Package: bioc-api-package
Architecture: all
Version: 0.1.0-1.2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7
Provides: r-api-bioc-3.14
Filename: pool/dists/focal/main/bioc-api-package_0.1.0-1.2004.1_all.deb
Size: 1140
MD5sum: b9418a1415fd4b72c25014ec58891283
SHA1: c5393f0b0f0fa0e03f5bb801279764b122791cad
SHA256: 64c1a3b3395ff5636dfb614a5cc67caab08fd74b5617067963997b02a50fedc4
SHA512: a2d15bc56c58286c944f92cbb8ab2b6417aad2f31e477562bf5ce020da22af43e98cb6ce4a008dd763aaa3f957033d52f6edaf644b8427f02e8dee0cac4c6829
Description: Provide the r-api-bioc-3.14 tag

Package: r-bioc-a4core
Architecture: all
Version: 1.56.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 962
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-a4core_1.56.0-1.ca2004.1_all.deb
Size: 279224
MD5sum: 149ee5eca65b0d5b4de5b02c5ce1a5d3
SHA1: 67b1a5ace0e71d7b80e53ccf5804ebc901f94c35
SHA256: 172c7bf270c4fd337caa4aca0e7767f17f611fda5886ea7456fb705703ba0496
SHA512: 625a625b5444c716d19dedc2cfe9155260fbf36c6f599b443acafe19f8bb9070578ef5a4bbac053a357ded8ddf279d400ccc738cc4a3b0bff516cf98a25f126a
Homepage: https://cran.r-project.org/package=a4Core
Description: Bioc Package 'a4Core' (Automated Affymetrix Array Analysis Core Package)
 Utility functions for the Automated Affymetrix Array Analysis set of
 packages.

Package: r-bioc-aims
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-e1071, r-bioc-biobase
Suggests: r-bioc-breastcancervdx, r-bioc-hgu133a.db, r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-aims_1.40.0-1.ca2004.1_all.deb
Size: 513672
MD5sum: 5089ecfebf1d5e751c8bf584e6e916d7
SHA1: fb5a57dcb595a3f9d8cedf8bf994dc89169cb478
SHA256: f8151b3cb95307a48968f7fabef5f3483a6eb264310f800c4a4099dd3be2f57a
SHA512: 7c070c1b182a5279834f8a0fee997c1093e697b8e3778f62c43facf44430c0c81a92f499f07982c9635e9ee00ca91aacb93056a26835dcd08560592205562bf5
Homepage: https://cran.r-project.org/package=AIMS
Description: Bioc Package 'AIMS' (AIMS : Absolute Assignment of Breast Cancer Intrinsic MolecularSubtype)
 This package contains the AIMS implementation. It contains necessary
 functions to assign the five intrinsic molecular subtypes (Luminal A,
 Luminal B, Her2-enriched, Basal-like, Normal-like). Assignments could be
 done on individual samples as well as on dataset of gene expression data.

Package: r-bioc-alabaster.ranges
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 809
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-alabaster.base, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-rhdf5
Suggests: r-cran-testthat, r-cran-knitr, r-bioc-biocstyle, r-cran-jsonlite
Filename: pool/dists/focal/main/r-bioc-alabaster.ranges_1.8.0-1.ca2004.1_all.deb
Size: 298252
MD5sum: 6820b0b68aac831d2c7b54820551e5d7
SHA1: e93723f165167402f1014fb928a2e18e7682131f
SHA256: 011f40c904f3990870f9fd69f1a072b4faea1fef5d06f87300a3acfd4f702724
SHA512: 5af4cf6b8ecabd72121fbade0297ad15a2f1d2e680d7057c87f173f62515397f90112e574c59f807427e0c4214ab9ebc72fdc864b3bc4f063a3dc1bcbb5bd0f9
Homepage: https://cran.r-project.org/package=alabaster.ranges
Description: Bioc Package 'alabaster.ranges' (Load and Save Ranges-related Artifacts from File)
 Save GenomicRanges, IRanges and related data structures into file artifacts,
 and load them back into memory. This is a more portable alternative to
 serialization of such objects into RDS files. Each artifact is associated
 with metadata for further interpretation; downstream applications can enrich
 this metadata with context-specific properties.

Package: r-bioc-alabaster.sce
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 815
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-alabaster.base, r-bioc-alabaster.se, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-testthat, r-bioc-biocstyle, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-alabaster.sce_1.8.0-1.ca2004.1_all.deb
Size: 280844
MD5sum: b34766acd067cdb5abbdbfdddb117ba2
SHA1: 40eb85127c8e0af36567bdec56ceda9afebdffdf
SHA256: 71ec9bd1e30ff9081f198ce4df7513c2edf48de2d1c7e80eade6b5d37aa672e7
SHA512: 1a0c6be9aa8564c883b00ba4da5f194b3a44c6491be8d8d81063587be525087ba4fb540d1d5030d1ae66a33b7165387d0f4e9ca7d0ccfe658adf055de0c4c413
Homepage: https://cran.r-project.org/package=alabaster.sce
Description: Bioc Package 'alabaster.sce' (Load and Save SingleCellExperiment from File)
 Save SingleCellExperiment into file artifacts, and load them back into
 memory. This is a more portable alternative to serialization of such objects
 into RDS files. Each artifact is associated with metadata for further
 interpretation; downstream applications can enrich this metadata with
 context-specific properties.

Package: r-bioc-alabaster.schemas
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1057
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-alabaster.schemas_1.8.0-1.ca2004.1_all.deb
Size: 211600
MD5sum: 878b156f7bde98846d20a4db68ca2c40
SHA1: cfc54ff44ea2661968ccd4d4ac666793e94dee58
SHA256: a18327a150cfbbd87315b9be03a32183af27a4eddcc0fc713354c5bf889f25f0
SHA512: 48290e5c75243c14e6f6c486dbe0a5d9f730668613bdc978b0d53adf20a8b2ef5544fd168282dbd30630579858187a794c99e442d132277c9c83c676ee2dd0e5
Homepage: https://cran.r-project.org/package=alabaster.schemas
Description: Bioc Package 'alabaster.schemas' (Schemas for the Alabaster Framework)
 Stores all schemas required by various alabaster.* packages. No computation
 should be performed by this package, as that is handled by alabaster.base.
 We use a separate package instead of storing the schemas in alabaster.base
 itself, to avoid conflating management of the schemas with code maintenence.

Package: r-bioc-alabaster.se
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-bioc-alabaster.base, r-bioc-alabaster.ranges, r-bioc-alabaster.matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-alabaster.se_1.8.0-1.ca2004.1_all.deb
Size: 284600
MD5sum: 55524f2c30e87d710f85a72bc10570e5
SHA1: d3e98e1b627491a8f96b54f8ff138e35c47af718
SHA256: e56ff7ded14e6ee9012100c11eed69764e3203f09b0cace83357852abcceb6c9
SHA512: 88ebe52aa7200d917b17add1f5893d0b62667ee96d251243d1389f2c8b66d2b8cc6f4c8b69df7d65123269316535a0f43ad20240aef368eab9272df4f6487c07
Homepage: https://cran.r-project.org/package=alabaster.se
Description: Bioc Package 'alabaster.se' (Load and Save SummarizedExperiments from File)
 Save SummarizedExperiments into file artifacts, and load them back into
 memory. This is a more portable alternative to serialization of such objects
 into RDS files. Each artifact is associated with metadata for further
 interpretation; downstream applications can enrich this metadata with
 context-specific properties.

Package: r-bioc-aldex2
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4872
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zcompositions, r-cran-lattice, r-cran-latticeextra, r-cran-rfast, r-bioc-biocparallel, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-multtest, r-cran-directlabels
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-ggpattern, r-cran-ggplot2, r-cran-cowplot, r-cran-tidyverse, r-cran-magick
Filename: pool/dists/focal/main/r-bioc-aldex2_1.40.0-1.ca2004.1_all.deb
Size: 2413044
MD5sum: 57cef71953163f2deaab6c2b5bbacd60
SHA1: e251beb0a3f88b66d321a9057f5d9210cdbdfd5e
SHA256: d3e84df50c0656de3e5d94fb40ea74b694249ba2dd4ed2990c4f0ae77d0402e2
SHA512: 18b836d5f16e6a4a7d626b5516fa4c50ee125c9ae305acc35426491149932c92818ea4a51abf662df3590a3fb8d43d2390639e032276e2d980efea9d2bf7a719
Homepage: https://cran.r-project.org/package=ALDEx2
Description: Bioc Package 'ALDEx2' (Analysis Of Differential Abundance Taking Sample and ScaleVariation Into Account)
 A differential abundance analysis for the comparison of two or more
 conditions. Useful for analyzing data from standard RNA-seq or meta-RNA-seq
 assays as well as selected and unselected values from in-vitro sequence
 selections. Uses a Dirichlet-multinomial model to infer abundance from
 counts, optimized for three or more experimental replicates. The method
 infers biological and sampling variation to calculate the expected false
 discovery rate, given the variation, based on a Wilcoxon Rank Sum test and
 Welch's t-test (via aldex.ttest), a Kruskal-Wallis test (via aldex.kw), a
 generalized linear model (via aldex.glm), or a correlation test (via
 aldex.corr). All tests report predicted p-values and posterior
 Benjamini-Hochberg corrected p-values. ALDEx2 also calculates expected
 standardized effect sizes for paired or unpaired study designs. ALDEx2 can
 now be used to estimate the effect of scale on the results and report on the
 scale-dependent robustness of results.

Package: r-bioc-all
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11245
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase
Suggests: r-cran-rpart
Filename: pool/dists/focal/main/r-bioc-all_1.50.0-1.ca2004.1_all.deb
Size: 11469660
MD5sum: 27cb5b256fb63fb395889cd9e90c0c3f
SHA1: f9c54c6a0e3bb66a9f1da67155549e0b7f6716cf
SHA256: c06a4d97ef8ec0875dc3ae46608ee97aebe1d9100cc3464cb5f31dcdd54ec23a
SHA512: a69f08cdc8ac59b3dab50b4683ef96d7f68d8af6e574aa846bc61f9e41913102ae0ece073712d48e169914c309d8f3b34f7b7bc3ee9925d38974633d8838a2ec
Homepage: https://cran.r-project.org/package=ALL
Description: Bioc Package 'ALL' (A data package)
 Data of T- and B-cell Acute Lymphocytic Leukemia from the Ritz Laboratory at
 the DFCI (includes Apr 2004 versions)

Package: r-bioc-altcdfenvs
Architecture: all
Version: 2.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1396
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-biobase, r-bioc-affy, r-bioc-makecdfenv, r-bioc-biostrings, r-bioc-hypergraph
Suggests: r-bioc-plasmodiumanophelescdf, r-bioc-hgu95acdf, r-bioc-hgu133aprobe, r-bioc-hgu133a.db, r-bioc-hgu133acdf, r-bioc-rgraphviz, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-bioc-altcdfenvs_2.70.0-1.ca2004.1_all.deb
Size: 989608
MD5sum: df96d40a312fc020fd1efea1fec10d4c
SHA1: 9d9cf23686f7099e7d306c94bec908d463ef6039
SHA256: aefa872a2e3269ac8c2e87b07e0aa84fe9c1a379b919fbb42d00af108ac03556
SHA512: 68ee31458dbb12bbc603a2301403e581e799c2583e914167cc8fa1e2001f69a4d756efadc7732f02e01f94e26f23e2892bddd922465ce1e32b6cbf6f72748351
Homepage: https://cran.r-project.org/package=altcdfenvs
Description: Bioc Package 'altcdfenvs' (alternative CDF environments (aka probeset mappings))
 Convenience data structures and functions to handle cdfenvs

Package: r-bioc-ancombc
Architecture: all
Version: 2.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2726
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cvxr, r-cran-desctools, r-cran-hmisc, r-cran-mass, r-cran-matrix, r-cran-rdpack, r-cran-doparallel, r-cran-dorng, r-cran-energy, r-cran-foreach, r-cran-gtools, r-cran-lme4, r-cran-lmertest, r-cran-multcomp, r-cran-nloptr
Suggests: r-bioc-mia, r-cran-dt, r-bioc-s4vectors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-treesummarizedexperiment, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-bioc-microbiome, r-bioc-phyloseq, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-bioc-ancombc_2.10.0-1.ca2004.1_all.deb
Size: 1218504
MD5sum: d293dd3176f7cec41f7a6d9173052bce
SHA1: 7c6a0c4a48d20bc96275e527577cf3cc27975a7e
SHA256: 86f50d361ca81dede1d2819443f0627eed3f12b7863be342e47fcb338c0b59f4
SHA512: 617a984295d73ec8172fdd021d1d5b559df38642b67ae1c95bd6a9c009d539f77ac39ef0fbdc7689bca7728e8a6ffd2bbaa2fce6ef238ad86f74875b05f2e53e
Homepage: https://cran.r-project.org/package=ANCOMBC
Description: Bioc Package 'ANCOMBC' (Microbiome differential abudance and correlation analyses withbias correction)
 ANCOMBC is a package containing differential abundance (DA) and correlation
 analyses for microbiome data. Specifically, the package includes Analysis of
 Compositions of Microbiomes with Bias Correction 2 (ANCOM-BC2), Analysis of
 Compositions of Microbiomes with Bias Correction (ANCOM-BC), and Analysis of
 Composition of Microbiomes (ANCOM) for DA analysis, and Sparse Estimation of
 Correlations among Microbiomes (SECOM) for correlation analysis. Microbiome
 data are typically subject to two sources of biases: unequal sampling
 fractions (sample-specific biases) and differential sequencing efficiencies
 (taxon-specific biases). Methodologies included in the ANCOMBC package are
 designed to correct these biases and construct statistically consistent
 estimators.

Package: r-bioc-annotate
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3232
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-cran-xml, r-bioc-biobase, r-cran-dbi, r-cran-xtable, r-bioc-biocgenerics, r-cran-httr
Suggests: r-bioc-hgu95av2.db, r-bioc-genefilter, r-bioc-biostrings, r-bioc-iranges, r-bioc-rae230a.db, r-bioc-rae230aprobe, r-bioc-tkwidgets, r-bioc-go.db, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-bioc-humanchrloc, r-bioc-rgraphviz, r-cran-runit, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-annotate_1.86.0-1.ca2004.1_all.deb
Size: 1864188
MD5sum: 2b8f3cb1ea046a5ac46aff948c0df6f3
SHA1: bfd22cb38e765ede846b2a8915b586ac1e094721
SHA256: b5659eada660f527873e5ba613ad26bd16455b7c4c612efd0f698acc677c8e5a
SHA512: 0a51f37ef2cb22ff74454593f62966ba921a30f49c8d7d8137e90afde69f75e04247974823cecfca3e252a6efc2a158baf46b0585a64abf3630d99354a6f85e1
Homepage: https://cran.r-project.org/package=annotate
Description: Bioc Package 'annotate' (Annotation for microarrays)
 Using R enviroments for annotation.

Package: r-bioc-annotationdbi
Architecture: all
Version: 1.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8676
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biobase, r-bioc-iranges, r-cran-dbi, r-cran-rsqlite, r-bioc-s4vectors, r-bioc-keggrest
Suggests: r-bioc-hgu95av2.db, r-bioc-go.db, r-bioc-org.sc.sgd.db, r-bioc-org.at.tair.db, r-cran-runit, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-org.hs.eg.db, r-bioc-reactome.db, r-bioc-annotationforge, r-bioc-graph, r-bioc-ensdb.hsapiens.v75, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-annotationdbi_1.70.0-1.ca2004.1_all.deb
Size: 4744532
MD5sum: 534a8bbce83b50ccbf783a25259430e7
SHA1: 7fc3c902794dd130699f5a881fb14a94a640528a
SHA256: 8fc14ec21117f6e9beaa46728af9faae88e2803486c0a0bfccb9a9488af57850
SHA512: 9c49c8d5bd09a9c20274c277fb96b84f312cd12cf2e43bc5385e48d64be64452124b84be174601bca2075199b6fa8a5cd106bf9e1d7f415290763dda6c19bc8f
Homepage: https://cran.r-project.org/package=AnnotationDbi
Description: Bioc Package 'AnnotationDbi' (Manipulation of SQLite-based annotations in Bioconductor)
 Implements a user-friendly interface for querying SQLite-based annotation
 data packages.

Package: r-bioc-annotationfilter
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1280
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-cran-lazyeval
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-testthat, r-cran-rsqlite, r-bioc-org.hs.eg.db, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-annotationfilter_1.32.0-1.ca2004.1_all.deb
Size: 499280
MD5sum: 6154246dedce9fbd6ca745f6903f5deb
SHA1: 8dd3bb63b6da46230af9d81e9e6feba37f779147
SHA256: 69772bcef462800c0f68de6076de7516d13113dbb002427ea1ac38794bd0b76e
SHA512: 1cd7d6c23c12686a957564ec747d17c4e8a168458c443eb800bb3e3eef4f0d0e640262bd6adb61f2c1b4ce7654d87ff416fda1a1029de2b5475f52632814543f
Homepage: https://cran.r-project.org/package=AnnotationFilter
Description: Bioc Package 'AnnotationFilter' (Facilities for Filtering Bioconductor Annotation Resources)
 This package provides class and other infrastructure to implement filters
 for manipulating Bioconductor annotation resources. The filters will be used
 by ensembldb, Organism.dplyr, and other packages.

Package: r-bioc-annotationforge
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5886
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biobase, r-bioc-annotationdbi, r-cran-dbi, r-cran-rsqlite, r-cran-xml, r-bioc-s4vectors, r-cran-rcurl
Suggests: r-bioc-biomart, r-cran-httr, r-bioc-genomeinfodb, r-bioc-biostrings, r-bioc-affy, r-bioc-hgu95av2.db, r-bioc-human.db0, r-bioc-org.hs.eg.db, r-bioc-homo.sapiens, r-bioc-go.db, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-knitr, r-cran-biocmanager, r-bioc-biocfilecache, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-annotationforge_1.50.0-1.ca2004.1_all.deb
Size: 4208740
MD5sum: 8eab327879d82280f5c9dc583c9dea7f
SHA1: 6f2c973c873da904a4351e7bddfc4c297fe69ff6
SHA256: 51c9ccf85af740b6ffcf755e1ecde818c47e8d0ba43908b5b147ed93f0a8be8e
SHA512: b886ca85731aa2b9dab71f2e4560fe17a0e68986f875614aa153302e45dcd58f0d0fbbbf4647954d5de0d6269f0e2f9874f6f67304b9ac0ae2036dcbd9971e41
Homepage: https://cran.r-project.org/package=AnnotationForge
Description: Bioc Package 'AnnotationForge' (Tools for building SQLite-based annotation data packages)
 Provides code for generating Annotation packages and their databases.
 Packages produced are intended to be used with AnnotationDbi.

Package: r-bioc-anvil
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4340
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-bioc-anvilbase, r-cran-futile.logger, r-cran-jsonlite, r-cran-httr, r-cran-rapiclient, r-cran-yaml, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr, r-cran-rlang, r-cran-shiny, r-cran-dt, r-cran-miniui, r-cran-htmltools, r-bioc-biocbaseutils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-readr, r-bioc-biocstyle, r-cran-devtools, r-bioc-anvilaz, r-bioc-anvilgcp, r-cran-lifecycle
Filename: pool/dists/focal/main/r-bioc-anvil_1.20.0-1.ca2004.1_all.deb
Size: 687240
MD5sum: 7081f1f16668b98e34645eee888823a2
SHA1: e248c1110ad177e1a8924abca40be76f2170c40d
SHA256: fb8a121795cffb44320cb5eb181f9380989750a1b2c74b8f67caeaa1a1b08686
SHA512: 3acd0b8513755f3c5feeac90ef9e1ed91a8df48c0a949d2969442ed1f9274af15ffc5f4642c4c768288ebbc59eeb350f0a9425727b6212eb8aa35f21e483c96c
Homepage: https://cran.r-project.org/package=AnVIL
Description: Bioc Package 'AnVIL' (Bioconductor on the AnVIL compute environment)
 The AnVIL is a cloud computing resource developed in part by the National
 Human Genome Research Institute. The AnVIL package provides end-user and
 developer functionality. For the end-user, AnVIL provides fast binary
 package installation, utitlities for working with Terra / AnVIL table and
 data resources, and convenient functions for file movement to and from
 Google cloud storage. For developers, AnVIL provides programatic access to
 the Terra, Leonardo, Rawls, and Dockstore RESTful programming interface,
 including helper functions to transform JSON responses to formats more
 amenable to manipulation in R.

Package: r-bioc-anvilbase
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 804
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-httr2, r-cran-dplyr, r-cran-jsonlite, r-cran-tibble
Suggests: r-bioc-anvil, r-bioc-anvilaz, r-bioc-anvilgcp, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tinytest
Filename: pool/dists/focal/main/r-bioc-anvilbase_1.2.0-1.ca2004.1_all.deb
Size: 287352
MD5sum: 356f3c2dc6eee5bffefab82ac926c97c
SHA1: 5cf8e98186a498f1685727036518a7ec1e280866
SHA256: 72ec4c5f60c6bf2d72cfcf7dd952aa4fae4104b844709d4d026f4b7161fbfee1
SHA512: afaba41c2bde4c951c78c8ef49c8c5373fb0a5cc32c0a7b9584d8025b2026ac02e9c24d2c800bc944196304cbe53f8800035eefc44822f72f162f532063554e1
Homepage: https://cran.r-project.org/package=AnVILBase
Description: Bioc Package 'AnVILBase' (Generic functions for interacting with the AnVIL ecosystem)
 Provides generic functions for interacting with the AnVIL ecosystem.
 Packages that use either GCP or Azure in AnVIL are built on top of
 AnVILBase. Extension packages will provide methods for interacting with
 other cloud providers.

Package: r-bioc-aroma.light
Architecture: all
Version: 3.38.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 897
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-matrixstats
Suggests: r-cran-princurve
Filename: pool/dists/focal/main/r-bioc-aroma.light_3.38.0-1.ca2004.1_all.deb
Size: 579276
MD5sum: 4860f570a77a95e0ece146847a6647d9
SHA1: 89a5be916ec72edc7a9df042ca23c524297b1491
SHA256: c27691f2269fddfbccae5c0d801a3df64808ca4d5662d59fe5c6a4d8c8dc1b2a
SHA512: e607f1c401471881c9dc7a5d3d3b4ed2e1d6868f51763e32ae0e53dbc10b060d8202324820a9853e40042a54ed264b9d5f5ef47b8a812b3a85b26ee33701eb99
Homepage: https://cran.r-project.org/package=aroma.light
Description: Bioc Package 'aroma.light' (Light-Weight Methods for Normalization and Visualization ofMicroarray Data using Only Basic R Data Types)
 Methods for microarray analysis that take basic data types such as matrices
 and lists of vectors.  These methods can be used standalone, be utilized in
 other packages, or be wrapped up in higher-level classes.

Package: r-bioc-arrayexpress
Architecture: all
Version: 1.67.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-oligo, r-bioc-limma, r-cran-httr, r-cran-jsonlite, r-cran-rlang
Suggests: r-bioc-affy
Filename: pool/dists/focal/main/r-bioc-arrayexpress_1.67.1-1.ca2004.1_all.deb
Size: 187492
MD5sum: 269fe909b1ea9e32704cd5f5f777cd78
SHA1: 089f480d302f1f726caf3da724b6c6d894e8190a
SHA256: 3b59d79c2db1d4f3e0a0ca7d018a54411a92ccf6f5b1a39c896c3579407056a8
SHA512: 8a6831f698263067550bb907a4fc44faf328d6e2acc224f6b12d1d23cbc61967342f79ea8c74c97f98d2ed9cb6c23642bccb301b4b932121feb2d03d58ac07e9
Homepage: https://cran.r-project.org/package=ArrayExpress
Description: Bioc Package 'ArrayExpress' (Access the ArrayExpress Collection at EMBL-EBI Biostudies andbuild Bioconductor data structures: ExpressionSet, AffyBatch,NChannelSet)
 Access the ArrayExpress Collection at EMBL-EBI Biostudies and build
 Bioconductor data structures: ExpressionSet, AffyBatch, NChannelSet.

Package: r-bioc-assorthead
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10941
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-assorthead_1.2.0-1.ca2004.1_all.deb
Size: 1350984
MD5sum: 55bc46ccc0c8b0e79d5a91a8241e4a0a
SHA1: fec1e7839281026c71b1f7c535a6a44fd1f67b78
SHA256: 7c32333b9029c9d98de313f3345da7711e7ae7eda6eaa5e9517391f4dfa4b17b
SHA512: 68e5c86fe26d2cb353ed279e43545f52c678c290330cae3c671d0ed40acec4ed54c7776511052967d57031cdec1c79df525a005e60835746949d1857eaea2cb6
Homepage: https://cran.r-project.org/package=assorthead
Description: Bioc Package 'assorthead' (Assorted Header-Only C++ Libraries)
 Vendors an assortment of useful header-only C++ libraries. Bioconductor
 packages can use these libraries in their own C++ code by LinkingTo this
 package without introducing any additional dependencies. The use of a
 central repository avoids duplicate vendoring of libraries across multiple R
 packages, and enables better coordination of version updates across cohorts
 of interdependent C++ libraries.

Package: r-bioc-aucell
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3565
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-cran-data.table, r-bioc-gseabase, r-cran-matrix, r-cran-mixtools, r-cran-r.utils, r-bioc-summarizedexperiment, r-bioc-biocgenerics
Suggests: r-bioc-biobase, r-bioc-biocstyle, r-cran-dosnow, r-cran-dynamictreecut, r-cran-dt, r-bioc-geoquery, r-cran-knitr, r-cran-nmf, r-cran-plyr, r-cran-r2html, r-cran-rmarkdown, r-cran-reshape2, r-cran-plotly, r-cran-rtsne, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-bioc-aucell_1.30.0-1.ca2004.1_all.deb
Size: 2265424
MD5sum: 02ab7ef20ba3cabca07cc5465c3ac3d2
SHA1: 60e88f316681bd69ee14d85dacedc6af90e8489a
SHA256: 30e50f6ecbf358c4ac15da0f41ccb37e8d3fcf649048fb7490682cb70420e199
SHA512: 2363abdb695cb077a4e957ee871d1dd3b698086b585a0b151a52d4df9504751a6f636f0cfdbb6ac36594e796c51cf784fe2540de9e394d28003616c7fab3b745
Homepage: https://cran.r-project.org/package=AUCell
Description: Bioc Package 'AUCell' (AUCell: Analysis of 'gene set' activity in single-cell RNA-seqdata (e.g. identify cells with specific gene signatures))
 AUCell allows to identify cells with active gene sets (e.g. signatures, gene
 modules...) in single-cell RNA-seq data. AUCell uses the "Area Under the
 Curve" (AUC) to calculate whether a critical subset of the input gene set is
 enriched within the expressed genes for each cell. The distribution of AUC
 scores across all the cells allows exploring the relative expression of the
 signature. Since the scoring method is ranking-based, AUCell is independent
 of the gene expression units and the normalization procedure. In addition,
 since the cells are evaluated individually, it can easily be applied to
 bigger datasets, subsetting the expression matrix if needed.

Package: r-bioc-ballgown
Architecture: all
Version: 2.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4591
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-cran-rcolorbrewer, r-bioc-sva, r-bioc-limma, r-bioc-rtracklayer, r-bioc-biobase, r-bioc-genomeinfodb
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-ballgown_2.40.0-1.ca2004.1_all.deb
Size: 2991612
MD5sum: 1a810eeb044d26710717ad44ad2537af
SHA1: fe468fcb6272f72d8359f45ab9e9de3fb6e880c5
SHA256: 0e88483840363fafb33c555e7fb6a2f586ab41d0894031e2e0a347485066cda9
SHA512: 84ea4163e565c44b6162e2417ef8bebb54e0b921e10dbd96f212424c464f48ad855927ef1f8cb197439f020a73dcf43aca238cf8fcfd9828e047457fb7950e67
Homepage: https://cran.r-project.org/package=ballgown
Description: Bioc Package 'ballgown' (Flexible, isoform-level differential expression analysis)
 Tools for statistical analysis of assembled transcriptomes, including
 flexible differential expression analysis, visualization of transcript
 structures, and matching of assembled transcripts to annotation.

Package: r-bioc-basilisk.utils
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-dir.expiry
Suggests: r-cran-reticulate, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-testthat, r-bioc-basilisk
Filename: pool/dists/focal/main/r-bioc-basilisk.utils_1.20.0-1.ca2004.1_all.deb
Size: 265396
MD5sum: f91e451447ca004cf9919c82807844e6
SHA1: 7fa2f3f106412fb469eee7c1eda2de0d0b6f4d49
SHA256: c8a3c1a60f00b7074566c4955b38777d58b3fc60dadc1082d0d75a2ce5b0c841
SHA512: fd7628d14dde9d880248a98e29748713cbf71f5a166175d68f98a58d5ba3c33ea4d57b7587e76635d6493427ec0f523457ea2487ee646d2846ee5a5c9915384c
Homepage: https://cran.r-project.org/package=basilisk.utils
Description: Bioc Package 'basilisk.utils' (Basilisk Installation Utilities)
 Implements utilities for installation of the basilisk package, primarily for
 creation of the underlying Conda instance. This allows us to avoid
 re-writing the same R code in both the configure script (for centrally
 administered R installations) and in the lazy installation mechanism (for
 distributed package binaries). It is highly unlikely that developers - or,
 heaven forbid, end-users! - will need to interact with this package
 directly; they should be using the basilisk package instead.

Package: r-bioc-basilisk
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-reticulate, r-bioc-dir.expiry, r-bioc-basilisk.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-testthat, r-cran-callr
Filename: pool/dists/focal/main/r-bioc-basilisk_1.20.0-1.ca2004.1_all.deb
Size: 285220
MD5sum: b4172895251fa5a530f89f1746c77479
SHA1: a1e36667412efb4a5dfd4ea90b7dee6f533fa284
SHA256: 7a3992f12ddbc7eedd0c3ad3d759901f626bcbc283ee608825807242cc7809a7
SHA512: 98fc81d26eac44a142670416f16a7393f48aa5ec264abc2d0d387bbd65f56ebaba9a5b86d26a2292344409f7b6c3e6e7ced9ff8162886934bf011256715ec267
Homepage: https://cran.r-project.org/package=basilisk
Description: Bioc Package 'basilisk' (Freezing Python Dependencies Inside Bioconductor Packages)
 Installs a self-contained conda instance that is managed by the
 R/Bioconductor installation machinery. This aims to provide a consistent
 Python environment that can be used reliably by Bioconductor packages.
 Functions are also provided to enable smooth interoperability of multiple
 Python environments in a single R session.

Package: r-bioc-bayseq
Architecture: all
Version: 2.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1833
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-edger, r-bioc-genomicranges, r-cran-abind
Suggests: r-bioc-biocstyle, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-bayseq_2.42.0-1.ca2004.1_all.deb
Size: 1608084
MD5sum: 91d3c9020b964234c40f43550f955a39
SHA1: f2987219bd34c2626a1c7a6c58358c9d2a71d712
SHA256: a265d9b6ef9e1791ce9188a82d3a17db56a88ec52a92db255a9a2236b9d9c772
SHA512: ecbd2c917a9cdfd8fac5e72d53780c69d173f79d3360f678ccc043a2dca3a71371624667531e2c777fc52d1f59afb500d77246b07cc1fc875f3fa7b627c70819
Homepage: https://cran.r-project.org/package=baySeq
Description: Bioc Package 'baySeq' (Empirical Bayesian analysis of patterns of differentialexpression in count data)
 This package identifies differential expression in high-throughput 'count'
 data, such as that derived from next-generation sequencing machines,
 calculating estimated posterior likelihoods of differential expression (or
 more complex hypotheses) via empirical Bayesian methods.

Package: r-bioc-biocbaseutils
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 708
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-tinytest
Filename: pool/dists/focal/main/r-bioc-biocbaseutils_1.10.0-1.ca2004.1_all.deb
Size: 228148
MD5sum: 85d7b18368d489771d9dd04ee583173f
SHA1: b51a73159bf175c16489dad7993dcb77e846d07d
SHA256: 4f2ce90628458c00fe4f6c47881e052c2fa8aae7ddb4be8f2f3f5500c6c1cf77
SHA512: 44e96b7c38a3f625cdd4087cdcccaae54a271626d946d5ce121bfce1eaa6c14ad3dba5b03f5c49e288f7917dadcfbbef8fca9fdf795551afcd0a8916c42e8369
Homepage: https://cran.r-project.org/package=BiocBaseUtils
Description: Bioc Package 'BiocBaseUtils' (General utility functions for developing Bioconductor packages)
 The package provides utility functions related to package development. These
 include functions that replace slots, and selectors for show methods. It
 aims to coalesce the various helper functions often re-used throughout the
 Bioconductor ecosystem.

Package: r-bioc-bioccheck
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1244
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocbaseutils, r-bioc-biocfilecache, r-cran-biocmanager, r-bioc-biocviews, r-cran-callr, r-cran-cli, r-cran-codetools, r-bioc-graph, r-cran-httr2, r-cran-knitr, r-cran-rvest, r-cran-stringdist
Suggests: r-bioc-biocstyle, r-cran-devtools, r-cran-gert, r-cran-jsonlite, r-cran-rmarkdown, r-cran-tinytest, r-cran-usethis
Filename: pool/dists/focal/main/r-bioc-bioccheck_1.44.0-1.ca2004.1_all.deb
Size: 621884
MD5sum: f7ff38965128ccae1c8f1b521e2728d1
SHA1: 86ad1f6f8fb89deb76607a026ee16a0337e431c1
SHA256: 794d1ffac9e6165a53f2123c93bde1b1ea4a26a07c4c3cdb114a480210be4aa8
SHA512: 1e9eaf937ab4dbd7b4a78fcc5547dd85d0489958757535ded754fe3ad95b08dba7204cd5e5165e3a2730c8ced64db9d0e9c993809301b48d768513ba060581f2
Homepage: https://cran.r-project.org/package=BiocCheck
Description: Bioc Package 'BiocCheck' (Bioconductor-specific package checks)
 BiocCheck guides maintainers through Bioconductor best practicies. It runs
 Bioconductor-specific package checks by searching through package code,
 examples, and vignettes. Maintainers are required to address all errors,
 warnings, and most notes produced.

Package: r-bioc-biocfilecache
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Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2434
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbplyr, r-cran-dplyr, r-cran-rsqlite, r-cran-dbi, r-cran-filelock, r-cran-curl, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-bioc-rtracklayer
Filename: pool/dists/focal/main/r-bioc-biocfilecache_2.16.0-1.ca2004.1_all.deb
Size: 496436
MD5sum: f8c31ec7e2e151f7972634530ced6896
SHA1: 823a605cb73efbfb7acef895cdb871b62a80b019
SHA256: b009e989f9e72bb7d7b02c0b85063fbda598a7d514ba4049c37eb5e628bdc8da
SHA512: 5c3fc1f1de48a0312cf594060ff0bde19583f1be67615d60fa411a78f8cd4e0e2f8d4c078e40733a8460755be54894a8e679f99d3c91fcc3b00f48a58e71a3e7
Homepage: https://cran.r-project.org/package=BiocFileCache
Description: Bioc Package 'BiocFileCache' (Manage Files Across Sessions)
 This package creates a persistent on-disk cache of files that the user can
 add, update, and retrieve. It is useful for managing resources (such as
 custom Txdb objects) that are costly or difficult to create, web resources,
 and data files used across sessions.

Package: r-bioc-biocgenerics
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Version: 0.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-generics
Suggests: r-bioc-biobase, r-bioc-s4vectors, r-bioc-iranges, r-bioc-s4arrays, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-hdf5array, r-bioc-genomicranges, r-bioc-pwalign, r-bioc-rsamtools, r-bioc-annotationdbi, r-bioc-affy, r-bioc-affyplm, r-bioc-deseq2, r-bioc-flowclust, r-bioc-msnbase, r-bioc-annotate, r-bioc-multiassayexperiment, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-biocgenerics_0.54.0-1.ca2004.1_all.deb
Size: 631980
MD5sum: 1e882fe26793a6bf5505b0bb9933a518
SHA1: cef66790e55031bc959f73edf11dd6688728fb60
SHA256: 9c335c7994d638fea6da8f525332069a18f9c82a3bcb1d523ff133c9ac920033
SHA512: 3ae23a532bb80d2a1446351a8fc63d54a9be2b24e2d131eb253239333e3ccbb35fceb0483452610934332ceb3d2b763305d7bcfefad2db0fa891322466387131
Homepage: https://cran.r-project.org/package=BiocGenerics
Description: Bioc Package 'BiocGenerics' (S4 generic functions used in Bioconductor)
 The package defines many S4 generic functions used in Bioconductor.

Package: r-bioc-biocio
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Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 913
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-biocio_1.18.0-1.ca2004.1_all.deb
Size: 406576
MD5sum: 93f436bf12c47cfaaf15eb34a205e90e
SHA1: acf75178993de738542625ac4a16d108be1eda97
SHA256: 499b52eca92bb65834c078d9969880eba74c6e0a635a81909bef865239de7b65
SHA512: 7c1d472a939dc2b1f72c93f57ba746c9c010aa85fc41ffbefbe775b6ef793cd12c0fd440e8eeec0dd635941f088a337bfa0c5c973cbe088578cc9c17ce022dd6
Homepage: https://cran.r-project.org/package=BiocIO
Description: Bioc Package 'BiocIO' (Standard Input and Output for Bioconductor Packages)
 The `BiocIO` package contains high-level abstract classes and generics used
 by developers to build IO funcionality within the Bioconductor suite of
 packages. Implements `import()` and `export()` standard generics for
 importing and exporting biological data formats. `import()` supports
 whole-file as well as chunk-wise iterative import. The `import()` interface
 optionally provides a standard mechanism for 'lazy' access via `filter()`
 (on row or element-like components of the file resource), `select()` (on
 column-like components of the file resource) and `collect()`. The `import()`
 interface optionally provides transparent access to remote (e.g. via https)
 as well as local access. Developers can register a file extension, e.g.,
 `.loom` for dispatch from character-based URIs to specific `import()` /
 `export()` methods based on classes representing file types, e.g.,
 `LoomFile()`.

Package: r-bioc-biocpkgtools
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5100
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-bioc-biocfilecache, r-cran-biocmanager, r-bioc-biocviews, r-cran-tibble, r-cran-rlang, r-cran-stringr, r-cran-rvest, r-cran-dplyr, r-cran-xml2, r-cran-readr, r-cran-httr, r-cran-htmltools, r-cran-dt, r-cran-igraph, r-cran-jsonlite, r-cran-gh, r-bioc-rbgl, r-bioc-graph, r-cran-rorcid, r-cran-curl, r-cran-glue, r-cran-lubridate, r-cran-purrr, r-cran-tidyr, r-cran-yaml
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tm, r-cran-networkd3, r-cran-visnetwork, r-cran-clipr, r-cran-blastula, r-cran-kableextra, r-cran-diagrammer, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-bioc-biocpkgtools_1.26.0-1.ca2004.1_all.deb
Size: 1216996
MD5sum: ec4e439c93a31acb551b56965cc8b3f7
SHA1: 7ad9ee7fcdd754e2ff234c9643e53891747577ba
SHA256: ddbe26bfdf48d1cd654ee7cec29f98dcdd6d26213daf554d60e4d5666f6e467b
SHA512: 6699e2e7790697a8930b21e341e5ae9d829722bc61b4a12e6a3ba84a218305724964c768718c761c7a0269c06c1640bc616529557b4dad9048051dca8abd051b
Homepage: https://cran.r-project.org/package=BiocPkgTools
Description: Bioc Package 'BiocPkgTools' (Collection of simple tools for learning about BioconductorPackages)
 Bioconductor has a rich ecosystem of metadata around packages, usage, and
 build status. This package is a simple collection of functions to access
 that metadata from R. The goal is to expose metadata for data mining and
 value-added functionality such as package searching, text mining, and
 analytics on packages.

Package: r-bioc-biocstyle
Architecture: all
Version: 2.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1863
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-yaml, r-cran-biocmanager
Suggests: r-bioc-biocgenerics, r-cran-runit, r-cran-htmltools
Filename: pool/dists/focal/main/r-bioc-biocstyle_2.36.0-1.ca2004.1_all.deb
Size: 856456
MD5sum: 0b4f00e02b9fab7cd428d132a439cf9e
SHA1: be842e7cad6f31f08caf23893eed7bc5dd519c91
SHA256: 6adec1db6def488076e0071397877c8b7e5d7ecf323220d5eb00f1d6a26fd331
SHA512: e714ebaf87e6ca29c8ea8f72be9689750a38680ee5540a0a8adfe38bd7155c41817c0995a4f183508465fbd1868a2b99c37ad1df186ae20b8c18baa889f287c6
Homepage: https://cran.r-project.org/package=BiocStyle
Description: Bioc Package 'BiocStyle' (Standard styles for vignettes and other Bioconductor documents)
 Provides standard formatting styles for Bioconductor PDF and HTML documents.
 Package vignettes illustrate use and functionality.

Package: r-bioc-biocversion
Architecture: all
Version: 3.21.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 34
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-bioc-biocversion_3.21.1-1.ca2004.1_all.deb
Size: 7096
MD5sum: 5c243594a681f6aced530a5e70b62dc0
SHA1: 9188c6ce6ecffd725f6b299af918ab194961ec27
SHA256: 34d0ed7c27dbf0bb0398789073085913f1f55e8a4b16c203928591338b11b0e4
SHA512: 7a8dbfa15beee90dc5693a61423ddf4996f3b14096074a6c798d453113a0b9e2173ceffdb05abaed26eeee2a5e3ebd240d57ac05de7f6ea756205b7c3649c4db
Homepage: https://cran.r-project.org/package=BiocVersion
Description: Bioc Package 'BiocVersion' (Set the appropriate version of Bioconductor packages)
 This package provides repository information for the appropriate version of
 Bioconductor.

Package: r-bioc-biocviews
Architecture: all
Version: 1.76.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1920
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-graph, r-bioc-rbgl, r-cran-xml, r-cran-rcurl, r-cran-runit, r-cran-biocmanager
Suggests: r-bioc-biocgenerics, r-cran-knitr, r-cran-commonmark, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-biocviews_1.76.0-1.ca2004.1_all.deb
Size: 652508
MD5sum: ac337cd4b2475b318d07786a70bd63d4
SHA1: 4afa824d422262695ee7df12970aff6997f9a3ce
SHA256: f9f57dd524c6f54c9ca1fbe5fb4395ac62b73ce1b4f69780af92fd4869f7bcb6
SHA512: d7ab36f321cc44bc412ec0cecac6b58a7afa1f3536c3ab0bc6d1dd73b0fefee67c82627d762ce47cf2082d2efcf61b5d95c5127641000ccb891be5b8fdac4107
Homepage: https://cran.r-project.org/package=biocViews
Description: Bioc Package 'biocViews' (Categorized views of R package repositories)
 Infrastructure to support 'views' used to classify Bioconductor packages.
 'biocViews' are directed acyclic graphs of terms from a controlled
 vocabulary. There are three major classifications, corresponding to
 'software', 'annotation', and 'experiment data' packages.

Package: r-bioc-biomart
Architecture: all
Version: 2.64.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1934
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-cran-progress, r-cran-stringr, r-cran-httr2, r-cran-digest, r-bioc-biocfilecache, r-cran-rappdirs, r-cran-xml2, r-cran-curl
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-httptest2
Filename: pool/dists/focal/main/r-bioc-biomart_2.64.0-1.ca2004.1_all.deb
Size: 657732
MD5sum: 1c27991b4718374d1b1f10fd84808ed7
SHA1: 092612bf3747849f8263a5f41999b5e21903bc6a
SHA256: 36654a87c4bc6f259a675bab2a1035eed6a2fa9cceb95a96ab4ab72d83ae446c
SHA512: 192bc78dc0201ec39efa09f832e7ffb15172987af769b74aa9c51dcdc0b59977a069962cee9a5be974e2d638b8929ad3a80b69f9001cfeb7ff5ec59a05977e9f
Homepage: https://cran.r-project.org/package=biomaRt
Description: Bioc Package 'biomaRt' (Interface to BioMart databases (i.e. Ensembl))
 In recent years a wealth of biological data has become available in public
 data repositories. Easy access to these valuable data resources and firm
 integration with data analysis is needed for comprehensive bioinformatics
 data analysis.  biomaRt provides an interface to a growing collection of
 databases implementing the BioMart software suite
 (<http://www.biomart.org>). The package enables retrieval of large amounts
 of data in a uniform way without the need to know the underlying database
 schemas or write complex SQL queries. The most prominent examples of BioMart
 databases are maintain by Ensembl, which provides biomaRt users direct
 access to a diverse set of data and enables a wide range of powerful online
 queries from gene annotation to database mining.

Package: r-bioc-biomformat
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1196
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plyr, r-cran-jsonlite, r-cran-matrix, r-bioc-rhdf5
Suggests: r-cran-testthat, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-biomformat_1.36.0-1.ca2004.1_all.deb
Size: 515908
MD5sum: 0cdab97a6d530db70417aafb6d7073d2
SHA1: 4a58c59a6e83ea61baf63d732506f8ad7e739460
SHA256: 32b228e6f40de1ae24d144130738e6a08c198bea2a0579f04c8ee01e648265e4
SHA512: 51deac882b674f98c127fab99aed5457899ebda3d5b266867f1c496e6fd6311a7fcdadd04ca0da45348d6eeafd7555d2bfe7f6c989974adc140353dbabc0b3ac
Homepage: https://cran.r-project.org/package=biomformat
Description: Bioc Package 'biomformat' (An interface package for the BIOM file format)
 This is an R package for interfacing with the BIOM format. This package
 includes basic tools for reading biom-format files, accessing and subsetting
 data tables from a biom object (which is more complex than a single table),
 as well as limited support for writing a biom-object back to a biom-format
 file. The design of this API is intended to match the python API and other
 tools included with the biom-format project, but with a decidedly "R flavor"
 that should be familiar to R users. This includes S4 classes and methods, as
 well as extensions of common core functions/methods.

Package: r-bioc-bladderbatch
Architecture: all
Version: 1.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9468
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase
Filename: pool/dists/focal/main/r-bioc-bladderbatch_1.46.0-1.ca2004.1_all.deb
Size: 9641776
MD5sum: 1a8a8745fd6602ca9f340b6b1d90e9e1
SHA1: bdd213d1ea4f2cee4d7dd39830631987b538cc86
SHA256: 9b2a9ef2a117136f24b60907bb455c84e21b4f7629ee98549a47ee30f9539c49
SHA512: 4348f2e69fd88ffb7d71990b78eccf63e242686e7cd0e9a838cc261acb80d54832ae9dbea5d1dedac7721e5887b9a550e59e20484187e626f1ee871477d5d3ef
Homepage: https://cran.r-project.org/package=bladderbatch
Description: Bioc Package 'bladderbatch' (Bladder gene expression data illustrating batch effects)
 This package contains microarray gene expression data on 57 bladder samples
 from 5 batches. The data are used as an illustrative example for the sva
 package.

Package: r-bioc-bsgenome.hsapiens.ucsc.hg19
Architecture: all
Version: 1.4.3-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 789819
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-bsgenome
Filename: pool/dists/focal/main/r-bioc-bsgenome.hsapiens.ucsc.hg19_1.4.3-1.ca2004.2_all.deb
Size: 659810244
MD5sum: cb1f9a61f99f60550e4c39a56d67f114
SHA1: 93d1b61819d12dee9421eb2e86d61251294d9b79
SHA256: 1f82c2e5cca3535394e4ee81c950d55b398c29016334f3ff4569fba3b69533ba
SHA512: 740ae7e5e31c235e52d15c53827635e453e8c2009ce31b3d27f22a143dc5d5c09973c5119c6735fe992bd5f4a40ddd3c45c52c610a2458a71e44d8246a6f733c
Homepage: https://cran.r-project.org/package=BSgenome.Hsapiens.UCSC.hg19
Description: Bioc Package 'BSgenome.Hsapiens.UCSC.hg19' (Full genome sequences for Homo sapiens (UCSC version hg19, basedon GRCh37.p13))
 Full genome sequences for Homo sapiens (Human) as provided by UCSC (hg19,
 based on GRCh37.p13) and stored in Biostrings objects.

Package: r-bioc-bsgenome.mmusculus.ucsc.mm10
Architecture: all
Version: 1.4.3-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 688287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-bsgenome
Filename: pool/dists/focal/main/r-bioc-bsgenome.mmusculus.ucsc.mm10_1.4.3-1.ca2004.2_all.deb
Size: 575260316
MD5sum: c71ce4b3c3c336b00672cd100ac18ad6
SHA1: f17a7d33044b1e70043ada5b517fcc1861ea86b2
SHA256: af858726e0c25e4afa06ed7d7eebfeb0c6109b0f49610931e4e35af093b8b05b
SHA512: be91265271d07bc050410dd38c786ab0f42c495bb05eed83dc40ae289863a384879528d9483c526d26c8ae6656dc6d4c497b5d4735d9fcdb61bc269f2ffa9119
Homepage: https://cran.r-project.org/package=BSgenome.Mmusculus.UCSC.mm10
Description: Bioc Package 'BSgenome.Mmusculus.UCSC.mm10' (Full genome sequences for Mus musculus (UCSC version mm10, basedon GRCm38.p6))
 Full genome sequences for Mus musculus (Mouse) as provided by UCSC (mm10,
 based on GRCm38.p6) and stored in Biostrings objects.

Package: r-bioc-bsgenome.mmusculus.ucsc.mm9
Architecture: all
Version: 1.4.0-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665526
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-bsgenome
Suggests: r-bioc-txdb.mmusculus.ucsc.mm9.knowngene
Filename: pool/dists/focal/main/r-bioc-bsgenome.mmusculus.ucsc.mm9_1.4.0-1.ca2004.2_all.deb
Size: 557008028
MD5sum: 142cb1a7eba5b4963509c9ec7627e440
SHA1: 9d0b15f8f209fc028e8bc4a8477cac3b6ce9e70e
SHA256: a816e5f5c4bea9cff89d328a868a730e81644306d0369d9aae6c915cd9a6f6bd
SHA512: 57a27d7e7b83432dc468bdd622304778c92f7d761a655cd73db3c085952ae0592c580bf7a62bf99a04f6f379cb7eb55a6b1ec7be428fce3353cf566ebc400d5d
Homepage: https://cran.r-project.org/package=BSgenome.Mmusculus.UCSC.mm9
Description: Bioc Package 'BSgenome.Mmusculus.UCSC.mm9' (Full genome sequences for Mus musculus (UCSC version mm9))
 Full genome sequences for Mus musculus (Mouse) as provided by UCSC (mm9,
 Jul. 2007) and stored in Biostrings objects.

Package: r-bioc-bsgenome
Architecture: all
Version: 1.76.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7557
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-biostrings, r-bioc-biocio, r-bioc-rtracklayer, r-cran-matrixstats, r-bioc-xvector, r-bioc-rsamtools
Suggests: r-cran-biocmanager, r-bioc-bsgenome.celegans.ucsc.ce2, r-bioc-bsgenome.hsapiens.ucsc.hg38, r-bioc-bsgenome.hsapiens.ucsc.hg38.masked, r-bioc-bsgenome.mmusculus.ucsc.mm10, r-bioc-bsgenome.rnorvegicus.ucsc.rn5, r-bioc-bsgenome.scerevisiae.ucsc.saccer1, r-bioc-bsgenome.hsapiens.ncbi.grch38, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-txdb.mmusculus.ucsc.mm10.knowngene, r-bioc-snplocs.hsapiens.dbsnp144.grch38, r-bioc-xtrasnplocs.hsapiens.dbsnp144.grch38, r-bioc-hgu95av2probe, r-cran-runit, r-bioc-bsgenomeforge
Filename: pool/dists/focal/main/r-bioc-bsgenome_1.76.0-1.ca2004.1_all.deb
Size: 7009748
MD5sum: 417c48cc2b5d6f7734d3193371e65795
SHA1: 6d4de25d8f0c43eb55ce795cd4856bd7711e7243
SHA256: 88714ccbdac5a2743e51e7c7153d562fae7a1da98d0ea883b26c0e52c9e922ed
SHA512: 7f89efb43f317420d69a11c070c306d5e0305664a3fe0bbf0bae798647ca2d660378a94f01164bcf4a125011d5cadae45638969d009b59f51e127e80be841163
Homepage: https://cran.r-project.org/package=BSgenome
Description: Bioc Package 'BSgenome' (Software infrastructure for efficient representation of fullgenomes and their SNPs)
 Infrastructure shared by all the Biostrings-based genome data packages.

Package: r-bioc-bumphunter
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4643
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-cran-foreach, r-cran-iterators, r-cran-locfit, r-cran-matrixstats, r-bioc-limma, r-cran-dorng, r-bioc-biocgenerics, r-bioc-genomicfeatures, r-bioc-annotationdbi
Suggests: r-cran-testthat, r-cran-runit, r-cran-doparallel, r-bioc-txdbmaker, r-bioc-org.hs.eg.db, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene
Filename: pool/dists/focal/main/r-bioc-bumphunter_1.50.0-1.ca2004.1_all.deb
Size: 4613668
MD5sum: 06eb9dcf48ca5b3589e3fdf4f0547f6c
SHA1: a98ce4645e02b56188728564430e7f1c0647365b
SHA256: 7dd9f4de6e4088ed820148b368ab70173bd082c51875685ba769c0170b534335
SHA512: 7a83951dbf00302e9771a4e26a5081f061f1fe615f3f8ca17201c4729e5c0d953e6532ffda7cf1e038eb0df0f62f23b61e82d79cdd5e28bc6e9958071d184cca
Homepage: https://cran.r-project.org/package=bumphunter
Description: Bioc Package 'bumphunter' (Bump Hunter)
 Tools for finding bumps in genomic data

Package: r-bioc-bumpymatrix
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1922
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-bioc-s4vectors, r-bioc-iranges
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-bumpymatrix_1.16.0-1.ca2004.1_all.deb
Size: 863688
MD5sum: 9be88fb9b0054238df34d66e17bb682f
SHA1: 2319bf2c0a78c24dd2bf3795fe8f7f934535174a
SHA256: cbec9b0829440e6a176d17192c5aacd3794e1bf997b4cc52f7435b53acacfc4f
SHA512: bac96ec9deeb969b6b550156cc39092883e3f76a1b883d8aba07cd0f4c018ec51a9912f000a531f0f2cb44986c670951e42eb2f08b9c55074e454221ae2fd14c
Homepage: https://cran.r-project.org/package=BumpyMatrix
Description: Bioc Package 'BumpyMatrix' (Bumpy Matrix of Non-Scalar Objects)
 Implements the BumpyMatrix class and several subclasses for holding
 non-scalar objects in each entry of the matrix. This is akin to a ragged
 array but the raggedness is in the third dimension, much like a bumpy
 surface - hence the name. Of particular interest is the
 BumpyDataFrameMatrix, where each entry is a Bioconductor data frame. This
 allows us to naturally represent multivariate data in a format that is
 compatible with two-dimensional containers like the SummarizedExperiment and
 MultiAssayExperiment objects.

Package: r-bioc-category
Architecture: all
Version: 2.74.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1977
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-annotationdbi, r-bioc-biobase, r-cran-matrix, r-bioc-graph, r-bioc-rbgl, r-bioc-gseabase, r-bioc-genefilter, r-bioc-annotate, r-cran-dbi
Suggests: r-bioc-ebarrays, r-bioc-all, r-bioc-rgraphviz, r-cran-rcolorbrewer, r-cran-xtable, r-bioc-hgu95av2.db, r-bioc-keggrest, r-bioc-karyoploter, r-bioc-geneplotter, r-bioc-limma, r-cran-lattice, r-cran-runit, r-bioc-org.sc.sgd.db, r-bioc-gostats, r-bioc-go.db
Filename: pool/dists/focal/main/r-bioc-category_2.74.0-1.ca2004.1_all.deb
Size: 1374596
MD5sum: 537accc16d33491adcd3cd9e26e638d4
SHA1: c475c206d650a52c16412532a005da1ba25adc1a
SHA256: ff67034ceb5cd89646c11f6075c7ebd77705cd47e5ac80a3822b70ae078c5b60
SHA512: b2d3b4294aabc8c9b003f08fc34905a7b3acd852372dbcce6b44399a2e0b0cdf90d0ef59e5558267b4af2878a0f335ffd4d34dc895f8fa1d054a15cf5d3738e1
Homepage: https://cran.r-project.org/package=Category
Description: Bioc Package 'Category' (Category Analysis)
 A collection of tools for performing category (gene set enrichment)
 analysis.

Package: r-bioc-celldex
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1367
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-cran-matrix, r-bioc-experimenthub, r-bioc-annotationhub, r-bioc-annotationdbi, r-bioc-s4vectors, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-gypsum, r-bioc-alabaster.base, r-bioc-alabaster.matrix, r-bioc-alabaster.se, r-cran-dbi, r-cran-rsqlite, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-dt, r-cran-jsonvalidate, r-cran-biocmanager, r-bioc-ensembldb
Filename: pool/dists/focal/main/r-bioc-celldex_1.18.0-1.ca2004.1_all.deb
Size: 412216
MD5sum: ca614165e90b3773a66230eec9acc854
SHA1: 62144bb0e4c9205b69b5b753c7174bc7467ada5e
SHA256: 7149ecddb7fa0f24b3e90aadc77fd6c3e3f81ff82f15aeff35baa7e190ebcfbf
SHA512: 600d534df647bb6834b74b3cbb9e66c31a494342f2aa904e22b569834f6a5f2e52c917d50f50a05518d80bf3c43ca047d19a038006e9fe65c84b58974cda6eb8
Homepage: https://cran.r-project.org/package=celldex
Description: Bioc Package 'celldex' (Index of Reference Cell Type Datasets)
 Provides a collection of reference expression datasets with curated cell
 type labels, for use in procedures like automated annotation of single-cell
 data or deconvolution of bulk RNA-seq.

Package: r-bioc-cghbase
Architecture: all
Version: 1.68.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1383
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-marray
Filename: pool/dists/focal/main/r-bioc-cghbase_1.68.0-1.ca2004.1_all.deb
Size: 1087992
MD5sum: 94a38a3e000a37fb1b198d37b95d7ecf
SHA1: 2afd2e750e5a9ef51302d27de9e2f817aabeec18
SHA256: 10ddf7de47db15ed1309aefed94b00211fdc7c0ac39e7e01c4b16b7006b79b00
SHA512: 10247107f5f9d0de7c231448e0875687442ece835e2f8f06c2034631a926bee47b66ab5a5846e99316dfb3a168106af4da8204e8ecd147817d8983e76c490859
Homepage: https://cran.r-project.org/package=CGHbase
Description: Bioc Package 'CGHbase' (CGHbase: Base functions and classes for arrayCGH data analysis.)
 Contains functions and classes that are needed by arrayCGH packages.

Package: r-bioc-cghcall
Architecture: all
Version: 2.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 788
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-impute, r-bioc-dnacopy, r-bioc-biobase, r-bioc-cghbase, r-cran-snowfall
Filename: pool/dists/focal/main/r-bioc-cghcall_2.70.0-1.ca2004.1_all.deb
Size: 523052
MD5sum: 091251d2a5cba0a3a96421218085f3e8
SHA1: 0450b3652fa2c6f98f4966bbed3e06dff38cbee0
SHA256: 7d4b3988c325f5b3a4fbdaad74384ab3561f2d7313fbbb438170648fe69a8e53
SHA512: 2585188d6e786665508172eb238f247a65b3857c8313ca1652455fb27fc2f69e6477b48f3899087894be0863ce993a4e34e1a4ba524cdeadaaca54948ae2a9c1
Homepage: https://cran.r-project.org/package=CGHcall
Description: Bioc Package 'CGHcall' (Calling aberrations for array CGH tumor profiles.)
 Calls aberrations for array CGH data using a six state mixture model as well
 as several biological concepts that are ignored by existing algorithms.
 Visualization of profiles is also provided.

Package: r-bioc-chippeakanno
Architecture: all
Version: 3.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 28456
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-iranges, r-bioc-genomicranges, r-bioc-s4vectors, r-bioc-annotationdbi, r-bioc-biocgenerics, r-bioc-biostrings, r-bioc-pwalign, r-cran-dbi, r-cran-dplyr, r-bioc-genomeinfodb, r-bioc-genomicalignments, r-bioc-genomicfeatures, r-bioc-rbgl, r-bioc-rsamtools, r-bioc-summarizedexperiment, r-cran-venndiagram, r-bioc-biomart, r-cran-ggplot2, r-bioc-graph, r-bioc-interactionset, r-bioc-keggrest, r-cran-matrixstats, r-bioc-multtest, r-bioc-regioner, r-bioc-rtracklayer, r-bioc-universalmotif, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-data.table, r-cran-scales, r-bioc-ensembldb
Suggests: r-bioc-annotationhub, r-bioc-bsgenome, r-bioc-limma, r-bioc-reactome.db, r-cran-biocmanager, r-bioc-biocstyle, r-bioc-bsgenome.ecoli.ncbi.20080805, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-org.ce.eg.db, r-bioc-org.hs.eg.db, r-bioc-bsgenome.celegans.ucsc.ce10, r-bioc-bsgenome.drerio.ucsc.danrer7, r-bioc-bsgenome.hsapiens.ucsc.hg38, r-bioc-delayedarray, r-cran-idr, r-cran-seqinr, r-bioc-ensdb.hsapiens.v75, r-bioc-ensdb.hsapiens.v79, r-bioc-ensdb.hsapiens.v86, r-bioc-txdb.hsapiens.ucsc.hg18.knowngene, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-go.db, r-cran-gplots, r-cran-upsetr, r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-testthat, r-bioc-trackviewer, r-bioc-motifstack, r-bioc-organismdbi, r-bioc-biocfilecache
Filename: pool/dists/focal/main/r-bioc-chippeakanno_3.42.0-1.ca2004.1_all.deb
Size: 22809324
MD5sum: 5f7ae25214b1804594558d5e04050056
SHA1: 77697e6230e87a5aeb5fd11e7370f5d1383a91a4
SHA256: 0af3628443fb0a7c1ee75907b3efa732ada79db4285a6b59b8554789f245813d
SHA512: b137f0d9e8135538af8d2e72aae5c7f4d9cfabaff3a602e9e514f2b80c5c35d0b184c70a0a7a3c65b528fc545aed0e4dcb95b06414cea210cd4bda7e149b0e07
Homepage: https://cran.r-project.org/package=ChIPpeakAnno
Description: Bioc Package 'ChIPpeakAnno' (Batch annotation of the peaks identified from either ChIP-seq,ChIP-chip experiments, or any experiments that result in largenumber of genomic interval data)
 The package encompasses a range of functions for identifying the closest
 gene, exon, miRNA, or custom features—such as highly conserved elements and
 user-supplied transcription factor binding sites. Additionally, users can
 retrieve sequences around the peaks and obtain enriched Gene Ontology (GO)
 or Pathway terms. In version 2.0.5 and beyond, new functionalities have been
 introduced. These include features for identifying peaks associated with
 bi-directional promoters along with summary statistics (peaksNearBDP),
 summarizing motif occurrences in peaks (summarizePatternInPeaks), and
 associating additional identifiers with annotated peaks or enrichedGO
 (addGeneIDs). The package integrates with various other packages such as
 biomaRt, IRanges, Biostrings, BSgenome, GO.db, multtest, and stat to enhance
 its analytical capabilities.

Package: r-bioc-chipseeker
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8076
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-cran-aplot, r-bioc-biocgenerics, r-cran-boot, r-cran-dplyr, r-bioc-enrichplot, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-genomicfeatures, r-cran-ggplot2, r-cran-gplots, r-cran-gtools, r-cran-magrittr, r-cran-plotrix, r-cran-rcolorbrewer, r-cran-rlang, r-bioc-rtracklayer, r-bioc-s4vectors, r-cran-scales, r-cran-tibble, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-yulab.utils
Suggests: r-bioc-clusterprofiler, r-cran-ggimage, r-cran-ggplotify, r-cran-ggupset, r-cran-ggvenndiagram, r-cran-knitr, r-bioc-org.hs.eg.db, r-cran-prettydoc, r-bioc-reactomepa, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-chipseeker_1.44.0-1.ca2004.1_all.deb
Size: 7475308
MD5sum: 06a697de32a97d6e2282c330b6c37aca
SHA1: 774bea0ef99459c3068837c618af0ddb39992320
SHA256: 4ce094bce3fe8806757dbf245f03b820c63b26d3600c104ed236cb71fb1e7381
SHA512: 6d87cc22627135aaf4c2a938c2ab293f3f99cdb1b31fa9a621d11999efc27849519b4a60ec6f93aa96139b27230013dba4001a2e77e841c87dc81c4d86a589ca
Homepage: https://cran.r-project.org/package=ChIPseeker
Description: Bioc Package 'ChIPseeker' (ChIPseeker for ChIP peak Annotation, Comparison, andVisualization)
 This package implements functions to retrieve the nearest genes around the
 peak, annotate genomic region of the peak, statstical methods for estimate
 the significance of overlap among ChIP peak data sets, and incorporate GEO
 database for user to compare the own dataset with those deposited in
 database. The comparison can be used to infer cooperative regulation and
 thus can be used to generate hypotheses. Several visualization functions are
 implemented to summarize the coverage of the peak experiment, average
 profile and heatmap of peaks binding to TSS regions, genomic annotation,
 distance to TSS, and overlap of peaks or genes.

Package: r-bioc-clusterprofiler
Architecture: all
Version: 4.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1412
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-dose, r-cran-dplyr, r-bioc-enrichplot, r-bioc-go.db, r-bioc-gosemsim, r-cran-gson, r-cran-httr, r-cran-igraph, r-cran-magrittr, r-cran-plyr, r-bioc-qvalue, r-cran-rlang, r-cran-tidyr, r-cran-yulab.utils
Suggests: r-bioc-annotationhub, r-cran-knitr, r-cran-jsonlite, r-cran-readr, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-prettydoc, r-cran-biocmanager, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-clusterprofiler_4.16.0-1.ca2004.1_all.deb
Size: 974052
MD5sum: f7173e67b2514b590d8c8e1a0cad2f2f
SHA1: b5082450f1244066b357708c3c2436770bd45a41
SHA256: d0b5c3c9c5885d3b68162149060bd2d8731e116260b3738498198dfd58c56581
SHA512: 6dc678110cd98fd8bb8288458c7c409dfc36d4c1059191687fc846c06ddd7c50532f2a590636d2a78a11ff58cb090f5091e3d06b1d675c241c92d7fb282b9156
Homepage: https://cran.r-project.org/package=clusterProfiler
Description: Bioc Package 'clusterProfiler' (A universal enrichment tool for interpreting omics data)
 This package supports functional characteristics of both coding and
 non-coding genomics data for thousands of species with up-to-date gene
 annotation. It provides a univeral interface for gene functional annotation
 from a variety of sources and thus can be applied in diverse scenarios. It
 provides a tidy interface to access, manipulate, and visualize enrichment
 results to help users achieve efficient data interpretation. Datasets
 obtained from multiple treatments and time points can be analyzed and
 compared in a single run, easily revealing functional consensus and
 differences among distinct conditions.

Package: r-bioc-complexheatmap
Architecture: all
Version: 2.24.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3530
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-circlize, r-cran-getoptlong, r-cran-colorspace, r-cran-clue, r-cran-rcolorbrewer, r-cran-globaloptions, r-cran-png, r-cran-digest, r-bioc-iranges, r-cran-matrixstats, r-cran-foreach, r-cran-doparallel, r-cran-codetools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-dendsort, r-cran-jpeg, r-cran-tiff, r-cran-fastcluster, r-bioc-enrichedheatmap, r-cran-dendextend, r-cran-grimport, r-cran-grimport2, r-cran-glue, r-bioc-genomicranges, r-cran-gridtext, r-cran-pheatmap, r-cran-gridgraphics, r-cran-gplots, r-cran-rmarkdown, r-cran-cairo, r-cran-magick
Filename: pool/dists/focal/main/r-bioc-complexheatmap_2.24.1-1.ca2004.1_all.deb
Size: 3014284
MD5sum: 7df89b472e5a844a4f6f98981feadc78
SHA1: fffdacdcdb4f91f157558fd083e0531f371d78d7
SHA256: 79bae7203f7a92526013308d6e796bab51bf0f2e3e03c374af513d47dbdcaa1a
SHA512: fbc5ffdc8a95262e6b3214c84099470932a3ea75d5a8909246c66cc6c6d55ddff6ce90c3cede625f53ccd8d87e9e7a3f4dc020c14578e74a7695834d5942367a
Homepage: https://cran.r-project.org/package=ComplexHeatmap
Description: Bioc Package 'ComplexHeatmap' (Make Complex Heatmaps)
 Complex heatmaps are efficient to visualize associations between different
 sources of data sets and reveal potential patterns. Here the ComplexHeatmap
 package provides a highly flexible way to arrange multiple heatmaps and
 supports various annotation graphics.

Package: r-bioc-consensusclusterplus
Architecture: all
Version: 1.72.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-all, r-cran-cluster
Filename: pool/dists/focal/main/r-bioc-consensusclusterplus_1.72.0-1.ca2004.1_all.deb
Size: 447384
MD5sum: 53c6cb1bda6ec7a1615c1eeb9b88d744
SHA1: 22da37423130c70f1c37006d79df50de95a53524
SHA256: 8ec78e6f25671a406f10c5cd2e8fbae1a1b18dbcc2153864be39d1bd0c4a6c17
SHA512: 05c758b602d1d8ed71e93ec0f2c10c53efcadb54e35c6aeeaa0a081cd5d653c0b4508fc6876180960dc6ec2697410293c988f6eb69c56e2317b99ec3c542971f
Homepage: https://cran.r-project.org/package=ConsensusClusterPlus
Description: Bioc Package 'ConsensusClusterPlus' (ConsensusClusterPlus)
 algorithm for determining cluster count and membership by stability evidence
 in unsupervised analysis

Package: r-bioc-copynumber
Architecture: all
Version: 1.38.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2015
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges
Filename: pool/dists/focal/main/r-bioc-copynumber_1.38.0-1.ca2004.1_all.deb
Size: 1882628
MD5sum: 21fb45d398a6883bac507c0379764212
SHA1: 5362250b96724817dae004908fb55ddd795dc18e
SHA256: 175d2fafb3318d09deb48ca02b918e1ebb77735765487d745a7cd06a3f5d544a
SHA512: 19e6ca56eccbb1a395616b0e34189933560f699d253061568c50abf68d91b108a2562ee3ddb781fdd4a41653e699bbed35503cf44abfdac6532e77bf059dacd7
Homepage: https://cran.r-project.org/package=copynumber
Description: Bioc Package 'copynumber' (Segmentation of single- and multi-track copy number data bypenalized least squares regression.)
 Penalized least squares regression is applied to fit piecewise constant
 curves to copy number data to locate genomic regions of constant copy
 number. Procedures are available for individual segmentation of each sample,
 joint segmentation of several samples and joint segmentation of the two data
 tracks from SNP-arrays. Several plotting functions are available for
 visualization of the data and the segmentation results.

Package: r-bioc-cordon
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3906
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-biobase, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-ggplot2, r-cran-data.table
Suggests: r-bioc-biocstyle, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-cordon_1.26.0-1.ca2004.1_all.deb
Size: 2675020
MD5sum: fbde94c9685814c30183ef7c52a06a68
SHA1: 29850900e9376b4616d26a6fa642561811e915dc
SHA256: 5cc3b91fb80a0e7112860d7972428fd9eb72579b1dcd0c44fc62f1311ebf6e18
SHA512: da2976d5e007c300494887faaea11e3c261b759bcdf1c920813eddf9b075efa923f73719bdd80d14663fb8c0d8cef6138df82645ecb248dcddeeaf20f4460100
Homepage: https://cran.r-project.org/package=coRdon
Description: Bioc Package 'coRdon' (Codon Usage Analysis and Prediction of Gene Expressivity)
 Tool for analysis of codon usage in various unannotated or KEGG/COG
 annotated DNA sequences. Calculates different measures of CU bias and
 CU-based predictors of gene expressivity, and performs gene set enrichment
 analysis for annotated sequences. Implements several methods for
 visualization of CU and enrichment analysis results.

Package: r-bioc-coregx
Architecture: all
Version: 2.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3926
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-summarizedexperiment, r-bioc-biobase, r-bioc-s4vectors, r-bioc-multiassayexperiment, r-bioc-matrixgenerics, r-bioc-piano, r-bioc-biocparallel, r-bioc-bumpymatrix, r-cran-checkmate, r-cran-lsa, r-cran-data.table, r-cran-crayon, r-cran-glue, r-cran-rlang, r-cran-bench
Suggests: r-cran-pander, r-cran-markdown, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-knitr, r-cran-formatr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-coregx_2.12.0-1.ca2004.1_all.deb
Size: 2262184
MD5sum: deef2a81eec3015557689b34f25fcf7f
SHA1: bd84e212310fb6e2381ba13c161a13a29413d6d3
SHA256: 9a2d47b8f4283ea0b92ebcf5d65f21853546cc89443bff5031f29c567441c82a
SHA512: 63fd953d3dc0a950a00933575fbef825f6644bf65bc5eb1c571cf483b953f404984b9dfc78a0e9a6a5f21fcd5fb339a67d5b0f6e8ab102cc5211e7eceefa5bb8
Homepage: https://cran.r-project.org/package=CoreGx
Description: Bioc Package 'CoreGx' (Classes and Functions to Serve as the Basis for Other 'Gx'Packages)
 A collection of functions and classes which serve as the foundation for our
 lab's suite of R packages, such as 'PharmacoGx' and 'RadioGx'. This package
 was created to abstract shared functionality from other lab package releases
 to increase ease of maintainability and reduce code repetition in current
 and future 'Gx' suite programs. Major features include a 'CoreSet' class,
 from which 'RadioSet' and 'PharmacoSet' are derived, along with get and set
 methods for each respective slot. Additional functions related to fitting
 and plotting dose response curves, quantifying statistical correlation and
 calculating area under the curve (AUC) or survival fraction (SF) are
 included. For more details please see the included documentation, as well
 as: Smirnov, P., Safikhani, Z., El-Hachem, N., Wang, D., She, A., Olsen, C.,
 Freeman, M., Selby, H., Gendoo, D., Grossman, P., Beck, A., Aerts, H.,
 Lupien, M., Goldenberg, A. (2015) <doi:10.1093/bioinformatics/btv723>.
 Manem, V., Labie, M., Smirnov, P., Kofia, V., Freeman, M., Koritzinksy, M.,
 Abazeed, M., Haibe-Kains, B., Bratman, S. (2018) <doi:10.1101/449793>.

Package: r-bioc-correp
Architecture: all
Version: 1.68.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-e1071
Suggests: r-cran-cluster, r-cran-mass
Filename: pool/dists/focal/main/r-bioc-correp_1.68.0-1.ca2004.1_all.deb
Size: 281272
MD5sum: 5601c4bc0cc72f8fd7faa4a11023ca85
SHA1: 04116308e7962b51fb2853698e81ff6614bf3e9c
SHA256: a19194f613999afba31b7006827630027cd9cd68be12f2324778d1264c6a8f29
SHA512: ed3bd294bae1c3078ddf177e2f85996ba434b9c52f94acd7b5f67c5e3c90a981aadc61a5d0f2ad221f1f35fbef663539e5d20e222797b8b728c701b2989ebeb1
Homepage: https://cran.r-project.org/package=CORREP
Description: Bioc Package 'CORREP' (Multivariate Correlation Estimator and Statistical InferenceProcedures.)
 Multivariate correlation estimation and statistical inference. See package
 vignette.

Package: r-bioc-cqn
Architecture: all
Version: 1.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1090
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mclust, r-cran-nor1mix, r-cran-quantreg
Suggests: r-cran-scales, r-bioc-edger
Filename: pool/dists/focal/main/r-bioc-cqn_1.54.0-1.ca2004.1_all.deb
Size: 992528
MD5sum: 8213cc54b0126e2048bd4f90a0e40062
SHA1: 609a385c40e35e76b7f1915bd19cba286e5e8684
SHA256: bf11900723a904824c7e15f15c0c628dd771faa3c2825ceaf830fe8fc12cfd56
SHA512: cf7c99158b142a9b7851411e880c02affc9bcb5fe88e6067ae5cfe5c8a3330dd3da2cf5de07e78e34b4136f80f8137e21a2130627e64a13562d9f9842795ec54
Homepage: https://cran.r-project.org/package=cqn
Description: Bioc Package 'cqn' (Conditional quantile normalization)
 A normalization tool for RNA-Seq data, implementing the conditional quantile
 normalization method.

Package: r-bioc-ctc
Architecture: all
Version: 1.82.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-amap
Filename: pool/dists/focal/main/r-bioc-ctc_1.82.0-1.ca2004.1_all.deb
Size: 325068
MD5sum: fe707307b2122120846eb72cbd964f2f
SHA1: 6654b2ae373c9f4998bfc95c414abab76570c14c
SHA256: 77679ecd69995efa7ca49f314f36721396af3b83a7fa12693ac27114cd1738e9
SHA512: cb18895573e77114e84088e9f8394310c96ed56f0c2498c5d84ffb90f1aa8af2a948e9a26417c30af1ffcec65b12242cbcf15183418e57beda92b182fb3891da
Homepage: https://cran.r-project.org/package=ctc
Description: Bioc Package 'ctc' (Cluster and Tree Conversion.)
 Tools for export and import classification trees and clusters to other
 programs

Package: r-bioc-cummerbund
Architecture: all
Version: 2.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9311
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-cran-rsqlite, r-cran-ggplot2, r-cran-reshape2, r-cran-fastcluster, r-bioc-rtracklayer, r-bioc-gviz, r-cran-plyr, r-bioc-s4vectors, r-bioc-biobase
Suggests: r-cran-cluster, r-cran-nmfn, r-cran-stringr, r-bioc-genomicfeatures, r-bioc-genomicranges, r-cran-rjson
Filename: pool/dists/focal/main/r-bioc-cummerbund_2.50.0-1.ca2004.1_all.deb
Size: 2871196
MD5sum: 7fb4c1e8c795fda1deb219215811e547
SHA1: 9ae4bb84508e539035d39f8fbe4f50a4d670ecea
SHA256: c043789465c95ecf262e275b7defe21ac2e3e22bfa18c287e7ea6ff8c2aa88a6
SHA512: af13c781e0800fe85e48290b5e4515ef76b5d1b1b832162c020f1c4e84e70818d7644434cfbf67af0c59585489bae6c16d7f91e5eb098a442c74d5c878d5da08
Homepage: https://cran.r-project.org/package=cummeRbund
Description: Bioc Package 'cummeRbund' (Analysis, exploration, manipulation, and visualization ofCufflinks high-throughput sequencing data.)
 Allows for persistent storage, access, exploration, and manipulation of
 Cufflinks high-throughput sequencing data.  In addition, provides numerous
 plotting functions for commonly used visualizations.

Package: r-bioc-decontam
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1348
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-phyloseq
Filename: pool/dists/focal/main/r-bioc-decontam_1.28.0-1.ca2004.1_all.deb
Size: 714140
MD5sum: 14624eada92f97da2d1423f004c0dfc1
SHA1: d5fc59aaaae860c1e1a8bff47021b0e87d021dcf
SHA256: 9b7f8def386a85d3748d406aa085a614245911fb58994381b8866244c08140d0
SHA512: 7d2e2582b98a8b09dc91f637d84b3376a2b52ee71ad1a0cf2ec170a1c070fd8deecf91c56d7346cbc56df914b8594e4dce3dd3c7039ee7e07c0294443c4ebe12
Homepage: https://cran.r-project.org/package=decontam
Description: Bioc Package 'decontam' (Identify Contaminants in Marker-gene and Metagenomics SequencingData)
 Simple statistical identification of contaminating sequence features in
 marker-gene or metagenomics data. Works on any kind of feature derived from
 environmental sequencing data (e.g. ASVs, OTUs, taxonomic groups, MAGs,...).
 Requires DNA quantitation data or sequenced negative control samples.

Package: r-bioc-decoupler
Architecture: all
Version: 2.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9219
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocparallel, r-cran-broom, r-cran-dplyr, r-cran-magrittr, r-cran-matrix, r-cran-parallelly, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-glmnet, r-bioc-gsva, r-bioc-viper, r-bioc-fgsea, r-bioc-aucell, r-bioc-summarizedexperiment, r-cran-rpart, r-cran-ranger, r-bioc-biocstyle, r-cran-covr, r-cran-knitr, r-cran-pkgdown, r-cran-refmanager, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sessioninfo, r-cran-pheatmap, r-cran-testthat, r-bioc-omnipathr, r-cran-seurat, r-cran-ggplot2, r-cran-ggrepel, r-cran-patchwork, r-cran-magick
Filename: pool/dists/focal/main/r-bioc-decoupler_2.14.0-1.ca2004.1_all.deb
Size: 3788160
MD5sum: 9001d7a09eec80960cabf88022259bf1
SHA1: 2b58c82a3a7a54d5126dda692b3a8919003f91da
SHA256: 3fe02deb55f8639eb0cf4a316b3940af17f90b68b2fb0a7e7227ea63d7c1a62e
SHA512: f1bf8bc5dff13339d0d4c2a0e27a9dd1574816b4618406725aaea92ad3a9a9737b04511b2056fb6cdfd041542886132e15ac733546ba53e3d2f9a75900a898c3
Homepage: https://cran.r-project.org/package=decoupleR
Description: Bioc Package 'decoupleR' (decoupleR: Ensemble of computational methods to infer biologicalactivities from omics data)
 Many methods allow us to extract biological activities from omics data using
 information from prior knowledge resources, reducing the dimensionality for
 increased statistical power and better interpretability. Here, we present
 decoupleR, a Bioconductor package containing different statistical methods
 to extract these signatures within a unified framework. decoupleR allows the
 user to flexibly test any method with any resource. It incorporates methods
 that take into account the sign and weight of network interactions.
 decoupleR can be used with any omic, as long as its features can be linked
 to a biological process based on prior knowledge. For example, in
 transcriptomics gene sets regulated by a transcription factor, or in
 phospho-proteomics phosphosites that are targeted by a kinase.

Package: r-bioc-degreport
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-biocgenerics, r-cran-broom, r-cran-circlize, r-bioc-complexheatmap, r-cran-cowplot, r-bioc-consensusclusterplus, r-cran-cluster, r-cran-dendextend, r-bioc-deseq2, r-cran-dplyr, r-bioc-edger, r-cran-ggplot2, r-cran-ggdendro, r-cran-ggrepel, r-cran-knitr, r-cran-logging, r-cran-magrittr, r-cran-psych, r-cran-rcolorbrewer, r-cran-reshape, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-stringi, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-cran-tidyr, r-cran-tibble
Suggests: r-bioc-biocstyle, r-bioc-annotationdbi, r-bioc-limma, r-cran-pheatmap, r-cran-rmarkdown, r-cran-statmod, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-degreport_1.44.0-1.ca2004.1_all.deb
Size: 3223128
MD5sum: 7b09205c5fbce97068fed05c0b084061
SHA1: 0fe12b01d038b551c1f27092cf41f6bb09a5263e
SHA256: b1d4b08f065e8e9a7dbc77ebb9f8ad6777e81608d97ed1be913f23521885a2cb
SHA512: aa09929e113e4cbe49fc0befd1688af3850175f2ddf1ebe3138f35842e647dce187ce6aa45686452a74066c4887d187217109cd4c3db0ebcd857c58ab23f331e
Homepage: https://cran.r-project.org/package=DEGreport
Description: Bioc Package 'DEGreport' (Report of DEG analysis)
 Creation of ready-to-share figures of differential expression analyses of
 count data. It integrates some of the code mentioned in DESeq2 and edgeR
 vignettes, and report a ranked list of genes according to the fold changes
 mean and variability for each selected gene.

Package: r-bioc-delayedmatrixstats
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1393
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-matrixgenerics, r-bioc-delayedarray, r-bioc-sparsematrixstats, r-cran-matrix, r-bioc-s4vectors, r-bioc-iranges, r-bioc-sparsearray
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-microbenchmark, r-cran-profmem, r-bioc-hdf5array, r-cran-matrixstats
Filename: pool/dists/focal/main/r-bioc-delayedmatrixstats_1.30.0-1.ca2004.1_all.deb
Size: 683236
MD5sum: ca33c630f38889a734ecbecd8bf43dde
SHA1: 1f7ed72a70ff2b42f8a23836a52095ee275f0239
SHA256: ac6a8429ffb1b9278fbf29be08a3992a4c78f7963603a445fd21ef1f40a19fd8
SHA512: ae70f6f8c8b5d8d63ae8c5d083f5db90437628707e295fcbc863093d1c90c5cc12d495abe1ff48275b3484ad2bea3c01245e188f3cfb8ababa529221b2071f5a
Homepage: https://cran.r-project.org/package=DelayedMatrixStats
Description: Bioc Package 'DelayedMatrixStats' (Functions that Apply to Rows and Columns of 'DelayedMatrix'Objects)
 A port of the 'matrixStats' API for use with DelayedMatrix objects from the
 'DelayedArray' package. High-performing functions operating on rows and
 columns of DelayedMatrix objects, e.g. col / rowMedians(), col / rowRanks(),
 and col / rowSds(). Functions optimized per data type and for subsetted
 calculations such that both memory usage and processing time is minimized.

Package: r-bioc-dexseq
Architecture: all
Version: 1.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3468
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocparallel, r-bioc-biobase, r-bioc-summarizedexperiment, r-bioc-iranges, r-bioc-genomicranges, r-bioc-deseq2, r-bioc-annotationdbi, r-cran-rcolorbrewer, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-biomart, r-cran-hwriter, r-cran-stringr, r-bioc-rsamtools, r-cran-statmod, r-bioc-geneplotter, r-bioc-genefilter
Suggests: r-bioc-genomicfeatures, r-bioc-txdbmaker, r-bioc-pasilla, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-pasillabamsubset, r-bioc-genomicalignments, r-cran-roxygen2, r-bioc-glmgampoi
Filename: pool/dists/focal/main/r-bioc-dexseq_1.54.0-1.ca2004.1_all.deb
Size: 2024780
MD5sum: 4a0dd43a303b4c1d789ebcb1a4720ead
SHA1: b7b227ff2640160be86eac9d7ad15fce72bb7341
SHA256: 823107e83a9332359c81190de296ce84bef22197186731f4f73a262847a1e166
SHA512: 3138e6c36f389de90ba5304a963c382ee7215c6d32dd5be5b9a5239345653d729a9e5ec5b1e86820544646333d7ea9acf89534d37f1b2126e736efc2b7e6f3d0
Homepage: https://cran.r-project.org/package=DEXSeq
Description: Bioc Package 'DEXSeq' (Inference of differential exon usage in RNA-Seq)
 The package is focused on finding differential exon usage using RNA-seq exon
 counts between samples with different experimental designs. It provides
 functions that allows the user to make the necessary statistical tests based
 on a model that uses the negative binomial distribution to estimate the
 variance between biological replicates and generalized linear models for
 testing. The package also provides functions for the visualization and
 exploration of the results.

Package: r-bioc-diffcoexp
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-wgcna, r-bioc-summarizedexperiment, r-cran-diffcorr, r-cran-psych, r-cran-igraph, r-bioc-biocgenerics
Suggests: r-bioc-geoquery, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-diffcoexp_1.28.0-1.ca2004.1_all.deb
Size: 326420
MD5sum: 778ca5f40c017dca351adc6ce7caf218
SHA1: 987305eae07f602d0d9d3847eddb52453e9cf726
SHA256: f7755b2cc0b2dbcce1a9446a04cc7c23916c7eededfa39c86d6f4eb9d95d1a5c
SHA512: 8d69d1af94d638493236a38fa346e830830fadfe20e185c75b5fe9fad1999c8d26c3b581e3ef91591ca6b7f1315e90bff28c3ea76afa849c2deb6967aea580f6
Homepage: https://cran.r-project.org/package=diffcoexp
Description: Bioc Package 'diffcoexp' (Differential Co-expression Analysis)
 A tool for the identification of differentially coexpressed links (DCLs) and
 differentially coexpressed genes (DCGs). DCLs are gene pairs with
 significantly different correlation coefficients under two conditions. DCGs
 are genes with significantly more DCLs than by chance.

Package: r-bioc-dir.expiry
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 982
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-filelock
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-dir.expiry_1.16.0-1.ca2004.1_all.deb
Size: 283112
MD5sum: e2d5f934baa42af02c8cc2264fb92e73
SHA1: f9f7fe3e7b80b13bd77e0b1b9b6932b8d017a15c
SHA256: 1c80f21add11c80e4e9436f4df142a9d7fff24d30dbf7aefcac4af29eddc2463
SHA512: 4cc8caa0ef96a257506defdf7b40330ace492bdf1884f786dd9a65a04bd63d7057d848be6455462bb2b478476c39009459fdb8b0c6df294439d2e2408b78527c
Homepage: https://cran.r-project.org/package=dir.expiry
Description: Bioc Package 'dir.expiry' (Managing Expiration for Cache Directories)
 Implements an expiration system for access to versioned directories.
 Directories that have not been accessed by a registered function within a
 certain time frame are deleted. This aims to reduce disk usage by
 eliminating obsolete caches generated by old versions of packages.

Package: r-bioc-dittoseq
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3387
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-colorspace, r-cran-gridextra, r-cran-cowplot, r-cran-reshape2, r-cran-pheatmap, r-cran-ggrepel, r-cran-ggridges, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-bioc-s4vectors
Suggests: r-cran-plotly, r-cran-testthat, r-cran-seurat, r-bioc-deseq2, r-bioc-edger, r-cran-ggplot.multistats, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-scrnaseq, r-cran-ggrastr, r-bioc-complexheatmap, r-bioc-bluster, r-bioc-scater, r-bioc-scran
Filename: pool/dists/focal/main/r-bioc-dittoseq_1.20.0-1.ca2004.1_all.deb
Size: 1910428
MD5sum: 9f1e129c0eaa15b6a35a51cc986d7c9a
SHA1: 4f95b035db3c75e4038ec313efae93d28c6f4c34
SHA256: 5bece0e5feea64c37ecabf6a3fc3e7eabf86770221f5fd67f772ec35efa54e3c
SHA512: 11c8a07b35a53955b538ea9a2b8d76f01602ad30c923e717f82b4d98821da7ee09e906f4a6a59535823430b070bace606603f440fbce7c3ec9db5bb7621625d9
Homepage: https://cran.r-project.org/package=dittoSeq
Description: Bioc Package 'dittoSeq' (User Friendly Single-Cell and Bulk RNA Sequencing Visualization)
 A universal, user friendly, single-cell and bulk RNA sequencing
 visualization toolkit that allows highly customizable creation of color
 blindness friendly, publication-quality figures. dittoSeq accepts both
 SingleCellExperiment (SCE) and Seurat objects, as well as the import and
 usage, via conversion to an SCE, of SummarizedExperiment or DGEList bulk
 data. Visualizations include dimensionality reduction plots, heatmaps,
 scatterplots, percent composition or expression across groups, and more.
 Customizations range from size and title adjustments to automatic generation
 of annotations for heatmaps, overlay of trajectory analysis onto any
 dimensionality reduciton plot, hidden data overlay upon cursor hovering via
 ggplotly conversion, and many more. All with simple, discrete inputs. Color
 blindness friendliness is powered by legend adjustments (enlarged keys), and
 by allowing the use of shapes or letter-overlay in addition to the carefully
 selected dittoColors().

Package: r-bioc-dmrcate
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationhub, r-bioc-experimenthub, r-bioc-bsseq, r-bioc-genomeinfodb, r-bioc-limma, r-bioc-edger, r-bioc-minfi, r-bioc-missmethyl, r-bioc-genomicranges, r-cran-plyr, r-bioc-gviz, r-bioc-iranges, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-biomart
Suggests: r-cran-knitr, r-cran-runit, r-bioc-biocgenerics, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19, r-bioc-illuminahumanmethylationepicv2anno.20a1.hg38, r-bioc-flowsorted.blood.epic, r-bioc-tissuetreg, r-bioc-dmrcatedata, r-bioc-epicv2manifest
Filename: pool/dists/focal/main/r-bioc-dmrcate_3.4.0-1.ca2004.1_all.deb
Size: 1039188
MD5sum: 95ddd6ce55f0c4a84cd1d344ca62f8b2
SHA1: 98e318db10f46669c23b231ca82ae018d87a5b28
SHA256: 001d28dfa0bd6963393cb89aae312583c62929bd710b0797cb887a5ef6b9cfa6
SHA512: 18eafb8441d6fb5768633d2931740f33b72eb92d5ab40e372922d31904ad8a45c964888c010844997673664415b04d9d0d98bdd5b26c0350948480f03382300d
Homepage: https://cran.r-project.org/package=DMRcate
Description: Bioc Package 'DMRcate' (Methylation array and sequencing spatial analysis methods)
 De novo identification and extraction of differentially methylated regions
 (DMRs) from the human genome using Whole Genome Bisulfite Sequencing (WGBS)
 and Illumina Infinium Array (450K and EPIC) data. Provides functionality for
 filtering probes possibly confounded by SNPs and cross-hybridisation.
 Includes GRanges generation and plotting functions.

Package: r-bioc-do.db
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6703
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-bioc-do.db_2.9-1.ca2004.1_all.deb
Size: 1444864
MD5sum: 436d5ddbb26143901e450d8e4f396c66
SHA1: bd9840f54f223794ee6ac429c14da6ac1805dab2
SHA256: 9a2243bb761bca820276e947e0a418c0570b83bd14aaadf4c698ef12d975a552
SHA512: 8ba8f5c9690308c7e9052b913b9e0903fc3af5849e606265113da6cf956cf2fc22ce257e876ff5662af39bcfea80615f1d8797580a2f72574dd5182ada2a4d8a
Homepage: https://cran.r-project.org/package=DO.db
Description: Bioc Package 'DO.db' (A set of annotation maps describing the entire Disease Ontology)
 A set of annotation maps describing the entire Disease Ontology assembled
 using data from DO

Package: r-bioc-dose
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6116
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-biocparallel, r-bioc-fgsea, r-cran-ggplot2, r-bioc-gosemsim, r-bioc-qvalue, r-cran-reshape2, r-cran-yulab.utils
Suggests: r-cran-prettydoc, r-bioc-clusterprofiler, r-cran-gson, r-cran-knitr, r-cran-memoise, r-bioc-org.hs.eg.db, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-dose_4.2.0-1.ca2004.1_all.deb
Size: 6100816
MD5sum: 843a4f880b54df4e5f1de0d018e48c8b
SHA1: 101a0305146ae283f3ab6db67bb8b8703d1ae7c2
SHA256: 5d07fbc49c6dbcf42a347cefabade3861cca4d9ce3df89a74171bd53fd991322
SHA512: b648ce58509edacb8c710cf310f38d0f643379427c0721f7a54102dbbb21622ce86a18b4c2baa0b44f5d2e5740bbf2488ab5d656fd2127e6a1710be95b5139de
Homepage: https://cran.r-project.org/package=DOSE
Description: Bioc Package 'DOSE' (Disease Ontology Semantic and Enrichment analysis)
 This package implements five methods proposed by Resnik, Schlicker, Jiang,
 Lin and Wang respectively for measuring semantic similarities among DO terms
 and gene products. Enrichment analyses including hypergeometric model and
 gene set enrichment analysis are also implemented for discovering disease
 associations of high-throughput biological data.

Package: r-bioc-drimseq
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1033
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-biocparallel, r-bioc-limma, r-bioc-edger, r-cran-ggplot2, r-cran-reshape2
Suggests: r-bioc-pasillatranscriptexpr, r-bioc-geuvadistranscriptexpr, r-bioc-biocstyle, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-drimseq_1.36.0-1.ca2004.1_all.deb
Size: 794344
MD5sum: 69bee3c2e24a3050e54f66d4775beff1
SHA1: d6298ee6679a0b9332c465a61a6f573da117fe92
SHA256: 1bf6c03439fcd76797fec4fed734ac5f60a4d119d1116243126bbab206deee4d
SHA512: c327702264e0941661b7b11550a15a9035c2039ff1643280d2682cccf70e484b6e9fcfe2bcef34d6b027944c03fee62fb575e22ae2d2d6638b289aa1a78d2758
Homepage: https://cran.r-project.org/package=DRIMSeq
Description: Bioc Package 'DRIMSeq' (Differential transcript usage and tuQTL analyses withDirichlet-multinomial model in RNA-seq)
 The package provides two frameworks. One for the differential transcript
 usage analysis between different conditions and one for the tuQTL analysis.
 Both are based on modeling the counts of genomic features (i.e.,
 transcripts) with the Dirichlet-multinomial distribution. The package also
 makes available functions for visualization and exploration of the data and
 results.

Package: r-bioc-dupradar
Architecture: all
Version: 1.38.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6739
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-rsubread, r-cran-kernsmooth
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-annotationhub
Filename: pool/dists/focal/main/r-bioc-dupradar_1.38.0-1.ca2004.1_all.deb
Size: 5307364
MD5sum: 8c040faadb288b62c6c70eed3d6b4e3a
SHA1: a3d9cc799fe2354c8b15a046ddea756f8d8f6d9c
SHA256: 5e324bd38ee68590527b8194b282479e242744c739e7626cce5c24c53d91cf47
SHA512: 1dd43ba2b7f3165659879deb48bcb9601cca78ef72e6c1050bdcde051f9ed3d97e8c767cb9baf9aaef587aa5e456aca1c4925d5efafb973805e3f7ecec0e5f6c
Homepage: https://cran.r-project.org/package=dupRadar
Description: Bioc Package 'dupRadar' (Assessment of duplication rates in RNA-Seq datasets)
 Duplication rate quality control for RNA-Seq datasets.

Package: r-bioc-dyndoc
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-bioc-dyndoc_1.86.0-1.ca2004.1_all.deb
Size: 224124
MD5sum: 43d5793fa992a9df143b57f9197863c6
SHA1: d9d8f3fe78debcd4675792ae1eeebfb59b9ff5be
SHA256: f3b9aa427caec1a6e043782186c2112b81c27d2ae963404376566fdb0231fc29
SHA512: b384fafa9e9fe933f87d3375dbbf25f18bd895458a6aa4de8369bf22c4dabbf36c4c406b7a93aabf7035593aa7f4bb7c51c0f270288f5571a5680d9ede0cc106
Homepage: https://cran.r-project.org/package=DynDoc
Description: Bioc Package 'DynDoc' (Dynamic document tools)
 A set of functions to create and interact with dynamic documents and
 vignettes.

Package: r-bioc-edaseq
Architecture: all
Version: 2.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2302
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-shortread, r-bioc-biocgenerics, r-bioc-iranges, r-bioc-aroma.light, r-bioc-rsamtools, r-bioc-biomart, r-bioc-biostrings, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-bioc-genomicranges, r-cran-biocmanager
Suggests: r-bioc-biocstyle, r-cran-knitr, r-bioc-yeastrnaseq, r-bioc-leebamviews, r-bioc-edger, r-cran-kernsmooth, r-cran-testthat, r-bioc-deseq2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-edaseq_2.42.0-1.ca2004.1_all.deb
Size: 1394880
MD5sum: c561d0d5b026f68aaeed0d1943dcf1c8
SHA1: e3fb80d7f19a34573f68a2c3e5890d46c29cc2f8
SHA256: 4c0321a7d45e31929355f344749ef0647e3470fa079b8fc660b68bdc87ab2524
SHA512: 28fcb8c477659dd0d4b0fe6b7a4b6e7e91c0817177124929188b9637a52afa2ebda145837cc32329e2eb25aa10363e92622fa3062bd1b89a100dca312ba70388
Homepage: https://cran.r-project.org/package=EDASeq
Description: Bioc Package 'EDASeq' (Exploratory Data Analysis and Normalization for RNA-Seq)
 Numerical and graphical summaries of RNA-Seq read data. Within-lane
 normalization procedures to adjust for GC-content effect (or other
 gene-level effects) on read counts: loess robust local regression,
 global-scaling, and full-quantile normalization (Risso et al., 2011).
 Between-lane normalization procedures to adjust for distributional
 differences between lanes (e.g., sequencing depth): global-scaling and
 full-quantile normalization (Bullard et al., 2010).

Package: r-bioc-empiricalbrownsmethod
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-biocstyle, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-empiricalbrownsmethod_1.36.0-1.ca2004.1_all.deb
Size: 52596
MD5sum: 5b07431d28454a21f00ebde9a8ee3270
SHA1: bbf5c3260c8ac90577d2603c5bc13e06dc389143
SHA256: 9c786d23fbb1b581f4ca48e7ae9045065c0c0ef61bf95131c157ab6189f2f2fc
SHA512: fba720c649de85f75b853fb2448bcdfdecff5fd9f078f6adc8b3bf51fbf464807f4d7661e09c53e9fe672d5ac0ca58ad173f89c14571b138b3125ab191afc5d8
Homepage: https://cran.r-project.org/package=EmpiricalBrownsMethod
Description: Bioc Package 'EmpiricalBrownsMethod' (Uses Brown's method to combine p-values from dependent tests)
 Combining P-values from multiple statistical tests is common in
 bioinformatics. However, this procedure is non-trivial for dependent
 P-values. This package implements an empirical adaptation of Brown’s Method
 (an extension of Fisher’s Method) for combining dependent P-values which is
 appropriate for highly correlated data sets found in high-throughput
 biological experiments.

Package: r-bioc-enhancedvolcano
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8162
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-ggalt, r-cran-ggrastr, r-cran-runit, r-bioc-biocgenerics, r-cran-knitr, r-bioc-deseq2, r-bioc-pasilla, r-bioc-airway, r-bioc-org.hs.eg.db, r-cran-gridextra, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-enhancedvolcano_1.26.0-1.ca2004.1_all.deb
Size: 5811464
MD5sum: d7380cbd7cb7d070c06d56f509d3247a
SHA1: 4acc6567bc4240e3ba876b97aa21fc859e6ca881
SHA256: 10db2f0c910a2a9b8af858fdcdd2b7f5e03a130cffdab8e7bfb6c95a9e54e1ac
SHA512: 87727cdd6b34c941af8926ae0546cb477d7cf0ae081cea92288766a7e30036152e38df8c065ea7eb2e3ec8f8d643a25cd4d350bd657c9cc86201962ad1ab4593
Homepage: https://cran.r-project.org/package=EnhancedVolcano
Description: Bioc Package 'EnhancedVolcano' (Publication-ready volcano plots with enhanced colouring andlabeling)
 Volcano plots represent a useful way to visualise the results of
 differential expression analyses. Here, we present a highly-configurable
 function that produces publication-ready volcano plots. EnhancedVolcano will
 attempt to fit as many point labels in the plot window as possible, thus
 avoiding 'clogging' up the plot with labels that could not otherwise have
 been read. Other functionality allows the user to identify up to 4 different
 types of attributes in the same plot space via colour, shape, size, and
 shade parameter configurations.

Package: r-bioc-enrichplot
Architecture: all
Version: 1.28.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-aplot, r-bioc-dose, r-cran-ggfun, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggtangle, r-cran-igraph, r-cran-plyr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rlang, r-cran-scatterpie, r-bioc-gosemsim, r-cran-magrittr, r-bioc-ggtree, r-cran-yulab.utils
Suggests: r-bioc-clusterprofiler, r-cran-dplyr, r-cran-europepmc, r-cran-ggarchery, r-cran-ggupset, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-prettydoc, r-cran-tibble, r-cran-tidyr, r-cran-ggforce, r-cran-gghoriplot, r-bioc-annotationdbi, r-cran-ggplotify, r-cran-ggridges, r-cran-gridextra, r-cran-ggstar, r-cran-scales, r-bioc-ggtreeextra, r-cran-tidydr
Filename: pool/dists/focal/main/r-bioc-enrichplot_1.28.1-1.ca2004.1_all.deb
Size: 306344
MD5sum: 7a8ab394d047ae9c8a4603196e8d9f20
SHA1: 762b64b34b7c72785652215f2727419838b10103
SHA256: 9d89d2adf44575e44235b0ea63fa196777c32c3a65e9c8df88a2798408a56386
SHA512: 29e593b828d9ebecfa585fd8af548eb52857592dd422ef94c6654a911c486d1305a3c1bfd27d700e03a6042d26fd32505f3c0e4aab9604b7b6afa27d83cbd69e
Homepage: https://cran.r-project.org/package=enrichplot
Description: Bioc Package 'enrichplot' (Visualization of Functional Enrichment Result)
 The 'enrichplot' package implements several visualization methods for
 interpreting functional enrichment results obtained from ORA or GSEA
 analysis. It is mainly designed to work with the 'clusterProfiler' package
 suite. All the visualization methods are developed based on 'ggplot2'
 graphics.

Package: r-bioc-ensdb.hsapiens.v75
Architecture: all
Version: 2.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352493
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-ensembldb
Filename: pool/dists/focal/main/r-bioc-ensdb.hsapiens.v75_2.99.0-1.ca2004.1_all.deb
Size: 48924368
MD5sum: 9cec2a92ce265f8e623f17c67ed199c5
SHA1: 1b85f985b8738d89950da032a741591d346a996c
SHA256: e074af0f212a28e443017f01165afcdde528d5c09ab47705cb2ef3a7d7ebbe3e
SHA512: cddb4c5cdd76e00df27091a862d30a91000f0bfe6b8a6bdbe7c78f1617c0ce40b331635b3571fb01a57d6de81d0e70e1fb0d748b7761a398c607f5fec84dcc0d
Homepage: https://cran.r-project.org/package=EnsDb.Hsapiens.v75
Description: Bioc Package 'EnsDb.Hsapiens.v75' (Ensembl based annotation package)
 Exposes an annotation databases generated from Ensembl.

Package: r-bioc-ensdb.hsapiens.v79
Architecture: all
Version: 2.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330564
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-ensembldb
Filename: pool/dists/focal/main/r-bioc-ensdb.hsapiens.v79_2.99.0-1.ca2004.1_all.deb
Size: 47011492
MD5sum: f6639765093c664cc08f9694f04e70d2
SHA1: 8cea0279d03bcf208cd08b861a1090b9e8271a20
SHA256: a0f78bb490d816271664071f78d9b2ae1366e71e088b6ce647f3106d2262f657
SHA512: e140d2db0ba20c003a8d1c1e556f2d6838ec6d7fb7344a26bc7ba96f941afa32dc9b9bd0b1b3320a18d2afbc9648a2f9d0bb5a7ebc6e53b5bb1b675f6950c7f1
Homepage: https://cran.r-project.org/package=EnsDb.Hsapiens.v79
Description: Bioc Package 'EnsDb.Hsapiens.v79' (Ensembl based annotation package)
 Exposes an annotation databases generated from Ensembl.

Package: r-bioc-ensembldb
Architecture: all
Version: 2.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8065
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-genomicfeatures, r-bioc-annotationfilter, r-cran-rsqlite, r-cran-dbi, r-bioc-biobase, r-bioc-genomeinfodb, r-bioc-annotationdbi, r-bioc-rtracklayer, r-bioc-s4vectors, r-bioc-rsamtools, r-bioc-iranges, r-bioc-protgenerics, r-bioc-biostrings, r-cran-curl
Suggests: r-bioc-biocstyle, r-cran-knitr, r-bioc-ensdb.hsapiens.v86, r-cran-testthat, r-bioc-bsgenome.hsapiens.ncbi.grch38, r-bioc-ggbio, r-bioc-gviz, r-cran-rmarkdown, r-bioc-annotationhub
Filename: pool/dists/focal/main/r-bioc-ensembldb_2.32.0-1.ca2004.1_all.deb
Size: 2441064
MD5sum: 80d564509a362963e5e59c859df3cbd9
SHA1: 8d0307060ee6bdb73fdde32b7abfb72d745a1ed7
SHA256: 2c843f5357d7ff0804b1e5d55f625f45dfbde66c60ee4e04e1e8f58068b864eb
SHA512: ad7bfc90012ed2b908a5d0ec6660f8a9203510a6ed184ff9fcc52392292202e8ae4670b9e246b5f945247fe0437abdeb0187b07357ba6eb9f525445f7411e2c9
Homepage: https://cran.r-project.org/package=ensembldb
Description: Bioc Package 'ensembldb' (Utilities to create and use Ensembl-based annotation databases)
 The package provides functions to create and use transcript centric
 annotation databases/packages. The annotation for the databases are directly
 fetched from Ensembl using their Perl API. The functionality and data is
 similar to that of the TxDb packages from the GenomicFeatures package, but,
 in addition to retrieve all gene/transcript models and annotations from the
 database, ensembldb provides a filter framework allowing to retrieve
 annotations for specific entries like genes encoded on a chromosome region
 or transcript models of lincRNA genes. EnsDb databases built with ensembldb
 contain also protein annotations and mappings between proteins and their
 encoding transcripts. Finally, ensembldb provides functions to map between
 genomic, transcript and protein coordinates.

Package: r-bioc-experimenthub
Architecture: all
Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-annotationhub, r-bioc-biocfilecache, r-bioc-s4vectors, r-cran-biocmanager, r-cran-rappdirs
Suggests: r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-bioc-hubpub, r-bioc-genomicalignments
Filename: pool/dists/focal/main/r-bioc-experimenthub_2.16.0-1.ca2004.1_all.deb
Size: 396876
MD5sum: 6cd87c77522c3ee1b41b62200f276e8c
SHA1: b9d36da9cccfe81540984b57d74dc41de6f403fa
SHA256: f3d761611fab2d6c9211ef524224fe51377671158f5200bd3c26506462edb042
SHA512: 4df4560a603b095e23d1cb84373038f6e8c52b4e4fb1b7f9ebfc6305706f86fd76e0f7a6e17800502ac10c4ee5fff9ae78d0bd45331f83a0501c8a75f08f1e51
Homepage: https://cran.r-project.org/package=ExperimentHub
Description: Bioc Package 'ExperimentHub' (Client to access ExperimentHub resources)
 This package provides a client for the Bioconductor ExperimentHub web
 resource. ExperimentHub provides a central location where curated data from
 experiments, publications or training courses can be accessed. Each resource
 has associated metadata, tags and date of modification. The client creates
 and manages a local cache of files retrieved enabling quick and reproducible
 access.

Package: r-bioc-fdb.infiniummethylation.hg19
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90826
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-genomicfeatures, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-org.hs.eg.db, r-bioc-annotationdbi, r-bioc-biostrings
Suggests: r-bioc-fdb.ucsc.snp135common.hg19
Filename: pool/dists/focal/main/r-bioc-fdb.infiniummethylation.hg19_2.2.0-1.ca2004.1_all.deb
Size: 31722684
MD5sum: 8c7858b1af293bc4c69e8c9da5e237b1
SHA1: 2f5a489e1ade4cc5dad54145005a27bb24c75d4f
SHA256: 1f93f029a47fa3a2dd5e7ccbf80b57c41351f92ac0adb505e4aad67a72114bd9
SHA512: 36d893d2655301fec4b1627fb355ae204d0f060dad269e6ba5787df1ae696ece6a1e4cb6ad692c48e3b4b62179196789affaec8ef8e39b9d51d6766b2bae8456
Homepage: https://cran.r-project.org/package=FDb.InfiniumMethylation.hg19
Description: Bioc Package 'FDb.InfiniumMethylation.hg19' (Annotation package for Illumina Infinium DNA methylation probes)
 Compiled HumanMethylation27 and HumanMethylation450 annotations

Package: r-bioc-fishpond
Architecture: all
Version: 2.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6233
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-gtools, r-bioc-qvalue, r-bioc-s4vectors, r-bioc-iranges, r-bioc-summarizedexperiment, r-bioc-genomicranges, r-cran-matrixstats, r-cran-svmisc, r-cran-matrix, r-bioc-singlecellexperiment, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-macrophage, r-bioc-tximeta, r-bioc-org.hs.eg.db, r-cran-samr, r-bioc-deseq2, r-bioc-apeglm, r-bioc-tximportdata, r-bioc-limma, r-bioc-ensembldb, r-bioc-ensdb.hsapiens.v86, r-bioc-genomicfeatures, r-bioc-annotationdbi, r-cran-pheatmap, r-bioc-gviz, r-bioc-genomeinfodb, r-cran-data.table
Filename: pool/dists/focal/main/r-bioc-fishpond_2.14.0-1.ca2004.1_all.deb
Size: 3283192
MD5sum: b5d8299802b1307d56f178fbc2455d3e
SHA1: d9138cdb9dd998bf3b1f511032bf031ef3c16bea
SHA256: f161e7bce74a03a60cb3db9f6714b717b170587ef0bf03063f3fed0830896c9f
SHA512: 7b9da960e915dded2701f908305c4f06df39f66034c6a1e553eaf3a16a929127d0eb72ebf261aeb1a6162382b3c3083c1d73d5b320ed1038389fb694ebc186a6
Homepage: https://cran.r-project.org/package=fishpond
Description: Bioc Package 'fishpond' (Fishpond: downstream methods and tools for expression data)
 Fishpond contains methods for differential transcript and gene expression
 analysis of RNA-seq data using inferential replicates for uncertainty of
 abundance quantification, as generated by Gibbs sampling or bootstrap
 sampling. Also the package contains a number of utilities for working with
 Salmon and Alevin quantification files.

Package: r-bioc-flowviz
Architecture: all
Version: 1.72.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1728
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-flowcore, r-cran-lattice, r-bioc-biobase, r-cran-kernsmooth, r-cran-latticeextra, r-cran-mass, r-cran-rcolorbrewer, r-cran-hexbin, r-cran-idpmisc
Suggests: r-cran-colorspace, r-bioc-flowstats, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-flowviz_1.72.0-1.ca2004.1_all.deb
Size: 1182048
MD5sum: efd2e1f5d963b7ba6833151ffdd0777e
SHA1: 35fd64999401c3947320623acbbd08367c359260
SHA256: c5ce87f162ef1c45654d92ea7b1314265ad4f41ce7dd1b7567a03afb03fb28ca
SHA512: b760d1a34b4a5e7e970da91cc9ce86c81d8c191fa8894376b920b63844033d502974cc28c8d7103df77ef00bb8a34d9febba3a60ca90f1fed5ac820b7418fcc9
Homepage: https://cran.r-project.org/package=flowViz
Description: Bioc Package 'flowViz' (Visualization for flow cytometry)
 Provides visualization tools for flow cytometry data.

Package: r-bioc-gage
Architecture: all
Version: 2.58.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4826
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-graph, r-bioc-keggrest, r-bioc-annotationdbi, r-bioc-go.db
Suggests: r-bioc-pathview, r-bioc-gagedata, r-bioc-org.hs.eg.db, r-bioc-hgu133a.db, r-bioc-gseabase, r-bioc-rsamtools, r-bioc-genomicalignments, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-deseq2, r-bioc-edger, r-bioc-limma
Filename: pool/dists/focal/main/r-bioc-gage_2.58.0-1.ca2004.1_all.deb
Size: 4601288
MD5sum: 19185d0b0c3c1983fd1055ff886cee30
SHA1: 9fa650ab30e514736829581993f9f13a11eb78ff
SHA256: 56a86aff87cc845c3dcb1ab35e471b0870c32a3c82cd6972620aaa52d1cccb62
SHA512: 7be68f9d01d2c57c357c9e35d67f1902e3b8d1d8cd6e59893d1546b5848132a64247c43217ff4af57a09a3ef754bb1e57dda82175b5487419978e040a1cbbafb
Homepage: https://cran.r-project.org/package=gage
Description: Bioc Package 'gage' (Generally Applicable Gene-set Enrichment for Pathway Analysis)
 GAGE is a published method for gene set (enrichment or GSEA) or pathway
 analysis. GAGE is generally applicable independent of microarray or RNA-Seq
 data attributes including sample sizes, experimental designs, assay
 platforms, and other types of heterogeneity, and consistently achieves
 superior performance over other frequently used methods. In gage package, we
 provide functions for basic GAGE analysis, result processing and
 presentation. We have also built pipeline routines for of multiple GAGE
 analyses in a batch, comparison between parallel analyses, and combined
 analysis of heterogeneous data from different sources/studies. In addition,
 we provide demo microarray data and commonly used gene set data based on
 KEGG pathways and GO terms. These funtions and data are also useful for gene
 set analysis using other methods.

Package: r-bioc-gcatest
Architecture: all
Version: 2.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3537
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-lfa
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-testthat, r-cran-bedmatrix, r-cran-genio
Filename: pool/dists/focal/main/r-bioc-gcatest_2.8.0-1.ca2004.1_all.deb
Size: 3473548
MD5sum: 006d9c773e23ed1ca8d799aa697c7d41
SHA1: c3f4adf839ebea2f4643cf4880b28c7187c213dd
SHA256: e591e1696f3e2e7e800f9f639675aff901f3d8d6077ac9e4c687d875fc496d25
SHA512: 413722c09039d2b73a351ff427c6fc18b169e1ae91994d54620568ff0e87e57f752e58337143f8d9b50a9e4af7ca957c3a40f340d18bcc4a9e3b01f7ddaa8929
Homepage: https://cran.r-project.org/package=gcatest
Description: Bioc Package 'gcatest' (Genotype Conditional Association TEST)
 GCAT is an association test for genome wide association studies that
 controls for population structure under a general class of trait models.
 This test conditions on the trait, which makes it immune to confounding by
 unmodeled environmental factors.  Population structure is modeled via
 logistic factors, which are estimated using the `lfa` package.

Package: r-bioc-genbankr
Architecture: all
Version: 1.27.0-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2278
Depends: r-base-core (>= 4.2.3), r-api-4.0, r-bioc-biocgenerics, r-bioc-iranges, r-bioc-genomicranges, r-bioc-genomicfeatures, r-bioc-biostrings, r-bioc-variantannotation, r-bioc-rtracklayer, r-bioc-s4vectors, r-bioc-genomeinfodb, r-bioc-biobase
Suggests: r-cran-runit, r-cran-rentrez, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-genbankr_1.27.0-1.ca2004.2_all.deb
Size: 755904
MD5sum: 0de0daff1c640d01fe57af0b87d7cd99
SHA1: 9f2f83ba6361d6366db01a5b733a3fe4f9a7aef8
SHA256: 2cb8ec598b1546c11bd18544e5b4084838315d8be597d648999ff4c029a5790f
SHA512: e0f03d70718e9a820493a3a501ffd0e1b913275ea29ff703e4be52c8f5e1e3201656d165d9632b5d31abfde1cafc241f3e8ce03ce8e557576aec33b4641c329a
Homepage: https://cran.r-project.org/package=genbankr
Description: Bioc Package 'genbankr' (Parsing GenBank files into semantically useful objects)
 Reads Genbank files.

Package: r-bioc-genefu
Architecture: all
Version: 2.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6427
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-survcomp, r-bioc-biomart, r-cran-ic10, r-bioc-aims, r-cran-amap, r-bioc-impute, r-cran-mclust, r-bioc-limma, r-cran-ic10trainingdata
Suggests: r-bioc-genemeta, r-bioc-breastcancervdx, r-bioc-breastcancermainz, r-bioc-breastcancertransbig, r-bioc-breastcancerupp, r-bioc-breastcancerunt, r-bioc-breastcancernki, r-cran-rmeta, r-bioc-biobase, r-cran-xtable, r-cran-knitr, r-cran-caret, r-cran-survival, r-bioc-biocstyle, r-cran-magick, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-genefu_2.40.0-1.ca2004.1_all.deb
Size: 5354352
MD5sum: 2dda158afbdd344b9a1be35c18fe5d10
SHA1: 2178e063fa25febbe31a5bf690465c2009b7c46f
SHA256: f9e202399f8d43d994f067f6bef149669eb736a78c506bbf2236f82090c67019
SHA512: d0d5aec863de9eae97ec7383dc6c827a02182d514b2e2f3c86c2e320523dfa5d76f8215554186fe04385f4a1e5e038699e05838e6d2328d1c27b17a5fccc9597
Homepage: https://cran.r-project.org/package=genefu
Description: Bioc Package 'genefu' (Computation of Gene Expression-Based Signatures in Breast Cancer)
 This package contains functions implementing various tasks usually required
 by gene expression analysis, especially in breast cancer studies: gene
 mapping between different microarray platforms, identification of molecular
 subtypes, implementation of published gene signatures, gene selection, and
 survival analysis.

Package: r-bioc-genelendatabase
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102186
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-rtracklayer, r-bioc-genomicfeatures, r-bioc-txdbmaker
Filename: pool/dists/focal/main/r-bioc-genelendatabase_1.44.0-1.ca2004.1_all.deb
Size: 100503420
MD5sum: febf884a94f69fde3bb48b980d8e59f9
SHA1: 9891064858801899a5d6e92d69ae0683b7ecfc26
SHA256: bcb753e5f862d22ada935270b1175005ed28e3e16d34e605ffca364dc2e7b3d3
SHA512: 4cad03bc1164265dd79609c3488fea22014809b855cfd3515aaf0000a05f47cd398544f15e1ef2cc22915570f0d8693680ef7d8de2655984c1535723bff70487
Homepage: https://cran.r-project.org/package=geneLenDataBase
Description: Bioc Package 'geneLenDataBase' (Lengths of mRNA transcripts for a number of genomes)
 Length of mRNA transcripts for a number of genomes and gene ID formats,
 largely based on UCSC table browser. Data objects are provided as individual
 pieces of information to be retrieved and loaded. A variety of different
 gene identifiers and genomes is supported to ensure wide applicability.

Package: r-bioc-geneplotter
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2304
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-biocgenerics, r-cran-lattice, r-bioc-annotate, r-bioc-annotationdbi, r-cran-rcolorbrewer
Suggests: r-bioc-rgraphviz, r-bioc-fibroeset, r-bioc-hgu95av2.db, r-bioc-hu6800.db, r-bioc-hgu133a.db, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-geneplotter_1.86.0-1.ca2004.1_all.deb
Size: 1802048
MD5sum: 4048e5fb9a21019b7d9f23afbe923011
SHA1: ba75dafc2659d938aca7fe853c5b0fa137ed5f00
SHA256: 1012dc2412eb24fc7d577be59b75662766448ff9b636cfaf2cb87eb0aa57d5f4
SHA512: e815fb0cf635866254cf0de717076c300aa69475cdfa95ad218d78673ab2a08bbbca4171b6bcf10d9d246729405f61a04a89b856c4f65d3c4f4f3b5301b0704d
Homepage: https://cran.r-project.org/package=geneplotter
Description: Bioc Package 'geneplotter' (Graphics related functions for Bioconductor)
 Functions for plotting genomic data

Package: r-bioc-genomeinfodb
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5670
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-ucsc.utils, r-bioc-genomeinfodbdata
Suggests: r-cran-r.utils, r-cran-data.table, r-bioc-genomicranges, r-bioc-rsamtools, r-bioc-genomicalignments, r-bioc-genomicfeatures, r-bioc-bsgenome, r-bioc-txdb.dmelanogaster.ucsc.dm3.ensgene, r-bioc-bsgenome.scerevisiae.ucsc.saccer2, r-bioc-bsgenome.celegans.ucsc.ce2, r-bioc-bsgenome.hsapiens.ncbi.grch38, r-cran-runit, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-genomeinfodb_1.44.0-1.ca2004.1_all.deb
Size: 4034672
MD5sum: 9fe1c5ab61abd3280be9e75e7a24d97f
SHA1: 7cc26979663e9b92396b2c482ea9fd5baa51a4b9
SHA256: 27553993a4a5305779ea2e50909f1fc2e0532d090c3773fec093ac4b3205f4f0
SHA512: 6bc1be6629aea6f3db50b1b12bd20d8d9aa4b5b11c06f520185326744b8dc3775217de76050d0d3326a38841a036d613188cc6537a90ca1ffbc3c37115da8392
Homepage: https://cran.r-project.org/package=GenomeInfoDb
Description: Bioc Package 'GenomeInfoDb' (Utilities for manipulating chromosome names, including modifyingthem to follow a particular naming style)
 Contains data and functions that define and allow translation between
 different chromosome sequence naming conventions (e.g., "chr1" versus "1"),
 including a function that attempts to place sequence names in their natural,
 rather than lexicographic, order.

Package: r-bioc-genomeinfodbdata
Architecture: all
Version: 1.2.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12963
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-bioc-genomeinfodbdata_1.2.14-1.ca2004.1_all.deb
Size: 13242792
MD5sum: 3b87dd8bd1a607ce774695dbe8c0dd5d
SHA1: 65cf551da622c7c9bfc49cf50a2e0c23e3959f22
SHA256: ae94a40b8162b9970dcfc990ef88b129bd15c7e81f10bf1b1dcc4c034e311338
SHA512: e451d9409cdfcdc8bbd7b7b537968fd5947c3068cd7450ff6ae615c37ba178a368d40a25b88b2eeb7e93ac9de8aca9657d7d52d93dc2ca5d36c36f6f53635d4f
Homepage: https://cran.r-project.org/package=GenomeInfoDbData
Description: Bioc Package 'GenomeInfoDbData' (Species and taxonomy ID look up tables used by GenomeInfoDb)
 Files for mapping between NCBI taxonomy ID and species. Used by functions in
 the GenomeInfoDb package.

Package: r-bioc-genomicdatacommons
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5686
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-rlang, r-cran-readr, r-bioc-genomicranges, r-bioc-iranges, r-cran-dplyr, r-cran-rappdirs, r-cran-tibble, r-cran-tidyr
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-dt, r-cran-testthat, r-cran-listviewer, r-cran-ggplot2, r-bioc-genomicalignments, r-bioc-rsamtools, r-bioc-biocparallel, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-variantannotation, r-bioc-maftools, r-cran-r.utils, r-cran-data.table
Filename: pool/dists/focal/main/r-bioc-genomicdatacommons_1.32.0-1.ca2004.1_all.deb
Size: 1614308
MD5sum: 45dc19de0b77daa27fd78adabb331368
SHA1: e944df95cda9377e95f5e8e9ed52b56448df4e28
SHA256: a550c9cbeae5cb44a0aacd5703470b94a7af2beb9264ab2bfe244cb22e9aa91c
SHA512: 57b7cccfa2ad21d2a634a81acb6acd78b65725e36edc0d1e3bd10704219d779f02ade03be70759f75ca166196f9db0fbc44a132117c5f610841f6806a3478e16
Homepage: https://cran.r-project.org/package=GenomicDataCommons
Description: Bioc Package 'GenomicDataCommons' (NIH / NCI Genomic Data Commons Access)
 Programmatically access the NIH / NCI Genomic Data Commons RESTful service.

Package: r-bioc-genomicfeatures
Architecture: all
Version: 1.60.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2299
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-annotationdbi, r-cran-dbi, r-bioc-xvector, r-bioc-biostrings, r-bioc-rtracklayer
Suggests: r-bioc-txdbmaker, r-bioc-org.mm.eg.db, r-bioc-org.hs.eg.db, r-bioc-bsgenome, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-bsgenome.celegans.ucsc.ce11, r-bioc-bsgenome.dmelanogaster.ucsc.dm3, r-bioc-mirbase.db, r-bioc-fdb.ucsc.trnas, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.celegans.ucsc.ce11.ensgene, r-bioc-txdb.dmelanogaster.ucsc.dm3.ensgene, r-bioc-txdb.mmusculus.ucsc.mm10.knowngene, r-bioc-txdb.hsapiens.ucsc.hg19.lincrnastranscripts, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-snplocs.hsapiens.dbsnp144.grch38, r-bioc-rsamtools, r-bioc-pasillabamsubset, r-bioc-genomicalignments, r-bioc-ensembldb, r-bioc-annotationfilter, r-cran-runit, r-bioc-biocstyle, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-genomicfeatures_1.60.0-1.ca2004.1_all.deb
Size: 1329172
MD5sum: 6bff7ca6588226b6cffe53274e92294e
SHA1: cb9ee2b7938b4a707a0f34ddc5463f8a9b3a0e68
SHA256: 80c26addd7b680de47a625cade179d5330c15f114e18eb20691b8f56aafc7555
SHA512: 9230aee79a41cc4b7f0c3dfd3d699f5660fbe4fd27468839b78ec78c17361c5ab65630e8e8176dddf0d1970f9f235ed24d4cc6bece20980a453829b229d54180
Homepage: https://cran.r-project.org/package=GenomicFeatures
Description: Bioc Package 'GenomicFeatures' (Query the gene models of a given organism/assembly)
 Extract the genomic locations of genes, transcripts, exons, introns, and
 CDS, for the gene models stored in a TxDb object. A TxDb object is a small
 database that contains the gene models of a given organism/assembly.
 Bioconductor provides a small collection of TxDb objects in the form of
 ready-to-install TxDb packages for the most commonly studied organisms.
 Additionally, the user can easily make a TxDb object (or package) for the
 organism/assembly of their choice by using the tools from the txdbmaker
 package.

Package: r-bioc-genomicfiles
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1694
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-matrixgenerics, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-biocparallel, r-bioc-rsamtools, r-bioc-rtracklayer, r-bioc-genomicalignments, r-bioc-iranges, r-bioc-s4vectors, r-bioc-variantannotation, r-bioc-genomeinfodb
Suggests: r-bioc-biocstyle, r-cran-runit, r-bioc-genefilter, r-bioc-deepsnv, r-bioc-snpstats, r-cran-knitr, r-bioc-rnaseqdata.hnrnpc.bam.chr14, r-bioc-biostrings, r-bioc-homo.sapiens
Filename: pool/dists/focal/main/r-bioc-genomicfiles_1.44.0-1.ca2004.1_all.deb
Size: 915208
MD5sum: a2a22cc64976c88eed20841f75561ed2
SHA1: c1b44a3cdb5eec1b03dbe59f1f2c9eb9ef02205b
SHA256: 120e5980be3972f1af4a2b266e01712ff314831bf0bbd03fd7c833bddea13fa1
SHA512: 655955fc84e3fd501e9844e6f802997cdfcffd61fed5dbf31a17447a47b5e4008078e62f619dde51312d998319a2b2b5a18d9513dc2b1406e398d6ce186dc36b
Homepage: https://cran.r-project.org/package=GenomicFiles
Description: Bioc Package 'GenomicFiles' (Distributed computing by file or by range)
 This package provides infrastructure for parallel computations distributed
 'by file' or 'by range'. User defined MAPPER and REDUCER functions provide
 added flexibility for data combination and manipulation.

Package: r-bioc-genomicinteractions
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9909
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-interactionset, r-bioc-rsamtools, r-bioc-rtracklayer, r-bioc-genomicranges, r-bioc-iranges, r-bioc-biocgenerics, r-cran-data.table, r-cran-stringr, r-bioc-genomeinfodb, r-cran-ggplot2, r-cran-gridextra, r-cran-igraph, r-bioc-s4vectors, r-cran-dplyr, r-bioc-gviz, r-bioc-biobase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-genomicinteractions_1.42.0-1.ca2004.1_all.deb
Size: 3113996
MD5sum: 55e2576a611c22b749070e7171e5f431
SHA1: 0ed6502d693dd72c543061fe197ae3a5cb441580
SHA256: 94c280d8e7dd96737e3a96c96d419eb8de91dedb5ef6ae28ca3ef2ff99b002bd
SHA512: acd228ae7b6323be5476129ee380d9df47fa578ea1df344983e5b9f3f35e2a8d9b252565904230d54ee079b789f6507067d2c155e32b12f2352e6bf5443c4f4d
Homepage: https://cran.r-project.org/package=GenomicInteractions
Description: Bioc Package 'GenomicInteractions' (Utilities for handling genomic interaction data)
 Utilities for handling genomic interaction data such as ChIA-PET or Hi-C,
 annotating genomic features with interaction information, and producing
 plots and summary statistics.

Package: r-bioc-geometadb
Architecture: all
Version: 1.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1160
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.utils, r-cran-rsqlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-dbplyr, r-cran-tm, r-cran-wordcloud
Filename: pool/dists/focal/main/r-bioc-geometadb_1.70.0-1.ca2004.1_all.deb
Size: 521432
MD5sum: 0c6fa9a297dcc3cf2f1fa7be04c170ce
SHA1: 43684886cfc5f6a74b378781196a028d26e349a1
SHA256: da484efd1835d1f471ba81852db6ff4719984e1cc9497102428d7a8066bc56e5
SHA512: 66dcb44fa2a989277e47294f7ff694e9dbab082d8d91dc42db155b786da3c590d1b4856f4c55334cfa3634115b0e405f384a0718fe51621c2f0df7e30cc9c946
Homepage: https://cran.r-project.org/package=GEOmetadb
Description: Bioc Package 'GEOmetadb' (A compilation of metadata from NCBI GEO)
 The NCBI Gene Expression Omnibus (GEO) represents the largest public
 repository of microarray data. However, finding data of interest can be
 challenging using current tools. GEOmetadb is an attempt to make access to
 the metadata associated with samples, platforms, and datasets much more
 feasible. This is accomplished by parsing all the NCBI GEO metadata into a
 SQLite database that can be stored and queried locally. GEOmetadb is simply
 a thin wrapper around the SQLite database along with associated
 documentation. Finally, the SQLite database is updated regularly as new data
 is added to GEO and can be downloaded at will for the most up-to-date
 metadata. GEOmetadb paper:
 http://bioinformatics.oxfordjournals.org/cgi/content/short/24/23/2798 .

Package: r-bioc-geoquery
Architecture: all
Version: 2.76.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 14208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-readr, r-cran-xml2, r-cran-dplyr, r-cran-data.table, r-cran-tidyr, r-cran-magrittr, r-bioc-limma, r-cran-curl, r-cran-rentrez, r-cran-r.utils, r-cran-stringr, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-cran-rvest, r-cran-httr2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocgenerics, r-cran-testthat, r-cran-covr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-geoquery_2.76.0-1.ca2004.1_all.deb
Size: 13939744
MD5sum: ca62fe2373d285f8ed48a314b2d3c969
SHA1: ec744a49eff6294cf03f6f1ef99f27d6afcb5ca9
SHA256: b1e7ecf81c43b5bb8c6fefd8c0394be9a8f26aff2dc0c56577ca2add15f52de5
SHA512: ae44c4e32d4944cc32168e2f99d647f5db007d900a3176312ca7dcfacd6e3c55aff5a2ea008d9915f205d2b0308e44e32369ccf7982a8cefa3e104786460558c
Homepage: https://cran.r-project.org/package=GEOquery
Description: Bioc Package 'GEOquery' (Get data from NCBI Gene Expression Omnibus (GEO))
 The NCBI Gene Expression Omnibus (GEO) is a public repository of microarray
 data.  Given the rich and varied nature of this resource, it is only natural
 to want to apply BioConductor tools to these data.  GEOquery is the bridge
 between GEO and BioConductor.

Package: r-bioc-ggbio
Architecture: all
Version: 1.56.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4230
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-cran-ggplot2, r-cran-gridextra, r-cran-scales, r-cran-reshape2, r-cran-gtable, r-cran-hmisc, r-bioc-biovizbase, r-bioc-biobase, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-genomicalignments, r-bioc-bsgenome, r-bioc-variantannotation, r-bioc-rtracklayer, r-bioc-genomicfeatures, r-bioc-organismdbi, r-cran-ggally, r-bioc-ensembldb, r-bioc-annotationdbi, r-bioc-annotationfilter, r-cran-rlang
Suggests: r-bioc-vsn, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-homo.sapiens, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.mmusculus.ucsc.mm9.knowngene, r-cran-knitr, r-bioc-biocstyle, r-cran-testthat, r-bioc-ensdb.hsapiens.v75, r-cran-tinytex
Filename: pool/dists/focal/main/r-bioc-ggbio_1.56.0-1.ca2004.1_all.deb
Size: 2949712
MD5sum: 65b9b288de3d73edfb4a05b7469341a5
SHA1: 5a1ec2635be56fdcee638101afcce7d7562f58d8
SHA256: 9e598f3c4eba7cdde8716c68a86e335ecfa3e96d19df1d380e09dadcf4e59560
SHA512: 9b9c73e917bc7906f075cc2f5f2ce25545d6c7f0baeac611ad3f344518956705ce4c1df86dd2f92e6a1b1fea6dc56db94bfa9a680c077a778ff657038ca249e4
Homepage: https://cran.r-project.org/package=ggbio
Description: Bioc Package 'ggbio' (Visualization tools for genomic data)
 The ggbio package extends and specializes the grammar of graphics for
 biological data. The graphics are designed to answer common scientific
 questions, in particular those often asked of high throughput genomics data.
 All core Bioconductor data structures are supported, where appropriate. The
 package supports detailed views of particular genomic regions, as well as
 genome-wide overviews. Supported overviews include ideograms and grand
 linear views. High-level plots include sequence fragment length, edge-linked
 interval to data view, mismatch pileup, and several splicing summaries.

Package: r-bioc-ggcyto
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-bioc-flowcore, r-bioc-ncdfflow, r-bioc-flowworkspace, r-cran-plyr, r-cran-scales, r-cran-hexbin, r-cran-data.table, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-rlang
Suggests: r-cran-testthat, r-bioc-flowworkspacedata, r-cran-knitr, r-cran-rmarkdown, r-bioc-flowstats, r-bioc-opencyto, r-bioc-flowviz, r-cran-ggridges, r-cran-vdiffr
Filename: pool/dists/focal/main/r-bioc-ggcyto_1.36.0-1.ca2004.1_all.deb
Size: 3211964
MD5sum: 1a90d162c74a9ebe803db094b296ba7c
SHA1: c814e543a22c993f7cc8f231745bffcd080fbade
SHA256: c916f7ef3d1cf1e811d5137353104dfcaea56ab14d073902ffedf84558a02854
SHA512: ef241e6040f94fb2b05fd199ede5540672679cf0e4ac137e1b90aa5bbcb45056af727f726353871bed246d2bc1583e885c5ed3a483a23063f4a2dba67626b208
Homepage: https://cran.r-project.org/package=ggcyto
Description: Bioc Package 'ggcyto' (Visualize Cytometry data with ggplot)
 With the dedicated fortify method implemented for flowSet, ncdfFlowSet and
 GatingSet classes, both raw and gated flow cytometry data can be plotted
 directly with ggplot. ggcyto wrapper and some customed layers also make it
 easy to add gates and population statistics to the plot.

Package: r-bioc-ggkegg
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5341
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggraph, r-cran-xml, r-cran-igraph, r-cran-tidygraph, r-bioc-biocfilecache, r-cran-data.table, r-cran-dplyr, r-cran-magick, r-cran-patchwork, r-cran-shadowtext, r-cran-stringr, r-cran-tibble, r-cran-gtable
Suggests: r-cran-knitr, r-bioc-clusterprofiler, r-cran-bnlearn, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-annotationdbi, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-ggkegg_1.6.0-1.ca2004.1_all.deb
Size: 3804184
MD5sum: 37810cd977e2a6cc85ee6c84b850b465
SHA1: 6d5448cf07f02377434f02284e36b750aba175a5
SHA256: fc8fa5b568f9287f75c433bdd9ea91c17fc8fae4c0b85dbe788c336d8acb166d
SHA512: 02cb4f56740b6c8df4ccbc27c295cfa0fb9218ee0ad8fc1ec4c8138d9da6d27d281b05d06e97e1dfc6dbcfb79007d32bbdac7520b8293d0544789da6e4d37a37
Homepage: https://cran.r-project.org/package=ggkegg
Description: Bioc Package 'ggkegg' (Analyzing and visualizing KEGG information using the grammar ofgraphics)
 This package aims to import, parse, and analyze KEGG data such as KEGG
 PATHWAY and KEGG MODULE. The package supports visualizing KEGG information
 using ggplot2 and ggraph through using the grammar of graphics. The package
 enables the direct visualization of the results from various omics analysis
 packages.

Package: r-bioc-ggmsa
Architecture: all
Version: 1.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4210
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr, r-cran-aplot, r-cran-rcolorbrewer, r-cran-ggalt, r-cran-ggforce, r-cran-dplyr, r-bioc-r4rna, r-cran-seqmagick, r-cran-statebins, r-bioc-ggtree
Suggests: r-bioc-ggtreeextra, r-cran-ape, r-cran-cowplot, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-readxl, r-cran-ggnewscale, r-cran-kableextra, r-cran-gggenes, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-ggmsa_1.14.0-1.ca2004.1_all.deb
Size: 2461436
MD5sum: 7d6ad7c152e79d842aaf86999548c4a7
SHA1: e9613e04fb1724c5db72821419c55a7f697f0162
SHA256: ed6aa4ff925efd66b8b686fd837dbc84c8113b255e32fc4782181ba560888656
SHA512: 865beb965b762a25f1a4a69f4b96d85dcff7a5efe7759f58310cf8ac5d85c66daff7cb0a7d58b263a4d138f2badb934156abde4203533f1d346d31b456e7cf32
Homepage: https://cran.r-project.org/package=ggmsa
Description: Bioc Package 'ggmsa' (Plot Multiple Sequence Alignment using 'ggplot2')
 A visual exploration tool for multiple sequence alignment and associated
 data. Supports MSA of DNA, RNA, and protein sequences using 'ggplot2'.
 Multiple sequence alignment can easily be combined with other 'ggplot2'
 plots, such as phylogenetic tree Visualized by 'ggtree', boxplot, genome map
 and so on. More features: visualization of sequence logos, sequence bundles,
 RNA secondary structures and detection of sequence recombinations.

Package: r-bioc-ggtree
Architecture: all
Version: 3.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4685
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-aplot, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-ggfun, r-cran-yulab.utils, r-cran-tidyr, r-cran-tidytree, r-bioc-treeio, r-cran-scales, r-cran-cli
Suggests: r-cran-emojifont, r-cran-ggimage, r-cran-ggplotify, r-cran-shadowtext, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-glue
Filename: pool/dists/focal/main/r-bioc-ggtree_3.16.0-1.ca2004.1_all.deb
Size: 837264
MD5sum: 816f4cf371a73a39e75fe31e3c292026
SHA1: fe61137faf6264affc837cea354f9aa88c7abf16
SHA256: 827ee3e09fecea84bcd2596913ce40b4069bf9a21e13c2ca64a4b61fff368dce
SHA512: 33f2f8723dd4decab7599089ef0fb4eb0b75471b8e4ede3f256db96161470c0bf09f30281177aab868acd99e59d87ae8a8753d36c18c3ce90dfd1ba3204e55de
Homepage: https://cran.r-project.org/package=ggtree
Description: Bioc Package 'ggtree' (an R package for visualization of tree and annotation data)
 'ggtree' extends the 'ggplot2' plotting system which implemented the grammar
 of graphics. 'ggtree' is designed for visualization and annotation of
 phylogenetic trees and other tree-like structures with their annotation
 data.

Package: r-bioc-ggtreeextra
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 963
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-ggnewscale, r-bioc-ggtree, r-cran-tidytree, r-cran-cli, r-cran-magrittr
Suggests: r-bioc-treeio, r-cran-ggstar, r-cran-patchwork, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-markdown, r-cran-testthat, r-cran-pillar
Filename: pool/dists/focal/main/r-bioc-ggtreeextra_1.18.0-1.ca2004.1_all.deb
Size: 644892
MD5sum: e29705357c8926fbd10c099a9b62109b
SHA1: 1961c7e9321537fe125606d4529f37160438c823
SHA256: 5f77da03a8ec7644a240ec95a8a1cb669f840dc1f339c3288127ac46e65ef1dc
SHA512: 638fa8a9955a8abae321252ac379d8888abfd94048e01d7c26f687069ec565f252fd7bffc067f669e84cde07f169d46a48b9769fd9c04ad779be8db88d465708
Homepage: https://cran.r-project.org/package=ggtreeExtra
Description: Bioc Package 'ggtreeExtra' (An R Package To Add Geometric Layers On Circular Or Other LayoutTree Of "ggtree")
 'ggtreeExtra' extends the method for mapping and visualizing associated data
 on phylogenetic tree using 'ggtree'. These associated data can be presented
 on the external panels to circular layout, fan layout, or other rectangular
 layout tree built by 'ggtree' with the grammar of 'ggplot2'.

Package: r-bioc-glimma
Architecture: all
Version: 2.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 38812
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-bioc-edger, r-bioc-deseq2, r-bioc-limma, r-bioc-summarizedexperiment, r-cran-jsonlite, r-bioc-s4vectors
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-iranges, r-bioc-genomicranges, r-cran-pryr, r-bioc-annotationhub, r-bioc-scrnaseq, r-bioc-scater, r-bioc-scran
Filename: pool/dists/focal/main/r-bioc-glimma_2.18.0-1.ca2004.1_all.deb
Size: 5612044
MD5sum: 033c9199d919e95799f76093850e3d87
SHA1: ec9d81ff56d1efa9e61b82ca7574170802a1b7eb
SHA256: 379a6fbb030f2056492bf25c1fef72220c4bd1dda6ac4c5c2bd59a60e86b7416
SHA512: ab9d78b12625a7c262b427694267c49da57112b36a24c85f4c07d82f23195ad552a8bab2bef833df7ef58021fd47f6cf73ec2accd27d1bd7cb7f319b3f6d38dd
Homepage: https://cran.r-project.org/package=Glimma
Description: Bioc Package 'Glimma' (Interactive visualizations for gene expression analysis)
 This package produces interactive visualizations for RNA-seq data analysis,
 utilizing output from limma, edgeR, or DESeq2. It produces interactive
 htmlwidgets versions of popular RNA-seq analysis plots to enhance the
 exploration of analysis results by overlaying interactive features. The
 plots can be viewed in a web browser or embedded in notebook documents.

Package: r-bioc-glmsparsenet
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biomart, r-cran-checkmate, r-cran-dplyr, r-cran-forcats, r-cran-futile.logger, r-cran-ggplot2, r-cran-glue, r-cran-httr, r-cran-lifecycle, r-cran-readr, r-cran-rlang, r-cran-glmnet, r-cran-matrix, r-bioc-multiassayexperiment, r-bioc-summarizedexperiment, r-cran-survminer, r-bioc-tcgautils
Suggests: r-bioc-biocstyle, r-bioc-curatedtcgadata, r-cran-knitr, r-cran-magrittr, r-cran-reshape2, r-cran-proc, r-cran-rmarkdown, r-cran-survival, r-cran-testthat, r-cran-venndiagram, r-cran-withr
Filename: pool/dists/focal/main/r-bioc-glmsparsenet_1.26.0-1.ca2004.1_all.deb
Size: 1934964
MD5sum: e5340b36131d3b5a60c64f594112b850
SHA1: b3ab55817b1e93a729a618689f496f6442306862
SHA256: 1828ca756811993379d5fc59b765132be6e66e8f5bda57a58d2208998285bffe
SHA512: 4f56793d99043915b69963f74d5972a695a8008c9cc752013b534659a2e6a86372f2585550f388048cc19cc3b576648bed88671221450b60eb6aa0d6320ce80a
Homepage: https://cran.r-project.org/package=glmSparseNet
Description: Bioc Package 'glmSparseNet' (Network Centrality Metrics for Elastic-Net Regularized Models)
 glmSparseNet is an R-package that generalizes sparse regression models when
 the features (e.g. genes) have a graph structure (e.g. protein-protein
 interactions), by including network-based regularizers.  glmSparseNet uses
 the glmnet R-package, by including centrality measures of the network as
 penalty weights in the regularization. The current version implements
 regularization based on node degree, i.e. the strength and/or number of its
 associated edges, either by promoting hubs in the solution or orphan genes
 in the solution. All the glmnet distribution families are supported, namely
 "gaussian", "poisson", "binomial", "multinomial", "cox", and "mgaussian".

Package: r-bioc-globaltest
Architecture: all
Version: 5.62.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1445
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-bioc-biobase, r-bioc-annotationdbi, r-bioc-annotate
Suggests: r-bioc-vsn, r-bioc-golubesets, r-bioc-keggrest, r-bioc-hu6800.db, r-bioc-rgraphviz, r-bioc-go.db, r-bioc-lungexpression, r-bioc-org.hs.eg.db, r-bioc-gseabase, r-cran-penalized, r-cran-gss, r-cran-mass, r-cran-boot, r-cran-rpart, r-cran-mstate
Filename: pool/dists/focal/main/r-bioc-globaltest_5.62.0-1.ca2004.1_all.deb
Size: 1116884
MD5sum: 496c0c74f529dbdbe6edd8fd17d13869
SHA1: c1fc331baf1cb300106fe2e1bfadf4f448a76994
SHA256: 994bdcb3e06702f477e21e181dc9638c8c240ab35be4bd5517dfd6334964c6c3
SHA512: cdd7c987949ae5522d1857f05f8a50d3ed40dacab2e226781c69af0bc2c84a217ea398fdb2cbc50eb49f5858f34388e183412f83d11dccab9e7ff0c2e8b1b1cf
Homepage: https://cran.r-project.org/package=globaltest
Description: Bioc Package 'globaltest' (Testing Groups of Covariates/Features for Association with aResponse Variable, with Applications to Gene Set Testing)
 The global test tests groups of covariates (or features) for association
 with a response variable. This package implements the test with diagnostic
 plots and multiple testing utilities, along with several functions to
 facilitate the use of this test for gene set testing of GO and KEGG terms.

Package: r-bioc-go.db
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72753
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-dbi
Filename: pool/dists/focal/main/r-bioc-go.db_3.21.0-1.ca2004.1_all.deb
Size: 10860000
MD5sum: 41a41280684704bdbd0faeccd0a75bbb
SHA1: 5a49ba2820291aadb8e6d5fbbb4cca0b57ca9edd
SHA256: fa6f97ec5d93d8cc760a0575b5bc19ef1e0d37c4e16611e8267c64a38724760c
SHA512: 927c1c95a216bbec671dfa284580971459824eed92d958ab33cec4324aff7eec3ef8b04b15640c4c8221a9ac11b24d48de40016ea79694e46d362cba6fb88b98
Homepage: https://cran.r-project.org/package=GO.db
Description: Bioc Package 'GO.db' (A set of annotation maps describing the entire Gene Ontology)
 A set of annotation maps describing the entire Gene Ontology assembled using
 data from GO

Package: r-bioc-goseq
Architecture: all
Version: 1.60.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3242
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-biasedurn, r-bioc-genelendatabase, r-cran-mgcv, r-bioc-annotationdbi, r-bioc-go.db, r-bioc-biocgenerics, r-bioc-rtracklayer, r-bioc-genomicfeatures, r-bioc-genomeinfodb
Suggests: r-bioc-edger, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-bioc-goseq_1.60.0-1.ca2004.1_all.deb
Size: 1873132
MD5sum: eae24b62a1bdba6173a4a025855473cf
SHA1: 1ec8d5b8191e1b0234d2cbc505c5eda9d5509aa1
SHA256: e8c24781b54642b6a2c4aa38ac228089560ffcdc5e68b48898bc49eacd26caad
SHA512: 7d65a65e2b8534101239cfba775efc0c6373746e1161e66a93b87ae1b346e6047b62d96fcd2eccda0d6eea5b74f2e02b58decb6905e97104f8a738c26a4365c8
Homepage: https://cran.r-project.org/package=goseq
Description: Bioc Package 'goseq' (Gene Ontology analyser for RNA-seq and other length biased data)
 Detects Gene Ontology and/or other user defined categories which are
 over/under represented in RNA-seq data.

Package: r-bioc-gostats
Architecture: all
Version: 2.74.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4477
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-category, r-bioc-graph, r-bioc-annotationdbi, r-bioc-go.db, r-bioc-rbgl, r-bioc-annotate, r-bioc-annotationforge, r-bioc-rgraphviz
Suggests: r-bioc-hgu95av2.db, r-bioc-all, r-bioc-multtest, r-bioc-genefilter, r-cran-rcolorbrewer, r-cran-xtable, r-cran-sparsem, r-bioc-gseabase, r-bioc-geneplotter, r-bioc-org.hs.eg.db, r-cran-runit, r-bioc-biocgenerics, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-gostats_2.74.0-1.ca2004.1_all.deb
Size: 2109472
MD5sum: 96a945829404f33b4cfa32bc8361386d
SHA1: ec1f2fdbacc9ab745d852fd9cab49d7342c658ed
SHA256: 1ff25cef570e2914fc6e52802b705be1a3652057dfc08ed2b578402df9158b66
SHA512: 35ce036c5a7bf5de50e549ce6ad44619295454d1aa0cbe9e2a682e24840a78ecb79862ec8c1d7103ac36c02ed18ad8f33e201acd91aeeaba78b8540e0f8543a9
Homepage: https://cran.r-project.org/package=GOstats
Description: Bioc Package 'GOstats' (Tools for manipulating GO and microarrays)
 A set of tools for interacting with GO and microarray data. A variety of
 basic manipulation tools for graphs, hypothesis testing and other simple
 calculations.

Package: r-bioc-gpls
Architecture: all
Version: 1.80.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-bioc-gpls_1.80.0-1.ca2004.1_all.deb
Size: 301688
MD5sum: cb580647a1fa6b0656a7853f27540440
SHA1: 0048ba03016fe9cbe80e68123fb0cb78c3a7d71b
SHA256: 8bd6c7d6127f3c7c6977ba9580175d1c89870d66492e08ab829091b03ed87a34
SHA512: 95726e92b4b12956d4852c83acc8c714dd0ca1e01fbd8c05959965dba33fa8e84598c63f84576cc69f437fd83049411ddbc965ae3b7ec12ec3c1b77ae1485a4a
Homepage: https://cran.r-project.org/package=gpls
Description: Bioc Package 'gpls' (Classification using generalized partial least squares)
 Classification using generalized partial least squares for two-group and
 multi-group (more than 2 group) classification.

Package: r-bioc-graphite
Architecture: all
Version: 1.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-graph, r-cran-httr, r-cran-rappdirs, r-cran-rlang, r-cran-purrr
Suggests: r-cran-checkmate, r-bioc-a4preproc, r-bioc-all, r-bioc-biocstyle, r-cran-codetools, r-bioc-hgu133plus2.db, r-bioc-hgu95av2.db, r-bioc-impute, r-cran-knitr, r-bioc-org.hs.eg.db, r-cran-r.rsp, r-bioc-rcy3, r-cran-rmarkdown, r-bioc-spia, r-cran-testthat, r-cran-topologygsa
Filename: pool/dists/focal/main/r-bioc-graphite_1.54.0-1.ca2004.1_all.deb
Size: 880736
MD5sum: 15c8c297d52ee2e30dbf64f413c086a0
SHA1: ca0dcb6df28ec5a491326587df2a8254f7fb3801
SHA256: be2b5d518d8fa8c9e356eda07b86c9c0b236e31fe08e64a80a674fce959f74c4
SHA512: b704fe2ad243299e06d9afdd9c585484690ee142b57b7e85ecbe78adc9406f756e9b0bd0728a254368968e95e28a0f46e33d02e757e94571ed02bbbd660c4281
Homepage: https://cran.r-project.org/package=graphite
Description: Bioc Package 'graphite' (GRAPH Interaction from pathway Topological Environment)
 Graph objects from pathway topology derived from KEGG, Panther, PathBank,
 PharmGKB, Reactome SMPDB and WikiPathways databases.

Package: r-bioc-greylistchip
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 979
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-genomicalignments, r-bioc-bsgenome, r-bioc-rsamtools, r-bioc-rtracklayer, r-cran-mass, r-bioc-genomeinfodb, r-bioc-summarizedexperiment
Suggests: r-bioc-biocstyle, r-bioc-biocgenerics, r-cran-runit, r-bioc-bsgenome.hsapiens.ucsc.hg19
Filename: pool/dists/focal/main/r-bioc-greylistchip_1.40.0-1.ca2004.1_all.deb
Size: 786380
MD5sum: d3f6fe847f271e26e7a96923a7ce17d3
SHA1: a48652cf212e9942b3d6b362de8c2176c1a8b107
SHA256: d2d4d93b9ed4e731a337b1f88943eacadb438bb601d9f0485376238019280540
SHA512: e2358094d070a04527905d58567ccf987fc8270e28ea637f4b53677fe4514fcbaac3119c2dc6fe77e7b6abe9c356a767c637a9660a6224ed94ed29b842b078b0
Homepage: https://cran.r-project.org/package=GreyListChIP
Description: Bioc Package 'GreyListChIP' (Grey Lists -- Mask Artefact Regions Based on ChIP Inputs)
 Identify regions of ChIP experiments with high signal in the input, that
 lead to spurious peaks during peak calling. Remove reads aligning to these
 regions prior to peak calling, for cleaner ChIP analysis.

Package: r-bioc-gseabase
Architecture: all
Version: 1.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1865
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biobase, r-bioc-annotate, r-bioc-graph, r-bioc-annotationdbi, r-cran-xml
Suggests: r-bioc-hgu95av2.db, r-bioc-go.db, r-bioc-org.hs.eg.db, r-bioc-rgraphviz, r-bioc-reportingtools, r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-gseabase_1.70.0-1.ca2004.1_all.deb
Size: 905248
MD5sum: 50ab3a0742eb2614e4ccc436a774085d
SHA1: 21f64d6e368fde829b0f4ad04ddce0a1c5821f06
SHA256: cc7c682e6b3dd02a58bde11aaf09dcbc33bd68e09b5fff3f31c86f44961849b6
SHA512: ced5d9fa8b2c648ac810f74bd7d936d4fa215dbbf368f1d90c7d7e4a94c8cccc94e5a795d76d1f2dc03fe3ccf8f126cf1ebb4e6cfb2ea85de0c9737af7ac7451
Homepage: https://cran.r-project.org/package=GSEABase
Description: Bioc Package 'GSEABase' (Gene set enrichment data structures and methods)
 This package provides classes and methods to support Gene Set Enrichment
 Analysis (GSEA).

Package: r-bioc-gsvadata
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 17714
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-gseabase, r-bioc-hgu95a.db, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-bioc-gsvadata_1.44.0-1.ca2004.1_all.deb
Size: 17972424
MD5sum: 6f37509bf9e42602bf357f8dfcdc2b41
SHA1: 306028c71e09825299f18252098a7dc531dc987e
SHA256: 6a172483e721cb82128abe388d10cec85653ea31e15310065964ba76c0d580d6
SHA512: 913f27432e9740c21fbe79ab48a41395c07b357bd13398b257dbede040d28f61cb4ddb3116a8a284699913d7d0977e218b5d097f3c0bb4fcdbc716e3d4bd8744
Homepage: https://cran.r-project.org/package=GSVAdata
Description: Bioc Package 'GSVAdata' (Data employed in the vignette of the GSVA package)
 This package stores the data employed in the vignette of the GSVA package.
 These data belong to the following publications: Armstrong et al. Nat Genet
 30:41-47, 2002; Cahoy et al. J Neurosci 28:264-278, 2008; Carrel and
 Willard, Nature, 434:400-404, 2005; Huang et al. PNAS, 104:9758-9763, 2007;
 Pickrell et al. Nature, 464:768-722, 2010; Skaletsky et al. Nature,
 423:825-837; Verhaak et al. Cancer Cell 17:98-110, 2010; Costa et al. FEBS
 J, 288:2311-2331, 2021.

Package: r-bioc-gviz
Architecture: all
Version: 1.52.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10662
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-bioc-xvector, r-bioc-rtracklayer, r-cran-lattice, r-cran-rcolorbrewer, r-bioc-biomart, r-bioc-annotationdbi, r-bioc-biobase, r-bioc-genomicfeatures, r-bioc-ensembldb, r-bioc-bsgenome, r-bioc-biostrings, r-bioc-biovizbase, r-bioc-rsamtools, r-cran-latticeextra, r-cran-matrixstats, r-bioc-genomicalignments, r-bioc-genomeinfodb, r-bioc-biocgenerics, r-cran-digest
Suggests: r-bioc-bsgenome.hsapiens.ucsc.hg19, r-cran-xml2, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-gviz_1.52.0-1.ca2004.1_all.deb
Size: 7115552
MD5sum: aa5454d6953ff3c54c9aa56ccb164829
SHA1: e99999cc3c073aaf9ddd257acfd9146d86eb7bb7
SHA256: 7f88ce6b8ae10ae1adcac2b43441dc751b4a0691bae996bc6de2df04baaa40d0
SHA512: 7679ba5cc6638501777f72bef1d4a75efc7ab31c5a89173f6dabda59eb0fd55ba8c0f58956d1e5289b346f5480cea3bd98f5b1d7b6c4b0a383b706b53ef46366
Homepage: https://cran.r-project.org/package=Gviz
Description: Bioc Package 'Gviz' (Plotting data and annotation information along genomiccoordinates)
 Genomic data analyses requires integrated visualization of known genomic
 information and new experimental data. Gviz uses the biomaRt and the
 rtracklayer packages to perform live annotation queries to Ensembl and UCSC
 and translates this to e.g. gene/transcript structures in viewports of the
 grid graphics package. This results in genomic information plotted together
 with your data.

Package: r-bioc-gwastools
Architecture: all
Version: 1.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4524
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-gdsfmt, r-cran-dbi, r-cran-rsqlite, r-cran-gwasexacthw, r-bioc-dnacopy, r-cran-survival, r-cran-sandwich, r-cran-lmtest, r-cran-logistf, r-bioc-quantsmooth, r-cran-data.table
Suggests: r-cran-ncdf4, r-bioc-gwasdata, r-bioc-biocgenerics, r-cran-runit, r-bioc-biostrings, r-bioc-genomicranges, r-bioc-iranges, r-bioc-snprelate, r-bioc-snpstats, r-bioc-s4vectors, r-bioc-variantannotation, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-gwastools_1.54.0-1.ca2004.1_all.deb
Size: 3124508
MD5sum: 7f67a622b995a73f7a9642dd8c547527
SHA1: 3bdd8f40cbd9248e2ffed69247c7e7a1b92fa522
SHA256: 8b0aed8dae53975721abf9406d8be1b41b174dcfde57dd2fee51acd3a203f3df
SHA512: 770741e1a5add72b3ef46a7d7d7621ccc2aed498fd99c1392ced8a583e5f48abfb1e425eb5f88ac1d124d82ce1bb0330d7c5f61fabae674d5708ad8366ea1d15
Homepage: https://cran.r-project.org/package=GWASTools
Description: Bioc Package 'GWASTools' (Tools for Genome Wide Association Studies)
 Classes for storing very large GWAS data sets and annotation, and functions
 for GWAS data cleaning and analysis.

Package: r-bioc-gypsum
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 888
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-filelock, r-cran-rappdirs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-biocstyle, r-cran-digest, r-cran-jsonvalidate, r-cran-dbi, r-cran-rsqlite, r-bioc-s4vectors
Filename: pool/dists/focal/main/r-bioc-gypsum_1.4.0-1.ca2004.1_all.deb
Size: 398696
MD5sum: 434c46765ff91048298b90919ed5086c
SHA1: cc29da7ad8fa93b03cf33a3c26f16ae7da22e155
SHA256: ea5f73ee1ff9eec2451d29da198a65b92771ed09e274d657957b4e1964701e2b
SHA512: e71220cd80942beb3cbfc1bd84fa5c8680fab698253434a5ce18cd2751b540047bad74fcc26ba73f38ec9b688b0ce61bd369269d059f3e343f1db33c59991848
Homepage: https://cran.r-project.org/package=gypsum
Description: Bioc Package 'gypsum' (Interface to the gypsum REST API)
 Client for the gypsum REST API (https://gypsum.artifactdb.com), a
 cloud-based file store in the ArtifactDB ecosystem. This package provides
 functions for uploads, downloads, and various adminstrative and management
 tasks. Check out the documentation at
 https://github.com/ArtifactDB/gypsum-worker for more details.

Package: r-bioc-hdf5array
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10230
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-h5mread, r-cran-matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-s4arrays, r-bioc-rhdf5
Suggests: r-bioc-biocparallel, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-h5vcdata, r-bioc-experimenthub, r-bioc-tenxbraindata, r-bioc-zellkonverter, r-bioc-genomicfeatures, r-bioc-singlecellexperiment, r-bioc-delayedmatrixstats, r-bioc-genefilter, r-cran-rspectra, r-cran-runit, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-hdf5array_1.36.0-1.ca2004.1_all.deb
Size: 8870760
MD5sum: b237f0cf25bc4b3df42aecda09829c45
SHA1: 7c4bb9853765cb8fbbbf8f849cff087654dd540d
SHA256: 2ae68b43c2efc9bbac857a405c56ccbf49049e98a2281be4c86aba2b0e2ea292
SHA512: 7f563df4a766f7de6bf5756d1d6c52bf02080104c956ce55c8b72ae2c3f308757807725bd9be8ae2938de87b583e88fcdcb31684536aa91f57c33831e9b43a72
Homepage: https://cran.r-project.org/package=HDF5Array
Description: Bioc Package 'HDF5Array' (HDF5 datasets as array-like objects in R)
 The HDF5Array package is an HDF5 backend for DelayedArray objects. It
 implements the HDF5Array, H5SparseMatrix, H5ADMatrix, and TENxMatrix
 classes, 4 convenient and memory-efficient array-like containers for
 representing and manipulating either: (1) a conventional (a.k.a. dense) HDF5
 dataset, (2) an HDF5 sparse matrix (stored in CSR/CSC/Yale format), (3) the
 central matrix of an h5ad file (or any matrix in the /layers group), or (4)
 a 10x Genomics sparse matrix. All these containers are DelayedArray
 extensions and thus support all operations (delayed or block-processed)
 supported by DelayedArray objects.

Package: r-bioc-hdo.db
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8933
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationdbi, r-cran-dbi
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-hdo.db_1.0.0-1.ca2004.1_all.deb
Size: 1808656
MD5sum: fd3cae42732247326dc58a2582ab8ed9
SHA1: 86c2e6c263347ff50e9275cb805a28074c6552c9
SHA256: e3d7a1c128eb3e7db2b92c06e5acfe9a7fbe6147445801be7540eb7800d6b980
SHA512: e621c7381c3fd079b1c9cfc7348511ca83304be729bc16167b69e86246969c4754ee1b11a31e6ea65fccd2fbe862e13b70cebe81e2d567594959ba1ccb7dbcc9
Homepage: https://cran.r-project.org/package=HDO.db
Description: Bioc Package 'HDO.db' (A set of annotation maps describing the entire Human DiseaseOntology)
 A set of annotation maps describing the entire Human Disease Ontology
 assembled using data from DO. Its annotation data comes from
 https://github.com/DiseaseOntology/HumanDiseaseOntology/tree/main/src/ontology.

Package: r-bioc-heatplus
Architecture: all
Version: 3.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1472
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-bioc-biobase, r-bioc-hgu95av2.db, r-bioc-limma
Filename: pool/dists/focal/main/r-bioc-heatplus_3.16.0-1.ca2004.1_all.deb
Size: 1198756
MD5sum: e5cedf5c52172fc43e798086145a5f8d
SHA1: 8c178135ca6c229733ccdfca30acba74224d9661
SHA256: e6638ecf1f2ce33f9fc90405ccf8f08c49d4e0354d7a70ba384e77b55cf20802
SHA512: 7194b3c3437d2e00150e946c9dc48ee29b09044c9133140cd7d102e43c75785e690819e83fa5b6c07f5e0c6293edf9680e15e8635dd81f588b2f23b83f842840
Homepage: https://cran.r-project.org/package=Heatplus
Description: Bioc Package 'Heatplus' (Heatmaps with row and/or column covariates and colored clusters)
 Display a rectangular heatmap (intensity plot) of a data matrix. By default,
 both samples (columns) and features (row) of the matrix are sorted according
 to a hierarchical clustering, and the corresponding dendrogram is plotted.
 Optionally, panels with additional information about samples and features
 can be added to the plot.

Package: r-bioc-hgu95a.db
Architecture: all
Version: 3.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1323
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-org.hs.eg.db
Suggests: r-cran-dbi, r-bioc-annotate, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-hgu95a.db_3.13.0-1.ca2004.1_all.deb
Size: 354760
MD5sum: 9bd92268536a4e466e650f9e781d1c83
SHA1: 54d6e88c79f3abd135c0364c816536f4df075a63
SHA256: d9b3a1db252408f1851d03ab8e12bf9d65d87ad804aac1c521aedf380fc23a73
SHA512: 7ad8df5898247b972838e6ee41f440fb9457fef36b05c16b94e891f84c676c93e88f658db417bb211cd3094853fe2587538432011646f4d301df3eb96b9c3a27
Homepage: https://cran.r-project.org/package=hgu95a.db
Description: Bioc Package 'hgu95a.db' (Affymetrix Affymetrix HG_U95A Array annotation data (chiphgu95a))
 Affymetrix Affymetrix HG_U95A Array annotation data (chip hgu95a) assembled
 using data from public repositories

Package: r-bioc-hiccompare
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4089
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-mgcv, r-bioc-interactionset, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-bioc-biocparallel, r-cran-kernsmooth, r-cran-pheatmap, r-cran-gtools, r-bioc-rhdf5
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-multihiccompare
Filename: pool/dists/focal/main/r-bioc-hiccompare_1.30.0-1.ca2004.1_all.deb
Size: 3865688
MD5sum: 2a6f6cb73eb53dc100e5e19047e2d0ad
SHA1: 222578c707863a3a4d77e863fc34bac368abc14b
SHA256: 7074ceb4039b42fa26c9fa07f8fef8b634e778e3c3579b4274eeec31f5a41eb8
SHA512: 436a2150ff15525ab471c12db83e085c0fc82ca18ff0e21bebcba2e6c13a5cd84ac25675ba9de594a15eae23e350f5298ce6cc4e9dcfb3a40943cf6550ae3bf6
Homepage: https://cran.r-project.org/package=HiCcompare
Description: Bioc Package 'HiCcompare' (HiCcompare: Joint normalization and comparative analysis ofmultiple Hi-C datasets)
 HiCcompare provides functions for joint normalization and difference
 detection in multiple Hi-C datasets. HiCcompare operates on processed Hi-C
 data in the form of chromosome-specific chromatin interaction matrices. It
 accepts three-column tab-separated text files storing chromatin interaction
 matrices in a sparse matrix format which are available from several sources.
 HiCcompare is designed to give the user the ability to perform a comparative
 analysis on the 3-Dimensional structure of the genomes of cells in different
 biological states.`HiCcompare` differs from other packages that attempt to
 compare Hi-C data in that it works on processed data in chromatin
 interaction matrix format instead of pre-processed sequencing data. In
 addition, `HiCcompare` provides a non-parametric method for the joint
 normalization and removal of biases between two Hi-C datasets for the
 purpose of comparative analysis. `HiCcompare` also provides a simple yet
 robust method for detecting differences between Hi-C datasets.

Package: r-bioc-hpo.db
Architecture: all
Version: 0.99.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-annotationhub, r-bioc-biocfilecache, r-cran-dbi
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-hpo.db_0.99.2-1.ca2004.1_all.deb
Size: 395612
MD5sum: 5ab3f44f5fba668cf5ced586f719646c
SHA1: ec0a1dd577de3854561ac54c28b1b90365015e19
SHA256: 84c89293df27b09d873fa634dc409c82a297dfc6820fc77cfca9b18457858009
SHA512: 646266ac97da7134b115125612dde5173b981f40f36d18d7346581c9a64b0cefa654f2ee6976c105dd8914527aa8d72cb8d41a918e50dfed681e5cfbb0b69dfb
Homepage: https://cran.r-project.org/package=HPO.db
Description: Bioc Package 'HPO.db' (A set of annotation maps describing the entire Human PhenotypeOntology)
 Human Phenotype Ontology (HPO) was developed to create a consistent
 description of gene products with disease perspectives, and is essential for
 supporting functional genomics in disease context. Accurate disease
 descriptions can discover new relationships between genes and disease, and
 new functions for previous uncharacteried genes and alleles.We have
 developed the [DOSE](https://bioconductor.org/packages/DOSE/) package for
 semantic similarity analysis and disease enrichment analysis, and `DOSE`
 import an Bioconductor package 'DO.db' to get the relationship(such as
 parent and child) between MPO terms. But `DO.db` hasn't been updated for
 years, and a lot of semantic information is
 [missing](https://github.com/YuLab-SMU/DOSE/issues/57). So we developed the
 new package `HPO.db` for Human Human Phenotype Ontology annotation.

Package: r-bioc-hsmmsinglecell
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 16431
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-bioc-hsmmsinglecell_1.28.0-1.ca2004.1_all.deb
Size: 16770164
MD5sum: e8f81eeb0489a8ddbb4c4786b27b55eb
SHA1: 75795d974070d30c5b0a7f971a4880de46665fe3
SHA256: 7d04082b0df8d46e1a595e33f2fa8f6a8179fb0995725134123384ff806c6d18
SHA512: 93b4c4acd10d7e10aeaa9bfa33e0307d78f042626d7a0c2d8ebd8bb3304c03d08b6c0732369d85e1005091c8b06d7e3853b901f028f27d1f826a108d30486f04
Homepage: https://cran.r-project.org/package=HSMMSingleCell
Description: Bioc Package 'HSMMSingleCell' (Single-cell RNA-Seq for differentiating human skeletal musclemyoblasts (HSMM))
 Skeletal myoblasts undergo a well-characterized sequence of morphological
 and transcriptional changes during differentiation. In this experiment,
 primary human skeletal muscle myoblasts (HSMM) were expanded under high
 mitogen conditions (GM) and then differentiated by switching to low-mitogen
 media (DM).  RNA-Seq libraries were sequenced from each of several hundred
 cells taken over a time-course of serum-induced differentiation. Between 49
 and 77 cells were captured at each of four time points (0, 24, 48, 72 hours)
 following serum switch using the Fluidigm C1 microfluidic system. RNA from
 each cell was isolated and used to construct mRNA-Seq libraries, which were
 then sequenced to a depth of ~4 million reads per library, resulting in a
 complete gene expression profile for each cell.

Package: r-bioc-htsfilter
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1448
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-edger, r-bioc-deseq2, r-bioc-biocparallel, r-bioc-biobase
Suggests: r-bioc-edaseq, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-htsfilter_1.48.0-1.ca2004.1_all.deb
Size: 631188
MD5sum: c3442e04cadec91e081b6f7f4b2028c4
SHA1: fc3471049202e7d99e2b2c7073d9a2d17170b919
SHA256: c46f621096e062b0df5f3a13928fecf88bb37eaf4c79b522118a94a4a7e5d7e9
SHA512: 873935432e3eaf547de67b80d9388c802859411b089312d49916a5470b4a64b8c66c019bcec72c94580af013cd32f44645a40563bc78566084ecd31ad169af8f
Homepage: https://cran.r-project.org/package=HTSFilter
Description: Bioc Package 'HTSFilter' (Filter replicated high-throughput transcriptome sequencing data)
 This package implements a filtering procedure for replicated transcriptome
 sequencing data based on a global Jaccard similarity index in order to
 identify genes with low, constant levels of expression across one or more
 experimental conditions.

Package: r-bioc-hypergraph
Architecture: all
Version: 1.80.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-graph
Suggests: r-bioc-biocgenerics, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-hypergraph_1.80.0-1.ca2004.1_all.deb
Size: 178328
MD5sum: 12ed4391abf38fe2574844cdde48388a
SHA1: 1f88086ba0ba99a7c176ea84d1a8e79ce0127289
SHA256: c7d3fb3916f0c4c71a636df9cddbb712376100ff6d0dde844282027a5d2d9fba
SHA512: f66286753f9cd342b7b2fad9dff82f5a74878f961b0846f30046ad62ddb58a5c33da43dcd8db7dd680f4b24536a5ff4afaf0664f57aa806eccedf5d59b607662
Homepage: https://cran.r-project.org/package=hypergraph
Description: Bioc Package 'hypergraph' (A package providing hypergraph data structures)
 A package that implements some simple capabilities for representing and
 manipulating hypergraphs.

Package: r-bioc-icens
Architecture: all
Version: 1.80.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-bioc-icens_1.80.0-1.ca2004.1_all.deb
Size: 110076
MD5sum: c9821adc168977f59488f93830ad6347
SHA1: 408375d10dae4fe060dcd51a4b6dd3e74e7ef394
SHA256: 4fa8b18a4a24228bd7cbc65101efdae7f2300bad6cbe3087c516634fbbbaa013
SHA512: 668d5470126dc5c61383ef7a063d7cfce2b2105310d4439518e77d4339e63f2f99e68e9c62ef0057e0655dcb698dab03a53bfe7f8977404e3ba82fedcb1b7f58
Homepage: https://cran.r-project.org/package=Icens
Description: Bioc Package 'Icens' (NPMLE for Censored and Truncated Data)
 Many functions for computing the NPMLE for censored and truncated data.

Package: r-bioc-ihw
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6560
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-slam, r-bioc-lpsymphony, r-cran-fdrtool, r-bioc-biocgenerics
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-gridextra, r-cran-scales, r-bioc-deseq2, r-bioc-airway, r-cran-testthat, r-cran-matrix, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-bioc-ihw_1.36.0-1.ca2004.1_all.deb
Size: 4428052
MD5sum: e621b4df2e1b6c0e4d5723a165f97464
SHA1: 476450e92330b52fad518776e9c27472336fcfe7
SHA256: d06fe202034c0dd888c0758d43ccd73ef7d5aa8f6c00a25b594417f6a469c79d
SHA512: e7aaf42026704ceed23c07a3cd165a125c84fc9de6a9046c14f5bdd8c84b3394cef6bb7bcd87803130916790c794912fc9ba65be6a865bc2de68a1487b05be4f
Homepage: https://cran.r-project.org/package=IHW
Description: Bioc Package 'IHW' (Independent Hypothesis Weighting)
 Independent hypothesis weighting (IHW) is a multiple testing procedure that
 increases power compared to the method of Benjamini and Hochberg by
 assigning data-driven weights to each hypothesis. The input to IHW is a
 two-column table of p-values and covariates. The covariate can be any
 continuous-valued or categorical variable that is thought to be informative
 on the statistical properties of each hypothesis test, while it is
 independent of the p-value under the null hypothesis.

Package: r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19
Architecture: all
Version: 0.6.1-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94761
Depends: r-base-core (>= 4.2.3), r-api-4.0, r-bioc-minfi
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19_0.6.1-1.ca2004.2_all.deb
Size: 75440772
MD5sum: a123864bf8352cc3527ed8825b5dd0e1
SHA1: 4769113eb37a6063ab4e19dfd22bf99c7eba956d
SHA256: 6ff7bba3a2ad7631965aa753c41d0f76b89174560d723b890eda4b6315adf194
SHA512: 846a370a09f0e5fdb09e387f5432fec85c7b222d40a11fd24c7f7781fe91fa98d06a39635b6c97fd1c389128269219b92457ec456679fc42204b0ed1e15663d1
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylation450kanno.ilmn12.hg19
Description: Bioc Package 'IlluminaHumanMethylation450kanno.ilmn12.hg19' (Annotation for Illumina's 450k methylation arrays)
 Manifests and annotation for Illumina's 450k array data.

Package: r-bioc-illuminahumanmethylation450kmanifest
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 13955
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-minfi
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylation450kmanifest_0.4.0-1.ca2004.1_all.deb
Size: 12619248
MD5sum: 857e10e3f9d90a332b6d05acf777dbaf
SHA1: 915b3c1d202d8c6d583640701485729d76d54425
SHA256: e37700a04dbd0052c81c1a9c5506486d03a94054ab85e233f1eab3e62ea9b643
SHA512: 12a10a2e7ca975f899e27d0912b843d493ea16fb79dbf57e8af637d6e55cda51e8d2c32b9e4cae4c21de8b0be328bfaa252c7c02beb38f9126177ddca502a69d
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylation450kmanifest
Description: Bioc Package 'IlluminaHumanMethylation450kmanifest' (Annotation for Illumina's 450k methylation arrays)
 Manifest for Illumina's 450k array data

Package: r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19
Architecture: all
Version: 0.6.0-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231960
Depends: r-base-core (>= 4.2.3), r-api-4.0, r-bioc-minfi
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19_0.6.0-1.ca2004.2_all.deb
Size: 207764296
MD5sum: e5affb306e0ecc575811c893cded64ed
SHA1: 285cabe354f1e1e763bfa6b099add6df42b471db
SHA256: 1bc807324b7f5f4823f2015d4cfbabda8b7633f4814f7a6684dee6d136c8f48e
SHA512: d984a48259b4e9e11ec066587b34fb9b328282902d860ebbbb7d0517f6fc5befe9ef7ec4815eab50382c2de4cf79b17a7e0083efca9a2d50357ab31a9af9682b
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylationEPICanno.ilm10b4.hg19
Description: Bioc Package 'IlluminaHumanMethylationEPICanno.ilm10b4.hg19' (Annotation for Illumina's EPIC methylation arrays)
 An annotation package for Illumina's EPIC methylation arrays.

Package: r-bioc-illuminahumanmethylationepicmanifest
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 23794
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-minfi
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylationepicmanifest_0.3.0-1.ca2004.1_all.deb
Size: 21998008
MD5sum: 78ecddfbc08361cabf1d17c3c893ac1f
SHA1: 576cd14a26af481748773fbf044e4ed9f997e26f
SHA256: ae48d3f1b5e661160ecad76d2391933ae4756d949ccd6a161a0e70d007ee3a69
SHA512: 5b7ca213a55399ab18d07324145b28415605abb936909e630e75cdd43c1d43f7b64ceecde849a85d36e4e8598de2d8a6502eb689db817311a93c867e4f5c601c
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylationEPICmanifest
Description: Bioc Package 'IlluminaHumanMethylationEPICmanifest' (Manifest for Illumina's EPIC methylation arrays)
 A manifest package for Illumina's EPIC methylation arrays.

Package: r-bioc-illuminahumanmethylationepicv2anno.20a1.hg38
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-minfi
Suggests: r-cran-knitr, r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylationepicv2anno.20a1.hg38_1.0.0-1.ca2004.1_all.deb
Size: 139814224
MD5sum: 42ad8812d54f553eebf6c8ac5219ecf1
SHA1: ca20417076908f7a43431a89db7487437b747d67
SHA256: 0f0137ad74cd60cf04274bf2f27859cdfd60b1608efe932c858bea12167436f0
SHA512: daaeca6d8b04a5c703c5532f1dea282842e86b42b69d4d829b7c0666e0bc4c3569fad13bd44fe6f19cbbf8f7e24b359167c46090fd0220318bac7552d11b3dbf
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylationEPICv2anno.20a1.hg38
Description: Bioc Package 'IlluminaHumanMethylationEPICv2anno.20a1.hg38' (Annotation for Illumina's EPIC v2.0 methylation arrays)
 An annotation package for Illumina's EPIC v2.0 methylation arrays. The
 version 2 covers more than 935K CpG sites in the human genome hg38. It is an
 update of the original EPIC v1.0 array (i.e., the 850K methylation array).

Package: r-bioc-illuminahumanmethylationepicv2manifest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 17905
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-minfi
Suggests: r-cran-knitr, r-bioc-illuminahumanmethylationepicmanifest, r-cran-eulerr
Filename: pool/dists/focal/main/r-bioc-illuminahumanmethylationepicv2manifest_1.0.0-1.ca2004.1_all.deb
Size: 18247972
MD5sum: 8c478057a01c6f74f815302f505ad9f1
SHA1: 1b56166aab142ffe280008605ab9b1c593aede1e
SHA256: 28a15e243912b43d851d508b9ddc3e561deef4910b77004210de5b72a0b4deff
SHA512: bfbc6189875bedaeb9d0bb7aa6a0f32d4cf6056c0c764453e9e1e01f8836d67c55dc9a4486b9d1146b68b676e6520f3360da7e56d0f8b702e54b00a49da1557b
Homepage: https://cran.r-project.org/package=IlluminaHumanMethylationEPICv2manifest
Description: Bioc Package 'IlluminaHumanMethylationEPICv2manifest' (Manifest for Illumina's EPIC v2.0 methylation arrays)
 A manifest package for Illumina's EPIC v2.0 methylation arrays. The version
 2 covers more than 935K CpG sites in the human genome hg38. It is an update
 of the original EPIC v1.0 array (i.e., the 850K methylation array).

Package: r-bioc-infercnv
Architecture: all
Version: 1.24.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5215
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-gplots, r-cran-futile.logger, r-cran-ape, r-cran-phyclust, r-cran-matrix, r-cran-fastcluster, r-cran-paralleldist, r-cran-dplyr, r-cran-hiddenmarkov, r-cran-ggplot2, r-bioc-edger, r-cran-coin, r-cran-catools, r-cran-digest, r-cran-rann, r-cran-igraph, r-cran-reshape2, r-cran-rjags, r-cran-fitdistrplus, r-cran-future, r-cran-foreach, r-cran-doparallel, r-cran-seurat, r-bioc-biocgenerics, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-cran-tidyr, r-cran-coda, r-cran-gridextra, r-cran-argparse
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-infercnv_1.24.0-1.ca2004.1_all.deb
Size: 4487904
MD5sum: f37fcc415e26619f213465254b679f44
SHA1: af02dd226f8ca40edc9466abbecce68936f6348f
SHA256: b21f9ab8edb185f1ef2c94690eff4052a6988a711f7e08e55962e4e94ec87e10
SHA512: 9458d7ab88431e1a81509d6a1e501f6f26d3b8bc8a19ffefd02fdf3bcb615843b1b47403421c141ba97bb7071c44a56ce3ebce47013f38bd154cffe9ae52641c
Homepage: https://cran.r-project.org/package=infercnv
Description: Bioc Package 'infercnv' (Infer Copy Number Variation from Single-Cell RNA-Seq Data)
 Using single-cell RNA-Seq expression to visualize CNV in cells.

Package: r-bioc-interactivecomplexheatmap
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2012
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-complexheatmap, r-cran-shiny, r-cran-getoptlong, r-bioc-s4vectors, r-cran-digest, r-bioc-iranges, r-cran-kableextra, r-cran-svglite, r-cran-htmltools, r-cran-clisymbols, r-cran-jsonlite, r-cran-rcolorbrewer, r-cran-fontawesome
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-enrichedheatmap, r-bioc-genomicranges, r-cran-data.table, r-cran-circlize, r-bioc-genomicfeatures, r-cran-tidyverse, r-cran-tidyheatmap, r-cran-cluster, r-bioc-org.hs.eg.db, r-bioc-simplifyenrichment, r-bioc-go.db, r-bioc-sc3, r-bioc-goexpress, r-bioc-singlecellexperiment, r-bioc-scater, r-cran-gplots, r-cran-pheatmap, r-bioc-airway, r-bioc-deseq2, r-cran-dt, r-bioc-cola, r-cran-biocmanager, r-cran-gridtext, r-bioc-hilbertcurve, r-cran-shinydashboard, r-bioc-summarizedexperiment, r-cran-pkgndep, r-cran-ks
Filename: pool/dists/focal/main/r-bioc-interactivecomplexheatmap_1.16.0-1.ca2004.1_all.deb
Size: 1075292
MD5sum: ece70beccb057e0b7d1ec2e07843075c
SHA1: 4e26f31bc4635354d00a64269dd349779a0214bf
SHA256: 26cd26a38b33ac8807da35989958fcde5eb378d0559ac6b1d41e34ccc6091ed6
SHA512: d42f4988ea826aeec7b1c78431b20f5a1db863c163d2f052b1e95dd8625781a99f90cf46b68e3c65257f9b572c778d880b09490c1c4efab1a6dc038d9affab90
Homepage: https://cran.r-project.org/package=InteractiveComplexHeatmap
Description: Bioc Package 'InteractiveComplexHeatmap' (Make Interactive Complex Heatmaps)
 This package can easily make heatmaps which are produced by the
 ComplexHeatmap package into interactive applications. It provides two types
 of interactivities: 1. on the interactive graphics device, and 2. on a Shiny
 app. It also provides functions for integrating the interactive heatmap
 widgets for more complex Shiny app development.

Package: r-bioc-interactivedisplaybase
Architecture: all
Version: 1.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-cran-shiny, r-cran-dt
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-interactivedisplaybase_1.46.0-1.ca2004.1_all.deb
Size: 29456
MD5sum: 61ba2b3840a6e950bba2a85bcb99078d
SHA1: 4d7dad7d05990022c946bf13e794b4ea3c32120d
SHA256: 663d4fbad75dfe4edd824526088ccbbfe295717a1149db8ace01855f44b5e815
SHA512: 006b2737309ac8655b7f64944b6157a6d7189184cae972a3713d887f8f225aae57da0d07a75f50b76672514992359e408777246c6c9dbd73c5452f53a92c9610
Homepage: https://cran.r-project.org/package=interactiveDisplayBase
Description: Bioc Package 'interactiveDisplayBase' (Base package for enabling powerful shiny web displays ofBioconductor objects)
 The interactiveDisplayBase package contains the the basic methods needed to
 generate interactive Shiny based display methods for Bioconductor objects.

Package: r-bioc-ioniser
Architecture: all
Version: 2.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7145
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-rhdf5, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-bioc-shortread, r-bioc-biostrings, r-cran-ggplot2, r-bioc-biocgenerics, r-bioc-xvector, r-cran-tibble, r-bioc-biocparallel, r-cran-bit64, r-cran-stringr
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-testthat, r-bioc-minionsummarydata
Filename: pool/dists/focal/main/r-bioc-ioniser_2.32.0-1.ca2004.1_all.deb
Size: 4634404
MD5sum: 48629a5d62aee5b88d56768bc2561c87
SHA1: dc518c400cef3f0e083b38d3b99a8762e1e22afa
SHA256: 8e5d12210ac5c7f4ffccd74a6e49d47a0430413af316dc9de2743549224d0fbd
SHA512: 52b4116ccb9d753703cddb2da0193ae579182b4b3ba3bdb4bc1e7ed44ac2096139fc7d675a0ad97a4d4a5f39610a7c3336641f57175042026022e27af49bd5a5
Homepage: https://cran.r-project.org/package=IONiseR
Description: Bioc Package 'IONiseR' (Quality Assessment Tools for Oxford Nanopore MinION data)
 IONiseR provides tools for the quality assessment of Oxford Nanopore MinION
 data. It extracts summary statistics from a set of fast5 files and can be
 used either before or after base calling.  In addition to standard summaries
 of the read-types produced, it provides a number of plots for visualising
 metrics relative to experiment run time or spatially over the surface of a
 flowcell.

Package: r-bioc-karyoploter
Architecture: all
Version: 1.33.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3643
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-regioner, r-bioc-genomicranges, r-bioc-iranges, r-bioc-rsamtools, r-cran-memoise, r-bioc-rtracklayer, r-bioc-genomeinfodb, r-bioc-s4vectors, r-bioc-biovizbase, r-cran-digest, r-cran-bezier, r-bioc-genomicfeatures, r-bioc-bamsignals, r-bioc-annotationdbi, r-bioc-variantannotation
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-cran-magrittr, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-bsgenome.hsapiens.ucsc.hg19.masked, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.mmusculus.ucsc.mm10.knowngene, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-bioc-pasillabamsubset
Filename: pool/dists/focal/main/r-bioc-karyoploter_1.33.0-1.ca2004.1_all.deb
Size: 2497468
MD5sum: a04b07d6eaa6b63bb31c8fe927998aca
SHA1: 56a83709dc40c0fa3ad8612395fa1e1688ed1058
SHA256: 7b4d7a4dbdfbec971aa49f765d747cfd3ad9333a6f845e034ab9fea72f6a2486
SHA512: 63e3f765426b767790479b46c0e22b1734d1950bfc3ea7f319328ce0023d5c3db649fcc2387893d51a5aeae66eecc9383b10d48292a46ae6c2a509c2e9611f39
Homepage: https://cran.r-project.org/package=karyoploteR
Description: Bioc Package 'karyoploteR' (Plot customizable linear genomes displaying arbitrary data)
 karyoploteR creates karyotype plots of arbitrary genomes and offers a
 complete set of functions to plot arbitrary data on them. It mimicks many R
 base graphics functions coupling them with a coordinate change function
 automatically mapping the chromosome and data coordinates into the plot
 coordinates. In addition to the provided data plotting functions, it is easy
 to add new ones.

Package: r-bioc-kegggraph
Architecture: all
Version: 1.68.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2346
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml, r-bioc-graph, r-cran-rcurl, r-bioc-rgraphviz
Suggests: r-bioc-rbgl, r-cran-testthat, r-cran-rcolorbrewer, r-bioc-org.hs.eg.db, r-bioc-hgu133plus2.db, r-bioc-spia
Filename: pool/dists/focal/main/r-bioc-kegggraph_1.68.0-1.ca2004.1_all.deb
Size: 1660644
MD5sum: 8c2f5127de2edf9018ee2800e00d18ac
SHA1: 6d0880c62f9c7cc7ef0483e8ec99c70f61f908d4
SHA256: ad5811c21e87164dd505c7d0f365855f032b49ce14ed65b4dbfb346ecaf21652
SHA512: 25f29fa32ea926702f3132911c36588c2261134b4628e4af8bc69e313931c63c7828e7122d1201182d8c1d3c98cfc3a1082fd29d6c1b197adfeb6668e1a6ef51
Homepage: https://cran.r-project.org/package=KEGGgraph
Description: Bioc Package 'KEGGgraph' (KEGGgraph: A graph approach to KEGG PATHWAY in R andBioconductor)
 KEGGGraph is an interface between KEGG pathway and graph object as well as a
 collection of tools to analyze, dissect and visualize these graphs. It
 parses the regularly updated KGML (KEGG XML) files into graph models
 maintaining all essential pathway attributes. The package offers
 functionalities including parsing, graph operation, visualization and etc.

Package: r-bioc-keggrest
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-png, r-bioc-biostrings
Suggests: r-cran-runit, r-bioc-biocgenerics, r-bioc-biocstyle, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-keggrest_1.48.0-1.ca2004.1_all.deb
Size: 376424
MD5sum: 6df08d571ab0f508636313095af5b1bf
SHA1: 3dd7887014880d12981055659527136ccf5cd234
SHA256: af9590e5b64ac3c3baffb0a6a9bea1d2e06e37a2d059b67c31f3debd81708cfd
SHA512: d94e6b041a7bdf01deb6f4ede4ba9104304bf88b675cb429221b989b83ea7ce2b7cdce6b32576588a9e23749d79cae856a149b2afe2e70a4133f04ff62a299d7
Homepage: https://cran.r-project.org/package=KEGGREST
Description: Bioc Package 'KEGGREST' (Client-side REST access to the Kyoto Encyclopedia of Genes andGenomes (KEGG))
 A package that provides a client interface to the Kyoto Encyclopedia of
 Genes and Genomes (KEGG) REST API. Only for academic use by academic users
 belonging to academic institutions (see <https://www.kegg.jp/kegg/rest/>).
 Note that KEGGREST is based on KEGGSOAP by J. Zhang, R. Gentleman, and Marc
 Carlson, and KEGG (python package) by Aurelien Mazurie.

Package: r-bioc-lbe
Architecture: all
Version: 1.76.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 931
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-qvalue
Filename: pool/dists/focal/main/r-bioc-lbe_1.76.0-1.ca2004.1_all.deb
Size: 615108
MD5sum: 43e77f750a9abd02300d8d687f488664
SHA1: 7658786fffd3ea72e7a2b931c514ec711eb0ca49
SHA256: e6626171463ddf4f334cbd9b12685486398d55107587fe73a01220c938b76552
SHA512: 9cb43dec53381bc508805b9680be0ae9288dc1fc3cbf38034a5db7b2f6f1936614e715b66e299356e09ed60fd7539735ee4872525bfd5314552ea963c275a2a5
Homepage: https://cran.r-project.org/package=LBE
Description: Bioc Package 'LBE' (Estimation of the false discovery rate)
 LBE is an efficient procedure for estimating the proportion of true null
 hypotheses, the false discovery rate (and so the q-values) in the framework
 of estimating procedures based on the marginal distribution of the p-values
 without assumption for the alternative hypothesis.

Package: r-bioc-lefser
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1160
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-cran-coin, r-cran-mass, r-cran-ggplot2, r-bioc-s4vectors, r-cran-dplyr, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-forcats, r-cran-stringr, r-bioc-ggtree, r-bioc-biocgenerics, r-cran-ape, r-cran-ggrepel, r-bioc-mia, r-cran-purrr, r-cran-tidyselect, r-bioc-treeio
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-curatedmetagenomicdata, r-bioc-biocstyle, r-bioc-phyloseq, r-cran-pkgdown, r-cran-covr, r-cran-withr
Filename: pool/dists/focal/main/r-bioc-lefser_1.18.0-1.ca2004.1_all.deb
Size: 640992
MD5sum: a95b4f2ea1e618f2b1718596302c71f2
SHA1: 776acfc5a75969ff63d31bdaf036d8d8b41a07a7
SHA256: a0a0e5be80bab2ad0605377403189c67b351e116f5884549ae07db8afa9e67d9
SHA512: 0aeab7cee626d5235ecd4aebc4c6e447862dfb10a0019d21f18d33efc0c6df0438c63e6600fba321b8f9c159a9afd8e89b263a03a393162cf1f2b19ae5cf6e86
Homepage: https://cran.r-project.org/package=lefser
Description: Bioc Package 'lefser' (R implementation of the LEfSE method for microbiome biomarkerdiscovery)
 lefser is the R implementation of the popular microbiome biomarker discovery
 too, LEfSe. It uses the Kruskal-Wallis test, Wilcoxon-Rank Sum test, and
 Linear Discriminant Analysis to find biomarkers from two-level classes (and
 optional sub-classes).

Package: r-bioc-loomexperiment
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1729
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-s4vectors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-rhdf5, r-bioc-biocio, r-bioc-delayedarray, r-bioc-genomicranges, r-bioc-hdf5array, r-cran-matrix, r-cran-stringr
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-reticulate
Filename: pool/dists/focal/main/r-bioc-loomexperiment_1.26.0-1.ca2004.1_all.deb
Size: 676180
MD5sum: 9d69cf69c8c8f5ccc366d66a11706e42
SHA1: 4325fd6b959da88a0ad87802f720b9df64987987
SHA256: 94236a013588699ad06a5f5ae224f045dc80be6323d1370ce7685aee77005fcb
SHA512: bfa81f5ee4619d9d26f37941e67dee5b4692f8359b10c6c42e2a28f8740439b9e9bc5692b492bf156cf9b9e69f34d9a7c14e2d2dc6c6c5d1b64f41d15aaf9d9f
Homepage: https://cran.r-project.org/package=LoomExperiment
Description: Bioc Package 'LoomExperiment' (LoomExperiment container)
 The LoomExperiment package provide a means to easily convert the
 Bioconductor "Experiment" classes to loom files and vice versa.

Package: r-bioc-lumi
Architecture: all
Version: 2.60.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5028
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-affy, r-bioc-methylumi, r-bioc-genomicfeatures, r-bioc-genomicranges, r-bioc-annotate, r-cran-lattice, r-cran-mgcv, r-cran-nleqslv, r-cran-kernsmooth, r-bioc-preprocesscore, r-cran-rsqlite, r-cran-dbi, r-bioc-annotationdbi, r-cran-mass
Suggests: r-bioc-beadarray, r-bioc-limma, r-bioc-vsn, r-bioc-lumibarnes, r-bioc-lumihumanall.db, r-bioc-lumihumanidmapping, r-bioc-genefilter, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-bioc-lumi_2.60.0-1.ca2004.1_all.deb
Size: 4752940
MD5sum: 27b98b7242e90b7ded7c56bf47805374
SHA1: 8b63d3829e139aab9127ea3fd26593c3bf7fdbc1
SHA256: 2a6e57650200e98e7a25f4a27fb2c165f0e6918abafe7fec10c1d165684a3c89
SHA512: c8904bf43a11dad753a72cd913ea4bf70e9ede5fbd4108abca78154230f36a5d4122b6fc26f0281c914fab3d8ce6c22bdfae72d604cfd451c0323fb99107f889
Homepage: https://cran.r-project.org/package=lumi
Description: Bioc Package 'lumi' (BeadArray Specific Methods for Illumina Methylation andExpression Microarrays)
 The lumi package provides an integrated solution for the Illumina microarray
 data analysis. It includes functions of Illumina BeadStudio (GenomeStudio)
 data input, quality control, BeadArray-specific variance stabilization,
 normalization and gene annotation at the probe level. It also includes the
 functions of processing Illumina methylation microarrays, especially
 Illumina Infinium methylation microarrays.

Package: r-bioc-m3c
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 843
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-dosnow, r-cran-cluster, r-cran-foreach, r-cran-doparallel, r-cran-matrixcalc, r-cran-rtsne, r-cran-corpcor, r-cran-umap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-m3c_1.30.0-1.ca2004.1_all.deb
Size: 774496
MD5sum: 8957b4e4b4f90c08acbc15d78f431e11
SHA1: 6ad2727c2c56ab0f9e317a4599a47a850ac6f1fe
SHA256: 9415639f175bb8fddd824369556395c620ccebf3360c6904aaa2607b7eba796e
SHA512: 32f33c216d35c4ed271c97e56841dd6a1757a32085e93fda999a67f588ba85348f592ecc29c6b37ee0f2c39c223d798642b8d9b267cd8a9648534377a20d50a8
Homepage: https://cran.r-project.org/package=M3C
Description: Bioc Package 'M3C' (Monte Carlo Reference-based Consensus Clustering)
 M3C is a consensus clustering algorithm that uses a Monte Carlo simulation
 to eliminate overestimation of K and can reject the null hypothesis K=1.

Package: r-bioc-maaslin2
Architecture: all
Version: 1.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1727
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-robustbase, r-cran-biglm, r-cran-pcapp, r-bioc-edger, r-bioc-metagenomeseq, r-cran-pbapply, r-cran-car, r-cran-dplyr, r-cran-vegan, r-cran-chemometrics, r-cran-ggplot2, r-cran-pheatmap, r-cran-logging, r-cran-data.table, r-cran-lmertest, r-cran-hash, r-cran-optparse, r-cran-glmmtmb, r-cran-mass, r-cran-cplm, r-cran-pscl, r-cran-lme4, r-cran-tibble
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-maaslin2_1.22.0-1.ca2004.1_all.deb
Size: 549420
MD5sum: b580be351e3e2700b2e8a4d2489170e2
SHA1: c0fafd24c7e09ef5828752b7d7fd5c5ef21ed247
SHA256: 1a834af5e22c0fd18c4a5581fefa0701b25e8c02ac0387c55d764b8df56ceab1
SHA512: ffef38da86be40f052d9903abb84f78d5e095e7073d4e21031e2b26636867973768fccf279c641a6fdfb8f8806036981cb44bd24b765bdb45bf45ff61c2cad78
Homepage: https://cran.r-project.org/package=Maaslin2
Description: Bioc Package 'Maaslin2' ("Multivariable Association Discovery in Population-scaleMeta-omics Studies")
 MaAsLin2 is comprehensive R package for efficiently determining
 multivariable association between clinical metadata and microbial meta'omic
 features. MaAsLin2 relies on general linear models to accommodate most
 modern epidemiological study designs, including cross-sectional and
 longitudinal, and offers a variety of data exploration, normalization, and
 transformation methods. MaAsLin2 is the next generation of MaAsLin.

Package: r-bioc-marray
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9991
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-limma
Suggests: r-bioc-tkwidgets
Filename: pool/dists/focal/main/r-bioc-marray_1.86.0-1.ca2004.1_all.deb
Size: 5587532
MD5sum: 8ed5c8207f008f162d6c37b5afe01e27
SHA1: da480c9f41b81f39f366d6edfe6315263c2397e1
SHA256: d892bcfb6cb2f443b660119b4c955b64a3b4b910dbd6e9af1bf562caac48bb4c
SHA512: 2795ae939294a167d2b0dcb3d8572b7a2f7bf7ca1cccbb28f5a6263d09b7ce09161af9deee887ac12c3bc5ec25834623433ac207f5cc69cb79d512dc75e5dc2b
Homepage: https://cran.r-project.org/package=marray
Description: Bioc Package 'marray' (Exploratory analysis for two-color spotted microarray data)
 Class definitions for two-color spotted microarray data. Fuctions for data
 input, diagnostic plots, normalization and quality checking.

Package: r-bioc-mast
Architecture: all
Version: 1.33.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11235
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-s4vectors, r-cran-data.table, r-cran-ggplot2, r-cran-plyr, r-cran-stringr, r-cran-abind, r-cran-reshape2, r-bioc-summarizedexperiment, r-cran-progress, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lme4, r-cran-blme, r-cran-roxygen2, r-cran-numderiv, r-cran-car, r-cran-gdata, r-cran-lattice, r-cran-ggally, r-bioc-gseabase, r-cran-nmf, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-rsvd, r-bioc-limma, r-cran-rcolorbrewer, r-bioc-biocstyle, r-bioc-scater, r-bioc-delayedarray, r-bioc-hdf5array, r-bioc-zinbwave, r-cran-dplyr
Filename: pool/dists/focal/main/r-bioc-mast_1.33.0-1.ca2004.1_all.deb
Size: 7558464
MD5sum: 709b3314316bc8e38be25d84f8d41041
SHA1: 050429be4b5f558a9afff1ec721beb0f31c78124
SHA256: 568165bdfd979b4205e66c8d784a710a7f8d84515ee466f1ff02474006e886f6
SHA512: e9d280bed5bf2a8bdccc6622a26af9a6c137807bbd0d7736dc2288c3b5ea8713f428cc7f027842d2fd67d328e276d1f5579e0fdafcd75e94472d43b2d83a2cfd
Homepage: https://cran.r-project.org/package=MAST
Description: Bioc Package 'MAST' (Model-based Analysis of Single Cell Transcriptomics)
 Methods and models for handling zero-inflated single cell assay data.

Package: r-bioc-matrixgenerics
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 648
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-matrix, r-bioc-sparsematrixstats, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-summarizedexperiment, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-matrixgenerics_1.20.0-1.ca2004.1_all.deb
Size: 426256
MD5sum: 11b837912ec0961e94a8fb32d589fc0a
SHA1: 5f6ab40146c34a474be0790a64df3537921e0da9
SHA256: 30fbb3a41188df0fd7eae8480949f2986f4b3889a1ada9c1e44f256a1592ff4a
SHA512: 2bc0029a7f5e0ab1529f4172235822ff5b68e343539aa6c213c0e456b05759187413364cba8dda0267a39c747400f7b6f49182c310d5099e80419191cd0d0303
Homepage: https://cran.r-project.org/package=MatrixGenerics
Description: Bioc Package 'MatrixGenerics' (S4 Generic Summary Statistic Functions that Operate onMatrix-Like Objects)
 S4 generic functions modeled after the 'matrixStats' API for alternative
 matrix implementations. Packages with alternative matrix implementation can
 depend on this package and implement the generic functions that are defined
 here for a useful set of row and column summary statistics. Other package
 developers can import this package and handle a different matrix
 implementations without worrying about incompatibilities.

Package: r-bioc-megadepth
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1263
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xfun, r-cran-fs, r-bioc-genomicranges, r-cran-readr, r-cran-cmdfun, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-covr, r-cran-knitr, r-bioc-biocstyle, r-cran-sessioninfo, r-cran-rmarkdown, r-bioc-rtracklayer, r-bioc-derfinder, r-bioc-genomeinfodb, r-cran-refmanager, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-megadepth_1.18.0-1.ca2004.1_all.deb
Size: 445392
MD5sum: 209f6781ef115a13f164c249d9afd0cc
SHA1: 53d3d78d2a5f3d4649f039c0059203cb36735596
SHA256: de8ae01d8ea437ec749c429048e14310cc8ab68a6da7702dd37671b1789946cb
SHA512: 7c945d4088084d0b1400f85200ff2f37d4f3a85e0c2668431f172f62a91df2afb95359c0e0f147a7693cc1e0cff9a3c47c2952c450eb5a2127428cd49f02eb77
Homepage: https://cran.r-project.org/package=megadepth
Description: Bioc Package 'megadepth' (megadepth: BigWig and BAM related utilities)
 This package provides an R interface to Megadepth by Christopher Wilks
 available at https://github.com/ChristopherWilks/megadepth. It is
 particularly useful for computing the coverage of a set of genomic regions
 across bigWig or BAM files. With this package, you can build base-pair
 coverage matrices for regions or annotations of your choice from BigWig
 files. Megadepth was used to create the raw files provided by
 https://bioconductor.org/packages/recount3.

Package: r-bioc-meigor
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2816
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rsolnp, r-cran-snowfall, r-cran-desolve, r-bioc-cnorode
Suggests: r-bioc-cellnoptr, r-cran-knitr, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-meigor_1.42.0-1.ca2004.1_all.deb
Size: 1713988
MD5sum: da446e131ae8568d8eb836fb877fbe62
SHA1: 71411815f95edcc7f71347e0ed253e8ea7bb1bdc
SHA256: e61741369aac8fcc94b8d2f6b29fd50c97c85739afcad1bf62b5d64017130bb3
SHA512: 4fb50f4d3f9f0bc5786ce061e5d22911857b1076ca0d09bb2312b388b9c28fbfdd3280b3b2127dbb7fc3d6173c4b307eacc7c1d6eeea946e3cf47b36cb8667b8
Homepage: https://cran.r-project.org/package=MEIGOR
Description: Bioc Package 'MEIGOR' (MEIGOR - MEtaheuristics for bIoinformatics Global Optimization)
 MEIGOR provides a comprehensive environment for performing global
 optimization tasks in bioinformatics and systems biology. It leverages
 advanced metaheuristic algorithms to efficiently search the solution space
 and is specifically tailored to handle the complexity and
 high-dimensionality of biological datasets. This package supports various
 optimization routines and is integrated with Bioconductor's infrastructure
 for a seamless analysis workflow.

Package: r-bioc-memes
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2659
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-cran-dplyr, r-cran-cmdfun, r-bioc-genomicranges, r-cran-ggplot2, r-cran-ggseqlogo, r-cran-magrittr, r-cran-matrixstats, r-cran-patchwork, r-cran-processx, r-cran-purrr, r-cran-rlang, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-usethis, r-bioc-universalmotif, r-cran-xml2
Suggests: r-cran-cowplot, r-bioc-bsgenome.dmelanogaster.ucsc.dm3, r-bioc-bsgenome.dmelanogaster.ucsc.dm6, r-cran-forcats, r-cran-testthat, r-cran-knitr, r-bioc-motifdb, r-cran-pheatmap, r-cran-pmcmrplus, r-bioc-plyranges, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-bioc-memes_1.16.0-1.ca2004.1_all.deb
Size: 894752
MD5sum: 44470a3ceaabf6182616aa761926619d
SHA1: 091dae93c0bf2917d1234dd8f1bdb76777808a44
SHA256: 6aef61d7e94583c962d78d58b833dc7f15c8dd3ca3836c05f35bccc91d4e4204
SHA512: 8948cc17eb8cd0d85f7903f75942f5f04d24b0cc18a49bdbe33c535ba2b96246bfa1a362f919b3f4f071a704fb5af2718ad04474dceee214413586934b569fb8
Homepage: https://cran.r-project.org/package=memes
Description: Bioc Package 'memes' (motif matching, comparison, and de novo discovery using the MEMESuite)
 A seamless interface to the MEME Suite family of tools for motif analysis.
 'memes' provides data aware utilities for using GRanges objects as
 entrypoints to motif analysis, data structures for examining & editing motif
 lists, and novel data visualizations. 'memes' functions and data structures
 are amenable to both base R and tidyverse workflows.

Package: r-bioc-mergeomics
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8853
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-mergeomics_1.36.0-1.ca2004.1_all.deb
Size: 2784464
MD5sum: b7ddc68558a9df9eef3e69ec33b1ee6e
SHA1: 5a18d67a54f0d576221e87bde615ae3152bee720
SHA256: 89e802af6534fa9d16cceb9cc86f0fff22a63ad25a61ee77ae166790991c5441
SHA512: 14f3056f1d85cc107736e3c4cfad0f32d245df78e9b7d98c76cee940d04f678f03b4dfbaf255725b63ce6b0a201b2e694a5c88599c11381519c23112f4643821
Homepage: https://cran.r-project.org/package=Mergeomics
Description: Bioc Package 'Mergeomics' (Integrative network analysis of omics data)
 The Mergeomics pipeline serves as a flexible framework for integrating
 multidimensional omics-disease associations, functional genomics, canonical
 pathways and gene-gene interaction networks to generate mechanistic
 hypotheses. It includes two main parts, 1) Marker set enrichment analysis
 (MSEA); 2) Weighted Key Driver Analysis (wKDA).

Package: r-bioc-metabocoreutils
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2859
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-mscoreutils, r-bioc-biocparallel
Suggests: r-bioc-biocstyle, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-robustbase
Filename: pool/dists/focal/main/r-bioc-metabocoreutils_1.16.0-1.ca2004.1_all.deb
Size: 1298004
MD5sum: 03502b36477d1abfd0db1036971a5e87
SHA1: 2d6ba622a9de9d2f8460e9836331d9ffeacec81b
SHA256: 618ce38e9b4bcf8b518a0d5592a069b5b45579ddd7db74940958604d9c17368d
SHA512: 14bf2c1f17628ef0f1556afcb5c507704a6134176a008652a5391cd4f3025579533c4be39c7e1a6b6bd00da21d8d4b33a108be5502a029c6b57109cf463265bd
Homepage: https://cran.r-project.org/package=MetaboCoreUtils
Description: Bioc Package 'MetaboCoreUtils' (Core Utils for Metabolomics Data)
 MetaboCoreUtils defines metabolomics-related core functionality provided as
 low-level functions to allow a data structure-independent usage across
 various R packages. This includes functions to calculate between ion
 (adduct) and compound mass-to-charge ratios and masses or functions to work
 with chemical formulas. The package provides also a set of adduct
 definitions and information on some commercially available internal standard
 mixes commonly used in MS experiments.

Package: r-bioc-metagenomeseq
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2636
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-limma, r-cran-glmnet, r-cran-rcolorbrewer, r-cran-matrixstats, r-cran-foreach, r-cran-matrix, r-cran-gplots, r-bioc-wrench
Suggests: r-bioc-annotate, r-bioc-biocgenerics, r-bioc-biomformat, r-cran-knitr, r-cran-gss, r-cran-testthat, r-cran-vegan, r-bioc-interactivedisplay, r-bioc-ihw
Filename: pool/dists/focal/main/r-bioc-metagenomeseq_1.50.0-1.ca2004.1_all.deb
Size: 2135208
MD5sum: 43864ca575237af3c9f799653097c721
SHA1: d67a1363f4febf2b0987492e90de796880ea37c5
SHA256: 850205bda1ec292c0b7212f82c6a3fcd6518cbe21ad48b15a916ddb49cf9b686
SHA512: 0bcfac58151ee910b6b77d9fe5532001b5c3c15d3e55502686e56d7d6279ffaa16eb76952b56a1ce70aa37ec7ad293e8d3833d997025c1871a051be2d291ac19
Homepage: https://cran.r-project.org/package=metagenomeSeq
Description: Bioc Package 'metagenomeSeq' (Statistical analysis for sparse high-throughput sequencing)
 metagenomeSeq is designed to determine features (be it Operational Taxanomic
 Unit (OTU), species, etc.) that are differentially abundant between two or
 more groups of multiple samples. metagenomeSeq is designed to address the
 effects of both normalization and under-sampling of microbial communities on
 disease association detection and the testing of feature correlations.

Package: r-bioc-methylumi
Architecture: all
Version: 2.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-scales, r-cran-reshape2, r-cran-ggplot2, r-cran-matrixstats, r-bioc-fdb.infiniummethylation.hg19, r-bioc-minfi, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-cran-lattice, r-bioc-annotate, r-bioc-genefilter, r-bioc-annotationdbi, r-bioc-illuminaio, r-bioc-genomicfeatures
Suggests: r-bioc-lumi, r-bioc-limma, r-cran-xtable, r-cran-sqn, r-cran-mass, r-bioc-rtracklayer, r-bioc-biostrings, r-bioc-tcgamethylation450k, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-fdb.infiniummethylation.hg18, r-bioc-homo.sapiens, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-methylumi_2.54.0-1.ca2004.1_all.deb
Size: 7279716
MD5sum: 1baa1c16c981a16be2088a4a9ee97d80
SHA1: 6892f2a63ab6e93e0674e9f2a6db820e8eb6b229
SHA256: b1065572d1ea021d9c9866014b14b1544244fc8a3035579745fe6ee5e6be7b72
SHA512: fe9429be9f4b818c15c539eeb5ddfd7c9496c094da43d71dcd1584489ca17c1a646a08abea2b6e8a50c8e3da9a198ec3e73375fb30fb3522b6a24d0fca2ac047
Homepage: https://cran.r-project.org/package=methylumi
Description: Bioc Package 'methylumi' (Handle Illumina methylation data)
 This package provides classes for holding and manipulating Illumina
 methylation data.  Based on eSet, it can contain MIAME information, sample
 information, feature information, and multiple matrices of data.  An
 "intelligent" import function, methylumiR can read the Illumina text files
 and create a MethyLumiSet. methylumIDAT can directly read raw IDAT files
 from HumanMethylation27 and HumanMethylation450 microarrays.  Normalization,
 background correction, and quality control features for GoldenGate,
 Infinium, and Infinium HD arrays are also included.

Package: r-bioc-mfuzz
Architecture: all
Version: 2.68.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1363
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-e1071, r-bioc-tkwidgets
Suggests: r-bioc-marray
Filename: pool/dists/focal/main/r-bioc-mfuzz_2.68.0-1.ca2004.1_all.deb
Size: 772412
MD5sum: 6f40aef86dd01678d30b6187c8f40ca3
SHA1: 53a3eba61568cc66128ca598f4e67f94556e8b18
SHA256: 266597242792bdae2454bd6cca914a3683833558f676256904738e7d18f7c18a
SHA512: 3e23c64acb6b1120a3b3871509b89c1c58d0dcb5797b1f20b11201361623ec49539769284974e8493014b613a5d15d14b59e2f33ab61008b6c77adae7e860796
Homepage: https://cran.r-project.org/package=Mfuzz
Description: Bioc Package 'Mfuzz' (Soft clustering of omics time series data)
 The Mfuzz package implements noise-robust soft clustering of omics
 time-series data, including transcriptomic, proteomic or metabolomic data.
 It is based on the use of c-means clustering. For convenience, it includes a
 graphical user interface.

Package: r-bioc-microbiome
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1518
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-phyloseq, r-cran-ggplot2, r-bioc-biostrings, r-cran-compositions, r-cran-dplyr, r-cran-reshape2, r-cran-rtsne, r-cran-scales, r-cran-tibble, r-cran-tidyr, r-cran-vegan
Suggests: r-bioc-biocgenerics, r-bioc-biocstyle, r-cran-cairo, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-microbiome_1.30.0-1.ca2004.1_all.deb
Size: 1005572
MD5sum: db827b6d0f51b83971edef2635ef99f6
SHA1: a425fb3d7d3d58126ba2be17008c87fbc98e52ac
SHA256: e064d18ec4f414610d527607538904d9f7416ac68ec4ad4d4775949e9ba841c3
SHA512: 167152c7a014ede664f98cd2e722fc28ae3209774d4d95c346cd1454766f27ef1fe27d7a77797c820a52f2c83f3226ee1d3a021548a86bde9133d9ab85a91d1e
Homepage: https://cran.r-project.org/package=microbiome
Description: Bioc Package 'microbiome' (Microbiome Analytics)
 Utilities for microbiome analysis.

Package: r-bioc-minfi
Architecture: all
Version: 1.54.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2573
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-biostrings, r-bioc-bumphunter, r-bioc-s4vectors, r-bioc-genomeinfodb, r-bioc-biobase, r-bioc-iranges, r-cran-beanplot, r-cran-rcolorbrewer, r-cran-lattice, r-cran-nor1mix, r-bioc-siggenes, r-bioc-limma, r-bioc-preprocesscore, r-bioc-illuminaio, r-bioc-delayedmatrixstats, r-cran-mclust, r-bioc-genefilter, r-cran-nlme, r-cran-reshape, r-cran-mass, r-cran-quadprog, r-cran-data.table, r-bioc-geoquery, r-bioc-delayedarray, r-bioc-hdf5array, r-bioc-biocparallel
Suggests: r-bioc-illuminahumanmethylation450kmanifest, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-minfidata, r-bioc-minfidataepic, r-bioc-flowsorted.blood.450k, r-cran-runit, r-cran-digest, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-minfi_1.54.0-1.ca2004.1_all.deb
Size: 1340052
MD5sum: 4e0be8f6741ad3b12566984372ee7528
SHA1: cd5988eb1efbe141efd77571f21fdcb4f0ffe38e
SHA256: 9511bf5b494516e84e7111ef4e3ddce789c15fcc02a6ca81628c8564d2f4d549
SHA512: 087db1bd069348c616906a5dc8ceb239f90df5711513987f807fdc92b2b72cf8bd799a94d1d0b1014672766eaefe8edb6650e564b667b8b2f612e4becc206951
Homepage: https://cran.r-project.org/package=minfi
Description: Bioc Package 'minfi' (Analyze Illumina Infinium DNA methylation arrays)
 Tools to analyze & visualize Illumina Infinium methylation arrays.

Package: r-bioc-missmethyl
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2555
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19, r-bioc-illuminahumanmethylationepicv2anno.20a1.hg38, r-bioc-annotationdbi, r-cran-biasedurn, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-go.db, r-bioc-illuminahumanmethylation450kmanifest, r-bioc-illuminahumanmethylationepicmanifest, r-bioc-illuminahumanmethylationepicv2manifest, r-bioc-iranges, r-bioc-limma, r-bioc-methylumi, r-bioc-minfi, r-bioc-org.hs.eg.db, r-cran-ruv, r-bioc-s4vectors, r-cran-statmod, r-cran-stringr, r-bioc-summarizedexperiment
Suggests: r-bioc-biocstyle, r-bioc-edger, r-cran-knitr, r-bioc-minfidata, r-cran-rmarkdown, r-bioc-tweedeseqcountdata, r-bioc-dmrcate, r-bioc-experimenthub
Filename: pool/dists/focal/main/r-bioc-missmethyl_1.42.0-1.ca2004.1_all.deb
Size: 1551444
MD5sum: 5d2e0e28d4688ae9c61af268fc4a6139
SHA1: 9db2744af6f30ce752a4590bd3f033ae1951ced7
SHA256: 395feee939302f41ef1a15c2e7dfd739ea8f034e6f944f363f8913524136285c
SHA512: ccdf13515465d5c65c4c4a90df2223aeb700bea3cf7019b881d61d04c391f1cf25596c7e21199ad488979ecefec8e2adc6028add1f46f3df37fe14dff237d93c
Homepage: https://cran.r-project.org/package=missMethyl
Description: Bioc Package 'missMethyl' (Analysing Illumina HumanMethylation BeadChip Data)
 Normalisation, testing for differential variability and differential
 methylation and gene set testing for data from Illumina's Infinium
 HumanMethylation arrays. The normalisation procedure is subset-quantile
 within-array normalisation (SWAN), which allows Infinium I and II type
 probes on a single array to be normalised together. The test for
 differential variability is based on an empirical Bayes version of Levene's
 test. Differential methylation testing is performed using RUV, which can
 adjust for systematic errors of unknown origin in high-dimensional data by
 using negative control probes. Gene ontology analysis is performed by taking
 into account the number of probes per gene on the array, as well as taking
 into account multi-gene associated probes.

Package: r-bioc-mixomics
Architecture: all
Version: 6.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 24864
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-lattice, r-cran-ggplot2, r-cran-igraph, r-cran-ellipse, r-cran-corpcor, r-cran-rcolorbrewer, r-cran-dplyr, r-cran-tidyr, r-cran-reshape2, r-cran-matrixstats, r-cran-rarpack, r-cran-gridextra, r-cran-ggrepel, r-bioc-biocparallel, r-cran-gsignal, r-cran-rgl
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-mime, r-cran-testthat, r-cran-microbenchmark, r-cran-magick, r-cran-vdiffr, r-cran-kableextra, r-cran-devtools
Filename: pool/dists/focal/main/r-bioc-mixomics_6.32.0-1.ca2004.1_all.deb
Size: 19171228
MD5sum: cab10ce014fd5fd74aa098890371933c
SHA1: dc57a4d7ecc37f802d3fddf107c5a4be705a24a7
SHA256: d2389a593febd4fc9b1347681580f99b1731fb39d961ab4d764dad8565980b0a
SHA512: a17df12cca90c79b2d613eb44e30dabaee92260a22389cf1c2a72ac9263eb8acc77886d53be801567c335af1a43e8614c01483cc1afe4144dad37489cfca118d
Homepage: https://cran.r-project.org/package=mixOmics
Description: Bioc Package 'mixOmics' (Omics Data Integration Project)
 Multivariate methods are well suited to large omics data sets where the
 number of variables (e.g. genes, proteins, metabolites) is much larger than
 the number of samples (patients, cells, mice). They have the appealing
 properties of reducing the dimension of the data by using instrumental
 variables (components), which are defined as combinations of all variables.
 Those components are then used to produce useful graphical outputs that
 enable better understanding of the relationships and correlation structures
 between the different data sets that are integrated. mixOmics offers a wide
 range of multivariate methods for the exploration and integration of
 biological datasets with a particular focus on variable selection. The
 package proposes several sparse multivariate models we have developed to
 identify the key variables that are highly correlated, and/or explain the
 biological outcome of interest. The data that can be analysed with mixOmics
 may come from high throughput sequencing technologies, such as omics data
 (transcriptomics, metabolomics, proteomics, metagenomics etc) but also
 beyond the realm of omics (e.g. spectral imaging). The methods implemented
 in mixOmics can also handle missing values without having to delete entire
 rows with missing data. A non exhaustive list of methods include variants of
 generalised Canonical Correlation Analysis, sparse Partial Least Squares and
 sparse Discriminant Analysis. Recently we implemented integrative methods to
 combine multiple data sets: N-integration with variants of Generalised
 Canonical Correlation Analysis and P-integration with variants of
 multi-group Partial Least Squares.

Package: r-bioc-mlinterfaces
Architecture: all
Version: 1.88.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5095
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcpp, r-bioc-biocgenerics, r-bioc-biobase, r-bioc-annotate, r-cran-cluster, r-cran-gdata, r-cran-pls, r-cran-sfsmisc, r-cran-mass, r-cran-rpart, r-bioc-genefilter, r-cran-fpc, r-cran-ggvis, r-cran-shiny, r-cran-gbm, r-cran-rcolorbrewer, r-cran-hwriter, r-cran-threejs, r-cran-mlbench, r-cran-magrittr, r-bioc-summarizedexperiment
Suggests: r-cran-class, r-cran-e1071, r-cran-ipred, r-cran-randomforest, r-bioc-gpls, r-cran-pamr, r-cran-nnet, r-bioc-all, r-bioc-hgu95av2.db, r-cran-som, r-bioc-hu6800.db, r-cran-lattice, r-cran-caret, r-bioc-golubesets, r-cran-ada, r-bioc-keggorthology, r-cran-kernlab, r-cran-mboost, r-cran-party, r-cran-klar, r-bioc-biocstyle, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-mlinterfaces_1.88.0-1.ca2004.1_all.deb
Size: 3032968
MD5sum: a231007a9bebb617ff91430869586604
SHA1: 2fdbf561c7fcccc625c1680874e4816da7edf8c1
SHA256: f1672fbbab5b3c29dcf504d621176240aa69b5873d2777b148da79fd131e2d1c
SHA512: 2e963e4508f59e4c78a29cd8514bded696caa295868d5a4fa1815567922e3e63f4bb6bc1027c2825fda074427fd724b1f2f7821a2edb146d069f05fc37c46e18
Homepage: https://cran.r-project.org/package=MLInterfaces
Description: Bioc Package 'MLInterfaces' (Uniform interfaces to R machine learning procedures for data inBioconductor containers)
 This package provides uniform interfaces to machine learning code for data
 in R and Bioconductor containers.

Package: r-bioc-motifdb
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5099
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-bioc-biostrings, r-bioc-rtracklayer, r-cran-splitstackshape
Suggests: r-cran-runit, r-bioc-seqlogo, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-motifdb_1.50.0-1.ca2004.1_all.deb
Size: 4568008
MD5sum: f9fdba4afea3d08a2433c719963a8090
SHA1: bab428b7bf16009bef133364939ad0a346f91e84
SHA256: 8a4466f2e31c0ac7830f2d42d537ba1c64570fd81392378505d286dcadf63746
SHA512: 6b12ab703e15427675bc8d595469fd719a89f58eefa3004de2d3a65ebafdf728a1ca13adce52cb43ce833c064ee912bcab35a3a69054ecf7112cce422c151e35
Homepage: https://cran.r-project.org/package=MotifDb
Description: Bioc Package 'MotifDb' (An Annotated Collection of Protein-DNA Binding Sequence Motifs)
 More than 9900 annotated position frequency matrices from 14 public sources,
 for multiple organisms.

Package: r-bioc-motifstack
Architecture: all
Version: 1.52.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4943
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ade4, r-bioc-biostrings, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-xml, r-bioc-tfbstools
Suggests: r-cran-cairo, r-cran-grimport, r-cran-grimport2, r-bioc-biocgenerics, r-bioc-motifdb, r-cran-rcolorbrewer, r-bioc-biocstyle, r-cran-knitr, r-cran-runit, r-cran-rmarkdown, r-bioc-jaspar2020
Filename: pool/dists/focal/main/r-bioc-motifstack_1.52.0-1.ca2004.1_all.deb
Size: 2667540
MD5sum: 3c0da0a8ed1162b4c7d3c0bad7e2802b
SHA1: a2755363662cad78fcfae7b2f0e42332cbe4159d
SHA256: 871d81f8b3c5e8165576fd423112cbec21b93e20fe089dc4c907bc8d71c0b306
SHA512: 6bfdf98ccfd2a6df4dd4f964103d72da3d64a40f535da6d8865b73bcccd5fb8621d19b31aa04df326d5d62df2162e8da5366f84c602e0c48276934748caed494
Homepage: https://cran.r-project.org/package=motifStack
Description: Bioc Package 'motifStack' (Plot stacked logos for single or multiple DNA, RNA and aminoacid sequence)
 The motifStack package is designed for graphic representation of multiple
 motifs with different similarity scores. It works with both DNA/RNA sequence
 motif and amino acid sequence motif. In addition, it provides the
 flexibility for users to customize the graphic parameters such as the font
 type and symbol colors.

Package: r-bioc-mpo.db
Architecture: all
Version: 0.99.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-annotationhub, r-bioc-biocfilecache, r-cran-dbi
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-mpo.db_0.99.8-1.ca2004.1_all.deb
Size: 403376
MD5sum: d8ae2e77563fa041119be7bf5c40abac
SHA1: a44cf74b367aa464d85d4f12a75c6fcae454a29b
SHA256: f5c7e3dddb4960420f195060b118a8f08c4ec5c346429f2eaa0989a03e795af0
SHA512: f7a6cc45458053ea9a4c3ddbfe158d4aecb73c72fbc5b96cce330eca3d4ddd1550e2fba4d5e4896a5124b2cc55dedae17e33bb0984c21ddc23e5f2c12c099eec
Homepage: https://cran.r-project.org/package=MPO.db
Description: Bioc Package 'MPO.db' (A set of annotation maps describing the Mouse Phenotype Ontology)
 We have developed the human disease ontology R package HDO.db, which
 provides the semantic relationship between human diseases. Relying on the
 DOSE and GOSemSim packages we developed, we can carry out disease enrichment
 and semantic similarity analyses. Many biological studies are achieved
 through mouse models, and a large number of data indicate the association
 between genotypes and phenotypes or diseases.  The study of model organisms
 can be transformed into useful knowledge about normal human biology and
 disease to facilitate treatment and early screening for diseases.
 Organism-specific genotype-phenotypic associations can be applied to
 cross-species phenotypic studies to clarify previously unknown phenotypic
 connections in other species. Using the same principle to diseases can
 identify genetic associations and even help to identify disease associations
 that are not obvious. Therefore, as a supplement to HDO.db and DOSE, we
 developed mouse phenotypic ontology R package MPO.db.

Package: r-bioc-msexperiment
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2659
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-protgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-spectra, r-bioc-summarizedexperiment, r-bioc-qfeatures, r-cran-dbi, r-bioc-biocgenerics
Suggests: r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-bioc-biocstyle, r-cran-rmarkdown, r-bioc-rpx, r-bioc-mzr, r-bioc-msdata, r-bioc-msbackendsql, r-cran-rsqlite
Filename: pool/dists/focal/main/r-bioc-msexperiment_1.10.0-1.ca2004.1_all.deb
Size: 1454968
MD5sum: e90d4ac2c71274071da9e8560d9f54ef
SHA1: a18c207e09b3f5fbf6d9926e4f31c809f216ebad
SHA256: 57068ed4394cc0c5eccb07400daf013167ffea2ec4818667ab0c54f0d36c9af1
SHA512: c6f36ce04a79da18414f6b87ddd173d53476f8ff83b3727d55b59ed7c0049651193f17f0b40c8e2dd32578e1a0824e69e277504f9067c6416876433477d94981
Homepage: https://cran.r-project.org/package=MsExperiment
Description: Bioc Package 'MsExperiment' (Infrastructure for Mass Spectrometry Experiments)
 Infrastructure to store and manage all aspects related to a complete
 proteomics or metabolomics mass spectrometry (MS) experiment. The
 MsExperiment package provides light-weight and flexible containers for MS
 experiments building on the new MS infrastructure provided by the Spectra,
 QFeatures and related packages. Along with raw data representations, links
 to original data files and sample annotations, additional metadata or
 annotations can also be stored within the MsExperiment container. To
 guarantee maximum flexibility only minimal constraints are put on the type
 and content of the data within the containers.

Package: r-bioc-msfeatures
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2630
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-protgenerics, r-bioc-mscoreutils, r-bioc-summarizedexperiment
Suggests: r-cran-testthat, r-cran-roxygen2, r-bioc-biocstyle, r-cran-pheatmap, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-msfeatures_1.16.0-1.ca2004.1_all.deb
Size: 1486768
MD5sum: 28bbb0edeef73e6e23586d79e4b19641
SHA1: 141766c77ad6afc95300524de53c70088b8a294a
SHA256: ea002d87cc3377de8705d2d7f684a04faf48984b114d4f3c6b67429fb47967d5
SHA512: be5ecd24ea193413bdf77e699798dc2fade46582035ccdbb71a3c6fb3f400b641fcaf8751c328c9716558c8c3c2e6e46dbd90301a27bc757a212f8d3b69a7a38
Homepage: https://cran.r-project.org/package=MsFeatures
Description: Bioc Package 'MsFeatures' (Functionality for Mass Spectrometry Features)
 The MsFeature package defines functionality for Mass Spectrometry features.
 This includes functions to group (LC-MS) features based on some of their
 properties, such as retention time (coeluting features), or correlation of
 signals across samples. This packge hence allows to group features, and its
 results can be used as an input for the `QFeatures` package which allows to
 aggregate abundance levels of features within each group. This package
 defines concepts and functions for base and common data types,
 implementations for more specific data types are expected to be implemented
 in the respective packages (such as e.g. `xcms`). All functionality of this
 package is implemented in a modular way which allows combination of
 different grouping approaches and enables its re-use in other R packages.

Package: r-bioc-multiassayexperiment
Architecture: all
Version: 1.34.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3911
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-bioc-biobase, r-bioc-biocbaseutils, r-bioc-biocgenerics, r-bioc-delayedarray, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-cran-tidyr
Suggests: r-bioc-biocstyle, r-bioc-hdf5array, r-bioc-h5mread, r-cran-knitr, r-bioc-maftools, r-cran-r.rsp, r-bioc-raggedexperiment, r-cran-reshape2, r-cran-rmarkdown, r-cran-survival, r-cran-survminer, r-cran-testthat, r-cran-upsetr
Filename: pool/dists/focal/main/r-bioc-multiassayexperiment_1.34.0-1.ca2004.1_all.deb
Size: 1428944
MD5sum: cada6fa99cb1a48c2ab6932d9809071b
SHA1: 9e4cc148362b4f06e736842efc0dbc867bde4b4b
SHA256: 4484811e71ed0338caaccba750600bd5b21efcd2e0eb237cb241c58dc2f4ab87
SHA512: 6d6f84604a2036abed79d64c6db598718dc50c8b0b8f310b7332eae703e3a242abbeec02acd09b6615e2d7b79204f5e8757419e753e173e4d0aec60d8160c01b
Homepage: https://cran.r-project.org/package=MultiAssayExperiment
Description: Bioc Package 'MultiAssayExperiment' (Software for the integration of multi-omics experiments inBioconductor)
 Harmonize data management of multiple experimental assays performed on an
 overlapping set of specimens.  It provides a familiar Bioconductor user
 experience by extending concepts from SummarizedExperiment, supporting an
 open-ended mix of standard data classes for individual assays, and allowing
 subsetting by genomic ranges or rownames. Facilities are provided for
 reshaping data into wide and long formats for adaptability to graphing and
 downstream analysis.

Package: r-bioc-multidataset
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1940
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-cran-ggplot2, r-cran-ggrepel, r-cran-qqman, r-bioc-limma
Suggests: r-bioc-brgedata, r-bioc-minfi, r-bioc-minfidata, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-omicade4, r-bioc-iclusterplus, r-bioc-geoquery, r-bioc-multiassayexperiment, r-bioc-biocstyle, r-bioc-raggedexperiment
Filename: pool/dists/focal/main/r-bioc-multidataset_1.36.0-1.ca2004.1_all.deb
Size: 595364
MD5sum: 6777cfec8ab684576a1bf854eba4d269
SHA1: c7b475ceeea5d3f71fa8e3825dfe3b4bd3fb66b1
SHA256: cc62e5cd9a4bc531c4bd4334ac004808b7001a6d939558e3162b7405ceeaba8a
SHA512: 598deb1958c63d41837bd75a77c7c231d9682b47ae31d115424d7630c9e8657f4d2a4ca8cc133002b1d2ce24a2bff63c71e84485eec44a670f5b0b812fb2fd47
Homepage: https://cran.r-project.org/package=MultiDataSet
Description: Bioc Package 'MultiDataSet' (Implementation of MultiDataSet and ResultSet)
 Implementation of the BRGE's (Bioinformatic Research Group in Epidemiology
 from Center for Research in Environmental Epidemiology) MultiDataSet and
 ResultSet. MultiDataSet is designed for integrating multi omics data sets
 and ResultSet is a container for omics results. This package contains base
 classes for MEAL and rexposome packages.

Package: r-bioc-multihiccompare
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7063
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-bioc-hiccompare, r-bioc-edger, r-bioc-biocparallel, r-cran-qqman, r-cran-pheatmap, r-bioc-genomicranges, r-cran-pbapply, r-bioc-genomeinfodbdata, r-bioc-genomeinfodb, r-cran-aggregation
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-multihiccompare_1.26.0-1.ca2004.1_all.deb
Size: 5273784
MD5sum: a36976c82cc879e936f937d0e61b8761
SHA1: 4f9438d525e08f1153c89775c377b035ccdfcd16
SHA256: ae137a073af147c66f570df2522ca0820621b86893a90ee3a845094db0bffec4
SHA512: 55bab52664f37d91164af181b20edc6a77fb6f288498b9f3476a1ad502b3fdf301f7c2e56ef24303bb6ccc802b090bee71f3b4000fe80b068d2b8b90c5b01de7
Homepage: https://cran.r-project.org/package=multiHiCcompare
Description: Bioc Package 'multiHiCcompare' (Normalize and detect differences between Hi-C datasets whenreplicates of each experimental condition are available)
 multiHiCcompare provides functions for joint normalization and difference
 detection in multiple Hi-C datasets. This extension of the original
 HiCcompare package now allows for Hi-C experiments with more than 2 groups
 and multiple samples per group. multiHiCcompare operates on processed Hi-C
 data in the form of sparse upper triangular matrices. It accepts four column
 (chromosome, region1, region2, IF) tab-separated text files storing
 chromatin interaction matrices. multiHiCcompare provides cyclic loess and
 fast loess (fastlo) methods adapted to jointly normalizing Hi-C data.
 Additionally, it provides a general linear model (GLM) framework adapting
 the edgeR package to detect differences in Hi-C data in a distance dependent
 manner.

Package: r-bioc-mungesumstats
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4284
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-r.utils, r-cran-dplyr, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-iranges, r-cran-ieugwasr, r-bioc-bsgenome, r-bioc-biostrings, r-cran-stringr, r-bioc-variantannotation, r-bioc-rtracklayer, r-cran-rcurl
Suggests: r-bioc-snplocs.hsapiens.dbsnp144.grch37, r-bioc-snplocs.hsapiens.dbsnp144.grch38, r-bioc-snplocs.hsapiens.dbsnp155.grch37, r-bioc-snplocs.hsapiens.dbsnp155.grch38, r-bioc-bsgenome.hsapiens.1000genomes.hs37d5, r-bioc-bsgenome.hsapiens.ncbi.grch38, r-bioc-biocgenerics, r-bioc-s4vectors, r-cran-rmarkdown, r-cran-markdown, r-cran-knitr, r-cran-testthat, r-cran-upsetr, r-bioc-biocstyle, r-cran-covr, r-bioc-rsamtools, r-bioc-matrixgenerics, r-cran-badger, r-bioc-biocparallel, r-bioc-genomicfiles
Filename: pool/dists/focal/main/r-bioc-mungesumstats_1.16.0-1.ca2004.1_all.deb
Size: 2385756
MD5sum: 94d8c7b67bee2ba0e72c0564b2b7e203
SHA1: 19ae723f039458c6517c3f168aa2c5fbcf81c5b9
SHA256: d8c2bc96ca25218f114fe10fcb9394a317719ff3e186911bc8a32652cb50e071
SHA512: ecf62f6d256e4aea09c22447cb6cfc092f7c8ded9cf366b3cae816ac375db0e5b235d728b5afc0c92f16d835720b6d951a2cf876a029955cd3e642f020aefabe
Homepage: https://cran.r-project.org/package=MungeSumstats
Description: Bioc Package 'MungeSumstats' (Standardise summary statistics from GWAS)
 The *MungeSumstats* package is designed to facilitate the standardisation of
 GWAS summary statistics. It reformats inputted summary statisitics to
 include SNP, CHR, BP and can look up these values if any are missing. It
 also pefrorms dozens of QC and filtering steps to ensure high data quality
 and minimise inter-study differences.

Package: r-bioc-mutationalpatterns
Architecture: all
Version: 3.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10146
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-cran-nmf, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-bsgenome, r-bioc-variantannotation, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-ggplot2, r-cran-pracma, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-biostrings, r-cran-ggdendro, r-cran-cowplot, r-cran-ggalluvial, r-cran-rcolorbrewer
Suggests: r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-biocstyle, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-biomart, r-cran-gridextra, r-bioc-rtracklayer, r-bioc-ccfindr, r-bioc-genomicfeatures, r-bioc-annotationdbi, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-mutationalpatterns_3.18.0-1.ca2004.1_all.deb
Size: 6220296
MD5sum: 37df658a621bc1f45f9daab41d75e4bd
SHA1: f2b863483dd77f640e3c20c868740674c0df6a24
SHA256: c7b093b5d50d90f9cb7516975c461fbcbb3935f68cbc5ee1b0690d000e4b80e0
SHA512: b162962c486c7fdb1f0d8eee45d384e81a1e31acd80b33874ffdf8d7251229e277cdd8e9119c6b2d364ebd52fe4fbb2bd09025851168525c0c26d6766d599924
Homepage: https://cran.r-project.org/package=MutationalPatterns
Description: Bioc Package 'MutationalPatterns' (Comprehensive genome-wide analysis of mutational processes)
 Mutational processes leave characteristic footprints in genomic DNA. This
 package provides a comprehensive set of flexible functions that allows
 researchers to easily evaluate and visualize a multitude of mutational
 patterns in base substitution catalogues of e.g. healthy samples, tumour
 samples, or DNA-repair deficient cells. The package covers a wide range of
 patterns including: mutational signatures, transcriptional and replicative
 strand bias, lesion segregation, genomic distribution and association with
 genomic features, which are collectively meaningful for studying the
 activity of mutational processes. The package works with single nucleotide
 variants (SNVs), insertions and deletions (Indels), double base
 substitutions (DBSs) and larger multi base substitutions (MBSs). The package
 provides functionalities for both extracting mutational signatures de novo
 and determining the contribution of previously identified mutational
 signatures on a single sample level. MutationalPatterns integrates with
 common R genomic analysis workflows and allows easy association with
 (publicly available) annotation data.

Package: r-bioc-mzid
Architecture: all
Version: 1.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3395
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml, r-cran-plyr, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-bioc-protgenerics
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-mzid_1.46.0-1.ca2004.1_all.deb
Size: 732880
MD5sum: bf6fe12981315a5084837ebd4686e8b1
SHA1: ba530b41149bb23e022da06a3ea764e88addf4cd
SHA256: c6d88356f2b875db7effa2000db12473757a07e1f6240dfaef8b05018f86b652
SHA512: 6646ad8a1a4e4332746ae3e568c354bf8e72177736faeb4757bf7a01e23d28b58e724492a4220b01c9a0efb0516f5b8ec64742fe3e1e05467950ab8d52998de5
Homepage: https://cran.r-project.org/package=mzID
Description: Bioc Package 'mzID' (An mzIdentML parser for R)
 A parser for mzIdentML files implemented using the XML package. The parser
 tries to be general and able to handle all types of mzIdentML files with the
 drawback of having less 'pretty' output than a vendor specific parser.
 Please contact the maintainer with any problems and supply an mzIdentML file
 so the problems can be fixed quickly.

Package: r-bioc-netsam
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3088
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-seriation, r-cran-igraph, r-cran-wgcna, r-bioc-biomart, r-bioc-annotationdbi, r-cran-doparallel, r-cran-foreach, r-cran-survival, r-bioc-go.db, r-cran-r2html, r-cran-dbi
Suggests: r-cran-runit, r-bioc-biocgenerics, r-bioc-org.sc.sgd.db, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-bioc-org.rn.eg.db, r-bioc-org.dr.eg.db, r-bioc-org.ce.eg.db, r-bioc-org.cf.eg.db, r-bioc-org.dm.eg.db, r-bioc-org.at.tair.db, r-cran-rmarkdown, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-netsam_1.48.0-1.ca2004.1_all.deb
Size: 1127724
MD5sum: f26851696634b93d88df742ec7ca8ac3
SHA1: f3b74430ca96462efca6cd27de9780e5d3b4c03e
SHA256: 605b36cfa23ddbcb4733d7504293acdec9c75f8cb20e3acfa17588da9dedf52a
SHA512: a649c9690466cbf4f4778e625a2478eb4f5fca3d972c034291104217fcd5f6b8f97e1500497aba52f4ed24c4975f6ca879b8911f07fe320f6f5269f311a8ecd2
Homepage: https://cran.r-project.org/package=NetSAM
Description: Bioc Package 'NetSAM' (Network Seriation And Modularization)
 The NetSAM (Network Seriation and Modularization) package takes an edge-list
 representation of a weighted or unweighted network as an input, performs
 network seriation and modularization analysis, and generates as files that
 can be used as an input for the one-dimensional network visualization tool
 NetGestalt (http://www.netgestalt.org) or other network analysis. The NetSAM
 package can also generate correlation network (e.g. co-expression network)
 based on the input matrix data, perform seriation and modularization
 analysis for the correlation network and calculate the associations between
 the sample features and modules or identify the associated GO terms for the
 modules.

Package: r-bioc-noiseq
Architecture: all
Version: 2.52.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2716
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-matrix
Filename: pool/dists/focal/main/r-bioc-noiseq_2.52.0-1.ca2004.1_all.deb
Size: 2508216
MD5sum: adf8bd10157d503c851b54a768c5866b
SHA1: 383b94c55b61d7f60db7adf394d82a09d736097a
SHA256: 207b1c652d575054abd3da9b25a2c6301d8b0060fd6679c55d68459f4a53fdb8
SHA512: 801203cc8983001f8308e3b199047d72b5146ea101be379b3a9b661a93ed9e5d2fb499985ce91b8fecd6ea8b66aec0cf99f166cf4b59c3a7e0710e79bc86a230
Homepage: https://cran.r-project.org/package=NOISeq
Description: Bioc Package 'NOISeq' (Exploratory analysis and differential expression for RNA-seqdata)
 Analysis of RNA-seq expression data or other similar kind of data.
 Exploratory plots to evualuate saturation, count distribution, expression
 per chromosome, type of detected features, features length, etc.
 Differential expression between two experimental conditions with no
 parametric assumptions.

Package: r-bioc-oligoclasses
Architecture: all
Version: 1.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1819
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biobase, r-bioc-iranges, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-biostrings, r-bioc-affyio, r-cran-foreach, r-cran-biocmanager, r-bioc-s4vectors, r-cran-rsqlite, r-cran-dbi, r-cran-ff
Suggests: r-bioc-hapmapsnp5, r-bioc-hapmapsnp6, r-bioc-pd.genomewidesnp.6, r-bioc-pd.genomewidesnp.5, r-bioc-pd.mapping50k.hind240, r-bioc-pd.mapping50k.xba240, r-bioc-pd.mapping250k.sty, r-bioc-pd.mapping250k.nsp, r-bioc-genomewidesnp6crlmm, r-bioc-genomewidesnp5crlmm, r-cran-runit, r-bioc-human370v1ccrlmm, r-bioc-vanillaice, r-bioc-crlmm
Filename: pool/dists/focal/main/r-bioc-oligoclasses_1.70.0-1.ca2004.1_all.deb
Size: 1270496
MD5sum: 158b54f2244a9dc689b581eadd374fde
SHA1: 06701a1ac669855dfb30c20de9178a0f60cd81e3
SHA256: 25134fe86d50c8a7c4feb33fa1272d3bb7959c84c628f010c9f5e40da7205f84
SHA512: aa8f30a02c5614afafc76bac2f89d1d1f60427da6fe1d3c3752d7ed952bbc493cdd0af12fd77c91798747b6332ebadfcacf5e04df699f83aa1ee93319a01f8c4
Homepage: https://cran.r-project.org/package=oligoClasses
Description: Bioc Package 'oligoClasses' (Classes for high-throughput arrays supported by oligo and crlmm)
 This package contains class definitions, validity checks, and initialization
 methods for classes used by the oligo and crlmm packages.

Package: r-bioc-org.dr.eg.db
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118680
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-dbi, r-bioc-annotate, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-org.dr.eg.db_3.21.0-1.ca2004.1_all.deb
Size: 13405760
MD5sum: 47ee09a838c9feca0c9c1fbb0d69856c
SHA1: 351bc905e148b58ccdbdcf9404249ef507673fc3
SHA256: 7c406e08abdc1696b8d8ab670d0e285b57da1cce5752ab51e16cbec86ee9166c
SHA512: 070ddd4c4c20ee57f2c1f235e4361df3936dd0fe6c66b0ead93951afe111bee3022cde6436878606ef625e63f06d9d23f03ecf1c760a29b24fa3b6545667790d
Homepage: https://cran.r-project.org/package=org.Dr.eg.db
Description: Bioc Package 'org.Dr.eg.db' (Genome wide annotation for Zebrafish)
 Genome wide annotation for Zebrafish, primarily based on mapping using
 Entrez Gene identifiers.

Package: r-bioc-org.hs.eg.db
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374325
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-dbi, r-bioc-annotate, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-org.hs.eg.db_3.21.0-1.ca2004.1_all.deb
Size: 40451076
MD5sum: 2e9888ae4d01fc4b1550697e2321f9b4
SHA1: f403e3a4b62567616d173e83d573850bcdbf12cf
SHA256: 231359d610013ce7f5b39698024e634f227cdef4b4551fc974b3398f8dbef55c
SHA512: 4ef912a3141b5eefc15309ad6b9f02bfcd23aef03ea9f1a5ae38d7ee53cb50d9c8d375f9fd36a311e82976b20a7c5b769d7978af2b10018ebfc69a339d7897a1
Homepage: https://cran.r-project.org/package=org.Hs.eg.db
Description: Bioc Package 'org.Hs.eg.db' (Genome wide annotation for Human)
 Genome wide annotation for Human, primarily based on mapping using Entrez
 Gene identifiers.

Package: r-bioc-org.mm.eg.db
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349323
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-dbi, r-bioc-annotate, r-cran-runit
Filename: pool/dists/focal/main/r-bioc-org.mm.eg.db_3.21.0-1.ca2004.1_all.deb
Size: 35720852
MD5sum: b6e2bf36b124bbee29aa2a97f6283f6f
SHA1: 9b0313049ed5992fb55f553ebc6c09255fab6bed
SHA256: 1bf9c86d154df31ed27b817432389d1c053b30153929aaf147622e4862d1e8f0
SHA512: 12b16ce44a1ee6dccf9ffd21000f50fc4a63b27eae778c259ae7d3472c4ac90bbb1eac767e5cc385d062c061f6724fc8595bd12f8e3be5ab31692f3a21fe6b8c
Homepage: https://cran.r-project.org/package=org.Mm.eg.db
Description: Bioc Package 'org.Mm.eg.db' (Genome wide annotation for Mouse)
 Genome wide annotation for Mouse, primarily based on mapping using Entrez
 Gene identifiers.

Package: r-bioc-organismdbi
Architecture: all
Version: 1.50.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1384
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-cran-dbi, r-cran-biocmanager, r-bioc-biobase, r-bioc-graph, r-bioc-rbgl, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-bioc-txdbmaker
Suggests: r-bioc-homo.sapiens, r-bioc-rattus.norvegicus, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-annotationhub, r-bioc-fdb.ucsc.trnas, r-bioc-mirbase.db, r-bioc-rtracklayer, r-bioc-biomart, r-cran-runit, r-cran-rmariadb, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-organismdbi_1.50.0-1.ca2004.1_all.deb
Size: 701676
MD5sum: e5a2e4cbe16b6c11397e7e35a25dcd71
SHA1: 075270aafc07dc364982e177c62dd3ca1ef6c174
SHA256: f029ae807673f6183755b8b743071754c36a747c317244ce345769e6919d7e5a
SHA512: bc5b59f9ff5c15d558fae02a7d6f17681606163c0c6fb217e48aa55d3fd503b84d2e11d9853f8f34ef36c57f64c0c8d66b5a6f22c016cf02cd74f460a62adaa3
Homepage: https://cran.r-project.org/package=OrganismDbi
Description: Bioc Package 'OrganismDbi' (Software to enable the smooth interfacing of different databasepackages)
 The package enables a simple unified interface to several annotation
 packages each of which has its own schema by taking advantage of the fact
 that each of these packages implements a select methods.

Package: r-bioc-pasilla
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 23786
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-dexseq
Suggests: r-cran-rmarkdown, r-bioc-biocstyle, r-cran-knitr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-bioc-pasilla_1.36.0-1.ca2004.1_all.deb
Size: 1803256
MD5sum: 29f8ede65b17ecf32fec3b3bd1e2d932
SHA1: fb7ce97b76b9a8640fa11591699a79f6544ccf59
SHA256: 087ac447711f024c27a8587be4e85140d172bb579d8ae88c2cc1ca8af064d84a
SHA512: 36011e395d7c4202d3ec695cc893248b4eac94892ed0ed2fe9dd7e6647148db6be3fba9450be98d14bb11f2133c3449850e95e87b96dad241d23ec930138e4ff
Homepage: https://cran.r-project.org/package=pasilla
Description: Bioc Package 'pasilla' (Data package with per-exon and per-gene read counts of RNA-seqsamples of Pasilla knock-down by Brooks et al., Genome Research2011.)
 This package provides per-exon and per-gene read counts computed for
 selected genes from RNA-seq data that were presented in the article
 "Conservation of an RNA regulatory map between Drosophila and mammals" by
 Brooks AN, Yang L, Duff MO, Hansen KD, Park JW, Dudoit S, Brenner SE,
 Graveley BR, Genome Res. 2011 Feb;21(2):193-202, Epub 2010 Oct 4, PMID:
 20921232.  The experiment studied the effect of RNAi knockdown of Pasilla,
 the Drosophila melanogaster ortholog of mammalian NOVA1 and NOVA2, on the
 transcriptome.  The package vignette describes how the data provided here
 were derived from the RNA-Seq read sequence data that are provided by NCBI
 Gene Expression Omnibus under accession numbers GSM461176 to GSM461181.

Package: r-bioc-pathview
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3313
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-kegggraph, r-cran-xml, r-bioc-rgraphviz, r-bioc-graph, r-cran-png, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-bioc-keggrest
Suggests: r-bioc-gage, r-bioc-org.mm.eg.db, r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-pathview_1.48.0-1.ca2004.1_all.deb
Size: 3049112
MD5sum: 10c2b28f64bbe7648269f3b9427bbda1
SHA1: 9e29527a41a012c7dcbc0f4bb0459c2540c63bf5
SHA256: 039bb04ce6b44e4cc090c6697c209d40a83788afc2375b820910b39992870b9a
SHA512: e47b70328815e37a1d32efcc0f3bfc3e31cb269f863fb89f7e3a70f078609ec9522cdeee1250c5f0884bbf36c2060f29d27cb4f7f0e99a17f99e9b442a03e674
Homepage: https://cran.r-project.org/package=pathview
Description: Bioc Package 'pathview' (a tool set for pathway based data integration and visualization)
 Pathview is a tool set for pathway based data integration and visualization.
 It maps and renders a wide variety of biological data on relevant pathway
 graphs. All users need is to supply their data and specify the target
 pathway. Pathview automatically downloads the pathway graph data, parses the
 data file, maps user data to the pathway, and render pathway graph with the
 mapped data. In addition, Pathview also seamlessly integrates with pathway
 and gene set (enrichment) analysis tools for large-scale and fully automated
 analysis.

Package: r-bioc-pfam.db
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 27769
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-dbi
Filename: pool/dists/focal/main/r-bioc-pfam.db_3.21.0-1.ca2004.1_all.deb
Size: 3577648
MD5sum: fe7b53015fd24759a6fda4948a5c0ad2
SHA1: c814d05f4b0358d094a343201ae630daa27c92a4
SHA256: d1d688b98e28b383bcb081713612953bb5dcf44ae43b4a12e7e182046ddce462
SHA512: 547dd3cce0e3fb4b26c979d735dfacb002101807cd6399a58ea2a2025388e2a768d048405e48b776982720ea08a992bb2ace251c1b10f05672f7d4ae4f3c1c9e
Homepage: https://cran.r-project.org/package=PFAM.db
Description: Bioc Package 'PFAM.db' (A set of protein ID mappings for PFAM)
 A set of protein ID mappings for PFAM assembled using data from public
 repositories

Package: r-bioc-pfamanalyzer
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 842
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-dplyr, r-cran-tibble, r-cran-magrittr
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-pfamanalyzer_1.8.0-1.ca2004.1_all.deb
Size: 286904
MD5sum: 822858703540f49fcd1b131b54f6da3b
SHA1: 0cbd1e94dfa61be47515fa9df13c72e1d9d25ba0
SHA256: 24af17ad2221b53fbd92c759cde7563bed0ffcab06c48065d2f4bcec33b6eff2
SHA512: 2971cc3d1f375916251243d055e8d06b48e0cd6e5aee4991c630f300ed4eaf739069e297f8f1094ee3fb0382bb8dd3c36f14f2c0e28bec36b7a650598863aa13
Homepage: https://cran.r-project.org/package=pfamAnalyzeR
Description: Bioc Package 'pfamAnalyzeR' (Identification of domain isotypes in pfam data)
 Protein domains is one of the most import annoation of proteins we have with
 the Pfam database/tool being (by far) the most used tool. This R package
 enables the user to read the pfam prediction from both webserver and
 stand-alone runs into R. We have recently shown most human protein domains
 exist as multiple distinct variants termed domain isotypes. Different domain
 isotypes are used in a cell, tissue, and disease-specific manner.
 Accordingly, we find that domain isotypes, compared to each other, modulate,
 or abolish the functionality of a protein domain. This R package enables the
 identification and classification of such domain isotypes from Pfam data.

Package: r-bioc-phyloseq
Architecture: all
Version: 1.52.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ade4, r-cran-ape, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-biomformat, r-bioc-biostrings, r-cran-cluster, r-cran-data.table, r-cran-foreach, r-cran-ggplot2, r-cran-igraph, r-bioc-multtest, r-cran-plyr, r-cran-reshape2, r-cran-scales, r-cran-vegan
Suggests: r-bioc-biocstyle, r-bioc-deseq2, r-bioc-genefilter, r-cran-knitr, r-cran-magrittr, r-bioc-metagenomeseq, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-phyloseq_1.52.0-1.ca2004.1_all.deb
Size: 5752300
MD5sum: ff479d127ed433dc18bd8181adf516ae
SHA1: 65270ee4a0635f8e50db4ddfd5510d6462df4412
SHA256: aa46493f93a49b25fd98ddb81c023ffc57d765031aa0d7bbcd1a2fb668868622
SHA512: e664b1f76569e09c9d35ec1538cd7fd53fd9139ed608da8d7dfc86e8c26c5fe2f2c3badf0f59e66b4f9005f5c59148476c862af37f7a3ee821717d4013c4efbc
Homepage: https://cran.r-project.org/package=phyloseq
Description: Bioc Package 'phyloseq' (Handling and analysis of high-throughput microbiome census data)
 phyloseq provides a set of classes and tools to facilitate the import,
 storage, analysis, and graphical display of microbiome census data.

Package: r-bioc-piano
Architecture: all
Version: 2.24.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2340
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biobase, r-cran-gplots, r-cran-igraph, r-cran-relations, r-bioc-marray, r-bioc-fgsea, r-cran-shiny, r-cran-dt, r-cran-htmlwidgets, r-cran-shinyjs, r-cran-shinydashboard, r-cran-visnetwork, r-cran-scales
Suggests: r-bioc-yeast2.db, r-bioc-rsbml, r-cran-plotrix, r-bioc-limma, r-bioc-affy, r-bioc-plier, r-bioc-affyplm, r-cran-gtools, r-bioc-biomart, r-cran-snowfall, r-bioc-annotationdbi, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-piano_2.24.0-1.ca2004.1_all.deb
Size: 1680924
MD5sum: 62d120a8f3e7b1bce5fa786a13cbe6f7
SHA1: 3fb15925d664232817de4a0762d3b5dd279ab8eb
SHA256: 5056f028fd00275b92f761664827a017e0f01f95e17c754841e4e1b87f1cd660
SHA512: fa507c5ee419c419fa54bdde96c3a92c7e4010e0a2520ce021bad6d4cb7f60cc14c8edd0e3951b7859f91d7ebcd6fbbff999816ff8700e99d7ec03951bdf3712
Homepage: https://cran.r-project.org/package=piano
Description: Bioc Package 'piano' (Platform for integrative analysis of omics data)
 Piano performs gene set analysis using various statistical methods, from
 different gene level statistics and a wide range of gene-set collections.
 Furthermore, the Piano package contains functions for combining the results
 of multiple runs of gene set analyses.

Package: r-bioc-plyranges
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2836
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-iranges, r-bioc-genomicranges, r-cran-dplyr, r-cran-rlang, r-cran-magrittr, r-cran-tidyselect, r-bioc-rtracklayer, r-bioc-genomicalignments, r-bioc-genomeinfodb, r-bioc-rsamtools, r-bioc-s4vectors
Suggests: r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-testthat, r-bioc-helloranges, r-bioc-hellorangesdata, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-pasillabamsubset, r-cran-covr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-bioc-plyranges_1.28.0-1.ca2004.1_all.deb
Size: 1517588
MD5sum: a997528ede83f0f6ef5ffe21be6b3380
SHA1: fd564f0eabbc88814e0fa80a933079629b0906c1
SHA256: a0622ee56fc8ceb30d0d74001b89e0fe2e0c76fc4e9510d952f5106f76e58415
SHA512: 4553e641cadf060f66bff000c8e9bad51ebf29f61cd8cd26a1642f4d5f63aa05babbe3481a0bcc8e23516c2bd66381932ead2774bf1e1f67362215fca312d208
Homepage: https://cran.r-project.org/package=plyranges
Description: Bioc Package 'plyranges' (A fluent interface for manipulating GenomicRanges)
 A dplyr-like interface for interacting with the common Bioconductor classes
 Ranges and GenomicRanges. By providing a grammatical and consistent way of
 manipulating these classes their accessiblity for new Bioconductor users is
 hopefully increased.

Package: r-bioc-progeny
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9927
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-bioc-decoupler, r-cran-reshape2
Suggests: r-bioc-airway, r-bioc-biomart, r-bioc-biocfilecache, r-cran-broom, r-cran-seurat, r-bioc-singlecellexperiment, r-bioc-deseq2, r-bioc-biocstyle, r-cran-knitr, r-cran-readr, r-cran-readxl, r-cran-pheatmap, r-cran-tibble, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-progeny_1.30.0-1.ca2004.1_all.deb
Size: 9328992
MD5sum: 7c47a13b7af5fc3ac04511f9d5eb7ca7
SHA1: f66d9a201e93f5d913460d2f7bdc2ed9a98b1009
SHA256: 7f0aab6515a4c2e37282b7783f1f194beee2e0d20296628b5b49c679264172bd
SHA512: d6fa363c517c381bf69292980ba2affc209011400ad803e82b8ea560b519deafc0ee7e799537362b5793853117a6fe670a42b7c930071565835ff6c0ce55709b
Homepage: https://cran.r-project.org/package=progeny
Description: Bioc Package 'progeny' (Pathway RespOnsive GENes for activity inference from geneexpression)
 PROGENy is resource that leverages a large compendium of publicly available
 signaling perturbation experiments to yield a common core of pathway
 responsive genes for human and mouse. These, coupled with any statistical
 method, can be used to infer pathway activities from bulk or single-cell
 transcriptomics.

Package: r-bioc-protgenerics
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-protgenerics_1.40.0-1.ca2004.1_all.deb
Size: 251876
MD5sum: 00b247b028f99af44e2a64d653e6a295
SHA1: 81091a93f2984c4ca60b9656fe0fe36a3c84929d
SHA256: 827453732c8133467db609cbe1ab2d055f54a0da2a2ec0814333f9c34fbd5c45
SHA512: 6f7d2969428ea2301180660251f2c4512ee6775a39126ccb7e72caa068fcc71e1943c1ceeeec105d79bdfba90fc6a3e342576f1a3d199bd655f62be1d6d6a9a5
Homepage: https://cran.r-project.org/package=ProtGenerics
Description: Bioc Package 'ProtGenerics' (Generic infrastructure for Bioconductor mass spectrometrypackages)
 S4 generic functions and classes needed by Bioconductor proteomics packages.

Package: r-bioc-psmatch
Architecture: all
Version: 1.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4051
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-s4vectors, r-cran-igraph, r-bioc-spectra, r-cran-matrix, r-bioc-biocparallel, r-bioc-biocgenerics, r-bioc-protgenerics, r-bioc-qfeatures, r-bioc-mscoreutils, r-bioc-iranges
Suggests: r-bioc-msdata, r-bioc-rpx, r-bioc-mzid, r-bioc-mzr, r-bioc-summarizedexperiment, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-knitr, r-cran-factoextra, r-cran-vdiffr, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-psmatch_1.12.0-1.ca2004.1_all.deb
Size: 1203276
MD5sum: 394f38fb04e94f07f1c4443e549bee7b
SHA1: f65a4757b189d01890a2533b4cff401938f5412d
SHA256: aa13618f69386d34ebb1d4966e8c19cab212d630c9c74f08e69c46f7eadcd1be
SHA512: ba936a424f904fc313c9f95dd3cdc32cf9ec53b2fd8cbfc682a1c6df121e70929f40547e0b551169b89a3268a4294748b5f5926c2073b1bcc72feebad4b47cc1
Homepage: https://cran.r-project.org/package=PSMatch
Description: Bioc Package 'PSMatch' (Handling and Managing Peptide Spectrum Matches)
 The PSMatch package helps proteomics practitioners to load, handle and
 manage Peptide Spectrum Matches. It provides functions to model
 peptide-protein relations as adjacency matrices and connected components,
 visualise these as graphs and make informed decision about shared peptide
 filtering. The package also provides functions to calculate and visualise
 MS2 fragment ions.

Package: r-bioc-purecn
Architecture: all
Version: 2.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7990
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-dnacopy, r-bioc-variantannotation, r-bioc-genomicranges, r-bioc-iranges, r-cran-rcolorbrewer, r-bioc-s4vectors, r-cran-data.table, r-bioc-summarizedexperiment, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-rsamtools, r-bioc-biobase, r-bioc-biostrings, r-bioc-biocgenerics, r-bioc-rtracklayer, r-cran-ggplot2, r-cran-gridextra, r-cran-futile.logger, r-cran-vgam, r-cran-mclust, r-bioc-rhdf5, r-cran-matrix
Suggests: r-bioc-biocparallel, r-bioc-biocstyle, r-cran-pscbs, r-cran-r.utils, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-covr, r-cran-knitr, r-cran-optparse, r-bioc-org.hs.eg.db, r-cran-jsonlite, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-purecn_2.14.1-1.ca2004.1_all.deb
Size: 6309628
MD5sum: c4c92ca21399acc5bad2ef5dade46d41
SHA1: 4153bf1625ab4381f83a87be5ee65452a4c36c07
SHA256: 90132b3b5b06655fa9cdb9613977dd1e9398fa4341714199cc457f576179f277
SHA512: e3448cde116b93ec697df25605ad46da106726e55e0c8054f689d8a176470a3c78c16f9208c4137362a2aac888f638bb00a860971903e50f11aba60bccfa27f4
Homepage: https://cran.r-project.org/package=PureCN
Description: Bioc Package 'PureCN' (Copy number calling and SNV classification using targeted shortread sequencing)
 This package estimates tumor purity, copy number, and loss of heterozygosity
 (LOH), and classifies single nucleotide variants (SNVs) by somatic status
 and clonality. PureCN is designed for targeted short read sequencing data,
 integrates well with standard somatic variant detection and copy number
 pipelines, and has support for tumor samples without matching normal
 samples.

Package: r-bioc-pvca
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-bioc-biobase, r-bioc-vsn, r-cran-lme4
Suggests: r-bioc-golubesets
Filename: pool/dists/focal/main/r-bioc-pvca_1.48.0-1.ca2004.1_all.deb
Size: 228904
MD5sum: 70f1e9bb08ba70c07b5d3ea1bef9fdf1
SHA1: ef23b8bcab69fdf22c7c77c8bfaedd2b5b2ca3bc
SHA256: 19b355e7ee57ebcbb570b772daa25e9cc7295ad3e94b730c6828db5cd493ba08
SHA512: 541b267a1b4f6fc4ff7335209d63f107dbf4dd96bbae96889cb5251bb7b36a3cd09b008859f4363829a27464eca463aa6cea0cb3cb04f843bfdc920b8f85c7d2
Homepage: https://cran.r-project.org/package=pvca
Description: Bioc Package 'pvca' (Principal Variance Component Analysis (PVCA))
 This package contains the function to assess the batch sourcs by fitting all
 "sources" as random effects including two-way interaction terms in the Mixed
 Model(depends on lme4 package) to selected principal components, which were
 obtained from the original data correlation matrix. This package accompanies
 the book "Batch Effects and Noise in Microarray Experiements, chapter 12.

Package: r-bioc-pwmenrich
Architecture: all
Version: 4.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2331
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-biostrings, r-bioc-seqlogo, r-cran-gdata, r-cran-evd, r-bioc-s4vectors
Suggests: r-bioc-motifdb, r-bioc-bsgenome, r-bioc-bsgenome.dmelanogaster.ucsc.dm3, r-bioc-pwmenrich.dmelanogaster.background, r-cran-testthat, r-cran-gtools, r-bioc-pwmenrich.hsapiens.background, r-bioc-pwmenrich.mmusculus.background, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-pwmenrich_4.44.0-1.ca2004.1_all.deb
Size: 2043808
MD5sum: 5f03c5417f0a10ba77cf5c8f583715c7
SHA1: d2406b9df188e8768c7fa6388c470b3e4d382c7f
SHA256: 3ff893c8251b9cb2bfa87e5b1a7b8fe5ac77ba973ddd0a2a991df7049aa789fa
SHA512: f6396b8ba48f9909e406252869691f329c02508679142077de8b20962f6c90574e3c4c60d15c9823d11b59e101ee03f152a51e5fd02e3e9da2e9ef4e6a8df667
Homepage: https://cran.r-project.org/package=PWMEnrich
Description: Bioc Package 'PWMEnrich' (PWM enrichment analysis)
 A toolkit of high-level functions for DNA motif scanning and enrichment
 analysis built upon Biostrings. The main functionality is PWM enrichment
 analysis of already known PWMs (e.g. from databases such as MotifDb), but
 the package also implements high-level functions for PWM scanning and
 visualisation. The package does not perform "de novo" motif discovery, but
 is instead focused on using motifs that are either experimentally derived or
 computationally constructed by other tools.

Package: r-bioc-qdnaseq
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1962
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-cghbase, r-bioc-cghcall, r-bioc-dnacopy, r-bioc-genomicranges, r-bioc-iranges, r-cran-matrixstats, r-cran-r.utils, r-bioc-rsamtools, r-cran-future.apply
Suggests: r-bioc-biocstyle, r-bioc-bsgenome, r-cran-digest, r-bioc-genomeinfodb, r-cran-future, r-cran-parallelly, r-cran-r.cache, r-bioc-qdnaseq.hg19, r-bioc-qdnaseq.mm10
Filename: pool/dists/focal/main/r-bioc-qdnaseq_1.44.0-1.ca2004.1_all.deb
Size: 1569436
MD5sum: 393e6174df53e129b1816ce4d6e9930d
SHA1: 1859599d95e70bba19cbe6ec4a27978f72130f78
SHA256: 83b090be0c565d6e8f570feccc3f3abeceb6f976b89896cdd1e358cd535743fb
SHA512: 711417f3020f19942ce777066ec39d22f62ee650dfe10789cef3ea3f5f813635b03fafe4517d89bec17e2f23e4e86b2fbc664fbdd4db63243a3fe509af0872e3
Homepage: https://cran.r-project.org/package=QDNAseq
Description: Bioc Package 'QDNAseq' (Quantitative DNA Sequencing for Chromosomal Aberrations)
 Quantitative DNA sequencing for chromosomal aberrations. The genome is
 divided into non-overlapping fixed-sized bins, number of sequence reads in
 each counted, adjusted with a simultaneous two-dimensional loess correction
 for sequence mappability and GC content, and filtered to remove spurious
 regions in the genome. Downstream steps of segmentation and calling are also
 implemented via packages DNAcopy and CGHcall, respectively.

Package: r-bioc-qfeatures
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10637
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-multiassayexperiment, r-bioc-s4vectors, r-bioc-iranges, r-bioc-summarizedexperiment, r-bioc-biocgenerics, r-bioc-protgenerics, r-bioc-annotationfilter, r-cran-lazyeval, r-bioc-biobase, r-bioc-mscoreutils, r-cran-igraph, r-cran-plotly, r-cran-tidyr, r-cran-tidyselect, r-cran-reshape2
Suggests: r-bioc-singlecellexperiment, r-bioc-msdatahub, r-cran-matrix, r-bioc-hdf5array, r-bioc-msdata, r-cran-ggplot2, r-cran-gplots, r-cran-dplyr, r-bioc-limma, r-cran-dt, r-cran-shiny, r-cran-shinydashboard, r-cran-testthat, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-bioc-vsn, r-bioc-preprocesscore, r-cran-matrixstats, r-cran-imputelcmd, r-bioc-pcamethods, r-bioc-impute, r-cran-norm, r-bioc-complexheatmap
Filename: pool/dists/focal/main/r-bioc-qfeatures_1.18.0-1.ca2004.1_all.deb
Size: 4051708
MD5sum: 2d902f6ba76d2618e7b382ee82750bbb
SHA1: ef0b2fa3437825f810fed9cbdbb2e09372769cad
SHA256: c55ffd066fb60c9bf173eb1d3caa485b0aae3d782686e0b30e544e518f8c9088
SHA512: aa4b84b543abdf0946ee755d9d12f6fc29f2c805717cf426bd89a3f51f14727a02076236fbc369dbd1488b6b380acc986b52b6b46d6cd162753ced1e251e510b
Homepage: https://cran.r-project.org/package=QFeatures
Description: Bioc Package 'QFeatures' (Quantitative features for mass spectrometry data)
 The QFeatures infrastructure enables the management and processing of
 quantitative features for high-throughput mass spectrometry assays. It
 provides a familiar Bioconductor user experience to manages quantitative
 data across different assay levels (such as peptide spectrum matches,
 peptides and proteins) in a coherent and tractable format.

Package: r-bioc-qsutils
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4991
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-pwalign, r-bioc-biocgenerics, r-cran-ape, r-cran-psych
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-bioc-qsutils_1.26.0-1.ca2004.1_all.deb
Size: 1162664
MD5sum: e8fde161bea6c0f786442f35ccefc1b1
SHA1: 2f682bb73db96e37a315ae4a5f1df46cf3277118
SHA256: 2d74f80b120c9002960d96224766d81705ae98ee863de8e4ff64c100e8a711ca
SHA512: 7f2198d5a07343471c34ff4587c8d9b487e1cbea66a8739304adfc8a486f3c70ef4ab686adbe4553c76b0676b5887ec314394a8e47430159f34d42c04cbf4403
Homepage: https://cran.r-project.org/package=QSutils
Description: Bioc Package 'QSutils' (Quasispecies Diversity)
 Set of utility functions for viral quasispecies analysis with NGS data. Most
 functions are equally useful for metagenomic studies. There are three main
 types: (1) data manipulation and exploration—functions useful for converting
 reads to haplotypes and frequencies, repairing reads, intersecting strand
 haplotypes, and visualizing haplotype alignments. (2) diversity
 indices—functions to compute diversity and entropy, in which incidence,
 abundance, and functional indices are considered. (3) data
 simulation—functions useful for generating random viral quasispecies data.

Package: r-bioc-qtlizer
Architecture: all
Version: 1.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-curl, r-bioc-genomicranges, r-cran-stringi
Suggests: r-bioc-biocstyle, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-qtlizer_1.22.0-1.ca2004.1_all.deb
Size: 214028
MD5sum: f995f88048885a15801e3e5e121fa2f8
SHA1: 722147910d1fa84229f3dd9fc53c5e5ae8e4120e
SHA256: 1d425c90888632d84046ca146244a176e9a8018025793095975281af2e3ecc44
SHA512: 91d32aa435986bedb56ad5c8f341f94d210f950195833406742acf9bf2409bfa3bb83ae8f5fad74e8941c8059b2fcaf94c8e6ef58d0741fa623d22100fb2b74c
Homepage: https://cran.r-project.org/package=Qtlizer
Description: Bioc Package 'Qtlizer' (Comprehensive QTL annotation of GWAS results)
 This R package provides access to the Qtlizer web server. Qtlizer annotates
 lists of common small variants (mainly SNPs) and genes in humans with
 associated changes in gene expression using the most comprehensive database
 of published quantitative trait loci (QTLs).

Package: r-bioc-quantsmooth
Architecture: all
Version: 1.74.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-bioc-quantsmooth_1.74.0-1.ca2004.1_all.deb
Size: 431612
MD5sum: 7327f4f40c365c80cf18977851b89a31
SHA1: dfb330bf357c54758ba68fa27ecc59da880a0494
SHA256: f2dd56d25c02e7c54fd36ad83cba5a5d770c54392b446144b366b515a4504e97
SHA512: 80455c27bc03bf2ced04408f27b3cef37ff9c82fcd8280e23a2ade0448ae67a29022f317e83a45fe4c5f06360c407b6ddfc3c29107a0a821b75600f0ddbbe52e
Homepage: https://cran.r-project.org/package=quantsmooth
Description: Bioc Package 'quantsmooth' (Quantile smoothing and genomic visualization of array data)
 Implements quantile smoothing as introduced in: Quantile smoothing of array
 CGH data; Eilers PH, de Menezes RX; Bioinformatics. 2005 Apr
 1;21(7):1146-53.

Package: r-bioc-qusage
Architecture: all
Version: 2.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10267
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-limma, r-bioc-biobase, r-cran-nlme, r-cran-emmeans, r-cran-fftw
Filename: pool/dists/focal/main/r-bioc-qusage_2.42.0-1.ca2004.1_all.deb
Size: 10219492
MD5sum: c4390aaa5158728379f82e120dc780db
SHA1: 54bdc16b7672c4301abd27bdc13ccd4aa838b562
SHA256: 3e8a5e77a70692f1eb509de6282f23e00d4fc79877b332dc6caf33b1de52d4a6
SHA512: 7d18579724a87c88641141b1f87769726a155bd5d680f85544880559cfbfdf9e816e81710e19fad6e5fd50f504203b87854895e1acb624a390fc2409c8ffb358
Homepage: https://cran.r-project.org/package=qusage
Description: Bioc Package 'qusage' (qusage: Quantitative Set Analysis for Gene Expression)
 This package is an implementation the Quantitative Set Analysis for Gene
 Expression (QuSAGE) method described in (Yaari G. et al, Nucl Acids Res,
 2013). This is a novel Gene Set Enrichment-type test, which is designed to
 provide a faster, more accurate, and easier to understand test for gene
 expression studies. qusage accounts for inter-gene correlations using the
 Variance Inflation Factor technique proposed by Wu et al. (Nucleic Acids
 Res, 2012). In addition, rather than simply evaluating the deviation from a
 null hypothesis with a single number (a P value), qusage quantifies gene set
 activity with a complete probability density function (PDF). From this PDF,
 P values and confidence intervals can be easily extracted. Preserving the
 PDF also allows for post-hoc analysis (e.g., pair-wise comparisons of gene
 set activity) while maintaining statistical traceability. Finally, while
 qusage is compatible with individual gene statistics from existing methods
 (e.g., LIMMA), a Welch-based method is implemented that is shown to improve
 specificity. The QuSAGE package also includes a mixed effects model
 implementation, as described in (Turner JA et al, BMC Bioinformatics, 2015),
 and a meta-analysis framework as described in (Meng H, et al. PLoS Comput
 Biol. 2019). For questions, contact Chris Bolen (cbolen1@gmail.com) or
 Steven Kleinstein (steven.kleinstein@yale.edu)

Package: r-bioc-qvalue
Architecture: all
Version: 2.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2813
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-qvalue_2.40.0-1.ca2004.1_all.deb
Size: 2809632
MD5sum: 519d9baa29578c3ad0b09bcbc8f7a50e
SHA1: 4e94ae003d035f9cbbc17e2d6a70428f13eeeace
SHA256: 9e3ac4b3866d4c98cbe719f98878c5e987517c5073dde10f3dfcd4507dfb93c1
SHA512: 4e85091c26e81ba468499ba38f686163817a155700ce46b6da7388c9f8fcb96d1f5c61b031d273c2fc94cbe9ad1e6f0eaa7a60a4636e14c3c42bc89bf9ea1824
Homepage: https://cran.r-project.org/package=qvalue
Description: Bioc Package 'qvalue' (Q-value estimation for false discovery rate control)
 This package takes a list of p-values resulting from the simultaneous
 testing of many hypotheses and estimates their q-values and local FDR
 values. The q-value of a test measures the proportion of false positives
 incurred (called the false discovery rate) when that particular test is
 called significant. The local FDR measures the posterior probability the
 null hypothesis is true given the test's p-value. Various plots are
 automatically generated, allowing one to make sensible significance
 cut-offs. Several mathematical results have recently been shown on the
 conservative accuracy of the estimated q-values from this software. The
 software can be applied to problems in genomics, brain imaging,
 astrophysics, and data mining.

Package: r-bioc-r4rna
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1118
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings
Filename: pool/dists/focal/main/r-bioc-r4rna_1.36.0-1.ca2004.1_all.deb
Size: 1041024
MD5sum: 3c49575ecd40995c4fcb9b7453af8d11
SHA1: 8b020d018915f9e0c6671d270239d7ab6bc2f6d5
SHA256: 1a2de6d7410ee0205c13e36e0afaf4eecdda1703a578671dce1448b1a1e65b12
SHA512: ba3250d477e59b36f18f99e92df1c42087610a8f38638216beb3bdf1ae043dc88b7afc6d355b6246e97bd816fb734b2eb9f8fb4522d1349774b1c10049b295c2
Homepage: https://cran.r-project.org/package=R4RNA
Description: Bioc Package 'R4RNA' (An R package for RNA visualization and analysis)
 A package for RNA basepair analysis, including the visualization of
 basepairs as arc diagrams for easy comparison and annotation of sequence and
 structure.  Arc diagrams can additionally be projected onto multiple
 sequence alignments to assess basepair conservation and covariation, with
 numerical methods for computing statistics for each.

Package: r-bioc-raggedexperiment
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2951
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-biocbaseutils, r-bioc-biocgenerics, r-bioc-genomeinfodb, r-bioc-iranges, r-cran-matrix, r-bioc-matrixgenerics, r-bioc-s4vectors, r-bioc-summarizedexperiment
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-multiassayexperiment
Filename: pool/dists/focal/main/r-bioc-raggedexperiment_1.32.0-1.ca2004.1_all.deb
Size: 761996
MD5sum: 6c2566b1ae03c53a650f903345de37d0
SHA1: bab1524516af5e0e890ec04a7afe849cd997628e
SHA256: 80a75d79986a1a2a75d8c1721821ffa676eeb387356b52a2a690924a2b6927b6
SHA512: 088a0ab1f8a663d68d9300acc55a289b26f731a484adad0e182165b20727b81399ee60688b11d4e322c33fdcb21c208e515539398413929902dfa96c351960f2
Homepage: https://cran.r-project.org/package=RaggedExperiment
Description: Bioc Package 'RaggedExperiment' (Representation of Sparse Experiments and Assays Across Samples)
 This package provides a flexible representation of copy number, mutation,
 and other data that fit into the ragged array schema for genomic location
 data. The basic representation of such data provides a rectangular flat
 table interface to the user with range information in the rows and
 samples/specimen in the columns. The RaggedExperiment class derives from a
 GRangesList representation and provides a semblance of a rectangular
 dataset.

Package: r-bioc-rankprod
Architecture: all
Version: 3.34.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 958
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rmpfr, r-cran-gmp
Filename: pool/dists/focal/main/r-bioc-rankprod_3.34.0-1.ca2004.1_all.deb
Size: 893004
MD5sum: 82b06a446a389ecd7e370904dec0a3ea
SHA1: e66035eb22158ff4fab24af7e611c39822e26bed
SHA256: 848db0257c90d8a0968fc2075eed43388be593f2a3eea7e59b95526b7e0e69ab
SHA512: 3b284e8ed2f03e1443c9aeb1c064333ecc21d8746621bfbb2494ed5f00942c9975596e7aa100a983dd37a2198c9028cf9c2bfd398223732b1ed1e7a08a75fa0f
Homepage: https://cran.r-project.org/package=RankProd
Description: Bioc Package 'RankProd' (Rank Product method for identifying differentially expressedgenes with application in meta-analysis)
 Non-parametric method for identifying differentially expressed (up- or down-
 regulated) genes based on the estimated percentage of false predictions
 (pfp). The method can combine data sets from different origins
 (meta-analysis) to increase the power of the identification.

Package: r-bioc-rcpi
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5456
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-gosemsim, r-cran-curl, r-cran-doparallel, r-cran-foreach, r-cran-httr2, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-rcpi_1.44.0-1.ca2004.1_all.deb
Size: 2242576
MD5sum: 60e591c68b7fde53ead564660c1a8ab2
SHA1: 8c8086eba7f9b53a3588db8423c2ce5aa2b22025
SHA256: 4921897fda24bd3a1c954111aa8447c11ff69bf66e7bbdc4a2b4a562fdc8fa3c
SHA512: df6f313b4a472cbe784eadf474ddb6891a1ee842f34848c39c34e305053713c3269ec6af2e12e059e8393cabf66e8b3d70a24aa9351a5601bd5055dafa561ce6
Homepage: https://cran.r-project.org/package=Rcpi
Description: Bioc Package 'Rcpi' (Molecular Informatics Toolkit for Compound-Protein Interactionin Drug Discovery)
 A molecular informatics toolkit with an integration of bioinformatics and
 chemoinformatics tools for drug discovery.

Package: r-bioc-rcy3
Architecture: all
Version: 2.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 17739
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-rjsonio, r-cran-xml, r-bioc-biocgenerics, r-bioc-graph, r-cran-fs, r-cran-uuid, r-cran-stringi, r-cran-glue, r-cran-rcurl, r-cran-base64url, r-cran-base64enc, r-cran-irkernel, r-cran-irdisplay, r-cran-rcolorbrewer, r-cran-gplots
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph
Filename: pool/dists/focal/main/r-bioc-rcy3_2.28.0-1.ca2004.1_all.deb
Size: 3581928
MD5sum: 51d0081eca24e4d472b4c3988df15dbc
SHA1: 164f55f1ba101746d96b89024ff7edbc23768270
SHA256: 4abb4203f2f8653d9d77795c3859ea89da86f6492b5a40f35fc5bd07357884e6
SHA512: d8794c16bae65b9d62de92e369204ad8f66d464b321e0f005c0e1af2551c5e4735b68797785485ff7baca2caf9a9df9854f54c5d86e73ae60899b73a39d7baef
Homepage: https://cran.r-project.org/package=RCy3
Description: Bioc Package 'RCy3' (Functions to Access and Control Cytoscape)
 Vizualize, analyze and explore networks using Cytoscape via R. Anything you
 can do using the graphical user interface of Cytoscape, you can now do with
 a single RCy3 function.

Package: r-bioc-reactome.db
Architecture: all
Version: 1.92.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1333816
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi
Suggests: r-cran-rsqlite
Filename: pool/dists/focal/main/r-bioc-reactome.db_1.92.0-1.ca2004.1_all.deb
Size: 153731240
MD5sum: b914b5068118c4da794a01ebc84cfc52
SHA1: 20569112b95371f206717581634b160aa978f5d2
SHA256: b31fee472592eec2460eefac2fb6c40ede3099678961af3afaafc0a27e223f97
SHA512: f5f1fced7f361805700ea1e010c2d665cc248e105c527b200ca17a9dd3d89329682af7e3f00274f7a404b0aa9f9a44bc7343faba2909fda4bd2a06f391a7b050
Homepage: https://cran.r-project.org/package=reactome.db
Description: Bioc Package 'reactome.db' (A set of annotation maps for reactome)
 A set of annotation maps for reactome assembled using data from reactome.
 This package has been created by a third-party developer, and is not
 affiliated with the Reactome team.

Package: r-bioc-reactomegsa
Architecture: all
Version: 1.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-biocsingular, r-cran-dplyr, r-cran-ggplot2, r-cran-gplots, r-cran-httr, r-cran-igraph, r-cran-jsonlite, r-cran-progress, r-cran-rcolorbrewer, r-bioc-summarizedexperiment, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-bioc-reactomegsa.data, r-cran-rmarkdown, r-bioc-scater, r-bioc-scran, r-bioc-scrnaseq, r-bioc-scuttle, r-cran-seurat, r-bioc-singlecellexperiment, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-reactomegsa_1.22.0-1.ca2004.1_all.deb
Size: 718604
MD5sum: 61a460c3b0c1e6e1e082df8b54a5e7cb
SHA1: 602fa4f9ad51d6fa2d5a4cc83cc801493bdbb9e6
SHA256: 854677b027e8e205abdd9b16b51b0bd57578f3b55de800d72f9bb6e0a99516b0
SHA512: b1e6572aa02e2d44fde327a483b64d8d2c2dc4adad91bbf4cc1655d6b0675d31e459a0126f12b2988010d03298e819f0f8dcb24a8450246fbd4054456acf4808
Homepage: https://cran.r-project.org/package=ReactomeGSA
Description: Bioc Package 'ReactomeGSA' (Client for the Reactome Analysis Service for comparativemulti-omics gene set analysis)
 The ReactomeGSA packages uses Reactome's online analysis service to perform
 a multi-omics gene set analysis. The main advantage of this package is, that
 the retrieved results can be visualized using REACTOME's powerful
 webapplication.  Since Reactome's analysis service also uses R to perfrom
 the actual gene set analysis you will get similar results when using the
 same packages (such as limma and edgeR) locally.  Therefore, if you only
 require a gene set analysis, different packages are more suited.

Package: r-bioc-reactomepa
Architecture: all
Version: 1.52.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-dose, r-bioc-enrichplot, r-cran-ggplot2, r-cran-ggraph, r-bioc-reactome.db, r-cran-igraph, r-bioc-graphite, r-cran-gson, r-cran-yulab.utils
Suggests: r-bioc-biocstyle, r-bioc-clusterprofiler, r-cran-knitr, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-prettydoc, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-reactomepa_1.52.0-1.ca2004.1_all.deb
Size: 92056
MD5sum: 04dc2ccd7df3af5f3dd44bba8a9b8990
SHA1: 342136d475eeee20c13eb2b35a11c075b8d6c363
SHA256: f3f01e6840530ee6c31c0a9fb5896f6bfa8ec1afd8258da6ddcacdc9c670e061
SHA512: 799722daba6e84e0cbb2453d29eec06b782359414db1bfe66b0dfa57a5cf66528090ce73d2f37a2a6f1ce5686b5eb6fee7bce0f0b5925ae362fbaa17bb638978
Homepage: https://cran.r-project.org/package=ReactomePA
Description: Bioc Package 'ReactomePA' (Reactome Pathway Analysis)
 This package provides functions for pathway analysis based on REACTOME
 pathway database. It implements enrichment analysis, gene set enrichment
 analysis and several functions for visualization. This package is not
 affiliated with the Reactome team.

Package: r-bioc-reder
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4975
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-scales, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-bioc-biocstyle, r-bioc-treeandleaf
Filename: pool/dists/focal/main/r-bioc-reder_3.4.0-1.ca2004.1_all.deb
Size: 3729000
MD5sum: 55af030131ab1aa4cf3a84f448974c22
SHA1: 44c5aea78e68957d71e1364bdeffce27c3f94ced
SHA256: 51c777da10681a88e184bff447cf1356f1d8695166b535b27f43d18a6ccf2fd0
SHA512: 766bb224e84066f68dc8d5595a85b94a39ce3caa5f9a97c4ccb660d146f48a0b66a56c627dd638df3fe843b6fd3318068a3cdefb262eee58bf10b2f5b066d1eb
Homepage: https://cran.r-project.org/package=RedeR
Description: Bioc Package 'RedeR' (Interactive visualization and manipulation of nested networks)
 RedeR is an R-based package combined with a stand-alone Java application for
 interactive visualization and manipulation of nested networks. Graph, node,
 and edge attributes can be configured using either graphical or command-line
 methods, following igraph syntax rules.

Package: r-bioc-regioner
Architecture: all
Version: 1.39.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4082
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-cran-memoise, r-bioc-iranges, r-bioc-bsgenome, r-bioc-biostrings, r-bioc-rtracklayer, r-bioc-genomeinfodb, r-bioc-s4vectors
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-bsgenome.hsapiens.ucsc.hg19.masked, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-regioner_1.39.0-1.ca2004.1_all.deb
Size: 1735528
MD5sum: a80c9c77347e8d753cade42cba949f39
SHA1: c2efdbd49c2b3a7984a55fe7c0cf8f735a61f712
SHA256: 8745765e20c77f9ca518ef892bec614e12f92b2d5bae02214958bfd2ce23d077
SHA512: 8a8e3f62d8718010ffea46e4e9a153af92e20a6e65a1832f43ee31f3b1207ef21c1f9f68d9a4408d7f4d0a62102d59d6f4b2e136c40c0bd84fcfdda340284633
Homepage: https://cran.r-project.org/package=regioneR
Description: Bioc Package 'regioneR' (Association analysis of genomic regions based on permutationtests)
 regioneR offers a statistical framework based on customizable permutation
 tests to assess the association between genomic region sets and other
 genomic features.

Package: r-bioc-reportingtools
Architecture: all
Version: 2.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2876
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-knitr, r-bioc-biobase, r-cran-hwriter, r-bioc-category, r-bioc-gostats, r-bioc-limma, r-cran-lattice, r-bioc-annotationdbi, r-bioc-edger, r-bioc-annotate, r-bioc-pfam.db, r-bioc-gseabase, r-bioc-biocgenerics, r-cran-xml, r-cran-r.utils, r-bioc-deseq2, r-cran-ggplot2, r-bioc-ggbio, r-bioc-iranges
Suggests: r-cran-runit, r-bioc-all, r-bioc-hgu95av2.db, r-bioc-org.mm.eg.db, r-cran-shiny, r-bioc-pasilla, r-bioc-org.sc.sgd.db, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-reportingtools_2.48.0-1.ca2004.1_all.deb
Size: 1692484
MD5sum: 79238d686fec6bb53ab47c90a0043966
SHA1: 1a9d533017208dbe25833f7d68aedcdb5d60cc87
SHA256: a6c1cf7870755a71ddc3b82b0c1134eb0cc81353a9483a5224860743574cb352
SHA512: b0240deeefba2b9e4ae7efb3d3b349e37923d94f0e0228dafa54904c50e40130343c775d70b2922031b7b785cac022d6af177afc44e673ba95bfa35bca9b6964
Homepage: https://cran.r-project.org/package=ReportingTools
Description: Bioc Package 'ReportingTools' (Tools for making reports in various formats)
 The ReportingTools software package enables users to easily display reports
 of analysis results generated from sources such as microarray and sequencing
 data.  The package allows users to create HTML pages that may be viewed on a
 web browser such as Safari, or in other formats readable by programs such as
 Excel.  Users can generate tables with sortable and filterable columns, make
 and display plots, and link table entries to other data sources such as NCBI
 or larger plots within the HTML page.  Using the package, users can also
 produce a table of contents page to link various reports together for a
 particular project that can be viewed in a web browser.  For more examples,
 please visit our site: http:// research-pub.gene.com/ReportingTools.

Package: r-bioc-residualmatrix
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1513
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-bioc-s4vectors, r-bioc-delayedarray
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocsingular
Filename: pool/dists/focal/main/r-bioc-residualmatrix_1.18.0-1.ca2004.1_all.deb
Size: 643816
MD5sum: 74c85df91eabdfe0f988a227a6b1c401
SHA1: 627ce69b7f189b9825fbba6fe23da79caca41c19
SHA256: 42970168f36e48111f4948e649ac138ff4b97397745a107fb13d8df6adda6c25
SHA512: 2b60e689d8ef294aa77dcdbc586376938fd328b8f8eb9da58a6bd6b61858a701d3ade7ae0b33fd0524c34132de8c9ebf811fcf6696f1449888d7247c1a53a819
Homepage: https://cran.r-project.org/package=ResidualMatrix
Description: Bioc Package 'ResidualMatrix' (Creating a DelayedMatrix of Regression Residuals)
 Provides delayed computation of a matrix of residuals after fitting a linear
 model to each column of an input matrix. Also supports partial computation
 of residuals where selected factors are to be preserved in the output
 matrix. Implements a number of efficient methods for operating on the
 delayed matrix of residuals, most notably matrix multiplication and
 calculation of row/column sums or means.

Package: r-bioc-rgsepd
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1442
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-deseq2, r-bioc-goseq, r-cran-gplots, r-bioc-biomart, r-bioc-org.hs.eg.db, r-bioc-go.db, r-bioc-summarizedexperiment, r-bioc-annotationdbi
Suggests: r-cran-boot, r-bioc-biocgenerics, r-cran-knitr, r-cran-xtable
Filename: pool/dists/focal/main/r-bioc-rgsepd_1.40.0-1.ca2004.1_all.deb
Size: 1364088
MD5sum: 56f8c7a3d05b6a6f8b42e60af3d81c4a
SHA1: 6d3cf6bcb6e59691a945a22a81340e3e82feb5d5
SHA256: 175012435f50dcb4befae560fb9cb677153139702829690982e05a49c5ebbe04
SHA512: 3d6c73557719b0835ca8990fd8145336ff3e0ccd51f40db387af1da80c5ba88c140a718e4c72dee1f3aa58ecf90f17a82d930e20a279e557541935b8f3786c35
Homepage: https://cran.r-project.org/package=rgsepd
Description: Bioc Package 'rgsepd' (Gene Set Enrichment / Projection Displays)
 R/GSEPD is a bioinformatics package for R to help disambiguate transcriptome
 samples (a matrix of RNA-Seq counts at transcript IDs) by automating
 differential expression (with DESeq2), then gene set enrichment (with
 GOSeq), and finally a N-dimensional projection to quantify in which ways
 each sample is like either treatment group.

Package: r-bioc-rlmm
Architecture: all
Version: 1.70.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-bioc-rlmm_1.70.0-1.ca2004.1_all.deb
Size: 381624
MD5sum: faeb4808ef020b773785815c080b8e40
SHA1: 35faab8851321280d06fb85f2811b596873d7474
SHA256: 8914116e2b7a53c643ef8892d2a21f374a064f48653ac1ca9c073380ee31b516
SHA512: bc06ba92476ebd6986b24517fb6de6f63b16f404f013011ee312cf65f4abf7a738c16cb59b7b1d1df27cb6f4b9075964ffa17560c93a7a8bed01bc0d34578848
Homepage: https://cran.r-project.org/package=RLMM
Description: Bioc Package 'RLMM' (A Genotype Calling Algorithm for Affymetrix SNP Arrays)
 A classification algorithm, based on a multi-chip, multi-SNP approach for
 Affymetrix SNP arrays. Using a large training sample where the genotype
 labels are known, this aglorithm will obtain more accurate classification
 results on new data. RLMM is based on a robust, linear model and uses the
 Mahalanobis distance for classification. The chip-to-chip non-biological
 variation is removed through normalization. This model-based algorithm
 captures the similarities across genotype groups and probes, as well as
 thousands other SNPs for accurate classification. NOTE: 100K-Xba only at for
 now.

Package: r-bioc-ropls
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10907
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-ggplot2, r-cran-plotly, r-bioc-multiassayexperiment, r-bioc-multidataset, r-bioc-summarizedexperiment
Suggests: r-bioc-biocgenerics, r-bioc-biocstyle, r-cran-knitr, r-bioc-multtest, r-bioc-omicade4, r-bioc-phenomis, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-ropls_1.40.0-1.ca2004.1_all.deb
Size: 5966524
MD5sum: d9df49cc3b182390c3dc8d2445a271b7
SHA1: ee8fb41ada51e7bc8f0b098034e6278728db7642
SHA256: 6d7e198b6b992ecef3622839b9432159080f14c15db59f8b01d100a0853f6adb
SHA512: 17d06380ddb88c55fcbd05873b4f6de187c9dd93623286a46732d2432e07e7fdf0567665bdb1043d168d5d91ae9beffdd227d9a795f7b4865501f90edacafeb1
Homepage: https://cran.r-project.org/package=ropls
Description: Bioc Package 'ropls' (PCA, PLS(-DA) and OPLS(-DA) for multivariate analysis andfeature selection of omics data)
 Latent variable modeling with Principal Component Analysis (PCA) and Partial
 Least Squares (PLS) are powerful methods for visualization, regression,
 classification, and feature selection of omics data where the number of
 variables exceeds the number of samples and with multicollinearity among
 variables. Orthogonal Partial Least Squares (OPLS) enables to separately
 model the variation correlated (predictive) to the factor of interest and
 the uncorrelated (orthogonal) variation. While performing similarly to PLS,
 OPLS facilitates interpretation. Successful applications of these
 chemometrics techniques include spectroscopic data such as Raman
 spectroscopy, nuclear magnetic resonance (NMR), mass spectrometry (MS) in
 metabolomics and proteomics, but also transcriptomics data. In addition to
 scores, loadings and weights plots, the package provides metrics and
 graphics to determine the optimal number of components (e.g. with the R2 and
 Q2 coefficients), check the validity of the model by permutation testing,
 detect outliers, and perform feature selection (e.g. with Variable
 Importance in Projection or regression coefficients). The package can be
 accessed via a user interface on the Workflow4Metabolomics.org online
 resource for computational metabolomics (built upon the Galaxy environment).

Package: r-bioc-rtcgatoolbox
Architecture: all
Version: 2.38.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1148
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-cran-data.table, r-bioc-delayedarray, r-bioc-genomicranges, r-bioc-genomeinfodb, r-cran-httr, r-bioc-raggedexperiment, r-cran-rcurl, r-cran-rjsonio, r-cran-rvest, r-bioc-s4vectors, r-cran-stringr, r-bioc-summarizedexperiment, r-bioc-tcgautils
Suggests: r-bioc-biocstyle, r-bioc-homo.sapiens, r-cran-knitr, r-cran-readr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-rtcgatoolbox_2.38.0-1.ca2004.1_all.deb
Size: 569460
MD5sum: 661ae86f5145790f31c2f8a8fcb9efc5
SHA1: 9fa81f3508624bd0d1596b2a9b21c06a20b11b6e
SHA256: 0fa8c3f6c168f95e7da6db26d9f4b86f92e9c148bdaa89120da693b762c9ecfe
SHA512: f5eb7133faf786fb6ce916d6de2c73daa834e30853a419e965e5ad05ab3a66db4b8b91c27694b27d4029a100f069a6eea38a27a2109d8e475d881ab6cae24db7
Homepage: https://cran.r-project.org/package=RTCGAToolbox
Description: Bioc Package 'RTCGAToolbox' (A new tool for exporting TCGA Firehose data)
 Managing data from large scale projects such as The Cancer Genome Atlas
 (TCGA) for further analysis is an important and time consuming step for
 research projects. Several efforts, such as Firehose project, make TCGA
 pre-processed data publicly available via web services and data portals but
 it requires managing, downloading and preparing the data for following
 steps. We developed an open source and extensible R based data client for
 Firehose pre-processed data and demonstrated its use with sample case
 studies. Results showed that RTCGAToolbox could improve data management for
 researchers who are interested with TCGA data. In addition, it can be
 integrated with other analysis pipelines for following data analysis.

Package: r-bioc-ruvseq
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-edaseq, r-bioc-edger, r-cran-mass
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rcolorbrewer, r-bioc-zebrafishrnaseq, r-bioc-deseq2
Filename: pool/dists/focal/main/r-bioc-ruvseq_1.42.0-1.ca2004.1_all.deb
Size: 516764
MD5sum: ef5569e83a53b75baa62434998970da0
SHA1: e528f95597dc72e03716712977b06d5ff15e35d9
SHA256: b1b3809c9e964e90800eb84e906d25842171790d5bcefd0d0753134a0728387c
SHA512: 5e43640dbb60e81b3fa85682d3ba6c5ac299bbcfeef4ccd4b745ae7be5e9fa4c6cfada16750c3ae5d6cd7c8ddc1292f3c7c4903bf3caf121ae26ea5fbac0e81b
Homepage: https://cran.r-project.org/package=RUVSeq
Description: Bioc Package 'RUVSeq' (Remove Unwanted Variation from RNA-Seq Data)
 This package implements the remove unwanted variation (RUV) methods of Risso
 et al. (2014) for the normalization of RNA-Seq read counts between samples.

Package: r-bioc-rwikipathways
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6934
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-xml, r-cran-rjson, r-cran-data.table, r-cran-rcurl, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-stringr, r-cran-purrr, r-cran-lubridate
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-rwikipathways_1.28.0-1.ca2004.1_all.deb
Size: 1899388
MD5sum: 93116bf0d56acc8d7781c6146d2e7813
SHA1: d1b3e96038ced3f57d78acc22618db4cbd767028
SHA256: 0624918f1ac43419d407e3bcbab72c0ed1a3c3e7421a1cf403b47d27dfa3c991
SHA512: b9a705356a32159448765c64fa5332a460fdf469bc5f4ed17dc5949cee2603b106aac5af7c290ef1973f01cbbd39a83e1be2c8703ebd9b6e75c8a25a819d9ece
Homepage: https://cran.r-project.org/package=rWikiPathways
Description: Bioc Package 'rWikiPathways' (rWikiPathways - R client library for the WikiPathways API)
 Use this package to interface with the WikiPathways API. It provides
 programmatic access to WikiPathways content in multiple data and image
 formats, including official monthly release files and convenient GMT
 read/write functions.

Package: r-bioc-safe
Architecture: all
Version: 3.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1394
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-biobase, r-cran-sparsem
Suggests: r-bioc-go.db, r-bioc-pfam.db, r-bioc-reactome.db, r-bioc-hgu133a.db, r-bioc-breastcancerupp, r-cran-survival, r-cran-foreach, r-cran-dorng, r-bioc-rgraphviz, r-bioc-gostats
Filename: pool/dists/focal/main/r-bioc-safe_3.48.0-1.ca2004.1_all.deb
Size: 816448
MD5sum: eba1b9ca0ae1fe07a5024ce6186b14db
SHA1: da07f3b640d9ce17ba7db20bd55daa35debff212
SHA256: 58db1758140e90c77481d458e93107023f90c159dc0e46e424595da343954999
SHA512: f9c4fe31dae71d69ce76a39c09cf2f3893a70d4efedefd776017018fa158746b9e371e00d178373803321638d0429109c2a568a10181def9a56a2bc1ec35320e
Homepage: https://cran.r-project.org/package=safe
Description: Bioc Package 'safe' (Significance Analysis of Function and Expression)
 SAFE is a resampling-based method for testing functional categories in gene
 expression experiments. SAFE can be applied to 2-sample and multi-class
 comparisons, or simple linear regressions. Other experimental designs can
 also be accommodated through user-defined functions.

Package: r-bioc-sangerseqr
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5097
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-pwalign, r-cran-stringr, r-cran-shiny
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-sangerseqr_1.44.0-1.ca2004.1_all.deb
Size: 3034932
MD5sum: cafcb64c0075196035659e4bbc6d90ca
SHA1: 5934ac84284f070e0b623c9be92fe3964468c50d
SHA256: b7f8bb3b801153bcdc1a93ba5b406b11cd4a0e49b0f48630c9353ed13687e6b7
SHA512: 3a765043d219160480bbb8facd244f0dee2eb4850325aaeeaa3213122690b175eab43c25a524f185280e49072a286498ff6d1c34768fe45078703de36651692b
Homepage: https://cran.r-project.org/package=sangerseqR
Description: Bioc Package 'sangerseqR' (Tools for Sanger Sequencing Data in R)
 This package contains several tools for analyzing Sanger Sequencing data
 files in R, including reading .scf and .ab1 files, making basecalls and
 plotting chromatograms.

Package: r-bioc-saturn
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4430
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-locfdr, r-bioc-summarizedexperiment, r-bioc-biocparallel, r-bioc-limma, r-cran-pbapply, r-cran-ggplot2, r-cran-boot, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-bioc-biocstyle, r-bioc-annotationhub, r-bioc-ensembldb, r-bioc-edger, r-bioc-dexseq, r-bioc-stager, r-bioc-delayedarray
Filename: pool/dists/focal/main/r-bioc-saturn_1.16.0-1.ca2004.1_all.deb
Size: 3780164
MD5sum: dc7c536cd8aba94ba2b584aeea76e2f1
SHA1: 6393792c6e9f1216d0a79f9cf641850cdebd9564
SHA256: 11a519a806c7d5d44da6a9d339cf0ec62f3586e609f3618112635447413cf909
SHA512: 98273f68a2cb24577c5ff482e08cc9688685bfd6399c8dc30a8488163e6c577fc2899a9df748892ee6d6cd0e652ace0c5207158eb6bfba8cbe94b0f6d17f670f
Homepage: https://cran.r-project.org/package=satuRn
Description: Bioc Package 'satuRn' (Scalable Analysis of Differential Transcript Usage for Bulk andSingle-Cell RNA-sequencing Applications)
 satuRn provides a higly performant and scalable framework for performing
 differential transcript usage analyses. The package consists of three main
 functions. The first function, fitDTU, fits quasi-binomial generalized
 linear models that model transcript usage in different groups of interest.
 The second function, testDTU, tests for differential usage of transcripts
 between groups of interest. Finally, plotDTU visualizes the usage profiles
 of transcripts in groups of interest.

Package: r-bioc-scaledmatrix
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1416
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-bioc-s4vectors, r-bioc-delayedarray
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocsingular, r-bioc-delayedmatrixstats
Filename: pool/dists/focal/main/r-bioc-scaledmatrix_1.16.0-1.ca2004.1_all.deb
Size: 576916
MD5sum: c3c594d22c1ef89f6df02ceefcb1534c
SHA1: 838010ac7496743f916cbc94092498467eb18e73
SHA256: 4482d52c7d1a7aa3862925c62e1688c6e463df3450302dc21e799f6f453e6bea
SHA512: 1bc1d694764bf831f67b85a86254efc2c0d2d8869c942616972f03d889616612b1b8615c8f84f370273aeaf667da527d1b3529e54679fd4229999a62980e4ca6
Homepage: https://cran.r-project.org/package=ScaledMatrix
Description: Bioc Package 'ScaledMatrix' (Creating a DelayedMatrix of Scaled and Centered Values)
 Provides delayed computation of a matrix of scaled and centered values. The
 result is equivalent to using the scale() function but avoids explicit
 realization of a dense matrix during block processing. This permits greater
 efficiency in common operations, most notably matrix multiplication.

Package: r-bioc-scater
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6893
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-scuttle, r-cran-ggplot2, r-cran-matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-matrixgenerics, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-beachmat, r-bioc-biocneighbors, r-bioc-biocsingular, r-bioc-biocparallel, r-cran-rlang, r-cran-ggbeeswarm, r-cran-viridis, r-cran-rtsne, r-cran-rcolorbrewer, r-cran-rcppml, r-cran-uwot, r-cran-pheatmap, r-cran-ggrepel, r-cran-ggrastr
Suggests: r-bioc-biocstyle, r-bioc-delayedmatrixstats, r-bioc-snifter, r-bioc-densvis, r-cran-cowplot, r-bioc-biomart, r-cran-knitr, r-bioc-scrnaseq, r-cran-robustbase, r-cran-rmarkdown, r-cran-testthat, r-bioc-biobase, r-cran-scattermore
Filename: pool/dists/focal/main/r-bioc-scater_1.36.0-1.ca2004.1_all.deb
Size: 4852504
MD5sum: 116dd6aa74b3b8a1ab1e1a870582508e
SHA1: 2e0e3bb7fd3a0b4f9df8350e916486adf2599421
SHA256: 7b2d41f5ea262a5bb31303f0a4a2a091ef81a1dbfb73f708f9e7e1854a5b523a
SHA512: 9d394cba90fc57d535d8b150052d1063d3180a9306b18dbcf99c68d950225cd4f6fae7804fa26e5e83a122c4c6a01f7a688a0c8d3b23d4471ed0f4340fdba05f
Homepage: https://cran.r-project.org/package=scater
Description: Bioc Package 'scater' (Single-Cell Analysis Toolkit for Gene Expression Data in R)
 A collection of tools for doing various analyses of single-cell RNA-seq gene
 expression data, with a focus on quality control and visualization.

Package: r-bioc-scdblfinder
Architecture: all
Version: 1.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5273
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-cran-igraph, r-cran-matrix, r-bioc-biocgenerics, r-bioc-biocparallel, r-bioc-biocneighbors, r-bioc-biocsingular, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-scran, r-bioc-scater, r-bioc-scuttle, r-bioc-bluster, r-bioc-delayedarray, r-cran-xgboost, r-cran-mass, r-bioc-iranges, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-rsamtools, r-bioc-rtracklayer
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-scrnaseq, r-cran-circlize, r-bioc-complexheatmap, r-cran-ggplot2, r-cran-dplyr, r-cran-viridislite, r-bioc-mbkmeans
Filename: pool/dists/focal/main/r-bioc-scdblfinder_1.22.0-1.ca2004.1_all.deb
Size: 1335572
MD5sum: 11b42f66df8c646e6b9586e537223704
SHA1: 402d20762e73e4241c0ff1a9c0a7d628a717df1e
SHA256: 33d7fc98592d3a54332d492ed7436b8022da515289883e2254e1c613da29045c
SHA512: 98b3822bd86f9bc512a6504d106480f9fc4439956cd6f69bcee59094cd1bf66c6270ae0d0e6eee6b2bbb89e6a18e284c4c477d7ff32e45581dc77700d18ab65d
Homepage: https://cran.r-project.org/package=scDblFinder
Description: Bioc Package 'scDblFinder' (scDblFinder)
 The scDblFinder package gathers various methods for the detection and
 handling of doublets/multiplets in single-cell sequencing data (i.e.
 multiple cells captured within the same droplet or reaction volume). It
 includes methods formerly found in the scran package, the new fast and
 comprehensive scDblFinder method, and a reimplementation of the Amulet
 detection method for single-cell ATAC-seq.

Package: r-bioc-scrnaseq
Architecture: all
Version: 2.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1121
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-cran-matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-bioc-experimenthub, r-bioc-annotationhub, r-bioc-annotationdbi, r-bioc-ensembldb, r-bioc-genomicfeatures, r-bioc-alabaster.base, r-bioc-alabaster.matrix, r-bioc-alabaster.sce, r-bioc-gypsum, r-cran-jsonlite, r-cran-dbi, r-cran-rsqlite
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-jsonvalidate, r-cran-biocmanager
Filename: pool/dists/focal/main/r-bioc-scrnaseq_2.22.0-1.ca2004.1_all.deb
Size: 501192
MD5sum: d87bd3bc3518fc5c7dee74c9b8e81861
SHA1: 221ef93a17a45b4a5ae64098da6777486f946f7f
SHA256: 8c7fd2e47db978c7ed505c0c85d4ab808640dbfdd5706de14389c3bed4b59b74
SHA512: f9b7f3024a24c4a269ec986b2bd93acc1eb60cf5b2e5b3e2f260019cc9653724ae436691f8f1cdbed6eab98e7fa6b2b7bea2ea491190dd76106eadb65e9d5613
Homepage: https://cran.r-project.org/package=scRNAseq
Description: Bioc Package 'scRNAseq' (Collection of Public Single-Cell RNA-Seq Datasets)
 Gene-level counts for a collection of public scRNA-seq datasets, provided as
 SingleCellExperiment objects with cell- and gene-level metadata.

Package: r-bioc-seqlogo
Architecture: all
Version: 1.74.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1353
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-seqlogo_1.74.0-1.ca2004.1_all.deb
Size: 552308
MD5sum: e2e15215647567153e007da05a62d258
SHA1: e0688d97d27a2181fcf90f068d94e91d5293b8ea
SHA256: 5885cb9f0ced4fbf17bd3d6529e0b682559bb7c822211c69e8b7703a37dff9b5
SHA512: ad299bafd5ef699509a9b361f540bd05fc09d884cb0df7ec5c6acb4305536f66d30e8a92805792d4934eeae0ac59117ed59740cc6d5ef0bdff4bf05d895f46a8
Homepage: https://cran.r-project.org/package=seqLogo
Description: Bioc Package 'seqLogo' (Sequence logos for DNA sequence alignments)
 seqLogo takes the position weight matrix of a DNA sequence motif and plots
 the corresponding sequence logo as introduced by Schneider and Stephens
 (1990).

Package: r-bioc-seqpattern
Architecture: all
Version: 1.40.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3926
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-genomicranges, r-bioc-iranges, r-cran-kernsmooth, r-cran-plotrix
Suggests: r-bioc-bsgenome.drerio.ucsc.danrer7, r-bioc-cager, r-cran-runit, r-bioc-biocgenerics, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-seqpattern_1.40.0-1.ca2004.1_all.deb
Size: 3657204
MD5sum: c47deb548577ef6184a16819e7bb2acc
SHA1: f6dec7527159e04ab916af687fbe1b462ca4c291
SHA256: 8c23ca3971755ecf0aa595485b5b47a9c85dda0fb16df8db593ca4f7930950f5
SHA512: fb6339cf8765f982f62d606bff80b476a3adb0c47496b4ac332c711d97a892ad0e92beb9794061cc7331452d29c0a0a6964ade74698e33b855f194b0b4febccd
Homepage: https://cran.r-project.org/package=seqPattern
Description: Bioc Package 'seqPattern' (Visualising oligonucleotide patterns and motif occurrencesacross a set of sorted sequences)
 Visualising oligonucleotide patterns and sequence motifs occurrences across
 a large set of sequences centred at a common reference point and sorted by a
 user defined feature.

Package: r-bioc-seqvartools
Architecture: all
Version: 1.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1843
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-seqarray, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-gdsfmt, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-cran-gwasexacthw, r-cran-logistf, r-cran-matrix, r-cran-data.table
Suggests: r-bioc-biocstyle, r-cran-runit, r-cran-stringr
Filename: pool/dists/focal/main/r-bioc-seqvartools_1.46.0-1.ca2004.1_all.deb
Size: 1370632
MD5sum: e7408653468515f971643d9ca6aa097d
SHA1: 3175d79a1fdd4b46e63b90e995cc178e7d2dc4fc
SHA256: bd582999ef96543e3f34aaeb3da27b2290399947c9ebde42b8333d7d84f60c42
SHA512: 2f52931553a2f889a4cab8d76994ceb975fa3001fdbfdf58f84e9a24d63ab18c042a530a8d895ba34ceb550229ef60ec3e5f949dcded406de565207fd3454225
Homepage: https://cran.r-project.org/package=SeqVarTools
Description: Bioc Package 'SeqVarTools' (Tools for variant data)
 An interface to the fast-access storage format for VCF data provided in
 SeqArray, with tools for common operations and analysis.

Package: r-bioc-sesame
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 34652
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-sesamedata, r-bioc-biocparallel, r-cran-stringr, r-cran-readr, r-cran-tibble, r-cran-mass, r-cran-wheatmap, r-bioc-genomicranges, r-bioc-iranges, r-bioc-preprocesscore, r-bioc-s4vectors, r-cran-ggplot2, r-bioc-biocfilecache, r-bioc-genomeinfodb, r-bioc-summarizedexperiment, r-cran-dplyr, r-cran-reshape2
Suggests: r-cran-scales, r-cran-biocmanager, r-cran-knitr, r-bioc-dnacopy, r-cran-e1071, r-cran-randomforest, r-cran-rpmm, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-bioc-biocstyle, r-cran-ggrepel, r-cran-kernsmooth, r-cran-pals
Filename: pool/dists/focal/main/r-bioc-sesame_1.26.0-1.ca2004.1_all.deb
Size: 4125304
MD5sum: 1ca5f464581480f0a3a22462fd21e192
SHA1: 548e234e9922ff603e80bc4bb0d5f34fdf4d8e2a
SHA256: 98fa96c3a8cc100b20973a499b726690feb590b8fa604dab9392bcb7d5480617
SHA512: 95c8f4dd6466797880930764c902fffaf78adc473b11695741221f54effeb67f571cddbf28118c4a8ec2a56bf391c46f9d885cf3f860d76752cb24923f593847
Homepage: https://cran.r-project.org/package=sesame
Description: Bioc Package 'sesame' (SEnsible Step-wise Analysis of DNA MEthylation BeadChips)
 Tools For analyzing Illumina Infinium DNA methylation arrays. SeSAMe
 provides utilities to support analyses of multiple generations of Infinium
 DNA methylation BeadChips, including preprocessing, quality control,
 visualization and inference. SeSAMe features accurate detection calling,
 intelligent inference of ethnicity, sex and advanced quality control
 routines.

Package: r-bioc-sesamedata
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4216
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-experimenthub, r-bioc-annotationhub, r-cran-readr, r-cran-stringr, r-bioc-genomicranges, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb
Suggests: r-bioc-biocgenerics, r-bioc-sesame, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-sesamedata_1.26.0-1.ca2004.1_all.deb
Size: 1173092
MD5sum: 29fe21468408896e73f587ac45b2261f
SHA1: 5c08ac9989e46229f4c4bb6949821f38c5d2ca82
SHA256: 0248717a82a7b21e5f2dac9ac65102826c348a3639ac286820a7e6c73e14672b
SHA512: 30ca21c0eb994eebfd58439c1be84de415e2435a8bbddef69a4902f0d90d4f61464108edd0a22125c9a69b9b62cd922548aaefa4dde34e41b11e4e0605c200f9
Homepage: https://cran.r-project.org/package=sesameData
Description: Bioc Package 'sesameData' (Supporting Data for SeSAMe Package)
 Provides supporting annotation and test data for SeSAMe package. This
 includes chip tango addresses, mapping information, performance annotation,
 and trained predictor for Infinium array data. This package provides user
 access to essential annotation data for working with many generations of the
 Infinium DNA methylation array. Current we support human array (HM27, HM450,
 EPIC), mouse array (MM285) and the HorvathMethylChip40 (Mammal40) array.

Package: r-bioc-siggenes
Architecture: all
Version: 1.82.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1485
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-multtest, r-cran-scrime
Suggests: r-bioc-affy, r-bioc-annotate, r-bioc-genefilter, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-bioc-siggenes_1.82.0-1.ca2004.1_all.deb
Size: 1266908
MD5sum: 0cbefe2f75638d0f0da303403b3b49be
SHA1: f281a7967c71e774bdbf6208986bbbab0ff5b497
SHA256: 5cbf8d23b77f83bc565b26814682fde72948b2ffbf81c37197b84b90e1e4829c
SHA512: 00b26b7da29d92eafbc6335b48e4ccde0abce1b8a7cfa4abecdd8228a2dea28970c342b9b375b570787f21f20e87afb0eca741f7fb391948a5b2b28747f0af82
Homepage: https://cran.r-project.org/package=siggenes
Description: Bioc Package 'siggenes' (Multiple Testing using SAM and Efron's Empirical BayesApproaches)
 Identification of differentially expressed genes and estimation of the False
 Discovery Rate (FDR) using both the Significance Analysis of Microarrays
 (SAM) and the Empirical Bayes Analyses of Microarrays (EBAM).

Package: r-bioc-signaturesearchdata
Architecture: all
Version: 1.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2445
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-experimenthub, r-bioc-affy, r-bioc-limma, r-bioc-biobase, r-cran-magrittr, r-cran-dplyr, r-cran-r.utils, r-bioc-rhdf5
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-signaturesearchdata_1.22.0-1.ca2004.1_all.deb
Size: 569256
MD5sum: b841dbef265c64e1a0d737d8078502fe
SHA1: 33d4228419739e5815c046fc8e2d6f49561015e1
SHA256: 71e8cd2b502090ae47037087c66d7ac0aaf4068d1b16c2d77f958c857d10485b
SHA512: 6779e1ad951f74bf7803a185cc45ceba2972bb79535f522da943867001f173ad5bb466bd543bb9ac3ccc029791b6f4882cc9a9906fe5142a9802ce267961f12b
Homepage: https://cran.r-project.org/package=signatureSearchData
Description: Bioc Package 'signatureSearchData' (Datasets for signatureSearch package)
 CMAP/LINCS hdf5 databases and other annotations used for signatureSearch
 software package.

Package: r-bioc-simplifyenrichment
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1614
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-simona, r-bioc-complexheatmap, r-cran-circlize, r-cran-getoptlong, r-cran-digest, r-cran-tm, r-bioc-go.db, r-bioc-annotationdbi, r-cran-slam, r-cran-clue, r-cran-cluster, r-cran-colorspace, r-cran-globaloptions
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-cowplot, r-cran-mclust, r-cran-apcluster, r-cran-mcl, r-cran-dbscan, r-cran-igraph, r-cran-gridextra, r-cran-dynamictreecut, r-cran-testthat, r-cran-gridgraphics, r-cran-flexclust, r-cran-biocmanager, r-bioc-interactivecomplexheatmap, r-cran-shiny, r-cran-shinydashboard, r-bioc-cola, r-bioc-hu6800.db, r-cran-rmarkdown, r-bioc-genefilter, r-cran-gridtext, r-cran-fpc
Filename: pool/dists/focal/main/r-bioc-simplifyenrichment_2.2.0-1.ca2004.1_all.deb
Size: 1593564
MD5sum: cefc48cdcf71320f6dfabe5527ab2a1b
SHA1: 3993f88c9852cd17930baa8973be1ed52d59a04b
SHA256: 664de56edb826060921c5240b4a96b39921eb014c3851b10b47275ccaded0e04
SHA512: d256c95070955420960fb91d08564f82189b0b3e552ea87f3ca5573ec3c962d320e5f6aca204d8946cf71e20a13950a54c04a4503e1f1bc44ede0b8365a44e68
Homepage: https://cran.r-project.org/package=simplifyEnrichment
Description: Bioc Package 'simplifyEnrichment' (Simplify Functional Enrichment Results)
 A new clustering algorithm, "binary cut", for clustering similarity matrices
 of functional terms is implemeted in this package. It also provides
 functions for visualizing, summarizing and comparing the clusterings.

Package: r-bioc-singlecellexperiment
Architecture: all
Version: 1.30.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4194
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-delayedarray
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-matrix, r-bioc-scrnaseq, r-cran-rtsne
Filename: pool/dists/focal/main/r-bioc-singlecellexperiment_1.30.1-1.ca2004.1_all.deb
Size: 1088016
MD5sum: dc8c3b48f346794b86eaa8940b049bf9
SHA1: f3c67ee2cbaf3a47f1545be2cc25c1466af3ff46
SHA256: d79ea61ff828243926fae14fd7ed37877f79e509a9830c1bb062b3ee0e484c60
SHA512: 3721c0092d897e5c5a6db353f0a94494895afc5f046cf72c28910b79844f01d6436f81d4956970ef99de1d4c702491bac07bd3756aa8ec8fd8adce702790c228
Homepage: https://cran.r-project.org/package=SingleCellExperiment
Description: Bioc Package 'SingleCellExperiment' (S4 Classes for Single Cell Data)
 Defines a S4 class for storing data from single-cell experiments. This
 includes specialized methods to store and retrieve spike-in information,
 dimensionality reduction coordinates and size factors for each cell, along
 with the usual metadata for genes and libraries.

Package: r-bioc-singscore
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4625
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-bioc-gseabase, r-cran-plotly, r-cran-tidyr, r-cran-plyr, r-cran-magrittr, r-cran-reshape, r-bioc-edger, r-cran-rcolorbrewer, r-bioc-biobase, r-bioc-biocparallel, r-bioc-summarizedexperiment, r-cran-matrixstats, r-cran-reshape2, r-bioc-s4vectors
Suggests: r-cran-pkgdown, r-bioc-biocstyle, r-cran-hexbin, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-bioc-singscore_1.28.0-1.ca2004.1_all.deb
Size: 3608776
MD5sum: 300849d2fc8a56968ee75a52df1fbff6
SHA1: a724d84498b8478abd3fe268f6f2c2dc7e25ac4e
SHA256: 3e278602b35de286cec88c32a7218e124406b199e1c759998459cb0d682471ef
SHA512: 1fd9780ed30deb354b784b8cc63f2d33a487e338a4ff7b36e00356771118ea5f8a22ee3be88f02ae7f8176391ba5e345045fb78ba95683d6c7a2f7e8d2564a01
Homepage: https://cran.r-project.org/package=singscore
Description: Bioc Package 'singscore' (Rank-based single-sample gene set scoring method)
 A simple single-sample gene signature scoring method that uses rank-based
 statistics to analyze the sample's gene expression profile. It scores the
 expression activities of gene sets at a single-sample level.

Package: r-bioc-slingshot
Architecture: all
Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3676
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-princurve, r-bioc-trajectoryutils, r-cran-igraph, r-cran-matrixstats, r-bioc-s4vectors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment
Suggests: r-bioc-biocgenerics, r-bioc-biocstyle, r-bioc-clusterexperiment, r-bioc-delayedmatrixstats, r-cran-knitr, r-cran-mclust, r-cran-mgcv, r-cran-rcolorbrewer, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat, r-cran-uwot, r-cran-covr
Filename: pool/dists/focal/main/r-bioc-slingshot_2.16.0-1.ca2004.1_all.deb
Size: 1972580
MD5sum: 442b96ac266634aad426c4a800a65003
SHA1: 4810e143a0e61ed09d21e085979bd6e7329f2efa
SHA256: 17c573a95fe782fd52de0d7a54c6d2041da90882ad817df5617d359fb4abdff2
SHA512: cfe2947d745e58120156f68893b27e2ac2dce3f9c60354549c6ec878f952d00e79a8ab050292982df9f78f586209014eac7e74a03c9097aaaad9588c1480455c
Homepage: https://cran.r-project.org/package=slingshot
Description: Bioc Package 'slingshot' (Tools for ordering single-cell sequencing)
 Provides functions for inferring continuous, branching lineage structures in
 low-dimensional data. Slingshot was designed to model developmental
 trajectories in single-cell RNA sequencing data and serve as a component in
 an analysis pipeline after dimensionality reduction and clustering. It is
 flexible enough to handle arbitrarily many branching events and allows for
 the incorporation of prior knowledge through supervised graph construction.

Package: r-bioc-spatialexperiment
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7712
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-cran-rjson, r-cran-magick, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-biocgenerics, r-bioc-biocfilecache
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-biocstyle, r-bioc-bumpymatrix, r-bioc-dropletutils
Filename: pool/dists/focal/main/r-bioc-spatialexperiment_1.18.0-1.ca2004.1_all.deb
Size: 5095040
MD5sum: f7053117b821d6c801c62e0a8f6bc89a
SHA1: 8548de8c6e460669f530d29b1260edae04fa352b
SHA256: 5a007874aed109ff77f4f698756c84a89ce0de540067ee44cc56324714ed322e
SHA512: 024b0dbc62edf0bb2f38ed54fab15d0cb5ad244dc8e92172161ed3ad12df4af8eec5b05277e2aaac5e640296796f75aeddd92adb1abf0a657ad118c3ab681c4f
Homepage: https://cran.r-project.org/package=SpatialExperiment
Description: Bioc Package 'SpatialExperiment' (S4 Class for Spatially Resolved -omics Data)
 Defines an S4 class for storing data from spatial -omics experiments. The
 class extends SingleCellExperiment to support storage and retrieval of
 additional information from spot-based and molecule-based platforms,
 including spatial coordinates, images, and image metadata. A specialized
 constructor function is included for data from the 10x Genomics Visium
 platform.

Package: r-bioc-spectra
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5343
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-s4vectors, r-bioc-biocparallel, r-bioc-protgenerics, r-bioc-iranges, r-bioc-mscoreutils, r-cran-fs, r-bioc-biocgenerics, r-bioc-metabocoreutils
Suggests: r-cran-testthat, r-cran-knitr, r-bioc-msdata, r-cran-roxygen2, r-bioc-biocstyle, r-bioc-mzr, r-bioc-rhdf5, r-cran-rmarkdown, r-cran-vdiffr, r-cran-msentropy, r-cran-patrick
Filename: pool/dists/focal/main/r-bioc-spectra_1.18.0-1.ca2004.1_all.deb
Size: 1792412
MD5sum: 4f9bbdd776056046f752d97219bcd84a
SHA1: dda07b006353904bd156336f94b428b72ca2b8b8
SHA256: 194526980626530bc8f78be577729efe29e9080038ab44e8cc297ff8953f91ec
SHA512: 8f6fa73758eb55da3bf58d4cd3a218334b3bd2bd5d2221a5f8fe0df2ce81e318e5365b1fc702b831338a73868d7b8a6f57e57be51604187217d795dfc8aee9ce
Homepage: https://cran.r-project.org/package=Spectra
Description: Bioc Package 'Spectra' (Spectra Infrastructure for Mass Spectrometry Data)
 The Spectra package defines an efficient infrastructure for storing and
 handling mass spectrometry spectra and functionality to subset, process,
 visualize and compare spectra data. It provides different implementations
 (backends) to store mass spectrometry data. These comprise backends tuned
 for fast data access and processing and backends for very large data sets
 ensuring a small memory footprint.

Package: r-bioc-spia
Architecture: all
Version: 2.60.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4908
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-kegggraph
Suggests: r-bioc-graph, r-bioc-rgraphviz, r-bioc-hgu133plus2.db
Filename: pool/dists/focal/main/r-bioc-spia_2.60.0-1.ca2004.1_all.deb
Size: 2577524
MD5sum: fd532fa0fcb4f09b7360a785b24e4587
SHA1: db1b44615c4fb056d88470e614dcd96a42424da6
SHA256: 3a794a9dfcb7f606bf9edb2e682178d5f62e256265b295470ed5d7f824676a50
SHA512: 84c75d7150cdc6621fd109f76ee6ac3ce0b29b77a96f4a19db070aeb9861982c3f56fbd57c944ffc823ee87835b1de095e6b3418c2be3086468010f697480f21
Homepage: https://cran.r-project.org/package=SPIA
Description: Bioc Package 'SPIA' (Signaling Pathway Impact Analysis (SPIA) using combined evidenceof pathway over-representation and unusual signalingperturbations)
 This package implements the Signaling Pathway Impact Analysis (SPIA) which
 uses the information form a list of differentially expressed genes and their
 log fold changes together with signaling pathways topology, in order to
 identify the pathways most relevant to the condition under the study.

Package: r-bioc-splatter
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10518
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-biocgenerics, r-bioc-biocparallel, r-cran-checkmate, r-cran-crayon, r-bioc-edger, r-cran-fitdistrplus, r-cran-locfit, r-cran-matrixstats, r-cran-rlang, r-bioc-s4vectors, r-bioc-scuttle, r-bioc-summarizedexperiment, r-cran-withr
Suggests: r-bioc-basics, r-cran-biocmanager, r-bioc-biocsingular, r-bioc-biocstyle, r-bioc-biostrings, r-cran-covr, r-cran-cowplot, r-bioc-genomeinfodb, r-bioc-genomicranges, r-cran-ggplot2, r-cran-igraph, r-bioc-iranges, r-cran-knitr, r-cran-limsolve, r-cran-lme4, r-cran-magick, r-bioc-mfa, r-bioc-phenopath, r-bioc-preprocesscore, r-cran-progress, r-cran-pscl, r-cran-rmarkdown, r-cran-scales, r-bioc-scater, r-bioc-scdd, r-bioc-scran, r-cran-sparsedc, r-cran-spelling, r-cran-testthat, r-bioc-variantannotation, r-bioc-zinbwave
Filename: pool/dists/focal/main/r-bioc-splatter_1.32.0-1.ca2004.1_all.deb
Size: 6096808
MD5sum: cfccc2643fec853c0fb45af342aaddc7
SHA1: 373916a2061422cbe60f6baf0abb76af9dbb224a
SHA256: 5e71ad49a2bd1cc0c73408f12dc80d6ba575083ae55b4743c60319d1133ca27b
SHA512: 255610f03a14997f62694f77d73161e1c45c1b7c18a465443f550a99fd3bd7a73f260c45801aadfbe75301200439527fa0c2e77137da5b382e5114de7063e1f7
Homepage: https://cran.r-project.org/package=splatter
Description: Bioc Package 'splatter' (Simple Simulation of Single-cell RNA Sequencing Data)
 Splatter is a package for the simulation of single-cell RNA sequencing count
 data. It provides a simple interface for creating complex simulations that
 are reproducible and well-documented. Parameters can be estimated from real
 data and functions are provided for comparing real and simulated datasets.

Package: r-bioc-stringdb
Architecture: all
Version: 2.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10479
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-png, r-cran-sqldf, r-cran-plyr, r-cran-igraph, r-cran-httr, r-cran-rcolorbrewer, r-cran-gplots, r-cran-hash, r-cran-plotrix
Suggests: r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-stringdb_2.20.0-1.ca2004.1_all.deb
Size: 10623200
MD5sum: 2ecf21d24d749a252bc529fd2be2b1ae
SHA1: 048571206b2068919be37787f5c858d749e7d97d
SHA256: e392ff6480703e3835c894d26fbbe598458535f5926586ddf8ff3331a7f5e07b
SHA512: 9fff5987b730f7c25231d735c767d56c61ee1f0399f39305989b3773044164262f37a16a67f021d9a00107183bfcced48a8c097edf17556fbd92a01543c8211e
Homepage: https://cran.r-project.org/package=STRINGdb
Description: Bioc Package 'STRINGdb' (STRINGdb - Protein-Protein Interaction Networks and FunctionalEnrichment Analysis)
 The STRINGdb package provides a R interface to the STRING protein-protein
 interactions database (https://string-db.org).

Package: r-bioc-structuralvariantannotation
Architecture: all
Version: 1.24.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2736
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-rtracklayer, r-bioc-variantannotation, r-bioc-biocgenerics, r-cran-assertthat, r-bioc-biostrings, r-bioc-pwalign, r-cran-stringr, r-cran-dplyr, r-cran-rlang, r-bioc-genomicfeatures, r-bioc-iranges, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-genomeinfodb
Suggests: r-cran-ggplot2, r-cran-devtools, r-cran-testthat, r-cran-roxygen2, r-cran-rmarkdown, r-cran-tidyverse, r-cran-knitr, r-bioc-ggbio, r-bioc-biovizbase, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-bsgenome.hsapiens.ucsc.hg19
Filename: pool/dists/focal/main/r-bioc-structuralvariantannotation_1.24.0-1.ca2004.1_all.deb
Size: 1015068
MD5sum: 17b2c335f183bb6a1be5716b02bbe419
SHA1: e755d931b2404538e2b29c1ddf79a91294266f9a
SHA256: dc40523a869b2fdd8b7e9a2a73c4096e102465b422ce92d489b026b1c165c800
SHA512: f3a22271ccecdafd499d31facacab0ad5204bbb9c99e30eba819339882130a938bad987501f2f1d5b1039bd98d38718e60093031eec677f0039f85bb5b51a84d
Homepage: https://cran.r-project.org/package=StructuralVariantAnnotation
Description: Bioc Package 'StructuralVariantAnnotation' (Variant annotations for structural variants)
 StructuralVariantAnnotation provides a framework for analysis of structural
 variants within the Bioconductor ecosystem. This package contains contains
 useful helper functions for dealing with structural variants in VCF format.
 The packages contains functions for parsing VCFs from a number of popular
 callers as well as functions for dealing with breakpoints involving two
 separate genomic loci encoded as GRanges objects.

Package: r-bioc-summarizedexperiment
Architecture: all
Version: 1.38.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3976
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-matrixgenerics, r-bioc-genomicranges, r-bioc-biobase, r-cran-matrix, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-s4arrays, r-bioc-delayedarray
Suggests: r-cran-jsonlite, r-bioc-rhdf5, r-bioc-hdf5array, r-bioc-annotate, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-bioc-sparsearray, r-bioc-singlecellexperiment, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-hgu95av2.db, r-bioc-airway, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-runit, r-cran-testthat, r-cran-digest
Filename: pool/dists/focal/main/r-bioc-summarizedexperiment_1.38.1-1.ca2004.1_all.deb
Size: 1428100
MD5sum: 253649f35ccc2b118f428c77577755d3
SHA1: 2daf222f758c9cdda51775ed3b4771da433ed37f
SHA256: e434380f5ca30c874755b5b9bd4926b0d6bd8501b1ab3180b1328cfadc1d2f55
SHA512: 91161bf6ec4e4ea85f34c4e061d9f9cbf1cea5dd558522c10e99d022e9522c501f7454a372d80fb863340295951eb373b4c0ec2c899b1a782eeb32c1e0bfa079
Homepage: https://cran.r-project.org/package=SummarizedExperiment
Description: Bioc Package 'SummarizedExperiment' (A container (S4 class) for matrix-like assays)
 The SummarizedExperiment container contains one or more assays, each
 represented by a matrix-like object of numeric or other mode. The rows
 typically represent genomic ranges of interest and the columns represent
 samples.

Package: r-bioc-suprahex
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3856
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hexbin, r-cran-ape, r-cran-mass, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-magrittr, r-cran-igraph
Filename: pool/dists/focal/main/r-bioc-suprahex_1.42.0-1.ca2004.1_all.deb
Size: 3413396
MD5sum: 80ec2be61870af9de05a6ca8a6692475
SHA1: 907644eb6a182b52e5418fefe4f84cb377c7489e
SHA256: c9f7a411cf741455794457b1af6cb75cd47934201eb635a75bb4839e82dcbd1f
SHA512: 192fabdf326b73dbb94484d370546671b2768fe4018c2c8e83af1f32f83dfb3e1a00c28e9c15234d051b6141f58dee591db50a2f08f9b53d36f9065c26f8e3ab
Homepage: https://cran.r-project.org/package=supraHex
Description: Bioc Package 'supraHex' (supraHex: a supra-hexagonal map for analysing tabular omics data)
 A supra-hexagonal map is a giant hexagon on a 2-dimensional grid seamlessly
 consisting of smaller hexagons. It is supposed to train, analyse and
 visualise a high-dimensional omics input data. The supraHex is able to carry
 out gene clustering/meta-clustering and sample correlation, plus intuitive
 visualisations to facilitate exploratory analysis. More importantly, it
 allows for overlaying additional data onto the trained map to explore
 relations between input and additional data. So with supraHex, it is also
 possible to carry out multilayer omics data comparisons. Newly added
 utilities are advanced heatmap visualisation and tree-based analysis of
 sample relationships. Uniquely to this package, users can ultrafastly
 understand any tabular omics data, both scientifically and artistically,
 especially in a sample-specific fashion but without loss of information on
 large genes.

Package: r-bioc-systempiper
Architecture: all
Version: 2.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12610
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-rsamtools, r-bioc-biostrings, r-bioc-shortread, r-bioc-genomicranges, r-bioc-summarizedexperiment, r-cran-ggplot2, r-cran-yaml, r-cran-stringr, r-cran-magrittr, r-bioc-s4vectors, r-cran-crayon, r-bioc-biocgenerics, r-cran-htmlwidgets
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-systempiperdata, r-bioc-genomicalignments, r-cran-dplyr, r-cran-testthat, r-cran-rjson, r-bioc-annotate, r-bioc-annotationdbi, r-cran-kableextra, r-bioc-go.db, r-bioc-genomeinfodb, r-cran-dt, r-bioc-rtracklayer, r-bioc-limma, r-bioc-edger, r-bioc-deseq2, r-bioc-iranges, r-cran-batchtools, r-bioc-genomicfeatures, r-bioc-txdbmaker, r-bioc-variantannotation
Filename: pool/dists/focal/main/r-bioc-systempiper_2.14.0-1.ca2004.1_all.deb
Size: 5237168
MD5sum: 486fc128419c4a105640da6a562037db
SHA1: d16ecb0cf045b645a1e44889de5a44ede55cef44
SHA256: 09cd817d4eeadfabbb9860186d6ed1e692e5d06c16ec905cd9abc2fa1b4d131e
SHA512: 8acee91eb33661caba94e4e297a4cfca0eb9e6104f0d8e83f7ba28e8cf31b3081e0ef1be7de3a209fce04779a1e47ef3d5bbc9e0bbe9815c88a61127a2b34201
Homepage: https://cran.r-project.org/package=systemPipeR
Description: Bioc Package 'systemPipeR' (systemPipeR: Workflow Environment for Data Analysis and ReportGeneration)
 systemPipeR is a multipurpose data analysis workflow environment that
 unifies R with command-line tools. It enables scientists to analyze many
 types of large- or small-scale data on local or distributed computer systems
 with a high level of reproducibility, scalability and portability. At its
 core is a command-line interface (CLI) that adopts the Common Workflow
 Language (CWL). This design allows users to choose for each analysis step
 the optimal R or command-line software. It supports both end-to-end and
 partial execution of workflows with built-in restart functionalities.
 Efficient management of complex analysis tasks is accomplished by a flexible
 workflow control container class. Handling of large numbers of input samples
 and experimental designs is facilitated by consistent sample annotation
 mechanisms. As a multi-purpose workflow toolkit, systemPipeR enables users
 to run existing workflows, customize them or design entirely new ones while
 taking advantage of widely adopted data structures within the Bioconductor
 ecosystem. Another important core functionality is the generation of
 reproducible scientific analysis and technical reports. For result
 interpretation, systemPipeR offers a wide range of plotting functionality,
 while an associated Shiny App offers many useful functionalities for
 interactive result exploration. The vignettes linked from this page include
 (1) a general introduction, (2) a description of technical details, and (3)
 a collection of workflow templates.

Package: r-bioc-tcc
Architecture: all
Version: 1.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3986
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-deseq2, r-bioc-edger, r-bioc-roc
Suggests: r-cran-runit, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-bioc-tcc_1.48.0-1.ca2004.1_all.deb
Size: 3549544
MD5sum: fc073fc80efb2cbc082422d566a367f6
SHA1: 8909503d6fa588e76af995486c5eccdfd3d63efa
SHA256: 14cfdc0d559735126ac36a984db5d81beac57f37e8ca5abb50c04e161550e921
SHA512: 17ed40f0235125a0494913ab4abfe35e77687e0c97d2135931268a9741519dc468a4becdd5e8a0aacebdfa77fd3b8a29c1793fb699501b75051ec92ad897d40f
Homepage: https://cran.r-project.org/package=TCC
Description: Bioc Package 'TCC' (TCC: Differential expression analysis for tag count data withrobust normalization strategies)
 This package provides a series of functions for performing differential
 expression analysis from RNA-seq count data using robust normalization
 strategy (called DEGES). The basic idea of DEGES is that potential
 differentially expressed genes or transcripts (DEGs) among compared samples
 should be removed before data normalization to obtain a well-ranked gene
 list where true DEGs are top-ranked and non-DEGs are bottom ranked. This can
 be done by performing a multi-step normalization strategy (called DEGES for
 DEG elimination strategy). A major characteristic of TCC is to provide the
 robust normalization methods for several kinds of count data (two-group with
 or without replicates, multi-group/multi-factor, and so on) by virtue of the
 use of combinations of functions in depended packages.

Package: r-bioc-tcgabiolinks
Architecture: all
Version: 2.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110193
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-downloader, r-bioc-biomart, r-cran-dplyr, r-cran-tibble, r-bioc-genomicranges, r-cran-xml, r-cran-data.table, r-cran-jsonlite, r-cran-plyr, r-cran-knitr, r-cran-ggplot2, r-cran-stringr, r-bioc-iranges, r-cran-rvest, r-bioc-s4vectors, r-cran-r.utils, r-bioc-summarizedexperiment, r-bioc-tcgabiolinksgui.data, r-cran-readr, r-cran-tidyr, r-cran-purrr, r-cran-xml2, r-cran-httr
Suggests: r-cran-jpeg, r-cran-png, r-bioc-biocstyle, r-cran-rmarkdown, r-cran-devtools, r-bioc-maftools, r-cran-parmigene, r-cran-c3net, r-bioc-minet, r-bioc-biobase, r-bioc-affy, r-cran-testthat, r-bioc-sesame, r-bioc-annotationhub, r-bioc-experimenthub, r-bioc-pathview, r-bioc-clusterprofiler, r-cran-seurat, r-bioc-complexheatmap, r-cran-circlize, r-bioc-consensusclusterplus, r-cran-igraph, r-bioc-limma, r-bioc-edger, r-bioc-sva, r-bioc-edaseq, r-cran-survminer, r-bioc-genefilter, r-cran-gridextra, r-cran-survival, r-cran-doparallel, r-cran-ggrepel, r-cran-scales, r-cran-dt
Filename: pool/dists/focal/main/r-bioc-tcgabiolinks_2.36.0-1.ca2004.1_all.deb
Size: 37376564
MD5sum: fa3b9512fd44a22de0dac4c35ba822ac
SHA1: eb29982a42d2b22827180e53b78d9e103348848a
SHA256: 1553e77395d74b757daa229edb886b3d006db006ca1484c54a128d9dcc18d218
SHA512: 52f1cae8f42b771732883aded51a06dbf612ebb97617b7e1e0e92f3caaef76a9e16f68d38f07b87255e0630def731f3befbb989973148419b041f03744d4a08c
Homepage: https://cran.r-project.org/package=TCGAbiolinks
Description: Bioc Package 'TCGAbiolinks' (TCGAbiolinks: An R/Bioconductor package for integrative analysiswith GDC data)
 The aim of TCGAbiolinks is : i) facilitate the GDC open-access data
 retrieval, ii) prepare the data using the appropriate pre-processing
 strategies, iii) provide the means to carry out different standard analyses
 and iv) to easily reproduce earlier research results. In more detail, the
 package provides multiple methods for analysis (e.g., differential
 expression analysis, identifying differentially methylated regions) and
 methods for visualization (e.g., survival plots, volcano plots, starburst
 plots) in order to easily develop complete analysis pipelines.

Package: r-bioc-tcgabiolinksgui.data
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 23169
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-readr, r-cran-dt
Filename: pool/dists/focal/main/r-bioc-tcgabiolinksgui.data_1.28.0-1.ca2004.1_all.deb
Size: 22781952
MD5sum: b868086ae84a54d7194f940086c82593
SHA1: b37b4e43a8c2fdb7d91a2f07b886d17eafa33530
SHA256: 739a42402fbb6a0a2fc50a39c01bcf17cf2c4b08a6234290fa96a62b76ee83d1
SHA512: 4baddef4e1f5e08d6f0f63f263c49d4dc898fd6bae7398644ea1a2ee09a687bae9196fc4b598c353f3913347b49cb12387cabb4dcdc0109bba3856100eb3f9d6
Homepage: https://cran.r-project.org/package=TCGAbiolinksGUI.data
Description: Bioc Package 'TCGAbiolinksGUI.data' (Data for the TCGAbiolinksGUI package)
 Supporting data for the TCGAbiolinksGUI package.

Package: r-bioc-tcgautils
Architecture: all
Version: 1.28.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1114
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-biocgenerics, r-bioc-biocbaseutils, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-genomicranges, r-bioc-genomicdatacommons, r-bioc-iranges, r-bioc-multiassayexperiment, r-bioc-raggedexperiment, r-cran-rvest, r-bioc-s4vectors, r-cran-stringr, r-bioc-summarizedexperiment, r-cran-xml2
Suggests: r-bioc-annotationhub, r-bioc-biocstyle, r-bioc-curatedtcgadata, r-bioc-complexheatmap, r-cran-devtools, r-cran-dplyr, r-cran-httr, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-impute, r-cran-knitr, r-cran-magrittr, r-bioc-mirbase.db, r-bioc-org.hs.eg.db, r-cran-rcolorbrewer, r-cran-readr, r-cran-rmarkdown, r-bioc-rtcgatoolbox, r-bioc-rtracklayer, r-cran-r.utils, r-cran-testthat, r-bioc-txdb.hsapiens.ucsc.hg18.knowngene, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene
Filename: pool/dists/focal/main/r-bioc-tcgautils_1.28.0-1.ca2004.1_all.deb
Size: 498192
MD5sum: 085e007202cf037990c9f525adcfc05b
SHA1: 91b0e9ec1e950473afa58bb306b546bfab996557
SHA256: 26c3300c6be26d6dd22794c40cd2f1cea1669ce1027834246357a428a581d2d3
SHA512: 72cf82ae1870f593c77573585281c1e7d4d82e5df3c7b142d285333ecce03063a711d1012362842d07eaa7dbedddd64cf87952aef32825d7a500d5b992e2da99
Homepage: https://cran.r-project.org/package=TCGAutils
Description: Bioc Package 'TCGAutils' (TCGA utility functions for data management)
 A suite of helper functions for checking and manipulating TCGA data
 including data obtained from the curatedTCGAData experiment package. These
 functions aim to simplify and make working with TCGA data more manageable.
 Exported functions include those that import data from flat files into
 Bioconductor objects, convert row annotations, and identifier translation
 via the GDC API.

Package: r-bioc-tcseq
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 931
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-edger, r-bioc-biocgenerics, r-cran-reshape2, r-bioc-genomicranges, r-bioc-iranges, r-bioc-summarizedexperiment, r-bioc-genomicalignments, r-bioc-rsamtools, r-cran-e1071, r-cran-cluster, r-cran-ggplot2, r-cran-locfit
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-tcseq_1.32.0-1.ca2004.1_all.deb
Size: 856712
MD5sum: 2328974c23579c0a64c1335914d6a20f
SHA1: 3fe49536afebfb572baeacd09f5b469de410671a
SHA256: 667223327afa92be7e11b31ce99edfc23edc3684ca91b7f739e99b200fef1c33
SHA512: 65dda047a2591bbf1258cd9ec11a5f7978580857b75d5c2f7c4da4092c8ca07348eb7b71e0ef1a7a29d95f31a5179f00d531943735d772aff7caf77b82889ace
Homepage: https://cran.r-project.org/package=TCseq
Description: Bioc Package 'TCseq' (Time course sequencing data analysis)
 Quantitative and differential analysis of epigenomic and transcriptomic time
 course sequencing data, clustering analysis and visualization of the
 temporal patterns of time course data.

Package: r-bioc-tkwidgets
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-widgettools, r-bioc-dyndoc
Suggests: r-bioc-biobase, r-bioc-hgu95av2
Filename: pool/dists/focal/main/r-bioc-tkwidgets_1.86.0-1.ca2004.1_all.deb
Size: 653396
MD5sum: f094af1cf609193fb38a0f08b5267ed8
SHA1: 826c01b9032a426cffa4719facd0dcda81bf8350
SHA256: 5d0308f0a2a25665227c490dbad3576103a57b8a605b03944698677059b8ff5b
SHA512: 8665e94eaeb5f3a188138d4c152857235fe0742cb433eca2b2dc926decabc8310a595ab0fbb803f0de71345ebb31f36f85faba802b6536e87e11ea7991a53199
Homepage: https://cran.r-project.org/package=tkWidgets
Description: Bioc Package 'tkWidgets' (R based tk widgets)
 Widgets to provide user interfaces. tcltk should have been installed for the
 widgets to run.

Package: r-bioc-topconfects
Architecture: all
Version: 1.24.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5524
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-ggplot2, r-cran-scales
Suggests: r-bioc-limma, r-bioc-edger, r-cran-statmod, r-bioc-deseq2, r-cran-ashr, r-cran-nbpseq, r-cran-dplyr, r-cran-testthat, r-cran-reshape2, r-cran-tidyr, r-cran-readr, r-bioc-org.at.tair.db, r-bioc-annotationdbi, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-topconfects_1.24.0-1.ca2004.1_all.deb
Size: 3869772
MD5sum: 7eb9dab00ca18d7ea36c5732098ef965
SHA1: d9298ed2b6b62b1e82fbf8848f95f1b5914aeb34
SHA256: 271971e5df8964ab9cfada5ce855b1985cb3a725939564bd16b7748245d5b634
SHA512: 7504bacd01a53935e1daac0df2c2a60f56c18cb14326d7d1ef420b312aa8e47168113d43b8d85f478fd6464c47c639f632b624c7485b16db21dc80230b6e47be
Homepage: https://cran.r-project.org/package=topconfects
Description: Bioc Package 'topconfects' (Top Confident Effect Sizes)
 Rank results by confident effect sizes, while maintaining False Discovery
 Rate and False Coverage-statement Rate control. Topconfects is an
 alternative presentation of TREAT results with improved usability,
 eliminating p-values and instead providing confidence bounds. The main
 application is differential gene expression analysis, providing genes ranked
 in order of confident log2 fold change, but it can be applied to any
 collection of effect sizes with associated standard errors.

Package: r-bioc-topgo
Architecture: all
Version: 2.59.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2581
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-graph, r-bioc-biobase, r-bioc-go.db, r-bioc-annotationdbi, r-cran-sparsem, r-cran-lattice, r-cran-matrixstats, r-cran-dbi
Suggests: r-bioc-all, r-bioc-hgu95av2.db, r-bioc-hgu133a.db, r-bioc-genefilter, r-cran-xtable, r-bioc-multtest, r-bioc-rgraphviz, r-bioc-globaltest
Filename: pool/dists/focal/main/r-bioc-topgo_2.59.0-1.ca2004.1_all.deb
Size: 2177548
MD5sum: 805bac57dca7cc0ebdd82c6e346cfda4
SHA1: c55eaa91f6e2fbba9a09e4cae7f594a1a9dbd678
SHA256: 72d9ca79c7f7b12e741cee11c225e9a9b0027d506e73907aafd7e1e1dd51a815
SHA512: badeb0e28fb87defb9415dcea673b326a64f2071689fae698f1f5bd8680f90c9d9073d1063d99bb2b4f9730b9f2abe3fa0a10bb6a399b70082cf35e1614d1910
Homepage: https://cran.r-project.org/package=topGO
Description: Bioc Package 'topGO' (Enrichment Analysis for Gene Ontology)
 topGO package provides tools for testing GO terms while accounting for the
 topology of the GO graph. Different test statistics and different methods
 for eliminating local similarities and dependencies between GO terms can be
 implemented and applied.

Package: r-bioc-toxicogx
Architecture: all
Version: 2.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4830
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-coregx, r-bioc-summarizedexperiment, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-biobase, r-bioc-biocparallel, r-cran-ggplot2, r-cran-tibble, r-cran-dplyr, r-cran-catools, r-cran-downloader, r-cran-magrittr, r-cran-reshape2, r-cran-tidyr, r-cran-data.table, r-cran-assertthat, r-cran-scales, r-bioc-limma, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-tinytex, r-cran-devtools, r-bioc-pharmacogx, r-cran-xtable, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-toxicogx_2.12.0-1.ca2004.1_all.deb
Size: 4534280
MD5sum: 06887c253dfefbfdf94e2e1c4d19874d
SHA1: 250d30e710070288a73a5b3f77d2995394100659
SHA256: 1b52d7119911b11da478f1cc9d9864124a51800377ac034fb211689d1eacbea7
SHA512: 36e707139b634e1ffb7c6fe84ba544429f714e9580e27105dabaa8196d574211eb745f7e196495c32f3df8f76bc73d5e55299eae51912feb54bbe8464f011a99
Homepage: https://cran.r-project.org/package=ToxicoGx
Description: Bioc Package 'ToxicoGx' (Analysis of Large-Scale Toxico-Genomic Data)
 Contains a set of functions to perform large-scale analysis of toxicogenomic
 data, providing a standardized data structure to hold information relevant
 to annotation, visualization and statistical analysis of toxicogenomic data.

Package: r-bioc-trackviewer
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 19988
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-genomicalignments, r-bioc-genomicfeatures, r-bioc-gviz, r-bioc-rsamtools, r-bioc-s4vectors, r-bioc-rtracklayer, r-bioc-biocgenerics, r-cran-scales, r-bioc-iranges, r-bioc-annotationdbi, r-cran-grimport, r-cran-htmlwidgets, r-bioc-interactionset, r-bioc-rhdf5, r-cran-strawr, r-bioc-txdbmaker
Suggests: r-bioc-biomart, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-runit, r-bioc-org.hs.eg.db, r-bioc-biocstyle, r-cran-knitr, r-bioc-variantannotation, r-cran-httr, r-cran-htmltools, r-cran-rmarkdown, r-bioc-motifstack
Filename: pool/dists/focal/main/r-bioc-trackviewer_1.44.0-1.ca2004.1_all.deb
Size: 9303764
MD5sum: 84686cd054e9c30f428428aae8d14dcd
SHA1: f2365585e7147165fb1d1484f72e7e12ddb8caee
SHA256: 6b695155fd95dc71b015b5db10785b66e6a4a99811162c175409970674772978
SHA512: 6c7f8a3633e7916d54cef54bc91bc155906a12dc59bc4eec16de495abf3b549d9d839786fbd8afd3b446da03032314f94fe37656b3f6a87a4ada7ba2202b92ac
Homepage: https://cran.r-project.org/package=trackViewer
Description: Bioc Package 'trackViewer' (A R/Bioconductor package with web interface for drawing elegantinteractive tracks or lollipop plot to facilitate integratedanalysis of multi-omics data)
 Visualize mapped reads along with annotation as track layers for NGS dataset
 such as ChIP-seq, RNA-seq, miRNA-seq, DNA-seq, SNPs and methylation data.

Package: r-bioc-trajectoryutils
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1257
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-cran-matrix, r-cran-igraph, r-bioc-s4vectors, r-bioc-summarizedexperiment
Suggests: r-bioc-biocneighbors, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-biocparallel, r-cran-testthat, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-trajectoryutils_1.16.0-1.ca2004.1_all.deb
Size: 503480
MD5sum: 2d814a8514cdd1aac2908fe0b429c734
SHA1: 4ee017e26fa17a89fc6e5f3b483b1a5c196d02d3
SHA256: ca01318550d8abae06ac5aff6f1a37eec1c339c6176906bb651db022834e8407
SHA512: 79ae8056aac8c1f0e30ac40b988709ff9908dbe2da8d51f761e40c9fdfbc6943123ca1b2d0a3df21b41c74d607f750f7e45d6f693616869de1cdc8e4ec8940f8
Homepage: https://cran.r-project.org/package=TrajectoryUtils
Description: Bioc Package 'TrajectoryUtils' (Single-Cell Trajectory Analysis Utilities)
 Implements low-level utilities for single-cell trajectory analysis,
 primarily intended for re-use inside higher-level packages. Include a
 function to create a cluster-level minimum spanning tree and data structures
 to hold pseudotime inference results.

Package: r-bioc-treeio
Architecture: all
Version: 1.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3823
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidytree, r-cran-yulab.utils
Suggests: r-bioc-biostrings, r-cran-cli, r-cran-ggplot2, r-bioc-ggtree, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-phangorn, r-cran-prettydoc, r-cran-purrr, r-cran-testthat, r-cran-tidyr, r-cran-vroom, r-cran-xml2, r-cran-yaml
Filename: pool/dists/focal/main/r-bioc-treeio_1.32.0-1.ca2004.1_all.deb
Size: 709016
MD5sum: a3f078b7030d327d6e763bef84ff1b96
SHA1: 04a5c26c36c41cf4c9a7db24a96d62f707b963c9
SHA256: 56c8829a8924ddde6eeb265b6bbf7f3bd086b2179bc8128420e8f02ddfff57c4
SHA512: fdcf5c5b3331cc302c5202ffb8277784f15e53dd0b70479ad4cd31763b01c9704647c40446df8e1943ec0df96c6c8d896a75ee2461b9237247994b43151536c4
Homepage: https://cran.r-project.org/package=treeio
Description: Bioc Package 'treeio' (Base Classes and Functions for Phylogenetic Tree Input andOutput)
 'treeio' is an R package to make it easier to import and store phylogenetic
 tree with associated data; and to link external data from different sources
 to phylogeny. It also supports exporting phylogenetic tree with
 heterogeneous associated data to a single tree file and can be served as a
 platform for merging tree with associated data and converting file formats.

Package: r-bioc-treesummarizedexperiment
Architecture: all
Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3119
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-s4vectors, r-bioc-biostrings, r-bioc-biocgenerics, r-cran-ape, r-cran-rlang, r-cran-dplyr, r-bioc-summarizedexperiment, r-bioc-biocparallel, r-bioc-iranges, r-bioc-treeio
Suggests: r-bioc-ggtree, r-cran-ggplot2, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-bioc-treesummarizedexperiment_2.16.0-1.ca2004.1_all.deb
Size: 1351348
MD5sum: 5464508a0681170c7d79d6c8c433fbd5
SHA1: dd7f9e8459d9abccecc9d4f7ba866326525ec85a
SHA256: d707d0ccd56a81e434d38322fe81e67d76f89d8a30e934078bb7169055a62080
SHA512: b50d7b65707a0014419e5ce6b3216fa755faa0a0e9510ae0557332f06fbe687e60284cd79165e1d9ce69e78115d74d370c5ab64d9baf9787d4ec1f96b9acfeea
Homepage: https://cran.r-project.org/package=TreeSummarizedExperiment
Description: Bioc Package 'TreeSummarizedExperiment' (TreeSummarizedExperiment: a S4 Class for Data with TreeStructures)
 TreeSummarizedExperiment has extended SingleCellExperiment to include
 hierarchical information on the rows or columns of the rectangular data.

Package: r-bioc-trio
Architecture: all
Version: 3.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1788
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-bioc-siggenes, r-cran-logicreg, r-cran-data.table
Suggests: r-cran-haplo.stats, r-cran-mcbiopi, r-bioc-logicfs, r-cran-kernsmooth, r-bioc-variantannotation
Filename: pool/dists/focal/main/r-bioc-trio_3.46.0-1.ca2004.1_all.deb
Size: 1706224
MD5sum: 3fe539be30d21660d5237dba18cd4bee
SHA1: b2bd605122b2b7f9a55d6a7cd8b519eea334cc41
SHA256: 79775e258b08a05be6cf411dff515d7b74dabdb56124ef7f6c367880b94be679
SHA512: 92434fd0bc2d6ac45e630ce1696bcff7d8f91500e3783f758dc7a60444e45985a73d543422756502fb2785c12cc30ff239a52cac377ef67dad5182fa9d79dcdd
Homepage: https://cran.r-project.org/package=trio
Description: Bioc Package 'trio' (Testing of SNPs and SNP Interactions in Case-Parent Trio Studies)
 Testing SNPs and SNP interactions with a genotypic TDT. This package
 furthermore contains functions for computing pairwise values of LD measures
 and for identifying LD blocks, as well as functions for setting up matched
 case pseudo-control genotype data for case-parent trios in order to run trio
 logic regression, for imputing missing genotypes in trios, for simulating
 case-parent trios with disease risk dependent on SNP interaction, and for
 power and sample size calculation in trio data.

Package: r-bioc-tscan
Architecture: all
Version: 1.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3026
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-trajectoryutils, r-cran-ggplot2, r-cran-shiny, r-cran-plyr, r-cran-fastica, r-cran-igraph, r-cran-combinat, r-cran-mgcv, r-cran-mclust, r-cran-gplots, r-cran-matrix, r-bioc-summarizedexperiment, r-bioc-sparsearray, r-bioc-delayedarray, r-bioc-s4vectors
Suggests: r-cran-knitr, r-cran-testthat, r-bioc-scuttle, r-bioc-scran, r-bioc-metapod, r-bioc-biocparallel, r-bioc-biocneighbors, r-bioc-batchelor
Filename: pool/dists/focal/main/r-bioc-tscan_1.46.0-1.ca2004.1_all.deb
Size: 2890504
MD5sum: fb0b180c2282ea887e04e7ffbffda309
SHA1: 3a27e18a002a3f3a6fe9480a10f706a58b0c1b01
SHA256: 0fab57ae5af421b25bd0f1cd5a939fb206315e282ba85d662fbe3d750c4a0156
SHA512: ae55d2ebd43dad4d3f091bf04d0cfacbd484c120eb9d3ab2de06cd4c50b4d74c095640caefb7954cac9344b1eb645cee92226a51eb06badb7f05a16bb1dcd164
Homepage: https://cran.r-project.org/package=TSCAN
Description: Bioc Package 'TSCAN' (Tools for Single-Cell Analysis)
 Provides methods to perform trajectory analysis based on a minimum spanning
 tree constructed from cluster centroids. Computes pseudotemporal cell
 orderings by mapping cells in each cluster (or new cells) to the closest
 edge in the tree. Uses linear modelling to identify differentially expressed
 genes along each path through the tree. Several plotting and interactive
 visualization functions are also implemented.

Package: r-bioc-txdb.hsapiens.ucsc.hg19.knowngene
Architecture: all
Version: 3.2.2-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47194
Depends: r-base-core (>= 4.2.3), r-api-4.0, r-bioc-genomicfeatures, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-bioc-txdb.hsapiens.ucsc.hg19.knowngene_3.2.2-1.ca2004.2_all.deb
Size: 7951312
MD5sum: c05c9f58594af9da105f16398978b250
SHA1: 8f259fc4d92d4a31343ee0ace5f692cf06d7abf3
SHA256: 335ebd7231bdab9974b1176258604b42a291b660934590ba987ca57954ca6c5a
SHA512: 45d65db31959b67776433a527ec72d1c081526d77af4a01d032b4025ee84c340a3533e868664cd1e2c9148ee708ca43ba39780456c37188b0f11a8a1ed083a30
Homepage: https://cran.r-project.org/package=TxDb.Hsapiens.UCSC.hg19.knownGene
Description: Bioc Package 'TxDb.Hsapiens.UCSC.hg19.knownGene' (Annotation package for TxDb object(s))
 Exposes an annotation databases generated from UCSC by exposing these as
 TxDb objects

Package: r-bioc-txdb.hsapiens.ucsc.hg38.knowngene
Architecture: all
Version: 3.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150160
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-genomicfeatures, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-bioc-txdb.hsapiens.ucsc.hg38.knowngene_3.21.0-1.ca2004.1_all.deb
Size: 26122448
MD5sum: 1af56aa5e990bc8d1adea15fe94b20c2
SHA1: 3702a1b21be7712ebea9f7a16c4e4766291816f3
SHA256: 7821f9cad76a78254bc6850ca34036fd9a71c11e06d1aec65e848591b5ba3fe3
SHA512: 87108d74fe6732caa2addcd7dae57c586e8372fff32b9153f552e240de192078f84620dc512b465c71c994a17b2e893acb25c75097e9e128cd5d2ee2613602e2
Homepage: https://cran.r-project.org/package=TxDb.Hsapiens.UCSC.hg38.knownGene
Description: Bioc Package 'TxDb.Hsapiens.UCSC.hg38.knownGene' (Annotation package for TxDb object(s))
 Exposes an annotation databases generated from UCSC by exposing these as
 TxDb objects

Package: r-bioc-txdb.mmusculus.ucsc.mm10.knowngene
Architecture: all
Version: 3.10.0-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59884
Depends: r-base-core (>= 4.2.3), r-api-4.0, r-bioc-genomicfeatures, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-bioc-txdb.mmusculus.ucsc.mm10.knowngene_3.10.0-1.ca2004.2_all.deb
Size: 11203032
MD5sum: 61dfdabdb5c82fcd170d90458d797271
SHA1: 992b37df57421c07511b78149f760406683de21b
SHA256: 724617b5a3ac33dc435bf64517e82e05c89ee9648593b242b5d2e4791c041539
SHA512: b30cf24297e12042174b778c46c22ababd5e953621d41b7360064b68ac2d2847301b369d1abe69be3d61b6b03929bc689c715d0761eea5eb6cb2701ac1591e90
Homepage: https://cran.r-project.org/package=TxDb.Mmusculus.UCSC.mm10.knownGene
Description: Bioc Package 'TxDb.Mmusculus.UCSC.mm10.knownGene' (Annotation package for TxDb object(s))
 Exposes an annotation databases generated from UCSC by exposing these as
 TxDb objects

Package: r-bioc-txdbmaker
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3672
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-s4vectors, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-genomicfeatures, r-cran-httr, r-cran-rjson, r-cran-dbi, r-cran-rsqlite, r-bioc-iranges, r-bioc-ucsc.utils, r-bioc-annotationdbi, r-bioc-biobase, r-bioc-biocio, r-bioc-rtracklayer, r-bioc-biomart
Suggests: r-cran-rmariadb, r-bioc-mirbase.db, r-bioc-ensembldb, r-cran-runit, r-bioc-biocstyle, r-cran-knitr
Filename: pool/dists/focal/main/r-bioc-txdbmaker_1.4.1-1.ca2004.1_all.deb
Size: 926320
MD5sum: c00e1394492725a85ebb0a29d94489b4
SHA1: 743b2a9fb1ed84661e4747aeff6ff771adf39c42
SHA256: 53c6e0b2877b8809bff0c3b5be60c3c2860582bbf6da941c40f67501f2165651
SHA512: 09e05be1d97db9a11655cf6548c90d4b4da0acf7e188a2f7bb3489718ea1588f86e16ccbbecf912397e310b85c1244e1f055d8b77572b581fec8f70257614725
Homepage: https://cran.r-project.org/package=txdbmaker
Description: Bioc Package 'txdbmaker' (Tools for making TxDb objects from genomic annotations)
 A set of tools for making TxDb objects from genomic annotations from various
 sources (e.g. UCSC, Ensembl, and GFF files). These tools allow the user to
 download the genomic locations of transcripts, exons, and CDS, for a given
 assembly, and to import them in a TxDb object. TxDb objects are implemented
 in the GenomicFeatures package, together with flexible methods for
 extracting the desired features in convenient formats.

Package: r-bioc-tximeta
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2110
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-bioc-tximport, r-cran-jsonlite, r-bioc-s4vectors, r-bioc-iranges, r-bioc-genomicranges, r-bioc-annotationdbi, r-bioc-genomicfeatures, r-bioc-txdbmaker, r-bioc-ensembldb, r-bioc-biocfilecache, r-bioc-annotationhub, r-bioc-biostrings, r-cran-tibble, r-bioc-genomeinfodb, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-tximportdata, r-bioc-org.dm.eg.db, r-bioc-deseq2, r-bioc-fishpond, r-bioc-edger, r-bioc-limma, r-cran-devtools
Filename: pool/dists/focal/main/r-bioc-tximeta_1.26.0-1.ca2004.1_all.deb
Size: 1094344
MD5sum: 0812498c8d5f3edbc3d214b310c10707
SHA1: 5ca0c8e077d60ca389c253571b42efc1eee0aae5
SHA256: e5de3c30c5b60d5b748edbb79ba7728356cc3d2b83d1f3ed9af7e3b3467c786c
SHA512: d18c7115054a85dc7a5b691fbb82ce8907491ba385e24d29974904ef4b7dd1389ceb972d70927dd99c0c8babb413d1fa6e14d526506cfaad19412650a4f6186c
Homepage: https://cran.r-project.org/package=tximeta
Description: Bioc Package 'tximeta' (Transcript Quantification Import with Automatic Metadata)
 Transcript quantification import from Salmon and other quantifiers with
 automatic attachment of transcript ranges and release information, and other
 associated metadata. De novo transcriptomes can be linked to the appropriate
 sources with linkedTxomes and shared for computational reproducibility.

Package: r-bioc-tximport
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1035
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-tximportdata, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-readr, r-cran-arrow, r-bioc-limma, r-bioc-edger, r-bioc-deseq2, r-bioc-rhdf5, r-cran-jsonlite, r-cran-matrixstats, r-cran-matrix, r-bioc-eds
Filename: pool/dists/focal/main/r-bioc-tximport_1.36.0-1.ca2004.1_all.deb
Size: 321680
MD5sum: 5adfb21a4e5df552a15e30a67d76c58c
SHA1: 77594490750ba911e54f858d505417adf7d31f09
SHA256: 42dd17e4817ea7185e878947401378134ee980a1201a40746ca4e43f9be36e6a
SHA512: 6c247766c192f9e2b0142f9962d9e2d7aafc2a1e253f8bff93ab96eee6396acf51ccef62f3b76f4827a579e3f018ea234c576bbe313acbbc6018077a1fc8e06d
Homepage: https://cran.r-project.org/package=tximport
Description: Bioc Package 'tximport' (Import and summarize transcript-level estimates for transcript-and gene-level analysis)
 Imports transcript-level abundance, estimated counts and transcript lengths,
 and summarizes into matrices for use with downstream gene-level analysis
 packages. Average transcript length, weighted by sample-specific transcript
 abundance estimates, is provided as a matrix which can be used as an offset
 for different expression of gene-level counts.

Package: r-bioc-tximportdata
Architecture: all
Version: 1.36.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513023
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-bioc-tximportdata_1.36.0-1.ca2004.1_all.deb
Size: 285818360
MD5sum: e8f45931c528580e96106ece39f351b6
SHA1: baa664a39dc33b89eeccd194c05cf2cfbf8d1bc1
SHA256: e6a41c1ab9b645ccf0738804257765a896a41b09aa9924c8bdcdc1479837210c
SHA512: 8a66291380ec70ccb97be5b43f6f777206f839b4615a22c18be0f2c93b29eb875fc2b28b64c8378332a60cf27958ef2c1dbe36e068ee63360f9bf9efcf780b00
Homepage: https://cran.r-project.org/package=tximportData
Description: Bioc Package 'tximportData' (tximportData)
 This package provides the output of running various transcript abundance
 quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project. The
 quantifiers were Cufflinks, RSEM, kallisto, Salmon and Sailfish. alevin
 example output is also included. Forr details on version numbers, sample
 information, and details on calls, see the package vignette.

Package: r-bioc-ucell
Architecture: all
Version: 2.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3907
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-matrix, r-bioc-biocparallel, r-bioc-biocneighbors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment
Suggests: r-bioc-scater, r-bioc-scrnaseq, r-cran-reshape2, r-cran-patchwork, r-cran-ggplot2, r-bioc-biocstyle, r-cran-seurat, r-cran-seuratobject, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-bioc-ucell_2.12.0-1.ca2004.1_all.deb
Size: 1159464
MD5sum: 5accc3b3c8bb82d7e4f705f6e7b282fe
SHA1: ede8431c182ff0d93daddb9066d129949a793340
SHA256: ba53b3e955cec1d718669c807f2d7ea9435d201216264c9494295707ee1ac4d2
SHA512: db17da1caabaaeeb4733361cb326be599b22b78295e5c7751cd33df47c298682a8f9eb49e75c1f923eea55227cb62a02dad2b7b66e3716aa3f05cc762c34eaeb
Homepage: https://cran.r-project.org/package=UCell
Description: Bioc Package 'UCell' (Rank-based signature enrichment analysis for single-cell data)
 UCell is a package for evaluating gene signatures in single-cell datasets.
 UCell signature scores, based on the Mann-Whitney U statistic, are robust to
 dataset size and heterogeneity, and their calculation demands less computing
 time and memory than other available methods, enabling the processing of
 large datasets in a few minutes even on machines with limited computing
 power. UCell can be applied to any single-cell data matrix, and includes
 functions to directly interact with SingleCellExperiment and Seurat objects.

Package: r-bioc-ucsc.utils
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-bioc-s4vectors
Suggests: r-cran-dbi, r-cran-rmariadb, r-bioc-genomeinfodb, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-bioc-ucsc.utils_1.4.0-1.ca2004.1_all.deb
Size: 261748
MD5sum: fcd9ad82ef81b08490355710a747320f
SHA1: 3eab66a938af5a38fd577663bc522684fe833ace
SHA256: 72dd70fe604d056e73f4a0dab015dfc6a7152c00153590be933e780d8350eb43
SHA512: 15a2be62b10e19d5aabe909703dd5994118dc16fe6908a12b61c1c2d3c06cfe8db1dd2995071fba911803e06b5f6ef72d0a66fe654e3f9994be6f03dc5351f2b
Homepage: https://cran.r-project.org/package=UCSC.utils
Description: Bioc Package 'UCSC.utils' (Low-level utilities to retrieve data from the UCSC GenomeBrowser)
 A set of low-level utilities to retrieve data from the UCSC Genome Browser.
 Most functions in the package access the data via the UCSC REST API but some
 of them query the UCSC MySQL server directly. Note that the primary purpose
 of the package is to support higher-level functionalities implemented in
 downstream packages like GenomeInfoDb or txdbmaker.

Package: r-bioc-uniprot.ws
Architecture: all
Version: 2.48.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 980
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-anvilbase, r-bioc-biocfilecache, r-bioc-biocbaseutils, r-bioc-biocgenerics, r-cran-httr2, r-cran-jsonlite, r-cran-progress, r-cran-rjsoncons
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-bioc-uniprot.ws_2.48.0-1.ca2004.1_all.deb
Size: 438200
MD5sum: 6e5b0552fe4bd21e947ae1eb7f24e472
SHA1: 722020f3d86570d570a6f3828bdc5cd9a56a3aa3
SHA256: 1f373234b2ca46b5ed411abbbcc566b4f198befe335da9e87b28c14c3b4f022d
SHA512: 1f298fda7293b69650a69937fcb46ec7bfb32be2af91fc69d75894fd8d9c7c9515d08e525650802b1a1d9974ac5e37d9e473d0b21fede8c4110f4140a4766054
Homepage: https://cran.r-project.org/package=UniProt.ws
Description: Bioc Package 'UniProt.ws' (R Interface to UniProt Web Services)
 The Universal Protein Resource (UniProt) is a comprehensive resource for
 protein sequence and annotation data. This package provides a collection of
 functions for retrieving, processing, and re-packaging UniProt web services.
 The package makes use of UniProt's modernized REST API and allows mapping of
 identifiers accross different databases.

Package: r-bioc-variancepartition
Architecture: all
Version: 1.38.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8578
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-bioc-limma, r-bioc-biocparallel, r-cran-mass, r-cran-pbkrtest, r-cran-lmertest, r-cran-matrix, r-cran-iterators, r-cran-gplots, r-cran-corpcor, r-cran-matrixstats, r-cran-rhpcblasctl, r-cran-reshape2, r-cran-remacor, r-cran-fancova, r-cran-aod, r-cran-scales, r-cran-rdpack, r-cran-rlang, r-cran-lme4, r-bioc-biobase
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-bioc-edger, r-cran-dendextend, r-bioc-tximport, r-bioc-tximportdata, r-bioc-ballgown, r-bioc-deseq2, r-cran-runit, r-cran-cowplot, r-cran-rfast, r-bioc-zenith, r-cran-statmod, r-bioc-biocgenerics, r-cran-r2glmm, r-cran-readr
Filename: pool/dists/focal/main/r-bioc-variancepartition_1.38.0-1.ca2004.1_all.deb
Size: 3839556
MD5sum: da71cc5b78fda30e07ca4661fae39bf3
SHA1: 6a86e4aad25ddaf4252fb98a01acfd0a523d41f0
SHA256: 5359ea754364555310bd5c8a50edeff56fa0d69d941250e0dd2b6851de9eb2f8
SHA512: f9913403e8d7158647733d18651c96fb15be3110f49fc2eff2bc94cf45b6ad0a2789d9cb6237986cce735e39a38d20994bc0f122e0cf19f39a7805cc1e2ffb6f
Homepage: https://cran.r-project.org/package=variancePartition
Description: Bioc Package 'variancePartition' (Quantify and interpret drivers of variation in multilevel geneexpression experiments)
 Quantify and interpret multiple sources of biological and technical
 variation in gene expression experiments. Uses a linear mixed model to
 quantify variation in gene expression attributable to individual, tissue,
 time point, or technical variables.  Includes dream differential expression
 analysis for repeated measures.

Package: r-bioc-vbmp
Architecture: all
Version: 1.76.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1905
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-biobase, r-cran-statmod
Filename: pool/dists/focal/main/r-bioc-vbmp_1.76.0-1.ca2004.1_all.deb
Size: 1888884
MD5sum: 73d6637734c9af927674c182fdd58aa2
SHA1: 13226213435ed584bc48ab76c67d1132bba0fc8c
SHA256: d0ed2e160b3046be7478b1fe629d72e106c0402889f7e20a1bc8aa10c2778cf8
SHA512: 9e3217187dd102961429ce41d56e58c30bf687c9e69f52ad7e6a8ea66a69f5965b1de4e87c280cc93409217a0f90ffef01886667a2767bcafce43f49454090fc
Homepage: https://cran.r-project.org/package=vbmp
Description: Bioc Package 'vbmp' (Variational Bayesian Multinomial Probit Regression)
 Variational Bayesian Multinomial Probit Regression with Gaussian Process
 Priors. It estimates class membership posterior probability employing
 variational and sparse approximation to the full posterior. This software
 also incorporates feature weighting by means of Automatic Relevance
 Determination.

Package: r-bioc-viper
Architecture: all
Version: 1.42.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-mixtools, r-cran-e1071, r-cran-kernsmooth
Suggests: r-bioc-bcellviper
Filename: pool/dists/focal/main/r-bioc-viper_1.42.0-1.ca2004.1_all.deb
Size: 770712
MD5sum: 19afe08abed8feb8af59bd770848a25c
SHA1: eb72273fd7de4c06a0c4ad1dbc006a1e1729890a
SHA256: 9a66b8d0f6342241ffe308eb5d049d65362615ae58cb28ec0b70f9abd507ea1c
SHA512: bf974708b6a1e7d55e17b018b37454c0286726d1beb508fff6d5357df87de9164aca49979aa23b12d887a0e5744c9e4c1a847ff1f7a89b5b24620f0f286717e3
Homepage: https://cran.r-project.org/package=viper
Description: Bioc Package 'viper' (Virtual Inference of Protein-activity by Enriched Regulonanalysis)
 Inference of protein activity from gene expression data, including the VIPER
 and msVIPER algorithms

Package: r-bioc-watermelon
Architecture: all
Version: 2.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4617
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-bioc-limma, r-cran-matrixstats, r-bioc-methylumi, r-bioc-lumi, r-bioc-roc, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-illuminaio
Suggests: r-cran-rpmm, r-bioc-illuminahumanmethylationepicanno.ilm10b2.hg19, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-bioc-illuminahumanmethylationepicmanifest, r-cran-irlba, r-bioc-flowsorted.blood.epic, r-bioc-flowsorted.blood.450k, r-bioc-preprocesscore
Filename: pool/dists/focal/main/r-bioc-watermelon_2.14.0-1.ca2004.1_all.deb
Size: 3884924
MD5sum: f81f05a8bdc92bfd6845234e8e9a4c74
SHA1: c6f09acd7dcf236f114783f2f30fe97575c38cf5
SHA256: 6e2fe6694514658c2a87c1c1414a96a0e1bed0da1036103e164441c38abe29d1
SHA512: 3a27d5fdd7a61e24c18b15d929cb3b258eb6367891179a9526e533117b4fdad75bfd05c05fe940d52ff02425d75cd8bb8384664bcfa8369017093a9aef5cf75d
Homepage: https://cran.r-project.org/package=wateRmelon
Description: Bioc Package 'wateRmelon' (Illumina DNA methylation array normalization and metrics)
 15 flavours of betas and three performance metrics, with methods for objects
 produced by methylumi and minfi packages.

Package: r-bioc-widgettools
Architecture: all
Version: 1.86.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-biobase
Filename: pool/dists/focal/main/r-bioc-widgettools_1.86.0-1.ca2004.1_all.deb
Size: 459952
MD5sum: 54db4d658b80c7cc22ff47ff8ea93701
SHA1: 20656f7910ebc3d1022a8e24fba43a6b722c79bf
SHA256: 9fe57e9d763bf77d065f954e1ec08330056f055586b5bb16af1facf32bdf4efe
SHA512: 71831589253ee8dd5cebda832bde6ba0bcf5cab36eba80712e7e94f197449682f16ed65ff1c4fe02fc61a3b21f7ffdb96c3859b3b3beccec93f1fd6b55d4134c
Homepage: https://cran.r-project.org/package=widgetTools
Description: Bioc Package 'widgetTools' (Creates an interactive tcltk widget)
 This packages contains tools to support the construction of tcltk widgets

Package: r-bioc-wrench
Architecture: all
Version: 1.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 718
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-limma, r-cran-matrixstats, r-cran-locfit
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-metagenomeseq, r-bioc-deseq2, r-bioc-edger
Filename: pool/dists/focal/main/r-bioc-wrench_1.26.0-1.ca2004.1_all.deb
Size: 243972
MD5sum: 61141e6d04b85c24312aa678d45991d6
SHA1: 019df3a6ddc1307ca9338ee96e1605cb84aa2755
SHA256: 57173d410bd6877af7a2d27ee6a11b10bd9d149d42b4701034237cf64d6301a2
SHA512: c31de68b04c65907e220eb5ed470eb4bd40a9b986276385ec77f76c6fc992ff9859275a7fd5a666955190369f4ab3a83e8130407fcdb45cb3349b6a04925d30c
Homepage: https://cran.r-project.org/package=Wrench
Description: Bioc Package 'Wrench' (Wrench normalization for sparse count data)
 Wrench is a package for normalization sparse genomic count data, like that
 arising from 16s metagenomic surveys.

Package: r-bioc-zellkonverter
Architecture: all
Version: 1.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2916
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-basilisk, r-cran-cli, r-bioc-delayedarray, r-cran-matrix, r-cran-reticulate, r-bioc-s4vectors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment
Suggests: r-cran-anndata, r-bioc-biocfilecache, r-bioc-biocstyle, r-cran-covr, r-bioc-hdf5array, r-cran-knitr, r-cran-pkgload, r-bioc-rhdf5, r-cran-rmarkdown, r-bioc-scrnaseq, r-bioc-spatialexperiment, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-bioc-zellkonverter_1.18.0-1.ca2004.1_all.deb
Size: 1127868
MD5sum: 83d5452d3b1c41e8e27935d744b19bf9
SHA1: a2218e304e7b1c6ae5936c0c99df3677ed68f4ea
SHA256: 404d1580735c047516ee7adbbcd7582de39099155ebf011ff7d9420b10d633e6
SHA512: 45a2c06860a349cffe58f7f8c94f68b0db0dade03cf3bcdede122c9c08c1ca2c7ab6347b52fe1ba02d455036e796fb6a87f55590ccfd276dd7b281fa7923325d
Homepage: https://cran.r-project.org/package=zellkonverter
Description: Bioc Package 'zellkonverter' (Conversion Between scRNA-seq Objects)
 Provides methods to convert between Python AnnData objects and
 SingleCellExperiment objects. These are primarily intended for use by
 downstream Bioconductor packages that wrap Python methods for single-cell
 data analysis. It also includes functions to read and write H5AD files used
 for saving AnnData objects to disk.

Package: r-bioc-zinbwave
Architecture: all
Version: 1.30.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1570
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-bioc-biocparallel, r-cran-softimpute, r-bioc-genefilter, r-bioc-edger, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-matrixstats, r-cran-magrittr, r-bioc-scrnaseq, r-cran-ggplot2, r-bioc-biomart, r-bioc-biocstyle, r-cran-rtsne, r-bioc-deseq2, r-bioc-sparsematrixstats
Filename: pool/dists/focal/main/r-bioc-zinbwave_1.30.0-1.ca2004.1_all.deb
Size: 873380
MD5sum: 438aa01a6c2ac86adaff95e2d90e9cad
SHA1: ec6484db5a454bbc02423c27a214c1197673e341
SHA256: 3ee4111a0a087012f778be64e3c2a79a431573f531ec492a8304632319f9851e
SHA512: c75fed96ba6d7958044a6a6278cde5e9ec0bef3340173fd4512f891bfc0deecd8adedd4269b43205cc35b177fbc36fb68ab7976e1da0c2b13f76c066e336304a
Homepage: https://cran.r-project.org/package=zinbwave
Description: Bioc Package 'zinbwave' (Zero-Inflated Negative Binomial Model for RNA-Seq Data)
 Implements a general and flexible zero-inflated negative binomial model that
 can be used to provide a low-dimensional representations of single-cell
 RNA-seq data. The model accounts for zero inflation (dropouts),
 over-dispersion, and the count nature of the data. The model also accounts
 for the difference in library sizes and optionally for batch effects and/or
 other covariates, avoiding the need for pre-normalize the data.

Package: r-cran-a3
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xtable, r-cran-pbapply
Suggests: r-cran-randomforest, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-a3_1.0.0-1.ca2004.1_all.deb
Size: 89120
MD5sum: 3b17f3ef8b83c2427bde74a13da70c71
SHA1: 0769938e1741f905189a0e162398bdfa9198bf35
SHA256: 9b13ea5763eade38e865801302d442263e7598ec63bae01d081259678696e351
SHA512: 19b8b053419936cff17c4046f692e97a540c24bb2477589acc65756ee0d91865757104da69d9a960c6987aff846843601715f4aea1dd4ae82762b97139f5c112
Homepage: https://cran.r-project.org/package=A3
Description: CRAN Package 'A3' (Accurate, Adaptable, and Accessible Error Metrics for PredictiveModels)
 Supplies tools for tabulating and analyzing the results of predictive
 models. The methods employed are applicable to virtually any predictive
 model and make comparisons between different methodologies straightforward.

Package: r-cran-aalenjohansen
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aalenjohansen_1.0-1.ca2004.1_all.deb
Size: 177564
MD5sum: c25542f71dd09fe522fa231b51c9d2c6
SHA1: 0139d8a11375e28d2ef90762011929677045f3ee
SHA256: 0d86c912559c6212aff4822d8ddf34969ffc790655d0364bec9e46756683ea21
SHA512: 05d4a628e192ce590611bad4ba715d640dc1290818607cce65b2c81aed868bda62bb259c9633dfaa073c1ec62ac5e040f9a0a47bbdf4dbc1c11e0cb276615858
Homepage: https://cran.r-project.org/package=AalenJohansen
Description: CRAN Package 'AalenJohansen' (Conditional Aalen-Johansen Estimation)
 Provides the conditional Nelson-Aalen and Aalen-Johansen estimators. The
 methods are based on Bladt & Furrer (2023), in preparation.

Package: r-cran-aamatch
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-itos
Suggests: r-cran-dos2, r-cran-sensitivity2x2xk, r-cran-sensitivitymv, r-cran-weightedrank, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-aamatch_0.3.7-1.ca2004.1_all.deb
Size: 248384
MD5sum: c6f91e797b5cb8c6676eb7573938b9eb
SHA1: a6d6b133e01d1e61450f426d0db7ec213e51391e
SHA256: d3c839cebe4809c828185c4d24e103f1e6b271e6695e4bde6493d2382aae67b8
SHA512: 242765db646246caba9ac42e6a431e90533320b497f184469a5cae5016e2a53666a603bb01d73c0a488f624c9b2414a67873f5cab4129e75e6c8b6438f0c9b7b
Homepage: https://cran.r-project.org/package=aamatch
Description: CRAN Package 'aamatch' (Artless Automatic Multivariate Matching for ObservationalStudies)
 Implements a simple version of multivariate matching using a propensity
 score, near-exact matching, near-fine balance, and robust Mahalanobis
 distance matching (Rosenbaum 2020
 <doi:10.1146/annurev-statistics-031219-041058>).  You specify the variables,
 and the program does everything else.

Package: r-cran-aasea
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4626
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dt, r-cran-networkd3, r-cran-shiny, r-cran-shinydashboard, r-cran-magrittr, r-cran-bios2cor, r-cran-seqinr, r-cran-plotly, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aasea_1.1.0-1.ca2004.1_all.deb
Size: 1296032
MD5sum: d64eacfb66246cf3181ec8888436b548
SHA1: cbd385af015239db502b3b300e636e47edb44208
SHA256: 4f32e6bf50a2951014e2058ee7431976855e491892eaeb975976bec06b84e185
SHA512: 2c7994ed15cf2d8be508ed4df8c9bd2e145a4ac67b98f7f5716747da513aae4230b3dc3fc945be9f47da78b79776b332ed957ae8d9b38c89af9c80315b0b7076
Homepage: https://cran.r-project.org/package=aaSEA
Description: CRAN Package 'aaSEA' (Amino Acid Substitution Effect Analyser)
 Given a protein multiple sequence alignment, it is daunting task to assess
 the effects of substitutions along sequence length. 'aaSEA' package is
 intended to help researchers to rapidly analyse property changes caused by
 single, multiple and correlated amino acid substitutions in proteins.
 Methods for identification of co-evolving positions from multiple sequence
 alignment are as described in : Pelé et al., (2017)
 <doi:10.4172/2379-1764.1000250>.

Package: r-cran-aattools
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-aattools_0.0.3-1.ca2004.1_all.deb
Size: 418500
MD5sum: cc5d4125289df0ce8a2d27acf436f7d9
SHA1: 270dc7dc141f55e7121b4ce566fab778ed9fd614
SHA256: 2cde1f79b30ce235d311b92a0b7fbfdfbd1f856c6cf806afaa5f900e1cbaa478
SHA512: 80d9a263c9f0cf90fd18f782ba7f266bcc7972e7a37a08c44474c9e7ea1ae50a6dbb6fe57c6f7278f84b3ec0498c95dc06f7ef0ff0a209440d6bb56a05107b66
Homepage: https://cran.r-project.org/package=AATtools
Description: CRAN Package 'AATtools' (Reliability and Scoring Routines for the Approach-Avoidance Task)
 Compute approach bias scores using different scoring algorithms, compute
 bootstrapped and exact split-half reliability estimates, and compute
 confidence intervals for individual participant scores.

Package: r-cran-abacus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-abacus_1.0.0-1.ca2004.1_all.deb
Size: 72760
MD5sum: ea8bb724baa0785fa4863555267d256b
SHA1: 070a3ec8218087884b8dee48caeb0cff4e708f58
SHA256: 69a6014f318ad75cf68c9caa586f9b3da12fe586853311d694fbf9a6a4dbefd1
SHA512: 21c50ef08d20754a37fdd795009e82cfcedfb9685f4eec1a82cf6299c9dae8ff9e50b089a9cc621a2fddb4ceb5fa4f7c03b5524406c295d8c798a7d2349d8c9f
Homepage: https://cran.r-project.org/package=ABACUS
Description: CRAN Package 'ABACUS' (Apps Based Activities for Communicating and UnderstandingStatistics)
 A set of Shiny apps for effective communication and understanding in
 statistics. The current version includes properties of normal distribution,
 properties of sampling distribution, one-sample z and t tests, two samples
 independent (unpaired) t test and analysis of variance.

Package: r-cran-abasequence
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abasequence_0.1.0-1.ca2004.1_all.deb
Size: 20000
MD5sum: 6eebbb71ad7ec7c913bd1175f6cf7bb4
SHA1: c9be6104edb880259f2030f852419cb1edae7f6c
SHA256: ac6d7e439731549cb2df0caec43857c2b1fffeaa66da7a873812d1e13decf3d3
SHA512: 468eb18cb053daa691dedc3ec9445f425d38ebad009147334c1fdb3ed6daa872d756f8c1bafa1d94cf5261a8171be5c0a1c7ecbca87706aebdeb643f5e29b490
Homepage: https://cran.r-project.org/package=abasequence
Description: CRAN Package 'abasequence' (Coding 'ABA' Patterns for Sequence Data)
 Provides a suite of functions for analyzing sequences of events. Users can
 generate and code sequences based on predefined rules, with a special focus
 on the identification of sequences coded as 'ABA' (when one element appears,
 followed by a different one, and then followed by the first). Additionally,
 the package offers the ability to calculate the length of consecutive
 'ABA'-coded sequences sharing common elements. The methods implemented in
 this package are based on the work by Ziembowicz, K., Rychwalska, A., &
 Nowak, A. (2022). <doi:10.1177/10464964221118674>.

Package: r-cran-abbreviate
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abbreviate_0.1-1.ca2004.1_all.deb
Size: 13876
MD5sum: 6c774065501bf1078a98f12e31e1706c
SHA1: 52115e5d66a37179ec3e9c8e9c19a16a1926ac80
SHA256: 486ba62f26610483381cd332048342ac1afe55adb496026f87a218c386868d24
SHA512: 5092357babf00f07b69abea769ad63ad93d5bc52a86d7850dfb05d17178255163dc8bf85b58db2239678c07e83d44f9d07e2238f48371cd043a3bd99f4b513ff
Homepage: https://cran.r-project.org/package=abbreviate
Description: CRAN Package 'abbreviate' (Readable String Abbreviation)
 Strings are abbreviated to at least "minlength" characters, such that they
 remain unique (if they were). The abbreviations should be recognisable.

Package: r-cran-abbyyr
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3466
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml, r-cran-curl, r-cran-readr, r-cran-plyr, r-cran-progress
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-abbyyr_0.5.5-1.ca2004.1_all.deb
Size: 1272996
MD5sum: 3c674b7126acca64e36c1a8ee9ec4c3a
SHA1: 47a5828cfcd7e835a446bf99dda177d43e3f2aac
SHA256: 12e78d8486db43cda1ba68a764ca6390769a93cbafbda6118e5069c1ebcb50e1
SHA512: 8a9a3c4abb508a79ed0b619d5e6a0a36e19c10a4062229f481bfcf28ce59823adbeb575144a63eb2f2d391e3bd0105c9db20fe379a86e7bb44f4cb52f704ca44
Homepage: https://cran.r-project.org/package=abbyyR
Description: CRAN Package 'abbyyR' (Access to Abbyy Optical Character Recognition (OCR) API)
 Get text from images of text using Abbyy Cloud Optical Character Recognition
 (OCR) API. Easily OCR images, barcodes, forms, documents with machine
 readable zones, e.g. passports. Get the results in a variety of formats
 including plain text and XML. To learn more about the Abbyy OCR API, see
 <http://ocrsdk.com/>.

Package: r-cran-abc.data
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4804
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abc.data_1.1-1.ca2004.1_all.deb
Size: 4887544
MD5sum: 94f4a82b2818ab6bbf2602c68c31a72e
SHA1: 19d856d96cf67a3348bc840e9d3c187dbaa460c6
SHA256: 4e0baafba5b489d334ef1a5ee1ce8811cbe2d0f642a8ce57d593b38cf9a29697
SHA512: 18f8f5b42e3b86b3f2b136b36839bed4201741231ccf4909ca2155af773b730a3a8562cbbdfa189c33d21b5880ec1c7b83d363e98c3cf14a65e6745c20538819
Homepage: https://cran.r-project.org/package=abc.data
Description: CRAN Package 'abc.data' (Data Only: Tools for Approximate Bayesian Computation (ABC))
 Contains data which are used by functions of the 'abc' package.

Package: r-cran-abc.rap
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4819
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-abc.rap_0.9.0-1.ca2004.1_all.deb
Size: 4799160
MD5sum: 5c2608ec0693689c4ff58ad598ab98c0
SHA1: e435934650a4a76c48d4a640755ed3b567496476
SHA256: a17d170b34ed093663d56de6c0d0ec8bfe2001767b6fbb9ce8b2f7e2884bb49f
SHA512: 308d944689dc303605085ebf663663646df63527f4038617a1df89e037c57252770dc5e808bb38db630ff296d5e1fd753d6e9368fdfe41c8f552907645cae928
Homepage: https://cran.r-project.org/package=ABC.RAP
Description: CRAN Package 'ABC.RAP' (Array Based CpG Region Analysis Pipeline)
 It aims to identify candidate genes that are “differentially methylated”
 between cases and controls. It applies Student’s t-test and delta beta
 analysis to identify candidate genes containing multiple “CpG sites”.

Package: r-cran-abc
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abc.data, r-cran-nnet, r-cran-quantreg, r-cran-mass, r-cran-locfit
Filename: pool/dists/focal/main/r-cran-abc_2.2.2-1.ca2004.1_all.deb
Size: 338316
MD5sum: 85c586d7c02aa6a56072f4ebed1a6910
SHA1: c968d04adb227027fb0d5620632b29a3b8baa4aa
SHA256: 356b52242a7eb8fa47c0c2c12484e9b0ba9c44db02348c2e1bee4580d5869b68
SHA512: f64d8b179b53859c4bcb5f5529a0b9db4d6d59d1872bbe197e220706e9e2bcdf155600223c9167c227a9ce5e898a548e691e9388c2a05e6224bfc61071a86522
Homepage: https://cran.r-project.org/package=abc
Description: CRAN Package 'abc' (Tools for Approximate Bayesian Computation (ABC))
 Implements several ABC algorithms for performing parameter estimation, model
 selection, and goodness-of-fit.  Cross-validation tools are also available
 for measuring the accuracy of ABC estimates, and to calculate the
 misclassification probabilities of different models.

Package: r-cran-abcanalysis
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-abcanalysis_1.2.1-1.ca2004.1_all.deb
Size: 74012
MD5sum: 990930c2e9f94de12c039ebf58226801
SHA1: a13bcd6287297652d9727114450e1b1c0edfec0b
SHA256: 054cfeb1bb78eab6b78851e0e350a5d5680f2c721010eebcf79b966c8bbeabdd
SHA512: ed781bed3e13349fd258032b17d817a392fd82866b092886716b861bf8b16db2e096c72f506c31618d3ba8f17b0672db4a2c6299047319a45dd58f901f1fed3c
Homepage: https://cran.r-project.org/package=ABCanalysis
Description: CRAN Package 'ABCanalysis' (Computed ABC Analysis)
 For a given data set, the package provides a novel method of computing
 precise limits to acquire subsets which are easily interpreted. Closely
 related to the Lorenz curve, the ABC curve visualizes the data by
 graphically representing the cumulative distribution function. Based on an
 ABC analysis the algorithm calculates, with the help of the ABC curve, the
 optimal limits by exploiting the mathematical properties pertaining to
 distribution of analyzed items. The data containing positive values is
 divided into three disjoint subsets A, B and C, with subset A comprising
 very profitable values, i.e. largest data values ("the important few"),
 subset B comprising values where the yield equals to the effort required to
 obtain it, and the subset C comprising of non-profitable values, i.e., the
 smallest data sets ("the trivial many"). Package is based on "Computed ABC
 Analysis for rational Selection of most informative Variables in
 multivariate Data", PLoS One. Ultsch. A., Lotsch J. (2015)
 <DOI:10.1371/journal.pone.0129767>.

Package: r-cran-abcp2
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-abcp2_1.2-1.ca2004.1_all.deb
Size: 37592
MD5sum: 7dabf49a92d5ff06d9e0983f2d3df4d4
SHA1: a439d289e4a2f4584a89fbc922daff485b0b3260
SHA256: 5c9cd4a47f8fe7a9a6b6cd6105138796b5c2c1a4ff4cf8b806cf1f76c4202880
SHA512: b220e8489eb560ccb17de25ef661ac5f2086f60bab1d13c0488379061e5de0cf89c1d69e924ff123e5ddbc9615f15e754bef13059853aee313ee9408ceb8c307
Homepage: https://cran.r-project.org/package=ABCp2
Description: CRAN Package 'ABCp2' (Approximate Bayesian Computational Model for Estimating P2)
 Tests the goodness of fit of a distribution of offspring to the Normal,
 Poisson, and Gamma distribution and estimates the proportional paternity of
 the second male (P2) based on the best fit distribution.

Package: r-cran-abcrlda
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abcrlda_1.0.3-1.ca2004.1_all.deb
Size: 204492
MD5sum: 79e1ece6a9f073ad036525f8c23ef404
SHA1: dc41fdc20c367e2faec9274af494ff212e37a2e1
SHA256: 246d7bb21cabab79cf71a61830df3e64a9f1a5b28b367ac620866f922c59677e
SHA512: b00f03969759f6cd6b6dc004e13c94c6d1a56965910bf5365b16b70e1b1f7ac3734c2897491533b4c0f05ef97fe1d38cb3fa57acb7fa2218bf0052fbbe9faa13
Homepage: https://cran.r-project.org/package=abcrlda
Description: CRAN Package 'abcrlda' (Asymptotically Bias-Corrected Regularized Linear DiscriminantAnalysis)
 Offers methods to perform asymptotically bias-corrected regularized linear
 discriminant analysis (ABC_RLDA) for cost-sensitive binary classification.
 The bias-correction is an estimate of the bias term added to regularized
 discriminant analysis (RLDA) that minimizes the overall risk. The default
 magnitude of misclassification costs are equal and set to 0.5; however, the
 package also offers the options to set them to some predetermined values or,
 alternatively, take them as hyperparameters to tune.  A. Zollanvari, M.
 Abdirash, A. Dadlani and B. Abibullaev (2019)
 <doi:10.1109/LSP.2019.2918485>.

Package: r-cran-abd
Architecture: all
Version: 0.2-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1020
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-lattice, r-cran-mosaic
Suggests: r-cran-boot, r-cran-car, r-cran-ggplot2, r-cran-plyr, r-cran-hh, r-cran-icc, r-cran-vcd, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-abd_0.2-8-1.ca2004.1_all.deb
Size: 502756
MD5sum: 02b0d4410d365f5fd0cd3d92e69ef392
SHA1: b83b2fea66c175f269b947269973a8e982097842
SHA256: 94222091a85e53cd57f4e8c685d1aba41d892f4271a3cdf9898c19af3bb31e18
SHA512: 0eefd5fa6cf5ab5a1fdd37613d5a3ddc38411b0b6ba096b2719ee5495373889ea74dacc86bb2c1b75af6b2e46b20ab90bb5505a72b6bae75202239f23009f1d4
Homepage: https://cran.r-project.org/package=abd
Description: CRAN Package 'abd' (The Analysis of Biological Data)
 The abd package contains data sets and sample code for The Analysis of
 Biological Data by Michael Whitlock and Dolph Schluter (2009; Roberts &
 Company Publishers).

Package: r-cran-abdiv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Suggests: r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-abdiv_0.2.0-1.ca2004.1_all.deb
Size: 149244
MD5sum: 9ef9be67d49303ec468515e218037671
SHA1: 9c5bc909b16278fb5bb7a577457d5f4238848839
SHA256: 56731dc49fe8ca3196a4f502caca14b787339f1fbf20761ea442f776a20bb7b3
SHA512: a533a7f25bebb52619e3b0a26daf546f2f78f5a94ca555dd4398a78198ab4ba7b8f7c42905ff824591ca40555c22fd28121964d33be5b8fe2e1d3722c9a87e56
Homepage: https://cran.r-project.org/package=abdiv
Description: CRAN Package 'abdiv' (Alpha and Beta Diversity Measures)
 A collection of measures for measuring ecological diversity.  Ecological
 diversity comes in two flavors: alpha diversity measures the diversity
 within a single site or sample, and beta diversity measures the diversity
 across two sites or samples. This package overlaps considerably with other R
 packages such as 'vegan', 'gUniFrac', 'betapart', and 'fossil'.  We also
 include a wide range of functions that are implemented in software outside
 the R ecosystem, such as 'scipy', 'Mothur', and 'scikit-bio'.  The
 implementations here are designed to be basic and clear to the reader.

Package: r-cran-abe
Architecture: all
Version: 5.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-tidytext, r-cran-survival, r-cran-foreach, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abe_5.1.2-1.ca2004.1_all.deb
Size: 259292
MD5sum: 287e76f0a0fd7808bf1343d981e20670
SHA1: 07ef668deadc7c80870c477620df8f964cc34fd1
SHA256: 74b386bd303ffd8e00aa428d21cc409e716586a6c1661be67dfb55376e6086df
SHA512: 3c35a09f1324716a9fc66ada694606ee352429da70cb41ecffbc6878333f5def1820156d50222e8121470075f24b37856ba9af059b66f7f692d8bb0cbb7a371c
Homepage: https://cran.r-project.org/package=abe
Description: CRAN Package 'abe' (Augmented Backward Elimination)
 Performs augmented backward elimination and checks the stability of the
 obtained model. Augmented backward elimination combines significance or
 information based criteria with the change in estimate to either select the
 optimal model for prediction purposes or to serve as a tool to obtain a
 practically sound, highly interpretable model. More details can be found in
 Dunkler et al. (2014) <doi:10.1371/journal.pone.0113677>.

Package: r-cran-aberrance
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-aberrance_0.2.0-1.ca2004.1_all.deb
Size: 183252
MD5sum: 4162d219d59fd39abca36d90b4f45432
SHA1: c58938110fe46677a16ed1ba1f3ec8cf4054e5b1
SHA256: 1045db916be130a257b695f5c9b1536afa353b197d71822be16cebb73e36388f
SHA512: eaa2077ac1c5827541401c584d47bb1de4fe3723139f7c39c9df8f46e884d9b3fc3bb34627fc59f581289fdc4de25e90121bc0eb76b38fdd2d073623a245df1b
Homepage: https://cran.r-project.org/package=aberrance
Description: CRAN Package 'aberrance' (Detect Aberrant Behavior in Test Data)
 Detect several types of aberrant behavior, including answer copying, answer
 similarity, nonparametric misfit, parametric misfit, preknowledge, rapid
 guessing, and test tampering.

Package: r-cran-abf2
Architecture: all
Version: 0.7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abf2_0.7-1-1.ca2004.1_all.deb
Size: 59848
MD5sum: 60e807485c03c6c0f2e061b21cf51c2c
SHA1: 3701af63120bb58405dba7930dc730aa6c9ec9cd
SHA256: f9fdd0ff2a32122dfa1b50481dab6f32b67a6e8f205293158628f3944fbb37c2
SHA512: 9a995bd9f9e0818bfa2dfec071d7af9cdd15e9bb0d5cf9ab9a95e07387e0b0285d03a04142b67406c8f80748cd7f0cfb33a2383cf31b3a3075687d971bfee9e6
Homepage: https://cran.r-project.org/package=abf2
Description: CRAN Package 'abf2' (Load Gap-Free Axon ABF2 Files)
 Loads ABF2 files containing gap-free data from electrophysiological
 recordings, as created by Axon Instruments/Molecular Devices software such
 as pClamp 10.

Package: r-cran-abglasso
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pracma, r-cran-statmod
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abglasso_0.1.1-1.ca2004.1_all.deb
Size: 16872
MD5sum: 48f3bdc3403b335ae87506ace85b3048
SHA1: c49df6aa96cc8c1318621e587eab8469a9d11f5d
SHA256: 473469062aefe7afa6ce61e0c59012179d08a5b6f1036351948552104d18b32a
SHA512: 68d4559fd0ef9f75ff882f167ae0c901d81cec232fa88add99a5bf4897241f3bd439a8c352733925c26cd515ac2afe58e8b0d1507e97e4fcefbecf529e0515bd
Homepage: https://cran.r-project.org/package=abglasso
Description: CRAN Package 'abglasso' (Adaptive Bayesian Graphical Lasso)
 Implements a Bayesian adaptive graphical lasso data-augmented block Gibbs
 sampler. The sampler simulates the posterior distribution of precision
 matrices of a Gaussian Graphical Model. This sampler was adapted from the
 original MATLAB routine proposed in Wang (2012) <doi:10.1214/12-BA729>.

Package: r-cran-abhgenotyper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-abhgenotyper_1.0.1-1.ca2004.1_all.deb
Size: 131188
MD5sum: f39ca899000c9b78bdc92ebb11b11b8f
SHA1: 26bbac608c1db3ac88c28088263535ac76174ebc
SHA256: a1dd595c93a3b4424ca47070dcefd61993a27d4dfa81564d9e199d0c4495f54d
SHA512: 336f97e8dcc09f4fbf982a6c6e2de0e3548134b3537f3980cc6dcc465493f051278a98e481e00a0e10b59679593f2bef870383639ccb362a1918111bbd9aabab
Homepage: https://cran.r-project.org/package=ABHgenotypeR
Description: CRAN Package 'ABHgenotypeR' (Easy Visualization of ABH Genotypes)
 Easy to use functions to visualize marker data from biparental populations.
 Useful for both analyzing and presenting genotypes in the ABH format.

Package: r-cran-abima
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abima_1.1-1.ca2004.1_all.deb
Size: 137008
MD5sum: 41f8336e75f1092f46baa48f0228cf30
SHA1: 529c50602ac497256d22795b739d3bf7afdd044d
SHA256: 1c0c1f13a29e1bdc036e922dc9fcbc2cce1760334b9b2b4f2284cec7edb04a1f
SHA512: 6de3bbe12a87bf3018d0532df459cca7e2904128cf6a516f90634df8f62d8a575c57decb7e9872fc9601c9066e4a9d6b08dd20da82b7f8b543edb4a8507a80d7
Homepage: https://cran.r-project.org/package=abima
Description: CRAN Package 'abima' (Adaptive Bootstrap Inference for Mediation Analysis withEnhanced Statistical Power)
 Assess whether and how a specific continuous or categorical exposure affects
 the outcome of interest through one- or multi-dimensional mediators using an
 adaptive bootstrap (AB) approach. The AB method allows to make inference for
 composite null hypotheses of no mediation effect, providing valid type I
 error control and thus optimizes statistical power. For more technical
 details, refer to He, Song and Xu (2024) <doi:10.1093/jrsssb/qkad129>.

Package: r-cran-abind
Architecture: all
Version: 1.4-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abind_1.4-8-1.ca2004.1_all.deb
Size: 65208
MD5sum: 46d411335a7c5cccbfee0390591700ce
SHA1: c50e78244f8722032ffa8de7841179e3920b3a89
SHA256: ba34603a0cc128a28ff976747710be7f541080566773f2205825ac6d84ba9d53
SHA512: 91455d7abd0c233a3b1322e2d08bf85dbd6b5d7da08a00f56ea2a62eee949dd6270099548c8cfa43c3586f193eb757f86b6f18d2666ba8c56bf53d786ab475ac
Homepage: https://cran.r-project.org/package=abind
Description: CRAN Package 'abind' (Combine Multidimensional Arrays)
 Combine multidimensional arrays into a single array.  This is a
 generalization of 'cbind' and 'rbind'.  Works with vectors, matrices, and
 higher-dimensional arrays (aka tensors).  Also provides functions 'adrop',
 'asub', and 'afill' for manipulating, extracting and replacing data in
 arrays.

Package: r-cran-abjdata
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3917
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-abjdata_1.1.2-1.ca2004.1_all.deb
Size: 3970400
MD5sum: 39740dad481492373eccdd5870ec66a1
SHA1: 4dae93fbd3ecfef96b08746a9d820d4f147ed59b
SHA256: 18ed02031fe8e0ca2a464c99057eac35fd3a95a167201fffad4f029a7f8cb3a4
SHA512: 9c7d2a984f8a812d75af6204fb7bd04e65f3802a6ffbf0e2755a855853ea1cb2aedc6c451c610dee8e9dc8590734b5c7c390978a387c18dd0b79e8b186d833f3
Homepage: https://cran.r-project.org/package=abjData
Description: CRAN Package 'abjData' (Databases Used Routinely by the Brazilian JurimetricsAssociation)
 The Brazilian Jurimetrics Association (ABJ in Portuguese, see
 <https://abj.org.br/> for more information) is a non-profit organization
 which aims to investigate and promote the use of statistics and probability
 in the study of Law and its institutions. This package has a set of datasets
 commonly used in our book.

Package: r-cran-abjutils
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-stringi, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abjutils_0.3.2-1.ca2004.1_all.deb
Size: 91052
MD5sum: 17314f8ed5fd24fc179c6d4e6ba2848e
SHA1: 9beb0167d0b395df84b9f41e777e159b4d0d24c7
SHA256: 56897986a7f9faddf98f7afe33182528907e5fddce42cc6e501843eb37ffc6c1
SHA512: 9ac8c3cf2bd1a96d610422fb847a0b4c0b5865b691d45ac5bbaec1ca04e89b1f8407180dad930f7013e4fcb1fa4e60bf834a35c8717bb597e3eb11a371e007cd
Homepage: https://cran.r-project.org/package=abjutils
Description: CRAN Package 'abjutils' (Useful Tools for Jurimetrical Analysis Used by the BrazilianJurimetrics Association)
 The Brazilian Jurimetrics Association (ABJ in Portuguese, see
 <https://abj.org.br/> for more information) is a non-profit organization
 which aims to investigate and promote the use of statistics and probability
 in the study of Law and its institutions.  This package implements general
 purpose tools used by ABJ, such as functions for sampling and basic
 manipulation of Brazilian lawsuits identification number. It also implements
 functions for text cleaning, such as accentuation removal.

Package: r-cran-ablasso
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hdm, r-cran-matrixstats, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ablasso_1.1-1.ca2004.1_all.deb
Size: 1666812
MD5sum: 51ce7bfa409a89150bcae376ef3119ef
SHA1: 5b909c4ac4766fdc2f73ded9f96a11a2568b7d0e
SHA256: 209535f54451ce661c86196e8126d145ac14c25053df9252b8cf5f5cc6094d9b
SHA512: 0afcfc97845ab322ffe73c3d07504c8c8ad263607e73502b6b947a3970e5d17ecc84802155de6f920f51fbd5b02e51c63a19d9a8dc18db65d348a698e56ce8d5
Homepage: https://cran.r-project.org/package=ablasso
Description: CRAN Package 'ablasso' (Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models)
 Implements the Arellano-Bond estimation method combined with LASSO for
 dynamic linear panel models. See Chernozhukov et al. (2024) "Arellano-Bond
 LASSO Estimator for Dynamic Linear Panel Models". arXiv preprint
 <doi:10.48550/arXiv.2402.00584>.

Package: r-cran-abmr
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-table1, r-cran-googledrive, r-cran-swfscmisc, r-cran-geosphere, r-cran-kableextra, r-cran-gtsummary, r-cran-ggplot2, r-cran-gstat, r-cran-purrr, r-cran-sf, r-cran-tmap, r-cran-raster, r-cran-rnaturalearth, r-cran-maps
Suggests: r-cran-jpeg, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-abmr_1.0.10-1.ca2004.1_all.deb
Size: 264300
MD5sum: 1d2903acdd7e5f96917c435ce6ec5c17
SHA1: 25c2d9d8cb1e9753732f19c1c8c0174bd22ef114
SHA256: b8603bf026021b6bf7abb4cabfaadc1353fbe8504fca810e8677790baa328553
SHA512: 97670297d1d696c060f6f980c45798e96d3687f9089e8c2c49bdc7775a17c7a95a160280624d627bf7b91d68dbe99f154910617404fac6ada5b8d21e91c2e4f6
Homepage: https://cran.r-project.org/package=abmR
Description: CRAN Package 'abmR' (Agent-Based Models in R)
 Supplies tools for running agent-based models (ABM) in R, as discussed in
 Gochanour et al. (2022) <doi:10.1111/2041-210X.14014>. The package contains
 two movement functions, each of which is based on the Ornstein-Uhlenbeck
 (OU) model (Ornstein & Uhlenbeck, 1930) <doi:10.1103/PhysRev.36.823>. It
 also contains several visualization and data summarization functions to
 facilitate the presentation of simulation results.

Package: r-cran-abms
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayeslogit, r-cran-gigrvg, r-cran-mvtnorm, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-abms_0.2-1.ca2004.1_all.deb
Size: 121556
MD5sum: b1679d41b82549d6056c578f289c6f2d
SHA1: 5d84e7e367b6693e92481f22fd05394585ed3141
SHA256: 695b7d85f4d479876d0d7eb8fa054cfb238a9bbc5f046113f22327fd2a766893
SHA512: 1dc9b23c1d41f74e72b685c0c2fafc9320af17f6228ccd19d30a925652f260195886ebc00cd4e5e64806b954b2997193e06c97a69f267d84faba9fb0e418effd
Homepage: https://cran.r-project.org/package=abms
Description: CRAN Package 'abms' (Augmented Bayesian Model Selection for Regression Models)
 Tools to perform model selection alongside estimation under Linear,
 Logistic, Negative binomial, Quantile, and Skew-Normal regression. Under the
 spike-and-slab method, a probability for each possible model is estimated
 with the posterior mean, credibility interval, and standard deviation of
 coefficients and parameters under the most probable model.

Package: r-cran-abnormality
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-abnormality_0.1.0-1.ca2004.1_all.deb
Size: 20404
MD5sum: e916f1e1710259b2964f3a50ba6330c1
SHA1: 67f83301963b3eff5c37d9a2de82bdf31b7566b7
SHA256: 750ae43fccd11703822027789c6fb043d621a95bd36cdd8a0d6c89c2000ae690
SHA512: 88f153e05d502a95d6f6503c9849f8408089d6a003f2c7017eac74d9e1b8ffb59621ee8bf66460f22c3536929a7ef90aade19dfa80c6928ad38fbb6ec26fa4a9
Homepage: https://cran.r-project.org/package=abnormality
Description: CRAN Package 'abnormality' (Measure a Subject's Abnormality with Respect to a ReferencePopulation)
 Contains the functions to implement the methodology and considerations laid
 out by Marks et al. in the manuscript Measuring Abnormality in High
 Dimensional Spaces: Applications in Biomechanical Gait Analysis. As of
 2/27/2018 this paper has been submitted and is under scientific review.
 Using high-dimensional datasets to measure a subject’s overall level of
 abnormality as compared to a reference population is often needed in
 outcomes research. Utilizing applications in instrumented gait analysis,
 that article demonstrates how using data that is inherently non-independent
 to measure overall abnormality may bias results. A methodology is introduced
 to address this bias to accurately measure overall abnormality in high
 dimensional spaces. While this methodology is in line with previous
 literature, it differs in two major ways. Advantageously, it can be applied
 to datasets in which the number of observations is less than the number of
 features/variables, and it can be abstracted to practically any number of
 domains or dimensions. After applying the proposed methodology to the
 original data, the researcher is left with a set of uncorrelated variables
 (i.e. principal components) with which overall abnormality can be measured
 without bias. Different considerations are discussed in that article in
 deciding the appropriate number of principal components to keep and the
 aggregate distance measure to utilize.

Package: r-cran-abodoutlier
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-abodoutlier_0.1-1.ca2004.1_all.deb
Size: 15164
MD5sum: 843a0ca78e19d83c756f78f9e521a3a6
SHA1: 889aec7261989030fc01a3f6f8ccb8eee8e58b60
SHA256: f5112011cf23ac51c429fa28d6be926f743d8bc07e97528e0afbbd6bddcf0e78
SHA512: c54c489f756631c5cf6f85cab93d121e74fdc9e90c8ea789480a1d93812f3fccb6dde56c8741d460edf6f735f488026340ccf501a8e501ebb5f448850f4af42e
Homepage: https://cran.r-project.org/package=abodOutlier
Description: CRAN Package 'abodOutlier' (Angle-Based Outlier Detection)
 Performs angle-based outlier detection on a given dataframe. Three methods
 are available, a full but slow implementation using all the data that has
 cubic complexity, a fully randomized one which is way more efficient and
 another using k-nearest neighbours. These algorithms are specially well
 suited for high dimensional data outlier detection.

Package: r-cran-abps
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abps_0.3-1.ca2004.1_all.deb
Size: 125268
MD5sum: 6396727f32b7576082130c7e88f0d0ca
SHA1: df0187dfee3a51c2fb32a04bc0d78e4fe8769860
SHA256: fa4415fb161a8762970eaf5fb8c607167e3c0b2e13818054f098ae983f84bfc3
SHA512: 25b49c89885d6f240f59336ec47b335dbd036618249fc9496f12ad9fb8d8a6605a5a76e12bbc3920d7258ed84e0ca1e6e0cda040692b60f58011ee07b0ac622d
Homepage: https://cran.r-project.org/package=ABPS
Description: CRAN Package 'ABPS' (The Abnormal Blood Profile Score to Detect Blood Doping)
 An implementation of the Abnormal Blood Profile Score (ABPS, part of the
 Athlete Biological Passport program of the World Anti-Doping Agency), which
 combines several blood parameters into a single score in order to detect
 blood doping (Sottas et al. (2006) <doi:10.2202/1557-4679.1011>). The
 package also contains functions to calculate other scores used in
 anti-doping programs, such as the OFF-score (Gore et al. (2003)
 <http://www.haematologica.org/content/88/3/333>), as well as example data.

Package: r-cran-abrsqol
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-abrsqol_1.0.0-1.ca2004.1_all.deb
Size: 28224
MD5sum: d3a06d289d370fc4d14e90f5324ad01a
SHA1: aeb3eb70424cdb7a26176f22e68b6fa276c5637a
SHA256: a0387b2d771f35ad4467ab9aad011ce7502ad900a27c0ec90ec0f8e5a4372fc3
SHA512: 6dcf50f04e4a4abec43e871798676544cfac2d35f16ec45f64a776579cdfad19492abcb77d3dbcdc353eca64b617510b4c282aa062641e0c16d43c33c965b17c
Homepage: https://cran.r-project.org/package=ABRSQOL
Description: CRAN Package 'ABRSQOL' (Quality-of-Life Solver for "Measuring Quality of Life underSpatial Frictions")
 This toolkit implements a numerical solution algorithm to invert a quality
 of life measure from observed data. Unlike the traditional Rosen-Roback
 measure, this measure accounts for mobility frictions—generated by
 idiosyncratic tastes and local ties — and trade frictions — generated by
 trade costs and non-tradable services, thereby reducing non-classical
 measurement error. The QoL measure is based on Ahlfeldt, Bald, Roth, Seidel
 (2024) <https://econpapers.repec.org/RePEc:boc:bocode:s459382> "Measuring
 Quality of Life under Spatial Frictions". When using this programme or the
 toolkit in your work, please cite the paper.

Package: r-cran-abseil
Architecture: all
Version: 2023.8.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10768
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-abseil_2023.8.2.1-1.ca2004.1_all.deb
Size: 1536352
MD5sum: 7932d9fcba9d8b47b9e32d62c0c1e475
SHA1: 3980479caf529e3ca645afbd60139eef04a70957
SHA256: 434dc5c3632599dfc22dd10cbca9d5711d80138cfe4591ee97c645ad7bc25fab
SHA512: 539202ef7209a92d328cc1936b5ea57392e3eb1a5c1dbb85228ae6918a6dc854effbc31a5da133d69371b0411ded70cf470d49cef0a967ba12e9da9da63be75e
Homepage: https://cran.r-project.org/package=abseil
Description: CRAN Package 'abseil' ('C++' Header Files from 'Abseil')
 Wraps the 'Abseil' 'C++' library for use by R packages.  Original files are
 from <https://github.com/abseil/abseil-cpp>.  Patches are located at
 <https://github.com/doccstat/abseil-r/tree/main/local/patches>.

Package: r-cran-absorber
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-sparsegl, r-cran-fda, r-cran-ggplot2, r-cran-mass, r-cran-irlba
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-absorber_1.0-1.ca2004.1_all.deb
Size: 93612
MD5sum: 3c16ba369671e5456331b87c0148aa1e
SHA1: 392ddadd623e61d8fd23c9ab82dec9beb2637a6a
SHA256: 06768b4951af91d69f9ccc0a1c7b5aa00d2d5162e178f7535dc858a393fb8148
SHA512: e0bc763dd1ec21222d0b70ad0f4ea94640c9b877a345a5b84fb55a0406140baebc11c783b9c739a39e5b9e0e0e4bd322cd3939b2a152ca38a438fed9776e4935
Homepage: https://cran.r-project.org/package=absorber
Description: CRAN Package 'absorber' (Variable Selection in Nonparametric Models using B-Splines)
 A variable selection method using B-Splines in multivariate nOnparametric
 Regression models Based on partial dErivatives Regularization (ABSORBER)
 implements a novel variable selection method in a nonlinear multivariate
 model using B-splines. For further details we refer the reader to the paper
 Savino, M. E. and Lévy-Leduc, C. (2024), <https://hal.science/hal-04434820>.

Package: r-cran-abstr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4603
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-lwgeom, r-cran-magrittr, r-cran-od, r-cran-sf, r-cran-tibble
Suggests: r-cran-knitr, r-cran-dplyr, r-cran-rmarkdown, r-cran-tmap, r-cran-pct, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-abstr_0.4.1-1.ca2004.1_all.deb
Size: 3223116
MD5sum: 118761372f1c5d6bdb4b3665ed65f089
SHA1: 6a6734b14710daee9717a032e89c5f7704da4925
SHA256: 508ebf42eb6c6c068b7474112fb1ca56b0006c90897937e7f04f9d4f7877afef
SHA512: c41dcd91d0014bc50800bda6054ee23fc15eeaf1da231f175bfd3d17edf021129eb26d286a1725f56f5f7d79d536f986097a7be4561adb43e8f2ca960edf756f
Homepage: https://cran.r-project.org/package=abstr
Description: CRAN Package 'abstr' (R Interface to the A/B Street Transport System SimulationSoftware)
 Provides functions to convert origin-destination data, represented as
 straight 'desire lines' in the 'sf' Simple Features class system, into JSON
 files that can be directly imported into A/B Street
 <https://www.abstreet.org>, a free and open source tool for simulating urban
 transport systems and scenarios of change <doi:10.1007/s10109-020-00342-2>.

Package: r-cran-abstractr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-gridextra, r-cran-colourpicker, r-cran-shinythemes, r-cran-emojifont, r-cran-rintrojs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-abstractr_0.1.0-1.ca2004.1_all.deb
Size: 358564
MD5sum: a25d55afbab1817a8e92c04118b8a34a
SHA1: 1c9c3ce6011b79ab1f4180167a546e9dec6750c4
SHA256: 778d009d7afbaec705127e73102b122296343b24dda0fcd0963e3d42fee0c660
SHA512: 55a23ca9787a575d97c561c82176644447f97a9a55c3ef86b55d59acacbe7b96ff7495cf9425de3343cd1ec0c0dd46e918789baf955143b735ba6fd55a2cb9c2
Homepage: https://cran.r-project.org/package=abstractr
Description: CRAN Package 'abstractr' (An R-Shiny Application for Creating Visual Abstracts)
 An R-Shiny application to create visual abstracts for original research. A
 variety of user defined options and formatting are included.

Package: r-cran-absurvtdc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-absurvtdc_0.1.0-1.ca2004.1_all.deb
Size: 50288
MD5sum: 9ec5e1949ac59db1a85443343c74f0ef
SHA1: a419238ec451be499a9953643407dcfad1a4a860
SHA256: e24136048ff9584b5c773809ee77d7d66547348149fa2f14ab4739ddf702ef2b
SHA512: 4932683e7d2cc4394ccafdf2a70ffe924a1206d92121a4da8a7ebe12d929acdd34fb2568ea427885aff7a137316936c2306af9f9bc25529f4c7da1e5e470ccfb
Homepage: https://cran.r-project.org/package=ABSurvTDC
Description: CRAN Package 'ABSurvTDC' (Survival Analysis using Time Dependent Covariate for AnimalBreeding)
 Survival analysis is employed to model the time it takes for events to
 occur. Survival model examines the relationship between survival and one or
 more predictors, usually termed covariates in the survival-analysis
 literature. To this end, Cox-proportional (Cox-PH) hazard rate model
 introduced in a seminal paper by Cox (1972)
 <doi:10.1111/j.2517-6161.1972.tb00899.x>, is a broadly applicable and the
 most widely used method of survival analysis. This package can be used to
 estimate the effect of fixed and time-dependent covariates and also to
 compute the survival probabilities of the lactation of dairy animal. This
 package has been developed using algorithm of Klein and Moeschberger (2003)
 <doi:10.1007/b97377>.

Package: r-cran-ac3net
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ac3net_1.2.2-1.ca2004.1_all.deb
Size: 1378528
MD5sum: 299882678f493ed754933e84d5a7d16e
SHA1: 8f90922339333489dff2ba412604c54c5c2a3f83
SHA256: da10d5752656441998b7eb2e7ca817963182f76ab1162746c054b13b4cd0dbb8
SHA512: 017ea623cb579c78602e72ca60e216e93a7f6ee739bb12a07b3f098837c1f7aaaaf2beb992daa684df4c4f95d5c4efb946466058809fd7a56af5179fdf0d0d8a
Homepage: https://cran.r-project.org/package=Ac3net
Description: CRAN Package 'Ac3net' (Inferring Directional Conservative Causal Core Gene Networks)
 Infers directional conservative causal core (gene) networks. It is an
 advanced version of the algorithm C3NET by providing directional network.
 Gokmen Altay (2018) <doi:10.1101/271031>, bioRxiv.

Package: r-cran-aca
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aca_1.1-1.ca2004.1_all.deb
Size: 59748
MD5sum: ee2957fe5af88b71cdc8a44af4c7428c
SHA1: a586101aaca974fd6fbd2c4ffb77f646c86b90b8
SHA256: d6abde1a93549ed7ab6ceab3d2c4d64fb879b406a55e7eff851d1c39c0def495
SHA512: 76ec1adf5a33cd14724708176d8401b96d9418fedb3976d8b60dfd8a5265bd2435d9fd463a438d9c64064c37a3d50b478807892edec1f8af637529bdafa0d955
Homepage: https://cran.r-project.org/package=ACA
Description: CRAN Package 'ACA' (Abrupt Change-Point or Aberration Detection in Point Series)
 Offers an interactive function for the detection of breakpoints in series.

Package: r-cran-academicthemes
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-academicthemes_0.0.2-1.ca2004.1_all.deb
Size: 1023504
MD5sum: 837e226d1b7aa5e99f4d7dffd10df216
SHA1: 259c7fd6424b9b43ead55f54593c40098eea3ceb
SHA256: 3d977e55db81fb8db091d0b0f091722acba547e812622d2e3a3cb9ba073a49ad
SHA512: 99513c9e3b0bafb7d489f3db989a3588c9fd9c09a8277acef71665c4559c4b4ae2c836f07b4f48e46f835a731aa8cdecc59794ebf163e530ee51bbee32f16cd4
Homepage: https://cran.r-project.org/package=AcademicThemes
Description: CRAN Package 'AcademicThemes' (Colour Plots with Palettes from Academic Institutions)
 Functionality to allow users to easily colour plots with the colour palettes
 of various academic institutions.

Package: r-cran-academictwitter
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3328
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-lubridate, r-cran-usethis, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-testthat, r-cran-httptest, r-cran-lifecycle, r-cran-covr
Filename: pool/dists/focal/main/r-cran-academictwitter_0.3.1-1.ca2004.1_all.deb
Size: 2283680
MD5sum: fed553db6a6bef07ab928ce96472e9e6
SHA1: cc8a869f254bba7e0d61bde45af3b3bb55121584
SHA256: e680ff913455585345b341cf3873c1537549f186099a61b1a3e66becb5bfd117
SHA512: d187b3dbe577340c97b4f688e1def29d2ed614695a1976c33b8c7c686b68358468fd363687ab9a9db695cf1823e8add9142726a6ca9f284146bb412880b45fef
Homepage: https://cran.r-project.org/package=academictwitteR
Description: CRAN Package 'academictwitteR' (Access the Twitter Academic Research Product Track V2 APIEndpoint)
 Package to query the Twitter Academic Research Product Track, providing
 access to full-archive search and other v2 API endpoints. Functions are
 written with academic research in mind. They provide flexibility in how the
 user wishes to store collected data, and encourage regular storage of data
 to mitigate loss when collecting large volumes of tweets. They also provide
 workarounds to manage and reshape the format in which data is provided on
 the client side.

Package: r-cran-acca
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-acca_0.2-1.ca2004.1_all.deb
Size: 54016
MD5sum: 3e71e85013f1fafe0cdd1d9d5fc3fc6c
SHA1: bb02948e9d4a449aab34ee57896e20cfba3f2d55
SHA256: a9153f77c72676f661bdf7b2c9e695d1b701ad7eb4c21b06158e8e1f57ac5080
SHA512: 832dee4939b17867d17c3a53cbf31d599c279bd15378e2bcb1b9abe76add0b107f86718536cd760e470920fe3fe7ae8e2fdef6be3d3b9f1e884c52d696d6a68d
Homepage: https://cran.r-project.org/package=acca
Description: CRAN Package 'acca' (A Canonical Correlation Analysis with Inferential Guaranties)
 It performs Canonical Correlation Analysis and provides inferential
 guaranties on the correlation components. The p-values are computed
 following the resampling method developed in Winkler, A. M., Renaud, O.,
 Smith, S. M., & Nichols, T. E. (2020). Permutation inference for canonical
 correlation analysis. NeuroImage, <doi:10.1016/j.neuroimage.2020.117065>.
 Furthermore, it provides plotting tools to visualize the results.

Package: r-cran-accelmissing
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4843
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mice, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-accelmissing_2.2-1.ca2004.1_all.deb
Size: 4924868
MD5sum: 088acf0190bd49d29eb29b30490f0370
SHA1: 446cd65ed2916c74b982ad0b6614a31222b89394
SHA256: 379cdacd864e096f769be2862eea5d19cb12dc6aa547e9b2fd14ed330b07b737
SHA512: 3246c1eed7f2dbad1a91e920ddbe5e04a99fc650c6bbaa8b379befbc641898b1ab6956fdb599686369656e9078bba2d4229b5168b39b5b14c6b5c4d9f8e1928e
Homepage: https://cran.r-project.org/package=accelmissing
Description: CRAN Package 'accelmissing' (Missing Value Imputation for Accelerometer Data)
 We present a statistical method for imputing missing values in accelerometer
 data. The methodology includes both parametric and semi-parametric multiple
 imputation under the zero-inflated Poisson lognormal model. It also offers
 several functions to preprocess accelerometer data before imputation. These
 include detecting wear and non-wear time, selecting valid days and subjects,
 and generating plots.

Package: r-cran-accelstab
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-minpack.lm, r-cran-mvtnorm, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-accelstab_2.2.1-1.ca2004.1_all.deb
Size: 775556
MD5sum: 33438e031ef3ea66ac3d741d7d992728
SHA1: ca4071311a437271a410e59f6949748af3dfb0c9
SHA256: c42220826b2d0ec86ee93c7603a607337e3e5b78857ed189eb4975bda37775aa
SHA512: 7d1c89d000d0f2298a49d0558a9a8935c8d201fec2f696034d51f21d5ca5a15f5712a1d732613512f3a00be781080d19c3e021315f66a3d2816eb834f324041b
Homepage: https://cran.r-project.org/package=AccelStab
Description: CRAN Package 'AccelStab' (Accelerated Stability Kinetic Modelling)
 Estimate the Šesták–Berggren kinetic model (degradation model) from
 experimental data.  A closed-form (analytic) solution to the degradation
 model is implemented as a non-linear fit, allowing for the extrapolation of
 the degradation of a drug product - both in time and temperature. Parametric
 bootstrap, with kinetic parameters drawn from the multivariate
 t-distribution, and analytical formulae (the delta method) are available
 options to calculate the confidence and prediction intervals.  The results
 (modelling, extrapolations and statistical intervals) can be visualised with
 multiple plots. The examples illustrate the accelerated stability modelling
 in drugs and vaccines development.

Package: r-cran-accept
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 824
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tidyselect, r-cran-dplyr, r-cran-reldist, r-cran-tibble, r-cran-hardhat, r-cran-vctrs, r-cran-vetiver
Suggests: r-cran-jsonlite, r-cran-plotly, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-accept_1.0.2-1.ca2004.1_all.deb
Size: 745528
MD5sum: c6c03201ea4bbc54db1c6f23438f6179
SHA1: 3e3d07f2ef12388c38d0ce9175f372c5a9cce5c2
SHA256: f9dd12b59fd8a372f55ec265151f3f5a8c5c1867b5e5a27ed22ef900a35f355a
SHA512: d1e8ce0507def3e4efe8dc27de5018b99cf650e50684c2427833c682f726aef59c74eb15adbe8133c7326c4459ee4bb159d42e2722cafa584e66071de3110cf1
Homepage: https://cran.r-project.org/package=accept
Description: CRAN Package 'accept' (The Acute COPD Exacerbation Prediction Tool (ACCEPT))
 Allows clinicians to predict the rate and severity of future acute
 exacerbation in Chronic Obstructive Pulmonary Disease (COPD) patients, based
 on the clinical prediction models published in Adibi et al. (2020)
 <doi:10.1016/S2213-2600(19)30397-2> and Safari et al. (2022)
 <doi:10.1016/j.eclinm.2022.101574>.

Package: r-cran-acceptancesampling
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-acceptancesampling_1.0-10-1.ca2004.1_all.deb
Size: 409508
MD5sum: bb478e65dc7a0fafe22ee96f9a2b3bd3
SHA1: f552ceae97d8dc32cbbb2303ca45c64a0a063873
SHA256: 9689b4a83551978d2263fc342626e1e62c7aa039271d4ae44693baead39e0939
SHA512: f74d3e9e0a784a71a027f5fdb93cf2a1bb393a0c9c457e5f26855a38ccd1b080026ad09bb46dd12e68f4703d01556b91597b5b99a0bf4a2b0395641df9e31183
Homepage: https://cran.r-project.org/package=AcceptanceSampling
Description: CRAN Package 'AcceptanceSampling' (Creation and Evaluation of Acceptance Sampling Plans)
 Provides functionality for creating and evaluating acceptance sampling
 plans. Sampling plans can be single, double or multiple.

Package: r-cran-accessibility
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3225
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-hmisc, r-cran-rdpack
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-accessibility_1.4.0-1.ca2004.1_all.deb
Size: 2735092
MD5sum: 7349b44deabb5fa9e0d093ef3cbc5aba
SHA1: da9bbe222fe3b8ef3b75bcd07bb3a9cb5a684281
SHA256: 3f3bae0820b94fd4bc7165a824b5427467cba634d016a47e1ebcc11f91c8994b
SHA512: afefd277cb36e87aa1ba6c1ec69add5fd5d8c569f5713d54372005e241daafd352a8ffaff1e8de4b9c1b8f11d535831b9f5fad6e95f9f4644d1485c44f98ab8e
Homepage: https://cran.r-project.org/package=accessibility
Description: CRAN Package 'accessibility' (Transport Accessibility Measures)
 A set of fast and convenient functions to help conducting accessibility
 analyses. Given a pre-computed travel cost matrix and a land use dataset
 (containing the location of jobs, healthcare and population, for example),
 the package allows one to calculate accessibility levels and accessibility
 poverty and inequality. The package covers the majority of the most commonly
 used accessibility measures (such as cumulative opportunities, gravity-based
 and floating catchment areas methods), as well as the most frequently used
 inequality and poverty metrics (such as the Palma ratio, the concentration
 and Theil indices and the FGT family of measures).

Package: r-cran-accessr
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 891
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-flextable, r-cran-htmltools, r-cran-huxtable, r-cran-jpeg, r-cran-officer, r-cran-officedown, r-cran-pagedown, r-cran-png, r-cran-xfun, r-cran-zip, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-accessr_1.1.3-1.ca2004.1_all.deb
Size: 463152
MD5sum: d294ef561fb8ec426f698002e26237a7
SHA1: b7494ec44295f2673a1c0f6e3375d6378530cdcb
SHA256: 97b9db68a5bebc581923560358ddeedda1a82c55e1280e8fa424f65940ffdacf
SHA512: e7c40cd33a1413504e2e078dc3c09f36c6872d5c86c3d556497a513e930aa1af84f8e784f35846493cee3fd7f59fc63d1ee9e14364e8de6906f62b96b1f082a9
Homepage: https://cran.r-project.org/package=accessr
Description: CRAN Package 'accessr' (Command Line Tools to Produce Accessible Documents using 'RMarkdown')
 Provides functions to produce accessible 'HTML' slides, 'HTML', 'Word' and
 'PDF' documents from input 'R markdown' files. Accessible 'PDF' files are
 produced only on a 'Windows' Operating System. One aspect of accessibility
 is providing a headings structure that is recognised by a screen reader,
 providing a navigational tool for a blind or partially-sighted person. A key
 aim is to produce documents of different formats easily from each of a
 collection of 'R markdown' source files.  Input 'R markdown' files are
 rendered using the render() function from the 'rmarkdown' package
 <https://cran.r-project.org/package=rmarkdown>. A 'zip' file containing
 multiple output files can be produced from one function call. A
 user-supplied template 'Word' document can be used to determine the
 formatting of an output 'Word' document. Accessible 'PDF' files are produced
 from 'Word' documents using 'OfficeToPDF'
 <https://github.com/cognidox/OfficeToPDF>. A convenience function,
 install_otp() is provided to install this software. The option to print
 'HTML' output to (non-accessible) 'PDF' files is also available.

Package: r-cran-accessrmd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-htmltools, r-cran-stringr, r-cran-rlist, r-cran-knitr, r-cran-rcurl
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-markdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-accessrmd_1.0.0-1.ca2004.1_all.deb
Size: 80500
MD5sum: 3ea45e352d43dbf0a3afad1a7c0a1e48
SHA1: dbe8fb5aaf3ca9de99ae7116ad5acb8480bcf079
SHA256: af0857670e09769d0906c0cfb0653741413af40c3934fc867a9cf16230de303f
SHA512: f3d47f41f3244746e3ebccbb1478008bef571d2fc826fef390769938f2ef366af40ca3f5192c07fa9f26d4c06730619633e33c605b52e5f6de5b862eb5259d81
Homepage: https://cran.r-project.org/package=accessrmd
Description: CRAN Package 'accessrmd' (Improving the Accessibility of 'rmarkdown' Documents)
 Provides a simple method to improve the accessibility of 'rmarkdown'
 documents. The package provides functions for creating or modifying
 'rmarkdown' documents, resolving known errors and alerts that result in
 accessibility issues for screen reader users.

Package: r-cran-accrual
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tcltk2, r-cran-fgui, r-cran-smpracticals
Filename: pool/dists/focal/main/r-cran-accrual_1.4-1.ca2004.1_all.deb
Size: 59604
MD5sum: 6dedfb4ed1581c113ac5c930f4f6d66e
SHA1: faf1fbfe768bef190486483f66ffdd372b507539
SHA256: 6f0b1481d7c52b25565ff428803bfe4550224b85c11d61f820a1fdfbcb2420f8
SHA512: bf1e53316401c2dd10533c44d365eb5a48b2d74de69c36646925fb29e5024d6208621ff67527b65df6f3bef08dbc967c69784ce794cd892c6bb25e81b6b009ff
Homepage: https://cran.r-project.org/package=accrual
Description: CRAN Package 'accrual' (Bayesian Accrual Prediction)
 Participant recruitment for medical research is challenging. Slow accrual
 leads to delays in research. Accrual monitoring during the process of
 recruitment is critical. Researchers need reliable tools to manage the
 accrual rate. We developed a Bayesian method that integrates the
 researcher's experience with previous trials and data from the current
 study, providing reliable predictions on accrual rate for clinical studies.
 For more details and background on these methodologies, see the publications
 of Byron, Stephen and Susan (2008) <doi:10.1002/sim.3128>, and Yu et al.
 (2015) <doi:10.1002/sim.6359>. In this R package, Bayesian accrual
 prediction functions are presented, which can be easily used by
 statisticians and clinical researchers.

Package: r-cran-accrualplot
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-markdown, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-accrualplot_1.0.7-1.ca2004.1_all.deb
Size: 278164
MD5sum: c063ef6c6a1bb9fc3fea11de34ceef08
SHA1: bc4d89a4dbbbd1cc12d6e36d002829c5cc3b5cee
SHA256: bbfa5a4b39f04b2fda7858765d0ec79230e4051772074f980c3e703275326653
SHA512: 25930212cd9942357763754bdb01c07fbfe0868a5d92f9ec5d6e125fe78f33005079be09f62172a358dc231ea58c83de6adfb8d5f8db5ac9b8bdff1c87461293
Homepage: https://cran.r-project.org/package=accrualPlot
Description: CRAN Package 'accrualPlot' (Accrual Plots and Predictions for Clinical Trials)
 Tracking accrual in clinical trials is important for trial success.  If
 accrual is too slow, the trial will take too long and be too expensive. If
 accrual is much faster than expected, time sensitive tasks such as the
 writing of statistical analysis plans might need to be rushed. 'accrualPlot'
 provides functions to aid the tracking of accrual and predict when a trial
 will reach it's intended sample size.

Package: r-cran-accsamplingdesign
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 739
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-accsamplingdesign_0.0.4-1.ca2004.1_all.deb
Size: 448396
MD5sum: 651f5f2e72550c83e38c7cc4f2644b23
SHA1: 4e8aa7edd5a83575791f0fc6bfd50fcd2e00ae47
SHA256: 612ddc88187e07bc6451851810588f065750cfe5139f00bc35bf06824a50e42a
SHA512: c77a55c017cb3a6c63298823a0c442e66dde408988cffd4821b4cd03c27539c506fd73d7a85562e4cdbb35318b52e52bf2f364852bf6bac39f387d5bab965d84
Homepage: https://cran.r-project.org/package=AccSamplingDesign
Description: CRAN Package 'AccSamplingDesign' (Acceptance Sampling Plans Design)
 Provides tools for designing and analyzing Acceptance Sampling plans.
 Supports both Attributes Sampling (Binomial and Poisson distributions) and
 Variables Sampling (Normal and Beta distributions), enabling quality control
 for fractional and compositional data. Uses nonlinear programming for
 sampling plan optimization, minimizing sample size while controlling
 producer's and consumer's risks. Operating Characteristic curves are
 available for plan visualization.

Package: r-cran-accsda
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-accsda_1.1.3-1.ca2004.1_all.deb
Size: 241944
MD5sum: 7d364da5cd11c2c90e562b8aa28df779
SHA1: 6546d63aaecaa7cb69a25479118fe33a9d45ca2e
SHA256: 1882528b9370d167fbe5a72c6da8c3ebe7ee7e744b0b45ce1a30044e0b996a0a
SHA512: 8d789faea946cdc126252ea41b5c573c541e0e5e092ed0e4975738c7aade5cb5ee730cb03c9644c99f641037ff9120551ff14cc5f9f4fb81376bb257e2f3793e
Homepage: https://cran.r-project.org/package=accSDA
Description: CRAN Package 'accSDA' (Accelerated Sparse Discriminant Analysis)
 Implementation of sparse linear discriminant analysis, which is a supervised
 classification method for multiple classes. Various novel optimization
 approaches to this problem are implemented including alternating direction
 method of multipliers ('ADMM'), proximal gradient (PG) and accelerated
 proximal gradient ('APG') (See Atkins 'et al'. <arXiv:1705.07194>).
 Functions for performing cross validation are also supplied along with basic
 prediction and plotting functions.  Sparse zero variance discriminant
 analysis ('SZVD') is also included in the package (See Ames and Hong,
 <arXiv:1401.5492>). See the 'github' wiki for a more extended description.

Package: r-cran-accucor
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nnls, r-cran-dplyr, r-cran-stringr, r-cran-readxl, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-writexl, r-cran-chnosz
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-accucor_0.3.1-1.ca2004.1_all.deb
Size: 726860
MD5sum: 38000d101873764916a5246baa4bcef2
SHA1: 6d9ece955361957d93a1f02b3370fdf27ce2a917
SHA256: 75d937709abe36e9d794666de4692477885feab512097a4a35008c9152f247be
SHA512: 7b29cc6a3d44f4a635ce5dca46f6fb42f22f263a312a0dc1930e37dfad8bce4fb115a26b9803413685406d649ecd7f2189474df147143ebee50b902626badba6
Homepage: https://cran.r-project.org/package=accucor
Description: CRAN Package 'accucor' (Natural Abundance Correction of Mass Spectrometer Data)
 An isotope natural abundance correction algorithm that is needed especially
 for high resolution mass spectrometers. Supports correction for 13C, 2H and
 15N. Su X, Lu W and Rabinowitz J (2017) <doi:10.1021/acs.analchem.7b00396>.

Package: r-cran-accumulate
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest, r-cran-simplermarkdown, r-cran-validate
Filename: pool/dists/focal/main/r-cran-accumulate_1.0.0-1.ca2004.1_all.deb
Size: 92588
MD5sum: 79c9dfa847cfc4fb712124f8f07a851c
SHA1: a43fae174a432aa79c215cc35f4869671f0e6582
SHA256: 8067038d995b21a2696798679113ab27d6b0071f12ffb645a0be93f5723d0d84
SHA512: 36834cac8328a22720e12e71690ea6e05f539d809c8348801cca6dc638a95dba604f46b5997eb89cd00242112558aeada68b196229e845cc5ef1746a8e40a5cb
Homepage: https://cran.r-project.org/package=accumulate
Description: CRAN Package 'accumulate' (Split-Apply-Combine with Dynamic Groups)
 Estimate group aggregates, where one can set user-defined conditions that
 each group of records must satisfy to be suitable for aggregation. If a
 group of records is not suitable, it is expanded using a collapsing scheme
 defined by the user. A paper on this package was published in the Journal of
 Statistical Software <doi:10.18637/jss.v112.i04>.

Package: r-cran-acd
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-acd_1.5.3-1.ca2004.1_all.deb
Size: 246780
MD5sum: dab9843221556f8709acfa7af7a12e7c
SHA1: f5d7ff006081294dcb65dbba445fec9b3742daca
SHA256: c9d11679aeb137ad919a1414a1f6f053ce65e14e9a31d1252bff74e4f9980ac2
SHA512: 127ff18f7d117cd3d8324d01706fce36193a2a309b4bf2b1b88b156fd51e856a6dc0b933c06ffccac1a4e456e5d243dc509ac48c00aaf5280c95c2bb6ae31414
Homepage: https://cran.r-project.org/package=ACD
Description: CRAN Package 'ACD' (Categorical data analysis with complete or missing responses)
 Categorical data analysis with complete or missing responses

Package: r-cran-acdc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-desolve, r-cran-dplyr, r-cran-tibble, r-cran-colorspace, r-cran-patchwork, r-cran-latex2exp, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ape
Filename: pool/dists/focal/main/r-cran-acdc_1.0.0-1.ca2004.1_all.deb
Size: 1163660
MD5sum: 165e9701e73beeb7003cb6158ae7545b
SHA1: b2cdef10f750a4f5e6ac3e5584f56cb24dd0627f
SHA256: fa863c1a60a92dcf55dafa6a3fccc989e00c4d1bf35dd2dd4c70dc4e20c03228
SHA512: da8dd0c254ee3da2c1dd8a154d2f11f891d71163a8b15a93f85cd940f205da162e93570464df93486c5956c99a0347133ebb340328cfb3fd7f76614bf1cd2b75
Homepage: https://cran.r-project.org/package=ACDC
Description: CRAN Package 'ACDC' (Analysis of Congruent Diversification Classes)
 Features tools for exploring congruent phylogenetic birth-death models. It
 can construct the pulled speciation- and net-diversification rates from a
 reference model. Given alternative speciation- or extinction rates, it can
 construct new models that are congruent with the reference model.
 Functionality is included to sample new rate functions, and to visualize the
 distribution of one congruence class. See also Louca & Pennell (2020)
 <doi:10.1038/s41586-020-2176-1>.

Package: r-cran-acdcquery
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-acdcquery_1.0.1-1.ca2004.1_all.deb
Size: 59496
MD5sum: 5bc3f3699b55073cd2fd86971f204da2
SHA1: 25a06b3b1f1b49a910354748f1cc55d9dbd644d2
SHA256: 3a8d87810ca880c8d817f1f1a6006e528d7f412fc36b6439f89f68e4dbe86fef
SHA512: 63602956fbe46175e40cb24c0237326c7403a846156cb5c78d5f9a7acb0d1d4b5f744ba4b0a12fbde48b3e660525282db80e75d1db04fbee4df24436dc7f9993
Homepage: https://cran.r-project.org/package=acdcquery
Description: CRAN Package 'acdcquery' (Query the Attentional Control Data Collection)
 Interact with the Attentional Control Data Collection (ACDC).  Connect to
 the database via connect_to_db(), set filter arguments via add_argument()
 and query the database via query_db().

Package: r-cran-acdcr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-raster, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-acdcr_1.0.0-1.ca2004.1_all.deb
Size: 38408
MD5sum: f828e189690ff0e8ec1aea669b790c2f
SHA1: c42b2017164b8cafdd7d1cb2a610043e0160f5df
SHA256: d54bf33609ed510c953dd171bf2f592f2e87bfac791eae437f333cbe7e10f223
SHA512: ee01a764d652abc1bbec097673f5ee749980d52b35a4e539e4e8788bbb22bf930a0ec004acf58169abe7057ae8b7f58251e3f9e427fdb71512ce2cde38c8be29
Homepage: https://cran.r-project.org/package=acdcR
Description: CRAN Package 'acdcR' (Agro-Climatic Data by County)
 The functions are designed to calculate the most widely-used county-level
 variables in agricultural production or agricultural-climatic and weather
 analyses. To operate some functions in this package needs download of the
 bulk PRISM raster. See the examples, testing versions and more details from:
 <https://github.com/ysd2004/acdcR>.

Package: r-cran-ace.coco
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quantreg
Suggests: r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ace.coco_0.1-1.ca2004.1_all.deb
Size: 18192
MD5sum: 5cb659d0acf16ab7a54a965c890548ef
SHA1: 3a51fe62cebecd5f20513e2c61a5e75f564c9f95
SHA256: 6ad64ace87a42d40b458da97561d5a1ba0d2e30c98b242f4b2203e0e40c046bd
SHA512: 0b28714a6b6615480b6cfa474e69ccef5518e9926cb2dcefd304870e319f915dc68d9d1bdf7f14c7659a2f400a470b9d903a0166a65c06f1e4487cbfc861b91a
Homepage: https://cran.r-project.org/package=ACE.CoCo
Description: CRAN Package 'ACE.CoCo' (Analysis of Correlated High-Dimensional Expression (ACE) Data)
 A function for estimating factor models. Give factor-adjusted statistics,
 factor-adjusted mean estimation (one-sample test) or factor-adjusted mean
 difference estimation (two-sample test).

Package: r-cran-ace2fastq
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ace2fastq_0.6.0-1.ca2004.1_all.deb
Size: 25764
MD5sum: 300381e9a94a27050514600a8ab912ef
SHA1: 13bab40b3bdb1d99785b5ecf5c57ac08cb98cfe0
SHA256: 0004f78b9997b3895feaf3c3f04cdcc0771290887432eca20af1a458b2dd21a5
SHA512: 3b6cd9e4bb1a7c4debbd0cee8c16f8496a1f1efa9e0c7b00ed97d253f0eff26cbe80819a7f29ce96dd4d3a7e41ba955e851bea0e280f64b9f0da60c4e219aeaf
Homepage: https://cran.r-project.org/package=ace2fastq
Description: CRAN Package 'ace2fastq' (ACE File to FASTQ Converter)
 The ACE file format is used in genomics to store contigs from sequencing
 machines.  This tools converts it into FASTQ format. Both formats contain
 the sequence characters and their corresponding quality information. Unlike
 the FASTQ file, the ace file stores the quality values numerically.  The
 conversion algorithm uses the standard Sanger formula. The package
 facilitates insertion into pipelines, and content inspection.

Package: r-cran-aceeditor
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11922
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-reactr, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-aceeditor_1.0.1-1.ca2004.1_all.deb
Size: 1592740
MD5sum: b781ac1aada586e9982dbe5f2820fa64
SHA1: 1a9164e518ac79d7769c10c5b5626a913e317322
SHA256: 3246ba11098801e637a047a4e58ddc95e01e8dabcbb3546ef89bb3845582e3de
SHA512: d23a30b6b04eaf8e41480cd0db5ba88efee1d92042cc40474ec69169a039cd14c761d4fac528f3c37c1ba7cfe6bfb7e591851fac5480f8210cdaf1ea607cb992
Homepage: https://cran.r-project.org/package=aceEditor
Description: CRAN Package 'aceEditor' (The 'Ace' Editor as a HTML Widget)
 Wraps the 'Ace' editor in a HTML widget. The 'Ace' editor has support for
 many languages. It can be opened in the viewer pane of 'RStudio', and this
 provides a second source editor.

Package: r-cran-acep
Architecture: all
Version: 0.0.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1867
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acep_0.0.22-1.ca2004.1_all.deb
Size: 1591388
MD5sum: da34e9b5fbc247e3551757ad5e421c88
SHA1: 62983c6de0e3e9a69ba333af16bdd1eafd514381
SHA256: ca85ff1321eafe29e0fe9d11589a2aac725cdb2e0d5fcf129028a2e2f3fc10d2
SHA512: 76b3dca6de744f396ecd34f910dc58b397030c924777548d3e747029f8335d1b752f536a54cce5056c7a07fced24c09da001d49bff4eb5a61cb3d5679938a675
Homepage: https://cran.r-project.org/package=ACEP
Description: CRAN Package 'ACEP' (Analisis Computacional de Eventos de Protesta)
 La libreria 'ACEP' contiene funciones especificas para desarrollar analisis
 computacional de eventos de protesta. Asimismo, contiene base de datos con
 colecciones de notas sobre protestas y diccionarios de palabras
 conflictivas. Coleccion de diccionarios que reune diccionarios de diferentes
 origenes.  The 'ACEP' library contains specific functions to perform
 computational analysis of protest events. It also contains a database with
 collections of notes on protests and dictionaries of conflicting words.
 Collection of dictionaries that brings together dictionaries from different
 sources.

Package: r-cran-acesearch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acesearch_1.0.0-1.ca2004.1_all.deb
Size: 25904
MD5sum: 5261f5689a2aee6cdd1d34da31e843cc
SHA1: 0e68b903c5eda1ddab1f94b710ff566c01a76f5c
SHA256: 66ae0bc3932fae9463fbaf1a5359a907d0cf6548663abda909d428ba228c0b26
SHA512: 2d6f41e0d19acdcad6b68221c88b0f040c248eceb525638b2682fa52bfacf7c2e15c6f5fb342ec16891c21f945f88d2a5675ed52df5de76f213de6843c17c477
Homepage: https://cran.r-project.org/package=ACEsearch
Description: CRAN Package 'ACEsearch' ('ACE' Search Engine API)
 'ACE' (Advanced Cohort Engine) is a powerful tool that allows constructing
 cohorts of patients extremely quickly and efficiently. This package is
 designed to interface directly with an instance of 'ACE' search engine and
 facilitates API queries and data dumps. Prerequisite is a good knowledge of
 the temporal language to be able to efficiently construct a query.  More
 information available at <https://shahlab.stanford.edu/start>.

Package: r-cran-acesimfit
Architecture: all
Version: 0.0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-openmx
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-acesimfit_0.0.0.9-1.ca2004.1_all.deb
Size: 51664
MD5sum: 9fb61cb05f9479228a67f90a78cecf1f
SHA1: 602fcda5d628453fc5b93a3c67d497b92afec9a2
SHA256: f9ec0e9cff005fa44017dbcb884d8ded88e02aceb70459a3c8a2e39b58d3cbe8
SHA512: 5afb4642e1a6877c1bd9ea0e3267cb5add2ec9dff1cdc700ac6619c3594525fb57bbd3a58c49090a8dd0d6413fac0e88c2f0c04edef4cf239e08158c9e802dd4
Homepage: https://cran.r-project.org/package=ACEsimFit
Description: CRAN Package 'ACEsimFit' (ACE Kin Pair Data Simulations and Model Fitting)
 A few functions aim to provide a statistic tool for three purposes. First,
 simulate kin pairs data based on the assumption that every trait is affected
 by genetic effects (A), common environmental effects (C) and unique
 environmental effects (E).Second, use kin pairs data to fit an ACE model and
 get model fit output.Third, calculate power of A estimate given a specific
 condition. For the mechanisms of power calculation, we suggest to check
 Visscher(2004)<doi:10.1375/twin.7.5.505>.

Package: r-cran-acfmperiod
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-acfmperiod_1.0.0-1.ca2004.1_all.deb
Size: 55884
MD5sum: 6c6546eb7455bce1caa94451f55d44fd
SHA1: a4700442228a7503e7a391667a1f25f42a7a7f6b
SHA256: 19f4841de25b811422b75a7f0da3a8c2a62ca0e0457053579d7119f56d5c6b8e
SHA512: 4780c485eff3f2c884728d2f71a70010f0b7553242f2c5ee6c71783503c477ce8da6705b9a6e839251bcb8e190cad5c64f05832772afac1a2a9ba6f110ddce1d
Homepage: https://cran.r-project.org/package=acfMPeriod
Description: CRAN Package 'acfMPeriod' (Robust Estimation of the ACF from the M-Periodogram)
 Non-robust and robust computations of the sample autocovariance (ACOVF) and
 sample autocorrelation functions (ACF) of univariate and multivariate
 processes. The methodology consists in reversing the diagonalization
 procedure involving the periodogram or the cross-periodogram and the Fourier
 transform vectors, and, thus, obtaining the ACOVF or the ACF as discussed in
 Fuller (1995) <doi:10.1002/9780470316917>. The robust version is obtained by
 fitting robust M-regressors to obtain the M-periodogram or
 M-cross-periodogram as discussed in Reisen et al. (2017)
 <doi:10.1016/j.jspi.2017.02.008>.

Package: r-cran-achilles
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-databaseconnector, r-cran-sqlrender, r-cran-dplyr, r-cran-jsonlite, r-cran-parallellogger, r-cran-readr, r-cran-data.table, r-cran-lubridate, r-cran-tseries, r-cran-rlang
Suggests: r-cran-dt, r-cran-magrittr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-achilles_1.7.2-1.ca2004.1_all.deb
Size: 700520
MD5sum: 9276258fe55670fd7a345a3c729df59d
SHA1: c3ce4cbb0ae055baab0d6be61a5fd6f98a99c184
SHA256: 2f0c84a83b375b9a50e90e759f1cf5b22a07908087aa2ac5b6d79cc6111ba802
SHA512: 8cbeaac44bc6ddb20313f0e70415490a2fd0ecea044e13912fdcf63c1c1193095bc6a5926592a00c56790a60c3319e6bc3c9faf0e79f945de4f61465e611df34
Homepage: https://cran.r-project.org/package=Achilles
Description: CRAN Package 'Achilles' (Achilles Data Source Characterization)
 Automated Characterization of Health Information at Large-Scale Longitudinal
 Evidence Systems. Creates a descriptive statistics summary for an
 Observational Medical Outcomes Partnership Common Data Model standardized
 data source. This package includes functions for executing summary queries
 on the specified data source and exporting reporting content for use across
 a variety of Observational Health Data Sciences and Informatics community
 applications.

Package: r-cran-acid
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist, r-cran-hmisc
Suggests: r-cran-ineq
Filename: pool/dists/focal/main/r-cran-acid_1.1-1.ca2004.1_all.deb
Size: 341488
MD5sum: 34771c3f032cbf3f4d45021ca82df5c7
SHA1: c3c3607eea7db734e187ca1dccfaa27d9b333d6c
SHA256: d05733d1e54e69c75038313afa99e155aec0b3dabfb07e5d4a0a06c9e6b17387
SHA512: 241821dbb02934e9354b07155515cd8453028c4ebced68e3de2e7c15866c2fd8ec6d6570bb98546e235eeb2bcfc8298252249b85be3cef731cabf4b5c3026631
Homepage: https://cran.r-project.org/package=acid
Description: CRAN Package 'acid' (Analysing Conditional Income Distributions)
 Functions for the analysis of income distributions for subgroups of the
 population as defined by a set of variables like age, gender, region, etc.
 This entails a Kolmogorov-Smirnov test for a mixture distribution as well as
 functions for moments, inequality measures, entropy measures and
 polarisation measures of income distributions. This package thus aides the
 analysis of income inequality by offering tools for the exploratory analysis
 of income distributions at the disaggregated level.

Package: r-cran-acled.api
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acled.api_1.1.8-1.ca2004.1_all.deb
Size: 33452
MD5sum: 509a061618aa6448469f818e3bee868a
SHA1: 6d26b540dd2563236787012e2407e08cc67ced52
SHA256: dacc509b3ed772e322bed0455fb9a8cb6d513ece8b49c3fcb505c376cc2419f8
SHA512: f1c7d8d422dc12cace9c704385fdcbce5397ff0e84580aae3542c78d6b96c5778872603d379d121ead96e74df09fde199b547080491ce5bd13c9af4f142fd9c6
Homepage: https://cran.r-project.org/package=acled.api
Description: CRAN Package 'acled.api' (Automated Retrieval of ACLED Conflict Event Data)
 Access and manage the application programming interface (API) of the Armed
 Conflict Location & Event Data Project (ACLED) at <https://acleddata.com/>.
 The package makes it easy to retrieve a user-defined sample (or all of the
 available data) of ACLED, enabling a seamless integration of regular data
 updates into the research work flow. It requires a minimal number of
 dependencies. See the package's README file for a note on replicability when
 drawing on ACLED data. When using this package, you acknowledge that you
 have read ACLED's terms and conditions of use, and that you agree with their
 attribution requirements.

Package: r-cran-acledr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2027
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-janitor, r-cran-rmarkdown, r-cran-readr, r-cran-kableextra, r-cran-ggplot2, r-cran-covr, r-cran-here, r-cran-secret, r-cran-sf, r-cran-raster, r-cran-forcats, r-cran-igraph, r-cran-sjmisc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acledr_0.1.0-1.ca2004.1_all.deb
Size: 1864448
MD5sum: fe742fea52374b714de87751c2a4034b
SHA1: 142a18e4ea0f3230057fd60d1a8ba5579c2b2a9e
SHA256: 9c756f6ff1bc1cdaebd7025344f45aedc1afbb1fe5261a2d068472e04479faba
SHA512: 21236a6a6d620804d993419870cd8a0309bfa42cc7680bed45dc35cd9c040dff43b996a5153a2b9f56e2a0bde1e35620c8a51212297473eea5bf68b4744a1fca
Homepage: https://cran.r-project.org/package=acledR
Description: CRAN Package 'acledR' (Manipulate ACLED Data)
 Tools working with data from ACLED (Armed Conflict Location and Event Data).
 Functions include simplified access to ACLED's API
 (<https://apidocs.acleddata.com/>), methods for keeping local versions of
 ACLED data up-to-date, and functions for common ACLED data transformations.

Package: r-cran-acmer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign
Suggests: r-cran-knitr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-acmer_1.1.0-1.ca2004.1_all.deb
Size: 273260
MD5sum: 74feeb63896b75213bd9f5901a51aab1
SHA1: 9eb88cfa138627558a65f23e08b934df4a061309
SHA256: 67eb18290893d0e60094a59fee9afbf0007b1f2cabacac0bc0906089b9f80a49
SHA512: 93cd4880ece7d41cb6d605c3700ba0d362d8ecca72c1764c4252fcedae1730464bd0619da64fe4b62f51ab5d53d57d033f91caa49b4785af36fdaef9a3adfff9
Homepage: https://cran.r-project.org/package=acmeR
Description: CRAN Package 'acmeR' (Implements ACME Estimator of Bird and Bat Mortality by WindTurbines)
 Implementation of estimator ACME, described in Wolpert (2015), ACME: A
 Partially Periodic Estimator of Avian & Chiropteran Mortality at Wind
 Turbines (submitted). Unlike most other models, this estimator supports
 decreasing-hazard Weibull model for persistence; decreasing search
 proficiency as carcasses age; variable bleed-through at successive searches;
 and interval mortality estimates. The package provides, based on search
 data, functions for estimating the mortality inflation factor in Frequentist
 and Bayesian settings.

Package: r-cran-acne
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-aroma.affymetrix, r-cran-mass, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-matrixstats, r-cran-r.filesets, r-cran-aroma.core
Suggests: r-bioc-dnacopy
Filename: pool/dists/focal/main/r-cran-acne_0.9.1-1.ca2004.1_all.deb
Size: 130064
MD5sum: 4528ff7b42fdf9f25fd0ad4f134f8c1f
SHA1: 43a492e0e5b0e68e1c7e73f72ee508ce3cb93bd8
SHA256: ad1449fb391c9d9296b8f4a996fe4e3c98edea314ff159f34523396e5e15ec71
SHA512: 25fc5fc41d2924208aecc99fc573fcf7fad20000816308d31e0fcfa396cc724e302227bf60916c1cc859602b6630aea300b3d33ef9ee77baaf3460547b5c8e13
Homepage: https://cran.r-project.org/package=ACNE
Description: CRAN Package 'ACNE' (Affymetrix SNP Probe-Summarization using Non-Negative MatrixFactorization)
 A summarization method to estimate allele-specific copy number signals for
 Affymetrix SNP microarrays using non-negative matrix factorization (NMF).

Package: r-cran-acnr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3037
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.utils, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acnr_1.0.0-1.ca2004.1_all.deb
Size: 2820308
MD5sum: 50c414b9da5ceb3b7c2ceb7839ccc195
SHA1: fe9ef2351e77a79246f8c4cc075b47769f8ce64e
SHA256: 748449972cacfbe14ae7133b0b8d53c47f8a8e1932236a41a9f3f203788f6e35
SHA512: b15cc15bbc18f51f132a724ff54e010bd4241be96a75767d58edfaa927e9d1d209b75cec98b5d0c84c10782db9ad4f11cfb7ddd1601871357a107b3d822e5008
Homepage: https://cran.r-project.org/package=acnr
Description: CRAN Package 'acnr' (Annotated Copy-Number Regions)
 Provides SNP array data from different types of copy-number regions. These
 regions were identified manually by the authors of the package and may be
 used to generate realistic data sets with known truth.

Package: r-cran-acopula
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-acopula_0.9.4-1.ca2004.1_all.deb
Size: 622364
MD5sum: caf027df33d5b38671e77e904352d657
SHA1: 6429a5e8343562192ae2c29a5d888578e72b89e9
SHA256: 7bbc5ffce2b69989defe1ad274cf9959379401b59baaff1207e0ae708a973da1
SHA512: 690b724d297a1af60962839100977c6448a32bb648b6b9ee76c9c22b16416be786b1821415b2287af5c86133925e03b4cf03f0b3f7fe6bf8e638a413a947432b
Homepage: https://cran.r-project.org/package=acopula
Description: CRAN Package 'acopula' (Modelling Dependence with Multivariate Archimax (or anyUser-Defined Continuous) Copulas)
 Archimax copulas are mixture of Archimedean and EV copulas. The package
 provides definitions of several parametric families of generator and
 dependence function, computes CDF and PDF, estimates parameters, tests for
 goodness of fit, generates random sample and checks copula properties for
 custom constructs. In 2-dimensional case explicit formulas for density are
 used, contrary to higher dimensions when all derivatives are linearly
 approximated. Several non-archimax families (normal, FGM, Plackett) are
 provided as well.

Package: r-cran-acorn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acorn_0.1.0-1.ca2004.1_all.deb
Size: 106292
MD5sum: 90c307c35e3975ea50f89aae1a922304
SHA1: f0fed07cbb3ff07771b399b9d907878f7ee63ffd
SHA256: 52060c1126d2f02ed9c2c81f103c3389c1360ad6da2e276c4bc5f52066b81ad3
SHA512: d61f6c2811a0ad5c99e2ac0306eb85448e5230954534473dbfa5edd8b96dcdd4b4e8b3bc2f28acffe2b078bf37910e0478583af179075ba309f0036dd5605ad5
Homepage: https://cran.r-project.org/package=acoRn
Description: CRAN Package 'acoRn' (Exclusion-Based Parentage Assignment Using Multilocus GenotypeData)
 Exclusion-based parentage assignment is essential for studies in
 biodiversity conservation and breeding programs - Kang Huang, Rui Mi, Derek
 W Dunn, Tongcheng Wang, Baoguo Li, (2018),
 <doi:10.1534/genetics.118.301592>. The tool compares multilocus genotype
 data of potential parents and offspring, identifying likely parentage
 relationships while accounting for genotyping errors, missing data, and
 duplicate genotypes. 'acoRn' includes two algorithms: one generates
 synthetic genotype data based on user-defined parameters, while the other
 analyzes existing genotype data to identify parentage patterns. The package
 is versatile, applicable to diverse organisms, and offers clear visual
 outputs, making it a valuable resource for researchers.

Package: r-cran-acousticndlcoder
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tuner, r-cran-zoo, r-cran-seewave
Filename: pool/dists/focal/main/r-cran-acousticndlcoder_1.0.2-1.ca2004.1_all.deb
Size: 599708
MD5sum: 86041eba95140253409ea4c8c5c73dc0
SHA1: 1458ee298d540bc60e76db9583fda314b42e2b56
SHA256: ddd32acf9fc7d7e655f330f9866eed1e7054f842652dc35e1a7abd2049d23a35
SHA512: f5f6b6cf64180eed7a899869ab77e22c26d1241a9d1ea82a3e2f277945ac0b53e7c291455e44fb552a283290300f47210ce012f25bf6487b21e2061d97b6cafd
Homepage: https://cran.r-project.org/package=AcousticNDLCodeR
Description: CRAN Package 'AcousticNDLCodeR' (Coding Sound Files for Use with NDL)
 Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package
 implements functions used in the PLoS ONE paper: Denis Arnold, Fabian
 Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
 Words from spontaneous conversational speech can be recognized with
 human-like accuracy by an error-driven learning algorithm that discriminates
 between meanings straight from smart acoustic features, bypassing the
 phoneme as recognition unit.  PLoS ONE 12(4):e0174623
 <doi:10.1371/journal.pone.0174623> More details can be found in the paper
 and the supplement.  'ndl' is available on CRAN. 'ndl2' is available by
 request from <konstantin.sering@uni-tuebingen.de>.

Package: r-cran-acp
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tseries, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-acp_2.1-1.ca2004.1_all.deb
Size: 58692
MD5sum: cd066ede3cbaf42cd200b176b6c59c59
SHA1: 1d379c863f94db08c473d78b41703b2d63c391ae
SHA256: bb2898c7f7b3f755cc7bca68304bb19007aaf72e3a26f45b6f9d14e604639d26
SHA512: ebf043dc61dbdb014a6b0f8c5432f44013bb7a52c548b1da3183cb8776d9ec3b814814b4185a251a2bc8f28d169072e3bb662ae5b5cdfbc8220388035662b5a6
Homepage: https://cran.r-project.org/package=acp
Description: CRAN Package 'acp' (Autoregressive Conditional Poisson)
 Analysis of count data exhibiting autoregressive properties, using the
 Autoregressive Conditional Poisson model (ACP(p,q)) proposed by Heinen
 (2003).

Package: r-cran-acrm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dummies, r-cran-randomforest, r-cran-kernelfactory, r-cran-ada
Filename: pool/dists/focal/main/r-cran-acrm_0.1.1-1.ca2004.1_all.deb
Size: 41328
MD5sum: 0de8972ee8695f7e1bac96dbbb2dbd55
SHA1: 223d132bec6b7e461dc15fb589d4ae8686b18150
SHA256: e0d150feda23587dc9a32abd5c29c676e9ca92f2e6b23d1ee6d4c37f8a011467
SHA512: 8308f15ced801b7ae54bd1c3b9ec1e5d2a0e0c6319f0434f41208822c4a818c865d9ea710caa316b5e78b3c155b7c408bed125a3b1d0c82a7505dbc393761306
Homepage: https://cran.r-project.org/package=aCRM
Description: CRAN Package 'aCRM' (Convenience functions for analytical Customer RelationshipManagement)
 Convenience functions for data preparation and modeling often used in aCRM.

Package: r-cran-acro
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-admiraldev, r-cran-png
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acro_0.1.4-1.ca2004.1_all.deb
Size: 74784
MD5sum: 264e119fe9236bceefb6e3229ce7dd74
SHA1: 13a6fdcc0ea5b6e03bd1b12010919ad11cde846a
SHA256: 086b9ce1452451847bde613db138877dfd70274b85d46af700378fccff3f1f76
SHA512: ee6095dd2bc1fed60bfcdd31e2e8410a7baf9cea847cf1889a33b4c1550ff71132b36c04996c1062a86b8a5cc7aa0387edb950edacbf99bdc21aff467502e801
Homepage: https://cran.r-project.org/package=acro
Description: CRAN Package 'acro' (A Tool for Semi-Automating the Statistical Disclosure Control ofResearch Outputs)
 Assists researchers and output checkers by distinguishing between research
 output that is safe to publish, output that requires further analysis, and
 output that cannot be published because of substantial disclosure risk. A
 paper about the tool was presented at the UNECE Expert Meeting on
 Statistical Data Confidentiality 2023; see
 <https://uwe-repository.worktribe.com/output/11060964>.

Package: r-cran-acroname
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-r.utils, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-hunspell
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acroname_0.1.0-1.ca2004.1_all.deb
Size: 28956
MD5sum: dd4deb941db2b43d70b7b2d1217b0547
SHA1: 8ff35fd1f051f6ee7cbb609b19b9e0dd4eeb6cac
SHA256: c5ec2ccfca43cfe4c46a9bc1426c9e06d249ac9920ae1bdad95828e0a300d225
SHA512: 7efe8ca86bb54d702d44a064da2993f5e48a7b107a8e09d37fb6ed6253e60cb112b1a86b61c8f71a846f5aa8365912ec61f950d38d78bcb255f6e4f2bb561215
Homepage: https://cran.r-project.org/package=acroname
Description: CRAN Package 'acroname' (Engine for Acronyms and Initialisms)
 A tool for generating acronyms and initialisms from arbitrary text input.

Package: r-cran-acrosstic
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-treeclust, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-acrosstic_1.0-3-1.ca2004.1_all.deb
Size: 38652
MD5sum: 4fe44b690d788bafb3b09f536937b9a4
SHA1: cebea1c4d0abebf156fcb229fcd9d0c07e49b3a5
SHA256: 6cebb3380b509d822d6f742141ce13eebb5462708b1041c3598ac574c69e469b
SHA512: 93111010093b4b79e2ddd66feb813c05224eaf101811c667c8f34a7a2d93dbe6ec49638ed1e4103ee7331b33e8d049b4c777cae18c5264a2af715e4619c968cf
Homepage: https://cran.r-project.org/package=AcrossTic
Description: CRAN Package 'AcrossTic' (A Cost-Minimal Regular Spanning Subgraph with TreeClust)
 Construct minimum-cost regular spanning subgraph as part of a non-parametric
 two-sample test for equality of distribution.

Package: r-cran-acs
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1529
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-xml, r-cran-plyr, r-cran-httr
Filename: pool/dists/focal/main/r-cran-acs_2.1.4-1.ca2004.1_all.deb
Size: 1367844
MD5sum: 5d53ed2224963cdeb82f4541395d76ba
SHA1: 0abb550f3b8a7a601a4dbc124807dcb5cc7fbdc3
SHA256: bf85ea688508d2458cffac53529b4bbd571e6e9900e36fcf608282c73c939df2
SHA512: a2f8ba82a6554236582269ad45131e0752cede64fb850b33988a92f49188be434dca1006cdf6eddc50ca8e49790ef37441da3a2349e0b3bd90b1769a9fa6411d
Homepage: https://cran.r-project.org/package=acs
Description: CRAN Package 'acs' (Download, Manipulate, and Present American Community Survey andDecennial Data from the US Census)
 Provides a general toolkit for downloading, managing, analyzing, and
 presenting data from the U.S. Census
 (<https://www.census.gov/data/developers/data-sets.html>), including SF1
 (Decennial short-form), SF3 (Decennial long-form), and the American
 Community Survey (ACS).  Confidence intervals provided with ACS data are
 converted to standard errors to be bundled with estimates in complex acs
 objects.  Package provides new methods to conduct standard operations on acs
 objects and present/plot data in statistically appropriate ways.

Package: r-cran-acss.data
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 13926
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-acss.data_1.2-1.ca2004.1_all.deb
Size: 14226028
MD5sum: 91f2f9feebb8c228c9794a15e40a023f
SHA1: 0adcdf9bed2f77e7f1f0ebd08d3b66a4945e8dcd
SHA256: 4a7f49c90102e8d51ffbe337f090c4c3e532d4c22f0bcb67c6c96dfb34d1f669
SHA512: b707dc0d700ca1151b698693af376ab760daa2700ab2bc08edb4858af19dd033ef34fd0c887bdc3a21d442130701824d6096cb53d1582900494c40c892499f72
Homepage: https://cran.r-project.org/package=acss.data
Description: CRAN Package 'acss.data' (Data Only: Algorithmic Complexity of Short Strings (Computed viaCoding Theorem Method))
 Data only package providing the algorithmic complexity of short strings,
 computed using the coding theorem method. For a given set of symbols in a
 string, all possible or a large number of random samples of Turing machines
 (TM) with a given number of states (e.g., 5) and number of symbols
 corresponding to the number of symbols in the strings were simulated until
 they reached a halting state or failed to end. This package contains data on
 4.5 million strings from length 1 to 12 simulated on TMs with 2, 4, 5, 6,
 and 9 symbols. The complexity of the string corresponds to the distribution
 of the halting states of the TMs.

Package: r-cran-acss
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1311
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-acss.data, r-cran-zoo
Suggests: r-cran-effects, r-cran-lattice, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-acss_0.3-2-1.ca2004.1_all.deb
Size: 1209928
MD5sum: 9fab49e6451d0cb16c2803a421f5a17e
SHA1: e477c75f59a44463e915058eb8388b449238f8b6
SHA256: 8566ae553927169bb148fa759006c1b9fb38008d3943850bc3e07196b70e1e07
SHA512: 053e136cc1a8477dac64d98f7bd3072a1aabde41f7f94ef0176b5c019b9f01bd768a3c19818bf064a606f120605e9408f9c8fb6a49dedcd3a9c79582d39d902e
Homepage: https://cran.r-project.org/package=acss
Description: CRAN Package 'acss' (Algorithmic Complexity for Short Strings)
 Main functionality is to provide the algorithmic complexity for short
 strings, an approximation of the Kolmogorov Complexity of a short string
 using the coding theorem method (see ?acss). The database containing the
 complexity is provided in the data only package acss.data, this package
 provides functions accessing the data such as prob_random returning the
 posterior probability that a given string was produced by a random process.
 In addition, two traditional (but problematic) measures of complexity are
 also provided: entropy and change complexity.

Package: r-cran-acswr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-acswr_1.0-1.ca2004.1_all.deb
Size: 233960
MD5sum: a2f5f3033cf02901b956cf6768bd2f80
SHA1: 0186976abcff9c93970a8a1b09986336fc91f475
SHA256: 9782fa126284a234e1b148f8cfce6194fd909c0deb272870493f9b1bbdf0a5d8
SHA512: bd9d66566095e21655c69ded51104809184e5bafee99ded2db12f341698c43294a4735af2c231393f78182e399db2a187f03d0bed374af75c03cee37f7cb7af5
Homepage: https://cran.r-project.org/package=ACSWR
Description: CRAN Package 'ACSWR' (A Companion Package for the Book "A Course in Statistics with R")
 A book designed to meet the requirements of masters students. Tattar, P.N.,
 Suresh, R., and Manjunath, B.G. "A Course in Statistics with R", J. Wiley,
 ISBN 978-1-119-15272-9.

Package: r-cran-act
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4399
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-stringi, r-cran-textutils, r-cran-progress, r-cran-xml, r-cran-xml2, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-act_1.3.1-1.ca2004.1_all.deb
Size: 2060124
MD5sum: 51b6e2dff067ddb7b71adb723b78aeb0
SHA1: 8493ad89dd02a21975e375901db252bb2ed61b77
SHA256: 183e06c88c037290bdc3b847c1208d0dfaa445b362c920f006342df28a9a4f46
SHA512: 34d4a78d8771108cc14af94213c5b79e3c07580ed633e795e6674d63b9ea4e1da0e13d74aa5505cc2048fab96bfdb7122020e788e192c136477d94182a5acc8c
Homepage: https://cran.r-project.org/package=act
Description: CRAN Package 'act' (Aligned Corpus Toolkit)
 The Aligned Corpus Toolkit (act) is designed for linguists that work with
 time aligned transcription data. It offers functions to import and export
 various annotation file formats ('ELAN' .eaf, 'EXMARaLDA .exb and 'Praat'
 .TextGrid files), create print transcripts in the style of conversation
 analysis, search transcripts (span searches across multiple annotations,
 search in normalized annotations, make concordances etc.), export and
 re-import search results (.csv and 'Excel' .xlsx format), create cuts for
 the search results (print transcripts, audio/video cuts using 'FFmpeg' and
 video sub titles in 'Subrib title' .srt format), modify the data in a corpus
 (search/replace, delete, filter etc.), interact with 'Praat' using
 'Praat'-scripts, and exchange data with the 'rPraat' package. The package is
 itself written in R and may be expanded by other users.

Package: r-cran-actcr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-zoo, r-cran-cosinor, r-cran-cosinor2, r-cran-dplyr, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-actcr_0.3.0-1.ca2004.1_all.deb
Size: 438512
MD5sum: 02390d92369a70bd0b2d319eb9ff6eae
SHA1: b0ac8959dd71a5096fcb5acc6fb6d580444aa4e1
SHA256: 688fc3571ce238746c7a160bf88229c31b8f50748956e8f4f8c7ff0a9b676807
SHA512: b8af476588fddc33168d77652dd0d163452e1179699203dc2928b771b4a0fe9deb81d12fbd93edfee24922fbb2fca636d11d22a73ac93ebae691faf28ef75ed4
Homepage: https://cran.r-project.org/package=ActCR
Description: CRAN Package 'ActCR' (Extract Circadian Rhythms Metrics from Actigraphy Data)
 Circadian rhythms are rhythms that oscillate about every 24 h, which has
 been observed in multiple physiological processes including core body
 temperature, hormone secretion, heart rate, blood pressure, and many others.
 Measuring circadian rhythm with wearables is based on a principle that there
 is increased movement during wake periods and reduced movement during sleep
 periods, and has been shown to be reliable and valid. This package can be
 used to extract nonparametric circadian metrics like intradaily variability
 (IV), interdaily stability (IS), and relative amplitude (RA); and parametric
 cosinor model and extended cosinor model coefficient. Details can be found
 in Junrui Di et al (2019) <doi:10.1007/s12561-019-09236-4>.

Package: r-cran-actel
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1523
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-circular, r-cran-data.table, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-fasttime, r-cran-ggplot2, r-cran-knitr, r-cran-readr, r-cran-reshape2, r-cran-rmarkdown, r-cran-rsvg, r-cran-scales, r-cran-stringi, r-cran-stringr, r-cran-svglite
Suggests: r-cran-gdistance, r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-actel_1.3.0-1.ca2004.1_all.deb
Size: 1415160
MD5sum: 59ff8a26e88828bb2c0ba82b666a2004
SHA1: 33a635bb97b3980812e0ec1780529c9e5039118b
SHA256: 2e4a10b55e44520fae9c247659f149f3724dc99f2d3f02292ecf3420cae502a3
SHA512: 75782e6b55cc845d9a284163c80a4a4c71fee9196e35929451727f18c39fd92700898fe9b2a854c56472b9c980dfebfa95e410f55d085b7fef8600631d2cab1b
Homepage: https://cran.r-project.org/package=actel
Description: CRAN Package 'actel' (Acoustic Telemetry Data Analysis)
 Designed for studies where animals tagged with acoustic tags are expected to
 move through receiver arrays. This package combines the advantages of
 automatic sorting and checking of animal movements with the possibility for
 user intervention on tags that deviate from expected behaviour. The three
 analysis functions (explore(), migration() and residency()) allow the users
 to analyse their data in a systematic way, making it easy to compare results
 from different studies.  CJS calculations are based on Perry et al. (2012)
 <https://www.researchgate.net/publication/256443823_Using_mark-recapture_models_to_estimate_survival_from_telemetry_data>.

Package: r-cran-actfrag
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-accelerometry, r-cran-dplyr, r-cran-ineq, r-cran-survival, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-actfrag_0.1.1-1.ca2004.1_all.deb
Size: 417508
MD5sum: 15b1f0b10b10de60b54c2fe4826c15bb
SHA1: 7bde8c6471260a5e3d439c696a30d615820212d6
SHA256: 6e0f126d4865d3efbb1e975959907d332efc23e7ad5c28fc7e03de5f9497efb8
SHA512: 1833fff9e49fa023aced76944ffcf897b922b9d0e17f5664fd051be2808b261ef5174b3961ad2cd9b188f5c62308b32be38f2a437e698c34df2ce5b3f39a5f31
Homepage: https://cran.r-project.org/package=ActFrag
Description: CRAN Package 'ActFrag' (Activity Fragmentation Metrics Extracted from Minute LevelActivity Data)
 Recent studies haven shown that, on top of total daily active/sedentary
 volumes, the time accumulation strategies provide more sensitive
 information. This package provides functions to extract commonly used
 fragmentation metrics to quantify such time accumulation strategies based on
 minute level actigraphy-measured activity counts data.

Package: r-cran-actfts
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4033
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-plotly, r-cran-reactable, r-cran-tseries, r-cran-xts, r-cran-forecast, r-cran-lifecycle
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-actfts_0.3.0-1.ca2004.1_all.deb
Size: 1010868
MD5sum: 2bb54f82802c0b9e0bd410c0d94cc597
SHA1: 1153885f6d54695fa1b650efc3e941bd425d8424
SHA256: 0ebfdbca34bf8c31214cc7f2209c1eb9933e8f45850d95daa15ff9191681c7bb
SHA512: 60511028856fd68967616a5f209755ae88d49f00983627975f31c7c3f191a7ad5c8f53d24ed199fa22879815377bbc21c3e8447c4b9741b5b743e74130a5f369
Homepage: https://cran.r-project.org/package=actfts
Description: CRAN Package 'actfts' (Autocorrelation Tools Featured for Time Series)
 The 'actfts' package provides tools for performing autocorrelation analysis
 of time series data. It includes functions to compute and visualize the
 autocorrelation function (ACF) and the partial autocorrelation function
 (PACF). Additionally, it performs the Dickey-Fuller, KPSS, and
 Phillips-Perron unit root tests to assess the stationarity of time series.
 Theoretical foundations are based on Box and Cox (1964)
 <doi:10.1111/j.2517-6161.1964.tb00553.x>, Box and Jenkins (1976)
 <isbn:978-0-8162-1234-2>, and Box and Pierce (1970)
 <doi:10.1080/01621459.1970.10481180>. Statistical methods are also drawn
 from Kolmogorov (1933) <doi:10.1007/BF00993594>, Kwiatkowski et al. (1992)
 <doi:10.1016/0304-4076(92)90104-Y>, and Ljung and Box (1978)
 <doi:10.1093/biomet/65.2.297>. The package integrates functions from
 'forecast' (Hyndman & Khandakar, 2008)
 <https://CRAN.R-project.org/package=forecast>, 'tseries' (Trapletti &
 Hornik, 2020) <https://CRAN.R-project.org/package=tseries>, 'xts' (Ryan &
 Ulrich, 2020) <https://CRAN.R-project.org/package=xts>, and 'stats' (R Core
 Team, 2023)
 <https://stat.ethz.ch/R-manual/R-devel/library/stats/html/00Index.html>.
 Additionally, it provides visualization tools via 'plotly' (Sievert, 2020)
 <https://CRAN.R-project.org/package=plotly> and 'reactable' (Glaz, 2023)
 <https://CRAN.R-project.org/package=reactable>. The package also
 incorporates macroeconomic datasets from the U.S. Bureau of Economic
 Analysis: Disposable Personal Income (DPI)
 <https://fred.stlouisfed.org/series/DPI>, Gross Domestic Product (GDP)
 <https://fred.stlouisfed.org/series/GDP>, and Personal Consumption
 Expenditures (PCEC) <https://fred.stlouisfed.org/series/PCEC>.

Package: r-cran-actilifecounts
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4859
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gsignal, r-cran-pracma, r-cran-ggirread
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-actilifecounts_1.1.1-1.ca2004.1_all.deb
Size: 522040
MD5sum: 1eafbae7d4889fcb865bc5e884e29b91
SHA1: fc1172b9c4e6f64e947e1eab7d5d950f24f8281c
SHA256: ba1f5eec6c73ff1582e0195b5ef8caded191daf6bd827d0449fcb8414fd1ccd5
SHA512: cd89be9538d4a23e26c60acfe852b192315a9bdd8b0a2794402820448aa4beedc615cb9993f465e7d461f731cced70f963d85a86b2b386737938d0a4e78a474c
Homepage: https://cran.r-project.org/package=actilifecounts
Description: CRAN Package 'actilifecounts' (Generate Activity Counts from Raw Accelerometer Data)
 A tool to obtain activity counts, originally a translation of the 'python'
 package 'agcounts' <https://github.com/actigraph/agcounts>. This tool allows
 the processing of data from any accelerometer brand, with a more flexible
 approach to handle different sampling frequencies.

Package: r-cran-activanalyzer
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4757
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dbplyr, r-cran-dplyr, r-cran-flextable, r-cran-forcats, r-cran-ggplot2, r-cran-golem, r-cran-hms, r-cran-lubridate, r-cran-magrittr, r-cran-modelr, r-cran-patchwork, r-cran-physicalactivity, r-cran-plyr, r-cran-reactable, r-cran-rmarkdown, r-cran-rsqlite, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-stringr, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-covr, r-cran-knitr, r-cran-spelling, r-cran-testthat, r-cran-processx, r-cran-globals, r-cran-config, r-cran-tidyselect, r-cran-dbi, r-cran-htmltools, r-cran-officer, r-cran-pkgload, r-cran-scales, r-cran-tibble, r-cran-rlang, r-cran-tinytex, r-cran-shinytest2, r-cran-pkgdown, r-cran-callr
Filename: pool/dists/focal/main/r-cran-activanalyzer_2.1.2-1.ca2004.1_all.deb
Size: 1966880
MD5sum: e97fd8bc541f72993e6c95b1dbf39654
SHA1: d2a550396bbe6cf52e23d2ac399f8fa40ad9753a
SHA256: 2fea7f970997c287a1f6203acfcfbbfd92998db419dc29af8ee41231033f6b3a
SHA512: 2fa8f877935881fa90d28b7f07578e23aa48ab857db82afd92543c765b7b0120e8eec79076b025636191a22a1dd6015e3c0ceed35659385872461f19991fb015
Homepage: https://cran.r-project.org/package=activAnalyzer
Description: CRAN Package 'activAnalyzer' (A 'Shiny' App to Analyze Accelerometer-Measured Daily PhysicalBehavior Data)
 A tool to analyse 'ActiGraph' accelerometer data and to implement the use of
 the PROactive Physical Activity in COPD (chronic obstructive pulmonary
 disease) instruments. Once analysis is completed, the app allows to export
 results to .csv files and to generate a report of the measurement. All the
 configured inputs relevant for interpreting the results are recorded in the
 report. In addition to the existing 'R' packages that are fully integrated
 with the app, the app uses some functions from the 'actigraph.sleepr'
 package developed by Petkova (2021)
 <https://github.com/dipetkov/actigraph.sleepr/>.

Package: r-cran-activatr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2966
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggmap, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-rlang, r-cran-tibble, r-cran-slider, r-cran-xml2
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-activatr_0.2.1-1.ca2004.1_all.deb
Size: 2744160
MD5sum: a6807df565b2ce91c52428aef4b512aa
SHA1: 5dabd27c4a58a1737591476df3cf5b970fc1bef6
SHA256: ccb48f3be56aaccc27b3ebe431db1bb1dc2507c1bc2baee98074785acce7473e
SHA512: acd10b72d4c96558249618b0bef6909e4948e0e7132cca7b169c2670599f97be71019446082cde497bc1cf60baed951f51acc0583d80dc8af9400c09d9ff002b
Homepage: https://cran.r-project.org/package=activatr
Description: CRAN Package 'activatr' (Utilities for Parsing and Plotting Activities)
 This contains helpful functions for parsing, managing, plotting, and
 visualizing activities, most often from GPX (GPS Exchange Format) files
 recorded by GPS devices. It allows easy parsing of the source files into
 standard R data formats, along with functions to compute derived data for
 the activity, and to plot the activity in a variety of ways.

Package: r-cran-activedriver
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-activedriver_1.0.0-1.ca2004.1_all.deb
Size: 180920
MD5sum: a6c26502808c1287446d54f9de13dfdf
SHA1: 2f5bf4d365e10723ca7c610e9e12aa4bfdc1ae6e
SHA256: 3f3b3e6328ac15ab78aec4dc553c4ec07833e73158e5b5fc1d2af7e0b1d9faaa
SHA512: 391137868481bb806c7197359efc6198578076f5d970e2f8ddaf3bced2c6b4e6feb2d50f83c154bb6b5c2ed5277f46572fd2797e4478c27d35ab366866d9a011
Homepage: https://cran.r-project.org/package=ActiveDriver
Description: CRAN Package 'ActiveDriver' (Finding Cancer Driver Proteins with Enriched Mutations inPost-Translational Modification Sites)
 A mutation analysis tool that discovers cancer driver genes with frequent
 mutations in protein signalling sites such as post-translational
 modifications (phosphorylation, ubiquitination, etc). The Poisson
 generalised linear regression model identifies genes where cancer mutations
 in signalling sites are more frequent than expected from the sequence of the
 entire gene. Integration of mutations with signalling information helps find
 new driver genes and propose candidate mechanisms to known drivers.
 Reference: Systematic analysis of somatic mutations in phosphorylation
 signaling predicts novel cancer drivers. Juri Reimand and Gary D Bader.
 Molecular Systems Biology (2013) 9:637 <doi:10.1038/msb.2012.68>.

Package: r-cran-activedriverwgs
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1420
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-bsgenome, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-bsgenome.hsapiens.ucsc.hg38, r-bioc-bsgenome.mmusculus.ucsc.mm9, r-bioc-bsgenome.mmusculus.ucsc.mm10, r-bioc-biostrings, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-activedriverwgs_1.2.0-1.ca2004.1_all.deb
Size: 890152
MD5sum: 8bec27106129661093b743f4f3599576
SHA1: c84946f7daa9da8bd189a512df0af6740eba9930
SHA256: fc52cab2ef21f4179d027e8c7cca3b7b4677a79d363076c0813973c694e70dcb
SHA512: e362c59c96c1e451c49be8638760beb671cbecf6bde1d89698b1f5ee196b03c4e599326680f797c88422c7400208b38e322bb4153bdd44b7a189947db6c149b3
Homepage: https://cran.r-project.org/package=ActiveDriverWGS
Description: CRAN Package 'ActiveDriverWGS' (A Driver Discovery Tool for Cancer Whole Genomes)
 A method for finding an enrichment of cancer simple somatic mutations (SNVs
 and Indels) in functional elements across the human genome.
 'ActiveDriverWGS' detects coding and noncoding driver elements using whole
 genome sequencing data. The method is part of the following publication:
 Candidate Cancer Driver Mutations in Distal Regulatory Elements and
 Long-Range Chromatin Interaction Networks. Molecular Cell (2020)
 <doi:10.1016/j.molcel.2019.12.027>.

Package: r-cran-activepathways
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3024
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-activepathways_2.0.5-1.ca2004.1_all.deb
Size: 1709588
MD5sum: 41228a6953f3ff23843108538826241e
SHA1: 679879e4764d38d9deea294a51af54bbb3515dbf
SHA256: 5c655e91fe687c42eca48b74435d7eb8a6c93c7c875b1b22d42f3728ecde12b1
SHA512: be45b1a196108383ce77d7de5b40f33ba6b7ef2305d9cc981f07bab9ea9dd95b519ac3df9c2535e774ba1f132d2027bff0b04ab4195b7c3355b021cf7a1115f9
Homepage: https://cran.r-project.org/package=ActivePathways
Description: CRAN Package 'ActivePathways' (Integrative Pathway Enrichment Analysis of Multivariate OmicsData)
 Framework for analysing multiple omics datasets in the context of molecular
 pathways, biological processes and other types of gene sets. The package
 uses p-value merging to combine gene- or protein-level signals, followed by
 ranked hypergeometric tests to determine enriched pathways and processes.
 Genes can be integrated using directional constraints that reflect how the
 input datasets are expected interact with one another. This approach allows
 researchers to interpret a series of omics datasets in the context of known
 biology and gene function, and discover associations that are only apparent
 when several datasets are combined. The recent version of the package is
 part of the following publication: Directional integration and pathway
 enrichment analysis for multi-omics data. Slobodyanyuk M^, Bahcheli AT^,
 Klein ZP, Bayati M, Strug LJ, Reimand J. Nature Communications (2024)
 <doi:10.1038/s41467-024-49986-4>.

Package: r-cran-activity
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-activity_1.3.4-1.ca2004.1_all.deb
Size: 276712
MD5sum: 8af8a3bd5e5a51e8de3bf3132f6224b5
SHA1: ed78aac8e5595d677371d8032ec99e31b9f2a167
SHA256: 4760e9e0b7e866e461691aacb437bbadb68e0454acb3e5a7869eda56920f003d
SHA512: 33289d86ace49e47a5e64d3293d68b5ff04cae8a7941bd055f2d41529e562ead5d41c916e1e0b114712f1df47ea856a50ff5bbea31d03f911bd105790be3f24a
Homepage: https://cran.r-project.org/package=activity
Description: CRAN Package 'activity' (Animal Activity Statistics)
 Provides functions to express clock time data relative to anchor points
 (typically solar); fit kernel density functions to animal activity time
 data; plot activity distributions; quantify overall levels of activity;
 statistically compare activity metrics through bootstrapping; evaluate
 variation in linear variables with time (or other circular variables).

Package: r-cran-activitycounts
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1603
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seewave, r-cran-signal, r-cran-tibble, r-cran-lubridate, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-activitycounts_0.2.1-1.ca2004.1_all.deb
Size: 940588
MD5sum: 3c9aad246e2924becae66464ce5c4715
SHA1: ff2b67e895d4c813506f206e80e69a0715bd9eaa
SHA256: c114b996ce3193323f22c025dd41fe7e38b01f68913102d8562e6f219eb42b9a
SHA512: ad714f5a08420bffa07461bd9a59d7426353046934e04a89fa15478126f2509f0c7c603ba426329066e68432460834f06ed4f9df4c665556375282b84c163459
Homepage: https://cran.r-project.org/package=activityCounts
Description: CRAN Package 'activityCounts' (Generate ActiLife Counts)
 ActiLife software generates activity counts from data collected by Actigraph
 accelerometers
 <https://s3.amazonaws.com/actigraphcorp.com/wp-content/uploads/2017/11/26205758/ActiGraph-White-Paper_What-is-a-Count_.pdf>.
 Actigraph is one of the most common research-grade accelerometers. There is
 considerable research validating and developing algorithms for human
 activity using ActiLife counts. Unfortunately, ActiLife counts are
 proprietary and difficult to implement if researchers use different
 accelerometer brands.  The code creates ActiLife counts from raw
 acceleration data for different accelerometer brands and it is developed
 based on the study done by Brond and others (2017)
 <doi:10.1249/MSS.0000000000001344>.

Package: r-cran-activitygcmm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-runjags, r-cran-circular, r-cran-overlap
Filename: pool/dists/focal/main/r-cran-activitygcmm_1.1.1-1.ca2004.1_all.deb
Size: 208264
MD5sum: 5950fed7296affef15ac5c3ad4dc08be
SHA1: f71b70f99a815a4104182277b8ab878f9738515a
SHA256: 95e77ebf92de3d94e4e2072520df5dbb35f5b8365e7f01a848c5d2d36b438c8f
SHA512: 17cf2288cec83e5c11ad8d95bededba9027e0f45b05be7feaf7c81d1597300ceab13fc0c0d44d32050c9bc9af7cd04c0cb254030d55fef3bf2cd175c47625e37
Homepage: https://cran.r-project.org/package=activityGCMM
Description: CRAN Package 'activityGCMM' (Circular Mixed Effect Mixture Models of Animal Activity Patterns)
 Bayesian parametric generalized circular mixed effect mixture models (GCMMs)
 for estimating animal activity patterns from camera trap data and other
 nested data structures using 'JAGS', including automatic Bayesian k-cluster
 selection and random circular intercepts for nested data. The GCMM function
 automatically selects the number of components for the mixture model
 (supporting up to 4 mixture components) based on a Bayesian linear finite
 normal mixture model and fits a Bayesian parametric circular mixed effect
 mixture model with one or two random effects as random circular intercepts
 with a a von Mises or wrapped Cauchy distribution. Provides graphs of the
 combined mixture model or separate mixture components. Functionality is
 provided to allow quantitative comparisons between model parameters. See
 Campbell et al. (in press) It's time to expand our analyses of animal
 activity; Campbell et al. (in press) Temporal and microspatial niche
 partitioning; Campbell et al. (in press) A novel approach to comparing
 animal activity patterns. News, updates, and tutorials will be available on
 www.atlasgoldenwolf.org/stats and www.github.com/LizADCampbell .

Package: r-cran-activityindex
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4483
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-data.table, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-activityindex_0.3.7-1.ca2004.1_all.deb
Size: 4110244
MD5sum: d1331eb215c6ef46711911330824dfde
SHA1: 8839cbbbd4b1825aec652e418898d43b80a2a0f1
SHA256: eba6badb0bf93e9cbe9bf6cdb6b609bba1737b68e2c91b658a27cf8b53bfdc8d
SHA512: 4745a3c22f9369074a5765a22741e4e0b515927d66daeb62023122e391cbb2a63ff88965dcd4d58ffcd2c5e0b924493c7272c9264919fe9d764e44cb0b3bcbf3
Homepage: https://cran.r-project.org/package=ActivityIndex
Description: CRAN Package 'ActivityIndex' (Activity Index Calculation using Raw 'Accelerometry' Data)
 Reads raw 'accelerometry' from 'GT3X+' data and plain table data to
 calculate Activity Index from 'Bai et al.' (2016)
 <doi:10.1371/journal.pone.0160644>.  The Activity Index refers to the square
 root of the second-level average variance of the three 'accelerometry' axes.

Package: r-cran-activpal
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-lubridate, r-cran-magrittr, r-cran-devtools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-activpal_0.1.3-1.ca2004.1_all.deb
Size: 310936
MD5sum: 67931e5c5c13737b3921b08c5358bdff
SHA1: 8d1370c2714393db02fb0d4cb02cb98d23634984
SHA256: e106688be18f555bc74e5bc96d293582d668d8170f2aa815d224f9327bea25d3
SHA512: 8430c6ad512d1e03a6e6e7e302d82b4cb606d9ca767093961a791a9ad7117615cb56552ca110c3c70382902dd2c84aaa35ea386b45ff7953c8c9303a670b2368
Homepage: https://cran.r-project.org/package=activPAL
Description: CRAN Package 'activPAL' (Advanced Processing and Chart Generation from activPAL EventsFiles)
 Contains functions to generate pre-defined summary statistics from activPAL
 events files <http:www.palt.com>.  The package also contains functions to
 produce informative graphics that visualise physical activity behaviour and
 trends.  This includes generating graphs that align physical activity
 behaviour with additional time based observations described by other data
 sets, such as sleep diaries and continuous glucose monitoring data.

Package: r-cran-actlifer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 632
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-actlifer_1.0.0-1.ca2004.1_all.deb
Size: 455276
MD5sum: 88024b17ce5ad83e0c5fd8721ca13c9f
SHA1: f4e5d485653f8411e2d3c99cc537428172899f84
SHA256: 20a7c56ba309de982e1dccad9265701bba892a7a884b923882da5dced6a48f89
SHA512: f37e0ba0797f79070441d41cb72f4a418f07b3690e1f9dd779738df85590e4fe7672b3801c1c7ef64b99522cdc82340b7e070e94b7f371c9c650427dc3748def
Homepage: https://cran.r-project.org/package=actLifer
Description: CRAN Package 'actLifer' (Creating Actuarial Life Tables)
 Contains data and functions that can be used to make actuarial life tables.
 Each function adds a column to the inputted dataset for each intermediate
 calculation between mortality rate and life expectancy. Users can run any of
 our functions to complete the life table until that step, or run lifetable()
 to output a full life table that can be customized to remove optional
 columns.  Methods for creating lifetables are as described in Zedstatistics
 (2021) <https://www.youtube.com/watch?v=Dfe59glNXAQ>.

Package: r-cran-actogrammr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-readr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-actogrammr_0.2.3-1.ca2004.1_all.deb
Size: 163280
MD5sum: bc47943ab1936371f8fe1c477aa51129
SHA1: c7eb0a1bf99f4a8f2b95e3faf951165fd873b490
SHA256: 259440180496be074dc53b55bf3d766a4b19d751c0a507ff1e25fe6aad253e7c
SHA512: ee2e867428670314f24acd201cc9cd9ac487ee262b79192127e763e4d548bbd8b0484cc6930c8f48db8f60ab58731cc1d737c9ddb6d02675d5e8423006625199
Homepage: https://cran.r-project.org/package=actogrammr
Description: CRAN Package 'actogrammr' (Read in Activity Data and Plot Actograms)
 Read in activity measurements from standard file formats used by circadian
 rhythm researchers, currently only 'ClockLab' format, and process and plot
 the data.  The central type of plot is the actogram, as first described by
 in "Activity and distribution of certain wild mice in relation to biotic
 communities" by MS Johnson (1926) <doi:10.2307/1373575>.

Package: r-cran-actuare
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1750
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cplm, r-cran-statmod, r-cran-nlme, r-cran-lme4, r-cran-magrittr, r-cran-data.table, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-plyr, r-cran-insurancedata, r-cran-actuar, r-cran-lattice, r-cran-minqa
Filename: pool/dists/focal/main/r-cran-actuare_0.1.5-1.ca2004.1_all.deb
Size: 1065108
MD5sum: 0b925375ed54a41f6574438db9039006
SHA1: 2de174afb72646f7ec63ff5062b1b6133c4fd70e
SHA256: f67b83734903366fb328c0ff1d997fcd7e40e8e23c71acb5c9d8526e08308053
SHA512: 02be467ae481fe257699c31b3e4551186fca8fc83f5dbc95a9b07f3ec6e9a939b7cd18d7276fcaea17d59c6021b94882a5b3793547be818d5647a49c48ab587d
Homepage: https://cran.r-project.org/package=actuaRE
Description: CRAN Package 'actuaRE' (Handling Hierarchically Structured Risk Factors using RandomEffects Models)
 Using this package, you can fit a random effects model using either the
 hierarchical credibility model, a combination of the hierarchical
 credibility model with a generalized linear model or a Tweedie generalized
 linear mixed model. See Campo, B.D.C. and Antonio, K. (2023)
 <doi:10.1080/03461238.2022.2161413>.

Package: r-cran-actuarialm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-actuarialm_0.1.0-1.ca2004.1_all.deb
Size: 49396
MD5sum: 88f224a723c32588e3344839d7b1388c
SHA1: b3019dbb01da18930c9957364ff0a282c548be14
SHA256: 918edef1734c6d26eaca11f3afd7823328c4c752b4f2e40cfc4dfd624421f683
SHA512: ca73d105cfbc8ff1c35bda8b78b0ac46350227931490176f07d4b7442d9a37499000e7778a3ae98e29140858b90ba2426c10894858a27e79d45cde5e1fd0be90
Homepage: https://cran.r-project.org/package=ActuarialM
Description: CRAN Package 'ActuarialM' (Computation of Actuarial Measures Using Bell G Family)
 It computes two frequently applied actuarial measures, the expected
 shortfall and the value at risk. Seven well-known classical distributions in
 connection to the Bell generalized family are used as follows:
 Bell-exponential distribution, Bell-extended exponential distribution,
 Bell-Weibull distribution, Bell-extended Weibull distribution, Bell-Lomax
 distribution, Bell-Burr-12 distribution, and Bell-Burr-X distribution.
 Related works include: a) Fayomi, A., Tahir, M. H., Algarni, A., Imran, M.,
 & Jamal, F. (2022). "A new useful exponential model with applications to
 quality control and actuarial data". Computational Intelligence and
 Neuroscience, 2022. <doi:10.1155/2022/2489998>.  b) Alsadat, N., Imran, M.,
 Tahir, M. H., Jamal, F., Ahmad, H., & Elgarhy, M. (2023). "Compounded Bell-G
 class of statistical models with applications to COVID-19 and actuarial
 data". Open Physics, 21(1), 20220242. <doi:10.1515/phys-2022-0242>.

Package: r-cran-actuaryr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 722
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-magrittr, r-cran-crayon, r-cran-purrr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-actuaryr_1.1.1-1.ca2004.1_all.deb
Size: 459120
MD5sum: 34e4b738c204606be45abf7bb6e0c8e4
SHA1: 7e8cd0f5449c027955beb0e708f108381e0bd665
SHA256: 21daf9324f664d26723d5226ab15c11a32413199c7bdc1e30b889d889aa191bf
SHA512: a22c8f16c553a09c149c733df61a9ebbd5e267054e33f9e0007a55102df81eb05285d909566963f3c10fe8be1f9e35188d6e26a23f700275bcf15c2ce10593ae
Homepage: https://cran.r-project.org/package=actuaryr
Description: CRAN Package 'actuaryr' (Develop Actuarial Models)
 Actuarial reports are prepared for the last day of a specific period, such
 as a month, a quarter or a year. Actuarial models assume that certain events
 happen at the beginning or end of periods. The package contains functions to
 easily refer to the first or last (working) day within a specific period
 relative to a base date to facilitate actuarial reporting and to compare
 results.

Package: r-cran-actxps
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble, r-cran-rlang, r-cran-glue, r-cran-purrr, r-cran-scales, r-cran-gt, r-cran-paletteer, r-cran-recipes, r-cran-generics, r-cran-readr, r-cran-tidyr, r-cran-vctrs, r-cran-clock, r-cran-cli
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat, r-cran-shiny, r-cran-bslib, r-cran-thematic
Filename: pool/dists/focal/main/r-cran-actxps_1.6.0-1.ca2004.1_all.deb
Size: 2599508
MD5sum: d683ecb9e806d8f218057b8a3a8051b2
SHA1: 9266a241694e179ba6352261e5007cc507251c49
SHA256: c069d1c2a8a36bbe90a7d71a7eae6d3d8f97560731e9d3c29b209f64e96d2db8
SHA512: 372ec837af69a0fc10ffc3b08a8e37824be31dd16363f99536f1ca9506db2de0a6e192f0e472a2ef6ec765bd39de9ae533a9db1119299ca9df6f0bb0ae24b91d
Homepage: https://cran.r-project.org/package=actxps
Description: CRAN Package 'actxps' (Create Actuarial Experience Studies: Prepare Data, SummarizeResults, and Create Reports)
 Experience studies are used by actuaries to explore historical experience
 across blocks of business and to inform assumption setting activities. This
 package provides functions for preparing data, creating studies, visualizing
 results, and beginning assumption development.  Experience study methods,
 including exposure calculations, are described in: Atkinson & McGarry (2016)
 "Experience Study Calculations"
 <https://www.soa.org/49378a/globalassets/assets/files/research/experience-study-calculations.pdf>.
 The limited fluctuation credibility method used by the 'exp_stats()'
 function is described in: Herzog (1999, ISBN:1-56698-374-6) "Introduction to
 Credibility Theory".

Package: r-cran-acuityview
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-fftwtools, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-acuityview_0.1-1.ca2004.1_all.deb
Size: 155556
MD5sum: 27818213f053441282ef7e2f9f22db33
SHA1: acd6d4bbbb0b3528e665dbc5440382c2c5b6f54f
SHA256: 3bb00e14840979b5bf669c2a05101a6236ff9f254de7234115327e0c42163780
SHA512: 15132684c53db2c6acdfad0a075d913a80328b94f6464bedee01a144494fb3f54e82517025a1f8dd32c31b521efd67d16dc773304adaff548378813a353e0873
Homepage: https://cran.r-project.org/package=AcuityView
Description: CRAN Package 'AcuityView' (A Package for Displaying Visual Scenes as They May Appear to anAnimal with Lower Acuity)
 This code provides a simple method for representing a visual scene as it may
 be seen by an animal with less acute vision. When using (or for more
 information), please cite the original publication.

Package: r-cran-acumos
Architecture: all
Version: 0.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rprotobuf, r-cran-rserve, r-cran-restrserve, r-cran-yaml
Suggests: r-cran-randomforest, r-cran-testthat, r-cran-callr
Filename: pool/dists/focal/main/r-cran-acumos_0.4-4-1.ca2004.1_all.deb
Size: 69816
MD5sum: e21fd902f38dbe314d0b5c37c45a75a7
SHA1: ce04a2caa22572293102d8ffd5b404ac3a4a73d5
SHA256: bbccb277de5234d9aba77c51883c0547415055b30cdf8df30b67113bdddd1346
SHA512: f32deba9a25966f278a086c4fed8384e158be602eacd262be64129680aa678c7d940900ba960c722ac44526293f75cae538830ccedcf1dda3566a0fba401af52
Homepage: https://cran.r-project.org/package=acumos
Description: CRAN Package 'acumos' ('Acumos' R Interface)
 Create, upload and run 'Acumos' R models.  'Acumos'
 (<https://www.acumos.org>) is a platform and open source framework intended
 to make it easy to build, share, and deploy AI apps. 'Acumos' is part of the
 'LF AI Foundation', an umbrella organization within 'The Linux Foundation'.
 With this package, user can create a component, and push it to an 'Acumos'
 platform.

Package: r-cran-acv
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acv_1.0.2-1.ca2004.1_all.deb
Size: 49232
MD5sum: f07c517feacd9e7ea4ef14e3c15095cf
SHA1: 6a89a42cbb96b09e4acb1284be1a66fc7d3267a0
SHA256: 672f88b9a4121d7eedf30996ecff8721e75b7e6955d5572c3cc82c4431f838f0
SHA512: 182a62be46f71bce110d1a6aca3836fc47bc9148f95493ffb733ec15ee5b834b937ceafdd1c536a5233a8a95795543a246799e13ec8be259b49300651fa583c8
Homepage: https://cran.r-project.org/package=ACV
Description: CRAN Package 'ACV' (Optimal Out-of-Sample Forecast Evaluation and Testing underStationarity)
 Package 'ACV' (short for Affine Cross-Validation) offers an improved
 time-series cross-validation loss estimator which utilizes both in-sample
 and out-of-sample forecasting performance via a carefully constructed affine
 weighting scheme. Under the assumption of stationarity, the estimator is the
 best linear unbiased estimator of the out-of-sample loss. Besides that, the
 package also offers improved versions of Diebold-Mariano and
 Ibragimov-Muller tests of equal predictive ability which deliver more power
 relative to their conventional counterparts. For more information, see the
 accompanying article Stanek (2021) <doi:10.2139/ssrn.3996166>.

Package: r-cran-acwr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2d3
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-acwr_0.1.0-1.ca2004.1_all.deb
Size: 52596
MD5sum: 48ec31dbaa624cad4e6c6f5331c60db2
SHA1: ea2154b05d225fa1d4e7ea07833115b966577bbe
SHA256: 98ab8e68eb9471ebfd3d6a166974fb4b1df99be1c60f3582658c1bd8136fff6c
SHA512: 4aa17428793390edf7c6cefe3381f4f455fa9a51971ff0330eb86a36c85a3a7774713916db30bd5df52d92f07897bfa16b87e8474a61e2eed9b5602b5911a171
Homepage: https://cran.r-project.org/package=ACWR
Description: CRAN Package 'ACWR' (Acute Chronic Workload Ratio Calculation)
 Functions for calculating the acute chronic workload ratio using three
 different methods: exponentially weighted moving average (EWMA), rolling
 average coupled (RAC) and rolling averaged uncoupled (RAU). Examples of this
 methods can be found in Williams et al. (2017)
 <doi:10.1136/bjsports-2016-096589> for EWMA and Windt & Gabbet (2018) for
 RAC and RAU <doi: 10.1136/bjsports-2017-098925>.

Package: r-cran-ada
Architecture: all
Version: 2.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-ada_2.0-5-1.ca2004.1_all.deb
Size: 733728
MD5sum: 9f2eb292ac3ffd542697aae499dc9f00
SHA1: ec6d2045639d8636b1fee612ee4f8474b8581132
SHA256: 273381cbe1859b64b2dc4776079d12683005e4ef7b0e38f166f4e988c7bfb109
SHA512: ea36a974d5bc8c9aee5775f85a5fd148cccfb045e7b538123a31ef9e023de7101181e9b5841a1a8c5fa7079585ee6622892fa4a3fd9417175ae012deb0649125
Homepage: https://cran.r-project.org/package=ada
Description: CRAN Package 'ada' (The R Package Ada for Stochastic Boosting)
 Performs discrete, real, and gentle boost under both exponential and
 logistic loss on a given data set.  The package ada provides a
 straightforward, well-documented, and broad boosting routine for
 classification, ideally suited for small to moderate-sized data sets.

Package: r-cran-adabag
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpart, r-cran-caret, r-cran-foreach, r-cran-doparallel, r-cran-tidyr, r-cran-dplyr, r-cran-consrank
Suggests: r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-adabag_5.0-1.ca2004.1_all.deb
Size: 244204
MD5sum: 275908c658802d11415e48b275075ef4
SHA1: b6ccfabee87c8f57dcc62df2961efee2014a6c8b
SHA256: 112ac2a971009bcbb17fcfae9a2d45b0159f2ab6011db951dd7277b15db3bd48
SHA512: fd77e24828c6f28a70d8741760f7719e0ca47766f382634d34b7876a9a120f8f54a1a421ef2545a0f5c780f381d5636d0bf47c5b11104e17cc96649c19ba9a6a
Homepage: https://cran.r-project.org/package=adabag
Description: CRAN Package 'adabag' (Applies Multiclass AdaBoost.M1, SAMME and Bagging)
 It implements Freund and Schapire's Adaboost.M1 algorithm and Breiman's
 Bagging algorithm using classification trees as individual classifiers. Once
 these classifiers have been trained, they can be used to predict on new
 data. Also, cross validation estimation of the error can be done. Since
 version 2.0 the function margins() is available to calculate the margins for
 these classifiers. Also a higher flexibility is achieved giving access to
 the rpart.control() argument of 'rpart'. Four important new features were
 introduced on version 3.0, AdaBoost-SAMME (Zhu et al., 2009) is implemented
 and a new function errorevol() shows the error of the ensembles as a
 function of the number of iterations. In addition, the ensembles can be
 pruned using the option 'newmfinal' in the predict.bagging() and
 predict.boosting() functions and the posterior probability of each class for
 observations can be obtained. Version 3.1 modifies the relative importance
 measure to take into account the gain of the Gini index given by a variable
 in each tree and the weights of these trees. Version 4.0 includes the
 margin-based ordered aggregation for Bagging pruning (Guo and Boukir, 2013)
 and a function to auto prune the 'rpart' tree. Moreover, three new plots are
 also available importanceplot(), plot.errorevol() and plot.margins().
 Version 4.1 allows to predict on unlabeled data. Version 4.2 includes the
 parallel computation option for some of the functions.  Version 5.0 includes
 the Boosting and Bagging algorithms for label ranking (Albano, Sciandra and
 Plaia, 2023).

Package: r-cran-adace
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reshape2, r-cran-pracma
Suggests: r-cran-testthat, r-cran-cubature, r-cran-mass
Filename: pool/dists/focal/main/r-cran-adace_1.0.2-1.ca2004.1_all.deb
Size: 118156
MD5sum: 1f95b2da96d9474cb0048e6d7c058452
SHA1: 6d986cddd98edead1240b0977e42d1b177956836
SHA256: 8feaccd6489db916358affcdcd0362325631d7ef2ae4bd0c6eb02ca6f460eedb
SHA512: f1db13b606d92c8f8e85518d1bcb8f44247053af8072e9efff4fb9e41a3bbbf53981e4d34d583b87e6ae368ea0b623c22f670159452d03089fbf0927585645c4
Homepage: https://cran.r-project.org/package=adace
Description: CRAN Package 'adace' (Estimator of the Adherer Average Causal Effect)
 Estimate the causal treatment effect for subjects that can adhere to one or
 both of the treatments. Given longitudinal data with missing observations,
 consistent causal effects are calculated. Unobserved potential outcomes are
 estimated through direct integration as described in: Qu et al., (2019)
 <doi:10.1080/19466315.2019.1700157> and Zhang et. al., (2021)
 <doi:10.1080/19466315.2021.1891965>.

Package: r-cran-adagio
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-adagio_0.9.2-1.ca2004.1_all.deb
Size: 178644
MD5sum: 3c2e5e52d106a6b7d848908b2ffa362e
SHA1: 610311dafb45319c4816376007d1ea7db1e472db
SHA256: dd8c2e1846f432a148752faaa756af60ceab130c75a80d7c8ec35f144c7a2deb
SHA512: bc6e5d6905d74cbcb0e398189d01d300bb6bc985c91c8fbc077a8adb2cf3db1abe2bf091f851732a32806be9c22a94dea644f4a089fb2a7f293aa476ba854757
Homepage: https://cran.r-project.org/package=adagio
Description: CRAN Package 'adagio' (Discrete and Global Optimization Routines)
 The R package 'adagio' will provide methods and algorithms for (discrete)
 optimization, e.g. knapsack and subset sum procedures, derivative-free
 Nelder-Mead and Hooke-Jeeves minimization, and some (evolutionary) global
 optimization functions.

Package: r-cran-adamethods
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-anthropometry, r-cran-archetypes, r-cran-fnn, r-cran-foreach, r-cran-nnls, r-cran-tolerance, r-cran-univoutl
Suggests: r-cran-doparallel, r-cran-fda
Filename: pool/dists/focal/main/r-cran-adamethods_1.2.1-1.ca2004.1_all.deb
Size: 319272
MD5sum: ea2bcbc4f01be564fd6573a2a01bb96a
SHA1: 1cf463ccef6795fc58d0fe14f19ddcd305b7b209
SHA256: 8de819dab838125ba1f0ad6327f0963054d2f8f74707c32a1aee42e657fa47e2
SHA512: 23e28e22878641e0c2293b446bec2c557f7373e36430eb709b0fd8b454ead225840e339f0c3024d98e0b39c46d817cbb2ff05966a4ccc2530151d3021aa5a507
Homepage: https://cran.r-project.org/package=adamethods
Description: CRAN Package 'adamethods' (Archetypoid Algorithms and Anomaly Detection)
 Collection of several algorithms to obtain archetypoids with small and large
 databases, and with both classical multivariate data and functional data
 (univariate and multivariate). Some of these algorithms also allow to detect
 anomalies (outliers). Please see Vinue and Epifanio (2020)
 <doi:10.1007/s11634-020-00412-9>.

Package: r-cran-adana
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimx, r-cran-roi, r-cran-roi.plugin.optimx
Filename: pool/dists/focal/main/r-cran-adana_1.1.0-1.ca2004.1_all.deb
Size: 561892
MD5sum: 2655465110e824f3957873f128ebe14c
SHA1: b931b7f820067410ee014cb4ca50279c351e0a31
SHA256: f80f31f1276c939024129c718d9326a89aeb8575026908a5a16f58b903d6b0f8
SHA512: 9f3c01e2f42ad7847c4656049feca753809d15635daf3e3a9a78b3c2393ca60536bd54c04f389d3fb26aafe9a2776fadb9f8affc3eddbd810ada7a2da7297fab
Homepage: https://cran.r-project.org/package=adana
Description: CRAN Package 'adana' (Adaptive Nature-Inspired Algorithms for Hybrid GeneticOptimization)
 The Genetic Algorithm (GA) is a type of optimization method of Evolutionary
 Algorithms. It uses the biologically inspired operators such as mutation,
 crossover, selection and replacement.Because of their global search and
 robustness abilities, GAs have been widely utilized in machine learning,
 expert systems, data science, engineering, life sciences and many other
 areas of research and business. However, the regular GAs need the techniques
 to improve their efficiency in computing time and performance in finding
 global optimum using some adaptation and hybridization strategies. The
 adaptive GAs (AGA) increase the convergence speed and success of regular GAs
 by setting the parameters crossover and mutation probabilities dynamically.
 The hybrid GAs combine the exploration strength of a stochastic GAs with the
 exact convergence ability of any type of deterministic local search
 algorithms such as simulated-annealing, in addition to other nature-inspired
 algorithms such as ant colony optimization, particle swarm optimization etc.
 The package 'adana' includes a rich working environment with its many
 functions that make possible to build and work regular GA, adaptive GA,
 hybrid GA and hybrid adaptive GA for any kind of optimization problems.
 Cebeci, Z. (2021, ISBN: 9786254397448).

Package: r-cran-adapenetclass
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imputeyn, r-cran-glmnet, r-cran-lars, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-adapenetclass_1.2-1.ca2004.1_all.deb
Size: 479532
MD5sum: 3f5a1ecf7a4d1cf3793036d0b47946e8
SHA1: 3d685405e55e5cb5fe10b0db316876b59bda2dac
SHA256: 75577a7b8aa4fe8f93b43fc364bdf305a4a296e5d3376e0d61875bfd6dca8692
SHA512: f022cfe4c37e96e9a62f50c3cb3d18df4764d9fd241eede8b2e43d3ee4596133a7b911ab9b586e9b4e03ca4b52e0fecfdda04d77001d5aaf345bac72d06e074f
Homepage: https://cran.r-project.org/package=AdapEnetClass
Description: CRAN Package 'AdapEnetClass' (A Class of Adaptive Elastic Net Methods for Censored Data)
 Provides new approaches to variable selection for AFT model.

Package: r-cran-adapsamp
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-adapsamp_1.1.1-1.ca2004.1_all.deb
Size: 53484
MD5sum: 5a164cfd9fbe7bfe2afb0ec8f02c35bb
SHA1: cc33adc4e7bfb776f08686fa49d9a41fdedac33a
SHA256: 6c1bd7ab540e3c7dae42f215561211b909e34ff92f207a465ef449255ee03b87
SHA512: b65e054be67b9c9a76be5c2a29dc0d23925f9462181a2c51020b687867dd5581e817bebb974e2d2d73993f8cc3793644751f0aceeaa7f395eac83759689f5621
Homepage: https://cran.r-project.org/package=AdapSamp
Description: CRAN Package 'AdapSamp' (Adaptive Sampling Algorithms)
 For distributions whose probability density functions are log-concave, the
 adaptive rejection sampling algorithm can be used to build envelope
 functions for sampling. For others, we can use the modified adaptive
 rejection sampling algorithm, the concave-convex adaptive rejection sampling
 algorithm and the adaptive slice sampling algorithm. So we designed an R
 package mainly including 4 functions: rARS(), rMARS(), rCCARS() and rASS().
 These functions can realize sampling based on the algorithms above.

Package: r-cran-adapt4pv
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 978
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-speedglm, r-cran-xgboost, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-adapt4pv_0.2-3-1.ca2004.1_all.deb
Size: 493192
MD5sum: 85a9dd792871de910ee3196d968dc09b
SHA1: 44d2eacd35239325f8afceb46356865ff9d50c9a
SHA256: 1c752a002e096eb6ee810802c239c2e21d0a9b0af23902519be12b724ad337e4
SHA512: a004fcc0f049506d62d7d19e6b9da85c5d4741cb28c244fbd7318ded38b8230bd0262f3a574653481fc23d7cb9fd2dd3eea213e6d211536e52ff5f6b1818185c
Homepage: https://cran.r-project.org/package=adapt4pv
Description: CRAN Package 'adapt4pv' (Adaptive Approaches for Signal Detection in Pharmacovigilance)
 A collection of several pharmacovigilance signal detection methods based on
 adaptive lasso. Additional lasso-based and propensity score-based signal
 detection approaches are also supplied. See Courtois et al
 <doi:10.1186/s12874-021-01450-3>.

Package: r-cran-adaptalint
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lintr, r-cran-purrr
Suggests: r-cran-devtools, r-cran-git2r, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adaptalint_0.2.4-1.ca2004.1_all.deb
Size: 35204
MD5sum: dc71f29ee57d3d023ad037499b036237
SHA1: b7f6f18335eb2ea9e38ae709e7daccc7cb325e3f
SHA256: 2844eedc43f207c9d628dca6ab9da597922278ff0b719d6b5c47fc198a6c4c6a
SHA512: c2d4551aa5f0c27dd8977722e9571a5541859c8b7f9ef5e9b497b87b207d59fe19b3c15016d40df378c3f475a131991ff0f2d39aa6176371dc130cf83bc919df
Homepage: https://cran.r-project.org/package=adaptalint
Description: CRAN Package 'adaptalint' (Check Code Style Painlessly)
 Infer the code style (which style rules are followed and which ones are not)
 from one package and use it to check another. This makes it easier to find
 and correct the most important problems first.

Package: r-cran-adaptdiag
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-extradistr, r-cran-foreach, r-cran-pbmcapply
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-vgam, r-cran-covr
Filename: pool/dists/focal/main/r-cran-adaptdiag_0.1.0-1.ca2004.1_all.deb
Size: 191288
MD5sum: 3fb8e6b5f3183d6fc2e92ec0384d8854
SHA1: 23162355281160e008c778829444b736bd5ee550
SHA256: e24d3bd4fd709c5d004b2ddb22134fa1a158a8a5702aadc6033e1c9183619601
SHA512: 7fc9171be34881e159372093dc9aa69beaadda0a4c160a8bba11654a0fb209829795c82b5323a887171bcfa9846de189b309d06429373a9ce4186fb804e06764
Homepage: https://cran.r-project.org/package=adaptDiag
Description: CRAN Package 'adaptDiag' (Bayesian Adaptive Designs for Diagnostic Trials)
 Simulate clinical trials for diagnostic test devices and evaluate the
 operating characteristics under an adaptive design with futility assessment
 determined via the posterior predictive probabilities.

Package: r-cran-adaptivegpca
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2159
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-ggplot2, r-cran-shiny, r-bioc-phyloseq
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adaptivegpca_0.1.3-1.ca2004.1_all.deb
Size: 1315256
MD5sum: 33e38e57a1211d6f6d3744bb12a33fb6
SHA1: 005912f6f086daaac5ec5274477414373f452d40
SHA256: 4971c4582e82dbea8643fbc9c811f456c21ca8971e86f52fefeb536328119d9a
SHA512: fa68cd3748dcac095bbbf570771a023526294959a3451eb1ee778e96f122396ef737f3a5d53c5150f37aaeb1dd009144504de4569206d492446c4c20c78b91e0
Homepage: https://cran.r-project.org/package=adaptiveGPCA
Description: CRAN Package 'adaptiveGPCA' (Adaptive Generalized PCA)
 Implements adaptive gPCA, as described in: Fukuyama, J. (2017)
 <arXiv:1702.00501>. The package also includes functionality for applying the
 method to 'phyloseq' objects so that the method can be easily applied to
 microbiome data and a 'shiny' app for interactive visualization.

Package: r-cran-adaptmcmc
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-matrix, r-cran-ramcmc
Filename: pool/dists/focal/main/r-cran-adaptmcmc_1.5-1.ca2004.1_all.deb
Size: 42092
MD5sum: 9dd7bdedace2715545183d068263fdfc
SHA1: 0539576064ee83c54c521fe416fbac42197109bb
SHA256: b387c8ac8aa8e634d62ec132f7c5995f03cf7676c5d28ed1d18caf2445fed1aa
SHA512: 94ce2ecefdd87b346948979bb32b2fee2bf24664091649595621c81ca3be2a6dd9fe71c0e791829169eccf16280bcc2572538d951f76ea988a9b96108fe11e9c
Homepage: https://cran.r-project.org/package=adaptMCMC
Description: CRAN Package 'adaptMCMC' (Implementation of a Generic Adaptive Monte Carlo Markov ChainSampler)
 Enables sampling from arbitrary distributions if the log density is known up
 to a constant; a common situation in the context of Bayesian inference. The
 implemented sampling algorithm was proposed by Vihola (2012)
 <DOI:10.1007/s11222-011-9269-5> and achieves often a high efficiency by
 tuning the proposal distributions to a user defined acceptance rate.

Package: r-cran-adaptmt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1417
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-glmnet, r-cran-hdtweedie, r-cran-mgcv, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-adaptmt_1.0.0-1.ca2004.1_all.deb
Size: 1031592
MD5sum: 2733388f6af7f6d9bd7b60bf633db52b
SHA1: 6f98761839973150ee3da6926ef6587c26564af0
SHA256: f83cea16f556b7b91c6a06b078e1d30ba214df00b4c6719144b52502a4b9a7b0
SHA512: 1e75380bfedc080e962aeaabb29a09270b9064efe45b88b26d0af75b6bfe49a1a07f180d01ba0ffe59853a14d42362cab3d96cff6a78a221a8ae20d9ae04d1b1
Homepage: https://cran.r-project.org/package=adaptMT
Description: CRAN Package 'adaptMT' (Adaptive P-Value Thresholding for Multiple Hypothesis Testingwith Side Information)
 Implementation of adaptive p-value thresholding (AdaPT), including both a
 framework that allows the user to specify any algorithm to learn local false
 discovery rate and a pool of convenient functions that implement specific
 algorithms. See Lei, Lihua and Fithian, William (2016) <arXiv:1609.06035>.

Package: r-cran-adaptr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2719
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-covr, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-adaptr_1.4.0-1.ca2004.1_all.deb
Size: 2294540
MD5sum: 5e1ee449be0c6aa340b33ec47c5c6fb3
SHA1: 4e2000825b74c7f1ec5c1a860db1dd57521be6cf
SHA256: 821096aa6ad4e26316d447f74b53cfe8ae8597fcd50fce53fe258bfe5c91c8b6
SHA512: 2a7418caea17379613491bab9cfe779fb58bb87f26b7f8ab940dc180b3c8392b6d29e6c2d42f7064585c3a3c915065a4b5c7c668a34dd23791a73a4e2b8b14c6
Homepage: https://cran.r-project.org/package=adaptr
Description: CRAN Package 'adaptr' (Adaptive Trial Simulator)
 Package that simulates adaptive (multi-arm, multi-stage) clinical trials
 using adaptive stopping, adaptive arm dropping, and/or adaptive
 randomisation. Developed as part of the INCEPT (Intensive Care Platform
 Trial) project (<https://incept.dk/>), primarily supported by a grant from
 Sygeforsikringen "danmark" (<https://www.sygeforsikring.dk/>).

Package: r-cran-adapts
Architecture: all
Version: 1.0.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7653
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-missforest, r-cran-e1071, r-cran-comics, r-cran-pheatmap, r-cran-doparallel, r-cran-quantmod, r-bioc-preprocesscore, r-bioc-pcamethods, r-cran-foreach, r-cran-nnls, r-cran-ranger
Suggests: r-cran-r.rsp, r-bioc-deconrnaseq, r-cran-wgcna
Filename: pool/dists/focal/main/r-cran-adapts_1.0.22-1.ca2004.1_all.deb
Size: 4375040
MD5sum: 7dcc918d0baa283001ed91d4056a543f
SHA1: aaeb2d5f1260df4fd5465d838f996d119eec8733
SHA256: 4a0624deb923c2ab9648750babf5ad1af807b3e341ab615b0aad73b84b3f99c6
SHA512: d56172ba1b9ea84ba3609c6615a9ee16c5ce67e87c1a35205bee9a234bddb6af0d5f43b338fe39793e50df4fb89d39fbbd33515f1a85e0bbfa5929fcd3ca7a95
Homepage: https://cran.r-project.org/package=ADAPTS
Description: CRAN Package 'ADAPTS' (Automated Deconvolution Augmentation of Profiles for TissueSpecific Cells)
 Tools to construct (or add to) cell-type signature matrices using flow
 sorted or single cell samples and deconvolve bulk gene expression data.
 Useful for assessing the quality of single cell RNAseq experiments,
 estimating the accuracy of signature matrices, and determining cell-type
 spillover.  Please cite: Danziger SA et al. (2019) ADAPTS: Automated
 Deconvolution Augmentation of Profiles for Tissue Specific cells
 <doi:10.1371/journal.pone.0224693>.

Package: r-cran-adaptsmofmri
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1350
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.geom, r-cran-matrix, r-cran-coda, r-cran-mvtnorm, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-adaptsmofmri_1.2-1.ca2004.1_all.deb
Size: 1346808
MD5sum: 7a7241a7f18ab36d133ad61f64af9360
SHA1: 89754fe775a08812b3b644cf2eea559874bb28b4
SHA256: 8ee343a2bd0423f384c09c192cf5b3975a65d2c0199242e39374ff5b36084529
SHA512: 1b325ff73ac942364e80b120f0760e411241663d3f242bf39a9e0a7724f7737a19ed48a85bb6db3e71ff0c37ee75e2de4891b348469ef6f73b812fe591239657
Homepage: https://cran.r-project.org/package=adaptsmoFMRI
Description: CRAN Package 'adaptsmoFMRI' (Adaptive Smoothing of FMRI Data)
 Adaptive smoothing functions for estimating the blood oxygenation level
 dependent (BOLD) effect by using functional Magnetic Resonance Imaging
 (fMRI) data, based on adaptive Gauss Markov random fields, for real as well
 as simulated data. The implemented models make use of efficient Markov Chain
 Monte Carlo methods. Implemented methods are based on the research developed
 by A. Brezger, L. Fahrmeir, A.  Hennerfeind (2007)
 <https://www.jstor.org/stable/4626770>.

Package: r-cran-adapttest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-adapttest_1.2-1.ca2004.1_all.deb
Size: 129944
MD5sum: 63a54d199f588dcf738d9a3ad55fe14b
SHA1: 6bc48eaa67a4981d085003132e6e0595f526b65c
SHA256: e476f824749c082b8f3a4a1413bf24aa6f1bd1b6122e2fca3aa4452fb6840be0
SHA512: 6210de4c10e64d50db55baad581b7eff18db6a5d587f41bf41935647aab4ac37b9e38cc3a89fb881acf3ddd7e3fca861ba02dfb60a64f334948d10db84fa4d1c
Homepage: https://cran.r-project.org/package=adaptTest
Description: CRAN Package 'adaptTest' (Adaptive Two-Stage Tests)
 The functions defined in this program serve for implementing adaptive
 two-stage tests. Currently, four tests are included: Bauer and Koehne
 (1994), Lehmacher and Wassmer (1999), Vandemeulebroecke (2006), and the
 horizontal conditional error function. User-defined tests can also be
 implemented. Reference: Vandemeulebroecke, An investigation of two-stage
 tests, Statistica Sinica 2006.

Package: r-cran-adas.utils
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 882
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-gghalfnorm, r-cran-ggplot2, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-adas.utils_1.2.0-1.ca2004.1_all.deb
Size: 534756
MD5sum: ca93e15644c378b64d4ec0c9e44482b9
SHA1: b8881186c198d2cdb9dcba2a5ede56feea54bb7e
SHA256: 1925e155c55709329e1cb486cf1ce45553a89090d56705ce7138243a0652e7dc
SHA512: 34a69672cfcf2872f28a7c0f2c7e16b8f6f464e7ee55aec269e4dea8be1eea1d7265860080fb05eb6ba50fd77d7e5dc5e56cf901db09b7cb356d97f0ad1b01fb
Homepage: https://cran.r-project.org/package=adas.utils
Description: CRAN Package 'adas.utils' (Design of Experiments and Factorial Plans Utilities)
 A number of functions to create and analyze factorial plans according to the
 Design of Experiments (DoE) approach, with the addition of some utility
 function to perform some statistical analyses. DoE approach follows the
 approach in "Design and Analysis of Experiments" by Douglas C. Montgomery
 (2019, ISBN:978-1-119-49244-3). The package also provides utilities used in
 the course "Analysis of Data and Statistics" at the University of Trento,
 Italy.

Package: r-cran-adasampling
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-class, r-cran-e1071, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adasampling_1.3-1.ca2004.1_all.deb
Size: 51704
MD5sum: a82633aceb5b4a61dbec2ee97a0c313f
SHA1: c8ac62c22f87e8c34e7361906f50fef0557a56f0
SHA256: 16439c5b590006705653b40a723f139b0dc77a073c1762a1ad74337f0e0e0003
SHA512: 08c6a0861f84f9c7634006d54c4ea7a311f63b58c84f587e92a1394e7878bf67b8312f6564ba75418c3b0f7afb466c46db86eeaaaec2b46bdba6dce0f6cd60b7
Homepage: https://cran.r-project.org/package=AdaSampling
Description: CRAN Package 'AdaSampling' (Adaptive Sampling for Positive Unlabeled and Label NoiseLearning)
 Implements the adaptive sampling procedure, a framework for both positive
 unlabeled learning and learning with class label noise. Yang, P., Ormerod,
 J., Liu, W., Ma, C., Zomaya, A., Yang, J. (2018)
 <doi:10.1109/TCYB.2018.2816984>.

Package: r-cran-adass
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-matrixcalc, r-cran-sparsem, r-cran-mvtnorm, r-cran-rfast, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adass_1.0.1-1.ca2004.1_all.deb
Size: 121864
MD5sum: 6ae71a7d91c68bc161dc2c25a068178b
SHA1: 5714097181dd3fc8f2322f11cb44fd6805b9f65e
SHA256: 3b2fc9597c28aa9cd4c03beee408c6d6801aa4704669c62eea2832275196aeee
SHA512: dc01ba7700d5857138d1f5e3e6773190175261578048b05da33eb0620810764b83214bb24c462e41d7dd01791775c7bf3fda8d571330fa04c366777303df493c
Homepage: https://cran.r-project.org/package=adass
Description: CRAN Package 'adass' (Adaptive Smoothing Spline (AdaSS) Estimator for theFunction-on-Function Linear Regression)
 Implements the adaptive smoothing spline estimator for the
 function-on-function linear regression model described in Centofanti et al.
 (2023) <doi:10.1007/s00180-022-01223-6>.

Package: r-cran-adbi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-adbcdrivermanager, r-cran-nanoarrow
Suggests: r-cran-testthat, r-cran-covr, r-cran-dbitest, r-cran-adbcsqlite, r-cran-withr, r-cran-bit64, r-cran-arrow
Filename: pool/dists/focal/main/r-cran-adbi_0.1.1-1.ca2004.1_all.deb
Size: 338948
MD5sum: 1b29d1220bdd465e54fdbd8bda4248fe
SHA1: 0d578056b6e7e58198b217754856f4be89c0a42d
SHA256: f1ab2c838c53747842c6dfd5486812afcf18736f5305d98b960198e94d8c2580
SHA512: 6d4e43f38c329cabed3236e74e243c8b161d913f5d7be6d96d37f551ce801652f4aa2b062bf6cbb1cd2859e9c599c3fbc915adfd86c8040cde1239946cbc087c
Homepage: https://cran.r-project.org/package=adbi
Description: CRAN Package 'adbi' ('DBI' Compliant Database Access Using 'ADBC')
 In order to make Arrow Database Connectivity ('ADBC'
 <https://arrow.apache.org/adbc/>) accessible from R, an interface compliant
 with the 'DBI' package is provided, using driver back-ends that are
 implemented in the 'adbcdrivermanager' framework. This enables interacting
 with database systems using the Arrow data format, thereby offering an
 efficient alternative to 'ODBC' for analytical applications.

Package: r-cran-adc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-runner
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adc_1.0.0-1.ca2004.1_all.deb
Size: 161936
MD5sum: 0a1901df6ff43bcfe3896864e21e838e
SHA1: bac6ddcd1a44bbf2e2386cbafc308e5918fa6ffc
SHA256: 09411350bd562cb4af118dabd3732b4f1485d6fbdec097742a8ec614edc1e47a
SHA512: e3cf81d2b1de371cfce7129d75397c1adfb9f9f7e453b4182b730c54fb29bab0090e380ec119cbab0d03ff265e07a05f379872600a7c76e4a384811164e82898
Homepage: https://cran.r-project.org/package=adc
Description: CRAN Package 'adc' (Calculate Antecedent Discharge Conditions)
 Calculates some antecedent discharge conditions useful in water quality
 modeling. Includes methods for calculating flow anomalies, base flow, and
 smooth discounted flows from daily flow measurements. Antecedent discharge
 algorithms are described and reviewed in Zhang and Ball (2017)
 <doi:10.1016/j.jhydrol.2016.12.052>.

Package: r-cran-adct
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-clinfun, r-cran-gsdesign
Filename: pool/dists/focal/main/r-cran-adct_0.1.0-1.ca2004.1_all.deb
Size: 32272
MD5sum: 303c18d6a3a07b21294f13d7e90fd9be
SHA1: e85f7f2d9c7727976bbe122d145700684799a2ff
SHA256: 1923147769bd18c63cb0942cdd36f0b0850fb16cb02c7208b25616679ef034b1
SHA512: f388d90b5e402d807afe578dd39fcc8b91e80307545829f258d7afbb2edaf5bbd134e3f9b1a91cbee6aff199d683c501cd0494ab0a08c87b2e1b3d6768cd4084
Homepage: https://cran.r-project.org/package=ADCT
Description: CRAN Package 'ADCT' (Adaptive Design in Clinical Trials)
 Existing adaptive design methods in clinical trials. The package includes
 power, stopping boundaries (sample size) calculation functions for two-group
 group sequential designs, adaptive design with coprimary endpoints,
 biomarker-informed adaptive design, etc.

Package: r-cran-add2ggplot
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-magick, r-cran-zeallot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-add2ggplot_0.3.0-1.ca2004.1_all.deb
Size: 267536
MD5sum: 68c2cdafb6ab8b6a6ab46d59a5430ebe
SHA1: 7e8636b386e35f3eab2a65b33493595283c68c82
SHA256: 296b9510f06f8c1d522e1cddf18d6c399390fed8ef1e06483aa0e4820eb48078
SHA512: 134629634196224590e32a61684b15c959ddd79556f47ca83dcfa9a9607353656c5008532d9640cd20b9ec6236991887849b924b5b63f422382d65e93f59825f
Homepage: https://cran.r-project.org/package=add2ggplot
Description: CRAN Package 'add2ggplot' (Add to 'ggplot2')
 Create 'ggplot2' themes and color palettes.

Package: r-cran-addhaz
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-addhaz_0.5-1.ca2004.1_all.deb
Size: 153888
MD5sum: c0c52fab241a57784a674227bec24a7a
SHA1: 0d6b9cbc0cb32bb57655d42186096c3a159d9d53
SHA256: 1bad66899627eda08940df94ea7e79669aceef055e6f2a59a9d2ecd8f0fdf033
SHA512: 35c46ffb44191c38fc7014ec959c61dc3e38d5831a2d2eaa14ea9fa9e8f8df11f1aded53da0db92e82c8b02603e9a3f8055701a4a0bfbc6aa5fd7504024af1ad
Homepage: https://cran.r-project.org/package=addhaz
Description: CRAN Package 'addhaz' (Binomial and Multinomial Additive Hazard Models)
 Functions to fit the binomial and multinomial additive hazard models and to
 estimate the contribution of diseases/conditions to the disability
 prevalence, as proposed by Nusselder and Looman (2004) and extended by
 Yokota et al (2017).

Package: r-cran-addhazard
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ahaz, r-cran-survival, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-addhazard_1.1.0-1.ca2004.1_all.deb
Size: 161556
MD5sum: 2c4d18f1c5ad32b06e97a499e4f18d43
SHA1: a1955e336f91dca86da1f19ad8027dbd2330364a
SHA256: a446843ce9d5a50446b66186e584d3891876f33bc4cda4e24f4944dd1d97a22d
SHA512: 8f361635e9213bb4b64362a513fb782a312f4f9a6c6fcc630c4130f244b500ebb6f1c29876773e2d29f654c87a626ab97cd67076aa151e8118eeb6bcffacc9ef
Homepage: https://cran.r-project.org/package=addhazard
Description: CRAN Package 'addhazard' (Fit Additive Hazards Models for Survival Analysis)
 Contains tools to fit the additive hazards model to data from a cohort,
 random sampling, two-phase Bernoulli sampling and two-phase finite
 population sampling, as well as calibration tool to incorporate phase I
 auxiliary information into the two-phase data model fitting.  This package
 provides regression parameter estimates and their model-based and robust
 standard errors. It also offers tools to make prediction of individual
 specific hazards.

Package: r-cran-addinsjoaomelo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-rstudioapi, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-addinsjoaomelo_0.1.0-1.ca2004.1_all.deb
Size: 14172
MD5sum: 56b747349a4cb9a9105797394fbd3e16
SHA1: b6f36bd1a42ee94272144050c5f2766be005f56b
SHA256: 7ffdff3f7b6d01d1e11f07643d7d5475d2a4f793a6810abc7a9aba2e424c5d2b
SHA512: 343901debeb421460065043261cbb52cc422b2ab537370b56494a388e09693b073c1c6122afe5b5c08759b385b48b8f9f24a1bfee7dea2d0fc4dd05ed4901af7
Homepage: https://cran.r-project.org/package=addinsJoaoMelo
Description: CRAN Package 'addinsJoaoMelo' (Addins Made of Joao Melo)
 Provide addins for 'RStudio'.  It currently contains 3 addins. The first to
 add a shortcut for the double pipe. The second is to add a shortcut for the
 same operator. And the third to simplify the creation of vectors from texts
 pasted from the computer transfer area.

Package: r-cran-addinslist
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-remotes, r-cran-dt, r-cran-miniui, r-cran-shiny, r-cran-shinyjs, r-cran-rappdirs, r-cran-rmarkdown, r-cran-rvest, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-addinslist_0.5.0-1.ca2004.1_all.deb
Size: 93980
MD5sum: 847d86922c6f8335e84a4fc3778240ea
SHA1: 6eeb06ad55e3299faff2abd99b5afe6220f15bb6
SHA256: 04b1f3970ed0fd453c5151d60285572b02a9900ffdf37afda00707989e6c503f
SHA512: d5631957e23de4fa2f9f45972db04cd9a0a524427846c39414d50bdeb9ec490a499f453ae65ce466c3846510fbfcb768e1cf90f45dcbd1c4bc294627638847fc
Homepage: https://cran.r-project.org/package=addinslist
Description: CRAN Package 'addinslist' (Discover and Install Useful RStudio Addins)
 Browse through a continuously updated list of existing RStudio addins and
 install/uninstall their corresponding packages.

Package: r-cran-addinsoutline
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-shinyfiles, r-cran-stringr, r-cran-dplyr, r-cran-tibble, r-cran-yaml, r-cran-rmarkdown, r-cran-fs, r-cran-dt
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-addinsoutline_0.1.6-1.ca2004.1_all.deb
Size: 103868
MD5sum: 9d32ac25a535056a5871953316949025
SHA1: 07cb3ee26a67b611d7b300de4fa48ff517893c46
SHA256: b5602999fe4427c22eb1eeee30d454fab88dd75bd72af7b1274b2cf7b7926850
SHA512: 06a67f3fcd75f34eb8ad844395de69935601c9faf1ecb42e7a584af86682c77ef3fce279919e3a207a8cb04ac31c1760318b9fa9758d70375416afe5c28bca44
Homepage: https://cran.r-project.org/package=addinsOutline
Description: CRAN Package 'addinsOutline' ('RStudio' Addins for Show Outline of a R Markdown/'LaTeX'Project)
 'RStudio' allows to show and navigate for the outline of a R Markdown file,
 but not for R Markdown projects with multiple files. For this reason, I have
 developed several 'RStudio' addins capable of show project outline. Each
 addin is specialized in showing projects of different types: R Markdown
 project, 'bookdown' package project and 'LaTeX' project. There is a
 configuration file that allows you to customize additional searches.

Package: r-cran-additive
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mgcv, r-cran-parsnip, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-recipes, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-workflows
Filename: pool/dists/focal/main/r-cran-additive_1.0.1-1.ca2004.1_all.deb
Size: 129296
MD5sum: 491d9549ffee0dde19882768431afb3d
SHA1: 2b3d676331e755c2b35d2ef72e6e30cd9afc23c0
SHA256: 502389074362c5c03d4ad4673bc282777260095dc82a151547905dc2a99b48d5
SHA512: c386bfa985920aff6a8b6cdb8d9ea6ef8b67e437eb65a7e4cee2055b99ae8fcbd6bfa33c456063deeac1d68b8db331fa48136cc6c9834fdce210c95df15e0849
Homepage: https://cran.r-project.org/package=additive
Description: CRAN Package 'additive' (Bindings for Additive TidyModels)
 Fit Generalized Additive Models (GAM) using 'mgcv' with
 'parsnip'/'tidymodels' via 'additive' <doi:10.5281/zenodo.4784245>.
 'tidymodels' is a collection of packages for machine learning; see Kuhn and
 Wickham (2020) <https://www.tidymodels.org>).  The technical details of
 'mgcv' are described in Wood (2017) <doi:10.1201/9781315370279>.

Package: r-cran-additivedea
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi, r-cran-benchmarking
Filename: pool/dists/focal/main/r-cran-additivedea_1.1-1.ca2004.1_all.deb
Size: 59968
MD5sum: 44f08d047c0d3cef27419837fcf2d5e4
SHA1: ba870efc6f4b7556f7b977e02f885d8e8484979f
SHA256: 331bc297b9688e7c485dc39429dde0b1506273c56c4476f4d4b3788eb13434f2
SHA512: 03dc4955dbbf7c1da17adc025719a9c94695cc7a8a2bb4b70c11219bf48aa02369e7513cd678e5ffb609ec6476c56ef2ad48d438e2b05e011b19fb095e512d69
Homepage: https://cran.r-project.org/package=additiveDEA
Description: CRAN Package 'additiveDEA' (Additive Data Envelopment Analysis Models)
 Provides functions for calculating efficiency with two types of additive
 Data Envelopment Analysis models: (i) Generalized Efficiency Measures:
 unweighted additive model (Cooper et al., 2007
 <doi:10.1007/978-0-387-45283-8>), Range Adjusted Measure (Cooper et al.,
 1999, <doi:10.1023/A:1007701304281>), Bounded Adjusted Measure (Cooper et
 al., 2011 <doi:10.1007/s11123-010-0190-2>), Measure of Inefficiency
 Proportions (Cooper et al., 1999 <doi:10.1023/A:1007701304281>), and the
 Lovell-Pastor Measure (Lovell and Pastor, 1995
 <doi:10.1016/0167-6377(95)00044-5>); and (ii) the Slacks-Based Measure
 (Tone, 2001 <doi:10.1016/S0377-2217(99)00407-5>). The functions provide
 several options: (i) constant and variable returns to scale; (ii) fixed
 (non-controllable) inputs and/or outputs; (iii) bounding the slacks so that
 unrealistically large slack values are avoided; and (iv) calculating the
 efficiency of specific Decision-Making Units (DMUs), rather than of the
 whole sample. Package additiveDEA also provides a function for reducing
 computation time when datasets are large.

Package: r-cran-additivitytests
Architecture: all
Version: 1.1-4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-additivitytests_1.1-4.2-1.ca2004.1_all.deb
Size: 50792
MD5sum: c61df154ff89588b2ba8a76b00e7f951
SHA1: d4734c8c6028e053ca109cf49ad4b6630f1261d4
SHA256: 6901d9a9f9e147181db3eee12f88efd46b2f2dac65c8e324269bd23faf0e27d8
SHA512: 144be01ab35451d5d5fbfbd4afef5275f75859ac1eea86912e335f58e89a6a645cd73a67a88462aa827cd57af6e0fb2d4649716268a72ed5097147cbba77d1e9
Homepage: https://cran.r-project.org/package=additivityTests
Description: CRAN Package 'additivityTests' (Additivity Tests in the Two Way Anova with Single Sub-ClassNumbers)
 Implementation of the Tukey, Mandel, Johnson-Graybill, LBI, Tusell and
 modified Tukey non-additivity tests.

Package: r-cran-addreg
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-glm2, r-cran-turboem
Filename: pool/dists/focal/main/r-cran-addreg_3.0-1.ca2004.1_all.deb
Size: 253820
MD5sum: 806fbc87c6970493f00902b3e2809d7a
SHA1: fa0008f595fd23ea49af600a41e6e956e946a6e8
SHA256: 37dd1a1f8f11019bdb4dca5fb2ee2727662f628362645eb5eaef731203c4a099
SHA512: 1b9fe95a735794eeccd5da38ed6337e208592f327ca2548017ace650ea0acdb8b0db8eda61a9d05004c17461251d8e034799adcbd8477dc4cf4d562113ced3d0
Homepage: https://cran.r-project.org/package=addreg
Description: CRAN Package 'addreg' (Additive Regression for Discrete Data)
 Methods for fitting identity-link GLMs and GAMs to discrete data, using
 EM-type algorithms with more stable convergence properties than standard
 methods.

Package: r-cran-addscales
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-addscales_1.0-1-1.ca2004.1_all.deb
Size: 2221380
MD5sum: 3359002bd9f05a82e8e329738efefd31
SHA1: c1e42e0b4059ec38c07b4c2abc563e06ecca4217
SHA256: 1c7ef3621bfb572c53493a31bec06f19a5c47ba5c89618a7fb25068cfee5050b
SHA512: 9f33c49394d27ca2c6ebe4b48948dc37ea7558e2666943a94e7ee1eca8f422483d3aededb212619de7e527d676638d1068e367c98d8c4618bd22115179633541
Homepage: https://cran.r-project.org/package=addScales
Description: CRAN Package 'addScales' (Adds Labeled Center Line and Scale Lines/Regions to TrellisPlots)
 Modifies trellis objects by adding horizontal and/or vertical reference
 lines or shaded regions that provide visual scaling information.  This is
 mostly useful in multi-panel plots that use the relation = 'free' option in
 their 'scales' argument list.

Package: r-cran-addt
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-matrix, r-cran-coneproj
Filename: pool/dists/focal/main/r-cran-addt_2.0-1.ca2004.1_all.deb
Size: 153568
MD5sum: 33624c5f9fe5580b3d2a17e08c08ab14
SHA1: 9fcbe379f1a6940193895575969e8e75f838dd2e
SHA256: fa3f7ae31f70fadba6482aca65d568ab524d132c668a615cb62a2837a3c9b91a
SHA512: 609388839429b271252a154a5c139565eeb950e44f0962943589f23448e294c6f4ae5f8519f1b197b2d7cfd1ef603956cccc795fefada438b784431433cdd297
Homepage: https://cran.r-project.org/package=ADDT
Description: CRAN Package 'ADDT' (Analysis of Accelerated Destructive Degradation Test Data)
 Accelerated destructive degradation tests (ADDT) are often used to collect
 necessary data for assessing the long-term properties of polymeric
 materials. Based on the collected data, a thermal index (TI) is estimated.
 The TI can be useful for material rating and comparison. This package
 implements the traditional method based on the least-squares method, the
 parametric method based on maximum likelihood estimation, and the
 semiparametric method based on spline methods, and the corresponding methods
 for estimating TI for polymeric materials. The traditional approach is a
 two-step approach that is currently used in industrial standards, while the
 parametric method is widely used in the statistical literature. The
 semiparametric method is newly developed. Both the parametric and
 semiparametric approaches allow one to do statistical inference such as
 quantifying uncertainties in estimation, hypothesis testing, and
 predictions. Publicly available datasets are provided illustrations. More
 details can be found in Jin et al. (2017).

Package: r-cran-ade4tkgui
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-adegraphics, r-cran-lattice
Suggests: r-cran-pixmap, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-ade4tkgui_0.3.4-1.ca2004.1_all.deb
Size: 429168
MD5sum: 3b15e574062229cfacb32c93f7cbf769
SHA1: 55f7c4c88d44766f2efa1eb5ca64b1fcdcb788ef
SHA256: 477af12deb59da623f0eb54c0e70ee50a29b9076ca6288b900d7ab2a633b0908
SHA512: 76a0a9dce0648ba0f08592b1769f3102917f8afc137c5bfef487ec17af6d93e658442ec4bb4b96dc06ae946630968ea315d6bebf41b108336f500ae34773774a
Homepage: https://cran.r-project.org/package=ade4TkGUI
Description: CRAN Package 'ade4TkGUI' ('ade4' Tcl/Tk Graphical User Interface)
 A Tcl/Tk GUI for some basic functions in the 'ade4' package.

Package: r-cran-adea
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-roi.plugin.glpk, r-cran-roi.plugin.lpsolve, r-cran-roi.plugin.symphony, r-cran-combinat, r-cran-knitr, r-cran-lpsolveapi, r-cran-parallelly, r-cran-roi, r-cran-slam
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adea_1.5.2-1.ca2004.1_all.deb
Size: 287856
MD5sum: b634df102f9ca34827c079360dd78f9d
SHA1: c1bad34507efac7c4d36a60c4a5e138e0c96a82c
SHA256: fc4290f4bd661933d9c309c9e5fb8c167797efdea7f05fe6e7ff53cbbc563dc8
SHA512: 75cfbbc3957e8b439941c25e082e6e6a77a620fe17454f21c66184265033bbb6ae9ec938ca85fc88cfb57536fd282c61792d5e5450531c94077fdbb3b48e7c80
Homepage: https://cran.r-project.org/package=adea
Description: CRAN Package 'adea' (Alternate DEA Package)
 The meaning of adea is "alternate DEA". This package is devoted to provide
 the alternative method of DEA described in the paper entitled "Stepwise
 Selection of Variables in DEA Using Contribution Load", by F.
 Fernandez-Palacin, M. A. Lopez-Sanchez and M. Munoz-Marquez. Pesquisa
 Operacional 38 (1), pg. 1-24, 2018.
 <doi:10.1590/0101-7438.2018.038.01.0031>.  A full functional on-line and
 interactive version is available at <https://knuth.uca.es/shiny/DEA/>.

Package: r-cran-adegraphics
Architecture: all
Version: 1.0-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4619
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-kernsmooth, r-cran-lattice, r-cran-latticeextra, r-cran-rcolorbrewer, r-cran-sp
Suggests: r-cran-car, r-cran-guerry, r-cran-knitr, r-cran-markdown, r-cran-pixmap, r-cran-rmarkdown, r-cran-spdep, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-adegraphics_1.0-22-1.ca2004.1_all.deb
Size: 3248560
MD5sum: ab4a35f9d1a83284039f6e4c4ef4b859
SHA1: 77e602894f327031bd371e572f6ac0d7e0ef0419
SHA256: db99f89e56eb1570f5400cd0b690f13c88a2df527298032b203e5044b5b7d198
SHA512: 96cbbc6c31d143ed3d495a7861a5445af38c54bc4966a7d96064a00c640e4fbae1337cd76e4ef5842608e553fb51439b8d0b80e0966af2d8272556db8431f79b
Homepage: https://cran.r-project.org/package=adegraphics
Description: CRAN Package 'adegraphics' (An S4 Lattice-Based Package for the Representation ofMultivariate Data)
 Graphical functionalities for the representation of multivariate data. It is
 a complete re-implementation of the functions available in the 'ade4'
 package.

Package: r-cran-adepro
Architecture: all
Version: 4.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinybs, r-cran-seriation, r-cran-mass, r-cran-v8, r-cran-forcats, r-cran-here, r-cran-shinyjs, r-cran-shiny, r-cran-audio, r-cran-shape, r-cran-cairo, r-cran-dplyr, r-cran-readr, r-cran-rlang, r-cran-tidyr, r-cran-haven, r-cran-shinywidgets, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adepro_4.2.7-1.ca2004.1_all.deb
Size: 364408
MD5sum: c6ca7edc7c386fa6601b4daad5e4aade
SHA1: 09c6e3581fd3d77ee43c3c669a14fb40f448f10d
SHA256: 2dfa71639adaabf445901d4872473b3bd396a9f8803973df443fda0a28574a1b
SHA512: 987c69969e32d4d403874af8d3d2a8191474496889406a5fec9ab7abd57053f7340a7cf273aa267a0823e63ce9e1f2fc72a284ebb9d86eb1d854cf57d16fe6ed
Homepage: https://cran.r-project.org/package=adepro
Description: CRAN Package 'adepro' (A 'shiny' Application for the (Audio-)Visualization of AdverseEvent Profiles)
 Contains a 'shiny' application called AdEPro (Animation of Adverse Event
 Profiles) which (audio-)visualizes adverse events occurring in clinical
 trials. As this data is usually considered sensitive, this tool is provided
 as a stand-alone application that can be launched from any local machine on
 which the data is stored.

Package: r-cran-adept
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-dvmisc, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-lubridate, r-cran-reshape2, r-cran-gridextra, r-cran-spelling, r-cran-cluster, r-cran-adeptdata, r-cran-covr
Filename: pool/dists/focal/main/r-cran-adept_1.2-1.ca2004.1_all.deb
Size: 3706748
MD5sum: b225999085079e56eaebd08cd6b2b7d2
SHA1: 9fd55a464306208a20167c588d681845c7068564
SHA256: a08c5da3b7ab11a823981cbcb047a785ac9ee907a3ff1a0e3be411aee4e54e64
SHA512: 65e0c7452f7497c5f0293a3389192ca7e6622b7f4e1b6f9c8823d9b648e8559518808a32734711232f6023c529ab3c70391fc49f12c4cccb1ad7cf330a3e8110
Homepage: https://cran.r-project.org/package=adept
Description: CRAN Package 'adept' (Adaptive Empirical Pattern Transformation)
 Designed for optimal use in performing fast, accurate walking strides
 segmentation from high-density data collected from a wearable accelerometer
 worn during continuous walking activity.

Package: r-cran-adeptdata
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9612
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-adeptdata_1.1-1.ca2004.1_all.deb
Size: 9780060
MD5sum: 2ebfc446684bd8ef8aac892d723733c8
SHA1: 98744058c41212438c424a192a3e8829d4d75820
SHA256: 36e357c5822b4c936f83006e6d4b227c9a001b3f582a7dc6975f2440c90caa05
SHA512: 9a8b5c632c259462960436fc70f685300d6967bd981724668133b2fc4825dc592ab30a8e63116647db26e7452da5218096b9c97bba98597f17340066e4fe1504
Homepage: https://cran.r-project.org/package=adeptdata
Description: CRAN Package 'adeptdata' (Accelerometry Data Sets)
 Created to host raw accelerometry data sets and their derivatives which are
 used in the corresponding 'adept' package.

Package: r-cran-adequacymodel
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-adequacymodel_2.0.0-1.ca2004.1_all.deb
Size: 52220
MD5sum: b347d267e7e53bc2ad5c2ab19f91d034
SHA1: 50be4f65f56a50994cdae9eaf50cc5d7366d4b9f
SHA256: 41555c10bd1f33f2f4eb75208981cf34866fcb1945d6b1b95e6ca9f0af51fe00
SHA512: 8589b6c9144c1b5f38e13ba1d85ccc265f7a89def32682606b8ebebeac25eab497ce064ee5222e36ea59fb7ed3a4c3e57a79b7fa9d5d33357cbd96eebe91ddd5
Homepage: https://cran.r-project.org/package=AdequacyModel
Description: CRAN Package 'AdequacyModel' (Adequacy of Probabilistic Models and General PurposeOptimization)
 The main application concerns to a new robust optimization package with two
 major contributions. The first contribution refers to the assessment of the
 adequacy of probabilistic models through a combination of several
 statistics, which measure the relative quality of statistical models for a
 given data set. The second one provides a general purpose optimization
 method based on meta-heuristics functions for maximizing or minimizing an
 arbitrary objective function.

Package: r-cran-ader
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ader_1.5-1.ca2004.1_all.deb
Size: 60932
MD5sum: 8656a175379ec1f99ededd8fc2ae3980
SHA1: d20858ed534a910d6194dcd72c7908fd89b9ee81
SHA256: 45d2d75d4e6d430315a754e6d3136b2dfa4bb12247d4111bde1ce11cdf6a9fb7
SHA512: f30852de9bad198026f38803814f56219ed9f483ba1fce459f223c2bf55d3298abc1b2a350168e65f4bfbb3a5412714509e4cd3e8d08a2e6810ee226af9c72ba
Homepage: https://cran.r-project.org/package=ADER
Description: CRAN Package 'ADER' (Data Analysis in Ecology)
 Data sets used in Cayuela and De la Cruz (2022, ISBN:978-84-8476-833-3).

Package: r-cran-adformr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-adformr_0.1.0-1.ca2004.1_all.deb
Size: 22136
MD5sum: 9e9487e33959b9be707bac173ad0ae10
SHA1: 5abeef2fbe739580201015298840e5c3016d3c14
SHA256: 7239757e7d703f23863e968d8cfe5fc7163363141d37976113e1fdc552ae9e2d
SHA512: bb8fb3b9a0441209c47c9cee9e10d8a160b46aa5ca9f6a666ce0fba76d03935f7d5be9759e62d2a513e5d05c4aa75b3b64dbddd764f08939ce6c0b98c1bf9258
Homepage: https://cran.r-project.org/package=adformR
Description: CRAN Package 'adformR' (Get Adform Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Adform Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-adgoftest
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-adgoftest_0.3-1.ca2004.1_all.deb
Size: 15496
MD5sum: 9009516bb3e15d79af3e01a4fc5cc25a
SHA1: 64ec5f0b16647b47e6f8f711ea103a74aa70541e
SHA256: 6571b586c6ff81ea9bd01f25ca18b7c08bea6d8f1051ddc416c6d6dab1985ca0
SHA512: 6fe85efb85658e34e6ecef44c8af5edf89660f307463b9106fd6fa8c47dc22606f1beda307a4da375c6193d0282b46e41aef47da218e31b52a667e8bfc2bd471
Homepage: https://cran.r-project.org/package=ADGofTest
Description: CRAN Package 'ADGofTest' (Anderson-Darling GoF test)
 Anderson-Darling GoF test with p-value calculation based on Marsaglia's 2004
 paper "Evaluating the Anderson-Darling Distribution"

Package: r-cran-adherer
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6201
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lubridate, r-cran-data.table, r-cran-rsvg, r-cran-jpeg, r-cran-png, r-cran-webp
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-r.rsp, r-cran-base64, r-cran-viridislite, r-cran-adhererviz
Filename: pool/dists/focal/main/r-cran-adherer_0.8.1-1.ca2004.1_all.deb
Size: 3680512
MD5sum: a91e7586c91c5ee378a0e61a39fed0eb
SHA1: 0e693440af8cd6fec86a9b25bb106229f713909a
SHA256: c4b8f833b70a364c692e3f7a0ec7159e4223868c57f3776f8d57452aa578eaf3
SHA512: a78d6a30e0e1226311b452c96fa2a0743af4493abe411ceeef1834252257b7d1dac2d8cc7ecdc7873d6089cc67a317396ad943492bed71cfa5dc777f173aee8d
Homepage: https://cran.r-project.org/package=AdhereR
Description: CRAN Package 'AdhereR' (Adherence to Medications)
 Computation of adherence to medications from Electronic Health care Data and
 visualization of individual medication histories and adherence patterns. The
 package implements a set of S3 classes and functions consistent with current
 adherence guidelines and definitions.  It allows the computation of
 different measures of adherence (as defined in the literature, but also
 several original ones), their publication-quality plotting, the estimation
 of event duration and time to initiation, the interactive exploration of
 patient medication history and the real-time estimation of adherence given
 various parameter settings.  It scales from very small datasets stored in
 flat CSV files to very large databases and from single-thread processing on
 mid-range consumer laptops to parallel processing on large heterogeneous
 computing clusters.  It exposes a standardized interface allowing it to be
 used from other programming languages and platforms, such as Python.

Package: r-cran-adhererviz
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2924
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-adherer, r-cran-data.table, r-cran-manipulate, r-cran-shiny, r-cran-shinywidgets, r-cran-shinyjs, r-cran-v8, r-cran-colourpicker, r-cran-viridislite, r-cran-highlight, r-cran-clipr, r-cran-knitr, r-cran-dbi, r-cran-rmariadb, r-cran-rsqlite
Suggests: r-cran-rmarkdown, r-cran-readods, r-cran-readxl, r-cran-haven, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-adhererviz_0.2.1-1.ca2004.1_all.deb
Size: 1602652
MD5sum: 4993c4e686135e40945ab4029056a8e4
SHA1: c01cc7dcfeb74c1560eb7bc177d49227d78fbbf4
SHA256: 79184c585c200f220507adc7cebfb4b00e0e0abf83003ec3988dbd2984d3a39f
SHA512: 77a24e4e4ff2ed43e9e1e90065a094997f5b4979ec3f0a778b7315644fac82f360b69ea9832da42b6faa4f83851f07e2352acacdf54045570367f65e7708e378
Homepage: https://cran.r-project.org/package=AdhereRViz
Description: CRAN Package 'AdhereRViz' (Adherence to Medications)
 Interactive graphical user interface (GUI) for the package 'AdhereR',
 allowing the user to access different data sources, to explore the patterns
 of medication use therein, and the computation of various measures of
 adherence. It is implemented using Shiny and HTML/CSS/JavaScript.

Package: r-cran-adhoc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-pegas, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-adhoc_1.1-1.ca2004.1_all.deb
Size: 55036
MD5sum: f5e8b634e28baaddbf738e7b17549bda
SHA1: 25ae93456b94fa7184fd2452c686a408e933b20f
SHA256: e723e1ec8da86ef8a1721a34f028b9f800b4f58b8629aa0f51056c9b3a1a23e1
SHA512: bff64ad9a876eabc2ff4eb202c3b441f11d06374e4b592e077faf7863d72c0565f142102240b38d2e6c3d0aad62cac7c0e3639ee4ddd949892876f08fd6dfa1b
Homepage: https://cran.r-project.org/package=adhoc
Description: CRAN Package 'adhoc' (Calculate Ad Hoc Distance Thresholds for DNA BarcodingIdentification)
 Two functions to calculate intra- and interspecific pairwise distances,
 evaluate DNA barcoding identification error and calculate an ad hoc distance
 threshold for each particular reference library of DNA barcodes. Specimen
 identification at this ad hoc distance threshold (using the best close match
 method) will produce identifications with an estimated relative error
 probability that can be fixed by the user (e.g. 5%).

Package: r-cran-adismf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aiccmodavg, r-cran-ggplot2, r-cran-nls2
Filename: pool/dists/focal/main/r-cran-adismf_0.1.0-1.ca2004.1_all.deb
Size: 36776
MD5sum: 9642cece3fc4136d883dd5a71b0fa46a
SHA1: 366a0573840966fd0efbb5fb123f3cb08877149e
SHA256: acbcca0207b93f2354dbb4ed4784a339c4bc61a132080150522a693334a440be
SHA512: 02af081f607668ae2fda1973de88e031fe83ff6ec11dee1f26815a8410cd9ad0d53aad8110b02688d3101320e439bb1a418894242974cb6a2dd6b3883ba8361e
Homepage: https://cran.r-project.org/package=AdIsMF
Description: CRAN Package 'AdIsMF' (Adsorption Isotherm Model Fitting)
 The Langmuir and Freundlich adsorption isotherms are pivotal in
 characterizing adsorption processes, essential across various scientific
 disciplines. Proper interpretation of adsorption isotherms involves robust
 fitting of data to the models, accurate estimation of parameters, and
 efficiency evaluation of the models, both in linear and non-linear forms.
 For researchers and practitioners in the fields of chemistry, environmental
 science, soil science, and engineering, a comprehensive package that
 satisfies all these requirements would be ideal for accurate and efficient
 analysis of adsorption data, precise model selection and validation for
 rigorous scientific inquiry and real-world applications. Details can be
 found in Langmuir (1918) <doi:10.1021/ja02242a004> and Giles (1973)
 <doi:10.1111/j.1478-4408.1973.tb03158.x>.

Package: r-cran-adiv
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1023
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ade4, r-cran-adegraphics, r-cran-ape, r-cran-cluster, r-cran-lpsolve, r-cran-phylobase, r-cran-phytools, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-adiv_2.2.1-1.ca2004.1_all.deb
Size: 986580
MD5sum: 0f26cb379128377ebeec009e7b19dfe1
SHA1: 1f864cea7f21a4ab1f8ca504d54d1d550e63c7e1
SHA256: e83622a772fedaaffcc7a070aba0b1521c5d392707221e64b58980ca22352b36
SHA512: 337410151bf36dc334049bc0dd620d7c5a919b20f8bb379cec4a2ac60479be6f0aa7ebde311cd63c65d6c33217eee212ad5cab5be73b699bdf6b9359b86ac6fe
Homepage: https://cran.r-project.org/package=adiv
Description: CRAN Package 'adiv' (Analysis of Diversity)
 Functions, data sets and examples for the calculation of various indices of
 biodiversity including species, functional and phylogenetic diversity. Part
 of the indices are expressed in terms of equivalent numbers of species. The
 package also provides ways to partition biodiversity across spatial or
 temporal scales (alpha, beta, gamma diversities). In addition to the
 quantification of biodiversity, ordination approaches are available which
 rely on diversity indices and allow the detailed identification of species,
 functional or phylogenetic differences between communities.

Package: r-cran-adjbqr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-mhadaptive, r-cran-coda, r-cran-survival
Filename: pool/dists/focal/main/r-cran-adjbqr_1.0-1.ca2004.1_all.deb
Size: 27392
MD5sum: 2f6b7547e6fe39c7a52da9c6be4a4032
SHA1: af46c0c3eab2e327bdff00b0e32a275126e2acba
SHA256: 1a84d1f3a3c1cbe562fa2a1757c910164b231cbf79a6c08c5ade8d0961ec06c0
SHA512: cf3336453dda2dce87aa8ffdb579ea713a7cfa67ba4dc03943cd0a51689ef13c269682fd1c6a9ac2d068b0b76ce2af8bdf8db3121fbdd1cc89da9ea8146d8ab8
Homepage: https://cran.r-project.org/package=AdjBQR
Description: CRAN Package 'AdjBQR' (Adjusted Bayesian Quantile Regression Inference)
 Adjusted inference for Bayesian quantile regression based on asymmetric
 Laplace working likelihood, for details see Yang, Y., Wang, H.  and He, X.
 (2015), Posterior inference in Bayesian quantile regression with asymmetric
 Laplace likelihood, International Statistical Review, 2015
 <doi:10.1111/insr.12114>.

Package: r-cran-adjroc
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rocit, r-cran-ggplot2, r-cran-boot, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-adjroc_0.3-1.ca2004.1_all.deb
Size: 629808
MD5sum: ae29340242347f8d6a579206f227d7cf
SHA1: 3de4a43124351c4a7cf98127c79537ce105465b8
SHA256: 6427fc69ff4223400793e8000f8315fceb58e732522b74832d808d9b6fbecfdf
SHA512: 7f345148195c13798ea608b993b2a2976caf9bcef72c649bb953b0d80d89ad9ee67ddaa441af9b024956e804947f3284d44bacfcb345bd8f8c1d580758349442
Homepage: https://cran.r-project.org/package=adjROC
Description: CRAN Package 'adjROC' (Computing Sensitivity at a Fix Value of Specificity and ViceVersa as Well as Bootstrap Metrics for ROC Curves)
 For a binary classification the adjusted sensitivity and specificity are
 measured for a given fixed threshold. If the threshold for either
 sensitivity or specificity is not given, the crossing point between the
 sensitivity and specificity curves are returned. For bootstrap procedures,
 mean and CI bootstrap values of sensitivity, specificity, crossing point
 between specificity and specificity as well as AUC and AUCPR can be
 evaluated.

Package: r-cran-adjustedcranlogs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cranlogs, r-cran-xml2, r-cran-lubridate, r-cran-dplyr, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-adjustedcranlogs_0.1.0-1.ca2004.1_all.deb
Size: 227668
MD5sum: e8c65b147a8e488f1ae1258afb7a0c38
SHA1: 730897f3613279f038365c8b46be44911aee73b2
SHA256: 8a3f753a046a6fe98a43a1265731a610a866aa396b487113e0d1ce3186061b19
SHA512: 091f625ace429440160ea38a480f405dc5565d64e8d774d11ec59c6bd826e8758fe28da5f399d977c8ae8dc4e19f06dd9c095589ce09a1b1f1d5d4e8d9baade1
Homepage: https://cran.r-project.org/package=adjustedcranlogs
Description: CRAN Package 'adjustedcranlogs' (Remove Automated and Repeated Downloads from 'RStudio' 'CRAN'Download Logs)
 Adjusts output of 'cranlogs' package to account for 'CRAN'-wide daily
 automated downloads and re-downloads caused by package updates.

Package: r-cran-adjustedcurves
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-doparallel, r-cran-dorng, r-cran-dplyr, r-cran-foreach, r-cran-rlang, r-cran-survival
Suggests: r-cran-mass, r-cran-matching, r-cran-weightit, r-cran-cmprsk, r-cran-eventglm, r-cran-geepack, r-cran-ggplot2, r-cran-knitr, r-cran-mice, r-cran-nnet, r-cran-pammtools, r-cran-pec, r-cran-prodlim, r-cran-riskregression, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-ggpp, r-cran-vdiffr, r-cran-covr, r-cran-data.table, r-cran-numderiv, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-adjustedcurves_0.11.2-1.ca2004.1_all.deb
Size: 1225620
MD5sum: b1933577ab2dc937f2305239775cec63
SHA1: 53820d12b28c485d4f2fba4872333f8d42dbc7cf
SHA256: b87532e54cbb2e93575e3080932bafc0dd74079d24041c41ea55fdf44fe62ac1
SHA512: de2695272d9cb406c6e053a2e8544ea4bc95408ef4bdacdf32be832ae0c94d0ab552a03767ba9cbc685c7faa6eb86717f16be188d23e6adf72baf09e30888178
Homepage: https://cran.r-project.org/package=adjustedCurves
Description: CRAN Package 'adjustedCurves' (Confounder-Adjusted Survival Curves and Cumulative IncidenceFunctions)
 Estimate and plot confounder-adjusted survival curves using either 'Direct
 Adjustment', 'Direct Adjustment with Pseudo-Values', various forms of
 'Inverse Probability of Treatment Weighting', two forms of 'Augmented
 Inverse Probability of Treatment Weighting', 'Empirical Likelihood
 Estimation' or 'Targeted Maximum Likelihood Estimation'.  Also includes a
 significance test for the difference between two adjusted survival curves
 and the calculation of adjusted restricted mean survival times.
 Additionally enables the user to estimate and plot cause-specific
 confounder-adjusted cumulative incidence functions in the competing risks
 setting using the same methods (with some exceptions).  For details, see
 Denz et. al (2023) <doi:10.1002/sim.9681>.

Package: r-cran-adklakedata
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rappdirs, r-cran-httr
Suggests: r-cran-ggplot2, r-cran-maps, r-cran-testthat, r-cran-sf
Filename: pool/dists/focal/main/r-cran-adklakedata_0.6.1-1.ca2004.1_all.deb
Size: 229432
MD5sum: 5a2738f1b0bc52bbd2be4bca208e10e0
SHA1: 34502f8cef31e4d5828da8004c9a83b1172d27b9
SHA256: 988bca28af42b6272fcb98dcef25f7fe24f9764e73b246af96ebb397a45681f9
SHA512: cdaa3976aaf141ad7257a02e2f2d7fe04529cff0344c033537e5eb558b118855f54e4bd0569bc9fd88f1535d8c3322220c291e34f01ac7cc80e51a4d9eddb887
Homepage: https://cran.r-project.org/package=adklakedata
Description: CRAN Package 'adklakedata' (Adirondack Long-Term Lake Data)
 Package for the access and distribution of Long-term lake datasets from
 lakes in the Adirondack Park, northern New York state. Includes a wide
 variety of physical, chemical, and biological parameters from 28 lakes. Data
 are from multiple collection organizations and have been harmonized in both
 time and space for ease of reuse.

Package: r-cran-adlp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1196
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-tidyverse, r-cran-synthetic
Filename: pool/dists/focal/main/r-cran-adlp_0.1.0-1.ca2004.1_all.deb
Size: 523116
MD5sum: b7418fece039e4271f9d06010b3dfe8d
SHA1: 2c26c298abef2a51ac53d12482ab53c8cbaeb50f
SHA256: cbf4e587fc6e3947b3bd41b3f02f0004db61776162f2dd34eae771d614773aea
SHA512: 5276ad1efe3bcf0c408161ed487fc2aa2fff5b639b2690d8b8acddef67dc01cb9700098ff02ac1890345618988d6698f68ca438e7e915e61820ec4bf4c24d059
Homepage: https://cran.r-project.org/package=ADLP
Description: CRAN Package 'ADLP' (Accident and Development Period Adjusted Linear Pools forActuarial Stochastic Reserving)
 Loss reserving generally focuses on identifying a single model that can
 generate superior predictive performance. However, different loss reserving
 models specialise in capturing different aspects of loss data.  This is
 recognised in practice in the sense that results from different models are
 often considered, and sometimes combined. For instance, actuaries may take a
 weighted average of the prediction outcomes from various loss reserving
 models, often based on subjective assessments.  This package allows for the
 use of a systematic framework to objectively combine (i.e. ensemble)
 multiple stochastic loss reserving models such that the strengths offered by
 different models can be utilised effectively. Our framework is developed in
 Avanzi et al. (2023). Firstly, our criteria model combination considers the
 full distributional properties of the ensemble and not just the central
 estimate - which is of particular importance in the reserving context.
 Secondly, our framework is that it is tailored for the features inherent to
 reserving data. These include, for instance, accident, development,
 calendar, and claim maturity effects. Crucially, the relative importance and
 scarcity of data across accident periods renders the problem distinct from
 the traditional ensemble techniques in statistical learning.  Our framework
 is illustrated with a complex synthetic dataset. In the results, the
 optimised ensemble outperforms both (i) traditional model selection
 strategies, and (ii) an equally weighted ensemble. In particular, the
 improvement occurs not only with central estimates but also relevant
 quantiles, such as the 75th percentile of reserves (typically of interest to
 both insurers and regulators).  Reference: Avanzi B, Li Y, Wong B, Xian A
 (2023) "Ensemble distributional forecasting for insurance loss reserving"
 <doi:10.48550/arXiv.2206.08541>.

Package: r-cran-admiral.test
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3615
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-lintr, r-cran-pkgdown, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-usethis, r-cran-covr
Filename: pool/dists/focal/main/r-cran-admiral.test_0.7.0-1.ca2004.1_all.deb
Size: 3099032
MD5sum: 54ffc69ac67fcdec9bb0425861c1d045
SHA1: d15752f070ab6b4157f55570a949511185ac7238
SHA256: 00c1f293b367d9f31cbc6b21b23cfe115fc5ead388f940eca20bc719128c1f0c
SHA512: 71422f1f07ed18d6fcccb1aba35147efa47d1b0d1c770909724da36ed413bbd6267af5bd02b9044f943751eb3bb1617175e78cbd71c75dfc9ff8e8c6adde304e
Homepage: https://cran.r-project.org/package=admiral.test
Description: CRAN Package 'admiral.test' (Test Data for the 'admiral' Package)
 A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data
 Interchange Standards Consortium (CDISC) pilot project used for testing and
 developing Analysis Data Model (ADaM) derivations inside the 'admiral'
 package.

Package: r-cran-admiral
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4486
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-admiraldev, r-cran-cli, r-cran-dplyr, r-cran-hms, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-diffdf, r-cran-dt, r-cran-htmltools, r-cran-knitr, r-cran-pharmaversesdtm, r-cran-reactable, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-admiral_1.3.0-1.ca2004.1_all.deb
Size: 2270668
MD5sum: db2f526ecee02d388589e820e033c977
SHA1: cd6efcf5aec6385dd2e2e72ad0a7e303dd3bf9fa
SHA256: 98901b206b164207d47e318301729725263776948e1ecf08e0b95efd6f91a723
SHA512: 30607b99a8c82e8f6fcdb0a6228d99ec91d9acdfb0c2752f87244880e1c3714cbf14702ae4837280a7e8adb14b0f790b6da2fc896b8eb9eec9ad993c34d9317a
Homepage: https://cran.r-project.org/package=admiral
Description: CRAN Package 'admiral' (ADaM in R Asset Library)
 A toolbox for programming Clinical Data Interchange Standards Consortium
 (CDISC) compliant Analysis Data Model (ADaM) datasets in R.  ADaM datasets
 are a mandatory part of any New Drug or Biologics License Application
 submitted to the United States Food and Drug Administration (FDA). Analysis
 derivations are implemented in accordance with the "Analysis Data Model
 Implementation Guide" (CDISC Analysis Data Model Team, 2021,
 <https://www.cdisc.org/standards/foundational/adam>).

Package: r-cran-admiraldev
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1560
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-roxygen2, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-diffdf, r-cran-dt, r-cran-htmltools, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-admiraldev_1.3.1-1.ca2004.1_all.deb
Size: 1161416
MD5sum: c618795a3afee4fc2bdcc35c75c3b125
SHA1: da747d96422e7a1b4a1685ffe7972b77cb0e772e
SHA256: 010d53fd20c561ebc9bd1d734a9d24e324482dea41a8446c3fa604a90ac0444d
SHA512: d4b380a365948576aef949c8147770c6c36ee076af7eb2d7b68e7073420d046d95708e4064247a6a3bc199f728649a2f3cee0f0746004be84aa17e36709a52dc
Homepage: https://cran.r-project.org/package=admiraldev
Description: CRAN Package 'admiraldev' (Utility Functions and Development Tools for the Admiral PackageFamily)
 Utility functions to check data, variables and conditions for functions used
 in 'admiral' and 'admiral' extension packages.  Additional utility helper
 functions to assist developers with maintaining documentation, testing and
 general upkeep of 'admiral' and 'admiral' extension packages.

Package: r-cran-admiralmetabolic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-admiraldev, r-cran-cli, r-cran-dplyr, r-cran-stringr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-diffdf, r-cran-dt, r-cran-htmltools, r-cran-knitr, r-cran-pharmaversesdtm, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-admiralmetabolic_0.1.0-1.ca2004.1_all.deb
Size: 198840
MD5sum: 58e0f3fc4adaa05c17c8f6b53458fcc5
SHA1: 14bf9f2006bd67b23891f61cf707d90400408aa5
SHA256: c6eeb000e07807a545eec3bd2a84d6afe9d63087487ce56f799caed6a7f2ad72
SHA512: 27c5e567f665ca1df159b20fac7a3a2971c17db56755c7e8d8fbf457b424b349ead3d76754896a081222673adf1bb3043f8f1a7a9c19653265580f82d6d067f9
Homepage: https://cran.r-project.org/package=admiralmetabolic
Description: CRAN Package 'admiralmetabolic' (Metabolism Extension Package for ADaM in 'R' Asset Library)
 A toolbox for programming Clinical Data Standards Interchange Consortium
 (CDISC) compliant Analysis Data Model (ADaM) datasets in R.  ADaM datasets
 are a mandatory part of any New Drug or Biologics License Application
 submitted to the United States Food and Drug Administration (FDA). Analysis
 derivations are implemented in accordance with the "Analysis Data Model
 Implementation Guide" (CDISC Analysis Data Model Team, 2021,
 <https://www.cdisc.org/standards/foundational/adam>).  The package is an
 extension package of the 'admiral' package focusing on the metabolism
 therapeutic area.

Package: r-cran-admiralonco
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-admiraldev, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-pharmaversesdtm, r-cran-pharmaverseadam, r-cran-devtools, r-cran-diffdf, r-cran-lintr, r-cran-pkgdown, r-cran-testthat, r-cran-knitr, r-cran-miniui, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-stringr, r-cran-tibble, r-cran-usethis, r-cran-covr, r-cran-dt, r-cran-metatools, r-cran-cli, r-cran-gt
Filename: pool/dists/focal/main/r-cran-admiralonco_1.2.0-1.ca2004.1_all.deb
Size: 295776
MD5sum: 707b80bbdcc437262c0b25409b7504a6
SHA1: adc196e8f3f440666ec098c3796839f5576df488
SHA256: 341e3926e76482aec61e624317e91fb14fc86fba7383b3e69831317df354b97d
SHA512: 120e314c220ddf957181a0b7aba1a3fbc54dc370ac614fc6048720e30c1bf16e1eb73d5782b1a6e302a77d64513a965f56c5acac9ef9b8e4cb5241116b1edcd7
Homepage: https://cran.r-project.org/package=admiralonco
Description: CRAN Package 'admiralonco' (Oncology Extension Package for ADaM in 'R' Asset Library)
 Programming oncology specific Clinical Data Interchange Standards Consortium
 (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. ADaM datasets
 are a mandatory part of any New Drug or Biologics License Application
 submitted to the United States Food and Drug Administration (FDA). Analysis
 derivations are implemented in accordance with the "Analysis Data Model
 Implementation Guide" (CDISC Analysis Data Model Team (2021),
 <https://www.cdisc.org/standards/foundational/adam>).  The package is an
 extension package of the 'admiral' package.

Package: r-cran-admiralophtha
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 954
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-admiraldev, r-cran-cli, r-cran-dplyr, r-cran-hms, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-devtools, r-cran-diffdf, r-cran-knitr, r-cran-lintr, r-cran-miniui, r-cran-pharmaversesdtm, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-admiralophtha_1.2.0-1.ca2004.1_all.deb
Size: 630132
MD5sum: 954200bafa474f02d04fa739d4f9d957
SHA1: ff6e8763d6ef44258e3a5e12d765348939688912
SHA256: 6f9e116b9df4c6255d3f4d449fdb2caddb75251b8055ac4c6bbe9a2d8250d541
SHA512: 1c1dd0c5f7f4c8942b732f090bc5abe67d167652227d3e888a9c9207721b9c2e1934793aac35e5c7fba696ce4fd7978910f736d6959e6b016db5889007ec78bf
Homepage: https://cran.r-project.org/package=admiralophtha
Description: CRAN Package 'admiralophtha' (ADaM in R Asset Library - Ophthalmology)
 Aids the programming of Clinical Data Standards Interchange Consortium
 (CDISC) compliant Ophthalmology Analysis Data Model (ADaM) datasets in R.
 ADaM datasets are a mandatory part of any New Drug or Biologics License
 Application submitted to the United States Food and Drug Administration
 (FDA). Analysis derivations are implemented in accordance with the "Analysis
 Data Model Implementation Guide" (CDISC Analysis Data Model Team, 2021,
 <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).

Package: r-cran-admiralpeds
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-admiraldev, r-cran-cli, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-pharmaversesdtm, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-admiralpeds_0.2.0-1.ca2004.1_all.deb
Size: 413136
MD5sum: f98c45192de2c7d2f5a6308d1ac816fb
SHA1: f7f0a368658027cb02e5cb1cf8d70ee40b2fb99e
SHA256: 10ac848daa59855a4bd6792e36d07402a6f51213e193666bed2932ba6881b298
SHA512: 969d6447b1774048a79eccb1e5a9eb790dc75adc54e4ba7c49d5dda0ec1167c57cb3e889d925ed6a1db2565ee7c24b604aa122ffe2a17bb298e42989af78d186
Homepage: https://cran.r-project.org/package=admiralpeds
Description: CRAN Package 'admiralpeds' (Pediatrics Extension Package for ADaM in 'R' Asset Library)
 A toolbox for programming Clinical Data Standards Interchange Consortium
 (CDISC) compliant Analysis Data Model (ADaM) datasets in R.  ADaM datasets
 are a mandatory part of any New Drug or Biologics License Application
 submitted to the United States Food and Drug Administration (FDA). Analysis
 derivations are implemented in accordance with the "Analysis Data Model
 Implementation Guide" (CDISC Analysis Data Model Team, 2021,
 <https://www.cdisc.org/standards/foundational/adam>). The package is an
 extension package of the 'admiral' package for pediatric clinical trials.

Package: r-cran-admiralvaccine
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-admiraldev, r-cran-assertthat, r-cran-dplyr, r-cran-hms, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-devtools, r-cran-diffdf, r-cran-dt, r-cran-knitr, r-cran-lintr, r-cran-miniui, r-cran-pharmaversesdtm, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-usethis, r-cran-metatools
Filename: pool/dists/focal/main/r-cran-admiralvaccine_0.4.0-1.ca2004.1_all.deb
Size: 189776
MD5sum: ad1ace6206b36ab53e6b991ffaa70041
SHA1: 1bb5f296533c08e8e1b2d7c57cd85ca79369444a
SHA256: 49530285467064dd3073f922d174a73f420e890151b5ec7ba393ffe1d512b31f
SHA512: ed9cb4be9e7ee14c1002a5be8d67b6800e3952891f810c3f4b1018f9b29195606a22ab861f35775f11cccf5f434579f30c0aa3505be479f619a2c2693965ff5c
Homepage: https://cran.r-project.org/package=admiralvaccine
Description: CRAN Package 'admiralvaccine' (Vaccine Extension Package for ADaM in 'R' Asset Library)
 Programming vaccine specific Clinical Data Interchange Standards Consortium
 (CDISC) compliant Analysis Data Model (ADaM) datasets in 'R'. Flat model is
 followed as per Center for Biologics Evaluation and Research (CBER)
 guidelines for creating vaccine specific domains. ADaM datasets are a
 mandatory part of any New Drug or Biologics License Application submitted to
 the United States Food and Drug Administration (FDA). Analysis derivations
 are implemented in accordance with the "Analysis Data Model Implementation
 Guide" (CDISC Analysis Data Model Team (2021),
 <https://www.cdisc.org/standards/foundational/adam/adamig-v1-3-release-package>).
 The package is an extension package of the 'admiral' package.

Package: r-cran-admixr
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-covr, r-cran-glue, r-cran-testthat, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-admixr_0.9.1-1.ca2004.1_all.deb
Size: 245056
MD5sum: c69699f7a043025467e2c31bd4547b6e
SHA1: b9ee20dc0a035c1d7543dc5ab29b41105987f77b
SHA256: d2947126b7327b6f9b125f36dbc53ce4c3494d5f965a571aa69d146905f95dbb
SHA512: a85c7382217e9a25bc51e05cb842f15b336ec1c52af5094016e06a0b14a87548a1e361a9780c44af420d9c71e18a2e98c3c00d937eb3a5b40347f52eb2c56c7e
Homepage: https://cran.r-project.org/package=admixr
Description: CRAN Package 'admixr' (An Interface for Running 'ADMIXTOOLS' Analyses)
 An interface for performing all stages of 'ADMIXTOOLS' analyses
 (<https://reich.hms.harvard.edu/software>) entirely from R. Wrapper
 functions (D, f4, f3, etc.) completely automate the generation of
 intermediate configuration files, run 'ADMIXTOOLS' programs on the
 command-line, and parse output files to extract values of interest. This
 allows users to focus on the analysis itself instead of worrying about
 low-level technical details.  A set of complementary functions for
 processing and filtering of data in the 'EIGENSTRAT' format is also
 provided.

Package: r-cran-admmdensestsubmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-admmdensestsubmatrix_0.1.0-1.ca2004.1_all.deb
Size: 494208
MD5sum: cb0891fbc5ab8dd156f50af1040fe801
SHA1: ea8a028e52a0935cca7c8210720fe2cd25d49413
SHA256: 1c866b5ba76c141158358dcec614e468d45551193da2c5b3a9cd3111c4a0d35e
SHA512: 03398c33e79251ae291735ae81b384def96a41c98e62e934e735374c000b2bf41ec398104c8c0106727293870f9de9b0062ef2f07b3564c0991099375f0d52c0
Homepage: https://cran.r-project.org/package=admmDensestSubmatrix
Description: CRAN Package 'admmDensestSubmatrix' (Alternating Direction Method of Multipliers to Solve DenseDubmatrix Problem)
 Solves the problem of identifying the densest submatrix in a given or
 sampled binary matrix, Bombina et al. (2019) <arXiv:1904.03272>.

Package: r-cran-admtools
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape
Suggests: r-cran-fossilsim, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-admtools_0.6.0-1.ca2004.1_all.deb
Size: 439976
MD5sum: dff0990a1786f7b2156bf54ab07ea192
SHA1: d73d56fd765c439e218fe68aee65e3a69ff2521b
SHA256: bc2aaa01f8ba0238860459c5d6daaf90f8cdcdaea59e3af0f646f20ea3a774b7
SHA512: 531ea83fde1e9e7a3af3187919806a4d68e778d130e86b89110a40dbbda986af140fd4f0564c48ec93e97b31a92641c15ed0d9f461b5174af1b58804d22c07f5
Homepage: https://cran.r-project.org/package=admtools
Description: CRAN Package 'admtools' (Estimate and Manipulate Age-Depth Models)
 Estimate age-depth models from stratigraphic and sedimentological data, and
 transform data between the time and stratigraphic domain.

Package: r-cran-admur
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mathjaxr, r-cran-scales, r-cran-zoo
Suggests: r-cran-deoptimr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-admur_1.0.3-1.ca2004.1_all.deb
Size: 1812796
MD5sum: c5bce80b9424e0b6d68687fa36f692fc
SHA1: 3161f10e503f08f3e594b88f7221401d6aaffa3f
SHA256: f7ed4b03d28370f6e50954ce9617e1257259323bae5d42efc562c1b8af112baa
SHA512: 8d75e70019f6909559eac1889ab4a62140bf31c974b9b3422286d77ce89b61598f28474dd9024c10495d84cf85a235e90b2008faf76ef67b97458918b11cffd5
Homepage: https://cran.r-project.org/package=ADMUR
Description: CRAN Package 'ADMUR' (Ancient Demographic Modelling Using Radiocarbon)
 Provides tools to directly model underlying population dynamics using date
 datasets (radiocarbon and other) with a Continuous Piecewise Linear (CPL)
 model framework. Various other model types included. Taphonomic loss
 included optionally as a power function. Model comparison framework using
 BIC. Package also calibrates 14C samples, generates Summed Probability
 Distributions (SPD), and performs SPD simulation analysis to generate a
 Goodness-of-fit test for the best selected model. Details about the method
 can be found in Timpson A., Barberena R., Thomas M. G., Mendez C., Manning
 K. (2020) <doi:10.1098/rstb.2019.0723>.

Package: r-cran-adnuts
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1036
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall, r-cran-ellipse, r-cran-rstan, r-cran-r2admb, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-shinystan, r-cran-matrixcalc, r-cran-knitr, r-cran-tmb, r-cran-rmarkdown, r-cran-withr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adnuts_1.1.2-1.ca2004.1_all.deb
Size: 778276
MD5sum: eb29863666a753f6844f456b463dfc0a
SHA1: d0e876d075e4dcaad75341bfb981328a44f762ed
SHA256: cd36971a5bd3885829b9c60b45d07ae9e910f1bac9fa17067651d5841a1a845d
SHA512: bdf54d4e606378487813d7673e7dbee4ced92c6e0832f93af38fc5ddda1c2b999acc5047699b4bea486ff6c6561743edefb02402c12738d6448a4476531e3350
Homepage: https://cran.r-project.org/package=adnuts
Description: CRAN Package 'adnuts' (No-U-Turn MCMC Sampling for 'ADMB' Models)
 Bayesian inference using the no-U-turn (NUTS) algorithm by Hoffman and
 Gelman (2014) <https://www.jmlr.org/papers/v15/hoffman14a.html>.  Designed
 for 'AD Model Builder' ('ADMB') models, or when R functions for log-density
 and log-density gradient are available, such as 'Template Model Builder'
 models and other special cases. Functionality is similar to 'Stan', and the
 'rstan' and 'shinystan' packages are used for diagnostics and inference.

Package: r-cran-adobeanalyticsr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1506
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-jsonlite, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-httr, r-cran-tidyr, r-cran-rlang, r-cran-lubridate, r-cran-ggplot2, r-cran-scales, r-cran-r6, r-cran-jose, r-cran-openssl, r-cran-lifecycle, r-cran-glue, r-cran-vctrs, r-cran-progress, r-cran-memoise, r-cran-httr2
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adobeanalyticsr_0.5.0-1.ca2004.1_all.deb
Size: 1227480
MD5sum: 3f153e40ea7df88dbe7aced0053ca77f
SHA1: 0f7e5929ff0982a201d3f23bc6c2903d9b28fb8a
SHA256: 264f62c7d1d425266ba9fa21eb4ee1229e38a9537d4925125c088e974d013f06
SHA512: 43a0495d14a1b0af41b8ecc5dfdda8de73a98f8f3160d1a96324393787a0991d89e5d0a027d6ac195ef5473bdec244b3af09ee947dfd431568cfb64304d5adfc
Homepage: https://cran.r-project.org/package=adobeanalyticsr
Description: CRAN Package 'adobeanalyticsr' (R Client for 'Adobe Analytics' API 2.0)
 Connect to the 'Adobe Analytics' API v2.0
 <https://github.com/AdobeDocs/analytics-2.0-apis> which powers 'Analysis
 Workspace'. The package was developed with the analyst in mind, and it will
 continue to be developed with the guiding principles of iterative,
 repeatable, timely analysis.

Package: r-cran-adoptr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1742
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nloptr, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-rpact, r-cran-vdiffr, r-cran-pwr, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-gridextra, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-adoptr_1.1.1-1.ca2004.1_all.deb
Size: 822268
MD5sum: fd4acba9da21b648f229207aae1a10a5
SHA1: 73f8c41db255163cb4279b55f719c340a78dcee1
SHA256: 4492bc0fd14670969f7aba707c72a41ef9fc583ec5f0fd8ecd58b22cac3c8dbd
SHA512: 994cddbea686cbbcdde14ee20be6105a6e1eb178e0a2eb0d1e8c9867d4a5851cdd05fa373a6726ae0bb7cc42b6b8f10ce143868c2fda6cab1a86e9001642d4be
Homepage: https://cran.r-project.org/package=adoptr
Description: CRAN Package 'adoptr' (Adaptive Optimal Two-Stage Designs)
 Optimize one or two-arm, two-stage designs for clinical trials with respect
 to several implemented objective criteria or custom objectives.
 Optimization under uncertainty and conditional (given stage-one outcome)
 constraints are supported.  See Pilz et al. (2019) <doi:10.1002/sim.8291>
 and Kunzmann et al. (2021) <doi:10.18637/jss.v098.i09> for details.

Package: r-cran-adp
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-adp_0.1.6-1.ca2004.1_all.deb
Size: 24280
MD5sum: 364a63a0bcfc008575caa37197c92fd1
SHA1: d1374ab1525dc8878278f2513865a8993744118a
SHA256: b5164e6eb8163ca43920b84129b70fcecd719c6c5a85109b017cf81e4ff55c3a
SHA512: e0fdbb9905a4c9ce105ae21a6eeb1cd9ac06279204653996b68671ea5e5965a35f7635cbab5dd8890a394c6c1bf4fb50b71bcfb66fab33c6cef5e780ac1db375
Homepage: https://cran.r-project.org/package=ADP
Description: CRAN Package 'ADP' (Adoption Probability, Triers and Users Rate of a New Product)
 Calculate users prevalence of a product based on the prevalence of triers in
 the population. The measurement of triers is relatively easy. It is just a
 question of whether a person tried a product even once in his life or not.
 On the other hand, The measurement of people who also adopt it as part of
 their life is more complicated since adopting an innovative product is a
 subjective view of the individual. Mickey Kislev and Shira Kislev developed
 a formula to calculate the prevalence of a product's users to overcome this
 difficulty. The current package assists in calculating the users prevalence
 of a product based on the prevalence of triers in the population. See for:
 Kislev, M. M., and S. Kislev (2020) <doi:10.5539/ijms.v12n4p63>.

Package: r-cran-adpclust
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1571
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-cluster, r-cran-fields, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adpclust_0.7-1.ca2004.1_all.deb
Size: 1153620
MD5sum: ba5a1a45c45d9ae2e3b3f5c252f11fe4
SHA1: 7268ebc31f2ca4aa931d6abc383fff36079de488
SHA256: cdfc0f66bb29bcdd6a6f306feda62c459366bee5cc5db930354f2860e3170c62
SHA512: fa24bff9e08fccc8ab07b7dc63ee9216be9931f8b771d4a028dac73b7d78bc3fdd85f33a107c24b0e9d0f97e64c4c30732dda7650094a8fd57e9b952bee8d241
Homepage: https://cran.r-project.org/package=ADPclust
Description: CRAN Package 'ADPclust' (Fast Clustering Using Adaptive Density Peak Detection)
 An implementation of ADPclust clustering procedures (Fast Clustering Using
 Adaptive Density Peak Detection). The work is built and improved upon the
 idea of Rodriguez and Laio (2014)<DOI:10.1126/science.1242072>.  ADPclust
 clusters data by finding density peaks in a density-distance plot generated
 from local multivariate Gaussian density estimation. It includes an
 automatic centroids selection and parameter optimization algorithm, which
 finds the number of clusters and cluster centroids by comparing average
 silhouettes on a grid of testing clustering results; It also includes a user
 interactive algorithm that allows the user to manually selects cluster
 centroids from a two dimensional "density-distance plot". Here is the
 research article associated with this package: "Wang, Xiao-Feng, and Yifan
 Xu (2015)<DOI:10.1177/0962280215609948> Fast clustering using adaptive
 density peak detection." Statistical methods in medical research". url:
 http://smm.sagepub.com/content/early/2015/10/15/0962280215609948.abstract.

Package: r-cran-adpf
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-adpf_0.0.1-1.ca2004.1_all.deb
Size: 37092
MD5sum: 767baf76c343ec3481067917cac5835a
SHA1: a1e9cf2b31028d6b14c3fc191fa6e7d138d5b1ad
SHA256: b86535435c27e42e12f76f08b515a85b1850909c3807bc20999f6c5a4f17fe70
SHA512: 5e3d34588a55da4baeb68380c9db291baad0421fa6e18ff5bc7df73429ad5a658870f16ee05a7611b9361fbb36256e2564eb16a5b917f75f4b7ab8a2a494fb4c
Homepage: https://cran.r-project.org/package=ADPF
Description: CRAN Package 'ADPF' (Use Least Squares Polynomial Regression and Statistical Testingto Improve Savitzky-Golay)
 This function takes a vector or matrix of data and smooths the data with an
 improved Savitzky Golay transform. The Savitzky-Golay method for data
 smoothing and differentiation calculates convolution weights using Gram
 polynomials that exactly reproduce the results of least-squares polynomial
 regression. Use of the Savitzky-Golay method requires specification of both
 filter length and polynomial degree to calculate convolution weights. For
 maximum smoothing of statistical noise in data, polynomials with low degrees
 are desirable, while a high polynomial degree is necessary for accurate
 reproduction of peaks in the data.  Extension of the least-squares
 regression formalism with statistical testing of additional terms of
 polynomial degree to a heuristically chosen minimum for each data window
 leads to an adaptive-degree polynomial filter (ADPF). Based on noise
 reduction for data that consist of pure noise and on signal reproduction for
 data that is purely signal, ADPF performed nearly as well as the optimally
 chosen fixed-degree Savitzky-Golay filter and outperformed sub-optimally
 chosen Savitzky-Golay filters. For synthetic data consisting of noise and
 signal, ADPF outperformed both optimally chosen and sub-optimally chosen
 fixed-degree Savitzky-Golay filters. See Barak, P. (1995)
 <doi:10.1021/ac00113a006> for more information.

Package: r-cran-adplots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adplots_0.1.0-1.ca2004.1_all.deb
Size: 68544
MD5sum: 0923877a1b51d1bdd3b1be6e2360f5de
SHA1: f6f2ca562790a9109dd62d84451bb58efbf9de8a
SHA256: 118bf042df400204934d60c23897c59f078084984f549ffc457a9f3fdc4aebef
SHA512: dbcbab15d4a0853d35c44323c8bc53af84985d889ffbda59143c290604991d01189686fca4f559fa4cfaa6ebaa3665a7dccb6db8b7d305dba71996d72ede2f1f
Homepage: https://cran.r-project.org/package=adplots
Description: CRAN Package 'adplots' (Ad-Plot and Ud-Plot for Visualizing Distributional Propertiesand Normality)
 The empirical cumulative average deviation function introduced by the author
 is utilized to develop both Ad- and Ud-plots. The Ad-plot can identify
 symmetry, skewness, and outliers of the data distribution, including
 anomalies. The Ud-plot created by slightly modifying Ad-plot is exceptional
 in assessing normality, outperforming normal QQ-plot, normal PP-plot, and
 their derivations. The d-value that quantifies the degree of proximity
 between the Ud-plot and the graph of the estimated normal density function
 helps guide to make decisions on confirmation of normality. Full description
 of this methodology can be found in the article by Wijesuriya (2025)
 <doi:10.1080/03610926.2024.2440583>.

Package: r-cran-adproclus
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-corrplot, r-cran-ggplot2, r-cran-ggrepel, r-cran-gtools, r-cran-igraph, r-cran-matrixstats, r-cran-multichull, r-cran-nmfn, r-cran-qgraph, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-tidyr, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adproclus_2.0.0-1.ca2004.1_all.deb
Size: 179880
MD5sum: 47414a9719d8e00e550540948af808bb
SHA1: 344fa2bd86259df2f207a32a4881686f696085ee
SHA256: 0cdd8755c2d8def1cfe25fe7d37f8d945186b23fcba4672b6e1ce88cf1b96ea1
SHA512: e39168756e25b2eb930cdd44b01c0ecf1dd59d8cc15d712c912544f1b93c146a9a2d8b59d966a73db7f0bc716034f77ca9bc0f9497389b80090231ad2fc0a995
Homepage: https://cran.r-project.org/package=adproclus
Description: CRAN Package 'adproclus' (Additive Profile Clustering Algorithms)
 Obtain overlapping clustering models for object-by-variable data matrices
 using the Additive Profile Clustering (ADPROCLUS) method.  Also contains the
 low dimensional ADPROCLUS method for simultaneous dimension reduction and
 overlapping clustering.  For reference see Depril, Van Mechelen, Mirkin
 (2008) <doi:10.1016/j.csda.2008.04.014> and Depril, Van Mechelen, Wilderjans
 (2012) <doi:10.1007/s00357-012-9112-5>.

Package: r-cran-adsdatahubr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-adsdatahubr_0.1.1-1.ca2004.1_all.deb
Size: 28204
MD5sum: 12fca527ec2a85dd8dd9ed49a016ac6f
SHA1: 061f530835d77db084c284de42bf32d173498e04
SHA256: c6a98176dcd344ceda55006d1a71776e44f4dd34234eb312fc709c5413341276
SHA512: 9170bb3a70739ed1bdc7b48a87217e5830fd556c37cb806cf8b95e775a358b33bfd17bcd3bbd523a5a13604c58fb5153ff468904a883c16b59d7a44383e4c11c
Homepage: https://cran.r-project.org/package=adsDataHubR
Description: CRAN Package 'adsDataHubR' (Google Ads Data Hub API Client)
 Interact with Google Ads Data Hub API
 <https://developers.google.com/ads-data-hub/reference/rest>. The
 functionality allows to fetch customer details, submit queries to ADH.

Package: r-cran-adsorpr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adsorpr_0.1.0-1.ca2004.1_all.deb
Size: 215516
MD5sum: 659405eb613be4a39c14d3ee6a83c177
SHA1: 1c69d6099a065f4909b5afc70898f3262b30577f
SHA256: 60dd2d04cc8d4b5e8ed5ccb382f19c9c78fdf0086016b13a9fd68d3968c23de1
SHA512: 1ddce6e6f8bc1708931efbb41485f32a2b6bc237266aea16c066fa714ef4e868e1322ba6e7ae47193fa1dc7348dc0be38d07bc370c992bc1d5903c7b48a32730
Homepage: https://cran.r-project.org/package=AdsorpR
Description: CRAN Package 'AdsorpR' (Adsorption Isotherm Models)
 Model adsorption behavior using classical isotherms, including Langmuir,
 Freundlich, Brunauer–Emmett–Teller (BET), and Temkin models. The package
 supports parameter estimation through both linearized and non-linear fitting
 techniques and generates high-quality plots for model diagnostics. It is
 intended for environmental scientists, chemists, and researchers working on
 adsorption phenomena in soils, water treatment, and material sciences.
 Functions are compatible with base 'R' and 'ggplot2' for visualization.

Package: r-cran-adsorptioncmf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nls2, r-cran-metrics, r-cran-ggplot2, r-cran-boot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adsorptioncmf_0.1.1-1.ca2004.1_all.deb
Size: 105332
MD5sum: b4700a2cc36473e1a002c98ae3a9c249
SHA1: 6134e24a8859e6c8a485e7f4242a4334e6c213ce
SHA256: ec50bedf8467d1ca2a8f9733ad95b1514ba36aa8370933f3a3d5667731fc97e4
SHA512: e2de5f55616e58b871e6b6ad0103617568664001c2e76eb3ffea870c7cffbc2f1afc5c1136e62c3a08d7dc6b62c2d8c3d4d6a59a094b4ffee0ba007cad9337e1
Homepage: https://cran.r-project.org/package=adsoRptionCMF
Description: CRAN Package 'adsoRptionCMF' (Classical Model Fitting of Adsorption Isotherms)
 Provides tools for classical parameter estimation of adsorption isotherm
 models, including both linear and nonlinear forms of the Freundlich,
 Langmuir, and Temkin isotherms. This package allows users to fit these
 models to experimental data, providing parameter estimates along with fit
 statistics such as Akaike Information Criterion (AIC) and Bayesian
 Information Criterion (BIC). Error metrics are computed to evaluate model
 performance, and the package produces model fit plots with bootstrapped 95%
 confidence intervals. Additionally, it generates residual plots for
 diagnostic assessment of the models.  Researchers and engineers in material
 science, environmental engineering, and chemical engineering can rigorously
 analyze adsorption behavior in their systems using this straightforward,
 non-Bayesian approach.  For more details, see Harding (1907)
 <doi:10.2307/2987516>.

Package: r-cran-adsorptioncv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nls2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adsorptioncv_0.1.0-1.ca2004.1_all.deb
Size: 68884
MD5sum: 0faf025c949a4b468a6331e47d0ca9bd
SHA1: c1145bde4e90f4ffd0251b548cb8b1c47bf1c35f
SHA256: 7cd22af78744ad95aedc8dcab9b4d965c6b5e4d5a612755d452238acd64b87b0
SHA512: 442a422a3cc0997598885361ecb9a1c7ecbe120bd551a7988ba3b3d0157223e2f95493e77404851680f1a75df9d425fcad9b5461e1fb7b70dc87398fe4fd6bdd
Homepage: https://cran.r-project.org/package=adsoRptionCV
Description: CRAN Package 'adsoRptionCV' (Cross-Validation Methods for Adsorption Isotherm Models)
 Provides cross-validation tools for adsorption isotherm models, supporting
 both linear and non-linear forms.  Current methods cover commonly used
 isotherms including the Freundlich, Langmuir, and Temkin models.  This
 package implements K-fold and leave-one-out cross-validation (LOOCV) with
 optional clustering-based fold assignment to preserve underlying data
 structures during validation. Model predictive performance is assessed using
 mean squared error (MSE), with optional graphical visualization of fold-wise
 MSEs to support intuitive evaluation of model accuracy.  This package is
 intended to facilitate rigorous model validation in adsorption studies and
 aid researchers in selecting robust isotherm models.  For more details, see
 Montgomery et al. (2012) <isbn: 978-0-470-54281-1>, Lumumba et al. (2024)
 <doi:10.11648/j.ajtas.20241305.13>, and Yates et al. (2022)
 <doi:10.1002/ecm.1557>.

Package: r-cran-adsorptionmcmc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mcmcpack, r-cran-coda
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adsorptionmcmc_0.1.0-1.ca2004.1_all.deb
Size: 85728
MD5sum: b91750ef7cacf156913cee35ec1be97e
SHA1: 580737c89ebf1027f71d4436c1574a09d948c702
SHA256: f35e2e76e6e8751e4caebd2202b9a5dab0eec79991aa0d5258cb561704cf8f0e
SHA512: 90e04483afd7134bba0b9595e6d7029d00f451afdab8562de6cbe467a8582a56eb9ca61324db10cbe9ac1a5c7ff25db5ca7d5caa750eff54874bed836fe3b544
Homepage: https://cran.r-project.org/package=adsoRptionMCMC
Description: CRAN Package 'adsoRptionMCMC' (Bayesian Estimation of Adsorption Isotherms via MCMC)
 Provides tools for Bayesian parameter estimation of adsorption isotherm
 models using Markov Chain Monte Carlo (MCMC) methods.  This package enables
 users to fit non-linear and linear adsorption isotherm models—Freundlich,
 Langmuir, and Temkin—within a probabilistic framework, capturing uncertainty
 and parameter correlations. It provides posterior summaries, 95% credible
 intervals, convergence diagnostics (Gelman-Rubin), and visualizations
 through trace and density plots. With this R package, researchers can
 rigorously analyze adsorption behavior in environmental and chemical systems
 using robust Bayesian inference. For more details, see Gilks et al. (1995)
 <doi:10.1201/b14835>, and Gamerman & Lopes (2006)
 <doi:10.1201/9781482296426>.

Package: r-cran-adtsa
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-adtsa_1.0.1-1.ca2004.1_all.deb
Size: 54272
MD5sum: 19874c82ea5a4c98748d921ff8de3148
SHA1: 85f6098414f6f5428e7989d492cf87807c4f2484
SHA256: de02ed1a1e33ff61cdb4d0a5f6f90a2a2a17ad49f912ac25cfa3012d76c0e942
SHA512: b045ee281613423bb014587098090af4f0bc55ac3cdece8b778c8551f7fde9ff1b6c5902da8216a8c440ba5c6c2fc420623d0356dca5886ea565a36feb10a63c
Homepage: https://cran.r-project.org/package=ADTSA
Description: CRAN Package 'ADTSA' (Time Series Analysis)
 Analyzes autocorrelation and partial autocorrelation using surrogate methods
 and bootstrapping, and computes the acceleration constants for the
 vectorized moving block bootstrap provided by this package. It generates
 percentile, bias-corrected, and accelerated intervals and estimates partial
 autocorrelations using Durbin-Levinson. This package calculates the
 autocorrelation power spectrum, computes cross-correlations between two time
 series, computes bandwidth for any time series, and performs autocorrelation
 frequency analysis. It also calculates the periodicity of a time series.

Package: r-cran-advancedbasketballstats
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1039
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-advancedbasketballstats_1.0.1-1.ca2004.1_all.deb
Size: 406236
MD5sum: bc82218472b31755b8d612851984d79f
SHA1: 251760d6b30cbf61d85ea0e85fbf0cd48fcd0785
SHA256: 43489bcc8576da02b4820b718bff2ae7ed0ae8a7a7847f4c98d80d8da99b7144
SHA512: ff278b8e2f0b035bc96be94287995015c6f38dea66c891b9189f9466c006a151ac5ac76e2ae831445d3d5aee081ecdf994d64c5bde052ddfbffee61a986a83b4
Homepage: https://cran.r-project.org/package=AdvancedBasketballStats
Description: CRAN Package 'AdvancedBasketballStats' (Advanced Basketball Statistics)
 Provides different functionalities and calculations used in the world of
 basketball to analyze the statistics of the players, the statistics of the
 teams, the statistics of the quintets and the statistics of the plays. For
 more details of the calculations included in the package can be found in the
 book Basketball on Paper written by Dean Oliver.

Package: r-cran-advbinomapps
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genbinomapps, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-advbinomapps_1.0-1.ca2004.1_all.deb
Size: 108244
MD5sum: 9b5109f4a74618dfe435640a310e0e76
SHA1: c75804c838d69ebfe0576acea2d83aecb9206344
SHA256: 1ac36af4dc393ffe4764ce6618bc21758284d36e8077dbcb03bd0a9804fb7bd5
SHA512: 4017303b29c520d17b80f78077e5a3aeb5c6d66130d81b21d9e59c97290cc04877ce5ed13692b06de197862538e525c921793c34ae45fae656b2d01e1e9d88ea
Homepage: https://cran.r-project.org/package=AdvBinomApps
Description: CRAN Package 'AdvBinomApps' (Upper Clopper-Pearson Confidence Limits for Burn-in Studiesunder Additional Available Information)
 Functions to compute upper Clopper-Pearson confidence limits of early life
 failure probabilities and required sample sizes of burn-in studies under
 further available information, e.g. from other products or technologies.

Package: r-cran-advclust
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-mass, r-cran-clue, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-advclust_0.4-1.ca2004.1_all.deb
Size: 301068
MD5sum: ab12ded3e44ad450641eaf9fec426b44
SHA1: 1a9d6187c0c26cb6d4f1ca64e66bc672c5ad5b3a
SHA256: 4f068251a7ad5f222530fefbf89d13fe375c1f3896cfa07c1e60c46db8e63318
SHA512: d377779bd0114ad1c33242b1fe89b2e3252e03a9cb98e55bc18dfe29d191f97e305ec9bcb0b18ccf15b389039a29541025a5f2730008ac22e9ea5493b17a335f
Homepage: https://cran.r-project.org/package=advclust
Description: CRAN Package 'advclust' (Object Oriented Advanced Clustering)
 S4 Object Oriented for Advanced Fuzzy Clustering and Fuzzy COnsensus
 Clustering. Techniques that provided by this package are Fuzzy C-Means,
 Gustafson Kessel (Babuska Version), Gath-Geva, Sum Voting Consensus, Product
 Voting Consensus, and Borda Voting Consensus. This package also provide
 visualization via Biplot and Radar Plot.

Package: r-cran-advdif4
Architecture: all
Version: 0.7.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-advdif4_0.7.18-1.ca2004.1_all.deb
Size: 29336
MD5sum: 065986d492a7484215f6b45b3a3ad838
SHA1: f7b6f1088ab05080d26cc0726c70dd0a499c26ac
SHA256: 356e28de4484fbca7922182605477d729f74320e09b36314cfbf17bb72b2776c
SHA512: 2f8716a153d2fd0f015a54252e14625a12b35e630d385db2b548a39d8bcef5d06274ad3d3a6a079a73bddc45069c2fa6f08f9b665ce9a45ebbab8a7282958780
Homepage: https://cran.r-project.org/package=AdvDif4
Description: CRAN Package 'AdvDif4' (Solving 1D Advection Bi-Flux Diffusion Equation)
 This software solves an Advection Bi-Flux Diffusive Problem using the Finite
 Difference Method FDM. Vasconcellos, J.F.V., Marinho, G.M., Zanni, J.H.,
 2016, Numerical analysis of an anomalous diffusion with a bimodal flux
 distribution. <doi:10.1016/j.rimni.2016.05.001>. Silva, L.G., Knupp, D.C.,
 Bevilacqua, L., Galeao, A.C.N.R., Silva Neto, A.J., 2014, Formulation and
 solution of an Inverse Anomalous Diffusion Problem with Stochastic
 Techniques. <doi:10.5902/2179460X13184>. In this version, it is possible to
 include a source as a function depending on space and time, that is, s(x,t).

Package: r-cran-adventr
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5657
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnr, r-cran-bayesfactor, r-cran-boot, r-cran-dplyr, r-cran-car, r-cran-effsize, r-cran-effects, r-cran-forcats, r-cran-ggally, r-cran-ggplot2, r-cran-hmisc, r-cran-lm.beta, r-cran-nlme, r-cran-readr, r-cran-robust, r-cran-sandwich, r-cran-sjstats, r-cran-tidyr, r-cran-wrs2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adventr_0.1.8-1.ca2004.1_all.deb
Size: 2372648
MD5sum: 95b0b37159203a043c2624151ddbdf25
SHA1: 7f23b6312ba88ed043d580cee8187f9efc783bd6
SHA256: c74f7a6919bb0b72c862598ac45470c5293cb65dbb89682aa6c6a1ade631fdec
SHA512: fcff443fcffe2bf165f037a53abf96cafe1fd946224d865f813c9db99286c7c40c6158896cf7b56f0cc587dc4863f3c854bdb9b60f4ef8e66e19734d329a3e13
Homepage: https://cran.r-project.org/package=adventr
Description: CRAN Package 'adventr' (Interactive R Tutorials to Accompany Field (2016), "An Adventurein Statistics")
 Interactive 'R' tutorials written using 'learnr' for Field (2016), "An
 Adventure in Statistics", <ISBN:9781446210451>.  Topics include general
 workflow in 'R' and 'Rstudio', the 'R' environment and 'tidyverse',
 summarizing data, model fitting, central tendency, visualising data using
 'ggplot2', inferential statistics and robust estimation, hypothesis testing,
 the general linear model, comparing means, repeated measures designs,
 factorial designs, multilevel models, growth models, and generalized linear
 models (logistic regression).

Package: r-cran-adverbial
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-lifecycle, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-adverbial_0.2.0-1.ca2004.1_all.deb
Size: 40952
MD5sum: 4b62f6da1cf1412b6e5b425657363808
SHA1: bb0e7966fb6dfdfa836cbee9ab57284b5be96709
SHA256: 82c7600989372ad1995dc316b2aef1a884628701f18fb4af8b9c21ab26842673
SHA512: 75cfde54501808021a2ad5084272c96d7ed3de7cf701ede839da5093aad8eec4a2f96babbbea634c97e74a0e34a318ff8613a0d520687a525d18f999c59a1a31
Homepage: https://cran.r-project.org/package=adverbial
Description: CRAN Package 'adverbial' (Enhanced Adverbial Functions)
 Provides new_partialised() and new_composed(), which extend partial() and
 compose() functions of 'purrr' to make it easier to extract and replace
 arguments and functions. It also has additional adverbial functions.

Package: r-cran-adverseevents
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-tidyverse, r-cran-rio, r-cran-janitor, r-cran-dt, r-cran-skimr, r-cran-ggpubr, r-cran-ggnewscale, r-cran-survival, r-cran-survminer, r-cran-ggplot2, r-cran-shinythemes, r-cran-ggrepel, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-adverseevents_0.0.4-1.ca2004.1_all.deb
Size: 1699624
MD5sum: 539ce309b14660c8462fc95435edff80
SHA1: d18a5355bba1e1e07025b7ab8127884bfd36d727
SHA256: 9e0df3d273046b3ee61d68c8db299bfa3ba862e6ca2a4c42a6440e7947b33475
SHA512: 74a6db52c6e9f4458c3faedef4709e7a101bd477a9dbbae522a33201ae6791118e42f692d9147b58fb78eb4e112d0729491e7d1081871c2d86391549fe8bd9f9
Homepage: https://cran.r-project.org/package=AdverseEvents
Description: CRAN Package 'AdverseEvents' ('shiny' Application for Adverse Event Analysis of 'OnCore' Data)
 An application for analysis of Adverse Events, as described in Chen, et al.,
 (2023) <doi:10.3390/cancers15092521>.  The required data for the application
 includes demographics, follow up, adverse event, drug administration and
 optional tumor measurement data.  The app can produce swimmers plots of
 adverse events, Kaplan-Meier plots and Cox Proportional Hazards model
 results for the association of adverse event biomarkers and overall survival
 and progression free survival.  The adverse event biomarkers include
 occurrence of grade 3, low grade (1-2), and treatment related adverse
 events.  Plots and tables of results are downloadable.

Package: r-cran-advice
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-advice_1.0-1.ca2004.1_all.deb
Size: 42856
MD5sum: fd885ee01dddeec9a7a032938e3cd3f8
SHA1: af77cbde95eb080d0c81a4d54b48f522ab09c4b6
SHA256: 3706d4d3e331ddfa495cf273f1d927c00c061902d7a697001b10e21686a6fd8f
SHA512: a7cccdd1fb0e6dd3d90e16681237635de63856363ce91a880df26ef12c8f0ce53db21e781f26d0fa295567c47f45697423592cbc3cf0e9b98687c3ef6414702c
Homepage: https://cran.r-project.org/package=ADVICE
Description: CRAN Package 'ADVICE' (Automatic Direct Variable Selection via Interrupted CoefficientEstimation)
 Accurate point and interval estimation methods for multiple linear
 regression coefficients, under classical normal and independent error
 assumptions, taking into account variable selection.

Package: r-cran-adw
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-cnmap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-adw_0.4.0-1.ca2004.1_all.deb
Size: 383660
MD5sum: a5e2e6a321c1d901307e80be8265dbcf
SHA1: 97fdc1ddfa62c6778b30f7d344f634f586ba2de5
SHA256: b563bb4754a8928a7314106b5564776d8262398bf9a4a0f9040b683342e994a3
SHA512: fe7491ef5e9c312dde4bab3c5283cd11faa9969be1ba831032ec3d7d39d86548e7faf9b4a6f3779b4a61a19d7d8b88e16dad4ca5ae31add8235fdd48bfdae7d2
Homepage: https://cran.r-project.org/package=adw
Description: CRAN Package 'adw' (Angular Distance Weighting Interpolation)
 The irregularly-spaced data are interpolated onto regular latitude-longitude
 grids by weighting each station according to its distance and angle from the
 center of a search radius. In addition to this, we also provide a simple way
 (Jones and Hulme, 1996) to grid the irregularly-spaced data points onto
 regular latitude-longitude grids by averaging all stations in grid-boxes.

Package: r-cran-adwave
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-waveslim
Filename: pool/dists/focal/main/r-cran-adwave_1.4-1.ca2004.1_all.deb
Size: 155080
MD5sum: 2db5b5e04a02a744f86cece3cd0e7ecb
SHA1: dde8071546fec8be8cef2ed9c3394ffd3dbf58e4
SHA256: 6ca7c904ba3030bb79426440d9c2586cc73e5561d04d100a1288e935fe6f41b9
SHA512: 4e4e42e9f40404d19863cee6d1f7ecf00f45758e2f7ec29a90da11f5d290d0c1579a2108ef8631932ce2cd29bbea8e0d547b23fc8edd0f322233ad671f3332f7
Homepage: https://cran.r-project.org/package=adwave
Description: CRAN Package 'adwave' (Wavelet Analysis of Genomic Data from Admixed Populations)
 Implements wavelet-based approaches for describing population admixture.
 Principal Components Analysis (PCA) is used to define the population
 structure and produce a localized admixture signal for each individual.
 Wavelet summaries of the PCA output describe variation present in the data
 and can be related to population-level demographic processes. For more
 details, see J Sanderson, H Sudoyo, TM Karafet, MF Hammer and MP Cox. 2015.
 Reconstructing past admixture processes from local genomic ancestry using
 wavelet transformation. Genetics 200:469-481
 <doi:10.1534/genetics.115.176842>.

Package: r-cran-adwordsr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-adwordsr_0.3.1-1.ca2004.1_all.deb
Size: 98044
MD5sum: 596efd730ad53147214614a7aa3f6700
SHA1: e7d9734c60013ac7d1dca1afd5c531cf2c0ef7d5
SHA256: c64351dde1f32cc1b8ffb5080caccf0ff70e8c82e93c7f7ef57d9c2a9ecc7a59
SHA512: 9340ebebd82e5f52f7ba8ebf2e10337a5aff6f9c24b43a8669d84a87a85afa31e2f952de59be1b8ad93ac86b7b9d262346e2dab58ee5302e85d9f5dff2a61342
Homepage: https://cran.r-project.org/package=adwordsR
Description: CRAN Package 'adwordsR' (Access the 'Google Adwords' API)
 Allows access to selected services that are part of the 'Google Adwords' API
 <https://developers.google.com/adwords/api/docs/guides/start>.  'Google
 Adwords' is an online advertising service by 'Google', that delivers Ads to
 users. This package offers a authentication process using 'OAUTH2'.
 Currently, there are two methods of data of accessing the API, depending on
 the type of request. One method uses 'SOAP' requests which require building
 an 'XML' structure and then sent to the API. These are used for the
 'ManagedCustomerService' and the 'TargetingIdeaService'. The second method
 is by building 'AWQL' queries for the reporting side of the 'Google Adwords'
 API.

Package: r-cran-aebdata
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-readr, r-cran-rvest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aebdata_0.1.4-1.ca2004.1_all.deb
Size: 32744
MD5sum: 2d1b0e7e6001d4a890cf76b941a44dfa
SHA1: 22135869007f0d8143d1b3a1eb18dd1d448bded8
SHA256: d4409ac72d315c087135d1f8ddfa6fdd88a1a9db4e4ffa52060b4abd0a1b9502
SHA512: 268cb7dcc65875d2bbe0c0df78af88754ddbb90b2bb5cd4e6738a1b049fcb5bacf07d024dc8c3a5b33c97efd46068e26c487d660662806432b0715579aaeb90e
Homepage: https://cran.r-project.org/package=aebdata
Description: CRAN Package 'aebdata' (Access Data from the Atlas do Estado Brasileiro)
 Facilitates access to the data from the Atlas do Estado Brasileiro
 (<https://www.ipea.gov.br/atlasestado/>), maintained by the Instituto de
 Pesquisa Econômica Aplicada (Ipea). It allows users to search for specific
 series, list series or themes, and download data when available.

Package: r-cran-aeddo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-aeddo_0.1.1-1.ca2004.1_all.deb
Size: 80988
MD5sum: 463212f4be51e7581bac32a72bdcdbdd
SHA1: c2c679f6a8533de5ab961c1dd9d9d02b1c2f7da8
SHA256: acc2a0efd969e7c2f87e2362ad8fb24413479ee56303faa57417dc1c5738a467
SHA512: 44ff4230e1452b7bbae11d2322f90aa8a7be2d322031bb4c763f5cc710c5627f87e64638695d075686c37b1c785666df025be11e06bb42c0848d4be8c06eed6e
Homepage: https://cran.r-project.org/package=aeddo
Description: CRAN Package 'aeddo' (Automated and Early Detection of Disease Outbreaks)
 A powerful tool for automating the early detection of disease outbreaks in
 time series data. 'aeddo' employs advanced statistical methods, including
 hierarchical models, in an innovative manner to effectively characterize
 outbreak signals. It is particularly useful for epidemiologists, public
 health professionals, and researchers seeking to identify and respond to
 disease outbreaks in a timely fashion. For a detailed reference on
 hierarchical models, consult Henrik Madsen and Poul Thyregod's book (2011),
 ISBN: 9781420091557.

Package: r-cran-aedforecasting
Architecture: all
Version: 0.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-forecast, r-cran-signal
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-aedforecasting_0.20.0-1.ca2004.1_all.deb
Size: 194800
MD5sum: 93164d8e4c622ac71bbbd71a8c055722
SHA1: 8e70e25ef8e4fa1373853225649b85eb2c827cac
SHA256: 6e562154f53aea8da2bfdabfe68e044a53df791b169fe4d408f418757032a62c
SHA512: 35f79347add565f8cd17cb278a409eac3f24a87c7586dfb67cf3ad56d8f1ca54c9b5ac79f16d26bf468936e6c1a4cc40796857fd6dcf30d5290629b1ae0d0224
Homepage: https://cran.r-project.org/package=AEDForecasting
Description: CRAN Package 'AEDForecasting' (Change Point Analysis in ARIMA Forecasting)
 Package to incorporate change point analysis in ARIMA forecasting.

Package: r-cran-aedseo
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-lubridate, r-cran-plyr, r-cran-purrr, r-cran-pracma, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble
Suggests: r-cran-isoweek, r-cran-kableextra, r-cran-knitr, r-cran-mem, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-aedseo_0.3.0-1.ca2004.1_all.deb
Size: 728800
MD5sum: ab975139bca1c7054a21ddcfcdee3e6c
SHA1: 6cb26a106033cab040e68163287522f0bdbbd35b
SHA256: 2ad0bc8452759b4f3d43de7c6ae762a60f980588fcb018301480c7021136c297
SHA512: 9a15f4d1f85ca4192113d9826b7296c976dff6f1713146fa426f96bb3059d3f572809d09eb79564f48a26ba263f00a66822aeabe7517166b2004a09024662a79
Homepage: https://cran.r-project.org/package=aedseo
Description: CRAN Package 'aedseo' (Automated and Early Detection of Seasonal Epidemic Onset andBurden Levels)
 A powerful tool for automating the early detection of seasonal epidemic
 onsets in time series data. It offers the ability to estimate growth rates
 across consecutive time intervals, calculate the sum of cases (SoC) within
 those intervals, and estimate seasonal onsets within user defined seasons.
 With use of a disease-specific threshold it also offers the possibility to
 estimate seasonal onset of epidemics.  Additionally it offers the ability to
 estimate burden levels for seasons based on historical data. It is aimed
 towards epidemiologists, public health professionals, and researchers
 seeking to identify and respond to seasonal epidemics in a timely fashion.

Package: r-cran-aeenrich
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-bioc-qvalue, r-cran-doparallel, r-cran-tidyr, r-cran-modelr, r-cran-foreach, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aeenrich_1.1.0-1.ca2004.1_all.deb
Size: 476912
MD5sum: 41c74a20269760c72dbb9f3fa1bd4ae9
SHA1: 21b480171f6805c239e84c7bfcc0dcb95ac10c11
SHA256: 4ed8853cd35bcbea7af25bf7831410d70a156edeaa69526d3882e940d0c133c0
SHA512: 73589f62f72a66e5ec51fa2234c5d4c3575f826811029273a63916118e887210bddcee6a7ecc3a551117999211b5e067900fc9ecc1a2c90b895089189c14af67
Homepage: https://cran.r-project.org/package=AEenrich
Description: CRAN Package 'AEenrich' (Adverse Event Enrichment Tests)
 We extend existing gene enrichment tests to perform adverse event enrichment
 analysis. Unlike the continuous gene expression data, adverse event data are
 counts. Therefore, adverse event data has many zeros and ties. We propose
 two enrichment tests. One is a modified Fisher's exact test based on
 pre-selected significant adverse events, while the other is based on a
 modified Kolmogorov-Smirnov statistic. We add Covariate adjustment to
 improve the analysis."Adverse event enrichment tests using VAERS" Shuoran
 Li, Lili Zhao (2020) <arXiv:2007.02266>.

Package: r-cran-aelab
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1923
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-lubridate, r-cran-dplyr, r-cran-openxlsx, r-cran-readxl, r-cran-ggplot2, r-cran-readr, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aelab_1.0.1-1.ca2004.1_all.deb
Size: 1628912
MD5sum: 78541df8dabed3353433bca1f21840c9
SHA1: a956c4332ff73b7e2f346ee1be3adf68282cc8c5
SHA256: 9228e4710da61ab83579002785374d87fc8fac0f2051254fd9d5c881f6f40862
SHA512: 3c3b27b45fd0dd60abb1c339f9cd7d021ce8ff4dce69eef714a552504b00744997f1c3721e2fa776d5b88a7cdf5d0be1f527b257a6aab0611d1d38a651a49411
Homepage: https://cran.r-project.org/package=aelab
Description: CRAN Package 'aelab' (Data Processing for Aquatic Ecology)
 Facilitate the analysis of data related to aquatic ecology, specifically the
 establishment of carbon budget.  Currently, the package allows the below
 analysis.  (i) the calculation of greenhouse gas flux based on data obtained
 from trace gas analyzer using the method described in Lin et al. (2024).
 (ii) the calculation of Dissolved Oxygen (DO) metabolism based on data
 obtained from dissolved oxygen data logger using the method described in
 Staehr et al. (2010).  Yong et al. (2024) <doi:10.5194/bg-21-5247-2024>.
 Staehr et al. (2010) <doi:10.4319/lom.2010.8.0628>.

Package: r-cran-aep
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aep_0.1.4-1.ca2004.1_all.deb
Size: 54960
MD5sum: daee03d5bc940d5a196abde5a0e42d53
SHA1: d2b7808e3b4200365cc4113e802970c199df5f36
SHA256: 205273c1ee9bacdb8a0237afbfb137825d1ca5a91e1490ad6138a26ebd3b2e48
SHA512: eb951eaf938f888b2de6273da8c1c73a809aeea871054e2e306d7391c19d8e7479da9072858a7af8775f30e16456213295e144673583c0958e1f4fa262d4b34a
Homepage: https://cran.r-project.org/package=AEP
Description: CRAN Package 'AEP' (Statistical Modelling for Asymmetric Exponential PowerDistribution)
 Developed for Computing the probability density function, cumulative
 distribution function, random generation, estimating the parameters of
 asymmetric exponential power distribution, and robust regression analysis
 with error term that follows asymmetric exponential power distribution. The
 asymmetric exponential power distribution studied here is a special case of
 that introduced by Dongming and Zinde-Walsh (2009)
 <doi:10.1016/j.jeconom.2008.09.038>.

Package: r-cran-aer
Architecture: all
Version: 1.2-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2770
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-car, r-cran-lmtest, r-cran-sandwich, r-cran-survival, r-cran-zoo, r-cran-formula
Suggests: r-cran-boot, r-cran-dynlm, r-cran-effects, r-cran-fgarch, r-cran-forecast, r-cran-foreign, r-cran-ineq, r-cran-kernsmooth, r-cran-lattice, r-cran-longmemo, r-cran-mass, r-cran-mlogit, r-cran-nlme, r-cran-nnet, r-cran-np, r-cran-plm, r-cran-pscl, r-cran-quantreg, r-cran-rgl, r-cran-rocr, r-cran-rugarch, r-cran-sampleselection, r-cran-scatterplot3d, r-cran-strucchange, r-cran-systemfit, r-cran-truncreg, r-cran-tseries, r-cran-urca, r-cran-vars
Filename: pool/dists/focal/main/r-cran-aer_1.2-15-1.ca2004.1_all.deb
Size: 2541340
MD5sum: 451f2362d512c86e9929f4d8db426362
SHA1: 5ca9dc928959cbe6ce07fc3ba8e1e594978fba1f
SHA256: 7c20c76ad459668035e21f2afb55e6e58cb86abb4629ea25a9cc3f64d0d488ee
SHA512: dd9c08429df4bedd0c64da98af5e91307c91816fb28de308a206f567915e7ce690accca07fb35cb2f6cefedf0cf0b1d1aa94508256afa8e276defee171efa814
Homepage: https://cran.r-project.org/package=AER
Description: CRAN Package 'AER' (Applied Econometrics with R)
 Functions, data sets, examples, demos, and vignettes for the book Christian
 Kleiber and Achim Zeileis (2008), Applied Econometrics with R,
 Springer-Verlag, New York.  ISBN 978-0-387-77316-2.
 <doi:10.1007/978-0-387-77318-6> (See the vignette "AER" for a package
 overview.)

Package: r-cran-aerobiology
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-writexl, r-cran-ggvis, r-cran-lubridate, r-cran-plotly, r-cran-ggplot2, r-cran-tidyr, r-cran-circular, r-cran-scales, r-cran-zoo, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aerobiology_2.0.1-1.ca2004.1_all.deb
Size: 690056
MD5sum: b390f7bef20ff597b69cf646f05f7f0c
SHA1: f41a865b0dba75ab2f527b40e8c8790026ea29e7
SHA256: a14f1542585b12dc2c2f2c4412a8e1b9badadc0255ef087a21e24ba95b5553e7
SHA512: 16f4ddf209a3d1e640e50ad5427926092dd3b7c2961a6dc8fd4f61d2feaeda6389cca562e8a8b7a06e17ebb23594e05b997a8d755d3555554e392ef3cbd2ec3f
Homepage: https://cran.r-project.org/package=AeRobiology
Description: CRAN Package 'AeRobiology' (A Computational Tool for Aerobiological Data)
 Different tools for managing databases of airborne particles, elaborating
 the main calculations and visualization of results. In a first step, data
 are checked using tools for quality control and all missing gaps are
 completed. Then, the main parameters of the pollen season are calculated and
 represented graphically. Multiple graphical tools are available: pollen
 calendars, phenological plots, time series, tendencies, interactive plots,
 abundance plots...

Package: r-cran-aerosampler
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-stringr, r-cran-tidyselect, r-cran-flextable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aerosampler_0.2.0-1.ca2004.1_all.deb
Size: 171116
MD5sum: f9ce646977ee4e424215de7771703c42
SHA1: 722cd653b404bdd7afdd8b84a22e51adab3dbbaf
SHA256: d5e8133218b8b5a974a01bd783c52ec1e491b473bdc372c27450dc8155131194
SHA512: e06133ba1e88067323e09d9d9fdee40af9b96dccb2c9d81a7dd47079ae4aeebdd296375e99492f0b52fd381b5f372f0ff76ff97b6cb5b03996d60fb8d66493db
Homepage: https://cran.r-project.org/package=AeroSampleR
Description: CRAN Package 'AeroSampleR' (Estimate Aerosol Particle Collection Through Sample Lines)
 Estimate ideal efficiencies of aerosol sampling through sample lines.
 Functions were developed consistent with the approach described in Hogue,
 Mark; Thompson, Martha; Farfan, Eduardo; Hadlock, Dennis, (2014), "Hand
 Calculations for Transport of Radioactive Aerosols through Sampling Systems"
 Health Phys 106, 5, S78-S87, <doi:10.1097/HP.0000000000000092>.

Package: r-cran-af
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-drgee, r-cran-stdreg, r-cran-data.table, r-cran-ivtools
Filename: pool/dists/focal/main/r-cran-af_0.1.5-1.ca2004.1_all.deb
Size: 255428
MD5sum: bb2af978f0a4590c79786bb8e5227e7a
SHA1: fa2192e927fded125dc223c8b3573eef9392e3b6
SHA256: 4120a2691ad4506d67bc3786e1a0f0c9868da86429f0fb0909aef8b65cab7fcd
SHA512: 0c4f4a7f525f85744a06eaf8945872644a965021efa953d9e0d11fb2136802d7978b40d267f06ee4844870c4c5346dcf1b0ad6c2b4127fadb9e61d6ca8a786dc
Homepage: https://cran.r-project.org/package=AF
Description: CRAN Package 'AF' (Model-Based Estimation of Confounder-Adjusted AttributableFractions)
 Estimates the attributable fraction in different sampling designs adjusted
 for measured confounders using logistic regression (cross-sectional and
 case-control designs), conditional logistic regression (matched case-control
 design), Cox proportional hazard regression (cohort design with time-to-
 event outcome), gamma-frailty model with a Weibull baseline hazard and
 instrumental variables analysis.  An exploration of the AF with a genetic
 exposure can be found in the package 'AFheritability' Dahlqwist E et al.
 (2019) <doi:10.1007/s00439-019-02006-8>.

Package: r-cran-afc
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-afc_1.4.0-1.ca2004.1_all.deb
Size: 103304
MD5sum: a1eb6703960939dad4197d500ab676fe
SHA1: 33777830cd8dc4c503ff3fd1395b003d0d87da62
SHA256: 6a76af41bdd73b69f23e1ff4287d71f68333535848a409456d8855cba8c47071
SHA512: dc249f2444c742194ff2c97ce92a1d91e1d9fe473158caaed7c4d9d32af0e20b48030d0975babf743dca2b498c0339a1e2d4dc19d55532a0138d4efff06dee7d
Homepage: https://cran.r-project.org/package=afc
Description: CRAN Package 'afc' (Generalized Discrimination Score)
 This is an implementation of the Generalized Discrimination Score (also
 known as Two Alternatives Forced Choice Score, 2AFC) for various
 representations of forecasts and verifying observations. The Generalized
 Discrimination Score is a generic forecast verification framework which can
 be applied to any of the following verification contexts: dichotomous,
 polychotomous (ordinal and nominal), continuous, probabilistic, and
 ensemble.  A comprehensive description of the Generalized Discrimination
 Score, including all equations used in this package, is provided by Mason
 and Weigel (2009) <doi:10.1175/MWR-D-10-05069.1>.

Package: r-cran-afcharts
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4568
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-cli, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-ggtext, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-tidyr, r-cran-glue, r-cran-purrr, r-cran-stringr, r-cran-testthat, r-cran-plotly, r-cran-gt, r-cran-svglite, r-cran-ragg, r-cran-gapminder, r-cran-diffviewer, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-afcharts_0.4.1-1.ca2004.1_all.deb
Size: 1133316
MD5sum: af73ae1f66e09ef794e611feb9bd1fbe
SHA1: 6d08a9767d1dc462e4b87408eae789d4982faad0
SHA256: 3c6739d26c53f5334bf3a8884acaeb0e2faf9bf1679bd961d4e574009be0d309
SHA512: 8c8bd7384eb8d91d704dbdd1341289b9e781cc0cee873970611bdd23fd5e345b35adfd2a6fd0980cf8b075175c007c83214fb8e88a01635e1831a6613f8532a2
Homepage: https://cran.r-project.org/package=afcharts
Description: CRAN Package 'afcharts' (Produce Charts Following UK Government Analysis FunctionGuidance)
 Colour palettes and a 'ggplot2' theme to follow the UK Government Analysis
 Function best practice guidance for producing data visualisations, available
 at
 <https://analysisfunction.civilservice.gov.uk/policy-store/data-visualisation-charts/>.
 Includes continuous and discrete colour and fill scales, as well as a
 'ggplot2' theme.

Package: r-cran-afcolours
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-afcolours_1.0.0-1.ca2004.1_all.deb
Size: 14248
MD5sum: 644e317d1bf8479a9a7cc75632a1cefc
SHA1: 3f177cb3e18d8cc22a81579188302f3195908f8c
SHA256: 0fb02c4ea7c98efaf963cdf83fc5894c7be916e12472577e72144925f4dd3c36
SHA512: 859959495a761f3102b76ecac1819c2cd8bd3b1031dc3ce6699eaf9e826a7e276af50219ce3d5a5fcb7254d9607c6af7c81ba0441ef2c9679865342ceca27995
Homepage: https://cran.r-project.org/package=afcolours
Description: CRAN Package 'afcolours' (Government Analysis Function Recommended Accessible ColourPalette)
 Government Analysis Function recommended colours for use in charts on gov.uk
 to help meet accessibility guidance.

Package: r-cran-afdx
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-desctools, r-cran-kableextra, r-cran-coda, r-cran-rjags, r-cran-ggmcmc, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-afdx_1.1.1-1.ca2004.1_all.deb
Size: 287856
MD5sum: e53317eb32263fba7066b89dc8b03d5c
SHA1: 034ac310a0d7275307270269e0838c7f2b6520ab
SHA256: b27bb077bd3b7cfa318e88cae68513f0c48142e4856fba4a47a17cde2db41b82
SHA512: bf34532e4935cfb07c24b91ee7a6318fe9c5a82cea6f3a9d436591babe974facd9201f0f66e9e95e16f07ce107f7289428ba93dcec4fea34f2e8f1fe3b8e35f1
Homepage: https://cran.r-project.org/package=afdx
Description: CRAN Package 'afdx' (Diagnosis Performance Using Attributable Fraction)
 Estimate diagnosis performance (Sensitivity, Specificity, Positive
 predictive value, Negative predicted value) of a diagnostic test where can
 not measure the golden standard but can estimate it using the attributable
 fraction.

Package: r-cran-afex
Architecture: all
Version: 1.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-pbkrtest, r-cran-lmertest, r-cran-car, r-cran-reshape2
Suggests: r-cran-emmeans, r-cran-coin, r-cran-xtable, r-cran-plyr, r-cran-optimx, r-cran-nloptr, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-lattice, r-cran-latticeextra, r-cran-multcomp, r-cran-testthat, r-cran-mlmrev, r-cran-dplyr, r-cran-tidyr, r-cran-dfoptim, r-cran-matrix, r-cran-psychtools, r-cran-ggplot2, r-cran-memss, r-cran-effects, r-cran-cardata, r-cran-ggbeeswarm, r-cran-nlme, r-cran-cowplot, r-cran-jtools, r-cran-ggpubr, r-cran-ggpol, r-cran-mass, r-cran-glmmtmb, r-cran-brms, r-cran-rstanarm, r-cran-statmod, r-cran-performance, r-cran-see, r-cran-ez, r-cran-ggresidpanel, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-afex_1.4-1-1.ca2004.1_all.deb
Size: 2650784
MD5sum: eb0d8d28befd9ad21af1907754982756
SHA1: f6d2830c2597b3b97fdc455c207e1d505868f635
SHA256: 5c7e0ca8e4d3bc957517cc158f75e0b7fb15316713fdfeeb486bb8febf557460
SHA512: 058720f26fd09fd213b78ad5785285fdf0f2cb95851a4077b2a5fc080bd97a8b3a8977cdc4ffc3dd11a21231fa1656ef900e98a223a39e6b0b664bb381285335
Homepage: https://cran.r-project.org/package=afex
Description: CRAN Package 'afex' (Analysis of Factorial Experiments)
 Convenience functions for analyzing factorial experiments using ANOVA or
 mixed models. aov_ez(), aov_car(), and aov_4() allow specification of
 between, within (i.e., repeated-measures), or mixed (i.e., split-plot)
 ANOVAs for data in long format (i.e., one observation per row),
 automatically aggregating multiple observations per individual and cell of
 the design. mixed() fits mixed models using lme4::lmer() and computes
 p-values for all fixed effects using either Kenward-Roger or Satterthwaite
 approximation for degrees of freedom (LMM only), parametric bootstrap (LMMs
 and GLMMs), or likelihood ratio tests (LMMs and GLMMs).  afex_plot()
 provides a high-level interface for interaction or one-way plots using
 ggplot2, combining raw data and model estimates. afex uses type 3 sums of
 squares as default (imitating commercial statistical software).

Package: r-cran-affect
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-affect_0.1.2-1.ca2004.1_all.deb
Size: 41012
MD5sum: e1ebb82186feaed236819b98537de891
SHA1: 7c05e7acd2d01b2ad5df01a256c29100e7845c22
SHA256: c88418593a27d1bf99f44e71c4483e5f9ffa9e81b2a624161f97ee286adb7723
SHA512: 1804f8f8f7e28b27ec5d28ce2e6d6aa61f8b4aa17a02efe8bb0ce9a10955af1fa98c8f8b9d6d18994d578d92e072457abd6e5c694f201bb2e4efbc37a0f37bd6
Homepage: https://cran.r-project.org/package=AFFECT
Description: CRAN Package 'AFFECT' (Accelerated Functional Failure Time Model withError-Contaminated Survival Times)
 We aim to deal with data with measurement error in the response and
 misclassification censoring status under an AFT model. This package
 primarily contains three functions, which are used to generate artificial
 data, correction for error-prone data and estimate the functional covariates
 for an AFT model.

Package: r-cran-affiner
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1623
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6
Suggests: r-cran-artsy, r-cran-ggplot2, r-cran-gridpattern, r-cran-gtable, r-cran-knitr, r-cran-ragg, r-cran-rgl, r-cran-rlang, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-affiner_0.1.3-1.ca2004.1_all.deb
Size: 1303376
MD5sum: d418b1684f1acebf181e4bb9f4200198
SHA1: a24c18641c4a730d9e988ca37af2a003dd562128
SHA256: efefb66990c6f75fb82bddec29a16561e2bbff9349dee1375200d9172c8187af
SHA512: df4b21abeb5afaafc0813087222bd7d3a97b4047ea92822e28f780513dcf1a3e118dc408d6f36e91c3210e7b6bb6ca216ba09fd0407087d437e9b1ad81cdfeb5
Homepage: https://cran.r-project.org/package=affiner
Description: CRAN Package 'affiner' (A Finer Way to Render 3D Illustrated Objects in 'grid' UsingAffine Transformations)
 Dilate, permute, project, reflect, rotate, shear, and translate 2D and 3D
 points.  Supports parallel projections including oblique projections such as
 the cabinet projection as well as axonometric projections such as the
 isometric projection.  Use 'grid's "affine transformation" feature to render
 illustrated flat surfaces.

Package: r-cran-affinity
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 674
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-reproj
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-affinity_0.2.5-1.ca2004.1_all.deb
Size: 619492
MD5sum: abcdbaf82b238a55586cfee646adcf5e
SHA1: 5682c997bd0d2275be285e6ef4cc3fbc7d04eea6
SHA256: bdd53717648a645f1037236c7fffae935ab915295fcd4ae1c2f28dd1ded5dc62
SHA512: 1d22c88b92ab59108669f4beaadda439a2cda7c4b8aac2f97340d13a3014fbe2c7d882e8523aab1fec13987c00f036c25f2d24d73f82f4deb6b206f18f317476
Homepage: https://cran.r-project.org/package=affinity
Description: CRAN Package 'affinity' (Raster Georeferencing, Grid Affine Transforms, Cell Abstraction)
 Tools for raster georeferencing, grid affine transforms, and general raster
 logic.  These functions provide converters between raster specifications,
 world vector, geotransform, 'RasterIO' window, and 'RasterIO window' in 'sf'
 package list format. There are functions to offset a matrix by padding any
 of four corners (useful for vectorizing neighbourhood operations), and
 helper functions to harvesting user clicks on a graphics device to use for
 simple georeferencing of images.  Methods used are available from
 <https://en.wikipedia.org/wiki/World_file> and
 <https://gdal.org/user/raster_data_model.html>.

Package: r-cran-affinitymatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-expm, r-cran-mass, r-cran-hmisc, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-affinitymatrix_0.1.0-1.ca2004.1_all.deb
Size: 123928
MD5sum: 6c2cc6d4996414d1dca71507ff515461
SHA1: 68e1acf8bddb1d2f1bad20e1cd7352afc61b1763
SHA256: 46ba36f177b75b1476e7b8d100e5bffe150af5c5d41f1d3a9e8922ac8ae2dd28
SHA512: 16902c9590ce2d820722da1c958e909141a3fdf81eceb04f9250129ec4c050617b9391e395117a7ed394a0db759f6babd9cf210f266fe79db92402dfa5bd7772
Homepage: https://cran.r-project.org/package=affinitymatrix
Description: CRAN Package 'affinitymatrix' (Estimation of Affinity Matrix)
 Tools to study sorting patterns in matching markets and to estimate the
 affinity matrix of both the bipartite one-to-one matching model without
 frictions and with Transferable Utility by 'Dupuy' and 'Galichon' (2014)
 <doi:10.1086/677191> and its 'unipartite' variant by 'Ciscato', 'Galichon'
 and 'Gousse' (2020) <doi:10.1086/704611>. It also contains all the necessary
 tools to implement the 'saliency' analysis, to run rank tests of the
 affinity matrix and to build tables and plots summarizing the findings.

Package: r-cran-affluenceindex
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.univar
Filename: pool/dists/focal/main/r-cran-affluenceindex_2.2-1.ca2004.1_all.deb
Size: 87308
MD5sum: 574b774ad815a206129273d5dfcae8e6
SHA1: cadb946a36217aa351d9cb487dd0a277103afc38
SHA256: 7619b7b4a60609f2809a6d78d7396622701a96c2361615e85aaab916fe6e3910
SHA512: 49c8631121b3c61e4cfccb1ce7a9ccdb7e78be27ced8233418df78c679036e203d7994ad2db2161ac03376a3fa0644084468363c6f2289ebb6c31e1d2fa2f464
Homepage: https://cran.r-project.org/package=affluenceIndex
Description: CRAN Package 'affluenceIndex' (Affluence (Richness) Indices)
 Enables to compute the statistical indices of affluence (richness) with
 bootstrap errors, and inequality and polarization indices. Moreover, gives
 the possibility of calculation of affluence line. Some simple errors are
 fixed and it works with new version of Spatial Statistics packaged.

Package: r-cran-afheritability
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-mvtnorm, r-cran-ggplot2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-afheritability_0.1.0-1.ca2004.1_all.deb
Size: 63888
MD5sum: 55bbd9660514c875a4517ad33b3312d0
SHA1: af5510d31db2a33320c1a8e1dc4b01e01f7a2ebe
SHA256: ae8caf6a40fa2dedd3917aaa2c42ece9ec6d8864ab7b3b314534d989513cbf96
SHA512: c0fc20866a8ca6e4650f3d80e058d6d54deae67fd5457d95f4c91eb1d101ad5ff5fbfd6de4955c66417dca18229e4e6f1ae4893796b34530a4709af658ccdbf2
Homepage: https://cran.r-project.org/package=AFheritability
Description: CRAN Package 'AFheritability' (The Attributable Fraction (AF) Described as a Function ofDisease Heritability, Prevalence and Intervention SpecificFactors)
 The AFfunction() is a function which returns an estimate of the Attributable
 Fraction (AF) and a plot of the AF as a function of heritability, disease
 prevalence, size of target group and intervention effect.  Since the AF is a
 function of several factors, a shiny app is used to better illustrate how
 the relationship between the AF and heritability depends on several other
 factors. The app is ran by the function runShinyApp().  For more information
 see Dahlqwist E et al. (2019) <doi:10.1007/s00439-019-02006-8>.

Package: r-cran-afm
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2128
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-afm_2.0-1.ca2004.1_all.deb
Size: 1865112
MD5sum: 21621959ecb43e261069a0f1442fcebd
SHA1: 87c4d2fd550ced4aea32d4db2c81b95dc2cfd21f
SHA256: 6bd6ec590bc391967062e272cfdb0c25356f59a62b53b8784ee0dde5e81ba35b
SHA512: 9189a1fad84b37eae3cec4997c63e72ab6be272f4b9040bc159519f40fc1cb174a5d86c826542986cf26910eb3b36a433200ada6f2ab6da1e505f06f78fe7e12
Homepage: https://cran.r-project.org/package=AFM
Description: CRAN Package 'AFM' (Atomic Force Microscope Image Analysis)
 Provides Atomic Force Microscope images analysis such as Gaussian mixes
 identification, Power Spectral Density, roughness against lengthscale,
 experimental variogram and variogram models, fractal dimension and scale, 2D
 network analysis. The AFM images can be exported to STL format for 3D
 printing.

Package: r-cran-afmtoolkit
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-gridextra, r-cran-scales, r-cran-dplyr, r-cran-dbi, r-cran-assertthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-afmtoolkit_0.0.1-1.ca2004.1_all.deb
Size: 2954256
MD5sum: b55dacacac8624279dacc39e8abb6928
SHA1: f6b2eccfa7d3a3851b672aed6d7f044cec556cc8
SHA256: 06bfec5411729d21f7fb9f02bc9a50c6ac28e775ece9dddbc2dd32ef750d0589
SHA512: baa41d7b2808bc1d9da225c3beae56db23b59ed0d8d0530a035a641cedf05690fd9d30b6c0d32ae903ea43d2d22eb881f024d9560a3c219353296ab4bd7dd6bc
Homepage: https://cran.r-project.org/package=afmToolkit
Description: CRAN Package 'afmToolkit' (Functions for Atomic Force Microscope Force-Distance CurvesAnalysis)
 Set of functions for analyzing Atomic Force Microscope (AFM) force-distance
 curves. It allows to obtain the contact and unbinding points, perform the
 baseline correction, estimate the Young's modulus, fit up to two exponential
 decay function to a stress-relaxation / creep experiment, obtain adhesion
 energies. These operations can be done either over a single F-d curve or
 over a set of F-d curves in batch mode.

Package: r-cran-afpt
Architecture: all
Version: 1.1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 685
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-afpt_1.1.0.4-1.ca2004.1_all.deb
Size: 423520
MD5sum: 3431f866d6fb26a873276b551d7fa366
SHA1: 091010ef09a34f053c2e80d048d94e7467880b0a
SHA256: fa2ab9045923d5c6659751133bbae6ee5dcc527e355105eff5459743d52f3773
SHA512: e1b2243df43dcdc3283ceab2aa9999767dac81ec76717fe954fbc7feb2a09625b433a1910ba94c35d63bbe664d957572817fc0f573311d9eb240c2cdeae97dd1
Homepage: https://cran.r-project.org/package=afpt
Description: CRAN Package 'afpt' (Tools for Modelling of Animal Flight Performance)
 Allows estimation and modelling of flight costs in animal (vertebrate)
 flight, implementing the aerodynamic power model described in Klein
 Heerenbrink et al.  (2015) <doi:10.1098/rspa.2014.0952>. Taking inspiration
 from the program 'Flight', developed by Colin Pennycuick (Pennycuick (2008)
 "Modelling the flying bird". Amsterdam: Elsevier. ISBN 0-19-857721-4),
 flight performance is estimated based on basic morphological measurements
 such as body mass, wingspan and wing area. 'afpt' can be used to make
 predictions on how animals should adjust their flight behaviour and wingbeat
 kinematics to varying flight conditions.

Package: r-cran-afr
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-forecast, r-cran-zoo, r-cran-regclass, r-cran-olsrr, r-cran-lmtest, r-cran-nlme, r-cran-ggplot2, r-cran-tseries, r-cran-gridextra, r-cran-rlang, r-cran-xts, r-cran-writexl, r-cran-mfilter, r-cran-nortest, r-cran-goftest, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-afr_0.3.6-1.ca2004.1_all.deb
Size: 213152
MD5sum: 3ab26879bce7058b272af2902f055592
SHA1: cf05628cdea72a604b8f91e0826e1a552a7dc66a
SHA256: f64261b7bc7cd98f1fdf4a8b56f8f178a3e69f6ad56dff3f45eb4faf5de6a629
SHA512: d5b387be23ea268692a14cc93774169470c5f51859b3c60145d3727ac11eee8c2f6c65ab9ced61d76d09d4d2668e21df177270803ff5d23458f5ea78ceb1d868
Homepage: https://cran.r-project.org/package=AFR
Description: CRAN Package 'AFR' (Toolkit for Regression Analysis of Kazakhstan Banking SectorData)
 Tool is created for regression, prediction and forecast analysis of
 macroeconomic and credit data.  The package includes functions from existing
 R packages adapted for banking sector of Kazakhstan.  The purpose of the
 package is to optimize statistical functions for easier interpretation for
 bank analysts and non-statisticians.

Package: r-cran-africamonitor
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-rmysql, r-cran-data.table, r-cran-collapse
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-africamonitor_0.2.4-1.ca2004.1_all.deb
Size: 73668
MD5sum: fb55c499c0e6264bd555fe25e2b10af0
SHA1: ffe8ba008da0c79092797e02e85720b3dc97093f
SHA256: 1245c881f14abdd818a92250201b35d2999353f7e11a6d3a0281e67796284835
SHA512: ae7a654e2ae174ac562d48d335bd927335e5d67c1183500b9d9a932e94dbd2a1511c9e89583e34e70e1dbe245b361634d01fae4e53b73f903ad78adee2382b16
Homepage: https://cran.r-project.org/package=africamonitor
Description: CRAN Package 'africamonitor' (Africa Macroeconomic Monitor Database API)
 An R API providing access to a relational database with macroeconomic data
 for Africa.  The database contains >700 macroeconomic time series from
 mostly international sources, grouped into 50 macroeconomic and
 development-related topics. Series are carefully selected on the basis of
 data coverage for Africa, frequency, and relevance to the macro-development
 context.  The project is part of the 'Kiel Institute Africa Initiative'
 <https://www.ifw-kiel.de/institute/initiatives/kiel-institute-africa-initiative/>,
 which, amongst other things, aims to develop a parsimonious database with
 highly relevant indicators to monitor macroeconomic developments in Africa,
 accessible through a fast API and a web-based platform at
 <https://africamonitor.ifw-kiel.de/>.  The database is maintained at the
 Kiel Institute for the World Economy <https://www.ifw-kiel.de/>.

Package: r-cran-aftables
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-pillar
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-aftables_1.0.2-1.ca2004.1_all.deb
Size: 998472
MD5sum: 709b214cf88516121def9c26c75dde4a
SHA1: 683c8dd47d8b416f542b562f159292ee33576477
SHA256: c98d783b99bdcb6402d6d19bd043bfce6f5d168f68d3d70cbc1bb3872ea506bf
SHA512: e20acb217259b200dfa2cfa261ad60e4849ba73a1c11a9b2e9fd87b31e671805ec4b1b40157de150fc633d527723b37a61618ab5f31f03f5bf3e9fb1354d91ed
Homepage: https://cran.r-project.org/package=aftables
Description: CRAN Package 'aftables' (Create Spreadsheet Publications Following Best Practice)
 Generate spreadsheet publications that follow best practice guidance from
 the UK government's Analysis Function, available at
 <https://analysisfunction.civilservice.gov.uk/policy-store/releasing-statistics-in-spreadsheets/>,
 with a focus on accessibility. See also the 'Python' package 'gptables'.

Package: r-cran-afthd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 557
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-photobiology, r-cran-r2jags, r-cran-rstpm2, r-cran-survival
Filename: pool/dists/focal/main/r-cran-afthd_1.1.0-1.ca2004.1_all.deb
Size: 529520
MD5sum: 75315dded97e9563e1046249677d8922
SHA1: 1b1930c0acb2b2fd8343a0ae77d83c5d8a02c210
SHA256: 5c962e11bb7fa4804d64b34d6a9b4e2d45f6445289510755f618a4c3b1c0b35d
SHA512: 37a84f4203006bfde591277c93af9ab19b270c8acdf10bdcec0ea9ee5f72372414527a7b33e80ffa4fa250f20b54b28c3b0a94db3abe7941a2b754f85f6cc6dc
Homepage: https://cran.r-project.org/package=afthd
Description: CRAN Package 'afthd' (Accelerated Failure Time for High Dimensional Data with MCMC)
 Functions for Posterior estimates of Accelerated Failure Time(AFT) model
 with MCMC and Maximum likelihood estimates of AFT model without MCMC for
 univariate and multivariate analysis in high dimensional gene expression
 data are available in this 'afthd' package.  AFT model with Bayesian
 framework for multivariate in high dimensional data has been proposed by
 Prabhash et al.(2016) <doi:10.21307/stattrans-2016-046>.

Package: r-cran-aftr2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-aftr2_0.1.0-1.ca2004.1_all.deb
Size: 10212
MD5sum: 765397ff66795887c840543fd6c19cca
SHA1: 206947fd54afd968cf20fc4c7ffdff359e84cfdc
SHA256: c7a219f74a9c3e55aaa7554f62859a20aeb12e98725d4c2b5278a0676ff947c8
SHA512: fe4bd414d723f576af5fc6e6d52ec57f5699d388dd0a190aae077066916d22998951fdb09b38daf58294e0facd6ce03f2fddce078f5afb595deb0c11c31734dc
Homepage: https://cran.r-project.org/package=aftR2
Description: CRAN Package 'aftR2' (R-Squared Measure under Accelerated Failure Time (AFT) Models)
 Compute the R-squared measure under the accelerated failure time (AFT)
 models proposed in Chan et. al. (2018) <doi:10.1080/03610918.2016.1177072>.

Package: r-cran-ag5tools
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-reticulate, r-cran-fs, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ag5tools_0.0.2-1.ca2004.1_all.deb
Size: 531652
MD5sum: c8674424bd92a48b8d414e8bab98c447
SHA1: c3fd68e98e48ad016c81334ebddb8e933352939e
SHA256: 478f91cb25eeb242ad133dff68e026f05496f8d5cb15d7478cbf8c6c70737935
SHA512: 7802b7123cff2c7296a1973d9689eb3a5c30875124572a20abb094717643bcacdfd9d8b82b4f9953e574348e7f5cf61450d20c7e207e12cd5ec1e4a3369e6630
Homepage: https://cran.r-project.org/package=ag5Tools
Description: CRAN Package 'ag5Tools' (Toolbox for Downloading and Extracting Copernicus AgERA5 Data)
 Tools for downloading and extracting data from the Copernicus
 "Agrometeorological indicators from 1979 to present derived from reanalysis"
 <https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-agrometeorological-indicators?tab=overview>
 (AgERA5).

Package: r-cran-agd
Architecture: all
Version: 0.45.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist
Filename: pool/dists/focal/main/r-cran-agd_0.45.0-1.ca2004.1_all.deb
Size: 458832
MD5sum: 516247ca7fc527a7fe0c9db1136bdf62
SHA1: 2415cf8669bab2d232d12847a9a62012edda0d0c
SHA256: 77034d96dd8d26afc95374d75ca2f5ba03d9014c6ea7f9bbc9b1ebaaa55b2523
SHA512: 2402502edac82916864c307acb9e981c57277125d60f682ce9828eec3e0c3c15d537acff5c2f0b2394a998949a8bcc83a8f40fd2869e0a27c2ad5ea4fd5ed35a
Homepage: https://cran.r-project.org/package=AGD
Description: CRAN Package 'AGD' (Analysis of Growth Data)
 Tools for the analysis of growth data: to extract an LMS table from a gamlss
 object, to calculate the standard deviation scores and its inverse, and to
 superpose two wormplots from different models. The package contains a some
 varieties of reference tables, especially for The Netherlands.

Package: r-cran-age
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-mass, r-cran-survey
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-age_0.0.9-1.ca2004.1_all.deb
Size: 65176
MD5sum: 229a7d8765e3ae874b6987cb866349e8
SHA1: 928e07ed213e12c85fee04445ebe94c55257a506
SHA256: ed4a43a7b30fa787385db1fce88e6bd930703670164f4d5586278102cedf8b16
SHA512: 7391c97937ae0ec2a070ec6452c64642d557c22970308a2052942083b75bb871901135300ac6598a0730b9299624127412964aacf1f1a6fe09f3555a155a08f4
Homepage: https://cran.r-project.org/package=aGE
Description: CRAN Package 'aGE' (Adaptive Set-Based Gene-Environment Interaction Test for RareVariants)
 Tests gene-environment interaction for rare genetic variants within the
 framework of adaptive sum of powered score test. The package includes two
 tests: adaptive gene-by-environment interaction test, and joint test for
 genetic main effects and gene-environment interaction. See Yang et al (2018)
 <doi:10.1002/sim.8037>.

Package: r-cran-ageg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ageg_1.0.0-1.ca2004.1_all.deb
Size: 13852
MD5sum: 071bafccd63e1cf8672296d42c29654d
SHA1: 96b5ac672e50fd0230af92c7d06e86b1bef24dc8
SHA256: fa9b488d7706e63374e1c396b7c4f834bd866b82ecada362c3fcbe89ba0c8799
SHA512: 58582ef300aa58b17836b99327d7731a03b4dbd22647fdc2d8b5059d4624a9f51d5faf408a2bfef3da9ae0541aaec3f6e6dbc4a6aee180c555cefce4829a449a
Homepage: https://cran.r-project.org/package=ageg
Description: CRAN Package 'ageg' (Age Grouping Functions)
 Pair of simple convenience functions to convert a vector of birth dates to
 age and age distributions. These functions may be helpful when related age
 and custom age distributions are desired given a vector of birth dates.

Package: r-cran-agena.ai
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjson, r-cran-httr, r-cran-openxlsx, r-bioc-rgraphviz
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-agena.ai_1.1.1-1.ca2004.1_all.deb
Size: 241520
MD5sum: 6d9481684db12be5cef5ca24bc8ac7f1
SHA1: fb2514967aa89c6a4dc202bbb40264d63eeff8d6
SHA256: f0ab753e987f68067cb23cb34bc5d0390c88cc3ce0616a12085d3579351a79f1
SHA512: aeca9385bf2e2429c8186f4865227961cf67e839b22b4379c6b099f5948e6b109acde31a4ac48f4cdafb9496e17e69323a79cb98ef14620358b9b3618eb9201e
Homepage: https://cran.r-project.org/package=agena.ai
Description: CRAN Package 'agena.ai' (R Wrapper for 'agena.ai' API)
 An R wrapper for 'agena.ai' <https://www.agena.ai> which provides users
 capabilities to work with 'agena.ai' using the R environment. Users can
 create Bayesian network models from scratch or import existing models in R
 and export to 'agena.ai' cloud or local API for calculations. Note: running
 calculations requires a valid 'agena.ai' API license (past the initial trial
 period of the local API).

Package: r-cran-agepopdenom
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tmb, r-cran-dplyr, r-cran-curl, r-cran-exactextractr, r-cran-ggplot2, r-cran-numderiv, r-cran-pdist, r-cran-sf, r-cran-cli, r-cran-tibble, r-cran-terra, r-cran-tidyr, r-cran-httr
Suggests: r-cran-stringr, r-cran-openxlsx2, r-cran-countrycode, r-cran-crayon, r-cran-scales, r-cran-glue, r-cran-haven, r-cran-here, r-cran-rstudioapi, r-cran-geodata, r-cran-pbmcapply, r-cran-future, r-cran-future.apply, r-cran-purrr, r-cran-rdhs, r-cran-rlang, r-cran-pak, r-cran-sp, r-cran-automap, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-matrixstats, r-cran-mockery, r-cran-gstat, r-cran-rcppeigen
Filename: pool/dists/focal/main/r-cran-agepopdenom_0.4.0-1.ca2004.1_all.deb
Size: 650068
MD5sum: e57bc92a533dd9108b7a84209363a45a
SHA1: 00cf82d69953421ce7d7e1b1d323dc14d5e00472
SHA256: ac5ff782b73b11722a8994ebbde20cc85f5659b4357beb95bd57ebf82896a77f
SHA512: 90d876e3030ba91d9da458826dbfe34e8c8f482dfb69dc488dcd1b48581defa0dcdd62d1cbba01d7e821fa2b1b032a3595f6139c3c73607c1adb3500319851f1
Homepage: https://cran.r-project.org/package=AgePopDenom
Description: CRAN Package 'AgePopDenom' (Model Fine-Scale Age-Structured Population Data usingOpen-Source Data)
 Automate the modelling of age-structured population data using survey data,
 grid population estimates and urban-rural extents.

Package: r-cran-ageutils
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ageutils_0.0.8-1.ca2004.1_all.deb
Size: 122044
MD5sum: 036722919dc9e1bf88e659822a34320e
SHA1: 7ad61229dc234f806a356c3267423913a052f805
SHA256: bb8cd8ac45609a61808192e3b65bb1e6a68a136fa556f75d31e73b5327bd6662
SHA512: ffacf659cc9e53f9eee9854c7f1ff5b0c3e7a7fb79bbd644e2239234f5141bd3022f9afdc5b7537208484b210ee40ab72f870752007cdcfbb57f08f20e2b582f
Homepage: https://cran.r-project.org/package=ageutils
Description: CRAN Package 'ageutils' (Collection of Functions for Working with Age Intervals)
 Provides a collection of efficient functions for working with individual
 ages and corresponding intervals. These include functions for conversion
 from an age to an interval, aggregation of ages with associated counts in to
 intervals and the splitting of interval counts based on specified age
 distributions.

Package: r-cran-agfh
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-goftest, r-cran-ks, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-agfh_0.2.1-1.ca2004.1_all.deb
Size: 208580
MD5sum: fb253d15818baf4fd59d1e25c2e035af
SHA1: a137dc4a3bcc5417239d82cfbbdb2b9c3e066952
SHA256: a7a66254403efb95c7391bdbf8d8311225fdb02fa075f602e03bc4d8a533b4f6
SHA512: b7c69c7d1323ade967a33f23d299e37d508d5404262794e86841c2c7f5aaeeb646156c286055fc664f9edb3baf37a16e7a9069e74093943fee511ff783d4030b
Homepage: https://cran.r-project.org/package=agfh
Description: CRAN Package 'agfh' (Agnostic Fay-Herriot Model for Small Area Statistics)
 Implements the Agnostic Fay-Herriot model, an extension of the traditional
 small area model. In place of normal sampling errors, the sampling error
 distribution is estimated with a Gaussian process to accommodate a broader
 class of distributions. This flexibility is most useful in the presence of
 bounded, multi-modal, or heavily skewed sampling errors.

Package: r-cran-agghoo
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-class, r-cran-r6, r-cran-rpart, r-cran-fnn
Suggests: r-cran-roxygen2, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-agghoo_0.1-0-1.ca2004.1_all.deb
Size: 120880
MD5sum: ea31b9bb2c9685bd13137186153eb425
SHA1: 7ef691c2a7d98e4f5900168e3328e228d0d36f0f
SHA256: 9d11b1a1942c18baf74b322d8e2db37fb5fd6c3733216d6d0720737babf551e9
SHA512: 4443c7e6768870f90b53263f84599f16accd38e1e57cb3c1693b305c2db3b74f39397d583ea88028a9b4e8825d92c540495fe1e67e245b4f388bf6eb05f0f150
Homepage: https://cran.r-project.org/package=agghoo
Description: CRAN Package 'agghoo' (Aggregated Hold-Out Cross Validation)
 The 'agghoo' procedure is an alternative to usual cross-validation.  Instead
 of choosing the best model trained on V subsamples, it determines a winner
 model for each subsample, and then aggregates the V outputs.  For the
 details, see "Aggregated hold-out" by Guillaume Maillard, Sylvain Arlot,
 Matthieu Lerasle (2021) <arXiv:1909.04890> published in Journal of Machine
 Learning Research 22(20):1--55.

Package: r-cran-aggrecat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1607
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-gofkernel, r-cran-purrr, r-cran-r2jags, r-cran-coda, r-cran-precrec, r-cran-mathjaxr, r-cran-cli, r-cran-vgam, r-cran-crayon, r-cran-dplyr, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2, r-cran-insight, r-cran-desctools, r-cran-mlmetrics
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-pointblank, r-cran-janitor, r-cran-qualtrics, r-cran-here, r-cran-readxl, r-cran-readr, r-cran-lubridate, r-cran-forcats, r-cran-ggforce, r-cran-ggpubr, r-cran-ggridges, r-cran-rjags, r-cran-tidybayes, r-cran-tidyverse, r-cran-usethis, r-cran-nlme, r-cran-gt, r-cran-gtextras, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-aggrecat_1.0.0-1.ca2004.1_all.deb
Size: 1518680
MD5sum: 8dce9249f94d940b730f4d3ad4976a2f
SHA1: 73bbbcb905637fe4382dc7910b753ebb641ad8af
SHA256: 69de7d11d995f36335f210e1dfb6bd90c8645c8944189d98de9f9b515261b2b3
SHA512: 2e1d9926981bd7e499f9444e968dc4be609a634cf1391a062aac21bab064c49e7dfcdb046c11748c9246738c7fae63502f008fddb0653da8ffde6dd26257ff6a
Homepage: https://cran.r-project.org/package=aggreCAT
Description: CRAN Package 'aggreCAT' (Mathematically Aggregating Expert Judgments)
 The use of structured elicitation to inform decision making has grown
 dramatically in recent decades, however, judgements from multiple experts
 must be aggregated into a single estimate. Empirical evidence suggests that
 mathematical aggregation provides more reliable estimates than enforcing
 behavioural consensus on group estimates. 'aggreCAT' provides
 state-of-the-art mathematical aggregation methods for elicitation data
 including those defined in Hanea, A. et al. (2021)
 <doi:10.1371/journal.pone.0256919>. The package also provides functions to
 visualise and evaluate the performance of your aggregated estimates on
 validation data.

Package: r-cran-aggregater
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-tibble, r-cran-ncmisc
Filename: pool/dists/focal/main/r-cran-aggregater_0.1.1-1.ca2004.1_all.deb
Size: 35968
MD5sum: 2360a2dfdd83afa5f63227da3293d7ec
SHA1: 6d9b96c050d0d78ff6c142dba9baed642805f52b
SHA256: a7ff248a3348b26f1bf19af851b3de9344da14db57c4e2ec26d9aafb35b8707e
SHA512: 3353403a6db84b43b282bcc48f45beb793f6e784b9aeecbaa34a58b2c1f0993f0bd05fbec3ee3da445758ce89f056419cb466f7a9f94c5856dbebc65aac524cc
Homepage: https://cran.r-project.org/package=AggregateR
Description: CRAN Package 'AggregateR' (Aggregate Numeric, Date and Categorical Variables)
 Convenience functions for aggregating a data frame or data table.  Currently
 mean, sum and variance are supported. For Date variables, the recency and
 duration are supported. There is also support for dummy variables in
 predictive contexts. Code has been completely re-written in data.table for
 computational speed.

Package: r-cran-aggregation
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aggregation_1.0.1-1.ca2004.1_all.deb
Size: 15452
MD5sum: c353b0e87ff09fc93f0173eceeb99696
SHA1: 844d173cbdbaeef00a3bac9604c0af66df396d00
SHA256: 89f8f0b40d7fb3b00f4757875e0e6620c48c4983d8cd923b1785ea128757ef42
SHA512: 4e1fc1cb099a3585cd9cf6888acc07c3dc05a59d736808673820c64f4c7cb5ec1781303689ab08dcbc36fb7b9e2b54068a279c96ce8322859c91eca78f148153
Homepage: https://cran.r-project.org/package=aggregation
Description: CRAN Package 'aggregation' (p-Value Aggregation Methods)
 Contains functionality for performing the following methods of p-value
 aggregation: Fisher's method [Fisher, RA (1932, ISBN: 9780028447308)], the
 Lancaster method (weighted Fisher's method) [Lancaster, HO (1961,
 <doi:10.1111/j.1467-842X.1961.tb00058.x>)], and Sidak correction [Sidak, Z
 (1967, <doi:10.1080/01621459.1967.10482935>)].  Please cite Yi et al., the
 manuscript corresponding to this package [Yi, L et al., (2017),
 <doi:10.1101/190199>].

Package: r-cran-aggtrees
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-broom, r-cran-car, r-cran-caret, r-cran-estimatr, r-cran-grf, r-cran-rpart, r-cran-rpart.plot, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aggtrees_2.1.0-1.ca2004.1_all.deb
Size: 659732
MD5sum: f17b5b226fa70592de9966110c9567ca
SHA1: 6301f6a45ef35b3e68b65f44234630105dcd33f5
SHA256: 18bf1ba63946510d5ca79de1e4b4d7a9b3785b2bd0a65a4f18716e0dbf8e1e2c
SHA512: a1efebe227ec037821d1511a9adece87f2e98eef8c4418066df78ba50e2a4d3b2aeb6880d909d8fb15313f088f5a54df6669a4e50c73ee5d2bec12f136fa6a13
Homepage: https://cran.r-project.org/package=aggTrees
Description: CRAN Package 'aggTrees' (Aggregation Trees)
 Nonparametric data-driven approach to discovering heterogeneous subgroups in
 a selection-on-observables framework.  'aggTrees' allows researchers to
 assess whether there exists relevant heterogeneity in treatment effects by
 generating a sequence of optimal groupings, one for each level of
 granularity. For each grouping, we obtain point estimation and inference
 about the group average treatment effects.  Please reference the use as Di
 Francesco (2022) <doi:10.2139/ssrn.4304256>.

Package: r-cran-aggutils
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-docstring
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aggutils_1.0.2-1.ca2004.1_all.deb
Size: 24936
MD5sum: b274826cb8597a5af2c5828314942272
SHA1: 65b44a2c98d07ce1b9d3a603031817eb360c6059
SHA256: ea891ba867f11980b5214c9d9b254d408a61766ff28fa5a873f70d5c7d750763
SHA512: 7f3cd538d278cd25172f9b042bc310e1d79f6741a324a65bf191e46930e90e1d45f10659574036ec81f8e6c1630b4816741cb72a4e31842993be9ffcacc9f14d
Homepage: https://cran.r-project.org/package=aggutils
Description: CRAN Package 'aggutils' (Utilities for Aggregating Probabilistic Forecasts)
 Provides several methods for aggregating probabilistic forecasts. You have a
 group of people who have made probabilistic forecasts for the same event.
 You want to take advantage of the "wisdom of the crowd" and combine these
 forecasts in some sensible way. This package provides implementations of
 several strategies, including geometric mean of odds, an extremized
 aggregate (Neyman, Roughgarden (2021) <doi:10.1145/3490486.3538243>), and
 "high-density trimmed mean" (Powell et al. (2022) <doi:10.1037/dec0000191>).

Package: r-cran-aghmatrix
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2293
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-zoo
Suggests: r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aghmatrix_2.1.4-1.ca2004.1_all.deb
Size: 2138252
MD5sum: 0883ae1c7ea602bbdceb1fe8d91de790
SHA1: d1f507fc0335e06029462e9deba62ad14bf2833b
SHA256: 9164944fccdf16fcf8ee552c5e4cf759850f6384e87b5299c7adaa832e2833e0
SHA512: 3cfa31fce4c4b6663b181cfc026f3ba8503bc5f63e1092591db404159eab066a325ae19996e4eebb2426590f194baea898164482ba08618fabd79a1f803a9cf2
Homepage: https://cran.r-project.org/package=AGHmatrix
Description: CRAN Package 'AGHmatrix' (Relationship Matrices for Diploid and Autopolyploid Species)
 Computation of A (pedigree), G (genomic-base), and H (A corrected by G)
 relationship matrices for diploid and autopolyploid species. Several methods
 are implemented considering additive and non-additive models.

Package: r-cran-aghq
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvquad, r-cran-matrix, r-cran-rlang, r-cran-polynom, r-cran-numderiv
Suggests: r-cran-trustoptim, r-cran-trust, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aghq_0.4.1-1.ca2004.1_all.deb
Size: 316600
MD5sum: 91a727ec79191829e733afe0e8cc2fb2
SHA1: a82d929c0acab1cdb7aac6c816bb0948dd90d4a8
SHA256: c4d2071e2bf2cd4fe56bb29ffb2f131c5b605e4281bb16eb39b7341ac16b0913
SHA512: b157025bb514eb8cdcb9034a5175999a93986bf70ca0486bc746a5b5164d74663ee744cdd1d40f49f5ccd36361bf7f721d586d61d288f38c04445a3898335783
Homepage: https://cran.r-project.org/package=aghq
Description: CRAN Package 'aghq' (Adaptive Gauss Hermite Quadrature for Bayesian Inference)
 Adaptive Gauss Hermite Quadrature for Bayesian inference.  The AGHQ method
 for normalizing posterior distributions and making Bayesian inferences based
 on them. Functions are provided for doing quadrature and marginal Laplace
 approximations, and summary methods are provided for making inferences based
 on the results.  See Stringer (2021). "Implementing Adaptive Quadrature for
 Bayesian Inference: the aghq Package" <arXiv:2101.04468>.

Package: r-cran-aglm
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-assertthat, r-cran-mathjaxr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-faraway
Filename: pool/dists/focal/main/r-cran-aglm_0.4.1-1.ca2004.1_all.deb
Size: 121060
MD5sum: 734f4de6d1e3ad04daa4898a0423fa9e
SHA1: ac0f73f8e4931dee4d5eefe4da7fec78cfae79ff
SHA256: 7288a94c73a4e93bd59c6521224273c4c83785bfa0b5559b80f3de10f7a8220d
SHA512: 7b0eed750c3f456626e90c84e235cc46e89a853fa3cbfc4d94931574f62a73452e9515441fa4a35def471082e8b77795d8bac9e7973b093a32dfba61922c39ce
Homepage: https://cran.r-project.org/package=aglm
Description: CRAN Package 'aglm' (Accurate Generalized Linear Model)
 Provides functions to fit Accurate Generalized Linear Model (AGLM) models,
 visualize them, and predict for new data. AGLM is defined as a regularized
 GLM which applies a sort of feature transformations using a discretization
 of numerical features and specific coding methodologies of dummy variables.
 For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo
 and Hirokazu Iwasawa (2020)
 <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.

Package: r-cran-agpower
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-agpower_0.1.2-1.ca2004.1_all.deb
Size: 91888
MD5sum: 6358e4787b72ce8ead35bb9da4ba16e3
SHA1: ef1efaf2e50b0bf8fee08bef4e8799399b72fb80
SHA256: 33e019bc4d0b3efef94ec9c391f5331d6b53c1215e49d5a997a23f9f1659f52f
SHA512: ce00917ad4024ce4cdc63f7f947f281f086a179478bf56a62ba2cfad0c2253e94bcc46daa802583e3f55c0ca918510a60079e1f6c86594ec8816ceb7d16e365b
Homepage: https://cran.r-project.org/package=agpower
Description: CRAN Package 'agpower' (Recurrent Event Analysis Planning for Robust Andersen-Gill Model)
 Power and associated functions useful in prospective planning and monitoring
 of a clinical trial when a recurrent event endpoint is to be assessed by the
 robust Andersen-Gill model, see Lin, Wei, Yang, and Ying (2010)
 <doi:10.1111/1467-9868.00259>. The equations developed in Ingel and
 Jahn-Eimermacher (2014) <doi:10.1002/bimj.201300090> and their consequences
 are employed.

Package: r-cran-agpris
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1285
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-plyr, r-cran-sp, r-cran-spdep, r-cran-spacetime, r-cran-matrixcalc, r-cran-maxlik
Suggests: r-cran-terra
Filename: pool/dists/focal/main/r-cran-agpris_2.0-1.ca2004.1_all.deb
Size: 1258604
MD5sum: dec5278d12c6cc8d36c9f97231faf94b
SHA1: 45833c863c35989ce4d89ac0242159b0836d9228
SHA256: d4a15ea86185a198ba171f792a80ea45b7b5aa9b44082e9eea07265af5c21fbb
SHA512: 8eea398894d2a4cd96e6bdebab1875fd3310325916b807ec39b8a4bef0e08f7a7b7ebb6c3a04aef00cdb528754a92fe526e2b9bee853e34f310c1acb95f532a0
Homepage: https://cran.r-project.org/package=AGPRIS
Description: CRAN Package 'AGPRIS' (AGricultural PRoductivity in Space)
 Functionalities to simulate space-time data and to estimate dynamic-spatial
 panel data models.  Estimators implemented are the BCML (Elhorst (2010),
 <doi:10.1016/j.regsciurbeco.2010.03.003>), the MML (Elhorst (2010)
 <doi:10.1016/j.regsciurbeco.2010.03.003>) and the INLA Bayesian estimator
 (Lindgren and Rue, (2015) <doi:10.18637/jss.v063.i19>; Bivand, Gomez-Rubio
 and Rue, (2015) <doi:10.18637/jss.v063.i20>) adapted to panel data. The
 package contains functions to replicate the analyses of the scientific
 article entitled "Agricultural Productivity in Space" (Baldoni and Esposti
 (2021), <doi:10.1111/ajae.12155>)).

Package: r-cran-agree
Architecture: all
Version: 0.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-miscf, r-cran-lme4, r-cran-r2jags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-agree_0.5-3-1.ca2004.1_all.deb
Size: 71044
MD5sum: a4b13381006fcb9a093d1cbd6470bfc3
SHA1: 0fc1003751e8d37bef4954b3a81d34ac500895c4
SHA256: cfbb8a6c7e7d0364717305a3fbdaebd0151f506e5cac515e9c36cf8324786a67
SHA512: 5809bb7f72e39b8a5f9eacc53dd75d02ded7f67790cce13a65b3e021e9606fb0db2d62acf5f3bfba0ef9391515b059b5cf8c8a60a7c1a2632e6e965e8d083eb9
Homepage: https://cran.r-project.org/package=agRee
Description: CRAN Package 'agRee' (Various Methods for Measuring Agreement)
 Bland-Altman plot and scatter plot with identity line for visualization and
 point and interval estimates for different metrics related to
 reproducibility/repeatability/agreement including the concordance
 correlation coefficient, intraclass correlation coefficient, within-subject
 coefficient of variation, smallest detectable difference, and mean
 normalized smallest detectable difference.

Package: r-cran-agreementinterval
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych
Suggests: r-cran-testthat, r-cran-mass, r-cran-matrix, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-agreementinterval_0.1.1-1.ca2004.1_all.deb
Size: 48924
MD5sum: 10bca3614aa8fbb265c08d4e9837b929
SHA1: ca87308ee82918607a9c8b0139aef01e6dd4b784
SHA256: 5c08e04f5dc9d73ace3645e23964ff731198573031f0e6655bf1a7335c80696b
SHA512: 0158e71aa132f3b307aa28f65c1b18352b5cdfc22454ddac25942e6fb8ceaab68673f78fd5e23e2940f50e576cd8da9f29f6bd6039598f2583371c5bb47ce348
Homepage: https://cran.r-project.org/package=AgreementInterval
Description: CRAN Package 'AgreementInterval' (Agreement Interval of Two Measurement Methods)
 A tool for calculating agreement interval of two measurement methods (Jason
 Liao (2015) <DOI:10.1515/ijb-2014-0030>) and present results in plots with
 discordance rate and/or clinically meaningful limit to quantify agreement
 quality.

Package: r-cran-agricolae
Architecture: all
Version: 1.3-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1472
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-cluster, r-cran-algdesign
Filename: pool/dists/focal/main/r-cran-agricolae_1.3-7-1.ca2004.1_all.deb
Size: 1171392
MD5sum: 65e02d86b64124ca4f761324a39691a6
SHA1: ec7172576a547bc1290bd9100599454c0f77dede
SHA256: 9e9e4d04dcf706e20045d63a0941a603e0f79d9507c265624e826b7136063917
SHA512: e15bad3fd085d5917042e1d17002dde8b228347eae0126402e185322381369f8fad9bd165f5ad842773267405b33ed11e4770fcce3bf124e050e3834d22a1d03
Homepage: https://cran.r-project.org/package=agricolae
Description: CRAN Package 'agricolae' (Statistical Procedures for Agricultural Research)
 Original idea was presented in the thesis "A statistical analysis tool for
 agricultural research" to obtain the degree of Master on science, National
 Engineering University (UNI), Lima-Peru. Some experimental data for the
 examples come from the CIP and others research. Agricolae offers extensive
 functionality on experimental design especially for agricultural and plant
 breeding experiments, which can also be useful for other purposes. It
 supports planning of lattice, Alpha, Cyclic, Complete Block, Latin Square,
 Graeco-Latin Squares, augmented block, factorial, split and strip plot
 designs. There are also various analysis facilities for experimental data,
 e.g. treatment comparison procedures and several non-parametric tests
 comparison, biodiversity indexes and consensus cluster.

Package: r-cran-agricolaeplotr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3548
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-agricolae, r-cran-raster, r-cran-sp, r-cran-fieldhub, r-cran-tibble, r-cran-sf, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-stplanr, r-cran-ggspatial
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-agricolaeplotr_0.6.1-1.ca2004.1_all.deb
Size: 2303284
MD5sum: a25f1e98b278780b2ea7fe7d2e2d8733
SHA1: fe2cf21db76b877fe5491734de5e1ed354009f8b
SHA256: 305bac0b0fa11a1a5eea20b4aeac7a75fa6362625d92ab718daf4f32a77e6a6c
SHA512: d9511fb872d813eedbbdb31690528627e56196fb08b4dec8f6b68bc97ba396bb6108d2807829f79a286108d51faf54d78a7f737da936dc37031d0b0dd48499d7
Homepage: https://cran.r-project.org/package=agricolaeplotr
Description: CRAN Package 'agricolaeplotr' (Visualization of Design of Experiments from the 'agricolae'Package)
 Visualization of Design of Experiments from the 'agricolae' package with
 'ggplot2' framework The user provides an experiment design from the
 'agricolae' package, calls the corresponding function and will receive a
 visualization with 'ggplot2' based functions that are specific for each
 design. As there are many different designs, each design is tested on its
 type.  The output can be modified with standard 'ggplot2' commands or with
 other packages with 'ggplot2' function extensions.

Package: r-cran-agridat
Architecture: all
Version: 1.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3853
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-aer, r-cran-agricolae, r-cran-betareg, r-cran-broom, r-cran-car, r-cran-coin, r-cran-corrgram, r-cran-desplot, r-cran-dplyr, r-cran-effects, r-cran-emmeans, r-cran-equivalence, r-cran-frf2, r-cran-gam, r-cran-gge, r-cran-ggplot2, r-cran-gnm, r-cran-gstat, r-cran-hh, r-cran-knitr, r-cran-lattice, r-cran-latticeextra, r-cran-lme4, r-cran-lucid, r-cran-mapproj, r-cran-maps, r-cran-mass, r-cran-mcmcglmm, r-cran-metafor, r-cran-mgcv, r-cran-nada, r-cran-nlme, r-cran-nullabor, r-cran-ordinal, r-cran-pbkrtest, r-cran-pls, r-cran-pscl, r-cran-qicharts, r-cran-qtl, r-cran-reshape2, r-cran-rmarkdown, r-cran-sp, r-cran-spats, r-cran-survival, r-cran-testthat, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-agridat_1.24-1.ca2004.1_all.deb
Size: 3224532
MD5sum: 75bea0390b5c8ddca1fe9c6ed0c02a73
SHA1: 166ac64070b9483fbd538de59d8dd4dfd2bb3583
SHA256: 15d50a57af2cd34a0712df55c061fc084a75bbb284f20e984c8e64942e390bd0
SHA512: 570301b206924842fd2eb5abf12e935135b6b0cb8084553e4c6bae96d5ccaea1578554f37d36f08d3d9e7f2a67c38453021810a614811cdb314e3cec8fe0519b
Homepage: https://cran.r-project.org/package=agridat
Description: CRAN Package 'agridat' (Agricultural Datasets)
 Datasets from books, papers, and websites related to agriculture.  Example
 graphics and analyses are included. Data come from small-plot trials,
 multi-environment trials, uniformity trials, yield monitors, and more.

Package: r-cran-agrifeature
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-agrifeature_1.0.3-1.ca2004.1_all.deb
Size: 24440
MD5sum: 6a6766e18998a64b7bd84e1f83220e83
SHA1: c48a9d702898d566481a72556f881e3a3396ff30
SHA256: 87735c96f1bb752141c149770dc1a947bf283b8e20188a7bf5bea8010a3711b1
SHA512: 67b4349fada102a442dded2136f127bc716febb25dd0a483bff9c36cbafe11ab445c69d9802f29d0a32792760a768ba22078a434192a1361e39f66b2f733fb29
Homepage: https://cran.r-project.org/package=agrifeature
Description: CRAN Package 'agrifeature' (Agriculture Image Feature)
 Functions to calculate Gray Level Co-occurrence Matrix(GLCM), RGB-based
 Vegetative Index(RGB VI) and Normalized Difference Vegetation Index(NDVI)
 family image features. GLCM calculations are based on Haralick (1973)
 <doi:10.1109/TSMC.1973.4309314>.

Package: r-cran-agritutorial
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmertest, r-cran-emmeans, r-cran-pbkrtest, r-cran-lattice, r-cran-nlme, r-cran-ggplot2
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-agritutorial_0.1.5-1.ca2004.1_all.deb
Size: 295136
MD5sum: c7d685166e8a73a2eb6c497955cbb85f
SHA1: c3ec675edf8cb77a8d275b5956ad21cf06143cfd
SHA256: f243379c80eff636818232da134cd1d4b8b7b1899a5e7a0468bc2b4bcf06474d
SHA512: 946d06f8e59078048ff1a0f5ab1089eef3888dbccb498afddda9fa306e8c3021069562066fec7c593d919bc2fb783cd34c464bb3be0df1413d4375d11e40a997
Homepage: https://cran.r-project.org/package=agriTutorial
Description: CRAN Package 'agriTutorial' (Tutorial Analysis of Some Agricultural Experiments)
 Example software for the analysis of data from designed experiments,
 especially agricultural crop experiments. The basics of the analysis of
 designed experiments are discussed using real examples from agricultural
 field trials.  A range of statistical methods using a range of R statistical
 packages are exemplified . The experimental data is made available as
 separate data sets for each example and the R analysis code is made
 available as example code.  The example code can be readily extended, as
 required.

Package: r-cran-agriutilities
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2367
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-psych, r-cran-dplyr, r-cran-tidyr, r-cran-lme4, r-cran-matrix, r-cran-ggpubr, r-cran-lmertest, r-cran-data.table, r-cran-magrittr, r-cran-emmeans, r-cran-ggrepel, r-cran-tibble, r-cran-rlang, r-cran-statgensta, r-cran-spats
Suggests: r-cran-knitr, r-cran-lattice, r-cran-cluster, r-cran-rmarkdown, r-cran-agridat, r-cran-gt
Filename: pool/dists/focal/main/r-cran-agriutilities_1.2.1-1.ca2004.1_all.deb
Size: 1605484
MD5sum: e078dd60dd8bdb5f693bd1216ecded5b
SHA1: 74662c33296b3f727f252299cbbd22e8c5c0ca68
SHA256: 15cc731166b42dd3331fe1dab81fb0de3acca36db2bebfad9cdc5c450e2e121f
SHA512: 5c52454a8f20140581267fac4e97580c27dddacd9397f85a947580485f01ed5d1b3585fac07d1d9f9a88c51ebb86daee6627163465a416dd9b1bbc00c25fefa4
Homepage: https://cran.r-project.org/package=agriutilities
Description: CRAN Package 'agriutilities' (Utilities for Data Analysis in Agriculture)
 Utilities designed to make the analysis of field trials easier and more
 accessible for everyone working in plant breeding. It provides a simple and
 intuitive interface for conducting single and multi-environmental trial
 analysis, with minimal coding required. Whether you're a beginner or an
 experienced user, 'agriutilities' will help you quickly and easily carry out
 complex analyses with confidence. With built-in functions for fitting Linear
 Mixed Models, 'agriutilities' is the ideal choice for anyone who wants to
 save time and focus on interpreting their results.  Some of the functions
 require the R package 'asreml' for the 'ASReml' software, this can be
 obtained upon purchase from 'VSN' international
 <https://vsni.co.uk/software/asreml-r/>.

Package: r-cran-agriwater
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-agriwater_1.0.2-1.ca2004.1_all.deb
Size: 300752
MD5sum: a3bb52f2bf2a098735c1e27a977d8dfc
SHA1: 3a1f29ec34bbf25d26bf915c63296f308264899e
SHA256: a1cea9240309c5a31a586cfd625ee79d4fdf0f079653c132cf30f1143ebff8b1
SHA512: 5ad09534e0bad2611671f3f31e1ba0eb5500a30c7ec16e7530466c11d9cbe23f8eefd99346b4a45cf60744a2882c60ef0688dfba4cfba5aa2f249b885d0d6cb7
Homepage: https://cran.r-project.org/package=agriwater
Description: CRAN Package 'agriwater' (Evapotranspiration and Energy Fluxes Spatial Analysis)
 Spatial modeling of energy balance and actual evapotranspiration using
 satellite images and meteorological data.  Options of satellite are:
 Landsat-8 (with and without thermal bands), Sentinel-2 and MODIS.
 Respectively spatial resolutions are 30, 100, 10 and 250 meters. User can
 use data from a single meteorological station or a grid of meteorological
 stations (using any spatial interpolation method). Silva, Teixeira, and
 Manzione (2019) <doi:10.1016/j.envsoft.2019.104497>.

Package: r-cran-agrmt
Architecture: all
Version: 1.42.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-agrmt_1.42.12-1.ca2004.1_all.deb
Size: 381104
MD5sum: c8cac33968e79c9c84ec38a575cab3a6
SHA1: 0082c80724185ab8e83009e383639c03a81a93de
SHA256: 055eda49b25f880cf1654097e1b3fcd53129fe4f0ac70f276b902531c9a0e046
SHA512: d4f4983cf9da9f54ec997f036d0c2dcf276b5ea6ba02349ac1b97af80fcda6ac4d62b9bc2c3a64f2e731d0c535e962fc8dd161f718f65fcc279eb0bdcb9bd7e9
Homepage: https://cran.r-project.org/package=agrmt
Description: CRAN Package 'agrmt' (Calculate Concentration and Dispersion in Ordered Rating Scales)
 Calculates concentration and dispersion in ordered rating scales. It
 implements various measures of concentration and dispersion to describe what
 researchers variably call agreement, concentration, consensus, dispersion,
 or polarization among respondents in ordered data. It also implements other
 related measures to classify distributions. In addition to a generic
 city-block based concentration measure and a generic dispersion measure, the
 package implements various measures, including van der Eijk's (2001) <DOI:
 10.1023/A:1010374114305> measure of agreement A, measures of concentration
 by Leik, Tatsle and Wierman, Blair and Lacy, Kvalseth, Berry and Mielke,
 Reardon, and Garcia-Montalvo and Reynal-Querol. Furthermore, the package
 provides an implementation of Galtungs AJUS-system to classify
 distributions, as well as a function to identify the position of multiple
 modes.

Package: r-cran-agroclim
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-zoo, r-cran-abind, r-cran-raster, r-cran-ggpubr, r-cran-cowplot, r-cran-reshape, r-cran-ggforce, r-cran-ncdf4, r-cran-easyncdf, r-cran-sp, r-cran-multiapply
Filename: pool/dists/focal/main/r-cran-agroclim_0.3.0-1.ca2004.1_all.deb
Size: 166436
MD5sum: de330fe5c068a23c9987dbd1cbc94258
SHA1: 694b9d9095c11d0dffa62ce5ddbfb2499d8a27f2
SHA256: f83ebe4c3bc323b57a257b62628a57a6e186df6e8f3a1ce78dfa919e5311764f
SHA512: 132afbd153e2da6fefdc1d78326ced6595883c915596cf384b21af0882b38fdb26211a4204ff3bb1a8e6c1dbbf49ce3635365625e89a98d78beb34dd097ef7e8
Homepage: https://cran.r-project.org/package=agroclim
Description: CRAN Package 'agroclim' (Climatic Indices for Agriculture)
 Collection of functions to compute agroclimatic indices useful to zoning
 areas based on climatic variables and to evaluate the importance of
 temperature and precipitation for individual crops, or in general for
 agricultural lands.

Package: r-cran-agror
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1624
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-ggplot2, r-cran-nortest, r-cran-lme4, r-cran-crayon, r-cran-lmtest, r-cran-emmeans, r-cran-multcomp, r-cran-ggrepel, r-cran-mass, r-cran-cowplot, r-cran-multcompview, r-cran-rcolorbrewer, r-cran-drc, r-cran-dunn.test, r-cran-gtools, r-cran-gridextra
Suggests: r-cran-dt, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-agror_1.3.6-1.ca2004.1_all.deb
Size: 1574136
MD5sum: 6dd5349e327c51d42833f1fe74b4fd98
SHA1: 99a7c8883e4f1a3bb43d55a12ee65376e04df837
SHA256: a1ab1d9b4a13d0d6c7e5f32e7d347f9653bbc2c44f55623cf8996797431ee7e0
SHA512: e94c52f6b8aa536fd34847018aa20a68baafa33796dea982e5ba32bc87ab8e9c269de8022cae8507391b5cfc808adcc1e834ce8c8cbcbd894ff1549e061a4f4e
Homepage: https://cran.r-project.org/package=AgroR
Description: CRAN Package 'AgroR' (Experimental Statistics and Graphics for Agricultural Sciences)
 Performs the analysis of completely randomized experimental designs (CRD),
 randomized blocks (RBD) and Latin square (LSD), experiments in double and
 triple factorial scheme (in CRD and RBD), experiments in subdivided plot
 scheme (in CRD and RBD), subdivided and joint analysis of experiments in CRD
 and RBD, linear regression analysis, test for two samples. The package
 performs analysis of variance, ANOVA assumptions and multiple comparison
 test of means or regression, according to Pimentel-Gomes (2009, ISBN:
 978-85-7133-055-9), nonparametric test (Conover, 1999, ISBN: 0471160687),
 test for two samples, joint analysis of experiments according to Ferreira
 (2018, ISBN: 978-85-7269-566-4) and generalized linear model (glm) for
 binomial and Poisson family in CRD and RBD (Carvalho, FJ (2019),
 <doi:10.14393/ufu.te.2019.1244>). It can also be used to obtain descriptive
 measures and graphics, in addition to correlations and creative graphics
 used in agricultural sciences (Agronomy, Zootechnics, Food Science and
 related areas).

Package: r-cran-agroreg
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-drc, r-cran-ggplot2, r-cran-boot, r-cran-minpack.lm, r-cran-dplyr, r-cran-rcompanion, r-cran-broom, r-cran-egg, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-agroreg_1.2.10-1.ca2004.1_all.deb
Size: 629968
MD5sum: 8404d8e8a50f5932c883367693bf2dba
SHA1: 1583ea53ab8f3e49d854ea11593b2b04379770b3
SHA256: dfdd81c617db8068982c160a894fe2e0093a06761e8004ab0a8378fc840ed985
SHA512: b7f3bb76142e3774a7b63d4a3a6bd395b659a90f695f5aced523aedef6c7e292c73c370d9b6d5a9b0e00645966e62ed531cb66355734fa513424a62543f57d27
Homepage: https://cran.r-project.org/package=AgroReg
Description: CRAN Package 'AgroReg' (Regression Analysis Linear and Nonlinear for Agriculture)
 Linear and nonlinear regression analysis common in agricultural science
 articles (Archontoulis & Miguez (2015). <doi:10.2134/agronj2012.0506>). The
 package includes polynomial, exponential, gaussian, logistic, logarithmic,
 segmented, non-parametric models, among others. The functions return the
 model coefficients and their respective p values, coefficient of
 determination, root mean square error, AIC, BIC, as well as graphs with the
 equations automatically.

Package: r-cran-agrostab
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-agrostab_0.1.0-1.ca2004.1_all.deb
Size: 90872
MD5sum: fc168f17abb0db4ed0064095d0ecf7ed
SHA1: 3662a86935a4c300d81bf3c7b7798d0e47ebc5ca
SHA256: 104b2508ad171360b0812e9d20db2f85c8971c133a84b2eed808f152b40d1981
SHA512: dba3321f820de216a1e738057890a2c9e1c3d315f2a1027f867d1d7202236690accb54b2049fe423a920d1a268aaacde48c5a79889d33cba1cbee959e2f639ce
Homepage: https://cran.r-project.org/package=agrostab
Description: CRAN Package 'agrostab' (Stability Analysis for Agricultural Research)
 Statistical procedures to perform stability analysis in plant breeding and
 to identify stable genotypes under diverse environments. It is possible to
 calculate coefficient of homeostaticity by Khangildin et al. (1979),
 variance of specific adaptive ability by Kilchevsky&Khotyleva (1989),
 weighted homeostaticity index by Martynov (1990), steadiness of stability
 index by Udachin (1990), superiority measure by Lin&Binn (1988)
 <doi:10.4141/cjps88-018>, regression on environmental index by
 Erberhart&Rassel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>,
 Tai's (1971) stability parameters
 <doi:10.2135/cropsci1971.0011183X001100020006x>, stability variance by
 Shukla (1972) <doi:10.1038/hdy.1972.87>, ecovalence by Wricke (1962),
 nonparametric stability parameters by Nassar&Huehn (1987)
 <doi:10.2307/2531947>, Francis&Kannenberg's parameters of stability (1978)
 <doi:10.4141/cjps78-157>.

Package: r-cran-agrotech
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-xlsx, r-cran-readxl, r-cran-ggrepel, r-cran-nortest, r-cran-lmtest, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-agrotech_1.0.2-1.ca2004.1_all.deb
Size: 253256
MD5sum: 5c852769ec6e6b9f3c9b3eba0670cb87
SHA1: fda0d912229246bf0050863c984860166399cbf5
SHA256: 183dc6471d9ecf82c93d1683cc8b800e20e6fe1ccc374bc001b5feeef6c8e522
SHA512: d1cbfa30360e1b017a990699af1874ff47fab4a829f2cae5185fe4ad9f92cb8a336a723495585edd20cc911f93797eec378399bb3b2507779d3172d6923fad56
Homepage: https://cran.r-project.org/package=AgroTech
Description: CRAN Package 'AgroTech' (Data Analysis of Pesticide Application Technology)
 In total it has 7 functions, three for calculating machine calibration,
 which determine application rate (L/ha), nozzle flow (L/min) and amount of
 product (L or kg) to be added. to the tank with each sprayer filling. Two
 functions for graphs of the flow distribution of the nozzles (L/min) in the
 application bar and, of the temporal variability of the meteorological
 conditions (air temperature, relative humidity of the air and wind speed).
 Two functions to determine the spray deposit (uL/cm2), through the
 methodology called spectrophotometry, with the aid of bright blue
 (Palladini, L.A., Raetano, C.G., Velini, E.D. (2005),
 <doi:10.1590/S0103-90162005000500005>) or metallic markers (Chaim, A.,
 Castro, V.L.S.S., Correles, F.M., Galvão, J.A.H., Cabral, O.M.R., Nicolella,
 G. (1999), <doi:10.1590/S0100-204X1999000500003>). The package supports the
 analysis and representation of information, using a single free software
 that meets the most diverse areas of activity in application technology.

Package: r-cran-ags
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ags_1.0.1-1.ca2004.1_all.deb
Size: 388104
MD5sum: 004447ecbea3f472d78c78ea797aa7bc
SHA1: 96c549f5225d1d81ee9cf0fe3b7abccdbaf8795e
SHA256: 2381a90690cb652f9f72a45d270c4fbd0169fdc57e5b38c12ebfca5c6f4a97bc
SHA512: 6338b1f66496126fb6164d16dc3acb797043ebb87f3ab6b9dfd89a6ef17c0123e14bb7400d047fb3ae0d4f833356f3504fd5af0983a7a18f0b457985135d6f80
Homepage: https://cran.r-project.org/package=ags
Description: CRAN Package 'ags' (Crosswalk Municipality and District Statistics in Germany)
 Construct time series for Germany's municipalities (Gemeinden) and districts
 (Kreise) using a annual crosswalk constructed by the Federal Office for
 Building and Regional Planning (BBSR).

Package: r-cran-agsemisc
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-mass
Filename: pool/dists/focal/main/r-cran-agsemisc_1.3-1-1.ca2004.1_all.deb
Size: 80776
MD5sum: 118ed50aac71184a0c3b4a25ea55acd1
SHA1: addb13234f149e76e9c97e3c3edebd4058c5accc
SHA256: 3d041acea9415a0b4dbd5dff10c0527f362cd9e7f068410a586b7b259672dbf1
SHA512: f965c6b5d0f84fd28b8987dea680076ba3b35a8d693911f4f39f9a71c1fddb87f23fcce3fbc0493dac46d6ac45d76bdeb23d3ebf50c28033710cbf85cbd2fcee
Homepage: https://cran.r-project.org/package=agsemisc
Description: CRAN Package 'agsemisc' (Miscellaneous plotting and utility functions)
 High-featured panel functions for bwplot and xyplot, some plot management
 helpers, various convenience functions

Package: r-cran-agua
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-parsnip, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-glue, r-cran-h2o, r-cran-hardhat, r-cran-pkgconfig, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-vctrs, r-cran-workflows
Suggests: r-cran-covr, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-agua_0.1.4-1.ca2004.1_all.deb
Size: 234168
MD5sum: d6e7426892b681b46900b8b1f9ba3cf9
SHA1: 7cba4d02fbfef11cfdc02229485503e3a80696ba
SHA256: 3a3d1b6e8aa2df933c9b69e0ea4ced92460a4af0ea273035b2dbeb93a5b35e1d
SHA512: 352466d5cd16aa7fe720a70276025ae5c75231ec3f1cead14c34134e9efa4e5889e348ad52c43f6d6bfd7cd23266a16e2ecda7cd9afc235b261bcdfee3ad1339
Homepage: https://cran.r-project.org/package=agua
Description: CRAN Package 'agua' ('tidymodels' Integration with 'h2o')
 Create and evaluate models using 'tidymodels' and 'h2o' <https://h2o.ai/>.
 The package enables users to specify 'h2o' as an engine for several modeling
 methods.

Package: r-cran-agvgd
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1817
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-grantham, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-seqinr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-agvgd_0.1.2-1.ca2004.1_all.deb
Size: 1377428
MD5sum: 0c176dea3da73c7c55413773526e19ee
SHA1: ba7f2206b091561c71bf791cc5946451abe32f10
SHA256: 1e48b3db5d3e7454ac2bb9ac4590e7d37c719ec0d2f277dc7bb1e214cb8e41c0
SHA512: bd984e1301b55081eb211050e087675e1e21e63e4f275cb1c6773e7c1eada15c589708ec0fe2549cb3b3b3394f1bcd90c79bab90494b5e0a968583b2f5c49d12
Homepage: https://cran.r-project.org/package=agvgd
Description: CRAN Package 'agvgd' (An R Implementation of the 'Align-GVGD' Method)
 'Align-GVGD' ('A-GVGD') is a method to predict the impact of 'missense'
 substitutions based on the properties of amino acid side chains and protein
 multiple sequence alignments <doi:10.1136/jmg.2005.033878>. 'A-GVGD' is an
 extension of the original 'Grantham' distance to multiple sequence
 alignments. This package provides an alternative R implementation to the web
 version found on <http://agvgd.hci.utah.edu/>.

Package: r-cran-ahm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3808
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-glmnet, r-cran-mixexp, r-cran-plgp, r-cran-devtools, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-partitions
Filename: pool/dists/focal/main/r-cran-ahm_1.0.1-1.ca2004.1_all.deb
Size: 116784
MD5sum: 4f1d6793872d70a09cd0faeb60733896
SHA1: 2d4f7e2782d056359850dd62922956c48dd0d356
SHA256: cc63b09512b8a595b4382ba02053cb4f77ca05f62b27abc392fce1eec3c0cefd
SHA512: 2f889a957f4bf4e3229ab57a5fc0d967410d229c8fa15e101e5b1eef27f35fca3a320bce75956b545212f1dcc6423ff55e1c55ce1bfb081a826536591fe2bae2
Homepage: https://cran.r-project.org/package=AHM
Description: CRAN Package 'AHM' (Additive Heredity Model: Method for the Mixture-of-MixturesExperiments)
 An implementation of the additive heredity model for the mixture-of-mixtures
 experiments of Shen et al. (2019) in Technometrics
 <doi:10.1080/00401706.2019.1630010>. The additive heredity model considers
 an additive structure to inherently connect the major components with the
 minor components. The additive heredity model has a meaningful
 interpretation for the estimated model because of the hierarchical and
 heredity principles applied and the nonnegative garrote technique used for
 variable selection.

Package: r-cran-ahmbook
Architecture: all
Version: 0.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-unmarked, r-cran-mvtnorm
Suggests: r-cran-coda, r-cran-fields, r-cran-raster, r-cran-sp, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-ahmbook_0.2.10-1.ca2004.1_all.deb
Size: 2229164
MD5sum: 81a6f3369fb857e5efd26903719905f1
SHA1: 8fdd5eb03586c76d801de08245ad21b21edb310d
SHA256: 369da413ff60bd1884fd8dada9b665f5f9472c1e2abe0925adc2a160206dca4a
SHA512: 6f05995f47db7036ae182b6a4c7d8a4e913ffd933e637e613b8cd0403b3670e5d4cc37d28a692f5bcde1d26ff161710b619028a4279a0cf7d3a307fbcc5c8644
Homepage: https://cran.r-project.org/package=AHMbook
Description: CRAN Package 'AHMbook' (Functions and Data for the Book 'Applied Hierarchical Modelingin Ecology' Vols 1 and 2)
 Provides functions to simulate data sets from hierarchical ecological
 models, including all the simulations described in the two volume
 publication 'Applied Hierarchical Modeling in Ecology: Analysis of
 distribution, abundance and species richness in R and BUGS' by Marc Kéry and
 Andy Royle: volume 1 (2016, ISBN: 978-0-12-801378-6) and volume 2 (2021,
 ISBN: 978-0-12-809585-0),
 <https://www.mbr-pwrc.usgs.gov/pubanalysis/keryroylebook/>. It also has all
 the utility functions and data sets needed to replicate the analyses shown
 in the books.

Package: r-cran-ahnr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1602
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixcalc, r-cran-pracma, r-cran-purrr, r-cran-pdist, r-cran-ggplot2, r-cran-visnetwork, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ahnr_0.3.1-1.ca2004.1_all.deb
Size: 414760
MD5sum: bdca1af7e570c674fe7fd05c500dcdf0
SHA1: 455bc984d61b2851ddbdec9fea21b18471ccd5b5
SHA256: cfa331a471bbf33fd3e45c8163b7257ef491f502256190a0d5c8dabf2c4e8871
SHA512: abaa2276aa8cf84ee1603f556b8bafbdf6ee8d8659574f98c6815abcaa5535a5cf2f9ac52542e63f3069a9fb461861aba80a423500e5842323d57e6d361882c5
Homepage: https://cran.r-project.org/package=ahnr
Description: CRAN Package 'ahnr' (An Implementation of the Artificial Hydrocarbon Networks)
 Implementation of the Artificial Hydrocarbon Networks for data modeling.

Package: r-cran-ahpgaussian
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reshape2
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ahpgaussian_0.1.1-1.ca2004.1_all.deb
Size: 21292
MD5sum: 12d1a7f02cca86219f079318dc8edfd4
SHA1: ada611aaf4eb35649f84fe54b2089633bf34a86a
SHA256: 1a0d5dcdcff3ff97b29ee81650101235bf58ac9af0b8b2b305cb3a36a98a0ab3
SHA512: ee48d8a0477bdae10a657b7fa540b77fb817d5f76f2b091d8477e015215cc06bc77f28bee4f7ccef3f89be3556b257b77a5ec73ce014d9fc2b7c7a061c045d73
Homepage: https://cran.r-project.org/package=AHPGaussian
Description: CRAN Package 'AHPGaussian' (New Multicriteria Method: AHPGaussian)
 Implements the Analytic Hierarchy Process (AHP) method using Gaussian
 normalization (AHPGaussian) to derive the relative weights of the criteria
 and alternatives. It also includes functions for visualizing the results and
 generating graphical outputs. Method as described in: dos Santos, Marcos
 (2021) <doi:10.13033/ijahp.v13i1.833>.

Package: r-cran-ahphybrid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ahphybrid_0.1.0-1.ca2004.1_all.deb
Size: 19816
MD5sum: dd316161b88b63bfa0fe2c7665412b93
SHA1: 97a33919a9eb47aa26ad0f085933eac424ff465a
SHA256: cc5178e28146807a6c8c66426f0ef1a2200fbaa90851606710eb76bc2db92090
SHA512: c67850796a510e0f69308972d8bb7cf4c8c796cce84e796447c6b5e500c54563e2f1438f9138f44d1115522095a55348226522f05d1283536f09f77138f2c1a0
Homepage: https://cran.r-project.org/package=AHPhybrid
Description: CRAN Package 'AHPhybrid' (AHP Hybrid Method)
 The AHP method (Analytic Hierarchy Process) is a multi-criteria
 decision-making method addressing choice and outranking problems. The method
 enables to perform the analysis of alternatives in each type of criterion
 and then provides a global performance of each alternative in the decision
 context.  The main difference of this package is the possibility of
 evaluating the alternatives using quantitative data, by numerical
 representation, and qualitative data, using the Saaty scale, providing
 preference relation between variables by a pairwise evaluation.

Package: r-cran-ahpsurvey
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-magrittr, r-cran-knitr, r-cran-tidyr, r-cran-dplyr, r-cran-randomnames
Suggests: r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ahpsurvey_0.4.1-1.ca2004.1_all.deb
Size: 477828
MD5sum: b0870e1b8090252a39ced3deb617a875
SHA1: a145ce2e7787007a6891f9799b584b81097ee362
SHA256: fa15a94bc93c549fed6e2ffe2da5ce08fcbd6d3e4ef6dd9d3d3546113b13681b
SHA512: bca7b1c6a7eb8f2dc846ba410039372ba2207579e563c594c669b9dc016fae37f4e1302a6ffce7009ae57c14766fca6c8c3157afe2c5a70f3100a5cdea185168
Homepage: https://cran.r-project.org/package=ahpsurvey
Description: CRAN Package 'ahpsurvey' (Analytic Hierarchy Process for Survey Data)
 The Analytic Hierarchy Process is a versatile multi-criteria decision-making
 tool introduced by Saaty (1987) <doi:10.1016/0270-0255(87)90473-8> that
 allows decision-makers to weigh attributes and evaluate alternatives
 presented to them.  This package provides a consistent methodology for
 researchers to reformat data and run analytic hierarchy process in R on data
 that are formatted using the survey data entry mode. It is optimized for
 performing the analytic hierarchy process with many decision-makers, and
 provides tools and options for researchers to aggregate individual
 preferences and test multiple options. It also allows researchers to
 quantify, visualize and correct for inconsistency in the decision-maker's
 comparisons.

Package: r-cran-ahptools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-readxl, r-cran-data.tree
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ahptools_1.0.0-1.ca2004.1_all.deb
Size: 93196
MD5sum: c921447930183608c045f7a4ca1288fe
SHA1: 2ebc92c2114a3eb65a02060d8f89700d8c9fc116
SHA256: 3185ef1915d6f9a7f77b3ef602d6551ae6b05184f7b926f6789da9e4b00064f4
SHA512: cec7aed36f21513a5e00dcffee408a6d064ef88ae7b447d18323d4047452539214a1f7feba97401495e9ac7a7c432abd549faa6cade5ad96f3a9702b055f963b
Homepage: https://cran.r-project.org/package=AHPtools
Description: CRAN Package 'AHPtools' (Consistency in the Analytic Hierarchy Process)
 A Swiss Army knife of utility functions for users of the Analytic Hierarchy
 Process (AHP) which will help you to assess the consistency of a PCM as well
 as to improve its consistency ratio, to compute the sensitivity of a PCM,
 create a logical (as distinct from a random PCM) from preferences provided
 for the alternatives, and a function that helps evaluate the actual
 consistency of a PCM based on objective, fair bench marking. The various
 functions in the toolkit additionally provide the flexibility to users to
 specify only the upper triangular comparison ratios of the PCM in order to
 performs its assigned task.

Package: r-cran-ahptopsis2n
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ahptopsis2n_0.2.0-1.ca2004.1_all.deb
Size: 20940
MD5sum: 820c42d8797034404bd0b233796699fd
SHA1: fc7d5987a724a5e7243a9b11aa7549ba1fc4bfba
SHA256: f06770125bdc752fdd8638b6c71605022f7a3c77d2e1592549ccd0a54e7ddf21
SHA512: 190312815ab8fabaa0f0d467d8cdb8c306815a07bc757506ea5fc0b7fe3b2418a4bfba1aeebdc4a2d14e1e6c9439ec7252e911ad678265d7d3ef133905697e63
Homepage: https://cran.r-project.org/package=ahptopsis2n
Description: CRAN Package 'ahptopsis2n' (Hybrid Method for Multiple Criteria Decision-Making (MCDM))
 Implementation of a hybrid MCDM method build from the AHP (Analytic
 Hierarchy Process) and TOPSIS-2N (Technique for Order of Preference by
 Similarity to Ideal Solution - with two normalizations). This method is
 described in Souza et al. (2018) <doi: 10.1142/S0219622018500207>.

Package: r-cran-ahpwr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-readxl, r-cran-tidyr, r-cran-ggplot2, r-cran-igraph, r-cran-formattable, r-cran-magrittr, r-cran-tibble, r-cran-xlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ahpwr_0.1.0-1.ca2004.1_all.deb
Size: 118588
MD5sum: 9095cda2a93b36c35730d03c36fbbb59
SHA1: 2d35d6226abd4801b7e08789918f12860fd4bec6
SHA256: 72171cb574e0b716e1314f433b070083243feaeb8a0d89dfec3500c477f5c6d5
SHA512: a1280c1c48e30572b1c987f3db3c19ac29142f4d2e12e040206463fa8fba16622adbdaf361fc3a16a12fc2dba9c9f0922c6ecd0301d28d6d3272fab62e53bb4d
Homepage: https://cran.r-project.org/package=AHPWR
Description: CRAN Package 'AHPWR' (Compute Analytic Hierarchy Process)
 Compute a tree level hierarchy, judgment matrix, consistency index and
 ratio, priority vectors, hierarchic synthesis and rank. Based on the book
 entitled "Models, Methods, Concepts and Applications of the Analytic
 Hierarchy Process" by Saaty and Vargas (2012, ISBN 978-1-4614-3597-6).

Package: r-cran-ahsurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-flexsurv, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-ahsurv_0.1.0-1.ca2004.1_all.deb
Size: 127748
MD5sum: e975f5c2d8a01c032c13e66246ae163b
SHA1: 468d0e9fdd1beabd6a8f9f957c9131124c621d47
SHA256: f5fc41ed8cbaa1ed61493097b7df5b3316ce5b65e67f6d27e35c162ea4e3a998
SHA512: a4bbe4648f95a02ca113acbaac83abaedbfc2169d8b53a11fc46575ba17072d0ad2862cffd0c6c593d051782250df3574c5aac070bddc4edb58c9275a2c8b49d
Homepage: https://cran.r-project.org/package=AHSurv
Description: CRAN Package 'AHSurv' (Flexible Parametric Accelerated Hazards Models)
 Flexible parametric Accelerated Hazards (AH) regression models in overall
 and relative survival frameworks with 13 distinct Baseline Distributions.
 The AH Model can also be applied to lifetime data with crossed survival
 curves. Any user-defined parametric distribution can be fitted, given at
 least an R function defining the cumulative hazard and hazard rate
 functions. See Chen and Wang (2000) <doi:10.1080/01621459.2000.10474236>,
 and Lee (2015) <doi:10.1007/s10985-015-9349-5> for more details.

Package: r-cran-ai
Architecture: all
Version: 1.0.4.44-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-class, r-cran-catools, r-cran-mass, r-cran-party, r-cran-metrics
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ai_1.0.4.44-1.ca2004.1_all.deb
Size: 24012
MD5sum: efdf323908061601ce9bcc21b37c3109
SHA1: db581e93b5a1ba754a562daa0c1bf1188a5a7916
SHA256: 6dda6fbf892cfe16d5f1df9c47cb9d7796e784cf382f511e112bda06b475c051
SHA512: f81cb7aef3b9f20ce133dd3dc595e4d1d77c9f7e2a45daea19906dcf715b4fc862cf6d149fc0ee8d681ff05450babdd9d238215b27b31cbc648df6f77c338bda
Homepage: https://cran.r-project.org/package=ai
Description: CRAN Package 'ai' (Build, Predict and Analyse Artificial Intelligence Models)
 An interface for data processing, building models, predicting values and
 analysing outcomes. Fitting Linear Models, Robust Fitting of Linear Models,
 k-Nearest Neighbor Classification, 1-Nearest Neighbor Classification, and
 Conditional Inference Trees are available.

Package: r-cran-aibd
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rscala, r-cran-commonsmath
Filename: pool/dists/focal/main/r-cran-aibd_0.1.9-1.ca2004.1_all.deb
Size: 647232
MD5sum: eea9b45d8f5531e5b8036a760f5734a9
SHA1: b13063f251f45b3b191dc59834236cf37e9efbd3
SHA256: 1149d03949eb9f8d229e533fc128acaf62f9b7ec87ae5a330c9e050248d5c801
SHA512: c048b627ee94173d8371769be2b4f540e01fbc4d2c2d0acf12aab543834649dbd715c51dd81de81fde1be28fe0e3dc32fd650d93616acc00593904446872408b
Homepage: https://cran.r-project.org/package=aibd
Description: CRAN Package 'aibd' (Attraction Indian Buffet Distribution)
 An implementation of probability mass function and sampling algorithms is
 provided for the attraction Indian buffet distribution (AIBD), originally
 from Dahl (2016)
 <https://ww2.amstat.org/meetings/jsm/2016/onlineprogram/ActivityDetails.cfm?SessionID=213038>.

Package: r-cran-aic
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3685
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrixcalc, r-cran-zcompositions, r-cran-shiny, r-bioc-edger, r-bioc-aldex2, r-cran-vegan
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aic_1.0-1.ca2004.1_all.deb
Size: 2778908
MD5sum: 515194b772ffbd73cad765f8e59f2a70
SHA1: 50424e8a5295941604a0a568f88314a7c7b4644d
SHA256: c7c3e2ccfb596875b5b5f163ef4aac272e8f024272c1824db099b017bb586982
SHA512: 67a2d6730be0e226a9b9f44026833e24ff5f735227ea552a9d1df38f66c22592f8a25894b2232661eaa8012ab5c5beff7fe7651dc30ad9447863eb66d6fcd570
Homepage: https://cran.r-project.org/package=aIc
Description: CRAN Package 'aIc' (Testing for Compositional Pathologies in Datasets)
 A set of tests for compositional pathologies. Tests for coherence of
 correlations with aIc.coherent() as suggested by (Erb et al. (2020)
 <doi:10.1016/j.acags.2020.100026>), compositional dominance of distance with
 aIc.dominant(), compositional perturbation invariance with aIc.perturb() as
 suggested by (Aitchison (1992) <doi:10.1007/BF00891269>) and singularity of
 the covariation matrix with aIc.singular(). Currently tests five data
 transformations: prop, clr, TMM, TMMwsp, and RLE from the R packages
 'ALDEx2', 'edgeR' and 'DESeq2' (Fernandes et al (2014)
 <doi:10.1186/2049-2618-2-15>, Anders et al.
 (2013)<doi:10.1038/nprot.2013.099>).

Package: r-cran-aiccmodavg
Architecture: all
Version: 2.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4048
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-survival, r-cran-unmarked, r-cran-vgam, r-cran-xtable
Suggests: r-cran-betareg, r-cran-coxme, r-cran-fitdistrplus, r-cran-glmmtmb, r-cran-lavaan, r-cran-lme4, r-cran-maxlike, r-cran-nnet, r-cran-ordinal, r-cran-pscl, r-cran-r2jags, r-cran-r2openbugs, r-cran-r2winbugs, r-cran-jagsui, r-cran-lmertest
Filename: pool/dists/focal/main/r-cran-aiccmodavg_2.3-4-1.ca2004.1_all.deb
Size: 2912840
MD5sum: e179db8eb5628c9d5ae9b3f2158b8263
SHA1: 8d3f9840b4fcb46956add41ef7877457bbc20f6e
SHA256: 34b4b12057cd28df664a20e775aaea7dd9d074a6e3db696a497b6b5b17547eea
SHA512: 74821a588b64981b3800fea9c8fc8319853801d5f96bb91d01553c76417957392896d269b3314942a187d0f25a966ddafc852775841380d978a7552ed861970d
Homepage: https://cran.r-project.org/package=AICcmodavg
Description: CRAN Package 'AICcmodavg' (Model Selection and Multimodel Inference Based on (Q)AIC(c))
 Functions to implement model selection and multimodel inference based on
 Akaike's information criterion (AIC) and the second-order AIC (AICc), as
 well as their quasi-likelihood counterparts (QAIC, QAICc) from various model
 object classes.  The package implements classic model averaging for a given
 parameter of interest or predicted values, as well as a shrinkage version of
 model averaging parameter estimates or effect sizes.  The package includes
 diagnostics and goodness-of-fit statistics for certain model types including
 those of 'unmarkedFit' classes estimating demographic parameters after
 accounting for imperfect detection probabilities.  Some functions also allow
 the creation of model selection tables for Bayesian models of the 'bugs',
 'rjags', and 'jagsUI' classes.  Functions also implement model selection
 using BIC.  Objects following model selection and multimodel inference can
 be formatted to LaTeX using 'xtable' methods included in the package.

Package: r-cran-aiccpermanova
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-car, r-cran-data.table, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-furrr, r-cran-future, r-cran-stringr, r-cran-tidyr, r-cran-vegan
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aiccpermanova_0.0.2-1.ca2004.1_all.deb
Size: 41944
MD5sum: b9f0aecc187d4930c7dc4f7dcf3dbed0
SHA1: 8054b851cede3bcdc0fc4354256fede876ed68ee
SHA256: b186ee6d2c769d42a464108767fbed6b9d991be362e573463adc9d3a0b841779
SHA512: 9895f6bcd2454479d88a0f3464f6d459f7a7660fddde0952d1c80ea180d9cd758cb1e5f51e2e3b053df6a625812456f070ffb58ba2267591dabc7d80adb08982
Homepage: https://cran.r-project.org/package=AICcPermanova
Description: CRAN Package 'AICcPermanova' (Model Selection of PERMANOVA Models Using AICc)
 Provides tools for model selection and model averaging of PerMANOVA models
 using Akaike Information Criterion corrected for small sample sizes (AICc)
 and Information Theoretic criteria principles. The package is built around
 the PERMANOVA analysis from the 'vegan' package and provides a streamlined
 workflow for generating and comparing models, obtaining model weights, and
 summarizing results using model averaging approaches.  The methods
 implemented in this package are based on the practical information-
 theoretic approach described by Burnham, K. P. and Anderson, D. R. (2002)
 (<doi:10.1007/b97636>).

Package: r-cran-aid
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-tseries, r-cran-nortest, r-cran-ggplot2, r-cran-psych, r-cran-meta, r-cran-stringr
Suggests: r-cran-onewaytests
Filename: pool/dists/focal/main/r-cran-aid_3.1-1.ca2004.1_all.deb
Size: 81420
MD5sum: e26170451989c3cac5327365beb70880
SHA1: 536d02b4b661c0fd93a10bef8a4a424389e13245
SHA256: 8d341c045ffc92a47759ea4685e458705bf8e950fe5989035454d76e3625e52c
SHA512: a984e9d05f3e407cab96ce1e04960b767059ae530bb8516bb97d14e39bb7036ba6085d43610eb36e3a2e0b44e67f6b652c803a39955f1e54289fea0b50864e09
Homepage: https://cran.r-project.org/package=AID
Description: CRAN Package 'AID' (Box-Cox Power Transformation)
 Performs Box-Cox power transformation for different purposes, graphical
 approaches, assesses the success of the transformation via tests and plots,
 computes mean and confidence interval for back transformed data.

Package: r-cran-aidar
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aidar_1.0.5-1.ca2004.1_all.deb
Size: 75164
MD5sum: 5451c1e8223197d7481543ce2f1d23e5
SHA1: 4adebf3f1ddfcf700a917ece9a71ade1777ea1c6
SHA256: e1bb288aecf6fbba1640ce5d6eb591a3eff97782cf334c713d895d9e80949a2b
SHA512: 93710e0952dae9957ddc245eec89f2d4ad024c1f110fdbafbd8459a3c3c1cd606b7e7dfa8d90f5cc9fec48d5851c2b30d1ebf8c0a5982b72abadab9844162900
Homepage: https://cran.r-project.org/package=aidar
Description: CRAN Package 'aidar' (Tools for Reading AIDA Files)
 Read objects from the AIDA (<http://aida.freehep.org/>) file and make them
 available as dataframes in R.

Package: r-cran-aides
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 692
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-meta
Suggests: r-cran-bookdown, r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aides_1.3.3-1.ca2004.1_all.deb
Size: 458940
MD5sum: 16defcc7707f4630eafc17af5a39dea1
SHA1: 81cf2b530cc7931cf922997cf27e0af80f0574c1
SHA256: bb2ac88d36e5f35b3f179065d821133d8ff1357c03772837da4202c01d1851f3
SHA512: 0f57dc9656757d16a932ba857aeff79bd8819597a2ae3e4818a9907feb048d41a4a8c19af5d2c23424d0264f155194fe064a9bb039b0a5d23a93bb7d4b490618
Homepage: https://cran.r-project.org/package=aides
Description: CRAN Package 'aides' (Additive Information & Details of Evidence Synthesis)
 A supportive collection of functions for pooled analysis of aggregate data.
 The current version supports users to test assumptions before relevant
 analysis of bias from study size and sequential analysis such as mentioned
 by Wetterslev, J., Jakobsen, J. C., & Gluud, C. (2017)
 <doi:10.1186/s12874-017-0315-7>.

Package: r-cran-aies
Architecture: all
Version: 0.99.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-ebimage, r-cran-e1071, r-cran-fs, r-cran-data.table
Suggests: r-cran-stringr, r-cran-colorspace, r-cran-dplyr, r-cran-knitr, r-cran-rstudioapi, r-cran-svdialogs
Filename: pool/dists/focal/main/r-cran-aies_0.99.6-1.ca2004.1_all.deb
Size: 1064972
MD5sum: d7f174d926052cc6f7f3ccb7dee0a325
SHA1: dae2909fe9d6723d84056888e31aa84675eea591
SHA256: 3e93be5929e689789f4d9ffde64a5d3ecacbdb0638cdd87f6423afc7ed925d7b
SHA512: 6d08ce03f84b5af9a143616c7f1ccb1d10580335fd64cf68e8d415137338ac315ea249eabf9fab615c0a2af6b74f6449add30846b19f14e0fbe9984f56fe2490
Homepage: https://cran.r-project.org/package=AiES
Description: CRAN Package 'AiES' (Axon Integrity Evaluation System for Microscopy Images)
 Provides tools for the quantitative analysis of axon integrity in microscopy
 images.  It implements image pre-processing, adaptive thresholding, feature
 extraction, and support vector machine-based classification to compute
 indices such as the Axon Integrity Index (AII) and Degeneration Index (DI).
 The package is designed for reproducible and automated analysis in
 neuroscience research.

Package: r-cran-aif360
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aif360_0.1.0-1.ca2004.1_all.deb
Size: 301624
MD5sum: 57a818616302f87287243ced6172dadd
SHA1: c7ab94ef1551f15e74a78e9683a159793dd89b25
SHA256: 60b318e936db396666c6bb513a3ad34321211b7e1383bc5ae719aa4b00c48806
SHA512: 8900349c6f24edc1e3babcee4d40dbc795dc72989a9aa0d7d3f2780218631feef38df9a380fc777c32e15dcee2d9bb32d1fb0a4434df54ebe40a3d538c34d90f
Homepage: https://cran.r-project.org/package=aif360
Description: CRAN Package 'aif360' (Help Detect and Mitigate Bias in Machine Learning Models)
 The 'AI Fairness 360' <https://aif360.mybluemix.net/> toolkit is an
 open-source library to help detect and mitigate bias in machine learning
 models. The AI Fairness 360 R package includes a comprehensive set of
 metrics for datasets and models to test for biases, explanations for these
 metrics, and algorithms to mitigate bias in datasets and models.

Package: r-cran-aifftools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2657
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-tuner
Filename: pool/dists/focal/main/r-cran-aifftools_1.0-1.ca2004.1_all.deb
Size: 2470312
MD5sum: e1ae1cd0e627955a20501368ae622a10
SHA1: 17faa79fc48bf770c498777d3247a365bbc04e3a
SHA256: 1d6d297b70e9e0956e09830a5345c2fb0ae8d67170f0320cb4c214b47179c2f6
SHA512: 8b1b52e377c2a9d74a7244d992051733cc8fc0657b4cb087e901e55747f255ec9cc2a7507046af59856a59b6b70e3bde92b18401f44eb2b8a5c0fd776adfd076
Homepage: https://cran.r-project.org/package=AIFFtools
Description: CRAN Package 'AIFFtools' (Read AIFF Files and Convert to WAVE Format)
 Functions are provided to read and convert AIFF audio files to WAVE (WAV)
 format.  This supports, for example, use of the 'tuneR' package, which does
 not currently handle AIFF files.  The AIFF file format is defined in
 <https://web.archive.org/web/20080125221040/http://www.borg.com/~jglatt/tech/aiff.htm>
 and
 <https://www.mmsp.ece.mcgill.ca/Documents/AudioFormats/AIFF/Docs/AIFF-1.3.pdf>

Package: r-cran-aig
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-dplyr, r-cran-rgl, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-aig_0.1.9-1.ca2004.1_all.deb
Size: 99408
MD5sum: 6640eecacdb5d31edc29117d586f86b3
SHA1: 97da0df194313b22426f76ffac93d24e801b5e36
SHA256: a9076c9b07af774b156f2258432a9b50bb97caa5b98593f294bd322a3e037efd
SHA512: 34f4c17d84ff12ede64380dbf73bc15853bd27c489682c13bef162189764470afb2c501c8f3043126cdae605f8008966f4b7e5d313152d23a4b1e7a3b80bbb8b
Homepage: https://cran.r-project.org/package=AIG
Description: CRAN Package 'AIG' (Automatic Item Generator)
 A collection of Automatic Item Generators used mainly for psychological
 research. This package can generate linear syllogistic reasoning, arithmetic
 and 2D/3D/Double 3D spatial reasoning items. It is recommended for research
 purpose only.

Package: r-cran-aimplot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-aimplot_1.0.0-1.ca2004.1_all.deb
Size: 16460
MD5sum: 97100fc66b503a95346d962ab0154143
SHA1: 1407fbe19ee8613b7d950617addb10afe1d48d0a
SHA256: 8db470d9e9c457f1b2ffa60d14bf5997801b90172e8bb9e43e78d8559877bcbf
SHA512: 57f6ca5a9d346f1d28bdb84c4a5d1f0c07197a76b5fe7d5eb103014784380892230060f5a653de317a546498c91a6fabe92230bffc07882cb4fe01fc272a4d80
Homepage: https://cran.r-project.org/package=aimPlot
Description: CRAN Package 'aimPlot' (Create Pie Like Plot for Completeness)
 Create a pie like plot to visualise if the aim or several aims of a project
 is achieved or close to be achieved i.e the aim is achieved when the point
 is at the center of the pie plot. Imagine it's like a dartboard and the
 center means 100% completeness/achievement. Achievement can also be
 understood as 100% coverage. The standard distribution of completeness
 allocated in the pie plot is 50%, 80% and 100% completeness.

Package: r-cran-aimsir17
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3072
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-aimsir17_0.0.2-1.ca2004.1_all.deb
Size: 2671924
MD5sum: df4c048ba338309852c4a8b6a80616e9
SHA1: bc2a3eab579690e3ef9b85b3821125729efc5ad4
SHA256: 7a6804817fd4124ffd2f09f7ec453359ea7753767f59184f4a0ea6e883221d67
SHA512: dc66fbe1ce1696576f8bf55be74a5963f27533eac3e3f1138d7b250d04784382368b6166c34fff5173f93cdf16038b507ed12031f3070a903708a77ac1051ec2
Homepage: https://cran.r-project.org/package=aimsir17
Description: CRAN Package 'aimsir17' (Irish Weather Observing Stations Hourly Records for 2017)
 Named after the Irish name for weather, this package contains tidied data
 from the Irish Meteorological Service's hourly observations for 2017.  In
 all, the data sets include observations from 25 weather stations, and also
 latitude and longitude coordinates for each weather station. Now includes
 energy generation data for Ireland and Northern Ireland (2017), including
 Wind Generation data.

Package: r-cran-aion
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1033
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arkhe
Suggests: r-cran-folio, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-aion_1.5.0-1.ca2004.1_all.deb
Size: 625672
MD5sum: fec3354951945be45877449d9f536435
SHA1: 209ca0dbc4973b188feb4f6765403ca5ab04eaa3
SHA256: a1056459c09651b44735281eb60fec8afa74bdf474dcb1be44b7daa7d9c533d6
SHA512: 4a76c0397c272e36886c4b35b9fd5262278e52e645350e84d4251453ea30d00a3d044afb9344b126fd332cd34f09d24157bae294605dc0fc91065756311efc31
Homepage: https://cran.r-project.org/package=aion
Description: CRAN Package 'aion' (Archaeological Time Series)
 A toolkit for archaeological time series and time intervals.  This package
 provides a system of classes and methods to represent and work with
 archaeological time series and time intervals. Dates are represented as
 "rata die" and can be converted to (virtually) any calendar defined by
 Reingold and Dershowitz (2018) <doi:10.1017/9781107415058>. This packages
 offers a simple API that can be used by other specialized packages.

Package: r-cran-aipw
Architecture: all
Version: 0.6.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 639
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-superlearner, r-cran-ggplot2, r-cran-future.apply, r-cran-progressr, r-cran-rsolnp
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tmle
Filename: pool/dists/focal/main/r-cran-aipw_0.6.9.2-1.ca2004.1_all.deb
Size: 461604
MD5sum: 7665d176bad171b5155182ae216d8529
SHA1: 7e93515807186f18dd2d30817d2571ebdeb83576
SHA256: 99744c42a13c4ee8b28535e7047094cb9603d5f42ce84b88b54fca32bc3875f4
SHA512: a619d2aee41ce15ec507b26062ce0ff8f3c3cdf6a2ad5eaea260fa8f8fee94241fe7acbbba2d4860cf4f20f7646e42025f08150c96df67f737d953f1a5e1cb20
Homepage: https://cran.r-project.org/package=AIPW
Description: CRAN Package 'AIPW' (Augmented Inverse Probability Weighting)
 The 'AIPW' package implements the augmented inverse probability weighting, a
 doubly robust estimator, for average causal effect estimation with
 user-defined stacked machine learning algorithms. To cite the 'AIPW'
 package, please use: "Yongqi Zhong, Edward H. Kennedy, Lisa M. Bodnar,
 Ashley I. Naimi (2021). AIPW: An R Package for Augmented Inverse Probability
 Weighted Estimation of Average Causal Effects. American Journal of
 Epidemiology. <doi:10.1093/aje/kwab207>". Visit:
 <https://yqzhong7.github.io/AIPW/> for more information.

Package: r-cran-air
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-keyring, r-cran-rjson
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-air_0.2.2-1.ca2004.1_all.deb
Size: 28456
MD5sum: bd91c4ea9d776aa7f58d93bd75fa73e4
SHA1: 384e7cd0be82bd13ed5e109e4b065a6c3bd54f68
SHA256: 5cebffb58da970a6f13b176633402da4ff6467270c573c6ddb07cb16aa96105f
SHA512: fdefd0570b43148ab008d4a319dab5a1be73dffc2bf925434a4846770b0485595c0e3c20896e3c8afe8e7f124edb3b8d892d2bf0b6e420fd45ff1d3d674102dd
Homepage: https://cran.r-project.org/package=air
Description: CRAN Package 'air' (AI Assistant to Write and Understand R Code)
 An R console utility that lets you ask R related questions to the 'OpenAI'
 large language model. It can answer 'how-to()' questions by providing code,
 and 'whatis()' questions by explaining what given code does.  You must
 provision your own key for the 'OpenAI' API
 <https://platform.openai.com/docs/api-reference>.

Package: r-cran-aire.zmvm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-progress, r-cran-readr, r-cran-readxl, r-cran-rvest, r-cran-sp, r-cran-stringr, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aire.zmvm_1.0.0-1.ca2004.1_all.deb
Size: 252448
MD5sum: 0413a7a0de7929a38c4f563455524f6d
SHA1: c29beebeac3c31e36864eb6b0ef20b5eddc6279b
SHA256: 50defa6bf00671ef63af6a81076664cd0957ed7a69623cc856ad58c3364cab64
SHA512: ee6be5373110a94ae1cbb514a229cf157d04337edfc510148d664aedc907b3c2b574705a74079d5e1627aa16cd4fa072232d53661e3ab08e01f4400e9fb04e6c
Homepage: https://cran.r-project.org/package=aire.zmvm
Description: CRAN Package 'aire.zmvm' (Download Mexico City Pollution, Wind, and Temperature Data)
 Tools for downloading hourly averages, daily maximums and minimums from each
 of the pollution, wind, and temperature measuring stations or geographic
 zones in the Mexico City metro area. The package also includes the locations
 of each of the stations and zones.  See <http://aire.cdmx.gob.mx/> for more
 information.

Package: r-cran-airexposure
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-htmltools, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-htmlwidgets, r-cran-lubridate, r-cran-sf
Filename: pool/dists/focal/main/r-cran-airexposure_1.0-1.ca2004.1_all.deb
Size: 79124
MD5sum: 28134183fd3a408e1c35dfc114dc4e86
SHA1: cc152da2b81c8cf20dfd8be59fb05f7aad710cd2
SHA256: 4d1ecc39b0fb9d2b4cc3e8a80f5c803bfa2686c92d5d7aa52cba0b88e849fbfd
SHA512: b6abcffb48913c13d686f3770ea790036523b1227a340fc8f533fbe7a6812d5da607cd7761d9ef1e2deb8340a5556702064f0b3da9b72d56395735cc3f0039a4
Homepage: https://cran.r-project.org/package=AirExposure
Description: CRAN Package 'AirExposure' (Exposure Model to Air Pollutants Based on Mobility and DailyActivities)
 Model that assesses daily exposure to air pollution, which considers daily
 population mobility on a geographical scale and the spatial and temporal
 variability of pollutant concentrations, in addition to traditional
 parameters such as exposure time and pollutant concentration.

Package: r-cran-airgrdatasets
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2164
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-airgrdatasets_0.2.1-1.ca2004.1_all.deb
Size: 1542864
MD5sum: f09931779b414b0c0bb4ceed932d8db0
SHA1: 4461db160e7b31b06f9c346bf2b951b1e7b2c43a
SHA256: 049387f56867c382e4e2a22f451d179fe43603ee6a8fb60ce9d4ba2cd7df3f6e
SHA512: 6d63e9f3711fa752bea5a6e02ab8d3bec7249c70fc25c691715cddaea00b6c15196293ff40f66ba34c18e30b8324e02f379761c5e65e1d08f97ae810526e5b81
Homepage: https://cran.r-project.org/package=airGRdatasets
Description: CRAN Package 'airGRdatasets' (Hydro-Meteorological Catchments Datasets for the 'airGR'Packages)
 Sample of hydro-meteorological datasets extracted from the 'CAMELS-FR'
 French database <https://hal.inrae.fr/hal-03687235>. It provides metadata
 and catchment-scale aggregated hydro-meteorological time series on a pool of
 French catchments for use by the 'airGR' packages.

Package: r-cran-airgrdatassim
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-airgrdatassim_0.1.4-1.ca2004.1_all.deb
Size: 101916
MD5sum: d83a5050cdae63ec5c26d75e2b144819
SHA1: 048999d8eb1f49d2707fbbb08a636b5f20a19c3a
SHA256: 60fe847b47b29f57ccec4dacb111ed62fc6bd99a4d95953bf786d65cc7c64740
SHA512: 8cec9a75799f1ac54db505d5865d8b768de138c84b20de2170a391fc39aa8b7f15c44d2af7900456eae7a7f60aab33d376f37dd530767e1a173dda329281e430
Homepage: https://cran.r-project.org/package=airGRdatassim
Description: CRAN Package 'airGRdatassim' (Ensemble-Based Data Assimilation with GR Hydrological Models)
 Add-on to the 'airGR' package which provides the tools to assimilate
 observed discharges in daily GR hydrological models. The package consists in
 two functions allowing to perform the assimilation of observed discharges
 via the Ensemble Kalman filter or the Particle filter as described in Piazzi
 et al. (2021) <doi:10.1029/2020WR028390>.

Package: r-cran-airgriwrm
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1997
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-png, r-cran-rlang, r-cran-zlib
Suggests: r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-airgriwrm_0.7.0-1.ca2004.1_all.deb
Size: 1300892
MD5sum: 3f4e597f52163ed6599f6acb9ce7e93d
SHA1: e3be074319a6818b2c5bbc263acabceb9a18cc8d
SHA256: 4b6da6aa12b0df13a78a0fb0d133b5cbf29905d952a3bcbfc92152a5ac98bed6
SHA512: 3099ad4841a049116603615e1b034a390b4074bc806d45f7080dd8bf0bfccbc0045d6e86d78775379dc2dbd58189e4cf5efaab3fd398d95eb500a9173f023b03
Homepage: https://cran.r-project.org/package=airGRiwrm
Description: CRAN Package 'airGRiwrm' ('airGR' Integrated Water Resource Management)
 Semi-distributed Precipitation-Runoff Modeling based on 'airGR' package
 models integrating human infrastructures and their managements.

Package: r-cran-airgrteaching
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dygraphs, r-cran-markdown, r-cran-plotrix, r-cran-shiny, r-cran-shinyjs, r-cran-xts
Suggests: r-cran-airgrdatasets, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-airgrteaching_0.3.5-1.ca2004.1_all.deb
Size: 3494984
MD5sum: 5026b9d742cfcd49735c9de4471934ea
SHA1: e9fa4c417071b16d48f8819d44d077a3acaba6f0
SHA256: 2c3f83bd50f633190e8a4f473e97dc91d0d8da00a653356b92e6791c1313ffea
SHA512: bfd70f4447de989d27ab64d82d5ced0ed637cd591d7524b7354876b0c2d8c5bed1b02e73ea2942cf7966484edd34033401f85c541e0c2a76bf5fd43b2d829f51
Homepage: https://cran.r-project.org/package=airGRteaching
Description: CRAN Package 'airGRteaching' (Teaching Hydrological Modelling with the GR Rainfall-RunoffModels ('Shiny' Interface Included))
 Add-on package to the 'airGR' package that simplifies its use and is aimed
 at being used for teaching hydrology. The package provides 1) three
 functions that allow to complete very simply a hydrological modelling
 exercise 2) plotting functions to help students to explore observed data and
 to interpret the results of calibration and simulation of the GR ('Génie
 rural') models 3) a 'Shiny' graphical interface that allows for displaying
 the impact of model parameters on hydrographs and models internal variables.

Package: r-cran-airly
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-reshape2, r-cran-tibble
Suggests: r-cran-testthat, r-cran-httptest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-airly_0.1.0-1.ca2004.1_all.deb
Size: 116640
MD5sum: b7c3e4c19b7ab77f98028a94271c5fa4
SHA1: 5a8d762f26906164e2be84187278e5bcde4cb0ea
SHA256: 3406f9f9d1345cca3953e442f64765be0e9e6aca012709114f3e18e25568d8c8
SHA512: 6a1344feec0c38b4a9cfb14d629268edc998145e488e44b3328285d41e597305321da55f69d52f45274671dc725a8cd66149251620ef14ea13ca5a34def7c5a1
Homepage: https://cran.r-project.org/package=aiRly
Description: CRAN Package 'aiRly' (R Wrapper for 'Airly' API)
 Get information about air quality using 'Airly' <https://airly.eu/> API
 through R.

Package: r-cran-airmonitor
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-dygraphs, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-mazamarollutils, r-cran-mazamatimeseries, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tidyselect, r-cran-xts
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-airmonitor_0.4.3-1.ca2004.1_all.deb
Size: 983572
MD5sum: af1673cf1a5ce345a8a885931156f6f3
SHA1: 4ef60a3393f49eefbd961691fba747205365e117
SHA256: 876fa90d152007afd2404873e4a960fa70ad21052b9d607d722148c8a64c3753
SHA512: e1a4c92b92a87580935ce13be34f14a42b5c10e7a5019acb83215d5012b4f15ffb5b317bbb73e527746c1b5dc24860e7d222753b80939ea3ba0477acf876f3d9
Homepage: https://cran.r-project.org/package=AirMonitor
Description: CRAN Package 'AirMonitor' (Air Quality Data Analysis)
 Utilities for working with hourly air quality monitoring data with a focus
 on small particulates (PM2.5). A compact data model is structured as a list
 with two dataframes. A 'meta' dataframe contains spatial and measuring
 device metadata associated with deployments at known locations. A 'data'
 dataframe contains a 'datetime' column followed by columns of measurements
 associated with each "device-deployment".  Algorithms to calculate NowCast
 and the associated Air Quality Index (AQI) are defined at the US
 Environmental Projection Agency AirNow program:
 <https://document.airnow.gov/technical-assistance-document-for-the-reporting-of-daily-air-quailty.pdf>.

Package: r-cran-airnow
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-lintr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-airnow_0.1.0-1.ca2004.1_all.deb
Size: 58780
MD5sum: 9d69084f704ac9ebb171051c8faaf55b
SHA1: 5c48ede892d01f53328003d1e09920615c83dc49
SHA256: 7064b347cc67c34c7e2b6ec515d2022d5c6f03f52e6d01def7402b887bb31be4
SHA512: cc7fc3803234bd77b59ad1692e1524eb1afc7ab452996117c55451a96e98b4b83e0dc6876a67ca5dc1b34c443b88ba1b4aa13bdc359b0320ac24b9c64528a3bf
Homepage: https://cran.r-project.org/package=airnow
Description: CRAN Package 'airnow' (Retrieve 'AirNow' Air Quality Observations and Forecasts)
 Retrieve air quality data via the 'AirNow' <https://www.airnow.gov/> API.

Package: r-cran-airportproblems
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-plotly
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-airportproblems_0.1.0-1.ca2004.1_all.deb
Size: 330336
MD5sum: 012ddb58b9ff723608156ee9000232f7
SHA1: 6751ccf1ded7932b525c2add5c9396f80354ac55
SHA256: a470d980964a8e9aea710397f24f71071a953f1a6386e1554cd5d4edbc75d58a
SHA512: b950b711668ea2f6770d0170e832b75528779554e14941cb294051b7d1a0cb3e2ba4124bf0cb2a88fc40a5b55383895fdd57844735dfcdd1cd88e4b979e709be
Homepage: https://cran.r-project.org/package=AirportProblems
Description: CRAN Package 'AirportProblems' (Analysis of Cost Allocation for Airport Problems)
 Airport problems, introduced by Littlechild and Owen (1973)
 <https://www.jstor.org/stable/2629727>, are cost allocation problems where
 agents share the cost of a facility (or service) based on their ordered
 needs. Valid allocations must satisfy no-subsidy constraints, meaning that
 no group of agents contributes more than the highest cost of its members
 (i.e., no agent is allowed to subsidize another). A rule is a mechanism that
 selects an allocation vector for a given problem. This package computes
 several rules proposed in the literature, including both standard rules and
 their variants, such as weighted versions, rules for clones, and rules based
 on the agents’ hierarchy order. These rules can be applied to various
 problems of interest, including the allocation of liabilities and the
 maintenance of irrigation systems, among others.  Moreover, the package
 provides functions for graphical representation, enabling users to visually
 compare the outcomes produced by each rule, or to display the no-subsidy
 set. In addition, it includes four datasets illustrating different
 applications and examples of airport problems. For a more detailed
 explanation of all concepts, see Thomson (2024)
 <doi:10.1016/j.mathsocsci.2024.03.007>.

Package: r-cran-airportr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-airportr_0.1.3-1.ca2004.1_all.deb
Size: 380268
MD5sum: b78f47d62322556487c1224c5c9f9b92
SHA1: bf1b64d65648fc7be1f88a7432b6dbf3e0819ac2
SHA256: 2ec56d09e885f9ed082b0d4f806f976ba94911a3f11e5e26573910bdc351cf1e
SHA512: c23c56412d14c5ef86a6790c4f4fd9d54a25f4fc206a2627e18cf321a10b9fcbe9621eeb79d6f50770213889de4cda1393e83f2c5cee8f2ec24e89a50f27b623
Homepage: https://cran.r-project.org/package=airportr
Description: CRAN Package 'airportr' (Convenience Tools for Working with Airport Data)
 Retrieves open source airport data and provides tools to look up
 information, translate names into codes and vice-verse, as well as some
 basic calculation functions for measuring distances. Data is licensed under
 the Open Database License.

Package: r-cran-airports
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 825
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-airports_0.1.0-1.ca2004.1_all.deb
Size: 799924
MD5sum: 23333c9ab74c06597db8a112a6d473b8
SHA1: edd7966706146d88be230627fb909fef5ca07e5b
SHA256: 252b38a19db30e131b7c9552d419e0be3c69532dd27b2270f5a83fe0c64a351d
SHA512: 4517c6271d3545b4381c9e7b12114b1aca282e81ba162bb0f0bfdbb9b715d693a7d29d9666ca00a30e6a991a7683bcda43fa8eb8237737ff0e7978fe4395509c
Homepage: https://cran.r-project.org/package=airports
Description: CRAN Package 'airports' (Data on Airports)
 Geographic, use, and property related data on airports.

Package: r-cran-airqualityes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3810
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-airqualityes_1.0.0-1.ca2004.1_all.deb
Size: 3824452
MD5sum: 57deaaf2e042d306601f85aa3d34bcf5
SHA1: c12879b9c8299889ae77186d9dcc4df8d9bb8d50
SHA256: 82b9527d051819dcf05babef198cb29409c500e78fc27478d1d2120a92dc0e0e
SHA512: eec9963fe3390b4e77bd6cb92ccef8415be7ecafaf6e61ddd5942fc6ef7543585d36f8637c647e15b67c1e19fbac00d21fea591dd23ce461255385448505c240
Homepage: https://cran.r-project.org/package=airqualityES
Description: CRAN Package 'airqualityES' (Air Quality Measurements in Spain from 2011 to 2018)
 These dataset contains daily quality air measurements in Spain over a period
 of 18 years (from 2001 to 2018). The measurements refer to several
 pollutants. These data are openly published by the Government of Spain.  The
 datasets were originally spread over a number of files and formats. Here,
 the same information is contained in simple dataframe for convenience of
 researches, journalists or general public. See the Spanish Government
 website <http://www.miteco.gob.es/> for more information.

Package: r-cran-airr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1252
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-readr, r-cran-stringi, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-airr_1.5.0-1.ca2004.1_all.deb
Size: 523148
MD5sum: 0b58cfb5254ccdeea529119d2f89ea3b
SHA1: 034c27b831d1752151482982756ac7b95363d007
SHA256: 1ad0d0caa0c8ff2691e27de7fc6e9522f269482674e34ea8202a30b934ede848
SHA512: 523b9b2d139f6552ad04ca6b67893a8dbfaff0693dac00c87673917a07fa1418c0b0d6f47769d9d1b7c4192730695ce1e28bf6fc4537ff90ff8f09288af2c590
Homepage: https://cran.r-project.org/package=airr
Description: CRAN Package 'airr' (AIRR Data Representation Reference Library)
 Schema definitions and read, write and validation tools for data formatted
 in accordance with the AIRR Data Representation schemas defined by the AIRR
 Community <http://docs.airr-community.org>.

Package: r-cran-airsensor
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4424
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-countrycode, r-cran-cowplot, r-cran-dplyr, r-cran-dygraphs, r-cran-geodist, r-cran-geosphere, r-cran-ggally, r-cran-ggmap, r-cran-ggplot2, r-cran-gridextra, r-cran-httpcode, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-mazamalocationutils, r-cran-mazamaspatialutils, r-cran-openair, r-cran-pwfslsmoke, r-cran-readr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scales, r-cran-seismicroll, r-cran-sp, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-worldmet, r-cran-xts, r-cran-zoo
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-airsensor_1.0.8-1.ca2004.1_all.deb
Size: 4092240
MD5sum: c1e694dcb66935b7f6c6ce05dfa7baf5
SHA1: 71b13468b788b6d212d85af72133eef86b31023e
SHA256: 1cc0153ac451d207df4bd0ae0cf523f514320fd8de5cc2298975268b7b5dfc3f
SHA512: 696567ce385fc25b93cac9d854b71d0722e6883243b64092f5b184d501b8aad6cee2efc85c525006faf167d67e0e0edc9dbfa2296c456a07e8ca607d59348ea8
Homepage: https://cran.r-project.org/package=AirSensor
Description: CRAN Package 'AirSensor' (Process and Display Data from Air Quality Sensors)
 Process and display data from air quality sensors.  Initial focus is on
 PM2.5 measurements from sensors produced by 'PurpleAir'
 <https://www2.purpleair.com>.

Package: r-cran-airship
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2240
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-dt, r-cran-shinybusy, r-cran-plotly, r-cran-dplyr, r-cran-tidyselect, r-cran-tidyr, r-cran-stringr, r-cran-colourpicker, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-scales, r-cran-cairo, r-cran-ggplot2, r-cran-rlang, r-cran-magrittr, r-cran-shinyjs, r-cran-data.table, r-cran-shinyalert, r-cran-vctrs, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-airship_1.4.3-1.ca2004.1_all.deb
Size: 1899724
MD5sum: bde0553c2a6689316d93503a6be94993
SHA1: f07c7814039053dd600b0ce6f856c342c860fd99
SHA256: 39730a450789f1498642e3ec0e29fc60889855c697c78ae3480a2ba83c809f14
SHA512: b06518973c14fd35599cd4349f2d968dacb86c8c51de86e4827fe266bc34295c135e95147d2b76cb5a1a7c7d1d8835c0a73a129d4378eebeb7b678ed18d92c85
Homepage: https://cran.r-project.org/package=airship
Description: CRAN Package 'airship' (Visualization of Simulated Datasets with Multiple SimulationInput Dimensions)
 Plots simulation results of clinical trials. Its main feature is allowing
 users to simultaneously investigate the impact of several simulation input
 dimensions through dynamic filtering of the simulation results. A more
 detailed description of the app can be found in Meyer et al.
 <DOI:10.1016/j.softx.2023.101347> or the vignettes on 'GitHub'.

Package: r-cran-airt
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2249
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma, r-cran-mirt, r-cran-tidyr, r-cran-estcrm, r-cran-rlang, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-ggplot2, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-scales
Filename: pool/dists/focal/main/r-cran-airt_0.2.2-1.ca2004.1_all.deb
Size: 1699224
MD5sum: 68745028074a176bff6fbc0fc0f114a0
SHA1: 3be28d1515ead64d11fed2181050673bed3bbfb8
SHA256: cec360afd9231065ab6a8be3962f5e4a812e449cd75a93ff4f1742f0b0b33de5
SHA512: 817c34d05731fffe47a0f8f4c42d948bb0295db4a0dd16adbf261d246a0df8e7808833d2e1a1b9599fbe351434a93563d536758706f0d609460b92731119bbfe
Homepage: https://cran.r-project.org/package=airt
Description: CRAN Package 'airt' (Evaluation of Algorithm Collections Using Item Response Theory)
 An evaluation framework for algorithm portfolios using Item Response Theory
 (IRT). We use continuous and polytomous IRT models to evaluate algorithms
 and introduce algorithm characteristics such as stability, effectiveness and
 anomalousness (Kandanaarachchi, Smith-Miles 2020)
 <doi:10.13140/RG.2.2.11363.09760>.

Package: r-cran-aiscreenr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-httr2, r-cran-stringr, r-cran-furrr, r-cran-tidyr, r-cran-tictoc, r-cran-askpass, r-cran-curl, r-cran-purrr, r-cran-lifecycle, r-cran-jsonlite
Suggests: r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-usethis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aiscreenr_0.1.1-1.ca2004.1_all.deb
Size: 1679096
MD5sum: 96e470edaf77ac4271db55ca882993e3
SHA1: 54271102bb554116eb865bd6e1eaf2bf95b07355
SHA256: 90f26aae4bb54b7ac6c828a905337e2d2a3565b5cebfd4dcf8b8ce6564b507c1
SHA512: fcbceae1d864f099749a600078b6e3eecf0f953b0a732a3940dd754ecd27777c3df397ef9712864b8a1100951b0271397d6276e874831720ac69497e65974aa4
Homepage: https://cran.r-project.org/package=AIscreenR
Description: CRAN Package 'AIscreenR' (AI Screening Tools in R for Systematic Reviewing)
 Provides functions to conduct title and abstract screening in systematic
 reviews using large language models, such as the Generative Pre-trained
 Transformer (GPT) models from 'OpenAI' <https://platform.openai.com/>. These
 functions can enhance the quality of title and abstract screenings while
 reducing the total screening time significantly. In addition, the package
 includes tools for quality assessment of title and abstract screenings, as
 described in Vembye, Christensen, Mølgaard, and Schytt (2024)
 <DOI:10.31219/osf.io/yrhzm>.

Package: r-cran-aisoph
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-iso, r-cran-survival
Filename: pool/dists/focal/main/r-cran-aisoph_0.4-1.ca2004.1_all.deb
Size: 38100
MD5sum: 7011c897f5aeb0c44c2bb027e34c1d3a
SHA1: 80fb652fe95f6be3844174f5cfe57084ff7ca068
SHA256: d591090f98d5b3d05e51bf573bb5ff31a2dd1ccc91f8c27ac4fd9ef96060f661
SHA512: a76a8213a17f46f0379f1bf583da70753c1aff7b82ed1c62010a4027a1018a2c68b7240ffbedc152f7532babf97c92349cec22ac02ed1bd2fc4f971a00231317
Homepage: https://cran.r-project.org/package=aisoph
Description: CRAN Package 'aisoph' (Additive Isotonic Proportional Hazards Model)
 Nonparametric estimation of additive isotonic covariate effects for
 proportional hazards model.

Package: r-cran-aiuq
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fftwtools, r-cran-supergauss, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aiuq_0.5.3-1.ca2004.1_all.deb
Size: 744236
MD5sum: ab8e75d093383e44688666696fc2d7a0
SHA1: 7de8fba2f60d1fa10592c73f2875c3825dfad084
SHA256: ebd331251f491ec2fb5b4859ad5dfe2d62e7343585b160b0267a135fcddcbb4d
SHA512: 45fdb0a1b97429ede2afdd19675d70ab30acba2b2de1cfdb88ce00e48d7282b2aaed6f0e360fde29f4a1add7a4f18813d3bb0774e5bc12680078865ae26a2a7e
Homepage: https://cran.r-project.org/package=AIUQ
Description: CRAN Package 'AIUQ' (Ab Initio Uncertainty Quantification)
 Uncertainty quantification and inverse estimation by probabilistic
 generative models from the beginning of the data analysis. An example is a
 Fourier basis method for inverse estimation in scattering analysis of
 microscopy videos. It does not require specifying a certain range of Fourier
 bases and it substantially reduces computational cost via the generalized
 Schur algorithm. See the reference: Mengyang Gu, Yue He, Xubo Liu and Yimin
 Luo (2023), <doi:10.48550/arXiv.2309.02468>.

Package: r-cran-ajv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8, r-cran-yaml, r-cran-rjsonio
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ajv_1.0.0-1.ca2004.1_all.deb
Size: 80956
MD5sum: 279fdb8fc9f16c47ecb86cf5752faf80
SHA1: b48d8dff5a3ac61b3ca19f0a28571a488ce9104e
SHA256: c6ac4a91f0237d42601f62b5d392c8da551b1d0a90424419dd6646fb3ce1bf86
SHA512: bef119d424bd97c31624dd77f92a4d7c8c8870e7a2b4378dedd5f62205dbac35526bad7774498c0c1f824dad327742c6319fd832a63ab5081c97a4a06d2f69bd
Homepage: https://cran.r-project.org/package=ajv
Description: CRAN Package 'ajv' (Another JSON Schema Validator)
 A thin wrapper around the 'ajv' JSON validation package for JavaScript. See
 <http://epoberezkin.github.io/ajv/> for details.

Package: r-cran-aka
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aka_0.2.0-1.ca2004.1_all.deb
Size: 23844
MD5sum: ee3032719a9759b038259460b116a280
SHA1: 100c5d635b54e47ea756a45889f282359c6be51e
SHA256: 1e18f9db93287edd4481f901b916b2644cda95348950c734b9d3c4322707c85f
SHA512: 53b8b0bff6a38f72af2bb35d186f3497355501a1c39af411801dcda0dd5e546a2d843e2442d3cffb914869b9a8b6997d3d22312640ea1a816ae60d5f2aba42c6
Homepage: https://cran.r-project.org/package=aka
Description: CRAN Package 'aka' (Define Aliases for R Expressions)
 Create aliases for other R names or arbitrarily complex R expressions.
 Accessing the alias acts as-if the aliased expression were invoked instead,
 and continuously reflects the current value of that expression: updates to
 the original expression will be reflected in the alias; and updates to the
 alias will automatically be reflected in the original expression.

Package: r-cran-akc
Architecture: all
Version: 0.9.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1083
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-dplyr, r-cran-ggplot2, r-cran-stringr, r-cran-ggraph, r-cran-tidygraph, r-cran-ggforce, r-cran-textstem, r-cran-tibble, r-cran-tidytext, r-cran-rlang, r-cran-magrittr, r-cran-data.table, r-cran-ggwordcloud, r-cran-tidyfst
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-akc_0.9.9.1-1.ca2004.1_all.deb
Size: 899532
MD5sum: a78a8d0607919513260525bf15e59d95
SHA1: 65451c36eade332c9688de5e4ff8ecb2f3f0c2a0
SHA256: 5ff4902775ee6689a49bb0aba365bfaaadd87f2673edadeaf26403a9e3984cc6
SHA512: 6ed372ebb1ba052063225d9a4ef5d24751da7c59227384167c1b1937f189e94750f2adac34f9ab88cc2bc2256266671898004d32a35592f963f4eec180e45840
Homepage: https://cran.r-project.org/package=akc
Description: CRAN Package 'akc' (Automatic Knowledge Classification)
 A tidy framework for automatic knowledge classification and visualization.
 Currently, the core functionality of the framework is mainly supported by
 modularity-based clustering (community detection) in keyword co-occurrence
 network, and focuses on co-word analysis of bibliometric research. However,
 the designed functions in 'akc' are general, and could be extended to solve
 other tasks in text mining as well.

Package: r-cran-ake
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ake_1.0.1-1.ca2004.1_all.deb
Size: 102960
MD5sum: 54e48c06c7ec9c23df3a927124b25637
SHA1: f47f58a4a0dd397b88ae6d738b7808f6b482c05c
SHA256: ea7fdd7297a1c4b6612711ba7b69f0f8b5fc1b5e7b85a48da37ddca0abae3537
SHA512: 043f6f9fc40c6c98e4fd74e2a4cb1fdfd25f29241e7a08d3eda580f0bdf6ee414784712cfe7b809686b1e86e1a482658e29577386bd89ebe426042bb2873fe3c
Homepage: https://cran.r-project.org/package=Ake
Description: CRAN Package 'Ake' (Associated Kernel Estimations)
 Continuous and discrete (count or categorical) estimation of density,
 probability mass function (p.m.f.) and regression functions are performed
 using associated kernels. The cross-validation technique and the local
 Bayesian procedure are also implemented for bandwidth selection.

Package: r-cran-akiflagger
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-zoo, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-akiflagger_0.3.0-1.ca2004.1_all.deb
Size: 42708
MD5sum: 28ef026bec71265e212833d50a54c1e1
SHA1: 342d1d5f0e46e2ab2814ed984e222e6bf02df751
SHA256: 924353fb6ea7b72d1b0e557948b53fb74be3e37a9e92baa60653b8370576f72c
SHA512: e5fac4972e169bb3f7484e18b15fcb4ae3b3c3a026101a59e077202a1c4b21f85a60fcae8361f0ecaba163724972639fff575d2e9a750d2e349370bbb6dce378
Homepage: https://cran.r-project.org/package=akiFlagger
Description: CRAN Package 'akiFlagger' (Flags Acute Kidney Injury (AKI))
 Flagger to detect acute kidney injury (AKI) in a patient dataset.

Package: r-cran-akmbiclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-akmbiclust_0.1.0-1.ca2004.1_all.deb
Size: 18532
MD5sum: 01f999160e860c2742a56e9e46450c14
SHA1: 411c38c4a8c6c509bfac78db358affb363405592
SHA256: 8f1fdbf60caef7f0f3ac85c80fd56c530172c9f31277ec139fdfa00604224862
SHA512: 1ce598d0dcb452ca37c5c67be1a8f8bdd13337696725b2011a234b60eb7dc991a0716268176e1a2be26cefd92600d61baff61038950d9dc8900c94b6746d73f7
Homepage: https://cran.r-project.org/package=akmbiclust
Description: CRAN Package 'akmbiclust' (Alternating K-Means Biclustering)
 Implements the alternating k-means biclustering algorithm in Fraiman and Li
 (2020) <arXiv:2009.04550>.

Package: r-cran-akmeans
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-akmeans_1.1-1.ca2004.1_all.deb
Size: 24520
MD5sum: 5175d4a2cef0a35eb6cb18cce9fa3aea
SHA1: 3cee393cc7f422b18f0112da0860488bfd566a01
SHA256: f5bd5c4dbf24ca9a2f4fc1b82eadc37cc7b161eefa6ee53d29e8ab39a721008c
SHA512: 00afb8900117ce8af399669fcc30cd6c61d4887d7e002a950b7c89c4e4bea05f69615112faa1a580e05e3a7a7fdb4d97367b68e53735f78216438313aea6f354
Homepage: https://cran.r-project.org/package=akmeans
Description: CRAN Package 'akmeans' (Adaptive Kmeans algorithm based on threshold)
 Adaptive K-means algorithm with various threshold settings.  It support two
 distance metric: Euclidean distance, Cosine distance (1 - cosine similarity)
 In version 1.1, it contains one more threshold condition.

Package: r-cran-akmedoids
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kml, r-cran-dplyr, r-cran-signal, r-cran-hmisc, r-cran-ggplot2, r-cran-clustercrit
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-digest, r-cran-gdtools, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-akmedoids_1.3.0-1.ca2004.1_all.deb
Size: 328188
MD5sum: c8dc6452b6c041d515505f7ba587fe9e
SHA1: be3856c650caea8a330169fd400d3b8eb4b0b6ce
SHA256: acf4f0ed04cf78f4ddeb60b2845edf2d5ddeee13f12871996d62c193a220c6b1
SHA512: 0f5ec70d3c2913b988742f0e4ae2fd148f1db73200edcd3c8a21198424683bddb5bb70b4eafcc08cccae688a723a763de2d43f35b93bfa14467e0c13174a4a75
Homepage: https://cran.r-project.org/package=akmedoids
Description: CRAN Package 'akmedoids' (Anchored Kmedoids for Longitudinal Data Clustering)
 Advances a novel adaptation of longitudinal k-means clustering technique
 (Genolini et al. (2015) <doi:10.18637/jss.v065.i04>) for grouping
 trajectories based on the similarities of their long-term trends and
 determines the optimal solution based on either the average silhouette width
 (Rousseeuw P. J. 1987) or the Calinski-Harabatz criterion (Calinski and
 Harabatz (1974) <doi:10.1080/03610927408827101>). Includes functions to
 extract descriptive statistics and generate a visualisation of the resulting
 groups, drawing methods from the 'ggplot2' library (Wickham H. (2016)
 <doi:10.1007/978-3-319-24277-4>). The package also includes a number of
 other useful functions for exploring and manipulating longitudinal data
 prior to the clustering process.

Package: r-cran-alabama
Architecture: all
Version: 2023.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-alabama_2023.1.0-1.ca2004.1_all.deb
Size: 71868
MD5sum: b15ac9a1772fb587fe2fc537963e3926
SHA1: d00053d6f450b96f09eb8ce59429b8677cd86a94
SHA256: b338de52cb83687dbf13bf367dfad429dd557f1f41fb7906a5ee11db7dc77e68
SHA512: 281de9a1ed6e10371c51c23d827ea0303fc7d9eca16e28e62cd2eb045734350a777a0b2788e365cace8c3bc0c039b80dd6208253b9b7cdd245c2a89585e85a9e
Homepage: https://cran.r-project.org/package=alabama
Description: CRAN Package 'alabama' (Constrained Nonlinear Optimization)
 Augmented Lagrangian Adaptive Barrier Minimization Algorithm for optimizing
 smooth nonlinear objective functions with constraints. Linear or nonlinear
 equality and inequality constraints are allowed.

Package: r-cran-alarmdata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-sf, r-cran-dataverse, r-cran-censable, r-cran-geomander, r-cran-tidyselect, r-cran-redist, r-cran-redistmetrics, r-cran-tinytiger, r-cran-rappdirs
Suggests: r-cran-rstudioapi, r-cran-rmapshaper, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-alarmdata_0.2.1-1.ca2004.1_all.deb
Size: 444916
MD5sum: 5d1807576473383e13a8f08f1ab09a36
SHA1: 3696e0eec2dab92d9740dca9cb50925913b13ffb
SHA256: 615d412341da901d7d0e28d1e8a4a2cd27cb3bb249f7f97700a344a9c6433cda
SHA512: b4bbe043ff20b4a903992a9514b1268d62de0800b68431f624dcda7bc0a8783b8d3c40c0ac54dfd75c8100cef78ed6b6e142ad8c013bd4139629062cd8a35d1f
Homepage: https://cran.r-project.org/package=alarmdata
Description: CRAN Package 'alarmdata' (Download, Merge, and Process Redistricting Data)
 Utility functions to download and process data produced by the ALARM
 Project, including 2020 redistricting files Kenny and McCartan (2021)
 <https://alarm-redist.org/posts/2021-08-10-census-2020/> and the 50-State
 Redistricting Simulations of McCartan, Kenny, Simko, Garcia, Wang, Wu,
 Kuriwaki, and Imai (2022) <doi:10.7910/DVN/SLCD3E>. The package extends the
 data introduced in McCartan, Kenny, Simko, Garcia, Wang, Wu, Kuriwaki, and
 Imai (2022) <doi:10.1038/s41597-022-01808-2> to also include states with
 only a single district.

Package: r-cran-albatross
Architecture: all
Version: 0.3-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 806
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multiway, r-cran-cmls, r-cran-pracma, r-cran-lattice, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-albatross_0.3-8-1.ca2004.1_all.deb
Size: 507320
MD5sum: d36fb532259ee4e192dc36dba269871d
SHA1: 1977f90cce2aefc12a8eff8c7ffaea647c68cd83
SHA256: df5dcbef8349d562314dc47ecf83b684087e62ced6dd081d99f68182142548db
SHA512: 3ccc8d338b2fad50be635499b7aa6bf83b7b588f8dbb5f11be3439a9583c43251fe7598ac285e99468b68525ca320e75605917fff89814ba514fb3b40a7af4f5
Homepage: https://cran.r-project.org/package=albatross
Description: CRAN Package 'albatross' (PARAFAC Analysis of Fluorescence Excitation-Emission Matrices)
 Perform parallel factor analysis (PARAFAC: Hitchcock, 1927)
 <doi:10.1002/sapm192761164> on fluorescence excitation-emission matrices:
 handle scattering signal and inner filter effect, scale the dataset, fit the
 model; perform split-half validation or jack-knifing. Modified approaches
 such as Whittaker interpolation, randomised split-half, and fluorescence and
 scattering model estimation are also available. The package has a low
 dependency footprint and has been tested on a wide range of R versions.

Package: r-cran-albi
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-albi_0.1.7-1.ca2004.1_all.deb
Size: 107868
MD5sum: 9118fcb44e47e6642c0e52be85dc7199
SHA1: 31bdeabf9cac70a61e6e20dbfb9c0472d1ba7125
SHA256: a0c10f5cbcfc430388e8ea2ae442b0cd8398747bf96854f4229800320bdea9a6
SHA512: dc97e7506e1d4dac2a344cac00c14c3cd10fd44b9ac27c46699c18a86c24e585762b9733bc19fc1ac047075ec99fb03ff0b4d9deadec860dd5b3ebd4ad9ef4d7
Homepage: https://cran.r-project.org/package=aLBI
Description: CRAN Package 'aLBI' (Estimating Length-Based Indicators for Fish Stock)
 Provides tools for estimating length-based indicators from length frequency
 data to assess fish stock status and manage fisheries sustainably.
 Implements methods from Cope and Punt (2009) <doi:10.1577/C08-025.1> for
 data-limited stock assessment and Froese (2004)
 <doi:10.1111/j.1467-2979.2004.00144.x> for detecting overfishing using
 simple indicators. Key functions include: FrequencyTable(): Calculate the
 frequency table from the collected and also the extract the length frequency
 data from the frequency table with the upper length_range. A numeric value
 specifying the bin width for class intervals. If not provided, the bin width
 is automatically calculated using Sturges (1926)
 <doi:10.1080/01621459.1926.10502161> formula.  CalPar(): Calculates various
 lengths used in fish stock assessment as biological length indicators such
 as asymptotic length (Linf), maximum length (Lmax), length at sexual
 maturity (Lm), and optimal length (Lopt).  FishPar(): Calculates
 length-based indicators (LBIs) proposed by Froese (2004)
 <doi:10.1111/j.1467-2979.2004.00144.x> such as the percentage of mature fish
 (Pmat), percentage of optimal length fish (Popt), percentage of mega
 spawners (Pmega), and the sum of these as Pobj. This function also estimates
 confidence intervals for different lengths, visualizes length frequency
 distributions, and provides data frames containing calculated values.
 FishSS(): Makes decisions based on input from Cope and Punt (2009)
 <doi:10.1577/C08-025.1> and parameters calculated by FishPar() (e.g., Pobj,
 Pmat, Popt, LM_ratio) to determine stock status as target spawning biomass
 (TSB40) and limit spawning biomass (LSB25). These tools support fisheries
 management decisions by providing robust, data-driven insights.

Package: r-cran-albopictus
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-albopictus_0.5-1.ca2004.1_all.deb
Size: 117808
MD5sum: fbf5ac235d420bcb9dc92c1bdffb599f
SHA1: 4224e87b5dd9615f4def34e95a81facc8500476a
SHA256: 7702386b4c4f61e9093152c274f1cc89fa2b10e6eac699939e6ca8f127ec7371
SHA512: 4ee6eb06a14202d459418e94f144e2c71d228518a18b88d108e43bb8e6ae04059d45e875e8000b6755519dcb496ca460eb66835bbfa31f25c77d364c49e61831
Homepage: https://cran.r-project.org/package=albopictus
Description: CRAN Package 'albopictus' (Age-Structured Population Dynamics Model)
 Implements discrete time deterministic and stochastic age-structured
 population dynamics models described in Erguler and others (2016)
 <doi:10.1371/journal.pone.0149282> and Erguler and others (2017)
 <doi:10.1371/journal.pone.0174293>.

Package: r-cran-alcoholsurv
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sensitivitymv
Suggests: r-cran-survival, r-cran-itos, r-cran-coin
Filename: pool/dists/focal/main/r-cran-alcoholsurv_0.7.0-1.ca2004.1_all.deb
Size: 125032
MD5sum: ac00d1c77e9a5b58414e95adda5804b5
SHA1: 9a339784f10d3858efc7b7989449ddaf66423edf
SHA256: 548d9853143dfefdcc6026cf05e998b885b08773b3eac83634b56e6961e1bf2f
SHA512: a409d92365e4c7a42c564068bb8daffd7b1cbbbe90fdc95543cdd1c515c6ebf8d9ef0bca38b15453c192554efaaaf02bacb1ba6abfd0dd596336d7336d508a44
Homepage: https://cran.r-project.org/package=alcoholSurv
Description: CRAN Package 'alcoholSurv' (Light Daily Alcohol and Longevity)
 Contains data from an observational study concerning possible effects of
 light daily alcohol consumption on survival and on HDL cholesterol.  It also
 replicates various simple analyses in Rosenbaum (2025a)
 <doi:10.1080/09332480.2025.2473291>.  Finally, it includes new R code in
 wgtRankCef() that implements and replicates a new method for constructing
 evidence factors in observational block designs.

Package: r-cran-ald
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ald_1.3.1-1.ca2004.1_all.deb
Size: 43392
MD5sum: d160d34aef74b1576d66a6348f7c37db
SHA1: 3f0f08b07c908766e444efce2f7a1c98b1fab6e8
SHA256: f7829e71d421d549c3abd60a33bba00613bf72d7811cd90b6372d800f7f6d4ad
SHA512: 860a881f20061c27e8472d2d66f43f568d5418a93e753a688138218f39ec6d7781d9a8fca7f33333b3639db36a53f7ff3d99d1c65d589ebdd9db365a1795c66c
Homepage: https://cran.r-project.org/package=ald
Description: CRAN Package 'ald' (The Asymmetric Laplace Distribution)
 It provides the density, distribution function, quantile function, random
 number generator, likelihood function, moments and Maximum Likelihood
 estimators for a given sample, all this for the three parameter Asymmetric
 Laplace Distribution defined in Koenker and Machado (1999). This is a
 special case of the skewed family of distributions available in Galarza
 et.al. (2017) <doi:10.1002/sta4.140> useful for quantile regression.

Package: r-cran-aldqr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hyperbolicdist, r-cran-sn
Filename: pool/dists/focal/main/r-cran-aldqr_1.0-1.ca2004.1_all.deb
Size: 39820
MD5sum: aad9cdb5f0c923adffaf8d0d5f745194
SHA1: 9e2e785e4b2a839296860a5d227e0e0352579821
SHA256: 8357b5b29278c30fdbedfc19d5183397181c5f0daaf2ecc6b4785366cb4a3f6f
SHA512: 8a7e118aa5df18d5b317ecd8cc73b2800764696345d812af0cbb9fac4c167b2ca5c0a8a67fd066aafc6046575d757ecedb1dd4153d732a7c81505a64b1753591
Homepage: https://cran.r-project.org/package=ALDqr
Description: CRAN Package 'ALDqr' (Quantile Regression Using Asymmetric Laplace Distribution)
 EM algorithm for estimation of parameters and other methods in a quantile
 regression.

Package: r-cran-aldvmm
Architecture: all
Version: 0.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 903
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv, r-cran-checkmate, r-cran-optimx, r-cran-formula, r-cran-sandwich, r-cran-lmtest
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-markdown, r-cran-tinytex, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-bookdown, r-cran-xtable, r-cran-ggplot2, r-cran-scales, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-aldvmm_0.8.8-1.ca2004.1_all.deb
Size: 504024
MD5sum: 14a7f3354583db8b9b29a529877b1c60
SHA1: 4b1b48821df18727ca002420fc24fe221c5806d3
SHA256: 4d254891c060fea04fa9afc1cff046832050adcf37ef078516feddb43116b0b8
SHA512: d7e5808f0fadd628245433bae689d6450e2335ced671c0a729770affc57c5a794b173ff0752cc821d587c0de701a2ae9e6f6c01d8eeda3a922c18f0922698990
Homepage: https://cran.r-project.org/package=aldvmm
Description: CRAN Package 'aldvmm' (Adjusted Limited Dependent Variable Mixture Models)
 The goal of the package 'aldvmm' is to fit adjusted limited dependent
 variable mixture models of health state utilities. Adjusted limited
 dependent variable mixture models are finite mixtures of normal
 distributions with an accumulation of density mass at the limits, and a gap
 between 100% quality of life and the next smaller utility value. The package
 'aldvmm' uses the likelihood and expected value functions proposed by
 Hernandez Alava and Wailoo (2015) <doi:10.1177/1536867X1501500307> using
 normal component distributions and a multinomial logit model of
 probabilities of component membership.

Package: r-cran-ale
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2021
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-insight, r-cran-patchwork, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-s7, r-cran-staccuracy, r-cran-stringr, r-cran-tidyr, r-cran-univariateml
Suggests: r-cran-aleplot, r-cran-gbm, r-cran-knitr, r-cran-mgcv, r-cran-nnet, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-yaimpute
Filename: pool/dists/focal/main/r-cran-ale_0.5.0-1.ca2004.1_all.deb
Size: 1507496
MD5sum: d1f959d714f08acaf10e18fe064912c0
SHA1: 159d054ded3ee17b133a86760b1eac23ce1fa4e1
SHA256: 4cf8ef5f4007342b8ad22d42ed3a9d39a005bff700db61fdbf7ce6ade49cedbf
SHA512: 78bf1c4917a97bf2f796364f22fe18daf562056d7269c9a1d76221fa9a691e710291fdfd9fabf04ceb372abca3aec1a03971e9ad7ffe9afc42f42ee823177e1f
Homepage: https://cran.r-project.org/package=ale
Description: CRAN Package 'ale' (Interpretable Machine Learning and Statistical Inference withAccumulated Local Effects (ALE))
 Accumulated Local Effects (ALE) were initially developed as a model-agnostic
 approach for global explanations of the results of black-box machine
 learning algorithms. ALE has a key advantage over other approaches like
 partial dependency plots (PDP) and SHapley Additive exPlanations (SHAP): its
 values represent a clean functional decomposition of the model. As such, ALE
 values are not affected by the presence or absence of interactions among
 variables in a mode. Moreover, its computation is relatively rapid. This
 package reimplements the algorithms for calculating ALE data and develops
 highly interpretable visualizations for plotting these ALE values. It also
 extends the original ALE concept to add bootstrap-based confidence intervals
 and ALE-based statistics that can be used for statistical inference. For
 more details, see Okoli, Chitu. 2023. “Statistical Inference Using Machine
 Learning and Classical Techniques Based on Accumulated Local Effects (ALE).”
 arXiv. <doi:10.48550/arXiv.2310.09877>.

Package: r-cran-aleplot
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 823
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaimpute
Suggests: r-cran-r.rsp, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-aleplot_1.1-1.ca2004.1_all.deb
Size: 632628
MD5sum: 7f345ffcf8c888915427e62f65cbc524
SHA1: f26f9eca59a0a318ff3c096aee0a869849294466
SHA256: 7650930d1600c3157037427ac0a3ca067891d7545ba3f5debfe118e76f374058
SHA512: 0bf495adf1a9472344ac71a90e68d78ebc4e58b7560d0f11ed56cc14d976b25d942c4b89c7790f9e14b921435afffd44c8187b9f0b1cb3429c446a3f42b9f111
Homepage: https://cran.r-project.org/package=ALEPlot
Description: CRAN Package 'ALEPlot' (Accumulated Local Effects (ALE) Plots and Partial Dependence(PD) Plots)
 Visualizes the main effects of individual predictor variables and their
 second-order interaction effects in black-box supervised learning models.
 The package creates either Accumulated Local Effects (ALE) plots and/or
 Partial Dependence (PD) plots, given a fitted supervised learning model.

Package: r-cran-alfq
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-plyr, r-cran-caret, r-cran-seqinr, r-cran-lattice, r-cran-randomforest, r-cran-rocr, r-cran-reshape2, r-cran-bio3d
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-alfq_1.3.6-1.ca2004.1_all.deb
Size: 259116
MD5sum: cc3da7c83e29fbd808c9426927e9b55d
SHA1: 73b0d2d90896d9b4434ed2e768db20b63a5652d1
SHA256: ae87532ce8ae3449092c9eeef2843c1141af2ae03570dc2d330f520d6df37801
SHA512: 90dbe4c4f179677e475775514f26e9ad13dd61be1dc82a4dd4e307e5010b5afef79a4f92c7ac4432e5faf5b2a010392352450077774264be56a9887be9ce317d
Homepage: https://cran.r-project.org/package=aLFQ
Description: CRAN Package 'aLFQ' (Estimating Absolute Protein Quantities from Label-Free LC-MS/MSProteomics Data)
 Determination of absolute protein quantities is necessary for multiple
 applications, such as mechanistic modeling of biological systems.
 Quantitative liquid chromatography tandem mass spectrometry (LC-MS/MS)
 proteomics can measure relative protein abundance on a system-wide scale. To
 estimate absolute quantitative information using these relative abundance
 measurements requires additional information such as heavy-labeled
 references of known concentration. Multiple methods have been using
 different references and strategies; some are easily available whereas
 others require more effort on the users end. Hence, we believe the field
 might benefit from making some of these methods available under an automated
 framework, which also facilitates validation of the chosen strategy. We have
 implemented the most commonly used absolute label-free protein abundance
 estimation methods for LC-MS/MS modes quantifying on either MS1-, MS2-levels
 or spectral counts together with validation algorithms to enable automated
 data analysis and error estimation. Specifically, we used Monte-carlo
 cross-validation and bootstrapping for model selection and imputation of
 proteome-wide absolute protein quantity estimation. Our open-source software
 is written in the statistical programming language R and validated and
 demonstrated on a synthetic sample.

Package: r-cran-alfr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-devtools, r-cran-httptest, r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-remotes, r-cran-spelling, r-cran-fs
Filename: pool/dists/focal/main/r-cran-alfr_1.2.1-1.ca2004.1_all.deb
Size: 51124
MD5sum: 65b039fe3f686680117f371883713c56
SHA1: 08592c4f6685fa4b8e14fee42cc6bc3cb5c55118
SHA256: 257c28666cc143efaefa4f516d583e3997ea035fe0d039a64d1302895d8ca7b1
SHA512: a8985b2bcacb5e171192b470338c4b49dc9688cf46172d498899f5cd182738791e88c8da68ec9b9ec9d196e2ba308ec5859535a84fa8e8e50b225c2fb74a55f1
Homepage: https://cran.r-project.org/package=alfr
Description: CRAN Package 'alfr' (Connectivity to 'Alfresco' Content Management Repositories)
 Allows you to connect to an 'Alfresco' content management repository and
 interact with its contents using simple and intuitive functions.  You will
 be able to establish a connection session to the 'Alfresco' repository, read
 and upload content and manage folder hierarchies.  For more details on the
 'Alfresco' content management repository see
 <https://www.alfresco.com/ecm-software/document-management>.

Package: r-cran-alfred
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyselect, r-cran-tidyr, r-cran-tibble, r-cran-magrittr, r-cran-lubridate, r-cran-jsonlite, r-cran-rlang, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-alfred_0.2.1-1.ca2004.1_all.deb
Size: 19312
MD5sum: 3c545690ff84983961f33c9841c8dafc
SHA1: a22d85a8630d26cd2b546bf95e930e635f6c2af9
SHA256: 44020353ad11597f6e1277e1acc686fa2f2f010635fd89a26eea042ed7cdc16a
SHA512: 2de6dfd19e33efefac22b8334536991371e29288267a55776135a7318a1b1d5d00c3b862aac3466f7e5c7956e852ece441b5929ad0e66f96fa0f41cf5dd14da8
Homepage: https://cran.r-project.org/package=alfred
Description: CRAN Package 'alfred' (Downloading Time Series from ALFRED Database for VariousVintages)
 Provides direct access to the ALFRED (<https://alfred.stlouisfed.org>) and
 FRED (<https://fred.stlouisfed.org>) databases.  Its functions return tidy
 data frames for different releases of the specified time series.  Note that
 this product uses the FRED© API but is not endorsed or certified by the
 Federal Reserve Bank of St. Louis.

Package: r-cran-algaeclassify
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lubridate, r-cran-ritis, r-cran-curl, r-cran-jsonlite, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-algaeclassify_2.0.4-1.ca2004.1_all.deb
Size: 228784
MD5sum: db46d7187dc7778c4a6c4b53c50285ca
SHA1: d40bd3c60741d72db7d2b53805d55019fef679bc
SHA256: 4de9de12eea4f720fdf280bdf1e7312ec852c81df6e5c88b1b2a0751cdc06680
SHA512: 8fedf3691b06b2b682b58d81db20ff019a8d14ef4940bd62f2f53eebdfc44886d49d70f60cd0a93dec7ba111755393e31d4b2820f7a2ba602d00c6b18d3358b4
Homepage: https://cran.r-project.org/package=algaeClassify
Description: CRAN Package 'algaeClassify' (Tools to Query the 'Algaebase' Online Database, StandardizePhytoplankton Taxonomic Data, and Perform Functional GroupClassifications)
 Functions that facilitate the use of accepted taxonomic nomenclature,
 collection of functional trait data, and assignment of functional group
 classifications to phytoplankton species. Possible classifications include
 Morpho-functional group (MFG; Salmaso et al. 2015 <doi:10.1111/fwb.12520>)
 and CSR (Reynolds 1988; Functional morphology and the adaptive strategies of
 phytoplankton. In C.D. Sandgren (ed). Growth and reproductive strategies of
 freshwater phytoplankton, 388-433. Cambridge University Press, New York).
 Versions 2.0.0 and later includes new functions for querying the 'algaebase'
 online taxonomic database (www.algaebase.org), however these functions
 require a valid API key that must be acquired from the 'algaebase'
 administrators.  Note that none of the 'algaeClassify' authors are
 affiliated with 'algaebase' in any way. Taxonomic names can also be checked
 against a variety of taxonomic databases using the 'Global Names Resolver'
 service via its API (<https://resolver.globalnames.org/api>). In addition,
 currently accepted and outdated synonyms, and higher taxonomy, can be
 extracted for lists of species from the 'ITIS' database using wrapper
 functions for the ritis package.  The 'algaeClassify' package is a product
 of the GEISHA (Global Evaluation of the Impacts of Storms on freshwater
 Habitat and Structure of phytoplankton Assemblages), funded by CESAB (Centre
 for Synthesis and Analysis of Biodiversity) and the U.S. Geological Survey
 John Wesley Powell Center for Synthesis and Analysis, with data and other
 support provided by members of GLEON (Global Lake Ecology Observation
 Network).  DISCLAIMER: This software has been approved for release by the
 U.S. Geological Survey (USGS). Although the software has been subjected to
 rigorous review, the USGS reserves the right to update the software as
 needed pursuant to further analysis and review. No warranty, expressed or
 implied, is made by the USGS or the U.S. Government as to the functionality
 of the software and related material nor shall the fact of release
 constitute any such warranty. Furthermore, the software is released on
 condition that neither the USGS nor the U.S. Government shall be held liable
 for any damages resulting from its authorized or unauthorized use.

Package: r-cran-algebraichaplopackage
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-algebraichaplopackage_1.2-1.ca2004.1_all.deb
Size: 88880
MD5sum: 602f277faaae2dbd011d12b6eb6a2fd1
SHA1: 0770225bac95affee644cdff13d2a97dec3f3f39
SHA256: a56ad0136b9465d66e11a081af5296c54d48b213c8783bd0f513f47b3c5e7386
SHA512: 3f0280a334f7fe1cb3d0c11caf32a25d57a4413de7c8245cc123b388cb68982029f6faa652129fac7844f0fcede62e49bdeb3acd819c098bd7783c5ea55f3928
Homepage: https://cran.r-project.org/package=AlgebraicHaploPackage
Description: CRAN Package 'AlgebraicHaploPackage' (Haplotype Two Snips Out of a Paired Group of Patients)
 Two unordered pairs of data of two different snips positions is haplotyped
 by resolving a small number ob closed equations.

Package: r-cran-algo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-algo_0.1.0-1.ca2004.1_all.deb
Size: 17008
MD5sum: 965f001b15d838e9a8904a9ad4c0d51f
SHA1: 8931664a7bbf3e2f20024ce9f6b051a7a0b374d7
SHA256: 3087f2ea3e572c45e7c5bd2c6aa1d3d337c6fef899fb4fd93a09cc534d7fce75
SHA512: 4d97b7ba3167e6e38b1d0cd19840640598d95d911a4b66eb3d2b0b00e84f8777d7063a85adb8f023edc738a5e18d835506ba57899f9e15b0640f65a28213fe12
Homepage: https://cran.r-project.org/package=algo
Description: CRAN Package 'algo' (Implement an Address Search Auto Completion Menu on 'Shiny' TextInputs Using the 'Algolia Places' 'Javascript' Library)
 Allows the user to implement an address search auto completion menu on
 'shiny' text inputs.  This is done using the 'Algolia Places' 'JavaScript'
 library. See <https://community.algolia.com/places/>.

Package: r-cran-algorithmia
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-base64enc, r-cran-httr, r-cran-rjson
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-runit
Filename: pool/dists/focal/main/r-cran-algorithmia_0.3.0-1.ca2004.1_all.deb
Size: 225040
MD5sum: e917835182c644ac130a9a11025d47e7
SHA1: 693b2e1c4f9ba49ecb3de4f5eed2f7e857a27cc1
SHA256: 6df64b60be9adf12d64a4bf842f6e9560d8e444e612824184829a7a6dd840539
SHA512: d8fd665ef4214b41bcbdd3e46350d19be61920c8aff7683d0002db180a9fbd436ce9cd908896adc8d4c72edfc85d4066b9472b31eddaea1e4ab28d31d0f2e178
Homepage: https://cran.r-project.org/package=algorithmia
Description: CRAN Package 'algorithmia' (Allows you to Easily Interact with the Algorithmia Platform)
 The company, Algorithmia, houses the largest marketplace of online
 algorithms. This package essentially holds a bunch of REST wrappers that
 make it very easy to call algorithms in the Algorithmia platform and access
 files and directories in the Algorithmia data API. To learn more about the
 services they offer and the algorithms in the platform visit
 <http://algorithmia.com>. More information for developers can be found at
 <https://algorithmia.com/developers>.

Package: r-cran-aliases2entrez
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2010
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-bioc-limma, r-bioc-org.hs.eg.db, r-bioc-annotationdbi, r-cran-foreach, r-cran-readr, r-cran-rcurl
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-aliases2entrez_0.1.2-1.ca2004.1_all.deb
Size: 565296
MD5sum: 90100ce35e2f9efd0899ea821ee7199a
SHA1: 7365ebe7dd4dfde83f797678f1c847289af3cb95
SHA256: 0f8fe215f3ee1cebc3ffb783a6b9286fd2dabef48d3df73b4b6179832eb79506
SHA512: 82288bd0f355aa976854f6908030d7191e3dda78ae0ed072b7cec97fa3c93a4f6afe96d2cf02a43b7c6b50d4d61828f471c2025127c514e982c2c647b9abe403
Homepage: https://cran.r-project.org/package=aliases2entrez
Description: CRAN Package 'aliases2entrez' (Converts Human gene symbols to entrez IDs)
 Queries multiple resources authors HGNC (2019) <https://www.genenames.org>,
 authors limma (2015) <doi:10.1093/nar/gkv007> to find the correspondence
 between evolving nomenclature of human gene symbols, aliases, previous
 symbols or synonyms with stable, curated gene entrezID from NCBI database.
 This allows fast, accurate and up-to-date correspondence between human gene
 expression datasets from various date and platform (e.g: gene symbol: BRCA1
 - ID: 672).

Package: r-cran-alien
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-helpersmg, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-bh, r-cran-knitr, r-cran-purrr, r-cran-rcpp, r-cran-rcppeigen, r-cran-rcppparallel, r-cran-rmarkdown, r-cran-rstan, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-alien_1.0.2-1.ca2004.1_all.deb
Size: 136356
MD5sum: e9b82754bb1a1a8278860f06e8706120
SHA1: 18720e329d6d2d5c848aaa59d86be7acb9fe2e44
SHA256: 4831bc4e73bed6a0d2c5eb84259397bdaf6003b56a9fd79c0008f2e46d894164
SHA512: ce35ee5549c1b055b003d1e54190aa7c37ab6241404204feea56e2a4c2d0fcdd902133b0f4b5ed633fe63d7fd194f8c23610550c8adbe3520b4f1813233ba495
Homepage: https://cran.r-project.org/package=alien
Description: CRAN Package 'alien' (Estimate Invasive and Alien Species (IAS) Introduction Rates)
 Easily estimate the introduction rates of alien species given first records
 data.  It specializes in addressing the role of sampling on the pattern of
 discoveries, thus providing better estimates than using Generalized Linear
 Models which assume perfect immediate detection of newly introduced species.

Package: r-cran-align
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matlab
Filename: pool/dists/focal/main/r-cran-align_0.1.0-1.ca2004.1_all.deb
Size: 30224
MD5sum: bacbbd5553c2067fdf63ab1ddc0eeac0
SHA1: 863f66fa8dc7a1f1431d312a26e9020d89109c58
SHA256: 4aaab92e39a762a2390820b772713e50fc95fc927eae60484fb9ba877e283d5b
SHA512: c265668c7a87548b706cca963bbd0c9e1f1cbd7fce83a0d6a3adba05bc0475a0fc39e5c4a810fc62e06627ebf91aacaa369bfef3503c87516b7d1c2ac84b6a89
Homepage: https://cran.r-project.org/package=align
Description: CRAN Package 'align' (A Modified DTW Algorithm for Stratigraphic Time Series Alignment)
 A dynamic time warping (DTW) algorithm for stratigraphic alignment,
 translated into R from the original published 'MATLAB' code by Hay et al.
 (2019) <doi:10.1130/G46019.1>. The DTW algorithm incorporates two
 geologically relevant parameters (g and edge) for augmenting the typical DTW
 cost matrix, allowing for a range of sedimentologic and chronologic
 conditions to be explored, as well as the generation of an alignment library
 (as opposed to a single alignment solution). The g parameter relates to the
 relative sediment accumulation rate between the two time series records,
 while the edge parameter relates to the amount of total shared time between
 the records. Note that this algorithm is used for all DTW alignments in the
 Align Shiny application, detailed in Hagen et al. (in review).

Package: r-cran-alignfigr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-alignfigr_0.1.1-1.ca2004.1_all.deb
Size: 131708
MD5sum: 2c674eda7f003ffddb1535bd8eec3e89
SHA1: 9d2f78e43f710a406f251b528b189fbda435ab69
SHA256: 413df11b5204ea6f77b58757a22c014d9aa86866810603a130041c0b966bc694
SHA512: a6ba652d231d8b76aa67c3e99184b486dee438dacead7fd3bc704802378f1ff3958c8bb7fc5a11d2721a7aa08f204f07cc24d901f9a4fb273a71c6aa04fc0361
Homepage: https://cran.r-project.org/package=alignfigR
Description: CRAN Package 'alignfigR' (Visualizing Multiple Sequence Alignments with 'ggplot2')
 Create extensible figures of multiple sequence alignments, using the
 'ggplot2' plotting engine. 'alignfigr' will create a baseline figure of a
 multiple sequence alignment which can be fully customized to the user's
 liking with standard 'ggplot2' features.

Package: r-cran-alignlv
Architecture: all
Version: 0.1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-mirt, r-cran-lavaan, r-cran-magrittr, r-cran-purrr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-dorng, r-cran-doparallel, r-cran-foreach, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-alignlv_0.1.0.0-1.ca2004.1_all.deb
Size: 90472
MD5sum: 64a4d4aec3b176fe18a0d800ac25628d
SHA1: 1833c0426052e4f16d7abe2c2d67457c45e030d8
SHA256: 72a520f6274250101822d3db0c68884fc70ff417ff821262ecee688665a08211
SHA512: 7b81313db0f5037b48cbed44699da741cfec0f74e428736e253e1f283b7ad6dd7fc57e68417c12b2f4a451a831243fe5c789bb7cde30505d3153a5258d007dca
Homepage: https://cran.r-project.org/package=AlignLV
Description: CRAN Package 'AlignLV' (Multiple Group Item Response Theory Alignment Helpers for'lavaan' and 'mirt')
 Allows for multiple group item response theory alignment a la 'Mplus' to be
 applied to lists of single-group models estimated in 'lavaan' or 'mirt'.
 Allows item sets that are overlapping but not identical, facilitating
 alignment in secondary data analysis where not all items may be shared
 across assessments.

Package: r-cran-alkahest
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1324
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-matrix, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-alkahest_1.3.0-1.ca2004.1_all.deb
Size: 1059200
MD5sum: 2407c201d6d48d820e1a5f2dc16afcde
SHA1: 873784ed53d86d2e20bb24f1de10b2621305e37a
SHA256: 44f33af6524eb37a298aab55f7fc602d3e3d2858c2c4d54e4fff10f7f3129aa4
SHA512: 65ee7efbe2db03f46caa2196e7deb54ddf1b9b369bc8f9ba978e762b07442250c209487ab081592cd53af32b4cce37a14f6c8bf9acef2ef9a8b1170a7e5dcdea
Homepage: https://cran.r-project.org/package=alkahest
Description: CRAN Package 'alkahest' (Pre-Processing XY Data from Experimental Methods)
 A lightweight, dependency-free toolbox for pre-processing XY data from
 experimental methods (i.e. any signal that can be measured along a
 continuous variable). This package provides methods for baseline estimation
 and correction, smoothing, normalization, integration and peaks detection.
 Baseline correction methods includes polynomial fitting as described in
 Lieber and Mahadevan-Jansen (2003) <doi:10.1366/000370203322554518>, Rolling
 Ball algorithm after Kneen and Annegarn (1996)
 <doi:10.1016/0168-583X(95)00908-6>, SNIP algorithm after Ryan et al. (1988)
 <doi:10.1016/0168-583X(88)90063-8>, 4S Peak Filling after Liland (2015)
 <doi:10.1016/j.mex.2015.02.009> and more.

Package: r-cran-allcontributors
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1526
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-clipr, r-cran-curl, r-cran-gert, r-cran-gh, r-cran-gitcreds, r-cran-magrittr
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-allcontributors_0.2.2-1.ca2004.1_all.deb
Size: 464632
MD5sum: bec3161e94513d727522df463db55a20
SHA1: 0edf19edae0b98516bebc082e1808378108ecafb
SHA256: 490107fe01b570dbd4147e4e2311487a341a5e45810bbd8318c3a7b31305d0cb
SHA512: c3a31b36d15ee15058d377d8e0a34fa2d31ce06cb2b69735f802eceac0f8d849d39a9007114b70936644f4b684cf61c700a6e97146a89f575a3d73675d5f7a4d
Homepage: https://cran.r-project.org/package=allcontributors
Description: CRAN Package 'allcontributors' (Acknowledge all Contributors to a Project)
 Acknowledge all contributors to a project via a single function call. The
 function appends to a 'README' or other specified file(s) a table with names
 of all individuals who contributed via code or repository issues.  The
 package also includes several additional functions to extract and quantify
 contributions to any repository.

Package: r-cran-allehap
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-allehap_0.9.9-1.ca2004.1_all.deb
Size: 582200
MD5sum: 891c51c8397466d71cb92e5d27933a48
SHA1: 63bdf7e4072650a4bc03cb0e150632a052c33187
SHA256: 260126f3c14e062049dfe32bededbe04ec4f5a9077726f2b0c7b829d9cd28441
SHA512: 4d20df05a76a3003034277ce5dbcf00c46d63197d6d03077c3a198b22b8cab2da5db2db14aed2fd62f924513c2c122aedaad00cd7ef776d84a54a143a21eec73
Homepage: https://cran.r-project.org/package=alleHap
Description: CRAN Package 'alleHap' (Allele Imputation and Haplotype Reconstruction from PedigreeDatabases)
 Tools to simulate alphanumeric alleles, impute genetic missing data and
 reconstruct non-recombinant haplotypes from pedigree databases in a
 deterministic way. Allelic simulations can be implemented taking into
 account many factors (such as number of families, markers, alleles per
 marker, probability and proportion of missing genotypes, recombination rate,
 etc).  Genotype imputation can be used with simulated datasets or real
 databases (previously loaded in .ped format). Haplotype reconstruction can
 be carried out even with missing data, since the program firstly imputes
 each family genotype (without a reference panel), to later reconstruct the
 corresponding haplotypes for each family member. All this considering that
 each individual (due to meiosis) should unequivocally have two alleles per
 marker (one inherited from each parent) and thus imputation and
 reconstruction results can be deterministically calculated.

Package: r-cran-allelematch
Architecture: all
Version: 2.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dynamictreecut
Filename: pool/dists/focal/main/r-cran-allelematch_2.5.4-1.ca2004.1_all.deb
Size: 212164
MD5sum: baaae6310021cf6f929ef7e84219b785
SHA1: 112189cfa128f72ad7e56b537a9904ed7c521490
SHA256: 5ca6a7fc79139d3603e64364a89ce4c566d27045341c053e58feb75a79190067
SHA512: e0bcf3c5f1d83a1bea93aeb9850423753d2fdff6e00725d0e1fb552f2985912444ae2b991cf89180b79f86f0bc55034962290a0b5780c9467af413d96f6dc7b4
Homepage: https://cran.r-project.org/package=allelematch
Description: CRAN Package 'allelematch' (Identifying Unique Multilocus Genotypes where Genotyping Errorand Missing Data may be Present)
 Tools for the identification of unique of multilocus genotypes when both
 genotyping error and missing data may be present; targeted for use with
 large datasets and databases containing multiple samples of each individual
 (a common situation in conservation genetics, particularly in non-invasive
 wildlife sampling applications). Functions explicitly incorporate missing
 data and can tolerate allele mismatches created by genotyping error. If you
 use this package, please cite the original publication in Molecular Ecology
 Resources (Galpern et al., 2012), the details for which can be generated
 using citation('allelematch'). For a complete vignette, please access via
 the Data S1 Supplementary documentation and tutorials (PDF) located at
 <doi:10.1111/j.1755-0998.2012.03137.x>.

Package: r-cran-alleleretain
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-pedigree
Filename: pool/dists/focal/main/r-cran-alleleretain_2.0.2-1.ca2004.1_all.deb
Size: 353764
MD5sum: bb4ae67f37abc9f455445656e000f477
SHA1: c39371598f9296eb5687855d384684840ed2e3ac
SHA256: 93dec4250f9008d422de5244d4f39c9d1d9dc0375cd5a81e85c2c632a8f92002
SHA512: ef1d34ac54a6a182d64a5e67789fb17976776cfca72530b496e527546438e46639c1e8af9594530d00e9a59ed129a48176c2cdde87c411ba7fa4e234ae25d2dc
Homepage: https://cran.r-project.org/package=AlleleRetain
Description: CRAN Package 'AlleleRetain' (Allele Retention, Inbreeding, and Demography)
 Simulate the effect of management or demography on allele retention and
 inbreeding accumulation in bottlenecked populations of animals with
 overlapping generations.

Package: r-cran-alleleshift
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vegan, r-cran-biodiversityr, r-cran-adegenet
Suggests: r-cran-poppr, r-cran-mgcv, r-cran-dplyr, r-cran-ggplot2, r-cran-ggally, r-cran-ggforce, r-cran-ggrepel, r-cran-ggsci, r-cran-gggibbous, r-cran-gganimate, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-alleleshift_1.1-2-1.ca2004.1_all.deb
Size: 571616
MD5sum: 4150823d61b12eef5cd61090b85d170c
SHA1: 0edbfb54ccd02d705c36959f5ff2b7d1caff525e
SHA256: 0025d1d798480f92d4c631581dcb292e40c9cd07dcb65a6d43c257bee111392a
SHA512: 0d821fe984ed87ad5851f63c607f46a24018d2a0cb834f3ea2064433e2425f802ddfd7d25149042036abcf3aabd5344e2069df26ef10d50f93f1eaad663ab0ba
Homepage: https://cran.r-project.org/package=AlleleShift
Description: CRAN Package 'AlleleShift' (Predict and Visualize Population-Level Changes in AlleleFrequencies in Response to Climate Change)
 Methods (<doi:10.7717/peerj.11534>) are provided of calibrating and
 predicting shifts in allele frequencies through redundancy analysis
 ('vegan::rda()') and generalized additive models ('mgcv::gam()').
 Visualization functions for predicted changes in allele frequencies include
 'shift.dot.ggplot()', 'shift.pie.ggplot()', 'shift.moon.ggplot()',
 'shift.waffle.ggplot()' and 'shift.surf.ggplot()' that are made with input
 data sets that are prepared by helper functions for each visualization
 method. Examples in the documentation show how to prepare animated climate
 change graphics through a time series with the 'gganimate' package. Function
 'amova.rda()' shows how Analysis of Molecular Variance can be directly
 conducted with the results from redundancy analysis.

Package: r-cran-allestimates
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-ggplot2, r-cran-survival, r-cran-tidyr, r-cran-stringr, r-cran-dplyr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-allestimates_0.2.3-1.ca2004.1_all.deb
Size: 270420
MD5sum: 81eef4be947da8f0a42114837f530098
SHA1: 9419bb18fe9887b134ae81dd70daac6886a08f7e
SHA256: 6f935936d06d912828784e605e81b8e556770233084c54645f9db6c6f05ecc47
SHA512: 556f1f3d627e2ceb165a6572a8fde5beaf32edde8d2f3b401ebbc0b238d6c020ba38d06d9e27a128921acf497c3ed5ee133050e8b7e8e14f66876cdeb0939f33
Homepage: https://cran.r-project.org/package=allestimates
Description: CRAN Package 'allestimates' (Effect Estimates from All Models)
 Estimates and plots effect estimates from models with all possible
 combinations of a list of variables. It can be used for assessing treatment
 effects in clinical trials or risk factors in bio-medical and
 epidemiological research. Like Stata command 'confall' (Wang Z (2007)
 <doi:10.1177/1536867X0700700203> ), 'allestimates' calculates and stores all
 effect estimates, and plots them against p values or Akaike information
 criterion (AIC) values. It currently has functions for linear regression:
 all_lm(), logistic and Poisson regression: all_glm(), and Cox proportional
 hazards regression: all_cox().

Package: r-cran-allhomes
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-htmltab, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-allhomes_0.3.0-1.ca2004.1_all.deb
Size: 68540
MD5sum: 786308137a74cc5361d03f7035e414e5
SHA1: f96bd5ea9165882524a04d1c830be11f6d8226af
SHA256: 06bc641a9e838ab03397ea29a407e762ac0065e73413ce50c1cf8fbba76801cb
SHA512: 33c4a55fe90bdcb44eb3485f3798955ea7e032e5fc79cbaf352698196648a4e656d07b1bde014e1f9e689e76d52b58baef0b79c76ca076b9c3cf83d1a2b44efb
Homepage: https://cran.r-project.org/package=allhomes
Description: CRAN Package 'allhomes' (Extract Past Sales Data from Allhomes.com.au)
 Extract past sales data for specific suburb(s) and year(s) from the
 Australian property website <https://www.allhomes.com.au>. Allhomes data
 include the address and property details, date and price of the sale, block
 size and unimproved value of properties mainly in the ACT and NSW.

Package: r-cran-allmetrics
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-allmetrics_0.2.1-1.ca2004.1_all.deb
Size: 12568
MD5sum: 0cd357aeb5bef306ecb973841daa25a7
SHA1: 9ad65e3a2c3cc1ce2c48588d9479a808b021efb4
SHA256: c7fc2484cb15d0eec827e0696d4d56f9c8f81a7b701b8656d1314949b32b98b5
SHA512: d2c2dbee59f947253071a26197ce3f15ad6e6311e52fecac9ab6245af83a7205b0373357e7c716a311ef4258a48546c5afd44ab546adc2b0fb21d7ffa5c8e249
Homepage: https://cran.r-project.org/package=AllMetrics
Description: CRAN Package 'AllMetrics' (Calculating Multiple Performance Metrics of a Prediction Model)
 Provides a function to calculate multiple performance metrics for actual and
 predicted values. In total eight metrics will be calculated for particular
 actual and predicted series. Helps to describe a Statistical model's
 performance in predicting a data. Also helps to compare various models'
 performance. The metrics are Root Mean Squared Error (RMSE), Relative Root
 Mean Squared Error (RRMSE), Mean absolute Error (MAE), Mean absolute
 percentage error (MAPE), Mean Absolute Scaled Error (MASE), Nash-Sutcliffe
 Efficiency (NSE), Willmott’s Index (WI), and Legates and McCabe Index (LME).
 Among them, first five are expected to be lesser whereas, the last three are
 greater the better. More details can be found from Garai and Paul (2023)
 <doi:10.1016/j.iswa.2023.200202> and Garai et al. (2024)
 <doi:10.1007/s11063-024-11552-w>.

Package: r-cran-allmt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1539
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-htmltable, r-cran-plyr, r-cran-readxl, r-cran-reshape2, r-cran-rio, r-cran-scales, r-cran-stringr, r-cran-survival, r-cran-survminer, r-cran-tibble
Suggests: r-cran-bibtex, r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-allmt_0.1.0-1.ca2004.1_all.deb
Size: 451980
MD5sum: a25b051f01543b3b7a787078010fdbd3
SHA1: ca6455ca69aa8bc7a379c331163efaa2ced3c19d
SHA256: 92d94098e1ff9912099e14cd0d8f4ed682d12b248d15befe392efffbcf60ed1d
SHA512: 0a35ad27c1723c919756603b39ce184d0e9ff27030cd12469b51828a0e5f518cd3e275ef848b0355d6e73dd12e14b7438ccf5ac5da847106e2a7e2cf814caa0e
Homepage: https://cran.r-project.org/package=allMT
Description: CRAN Package 'allMT' (Acute Lymphoblastic Leukemia Maintenance Therapy Analysis)
 Evaluates acute lymphoblastic leukemia maintenance therapy practice at
 patient and cohort level.

Package: r-cran-allofus
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1576
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-tidyr, r-cran-magrittr, r-cran-dplyr, r-cran-glue, r-cran-bigrquery, r-cran-purrr, r-cran-dbplyr, r-cran-sessioninfo, r-cran-rlang, r-cran-stringr, r-cran-dbi, r-cran-lifecycle, r-cran-bit64
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra, r-cran-dt, r-cran-googlesheets4, r-cran-tibble, r-cran-forcats, r-cran-gh, r-cran-sqlrender
Filename: pool/dists/focal/main/r-cran-allofus_1.2.0-1.ca2004.1_all.deb
Size: 1003192
MD5sum: 672564fca5a59499f1580a020b18c80c
SHA1: 61191d48a993d0d4780664f9d5cb96e96a33264f
SHA256: a4173aeff213c583cc02e8521da2ca887c23fd63546dcad982c1768e4506d2e5
SHA512: 3cd7689124b8ee10d63f360809e5c5e0b971adb476e4a2018ba9ad869aff1d1f72b6f70a36bca851730ab69cdfcd6f24df6b5348ec1c878f9c447b7f59e267d4
Homepage: https://cran.r-project.org/package=allofus
Description: CRAN Package 'allofus' (Interface for 'All of Us' Researcher Workbench)
 Streamline use of the 'All of Us' Researcher Workbench
 (<https://www.researchallofus.org/data-tools/workbench/>)with tools to
 extract and manipulate data from the 'All of Us' database. Increase
 interoperability with the Observational Health Data Science and Informatics
 ('OHDSI') tool stack by decreasing reliance of 'All of Us' tools and
 allowing for cohort creation via 'Atlas'. Improve reproducible and
 transparent research using 'All of Us'.

Package: r-cran-allometric
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-units, r-cran-refmanager, r-cran-magrittr, r-cran-purrr, r-cran-isocodes, r-cran-tidyr, r-cran-progress, r-cran-vctrs, r-cran-openssl, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-allometric_2.3.0-1.ca2004.1_all.deb
Size: 495456
MD5sum: 12d4e0a01578630162129b9a53fb8b07
SHA1: 314a92dd6027d9d3c32ccf8eab76b88e06fe39f8
SHA256: 34fba6ef5d0d5101915b47cf9de114b4cf8ce53950bc0226cda11c1467195c4d
SHA512: 93a05b4ec56384d9622e00ca2fb9a8b8b12b66aa728273975fd1938430c24cc00e7f70b8487fc323a107c48f2db602c44ad999f778411c21c6e06a6320820de8
Homepage: https://cran.r-project.org/package=allometric
Description: CRAN Package 'allometric' (Structured Allometric Models for Trees)
 Access allometric models used in forest resource analysis, such as volume
 equations, taper equations, biomass models, among many others. Users are
 able to efficiently find and select allometric models suitable for their
 project area and use them in analysis. Additionally, 'allometric' provides a
 structured framework for adding new models to an open-source models
 repository.

Package: r-cran-allomr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-allomr_0.3.0-1.ca2004.1_all.deb
Size: 15084
MD5sum: 78c97e86d7dfa6abfd29a08f65c9888f
SHA1: bd6d1219be31d7473e0c7340fb9d47c477e331ec
SHA256: e3e778778da1f461d27d272a006db8afeb860ebd67ba1cc55af68a3e29406f12
SHA512: 20be954b0717b784329d43297ac6befa4413446893fe8047d35b6ed561dfdbdec14e6f2e030166987cdc3c4c0fefa2b95a10b9793d1bdb279232a42fcb1820d8
Homepage: https://cran.r-project.org/package=allomr
Description: CRAN Package 'allomr' (Removing Allometric Effects of Body Size in MorphologicalAnalysis)
 Implementation of the technique of Lleonart et al.  (2000)
 <doi:10.1006/jtbi.2000.2043> to scale body measurements that exhibit an
 allometric growth. This procedure is a theoretical generalization of the
 technique used by Thorpe (1975) <doi:10.1111/j.1095-8312.1975.tb00732.x> and
 Thorpe (1976) <doi:10.1111/j.1469-185X.1976.tb01063.x>.

Package: r-cran-allpossiblespellings
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-allpossiblespellings_1.1-1.ca2004.1_all.deb
Size: 24008
MD5sum: 1b8cd88b89cd450a40aa650af0871349
SHA1: 0963d7d8f17446b3628cd2a1225342d1b3c76227
SHA256: 7999beb5dc3ae6a5f5a7a56189915d548d89eb4f934fb23bf61f0299208c4a6f
SHA512: 64eac762c879865b3ccc38ef2e1e18af3578bdf02ba0cce183000fc1990689b931d072da57d9aa1045bd9b87607abc35eeaf7eef3960e3a2ff3fd5d1f34a63ea
Homepage: https://cran.r-project.org/package=AllPossibleSpellings
Description: CRAN Package 'AllPossibleSpellings' (Computes all of a word's possible spellings)
 Contains functions possSpells.fnc and batch.possSpells.fnc.

Package: r-cran-allspice
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4372
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-allspice_1.0.7-1.ca2004.1_all.deb
Size: 1491460
MD5sum: 6cc7e3a97c1d4cc5e14ea5f5dd8268c4
SHA1: b783b2eed70c1053fe6d7720a98204821ac0cb23
SHA256: e5054d4d0c377e1a292135afc6a50848f91035e9d33646f258d5cb1349f40c04
SHA512: 1c7c4de3d50335171d7b6aaeaa72eaaa29ff4c7a8370b1af4f691b56a385312da987f3e7cb1e200fe1a45e3fb7bc37869c5990bd3ff0de54d1f7bcb5342dbc4a
Homepage: https://cran.r-project.org/package=Allspice
Description: CRAN Package 'Allspice' (RNA-Seq Profile Classifier)
 We developed a lightweight machine learning tool for RNA profiling of acute
 lymphoblastic leukemia (ALL), however, it can be used for any problem where
 multiple classes need to be identified from multi-dimensional data. The
 methodology is described in Makinen V-P, Rehn J, Breen J, Yeung D, White DL
 (2022) Multi-cohort transcriptomic subtyping of B-cell acute lymphoblastic
 leukemia, International Journal of Molecular Sciences 23:4574,
 <doi:10.3390/ijms23094574>. The classifier contains optimized mean profiles
 of the classes (centroids) as observed in the training data, and new samples
 are matched to these centroids using the shortest Euclidean distance.
 Centroids derived from a dataset of 1,598 ALL patients are included, but
 users can train the models with their own data as well. The output includes
 both numerical and visual presentations of the classification results.
 Samples with mixed features from multiple classes or atypical values are
 also identified.

Package: r-cran-allspicer
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-readr, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-allspicer_0.1.9-1.ca2004.1_all.deb
Size: 43480
MD5sum: bcde9bb7435bdad8804c21a7c2de0ba9
SHA1: 8aee16678e5930410bfea6c8db68e4c4cf20ea38
SHA256: 88bf0e1c2eaad9bf24089ebc68f36dc0820a90fc255a9f42ee2fbaf9b289fab3
SHA512: cb19fd9c3754e336e06c7a660bce0487d7701eda7269f35591061de1171f3f70a0b3c00eeb0ba652895bccf07662eda0a9874a140d0e31ed0eb1502ca0c48487
Homepage: https://cran.r-project.org/package=ALLSPICER
Description: CRAN Package 'ALLSPICER' (ALLelic Spectrum of Pleiotropy Informed Correlated Effects)
 Provides statistical tools to analyze heterogeneous effects of rare variants
 within genes that are associated with multiple traits. The package
 implements methods for assessing pleiotropic effects and identifying allelic
 heterogeneity, which can be useful in large-scale genetic studies. Methods
 include likelihood-based statistical tests to assess these effects. For more
 details, see Lu et al. (2024) <doi:10.1101/2024.10.01.614806>.

Package: r-cran-alluvial
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-testthat, r-cran-reshape2, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-alluvial_0.1-2-1.ca2004.1_all.deb
Size: 536080
MD5sum: 87be47c507e91d6c400e9d26a6bb5e2d
SHA1: d9a4335f552c488c4a6c3e6019d02d324cfc347e
SHA256: 8af90a4ad6c5dc8ed837ccb8832660ad4bedb62d676cb410184d144e05a0b837
SHA512: e202ed16ca7e815d67c13505e4d99ac2946f59d40909a2ee2608a09f5fe47c3f5516bc362496cfa45efb1f4f62074a04bc8520c583b999536b3617ac83785aab
Homepage: https://cran.r-project.org/package=alluvial
Description: CRAN Package 'alluvial' (Alluvial Diagrams)
 Creating alluvial diagrams (also known as parallel sets plots) for
 multivariate and time series-like data.

Package: r-cran-alone
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-alone_0.6-1.ca2004.1_all.deb
Size: 53052
MD5sum: 36fc6573275e2f1767c43742fcba33a8
SHA1: 2fc3d586acd12b172a0195e81e48c51e8aaf633a
SHA256: fe3ccd68289a2df0ff32d503186da68864bb9d3d880deb9f6d58d7bc1306a0cb
SHA512: 65fae25728c19431da6090529cf57e16987be081037301aeab97cbc519dc995f26336a1a82f021e85fa1b287ecf8cc77997880cd462bf350aafe80f8df5a88ab
Homepage: https://cran.r-project.org/package=alone
Description: CRAN Package 'alone' (Datasets from the Survival TV Series Alone)
 A collection of datasets on the Alone survival TV series in tidy format.
 Included in the package are 4 datasets detailing the survivors, their
 loadouts, episode details and season information.

Package: r-cran-alookr
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-randomforest, r-cran-catools, r-cran-cli, r-cran-dlookr, r-cran-dplyr, r-cran-future, r-cran-ggmosaic, r-cran-mass, r-cran-mlmetrics, r-cran-parallelly, r-cran-party, r-cran-purrr, r-cran-rocr, r-cran-ranger, r-cran-rlang, r-cran-rpart, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-xgboost, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-islr, r-cran-mice, r-cran-mlbench, r-cran-rmarkdown, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-alookr_0.3.9-1.ca2004.1_all.deb
Size: 151264
MD5sum: ac9e4b9d5dc6aa8bf73ea6834b231ebe
SHA1: def6693f344b7f7003ba5abe70e053dfbf1a5ee3
SHA256: 4ec4d24afccbbbdcc3fb30cac3ebf130fc3f044b7f8f7e7fce63802175dcc9e3
SHA512: d266d93e38c6b278d3a95b1d4108abb6a2b6f4c33bb622739be7049f85aee837428751a1a1d65d360672658564c93f6cd61e0ca40b8e06c62cbf5e9ac6599816
Homepage: https://cran.r-project.org/package=alookr
Description: CRAN Package 'alookr' (Model Classifier for Binary Classification)
 A collection of tools that support data splitting, predictive modeling, and
 model evaluation.  A typical function is to split a dataset into a training
 dataset and a test dataset.  Then compare the data distribution of the two
 datasets.  Another feature is to support the development of predictive
 models and to compare the performance of several predictive models, helping
 to select the best model.

Package: r-cran-aloom
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-randomforest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aloom_0.1.1-1.ca2004.1_all.deb
Size: 16624
MD5sum: 914717d8d91c121e125a1072991f785b
SHA1: 30b205bfde7ff432537188b294a970a2921d2a26
SHA256: cc67afb011db8f8c2eacf365512f7a0c5b4f3cbddf8e092bc8896cde00d78dcf
SHA512: fb37dc839466d315632de0b44152a990871ea08ae6edcb5b98c4aaa176646c57e5e6d38625858e90ddba4d478cb2c5eb7c89e24d05d1e98f6138169385af9f4e
Homepage: https://cran.r-project.org/package=aloom
Description: CRAN Package 'aloom' (All Leave-One-Out Models)
 Creates all leave-one-out models and produces predictions for test samples.

Package: r-cran-alpha.correction.bh
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-alpha.correction.bh_0.0.2-1.ca2004.1_all.deb
Size: 17968
MD5sum: 08b5e0ccdb9bd47a0de8d4cfba8f7b23
SHA1: 2d59e10fe496dfd85956bf0aeff3dff24a44edcd
SHA256: 4f7a3ec236bb7ad6e8e6f78fde9091fea7ad7ced38fc24879cfc94e45fc16be4
SHA512: 587d6d61d78f81b24a022787b2a3f2a990ea5279c68a67b0a26b9f102d6ab777d0815d15af96cbc6dff5c3286b5c0b6e298d9edd5547f24eebb10868ded8a621
Homepage: https://cran.r-project.org/package=alpha.correction.bh
Description: CRAN Package 'alpha.correction.bh' (Benjamini-Hochberg Alpha Correction)
 Provides the alpha-adjustment correction from "Benjamini, Y., & Hochberg, Y.
 (1995) <doi:10.1111/j.2517-6161.1995.tb02031.x> Controlling the false
 discovery rate: a practical and powerful approach to multiple testing.
 Journal of the Royal statistical society: series B (Methodological), 57(1),
 289-300". For researchers interested in using the exact mathematical
 formulas and procedures as used in the original paper.

Package: r-cran-alphaci
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-future.apply, r-cran-matrixcalc
Suggests: r-cran-covr, r-cran-extradistr, r-cran-knitr, r-cran-lavaan, r-cran-psychtools, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-alphaci_1.0.1-1.ca2004.1_all.deb
Size: 148372
MD5sum: 8dfce5b51dbb2b89534266844ec8d6de
SHA1: 39ff983af8cb21a7525d69b559ebddb89cdf507b
SHA256: 54cdbd637d915824ab8ccbb26e224086acfb13f5133b49c6683fa7747653acbe
SHA512: 3b82a51a9c14b7b121591b65b0a42a4f1224b9da6490e37f8fc0d40f437c4df879939bcf6e4c5c8d57592ea310cccb7dde20486064217702edf082339ec48caf
Homepage: https://cran.r-project.org/package=alphaci
Description: CRAN Package 'alphaci' (Confidence Intervals for Coefficient Alpha and StandardizedAlpha)
 Calculate confidence intervals for alpha and standardized alpha using
 asymptotic theory or the studentized bootstrap, with or without
 transformations. Supports the asymptotic distribution-free method of
 Maydeu-Olivares, et al. (2007) <doi:10.1037/1082-989X.12.2.157>, the
 pseudo-elliptical method of Yuan & Bentler (2002) <doi:10.1007/BF02294845>,
 and the normal method of van Zyl et al. (1999) <doi:10.1007/BF02296146>, for
 both coefficient alpha and standardized alpha.

Package: r-cran-alphahull
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-interp, r-cran-r.utils, r-cran-sgeostat, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-alphahull_2.5-1.ca2004.1_all.deb
Size: 603144
MD5sum: 3e48071dae9a2de2bc8e50587da8ec93
SHA1: 339b38645c3ec4e6c3f760ceb7955aa100996a2b
SHA256: f95457e8f0dccab4a08fd8a0697bb7b782aa1aa70d50cb4ac814d41892e14cf5
SHA512: ba452c464d0d32ee58dbdc0eccd62232dc49387bca82148640a5020653bd717d4086e7f79af3c9df00bcc9b74e1617ce7761acb04bbc2854d0a5cb91c3af7d39
Homepage: https://cran.r-project.org/package=alphahull
Description: CRAN Package 'alphahull' (Generalization of the Convex Hull of a Sample of Points in thePlane)
 Computation of the alpha-shape and alpha-convex hull of a given sample of
 points in the plane. The concepts of alpha-shape and alpha-convex hull
 generalize the definition of the convex hull of a finite set of points. The
 programming is based on the duality between the Voronoi diagram and Delaunay
 triangulation. The package also includes a function that returns the
 Delaunay mesh of a given sample of points and its dual Voronoi diagram in
 one single object.

Package: r-cran-alphan
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-alphan_0.1.0-1.ca2004.1_all.deb
Size: 45236
MD5sum: 0b024d56d09f49de6604f42043bade6d
SHA1: 465689df64a238e2ca8caf1fa6dab522b3513339
SHA256: 3865c7cd39766eb7d1551a396cfff3f004a1afcc349d8b3ad39c8822f3554a31
SHA512: bb0e5e8c1760f83b7c0617f5fa660687e9d14874c8c235f7ecbbe2479d1c109ec261b9f1471f25d865419e63ff5b885b1264af8a78f93c6d56fe9818f4df5f05
Homepage: https://cran.r-project.org/package=alphaN
Description: CRAN Package 'alphaN' (Set Alpha Based on Sample Size Using Bayes Factors)
 Sets the alpha level for coefficients in a regression model as a decreasing
 function of the sample size through the use of Jeffreys' Approximate Bayes
 factor. You tell alphaN() your sample size, and it tells you to which value
 you must lower alpha to avoid Lindley's Paradox. For details, see Wulff and
 Taylor (2023) <doi:10.31234/osf.io/3cbh7>.

Package: r-cran-alphaoutlier
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp, r-cran-nleqslv, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-alphaoutlier_1.2.0-1.ca2004.1_all.deb
Size: 110908
MD5sum: 464f7de820d879588a5084e3863894e0
SHA1: 7426b9335b67c4d9b303d7dd47ea872133e7a46b
SHA256: 54e7e78bcbc55b98c486f4a9ea8d54f27dc5f14e0c34cba7efab73a7f22dc038
SHA512: 56e6a8857585d3c0d968207f6de1feeb1d0792b09def1de657d7a30f90a94748f29f09701eb32647639e8f773b8388b6b00967eb97bf7d644f4c729c47f6a9c1
Homepage: https://cran.r-project.org/package=alphaOutlier
Description: CRAN Package 'alphaOutlier' (Obtain Alpha-Outlier Regions for Well-Known ProbabilityDistributions)
 Given the parameters of a distribution, the package uses the concept of
 alpha-outliers by Davies and Gather (1993) to flag outliers in a data set.
 See Davies, L.; Gather, U. (1993): The identification of multiple outliers,
 JASA, 88 423, 782-792, <doi:10.1080/01621459.1993.10476339> for details.

Package: r-cran-alphastable
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-nnls, r-cran-stabledist, r-cran-nlme
Suggests: r-cran-matrix, r-cran-fbasics, r-cran-fmstable, r-cran-runit, r-cran-rmpfr, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-alphastable_0.2.1-1.ca2004.1_all.deb
Size: 125740
MD5sum: 651fea087e7143af17c1010837cd988f
SHA1: 9057470b5a4a24c991456b1c72e1a2e8e72bb0da
SHA256: 8cc833dcd40e5f07930f6b427032b6b2aee21e97f20f62cc23766cd767b198ad
SHA512: 762d6149e3d7dcc844a5caaa88fa4b8d629253397fe99a2ab8f30ecb25a7acda55fcbd1ff22419158d263ba7814c44b4ec212fb879dfef98de97e277f9f42626
Homepage: https://cran.r-project.org/package=alphastable
Description: CRAN Package 'alphastable' (Inference for Stable Distribution)
 Developed to perform the tasks given by the following. 1-computing the
 probability density function and distribution function of a univariate
 stable distribution; 2- generating from univariate stable, truncated stable,
 multivariate elliptically contoured stable, and bivariate strictly stable
 distributions; 3- estimating the parameters of univariate symmetric stable,
 skew stable, Cauchy, multivariate elliptically contoured stable, and
 multivariate strictly stable distributions; 4- estimating the parameters of
 the mixture of symmetric stable and mixture of Cauchy distributions.

Package: r-cran-alphavantager
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-timetk
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-alphavantager_0.1.3-1.ca2004.1_all.deb
Size: 21952
MD5sum: d9e029496b60a5fc8900b1dc1137dae3
SHA1: 4c19457c6bd3b6cc8a6660def2d2d231dbf29420
SHA256: b2231349cc995bca704a0212210af423a37f2c36c835b4eca7fefc0daee4354e
SHA512: cf45e1567ea8138d8f8929cfb1fbbe4d16648e9e50e30233deeebbb8cbc3062279d3a3319f2f3cac4fbeb25c4532b1044327637f6c21c011cec774aa5eb6c064
Homepage: https://cran.r-project.org/package=alphavantager
Description: CRAN Package 'alphavantager' (Lightweight Interface to the Alpha Vantage API)
 Alpha Vantage has free historical financial information.  All you need to do
 is get a free API key at <https://www.alphavantage.co>.  Then you can use
 the R interface to retrieve free equity information.  Refer to the Alpha
 Vantage website for more information.

Package: r-cran-alr4
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-effects
Filename: pool/dists/focal/main/r-cran-alr4_1.0.6-1.ca2004.1_all.deb
Size: 627428
MD5sum: 06c18d53788819823ff019f50275b8f1
SHA1: bb5c0611e641d11b795da06ef59e2373f46a77fb
SHA256: 88fe9e5eeaa705038e09f9226c71af8408c9f3dbc182a6c07565b574033ed4fc
SHA512: 56d193c47e6db8d9415ffc0bcd4519443e7bc0e39d5a80cd3aca1227ff3e38417da12e7109780ddecf0eada9645abfe370fd0a298f4cb8a99bb08fa31243ec62
Homepage: https://cran.r-project.org/package=alr4
Description: CRAN Package 'alr4' (Data to Accompany Applied Linear Regression 4th Edition)
 Datasets to Accompany S. Weisberg (2014, ISBN: 978-1-118-38608-8), "Applied
 Linear Regression," 4th edition.  Many data files in this package are
 included in the `alr3` package as well, so only one of them should be used.

Package: r-cran-als
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nnls, r-cran-iso
Filename: pool/dists/focal/main/r-cran-als_0.0.7-1.ca2004.1_all.deb
Size: 501388
MD5sum: c8fbb033bc3bc640e9429cf06e4526bc
SHA1: e3b2f742761057adc01f99e7c6141fe951766b43
SHA256: 215b51ea7dd521f50fac51acc6ed218d7db22ff8d48f90f71ad11b525ca0625b
SHA512: 1b3217218d3e0f0e051100316b5b095dc30d371627c9901774d7caa3913b7fd4ede071d048a4e4e2c1fbf2217df74187436b034e5752357923e89374d1c9c669
Homepage: https://cran.r-project.org/package=ALS
Description: CRAN Package 'ALS' (Multivariate Curve Resolution Alternating Least Squares(MCR-ALS))
 Alternating least squares is often used to resolve components contributing
 to data with a bilinear structure; the basic technique may be extended to
 alternating constrained least squares.  Commonly applied constraints include
 unimodality, non-negativity, and normalization of components.  Several data
 matrices may be decomposed simultaneously by assuming that one of the two
 matrices in the bilinear decomposition is shared between datasets.

Package: r-cran-alscpc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-alscpc_1.0-1.ca2004.1_all.deb
Size: 23608
MD5sum: d99689a399cc7c0c26c95bbd21dd77e6
SHA1: 5126f13540aaee1cca70814e36403e4eea47e2fe
SHA256: aa9c48d314541af3eabb1fe50aaf17accef71436330d0621a18879fcc1c7ceeb
SHA512: 9c69b436a904d19c9b114c56ebae71a399a3bdfb45c5225c33c294b6145f7cd18ea82f0080e328f3d7d7bacd79c3d5410886c37085bd7fcebbfcca1b7bf124bc
Homepage: https://cran.r-project.org/package=ALSCPC
Description: CRAN Package 'ALSCPC' (Accelerated line search algorithm for simultaneous orthogonaltransformation of several positive definite symmetric matricesto nearly diagonal form)
 Using of the accelerated line search algorithm for simultaneously
 diagonalize a set of symmetric positive definite matrices.

Package: r-cran-alsm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps, r-cran-suppdists, r-cran-car
Filename: pool/dists/focal/main/r-cran-alsm_0.2.0-1.ca2004.1_all.deb
Size: 183316
MD5sum: 77e7b72feac1df46956143e223f15ad7
SHA1: 716dcabe0695d6b77d299d304f87ae2607840489
SHA256: 6f85cfa2e8fb289ff325a818e101de3f9b58b85e40ae9d88da1cf2a7bfb8c431
SHA512: 30523acf278a18975a2aa712a235aa67eff7a54470215920ecd118f9f4b4fc2a4024ee364a6fc5055995bc0d2555ef3094368c7fea4283a7b07472943aff5ae8
Homepage: https://cran.r-project.org/package=ALSM
Description: CRAN Package 'ALSM' (Companion to Applied Linear Statistical Models)
 Functions and Data set presented in Applied Linear Statistical Models Fifth
 Edition (Chapters 1-9 and 16-25), Michael H. Kutner; Christopher J.
 Nachtsheim; John Neter; William Li, 2005. (ISBN-10: 0071122214, ISBN-13:
 978-0071122214) that do not exist in R, are gathered in this package. The
 whole book will be covered in the next versions.

Package: r-cran-altadata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-altadata_0.1.1-1.ca2004.1_all.deb
Size: 38444
MD5sum: 71948248fca9d6667c3024f114288dfc
SHA1: 5e4c4e6258047c08c9c3025acc894e086d7b4a06
SHA256: a7c8391df5df089b84fb5a839c03f79739eee40c06e4af8ce723fff595f666ad
SHA512: 0b631ec233ecaa3459944524c1f153b59240f0c548fd4b7096c6ed4a720fa5a9a3546d57c362964ca55946fd9ecc1ececb1ce2a18a43fc3251e934ce69113881
Homepage: https://cran.r-project.org/package=altadata
Description: CRAN Package 'altadata' (API Wrapper for Altadata.io)
 Functions for interacting directly with the 'ALTADATA' API. With this R
 package, developers can build applications around the 'ALTADATA' API without
 having to deal with accessing and managing requests and responses.
 'ALTADATA' is a curated data marketplace for more information go to
 <https://www.altadata.io>.

Package: r-cran-altair
Architecture: all
Version: 4.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-htmlwidgets, r-cran-assertthat, r-cran-magrittr, r-cran-vegawidget, r-cran-repr
Suggests: r-cran-httr, r-cran-rprojroot, r-cran-purrr, r-cran-readr, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-listviewer, r-cran-testthat, r-cran-pryr, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-pkgdown, r-cran-v8, r-cran-rsvg, r-cran-png, r-cran-fs
Filename: pool/dists/focal/main/r-cran-altair_4.2.3-1.ca2004.1_all.deb
Size: 112992
MD5sum: 45ba7eee85f84abfdb49e4bd8ce6a259
SHA1: e072cf436f38c6b8c0fa6a5978b77dbe7da5592b
SHA256: 663e87688134516cc360ff41521273b0c8ac1208ffa8e0959c9b541967354f4d
SHA512: 1155d37ad950f90024b7f4b92dcb254e4eee75c236e0e42b9c004d980d00f32e9e9f02dd27525f4431e316bcd6f6bccf0fe1af887b3191e6f2697fbfb91f04f6
Homepage: https://cran.r-project.org/package=altair
Description: CRAN Package 'altair' (Interface to 'Altair')
 Interface to 'Altair' <https://altair-viz.github.io>, which itself is a
 'Python' interface to 'Vega-Lite' <https://vega.github.io/vega-lite/>.  This
 package uses the 'Reticulate' framework
 <https://rstudio.github.io/reticulate/> to manage the interface between R
 and 'Python'.

Package: r-cran-altdoc
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-evaluate, r-cran-fs, r-cran-quarto
Suggests: r-cran-covr, r-cran-digest, r-cran-downlit, r-cran-future, r-cran-future.apply, r-cran-knitr, r-cran-servr, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-withr, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-altdoc_0.5.0-1.ca2004.1_all.deb
Size: 437708
MD5sum: 33489458ccc5aa288bb77252178476f7
SHA1: d0611614fc49982eca31e5655125d362ae10983d
SHA256: 718c43faa992bb1bfb840b1c73b43f39716532b855a343b7e7896c0bfd258de4
SHA512: 40179d3ecd34570167db97e9ccac7aaa74b853bc32713ec6ec97a52f8bb9b59e3f8a64b4a2981cde79b4305d0baffe88dd8012fc79a53e3c84fb28d09d740075
Homepage: https://cran.r-project.org/package=altdoc
Description: CRAN Package 'altdoc' (Package Documentation Websites with 'Quarto', 'Docsify','Docute', or 'MkDocs')
 This is a simple and powerful package to create, render, preview, and deploy
 documentation websites for 'R' packages. It is a lightweight and flexible
 alternative to 'pkgdown', with support for many documentation generators,
 including 'Quarto', 'Docute', 'Docsify', and 'MkDocs'.

Package: r-cran-alteredpqr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-alteredpqr_0.1.0-1.ca2004.1_all.deb
Size: 450296
MD5sum: 9a746109c7e137a6b5153d37607a0415
SHA1: 8ff6178facb2baa5df2f1405205562b867a706d0
SHA256: db95f206c9deabefcf2ee934c774fb878b13967f0a09bc7eb73043802810114e
SHA512: cf923fff5f4dd5fcfa47fd3bb2ea70a607420db7ba4d09149cc47b5e65422aaf35b5e5a0416f12e8bc8be76c363eeeb5f0b2fb893d2606de2a6fc931d9b83e3a
Homepage: https://cran.r-project.org/package=AlteredPQR
Description: CRAN Package 'AlteredPQR' (Detection of Altered Protein Quantitative Relationships)
 Inference of protein complex states from quantitative proteomics data. The
 package takes information on known stable protein interactions (i.e. protein
 components of the same complex) and assesses how protein quantitative ratios
 change between different conditions. It reports protein pairs for which
 relative protein quantities to each other have been significantly altered in
 the tested condition.

Package: r-cran-altfuelr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2485
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-lubridate, r-cran-dplyr, r-cran-magrittr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-altfuelr_0.1.0-1.ca2004.1_all.deb
Size: 2462912
MD5sum: 36c531a18fa89f418a348aa6535f7aa0
SHA1: 524696d1faafa570c13c5e4136193b0a9d49fb7b
SHA256: 5d872f2e9f9afb410b0d38227d5645f32d127e695dde3bd8e6e40ff22c934ff8
SHA512: 3c01e4cd32f0ebe312a4c5f33bc37be8e1d0aca7e0169c2fff15bd526bf004b3a28c93ffff08ab737fdc64cacbcbdba311c056e62509e23387a0538bc2dc5cbb
Homepage: https://cran.r-project.org/package=altfuelr
Description: CRAN Package 'altfuelr' (Provides an Interface to the NREL Alternate Fuels Locator)
 Provides a number of functions to access the National Energy Research
 Laboratory Alternate Fuel Locator API
 <https://developer.nrel.gov/docs/transportation/alt-fuel-stations-v1/>.  The
 Alternate Fuel Locator shows the location of alternate fuel stations in the
 United States and Canada. This package also includes the data from the US
 Department of Energy Alternate Fuel database as a data set.

Package: r-cran-altmeta
Architecture: all
Version: 4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-lme4, r-cran-matrix, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-altmeta_4.2-1.ca2004.1_all.deb
Size: 542932
MD5sum: d310d8268be840a728da435cb25f891f
SHA1: fa6a04928b734dbf08b8207c513738954de9fa69
SHA256: c0f771123781abe9a049fff438aa482cd11de8eb4168410ac82197a758e051a3
SHA512: 5f006723253546cb8917d96fb71310f8593413a6515d5a4d67f3dae5a9fa284ee4247671fd5e356c59ebf9fffd9bb35450d845c7a155e38152891075db9c4683
Homepage: https://cran.r-project.org/package=altmeta
Description: CRAN Package 'altmeta' (Alternative Meta-Analysis Methods)
 Provides alternative statistical methods for meta-analysis, including: -
 bivariate generalized linear mixed models for synthesizing odds ratios,
 relative risks, and risk differences (Chu et al., 2012
 <doi:10.1177/0962280210393712>) - heterogeneity tests and measures and
 penalization methods that are robust to outliers (Lin et al., 2017
 <doi:10.1111/biom.12543>; Wang et al., 2022 <doi:10.1002/sim.9261>); -
 measures, tests, and visualization tools for publication bias or small-study
 effects (Lin and Chu, 2018 <doi:10.1111/biom.12817>; Lin, 2019
 <doi:10.1002/jrsm.1340>; Lin, 2020 <doi:10.1177/0962280220910172>; Shi et
 al., 2020 <doi:10.1002/jrsm.1415>); - meta-analysis of combining
 standardized mean differences and odds ratios (Jing et al., 2023
 <doi:10.1080/10543406.2022.2105345>); - meta-analysis of diagnostic tests
 for synthesizing sensitivities, specificities, etc.  (Reitsma et al., 2005
 <doi:10.1016/j.jclinepi.2005.02.022>; Chu and Cole, 2006
 <doi:10.1016/j.jclinepi.2006.06.011>); - meta-analysis methods for
 synthesizing proportions (Lin and Chu, 2020
 <doi:10.1097/ede.0000000000001232>); - models for multivariate
 meta-analysis, measures of inconsistency degrees of freedom in Bayesian
 network meta-analysis, and predictive P-score (Lin and Chu, 2018
 <doi:10.1002/jrsm.1293>; Lin, 2020 <doi:10.1080/10543406.2020.1852247>;
 Rosenberger et al., 2021 <doi:10.1186/s12874-021-01397-5>).

Package: r-cran-altopt
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-altopt_0.1.2-1.ca2004.1_all.deb
Size: 110004
MD5sum: f851f513cebf53e2f28dbf5fafad2a4f
SHA1: 99014cc8be352b7a8e27302a525d9420a152e712
SHA256: 3be8c636964a1c5796462d8863b4a9cde7959e884855fef61e143525889fdbeb
SHA512: d1d54459fefaa0ab27ac527b0cfd0f986d15c86518df527e8734c9f8d1c343a2970a301d869813a3150d822f1452810f5882c970b4a4c69552a2bf227f1cf1e6
Homepage: https://cran.r-project.org/package=ALTopt
Description: CRAN Package 'ALTopt' (Optimal Experimental Designs for Accelerated Life Testing)
 Creates the optimal (D, U and I) designs for the accelerated life testing
 with right censoring or interval censoring. It uses generalized linear model
 (GLM) approach to derive the asymptotic variance-covariance matrix of
 regression coefficients. The failure time distribution is assumed to follow
 Weibull distribution with a known shape parameter and log-linear link
 functions are used to model the relationship between failure time parameters
 and stress variables. The acceleration model may have multiple stress
 factors, although most ALTs involve only two or less stress factors.  ALTopt
 package also provides several plotting functions including contour plot,
 Fraction of Use Space (FUS) plot and Variance Dispersion graphs of Use Space
 (VDUS) plot. For more details, see Seo and Pan (2015)
 <doi:10.32614/RJ-2015-029>.

Package: r-cran-altr2
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gsl, r-cran-purrr
Suggests: r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-altr2_1.1.0-1.ca2004.1_all.deb
Size: 22840
MD5sum: d5b575252c9282aceea41e0144919f96
SHA1: 5f201f0f2b81bf526050ea67613b79c7ae8e2da9
SHA256: 5c0a2f5957cecf3fe1861c869051342086f52d0cac4149564e1ce8db6aec583e
SHA512: ccc1439737e3cd24f2dae6ce1214b7bf1244318aeb92840bb49e73658bee8472b80e723f6108548e3ee77b3bb07e1fc29b3573e167404f5125109d166b2800c0
Homepage: https://cran.r-project.org/package=altR2
Description: CRAN Package 'altR2' (Alternative Estimators to Adjusted R-Squared)
 Provides alternatives to the normal adjusted R-squared estimator for the
 estimation of the multiple squared correlation in regression models, as
 fitted by the lm() function. The alternative estimators are described in
 Karch (2020) <DOI:10.1525/collabra.343>.

Package: r-cran-amadeus
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1620
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-sftime, r-cran-terra, r-cran-data.table, r-cran-httr, r-cran-rvest, r-cran-exactextractr, r-cran-stringi, r-cran-testthat, r-cran-stars, r-cran-tidyr, r-cran-rlang, r-cran-nhdplustools, r-cran-archive, r-cran-collapse, r-cran-rdpack
Suggests: r-cran-covr, r-cran-withr, r-cran-knitr, r-cran-rmarkdown, r-cran-lwgeom, r-cran-fnn, r-cran-dorng, r-cran-devtools, r-cran-stringr, r-cran-tigris, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-amadeus_1.2.3-1.ca2004.1_all.deb
Size: 1254604
MD5sum: d70274bfc427b266b8ac4b7423e74b67
SHA1: 9745788bbef2c0cd9673245b9d3b8eabae83c4b7
SHA256: 8682828d34e6aa089c52488fce0d27bce3c9d8ef09230e7abaa608b8dec85396
SHA512: 0a9fac7a661800ba0d2f0fcab1b4979172ee6f273621691c8375a2af3737ca8d68fe925b20d3c05eea1c14732e382bfc0f6575e63a28b39d3f4b1aff86801e75
Homepage: https://cran.r-project.org/package=amadeus
Description: CRAN Package 'amadeus' (Accessing and Analyzing Large-Scale Environmental Data)
 Functions are designed to facilitate access to and utility with large scale,
 publicly available environmental data in R. The package contains functions
 for downloading raw data files from web URLs (download_data()), processing
 the raw data files into clean spatial objects (process_covariates()), and
 extracting values from the spatial data objects at point and polygon
 locations (calculate_covariates()). These functions call a series of
 source-specific functions which are tailored to each data sources/datasets
 particular URL structure, data format, and spatial/temporal resolution. The
 functions are tested, versioned, and open source and open access. For
 sum_edc() method details, see Messier, Akita, and Serre (2012)
 <doi:10.1021/es203152a>.

Package: r-cran-amanida
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-tibble, r-cran-tidyr, r-cran-tidyverse, r-cran-webchem
Suggests: r-cran-markdown, r-bioc-metaboliteidmapping, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-amanida_0.3.0-1.ca2004.1_all.deb
Size: 374936
MD5sum: acb3906455a5d55a004502425a4dc59c
SHA1: 17ed3416dbdae1873f9feb74c54c2dcc3787a7ef
SHA256: 2db2fd1827f0de6c4632c666f9f642a6635c0ba24bc60fe3a128390414e8ec28
SHA512: 440b3b87e20a23b8031b6c270d6cd50eee5b892ec1860e68c446a2210b1051e4ee788df3d100642094a1e3de32d9142a698d28f7589d5b8c4062966b997dac96
Homepage: https://cran.r-project.org/package=amanida
Description: CRAN Package 'amanida' (Meta-Analysis for Non-Integral Data)
 Combination of results for meta-analysis using significance and effect size
 only. P-values and fold-change are combined to obtain a global significance
 on each metabolite. Produces a volcano plot summarising the relevant results
 from meta-analysis. Vote-counting reports for metabolites. And explore plot
 to detect discrepancies between studies at a first glance. Methodology is
 described in the Llambrich et al. (2021)
 <doi:10.1093/bioinformatics/btab591>.

Package: r-cran-amanpg
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4163
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-amanpg_0.3.4-1.ca2004.1_all.deb
Size: 4194836
MD5sum: 1469a48bb481ed9c3581e3e6848ca855
SHA1: fdda8b77ca4a45a3bc63eaf5ef1bcd55f75a6646
SHA256: fa2d8539940f0d7e53cb605566f8d42ca3ffa1ef222e28f404b196c094563bd8
SHA512: 6c87deb8e1e70014bd347740b0b1d2119dd14a8cb642320793dac3941e2abdc293d149a795d8bd8d46156f1b4d50a4f9df8a4d1dc61a045adc684101f791624d
Homepage: https://cran.r-project.org/package=amanpg
Description: CRAN Package 'amanpg' (Alternating Manifold Proximal Gradient Method for Sparse PCA)
 Alternating Manifold Proximal Gradient Method for Sparse PCA uses the
 Alternating Manifold Proximal Gradient (AManPG) method to find sparse
 principal components from a data or covariance matrix. Provides a novel
 algorithm for solving the sparse principal component analysis problem which
 provides advantages over existing methods in terms of efficiency and
 convergence guarantees.  Chen, S., Ma, S., Xue, L., & Zou, H. (2020)
 <doi:10.1287/ijoo.2019.0032>.  Zou, H., Hastie, T., & Tibshirani, R. (2006)
 <doi:10.1198/106186006X113430>.  Zou, H., & Xue, L. (2018)
 <doi:10.1109/JPROC.2018.2846588>.

Package: r-cran-amap.seq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-amap.seq_1.0-1.ca2004.1_all.deb
Size: 314168
MD5sum: e6bece86c1229ac2eb3c6c8b4d5cded6
SHA1: e88fb0598405fd509c1f9d54294016ceab2578c3
SHA256: 004f3457906766883a2457aae0a42ecbd5e0bac3beba4a1a31d7b25486ce161f
SHA512: 6ab4e50590a3a0ed0ae992c9f36d6e8d89767d1db4693e04ec3f1de9f34efa5483fb2c1209945814441ef29e5389a7f149845668619ef3e35051ed1d7ab38183
Homepage: https://cran.r-project.org/package=AMAP.Seq
Description: CRAN Package 'AMAP.Seq' (Compare Gene Expressions from 2-Treatment RNA-Seq Experiments)
 An Approximated Most Average Powerful Test with Optimal FDR Control with
 Application to RNA-seq Data

Package: r-cran-amapgeocode
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-sjmisc, r-cran-xml2, r-cran-data.table, r-cran-furrr
Suggests: r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-amapgeocode_0.6.0-1.ca2004.1_all.deb
Size: 158456
MD5sum: 1475d5c95e38ea165217cb3cc9c7db1d
SHA1: 333b81565391af4beaff918e53869d59f41aa61d
SHA256: 79ff5f741d52e5605ba7ca9a5252d34fd787f576bfc044623a952a5a12440c36
SHA512: fc212aa6fc1e55b99af82da3af3cdafac064c9d25d118a18f1e573762f6bb79aea40da616bb9b803272cb67f261008b7304d182e281fffce72027b5b4d6c1316
Homepage: https://cran.r-project.org/package=amapGeocode
Description: CRAN Package 'amapGeocode' (An Interface to the 'AutoNavi Maps' API Geocoding Services)
 Getting and parsing data of location geocode/reverse-geocode and
 administrative regions from 'AutoNavi
 Maps'<https://lbs.amap.com/api/webservice/summary> API.

Package: r-cran-amapro
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3313
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-jsonlite, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-amapro_0.1.3-1.ca2004.1_all.deb
Size: 858260
MD5sum: 119d6716af5e48743bd7d23fff4b729c
SHA1: 8e715a317b1db861e8a713189d2614374c96cf02
SHA256: 12d84aa05e61d34e736cbbdc2bb5e266040737f729aa96f51d984c5a0a8d80ca
SHA512: 85f53ce765eb497ce967d4184c93c7ebebb5089dc27ca00ac572e72ceb83b223aa3bc3dafea123b0e35241988aae3582a6e6e5e272afa1d20a66b08881c0dc55
Homepage: https://cran.r-project.org/package=amapro
Description: CRAN Package 'amapro' (Thin Wrapper for Mapping Library 'AMap')
 Build and control interactive 2D and 3D maps with 'R/Shiny'.  Lean set of
 powerful commands wrapping native calls to 'AMap'
 <https://lbs.amap.com/api/jsapi-v2/summary/>.  Deliver rich mapping
 functionality with minimal overhead.

Package: r-cran-amapvox
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-jsonlite, r-cran-rappdirs, r-cran-stringr
Suggests: r-cran-fields, r-cran-ggplot2, r-cran-knitr, r-cran-rann, r-cran-rgl, r-cran-refmanager, r-cran-rmarkdown, r-cran-sf, r-cran-terra
Filename: pool/dists/focal/main/r-cran-amapvox_2.2.1-1.ca2004.1_all.deb
Size: 522436
MD5sum: b349f6d51be7c0d9a69bc8152cba4307
SHA1: 7bb3d104d5aa31d9463c16e6fd73c39ac58a64de
SHA256: 245b9aea9c6e4dca4a832f84043223dec7a317f1a299082716605fa6692c96c8
SHA512: bd020a73c8d228f40efa1183b1a7f2227ca78b1e48ddeb96e5043ffcb986b14b52ef7364f5cba71624c0e2650cef0ac8aa138dc743e2ac17c02feb0d979dcd6e
Homepage: https://cran.r-project.org/package=AMAPVox
Description: CRAN Package 'AMAPVox' (LiDAR Data Voxelisation)
 Read, manipulate and write voxel spaces. Voxel spaces are read from
 text-based output files of the 'AMAPVox' software. 'AMAPVox' is a LiDAR
 point cloud voxelisation software that aims at estimating leaf area through
 several theoretical/numerical approaches. See more in the article Vincent et
 al. (2017) <doi:10.23708/1AJNMP> and the technical note Vincent et al.
 (2021) <doi:10.23708/1AJNMP>.

Package: r-cran-amazonadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-amazonadsr_0.1.0-1.ca2004.1_all.deb
Size: 21964
MD5sum: 59f187e31a15225bbaeeddd5a0a471c4
SHA1: 39304ccdc19760e05b833b34043148c8d64fee71
SHA256: ae2b5d5ec756b19ec283b571fead42c3be0d90d39d7ad1536c75c245499cf314
SHA512: ef2c4142bb2daf17982f77fc1997bbff12b9abaf7c7eb2f0053c5d9abb47be2164de47067f310c58089ea76896ddaf151da38f95d207d7e591157d57c178cd87
Homepage: https://cran.r-project.org/package=amazonadsR
Description: CRAN Package 'amazonadsR' (Get Amazon Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Amazon Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-amazons3r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-amazons3r_0.1.0-1.ca2004.1_all.deb
Size: 22188
MD5sum: c3362fe039c296a3ac5095631be8f873
SHA1: 1b1b62d8a3f1bff1462c078800495b7cf4751218
SHA256: 50098b53ba9041bf630a3bceda5a405a4072248658cd9468ad9e0aceff95d789
SHA512: 178d370c48c586e42c77c7eac9f115fda922d5e5ab54eb0e23ce7a63284c3e5879b36d40138c40f4471ae6c0f5002ed30d48312e19bb8690eeee90072054a8fc
Homepage: https://cran.r-project.org/package=amazons3R
Description: CRAN Package 'amazons3R' (Get Amazon S3 Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Amazon S3 using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-amazonspr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-amazonspr_0.1.0-1.ca2004.1_all.deb
Size: 22184
MD5sum: 419c419bd62faf2542081cb262822aa5
SHA1: c200ece59f3e00bbff9e91adee7c1ef9ae0024f8
SHA256: 52bb1c3c42d4b6767882f31d1273176687cfa216ccf080346d3fedd5c7b9733e
SHA512: 2b8ded51947364134e61bf2bd775225a526c5d428262bce21e4718b094a74195d553848e77de2fb4736d02d26f21126c1a24ceb7237e26253563731fc1a8e0fe
Homepage: https://cran.r-project.org/package=amazonspR
Description: CRAN Package 'amazonspR' (Get Amazon Sp Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Amazon Sp using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-amberr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyjson
Filename: pool/dists/focal/main/r-cran-amberr_1.2.0-1.ca2004.1_all.deb
Size: 173676
MD5sum: d6ff835205f6421ce7cd40f143a319d3
SHA1: 3b5c15e87b5d582e7f7734aefc4ef22200e0df3a
SHA256: 5dc9fb0bfaca5ba25db6de551016b7b605e2109b6890cd8c418491a75e77dd5a
SHA512: 359a1eca14f73eb7f631805d00a5e7ea56ae2fb8f861545ef00f946ec885fdbe1dd0c6aaf6b5941e553c090840b9dcff9da0fe3d3fa03bb28a95c5024257a0ec
Homepage: https://cran.r-project.org/package=amberr
Description: CRAN Package 'amberr' ('Amber' Electronic Data Capture Client)
 'Amber' is a server application for capturing electronic data records.  Rich
 forms are used to collect data. This 'Amber' client allows to perform data
 extraction for reporting or data transfer at persistent location purposes.

Package: r-cran-ambhasgw
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-raster, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-ambhasgw_0.0.2-1.ca2004.1_all.deb
Size: 27980
MD5sum: 96c64ee54f99a230f2d5ca04e20f0c31
SHA1: 73a83c938c924b031c8b73116c1c73e3c53a9d4d
SHA256: 2905a6b4b81467a7de876d09c63f1da48194f4ded45359e37c052bef8a3b454a
SHA512: cc4c43221523e1715ab497a878ed10bb827925884ecdfda50de1698a78e1b1b7d832ec18655d661bc1fb8728e6c74e6ca70b8ae57ac8077818f26d67f856b013
Homepage: https://cran.r-project.org/package=ambhasGW
Description: CRAN Package 'ambhasGW' (Ground Water Modelling)
 Implements distributed transient groundwater modelling. The model is based
 on the groundwater flow equation solved numerically using the finite
 difference explicit scheme.

Package: r-cran-ambiorix
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2875
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-log, r-cran-cli, r-cran-glue, r-cran-httpuv, r-cran-assertthat, r-cran-webutils, r-cran-yyjsonr
Suggests: r-cran-mime, r-cran-readr, r-cran-readxl, r-cran-ggplot2, r-cran-promises, r-cran-jsonlite, r-cran-websocket, r-cran-htmltools, r-cran-commonmark, r-cran-htmlwidgets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ambiorix_2.2.0-1.ca2004.1_all.deb
Size: 2876212
MD5sum: 3dda5b8b105d6a78f64da410ab156032
SHA1: 1153b06b646eb22b150910e8bf22512f471e2209
SHA256: 7fcece5bbf64a83c8cb7b911fe4d161f638b8be58eb34734f5e898b6cd49a1e0
SHA512: 5732bc938341949b0b5e795ee9984caf3f5aded778c24b35bc5bbb7f0e3bb2488a59d2c5cc8bcedebc93dcc12878d594094462b69eec107de909e9eb1929ca4b
Homepage: https://cran.r-project.org/package=ambiorix
Description: CRAN Package 'ambiorix' (Web Framework Inspired by 'Express.js')
 A web framework inspired by 'express.js' to build any web service from
 multi-page websites to 'RESTful' application programming interfaces.

Package: r-cran-amcp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-amcp_1.0.2-1.ca2004.1_all.deb
Size: 357980
MD5sum: 507698df53b2a1c1a6a22606a1de6988
SHA1: 09eed468b08641ca19e88fb563f993b794e6fdaa
SHA256: 0c249891d456dd5b25b92140986945d5362f71ab213fc2cb44224d5994dc0de2
SHA512: 2d6f9daa1e7e36da349c6b801f11e68c64f15483d95af1b79c3010c51bb56c9dd23e1c26b885aaa299f32eff868856001950cbd6d82626e8b051e27cffeb7c24
Homepage: https://cran.r-project.org/package=AMCP
Description: CRAN Package 'AMCP' (A Model Comparison Perspective)
 Accompanies the book "Designing experiments and analyzing data: A model
 comparison perspective" (3rd ed.) by Maxwell, Delaney, & Kelley (2018;
 Routledge).  Contains all of the data sets in the book's chapters and
 end-of-chapter exercises. Information about the book is available at
 <https://designingexperiments.com/>.

Package: r-cran-amctestmaker
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-amctestmaker_1.0.0-1.ca2004.1_all.deb
Size: 43428
MD5sum: aa7b6b9011be0761487ee80afb8d5d33
SHA1: 6939257b2c0637f41f337468691ab4913cd7c75b
SHA256: 8b31ae7e503415b94342613fa4687c75e41ac9971d02876b2ab9d65da1596d1b
SHA512: 45087e380654bda9ecc7ee52244e772ad1736c8e378873c7fd9ee951ecd8e522fffc2b43a4eb699709391862e2e844f8b58f78714107554cfe24aec0a8db6eac
Homepage: https://cran.r-project.org/package=AMCTestmakeR
Description: CRAN Package 'AMCTestmakeR' (Generate LaTeX Code for Auto-Multiple-Choice (AMC))
 Generate code for use with the Optical Mark Recognition free software Auto
 Multiple Choice (AMC). More specifically, this package provides functions
 that use as input the question and answer texts, and output the LaTeX code
 for AMC.

Package: r-cran-amelie
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-amelie_0.2.1-1.ca2004.1_all.deb
Size: 40060
MD5sum: 023dea41abf3a29fd0844e1a5fe3cb88
SHA1: 161fb89494606531e2c7615bc8cf22aa28900815
SHA256: 41df7d009d9d13ab95cae7df8234c59ec9fb47f3f7465648e82841a6717fc4d7
SHA512: 8d46a5083989740a381a3929524d2b89b620c5dccd668d023975897f062134bf2d526a5b6d936fcec4d14464c6a0dca74953f7c6914e81dcd8d58dc5e0163423
Homepage: https://cran.r-project.org/package=amelie
Description: CRAN Package 'amelie' (Anomaly Detection with Normal Probability Functions)
 Implements anomaly detection as binary classification for cross-sectional
 data. Uses maximum likelihood estimates and normal probability functions to
 classify observations as anomalous. The method is presented in the following
 lecture from the Machine Learning course by Andrew Ng:
 <https://www.coursera.org/learn/machine-learning/lecture/C8IJp/algorithm/>,
 and is also described in: Aleksandar Lazarevic, Levent Ertoz, Vipin Kumar,
 Aysel Ozgur, Jaideep Srivastava (2003) <doi:10.1137/1.9781611972733.3>.

Package: r-cran-amen
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2404
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-coda, r-cran-network, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-amen_1.4.5-1.ca2004.1_all.deb
Size: 2122984
MD5sum: 66b039864c09a8ccd1a9c0c313000385
SHA1: b363cfe3c80dba716bfe8b002a7fb7a905f6bbb9
SHA256: 06b8158083a267b4a16743d36e406e231305fa357bcbbbe4f1c66eb0b3d35384
SHA512: 23dea0c3d484efcdedd6639ae99d4f15546ac5a0e7f8fc530cd0dce00656b0e0b964d35d1836bd577e3a06d3e92dd5f0d17173a5cb2ccbd1bb43426812caa48c
Homepage: https://cran.r-project.org/package=amen
Description: CRAN Package 'amen' (Additive and Multiplicative Effects Models for Networks andRelational Data)
 Analysis of dyadic network and relational data using additive and
 multiplicative effects (AME) models. The basic model includes regression
 terms, the covariance structure of the social relations model (Warner, Kenny
 and Stoto (1979) <DOI:10.1037/0022-3514.37.10.1742>, Wong (1982)
 <DOI:10.2307/2287296>), and multiplicative factor models (Hoff(2009)
 <DOI:10.1007/s10588-008-9040-4>).  Several different link functions
 accommodate different relational data structures, including binary/network
 data, normal relational data, zero-inflated positive outcomes using a tobit
 model, ordinal relational data and data from fixed-rank nomination schemes.
 Several of these link functions are discussed in Hoff, Fosdick, Volfovsky
 and Stovel (2013) <DOI:10.1017/nws.2013.17>. Development of this software
 was supported in part by NIH grant R01HD067509.

Package: r-cran-americancallopt
Architecture: all
Version: 0.95-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-americancallopt_0.95-1.ca2004.1_all.deb
Size: 44864
MD5sum: ab6c03a5d5ef01214f687c1e3f13f838
SHA1: e197f746e1fa791963dc2e0f3e8d85afb41ca57c
SHA256: 8d8940e720abe5ef30077c4972b7502736dbe63ad2489d5540db3da3fde16e02
SHA512: 4114a76d5882d22344a909df8365a0592a7de79b24581cf5128e4d93b26830089bc6745f2ba7b9f49938f5dc5c9c04e4cf763d135b50bd49e24c6aa4aa5a7ef8
Homepage: https://cran.r-project.org/package=AmericanCallOpt
Description: CRAN Package 'AmericanCallOpt' (This package includes pricing function for selected Americancall options with underlying assets that generate payouts)
 This package includes a set of pricing functions for American call options.
 The following cases are covered: Pricing of an American call using the
 standard binomial approximation; Hedge parameters for an American call with
 a standard binomial tree; Binomial pricing of an American call with
 continuous payout from the underlying asset; Binomial pricing of an American
 call with an underlying stock that pays proportional dividends in discrete
 time; Pricing of an American call on futures using a binomial approximation;
 Pricing of a currency futures American call using a binomial approximation;
 Pricing of a perpetual American call. The user should kindly notice that
 this material is for educational purposes only. The codes are not optimized
 for computational efficiency as they are meant to represent standard cases
 of analytical and numerical solution.

Package: r-cran-amerifluxr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-heatmaply, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-rcurl, r-cran-readxl
Suggests: r-cran-covr, r-cran-data.table, r-cran-knitr, r-cran-pander, r-cran-qpdf, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat, r-cran-mockr
Filename: pool/dists/focal/main/r-cran-amerifluxr_1.0.0-1.ca2004.1_all.deb
Size: 442072
MD5sum: f711a248587b36880eaa313d8587c176
SHA1: 27f42cabfcf41d753d26e794dc3daee7a94d6f05
SHA256: 3f84430694ee6017f0d0dded6382a082e377bcee4217037d006b81283f056dd7
SHA512: 6710043d8b30203e49375ab52dd014dff5251ac14e8b24a43c8b8f70ba2e5afe644cb436b4ed1a82a4f4cb01b4489be0cb009cbc37117aee511ed1b5d6fde60a
Homepage: https://cran.r-project.org/package=amerifluxr
Description: CRAN Package 'amerifluxr' (Interface to 'AmeriFlux' Data Services)
 Programmatic interface to the 'AmeriFlux' database
 (<https://ameriflux.lbl.gov/>). Provide query, download, and data summary
 tools.

Package: r-cran-amerika
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-amerika_0.1.1-1.ca2004.1_all.deb
Size: 15036
MD5sum: d5c129b2389c2b19e2ec9b1989aa67b5
SHA1: 0d641d9deed798311828a9dd7edfb872c747be93
SHA256: 0f59be29bf51f48fd57fb006eaaf47533f18431ec511380f474496595f64b4b1
SHA512: c63491289c6776d1f72bf96cf3577f66415ef2f0b5f5cb75301d9747ee9bc07c7b22d511439e4c52e70c7b553b24fdfe556e75faeb69436a77451ad55acc3050
Homepage: https://cran.r-project.org/package=amerika
Description: CRAN Package 'amerika' (American Politics-Inspired Color Palette Generator)
 A color palette generator inspired by American politics, with colors ranging
 from blue on the left to gray in the middle and red on the right. A variety
 of palettes allow for a range of applications from brief discrete scales
 (e.g., three colors for Democrats, Independents, and Republicans) to
 continuous interpolated arrays including dozens of shades graded from blue
 (left) to red (right). This package greatly benefitted from building on the
 source code (with permission) from Ram and Wickham (2015).

Package: r-cran-ameshousing
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-ameshousing_0.0.4-1.ca2004.1_all.deb
Size: 249104
MD5sum: e075f137ac45f9e9a7fa7eb4ac667712
SHA1: daee5f68b93550c8e6359e428b6bdc6d12928184
SHA256: 46af41475009e793aa7dac787013cf25b70158b7021bc5e5d2cfd930901555a6
SHA512: 621ca63866a59dac7979c5559c743c5b683a5288b0b470e13c0ef4ce0f7a8a4fa2910b5075db8d71374fad801493e116e6b71e73be8ff4a1b08598bf1f92213d
Homepage: https://cran.r-project.org/package=AmesHousing
Description: CRAN Package 'AmesHousing' (The Ames Iowa Housing Data)
 Raw and processed versions of the data from De Cock (2011)
 <http://ww2.amstat.org/publications/jse> are included in the package.

Package: r-cran-amget
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1259
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-amget_1.0-1.ca2004.1_all.deb
Size: 821484
MD5sum: 6d30c7528020d75ad519fd94e0da05c1
SHA1: 0043c2c9855023f01cf6c0ace10ec8b317b3960e
SHA256: f63f792c39e58cd7fe79941eb80aaa8e53f1685909baf5508d0c1a8a78341aba
SHA512: 4979014e1b39dfe0977dbea9debd85dd55d2bb00dd098e9eb137b950ec78dda95a404af70bf57b4a2f145644021ce15c720b47fd682d55c209ba0c5da283cb8b
Homepage: https://cran.r-project.org/package=AMGET
Description: CRAN Package 'AMGET' (Post-processing tool for ADAPT 5)
 AMGET allows to simply and rapidly creates highly informative diagnostic
 plots for ADAPT 5 models. Features include data analysis prior any modeling
 form either NONMEM or ADAPT shaped dataset, goodness-of-fit plots (GOF),
 posthoc-fits plots (PHF), parameters distribution plots (PRM) and visual
 predictive check plots (VPC) based on ADAPT output.

Package: r-cran-ami
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-rstudioapi
Suggests: r-cran-config, r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ami_0.2.1-1.ca2004.1_all.deb
Size: 61988
MD5sum: 6c5ddeb024b9c06aebd3f526737523ff
SHA1: be2a3bc0351d41a6acc7e18a01814309df9b3d9e
SHA256: 0c4d96710281611c429695da74df51d9dbd51facc13fe49441aa649157b012ac
SHA512: 3824f24ee1e12a4786cf62ba6d39f43ba848107bbb521fcf33c305f6ff0878c49b72665312c38046451392479cb2eef633f5d4075e061882eeab73b5f103445b
Homepage: https://cran.r-project.org/package=ami
Description: CRAN Package 'ami' (Checks for Various Computing Environments)
 A collection of lightweight functions that can be used to determine the
 computing environment in which your code is running.  This includes
 operating systems, continuous integration (CI) environments, containers, and
 more.

Package: r-cran-amigaffh
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 918
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tune, r-cran-vctrs
Suggests: r-cran-adfexplorer, r-cran-protrackr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-amigaffh_0.4.7-1.ca2004.1_all.deb
Size: 787076
MD5sum: 566cd8176c925b44f31a5dc01a65632f
SHA1: a2db04ae492bd754a729de34973850b2a3fe0b80
SHA256: 0b3bc5837d0461c571f3aee9f10350b7c53da8d2cbfd5b70abcd76aac4a3ed18
SHA512: 23e81370f30ebee9724eb1149e834cad64e06cac44484331c0cf4c80808a23bf9d2c64c851f647fcd719cd77011819eea589ef64e21d54890201f4be8c266d8a
Homepage: https://cran.r-project.org/package=AmigaFFH
Description: CRAN Package 'AmigaFFH' (Commodore Amiga File Format Handler)
 Modern software often poorly support older file formats. This package
 intends to handle many file formats that were native to the antiquated
 Commodore Amiga machine. This package focuses on file types from the older
 Amiga operating systems (<= 3.0). It will read and write specific file
 formats and coerces them into more contemporary data.

Package: r-cran-amim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-amim_1.0.0-1.ca2004.1_all.deb
Size: 43220
MD5sum: a43c424c6ff4156e38ce14a2b1eacd1e
SHA1: 5bc068566532f758292b2419cff47f8ba68a010b
SHA256: 1474414461027de93a80c39648d9189991b2c5a2db2a1c8cf883b11afe3e7610
SHA512: 27917fcfd60f6b5a949f3c87bf975ffa48018d3c0e590d71f433dde17ca362b9f81fc6f489c291223242e3f5d0e9745c97a4ed0c6bd2af93262ab5d9f26fe744
Homepage: https://cran.r-project.org/package=AMIM
Description: CRAN Package 'AMIM' (Compute the Adjusted Market Inefficiency Measure)
 Fast tool to calculate the Adjusted Market Inefficiency Measure following
 Tran & Leirvik (2019) <doi:10.1016/j.frl.2019.03.004>. This tool provides
 rolling window estimates of the Adjusted Market Inefficiency Measure for
 multiple instruments simultaneously.

Package: r-cran-aml
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-aml_0.1-1-1.ca2004.1_all.deb
Size: 413444
MD5sum: 419bdd3ddc03accee16f9785a35a14f1
SHA1: 5306295b1f1dcd0d0c36334954984b4958b79f6b
SHA256: 124293d433ce1f4c34901ffe605f2e165af445b8439f1692412f7df28de002dd
SHA512: 4e8e099973f250323242e87f40e91cfbdd8182dcd638b82df317e307b33a6ae26f090cb3971eb2eef93d4252e5913eba170252fd2025771de2b8c4b0828639a5
Homepage: https://cran.r-project.org/package=aml
Description: CRAN Package 'aml' (Adaptive Mixed LASSO)
 This package implements the adaptive mixed lasso (AML) method proposed by
 Wang et al.(2011).  AML applies adaptive lasso penalty to a large number of
 predictors, thus producing a sparse model, while accounting for the
 population structure in the linear mixed model framework.  The package here
 is primarily designed for application to genome wide association studies or
 genomic prediction in plant breeding populations, though it could be applied
 to other settings of linear mixed models.

Package: r-cran-ammibayes
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1514
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-distfree.cr, r-cran-coda, r-cran-spam, r-cran-movmf, r-cran-msm, r-cran-bayesplot, r-cran-hmisc
Suggests: r-cran-ggpubr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ammibayes_1.0-3-1.ca2004.1_all.deb
Size: 1397660
MD5sum: 45e3bd3cd26dc132f39746b21bca37d8
SHA1: 736349e78c84f91ef0f629650a97aef271abaf25
SHA256: 1359b5caf705469654a5b640f70413d6278271dbc6048b7a38a312cbbc6a3445
SHA512: 453732eb45887568b66c36032bb4b852458cab0a08831fda6837ec8140d67bb7cbd9e6d79d6382649ba9a2096017f631aae32cba64a3bcf14920d1e550964b56
Homepage: https://cran.r-project.org/package=ammiBayes
Description: CRAN Package 'ammiBayes' (Bayesian Ammi Model for Continuous Data)
 Flexible multi-environment trials analysis via MCMC method for Additive Main
 Effects and Multiplicative Model (AMMI) for continuous data.  Biplot with
 the averages and regions of confidence can be generated. The chains run in
 parallel on Linux systems and run serially on Windows.

Package: r-cran-ammistability
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 568
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-agricolae, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-reshape2, r-cran-rdpack, r-cran-mathjaxr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-xml, r-cran-httr, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-ammistability_0.1.4-1.ca2004.1_all.deb
Size: 467220
MD5sum: abfc79012d091b02fba4ef990cfd8d48
SHA1: 95060c818e2a230b4e11b443417f044e8cdae15e
SHA256: e61b374c57195ad728ee8f458c4037f28204932c530d6686839fbcc2b05571f1
SHA512: 11487d6f4de89ce28a6ced5b3a557bfbc3b97425bd6c44f53e2dfa474414a6f0c1fa5365fcb9e99d522f3845d8899c4be9d8906bd34a8c1c75188d58741ad88e
Homepage: https://cran.r-project.org/package=ammistability
Description: CRAN Package 'ammistability' (Additive Main Effects and Multiplicative Interaction ModelStability Parameters)
 Computes various stability parameters from Additive Main Effects and
 Multiplicative Interaction (AMMI) analysis results such as Modified AMMI
 Stability Value (MASV), Sums of the Absolute Value of the Interaction
 Principal Component Scores (SIPC), Sum Across Environments of
 Genotype-Environment Interaction Modelled by AMMI (AMGE), Sum Across
 Environments of Absolute Value of Genotype-Environment Interaction Modelled
 by AMMI (AV_(AMGE)), AMMI Stability Index (ASI), Modified ASI (MASI), AMMI
 Based Stability Parameter (ASTAB), Annicchiarico's D Parameter (DA), Zhang's
 D Parameter (DZ), Averages of the Squared Eigenvector Values (EV), Stability
 Measure Based on Fitted AMMI Model (FA), Absolute Value of the Relative
 Contribution of IPCs to the Interaction (Za). Further calculates the
 Simultaneous Selection Index for Yield and Stability from the computed
 stability parameters. See the vignette for complete list of citations for
 the methods implemented.

Package: r-cran-ammodels
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1808
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-unmarked
Suggests: r-cran-r.rsp, r-cran-shiny, r-cran-shinybs, r-cran-knitr, r-cran-aiccmodavg
Filename: pool/dists/focal/main/r-cran-ammodels_0.1.4-1.ca2004.1_all.deb
Size: 1294624
MD5sum: fc07d24e49011bccb1d43fb71af0d7d8
SHA1: 2094f3ee66f83daa21b1f6073c4608e45d00faa3
SHA256: 1428648d5ee826b8940a3e31319a68727ac68d50ad55b4253f905a27bd5ebed9
SHA512: fc8754a58642dc2860a0941674a0942f1b34f8066f2eaeff0b58cdcc89ca0bb8a9886ab4dc53518c7fe2401d89ea44af942d0d2d108b89a15ec5d7dc09588c04
Homepage: https://cran.r-project.org/package=AMModels
Description: CRAN Package 'AMModels' (Adaptive Management Model Manager)
 Helps enable adaptive management by codifying knowledge in the form of
 models generated from numerous analyses and data sets. Facilitates this
 process by storing all models and data sets in a single object that can be
 updated and saved, thus tracking changes in knowledge through time. A shiny
 application called AM Model Manager (modelMgr()) enables the use of these
 functions via a GUI.

Package: r-cran-ammoniaconcentration
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ammoniaconcentration_0.1-1.ca2004.1_all.deb
Size: 10984
MD5sum: 7088f3e872149c6edd218dd658038c59
SHA1: 3f1124dd70b73428e11feff14bf52faaa9ff382f
SHA256: b83c31119bcaf7f57450dee4abee33d950ab72f5e049b5c2f895dca1f1bc81fc
SHA512: 665a6593d38a4e10a6631b057ad29e69508e13c75d71699400dfc9ce7a346de949b910dd93953cf29b5056f7ae87bfabcb0faf30b05415beaf3069b7252f03c9
Homepage: https://cran.r-project.org/package=AmmoniaConcentration
Description: CRAN Package 'AmmoniaConcentration' (Un-Ionized Ammonia Concentration)
 Provides a function to calculate the concentration of un-ionized ammonia in
 the total ammonia in aqueous solution using the pH and temperature values.

Package: r-cran-amnlfa
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mplusautomation, r-cran-reshape2, r-cran-gridextra, r-cran-stringr, r-cran-plyr, r-cran-devtools, r-cran-dplyr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-amnlfa_1.1.2-1.ca2004.1_all.deb
Size: 237148
MD5sum: d3ca2c054200cd91bac46c3645cd553e
SHA1: c913c1cc645acf084140c6ffae3399e6dc0a5dda
SHA256: 601c06096531db2d233b9890de585f1381dcd3f01a53bc4b8bca539e2e1df00e
SHA512: 1ac0b0d9347e80b85658ccbeda7024215022cdedc572dde04ffc682b5696749b64a857454a85c47ae433b27d5b729e05d038c78186affbe054825b0304315880
Homepage: https://cran.r-project.org/package=aMNLFA
Description: CRAN Package 'aMNLFA' (Automated Moderated Nonlinear Factor Analysis Using 'M-plus')
 Automated generation, running, and interpretation of moderated nonlinear
 factor analysis models for obtaining scores from observed variables, using
 the method described by Gottfredson and colleagues (2019)
 <doi:10.1016/j.addbeh.2018.10.031>. This package creates M-plus input files
 which may be run iteratively to test two different types of covariate
 effects on items: (1) latent variable impact (both mean and variance); and
 (2) differential item functioning. After sequentially testing for all
 effects, it also creates a final model by including all significant effects
 after adjusting for multiple comparisons. Finally, the package creates a
 scoring model which uses the final values of parameter estimates to generate
 latent variable scores. \n\n This package generates TEMPLATES for M-plus
 inputs, which can and should be inspected, altered, and run by the user. In
 addition to being presented without warranty of any kind, the package is
 provided under the assumption that everyone who uses it is reading,
 interpreting, understanding, and altering every M-plus input and output
 file. There is no one right way to implement moderated nonlinear factor
 analysis, and this package exists solely to save users time as they generate
 M-plus syntax according to their own judgment.

Package: r-cran-amoeba
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall, r-cran-rlecuyer, r-cran-spdep
Suggests: r-cran-maptools, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-amoeba_1.1-1.ca2004.1_all.deb
Size: 24908
MD5sum: 28a184ca600352dd22ce8c61017e9f62
SHA1: 441b0d0228fb7f81bc7c2564cb44e4fcbf70511e
SHA256: 4ab501239388c37225def25eb1aad3f0201f957a448efcd58ebbe022f34927ce
SHA512: 32de980bf5008841d5c71466f9c4d0f60c9750ebfb42c1f801f8be8d683f979876212a8c0bd0689d465ffaf712055c061875f6d8aea066a91935191dfa4dd966
Homepage: https://cran.r-project.org/package=AMOEBA
Description: CRAN Package 'AMOEBA' (A Multidirectional Optimum Ecotope-Based Algorithm)
 A function to calculate spatial clusters using the Getis-Ord local
 statistic. It searches irregular clusters (ecotopes) on a map.

Package: r-cran-amoudsurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ahsurv, r-cran-flexsurv, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-amoudsurv_0.1.0-1.ca2004.1_all.deb
Size: 184072
MD5sum: 17577eb7ca1f13b1970ceb2a0b9a019d
SHA1: 05bc2900a9c9714f9d9ea9ff367ad490b105f76a
SHA256: f2e51177bd99b224e309304eab8c41e99f08888705ec3789f5845a6a174e88c4
SHA512: 7b3b9613f7cbea65172fd040d1b1584c66272c9951dde62a9c7e621eead6b403347b5d688dde11af78bb80520ef7fd8c53672d5f22e14a0979d7937c3dbfb92b
Homepage: https://cran.r-project.org/package=AmoudSurv
Description: CRAN Package 'AmoudSurv' (Tractable Parametric Odds-Based Regression Models)
 Fits tractable fully parametric odds-based regression models for survival
 data, including proportional odds (PO), accelerated failure time (AFT),
 accelerated odds (AO), and General Odds (GO) models in overall survival
 frameworks. Given at least an R function specifying the survivor, hazard
 rate and cumulative distribution functions, any user-defined parametric
 distribution can be fitted. We applied and evaluated a minimum of seventeen
 (17) various baseline distributions that can handle different failure rate
 shapes for each of the four different proposed odds-based regression models.
 For more information see Bennet et al., (1983) <doi:10.1002/sim.4780020223>,
 and Muse et al., (2022) <doi:10.1016/j.aej.2022.01.033>.

Package: r-cran-amp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-superlearner, r-cran-glmnet, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-amp_1.0.0-1.ca2004.1_all.deb
Size: 228848
MD5sum: daf7e6fd7ba7a7be77d54094ae17926f
SHA1: 7b767869a98f27f7e101e1414c1837e839104bf9
SHA256: ba9d1edec7e1a95bfa091302c57a534a9f146d5ca2788ba53e0dc0a9e8051091
SHA512: c1091fec0871dd3aab16a3d9720d588314244710edd55f29301beca9609a5135b1871b2bf4937a83ff00082eb147edbe5d25e1cb88cf089f8f326768ca435f0f
Homepage: https://cran.r-project.org/package=amp
Description: CRAN Package 'amp' (Statistical Test for the Multivariate Point Null Hypotheses)
 A testing framework for testing the multivariate point null hypothesis.  A
 testing framework described in Elder et al. (2022) <arXiv:2203.01897> to
 test the multivariate point null hypothesis.  After the user selects a
 parameter of interest and defines the assumed data generating mechanism,
 this information should be encoded in functions for the parameter estimator
 and its corresponding influence curve. Some parameter and data generating
 mechanism combinations have codings in this package, and are explained in
 detail in the article.

Package: r-cran-ampd
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ampd_0.2-1.ca2004.1_all.deb
Size: 16612
MD5sum: ddb8167e408975e331203f5648e695d4
SHA1: cc49be2ee9126a507440cb648fe9a42f2cccec82
SHA256: 7b7489aee62d54967107bc72a41ad656a31a3be55b9fe85109e677c10ecb118d
SHA512: 0ac84ca018bb348a31aa711e360b2d0de979737a7429d58e12f4d0d40c48d941a7cef507939cad196873f9bd4271b9bb9030a055e3953fb2643ff6debb4a6672
Homepage: https://cran.r-project.org/package=ampd
Description: CRAN Package 'ampd' (An Algorithm for Automatic Peak Detection in Noisy Periodic andQuasi-Periodic Signals)
 A method for automatic detection of peaks in noisy periodic and
 quasi-periodic signals. This method, called automatic multiscale-based peak
 detection (AMPD), is based on the calculation and analysis of the local
 maxima scalogram, a matrix comprising the scale-dependent occurrences of
 local maxima.  For further information see <doi:10.3390/a5040588>.

Package: r-cran-ampgram
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biogram, r-cran-devtools, r-cran-pbapply, r-cran-ranger, r-cran-shiny, r-cran-stringi
Suggests: r-cran-dt, r-cran-ggplot2, r-cran-pander, r-cran-rmarkdown, r-cran-shinythemes, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ampgram_1.0-1.ca2004.1_all.deb
Size: 85072
MD5sum: 308f8bdaf26bb21ce6fba5e50be59f06
SHA1: 60315f5f745f3433fbac75b98462a8e6d2f70fac
SHA256: fa0c622b493e6ac12e7b399b4e12d7cfaa85b4e26d9038b3509408facfc4969f
SHA512: d99cdd74a31d7d7b6f5796a718afc3dc34f64221a6e0e5e39eef5d48d1cff37dcd23a4f53b257973d17469088bcf4857bc93b46b631e7e5b99b458483ad56684
Homepage: https://cran.r-project.org/package=AmpGram
Description: CRAN Package 'AmpGram' (Prediction of Antimicrobial Peptides)
 Predicts antimicrobial peptides using random forests trained on the n-gram
 encoded peptides. The implemented algorithm can be accessed from both the
 command line and shiny-based GUI. The AmpGram model is too large for CRAN
 and it has to be downloaded separately from the repository:
 <https://github.com/michbur/AmpGramModel>.

Package: r-cran-ample
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3941
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-markdown, r-cran-rcolorbrewer, r-cran-r6, r-cran-scales, r-cran-shinyjs, r-cran-ggplot2, r-cran-shinyscreenshot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ample_1.0.2-1.ca2004.1_all.deb
Size: 1504480
MD5sum: af450c1b01ba8a14bc45f8613ef90ea9
SHA1: cc0ec76edc8ef8813598e76e3fbf624ac75b9899
SHA256: 24af30c164fbe7587473e53e1e79fbf81626dbee0582a01d333f28dfe6c8f98a
SHA512: f4e3419a9b8ad86a148d24561ecefd927c38f95558593ea3c6ad9627723ccee0e2e98883ffe67ebabeb59da229e05b1d86cb5a49cd070c6cae717ec5607e373d
Homepage: https://cran.r-project.org/package=AMPLE
Description: CRAN Package 'AMPLE' (Shiny Apps to Support Capacity Building on Harvest Control Rules)
 Three Shiny apps are provided that introduce Harvest Control Rules (HCR) for
 fisheries management.  'Introduction to HCRs' provides a simple overview to
 how HCRs work. Users are able to select their own HCR and step through its
 performance, year by year. Biological variability and estimation uncertainty
 are introduced.  'Measuring performance' builds on the previous app and
 introduces the idea of using performance indicators to measure HCR
 performance.  'Comparing performance' allows multiple HCRs to be created and
 tested, and their performance compared so that the preferred HCR can be
 selected.

Package: r-cran-ampliconduo
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-ampliconduo_1.1.1-1.ca2004.1_all.deb
Size: 563116
MD5sum: 571e43dd32cfc69942df0ace35b59e3a
SHA1: d5e9879c155bbdb249d6db03cada80b425df92d1
SHA256: ecc144959026b098405a898d51e7e4d8e04a22294028f4d1c57b39c58bd7f6a5
SHA512: 1561e28009061b85d0a8c7da41a6ca5876b32931c632e41f2802a0cbfd15b8f36ac0d8631f780c08dec228b0b5dfd8d40bf7911520092ad8369acffce3444bb0
Homepage: https://cran.r-project.org/package=AmpliconDuo
Description: CRAN Package 'AmpliconDuo' (Statistical Analysis of Amplicon Data of the Same Sample toIdentify Artefacts)
 Increasingly powerful techniques for high-throughput sequencing open the
 possibility to comprehensively characterize microbial communities, including
 rare species. However, a still unresolved issue are the substantial error
 rates in the experimental process generating these sequences. To overcome
 these limitations we propose an approach, where each sample is split and the
 same amplification and sequencing protocol is applied to both halves. This
 procedure should allow to detect likely PCR and sequencing artifacts, and
 true rare species by comparison of the results of both parts. The
 AmpliconDuo package, whereas amplicon duo from here on refers to the two
 amplicon data sets of a split sample, is intended to help interpret the
 obtained read frequency distribution across split samples, and to filter the
 false positive reads.

Package: r-cran-amr
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4987
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-cleaner, r-cran-cli, r-cran-crayon, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-openxlsx, r-cran-parallelly, r-cran-pillar, r-cran-progress, r-cran-readxl, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rvest, r-cran-skimr, r-cran-testthat, r-cran-tibble, r-cran-tidymodels, r-cran-tidyselect, r-cran-tinytest, r-cran-vctrs, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-amr_3.0.0-1.ca2004.1_all.deb
Size: 4787604
MD5sum: 2cf0703149e1aeceddb3527f72fdaa42
SHA1: 6300b8b10284028366f8792a5ef05e7d8878afd5
SHA256: 63b839f4cfabdede8727ed49df429a2430e41396c418dd7df794cac02a745ef5
SHA512: 204ea748b7e33adc4de5a2285738d89033912132a951b69dd53cef158a766fdad929b75a10116818361c50ff31fcfeaa8df4f6da86221c29581073be9bdb39d4
Homepage: https://cran.r-project.org/package=AMR
Description: CRAN Package 'AMR' (Antimicrobial Resistance Data Analysis)
 Functions to simplify and standardise antimicrobial resistance (AMR) data
 analysis and to work with microbial and antimicrobial properties by using
 evidence-based methods, as described in <doi:10.18637/jss.v104.i03>.

Package: r-cran-amregtest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-allelematch, r-cran-digest, r-cran-remotes, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-amregtest_1.0.3-1.ca2004.1_all.deb
Size: 128720
MD5sum: 84e1c8992a26f7167720fd75f2c2c79e
SHA1: 49b14dbf3580f308209bc67b6b43ee769ca32d54
SHA256: 7f1eeed6242114c5fcc4caad1f629f4ef16b2639050b694f769b45e97f2b9554
SHA512: e20b4c5cb4b7e54dbe653be292fff5d72641dcfb1a9028a40514b2beb717fae5ee78984ce45f82a76d8b1b76442ffba63ba36d121372e18c9defbc9b7f57feac
Homepage: https://cran.r-project.org/package=amregtest
Description: CRAN Package 'amregtest' (Runs Allelematch Regression Tests)
 Automates regression testing of package 'allelematch'. Over 2500 tests
 covers all functions in 'allelematch', reproduces the examples from the
 documentation and includes negative tests. The implementation is based on
 'testthat'.

Package: r-cran-amscorer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-amscorer_0.1.0-1.ca2004.1_all.deb
Size: 68936
MD5sum: 20e34ec5e4cf92b64e326038f6b23734
SHA1: 07b9b62d0c7f42211b137e42f5f2326bf60ea5ec
SHA256: 889b2402dd9fa6b202c8ac1adfe799a6f9be1bcd7a155a83d14a899397ad1362
SHA512: 6a0128f852f07c7c6b64a72b66f828f2a4fd59b51f41b7bac1292a679253ac66f18290cb33dde834f7ae1c16e43d701b50ffcaad62b21990e4cbb520b07dfc7f
Homepage: https://cran.r-project.org/package=amscorer
Description: CRAN Package 'amscorer' (Clinical Scores Calculator for Healthcare)
 Provides functions to compute various clinical scores used in healthcare.
 These include the Charlson Comorbidity Index (CCI), predicting 10-year
 survival in patients with multiple comorbidities; the EPICES score, an
 individual indicator of precariousness considering its multidimensional
 nature; the MELD score for chronic liver disease severity; the Alternative
 Fistula Risk Score (a-FRS) for postoperative pancreatic fistula risk; and
 the Distal Pancreatectomy Fistula Risk Score (D-FRS) for risk following
 distal pancreatectomy.  For detailed methodology, refer to Charlson et al.
 (1987) <doi:10.1016/0021-9681(87)90171-8> , Sass et al. (2006)
 <doi:10.1007/s10332-006-0131-5>, Kamath et al. (2001)
 <doi:10.1053/jhep.2001.22172>, Kim et al. (2008) <doi:10.1056/NEJMoa0801209>
 Kim et al. (2021) <doi:10.1053/j.gastro.2021.08.050>, Mungroop et al. (2019)
 <doi:10.1097/SLA.0000000000002620>, and de Pastena et al. (2023)
 <doi:10.1097/SLA.0000000000005497>..

Package: r-cran-amt
Architecture: all
Version: 0.2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4811
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-circular, r-cran-ctmm, r-cran-data.table, r-cran-dplyr, r-cran-fitdistrplus, r-cran-fnn, r-cran-kernsmooth, r-cran-lubridate, r-cran-mass, r-cran-purrr, r-cran-rdpack, r-cran-rlang, r-cran-sf, r-cran-sfheaders, r-cran-survival, r-cran-terra, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-adehabitatlt, r-cran-broom, r-cran-ggplot2, r-cran-ggraph, r-cran-geosphere, r-cran-knitr, r-cran-leaflet, r-cran-movehmm, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-suncalc, r-cran-tidygraph, r-cran-tinytest, r-cran-units
Filename: pool/dists/focal/main/r-cran-amt_0.2.2.0-1.ca2004.1_all.deb
Size: 3523344
MD5sum: 8b4b01f7cd83b5a6647c3cdc33d3f4b4
SHA1: b0003c4347fb7849d0344592da3a774657e6c811
SHA256: 42189f3535fd7eead2ec2c4cfa8e3ca0bc154a523b496d1dafeaf5ac1132b7fc
SHA512: 9224e4d4dac7bd3193e79fcd846aafe49179dac30caeab321765aab75035f0bcf14acf3631baba4da4744fdf54f3f786c77547c5472c382b7029a5763d49bd3a
Homepage: https://cran.r-project.org/package=amt
Description: CRAN Package 'amt' (Animal Movement Tools)
 Manage and analyze animal movement data. The functionality of 'amt' includes
 methods to calculate home ranges, track statistics (e.g. step lengths,
 speed, or turning angles), prepare data for fitting habitat selection
 analyses, and simulation of space-use from fitted step-selection functions.

Package: r-cran-amvenndiagram5
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1628
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-partitions, r-cran-venn
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-amvenndiagram5_1.0.0-1.ca2004.1_all.deb
Size: 1105364
MD5sum: 50179dc6f74ebe361c78ac8e37f3212d
SHA1: b5453d1739e9099192c209c23807cf8a1bc733a9
SHA256: c234717b43cc2779630177fbfb9969aa558c28344348f8611f714f8ad0ae7ef4
SHA512: bad50def8cbd7da86083038f3fecdb598d199041c8e5272a0a3158f3926c154d160314dde4e07622d825144f4fe8c4fb181ca2ed296e86e8f3ce436ff0d1610f
Homepage: https://cran.r-project.org/package=amVennDiagram5
Description: CRAN Package 'amVennDiagram5' (Interactive Venn Diagrams)
 Creates interactive Venn diagrams using the 'amCharts5' library for
 'JavaScript'. They can be used directly from the R console, from 'RStudio',
 in 'shiny' applications, and in 'rmarkdown' documents.

Package: r-cran-amylogram
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 852
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biogram, r-cran-ranger, r-cran-seqinr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-amylogram_1.1-1.ca2004.1_all.deb
Size: 654724
MD5sum: 75e3de047ac747b9ad42a3a94fe6f588
SHA1: 958c81e8febb5be6145a2876b5f22688095bb852
SHA256: 66f7f28711dd86a0e702c0c79e35c42365c24a3401ed440109dbc3b38e66ac16
SHA512: cccfa9894098aeaa8202b634a1864f6a17bb8839ae62f8b32e85a79b108e82f6ab73e11de4c0d62fe43a3aa93710bc269c61d60c201183df7bc18328ee034235
Homepage: https://cran.r-project.org/package=AmyloGram
Description: CRAN Package 'AmyloGram' (Prediction of Amyloid Proteins)
 Predicts amyloid proteins using random forests trained on the n-gram encoded
 peptides. The implemented algorithm can be accessed from both the command
 line and shiny-based GUI.

Package: r-cran-anabel
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3407
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-kableextra, r-cran-minpack.lm, r-cran-openxlsx, r-cran-progress, r-cran-purrr, r-cran-qpdf, r-cran-reshape2, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-anabel_3.0.2-1.ca2004.1_all.deb
Size: 774108
MD5sum: ecabac00e3d20e450fac4f978defc7ec
SHA1: 387cf9694bf56cf871cd1ee744f46e720051f346
SHA256: 52cf3ac2dd8bccca124953251f6d1335b85f24187b42bfe04f65927121974dad
SHA512: 225334da176e6cb4ec6220cc20d9f71cc925fefea418197792ed37370885062360176982e2f597470600bbcc0359db282548fc9b61bf615edf27a65b80b17f3d
Homepage: https://cran.r-project.org/package=anabel
Description: CRAN Package 'anabel' (Analysis of Binding Events + l)
 A free software for a fast and easy analysis of 1:1 molecular interaction
 studies.  This package is suitable for a high-throughput data analysis.
 Both the online app and the package are completely open source.  You provide
 a table of sensogram, tell 'anabel' which method to use, and it takes care
 of all fitting details.  The first two releases of 'anabel' were created and
 implemented as in (<doi:10.1177/1177932218821383>,
 <doi:10.1093/database/baz101>).

Package: r-cran-anaconda
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-bioc-deseq2, r-cran-ggplot2, r-cran-ggrepel, r-cran-pheatmap, r-cran-lookup, r-cran-plyr, r-cran-data.table, r-cran-rafalib, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-anaconda_0.1.5-1.ca2004.1_all.deb
Size: 173612
MD5sum: 5e270070a145b2aeb6c4960310bd903a
SHA1: 459048ddca9789953c4a4bcdea7d5f5e347b1638
SHA256: 75d879329900925b0940e665a0930a3164781d62bb269ce5e6c8ebb7b2f2bf37
SHA512: 12a85856e70663b952f7625f9a70339db707241c199f2fdf09365f52d45043347d16b0920702792695c23f019b1ea4861549e564deeb6161eb3dd7f53100cf65
Homepage: https://cran.r-project.org/package=Anaconda
Description: CRAN Package 'Anaconda' (Targeted Differential and Global Enrichment Analysis ofTaxonomic Rank by Shared Asvs)
 Targeted differential and global enrichment analysis of taxonomic rank by
 shared ASVs (Amplicon Sequence Variant), for high-throughput eDNA sequencing
 of fungi, bacteria, and metazoan.  Actually works in two steps: I) Targeted
 differential analysis from QIIME2 data and II) Global analysis by Taxon
 Mann-Whitney U test analysis from targeted analysis (I) (I) Estimate
 variance-mean dependence in count/abundance ASVs data from high-throughput
 sequencing assays and test for differential represented ASVs based on a
 model using the negative binomial distribution.  (II) NCBITaxon_MWU uses
 continuous measure of significance (such as fold-change or -log(p-value)) to
 identify NCBITaxon that are significantly enriches with either up- or
 down-represented ASVs. If the measure is binary (0 or 1) the script will
 perform a typical 'NCBITaxon enrichment' analysis based Fisher's exact test:
 it will show NCBITaxon over-represented among the ASVs that have 1 as their
 measure. On the plot, different fonts are used to indicate significance and
 color indicates enrichment with either up (red) or down (blue) regulated
 ASVs. No colors are shown for binary measure analysis. The tree on the plot
 is hierarchical clustering of NCBITaxon based on shared ASVs. Categories
 with no branch length between them are subsets of each other. The fraction
 next to the category name indicates the fraction of 'good' ASVs in it;
 'good' ASVs are the ones exceeding the arbitrary absValue cutoff (option in
 taxon_mwuPlot()). For Fisher's based test, specify absValue=0.5. This value
 does not affect statistics and is used for plotting only. The original idea
 was for genes differential expression analysis from Wright et al (2015)
 <doi:10.1186/s12864-015-1540-2>; adapted here for taxonomic analysis.  The
 'Anaconda' package makes it possible to carry out these analyses by
 automatically creating several graphs and tables and storing them in
 specially created subfolders. You will need your QIIME2 pipeline output for
 each kingdom (eg; Fungi and/or Bacteria and/or Metazoan): i) taxonomy.tsv,
 ii) taxonomy_RepSeq.tsv, iii) ASV.tsv and iv) SampleSheet_comparison.txt
 (the latter being created by you).

Package: r-cran-anacor
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-car, r-cran-colorspace, r-cran-fda
Filename: pool/dists/focal/main/r-cran-anacor_1.1-5-1.ca2004.1_all.deb
Size: 338708
MD5sum: b0845f762043352cd1064783b60504aa
SHA1: a9afa9af89b89539cbb2fd732513875000163e55
SHA256: c5128c6aeafa5ef2f4516e64a916900e33747b74e794f2680c5334fc375b96b3
SHA512: 17c9180005c691a98f92f6617ac9bb42ec9b009826143de0326668f734efd2566dfb2c4615cc47f22d4e19b934ceb3e8209c7a726dde512f16b712ec669fcd0e
Homepage: https://cran.r-project.org/package=anacor
Description: CRAN Package 'anacor' (Simple and Canonical Correspondence Analysis)
 Performs simple and canonical CA (covariates on rows/columns) on a two-way
 frequency table (with missings) by means of SVD. Different scaling methods
 (standard, centroid, Benzecri, Goodman) as well as various plots including
 confidence ellipsoids are provided.

Package: r-cran-analitica
Architecture: all
Version: 1.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-ggridges, r-cran-patchwork, r-cran-moments, r-cran-magrittr, r-cran-rlang, r-cran-tidyselect, r-cran-multcompview
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-analitica_1.8.5-1.ca2004.1_all.deb
Size: 234324
MD5sum: f46a1fe48c15d79cdb21d3410f1b94af
SHA1: 444a0c979dc3e88a68ab4f36df093e085721ee26
SHA256: c9b1b09e116f02f9e5ddf31b37be656f2b6709d8770fd78a923e3fef3176d85c
SHA512: 4fe53a4e7f5a1a058272693dc194e2ecd053516ee1e125834a018b85469c77d846435dd2776572d35201fa0090f4f8edecbe56ffba34207690058f914eeb99c2
Homepage: https://cran.r-project.org/package=Analitica
Description: CRAN Package 'Analitica' (Exploratory Data Analysis, Group Comparison Tools, and OtherProcedures)
 Provides a comprehensive set of tools for descriptive statistics, graphical
 data exploration, outlier detection, homoscedasticity testing, and multiple
 comparison procedures. Includes manual implementations of Levene's test,
 Bartlett's test, and the Fligner-Killeen test, as well as post hoc
 comparison methods such as Tukey, Scheffé, Games-Howell, Brunner-Munzel, and
 others.  This version introduces two new procedures: the Jonckheere-Terpstra
 trend test and the Jarque-Bera test with Glinskiy's (2024) correction.
 Designed for use in teaching, applied statistical analysis, and reproducible
 research.

Package: r-cran-analogsea
Architecture: all
Version: 1.0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ssh, r-cran-aws.s3, r-cran-arrow
Filename: pool/dists/focal/main/r-cran-analogsea_1.0.7.2-1.ca2004.1_all.deb
Size: 366436
MD5sum: fa977a2cc2430a230563eebb3afa9ed8
SHA1: 336c006aa647554220ec0b61e58e636c177112a3
SHA256: e9a8ff47c03d093f9f8abaa2d9e63e2907a49454ffa8d7bf6c7348e22a27f50a
SHA512: 166b053e03f222f74f28e7aede01a79cc522d536d4ba8f2b64c073e8019695ea1ae9c3feb8fbfbb3bcb348774077ddfd64d0045bbee25e859794157eed25a461
Homepage: https://cran.r-project.org/package=analogsea
Description: CRAN Package 'analogsea' (Interface to 'DigitalOcean')
 Provides a set of functions for interacting with the 'DigitalOcean' API
 <https://www.digitalocean.com/>, including creating images, destroying them,
 rebooting, getting details on regions, and available images.

Package: r-cran-analysislin
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc, r-cran-ggplot2, r-cran-plotly, r-cran-caret, r-cran-htmltools, r-cran-dt, r-cran-magrittr, r-cran-rann
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-analysislin_0.1.2-1.ca2004.1_all.deb
Size: 88412
MD5sum: 5a9e2fe845d573964bd8d9ef726f9ef7
SHA1: 75cb39d064e832822d1e1137d0d683b2af9397d2
SHA256: 1f9651a68bd36dc439c6c5690efbce9614b5758c22086686a5c95be7f037b332
SHA512: bbe887a25f8270db0a413e808e66d16913ff3aec0093d07e24a9cac2f83b9b4c92ec1d37b1c8ad61cb1cf6bb0fbdd356004a47e4a1b494a4adf5890f03e05cf6
Homepage: https://cran.r-project.org/package=AnalysisLin
Description: CRAN Package 'AnalysisLin' (Exploratory Data Analysis)
 A quick and effective data exploration toolkit. It provides essential
 features, including a descriptive statistics table for a quick overview of
 your dataset, interactive distribution plots to visualize variable patterns,
 Principal Component Analysis for dimensionality reduction and feature
 analysis, missing value imputation methods, and correlation analysis.

Package: r-cran-analysispipelines
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-piper, r-cran-ggplot2, r-cran-dplyr, r-cran-futile.logger, r-cran-rcurl, r-cran-rlang, r-cran-proto, r-cran-purrr
Suggests: r-cran-plotly, r-cran-knitr, r-cran-rmarkdown, r-cran-visnetwork, r-cran-rjson, r-cran-dt, r-cran-shiny, r-cran-r.devices, r-cran-corrplot, r-cran-car, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-analysispipelines_1.0.2-1.ca2004.1_all.deb
Size: 1569740
MD5sum: 3c820d865b333a03df3fe333801a17ac
SHA1: 1fa7e2c92e82b67f60126a33cd499eca654985a1
SHA256: a5049e737919568589a05b27b7544eb3aeea5dc5273e7d759445a1e04968d0f3
SHA512: f5b466f9c0b24ba39e698c9e5844758dd86bad9c7d6a488641599b0dfe5407146cf46e9c6ac725416837965bc884ab9e4c017d17f3c0c914ae74af417d12f9b2
Homepage: https://cran.r-project.org/package=analysisPipelines
Description: CRAN Package 'analysisPipelines' (Compose Interoperable Analysis Pipelines & Put Them inProduction)
 Enables data scientists to compose pipelines of analysis which consist of
 data manipulation, exploratory analysis & reporting, as well as modeling
 steps. Data scientists can use tools of their choice through an R interface,
 and compose interoperable pipelines between R, Spark, and Python.  Credits
 to Mu Sigma for supporting the development of the package.  Note - To enable
 pipelines involving Spark tasks, the package uses the 'SparkR' package.  The
 SparkR package needs to be installed to use Spark as an engine within a
 pipeline. SparkR is distributed natively with Apache Spark and is not
 distributed on CRAN. The SparkR version needs to directly map to the Spark
 version (hence the native distribution), and care needs to be taken to
 ensure that this is configured properly.  To install SparkR from Github, run
 the following command if you know the Spark version:
 'devtools::install_github('apache/spark@v2.x.x', subdir='R/pkg')'.  The
 other option is to install SparkR by running the following terminal commands
 if Spark has already been installed: '$ export
 SPARK_HOME=/path/to/spark/directory && cd $SPARK_HOME/R/lib/SparkR/ && R -e
 "devtools::install('.')"'.

Package: r-cran-analyz
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-analyz_1.4-1.ca2004.1_all.deb
Size: 122876
MD5sum: 157d5929618c933ad99798421b32e5fd
SHA1: c21a19843502fff9b18236e795adea915114b8dd
SHA256: 03d623940d66fe0a3922353ec091a58f8a2cb8b295b5e61b98003fbc5358c75c
SHA512: f6c9f7945eeca9ef013a8d039a83cb4d26189a7798786ef16b19ce48445be524fc11f5f6bced01b4029a25ff36dee08561e852c2d9825a2ad41676392518a131
Homepage: https://cran.r-project.org/package=analyz
Description: CRAN Package 'analyz' (Model Layer for Automatic Data Analysis via CSV FileInterpretation)
 Class with methods to read and execute R commands described as steps in a
 CSV file.

Package: r-cran-analyzer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-dplyr
Suggests: r-cran-data.table, r-cran-testthat, r-cran-tidyr, r-cran-reshape2, r-cran-rmarkdown, r-cran-mass, r-cran-shiny, r-cran-nnet, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-analyzer_1.0.1-1.ca2004.1_all.deb
Size: 427096
MD5sum: 733c4d86864cc4569aa9fa9c7b22339a
SHA1: 6146fadbf614b3e7137ad9760a234db3191d576b
SHA256: 672d3cfc044c144314b586c2db40473b37f953e6a6e83f6f7a96cc1a9c15d0c6
SHA512: 352a0abdef416448fa72b0f53c0e04c608105cd5a4a1eb07e4087d88caf25b5bebcc147438165b65f267fcc690a9acefd137b52ba8ef3394d7359de5494210c9
Homepage: https://cran.r-project.org/package=analyzer
Description: CRAN Package 'analyzer' (Data Analysis and Automated R Notebook Generation)
 Easy data analysis and quality checks which are commonly used in data
 science. It combines the tabular and graphical visualization for easier
 usability. This package also creates an R Notebook with detailed data
 exploration with one function call. The notebook can be made interactive.

Package: r-cran-ananke
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3756
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aion, r-cran-arkhe
Suggests: r-cran-folio, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-ananke_0.1.0-1.ca2004.1_all.deb
Size: 683200
MD5sum: c21f6f060a439a05f526750e24bfcf3f
SHA1: 2f88afaef5de4901ae10557a157b7c3d3cbfb28f
SHA256: f130caf0144ef6e42cf442b5d0ab4e32d4596a21a115ee5b049e4fc54ca624d9
SHA512: a67cd5c0976f5c179a75510eddfc6e5fc7e525c819bfc83cb384d81fba9c773440c14d4cc16827fd07f1b87bc900c475b6af8f9c893785b3f348918005d6d4ff
Homepage: https://cran.r-project.org/package=ananke
Description: CRAN Package 'ananke' (Quantitative Chronology in Archaeology)
 Simple radiocarbon calibration and chronological analysis.  This package
 allows the calibration of radiocarbon ages and modern carbon fraction values
 using multiple calibration curves. It allows the calculation of highest
 density region intervals and credible intervals. The package also provides
 tools for visualising results and estimating statistical summaries.

Package: r-cran-ananseseurat
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-patchwork, r-cran-png, r-cran-purrr, r-cran-rlang, r-cran-seurat, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-signac, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ananseseurat_1.2.0-1.ca2004.1_all.deb
Size: 379160
MD5sum: 1d825a6b7b3e957adf344bb40d556b64
SHA1: 83911a955c2c34366699ef90f61c49648bef9493
SHA256: c35b337a56f90d61923fc31de651988b2f3573244710701ccf6b2ebd61f289f7
SHA512: 78ffbfc1b3755fcc43e1b617555644065c4da8553511ce8199938fd1d599c197afc91bdb08dd2fbd3ca200e54d339fa898e7ad5fb431b688d48ad05db96157fd
Homepage: https://cran.r-project.org/package=AnanseSeurat
Description: CRAN Package 'AnanseSeurat' (Construct ANANSE GRN-Analysis Seurat)
 Enables gene regulatory network (GRN) analysis on single cell clusters,
 using the GRN analysis software 'ANANSE', Xu et al.(2021)
 <doi:10.1093/nar/gkab598>.  Export data from 'Seurat' objects, for GRN
 analysis by 'ANANSE' implemented in 'snakemake'. Finally, incorporate
 results for visualization and interpretation.

Package: r-cran-anapuce
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1338
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-anapuce_2.3-1.ca2004.1_all.deb
Size: 1304328
MD5sum: e252095826f01fe418087946d4d90fd9
SHA1: d6cec3a77c2c7b7f7c820fa7dbb35fb8a57e1610
SHA256: 258324d4c8532ce2d949c10254ce7f055988301a1007fab2127f414e4855b8fd
SHA512: 64ace4956196d170febf48cdd88a78c0aaa18efd2c61661fc8822b3c790a7aea3ae557e33a05e9c4aae97e1a92fc09af64606b5bec0a2621639d8d0483a55380
Homepage: https://cran.r-project.org/package=anapuce
Description: CRAN Package 'anapuce' (Tools for Microarray Data Analysis)
 Functions for normalisation, differentially analysis of microarray data and
 local False Discovery Rate.

Package: r-cran-ancestrymapper
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4474
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ancestrymapper_2.0-1.ca2004.1_all.deb
Size: 713964
MD5sum: 9b0f2a8862ccf20226fa4dff39827bf1
SHA1: 6dce251a14c06d9efd9c4fe7147c21b3cd071d38
SHA256: 9349f727a05e6c3ec014b28728e4d974a94968c94054b9b24515e5012f4b2253
SHA512: 766fa9058b9d4931c32e5f8d47039fa4632a2c5d4704c86db3f41bb8b009a19cfc2948ab6070d8ab1eb690aade80e0d0449ceaad68879100c88e6a0f897db120
Homepage: https://cran.r-project.org/package=AncestryMapper
Description: CRAN Package 'AncestryMapper' (Assigning Ancestry Based on Population References)
 Assigns genetic ancestry to an individual and studies relationships between
 local and global populations.

Package: r-cran-anchorregression
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-selectiveinference, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anchorregression_0.1.3-1.ca2004.1_all.deb
Size: 37096
MD5sum: 0645c4eea885145727ec41c424ffdfc2
SHA1: 1a6d13670c7c3f23c604126f8bb4c88ffdc559b6
SHA256: 19aebfc349b060c3ff41f7ebba9144f205b2b120614829d6e5cb763f17134a3e
SHA512: 0f71c96acf90c24ec0be886281f99dbdefe8aec69d4c6ab9fb3e88ffa94f4b4b8dd68e3fb0c9a2ded424fb53b7e86a89f8b297e16b10087e99b9b21a802f25fe
Homepage: https://cran.r-project.org/package=AnchorRegression
Description: CRAN Package 'AnchorRegression' (Perform AnchorRegression)
 Performs AnchorRegression proposed by Rothenhäusler et al. 2020.  The code
 is adapted from the original paper repository.
 (<https://github.com/rothenhaeusler/anchor-regression>) The code was
 developed independently from the authors of the paper.

Package: r-cran-and
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-mockery, r-cran-stringi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-and_0.1.6-1.ca2004.1_all.deb
Size: 1202336
MD5sum: 9b8c1c10b5ff16819a03f171c6af532c
SHA1: a3d690e63518ec028dd5beed6ff6fded69c1a4d8
SHA256: f6cd8b73e52e480dba39dd3bcee796006aab823a34a4d45108485f22e6b6e5e7
SHA512: 36d18c1c8fdb9a975bf14df23884e0c4147201eab770c9da279c188a71bcc43c7ea544b926ad9b025f722b68d5116c6e0b09c1da36e4165ee3f5737d0f2132e3
Homepage: https://cran.r-project.org/package=and
Description: CRAN Package 'and' (Construct Natural-Language Lists with Internationalization)
 Construct language-aware lists. Make "and"-separated and "or"-separated
 lists that automatically conform to the user's language settings.

Package: r-cran-andrews
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3097
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gmp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-robustbase, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-andrews_1.1.2-1.ca2004.1_all.deb
Size: 2051680
MD5sum: ed16420bb9a4e41d3db4dcc811b1cf67
SHA1: bac9517bdff39d906b0566ff7c2d3f4f79ae90ae
SHA256: 062b4cb6b1c72f9b4f8881c4aa2d4f243c13b715c72d8c21a17f2ecebd635202
SHA512: 8ef5b33c3ac4d450cab2f2c5036f1f8c21ff52c7625fb4f5bfc60fda5581ef2b574dbd60e0a7862f9e1ec89c5273addf6487361c74f3c992aa7e8e5aa5d9fed9
Homepage: https://cran.r-project.org/package=andrews
Description: CRAN Package 'andrews' (Various Andrews Curves)
 Visualisation of multidimensional data through different Andrews curves:
 Andrews, D. F. (1972) Plots of High-Dimensional Data. Biometrics, 28(1),
 125-136. <doi:10.2307/2528964>.

Package: r-cran-andromeda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-dbi, r-cran-zip, r-cran-dbplyr, r-cran-tidyselect, r-cran-cli, r-cran-rlang, r-cran-pillar, r-cran-duckdb
Suggests: r-cran-testthat, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-rjava, r-cran-rcmdcheck
Filename: pool/dists/focal/main/r-cran-andromeda_1.0.0-1.ca2004.1_all.deb
Size: 401372
MD5sum: 64c0b30832697494c61b4e423bb2e923
SHA1: ad65cdf98dca97731abfddcdbbedfc44e5974f1c
SHA256: 25d3d897fa0bb72c53184e436376d9d43b86ed1bc28430e409f541c7b80d8435
SHA512: f09dcc0250dcf376e44bb2db4a41eced1296a53439d5861a320d0809aed7b1a1e92c350fbae4b8f797dc4dd26acfed3b5d0bfc82e92eb811fcf0e17919f7f85b
Homepage: https://cran.r-project.org/package=Andromeda
Description: CRAN Package 'Andromeda' (Asynchronous Disk-Based Representation of Massive Data)
 Storing very large data objects on a local drive, while still making it
 possible to manipulate the data in an efficient manner.

Package: r-cran-andurinha
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal, r-cran-tidyr, r-cran-ggplot2, r-cran-cowplot, r-cran-rlang, r-cran-plyr
Suggests: r-cran-extrafont, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-andurinha_0.0.2-1.ca2004.1_all.deb
Size: 2280704
MD5sum: 909efc6bb6020d9497e128e7b465bb8b
SHA1: 5c3e23fffb9768db3523a156c9606485bc26befb
SHA256: ea8d7067c5d483480e3a54c61bedb479ed9e8490067a364241ad8adc48fb2672
SHA512: 654d92955f4aca2e81e72d4b38fa6b2facf94f44a637c8420c8379adae5e72785d9161957345ecf820fe0ef8f3f07bb0004c2ca7ffe8e3a4db7df8c76e9515c9
Homepage: https://cran.r-project.org/package=andurinha
Description: CRAN Package 'andurinha' (Make Spectroscopic Data Processing Easier)
 The goal of 'andurinha' is provide a fast and friendly way to process
 spectroscopic data. It is intended for processing several spectra of samples
 with similar composition (tens to hundreds of spectra). It compiles
 spectroscopy data files, produces standardized and second derivative
 spectra, finds peaks and allows to select the most significant ones based on
 the second derivative/absorbance sum spectrum. It also provides functions
 for graphic evaluation of the outputs.

Package: r-cran-anesrake
Architecture: all
Version: 0.80-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-weights
Filename: pool/dists/focal/main/r-cran-anesrake_0.80-1.ca2004.1_all.deb
Size: 73052
MD5sum: c736641b9ecd9b3277b315e8cf5e0aeb
SHA1: 1c4fcfbe9cd7371502f860de1abe7bdbc9869468
SHA256: ac0b09fcd272dac1fd0ddbd7f08af514a32952b007fa2a193342a008eeed0c00
SHA512: 8d150c242145fd2c12637f961c82bf365e35c609a4c9b372e9dc3f870fa73f0b5d198192abd78235c5a88dd01f9fa0359651fdf88e68a622b5860e2326fb33df
Homepage: https://cran.r-project.org/package=anesrake
Description: CRAN Package 'anesrake' (ANES Raking Implementation)
 Provides a comprehensive system for selecting variables and weighting data
 to match the specifications of the American National Election Studies. The
 package includes methods for identifying discrepant variables, raking data,
 and assessing the effects of the raking algorithm. It also allows automated
 re-raking if target variables fall outside identified bounds and allows
 greater user specification than other available raking algorithms. A variety
 of simple weighted statistics that were previously in this package (version
 .55 and earlier) have been moved to the package 'weights.'

Package: r-cran-anglercreelsurveysimulation
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anglercreelsurveysimulation_1.0.3-1.ca2004.1_all.deb
Size: 159200
MD5sum: 46c8a7ae2cd9a46a1c42ea45105d8884
SHA1: 3e3281d9ad3c1007844f3ddff1f1490d607ad01a
SHA256: 98ae9c1f6e7c4dfe6b73438d1b85dfea172971af3d3c2a81dc4b3c316092c08a
SHA512: 12db5eac3fa76fec115270d813807704c6d8b02f3b400f41acabb91a3ac93571bd727bba2a818550712340475bc273b7752d70f99b88d6b6055aa3a2a05bff9b
Homepage: https://cran.r-project.org/package=AnglerCreelSurveySimulation
Description: CRAN Package 'AnglerCreelSurveySimulation' (Simulate a Bus Route Creel Survey of Anglers)
 Simulate an angler population, sample the simulated population with a
 user-specified survey times, and calculate metrics from a bus route-type
 creel survey.

Package: r-cran-angstromate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-angstromate_0.1.3-1.ca2004.1_all.deb
Size: 86420
MD5sum: 2ec5a2662f89227447f42a3880866873
SHA1: 648c883a323d181498ec9f92edab5197db3e7756
SHA256: 37e20d0524cd6cec3aa18b1c810424be7003e7272133a8190cde2251b2925bda
SHA512: a674990cf4fba03bbde947af8b960e29c1eb345a537713153c4f6860acabe92a1818fe758fe71edf058dd4e545992b5aaa1b5b7d438a94dc766160c9b9739cf2
Homepage: https://cran.r-project.org/package=angstromATE
Description: CRAN Package 'angstromATE' (Imports Log Files from Angstrom Engineering Thermal Evaporator)
 Opens and imports log files from Angstrom Engineering Thermal Evaporator and
 extracts basic characteristics, such as base pressure, time of the
 evaporation.  It can visualize the deposition observables for review.

Package: r-cran-angstroms
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-nabor, r-cran-ncdf4, r-cran-proj4, r-cran-sp, r-cran-spbabel
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-angstroms_0.0.1-1.ca2004.1_all.deb
Size: 1262832
MD5sum: da8c23f1e8dd6bac3b1051086a01359d
SHA1: dd402ce0ec64dcfedf879a4e0586bdf2d72a1f7b
SHA256: 8139f163bdd73db46f97b963b3f4356ff7d049677a42941e65e91d7dcdf4a1f9
SHA512: 9a3421635803372f76355c8f45551ad3a311aeba4ad2c4e567e747e7e0797f60f5b2dde90decbf56d9691e795fa60b4c98c1a9f14eb67932f64a4f8ccc8b9777
Homepage: https://cran.r-project.org/package=angstroms
Description: CRAN Package 'angstroms' (Tools for 'ROMS' the Regional Ocean Modeling System)
 Helper functions for working with Regional Ocean Modeling System 'ROMS'
 output. See <https://www.myroms.org/> for more information about 'ROMS'.

Package: r-cran-anidom
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rptr
Filename: pool/dists/focal/main/r-cran-anidom_0.1.5-1.ca2004.1_all.deb
Size: 57032
MD5sum: 5776fef52ec291a6f6fff7676db39b47
SHA1: f204149114d42191ca5b82afaec846fdac173a77
SHA256: 2defeaed7bf7e0b6654ef9baf86ddcd85a68ff34529335fe8dacce1ed9e8288e
SHA512: c87d3b2f3e2b3aea8f19477f37c456aec9803232c58429510dec923d872cea2026480afc7c18cc5286b71e696040195d0d4308d03c41dd9a19029c994eedf0fb
Homepage: https://cran.r-project.org/package=aniDom
Description: CRAN Package 'aniDom' (Inferring Dominance Hierarchies and Estimating Uncertainty)
 Provides: (1) Tools to infer dominance hierarchies based on calculating Elo
 scores, but with custom functions to improve estimates in animals with
 relatively stable dominance ranks. (2) Tools to plot the shape of the
 dominance hierarchy and estimate the uncertainty of a given data set.

Package: r-cran-anim.plots
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1084
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-animation
Suggests: r-cran-maps, r-cran-knitr, r-cran-mapdata, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-anim.plots_0.2.3-1.ca2004.1_all.deb
Size: 621044
MD5sum: 21da1b08aaaeda4e9243612750b6faad
SHA1: f4c928b9871e1749a3a233222eeba9b9b9fc3d72
SHA256: 065b02bea12de2170d60bf9c5dc30c347d717e1dc0164beabd28fc2114e6af47
SHA512: 4ae9cd8a6a52a3fb9cf8bc9f4a521ac5a7b3bf5c825e58a398ad8b3c12c9194f461f6164c1c99499e2fef4be1b501998f4b6b7d60481d2f90dd3f43e7ca18b7d
Homepage: https://cran.r-project.org/package=anim.plots
Description: CRAN Package 'anim.plots' (Simple Animated Plots for R)
 Simple animated versions of basic R plots, using the 'animation' package.
 Includes animated versions of plot, barplot, persp, contour, filled.contour,
 hist, curve, points, lines, text, symbols, segments, and arrows.

Package: r-cran-animalekf
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3135
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-sp, r-cran-sf, r-cran-mcmcpack, r-cran-ellipse, r-cran-mvtnorm, r-cran-deldir, r-cran-colorspace, r-cran-matrix, r-cran-mass, r-cran-png, r-cran-bezier, r-cran-hdinterval, r-cran-plyr, r-cran-ggplot2, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-animalekf_1.2-1.ca2004.1_all.deb
Size: 3159824
MD5sum: 6b643e62c3ba4351d64189cdc1184cd4
SHA1: be67e0eeb583fcb10be3febc6b1ff696a52d2d2e
SHA256: e08408319f40591347d6ae7143d90d7c889f20ae8f368b31775ed9b5235c144c
SHA512: 8d2584d1afd384ae43769486e17921542842c1293298be9ad452031f0f18fe4a2f479a3b24bea0d61fff893ab87328968a113833f23e63499034d46ff6085dbc
Homepage: https://cran.r-project.org/package=animalEKF
Description: CRAN Package 'animalEKF' (Extended Kalman Filters for Animal Movement)
 Synthetic generation of 1-D and 2-D correlated random walks (CRWs) for
 animal movement with behavioral switching, and particle filter estimation of
 movement parameters from observed trajectories using Extended Kalman Filter
 (EKF) model. See Ackerman (2018)
 <https://digital.library.temple.edu/digital/collection/p245801coll10/id/499150>.

Package: r-cran-animalhabitatnetwork
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-animalhabitatnetwork_0.1.0-1.ca2004.1_all.deb
Size: 36932
MD5sum: 52b165cd505bf8b2af84cde09b9fc0bd
SHA1: 0c407b7d218aa320cdb46a344f769cbefa09bc91
SHA256: fa7ed379e9a811f6de770022b638389d5766bbe2b2b6dc013720a8b2d03b3248
SHA512: 700d89095c5873e2e5299982c73b5205b59e794b49156f460de1178c5c828359913685271a5877b378de98ab1afadf2388add49f0fd933070c29add24fee0806
Homepage: https://cran.r-project.org/package=AnimalHabitatNetwork
Description: CRAN Package 'AnimalHabitatNetwork' (Networks Characterising the Physical Configurations of AnimalHabitats)
 Functions for generating and visualising networks for characterising the
 physical attributes and spatial organisations of habitat components (i.e.
 habitat physical configurations). The network generating algorithm first
 determines the X and Y coordinates of N nodes within a rectangle with a side
 length of L and an area of A. Then it computes the pair-wise Euclidean
 distance Dij between node i and j, and then a complete network with 1/Dij as
 link weights is constructed. Then, the algorithm removes links from the
 complete network with the probability as shown in the function ahn_prob().
 Such link removals can make the network disconnected whereas a connected
 network is wanted. In such cases, the algorithm rewires one network
 component to its spatially nearest neighbouring component and repeat doing
 this until the network is connected again. Finally, it outputs an undirected
 network (weighted or unweighted, connected or disconnected). This package
 came with a manuscript on modelling the physical configurations of animal
 habitats using networks (in preparation).

Package: r-cran-animaltrack
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-animaltrack_1.0.0-1.ca2004.1_all.deb
Size: 932064
MD5sum: ae8de7e05f99146c7166d9d584a662c6
SHA1: e2eeee4200d1fdc24108a276d7b06528af186a87
SHA256: 143253955c086dd92e7ce7c3b116ab263a9ca2e8f25c1f88d5be5e49bae56f68
SHA512: 42c004b3731f46435e74d7427f31f3fe419502d8ae474c4676ccbb55b46234310ffe3a76f2a525a8fdd22473286ab8f00c5ce5855471939286e3d96f9743e45a
Homepage: https://cran.r-project.org/package=animalTrack
Description: CRAN Package 'animalTrack' (Animal track reconstruction for high frequency 2-dimensional(2D) or 3-dimensional (3D) movement data)
 2D and 3D animal tracking data can be used to reconstruct tracks through
 time/space with correction based on known positions. 3D visualization of
 animal position and attitude.

Package: r-cran-animaltracker
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2773
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-maptools, r-cran-zoo, r-cran-lubridate, r-cran-tibble, r-cran-shinyjs, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinythemes, r-cran-leaflet, r-cran-leaflet.extras, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-tidyr, r-cran-sp, r-cran-rgdal, r-cran-geosphere
Filename: pool/dists/focal/main/r-cran-animaltracker_0.2.0-1.ca2004.1_all.deb
Size: 1513864
MD5sum: 1cd66ae0650a877214f6d0856e81ad8b
SHA1: 50455b62f55e73064bd53c32d32411a9dfe7a325
SHA256: 81eda90a62823aaec135ada7ea8e6884f0ac5abd48a285495aa1db89734d4fa1
SHA512: 902c986ebbdec33018677f804990f4fd5c1bbcf8ef3cf010508c43ec673bf5b3d08378d5eea7afa78ad559ea639d9019436195f95c7b6eac4e8002dfe9ec93e7
Homepage: https://cran.r-project.org/package=animaltracker
Description: CRAN Package 'animaltracker' (Animal Tracker)
 Utilities for spatial-temporal analysis and visualization of animal (e.g.
 cattle) tracking data. The core feature is a 'shiny' web application for
 customized processing of GPS logs, including features for data augmentation
 (e.g. elevation lookup), data selection, export, plotting, and statistical
 summaries. A data validation application allows for side-by-side comparison
 via time series plots and extreme value detection described by J.P. van
 Brakel
 <https://stackoverflow.com/questions/22583391/peak-signal-detection-in-realtime-timeseries-data/>.

Package: r-cran-animate
Architecture: all
Version: 0.3.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2744
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-httpuv, r-cran-base64enc, r-cran-jsonlite, r-cran-glue, r-cran-r.utils
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-shiny, r-cran-htmltools, r-cran-pryr, r-cran-v8, r-cran-servr
Filename: pool/dists/focal/main/r-cran-animate_0.3.9.4-1.ca2004.1_all.deb
Size: 750568
MD5sum: 21c3b1e119d730314cd246c949b568c5
SHA1: 67c4634bc13d98f14fbe65f5391aa259f4f57e44
SHA256: e84b6516825234d3d76d5eedb10979d2774b8e3c22d7fbe2726952dc88e6fe7d
SHA512: 1b3f4adf9bd9d6cb029822c2f756959b1ac6d01e23308ad26c27f0481de216c63db9d094791cc8da8c9197ed03051fe4f5369ec858a95df075990a0d7ebbf373
Homepage: https://cran.r-project.org/package=animate
Description: CRAN Package 'animate' (A Web-Based Graphics Device for Animated Visualisations)
 Implements a web-based graphics device for animated visualisations.
 Modelled on the 'base' syntax, it extends the 'base' graphics functions to
 support frame-by-frame animation and keyframes animation.  The target use
 cases are real-time animated visualisations, including agent-based models,
 dynamical systems, and animated diagrams.  The generated visualisations can
 be deployed as GIF images / MP4 videos, as 'Shiny' apps (with interactivity)
 or as HTML documents through embedding into R Markdown documents.

Package: r-cran-animation
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 870
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magick
Suggests: r-cran-mass, r-cran-class, r-cran-testit
Filename: pool/dists/focal/main/r-cran-animation_2.7-1.ca2004.1_all.deb
Size: 523368
MD5sum: 0352b1a0d6702eeb2a6810f52b75425a
SHA1: 577487971e968c031c3433c4e56e51736bdfb82d
SHA256: 1aa6657839d909b12d317a6ebdef71e2f43fa33bd9c0a0befa8e7b36e184ff36
SHA512: d39538c76da5fc07f943871bce8f640be91194cbdeb8b0ee64af3d1c588dfa9540ecde3e922e52060f3a258b97a78a5b7695a49bb17c8111301559468213ed85
Homepage: https://cran.r-project.org/package=animation
Description: CRAN Package 'animation' (A Gallery of Animations in Statistics and Utilities to CreateAnimations)
 Provides functions for animations in statistics, covering topics in
 probability theory, mathematical statistics, multivariate statistics,
 non-parametric statistics, sampling survey, linear models, time series,
 computational statistics, data mining and machine learning. These functions
 may be helpful in teaching statistics and data analysis. Also provided in
 this package are a series of functions to save animations to various
 formats, e.g.  Flash, 'GIF', HTML pages, 'PDF' and videos. 'PDF' animations
 can be inserted into 'Sweave' / 'knitr' easily.

Package: r-cran-animbook
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-gganimate, r-cran-ggplot2, r-cran-plotly, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-animbook_1.0.0-1.ca2004.1_all.deb
Size: 411644
MD5sum: 91a47ffc492da7dcf42f54e3d7fb284e
SHA1: 5ed912cbe3bcfe0e4de3bc5e8858d82f7cae1429
SHA256: f21f2aa5c3954b62081188c935a5b4044f6b28dd8d96b1807644457b259ab2e3
SHA512: 47ac67f56723099b4de54b3d3fc08e1b94f8f4fd35513f090edb6ed0963cd095856e81d25aa0793e702db6d25e6525d973a192963a9ce5533c38be4a70a3f335
Homepage: https://cran.r-project.org/package=animbook
Description: CRAN Package 'animbook' (Visualizing Changes in Performance Measures and DemographicAffiliations using Animation)
 Create an interactive visualization to be used for communication purposes.
 Providing the function for preparing, plotting, and animating the data.

Package: r-cran-animint2
Architecture: all
Version: 2025.1.28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4901
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-servr, r-cran-digest, r-cran-rjsonio, r-cran-gtable, r-cran-mass, r-cran-plyr, r-cran-reshape2, r-cran-scales, r-cran-knitr, r-cran-data.table
Suggests: r-cran-gert, r-cran-gitcreds, r-cran-gh, r-cran-sp, r-cran-gistr, r-cran-shiny, r-cran-rcolorbrewer, r-cran-htmltools, r-cran-rmarkdown, r-cran-testthat, r-cran-xml, r-cran-devtools, r-cran-httr, r-cran-maps, r-cran-ggplot2movies, r-cran-hexbin, r-cran-hmisc, r-cran-lattice, r-cran-mapproj, r-cran-mgcv, r-cran-nlme, r-cran-rpart, r-cran-svglite, r-cran-ggplot2, r-cran-chromote, r-cran-magick
Filename: pool/dists/focal/main/r-cran-animint2_2025.1.28-1.ca2004.1_all.deb
Size: 4245132
MD5sum: 81744514fc00ac0ee86f06738c24ea5e
SHA1: a2e69a3d870eaed9c9c179a86a649a75b3611d69
SHA256: 4c04d554404edf9c387f585be9315dac9a0eff0f3195e8c170836b97e3f86c0a
SHA512: fead132d0cd5c26cafcde45671cab70c8acdb5f9d5372b1a0efe9ffa8e7ab08edfe5036378cb6cd321bd61e391a0960d2c3d32e34aeeea2f3479b760e61c6981
Homepage: https://cran.r-project.org/package=animint2
Description: CRAN Package 'animint2' (Animated Interactive Grammar of Graphics)
 Functions are provided for defining animated, interactive data
 visualizations in R code, and rendering on a web page. The 2018 Journal of
 Computational and Graphical Statistics paper,
 <doi:10.1080/10618600.2018.1513367> describes the concepts implemented.

Package: r-cran-animl
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply, r-cran-dplyr, r-cran-jpeg, r-cran-reticulate, r-cran-exifr, r-cran-av, r-cran-magrittr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-animl_2.0.0-1.ca2004.1_all.deb
Size: 86128
MD5sum: 656ea2aa99b10643497019c0a44f11b2
SHA1: 4b1f1cf6ac4379981cd44fa9cb127b039d69d9a6
SHA256: ad1b03ef49647aecc3e0fa3fd839481cade3fd8997ebfee194a2e98ba9e4bbbc
SHA512: 53ee98a0e2d5e7639b61e7256b5bd9a5e827997850138950bfbf372e8aafc09de880d33dfc779b25b53be9b21f4b45fc4d3af95ff99a04ef11036144c0fc80a1
Homepage: https://cran.r-project.org/package=animl
Description: CRAN Package 'animl' (A Collection of ML Tools for Conservation Research)
 Functions required to classify subjects within camera trap field data. The
 package can handle both images and videos. The authors recommend a two-step
 approach using Microsoft's 'MegaDector' model and then a second model
 trained on the classes of interest.

Package: r-cran-anipaths
Architecture: all
Version: 0.10.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1471
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-animation, r-cran-rcolorbrewer, r-cran-sf, r-cran-crawl, r-cran-mgcv, r-cran-ggmap, r-cran-dplyr, r-cran-ellipse, r-cran-ggplot2, r-cran-igraph, r-cran-lubridate, r-cran-magrittr, r-cran-mvtnorm, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anipaths_0.10.5-1.ca2004.1_all.deb
Size: 1026940
MD5sum: a323e138a093804725a309ba9b8fdc5d
SHA1: 8a198a50e510290d45b1480785c9f1fb7228b35f
SHA256: 0bc145a9aa63e75ab6c50a65af26cf378104924f33f4b74e9cf65e0dbdb07ed9
SHA512: cd865009016c72b91a5a4301ad9cd69bee0fbbd3d3769e9e4cff81df839e4956c09311f1a1617fac7663866ae2c3ea57addad73860ec6ecea6d3d176510e49cc
Homepage: https://cran.r-project.org/package=anipaths
Description: CRAN Package 'anipaths' (Animation of Multiple Trajectories with Uncertainty)
 Animation of observed trajectories using spline-based interpolation (see for
 example, Buderman, F. E., Hooten, M. B., Ivan, J. S. and Shenk, T. M.
 (2016), <doi:10.1111/2041-210X.12465> "A functional model for characterizing
 long-distance movement behaviour". Methods Ecol Evol). Intended to be used
 exploratory data analysis, and perhaps for preparation of presentations.

Package: r-cran-aniview
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-htmltools
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-aniview_0.1.0-1.ca2004.1_all.deb
Size: 87492
MD5sum: 6c27a79ff8a13ad9cabf866dd7a774bc
SHA1: 97c2668a7ba50e5de7406703e5abd63b4db46ca3
SHA256: cce9f6eb30ffb57c106c18c41ef949bbe606d5a44d1f63873345faa53762242d
SHA512: a3247f2ed4262e3ffbfc75879afe1962112563d56c4b63464c4d8059d1b2fa4c83dd53be90185536362129fdc1680c2e2b82e9ebe42ca180ee7b8730d9544fc3
Homepage: https://cran.r-project.org/package=aniview
Description: CRAN Package 'aniview' (Animate Shiny and R Markdown Content when it Comes into View)
 Animate Shiny and R Markdown content when it comes into view using
 'animate-css' effects thanks to 'jQuery AniView'.

Package: r-cran-anndata
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-lifecycle, r-cran-matrix, r-cran-r6, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-anndata_0.8.0-1.ca2004.1_all.deb
Size: 221976
MD5sum: ac0bc3a6bd56a3f2e8dcc65bd66a484b
SHA1: 2f8d1e7e0cc060117abe0dddb446f5038d5c684e
SHA256: e08dffeae2f4d721e5f01977437ae3497dff261c73a817a4ebb5f4465f9ee95f
SHA512: 671470747d43d6cc20d589c926b27287eccac07b19a616155b6472feca8efd559c5fc65fc6d4872d3199c435ea35dd336bcd89fbc16cf435232736dd91a7f529
Homepage: https://cran.r-project.org/package=anndata
Description: CRAN Package 'anndata' ('anndata' for R)
 A 'reticulate' wrapper for the Python package 'anndata'.  Provides a
 scalable way of keeping track of data and learned annotations.  Used to read
 from and write to the h5ad file format.

Package: r-cran-annmatrix
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-annmatrix_0.1.2-1.ca2004.1_all.deb
Size: 66072
MD5sum: 2163bb8c16338210125239a90bbfe77d
SHA1: 81e8b1ebfb830096a5111d1500e9f24b9a5629ab
SHA256: ae067d5810d9efadd6d111e090bf9d4f8b95a48b41e9674d6b477d4e14d5e5f2
SHA512: cece73109546b4ea5d76d7bb5e08dff0997c711c782bef58e3ea6f65d0a969dcbe875ce2451b95436576b2e01d4decfc36264d0203d75aa7db6409cd1fa41500
Homepage: https://cran.r-project.org/package=annmatrix
Description: CRAN Package 'annmatrix' (Annotated Matrix: Matrices with Persistent Row and ColumnAnnotations)
 Implements persistent row and column annotations for R matrices. The
 annotations associated with rows and columns are preserved after subsetting,
 transposition, and various other matrix-specific operations. Intended use
 case is for storing and manipulating genomic datasets which typically
 consist of a matrix of measurements (like gene expression values) as well as
 annotations about rows (i.e. genomic locations) and annotations about
 columns (i.e. meta-data about collected samples). But 'annmatrix' objects
 are also expected to be useful in various other contexts.

Package: r-cran-annoprobe
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2044
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dt, r-cran-ggpubr, r-cran-pheatmap, r-bioc-biobase, r-cran-xml2, r-cran-httr, r-cran-curl
Suggests: r-bioc-limma, r-bioc-geoquery, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-annoprobe_0.1.7-1.ca2004.1_all.deb
Size: 2057420
MD5sum: c59318b57def23debe84d1ce4a723f7d
SHA1: 83bacd65867e90f3acac0b5852db11e84a5ffb30
SHA256: 68f3b355b5c4c42a41e275df034088f21edda6406b0a6c1f7c039a6bebdf8b06
SHA512: 07ae44eda2f1e1ecffab2e0aa029fd2c44941ca04d7a03d50cf1ec20d323bfb0fb050a7c63cbc3703afcd64c64a3b635eae14c6a4601712e539303263a17de16
Homepage: https://cran.r-project.org/package=AnnoProbe
Description: CRAN Package 'AnnoProbe' (Annotate the Gene Symbols for Probes in Expression Array)
 We curated 147 of expression array, from 3 species(human,mouse,rat), 3
 companies('Affymetrix','Illumina','Agilent'), by aligning the 'Fasta'
 sequences of all probes of each platform to their corresponding reference
 genome, and then annotate them to genes.

Package: r-cran-annotater
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1160
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-stringi, r-cran-readr, r-cran-rstudioapi, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-annotater_0.2.3-1.ca2004.1_all.deb
Size: 1068748
MD5sum: 647f4fa70dfff23fe5078d09326c599e
SHA1: ea4c3f7fe51d285436edc463fc1f858a3ffd21ab
SHA256: 68dd3c6a1c426c560b02e9c9e897f01fd9cb01bab2632ec341cdbbb10d37aa21
SHA512: 4a581d30777d5c290e7cdcfc36468d7d920aff321e526fd1578014b84b587ef7c61caa8b384b2a2d94d5dee71edd2568f98ec2044504b83271e8b1781b759219
Homepage: https://cran.r-project.org/package=annotater
Description: CRAN Package 'annotater' (Annotate Package Load Calls)
 Provides non-invasive annotation of package load calls such as
 \code{library()}, \code{p_load()}, and \code{require()} so that we can have
 an idea of what the packages we are loading are meant for.

Package: r-cran-annotationbustr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1492
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-annotationbustr_1.3.0-1.ca2004.1_all.deb
Size: 695632
MD5sum: 5f7900ef9e4d8aeb6e8708e27ca6d479
SHA1: ffdc001cf34271ca515f137c202b7a8a9d5aa4d9
SHA256: 8bf7781d795330f99630c4beb6482a0a155cacc16bc1cba0a52ee64bd1c65c52
SHA512: 4053a120b2be82b87aedd10c3762113a7be3da211fd07023b85dacd41e4df3cf395bcd379582e759ea1ded49849cba8ccd0a35bcd1bfb2b2bbcbc8e2ab6892b2
Homepage: https://cran.r-project.org/package=AnnotationBustR
Description: CRAN Package 'AnnotationBustR' (Extract Subsequences from GenBank Annotations)
 Extraction of subsequences into FASTA files from GenBank annotations where
 gene names may vary among accessions. Borstein & O'Meara (2018)
 <doi:10.7717/peerj.5179>.

Package: r-cran-annotator
Architecture: all
Version: 0.0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1816
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-htmlwidgets, r-cran-xfun
Suggests: r-cran-testthat, r-cran-stringr, r-cran-glue, r-cran-bslib, r-cran-sf, r-cran-terra, r-cran-keys, r-cran-colourpicker, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-annotator_0.0.3.1-1.ca2004.1_all.deb
Size: 1480076
MD5sum: 6a7f5009aba9dbba3070ace60c3d7e24
SHA1: ea68e1dabfb8194f88c01b81611729981ffe1937
SHA256: 493f8ae8ff984c02ddfa0f4b58629164142ddc3b9460f630596d49eb03eb737c
SHA512: df56101fa7c43949a9808d245e27b808a9f28bf31ffb8c8be26b863aaf11a5a05e05b4fe7821d69d86b9df6c80ffe6a63a13496dac616222d015b2dfad7d1727
Homepage: https://cran.r-project.org/package=annotator
Description: CRAN Package 'annotator' (Image Annotation and Polygon Outlining using Free Drawing)
 Provides functions to create image annotations through polygon outlining.
 Annotator has the same function as 'graphics::locator()' but achieves its
 purpose through drawing, rather than multiple mouse clicks. It is based on
 the 'htmlwidgets' package and 'fabric.js' JavaScript library
 <http://fabricjs.com/>.

Package: r-cran-annuityrir
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mc2d, r-cran-tseries, r-cran-envstats, r-cran-fitdistrplus, r-cran-actuar
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-annuityrir_1.0-0-1.ca2004.1_all.deb
Size: 172188
MD5sum: 906bddcd0d2ffc0876c06ebb43398788
SHA1: 5a352b96d347c2aa5bad83a20a3b3136e09c595f
SHA256: 9057f749ee8ec5f18802b2edc7a238fce8cb12d54b46d5f8056b4a78d6bba101
SHA512: 3bd4f52a00b2d17f9b0ed1b64eba9dc46e1e13891f99299fddf32dd95ccfa405dbde0cf3220f90d13e01f18058c852bc071554b1a52bb9300e6da5236f032c2a
Homepage: https://cran.r-project.org/package=AnnuityRIR
Description: CRAN Package 'AnnuityRIR' (Annuity Random Interest Rates)
 Annuity Random Interest Rates proposes different techniques for the
 approximation of the present and final value of a unitary annuity-due or
 annuity-immediate considering interest rate as a random variable. Cruz
 Rambaud et al. (2017) <doi:10.1007/978-3-319-54819-7_16>. Cruz Rambaud et
 al. (2015) <doi:10.23755/rm.v28i1.25>.

Package: r-cran-anocva
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Suggests: r-cran-mass, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-anocva_0.1.1-1.ca2004.1_all.deb
Size: 39660
MD5sum: f2def830ed8291cf7013c75a9ae124b6
SHA1: d3b7b18ce6af46bc82640203852dafc746652803
SHA256: 1ee18da96684dabe390333bd8e61cbf28178ba43ec88241bd461b3ca71adf4da
SHA512: 6311f2563b02dd74456a0b3609d803a9097bdcbfbe58b9a73930f2baa8c87edd8caabd9408f6884ab40b0e75ea73719317b4f344fd59926071595d4856ffdabe
Homepage: https://cran.r-project.org/package=anocva
Description: CRAN Package 'anocva' (A Non-Parametric Statistical Test to Compare ClusteringStructures)
 Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric
 statistical test to compare clustering structures with applications in
 functional magnetic resonance imaging data (fMRI). The ANOCVA allows us to
 compare the clustering structure of multiple groups simultaneously and also
 to identify features that contribute to the differential clustering.

Package: r-cran-anofa
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rrapply, r-cran-superb, r-cran-rdpack, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-anofa_0.1.3-1.ca2004.1_all.deb
Size: 179484
MD5sum: dcfb7ad05b9ca3f42f63508546246871
SHA1: a2f68a86c1e9f65e033d80c06bc6396da6fc9292
SHA256: e1b83033ca4847027bacf8c1aabcdae8451572149cccda30ec41f763aa175e10
SHA512: 043cf20af3ff02beb4146ba28bf852abbe141bd50a3f8b4d5121ef8891a7dfc03fc12ce8b16fdd7ddb62c274e655500522a87eb7eb186a6df942d10e928c34f8
Homepage: https://cran.r-project.org/package=ANOFA
Description: CRAN Package 'ANOFA' (Analyses of Frequency Data)
 Analyses of frequencies can be performed using an alternative test based on
 the G statistic. The test has similar type-I error rates and power as the
 chi-square test. However, it is based on a total statistic that can be
 decomposed in an additive fashion into interaction effects, main effects,
 simple effects, contrast effects, etc., mimicking precisely the logic of
 ANOVA. We call this set of tools 'ANOFA' (Analysis of Frequency data) to
 highlight its similarities with ANOVA. This framework also renders plots of
 frequencies along with confidence intervals. Finally, effect sizes and
 planning statistical power are easily done under this framework. The ANOFA
 is a tool that assesses the significance of effects instead of the
 significance of parameters; as such, it is more intuitive to most
 researchers than alternative approaches based on generalized linear models.
 See Laurencelle and Cousineau (2023) <doi:10.20982/tqmp.19.2.p173>.

Package: r-cran-anoint
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-anoint_1.5-1.ca2004.1_all.deb
Size: 260044
MD5sum: 3d4f7e26d042e196eb5cf686613b0ca9
SHA1: ec9c42de08465dd44f889ec1d4d85f09fabe3f24
SHA256: a53018990bdd2cb3f6863ad0cc38b84a3ec968faa0acf7b7b510da295023ee5b
SHA512: 4521860c7aad00923f755494ee9a436793b79870043d60bf03eb8ccc24a528d3913f116722325ebc3ed92636a61910642f2c2d35d4304b3dec4f3740c93c2c38
Homepage: https://cran.r-project.org/package=anoint
Description: CRAN Package 'anoint' (Analysis of Interactions)
 The tools in this package are intended to help researchers assess multiple
 treatment-covariate interactions with data from a parallel-group randomized
 controlled clinical trial. The methods implemented in the package were
 proposed in Kovalchik, Varadhan and Weiss (2013) <doi: 10.1002/sim.5881>.

Package: r-cran-anom
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mcpan, r-cran-multcomp, r-cran-nparcomp, r-cran-simcomp
Suggests: r-cran-knitr, r-cran-lme4, r-cran-nlme, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-anom_0.5-1.ca2004.1_all.deb
Size: 250028
MD5sum: 857bf5235383355c605c8302d00c108d
SHA1: 710d29485e664236daf44c5be4603e2e3263704c
SHA256: 76f81ce142c9a0327472349118bf02271bf95c5703efecc2b0c7ce8915a132a6
SHA512: 4066c2aa0d64f35b346f72cfd7546a8d0c08864b5eb04ec3935b91e20215ae071a04f6ab336ec719ffef1126d6a981d8684624ed9e71c2809d4f2301ddd3800e
Homepage: https://cran.r-project.org/package=ANOM
Description: CRAN Package 'ANOM' (Analysis of Means)
 Analysis of means (ANOM) as used in technometrical computing. The package
 takes results from multiple comparisons with the grand mean (obtained with
 'multcomp', 'SimComp', 'nparcomp', or 'MCPAN') or corresponding simultaneous
 confidence intervals as input and produces ANOM decision charts that
 illustrate which group means deviate significantly from the grand mean.

Package: r-cran-anomalize
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3714
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-timetk, r-cran-sweep, r-cran-tibbletime, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-tidyverse, r-cran-tidyquant, r-cran-stringr, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-anomalize_0.3.0-1.ca2004.1_all.deb
Size: 3071676
MD5sum: ce1fa353225774eec581949746741129
SHA1: 48aeaf68f5b8cb358cad08e580e489b89a8e8431
SHA256: 9829bd0745d6212f90c4772e2586365a7a55d99f8d8de7a4fb8a1e5d8cc51857
SHA512: baefc32ec385c27078113186a78b1dd31b46ba11a2695fc71b0062e8bfdd3dbd008008d39949b33ddc534cbb4689a14b983e202da83fbb52940a269261422323
Homepage: https://cran.r-project.org/package=anomalize
Description: CRAN Package 'anomalize' (Tidy Anomaly Detection)
 The 'anomalize' package enables a "tidy" workflow for detecting anomalies in
 data.  The main functions are time_decompose(), anomalize(), and
 time_recompose().  When combined, it's quite simple to decompose time
 series, detect anomalies, and create bands separating the "normal" data from
 the anomalous data at scale (i.e. for multiple time series).  Time series
 decomposition is used to remove trend and seasonal components via the
 time_decompose() function and methods include seasonal decomposition of time
 series by Loess ("stl") and seasonal decomposition by piecewise medians
 ("twitter"). The anomalize() function implements two methods for anomaly
 detection of residuals including using an inner quartile range ("iqr") and
 generalized extreme studentized deviation ("gesd"). These methods are based
 on those used in the 'forecast' package and the Twitter 'AnomalyDetection'
 package.  Refer to the associated functions for specific references for
 these methods.

Package: r-cran-anomalyscore
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dtw, r-cran-class, r-cran-astsa, r-cran-transport, r-cran-marima, r-cran-tsa, r-cran-rann, r-cran-mass, r-cran-mvlsw
Filename: pool/dists/focal/main/r-cran-anomalyscore_0.1-1.ca2004.1_all.deb
Size: 123544
MD5sum: 7ae19f7b3c099d69c692f6833c7b9b24
SHA1: 89c4f1e4eff1c670ec9323b686955d61ddb23fd1
SHA256: 1ed5bc859a39f2fec2cd9eff5930fac35f39eba5883c58f581e324b03b8a5370
SHA512: 578ec5bef25878b93358b9ccb02c0ddb65fce58771043867dae7a077e1d729c353d967d3b6e133738110ddf2ca97ee617f0e45f849766bf5292d7a8a2a45c161
Homepage: https://cran.r-project.org/package=AnomalyScore
Description: CRAN Package 'AnomalyScore' (Anomaly Scoring for Multivariate Time Series)
 Compute an anomaly score for multivariate time series based on the k-nearest
 neighbors algorithm. Different computations of distances between time series
 are provided.

Package: r-cran-anomo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-markdown, r-cran-odr
Filename: pool/dists/focal/main/r-cran-anomo_1.0.0-1.ca2004.1_all.deb
Size: 54692
MD5sum: 99d7b02a27060609e68b5075d02393b0
SHA1: ee63eeea515c84073085e8e9c1aaccec5c3de5f0
SHA256: 73afefa098dd6c68c1bd9c3bc058cbdd0eeb93b0b016cfa923c169ddd29927df
SHA512: 279941720dbd00695ccc8f34a3661b6e2926316365a0417950c86754512728db84aeaa6a50b68a47fbdc4630e85dd2fef137c3bf76f3739c94666bbf1d147d1f
Homepage: https://cran.r-project.org/package=anomo
Description: CRAN Package 'anomo' (Analysis of Moderation, Statistical Power, and Optimal Designfor Studies Detecting Difference and Equivalence)
 Analysis of moderation (ANOMO) method conceptualizes the difference and
 equivalence tests as a moderation problem to test the difference and
 equivalence of two means (or two effects in two studies).

Package: r-cran-anopa
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-superb, r-cran-rdpack, r-cran-ggplot2, r-cran-scales, r-cran-rrapply, r-cran-plyr
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-anopa_0.1.3-1.ca2004.1_all.deb
Size: 230544
MD5sum: 731635981c6fd391ddbb6261511926b7
SHA1: 2df1a836354c36564af13642bc274747e13e1a5d
SHA256: cb7f2bcf00083b5a019edd376ff82f28e41f2c2edd6742ac40f54325183a5d45
SHA512: f6538740150f0d5110d21999322cd76e20075b5d470aa5244e92f1d53b7dff2e90d0cf748f2559756fba5559b4816c61074aa0b6ec9262d1e22955d9afb64c9b
Homepage: https://cran.r-project.org/package=ANOPA
Description: CRAN Package 'ANOPA' (Analyses of Proportions using Anscombe Transform)
 Analyses of Proportions can be performed on the Anscombe (arcsine-related)
 transformed data. The 'ANOPA' package can analyze proportions obtained from
 up to four factors. The factors can be within-subject or between-subject or
 a mix of within- and between-subject. The main, omnibus analysis can be
 followed by additive decompositions into interaction effects, main effects,
 simple effects, contrast effects, etc., mimicking precisely the logic of
 ANOVA. For that reason, we call this set of tools 'ANOPA' (Analysis of
 Proportion using Anscombe transform) to highlight its similarities with
 ANOVA.  The 'ANOPA' framework also allows plots of proportions easy to
 obtain along with confidence intervals. Finally, effect sizes and planning
 statistical power are easily done under this framework. Only particularity,
 the 'ANOPA' computes F statistics which have an infinite degree of freedom
 on the denominator.  See Laurencelle and Cousineau (2023)
 <doi:10.3389/fpsyg.2022.1045436>.

Package: r-cran-anovaireva
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-car, r-cran-ggplot2, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-anovaireva_0.1.0-1.ca2004.1_all.deb
Size: 87824
MD5sum: 3d127134a212e5f61a4574a09b1794e0
SHA1: 6150530b1529cf3dfeba478fd203ce31f552ff7c
SHA256: a623335a66228957ea8a190b907ac878ee428a6a2bf692bceb0357a314460579
SHA512: 83c6e9ef47108c5333c0d4d877fbe5a9868836cc0ece92c27fcd2b55101f38df2cc975d1b22d78ac0a2fd887570fdf863e95c6081d54ffcc58205a240f0aefb2
Homepage: https://cran.r-project.org/package=ANOVAIREVA
Description: CRAN Package 'ANOVAIREVA' (Interactive Document for Working with Analysis of Variance)
 An interactive document on the topic of one-way and two-way analysis of
 variance using 'rmarkdown' and 'shiny' packages. Runtime examples are
 provided in the package function as well as at
 <https://tinyurl.com/ANOVAStatsTool>.

Package: r-cran-anovareplication
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anovareplication_1.1.5-1.ca2004.1_all.deb
Size: 690328
MD5sum: 2a6296fa8fd783a3b3556d27189cf07b
SHA1: d3143c724cebe37df395c666cad8c1051b45f4a8
SHA256: 158af4685a0c845e487c940558358e3adcdc49208a38aae75d3392919b40c654
SHA512: e7d35cf9365f94812e85ec494f1f480b406fcf7c4cdd67e43f029f9e51f27625fb0522b6f97a9cb9089d2061914bee7a3e0e453929e334ae51cd5bf3f46dea2c
Homepage: https://cran.r-project.org/package=ANOVAreplication
Description: CRAN Package 'ANOVAreplication' (Test ANOVA Replications by Means of the Prior Predictive p-Value)
 Allows for the computation of a prior predictive p-value to test replication
 of relevant features of original ANOVA studies. Relevant features are
 captured in informative hypotheses. The package also allows for the
 computation of sample sizes for new studies, post-hoc power calculations,
 and comes with a Shiny application in which all calculations can be
 conducted as well. The statistical underpinnings are described in
 Zondervan-Zwijnenburg (2019) <doi:10.31234/osf.io/6myqh>.

Package: r-cran-anovashiny2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-rhandsontable, r-cran-desctools, r-cran-hh
Filename: pool/dists/focal/main/r-cran-anovashiny2_0.1.0-1.ca2004.1_all.deb
Size: 70820
MD5sum: 85efe5184ca28c91408d0145831f4058
SHA1: e4127cf10e598076459956b7758d92b8f21a2abe
SHA256: 1306de18296cce465935355e880eeb314ca7e25b6ac5136b4b3dc2c896f09389
SHA512: 21e95c79d87000d0ec2da4442fff20d9a60492e9f8e1a031fd5b7ff74f5666e8bea37deb0b06b7c4f3d2eb33d9555f1e04fc6ba5150939b40f00c0810dd835f0
Homepage: https://cran.r-project.org/package=ANOVAShiny2
Description: CRAN Package 'ANOVAShiny2' (Interactive Document for Working with Analysis of Variance)
 An interactive document on the topic of one-way and two-way analysis of
 variance using 'rmarkdown' and 'shiny' packages. Runtime examples are
 provided in the package function as well as at
 <https://kartikeyab.shinyapps.io/ANOVAShiny/>.

Package: r-cran-anovashiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-rhandsontable, r-cran-desctools, r-cran-hh
Filename: pool/dists/focal/main/r-cran-anovashiny_0.1.0-1.ca2004.1_all.deb
Size: 70700
MD5sum: 50a92e4e351560f456855ee67c0c9106
SHA1: 06cd9f72ee5494149cdadce7e51697a0e6dfac1f
SHA256: 6a3ec46fb9ba5235ad88c2a85a33ac7c204db352bb28031c284bedd775b8c428
SHA512: 6b790f26851bbb4ddcbe2afb67650fec3c1f6091386cbcfa644c8008937deae19b55c305af3ce0ca83b5ead7a8b8dbb78cf5f2d6181c723937194bec13f296e9
Homepage: https://cran.r-project.org/package=ANOVAShiny
Description: CRAN Package 'ANOVAShiny' (Interactive Document for Working with Analysis of Variance)
 An interactive document on the topic of one-way and two-way analysis of
 variance using 'rmarkdown' and 'shiny' packages. Runtime examples are
 provided in the package function as well as at
 <https://kartikeyab.shinyapps.io/ANOVAShiny/>.

Package: r-cran-anovir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anovir_0.1.0-1.ca2004.1_all.deb
Size: 392504
MD5sum: 0ee421aa8fe57af4d521998260442a4e
SHA1: 1b16dc863e1631f95a4ce24d3e54422afb73c424
SHA256: 3cf4173a73c8b95dc87285e6ed19d7e87a46af010e5367bfed64610d38052236
SHA512: 59db178ff98b716ed6dd31c8e0f7948a4740dcf03db3022b8b4715fd6ea897b22c860d30827bb8a399f108a924829c22a6a2236eefb63bb1ca29b632619bd56e
Homepage: https://cran.r-project.org/package=anovir
Description: CRAN Package 'anovir' (Analysis of Virulence)
 Epidemiological population dynamics models traditionally define a pathogen's
 virulence as the increase in the per capita rate of mortality of infected
 hosts due to infection. This package provides functions allowing virulence
 to be estimated by maximum likelihood techniques. The approach is based on
 the analysis of relative survival comparing survival in matching cohorts of
 infected vs. uninfected hosts (Agnew 2019) <doi:10.1101/530709>.

Package: r-cran-anscombiser
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-datasaurus, r-cran-gganimate, r-cran-ggplot2, r-cran-maps, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-anscombiser_1.1.0-1.ca2004.1_all.deb
Size: 193080
MD5sum: 0d3bea2d54a2bd5fd59406577af03df4
SHA1: 2d4adb4f0114aaa2e10567669f2bf0bc1617fdba
SHA256: 990d73f3c223f96c857e58fad3cf1dd8ea7e10109a42f5febf4aac653e2b23db
SHA512: 78bbf09dfe2032c36fba6e6c4a0e439c7690abfe906d6cca5fa961308cfcc7347907ef2a932a8936e61f3819809021eac654ba167ee54f9a57edee00f513cdfa
Homepage: https://cran.r-project.org/package=anscombiser
Description: CRAN Package 'anscombiser' (Create Datasets with Identical Summary Statistics)
 Anscombe's quartet are a set of four two-variable datasets that have several
 common summary statistics but which have very different joint distributions.
 This becomes apparent when the data are plotted, which illustrates the
 importance of using graphical displays in Statistics.  This package enables
 the creation of datasets that have identical marginal sample means and
 sample variances, sample correlation, least squares regression coefficients
 and coefficient of determination.  The user supplies an initial dataset,
 which is shifted, scaled and rotated in order to achieve target summary
 statistics.  The general shape of the initial dataset is retained.  The
 target statistics can be supplied directly or calculated based on a
 user-supplied dataset.  The 'datasauRus' package
 <https://cran.r-project.org/package=datasauRus> provides further examples of
 datasets that have markedly different scatter plots but share many sample
 summary statistics.

Package: r-cran-ansm5
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ansm5_1.1.1-1.ca2004.1_all.deb
Size: 558072
MD5sum: a1c90de0db77834f6c076f05ff51d755
SHA1: 6415745dfa8ac2bcbbd3d669b952b74a5408ccb2
SHA256: 22db7e25af1e1c1aea3eb6f40987c679887d075f12fa54c547be9789f777f30f
SHA512: b32c32c6def461c61156b4ea8c8f934ed21ddc30a16625139fd005d6cbfa59afcd507e675c7a6b69f0d5b846d6f85c30125bd4bb03035529dcd31b1a8f896479
Homepage: https://cran.r-project.org/package=ANSM5
Description: CRAN Package 'ANSM5' (Functions and Data for the Book "Applied NonparametricStatistical Methods", 5th Edition)
 Functions and data to accompany the 5th edition of the book "Applied
 Nonparametric Statistical Methods" (4th edition: Sprent & Smeeton, 2024,
 ISBN:158488701X), the revisions from the 4th edition including a move from
 describing the output from a miscellany of statistical software packages to
 using R. While the output from many of the functions can also be obtained
 using a range of other R functions, this package provides functions in a
 unified setting and give output using both p-values and confidence
 intervals, exemplifying the book's approach of treating p-values as a guide
 to statistical importance and not an end product in their own right. Please
 note that in creating the ANSM5 package we do not claim to have produced
 software which is necessarily the most computationally efficient nor the
 most comprehensive.

Package: r-cran-antangiocool
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 36180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-rjava, r-cran-rweka, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-antangiocool_1.2-1.ca2004.1_all.deb
Size: 24000920
MD5sum: 0ee0315cfd263651b5bdfdeea5043098
SHA1: 7b30058a11b70e1c21527f650822efc37f81527c
SHA256: f6f1c8da097ec4485beab1d5e9e156ae3dae12bf3e05a86a1feb2bcffefda7d2
SHA512: ee10050753a5c46ce8936c7ffe3ef6b87aac44f86dffde8f8f8803766cd20f97bb6044600023a989e74c3d58de98be16761ef9631290ce9ef40ceda19a98dd53
Homepage: https://cran.r-project.org/package=AntAngioCOOL
Description: CRAN Package 'AntAngioCOOL' (Anti-Angiogenic Peptide Prediction)
 Machine learning based package to predict anti-angiogenic peptides using
 heterogeneous sequence descriptors. 'AntAngioCOOL' exploits five descriptor
 types of a peptide of interest to do prediction including: pseudo amino acid
 composition, k-mer composition, k-mer composition (reduced alphabet),
 physico-chemical profile and atomic profile. According to the obtained
 results, 'AntAngioCOOL' reached to a satisfactory performance in
 anti-angiogenic peptide prediction on a benchmark non-redundant independent
 test dataset.

Package: r-cran-antareseditobject
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-antaresread, r-cran-assertthat, r-cran-cli, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-whisker, r-cran-doparallel, r-cran-dofuture, r-cran-memuse, r-cran-progressr, r-cran-pbapply, r-cran-future, r-cran-plyr, r-cran-yaml, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-antareseditobject_0.9.0-1.ca2004.1_all.deb
Size: 889376
MD5sum: c51ab2042873c000a374f21301185e97
SHA1: a0e3ff85effcd89792009a2ffc192982f1c52fab
SHA256: 995bad77a7403156f52a8fce3fca0f63b2516f56dad90a45af49d392ffd5efb3
SHA512: 6dacb47e59a6f32a0672c9a359e59d50213ed11506985d6369cb9657acf08587062ce4e7703188d17778a42702d138b6ee5d2ebc29e320099aa280bfae67c103
Homepage: https://cran.r-project.org/package=antaresEditObject
Description: CRAN Package 'antaresEditObject' (Edit an 'Antares' Simulation)
 Edit an 'Antares' simulation before running it : create new areas, links,
 thermal clusters or binding constraints or edit existing ones. Update
 'Antares' general & optimization settings.  'Antares' is an open source
 power system generator, more information available here :
 <https://antares-simulator.org/>.

Package: r-cran-antaresprocessing
Architecture: all
Version: 0.18.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3676
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-antaresread, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-antaresprocessing_0.18.3-1.ca2004.1_all.deb
Size: 820180
MD5sum: 89e8ce4e61af879b36c77dafbab216d9
SHA1: f9b49e045728439ad521fc961b41d62c48f27f67
SHA256: 9bb4abd758bae4e4991ce4606a3e681c568d3399f8f29c235333f6efe6f5accc
SHA512: 9f91b302c7ea78a7680eb20cf5c757ab6abf6e2b59346aee616df13ea3fd3a47d1115b25e694487310d3316a7522a500d32bbfaefcf7e095a2c345608a421627
Homepage: https://cran.r-project.org/package=antaresProcessing
Description: CRAN Package 'antaresProcessing' ('Antares' Results Processing)
 Process results generated by 'Antares', a powerful open source software
 developed by RTE (Réseau de Transport d’Électricité) to simulate and study
 electric power systems (more information about 'Antares' here:
 <https://github.com/AntaresSimulatorTeam/Antares_Simulator>).  This package
 provides functions to create new columns like net load, load factors, upward
 and downward margins or to compute aggregated statistics like economic
 surpluses of consumers, producers and sectors.

Package: r-cran-antaresread
Architecture: all
Version: 2.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4567
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-bit64, r-cran-lubridate, r-cran-plyr, r-cran-stringr, r-cran-stringi, r-cran-shiny, r-cran-pbapply, r-cran-doparallel, r-cran-jsonlite, r-cran-httr, r-cran-memuse, r-cran-purrr, r-cran-lifecycle, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-foreach, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-antaresread_2.9.0-1.ca2004.1_all.deb
Size: 3332628
MD5sum: 53ef3a2bc4a6228909f63994ea61b56a
SHA1: 7d1401ab48c578431de9421453bc2f9304a59606
SHA256: 8aaccb4cba49f6ac23ad6b563dceaced3ed409c9475e6a017e70c103ca2e5e3c
SHA512: ed7e73919054b4c2c26d17d1a9d8eff511142a1e526cc123a5bc6d80718b67f4c9f6fa05188eef7d25be17e54d3c12f33cc734865a51552350af2314faeaf1d8
Homepage: https://cran.r-project.org/package=antaresRead
Description: CRAN Package 'antaresRead' (Import, Manipulate and Explore the Results of an 'Antares'Simulation)
 Import, manipulate and explore results generated by 'Antares', a powerful
 open source software developed by RTE (Réseau de Transport d’Électricité) to
 simulate and study electric power systems (more information about 'Antares'
 here : <https://antares-simulator.org/>).

Package: r-cran-antaresviz
Architecture: all
Version: 0.18.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4296
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-antaresread, r-cran-antaresprocessing, r-cran-spmaps, r-cran-dygraphs, r-cran-shiny, r-cran-plotly, r-cran-htmltools, r-cran-htmlwidgets, r-cran-manipulatewidget, r-cran-leaflet, r-cran-sp, r-cran-sf, r-cran-webshot, r-cran-data.table, r-cran-lubridate, r-cran-geojsonio, r-cran-leaflet.minicharts, r-cran-assertthat, r-cran-ramcharts, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-visnetwork, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-antaresviz_0.18.3-1.ca2004.1_all.deb
Size: 2948212
MD5sum: 16651b030f9838ac92b50ed7cdef6325
SHA1: 2a4a7694ee63f0d64b12b1c2662796dee2035940
SHA256: 11a19bd01ab0a008570cd062c5cbcb0c81b6ff8e9e85438879e772fa089e3378
SHA512: 569b09a585cecc6fd973291091b44090284feadcee9814664479f760a005af40452b91f698582f70f03908de23f14775c218737caee369b06927fb21120dfac6
Homepage: https://cran.r-project.org/package=antaresViz
Description: CRAN Package 'antaresViz' (Antares Visualizations)
 Visualize results generated by Antares, a powerful open source software
 developed by RTE to simulate and study electric power systems (more
 information about 'Antares' here:
 <https://github.com/AntaresSimulatorTeam/Antares_Simulator>).  This package
 provides functions that create interactive charts to help 'Antares' users
 visually explore the results of their simulations.

Package: r-cran-anthro
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anthro_1.0.1-1.ca2004.1_all.deb
Size: 358416
MD5sum: b535422ff317ef3c9beaeaab9c6106eb
SHA1: c375e885ea888cef75b134d1ded7980acf965ad9
SHA256: c907a995dc2f622a4f14a8862aed59674761afc843742c5b73764e5e9e1f3adc
SHA512: 1d214ff94ba76d5b480779072964dc8980786436add28b35219f4a318f40a158533d79903bf68217849ceac067d1ce2348c65f01a9250e581acec3a09ade4dc7
Homepage: https://cran.r-project.org/package=anthro
Description: CRAN Package 'anthro' (Computation of the WHO Child Growth Standards)
 Provides WHO Child Growth Standards (z-scores) with confidence intervals and
 standard errors around the prevalence estimates, taking into account complex
 sample designs.  More information on the methods is available online:
 <https://www.who.int/tools/child-growth-standards>.

Package: r-cran-anthroplus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anthro
Suggests: r-cran-testthat, r-cran-survey
Filename: pool/dists/focal/main/r-cran-anthroplus_1.0.0-1.ca2004.1_all.deb
Size: 72976
MD5sum: ace78525d4d3640a0e1280411168e8e8
SHA1: a0b01c5d41e7dfbd7505ff0e2c14c214e9e2a523
SHA256: 0078b5404992eb5082a01b4269bd98d09ed274d86c53c3e478650f6416f3241c
SHA512: bff9b94c7565f21909aba4b61978f60852fe3c6b09077dc5df6d6ed3992b6b1cac2242de624ca14d509f4591da76134657410e1208005a0684baf77e1c290740
Homepage: https://cran.r-project.org/package=anthroplus
Description: CRAN Package 'anthroplus' (Computation of the WHO 2007 References for School-Age Childrenand Adolescents (5 to 19 Years))
 Provides WHO 2007 References for School-age Children and Adolescents (5 to
 19 years) (z-scores) with confidence intervals and standard errors around
 the prevalence estimates, taking into account complex sample designs.  More
 information on the methods is available online:
 <https://www.who.int/tools/growth-reference-data-for-5to19-years>.

Package: r-cran-anthropmmd
Architecture: all
Version: 4.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-plotrix, r-cran-rlang, r-cran-scatterplot3d, r-cran-shiny, r-cran-smacof
Suggests: r-cran-cluster, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anthropmmd_4.0.3-1.ca2004.1_all.deb
Size: 291644
MD5sum: 884462b7d4a4e0cadf50e6825511e7d9
SHA1: c68391e0694e5c362775942da52741747ba819a5
SHA256: bd557074186373e4d20dad11a2c06bc2866431d92905d2513b613a4dbf1be8b1
SHA512: b025c04f1b8101f90c238d005ca6ba8ce2038884bd60d92df0a320907961ac7e99cdcd9295db4074af6e7088bdad7a6c8cb76b30696e03235752e53c938d9ca5
Homepage: https://cran.r-project.org/package=AnthropMMD
Description: CRAN Package 'AnthropMMD' (An R Package for the Mean Measure of Divergence (MMD))
 Offers a graphical user interface for the calculation of the mean measure of
 divergence, with facilities for trait selection and graphical
 representations <doi:10.1002/ajpa.23336>.

Package: r-cran-antibodyforests
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2724
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-bioc-biostrings, r-cran-dplyr, r-cran-gtools, r-cran-igraph, r-cran-magrittr, r-bioc-pwalign, r-cran-rlang, r-cran-scales, r-cran-seqinr, r-cran-stringdist, r-cran-stringr, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-alakazam, r-cran-base64enc, r-cran-bio3d, r-cran-combinat, r-cran-devtools, r-cran-dt, r-cran-fpc, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggsignif, r-cran-htmltools, r-cran-knitr, r-bioc-msa, r-cran-phangorn, r-cran-pheatmap, r-cran-peptides, r-cran-rcompadre, r-cran-rmarkdown, r-cran-rpanda, r-cran-swiper
Filename: pool/dists/focal/main/r-cran-antibodyforests_1.0.0-1.ca2004.1_all.deb
Size: 1758040
MD5sum: 13679289d6ead5a3a97699768db7e84c
SHA1: c2054897d7b5afb2e488383f4a4462e6874f3104
SHA256: 03c0424045ff6c000f658dc411cdd51d7a3b1531cea739421eea2e440c4839c3
SHA512: 7ef6f2d7118ecba7d95ddc871ee0c52ff6ffdd9d49a7a45539bd4caf54643c262979caf9ba5cc3018e571ecd329cf2fce39590e1b14372e036cd651746387a11
Homepage: https://cran.r-project.org/package=AntibodyForests
Description: CRAN Package 'AntibodyForests' (Delineating Inter- And Intra-Antibody Repertoire Evolution)
 The generated wealth of immune repertoire sequencing data requires software
 to investigate and quantify inter- and intra-antibody repertoire evolution
 to uncover how B cells evolve during immune responses. Here, we present
 'AntibodyForests', a software to investigate and quantify inter- and
 intra-antibody repertoire evolution.

Package: r-cran-antibodytiters
Architecture: all
Version: 0.1.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-openxlsx, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-antibodytiters_0.1.24-1.ca2004.1_all.deb
Size: 219456
MD5sum: 3717a4a5feecf8815f4b1d9f53095303
SHA1: 13b20db1b721967d649b3ddb6b8816b8209a0cf7
SHA256: 96eb707a126e3f60420338b1fe3a3d2c1e9ef303b369eeaa987a51ee002b533b
SHA512: e5456957ba3e8f88f2cb5d1ac82e8c9bac47a7a800036c82d2c45aabdcdff84ef25db259abb8e18b200a0258c4e0d4ed05c39df35ef7b3bc1be698d65ba71ac2
Homepage: https://cran.r-project.org/package=AntibodyTiters
Description: CRAN Package 'AntibodyTiters' (Antibody Titer Analysis of Vaccinated Patients)
 Visualization of antibody titer scores is valuable for examination of
 vaccination effects. 'AntibodyTiters' visualizes antibody titers of all or
 selected patients. This package also produces empty excel files in a
 specified format, in which users can fill in experimental data for
 visualization. Excel files with toy data can also be produced, so that users
 can see how it is visualized before obtaining real data. The data should
 contain titer scores at pre-vaccination, after-1st shot, after-2nd shot, and
 at least one additional sampling points. Patients with missing values can be
 included. The first two sampling points (pre-vaccination and after-1st shot)
 will be plotted discretely, whereas those following will be plotted on a
 continuous time scale that starts from the day of second shot. Half-life of
 titer can also be calculated for each pair of sampling points.

Package: r-cran-antitrust
Architecture: all
Version: 0.99.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2312
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bb, r-cran-numderiv
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-bookdown, r-cran-rmarkdown, r-cran-competitiontoolbox
Filename: pool/dists/focal/main/r-cran-antitrust_0.99.26-1.ca2004.1_all.deb
Size: 1048260
MD5sum: 9cfffc566265de083ded64004baa85a2
SHA1: 471bf9abcec8c29a9db914ebf1e04afff0f29d7f
SHA256: 23915686366f68ba9bfd2a89bb800302dc298b4e674196d0ab8225993aca4e94
SHA512: 15d6f9176525d6d016af7ee20348183bacd53efc63496428875c8614df10d11195248474e10005e1d9e40949c20b47351f70e95864bb32679f67b9b604adcc7f
Homepage: https://cran.r-project.org/package=antitrust
Description: CRAN Package 'antitrust' (Tools for Antitrust Practitioners)
 A collection of tools for antitrust practitioners, including the ability to
 calibrate different consumer demand systems and simulate the effects of
 mergers under different competitive regimes.

Package: r-cran-antweb
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-plyr, r-cran-assertthat, r-cran-httr, r-cran-leafletr
Filename: pool/dists/focal/main/r-cran-antweb_0.7-1.ca2004.1_all.deb
Size: 48160
MD5sum: b2abbd73850f292100d57a89a7349c6b
SHA1: 1d8d2356342b41944a5664d13ed0682e03347ce7
SHA256: 47835533b8415bf59d202c8a051913f2450e962d53ce23c347492f853bb68a44
SHA512: f60e32ba4d5c2af407aace5375ef92b305c0ca64ff1d06b9c51c2349c1e73a8cdbe5df944123ffd68cae3183438ca1b585579ecef73faeb4ce3142437f0a222b
Homepage: https://cran.r-project.org/package=AntWeb
Description: CRAN Package 'AntWeb' (programmatic interface to the AntWeb)
 A complete programmatic interface to the AntWeb database from the California
 Academy of Sciences.

Package: r-cran-anxietysleep
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-anxietysleep_0.0.1-1.ca2004.1_all.deb
Size: 57712
MD5sum: c6cc9c1f1795af6b06ed8545775b8d6b
SHA1: a7145f22925deec91e837881dbb89519dd877a02
SHA256: 6bd58213b68553f7fc7a65a07db52b931514d0296edb38e972954d4deda90f15
SHA512: f8176461cc48a8bcdcf9b32049648a0a3b7950d222891fb6e011cb4a4b22c97e0d2fc5bacb315466d31f11b99b533ed851a9b03ba89fd2503163974d96108f73
Homepage: https://cran.r-project.org/package=AnxietySleep
Description: CRAN Package 'AnxietySleep' (Sleep Quality and Anxiety in Confinement)
 Data from the anxiety and confinement study from Alvarado-Aravena et al.
 (2022) <doi:10.3390/bs12100398>.

Package: r-cran-anybadger
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-glue, r-cran-purrr, r-cran-config, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-anybadger_0.1.0-1.ca2004.1_all.deb
Size: 56460
MD5sum: f84454b24956528b44013b0cba101b62
SHA1: 7628e8da3ee25cafa764f52c61b3256763239c46
SHA256: bc529a0a6e187e50ac262963d4e9a2ce0f64448d64a24e71bc2d1a96b321ed10
SHA512: 6c0f4e02dea1b393626de621520e32b16570dbf37cb0ccdfc5ce92e40f49f17142e821881d5786714858e7689e63bbf9d84bb5231ee02a50e6c9a6b639a925bd
Homepage: https://cran.r-project.org/package=anybadger
Description: CRAN Package 'anybadger' (Create Custom Pipeline Badges)
 You can use this package to create custom pipeline badges in a standard
 'svg' format.  This is useful for a company to use internally, where it may
 not be possible to create badges through external providers.  This project
 was inspired by the 'anybadge' library in python.

Package: r-cran-anyflights
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-readr, r-cran-lubridate, r-cran-vroom, r-cran-glue, r-cran-purrr, r-cran-stringr, r-cran-curl, r-cran-usethis, r-cran-roxygen2, r-cran-progress, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-nycflights13, r-cran-covr
Filename: pool/dists/focal/main/r-cran-anyflights_0.3.5-1.ca2004.1_all.deb
Size: 113128
MD5sum: 7d16c7f4de83339bf98f440838370146
SHA1: b7052c7ad08f35c248ef3bc3ac309072f5bb126f
SHA256: 757ebcbdaf4c5a872a800f1d0370ee6fe0613589e6661ce17b080dda1a5a6b64
SHA512: b5c169d83a35a78b1520f2a3f8f9339cb17e860d6180f86d2d720bf50914d522e1639956002d4b4419e92ea7f676f56f3f957f34f43211938a16588ce6f42bb4
Homepage: https://cran.r-project.org/package=anyflights
Description: CRAN Package 'anyflights' (Query 'nycflights13'-Like Air Travel Data for Given Years andAirports)
 Supplies a set of functions to query air travel data for user- specified
 years and airports. Datasets include on-time flights, airlines, airports,
 planes, and weather.

Package: r-cran-anylib
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-withr, r-cran-biocmanager, r-cran-httr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-anylib_1.0.5-1.ca2004.1_all.deb
Size: 20332
MD5sum: 869d037c7aabb2c81ee87a05f6e1ccaf
SHA1: 1b470fb05d3a5dc3e58c5c628debc84b52f52dbc
SHA256: 853719dd8bb0d2bdbc68116a1cc563428a33b02e5930579b4fe1b5ffd98ef7c4
SHA512: 8d092375c062319dd7ba55e3cde6283ad46a176ab833b6637e6d9c44e886076bf5c4bf1cc72350ea4dec413e82069b3737ab48e82e3f39842479a8ee6c5e852d
Homepage: https://cran.r-project.org/package=anyLib
Description: CRAN Package 'anyLib' (Install and Load Any Package from CRAN, Bioconductor or Github)
 Made to make your life simpler with packages, by installing and loading a
 list of packages, whether they are on CRAN, Bioconductor or github. For
 github, if you do not have the full path, with the maintainer name in it
 (e.g. "achateigner/topReviGO"), it will be able to load it but not to
 install it.

Package: r-cran-ao
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-future.apply, r-cran-oeli, r-cran-progressr, r-cran-r6
Suggests: r-cran-devtools, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ao_1.2.1-1.ca2004.1_all.deb
Size: 259900
MD5sum: 7d917027c28110294ca56caff50cb2c5
SHA1: 344102873433b99b778901d7a7439349e3a8e995
SHA256: e68458c40d93bc3e4c2661fb21a6359605cc9f50db1335579cb7f5262140a911
SHA512: 279408198d1b28adc8a5028560c527a6dc0784c1ea13cf96eae8ab866d2ed10ea2ac190c40037ea99afe777416461944dc9678eec90a59a1271a5390c3274177
Homepage: https://cran.r-project.org/package=ao
Description: CRAN Package 'ao' (Alternating Optimization)
 An iterative process that optimizes a function by alternately performing
 restricted optimization over parameter subsets. Instead of joint
 optimization, it breaks the optimization problem down into simpler
 sub-problems. This approach can make optimization feasible when joint
 optimization is too difficult.

Package: r-cran-aoboot
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-afex, r-cran-emmeans, r-cran-lsr, r-cran-cardata
Filename: pool/dists/focal/main/r-cran-aoboot_0.1.2-1.ca2004.1_all.deb
Size: 95920
MD5sum: f2dd1a674af051b43de9b2cd626545b0
SHA1: ba0f008a11d74f220cd351ae807c1f9e7cde2d42
SHA256: b8308ceea6ec377f4280381f9e57e5bf60448d2c53c2fca662df8512b48a6797
SHA512: 4eb07393b0b9b173c0b13d2bb2e985c1eaed5009ab45dc0a58d04132f4c33039cfad346f39b04a130490a405c5428a7682b1c7a53f4d555bd3f4c5d4c99f2e75
Homepage: https://cran.r-project.org/package=AOboot
Description: CRAN Package 'AOboot' (Bootstrapping in Different One-Way and Two-Way ANOVA)
 To address the violation of the assumption of normally distributed
 variables, researchers frequently employ bootstrapping. Building upon
 established packages for R (Sigmann et al. (2024)
 <doi:10.32614/CRAN.package.afex>, Lenth (2024)
 <doi:10.32614/CRAN.package.emmeans>), we provide bootstrapping functions to
 approximate a normal distribution of the parameter estimates for
 between-subject, within-subject, and mixed one-way and two-way ANOVA.

Package: r-cran-aod
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mass, r-cran-boot, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-aod_1.3.3-1.ca2004.1_all.deb
Size: 388436
MD5sum: 5db0625407c4038d3b0205a0dc0076b8
SHA1: 4d1ab42b7010866591cdc587b6b33bc2cb0e0866
SHA256: ff3e5a700e2bfe0d77e7dc1527b076d28e23e8dde2ca973f76b503bfced5c917
SHA512: d3ef43f85d0c1c47458f3d9c26819fa30f8ff74bfad9fafd99e0273cdd1039ec5f3d23cca2b19a25003df8b0588fa7640ef0da01d7fd34fc2b0310befa3d8f30
Homepage: https://cran.r-project.org/package=aod
Description: CRAN Package 'aod' (Analysis of Overdispersed Data)
 Provides a set of functions to analyse overdispersed counts or proportions.
 Most of the methods are already available elsewhere but are scattered in
 different packages. The proposed functions should be considered as
 complements to more sophisticated methods such as generalized estimating
 equations (GEE) or generalized linear mixed effect models (GLMM).

Package: r-cran-aods3
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-boot, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-aods3_0.5-1.ca2004.1_all.deb
Size: 170116
MD5sum: d4f44ea5496f9f38481c3c948573fa56
SHA1: 2128aa0ed38187e2fd4363bbab8718d1f5115991
SHA256: 206ff7dabe132a0e8b80887c4d4ddd56e7149bea1753ec0709f418b977742f6f
SHA512: c0e34d3b09885048ad4b404133df59c98eee01f6eedee87eca3970d8e4e7db81d6475226434a212c8930ef84c3477677d8c8fa2c30004c171e04461915c89bc7
Homepage: https://cran.r-project.org/package=aods3
Description: CRAN Package 'aods3' (Analysis of Overdispersed Data using S3 Methods)
 Provides functions to analyse overdispersed counts or proportions. These
 functions should be considered as complements to more sophisticated methods
 such as generalized estimating equations (GEE) or generalized linear mixed
 effect models (GLMM). aods3 is an S3 re-implementation of the deprecated S4
 package aod.

Package: r-cran-aof
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bcpa
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aof_0.1.2-1.ca2004.1_all.deb
Size: 94848
MD5sum: be62f707d52bdc3ddd280a5a26870ed7
SHA1: cb81ffa3ab5dd71db831acd7e3743941ee0cc1f3
SHA256: a70add43896a2fb2f677776b93836ea3b21fa880f0335ffd7ceec8cd8234a56d
SHA512: 913da3a1e30c40c7eb61904e575c08ad377cb503a4dd650eb3997121f801200280b5535a809092f9e2cf7fc784a7cfa00f99e2c2b5fcb539eb7645bb8402456b
Homepage: https://cran.r-project.org/package=aof
Description: CRAN Package 'aof' (Ontogenetic Shifts in Central-Place Foraging Insects)
 A breakpoint-based method to detect ontogenetic shifts in univariate
 time-activity budget series of central-place foraging insects.  The method
 finds a single breakpoint according to the likelihood function.  The method
 was developed with honey bees in order to detect the Age at Onset of
 Foraging (AOF), but can be used for the detection of other ontogenetic
 shifts in other central-place foraging insects.

Package: r-cran-aoos
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-roxygen2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rbenchmark, r-cran-r6, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aoos_0.5.0-1.ca2004.1_all.deb
Size: 253616
MD5sum: f00cb4222173820d97ffb8b95c52fcdb
SHA1: 1fc374fcddbf3047275c70dfff1e89251b267fec
SHA256: b3af48dd39f4af8d6ee27bed60f9f695a0d18793f549c31bd3e7dadf245f5843
SHA512: 8d480a31f3fd23ea3ef057ba02f3f8ae8273e1a9f1508f317c13bfbef4d145c0d0264732cda9246b777d468a8d2eb607f1b78879a4eb357d10efea43d0c5f96b
Homepage: https://cran.r-project.org/package=aoos
Description: CRAN Package 'aoos' (Another Object Orientation System)
 Another implementation of object-orientation in R. It provides syntactic
 sugar for the S4 class system and two alternative new implementations. One
 is an experimental version built around S4 and the other one makes it more
 convenient to work with lists as objects.

Package: r-cran-aopdata
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-curl, r-cran-data.table, r-cran-sf
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-units
Filename: pool/dists/focal/main/r-cran-aopdata_1.1.1-1.ca2004.1_all.deb
Size: 393852
MD5sum: 0868a28c7e4251b8542901f235579b36
SHA1: bea1e5beca2d476df44cab4ce56b5d1f0c8678d9
SHA256: 470cc15489dd4c9ca0b099368e572fe90997d7edb4747ed0262e3a037d63923e
SHA512: 5d206cc38d32efeb21eb506b9adf65f6e9f5f8d7bc09ee2033b8f0b5692fac64f9ae798f8bcc70a7a57692435364eb2a73aeb6119d3282e11dc4814201f6d411
Homepage: https://cran.r-project.org/package=aopdata
Description: CRAN Package 'aopdata' (Data from the 'Access to Opportunities Project (AOP)')
 Download data from the 'Access to Opportunities Project (AOP)'. The
 'aopdata' package brings annual estimates of access to employment, health,
 education and social assistance services by transport mode, as well as data
 on the spatial distribution of population, jobs, health care, schools and
 social assistance facilities at a fine spatial resolution for all cities
 included in the project. More info on the 'AOP' website
 <https://www.ipea.gov.br/acessooportunidades/en/>.

Package: r-cran-aoptbdtvc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolve, r-cran-mass
Filename: pool/dists/focal/main/r-cran-aoptbdtvc_0.0.3-1.ca2004.1_all.deb
Size: 87912
MD5sum: 5b58cfb8124b94c891677f429f4a4597
SHA1: a6f1a6a8d92a82becaf90a87932e9bc194f145eb
SHA256: e328fd100f1f2911281587335d23971dbdc15fb62f0cf89f603789eb89fc00d9
SHA512: 238bc2b821d7ff5795b507cdd854c5c823616509c30279ff66d0a6d7df09f890bb1b1375cefaf6ef4f11686bca339a07dfeebaf2cb67e70584edd70be565accc
Homepage: https://cran.r-project.org/package=Aoptbdtvc
Description: CRAN Package 'Aoptbdtvc' (A-Optimal Block Designs for Comparing Test Treatments withControls)
 A collection of functions to construct A-optimal block designs for comparing
 test treatments with one or more control(s). Mainly A-optimal balanced
 treatment incomplete block designs, weighted A-optimal balanced treatment
 incomplete block designs, A-optimal group divisible treatment designs and
 A-optimal balanced bipartite block designs can be constructed using the
 package. The designs are constructed using algorithms based on linear
 integer programming. To the best of our knowledge, these facilities to
 construct A-optimal block designs for comparing test treatments with one or
 more controls are not available in the existing R packages. For more details
 on designs for tests versus control(s) comparisons, please see Hedayat, A.
 S. and Majumdar, D. (1984) <doi:10.1080/00401706.1984.10487989> A-Optimal
 Incomplete Block Designs for Control-Test Treatment Comparisons,
 Technometrics, 26, 363-370 and Mandal, B. N. , Gupta, V. K., Parsad,
 Rajender. (2017) <doi:10.1080/03610926.2015.1071394> Balanced treatment
 incomplete block designs through integer programming. Communications in
 Statistics - Theory and Methods 46(8), 3728-3737.

Package: r-cran-aoristic
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-openxlsx, r-cran-ggplot2, r-cran-lubridate, r-cran-plyr, r-cran-scales, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-aoristic_1.1.1-1.ca2004.1_all.deb
Size: 124600
MD5sum: 80d8472725ed71eef97f2f39b63b0c7e
SHA1: ce5cedee331e5653f2529231ee3fb3a8ab6ef631
SHA256: 74a62ff6a1067f82af7b4b8451ca500af02078fb98a2b830eb9dae3cfbffae92
SHA512: 5f8b6ce39990da35844c85f37b78a7273c57fb9fb41801a6af6bc6aa88619c1f13cb4d73b67f839405be4767fb5a2216d4c646272dfc52b94683e7743c807855
Homepage: https://cran.r-project.org/package=aoristic
Description: CRAN Package 'aoristic' (Generates Aoristic Probability Distributions)
 It can sometimes be difficult to ascertain when some events (such as
 property crime) occur because the victim is not present when the crime
 happens. As a result, police databases often record a 'start' (or 'from')
 date and time, and an 'end' (or 'to') date and time. The time span between
 these date/times can be minutes, hours, or sometimes days, hence the term
 'Aoristic'.  Aoristic is one of the past tenses in Greek and represents an
 uncertain occurrence in time.  For events with a location describes with
 either a latitude/longitude, or X,Y coordinate pair, and a start and end
 date/time, this package generates an aoristic data frame with aoristic
 weighted probability values for each hour of the week, for each observation.
 The coordinates are not necessary for the program to calculate aoristic
 weights; however, they are part of this package because a spatial component
 has been integral to aoristic analysis from the start. Dummy coordinates can
 be introduced if the user only has temporal data. Outputs include an
 aoristic data frame, as well as summary graphs and displays.  For more
 information see: Ratcliffe, JH (2002) Aoristic signatures and the temporal
 analysis of high volume crime patterns, Journal of Quantitative Criminology.
 18 (1): 23-43.  Note: This package replaces an original 'aoristic' package
 (version 0.6) by George Kikuchi that has been discontinued with his
 permission.

Package: r-cran-aos
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-htmltools
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-aos_0.1.0-1.ca2004.1_all.deb
Size: 66304
MD5sum: f926dba874f1917b01bf234fe07ab6b9
SHA1: 9734cf6b5ac6b48dd5ab195f9180310a54f1b083
SHA256: c9cbf2ee3e3ba5b322ba8f303aafc634e4e34990d71d0b238ec4a2fec4d75e0d
SHA512: aa6343f1c0c4d38acd22bc6116128f97854984510362a28fc03530fa68ead1b67d1709398ad4051dc9a1b834d43f8821f57fe46d48ac511e7e218ccd66721b1e
Homepage: https://cran.r-project.org/package=aos
Description: CRAN Package 'aos' (Animate on Scroll Library for 'shiny')
 Trigger animation effects on scroll on any HTML element of 'shiny' and
 'rmarkdown', such as any text or plot, thanks to the 'AOS' Animate On Scroll
 jQuery library.

Package: r-cran-aousdohtools
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-devtools, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-aousdohtools_1.0.4-1.ca2004.1_all.deb
Size: 110840
MD5sum: 75cc5df33b21222994a91508b41cfde5
SHA1: 016a39fa1ccdeeec688dc3851f21c11809cce20e
SHA256: d61b0ff65fc861c8fbda21c9ce27865fea070999d83e71af86a15f524b0835fd
SHA512: 33f1394aea66282f6ff5b916ea1cec2c2999cdd8f2c495a4976709ca7dd559cff8c835de727ebc09d7c68b20c44a334a0a1ea654ffa3e9c697ace460606d3a00
Homepage: https://cran.r-project.org/package=AOUSDOHtools
Description: CRAN Package 'AOUSDOHtools' (Analyzing AOU SDOH Survey Data)
 Functions for processing and analyzing survey data from the All of Us Social
 Determinants of Health (AOUSDOH) program, including tools for calculating
 health and well-being scores, recoding variables, and simplifying survey
 data analysis. For more details see - Koleck TA, Dreisbach C, Zhang C,
 Grayson S, Lor M, Deng Z, Conway A, Higgins PDR, Bakken S (2024)
 <doi:10.1093/jamia/ocae214>.

Package: r-cran-aov1r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cellranger, r-cran-purrr, r-cran-data.table, r-cran-lazyeval
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aov1r_0.1.0-1.ca2004.1_all.deb
Size: 43300
MD5sum: 388d32f25db8adb60c23d09ba0550f67
SHA1: 5bb806d7e370f208c1c7a4e17460304237b22ce8
SHA256: a1153e004263eed7f7a940e2683ea14c7852d88344715a6ed68f40b7ccc15a14
SHA512: 0c41578583183b00ff81727255e6e7c625a2360dc49a4ba2931e66dddcd28a12d60c9d85084eedc89bab6238beedf3bd9343e1c85d4a368f82c07fe2a7e4d967
Homepage: https://cran.r-project.org/package=AOV1R
Description: CRAN Package 'AOV1R' (Inference in the Balanced One-Way ANOVA Model with Random Factor)
 Provides functions to perform statistical inference in the balanced one-way
 ANOVA model with a random factor: confidence intervals, prediction interval,
 and Weerahandi generalized pivotal quantities. References: Burdick &
 Graybill (1992, ISBN-13: 978-0824786441); Weerahandi (1995)
 <doi:10.1007/978-1-4612-0825-9>; Lin & Liao (2008)
 <doi:10.1016/j.jspi.2008.01.001>.

Package: r-cran-apa
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mbess, r-cran-purrr, r-cran-rmarkdown, r-cran-stringr, r-cran-tibble
Suggests: r-cran-afex, r-cran-ez, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-apa_0.3.4-1.ca2004.1_all.deb
Size: 113508
MD5sum: bdf4529348766155c98f7fda3dd199d2
SHA1: 0f86a92783d5028a09b82231f764fc908cc2431f
SHA256: 59d0947e67facca1d4ff3fa8b66c6bd8bda3e83d8a2b14786a1e8c13e65263c2
SHA512: dbb1b12db0869c26a129f6eec89b7d1ea2f6729224f5ead16c5bee42d2d26fca7c8350ca6e1de4443bc70b0582325de6be3933d90c97f4d8564fa4c55b68798b
Homepage: https://cran.r-project.org/package=apa
Description: CRAN Package 'apa' (Format Outputs of Statistical Tests According to APA Guidelines)
 Formatter functions in the 'apa' package take the return value of a
 statistical test function, e.g. a call to chisq.test() and return a string
 formatted according to the guidelines of the APA (American Psychological
 Association).

Package: r-cran-apache.sedona
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-sparklyr, r-cran-dbplyr, r-cran-cli, r-cran-lifecycle
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-apache.sedona_1.7.2-1.ca2004.1_all.deb
Size: 347252
MD5sum: 8f6e5d81219c0866560f6c0f15dfb4cd
SHA1: 6208c6a054539c5be0acd3fc24aa66f87febab81
SHA256: 525244981b5d17105a9d7e8b5edacdc1d1f80c074cd76c12623ad049ad213428
SHA512: e74c1d6a573ba11bd8adce9c932d68bc545efbd6dc2ee02206a6cc07ef11493972e5c1e55ec70958af68b322db6d8950abbcae11c2dd26039c8f08f3f21b9086
Homepage: https://cran.r-project.org/package=apache.sedona
Description: CRAN Package 'apache.sedona' (R Interface for Apache Sedona)
 R interface for 'Apache Sedona' based on 'sparklyr'
 (<https://sedona.apache.org>).

Package: r-cran-apachelogprocessor
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-apachelogprocessor_0.2.3-1.ca2004.1_all.deb
Size: 49972
MD5sum: a8fc823871a3855094b2c8c1c9f541cd
SHA1: 692020e8ca32adf1d156003d78f68e971df2c60f
SHA256: 2bb52c60f2b6c51729a5b58e3eec2d724908d0401d735b9f1db379382b8ae0d6
SHA512: cc3bdcd4cb22242f0f468116e45f2133afab72885f8b0c67ef110fa2f8bb1983c287a7d51a1ed3c1858aa0561cbedac15d0aa17eeec33e462aa9d9477cf87975
Homepage: https://cran.r-project.org/package=ApacheLogProcessor
Description: CRAN Package 'ApacheLogProcessor' (Process the Apache Web Server Log Files)
 Provides capabilities to process Apache HTTPD Log files.The main
 functionalities are to extract data from access and error log files to data
 frames.

Package: r-cran-apatables
Architecture: all
Version: 2.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-broom, r-cran-dplyr, r-cran-boot, r-cran-tibble, r-cran-mbess
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-apatables_2.0.8-1.ca2004.1_all.deb
Size: 310700
MD5sum: b5613eab1951a81a9aaca217b37dd7a3
SHA1: 144e53e6bbd27a55a31aa516d56f48bfc18c1e5f
SHA256: 2550de4a2c3c5e30d010f1284176d339d09f89eb7d335c52af244b3f01a4a687
SHA512: 6c76709f8c08fce18555b034d2fb43d99d0a7b6c7867b26cda8356ffcceb4bc8f594162be3725419e77a6fef4136a87493269aeffd8706e0c037c37392e0ce3f
Homepage: https://cran.r-project.org/package=apaTables
Description: CRAN Package 'apaTables' (Create American Psychological Association (APA) Style Tables)
 A common task faced by researchers is the creation of APA style (i.e.,
 American Psychological Association style) tables from statistical output. In
 R a large number of function calls are often needed to obtain all of the
 desired information for a single APA style table. As well, the process of
 manually creating APA style tables in a word processor is prone to
 transcription errors. This package creates Word files (.doc files)
 containing APA style tables for several types of analyses. Using this
 package minimizes transcription errors and reduces the number commands
 needed by the user.

Package: r-cran-apatext
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-cocor
Suggests: r-cran-apatables
Filename: pool/dists/focal/main/r-cran-apatext_0.1.7-1.ca2004.1_all.deb
Size: 52124
MD5sum: c7006bb710cbb72487180436346c922e
SHA1: ed8f015c7e7aaf6418a2f7fcd884f0918814549b
SHA256: bdd69518026f814a597bd01e3f371c634b07a0005ee2ec8302215dddc1ba4ebc
SHA512: 116c416830d486a6cae42f1689b2331efd69eb0b6b89711d955b618393f28ce265e10a5e495bb3a6d47c5c9b52d39883ac50e32f260e4e2a78066e94daa9b9b7
Homepage: https://cran.r-project.org/package=apaText
Description: CRAN Package 'apaText' (Create R Markdown Text for Results in the Style of the AmericanPsychological Association (APA))
 Create APA style text from analyses for use within R Markdown documents.
 Descriptive statistics, confidence intervals, and cell sizes are reported.

Package: r-cran-apc
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3447
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-plyr, r-cran-reshape, r-cran-plm, r-cran-survey, r-cran-lmtest, r-cran-car, r-cran-aer, r-cran-islr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-apc_2.0.1-1.ca2004.1_all.deb
Size: 2869896
MD5sum: e9042b9ad078c1dd3415a23246b5ac47
SHA1: 14b2a97fcb136cd81a8cae0dbbfc66e8e9f06ed3
SHA256: 39682e82c14ee47f43e1d480980c77efff35577c88ca7bcbcca7e55520c8225d
SHA512: 3428b541731ff129a0cc5fdfb333d4fd02a5cc478b7ee33f8296fa5b4addc9d6b173242b162ab0aca3f83537688ace23f695ed58f9b55101202c5612497c2c6f
Homepage: https://cran.r-project.org/package=apc
Description: CRAN Package 'apc' (Age-Period-Cohort Analysis)
 Functions for age-period-cohort analysis. Aggregate data can be organised in
 matrices indexed by age-cohort, age-period or cohort-period. The data can
 include dose and response or just doses. The statistical model is a
 generalized linear model (GLM) allowing for 3,2,1 or 0 of the
 age-period-cohort factors. Individual-level data should have a row for each
 individual and columns for each of age, period, and cohort. The statistical
 model for repeated cross-section is a generalized linear model. The
 statistical model for panel data is ordinary least squares. The canonical
 parametrisation of Kuang, Nielsen and Nielsen (2008)
 <DOI:10.1093/biomet/asn026> is used. Thus, the analysis does not rely on ad
 hoc identification.

Package: r-cran-apcalign
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4513
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-stringi, r-cran-stringdist, r-cran-crayon, r-cran-httr, r-cran-jsonlite, r-cran-curl, r-cran-arrow, r-cran-rlang
Suggests: r-cran-janitor, r-cran-tidyr, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apcalign_1.1.3-1.ca2004.1_all.deb
Size: 3543896
MD5sum: 1771d60eff03dae5b3acb6217c598b8f
SHA1: cccbf49d9814f61e96f841f2d26c41225813bdb1
SHA256: 86ef59c4b702cdb8a90c1797b0265c0b8bff6526d9702fa9f4eabdc42f886673
SHA512: 5dd1bf7e2b0c71e3663aa5915d495196e8226da2641584dd6fd163f050ccd7e4310f69118e5e1fe311f30f7d2764d1f4935005d23e634819b972562b48088f32
Homepage: https://cran.r-project.org/package=APCalign
Description: CRAN Package 'APCalign' (Resolving Plant Taxon Names Using the Australian Plant Census)
 The process of resolving taxon names is necessary when working with
 biodiversity data. 'APCalign' uses the Australian Plant Census (APC) and the
 Australian Plant Name Index (APNI) to align and update plant taxon names to
 current, accepted standards. 'APCalign' also supplies information about the
 established status of plant taxa across different states/territories.

Package: r-cran-apcanalysis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-apcanalysis_1.0-1.ca2004.1_all.deb
Size: 50904
MD5sum: 9bce8dfaf8fab4c9fbfae95023cea64d
SHA1: 2b3c07623119cc1e30c73425139c3eebab2aa8dd
SHA256: 294f0b518d7be85507f16e5f868fc6cd645e47abaa40dae17aa09234bbddbb92
SHA512: 63ebccdac930ca2b193468b0ef7bc04c4df18ab2d3f532f1aa11148fb0d9e100332ffdd8b1c85289f876dd87628b5cf3d2c4773d2ac0fc259804d14c59efb838
Homepage: https://cran.r-project.org/package=APCanalysis
Description: CRAN Package 'APCanalysis' (Analysis of Unreplicated Orthogonal Experiments using AllPossible Comparisons)
 Analysis of data from unreplicated orthogonal experiments such as 2-level
 factorial and fractional factorial designs and Plackett-Burman designs using
 the all possible comparisons (APC) methodology developed by Miller (2005)
 <doi:10.1198/004017004000000608>.

Package: r-cran-apci
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1753
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-data.table, r-cran-ggpubr, r-cran-stringr, r-cran-gee
Filename: pool/dists/focal/main/r-cran-apci_1.0.8-1.ca2004.1_all.deb
Size: 1703632
MD5sum: 7afe7412512107a3acabd753d386de22
SHA1: 4697d77b091733ecaf6592fe21d69f0600c99a44
SHA256: 2862bf5a51f8e5a744b3231ed775a4f495a8ddf1ba697d3dbe037e7d4578ec7f
SHA512: 07f2bb9bc67896f2735dc4263358802c8c80a57abe849aa808141a308a256e502ff477d3258970f74a129089072d991d41678057ff82735977830a2d54b2ecd6
Homepage: https://cran.r-project.org/package=APCI
Description: CRAN Package 'APCI' (A New Age-Period-Cohort Model for Describing and InvestigatingInter-Cohort Differences and Life Course Dynamics)
 It implemented Age-Period-Interaction Model (APC-I Model) proposed in the
 paper of Liying Luo and James S. Hodges in 2019. A new age-period-cohort
 model for describing and investigating inter-cohort differences and life
 course dynamics.

Package: r-cran-apcoa
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-randomcolor, r-cran-ape, r-cran-car, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-apcoa_1.3-1.ca2004.1_all.deb
Size: 29208
MD5sum: 1197a111e8f5f17014461bf2489f10ed
SHA1: f7faa805ac0e3b54ddd57bc2c7566c8fa87cbb5c
SHA256: 68e0b285ffec7d09d53dfd252c37307f5c59a0579333bf02d3e495ca86722aa4
SHA512: 44c52bbd094ec93c0aeae56e62779ed85733ec08df7054454035aac7a385e42e4e574f314399e89e3aa3faea58d6d1e0cb409f418e74499ff95392290ea229ea
Homepage: https://cran.r-project.org/package=aPCoA
Description: CRAN Package 'aPCoA' (Covariate Adjusted PCoA Plot)
 In fields such as ecology, microbiology, and genomics, non-Euclidean
 distances are widely applied to describe pairwise dissimilarity between
 samples. Given these pairwise distances, principal coordinates analysis
 (PCoA) is commonly used to construct a visualization of the data. However,
 confounding covariates can make patterns related to the scientific question
 of interest difficult to observe. We provide 'aPCoA' as an easy-to-use tool
 to improve data visualization in this context, enabling enhanced
 presentation of the effects of interest. Details are described in Yushu Shi,
 Liangliang Zhang, Kim-Anh Do, Christine Peterson and Robert Jenq (2020)
 Bioinformatics, Volume 36, Issue 13, 4099-4101.

Package: r-cran-apctools
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6016
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggpubr, r-cran-checkmate, r-cran-knitr, r-cran-ggplot2, r-cran-colorspace, r-cran-dplyr, r-cran-mgcv, r-cran-scales, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-apctools_1.0.8-1.ca2004.1_all.deb
Size: 4072140
MD5sum: 596b10149451924f6c51e7c05062650c
SHA1: 358eec3a099b5643f053ba7e3afd47f653317d87
SHA256: 20b198c87fb60e8dd240e5662a403354e7d0defadbbb28a92c440e088dfc2a60
SHA512: ca21e55c9fbdeb98ba9d3ae5ed65e74199c6848706466fab58ed9f999dc6a036dc2f14565e58ad3742a9c72eff134cffeced7ceba54b375c47bd9ea43164d898
Homepage: https://cran.r-project.org/package=APCtools
Description: CRAN Package 'APCtools' (Routines for Descriptive and Model-Based APC Analysis)
 Age-Period-Cohort (APC) analyses are used to differentiate relevant drivers
 for long-term developments.  The 'APCtools' package offers visualization
 techniques and general routines to simplify the workflow of an APC analysis.
 Sophisticated functions are available both for descriptive and regression
 model-based analyses.  For the former, we use density (or ridgeline)
 matrices and (hexagonally binned) heatmaps as innovative visualization
 techniques building on the concept of Lexis diagrams.  Model-based analyses
 build on the separation of the temporal dimensions based on generalized
 additive models, where a tensor product interaction surface (usually between
 age and period) is utilized to represent the third dimension (usually
 cohort) on its diagonal.  Such tensor product surfaces can also be estimated
 while accounting for further covariates in the regression model.  See
 Weigert et al. (2021) <doi:10.1177/1354816620987198> for methodological
 details.

Package: r-cran-apdesign
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apdesign_1.0.0-1.ca2004.1_all.deb
Size: 22092
MD5sum: 867bffce57ec9f3c8e83eb02d019e921
SHA1: f6cf2288e7d10d4c7026ce43fdc3791855a826c5
SHA256: dcb1368b6a3eda851586d9618dfbd4b84086dd1bb41fd61b8530b6236892a890
SHA512: 555028bdb61d421f0f86a7bc04d9d53e160cf80094f53644d71986e6a75f0fe9299b46060b74cf92918a152bfde77578596c6e54ad4bef9f4f69316309fb8635
Homepage: https://cran.r-project.org/package=apdesign
Description: CRAN Package 'apdesign' (An Implementation of the Additive Polynomial Design Matrix)
 An implementation of the additive polynomial (AP) design matrix. It
 constructs and appends an AP design matrix to a data frame for use with
 longitudinal data subject to seasonality.

Package: r-cran-apear
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arules, r-cran-bayesbio, r-cran-data.table, r-cran-dplyr, r-cran-igraph, r-cran-lsa, r-cran-mcl, r-cran-reshape2, r-cran-tibble, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggforce
Suggests: r-cran-spectrum, r-bioc-clusterprofiler, r-cran-gprofiler2, r-bioc-dose, r-bioc-org.hs.eg.db, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-apear_1.0.0-1.ca2004.1_all.deb
Size: 589716
MD5sum: 8c8b904556733191d7ec2a315d5dac37
SHA1: b95bd0c997a5b85afa6b70a132f2b9f2dc787e09
SHA256: 7bbcc4953044e40c358d7e0f5dcda773284780de639f0fd5f0fae845cca4baa0
SHA512: 11527b2aef660da6faf10e79b9e1d572c7f007e68df66e2e6270316aaacde71bf8b6b83e6d3178e7b1973c316a116e60826bf7872dad888802bfe6b0f222a7d2
Homepage: https://cran.r-project.org/package=aPEAR
Description: CRAN Package 'aPEAR' (Advanced Pathway Enrichment Analysis Representation)
 Simplify pathway enrichment analysis results by detecting clusters of
 similar pathways and visualizing it as an enrichment network, where nodes
 and edges describe the pathways and similarity between them, respectively.
 This reduces the redundancy of the overlapping pathways and helps to notice
 the most important biological themes in the data (Kerseviciute and
 Gordevicius (2023) <doi:10.1101/2023.03.28.534514>).

Package: r-cran-apercu
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pls
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apercu_0.2.5-1.ca2004.1_all.deb
Size: 27400
MD5sum: 3a427ea4ffb59315d2657ce1ebf55ce8
SHA1: 575492ff0f1bc65eb56d378fd961d5099d7adcb1
SHA256: a1b4cd8e3263042704dadf6f04e7f4dc780f2c6a6d998205a684f424e8f8dbcc
SHA512: c6ed2bbc22ee689c876fa9f514de4e0be38f31441aa4e32b4c17715099221b9861c68d20d2270adb140c602ad894031b6590ecf02a6d0e9f137fbcbe2b83f75e
Homepage: https://cran.r-project.org/package=apercu
Description: CRAN Package 'apercu' (Quick Look at your Data)
 The goal is to print an "aperçu", a short view of a vector, a matrix, a
 data.frame, a list or an array. By default, it prints the first 5 elements
 of each dimension. By default, the number of columns is equal to the number
 of lines. If you want to control the selection of the elements, you can pass
 a list, with each element being a vector giving the selection for each
 dimension.

Package: r-cran-apex
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-phangorn, r-cran-adegenet
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-apex_1.0.6-1.ca2004.1_all.deb
Size: 649084
MD5sum: ccc17cfb56a5c59e8daa0cbb71d7ad17
SHA1: d001ac3d9aee88ddda8ab9ba604305180e6db5c3
SHA256: cd1aa44e0803228d6876cdd3a57803d46ef045d42d6e62bfde52854a20958bac
SHA512: a148db895613ee1b0cf81f32ba8f3e472856656c0806b2fb9678082af55477e89b0088ebf31b1f972aacc663c328b7d9609608becb5048522cabfab48787b8e3
Homepage: https://cran.r-project.org/package=apex
Description: CRAN Package 'apex' (Phylogenetic Methods for Multiple Gene Data)
 Toolkit for the analysis of multiple gene data (Jombart et al. 2017)
 <doi:10.1111/1755-0998.12567>.  'apex' implements the new S4 classes
 'multidna', 'multiphyDat' and associated methods to handle aligned DNA
 sequences from multiple genes.

Package: r-cran-apexcharter
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2076
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-magrittr, r-cran-rlang, r-cran-ggplot2, r-cran-jsonlite, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-scales, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-apexcharter_0.4.4-1.ca2004.1_all.deb
Size: 608240
MD5sum: b0fb6ec274a325d9021027b9a87717fa
SHA1: 76c041042bfe188f792483c58071777a4ed8eeed
SHA256: 7007570d2c45cdecd524d46cdbc49cd9c4df7d77c221fd24f8325980a03a3b89
SHA512: 159036577cd6b19bb94f6b04ad6d35739925bbbec221792437df9e5454e40cc912dca659a87cf5a8883beafae07340c4378471adb7ab69e3bf9fda7f7f53a7f6
Homepage: https://cran.r-project.org/package=apexcharter
Description: CRAN Package 'apexcharter' (Create Interactive Chart with the JavaScript 'ApexCharts'Library)
 Provides an 'htmlwidgets' interface to 'apexcharts.js'.  'Apexcharts' is a
 modern JavaScript charting library to build interactive charts and
 visualizations with simple API.  'Apexcharts' examples and documentation are
 available here: <https://apexcharts.com/>.

Package: r-cran-apfr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-apfr_1.0.2-1.ca2004.1_all.deb
Size: 61900
MD5sum: 6364826d8f2381b9aade9a919e44abb5
SHA1: df13155964065feb0da4d6743aa17b58795bfdc5
SHA256: cfae3fa081a9790d78a0e75f6353bc259dbc54b742576425cfb87530859b042c
SHA512: 8123402f1a85937ecea11bfa216ba407a64c233b90d42015103430736f0229d542ef4c44353bc9dbb95c2995723854d365433e3aca050a14a70b2507ba47938a
Homepage: https://cran.r-project.org/package=APFr
Description: CRAN Package 'APFr' (Multiple Testing Approach using Average Power Function (APF) andBayes FDR Robust Estimation)
 Implements a multiple testing approach to the choice of a threshold gamma on
 the p-values using the Average Power Function (APF) and Bayes False
 Discovery Rate (FDR) robust estimation. Function apf_fdr() estimates both
 quantities from either raw data or p-values. Function apf_plot() produces
 smooth graphs and tables of the relevant results. Details of the methods can
 be found in Quatto P, Margaritella N, et al. (2019)
 <doi:10.1177/0962280219844288>.

Package: r-cran-apfun
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-raster, r-cran-rgdal, r-cran-maptools, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apfun_0.1.6-1.ca2004.1_all.deb
Size: 43880
MD5sum: c91e4d55b636adf3dcbe23839cbbab77
SHA1: f690ad9718fd67f98b8fef208add44226a0a67ee
SHA256: 8c17417aa7b074b77f61eea6ea70fb1b3f8686ff23d4183e2429b290c100b787
SHA512: db6e8e46535ddb0d64c339cdd7328aab0bad3d3479fdc8910535ae7c18692f93984fa14707265bffe2920450a9b16a2a8eb7cd52b36751b21db7d83dd7a5caea
Homepage: https://cran.r-project.org/package=APfun
Description: CRAN Package 'APfun' (Geo-Processing Helper Functions)
 Helper tools for facilitating basic geo-processing tasks, such as
 reading/writing Shapefiles, merging polygons or generating terrain contours.

Package: r-cran-api2lm
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-api2lm_0.2-1.ca2004.1_all.deb
Size: 283840
MD5sum: 546dbcdde9325da9f975e8fac860e857
SHA1: 0b5342b7d687b311b0119ccc7dcc3761ec219761
SHA256: 2a08e4fa6f08ac59adb8621f4c8c1ffff4aeb90f7df389ff2a3baf54211d0eab
SHA512: a8486912cb19896993f15b8dd7a4ca1c9deb1d1acf53d32c3e1db71fc480b522e863e76ff0124cd89836ea08db7c14158adc3fb17622662c48247e97bb0c2c99
Homepage: https://cran.r-project.org/package=api2lm
Description: CRAN Package 'api2lm' (Functions and Data Sets for the Book "A Progressive Introductionto Linear Models")
 Simplifies aspects of linear regression analysis, particularly simultaneous
 inference. Additionally, supports "A Progressive Introduction to Linear
 Models" by Joshua French (<https://jfrench.github.io/LinearRegression/>).

Package: r-cran-apisensr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-episensr, r-cran-ggplot2, r-cran-attempt, r-cran-config, r-cran-ggraph, r-cran-glue, r-cran-golem, r-cran-htmltools, r-cran-igraph, r-cran-rhandsontable, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjs, r-cran-shinymaterial
Suggests: r-cran-knitr, r-cran-rlang, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apisensr_2.0.0-1.ca2004.1_all.deb
Size: 185712
MD5sum: 59b5e6b05fdeadefc33b7856401634c5
SHA1: f87ff463b79e6c0feab417a0a17f05d550254f91
SHA256: b7603bbaf961557106ba7191d39f240c01825565dc4068499bffae0d46ecd36b
SHA512: 888eca01a6d84d42b5954bc5a0faeb057b3fa75aea7181486de66becc76b935d40c54a2c2a53212aeea55f4c22242f578188e42aa56010b89baed8ae79fc9dd5
Homepage: https://cran.r-project.org/package=apisensr
Description: CRAN Package 'apisensr' (Interface to 'episensr' for Sensitivity Analysis ofEpidemiological Results)
 API for using 'episensr', Basic sensitivity analysis of the observed
 relative risks adjusting for unmeasured confounding and misclassification of
 the exposure/outcome, or both. See
 <https://cran.r-project.org/package=episensr>.

Package: r-cran-aplore3
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-mass, r-cran-vcdextra, r-cran-nnet, r-cran-survival, r-cran-proc
Filename: pool/dists/focal/main/r-cran-aplore3_0.9-1.ca2004.1_all.deb
Size: 450260
MD5sum: 31b2738f9f3e69c446bfcac230733a5e
SHA1: 3830e3c0fbd29a2a034ad3847854b243137760e9
SHA256: 44e4d550673c08ee7b50446023bd51764ed1bd48f84066c4428e3b2734170ccf
SHA512: f4b1deb31e400e97109d1aa977e307732914ce9d1ddcc5de950d5406d4c4fe0c828fb5dbedf4219c3bb50b18c92e25e9bbb5327bdd1e516ec2261c1782989f27
Homepage: https://cran.r-project.org/package=aplore3
Description: CRAN Package 'aplore3' (Datasets from Hosmer, Lemeshow and Sturdivant, "Applied LogisticRegression" (3rd Ed., 2013))
 An unofficial companion to "Applied Logistic Regression" by D.W. Hosmer, S.
 Lemeshow and R.X. Sturdivant (3rd ed., 2013) containing the dataset used in
 the book.

Package: r-cran-aplot
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggfun, r-cran-ggplot2, r-cran-ggplotify, r-cran-patchwork, r-cran-magrittr, r-cran-yulab.utils
Suggests: r-bioc-ggtree
Filename: pool/dists/focal/main/r-cran-aplot_0.2.7-1.ca2004.1_all.deb
Size: 103020
MD5sum: 5cfedefa311a9fdcd20e973af9dac6cf
SHA1: f919d9bbf9c2db714e2ff55403bcde32f85ce5f5
SHA256: 54c7879977a40d204d2cd1e7d1cef898928c4f7f979b76d370800b7a5aff126b
SHA512: 0da961e2ff56d2ac8c4b4d371f33b930e9d5d5c2db118dd3e6cc707a725d9ae9afe85f00cac6fd7eaefde9f9312c80f1b4f50803e126be18972bcf254c585ce2
Homepage: https://cran.r-project.org/package=aplot
Description: CRAN Package 'aplot' (Decorate a 'ggplot' with Associated Information)
 For many times, we are not just aligning plots as what 'cowplot' and
 'patchwork' did. Users would like to align associated information that
 requires axes to be exactly matched in subplots, e.g. hierarchical
 clustering with a heatmap. Inspired by the 'Method 2' in 'ggtree' (G Yu
 (2018) <doi:10.1093/molbev/msy194>), 'aplot' provides utilities to aligns
 associated subplots to a main plot at different sides (left, right, top and
 bottom) with axes exactly matched.

Package: r-cran-aplotextra
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-aplot, r-cran-dplyr, r-cran-forcats, r-cran-ggfun, r-cran-ggplot2, r-bioc-maftools, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-ggstar, r-cran-yulab.utils
Suggests: r-bioc-ggtree, r-cran-data.table, r-cran-rcolorbrewer, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-aplotextra_0.0.4-1.ca2004.1_all.deb
Size: 69636
MD5sum: 394e08f4b045370c0e4aa21bddc584d4
SHA1: f5e881682b759bfd11db53deff3e14805788a24c
SHA256: 66ed0603df3f66b80955266a364ff88b1d2616eab4eec3537b7b1f8bc0eef577
SHA512: df00fc5c72aeec86ac3d44623b5489321dc91507f7aeb4da4c2d9367dabe6eb44d36c9bd73af1c8d9bb437b86394657a587a895c5796f85435f0a885d436dd69
Homepage: https://cran.r-project.org/package=aplotExtra
Description: CRAN Package 'aplotExtra' (Creating Composite Plots using 'aplot')
 Many complex plots are actually composite plots, such as 'oncoplot',
 'funkyheatmap', 'upsetplot', etc. We can produce subplots using 'ggplot2'
 and combine them to create composite plots using 'aplot'. In this way, it is
 easy to customize these complex plots, by adding, deleting or modifying
 subplots in the final plot. This package provides a set of utilities to help
 users to create subplots and complex plots.

Package: r-cran-aplpack
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4374
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tkrplot, r-cran-jpeg, r-cran-png
Filename: pool/dists/focal/main/r-cran-aplpack_1.3.5-1.ca2004.1_all.deb
Size: 3523612
MD5sum: 59d0daa1f024a115eaf5beab8aded446
SHA1: 1ae28d34b4d6e236d7f5e5185f04b1a6fc58d083
SHA256: 4a860771d36a40af33787952c4f6edae5e98e8cf910f12ce5b52a656120fbc54
SHA512: cc3b6272431d85f38db997bb354846cd574246bbcee593fcedfb4c4a5ac7402330f1a816153bc0a2e23ca2610efb00ba6fb684522f947be5ce3b51640feee517
Homepage: https://cran.r-project.org/package=aplpack
Description: CRAN Package 'aplpack' (Another Plot Package: 'Bagplots', 'Iconplots', 'Summaryplots',Slider Functions and Others)
 Some functions for drawing some special plots: The function 'bagplot' plots
 a bagplot, 'faces' plots chernoff faces, 'iconplot' plots a representation
 of a frequency table or a data matrix, 'plothulls' plots hulls of a
 bivariate data set, 'plotsummary' plots a graphical summary of a data set,
 'puticon' adds icons to a plot, 'skyline.hist' combines several histograms
 of a one dimensional data set in one plot, 'slider' functions supports some
 interactive graphics, 'spin3R' helps an inspection of a 3-dim point cloud,
 'stem.leaf' plots a stem and leaf plot, 'stem.leaf.backback' plots
 back-to-back versions of stem and leaf plot.

Package: r-cran-apm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggh4x, r-cran-ggrepel, r-cran-mass, r-cran-sandwich, r-cran-pbapply, r-cran-fwb, r-cran-chk
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-apm_0.1.1-1.ca2004.1_all.deb
Size: 497996
MD5sum: 6ef720d6d153f102eab4f87bc168a4cb
SHA1: 634f583b0f8c71fc2321a3937a8706bb4802233c
SHA256: a9ed11efb969d602a31ab4e0dcfe16e1fc18aced9f3431389de6fa4794d8d9c4
SHA512: 7c7dc1f8bde6d816b179ea2e57b3dc2a03b4c98a6e0b0f175ce8ce0062b59c11a8c087251bad0bf43cf6170b4aab2b7f8319d4062f442979efdada723c24ee37
Homepage: https://cran.r-project.org/package=apm
Description: CRAN Package 'apm' (Averaged Prediction Models)
 In panel data settings, specifies set of candidate models, fits them to data
 from pre-treatment validation periods, and selects model as average over
 candidate models, weighting each by posterior probability of being most
 robust given its differential average prediction errors in pre-treatment
 validation periods. Subsequent estimation and inference of causal effect's
 bounds accounts for both model and sampling uncertainty, and calculates the
 robustness changepoint value at which bounds go from excluding to including
 0. The package also includes a range of diagnostic plots, such as those
 illustrating models' differential average prediction errors and the
 posterior distribution of which model is most robust.

Package: r-cran-apml
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-h2o, r-cran-performanceestimation, r-cran-fastdummies, r-cran-dplyr, r-cran-ggplot2, r-cran-proc
Filename: pool/dists/focal/main/r-cran-apml_0.0.5-1.ca2004.1_all.deb
Size: 45808
MD5sum: 35d4650c101ee50375c09be41e213564
SHA1: be740e5b435bd756ab65a0af372fc05b9d7b87e3
SHA256: d45503bed04edd6f7147a07b0a934cf47e42829a2fef42a60de55d0079e7e742
SHA512: 52af75b0cc2a29c23816ee8138a16b5f3b9d47879b75db5fcd23d378617891469dcf7e573318242cb0eb4cfb8d285a9855fefecacf2ca58f1dd76d1691e28f45
Homepage: https://cran.r-project.org/package=APML
Description: CRAN Package 'APML' (An Approach for Machine-Learning Modelling)
 We include 1) data cleaning including variable scaling, missing values and
 unbalanced variables identification and removing, and strategies for
 variable balance improving; 2) modeling based on random forest and gradient
 boosted model including feature selection, model training, cross-validation
 and external testing.  For more information, please see Deng X (2021).
 <doi:10.1016/j.scitotenv.2020.144746>; H2O.ai (Oct. 2016). R Interface for
 H2O, R package version 3.10.0.8. <https://github.com/h2oai/h2o-3>; Zhang W
 (2016). <doi:10.1016/j.scitotenv.2016.02.023>.

Package: r-cran-apmx
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-this.path, r-cran-flextable, r-cran-officer, r-cran-tidyselect, r-cran-arsenal
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-apmx_1.1.1-1.ca2004.1_all.deb
Size: 245036
MD5sum: 60479441a2de01baf16b7f2566d9e089
SHA1: fb950e36ef16a064020aa0d299f263c2f2acde3f
SHA256: 15b28ad12ec3927997ab321775184de02ae9a86f7fb45e72e17ed970cb7e98ef
SHA512: 0e75d52d2406c9c99e00a21245d249153bc6b1327e1b2d7347ac67fe1daaff86f91ad16c82bb69952f9a906214001168aad46508fcb63244474243117b3e8834
Homepage: https://cran.r-project.org/package=apmx
Description: CRAN Package 'apmx' (Automated Population Pharmacokinetic Dataset Assembly)
 Automated methods to assemble population PK (pharmacokinetic) and PKPD
 (pharmacodynamic) datasets for analysis in 'NONMEM' (non-linear mixed
 effects modeling) by Bauer (2019) <doi:10.1002/psp4.12404>. The package
 includes functions to build datasets from SDTM (study data tabulation
 module) <https://www.cdisc.org/standards/foundational/sdtm>, ADaM (analysis
 dataset module) <https://www.cdisc.org/standards/foundational/adam>, or
 other dataset formats. The package will combine population datasets, add
 covariates, and create documentation to support regulatory submission and
 internal communication.

Package: r-cran-apng
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops
Filename: pool/dists/focal/main/r-cran-apng_1.1-1.ca2004.1_all.deb
Size: 46656
MD5sum: 6dac6870c2b9d1f4dd9fa92beb0f3b10
SHA1: 438046da198a75717c6ca100692b877cff9eb9fe
SHA256: 2962e09856242eda31be4a323b8574d24bdab61d47e7060a97d0d0f1f87482b6
SHA512: 8e35631d147535f1a8322793778584d70700917cf8b66aa6d14599fe75f717057e819a0e1f37656e5f8fa6bb18860f8035a399fdd4a91f1072fba8f6ae9336ef
Homepage: https://cran.r-project.org/package=apng
Description: CRAN Package 'apng' (Convert Png Files into Animated Png)
 Convert several png files into an animated png file.  This package exports
 only a single function `apng'. Call the apng function with a vector of file
 names (which should be png files) to convert them to a single animated png
 file.

Package: r-cran-appeears
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 748
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-keyring, r-cran-memoise, r-cran-getpass, r-cran-r6, r-cran-sf, r-cran-jsonlite, r-cran-geojsonio, r-cran-rstudioapi
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-terra, r-cran-ncdf4, r-cran-knitr, r-cran-rlang, r-cran-dplyr, r-cran-ggplot2, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-appeears_1.1-1.ca2004.1_all.deb
Size: 333656
MD5sum: dca7056d28bed8287bbeff2842533e7e
SHA1: a38d98688f51e2c621bf84a6c6fcfb67c355e6c0
SHA256: e106c1f21937dd99e6b9f0da089faae974c8cf2676a0f993a1494ba2e7beccae
SHA512: e3120a4c1427a1e9c6086e3498e8864fe3d006fbb36b7df11c581fba2127d3787c053badc672c7b4dd4626afc0f7c5b8f770427ed2cffe4ea15f13853d07a6cc
Homepage: https://cran.r-project.org/package=appeears
Description: CRAN Package 'appeears' (Interface to 'AppEEARS' NASA Web Services)
 Programmatic interface to the NASA Application for Extracting and Exploring
 Analysis Ready Samples services (AppEEARS;
 <https://appeears.earthdatacloud.nasa.gov/>).  The package provides easy
 access to analysis ready earth observation data in R.

Package: r-cran-appestimation
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-densratio
Filename: pool/dists/focal/main/r-cran-appestimation_0.1.1-1.ca2004.1_all.deb
Size: 36356
MD5sum: 98b8bb853afae085dfce6a46d4ea166f
SHA1: 8702c41a5711c29b270a5ea8eb048888f258ceae
SHA256: ed758f7d860a5755cd5e668c3f2637aeee5bdac83fb24e6872f0d1eaca88c9ae
SHA512: 841c4b4905e751fc7a30fc8c618b2c25d732a2939515db68920d97fa7a549b3ddec1f0d10959f5957f7b6b4eadf270bdc770a2dfc75001ac0dfb000bfe000ac8
Homepage: https://cran.r-project.org/package=APPEstimation
Description: CRAN Package 'APPEstimation' (Adjusted Prediction Model Performance Estimation)
 Calculating predictive model performance measures adjusted for predictor
 distributions using density ratio method (Sugiyama et al., (2012,
 ISBN:9781139035613)). L1 and L2 error for continuous outcome and
 C-statistics for binomial outcome are computed.

Package: r-cran-appleadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-appleadsr_0.1.0-1.ca2004.1_all.deb
Size: 22220
MD5sum: ea240210044b5e642c7f9bff292fa904
SHA1: 98de7700f116c1dc9710997d1374787c35cd1ab8
SHA256: 6647a7b709e55813a79f41bff50a042a5381d9620c8dbd9918df49541f4ca27f
SHA512: e3e6cb9c4ecad1f8c9de764b009400fcb9c66d561dfc3e57cede2d868e4ec9d37d0a748326803c9585eb9ae3685ded096f8ce6fbb91eaaf9449a4623051e4ce7
Homepage: https://cran.r-project.org/package=appleadsR
Description: CRAN Package 'appleadsR' (Get Apple Search Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Apple Search Ads using
 the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-appler
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rvest
Suggests: r-cran-testthat, r-cran-curl, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-appler_0.2.1-1.ca2004.1_all.deb
Size: 580148
MD5sum: b3b09af7117134411f2a75a5584e0d0e
SHA1: 21d6f37fad7d4a7e5190e624db929667e77bebb0
SHA256: ffa4fc78e1e5886cec0483b76ce785216342e1325e255cdadfe82357c85d40ae
SHA512: 75842f844fce188e9cad7b4f1e025ebe7b8a99e1d46f0bec3b0ba0f85f59cff985c4aad8253b834fac22cede10a4c9d1653adce76444c9d4dc75a922689c13a7
Homepage: https://cran.r-project.org/package=appler
Description: CRAN Package 'appler' ('Apple App Store' and 'iTunes' Data Extraction)
 Using 'Apple App Store' <https://www.apple.com/app-store/> web scraping and
 'iTunes' API <https://performance-partners.apple.com/search-api> to extract
 content information, app ratings and reviews.

Package: r-cran-applicable
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-glue, r-cran-hardhat, r-cran-matrix, r-cran-proxyc, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-isotree, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-applicable_0.1.1-1.ca2004.1_all.deb
Size: 381704
MD5sum: f65bb336d5852c72969c6735ecff6c08
SHA1: 3c0c9a47703e516443fbbfb3fac3559b537769b1
SHA256: 74d1569c6ec7b83be5228c9863b6a30eb7a8040f87b5f905264d2aa6a65c4fb7
SHA512: 3d7d4b5f53c2bffddd8a6b3d75ba587a574e0a015634a87e944905b22a0b3188b9475cb01dc69a9e5fe4dc3cf2c4361ef1ed16bbda7baa09de2fe7e275d13026
Homepage: https://cran.r-project.org/package=applicable
Description: CRAN Package 'applicable' (A Compilation of Applicability Domain Methods)
 A modeling package compiling applicability domain methods in R. It combines
 different methods to measure the amount of extrapolation new samples can
 have from the training set. See Gadaleta et al (2016)
 <doi:10.4018/IJQSPR.2016010102> for an overview of applicability domains.

Package: r-cran-appliedpredictivemodeling
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1951
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corelearn, r-cran-mass, r-cran-plyr, r-cran-reshape2, r-cran-lattice, r-cran-ellipse
Suggests: r-cran-caret
Filename: pool/dists/focal/main/r-cran-appliedpredictivemodeling_1.1-7-1.ca2004.1_all.deb
Size: 1262848
MD5sum: 5ea0992e5a19e1b2da84a12554aabd68
SHA1: 279f84add014c14330d8dd9748454c22e1130af3
SHA256: 3f6f8c179f4105ad23262e822e114a1eb80c6572bc24deab80031b3e3ee6a0da
SHA512: 8bc91a0c53c457b572473e9b6eeb46d97c568980624beab54620e400e837dd36b54c0554619f47c7bd9c490eb9b53214634a84b11ba99ebe770d9b44bff86f52
Homepage: https://cran.r-project.org/package=AppliedPredictiveModeling
Description: CRAN Package 'AppliedPredictiveModeling' (Functions and Data Sets for 'Applied Predictive Modeling')
 A few functions and several data set for the Springer book 'Applied
 Predictive Modeling'.

Package: r-cran-applypolygenicscore
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vcfr, r-cran-proc, r-cran-data.table, r-cran-reshape2, r-cran-boutroslab.plotting.general, r-cran-lattice
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-applypolygenicscore_3.0.1-1.ca2004.1_all.deb
Size: 2170064
MD5sum: a0630ea03f36feaa84fc2c663037ff76
SHA1: a75c780a071420720fe086a8c5d3e44a52b1d6fc
SHA256: 490da9f32da2d6004a0c823a3436dd74a8d774f5cf04da906fff6edc096152e3
SHA512: 28c262c36abc945f500bf119b069cc18fed18cefa885e764cc574629b825fb3d5e4d77de2ed218cfb4b0f3d49894679880322516f035221ec831771ed2a4bad2
Homepage: https://cran.r-project.org/package=ApplyPolygenicScore
Description: CRAN Package 'ApplyPolygenicScore' (Utilities for the Application of a Polygenic Score to a VCF)
 Simple and transparent parsing of genotype/dosage data from an input Variant
 Call Format (VCF) file, matching of genotype coordinates to the component
 Single Nucleotide Polymorphisms (SNPs) of an existing polygenic score (PGS),
 and application of SNP weights to dosages for the calculation of a polygenic
 score for each individual in accordance with the additive weighted sum of
 dosages model. Methods are designed in reference to best practices described
 by Collister, Liu, and Clifton (2022) <doi:10.3389/fgene.2022.818574>.

Package: r-cran-appnn
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-appnn_1.0-1-1.ca2004.1_all.deb
Size: 48412
MD5sum: fafaec4af5197e315fc663ae74302b61
SHA1: 7a3fc24ccc0d2f40d528e1fb51f0f48df14b95c4
SHA256: 6362ff2a2dc686da595bd843939751287817099de27da395220ec9409c0d371f
SHA512: 6f24dec80db47b0bfcc40011cf6e47752b416fab17fdb855ef1059ae210fa62a52012ebdb91a9d2f8c1567bcf9f88d4363ff734e07df654c926ed4fcf14e4529
Homepage: https://cran.r-project.org/package=appnn
Description: CRAN Package 'appnn' (Amyloid Propensity Prediction Neural Network)
 Amyloid propensity prediction neural network (APPNN) is an amyloidogenicity
 propensity predictor based on a machine learning approach through recursive
 feature selection and feed-forward neural networks, taking advantage of
 newly published sequences with experimental, in vitro, evidence of amyloid
 formation.

Package: r-cran-apportion
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apportion_0.0.1-1.ca2004.1_all.deb
Size: 60484
MD5sum: 5e57bb3d5b8c0d269028c0ef72ccb36b
SHA1: 82d06435a03154ec74194a1539786d5072bb9b03
SHA256: 4fcbf6b364b5303b04b2cf2aa119bf80ad1e4bb49417757ff5a371bfe52f1fc3
SHA512: 1695dafaaafc71aed646aa8dbb4040928c9c68bd8c2405664a6639ec7ba934ad2857c0d49cbaa4fd5c70bbb6ac7a356fd7dd76d69b31f00b0f6c2e75f984163f
Homepage: https://cran.r-project.org/package=apportion
Description: CRAN Package 'apportion' (Apportion Seats)
 Convert populations into integer number of seats for legislative bodies.
 Implements apportionment methods used historically and currently in the
 United States for reapportionment after the Census, as described in
 <https://www.census.gov/history/www/reference/apportionment/methods_of_apportionment.html>.

Package: r-cran-appriori
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2722
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-hypr, r-cran-markdown, r-cran-mass, r-cran-pracma, r-cran-rhandsontable, r-cran-shiny, r-cran-shinythemes, r-cran-sortable, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-appriori_0.0.6-1.ca2004.1_all.deb
Size: 1336864
MD5sum: e362313f954af344306f0a9d53e705f5
SHA1: 0fcd58e8bf3d398c3e83e949c80b012960e8df80
SHA256: 0dec75fffc265f97968558b4761cd3f07d5906dfaed0e27ddfbc0d6870af6755
SHA512: 351e8817f48ded0e7ee5c013660b8f3589bdf99f58bf05ea3c9a6f3ed6ec22dc4df7350c8227f3bdb95fe4c24e3cfffd1e7db0405d39a01b4d8917cdf4332d98
Homepage: https://cran.r-project.org/package=appRiori
Description: CRAN Package 'appRiori' (Code and Obtain Customized Planned Comparisons with 'appRiori')
 With 'appRiori' <doi:10.1177/25152459241293110>, users upload the research
 variables and the app guides them to the best set of comparisons fitting the
 hypotheses, for both main and interaction effects. Through a graphical
 explanation and empirical examples on reproducible data, it is shown that it
 is possible to understand both the logic behind the planned comparisons and
 the way to interpret them when a model is tested.

Package: r-cran-approximator
Architecture: all
Version: 1.2-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-emulator, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-approximator_1.2-8-1.ca2004.1_all.deb
Size: 166572
MD5sum: 6c047ea4aaebe466b1ee2d42a0c79571
SHA1: 6297a8f3333fb5a3adc3cfc03de876d4bd29fa64
SHA256: fd8a8ac8ae2732ebf768a2e342990cfb49502f483a1d0593be6f4cc8db582d4a
SHA512: c1ecda222f1b5382547e6802cafa86d57d8f38f01c3aa85087cc1c509719c75e0fdacc14b19e9a408ddb3a7ad4c6d2727ac36f6ac8eb72fa125cb6090a734e00
Homepage: https://cran.r-project.org/package=approximator
Description: CRAN Package 'approximator' (Bayesian Prediction of Complex Computer Codes)
 Performs Bayesian prediction of complex computer codes when fast
 approximations are available.  It uses a hierarchical version of the
 Gaussian process, originally proposed by Kennedy and O'Hagan (2000),
 Biometrika 87(1):1.

Package: r-cran-approxmatch
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-optmatch, r-cran-mass
Filename: pool/dists/focal/main/r-cran-approxmatch_2.0-1.ca2004.1_all.deb
Size: 144852
MD5sum: 1fcc3e3112862f80a685fe9ee78a558b
SHA1: 3baf6c2bbb30b664ee08d4c179d784eab543f49c
SHA256: 738b579659bbf7b02c7140eeeeee66a6778514fbe58f023e7a305b316da45eeb
SHA512: fc41491f08f449a85e5eadd77ff8c904d1889514fea54300f36fff54bb77b16cce48ba9ee1343bdce5f356991f3aacc7463be02ab78f39e3ecfd9fe5b12bbbdf
Homepage: https://cran.r-project.org/package=approxmatch
Description: CRAN Package 'approxmatch' (Approximately Optimal Fine Balance Matching with Multiple Groups)
 Tools for constructing a matched design with multiple comparison groups.
 Further specifications of refined covariate balance restriction and exact
 match on covariate can be imposed. Matches are approximately optimal in the
 sense that the cost of the solution is at most twice the optimal cost, Crama
 and Spieksma (1992) <doi:10.1016/0377-2217(92)90078-N>, Karmakar, Small and
 Rosenbaum (2019) <doi:10.1080/10618600.2019.1584900>.

Package: r-cran-appsflyer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-appsflyer_0.1.0-1.ca2004.1_all.deb
Size: 22196
MD5sum: 84cc5fbf670f1867e20e38c2bcd96ca8
SHA1: 75546713346293b42f287f0d2d5d00b95ff5fc5d
SHA256: 4ed339891de55bbcf18f809aa9dc8c942d79a98bdcf187594de51de33fac8801
SHA512: 60669d43a4b01d2e60329645079eee27bd6072a8a246c8fc4c5c1859f7f0cef97c2da2ea0fc28d788a5af102b25928bd34afff3cc575d03a35d6b8742ae33002
Homepage: https://cran.r-project.org/package=appsflyeR
Description: CRAN Package 'appsflyeR' (Get Data from 'Appsflyer' via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Appsflyer' using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-appsheet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-appsheet_0.1.0-1.ca2004.1_all.deb
Size: 19780
MD5sum: 58c65b540c124610c8ca3118893736d8
SHA1: 6cb3eaeb74e2840f73f28d54e71dcb238cf9ad4b
SHA256: a507d03213679619470ebf85d3b183b17dc9b7cc8e60e11264d243c3f9b23e33
SHA512: a1f37e466437db0cc8cde2bccf5f2fee27364d6a04fc86a0d393ac878c54c025ba6dc5dee6b3321b7d2aeac0d08f8058fb73c49b0e390ac4dc306daed85f4ad0
Homepage: https://cran.r-project.org/package=appsheet
Description: CRAN Package 'appsheet' (An Interface to the 'AppSheet' API)
 Functionality to add, delete, read and update table records from your
 'AppSheet' apps, using the official API <https://api.appsheet.com/>.

Package: r-cran-aprean3
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aprean3_1.0.1-1.ca2004.1_all.deb
Size: 191996
MD5sum: 2135a7aa9834606b71501233cd314155
SHA1: 05da02a1f3f4950c0ae20e3cf82b562d47b2bd48
SHA256: 2339b78ae1b0aa7bdfa4eec60886c1a010381ff90b0779c11daacf5d6de4d2c3
SHA512: 0e6b44c0d723456000099205625e224c142a158815805da93a7b76626979e60f76fe410be5272423ff8e80e31e015280cd0b069f34578ef255b39b5ca2f044de
Homepage: https://cran.r-project.org/package=aprean3
Description: CRAN Package 'aprean3' (Datasets from Draper and Smith "Applied Regression Analysis"(3rd Ed., 1998))
 An unofficial companion to the textbook "Applied Regression Analysis" by
 N.R. Draper and H. Smith (3rd Ed., 1998) including all the accompanying
 datasets.

Package: r-cran-aprof
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aprof_0.4.1-1.ca2004.1_all.deb
Size: 58244
MD5sum: 95e3849213a72af1b251277029c86a41
SHA1: 366420b511bcb7d02237a507b066fac95e685797
SHA256: 387aec5dc70aeeb0a08ec20109ca767e48f36c9824c35a857286b20c716dcea5
SHA512: 5acbb13cf3d0b5af6d316916f97e8ecdea89ad34a3580cb895a709c74141a799d3704a8dffd22d6a30aa18d69d507678f118755bd27191dc344a7246d1b73687
Homepage: https://cran.r-project.org/package=aprof
Description: CRAN Package 'aprof' (Amdahl's Profiler, Directed Optimization Made Easy)
 Assists the evaluation of whether and where to focus code optimization,
 using Amdahl's law and visual aids based on line profiling. Amdahl's
 profiler organizes profiling output files (including memory profiling) in a
 visually appealing way.  It is meant to help to balance development vs.
 execution time by helping to identify the most promising sections of code to
 optimize and projecting potential gains. The package is an addition to R's
 standard profiling tools and is not a wrapper for them.

Package: r-cran-apsimbatch
Architecture: all
Version: 0.1.0.2374-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-apsimbatch_0.1.0.2374-1.ca2004.1_all.deb
Size: 38092
MD5sum: 23151fdfb9fc62788795db3a267c0190
SHA1: 1136db2d4064a210bb9dcaebc546a0303b41a349
SHA256: fb7636a737c9267b9fdec2375f17beb69b71ab2d6d3efe6cc87f5acaa6b36f50
SHA512: 5b71f0b750f0f7c81b0246d6b0f19dbf552faeb573775c048c0ac0e7d522adb3d6a4cdfc5bfa44498eba6885ee1525c12f89e3e802d8565399e4f696b6190429
Homepage: https://cran.r-project.org/package=APSIMBatch
Description: CRAN Package 'APSIMBatch' (Analysis the output of Apsim software)
 Run APSIM in Batch mode

Package: r-cran-apsimx
Architecture: all
Version: 2.8.235-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7043
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-jsonlite, r-cran-knitr, r-cran-rsqlite, r-cran-xml2
Suggests: r-cran-bayesiantools, r-cran-chirps, r-cran-daymetr, r-cran-future, r-cran-ggplot2, r-cran-gsodr, r-cran-listviewer, r-cran-maps, r-cran-metrica, r-cran-mvtnorm, r-cran-nasapower, r-cran-nloptr, r-cran-parallelly, r-cran-reactr, r-cran-rmarkdown, r-cran-sensitivity, r-cran-soildb, r-cran-sp, r-cran-spdata, r-cran-sf, r-cran-ucminf
Filename: pool/dists/focal/main/r-cran-apsimx_2.8.235-1.ca2004.1_all.deb
Size: 1476108
MD5sum: 3c223bfa3b84adf39522d54ef6567791
SHA1: 633c5bf49f640247a6985d831a151b731b22d0b1
SHA256: 93bbf760e353ade23af77427d2e37bc224fe86b58aac1778e95bcdeaf535548d
SHA512: b10dd71743cce5ace8f7e22596906c23c74306f98c79e8ebf5140ece781a32cb5f266e486a85b47cb291faab22f395d7a45615c8c8d9b91b8f7e0f2365c9fc55
Homepage: https://cran.r-project.org/package=apsimx
Description: CRAN Package 'apsimx' (Inspect, Read, Edit and Run 'APSIM' "Next Generation" and'APSIM' Classic)
 The functions in this package inspect, read, edit and run files for 'APSIM'
 "Next Generation" ('JSON') and 'APSIM' "Classic" ('XML'). The files with an
 'apsim' extension correspond to 'APSIM' Classic (7.x) - Windows only - and
 the ones with an 'apsimx' extension correspond to 'APSIM' "Next Generation".
 For more information about 'APSIM' see (<https://www.apsim.info/>) and for
 'APSIM' next generation (<https://apsimnextgeneration.netlify.app/>).

Package: r-cran-apt
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-erer, r-cran-car, r-cran-urca
Filename: pool/dists/focal/main/r-cran-apt_4.0-1.ca2004.1_all.deb
Size: 92308
MD5sum: a22bbca4646f2c2e6387807176f29d49
SHA1: 82c4cad33c0933ee38ae00fe64db385e80ae06ed
SHA256: 3c27317d9a00cbb1eef5168df07dac86fe8c59a5115a2dabfdeeca5cb1ce4d8c
SHA512: bfcf554e6968f24d08f0573254d73d41ab9dd0dab7e52d79105c36adc60247892dc16c6c4f268fd460a88b1a1664e0f07b2d39b8dfb71189312bed2dc94a9448
Homepage: https://cran.r-project.org/package=apt
Description: CRAN Package 'apt' (Asymmetric Price Transmission)
 The transmission between two time-series prices is assessed. It contains
 several functions for linear and nonlinear threshold co-integration, and
 furthermore, symmetric and asymmetric error correction models.

Package: r-cran-apticalc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-apticalc_0.1.0-1.ca2004.1_all.deb
Size: 28380
MD5sum: 9126293ed27ad7808dfdbe421bbbe965
SHA1: 5bb7743ad7f6d9244bf6e1e44b029336e93f0e8b
SHA256: 1a7b0129dea4b6c0c6f6f706ecf28403abdf1dff67e4e92173b792fe7ae3a4dd
SHA512: cea813b1f4e81b74086be36abba35451244724530f6da6758d6b3627bd733180b696d9d9bf54163a455a3cffd8432b104319c39f74d71a6944049c233e4977ae
Homepage: https://cran.r-project.org/package=APTIcalc
Description: CRAN Package 'APTIcalc' (Air Pollution Tolerance Index (APTI) Calculator)
 It calculates the Air Pollution Tolerance Index (APTI) of plant species
 using biochemical parameters such as chlorophyll content, leaf extract pH,
 relative water content, and ascorbic acid content. It helps in identifying
 tolerant species for greenbelt development and pollution mitigation studies.
 It includes a 'shiny' app for interactive APTI calculation and
 visualisation. For method details see, Sahu et al.
 (2020).<DOI:10.1007/s42452-020-3120-6>.

Package: r-cran-aptools
Architecture: all
Version: 6.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-cmprsk
Filename: pool/dists/focal/main/r-cran-aptools_6.8.8-1.ca2004.1_all.deb
Size: 75156
MD5sum: beb2d9c3b30ae4eed04cbfe011017e34
SHA1: 849e3fe8660c5b68456c7a4261e0d3bd2f1fdac8
SHA256: 7dd9c7766b0886c112d3fb269f32beec91406a94e41a56b6cd4bc0939b0352fa
SHA512: 3000231a30469c68c3115480d58e3854972b1cb6a0ca96b4b537990ed8a9ac27627207e5226c37c97d94d7fc699b7d1ad67bc3e4191b9612ec82daae6c2bd7d3
Homepage: https://cran.r-project.org/package=APtools
Description: CRAN Package 'APtools' (Average Positive Predictive Values (AP) for Binary Outcomes andCensored Event Times)
 We provide tools to estimate two prediction accuracy metrics, the average
 positive predictive values (AP) as well as the well-known AUC (the area
 under the receiver operator characteristic curve) for risk scores.  The
 outcome of interest is either binary or censored event time.  Note that for
 censored event time, our functions' estimates, the AP and the AUC, are
 time-dependent for pre-specified time interval(s). A function that compares
 the APs of two risk scores/markers is also included. Optional outputs
 include positive predictive values and true positive fractions at the
 specified marker cut-off values, and a plot of the time-dependent AP versus
 time (available for event time data).

Package: r-cran-aptreeshape
Architecture: all
Version: 1.5-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-quantreg, r-cran-cubature, r-cran-coda, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-aptreeshape_1.5-0.1-1.ca2004.1_all.deb
Size: 317248
MD5sum: aa27d65170549e9196e17bcd1560779e
SHA1: 1fff39c4d7514832558784317bf57acc0579263d
SHA256: cfd26f3e91c585f5b16eb91b9519edc4ffe7e0a9919cf834d47d61475ec2daea
SHA512: 5ccaaf0f3986d2fbe43f09fe97e4b95b4762e3f7c554878b1d88963b983d6362d58fafb8d4fdfe2633d89a655bd667fc506b16985b96c0575e17a1668704ab9f
Homepage: https://cran.r-project.org/package=apTreeshape
Description: CRAN Package 'apTreeshape' (Analyses of Phylogenetic Treeshape)
 Simulation and analysis of phylogenetic tree topologies using statistical
 indices. It is a companion library of the 'ape' package. It provides
 additional functions for reading, plotting, manipulating phylogenetic trees.
 It also offers convenient web-access to public databases, and enables
 testing null models of macroevolution using corrected test statistics.
 Trees of class "phylo" (from 'ape' package) can be converted easily.
 Implements methods described in Bortolussi et al. (2005)
 <doi:10.1093/bioinformatics/bti798> and Maliet et al. (2017)
 <doi:10.1101/224295>.

Package: r-cran-apyramid
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1081
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-tidyselect, r-cran-rlang, r-cran-forcats, r-cran-dplyr, r-cran-scales, r-cran-glue
Suggests: r-cran-testthat, r-cran-survey, r-cran-srvyr, r-cran-vdiffr, r-cran-covr, r-cran-outbreaks, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-apyramid_0.1.3-1.ca2004.1_all.deb
Size: 798020
MD5sum: 1a1451fc185f97b9d81493fef3fd2102
SHA1: 7c4307ced7423d72ff9a944a9663fdffeaf83027
SHA256: 59bb5d20ef51a1d30baf41f1da9892ffda9434d5eb2ad61e09c5a6b8e02e94c4
SHA512: df7aefd8e0622bcff420ad62185ced39db2e4f8aefb12976607af754596684dc0467e8a5c4167a94a63e77014cd149e8dc6a4d03a2160d0a5ec9d4e11bdcc205
Homepage: https://cran.r-project.org/package=apyramid
Description: CRAN Package 'apyramid' (Visualize Population Pyramids Aggregated by Age)
 Provides a quick method for visualizing non-aggregated line-list or
 aggregated census data stratified by age and one or two categorical
 variables (e.g. gender and health status) with any number of values. It
 returns a 'ggplot' object, allowing the user to further customize the
 output. This package is part of the 'R4Epis' project
 <https://r4epis.netlify.app/>.

Package: r-cran-aqeval
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1034
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openair, r-cran-dplyr, r-cran-loa, r-cran-ggplot2, r-cran-strucchange, r-cran-segmented, r-cran-mgcv, r-cran-tidyr, r-cran-lubridate, r-cran-purrr, r-cran-ggtext, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-aqeval_0.6.0-1.ca2004.1_all.deb
Size: 854764
MD5sum: 5ead73eae7895e865ba7e6215d3216bd
SHA1: cd6b567cc92b517f8c792d1eebb0f3ea5ba0b646
SHA256: 877dd8281d4364ec0cb33e30992756cc9b4a34976dff9a875e39113ae6bcb2f5
SHA512: b10fb950622fd1b05faf387f328c36111032d85c77109f3baee409288160ef0972ee23a9c9f70c3a337ee42c2ca39d0849b34ebcf405dd5d8a30a91e69f3d594
Homepage: https://cran.r-project.org/package=AQEval
Description: CRAN Package 'AQEval' (Air Quality Evaluation)
 Developed for use by those tasked with the routine detection,
 characterisation and quantification of discrete changes in air quality
 time-series, such as identifying the impacts of air quality policy
 interventions. The main functions use signal isolation then
 break-point/segment (BP/S) methods based on 'strucchange' and 'segmented'
 methods to detect and quantify change events (Ropkins & Tate, 2021,
 <doi:10.1016/j.scitotenv.2020.142374>).

Package: r-cran-aqfig
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geor
Suggests: r-cran-maps
Filename: pool/dists/focal/main/r-cran-aqfig_0.9-1.ca2004.1_all.deb
Size: 52596
MD5sum: 5a66ddc2f0371b46c49ece1c82e47c8d
SHA1: daa70f4994bc5ebd9fab6949a98c3fad73164419
SHA256: d5f521f0f0830ada37fabf0ba9c1a87144c0afc8af0d142117dfb63f91eca0ae
SHA512: 3f63c36a42c0c56d7af1a718735b67ad52626fcd43d340bc4d1c978ce30ad868534626585190616a0c63d889baa113696001f26544104e03617391a05f84caf0
Homepage: https://cran.r-project.org/package=aqfig
Description: CRAN Package 'aqfig' (Display Air Quality Model Output and Monitoring Data)
 Display air quality model output and monitoring data using scatterplots,
 grids, and legends.

Package: r-cran-aqlschemes
Architecture: all
Version: 1.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-aqlschemes_1.7-2-1.ca2004.1_all.deb
Size: 353776
MD5sum: b5cc17e0322849eed40a30a3e15a171a
SHA1: 11283fbbb15cd434563b291b3bad080ecade9c92
SHA256: 94c9dc5fdfffef2d7e24bce252afd8be310ac3f3d714e0468e530fc5d6d0d8dd
SHA512: bdad1e511c2a247512e516188133be1abd5d6157e577aedae75a50c5b9d6031c253c2bd4a6a0f05c5cd35ad2bb8ef7eb2b4a24f641f2bf2ae6a2ff859a9f0a42
Homepage: https://cran.r-project.org/package=AQLSchemes
Description: CRAN Package 'AQLSchemes' (Retrieving Acceptance Sampling Schemes)
 Functions are included for recalling AQL (Acceptable Quality Level or
 Acceptance Quality Level) Based single, double, and multiple attribute
 sampling plans from the Military Standard (MIL-STD-105E) - American National
 Standards Institute/American Society for Quality (ANSI/ASQ Z1.4) tables and
 for retrieving variable sampling plans from Military Standard (MIL-STD-414)
 - American National Standards Institute/American Society for Quality
 (ANSI/ASQ Z1.9) tables. The sources for these tables are listed in the URL:
 field. Also included are functions for computing the OC (Operating
 Characteristic) and ASN (Average Sample Number) coordinates for the
 attribute plans it recalls, and functions for computing the estimated
 proportion nonconforming and the maximum allowable proportion nonconforming
 for variable sampling plans. The MIL-STD AQL Sampling schemes were the most
 used and copied set of standards in the world. They are intended to be used
 for sampling a stream of lots, and were used in contract agreements between
 supplier and customer companies. When the US military dropped support of
 MIL-STD 105E and 414, The American National Standards Institute (ANSI) and
 the International Standards Organization (ISO) adopted the standard with few
 changes or no changes to the central tables. This package is useful because
 its computer implementation of these tables duplicates that available in
 other commercial software and subscription online calculators.

Package: r-cran-aqp
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-cluster, r-cran-stringr, r-cran-data.table, r-cran-farver, r-cran-digest, r-cran-colorspace, r-cran-ape
Suggests: r-cran-mvtnorm, r-cran-soildb, r-cran-sp, r-cran-sf, r-cran-latticeextra, r-cran-tactile, r-cran-compositions, r-cran-markovchain, r-cran-xtable, r-cran-testthat, r-cran-gmedian, r-cran-hmisc, r-cran-tibble, r-cran-rcolorbrewer, r-cran-scales, r-cran-mpspline2, r-cran-soiltexture, r-cran-gower, r-cran-knitr, r-cran-rmarkdown, r-cran-dendextend
Filename: pool/dists/focal/main/r-cran-aqp_2.2-1.ca2004.1_all.deb
Size: 4158100
MD5sum: ad8bbf4e34a124632826524a15d4386a
SHA1: a0241273d703ba62f22fac8299acd0045ce7d6db
SHA256: f33357efd81b43aed49a1a6a85baf5e50957168381bf558be4799c5dda5b6c54
SHA512: d145bc516dee519a1a0742f76fb84002b2ac7e1b22a9f4776b98835c0a6b8cea054b2a7b18357ba24a54b3bfc2a2fd093a476fa66ad14ef775de1f0777326113
Homepage: https://cran.r-project.org/package=aqp
Description: CRAN Package 'aqp' (Algorithms for Quantitative Pedology)
 The Algorithms for Quantitative Pedology (AQP) project was started in 2009
 to organize a loosely-related set of concepts and source code on the topic
 of soil profile visualization, aggregation, and classification into this
 package (aqp). Over the past 8 years, the project has grown into a suite of
 related R packages that enhance and simplify the quantitative analysis of
 soil profile data. Central to the AQP project is a new vocabulary of
 specialized functions and data structures that can accommodate the inherent
 complexity of soil profile information; freeing the scientist to focus on
 ideas rather than boilerplate data processing tasks
 <doi:10.1016/j.cageo.2012.10.020>. These functions and data structures have
 been extensively tested and documented, applied to projects involving
 hundreds of thousands of soil profiles, and deeply integrated into widely
 used tools such as SoilWeb
 <https://casoilresource.lawr.ucdavis.edu/soilweb-apps>. Components of the
 AQP project (aqp, soilDB, sharpshootR, soilReports packages) serve an
 important role in routine data analysis within the USDA-NRCS Soil Science
 Division. The AQP suite of R packages offer a convenient platform for
 bridging the gap between pedometric theory and practice.

Package: r-cran-aquaanalytix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aquaanalytix_0.1.0-1.ca2004.1_all.deb
Size: 34620
MD5sum: 547d0972542386c36f178e130bdb0086
SHA1: 108c3da038b023db6e6726deb55e8c7a7deca445
SHA256: 378a120f0b0a7d7230a7a5509331cc3c442175886ab8ca9a3123e1e4f60b1158
SHA512: 72b793b2ad740ddab691226e7a5db7552c361bb2298d6e3aa907e54777269af61ce235b23d60cbe629e2d911a606a6c7eb67d8ff79901ea9d07cffd325681ae5
Homepage: https://cran.r-project.org/package=AquaAnalytix
Description: CRAN Package 'AquaAnalytix' (Water Quality Analysis)
 A varied array of mathematical derivations from various titrimetric and
 colorimetric methods for analyzing water quality parameters were condensed
 and integrated for the better physicochemical analysis. It is indispensable
 for managing any aquatic ecosystem, including aquaculture facilities. By
 substituting titrant and spectrophotometric absorbance readings, accurate
 determination of the concentrations of critical parameters such as Dissolved
 Oxygen, Free Carbon Dioxide, Total Alkalinity, Water Hardness, Hydrogen
 Sulfide, Total Ammonia Nitrogen, Nitrite, Nitrate, Chlorinity, Salinity,
 Inorganic Phosphate, and Transparency can be facilitated
 APHA(2017,ISBN:9780875532875).

Package: r-cran-aquabeher
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4220
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-sp, r-cran-terra, r-cran-zoo
Suggests: r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-learnr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-scales, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aquabeher_1.4.0-1.ca2004.1_all.deb
Size: 3224808
MD5sum: 4569a255b9cf46a8c040c62cf21ae167
SHA1: 5b26bdef64bd4e8a144d9c02894fbb70fa436c00
SHA256: 934c371eb1b67562bc6e839c4530918d9c6b77abde7d2b8de51cd5873d1bce16
SHA512: 638734f1c6940db60c278f93a24038e79eda0c8195aa3d6b4be1cd1f4ed17aaf2cd70c27dc508da0c906df119c18dd7eb42f1b04f1cc1e25ae286a6d9d0c8d5a
Homepage: https://cran.r-project.org/package=AquaBEHER
Description: CRAN Package 'AquaBEHER' (Estimation and Prediction of Wet Season Calendar and Soil WaterBalance for Agriculture)
 Computes and integrates daily potential evapotranspiration (PET) and a soil
 water balance model. It allows users to estimate and predict the wet season
 calendar, including onset, cessation, and duration, based on an agroclimatic
 approach for a specified period. This functionality helps in managing
 agricultural water resources more effectively. For detailed methodologies,
 users can refer to Allen et al. (1998, ISBN:92-5-104219-5); Allen (2005,
 ISBN:9780784408056); Doorenbos and Pruitt (1975, ISBN:9251002797); Guo et
 al. (2016) <doi:10.1016/j.envsoft.2015.12.019>; Hargreaves and Samani (1985)
 <doi:10.13031/2013.26773>; Priestley and Taylor (1972)
 <https://journals.ametsoc.org/view/journals/apme/18/7/1520-0450_1979_018_0898_tptema_2_0_co_2.xml>.

Package: r-cran-aquabpsim
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matlib, r-cran-mass, r-cran-pedigree, r-cran-readxl
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-aquabpsim_0.0.1-1.ca2004.1_all.deb
Size: 149792
MD5sum: 2bccbe1846ed338db868d96a7539483d
SHA1: 36be54471fb52138aaf1233aca4d5efcb3da10ce
SHA256: e8e6823862e92be02c85df1af4c3c1451b1998794163139b9be6ec32943570da
SHA512: d63dde85bed64ce409bec8eeb6e5e82457a5f6b2729ef6dc65ba4555cd4685c942f6e9308a5e1246551123c16618e6ebabe49b5cc5ef3a26f0dc1614ecb0de26
Homepage: https://cran.r-project.org/package=AquaBPsim
Description: CRAN Package 'AquaBPsim' (Aquaculture Breeding Program Simulation)
 Breeding programs can be simulated with this package. The functions are
 written to simulate production and reproduction systems encountered in
 aquaculture and are easy to combine with custom functions. Simulating
 breeding programs is useful to predict the expected genetic gain, rate of
 inbreeding and the effect of changes in the breeding program. AquaBPsim does
 not simulate genome wide-markers and QTLs, but it simulates estimated
 breeding values as values correlated to the true breeding values. The
 correlation equals the accuracy, which can be provided or calculated using
 deterministic formulas. For genomic selection, the accuracy can be calculate
 using the formula of Deatwyler et al. (2010)
 <doi:10.1534/genetics.110.116855>. Without genomic selection, accuracy can
 be calculated with the selection index method (Mrode, 2014.
 ISBN:978-1-84593-981-6).

Package: r-cran-aquadtree
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4768
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-dplyr
Suggests: r-cran-sf, r-cran-knitr, r-cran-devtools, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aquadtree_1.0.4-1.ca2004.1_all.deb
Size: 4677316
MD5sum: 5bfbd8fbb4779b4d53352e5c5d18a560
SHA1: 4c2c4c9c2566eb3cfbb2ec4dd23fced750915880
SHA256: bb40b5cceeb30859df8d6267a8b8fc57fb1d3eab0d246b69c3c97ec26218e7d0
SHA512: 92accfedfcb4971a15b3f897e57a5bad93c500d47d374264d6ebb2a8b8c46f78a201d644718acaad82c2827261ca64ac52bf7df23592e4a045e64f413d018796
Homepage: https://cran.r-project.org/package=AQuadtree
Description: CRAN Package 'AQuadtree' (Confidentiality of Spatial Point Data)
 Provides an automatic aggregation tool to manage point data privacy,
 intended to be helpful for the production of official spatial data and for
 researchers.  The package pursues the data accuracy at the smallest possible
 areas preventing individual information disclosure. The methodology, based
 on hierarchical geographic data structures performs aggregation and local
 suppression of point data to ensure privacy as described in Lagonigro, R.,
 Oller, R., Martori J.C. (2017) <doi:10.2436/20.8080.02.55>.  The data
 structures are created following the guidelines for grid datasets from the
 European Forum for Geography and Statistics.

Package: r-cran-aquaenv
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm
Suggests: r-cran-desolve
Filename: pool/dists/focal/main/r-cran-aquaenv_1.0-4-1.ca2004.1_all.deb
Size: 996764
MD5sum: 1d56c4f2899f3124cc376ce1fc0b1874
SHA1: 5778516e92e975ed18317168146bcc6808ad0af5
SHA256: b2f7a6a91bb6609ef1160dba9650e34bd6aa4bcdd84bd6573fa1063169755cc3
SHA512: 96301e4f9b3d2574314732937758fc93740dea1f4332910101db309700ab3994dba00176964c26dce28a54707e935c596b8b82bb4e5a58ae161c911d10f785a9
Homepage: https://cran.r-project.org/package=AquaEnv
Description: CRAN Package 'AquaEnv' (Integrated Development Toolbox for Aquatic Chemical ModelGeneration)
 Toolbox for the experimental aquatic chemist, focused on acidification and
 CO2 air-water exchange. It contains all elements to model the pH, the
 related CO2 air-water exchange, and aquatic acid-base chemistry for an
 arbitrary marine, estuarine or freshwater system. It contains a suite of
 tools for sensitivity analysis, visualisation, modelling of chemical
 batches, and can be used to build dynamic models of aquatic systems.  As
 from version 1.0-4, it also contains functions to calculate the buffer
 factors.

Package: r-cran-aquality
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aquality_1.4-1.ca2004.1_all.deb
Size: 122648
MD5sum: f9c7b1bdd697ef07da85e46eb19f5742
SHA1: e672c0de912ac3f8e8c4ffba5edc7637efea9483
SHA256: 65161beb64b0b0cc31852761dc4912687351997d07c3de60a6ed6b430a58bab1
SHA512: 343466fb55ea4df1021215545028170dc1ad29d7f32e97972f578091676bdd43ab5a2ece6ac83792f813c7a89a9b7994d47cf83a72b58a2700c02579f0d7261d
Homepage: https://cran.r-project.org/package=AQuality
Description: CRAN Package 'AQuality' (Water and Measurements Quality)
 The functions proposed in this package allows to evaluate the process of
 measurement of the chemical components of water numerically or graphically.
 TSSS(), ICHS and datacheck() functions are useful to control the quality of
 measurements of chemical components of a sample of water. If one or more
 measurements include an error, the generated graph will indicate it with a
 position of the point that represents the sample outside the confidence
 interval. The function CI() allows to evaluate the possibility of
 contamination of a water sample after being obtained. Validation() is a
 function that allows to calculate the quality parameters of a technique for
 the measurement of a chemical component.

Package: r-cran-aquaticlifehistory
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-mass, r-cran-readr, r-cran-broom, r-cran-mumin, r-cran-magrittr, r-cran-rlist, r-cran-minpack.lm, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aquaticlifehistory_1.0.5-1.ca2004.1_all.deb
Size: 252660
MD5sum: 81e264b8b71b0753eebee581c026cca1
SHA1: 377e4df096f96d098608c61d108aa15fbee86f13
SHA256: 88844df0dba87a237292994471796a3750596c857ebb51e557beaf88b29cb7a8
SHA512: 541f9d316701cc8a437bd549ae635db267fbc84ebaace3ae9b37015e79ffe54f294badf20269861a89c36d3caa530a6e55bb8d18d1655f5235b8bf43cd4a3152
Homepage: https://cran.r-project.org/package=AquaticLifeHistory
Description: CRAN Package 'AquaticLifeHistory' (Life History Analysis Tools)
 Estimate aquatic species life history using robust techniques.  This package
 supports users undertaking two types of analysis: 1) Growth from
 length-at-age data, and 2) maturity analyses for length and/or age data.
 Maturity analyses are performed using generalised linear model approaches
 incorporating either a binomial or quasibinomial distribution.  Growth
 modelling is performed using the multimodel approach presented by Smart et
 al. (2016) "Multimodel approaches in shark and ray growth studies:
 strengths, weaknesses and the future" <doi:10.1111/faf.12154>.

Package: r-cran-aquodom
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-httr, r-cran-memoise, r-cran-cachem, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-lubridate, r-cran-readr, r-cran-glue, r-cran-rlang, r-cran-openxlsx
Suggests: r-cran-testthat, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-aquodom_0.1.1-1.ca2004.1_all.deb
Size: 32668
MD5sum: 119800a4056f84a69b290fbf80fbb7a3
SHA1: 54531db7638a036a96502ce98509ef3be8a7828d
SHA256: 3606ccdef48f6f79471768656a358b99d35f9461380c15588b0660b8b78cfb07
SHA512: 6385ceff13bb1cafe37c5e23e0b745f5911713cef7c380fc7f6627c568c6a08a85fe92f106ac85a0deb87d2b9ed1ca2342b7371c13ddb9dc6df70011a2b63188
Homepage: https://cran.r-project.org/package=aquodom
Description: CRAN Package 'aquodom' (Access to Aquo domaintables from R (Dutch))
 The Aquo Standard is the Dutch Standard for the exchange of data in water
 management. With *aquodom* (short for aquo domaintables) it is easy to
 exploit the API (<https://www.aquo.nl/index.php/Hoofdpagina>) to download
 domaintables of the Aquo Standard and use them in R.

Package: r-cran-ar.matrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-sparsemvn, r-cran-sp
Suggests: r-cran-ggplot2, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-ar.matrix_0.1.0-1.ca2004.1_all.deb
Size: 451284
MD5sum: 784a5c73894505c51857add485db111c
SHA1: 8a042a79f1cb69173d2ead82c3b29d865f4f2eb3
SHA256: 4b664eb55348bc96cbebc309b14c8e0a54f85bf9a3f617ed792143ff682bac63
SHA512: 27e09766ace3e479f45443d2f7700c8911cfcf0fec7f03710ef3a10664b897c2ba83bef7cb2faedfa05685357bc894ac1bf4f198990e61f646f6615f7e0d2def
Homepage: https://cran.r-project.org/package=ar.matrix
Description: CRAN Package 'ar.matrix' (Simulate Auto Regressive Data from Precision Matricies)
 Using sparse precision matricies and Choleski factorization simulates data
 that is auto-regressive.

Package: r-cran-ar
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-distrib
Filename: pool/dists/focal/main/r-cran-ar_1.1-1.ca2004.1_all.deb
Size: 26096
MD5sum: 0441126a5d4f48f3c9fb619266a039da
SHA1: df5cecca61f67f4bc321bbeab23ccee3d0f8307e
SHA256: 738118e4b637a18f6f7777af91e4b638b51805452d356db72d242556f65e06b1
SHA512: d543c32055a4d3eb7d033d5f5b52efed17c28b6ba17a2a3c794993f6f3caaaac5a2a035d5f00e4354c6de1772e7f2266e8b0e389820fb295834eb2511f82331b
Homepage: https://cran.r-project.org/package=AR
Description: CRAN Package 'AR' (Another Look at the Acceptance-Rejection Method)
 In mathematics, 'rejection sampling' is a basic technique used to generate
 observations from a distribution. It is also commonly called 'the
 Acceptance-Rejection method' or 'Accept-Reject algorithm' and is a type of
 Monte Carlo method. 'Acceptance-Rejection method' is based on the
 observation that to sample a random variable one can perform a uniformly
 random sampling of the 2D cartesian graph, and keep the samples in the
 region under the graph of its density function. Package 'AR' is able to
 generate/simulate random data from a probability density function by
 Acceptance-Rejection method. Moreover, this package is a useful teaching
 resource for graphical presentation of Acceptance-Rejection method. From the
 practical point of view, the user needs to calculate a constant in
 Acceptance-Rejection method, which package 'AR' is able to compute this
 constant by optimization tools. Several numerical examples are provided to
 illustrate the graphical presentation for the Acceptance-Rejection Method.

Package: r-cran-arabic2kansuji
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-arabic2kansuji_0.1.3-1.ca2004.1_all.deb
Size: 20540
MD5sum: 66982c6b0307bd8680383e4e8fd299fd
SHA1: 298e6e72fba10799fd66f578c82315830496996a
SHA256: a688da2aa4f42c466f19ff96be0bfe1e320251337fa86a80dfe59c5a5de0531d
SHA512: f1842e9ef060e3b48d6e080a646237e8f462c8bb14cba111d4161cf06bd4c87ab0b812e84ddf4f68a76c476a7bfacb3a98df72c5092d3dc86039dc11fdfd614d
Homepage: https://cran.r-project.org/package=arabic2kansuji
Description: CRAN Package 'arabic2kansuji' (Convert Arabic Numerals to Kansuji)
 Simple functions to convert given Arabic numerals to Kansuji numerical
 figures that represent numbers written in Chinese characters.

Package: r-cran-arabicstemr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-arabicstemr_1.3-1.ca2004.1_all.deb
Size: 77944
MD5sum: 6d4369f8d5dd00fecffe256dc1acec5f
SHA1: 730be012b7bfc0f3274c7e90dd2a5bdbdbf70cfc
SHA256: f69b183fbffdcab1a75194a38bd06f1a85d7c470cbb3ab4104dc7a92693300fd
SHA512: ac9295fead5af492fb576326c92722ca097ac4f97a7961c1190b40f244bdbb26eafafe8c6715f184645cf5f9ed99e619d6e5042502ac663266d188eab9bb9129
Homepage: https://cran.r-project.org/package=arabicStemR
Description: CRAN Package 'arabicStemR' (Arabic Stemmer for Text Analysis)
 Allows users to stem Arabic texts for text analysis.

Package: r-cran-arakno
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-httr, r-cran-jsonlite, r-cran-phytools, r-cran-rgbif, r-cran-rworldmap, r-cran-rworldxtra
Filename: pool/dists/focal/main/r-cran-arakno_1.3.0-1.ca2004.1_all.deb
Size: 139532
MD5sum: ec503164d2614af98a9ffdb2d5a0a345
SHA1: 41d0d5fcdc52ab1efac3c196efc457eac8608acf
SHA256: 88747541ea5e59191f04624f8e27439a396d9361640e9a82857e0ff61c619402
SHA512: 62c9bac92d45f44d1294f69b7d7f2e36502dc22d8714fb38b40e195e67e985fa120ccc139c3e28cdcd00b9a704432365cba1a60eefdc88d7d9492fefb5fe6c96
Homepage: https://cran.r-project.org/package=arakno
Description: CRAN Package 'arakno' (ARAchnid KNowledge Online)
 Allows the user to connect with the World Spider Catalogue (WSC;
 <https://wsc.nmbe.ch/>) and the World Spider Trait (WST;
 <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic
 functions such as checking names validity, retrieving coordinate data from
 the Global Biodiversity Information Facility (GBIF;
 <https://www.gbif.org/>), and mapping.

Package: r-cran-ararredux
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ararredux_1.0-1.ca2004.1_all.deb
Size: 270128
MD5sum: 013c0c2801df28f9650bd8d03f702266
SHA1: f11fe735c6a76c80759c98e1da9dfbdf0eca6928
SHA256: 6d6a8d1c243ddcb0225f20ff8c12ce2827b2aca78b9c9750f6238af1fb4ee2f6
SHA512: addf6e11c8b56853db3c98e3bf901ee72a3ea3cd9274581ed5777afab417cef4045e5fba1d13434f03fdf9429e52b23bab620e59258021b5d5af0530c167c1b1
Homepage: https://cran.r-project.org/package=ArArRedux
Description: CRAN Package 'ArArRedux' (Rigorous Data Reduction and Error Propagation of Ar40 / Ar39Data)
 Processes noble gas mass spectrometer data to determine the isotopic
 composition of argon (comprised of Ar36, Ar37, Ar38, Ar39 and Ar40) released
 from neutron-irradiated potassium-bearing minerals. Then uses these
 compositions to calculate precise and accurate geochronological ages for
 multiple samples as well as the covariances between them. Error propagation
 is done in matrix form, which jointly treats all samples and all isotopes
 simultaneously at every step of the data reduction process. Includes methods
 for regression of the time-resolved mass spectrometer signals to t=0 ('time
 zero') for both single- and multi-collector instruments, blank correction,
 mass fractionation correction, detector intercalibration, decay corrections,
 interference corrections, interpolation of the irradiation parameter between
 neutron fluence monitors, and (weighted mean) age calculation. All
 operations are performed on the logs of the ratios between the different
 argon isotopes so as to properly treat them as 'compositional data', sensu
 Aitchison [1986, The Statistics of Compositional Data, Chapman and Hall].

Package: r-cran-arc
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arules, r-cran-r.utils, r-cran-discretization, r-cran-matrix
Suggests: r-cran-qcba
Filename: pool/dists/focal/main/r-cran-arc_1.4.2-1.ca2004.1_all.deb
Size: 228484
MD5sum: 76eb609ec27f3f28c697c157d67b24d9
SHA1: cabda45be3dad258cfec4d05c5d57421d2718531
SHA256: b6a42966d1d02354e56e3d49b4ac2f867a4ccdbea1f1ee99063c47ec7f731fa4
SHA512: 3f4ea872f541d11d3f41e09474656ce789680726eb7776dcf836a615c3a7900db5948afc46324f8b78c7a0f894f96f3e4936a94b27fc8e717eb5c1ec0337544a
Homepage: https://cran.r-project.org/package=arc
Description: CRAN Package 'arc' (Association Rule Classification)
 Implements the Classification-based on Association Rules (CBA) algorithm for
 association rule classification.  The package, also described in Hahsler et
 al. (2019) <doi:10.32614/RJ-2019-048>, contains several convenience methods
 that allow to automatically set CBA parameters (minimum confidence, minimum
 support) and it also natively handles numeric attributes by integrating a
 pre-discretization step.  The rule generation phase is handled by the
 'arules' package.  To further decrease the size of the CBA models produced
 by the 'arc' package, postprocessing by the 'qCBA' package is suggested.

Package: r-cran-arcgeocoder
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tibble, r-cran-tidygeocoder
Filename: pool/dists/focal/main/r-cran-arcgeocoder_0.2.1-1.ca2004.1_all.deb
Size: 542196
MD5sum: 37eca880f17a1aa357df5587e4e11df2
SHA1: 0ac4b8d6ddcf3c511b6b6063621217c9184fffd0
SHA256: db25659677b04599ca11e2089f69f9f89b6e72cbc3b740aed67b8b12b7870c66
SHA512: 958f69a47f25f174047fc1aab425e13a941ab0005cd94ff89d7ed2d95f25ab77862ccd271b0514048ac2418d9bc88202e0215e4b44a7bd1311ef222640e478d0
Homepage: https://cran.r-project.org/package=arcgeocoder
Description: CRAN Package 'arcgeocoder' (Geocoding with the 'ArcGIS' REST API Service)
 Lite interface for finding locations of addresses or businesses around the
 world using the 'ArcGIS' REST API service
 <https://developers.arcgis.com/rest/geocode/api-reference/overview-world-geocoding-service.htm>.
 Address text can be converted to location candidates and a location can be
 converted into an address. No API key required.

Package: r-cran-arcgis
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arcgisgeocode, r-cran-arcgislayers, r-cran-arcgisplaces, r-cran-arcgisutils, r-cran-cli, r-cran-httr2
Suggests: r-cran-arcpbf, r-cran-calcite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arcgis_0.2.0-1.ca2004.1_all.deb
Size: 15064
MD5sum: 9984188c3db3315d62e82f53aa068b10
SHA1: 20fe922818a8990ffcc94394bb336b5f8c122c11
SHA256: 2fb4130303f7fd349c2c50c8ef842703864a2566db9617f1cebb1366b6e0b077
SHA512: 79b138ca2ed7fdd622a239f58fd84c0099dcae9769d0f6745b492dfdb1dc1e151398691b16e305015dd32f6cc83f51bb7e216278e5a3729733d2e17e545a1dc8
Homepage: https://cran.r-project.org/package=arcgis
Description: CRAN Package 'arcgis' (ArcGIS Location Services Meta-Package)
 Provides easy installation and loading of core ArcGIS location services
 packages 'arcgislayers', 'arcgisutils', 'arcgisgeocode', and 'arcgisplaces'.
 Enabling developers to interact with spatial data and services from 'ArcGIS
 Online', 'ArcGIS Enterprise', and 'ArcGIS Platform'. Learn more about the
 'arcgis' meta-package at <https://developers.arcgis.com/r-bridge/>.

Package: r-cran-arcgislayers
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arcgisutils, r-cran-arcpbf, r-cran-cli, r-cran-httr2, r-cran-jsonify, r-cran-lifecycle, r-cran-rcppsimdjson, r-cran-rlang, r-cran-sf, r-cran-terra
Suggests: r-cran-dbplyr, r-cran-dplyr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyselect, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-arcgislayers_0.4.0-1.ca2004.1_all.deb
Size: 1087148
MD5sum: a79023a590c128245e3a588d1bf0b843
SHA1: 9d9ad2757d7ff21aaa939fd104642f079c1303cb
SHA256: 36d12964155526bf3f15fc219c55730c56029e373342ceab2694ce7f933a31d6
SHA512: d7c228bec3ff6e6ac313cdb471557f976c2d1160432a0df2d4d9bae4cb0ec4efc17ac4a5b348baba73b357b2dc04225621b2c2413e4f626271f2e7b97ab0521a
Homepage: https://cran.r-project.org/package=arcgislayers
Description: CRAN Package 'arcgislayers' (An Interface to ArcGIS Data Services)
 Enables users of 'ArcGIS Enterprise', 'ArcGIS Online', or 'ArcGIS Platform'
 to read, write, publish, or manage vector and raster data via ArcGIS
 location services REST API endpoints <https://developers.arcgis.com/rest/>.

Package: r-cran-archaeochron
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-rjags, r-cran-archaeophases, r-cran-bchron
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-archaeochron_0.1-1.ca2004.1_all.deb
Size: 576484
MD5sum: 9b0fbd890f12bf9a88e5164937e0c2b3
SHA1: 5399aaf42a44b66a8afb082613c56cf58c738ce6
SHA256: c54de8b73f6b6b823f1b2c10e20d348d3d29a3f987078e75f2857ec18c9544d3
SHA512: 62b23d6ea17960e73aaa0be5a92c04f3da0308c6ff8e8ed8eb9579770f4a377a803eb1a144eecbc2caa834ae0c56d99c91bead0d1cb8dd3e47b37e4696753871
Homepage: https://cran.r-project.org/package=ArchaeoChron
Description: CRAN Package 'ArchaeoChron' (Bayesian Modeling of Archaeological Chronologies)
 Provides a list of functions for the Bayesian modeling of archaeological
 chronologies. The Bayesian models are implemented in 'JAGS' ('JAGS' stands
 for Just Another Gibbs Sampler. It is a program for the analysis of Bayesian
 hierarchical models using Markov Chain Monte Carlo (MCMC) simulation. See
 <http://mcmc-jags.sourceforge.net/> and "JAGS Version 4.3.0 user manual",
 Martin Plummer (2017)
 <https://sourceforge.net/projects/mcmc-jags/files/Manuals/>.). The inputs
 are measurements with their associated standard deviations and the study
 period. The output is the MCMC sample of the posterior distribution of the
 event date with or without radiocarbon calibration.

Package: r-cran-archaeophases.dataset
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3488
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-archaeophases.dataset_0.2.0-1.ca2004.1_all.deb
Size: 3399784
MD5sum: 8bc490c38eb1497289a3363a22d170c0
SHA1: 5157e7fad2fc1a991840d41eb33314c03aaca695
SHA256: 5f85b31936f0cc0f3a358409cd0e2208b3f7a21e033be5c2add2694363a973f9
SHA512: 95b14b73f8a728a648c5dcd6355643a16ceffad5af687d0e4bd150cd2c41396149444d5708a1d02c5fe79f8037beec66ef2653da93c4e2830ae89ed6b2688b04
Homepage: https://cran.r-project.org/package=ArchaeoPhases.dataset
Description: CRAN Package 'ArchaeoPhases.dataset' (Data Sets for 'ArchaeoPhases' Vignettes)
 Provides the data sets used to build the 'ArchaeoPhases' vignettes.  The
 data sets were formerly distributed with 'ArchaeoPhases', however they
 exceed current CRAN policy for package size.

Package: r-cran-archaeophases
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arkhe, r-cran-aion
Suggests: r-cran-coda, r-cran-knitr, r-cran-rmarkdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-archaeophases_2.0-1.ca2004.1_all.deb
Size: 1624088
MD5sum: 90b27ccfbd6ceca35761a5d0bbf3ec62
SHA1: ff2c35014ac6b1b6a6e19f250a0fdfbc9a74ff19
SHA256: f4a1926ba4dc4941a42e8907104c047921f06429a08845f061bb652483c51540
SHA512: 35e1c753f44c0535a2c96678fe35e89ea6edf7aad3f66abc483a0019d9cc0ec73f2435d31bfe96498c77319af586776119a251f1716cd93e635aad10aba90b54
Homepage: https://cran.r-project.org/package=ArchaeoPhases
Description: CRAN Package 'ArchaeoPhases' (Post-Processing of Markov Chain Monte Carlo Simulations forChronological Modelling)
 Statistical analysis of archaeological dates and groups of dates. This
 package allows to post-process Markov Chain Monte Carlo (MCMC) simulations
 from 'ChronoModel' <https://chronomodel.com/>, 'Oxcal'
 <https://c14.arch.ox.ac.uk/oxcal.html> or 'BCal' <https://bcal.shef.ac.uk/>.
 It provides functions for the study of rhythms of the long term from the
 posterior distribution of a series of dates (tempo and activity plot). It
 also allows the estimation and visualization of time ranges from the
 posterior distribution of groups of dates (e.g. duration, transition and
 hiatus between successive phases) as described in Philippe and Vibet (2020)
 <doi:10.18637/jss.v093.c01>.

Package: r-cran-archdata
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ca, r-cran-circular, r-cran-plotrix, r-cran-mass, r-cran-spatstat
Filename: pool/dists/focal/main/r-cran-archdata_1.2-1-1.ca2004.1_all.deb
Size: 155452
MD5sum: 4a9b9ed00577f94b8a55de30dedc79ef
SHA1: 3864639cec4e71c171bd134afb04c7a7d251f4ce
SHA256: 60600eb8159b3c35a6473626164b4658df1590198d16c8b87425b49a4ba765ad
SHA512: b7f02772ffcbb48f61ba6471566958ea047f035fa6cc10fef574266d407c9e56a825515d812be7a24216f2c273fa4f592ca3d47414f64493638177fe07c632b6
Homepage: https://cran.r-project.org/package=archdata
Description: CRAN Package 'archdata' (Example Datasets from Archaeological Research)
 The archdata package provides several types of data that are typically used
 in archaeological research. It provides all of the data sets used in
 "Quantitative Methods in Archaeology Using R" by David L Carlson, one of the
 Cambridge Manuals in Archaeology.

Package: r-cran-archeofrag.gui
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archeofrag, r-cran-dendextend, r-cran-doparallel, r-cran-dorng, r-cran-dt, r-cran-foreach, r-cran-ggplot2, r-cran-igraph, r-cran-shiny, r-cran-shinythemes
Suggests: r-bioc-rbgl
Filename: pool/dists/focal/main/r-cran-archeofrag.gui_1.1.0-1.ca2004.1_all.deb
Size: 412172
MD5sum: 612af301fe7916f1247813f0d9d1a34a
SHA1: ea465f88c92d4298afb9d8dd7307559e754ac678
SHA256: 4e0ffc8a249a5c1bf4db3d5edf766890c4a09e9291705d6c68727d8960510ae7
SHA512: c0d10d33a632f2c97a2a28d6c9046153061669beda826c30f8e18f845d40db89e600dfb0c97a767d9ac13b8ba35b203c20ec8474beeb1f31cd71b3f5e92e2e2e
Homepage: https://cran.r-project.org/package=archeofrag.gui
Description: CRAN Package 'archeofrag.gui' (Spatial Analysis in Archaeology from Refitting Fragments (GUI))
 A 'Shiny' application to access the functionalities and datasets of the
 'archeofrag' package for spatial analysis in archaeology from refitting
 data. Quick and seamless exploration of archaeological refitting datasets,
 focusing on physical refits only. Features include: built-in documentation
 and convenient workflow, plot generation and exports, exploration of spatial
 units merging solutions, simulation of archaeological site formation
 processes, support for parallel computing, R code generation to re-execute
 simulations and ensure reproducibility, code generation for the 'openMOLE'
 model exploration software. A demonstration of the app is available at
 <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.

Package: r-cran-archeofrag
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Suggests: r-bioc-rbgl, r-cran-knitr, r-cran-covr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-archeofrag_1.2.0-1.ca2004.1_all.deb
Size: 545404
MD5sum: 9896b49088f27e0c65f22b6f9c5bbf9a
SHA1: 51654b88efa3e52b759b387f15ada050726b2367
SHA256: 0d54d05936b911264de67052decbe55fcbf20911d7d3e939bee1b04219aae995
SHA512: 00ed961f38de7befde8b195f5b0a0188dc56c64ad2f93beb1bd7eb583cea216b6b85378e01472a7cce20ff18092b06e7c311b5494918803a133b9fd61c9c946c
Homepage: https://cran.r-project.org/package=archeofrag
Description: CRAN Package 'archeofrag' (Spatial Analysis in Archaeology from Refitting Fragments)
 Methods to analyse spatial units in archaeology from the relationships
 between refitting fragmented objects scattered in these units (e.g.
 stratigraphic layers). Graphs are used to model archaeological observations.
 The package is mainly based on the 'igraph' package for graph analysis.
 Functions can: 1) create, manipulate, and simulate fragmentation graphs, 2)
 measure the cohesion and admixture of archaeological spatial units, and 3)
 characterise the topology of a specific set of refitting relationships.
 Empirical datasets are provided as examples. Documentation about
 'archeofrag' is provided by the vignette included in this package, by the
 accompanying scientific papers: Plutniak (2021, Journal of Archaeological
 Science, <doi:10.1016/j.jas.2021.105501>) and Plutniak (2022, Journal of
 Open Source Software, <doi:10.21105/joss.04335>). This package is
 complemented by a companion GUI application available at
 <https://analytics.huma-num.fr/Sebastien.Plutniak/archeofrag/>.

Package: r-cran-archeoviz
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-mgcv, r-cran-geometry, r-cran-reshape2, r-cran-svglite, r-cran-htmlwidgets, r-cran-shiny, r-cran-shinythemes, r-cran-knitr
Suggests: r-cran-covr, r-cran-seahors, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-archeoviz_1.4.1-1.ca2004.1_all.deb
Size: 321324
MD5sum: d7f95aca11ad4f730f7503bd20c8978e
SHA1: 8db4dac2bd0cf9711d02a48b84466831efde32f2
SHA256: 5870e5ecc02fae43a00296fad85dc12c4e297ed96080ae31eb7383b06c8e23dc
SHA512: f8068c1279a006c596870447893578dea5cf4263a22acb10b585e0018ab6c74f33bc42db503a8206c23421e783692b943a4fb7e2ef9b5c03e51835b60c3a9294
Homepage: https://cran.r-project.org/package=archeoViz
Description: CRAN Package 'archeoViz' (Visualisation, Exploration, and Web Communication ofArchaeological Spatial Data)
 An R 'Shiny' application for visual and statistical exploration and web
 communication of archaeological spatial data, either remains or sites. It
 offers interactive 3D and 2D visualisations (cross sections and maps of
 remains, timeline of the work made in a site) which can be exported in SVG
 and HTML formats. It performs simple spatial statistics (convex hull,
 regression surfaces, 2D kernel density estimation) and allows exporting data
 to other online applications for more complex methods. 'archeoViz' can be
 used offline locally or deployed on a server, either with interactive input
 of data or with a static data set. Example is provided at
 <https://analytics.huma-num.fr/archeoviz/en>.

Package: r-cran-archetypal
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-geometry, r-cran-inflection, r-cran-doparallel, r-cran-lpsolve, r-cran-plot3d, r-cran-entropy
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-archetypal_1.3.1-1.ca2004.1_all.deb
Size: 3920452
MD5sum: 8dd925c5b82adc0ee0b1e58a43263d01
SHA1: 438d8691038970291def148b47784299a6b8e88a
SHA256: 914d9211a8f0976cebf84e5d2baca8596d8e34fa8c0b74ceb90c19b28e69e114
SHA512: a78a8d620433b82fcdd67d5add7de9dac136aaa4ecee0d825e270197b5669d67dcc7559a85e9955a6b71da120055cc9db8a598c1a109c757ed5de5587d5ae80f
Homepage: https://cran.r-project.org/package=archetypal
Description: CRAN Package 'archetypal' (Finds the Archetypal Analysis of a Data Frame)
 Performs archetypal analysis by using Principal Convex Hull Analysis under a
 full control of all algorithmic parameters.  It contains a set of functions
 for determining the initial solution, the optimal algorithmic parameters and
 the optimal number of archetypes.  Post run tools are also available for the
 assessment of the derived solution.  Morup, M., Hansen, LK (2012)
 <doi:10.1016/j.neucom.2011.06.033>.  Hochbaum, DS, Shmoys, DB (1985)
 <doi:10.1287/moor.10.2.180>.  Eddy, WF (1977) <doi:10.1145/355759.355768>.
 Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>.
 Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076>.  Falk, A., Becker, A.,
 Dohmen, T., Enke, B., Huffman, D., Sunde, U. (2018),
 <doi:10.1093/qje/qjy013>.  Christopoulos, DT (2015)
 <doi:10.1016/j.jastp.2015.03.009> .  Murari, A., Peluso, E., Cianfrani,
 Gaudio, F., Lungaroni, M., (2019), <doi:10.3390/e21040394>.

Package: r-cran-archetyper
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-here, r-cran-knitr, r-cran-log4r, r-cran-config, r-cran-tidyverse, r-cran-rmarkdown, r-cran-skimr, r-cran-stringr, r-cran-snakecase, r-cran-testthat, r-cran-bannercommenter, r-cran-feather, r-cran-readr, r-cran-ps
Suggests: r-cran-rcurl, r-cran-mass, r-cran-broom, r-cran-caret, r-cran-covr, r-cran-gtsummary, r-cran-performance, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-archetyper_0.1.0-1.ca2004.1_all.deb
Size: 1046776
MD5sum: 65622b7ef84bdf82358ae1dfe247b3a7
SHA1: e30d1df18f2c8ae1ee296e1e5d454d1461ea890c
SHA256: 4868fbbfb7c665ac3eb68ef436c7207dbe06d6e158dcac1c052a02b94760876a
SHA512: a6639b79636d526c6cc033c4007653ae3ec8e3c056aea891bf8cf9edad9a359c0e0eb41ba8b2fff3b8e4a5f49ccf09bd074636bbcd86ebc97cedd03a41a47644
Homepage: https://cran.r-project.org/package=archetyper
Description: CRAN Package 'archetyper' (An Archetype for Data Mining and Data Science Projects)
 A project template to support the data science workflow.

Package: r-cran-archetypes
Architecture: all
Version: 2.2-0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1415
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-modeltools, r-cran-nnls
Suggests: r-cran-mass, r-cran-vcd, r-cran-mlbench, r-cran-ggplot2, r-cran-tsp, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-archetypes_2.2-0.2-1.ca2004.1_all.deb
Size: 1194156
MD5sum: a9e3c571b1acf1dbb4d915eb93c16748
SHA1: d21b5b27d9de780e21f60c61bb9706b9d8047acd
SHA256: b61238517d81f45eab62ef13e543ffa2e90353a20dea1cb8318a490513a01097
SHA512: 839b8e11fc36911fd56286f2a8b8fdefeb96c162e7b0c7263cb5835840b8015ccea26a6a9059ab1aa14035858e068ec5e88975a6a31e9a5eb87e511076e1b332
Homepage: https://cran.r-project.org/package=archetypes
Description: CRAN Package 'archetypes' (Archetypal Analysis)
 The main function archetypes implements a framework for archetypal analysis
 supporting arbitrary problem solving mechanisms for the different conceptual
 parts of the algorithm.

Package: r-cran-archi
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4694
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-plyr, r-cran-rgl, r-cran-lidr, r-cran-fnn, r-cran-dicekriging, r-cran-stringr, r-cran-progress, r-cran-gtools, r-cran-rfast, r-cran-voxr, r-cran-fastcluster, r-cran-pracma, r-cran-pkgcond, r-cran-r.matlab, r-cran-svmisc, r-cran-circular
Filename: pool/dists/focal/main/r-cran-archi_2.1.3-1.ca2004.1_all.deb
Size: 2653924
MD5sum: 4c8d6ab3e8bf9bb9a4f6ef591588c1c7
SHA1: 97d84df3e82dca7496552056019f53971fbf0929
SHA256: 77cc74ecc9f9edced75d95a9d7f89bedd6322e6bfe9144d46d238969d50a17eb
SHA512: 1a66ae6ced2c09117f6834df4767a88261a4c270cec9d691dbb31401ad8bd34e3be37b4c69cbd07185c5d7dabb484eaff7f38a389e2c022ce4fb7c1d7e16772e
Homepage: https://cran.r-project.org/package=aRchi
Description: CRAN Package 'aRchi' (Quantitative Structural Model ('QSM') Treatment for TreeArchitecture)
 Provides a set of tools to make quantitative structural model of trees (i.e
 the so-called 'QSM') from LiDAR point cloud, to manipulate and visualize the
 QSMs as well as to compute metrics from them. It can be used in various
 context of forest ecology (i.e biomass estimation) and tree architecture
 (i.e architectural metrics), see Martin-Ducup et al. (2020)
 <doi:10.1111/1365-2435.13678>. The package is based on a new S4 class called
 'aRchi'.

Package: r-cran-archidart
Architecture: all
Version: 3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-xml, r-cran-geometry, r-cran-sp
Suggests: r-cran-rgl, r-cran-tda
Filename: pool/dists/focal/main/r-cran-archidart_3.4-1.ca2004.1_all.deb
Size: 1675692
MD5sum: f8fd106d2c99a8fc015ffdc14e124393
SHA1: ba115852da3ed0c37fd5b6edb08c2a9277213cc4
SHA256: facf4b7e33e0e05065c824840febbcd5b64d915f18c4975a779127aa3de8226e
SHA512: 4b3369bf712e41ccba1df1d4d5070dfd52dd99d4989335f9aa5bf54593fdb750b02122b0220df3cfc8d0d9bac7f23937f45c6e721d2d39383d8ea74eb02697a0
Homepage: https://cran.r-project.org/package=archiDART
Description: CRAN Package 'archiDART' (Plant Root System Architecture Analysis Using DART and RSMLFiles)
 Analysis of complex plant root system architectures (RSA) using the output
 files created by Data Analysis of Root Tracings (DART), an open-access
 software dedicated to the study of plant root architecture and development
 across time series (Le Bot et al (2010) "DART: a software to analyse root
 system architecture and development from captured images", Plant and Soil,
 <DOI:10.1007/s11104-009-0005-2>), and RSA data encoded with the Root System
 Markup Language (RSML) (Lobet et al (2015) "Root System Markup Language:
 toward a unified root architecture description language", Plant Physiology,
 <DOI:10.1104/pp.114.253625>). More information can be found in Delory et al
 (2016) "archiDART: an R package for the automated computation of plant root
 architectural traits", Plant and Soil, <DOI:10.1007/s11104-015-2673-4>.

Package: r-cran-archissur
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gpcsign, r-cran-dicekriging, r-cran-kriginv, r-cran-future.apply, r-cran-truncatednormal, r-cran-randtoolbox, r-cran-rgenoud
Suggests: r-cran-future, r-cran-dicedesign, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-archissur_0.0.1-1.ca2004.1_all.deb
Size: 89580
MD5sum: fd742dc63ec866e42318cf55167cae57
SHA1: d99679c874a2d1f913980bef09cd9c3df9c09332
SHA256: bafec0bbb9423281bec595b9b31529a9a87328e4a22cf4b3f4cebea2f061f53b
SHA512: 8f70027953276c2694dcdcbbbda1332ce866298941c70e382ee7070a7936b5738bbc35660a470ba38ad27056651852a438b4a8d6cdeacf9ed19ee41351e22a05
Homepage: https://cran.r-project.org/package=ARCHISSUR
Description: CRAN Package 'ARCHISSUR' (Active Recovery of a Constrained and Hidden Set by StepwiseUncertainty Reduction Strategy)
 Stepwise Uncertainty Reduction criterion and algorithm for sequentially
 learning a Gaussian Process Classifier as described in Menz et al. (2025).

Package: r-cran-archiveretriever
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anytime, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-vcr, r-cran-testthat, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-archiveretriever_0.4.0-1.ca2004.1_all.deb
Size: 283016
MD5sum: 9c454d846702d7fc9ba889fe240c48c7
SHA1: 2d1049b246e3b5f4d8abea685e0a0c87101459e9
SHA256: a87cd048e465e83522b601915db2aa124dc8d3c2673586a99a0b46acc0c7875c
SHA512: b696c6def267ba324df5dcfd34eda6304f7eb9c1c74e2786ef20954a6cbf1c3fba83b048fb3332e95eb4a8d13dd4f31be12cbfb176c26983ebcb713c9d86108a
Homepage: https://cran.r-project.org/package=archiveRetriever
Description: CRAN Package 'archiveRetriever' (Retrieve Archived Web Pages from the 'Internet Archive')
 Scraping content from archived web pages stored in the 'Internet Archive'
 (<https://archive.org>) using a systematic workflow.  Get an overview of the
 mementos available from the respective homepage, retrieve the Urls and links
 of the page and finally scrape the content. The final output is stored in
 tibbles, which can be then easily used for further analysis.

Package: r-cran-archivist.github
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1767
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-archivist, r-cran-httr, r-cran-git2r, r-cran-jsonlite, r-cran-digest
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-archivist.github_0.2.6-1.ca2004.1_all.deb
Size: 975092
MD5sum: a01ca5e6c17d98e5ca1868d1827662eb
SHA1: f4fa804a37e661874bddb0e970780bf2926ea210
SHA256: 155ca1af8e076a84fb45671328ac93f0ff21e28930c9501d603464595071225e
SHA512: 48732b0de78e91a874d64de16b9833b8eadf11b1f17021c3570b0fc020e841cee8c040085e7c06b9c34c6c9d3869b291b75d0f35a6572a4ce84c06487a2a562b
Homepage: https://cran.r-project.org/package=archivist.github
Description: CRAN Package 'archivist.github' (Tools for Archiving, Managing and Sharing R Objects via GitHub)
 The extension of the 'archivist' package integrating the archivist with
 GitHub via GitHub API, 'git2r' packages and 'httr' package.

Package: r-cran-archivist
Architecture: all
Version: 2.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-digest, r-cran-httr, r-cran-dbi, r-cran-lubridate, r-cran-rsqlite, r-cran-magrittr, r-cran-flock
Suggests: r-cran-shiny, r-cran-dplyr, r-cran-testthat, r-cran-ggplot2, r-cran-devtools, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-archivist_2.3.8-1.ca2004.1_all.deb
Size: 529752
MD5sum: e596511679fe97be54fd8f6d55007a0a
SHA1: e30d389501b4b912927c44911a572a3d9d9c4576
SHA256: 806add4813e953e6837ab8df50c43c38a899012e747d2b0ad0d62d8a7d8331eb
SHA512: 07de33dea7ec5f0f4fc50b5470a713f8d358f62b1b6775e72164fe31157b9bb092c2ca0fb64210639cb01cddda2d3d82ef08da555aaa92712a045af07f640e1b
Homepage: https://cran.r-project.org/package=archivist
Description: CRAN Package 'archivist' (Tools for Storing, Restoring and Searching for R Objects)
 Data exploration and modelling is a process in which a lot of data artifacts
 are produced. Artifacts like: subsets, data aggregates, plots, statistical
 models, different versions of data sets and different versions of results.
 The more projects we work with the more artifacts are produced and the
 harder it is to manage these artifacts. Archivist helps to store and manage
 artifacts created in R. Archivist allows you to store selected artifacts as
 a binary files together with their metadata and relations.  Archivist allows
 to share artifacts with others, either through shared folder or github.
 Archivist allows to look for already created artifacts by using it's class,
 name, date of the creation or other properties. Makes it easy to restore
 such artifacts. Archivist allows to check if new artifact is the exact copy
 that was produced some time ago. That might be useful either for testing or
 caching.

Package: r-cran-arco
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-boot
Filename: pool/dists/focal/main/r-cran-arco_0.3-1-1.ca2004.1_all.deb
Size: 92040
MD5sum: 8c919464f1e217180e26e2abaf98fc63
SHA1: 0f051f2935243bb5e10fbcfd1ebcededb3864020
SHA256: 3aa50a3122b6e40945fdef60f7d413691e24fef5a38fd683161c4f8dc8e08654
SHA512: 4c17d0059974b9cc6737d3ace6243c2a2b5916490a1f066f3c941d57e85f06f592a5d1b985e75d365f0d79d82be425e8d01af8a55a3ed5638b7b16d83765114d
Homepage: https://cran.r-project.org/package=ArCo
Description: CRAN Package 'ArCo' (Artificial Counterfactual Package)
 Set of functions to analyse and estimate Artificial Counterfactual models
 from Carvalho, Masini and Medeiros (2016) <DOI:10.2139/ssrn.2823687>.

Package: r-cran-arcpullr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-rlang, r-cran-raster, r-cran-terra, r-cran-purrr, r-cran-dt
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rvest, r-cran-xml2, r-cran-stringr, r-cran-cowplot, r-cran-magick
Filename: pool/dists/focal/main/r-cran-arcpullr_0.3.0-1.ca2004.1_all.deb
Size: 1614936
MD5sum: 429a81617cf81275c3cee20b4098ee53
SHA1: d160f9157aeb618e9de4d62800f73ae85d83f846
SHA256: c13de25bc0d30ecb7ea2fc55bda006581b00deacef33081d02ae1b8e4341a86d
SHA512: 6b9dda00b7ff6138fe97b83c33aad24f7de32c1fa90f1b5faa0561c9acd9e67f25641acec835ac7d55abcc92270bd5c9380986300cd7d6b87a8c244af6db4673
Homepage: https://cran.r-project.org/package=arcpullr
Description: CRAN Package 'arcpullr' (Pull Data from an 'ArcGIS REST' API)
 Functions to efficiently query 'ArcGIS REST' APIs
 <https://developers.arcgis.com/rest/>.  Both spatial and SQL queries can be
 used to retrieve data.  Simple Feature (sf) objects are utilized to perform
 spatial queries.  This package was neither produced nor is maintained by
 Esri.

Package: r-cran-arcpy
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3984
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate
Suggests: r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rstudioapi, r-cran-sf, r-cran-terra
Filename: pool/dists/focal/main/r-cran-arcpy_0.4-0-1.ca2004.1_all.deb
Size: 1578284
MD5sum: 1e2f31f29ad8ffa8c80ac4355534168a
SHA1: 0b82ee8cadafec2d953eb47cf412909aa2ad5f90
SHA256: 06d7fc95e766c0263ae5a9b1f5db2496e6d707b8d4837b8a9e55efeedc55193a
SHA512: 0c52d3d21188f00f05ad362008014c4ff356787af82ca8f1cf1610455722c08254b91fea64da82b74e5ff7c91c6c0ef174e07b97b89382a9251a8cb453fef629
Homepage: https://cran.r-project.org/package=arcpy
Description: CRAN Package 'arcpy' (Interface to 'ArcGIS' 'Python' Modules)
 An interface to the 'ArcGIS' 'arcpy' and 'arcgis' 'python' API
 <https://pro.arcgis.com/en/pro-app/latest/arcpy/get-started/arcgis-api-for-python.htm>.
 Provides various tools for installing and configuring a 'Conda' environment
 for accessing 'ArcGIS' geoprocessing functions. Helper functions for
 manipulating and converting 'ArcGIS' objects from R are also provided.

Package: r-cran-arctools
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2802
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lubridate, r-cran-runstats
Suggests: r-cran-testthat, r-cran-data.table, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-arctools_1.1.6-1.ca2004.1_all.deb
Size: 442828
MD5sum: e656170e76e582b2dc2e3543fdc23c99
SHA1: 982c7c6daaaa22c753c3518f4860caf8e891906a
SHA256: ae3516c8c8f29db17180f64e6afa4578f204c0db140bce04c93a0bdb016776be
SHA512: b8d42709d4f24de588c34c0b5d10bf2cc037f02a67c56d1f862c0edefa1f5aafba9d364faff26aa554cb7270c661d0ab19724d8aae9edc5f384790c0234e98be
Homepage: https://cran.r-project.org/package=arctools
Description: CRAN Package 'arctools' (Processing and Physical Activity Summaries of Minute LevelActivity Data)
 Provides functions to process minute level actigraphy-measured activity
 counts data and extract commonly used physical activity volume and
 fragmentation metrics.

Package: r-cran-ardec
Architecture: all
Version: 2.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ardec_2.1-1-1.ca2004.1_all.deb
Size: 407996
MD5sum: 34b26f13a0f1fee4d8c52cfc344e17a3
SHA1: b59c571dab1cdab9a0a6213adb67eee68bbd0ecc
SHA256: 9b41ea847b84e1f846e51172dc2d9163e4c030db7836e99bf4479d47bbf6c0e9
SHA512: f6de37ca89c100104a68938d44fcbc9987265b19c3d9716a52149d10aff6b951f709618a0e464f06135ee02fc5b0d5e97e2e20006e300ac7aa00dbaaa4019d79
Homepage: https://cran.r-project.org/package=ArDec
Description: CRAN Package 'ArDec' (Time Series Autoregressive-Based Decomposition)
 Autoregressive-based decomposition of a time series based on the approach in
 West (1997). Particular cases include the extraction of trend and seasonal
 components.

Package: r-cran-ardeco
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-ghql, r-cran-jsonlite, r-cran-stringr, r-cran-dplyr, r-cran-arrow, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-httptest2
Filename: pool/dists/focal/main/r-cran-ardeco_2.2.2-1.ca2004.1_all.deb
Size: 72552
MD5sum: cf5b8a64842ae9c22f08b2f7b54f8c53
SHA1: 9d5ee7c9dbf7d0b9539c5e9f846d7d8589320cd2
SHA256: 879e18c035e4921a942d22bafde3267966cb9f2b08ffb8ba60f1c38306ad999f
SHA512: 14c814c2cb16a00ccc4fc272fc5be9ada84f7182c8f3e886438c673aa7093042e476f1b21a79d78a1436c330ede22f627758b4656370e8b36a096403a6edaabf
Homepage: https://cran.r-project.org/package=ARDECO
Description: CRAN Package 'ARDECO' (Annual Regional Database of the European Commission (ARDECO))
 A set of functions to access the 'ARDECO' (Annual Regional Database of the
 European Commission) data directly from the official ARDECO public
 repository through the exploitation of the 'ARDECO' APIs.  The APIs are
 completely transparent to the user and the provided functions provide a
 direct access to the 'ARDECO' data.  The 'ARDECO' database is a collection
 of variables related to demography, employment, labour market, domestic
 product, capital formation.  Each variable can be exposed in one or more
 units of measure as well as refers to total values plus additional
 dimensions like economic sectors, gender, age classes. Data can be also
 aggregated at country level according to the tercet classes as defined by
 EUROSTAT.  The description of the 'ARDECO' database can be found at the
 following URL <https://urban.jrc.ec.europa.eu/ardeco>.

Package: r-cran-ardl.nardl
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gets, r-cran-plyr, r-cran-dplyr, r-cran-rlist, r-cran-nardl, r-cran-car, r-cran-lmtest, r-cran-texreg, r-cran-stringr, r-cran-tseries, r-cran-sandwich, r-cran-purrr, r-cran-tidyselect
Suggests: r-cran-dynamac
Filename: pool/dists/focal/main/r-cran-ardl.nardl_1.3.0-1.ca2004.1_all.deb
Size: 301392
MD5sum: 61720ce6566e39cc9d1623f49cbe8d05
SHA1: 514d51f822c937bcf759e31c21db9558155c99a0
SHA256: 62490bc050c6008ce122f8b38fd532f60b174d46362b0742860dc944e1da2493
SHA512: 3a6d357e2ead230836bc0b36b78d90c47b8434273244ad14a0b8d9c6b150f08ecad15782e9b942884272030e59008bd44c1fb55b572ded45e13c83030bcd98e7
Homepage: https://cran.r-project.org/package=ardl.nardl
Description: CRAN Package 'ardl.nardl' (Linear and Nonlinear Autoregressive Distributed Lag Models:General-to-Specific Approach)
 Estimate the linear and nonlinear autoregressive distributed lag (ARDL &
 NARDL) models and the corresponding error correction models, and test for
 longrun and short-run asymmetric. The general-to-specific approach is also
 available in estimating the ARDL and NARDL models. The Pesaran, Shin & Smith
 (2001) (<doi:10.1002/jae.616>) bounds test for level relationships is also
 provided. The 'ardl.nardl' package also performs short-run and longrun
 symmetric restrictions available at Shin et al. (2014)
 <doi:10.1007/978-1-4899-8008-3_9> and their corresponding tests.

Package: r-cran-ardl
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-aod, r-cran-dplyr, r-cran-dynlm, r-cran-gridextra, r-cran-ggplot2, r-cran-lmtest, r-cran-msm, r-cran-stringr, r-cran-zoo
Suggests: r-cran-strucchange, r-cran-tseries, r-cran-qpcr, r-cran-sandwich, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ardl_0.2.4-1.ca2004.1_all.deb
Size: 585448
MD5sum: d2fc4c90a1a2094166595295bbc9eb28
SHA1: 4dcf846f19589e7118d69253f2adf6fb6c68f11f
SHA256: 66a1ef4164c93e299442e1b48a728e0d3b005cf96108d66fde05082f84265cab
SHA512: 487c0b58ed17f58fe3d0eade2c7dc0094eeb373f76fee27b68b9859fb2ee27de1bd6d90c372bf848306ed65428d605db7d758c6dee55f02e2a8226324eb741ed
Homepage: https://cran.r-project.org/package=ARDL
Description: CRAN Package 'ARDL' (ARDL, ECM and Bounds-Test for Cointegration)
 Creates complex autoregressive distributed lag (ARDL) models and constructs
 the underlying unrestricted and restricted error correction model (ECM)
 automatically, just by providing the order. It also performs the bounds-test
 for cointegration as described in Pesaran et al. (2001)
 <doi:10.1002/jae.616> and provides the multipliers and the cointegrating
 equation. The validity and the accuracy of this package have been verified
 by successfully replicating the results of Pesaran et al. (2001) in
 Natsiopoulos and Tzeremes (2022) <doi:10.1002/jae.2919>.

Package: r-cran-ards
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ards_0.1.1-1.ca2004.1_all.deb
Size: 288436
MD5sum: d08596766d4db0bdc39bc5d87e67f41d
SHA1: 70c9ce96cc778e613f8e2876edcde21da8938ad5
SHA256: bc8d87ad328ae89c6fd9b798973b35fc9982144a969678534869c89b26cc11e3
SHA512: 9f407be926a6469dda4737b1ebacee3d12f181c14277c42ff5647125c37e51f6d432a344401a888cffa6cf0d67a2d45e4e33de4631d7d7f3d752262faec29164
Homepage: https://cran.r-project.org/package=ards
Description: CRAN Package 'ards' (Creates Analysis Results Datasets)
 Contains functions to help create an Analysis Results Dataset.  The dataset
 follows industry recommended structure.  The dataset can be created in
 multiple passes, using different data frames as input.  Analysis Results
 Datasets are used in the pharmaceutical and biotech industries to capture
 analysis in a common tabular data structure.

Package: r-cran-areabiplot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nipals
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-areabiplot_1.0.0-1.ca2004.1_all.deb
Size: 21916
MD5sum: 23ef247cb2c2b2e481fc3590660fa475
SHA1: 3146d4397a9a7e765383eec06ad8dd50856991b3
SHA256: 0362050a0ac5e402969ddfdea7754146a59e63a2df593f0cc0f674c964280bd9
SHA512: 36d1ec3d9c1a06445586d24fb1a6626418c06f3cb58190031cc78d50eaa0d1c0836defdeb3e93982d6c599240659e696f3a8676644f12337154dc096f45cead9
Homepage: https://cran.r-project.org/package=areabiplot
Description: CRAN Package 'areabiplot' (Area Biplot)
 Considering an (n x m) data matrix X, this package is based on the method
 proposed by Gower, Groener, and Velden (2010) <doi:10.1198/jcgs.2010.07134>,
 and utilize the resulting matrices from the extended version of the NIPALS
 decomposition to determine n triangles whose areas are used to visually
 estimate the elements of a specific column of X. After a 90-degree rotation
 of the sample points, the triangles are drawn regarding the following
 points: 1.the origin of the axes; 2.the sample points; 3. the vector
 endpoint representing some variable.

Package: r-cran-areal
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1941
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-areal_0.1.8-1.ca2004.1_all.deb
Size: 1429096
MD5sum: a299640814ea7f12ef6897637f94e9ac
SHA1: 27533e9b549701521687d8dcf6490e96fe5b84d4
SHA256: 39bf20c4fd4565fc995cc9405335eadeff8e789a01b334e7b3fd79bdd31b9aa9
SHA512: 83c075540ece7291652ebb69cdc462254b20e633567c97aba3d020e975d8a02bd46ce8020a3d9452534287c8de24d31df049f8137f0d8443f512397ce9dfa3f8
Homepage: https://cran.r-project.org/package=areal
Description: CRAN Package 'areal' (Areal Weighted Interpolation)
 A pipeable, transparent implementation of areal weighted interpolation with
 support for interpolating multiple variables in a single function call.
 These tools provide a full-featured workflow for validation and estimation
 that fits into both modern data management (e.g. tidyverse) and spatial data
 (e.g. sf) frameworks.

Package: r-cran-arealdb
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1758
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-beepr, r-cran-checkmate, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-magrittr, r-cran-ontologics, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rmapshaper, r-cran-stringr, r-cran-sf, r-cran-tabshiftr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-arealdb_0.9.4-1.ca2004.1_all.deb
Size: 550656
MD5sum: 14640d086e5df831ea7d07ce946a33f1
SHA1: 1828f22c7547c5159553ec310b9e575cad12d005
SHA256: 10fc76d77010ef257cf81ba46af82d9e29a97cd448d343b9dd06f78e4fa24708
SHA512: b172e76da6e9348097865e197cd67879e7baf77249065227afa3c3282757fa7b56babcceb36f4730ac07ffbda490287c2a83e79cb8d0d146ce9ca49d526abaf4
Homepage: https://cran.r-project.org/package=arealDB
Description: CRAN Package 'arealDB' (Harmonise and Integrate Heterogeneous Areal Data)
 Many relevant applications in the environmental and socioeconomic sciences
 use areal data, such as biodiversity checklists, agricultural statistics, or
 socioeconomic surveys. For applications that surpass the spatial, temporal
 or thematic scope of any single data source, data must be integrated from
 several heterogeneous sources. Inconsistent concepts, definitions, or messy
 data tables make this a tedious and error-prone process. 'arealDB' tackles
 those problems and helps the user to integrate a harmonised databases of
 areal data. Read the paper at Ehrmann, Seppelt & Meyer (2020)
 <doi:10.1016/j.envsoft.2020.104799>.

Package: r-cran-areaplot
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-areaplot_2.1.3-1.ca2004.1_all.deb
Size: 31760
MD5sum: e5096c354a3c238811ac09dd8add98e8
SHA1: 2bfc3c2fdaa3b187ef3e0c6f5f23518a466d815b
SHA256: 8cfaa7410b533788e4613d3fdd3e42e2e9451b3d643b1a3fb5fef64ad84e6b68
SHA512: 0cc822026534e748a31bd7617146bb0662876323233ff05442839b4994f1091064631f75d52bada2b640ef02441eb6d3dd62828dddf1eff3f36b0f3f05bcb8ca
Homepage: https://cran.r-project.org/package=areaplot
Description: CRAN Package 'areaplot' (Plot Stacked Areas and Confidence Bands as Filled Polygons)
 Plot stacked areas and confidence bands as filled polygons, or add polygons
 to existing plots. A variety of input formats are supported, including
 vectors, matrices, data frames, formulas, etc.

Package: r-cran-arena2r
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1826
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-tidyr, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-shiny, r-cran-shinydashboard, r-cran-shinybs, r-cran-shinyjs, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-arena2r_1.0.0-1.ca2004.1_all.deb
Size: 392492
MD5sum: 9ca9620a312d9824440f4ec94a753523
SHA1: b2aa03b9cbd5a0cc786d6dd51468e893ad693d19
SHA256: d6276c1b738f7ba23b2e2cc0fc797ed1c90811e66562039f2f9f4c7707e0ea6f
SHA512: 49565078798dbf81c6420b23ef89f5cde55187359f15ba8df2daa0932cf9243a2bb1d5c26dda53b9b0ee76a2c12f89c9f9b4768dd6836ad122a169a57a970c68
Homepage: https://cran.r-project.org/package=arena2r
Description: CRAN Package 'arena2r' (Plots, Summary Statistics and Tools for Arena Simulation Users)
 Reads Arena <https://www.arenasimulation.com/> CSV output files and
 generates nice tables and plots. The package contains a Shiny App that can
 be used to interactively visualize Arena's results.

Package: r-cran-arenar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ingredients, r-cran-ibreakdown, r-cran-gistr, r-cran-jsonlite, r-cran-plumber, r-cran-auditor, r-cran-dalex, r-cran-fairmodels
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-pkgdown, r-cran-covr, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-arenar_0.2.0-1.ca2004.1_all.deb
Size: 172228
MD5sum: 5171b5bf2a481a29028d0fa5d8c3ddda
SHA1: 5c5ad9ad72a3c2d5db80d532c4e1948a90133b67
SHA256: 8541c188c0d2ab137ac671b996efc87f8b352264094c63de7df41dd074fdee0c
SHA512: 5643c2cb3607711ee0fa349e80d48b0763bec266caa115973aba1e114275b7cedb1032f5f058b6522d4a481341432a11ada51448fa33ea0db55dd71220d9825f
Homepage: https://cran.r-project.org/package=arenar
Description: CRAN Package 'arenar' (Arena for the Exploration and Comparison of any ML Models)
 Generates data for challenging machine learning models in 'Arena'
 <https://arena.drwhy.ai> - an interactive web application. You can start the
 server with XAI (Explainable Artificial Intelligence) plots to be generated
 on-demand or precalculate and auto-upload data file beside shareable 'Arena'
 URL.

Package: r-cran-arf
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ranger, r-cran-foreach, r-cran-stringr, r-cran-truncnorm
Suggests: r-cran-ggplot2, r-cran-doparallel, r-cran-dofuture, r-cran-mlbench, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-palmerpenguins, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arf_0.2.4-1.ca2004.1_all.deb
Size: 493496
MD5sum: 311ca2689684d3e9d259b06b91a1928b
SHA1: bd486bc1b7e43d88e7a16837e44c62ccadcb7018
SHA256: 07dd499055e62b692dfb9a650f42fc928c90d730815f0ca594c40accda6bbf90
SHA512: 0bdeb25ee91488d45f65547b07ced45069de8eace4c8550043029dc89b66396a6b9ab885972986f82d141de306e4565b5f6be4da1bb0e6924acbdb26b19214fe
Homepage: https://cran.r-project.org/package=arf
Description: CRAN Package 'arf' (Adversarial Random Forests)
 Adversarial random forests (ARFs) recursively partition data into fully
 factorized leaves, where features are jointly independent. The procedure is
 iterative, with alternating rounds of generation and discrimination. Data
 becomes increasingly realistic at each round, until original and synthetic
 samples can no longer be reliably distinguished.  This is useful for several
 unsupervised learning tasks, such as density estimation and data synthesis.
 Methods for both are implemented in this package. ARFs naturally handle
 unstructured data with mixed continuous and categorical covariates. They
 inherit many of the benefits of random forests, including speed,
 flexibility, and solid performance with default parameters.  For details,
 see Watson et al. (2023)
 <https://proceedings.mlr.press/v206/watson23a.html>.

Package: r-cran-argentum
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-sf, r-cran-readr
Suggests: r-cran-testthat, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-argentum_1.0.0-1.ca2004.1_all.deb
Size: 52320
MD5sum: ee79d93dca27413dd276ebd25f2aa13f
SHA1: d3bf83e43f1560d35ac0a86c7451e0d8c06496e5
SHA256: 848df9b2c94483c3c90b764b6186d00e545e44249b3ca3f0ed8593af7eb866df
SHA512: c51ac60a4007d9f08e395f5a748867d35176e7bdeacaa45ebb00b932cc36192990731282b003ad0b8e1c022b01bb244e3d59f6f93181f2e5ce23feb1cf46c997
Homepage: https://cran.r-project.org/package=Argentum
Description: CRAN Package 'Argentum' (Access and Import WMS and WFS Data from Argentine Organizations)
 Provides functions to retrieve information from Web Feature Service (WFS)
 and Web Map Service (WMS) layers from various Argentine organizations and
 import them into R for further analysis.  WFS and WMS are standardized
 protocols for serving georeferenced map data over the internet.  For more
 information on these services, see
 <https://www.ogc.org/publications/standard/wfs/> and
 <https://www.ogc.org/publications/standard/wms/>.

Package: r-cran-argo
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2596
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xts, r-cran-glmnet, r-cran-zoo, r-cran-xml, r-cran-xtable, r-cran-matrix, r-cran-boot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-argo_3.0.2-1.ca2004.1_all.deb
Size: 825160
MD5sum: 001d4e553b55388b6deb13bf416ad82c
SHA1: 5b460ba309f1aef9ed87d70faf50f210d37de11e
SHA256: 42a564fea13e7f0ef6942455c38ef534d23a9eb3a5a6c5eeec87779a8840fb7f
SHA512: ac3ae34edb8ebdaec359dfa51bd8f09047184d67a456168f1f495c9b07348f9c329e47ef2206116073016bc93a8279f86c9f020c4662b1c258d118019a69970c
Homepage: https://cran.r-project.org/package=argo
Description: CRAN Package 'argo' (Accurate Estimation of Influenza Epidemics using Google SearchData)
 Augmented Regression with General Online data (ARGO) for accurate estimation
 of influenza epidemics in United States on national level, regional level
 and state level. It replicates the method introduced in paper Yang, S.,
 Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112>; Ning, S.,
 Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>; Yang, S.,
 Ning, S. and Kou, S.C. (2021) <doi:10.1038/s41598-021-83084-5>.

Package: r-cran-argofloats
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3677
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-oce
Suggests: r-cran-colourpicker, r-cran-curl, r-cran-knitr, r-cran-lubridate, r-cran-markdown, r-cran-ncdf4, r-cran-ocedata, r-cran-rmarkdown, r-cran-shiny, r-cran-s2, r-cran-sf, r-cran-testthat, r-cran-shinybs
Filename: pool/dists/focal/main/r-cran-argofloats_1.0.7-1.ca2004.1_all.deb
Size: 1689168
MD5sum: 558af26c24254fc9594911bad44573af
SHA1: 3ca103f93d798254ba24317ee99ae87c5ba48c95
SHA256: 0f56c5b3fb6062d97ce5d5656570e60290c4da3b0c7da5e7fa029494a8afaa01
SHA512: d7a91011e494bd21784bbb0cd43b1ea59bf25b29a7a4f8da6a2515558e51e7dbc1e1abba9a8f398a45036356ecfabf27e200e33e464dc23e5711a3e7b2875571
Homepage: https://cran.r-project.org/package=argoFloats
Description: CRAN Package 'argoFloats' (Analysis of Oceanographic Argo Floats)
 Supports the analysis of oceanographic data recorded by Argo autonomous
 drifting profiling floats. Functions are provided to (a) download and cache
 data files, (b) subset data in various ways, (c) handle quality-control
 flags and (d) plot the results according to oceanographic conventions. A
 shiny app is provided for easy exploration of datasets. The package is
 designed to work well with the 'oce' package, providing a wide range of
 processing capabilities that are particular to oceanographic analysis. See
 Kelley, Harbin, and Richards (2021) <doi:10.3389/fmars.2021.635922> for more
 on the scientific context and applications.

Package: r-cran-argondash
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4376
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-argonr
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-argondash_0.2.5-1.ca2004.1_all.deb
Size: 1806736
MD5sum: 5b7da8804537d4fc38acbdfe89703bb4
SHA1: 8d71c11fd012cf224977d8140eedef501243fa29
SHA256: 1438d94403343cc27aa90e25d9b1724871fc2fc697214a8660196d0a2a644069
SHA512: bfa582285aefb71fadfe7c176d35f69c5290ba148ec0ce48c05f4ed3c371b5176fd6f52b15080bdf32ffe4ef2ba8678ade75cf2a7c81656b9db412e2010fcb97
Homepage: https://cran.r-project.org/package=argonDash
Description: CRAN Package 'argonDash' (Argon Shiny Dashboard Template)
 Create awesome 'Bootstrap 4' dashboards powered by 'Argon'.

Package: r-cran-argonr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-rstudioapi
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-argonr_0.2.0-1.ca2004.1_all.deb
Size: 1147176
MD5sum: b0627d9d2204c55bfa18cfe2af24b5bf
SHA1: 75a814016c11f3f9740c908608e1988f2d56a055
SHA256: 2cf9e91bcb5c61a1fc014b1e850af3bcb9182067b255894d1b9b98df0db2a207
SHA512: 2a1f88736c0b769fbb6cd76afcec07340dbb9feae87b94e690221bbc307dc0cf8a5a33061a4ecdbe58a21ef63e3508e8bff8e3f9233b084655043d91c8882987
Homepage: https://cran.r-project.org/package=argonR
Description: CRAN Package 'argonR' (R Interface to Argon HTML Design)
 R wrapper around the argon HTML library.  More at
 <https://demos.creative-tim.com/argon-design-system/>.

Package: r-cran-argos
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-metrics, r-cran-boot, r-cran-tidyverse, r-cran-magrittr, r-cran-tidyr, r-cran-signal, r-cran-desolve
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-argos_0.1.1-1.ca2004.1_all.deb
Size: 79804
MD5sum: cd1c12b5022c41e380492f208305076c
SHA1: 006a3ad34cfd78a2d1f30de1b8dc0d3e674b9416
SHA256: c835b85635146af4050ec29e610bb31c3f5856f0d02e15b6f8bef78ebd4048b9
SHA512: 4cac3fd9ca374217a0df1f79f482aacfa88e5181d91392651c345250f061f18f582af5358e292ca5b3bcf444b4a355259e7288db4ae43dbc91a0cfb450ac9bbf
Homepage: https://cran.r-project.org/package=ARGOS
Description: CRAN Package 'ARGOS' (Automatic Regression for Governing Equations (ARGOS))
 Comprehensive set of tools for performing system identification of both
 linear and nonlinear dynamical systems directly from data. The Automatic
 Regression for Governing Equations (ARGOS) simplifies the complex task of
 constructing mathematical models of dynamical systems from observed input
 and output data, supporting various types of systems, including those
 described by ordinary differential equations. It employs optimal numerical
 derivatives for enhanced accuracy and employs formal variable selection
 techniques to help identify the most relevant variables, thereby enabling
 the development of predictive models for system behavior analysis.

Package: r-cran-argosfilter
Architecture: all
Version: 0.70-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-argosfilter_0.70-1.ca2004.1_all.deb
Size: 56648
MD5sum: 30f2d6457d04f2fd96f000a306244b65
SHA1: 5815f978d92e3a7bc2ac93f0e2e08d1d6fa8c6ee
SHA256: cdfa039235c532d4159adb6dc112399ea829f7b87ebd5eca2d96eb0598cd4acb
SHA512: b00f11f0f8d9dab0fcd67c60ef28e084b7a5b96b6890487db91a7c1a23ce43864d1d544433b04d05aeeefe336ae7a7f151d486b26cf8678a52e56b41055f3c6c
Homepage: https://cran.r-project.org/package=argosfilter
Description: CRAN Package 'argosfilter' (Argos Locations Filter)
 Filters animal satellite tracking data obtained from the Argos
 system(<https://www.argos-system.org/>), following the algorithm described
 in Freitas et al (2008) <doi:10.1111/j.1748-7692.2007.00180.x>. It is
 especially indicated for telemetry studies of marine animals, where Argos
 locations are predominantly of low-quality.

Package: r-cran-argparse
Architecture: all
Version: 2.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-findpython, r-cran-jsonlite, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-argparse_2.2.5-1.ca2004.1_all.deb
Size: 141316
MD5sum: 4da6f83edb2d1f162b35bfade347e315
SHA1: c0165823554c013dd8dea245d658c71bc5b8d789
SHA256: d0abe567a3764727b5ef0726e26e4afe5054e8e61e7f3414c9a91b38649ab929
SHA512: 92aee5bdb871aedf61f09a9f6fa718f282db4d1171429b581da19e87ce20b2bd32748e844fea6c6bb03d1bd8b0ed4ef527771c9936f508ff5be4bf7684b00dde
Homepage: https://cran.r-project.org/package=argparse
Description: CRAN Package 'argparse' (Command Line Optional and Positional Argument Parser)
 A command line parser to be used with 'Rscript' to write "#!" shebang
 scripts that gracefully accept positional and optional arguments and
 automatically generate usage.

Package: r-cran-argparser
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-argparser_0.7.2-1.ca2004.1_all.deb
Size: 56776
MD5sum: 2505141b2a3599b2d7c122bd2cd6b68b
SHA1: a4309a5a5e7dc971f987f315c86492455b5da69e
SHA256: 0c075c7fd4601dac6cae46cd1c3a5b64053e6f6281cfaeae6b10d97cf4b4ba63
SHA512: 4549df17d3aacb4bdc517aa0e44a2837704ca50a3879ec4217cab8e5e2697518a0330f3f2372d20774a407252a00b5662f817247fbcd0c39f1accbb085a03c5d
Homepage: https://cran.r-project.org/package=argparser
Description: CRAN Package 'argparser' (Command-Line Argument Parser)
 Cross-platform command-line argument parser written purely in R with no
 external dependencies. It is useful with the Rscript front-end and
 facilitates turning an R script into an executable script.

Package: r-cran-arht
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arht_0.1.0-1.ca2004.1_all.deb
Size: 53356
MD5sum: 07896442e966bc7be7cad1c5eadd98aa
SHA1: 1605cfcc6681fb10b2fbf9fd5addf5e9f4db98d3
SHA256: 86f83617207ff008eec5cd623fa87ce442eea4e75a3df76778b9815f3c3e436d
SHA512: f8a2387c7eef54cec19bdbab054814e9328f97f252cf75b92feb6134830b557424ba4bae02983b2b0807ef689d60b45349ddc88ba3b568dea92c65b71aa72924
Homepage: https://cran.r-project.org/package=ARHT
Description: CRAN Package 'ARHT' (Adaptable Regularized Hotelling's T^2 Test for High-DimensionalData)
 Perform the Adaptable Regularized Hotelling's T^2 test (ARHT) proposed by Li
 et al., (2016) <arXiv:1609.08725>. Both one-sample and two-sample mean test
 are available with various probabilistic alternative prior models. It
 contains a function to consistently estimate higher order moments of the
 population covariance spectral distribution using the spectral of the sample
 covariance matrix (Bai et al. (2010)
 <doi:10.1111/j.1467-842X.2010.00590.x>).  In addition, it contains a
 function to sample from 3-variate chi-squared random vectors approximately
 with a given correlation matrix when the degrees of freedom are large.

Package: r-cran-ari
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-text2speech, r-cran-tuner, r-cran-webshot, r-cran-purrr, r-cran-rmarkdown, r-cran-xml2, r-cran-rvest, r-cran-progress, r-cran-hms
Suggests: r-cran-testthat, r-cran-xaringan, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ari_0.3.5-1.ca2004.1_all.deb
Size: 225324
MD5sum: 4b2f8330c9e0a42fdbbab510064d5f8c
SHA1: 76bb1311047978e10ec29a2d0c7a91ee29243c24
SHA256: 5cea457b127c2f1370bd83b814b589c2646a38682fce143050abb1e6977e7dba
SHA512: 3dd99ca1254cfbab6e96b73dbfc358d3507e3bcc5ac41d6e0afae4a1f3b0da45a67e3b0d602ecdadec8df234cbdb7b692cc4c5e852bb5f69fca3c10733127881
Homepage: https://cran.r-project.org/package=ari
Description: CRAN Package 'ari' (Automated R Instructor)
 Create videos from 'R Markdown' documents, or images and audio files. These
 images can come from image files or HTML slides, and the audio files can be
 provided by the user or computer voice narration can be created using
 'Amazon Polly'. The purpose of this package is to allow users to create
 accessible, translatable, and reproducible lecture videos. See
 <https://aws.amazon.com/polly/> for more information.

Package: r-cran-aribrain
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hommel, r-cran-rnifti, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-aribrain_0.2-1.ca2004.1_all.deb
Size: 1238104
MD5sum: bbf1c56191b0c79dbd9235a0f5f41d0b
SHA1: 81ced5718a2283d2b67f9838d9d8308b3c211c53
SHA256: d067a5090067195fca3cf7b5d56c869d50248b3f2cdd3b6125c899e6d017ff4f
SHA512: ded414f5e763430d9cac0a41cf0a529296eec0ac92bb4b4447f15916c933c78d8eaad27d1000be1890fff5fa2e9c9260f12b9e110430da6739d2ea0035fe5de3
Homepage: https://cran.r-project.org/package=ARIbrain
Description: CRAN Package 'ARIbrain' (All-Resolution Inference)
 It performs All-Resolutions Inference (ARI) on functional Magnetic Resonance
 Image (fMRI) data. As a main feature, it estimates lower bounds for the
 proportion of active voxels in a set of clusters as, for example, given by a
 cluster-wise analysis.  The method is described in Rosenblatt, Finos, Weeda,
 Solari, Goeman (2018) <doi:10.1016/j.neuroimage.2018.07.060>.

Package: r-cran-ariextra
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-ari, r-cran-rmarkdown, r-cran-pdftools, r-cran-rvest, r-cran-magrittr, r-cran-mime, r-cran-jsonlite, r-cran-text2speech, r-cran-docxtractr, r-cran-tuner, r-cran-yaml
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-pagedown, r-cran-webshot, r-cran-rstudioapi, r-cran-base64enc, r-cran-xaringan
Filename: pool/dists/focal/main/r-cran-ariextra_0.3.1-1.ca2004.1_all.deb
Size: 365504
MD5sum: 566eea40e67635cc084690b287d34b7e
SHA1: 03ca30039dd49126f6314591c0d7568d2a757d0c
SHA256: a49527b255e49bc0ff20dcb6808437e7512e648921c5e12747174e3c02c5c33d
SHA512: d24dfb40cff3f3d0a367323d6e6b5dc62068aff7b5a2e96407c0dab1264c5ef9e05add5081bc7164d5602f38c3bf0e18091da8cae1bc117fd49c40078029627d
Homepage: https://cran.r-project.org/package=ariExtra
Description: CRAN Package 'ariExtra' (Tools for Creating Automated Courses)
 Leverages the 'ari' package and other tools to create automated courses from
 slides and a script.  Also, uploads these to 'YouTube' and other services
 using 'tuber' package.

Package: r-cran-arigamyannsvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-allmetrics, r-cran-describedf, r-cran-dplyr, r-cran-psych, r-cran-fints, r-cran-tseries, r-cran-forecast, r-cran-fgarch, r-cran-atsa, r-cran-neuralnet, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-arigamyannsvr_0.1.0-1.ca2004.1_all.deb
Size: 46284
MD5sum: a4173ee5a6c6b43be55274358b795647
SHA1: 4678fe9fb2621ef22559b471e14a3e008bfc684a
SHA256: f4e4c3f56136861776d7995d9bcf2a8ea653a5d8f17c1c0140e115f71b31d321
SHA512: ededd40768d24f9092b2bf891aff3a0481b0692f51ed93530b4b7257cae37853fbd8e5767ad3addab94e7addc288899eb73869318883a16e160bebd7b0e570c7
Homepage: https://cran.r-project.org/package=AriGaMyANNSVR
Description: CRAN Package 'AriGaMyANNSVR' (Hybrid ARIMA-GARCH and Two Specially Designed ML-Based Models)
 Describes a series first. After that does time series analysis using one
 hybrid model and two specially structured Machine Learning (ML) (Artificial
 Neural Network or ANN and Support Vector Regression or SVR) models. More
 information can be obtained from Paul and Garai (2022)
 <doi:10.1007/s41096-022-00128-3>.

Package: r-cran-arimaann
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-forecast, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-arimaann_0.1.0-1.ca2004.1_all.deb
Size: 12616
MD5sum: c3a2537ea052ced7d0f5975b36aecc3c
SHA1: b5bc358df9d678d4bd24dd0beeb0fcf77180d3c7
SHA256: fdd057679c25c8aaf6db4333efdf4e7da1065a73d1543914ccd617458315cdc5
SHA512: 65d1ef7b209420b0b16735ffda5b2dba12ef0a10efe7c200151ae9a2250196146e47b25fe53cf39e2438d7220dc69e6f9bbfa99943bd1cbc1dd37f59036ab906
Homepage: https://cran.r-project.org/package=ARIMAANN
Description: CRAN Package 'ARIMAANN' (Time Series Forecasting using ARIMA-ANN Hybrid Model)
 Testing, Implementation, and Forecasting of the ARIMA-ANN hybrid model. The
 ARIMA-ANN hybrid model combines the distinct strengths of the
 Auto-Regressive Integrated Moving Average (ARIMA) model and the Artificial
 Neural Network (ANN) model for time series forecasting.For method details
 see Zhang, GP (2003) <doi:10.1016/S0925-2312(01)00702-0>.

Package: r-cran-arkdb
Architecture: all
Version: 0.0.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi
Suggests: r-cran-arrow, r-cran-r.utils, r-cran-progress, r-cran-readr, r-cran-spelling, r-cran-dplyr, r-cran-dbplyr, r-cran-nycflights13, r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-fs, r-cran-rmarkdown, r-cran-rsqlite, r-cran-duckdb, r-cran-vroom, r-cran-utf8, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-arkdb_0.0.18-1.ca2004.1_all.deb
Size: 162436
MD5sum: 77dde76c31604250af95cc93f7239372
SHA1: 34c6f33438f4afc3732ee2fce9c20ae2d7a6c3dd
SHA256: 58f4ebc5a5b4053d2c53fba2acedbc9aef01085d5edce966d755efd70f02262c
SHA512: 59e6b761a750790a4a0a229f1dd8ff745e02e8dc683012443efd80093f5dad1b190797aa9006ecf47e70859db4c4b489ad7541bd898f3e398482e01490b2b0db
Homepage: https://cran.r-project.org/package=arkdb
Description: CRAN Package 'arkdb' (Archive and Unarchive Databases Using Flat Files)
 Flat text files provide a robust, compressible, and portable way to store
 tables from databases.  This package provides convenient functions for
 exporting tables from relational database connections into compressed text
 files and streaming those text files back into a database without requiring
 the whole table to fit in working memory.

Package: r-cran-arkhe
Architecture: all
Version: 1.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-arkhe_1.11.0-1.ca2004.1_all.deb
Size: 407676
MD5sum: 97d308eb24287bc88b5dbc614bef7e46
SHA1: 8e9b1f2371b4dea5712434e4418a60186b9a83c9
SHA256: 19c0d609e7e982e521e6b409c7af35f913eb48bbebc8a92c403bc1b53ba08460
SHA512: 0df32ba5a96e5477d562bef8822408d654e3b17792ddbf710d2144bbac558e900a39127fd1a287f774c73f2cd936f54261c7677394ec2d0211287d3e14540677
Homepage: https://cran.r-project.org/package=arkhe
Description: CRAN Package 'arkhe' (Tools for Cleaning Rectangular Data)
 A dependency-free collection of simple functions for cleaning rectangular
 data. This package allows to detect, count and replace values or discard
 rows/columns using a predicate function. In addition, it provides tools to
 check conditions and return informative error messages.

Package: r-cran-arlclustering
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4774
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-arules
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-arlclustering_1.0.5-1.ca2004.1_all.deb
Size: 770016
MD5sum: 49a282442c0d4953d9d099b1c82f869f
SHA1: 18ab62b3b153a6515aa38390cca4624f2ea2b9d6
SHA256: 56af8534125e4ecb6f22cd26fd894850da1c105b81e341439a8c0bc48ed887ce
SHA512: 9d9b488167e78324c0673ae8b0c9899e5ef353271e2f17eb5c45bdad17d33d3066ad74a8bb3dc75b231ad0a41c573fe427dca3ddc81a86cfcd71e36908210a85
Homepage: https://cran.r-project.org/package=arlclustering
Description: CRAN Package 'arlclustering' (Exploring Social Network Structures Through Friendship-DrivenCommunity Detection with Association Rules Mining)
 Implements an innovative approach to community detection in social networks
 using Association Rules Learning. The package provides tools for processing
 graph and rules objects, generating association rules, and detecting
 communities based on node interactions. Designed to facilitate advanced
 research in Social Network Analysis, this package leverages association
 rules learning for enhanced community detection. This approach is described
 in El-Moussaoui et al. (2021) <doi:10.1007/978-3-030-66840-2_3>.

Package: r-cran-arm
Architecture: all
Version: 1.14-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-lme4, r-cran-abind, r-cran-coda, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-arm_1.14-4-1.ca2004.1_all.deb
Size: 424568
MD5sum: 11b842f09ab7c26bd9ac3f35dae1b75e
SHA1: 393311d0cb4bd03034d1bebcc4bbe9e82d4a2e15
SHA256: 6d758b7a82291bcc2b0747072d4e2ac41d44c91506cdec8b72cd742e4c0627e7
SHA512: 5933d358f8b5e1010b7b874d3b8a3d3a08ad00d85a55f689f2533343a2ee47f7c19f0cec5318ad19aefcf0a26f56636f4c69abe04d7a7f213f044546609512b2
Homepage: https://cran.r-project.org/package=arm
Description: CRAN Package 'arm' (Data Analysis Using Regression and Multilevel/HierarchicalModels)
 Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression
 and Multilevel/Hierarchical Models, Cambridge University Press, 2007.

Package: r-cran-armada
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-clustofvar, r-cran-famt, r-cran-vsurf, r-cran-glmnet, r-cran-anapuce, r-bioc-qvalue, r-cran-doparallel, r-bioc-impute, r-bioc-complexheatmap, r-cran-circlize
Filename: pool/dists/focal/main/r-cran-armada_0.1.0-1.ca2004.1_all.deb
Size: 99928
MD5sum: 7acffe067933cd37a8341590674e574a
SHA1: 7ca94d3c923e6f66187c1be4e36c2fa768c8d51e
SHA256: 4575e2086974376bcd0d253f80d753687d2c9c768af29fa7962fde043cb88185
SHA512: 84f10837b613d3e78c51562a05bb3fe1e4bf0aa0ef54bc0bce7e87bf84aee5fe233d6717760e90f9dcf2b4614b065e7023405600c9e8a133964992ba30999c75
Homepage: https://cran.r-project.org/package=armada
Description: CRAN Package 'armada' (A Statistical Methodology to Select Covariates inHigh-Dimensional Data under Dependence)
 Two steps variable selection procedure in a context of high-dimensional
 dependent data but few observations. First step is dedicated to eliminate
 dependence between variables (clustering of variables, followed by factor
 analysis inside each cluster).  Second step is a variable selection using by
 aggregation of adapted methods.  Bastien B., Chakir H., Gegout-Petit A.,
 Muller-Gueudin A., Shi Y.  A statistical methodology to select covariates in
 high-dimensional data under dependence.  Application to the classification
 of genetic profiles associated with outcome of a non-small-cell lung cancer
 treatment. 2018. <https://hal.archives-ouvertes.fr/hal-01939694>.

Package: r-cran-armadillo
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5816
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cpp11, r-cran-desc, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-armadillo_0.3.0-1.ca2004.1_all.deb
Size: 444932
MD5sum: 4e04240869ca58987a27cbde305e3eaf
SHA1: 16ada21868d6a61fed25c237c31b34e92766137f
SHA256: 88121ecab2e520e601312062ff542bfb62d6fb32f9f2999e7f4198be68b0e681
SHA512: d8ed871f93b8ca2de04f34f7d000d793e4491c9261ade94cae7486c4205ec0055eeec6d25d096183e5429a35e359d91b6b8f88e84828d8d085cb65f79c30c881
Homepage: https://cran.r-project.org/package=armadillo
Description: CRAN Package 'armadillo' (An 'Armadillo' Interface)
 Provides function declarations and inline function definitions that
 facilitate communication between R and the 'Armadillo' 'C++' library for
 linear algebra and scientific computing.

Package: r-cran-armalstm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rugarch, r-cran-tseries, r-cran-tensorflow, r-cran-keras, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-armalstm_0.1.0-1.ca2004.1_all.deb
Size: 24872
MD5sum: b483d5ab1797b402f70acd3ab6240dd9
SHA1: eda0f46ba3539f67fdadc5c416316b5471a4599b
SHA256: 6f4af4f094dd65b7690ea05c596c4e22ea91603d6bfd7be0b9718ddc9879cb38
SHA512: 5b950c549eca80dbf78968009bc09098b3e255354289ccf60a86d3df92963c24cb317bc5bf6e59054165dc2cee18a4edb0df9b68f62c6881dab1634ce03b4cea
Homepage: https://cran.r-project.org/package=ARMALSTM
Description: CRAN Package 'ARMALSTM' (Fitting of Hybrid ARMA-LSTM Models)
 The real-life time series data are hardly pure linear or nonlinear. Merging
 a linear time series model like the autoregressive moving average (ARMA)
 model with a nonlinear neural network model such as the Long Short-Term
 Memory (LSTM) model can be used as a hybrid model for more accurate modeling
 purposes. Both the autoregressive integrated moving average (ARIMA) and
 autoregressive fractionally integrated moving average (ARFIMA) models can be
 implemented. Details can be found in Box et al. (2015, ISBN:
 978-1-118-67502-1) and Hochreiter and Schmidhuber (1997)
 <doi:10.1162/neco.1997.9.8.1735>.

Package: r-cran-arnie
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-arnie_0.1.2-1.ca2004.1_all.deb
Size: 15996
MD5sum: 66decbbda4e79b8f274135250a7e1ed6
SHA1: 1b82f15e7b0bc787bab0b78e16fe768c239adb60
SHA256: d9ba0419808db3a5aeeb13d70278035af491ed9aaeb09ac2f2e502746f0b1161
SHA512: b238ae4e66745a7f182d01f7093ebe98c23cdc45360c0cf4a2e25e3761eeac5ad4688cebb9c85ddd5deaeb781db9588d5274fc46ef86425897ed1fa10c9f35b1
Homepage: https://cran.r-project.org/package=arnie
Description: CRAN Package 'arnie' ("Arnie" box office records 1982-2014)
 Arnold Schwarzenegger movie weekend box office records from 1982-2014

Package: r-cran-aroc
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-np, r-cran-matrix, r-cran-hmisc, r-cran-mass, r-cran-moments, r-cran-nor1mix, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-aroc_1.0-4-1.ca2004.1_all.deb
Size: 200476
MD5sum: 50f59ace6c713d38ac2e135405b698d0
SHA1: 7d429482e33e311b375661279e9bd5505496e705
SHA256: d6fbe57cab87899c30fd6eae34557e360dfa88fa9c6d665acd8751b760149bd4
SHA512: 2272d1ca8e22c8a5676fddf8348c63f52e8c7ae416d312b51e2ebb4dab9d6ee37ccd778e938649dec264e1d8c63feced018dec59da0a4bb1af0e0dd6f4fa2970
Homepage: https://cran.r-project.org/package=AROC
Description: CRAN Package 'AROC' (Covariate-Adjusted Receiver Operating Characteristic CurveInference)
 Estimates the covariate-adjusted Receiver Operating Characteristic (AROC)
 curve and pooled (unadjusted) ROC curve by different methods. Inacio de
 Carvalho, V., and Rodriguez-Alvarez, M. X. (2018) <arXiv:1806.00473>. NOTE:
 We have created a new package, 'ROCnReg', with more functionalities. It also
 implements all the methods included in 'AROC'. We, therefore, recommend
 using 'ROCnReg' ('AROC' will no longer be maintained).

Package: r-cran-aroma.affymetrix
Architecture: all
Version: 3.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4855
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.utils, r-cran-aroma.core, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.cache, r-cran-r.devices, r-cran-r.filesets, r-cran-aroma.apd, r-cran-mass, r-cran-matrixstats, r-cran-listenv, r-cran-future
Suggests: r-cran-dbi, r-cran-gsmoothr, r-cran-rcolorbrewer, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-affxparser, r-bioc-affy, r-bioc-affyplm, r-bioc-aroma.light, r-bioc-gcrma, r-bioc-limma, r-bioc-oligo, r-bioc-oligoclasses, r-bioc-pdinfobuilder, r-bioc-preprocesscore, r-bioc-affymetrixdatatestfiles, r-cran-dchipio
Filename: pool/dists/focal/main/r-cran-aroma.affymetrix_3.2.2-1.ca2004.1_all.deb
Size: 3518608
MD5sum: 8246404145bf61fe2894364534ece462
SHA1: 667509efb02622a718cce5483b8d078858bb6349
SHA256: f075babb2fb9748b40406739cd71f11e84ff832d6898d5ba6ccecd91194917a8
SHA512: 03d8c7eaeefbd4cd3bd2a096e978ceba2bae8df4b62952f7c45064658c95a11eca1a994084cf39f67082d3c375389980f508f4ba956b20dd28fef2efb2a58102
Homepage: https://cran.r-project.org/package=aroma.affymetrix
Description: CRAN Package 'aroma.affymetrix' (Analysis of Large Affymetrix Microarray Data Sets)
 A cross-platform R framework that facilitates processing of any number of
 Affymetrix microarray samples regardless of computer system.  The only
 parameter that limits the number of chips that can be processed is the
 amount of available disk space.  The Aroma Framework has successfully been
 used in studies to process tens of thousands of arrays.  This package has
 actively been used since 2006.

Package: r-cran-aroma.apd
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-r.huge
Suggests: r-bioc-affxparser
Filename: pool/dists/focal/main/r-cran-aroma.apd_0.7.1-1.ca2004.1_all.deb
Size: 117416
MD5sum: 5c7bde13901fdeff9901b47a3deff955
SHA1: a2f2a6bded2a2b06204598d64d2456f97a0b5839
SHA256: 2a6ce05f4c7ed8dd09eabfc8dc1b3215fdd3855b962c2f2f0c30e8bc63074ec2
SHA512: b7c5f0460113877f0e61dc1817b3167238717ebef0aad65944da1c6a474975a109b300bd9b5572ed688656a6805630e31ca553263ef6a12938386894c318d018
Homepage: https://cran.r-project.org/package=aroma.apd
Description: CRAN Package 'aroma.apd' (A Probe-Level Data File Format Used by 'aroma.affymetrix'[deprecated])
 DEPRECATED. Do not start building new projects based on this package. (The
 (in-house) APD file format was initially developed to store Affymetrix
 probe-level data, e.g. normalized CEL intensities.  Chip types can be added
 to APD file and similar to methods in the affxparser package, this package
 provides methods to read APDs organized by units (probesets).  In addition,
 the probe elements can be arranged optimally such that the elements are
 guaranteed to be read in order when, for instance, data is read unit by
 unit.  This speeds up the read substantially.  This package is supporting
 the Aroma framework and should not be used elsewhere.)

Package: r-cran-aroma.cn
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 866
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.utils, r-cran-aroma.core, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.filesets, r-cran-r.cache, r-cran-matrixstats, r-cran-pscbs, r-cran-future.apply
Suggests: r-bioc-aroma.light, r-bioc-dnacopy, r-bioc-glad
Filename: pool/dists/focal/main/r-cran-aroma.cn_1.7.1-1.ca2004.1_all.deb
Size: 554328
MD5sum: e51de37c77dc05a335367702e5d8c71c
SHA1: 96f1dee4ff05c8c01f3da90ddcb426a52983e876
SHA256: c711840d117a322dd0933282560c23c23e1c32c7d78ca303903cc87499fa1834
SHA512: 9b6fcde9a203e0d9b2e3d19b9ac862b2f3daab9f38dc8565b719bb667be345d007549cb9c0c87a064068280b46c686b1f60f0ae38e858025224e6463756ac2b8
Homepage: https://cran.r-project.org/package=aroma.cn
Description: CRAN Package 'aroma.cn' (Copy-Number Analysis of Large Microarray Data Sets)
 Methods for analyzing DNA copy-number data.  Specifically, this package
 implements the multi-source copy-number normalization (MSCN) method for
 normalizing copy-number data obtained on various platforms and technologies.
 It also implements the TumorBoost method for normalizing paired tumor-normal
 SNP data.

Package: r-cran-aroma.core
Architecture: all
Version: 3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2262
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.utils, r-cran-r.filesets, r-cran-r.devices, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.cache, r-cran-r.rsp, r-cran-matrixstats, r-cran-rcolorbrewer, r-cran-pscbs, r-cran-listenv, r-cran-future, r-cran-biocmanager
Suggests: r-cran-kernsmooth, r-cran-png, r-cran-cairo, r-bioc-ebimage, r-bioc-preprocesscore, r-bioc-aroma.light, r-bioc-dnacopy, r-bioc-glad
Filename: pool/dists/focal/main/r-cran-aroma.core_3.3.1-1.ca2004.1_all.deb
Size: 1872884
MD5sum: 96a8f72e68d97156a784bb74c1a45394
SHA1: ca4092fe8fb46b4e8e7e3b4abec9abef03ea17c0
SHA256: 5d9f87627ca9f24f7ee8a4f266d3ad50e87ca437607eafef239c45f4de5a1169
SHA512: 61112f563103981b29373761703bbec142f2695ff0c22e776e849ac290d4ec1a67ca6052dbb4f8fc7450c003bce603d932a782b6a97ef8d5dd295aef2a64ddfa
Homepage: https://cran.r-project.org/package=aroma.core
Description: CRAN Package 'aroma.core' (Core Methods and Classes Used by 'aroma.*' Packages Part of theAroma Framework)
 Core methods and classes used by higher-level 'aroma.*' packages part of the
 Aroma Project, e.g. 'aroma.affymetrix' and 'aroma.cn'.

Package: r-cran-arothron
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5424
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind, r-cran-alphashape3d, r-cran-compositions, r-cran-doparallel, r-cran-foreach, r-cran-geometry, r-cran-morpho, r-cran-rgl, r-cran-rvcg, r-cran-stringr, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-arothron_2.0.5-1.ca2004.1_all.deb
Size: 5497020
MD5sum: 284963d76292c2c3b3b326f45123fd8f
SHA1: b69bdd00e1369dd4f2a54d3f38d939c8d24982dc
SHA256: c07699696280c5e8275ad6c7ad5e70158c9ea48ced826d80c823292da3200a33
SHA512: dbf5637a8c846baf7b2b926d2bd0e33425993d812688c0b9d47bab62861df0682971b3fcd162fe057afd4cf9050648e1a6936f446b8f898a21aa749427c92d66
Homepage: https://cran.r-project.org/package=Arothron
Description: CRAN Package 'Arothron' (Geometric Morphometric Methods and Virtual Anthropology Tools)
 Tools for geometric morphometric analysis. The package includes tools of
 virtual anthropology to align two not articulated parts belonging to the
 same specimen, to build virtual cavities as endocast (Profico et al, 2021
 <doi:10.1002/ajpa.24340>).

Package: r-cran-arpaldata
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyselect, r-cran-dplyr, r-cran-lubridate, r-cran-rlang, r-cran-readr, r-cran-stringr, r-cran-tm, r-cran-tidyr, r-cran-purrr, r-cran-eurostat, r-cran-sf, r-cran-ggplot2, r-cran-tibble, r-cran-aweek, r-cran-curl, r-cran-archive, r-cran-future, r-cran-future.apply
Suggests: r-cran-tidyverse, r-cran-rsocrata, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-arpaldata_1.6.1-1.ca2004.1_all.deb
Size: 206204
MD5sum: 228a9a96e202dff73603e3177022318d
SHA1: bee5001b2715ecbf7b30ede16c6807bde704369c
SHA256: 615d54a54c27e96db253446305ee320ebbb67c8f3956637ef3b9905e1ffd9b01
SHA512: a6f56919a4ef3c46d116f6bc31774bad37dc200ed6b3c5de56d30f4a99b300b9e5b63600740985352118742cec59b44ce7f69fa7296be32b63ab2e38c7705af1
Homepage: https://cran.r-project.org/package=ARPALData
Description: CRAN Package 'ARPALData' (Retrieving and Analyzing Air Quality and Weather Data from ARPALombardia)
 Contains functions for retrieving, managing and analysing air quality and
 weather data from Regione Lombardia open database
 (<https://www.dati.lombardia.it/>).  Data are collected by ARPA Lombardia
 (Lombardia Environmental Protection Agency), Italy, through its ground
 monitoring network (<https://www.dati.lombardia.it/stories/s/auv9-c2sj>).
 See the webpage <https://www.arpalombardia.it/> for further information on
 ARPA Lombardia's activities and history.  Data quality (e.g. missing values,
 exported values, graphical mapping) has been checked involving members of
 the ARPA Lombardia's office for air quality control.  The package makes
 available observations since 1989 (for weather) and 1968 (for air quality)
 and are updated with daily frequency by the regional agency.  Full
 description of the package can be retrieved in the companion paper Maranzano
 \& Algieri (2024), "ARPALData: an R package for retrieving and analyzing air
 quality and weather data from ARPA Lombardia (Italy)", Environmental and
 Ecological Statistics, <doi:10.1007/s10651-024-00599-6>.

Package: r-cran-arplmec
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-numderiv, r-cran-mass, r-cran-mnormt, r-cran-expm, r-cran-relliptical, r-cran-truncatednormal, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-arplmec_2.4.1-1.ca2004.1_all.deb
Size: 238192
MD5sum: 67c86d188ab7997ee57f7fa7493ab15e
SHA1: 39a600a187c0cdb5bbb0e712d9119ab8dfd5e220
SHA256: 2bf3edd93a712b16215eca2a09ddd8d2cd0b951cc92e146f1a250ec9c270c7a6
SHA512: 4c7dd0bf1db331787c3afb85befd7af36f5d1961d1f16873b491539926ba51fa7636dfd6b6197524e1e137073b567309323ad9b75a2bb958d704da3d74c8a5f0
Homepage: https://cran.r-project.org/package=ARpLMEC
Description: CRAN Package 'ARpLMEC' (Censored Mixed-Effects Models with Different CorrelationStructures)
 Left, right or interval censored mixed-effects linear model with
 autoregressive errors of order p or DEC correlation structure using the
 type-EM algorithm. The error distribution can be Normal or t-Student. It
 provides the parameter estimates, the standard errors and prediction of
 future observations (available only for the normal case). Olivari et all
 (2021) <doi:10.1080/10543406.2020.1852246>.

Package: r-cran-arpobservation
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-shiny, r-cran-plyr, r-cran-reshape2, r-cran-dplyr, r-cran-ggplot2, r-cran-viridis, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arpobservation_1.2.2-1.ca2004.1_all.deb
Size: 365776
MD5sum: 06c5e1db769283ea3918bab08d79f85b
SHA1: f6b51b90382782487c014a3f8cad3cc4ad6fee1d
SHA256: de56d9f4d716189deec64d39fc5743bc4a267e8fa4c56fb74c717fa3320b468f
SHA512: b133fe847fdfad42c33bf4c429e73789dacba098af8873807640131db0a5a12831558747318c9c93ae6a48cc29cc4b6491fa189f0bd49a65f23ea3cf4bdbd2f4
Homepage: https://cran.r-project.org/package=ARPobservation
Description: CRAN Package 'ARPobservation' (Tools for Simulating Direct Behavioral Observation RecordingProcedures Based on Alternating Renewal Processes)
 Tools for simulating data generated by direct observation recording.
 Behavior streams are simulated based on an alternating renewal process,
 given specified distributions of event durations and interim times.
 Different procedures for recording data can then be applied to the simulated
 behavior streams. Functions are provided for the following recording
 methods: continuous duration recording, event counting, momentary time
 sampling, partial interval recording, whole interval recording, and
 augmented interval recording.

Package: r-cran-arpr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arpr_0.1.2-1.ca2004.1_all.deb
Size: 23516
MD5sum: 90ad2f2fc0651cd96e210ca07f1911ee
SHA1: 5ad1e83cdd16235a87dfa324b3c65194ba7c59d0
SHA256: 393c6de5bb553f540619237331de2a9c031581acf399248cc205332044e8879e
SHA512: e5f1b9dcd8a221d67d9714b08ee82d4a5db396badd1cd79e1a902b920abf67595a7a31e8eb068e1fd79aa8d49fbcfabc0b1ff88dd89800686943743e34b0cf9b
Homepage: https://cran.r-project.org/package=arpr
Description: CRAN Package 'arpr' (Advanced R Pipes)
 Provides convenience functions for programming with 'magrittr' pipes.
 Conditional pipes, a string prefixer and a function to pipe the given object
 into a specific argument given by character name are currently supported. It
 is named after the dadaist Hans Arp, a friend of Rene Magritte.

Package: r-cran-arpsdca
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-arpsdca_1.1.1-1.ca2004.1_all.deb
Size: 135284
MD5sum: 3c4cb37004e921f00133affa0756bf39
SHA1: 07c4a280384457bd7503757375f2de59990b5fd5
SHA256: b3a13bb9834877317a0856a127b98a174601987ddcf53cd151d4552c473c5cf6
SHA512: b3a9c3564dfd8d98588c359a958a16c8c4c549720867122db5cae831f648b2d5313e50f5a30ff391dc8b6ea7f86ffe1eec116bafddb5098882213580fbac795e
Homepage: https://cran.r-project.org/package=aRpsDCA
Description: CRAN Package 'aRpsDCA' (Arps Decline Curve Analysis in R)
 Functions for Arps decline-curve analysis on oil and gas data. Includes
 exponential, hyperbolic, harmonic, and hyperbolic-to-exponential models as
 well as the preceding with initial curtailment or a period of linear rate
 buildup. Functions included for computing rate, cumulative production,
 instantaneous decline, EUR, time to economic limit, and performing
 least-squares best fits.

Package: r-cran-arrayhelpers
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-svunit
Filename: pool/dists/focal/main/r-cran-arrayhelpers_1.1-0-1.ca2004.1_all.deb
Size: 98088
MD5sum: fa7cf9875009dfb5c31f5025b9bb7208
SHA1: 76fc208896d277f45cd3aedce3717929078a6865
SHA256: 23eb1eb6aac55652a42434033794c7f992d93bd12c895be844a621e208c00f36
SHA512: e89a69681e1435d451fb0177b0bf439146a1ce2c2b77531bb7c24b42fdf7fd8d8325057ff8fb799054fc8933a89d32724d5889f8b727c52f57c1fa310f866b03
Homepage: https://cran.r-project.org/package=arrayhelpers
Description: CRAN Package 'arrayhelpers' (Convenience Functions for Arrays)
 Some convenient functions to work with arrays.

Package: r-cran-arrg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ore
Suggests: r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-arrg_0.1.0-1.ca2004.1_all.deb
Size: 34656
MD5sum: 0d89a061b81a47ec856620da12baa84d
SHA1: 75dc2d05454afe8bde56edbc5b98456ce1024da3
SHA256: ad3296d27577655a12ddc0a3f2cb01288b4cba8d92f4ef145aec88ce04828b1d
SHA512: 6d0a7da1e5a882aacf7f9a8164f5e59d946a589b0cc56392994e62fb8747f3ea48fd683eb9d2edeb819d4826a2257a1895a5f48c9db2bfe4e8744f794c592b29
Homepage: https://cran.r-project.org/package=arrg
Description: CRAN Package 'arrg' (Flexible Argument Parsing for R Scripts)
 Argument parsing for R scripts, with support for long and short Unix-style
 options including option clustering, positional arguments including those of
 variable length, and multiple usage patterns which may take different
 subsets of options.

Package: r-cran-arrowheadr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3655
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bezier, r-cran-purrr
Suggests: r-cran-ggarrow, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arrowheadr_1.0.2-1.ca2004.1_all.deb
Size: 1627460
MD5sum: 7d490d63ad78ed218d910548a1bac254
SHA1: 9610edbac694eab1b872eab1534dc63bc36c23e9
SHA256: 30ff284817fcfe0d5bf14c7e4f127387f5db5c1fa8f6cd5d309329d474e64ad0
SHA512: 298dbae7973e55d8995ca3d6ecef0b0ae3e63c3c51bb75b70152cf4819057e9192ef1ab6d894c371a21f9af418092aece97068e11ade0abc0d43fde6f9f1b136
Homepage: https://cran.r-project.org/package=arrowheadr
Description: CRAN Package 'arrowheadr' (Make Custom Arrowheads)
 The 'ggarrow' package is a 'ggplot2' extension that plots a variety of
 different arrow segments with many options to customize.  The 'arrowheadr'
 package makes it easy to create custom arrowheads and fins within the
 parameters that 'ggarrow' functions expect. It has preset arrowheads and a
 collection of functions to create and transform data for customizing arrows.

Package: r-cran-arse
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-arse_1.0.0-1.ca2004.1_all.deb
Size: 80160
MD5sum: de7fe22bc55d2d8a51ed0062e787a3df
SHA1: 1f0d30dc61ba64dce7ef1a6f4db0692587d28aea
SHA256: 8e409c5acb8e28ad7a2a4439b5ee44f8f46108a09b15058627438cb4eadf9e13
SHA512: 1b07f0309788dd8f76c1139315cef8008ddeba020214af0e4aa81d383e59bbd65eae244d89e6172cdd51e1dfae51cb1b6bfab06aac0c10c1b2a190d452c05e4f
Homepage: https://cran.r-project.org/package=arse
Description: CRAN Package 'arse' (Area of Resilience to Stress Event)
 A method for quantifying resilience after a stress event. A set of functions
 calculate the area of resilience that is created by the departure of
 baseline 'y' (i.e., robustness) and the time taken 'x' to return to baseline
 (i.e., rapidity) after a stress event using the Cartesian coordinates of the
 data. This package has the capability to calculate areas of resilience,
 growth, and cases in which resilience is not achieved (e.g., diminished
 performance without return to baseline).

Package: r-cran-arsenal
Architecture: all
Version: 3.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2097
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Suggests: r-cran-broom, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-xtable, r-cran-pander, r-cran-survival, r-cran-coin, r-cran-proc, r-cran-mass, r-cran-rpart, r-cran-yaml, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-arsenal_3.6.3-1.ca2004.1_all.deb
Size: 843676
MD5sum: f7466b09d2e57d664d977025ea3da442
SHA1: f753a22c4b884b3b7efa8c4b6022f003ced15d92
SHA256: 42388ca76f3db73cc392be482f0b6b228c20b4ca5b299d7d1aa90b7b68e8b51a
SHA512: 3cf7d1247d9a29fa66f2b3d78058f6434cb93fb0fdc4652eeb5bb1db6e7275b5788559e15d41a6215cbcae8c898303d05dd8d9f10e838195d38e66efa2bd50ea
Homepage: https://cran.r-project.org/package=arsenal
Description: CRAN Package 'arsenal' (An Arsenal of 'R' Functions for Large-Scale StatisticalSummaries)
 An Arsenal of 'R' functions for large-scale statistical summaries, which are
 streamlined to work within the latest reporting tools in 'R' and 'RStudio'
 and which use formulas and versatile summary statistics for summary tables
 and models. The primary functions include tableby(), a Table-1-like summary
 of multiple variable types 'by' the levels of one or more categorical
 variables; paired(), a Table-1-like summary of multiple variable types
 paired across two time points; modelsum(), which performs simple model fits
 on one or more endpoints for many variables (univariate or adjusted for
 covariates); freqlist(), a powerful frequency table across many categorical
 variables; comparedf(), a function for comparing data.frames; and write2(),
 a function to output tables to a document.

Package: r-cran-art
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-art_1.0-1.ca2004.1_all.deb
Size: 25796
MD5sum: 1448c96b982bc0e35b56d1a36e1baac7
SHA1: a0cf8526d7a5468f901e12a9ba6a410ab9789267
SHA256: 4bf34a1b44625f290b32bcb5bac3d685ba58abbb4db24619c5e703344e63970c
SHA512: c43a26bd555dfa1b6a3770d650e610703362be43e2f2813d46f9be98b5464dd1ac642f3398ecefa51b933d462daa156e4424aba64326ebac8d5a62e7c4134f0e
Homepage: https://cran.r-project.org/package=ART
Description: CRAN Package 'ART' (Aligned Rank Transform for Nonparametric Factorial Analysis)
 An implementation of the Aligned Rank Transform technique for factorial
 analysis (see references below for details) including models with missing
 terms (unsaturated factorial models). The function first computes a separate
 aligned ranked response variable for each effect of the user-specified
 model, and then runs a classic ANOVA on each of the aligned ranked
 responses. For further details, see Higgins, J. J. and Tashtoush, S.
 (1994). An aligned rank transform test for interaction. Nonlinear World 1
 (2), pp. 201-211. Wobbrock, J.O., Findlater, L., Gergle, D. and Higgins,J.J.
 (2011). The Aligned Rank Transform for nonparametric factorial analyses
 using only ANOVA procedures. Proceedings of the ACM Conference on Human
 Factors in Computing Systems (CHI '11). New York: ACM Press, pp.  143-146.
 <doi:10.1145/1978942.1978963>.

Package: r-cran-artfima
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltsa, r-cran-gsl
Filename: pool/dists/focal/main/r-cran-artfima_1.5-1.ca2004.1_all.deb
Size: 138768
MD5sum: 45dffe208054fe494675d493171c3b79
SHA1: 05d1399b5d9995493799e581f62501072ced1e70
SHA256: 6e2f67fa8994c6f837d2fd49836521b3c0d53d12fd668b937d17f4a0cd67eb23
SHA512: 22c9384e90b66359eb2f6f65a3388284beb99f46610958003d8420e7f9c329e17ea90cd4088fd8987f44597b35d1e1d61d9236327bf249ad92f1b22993d5a42b
Homepage: https://cran.r-project.org/package=artfima
Description: CRAN Package 'artfima' (ARTFIMA Model Estimation)
 Fit and simulate ARTFIMA. Theoretical autocovariance function and spectral
 density function for stationary ARTFIMA.

Package: r-cran-arthistory
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-arthistory_0.1.0-1.ca2004.1_all.deb
Size: 259880
MD5sum: 7fa58cc962976425b499796b738246f8
SHA1: 3ba4c1287bdf3254974b1ac0575b0a9ddd9aeaa1
SHA256: dc76df7e0805b7564719e634a3a1d709bb475e12bf29a20ad26b007da6971c14
SHA512: d8db986cef1cefaf37b59841e9d078db3ff46d3b71f32aa792b80d395efdd580c914c35a012c07a77aed1bd6731e4ade6ec43ee5792e45a08a20ae894aa81dbe
Homepage: https://cran.r-project.org/package=arthistory
Description: CRAN Package 'arthistory' (Art History Textbook Data)
 Data from Gardner and Janson art history textbooks about both the artists
 featured in these books as well as their works.  See Helen Gardner ("Art
 through the ages; an introduction to its history and significance," 1926,
 <https://find.library.duke.edu/catalog/DUKE000104481>.  Helen Gardner,
 revised by Horst de la Croix and Richard G. Tansey ("Gardner’s Art through
 the ages," 1980, ISBN: 0155037587).  Fred S. Kleiner ("Gardner’s art through
 the ages: a global history," 2020, ISBN: 9781337630702).  Horst de la Croix
 and Richard G. Tansey ("Gardner's art through the ages," 1986, ISBN:
 0155037633).  Helen Gardner ("Art through the ages; an introduction to its
 history and significance," 1936,
 <https://find.library.duke.edu/catalog/DUKE001199463>).  Helen Gardner ("Art
 through the ages," 1948,
 <https://find.library.duke.edu/catalog/DUKE001199466>).  Helen Gardner,
 revised under the editorship of Sumner M. Crosby ("Art through the ages,"
 1959, <https://find.library.duke.edu/catalog/DUKE001199469>).  Helen
 Gardner, revised by Horst de la Croix and Richard G. Tansey ("Gardner’s Art
 through the ages," 1975, ISBN: 0155037560).  Fred S. Kleiner ("Gardner’s Art
 through the ages: a global history," 2013, ISBN: 9780495915423.  Fred S.
 Kleiner, Christin J. Mamiya, Richard G. Tansey ("Gardner’s art through the
 ages," 2001, ISBN: 0155083155).  Fred S. Kleiner ("Gardner’s Art through the
 ages: a global history," 2016, ISBN: 9781285837840).  Fred S. Kleiner,
 Christin J. Mamiya ("Gardner’s art through the ages," 2005, ISBN:
 0534640958).  Helen Gardner, revised by Horst de la Croix and Richard G.
 Tansey ("Gardner’s Art through the ages," 1970, ISBN: 0155037528).  Helen
 Gardner, Richard G. Tansey, Fred S. Kleiner ("Gardner’s Art through the
 ages," 1996, ISBN: 0155011413).  Helen Gardner, Horst de la Croix, Richard
 G. Tansey, Diane Kirkpatrick ("Gardner’s Art through the ages," 1991, ISBN:
 0155037692).  Helen Gardner, Fred S. Kleiner ("Gardner’s Art through the
 ages: a global history," 2009, ISBN: 9780495093077).  Davies, Penelope J.E.,
 Walter B. Denny, Frima Fox Hofrichter, Joseph F. Jacobs, Ann S. Roberts,
 David L. Simon ("Janson’s history of art: the western tradition," 2007,
 ISBN: 0131934554).  Davies, Penelope J.E., Walter B. Denny, Frima Fox
 Hofrichter, Joseph F. Jacobs, Ann S. Roberts, David L. Simon ("Janson’s
 history of art: the western tradition," 2011, ISBN: 9780205685172).  H. W.
 Janson, Anthony F. Janson ("History of Art," 2001, ISBN: 0810934469).  H. W.
 Janson, revised and expanded by Anthony F. Janson ("History of art," 1986,
 ISBN: 013389388).  H. W. Janson, Dora Jane Janson ("History of art: a survey
 of the major visual arts from the dawn of history to present day," 1977,
 ISBN: 0810910527).  H. W. Janson, Dora Jane Janson ("History of art: a
 survey of the major visual arts from the dawn of history to present day,"
 1969, <https://find.library.duke.edu/catalog/DUKE000005734>).  H. W. Janson,
 Dora Jane Janson ("History of art: a survey of the major visual arts from
 the dawn of history to present day," 1963,
 <https://find.library.duke.edu/catalog/DUKE001521852>).  H. W. Janson,
 revised and expanded by Anthony F. Janson ("History of art," 1991, ISBN:
 0810934019).  H. W. Janson, revised and expanded by Anthony F. Janson
 ("History of art," 1995, ISBN: 0810934213).

Package: r-cran-artma
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-lintr, r-cran-metafor, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyverse, r-cran-usethis, r-cran-withr, r-cran-yaml
Suggests: r-cran-box, r-cran-box.linters, r-cran-covr, r-cran-devtools, r-cran-fs, r-cran-here, r-cran-knitr, r-cran-languageserver, r-cran-mathjaxr, r-cran-optparse, r-cran-pkgbuild, r-cran-remotes, r-cran-rex, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-artma_0.2.1-1.ca2004.1_all.deb
Size: 124256
MD5sum: a5b48ae7d378ca4f46c43be229248f48
SHA1: 1c5da5d7b705907c4d09f3560eb73d1204e97531
SHA256: ecd75932e5544de8f3c85f46bbb75c2f5e028f6936315be7ebbd54dee20256a3
SHA512: 3ca48831023228acbbf22407eed02c99847f7c91018068330038bbb68af79c231f209b27ef462ffa4c1b5699a36f810c5f9bb747809f1644ab92ec366f2655ad
Homepage: https://cran.r-project.org/package=artma
Description: CRAN Package 'artma' (Automatic Replication Tools for Meta-Analysis)
 Provides a unified and straightforward interface for performing a variety of
 meta-analysis methods directly from user data. Users can input a data frame,
 specify key parameters, and effortlessly execute and compare multiple common
 meta-analytic models. Designed for immediate usability, the package
 facilitates transparent, reproducible research without manual implementation
 of each analytical method. Ideal for researchers aiming for efficiency and
 reproducibility, it streamlines workflows from data preparation to results
 interpretation.

Package: r-cran-artofr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bannercommenter, r-cran-clipr, r-cran-rstudioapi, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-miniui, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-artofr_0.4.1-1.ca2004.1_all.deb
Size: 48064
MD5sum: c99e772c9a7169d194c937f5b725fb34
SHA1: 427680a81d2bc4557288ded2b348c2942e8d24b5
SHA256: 5534888e3f89de31c9c9a6185cae1faa7c1e1b2e3bc5c2302f12c51283d7924f
SHA512: 55851dfeab75b2d9a95ebe81dd45cf31f05ce28621e4423e2daf307045fdb11e7821028ae92af43e769d3865be8fe8db278c6159c7f7bad305327434eab97925
Homepage: https://cran.r-project.org/package=ARTofR
Description: CRAN Package 'ARTofR' (To Insert Title, Divider, and Block of Comments)
 For instructions, check <https://github.com/Hzhang-ouce/ARTofR>. This is a
 wrapper of 'bannerCommenter', for inserting neat comments, headers and
 dividers.

Package: r-cran-artool
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-car, r-cran-plyr, r-cran-magrittr, r-cran-dplyr, r-cran-emmeans
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-pander, r-cran-lmertest, r-cran-cluster, r-cran-phia, r-cran-survival, r-cran-psych, r-cran-stringi, r-cran-desctools, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-artool_0.11.2-1.ca2004.1_all.deb
Size: 158596
MD5sum: 6f9c21ff9340f3dfc0f2e68230b50fca
SHA1: 08d51dd3213ffa5662c75506e02dd569033b9998
SHA256: 7bd59464f3d42b3af3571d12883a7d37ea1e05d0680fc6686ad79d2dc6624ba6
SHA512: bd5b84809e637a167e08ec531831c7938f968dbf6d80658989699db2cc9015fe81a1fe9ebdfc2ffb0c9b1d256646ef5837e72279c1ff31c551bb5d2fd8e154d5
Homepage: https://cran.r-project.org/package=ARTool
Description: CRAN Package 'ARTool' (Aligned Rank Transform)
 The aligned rank transform for nonparametric factorial ANOVAs as described
 by Wobbrock, Findlater, Gergle, and Higgins (2011)
 <doi:10.1145/1978942.1978963>.  Also supports aligned rank transform
 contrasts as described by Elkin, Kay, Higgins, and Wobbrock (2021)
 <doi:10.1145/3472749.3474784>.

Package: r-cran-artpack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-knitr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-ggplot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-artpack_0.1.0-1.ca2004.1_all.deb
Size: 642604
MD5sum: 4e5c70749acb7a5b536c5538453429b7
SHA1: 2d91fe5816554cc3af8fd7a423cf4417e3df1fe7
SHA256: c13b2c351074e2e01899b321cda090dd14e0f10905a7b9146b1c2f192253118c
SHA512: c16ab53c9419d9258997fe40f3711f8e7c3dfb65e5710c4baa06cbeea4e16832883ae7fa5cf4be624ec1ac5142103b14c5b0c4853cff46b90a7fe5e8dafa2fea
Homepage: https://cran.r-project.org/package=artpack
Description: CRAN Package 'artpack' (Creates Generative Art Data)
 Create data that displays generative art when mapped into a 'ggplot2' plot.
 Functionality includes specialized data frame creation for geometric shapes,
 tools that define artistic color palettes, tools for geometrically
 transforming data, and other miscellaneous tools that are helpful when using
 'ggplot2' for generative art.

Package: r-cran-arttransfer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbm, r-cran-glmnet, r-cran-nnet, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-arttransfer_1.0.0-1.ca2004.1_all.deb
Size: 77556
MD5sum: 24f77cab5d93ffa32a6075dc15fde273
SHA1: e10e4b8a39547da54c83e4fb11410451c6e7971e
SHA256: 9862dae392605babd5902f2cb02bdb2719465758c3c1023724ae107a4eb486e1
SHA512: 1e21100ef78a8cd0d68fe216b7d97f0763c6cd3891a32c12b377d97949fa0ed3363be9af5d71301aabdb0b024f2ab5b43c9e4f923c59235535a522772c057e56
Homepage: https://cran.r-project.org/package=ARTtransfer
Description: CRAN Package 'ARTtransfer' (Adaptive and Robust Pipeline for Transfer Learning)
 Adaptive and Robust Transfer Learning (ART) is a flexible framework for
 transfer learning that integrates information from auxiliary data sources to
 improve model performance on primary tasks. It is designed to be robust
 against negative transfer by including the non-transfer model in the
 candidate pool, ensuring stable performance even when auxiliary datasets are
 less informative. See the paper, Wang, Wu, and Ye (2023)
 <doi:10.1002/sta4.582>.

Package: r-cran-arulesnbminer
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arules, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-arulesnbminer_0.1-8-1.ca2004.1_all.deb
Size: 516260
MD5sum: 3a1b604ef248597218b730c60a578fb0
SHA1: 9ea67a7672321573d0bb3da1f8b17c33ea6c889e
SHA256: 4bd2e52ed4ab69266da8c18a62c5b839347db25e623fa63037a6cda13906b93a
SHA512: 632ec371919233555ff2c2ef4af433148b91fe30925170a2c03caf75f3dc1fbd15c7ac25aa14eb093c8a3a01e91aaa336a0ee11d26ed3d26cc9fa4fe00b06f2f
Homepage: https://cran.r-project.org/package=arulesNBMiner
Description: CRAN Package 'arulesNBMiner' (Mining NB-Frequent Itemsets and NB-Precise Rules)
 NBMiner is an implementation of the model-based mining algorithm for mining
 NB-frequent itemsets and NB-precise rules. Michael Hahsler (2006)
 <doi:10.1007/s10618-005-0026-2>.

Package: r-cran-arulesviz
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1971
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arules, r-cran-seriation, r-cran-vcd, r-cran-igraph, r-cran-scatterplot3d, r-cran-ggplot2, r-cran-ggraph, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-dt, r-cran-plotly, r-cran-visnetwork
Suggests: r-bioc-graph, r-bioc-rgraphviz, r-cran-tidygraph, r-cran-shiny, r-cran-shinythemes, r-cran-htmlwidgets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arulesviz_1.5.3-1.ca2004.1_all.deb
Size: 1861516
MD5sum: e61f30a2027056831f7e91caf119ebd9
SHA1: a37cdd4e2efac3b5ca208b96591ed4f012cf2fe3
SHA256: 2437b25d80058419733fa083172ccea099dd3ffdf0a61b6915b65799f4c68571
SHA512: fcdc3b7debaf7fa91e52dc9b6d86ef1ba2f6f1001a6b2da781035d9b07c14155d8e456ae4791f35962f2bd831963109b6ae14778dac72de482487db716f4426f
Homepage: https://cran.r-project.org/package=arulesViz
Description: CRAN Package 'arulesViz' (Visualizing Association Rules and Frequent Itemsets)
 Extends package 'arules' with various visualization techniques for
 association rules and itemsets. The package also includes several
 interactive visualizations for rule exploration. Michael Hahsler (2017)
 <doi:10.32614/RJ-2017-047>.

Package: r-cran-arutools
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1091
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-here, r-cran-hms, r-cran-lifecycle, r-cran-lubridate, r-cran-lutz, r-cran-parzer, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-seewave, r-cran-sf, r-cran-spsurvey, r-cran-stringr, r-cran-suncalc, r-cran-tidyr, r-cran-units, r-cran-withr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-patchwork, r-cran-readxl, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-soundecology, r-cran-testthat, r-cran-tuner, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-arutools_0.7.2-1.ca2004.1_all.deb
Size: 543132
MD5sum: a39eb773b9544f18f6a78ce15478ecfb
SHA1: 141f10c807219a4a4eb698b0ad9a4f1996f9b64c
SHA256: 5d69bb7cae978cf1c00bcb9c36167f4fcf8e4f125703af9f4725b489f843799b
SHA512: 62e4efa72e4a1359ba476f1f0e545fa5572cf98a1b58f967533bf85eb917afb94cd3114034ed4a136b32fd14c1fd463114715daf4c7e9ce21f75daf868540150
Homepage: https://cran.r-project.org/package=ARUtools
Description: CRAN Package 'ARUtools' (Management and Processing of Autonomous Recording Unit (ARU)Data)
 Parse Autonomous Recording Unit (ARU) data and for sub-sampling recordings.
 Extract Metadata from your recordings, select a subset of recordings for
 interpretation, and prepare files for processing on the 'WildTrax'
 <https://wildtrax.ca/> platform. Read and process metadata from recordings
 collected using the SongMeter and BAR-LT types of ARUs.

Package: r-cran-arxiv
Architecture: all
Version: 0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-xml
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-arxiv_0.10-1.ca2004.1_all.deb
Size: 78048
MD5sum: e4596eed5122f9681b3b1d723720ed56
SHA1: 6021cc05b11bf7d7693e899a1aead53d11d2d902
SHA256: b1c9cf4cc4f064b2aa653f674e1632533adf7c7e4df30c1170340c2707cc2d71
SHA512: 49fe982ca9cfdc93a4651ce3c478077aff4c2765942d5d3517c9c3c10e168ef5ceb900c5b612770261b2c88346fcb21ee7f5683a7f190f1db9ce50b751a39318
Homepage: https://cran.r-project.org/package=aRxiv
Description: CRAN Package 'aRxiv' (Interface to the arXiv API)
 An interface to the API for 'arXiv', a repository of electronic preprints
 for computer science, mathematics, physics, quantitative biology,
 quantitative finance, and statistics.

Package: r-cran-asaur
Architecture: all
Version: 0.50-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asaur_0.50-1.ca2004.1_all.deb
Size: 105280
MD5sum: 4fb2944fec14412693451d19da420d83
SHA1: 9db84aab73f0d0e6c751286f6225d9f4ed39390b
SHA256: be0d183edaf419c997c1e2ef0d2db8b2a49ceef8145919982ef6de874d26b985
SHA512: 47afad8624c7ebaaf9926753020ba8a0a5cfa3ab0cd393d07b7fba71c4fd4bad8ebccd6ec83c330673d684d70cceebd0f8e8e4d347f68910281b6e1ea48018dc
Homepage: https://cran.r-project.org/package=asaur
Description: CRAN Package 'asaur' (Data Sets for "Applied Survival Analysis Using R"")
 Data sets are referred to in the text "Applied Survival Analysis Using R" by
 Dirk F. Moore, Springer, 2016, ISBN: 978-3-319-31243-9,
 <DOI:10.1007/978-3-319-31245-3>.

Package: r-cran-asbio
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3781
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scatterplot3d, r-cran-pixmap, r-cran-plotrix, r-cran-mvtnorm, r-cran-desolve, r-cran-lattice, r-cran-multcompview, r-cran-gwidgets2, r-cran-gwidgets2tcltk
Suggests: r-cran-boot, r-cran-tkrplot, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-asbio_1.11-1.ca2004.1_all.deb
Size: 3443980
MD5sum: 62bf17ec3ca7ab501454a7c03dad929a
SHA1: a0d3d6cc4287e91b8c9db5a0e082454d81bd22af
SHA256: 9ea4212bceab3bfd00634970da6d09e78c55b13ed0a52d078d41cc3ac1179659
SHA512: 9991ef0345032415a7163aeae0dadb89e33e83d76a358b9c8c4b0445cc23fb0ff8ba07f75f137945e40834870722368fad4c7060de84836afa6ba032e462c5f7
Homepage: https://cran.r-project.org/package=asbio
Description: CRAN Package 'asbio' (A Collection of Statistical Tools for Biologists)
 Contains functions from: Aho, K. (2014) Foundational and Applied Statistics
 for Biologists using R.  CRC/Taylor and Francis, Boca Raton, FL, ISBN:
 978-1-4398-7338-0.

Package: r-cran-ascenttraining
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1963
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ascenttraining_1.0.0-1.ca2004.1_all.deb
Size: 1879552
MD5sum: da3cc50251259e340eb683ce2eb31a9d
SHA1: 87aea100ea23d16517a6f9a5389ee81cc2c73daa
SHA256: cf9f6deb6f1a5a1783b117df96f0d99a405beec548a5e8430896da68d4ee83fc
SHA512: 65f7867c01a4d73bb6b58731672a69423d53d3ab1b1e29494eb93711323e6230388193668bd749467a8051113411a9737cdfa999203505212358984ff50d5308
Homepage: https://cran.r-project.org/package=ascentTraining
Description: CRAN Package 'ascentTraining' (Ascent Training Datasets)
 Datasets to be used primarily in conjunction with Ascent training materials
 but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN:
 978-0-672-33848-9).  Version 1.0-7 is largely for use with the book;
 however, version 1.1 has a much greater focus on use with training
 materials, whilst retaining compatibility with the book.

Package: r-cran-ascii
Architecture: all
Version: 2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 817
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-codetools, r-cran-survival
Suggests: r-cran-hmisc, r-cran-xtable, r-cran-r2html, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ascii_2.6-1.ca2004.1_all.deb
Size: 706032
MD5sum: 13ad7f545c98211ffcda525aac3ec3da
SHA1: 23e07e86eff962aaa9cd607fa6a3b00d1308a16a
SHA256: 0efabe0a2134b48ddb66be28056b74bfa34d6dd7ad9ba70ae808fa9b3981a3ac
SHA512: e86de75899805e28537df24b539f97f82531a87118f0f59baf14aa9509e38701a8d9784a65440ad22ea9a9992eae7a1b3d53bc16f973ebbab7059b360947956a
Homepage: https://cran.r-project.org/package=ascii
Description: CRAN Package 'ascii' (Export R Objects to Several Markup Languages)
 Coerce R object to 'asciidoc', 'txt2tags', 'restructuredText', 'org',
 'textile' or 'pandoc' syntax.  Package comes with a set of drivers for
 'Sweave'.

Package: r-cran-asciichartr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asciichartr_0.1.0-1.ca2004.1_all.deb
Size: 15088
MD5sum: 30ce1dc1de095ddfd3fec22e08ab7af4
SHA1: 9e4ae71e00e5e3b4f3ff14cc65a40d6ad07b7ba5
SHA256: fa9f28e88a4e298ea0907b5c6334549f78802ef772786010f0442afc96e7af19
SHA512: 62b5576afbd40daa1a1e83b8e37e8764b64aaa1d5cc59182a22a3b4b8019ecad26be9658d8391aba859444ba2a0d6d2fdbd2bc9b2941f61074e9719dc99d828c
Homepage: https://cran.r-project.org/package=asciichartr
Description: CRAN Package 'asciichartr' (Lightweight ASCII Line Graphs)
 Create ASCII line graphs of a time series directly on your terminal in an
 easy way. There are some configurations you can add to make the plot the way
 you like. This project was inspired by the original 'asciichart' package by
 Igor Kroitor.

Package: r-cran-asciiruler
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-asciiruler_0.2-1.ca2004.1_all.deb
Size: 39356
MD5sum: 723dbcdaf45f28a9155f6bfa2090231c
SHA1: 6c83aa64f9ea6c0ac1be54c835af01c3ed61841f
SHA256: e248ca070dfda2f1e256f6885af3156496cd0d488bfc4367b7a42b1045759b5a
SHA512: 8256726668e52c096091ec66174d733e9989b964a893c459fbd7c759a9ccb8be2c21635e5fe1bcdc751a76ebb11c730dc769da38c684f2ee983e664067372236
Homepage: https://cran.r-project.org/package=asciiruler
Description: CRAN Package 'asciiruler' (Render an ASCII Ruler)
 An ASCII ruler is for measuring text and is especially useful for sequence
 analysis. Included in this package are methods to create ASCII rulers and
 associated GenBank sequence blocks, multi-column text displays that make it
 easy for viewers to locate nucleotides by position.

Package: r-cran-asciisetupreader
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4557
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-haven, r-cran-readr, r-cran-vroom, r-cran-stringr, r-cran-zoo, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-asciisetupreader_2.5.2-1.ca2004.1_all.deb
Size: 3408048
MD5sum: b4b56c6d89621afd0405f7898bcfab1a
SHA1: 43717347d04b601bf9a1ed755ca42c673ed7ff51
SHA256: a4c98fd7aebc25f981054e11cc50f99049ea5d6f280e0a9eb6dfdc09ec5fd788
SHA512: 1e72e9ebef0b7b683fe73033683dc256568a868a558918e76758f1c2f5f60dfe61f82ef96237b6de141d8a659af36f3f8db2ddd3345d4410d954364eb1c31792
Homepage: https://cran.r-project.org/package=asciiSetupReader
Description: CRAN Package 'asciiSetupReader' (Reads Fixed-Width ASCII Data Files (.txt or .dat) that HaveAccompanying Setup Files (.sps or .sas))
 Lets you open a fixed-width ASCII file (.txt or .dat) that has an
 accompanying setup file (.sps or .sas). These file combinations are
 sometimes referred to as .txt+.sps, .txt+.sas, .dat+.sps, or .dat+.sas. This
 will only run in a txt-sps or txt-sas pair in which the setup file contains
 instructions to open that text file. It will NOT open other text files,
 .sav, .sas, or .por data files. Fixed-width ASCII files with setup files are
 common in older (pre-2000) government data.

Package: r-cran-ascotracer
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-lutz, r-cran-circular, r-cran-purrr, r-cran-sf, r-cran-terra
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ascotracer_0.0.1-1.ca2004.1_all.deb
Size: 567664
MD5sum: a946f2b287ceb45229dc919af865e55b
SHA1: e0a77e0c178783a49657a2e0c627563b38b9f6ed
SHA256: a5576c1a71827fee9f8f906f6ec09ce0480c97d30e6c6fa8c7a8555e965f8150
SHA512: 672a92058d199e43b5d35a502da97db4836c470adcc9fea864bd778b90bfc79a275ba5f14acd907cde3583df93194819b745fe1ee6c150ae8cd73d9779850c77
Homepage: https://cran.r-project.org/package=ascotraceR
Description: CRAN Package 'ascotraceR' (Simulate the Spread of Ascochyta Blight in Chickpea)
 A spatiotemporal model that simulates the spread of Ascochyta blight in
 chickpea fields based on location-specific weather conditions.  This model
 is adapted from a model developed by Diggle et al. (2002)
 <doi:10.1094/PHYTO.2002.92.10.1110> for simulating the spread of anthracnose
 in a lupin field.

Package: r-cran-asd
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-asd_2.2-1.ca2004.1_all.deb
Size: 119648
MD5sum: 4df8792d692c178a0eef0f3facd74226
SHA1: 8c18c1c07e243bc3d83dd2445079218c7e2f5487
SHA256: 44f3b3f7ded6c27b1fab880ade114db40bb89902a945a0f82daea89806ec7178
SHA512: 8476001b46d321598e694b606b35a90eefb61c5d8bf4e7d67bbf4021cbf7d6439e036cb548c792f1920353fed1084ffce18f1f7f9009fc0eef4b8f2cdc7e9668
Homepage: https://cran.r-project.org/package=asd
Description: CRAN Package 'asd' (Simulations for Adaptive Seamless Designs)
 Package runs simulations for adaptive seamless designs with and without
 early outcomes for treatment selection and subpopulation type designs.

Package: r-cran-asdreader
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asdreader_0.1-3-1.ca2004.1_all.deb
Size: 62368
MD5sum: 4618ab67fae309d8703f00c6e6fd11e8
SHA1: 39b358a3f803eb8739a7941e236c706136ed0356
SHA256: 4b53ac333974bbafe795726b846d6a68089d3c8fad003d5b29720644b0498f0f
SHA512: 3f3b48f5f5948d7ead4d4e55136678a8e182274726249b44f3d26ca752e3e1344b62756b04726ebdcb6d4860016e7616bee6affc4c143e5966aeab7b3bb105ac
Homepage: https://cran.r-project.org/package=asdreader
Description: CRAN Package 'asdreader' (Reading ASD Binary Files in R)
 A simple driver that reads binary data created by the ASD Inc.  portable
 spectrometer instruments, such as the FieldSpec (for more information, see
 <http://www.asdi.com/products/fieldspec-spectroradiometers>). Spectral data
 can be extracted from the ASD files as raw (DN), white reference, radiance,
 or reflectance. Additionally, the metadata information contained in the ASD
 file header can also be accessed.

Package: r-cran-asgs.foyer
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2664
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp
Suggests: r-cran-testthat, r-cran-spdep, r-cran-codetools
Filename: pool/dists/focal/main/r-cran-asgs.foyer_0.3.3-1.ca2004.1_all.deb
Size: 2567504
MD5sum: ef0540ad1d9a9a03f2cb325e7dd09245
SHA1: 050f07dc69dd6f62336fbd5d5e8c6003be262c3c
SHA256: 328332a1008232df8b948c1e51663a34acbdeea94fa5871861c6765eda5c1d74
SHA512: 4331a76605e15e5d3bb609f54ab0732f288edbb495a85f0ba00a7c3c5ce89140cd749ab438af1a15eb7eb167ba57c16a16d54ae9e51c99ec7d078a8dbcb4450a
Homepage: https://cran.r-project.org/package=ASGS.foyer
Description: CRAN Package 'ASGS.foyer' (Interface to the Australian Statistical Geography Standard)
 The Australian Statistical Geography Standard ('ASGS') is a set of
 shapefiles by the Australian Bureau of Statistics. This package provides an
 interface to those shapefiles, as well as methods for converting coordinates
 to shapefiles.

Package: r-cran-ashapesampler
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2497
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-alphahull, r-cran-alphashape3d, r-cran-truncnorm, r-cran-rvcg, r-cran-tda, r-cran-doparallel, r-cran-foreach, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rgl, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ashapesampler_1.0.0-1.ca2004.1_all.deb
Size: 764748
MD5sum: a3ccc70d3b0cc5309e50eb85301be507
SHA1: 92700c38301ecdf236c9650a6bdc58b1fddcca23
SHA256: 724c0dcc0eb8fa35b010c0b51f18ea4e288ba9b317827cb636c4ba5b38380b1f
SHA512: 0a47c8d15f72b56d3611b201bb913dea8e12dd9a604532981c17c05eb7188837f6c682fa3aabed73d7ed05c44d053f7054fc4ade9cc7873ec807644292e9401d
Homepage: https://cran.r-project.org/package=ashapesampler
Description: CRAN Package 'ashapesampler' (Generating Alpha Shapes)
 Understanding morphological variation is an important task in many
 applications. Recent studies in computational biology have focused on
 developing computational tools for the task of sub-image selection which
 aims at identifying structural features that best describe the variation
 between classes of shapes. A major part in assessing the utility of these
 approaches is to demonstrate their performance on both simulated and real
 datasets. However, when creating a model for shape statistics, real data can
 be difficult to access and the sample sizes for these data are often small
 due to them being expensive to collect. Meanwhile, the landscape of current
 shape simulation methods has been mostly limited to approaches that use
 black-box inference---making it difficult to systematically assess the power
 and calibration of sub-image models. In this R package, we introduce the
 alpha-shape sampler: a probabilistic framework for simulating realistic 2D
 and 3D shapes based on probability distributions which can be learned from
 real data or explicitly stated by the user. The 'ashapesampler' package
 supports two mechanisms for sampling shapes in two and three dimensions. The
 first, empirically sampling based on an existing data set, was highlighted
 in the original main text of the paper. The second, probabilistic sampling
 from a known distribution, is the computational implementation of the theory
 derived in that paper. Work based on Winn-Nunez et al. (2024)
 <doi:10.1101/2024.01.09.574919>.

Package: r-cran-asht
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-exact2x2, r-cran-exactci, r-cran-bpcp, r-cran-coin, r-cran-perm, r-cran-ssanv
Suggests: r-cran-bootstrap
Filename: pool/dists/focal/main/r-cran-asht_1.0.1-1.ca2004.1_all.deb
Size: 258680
MD5sum: b046f81c76c336e6033190fd97609adb
SHA1: 9988811ab8f97e701b5d52ed18584d9e13439a23
SHA256: e52b8517a309054adf0bac029a077d2befb2fb3b75efa9f139b4038dc7a13f37
SHA512: 2bab07f90f62b4c170fdf3f66590fc5c11b162d28c00fb2d8458062b6f48a246d3c048fd76b376f13a572465913888f395ab5aa0b6fc4cfd6e35cd0efa1d066b
Homepage: https://cran.r-project.org/package=asht
Description: CRAN Package 'asht' (Applied Statistical Hypothesis Tests)
 Gives some hypothesis test functions (sign test, median and other quantile
 tests, Wilcoxon signed rank test, coefficient of variation test, test of
 normal variance, test on weighted sums of Poisson [see Fay and Kim
 <doi:10.1002/bimj.201600111>], sample size for t-tests with different
 variances and non-equal n per arm, Behrens-Fisher test, nonparametric ABC
 intervals, Wilcoxon-Mann-Whitney test [with effect estimates and confidence
 intervals, see Fay and Malinovsky <doi:10.1002/sim.7890>], two-sample
 melding tests [see Fay, Proschan, and Brittain <doi:10.1111/biom.12231>],
 one-way ANOVA allowing var.equal=FALSE [see Brown and Forsythe, 1974,
 Biometrics]), prevalence confidence intervals that adjust for sensitivity
 and specificity [see Lang and Reiczigel, 2014
 <doi:10.1016/j.prevetmed.2013.09.015>] or Bayer, Fay, and Graubard, 2023
 <doi:10.48550/arXiv.2205.13494>). The focus is on hypothesis tests that have
 compatible confidence intervals, but some functions only have confidence
 intervals (e.g., prevSeSp).

Package: r-cran-asioheaders
Architecture: all
Version: 1.30.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5320
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asioheaders_1.30.2-1-1.ca2004.1_all.deb
Size: 412920
MD5sum: 302a13515a277658a07a492e1d698678
SHA1: fa9de8d85bbfe0a8da3511abcebea733c6c10435
SHA256: e87cf91fbe64d066fd3d1aa9cb99a5585dfad7e92a60baa948861274ec8ca390
SHA512: 7998313950f5fbb404b5654e642a6b2aa8edcc35317e0ab71d4fc29d27b5052c7ed04271b9749ab911fbed089bc90f0e4af9ce15cb2c961209d13f9a175de80b
Homepage: https://cran.r-project.org/package=AsioHeaders
Description: CRAN Package 'AsioHeaders' ('Asio' C++ Header Files)
 'Asio' is a cross-platform C++ library for network and low-level I/O
 programming that provides developers with a consistent asynchronous model
 using a modern C++ approach. It is also included in Boost but requires
 linking when used with Boost. Standalone it can be used header-only
 (provided a recent compiler). 'Asio' is written and maintained by
 Christopher M. Kohlhoff, and released under the 'Boost Software License',
 Version 1.0.

Package: r-cran-asip
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-asip_0.4.9-1.ca2004.1_all.deb
Size: 202408
MD5sum: 7cb9fa347bdae8d83806b40d4341ddb8
SHA1: 0b39954f6f86a8a67292cf98dded57dd5c1047b8
SHA256: 9f142a9d6a96aaef982c462dcb826cd7404bc606943af2acf0401eb1c02af059
SHA512: abeb91c6093e98b903910d84bd8283427571f5c0a83c51a69f46b8ebb45f19b0cd4457c043374dc706621740276ed2721ce12156803418947ea66c2cbb1d2c4a
Homepage: https://cran.r-project.org/package=ASIP
Description: CRAN Package 'ASIP' (Automated Satellite Image Processing)
 Efficiently perform complex satellite image processes automatically with
 minimum inputs.  Functions are providing more control on the user to specify
 how the function needs to be executed by offering more customization options
 and facilitate more functionalities.  The functions are designed to identify
 the type of input satellite images and perform accordingly.  Also, some
 functions are giving options to perform multiple satellite data (even from
 different types) in single run.  Package currently supports satellite images
 from most widely used Landsat 4,5,7 and 8 and Sentinel-2 MSI data.  The
 primary applications of this package are given below.  1. Conversion of
 optical bands to top of atmosphere reflectance.  2. Conversion of thermal
 bands to corresponding temperature images.  3. Derive application oriented
 products directly from source satellite image bands.  4. Compute user
 defined equation and produce corresponding image product.  5. Other basic
 tools for satellite image processing.  REFERENCES.  i. Chander and Markham
 (2003) <doi:10.1109/TGRS.2003.818464>.  ii. Roy et.al, (2014)
 <doi:10.1016/j.rse.2014.02.001>.  iii. Abrams (2000)
 <doi:10.1080/014311600210326>.

Package: r-cran-askgpt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3536
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-callr, r-cran-dplyr, r-cran-glue, r-cran-rlang, r-cran-httr2, r-cran-rappdirs, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-knitr, r-cran-miniui, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-shinycssloaders, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-askgpt_0.1.3-1.ca2004.1_all.deb
Size: 2416872
MD5sum: 10c4e3ecb88b3aff3574ef4c76f5e7af
SHA1: 905f0f0b76196144d3e6ffb9d43b34401cda2044
SHA256: 1241be72280da341b10595cebea70290343cdb76cad84a700d7dcc781ba641c3
SHA512: 1fbc648d3d146e65b021a2d03263c7989c5fd74254423251d9b5ba5fbc00bf4e798edfca0533014a622a420db58c32ba03a727af5c0dc60b6166d67b7f64e5b9
Homepage: https://cran.r-project.org/package=askgpt
Description: CRAN Package 'askgpt' (Asking GPT About R Stuff)
 A chat package connecting to API endpoints by 'OpenAI'
 (<https://platform.openai.com/>) to answer questions (about R).

Package: r-cran-aslib
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-batchtools, r-cran-data.table, r-cran-bbmisc, r-cran-checkmate, r-cran-corrplot, r-cran-ggplot2, r-cran-llama, r-cran-mlr, r-cran-parallelmap, r-cran-paramhelpers, r-cran-plyr, r-cran-reshape2, r-cran-rweka, r-cran-stringr, r-cran-yaml
Suggests: r-cran-testthat, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-aslib_0.1.2-1.ca2004.1_all.deb
Size: 167176
MD5sum: a56753e27f6a908823da8b3515db2eed
SHA1: 35533ed5f4f11e15b84d3b2089cabd6b1218c7e7
SHA256: 1758599931a93ace125b39e9f2378a24a48ceb6a10439f94f31feb501b5e990c
SHA512: b1f45d3f6963cae362bdc7386cf79920db760ad727f2fc63c2f41707eac5369631025fab17a34fc3c00ab88e7333e7b03dc77b82a6847f7b67b5d2fdbc540d9e
Homepage: https://cran.r-project.org/package=aslib
Description: CRAN Package 'aslib' (Interface to the Algorithm Selection Benchmark Library)
 Provides an interface to the algorithm selection benchmark library at
 <http://www.aslib.net> and the 'LLAMA' package
 (<https://cran.r-project.org/package=llama>) for building algorithm
 selection models; see Bischl et al. (2016)
 <doi:10.1016/j.artint.2016.04.003>.

Package: r-cran-asm
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fdrtool, r-cran-pracma, r-cran-iso, r-cran-mass, r-cran-quantreg
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-asm_0.2.4-1.ca2004.1_all.deb
Size: 70952
MD5sum: 89d43a292695902c7220e69285c38694
SHA1: b2b67ec498f0095e44d8f8d6697e77c0e035862b
SHA256: 6b7f475a8089474e65e4a9e53e5b68e0135602fcc42c2c108d86cec8b313277f
SHA512: b192f93f6ad5ff590c0d5378e57a6c16142ddf44d09ae2ed772a173d277275ed99e9494802922005c81f1d56ed0cd8ab799cf4385c51853330de3f728e434eee
Homepage: https://cran.r-project.org/package=asm
Description: CRAN Package 'asm' (Optimal Convex M-Estimation for Linear Regression via AntitonicScore Matching)
 Performs linear regression with respect to a data-driven convex loss
 function that is chosen to minimize the asymptotic covariance of the
 resulting M-estimator. The convex loss function is estimated in 5 steps: (1)
 form an initial OLS (ordinary least squares) or LAD (least absolute
 deviation) estimate of the regression coefficients; (2) use the resulting
 residuals to obtain a kernel estimator of the error density; (3) estimate
 the score function of the errors by differentiating the logarithm of the
 kernel density estimate; (4) compute the L2 projection of the estimated
 score function onto the set of decreasing functions; (5) take a negative
 antiderivative of the projected score function estimate. Newton's method
 (with Hessian modification) is then used to minimize the convex empirical
 risk function. Further details of the method are given in Feng et al. (2024)
 <doi:10.48550/arXiv.2403.16688>.

Package: r-cran-asmbook
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-lattice, r-cran-mass, r-cran-tmb
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-asmbook_1.0.2-1.ca2004.1_all.deb
Size: 126268
MD5sum: 852af044f98d24384833a1281b0be2d6
SHA1: 721841c41a447df13dd0125e8e618ad1fcc6735b
SHA256: b282dddb9925bd7759c23dcbacd2c9dae20c37996efb9fce0675a2899c5bc708
SHA512: 889d400e711afd6bff50c11ca9da625465f724d4b5802cf97677a7e87ce55c42c5e0216ad2255d8bdd3a3ae6547fcef985c1cfc2fd5b732bc6d275692390d82a
Homepage: https://cran.r-project.org/package=ASMbook
Description: CRAN Package 'ASMbook' (Functions for the Book "Applied Statistical Modeling forEcologists")
 Provides functions to accompany the book "Applied Statistical Modeling for
 Ecologists" by Marc Kéry and Kenneth F. Kellner (2024, ISBN: 9780443137150).
 Included are functions for simulating and customizing the datasets used for
 the example models in each chapter, summarizing output from model fitting
 engines, and running custom Markov Chain Monte Carlo.

Package: r-cran-asml
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-reshape2, r-cran-polychrome, r-cran-scales, r-cran-rlang
Suggests: r-cran-snow
Filename: pool/dists/focal/main/r-cran-asml_1.0.0-1.ca2004.1_all.deb
Size: 184036
MD5sum: 3f385c23ec391abc1ce1d778fe4029e8
SHA1: 298c9e9fdb7ca9d2e149adc0d8b399be2524fa5c
SHA256: 6d745a70a681bdfa8c23a42d188bc2402e52d6f4ba74992221469491c3b2fadc
SHA512: 15045f68fcd28247e3e0c6e3a63a0609b364189124ae4ca404ae95004868e3400325ee912b1ddf245c84fe935196c39de317b4b7afc4643367abce4db5c4db68
Homepage: https://cran.r-project.org/package=ASML
Description: CRAN Package 'ASML' (Algorithm Portfolio Selection with Machine Learning)
 A wrapper for machine learning (ML) methods to select among a portfolio of
 algorithms based on the value of a key performance indicator (KPI). A number
 of features is used to adjust a model to predict the value of the KPI for
 each algorithm, then, for a new value of the features the KPI is estimated
 and the algorithm with the best one is chosen. To learn it can use the
 regression methods in 'caret' package or a custom function defined by the
 user. Several graphics available to analyze the results obtained. This
 library has been used in Ghaddar et al. (2023)
 <doi:10.1287/ijoc.2022.0090>).

Package: r-cran-asnipe
Architecture: all
Version: 1.1.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-ape, r-cran-raster, r-cran-sna
Filename: pool/dists/focal/main/r-cran-asnipe_1.1.17-1.ca2004.1_all.deb
Size: 441092
MD5sum: 44edff8e10c307295c96fa43fe75b345
SHA1: 951851a357b0fd667858ec4e6e7088d2c42666c5
SHA256: 682f66859ed8bcfae3f8cbadcd5e57be18fd2a74d8c9325ef1a8445f507090dd
SHA512: ac4fe64eb45cddc930e861f3c2a59ce3764303aaa172089d3a746e33059344f5ea1ca06cf1b1484cd6435fbfe329874c8dd512aefe2285ed21ba5cf775308603
Homepage: https://cran.r-project.org/package=asnipe
Description: CRAN Package 'asnipe' (Animal Social Network Inference and Permutations for Ecologists)
 Implements several tools that are used in animal social network analysis, as
 described in Whitehead (2007) Analyzing Animal Societies <University of
 Chicago Press> and Farine & Whitehead (2015) <doi: 10.1111/1365-2656.12418>.
 In particular, this package provides the tools to infer groups and generate
 networks from observation data, perform permutation tests on the data,
 calculate lagged association rates, and performed multiple regression
 analysis on social network data.

Package: r-cran-aspace
Architecture: all
Version: 4.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-splancs, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-aspace_4.1.2-1.ca2004.1_all.deb
Size: 122500
MD5sum: be3acef66738fb48a433257f985548de
SHA1: 54c7b98bec9d8b4ae9990eefc8bc01f1d0a28716
SHA256: 103c23baa636cd0004f333e4ef1d1089c29266a25d2ad5cd65c79e0779dca393
SHA512: f217ee0dd7cce6b8b8561d477109cdc58ff28eb99fc00abe2a8f116fdb79cca7ab4c45d96acb35b9703db61dcee4765ce50505a55c365f9873c1570f1a8b807d
Homepage: https://cran.r-project.org/package=aspace
Description: CRAN Package 'aspace' (Functions for Estimating Centrographic Statistics)
 A collection of functions for computing centrographic statistics (e.g.,
 standard distance, standard deviation ellipse, standard deviation box) for
 observations taken at point locations. Separate plotting functions have been
 developed for each measure. Users interested in writing results to ESRI
 shapefiles can do so by using results from 'aspace' functions as inputs to
 the convert.to.shapefile() and write.shapefile() functions in the
 'shapefiles' library. We intend to provide 'terra' integration for
 geographic data in a future release.  The 'aspace' package was originally
 conceived to aid in the analysis of spatial patterns of travel behaviour
 (see Buliung and Remmel 2008 <doi:10.1007/s10109-008-0063-7>).

Package: r-cran-aspc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-energy
Filename: pool/dists/focal/main/r-cran-aspc_0.1.2-1.ca2004.1_all.deb
Size: 27780
MD5sum: a134e39564352bef79456f8545b5711f
SHA1: 4e2ffd56d378ad95f92963d4ba3303f552c986fd
SHA256: de248de3e0caa3ff452873bbc815ee2d09ba6ca94184beb0500193991a716eac
SHA512: 8aec6f22c68488349b48e0fa67ca55c3f3da155df7a7f094fc50637afa1b482e146c09730ef0670aaa3d8c884c973d4e79b6fc491c9afe046b17d88ceab6dccc
Homepage: https://cran.r-project.org/package=aSPC
Description: CRAN Package 'aSPC' (An Adaptive Sum of Powered Correlation Test (aSPC) for GlobalAssociation Between Two Random Vectors)
 The aSPC test is designed to test global association between two groups of
 variables potentially with moderate to high dimension (e.g. in hundreds).
 The aSPC is particularly useful when the association signals between two
 groups of variables are sparse.

Package: r-cran-aspect
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-sem, r-cran-polycor
Filename: pool/dists/focal/main/r-cran-aspect_1.0-7-1.ca2004.1_all.deb
Size: 93968
MD5sum: b9cbe8b35e3a1702bd0764c2858309ca
SHA1: 895955d8d89915148d76ab8db3df9c85311b1cdc
SHA256: 31bd117cd3c3c484a2c1cb586785166157985b6fce90af42bc1786bc0d1e18e2
SHA512: 05821c28a5b53a3d3aaac65506a63957f8c6795c5fb63e4491a1acfa92ba900efb85c32d3a887f2943cd6dcc6eb673aae25e806c113fe2b5d4de29b08dbcfb60
Homepage: https://cran.r-project.org/package=aspect
Description: CRAN Package 'aspect' (A General Framework for Multivariate Analysis with OptimalScaling)
 Contains various functions for optimal scaling. One function performs
 optimal scaling by maximizing an aspect (i.e. a target function such as the
 sum of eigenvalues, sum of squared correlations, squared multiple
 correlations, etc.) of the corresponding correlation matrix. Another
 function performs implements the LINEALS approach for optimal scaling by
 minimization of an aspect based on pairwise correlations and correlation
 ratios. The resulting correlation matrix and category scores can be used for
 further multivariate methods such as structural equation models.

Package: r-cran-aspi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aspi_0.2.0-1.ca2004.1_all.deb
Size: 74436
MD5sum: 64902d0c08a63852c5a4fd8c6281bcde
SHA1: 43b365e284b4fcbb5b524fabf9e2bda749b5142b
SHA256: 7038bebbcd01aefb494fc49173b1fb446b4dda9ae0558e8a54a73d13dc2d8329
SHA512: 6053422dce1e7c66a0f0f1d0881b8989f52a9c32ffcb973506ee0898ff8316df892954a8c590e934388cbd49a2e740022b81bdd19eb690e451651d506752833c
Homepage: https://cran.r-project.org/package=aspi
Description: CRAN Package 'aspi' (Analysis of Symmetry of Parasitic Infections)
 Tools for the analysis and visualization of bilateral asymmetry in parasitic
 infections.

Package: r-cran-aspu
Architecture: all
Version: 1.50-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 873
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-mass, r-cran-mvtnorm, r-cran-fields, r-cran-matrixstats
Suggests: r-cran-rmarkdown, r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-aspu_1.50-1.ca2004.1_all.deb
Size: 743868
MD5sum: 3f79a7470d9390e655415ab5863ab159
SHA1: d4fbc8cbbdab4aa4458bd44ecfbfea17bf90502e
SHA256: 56160261c070f41d6ba2836bc36d371f2d5bbb11e5731bc8e9072d756b104d50
SHA512: c158be8b46cbbdf70ccf771a6a8123f7adcd5491ae1d587ce8555b06c4581702cf9c1043d391343fc03400000f94e5d2700de12881c4e8d5a0a1dc48c4f3922c
Homepage: https://cran.r-project.org/package=aSPU
Description: CRAN Package 'aSPU' (Adaptive Sum of Powered Score Test)
 R codes for the (adaptive) Sum of Powered Score ('SPU' and 'aSPU') tests,
 inverse variance weighted Sum of Powered score ('SPUw' and 'aSPUw') tests
 and gene-based and some pathway based association tests (Pathway based Sum
 of Powered Score tests ('SPUpath'), adaptive 'SPUpath' ('aSPUpath') test,
 'GEEaSPU' test for multiple traits - single 'SNP' (single nucleotide
 polymorphism) association in generalized estimation equations, 'MTaSPUs'
 test for multiple traits - single 'SNP' association with Genome Wide
 Association Studies ('GWAS') summary statistics, Gene-based Association Test
 that uses an extended 'Simes' procedure ('GATES'), Hybrid Set-based Test
 ('HYST') and extended version of 'GATES' test for pathway-based association
 testing ('GATES-Simes'). ).  The tests can be used with genetic and other
 data sets with covariates. The response variable is binary or quantitative.
 Summary; (1) Single trait-'SNP' set association with individual-level data
 ('aSPU', 'aSPUw', 'aSPUr'), (2) Single trait-'SNP' set association with
 summary statistics ('aSPUs'), (3) Single trait-pathway association with
 individual-level data ('aSPUpath'), (4) Single trait-pathway association
 with summary statistics ('aSPUsPath'), (5) Multiple traits-single 'SNP'
 association with individual-level data ('GEEaSPU'), (6) Multiple traits-
 single 'SNP' association with summary statistics ('MTaSPUs'), (7) Multiple
 traits-'SNP' set association with summary statistics('MTaSPUsSet'), (8)
 Multiple traits-pathway association with summary
 statistics('MTaSPUsSetPath').

Package: r-cran-asremlplus
Architecture: all
Version: 4.4.49-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3262
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dae, r-cran-devtools, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-nloptr, r-cran-qqplotr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rlang, r-cran-sticky, r-cran-stringr, r-cran-trycatchlog
Suggests: r-cran-emmeans, r-cran-lattice, r-cran-lmertest, r-cran-pbkrtest, r-cran-r.rsp, r-cran-testthat, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-asremlplus_4.4.49-1.ca2004.1_all.deb
Size: 3125640
MD5sum: 6176dea7cbb67815e6efb89c267ff36d
SHA1: 172512f4e13e35f10fe8a50a39b511c83c6a69c8
SHA256: da72d524e9dd26cfdc57cb4d347e9c4c692234a5ebe78656ed4dd6127898292e
SHA512: 075600fed60593d6f647ff5641b0e8865965e58744bf477959b796dd58162297278dacb281fd8e8288900a11fb75e621580f50752c29bba3395643eceddb25ef
Homepage: https://cran.r-project.org/package=asremlPlus
Description: CRAN Package 'asremlPlus' (Augments 'ASReml-R' in Fitting Mixed Models and PackagesGenerally in Exploring Prediction Differences)
 Assists in automating the selection of terms to include in mixed models when
 'asreml' is used to fit the models. Procedures are available for choosing
 models that conform to the hierarchy or marginality principle, for fitting
 and choosing between two-dimensional spatial models using correlation,
 natural cubic smoothing spline and P-spline models. A history of the fitting
 of a sequence of models is kept in a data frame.  Also used to compute
 functions and contrasts of, to investigate differences between and to plot
 predictions obtained using any model fitting function. The content falls
 into the following natural groupings: (i) Data, (ii) Model modification
 functions, (iii) Model selection and description functions, (iv) Model
 diagnostics and simulation functions, (v) Prediction production and
 presentation functions, (vi) Response transformation functions, (vii) Object
 manipulation functions, and (viii) Miscellaneous functions (for further
 details see 'asremlPlus-package' in help). The 'asreml' package provides a
 computationally efficient algorithm for fitting a wide range of linear mixed
 models using Residual Maximum Likelihood. It is a commercial package and a
 license for it can be purchased from 'VSNi' <https://vsni.co.uk/> as
 'asreml-R', who will supply a zip file for local installation/updating (see
 <https://asreml.kb.vsni.co.uk/>). It is not needed for functions that are
 methods for 'alldiffs' and 'data.frame' objects. The package 'asremPlus' can
 also be installed from <http://chris.brien.name/rpackages/>.

Package: r-cran-asrgenomics
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4889
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-aghmatrix, r-cran-cowplot, r-cran-crayon, r-cran-data.table, r-cran-ellipse, r-cran-factoextra, r-cran-ggplot2, r-cran-matrix, r-cran-scattermore, r-cran-superheat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-v8, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-asrgenomics_1.1.4-1.ca2004.1_all.deb
Size: 4772140
MD5sum: 18b7011ee175846dc9284c537319e0a8
SHA1: abcce81c5557d1921f7aecc61723770494f14af5
SHA256: 301a7ffb9985f1777018e475bdcc1d5e52b88b602ece49b02cfd6d4c75cd0252
SHA512: a1047cc8050cce25c072a18db6aa5cdac97b8ddce119b02660c17698d68b56cb1ba6c74cda4d689d457dbed373f25e3bbcdfe1b8ef3092ec7508adea0bc0ab23
Homepage: https://cran.r-project.org/package=ASRgenomics
Description: CRAN Package 'ASRgenomics' (Complementary Genomic Functions)
 Presents a series of molecular and genetic routines in the R environment
 with the aim of assisting in analytical pipelines before and after the use
 of 'asreml' or another library to perform analyses such as Genomic Selection
 or Genome-Wide Association Analyses.  Methods and examples are described in
 Gezan, Oliveira, Galli, and Murray (2022)
 <https://asreml.kb.vsni.co.uk/wp-content/uploads/sites/3/ASRgenomics_Manual.pdf>.

Package: r-cran-assemblerr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 909
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-rlang, r-cran-magrittr, r-cran-glue, r-cran-vctrs, r-cran-cli, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-withr, r-cran-markdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-assemblerr_0.1.1-1.ca2004.1_all.deb
Size: 707388
MD5sum: 89dcf5c84f7fe7776c176e61ed77f90d
SHA1: b70dec3b73f1f6c63f3ce5e707b86856ac6f863c
SHA256: 76ddb408e89d4c10ca6c77880fad042438677fbe9e5efae503aae8886039bc7b
SHA512: 3d436f3d58b28b7651600efa4c84afc6526e25f41224b89d1615a4df8fbbdf95255831e0bbeaf820f131baf8e30210f3aa9b02040c73883d5ed3ec26fdae7483
Homepage: https://cran.r-project.org/package=assemblerr
Description: CRAN Package 'assemblerr' (Assembly of Pharmacometric Models)
 Construct pharmacometric nonlinear mixed effect models by combining
 predefined model components and automatically generate model code for
 NONMEM.  Models are created by combining parameter and observation models,
 algebraic relationships, compartments, and flows. Pharmacokinetic models can
 be assembled from the higher-order components: absorption, distribution, and
 elimination.  The generated code is optimized for performance by
 recognizing, for example, linear differential equations or differential
 equations with an analytic solution.

Package: r-cran-assert
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-assert_1.0.1-1.ca2004.1_all.deb
Size: 11308
MD5sum: feeb9d7540a75e419fead7f519028623
SHA1: 2e532bc219bdb1cc954d6292bf7f6a2d5caf9083
SHA256: 93a43741286ea292b1a55ef973fdd0b61968c78863a43c13e4920011baeff071
SHA512: 3e68ae9832c8f3d6d38956859f598d1bfda840ba5af7d1e040d844976b606ddd951e6de9592fbda5b4854bc1ad26057387c70194dfea323039b66f97fad3e7e4
Homepage: https://cran.r-project.org/package=assert
Description: CRAN Package 'assert' (Validate Function Arguments)
 Lightweight validation tool for checking function arguments and validating
 data analysis scripts. This is an alternative to stopifnot() from the 'base'
 package and to assert_that() from the 'assertthat' package. It provides more
 informative error messages and facilitates debugging.

Package: r-cran-assertable
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-assertable_0.2.8-1.ca2004.1_all.deb
Size: 56884
MD5sum: 8b61846eb7c88cdd8fbb5f21b8b821d2
SHA1: 6eba1bfba1cc9a0a952192d339f89018eb9d16be
SHA256: b50295898a1de68f5b0dbbd8dd5b477f60cb7060d1f81c00cd667aeb79b6be5c
SHA512: 3c50e544fe76a94d7cd33e6e41bc609f06e0d2bcb23d1d74c8c074ce44da3b75a03bd0b0e61c68cfc4531cef0b8b6701355c2ab933cc5b2f9db44db53e3ba1d3
Homepage: https://cran.r-project.org/package=assertable
Description: CRAN Package 'assertable' (Verbose Assertions for Tabular Data (Data.frames andData.tables))
 Simple, flexible, assertions on data.frame or data.table objects with
 verbose output for vetting. While other assertion packages apply towards
 more general use-cases, assertable is tailored towards tabular data. It
 includes functions to check variable names and values, whether the dataset
 contains all combinations of a given set of unique identifiers, and whether
 it is a certain length. In addition, assertable includes utility functions
 to check the existence of target files and to efficiently import multiple
 tabular data files into one data.table.

Package: r-cran-asserthe
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-ggplot2, r-cran-dplyr, r-cran-visnetwork, r-cran-covr, r-cran-htmltools, r-cran-officer, r-cran-flextable, r-cran-knitr, r-cran-shiny, r-cran-shinyjs, r-cran-rstudioapi, r-cran-roxygen2, r-cran-waiter, r-cran-igraph, r-cran-httr
Suggests: r-cran-testthat, r-cran-colourpicker, r-cran-clipr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-asserthe_1.0.0-1.ca2004.1_all.deb
Size: 188236
MD5sum: aa6161de84774b4c8ac0452aa1e88f48
SHA1: 875f84c43e3d100ee0f3273d40783146223013ce
SHA256: ab954df7c6ec43deeb7270487c1926e9c5d9a860c2d3855b2123434a734b06e7
SHA512: 31099797066360e7955650508389b1e65d35d02db043af7701c2c6877753f1a685fe054facf8edc6d24ae1d264a6302aaccab89d0b586883ffcc13e8649e9c15
Homepage: https://cran.r-project.org/package=assertHE
Description: CRAN Package 'assertHE' (Visualisation and Verification of Health Economic DecisionModels)
 Designed to help health economic modellers when building and reviewing
 models.  The visualisation functions allow users to more easily review the
 network of functions in a project, and get lay summaries of them. The
 asserts included are intended to check for common errors, thereby freeing up
 time for modellers to focus on tests specific to the individual model in
 development or review.  For more details see Smith and colleagues
 (2024)<doi:10.12688/wellcomeopenres.23180.1>.

Package: r-cran-assertions
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-assertions_0.2.0-1.ca2004.1_all.deb
Size: 486912
MD5sum: 26ca698b1643cf1eb650ee30363f4af7
SHA1: a03a81c17f5c315f4d2f7cb740195557d8fae20b
SHA256: 99c519b99116af1a4e24d9a4185d0f7095532af7c6c89306acab98fd002bb24c
SHA512: 59e9f0371a677d30cb0988a64e1e431a1a7c082ff028667140d524dcd0d1ebebf59f56acffc39075b413b2608180456cb3b1b19c167a09538683d06d2b96e79f
Homepage: https://cran.r-project.org/package=assertions
Description: CRAN Package 'assertions' (Simple Assertions for Beautiful and Customisable Error Messages)
 Provides simple assertions with sensible defaults and customisable error
 messages.  It offers convenient assertion call wrappers and a general assert
 function that can handle any condition.  Default error messages are user
 friendly and easily customized with inline code evaluation and styling
 powered by the 'cli' package.

Package: r-cran-assertive.base
Architecture: all
Version: 0.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.base_0.0-9-1.ca2004.1_all.deb
Size: 108728
MD5sum: 9b30af5a3378192c260ea598abb679d2
SHA1: 19478a15e34aafec08ea3849d1376990b44f3513
SHA256: 9ce38dababd5698a0d37e43d0b1e36391156c3981f058f4e7f81401387ba28fd
SHA512: 8ea90851eb825b7eae5085f4c667725083ca296a11a3728f2cdf91a195f1b030f673634299df95f4da331b9f001bf412d19774a358a27e9961850bff34cfb3f5
Homepage: https://cran.r-project.org/package=assertive.base
Description: CRAN Package 'assertive.base' (A Lightweight Core of the 'assertive' Package)
 A minimal set of predicates and assertions used by the assertive package.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.code
Architecture: all
Version: 0.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertive.base, r-cran-assertive.properties, r-cran-assertive.types
Suggests: r-cran-testthat, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-assertive.code_0.0-4-1.ca2004.1_all.deb
Size: 45660
MD5sum: 90c1dfc4adbf9bba831605e72e1425bd
SHA1: 14bf98963aa89bc971b559f463b9cfd9687ddf9a
SHA256: 83d2cb528188f91fec3c38d82bfd5c30ae45f4baed069fe67a220e462a3c7a61
SHA512: 849120d46c9e2d6a4e1339d5e6a1a2da6b93f57ce1a7e11112cb4626e7077a0d68bd0ff372817587a2dba8ef3ff015fd0206101661a1b1e702959016bcf68a5d
Homepage: https://cran.r-project.org/package=assertive.code
Description: CRAN Package 'assertive.code' (Assertions to Check Properties of Code)
 A set of predicates and assertions for checking the properties of code. This
 is mainly for use by other package developers who want to include run-time
 testing features in their own packages. End-users will usually want to use
 assertive directly.

Package: r-cran-assertive.data.uk
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.strings
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.data.uk_0.0-2-1.ca2004.1_all.deb
Size: 35532
MD5sum: e008177e4962851f6e997e1a9554d32b
SHA1: 498bb45927bea8983a7904b9468ad09c77d13e61
SHA256: 5ea923fea02c686f4076ec1cf6bf42d2c22c11d4052a5b940f6df5800449ca9b
SHA512: de325bb7ae1b79dceaf48b7eb03dbe77dc32fbc1919191b189021345b38d6cfdc3b921fd6adc79693512b85a7998983c547703086a25e5419269d35a80ac398a
Homepage: https://cran.r-project.org/package=assertive.data.uk
Description: CRAN Package 'assertive.data.uk' (Assertions to Check Properties of Strings)
 A set of predicates and assertions for checking the properties of
 UK-specific complex data types.  This is mainly for use by other package
 developers who want to include run-time testing features in their own
 packages.  End-users will usually want to use assertive directly.

Package: r-cran-assertive.data.us
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.strings
Suggests: r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-assertive.data.us_0.0-2-1.ca2004.1_all.deb
Size: 26020
MD5sum: c83a37e3d89289fd7d4be42f48d81af3
SHA1: 57b803227ab338db1420e162dc78ae64f50e1f09
SHA256: 08ce751596d0c39bb5cf30bc6fe1994325fde28a34fda1bbf15647a50559d82b
SHA512: f76249e353347b031655256d5b6a642ce601a1a5ef64863ecaa8451b69acc791d8de1d3aa2888ea2cab12c3610c1a4373a285d3b31c09e83c4942b43e8ef6eca
Homepage: https://cran.r-project.org/package=assertive.data.us
Description: CRAN Package 'assertive.data.us' (Assertions to Check Properties of Strings)
 A set of predicates and assertions for checking the properties of
 US-specific complex data types.  This is mainly for use by other package
 developers who want to include run-time testing features in their own
 packages.  End-users will usually want to use assertive directly.

Package: r-cran-assertive.data
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Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.strings
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.data_0.0-3-1.ca2004.1_all.deb
Size: 52320
MD5sum: 122aa83f955a97067ffccf243dc206f1
SHA1: c0374d0ace70b201f219d5fae457d0c0fb7841bf
SHA256: 5bd7fbac90b87f5add9bfd549d553a113a8696f3c5da053b606f24112f7e6000
SHA512: 5a277fbec7ef87917f74009b635f5f652eef29b6a116b861ec89c420e093771583be2763e74b24b76282fe983fbb8d34d2e542e6ad363a1a8836c08cb73a5cf2
Homepage: https://cran.r-project.org/package=assertive.data
Description: CRAN Package 'assertive.data' (Assertions to Check Properties of Data)
 A set of predicates and assertions for checking the properties of (country
 independent) complex data types.  This is mainly for use by other package
 developers who want to include run-time testing features in their own
 packages.  End-users will usually want to use assertive directly.

Package: r-cran-assertive.datetimes
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.types
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.datetimes_0.0-3-1.ca2004.1_all.deb
Size: 26080
MD5sum: 61ded2b3527360800cc6cc534922fb94
SHA1: 30b957b426e2e0f1a53e93a2411d22a0d184fd39
SHA256: 80f933249febe64ee394c544102fd2fce4d12668aca03646f6e5c263a682c5c2
SHA512: f8816572c8888e31420f2842128b9894d00210f882d1034be7fdc447aab84a31a270eb7c103f2891b351a77deeb4de169841fb502a808f41926a996e5141fb75
Homepage: https://cran.r-project.org/package=assertive.datetimes
Description: CRAN Package 'assertive.datetimes' (Assertions to Check Properties of Dates and Times)
 A set of predicates and assertions for checking the properties of dates and
 times.  This is mainly for use by other package developers who want to
 include run-time testing features in their own packages.  End-users will
 usually want to use assertive directly.

Package: r-cran-assertive.files
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Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.numbers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.files_0.0-2-1.ca2004.1_all.deb
Size: 65896
MD5sum: c03e93774152da2aa1d508198ecde51f
SHA1: 2d17b2991298f0d48a58b7a1169d560e96e4d905
SHA256: d29faf5ba4b58cbd3972264a6be3de3377c6c85fd3cfca6d28db08b215ee4bd0
SHA512: fcf9723b11ee592e268bfa1e6cae670f6cdaf086a9013a4e2d0add2fba9870fb832317d35c914ec28129934fcf17ff43b31062cedf109d090c2e0459b2420847
Homepage: https://cran.r-project.org/package=assertive.files
Description: CRAN Package 'assertive.files' (Assertions to Check Properties of Files)
 A set of predicates and assertions for checking the properties of files and
 connections.  This is mainly for use by other package developers who want to
 include run-time testing features in their own packages.  End-users will
 usually want to use assertive directly.

Package: r-cran-assertive.matrices
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Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.matrices_0.0-2-1.ca2004.1_all.deb
Size: 30544
MD5sum: 70835776ac0678433ad8cde4e1ac7a3b
SHA1: daebbe3cae08fb0bc63f0df51bd3780774390bc2
SHA256: ce614dcbede41a663e7bd05f2028505652c299cdf1f3794b19a3e43f8e2a2e28
SHA512: 7cbfe7ae3f2745d8ab86011444ee612928c629d20530de3b68e3a1d035d309c29c4a4135923ff1f04c83590ea0f8ec2cee4560fb93cc4f703b07f482e125ee9f
Homepage: https://cran.r-project.org/package=assertive.matrices
Description: CRAN Package 'assertive.matrices' (Assertions to Check Properties of Matrices)
 A set of predicates and assertions for checking the properties of matrices.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.models
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Version: 0.0-2-1.ca2004.1
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Section: gnu-r
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Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
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Size: 17020
MD5sum: 8c575e2af1ffb60daf6d2f06c323809a
SHA1: cbd76551e0953041f0d063875f2546e31444109a
SHA256: 2a662304b7ddb7722da2fb0d59ef50ef3ac9573c4a6e2e1b765ec559910737c1
SHA512: 3f99576a1fa98f366289e9bf8a180d6c320dd6499b602a18a078a58e1315ad35fefd4a7bdde9bbc94ccfb86bee3d1a165a1dec466b82ab4fea2df14bb82972d1
Homepage: https://cran.r-project.org/package=assertive.models
Description: CRAN Package 'assertive.models' (Assertions to Check Properties of Models)
 A set of predicates and assertions for checking the properties of models.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.numbers
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.numbers_0.0-2-1.ca2004.1_all.deb
Size: 91272
MD5sum: cd7d2ccd31bdf549779600fd5c62ea34
SHA1: 1d110febdf4caff0340003d6017b758e51761671
SHA256: f1d79d5a0b132e2d11e56c807ca888bcaf164351c59f2316c8a16787c45847c8
SHA512: 04f45887f78fc47b731cbb36c84be5ed20219254590873dcd408e3728c181906415a2565f0adb16fb71b96df35d98a7b3cdc65bd77937e0fda1adf2665e78603
Homepage: https://cran.r-project.org/package=assertive.numbers
Description: CRAN Package 'assertive.numbers' (Assertions to Check Properties of Numbers)
 A set of predicates and assertions for checking the properties of numbers.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.properties
Architecture: all
Version: 0.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.properties_0.0-5-1.ca2004.1_all.deb
Size: 87728
MD5sum: e770229666705d4f23379469eb65a87e
SHA1: 6f58a86b2d6ef233aa6aa4bec31273ce11faf4dc
SHA256: 8bddb9a88e72685f04fe8338a3dd2ac59e49105c9086009942db06220931ef3f
SHA512: ea39697e65a79cf0bd523e5ac61d0cf9b32e1e399a9f38c7b849ec9b59e5b9b4c2d349679acbda05c93b152f3b90c80dfd1ea19d563cf66e7251f3c1d50cab4d
Homepage: https://cran.r-project.org/package=assertive.properties
Description: CRAN Package 'assertive.properties' (Assertions to Check Properties of Variables)
 A set of predicates and assertions for checking the properties of variables,
 such as length, names and attributes.  This is mainly for use by other
 package developers who want to include run-time testing features in their
 own packages.  End-users will usually want to use assertive directly.

Package: r-cran-assertive.reflection
Architecture: all
Version: 0.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.reflection_0.0-5-1.ca2004.1_all.deb
Size: 118196
MD5sum: 8d14d41bb11d063cea964ffeef1066f7
SHA1: c5b4f7e8dd5d093346dcc2ca129c1d8878451487
SHA256: 4bc8e071c866bb8fe8f3f467cd626b990c8326535684189e26790b0ac09ad5a0
SHA512: ae26ca92da78b059e2baad23d75efa76b35b0f6970ad1bd99133bb0ff717d58ca6774d94d2e419763614005dae4caa458a997e34d288be873322fba4c206ad52
Homepage: https://cran.r-project.org/package=assertive.reflection
Description: CRAN Package 'assertive.reflection' (Assertions for Checking the State of R)
 A set of predicates and assertions for checking the state and capabilities
 of R, the operating system it is running on, and the IDE being used.  This
 is mainly for use by other package developers who want to include run-time
 testing features in their own packages.  End-users will usually want to use
 assertive directly.

Package: r-cran-assertive.sets
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.sets_0.0-3-1.ca2004.1_all.deb
Size: 19464
MD5sum: 83eaf8c7333d108c16838446a51c9fb6
SHA1: e245e208ddb971bd6c76bc8d042f95099a43d02b
SHA256: 09058903f3454523a825b7d1d3a10b450cf39ce4a7b5fd0c42b7c38cc1cb8887
SHA512: 10e3dd1fa286bf39aab94a3d7fb49a91967360da919a3f259d1c9a7662e13d6abc7a5ac18f5c909e4f7c32b8486cd57af09650131a3d76969669dc6e2aa7c2fa
Homepage: https://cran.r-project.org/package=assertive.sets
Description: CRAN Package 'assertive.sets' (Assertions to Check Properties of Sets)
 A set of predicates and assertions for checking the properties of sets.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.strings
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.types, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assertive.strings_0.0-3-1.ca2004.1_all.deb
Size: 65276
MD5sum: 1451f5f81d25e698c9b676b5af8796b4
SHA1: 7715c75b981af0e207761f49daa2b6dc14fffcb6
SHA256: f72fbe37833b203d25b3aebdd2b7af2027535d356422de153c37cdece8c31ff4
SHA512: 022520f7c882a3fb63cac18631aa356ff8fbe0b77fc91ab6c5a252b755f93bc3fb2045685bbff3a8021160a330103c78296878ce09df870c4bc1a54b06383d38
Homepage: https://cran.r-project.org/package=assertive.strings
Description: CRAN Package 'assertive.strings' (Assertions to Check Properties of Strings)
 A set of predicates and assertions for checking the properties of strings.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive.types
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.properties, r-cran-codetools
Suggests: r-cran-testthat, r-cran-data.table, r-cran-dplyr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-assertive.types_0.0-3-1.ca2004.1_all.deb
Size: 813508
MD5sum: 57a8c7d280691f6f8c078b65370a16c2
SHA1: c3d8b7bdb7216291f21f65a1cd154929c118fd51
SHA256: b7de2ec81c4abecf2152fced7ddc7de55c839e20e7ed7188803870b5afd862d0
SHA512: 43cd240f6025ff57bf222a3751629d31c1b4386a00007ede5bcf480d9fd1a6882ec5b1e198fdfade96509293f9f8a42bc1f4b84272866a7c6b9d9f46388e8cf2
Homepage: https://cran.r-project.org/package=assertive.types
Description: CRAN Package 'assertive.types' (Assertions to Check Types of Variables)
 A set of predicates and assertions for checking the types of variables.
 This is mainly for use by other package developers who want to include
 run-time testing features in their own packages.  End-users will usually
 want to use assertive directly.

Package: r-cran-assertive
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2866
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.properties, r-cran-assertive.types, r-cran-assertive.numbers, r-cran-assertive.strings, r-cran-assertive.datetimes, r-cran-assertive.files, r-cran-assertive.sets, r-cran-assertive.matrices, r-cran-assertive.models, r-cran-assertive.data, r-cran-assertive.data.uk, r-cran-assertive.data.us, r-cran-assertive.reflection, r-cran-assertive.code, r-cran-knitr
Suggests: r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-assertive_0.3-6-1.ca2004.1_all.deb
Size: 377336
MD5sum: aecbc51fb5e62c049c232e2495c4ec0c
SHA1: d8f9d1c07523a2040c80bc97d479c46412ea9ee9
SHA256: a70b78b682c69874292e13e166881847e1b2bd4d37c1765ebd72fbf0ab6af725
SHA512: cf9ac0d53588a5155b8e0271b4dcb2d958435ef91ceda0065c9143cbd9b5b2036e91d0c111e432a5ddde59c5022e1ff25dd50c92268fe7782979bd274e84ba88
Homepage: https://cran.r-project.org/package=assertive
Description: CRAN Package 'assertive' (Readable Check Functions to Ensure Code Integrity)
 Lots of predicates (is_* functions) to check the state of your variables,
 and assertions (assert_* functions) to throw errors if they aren't in the
 right form.

Package: r-cran-assertr
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat, r-cran-magrittr, r-cran-rmarkdown, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-assertr_3.0.1-1.ca2004.1_all.deb
Size: 170124
MD5sum: da93c380bd891c2a0a09ffcaf118cace
SHA1: 75dcf03ebdeefdbd3ab04ab62b11b7c2f0694eb5
SHA256: 7063a8127406721ff67ac4b2cf489c8313f0459987f01d04de69855b6f9f13cb
SHA512: d17514c8b63348de1ee6063ba9e1e39753c99d4f5b09e97774f1467ddeca4be50e5cd0e939a63be177c26616a186d31e2e4da2a010a4bf83b13328741ac55601
Homepage: https://cran.r-project.org/package=assertr
Description: CRAN Package 'assertr' (Assertive Programming for R Analysis Pipelines)
 Provides functionality to assert conditions that have to be met so that
 errors in data used in analysis pipelines can fail quickly. Similar to
 'stopifnot()' but more powerful, friendly, and easier for use in pipelines.

Package: r-cran-assertthat
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-assertthat_0.2.1-1.ca2004.1_all.deb
Size: 53576
MD5sum: 12bcef4586e57c1bbcd6f3206ab54654
SHA1: 8e82e18acbf184e5272169b52289e4ff445fe14f
SHA256: 2b6977ce31f931e4bb50364bc2e8a8bdba0a2688770d3cd8ae6af6765d3035f9
SHA512: 4b5c28c0aa51841ab2749aa6581781817f8c23d02ea2aec5e5446698315556e4a1c210edaee9e0ab99592fc18caf373ee39ccfbd16c6135390dee9b459801206
Homepage: https://cran.r-project.org/package=assertthat
Description: CRAN Package 'assertthat' (Easy Pre and Post Assertions)
 An extension to stopifnot() that makes it easy to declare the pre and post
 conditions that you code should satisfy, while also producing friendly error
 messages so that your users know what's gone wrong.

Package: r-cran-assessor
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tweedie, r-cran-mass, r-cran-vgam, r-cran-np
Suggests: r-cran-pscl, r-cran-statmod, r-cran-rmarkdown, r-cran-knitr, r-cran-aer, r-cran-faraway, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assessor_1.1.1-1.ca2004.1_all.deb
Size: 448780
MD5sum: 4f147a830bd16c0e640a7e4c5502a107
SHA1: 744735cd85a7c34276dac4b05ec23b2f71f9f97e
SHA256: fc21eed54c0f40f595be69c58397d3fb310e2fcaa53e7aa463d2c35cea246d38
SHA512: 04ee75de8b66c647f07ab9de9c80519b5a39b8676ba4d7f103b572eebebcd864a5d767e1b0e8411e279a33e1d3b65d35f7a8b13d80e0801328b65ee757234acb
Homepage: https://cran.r-project.org/package=assessor
Description: CRAN Package 'assessor' (Assessment Tools for Regression Models with Discrete andSemicontinuous Outcomes)
 Provides assessment tools for regression models with discrete and
 semicontinuous outcomes proposed in Yang (2023)
 <doi:10.48550/arXiv.2308.15596>. It calculates the double probability
 integral transform (DPIT) residuals, constructs QQ plots of residuals and
 the ordered curve for assessing mean structures.

Package: r-cran-assetallocation
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4690
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-performanceanalytics, r-cran-quantmod, r-cran-riskportfolios, r-cran-xts, r-cran-zoo, r-cran-nmof, r-cran-riskparityportfolio, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assetallocation_1.1.1-1.ca2004.1_all.deb
Size: 2548324
MD5sum: f0a782326567adc40a69a95e60f99482
SHA1: e3c444e7ed78d184081110f259a32540a21dc519
SHA256: e03049f53f19dd6372be174ba1bb2e42a62d264dd72cbbd56aa090b8c0b7b0e2
SHA512: 6304e9f8897ab390c50d8879716d8de1f6fc8c57261304925ab01e2ef888e8f3d86757c91c95e78c0e156d381fe78fed2bf85a17ab2947778baa1364ac1790c1
Homepage: https://cran.r-project.org/package=AssetAllocation
Description: CRAN Package 'AssetAllocation' (Backtesting Simple Asset Allocation Strategies)
 Easy and quick testing of customizable asset allocation strategies.  Users
 can rely on their own data, or have the package automatically download data
 from Yahoo Finance (<https://finance.yahoo.com/>). Several pre-loaded
 portfolios with data are available, including some which are discussed in
 Faber (2015, ISBN:9780988679924).

Package: r-cran-assetcorr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1291
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vinecopula, r-cran-mvtnorm, r-cran-boot, r-cran-numderiv, r-cran-mvquad, r-cran-ggplot2, r-cran-rdpack, r-cran-knitr, r-cran-qpdf
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-assetcorr_1.0.4-1.ca2004.1_all.deb
Size: 622840
MD5sum: ab60aaa497a1d51c64e2f26502e295bc
SHA1: 9e6f86e0aec33b3df2c1b6526f56d88a6000a3a0
SHA256: 863b425a2dff2a1a237f35891003c147fe541b195660c6b8a19dcfa0edc5b4b0
SHA512: 7a51f053b06192dc4cfd21066e0d0262d75157cbf4efc418bc2ef8f7d295ee337be4e330a207b98ac71360a4db125c71255ad126ee136d3382718f1455e6c546
Homepage: https://cran.r-project.org/package=AssetCorr
Description: CRAN Package 'AssetCorr' (Estimating Asset Correlations from Default Data)
 Functions for the estimation of intra- and inter-cohort correlations in the
 Vasicek credit portfolio model. For intra-cohort correlations, the package
 covers the two method of moments estimators of Gordy (2000)
 <doi:10.1016/S0378-4266(99)00054-0>, the method of moments estimator of
 Lucas (1995) <https://jfi.pm-research.com/content/4/4/76> and a Binomial
 approximation extension of this approach. Moreover, the maximum likelihood
 estimators of Gordy and Heitfield (2010)
 <http://elsa.berkeley.edu/~mcfadden/e242_f03/heitfield.pdf> and Duellmann
 and Gehde-Trapp (2004) <http://hdl.handle.net/10419/19729> are implemented.
 For inter-cohort correlations, the method of moments estimator of Bluhm and
 Overbeck (2003) <doi:10.1007/978-3-642-59365-9_2>/Bams et al. (2016)
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2676595> is provided
 and the maximum likelihood estimators comprise the approaches of Gordy and
 Heitfield (2010)/Kalkbrener and Onwunta (2010) <ISBN: 978-1906348250> and
 Pfeuffer et al. (2020). Bootstrap and Jackknife procedures for bias
 correction are included as well as the method of moments estimator of Frei
 and Wunsch (2018) <doi:10.21314/JCR.2017.231> for auto-correlated time
 series.

Package: r-cran-assetpricing
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-assetpricing_1.0-3-1.ca2004.1_all.deb
Size: 145312
MD5sum: 626fbfe7ac6231c6adf8ada1e995dbca
SHA1: 0acb24d5f75da7fcace80022806e64c633be586f
SHA256: 4bb127ed36851af4a42f5823c2f0508bfca3e3cfd5b605dc49cd8978201b8f7f
SHA512: f211d45054f2c133814c62eea3f39ce4d8dd216850ac0963347def533dcb71fd1c0ab0e98f65549caa01f5ea9dc2694709e3c037ec6c0c804aabe1010479e0c8
Homepage: https://cran.r-project.org/package=AssetPricing
Description: CRAN Package 'AssetPricing' (Optimal Pricing of Assets with Fixed Expiry Date)
 Calculates the optimal price of assets (such as airline flight seats, hotel
 room bookings) whose value becomes zero after a fixed ``expiry date''.
 Assumes potential customers arrive (possibly in groups) according to a known
 inhomogeneous Poisson process.  Also assumes a known time-varying elasticity
 of demand (price sensitivity) function.  Uses elementary techniques based on
 ordinary differential equations.  Uses the package deSolve to effect the
 solution of these differential equations.

Package: r-cran-assignpop
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 886
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-doparallel, r-cran-e1071, r-cran-foreach, r-cran-ggplot2, r-cran-mass, r-cran-randomforest, r-cran-reshape2, r-cran-stringr, r-cran-tree, r-cran-rlang
Suggests: r-cran-gtable, r-cran-iterators, r-cran-klar, r-cran-stringi, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-assignpop_1.3.0-1.ca2004.1_all.deb
Size: 241396
MD5sum: 814275286e8f82de23a3fb3486de7d2b
SHA1: efd9988980310e1ebf4fd76e5ee9d2656e87dd98
SHA256: 3856e49ab6c1a79a390e0537fffcb815ba4c78a2c430dd7ab1565a7fff344f4a
SHA512: 24f5e3f127e429b23777428bab94168fea859702683bf8df047fe53a6e59058ab848a195007ebcff8e4f827db4e30e7d1f169a0fd928eb0cbfe00842aa0971fa
Homepage: https://cran.r-project.org/package=assignPOP
Description: CRAN Package 'assignPOP' (Population Assignment using Genetic, Non-Genetic or IntegratedData in a Machine Learning Framework)
 Use Monte-Carlo and K-fold cross-validation coupled with machine- learning
 classification algorithms to perform population assignment, with
 functionalities of evaluating discriminatory power of independent training
 samples, identifying informative loci, reducing data dimensionality for
 genomic data, integrating genetic and non-genetic data, and visualizing
 results.

Package: r-cran-assignr
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvnfast, r-cran-rlang, r-cran-geosphere, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-assignr_2.4.3-1.ca2004.1_all.deb
Size: 724104
MD5sum: b85bdaebf4019d5baa4ee35fedd66d0e
SHA1: af24e16ddbc9bdade8f65570ad690a34960eaa19
SHA256: a32a15a562605f2655136497adf50a2e45ec1201fdb5333c71d0315249787f53
SHA512: 66792ac89f0f501fe4f0ffc51dc182de6897c6055f104d7e5dd10b9f7f8f8eef76623800b8b17dba1800e16e73581027b9e47ab3c8c2d4fc2088f40725a63f57
Homepage: https://cran.r-project.org/package=assignR
Description: CRAN Package 'assignR' (Infer Geographic Origin from Isotopic Data)
 Routines for re-scaling isotope maps using known-origin tissue isotope data,
 assigning origin of unknown samples, and summarizing and assessing
 assignment results. Methods are adapted from Wunder (2010, in
 ISBN:9789048133536) and Vander Zanden, H. B. et al. (2014)
 <doi:10.1111/2041-210X.12229> as described in Ma, C. et al. (2020)
 <doi:10.1111/2041-210X.13426>.

Package: r-cran-assistant
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4667
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-mvtnorm, r-cran-knitr, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-assistant_1.4.3-1.ca2004.1_all.deb
Size: 581468
MD5sum: 7168dad96585705438bd1a52769cb609
SHA1: f6b37f5422d053d66dc8b9a6aa9cc83948941c0f
SHA256: ed9563a4edf4370fede1a0e0f5c3d7ad571550cf425210f00724f403b8e64417
SHA512: f931bae1b6bbd89011de821c4af7b6d0c8e8f0accd2077f6f833e4e3aa6541f534dd94a8fffd6f007d9c18f7e738c7eb620ff47e770aac64cdb820d58f6d4c23
Homepage: https://cran.r-project.org/package=ASSISTant
Description: CRAN Package 'ASSISTant' (Adaptive Subgroup Selection in Group Sequential Trials)
 Clinical trial design for subgroup selection in three-stage group sequential
 trial as described in Lai, Lavori and Liao (2014,
 <doi:10.1016/j.cct.2014.09.001>). Includes facilities for design,
 exploration and analysis of such trials. An implementation of the initial
 DEFUSE-3 trial is also provided as a vignette.

Package: r-cran-assocafc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-assocafc_1.0.2-1.ca2004.1_all.deb
Size: 118264
MD5sum: ec8b559a4d5e0e952f394e9e53ce4c66
SHA1: a6c6467e9d76b5d315ba377da4f24cee0995e65e
SHA256: 7fcbe357a8df6d54eaaa011788062c32aa17434192920db7552d582dde5aa861
SHA512: d363358948703bbc86995c566d9777ddacb899e3912359e0b0cbcab6859446e2565574767c286ac060ee0d64a37d84dd82dc9408ce0350bb4ea30998c3915819
Homepage: https://cran.r-project.org/package=AssocAFC
Description: CRAN Package 'AssocAFC' (Allele Frequency Comparison)
 When doing association analysis one does not always have the genotypes for
 the control population.  In such cases it may be necessary to fall back on
 frequency based tests using well known sources for the frequencies in the
 control population, for instance, from the 1000 Genomes Project.  The Allele
 Frequency Comparison ('AssocAFC') package performs multiple rare variant
 association analyses in both population and family-based GWAS (Genome-Wide
 Association Study) designs. It includes three score tests that are based on
 the difference of the sum of allele frequencies between cases and controls.
 Two of these tests, Wcorrected() and Wqls(), are collapsing-based tests and
 suffer from having protective and risk variants. The third test, afcSKAT(),
 is a score test that overcomes the mix of SNP (Single-Nucleotide
 Polymorphism) effect directions. For more details see Saad M and Wijsman EM
 (2017) <doi:10.1093/bib/bbx107>.

Package: r-cran-assocbin
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1010
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-assocbin_1.1-0-1.ca2004.1_all.deb
Size: 835524
MD5sum: 7a8f274b3c5c2d7bb824fc42f564d9aa
SHA1: 9bd5359ae18bda1ee88cb880acf50534e6afcd1f
SHA256: 2ebd61acffaa8421208c48ad027589dd539ae3df8303f6c85e1e19162b4fc006
SHA512: b3ff9e0361ef229b843ac279f480d9635a09f63a12ab136acb720e9c5462417dd7655cf0dcad9dd0a6205ff4d0422f6eb62115d6591af69fb1ff68dde3b6aa70
Homepage: https://cran.r-project.org/package=AssocBin
Description: CRAN Package 'AssocBin' (Measuring Association with Recursive Binning)
 An iterative implementation of a recursive binary partitioning algorithm to
 measure pairwise dependence with a modular design that allows user
 specification of the splitting logic and stop criteria. Helper functions
 provide suggested versions of both and support visualization and the
 computation of summary statistics on final binnings. For a complete
 description of the functionality and algorithm, see Salahub and Oldford
 (2023) <doi:10.48550/arXiv.2311.08561>.

Package: r-cran-assocind
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-assocind_1.0.1-1.ca2004.1_all.deb
Size: 112876
MD5sum: f1a1da21554874abfbe536f359e2f48c
SHA1: 4c23003f4dde4d6507fad1fb32e4c822aa8b1210
SHA256: 3753f486a2443e0325752c9936ffe0e80ab1147f9434d70dbcec834ed2d1908f
SHA512: 5f9894747685322afb22ced1a9cfecdb3af90669f6b3146190c92dfe6f3e861458d907ef2b7d8479ee838aeb4a2e5b31bddb5ae27fae3d0ad46775fbb11d5b47
Homepage: https://cran.r-project.org/package=assocInd
Description: CRAN Package 'assocInd' (Implements New and Existing Association Indices for ConstructingAnimal Social Networks)
 Implements several new association indices that can control for various
 types of errors. Also includes existing association indices and functions
 for simulating the effects of different rates of error on estimates of
 association strength between individuals using each method.

Package: r-cran-assocshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-arules, r-cran-arulesviz, r-cran-shinymatrix, r-cran-plotly, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-assocshiny_0.1.0-1.ca2004.1_all.deb
Size: 70456
MD5sum: af313dca930693594c821a04208559fa
SHA1: b14551795736b9e1741763d7a3a496b6ffdaf4dc
SHA256: 209ffd48597b1b0c131e9e4fe270fc424c525efb925897e4732605188383300e
SHA512: 2b20cae9bb87598cb8452b73b9bcce1404d4e15fa30fdc47a4487452f95bc1164ef43d43b40062c37c20b498dcf5dac7040c446991342fb4321f3e0e23b4711b
Homepage: https://cran.r-project.org/package=ASSOCShiny
Description: CRAN Package 'ASSOCShiny' (Interactive Document for Working with Association Rule MiningAnalysis)
 An interactive document on the topic of association rule mining analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://kartikeyabolar.shinyapps.io/ASSOCShiny/>.

Package: r-cran-assoctests
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-mvtnorm, r-cran-combinat, r-cran-fextremes
Filename: pool/dists/focal/main/r-cran-assoctests_1.0-1-1.ca2004.1_all.deb
Size: 895236
MD5sum: 7f0495820fc6505fffc97486b806d6ce
SHA1: 3cdbc7fd6b679a9b8aa30f0c71977e5b7de0db7d
SHA256: 491a92eeb2e22a42cfe7e870136e2b38f2cf76f1886bbcf9f3a3f658d988a17e
SHA512: bfe2c2b3310c5ff1c4689ef6e134e2a36c5cead7690ec497c675a4173c8c4869438a14eae43db91fabd3bb7e1c8a10cc4543ce6cc7fcbd74f36050c77f74533e
Homepage: https://cran.r-project.org/package=AssocTests
Description: CRAN Package 'AssocTests' (Genetic Association Studies)
 Some procedures including EIGENSTRAT (a procedure for detecting and
 correcting for population stratification through searching for the
 eigenvectors in genetic association studies), PCoC (a procedure for
 correcting for population stratification through calculating the principal
 coordinates and the clustering of the subjects), Tracy-Widom test (a
 procedure for detecting the significant eigenvalues of a matrix), distance
 regression (a procedure for detecting the association between a distance
 matrix and some independent variants of interest), single-marker test (a
 procedure for identifying the association between the genotype at a
 biallelic marker and a trait using the Wald test or the Fisher's exact
 test), MAX3 (a procedure for testing for the association between a single
 nucleotide polymorphism and a binary phenotype using the maximum value of
 the three test statistics derived for the recessive, additive, and dominant
 models), nonparametric trend test (a procedure for testing for the
 association between a genetic variant and a non-normal distributed
 quantitative trait based on the nonparametric risk), and nonparametric MAX3
 (a procedure for testing for the association between a biallelic single
 nucleotide polymorphism and a quantitative trait using the maximum value of
 the three nonparametric trend tests derived for the recessive, additive, and
 dominant models), which are commonly used in genetic association studies. To
 cite this package in publications use: Lin Wang, Wei Zhang, and Qizhai Li.
 AssocTests: An R Package for Genetic Association Studies.  Journal of
 Statistical Software. 2020; 94(5): 1-26.

Package: r-cran-assortnet
Architecture: all
Version: 0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-assortnet_0.20-1.ca2004.1_all.deb
Size: 22880
MD5sum: 6bae6b116bb65db3702df019bf180d6f
SHA1: c27bceedc9699b8605cc38bc894272319d942f50
SHA256: 961bb524ef7c1daf6909f599046f7c1550827da20ae45bed9e67699b760274d8
SHA512: 63cf3d37427dbe0cd25bfb4a217b0e4ec83178d3997c3c3ace6f9ec695848764555c7baba222ae4ab9f50cbbdbb1e32570028f76585ebf266a121857dbfc41fb
Homepage: https://cran.r-project.org/package=assortnet
Description: CRAN Package 'assortnet' (Calculate the Assortativity Coefficient of Weighted and BinaryNetworks)
 Functions to calculate the assortment of vertices in social networks.  This
 can be measured on both weighted and binary networks, with discrete or
 continuous vertex values.

Package: r-cran-ast2ast
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2157
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcpp, r-cran-purrr, r-cran-r6, r-cran-rcpparmadillo, r-cran-dfdr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-tinytest, r-cran-microbenchmark, r-cran-ggplot2, r-cran-rcppxptrutils
Filename: pool/dists/focal/main/r-cran-ast2ast_0.3.2-1.ca2004.1_all.deb
Size: 602992
MD5sum: 71398a36144a85e6a7d159579a44ea4c
SHA1: 6e82de224662b58e9f5fe57436ddb46bfbc0c3e5
SHA256: 5a7a521c0c115a405ddf28caf88a424d571177f1b71356264aee318a62ca5612
SHA512: a7a198cd52440734fea351286e8f473233630c15b9a0e4bd7ddd434be343e8580c0eb49abcef8d8969beb92da306afd932c1860757fa2eecd871da125e445ab0
Homepage: https://cran.r-project.org/package=ast2ast
Description: CRAN Package 'ast2ast' (Translates an R Function to a C++ Function)
 Enable translation of a tiny subset of R to C++. The user has to define a R
 function which gets translated. For a full list of possible functions check
 the documentation. After translation an R function is returned which is a
 shallow wrapper around the C++ code. Alternatively an external pointer to
 the C++ function is returned to the user. The intention of the package is to
 generate fast functions which can be used as ode-system or during
 optimization.

Package: r-cran-ast
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ast_0.1.0-1.ca2004.1_all.deb
Size: 64780
MD5sum: 884c48e7653d2fb5b076df4d899fcfdb
SHA1: 8b9e47437094a7b433d6cb60ce65ad47405fc3c8
SHA256: 1650b21f579e29e9fd22c96cb0b2acc170b226fe7bd199ec9620d6b55198a073
SHA512: eb9acd0e3176c464bb13ee3e07e40a4a1e4357621e454912b8750fe3cb9af86fe917e63947833216147a1fa22fb698a6a8a739b5d0eb438ce1cbcf34b7af1739
Homepage: https://cran.r-project.org/package=AST
Description: CRAN Package 'AST' (Age-Spatial-Temporal Model)
 Fits a model to adjust and consider additional variations in three
 dimensions of age groups, time, and space on residuals excluded from a
 prediction model that have residual such as: linear regression, mixed model
 and so on. Details are given in Foreman et al. (2015)
 <doi:10.1186/1478-7954-10-1>.

Package: r-cran-asthmanhanes
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asthmanhanes_1.1.0-1.ca2004.1_all.deb
Size: 956888
MD5sum: 3622ca91ad10edd63f0723451ed54249
SHA1: 060bb0b3bb42f60f8d362977bdeb42ae286fcf2d
SHA256: 5344f928f13d735c89467288147c4bc7c0ded77622980db5a30a2cf4cf41feb0
SHA512: 9c650000ca5d9f9b5a5553024828fbfb1c09fc92f35f66a61574341df5e7d532a71afd95e69672b9b066b5193c02654a8fbaa2a8d07c749b8afe7021c5307993
Homepage: https://cran.r-project.org/package=AsthmaNHANES
Description: CRAN Package 'AsthmaNHANES' (Asthma Data Sets from NHANES)
 Data sets and examples from National Health and Nutritional Examination
 Survey (NHANES).

Package: r-cran-astrodatr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3463
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-astrodatr_0.1-1.ca2004.1_all.deb
Size: 3299732
MD5sum: 8172a643a2405bb574f3043284b8381b
SHA1: 95b46e62936d787f7fec9f41829efe0932cda1f4
SHA256: 7ff3807bbf263298fe95486709a4bb298cd50f767ba2508723673b74ab426dc8
SHA512: 75eead0e0df29290bf0d6dfa67f2c0a03c86c1281c8caabb8ec9874863fbb1307b05c5aade0cf40547aa095812eda67b2e317a1f08d921ef81220460a22b6fac
Homepage: https://cran.r-project.org/package=astrodatR
Description: CRAN Package 'astrodatR' (Astronomical Data)
 A collection of 19 datasets from contemporary astronomical research.  They
 are described the textbook `Modern Statistical Methods for Astronomy with R
 Applications' by Eric D. Feigelson and G. Jogesh Babu (Cambridge University
 Press, 2012, Appendix C) or on the website of Penn State's Center for
 Astrostatistics (http://astrostatistics.psu.edu/datasets).  These datasets
 can be used to exercise methodology involving: density estimation;
 heteroscedastic measurement errors; contingency tables; two-sample
 hypothesis tests; spatial point processes; nonlinear regression; mixture
 models; censoring and truncation; multivariate analysis; classification and
 clustering; inhomogeneous Poisson processes; periodic and stochastic time
 series analysis.

Package: r-cran-astrofns
Architecture: all
Version: 4.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-astrofns_4.2-1-1.ca2004.1_all.deb
Size: 68916
MD5sum: df755c9a96c08bbf3f42788df0453d7a
SHA1: dd76d1e7743fa60ddefd5ef0572ecc411440f4ee
SHA256: ea215170a961b81c0ed67585abf8367b0b7e7ca9c0372e1afe03ee611ac55459
SHA512: 80caefa7fb1c06857b4c61fdcd93c81a521cdb8355d280cc686a1ccb6158b2b5a035eef0b6d1d44e4be82a152c322301109e1b0842a8f5166aa58228fe1a832b
Homepage: https://cran.r-project.org/package=astroFns
Description: CRAN Package 'astroFns' (Astronomy: Time and Position Functions, Misc. Utilities)
 Miscellaneous astronomy functions, utilities, and data.

Package: r-cran-astrolibr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-astrolibr_0.1-1.ca2004.1_all.deb
Size: 570572
MD5sum: f59371e8d573013a74704ed007c95d9c
SHA1: ba6bc90f38d668d700485f9ea97700b72e9bbc34
SHA256: 327e81363789f876bd7418aea1da566328abd2c0fe935d2c6d41a772e0d03e66
SHA512: 2e5a4a11cc73445580cf76d76fa00f53208d38d9479286d823c14f66b6d6e952bbdee4e555a9ffddd2162d456219994008e415bf85cd7115bff3a431450ce3ec
Homepage: https://cran.r-project.org/package=astrolibR
Description: CRAN Package 'astrolibR' (Astronomy Users Library)
 Several dozen low-level utilities and codes from the Interactive Data
 Language (IDL) Astronomy Users Library (http://idlastro.gsfc.nasa.gov) are
 implemented in R.  They treat: time, coordinate and proper motion
 transformations; terrestrial precession and nutation, atmospheric refraction
 and aberration, barycentric corrections, and related effects; utilities for
 astrometry, photometry, and spectroscopy; and utilities for planetary,
 stellar, Galactic, and extragalactic science.

Package: r-cran-astsa
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1343
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-astsa_2.2-1.ca2004.1_all.deb
Size: 1298128
MD5sum: fc8ae882601822dd22f8d2a265bc3fe6
SHA1: a30a68873853aad5d400d716532fb8ceaf2aa9d5
SHA256: 669f88887df225504da86f9cc05a509ea30bd3757fff749b796adcdf16d61863
SHA512: 707c132fb9e4fd606241da247151d213ad924de92c69c59feecb17f7e8f6041abfc3db13fa786c713274d5192e09b50d960366018d1959a5cc985a69abe5e4a6
Homepage: https://cran.r-project.org/package=astsa
Description: CRAN Package 'astsa' (Applied Statistical Time Series Analysis)
 Contains data sets and scripts for analyzing time series in both the
 frequency and time domains including state space modeling as well as
 supporting the texts Time Series Analysis and Its Applications: With R
 Examples (5th ed), by R.H. Shumway and D.S. Stoffer. Springer Texts in
 Statistics, 2025, <https://link.springer.com/book/9783031705830>, and Time
 Series: A Data Analysis Approach Using R. Chapman-Hall, 2019,
 <DOI:10.1201/9780429273285>.

Package: r-cran-asus
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wavethresh
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-asus_1.5.0-1.ca2004.1_all.deb
Size: 60648
MD5sum: 20ec3f18ca9518edc623ae8bcd8bb2cf
SHA1: d0b69c4f1b2f52fc30f328cd77d2b91a43a90545
SHA256: 9339f13c25cceae227a0cb14971180c529d871134c129be1222b587a7246aa38
SHA512: 02945531131675e82b4b9cd9d295d8ecf599b054692c551c1dc9e98df0c4964dc000a1f6a5185fa577ca506884315d29e591decd2b1bd0456df7cef1923f8bf0
Homepage: https://cran.r-project.org/package=asus
Description: CRAN Package 'asus' (Adaptive SURE Thresholding Using Side Information)
 Provides the ASUS procedure for estimating a high dimensional sparse
 parameter in the presence of auxiliary data that encode side information on
 sparsity. It is a robust data combination procedure in the sense that even
 when pooling non-informative auxiliary data ASUS would be at least as
 efficient as competing soft thresholding based methods that do not use
 auxiliary data.  For more information, please see the paper Adaptive Sparse
 Estimation with Side Information by Banerjee, Mukherjee and Sun (JASA 2020).

Package: r-cran-asvpc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr
Suggests: r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-asvpc_1.0.2-1.ca2004.1_all.deb
Size: 112004
MD5sum: 4132959e41a9bf1339eb04febd3d453f
SHA1: df9230c0f90364344819dd707a90685f36e63948
SHA256: 96c3febcc1deb92d5d665b3bb473fce370aa72226fcd2282cfd5492aa413bdff
SHA512: 30219af1e28fffa570d03f1344309b23a0d70370d63433e02be6f4d1752279113c9216ed9e043de7c82c1543a9df9541dcbd53c6c83b6dfffc505dbeeea9d48d
Homepage: https://cran.r-project.org/package=asVPC
Description: CRAN Package 'asVPC' (Average Shifted Visual Predictive Checks)
 The visual predictive checks are well-known method to validate the nonlinear
 mixed effect model, especially in pharmacometrics area.  The average shifted
 visual predictive checks are the newly developed method of Visual predictive
 checks combined with the idea of the average shifted histogram.

Package: r-cran-asyk
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asyk_1.5.6-1.ca2004.1_all.deb
Size: 32032
MD5sum: f41fcd9bc479794c5a16a702f913ea7d
SHA1: fd08531b6dbbf821d0739b4c1b477e636de113d4
SHA256: fa30786b9f828a1174be9123adc71311b67fa71fb1b8a7cbd31a2428cf4bfbd2
SHA512: 1542cfe16db8c95c01ad282cd2afb5767a75479f994e9fc3386f01c46640a17d03f754bf79615556b653255b3ea967fee0eba2eb7005b06ee6e7592b771e299e
Homepage: https://cran.r-project.org/package=AsyK
Description: CRAN Package 'AsyK' (Kernel Density Estimation)
 A collection of functions related to density estimation by using Chen's
 (2000) idea. Mean Squared Errors (MSE) are calculated for estimated curves.
 For this purpose, R functions allow the distribution to be Gamma,
 Exponential or Weibull. For details see Chen (2000), Scaillet (2004)
 <doi:10.1080/10485250310001624819> and Khan and Akbar.

Package: r-cran-asylum
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4453
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asylum_1.1.2-1.ca2004.1_all.deb
Size: 3858832
MD5sum: 83a43a8b3e08da15bf45c268857c8308
SHA1: 787a02ab8ebdefa61b7bb6ec3046d3973ef08f79
SHA256: f69052cf7d58bc35728822c6f0de18f2262567c27c0dd49b0f3f33357ed3e34d
SHA512: faf9bc7285a7ccf0349fa756ffbe0983b2f52993398edfdf7224c6b9f6283f4a20156927233bc5c6328d4af733fd82939883bd656e0d227cbd9dc5047ce970f1
Homepage: https://cran.r-project.org/package=asylum
Description: CRAN Package 'asylum' (Data on Asylum and Resettlement for the UK)
 Data on Asylum and Resettlement for the UK, provided by the Home Office
 <https://www.gov.uk/government/statistical-data-sets/immigration-system-statistics-data-tables>.

Package: r-cran-asymld
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-haplo.stats, r-cran-fields
Filename: pool/dists/focal/main/r-cran-asymld_0.1-1.ca2004.1_all.deb
Size: 51228
MD5sum: 42082d43f5f3ff88a819362ec9ab3ec3
SHA1: c48d2a8227e92d906a6a133d1fde14f6766a235a
SHA256: 79077eddaf8df3dc5e5c4c24c4fdc1d28ad4e950d654e5a0c5fc3e7c1138c1af
SHA512: 9e4ecc1eff9ad21fc39bf7b706593f0affdee0ba2e0bbda8dea8d0eb0a5aef16bb68cde71aad5087594ef9832796161d021ab9320604986ed84d5237918ffcf4
Homepage: https://cran.r-project.org/package=asymLD
Description: CRAN Package 'asymLD' (Asymmetric Linkage Disequilibrium (ALD) for Polymorphic GeneticData)
 Computes asymmetric LD measures (ALD) for multi-allelic genetic data. These
 measures are identical to the correlation measure (r) for bi-allelic data.

Package: r-cran-asymmetricsords
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asymmetricsords_1.0.0-1.ca2004.1_all.deb
Size: 151536
MD5sum: 8563970024fa2578198c5423cadbd45b
SHA1: 2ec1fb239696906cf91b7fbdec7d07280ab2759b
SHA256: b054fe6331b9d1e6355b5f93257f1f56a7415d0b02a15afbfe16b92231afe1dd
SHA512: 7c3b0f77edf345bd01a35060f87a5d758b9f1db9b1305d3aac61d3cca01ed541ab1858f18abd097425f877f33eb880c81dbfe1b063d6444a7c303983b0261048
Homepage: https://cran.r-project.org/package=AsymmetricSORDs
Description: CRAN Package 'AsymmetricSORDs' (Asymmetric Second Order Rotatable Designs (AsymmetricSORDs))
 Response surface designs (RSDs) are widely used for Response Surface
 Methodology (RSM) based optimization studies, which aid in exploring the
 relationship between a group of explanatory variables and one or more
 response variable(s) (G.E.P. Box and K.B. Wilson (1951), "On the
 experimental attainment of optimum conditions" ; M. Hemavathi, Shashi
 Shekhar, Eldho Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal
 (2022) <DOI: 10.1080/03610926.2021.1944213>."Theoretical developments in
 response surface designs: an informative review and further thoughts".).
 Second order rotatable designs are the most prominent and popular class of
 designs used for process and product optimization trials but it is suitable
 for situations when all the number of levels for each factor is the same. In
 many practical situations, RSDs with asymmetric levels (J.S. Mehta and M.N.
 Das (1968). "Asymmetric rotatable designs and orthogonal transformations" ;
 M. Hemavathi, Eldho Varghese, Shashi Shekhar & Seema Jaggi (2020) <DOI:
 10.1080/02664763.2020.1864817>. "Sequential asymmetric third order rotatable
 designs (SATORDs)" .) are more suitable as these designs explore more
 regions in the design space.This package contains functions named Asords()
 ,CCD_coded(), CCD_original(), SORD_coded() and SORD_original() for
 generating asymmetric/symmetric RSDs along with the randomized layout. It
 also contains another function named Pred.var() for generating the variance
 of predicted response as well as the moment matrix based on a second order
 model.

Package: r-cran-asymmetry.measures
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-skewt, r-cran-gamlss.dist
Filename: pool/dists/focal/main/r-cran-asymmetry.measures_0.2-1.ca2004.1_all.deb
Size: 140048
MD5sum: 84da508042e7ffd0071e9226d474c2d6
SHA1: 70c4cb98f0045b47fbc34ef8d8a45572f7ba13f7
SHA256: 88e471e4762f091ec39ec44968a8f9fb6d06bc7a489bf5c19b3880c47c188034
SHA512: 5b58564c74ee92e26ffd5c4a28058a0dd6cd64cf2424e26483b4e7b6b017f06fc4136627db5d35823c70b27f5c3ceb95b03f2b82feadb10c6368af76c41633ab
Homepage: https://cran.r-project.org/package=asymmetry.measures
Description: CRAN Package 'asymmetry.measures' (Asymmetry Measures for Probability Density Functions)
 Provides functions and examples for the weak and strong density asymmetry
 measures in the articles: "A measure of asymmetry", Patil, Patil and
 Bagkavos (2012) <doi:10.1007/s00362-011-0401-6> and "A measure of asymmetry
 based on a new necessary and sufficient condition for symmetry", Patil,
 Bagkavos and Wood (2014) <doi:10.1007/s13171-013-0034-z>. The measures
 provided here are useful for quantifying the asymmetry of the shape of a
 density of a random variable. The package facilitates implementation of the
 measures which are applicable in a variety of fields including e.g.
 probability theory, statistics and economics.

Package: r-cran-asymmetry
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gplots, r-cran-smacof
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-asymmetry_2.0.4-1.ca2004.1_all.deb
Size: 163920
MD5sum: dfaea336e1b2c07258efa8afd364c3b0
SHA1: 89e744b63ba31b13f833403650dc34eba110150a
SHA256: b40e158019dcc705a48a784bdf7d2ba5da9b7e471534c0c37e3a5b2411cda18f
SHA512: d62bfce7390b45c52a56b828d2837830b422fe58bb97dbc0273c425aaa98a5713730fab48c4932574ada410153690bde34fd610d2ecde7f2bce588c36f00f285
Homepage: https://cran.r-project.org/package=asymmetry
Description: CRAN Package 'asymmetry' (Multidimensional Scaling of Asymmetric Proximities)
 Multidimensional scaling models and methods for the visualization and
 analysis of asymmetric proximity data
 <doi:10.1111/j.2044-8317.1996.tb01078.x>. An asymmetric data matrix has the
 same number of rows and columns, and these rows and columns refer to the
 same set of objects. At least some elements in the upper-triangle are
 different from the corresponding elements in the lower triangle. An example
 of an asymmetric matrix is a student migration table, where the rows
 correspond to the countries of origin of the students and the columns to the
 destination countries. This package provides algorithms for three
 multidimensional scaling models. These are the slide-vector model
 <doi:10.1007/BF02294474>, a scaling model with unique dimensions and the
 asymscal model for asymmetric multidimensional scaling. Furthermore, a heat
 map for skew-symmetric data, and the decomposition of asymmetry are provided
 for the exploratory analysis of asymmetric tables.

Package: r-cran-asympdiag
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli
Suggests: r-cran-glmmtmb, r-cran-lme4, r-cran-mass, r-cran-matrix, r-cran-rlang, r-cran-sandwich, r-cran-survival, r-cran-testthat, r-cran-vctrs, r-cran-withr
Filename: pool/dists/focal/main/r-cran-asympdiag_0.3.1-1.ca2004.1_all.deb
Size: 104360
MD5sum: a0a20d9c12c4c1e0a63db15f55c31bda
SHA1: 97c087a99f51d669d5d436077fb47e799780cd84
SHA256: 5658b9959c0caaa0b9edb0a53f99b8ccd696c8866d7cb352c185d05f3544009d
SHA512: 1cdd0be189ce7c632517d9b2a75444c5975b5c8d0fd394e3f8f891511ba008733ebe631f34196a439e99690990283a5b6623d059cbbed33349a2266d99c62a63
Homepage: https://cran.r-project.org/package=asympDiag
Description: CRAN Package 'asympDiag' (Diagnostic Tools for Asymptotic Theory)
 Leveraging Monte Carlo simulations, this package provides tools for
 diagnosing regression models. It implements a parametric bootstrap framework
 to compute statistics, generates diagnostic envelopes to assess
 goodness-of-fit, and evaluates type I error control for Wald tests. By
 simulating data under the assumption that the model is true, it helps to
 identify model mis-specifications and enhances the reliability of the model
 inferences.

Package: r-cran-asymptest
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asymptest_0.1.4-1.ca2004.1_all.deb
Size: 347976
MD5sum: e29d86f6a15aeac9b2eab45590c7fe2f
SHA1: d84c23bdfbef1ccdafbbec15eab9a0a26e65dcbf
SHA256: 7e5083868465a155fd4e778743e8b995ef576b6e92cada1dc0d23b92514b5d7d
SHA512: 7fc259ae5246ce4655f862afe45634d1754395aa03e5530a236040f947f29ab7554f24fe72b1025f4eea5acfab35236509808fdd2d1ae4e8d72258018e463e49
Homepage: https://cran.r-project.org/package=asympTest
Description: CRAN Package 'asympTest' (A Simple R Package for Classical Parametric Statistical Testsand Confidence Intervals in Large Samples)
 One and two sample mean and variance tests (differences and ratios) are
 considered.  The test statistics are all expressed in the same form as the
 Student t-test, which facilitates their presentation in the classroom. This
 contribution also fills the gap of a robust (to non-normality) alternative
 to the chi-square single variance test for large samples, since no such
 procedure is implemented in standard statistical software.

Package: r-cran-asymptor
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-asymptor_1.1.0-1.ca2004.1_all.deb
Size: 133236
MD5sum: e36de09694b10d65465bbb0ad8a2ba6e
SHA1: 7eefbb536f3da505b91e36526afc02f8c92c3e7a
SHA256: 35202233118ae285cf52339eda9a09b1cf25bb88d6792e52283c435984d76e19
SHA512: 1d20f9bb1515ed55fcc08431a5a044a5c13da312925de3c97eed49451d29dd1403b62d061c2f415200de0ac56e03fb0bc999d7fccb8e91a38a208ef799d3300e
Homepage: https://cran.r-project.org/package=asymptor
Description: CRAN Package 'asymptor' (Estimate Asymptomatic Cases via Capture/Recapture Methods)
 Estimate the lower and upper bound of asymptomatic cases in an epidemic
 using the capture/recapture methods from Böhning et al. (2020)
 <doi:10.1016/j.ijid.2020.06.009> and Rocchetti et al. (2020)
 <doi:10.1101/2020.07.14.20153445>. Note there is currently some discussion
 about the validity of the methods implemented in this package. You should
 read carefully the original articles, alongside this answer from Li et al.
 (2022) <doi:10.48550/arXiv.2209.11334> before using this package in your
 project.

Package: r-cran-async
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-iterors, r-cran-nseval, r-cran-later, r-cran-promises, r-cran-testthat, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dplyr, r-cran-curl, r-cran-audio, r-cran-profvis, r-cran-ggplot2, r-cran-xml
Filename: pool/dists/focal/main/r-cran-async_0.3.2-1.ca2004.1_all.deb
Size: 400032
MD5sum: 6d7816d94a342bcd49ce8a80283e860e
SHA1: 5ecfff0753fe6a6c49e7af9e40ada92b249d5399
SHA256: 8a48ce8804a37151618c78a58b6015181a6c0424ece0f83b684e9182d3d474c8
SHA512: 2a5cff23e66755d497bee89fa0135096b5b21e22e99008998387fef60cbbe481ab8e883a7944384e5aefd03114bf9b3dce7adae772270bfb1c2901fc48cbb88b
Homepage: https://cran.r-project.org/package=async
Description: CRAN Package 'async' (Coroutines: Generators / Yield, Async / Await, and Streams)
 Write sequential-looking code that pauses and resumes.  gen() creates a
 generator, an iterator that returns a value and pauses each time it reaches
 a yield() call.  async() creates a promise, which runs until it reaches a
 call to await(), then resumes when information is available.  These work
 similarly to generator and async constructs from 'Python' or 'JavaScript'.
 Objects produced are compatible with the 'iterators' and 'promises'
 packages.  Version 0.3 supports on.exit, single-step debugging, stream() for
 making asynchronous iterators, and delimited goto() in switch() calls.

Package: r-cran-asynchlong
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asynchlong_2.4-1.ca2004.1_all.deb
Size: 258848
MD5sum: e1db35a8794aa8738b768e0803f16eec
SHA1: 6971f7356c8f080e71b5ea623af39087001fd087
SHA256: 39091c0ed17ddd32e9a9a6d02ea2fd330f5b0b42d1e0dadc4101dd386d504e7a
SHA512: 6f1edc121cb6d014daad1befd9d71e47981eb37050d2cfdf0aaec155d085d84ca42b1ab74a0b231cca213a8806dfa856a731e1cc967d92ba25b0a6459096ffc1
Homepage: https://cran.r-project.org/package=AsynchLong
Description: CRAN Package 'AsynchLong' (Regression Analysis of Sparse Asynchronous Longitudinal Data)
 Estimation of regression models for sparse asynchronous longitudinal
 observations, where time-dependent response and covariates are mismatched
 and observed intermittently within subjects. Kernel weighted estimating
 equations are used for generalized linear models with either time-invariant
 or time-dependent coefficients. Cao, H., Li, J., and Fine, J. P. (2016)
 <doi:10.1214/16-EJS1141>. Cao, H., Zeng, D., and Fine, J. P. (2015)
 <doi:10.1111/rssb.12086>.

Package: r-cran-asypow
Architecture: all
Version: 2015.6.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-asypow_2015.6.25-1.ca2004.1_all.deb
Size: 315648
MD5sum: bce0575857940fb6dd3690a00580e0c8
SHA1: 2133d554236c38983a2d99bd50a0dd5f19d01a35
SHA256: e320e952650db067c5fb99ba1dc0504f953922dde07b527db8f347fb6eb5e001
SHA512: 2cebf1fb509df486af4854c1e6e0db722a3b2c957abd66550cbc56b75dfd3f210e5d46c3b61245a4db3c5d66dfb1d00ee93d7b9ec7e536d496fd2618f3f02dd9
Homepage: https://cran.r-project.org/package=asypow
Description: CRAN Package 'asypow' (Calculate Power Utilizing Asymptotic Likelihood Ratio Methods)
 A set of routines written in the S language that calculate power and related
 quantities utilizing asymptotic likelihood ratio methods.

Package: r-cran-ata
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-ata_1.1.1-1.ca2004.1_all.deb
Size: 187680
MD5sum: 1b69020140f85278a21555ea12031460
SHA1: 02e746cb0a26767714933558012dc05a3e08f1ac
SHA256: 1885110fdadfa4c5e303c3c0388896c2d81c8b348132cb543bb454b6110afe49
SHA512: 30ac634a46b8c6c44fdfad9ca9bd799c9e80051dbfe519eb9ffbc9915792774a78e3350dbca04463157835d0c4a8c6c929d0f56c9f7b1dc60bf597d97a1c3cce
Homepage: https://cran.r-project.org/package=ata
Description: CRAN Package 'ata' (Automated Test Assembly)
 Provides a collection of psychometric methods to process item metadata and
 use target assessment and measurement blueprint constraints to assemble a
 test form. Currently two automatic test assembly (ata) approaches are
 enabled. For example, the weighted (positive) deviations method, wdm(),
 proposed by Swanson and Stocking (1993) <doi:10.1177/014662169301700205> was
 implemented in its full specification allowing for both item selection as
 well as test form refinement. The linear constraint programming approach,
 atalp(), uses the linear equation solver by Berkelaar et. al (2014)
 <http://lpsolve.sourceforge.net/5.5/> to enable a variety of approaches to
 select items.

Package: r-cran-atable
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 839
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doby, r-cran-plyr, r-cran-reshape2, r-cran-hmisc, r-cran-settings, r-cran-desctools, r-cran-effsize
Suggests: r-cran-testthat, r-cran-knitr, r-cran-survival, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-atable_0.1.15-1.ca2004.1_all.deb
Size: 673420
MD5sum: 81e86d7f62f76d4bab4d577b64770248
SHA1: aa4d9bd3d8af929aa2c392e4b7c950a344b83e9f
SHA256: dac64d58ced63379aab248412262b5ab04743b1dc190a7395cc8ac204cf809c8
SHA512: 8b9b111034c7bb6f1dce52ea2b158401c9cea7bb4cdd18531cf7d7b416d7f53ec08972757dc2b92bb5cd6b269267883ab5fad1ff84dd67f9b547156bc862a2a9
Homepage: https://cran.r-project.org/package=atable
Description: CRAN Package 'atable' (Create Tables for Reporting Clinical Trials)
 Create Tables for Reporting Clinical Trials.  Calculates descriptive
 statistics and hypothesis tests, arranges the results in a table ready for
 reporting with LaTeX, HTML or Word.

Package: r-cran-atbounds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 739
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-atbounds_0.1.0-1.ca2004.1_all.deb
Size: 682540
MD5sum: 818cf4daeeeabffde09454d967349c48
SHA1: e0619879bb144cbb9937cffbd81a6efdd1267274
SHA256: 7749922bb7eb2fddd99d8985e1cd800a07188f26d9d10c3275cf181d43041c64
SHA512: 192468f1b1b34cb3cb7d9dec81246c7b35fc68efd7233f88ff648c13d3f2449bdffface6a8d4c34159e4fb18758bc79de3491bbb458450db890d2b6a241cf8e1
Homepage: https://cran.r-project.org/package=ATbounds
Description: CRAN Package 'ATbounds' (Bounding Treatment Effects by Limited Information Pooling)
 Estimation and inference methods for bounding average treatment effects (on
 the treated) that are valid under an unconfoundedness assumption.  The
 bounds are designed to be robust in challenging situations, for example,
 when the conditioning variables take on a large number of different values
 in the observed sample, or when the overlap condition is violated.  This
 robustness is achieved by only using limited "pooling" of information across
 observations.  For more details, see the paper by Lee and Weidner (2021),
 "Bounding Treatment Effects by Pooling Limited Information across
 Observations," <arXiv:2111.05243>.

Package: r-cran-ate.error
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-mvtnorm, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ate.error_1.0.0-1.ca2004.1_all.deb
Size: 231540
MD5sum: 3b86eb95ed986725f4d0928929bd8c36
SHA1: 1656dd676af83bc1cb37c451afd8e825ca968826
SHA256: 51411a46d16f215a54d1d8604f6de05c71929417bf2cc25c1e238bef12098643
SHA512: b2f6e107effbd004431c8aac1b3dede9f588eefa53b1cf2ed99490285b152606c9621dd9c827a3c44025d7cfdd3d25f2e24c34bde469229d215998eb557f05fc
Homepage: https://cran.r-project.org/package=ATE.ERROR
Description: CRAN Package 'ATE.ERROR' (Estimating ATE with Misclassified Outcomes and MismeasuredCovariates)
 Addressing measurement error in covariates and misclassification in binary
 outcome variables within causal inference, the 'ATE.ERROR' package
 implements inverse probability weighted estimation methods proposed by Shu
 and Yi (2017, <doi:10.1177/0962280217743777>; 2019, <doi:10.1002/sim.8073>).
 These methods correct errors to accurately estimate average treatment
 effects (ATE). The package includes two main functions: ATE.ERROR.Y() for
 handling misclassification in the outcome variable and ATE.ERROR.XY() for
 correcting both outcome misclassification and covariate measurement error.
 It employs logistic regression for treatment assignment and uses bootstrap
 sampling to calculate standard errors and confidence intervals, with
 simulated datasets provided for practical demonstration.

Package: r-cran-ate
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ate_0.2.0-1.ca2004.1_all.deb
Size: 104568
MD5sum: f442733ee0b8c3ed2efe0ed7ca7064fd
SHA1: b2f35af9d1f36fdeeecc2647fe9e2d22a679308a
SHA256: 43280db65948cd6dd951e840e35654676f2911f9971c1c2a84996b8bace20181
SHA512: a9ca7ef3a5157d9f7be0dbdbbcf0f4aead91a942fe134d3e4544db01b8cd697b37df9cc6e076404fa260fe554bdee7bc1d501ccc30a0cc41aee9a0a7cb025acb
Homepage: https://cran.r-project.org/package=ATE
Description: CRAN Package 'ATE' (Inference for Average Treatment Effects using CovariateBalancing)
 Nonparametric estimation and inference for average treatment effects based
 on covariate balancing.

Package: r-cran-athlytics
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-rstrava, r-cran-tidyr, r-cran-viridis, r-cran-zoo
Suggests: r-cran-devtools, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-athlytics_0.1.2-1.ca2004.1_all.deb
Size: 161468
MD5sum: f03f77db9cdb69f5ec4f91cbfbb5ec6a
SHA1: 3468d46475b19c767005ca5730836f7a25b46ac6
SHA256: 9b6d707e85f7bf520ef4543ca3dce117e6c3b43e90624c19de52356c0057f568
SHA512: f2f2ee45e537f0a2385d8a89a342734def46ab4a94405cca12619957dfaf6fd3d1140e622a4196ddb53735f9aa62504822f4734d13d6033cb996efa37ed05b65
Homepage: https://cran.r-project.org/package=Athlytics
Description: CRAN Package 'Athlytics' (Advanced Sports Performance Analysis for 'Strava' Data)
 Advanced sports performance analysis and modeling for activity data
 retrieved from 'Strava'. This package focuses on applying established sports
 science models and statistical methods to gain deeper insights into training
 load, performance prediction, recovery status, and identifying key
 performance factors, extending basic data analysis capabilities.

Package: r-cran-atime
Architecture: all
Version: 2025.5.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-bench, r-cran-lattice, r-cran-git2r
Suggests: r-cran-directlabels, r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-stringi, r-cran-re2, r-cran-binsegrcpp, r-cran-grates, r-cran-fastymd, r-cran-wbs, r-cran-fpop, r-cran-changepoint, r-cran-lopart, r-cran-cumstats, r-cran-peaksegdisk, r-cran-callr, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-nc, r-cran-rcolorbrewer, r-cran-tibble, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-atime_2025.5.24-1.ca2004.1_all.deb
Size: 354428
MD5sum: 6b88c30d7596ccde5be6f581390e029b
SHA1: d7a5bba51031a77bdd56349c879f28cbca42ea5d
SHA256: 54b2fb09f4fb30ceac76a82cc8f1270fa302bf8743807ccec5e931657ca61beb
SHA512: f23afc068dc7355796492310dd4a9917d7377cef57ab538827ac828693504326ae82eadff50da45bdb8a1288d3375d4ee5e77579b8662bcf6f74bb03ee8a76b3
Homepage: https://cran.r-project.org/package=atime
Description: CRAN Package 'atime' (Asymptotic Timing)
 Computing and visualizing comparative asymptotic timings of different
 algorithms and code versions.  Also includes functionality for comparing
 empirical timings with expected references such as linear or quadratic,
 <https://en.wikipedia.org/wiki/Asymptotic_computational_complexity> Also
 includes functionality for measuring asymptotic memory and other quantities.

Package: r-cran-atlas
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-atlas_1.0.0-1.ca2004.1_all.deb
Size: 24772
MD5sum: f48d63a8db026a2b294e7d88f7b5eb4d
SHA1: 0149be3a70442b29b81ab29238aa5d8b68aceac7
SHA256: 80c46e2c16a5b3a093e35a29e2941b121d0d7650aa92e9273e2d511d4c12bc27
SHA512: b8be899bb7136cf4f5e47528a2f5c07d94866e44733cd6044123180020224b200848eeb1bc694973015429c52109926ea1e4db071ae1cda27f264b8e114ad635
Homepage: https://cran.r-project.org/package=atlas
Description: CRAN Package 'atlas' (Stanford 'ATLAS' Search Engine API)
 Stanford 'ATLAS' (Advanced Temporal Search Engine) is a powerful tool that
 allows constructing cohorts of patients extremely quickly and efficiently.
 This package is designed to interface directly with an instance of 'ATLAS'
 search engine and facilitates API queries and data dumps. Prerequisite is a
 good knowledge of the temporal language to be able to efficiently construct
 a query.  More information available at
 <https://shahlab.stanford.edu/start>.

Package: r-cran-atlasapprox
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-atlasapprox_0.1.0-1.ca2004.1_all.deb
Size: 49632
MD5sum: b6e922ffd590f9008ee235c5ae2ce537
SHA1: ae9852f5e088ceac9ab02d79e76a5b70fe926b20
SHA256: 5630926073f426c45be8d08d6698bc97eacfc736b0ca69717c6c062c870289dc
SHA512: 292097cd7ad0cc2a6ed077fec85e68ded418afa5f0c69e97c082e4f2997bd7fdfccd746ea942f439ee682d0ccab9952aded297032aa33fc63fd2fff799518743
Homepage: https://cran.r-project.org/package=atlasapprox
Description: CRAN Package 'atlasapprox' (Cell Atlas Approximations)
 Provides an interface in R to cell atlas approximations. See the vignette
 under "Getting started" for instructions. You can also explore the reference
 documentation for specific functions. Additional interfaces and resources
 are available at <https://atlasapprox.readthedocs.io>.

Package: r-cran-atlasmaker
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3201
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-leaflet, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-atlasmaker_0.1.0-1.ca2004.1_all.deb
Size: 3182056
MD5sum: 743202fbc9d86548bb850d3e33b72a7c
SHA1: 5fc4fabb091260a327b3c467e19f03a5f49b22b9
SHA256: 55ca314643b43f62127da2deba0a3042325feb7aa4f1c495de5e691ffa612dfe
SHA512: 1f300e78a1c6ab62cc6de8120ba7e92bcdf5ade66e8815c924f54a11ab19e2128c069fef1d70166bf0c4f3fb37393282c3521ea7b05fd3383c56c730b5d7b4f8
Homepage: https://cran.r-project.org/package=AtlasMaker
Description: CRAN Package 'AtlasMaker' (Make Multiple 'leaflet' Maps in 'Shiny')
 Simplify creating multiple, related 'leaflet' maps across tabs for a 'shiny'
 application. Users build lists of any polygons, points, and polylines needed
 for the project, use the map_server() function to assign built lists and
 other chosen aesthetics into each tab, and the package leverages modules to
 generate all map tabs.

Package: r-cran-atmchile
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 544
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-plotly, r-cran-shiny, r-cran-openair, r-cran-lubridate, r-cran-shinycssloaders, r-cran-dt
Filename: pool/dists/focal/main/r-cran-atmchile_1.0.4-1.ca2004.1_all.deb
Size: 389428
MD5sum: 27b66d057b6c85e7e27400b89573a5a6
SHA1: 97f867a3b69309ca9524440964c912f953f82cd7
SHA256: 654848f54fa35a4294b059c3f9dd7d17efb53af542d3046ddbf94d7fd9c9912c
SHA512: 1679f554cbd4771989a1d07571c2ddf89970ddc11246e1615c1710fa2d2fc9c763dd71605cec65335bb73b11de98602e5b23fa1852217c71e623509ea2a37c58
Homepage: https://cran.r-project.org/package=AtmChile
Description: CRAN Package 'AtmChile' (Download Air Quality and Meteorological Information of Chile)
 Download air quality and meteorological information of Chile from the
 National Air Quality System (S.I.N.C.A.)<https://sinca.mma.gob.cl/>
 dependent on the Ministry of the Environment and the Meteorological
 Directorate of Chile (D.M.C.)<https://www.meteochile.gob.cl/> dependent on
 the Directorate General of Civil Aeronautics.

Package: r-cran-atmcmc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-atmcmc_1.0-1.ca2004.1_all.deb
Size: 94852
MD5sum: 5891e092e1f0a3bef33fa0fa4b054ad9
SHA1: 918b5fd24333cab452d5bfe8ce9279601e48d927
SHA256: 4849a73bfde288c9a3e5f2a817eb06e42f84df98ad0abfcba5149a139a34f844
SHA512: f64a2233d65c63f8aab9bce1e425874a732b01e46f1cc21d9c893aa6eb32286715c664742db67c4d2c527f098b48491a1f2c0619048cba1897215deeaa3e3dc3
Homepage: https://cran.r-project.org/package=atmcmc
Description: CRAN Package 'atmcmc' (Automatically Tuned Markov Chain Monte Carlo)
 Uses adaptive diagnostics to tune and run a random walk Metropolis MCMC
 algorithm, to converge to a specified target distribution and estimate means
 of functionals.

Package: r-cran-atmet
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dicedesign, r-cran-lhs, r-cran-metrology, r-cran-msm, r-cran-sensitivity
Filename: pool/dists/focal/main/r-cran-atmet_1.2.1-1.ca2004.1_all.deb
Size: 42012
MD5sum: 714e89ddc1054f1bf81ba516f4153519
SHA1: 93563ffd47823ec98dde13b8c09bb3a9f321c988
SHA256: 47805f1d13705cdeeb0b21d6e2e33547458b6a87020190637dc44d0a09791b8e
SHA512: 5de0ef8c9378ce00b1970d07618d6e81c05f9f70fd3899870722d484a8a2623221bd737f219f2105f5010bfa7b75c85da79300d9770bdb6d035fd5a316ee8e7f
Homepage: https://cran.r-project.org/package=ATmet
Description: CRAN Package 'ATmet' (Advanced Tools for Metrology)
 A collection of functions for smart sampling and sensitivity analysis for
 metrology applications, including computationally expensive problems.

Package: r-cran-atmopt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doe.base, r-cran-hiernet, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-atmopt_0.1.0-1.ca2004.1_all.deb
Size: 52896
MD5sum: 65dc4e7fa2aa3bf29bad8b1b937f2d9e
SHA1: 0b52cae2ccb6f4655cc993ca69ff179f76c69348
SHA256: 0072f0163378812dc4be9f91ac6f898e5c57818b9687249c0a8ef3cb7bdd3718
SHA512: be3baf8e29d2a77e414cc2d839c236ac95ad88b2d1552a22ac600d3c6e78f72b9821ab3d0028b834577a1a80dbaa038a103d70e6cd4f0ce6e3705d2fe4a163a3
Homepage: https://cran.r-project.org/package=atmopt
Description: CRAN Package 'atmopt' (Analysis-of-Marginal-Tail-Means)
 Provides functions for implementing the Analysis-of-marginal-Tail-Means
 (ATM) method, a robust optimization method for discrete black-box
 optimization. Technical details can be found in Mak and Wu (2018+)
 <arXiv:1712.03589>. This work was supported by USARO grant W911NF-17-1-0007.

Package: r-cran-atom4r
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2885
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-jsonlite, r-cran-readr, r-cran-xml, r-cran-httr, r-cran-zip, r-cran-rdflib, r-cran-keyring
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-atom4r_0.3-3-1.ca2004.1_all.deb
Size: 1387076
MD5sum: 02a1f8b40a102754e30939e7afe4125d
SHA1: de60b908990f3c3a4abf53d727435f3c54b21b16
SHA256: f946fbdbad524ced7fd9b27969d9dad3e359eda733208816a51871f4f2362246
SHA512: 1f972b635a152b9049d332df8fd7415b7fb57815bfb1e917b07aaddeabb655693fb885a9da4c2c1057f530dacb2c9ee7e14a9c49f66cdc543f34d1a511e38c7b
Homepage: https://cran.r-project.org/package=atom4R
Description: CRAN Package 'atom4R' (Tools to Handle and Publish Metadata as 'Atom' XML Format)
 Provides tools to read/write/publish metadata based on the 'Atom' XML
 syndication format. This includes support of 'Dublin Core' XML
 implementation, and a client to API(s) implementing the 'AtomPub' 'SWORD'
 API specification.

Package: r-cran-atpolr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2759
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack, r-cran-sf, r-cran-stringr, r-cran-terra
Suggests: r-cran-colorspace, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-atpolr_0.1.1-1.ca2004.1_all.deb
Size: 1916140
MD5sum: 4ab0189ddcc0353fc80f91e7d18be411
SHA1: c73463eaa63d881aec108ea3201548de973f0324
SHA256: ca91e7c3b17b3119539f4ba469dc16dca0e896e549f86d3bd1d573cdc0f13782
SHA512: 2141b1ce9a1eab26ba5919ac0a59957e6fac226ba243e2b937098879e10c8c2a3e6591e66aa90bf6eb4a5dfc9a5a98a3c62bd036346938d60feef989b1675bee
Homepage: https://cran.r-project.org/package=atpolR
Description: CRAN Package 'atpolR' (ATPOL Grid Implementation)
 ATPOL is a rectangular grid system used for botanical studies in Poland. The
 ATPOL grid was developed in Institute of Botany, Jagiellonian University,
 Krakow, Poland in '70. Since then it is widely used to represent
 distribution of plants in Poland.  'atpolR' provides functions to translate
 geographic coordinates to the grid and vice versa. It also allows to create
 a choreograph map.

Package: r-cran-atq
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-zoo, r-cran-ggplot2, r-cran-gridextra, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-cli, r-cran-fansi, r-cran-farver, r-cran-utf8, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-atq_0.2.3-1.ca2004.1_all.deb
Size: 459904
MD5sum: 9cd87ef69bceab3809883b5ae58b901c
SHA1: d12bf6258d4a079f2f114ef8f18d348780e9f753
SHA256: 0c515136ce717b83d960d6bdde3663c1d2b81be16d33255cfd8e3e0704d4a15d
SHA512: 9d58ae58c97b5bbf4fba0a6c03c19deb47134b32bec1702753ef298632ff48ae65b0ffe571b95b021ae6d302f9306673d7ce3fafdb687a7ace415929b2e5d4c4
Homepage: https://cran.r-project.org/package=ATQ
Description: CRAN Package 'ATQ' (Alert Time Quality - Evaluating Timely Epidemic Metrics)
 Provides tools for evaluating timely epidemic detection models within school
 absenteeism-based surveillance systems. Introduces the concept of alert time
 quality as an evaluation metric. Includes functions to simulate populations,
 epidemics, and alert metrics associated with epidemic spread using
 population census data. The methods are based on research published in
 Vanderkruk et al. (2023) <doi:10.1186/s12889-023-15747-z> and Ward et al.
 (2019) <doi:10.1186/s12889-019-7521-7>.

Package: r-cran-atr
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit
Suggests: r-cran-trtf, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-atr_0.1-1-1.ca2004.1_all.deb
Size: 36760
MD5sum: 32c333bdf9832601b3a244fc8846dc2b
SHA1: 0a9f1503c7592e87fba60e246209385c4e7438d3
SHA256: 776b7588130389693f03a64f5330bd901b89c011e1a13b39209fb9170767a56a
SHA512: 7b6c1bd724406bfe90218eaac810babd1c709aacb326178a56702fde1458f93e5467e4705f217401ba746d7843b0921ce245e9c612f19458bc3fbfb73888909b
Homepage: https://cran.r-project.org/package=ATR
Description: CRAN Package 'ATR' (Alternative Tree Representation)
 Plot party trees in left-right orientation instead of the classical top-down
 layout.

Package: r-cran-atrisk
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-sn, r-cran-dfoptim, r-cran-ggplot2, r-cran-ggridges
Filename: pool/dists/focal/main/r-cran-atrisk_0.2.0-1.ca2004.1_all.deb
Size: 66292
MD5sum: b7d9b29256edbb52c3294003200614c6
SHA1: 8a1509b645653d765f7d01ac65ea89d0672e4a6b
SHA256: 8c83ade527ea26cfcd04d36e037db76175bfa8d06ca0bdf83c1c2ad0229215ba
SHA512: 60afa26dcf3f8ec42dbb1bbca349d9f8cd01eb293efad7a2bef491b150eb03d5bde615f6a774d722a2fdd94cc208dd77657007a6d51a2c29cfa2d5d9701a7df6
Homepage: https://cran.r-project.org/package=atRisk
Description: CRAN Package 'atRisk' (At-Risk)
 The at-Risk (aR) approach is based on a two-step parametric estimation
 procedure that allows to forecast the full conditional distribution of an
 economic variable at a given horizon, as a function of a set of factors.
 These density forecasts are then be used to produce coherent forecasts for
 any downside risk measure, e.g., value-at-risk, expected shortfall, downside
 entropy. Initially introduced by Adrian et al. (2019)
 <doi:10.1257/aer.20161923> to reveal the vulnerability of economic growth to
 financial conditions, the aR approach is currently extensively used by
 international financial institutions to provide Value-at-Risk (VaR) type
 forecasts for GDP growth (Growth-at-Risk) or inflation (Inflation-at-Risk).
 This package provides methods for estimating these models. Datasets for the
 US and the Eurozone are available to allow testing of the Adrian et al.
 (2019) model. This package constitutes a useful toolbox (data and functions)
 for private practitioners, scholars as well as policymakers.

Package: r-cran-atrrr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2368
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-httr2, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-snakecase, r-cran-tibble
Suggests: r-cran-askpass, r-cran-av, r-cran-curl, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-jsonlite, r-cran-magick, r-cran-mime, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidygraph, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-atrrr_0.1.0-1.ca2004.1_all.deb
Size: 1607788
MD5sum: a5a72f6f3666b481524ff546df462d7b
SHA1: 5f2460100700862d62c5584ea5148a9c5948a0c5
SHA256: de41d959aa1c2c270013eccc4691d01523caf5dd12eca27a9f0619e9c4a91bc0
SHA512: e0aead8dc36b95766022461761539b503e18a4b1d78b8971ac6ce9a2f16ffaaa7eb72fdd198fcb02a7ff681e1da5521fbb7320c3b533d6a3db2a7c15b2b6f1db
Homepage: https://cran.r-project.org/package=atrrr
Description: CRAN Package 'atrrr' (Wrapper for the 'AT' Protocol Behind 'Bluesky')
 Wraps the 'AT' Protocol (Authenticated Transfer Protocol) behind 'Bluesky'
 <https://bsky.social>. Functions can be used for, among others, retrieving
 posts and followers from the network or posting content.

Package: r-cran-atsa
Architecture: all
Version: 3.1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-atsa_3.1.2.1-1.ca2004.1_all.deb
Size: 180968
MD5sum: 3fc64ed7f33a428e9b7bedcb9c287edf
SHA1: 091c499fee913647d6300637d41e26ce0428c1d9
SHA256: 306abb9dca92010c6dfe476c705a4a2197187fbc68d606dbfea9087f283e141e
SHA512: 4c4b753a59f9e4a17cea6f7615158f9b822a56eb0cc76f6f5cf98bb61b5bdf6acebc1c3ea297d000eed17b530348ddb418cb0452345532a501d0e64cbcb0a2a9
Homepage: https://cran.r-project.org/package=aTSA
Description: CRAN Package 'aTSA' (Alternative Time Series Analysis)
 Contains some tools for testing, analyzing time series data and fitting
 popular time series models such as ARIMA, Moving Average and Holt Winters,
 etc. Most functions also provide nice and clear outputs like SAS does, such
 as identify, estimate and forecast, which are the same statements in PROC
 ARIMA in SAS.

Package: r-cran-atsd
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-httr
Suggests: r-cran-zoo, r-cran-knitr, r-cran-chron, r-cran-timedate, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-atsd_1.2.0-1.ca2004.1_all.deb
Size: 109584
MD5sum: 2a183f3bf95ce241b1f010269cb10a80
SHA1: 089bd77010555689e6e22363ea14a65c2b139fb3
SHA256: d89b7a08232fb247bc1b5f1eba105a62b690a713f9c982c56d2541478727d965
SHA512: 984e9aaff8e36804c9d58bec46bfe5d047d96a94984d24c601c4e2bde4b6350c86f4681c126c504b9384b617f541a67abe3afbd2d9585385366abf11021ce655
Homepage: https://cran.r-project.org/package=atsd
Description: CRAN Package 'atsd' (Support Querying Axibase Time-Series Database)
 Provides functions for retrieving time-series and related meta-data such as
 entities, metrics, and tags from the Axibase Time-Series Database (ATSD).
 ATSD is a non-relational clustered database used for storing performance
 measurements from IT infrastructure resources: servers, network devices,
 storage systems, and applications.

Package: r-cran-attachment
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-glue, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-stringr, r-cran-withr, r-cran-yaml
Suggests: r-cran-lifecycle, r-cran-renv, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-attachment_0.4.5-1.ca2004.1_all.deb
Size: 247852
MD5sum: 5c411c358c511498a7c00e8b271dbfac
SHA1: df5609ebbfe7f0d8d77bcb2d275db27f114ad6d3
SHA256: ed779b37b23ba8115a4e4ceb1cce30b1cf203da3f49dc9374a30c2d526e12e61
SHA512: 4b69eed26b36760eca8c16fa20e9dffb81542165eecedbe628b5c88340d39a0ed0964487878cf08e6f0e18fc68926342d86bb2ba47bbf2834f002a9e47448f7e
Homepage: https://cran.r-project.org/package=attachment
Description: CRAN Package 'attachment' (Deal with Dependencies)
 Manage dependencies during package development. This can retrieve all
 dependencies that are used in ".R" files in the "R/" directory, in ".Rmd"
 files in "vignettes/" directory and in 'roxygen2' documentation of
 functions. There is a function to update the "DESCRIPTION" file of your
 package with 'CRAN' packages or any other remote package.  All functions to
 retrieve dependencies of ".R" scripts and ".Rmd" or ".qmd" files can be used
 independently of a package development.

Package: r-cran-attempt
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-attempt_0.3.1-1.ca2004.1_all.deb
Size: 98292
MD5sum: 06117a709d33ea3ebfa60cebd068ef23
SHA1: e9fbad8f9ef61808a3f1bca56b3ae4f288be9883
SHA256: afed76bd179b6dd43531b0203f0365a677e37c79733b5f63580e68d3dbf3e3f3
SHA512: 758ec94c468dea3a6d6f91de8b137d54021189d13db0c70656d48b9c0973ce4d8598a62ab1a42f419b345ddc7c18f63db3850f876f057cfa7523182a7d8411c1
Homepage: https://cran.r-project.org/package=attempt
Description: CRAN Package 'attempt' (Tools for Defensive Programming)
 Tools for defensive programming, inspired by 'purrr' mappers and based on
 'rlang'.'attempt' extends and facilitates defensive programming by providing
 a consistent grammar, and provides a set of easy to use functions for common
 tests and conditions. 'attempt' only depends on 'rlang', and focuses on
 speed, so it can be easily integrated in other functions and used in data
 analysis.

Package: r-cran-attention
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-attention_0.4.0-1.ca2004.1_all.deb
Size: 23384
MD5sum: de8f1efd9a9b5f9e8173025938181c07
SHA1: a6cd69e951acaf3ca5ce395a1b4b4d4cd3841f5d
SHA256: dced6397895c39b5f3f2850e42c7e91f3671fad064320bc21458999b2a11b663
SHA512: 28b5fa5b4613ce9c4fde63bcdda7e0a7868ba8fa4b6e5a35b8770f242e7ceb113489444b2cb6383fde40528199b2e75ae3f5472f2407dcbc3bb5ac4a8920eac2
Homepage: https://cran.r-project.org/package=attention
Description: CRAN Package 'attention' (Self-Attention Algorithm)
 Self-Attention algorithm helper functions and demonstration vignettes of
 increasing depth on how to construct the Self-Attention algorithm, this is
 based on Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>, Dan Jurafsky
 and James H. Martin (2022, ISBN:978-0131873216)
 <https://web.stanford.edu/~jurafsky/slp3/> "Speech and Language Processing
 (3rd ed.)" and Alex Graves (2020)
 <https://www.youtube.com/watch?v=AIiwuClvH6k> "Attention and Memory in Deep
 Learning".

Package: r-cran-attenuation
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-attenuation_1.0.0-1.ca2004.1_all.deb
Size: 62360
MD5sum: dd7676614de9856d95c9fe779cb90721
SHA1: b8ce196ddd486f7dc96c8d8955d5bcc774f7e1a1
SHA256: 966ed9d381a309a7b5659d32b3b9e6459a8989ff8d13195f0af89483b57eaa19
SHA512: 44fb7e30049ef4506372af4ee336dd43eefa7c3872f6937f49f36a3b931cbc1dbba985ee0d062fa97aad196934678216b9971431d3424d85b4d5c0a584a80c91
Homepage: https://cran.r-project.org/package=attenuation
Description: CRAN Package 'attenuation' (Correcting for Attenuation Due to Measurement Error)
 Confidence curves, confidence intervals and p-values for correlation
 coefficients corrected for attenuation due to measurement error.  Implements
 the methods described in Moss (2019, <arxiv:1911.01576>).

Package: r-cran-attrib
Architecture: all
Version: 2021.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 516
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-glue, r-cran-pbs, r-cran-dlnm, r-cran-lubridate, r-cran-mvmeta, r-cran-tsmodel, r-cran-lme4, r-cran-arm, r-cran-tibble, r-cran-stringr, r-cran-ggplot2, r-cran-progress
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-attrib_2021.1.2-1.ca2004.1_all.deb
Size: 314524
MD5sum: d5ef81e294936cf23a165e6ea015cad7
SHA1: a0b20a2f195999bc7e8b09b995f7db9c7fbf9b02
SHA256: cc9c833896b2266407e595b359c7fcdaedc99c3e775496ad1f1ba86f98e3ae4f
SHA512: 03ce7b3d4e26d996f4b61de0a70dcdb43977f91064b05e66e156db13df25e64a7c65bc35275ef5bb02df51bdd62a5910fe6f0b705ab042b8d1a8740abcd69044
Homepage: https://cran.r-project.org/package=attrib
Description: CRAN Package 'attrib' (Attributable Burden of Disease)
 Provides functions for estimating the attributable burden of disease due to
 risk factors. The posterior simulation is performed using arm::sim as
 described in Gelman, Hill (2012) <doi:10.1017/CBO9780511790942> and the
 attributable burden method is based on Nielsen, Krause, Molbak
 <doi:10.1111/irv.12564>.

Package: r-cran-auc
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-auc_0.3.2-1.ca2004.1_all.deb
Size: 43512
MD5sum: 063e1f2ded1293ec8bd16e7b7a01fc5b
SHA1: c5f85e673b4a26eb05296b086651bfbdfeaca8e1
SHA256: bdd88663ae09ba7af235cfa01944fe440e57559fea3a68308ecd141fa21df0d2
SHA512: 8b72d7bbe7a3f36b4c2616823f4ecb050ae6b8f0fa2606fe78f03a78636a3ef1d960f6df275160664103cac9e59c218e6fbf68df03f3ffaa063971a9b55c07d9
Homepage: https://cran.r-project.org/package=AUC
Description: CRAN Package 'AUC' (Threshold Independent Performance Measures for ProbabilisticClassifiers)
 Various functions to compute the area under the curve of selected measures:
 The area under the sensitivity curve (AUSEC), the area under the specificity
 curve (AUSPC), the area under the accuracy curve (AUACC), and the area under
 the receiver operating characteristic curve (AUROC). Support for
 visualization and partial areas is included.

Package: r-cran-aucrf
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2608
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-aucrf_1.1-1.ca2004.1_all.deb
Size: 2315724
MD5sum: 76283b47f6b6557d9b5f8d8a335e364b
SHA1: 360aa6d1c6d39818524101e80e187a54efd5f101
SHA256: 207c9206c53e852b28caac17feb0521ed1b11d69cd3d8e3cbacb87bbe19c30a0
SHA512: 71319b5eeb33e4298e6e80b4a05a7a3a929df206e22ad3f5fc4938a020a2ea8863db39418488ad2f39b3dae5cff0e1a28426c238f101fb65677373fd47d275a7
Homepage: https://cran.r-project.org/package=AUCRF
Description: CRAN Package 'AUCRF' (Variable Selection with Random Forest and the Area Under theCurve)
 Variable selection using Random Forest based on optimizing the
 area-under-the ROC curve (AUC) of the Random Forest.

Package: r-cran-auctestr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-auctestr_1.0.0-1.ca2004.1_all.deb
Size: 36648
MD5sum: 32c848ef578597e75c3f1e92a69dc5c3
SHA1: 0345717a85e76b2371f066f26eac83913d4bc519
SHA256: dcd0d343d9fce2a54d7f7242821b105e8237794572f252018129c3cfa7e30352
SHA512: 9cd647df85adab13dccbd84710438d5dcf94a9ff1de6a5bd816405a51663c07a99113e3419f0c8ca20c3761a93bfa81c6b69ff22a4c063dd6b4338ed0b72d51a
Homepage: https://cran.r-project.org/package=auctestr
Description: CRAN Package 'auctestr' (Statistical Testing for AUC Data)
 Performs statistical testing to compare predictive models based on multiple
 observations of the A' statistic (also known as Area Under the Receiver
 Operating Characteristic Curve, or AUC).  Specifically, it implements a
 testing method based on the equivalence between the A' statistic and the
 Wilcoxon statistic.  For more information, see Hanley and McNeil (1982)
 <doi:10.1148/radiology.143.1.7063747>.

Package: r-cran-auctionr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-auctionr_0.1.0-1.ca2004.1_all.deb
Size: 61072
MD5sum: 20092f9166c1d2eb84aa12d668dd9ffd
SHA1: 32a3763448c55442c77184127f4b00985b5dfcc8
SHA256: 948a3e52f7964da9153a7bfc31763eceeb3b6149b0380dbd13b07732641f05dd
SHA512: bac6c9432a0b68adfdd2ae5b64cd8c5d09da6e8673014aa522df6134107ad047644af61e2e88aa55ef8ee90121322adbf65bb8f8128c88819513842b425ea1b1
Homepage: https://cran.r-project.org/package=auctionr
Description: CRAN Package 'auctionr' (Estimate First-Price Auction Model)
 Estimates a first-price auction model with conditionally independent private
 values as described in MacKay (2020) <doi:10.2139/ssrn.3096534>. The model
 allows for unobserved heterogeneity that is common to all bidders in
 addition to observable heterogeneity.

Package: r-cran-audiolyzr
Architecture: all
Version: 0.4-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hexbin, r-cran-rjsonio, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-audiolyzr_0.4-9-1.ca2004.1_all.deb
Size: 58412
MD5sum: 2f5c65225b722ecbf9267f24a11500cc
SHA1: 712e3af858b1b1618ef679eb03b1a147e03556a7
SHA256: b8ee769e061d86a4e9aa744615bb021eacaec64f1707e0e23a232faf74b096d6
SHA512: 9e4c1b4156b88c07af3f046f8d27a5498679a65a7e160ae33f61e01656ef4adbac7e4c572c0fac46768e0615db3e9289ee4816c1e14c1cd6af568f19b1d1b63b
Homepage: https://cran.r-project.org/package=audiolyzR
Description: CRAN Package 'audiolyzR' (audiolyzR: Give your data a listen)
 Creates audio representations of common plots in R

Package: r-cran-audiometry
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggbeeswarm, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-audiometry_0.3.0-1.ca2004.1_all.deb
Size: 125032
MD5sum: 9f4a888fb4b395becc3b3dc1693e87ce
SHA1: 296e79e35261193f641999561d5df03a3653f0d7
SHA256: a9289530d44fa729729b1aefebc60e9f8ab3f6146fb75eacaec985db899167c4
SHA512: 70107f4dd6eef90fd9451f050e6a4def5d430126fa12d6c80de2445336973efab083244823bd305036f01d97008bdd1998361ab012ac9557c6cb7135f5a8ab12
Homepage: https://cran.r-project.org/package=audiometry
Description: CRAN Package 'audiometry' (Standard Conform Pure Tone Audiometry (PTA) Plots)
 Facilitates plotting audiometric data (mostly) by preparing the coordinate
 system according to standards, given e. g. in American
 Speech-Language-Hearing Association (2005),
 <doi:10.1044/policy.GL2005-00014>.

Package: r-cran-audioscatter
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tidyverse, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-audioscatter_1.1.0-1.ca2004.1_all.deb
Size: 33228
MD5sum: 5ebb6b9085a83e0ff391dd0c68b456a9
SHA1: 3062b653f0582a91c1cb69769fb270cdda03e232
SHA256: cdbbd044b6459f60cdea377045dc3085405c3880746b7c6117cb4e5c443f5d30
SHA512: 6e8354975710a28cbcd5205bee7960a554a999c3faadb2955538540e5eff8ff412eacad7f43cdd153744bb39ed7abbc75138316b828649e5abbb1996239cef77
Homepage: https://cran.r-project.org/package=AudioScatter
Description: CRAN Package 'AudioScatter' (Audiogram Scattergrams)
 Creates pre- and post- intervention scattergrams based on audiometric data.
 These scattergrams are formatted for publication in Otology & Neurotology
 and other otolaryngology journals. For more details, see Gurgel et al (2012)
 <doi:10.1177/0194599812458401>, Oghalai and Jackler (2016)
 <doi:10.1177/0194599816638314>.

Package: r-cran-audit
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-audit_0.1-2-1.ca2004.1_all.deb
Size: 18808
MD5sum: 40fbd1e7792f12eb1dd9092ad794aafb
SHA1: 8a3f9da867baa3a66752cc48eb8bd5a6bbba06a3
SHA256: cac65a048879d1eced8fa65e61998ac1c0f154d4a20513e759a5618f645b2f38
SHA512: 703810d7d3c0eb99d50897f57568f14735c0a4fe5ba0bd792a05c443d8f0f3764bdf9c27239451a7dd3190ea88a68fb8054a3452e28fa18566777cfd61788fdf
Homepage: https://cran.r-project.org/package=audit
Description: CRAN Package 'audit' (Bounds for Accounting Populations)
 Find an upper bound for the total amount of overstatement of assets in a set
 of accounts, or estimate the amount of sales tax owed on a collection of
 transactions (Meeden and Sargent, 2007, <doi:10.1080/03610920701386802>).

Package: r-cran-auditor
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1447
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dalex, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-hnp, r-cran-scales
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-markdown, r-cran-mgcv, r-cran-r2d3, r-cran-randomforest, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-auditor_1.3.5-1.ca2004.1_all.deb
Size: 1013164
MD5sum: 78daa9940c75262294eadae451792a9f
SHA1: e3d6a1ee98a84d10ed29d7c8a144d07f60742898
SHA256: fea8439115f1e637600b634b4ceebb667ae97551e7537d1d37c7c3fba3b34495
SHA512: 7006a6061f72c08e82a93a6133e1d3c5b8d736721ce9238dfed300bfe347f2ad4965a29f2ab13135c9c230717e797ddb442a4c8e119a6f698f363f796103f44d
Homepage: https://cran.r-project.org/package=auditor
Description: CRAN Package 'auditor' (Model Audit - Verification, Validation, and Error Analysis)
 Provides an easy to use unified interface for creating validation plots for
 any model.  The 'auditor' helps to avoid repetitive work consisting of
 writing code needed to create residual plots.  This visualizations allow to
 asses and compare the goodness of fit, performance, and similarity of
 models.

Package: r-cran-audrex
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rbayesianoptimization, r-cran-xgboost, r-cran-ggplot2, r-cran-readr, r-cran-stringr, r-cran-lubridate, r-cran-narray, r-cran-fancova, r-cran-imputets, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-metrics
Filename: pool/dists/focal/main/r-cran-audrex_2.0.1-1.ca2004.1_all.deb
Size: 149060
MD5sum: 04c2076587ff0b5d54839cadcc8dc3e1
SHA1: ff13e1c5e6357faf01c5c6b425345f98c7e83eb6
SHA256: ad8f33da6312ad0e41d0fb52688632224df93a671b1269b0bdb74db0c06b08a2
SHA512: f7ad0e2a0f408f0bf346325c8e2135a7851b37f03fd6c3ce487464beac17b0d672649b5e5ead523dce4c601bcaa6dc985e3638dbdfc90fd311e102acbfe48444
Homepage: https://cran.r-project.org/package=audrex
Description: CRAN Package 'audrex' (Automatic Dynamic Regression using Extreme Gradient Boosting)
 Dynamic regression for time series using Extreme Gradient Boosting with
 hyper-parameter tuning via Bayesian Optimization or Random Search.

Package: r-cran-audubon
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 787
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-matrix, r-cran-memoise, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-v8
Suggests: r-cran-roxygen2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-audubon_0.5.2-1.ca2004.1_all.deb
Size: 558516
MD5sum: 3e5e364c91b834a3d254b442f9a07ebf
SHA1: f5473959b878e46737c38bc17d9e005228abceda
SHA256: 8ce45fa26f6eb7751a61a20217569d8cdf3ac908943291eca79b8315715fa17b
SHA512: 4ed01a208048e88d8e90f0e65f44c2fb2a5e461a0ca1c38b8d8d81e0eb5931a0a2c3089a4559ed7bef1974bf6af46a4c5d7cb3cebab647ff761e2f966e64cc43
Homepage: https://cran.r-project.org/package=audubon
Description: CRAN Package 'audubon' (Japanese Text Processing Tools)
 A collection of Japanese text processing tools for filling Japanese
 iteration marks, Japanese character type conversions, segmentation by
 phrase, and text normalization which is based on rules for the 'Sudachi'
 morphological analyzer and the 'NEologd' (Neologism dictionary for 'MeCab').
 These features are specific to Japanese and are not implemented in 'ICU'
 (International Components for Unicode).

Package: r-cran-augmentedrcbd
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-emmeans, r-cran-flextable, r-cran-ggplot2, r-cran-mathjaxr, r-cran-moments, r-cran-multcomp, r-cran-multcompview, r-cran-numform, r-cran-officer, r-cran-openxlsx, r-cran-rdpack, r-cran-reshape2, r-cran-stringi
Suggests: r-cran-agricolae, r-cran-diagram, r-cran-httr, r-cran-knitr, r-cran-pander, r-cran-rcurl, r-cran-rmarkdown, r-cran-testthat, r-cran-xml
Filename: pool/dists/focal/main/r-cran-augmentedrcbd_0.1.7-1.ca2004.1_all.deb
Size: 1160736
MD5sum: 438c09336169805da6da4a252f3dc2d1
SHA1: 5204b804b8b46553e519811aec5f30a55e120e8d
SHA256: d32844d3ae4f30ade51f94a3450d12a291a13425abed258fe57c06f0955cfcf0
SHA512: 21e5c9bb5c68295a19269cb69873a3f017c5f2c6334f2ca66714881fe739349d55814ef5834a0ba023fe62bd500051971751cd8b77f1078a538883fe07144d64
Homepage: https://cran.r-project.org/package=augmentedRCBD
Description: CRAN Package 'augmentedRCBD' (Analysis of Augmented Randomised Complete Block Designs)
 Functions for analysis of data generated from experiments in augmented
 randomised complete block design according to Federer, W.T.  (1961)
 <doi:10.2307/2527837>. Computes analysis of variance, adjusted means,
 descriptive statistics, genetic variability statistics etc.  Further
 includes data visualization and report generation functions.

Package: r-cran-augmenterr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-augmenterr_0.1.0-1.ca2004.1_all.deb
Size: 76256
MD5sum: 2f98921a6cc32135ea8ece971f26b56f
SHA1: fbbd1b98bc414271a7d8f5003606e618d23d62ee
SHA256: e88178c1cc555fe879ae9c5005aa68fec2095837899d54e932d048d18ce0c95f
SHA512: 804a08c91772a623d968114cef8bcde38a8cdbca744b8ff9db0cce8dbc4366f8a68f6785fc0aaa0b99762b8c378a9a17180bc69c117aec8042a056645755219b
Homepage: https://cran.r-project.org/package=AugmenterR
Description: CRAN Package 'AugmenterR' (Data Augmentation for Machine Learning on Tabular Data)
 Implementation of a data augmentation technique based on conditional entropy
 It was devised by both authors during their masters and is discussed in
 detail in the second author dissertation.  It is able to create novel
 samples conditioned on a desired value of a categorical attribute, as a way
 to augment data for classification tasks Tests discussed in the dissertation
 and future paper present that the technique satisfies several statistical
 assumptions for the novel samples.  It also shows significant improvement
 for machine learning models trained on small data.

Package: r-cran-auk
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2043
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-countrycode, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-unmarked, r-cran-withr
Filename: pool/dists/focal/main/r-cran-auk_0.8.2-1.ca2004.1_all.deb
Size: 1513256
MD5sum: 4e5933d2c0654ab37051b6c7f6daa04b
SHA1: d3edf30a8cb99c917134d66169afd95593c30a10
SHA256: bd1e44ec4e6b851694dbb87417f69eeec7a2c04a445abb2f8851207c307891be
SHA512: 87433fa7d3b6f35407fd01cf1fd4a6a53da014b9ac7fa012817f511e49a1fc7cae429ef2e8defd582e2245e037599b2a84c4f1eb5038e603867324859fb44086
Homepage: https://cran.r-project.org/package=auk
Description: CRAN Package 'auk' (eBird Data Extraction and Processing in R)
 Extract and process bird sightings records from eBird (<http://ebird.org>),
 an online tool for recording bird observations.  Public access to the full
 eBird database is via the eBird Basic Dataset (EBD; see
 <http://ebird.org/ebird/data/download> for access), a downloadable text
 file. This package is an interface to AWK for extracting data from the EBD
 based on taxonomic, spatial, or temporal filters, to produce a manageable
 file size that can be imported into R.

Package: r-cran-aurelius
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-gbm, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-forecast, r-cran-caret, r-cran-ipred, r-cran-flexclust, r-cran-e1071, r-cran-randomforest, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-aurelius_0.8.4-1.ca2004.1_all.deb
Size: 356380
MD5sum: fcd0d9d94234b11656ee18c7d2585c97
SHA1: 4bc927ae3fd084b70c0826f6545fbcfb890aa927
SHA256: 2c36ed03e731bbd72ebbfb15974071f29603462b12caa60dccff43aaf54feda8
SHA512: daa9d69ad2f491a784f90a811690ead546746dea1ad93cd2b3660aab56180c4d4671a81fe2caed99f789ec64921957b8d6cbe77f2b415f8a9b3c0c0d354fa384
Homepage: https://cran.r-project.org/package=aurelius
Description: CRAN Package 'aurelius' (Generates PFA Documents from R Code and Optionally Runs Them)
 Provides tools for converting R objects and syntax into the Portable Format
 for Analytics (PFA). Allows for testing validity and runtime behavior of PFA
 documents through rPython and Titus, a more complete implementation of PFA
 for Python. The Portable Format for Analytics is a specification for
 event-based processors that perform predictive or analytic calculations and
 is aimed at helping smooth the transition from statistical model development
 to large-scale and/or online production. See <http://dmg.org/pfa> for more
 information.

Package: r-cran-aurielshgaussian
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-stringdist, r-cran-reshape2, r-cran-lsa, r-cran-flexclust
Filename: pool/dists/focal/main/r-cran-aurielshgaussian_0.2.0-1.ca2004.1_all.deb
Size: 22792
MD5sum: 5a87b54c85b291f1ad71cad8fc22bf21
SHA1: 29ff7eca11cf6247333e0e763991f6e215625123
SHA256: a52bf2d2da5ad3ba369b2f233222a31af5ffa99e9cce240a90cc82c7780be07c
SHA512: bb767eb61e1b5cbb9dd05850904f61c6db867bc858cbf235d25893011562aae1110d70af8f45d1a4e13544301ffb8c6b63b350a31cbb4c63014e99c3ffc1ee20
Homepage: https://cran.r-project.org/package=AurieLSHGaussian
Description: CRAN Package 'AurieLSHGaussian' (Creates a Neighbourhood Using Locality Sensitive Hashing forGaussian Projections)
 Uses locality sensitive hashing and creates a neighbourhood graph for a data
 set and calculates the adjusted rank index value for the same. It uses
 Gaussian random planes to decide the nature of a given point. Datar, Mayur,
 Nicole Immorlica, Piotr Indyk, and Vahab S. Mirrokni(2004)
 <doi:10.1145/997817.997857>.

Package: r-cran-aurin
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 698
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-checkmate, r-cran-cli, r-cran-stringr, r-cran-glue, r-cran-httr, r-cran-r6, r-cran-ows4r, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-covr, r-cran-furrr
Filename: pool/dists/focal/main/r-cran-aurin_0.6.0-1.ca2004.1_all.deb
Size: 669372
MD5sum: 6bee83bdb8c600713cc984f5cfc1adee
SHA1: f33ab4af5dea1351ed1b21635c9f4dd028157413
SHA256: cc87c33189b53fe4a4eebc7f5faae536f5700ab03f7cc3cd0c6a3195026c3a03
SHA512: 5a82108a518aa4597f60d7355b7765b742e0aba874c8d7d136ab22b52d478604028cc670b636e7a3a78db718e452d5cb2e5178afdb43e201947d266198dcf1d5
Homepage: https://cran.r-project.org/package=aurin
Description: CRAN Package 'aurin' (Access Datasets from the 'AURIN' API)
 'AURIN' <https://aurin.org.au/resources/aurin-apis/> is "Australia's single
 largest resource for accessing clean, integrated, spatially enabled and
 research-ready data on issues surrounding health and wellbeing,
 socio-economic metrics, transportation, and land-use.". This package
 provides functions to download and search datasets from the AURIN API (it's
 free to use!).

Package: r-cran-auroc
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-auroc_0.2-1-1.ca2004.1_all.deb
Size: 65372
MD5sum: 7a05eb1037544c2db1ea5898ebcbcff2
SHA1: 502095b34563206f309ad294e3aff283c40f87b9
SHA256: 8461679664c4e8f3f3664d36c149a2f5bd5adbed7aa08c5d615b6862e28df57e
SHA512: ebfdd642f83dd7b8c4bf2147e6b910b666e83c8262dec05916050ac380af8b9c61b6576202403dd7af0a759eec7b91df772258cfa198ca81688294c9c62e6d72
Homepage: https://cran.r-project.org/package=auRoc
Description: CRAN Package 'auRoc' (Various Methods to Estimate the AUC)
 Estimate the AUC using a variety of methods as follows: (1) frequentist
 nonparametric methods based on the Mann-Whitney statistic or kernel methods.
 (2) frequentist parametric methods using the likelihood ratio test based on
 higher-order asymptotic results, the signed log-likelihood ratio test, the
 Wald test, or the approximate ''t'' solution to the Behrens-Fisher problem.
 (3) Bayesian parametric MCMC methods.

Package: r-cran-ausplotsr
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-mapdata, r-cran-vegan, r-cran-plyr, r-cran-r.utils, r-cran-httr, r-cran-jsonlite, r-cran-gtools, r-cran-jose, r-cran-betapart, r-cran-curl, r-cran-r2r, r-cran-stringr, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-formatr, r-cran-sf
Filename: pool/dists/focal/main/r-cran-ausplotsr_2.0.5-1.ca2004.1_all.deb
Size: 235112
MD5sum: ca089c7758682beb1cf6382403d9accd
SHA1: fefdad182442bd6e4787b576d2df8988ad41f36b
SHA256: f06b8defa723ef001fd69cdce85ef028e8605e637b788dc532c8d761683de768
SHA512: 0ae232f96e4c5fe0143bb8217cb3fdc9674263a6151bb7ecf3b9afd87f4201bee816911e894aa06f99060bb55cd01169b94177d049c850df2f4c0172d1a0d913
Homepage: https://cran.r-project.org/package=ausplotsR
Description: CRAN Package 'ausplotsR' (TERN AusPlots Australian Ecosystem Monitoring Data)
 Extraction, preparation, visualisation and analysis of TERN AusPlots
 ecosystem monitoring data. Direct access to plot-based data on vegetation
 and soils across Australia, including physical sample barcode numbers.
 Simple function calls extract the data and merge them into species
 occurrence matrices for downstream analysis, or calculate things like basal
 area and fractional cover. TERN AusPlots is a national field plot-based
 ecosystem surveillance monitoring method and dataset for Australia. The data
 have been collected across a national network of plots and transects by the
 Terrestrial Ecosystem Research Network (TERN - <https://www.tern.org.au>),
 an Australian Government NCRIS-enabled project, and its Ecosystem
 Surveillance platform
 (<https://www.tern.org.au/tern-land-observatory/ecosystem-surveillance-and-environmental-monitoring/>).

Package: r-cran-australianpoliticians
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-australianpoliticians_0.1.0-1.ca2004.1_all.deb
Size: 60736
MD5sum: 5d2bcd4e60a82ae246b574f26c6790ad
SHA1: 2ce52740b404547ab1500f25361f109ab23945dc
SHA256: 0a249dae1733dbefbfbeda5e39c4a60f273e2ab5045c2bf0162094db296d218f
SHA512: 8b78b8dea6572f44359b0910725f965f6e8e027a0d2f18ba9f92fc69978292fc7daf290d606d8bf98f25ed6b93b6e9e6d29b7063cf31026e7cf5073430549b19
Homepage: https://cran.r-project.org/package=AustralianPoliticians
Description: CRAN Package 'AustralianPoliticians' (Provides Datasets About Australian Politicians)
 Provides access to biographical and political data about Australian federal
 politicians who served between 1901 and 2021. This enhances how reproducible
 research is that uses this data.

Package: r-cran-autests
Architecture: all
Version: 0.99-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-logistf
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-autests_0.99-1.ca2004.1_all.deb
Size: 57636
MD5sum: 2b82db6215095ca81f6a4e28df65cb66
SHA1: 59e1b7239b431381a664959c1518fa19b93dea9e
SHA256: 4df8ed637349bf80258a66bc887b6faf24094db09cbf56faa90661c32c21b91c
SHA512: 230c07abe0e16908d745762f7c5638b15d19276e4a44ccb499135ef3124e79fb3822a3a6212a72349363aa6240be37eaa106a08276b489809abec266b4983bf2
Homepage: https://cran.r-project.org/package=AUtests
Description: CRAN Package 'AUtests' (Approximate Unconditional and Permutation Tests)
 Performs approximate unconditional and permutation testing for 2x2
 contingency tables. Motivated by testing for disease association with rare
 genetic variants in case-control studies. When variants are extremely rare,
 these tests give better control of Type I error than standard tests.

Package: r-cran-auth0
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-shiny, r-cran-yaml, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-auth0_0.2.3-1.ca2004.1_all.deb
Size: 317728
MD5sum: e93b17c10839f50f90496e198c587f51
SHA1: 8a240e8db08a4b133eb738a403ef05c9e0ac993a
SHA256: 7b8c8acdc8be44e30fb0fbf017248803c7579a5bd476d38f7c8852a578e4a516
SHA512: 33d155105265399005dd261c7e9e8ba06e4b133118a93352e04a2437113cac973fbc5b5d93702ea56477962399bc5506882bdc1605158b1e28b152b25947ffb2
Homepage: https://cran.r-project.org/package=auth0
Description: CRAN Package 'auth0' (Authentication in Shiny with Auth0)
 Uses Auth0 API (see <https://auth0.com> for more information) to use a
 simple authentication system. It provides tools to log in and out a shiny
 application using social networks or a list of e-mails.

Package: r-cran-authoritative
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-authoritative_0.2.0-1.ca2004.1_all.deb
Size: 71792
MD5sum: 05b1713c8f6da2d63ba017e551ad3e2f
SHA1: 774d609137de27e9b22f720c03fb57da95e695cd
SHA256: 9c8d4813ce3ebed18d5ae6f1d98d6ba61849ac1b6b1b9ae443a430459df841dc
SHA512: 6aced9af15a00acfc5c39ba9b41c9469b328773077b2d3b3b83cffb158fa7a8b2e1fe3a38eafc79fb1387d3d2fb49ddd00f97cfb39df2177de50a1c22ea7b772
Homepage: https://cran.r-project.org/package=authoritative
Description: CRAN Package 'authoritative' (Parse and Deduplicate Author Names)
 Utilities to parse authors fields from DESCRIPTION files and general purpose
 functions to deduplicate names in database, beyond the specific case of R
 package authors.

Package: r-cran-auto.pca
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-plyr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-auto.pca_0.3-1.ca2004.1_all.deb
Size: 15180
MD5sum: 1ff4a14529bbfd8994aec8b2103e5f84
SHA1: 73da611ea6a6ceab943a560654a11b74bbe34280
SHA256: 8d25ee470424c49677a696ea00091981f3e71cfcf29b6a8bb526dc9522a36540
SHA512: 0c2addd52539f4566fe607cb4c662da35cd94fbd235fcdf9e1384ec3417f71eb33babc6212c9ec7e40661fa16fbd0ce19fac3349bb5ba167f3dba14b3f274f4b
Homepage: https://cran.r-project.org/package=auto.pca
Description: CRAN Package 'auto.pca' (Automatic Variable Reduction Using Principal Component Analysis)
 PCA done by eigenvalue decomposition of a data correlation matrix, here it
 automatically determines the number of factors by eigenvalue greater than 1
 and it gives the uncorrelated variables based on the rotated component
 scores, Such that in each principal component variable which has the high
 variance are selected. It will be useful for non-statisticians in selection
 of variables. For more information, see the
 <http://www.ijcem.org/papers032013/ijcem_032013_06.pdf> web page.

Package: r-cran-autoads
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-ggplot2, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-autoads_0.1.0-1.ca2004.1_all.deb
Size: 36300
MD5sum: 223f3a65cf455c360912bd653f85c876
SHA1: 00a6a4c83fa0794ba3ba1d7dfaeeb82dae507e5d
SHA256: 4b4cbb8154cbd3de23213dd33c86ccc9738e2ba2f9892b09e0244f6e52597d54
SHA512: 29b169c2a9e5969f842fc09169109cf7dcab489dbcfed4dbc17500ffed277cadc15a248c3c88ab3ad46a22596c14456f36562ceffda11fa59589c0b214bdb222
Homepage: https://cran.r-project.org/package=AutoAds
Description: CRAN Package 'AutoAds' (Advertisement Metrics Calculation)
 Calculations of the most common metrics of automated advertisement and
 plotting of them with trend and forecast. Calculations and description of
 metrics is taken from different RTB platforms support documentation.
 Plotting and forecasting is based on packages 'forecast', described in Rob J
 Hyndman and George Athanasopoulos (2021) "Forecasting: Principles and
 Practice" <https://otexts.com/fpp3/> and Rob J Hyndman et al "Documentation
 for 'forecast'" (2003) <https://pkg.robjhyndman.com/forecast/>, and
 'ggplot2', described in Hadley Wickham et al "Documentation for 'ggplot2'"
 (2015) <https://ggplot2.tidyverse.org/>, and Hadley Wickham, Danielle
 Navarro, and Thomas Lin Pedersen (2015) "ggplot2: Elegant Graphics for Data
 Analysis" <https://ggplot2-book.org/>.

Package: r-cran-autobagging
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2042
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-xgboost, r-cran-e1071, r-cran-rpart, r-cran-abind, r-cran-caret, r-cran-mass, r-cran-entropy, r-cran-lsr, r-cran-corelearn, r-cran-infotheo, r-cran-minerva, r-cran-party
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autobagging_0.1.0-1.ca2004.1_all.deb
Size: 1963116
MD5sum: b63e51b0defd5a21a2e13f9c14444c3f
SHA1: c6f9dfe8646914163a37a15c2c6af21f0911d903
SHA256: e768f19c0467b2f44e0a8b7597fd66b3afdd11735ce58d67a5574d397f303123
SHA512: 40fbffe4f2df9eb8daf46a59a289875981bc1a288e30212e4f20b1cc8e55963aab6deb07a2509c2ec0f8959265d6f9c640e985617c2ec1ea0bbc7d95f1f71370
Homepage: https://cran.r-project.org/package=autoBagging
Description: CRAN Package 'autoBagging' (Learning to Rank Bagging Workflows with Metalearning)
 A framework for automated machine learning. Concretely, the focus is on the
 optimisation of bagging workflows. A bagging workflows is composed by three
 phases: (i) generation: which and how many predictive models to learn; (ii)
 pruning: after learning a set of models, the worst ones are cut off from the
 ensemble; and (iii) integration: how the models are combined for predicting
 a new observation. autoBagging optimises these processes by combining
 metalearning and a learning to rank approach to learn from metadata. It
 automatically ranks 63 bagging workflows by exploiting past performance and
 dataset characterization. A complete description of the method can be found
 in: Pinto, F., Cerqueira, V., Soares, C., Mendes-Moreira, J. (2017):
 "autoBagging: Learning to Rank Bagging Workflows with Metalearning" arXiv
 preprint arXiv:1706.09367.

Package: r-cran-autocogs
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 885
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-checkmate, r-cran-diptest, r-cran-dplyr, r-cran-ggplot2, r-cran-hexbin, r-cran-mass, r-cran-mclust, r-cran-moments, r-cran-progress, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autocogs_0.1.5-1.ca2004.1_all.deb
Size: 819348
MD5sum: fda2fd5102222ff871ac0f5eb4d03026
SHA1: 4f933bb92a1be0d0ca90f5b105ef4799ccc62ecb
SHA256: 62dd00afff1c920c61f3f099e885a25d2c63fec9a6881d697a4db68e52493fed
SHA512: 0657623c970c7f9ee6afe49ed0c058bb99ccec86e2233f605d0f5b3cbf59b37b1391dca12e9fbb09c219638c7734b3c233cb2cf3fdb29e1bbc8fce84b2a4951c
Homepage: https://cran.r-project.org/package=autocogs
Description: CRAN Package 'autocogs' (Automatic Cognostic Summaries)
 Automatically calculates cognostic groups for plot objects and list column
 plot objects.  Results are returned in a nested data frame.

Package: r-cran-autocovariateselection
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autocovariateselection_1.0.0-1.ca2004.1_all.deb
Size: 558632
MD5sum: 74d59dfb1097c32eaa5d3e762358b9ae
SHA1: cadf492138b068be887630296f9d55607a47c65f
SHA256: f13636b0011abe5521b6b923c49ab6c68fdc58bdc4a0a19e90b3314322310a04
SHA512: 40652200ed5af4945b733f0b30a75661b9ad564109507e3b723d669c20d0127ebdd1693413a421562a1c400f243084d55b0ddb78104907e42e450642eff8fd1c
Homepage: https://cran.r-project.org/package=autoCovariateSelection
Description: CRAN Package 'autoCovariateSelection' (Automated Covariate Selection Using HDPS Algorithm)
 Contains functions to implement automated covariate selection using methods
 described in the high-dimensional propensity score (HDPS) algorithm by
 Schneeweiss et.al. Covariate adjustment in real-world-observational-data
 (RWD) is important for for estimating adjusted outcomes and this can be done
 by using methods such as, but not limited to, propensity score matching,
 propensity score weighting and regression analysis. While these methods
 strive to statistically adjust for confounding, the major challenge is in
 selecting the potential covariates that can bias the outcomes comparison
 estimates in observational RWD (Real-World-Data). This is where the utility
 of automated covariate selection comes in.  The functions in this package
 help to implement the three major steps of automated covariate selection as
 described by Schneeweiss et. al elsewhere. These three functions, in order
 of the steps required to execute automated covariate selection are,
 get_candidate_covariates(), get_recurrence_covariates() and
 get_prioritised_covariates().  In addition to these functions, a sample
 real-world-data from publicly available de-identified medical claims data is
 also available for running examples and also for further exploration. The
 original article where the algorithm is described by Schneeweiss et.al.
 (2009) <doi:10.1097/EDE.0b013e3181a663cc> .

Package: r-cran-autodb
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3622
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rlang, r-cran-spelling, r-cran-diagrammer, r-cran-testthat, r-cran-r.utils, r-cran-hedgehog, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autodb_3.0.0-1.ca2004.1_all.deb
Size: 1180860
MD5sum: 07f2bd5c6654c7ec2d2b348282c422db
SHA1: 706e6445edde26c368dda7d607bc24487809e90a
SHA256: c7c56bf86f21430143fb7f33ce12a837614c7f70998f3ba2c6687e06865e3096
SHA512: 123dc32757e6e334781f21b27489e74156607c888c23bee9ecc3e9a507b5c6c474ef080504e49070d047f67386163e2ede23f78f9cc9b2ef68663e977a03f475
Homepage: https://cran.r-project.org/package=autodb
Description: CRAN Package 'autodb' (Automatic Database Normalisation for Data Frames)
 Automatic normalisation of a data frame to third normal form, with the
 intention of easing the process of data cleaning. (Usage to design your
 actual database for you is not advised.)  Originally inspired by the
 'AutoNormalize' library for 'Python' by 'Alteryx'
 (<https://github.com/alteryx/autonormalize>), with various changes and
 improvements. Automatic discovery of functional or approximate dependencies,
 normalisation based on those, and plotting of the resulting "database" via
 'Graphviz', with options to exclude some attributes at discovery time, or
 remove discovered dependencies at normalisation time.

Package: r-cran-autodeskr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3508
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autodeskr_0.1.5-1.ca2004.1_all.deb
Size: 2359928
MD5sum: 3adb21afb32c736ff7f54ae572ee9331
SHA1: 32ecc6194e77170cf689e69e60ef69b641dc9664
SHA256: a21eeb672be1bff8b336ebaf5ef085bba3dd189a10a54076b39f2731f57fdce4
SHA512: 082d800dfd5f6f6bd3ed5a1b2d89612ea09d2cca37093f089c35abe0e7370a926e15c859006f884bdb10078b000d5a5cae17f2c0f50048b2a34348500134ba96
Homepage: https://cran.r-project.org/package=AutoDeskR
Description: CRAN Package 'AutoDeskR' (An Interface to the 'AutoDesk' 'API' Platform)
 An interface to the 'AutoDesk' 'API' Platform including the Authentication
 'API' for obtaining authentication to the 'AutoDesk' Forge Platform, Data
 Management 'API' for managing data across the platform's cloud services,
 Design Automation 'API' for performing automated tasks on design files in
 the cloud, Model Derivative 'API' for translating design files into
 different formats, sending them to the viewer app, and extracting design
 data, and Viewer for rendering 2D and 3D models.

Package: r-cran-autoencoder
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3913
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-autoencoder_1.1-1.ca2004.1_all.deb
Size: 3975068
MD5sum: 761bf885ba1b55ecc577de558e16f09b
SHA1: 476c8cea8828e2bb6f884617dff55269b6d9bdb2
SHA256: 1d2b7c51b93517690b3269a72e46f89aa8de0293c89cbbc9eb9e8eccd3dc2317
SHA512: 21b4d3ccf2e923df76b58230549be2fee4293e6c910c34ca64815e8b6d6884e6a53bd99f0a01159265ff4cf64e5aee894629526e5d08ce9c506b31e429adf9f9
Homepage: https://cran.r-project.org/package=autoencoder
Description: CRAN Package 'autoencoder' (Sparse Autoencoder for Automatic Learning of RepresentativeFeatures from Unlabeled Data)
 Implementation of the sparse autoencoder in R environment, following the
 notes of Andrew Ng
 (http://www.stanford.edu/class/archive/cs/cs294a/cs294a.1104/sparseAutoencoder.pdf).
 The features learned by the hidden layer of the autoencoder (through
 unsupervised learning of unlabeled data) can be used in constructing deep
 belief neural networks.

Package: r-cran-autoensemble
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-h2o, r-cran-h2otools, r-cran-curl
Filename: pool/dists/focal/main/r-cran-autoensemble_0.3-1.ca2004.1_all.deb
Size: 256792
MD5sum: 1910678655113d904fab836e9e0f0679
SHA1: 27c273535e3f3e447153d46706532d0a5684c288
SHA256: 10ba4040e33dd518c9b051cd113a4c5002833d5b27ebc005ea0681620788bea5
SHA512: 39471cc2cda2852fe6abe93bbe236ef84785479ecfb53ce85466b03d74846a1697cb1f0701bd4afe4c82450490fec0f931bbdf925303a58fc879619dca53233d
Homepage: https://cran.r-project.org/package=autoEnsemble
Description: CRAN Package 'autoEnsemble' (Automated Stacked Ensemble Classifier for Severe Class Imbalance)
 A stacking solution for modeling imbalanced and severely skewed data. It
 automates the process of building homogeneous or heterogeneous stacked
 ensemble models by selecting "best" models according to different criteria.
 In doing so, it strategically searches for and selects diverse,
 high-performing base-learners to construct ensemble models optimized for
 skewed data. This package is particularly useful for addressing class
 imbalance in datasets, ensuring robust and effective model outcomes through
 advanced ensemble strategies which aim to stabilize the model, reduce its
 overfitting, and further improve its generalizability.

Package: r-cran-autofc
Architecture: all
Version: 0.2.0.1002-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-irrcac, r-cran-lavaan, r-cran-mass, r-cran-simdesign, r-cran-thurstonianirt, r-cran-mplusautomation, r-cran-glue, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autofc_0.2.0.1002-1.ca2004.1_all.deb
Size: 153232
MD5sum: f91a072c5e91deb67bc276893299b17d
SHA1: 7f3b0489350861250c8e630da48c52a7fd586dc4
SHA256: cae527461cc79ac7efbe39b77ba2343bb341a65dac68fbcc4b97ceb07b92f00f
SHA512: 4c264aad9bf36ddce453b6d627198a227382b23cc7a5c34bab247bf09caf6b7824d07fe241bda47edd8249e8bc91c1abfd947b95e4d2d8651c3bf0a6484bfae5
Homepage: https://cran.r-project.org/package=autoFC
Description: CRAN Package 'autoFC' (Automatic Construction of Forced-Choice Tests)
 Forced-choice (FC) response has gained increasing popularity and interest
 for its resistance to faking when well-designed (Cao & Drasgow, 2019
 <doi:10.1037/apl0000414>). To established well-designed FC scales, typically
 each item within a block should measure different trait and have similar
 level of social desirability (Zhang et al., 2020
 <doi:10.1177/1094428119836486>). Recent study also suggests the importance
 of high inter-item agreement of social desirability between items within a
 block (Pavlov et al., 2021 <doi:10.31234/osf.io/hmnrc>).  In addition to
 this, FC developers may also need to maximize factor loading differences
 (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) or minimize
 item location differences (Cao & Drasgow, 2019 <doi:10.1037/apl0000414>)
 depending on scoring models. Decision of which items should be assigned to
 the same block, termed item pairing, is thus critical to the quality of an
 FC test. This pairing process is essentially an optimization process which
 is currently carried out manually. However, given that we often need to
 simultaneously meet multiple objectives, manual pairing becomes impractical
 or even not feasible once the number of latent traits and/or number of items
 per trait are relatively large. To address these problems, autoFC is
 developed as a practical tool for facilitating the automatic construction of
 FC tests (Li et al., 2022 <doi:10.1177/01466216211051726>), essentially
 exempting users from the burden of manual item pairing and reducing the
 computational costs and biases induced by simple ranking methods.  Given
 characteristics of each item (and item responses), FC measures can be
 constructed either automatically based on user-defined pairing criteria and
 weights, or based on exact specifications of each block (i.e., blueprint;
 see Li et al., 2024 <doi:10.1177/10944281241229784>). Users can also
 generate simulated responses based on the Thurstonian Item Response Theory
 model (Brown & Maydeu-Olivares, 2011 <doi:10.1177/0013164410375112>) and
 predict trait scores of simulated/actual respondents based on an estimated
 model.

Package: r-cran-autogam
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-mgcv, r-cran-purrr, r-cran-rlang, r-cran-staccuracy, r-cran-stringr, r-cran-univariateml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autogam_0.1.0-1.ca2004.1_all.deb
Size: 113196
MD5sum: e96feef8edf79dbb9605174e126e9677
SHA1: 2299464c365e63a1a2452d4f5fd227787449289e
SHA256: 530549ab1b19789d23986a588afd63f5af41ce48632b951f40b302c306da8248
SHA512: 33f2d58878bab9d9d483d39b6f61d102e42b2c3741c3529fb2aa7e65ab3211252725176573bb737d98faa0b2c51023ed76e97b7680577133ebcfd9df1e95d446
Homepage: https://cran.r-project.org/package=autogam
Description: CRAN Package 'autogam' (Automate the Creation of Generalized Additive Models (GAMs))
 This wrapper package for 'mgcv' makes it easier to create high-performing
 Generalized Additive Models (GAMs). With its central function autogam(), by
 entering just a dataset and the name of the outcome column as inputs,
 'AutoGAM' tries to automate the procedure of configuring a highly accurate
 GAM which performs at reasonably high speed, even for large datasets.

Package: r-cran-autogo
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6014
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-ape, r-bioc-complexheatmap, r-bioc-deseq2, r-cran-dichromat, r-cran-ggplot2, r-cran-ggrepel, r-bioc-gsva, r-cran-imgur, r-cran-msigdbr, r-cran-openxlsx, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-stringr, r-bioc-summarizedexperiment, r-cran-textshape, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rlang, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autogo_1.0.1-1.ca2004.1_all.deb
Size: 4489268
MD5sum: 6b1739b83c680c99cb1bdb9bbef50ed1
SHA1: 667b0a74304822b2d053492e1f08ee8e69a16342
SHA256: 68650ec70b6da710cfc2a3f453473c566fb8ab4b952c9aaa4e1000d0978f89f6
SHA512: 96dac49f578bcc7b53a32f14c9782747d944272e24132387bd250d40a806eec13346fd1bed9ebc0680b40aafc0241780d463bba13bfbd79f77bf620efbe99b15
Homepage: https://cran.r-project.org/package=autoGO
Description: CRAN Package 'autoGO' (Auto-GO: Reproducible, Robust and High Quality OntologyEnrichment Visualizations)
 Auto-GO is a framework that enables automated, high quality Gene Ontology
 enrichment analysis visualizations. It also features a handy wrapper for
 Differential Expression analysis around the 'DESeq2' package described in
 Love et al. (2014) <doi:10.1186/s13059-014-0550-8>. The whole framework is
 structured in different, independent functions, in order to let the user
 decide which steps of the analysis to perform and which plot to produce.

Package: r-cran-autoharp
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-rlang, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-pryr, r-cran-shiny, r-cran-lintr, r-cran-igraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autoharp_0.0.12-1.ca2004.1_all.deb
Size: 387532
MD5sum: 4470b62778821bf70b07a467d776b424
SHA1: 82feb48e95d8395ee2ef9e3391d8dcba1d305177
SHA256: 164b2ab6be3dcd110242993c72c740dde45f6976a0f9f4adc628e70d84dd4146
SHA512: e44c2b2f25c97e5eb89d99c624206e2299abbae46ab84f2cdd585299a22c3521a5c2336be05941be01e35979d294c78969c0f04e7b1dbfa2ac64eaa6f89e1433
Homepage: https://cran.r-project.org/package=autoharp
Description: CRAN Package 'autoharp' (Semi-Automatic Grading of R and Rmd Scripts)
 A customisable set of tools for assessing and grading R or R-markdown
 scripts from students. It allows for checking correctness of code output,
 runtime statistics and static code analysis. The latter feature is made
 possible by representing R expressions using a tree structure.

Package: r-cran-autohrf
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2898
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-gtools, r-cran-lubridate, r-cran-magrittr, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autohrf_1.1.3-1.ca2004.1_all.deb
Size: 1899064
MD5sum: 16c35abd13bb278f1210bc6d901e8b22
SHA1: 0298307375e0ef9c83d9ac44ffcdad5cc14e6f9e
SHA256: b086420a30d63e239faa2287dea14b6fdb6b4f53cde89388734974b6c26200f2
SHA512: 496d446a8690a7d8f26d47ea58c28521eeaf9e9d6239de352d27179be6539e36d624d4953d746a99137d74c782c37848d364bb64befbbc964671d23314d37ef6
Homepage: https://cran.r-project.org/package=autohrf
Description: CRAN Package 'autohrf' (Automated Generation of Data-Informed GLM Models in Task-BasedfMRI Data Analysis)
 Analysis of task-related functional magnetic resonance imaging (fMRI)
 activity at the level of individual participants is commonly based on
 general linear modelling (GLM) that allows us to estimate to what extent the
 blood oxygenation level dependent (BOLD) signal can be explained by task
 response predictors specified in the GLM model. The predictors are
 constructed by convolving the hypothesised timecourse of neural activity
 with an assumed hemodynamic response function (HRF). To get valid and
 precise estimates of task response, it is important to construct a model of
 neural activity that best matches actual neuronal activity. The construction
 of models is most often driven by predefined assumptions on the components
 of brain activity and their duration based on the task design and specific
 aims of the study. However, our assumptions about the onset and duration of
 component processes might be wrong and can also differ across brain regions.
 This can result in inappropriate or suboptimal models, bad fitting of the
 model to the actual data and invalid estimations of brain activity. Here we
 present an approach in which theoretically driven models of task response
 are used to define constraints based on which the final model is derived
 computationally using the actual data. Specifically, we developed 'autohrf'
 — a package for the 'R' programming language that allows for data-driven
 estimation of HRF models. The package uses genetic algorithms to efficiently
 search for models that fit the underlying data well. The package uses
 automated parameter search to find the onset and duration of task predictors
 which result in the highest fitness of the resulting GLM based on the fMRI
 signal under predefined restrictions. We evaluate the usefulness of the
 'autohrf' package on publicly available datasets of task-related fMRI
 activity. Our results suggest that by using 'autohrf' users can find better
 task related brain activity models in a quick and efficient manner.

Package: r-cran-autoimage
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2740
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-fields, r-cran-mapproj, r-cran-ggplot2, r-cran-maps, r-cran-mba
Suggests: r-cran-abind, r-cran-testthat, r-cran-spatstat.geom, r-cran-gear, r-cran-broom, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autoimage_2.2.3-1.ca2004.1_all.deb
Size: 2182748
MD5sum: 835992cf48793ece2ca5360538235e22
SHA1: a912091605ff353c125f236cb4bf5209fe808948
SHA256: e6db8ce2e692326fd38e571f1d793859582549f8216f829308e23f5454cfdf53
SHA512: af70b56628f1ae1ce93ee92fc1f8ea506a6fb1650ae2f3723771f7dd490cb6ff20d279917fa49f5dc7bf3e7badcc04f7808ea2e8caebf42a4a052509e67d6f8b
Homepage: https://cran.r-project.org/package=autoimage
Description: CRAN Package 'autoimage' (Multiple Heat Maps for Projected Coordinates)
 Functions for displaying multiple images or scatterplots with a color scale,
 i.e., heat maps, possibly with projected coordinates.  The package relies on
 the base graphics system, so graphics are rendered rapidly.

Package: r-cran-autoimport
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-diffviewer, r-cran-digest, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-shiny, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-callr, r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-pkgload, r-cran-rstudioapi, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-autoimport_0.1.1-1.ca2004.1_all.deb
Size: 229956
MD5sum: 49bfccccfbde35b6935e25f9466c4e00
SHA1: e523c844da802380a8c9d86481c32b8c70759186
SHA256: 767448d3dfa9c4be1236d3762cc6598ec5952dd47a1c319382bd27c239ed4741
SHA512: ef967844446aed97b1dcaacf6339e27b7287e8dca5b79b5b6adf7aa01d88fdfe3533e5a50806c25c5d7a1c5d1e6125866e4b9f93fe03fe67abc6966cffe883fc
Homepage: https://cran.r-project.org/package=autoimport
Description: CRAN Package 'autoimport' (Automatic Generation of @importFrom Tags)
 A toolbox to read all R files inside a package and automatically generate
 @importFrom 'roxygen2' tags in the right place.  Includes a 'shiny'
 application to review the changes before applying them.

Package: r-cran-autokeras
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keras, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-autokeras_1.0.12-1.ca2004.1_all.deb
Size: 62204
MD5sum: 9f1871a8e4c0674d6aac95a11eea5534
SHA1: 361399bf2c6f83005adec76d3e81c4b61f89f639
SHA256: 4ddb732353166bc9db11bfea6ce6010acb6f199dc75d0c1eebda47530667763b
SHA512: 449df86a38c716f1103d94e04372f9ea917c3a33716193240260a8f56af2b56a0fb611efe697bc29c0db3f3148dcbfa8d7215db28c6faab882739abb151a6f5f
Homepage: https://cran.r-project.org/package=autokeras
Description: CRAN Package 'autokeras' (R Interface to 'AutoKeras')
 R Interface to 'AutoKeras' <https://autokeras.com/>.  'AutoKeras' is an open
 source software library for Automated Machine Learning (AutoML). The
 ultimate goal of AutoML is to provide easily accessible deep learning tools
 to domain experts with limited data science or machine learning background.
 'AutoKeras' provides functions to automatically search for architecture and
 hyperparameters of deep learning models.

Package: r-cran-automagic
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-formatr, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-remotes, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-automagic_0.5.1-1.ca2004.1_all.deb
Size: 30300
MD5sum: 636cd7bb7d0489d1980dbac6d3f4299f
SHA1: 4d6094ae5e8f3007b99a4eb967f90e9f9bc422db
SHA256: e8cc619026e675053a087758f48a7e77214a2486767112854e98073bb9a26510
SHA512: 8d1e8200f946c5bcf75b76aecb512530b4fddef8ffceb12adcf1566073e68e6fbf4f5c68accf202c0832b73a6442827cfe7986559be688f7ccacd2b32741358e
Homepage: https://cran.r-project.org/package=automagic
Description: CRAN Package 'automagic' (Automagically Document and Install Packages Necessary to Run RCode)
 Parse R code in a given directory for R packages and attempt to install them
 from CRAN or GitHub. Optionally use a dependencies file for tighter control
 over which package versions to install.

Package: r-cran-automap
Architecture: all
Version: 1.1-16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gstat, r-cran-lattice, r-cran-reshape, r-cran-ggplot2, r-cran-sp, r-cran-sf, r-cran-stars
Filename: pool/dists/focal/main/r-cran-automap_1.1-16-1.ca2004.1_all.deb
Size: 90348
MD5sum: 9aed38d0d33e61377dcbffc0eb1a0977
SHA1: 5412b6e5afd33b458d93089e598fc26d85df06a8
SHA256: f903bfe5808d2374d80ed18be121a9c7c566961aa2c4525e0d54f20c140265a3
SHA512: dcc8351f07f84319404cbb7754e7b4d13b44f1ce4b244ec1d4e4e22c9790224e4df3aa93ab93decb70c094915003415e2d540a2382353c3a31a6150a379ee922
Homepage: https://cran.r-project.org/package=automap
Description: CRAN Package 'automap' (Automatic Interpolation Package)
 An automatic interpolation is done by automatically estimating the variogram
 and then calling gstat. An overview is given by Hiemstra et al (2008)
 <doi:10.1016/j.cageo.2008.10.011>.

Package: r-cran-automatedtests
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1842
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-nnet, r-cran-nortest, r-cran-desctools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-automatedtests_0.1.2-1.ca2004.1_all.deb
Size: 1184556
MD5sum: 5ede3761691ebaecd352c963ad93d379
SHA1: 217ad4817fa5a0c2c9e269175a9207b89aca1c73
SHA256: 415b8e0c813adb40d80a1a366fed36ff72cdd30bab0a5807c93a7b2c55bce6e7
SHA512: 30df98413e9113587d87221cf5e2e1b81a416211691c185958a5a59eddb777fc525bab8a628d559fb18965ce12dc3ba19037140b9fca1ceacf6df8c0b412a90d
Homepage: https://cran.r-project.org/package=automatedtests
Description: CRAN Package 'automatedtests' (Automating Choosing Statistical Tests)
 Automatically selects and runs the most appropriate statistical test for
 your data, returning clear, easy-to-read results. Ideal for all experience
 levels.

Package: r-cran-automfa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-mass, r-cran-matrix, r-cran-rfast, r-cran-expm, r-cran-rdpack, r-cran-pracma, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-automfa_1.0.0-1.ca2004.1_all.deb
Size: 268212
MD5sum: 89558ee486730ec7f743344bbb47423c
SHA1: 02d0077ab30b8d713bcdab3c49ea44b63c2945d3
SHA256: 9c273aa79af30cd546309704f43fd1af6c93edc0e4e1ec098f1eaf2d16c81a08
SHA512: edb559182a113cea362eb915222b05ad056816fee2ac21fd52f3a78e4866904ce97b24dabc9c79461f778211299fb96597af3b9737d3483a0efd2593cb10f41d
Homepage: https://cran.r-project.org/package=autoMFA
Description: CRAN Package 'autoMFA' (Algorithms for Automatically Fitting MFA Models)
 Provides methods for fitting the Mixture of Factor Analyzers (MFA) model
 automatically.  The MFA model is a mixture model where each sub-population
 is assumed to follow the Factor Analysis model. The Factor Analysis (FA)
 model is a latent variable model which assumes that observations are
 normally distributed, but imposes constraints on their covariance matrix.
 The MFA model contains two hyperparameters; g (the number of components in
 the mixture) and q (the number of factors in each component Factor Analysis
 model). Usually, the Expectation-Maximisation algorithm would be used to fit
 the MFA model, but this requires g and q to be known. This package treats g
 and q as unknowns and provides several methods which infer these values with
 as little input from the user as possible.

Package: r-cran-automl
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-automl_1.3.2-1.ca2004.1_all.deb
Size: 420056
MD5sum: 8e9082126d5bfd66c22260ec22d5de4b
SHA1: 1a8e8d70e010146ec689df857976157d995e5458
SHA256: 5bca659de85a0b8c3a05ff9becc54e4e5192572151e572c399acafe2697d758c
SHA512: 8bea89f18efe4a66985e193f4f281ec1d0c8d404593269c8379df6c9ebe92aa2fc15e9dda22012203bbf7988de72895bf14cab441a182d4e7cca1b308f700d79
Homepage: https://cran.r-project.org/package=automl
Description: CRAN Package 'automl' (Deep Learning with Metaheuristic)
 Fits from simple regression to highly customizable deep neural networks
 either with gradient descent or metaheuristic, using automatic hyper
 parameters tuning and custom cost function.  A mix inspired by the common
 tricks on Deep Learning and Particle Swarm Optimization.

Package: r-cran-automrp
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-lme4, r-cran-gbm, r-cran-e1071, r-cran-tibble, r-cran-glmmlasso, r-cran-ebmaforecast, r-cran-foreach, r-cran-doparallel, r-cran-dorng, r-cran-ggplot2, r-cran-knitr, r-cran-tidyr, r-cran-purrr, r-cran-forcats, r-cran-vglmer, r-cran-stringr
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-automrp_1.0.6-1.ca2004.1_all.deb
Size: 667200
MD5sum: d2c26ca453c0d2d611c448b256a314ba
SHA1: ad6c54d8a9f795dbee8cc429049d2f454e31e2e3
SHA256: 0279067b192d23d5ace905dfebb6da1cf792aa830b031023e698165fcf490636
SHA512: 62be411cd888781ac4084043faa89de90e55ce740352302501598d7f1da0a0d59ac2734723196597174ecab3f739c1e88c366c20c86d40a73976d5f91ec39227
Homepage: https://cran.r-project.org/package=autoMrP
Description: CRAN Package 'autoMrP' (Improving MrP with Ensemble Learning)
 A tool that improves the prediction performance of multilevel regression
 with post-stratification (MrP) by combining a number of machine learning
 methods. For information on the method, please refer to Broniecki, Wüest,
 Leemann (2020) ''Improving Multilevel Regression with Post-Stratification
 Through Machine Learning (autoMrP)'' in the 'Journal of Politics'. Final
 pre-print version:
 <https://lucasleemann.files.wordpress.com/2020/07/automrp-r2pa.pdf>.

Package: r-cran-autonewsmd
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-quarto, r-cran-r6
Suggests: r-cran-git2r, r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autonewsmd_0.0.9-1.ca2004.1_all.deb
Size: 76984
MD5sum: fe287453eb3df5ebf0c9c53efd81b897
SHA1: 87b8ed08ce5631466a07134ab85225dd12f67fd7
SHA256: 64d5031616f54decc0a14b1aff4afc9da25ddefaeb6ce2f93240fa8d0510cf14
SHA512: 0fd1e6b0699fe2f0ed4d0510392a9882d9e0fa5061c7861916638b1a49870804bc278d46cb1b9d4d10b66e993ff09db7b7cd51fddc97b7adfd3bf65eaabc22a9
Homepage: https://cran.r-project.org/package=autonewsmd
Description: CRAN Package 'autonewsmd' (Auto-Generate Changelog using Conventional Commits)
 Automatically generate a changelog file (NEWS.md / CHANGELOG.md) from the
 git history using conventional commit messages
 (<https://www.conventionalcommits.org/en/v1.0.0/>).

Package: r-cran-autopipe
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-org.hs.eg.db, r-bioc-clusterprofiler, r-cran-msigdbr
Filename: pool/dists/focal/main/r-cran-autopipe_0.1.6-1.ca2004.1_all.deb
Size: 156936
MD5sum: 586f2c4a6312ff18d6332ef66e38db9f
SHA1: 73939218d3e65cf5916774f12755ca5c57e0b486
SHA256: d4c14edded019d9da2046e9b648fd5daced95bb4941cbb1d26c28cb476c5a06f
SHA512: 2e247c365e66b096d7ba692ec808944128e5a9fb8941c03ad314e9d78f11cd38717013e89ffa141b87078ecc91ebf68314c4be7c026100585d017886ff00e8af
Homepage: https://cran.r-project.org/package=AutoPipe
Description: CRAN Package 'AutoPipe' (Automated Transcriptome Classifier Pipeline: ComprehensiveTranscriptome Analysis)
 An unsupervised fully-automated pipeline for transcriptome analysis or a
 supervised option to identify characteristic genes from predefined
 subclasses.  We rely on the 'pamr'
 <http://www.bioconductor.org/packages//2.7/bioc/html/pamr.html> clustering
 algorithm to cluster the Data and then draw a heatmap of the clusters with
 the most significant genes and the least significant genes according to the
 'pamr' algorithm. This way we get easy to grasp heatmaps that show us for
 each cluster which are the clusters most defining genes.

Package: r-cran-autoplotly
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-ggfortify
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-autoplotly_0.1.4-1.ca2004.1_all.deb
Size: 25312
MD5sum: e88b9fcca3b812343b385b71e6373928
SHA1: 7c183f9d64e1dc6d8ac230a9ef485b1cabe8ca2a
SHA256: 1b0506494fcf2d4fae056a6e72ea60890ea2d8a41278386b6d7f1609d40c5c40
SHA512: dd513efa325f3112f685e9a8ffaa744030f44f2910ef033e1d59937a60edfaba32553d0f0d3b73d7adf74af04d3013963a3bd21a626c229f3252ce9020d54d6a
Homepage: https://cran.r-project.org/package=autoplotly
Description: CRAN Package 'autoplotly' (Automatic Generation of Interactive Visualizations forStatistical Results)
 Functionalities to automatically generate interactive visualizations for
 statistical results supported by 'ggfortify', such as time series, PCA,
 clustering and survival analysis, with 'plotly.js' <https://plotly.com/> and
 'ggplot2' style. The generated visualizations can also be easily extended
 using 'ggplot2' and 'plotly' syntax while staying interactive.

Package: r-cran-autoplotprotein
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-plyr, r-cran-plotrix, r-cran-seqinr, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-autoplotprotein_1.1-1.ca2004.1_all.deb
Size: 82876
MD5sum: b30156846e9326eddec830fea4537b1b
SHA1: ee6213e56d68808a9d967cd04108b1187b057fd9
SHA256: 62308b7b1130d114093f236690af2a95e57435375f757e3fffd10a880387eb22
SHA512: 1b0a8c36ff788d5719a898739377e8ca6c4b477eb04059fb5f028709123131d5c3f57fafc05b1fe60358007cd1611928c1f2e250c0cee61723ec9609b7bab286
Homepage: https://cran.r-project.org/package=Autoplotprotein
Description: CRAN Package 'Autoplotprotein' (Development of Visualization Tools for Protein Sequence)
 The image of the amino acid transform on the protein level is drawn, and the
 automatic routing of the functional elements such as the domain and the
 mutation site is completed.

Package: r-cran-autoplots
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4028
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-combinat, r-cran-data.table, r-cran-dplyr, r-cran-e1071, r-cran-echarts4r, r-cran-lubridate, r-cran-nortest, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-scales
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-autoplots_1.0.0-1.ca2004.1_all.deb
Size: 3794204
MD5sum: 867b9e2360188fff4a6ff77509ffb310
SHA1: c8520c779ffeb672c1c064163e2cfd89cdfe5ba0
SHA256: 662177d767474243ee38cd7274e61fc036a577923dc8cfd82c73b3ddb058c7dc
SHA512: b404bbc6da754ccd53b744631a42e7f4b00eb40f4a9786be172c02620551cc794d745b386c381d979992e3221dd1f793b1a54a9fbecb68bc1d1846f3e3e0afd8
Homepage: https://cran.r-project.org/package=AutoPlots
Description: CRAN Package 'AutoPlots' (Creating Echarts Visualizations as Easy as Possible)
 Create beautiful and interactive visualizations in a single function call.
 The 'data.table' package is utilized to perform the data wrangling necessary
 to prepare your data for the plot types you wish to build, along with
 allowing fast processing for big data. There are two broad classes of plots
 available: standard plots and machine learning evaluation plots. There are
 lots of parameters available in each plot type function for customizing the
 plots (such as faceting) and data wrangling (such as variable
 transformations and aggregation).

Package: r-cran-autoreg
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3664
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-moonbook, r-cran-nortest, r-cran-dplyr, r-cran-crayon, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-survival, r-cran-mice, r-cran-officer, r-cran-flextable, r-cran-rlang, r-cran-patchwork, r-cran-ggplot2, r-cran-boot, r-cran-broom, r-cran-tidycmprsk, r-cran-scales, r-cran-maxstat, r-cran-pammtools
Suggests: r-cran-knitr, r-cran-finalfit, r-cran-lme4, r-cran-th.data, r-cran-rmarkdown, r-cran-survminer, r-cran-asaur, r-cran-cmprsk, r-cran-paireddata
Filename: pool/dists/focal/main/r-cran-autoreg_0.3.3-1.ca2004.1_all.deb
Size: 2430340
MD5sum: 6df37ce16308f009c8bd784c1d3a8c28
SHA1: 90a98f56956e05f7ae63f6f0f87081cf6899403b
SHA256: d9ecad9da38ba5ad3f9895f44491b7c35b321fe98f659adf7fe53c64b9d9a44c
SHA512: d2c797e16edc9cff6ad8e0221ba15d744989877da6bf3315aa517b972379a83c9353bd0fc0bae75c2c6bc9cef4695eb8a025bf89a3354c660e76358ff36455af
Homepage: https://cran.r-project.org/package=autoReg
Description: CRAN Package 'autoReg' (Automatic Linear and Logistic Regression and Survival Analysis)
 Make summary tables for descriptive statistics and select explanatory
 variables automatically in various regression models. Support linear models,
 generalized linear models and cox-proportional hazard models. Generate
 publication-ready tables summarizing result of regression analysis and
 plots. The tables and plots can be exported in "HTML", "pdf('LaTex')",
 "docx('MS Word')" and "pptx('MS Powerpoint')" documents.

Package: r-cran-autoregressionmde
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-autoregressionmde_1.0-1.ca2004.1_all.deb
Size: 18552
MD5sum: 6089a79ddbf5ca4c6f8333b98b34e35a
SHA1: 458bbf50e7a17ba6577cc8b99290581cb1144e0a
SHA256: 9b8dd11971d51291e296c84f7ff63be58aed485cae9ea9e302a1af52794542a7
SHA512: 91dba61fd8ebd555eba4837f28e33818935dfb79e8d7ed693155026add869c751f81d6537dc4ac1069f07b5fcb4783e7c19a7941e796b521007fd20a55c7e4bd
Homepage: https://cran.r-project.org/package=AutoregressionMDE
Description: CRAN Package 'AutoregressionMDE' (Minimum Distance Estimation in Autoregressive Model)
 Consider autoregressive model of order p where the distribution function of
 innovation is unknown, but innovations are independent and symmetrically
 distributed. The package contains a function named ARMDE which takes X
 (vector of n observations) and p (order of the model) as input argument and
 returns minimum distance estimator of the parameters in the model.

Package: r-cran-autoscore
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2521
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tableone, r-cran-proc, r-cran-randomforest, r-cran-ggplot2, r-cran-knitr, r-cran-hmisc, r-cran-car, r-cran-coxed, r-cran-dplyr, r-cran-ordinal, r-cran-survival, r-cran-tidyr, r-cran-plotly, r-cran-magrittr, r-cran-randomforestsrc, r-cran-rlang, r-cran-survauc, r-cran-survminer
Suggests: r-cran-rpart, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autoscore_1.0.0-1.ca2004.1_all.deb
Size: 1946696
MD5sum: 144d63d9979c5cd99d5094e39e331fcc
SHA1: 1b2777e40e84d051ec4e20eb2e042fcd53b9a8e6
SHA256: 86a2f2620641fa5165dce999cc13054acda260aaf93ab6613f8e5bfd80c274b6
SHA512: e1e2a08f0ee37fbe02e212b2a22ed70c831efe0035fee1808ca3ca171ad81832ae820c6357a98c9b24a42748416468aeffe671ac9f0ad20c66d9df19d75fab4f
Homepage: https://cran.r-project.org/package=AutoScore
Description: CRAN Package 'AutoScore' (An Interpretable Machine Learning-Based Automatic Clinical ScoreGenerator)
 A novel interpretable machine learning-based framework to automate the
 development of a clinical scoring model for predefined outcomes. Our novel
 framework consists of six modules: variable ranking with machine learning,
 variable transformation, score derivation, model selection, domain
 knowledge-based score fine-tuning, and performance evaluation.The The
 original AutoScore structure is described in the research
 paper<doi:10.2196/21798>. A full tutorial can be found
 here<https://nliulab.github.io/AutoScore/>. Users or clinicians could
 seamlessly generate parsimonious sparse-score risk models (i.e., risk
 scores), which can be easily implemented and validated in clinical practice.
 We hope to see its application in various medical case studies.

Package: r-cran-autoscorecard
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-infotheo, r-cran-rocr, r-cran-rpart, r-cran-discretization, r-cran-corrplot, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-autoscorecard_0.3.0-1.ca2004.1_all.deb
Size: 695980
MD5sum: 79fd0592e07f841211cb46bbeffbda75
SHA1: cab4bba73bf6fdd0264afca2af2a3e79466d1641
SHA256: 7d1dfda8ea1d09f664287e5b1cf4ebade55349eaa90fa0d8a08e5f5cd0fff19d
SHA512: 5a73c0d5eb52bea2b094221f2aeab61c5c53b61cebd09533b32c18b9d699f3171b68dcaf77db5e3f9eba1ac5a389f69b6e45b801f527138582ed6da50ccf4e65
Homepage: https://cran.r-project.org/package=autoScorecard
Description: CRAN Package 'autoScorecard' (Fully Automatic Generation of Scorecards)
 Provides an efficient suite of R tools for scorecard modeling, analysis, and
 visualization.  Including equal frequency binning, equidistant binning,
 K-means binning, chi-square binning, decision tree binning, data screening,
 manual parameter modeling, fully automatic generation of scorecards, etc.
 This package is designed to make scorecard development easier and faster.
 References include: 1. <http://shichen.name/posts/>.  2. Dong-feng Li(Peking
 University),Class PPT.  3. <https://zhuanlan.zhihu.com/p/389710022>.  4.
 <https://www.zhangshengrong.com/p/281oqR9JNw/>.

Package: r-cran-autosearch
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-lgarch
Filename: pool/dists/focal/main/r-cran-autosearch_1.5-1.ca2004.1_all.deb
Size: 138264
MD5sum: 3adb6335d9c0a6dad15486569a2d8167
SHA1: a37aa3c8e79337570cc69ef7fca2691c6960bfef
SHA256: 471580f440ec425eb0f16e3fbae77e941e6fb8f2aa90264298ce3fac3434d594
SHA512: aacfe1c09f25bf154765585f51a711f0791c6e7395eb98f5564cc2b6169aef0518ac285ca5212963c8347113532223996947d4cbfa5e05f729e58ed98ba3548f
Homepage: https://cran.r-project.org/package=AutoSEARCH
Description: CRAN Package 'AutoSEARCH' (General-to-Specific (GETS) Modelling)
 General-to-Specific (GETS) modelling of the mean and variance of a
 regression. NOTE: The package has been succeeded by gets, also available on
 the CRAN, which is more user-friendly, faster and easier to extend. Users
 are therefore encouraged to consider gets instead.

Package: r-cran-autoseed
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1560
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-autoseed_0.1.0-1.ca2004.1_all.deb
Size: 1550320
MD5sum: ac3716b3f49c772b21e9f4794c0bce43
SHA1: c150ae5c6de02cca224f5e81b0bc0f0f29312410
SHA256: 0a9eb14f4ffd8dce397d8680a4f174fa8007dd41422d8635e8d305aaa7e8bed0
SHA512: 4c67d25802c2179c33d3755b86ef9d9799f98c6d60be8a58faa4be50e7d47c7ce45e800ce0e58009b7fa899234122c700d5916114f861c844e9352ff143e8da9
Homepage: https://cran.r-project.org/package=Autoseed
Description: CRAN Package 'Autoseed' (Retrieve Disease-Related Genes from Public Sources)
 For researchers to quickly and comprehensively acquire disease genes, so as
 to understand the mechanism of disease, we developed this program to acquire
 disease-related genes.  The data is integrated from three public databases.
 The three databases are 'eDGAR', 'DrugBank' and 'MalaCards'. The 'eDGAR' is
 a comprehensive database, containing data on the relationship between
 disease and genes.  'DrugBank' contains information on 13443 drugs and 5157
 targets. 'MalaCards' integrates human disease information, including
 disease-related genes.

Package: r-cran-autoshiny
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny
Suggests: r-cran-roxygen2, r-cran-magrittr, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-autoshiny_0.0.3-1.ca2004.1_all.deb
Size: 40240
MD5sum: 9e2de02d69546b0b9d471c0abdd8ee37
SHA1: 5cc8bb725ae32a7625479da12d0a439ede3d0b9d
SHA256: e5ee5eaac8463994e5432b51223d563d911f1272f937c2e7e26fac8e75dbbb60
SHA512: 582c833800f7a91561d79acf3516272ee6ee5eb0a434c25eda62f6b37ab20900bedafb74430f5f73475b086166ce82cc1fd4412bd3f9b753df48d830bee0b5d8
Homepage: https://cran.r-project.org/package=autoshiny
Description: CRAN Package 'autoshiny' (Automatic Transformation of an 'R' Function into a 'shiny' App)
 Static code compilation of a 'shiny' app given an R function (into 'ui.R'
 and 'server.R' files or into a 'shiny' app object). See examples at
 <https://github.com/alekrutkowski/autoshiny>.

Package: r-cran-autoslider.core
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5217
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-flextable, r-cran-forcats, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-gtsummary, r-cran-officer, r-cran-rlang, r-cran-rlistings, r-cran-rtables, r-cran-rvg, r-cran-stringr, r-cran-survival, r-cran-tern, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-devtools, r-cran-ellmer, r-cran-filters, r-cran-formatters, r-cran-glue, r-cran-htmltools, r-cran-httr, r-cran-knitr, r-cran-lubridate, r-cran-mime, r-cran-nestcolor, r-cran-purrr, r-cran-r.utils, r-cran-reticulate, r-cran-rmarkdown, r-cran-rsvg, r-cran-styler, r-cran-svglite, r-cran-testthat, r-cran-tmb, r-cran-withr
Filename: pool/dists/focal/main/r-cran-autoslider.core_0.2.5-1.ca2004.1_all.deb
Size: 2315216
MD5sum: 0fc23aa9dd7fab9cdeefe7cdfb7defa4
SHA1: a455d8496812d8b15d10c27bcbd52ed99c8b9592
SHA256: 1cd247de0fbd0754a9649f4f32c936128a1c533f8250d67d27aead4ffe235ea9
SHA512: 362272c1e2b0670b9336f12aaa67335b78947b1dc8ffde8b2aaffe9bfbe0292bbc450035f49f164011fd3a747dd1162c7721d3e67a4c3eeadbc60c61c7b2abcf
Homepage: https://cran.r-project.org/package=autoslider.core
Description: CRAN Package 'autoslider.core' (Slide Automation for Tables, Listings and Figures)
 The normal process of creating clinical study slides is that a statistician
 manually type in the numbers from outputs and a separate statistician to
 double check the typed in numbers. This process is time consuming, resource
 intensive, and error prone.  Automatic slide generation is a solution to
 address these issues. It reduces the amount of work and the required time
 when creating slides, and reduces the risk of errors from manually typing or
 copying numbers from the output to slides. It also helps users to avoid
 unnecessary stress when creating large amounts of slide decks in a short
 time window.

Package: r-cran-autostats
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-purrr, r-cran-janitor, r-cran-tibble, r-cran-rlang, r-cran-rlist, r-cran-broom, r-cran-magrittr, r-cran-ggeasy, r-cran-ggplot2, r-cran-jtools, r-cran-gtools, r-cran-ggthemes, r-cran-patchwork, r-cran-tidyr, r-cran-xgboost, r-cran-parsnip, r-cran-recipes, r-cran-rsample, r-cran-tune, r-cran-workflows, r-cran-framecleaner, r-cran-presenter, r-cran-yardstick, r-cran-dials, r-cran-party, r-cran-data.table, r-cran-nnet, r-cran-recosystem, r-cran-ckmeans.1d.dp, r-cran-broom.mixed, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-forcats, r-cran-doparallel, r-cran-hardhat, r-cran-flextable, r-cran-glmnet, r-cran-ggstance, r-cran-matrix, r-cran-bbmisc, r-cran-readr, r-cran-lubridate, r-cran-ranger, r-cran-xicor
Filename: pool/dists/focal/main/r-cran-autostats_0.4.1-1.ca2004.1_all.deb
Size: 334420
MD5sum: ab91b1d9b14640ddaf952813ba7cc106
SHA1: d0b9f547ab7f0ea865ab5be0096664ee52f5a4cd
SHA256: 62865dd1dfac02db375140661b969738d2ba4e8710d1af6592d726c27340fd4b
SHA512: 42cdb7dd247ba9ce8d92fb79f17b7465f3b4c6539b723ee3b2ae6a3976ca50add24301d3f196a6321f156819411b1930a65649597e0b62f59449fd1ffe1e9988
Homepage: https://cran.r-project.org/package=autostats
Description: CRAN Package 'autostats' (Auto Stats)
 Automatically do statistical exploration. Create formulas using 'tidyselect'
 syntax, and then determine cross-validated model accuracy and variable
 contributions using 'glm' and 'xgboost'. Contains additional helper
 functions to create and modify formulas. Has a flagship function to quickly
 determine relationships between categorical and continuous variables in the
 data set.

Package: r-cran-autostepwiseglm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-formula.tools
Filename: pool/dists/focal/main/r-cran-autostepwiseglm_0.2.0-1.ca2004.1_all.deb
Size: 28336
MD5sum: 693aed146c53c043384c896ab2a7b41f
SHA1: d7b2b1fdcf122099b722706004a72f5a6de618dd
SHA256: 1068e38a07eaa50c7ece5a8a8d4fd0790031755c3e8ca56460501534c2a4db20
SHA512: f634016e55ef4b8ba15ecfe20c128d295d1bbae50ff21e38b2f06fdef48b9c67081bc1a814dd2fe9c9fef5224baeb2af57c0658cdb000e804dbada93e2fe9852
Homepage: https://cran.r-project.org/package=AutoStepwiseGLM
Description: CRAN Package 'AutoStepwiseGLM' (Builds Stepwise GLMs via Train and Test Approach)
 Randomly splits data into testing and training sets. Then, uses stepwise
 selection to fit numerous multiple regression models on the training data,
 and tests them on the test data. Returned for each model are plots comparing
 model Akaike Information Criterion (AIC), Pearson correlation coefficient
 (r) between the predicted and actual values, Mean Absolute Error (MAE), and
 R-Squared among the models. Each model is ranked relative to the other
 models by the model evaluation metrics (i.e., AIC, r, MAE, and R-Squared)
 and the model with the best mean ranking among the model evaluation metrics
 is returned. Model evaluation metric weights for AIC, r, MAE, and R-Squared
 are taken in as arguments as aic_wt, r_wt, mae_wt, and r_squ_wt,
 respectively. They are equally weighted as default but may be adjusted
 relative to each other if the user prefers one or more metrics to the
 others, Field, A. (2013, ISBN:978-1-4462-4918-5).

Package: r-cran-autostsm
Architecture: all
Version: 3.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 581
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maxlik, r-cran-forecast, r-cran-lubridate, r-cran-ggplot2, r-cran-gridextra, r-cran-strucchange, r-cran-foreach, r-cran-dosnow, r-cran-lmtest, r-cran-ggrepel, r-cran-progress, r-cran-sandwich, r-cran-data.table, r-cran-kalmanfilter
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autostsm_3.1.5-1.ca2004.1_all.deb
Size: 352320
MD5sum: 0ff53c027fde0724ce05aa33d7edfc70
SHA1: 3c6f26560ee902c4c55dac77b83567acfa400d1c
SHA256: e6596b394ddc30de4e51e34d6eb9196fc5e1c3554956527de7d01e262eeb9c52
SHA512: 153872e8eb1b72b1ed78aea92def3ca2726c8fa06c8c7002eee0d107c3645205a9849fd93201740802f79f15731d29640141628d20102745c326d060f8f643d5
Homepage: https://cran.r-project.org/package=autostsm
Description: CRAN Package 'autostsm' (Automatic Structural Time Series Models)
 Automatic model selection for structural time series decomposition into
 trend, cycle, and seasonal components, plus optionality for structural
 interpolation, using the Kalman filter.  Koopman, Siem Jan and Marius Ooms
 (2012) "Forecasting Economic Time Series Using Unobserved Components Time
 Series Models" <doi:10.1093/oxfordhb/9780195398649.013.0006>.  Kim,
 Chang-Jin and Charles R. Nelson (1999) "State-Space Models with Regime
 Switching: Classical and Gibbs-Sampling Approaches with Applications"
 <doi:10.7551/mitpress/6444.001.0001><http://econ.korea.ac.kr/~cjkim/>.

Package: r-cran-autotransqf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2582
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vgam, r-cran-matlab2r, r-cran-moments
Suggests: r-cran-nortest
Filename: pool/dists/focal/main/r-cran-autotransqf_0.1.3-1.ca2004.1_all.deb
Size: 2594580
MD5sum: 1977b16dc3b0e836c59009d55d95ddc5
SHA1: b43eee7acd1e5874fc5d6f9bd5b06adcce40c531
SHA256: 4d361e7dddf31bb9e194cd038c7ee237f22ff9414798a7aa887c928c75ffd6bd
SHA512: 71df04658dcad026e034029e3a2824a9c40609db9f16b297ef67c5627b7b1918c754b712b7924e6eed3b5201bb24660cc1ce9d64d4be3e5f96d78846b03fa3df
Homepage: https://cran.r-project.org/package=AutoTransQF
Description: CRAN Package 'AutoTransQF' (A Novel Automatic Shifted Log Transformation)
 A novel parametrization of log transformation and a shift parameter to
 automate the transformation process are proposed in R package 'AutoTransQF'
 based on Feng et al. (2016). Please read Feng et al. (2016)
 <doi:10.1002/sta4.104> for more details of the method.

Package: r-cran-autots
Architecture: all
Version: 0.9.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-prophet, r-cran-dplyr, r-cran-magrittr, r-cran-lubridate, r-cran-tidyr, r-cran-forecast, r-cran-ggplot2, r-cran-rcpproll, r-cran-shiny, r-cran-shinycssloaders, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-autots_0.9.11-1.ca2004.1_all.deb
Size: 799340
MD5sum: 10fb1d1ca9e5f37169f989df66502159
SHA1: e67662bf8a57999fd42d46effb7637a231d9abb4
SHA256: 46e4de355568a194cc9d470df195b98631c2488dc619527ec8cd71a0f60fcc76
SHA512: 39f147d4101556743962b3b5fffe6f58b3fe08cfc67296352d9395f58dc6ce89a91232b1789ece37781d7d75aae56d8dce0cb84b55c0adcb23bb372f0d6e8267
Homepage: https://cran.r-project.org/package=autoTS
Description: CRAN Package 'autoTS' (Automatic Model Selection and Prediction for Univariate TimeSeries)
 Offers a set of functions to easily make predictions for univariate time
 series.  'autoTS' is a wrapper of existing functions of the 'forecast' and
 'prophet' packages, harmonising their outputs in tidy dataframes and using
 default values for each.  The core function getBestModel() allows the user
 to effortlessly benchmark seven algorithms along with a bagged estimator to
 identify which one performs the best for a given time series.

Package: r-cran-autovi
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bandicoot, r-cran-ggplot2, r-cran-tibble, r-cran-reticulate, r-cran-cassowaryr, r-cran-cli
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-autovi_0.4.1-1.ca2004.1_all.deb
Size: 315440
MD5sum: 32825600d9279869a783ebb0d007d530
SHA1: 8f60f02a6412d1ab437112c599d6cf55e3c8ae3b
SHA256: 2831f4b47bab96b49a711385fad3e6b12c5773b300ce611a1816368b026a560c
SHA512: f9f598da1d0b7d72676dadc490aa78d9692c2a55705b9550333a8a3bd4c20886e2538a7408df49b48d79a7af726aa19815dc40a56640ca60da700d19373d8409
Homepage: https://cran.r-project.org/package=autovi
Description: CRAN Package 'autovi' (Auto Visual Inference with Computer Vision Models)
 Provides automated visual inference of residual plots using computer vision
 models, facilitating diagnostic checks for classical normal linear
 regression models.

Package: r-cran-autoweatherindices
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hmisc, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-autoweatherindices_0.1.0-1.ca2004.1_all.deb
Size: 14252
MD5sum: 4cc467ad55a23562c19ef49cf6aeaa7b
SHA1: d1c2777a9559ccc3162e1d44630644d022ac735a
SHA256: 6d2c36b3bf38d24c4dcd08ba64487f03b4b0a4c576ace44dbb45e8723a8673f3
SHA512: fb3fc8835cc78ccbe127bde9f2e4fdf3a56d4d4422d4be18a1d108e2b818cca32bd08edf366073608a070e246fe4bf5d6c2b2b75127dc04c63c5b9192fe91acf
Homepage: https://cran.r-project.org/package=AutoWeatherIndices
Description: CRAN Package 'AutoWeatherIndices' (Calculating Weather Indices)
 Weather indices are formed from weather variables in this package. The users
 can input any number of weather variables recorded over any number of weeks.
 This package has no restriction on the number of weeks and weather variables
 to be taken as input.The details of the method can be seen (i)'Joint effects
 of weather variables on rice yields' by R. Agrawal, R. C. Jain and M. P. Jha
 in Mausam, vol. 34, pp. 189-194,
 1983,<doi:10.54302/mausam.v34i2.2392>,(ii)'Improved weather indices based
 Bayesian regression model for forecasting crop yield' by M. Yeasin, K. N.
 Singh, A. Lama and B. Gurung in Mausam, vol. 72, pp.879-886,
 2021,<doi:10.54302/mausam.v72i4.670>.

Package: r-cran-autowmm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2298
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.tree, r-cran-diagrammer, r-cran-dplyr, r-cran-gtools, r-cran-mass, r-cran-rlang, r-cran-magrittr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-autowmm_1.0.2-1.ca2004.1_all.deb
Size: 531416
MD5sum: 21d2b36290cc0d085054093e53ca5672
SHA1: 97c91517f267a8d880663684115882d3a208944d
SHA256: b04343678dd8f77332f8e47d777ce2dbf99011ef83176033f31ded6a8fb8ae71
SHA512: 96d37faa584634dee95cf9212d46f6ab043d587a834c8d41ce27af13aa7dc831c8ec757621b5affe635ec2dd4eafb451195a170af2ebe9af485e909f98f90885
Homepage: https://cran.r-project.org/package=AutoWMM
Description: CRAN Package 'AutoWMM' (Perform the Weighted Multiplier Method on Trees)
 When many possible multiplier method estimates of a target population are
 available, a weighted sum of estimates from each back-calculated path can be
 achieved with this package.  Variance-minimizing weights are used and with
 any admissible tree-structured data.  The methodological basis used to
 create this package can be found in Flynn (2023)
 <http://hdl.handle.net/2429/86174>.

Package: r-cran-auxsurvey
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-rstanarm, r-cran-survey, r-cran-gtools, r-cran-coda, r-cran-bart, r-cran-dplyr, r-cran-stringr, r-cran-gridextra, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-auxsurvey_1.0-1.ca2004.1_all.deb
Size: 93404
MD5sum: eb93530736eb6136096f66e0b594b043
SHA1: fae642a98697950ba1776b66b360bc421e6ba648
SHA256: b03df756cd8dfa1f8a48088d30e3ba94dbe5474e0b895dc7492b3bc3ecd38017
SHA512: a5e82803a469f4843e5fba2d38744fbb62b4401e7ed684a8e3dc2ab3c648fe5fb7f74133a716f767a2cf9b69d193e89f19dff6bf6521b99b4fbc5d604b9a81bd
Homepage: https://cran.r-project.org/package=AuxSurvey
Description: CRAN Package 'AuxSurvey' (Survey Analysis with Auxiliary Discretized Variables)
 Probability surveys often use auxiliary continuous data from administrative
 records, but the utility of this data is diminished when it is discretized
 for confidentiality. We provide a set of survey estimators to make full use
 of information from the discretized variables. See Williams, S.Z., Zou, J.,
 Liu, Y., Si, Y., Galea, S. and Chen, Q. (2024), Improving Survey Inference
 Using Administrative Records Without Releasing Individual-Level Continuous
 Data. Statistics in Medicine, 43: 5803-5813. <doi:10.1002/sim.10270> for
 details.

Package: r-cran-available
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-clisymbols, r-cran-crayon, r-cran-tidytext, r-cran-desc, r-cran-glue, r-cran-jsonlite, r-cran-memoise, r-cran-snowballc, r-cran-stringdist, r-cran-tibble, r-cran-yesno
Suggests: r-cran-usethis, r-cran-biocmanager, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-available_1.1.0-1.ca2004.1_all.deb
Size: 202208
MD5sum: f413297f1d790fb34c8ce68182e3dd20
SHA1: 8b2ea95cb893ff416916b56c7acff2356cb81bc1
SHA256: 91a76016b2ab0377732fb1148e0fa78ffff8c6b675c684276b7220640bae63ce
SHA512: e4a98c93459342f6e2b86f3d3072b9128e38e660ae33ad8487eceab7d7a4f69ab4efce2f9ad8f0be71fe984ba8b565faa6524343005c809154d7502772ff729e
Homepage: https://cran.r-project.org/package=available
Description: CRAN Package 'available' (Check if the Title of a Package is Available, Appropriate andInteresting)
 Check if a given package name is available to use. It checks the name's
 validity. Checks if it is used on 'GitHub', 'CRAN' and 'Bioconductor'.
 Checks for unintended meanings by querying 'Wiktionary' and Wikipedia.

Package: r-cran-averisk
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-averisk_1.0.3-1.ca2004.1_all.deb
Size: 82948
MD5sum: e994de2884561f29d48c36d0bd123e2f
SHA1: c082fbdc9dad93dbbf600c65ed8f9d453ade2bc3
SHA256: 29b0c4925cc466e0ff3eba49da25950db04eef3dfe6b1f5d8f67fba896aef140
SHA512: 56fce922f04af46937fe0f38c16052a33196d8322f32ad2e10b91d19de30dd117e9185558d5161fd26f94a7fb8a48686504429d7d193891b800dfd4904f6fb26
Homepage: https://cran.r-project.org/package=averisk
Description: CRAN Package 'averisk' (Calculation of Average Population Attributable Fractions andConfidence Intervals)
 Average population attributable fractions are calculated for a set of risk
 factors (either binary or ordinal valued) for both prospective and case-
 control designs. Confidence intervals are found by Monte Carlo simulation.
 The method can be applied to either prospective or case control designs,
 provided an estimate of disease prevalence is provided. In addition to an
 exact calculation of AF, an approximate calculation, based on randomly
 sampling permutations has been implemented to ensure the calculation is
 computationally tractable when the number of risk factors is large.

Package: r-cran-avesperu
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-avesperu_0.0.5-1.ca2004.1_all.deb
Size: 277948
MD5sum: 7e839757e19a986d2dcc8c84dc1ccc80
SHA1: cd370b5c8c4961fef6cfa279f6ecb2bfe197a84c
SHA256: 6daa49333a4ea88d409e13444969655b4490a9ee80f786aca3823c769ac4c0e7
SHA512: ed808c7ee0dcf81908c0b16b1dc3f2f6393be082c7faf27ad197f1d46bc68d8bd50f1c98decf5971584c60d12aa2ceba64939a3ca26427b004d33ad1f52a7ed6
Homepage: https://cran.r-project.org/package=avesperu
Description: CRAN Package 'avesperu' (Access to the List of Birds Species of Peru)
 Allows access to the data found in the species list featured in the renowned
 'List of the Birds of Peru' Plenge, M. A. (2023)
 <https://sites.google.com/site/boletinunop/checklist>. This publication
 stands as one of Peru's most comprehensive reviews of bird diversity. The
 dataset incorporates detailed species accounts and has been meticulously
 structured for effortless utilization within the R environment.

Package: r-cran-avfintools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-alphavantager, r-cran-dplyr, r-cran-lubridate, r-cran-plotly, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-avfintools_0.1.0-1.ca2004.1_all.deb
Size: 202544
MD5sum: 8775cae457ecf9d9d86f11035a85644e
SHA1: 8b2deeff128c52fb8076265b5d8323ab2f35d324
SHA256: 0882f108e5d18fb875399d0273710e7cf5439f6dcb221f42be48111e6c3c9ac1
SHA512: 7686018e098332707985577ed6275652e5015a33ccc7206c377f50afea043abed85a65ba93bd5c743a7bb5a4020964b539edc0d5b600d71ec63d339528fef4d8
Homepage: https://cran.r-project.org/package=avfintools
Description: CRAN Package 'avfintools' (Financial Analysis Tools Using Data from 'Alpha Vantager')
 To pull data from 'ALPHA VANTAGE' <https://www.alphavantage.co/>, use the
 av_api_key() function from 'alphavantager' for inserting your API key.  This
 is a complement to the 'alphavantager' package from CRAN. Contains commonly
 used quantitative finance tools. 'avfintools' stands for 'ALPHA VANTAGE'
 Finance Tools, as it depends on sourcing financial data from the 'ALPHA
 VANTAGE' <https://www.alphavantage.co/documentation/> API.

Package: r-cran-avgas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-pracma, r-cran-dplyr, r-cran-selectiveinference, r-cran-variablescreening, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-avgas_0.1.0-1.ca2004.1_all.deb
Size: 86696
MD5sum: e674fe077869428b3c0f87b1ba3cc6fa
SHA1: af50e2dd8886dacbe612b88e071596c031097af3
SHA256: 63d3760f3017513eec94717a187494f35375e55e1101073e3de388a450753cfc
SHA512: 05cfda30eb8522a0a4610201c3a296561095d1f3219a287612a7654de1df14a47b223f2b2d25780cafef11c1516c8c099a4d97dd12821d97890ee9a00443db25
Homepage: https://cran.r-project.org/package=AVGAS
Description: CRAN Package 'AVGAS' (A Variable Selection using Genetic Algorithms)
 We provide a stage-wise selection method using genetic algorithm which can
 perform fast interaction selection in high-dimensional linear regression
 models with two-way interaction effects under strong, weak, or no heredity
 condition. Ye, C.,and Yang,Y. (2019) <doi:10.1109/TIT.2019.2913417>.

Package: r-cran-avidar
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-xml2, r-cran-httr, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-tibble, r-cran-circlize, r-cran-rcolorbrewer, r-cran-r6, r-cran-curl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-avidar_1.2.1-1.ca2004.1_all.deb
Size: 209692
MD5sum: 0a9dca297d5fbeeeab8dc3b2cb24c520
SHA1: 11da22f777aef268d52e4cd6660102bae6c89e0d
SHA256: 0ff6c762f96f29fc8beaf9d24cded8160bd1255f06b70c89a635a8fc8fccec17
SHA512: 7622ab5e0aed1277a833975e8944cbd09a898dd30c6014516a561bc310aa868fc51813c2d73621d09c81a031f752699574d7aa2f07f178c50182199a2a04a4e9
Homepage: https://cran.r-project.org/package=avidaR
Description: CRAN Package 'avidaR' (A Computational Biologist’s Toolkit To Get Data From 'avidaDB')
 Easy-to-use tools for performing complex queries on 'avidaDB', a semantic
 database that stores genomic and transcriptomic data of self-replicating
 computer programs (known as digital organisms) that mutate and evolve within
 a user-defined computational environment.

Package: r-cran-avilistr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4803
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-avilistr_0.0.1-1.ca2004.1_all.deb
Size: 4746276
MD5sum: 6f43b2da76947d07c60376d5bd26b45c
SHA1: ff9d61c7c3a8efcc77696382b9893834e7315a9f
SHA256: 716d1fdf37bcc9afc1fa7a3f8d793b67e43c5276e7f605e4c5f4631e7cfc98d4
SHA512: aec394c8bdfb17c44a3700f483600e234b7f11cde9247ec76693c360a3203b1f795d7050e681fb81d3b5fde0a5398f90d10d640d68a778464f3fabbf5a5a8e61
Homepage: https://cran.r-project.org/package=avilistr
Description: CRAN Package 'avilistr' (Access and Work with the 'AviList' Global Avian Checklist)
 Provides easy access to the 'AviList' Global Avian Checklist, the first
 unified global bird taxonomy that harmonizes previous differences between
 International Ornithological Committee ('IOC'), 'Clements', and 'BirdLife'
 checklists. This package contains the complete 'AviList' dataset as R data
 objects ready for ornithological research and analysis. For more details see
 'AviList' Core Team (2025) <doi:10.2173/avilist.v2025>.

Package: r-cran-avinertia
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-readxl, r-cran-ggplot2, r-cran-stringr, r-cran-tidyr, r-cran-ggthemes, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-avinertia_0.0.2-1.ca2004.1_all.deb
Size: 222384
MD5sum: 40871eb64bba4803a77581f06826b28f
SHA1: 58011c528287be8535c5e3f2133755ed6796c4d6
SHA256: f2891c06ab3bc4c36d08e768e0be9e2ef100db21e880b6aaabc799f99f111375
SHA512: 28474e455ea64899cbddf3987eb30f83fb8276761e3b533fcee3f5df5542384f117298cf6adec44ecd224f3e76beea7207299df2a1459d14e6da0701d8689bce
Homepage: https://cran.r-project.org/package=AvInertia
Description: CRAN Package 'AvInertia' (Calculate the Inertial Properties of a Flying Bird)
 Tools to compute the center of gravity and moment of inertia tensor of any
 flying bird. The tools function by modeling a bird as a composite structure
 of simple geometric objects. This requires detailed morphological
 measurements of bird specimens although those obtained for the associated
 paper have been included in the package for use. Refer to the vignettes and
 supplementary material for detailed information on the package function.

Package: r-cran-avirtualtwins
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-party, r-cran-randomforest
Suggests: r-cran-caret, r-cran-knitr, r-cran-rpart.plot, r-cran-rmarkdown, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-avirtualtwins_1.0.1-1.ca2004.1_all.deb
Size: 384560
MD5sum: fb995126d1e186708cb50539fcee931b
SHA1: fb78f143d80c7b415e7a561afb7dfd65ce718903
SHA256: 8813f286279870368a4ff8957a937878019c106204a2051b24a58649f61d6b2e
SHA512: 564c791d672b12c4ceef93322ecb74ab3a3567ad3be95093c724af83491c5a0e3e008b54b63dcbc2ea7a4e0fd8bb89d42219c88cfdd13dfc977f6a67461f52f2
Homepage: https://cran.r-project.org/package=aVirtualTwins
Description: CRAN Package 'aVirtualTwins' (Adaptation of Virtual Twins Method from Jared Foster)
 Research of subgroups in random clinical trials with binary outcome and two
 treatments groups. This is an adaptation of the Jared Foster method
 (<https://www.ncbi.nlm.nih.gov/pubmed/21815180>).

Package: r-cran-avlm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-avlm_0.1.0-1.ca2004.1_all.deb
Size: 47196
MD5sum: 137e00b5e878ab91e9ace54495ae91d3
SHA1: d87ab57fd153c49c4fe8d97eb0af983600107442
SHA256: 75d2b334cd76d70bc0e40799f54c1e253fb6f44bebed1c6de73c8731799da0da
SHA512: 8585c16bb8b928a4c0db41fb7b33f499a698f9854d9804525373f38d5baced1c14823d51900295a118854d16fafc6d055dda81fd93f11b909a232ce60242e1a4
Homepage: https://cran.r-project.org/package=avlm
Description: CRAN Package 'avlm' (Safe Anytime Valid Inference for Linear Models)
 Anytime-valid inference for linear models, namely, sequential t-tests,
 sequential F-tests, and confidence sequences with time-uniform Type-I error
 and coverage guarantees. This allows hypotheses to be continuously tested
 without sacrificing false positive guarantees. It is based on the methods
 documented in Lindon et al. (2022) <doi:10.48550/arXiv.2210.08589>.

Package: r-cran-avocado
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1414
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-avocado_0.2.0-1.ca2004.1_all.deb
Size: 1297752
MD5sum: ba77b5c1a023f4b36833213d64ff9b44
SHA1: fd57e414d10be9661370c96845daf580d8441328
SHA256: c56aeeea2c010c59e902155843b5418c39fdd5748428fba5542426d513fbc006
SHA512: ddb065895a56c887131d3e726a44b8a00c909b2636d7d4354845ba28d8ce7cce6c0dfe189fcc82f2f13d7bfc2945fb85ae3512bfa2a7dfe18a21b3efdc5a4453
Homepage: https://cran.r-project.org/package=avocado
Description: CRAN Package 'avocado' (Weekly Hass Avocado Sales Summary)
 Provides a weekly summary of Hass Avocado sales for the contiguous US from
 January 2017 through December 20204.  See the package website for more
 information, documentation, and examples. Data source: Haas Avocado Board
 <https://hassavocadoboard.com/category-data/>.

Package: r-cran-avotrex
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1757
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-doparallel, r-cran-dosnow, r-cran-dplyr, r-cran-foreach, r-cran-phytools, r-cran-snow, r-cran-stringr, r-cran-tidytree, r-cran-treetools
Suggests: r-cran-testthat, r-cran-markdown, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-avotrex_1.3.0-1.ca2004.1_all.deb
Size: 1580884
MD5sum: b1096e66f5fe5aa6393813ea30e427f9
SHA1: abdebc31e5ef8e8d87caa773d9b315d514c61117
SHA256: 13e98eb2c030400297e9deec8c4ad3c98896a8f2c27b1c0594f1e2a52f5fb8a9
SHA512: 82a499b96d4063ce37a8c27504927a60584f94fe7d741a29b69e7641911378b27f6d8a9c94d6c8e22e9a97579f3cb025039f3fa64dd7a6945cab926d20956b7e
Homepage: https://cran.r-project.org/package=avotrex
Description: CRAN Package 'avotrex' (A Global Dataset of Anthropogenic Extinct Birds and theirTraits: Phylogeny Builder)
 Grafts the extinct bird species from the 'Avotrex' database (Sayol et al.,
 in review) on to the 'BirdTree' phylogenies <https://birdtree.org>, using a
 set of different commands.

Package: r-cran-avseqmc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-avseqmc_1.0.1-1.ca2004.1_all.deb
Size: 60476
MD5sum: 6c02d3389b15b8df1d0113e4dc91eaff
SHA1: 51ff40fa25fc23ddb16181e28b8292344e0b1600
SHA256: c74be172b6f10096347d1ed8b60140d12f7ae31e89d77abed94402f8aec06791
SHA512: 1f6f81d70bbc6bcc4980259138446d919061ebeb091772f91ab2c7d2334d44d002d01de71000f644ad53280ef00b9ccfbcf7ac9984777b256535e53d374a6b78
Homepage: https://cran.r-project.org/package=avseqmc
Description: CRAN Package 'avseqmc' (Anytime-Valid Sequential Estimation of Monte-Carlo p-Values)
 Anytime-valid sequential estimation of the p-value of a test calibrated by
 Monte-Carlo simulation, as described in Stoepker & Castro (2024)
 <doi:10.48550/arXiv.2409.18908>.

Package: r-cran-aweek
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-aweek_1.0.3-1.ca2004.1_all.deb
Size: 93020
MD5sum: 756ee63159d8886b4763a1fb3404d3d4
SHA1: f6028311cb1342c361fa9796b0f46a5b1deeb3f2
SHA256: e35ed59b0368f8641f5884b848080cf76891b54a262f52b931830007b24c57c8
SHA512: 3e8bb2393afeb40deeb779765b4431f2712dc64a4f85a8870460eaae9faaf2a63e13fce9a3f8e6a338a698e840b908a08679994ebdf0198132a9bddebe5140de
Homepage: https://cran.r-project.org/package=aweek
Description: CRAN Package 'aweek' (Convert Dates to Arbitrary Week Definitions)
 Which day a week starts depends heavily on the either the local or
 professional context. This package is designed to be a lightweight solution
 to easily switching between week-based date definitions.

Package: r-cran-awesom
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-kohonen, r-cran-shiny, r-cran-htmlwidgets, r-cran-bslib, r-cran-rmarkdown, r-cran-htmltools, r-cran-rclipboard, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-viridis, r-cran-data.table, r-cran-dt, r-cran-kernlab, r-cran-fields, r-cran-cluster, r-cran-e1071, r-cran-haven, r-cran-foreign, r-cran-readxl, r-cran-readods
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-awesom_1.3-1.ca2004.1_all.deb
Size: 355264
MD5sum: 2825289473ea98dd200c7530bb8e9a1d
SHA1: 9a349f034fb92dea5dd8cfe4802f17a3450a6b7d
SHA256: 1160149761ab798e645f508792dda74ac8c6c91f44962c43fde599845e0b57af
SHA512: 87c681751ec6f3c6b93a43b1026623f60cc9bef2aad6bb350aeaf31eea911f383823c0379dc1b5dacc9d963a8d066b06740d93e47a436af4cf719a06b38b7af7
Homepage: https://cran.r-project.org/package=aweSOM
Description: CRAN Package 'aweSOM' (Interactive Self-Organizing Maps)
 Self-organizing maps (also known as SOM, see Kohonen (2001)
 <doi:10.1007/978-3-642-56927-2>) are a method for dimensionality reduction
 and clustering of continuous data. This package introduces interactive
 (html) graphics for easier analysis of SOM results. It also features an
 interactive interface, for push-button training and visualization of SOM on
 numeric, categorical or mixed data, as well as tools to evaluate the quality
 of SOM.

Package: r-cran-awinr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-awinr_0.1.0-1.ca2004.1_all.deb
Size: 21792
MD5sum: bd4ce691257d62f0768e1ca83de7a753
SHA1: 88869ed18f4b4130886133aeecedf67b2cf34b50
SHA256: 863a520c7bf01b15ffde35bdf5bd35bacbd35b7c3788e541ce091b15215ee7b6
SHA512: ccfe93ff032e374831efd3b1a504d17769029fa85f7cfdb3202fb688b5bd14634618cb0140213790f2032172765cf8bcbc0299e41af6dbcc3b60ff6aad2d78a3
Homepage: https://cran.r-project.org/package=awinR
Description: CRAN Package 'awinR' (Get Data from 'Awin' via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Awin' using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-awr.athena
Architecture: all
Version: 2.0.7-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8063
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjdbc, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-awr.athena_2.0.7-0-1.ca2004.1_all.deb
Size: 6971800
MD5sum: 2d05ff0d8a67d215bbb23a921a07b2d7
SHA1: ae158df0ec86ea1587d96d675e6bf86c2d9a0883
SHA256: 6628ed7dbe1b4cd5c0c4d31a0fa1f11f72fa638f66db8c5137612356d3df3e5d
SHA512: aa1cfc8f50b1c36ae843682f59be0dd59d1dceb1d7018a0410ad183392f42ac4aac4275a10c763d452a5575790596759217753c9a6c868ba6938a45101dfcdd6
Homepage: https://cran.r-project.org/package=AWR.Athena
Description: CRAN Package 'AWR.Athena' ('AWS' Athena 'DBI' Wrapper)
 'RJDBC' based 'DBI' driver to Amazon Athena, which is an interactive query
 service to analyze data in Amazon 'S3' using standard 'SQL'.

Package: r-cran-awr.kinesis
Architecture: all
Version: 1.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3431
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-awr, r-cran-logger, r-cran-jsonlite, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-awr.kinesis_1.7.6-1.ca2004.1_all.deb
Size: 3095512
MD5sum: 2e2d605e971f5988077881d15549d66d
SHA1: 3a0b89b591111330fe3dc976e038a12cdbd665f3
SHA256: 4c0178c9cd9af3ff2c40dbca57aa7181b14750d940efb1704f87620d56aa586a
SHA512: 43df537a351fd656410820a38e6a6c94bd45158745437d565d4c80da2e3796aa6b685da7eb7e6c4d69a8f797df6125a3322120f8329403901172addc3c03facc
Homepage: https://cran.r-project.org/package=AWR.Kinesis
Description: CRAN Package 'AWR.Kinesis' (Amazon 'Kinesis' Consumer Application for Stream Processing)
 Fetching data from Amazon 'Kinesis' Streams using the Java-based
 'MultiLangDaemon' interacting with Amazon Web Services ('AWS') for easy
 stream processing from R. For more information on 'Kinesis', see
 <https://aws.amazon.com/kinesis>.

Package: r-cran-awr.kms
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-awr, r-cran-rjava, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-awr.kms_0.1-1.ca2004.1_all.deb
Size: 16040
MD5sum: 14ba7b97abcb5d0e48184368d06ef35f
SHA1: 9789f2163772d55da119feb37f7a1adf38d1c1e0
SHA256: e70e95e77ab0162986040a48b31bea4d510827640a596a322e220d0ef5782017
SHA512: 0ba41820bafe086f0472352cb459fda2695b771490e11afb3c75ac34224900ed1d60db64c936e5fbe9232a86e9675500655d03a9f212d095d87d8047cf0e37ba
Homepage: https://cran.r-project.org/package=AWR.KMS
Description: CRAN Package 'AWR.KMS' (A Simple Client to the 'AWS' Key Management Service)
 Encrypt plain text and 'decrypt' cipher text using encryption keys hosted at
 Amazon Web Services ('AWS') Key Management Service ('KMS'), on which see
 <https://aws.amazon.com/kms> for more information.

Package: r-cran-awr
Architecture: all
Version: 1.11.189-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-awr_1.11.189-1-1.ca2004.1_all.deb
Size: 14156
MD5sum: 7b97e5f195f8e5f5808e4e57363c90bf
SHA1: e8afaab83e7c5b39bd47c5ef183733f1478c7727
SHA256: 613994a4e96f6ac11d8bac579a4060ef7d808d7aa5316a40a61d35c151df31f0
SHA512: ff54fb4b2cc3c2760d270fe380fef37f820384af6d85009adf068aaf8d0ef34e8cf6ca2e3f4b28d9614fc85f8501d04bd68574fead924c79fd318bd10c2bdeef
Homepage: https://cran.r-project.org/package=AWR
Description: CRAN Package 'AWR' ('AWS' Java 'SDK' for R)
 Make the compiled Java modules of the Amazon Web Services ('AWS') 'SDK'
 available to be used in downstream R packages interacting with 'AWS'. See
 <https://aws.amazon.com/sdk-for-java> for more information on the 'AWS'
 'SDK' for Java.

Package: r-cran-aws.alexa
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 725
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-aws.signature, r-cran-xml2, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-aws.alexa_0.1.8-1.ca2004.1_all.deb
Size: 238324
MD5sum: 7477e05cb37bbf1a0bcba1986171833f
SHA1: c3e3aa91e894e5392627a251b7de055533db5198
SHA256: 625eee0be85cf2742d692d0c28c0f97d5e2e9fbace86287099ab78e9b1025eb4
SHA512: d9a97cef6d2400dd662a4adeaa469dffc4b77a76501435c74e72dc1446907273e67da123fdb4b5ee15cbfbd9f31cc802b66a313c53b7306abd2ebbbefbfebe11
Homepage: https://cran.r-project.org/package=aws.alexa
Description: CRAN Package 'aws.alexa' (Client for the Amazon Alexa Web Information Services API)
 Use the Amazon Alexa Web Information Services API to find information about
 domains, including the kind of content that they carry, how popular are
 they---rank and traffic history, sites linking to them, among other things.
 See <https://aws.amazon.com/awis/> for more information.

Package: r-cran-aws.comprehend
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-aws.signature
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aws.comprehend_0.2.1-1.ca2004.1_all.deb
Size: 41460
MD5sum: 9c359e5d239473ee80cb81f3279429e6
SHA1: 5fb0c8f4e6ea6c27953dad675a393d255dae1340
SHA256: 7a932bc2df56f51ba6e63d90f09f7af6bd320b02e25deecad068cf135d70887a
SHA512: 91a32b8253df1ba01691e8b3c989455bba305198d146eb9cac14e792338ad7b469569c38dd008a81cfb85a9629eeff3c894227698ccf52351b8ae6d25f61fdd5
Homepage: https://cran.r-project.org/package=aws.comprehend
Description: CRAN Package 'aws.comprehend' (Client for 'AWS Comprehend')
 Client for 'AWS Comprehend' <https://aws.amazon.com/comprehend>, a cloud
 natural language processing service that can perform a number of
 quantitative text analyses, including language detection, sentiment
 analysis, and feature extraction.

Package: r-cran-aws.ec2metadata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-aws.ec2metadata_0.2.0-1.ca2004.1_all.deb
Size: 19416
MD5sum: 2a748149d598e858c5ff11510dbf50a5
SHA1: 2b9b0c11a0e6a4498b286c1c19e0f79314894cf4
SHA256: 518fdd3031a060f20d85fb0a1893df8318ee502d688af12195d1768098ddb2a5
SHA512: b4bf8790e332d095d3c2425f6be0cdf3670f3324c8ecc136305341f23de70f63a1106e1a7d9ff50e2edd68a63853446b310a5ab7715b08e592e61c356ec1ee52
Homepage: https://cran.r-project.org/package=aws.ec2metadata
Description: CRAN Package 'aws.ec2metadata' (Get EC2 Instance Metadata)
 Retrieve Amazon EC2 instance metadata from within the running instance.

Package: r-cran-aws.ecx
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2522
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-aws.signature, r-cran-httr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aws.ecx_1.0.5-1.ca2004.1_all.deb
Size: 2152008
MD5sum: bd459b156e21c332c9caede5f29299c0
SHA1: 4018915508e10f7f22e3a6078a034d825ee52f5e
SHA256: f9d86e26ddabda5052bd5e2631fb12fabb662bbb68f59fdd20b95418e1df314b
SHA512: 3960fe7ecbec48380804990e674b31c02061a95574b7ca2b1e1081c78f987fb26b9e301184965ee05f5fb20488ea9a0d7b4be06ff799682645de03183d8bbc25
Homepage: https://cran.r-project.org/package=aws.ecx
Description: CRAN Package 'aws.ecx' (Communicating with AWS EC2 and ECS using AWS REST APIs)
 Providing the functions for communicating with Amazon Web Services(AWS)
 Elastic Compute Cloud(EC2) and Elastic Container Service(ECS).  The
 functions will have the prefix 'ecs_' or 'ec2_' depending on the class of
 the API. The request will be sent via the REST API and the parameters are
 given by the function argument. The credentials can be set via
 'aws_set_credentials'.  The EC2 documentation can be found at
 <https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Welcome.html> and
 ECS can be found at
 <https://docs.aws.amazon.com/AmazonECS/latest/APIReference/Welcome.html>.

Package: r-cran-aws.iam
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-aws.signature
Filename: pool/dists/focal/main/r-cran-aws.iam_0.1.8-1.ca2004.1_all.deb
Size: 130508
MD5sum: b535324361b8aa38dee4d4e4fc791c6c
SHA1: ad13935d25df16b2a1e06296f936af98a895978e
SHA256: 5fda411098da9af01dbf2d3e23d0836218cb292b496856cac63da47a89dc039c
SHA512: 595bdb4baa5aa188a72141ca83782dca9ccdc34282a8e13ccd61141d47507cec76edaa293a98a3048a42567bf240139dfffc955e9868758763da62f32e7a1f63
Homepage: https://cran.r-project.org/package=aws.iam
Description: CRAN Package 'aws.iam' (AWS IAM Client Package)
 A simple client for the Amazon Web Services ('AWS') Identity and Access
 Management ('IAM') 'API' <https://aws.amazon.com/iam/>.

Package: r-cran-aws.kms
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-base64enc, r-cran-aws.signature
Filename: pool/dists/focal/main/r-cran-aws.kms_0.1.4-1.ca2004.1_all.deb
Size: 56008
MD5sum: dbac930b98c48841fdbd65bb92d6573a
SHA1: 0b78fdff8da60c9591380fb419f927529d0dddec
SHA256: 1b098dbea813c8654ab8e01b78e9bafe4148666610e34cb25678c9c2209a7760
SHA512: 47e51988c4febc4e509bdf158d9ad3dcad65cc74615cab9824bbb6a8bbb8085af4e15bb67b11f3777b82bfa2dbe07919ba5ad196d6a6db798821e9cb5f94cd51
Homepage: https://cran.r-project.org/package=aws.kms
Description: CRAN Package 'aws.kms' ('AWS Key Management Service' Client Package)
 Client package for the 'AWS Key Management Service'
 <https://aws.amazon.com/kms/>, a cloud service for managing encryption keys.

Package: r-cran-aws.lambda
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-aws.signature, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-aws.s3, r-cran-aws.iam
Filename: pool/dists/focal/main/r-cran-aws.lambda_0.2.0-1.ca2004.1_all.deb
Size: 58928
MD5sum: df6d90094497ee504d57246f2742f7d3
SHA1: d1cdb0211205eecf120a55429139980ebadece2c
SHA256: 7ccde7ab38d98631ce3b6e0dadb633168b272705599b4c20ed6441b8cf88cd0f
SHA512: 4b215c5a63520329a7acc2f3fb6878be9d851383fff1cec69a3eb6772adb9ca88ec8d598a0b7b4a6fa84c94d91b09edcaaa9d86215ad685972f2c575e7197ee9
Homepage: https://cran.r-project.org/package=aws.lambda
Description: CRAN Package 'aws.lambda' (AWS Lambda Client Package)
 A simple client package for the Amazon Web Services ('AWS') Lambda API
 <https://aws.amazon.com/lambda/>.

Package: r-cran-aws.polly
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-aws.signature, r-cran-tuner
Filename: pool/dists/focal/main/r-cran-aws.polly_0.1.5-1.ca2004.1_all.deb
Size: 29340
MD5sum: 4976e22e0b5fe59ee212608bbe5f2911
SHA1: 60372a3bbc2da6bc40a46ab8d2522b8a9f77a423
SHA256: 19586f79850133b6c4cce8eae5123298385ff4a79a15130e1f09e9bc4c202cc0
SHA512: 4584a17adfefe1930a87159388c916d8dae4e294f40da4413315ba64460fa96c9f11881573f47ec5d3f48f21b973a54e3331c5afab5019c7df636183210829cf
Homepage: https://cran.r-project.org/package=aws.polly
Description: CRAN Package 'aws.polly' (Client for AWS Polly)
 A client for AWS Polly <http://aws.amazon.com/documentation/polly>, a speech
 synthesis service.

Package: r-cran-aws.s3
Architecture: all
Version: 0.3.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-xml2, r-cran-base64enc, r-cran-digest, r-cran-aws.signature
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aws.s3_0.3.21-1.ca2004.1_all.deb
Size: 188668
MD5sum: 1d28db3eaa60666efb495778a9d8837c
SHA1: 8e2afece50d226c566f940783fc28ebf25da61fa
SHA256: 352f65c6f2982de0ba0c0661b8728d9386439f7f8a6474e1e646f15eba3a9c0f
SHA512: a5b5b8bd04c26d282144d3206b4fa41cc0db76c7ca29e8855d493603059a2576a699eb53f3154adc2198d7d383471894d2b9218fbe26baec54c5754a43c7b381
Homepage: https://cran.r-project.org/package=aws.s3
Description: CRAN Package 'aws.s3' ('AWS S3' Client Package)
 A simple client package for the Amazon Web Services ('AWS') Simple Storage
 Service ('S3') 'REST' 'API' <https://aws.amazon.com/s3/>.

Package: r-cran-aws.signature
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-aws.ec2metadata
Filename: pool/dists/focal/main/r-cran-aws.signature_0.6.0-1.ca2004.1_all.deb
Size: 77372
MD5sum: 8e5ffd6ab34b776b909de465cea01bbc
SHA1: 5057ddd15ce3003953fdda3f74e8f46b9fdc1151
SHA256: 71765b7fac433ebbf011d08895ec564c18f315596214221de0f0ab3f5f8f4b84
SHA512: e25e0a028f6ae881d47c8f9d510831bae0418496d00db681c9662fbffc6ace9169875a0a3c505274838870b47c4e873e01dfbf3caee26ffd18dc8d27ce55ed33
Homepage: https://cran.r-project.org/package=aws.signature
Description: CRAN Package 'aws.signature' (Amazon Web Services Request Signatures)
 Generates version 2 and version 4 request signatures for Amazon Web Services
 ('AWS') <https://aws.amazon.com/> Application Programming Interfaces
 ('APIs') and provides a mechanism for retrieving credentials from
 environment variables, 'AWS' credentials files, and 'EC2' instance metadata.
 For use on 'EC2' instances, users will need to install the suggested package
 'aws.ec2metadata' <https://cran.r-project.org/package=aws.ec2metadata>.

Package: r-cran-aws.transcribe
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-aws.signature
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aws.transcribe_0.1.3-1.ca2004.1_all.deb
Size: 27852
MD5sum: d93767dac9c6d98a47bf9a83dd115849
SHA1: d95b06c828fd39dff2fcb5425e7351cc2966b330
SHA256: ae3bec604b71753cf5133af1b4796de722de25a692ff6cb19b6206ad8b141715
SHA512: d3f4cce4395f923b06055991aab21763e623396eea16dadd59b2ed03fef2bcd190828979ddeaf02cc8e12eb2e731f8592f993b4938aa0147d7b5e4efde89b3a6
Homepage: https://cran.r-project.org/package=aws.transcribe
Description: CRAN Package 'aws.transcribe' (Client for 'AWS Transcribe')
 Client for 'AWS Transcribe'
 <https://aws.amazon.com/documentation/transcribe>, a cloud transcription
 service that can convert an audio media file in English and other languages
 into a text transcript.

Package: r-cran-aws.translate
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-aws.signature
Filename: pool/dists/focal/main/r-cran-aws.translate_0.1.4-1.ca2004.1_all.deb
Size: 19128
MD5sum: 9cdfd310cae5e598382ebe6492d04bb2
SHA1: a9dd3efab81b63a36462b22fef112a1283ce4137
SHA256: b0e7f81ed8001a7a27a91b1a44e767ecbe1ebb7dbdc4824a56209d7021c384b0
SHA512: 9f34d69535cac158b7e47201f439f2fc9bef34be5506808327bff24d5a6d4d35d7547c74dff1c3f8aa941501a7a0ed8b7317a017d8b0ef1ac9d44ddc8e889f5d
Homepage: https://cran.r-project.org/package=aws.translate
Description: CRAN Package 'aws.translate' (Client for 'AWS Translate')
 A client for 'AWS Translate'
 <https://aws.amazon.com/documentation/translate>, a machine translation
 service that will convert a text input in one language into a text output in
 another language.

Package: r-cran-aws.wrfsmn
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aws.s3, r-cran-lubridate, r-cran-terra, r-cran-dplyr, r-cran-ggplot2, r-cran-hydrogof, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aws.wrfsmn_0.0.5-1.ca2004.1_all.deb
Size: 128036
MD5sum: 5e4b84b61acd8bfa3ed8affdb05003c3
SHA1: 1e8ce61e383965a518c2e2d65cc05dde5e3cdd25
SHA256: 4d295b4c5790f7279fead6282c9b00541d7927d06618a695168331a93b5fbe2f
SHA512: c03d57344551e1066792c863cdf0867d78e7b1d5f2de3d3931f379e9b00c07901b071f20ae64c7999e9e4ff9f3ebe985ff6fad3bebe2039e2940f26835f02e04
Homepage: https://cran.r-project.org/package=aws.wrfsmn
Description: CRAN Package 'aws.wrfsmn' (Data Processing of SMN Hi-Res Weather Forecast from 'AWS')
 Exploration of Weather Research & Forecasting ('WRF') Model data of Servicio
 Meteorologico Nacional (SMN) from Amazon Web Services
 (<https://registry.opendata.aws/smn-ar-wrf-dataset/>) cloud. The package
 provides the possibility of data downloading, processing and correction
 methods. It also has map management and series exploration of available
 meteorological variables of 'WRF' forecast.

Package: r-cran-axisandallies
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-axisandallies_0.1.1-1.ca2004.1_all.deb
Size: 38736
MD5sum: 3816b76b408c1fa42a5b890645adc963
SHA1: c496b7ae783c3f0238ef96d820357f34210afad3
SHA256: 3959fb321d6a193052e4b81db2777fd5bcadee7f682efc474f544307ae78e676
SHA512: 9859b94432afaffefbcf46aae4e88f389fb89a22dfc639e2dac66b278946344890fc972a7e7be2e0a05f945f7b85c8dfdffb98f1b15084074be2eeda57c6726c
Homepage: https://cran.r-project.org/package=axisandallies
Description: CRAN Package 'axisandallies' (Axis and Allies Spring)
 Simulates battles in the board game Axis and Allies Spring 1942, and
 calculates your probability of winning a battle. This speeds the game up
 significantly.

Package: r-cran-aziad
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-extradistr, r-cran-foreach, r-cran-doparallel, r-cran-qrm, r-cran-corpcor, r-cran-envstats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-aziad_0.0.3-1.ca2004.1_all.deb
Size: 214628
MD5sum: 57f5264f0c37b6aaf42d346c22bafe93
SHA1: 02cadfcb391b04c7fc0138893c6ac0e0c2d57406
SHA256: 7b0829ec98bc3f466bd7e22d4da825af3242074ef789c65bfdbb4a57694b1196
SHA512: 0542124e456ce7b13807c65b0f154a570d13fb63270c4155107e1df8f42f2575577b6c34f30019ff63f4eaaa5006092e290587a8ef246e41bd72dba40650d4be
Homepage: https://cran.r-project.org/package=AZIAD
Description: CRAN Package 'AZIAD' (Analyzing Zero-Inflated and Zero-Altered Data)
 Description: Computes maximum likelihood estimates of general,
 zero-inflated, and zero-altered models for discrete and continuous
 distributions. It also performs Kolmogorov-Smirnov (KS) tests and likelihood
 ratio tests for general, zero-inflated, and zero-altered data. Additionally,
 it obtains the inverse of the Fisher information matrix and confidence
 intervals for the parameters of general, zero-inflated, and zero-altered
 models. The package simulates random deviates from zero-inflated or hurdle
 models to obtain maximum likelihood estimates. Based on the work of Aldirawi
 et al. (2022) <doi:10.1007/s42519-021-00230-y> and Dousti Mousavi et al.
 (2023) <doi:10.1080/00949655.2023.2207020>.

Package: r-cran-aziztest
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-aziztest_0.2.1-1.ca2004.1_all.deb
Size: 51340
MD5sum: 8a891a3779590ce5002d25e33e5882d2
SHA1: a7146511e005903305d7e00d89e0118ae0a6043d
SHA256: 9bedcf2db0590c9eb15e6d3f7553b6d3fc3faee736cbd5b83eb2950e790f8369
SHA512: 832ca970df1c3d36b87971f3764c77cbf24431ab6004dba63eee6884020948a9fb1292bde1aad6ef96a5a2e49f5cf56ca0c0e746426444d079ec1e7de5138e69
Homepage: https://cran.r-project.org/package=aziztest
Description: CRAN Package 'aziztest' (Novel Statistical Test for Aberration Enrichment)
 Testing for heterogeneous effects in a case-control setting.  The aim here
 to discover an association that is beyond a mean difference between all
 cases and all controls. Instead, the signal of interest here is present in
 only a proportion of the cases. This test should be more powerful than a
 t-test or Wilcoxon test in this heterogeneous setting.  Please cite the
 corresponding paper: Mezlini et al. (2020) <doi:10.1101/2020.03.23.002972>.

Package: r-cran-azlogr
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-catools, r-cran-digest, r-cran-httr, r-cran-jsonlite, r-cran-logger
Suggests: r-cran-covr, r-cran-knitr, r-cran-mockery, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-azlogr_0.0.6-1.ca2004.1_all.deb
Size: 51184
MD5sum: 60f0a317864aca460f9d84a5e061ee2c
SHA1: 45cd2f1e6f0b46d92f5af1d9a9f3d444ad535f2e
SHA256: b36468e36347fa740b3cc6197f51b66e276839cd48658a9e043a4cf3b2e1a55c
SHA512: 0f1c50e63e78455fcf231161fb731130e7cf1e1071dfd8a0b51e0d2f09c6979e3588a9dfee12ceb7628f0ee2318a46f2ad98d4dc0b8ec389c91d554a253ce4b1
Homepage: https://cran.r-project.org/package=azlogr
Description: CRAN Package 'azlogr' (Logging in 'R' and Post to 'Azure Log Analytics' Workspace)
 It extends the functionality of 'logger' package. Additional logging
 metadata can be configured to be collected. Logging messages are displayed
 on console and optionally they are sent to 'Azure Log Analytics' workspace
 in real-time.

Package: r-cran-azureappinsights
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-rlang, r-cran-assertthat, r-cran-jsonlite, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-here
Filename: pool/dists/focal/main/r-cran-azureappinsights_0.3.1-1.ca2004.1_all.deb
Size: 294560
MD5sum: 5b73f0bab3e00b0498b90a7bcffd0e94
SHA1: c1d11163747e48522cef261d28c6312365bdf09e
SHA256: 37e8d69dcb9d2ec54cb7985f87721297d4313bcc0c6354c607507a88c168211f
SHA512: b23ea08d13d5a051cc72c0853389a5024af28b67c01d8452c2ccdb01be91ea3c7912651b35051b6f9fbba5b6ba662ae4dfa46c94ff3d04fa938f323433a87a4c
Homepage: https://cran.r-project.org/package=AzureAppInsights
Description: CRAN Package 'AzureAppInsights' (Include Azure Application Insights in Shiny Apps)
 Imports Azure Application Insights for web pages into Shiny apps via
 Microsoft's JavaScript snippet.  Allows app developers to submit page
 tracking and submit events.

Package: r-cran-azureauth
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-openssl, r-cran-jsonlite, r-cran-jose, r-cran-r6, r-cran-rappdirs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-httpuv, r-cran-shiny, r-cran-shinyjs, r-cran-azurermr, r-cran-azuregraph
Filename: pool/dists/focal/main/r-cran-azureauth_1.3.3-1.ca2004.1_all.deb
Size: 421312
MD5sum: 97a16cfb907ae0d71a8d77ee382597c5
SHA1: 7b217bb19c78b05a9611e52f8958221bdc4f38f4
SHA256: c640bcb736fc40bc4bc61264f22402a26cd39e89325409fa4930a2a8ba59f4e5
SHA512: 0bb29849d9e9b77514aefb200ea7039eaac8b41254bff874f3057026c4028a5c57223365861e4f1cb0eb8eb578851710dc4b0646c2bb9bdce8d840c316ca9377
Homepage: https://cran.r-project.org/package=AzureAuth
Description: CRAN Package 'AzureAuth' (Authentication Services for Azure Active Directory)
 Provides Azure Active Directory (AAD) authentication functionality for R
 users of Microsoft's 'Azure' cloud <https://azure.microsoft.com/>. Use this
 package to obtain 'OAuth' 2.0 tokens for services including Azure Resource
 Manager, Azure Storage and others. It supports both AAD v1.0 and v2.0, as
 well as multiple authentication methods, including device code and resource
 owner grant. Tokens are cached in a user-specific directory obtained using
 the 'rappdirs' package. The interface is based on the 'OAuth' framework in
 the 'httr' package, but customised and streamlined for Azure. Part of the
 'AzureR' family of packages.

Package: r-cran-azurecognitive
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-azureauth, r-cran-azurermr, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-azurecognitive_1.0.2-1.ca2004.1_all.deb
Size: 146176
MD5sum: e23ce3b447c9e7145f9610fb9bc9e450
SHA1: fa6b2ed626a0ca6819ebc65689c609e979fe41e7
SHA256: aa6eb0b8fda0db7901dd4de425e3d2078e4ecfe58fcb2e928d5130666a9e12da
SHA512: 89b33719aaed83c9758bfd8ab7a90977b9fc4ef5dd9cf9631fd326f19aafa88a9e4027e584c42215aaa10f53d52c4d7f804b821139c164e71e0047087898f55d
Homepage: https://cran.r-project.org/package=AzureCognitive
Description: CRAN Package 'AzureCognitive' (Interface to Azure Cognitive Services)
 An interface to Azure Cognitive Services
 <https://learn.microsoft.com/en-us/azure/cognitive-services/>. Both an
 'Azure Resource Manager' interface, for deploying Cognitive Services
 resources, and a client framework are supplied. While 'AzureCognitive' can
 be called by the end-user, it is meant to provide a foundation for other
 packages that will support specific services, like Computer Vision, Custom
 Vision, language translation, and so on. Part of the 'AzureR' family of
 packages.

Package: r-cran-azurecontainers
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 706
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-azurermr, r-cran-azuregraph, r-cran-openssl, r-cran-httr, r-cran-r6, r-cran-processx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-uuid, r-cran-mass, r-cran-bcrypt, r-cran-randomforest, r-cran-plumber, r-cran-restrserve, r-cran-azurekeyvault
Filename: pool/dists/focal/main/r-cran-azurecontainers_1.3.3-1.ca2004.1_all.deb
Size: 478412
MD5sum: bc03d0a6b092bcc7db7533f485678f2b
SHA1: afff89ed11fe376db66b206d65814bb793ba6ce4
SHA256: fec50b7ae93b93cb7a56448bd0237edaf66b03fa365c51501d91d858d9c94011
SHA512: 7b4387468ba4a1fd27887e327f9520ece6d371c9a381e67e52e713307de813360d49e2072be501d360e9e13947f5697a6525e354ba72379def3dc711b8386ed7
Homepage: https://cran.r-project.org/package=AzureContainers
Description: CRAN Package 'AzureContainers' (Interface to 'Container Instances', 'Docker Registry' and'Kubernetes' in 'Azure')
 An interface to container functionality in Microsoft's 'Azure' cloud:
 <https://azure.microsoft.com/en-us/products/category/containers/>. Manage
 'Azure Container Instance' (ACI), 'Azure Container Registry' (ACR) and
 'Azure Kubernetes Service' (AKS) resources, push and pull images, and deploy
 services. On the client side, lightweight shells to the 'docker',
 'docker-compose', 'kubectl' and 'helm' commandline tools are provided. Part
 of the 'AzureR' family of packages.

Package: r-cran-azurecosmosr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-azurermr, r-cran-curl, r-cran-openssl, r-cran-jsonlite, r-cran-httr, r-cran-uuid, r-cran-vctrs
Suggests: r-cran-azuretablestor, r-cran-mongolite, r-cran-dbi, r-cran-odbc, r-cran-dplyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-azurecosmosr_1.0.0-1.ca2004.1_all.deb
Size: 220740
MD5sum: 601a3b0aad209e5066606cb6317b1d8a
SHA1: 96f17991df259412a04fbf1784cd19001ddd38d6
SHA256: 58883e2cb9116737f002ce6e2aa1b6008971d0d202d9569ff3bc0b6886a6952c
SHA512: 3836a0b895e303d0a94290388d1614beb3670262a95fd64ddd7eff939cf52bdc29be434d3a78c43e0627b8598f253e5e4bce4f17b75e389cbfd5d4b8df13c97d
Homepage: https://cran.r-project.org/package=AzureCosmosR
Description: CRAN Package 'AzureCosmosR' (Interface to the 'Azure Cosmos DB' 'NoSQL' Database Service)
 An interface to 'Azure CosmosDB':
 <https://azure.microsoft.com/en-us/services/cosmos-db/>. On the admin side,
 'AzureCosmosR' provides functionality to create and manage 'Cosmos DB'
 instances in Microsoft's 'Azure' cloud. On the client side, it provides an
 interface to the 'Cosmos DB' SQL API, letting the user store and query
 documents and attachments in 'Cosmos DB'. Part of the 'AzureR' family of
 packages.

Package: r-cran-azuregraph
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-azureauth, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-curl, r-cran-r6
Suggests: r-cran-azurermr, r-cran-vctrs, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-azuregraph_1.3.4-1.ca2004.1_all.deb
Size: 522372
MD5sum: fee4b529c6a534ccef40e85f38469cb9
SHA1: cfc267d89a4e8e68f74253f8894ef4287022e6e4
SHA256: 9eac2e659621c6a9cb25d68ebbab50f105391ef2fcd956d5bbbccb85ac06895d
SHA512: f8f33e54e6e0774ffc1a5dddde84d76fac5509d6a3105952477b96cba6e025ab8de1c0e6ba9ce2a14fef026ba181ed4eb0196621c5ec5799faef4fe88bab1691
Homepage: https://cran.r-project.org/package=AzureGraph
Description: CRAN Package 'AzureGraph' (Simple Interface to 'Microsoft Graph')
 A simple interface to the 'Microsoft Graph' API
 <https://learn.microsoft.com/en-us/graph/overview>. 'Graph' is a
 comprehensive framework for accessing data in various online Microsoft
 services. This package was originally intended to provide an R interface
 only to the 'Azure Active Directory' part, with a view to supporting
 interoperability of R and 'Azure': users, groups, registered apps and
 service principals. However it has since been expanded into a more general
 tool for interacting with Graph. Part of the 'AzureR' family of packages.

Package: r-cran-azurekeyvault
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-jose, r-cran-azurermr, r-cran-azuregraph, r-cran-azureauth
Suggests: r-cran-azurestor, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-azurekeyvault_1.0.6-1.ca2004.1_all.deb
Size: 495676
MD5sum: d07ceb1c2504e185dbfea183a780e900
SHA1: 90b4d82de2b316d0c873ea081e62a5a9d02e9853
SHA256: 8654039d707a969e9e33bd9c9d644c654cc5d766e70443a38c25759d5ac426bc
SHA512: 92d605f28692679ac50b3fe58bb49b71b76e7a2c1d1984e4cf9173222e491451a65426027f9561ec68c2114139cddd51197abf845158e7e4bb83c66f9aa684a2
Homepage: https://cran.r-project.org/package=AzureKeyVault
Description: CRAN Package 'AzureKeyVault' (Key and Secret Management in 'Azure')
 Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key
 Vault' service: <https://azure.microsoft.com/products/key-vault/>. Provides
 facilities to store and retrieve secrets, use keys to encrypt, decrypt, sign
 and verify data, and manage certificates. Integrates with the 'AzureAuth'
 package to enable authentication with a certificate, and with the 'openssl'
 package for importing and exporting cryptographic objects. Part of the
 'AzureR' family of packages.

Package: r-cran-azurekusto
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-openssl, r-cran-azureauth, r-cran-azurermr, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-dbi
Suggests: r-cran-bit64, r-cran-knitr, r-cran-testthat, r-cran-azuregraph, r-cran-azurestor, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-azurekusto_1.1.3-1.ca2004.1_all.deb
Size: 568440
MD5sum: ad5c3434bbe7c76f9adff47c2e2a1427
SHA1: 5eb296de000a00cccc25081cf169f5f09751a11a
SHA256: d641824c799844cf8063841753e21a2bef5280b7523b6a014565e5a9e7564440
SHA512: 91928d0de721229f1fb0fa6d1aeb157f446face24b4e8f23055463bdeaae60a1c7a498866e3d7e4c95a1a78e55ff6342932b68be4bf477ee87587dc878a54564
Homepage: https://cran.r-project.org/package=AzureKusto
Description: CRAN Package 'AzureKusto' (Interface to 'Kusto'/'Azure Data Explorer')
 An interface to 'Azure Data Explorer', also known as 'Kusto', a fast,
 distributed data exploration service from Microsoft:
 <https://azure.microsoft.com/en-us/products/data-explorer/>. Includes 'DBI'
 and 'dplyr' interfaces, with the latter modelled after the 'dbplyr' package,
 whereby queries are translated from R into the native 'KQL' query language
 and executed lazily. On the admin side, the package extends the object
 framework provided by 'AzureRMR' to support creation and deletion of
 databases, and management of database principals. Part of the 'AzureR'
 family of packages.

Package: r-cran-azuremlsdk
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reticulate, r-cran-plyr, r-cran-dt, r-cran-htmltools, r-cran-servr, r-cran-shiny, r-cran-shinycssloaders
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-dplyr, r-cran-jsonlite, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-azuremlsdk_1.10.0-1.ca2004.1_all.deb
Size: 487200
MD5sum: a35628ae16fd1062f067ee1960c49447
SHA1: 74ecc4de095d71645d94e0853c8927dc304c66e2
SHA256: ed47c1d7bc57e46d0b659073d9f4dd5387302f2f90485242739fca0ac931a3b6
SHA512: 93a2a4eef9bc9a5a9dd128e7907fedf6dae2d3460a9b532bae41189eb49bc39612cba4b1265d7970e4b861f8fee82aea60f269094ecb0c111cd25eb583e893a9
Homepage: https://cran.r-project.org/package=azuremlsdk
Description: CRAN Package 'azuremlsdk' (Interface to the 'Azure Machine Learning' 'SDK')
 Interface to the 'Azure Machine Learning' Software Development Kit ('SDK').
 Data scientists can use the 'SDK' to train, deploy, automate, and manage
 machine learning models on the 'Azure Machine Learning' service. To learn
 more about 'Azure Machine Learning' visit the website:
 <https://docs.microsoft.com/en-us/azure/machine-learning/service/overview-what-is-azure-ml>.

Package: r-cran-azureqstor
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-azurermr, r-cran-azurestor, r-cran-openssl, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-azureqstor_1.0.2-1.ca2004.1_all.deb
Size: 160268
MD5sum: f2843ef23474f558c922ea8225200ebb
SHA1: a5667e5d0b0205b1786c993e5a40cd17e5279d19
SHA256: acb5554b1188340b48398a21311f21bd93b921b69e0de75aef862e16f7474710
SHA512: 287999a601f0dd46bcc489ae0629d559aeef3a1c2a4477f4b62e050a300f1741dc871d5fdfa79ff679e2fbdfa1776ec9ef8711b8a87066eac1e61e643d750b09
Homepage: https://cran.r-project.org/package=AzureQstor
Description: CRAN Package 'AzureQstor' (Interface to 'Azure Queue Storage')
 An interface to 'Azure Queue Storage'. This is a cloud service for storing
 large numbers of messages, for example from automated sensors, that can be
 accessed remotely via authenticated calls using HTTP or HTTPS. Queue storage
 is often used to create a backlog of work to process asynchronously. Part of
 the 'AzureR' family of packages.

Package: r-cran-azurermr
Architecture: all
Version: 2.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-azuregraph, r-cran-azureauth, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-uuid
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-httpuv, r-cran-azurestor
Filename: pool/dists/focal/main/r-cran-azurermr_2.4.4-1.ca2004.1_all.deb
Size: 453396
MD5sum: aff429cf52d32ec293bdfa1a1378d9e2
SHA1: 4a1b52e8d9e9b79976819b45306e283eb3e2cb1f
SHA256: b69d60ae8e43e2d023a5fac22e15511d8d389a1acacf556f7d5ad3b9713e1366
SHA512: f94a1f70431ff9f690e02d9e5bbc3b9ebe5c88b30840798482b14e5034004cee190ddeac03ee702b5f0d1594fab623944559bbe83ba3a215f448029d996d3acc
Homepage: https://cran.r-project.org/package=AzureRMR
Description: CRAN Package 'AzureRMR' (Interface to 'Azure Resource Manager')
 A lightweight but powerful R interface to the 'Azure Resource Manager' REST
 API. The package exposes a comprehensive class framework and related tools
 for creating, updating and deleting 'Azure' resource groups, resources and
 templates. While 'AzureRMR' can be used to manage any 'Azure' service, it
 can also be extended by other packages to provide extra functionality for
 specific services. Part of the 'AzureR' family of packages.

Package: r-cran-azurestor
Architecture: all
Version: 3.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 639
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-mime, r-cran-openssl, r-cran-xml2, r-cran-vctrs, r-cran-azurermr
Suggests: r-cran-azureauth, r-cran-readr, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-testthat, r-cran-processx, r-cran-uuid
Filename: pool/dists/focal/main/r-cran-azurestor_3.7.0-1.ca2004.1_all.deb
Size: 460588
MD5sum: 816ada441bd9fd1d928cc74fd04b1a93
SHA1: 3a9276bb2893796606205fc8797c9109c28b08cc
SHA256: 9b6a5bfe5ecc7d2d4f5e5a719771326e195880781509d36d1d6782a46c924a71
SHA512: c00b0c753de1b3c869a11eed4861ace048c356a24d539fd7a8dd500ad513c7d59a42af0ee089ae479c001cc7015e2af4bd54d5fe9813dc699169c56b140104b5
Homepage: https://cran.r-project.org/package=AzureStor
Description: CRAN Package 'AzureStor' (Storage Management in 'Azure')
 Manage storage in Microsoft's 'Azure' cloud:
 <https://azure.microsoft.com/en-us/product-categories/storage/>. On the
 admin side, 'AzureStor' includes features to create, modify and delete
 storage accounts. On the client side, it includes an interface to blob
 storage, file storage, and 'Azure Data Lake Storage Gen2': upload and
 download files and blobs; list containers and files/blobs; create
 containers; and so on. Authenticated access to storage is supported, via
 either a shared access key or a shared access signature (SAS). Part of the
 'AzureR' family of packages.

Package: r-cran-azuretablestor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-azurermr, r-cran-azurestor, r-cran-jsonlite, r-cran-openssl, r-cran-httr, r-cran-uuid, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-azuretablestor_1.0.0-1.ca2004.1_all.deb
Size: 112616
MD5sum: f7fb6c6a341ebfdcee2bd1f66556ec69
SHA1: d8402f2bc7fa90914bc829814d6e73efd05b527a
SHA256: 8073d0e64af876501658c8c946d7f95434edcb6b28e5184bad84e70ac889439c
SHA512: 8de3d24726a0d5071cc023d29d8eddeee2548d59db470b8bf30702f5d322e5bc8f4889109e6170f7a14517f6376418b74167ee45ed460ecd03c136c2d6a89b4e
Homepage: https://cran.r-project.org/package=AzureTableStor
Description: CRAN Package 'AzureTableStor' (Interface to the Table Storage Service in 'Azure')
 An interface to the table storage service in 'Azure':
 <https://azure.microsoft.com/en-us/services/storage/tables/>. Supplies
 functionality for reading and writing data stored in tables, both as part of
 a storage account and from a 'CosmosDB' database with the table service API.
 Part of the 'AzureR' family of packages.

Package: r-cran-azurevision
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1849
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-azurermr, r-cran-azurecognitive, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-azureauth, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-azurevision_1.0.2-1.ca2004.1_all.deb
Size: 1547592
MD5sum: 4dc9eb4b9d3a9e40ac13197c990e0917
SHA1: ca6557dc2a9e030b547b753bcaa372e50c955c8a
SHA256: dc8ad9dec811892a1a6215a5c3f2da54e74db688c4b7271324cc87e17d009754
SHA512: c7cc30947c65b0bfaa88d0b4e2be2e8454bc38b2a2c064cc839cbd14d6b618ff1d070b9846b295032b3c56993698e7b80fbe9109f4c9a85364184214a232e95e
Homepage: https://cran.r-project.org/package=AzureVision
Description: CRAN Package 'AzureVision' (Interface to Azure Computer Vision Services)
 An interface to 'Azure Computer Vision'
 <https://docs.microsoft.com/azure/cognitive-services/Computer-vision/Home>
 and 'Azure Custom Vision'
 <https://docs.microsoft.com/azure/cognitive-services/custom-vision-service/home>,
 building on the low-level functionality provided by the 'AzureCognitive'
 package. These services allow users to leverage the cloud to carry out
 visual recognition tasks using advanced image processing models, without
 needing powerful hardware of their own. Part of the 'AzureR' family of
 packages.

Package: r-cran-azurevm
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-azurermr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-azurekeyvault, r-cran-azurevmmetadata
Filename: pool/dists/focal/main/r-cran-azurevm_2.2.2-1.ca2004.1_all.deb
Size: 414528
MD5sum: 4933dc0321f425e5959eaa49ffb3e0d1
SHA1: 76d78e83997975aa6687d62fb44837355f0d9b63
SHA256: 6a88e6a23ebc80ba1432dc234c57385c9c760bc0abbd5e47abc58c256124824e
SHA512: 8d0b41a931f404b83f07402f01060d94390ef2b0ad38aae33394ed13a5890caff47305942df8764230cbddeb979f2fdc892a76b79c32ec24359d6421756fd279
Homepage: https://cran.r-project.org/package=AzureVM
Description: CRAN Package 'AzureVM' (Virtual Machines in 'Azure')
 Functionality for working with virtual machines (VMs) in Microsoft's 'Azure'
 cloud: <https://azure.microsoft.com/en-us/services/virtual-machines/>.
 Includes facilities to deploy, startup, shutdown, and cleanly delete VMs and
 VM clusters. Deployment configurations can be highly customised, and can
 make use of existing resources as well as creating new ones. A selection of
 predefined configurations is provided to allow easy deployment of commonly
 used Linux and Windows images, including Data Science Virtual Machines. With
 a running VM, execute scripts and install optional extensions. Part of the
 'AzureR' family of packages.

Package: r-cran-azurevmmetadata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openssl, r-cran-httr
Suggests: r-cran-azureauth, r-cran-azurevm
Filename: pool/dists/focal/main/r-cran-azurevmmetadata_1.0.1-1.ca2004.1_all.deb
Size: 91316
MD5sum: bfc8feb552d1b3c589bc823d20e7fc95
SHA1: 938e557dc4bfa0de2439cc52d3aaaf251b799e6b
SHA256: 696a4a3824b29230381f927e1d3ba2be151d29e05dc2bd16e20683f1f66fc4ac
SHA512: 386ad7c6f24f430f68dbbe0d723f061f3f2b6165610801e18e8a2284c3e38645e6a2e83338a5e8c90675176530815d85ec4d52e978b915ab9c2b824ddffa9666
Homepage: https://cran.r-project.org/package=AzureVMmetadata
Description: CRAN Package 'AzureVMmetadata' (Interface to Azure Virtual Machine Instance Metadata)
 A simple interface to the instance metadata for a virtual machine running in
 Microsoft's 'Azure' cloud. This provides information about the VM's
 configuration, such as its processors, memory, networking, storage, and so
 on. Part of the 'AzureR' family of packages.

Package: r-cran-b6e6rl
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-b6e6rl_1.1-1.ca2004.1_all.deb
Size: 26088
MD5sum: 4a01f67abe8ed3e3d13d7c71901d4a25
SHA1: 7eb7c7ea264fc8b9f03697f7cddb2eb179838ff8
SHA256: 6c72ef58c23bb41a9881c300e8cb511bc797f065308004cbd9298ce9a9fcd371
SHA512: 859e4f8d4b804628f681dd4b56953d78cc366da9420e8242488a65e4cb3ccb31c339a388c4e404828d41724a9a6cca6010eb84f4e5b1550fdfbffd650d5f1332
Homepage: https://cran.r-project.org/package=b6e6rl
Description: CRAN Package 'b6e6rl' (Adaptive differential evolution, b6e6rl variant)
 This package contains b6e6rl algorithm, adaptive differential evolution for
 global optimization.

Package: r-cran-babar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-babar_1.0-1.ca2004.1_all.deb
Size: 363372
MD5sum: eff6555bdaba8f87e5a8a4475d2e09b8
SHA1: 05ae822df975f4848e11b215ce5f0ccfc2118000
SHA256: 031fc5e485181bee11dd35c72d3bece9fe15d31da1cb340bf97ba41036e7d288
SHA512: a464f8608a3956c40121e8e6f49525e2b52d8616e9b4a2d806692c4d71f8141aab271725498b71a1c419253d2051d061cf5526a38820e900fb998fd3c5126d00
Homepage: https://cran.r-project.org/package=babar
Description: CRAN Package 'babar' (Bayesian Bacterial Growth Curve Analysis in R)
 Babar is designed to use nested sampling (a Bayesian analysis technique) to
 compare possible models for bacterial growth curves, as well as extracting
 parameters. It allows model evidence and parameter likelihood values to be
 extracted, and also contains helper functions for comparing distributions as
 well as direct access to the underlying nested sampling code.

Package: r-cran-babel
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-edger
Suggests: r-cran-r.rsp, r-cran-r.devices, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-babel_0.3-0-1.ca2004.1_all.deb
Size: 208668
MD5sum: 11727c69bd460137f728a6a58d18d4e9
SHA1: 9b78ec54ca467562a9dddf0614def18a2b197475
SHA256: 149889eb0d598b7e6000f02223b41ccbc81090741fac3bbb50d99e20f06202cf
SHA512: 4e526d448c7ed18214d95666bba4915cda39917d32d99cc2b4966b72704d6b15644444820ade129474cdb05bed4d37bfe602a4012f8f18d5930da7e739b75b1a
Homepage: https://cran.r-project.org/package=babel
Description: CRAN Package 'babel' (Ribosome Profiling Data Analysis)
 Included here are babel routines for identifying unusual ribosome protected
 fragment counts given mRNA counts.

Package: r-cran-babelgene
Architecture: all
Version: 22.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3625
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-babelgene_22.9-1.ca2004.1_all.deb
Size: 3651124
MD5sum: 8eb32107f247c3ce06d6fd63b9500bb4
SHA1: 9d95390248c5f4c15c2b429076f30aa866db2e90
SHA256: a29336f5df3c2a32a8b2eb9a434c9206630e819c0ef1f67769079eac9c6c3d72
SHA512: 11b48ef5aeaf4afcb95e52eb58bef39650735a9dfaf34f09e153199a7ea2d388f7822099ea8f9e118fd38cc47be231682bf6bc9807197ae8596a5db56dfd8c4b
Homepage: https://cran.r-project.org/package=babelgene
Description: CRAN Package 'babelgene' (Gene Orthologs for Model Organisms in a Tidy Data Format)
 Genomic analysis of model organisms frequently requires the use of databases
 based on human data or making comparisons to patient-derived resources. This
 requires harmonization of gene names into the same gene space. The
 'babelgene' R package converts between human and non-human gene
 orthologs/homologs. The package integrates orthology assertion predictions
 sourced from multiple databases as compiled by the HGNC Comparison of
 Orthology Predictions (HCOP) (Wright et al. 2005
 <doi:10.1007/s00335-005-0103-2>, Eyre et al. 2007 <doi:10.1093/bib/bbl030>,
 Seal et al. 2011 <doi:10.1093/nar/gkq892>).

Package: r-cran-babelwhale
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-fs, r-cran-dynutils, r-cran-processx, r-cran-purrr, r-cran-digest, r-cran-glue
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-babelwhale_1.2.0-1.ca2004.1_all.deb
Size: 416664
MD5sum: e3c24ae3664517066620080e8f8ffb26
SHA1: 1e1144b3136252b3870cab5e18810e8ae69148f5
SHA256: 21021e9215a2e03faba3a1479069668045adbe9312ffb3f2fa2926965b37832c
SHA512: 91d3f14babb6468baf711bde0f73ddb82058c6179d39b262e65d97398c7fe8afe51a571a652855f9ff9ce2c990ac9cfa84916473ac15e2172f8fd8a1466d4cfd
Homepage: https://cran.r-project.org/package=babelwhale
Description: CRAN Package 'babelwhale' (Talking to 'Docker' and 'Singularity' Containers)
 Provides a unified interface to interact with 'docker' and 'singularity'
 containers.  You can execute a command inside a container, mount a volume or
 copy a file.

Package: r-cran-babette
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beautier, r-cran-beastier, r-cran-mauricer, r-cran-tracerer, r-cran-phangorn, r-cran-rlang, r-cran-stringr, r-cran-xml2
Suggests: r-cran-ape, r-cran-ggplot2, r-cran-knitr, r-cran-lintr, r-cran-nltt, r-cran-rappdirs, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-babette_2.3.4-1.ca2004.1_all.deb
Size: 1495932
MD5sum: 513cfda619e897c3027adf60a57048b4
SHA1: f3b330d4b1cffd17eac84f979025459a14a478eb
SHA256: 0ce9d3e9a763bfdf2663bdcb7ffcb1bd0a32aaae593b4bcf515fc53fb5d95432
SHA512: aeecac6df1627e6f11880ff2822012b5c48c9b19746df8aacc02972b010b24bfb67181a99904b42ad71ef1c90883a2b8f479a663207ae4e2cce0fcd129251416
Homepage: https://cran.r-project.org/package=babette
Description: CRAN Package 'babette' (Control 'BEAST2')
 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic
 tool, that uses DNA/RNA/protein data and many model priors to create a
 posterior of jointly estimated phylogenies and parameters.  'BEAST2' is
 commonly accompanied by 'BEAUti 2', 'Tracer' and 'DensiTree'.  'babette'
 provides for an alternative workflow of using all these tools separately.
 This allows doing complex Bayesian phylogenetics easily and reproducibly
 from 'R'.

Package: r-cran-babsim.hospital
Architecture: all
Version: 11.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spot, r-cran-checkmate, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-golem, r-cran-igraph, r-cran-lubridate, r-cran-markovchain, r-cran-padr, r-cran-rvest, r-cran-scales, r-cran-simmer, r-cran-slider, r-cran-testthat, r-cran-plyr, r-cran-xml2
Suggests: r-cran-batchtools, r-cran-knitr, r-cran-rmarkdown, r-cran-rpart, r-cran-rpart.plot, r-cran-simmer.plot, r-cran-stringr, r-cran-tidyverse, r-cran-usethis, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-babsim.hospital_11.8.8-1.ca2004.1_all.deb
Size: 997588
MD5sum: a29fd6b31785a3f83aa32e52e3733563
SHA1: 600b514baa2bc6a656bc8df435eb0f4f0336e28e
SHA256: 38227ec50c8f37e73015b4d8d9ca5c56f23c328413a37a01eb79eb845e66cea4
SHA512: 2b56ab57fe49fc5cb38fbca9df471d3315a74896ff2d610fed06cdd5b67a7c128dd48474400e9b97d14e6a13cec545b0d6cd19196433328a3c7b0fc3edc2ac59
Homepage: https://cran.r-project.org/package=babsim.hospital
Description: CRAN Package 'babsim.hospital' (Bartz & Bartz Simulation Hospital)
 Implements a discrete-event simulation model for a hospital resource
 planning problem.  The project is motivated by the challenges faced by
 health care institutions in the current COVID-19 pandemic.  It can be used
 by health departments to forecast demand for intensive care beds,
 ventilators, and staff resources.  Our modelling approach is inspired by "A
 novel modelling technique to predict resource requirements in critical care
 - a case study" (Lawton and McCooe 2019) and combines two powerful
 technologies: (i) discrete event simulation using the 'simmer' package and
 (ii) model-based optimization using 'SPOT'.  Ucar I, Smeets B, Azcorra A
 (2019) <doi:10.18637/jss.v090.i02>.  Bartz-Beielstein T, Lasarczyk C W G,
 Preuss M (2005) <doi:10.1109/CEC.2005.1554761>.  Lawton T, McCooe M (2019)
 <doi:10.7861/futurehosp.6-1-17>.

Package: r-cran-babynames
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-babynames_1.0.1-1.ca2004.1_all.deb
Size: 5536848
MD5sum: fc2b07f9efcf96f153b3ccb7f88f7adc
SHA1: 08faceab297b6dc673f440335e0a759b508810ee
SHA256: 96dcb3e59227c30e1929f98ecd33989bedc78e9176e336887f03009c220dada2
SHA512: 620fa9bf7b28147a7c812742ec2d2363e3f17c87dd50e69b25bb471232a4113c2d7f394bda6a18630e274a1f45687be62ad779a1408215d91c705a18a3ec89ea
Homepage: https://cran.r-project.org/package=babynames
Description: CRAN Package 'babynames' (US Baby Names 1880-2017)
 US baby names provided by the SSA. This package contains all names used for
 at least 5 children of either sex.

Package: r-cran-babynamesil
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-babynamesil_0.0.2-1.ca2004.1_all.deb
Size: 580068
MD5sum: 9a57cd11c258bd2182e760596a2affa0
SHA1: 2bdf19cf56d559021a7994c28a75859332b3a74a
SHA256: 9fb2116cb66cc33447bd0ef3aaabee08b3430a62f98a6040f150539f28748230
SHA512: bab5ded2e6c5ebb28b0557904c8f3d1b2235ac7ae044ad3b8128ba8defea36449fe427ae1f2b8ba7743a02c2b094eb3798a9093f4fc7d1ab9ba8debb8c571952
Homepage: https://cran.r-project.org/package=babynamesIL
Description: CRAN Package 'babynamesIL' (Israel Baby Names 1948-2022)
 Israeli baby names provided by Israel's Central Bureau of Statistics. The
 package contains only names used for at least 5 children in at least one
 gender and sector ("Jewish", "Muslim", "Christian", "Druze" and "Other").
 Data was downloaded from:
 <https://www.cbs.gov.il/he/publications/LochutTlushim/2020/%D7%A9%D7%9E%D7%95%D7%AA-%D7%A4%D7%A8%D7%98%D7%99%D7%99%D7%9D.xlsx>.

Package: r-cran-babytimer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-janitor, r-cran-lubridate, r-cran-readr, r-cran-snakecase, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-babytimer_0.1.0-1.ca2004.1_all.deb
Size: 30964
MD5sum: 3241924c038399d54541c31c71fbf604
SHA1: 79406d46e8ded50789ccc093e05c6e6ff39486b0
SHA256: 8e30b8ead0f66fc202751dc38e7b8d822b29f9ac39b75a510e5d417c01a77c30
SHA512: f3d4b666157492386bd107a32da5511cb441d60b3a9a96f50a2f4fdf31374f30c145045277540fd9a73572595b66305fdc0dd8fe05f7778186fc81060462af97
Homepage: https://cran.r-project.org/package=babyTimeR
Description: CRAN Package 'babyTimeR' (Parse Output from 'BabyTime' Application)
 'BabyTime' is an application for tracking infant and toddler care activities
 like sleeping, eating, etc. This package will take the outputted .zip files
 and parse it into a usable list object with cleaned data. It handles
 malformed and incomplete data gracefully and is designed to parse one
 directory at a time.

Package: r-cran-bacco
Architecture: all
Version: 2.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-emulator, r-cran-calibrator, r-cran-approximator
Filename: pool/dists/focal/main/r-cran-bacco_2.1-0-1.ca2004.1_all.deb
Size: 307228
MD5sum: 38486782890ee194a304810cab34d681
SHA1: 99bcab0fa588a58331ad613f1bb598160ca92a9f
SHA256: 6fd6c9d93ec739c63514ae7166a1031f8d1620fc1eb043c50004448f6f7221c1
SHA512: 5a57ad5a3ae14976ecaa8bc038f742fc17baaa5c65b258ad26ab0226f114cab4c24ab2856e6bb692452d97798299484fd8b1b2da36b3bf36227d4eb8f31d7db2
Homepage: https://cran.r-project.org/package=BACCO
Description: CRAN Package 'BACCO' (Bayesian Analysis of Computer Code Output (BACCO))
 The BACCO bundle of packages is replaced by the BACCO package, which
 provides a vignette that illustrates the constituent packages (emulator,
 approximator, calibrator) in use.

Package: r-cran-bacct
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-bacct_1.0-1.ca2004.1_all.deb
Size: 42332
MD5sum: b863e78187c049f95db4a5e55fd0d47c
SHA1: 353985d46be076d49eaae012a6af14a06f9f6651
SHA256: dfbb70c0d4aa6649f85eebf84d7f77ac109ea349c02b42ac805a46a36686f408
SHA512: 1f56978e704c990c092c39d0496626e130ff956046a475cba2e38fad4e03082e971849e0bc3664730715a614b8812878543507b3e55955d3fc50db6f5a6924db
Homepage: https://cran.r-project.org/package=BACCT
Description: CRAN Package 'BACCT' (Bayesian Augmented Control for Clinical Trials)
 Implements the Bayesian Augmented Control (BAC, a.k.a. Bayesian historical
 data borrowing) method under clinical trial setting by calling 'Just Another
 Gibbs Sampler' ('JAGS') software. In addition, the 'BACCT' package evaluates
 user-specified decision rules by computing the type-I error/power, or
 probability of correct go/no-go decision at interim look. The evaluation can
 be presented numerically or graphically. Users need to have 'JAGS' 4.0.0 or
 newer installed due to a compatibility issue with 'rjags' package.
 Currently, the package implements the BAC method for binary outcome only.
 Support for continuous and survival endpoints will be added in future
 releases. We would like to thank AbbVie's Statistical Innovation group and
 Clinical Statistics group for their support in developing the 'BACCT'
 package.

Package: r-cran-bacenapi
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-bacenapi_0.3.1-1.ca2004.1_all.deb
Size: 194820
MD5sum: 61b69b1b38918247707e43d78bc12cf7
SHA1: 5f40dade83bfba578733b8b790040e6c6d46317e
SHA256: e2bdb5e4d06da7976f99cebbeaf0734a72a0e590ebfba2e4b69e174d4e461c14
SHA512: 5d3c9c06b63b5d3d887296edec219f91431b5b6402c6b6108ac744eb47fadbbb666c3892b405baa1a42ffbb3b12795e8a996b7a22ede29f00d1921ba63c7996e
Homepage: https://cran.r-project.org/package=BacenAPI
Description: CRAN Package 'BacenAPI' (Data Collection from the Central Bank of Brazil)
 Provides tools to facilitate the access and processing of data from the
 Central Bank of Brazil API. The package allows users to retrieve economic
 and financial data, transforming them into usable tabular formats for
 further analysis. The data is obtained from the Central Bank of Brazil API:
 <https://api.bcb.gov.br/dados/serie/bcdata.sgs.{series_code}/dados?formato=json&dataInicial={start_date}&dataFinal={end_date}>.

Package: r-cran-bacistool
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-bacistool_1.0.0-1.ca2004.1_all.deb
Size: 59376
MD5sum: c733dda2d20f2b5b3b831f74363befa1
SHA1: e4656e83415fb8020240cec8be4918c9492e6a45
SHA256: 1e69429412c174602b0574921190798c2b8c692e04b38b9d0a7fe45409f23811
SHA512: 791d2e651077b4cadc503fa6eb48d60daa40c9effcd7b54f56be0c6a26b8e6e316aa150252580f7bd179b52aee171897604c31a16b13ceaa4c6294d515c226c7
Homepage: https://cran.r-project.org/package=bacistool
Description: CRAN Package 'bacistool' (Bayesian Classification and Information Sharing (BaCIS) Tool forthe Design of Multi-Group Phase II Clinical Trials)
 Provides the design of multi-group phase II clinical trials with binary
 outcomes using the hierarchical Bayesian classification and information
 sharing (BaCIS) model. Subgroups are classified into two clusters on the
 basis of their outcomes mimicking the hypothesis testing framework.
 Subsequently, information sharing takes place within subgroups in the same
 cluster, rather than across all subgroups. This method can be applied to the
 design and analysis of multi-group clinical trials with binary outcomes.
 Reference: Nan Chen and J. Jack Lee (2019) <doi:10.1002/bimj.201700275>.

Package: r-cran-backpipe
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr, r-cran-piper, r-cran-r6, r-cran-testthat, r-cran-shiny, r-cran-knitr, r-cran-rstudioapi, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-backpipe_0.2.3-1.ca2004.1_all.deb
Size: 23472
MD5sum: 092bb83e926beb377aade27063ce8861
SHA1: 0711b026440afa0de6dbe7bb3657e7013cb29fac
SHA256: eb57d9e22af704decfd62e8c044280fcad37d8cee779b10eab1b426d2d9a3458
SHA512: b6ebf8c5ac45451362c9528c5a810fd9cb5635b27e3f5b9ccfca3accc86e3cffaf56185e93830c7fd68d824b10753025bb7990fc47fbaa88f89d6f2615b1e376
Homepage: https://cran.r-project.org/package=backpipe
Description: CRAN Package 'backpipe' (Backward Pipe (Right-to-Left) Operator)
 Provides a backward-pipe operator for 'magrittr' (%<%) or 'pipeR' (%<<%)
 that allows for a performing operations from right-to-left.  This allows
 writing more legible code where right-to-left ordering is natural. This is
 common with hierarchies and nested structures such as trees, directories or
 markup languages (e.g. HTML and XML).  The package also includes a R-Studio
 add-in that can be bound to a keyboard shortcut.

Package: r-cran-backtest
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3424
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-backtest_0.3-4-1.ca2004.1_all.deb
Size: 3410468
MD5sum: 3ba130655d211567df95499ad8f39ec1
SHA1: 70d3ed406a0aeba366dd59f42d3dedfa1ddeb457
SHA256: 042f1740c2ca72437be2d9e541a705766b934850d739eeb2d80080aa9459e608
SHA512: 3ff4e4047c49d5f0eab5aa9eab5bd79332d9f07b610cf0c0a644e6128f545937de11685b6760cadbe47ea4c024fa8c2af85c53cae817b25413df76b6195d28d2
Homepage: https://cran.r-project.org/package=backtest
Description: CRAN Package 'backtest' (Exploring Portfolio-Based Conjectures About FinancialInstruments)
 The backtest package provides facilities for exploring portfolio-based
 conjectures about financial instruments (stocks, bonds, swaps, options, et
 cetera).

Package: r-cran-backtestgraphics
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1785
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dygraphs, r-cran-dplyr, r-cran-scales, r-cran-xts, r-cran-shiny, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-backtestgraphics_0.1.8-1.ca2004.1_all.deb
Size: 1673760
MD5sum: 707eb8a87df11660b1c4eceeb82a41a6
SHA1: 5e55d4b5e2a03e35f3f631f26645aac6e3f4b28e
SHA256: 8493ac5b243a49825c5d77c826d07a84dabaac88a65ea0c23b44e85cdc04c2cc
SHA512: f4e07065b87a9984a10ca2e8f4baf20a6f1199f29a50380f09aeef2f1ad2266dd371ca6aeca36eefa9443fea259af449a3af21ff478309e1899042df28309e5f
Homepage: https://cran.r-project.org/package=backtestGraphics
Description: CRAN Package 'backtestGraphics' (Interactive Graphics for Portfolio Data)
 Creates an interactive graphics interface to visualize backtest results of
 different financial instruments, such as equities, futures, and credit
 default swaps.  The package does not run backtests on the given data set but
 displays a graphical explanation of the backtest results. Users can look at
 backtest graphics for different instruments, investment strategies, and
 portfolios. Summary statistics of different portfolio holdings are shown in
 the left panel, and interactive plots of profit and loss (P&L), net market
 value (NMV) and gross market value (GMV) are displayed in the right panel.

Package: r-cran-bacondecomp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1216
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bacondecomp_0.1.1-1.ca2004.1_all.deb
Size: 1150944
MD5sum: a491dd14acc4a06b60ea0bec53b81cab
SHA1: 75b5a872075057ae3f351bdd8a0cc1d0bfd3207a
SHA256: e1dd986cd13a14022df01811aed28501a2671e13b15be17e530460e7c5d0db11
SHA512: 22b5dbb8612e0cb6ca1b1d902b8fd1e4f116533ffc34954a79a26e47dd09ec0a6715d380290f7a46f63f9aa968726636d6fa32f732f80a9887db194ab08b460a
Homepage: https://cran.r-project.org/package=bacondecomp
Description: CRAN Package 'bacondecomp' (Goodman-Bacon Decomposition)
 Decomposition for differences-in-differences with variation in treatment
 timing from Goodman-Bacon (2018) <doi:10.3386/w25018>.

Package: r-cran-bacprior
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-leaps, r-cran-boot
Filename: pool/dists/focal/main/r-cran-bacprior_2.1.1-1.ca2004.1_all.deb
Size: 37452
MD5sum: b32748f0ef73131559c8a79e92159930
SHA1: 0d82cf264b7a92bb739befe2b2c10d4a2a5366f0
SHA256: 45ccc81c85db34dbef80cec8a31132a6a383f18b8ebdd7687ba7e529a7850a8b
SHA512: 72a8c60ffd8bc014f46c8dc57d3965364b60f620887cf8f1288b035d5aaf2c2cf75ac1ae889fae0e29d2cd9ebbdc9609d2d113249534a45345870e415e23bd0c
Homepage: https://cran.r-project.org/package=BACprior
Description: CRAN Package 'BACprior' (Choice of Omega in the BAC Algorithm)
 The Bayesian Adjustment for Confounding (BAC) algorithm (Wang et al., 2012)
 can be used to estimate the causal effect of a continuous exposure on a
 continuous outcome.  This package provides an approximate sensitivity
 analysis of BAC with regards to the hyperparameter omega. BACprior also
 provides functions to guide the user in their choice of an appropriate omega
 value. The method is based on Lefebvre, Atherton and Talbot (2014).

Package: r-cran-bacr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-bacr_1.0.1-1.ca2004.1_all.deb
Size: 38700
MD5sum: 30cb9569ab937355d1bbb13e13a97785
SHA1: 0b0cb7c4127e9c8b158a91b85a2098b79a207127
SHA256: 83ef0695693baabc5983cb34990230ab8ba7a6b80231583e4747ae8aee6a3970
SHA512: da1bc33e64bcf6ea1cac827b4b91c749f76f6e5a6745dd6004bbec9095b9915c3e6f9059cce49279f10befc63bb4ba436b9c290d43c8af460a377565505504f6
Homepage: https://cran.r-project.org/package=bacr
Description: CRAN Package 'bacr' (Bayesian Adjustment for Confounding)
 Estimating the average causal effect based on the Bayesian Adjustment for
 Confounding (BAC) algorithm.

Package: r-cran-badgen
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-v8
Suggests: r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-badgen_1.0.1-1.ca2004.1_all.deb
Size: 18048
MD5sum: 893d22846d1da8e04472db26982e73d6
SHA1: c949309baecf4ee830c22f7933832db38172793a
SHA256: f5518a8bc047215cb16b9f6b1a59632915c69ddcea517a475140cdc72f2210cd
SHA512: cbbe6c7d90f404599a59548e0c3f750e04e48d11fbe35d0ffe31a2cdd3f5cccb5df260a5746e4d713191eb867c8368eeb31be684fb4d69363b05e182701570f8
Homepage: https://cran.r-project.org/package=badgen
Description: CRAN Package 'badgen' (Fast and Simple Badge Generator)
 Bindings to 'badgen' <https://www.npmjs.com/package/badgen> to generate
 beautiful 'svg' badges in R without internet access. Images can be converted
 to 'png' using the 'rsvg' package as shown in examples.

Package: r-cran-badger
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dlstats, r-cran-rvcheck, r-cran-desc, r-cran-usethis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-badger_0.2.4-1.ca2004.1_all.deb
Size: 69984
MD5sum: 0ff96a4aeb71b357d2c5828dff4e017c
SHA1: 0d32f6e3020ca07036a817e5eb26f0f004530607
SHA256: d2fce339f8109f8f87f1f0f93d37bc01fd6b2c57c16425112556fb76b756afda
SHA512: c950c47ad0878220bb28db493feb6845e7c1926e4b20177d9277deb815715144fffb53619fff924c7c2e806cec170748daaf612cde815fa35665c7fe28e05a91
Homepage: https://cran.r-project.org/package=badger
Description: CRAN Package 'badger' (Badge for R Package)
 Query information and generate badge for using in README and GitHub Pages.

Package: r-cran-baessd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-baessd_1.0.1-1.ca2004.1_all.deb
Size: 155492
MD5sum: 93419aeb7fdc68741408d2561b904964
SHA1: 2e21ba8ba4088619c7cf6af77273bcb14c368d55
SHA256: 2e259345228f2f739a746bfb3d88317fb2cedf2ac0d9417b59d767b3a399c77d
SHA512: 41d4983cef51c51d76b1f58ef7d052bf221b3dce51c3ce85009393391ca0b1e2f4c8517c4a3683f7d9b12f55358ae1ba38f599245e08cbc4ad91ea02bbabfd39
Homepage: https://cran.r-project.org/package=BAEssd
Description: CRAN Package 'BAEssd' (Bayesian Average Error approach to Sample Size Determination)
 Implements sample size calculations following the approach described in
 "Bayesian Average Error Based Approach to Hypothesis Testing and Sample Size
 Determination."

Package: r-cran-baf
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-baf_0.0.1-1.ca2004.1_all.deb
Size: 62876
MD5sum: 73b6d7c38bd858a6b0a039d86e7ac4d3
SHA1: ab664f650325ea69e7f7e003bbb943d53e660f59
SHA256: 6a6abb2c0a19ae9f0f0e458def1a29cea07b38f7d0f974906db30bcbeea7c5a3
SHA512: c19bb81e0c1452a77b0bb72311c4927f41e0595b64bf2e1ebf5ec89306a2f9c894c2b1f942761e485eec23d6a862c651046b06a4f810db7c623a3f00bde1b8ff
Homepage: https://cran.r-project.org/package=baf
Description: CRAN Package 'baf' (Block Assignment Files)
 Download and read US Census Bureau data relationship files. Provides support
 for cleaning and using block assignment files since 2010, as described in
 <https://www.census.gov/geographies/reference-files/time-series/geo/block-assignment-files.html>.
 Also includes support for working with block equivalency files, used for
 years outside of decennial census years.

Package: r-cran-baffle
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-png
Filename: pool/dists/focal/main/r-cran-baffle_0.2.2-1.ca2004.1_all.deb
Size: 132224
MD5sum: d4ebd6ff104fbc3e4893c9df7523fe71
SHA1: 0c1afecb6a0b5fe6a5473158c67175a0325791af
SHA256: 2bae2c83db424f8b0126e2e64532b98a429eff7113251a15cf6c340c90b167ce
SHA512: 7a20e0c12eb923f87784ccd947aa7daebd7f99e6b477af2394d7a87cd313096db647a2c54caae4e1e077476618b6916473b49196d1b4d35c246c3c6b885412ed
Homepage: https://cran.r-project.org/package=baffle
Description: CRAN Package 'baffle' (Make Waffle Plots with Base Graphics)
 Waffle plots are rectangular pie charts that represent a quantity or
 abundances using colored squares or other symbol. This makes them better at
 transmitting information as the discrete number of squares is easier to read
 than the circular area of pie charts.  While the original waffle charts were
 rectangular with 10 rows and columns, with a single square representing 1%,
 they are nowadays popular in various infographics to visualize any
 proportional ratios.

Package: r-cran-bagged.outliertrees
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-outliertree, r-cran-dplyr, r-cran-dosnow, r-cran-foreach, r-cran-rlist, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-bagged.outliertrees_1.0.0-1.ca2004.1_all.deb
Size: 76012
MD5sum: 206f954ee9a9faf14a333f959827f0b7
SHA1: 6086b3e4109d7921309cbac8118623f11b8b6442
SHA256: 43b2d77ab67933a18dd0ae23ba5d64c47360a6508c27c8942fbbd8144ae323a5
SHA512: aaadb03091a9d72d2cba265222751c91325782fd42eea12002f2b5348daf888905b3ee4398a1cb79fb6a5a0c8c6b11a04bb5a376f15da2d56811a795d63a469f
Homepage: https://cran.r-project.org/package=bagged.outliertrees
Description: CRAN Package 'bagged.outliertrees' (Robust Explainable Outlier Detection Based on OutlierTree)
 Bagged OutlierTrees is an explainable unsupervised outlier detection method
 based on an ensemble implementation of the existing OutlierTree procedure
 (Cortes, 2020). This implementation takes advantage of bootstrap aggregating
 (bagging) to improve robustness by reducing the possible masking effect and
 subsequent high variance (similarly to Isolation Forest), hence the name
 "Bagged OutlierTrees". To learn more about the base procedure OutlierTree
 (Cortes, 2020), please refer to <arXiv:2001.00636>.

Package: r-cran-baggedcv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-mclust, r-cran-kedd
Filename: pool/dists/focal/main/r-cran-baggedcv_1.0-1.ca2004.1_all.deb
Size: 18024
MD5sum: b0e82bcf22929dd7290299c0ecb05d4d
SHA1: f33b8ce984edfa36abaf09c934aaa106f27eef56
SHA256: 3120552814ebd15e9abb72849a1169f9e6ba6c45f0ae3b009744be10b0befc44
SHA512: f96e07857224301757d0b6d760b6561a8e2fcf76eddd39219149e93b424d70f0f93f957eacc139c5ffd1e3b44eb8db94d7f42dad30f589a510c94f80a34e9f91
Homepage: https://cran.r-project.org/package=baggedcv
Description: CRAN Package 'baggedcv' (Bagged Cross-Validation for Kernel Density Bandwidth Selection)
 Bagged cross-validation for bandwidth selection in kernel density estimation
 (Hall and Marron (1987) <doi:10.1007/BF00363516>). This bandwidth selector
 can achieve greater statistical precision than standard cross-validation
 while being computationally fast.

Package: r-cran-bagoft
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-dcov
Suggests: r-cran-glmnet, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-bagoft_1.0.0-1.ca2004.1_all.deb
Size: 54316
MD5sum: 014773dd30023023d206720a3dd6df7a
SHA1: 40cc3b142830dfe8f75558957b88bbe8b179008c
SHA256: 3025262328b6eee683b902f8c2e401aa5a6bd46c6691b367b840c193f3461389
SHA512: 2f85146db757f1d0bf8df470dcf399d613fe368f10b80e7d068e66318d8cbb17a3ff397c935677ea536ef3c239745a48d1c5c4bfefa71025ce438978066208c1
Homepage: https://cran.r-project.org/package=BAGofT
Description: CRAN Package 'BAGofT' (A Binary Regression Adaptive Goodness-of-Fit Test (BAGofT))
 The BAGofT assesses the goodness-of-fit of binary classifiers. Details can
 be found in Zhang, Ding and Yang (2021) <arXiv:1911.03063v2>.

Package: r-cran-baguette
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-parsnip, r-cran-butcher, r-cran-c50, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-furrr, r-cran-generics, r-cran-hardhat, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rpart, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-covr, r-cran-earth, r-cran-modeldata, r-cran-nnet, r-cran-recipes, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-baguette_1.1.0-1.ca2004.1_all.deb
Size: 152472
MD5sum: 363a264b2eb3b6d540c4f5177383372d
SHA1: 46aa9d327457241cd2d882eca7a0b7daa7432060
SHA256: 733cfd269f0da30f69cb1e1ceb63c95b28ff3fc0636b29b9b34dc151b4f936c7
SHA512: 770b63732d3100d68ea21a814d648bb2bb4746590fb8bf665c6c85719ed6a75cadc3ffb090bbcdecee9f2fe2c1916abb45f64981fdcf292127e5879a13e10b1b
Homepage: https://cran.r-project.org/package=baguette
Description: CRAN Package 'baguette' (Efficient Model Functions for Bagging)
 Tree- and rule-based models can be bagged (<doi:10.1007/BF00058655>) using
 this package and their predictions equations are stored in an efficient
 format to reduce the model objects size and speed.

Package: r-cran-bagyo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1571
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-pdftools, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bagyo_0.1.1-1.ca2004.1_all.deb
Size: 1422512
MD5sum: 21875519b90821978a48062220338c5f
SHA1: 03bc8861cad416bc4512ac567215ab079ff3868e
SHA256: 246228f88ea1bef55650d73643e126effc346c0b64868db07d05d970b1ae161f
SHA512: a338d67add10dbfe448da72c92162d330fdfa303aa7821eb2f7a808156945245f31c2c39170eb089b7ea0d44ab92227af6522249428172258293ddd204ffb7e2
Homepage: https://cran.r-project.org/package=bagyo
Description: CRAN Package 'bagyo' (Philippine Tropical Cyclones Data)
 The Philippines frequently experiences tropical cyclones (called 'bagyo' in
 the Filipino language) because of its geographical position.  These cyclones
 typically bring heavy rainfall, leading to widespread flooding, as well as
 strong winds that cause significant damage to human life, crops, and
 property. Data on cyclones are collected and curated by the Philippine
 Atmospheric, Geophysical, and Astronomical Services Administration or
 'PAGASA' and made available through its website
 <https://bagong.pagasa.dost.gov.ph/tropical-cyclone/publications/annual-report>.
 This package contains Philippine tropical cyclones data in a
 machine-readable format. It is hoped that this data package provides an
 interesting and unique dataset for data exploration and visualisation.

Package: r-cran-bahc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastcluster, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-bahc_0.3.0-1.ca2004.1_all.deb
Size: 19820
MD5sum: 9c69c87dc8b7d76e99877c99f81e3c74
SHA1: 850618ff97ef95030137d934be0a010412656d61
SHA256: 282daf6cec7a7defec04d18255bb47ce4fc38a9f1a310b6df0b22df4513ba281
SHA512: 40e200e4d1f84af312a5b199a014f1003398b63a3484cfd6efd780aba1a5e0d91f1c43d6ed72b7f3006dd80e69a831d7bca842a597881268b6301a4f2a00ba70
Homepage: https://cran.r-project.org/package=bahc
Description: CRAN Package 'bahc' (Filter Covariance and Correlation Matrices withBootstrapped-Averaged Hierarchical Ansatz)
 A method to filter correlation and covariance matrices by averaging
 bootstrapped filtered hierarchical clustering and boosting. See Ch.
 Bongiorno and D. Challet, Covariance matrix filtering with bootstrapped
 hierarchies (2020) <arXiv:2003.05807> and Ch. Bongiorno and D. Challet,
 Reactive Global Minimum Variance Portfolios with k-BAHC covariance cleaning
 (2020) <arXiv:2005.08703>.

Package: r-cran-bahzing
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3640
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-bayestestr, r-cran-dplyr, r-cran-magrittr, r-bioc-phyloseq, r-cran-pscl, r-cran-r2jags, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bahzing_1.0.0-1.ca2004.1_all.deb
Size: 3624372
MD5sum: 038d620bc0aed554177dbd5ee27b7abd
SHA1: 4e534e7211e9a9cea7867b709f50b6a19ea4062b
SHA256: d8a2f3873ea65030d6b586b6f7b4f88005a2672fefa561f9b5e34d31f978b5d1
SHA512: 4b378b91ef8647d6d2a065e910450315169c777354b319d90b3aebfc2b46b48d187ea23255e607f945745a0d8c1b6808ae8a0939ac774f9f45f1c899a7d9544c
Homepage: https://cran.r-project.org/package=BaHZING
Description: CRAN Package 'BaHZING' (Bayesian Hierarchical Zero-Inflated Negative Binomial Regressionwith G-Computation)
 A Bayesian model for examining the association between environmental
 mixtures and all Taxa measured in a hierarchical microbiome dataset in a
 single integrated analysis. Compared with analyzing the associations of
 environmental mixtures with each Taxa individually, 'BaHZING' controls Type
 1 error rates and provides more stable effect estimates when dealing with
 small sample sizes.

Package: r-cran-baizer
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-diffobj, r-cran-dplyr, r-cran-magrittr, r-cran-openxlsx, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rematch2, r-cran-rlang, r-cran-rmarkdown, r-cran-seriation, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-baizer_0.8.0-1.ca2004.1_all.deb
Size: 369076
MD5sum: 1784e1356e9295560ba7f79d4101e15f
SHA1: 4fd93a47b426eefece456a52b973d3437c0637ef
SHA256: d33b3cc007b50debb14bc9736a5a102ecbc74ba7f34f7abe4f362a3a4dc06bb3
SHA512: 5dd3b53e2a8fd8bc3415f89d20d7b9dfc889dcc1bf7c8464badf33dd0377eb711225fcc77d26b33557f346a733187f913802a1981dc147252e364beb33661e5f
Homepage: https://cran.r-project.org/package=baizer
Description: CRAN Package 'baizer' (Useful Functions for Data Processing)
 In ancient Chinese mythology, Bai Ze is a divine creature that knows the
 needs of everything.  'baizer' provides data processing functions frequently
 used by the author.  Hope this package also knows what you want!

Package: r-cran-bakeoff
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-tibble, r-cran-scales
Filename: pool/dists/focal/main/r-cran-bakeoff_0.2.0-1.ca2004.1_all.deb
Size: 232420
MD5sum: dc21d79c11d710ba4b9f7979aa082bcd
SHA1: 0ce37d1a0f9c39d196a62d44c8149717debc3818
SHA256: 7402dec0e4d9b828c951529d67f2de168430079ebd77178a57db934dd9ef83d2
SHA512: 5f03f80bb132696949652c607b53b77394f3e4c5996ba203d8536b7f93f869a73dcc3661274e2e6da678afe155f1a84389dde1ecf246e56dc0c4b74d98feb8ea
Homepage: https://cran.r-project.org/package=bakeoff
Description: CRAN Package 'bakeoff' (Data from "The Great British Bake Off")
 Data about the bakers, challenges, and ratings for "The Great British Bake
 Off", from Wikipedia
 <https://en.wikipedia.org/wiki/The_Great_British_Bake_Off>.

Package: r-cran-baker
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1885
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjags, r-cran-r2jags, r-cran-lubridate, r-cran-binom, r-cran-coda, r-cran-robcompositions, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-reshape2, r-cran-mgcv, r-cran-mvbutils, r-cran-shinyfiles, r-cran-shinydashboard, r-cran-abind
Suggests: r-cran-spelling, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr, r-cran-knitcitations, r-cran-sf
Filename: pool/dists/focal/main/r-cran-baker_1.0.3-1.ca2004.1_all.deb
Size: 1686756
MD5sum: e22e23c1d20aff2482e4ed8451f48002
SHA1: 8dc3e925b4f7c610227ad179f7807aa44e4e2fec
SHA256: c6588bb1f2168ca04adae72915966b1cffd17eb97ea0e5397c928d327dedfa8f
SHA512: 41535fb39349249aa2013731946c964dfa1739e2a29c87023c1a2642b776ffb874667533a0017d0c79a33848e125e9fa6671206e3b0c9abfd6c3bbca07c60416
Homepage: https://cran.r-project.org/package=baker
Description: CRAN Package 'baker' ("Nested Partially Latent Class Models")
 Provides functions to specify, fit and visualize nested partially-latent
 class models ( Wu, Deloria-Knoll, Hammitt, and Zeger (2016)
 <doi:10.1111/rssc.12101>; Wu, Deloria-Knoll, and Zeger (2017)
 <doi:10.1093/biostatistics/kxw037>; Wu and Chen (2021)
 <doi:10.1002/sim.8804>) for inference of population disease etiology and
 individual diagnosis. In the motivating Pneumonia Etiology Research for
 Child Health (PERCH) study, because both quantities of interest sum to one
 hundred percent, the PERCH scientists frequently refer to them as population
 etiology pie and individual etiology pie, hence the name of the package.

Package: r-cran-balancecheck
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-balancecheck_0.2-1.ca2004.1_all.deb
Size: 435392
MD5sum: f0455fea534cafeadfd8bc417e14c313
SHA1: a32752a88da68288d26f01e4ef845b2e7f252204
SHA256: d275b0e53c2c78af901526d78a93a3606505eb7cb60d39216569b0119f63f9b8
SHA512: 254f250098135f1c255c3f9bc9324fe2b4e78dfa7095faa2894e95b2da38bae8793a50092d11a0c17c6a32dc5a347ee07b0709a0bcffa7e21db514703ea53814
Homepage: https://cran.r-project.org/package=BalanceCheck
Description: CRAN Package 'BalanceCheck' (Balance Check for Multiple Covariates in Matched ObservationalStudies)
 Two practical tests are provided for assessing whether multiple covariates
 in a treatment group and a matched control group are balanced in
 observational studies.

Package: r-cran-balcony
Architecture: all
Version: 0.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-rpdb, r-cran-scales, r-cran-dplyr, r-bioc-biostrings, r-cran-readr, r-cran-progress
Filename: pool/dists/focal/main/r-cran-balcony_0.2.10-1.ca2004.1_all.deb
Size: 387008
MD5sum: eca31e60bcfa4f061b651589d4c2866e
SHA1: a0e28aa964887b4b9b11eb4c0e1616bbd0871921
SHA256: acdc61183c4fee0e4fa985376cd43e4f11bad3f4ab76e4535f984e1f46d90d09
SHA512: abcb3028a0893c5f3d053524e60a9e98ed95e573e8aec2be4601469169f1b4786d4d9450f4a0826f9c20bee206f972948a41361a4401d13499b57453ccf1f260
Homepage: https://cran.r-project.org/package=BALCONY
Description: CRAN Package 'BALCONY' (Better ALignment CONsensus analYsis)
 Facilitates the evolutionary analysis and structure conservation study of
 specified amino acids in proteins.

Package: r-cran-balli
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-edger, r-bioc-limma, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-balli_0.2.0-1.ca2004.1_all.deb
Size: 144852
MD5sum: 7e4b8d68118a4bda915c08878d594013
SHA1: 4cdfc496714d22ae5cba7d91597a1c295b71de56
SHA256: 7b7bbc5c3564ca25e7a989a335b60916473a3f6682392fc283fa0352280bb7b4
SHA512: 45244e571d5289936e35fa27f51fe8ffb22770db1f2f958c74507fbdf243fd6e430860792476fa5e9367912569266f8485bbaf0b1c9946b3970efb4a8bea832f
Homepage: https://cran.r-project.org/package=BALLI
Description: CRAN Package 'BALLI' (Expression RNA-Seq Data Analysis Based on Linear Mixed Model)
 Analysis of gene expression RNA-seq data using Bartlett-Adjusted
 Likelihood-based LInear model (BALLI). Based on likelihood ratio test, it
 provides comparisons for effect of one or more variables. See Kyungtaek Park
 (2018) <doi:10.1101/344929> for more information.

Package: r-cran-ballmapper
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-scales, r-cran-networkd3, r-cran-testthat, r-cran-fields, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ballmapper_0.2.0-1.ca2004.1_all.deb
Size: 77148
MD5sum: e00042a390330ef6139fef268c5a1a03
SHA1: fd7067e721367c84846e01b541abcda7cb50f37a
SHA256: 3a0515462e4602c700b798a5d44d4a2799c7f26d36fb894bd43f93e8cafc50c4
SHA512: 08da8669ade544d101ee6586f16cd9a5490126eacc6f8ccbf59953003dbde5f8edb3b0560df2aaabc100bc85ea5fe777b8645a26c1a8bd4c39e5b7d5aa97a4bc
Homepage: https://cran.r-project.org/package=BallMapper
Description: CRAN Package 'BallMapper' (The Ball Mapper Algorithm)
 The core algorithm is described in "Ball mapper: a shape summary for
 topological data analysis" by Pawel Dlotko, (2019) <arXiv:1901.07410>.
 Please consult the following youtube video
 <https://www.youtube.com/watch?v=M9Dm1nl_zSQfor> the idea of functionality.
 Ball Mapper provide a topologically accurate summary of a data in a form of
 an abstract graph. To create it, please provide the coordinates of points
 (in the points array), values of a function of interest at those points (can
 be initialized randomly if you do not have it) and the value epsilon which
 is the radius of the ball in the Ball Mapper construction. It can be
 understood as the minimal resolution on which we use to create the model of
 the data.

Package: r-cran-bam
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-mice
Suggests: r-cran-coda, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-bam_1.0.3-1.ca2004.1_all.deb
Size: 205212
MD5sum: a68908d5f5b30cc1abfe60b911b5a16f
SHA1: 739ac55fc93e12088ed65b046b4b22f946ad3b03
SHA256: bbf160ad2495acff176890d09624c471fa7f07803e24a513634b80464d00525f
SHA512: 42ae6ed14eac6b4d5959ed36c6e3bfb314eb3d888cb575e592193fd1082bb271da1e66f35cd812eff4b4f6f5c9b2c2bd711fb85954e7a792141c9615b59187dc
Homepage: https://cran.r-project.org/package=BaM
Description: CRAN Package 'BaM' (Functions and Datasets for "Bayesian Methods: A Social andBehavioral Sciences Approach")
 Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and
 Behavioral Sciences Approach". First, Second, and Third Edition. Published
 by Chapman and Hall/CRC (2002, 2007, 2014) <doi:10.1201/b17888>.

Package: r-cran-bamboo
Architecture: all
Version: 0.9.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3892
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rscala
Filename: pool/dists/focal/main/r-cran-bamboo_0.9.25-1.ca2004.1_all.deb
Size: 3847212
MD5sum: a1a91ee392f7193bb49ce051c700f6eb
SHA1: 5994b4fa520379cee6f458117a7a311acecdc4a5
SHA256: fe8f6b77e2959c52b908b1e4053a12152641d67705fb18bb9281fb8a1cc7feba
SHA512: f310c516963a5e86013f4bc18847f21881646190a86a430b8ac0bce8c708f22d855365b4b4ea35ed47f59a5e7463d5e8673c9a25569ffab1fb8a0de79264c8cf
Homepage: https://cran.r-project.org/package=bamboo
Description: CRAN Package 'bamboo' (Protein Secondary Structure Prediction Using the Bamboo Method)
 Implementation of the Bamboo methods described in Li, Dahl, Vannucci, Joo,
 and Tsai (2014) <DOI:10.1371/journal.pone.0109832>.

Package: r-cran-bamboohr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 878
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-glue, r-cran-httr, r-cran-curl, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-lubridate, r-cran-janitor, r-cran-stringr, r-cran-cli, r-cran-withr
Suggests: r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bamboohr_0.1.1-1.ca2004.1_all.deb
Size: 328436
MD5sum: 0db787a42c2a6ba4edb77a1af334d6f5
SHA1: ace3ca8dc61c66930c1d24077ee6a38d18b5143e
SHA256: 536c4831d3db1043354320760308256c9bf5639be422986a2a449b0630b0ad3a
SHA512: 37600c766eb357a0b2f69148415f428193f688151678f87831cc3860c6a8a94a0e4ab74bed8a43611cbc9c3816faaa503c66d5ca5ac1a86c8f605637734ca69e
Homepage: https://cran.r-project.org/package=bambooHR
Description: CRAN Package 'bambooHR' (A Wrapper to the 'BambooHR' API)
 Enables a user to consume the 'BambooHR' API endpoints using R. The actual
 URL of the API will depend on your company domain, and will be handled by
 the package automatically once you setup the config file. The API
 documentation can be found here <https://documentation.bamboohr.com/docs>.

Package: r-cran-bamdit
Architecture: all
Version: 3.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-r2jags, r-cran-ggplot2, r-cran-ggextra, r-cran-mass, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-bamdit_3.4.4-1.ca2004.1_all.deb
Size: 143100
MD5sum: c76f46901a0cff45f054742792c03195
SHA1: 1f33494d3a88f012635b7ae1a65d0180881655c6
SHA256: b24e9c81ccd3f9a809e979c26106bd4d7d2bf46b05aba77cfe77ccb49a47aceb
SHA512: a2ed360b07201ee5eba6b72c1d8c9661c55b67c341238225af80715c3a1c7209f8cf05cb9847be5a4276283e98b1e242a8b6e142b4b238e5764bc51d2c9ed115
Homepage: https://cran.r-project.org/package=bamdit
Description: CRAN Package 'bamdit' (Bayesian Meta-Analysis of Diagnostic Test Data)
 Provides a new class of Bayesian meta-analysis models that incorporates a
 model for internal and external validity bias. In this way, it is possible
 to combine studies of diverse quality and different types. For example, we
 can combine the results of randomized control trials (RCTs) with the results
 of observational studies (OS).

Package: r-cran-banam
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bfpack, r-cran-matrix, r-cran-extradistr, r-cran-matrixcalc, r-cran-mvtnorm, r-cran-rarpack, r-cran-tmvtnorm, r-cran-psych, r-cran-sna, r-cran-bain
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-banam_0.2.2-1.ca2004.1_all.deb
Size: 620092
MD5sum: 35bfd30408bfc75d39949fa4377170aa
SHA1: 84d38c2e147aa0c32c12f516943d2c1321f38d71
SHA256: 565b6f3f8ac8269b79c096d909dc82b20e1d3ad9809d287a4591c00464492684
SHA512: 8346450dc4a6929090561db4c4ad37e16413b6a9de8b408d4495ccfee15bb458a83a4225f1b07686ae91b51b8abfe22e1292bea0ff4cd3e9ef7278dd531d1090
Homepage: https://cran.r-project.org/package=BANAM
Description: CRAN Package 'BANAM' (Bayesian Analysis of the Network Autocorrelation Model)
 The network autocorrelation model (NAM) can be used for studying the degree
 of social influence regarding an outcome variable based on one or more known
 networks.  The degree of social influence is quantified via the network
 autocorrelation parameters. In case of a single network, the Bayesian
 methods of Dittrich, Leenders, and Mulder (2017)
 <DOI:10.1016/j.socnet.2016.09.002> and Dittrich, Leenders, and Mulder (2019)
 <DOI:10.1177/0049124117729712> are implemented using a normal, flat, or
 independence Jeffreys prior for the network autocorrelation. In the case of
 multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder
 (2020) <DOI:10.1177/0081175020913899> are implemented using a multivariate
 normal prior for the network autocorrelation parameters. Flat priors are
 implemented for estimating the coefficients. For Bayesian testing of
 equality and order-constrained hypotheses, the default Bayes factor of Gu,
 Mulder, and Hoijtink, (2018) <DOI:10.1111/bmsp.12110> is used with the
 posterior mean and posterior covariance matrix of the NAM parameters based
 on flat priors as input.

Package: r-cran-bandicoot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bandicoot_1.0.0-1.ca2004.1_all.deb
Size: 148088
MD5sum: b984acf256ccb98a3be2139f02063ea4
SHA1: cf5ecfaf293a468468ebcdb0b08ceb392ad055bc
SHA256: 447f7d7c86a8dfb45d596c0dbe438f731dd4a51242ab43ba0707bbe50cf34abe
SHA512: 0e631e39d1a142c3ade237a1c33c0d3099779c56ef11615f17184f4b2adcdb21e1d714a741290a4caaca974bbd902e675c9ee4b78381b9236334cd4223b9f77e
Homepage: https://cran.r-project.org/package=bandicoot
Description: CRAN Package 'bandicoot' (Light-Weight 'python'-Like Object-Oriented System)
 A light-weight object-oriented system with 'python'-like syntax which
 supports multiple inheritances and incorporates a 'python'-like method
 resolution order.

Package: r-cran-bandit
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-gam
Filename: pool/dists/focal/main/r-cran-bandit_0.5.1-1.ca2004.1_all.deb
Size: 45052
MD5sum: 503fe87bef56bff967f6f8b323dfe205
SHA1: 975925f293af55b4cdb4cd9b4a04907ab56bbd3d
SHA256: ac3106aa7c8bf1f1c050553a9567f6d9f785fc6209b06c3e49471368bd4a9fc4
SHA512: 69ebf3da58c33a389c5a29139bcafe6c683170992ca3defdc7e2050ba7c74e3ede37ef217a3113a0da256049df41ceb0fdd2d1b8cc67e5a7e0a01fd4fb5797e1
Homepage: https://cran.r-project.org/package=bandit
Description: CRAN Package 'bandit' (Functions for Simple a/B Split Test and Multi-Armed BanditAnalysis)
 A set of functions for doing analysis of A/B split test data and web metrics
 in general.

Package: r-cran-banditsci
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1638
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-mvtnorm, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-banditsci_1.0.0-1.ca2004.1_all.deb
Size: 1033204
MD5sum: 3ffe6e379230af2aa2d63e792d355d6b
SHA1: 2e2b42e8b74be9bd550b1f26dfcff2f860e55c9f
SHA256: 4f25ee5bcd00d18bc1497f2e48c6c1db7c7867d6227f9882b288c89d6bad0bde
SHA512: 7506dcb59a7f6eae95a4f5f10f8d9dfc51985725011d64d1bd4588d8367f74c3164df3306595f7f26fe61bd41e7306f1f1f2d61505cc28dde18abbc5a8a17346
Homepage: https://cran.r-project.org/package=banditsCI
Description: CRAN Package 'banditsCI' (Bandit-Based Experiments and Policy Evaluation)
 Frequentist inference on adaptively generated data. The methods implemented
 are based on Zhan et al. (2021) <doi:10.48550/arXiv.2106.02029> and Hadad et
 al. (2021) <doi:10.48550/arXiv.1911.02768>. For illustration, several
 functions for simulating non-contextual and contextual adaptive experiments
 using Thompson sampling are also supplied.

Package: r-cran-bandsfdp
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bandsfdp_1.1.0-1.ca2004.1_all.deb
Size: 53532
MD5sum: bc208009c558fc4394742eb1c14ab2ea
SHA1: 7d627dd32b7107c0fe70ca26e4f7fb97fb53126c
SHA256: b2a0c765f88f38c7b298638a32b8a503bfff11e0b002e732d6018388b109f7c0
SHA512: c45f5ded860e3df00d28bc378e9da191a0e145c7ed5380c3959c03311032dbf1dd1836ad2863bfbf5c448cbd63b4ea35dc00576bd8cdc3bde90e9a227e319386
Homepage: https://cran.r-project.org/package=bandsfdp
Description: CRAN Package 'bandsfdp' (Compute Upper Prediction Bounds on the FDP in Competition-BasedSetups)
 Implements functions that calculate upper prediction bounds on the false
 discovery proportion (FDP) in the list of discoveries returned by
 competition-based setups, implementing Ebadi et al. (2022)
 <arXiv:2302.11837>. Such setups include target-decoy competition (TDC) in
 computational mass spectrometry and the knockoff construction in linear
 regression (note this package typically uses the terminology of TDC).
 Included is the standardized (TDC-SB) and uniform (TDC-UB) bound on TDC's
 FDP, and the simultaneous standardized and uniform bands. Requires
 pre-computed Monte Carlo statistics available at
 <https://github.com/uni-Arya/fdpbandsdata>. This data can be downloaded by
 running the command 'devtools::install_github("uni-Arya/fdpbandsdata")' in R
 and restarting R after installation. The size of this data is roughly 81Mb.

Package: r-cran-banffit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-crayon, r-cran-stringr, r-cran-fs, r-cran-lubridate, r-cran-tidyr, r-cran-fabr, r-cran-madshapr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-banffit_1.0.0-1.ca2004.1_all.deb
Size: 200400
MD5sum: e71db07874baf6dcff432cb68c8c5753
SHA1: 317c31c7ecf0d9e07782a0f533190aee16f5a472
SHA256: dd27c601ff6aab2c0ed8157b05c3ddd0d23bb9ca38a250b60503d0343cc72168
SHA512: 2b4aaf267d4c6ed176f87d118feb921101446374e7bf9f4317799fee0864d27d97a48c4b3f70ab4b20918f01cca059bdb659e8f46c8fffdaf328d9887df38a11
Homepage: https://cran.r-project.org/package=banffIT
Description: CRAN Package 'banffIT' (Automatize Diagnosis Standardized Assignation Using the BanffClassification)
 Assigns standardized diagnoses using the Banff Classification (Category 1 to
 6 diagnoses, including Acute and Chronic active T-cell mediated rejection as
 well as Active, Chronic active, and Chronic antibody mediated rejection).
 The main function considers a minimal dataset containing biopsies
 information in a specific format (described by a data dictionary), verifies
 its content and format (based on the data dictionary), assigns diagnoses,
 and creates a summary report. The package is developed on the reference
 guide to the Banff classification of renal allograft pathology Roufosse C,
 Simmonds N, Clahsen-van Groningen M, et al. A (2018)
 <doi:10.1097/TP.0000000000002366>.  The full description of the Banff
 classification is available at <https://banfffoundation.org/>.

Package: r-cran-bang
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesplot, r-cran-rust
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bang_1.0.4-1.ca2004.1_all.deb
Size: 306876
MD5sum: a6d08a37a3d6a84c56387c177dcfbf6c
SHA1: 5fe4b23afc4b3c17a9abdca560ae2233b6f37c35
SHA256: 4c43b5b9a56fefd97d3560eda683745f6b8c9645f4242148d8da580ca480ff47
SHA512: 040e94f28f671ec4ce779c4ca8025daed1ce7fb7cc6975366c6e32406286c54b7d8ca65cabd57115cb1a57ed3785d3c1ad4000f9ec8fd33cbacc6638d736a035
Homepage: https://cran.r-project.org/package=bang
Description: CRAN Package 'bang' (Bayesian Analysis, No Gibbs)
 Provides functions for the Bayesian analysis of some simple commonly-used
 models, without using Markov Chain Monte Carlo (MCMC) methods such as Gibbs
 sampling.  The 'rust' package <https://cran.r-project.org/package=rust> is
 used to simulate a random sample from the required posterior distribution,
 using the generalized ratio-of-uniforms method.  See Wakefield, Gelfand and
 Smith (1991) <DOI:10.1007/BF01889987> for details. At the moment three
 conjugate hierarchical models are available: beta-binomial, gamma-Poisson
 and a 1-way analysis of variance (ANOVA).

Package: r-cran-bangladesh
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5812
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tmap, r-cran-sf
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-bangladesh_1.0.0-1.ca2004.1_all.deb
Size: 5464684
MD5sum: f459924762f876f3b071f8c4f87eab73
SHA1: 5d3be584d42be21ca4baeb823c4f031100f157cf
SHA256: 8c517a1faae40f355629d6c22b1f6fa6736f4e2101276a91abea5e362463aee1
SHA512: f80c24cab11cc30e50f44ed746b570f7de8c8e0979615f64acf7b3f43064ae14908ec6cd096e38dcf61f2f480f7d4fffbfaeb68f93976a2caab7559059c28ffd
Homepage: https://cran.r-project.org/package=bangladesh
Description: CRAN Package 'bangladesh' (Provides Ready to Use Shapefiles for Geographical Map ofBangladesh)
 Usually, it is difficult to plot choropleth maps for Bangladesh in 'R'.  The
 'bangladesh' package provides ready-to-use shapefiles for different
 administrative regions of Bangladesh (e.g., Division, District, Upazila, and
 Union).  This package helps users to draw thematic maps of administrative
 regions of Bangladesh easily as it comes with the 'sf' objects for the
 boundaries.  It also provides functions allowing users to efficiently get
 specific area maps and center coordinates for regions. Users can also search
 for a specific area and calculate the centroids of those areas.

Package: r-cran-bannercommenter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-bannercommenter_1.0.0-1.ca2004.1_all.deb
Size: 202612
MD5sum: 91e2dff86fae459293b9a16f864284ff
SHA1: 7092e055f4f3d99bf73399f789725a732b4f9a8a
SHA256: 316ea4837b4ab39efd276bddde2aacfc95e84cab080048c666a0fd5a9d199748
SHA512: 15b27a75772fe6b80eed7a49cf1a9888c6e72810d1e393ae33939b3f8eecb52fd0339e4b28efc9decf08a2409740b34f929ae0d8e4e6e3adecb0ccdcad5b0420
Homepage: https://cran.r-project.org/package=bannerCommenter
Description: CRAN Package 'bannerCommenter' (Make Banner Comments with a Consistent Format)
 A convenience package for use while drafting code.  It facilitates making
 stand-out comment lines decorated with bands of characters.  The input text
 strings are converted into R comment lines, suitably formatted. These are
 then displayed in a console window and, if possible, automatically
 transferred to a clipboard ready for pasting into an R script.  Designed to
 save time when drafting R scripts that will need to be navigated and
 maintained by other programmers.

Package: r-cran-banter
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1872
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-randomforest, r-cran-rfpermute, r-cran-rlang, r-cran-swfscmisc, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-banter_0.9.8-1.ca2004.1_all.deb
Size: 1846716
MD5sum: 95353f4eeab3c1bd384094b4bffa2b0a
SHA1: 34daecdbfdfe6ca59975bb4617de0e3512d2660c
SHA256: 1145ac91a03be84ecb0886a911e3088986c1ac4b427edbfe4ffe73a9fc906fb3
SHA512: fe6a24a28772e000968c233f9619e9e37e6de326dc02884f06e809e0f1c97c305ce17f21c9e820edb2013ae27fa878d28dcde581178f75303f4fbdbd06a2e509
Homepage: https://cran.r-project.org/package=banter
Description: CRAN Package 'banter' (BioAcoustic eveNT classifiER)
 Create a hierarchical acoustic event species classifier out of multiple call
 type detectors as described in Rankin et al (2017) <doi:10.1111/mms.12381>.

Package: r-cran-banxicor
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-stringr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-banxicor_0.9.0-1.ca2004.1_all.deb
Size: 24416
MD5sum: 267523e61e0279d1ffa3e0bacc34626f
SHA1: ada0d82756f0604e310ba1a942ffd6e76f279108
SHA256: 445e0d6a3df8fb796305483ddf1bb5f84a707b6592dc2baf205bc984f81e3add
SHA512: 4f3e0e36e0b9d42ad3cc4f2cb3a30e2601b13e46677096306c3e03e03206430f14ae1e1af8ef0efb9a27170926f3d72b1340ce9525a73a5554644cb13b457938
Homepage: https://cran.r-project.org/package=banxicoR
Description: CRAN Package 'banxicoR' (Download Data from the Bank of Mexico)
 Provides functions to scrape IQY calls to Bank of Mexico, downloading and
 ordering the data conveniently.

Package: r-cran-baorista
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-baorista_0.2.1-1.ca2004.1_all.deb
Size: 184832
MD5sum: be3f840787ab750615609c5702549e72
SHA1: 74494febba5576078f69f0042b597ef51612d615
SHA256: 70e9625e3f0acd130151a255c99a31afc9aa1fb38d37a58b576982eda04639bb
SHA512: 0331d42bc0ad6cdd5842412eb466492010916bd46a66979faa9ab28c77f84ea77181e24b16a5fadb8996fb5387b3704b1a92c8fdc1f947f008fc2b984e5a0c12
Homepage: https://cran.r-project.org/package=baorista
Description: CRAN Package 'baorista' (Bayesian Aoristic Analyses)
 Provides an alternative approach to aoristic analyses for archaeological
 datasets by fitting Bayesian parametric growth models and non-parametric
 random-walk Intrinsic Conditional Autoregressive (ICAR) models on time
 frequency data (Crema (2024)<doi:10.1111/arcm.12984>). It handles event
 typo-chronology based timespans defined by start/end date as well as more
 complex user-provided vector of probabilities.

Package: r-cran-bapred
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 912
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glmnet, r-cran-lme4, r-cran-mass, r-bioc-sva, r-bioc-affyplm, r-cran-fnn, r-cran-fuzzyranktests, r-cran-mnormt, r-bioc-affy, r-bioc-biobase
Suggests: r-bioc-arrayexpress
Filename: pool/dists/focal/main/r-cran-bapred_1.1-1.ca2004.1_all.deb
Size: 896748
MD5sum: 15fc0904cd474e7e2838a26c70d8a1ad
SHA1: 06d21860e2d3eb7bbd1baea1d46e137ba2ac2e1a
SHA256: ae4690e7c41da686f12e4a0c42023dfbeccd8e9b1fb5bdffe9772e4674260168
SHA512: 25a6be4ec84eadafd9e205094748d137f5dabc41e370d052673caa8841437757fa2fcdbd7fa78e743c6f99ba999e68037f23379260cbd667f13374e2db2462ad
Homepage: https://cran.r-project.org/package=bapred
Description: CRAN Package 'bapred' (Batch Effect Removal and Addon Normalization (in PhenotypePrediction using Gene Data))
 Various tools dealing with batch effects, in particular enabling the removal
 of discrepancies between training and test sets in prediction scenarios.
 Moreover, addon quantile normalization and addon RMA normalization (Kostka &
 Spang, 2008) is implemented to enable integrating the quantile normalization
 step into prediction rules. The following batch effect removal methods are
 implemented: FAbatch, ComBat, (f)SVA, mean-centering, standardization,
 Ratio-A and Ratio-G.  For each of these we provide an additional function
 which enables a posteriori ('addon') batch effect removal in independent
 batches ('test data'). Here, the (already batch effect adjusted) training
 data is not altered. For evaluating the success of batch effect adjustment
 several metrics are provided. Moreover, the package implements a plot for
 the visualization of batch effects using principal component analysis. The
 main functions of the package for batch effect adjustment are ba() and
 baaddon() which enable batch effect removal and addon batch effect removal,
 respectively, with one of the seven methods mentioned above. Another
 important function here is bametric() which is a wrapper function for all
 implemented methods for evaluating the success of batch effect removal. For
 (addon) quantile normalization and (addon) RMA normalization the functions
 qunormtrain(), qunormaddon(), rmatrain() and rmaaddon() can be used.

Package: r-cran-baprestopro
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-baprestopro_0.1-1.ca2004.1_all.deb
Size: 322444
MD5sum: 3dbf85e6814e3f77c8a15243d1ed450b
SHA1: 012cfdf14ee881ad5c908fc72f9f273882ad40e8
SHA256: 45050d4bb0c2133dea2e4f30df2e78a3df8daf01ab0fe12fb58d16798398e48c
SHA512: 1ff520514e435f8b6d9804bcd5d3a9254ead22ef00749ba87f681223a18c657729fba2b533df507726cb9e2fdf10935bcee32a7199721b89d51a4f5784e27675
Homepage: https://cran.r-project.org/package=BaPreStoPro
Description: CRAN Package 'BaPreStoPro' (Bayesian Prediction of Stochastic Processes)
 Bayesian estimation and prediction for stochastic processes based on the
 Euler approximation. Considered processes are: jump diffusion, (mixed)
 diffusion models, hidden (mixed) diffusion models, non-homogeneous Poisson
 processes (NHPP), (mixed) regression models for comparison and a regression
 model including a NHPP.

Package: r-cran-bar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bar_0.1.1-1.ca2004.1_all.deb
Size: 43636
MD5sum: 7272550b44644658c4d9108058ae1366
SHA1: d73860e34f1ef09d01b8880838c24cc1638251e0
SHA256: b18f6f54ac55aa6485c39ac5832d3dacf475e033c5640426f2caf15ab152f406
SHA512: 2c351cc3f98b671f0170e6eeef85ab50c6bf9252168f5f1daccbe44dce2632dd13b5d3930f74dd3b0e8c453e5e7415e0eb0f02f33e38722191b46e5719078d3b
Homepage: https://cran.r-project.org/package=BAR
Description: CRAN Package 'BAR' (Bayesian Adaptive Randomization)
 Bayesian adaptive randomization is also called outcome adaptive
 randomization, which is increasingly used in clinical trials.

Package: r-cran-barborgradient
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-barborgradient_1.0.5-1.ca2004.1_all.deb
Size: 36376
MD5sum: 9b78bd3ef5d8c326b162c79508358723
SHA1: 7a9941ae4e4615d5ba9db14ef6eb28b78d0dbd39
SHA256: 4275dde89bac387ddfc6395e6f4ad744e090404ac379d25f7eee99f9432ed35b
SHA512: 7129d4d0c310fe980bddf906183b8949c368e1d642ee5ec1775ca634b945a634ac84b923cd2fd77fcbf320cf2455b4f57cfe20db25c2e7a481ef150c43d07053
Homepage: https://cran.r-project.org/package=BarBorGradient
Description: CRAN Package 'BarBorGradient' (Function Minimum Approximator)
 Tool to find where a function has its lowest value(minimum). The functions
 can be any dimensions. Recommended use is with eps=10^-10, but can be run
 with 10^-20, although this depends on the function. Two more methods are in
 this package, simple gradient method (Gradmod) and Powell method (Powell).
 These are not recommended for use, their purpose are purely for comparison.

Package: r-cran-barcode
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-barcode_1.4.0-1.ca2004.1_all.deb
Size: 153312
MD5sum: 52d62cc126c5651ac35be31e7fc50bd6
SHA1: d7aafd0fd5b6d1d3174a116642e2659c7e433bbf
SHA256: e2a8475109b1156d1a6a2b4254ee68b78cc4d0ded87aab04c4970730bddb8f0c
SHA512: a56bd5f4cf1a74e11288716f7caf4974bb98f40d6c7bd66a8669daca21498bfe1834cc1f6a422b946387509a5769ed77fe85714eea263da53c18e502bdb49a38
Homepage: https://cran.r-project.org/package=barcode
Description: CRAN Package 'barcode' (Render Barcode Distribution Plots)
 The function \code{barcode()} produces a histogram-like plot of a
 distribution that shows granularity in the data.

Package: r-cran-barcoder
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1299
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-qrcode, r-cran-dt, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-barcoder_0.1.7-1.ca2004.1_all.deb
Size: 909340
MD5sum: 15f0c4f964ed52c82cdc311448b430b0
SHA1: 4a1bbecde0ab5d367fa76f6df277c929995659a9
SHA256: 31914d7b2fb417faba34d97d110066fd8f828494862ebbcf6449b3f317cab272
SHA512: 3ee2ccfa7a16a41e9911527999ea0f2103fc939169fb4e4a34b2d20bfab4fdb8dc12485da4eeaf056dab184e7c1626dfbcd556de116e6e88e1aa9bce140d7a9d
Homepage: https://cran.r-project.org/package=baRcodeR
Description: CRAN Package 'baRcodeR' (Label Creation for Tracking and Collecting Data from BiologicalSamples)
 Tools to generate unique identifier codes and printable barcoded labels for
 the management of biological samples.  The creation of unique ID codes and
 printable PDF files can be initiated by standard commands, user prompts, or
 through a GUI addin for R Studio. Biologically informative codes can be
 included for hierarchically structured sampling designs.

Package: r-cran-barcodingr
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-nnet, r-cran-class, r-cran-sp
Suggests: r-cran-cluster
Filename: pool/dists/focal/main/r-cran-barcodingr_1.0-3-1.ca2004.1_all.deb
Size: 219344
MD5sum: 957670ec767686dc605acd11e5c96a55
SHA1: 8b86bb6e98127b18bb48cdd18bf3b48f0a941a55
SHA256: 3e406f07e9928d90db33571d39cccd683246d764ae122ef1faa7dfe7afbcfb23
SHA512: 4bf70ef2c41151b72fe097e93d644da4541459c9c9dbdd27bb40d748f9e32289c7248b179aeb2ec154998f5d702e7300fd3d0975a252242dd6a66725e3bffb72
Homepage: https://cran.r-project.org/package=BarcodingR
Description: CRAN Package 'BarcodingR' (Species Identification using DNA Barcodes)
 To perform species identification using DNA barcodes.

Package: r-cran-bardr
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4696
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bardr_0.0.9-1.ca2004.1_all.deb
Size: 4641448
MD5sum: 26cad1dec2a60cb83f488fa49594fd06
SHA1: ce35f166baa95f7ddad19ae68eccc3a6042e27cc
SHA256: a228aad02f510537e25654a62fea0c2614830f8145c03c408d2ecfc61606586f
SHA512: bac27eac57d3946fe560e9dc84e4aaf4ef990797c3349b4b1a2736315bb87de8e4b10541124c7c3197ccd0304e210b2db2ae68b17b4e1430b992f40b8f7aede3
Homepage: https://cran.r-project.org/package=bardr
Description: CRAN Package 'bardr' (Complete Works of William Shakespeare in Tidy Format)
 Provides R data structures for Shakespeare's complete works, as provided by
 Project Gutenberg <https:www.gutenberg.org/ebooks/100>.

Package: r-cran-baris
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-data.table, r-cran-downloader, r-cran-sf, r-cran-xml, r-cran-httr, r-cran-rgdal, r-cran-janitor, r-cran-rio, r-cran-jsonlite, r-cran-stringr, r-cran-memoise, r-cran-stringi, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-checkmate, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-baris_1.1.3-1.ca2004.1_all.deb
Size: 164008
MD5sum: b64a8d71aeb81dc81d512e5f623c4b97
SHA1: 2786159ccc2e384551b61d6fcf9fa859832ece27
SHA256: 2ec244956f2d5d596adeb8e42f918cdd34c8792ad8cfaf4cdefe63c57ad093ea
SHA512: f9c4bbeb479a6500e542aa4e636a5d024ced7b501a8a54a8f5b23526d3026ff227e0af2958ae93d29482eccec994abfbf6d28a1401730bdb8958660a8afb628f
Homepage: https://cran.r-project.org/package=BARIS
Description: CRAN Package 'BARIS' (Access and Import Data from the French Open Data Portal)
 Allows the user to access and import data from the rich French open data
 portal through the provided free API
 <https://doc.data.gouv.fr/api/reference/>.  The portal is free, and no
 credential is required for extracting datasets.

Package: r-cran-barplot3d
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-barplot3d_1.0.1-1.ca2004.1_all.deb
Size: 398672
MD5sum: f2a837487b9b58678f2e9a995334c734
SHA1: 43910ed90398835625b4aad2dc5dce041bbdc506
SHA256: da3b23321b5e2516f52ed06d6bb5b9c2ebe5c29ba0798fca5b666913a6e22b22
SHA512: d7e81b2eadc630144661d29740058b430c0294584240531bd5d353a2c0f804dd611f908d0bbf31df889d428d206cafd99678301e26168c674ddf616bf90eea40
Homepage: https://cran.r-project.org/package=barplot3d
Description: CRAN Package 'barplot3d' (Create 3D Barplots)
 Creates 3D barplots. Includes a function for sequence context plots used in
 DNA sequencing analysis.

Package: r-cran-barrks
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3240
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-terra, r-cran-rdpack, r-cran-lubridate, r-cran-readr, r-cran-stringr
Suggests: r-cran-devtools, r-cran-geosphere, r-cran-knitr, r-cran-mnormt, r-cran-ncdf4, r-cran-rlang, r-cran-rmarkdown, r-cran-suncalc, r-cran-tidyverse, r-cran-tinytest, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-barrks_1.1.1-1.ca2004.1_all.deb
Size: 2031796
MD5sum: c593fc77024482b5eb62fc1b94f3ac50
SHA1: 3793e5d3448204fed57c02712c5c55a56c6a975a
SHA256: 947f42ecf496ac27e9163bd361b7287478b6174a3ff5d85544cfb190223df09a
SHA512: 9b46e90ff00d74112983693b79f95ef5daffbe4b64326ad166a9c4c958a7fc10adb08824b8fc5dafb231affb179641d0aaac81ecff9857ba68944adf3f08944f
Homepage: https://cran.r-project.org/package=barrks
Description: CRAN Package 'barrks' (Calculate Bark Beetle Phenology Using Different Models)
 Calculate the bark beetle phenology based on raster data or point-related
 data. There are multiple models implemented for two bark beetle species. The
 models can be customized and their submodels (onset of infestation, beetle
 development, diapause initiation, mortality) can be combined. The following
 models are available in the package: PHENIPS-Clim (first-time release in
 this package), PHENIPS (Baier et al. 2007)
 <doi:10.1016/j.foreco.2007.05.020>, RITY (Ogris et al. 2019)
 <doi:10.1016/j.ecolmodel.2019.108775>, CHAPY (Ogris et al. 2020)
 <doi:10.1016/j.ecolmodel.2020.109137>, BSO (Jakoby et al. 2019)
 <doi:10.1111/gcb.14766>, Lange et al. (2008)
 <doi:10.1007/978-3-540-85081-6_32>, Jönsson et al. (2011)
 <doi:10.1007/s10584-011-0038-4>.  The package may be expanded by models for
 other bark beetle species in the future.

Package: r-cran-bartcause
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbarts
Suggests: r-cran-testthat, r-cran-lme4, r-cran-rpart, r-cran-tmle, r-cran-stan4bart
Filename: pool/dists/focal/main/r-cran-bartcause_1.0-9-1.ca2004.1_all.deb
Size: 269104
MD5sum: 98b1046e8ca20804015c86dd473e1300
SHA1: 458c30cadff66b16a27dea789ec2b50c8d5051f9
SHA256: a953f57c3b850d48347a1c7be7e10fffb68f1315dc5006e4486e7970ace3d910
SHA512: 7e377c71fe4e7594a00fa958819025f5e2fdf41b4df893eeb3d62ce306dbf530005a3dafb1b720be0dd3c3660f712ef8284320ef631e9f5231a7fac39621def7
Homepage: https://cran.r-project.org/package=bartCause
Description: CRAN Package 'bartCause' (Causal Inference using Bayesian Additive Regression Trees)
 Contains a variety of methods to generate typical causal inference estimates
 using Bayesian Additive Regression Trees (BART) as the underlying regression
 model (Hill (2012) <doi:10.1198/jcgs.2010.08162>).

Package: r-cran-bartmachine
Architecture: all
Version: 1.3.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1418
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjava, r-cran-bartmachinejars, r-cran-randomforest, r-cran-missforest
Filename: pool/dists/focal/main/r-cran-bartmachine_1.3.4.1-1.ca2004.1_all.deb
Size: 1275536
MD5sum: 8815cc0217860eeec95d06871cf7fd0f
SHA1: d7ed815dafe1a5719554fb97ebfcd0e3daeacc2c
SHA256: 735ba7ef1065f94878fb7df4a84849af5e0743f7826abc44ad3bf9071050da55
SHA512: 4bf901be51b4ac89ec651d1ba437e6aa9144608357d9fa622747ff766e5fa4c80e1264744653d97f3ab988fe668964a2faff4fcba87e9d0fea9c4e37428ca964
Homepage: https://cran.r-project.org/package=bartMachine
Description: CRAN Package 'bartMachine' (Bayesian Additive Regression Trees)
 An advanced implementation of Bayesian Additive Regression Trees with
 expanded features for data analysis and visualization.

Package: r-cran-bartmachinejars
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9601
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-bartmachinejars_1.2.1-1.ca2004.1_all.deb
Size: 8520048
MD5sum: 91bc875976fa2834d2bc1eea68b74e78
SHA1: 49bf6c21f2b8715e44e199536696fa3af9ad806f
SHA256: 3639a14f0e587c400949b60e4c97631bd055128c393a70b64117b052a5fe5f47
SHA512: 3bb1e5f535a81058f2c33be9dbd56e793ec5dbcb7767a64f789d9ea28756bf8396e2f2905651d43a759d9bbb8b5a9bc17132a5f691d8b8db37983e9c741c14c8
Homepage: https://cran.r-project.org/package=bartMachineJARs
Description: CRAN Package 'bartMachineJARs' (bartMachine JARs)
 These are bartMachine's Java dependency libraries. Note: this package has no
 functionality of its own and should not be installed as a standalone package
 without bartMachine.

Package: r-cran-bartman
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-cowplot, r-cran-dendser, r-cran-dplyr, r-cran-ggiraph, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggraph, r-cran-gtable, r-cran-igraph, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-rrapply, r-cran-scales, r-cran-tidybayes, r-cran-tidygraph, r-cran-tidyr, r-cran-tidytreatment, r-cran-tibble, r-cran-bart, r-cran-bartmachine, r-cran-dbarts, r-cran-rjava, r-cran-cli
Suggests: r-cran-rocr, r-cran-ggridges, r-cran-ggforce, r-cran-lvplot
Filename: pool/dists/focal/main/r-cran-bartman_0.1.1-1.ca2004.1_all.deb
Size: 399768
MD5sum: 08601e2d33d4e9ee1131edcdc15b86fd
SHA1: 9202c62aec6e2ae06f28bcfc863328fe36c2f6f4
SHA256: ec446b5596bfe11381e4bf8188a86605d3c798aefcc897777d4893f41e8ffb3a
SHA512: abbbcc2e1b9b0902e7082a2ea248b6010342df90e59333d52f1cc18760b98c7029a20c400cfd6ae8076d3bb533d0f4ce819f5385be0a2d3e82bd2ade6b225fe8
Homepage: https://cran.r-project.org/package=bartMan
Description: CRAN Package 'bartMan' (Create Visualisations for BART Models)
 Investigating and visualising Bayesian Additive Regression Tree (BART)
 (Chipman, H. A., George, E. I., & McCulloch, R. E. 2010)
 <doi:10.1214/09-AOAS285> model fits.  We construct conventional plots to
 analyze a model’s performance and stability as well as create new tree-based
 plots to analyze variable importance, interaction, and tree structure.  We
 employ Value Suppressing Uncertainty Palettes (VSUP) to construct heatmaps
 that display variable importance and interactions jointly using colour scale
 to represent posterior uncertainty.  Our visualisations are designed to work
 with the most popular BART R packages available, namely 'BART' Rodney
 Sparapani and Charles Spanbauer and Robert McCulloch 2021
 <doi:10.18637/jss.v097.i01>, 'dbarts' (Vincent Dorie 2023)
 <https://CRAN.R-project.org/package=dbarts>, and 'bartMachine' (Adam
 Kapelner and Justin Bleich 2016) <doi:10.18637/jss.v070.i04>.

Package: r-cran-barulho
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seewave, r-cran-tuner, r-cran-fftw, r-cran-viridis, r-cran-sim.diffproc, r-cran-png, r-cran-checkmate, r-cran-cli, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-ggplot2, r-cran-knitr, r-cran-kableextra, r-cran-testthat, r-cran-covr, r-cran-formatr, r-cran-rraven, r-cran-monitor
Filename: pool/dists/focal/main/r-cran-barulho_2.1.3-1.ca2004.1_all.deb
Size: 3979840
MD5sum: b99cf198b22de312275668b654373491
SHA1: ac1ceae9445808943fc75630eae1cb6015fe6180
SHA256: 2c0d0dc818a867733ad6ce648ca0c7d058088613ada9e61646369b5815147b9d
SHA512: 51113a964edd081f50d695c676bc66265a6b487aa04a611da6a3bb4dd2e06359674857076a21e1a414175cebbea96b8797aba87a0e84c8c2939a3af57d17fb45
Homepage: https://cran.r-project.org/package=baRulho
Description: CRAN Package 'baRulho' (Quantifying (Animal) Sound Degradation)
 Intended to facilitate acoustic analysis of (animal) sound transmission
 experiments, which typically aim to quantify changes in signal structure
 when transmitted in a given habitat by broadcasting and re-recording animal
 sounds at increasing distances. The package offers a workflow with functions
 to prepare the data set for analysis as well as to calculate and visualize
 several degradation metrics, including blur ratio, signal-to-noise ratio,
 excess attenuation and envelope correlation among others (Dabelsteen et al
 1993 <doi:10.1121/1.406682>).

Package: r-cran-base.rms
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-survival, r-cran-do
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-base.rms_1.0-1.ca2004.1_all.deb
Size: 30064
MD5sum: b92a34a2fdbc51d3981a7c48967fedcc
SHA1: fe405bc7bc8ec2152a1afa90a922921ba0f23b2e
SHA256: add3543eb6ee2ac0ca35c5c87f2d3c58e22aca70e2cb293cf8a14a03c710285b
SHA512: 7e48577b4cc2edcc8488fce917c39cbdc4f3a523e16af7133df6f0e2f106069310f82281964b6a57adfcb98c8e6a2073a71a36107107a26e3128f170615a7def
Homepage: https://cran.r-project.org/package=base.rms
Description: CRAN Package 'base.rms' (Convert Regression Between Base Function and 'rms' Package)
 We perform linear, logistic, and cox regression using the base functions
 lm(), glm(), and coxph() in the R software and the 'survival' package.
 Likewise, we can use ols(), lrm() and cph() from the 'rms' package for the
 same functionality. Each of these two sets of commands has a different
 focus.  In many cases, we need to use both sets of commands in the same
 situation, e.g. we need to filter the full subset model using AIC, and we
 need to build a visualization graph for the final model. 'base.rms' package
 can help you to switch between the two sets of commands easily.

Package: r-cran-base64
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openssl
Filename: pool/dists/focal/main/r-cran-base64_2.0.2-1.ca2004.1_all.deb
Size: 59204
MD5sum: 79b28f88fb089c3a20aa7420bccebbd5
SHA1: bf962045812fb46131dee171bb8d83539a86af35
SHA256: 84137e06e285d40d090d6ef5355fed37ec7e121434410c9dcaafcae66b649599
SHA512: a11d870d5c15d9637bafc68464f1613637d4869a07030bc8fe766eb57f442ef70d6fa5463a8c20e7c795d585f551e29b1cbdff2ae8c85a15202f38f3ef31770d
Homepage: https://cran.r-project.org/package=base64
Description: CRAN Package 'base64' (Base64 Encoder and Decoder)
 Compatibility wrapper to replace the orphaned package. New applications
 should use base64 encoders from 'jsonlite' or 'openssl' or 'base64enc'.

Package: r-cran-baseballdbr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-xml2, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-tidyr, r-cran-rmarkdown, r-cran-knitr, r-cran-lahman
Filename: pool/dists/focal/main/r-cran-baseballdbr_0.1.2-1.ca2004.1_all.deb
Size: 265748
MD5sum: aba14109883a3c0715b5c1395de5ed2c
SHA1: 4047477fadf11145d68aac3c91fb6d4e0ae74fd6
SHA256: 0226772385d4b03e66ea8e4fb3516d973d3f8a89e17359413e757b3880a6839c
SHA512: e31992f084a15461348701c0fba0d965f42a22e8fc9edb772b5820028a90e187c74043e42077c0e7ca1031aac826069155c077565ac89c5999faf5d866edf2a4
Homepage: https://cran.r-project.org/package=baseballDBR
Description: CRAN Package 'baseballDBR' (Sabermetrics and Advanced Baseball Statistics)
 A tool for gathering and analyzing data from the Baseball Databank
 <http://www.baseball-databank.org/>, which includes player performance
 statistics from major league baseball in the United States beginning in the
 year 1871.

Package: r-cran-baseballr
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1344
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rcpp, r-cran-rcppparallel, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-furrr, r-cran-future, r-cran-ggrepel, r-cran-knitr, r-cran-pacman, r-cran-progressr, r-cran-qs, r-cran-reshape2, r-cran-rmarkdown, r-cran-rsqlite, r-cran-scales, r-cran-stringi, r-cran-testthat, r-cran-usethis, r-cran-xml2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-baseballr_1.6.0-1.ca2004.1_all.deb
Size: 1053440
MD5sum: 3def02942020f76791f62bb5a6865a50
SHA1: ecceb731af9fcc9796916d22c9dfd0d168faa2eb
SHA256: 8dcb1ddc0224e8fcc8cefc158ffe02c77f25f22e3a2b252f938ff5cc7d682dd8
SHA512: e6f1edb88e0f7e0378dfa69c3138d6a5577dff1eab1400a946b7933d2b5c231a754dbecff952d76c921d0e0411c17ab08ecb42fc40d54e20558cb03ff2277628
Homepage: https://cran.r-project.org/package=baseballr
Description: CRAN Package 'baseballr' (Acquiring and Analyzing Baseball Data)
 Provides numerous utilities for acquiring and analyzing baseball data from
 online sources such as 'Baseball Reference'
 <https://www.baseball-reference.com/>, 'FanGraphs'
 <https://www.fangraphs.com/>, and the 'MLB Stats' API
 <https://www.mlb.com/>.

Package: r-cran-basecamb
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-mice, r-cran-hmisc, r-cran-survival, r-cran-purrr, r-cran-mass, r-cran-sae
Suggests: r-cran-testthat, r-cran-rms
Filename: pool/dists/focal/main/r-cran-basecamb_1.1.5-1.ca2004.1_all.deb
Size: 88932
MD5sum: 57485c3b2e37b32e4fdf6c40c11cd8c5
SHA1: 011e822ead5eceb8822b61c75d7aaade30a6d12b
SHA256: bc89bdc12997ac92f62ad2aec9a0b3fcfda99b9ac38238aebb29622d80212e17
SHA512: 95ccabcd450d461da9a928d0972b317824ebc1a97b3c33dff416443129a078b5cfaaeb1f305cf5be195f2115ede63cb4cfd97bc93039283ad657dd928b7b37d0
Homepage: https://cran.r-project.org/package=basecamb
Description: CRAN Package 'basecamb' (Utilities for Streamlined Data Import, Imputation and Modelling)
 Provides functions streamlining the data analysis workflow: Outsourcing data
 import, renaming and type casting to a *.csv.  Manipulating imputed datasets
 and fitting models on them. Summarizing models.

Package: r-cran-basedosdados
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-tibble, r-cran-httr, r-cran-cli, r-cran-magrittr, r-cran-readr, r-cran-stringr, r-cran-dotenv, r-cran-bigrquery, r-cran-glue, r-cran-rlang, r-cran-writexl, r-cran-fs, r-cran-dbplyr, r-cran-scales, r-cran-dbi, r-cran-typed
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-basedosdados_0.2.2-1.ca2004.1_all.deb
Size: 72608
MD5sum: 6c8e5c6fc76316b9430e8c44ca13816c
SHA1: c5e06d5b4c0069b2e62472f900b528dbfcd64b1a
SHA256: 5a7e65c5d8bb4ffa1576f3c5744704b3e295af0af68c24a5479e88fc661ff194
SHA512: 01f90afea96ed7e3f026a2829b1120e94fa9676cfa714f039abf0accec866c62033a5eea29c07d13d01e0f8ebaa879466114f30100961f09d878e545acf72988
Homepage: https://cran.r-project.org/package=basedosdados
Description: CRAN Package 'basedosdados' ('Base Dos Dados' R Client)
 An R interface to the 'Base dos Dados' API
 <https:basedosdados.github.io/mais/py_reference_api/>). Authenticate your
 project, query our tables, save data to disk and memory, all from R.

Package: r-cran-baseline
Architecture: all
Version: 1.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2263
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sparsem, r-cran-limsolve
Suggests: r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-idpmisc, r-cran-lattice, r-cran-pls, r-cran-mass
Filename: pool/dists/focal/main/r-cran-baseline_1.3-5-1.ca2004.1_all.deb
Size: 2170280
MD5sum: 0ae983bf3e412ba2ee1f0d73a937a4df
SHA1: f1770fc09864f4f2d71b712089d626a5c975c5a6
SHA256: 3d58d444210cf87a8d15d95ca85aaf0aa00ed51cb4fc95d97312cf6158851b0c
SHA512: 137879c6421bb77d7f8566cda36b913b9a0d01c6cdfc62928d370213003b416e1df7c1c03d936447cc8b809c1e26034d4524bfe6a18062c604d6cc0e5713407b
Homepage: https://cran.r-project.org/package=baseline
Description: CRAN Package 'baseline' (Baseline Correction of Spectra)
 Collection of baseline correction algorithms, along with a framework and a
 Tcl/Tk enabled GUI for optimising baseline algorithm parameters. Typical use
 of the package is for removing background effects from spectra originating
 from various types of spectroscopy and spectrometry, possibly optimizing
 this with regard to regression or classification results. Correction methods
 include polynomial fitting, weighted local smoothers and many more.

Package: r-cran-basemaps
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-slippymath, r-cran-httr, r-cran-curl, r-cran-terra, r-cran-stars, r-cran-pbapply, r-cran-magick
Suggests: r-cran-raster, r-cran-ggplot2, r-cran-png, r-cran-mapview, r-cran-mapedit, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-basemaps_0.0.8-1.ca2004.1_all.deb
Size: 82008
MD5sum: 4e8790397b1c83bfe1c77d30382f05bc
SHA1: 13f77c27eeabfd1b3190f50447a2a4424454a348
SHA256: 71e4563cad9a87dc2f96cdbc95abe39eba99f1ce837157759a885e710f705e80
SHA512: a4712f79ae260d44578fcc1c80a4576ddd194c009b68da2bc27c79d1733cb380eed5e82bf6e85ff195b7acb5cd9938af951a249b1aeef16b952394f814748e51
Homepage: https://cran.r-project.org/package=basemaps
Description: CRAN Package 'basemaps' (Accessing Spatial Basemaps in R)
 A lightweight package to access spatial basemaps from open sources such as
 'OpenStreetMap', 'Carto', 'Mapbox' and others in R.

Package: r-cran-basemodels
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-caret, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-basemodels_1.1.0-1.ca2004.1_all.deb
Size: 43104
MD5sum: ee43f1fba6d94c27eda42e615ac75c3c
SHA1: b1a79e285cb013ac90de5df3d03b75d2fd410af3
SHA256: 659ac238581456dfa7de63ae0c2c6dc6299763c30ac237aa6edbfe9664180090
SHA512: b3ab7c0dfefb6882732ebf5c902b30aebf2cb9577d8693d6dab327b2d7f6af8f85d2d43959c92840aa6fbaea0be6b86296feb343f70eb964e2e01bd0218e2e7e
Homepage: https://cran.r-project.org/package=basemodels
Description: CRAN Package 'basemodels' (Baseline Models for Classification and Regression)
 Providing equivalent functions for the dummy classifier and regressor used
 in 'Python' 'scikit-learn' library. Our goal is to allow R users to easily
 identify baseline performance for their classification and regression
 problems. Our baseline models use no predictors, and are useful in cases of
 class imbalance, multiclass classification, and when users want to quickly
 identify how much improvement their statistical and machine learning models
 are over several baseline models. We use a "better" default (proportional
 guessing) for the dummy classifier than the 'Python' implementation
 ("prior", which is the most frequent class in the training set). The
 functions in the package can be used on their own, or introduce methods
 named 'dummy_regressor' or 'dummy_classifier' that can be used within the
 caret package pipeline.

Package: r-cran-basepenguins
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-basepenguins_0.1.0-1.ca2004.1_all.deb
Size: 50904
MD5sum: e89cae846f05e7e680592e7208b428cf
SHA1: c943ae7a3487f479f70b3c4b6b1e09289d38a4f7
SHA256: 188f121a2a743d1c8741e98ac0db125deffc41dccad83f854e6d7af1e9b92275
SHA512: efc2b649fa59ee0002b3f67b9ea293399f5f169ae81fbe8d7283a7bd90286ab61b8a0e4b11dd648bea9f344df188b83593c4fced0f5ba9d9aea532255752ac48
Homepage: https://cran.r-project.org/package=basepenguins
Description: CRAN Package 'basepenguins' (Convert Files that Use 'palmerpenguins' to Work with 'datasets')
 From 'R' 4.5.0, the 'datasets' package includes the penguins and
 penguins_raw data sets popularised in the 'palmerpenguins' package.
 'basepenguins' takes files that use the 'palmerpenguins' package and
 converts them to work with the versions from 'datasets' ('R' >= 4.5.0).  It
 does this by removing calls to library(palmerpenguins) and making the
 necessary changes to column names. Additionally, it provides helper
 functions to define new files paths for saving the output and a directory of
 example files to experiment with.

Package: r-cran-baseq
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-baseq_0.1.4-1.ca2004.1_all.deb
Size: 96248
MD5sum: 08ec322987416cca6ad0767c0a1e2e18
SHA1: b583106c57c1b8fefe7d5b776ab17c5f4ae12b92
SHA256: d043c256af0cfb5f77b7c6d91b2375119887acb66a98697a6861da4f724e1f06
SHA512: 2cdf613a401e578da0510f7d087129f16b4d137a976c42a0da370f449572a477ed4fc9b912a160ce085881db2ca96ce6896b522939a283bd6d3aaebe8ea36611
Homepage: https://cran.r-project.org/package=baseq
Description: CRAN Package 'baseq' (Basic Sequence Processing Tool for Biological Data)
 Primarily created as an easy and understanding way to do basic sequences
 surrounding the central dogma of molecular biology.

Package: r-cran-baseset
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2963
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-bioc-biobase, r-cran-covr, r-cran-forcats, r-cran-ggplot2, r-bioc-go.db, r-bioc-gseabase, r-cran-knitr, r-bioc-org.hs.eg.db, r-bioc-reactome.db, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-baseset_1.0.0-1.ca2004.1_all.deb
Size: 907992
MD5sum: b06910c5f0085d96ea441d741631d034
SHA1: 3d02d76df6ebac6cd64b155922b780321bc0696a
SHA256: 9d7d1c0491056f02aec1ac9a456b6a871f6df48a6be3f77c1830180d753bd4f9
SHA512: 2f6a0e64c6b21110428b8398805dd97db6e5e74c5aa1a08d3f0b9f320e16cbca7bb6a89345f7aec6337d01f3e43d1c371804849ad21a72f30231d01d57a47539
Homepage: https://cran.r-project.org/package=BaseSet
Description: CRAN Package 'BaseSet' (Working with Sets the Tidy Way)
 Implements a class and methods to work with sets, doing intersection, union,
 complementary sets, power sets, cartesian product and other set operations
 in a "tidy" way. These set operations are available for both classical sets
 and fuzzy sets. Import sets from several formats or from other several data
 structures.

Package: r-cran-basetempseed
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlcoptim
Filename: pool/dists/focal/main/r-cran-basetempseed_0.1.0-1.ca2004.1_all.deb
Size: 23212
MD5sum: 5eb1d01aefa9ff161063e3ac418dad6d
SHA1: 80ef246515bbd1beda6d207b933a2284c7f2854a
SHA256: 24bb060b7f8c648bf95d0352197c15610ad3e0bf388bec899688c662f2753c48
SHA512: 1fbff6580c76f64f4ec2a3854d9b0b4d65425275313281b74978ce90bb8c54e67e7a85e53a5ebed8f618a364f1958c86688b8597e7421a789e04480850e9efe5
Homepage: https://cran.r-project.org/package=BaseTempSeed
Description: CRAN Package 'BaseTempSeed' (Estimation of Seed Germination Base Temperature in ThermalModelling)
 All the seeds do not germinate at a single point in time due to
 physiological mechanisms determined by temperature which vary among
 individual seeds in the population. Seeds germinate by following
 accumulation of thermal time in degree days/hours, quantified by multiplying
 the time of germination with excess of base temperature required by each
 seed for its germination, which follows log-normal distribution. The
 theoretical germination course can be obtained by regressing the rate of
 germination at various fractions against temperature (Garcia et al., 1982),
 where the fraction-wise regression lines intersect the temperature axis at
 base temperature and the methodology of determining optimum base temperature
 has been described by Ellis et al. (1987). This package helps to find the
 base temperature of seed germination using algorithms of Garcia et al.
 (1982) and Ellis et al. (1982) <doi:10.1093/JXB/38.6.1033>
 <doi:10.1093/jxb/33.2.288>.

Package: r-cran-basetheme
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-basetheme_0.1.3-1.ca2004.1_all.deb
Size: 43520
MD5sum: 5d059c7f4dcf499920dc69d18b07d837
SHA1: d820244931612a68c587f3702bc28198e46368cb
SHA256: 814c20441573257327510e87967cbd870fc25e0ee5dcfe04717c4e9adb21ce5f
SHA512: ede3e1784bbbc60368ecdb1442f770416c32095a35e08be3d85ce5dd11d314bfb81c24c7c930ecdf8e6e8df27bbe216e5889eb57159951ff734ede226b8261de
Homepage: https://cran.r-project.org/package=basetheme
Description: CRAN Package 'basetheme' (Themes for Base Graphics Plots)
 Functions to create and select graphical themes for the base plotting
 system. Contains: 1) several custom pre-made themes 2) mechanism for
 creating new themes by making persistent changes to the graphical parameters
 of base plots.

Package: r-cran-basf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-tibble, r-cran-raster
Suggests: r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-basf_0.2.0-1.ca2004.1_all.deb
Size: 58116
MD5sum: 1526a439b7c7a7d9dea046dc0b10a34d
SHA1: a874d77385d1792ae5fcb44820d900fb328fc5e5
SHA256: 9de756cadc9dd44ce3a946bc42d84d0452f6ab5f0b63191ecc41e68373bb444e
SHA512: 80e9dbc4fd178cfa9de9b37baf0b68ce20e91df9cda19a871f8ad84d8a370a645b4ab46f50d293d3e117b00fe19fb7dbe6e81df1802b20f88b1b14cc6ae3b6ea
Homepage: https://cran.r-project.org/package=basf
Description: CRAN Package 'basf' (Plot Simple Features with 'base' Sensibilities)
 Resurrects the standard plot for shapes established by the 'base' and
 'graphics' packages. This is suited to workflows that require plotting using
 the established and traditional idioms of plotting spatially coincident data
 where it belongs. This package depends on 'sf' and only replaces the plot
 method.

Package: r-cran-basicdrm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-basicdrm_0.3.0-1.ca2004.1_all.deb
Size: 100820
MD5sum: 062634af0200f0c1d1860d412940c8ee
SHA1: ec74fc7bf19b0981e171bbbaf741047d4384f5cc
SHA256: 2870448603cbbce7292b799c00d7e9772f7ab0c8170c05a03e08ec59c480d0ec
SHA512: c612dfe78fc23b5552875ad577c4ba8697b0f812e4cf6cad460e6aae822b9eedcd07333731620b6ec5542e270a18013e70e506686a8b6f2fff1346a203db76d7
Homepage: https://cran.r-project.org/package=basicdrm
Description: CRAN Package 'basicdrm' (Fit Hill Dose Response Models)
 Evaluate, fit, and analyze Hill dose response models (Goutelle et al., 2008
 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred to as
 four-parameter log-logistic models.  Includes tools to invert Hill models,
 select models based on the Akaike information criterion (Akaike, 1974
 <doi:10.1109/TAC.1974.1100705>) or Bayesian information criterion (Schwarz,
 1978 <https://www.jstor.org/stable/2958889>), and construct bootstrapped
 confidence intervals both on the Hill model parameters and values derived
 from the Hill model parameters.

Package: r-cran-basicmcmcplots
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-basicmcmcplots_0.2.7-1.ca2004.1_all.deb
Size: 38304
MD5sum: 9e984784cf60360464bc743af5b2b266
SHA1: f62abc803192b48b871d9b90d9e3ffa6b60b09f3
SHA256: 22dbb5ff6f4394c4181d4d215d59dee402f80b5be35bfe8377a5ee5d1769be91
SHA512: dcbb4158f135c1175b4f7ae2d82c68868d5ee6166d700d52a76f926a00c70ef93e72e0416246559ffe626823b62de437ab525006b69c27b3f5eaa1e2e42357da
Homepage: https://cran.r-project.org/package=basicMCMCplots
Description: CRAN Package 'basicMCMCplots' (Trace Plots, Density Plots and Chain Comparisons for MCMCSamples)
 Provides methods for examining posterior MCMC samples from a single chain
 using trace plots and density plots, and from multiple chains by comparing
 posterior medians and credible intervals from each chain.  These plotting
 functions have a variety of options, such as figure sizes, legends,
 parameters to plot, and saving plots to file.  Functions interface with the
 NIMBLE software package, see de Valpine, Turek, Paciorek, Anderson-Bergman,
 Temple Lang and Bodik (2017) <doi:10.1080/10618600.2016.1172487>.

Package: r-cran-basictabler
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2339
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-jsonlite, r-cran-lubridate, r-cran-listviewer, r-cran-openxlsx, r-cran-flextable, r-cran-officer, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-basictabler_1.0.4-1.ca2004.1_all.deb
Size: 1331432
MD5sum: ab7b5a6d540eb123181db9c5daed763a
SHA1: b260c0f60d356efde2fd7d10dda0d6da902fcc51
SHA256: f8712a8b29f4035aa9415ce050796c94be82bb2b72846f92ef79e08f4e33b8d9
SHA512: 356743da5845fe494ff0a77e528398ede191b1eab9ac120c85c232bce80f2cdb6e695e4b2ae1dd0a0c85e11457de7dc6438fdc0eac7874f2a0bfcbff193101c8
Homepage: https://cran.r-project.org/package=basictabler
Description: CRAN Package 'basictabler' (Construct Rich Tables for Output to 'HTML'/'Excel')
 Easily create tables from data frames/matrices.  Create/manipulate tables
 row-by-row, column-by-column or cell-by-cell.  Use common formatting/styling
 to output rich tables as 'HTML', 'HTML widgets' or to 'Excel'.

Package: r-cran-basifor
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1872
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rodbc, r-cran-curl, r-cran-foreign, r-cran-hmisc, r-cran-httr, r-cran-measurements
Filename: pool/dists/focal/main/r-cran-basifor_0.4.1-1.ca2004.1_all.deb
Size: 1768224
MD5sum: cfd9234a861068d7e8dc920feef94848
SHA1: b2eed163336275418bbac7a7c8941da70745b7e5
SHA256: 4326ef2791844d6e37152e57a3686c87ee5c999270e92654620b7d7094768e21
SHA512: 15588db1e7af68b5669aa11d7a7e7fe0048b24049d9588c0be73396e5b91a3b446e8f7fb49af9b36484ee855ec379eafe9a88915deb853388a6c29010adaef87
Homepage: https://cran.r-project.org/package=basifoR
Description: CRAN Package 'basifoR' (Retrieval and Processing of the Spanish National ForestInventory)
 Data sets of the Spanish National Forest Inventory
 <https://www.miteco.gob.es/es/biodiversidad/servicios/banco-datos-naturaleza/informacion-disponible.html>
 are processed to compute tree metrics and statistics. Function metrics2Vol()
 controls most of the routines.

Package: r-cran-basinet
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-bioc-biostrings, r-cran-rweka, r-cran-randomforest, r-cran-rmcfs, r-cran-rjava
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-basinet_0.0.5-1.ca2004.1_all.deb
Size: 260452
MD5sum: 25327ab37d87e557b966cff427e725af
SHA1: 5411ed3d5b0f8e32bd00b58ccae8a974b55d780c
SHA256: 0a4128dd31551767f711e0fef752ce2c9fdb1f063d43eaa70c92a553380edd19
SHA512: b975336663b8846af8e2cb46977e49b5de4adff8b368b77fab5110306e8b8b10671b02cb3f29c3394ab766e26a1f4d21a8fae63b6e04ebae8d90e03dd4febb8f
Homepage: https://cran.r-project.org/package=BASiNET
Description: CRAN Package 'BASiNET' (Classification of RNA Sequences using Complex Network Theory)
 It makes the creation of networks from sequences of RNA, with this is done
 the abstraction of characteristics of these networks with a methodology of
 threshold for the purpose of making a classification between the classes of
 the sequences. There are four data present in the 'BASiNET' package,
 "sequences", "sequences2", "sequences-predict" and "sequences2-predict" with
 11, 10, 11 and 11 sequences respectively. These sequences were taken from
 the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU, Zhongyin,
 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to run
 examples. The BASiNET was published on Nucleic Acids Research, (ITO, Eric;
 KATAHIRA, Isaque; VICENTE, Fábio; PEREIRA, Felipe; LOPES, Fabrício, 2018)
 <doi:10.1093/nar/gky462>.

Package: r-cran-basinetentropy
Architecture: all
Version: 0.99.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-bioc-biostrings, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-basinetentropy_0.99.6-1.ca2004.1_all.deb
Size: 151724
MD5sum: f3a33d7af510cb3a0582b7c11919c3f4
SHA1: 4b3854e6f5604d973166fc8cf4f339f94111e185
SHA256: 638f3c7048318056aae5327266cc8ae24b3bb7ba0617aa7243c8735cb897021b
SHA512: 082744f749eeb1aab104dbc6106f54c5ac57cd7a0e558fdc22bcd757943e9198b1ced5a508d28a6c3dc02f219936d7265d01cf3c9aa98d09e8a3e7df96cec981
Homepage: https://cran.r-project.org/package=BASiNETEntropy
Description: CRAN Package 'BASiNETEntropy' (Classification of RNA Sequences using Complex Network andInformation Theory)
 It makes the creation of networks from sequences of RNA, with this is done
 the abstraction of characteristics of these networks with a methodology of
 maximum entropy for the purpose of making a classification between the
 classes of the sequences. There are two data present in the 'BASiNET'
 package, "mRNA", and "ncRNA" with 10 sequences. These sequences were taken
 from the data set used in the article (LI, Aimin; ZHANG, Junying; ZHOU,
 Zhongyin, 2014) <doi:10.1186/1471-2105-15-311>, these sequences are used to
 run examples.

Package: r-cran-baskepro
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-baskepro_1.1.1-1.ca2004.1_all.deb
Size: 21792
MD5sum: 931fe154056854272031ac468217c70f
SHA1: ad3162c41aecc3965ddd9bcb08928a56bcb21135
SHA256: 776edeb30754de0d66f15e49dfaeb19b5f93b33f22ce30762ad24e8bca395c06
SHA512: a4a02cf7b064d588511ca86adffc2e98cfdea512d0ee3df32c9f684b0c04802f7a6f8e13b021af4dd455f43494216cf7eac93ba7e12ae68a7f32fba5283d11af
Homepage: https://cran.r-project.org/package=BaSkePro
Description: CRAN Package 'BaSkePro' (Bayesian Model to Archaeological Faunal Skeletal Profiles)
 Tool to perform Bayesian inference of carcass processing/transport strategy
 and bone attrition from archaeofaunal skeletal profiles characterized by
 percentages of MAU (Minimum Anatomical Units). The approach is based on a
 generative model for skeletal profiles that replicates the two phases of
 formation of any faunal assemblage: initial accumulation as a function of
 human transport strategies and subsequent attrition.Two parameters define
 this model: 1) the transport preference (alpha), which can take any value
 between - 1 (mostly axial contribution) and 1 (mostly appendicular
 contribution) following strategies constructed as a function of butchering
 efficiency of different anatomical elements and the results of ethnographic
 studies, and 2) degree of attrition (beta), which can vary between 0 (no
 attrition) and 10 (maximum attrition) and relates the survivorship of bone
 elements to their maximum bone density. Starting from uniform prior
 probability distribution functions of alpha and beta, a Monte Carlo Markov
 Chain sampling based on a random walk Metropolis-Hasting algorithm is
 adopted to derive the posterior probability distribution functions, which
 are then available for interpretation. During this process, the likelihood
 of obtaining the observed percentages of MAU given a pair of parameter
 values is estimated by the inverse of the Chi2 statistic, multiplied by the
 proportion of elements within a 1 percent of the observed value. See Ana B.
 Marin-Arroyo, David Ocio (2018).<doi:10.1080/08912963.2017.1336620>.

Package: r-cran-basket
Architecture: all
Version: 0.10.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gensa, r-cran-foreach, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-igraph, r-cran-gridextra, r-cran-itertools, r-cran-crayon, r-cran-cli, r-cran-rcolorbrewer, r-cran-tidygraph, r-cran-ggraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-basket_0.10.11-1.ca2004.1_all.deb
Size: 558700
MD5sum: 17dbba6d388cd04a36df322ee88f1be1
SHA1: 3c7f078acf297318dd7f0007d06aa82b81276668
SHA256: c7f28fc69133b617f64c427405255b13a723711cd9de84174e5f7c95db9b61c9
SHA512: f7b4892d9ce9be598d861009e2cac90ad1b3c8b031e38cfe4eaf2497e3c2a34f46986a66b9f5665e989a8c58edc6bb1a2a0b968ba0378b11552996d37557b273
Homepage: https://cran.r-project.org/package=basket
Description: CRAN Package 'basket' (Basket Trial Analysis)
 Implementation of multisource exchangeability models for Bayesian analyses
 of prespecified subgroups arising in the context of basket trial design and
 monitoring.  The R 'basket' package facilitates implementation of the
 binary, symmetric multi-source exchangeability model (MEM) with posterior
 inference arising from both exact computation and Markov chain Monte Carlo
 sampling. Analysis output includes full posterior samples as well as
 posterior probabilities, highest posterior density (HPD) interval
 boundaries, effective sample sizes (ESS), mean and median estimations,
 posterior exchangeability probability matrices, and maximum a posteriori
 MEMs. In addition to providing "basketwise" analyses, the package includes
 similar calculations for "clusterwise" analyses for which subgroups are
 combined into meta-baskets, or clusters, using graphical clustering
 algorithms that treat the posterior exchangeability probabilities as edge
 weights. In addition plotting tools are provided to visualize basket and
 cluster densities as well as their exchangeability.  References include
 Hyman, D.M., Puzanov, I., Subbiah, V., Faris, J.E., Chau, I., Blay, J.Y.,
 Wolf, J., Raje, N.S., Diamond, E.L., Hollebecque, A. and Gervais, R (2015)
 <doi:10.1056/NEJMoa1502309>; Hobbs, B.P. and Landin, R. (2018)
 <doi:10.1002/sim.7893>; Hobbs, B.P., Kane, M.J., Hong, D.S. and Landin, R.
 (2018) <doi:10.1093/annonc/mdy457>; and Kaizer, A.M., Koopmeiners, J.S. and
 Hobbs, B.P. (2017) <doi:10.1093/biostatistics/kxx031>.

Package: r-cran-basketballanalyzer
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2940
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-magrittr, r-cran-ggrepel, r-cran-gridextra, r-cran-mass, r-cran-directlabels, r-cran-corrplot, r-cran-pbsmapping, r-cran-sp, r-cran-operators, r-cran-stringr, r-cran-ggally, r-cran-statnet.common, r-cran-readr, r-cran-gtools, r-cran-data.table, r-cran-mathjaxr
Suggests: r-cran-dendextend, r-cran-ggnetwork, r-cran-ggplotify, r-cran-network
Filename: pool/dists/focal/main/r-cran-basketballanalyzer_0.8.0-1.ca2004.1_all.deb
Size: 2868636
MD5sum: 3ea0761729b12e8d0bf084ef5f43a7d8
SHA1: 4da38e55218aad885c8c4305f930b9a907d7537f
SHA256: 44e37dfe01438b06c81c624fc7d9713f8090d44b28ca470a5f42eccaecaa2c70
SHA512: 233ca00ad9a007f58db6bd9555445fa99d7ed0a03040bba458459b0354746972842a24bdc3a197e38f5bec36b89808c41e7485a1b6acb8ad394ff8d8dbce1292
Homepage: https://cran.r-project.org/package=BasketballAnalyzeR
Description: CRAN Package 'BasketballAnalyzeR' (Analysis and Visualization of Basketball Data)
 Contains data and code to accompany the book P. Zuccolotto and M. Manisera
 (2020) Basketball Data Science. Applications with R. CRC Press. ISBN
 9781138600799.  For more details, see the page
 bdsports.unibs.it/basketballanalyzer/.

Package: r-cran-baskettrial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-baskettrial_0.1.0-1.ca2004.1_all.deb
Size: 46468
MD5sum: c8146a05de2a00b5cdca95b9e5114e04
SHA1: 13bdfddd2860d8310296723f84e2807c612e55b2
SHA256: 9d5a5772289080cb4daa5134820929688b2eb7f547eeb04b1b6c466efa378d3c
SHA512: 719fef3186b0bf82dbfa34335a10647b38b191641fc6b9c77955486a4021626c0321b20c01a2435b7a836d1f04898133abbfa9b8307fec5220bd284ccaae3820
Homepage: https://cran.r-project.org/package=BasketTrial
Description: CRAN Package 'BasketTrial' (Bayesian Basket Trial Design and Analysis)
 Provides tools for Bayesian basket trial design and analysis using a novel
 three-component local power prior framework with global borrowing control,
 pairwise similarity assessment and a borrowing threshold. Supports
 simulation-based evaluation of operating characteristics and comparison with
 other methods. Applicable to both equal and unequal sample size settings in
 early-phase oncology trials. For more details see Zhou et al. (2023)
 <doi:10.48550/arXiv.2312.15352>.

Package: r-cran-basksim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arrangements, r-cran-bhmbasket, r-cran-bmabasket, r-cran-dofuture, r-cran-extradistr, r-cran-foreach, r-cran-hdinterval, r-cran-progressr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-basksim_1.0.0-1.ca2004.1_all.deb
Size: 196744
MD5sum: 766adf685162122c65f9d68b7bc39606
SHA1: 9d8b6dfafadb9052d95d579b6c4bea3c186ad8b5
SHA256: 532c35090368a331e831e51f336c580ca12a5b4242822a5df1943589cb21080d
SHA512: 4954c8e830ee337f272e190217f841144db66082eaa55e7b5fc256127de68834f61e188079380740306f4e121d21653ebde16fd21a70c634778a38cc35749c4f
Homepage: https://cran.r-project.org/package=basksim
Description: CRAN Package 'basksim' (Simulation-Based Calculation of Basket Trial OperatingCharacteristics)
 Provides a unified syntax for the simulation-based comparison of different
 single-stage basket trial designs with a binary endpoint and equal sample
 sizes in all baskets. Methods include the designs by Baumann et al. (2024)
 <doi:10.48550/arXiv.2309.06988>, Fujikawa et al. (2020)
 <doi:10.1002/bimj.201800404>, Berry et al. (2020)
 <doi:10.1177/1740774513497539>, Neuenschwander et al. (2016)
 <doi:10.1002/pst.1730> and Psioda et al. (2021)
 <doi:10.1093/biostatistics/kxz014>. For the latter three designs, the
 functions are mostly wrappers for functions provided by the packages
 'bhmbasket' and 'bmabasket'.

Package: r-cran-bass
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1782
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-truncdist, r-cran-hypergeo
Suggests: r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bass_1.3.1-1.ca2004.1_all.deb
Size: 1738644
MD5sum: ff563b1023d08a3aef17f2679ef7f088
SHA1: 102e13c7732fe8709a1b4fe5648fb73cbca25464
SHA256: 8bcf846b8ad0662e2dda786f268b3356c31a8f8c6e4085e278872d645aace723
SHA512: 248dcb66aee50f114969603b963c7b4559f968a95534b7777f9b797619d76ac66f40b559412c8a6f3095d29b4594601bfce9114726564b160dc4480fd86c6791
Homepage: https://cran.r-project.org/package=BASS
Description: CRAN Package 'BASS' (Bayesian Adaptive Spline Surfaces)
 Bayesian fitting and sensitivity analysis methods for adaptive spline
 surfaces described in <doi:10.18637/jss.v094.i08>. Built to handle
 continuous and categorical inputs as well as functional or scalar output. An
 extension of the methodology in Denison, Mallick and Smith (1998)
 <doi:10.1023/A:1008824606259>.

Package: r-cran-basta
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2194
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-snowfall
Filename: pool/dists/focal/main/r-cran-basta_2.0.2-1.ca2004.1_all.deb
Size: 2147596
MD5sum: 4e723012a18789dc1b26e6bd889e7698
SHA1: 234ba5b1ba5b3a19749d0c9d7d0afafc6f620980
SHA256: ae24120fe890100c8a80d820ee40a735532d51a64908d985808ec25d90c53a6e
SHA512: f8768882ab6a1226ec9834fb8eacb28e35e5b9527c1c6396b08aaab9aef35efe564c60cf3fcc7d22b6996ccaf9cf7bd2752c4b43539d1a6cd8152f5bb737c4ea
Homepage: https://cran.r-project.org/package=BaSTA
Description: CRAN Package 'BaSTA' (Age-Specific Bayesian Survival Trajectory Analysis fromIncomplete Census or Capture-Recapture/Recovery Data)
 Estimates survival and mortality with covariates from census or
 capture-recapture/recovery data in a Bayesian framework when many
 individuals are of unknown age. It includes tools for data checking, model
 diagnostics and outputs such as life-tables and plots, as described in
 Colchero, Jones, and Rebke (2012) <doi:10.1111/j.2041-210X.2012.00186.x> and
 Colchero et al. (2021) <doi:10.1038/s41467-021-23894-3>.

Package: r-cran-bastah
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigquic, r-cran-foreach, r-cran-glmnet, r-cran-lars, r-cran-mass, r-cran-matrix, r-cran-scalreg
Filename: pool/dists/focal/main/r-cran-bastah_1.0.7-1.ca2004.1_all.deb
Size: 51024
MD5sum: a9a15ad099edd0456147daac95909a3d
SHA1: a9c1430ffb08dc01f52c42375f1232abb0d7a522
SHA256: 291af8d718e9a3e780092a69efda689000f0345f5f574ae12bdc803fad819dcf
SHA512: 5188b89e9093f1c91d4223ef078e330b35582ff0ff0cafd06ec71704e3fcece32f6bd7e1cd9f4fae99bc0d4f62f7e0dbd2a011299169557e18cd5817ebf43796
Homepage: https://cran.r-project.org/package=bastah
Description: CRAN Package 'bastah' (Big Data Statistical Analysis for High-Dimensional Models)
 Big data statistical analysis for high-dimensional models is made possible
 by modifying lasso.proj() in 'hdi' package by replacing its
 nodewise-regression with sparse precision matrix computation using
 'BigQUIC'.

Package: r-cran-bat
Architecture: all
Version: 2.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 510
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-geometry, r-cran-hypervolume, r-cran-mass, r-cran-nls2, r-cran-phytools, r-cran-terra, r-cran-treetools, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-bat_2.10.0-1.ca2004.1_all.deb
Size: 463148
MD5sum: 2cd17860d885190d21f014481e1d1dba
SHA1: 8be9339ab547326a94d2a3d471642f8003b74b34
SHA256: cbe7025c5ad2fbde2d5541b391fcc4fc892b2b77fba626ca80185f3dac189dc6
SHA512: 3614830229b39032010740bd902eb7072d7f4814f1cbc9cb7a80f4028fa4dba9e0ac54a5616fcd69d5f8db6f9bcf61c49212aa2e6d711df556139acb28b1e737
Homepage: https://cran.r-project.org/package=BAT
Description: CRAN Package 'BAT' (Biodiversity Assessment Tools)
 Includes algorithms to assess alpha and beta diversity in all their
 dimensions (taxonomic, phylogenetic and functional).  It allows performing a
 number of analyses based on species identities/abundances,
 phylogenetic/functional distances, trees, convex-hulls or kernel density
 n-dimensional hypervolumes depicting species relationships.  Cardoso et al.
 (2015) <doi:10.1111/2041-210X.12310>.

Package: r-cran-batata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fs, r-cran-glue, r-cran-lubridate, r-cran-jsonlite, r-cran-remotes, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-batata_0.2.1-1.ca2004.1_all.deb
Size: 236124
MD5sum: fddc716ae4d48f5d2d67fdde104ccc1a
SHA1: a6eaa9c7b4643488db74a8b4dff145466abf6774
SHA256: e417172ffa8a4b6a357d2bf0b4be9dff8f722ffa67f4ae182a27263db46087f4
SHA512: f4a1b0211c599fd53d38abb2399947c45228acb90b9500858afc075b890c6a23af1c782ddd8768ba27f50dded2324160c1e3e93fc749758873b6a7ac0cbf005e
Homepage: https://cran.r-project.org/package=batata
Description: CRAN Package 'batata' (Managing Packages Removal and Installation)
 Allows the user to manage easily R packages removal and installation. It
 offers many functions to display installed packages according to specific
 dates and removes them if needed. The user is always prompted when running
 the removal functions in order to confirm the required action. It also
 provides functions that will install 'Github' starred R packages whether
 available on 'CRAN' or not.

Package: r-cran-batch
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-batch_1.1-5-1.ca2004.1_all.deb
Size: 41692
MD5sum: b5ef3a060922100d218f5eaafdca5e35
SHA1: f8e11855accf89efb8bf699b0b12e8437fc95e69
SHA256: b4ea413f3db3ffafc5f66a050dbdab9931c63cc7a48146e26f63f02700791984
SHA512: 96782c6cfa2018106a312cd075c74f2ff205a0af4cf5fd1d40446a833fc987b3364e9dcc9f91089b893d67163e291fbbab462156cacff52317fd9a944b73f2e9
Homepage: https://cran.r-project.org/package=batch
Description: CRAN Package 'batch' (Batching Routines in Parallel and Passing Command-Line Argumentsto R)
 Functions to allow you to easily pass command-line arguments into R, and
 functions to aid in submitting your R code in parallel on a cluster and
 joining the results afterward (e.g. multiple parameter values for
 simulations running in parallel, splitting up a permutation test in
 parallel, etc.). See `parseCommandArgs(...)' for the main example of how to
 use this package.

Package: r-cran-batchexperiments
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-batchjobs, r-cran-backports, r-cran-checkmate, r-cran-bbmisc, r-cran-dbi, r-cran-rsqlite, r-cran-data.table
Suggests: r-cran-plyr, r-cran-randomforest, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-batchexperiments_1.4.3-1.ca2004.1_all.deb
Size: 167280
MD5sum: c8af9d86bad5582f8cdc6093f79d127e
SHA1: 81ecaf3e732be7ec214ea2232e4a6a2ba7ed789d
SHA256: 79f2b2c0f546071ac81bc31e17b3498d64cb1db535129f7feb90c774274c8609
SHA512: 890101a7a974bffec128dc3809d7e080ce8fa9375c701f0f3f21a12600ff17a239e7d5f502b766170aee8f1639055c1fff16d9f0e53e52ac47de3f7d08cd0370
Homepage: https://cran.r-project.org/package=BatchExperiments
Description: CRAN Package 'BatchExperiments' (Statistical Experiments on Batch Computing Clusters)
 Extends the BatchJobs package to run statistical experiments on batch
 computing clusters. For further details see the project web page.

Package: r-cran-batchgetsymbols
Architecture: all
Version: 2.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-dplyr, r-cran-stringr, r-cran-curl, r-cran-quantmod, r-cran-xml, r-cran-tidyr, r-cran-lubridate, r-cran-scales, r-cran-furrr, r-cran-purrr, r-cran-future, r-cran-tibble, r-cran-zoo, r-cran-crayon, r-cran-cli, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-batchgetsymbols_2.6.4-1.ca2004.1_all.deb
Size: 228524
MD5sum: dcb44c33fb6ba0fb77109ae3f8ccdb53
SHA1: 6f3e6e1c511e0de4aed9e665a32c13f21fee062c
SHA256: ccaa8b6ff1ac504549a3fc2b23271d7d5e71c4087a871386c40e8343e4e6c6fd
SHA512: f78c197a6c1f7f0a9c4146cd61d5a000ad11d53834c5ac5d6a5d690ef806fa6e93f157974bea2cfb9c83d73de99bc5f33f7220e63c2bb1695e33752665d6a87f
Homepage: https://cran.r-project.org/package=BatchGetSymbols
Description: CRAN Package 'BatchGetSymbols' (Downloads and Organizes Financial Data for Multiple Tickers)
 Makes it easy to download financial data from Yahoo Finance
 <https://finance.yahoo.com/>.

Package: r-cran-batchjobs
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 551
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-backports, r-cran-brew, r-cran-checkmate, r-cran-dbi, r-cran-digest, r-cran-rsqlite, r-cran-sendmailr, r-cran-stringi
Suggests: r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-batchjobs_1.9-1.ca2004.1_all.deb
Size: 491496
MD5sum: 5bbe32534bee21e02dcc3f2af0765b09
SHA1: 731c9b36a54f027c5060aa6156f6cef65d9fc6a2
SHA256: 246627f33b81d0b66375a9c79e147e9f7d16b44dd5fb1004bc58c50cf82af133
SHA512: 57d5d2d210ff24ba0dac915fca937b30e7bc44e9b0ffaeba8516ddf48daefde475b82f1be579875879ba396520e7acf389c280d2b42078792dac52cd76e6cc2f
Homepage: https://cran.r-project.org/package=BatchJobs
Description: CRAN Package 'BatchJobs' (Batch Computing with R)
 Provides Map, Reduce and Filter variants to generate jobs on batch computing
 systems like PBS/Torque, LSF, SLURM and Sun Grid Engine.  Multicore and SSH
 systems are also supported. For further details see the project web page.

Package: r-cran-batchllm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openai, r-cran-gemini.r, r-cran-rlang, r-cran-digest, r-cran-dplyr, r-cran-shiny, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-dt, r-cran-httr, r-cran-jsonlite, r-cran-spscomps, r-cran-shinyjs, r-cran-readr, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-batchllm_0.2.0-1.ca2004.1_all.deb
Size: 116768
MD5sum: 8cc9d222c0dde0db7b57fea8e42452a6
SHA1: 1b6ab4be74e63ad2ca9054ef8df71cdae695939b
SHA256: 69de8c81bc77bc2973a032342296cf29f88e5f6ad6e27945e0dcb05b9e8c9ee2
SHA512: 4cbda5dbd94f319b907bc930c18de4c589b0eda162d1046e07ce75ebf73f95c90ec8ff4a675ab33b34751f69573748021be5c1e4d2ab3369cebea23bf48a96ae
Homepage: https://cran.r-project.org/package=batchLLM
Description: CRAN Package 'batchLLM' (Batch Process LLM Text Completions Using a Data Frame)
 Batch process large language model (LLM) text completions using data frame
 rows, with support for OpenAI's 'GPT' (<https://chat.openai.com>),
 Anthropic's 'Claude' (<https://claude.ai>), and Google's 'Gemini'
 (<https://gemini.google.com>). Includes features such as local storage,
 metadata logging, API rate limiting delays, and a 'shiny' app addin.

Package: r-cran-batchmeans
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-batchmeans_1.0-4-1.ca2004.1_all.deb
Size: 26016
MD5sum: 8b0f618ed65abdca9e7ce3beb1c44a2d
SHA1: 0212f1c9a2c82e4e04a94e1ce332f65292f14677
SHA256: 68babd1f94318ea3aba75d112ff451faf1e6083918eac236964f6f5f7428d085
SHA512: 842261dd58d6d19d4f080e2f94ae9d567d11184e39085d895ccd473aeefeb15856b208213ace5d212c9a8f157bf78fe0449347f548f38a95dcc6af98ed567242
Homepage: https://cran.r-project.org/package=batchmeans
Description: CRAN Package 'batchmeans' (Consistent Batch Means Estimation of Monte Carlo Standard Errors)
 Provides consistent batch means estimation of Monte Carlo standard errors.

Package: r-cran-batchscr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-batchscr_0.1.0-1.ca2004.1_all.deb
Size: 12036
MD5sum: cd764104a82c26f83ab078dca953699d
SHA1: ca339d4ad24d0f7bcd7792ad72674c9aab2116c1
SHA256: 3517c9b933165da85826b3f3409fe456035e78e5afc811124184a495ffd6ac60
SHA512: e75ebdb82125c5ee682cc1829fda07e20a77519a5a1d95be9abd40b1375bc84cc3248f249bd9ac29b4e01ce18e00a5aa0f6c063d37b34c48e04ee83686098cfd
Homepage: https://cran.r-project.org/package=batchscr
Description: CRAN Package 'batchscr' (Batch Script Helpers)
 Handy frameworks, such as error handling and log generation, for batch
 scripts.  Use case: in scripts running in remote servers, set error handling
 mechanism for downloading and uploading and record operation log.

Package: r-cran-batchtma
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 845
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-geepack, r-cran-ggplot2, r-bioc-limma, r-cran-nnet, r-cran-purrr, r-cran-quantreg, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-batchtma_0.1.6-1.ca2004.1_all.deb
Size: 533844
MD5sum: feeb5502441e13bf2d78da9093239462
SHA1: 3baefb7c0c84fa6bd6a0b6e12da1e61b80c157a7
SHA256: 48141ed9c98dd580e1720867c6c61e1e0237b174042ff1e48c79f8df0a2a9011
SHA512: 1c14469c1f7bb8d0d3988e1d11c1a0ee4cae13b20164c684d4c1e75c69b59e0346db13e309823c285c06fb378356510dabb610d7efa6d44af34801405a3bbc6b
Homepage: https://cran.r-project.org/package=batchtma
Description: CRAN Package 'batchtma' (Batch Effect Adjustments)
 Different adjustment methods for batch effects in biomarker data, such as
 from tissue microarrays. Some methods attempt to retain differences between
 batches that may be due to between-batch differences in "biological" factors
 that influence biomarker values.

Package: r-cran-bate
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-concaveman, r-cran-dplyr, r-cran-magrittr, r-cran-tidyselect, r-cran-purrr, r-cran-latex2exp, r-cran-vtable
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bate_0.1.0-1.ca2004.1_all.deb
Size: 314340
MD5sum: 909f58dd57e3f396bb83e17c8df7bd66
SHA1: 4e363c77fada033e2bb07a5bf2eb9af5e7f54187
SHA256: 86cf95a8527d67f66cec986718507436c5f4d5690be96b7eb4528c7c2f8d4667
SHA512: 19c13f46b97176017bfa2e60e03e345e44889d973884d15a551d131e7f8ce31532ecec32fb4c68bb9bc7f6ac49c261d49951d9d460e054f84a70f1908b1c9023
Homepage: https://cran.r-project.org/package=bate
Description: CRAN Package 'bate' (Computes Bias-Adjusted Treatment Effect)
 Compute bounds for the treatment effect after adjusting for the presence of
 omitted variables in linear econometric models, according to the method of
 Basu (2022) <arXiv:2203.12431>.  You supply the data, identify the outcome
 and treatment variables and additional regressors. The main functions will
 compute bounds for the bias-adjusted treatment effect. Many plot functions
 allow easy visualization of results.

Package: r-cran-batsch
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1260
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-batsch_0.1.1-1.ca2004.1_all.deb
Size: 1206024
MD5sum: e6b421815629b9b686b37584474ef058
SHA1: 971cc55b25c4834909b29b282062452f76cde126
SHA256: 8205ec849fc8b578a8adb0d1531e33fd79412366021ec447dffbb0a9d91b52fa
SHA512: efeb1b936bcbba9c4b59997981fa0d270e44093f92e5fc7d4915a90c75ae83dcc85bd31dd4c816469c62e746ff863cab471a97af9ceaea4301ba155e72dc3ee7
Homepage: https://cran.r-project.org/package=batsch
Description: CRAN Package 'batsch' (Real-Time PCR Data Sets by Batsch et al. (2008))
 Real-time quantitative polymerase chain reaction (qPCR) data sets by Batsch
 et al. (2008) <doi:10.1186/1471-2105-9-95>. This package provides five data
 sets, one for each PCR target: (i) rat SLC6A14, (ii) human SLC22A13, (iii)
 pig EMT, (iv) chicken ETT, and (v) human GAPDH. Each data set comprises a
 five-point, four-fold dilution series.  For each concentration there are
 three replicates. Each amplification curve is 45 cycles long. Original raw
 data file:
 <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-95/MediaObjects/12859_2007_2080_MOESM5_ESM.xls>.

Package: r-cran-batss
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-plyr, r-cran-rlang, r-cran-r.utils, r-cran-cli
Filename: pool/dists/focal/main/r-cran-batss_1.0.0-1.ca2004.1_all.deb
Size: 244808
MD5sum: 73470bb5d474f09928101dd798514a84
SHA1: ab76eb879ab54ebf60c8dbe5347ac680ef4d5164
SHA256: 20a6493f08051d1abb3bcc5d1196260ab9c5ea1049802b1abad2f316c9a252ec
SHA512: b9c2e823e7ffd06b4481dd63f6c24e0442f1ad2a69b668b7ac27a8976cd616521a0468a16a2d96811f8be6185d2f0f9df2d46ce09a862a64c571495f643f4111
Homepage: https://cran.r-project.org/package=BATSS
Description: CRAN Package 'BATSS' (Bayesian Adaptive Trial Simulator Software (BATSS) forGeneralised Linear Models)
 Defines operating characteristics of Bayesian Adaptive Trials considering a
 generalised linear model response via Monte Carlo simulations of Bayesian
 GLM fitted via integrated Laplace approximations (INLA).

Package: r-cran-batteryreduction
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-batteryreduction_0.1.1-1.ca2004.1_all.deb
Size: 13604
MD5sum: a74d30d1b1142b271269c4ccd4a80986
SHA1: e5564de70a547fe85c5ff3721f2643cabb861844
SHA256: 75b9366bbdbabca107ac27acbd3578ceee9b22002f23136873145c8407dd55ef
SHA512: b95910190b4fbfa97b7b3fccf1c003f0a0cf5930c9cbf418b2a73c1256cf80eb7fd7697913ddc77ce6414fee78e4479358acec61e5a5a1ac04188ee14f6dcfb8
Homepage: https://cran.r-project.org/package=batteryreduction
Description: CRAN Package 'batteryreduction' (An R Package for Data Reduction by Battery Reduction)
 Battery reduction is a method used in data reduction. It uses Gram-Schmidt
 orthogonal rotations to find out a subset of variables best representing the
 original set of variables.

Package: r-cran-bawir
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anthropometry, r-cran-plyr, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-qdapregex, r-cran-readr, r-cran-reshape2, r-cran-rvest, r-cran-rworldmap, r-cran-scales, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bawir_1.3.4-1.ca2004.1_all.deb
Size: 571148
MD5sum: faf7b131730ebb253fdffdea63d4bac8
SHA1: 812c08056cc3c2e77b245c350df4c392cbe2901c
SHA256: a4168115b8e08361edf3375a2f73e9a2af1a4fefb170f1c50b694c122151169b
SHA512: b4cb7ca49272a363dd1106fc2121fc856680db6662cc7a67610075af45e35df3beb9004f05c981156c3bdcb77d0f07819baefbd0080674186acf372b6c1f3e78
Homepage: https://cran.r-project.org/package=BAwiR
Description: CRAN Package 'BAwiR' (Analysis of Basketball Data)
 Collection of tools to work with European basketball data. Functions
 available are related to friendly web scraping, data management and
 visualization. Data were obtained from
 <https://www.euroleaguebasketball.net/euroleague/>,
 <https://www.euroleaguebasketball.net/eurocup/> and <https://www.acb.com/>,
 following the instructions of their respectives robots.txt files, when
 available. Box score data are available for the three leagues.  Play-by-play
 data are also available for the Spanish league. Methods for analysis include
 a population pyramid, 2D plots, circular plots of players' percentiles,
 plots of players' monthly/yearly stats, team heatmaps, team shooting plots,
 team four factors plots, cross-tables with the results of regular season
 games, maps of nationalities, combinations of lineups, possessions-related
 variables, timeouts, performance by periods, personal fouls and offensive
 rebounds.  Please see Vinue (2020) <doi:10.1089/big.2018.0124> and Vinue
 (2024) <doi:10.1089/big.2023.0177>.

Package: r-cran-bayclumpr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-loo, r-cran-deming, r-cran-isoplotr, r-cran-rstan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayclumpr_0.1.0-1.ca2004.1_all.deb
Size: 178652
MD5sum: 5e24779b630c0e49a519f6a6f745376d
SHA1: e10e4be8072a41fea91e402d6e82cf98a4ec3d81
SHA256: 0272e3fc953a13da42b3e3d65b06075c170e6abed78893eeff61cba9e0f3eddf
SHA512: aac6f3e5ca9435ed87a552c6650f68fa47903cb935101b4ff6fcc72114c54b1f284af88df4bc11647259cabdbef10d78f942e4f311ac04ba735661df306fd86b
Homepage: https://cran.r-project.org/package=bayclumpr
Description: CRAN Package 'bayclumpr' (Bayesian Analysis of Clumped Isotope Datasets)
 Simulating synthetic clumped isotope dataset, fitting linear regression
 models under Bayesian and non-Bayesian frameworks, and generating
 temperature reconstructions for the same two approaches.  Please note that
 models implemented in this package are described in Roman-Palacios et al.
 (2021) <doi:10.1002/essoar.10507995.1>.

Package: r-cran-baycn
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4057
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-egg, r-cran-ggplot2, r-cran-gtools, r-cran-igraph, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-baycn_1.2.0-1.ca2004.1_all.deb
Size: 3080064
MD5sum: 9ffb9622380496ae267b4c5148615231
SHA1: c90a4c19de0229acbb88d7c920b20780dae593b5
SHA256: 9a147b07724fa768cbd604325d48c6551b86d233bda60906f7594422b23765df
SHA512: 6e6ebd469a0f239e6e814c6d879148d74f078d7d9f7b2e8a9f0de11e7186fb05afa1766c26512f0f41543c5f156c20be14cdac0ff890974a9d6a12f7c2a9c5fa
Homepage: https://cran.r-project.org/package=baycn
Description: CRAN Package 'baycn' (Bayesian Inference for Causal Networks)
 A Bayesian hybrid approach for inferring Directed Acyclic Graphs (DAGs) for
 continuous, discrete, and mixed data. The algorithm can use the graph
 inferred by another more efficient graph inference method as input; the
 input graph may contain false edges or undirected edges but can help reduce
 the search space to a more manageable size. A Bayesian Markov chain Monte
 Carlo algorithm is then used to infer the probability of direction and
 absence for the edges in the network.  References: Martin and Fu (2019)
 <arXiv:1909.10678>.

Package: r-cran-bayefdr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-assertthat, r-cran-cowplot, r-cran-ggextra
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-bayefdr_0.2.1-1.ca2004.1_all.deb
Size: 70828
MD5sum: 80a994ae839e4bd527ebcafcb7e95b80
SHA1: ef367e36dbba832b43cd58ec415d6fed5f17afc1
SHA256: e84000bb9e455b3b77ea4f519d6a58c405bae88052bedc19b7d6ae1b80d8a041
SHA512: 6fd18fa6a054e35790f5640796290e69b9c15f102ef2a02f5717f33e427cf8b9914f5c9f0467164d26144277c2f2092e78fa0decd7af8cf9c873ade485a75e74
Homepage: https://cran.r-project.org/package=bayefdr
Description: CRAN Package 'bayefdr' (Bayesian Estimation and Optimisation of Expected False DiscoveryRate)
 Implements the Bayesian FDR control described by Newton et al. (2004),
 <doi:10.1093/biostatistics/5.2.155>.  Allows optimisation and visualisation
 of expected error rates based on tail posterior probability tests.  Based on
 code written by Catalina Vallejos for BASiCS, see Beyond comparisons of
 means: understanding changes in gene expression at the single-cell level
 Vallejos et al. (2016) <doi:10.1186/s13059-016-0930-3>.

Package: r-cran-bayesammi
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-ks, r-cran-lme4, r-cran-magrittr, r-cran-mass, r-cran-mvtnorm, r-cran-purrr, r-cran-rlang, r-cran-rstiefel, r-cran-scales, r-cran-tibble, r-cran-tidyr, r-cran-tmvtnorm
Filename: pool/dists/focal/main/r-cran-bayesammi_0.3.0-1.ca2004.1_all.deb
Size: 94904
MD5sum: e3f89a74c27b39df0303f85c4f13fc0e
SHA1: 71709f7721e0aa1506ffbebe42ba4c6fcea189a7
SHA256: 806fe6affdba2ea2b4a076d082542287f18c73e35c0ebd12ffae48ad2de0f4ec
SHA512: a1cb2799d2d06352cc5f270ce33bcbb292624739d498fb2e881d6c1baedbab5cc53d19d7f2d4fa7a857f4e97badf666defedc48c49f1724717ff2da93e644fe0
Homepage: https://cran.r-project.org/package=bayesammi
Description: CRAN Package 'bayesammi' (Bayesian Estimation of the Additive Main Effects andMultiplicative Interaction Model)
 Performs Bayesian estimation of the additive main effects and multiplicative
 interaction (AMMI) model. The method is explained in Crossa, J.,
 Perez-Elizalde, S., Jarquin, D., Cotes, J.M., Viele, K., Liu, G. and
 Cornelius, P.L. (2011) (<doi:10.2135/cropsci2010.06.0343>).

Package: r-cran-bayesanova
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mcmcpack
Suggests: r-cran-coda, r-cran-knitr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bayesanova_1.6-1.ca2004.1_all.deb
Size: 130712
MD5sum: e51e01cf380e2daca41273e4281cf26a
SHA1: b8e1184ba604d846d97d231ff1627c9d90e01e3a
SHA256: cd08995b74f7ffc92acbd37807d50c295f0e606c9b76d43aac1618897a3ff256
SHA512: f7beb92b2e7bf5e399439c1e4df324d516d71091c540c466e36f741f3c874162082f4ce9b7ce3e547c10f728348068dbde1a19dd5d61090ae513f254ab988b65
Homepage: https://cran.r-project.org/package=bayesanova
Description: CRAN Package 'bayesanova' (Bayesian Inference in the Analysis of Variance via Markov ChainMonte Carlo in Gaussian Mixture Models)
 Provides a Bayesian version of the analysis of variance based on a
 three-component Gaussian mixture for which a Gibbs sampler produces
 posterior draws. For details about the Bayesian ANOVA based on Gaussian
 mixtures, see Kelter (2019) <arXiv:1906.07524>.

Package: r-cran-bayesarimax
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-bayesarimax_0.1.1-1.ca2004.1_all.deb
Size: 15848
MD5sum: 2d78f559c336f447dc4e7cd7cc7d0552
SHA1: 3757bb22810c88a05a12d28a90cc167f8b1a0415
SHA256: 003e3d1c115ec53600686399cbf12c8d5875316094b72c15f77ced71dfe77b02
SHA512: 1058870e35a2fc01a7b69e17a03bc62c4c8cf33bbf08f1a67d962d29126775b37e4eeb6ef452f4cc676aff6198f0f25f5e58ad589ad103408250d7261d4ca4b2
Homepage: https://cran.r-project.org/package=BayesARIMAX
Description: CRAN Package 'BayesARIMAX' (Bayesian Estimation of ARIMAX Model)
 The Autoregressive Integrated Moving Average (ARIMA) model is very popular
 univariate time series model. Its application has been widened by the
 incorporation of exogenous variable(s) (X) in the model and modified as
 ARIMAX by Bierens (1987) <doi:10.1016/0304-4076(87)90086-8>. In this package
 we estimate the ARIMAX model using Bayesian framework.

Package: r-cran-bayesassurance
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1214
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-plot3d, r-cran-pbapply, r-cran-dplyr, r-cran-mass, r-cran-rlang, r-cran-mathjaxr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesassurance_0.1.0-1.ca2004.1_all.deb
Size: 727076
MD5sum: 152300f7e5e47cd212a46710767e2023
SHA1: 782f06e4ad0a9281091c287df54ecd608dc7c27d
SHA256: 4fbfed929678868deb68f2440c5070a451e582ad813f0e0c74855865eee27813
SHA512: 75662cb67e4ab2fb153629a83af726ba599ba35f22d77fe251a050b9d1ff8913be23d5dc4b197833f59f57869428907f6513a87477c2bb681583b15207b75c63
Homepage: https://cran.r-project.org/package=bayesassurance
Description: CRAN Package 'bayesassurance' (Bayesian Assurance Computation)
 Computes Bayesian assurance under various settings characterized by
 different assumptions and objectives, including precision-based conditions,
 credible intervals, and goal functions.  All simulation-based functions
 included in this package rely on a two-stage Bayesian method that assigns
 two distinct priors to evaluate the probability of observing a positive
 outcome, which addresses subtle limitations that take place when using the
 standard single-prior approach.  For more information, please refer to Pan
 and Banerjee (2021) <arXiv:2112.03509>.

Package: r-cran-bayesat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayesat_0.1.0-1.ca2004.1_all.deb
Size: 67636
MD5sum: 2dc566e25d2846070240774788b26058
SHA1: c0a1651abb110ab56793fb2769f8c7fd94ce0f14
SHA256: 09c4cf2279946dbd20553fd6565300bc7803cbb14b0bc101e7ec811ebd3afe36
SHA512: e76069d8645e93f7e893b77b13a6c6e193c140a34475de206117aea2428fc5f9c1f25c2acdcc2ca2d0a1da613261b991998b3a2ec74f8205f18a6cbff80eb88d
Homepage: https://cran.r-project.org/package=BayesAT
Description: CRAN Package 'BayesAT' (Bayesian Adaptive Trial)
 Bayesian adaptive trial algorithm implements multiple-stage interim
 analysis. Package includes data generating function, and Bayesian hypothesis
 testing function.

Package: r-cran-bayesbekk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mts, r-cran-coda, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayesbekk_0.1.1-1.ca2004.1_all.deb
Size: 17764
MD5sum: 8a5eae5221c43c382779627daeaa1f60
SHA1: 1ae98d7a0e145c3cb77c87cb7a8903e64407a333
SHA256: 3fce7b50f79a5f4e28dfc31988fec60b1593de3f1853fc9f0a0af02ce473fe08
SHA512: 1761dc15412eafe37511820394ae7726f8c938ac7268820027596dc736ba98bd31c754e4b40644bd70f3ee94de30a70fda10ee77855d0d65b2ca1120e3f36777
Homepage: https://cran.r-project.org/package=BayesBEKK
Description: CRAN Package 'BayesBEKK' (Bayesian Estimation of Bivariate Volatility Model)
 The Multivariate Generalized Autoregressive Conditional Heteroskedasticity
 (MGARCH) models are used for modelling the volatile multivariate data sets.
 In this package a variant of MGARCH called BEKK (Baba, Engle, Kraft, Kroner)
 proposed by Engle and Kroner (1995) <http://www.jstor.org/stable/3532933>
 has been used to estimate the bivariate time series data using Bayesian
 technique.

Package: r-cran-bayesbinmix
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-label.switching, r-cran-foreach, r-cran-doparallel, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bayesbinmix_1.4.1-1.ca2004.1_all.deb
Size: 158332
MD5sum: 94fb55c7e2bab7af9f8960eb6fc087f8
SHA1: 56f3b6753ce41ee47238775cbdda931a939224fe
SHA256: a50bd6f3da8c95fe2e0f873510777aa169c40892fd9b513a3fefd4e973612905
SHA512: bd2c5afa548fb4789faa8033fe56114177b428d9d4099bb9cdb4400f3797678916575408ea7e7f7effb93797873ff958f6e3cb6432b009dd73a08f35d0626ca2
Homepage: https://cran.r-project.org/package=BayesBinMix
Description: CRAN Package 'BayesBinMix' (Bayesian Estimation of Mixtures of Multivariate BernoulliDistributions)
 Fully Bayesian inference for estimating the number of clusters and related
 parameters to heterogeneous binary data.

Package: r-cran-bayesbio
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-rismed, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesbio_1.0.0-1.ca2004.1_all.deb
Size: 49928
MD5sum: 66bb024772e1c9871b8757f849848b2e
SHA1: ba29ee52788a314792863ce2004127114a616195
SHA256: 5db63a3666178fea6e49efa06ff233519e8eed427abccfe91fc084d473a2176f
SHA512: f4983b28fa46ca7ec6bd83f0b32af8c535c06561401ee79098b783e50ab9b7814090fde4a69e8d78f76ecd99b77c2c434139321466614b7b3ebbd1183083205c
Homepage: https://cran.r-project.org/package=bayesbio
Description: CRAN Package 'bayesbio' (Miscellaneous Functions for Bioinformatics and BayesianStatistics)
 A hodgepodge of hopefully helpful functions. Two of these perform shrinkage
 estimation: one using a simple weighted method where the user can specify
 the degree of shrinkage required, and one using James-Stein shrinkage
 estimation for the case of unequal variances.

Package: r-cran-bayesboot
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-hdinterval
Suggests: r-cran-testthat, r-cran-foreach, r-cran-doparallel, r-cran-boot
Filename: pool/dists/focal/main/r-cran-bayesboot_0.2.3-1.ca2004.1_all.deb
Size: 159912
MD5sum: 428638674b4ec12308cac31fc5cf026d
SHA1: 483151502ab0347fc9264c09eb64c0c66c399468
SHA256: 542eab9917d9147afaa11bfc09b95b27ca6280e057ab798725ca327db505868c
SHA512: 95b75274c809824a77ec4ee0c00998753e19253fd54981c7eb534db236385ece42f8d19cd47caceab22fb92602f1e1729ab7b350df597948e3c468fb8a649b46
Homepage: https://cran.r-project.org/package=bayesboot
Description: CRAN Package 'bayesboot' (An Implementation of Rubin's (1981) Bayesian Bootstrap)
 Functions for performing the Bayesian bootstrap as introduced by Rubin
 (1981) <doi:10.1214/aos/1176345338> and for summarizing the result.  The
 implementation can handle both summary statistics that works on a weighted
 version of the data and summary statistics that works on a resampled data
 set.

Package: r-cran-bayesbp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iterators, r-cran-openxlsx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesbp_1.1-1.ca2004.1_all.deb
Size: 112496
MD5sum: 863a15af87aada7847ff41db08958350
SHA1: 21829276f77175c2aba6d44c1a398434b64edafd
SHA256: f8e4f1dff1058ce32379d8eab389eb11853873aa1557135558750fcc0595ea7d
SHA512: 055b057b9016d4e22699587f49100612a5d8795ebfd4ed7fd1ac78d65a5e094972392726bc800fe1b591f27c0227fc61fe04f3aeada152aa7fc9ea1c71489dc7
Homepage: https://cran.r-project.org/package=BayesBP
Description: CRAN Package 'BayesBP' (Bayesian Estimation using Bernstein Polynomial Fits Rate Matrix)
 Smoothed lexis diagrams with Bayesian method specifically tailored to cancer
 incidence data. Providing to calculating slope and constructing credible
 interval.  LC Chien et al. (2015) <doi:10.1080/01621459.2015.1042106>.  LH
 Chien et al. (2017) <doi:10.1002/cam4.1102>.

Package: r-cran-bayescace
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1885
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-rdpack, r-cran-forestplot, r-cran-metafor, r-cran-lme4
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-bayescace_1.2.3-1.ca2004.1_all.deb
Size: 1812084
MD5sum: 354fef418dc5fbcd79d6998d4579b593
SHA1: 5348240098b35bc411321a0422d72185a8ce418e
SHA256: 1687350a5bea6718e6f126dca9106101535694e26bb4641065835b9e3f4edbaa
SHA512: 86e8caa033d8a07e8b2cacd659fbdab0a3b2729a92ef9266b47e7f86786b8d7ce3a4421338c2bc39a207efa6de7758010d00d2379133fd745990babf74901611
Homepage: https://cran.r-project.org/package=BayesCACE
Description: CRAN Package 'BayesCACE' (Bayesian Model for CACE Analysis)
 Performs CACE (Complier Average Causal Effect analysis) on either a single
 study or meta-analysis of datasets with binary outcomes, using either
 complete or incomplete noncompliance information. Our package implements the
 Bayesian methods proposed in Zhou et al. (2019) <doi:10.1111/biom.13028>,
 which introduces a Bayesian hierarchical model for estimating CACE in
 meta-analysis of clinical trials with noncompliance, and Zhou et al. (2021)
 <doi:10.1080/01621459.2021.1900859>, with an application example on Epidural
 Analgesia.

Package: r-cran-bayescombo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-labstats, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayescombo_1.0-1.ca2004.1_all.deb
Size: 184848
MD5sum: e401e7dd038c8ad25563f2b66675bf1d
SHA1: f4ef6b051b031dd23150b3d51e18b51ba539f30d
SHA256: c0de57d4e1f39d9042cf37f8ff8ca796affa753306d11edebf2b2d29ea1ccc30
SHA512: 8066f932aaa8980e8658bd32a4fe2d1e702a3335b2e82a4557c856dd14cfd090966b22d98a2235c3f237dbab833a632981f1d45e7dbc555f09dbc1d7754a19d3
Homepage: https://cran.r-project.org/package=BayesCombo
Description: CRAN Package 'BayesCombo' (Bayesian Evidence Combination)
 Combine diverse evidence across multiple studies to test a high level
 scientific theory. The methods can also be used as an alternative to a
 standard meta-analysis.

Package: r-cran-bayescpclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-extradistr, r-cran-rcppalgos
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayescpclust_0.1.0-1.ca2004.1_all.deb
Size: 96196
MD5sum: 1efa871944332ca6afabdd40667f09fc
SHA1: b38f685da71b90dd470efa04c5d486fbac8716f2
SHA256: 90c5caf14901903741b0671f2d654c32a57a12a074379bd4baa31d9c895e3159
SHA512: 7a490e568ef05b9256849e0fcd8545e824daa4468555fbf1df48052dbb2d588196449ae88cfa2b8c9e3cd6afdf64d69f0e1c5ea6b2787cccc9adc462d28060c7
Homepage: https://cran.r-project.org/package=BayesCPclust
Description: CRAN Package 'BayesCPclust' (A Bayesian Approach for Clustering Constant-Wise Change-PointData)
 A Gibbs sampler algorithm was developed to estimate change points in
 constant-wise data sequences while performing clustering simultaneously. The
 algorithm is described in da Cruz, A. C. and de Souza, C. P. E "A Bayesian
 Approach for Clustering Constant-wise Change-point Data"
 <doi:10.48550/arXiv.2305.17631>.

Package: r-cran-bayescr
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve, r-cran-truncdist, r-cran-mvtnorm, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-bayescr_2.1-1.ca2004.1_all.deb
Size: 97424
MD5sum: 0b06506b8e10f2c1745a818972326c1a
SHA1: a8a5fde3a2b05f4133091626550dc918ced4b245
SHA256: 5e1c611ef4046c0c236e3aee3578b93a67f071adb6e7cafef1f887b599d12a13
SHA512: b5cafb5c1c6862b7451559f5ba22532823d14872100529d8fa943086adee2766d491cb578880adf75dcd024259076da104280c659bdc4013c48c8804c0a9cc53
Homepage: https://cran.r-project.org/package=BayesCR
Description: CRAN Package 'BayesCR' (Bayesian Analysis of Censored Regression Models Under ScaleMixture of Skew Normal Distributions)
 Propose a parametric fit for censored linear regression models based on SMSN
 distributions, from a Bayesian perspective. Also, generates SMSN random
 variables.

Package: r-cran-bayesct
Architecture: all
Version: 0.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 639
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesdp, r-cran-dplyr, r-cran-purrr, r-cran-survival, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-pkgdown, r-cran-devtools, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bayesct_0.99.3-1.ca2004.1_all.deb
Size: 262880
MD5sum: 65dc34b1bc262583e44ae0ed60359746
SHA1: c85d5e07e577f240c7688101b7bf7faaa17049dc
SHA256: cf6cdd63385cf05d6edda663e009e1f1d52af32b03c4dded1fe9b233a6fc8e57
SHA512: 2ed2e9149e1031b6f0525a2de3ca9df56352660e5a01e47d74203804f9738ea9dd12ad48460bb8c3c03cac6f4fd80f32e82082b3b4808c8726f5f86bfcba3bfe
Homepage: https://cran.r-project.org/package=bayesCT
Description: CRAN Package 'bayesCT' (Simulation and Analysis of Adaptive Bayesian Clinical Trials)
 Simulation and analysis of Bayesian adaptive clinical trials for binomial,
 Gaussian, and time-to-event data types, incorporates historical data and
 allows early stopping for futility or early success. The package uses novel
 and efficient Monte Carlo methods for estimating Bayesian posterior
 probabilities, evaluation of loss to follow up, and imputation of incomplete
 data. The package has the functionality for dynamically incorporating
 historical data into the analysis via the power prior or non-informative
 priors.

Package: r-cran-bayesctdesign
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-eha, r-cran-ggplot2, r-cran-survival, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-bayesctdesign_0.6.1-1.ca2004.1_all.deb
Size: 305140
MD5sum: 534357f79953806c5f21a843c2ea0c00
SHA1: b51a476fba3b7a83baf70402e712ff3702803636
SHA256: cd8ccb476af05769cb451ff85619e8ee43651fea8463e95a394216c0bc1abbd1
SHA512: 01d9dd33e5a4425e12322a70446274df3c18a0b715b0d096ba30dfad6430d9999929038b5fc92a03068408d3e26998df5bd5a4624d4592feaecade2739d43eca
Homepage: https://cran.r-project.org/package=BayesCTDesign
Description: CRAN Package 'BayesCTDesign' (Two Arm Bayesian Clinical Trial Design with and WithoutHistorical Control Data)
 A set of functions to help clinical trial researchers calculate power and
 sample size for two-arm Bayesian randomized clinical trials that do or do
 not incorporate historical control data.  At some point during the design
 process, a clinical trial researcher who is designing a basic two-arm
 Bayesian randomized clinical trial needs to make decisions about power and
 sample size within the context of hypothesized treatment effects.  Through
 simulation, the simple_sim() function will estimate power and other user
 specified clinical trial characteristics at user specified sample sizes
 given user defined scenarios about treatment effect,control group
 characteristics, and outcome.  If the clinical trial researcher has access
 to historical control data, then the researcher can design a two-arm
 Bayesian randomized clinical trial that incorporates the historical data.
 In such a case, the researcher needs to work through the potential
 consequences of historical and randomized control differences on trial
 characteristics, in addition to working through issues regarding power in
 the context of sample size, treatment effect size, and outcome.  If a
 researcher designs a clinical trial that will incorporate historical control
 data, the researcher needs the randomized controls to be from the same
 population as the historical controls.  What if this is not the case when
 the designed trial is implemented?  During the design phase, the researcher
 needs to investigate the negative effects of possible historic/randomized
 control differences on power, type one error, and other trial
 characteristics.  Using this information, the researcher should design the
 trial to mitigate these negative effects.  Through simulation, the
 historic_sim() function will estimate power and other user specified
 clinical trial characteristics at user specified sample sizes given user
 defined scenarios about historical and randomized control differences as
 well as treatment effects and outcomes.  The results from historic_sim() and
 simple_sim() can be printed with print_table() and graphed with plot_table()
 methods.  Outcomes considered are Gaussian, Poisson, Bernoulli, Lognormal,
 Weibull, and Piecewise Exponential.  The methods are described in Eggleston
 et al. (2021) <doi:10.18637/jss.v100.i21>.

Package: r-cran-bayescvi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 488
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-e1071, r-cran-mclust, r-cran-ggplot2, r-cran-universalcvi
Filename: pool/dists/focal/main/r-cran-bayescvi_1.0.1-1.ca2004.1_all.deb
Size: 444692
MD5sum: 7a4592f954a37c7921664848a034ce61
SHA1: cece779dff07f23e1f58e8f3b08701ee1bad54d6
SHA256: 18a2cf21970fe0a7bb0e69b3981de9371dbb2457b87b37c536436002618254a5
SHA512: 7042b4b1138d3a20dcccef0ff4728c63a97820abc597c752a29c352ecd9a7ebdec8661ff06c0dccc2df6290f8b9720a6f094cd217ac6d6404e9cbc983fb7aea4
Homepage: https://cran.r-project.org/package=BayesCVI
Description: CRAN Package 'BayesCVI' (Bayesian Cluster Validity Index)
 Algorithms for computing and generating plots with and without error bars
 for Bayesian cluster validity index (BCVI) (O. Preedasawakul, and N.
 Wiroonsri, A Bayesian Cluster Validity Index, Computational Statistics &
 Data Analysis, 202, 108053, 2025. <doi:10.1016/j.csda.2024.108053>) based on
 several underlying cluster validity indexes (CVIs) including
 Calinski-Harabasz, Chou-Su-Lai, Davies-Bouldin, Dunn,
 Pakhira-Bandyopadhyay-Maulik, Point biserial correlation, the score
 function, Starczewski, and Wiroonsri indices for hard clustering, and
 Correlation Cluster Validity, the generalized C, HF, KWON, KWON2, Modified
 Pakhira-Bandyopadhyay-Maulik, Pakhira-Bandyopadhyay-Maulik, Tang,
 Wiroonsri-Preedasawakul, Wu-Li, and Xie-Beni indices for soft clustering.
 The package is compatible with K-means, fuzzy C means, EM clustering, and
 hierarchical clustering (single, average, and complete linkage). Though BCVI
 is compatible with any underlying existing CVIs, we recommend users to use
 either WI or WP as the underlying CVI.

Package: r-cran-bayesda
Architecture: all
Version: 2012.04-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-bayesda_2012.04-1-1.ca2004.1_all.deb
Size: 66656
MD5sum: fe0bec477a73c10dba40312753207b25
SHA1: 7d191d0212f57248af6de955c7451aafa4a0e049
SHA256: bf8fda88b75653485743908191ec0c9e72191619324a720fd7211f2fedd6dd19
SHA512: 2c6d2ec55b36d84c7a85ced6bbab624d4c9179a9c2ab08a4df2ab68035c2c48ca51bc4aac48e41471abbf8e8897c04bb21364da08355f45861fc71b95eafc555
Homepage: https://cran.r-project.org/package=BayesDA
Description: CRAN Package 'BayesDA' (Functions and Datasets for the book "Bayesian Data Analysis")
 Functions for Bayesian Data Analysis, with datasets from the book "Bayesian
 data Analysis (second edition)" by Gelman, Carlin, Stern and Rubin. Not all
 datasets yet, hopefully completed soon.

Package: r-cran-bayesdesign
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bayesdesign_0.1.1-1.ca2004.1_all.deb
Size: 35204
MD5sum: b89d46f7c28bc33d8f78b8cdff66753a
SHA1: fa8e3be03144103416c566be40b661a68557e886
SHA256: a0c62788d4ca89c03ad8e3cf3a5f8937117b3b991912f4b71ca6c418ce847b10
SHA512: 88dbeb30c1322dfbaffd5188bd4a12b56dd60dcd76e8c2442482b55cb909afd40d08b68495ea37b94b6eb84a079713a9b242d44e07fe8947fcf2c17c6d67c42d
Homepage: https://cran.r-project.org/package=BayesDesign
Description: CRAN Package 'BayesDesign' (Bayesian Single-Arm Design with Survival Endpoints)
 The proposed event-driven approach for Bayesian two-stage single-arm phase
 II trial design is a novel clinical trial design and can be regarded as an
 extension of the Simon’s two-stage design with the time-to-event endpoint.
 This design is motivated by cancer clinical trials with immunotherapy and
 molecularly targeted therapy, in which time-to-event endpoint is often a
 desired endpoint.

Package: r-cran-bayesdip
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bayesdip_0.1.1-1.ca2004.1_all.deb
Size: 124548
MD5sum: 04860955606dca54fdbcae784e936b4b
SHA1: 60e4981388d7cb3e0295e9f5f3b4c45d6781f3ee
SHA256: d671e0eb0e23e141ef422758ef66d579a2b1888291168b95ef8eb0e57b8093ad
SHA512: 731562672b377172ea70d4bff0805e035cb69eee682a7216e96b28775f9ee34de63d7d3f43421ed42b551c30a46ad7d9ff477e69a2a43e6619638ad0fbbe4ea5
Homepage: https://cran.r-project.org/package=BayesDIP
Description: CRAN Package 'BayesDIP' (Bayesian Decreasingly Informative Priors for Early TerminationPhase II Trials)
 Provide early termination phase II trial designs with a decreasingly
 informative prior (DIP) or a regular Bayesian prior chosen by the user. The
 program can determine the minimum planned sample size necessary to achieve
 the user-specified admissible designs. The program can also perform power
 and expected sample size calculations for the tests in early termination
 Phase II trials.  See Wang C and Sabo RT (2022)
 <doi:10.18203/2349-3259.ijct20221110>; Sabo RT (2014)
 <doi:10.1080/10543406.2014.888441>.

Package: r-cran-bayesdissolution
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-geor, r-cran-mcmcpack, r-cran-mnormt, r-cran-pscl, r-cran-shiny
Suggests: r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-bayesdissolution_0.2.1-1.ca2004.1_all.deb
Size: 106360
MD5sum: d8a16184a964656559384205b4833ee7
SHA1: 051c998ae82c5182f08edaaa472fbb0f70bad82f
SHA256: 4964d1ce340f694a8508dcea6c322a62a8e23abe8c91ad263599e0ac525fba77
SHA512: ed041db213a4f932ce6058ea420bef6e23a6d4b69b46c81bea75535b7a0364856d2f4300e1c149b25b787c7f518208539780febc4eec9e78a2e689bb2ace0e55
Homepage: https://cran.r-project.org/package=BayesDissolution
Description: CRAN Package 'BayesDissolution' (Bayesian Models for Dissolution Testing)
 Fits Bayesian models (amongst others) to dissolution data sets that can be
 used for dissolution testing. The package was originally constructed to
 include only the Bayesian models outlined in Pourmohamad et al. (2022)
 <doi:10.1111/rssc.12535>. However, additional Bayesian and non-Bayesian
 models (based on bootstrapping and generalized pivotal quanties) have also
 been added. More models may be added over time.

Package: r-cran-bayesdistreg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-bayesdistreg_0.1.0-1.ca2004.1_all.deb
Size: 85012
MD5sum: 9e6cfd00cbb50f45f23bb74480b15ff6
SHA1: ecfb03edfb7dbd225e5c2c560035e51f10d8d266
SHA256: a265b2c9b058b92caf505a89aa791e43140d92ae1319eb1e48b3311a5c025f33
SHA512: bd0949fe1b95322dc29a3ae501c58cc64d0efe4959837cfacfc61bafdbd9b5a58ef262a7a3c3dc5bae5b88a937694d4a6284c4942616734d3815bb759d4ce4db
Homepage: https://cran.r-project.org/package=bayesdistreg
Description: CRAN Package 'bayesdistreg' (Bayesian Distribution Regression)
 Implements Bayesian Distribution Regression methods. This package contains
 functions for three estimators (non-asymptotic, semi-asymptotic and
 asymptotic) and related routines for Bayesian Distribution Regression in
 Huang and Tsyawo (2018) <doi:10.2139/ssrn.3048658> which is also the
 recommended reference to cite for this package. The functions can be grouped
 into three (3) categories. The first computes the logit likelihood function
 and posterior densities under uniform and normal priors. The second contains
 Independence and Random Walk Metropolis-Hastings Markov Chain Monte Carlo
 (MCMC) algorithms as functions and the third category of functions are
 useful for semi-asymptotic and asymptotic Bayesian distribution regression
 inference.

Package: r-cran-bayesertools
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1495
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-ggplot2, r-cran-gt, r-cran-cli, r-cran-rlang, r-cran-rstanarm, r-cran-rstanemax, r-cran-loo, r-cran-tidybayes, r-cran-posterior
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstan, r-cran-htmltools, r-cran-digest, r-cran-ggforce, r-cran-xgxr, r-cran-scales, r-cran-readr, r-cran-bayestestr, r-cran-patchwork, r-cran-projpred, r-cran-rsample, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-bayesertools_0.2.3-1.ca2004.1_all.deb
Size: 1201780
MD5sum: 816b020c284960a7d1b470c57c996302
SHA1: e73b6569f1f838a37e462104e73b33e4929e219e
SHA256: b9ce5ba3f51f5e211fd1116f6a82e11a53abcc81cb92d288d57c3be2876f8ff7
SHA512: 1d862351159f42c9c25cddd3065966eccd723d585fb084c9c4f45551d532bc57a032a7c43ee5b3df28d870065af094b432de589291a4a47e5894bb3bfaab6de7
Homepage: https://cran.r-project.org/package=BayesERtools
Description: CRAN Package 'BayesERtools' (Bayesian Exposure-Response Analysis Tools)
 Suite of tools that facilitate exposure-response analysis using Bayesian
 methods. The package provides a streamlined workflow for fitting types of
 models that are commonly used in exposure-response analysis - linear and
 Emax for continuous endpoints, logistic linear and logistic Emax for binary
 endpoints, as well as performing simulation and visualization. Learn more
 about the workflow at <https://genentech.github.io/BayesERbook/>.

Package: r-cran-bayesestdft
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-bayesestdft_1.0.0-1.ca2004.1_all.deb
Size: 875896
MD5sum: 0a2a9b63128da1aa2aedae20c4eaefd8
SHA1: c24192a24baa813bae0843264cb78d659d8bb6b3
SHA256: 873d1144241fd0170bf4b8ba1a9cd524d7dc110617cec12b29c2703263760ccd
SHA512: 90898b2fcb3379cb5b6f64bbeb777647380583822528572fbc58668a884a5832db8b7bafabd85940f25d8adb6438d09a961eb51a7f66abc00aad0537f88b2430
Homepage: https://cran.r-project.org/package=bayesestdft
Description: CRAN Package 'bayesestdft' (Estimating the Degrees of Freedom of the Student'st-Distribution under a Bayesian Framework)
 A Bayesian framework to estimate the Student's t-distribution's degrees of
 freedom is developed. Markov Chain Monte Carlo sampling routines are
 developed as in <doi:10.3390/axioms11090462> to sample from the posterior
 distribution of the degrees of freedom. A random walk Metropolis algorithm
 is used for sampling when Jeffrey's and Gamma priors are endowed upon the
 degrees of freedom. In addition, the Metropolis-adjusted Langevin algorithm
 for sampling is used under the Jeffrey's prior specification. The Log-normal
 prior over the degrees of freedom is posed as a viable choice with
 comparable performance in simulations and real-data application, against
 other prior choices, where an Elliptical Slice Sampler is used to sample
 from the concerned posterior.

Package: r-cran-bayesfbhborrow
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-survival, r-cran-invgamma, r-cran-mvtnorm, r-cran-checkmate, r-cran-magrittr, r-cran-ggplot2
Suggests: r-cran-tibble, r-cran-readxl, r-cran-testthat, r-cran-rmarkdown, r-cran-ggfortify, r-cran-condsurv
Filename: pool/dists/focal/main/r-cran-bayesfbhborrow_2.0.2-1.ca2004.1_all.deb
Size: 248044
MD5sum: 326a43ad3ccf6e55f7effcbdd2ca4444
SHA1: 8f5787c84c1f294319272669521b334203fe96d7
SHA256: 3dc409c697edc9af5df3f168e792576c46b602cf2372c8dcd26e8c8517504427
SHA512: 76a9990e5cce8414f4bc5a8b9646b1b909e281cd82bbd62c678f0badd8449c7415298bdc1843c1a68736c767f3af04f1ce2c128130e9f594e3d7071b78604335
Homepage: https://cran.r-project.org/package=BayesFBHborrow
Description: CRAN Package 'BayesFBHborrow' (Bayesian Dynamic Borrowing with Flexible Baseline HazardFunction)
 Allows Bayesian borrowing from a historical dataset for time-to- event data.
 A flexible baseline hazard function is achieved via a piecewise exponential
 likelihood with time varying split points and smoothing prior on the
 historic baseline hazards. The method is described in Scott and Lewin (2024)
 <doi:10.48550/arXiv.2401.06082>, and the software paper is in Axillus et al.
 (2024) <doi:10.48550/arXiv.2408.04327>.

Package: r-cran-bayesfluxr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1175
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-juliacall
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesfluxr_0.1.3-1.ca2004.1_all.deb
Size: 1062760
MD5sum: 71053717f6fcc066fc6dcdc12fe659d4
SHA1: 3a817ed2cec2e32205fa4cad5819643b9ea8f647
SHA256: 0bf0736dbe4fcea7f6a990e1720731ee88c24b297db59ed60039535888e217df
SHA512: f57a960a931f3e0b9b50eeda53610a3567ba0f4d0d37eee0123a21eda6cf0c79a48e412b08719222506ced58b906d17a0accdfb53316fad3e928d0efe635b081
Homepage: https://cran.r-project.org/package=BayesFluxR
Description: CRAN Package 'BayesFluxR' (Implementation of Bayesian Neural Networks)
 Implementation of 'BayesFlux.jl' for R; It extends the famous 'Flux.jl'
 machine learning library to Bayesian Neural Networks.  The goal is not to
 have the fastest production ready library, but rather to allow more people
 to be able to use and research on Bayesian Neural Networks.

Package: r-cran-bayesgesm
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gigrvg, r-cran-normalp, r-cran-formula
Suggests: r-cran-ssym
Filename: pool/dists/focal/main/r-cran-bayesgesm_1.4-1.ca2004.1_all.deb
Size: 173592
MD5sum: 4ca6bc94100ad7fe8b51fd36306597a8
SHA1: 164b3878892d85f844b32c1c490c6d814101a042
SHA256: 97e0f165eb661b15b8732757fd06f0fb7538cbcfc579aa52331385ae5afb6ae3
SHA512: 72518476676048e14bd2b1c0840e5c7ce28db9be7599f67a03d63d26267e2169f39cca3e88debb25070f3cb3634914220afc86c1f8cfdf20e01c30fce6397216
Homepage: https://cran.r-project.org/package=BayesGESM
Description: CRAN Package 'BayesGESM' (Bayesian Analysis of Generalized Elliptical Semi-ParametricModels and Flexible Measurement Error Models)
 Set of tools to perform the statistical inference based on the Bayesian
 approach for regression models under the assumption that independent
 additive errors follow normal, Student-t, slash, contaminated normal,
 Laplace or symmetric hyperbolic distributions, i.e., additive errors follow
 a scale mixtures of normal distributions. The regression models considered
 in this package are: (i) Generalized elliptical semi-parametric models,
 where both location and dispersion parameters of the response variable
 distribution include non-parametric additive components described by using
 B-splines; and (ii) Flexible measurement error models under the presence of
 homoscedastic and heteroscedastic random errors, which admit explanatory
 variables with and without measurement additive errors as well as the
 presence of a non-parametric components approximated by using B-splines.

Package: r-cran-bayesgof
Architecture: all
Version: 5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orthopolynom, r-cran-vgam, r-cran-bolstad2, r-cran-nleqslv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayesgof_5.2-1.ca2004.1_all.deb
Size: 305272
MD5sum: 604ec534fa42d0d0920ec6999dc0a7ea
SHA1: 80a322c05d3909074f0204774dcb1e75225c783a
SHA256: 93382ce87923245656e4fbc542a9e7b53f20a86b321b2bb073c79ee7717c00e7
SHA512: 515fbaa4e5d291cfc81a2e5c29997d9f6fdb77819c81793ee87c2e3a91737e6b6bdae1f4e14c02c936201d8a06f0dc63eb7b13e04778a26fe8e03443c471b94b
Homepage: https://cran.r-project.org/package=BayesGOF
Description: CRAN Package 'BayesGOF' (Bayesian Modeling via Frequentist Goodness-of-Fit)
 A Bayesian data modeling scheme that performs four interconnected tasks: (i)
 characterizes the uncertainty of the elicited parametric prior; (ii)
 provides exploratory diagnostic for checking prior-data conflict; (iii)
 computes the final statistical prior density estimate; and (iv) executes
 macro- and micro-inference. Primary reference is Mukhopadhyay, S. and
 Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist
 Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

Package: r-cran-bayesgwqs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-rjags, r-cran-stringr, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesgwqs_0.1.1-1.ca2004.1_all.deb
Size: 146048
MD5sum: 572e80fe7d69b59a782adaf7f39c039a
SHA1: 287f649d682ec1573c6db929e1cf7e3496cc87ce
SHA256: 32a212e063a11921b6eac50c76c1dcd30b1549909d8bbc225cb48d40a1b4620e
SHA512: d914d6749d13cb07af79ef44d6389fc45983f8b7fb12f5ad55cf90f3e38778f666b6585f87de4b7139962dee81b97043b84db5131438cabd97bcde9eb95de4cb
Homepage: https://cran.r-project.org/package=BayesGWQS
Description: CRAN Package 'BayesGWQS' (Bayesian Grouped Weighted Quantile Sum Regression)
 Fits Bayesian grouped weighted quantile sum (BGWQS) regressions for one or
 more chemical groups with binary outcomes. Wheeler DC et al. (2019)
 <doi:10.1016/j.sste.2019.100286>.

Package: r-cran-bayesian
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brms, r-cran-parsnip, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-devtools, r-cran-future, r-cran-knitr, r-cran-recipes, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstan, r-cran-spelling, r-cran-testthat, r-cran-workflows
Filename: pool/dists/focal/main/r-cran-bayesian_1.0.1-1.ca2004.1_all.deb
Size: 125972
MD5sum: 07d88aefde5786d03fc0457373f9ef5c
SHA1: 79edf129948e4125bb8837247a54660a6559c81f
SHA256: 03068167fcf687999bdea12862289262c04a4e4c5673a6a95e63121b2fd90728
SHA512: 1442624bd480983b8a74277c3584e5e87fda980830069ac831361ffc28eadacadc348db8a570947d5d7f578155a60724f7b51df4a481182b3181f8fedbf127a8
Homepage: https://cran.r-project.org/package=bayesian
Description: CRAN Package 'bayesian' (Bindings for Bayesian TidyModels)
 Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via
 'bayesian' <doi:10.5281/zenodo.4426836>. 'tidymodels' is a collection of
 packages for machine learning; see Kuhn and Wickham (2020)
 <https://www.tidymodels.org>).  The technical details of 'brms' and 'Stan'
 are described in Bürkner (2017) <doi:10.18637/jss.v080.i01>, Bürkner (2018)
 <doi:10.32614/RJ-2018-017>, and Carpenter et al. (2017)
 <doi:10.18637/jss.v076.i01>.

Package: r-cran-bayesiananimaltracker
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-trackreconstruction
Filename: pool/dists/focal/main/r-cran-bayesiananimaltracker_1.2-1.ca2004.1_all.deb
Size: 98224
MD5sum: 10a9ab0cc3e552790cb48e52fd4ec3bc
SHA1: 2bbde6275ea08a0c2e49021d8520a87b5d98e999
SHA256: ecf838b423f1b4832c7263b4126cffb8bc3b622d662ef5191c84056d5d1ea2e7
SHA512: 08430b6e277c4de532800919fe80c9aae052d08bb88743c4e5e135d7db4797cf16b2f52474ba50234fa506c2475523c3e76cb8449187dc06e752bdabac0e4e03
Homepage: https://cran.r-project.org/package=BayesianAnimalTracker
Description: CRAN Package 'BayesianAnimalTracker' (Bayesian Melding of GPS and DR Path for Animal Tracking)
 Bayesian melding approach to combine the GPS observations and Dead-Reckoned
 path for an accurate animal's track, or equivalently, use the GPS
 observations to correct the Dead-Reckoned path. It can take the measurement
 errors in the GPS observations into account and provide uncertainty
 statement about the corrected path. The main calculation can be done by the
 BMAnimalTrack function.

Package: r-cran-bayesianfactorzoo
Architecture: all
Version: 0.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mcmcpack, r-cran-reshape2, r-cran-mass, r-cran-timeseries, r-cran-coda, r-cran-mvtnorm, r-cran-matrixcalc, r-cran-ggplot2, r-cran-nse, r-cran-rdpack, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-bayesianfactorzoo_0.0.0.3-1.ca2004.1_all.deb
Size: 332764
MD5sum: 2d65e2b92713b57b1457097773825151
SHA1: 571af715f43e779961ef27e71e9cb77a9d5fe984
SHA256: 1a9b689f7554a67e17ada5a9c5b8f88a4ccad6fef1287283fa092425b5d37145
SHA512: 3c736ea849f23cc5af914a2c530b7c1457c2f362ad3ccc0bd63969578f9652f1819632138a83848dcd19c8bf8155d3f5ac28af49a0277b33a15dc79a4a40cf29
Homepage: https://cran.r-project.org/package=BayesianFactorZoo
Description: CRAN Package 'BayesianFactorZoo' (Bayesian Solutions for the Factor Zoo: We Just Ran TwoQuadrillion Models)
 Contains the functions to use the econometric methods in the paper
 Bryzgalova, Huang, and Julliard (2023) <doi:10.1111/jofi.13197>. In this
 package, we provide a novel Bayesian framework for analyzing linear asset
 pricing models: simple, robust, and applicable to high-dimensional problems.
 For a stand-alone model, we provide functions including BayesianFM() and
 BayesianSDF() to deliver reliable price of risk estimates for both tradable
 and nontradable factors. For competing factors and possibly nonnested
 models, we provide functions including continuous_ss_sdf(),
 continuous_ss_sdf_v2(), and dirac_ss_sdf_pvalue() to analyze
 high-dimensional models. If you use this package, please cite the paper. We
 are thankful to Yunan Ding and Jingtong Zhang for their research assistance.
 Any errors or omissions are the responsibility of the authors.

Package: r-cran-bayesianfitforecast
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesplot, r-cran-readxl, r-cran-openxlsx, r-cran-rstan, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesianfitforecast_1.0.0-1.ca2004.1_all.deb
Size: 3055104
MD5sum: 61ec2276b57165aabdbabf9d63b143fb
SHA1: 948cb46f4860ee0dadfebf06870b49413fc22db7
SHA256: 26bad659446a8a953314897de22d98733de6838c4a3c3960dd3ee887499929e0
SHA512: 38e7dbff24292df2ce6582d2a61d99ca6d20f8a0195b6b64bd880606a698a2c3cc80f75285940293c43d69bcb50ab5d3728a860059cb9aea6e4e58072ac7e2b6
Homepage: https://cran.r-project.org/package=BayesianFitForecast
Description: CRAN Package 'BayesianFitForecast' (Bayesian Parameter Estimation and Forecasting forEpidemiological Models)
 Methods for Bayesian parameter estimation and forecasting in epidemiological
 models.  Functions enable model fitting using Bayesian methods and generate
 forecasts with uncertainty quantification.  Implements approaches described
 in <doi:10.48550/arXiv.2411.05371> and <doi:10.1002/sim.9164>.

Package: r-cran-bayesiangammareg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayesiangammareg_0.1.0-1.ca2004.1_all.deb
Size: 64512
MD5sum: d273e529cc1f0451b3faf2f7ad80df08
SHA1: 702c6d2993322eed9c84fa03f1bd391cd86f2495
SHA256: c350b60a9d950e7fb59db55ac16d577de515b4731893b71b6a313783d53e797e
SHA512: 24ce236bcfa26bec6f3e13750cd0367d1dadcc8cf21185af3bdc5900cc56ed63d0ad50396fef1febb20f73978ae117e62a347716ef4b2ddad29bcb3164facf43
Homepage: https://cran.r-project.org/package=Bayesiangammareg
Description: CRAN Package 'Bayesiangammareg' (Bayesian Gamma Regression: Joint Mean and Shape Modeling)
 Adjust the Gamma regression models from a Bayesian perspective described by
 Cepeda and Urdinola (2012) <doi:10.1080/03610918.2011.600500>, modeling the
 parameters of mean and shape and using different link functions for the
 parameter associated to the mean. And calculates different adjustment
 statistics such as the Akaike information criterion and Bayesian information
 criterion.

Package: r-cran-bayesianglasso
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bayesianglasso_0.2.0-1.ca2004.1_all.deb
Size: 15832
MD5sum: 7682650d6ae669ae9aa2382fece039ce
SHA1: 58e9e460662889c5dca36696611acb10679d1914
SHA256: 53602cf0b5f64fd328dbdf29cbe1eb873be0626e7cca7c80223e20eaf3b17ee5
SHA512: 47189d502bb90497369fff1949c3b2f646ccef0d75cde69f98200cecbcc74aa154364b25538a87b63ace78bf1210cca6f3fb3f21c2a7645e82d1f80b7838a56f
Homepage: https://cran.r-project.org/package=BayesianGLasso
Description: CRAN Package 'BayesianGLasso' (Bayesian Graphical Lasso)
 Implements a data-augmented block Gibbs sampler for simulating the posterior
 distribution of concentration matrices for specifying the topology and
 parameterization of a Gaussian Graphical Model (GGM). This sampler was
 originally proposed in Wang (2012) <doi:10.1214/12-BA729>.

Package: r-cran-bayesianlaterality
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tmvtnorm, r-cran-rdpack
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesianlaterality_0.1.2-1.ca2004.1_all.deb
Size: 29168
MD5sum: 93c9630a37cbbb9b2db99719114e13a6
SHA1: fa591780e94b199fc18e6c55ef53c6e17f130dd1
SHA256: 30eaba8885cd48a2793d4fdb3436fadfd2b147025b1a56dcc6c65607a1d52981
SHA512: e0144eb5e0f252b7aad9d2b13e2b3b8f9c8698ea96a8f44342f91f919dba53e45a83299c252c38b894910cd85c50e736ec409359e6079be4c3eca4d58637c54d
Homepage: https://cran.r-project.org/package=BayesianLaterality
Description: CRAN Package 'BayesianLaterality' (Predict Brain Asymmetry Based on Handedness and DichoticListening)
 Functional differences between the cerebral hemispheres are a fundamental
 characteristic of the human brain. Researchers interested in studying these
 differences often infer underlying hemispheric dominance for a certain
 function (e.g., language) from laterality indices calculated from observed
 performance or brain activation measures . However, any inference from
 observed measures to latent (unobserved) classes has to consider the prior
 probability of class membership in the population. The provided functions
 implement a Bayesian model for predicting hemispheric dominance from
 observed laterality indices (Sorensen and Westerhausen, Laterality:
 Asymmetries of Body, Brain and Cognition, 2020,
 <doi:10.1080/1357650X.2020.1769124>).

Package: r-cran-bayesianmcpmod
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4045
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dosefinding, r-cran-future.apply, r-cran-ggplot2, r-cran-nloptr, r-cran-rbest
Suggests: r-cran-clindr, r-cran-data.table, r-cran-dofuture, r-cran-dorng, r-cran-dplyr, r-cran-future, r-cran-kableextra, r-cran-knitr, r-cran-mcpmodpack, r-cran-reactable, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bayesianmcpmod_1.1.0-1.ca2004.1_all.deb
Size: 1550948
MD5sum: 74fdefbc978d9f986b87bd3abe687ace
SHA1: ce99cc5a9469d268b38eeef26920de3b1ab2fe0d
SHA256: 0ab5b9cff930427a4277522d0d73344f885ee10b09572dd2b24067f74caf3fd4
SHA512: 2bfee0783c6e800d8160c6ebd063b427045fbf3b1d4304fcbbe80e13120a10e1d070ba76563d6f94b6334f39afa575ba8588fd045d40c451099464c58a9fd96e
Homepage: https://cran.r-project.org/package=BayesianMCPMod
Description: CRAN Package 'BayesianMCPMod' (Simulate, Evaluate, and Analyze Dose Finding Trials withBayesian MCPMod)
 Bayesian MCPMod (Fleischer et al. (2022) <doi:10.1002/pst.2193>) is an
 innovative method that improves the traditional MCPMod by systematically
 incorporating historical data, such as previous placebo group data. This R
 package offers functions for simulating, analyzing, and evaluating Bayesian
 MCPMod trials with normally distributed endpoints.  It enables the
 assessment of trial designs incorporating historical data across various
 true dose-response relationships and sample sizes. Robust mixture prior
 distributions, such as those derived with the Meta-Analytic-Predictive
 approach (Schmidli et al. (2014) <doi:10.1111/biom.12242>), can be specified
 for each dose group.  Resulting mixture posterior distributions are used in
 the Bayesian Multiple Comparison Procedure and modeling steps.  The modeling
 step also includes a weighted model averaging approach (Pinheiro et al.
 (2014) <doi:10.1002/sim.6052>).  Estimated dose-response relationships can
 be bootstrapped and visualized.

Package: r-cran-bayesianmediationa
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-r2jags, r-cran-car, r-cran-gplots, r-cran-lattice
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayesianmediationa_1.0.1-1.ca2004.1_all.deb
Size: 214304
MD5sum: 38f4cc90799126594906b8c0b14729c0
SHA1: c4c6b8219d503dd4f5e1adf3105b44d4872efe4d
SHA256: ed916aa3cedc3871cf30bcd238548580fd56f7508b11c94a12ded672b42d8f42
SHA512: 522d9702efb676fd58e7e55d464a99c53f025aaef97458adf2eb1370962fbfabbbb2890243e4b7e066191e70f8b1bddbd40a5b6b28893dd3e90ad9d186466890
Homepage: https://cran.r-project.org/package=BayesianMediationA
Description: CRAN Package 'BayesianMediationA' (Bayesian Mediation Analysis)
 We perform general mediation analysis in the Bayesian setting using the
 methods described in Yu and Li (2022, ISBN:9780367365479). With the package,
 the mediation analysis can be performed on different types of outcomes
 (e.g., continuous, binary, categorical, or time-to-event), with default or
 user-defined priors and predictive models. The Bayesian estimates and
 credible sets of mediation effects are reported as analytic results.

Package: r-cran-bayesiannetwork
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bnlearn, r-cran-heatmaply, r-cran-lattice, r-cran-networkd3, r-cran-plotly, r-cran-rintrojs, r-cran-shiny, r-cran-shinyace, r-cran-shinydashboard, r-cran-shinywidgets
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayesiannetwork_0.3.2-1.ca2004.1_all.deb
Size: 1351052
MD5sum: a1fd43a993ce17e7e1cfd92919946952
SHA1: 13333a020d72888a95f93d9ad576d8ff377a693a
SHA256: 5b46a9d1122992816fb8d18417a297bbc4a79dadd50cd49344dc7fd4c23a4dc7
SHA512: 2b895b798aa229f5c612f05e61e4e330afe759d0ad80f5239b859843758d06f56cf2d6ea2dc068b715af5989a2d5c06b7990b855da00e7b88f9edc66e71039e5
Homepage: https://cran.r-project.org/package=BayesianNetwork
Description: CRAN Package 'BayesianNetwork' (Bayesian Network Modeling and Analysis)
 A "Shiny"" web application for creating interactive Bayesian Network models,
 learning the structure and parameters of Bayesian networks, and utilities
 for classic network analysis.

Package: r-cran-bayesianpower
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesianpower_0.2.3-1.ca2004.1_all.deb
Size: 44644
MD5sum: cc709e0ca1d6bccb13c3d3dcbbb80c58
SHA1: bde577aeec3400b8788d3a8957265bbeb480a86e
SHA256: 928dd5722b866959dab67f34cca539f71aef3ca1007d89203ac46ceddca4e82a
SHA512: 3849585ccca65138227fd6736b8d52d7245365b60ac7604f66dd63f1a3a7b0af4259516cb13f513790775cd29f8637ebbe1b9e1a5eb950355cbf072820e36ef8
Homepage: https://cran.r-project.org/package=BayesianPower
Description: CRAN Package 'BayesianPower' (Sample Size and Power for Comparing Inequality ConstrainedHypotheses)
 A collection of methods to determine the required sample size for the
 evaluation of inequality constrained hypotheses by means of a Bayes factor.
 Alternatively, for a given sample size, the unconditional error
 probabilities or the expected conditional error probabilities can be
 determined. Additional material on the methods in this package is available
 in Klaassen, F., Hoijtink, H. & Gu, X. (2019) <doi:10.31219/osf.io/d5kf3>.

Package: r-cran-bayesianreasoning
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1890
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-ggtext, r-cran-gt, r-cran-magrittr, r-cran-png, r-cran-reshape2, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-curl, r-cran-httr, r-cran-knitr, r-cran-patchwork, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-bayesianreasoning_0.4.2-1.ca2004.1_all.deb
Size: 1372644
MD5sum: 9f05281fe84c7b92ff297ee04c52a2aa
SHA1: 5c40a4c1256bc7bb029680f095053a0d36c30717
SHA256: a62a935e19362d31f535fa6c2e5828672d653fe006e1d466f8e45c805fe34380
SHA512: 57370fd51e7042c9e7603cc889c425ba25395e8a04dd41abcea3192993c8474e8706ca97c111b7fee7662a934e8fbe2417ef0674e6105931bf1f19e9fe7f9e9b
Homepage: https://cran.r-project.org/package=BayesianReasoning
Description: CRAN Package 'BayesianReasoning' (Plot Positive and Negative Predictive Values for Medical Tests)
 Functions to plot and help understand positive and negative predictive
 values (PPV and NPV), and their relationship with sensitivity, specificity,
 and prevalence. See Akobeng, A.K. (2007)
 <doi:10.1111/j.1651-2227.2006.00180.x> for a theoretical overview of the
 technical concepts and Navarrete et al. (2015) for a practical explanation
 about the importance of their understanding <doi:10.3389/fpsyg.2015.01327>.

Package: r-cran-bayesiantreg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayesiantreg_1.0.1-1.ca2004.1_all.deb
Size: 101260
MD5sum: 518b74999779d4d3076a007125c5bb8f
SHA1: 6350d521d5355e2000a2f15d023011d41113ee41
SHA256: a1f13b7cca104ed815c1dc97da8e3a4919ee0302a90682bcb1c966ccd4914453
SHA512: 70e04eab699eb0a3858840682b0337e99bcdcca77f3becb154c9b5f743ef05bf6efc2ad1b7901718e5d76d5984be2fa5a5db951939049c3cd36b5f1341bfeafe
Homepage: https://cran.r-project.org/package=Bayesiantreg
Description: CRAN Package 'Bayesiantreg' (Bayesian t Regression for Modeling Mean and Scale Parameters)
 Performs Bayesian t Regression where mean and scale parameters are modeling
 by lineal regression structures, and the degrees of freedom parameters are
 estimated.

Package: r-cran-bayeslca
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-coda, r-cran-fields, r-cran-nlme, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-bayeslca_1.9-1.ca2004.1_all.deb
Size: 168496
MD5sum: 818f50a55655cf9c63834c5827dd1a82
SHA1: 72175d3636df437651af7299b0f4f5da278edc42
SHA256: 7020bb93e72544383a88919bc0e735a5bb46e760a1a4065f5f97ad28b178c772
SHA512: 85c54cb70c0fbc0357161a29d661d8718197a204fcca6cd95c061825eb07630a7a7499cc375ece57405e1743ca736ebc430c239ee94c534467738ac142a549b2
Homepage: https://cran.r-project.org/package=BayesLCA
Description: CRAN Package 'BayesLCA' (Bayesian Latent Class Analysis)
 Bayesian Latent Class Analysis using several different methods.

Package: r-cran-bayeslincom
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-bggm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayeslincom_1.3.0-1.ca2004.1_all.deb
Size: 87836
MD5sum: 6959bd2d4648190d8c23679fd6e0a37c
SHA1: d286974c245e6a66cdf5dc1ff3da6911f9c4219e
SHA256: a36d7f218f1ed9107ecc392622eb6225616456be17e2f7fb833f9bac2098083a
SHA512: fcb32526039e671d5fb1c4afa7957805948e2f81b38b887ca8eb6143dad4583fe34a59b00f4473f3153669d809c8b616d51b431b8d58f71f4479f19baa046062
Homepage: https://cran.r-project.org/package=bayeslincom
Description: CRAN Package 'bayeslincom' (Linear Combinations of Bayesian Posterior Samples)
 Computes point estimates, standard deviations, and credible intervals for
 linear combinations of posterior samples. Optionally performs region
 practical equivalence (ROPE) tests as described in Kruschke and Liddell
 (2018) <doi:10.3758/s13423-016-1221-4>.

Package: r-cran-bayeslongitudinal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnbayes, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bayeslongitudinal_0.1.0-1.ca2004.1_all.deb
Size: 52988
MD5sum: 8633d69ad1507cff47db8c22eb5cea64
SHA1: e11019e4d7f11ab3bcd07883d9bf00f1c40dbf9e
SHA256: 332845e32121a6b5988019ee1ce4a11919580c7d1dbf368f2382854ff9dd4fe8
SHA512: 9da1cf2326569e4dcead5d77e4d3fdf0fe9e5a7eb5cc68cb1687bdb4666c43863f393471ba59dfeb77c2bb3ebf720f456743aba7857e3ba382921531d0bdd62c
Homepage: https://cran.r-project.org/package=bayeslongitudinal
Description: CRAN Package 'bayeslongitudinal' (Adjust Longitudinal Regression Models Using Bayesian Methodology)
 Adjusts longitudinal regression models using Bayesian methodology for
 covariance structures of composite symmetry (SC), autoregressive ones of
 order 1 AR (1) and autoregressive moving average of order (1,1) ARMA (1,1).

Package: r-cran-bayesmassbal
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack, r-cran-matrix, r-cran-pracma, r-cran-tmvtnorm, r-cran-laplacesdemon, r-cran-hdinterval, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling, r-cran-tgp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesmassbal_1.1.0-1.ca2004.1_all.deb
Size: 323820
MD5sum: 5207d97e45ecdff3ddb0c0d8b71776d6
SHA1: 8503128d9c3f71e4cc026234d81a580a1a329216
SHA256: 68ccc3746c8ef6c9b1a172082c6fe067b84dcdb161c1a136a5fd5febd478faad
SHA512: dd83c42e01b2d500994c96c959e026465924b1acce80bcc5d56d77035aa4187bd14c926ed61f9d0508cfe992af26985caf5a0761c6d362fadd41a512df80df4d
Homepage: https://cran.r-project.org/package=BayesMassBal
Description: CRAN Package 'BayesMassBal' (Bayesian Data Reconciliation of Separation Processes)
 Bayesian tools that can be used to reconcile, or mass balance, mass flow
 rate data collected from chemical or particulate separation processes aided
 by constraints governed by the conservation of mass.  Functions included in
 the package aid the user in organizing and constraining data, using Markov
 chain Monte Carlo methods to obtain samples from Bayesian models, and in
 computation of the marginal likelihood of the data, given a particular
 model, for model selection.  Marginal likelihood is approximated by methods
 in Chib S (1995) <doi:10.2307/2291521>.

Package: r-cran-bayesmeanscale
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1094
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-data.table, r-cran-magrittr, r-cran-posterior
Suggests: r-cran-flextable, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-rstanarm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesmeanscale_0.2.1-1.ca2004.1_all.deb
Size: 383768
MD5sum: 2505a86d7bb9a07d4f830a9943b8d3bd
SHA1: 9e567ad8e5c1053bd1c94a291db12d71bffc5877
SHA256: 92eb2c12d6d798d6160c496a9b9e8e418088fd0f29f345bcbd121db919259a7f
SHA512: 4118f8f627d5c3d6a66f1de2e186a1337be32961fc3ab4792971c5151915b60abbfd05718fca6ec657a6ef5b8cda8e81cc2691c1cfcab691a22248459e7409bb
Homepage: https://cran.r-project.org/package=bayesMeanScale
Description: CRAN Package 'bayesMeanScale' (Bayesian Post-Estimation on the Mean Scale)
 Computes Bayesian posterior distributions of predictions, marginal effects,
 and differences of marginal effects for various generalized linear models.
 Importantly, the posteriors are on the mean (response) scale, allowing for
 more natural interpretation than summaries on the link scale. Also,
 predictions and marginal effects of the count probabilities for Poisson and
 negative binomial models can be computed.

Package: r-cran-bayesmeta
Architecture: all
Version: 3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-forestplot, r-cran-metafor, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-compute.es, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-bayesmeta_3.4-1.ca2004.1_all.deb
Size: 4239820
MD5sum: 4bf177b6f9dcae803c9fc1ea42644900
SHA1: 6c9db98f366c0bcdce42f3485ab3b027f2aefac9
SHA256: 70d52998232a994c83f607835062f90d883e51cb1283df3e26db340961476560
SHA512: e99595d9a9b30be5bb7f247ed50af97db52e8fd29a9155d010fa3068cdde6d829286b4582fe701071fc56e16d24a3f74433e1e8f8f82427a0103702f0c1ea2d8
Homepage: https://cran.r-project.org/package=bayesmeta
Description: CRAN Package 'bayesmeta' (Bayesian Random-Effects Meta-Analysis and Meta-Regression)
 A collection of functions allowing to derive the posterior distribution of
 the model parameters in random-effects meta-analysis or meta-regression, and
 providing functionality to evaluate joint and marginal posterior probability
 distributions, predictive distributions, shrinkage effects, posterior
 predictive p-values, etc.; For more details, see also Roever C (2020)
 <doi:10.18637/jss.v093.i06>, or Roever C and Friede T (2022)
 <doi:10.1016/j.cmpb.2022.107303>.

Package: r-cran-bayesmig
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-truncnorm, r-cran-wpp2019, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-bayesmig_1.0-0-1.ca2004.1_all.deb
Size: 239400
MD5sum: 1c67a5f3dedf2d94b3f00e5a908f37ea
SHA1: a276282509693f3c3a21d46e23f3b3dd0affc86f
SHA256: bc71686665fdc1f7ebe07a92701e5edaca8afb5686e0b2375b88f816f4452574
SHA512: db55d53644ad61e790f9d02156256885a3fffe8b0db7f9f3b8bff9f185bd04827b39e80555195ed059f66e17ac4e1272e7fa62631ddfaec7eaf39635c5f7c3ae
Homepage: https://cran.r-project.org/package=bayesMig
Description: CRAN Package 'bayesMig' (Bayesian Projection of Migration)
 Producing probabilistic projections of net migration rate for all countries
 of the world or for subnational units using a Bayesian hierarchical model by
 Azose an Raftery (2015) <doi:10.1007/s13524-015-0415-0>.

Package: r-cran-bayesmix
Architecture: all
Version: 0.7-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bayesmix_0.7-6-1.ca2004.1_all.deb
Size: 99032
MD5sum: 83499fe89a306e08cd2b058a61e11bf1
SHA1: b5b24376759d0c1a0debfe06c7eaf5522f81603a
SHA256: 94bd0d7fa7c767de6a6100cc4204de529c91c2a2e9620217f3220d5245584718
SHA512: baddfc5230790057b1728f0ea7f4816abb0eb2ae913706719587c59095187afe0a0c48192a79c58e2f82351e1fc48092020c341d19d694b33716a9ee069f681e
Homepage: https://cran.r-project.org/package=bayesmix
Description: CRAN Package 'bayesmix' (Bayesian Mixture Models with JAGS)
 Fits finite mixture models of univariate Gaussian distributions using JAGS
 within a Bayesian framework.

Package: r-cran-bayesmixsurv
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-bayesmixsurv_0.9.3-1.ca2004.1_all.deb
Size: 96704
MD5sum: 237012db8da9801992c2da19284d163f
SHA1: ffb41b1b8253eaea0620bae5c5c0d49f89f1d78f
SHA256: 577c5a5f8849b0868d5e9be30fb751a471beab7b968a63354824e82d6fa634d6
SHA512: 1db2c51325b03eb84885d5b4723e9d9efa0646d6c43c30bec3e60b82d6bc624b47a5eed3790b511c9c405584e404ecd61fd58432ccc03bb5c60f649147ab6031
Homepage: https://cran.r-project.org/package=BayesMixSurv
Description: CRAN Package 'BayesMixSurv' (Bayesian Mixture Survival Models using AdditiveMixture-of-Weibull Hazards, with Lasso Shrinkage andStratification)
 Bayesian Mixture Survival Models using Additive Mixture-of-Weibull Hazards,
 with Lasso Shrinkage and Stratification. As a Bayesian dynamic survival
 model, it relaxes the proportional-hazard assumption. Lasso shrinkage
 controls overfitting, given the increase in the number of free parameters in
 the model due to presence of two Weibull components in the hazard function.

Package: r-cran-bayesmlogit
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1472
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bayesmlogit_1.0.1-1.ca2004.1_all.deb
Size: 530796
MD5sum: 4ea4861e3dd04f41d9461a7ba7f849c2
SHA1: 450c32d804683e2cf86d4e452cfca55859f80cbf
SHA256: 0e70cadd128c0e3286f65845ca4cc34a1d32d45a071a317a3be3ef9f3a81d838
SHA512: 729d0859f36c3d205fece2eec92ac2c895c4b0d3630c1aad8e0a08cca8a6295ca086c12616e5e2ef808e80925e16e4a91135eea993489c69754c39fccd11725a
Homepage: https://cran.r-project.org/package=bayesmlogit
Description: CRAN Package 'bayesmlogit' (A Multistate Life Table (MSLT) Methodology Based on BayesianApproach)
 Create life tables with a Bayesian approach, which can be very useful for
 modelling a complex health process when considering multiple predisposing
 factors and multiple coexisting health conditions. Details for this method
 can be found in: Lynch, Scott, et al., (2022)
 <doi:10.1177/00811750221112398>; Zang, Emma, et al., (2022)
 <doi:10.1093/geronb/gbab149>.

Package: r-cran-bayesmortalityplus
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-progress, r-cran-tidyr, r-cran-scales, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayesmortalityplus_0.2.4-1.ca2004.1_all.deb
Size: 686492
MD5sum: 35cccca916c48803a0e08723aa51ee6a
SHA1: fc8d154cd9c43108b3aa16344d288c7b623b0acc
SHA256: a0a2716884ef40d6ef28d1c4012df309f5c09975cc78994d655f4e0a8e79fd09
SHA512: 5d2ebc06ba398806ca9b5b9fe7422b09af16baa38779c48568d9e360a30c5965da9ad8cb692cde6160b31336bb323b3ca1f016e097ab498521b2b225d8cd0ef0
Homepage: https://cran.r-project.org/package=BayesMortalityPlus
Description: CRAN Package 'BayesMortalityPlus' (Bayesian Mortality Modelling)
 Fit Bayesian graduation mortality using the Heligman-Pollard model, as seen
 in Heligman, L., & Pollard, J. H. (1980) <doi:10.1017/S0020268100040257> and
 Dellaportas, Petros, et al. (2001) <doi:10.1111/1467-985X.00202>, and
 dynamic linear model (Campagnoli, P., Petris, G., and Petrone, S. (2009)
 <doi:10.1007/b135794_2>). While Heligman-Pollard has parameters with a
 straightforward interpretation yielding some rich analysis, the dynamic
 linear model provides a very flexible adjustment of the mortality curves by
 controlling the discount factor value. Closing methods for both
 Heligman-Pollard and dynamic linear model were also implemented according to
 Dodd, Erengul, et al. (2018) <https://www.jstor.org/stable/48547511>. The
 Bayesian Lee-Carter model is also implemented to fit historical mortality
 tables time series to predict the mortality in the following years and to do
 improvement analysis, as seen in Lee, R. D., & Carter, L. R. (1992)
 <doi:10.1080/01621459.1992.10475265> and Pedroza, C. (2006)
 <doi:10.1093/biostatistics/kxj024>.

Package: r-cran-bayesmrm
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-ggplot2, r-cran-gridextra, r-cran-rgl, r-cran-shiny, r-cran-shinythemes
Filename: pool/dists/focal/main/r-cran-bayesmrm_2.4.0-1.ca2004.1_all.deb
Size: 90292
MD5sum: b9bbc2e71a8d9da9ad67285230d4b648
SHA1: 2a64d8b5dbb95af13735be78f754bc2d13ebe79a
SHA256: adacf0468e2f2188e0b4ee92858fecac7257a1b764c5897cb436b4a815bb4aeb
SHA512: 2534fdaaffab90f35515d9aaa99d01286ac8de06bf7ee3d9ed515b7dd2941ea8d272539e42f3a44969e6afbd235975823981c24b10c65db151170aaf953a1d8e
Homepage: https://cran.r-project.org/package=bayesMRM
Description: CRAN Package 'bayesMRM' (Bayesian Multivariate Receptor Modeling)
 Bayesian analysis of multivariate receptor modeling. The package consists of
 implementations of the methods of Park and Oh (2015)
 <doi:10.1016/j.chemolab.2015.08.021>.The package uses 'JAGS'(Just Another
 Gibbs Sampler) to generate Markov chain Monte Carlo samples of parameters.

Package: r-cran-bayesmsm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-coda, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-mcmcpack, r-cran-r2jags
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesmsm_1.0.0-1.ca2004.1_all.deb
Size: 208344
MD5sum: 9360f415ae5a4d559036170d824beefc
SHA1: a8b02808c23a9657f230be872e3753ed2020afbe
SHA256: f1ff0b952e9c87514888fe7197adaa7b4f93e8a43f4b3311d74a050150f3e1ba
SHA512: 617edd3616ef3930ffd1ec0564b4dce1169bba08f3a2859218dcb25547956ba75e8131ebfaaca73abe0b522154bc75345dad9f2cc0fb8d437b03a6451671e1eb
Homepage: https://cran.r-project.org/package=bayesmsm
Description: CRAN Package 'bayesmsm' (Fitting Bayesian Marginal Structural Models for LongitudinalObservational Data)
 Implements Bayesian marginal structural models for causal effect estimation
 with time-varying treatment and confounding.  It includes an extension to
 handle informative right censoring. The Bayesian importance sampling weights
 are estimated using JAGS. See Saarela (2015) <doi:10.1111/biom.12269> for
 methodological details.

Package: r-cran-bayesmultimode
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6342
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-bayesplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gtools, r-cran-magrittr, r-cran-mcmcglmm, r-cran-mvtnorm, r-cran-posterior, r-cran-sn, r-cran-stringr, r-cran-tidyr, r-cran-rdpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesmultimode_0.7.3-1.ca2004.1_all.deb
Size: 5187748
MD5sum: 3a12138165918ab68f8f5370c518c30e
SHA1: 656d9877a4082976347d29d08d4f6af52cddf5ad
SHA256: 675c3fa3ba4093b088182f24eaa4f0ec41e197e5481be0da2cb4f47ef89f682a
SHA512: 2544475d207f12a555136e5d3e30287d51527c91a5b990d0c328ce959b9df4937f2aff5005b4ea2019f3a6a0228103a31bb5ed7dc6dc6893c3661a7ceca0d308
Homepage: https://cran.r-project.org/package=BayesMultiMode
Description: CRAN Package 'BayesMultiMode' (Bayesian Mode Inference)
 A two-step Bayesian approach for mode inference following Cross,
 Hoogerheide, Labonne and van Dijk (2024)
 <doi:10.1016/j.econlet.2024.111579>).  First, a mixture distribution is
 fitted on the data using a sparse finite mixture (SFM) Markov chain Monte
 Carlo (MCMC) algorithm. The number of mixture components does not have to be
 known; the size of the mixture is estimated endogenously through the SFM
 approach. Second, the modes of the estimated mixture at each MCMC draw are
 retrieved using algorithms specifically tailored for mode detection. These
 estimates are then used to construct posterior probabilities for the number
 of modes, their locations and uncertainties, providing a powerful tool for
 mode inference.

Package: r-cran-bayesmultmeta
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-rdpack
Suggests: r-cran-mvmeta, r-cran-gplots, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesmultmeta_0.1.1-1.ca2004.1_all.deb
Size: 90452
MD5sum: dcbb1cae323a3d0ec097da08f43dc329
SHA1: 524153d9a5fa0185b4fa409e483a778bfbcd6805
SHA256: 0eeaf3be26f903afe944f6ecf87aa1e4792a2575f81fd5f9fa55e3048bfd0ad1
SHA512: 65f7e7a8a4ddf9046e27dc699761232a95425beb0e8ddcf1679cb7f5cf5e150767479b28baae2398c9ed5b19baadef485f6265bd18a62ca483e85da81bd29d70
Homepage: https://cran.r-project.org/package=BayesMultMeta
Description: CRAN Package 'BayesMultMeta' (Bayesian Multivariate Meta-Analysis)
 Objective Bayesian inference procedures for the parameters of the
 multivariate random effects model with application to multivariate
 meta-analysis. The posterior for the model parameters, namely the overall
 mean vector and the between-study covariance matrix, are assessed by
 constructing Markov chains based on the Metropolis-Hastings algorithms as
 developed in Bodnar and Bodnar (2021) (<arXiv:2104.02105>). The
 Metropolis-Hastings algorithm is designed under the assumption of the normal
 distribution and the t-distribution when the Berger and Bernardo reference
 prior and the Jeffreys prior are assigned to the model parameters.
 Convergence properties of the generated Markov chains are investigated by
 the rank plots and the split hat-R estimate based on the rank normalization,
 which are proposed in Vehtari et al. (2021) (<DOI:10.1214/20-BA1221>).

Package: r-cran-bayesnec
Architecture: all
Version: 2.1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-ggplot2, r-cran-formula.tools, r-cran-loo, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-tidyselect, r-cran-evaluate, r-cran-rlang, r-cran-chk
Suggests: r-cran-rstan, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesnec_2.1.3.0-1.ca2004.1_all.deb
Size: 4690072
MD5sum: 617c0b535821ff3893b302b08d360a65
SHA1: 4cb467501223962abf1c5738e0903c06a50efde7
SHA256: 2f675484d0d110079e941aee8b2d65d0f8c7c41e6a5dfb2b633fc569c58e3c2c
SHA512: b551342466b24de9fe323973b5e414191d79c57d6c07faea2792bf3545f5a324e4c61cb07eb4b1bc4a50ac8551f7a16c3732f11ff84a6eeff187fe4f272ad89c
Homepage: https://cran.r-project.org/package=bayesnec
Description: CRAN Package 'bayesnec' (A Bayesian No-Effect- Concentration (NEC) Algorithm)
 Implementation of No-Effect-Concentration estimation that uses 'brms' (see
 Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner
 (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.'
 (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data
 using Bayesian methods for the purpose of estimating 'ECx' values, but more
 particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>),
 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see
 Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this
 package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>.
 This package expands and supersedes an original version implemented in
 'R2jags' (see Su and Yajima
 (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al.
 (2020)<doi:10.5281/ZENODO.3966864>).

Package: r-cran-bayesnetbp
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-rcolorbrewer, r-cran-fields, r-cran-doby, r-bioc-graph, r-cran-bnlearn
Suggests: r-bioc-rgraphviz, r-cran-shiny, r-cran-googlevis, r-cran-cyjshiny, r-cran-qtl, r-cran-qtlnet
Filename: pool/dists/focal/main/r-cran-bayesnetbp_1.6.1-1.ca2004.1_all.deb
Size: 393356
MD5sum: 13ed1a9a3239667d3e38d112e64ec61a
SHA1: dab18f68c86ab5c85da4811d7da5a35eb1bb9f6d
SHA256: 206547ad6e8685e70275b737cd2d0b80843a62cb03a7a82a5adeec80363eb806
SHA512: 934c947ac15f759bbae72abc78545872c5a45f1045dd96fa0fbd727491762d499af45aaef7911b27942a429c1e5eab3a463c810ad8200ab74bc2e00c961e5963
Homepage: https://cran.r-project.org/package=BayesNetBP
Description: CRAN Package 'BayesNetBP' (Bayesian Network Belief Propagation)
 Belief propagation methods in Bayesian Networks to propagate evidence
 through the network. The implementation of these methods are based on the
 article: Cowell, RG (2005). Local Propagation in Conditional Gaussian
 Bayesian Networks <https://www.jmlr.org/papers/v6/cowell05a.html>. For
 details please see Yu et. al. (2020) BayesNetBP: An R Package for
 Probabilistic Reasoning in Bayesian Networks <doi:10.18637/jss.v094.i03>.
 The optional 'cyjShiny' package for running the Shiny app is available at
 <https://github.com/cytoscape/cyjShiny>. Please see the example in the
 documentation of 'runBayesNetApp' function for installing 'cyjShiny' package
 from GitHub.

Package: r-cran-bayesni
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bayesni_0.1-1.ca2004.1_all.deb
Size: 30400
MD5sum: 637dff3fd07181093fda5bbf8d9d4c57
SHA1: 0344275891962e4d3df66951f9bca25440c4d68b
SHA256: a54fe6eb0670ab2892ae1d80c51ec8e839675984686efe397958f9999187fa5f
SHA512: 2d488102d3a6bb3f33c461c1833ba461ba42574d9215fefab4da97fc181b3f3f30924bdb5f9edde4ad6299092164a0f27800e891641b2ab96956761f2e412ddf
Homepage: https://cran.r-project.org/package=BayesNI
Description: CRAN Package 'BayesNI' (BayesNI: Bayesian Testing Procedure for Noninferiority withBinary Endpoints)
 A Bayesian testing procedure for noninferiority trials with binary
 endpoints. The prior is constructed based on Bernstein polynomials with
 options for both informative and non-informative prior. The critical value
 of the test statistic (Bayes factor) is determined by minimizing total
 weighted error (TWE) criteria

Package: r-cran-bayesnsgp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nimble, r-cran-fnn, r-cran-matrix, r-cran-statmatch
Filename: pool/dists/focal/main/r-cran-bayesnsgp_0.1.2-1.ca2004.1_all.deb
Size: 348992
MD5sum: acfbeab40bbd66f3d7fe19e85e17cf84
SHA1: bc8243f4fd5342beb04d6a6f2be7ddae2c0512a6
SHA256: d052246b43fa642c56333e5143a519f52831cc51f5b3ea9ab24d753ebc27484f
SHA512: 7610d315623380d23d40f12bfb402ae9f89e08516e3d221fbb1a4410af541aad43f27e65a8004c441eeef71059912968bb4b0c67496c61429783990ac83f1fc7
Homepage: https://cran.r-project.org/package=BayesNSGP
Description: CRAN Package 'BayesNSGP' (Bayesian Analysis of Non-Stationary Gaussian Process Models)
 Enables off-the-shelf functionality for fully Bayesian, nonstationary
 Gaussian process modeling. The approach to nonstationary modeling involves a
 closed-form, convolution-based covariance function with spatially-varying
 parameters; these parameter processes can be specified either
 deterministically (using covariates or basis functions) or stochastically
 (using approximate Gaussian processes). Stationary Gaussian processes are a
 special case of our methodology, and we furthermore implement approximate
 Gaussian process inference to account for very large spatial data sets
 (Finley, et al (2017) <arXiv:1702.00434v2>). Bayesian inference is carried
 out using Markov chain Monte Carlo methods via the 'nimble' package, and
 posterior prediction for the Gaussian process at unobserved locations is
 provided as a post-processing step.

Package: r-cran-bayesorddesign
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ordinal, r-cran-schoolmath, r-cran-coda, r-cran-gsdesign, r-cran-superdiag, r-cran-ggplot2, r-cran-madness, r-cran-rjmcmc, r-cran-r2jags, r-cran-rjags
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesorddesign_0.1.2-1.ca2004.1_all.deb
Size: 110952
MD5sum: 0e24da3c865541d33afe598ebd035a3c
SHA1: 2a70f49d0e2765bd206cf7331a4a15975c7e24e8
SHA256: ecb31ec353c44db04041eb15459c3cde13c8f9726c90f45d408cd84ad7bac301
SHA512: 1bf148449da08a1d6b4289111cc5ab4eb1564c5626b4549883ebc5e0886bb6056f7f3a7fa1ac76fde3cc24fe010a6a3538390a879104e17aa3c2c247c97a8c5f
Homepage: https://cran.r-project.org/package=BayesOrdDesign
Description: CRAN Package 'BayesOrdDesign' (Bayesian Group Sequential Design for Ordinal Data)
 The proposed group-sequential trial design is based on Bayesian methods for
 ordinal endpoints, including three methods, the proportional-odds-model
 (PO)-based, non-proportional-odds-model (NPO)-based, and PO/NPO
 switch-model-based designs, which makes our proposed methods generic to be
 able to deal with various scenarios.  Richard J. Barker, William A. Link
 (2013) <doi:10.1080/00031305.2013.791644>.  Thomas A. Murray, Ying Yuan,
 Peter F. Thall, Joan H. Elizondo, Wayne L.Hofstetter (2018)
 <doi:10.1111/biom.12842>.  Chengxue Zhong, Haitao Pan, Hongyu Miao (2021)
 <arXiv:2108.06568>.

Package: r-cran-bayespiecehazselect
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayespiecehazselect_1.1.0-1.ca2004.1_all.deb
Size: 87828
MD5sum: 011e747710696fb527635bf7746b0023
SHA1: 518c69bcd91640323ef98ceecf66c98c201f7186
SHA256: 67f2fe59cce41cd1fb37433ad6a2707a1e70ee18e985b3075c6fb56d54a5b98b
SHA512: 0461fc4ce64021499e078f6dbabefbc0bf14bededc321c877aef102625450320cbe712caceaad85311a948bcd0829737b3da2669fd57fb64a664f12ab39536c6
Homepage: https://cran.r-project.org/package=BayesPieceHazSelect
Description: CRAN Package 'BayesPieceHazSelect' (Variable Selection in a Hierarchical Bayesian Model for a HazardFunction)
 Fits a piecewise exponential hazard to survival data using a Hierarchical
 Bayesian model with an Intrinsic Conditional Autoregressive formulation for
 the spatial dependency in the hazard rates for each piece.  This function
 uses Metropolis- Hastings-Green MCMC to allow the number of split points to
 vary and also uses Stochastic Search Variable Selection to determine what
 covariates drive the risk of the event. This function outputs trace plots
 depicting the number of split points in the hazard and the number of
 variables included in the hazard. The function saves all posterior
 quantities to the desired path.

Package: r-cran-bayespiecewiseicar
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bayespiecewiseicar_0.2.1-1.ca2004.1_all.deb
Size: 37960
MD5sum: 354609942c4e7b97f6d75807d0ee4bce
SHA1: 5540ab6509a677d209fcd0b4e365dd90f124f6e2
SHA256: 22250a96e24046546bf1239f22ae18568c36b7cc09f813fc071c61840b51ea08
SHA512: 63ef8f58188af0d7e342e9739a671b0b886364e24da83baad930678d57a3c957d8edc31f92b0793461a0fd97169f8f2bda790a2fdd0d3ac431c4d10be2cf6caf
Homepage: https://cran.r-project.org/package=BayesPiecewiseICAR
Description: CRAN Package 'BayesPiecewiseICAR' (Hierarchical Bayesian Model for a Hazard Function)
 Fits a piecewise exponential hazard to survival data using a Hierarchical
 Bayesian model with an Intrinsic Conditional Autoregressive formulation for
 the spatial dependency in the hazard rates for each piece.  This function
 uses Metropolis- Hastings-Green MCMC to allow the number of split points to
 vary. This function outputs graphics that display the histogram of the
 number of split points and the trace plots of the hierarchical parameters.
 The function outputs a list that contains the posterior samples for the
 number of split points, the location of the split points, and the log hazard
 rates corresponding to these splits. Additionally, this outputs the
 posterior samples of the two hierarchical parameters, Mu and Sigma^2.

Package: r-cran-bayesplay
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1459
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gginnards
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-vdiffr, r-cran-ggplot2, r-cran-patrick
Filename: pool/dists/focal/main/r-cran-bayesplay_0.9.3-1.ca2004.1_all.deb
Size: 897672
MD5sum: 5b40ba61a38fe3703d4d98170908886b
SHA1: ecd8cf24402c586d8131d9f963a0834e7f0be851
SHA256: 472a0a56feb5e3b794d41d44e0d0d005f23291fc1c3d981825f0c8591f2f4a91
SHA512: 8a3bd8d48761e0190a5d90fde82cc73c014d16731f4dafc3d13ad195b221cf2307ebe6845ebd2fdcfc108dcaeccad6df0b1a88a995196b6ab6b1d056419f4dab
Homepage: https://cran.r-project.org/package=bayesplay
Description: CRAN Package 'bayesplay' (The Bayes Factor Playground)
 A lightweight modelling syntax for defining likelihoods and priors and for
 computing Bayes factors for simple one parameter models. It includes
 functionality for computing and plotting priors, likelihoods, and model
 predictions. Additional functionality is included for computing and plotting
 posteriors.

Package: r-cran-bayesplot
Architecture: all
Version: 1.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6705
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-glue, r-cran-posterior, r-cran-reshape2, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-ggfortify, r-cran-gridextra, r-cran-hexbin, r-cran-knitr, r-cran-loo, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rstan, r-cran-rstanarm, r-cran-rstantools, r-cran-scales, r-cran-shinystan, r-cran-survival, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-bayesplot_1.13.0-1.ca2004.1_all.deb
Size: 5386500
MD5sum: e85a114878a7f163cb47897a7368ba7e
SHA1: a1ee83a4e2b591f0a7186fcaab11417b13364cf7
SHA256: 7a7119464a92f34573db6255b9693043b77ab1c3ff37d356740d6763c03d83a9
SHA512: 1b9e35ee7a7c66c75490c25262b7d99672e8e32babd45e478169c867d3ef82dd901783f6d1625e067a5a74e83984e6bdb7769bfe935dac04f255130845e456c1
Homepage: https://cran.r-project.org/package=bayesplot
Description: CRAN Package 'bayesplot' (Plotting for Bayesian Models)
 Plotting functions for posterior analysis, MCMC diagnostics, prior and
 posterior predictive checks, and other visualizations to support the applied
 Bayesian workflow advocated in Gabry, Simpson, Vehtari, Betancourt, and
 Gelman (2019) <doi:10.1111/rssa.12378>.  The package is designed not only to
 provide convenient functionality for users, but also a common set of
 functions that can be easily used by developers working on a variety of R
 packages for Bayesian modeling, particularly (but not exclusively) packages
 interfacing with 'Stan'.

Package: r-cran-bayespm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-extradistr, r-cran-rmutil, r-cran-invgamma
Filename: pool/dists/focal/main/r-cran-bayespm_0.2.0-1.ca2004.1_all.deb
Size: 446992
MD5sum: 596bb7c3a75ba85eac12ce184f283474
SHA1: 32890ebc49fddbd94cfede6098c3a0f6e7d285cb
SHA256: fcecda7a41dea1f81c0901a5d240eaf80f7b41e09c50e2122dae8fa3d2acca0b
SHA512: c832fbf299e2e4a1e1540093668ad7850aa662606aeadfc6baa7a237fb888a9e101325ff37e9afb9a6d8a5d6158158daab8016d5ed8d5d04e423c98e04159fd7
Homepage: https://cran.r-project.org/package=bayespm
Description: CRAN Package 'bayespm' (Bayesian Statistical Process Monitoring)
 The R-package bayespm implements Bayesian Statistical Process Control and
 Monitoring (SPC/M) methodology. These methods utilize available prior
 information and/or historical data, providing efficient online quality
 monitoring of a process, in terms of identifying moderate/large transient
 shifts (i.e., outliers) or persistent shifts of medium/small size in the
 process. These self-starting, sequentially updated tools can also run under
 complete absence of any prior information. The Predictive Control Charts
 (PCC) are introduced for the quality monitoring of data from any discrete or
 continuous distribution that is a member of the regular exponential family.
 The Predictive Ratio CUSUMs (PRC) are introduced for the Binomial, Poisson
 and Normal data (a later version of the library will cover all the remaining
 distributions from the regular exponential family). The PCC targets
 transient process shifts of typically large size (a.k.a. outliers), while
 PRC is focused in detecting persistent (structural) shifts that might be of
 medium or even small size. Apart from monitoring, both PCC and PRC provide
 the sequentially updated posterior inference for the monitored parameter.
 Bourazas K., Kiagias D. and Tsiamyrtzis P. (2022) "Predictive Control Charts
 (PCC): A Bayesian approach in online monitoring of short runs"
 <doi:10.1080/00224065.2021.1916413>, Bourazas K., Sobas F. and Tsiamyrtzis,
 P. 2023. "Predictive ratio CUSUM (PRC): A Bayesian approach in online change
 point detection of short runs" <doi:10.1080/00224065.2022.2161434>, Bourazas
 K., Sobas F. and Tsiamyrtzis, P. 2023. "Design and properties of the
 predictive ratio cusum (PRC) control charts"
 <doi:10.1080/00224065.2022.2161435>.

Package: r-cran-bayespostest
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cardata, r-cran-catools, r-cran-coda, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-reshape2, r-cran-rlang, r-cran-texreg, r-cran-tidyr, r-cran-hdinterval, r-cran-rocr, r-cran-r2jags, r-cran-runjags, r-cran-rstanarm, r-cran-rjags, r-cran-mcmcpack, r-cran-r2winbugs, r-cran-brms
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstan, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bayespostest_0.3.2-1.ca2004.1_all.deb
Size: 1777668
MD5sum: 7a9aed963ca2d51572a6cc68a049ea84
SHA1: e5be4266cc2ca9e3b7c4ffc3f2375ed65c9f2dd5
SHA256: 32ac003710913c6c4affedce1d2b949f2f61ffdf2cb88a769de72a4102e1023e
SHA512: efc0bc851c1a46000251277c114698d240ec70c4fe5aca0ea8ed4e302e15b3a190c907f59b19de7123cfc0eae046d85628bae2e05652c8da6ef87579ee5de02d
Homepage: https://cran.r-project.org/package=BayesPostEst
Description: CRAN Package 'BayesPostEst' (Generate Postestimation Quantities for Bayesian MCMC Estimation)
 An implementation of functions to generate and plot postestimation
 quantities after estimating Bayesian regression models using Markov chain
 Monte Carlo (MCMC). Functionality includes the estimation of the
 Precision-Recall curves (see Beger, 2016 <doi:10.2139/ssrn.2765419>), the
 implementation of the observed values method of calculating predicted
 probabilities by Hanmer and Kalkan (2013)
 <doi:10.1111/j.1540-5907.2012.00602.x>, the implementation of the average
 value method of calculating predicted probabilities (see King, Tomz, and
 Wittenberg, 2000 <doi:10.2307/2669316>), and the generation and plotting of
 first differences to summarize typical effects across covariates (see Long
 1997, ISBN:9780803973749; King, Tomz, and Wittenberg, 2000
 <doi:10.2307/2669316>). This package can be used with MCMC output generated
 by any Bayesian estimation tool including 'JAGS', 'BUGS', 'MCMCpack', and
 'Stan'.

Package: r-cran-bayespref
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-lattice, r-cran-mass, r-cran-mcmcpack, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-bayespref_1.0-1.ca2004.1_all.deb
Size: 70016
MD5sum: 68d59af80001b7913783fdfa52fe5165
SHA1: 9992697aa2a7f9a66156b4ac053bf401825f3d83
SHA256: 0a2a0fbc59198bb7454bf7e184de92454e2f24f100ac510525a071ab5433cd1a
SHA512: 399846a5ed4f6e9441b23cde00c638fadae330fea43ca5d668516c664b9bfc27d7a6882633c7eab4ab849179a21448ee504d9123756adea8faad8238bf3485f8
Homepage: https://cran.r-project.org/package=bayespref
Description: CRAN Package 'bayespref' (Hierarchical Bayesian analysis of ecological count data)
 This program implements a hierarchical Bayesian analysis of count data, such
 as preference experiments. It provides population-level and individual-level
 preference parameter estimates obtained via MCMC. It also allows for model
 comparison using Deviance Information Criterion.

Package: r-cran-bayesrecon
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2706
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-forecast, r-cran-glarma, r-cran-scoringrules, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesrecon_0.3.2-1.ca2004.1_all.deb
Size: 1657096
MD5sum: c24e690f627f933a50b945f78ca1fa54
SHA1: d4743b84f356a932d6bec04b75ac23cc70e6492d
SHA256: e2831c2b1baa28556d1c37f8232140c7ab212d9fc815daa57713978319e0a943
SHA512: 63b69aa7523baf22d1c995fb1a778bb150510878a5f7dedd6769054185bffbbe29b04a6b72625b610d6a750ab741af5f76d312fec574f219e09e54a40ac3c16b
Homepage: https://cran.r-project.org/package=bayesRecon
Description: CRAN Package 'bayesRecon' (Probabilistic Reconciliation via Conditioning)
 Provides methods for probabilistic reconciliation of hierarchical forecasts
 of time series.  The available methods include analytical Gaussian
 reconciliation (Corani et al., 2021) <doi:10.1007/978-3-030-67664-3_13>,
 MCMC reconciliation of count time series (Corani et al., 2024)
 <doi:10.1016/j.ijforecast.2023.04.003>, Bottom-Up Importance Sampling
 (Zambon et al., 2024) <doi:10.1007/s11222-023-10343-y>, methods for the
 reconciliation of mixed hierarchies (Mix-Cond and TD-cond) (Zambon et al.,
 2024. The 40th Conference on Uncertainty in Artificial Intelligence,
 accepted).

Package: r-cran-bayesreg
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pgdraw, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-bayesreg_1.3-1.ca2004.1_all.deb
Size: 311608
MD5sum: 8031fd0c5266bd146f7d84d76b8c3f0c
SHA1: f4fb8a1e5fcc3959c7ce351a09b426b4f451471e
SHA256: 1aae8792932aee392983e59966acc51d1dc7d4211756ba84bf14aa6544a0c639
SHA512: 0db4bcf71288d7ce76abccf6aba3839d927f156bf5a9e81a069dcab55709ab4744be24ec46ac1da1e34f3e9b368251d89b16145abc552830fb2cb37974ff397a
Homepage: https://cran.r-project.org/package=bayesreg
Description: CRAN Package 'bayesreg' (Bayesian Regression Models with Global-Local Shrinkage Priors)
 Fits linear or generalized linear regression models using Bayesian
 global-local shrinkage prior hierarchies as described in Polson and Scott
 (2010) <doi:10.1093/acprof:oso/9780199694587.003.0017>. Provides an
 efficient implementation of ridge, lasso, horseshoe and horseshoe+
 regression with logistic, Gaussian, Laplace, Student-t, Poisson or geometric
 distributed targets using the algorithms summarized in Makalic and Schmidt
 (2016) <doi:10.48550/arXiv.1611.06649>.

Package: r-cran-bayesrep
Architecture: all
Version: 0.42.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lamw, r-cran-hypergeo
Suggests: r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bayesrep_0.42.2-1.ca2004.1_all.deb
Size: 124112
MD5sum: 95a5075a3ea4e1fc5a09b9a0e51b6d44
SHA1: b923ff9c19f28237cda7736181a395723a4e06d6
SHA256: 07a038cfacce58c92610d3c31d2c01e37573b8d8363da01d56296f1b9e2b555d
SHA512: d8e1099b794b41bb053b120ebfc68505782bc5eaedbe143d25121a282868c67c13348536e74e152066e52b9e4f0ade5ef6b05ec35d88ead5dcb5608512ea0368
Homepage: https://cran.r-project.org/package=BayesRep
Description: CRAN Package 'BayesRep' (Bayesian Analysis of Replication Studies)
 Provides tools for the analysis of replication studies using Bayes factors
 (Pawel and Held, 2022) <doi:10.1111/rssb.12491>.

Package: r-cran-bayesrepdesign
Architecture: all
Version: 0.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lamw
Suggests: r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bayesrepdesign_0.42-1.ca2004.1_all.deb
Size: 156092
MD5sum: 1fdd6d6a0625d0e4ab2c43382900c739
SHA1: 4fc898ef1da0e4246ec996a556a4ea2da7644b9b
SHA256: 27de08c8c95710dfc8a39d2aeae905cde6f77170ccfa52b18171dbc4b753699f
SHA512: 3a493f648e085234e7c13cd511610f5db9c109871b45ca69be87d45227b009034b899ff923bcfff085cd6bb3ae117e46fe457b87844c222bc207ba3e5c1e468e
Homepage: https://cran.r-project.org/package=BayesRepDesign
Description: CRAN Package 'BayesRepDesign' (Bayesian Design of Replication Studies)
 Provides functionality for determining the sample size of replication
 studies using Bayesian design approaches in the normal-normal hierarchical
 model (Pawel et al., 2022) <doi:10.48550/arXiv.2211.02552>.

Package: r-cran-bayesroe
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colourpicker, r-cran-config, r-cran-ggplot2, r-cran-golem, r-cran-scales, r-cran-shiny, r-cran-shinybs
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesroe_0.2-1.ca2004.1_all.deb
Size: 75500
MD5sum: 8d8aafe41a81aad92faf0e24e09d6266
SHA1: 10f7a99a577a50c295d2b79dba1e6748e1c3e65a
SHA256: 3c4649d2c88840a230b0625c860c55e9b4c9efc0674b63e4da5a0ff765d03b09
SHA512: cb93a2dd495b3711e9c0803dc0eb3323c0b51ad849f14373f04960bcc2897425e5ba0143960219f851d49c173105fffbaa7497fd329ab97a4475d5f4778ec271
Homepage: https://cran.r-project.org/package=bayesROE
Description: CRAN Package 'bayesROE' (Bayesian Regions of Evidence)
 Computation and visualization of Bayesian Regions of Evidence to
 systematically evaluate the sensitivity of a superiority or non-inferiority
 claim against any prior assumption of its assessors.  Methodological details
 are elaborated by Hoefler and Miller (<https://osf.io/jxnsv>).  Besides
 generic functions, the package also provides an intuitive 'Shiny'
 application, that can be run in local R environments.

Package: r-cran-bayesrs
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-ggplot2, r-cran-metrology, r-cran-reshape, r-cran-coda
Suggests: r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bayesrs_0.1.3-1.ca2004.1_all.deb
Size: 789080
MD5sum: 25512e776db55b9eb0e60b9959444cbf
SHA1: a9f7219452ff3ab7388b7c59a27b5701f53ede15
SHA256: 7a412fa9c2c51d1a2b749a731546d5877aaa107ca5cbb40e57c6e02239279e18
SHA512: fe1d8ad6bae82d19bab5e1795542908bfad5c3f3ef6bf77f0fd26c455adc3d9ae47e39282f326aa6086176589e5258229648b99dd86ccfbe6da0cd93546751f8
Homepage: https://cran.r-project.org/package=BayesRS
Description: CRAN Package 'BayesRS' (Bayes Factors for Hierarchical Linear Models with ContinuousPredictors)
 Runs hierarchical linear Bayesian models. Samples from the posterior
 distributions of model parameters in JAGS (Just Another Gibbs Sampler;
 Plummer, 2017, <http://mcmc-jags.sourceforge.net>). Computes Bayes factors
 for group parameters of interest with the Savage-Dickey density ratio
 (Wetzels, Raaijmakers, Jakab, Wagenmakers, 2009,
 <doi:10.3758/PBR.16.4.752>).

Package: r-cran-bayesrules
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-janitor, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-rstanarm, r-cran-e1071, r-cran-groupdata2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayesrules_0.0.2-1.ca2004.1_all.deb
Size: 2152688
MD5sum: a31972f5c41851ba7923cd41d192d79d
SHA1: 67a8a125ace98dee75f212899ec7559ed6dad76a
SHA256: 235084fba381a5a7f9199546aeff9ae945a7a867b18926f2269a5009fa074ecf
SHA512: 04fb63630789f2bd89329d9492ba8c651466a09b9d32d862d74148c48afc52604727b3d10d98598a2ab3e2ae9fec607a6a62e754eeee0af9ddacebaff92c3a6e
Homepage: https://cran.r-project.org/package=bayesrules
Description: CRAN Package 'bayesrules' (Datasets and Supplemental Functions from Bayes Rules! Book)
 Provides datasets and functions used for analysis and visualizations in the
 Bayes Rules! book (<https://www.bayesrulesbook.com>).  The package contains
 a set of functions that summarize and plot Bayesian models from some
 conjugate families and another set of functions for evaluation of some
 Bayesian models.

Package: r-cran-bayess5
Architecture: all
Version: 1.41-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-snowfall, r-cran-abind, r-cran-splines2
Filename: pool/dists/focal/main/r-cran-bayess5_1.41-1.ca2004.1_all.deb
Size: 158160
MD5sum: 449229446d2976dec297f458f56acbf5
SHA1: 061771526adaa0fdb0740fb055bac978e27bc99b
SHA256: 0fc518c8a909c6f4f735977721b915075ac73bdea9103e1c218853d7225ba21f
SHA512: 37e3b5ba220c12204e231317fd65b5f1c0b3a421e161326252cd8763cfba805aafd7774ded2887ac6454654d60697975ba1c7b2741b65c268ec2ef604681385b
Homepage: https://cran.r-project.org/package=BayesS5
Description: CRAN Package 'BayesS5' (Bayesian Variable Selection Using Simplified Shotgun StochasticSearch with Screening (S5))
 In p >> n settings, full posterior sampling using existing Markov chain
 Monte Carlo (MCMC) algorithms is highly inefficient and often not feasible
 from a practical perspective. To overcome this problem, we propose a
 scalable stochastic search algorithm that is called the Simplified Shotgun
 Stochastic Search (S5) and aimed at rapidly explore interesting regions of
 model space and finding the maximum a posteriori(MAP) model. Also, the S5
 provides an approximation of posterior probability of each model (including
 the marginal inclusion probabilities). This algorithm is a part of an
 article titled "Scalable Bayesian Variable Selection Using Nonlocal Prior
 Densities in Ultrahigh-dimensional Settings" (2018) by Minsuk Shin, Anirban
 Bhattacharya, and Valen E. Johnson and "Nonlocal Functional Priors for
 Nonparametric Hypothesis Testing and High-dimensional Model Selection"
 (2020+) by Minsuk Shin and Anirban Bhattacharya.

Package: r-cran-bayess
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mnormt, r-cran-gplots, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-bayess_1.6-1.ca2004.1_all.deb
Size: 317668
MD5sum: 197843ba36eb44f45bb4c5bbda7cb54f
SHA1: 9a6f270e140c9f70ae8f00a65187dacec0c02004
SHA256: 2ee723496e6811d56574d266f6ce32a7389076aab1b9aba2c9b1e86598e28675
SHA512: ebcf091ba03a466f5c637c11dbc12fc55537fb89dd5c8a90a4939e642a66fddf83b70efb525498668f72d969fc586f2e23621e4827ac56468f87680474a77234
Homepage: https://cran.r-project.org/package=bayess
Description: CRAN Package 'bayess' (Bayesian Essentials with R)
 Allows the reenactment of the R programs used in the book Bayesian
 Essentials with R without further programming.  R code being available as
 well, they can be modified by the user to conduct one's own simulations.
 Marin J.-M. and Robert C. P. (2014) <doi:10.1007/978-1-4614-8687-9>.

Package: r-cran-bayessampling
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 921
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-matrixcalc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-teachingsampling
Filename: pool/dists/focal/main/r-cran-bayessampling_1.1.0-1.ca2004.1_all.deb
Size: 683672
MD5sum: ca8ddb5a2d4c4e0529731c7447a11205
SHA1: 292d1da544b5fca83af7bc475123a74f26916970
SHA256: 202c39515766b742ede598d440ca7de609806d54ed8280c8b26003d71c21fa28
SHA512: 40c233f42a8bb2018d6addcbef36ce8fed287950ba1cf383e4458f797f30c32d79a8e4c40514045e2c4ef1a11fbbb24c51411bff57dd6a410f08399263390f3e
Homepage: https://cran.r-project.org/package=BayesSampling
Description: CRAN Package 'BayesSampling' (Bayes Linear Estimators for Finite Population)
 Allows the user to apply the Bayes Linear approach to finite population with
 the Simple Random Sampling - BLE_SRS() - and the Stratified Simple Random
 Sampling design - BLE_SSRS() - (both without replacement), to the Ratio
 estimator (using auxiliary information) - BLE_Ratio() - and to categorical
 data - BLE_Categorical().  The Bayes linear estimation approach is applied
 to a general linear regression model for finite population prediction in
 BLE_Reg() and it is also possible to achieve the design based estimators
 using vague prior distributions.  Based on Gonçalves, K.C.M, Moura, F.A.S
 and Migon, H.S.(2014)
 <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X201400111886>.

Package: r-cran-bayesspec
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-pscl, r-cran-trust
Filename: pool/dists/focal/main/r-cran-bayesspec_0.5.3-1.ca2004.1_all.deb
Size: 101620
MD5sum: 7210098ee33adacb1ffac9c679742edb
SHA1: c2ac3ca399d0a9813ae9faa8b846a304be45fc85
SHA256: 64f110075f6d7d53dd402dff3cc776bddcb83bd4c0658d2c773257d40008a49e
SHA512: 21f53499680647e5ba11f9adc1e7844189ea2a5efcf8822caf33fcf8a3ff41bbadfe851a9447b2f7df2298be2a6f172a3aa2e82b1e4afd883639278c0949e47e
Homepage: https://cran.r-project.org/package=BayesSpec
Description: CRAN Package 'BayesSpec' (Bayesian Spectral Analysis Techniques)
 An implementation of methods for spectral analysis using the Bayesian
 framework. It includes functions for modelling spectrum as well as
 appropriate plotting and output estimates. There is segmentation capability
 with RJ MCMC (Reversible Jump Markov Chain Monte Carlo). The package takes
 these methods predominantly from the 2012 paper "AdaptSPEC: Adaptive
 Spectral Estimation for Nonstationary Time Series"
 <DOI:10.1080/01621459.2012.716340>.

Package: r-cran-bayesssm
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-tidyr, r-cran-extradistr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-bayesssm_0.5.0-1.ca2004.1_all.deb
Size: 158376
MD5sum: 93c8c479896c5d26c5557781d02ff726
SHA1: 6ae1e9be5622756190c12fffdda307eee6141f7a
SHA256: f19c8a799364bbf7c8bb52e61f87e180e1f04b14865c346bc810df497d10fd69
SHA512: 50bc6a9a45e3e353a1a45f392fb377195161411b5fb4116883bb3a3d580623d7275e34e69d6d9f642ead26ec0561f781e1c8f61a3028b4889fc486ecae77e2ba
Homepage: https://cran.r-project.org/package=bayesSSM
Description: CRAN Package 'bayesSSM' (Bayesian Methods for State Space Models)
 Implements methods for Bayesian analysis of State Space Models.  Includes
 implementations of the Particle Marginal Metropolis-Hastings algorithm
 described in Andrieu et al. (2010) <doi:10.1111/j.1467-9868.2009.00736.x>
 and automatic tuning inspired by Pitt et al. (2012)
 <doi:10.1016/j.jeconom.2012.06.004> and J. Dahlin and T. B. Schön (2019)
 <doi:10.18637/jss.v088.c02>.

Package: r-cran-bayessummarystatlm
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvnfast, r-cran-ff, r-cran-bit
Filename: pool/dists/focal/main/r-cran-bayessummarystatlm_2.0-1.ca2004.1_all.deb
Size: 943620
MD5sum: 3e0de647bd8bd1cbee09fee3003013f5
SHA1: feefd550c4ddb061cbabcb3281651b9d1768af7b
SHA256: c17520cdc193a7839180a879509229a3c3037a3e28aa3b47bbaae98aa6d9b0d9
SHA512: 8c066362371067118d723ffa60f2cf4e7fcb4826e4dd61b7eaa8d4539735d5a27f28e128db7d2103cf46a1f9e3464758acb74cc59da485b613f4252598a18b0e
Homepage: https://cran.r-project.org/package=BayesSummaryStatLM
Description: CRAN Package 'BayesSummaryStatLM' (MCMC Sampling of Bayesian Linear Models via Summary Statistics)
 Methods for generating Markov Chain Monte Carlo (MCMC) posterior samples of
 Bayesian linear regression model parameters that require only summary
 statistics of data as input. Summary statistics are useful for systems with
 very limited amounts of physical memory. The package provides two functions:
 one function that computes summary statistics of data and one function that
 carries out the MCMC posterior sampling for Bayesian linear regression
 models where summary statistics are used as input. The function
 read.regress.data.ff utilizes the R package 'ff' to handle data sets that
 are too large to fit into a user's physical memory, by reading in data in
 chunks. See Miroshnikov, Savel'ev and Conlon (2015) <arXiv:1503.00635>.

Package: r-cran-bayessurvival
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 576
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2
Suggests: r-cran-simsurv, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayessurvival_0.2.0-1.ca2004.1_all.deb
Size: 334996
MD5sum: 6f6901ca269bc8e2e986fb9f47897c17
SHA1: ad08f9b16ea9850330d9c91a5b8b1ddfec5d6f96
SHA256: 11a57d6123b41b5eea02710fff472366b77f05f2a06a0cdfc38347dfe1b68b6d
SHA512: d6cad1684329b6ebb8e0923bb60e39f9764b24d6e01d6933a0c19dae27b9aa483f6cf988cf7313ceeb5e2291200fd3ef39c55f84df9ead51407f5f9ed8fcd864
Homepage: https://cran.r-project.org/package=BayesSurvival
Description: CRAN Package 'BayesSurvival' (Bayesian Survival Analysis for Right Censored Data)
 Performs unadjusted Bayesian survival analysis for right censored
 time-to-event data. The main function, BayesSurv(), computes the posterior
 mean and a credible band for the survival function and for the cumulative
 hazard, as well as the posterior mean for the hazard, starting from a
 piecewise exponential (histogram) prior with Gamma distributed heights that
 are either independent, or have a Markovian dependence structure.  A
 function, PlotBayesSurv(), is provided to easily create plots of the
 posterior means of the hazard, cumulative hazard and survival function, with
 a credible band accompanying the latter two.  The priors and samplers are
 described in more detail in Castillo and Van der Pas (2020) "Multiscale
 Bayesian survival analysis" <arXiv:2005.02889>. In that paper it is also
 shown that the credible bands for the survival function and the cumulative
 hazard can be considered confidence bands (under mild conditions) and thus
 offer reliable uncertainty quantification.

Package: r-cran-bayest
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mcmcpack
Suggests: r-cran-coda, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bayest_1.5-1.ca2004.1_all.deb
Size: 36456
MD5sum: 272c63b983b624a236b841c0b007eb52
SHA1: 62a7b197a05eb6dfd7cba70751a3e8317299c2a1
SHA256: 65761a01a76f74d89de8d6800d24b000e456532ec5f9bd66768ff466f239ddc6
SHA512: f3d07d9beaa0aeb76dbde1cf7d8ef7269162010bb285614c40ff6226e5430c4b820912fdc6b309aa59137d4486e80be6b4b43c0440370bc18c850ae5aa004e74
Homepage: https://cran.r-project.org/package=bayest
Description: CRAN Package 'bayest' (Effect Size Targeted Bayesian Two-Sample t-Tests via MarkovChain Monte Carlo in Gaussian Mixture Models)
 Provides an Markov-Chain-Monte-Carlo algorithm for Bayesian t-tests on the
 effect size. The underlying Gibbs sampler is based on a two-component
 Gaussian mixture and approximates the posterior distributions of the effect
 size, the difference of means and difference of standard deviations. A
 posterior analysis of the effect size via the region of practical
 equivalence is provided, too. For more details about the Gibbs sampler see
 Kelter (2019) <arXiv:1906.07524>.

Package: r-cran-bayestestr
Architecture: all
Version: 0.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1520
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-insight, r-cran-datawizard
Suggests: r-cran-bayesfactor, r-cran-bayesqr, r-cran-bayesplot, r-cran-betareg, r-cran-bh, r-cran-blavaan, r-cran-bridgesampling, r-cran-brms, r-cran-collapse, r-cran-curl, r-cran-effectsize, r-cran-emmeans, r-cran-gamm4, r-cran-ggdist, r-cran-ggplot2, r-cran-glmmtmb, r-cran-httr2, r-cran-kernsmooth, r-cran-knitr, r-cran-lavaan, r-cran-lme4, r-cran-logspline, r-cran-marginaleffects, r-cran-mass, r-cran-mclust, r-cran-mediation, r-cran-modelbased, r-cran-ordbetareg, r-cran-parameters, r-cran-patchwork, r-cran-performance, r-cran-posterior, r-cran-quadprog, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rstan, r-cran-rstanarm, r-cran-see, r-cran-testthat, r-cran-tweedie, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bayestestr_0.16.0-1.ca2004.1_all.deb
Size: 1111144
MD5sum: 87ba69e4689f69e0bb2c92beedef54a1
SHA1: dcdd1ce2bb62fe80df014e49f85d8ad1a1d9eabd
SHA256: f61bb47e034fc590e2d7d8915e03807e4e7076a793dfd27f0261e1b55a2abd4b
SHA512: e255ff651eec58484f01bd5ea61686b9f8a13c3e995c83984ce1472210d288e2477c361ba43575721d80c1c476186c70192464ab708a27b871f4fef9190875d0
Homepage: https://cran.r-project.org/package=bayestestR
Description: CRAN Package 'bayestestR' (Understand and Describe Bayesian Models and PosteriorDistributions)
 Provides utilities to describe posterior distributions and Bayesian models.
 It includes point-estimates such as Maximum A Posteriori (MAP), measures of
 dispersion (Highest Density Interval - HDI; Kruschke, 2015
 <doi:10.1016/C2012-0-00477-2>) and indices used for null-hypothesis testing
 (such as ROPE percentage, pd and Bayes factors). References: Makowski et al.
 (2021) <doi:10.21105/joss.01541>.

Package: r-cran-bayestools
Architecture: all
Version: 0.2.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1655
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-extradistr, r-cran-mvtnorm, r-cran-coda, r-cran-bridgesampling, r-cran-ggplot2, r-cran-rdpack, r-cran-rlang
Suggests: r-cran-scales, r-cran-testthat, r-cran-vdiffr, r-cran-covr, r-cran-knitr, r-cran-rstan, r-cran-rjags, r-cran-runjags, r-cran-bayesfactor, r-cran-robma, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayestools_0.2.19-1.ca2004.1_all.deb
Size: 1275984
MD5sum: 1f8e8ceda9a77aa7a088399e73b0e0ec
SHA1: 9abc7ef103ff5fd48e07b39dadef93a15b17dbf3
SHA256: efe5a8e1bd5472d8bd2df7f090eac36d58ae5e449b200f15877f470b11cbf482
SHA512: 31f5cb0e609aceb3445a9d82b37c8179451c98506bdc2f8285cf47362e91287b56445feae6bf26ce61b364299b221af4255a42e7f2bea44effe58db6dd57b3d5
Homepage: https://cran.r-project.org/package=BayesTools
Description: CRAN Package 'BayesTools' (Tools for Bayesian Analyses)
 Provides tools for conducting Bayesian analyses and Bayesian model averaging
 (Kass and Raftery, 1995, <doi:10.1080/01621459.1995.10476572>, Hoeting et
 al., 1999, <doi:10.1214/ss/1009212519>). The package contains functions for
 creating a wide range of prior distribution objects, mixing posterior
 samples from 'JAGS' and 'Stan' models, plotting posterior distributions, and
 etc...  The tools for working with prior distribution span from
 visualization, generating 'JAGS' and 'bridgesampling' syntax to basic
 functions such as rng, quantile, and distribution functions.

Package: r-cran-bayestreeprior
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tgp, r-cran-bayestree, r-cran-bartmachine, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bayestreeprior_1.0.1-1.ca2004.1_all.deb
Size: 57448
MD5sum: 32046d30e1fb94d936de830c663bee9c
SHA1: b6226aab813d3e9c1cef6f0174be1b5eaf72f7d1
SHA256: 9720f3552f9d0920ce4d61bd557168301db3dc5554dc8aec2b305eeaa5b331a2
SHA512: 4eccf3cbc6220d2be6f2b4ac71002e0d9a05d90ff3b1ede4a094ec68bf7b1a5285ff868f1df8a856399b3b8b6be537d15fcd9a9f0ee94a80c43ef297c353d89c
Homepage: https://cran.r-project.org/package=BayesTreePrior
Description: CRAN Package 'BayesTreePrior' (Bayesian Tree Prior Simulation)
 Provides a way to simulate from the prior distribution of Bayesian trees by
 Chipman et al. (1998) <DOI:10.2307/2669832>. The prior distribution of
 Bayesian trees is highly dependent on the design matrix X, therefore using
 the suggested hyperparameters by Chipman et al. (1998) <DOI:10.2307/2669832>
 is not recommended and could lead to unexpected prior distribution. This
 work is part of my master thesis (expected 2016).

Package: r-cran-bayestwin
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign, r-cran-coda, r-cran-matrixstats, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-bayestwin_1.0-1.ca2004.1_all.deb
Size: 524292
MD5sum: 0b7f6058ec9691071535e3427276e143
SHA1: f2d0d634ead5022b5ac2db0ddb43c60874ad43e1
SHA256: 7f5ff546b6905f3f11f6a5f268f986c812ca5cc81aa2b1b03fa9349f260a25ba
SHA512: df300b6b07ad0d91c432fc12a03f230c513c99e10bad03f20a79645e48cdd648a8b7752c5eb8557208e283090283eea28c6daa6bf38a926524482cd029d90db4
Homepage: https://cran.r-project.org/package=BayesTwin
Description: CRAN Package 'BayesTwin' (Bayesian Analysis of Item-Level Twin Data)
 Bayesian analysis of item-level hierarchical twin data using an integrated
 item response theory model. Analyses are based on Schwabe & van den Berg
 (2014) <doi:10.1007/s10519-014-9649-7>, Molenaar & Dolan (2014)
 <doi:10.1007/s10519-014-9647-9>, Schwabe, Jonker & van den Berg (2016)
 <doi:10.1007/s10519-015-9768-9> and Schwabe, Boomsma & van den Berg (2016)
 <doi:10.1016/j.lindif.2017.01.018>.

Package: r-cran-bayesvl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstan, r-cran-stanheaders, r-cran-coda, r-cran-bnlearn, r-cran-ggplot2, r-cran-bayesplot, r-cran-viridis, r-cran-reshape2
Suggests: r-cran-loo
Filename: pool/dists/focal/main/r-cran-bayesvl_1.0.0-1.ca2004.1_all.deb
Size: 577480
MD5sum: acc21e8ae85d4b3bfaf794f199b2b443
SHA1: 5866e5f3b5a4319919e33663f4c314e77410099d
SHA256: 21ead619fed02d0dc399ebee21a897d40fec70b903a98d7bce0f725b71c4b26a
SHA512: 8a7023d728a797337b63fb5e7fb7c1ff258f23fa6949961052b064742ac279cdd75ba608ea46ead181cf01de604f401e3fed44697026515d8d38d9f2e009881b
Homepage: https://cran.r-project.org/package=bayesvl
Description: CRAN Package 'bayesvl' (Visually Learning the Graphical Structure of Bayesian Networksand Performing MCMC with 'Stan')
 Provides users with its associated functions for pedagogical purposes in
 visually learning Bayesian networks and Markov chain Monte Carlo (MCMC)
 computations. It enables users to: a) Create and examine the (starting)
 graphical structure of Bayesian networks; b) Create random Bayesian networks
 using a dataset with customized constraints; c) Generate Stan code for
 structures of Bayesian networks for sampling the data and learning
 parameters; d) Plot the network graphs; e) Perform Markov chain Monte Carlo
 computations and produce graphs for posteriors checks. The package refers to
 one reference item, which describes the methods and algorithms: Vuong,
 Quan-Hoang and La, Viet-Phuong (2019) <doi:10.31219/osf.io/w5dx6> The
 'bayesvl' R package. Open Science Framework (May 18).

Package: r-cran-bayesx
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3840
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shapefiles, r-cran-sp, r-cran-sf, r-cran-colorspace, r-cran-coda, r-cran-interp
Suggests: r-cran-spdep
Filename: pool/dists/focal/main/r-cran-bayesx_0.3-3-1.ca2004.1_all.deb
Size: 1185164
MD5sum: 89997cef1be7b1bf75b50b925cbd62ab
SHA1: f063fea80e9b2770c8fd8925f3a31e29b44e0545
SHA256: 16ceb203ea5406d525de71afb4facd9f1957b678b3824a95c5c62bcf5bfc5bdd
SHA512: ec8736b47499fea7c43c99a65598c7e5b79a8c54530bbf9a6d03deef89c7fc467719503b52c10d379de2a9d215026c4e2752f7dca3d9e1efb189bc6a23c2d8f6
Homepage: https://cran.r-project.org/package=BayesX
Description: CRAN Package 'BayesX' (R Utilities Accompanying the Software Package BayesX)
 Functions for exploring and visualising estimation results obtained with
 BayesX, a free software for estimating structured additive regression models
 (<https://www.uni-goettingen.de/de/bayesx/550513.html>). In addition,
 functions that allow to read, write and manipulate map objects that are
 required in spatial analyses performed with BayesX.

Package: r-cran-bayfoxr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3063
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bayfoxr_0.0.1-1.ca2004.1_all.deb
Size: 3069856
MD5sum: 707675864c29c5291397d175d1a4b508
SHA1: a2043626e8c88d041728aca6c64a42fc46835248
SHA256: 091ae8b3e395891ba3d3ca57a97a71d015fbdb8e49594dd437ed57ed12bdbf1e
SHA512: 8844b519220f51ed16b3165d532394a8a9795ae608e48e2527e2477114ae007ccae3b3e533f17973e68c37d2a468dcb55533889a851f9a38667334df4b33a490
Homepage: https://cran.r-project.org/package=bayfoxr
Description: CRAN Package 'bayfoxr' (Global Bayesian Foraminifera Core Top Calibration)
 A Bayesian, global planktic foraminifera core top calibration to modern
 sea-surface temperatures. Includes four calibration models, considering
 species-specific calibration parameters and seasonality.

Package: r-cran-bayhaz
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-coda
Filename: pool/dists/focal/main/r-cran-bayhaz_0.1-3-1.ca2004.1_all.deb
Size: 81732
MD5sum: bef6634a0caced2be2ae0a8994f9a259
SHA1: ad70fe01d4296ff4a92ad2665e7485a8503f693d
SHA256: 88e0dfefe7dc9a4df25e7864680d62d04cdedda8faa4f1803004bd64efb5fa55
SHA512: 2299c590b4a7a6710d99c2136d5e83d09566721461a0a32403516317ee26ecf9bf2316229fa7e3ae85e31fdb186be1473c3f516d144e1eb50c12417c039b11a0
Homepage: https://cran.r-project.org/package=BayHaz
Description: CRAN Package 'BayHaz' (R Functions for Bayesian Hazard Rate Estimation)
 A suite of R functions for Bayesian estimation of smooth hazard rates via
 Compound Poisson Process (CPP) and Bayesian Penalized Spline (BPS) priors.

Package: r-cran-baylum
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3431
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-hexbin, r-cran-cli, r-cran-kernsmooth, r-cran-rjags, r-cran-runjags, r-cran-luminescence, r-cran-yaml
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-baylum_0.3.2-1.ca2004.1_all.deb
Size: 1982464
MD5sum: 10f8ea67ec05c02f4f7c7c9d99ebeb2a
SHA1: 0a006a96c4bf1a9c5126947edda9b80f2e744331
SHA256: 9ba169d72a5444b0ce011efae3a40839bbe859e337cb6eb763bf486dbc8e479d
SHA512: 36a6d465c1fe47d87332870cfe695d7a8de9977dafd4614ecb220a7163e725dd1bf6fd2e93f8b822bbb44baddf139cecdad5ef0885bb52900c96ce7726e7d8c1
Homepage: https://cran.r-project.org/package=BayLum
Description: CRAN Package 'BayLum' (Chronological Bayesian Models Integrating Optically StimulatedLuminescence and Radiocarbon Age Dating)
 Bayesian analysis of luminescence data and C-14 age estimates. Bayesian
 models are based on the following publications: Combes, B. & Philippe, A.
 (2017) <doi:10.1016/j.quageo.2017.02.003> and Combes et al. (2015)
 <doi:10.1016/j.quageo.2015.04.001>. This includes, amongst others, data
 import, export, application of age models and palaeodose model.

Package: r-cran-baymedr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-baymedr_0.1.1-1.ca2004.1_all.deb
Size: 190148
MD5sum: 1785b36de3f89dcd9eb6732167517db2
SHA1: bbe33e803bc7915fefb132e177f2e53bbdf5c3f7
SHA256: af4e8900f3de5c355b7a477a2a88275a1d333087ac2eefee4e8600cf9cfe9406
SHA512: 07026e0757dd9bba092f29f4ee328d6842160dc8600754f822982011d57447cac92c7058c839a93cf44068137663e0922ea37b38844edb0d829e3ceaa68cf9be
Homepage: https://cran.r-project.org/package=baymedr
Description: CRAN Package 'baymedr' (Computation of Bayes Factors for Common Biomedical Designs)
 BAYesian inference for MEDical designs in R. Functions for the computation
 of Bayes factors for common biomedical research designs.  Implemented are
 functions to test the equivalence (equiv_bf), non-inferiority (infer_bf),
 and superiority (super_bf) of an experimental group compared to a control
 group on a continuous outcome measure. Bayes factors for these three tests
 can be computed based on raw data (x, y) or summary statistics (n_x, n_y,
 mean_x, mean_y, sd_x, sd_y [or ci_margin and ci_level]).

Package: r-cran-baysic
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1345
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-fields, r-cran-poibin
Filename: pool/dists/focal/main/r-cran-baysic_1.0-1.ca2004.1_all.deb
Size: 1345272
MD5sum: c84f3b80e0f0c24480ab66fecd811df7
SHA1: d28e33e16557995d26a77521c9edb1fbec765354
SHA256: bbc3707219ce5263b995c218afa107ad47439a81f4b0301d312922e29cd9c325
SHA512: 28abc68f36ee2a0d6a8f8dc5d06107bf53ebca35de703a12cff59614d247f6c7cf32b567f3311b242f797d05f12726f7102b21451ee65df7c65eb0d4933cf267
Homepage: https://cran.r-project.org/package=BaySIC
Description: CRAN Package 'BaySIC' (Bayesian Analysis of Significantly Mutated Genes in Cancer)
 This R package is the software implementation of the algorithm BaySIC, a
 Bayesian approach toward analysis of significantly mutated genes in cancer
 data.

Package: r-cran-baystability
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lme4, r-cran-mass, r-cran-rstiefel, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-baystability_0.2.0-1.ca2004.1_all.deb
Size: 89872
MD5sum: 935bbb2a80b3f09949a0017c0151affe
SHA1: f1fda9780ab24a352df5e3fa2026c88c49e65d33
SHA256: e24a4df99aa72447d144aba4f39b8af24827a04e0f752d4bbd082dd7abf0f405
SHA512: 9f27896f56d359aebcada74338f50dd26d1847b1e9fb31ce2aed4883efa095cefd8055e7daaec61f6cf0ab06c6e3547f56b51407f1b4004b828edb873cc55755
Homepage: https://cran.r-project.org/package=baystability
Description: CRAN Package 'baystability' (Bayesian Stability Analysis of Genotype by EnvironmentInteraction (GEI))
 Performs general Bayesian estimation method of linear–bilinear models for
 genotype × environment interaction. The method is explained in
 Perez-Elizalde, S., Jarquin, D., and Crossa, J. (2011)
 (<doi:10.1007/s13253-011-0063-9>).

Package: r-cran-baystar
Architecture: all
Version: 0.2-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm, r-cran-coda
Filename: pool/dists/focal/main/r-cran-baystar_0.2-10-1.ca2004.1_all.deb
Size: 66712
MD5sum: 5897a05891023afde392b80008f94e23
SHA1: 7ac8a4989e1675a44e610a067facedfdd2ec5557
SHA256: bc1fab9326f9f37d2644a0a7bedce99f8ac2318e4cfb4a07f8287fbc9afe3795
SHA512: 271d3a9a0077c86902f7ba5bd51f39d499a536d60e0395de02a7ccec1e9b20ecb7296b5790289955a6693618ac14a12b9761d5626734cb2e5bdfc3b1a3d30de1
Homepage: https://cran.r-project.org/package=BAYSTAR
Description: CRAN Package 'BAYSTAR' (On Bayesian Analysis of Threshold Autoregressive Models)
 Fit two-regime threshold autoregressive (TAR) models by Markov chain Monte
 Carlo methods.

Package: r-cran-baytrends
Architecture: all
Version: 2.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3094
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dataretrieval, r-cran-digest, r-cran-dplyr, r-cran-fitdistrplus, r-cran-lubridate, r-cran-knitr, r-cran-memoise, r-cran-mgcv, r-cran-pander, r-cran-plyr, r-cran-readxl, r-cran-sessioninfo, r-cran-survival
Suggests: r-cran-devtools, r-cran-imputets, r-cran-markdown, r-cran-nlme, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-baytrends_2.0.12-1.ca2004.1_all.deb
Size: 2120880
MD5sum: 75f91fd6fa6c60f2a8e6b914c7b9c072
SHA1: e1dd2a515022ac0d74505f9b3fa8b927945bd162
SHA256: cc9207988f141d40ab8dc28d019f753ddfd031f669d64c1ae524f879de8418c9
SHA512: d6972d79e981f30f6aed1d0ca1164a649dc6df402a77db09d782bf5ca0460432692db3f4edd1e8f33542b5659210c244201bc3902dfccfeeb8f0222c9f7c6f5e
Homepage: https://cran.r-project.org/package=baytrends
Description: CRAN Package 'baytrends' (Long Term Water Quality Trend Analysis)
 Enable users to evaluate long-term trends using a Generalized Additive
 Modeling (GAM) approach. The model development includes selecting a GAM
 structure to describe nonlinear seasonally-varying changes over time,
 incorporation of hydrologic variability via either a river flow or salinity,
 the use of an intervention to deal with method or laboratory changes
 suspected to impact data values, and representation of left- and
 interval-censored data. The approach has been applied to water quality data
 in the Chesapeake Bay, a major estuary on the east coast of the United
 States to provide insights to a range of management- and research-focused
 questions.  Methodology described in Murphy (2019)
 <doi:10.1016/j.envsoft.2019.03.027>.

Package: r-cran-bazar
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kimisc
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bazar_1.0.11-1.ca2004.1_all.deb
Size: 103644
MD5sum: 25200c4ce183d6758b613252196d1062
SHA1: e0be167261e61884b4b2efa92aeacb1e4473531e
SHA256: 2d95dfbdb687d76dc9606c4feafce15f24b46befe1222917703331111e37d9c4
SHA512: 893546eca90eb5019ad2113e061cf34d61d62bee9090fe924a95a5786e6d2fbe9ee1fe33eeed8300034030dda567d9b2b0b9fbca4e39f8e82c4e3b89d56b8b06
Homepage: https://cran.r-project.org/package=bazar
Description: CRAN Package 'bazar' (Miscellaneous Basic Functions)
 A collection of miscellaneous functions for copying objects to the clipboard
 ('Copy'); manipulating strings ('concat', 'mgsub', 'trim', 'verlan');
 loading or showing packages ('library_with_dep', 'require_with_dep',
 'sessionPackages'); creating or testing for named lists ('nlist',
 'as.nlist', 'is.nlist'), formulas ('is.formula'), empty objects ('as.empty',
 'is.empty'), whole numbers ('as.wholenumber', 'is.wholenumber'); testing for
 equality ('almost.equal', 'almost.zero') and computing uniqueness
 ('almost.unique'); getting modified versions of usual functions ('rle2',
 'sumNA'); making a pause or a stop ('pause', 'stopif'); converting into a
 function ('as.fun'); providing a C like ternary operator ('condition %?%
 true %:% false'); finding packages and functions ('get_all_pkgs',
 'get_all_funs'); and others ('erase', '%nin%', 'unwhich', 'top', 'bot',
 'normalize').

Package: r-cran-bb
Architecture: all
Version: 2019.10-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 859
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Suggests: r-cran-setrng, r-cran-survival, r-cran-hmisc, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-bb_2019.10-1-1.ca2004.1_all.deb
Size: 683696
MD5sum: da7cc6103621196c6476a4014c4999b1
SHA1: 0f1d9c1807154ad957fc015b8d402442dc214ec7
SHA256: 7937ed45ffc25f898b0e6926d3a466389b9a30d62164c09a200ab73fcb92edd1
SHA512: b0bb5a00c3597f49fc1020dff239925fb58c4e5bbb70d1d69a3019671d35790f526b9864c50efd640f26721999fcf5c10d9a44c24246116544bc8136f63263cf
Homepage: https://cran.r-project.org/package=BB
Description: CRAN Package 'BB' (Solving and Optimizing Large-Scale Nonlinear Systems)
 Barzilai-Borwein spectral methods for solving nonlinear system of equations,
 and for optimizing nonlinear objective functions subject to simple
 constraints. A tutorial style introduction to this package is available in a
 vignette on the CRAN download page or, when the package is loaded in an R
 session, with vignette("BB").

Package: r-cran-bbcor
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-psych, r-cran-wdm, r-cran-ggplot2, r-cran-rdpack
Suggests: r-cran-bggm
Filename: pool/dists/focal/main/r-cran-bbcor_1.0.3-1.ca2004.1_all.deb
Size: 143656
MD5sum: 544e9296d758b06e45416e99791bc092
SHA1: 1e8c9f3d53ac258fc52293727c6f47251bc51f33
SHA256: a12e609257f878065c23f68813336994a99d53f264b3f463e667870b19e4f837
SHA512: 336a49681cbec0866b259652c099aac6b00b7c302d052d53b4a2a9388c364bd48b8e02a840000daf4ca5ab75370174a51ce6a7a1122ec03b5c9f0f756a1733ee
Homepage: https://cran.r-project.org/package=BBcor
Description: CRAN Package 'BBcor' (Bayesian Bootstrapping Correlations)
 Efficiently draw samples from the posterior distribution of various
 correlation coefficients with the Bayesian bootstrap described in Rubin
 (1981) <doi:10.1214/aos/1176345338>.  There are six correlation
 coefficients, including Pearson, Kendall, Spearman, Gaussian Rank,
 Blomqvist, and polychoric.

Package: r-cran-bbefkr
Architecture: all
Version: 4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bbefkr_4.2-1.ca2004.1_all.deb
Size: 608556
MD5sum: df79be2c3348fa4f9ee32f439b9c87ad
SHA1: d4bacd1d7813cc987015b685b2ef532476722439
SHA256: bdd42964099d425112c44485b4f296517150f7453b7fec293ae2951a4e61c355
SHA512: b31ee418f9ba45fd55eec4a0c0771188c4e1aac9bc236bc62c5c8ef3a74d3734ff6ff08abe438608bf48eed8c7507511ddee14abaa6f978a2117e2ac9215d1e6
Homepage: https://cran.r-project.org/package=bbefkr
Description: CRAN Package 'bbefkr' (Bayesian bandwidth estimation and semi-metric selection for thefunctional kernel regression with unknown error density)
 Estimating optimal bandwidths for the regression mean function approximated
 by the functional Nadaraya-Watson estimator and the error density
 approximated by a kernel density of residuals simultaneously in a
 scalar-on-function regression. As a by-product of Markov chain Monte Carlo,
 the optimal choice of semi-metric is selected based on largest marginal
 likelihood.

Package: r-cran-bbemkr
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bbemkr_2.0-1.ca2004.1_all.deb
Size: 426604
MD5sum: 9d56833ad9a6d293660298fc05f45107
SHA1: 490a1baa84f059e927f77b0410173a03ff9433e9
SHA256: ca0f5aa712fb1d15524937946fe5022a7969a40294f6efb32a2f26751ff14028
SHA512: 8b8325f77737af97300102999adacb705e74b9e8d5011ead676f3652cfc8d9f197bd9a265c665cebfc0058bd43102fdcdbd6246e08dc5438d53b07f3fcd28796
Homepage: https://cran.r-project.org/package=bbemkr
Description: CRAN Package 'bbemkr' (Bayesian bandwidth estimation for multivariate kernel regressionwith Gaussian error)
 Bayesian bandwidth estimation for Nadaraya-Watson type multivariate kernel
 regression with Gaussian error density

Package: r-cran-bbest
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-aws, r-cran-ggplot2, r-cran-reshape2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-bbest_0.1-8-1.ca2004.1_all.deb
Size: 939280
MD5sum: 6ab8e9d05be67f22f15d691d799e935d
SHA1: 979e33d46a50a8d2b657c963d89c99ae1f7b549b
SHA256: 4ff572a8714632c9561fa7e5e34ee6c643dce18d450ecd9fe557ce4d4401f88f
SHA512: 35aace5aedd98c8ac596303d36263755fc58260e4faf2c2ea4f8e68a18a1d1d940584ef4430c5094d1f7db94ae4862c867978d9083467d89a8b034136ade05ba
Homepage: https://cran.r-project.org/package=BBEST
Description: CRAN Package 'BBEST' (Bayesian Estimation of Incoherent Neutron Scattering Backgrounds)
 We implemented a Bayesian-statistics approach for subtraction of incoherent
 scattering from neutron total-scattering data.  In this approach, the
 estimated background signal associated with incoherent scattering maximizes
 the posterior probability, which combines the likelihood of this signal in
 reciprocal and real spaces with the prior that favors smooth lines. The
 description of the corresponding approach could be found at Gagin and Levin
 (2014) <DOI:10.1107/S1600576714023796>.

Package: r-cran-bbi
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1085
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-bbi_0.3.0-1.ca2004.1_all.deb
Size: 174484
MD5sum: 9c2c5acea3fc7c62eb4573ea57e7bb70
SHA1: 3946dddc75b7fb26221d54bd89f9ff5173a539a3
SHA256: 2baf196dd6a32ee87801760bea0b1bfdea99a6d59a9e4305acde30852a6bbcd8
SHA512: 9e758ec22b61ad76113ec855f448577d6c6b8b7548c7cad1dc6c73876d069e59a2018704b3731be1b5d97cda1eed5ce30f4df5a85fb4534c66b8bdeef4499c86
Homepage: https://cran.r-project.org/package=BBI
Description: CRAN Package 'BBI' (Benthic Biotic Indices Calculation from Composition Data)
 Set of functions to calculate Benthic Biotic Indices from composition data,
 obtained whether from morphotaxonomic inventories or sequencing data. Based
 on reference ecological weights publicly available for a set of commonly
 used marine biotic indices, such as AMBI (A Marine Biotic Index, Borja et
 al., 2000) <doi:10.1016/S0025-326X(00)00061-8> NSI (Norwegian Sensitivity
 Index) and ISI (Indicator Species Index) (Rygg 2013,
 <ISBN:978-82-577-6210-0>). It provides the ecological quality status of the
 samples based on each BBI as well as the normalized Ecological Quality
 Ratio.

Package: r-cran-bbk
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-httr2, r-cran-jsonlite, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bbk_0.6.0-1.ca2004.1_all.deb
Size: 203192
MD5sum: 8caeb2a7931bd4a2b4886288c0e0f008
SHA1: 6b9b70cc5e1e711ae1a6815982f1ed078477ddd0
SHA256: aa2f86a2f6f118669cbfae179d91ef9b1435e1cfa867c7e098b1521e2755f696
SHA512: 67405fd8ca4477fe8fc5c395f8f65060493affe15f32f739d3241dd57803a2489764c42654fdf4cf1e69b9744bcc353693bf488626df98c302c080416bc3c2de
Homepage: https://cran.r-project.org/package=bbk
Description: CRAN Package 'bbk' (Client for Central Bank APIs)
 A client for retrieving data and metadata from major central bank APIs. It
 supports access to the 'Bundesbank SDMX Web Service API'
 (<https://www.bundesbank.de/en/statistics/time-series-databases/help-for-sdmx-web-service/web-service-interface-data>),
 the 'Swiss National Bank Data Portal' (<https://data.snb.ch/en>), and the
 'European Central Bank Data Portal API'
 (<https://data.ecb.europa.eu/help/api/overview>).

Package: r-cran-bbmle
Architecture: all
Version: 1.0.25.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1057
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv, r-cran-lattice, r-cran-mass, r-cran-bdsmatrix, r-cran-matrix, r-cran-mvtnorm
Suggests: r-cran-emdbook, r-cran-rms, r-cran-ggplot2, r-cran-runit, r-cran-mumin, r-cran-aiccmodavg, r-cran-hmisc, r-cran-optimx, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bbmle_1.0.25.1-1.ca2004.1_all.deb
Size: 817912
MD5sum: 288e3152528973bdb726f629bc6e5890
SHA1: 2e40c4969efcb7b5bbf5696b925dcfe65d177410
SHA256: f7fc83f369e23d817d1c2bbc5101de1b7386c1bfc24b88f494aa1082c785d69a
SHA512: 515da24f60dbae827631236d96e4953423cc947d8ba89bab23d5fc2975b1d450962a0063be52839d8a39e6119a1deef939b52dda3c416a6b51711897a062694c
Homepage: https://cran.r-project.org/package=bbmle
Description: CRAN Package 'bbmle' (Tools for General Maximum Likelihood Estimation)
 Methods and functions for fitting maximum likelihood models in R. This
 package modifies and extends the 'mle' classes in the 'stats4' package.

Package: r-cran-bbmm
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bbmm_3.0-1.ca2004.1_all.deb
Size: 36556
MD5sum: 8b0e17a30f1bb7ed580ab0daba034ae9
SHA1: 2aec37c3e50fb9000b9a780086f17cb638cbdeb5
SHA256: 784cf2812c08aeb5d503a4c7edf0c2493cc45a8bc81167f44ad00103da253df4
SHA512: e3b5096e6360abf471c1e61eea9b06a3c021b12cd6c5e954a308b734be1be1f9d8fd2263208c821cc2ce77247f50286dcf341df3397a09a8dc5a12a555a2b243
Homepage: https://cran.r-project.org/package=BBMM
Description: CRAN Package 'BBMM' (Brownian bridge movement model)
 The model provides an empirical estimate of a movement path using discrete
 location data obtained at relatively short time intervals.

Package: r-cran-bbmv
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Suggests: r-cran-coda, r-cran-geiger
Filename: pool/dists/focal/main/r-cran-bbmv_2.1-1.ca2004.1_all.deb
Size: 189072
MD5sum: a0bdddfaec748c16b7a9eb3dcb3ecc44
SHA1: 822cfbd2539e167d57c4fc112b1dd4d9f71a5610
SHA256: 63444b48ec719711af155780c3b1024bd8bd8eda7dd80d644f5f3f3d02511c4e
SHA512: acfbaf1e247bee7cb560ac13b71b8fff0433cdad1527a851ba140e4b455610ad5e94606e6ab345562d17972e026183abbf746a2648dd7308b42553805140a590
Homepage: https://cran.r-project.org/package=BBMV
Description: CRAN Package 'BBMV' (Models for Continuous Traits Evolving in MacroevolutionaryLandscapes of any Shape)
 Provides a set of functions to fit general macroevolutionary models for
 continuous traits evolving in adaptive landscapes of any shape. This package
 implements the Fokker-Planck-Kolmogorov model (FPK), in which the trait
 evolves under random diffusion but is also subject to a force that pulls it
 towards specific values - this force can be of any shape. FPK has a version
 in which hard reflective bounds exist at the extremes of the trait interval:
 this second model is called BBMV.

Package: r-cran-bbnet
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 829
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-igraph, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bbnet_1.1.0-1.ca2004.1_all.deb
Size: 627432
MD5sum: 865f7bbe2c8690f5e8d2490af05ad752
SHA1: 5eee765d9685f28455e0bcdb9fcca3c58bdc771a
SHA256: a5e5076e8742680ae5772f11e6dc4a82141b864ecab0ad9a5442ee3e5e4ea8e4
SHA512: 38d30583589b7fe77d74bae04332fe3028aaacfde36029a674be8987e1e81277757c111caef1d5b949a6f9f2833618cb2b5454d9b1124a07e87248b28e75e4cc
Homepage: https://cran.r-project.org/package=bbnet
Description: CRAN Package 'bbnet' (Create Simple Predictive Models on Bayesian Belief Networks)
 A system to build, visualise and evaluate Bayesian belief networks. The
 methods are described in Stafford et al. (2015)
 <doi:10.12688/f1000research.5981.1>.

Package: r-cran-bbo
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bbo_0.2-1.ca2004.1_all.deb
Size: 188616
MD5sum: 78ee4a39f53776d18e5c053e3f9e92cf
SHA1: af347c0eb7851b001bf79378a56719b5d5555da5
SHA256: a859b55b1071791d7e3021108be36dcecd0cd07d30545b883fed77cee0412f86
SHA512: 785c80013a1e908fc6df97a0e00c288670092d5cf4448810211e4f3adb1c4b3a95e91d166b3614cb21774765a416f075e4c7dba84782f74b6bbff72e92683bb7
Homepage: https://cran.r-project.org/package=bbo
Description: CRAN Package 'bbo' (Biogeography-Based Optimization)
 This package provides an R implementation of Biogeography-Based Optimization
 (BBO), originally invented by Prof. Dan Simon, Cleveland State University,
 Ohio. This method is an application of the concept of biogeography, a study
 of the geographical distribution of biological organisms, to optimization
 problems. More information about this method can be found here:
 http://academic.csuohio.edu/simond/bbo/.

Package: r-cran-bbrecapture
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hi, r-cran-locfit, r-cran-lme4, r-cran-secr
Filename: pool/dists/focal/main/r-cran-bbrecapture_0.2-1.ca2004.1_all.deb
Size: 168512
MD5sum: 84506043c178bb40aa2e60e2c2aa244e
SHA1: f6376d74a55055d9abeb37f29ae8160329e08ff1
SHA256: 63a2989ba75405ba55bf30337e7930676fc61aba7424cb7272b0355111de0cd6
SHA512: 11c7da8daecd8bd89d81e0a95433ac8d9697f86369f845221d61652813fb166e6142de98b46e05d3283892026e3db8e21f41eefc0c999ab3b382c833d8a15c5c
Homepage: https://cran.r-project.org/package=BBRecapture
Description: CRAN Package 'BBRecapture' (Bayesian Behavioural Capture-Recapture Models)
 Model fitting of flexible behavioural recapture models based on conditional
 probability reparameterization and meaningful partial capture history
 quantification also referred to as meaningful behavioural covariate.

Package: r-cran-bbreg
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-formula, r-cran-expint, r-cran-statmod
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bbreg_2.0.2-1.ca2004.1_all.deb
Size: 266932
MD5sum: ff2c380bd8bdde32090a1f2975c3194a
SHA1: e100e388b09063cf57cc63de8b38830f4bb07925
SHA256: d9a635b6290512d320ad7ddb7a66f9821dd0ad250810f2d566f64351327d022c
SHA512: 230ca808695182e88b32fe74972beaecf59f1e382034f02e95d0901c2e0371a753ed4f8d1a2c6f2f72a2ef56ef7ab7ee7052dbf1fd62ed141102a3c3e8135b74
Homepage: https://cran.r-project.org/package=bbreg
Description: CRAN Package 'bbreg' (Bessel and Beta Regressions via Expectation-MaximizationAlgorithm for Continuous Bounded Data)
 Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel
 and Beta regressions to a data set with a bounded continuous response
 variable. The Bessel regression is a new and robust approach proposed in the
 literature. The EM version for the well known Beta regression is another
 major contribution of this package. See details in the references
 Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and
 Barreto-Souza, Mayrink and Simas (2020) <arXiv:2003.05157>.

Package: r-cran-bbricks
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3050
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bbricks_0.1.4-1.ca2004.1_all.deb
Size: 2431560
MD5sum: 22c2f66628296d83130e454f0dfcba9b
SHA1: 0003b110e75f2e7775c6c947cadfbe48e7bbef3c
SHA256: 26622c4174b51b0cb124beacf8ff554faafe44f71ca92016eb181a0961fb0982
SHA512: bb8336c6f21bf4869a29b1560690e7e659788ca92d310ef24b4535f7ecb13acc3c73c68c35803c1766ec187745daecd58f19749af287311bd96a181f58192bff
Homepage: https://cran.r-project.org/package=bbricks
Description: CRAN Package 'bbricks' (Bayesian Methods and Graphical Model Structures for StatisticalModeling)
 A set of frequently used Bayesian parametric and nonparametric model
 structures, as well as a set of tools for common analytical tasks.
 Structures include linear Gaussian systems, Gaussian and
 Normal-Inverse-Wishart conjugate structure, Gaussian and
 Normal-Inverse-Gamma conjugate structure, Categorical and Dirichlet
 conjugate structure, Dirichlet Process on positive integers, Dirichlet
 Process in general, Hierarchical Dirichlet Process ... Tasks include
 updating posteriors, sampling from posteriors, calculating marginal
 likelihood, calculating posterior predictive densities, sampling from
 posterior predictive distributions, calculating "Maximum A Posteriori" (MAP)
 estimates ... See <https://chenhaotian.github.io/Bayesian-Bricks/> to get
 started.

Package: r-cran-bbsbayes
Architecture: all
Version: 2.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4031
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-progress, r-cran-jagsui, r-cran-ggrepel, r-cran-geofacet, r-cran-ggplot2, r-cran-stringr, r-cran-dplyr, r-cran-sf, r-cran-rappdirs, r-cran-sbtools, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-bbsbayes_2.5.3-1.ca2004.1_all.deb
Size: 2061916
MD5sum: fd19f637313477aba397b84f84ecf2bf
SHA1: 7106d18e1b5eb8e0cd8719a1d8b8723cafc0da9e
SHA256: 019521aa93be95922b717a5489ed93d22ac89fbebc76a0100db7bd742015f0fd
SHA512: b566ce9c1f499e1512a7c12af8887ebbd6d06c16365d8043b2c01ce12bf71bf0113ce37237792b11a38c349002dc8835bf3c69b70ed85b897b6ef51db78277cf
Homepage: https://cran.r-project.org/package=bbsBayes
Description: CRAN Package 'bbsBayes' (Hierarchical Bayesian Analysis of North American BBS Data)
 The North American Breeding Bird Survey (BBS) is a long-running program that
 seeks to monitor the status and trends of the breeding birds in North
 America. Since its start in 1966, the BBS has accumulated over 50 years of
 data for over 500 species of North American Birds. Given the temporal and
 spatial structure of the data, hierarchical Bayesian models are used to
 assess the status and trends of these 500+ species of birds. 'bbsBayes'
 allows you to perform hierarchical Bayesian analysis of BBS data. You can
 run a full model analysis for one or more species that you choose, or you
 can take more control and specify how the data should be stratified,
 prepared for 'JAGS', or modelled. The functions provided here allow you to
 replicate analyses performed by the United State Geological Survey (USGS,
 see Link and Sauer (2011) <doi:10.1525/auk.2010.09220>) and Canadian
 Wildlife Service (CWS, see Smith and Edwards (2020)
 <doi:10.1101/2020.03.26.010215>).

Package: r-cran-bbssr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1092
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fpcompare
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-exact, r-cran-exact2x2, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-bbssr_1.0.2-1.ca2004.1_all.deb
Size: 757800
MD5sum: 5ec9d96211891d1629e90f12c06d8b8c
SHA1: 2007749b0e301c2e08108cf28b5131eeee94ec91
SHA256: 9f01f62616f63fc7fdb4eb013b10bcc7756cb32ad83987fbc7249f2a50742266
SHA512: 475024eec8c77384e43c639bad57c4c5a930b8bcd1566bafcdcbf24bc36f3983ed3de6579abf229c1e1152ef357f1a38252be9c278ac51b0d0dd393fdff0568d
Homepage: https://cran.r-project.org/package=bbssr
Description: CRAN Package 'bbssr' (Blinded Sample Size Re-Estimation for Binary Endpoints)
 Provides comprehensive tools for blinded sample size re-estimation (BSSR) in
 two-arm clinical trials with binary endpoints. Unlike traditional
 fixed-sample designs, BSSR allows adaptive sample size adjustments during
 trials while maintaining statistical integrity and study blinding.
 Implements five exact statistical tests: Pearson chi-squared, Fisher exact,
 Fisher mid-p, Z-pooled exact unconditional, and Boschloo exact unconditional
 tests. Supports restricted, unrestricted, and weighted BSSR approaches with
 exact Type I error control.  Statistical methods based on Mehrotra et al.
 (2003) <doi:10.1111/1541-0420.00051> and Kieser (2020)
 <doi:10.1007/978-3-030-49528-2_21>.

Package: r-cran-bbw
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-cli, r-cran-doparallel, r-cran-foreach, r-cran-parallelly, r-cran-stringr, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bbw_0.3.0-1.ca2004.1_all.deb
Size: 1253524
MD5sum: a267fb2ce802d3f9c5fc6b3f8287b4ad
SHA1: 42f855395309145cc46cd29713423f55500817a6
SHA256: cc69a3f967b24efd2ea7bab06112a2d829e37cf68e92e2ec6ece4fa905507899
SHA512: 691bc155c0b8478a68fa8edb0b425f31f8befbba9cb2154c4378c9d1bddcf1d11ae65e37700de8a268c13b0b04d6af9886bad832ea110c74ea41db08277cb55c
Homepage: https://cran.r-project.org/package=bbw
Description: CRAN Package 'bbw' (Blocked Weighted Bootstrap)
 The blocked weighted bootstrap (BBW) is an estimation technique for use with
 data from two-stage cluster sampled surveys in which either prior weighting
 (e.g. population-proportional sampling or PPS as used in Standardized
 Monitoring and Assessment of Relief and Transitions or SMART surveys) or
 posterior weighting (e.g. as used in rapid assessment method or RAM and
 simple spatial sampling method or S3M surveys) is implemented. See Cameron
 et al (2008) <doi:10.1162/rest.90.3.414> for application of bootstrap to
 cluster samples. See Aaron et al (2016) <doi:10.1371/journal.pone.0163176>
 and Aaron et al (2016) <doi:10.1371/journal.pone.0162462> for application of
 the blocked weighted bootstrap to estimate indicators from two-stage cluster
 sampled surveys.

Package: r-cran-bc3net
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-c3net, r-cran-infotheo, r-cran-igraph, r-cran-matrix, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-bc3net_1.0.5-1.ca2004.1_all.deb
Size: 150272
MD5sum: 6b263899c48fb989908e7c1ed404e40b
SHA1: 2acdd19fc213c4323d13902333665fa48d7e783c
SHA256: 284514ed2b8864719838d34f5137dd3d58c841006f79afcca0042f4f2163edaa
SHA512: 614bf8fd8f3f1b7bb54908bf63632927e6b7f9f44f2a7f2cbf18312bd56a76d760d73e1fa34e8ed6520a9f8a01b8f389063e86fa52f791ae4c5a00374054562c
Homepage: https://cran.r-project.org/package=bc3net
Description: CRAN Package 'bc3net' (Gene Regulatory Network Inference with Bc3net)
 Implementation of the BC3NET algorithm for gene regulatory network inference
 (de Matos Simoes and Frank Emmert-Streib, Bagging Statistical Network
 Inference from Large-Scale Gene Expression Data, PLoS ONE 7(3): e33624,
 <doi:10.1371/journal.pone.0033624>).

Package: r-cran-bca1sg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-logofgamma
Filename: pool/dists/focal/main/r-cran-bca1sg_0.1.0-1.ca2004.1_all.deb
Size: 72568
MD5sum: 672fd2c71eb508646bd7076b716d2444
SHA1: b3413ad25d9870fc00fdcb84acc721e2fd0b3c86
SHA256: 2bb340320ab7457f0380c18bc73e460ce2b27d79c222b7341e42f2af77c4e7b1
SHA512: ff014cbdf2886394a5ccb71043776f562b7b97a74b1b223efa2914477dbdf192f7c2d49d9abc1649b4f54569fd8d438ae6b6441043050d432ad6389009ad4ed1
Homepage: https://cran.r-project.org/package=BCA1SG
Description: CRAN Package 'BCA1SG' (Block Coordinate Ascent with One-Step Generalized RosenAlgorithm)
 Implementing the Block Coordinate Ascent with One-Step Generalized Rosen
 (BCA1SG) algorithm on the semiparametric models for panel count data,
 interval-censored survival data, and degradation data. A comprehensive
 description of the BCA1SG algorithm can be found in Wang et al. (2020)
 <https://github.com/yudongstat/BCA1SG/blob/master/BCA1SG.pdf>. For details
 of the semiparametric models for panel count data, interval-censored
 survival data, and degradation data, please see Wellner and Zhang (2007)
 <doi:10.1214/009053607000000181>, Huang and Wellner (1997)
 <ISBN:978-0-387-94992-5>, and Wang and Xu (2010)
 <doi:10.1198/TECH.2009.08197>, respectively.

Package: r-cran-bcaboot
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1402
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-glmnet, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bcaboot_0.2-3-1.ca2004.1_all.deb
Size: 749180
MD5sum: 58510e55acfcf47de94d9704ffcb9077
SHA1: 40243ed3a29c82c2c3852c94a8bba31dc90ae584
SHA256: 4a197549fd32b8e469775607148c25e6050bb78f3f89d549b6e598ee13ed8bf7
SHA512: cacae4d69e610b891afc1ae18d3f48fc9b3d9dc3196e5ce17f9b3ba3ea10dd842f34f34848a8f6f8979eb48495dbd813873a0fa08ec0e8095b884b12c4352391
Homepage: https://cran.r-project.org/package=bcaboot
Description: CRAN Package 'bcaboot' (Bias Corrected Bootstrap Confidence Intervals)
 Computation of bootstrap confidence intervals in an almost automatic fashion
 as described in Efron and Narasimhan (2020,
 <doi:10.1080/10618600.2020.1714633>).

Package: r-cran-bcc1997
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bcc1997_0.1.1-1.ca2004.1_all.deb
Size: 16784
MD5sum: ca5de02c764b1869c19ec429bdb74572
SHA1: 4f0a84feb4171e928338e2bc9a3cc0d9d597816e
SHA256: b84d392d7f6c7bcefaeab11700b9094e3d3b553e2126c72a13d49ae0bfd95c1c
SHA512: 6ba3f4564ece7f3998c971faa8f4626c28792be7638e9384a6281c572437d6e10781a8eaa5afedf11c0e0d7cf180b3c1518f088a93867db42a743aadd0458557
Homepage: https://cran.r-project.org/package=BCC1997
Description: CRAN Package 'BCC1997' (Calculation of Option Prices Based on a Universal Solution)
 Calculates the prices of European options based on the universal solution
 provided by Bakshi, Cao and Chen (1997)
 <doi:10.1111/j.1540-6261.1997.tb02749.x>. This solution considers stochastic
 volatility, stochastic interest and random jumps. Please cite their work if
 this package is used.

Package: r-cran-bcc
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bcc_1.5-1.ca2004.1_all.deb
Size: 23348
MD5sum: 570655c898ebb8978761ff6d13f95b5d
SHA1: 1ef9d4e0cbeccb5df070157e622ec4950305b8fc
SHA256: 95327a582492195096ac383298c7012c0072a0395b1c7e237c07722bea9b8374
SHA512: 4a89967d12a6da5cebe7b8c025a70a886ff6c1914537943a4e648922c2f6de10d0671d587154d648cb4c4bb82773fedf6960b4228ae1c26a1f0eeb6f9cee84ce
Homepage: https://cran.r-project.org/package=bcc
Description: CRAN Package 'bcc' (Beta Control Charts)
 Applies Beta Control Charts to defined values. The Beta Chart presents
 control limits based on the Beta probability distribution, making it
 suitable for monitoring fraction data from a Binomial distribution as a
 replacement for p-Charts. The Beta Chart has been applied in three real
 studies and compared with control limits from three different schemes. The
 comparative analysis showed that: (i) the Beta approximation to the Binomial
 distribution is more appropriate for values confined within the [0, 1]
 interval; and (ii) the proposed charts are more sensitive to the average run
 length (ARL) in both in-control and out-of-control process monitoring.
 Overall, the Beta Charts outperform the Shewhart control charts in
 monitoring fraction data. For more details, see Ângelo Márcio Oliveira
 Sant’Anna and Carla Schwengber ten Caten (2012)
 <doi:10.1016/j.eswa.2012.02.146>.

Package: r-cran-bccp
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-bccp_0.5.0-1.ca2004.1_all.deb
Size: 122420
MD5sum: 575d3c216afeaa88cb85e06e030693d7
SHA1: c7bedc5a6a77142f853d10a4b80e8edd353273c9
SHA256: e2049698d7938139579a5413f5411a83646e56f445bb0d64f6815583a56f27d3
SHA512: b2f58bf9c0232f0af2264055b78c0c96d6f4677fbb344a45c777bd5bac3cb7ba5d44150d7a018f139753cfa8ad3cfabafcef136e366821d518056195d33ac938
Homepage: https://cran.r-project.org/package=bccp
Description: CRAN Package 'bccp' (Bias Correction under Censoring Plan)
 Developed for the following tasks. Simulating, computing maximum likelihood
 estimator, computing the Fisher information matrix, computing
 goodness-of-fit measures, and correcting bias of the ML estimator for a wide
 range of distributions fitted to units placed on progressive type-I interval
 censoring and progressive type-II censoring plans.  The methods of Cox and
 Snell (1968) <doi:10.1111/j.2517-6161.1968.tb00724.x> and bootstrap method
 for computing the bias-corrected maximum likelihood estimator.

Package: r-cran-bcd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bcd_0.1.1-1.ca2004.1_all.deb
Size: 415416
MD5sum: 70ae8c865b2b4cdb14685933671fcce7
SHA1: 6d8a5b701c910434517a42e578568bac3e76b767
SHA256: cd57178e8a0179e84cb38e572090492cc7bb8607ee6e899fdfa3fcc218a34898
SHA512: eeb1a00ebece8131487158ea9e2426a58c4ef9f90cb388ae9fe661d3be3cc606cbf455026c7dd46f5766ac7e6e4f31e40e6041f1b0428145e8c32b5e65748861
Homepage: https://cran.r-project.org/package=BCD
Description: CRAN Package 'BCD' (Bivariate Distributions via Conditional Specification)
 Implementation of bivariate binomial, geometric, and Poisson distributions
 based on conditional specifications. The package also includes tools for
 data generation and goodness-of-fit testing for these three distribution
 families. For methodological details, see Ghosh, Marques, and Chakraborty
 (2025) <doi:10.1080/03610926.2024.2315294>, Ghosh, Marques, and Chakraborty
 (2023) <doi:10.1080/03610918.2021.2004419>, and Ghosh, Marques, and
 Chakraborty (2021) <doi:10.1080/02664763.2020.1793307>.

Package: r-cran-bcdag
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-graph, r-cran-grbase, r-bioc-rgraphviz, r-cran-lattice, r-cran-mvtnorm
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bcdag_1.1.3-1.ca2004.1_all.deb
Size: 395868
MD5sum: fc01537f0f16c3de40981c460793f796
SHA1: 5abe52747888fd60689040e1c82f4aa91ce86d40
SHA256: 986da03b43db634a9b81371cd6e28209737b229e9b9afbb5bc612d8c14a99613
SHA512: 4d51f7288bfdfc43c0071c1370e7678afd58ddadf932a8c39b4206203a3e4d1196d6f745a1dfcc4b32f225bcf1b1e55dbf36cbfe1d5c67fc88ddd421cbdd1ef6
Homepage: https://cran.r-project.org/package=BCDAG
Description: CRAN Package 'BCDAG' (Bayesian Structure and Causal Learning of Gaussian DirectedGraphs)
 A collection of functions for structure learning of causal networks and
 estimation of joint causal effects from observational Gaussian data. Main
 algorithm consists of a Markov chain Monte Carlo scheme for posterior
 inference of causal structures, parameters and causal effects between
 variables.  References: F. Castelletti and A. Mascaro (2021)
 <doi:10.1007/s10260-021-00579-1>, F. Castelletti and A. Mascaro (2022)
 <doi:10.48550/arXiv.2201.12003>.

Package: r-cran-bcdata
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dbi, r-cran-crul, r-cran-dbplyr, r-cran-dplyr, r-cran-tibble, r-cran-glue, r-cran-jsonlite, r-cran-leaflet, r-cran-leaflet.extras, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-sf, r-cran-tidyselect, r-cran-xml2
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bcdata_0.5.1-1.ca2004.1_all.deb
Size: 1726512
MD5sum: ed5b128d7f1f30355ce9aa3cd48fff02
SHA1: 9cc06283aa846e1a4b7965bfabac020cfc06e18a
SHA256: 73ccc5103002531cc79d26167821780ff889959f6eb26dd7fa82d52ec7f420c8
SHA512: 9a38fd1aca311d74d799ee990c30d0999ab91ffd2644ee796758b3252f6f20cb1f004de75b5f6b97af96d5acdb0e3fce15b84931545e6144ba1ebb887de27ff8
Homepage: https://cran.r-project.org/package=bcdata
Description: CRAN Package 'bcdata' (Search and Retrieve Data from the BC Data Catalogue)
 Search, query, and download tabular and 'geospatial' data from the British
 Columbia Data Catalogue (<https://catalogue.data.gov.bc.ca/>).  Search
 catalogue data records based on keywords, data licence, sector, data format,
 and B.C.  government organization. View metadata directly in R, download
 many data formats, and query 'geospatial' data available via the B.C.
 government Web Feature Service ('WFS') using 'dplyr' syntax.

Package: r-cran-bcdating
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bcdating_0.9.8-1.ca2004.1_all.deb
Size: 179620
MD5sum: 52307e57b0d3626804e698c5e9cd1f0c
SHA1: d7a95d9bce1cf233efc4b7f2d72d801226d5c50e
SHA256: 75d5b754020438495ce0ea4242b99ff2272231bc778571d5d4866f1fc92c0e7a
SHA512: 1d0eea2f63257a719d86390e952ed93651cce049472644c432ec32ace0ea5ef3a0de78a310d6ccaf9f704de802073f3f37fcf417775725dd605cbb2d5b4b4ff1
Homepage: https://cran.r-project.org/package=BCDating
Description: CRAN Package 'BCDating' (Business Cycle Dating and Plotting Tools)
 Tools for Dating Business Cycles using Harding-Pagan (Quarterly Bry-Boschan)
 method and various plotting features.

Package: r-cran-bcdiag
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 988
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-fabia
Suggests: r-cran-biclust, r-cran-isa2
Filename: pool/dists/focal/main/r-cran-bcdiag_1.0.10-1.ca2004.1_all.deb
Size: 980212
MD5sum: 22b0b02d774135c30fb4a4bbfa3a8f63
SHA1: ffaa6fdb860565cfb5e047dc9b27fc662efc25f7
SHA256: f07dca8f79e584db4690fdf93e0522be0ee4fa20a231816a2b38661ed564f465
SHA512: a8d8c734f742c1dc4139715c8b01a289fea496e2d403abeef4fea01ad6642ccea895785d38da13403782b9b3b292a721adc893aab044c0578024762547303c54
Homepage: https://cran.r-project.org/package=BcDiag
Description: CRAN Package 'BcDiag' (Diagnostics Plots for Bicluster Data)
 Diagnostic tools based on two-way anova and median-polish residual plots for
 Bicluster output obtained from packages; "biclust" by Kaiser et
 al.(2008),"isa2" by Csardi et al. (2010) and "fabia" by Hochreiter et al.
 (2010). Moreover, It provides visualization tools for bicluster output and
 corresponding non-bicluster rows- or columns outcomes.  It has also extended
 the idea of Kaiser et al.(2008) which is, extracting bicluster output in a
 text format, by adding two bicluster methods from the fabia and isa2 R
 packages.

Package: r-cran-bce
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1932
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fme, r-cran-limsolve, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bce_2.2.0-1.ca2004.1_all.deb
Size: 1944212
MD5sum: 19d3141b5aa8f55cc3aa9b5ddb15133c
SHA1: 05a7bfa8dc10642fa9ef2a853d9ad46444476b45
SHA256: 73877e1c2cef6b6f136be626bddcb4f1143681e862a221bff00da8a2c0325222
SHA512: 4934909e60cf411100d98c2f0b9bc5f6e0cad317ab0b157fa70e201d1506a53abb7dea9fdfde204fe1abf87e91c0221d2ee59defefbe8637f1f99db18702b704
Homepage: https://cran.r-project.org/package=BCE
Description: CRAN Package 'BCE' (Bayesian Composition Estimator: Estimating Sample (Taxonomic)Composition from Biomarker Data)
 Function to estimate taxonomic compositions from biomarker data, using a
 Bayesian approach.

Package: r-cran-bcea
Architecture: all
Version: 2.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3891
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-mass, r-cran-matrix, r-cran-mcmcvis, r-cran-purrr, r-cran-rdpack, r-cran-reshape2, r-cran-rlang, r-cran-rstan, r-cran-scales, r-cran-voi
Suggests: r-cran-coda, r-cran-knitr, r-cran-markdown, r-cran-mgcv, r-cran-plotly, r-cran-plotrix, r-cran-rcolorbrewer, r-cran-rjags, r-cran-rmarkdown, r-cran-splancs, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bcea_2.4.7-1.ca2004.1_all.deb
Size: 2580880
MD5sum: 4a35491d22b077609d1913d263870962
SHA1: 6a443754a61d15ae0ff91ca80598a96362449ea8
SHA256: 5d7d7468f5899df6e9f14dc1d9adfb4b942fbf4b2bf3a3fd476fcf2ffc46fc65
SHA512: 19301052c66a26b8de7d677cf86052f1392db556eba79ba91ff3f4291114385e8c7cf3717e02997262d5f0c7dc1928174612cf3f1d9d3d3a1e8ee5ce992946e9
Homepage: https://cran.r-project.org/package=BCEA
Description: CRAN Package 'BCEA' (Bayesian Cost Effectiveness Analysis)
 Produces an economic evaluation of a sample of suitable variables of cost
 and effectiveness / utility for two or more interventions, e.g. from a
 Bayesian model in the form of MCMC simulations.  This package computes the
 most cost-effective alternative and produces graphical summaries and
 probabilistic sensitivity analysis, see Baio et al (2017)
 <doi:10.1007/978-3-319-55718-2>.

Package: r-cran-bcellma
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bcellma_0.3.4-1.ca2004.1_all.deb
Size: 140272
MD5sum: 556030ad005ad50573be1dcbc9a56354
SHA1: 91d462bbf6e222210363639887353e14b4082199
SHA256: eec0f31bcf363ff68a0177048af55555715ee1a7ed4aac954a91c2dd56691390
SHA512: 134c5685e2c27db4866f3c773768e148532a2d4e26a371886844377cd3250d442eef3380d503d22d3bb0f263d11fa1f91696da3a5f87a202087ec8df23fccf15
Homepage: https://cran.r-project.org/package=BCellMA
Description: CRAN Package 'BCellMA' (B Cell Receptor Somatic Hyper Mutation Analysis)
 Includes a set of functions to analyze for instance nucleotide frequencies
 as well as transition and transversion. Can reconstruct germline sequences
 based on the international ImMunoGeneTics information system
 (IMGT/HighV-QUEST) outputs, calculate and plot the difference (%) of
 nucleotides at 6 positions around a mutation to identify and characterize
 hotspot motifs as well as calculate and plot average mutation frequencies of
 nucleotide mutations resulting in amino acid substitution.

Package: r-cran-bcfrailph
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-bcfrailph_0.1.1-1.ca2004.1_all.deb
Size: 301860
MD5sum: 22b58f9c3fda3f3c7fd95d8db23ebd9e
SHA1: 08220daa8587c8e46a7a9400e6cb272a4c53c486
SHA256: 8bbacfef93816d6af7aaf2da0267395e00b7fcd3c7105ca9f11cc115ded44b71
SHA512: ccc43cbc763863f697f52e06d7ac176224f251721ce01e167a2838e19c602d46d2cc2af3316f50344b691ab8ee62f205d90b6eb271eb4e1da25925a740a67876
Homepage: https://cran.r-project.org/package=bcfrailph
Description: CRAN Package 'bcfrailph' (Semiparametric Bivariate Correlated Frailty Models Fit)
 Fit and simulate a semiparametric bivariate correlated frailty models with
 proportional hazard structure. Frailty distributions, such as gamma and
 lognormal models are supported. Bivariate gamma fit is obtained using the
 approach given in Iachine (1995) and lognormal fit is based on the approach
 by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>.

Package: r-cran-bcfrailphdv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-bcfrailph
Filename: pool/dists/focal/main/r-cran-bcfrailphdv_0.1.1-1.ca2004.1_all.deb
Size: 468188
MD5sum: b0ca2d5f10028005d3bbca7d20a43dd4
SHA1: 0a88a170ec29ba35bdd9fcaca0b78b80d197b695
SHA256: ed3519c684b38e1b5eac83bb4bbfbb4002009c345cd43e151108c100a5f303fa
SHA512: 58aef1bceee5daad150e96933d711c76f8a036acc0881a7e51a8cd733c266904bb2d1fb1af088c499dbcef0e74fb985448436e0a4bf26705cce66e7d1f328531
Homepage: https://cran.r-project.org/package=bcfrailphdv
Description: CRAN Package 'bcfrailphdv' (Bivariate Correlated Frailty Models with Varied Variances)
 Fit and simulate bivariate correlated frailty models with proportional
 hazard structure. Frailty distributions, such as gamma and lognormal models
 are supported for semiparametric procedures. Frailty variances of the two
 subjects can be varied or equal. Details on the models are available in book
 of Wienke (2011,ISBN:978-1-4200-7388-1). Bivariate gamma fit is obtained
 using the approach given in Iachine (1995) with modifications. Lognormal fit
 is based on the approach by Ripatti and Palmgren (2000)
 <doi:10.1111/j.0006-341X.2000.01016.x>. Frailty distributions, such as
 gamma, inverse gaussian and power variance frailty models are supported for
 parametric approach.

Package: r-cran-bcgee
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-gee
Filename: pool/dists/focal/main/r-cran-bcgee_0.1.1-1.ca2004.1_all.deb
Size: 41408
MD5sum: 37a332f7f5126829a5078a27602ee9f7
SHA1: b2f8fb25bf3b86e160520251896f3e27d5639d95
SHA256: 2339999245d03566823eb5342efff31ce5435b6f03bdbc7d918ff4e317f7559f
SHA512: c46df70b8b19b9f2f52918a7a4982e166fb4b02aad3611d6d55d16bc37d63a14946f80051d917a291c9bf4767e2c6efda4d6f44a6362c436ee46082cd7da2007
Homepage: https://cran.r-project.org/package=BCgee
Description: CRAN Package 'BCgee' (Bias-Corrected Estimates for Generalized Linear Models forDependent Data)
 Provides bias-corrected estimates for the regression coefficients of a
 marginal model estimated with generalized estimating equations. Details
 about the bias formula used are in Lunardon, N., Scharfstein, D. (2017)
 <doi:10.1002/sim.7366>.

Package: r-cran-bchm
Architecture: all
Version: 1.00-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 781
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-cluster, r-cran-coda, r-cran-knitr, r-cran-crayon, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bchm_1.00-1.ca2004.1_all.deb
Size: 291860
MD5sum: 33b42da2a2199ffad65cf670ab7e7cbc
SHA1: 92318c247345d56751510a96a575d1def358f5b6
SHA256: 7b4f2842a4a1f498497a5c29525c79e0ec841d7d7dabfb5646b17e81a7dbcad5
SHA512: f194a95a8c9fce7747227c5a33d27dbde85c0928170bfa63e2a2e4bc7d3870a63bcb53ddf8d9ca14e50757f66f4e626e3d2fce14a9150ff06b00feff054d576c
Homepage: https://cran.r-project.org/package=BCHM
Description: CRAN Package 'BCHM' (Clinical Trial Calculation Based on BCHM Design)
 Users can estimate the treatment effect for multiple subgroups basket trials
 based on the Bayesian Cluster Hierarchical Model (BCHM). In this model, a
 Bayesian non-parametric method is applied to dynamically calculate the
 number of clusters by conducting the multiple cluster classification based
 on subgroup outcomes. Hierarchical model is used to compute the posterior
 probability of treatment effect with the borrowing strength determined by
 the Bayesian non-parametric clustering and the similarities between
 subgroups. To use this package, 'JAGS' software and 'rjags' package are
 required, and users need to pre-install them.

Package: r-cran-bcmaps
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3782
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-bcdata, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-progress, r-cran-rappdirs, r-cran-xml2
Suggests: r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-glue, r-cran-knitr, r-cran-lwgeom, r-cran-raster, r-cran-rmarkdown, r-cran-sp, r-cran-stars, r-cran-terra, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bcmaps_2.2.1-1.ca2004.1_all.deb
Size: 3102396
MD5sum: 3c29373e5539925ec23853118df0b91e
SHA1: 71bad24cebf29e5750ca930041ddee7612587920
SHA256: 33f5b8305d9f7bb3fd54f644677aa86e276189ce3b39a4343739a014b5903695
SHA512: 3c90f9ced7c4b524fed62638277ff745917e20a3591e8d1ee3b3e56fada2cae7d6520accc64747d82260f8075aa338cbdd4506a6cc548ba0abfcc1c16b3196c1
Homepage: https://cran.r-project.org/package=bcmaps
Description: CRAN Package 'bcmaps' (Map Layers and Spatial Utilities for British Columbia)
 Various layers of B.C., including administrative boundaries, natural
 resource management boundaries, census boundaries etc. All layers are
 available in BC Albers (<https://spatialreference.org/ref/epsg/3005/>)
 equal-area projection, which is the B.C. government standard. The layers are
 sourced from the British Columbia and Canadian government under open
 licenses, including B.C. Data Catalogue (<https://data.gov.bc.ca>), the
 Government of Canada Open Data Portal
 (<https://open.canada.ca/en/using-open-data>), and Statistics Canada
 (<https://www.statcan.gc.ca/en/reference/licence>).

Package: r-cran-bcmixed
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-nlme
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bcmixed_0.1.5-1.ca2004.1_all.deb
Size: 148656
MD5sum: 32193ff6ae0cce795398ca46fc206c00
SHA1: 5a43837f9f5d4b7c54c57c85b780bccf72d4ac38
SHA256: e62c4360f0c11011841d4cbf5a77c11a3fd35b52a95698a8808fb0d39e57c6c3
SHA512: b3a934a2e2fc919ff445bbcec64cef0effdd2f15139b43450bb4fc669ca2a54dcfdaf468acfb71ac297b9b7264dabca7ca77127e06ad9f2a9e3ceb146cb5f52a
Homepage: https://cran.r-project.org/package=bcmixed
Description: CRAN Package 'bcmixed' (Mixed Effect Model with the Box-Cox Transformation)
 Inference on the marginal model of the mixed effect model with the Box-Cox
 transformation and on the model median differences between treatment groups
 for longitudinal randomized clinical trials. These statistical methods are
 proposed by Maruo et al. (2017) <doi:10.1002/sim.7279>.

Package: r-cran-bcpmeta
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bcpmeta_1.0-1.ca2004.1_all.deb
Size: 87628
MD5sum: 1cdbd7e335d46a79b45a91aa167cb8af
SHA1: a58138dfa8bba7511a4e3d4b0653d62463f731ca
SHA256: b0639f503e712199ae687e5ffa8082c4f25d9b3470024aafef934dbca8972748
SHA512: c67182ea7a9edf7c8a626ab01e5d745e551fd56713ae35787124080a0b0da11b38c121cde5160904c227f14e09ac24cb0ee09555147aae670fa202f664bced73
Homepage: https://cran.r-project.org/package=bcpmeta
Description: CRAN Package 'bcpmeta' (Bayesian Multiple Changepoint Detection Using Metadata)
 A Bayesian approach to detect mean shifts in AR(1) time series while
 accommodating metadata (if available). In addition, a linear trend component
 is allowed.

Package: r-cran-bcputility
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-sf
Suggests: r-cran-blob
Filename: pool/dists/focal/main/r-cran-bcputility_0.4.3-1.ca2004.1_all.deb
Size: 273444
MD5sum: 1b9b5b54fd20db8c36d0069f1f2d9287
SHA1: 1f03d296ea78a9f904e9ca7022a8b0469df0e411
SHA256: 589df471be3360174366e3eb4e3a51f316f7967807ed78e5acff579ba93e0982
SHA512: 2d96e2de15965c4040a1d885b208ac02faecfc7ebd9be0e2a0a57f1689917a630053fd4a54dab13238903fdbb41fbb28611c5f10e33370117efac69377733063
Homepage: https://cran.r-project.org/package=bcputility
Description: CRAN Package 'bcputility' (Wrapper for SQL Server bcp Utility)
 Provides functions to utilize a command line utility that does bulk inserts
 and exports from SQL Server databases.

Package: r-cran-bcra
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bcra_2.1.2-1.ca2004.1_all.deb
Size: 84800
MD5sum: b17a972eef1422c71809f2af4640183e
SHA1: a5c0236af670b78291ee2194218ccdc039a81633
SHA256: 0cd966a392ae37676b99631238c2c38a8dc46da906b347ee36d25d1b04c447ca
SHA512: 226d4731a40429f18ad24487d7b38205d06c136f8f22f4b6ebffb3e0c779ee5fe7add32ee63488528a2d42db4379a8bf0dcc7d8d3250f73997226e4b02626642
Homepage: https://cran.r-project.org/package=BCRA
Description: CRAN Package 'BCRA' (Breast Cancer Risk Assessment)
 Functions provide risk projections of invasive breast cancer based on Gail
 model according to National Cancer Institute's Breast Cancer Risk Assessment
 Tool algorithm for specified race/ethnic groups and age intervals.  Gail MH,
 Brinton LA, et al (1989) <doi:10.1093/jnci/81.24.1879>.  Marthew PB, Gail
 MH, et al (2016) <doi:10.1093/jnci/djw215>.

Package: r-cran-bcrm
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-rlang, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-brugs, r-cran-r2winbugs, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-bcrm_0.5.4-1.ca2004.1_all.deb
Size: 218800
MD5sum: f242a1c327b50369dc4ebe06da2f0100
SHA1: e6bf7c4169481d61239788c83907d11ccca0f28c
SHA256: 02898378b82c283f62472a8c3538580837d1d28a7e2e7c363c01fb414bf1457c
SHA512: 306484ad4964c66779a5acce6c1ec18dacfd1c3333ff253652d541d0022c5fc7027e4034764faa8066f62677edb09ed78495c84d56ebdea6b9f661f8a5f36735
Homepage: https://cran.r-project.org/package=bcrm
Description: CRAN Package 'bcrm' (Bayesian Continual Reassessment Method for Phase IDose-Escalation Trials)
 Implements a wide variety of one- and two-parameter Bayesian CRM designs.
 The program can run interactively, allowing the user to enter outcomes after
 each cohort has been recruited, or via simulation to assess operating
 characteristics. See Sweeting et al. (2013): <doi:10.18637/jss.v054.i13>.

Package: r-cran-bdalgo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-inflection
Filename: pool/dists/focal/main/r-cran-bdalgo_0.1.0-1.ca2004.1_all.deb
Size: 43144
MD5sum: 3ddf0b78129afbc17017c6922bd1637a
SHA1: 3d2c83091e16d83349f786e49501f644465c0ec7
SHA256: c5ddf171aec0b4e53ee4648feb3e89db0302309e7e5ad2be72c40fbbf28e159c
SHA512: a01dfce6731ef51b4af10b095256b51952f00d085f80ebca7c688b90e6a80961b71f816505899a0c011d631c64a2b86d205582631399fefc25a42b2c4ad74841
Homepage: https://cran.r-project.org/package=BDAlgo
Description: CRAN Package 'BDAlgo' (Bloom Detecting Algorithm)
 The Bloom Detecting Algorithm enables the detection of blooms within a time
 series of species abundance and extracts 22 phenological variables. For
 details, see Karasiewicz et al. (2022) <doi:10.3390/jmse10020174>.

Package: r-cran-bdc
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1563
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coordinatecleaner, r-cran-doparallel, r-cran-dplyr, r-cran-dt, r-cran-foreach, r-cran-fs, r-cran-ggplot2, r-cran-here, r-cran-magrittr, r-cran-purrr, r-cran-qs, r-cran-readr, r-cran-rgnparser, r-cran-rnaturalearth, r-cran-sf, r-cran-stringdist, r-cran-stringi, r-cran-stringr, r-cran-taxadb, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-contentid, r-cran-covr, r-cran-cowplot, r-cran-dbi, r-cran-duckdb, r-cran-knitr, r-cran-maps, r-cran-markdown, r-cran-rappdirs, r-cran-raster, r-cran-remotes, r-cran-rlang, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-sp, r-cran-rvest, r-cran-xml2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bdc_1.1.5-1.ca2004.1_all.deb
Size: 715724
MD5sum: ea313216436dd6e199febe99a55b0a2e
SHA1: df925acff3dddc45a3357ff883c4141189de39a8
SHA256: 7d7ec723075e8b485bc9125bbf97f896d1ccb1b11ed25a4341d5cbbade25ee14
SHA512: 316ddff1fc1f06a272b54b1e84b8e08916e9ead8150349ff972c6acbd031262f006d7648bdcd7236bc642cd75ad8d40798882d66e535a321469dbf96a3f89304
Homepage: https://cran.r-project.org/package=bdc
Description: CRAN Package 'bdc' (Biodiversity Data Cleaning)
 It brings together several aspects of biodiversity data-cleaning in one
 place. 'bdc' is organized in thematic modules related to different
 biodiversity dimensions, including 1) Merge datasets: standardization and
 integration of different datasets; 2) Pre-filter: flagging and removal of
 invalid or non-interpretable information, followed by data amendments; 3)
 Taxonomy: cleaning, parsing, and harmonization of scientific names from
 several taxonomic groups against taxonomic databases locally stored through
 the application of exact and partial matching algorithms; 4) Space: flagging
 of erroneous, suspect, and low-precision geographic coordinates; and 5)
 Time: flagging and, whenever possible, correction of inconsistent collection
 date. In addition, it contains features to visualize, document, and report
 data quality – which is essential for making data quality assessment
 transparent and reproducible. The reference for the methodology is Bruno et
 al. (2022) <doi:10.1111/2041-210X.13868>.

Package: r-cran-bdchecks
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bddwc, r-cran-dt, r-cran-data.table, r-cran-finch, r-cran-knitr, r-cran-rgbif, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyjs, r-cran-spocc, r-cran-yaml
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bdchecks_0.1.7-1.ca2004.1_all.deb
Size: 724304
MD5sum: c580dc3054a464f95a977a472dd3a396
SHA1: 526afbbb6ffecc3304250d81d78a0b088eaaee0a
SHA256: f98901d5f15cd985a35f3542c7704c67726ff37eb4b41c5f62f41c00dfdc63f3
SHA512: e6a82df24e126e62c512ef3571eb441d4a824855efe557b8b5c6eb9b3ddbda710d244384b11b7955751582679f7c21fd28ea5ded98977861fc0fea346e5a8369
Homepage: https://cran.r-project.org/package=bdchecks
Description: CRAN Package 'bdchecks' (Biodiversity Data Checks)
 Supplies a Shiny app and a set of functions to perform and managing data
 checks for biodiversity data.

Package: r-cran-bdclean
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 863
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-knitr, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-leaflet, r-cran-dt, r-cran-data.table, r-cran-rgbif, r-cran-spocc, r-cran-finch, r-cran-bddwc, r-cran-bdchecks
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bdclean_0.1.15-1.ca2004.1_all.deb
Size: 745164
MD5sum: 280f0ade873747c61fb55c62ef7c2582
SHA1: 2e96af73434be4678fe75aee869e00a6c5866249
SHA256: c3f8433f114900150131b26bdd1f8e2e97c6315824e2cdfcd27e1a88fa54eb0b
SHA512: 78573d0d4fe949bbf465914dc491cbb315e9cb9f9a447657f646ee273f9722d41cdb5f2d2cd87deb084cbe426bc166f57f60558c7d51b0cff801cbf9eb6978ec
Homepage: https://cran.r-project.org/package=bdclean
Description: CRAN Package 'bdclean' (A User-Friendly Biodiversity Data Cleaning App for theInexperienced R User)
 Provides features to manage the complete workflow for biodiversity data
 cleaning. Uploading data, gathering input from users (in order to adjust
 cleaning procedures), cleaning data and finally, generating various reports
 and several versions of the data. Facilitates user-level data cleaning,
 designed for the inexperienced R user. T Gueta et al (2018)
 <doi:10.3897/biss.2.25564>. T Gueta et al (2017)
 <doi:10.3897/tdwgproceedings.1.20311>.

Package: r-cran-bddwc
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinyfiles
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bddwc_0.1.15-1.ca2004.1_all.deb
Size: 355788
MD5sum: d365785f83dc03d2ab6ef316b43fa74d
SHA1: 79b0ba3aebb6455f16eddb6e12ebaf944b4ea6bb
SHA256: d3b4461d2515f955d4534046de4fa0726e904bed0b5284dde1bfeb391f511937
SHA512: 1e2f614a155c0137aa6f929bad72f7104d3f113584ed9638520ce5e7287e1cf311dc9f29d5391b7407f8b67da7f5e1c366b8b6be1cacc20aba7dcda8c4d15eb5
Homepage: https://cran.r-project.org/package=bdDwC
Description: CRAN Package 'bdDwC' (Darwinizer: Darwin Core (DwC) Field Names Standardization)
 The 'shiny' application 'bdDwC' makes biodiversity data field names Darwin
 Core compatible.

Package: r-cran-bde
Architecture: all
Version: 1.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1508
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bde_1.0.1.1-1.ca2004.1_all.deb
Size: 835904
MD5sum: f3dd48b4812a31f1168d0b3fc6c8063d
SHA1: 4eed7428c8b7a71d020405f6beb7f4c687904cc7
SHA256: b25f4d70d7c2c57fd2c9117f8e77711c01a467bf21cc63a7573cd949213775f6
SHA512: 45e283d810fc912c9c0f0e5cc84bda6a22fb54e5ff1f0c3962d1044d5e54f2fcb9d4532ec20ddd44766b958c882b837af1f72b2927d0b0cc1e268620530eaaff
Homepage: https://cran.r-project.org/package=bde
Description: CRAN Package 'bde' (Bounded Density Estimation)
 A collection of S4 classes which implements different methods to estimate
 and deal with densities in bounded domains. That is, densities defined
 within the interval [lower.limit, upper.limit], where lower.limit and
 upper.limit are values that can be set by the user.

Package: r-cran-bdesize
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fpow, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bdesize_1.6-1.ca2004.1_all.deb
Size: 109460
MD5sum: 13481a8222f3e7d727ad0d6e76ab66b2
SHA1: 54d200a8779952495814ee616ad39f29a4408393
SHA256: 817bda980c67408d4c9bb71b670123a3232938bc802f0b0ea7cae300fafcebdf
SHA512: 84227f3543e1802cfe09d7f3762e8ee6eed829bd4a472586c2dfb61f6a0658bfa0ffad7df47eaf2eda8ef2eb9be5a2588ed21d49b9138dc74f2a20aa2c60b1a9
Homepage: https://cran.r-project.org/package=BDEsize
Description: CRAN Package 'BDEsize' (Efficient Determination of Sample Size in Balanced Design ofExperiments)
 For a balanced design of experiments, this package calculates the sample
 size required to detect a certain standardized effect size, under a
 significance level. This package also provides three graphs; detectable
 standardized effect size vs power, sample size vs detectable standardized
 effect size, and sample size vs power, which show the mutual relationship
 between the sample size, power and the detectable standardized effect size.
 The detailed procedure is described in R. V. Lenth (2006-9)
 <https://homepage.divms.uiowa.edu/~rlenth/Power/>, Y. B. Lim (1998), M. A.
 Kastenbaum, D. G. Hoel and K. O. Bowman (1970) <doi:10.2307/2334851>, and
 Douglas C. Montgomery (2013, ISBN: 0849323312).

Package: r-cran-bdl
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-tibble, r-cran-jsonlite, r-cran-httr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-randomcolor, r-cran-purrr, r-cran-sf, r-cran-tmaptools, r-cran-tmap, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bdl_1.0.5-1.ca2004.1_all.deb
Size: 159984
MD5sum: cddbb29c140f5f9cdb596d08388ec2e0
SHA1: 04b4ecd9a8de570eecf04bd157215ac2a708c8a2
SHA256: 161d5508020f5c11fc1490923e71f08ed6c94ba06dbe1876826bc31d3fa30f57
SHA512: 07803f6e3c034fe50c680438757d42afce45ed082ade8fa4e0df7b0848ba35d9ee4addcdc78ded5863db2d38c2753fbc88804f57d98d150e80daf2c42265dcc9
Homepage: https://cran.r-project.org/package=bdl
Description: CRAN Package 'bdl' (Interface and Tools for 'BDL' API)
 Interface to Local Data Bank ('Bank Danych Lokalnych' - 'bdl') API
 <https://api.stat.gov.pl/Home/BdlApi?lang=en> with set of useful tools like
 quick plotting and map generating using data from bank.

Package: r-cran-bdlim
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1527
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-laplacesdemon, r-cran-ggplot2, r-cran-bayeslogit
Filename: pool/dists/focal/main/r-cran-bdlim_0.5.0-1.ca2004.1_all.deb
Size: 1515532
MD5sum: 4ee6e9319211e9104e77fccc57cbd02f
SHA1: df2e3d4ed3c4f972103b460a957f5a324ee2f48e
SHA256: ce25b73ee9e236b6c7ac59483aa61b2808202ed434498d0d26fade715ddb5777
SHA512: 226ae9e5324d0f0d5a3a2fc23de7eb20974f8138a9fd92eee6c61b93c8e6a56cfec9f85bc94f26f90f5294ea2500aaf173c240da99fbd6b37b8719979b724738
Homepage: https://cran.r-project.org/package=bdlim
Description: CRAN Package 'bdlim' (Bayesian Distributed Lag Interaction Models)
 Estimation and interpretation of Bayesian distributed lag interaction models
 (BDLIMs). A BDLIM regresses a scalar outcome on repeated measures of
 exposure and allows for modification by a categorical variable under four
 specific patterns of modification. The main function is bdlim(). There are
 also summary and plotting files. Details on methodology are described in
 Wilson et al. (2017) <doi:10.1093/biostatistics/kxx002>.

Package: r-cran-bdlp
Architecture: all
Version: 0.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genord, r-cran-multiord, r-cran-stringdist, r-cran-rgl, r-cran-rsqlite, r-cran-mass, r-cran-dbi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bdlp_0.9-2-1.ca2004.1_all.deb
Size: 109152
MD5sum: fe945f22a36a75f5f2f28150b2c65be0
SHA1: 404ac4b81129735dd736c546501e05b3ba538139
SHA256: e7128ab113d197c5385e46e68dc3feb35e6779c82e35b5415c095c330b7d6365
SHA512: 5826e4dc478cd91533c603f8bd1fa0f66ef89690b1c0d387d2d137f4e9f5d88efadd51a08b8b177ccd28ad58c706707bda0ca0174eed38c34e53e1f1c5cd2170
Homepage: https://cran.r-project.org/package=bdlp
Description: CRAN Package 'bdlp' (Transparent and Reproducible Artificial Data Generation)
 The main function generateDataset() processes a user-supplied .R file that
 contains metadata parameters in order to generate actual data. The metadata
 parameters have to be structured in the form of metadata objects, the format
 of which is outlined in the package vignette. This approach allows to
 generate artificial data in a transparent and reproducible manner.

Package: r-cran-bdots
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1075
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-nlme, r-cran-mvtnorm, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bdots_1.2.5-1.ca2004.1_all.deb
Size: 694384
MD5sum: 951acd95008453a11a8db303eb511b0e
SHA1: 8cb9e118d016f21dcb4506daff3d9fa8998d8e5e
SHA256: 3e3ed8a6b45b5607460e5b8ab012fd42499937f67ecc0e19efa91835de599597
SHA512: 1b705f3060abe385ec21b85f9e4b4835fbd18089d25c5a1a4b45c89b3eae69e54c05d8eca0e668e00c396f8f876def507e2c647be9cd4e15b987e4b14cd00196
Homepage: https://cran.r-project.org/package=bdots
Description: CRAN Package 'bdots' (Bootstrapped Differences of Time Series)
 Analyze differences among time series curves with p-value adjustment for
 multiple comparisons introduced in Oleson et al (2015)
 <DOI:10.1177/0962280215607411>.

Package: r-cran-bdp2
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-shiny, r-cran-shinybs
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bdp2_0.1.3-1.ca2004.1_all.deb
Size: 304200
MD5sum: ddb58bf3cf44d74a70d77b9d0e385a30
SHA1: 9ef0751cba97137009c186093e98bfaad212a4fe
SHA256: 06edff8981b77045f63f32f51a3d9d9f6d81bae08d388875967704d1dc42912f
SHA512: f3ab396c358b2e02d9bcaba07c58195976b189c5266448ff63b870d1de3c1b09f26b8a065079e00ffa0fcedcb66b176679c033ad56a7e902b322e37013fe9681
Homepage: https://cran.r-project.org/package=BDP2
Description: CRAN Package 'BDP2' (Bayesian Adaptive Designs for Phase II Trials with BinaryEndpoint)
 Tools and workflow to choose design parameters in Bayesian adaptive
 single-arm phase II trial designs with binary endpoint (response, success)
 with possible stopping for efficacy and futility at interim analyses. Also
 contains routines to determine and visualize operating characteristics. See
 Kopp-Schneider et al. (2018) <doi:10.1002/bimj.201700209>.

Package: r-cran-bdpar
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2161
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-r6, r-cran-rlist
Suggests: r-cran-cld2, r-cran-knitr, r-cran-rex, r-cran-rjson, r-cran-rmarkdown, r-cran-stringi, r-cran-stringr, r-cran-testthat, r-cran-tuber
Filename: pool/dists/focal/main/r-cran-bdpar_3.1.0-1.ca2004.1_all.deb
Size: 1285740
MD5sum: 37095ad9f4ceec9024d6635f54910b1c
SHA1: 085a6ddbb4e2c820d630fcbca9a5a4f9eea0ecad
SHA256: 43729f243dd983f3052fba25e690812487f5f7af0034383c8e1edd6266c38926
SHA512: d9e830d6dda600b4df9aa86b263fab746efe7d9d5ec7a2552428afeee1fae02ebadec2047df98b639281c0931222b19f666965504fc2666cc38ea82c2b2b4506
Homepage: https://cran.r-project.org/package=bdpar
Description: CRAN Package 'bdpar' (Big Data Preprocessing Architecture)
 Provide a tool to easily build customized data flows to pre-process large
 volumes of information from different sources. To this end, 'bdpar' allows
 to (i) easily use and create new functionalities and (ii) develop new data
 source extractors according to the user needs. Additionally, the package
 provides by default a predefined data flow to extract and pre-process the
 most relevant information (tokens, dates, ... ) from some textual sources
 (SMS, Email, YouTube comments).

Package: r-cran-bdpopt
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 533
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bdpopt_1.0-1-1.ca2004.1_all.deb
Size: 464752
MD5sum: 899ac88eb428c4940591b3feffa01826
SHA1: 0c66db81154a93a15893fd44b470acae0c35f5a4
SHA256: 2a7266116115d86ea5b2e035fb80e14ae04b17a721c3bfd983006d2864b22929
SHA512: 2c10f457cbfa67f5ce1aa3d8dc382b1af281ea2a5c569e5c795ee6a2cac07288c78b8908f5d04b9058bd35c422db476b7b40c832d11bb6bf06f3929aeafa6d44
Homepage: https://cran.r-project.org/package=bdpopt
Description: CRAN Package 'bdpopt' (Optimisation of Bayesian Decision Problems)
 Optimisation of the expected utility in single-stage and multi-stage
 Bayesian decision problems. The expected utility is estimated by simulation.
 For single-stage problems, JAGS is used to draw MCMC samples.

Package: r-cran-bdpv
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bdpv_1.4-1.ca2004.1_all.deb
Size: 105472
MD5sum: 4569f09cd59066a8acbeeead282d2872
SHA1: 70bb7436556c30e742d59a2eda0663422a71e7d8
SHA256: a8dc8ed28c62f2febd37c239580e76450bb22e8e7d8dd11ade34fdee3a8df465
SHA512: b3adf845174854f214b885905c0f040a081348f48f6bfe817d3eaf8e78c1b75e85afffb5cc0c165b21f16227e233f9a480ad3955031ff88c18f8c415d2cc90bd
Homepage: https://cran.r-project.org/package=bdpv
Description: CRAN Package 'bdpv' (Inference and Design for Predictive Values in Diagnostic Tests)
 Computation of asymptotic confidence intervals for negative and positive
 predictive values in binary diagnostic tests in case-control studies.
 Experimental design for hypothesis tests on predictive values.

Package: r-cran-bdrc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2596
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-rlang, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-bdrc_1.1.0-1.ca2004.1_all.deb
Size: 1873324
MD5sum: c4b92904fe3e5006fd2e16363519e8ff
SHA1: b8fa0ca432226d197d530c31d4dd1448b992aa71
SHA256: 76a1b1704ae0a48d19803b23e5675632e9574111b5423995e2e4090782cfaff5
SHA512: 7a22759cf4a298569545d4cc0e5348b2e8a1359df60a98fa33cda3f88c37506d50bdb05db5bfc6899ecb4a0eca20835677cb0fd4c7231e49a006ee615108f04a
Homepage: https://cran.r-project.org/package=bdrc
Description: CRAN Package 'bdrc' (Bayesian Discharge Rating Curves)
 Fits a discharge rating curve based on the power-law and the generalized
 power-law from data on paired stage and discharge measurements in a given
 river using a Bayesian hierarchical model as described in Hrafnkelsson et
 al. (2020) <arXiv:2010.04769>.

Package: r-cran-bdribs
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-bdribs_1.0.4-1.ca2004.1_all.deb
Size: 42368
MD5sum: 4cf346e4f2a44aca1d5d726152af2e99
SHA1: 8184de156eb767602e234e1a8b6806be7f8d8f2f
SHA256: 2deccd3b37e886a589beb7955b8356f1a8212f845494ca36a3d8631617849dfb
SHA512: f7e5484ff9d4c06b93da20de0bf66838857af57969b0fa303c6db34c5e9b8603d3523f7985bbe5ed64566d7b178142dd8fc9e40040b39065ba709347d5c7089f
Homepage: https://cran.r-project.org/package=bdribs
Description: CRAN Package 'bdribs' (Bayesian Detection of Potential Risk Using Inference on BlindedSafety Data)
 Implements Bayesian inference to detect signal from blinded clinical trial
 when total number of adverse events of special concerns and total risk
 exposures from all patients are available in the study.  For more details
 see the article by Mukhopadhyay et. al. (2018) titled 'Bayesian Detection of
 Potential Risk Using Inference on Blinded Safety Data', in Pharmaceutical
 Statistics (to appear).

Package: r-cran-bdscale
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bdscale_2.0.0-1.ca2004.1_all.deb
Size: 150004
MD5sum: f5ac7faf50338157abd3f8fdf1ff2e55
SHA1: 0574a4c510c1c7ca1ccfeef3e233d1fc39189eef
SHA256: 4dff996958fc00085667f3924f0fb8609aa4025458400ee85133fe3f0db3d7d8
SHA512: 4df8535585d3ade480af8928f495330d0bcb2f52fb40f674a9fa0296898db1208df4b8cfda79234e21aed8c03e5156e5cfafd9cd9381dcef2203fbf459755806
Homepage: https://cran.r-project.org/package=bdscale
Description: CRAN Package 'bdscale' (Remove Weekends and Holidays from ggplot2 Axes)
 Provides a continuous date scale, omitting weekends and holidays.

Package: r-cran-bdsm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1439
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-knitr, r-cran-magrittr, r-cran-optimbase, r-cran-pbapply, r-cran-rje, r-cran-rlang, r-cran-rootsolve, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bdsm_0.2.1-1.ca2004.1_all.deb
Size: 1289336
MD5sum: b781791e67e86c4d1ca9523e645c9c6f
SHA1: 10546f5d03a4abc70c2c030726c5ee8b117ce6e8
SHA256: ab2a8548f060f8696e798bfa800928ad3e2422f451f3ffcbcd81efb2bd148621
SHA512: 884a252d4f6d0a8304bc0e2d4437834c46a5bbb3b110cae8da51205b4512858514d0928ad9913fcf081ba9f7af923af73b016ff980347b28b7500c7a7bd91999
Homepage: https://cran.r-project.org/package=bdsm
Description: CRAN Package 'bdsm' (Bayesian Dynamic Systems Modeling)
 Implements methods for building and analyzing models based on panel data as
 described in the paper by Moral-Benito (2013,
 <doi:10.1080/07350015.2013.818003>).  The package provides functions to
 estimate dynamic panel data models and analyze the results of the
 estimation.

Package: r-cran-bdsvd
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-irlba
Suggests: r-cran-cvcovest, r-cran-mvtnorm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bdsvd_0.2.1-1.ca2004.1_all.deb
Size: 73400
MD5sum: 37ba6bd59554adc76a58bad50b6acac3
SHA1: 02b9f8beaac0aa67d1b5c92b9515dd7b318fa733
SHA256: 63ef52234a8cbd18d0e21a1c11fb834fbb4f5eb5c9facc87f95c9e4bb3fb1cc3
SHA512: c2860590d9089269cd4894e9105ac193d9a496fa428017d7a92fca605bb474c920d53cfeb272d39ced284f50920cb4d1890582c51eafe1a6e815a6e0d937c008
Homepage: https://cran.r-project.org/package=bdsvd
Description: CRAN Package 'bdsvd' (Block Structure Detection Using Singular Vectors)
 Performs block diagonal covariance matrix detection using singular vectors
 (BD-SVD), which can be extended to hierarchical variable clustering
 (HC-SVD). The methods are described in Bauer (2024)
 <doi:10.1080/10618600.2024.2422985> and Bauer (202X)
 <doi:10.48550/arXiv.2308.06820>.

Package: r-cran-bdvis
Architecture: all
Version: 0.2.37-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maps, r-cran-plotrix, r-cran-sqldf, r-cran-plyr, r-cran-taxize, r-cran-treemap, r-cran-ggplot2, r-cran-lattice, r-cran-chron, r-cran-sf
Suggests: r-cran-rinat
Filename: pool/dists/focal/main/r-cran-bdvis_0.2.37-1.ca2004.1_all.deb
Size: 103692
MD5sum: b8235e56777fad88cb067db67fd33621
SHA1: f23ae7d2e1485d0a67ec3550cd639a743e00e960
SHA256: 7eb9ef627441f17b084002e0a5895e3b3920e768b860bf1647157c0d09c2fda4
SHA512: c8f1fffae1e8538e4116e1a12536f1ae771fefde927043ac55c9218f13487d70b254f5b2049e4145ebada9da8bfb62c2b4a5f566658232aabd7c4f0f431a9d0a
Homepage: https://cran.r-project.org/package=bdvis
Description: CRAN Package 'bdvis' (Biodiversity Data Visualizations)
 Provides a set of functions to create basic visualizations to quickly
 preview different aspects of biodiversity information such as inventory
 completeness, extent of coverage (taxonomic, temporal and geographic), gaps
 and biases. Barve & Otegui (2016) <DOI:10.1093/bioinformatics/btw333>.

Package: r-cran-bdwreg
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-foreach, r-cran-doparallel, r-cran-mass, r-cran-dwreg
Filename: pool/dists/focal/main/r-cran-bdwreg_1.3.0-1.ca2004.1_all.deb
Size: 103056
MD5sum: 3a47255aec408079309d542e3c15c06f
SHA1: fa2ea802f4a66e91ed28239995519d3cae20c195
SHA256: 2fd49ede53844975d47271c2f343f0ba4cbd363286cac619f6e87b5a4c8a7b37
SHA512: 1d17086171c57075e928f61ce6ac05155984a4f3db38b6f90b16f93367a1e07e46e09c4de9b1c4c7921b0e6e6281342dd7f06ca7bc0fdea1ce11367c1262652f
Homepage: https://cran.r-project.org/package=BDWreg
Description: CRAN Package 'BDWreg' (Bayesian Inference for Discrete Weibull Regression)
 A Bayesian regression model for discrete response, where the conditional
 distribution is modelled via a discrete Weibull distribution. This package
 provides an implementation of Metropolis-Hastings and Reversible-Jumps
 algorithms to draw samples from the posterior. It covers a wide range of
 regularizations through any two parameter prior. Examples are Laplace
 (Lasso), Gaussian (ridge), Uniform, Cauchy and customized priors like a
 mixture of priors. An extensive visual toolbox is included to check the
 validity of the results as well as several measures of goodness-of-fit.

Package: r-cran-bdynsys
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plm, r-cran-formula, r-cran-mass, r-cran-hmisc, r-cran-desolve, r-cran-pracma, r-cran-catools, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-bdynsys_1.3-1.ca2004.1_all.deb
Size: 177412
MD5sum: 923c42589ed45d9e7f9114e3aa3205eb
SHA1: 11ad842a2e9e72dc3accabeb62454019daaeef84
SHA256: 5919a7a9ff300332068d5657e30e501bc01240b154bd272562aada2c15281da2
SHA512: af6fd6bf730fe45ace82bb1c8319b9875ce8eee74d5f128f51089fe4902d99821d1856d9d2a36fcd64c413c8cf96832cb61f5e123c876ffece2f2e5dbb16ec8f
Homepage: https://cran.r-project.org/package=bdynsys
Description: CRAN Package 'bdynsys' (Bayesian Dynamical System Model)
 The package bdynsys for panel/longitudinal data combines methods to model
 changes in up to four indicators over times as a function of the indicators
 themselves and up to three predictors using ordinary differential equations
 (ODEs) with polynomial terms that allow to model complex and nonlinear
 effects. A Bayesian model selection approach is implemented. The package
 provides also visualisation tools to plot phase portraits of the dynamic
 system, showing the complex co-evolution of two indicators over time with
 the possibility to highlight trajectories for specified entities (e.g.
 countries, individuals). Furthermore the visualisation tools allow for
 making predictions of the trajectories of specified entities with respect to
 the indicators.

Package: r-cran-be
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rtf
Filename: pool/dists/focal/main/r-cran-be_0.2.4-1.ca2004.1_all.deb
Size: 205416
MD5sum: 55ade4ec55ba78558de2fe5196d8e253
SHA1: 00c1978c1287ce16f75192212c391b72939d8e46
SHA256: 6b4cdf35661e314ed1dbde9cdbd5f99ee5627ab2e57c152f46452013699f90ed
SHA512: 0198494a0aae1bfc7030891b4cec101026fd91a148bf34c1927f88a689b8c0416c5b1a9babf2fa37c5bb636cf7bb6adc2759132c58c9830d6c0e80cef494f688
Homepage: https://cran.r-project.org/package=BE
Description: CRAN Package 'BE' (Bioequivalence Study Data Analysis)
 Analyze bioequivalence study data with industrial strength. Sample size
 could be determined for various crossover designs, such as 2x2 design, 2x4
 design, 4x4 design, Balaam design, Two-sequence dual design, and William
 design.  Reference: Chow SC, Liu JP. Design and Analysis of Bioavailability
 and Bioequivalence Studies. 3rd ed. (2009, ISBN:978-1-58488-668-6).

Package: r-cran-bea.r
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-dt, r-cran-shiny, r-cran-jsonlite, r-cran-googlevis, r-cran-shinydashboard, r-cran-ggplot2, r-cran-stringr, r-cran-chron, r-cran-gtable, r-cran-scales, r-cran-htmltools, r-cran-httpuv, r-cran-xtable, r-cran-stringi, r-cran-magrittr, r-cran-htmlwidgets, r-cran-rcpp, r-cran-munsell, r-cran-colorspace, r-cran-plyr, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-bea.r_1.0.6-1.ca2004.1_all.deb
Size: 93536
MD5sum: 0fb885cde6cf6b64a6e0bbecb6cb8ebe
SHA1: e5e8bc83a9e31e54349225aaf4432b49272b1daf
SHA256: 56b408d8900b0e509d401a2bdeb0459e9a1a0f38c977f120334098593d7f7ae5
SHA512: 634d0f08e724093b5746611d1b6cc00269cfd2ff3c86091530e1ca304bf65acf24c7c285304030fa57bbd472a95e0254d58f0073eaa9ce2a2aeefbc78df4d2d6
Homepage: https://cran.r-project.org/package=bea.R
Description: CRAN Package 'bea.R' (Bureau of Economic Analysis API)
 Provides an R interface for the Bureau of Economic Analysis (BEA) API (see
 <http://www.bea.gov/API/bea_web_service_api_user_guide.htm> for more
 information) that serves two core purposes - 1. To Extract/Transform/Load
 data [beaGet()] from the BEA API as R-friendly formats in the user's work
 space [transformation done by default in beaGet() can be modified using
 optional parameters; see, too, bea2List(), bea2Tab()].  2. To enable the
 search of descriptive meta data [beaSearch()].  Other features of the
 library exist mainly as intermediate methods or are in early stages of
 development.  Important Note - You must have an API key to use this library.
 Register for a key at <http://www.bea.gov/API/signup/index.cfm> .

Package: r-cran-beach
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 587
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-haven, r-cran-xtable, r-cran-rtf, r-cran-plyr, r-cran-sas7bdat, r-cran-writexls, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-beach_1.3.1-1.ca2004.1_all.deb
Size: 106592
MD5sum: b982146eb118c2dbbdeecc12e0185762
SHA1: c92b473b1199b9380a18518a5f1746c5c8d61513
SHA256: 42b25fa797b9e9fe8b0f113bfa28066389c7028397cfbb9183f673cf5fd239c0
SHA512: 09a53487a64fcfd05e06d08c147c43a87a7847af7db0ee82332d873345e7fca274d9d1833b813dba6d2c83eeb0cfef9b8becfc57608cdf879077e417005b3a3f
Homepage: https://cran.r-project.org/package=BEACH
Description: CRAN Package 'BEACH' (Biometric Exploratory Analysis Creation House)
 A platform is provided for interactive analyses with a goal of totally easy
 to develop, deploy, interact, and explore (TEDDIE). Using this package,
 users can create customized analyses and make them available to end users
 who can perform interactive analyses and save analyses to RTF or HTML files.
 It allows developers to focus on R code for analysis, instead of dealing
 with html or shiny code.

Package: r-cran-beadarrayfilter
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-beadarray, r-cran-rcolorbrewer
Suggests: r-bioc-lumi
Filename: pool/dists/focal/main/r-cran-beadarrayfilter_1.1.0-1.ca2004.1_all.deb
Size: 43488
MD5sum: 58d85c7c245b324c8986e67d6efccb9b
SHA1: bd2347c32c969dd46fb09b1e08117fe56a156545
SHA256: 0a36454d2054d59ac755256ce93fe69b22693faff4fcf8476542d11848d01c7b
SHA512: 7a58eecdb1b16f93946f5e4b4dda18428d1a8cb3cb5eb53e9110808a72bf268b2f0df71c405c2def311804f700a2a809b4acc9d973f0aa53c1069469a30afa68
Homepage: https://cran.r-project.org/package=beadarrayFilter
Description: CRAN Package 'beadarrayFilter' (Bead filtering for Illumina bead arrays)
 This package contains functions to fit the filtering model of Forcheh et
 al., (2012) which is used to derive the intra-cluster correlation (ICC).
 Model fitting is done using the modified version of the ``MLM.beadarray"
 function of Kim and Lin (2011).

Package: r-cran-beadplexr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4867
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cluster, r-cran-dplyr, r-cran-drc, r-cran-fpc, r-cran-ggplot2, r-cran-mclust, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-yaml, r-cran-rlang
Suggests: r-cran-spelling, r-cran-gridextra, r-cran-hexbin, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-beadplexr_0.5.0-1.ca2004.1_all.deb
Size: 3980456
MD5sum: 2236822552d3e8668660a502d4060eb8
SHA1: dae8145741e0b36f20556fb266fbc6db7d78234b
SHA256: 0e2f039a2fdcaf5a9728d11c1e9174faca96d087785e9be0c8c560e525aee01e
SHA512: 379d8c8d237ed14b41ab7ca96ddf1423a022a7328c64e7fa39e59e1503cd82ac6b3caa5764937e07ff8e998d7935d2a5e3e5d70aacf0b5c19bed7feb1a5648ce
Homepage: https://cran.r-project.org/package=beadplexr
Description: CRAN Package 'beadplexr' (Analysis of Multiplex Cytometric Bead Assays)
 Reproducible and automated analysis of multiplex bead assays such as CBA
 (Morgan et al. 2004; <doi: 10.1016/j.clim.2003.11.017>), LEGENDplex (Yu et
 al. 2015; <doi: 10.1084/jem.20142318>), and MACSPlex (Miltenyi Biotec 2014;
 Application note: Data acquisition and analysis without the MACSQuant
 analyzer; <https://www.miltenyibiotec.com/upload/assets/IM0021608.PDF>). The
 package provides functions for streamlined reading of fcs files, and
 identification of bead clusters and analyte expression. The package eases
 the calculation of standard curves and the subsequent calculation of the
 analyte concentration.

Package: r-cran-beakr
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-base64enc, r-cran-httpuv, r-cran-jsonlite, r-cran-magrittr, r-cran-mime, r-cran-stringr, r-cran-webutils
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-beakr_0.4.3-1.ca2004.1_all.deb
Size: 287796
MD5sum: af5826b19943fb0acc1b2d34d7e33680
SHA1: 71523879c935ef32744eb69035ef29c2624e7578
SHA256: 3c38a8df2c8d5392e11414f2def8e2662295f913efaabfeb84b4fef7af8bf3f4
SHA512: 822081bc6da201a280abe7d848b0c7dc1198d0b7c7e4deba92e1eeefd6edc41e2dfb83746415e6c7ff53b9403c4b0b6c2ec184bbf44c930509b499ad81472d11
Homepage: https://cran.r-project.org/package=beakr
Description: CRAN Package 'beakr' (A Minimalist Web Framework for R)
 A minimalist web framework for developing application programming interfaces
 in R that provides a flexible framework for handling common HTTP-requests,
 errors, logging, and an ability to integrate any R code as server
 middle-ware.

Package: r-cran-beamr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggmosaic, r-cran-ggplot2, r-cran-ggpubr, r-cran-logistf, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-rlist, r-cran-stringr, r-cran-survival, r-cran-survminer
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-beamr_1.1.0-1.ca2004.1_all.deb
Size: 350256
MD5sum: e3bed809f42de6480d69faf03605826a
SHA1: 7284843902559b3d93d1d7275553b632c17650a8
SHA256: f95c41cb9a2111bd335f17258171d0c3afb64ce812c43845e675f43ba35c54ce
SHA512: 0072f60e0c6f7277608ac3ba43b90dba5f31dcb3dead167ed693726591df4978c1735a05544d17460d0f5f76db086976014bc09623d161bb131752796a57958a
Homepage: https://cran.r-project.org/package=BEAMR
Description: CRAN Package 'BEAMR' (Bootstrap Evaluation of Association Matrices)
 A bootstrap-based approach to integrate multiple forms of high dimensional
 genomic data with multiple clinical endpoints.  This method is used to find
 clinically meaningful groups of genomic features, such as genes or pathways.
 A manuscript describing this method is in preparation.

Package: r-cran-beanplot
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-vioplot, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-beanplot_1.3.1-1.ca2004.1_all.deb
Size: 326284
MD5sum: e5a0bca1f0d9e9b12b2a852accdd061c
SHA1: e8f6f45eeec992fd2549029941219b0035c3059d
SHA256: b3f373c2bf504f05baf9ae568b6770e60654abcd741d7a1286daf46a02f0eced
SHA512: 9cc383d968166b45c57e40cc09f7e72223e6efc5817797bffa5cac9b4541aafd5eb19952ed7c2bf398aa2daa644a8704834a5d45628384cdf28f5a078d573ee9
Homepage: https://cran.r-project.org/package=beanplot
Description: CRAN Package 'beanplot' (Visualization via Beanplots (Like Boxplot/Stripchart/ViolinPlot))
 Plots univariate comparison graphs, an alternative to
 boxplot/stripchart/violin plot.

Package: r-cran-beans
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1409
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-beans_0.1.0-1.ca2004.1_all.deb
Size: 1406172
MD5sum: 13d359f72efc76439d672b8d412207e1
SHA1: 39d3efd31d630daa359c5072ce77fad7dc59870a
SHA256: b629ae60a274780ca595eb488b73d9485e74f454dac9cd601dd589ecd1f1fe54
SHA512: d9f7d71a824be8bd26ee4afc7a6be0bf23293ac29f05a24040ce2b0c6e201b6883a4ea2a4b1101fefecdc1ced9668f802a396f67fc9572d935761bf77e7aaad1
Homepage: https://cran.r-project.org/package=beans
Description: CRAN Package 'beans' (Data on Dried Beans)
 These data contain morphological image measurements for dried beans from
 Koklu and Ozkan (2020) <doi:10.1016/j.compag.2020.105507>.

Package: r-cran-bearishtrader
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bearishtrader_1.0.2-1.ca2004.1_all.deb
Size: 186748
MD5sum: e1867537bba502a71cc80d41bddeaabd
SHA1: 66142e74a04e3ddde51e3e234c4707f88d39e674
SHA256: 28ba0dac9091c7d1f2d2aa757cc4a87e82ea98c0a4d9454ba54c62366d0f32c1
SHA512: b28822c9e5fc04628fa2627990adfb3d7fe4de76f0b84515e3a81f4951f35722c5babd64ce6b309428b588b05d3ae2cff71b7f200e96b15899fdf919b252670a
Homepage: https://cran.r-project.org/package=bearishTrader
Description: CRAN Package 'bearishTrader' (Trading Strategies for Bearish Outlook)
 Stock, Options and Futures Trading Strategies for Traders and Investors with
 Bearish Outlook. The indicators, strategies, calculations, functions and all
 other discussions are for academic, research, and educational purposes only
 and should not be construed as investment advice and come with absolutely no
 Liability.  Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015,
 ISBN: 9780133964028).  Juan A. Serur, Juan A. Serur (“151 Trading
 Strategies”, 2018, ISBN: 9783030027919).  Chartered Financial Analyst
 Institute ("Chartered Financial Analyst Program Curriculum 2020 Level I
 Volumes 1-6. (Vol. 5, pp. 385-453)", 2019, ISBN: 9781119593577).  John C.
 Hull (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN:
 9780136939979).

Package: r-cran-beast
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-beast_1.1-1.ca2004.1_all.deb
Size: 307076
MD5sum: 84e861a08ca5c2f33543696ce116b06a
SHA1: ee455e92250fe49fb93b7e21693105c0c29f9d3a
SHA256: a9d907f8a93dd2ce6e89a9ead62fa90768ffb1f83d3acc4e9dd3ea8e4eb3d280
SHA512: fd6cdbe988919eeba6d88ff04734f9f038314cdcb3691a6bfaf14b30f87729ccb75090e85092037bb2318395c30821c69d0c506b2910374c1773309e4b36a566
Homepage: https://cran.r-project.org/package=beast
Description: CRAN Package 'beast' (Bayesian Estimation of Change-Points in the Slope ofMultivariate Time-Series)
 Assume that a temporal process is composed of contiguous segments with
 differing slopes and replicated noise-corrupted time series measurements are
 observed. The unknown mean of the data generating process is modelled as a
 piecewise linear function of time with an unknown number of change-points.
 The package infers the joint posterior distribution of the number and
 position of change-points as well as the unknown mean parameters per
 time-series by MCMC sampling. A-priori, the proposed model uses an
 overfitting number of mean parameters but, conditionally on a set of
 change-points, only a subset of them influences the likelihood. An
 exponentially decreasing prior distribution on the number of change-points
 gives rise to a posterior distribution concentrating on sparse
 representations of the underlying sequence, but also available is the
 Poisson distribution. See Papastamoulis et al (2017) <arXiv:1709.06111> for
 a detailed presentation of the method.

Package: r-cran-beastier
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-beautier, r-cran-phangorn, r-cran-rappdirs, r-cran-readr, r-cran-rjava, r-cran-rlang, r-cran-sessioninfo, r-cran-stringr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tracerer
Filename: pool/dists/focal/main/r-cran-beastier_2.5.2-1.ca2004.1_all.deb
Size: 522616
MD5sum: 6ba9cf81848e77d613b94fc4e5070da4
SHA1: a89faf59d147bbc6a9715134a6ec6921a9f22e73
SHA256: cddc3078d0fd9c1fe08539b6b41b5c3f5deba8e59b547f7db60ed4346901829e
SHA512: 422a35542d68d1d762cb24f7e5cf42ed303f2c79bb39fe3ded0a10cafb1ba1fc5a2f146832b9f38504d05522abf9c6f759c2a2508f4a3edc679a8f44b1dd5317
Homepage: https://cran.r-project.org/package=beastier
Description: CRAN Package 'beastier' (Call 'BEAST2')
 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic
 tool, that uses DNA/RNA/protein data and many model priors to create a
 posterior of jointly estimated phylogenies and parameters.  'BEAST2' is a
 command-line tool.  This package provides a way to call 'BEAST2' from an 'R'
 function call.

Package: r-cran-beastjar
Architecture: all
Version: 1.10.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7970
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-beastjar_1.10.6-1.ca2004.1_all.deb
Size: 7238884
MD5sum: 6e077d4a5bfafa0e069a4d891841d6fa
SHA1: ea5f42492f3d269d7788e6902d436c87a8886dee
SHA256: 8de84d9272a7c416340bbc9197816f814c732812d21123c5bfbe73ed7f740611
SHA512: d00ecc0b745bafab48f269cbd86450203898e59d24455efed62c03f8834d1324f22aeda9962f2c6dd5979aa35d7212a2e2f886d3406ae8db06aef7bbc73c30fa
Homepage: https://cran.r-project.org/package=BeastJar
Description: CRAN Package 'BeastJar' (JAR Dependency for MCMC Using 'BEAST')
 Provides JAR to perform Markov chain Monte Carlo (MCMC) inference using the
 popular Bayesian Evolutionary Analysis by Sampling Trees 'BEAST' software
 library of Suchard et al (2018) <doi:10.1093/ve/vey016>. 'BEAST' supports
 auto-tuning Metropolis-Hastings, slice, Hamiltonian Monte Carlo and
 Sequential Monte Carlo sampling for a large variety of composable standard
 and phylogenetic statistical models using high performance computing.  By
 placing the 'BEAST' JAR in this package, we offer an efficient distribution
 system for 'BEAST' use by other R packages using CRAN.

Package: r-cran-beastt
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-cobalt, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-distributional, r-cran-tidyr, r-cran-ggdist, r-cran-mixtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-beastt_0.0.1-1.ca2004.1_all.deb
Size: 350156
MD5sum: d52d7959890d19d2d42931dd250c949e
SHA1: 7842edf2418fdf018a0e86747d1c0a63cb3f1754
SHA256: e1d9012f649c8759f5ee1663bd4c17bccb6348e37a7e0e45084461429e26d8d2
SHA512: ff6e5adab2ecdac64e853f029b0cbbd1bfc723b999b0fa33b1ecbc3034359f7e1256c56a0df30af9566ee9ff6ee79c241768a6bd926dbedb2db0124335b5e212
Homepage: https://cran.r-project.org/package=beastt
Description: CRAN Package 'beastt' (Bayesian Evaluation, Analysis, and Simulation Software Tools forTrials)
 Bayesian dynamic borrowing with covariate adjustment via inverse probability
 weighting for simulations and data analyses in clinical trials. This makes
 it easy to use propensity score methods to balance covariate distributions
 between external and internal data.

Package: r-cran-beautier
Architecture: all
Version: 2.6.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4747
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-rappdirs, r-cran-purrr, r-cran-rlang, r-cran-seqinr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-beautier_2.6.12-1.ca2004.1_all.deb
Size: 1690868
MD5sum: feb9579db182c1b4079f794a521bb2fb
SHA1: c1255f5e11e250e6f4264ff6acdf79fb3a654a0d
SHA256: 6a4ce19fda18b08bbea00b5f3608d09660fb9ac1e8b7c00f0f939550853dc31c
SHA512: b50336fd114eed0b9e196dccdfd63cf6c108e106ff906bb995c146b26143749792d3d690a0cefad63fc023d612ce6fd89264b9d822a22f3325ddbbd7fb3d34e1
Homepage: https://cran.r-project.org/package=beautier
Description: CRAN Package 'beautier' ('BEAUti' from R)
 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic
 tool, that uses DNA/RNA/protein data and many model priors to create a
 posterior of jointly estimated phylogenies and parameters.  'BEAUti 2'
 (which is part of 'BEAST2') is a GUI tool that allows users to specify the
 many possible setups and generates the XML file 'BEAST2' needs to run.  This
 package provides a way to create 'BEAST2' input files without active user
 input, but using R function calls instead.

Package: r-cran-beaver
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ellipsis, r-cran-fs, r-cran-ggplot2, r-cran-purrr, r-cran-rjags, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-yodel
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-beaver_1.0.0-1.ca2004.1_all.deb
Size: 210888
MD5sum: 6210652395db6199c7c987773eec6783
SHA1: 6ce54b302417d552ddbf025c4fe09b03208275b1
SHA256: ed159894cc3ff378b65d0a03c813a063d3526a4548b59a2581cea27c529d0c88
SHA512: 723d9722e6e60a8313b20fc09b4c4550e1fcd797043da280592fb8c445b56c3b3c7580a9b4b0507c6b678608a4fbaa5c4dd6694dfdaab1e69e77097909a787b7
Homepage: https://cran.r-project.org/package=beaver
Description: CRAN Package 'beaver' (Bayesian Model Averaging of Covariate Adjusted Negative-BinomialDose-Response)
 Dose-response modeling for negative-binomial distributed data with a variety
 of dose-response models. Covariate adjustment and Bayesian model averaging
 is supported. Functions are provided to easily obtain inference on the
 dose-response relationship and plot the dose-response curve.

Package: r-cran-bed
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3278
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-shiny, r-cran-dt, r-cran-miniui, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biomart, r-bioc-geoquery, r-cran-base64enc, r-cran-htmltools, r-cran-webshot2, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-bed_1.6.0-1.ca2004.1_all.deb
Size: 1574996
MD5sum: 0daa6928589cf9aa9e09790ad32f8cf5
SHA1: f7248a11805878e92eef8a3e78f9e8e08608ca95
SHA256: 5e4908c7c6e4025305c5b10c42aad5d479b5041d200186f506d558ab337f5b38
SHA512: 68f0c1ad28ebb665c3371c2e245074c494957919f378b997b223aa47140ee7c8288234bd6c609a329f23a3abbd231534e4c69bfa22565efe299098072bb19ab7
Homepage: https://cran.r-project.org/package=BED
Description: CRAN Package 'BED' (Biological Entity Dictionary (BED))
 An interface for the 'Neo4j' database providing mapping between different
 identifiers of biological entities.  This Biological Entity Dictionary (BED)
 has been developed to address three main challenges.  The first one is
 related to the completeness of identifier mappings.  Indeed, direct mapping
 information provided by the different systems are not always complete and
 can be enriched by mappings provided by other resources.  More
 interestingly, direct mappings not identified by any of these resources can
 be indirectly inferred by using mappings to a third reference.  For example,
 many human Ensembl gene ID are not directly mapped to any Entrez gene ID but
 such mappings can be inferred using respective mappings to HGNC ID. The
 second challenge is related to the mapping of deprecated identifiers.
 Indeed, entity identifiers can change from one resource release to another.
 The identifier history is provided by some resources, such as Ensembl or the
 NCBI, but it is generally not used by mapping tools.  The third challenge is
 related to the automation of the mapping process according to the
 relationships between the biological entities of interest.  Indeed, mapping
 between gene and protein ID scopes should not be done the same way than
 between two scopes regarding gene ID.  Also, converting identifiers from
 different organisms should be possible using gene orthologs information.
 The method has been published by Godard and van Eyll (2018)
 <doi:10.12688/f1000research.13925.3>.

Package: r-cran-bedassle
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-matrixcalc, r-cran-emdbook
Filename: pool/dists/focal/main/r-cran-bedassle_1.6.1-1.ca2004.1_all.deb
Size: 233288
MD5sum: 2ea2ec4e62736b011821c3bc44c8f5ea
SHA1: ca1ba7cc6e6766dc62c1ef9d18111a7405957197
SHA256: cc915d9df4f665e075d3809fde57e739c256a893ee3ac84fdffeb881344c63d3
SHA512: a75dbca81cf290f16f24aa985a96c5130cce43d08e5a383f934561a99da373d4c88e3acecba608a23ee2c1b6973f3b96aeb6e8159aedccf73d42c51fed68ecae
Homepage: https://cran.r-project.org/package=BEDASSLE
Description: CRAN Package 'BEDASSLE' (Quantifies Effects of Geo/Eco Distance on GeneticDifferentiation)
 Provides functions that allow users to quantify the relative contributions
 of geographic and ecological distances to empirical patterns of genetic
 differentiation on a landscape.  Specifically, we use a custom Markov chain
 Monte Carlo (MCMC) algorithm, which is used to estimate the parameters of
 the inference model, as well as functions for performing MCMC diagnosis and
 assessing model adequacy.

Package: r-cran-bedr
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-testthat, r-cran-venndiagram, r-cran-data.table, r-cran-r.utils, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bedr_1.1.3-1.ca2004.1_all.deb
Size: 1039728
MD5sum: e32a648fc1a14ba96a3b968ccb1a454d
SHA1: a416308f61244fa9ec59cb4f548f1adf5b4f2960
SHA256: 14c569d9d4f3a1d377e27fafacb13b406e712f3fc40a87fa070d36f3a9054c9b
SHA512: 911a99711564c3ed6a236a8a0ab21598a5c1c2b4b04d02a13160a2208831e9af650ed4ee362769f923032d868a07e45cacbe77fd65023d7dab55ad0cd7fd453f
Homepage: https://cran.r-project.org/package=bedr
Description: CRAN Package 'bedr' (Genomic Region Processing using Tools Such as 'BEDTools','BEDOPS' and 'Tabix')
 Genomic regions processing using open-source command line tools such as
 'BEDTools', 'BEDOPS' and 'Tabix'.  These tools offer scalable and efficient
 utilities to perform genome arithmetic e.g indexing, formatting and merging.
 bedr API enhances access to these tools as well as offers additional
 utilities for genomic regions processing.

Package: r-cran-beebdc
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3297
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-circlize, r-cran-coordinatecleaner, r-cran-cowplot, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggspatial, r-cran-here, r-cran-igraph, r-cran-lubridate, r-cran-mgsub, r-cran-openxlsx, r-cran-paletteer, r-cran-readr, r-cran-rnaturalearth, r-cran-sf, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-bdc, r-cran-biocmanager, r-cran-classint, r-bioc-complexheatmap, r-cran-countrycode, r-cran-devtools, r-cran-emld, r-cran-formatr, r-cran-galah, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httr, r-cran-janitor, r-cran-knitr, r-cran-leaflet, r-cran-magrittr, r-cran-pkgdown, r-cran-plotly, r-cran-prettydoc, r-cran-purrr, r-cran-r.utils, r-cran-renv, r-cran-rgnparser, r-cran-rlang, r-cran-rmarkdown, r-cran-rmdformats, r-cran-rnaturalearthdata, r-cran-rvest, r-cran-taxadb, r-cran-terra, r-cran-testthat, r-cran-tidyr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-beebdc_1.2.1-1.ca2004.1_all.deb
Size: 2346680
MD5sum: 60b512d9041458d6b1f68fe2af798286
SHA1: ece1403774913f82c40f7f3ce0f3dcc85c6988a7
SHA256: d07a14327ca27a1e8f1ff3b9e0cd4c83f183b7c9cad8b4dbb1862fb949e030d5
SHA512: 0e372b08a9b466941c3dca448f41920ad420f99d54ec718eaf33e51f80c429233f8fc956af6ef1ff63f7ecb78d184ec0fd2744b9b551b51959e9393fade3c4ba
Homepage: https://cran.r-project.org/package=BeeBDC
Description: CRAN Package 'BeeBDC' (Occurrence Data Cleaning)
 Flags and checks occurrence data that are in Darwin Core format.  The
 package includes generic functions and data as well as some that are
 specific to bees. This package is meant to build upon and be complimentary
 to other excellent occurrence cleaning packages, including 'bdc' and
 'CoordinateCleaner'.  This package uses datasets from several sources and
 particularly from the Discover Life Website, created by Ascher and Pickering
 (2020).  For further information, please see the original publication and
 package website.  Publication - Dorey et al. (2023)
 <doi:10.1101/2023.06.30.547152> and package website - Dorey et al. (2023)
 <https://github.com/jbdorey/BeeBDC>.

Package: r-cran-beeca
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-marginaleffects, r-cran-margins, r-cran-robincar
Filename: pool/dists/focal/main/r-cran-beeca_0.2.0-1.ca2004.1_all.deb
Size: 118108
MD5sum: 5d9e6dbe33be6fccf76bad2eaee02b76
SHA1: 7d8a4521de70f81dc880d28e51ea04c95cb2f0f3
SHA256: f8761706ff93dc24aa2a59e91e0f6b77219d149bb22288cf7899096aeda011ff
SHA512: ee466033e5cc9ac4106fd116cfbead5b24636287ed5644b9eabd2bcc6d96207291574a385d1070e146801e07a1180e23e57ca8bfb2a911a9d13febbaf6b6b32a
Homepage: https://cran.r-project.org/package=beeca
Description: CRAN Package 'beeca' (Binary Endpoint Estimation with Covariate Adjustment)
 Performs estimation of marginal treatment effects for binary outcomes when
 using logistic regression working models with covariate adjustment (see
 discussions in Magirr et al (2024) <https://osf.io/9mp58/>).  Implements the
 variance estimators of Ge et al (2011) <doi:10.1177/009286151104500409> and
 Ye et al (2023) <doi:10.1080/24754269.2023.2205802>.

Package: r-cran-beepr
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1353
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-audio
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-beepr_2.0-1.ca2004.1_all.deb
Size: 938904
MD5sum: b16b681a5529a6d76f41f06c067ba06c
SHA1: a427642e6be66e09af600c77c62bc6b984ccb775
SHA256: f6662cc378a7651d6a2b676ce8b58e443ab0f14d15b236be523889b2dc09c5ae
SHA512: e5bf82ff1ecc3837a5ef0c02c4d7f5714f9b9126fbaff3aca2c173aae82b77518480a5409b49d4585e971872db159a045debb4ec3c59c5ec0b0e5d29a28ab278
Homepage: https://cran.r-project.org/package=beepr
Description: CRAN Package 'beepr' (Easily Play Notification Sounds on any Platform)
 The main function of this package is beep(), with the purpose to make it
 easy to play notification sounds on whatever platform you are on.  It is
 intended to be useful, for example, if you are running a long analysis in
 the background and want to know when it is ready.

Package: r-cran-beezdemand
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1125
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlsr, r-cran-nlstools, r-cran-nls2, r-cran-ggplot2, r-cran-reshape2, r-cran-optimx
Suggests: r-cran-openxlsx, r-cran-knitr, r-cran-dplyr, r-cran-tidyr, r-cran-tidyverse, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-beezdemand_0.1.2-1.ca2004.1_all.deb
Size: 748320
MD5sum: 473aa5eb1745a8007a8efc5e62c4f2eb
SHA1: 75909375565dce5b78a2c9b1dc68bc97ad4fa432
SHA256: 8b44ee2b028dca131fb08aad17ca1dc727e3c38aa8161c3de67d29ea46fe103a
SHA512: 75422390f06528b923d9c981ba716d0587cc36b9427922cdf21674d57a4fc1847b880782612d42d1d341ecfd60408b581fef356accdb5c0768a8a2a94416921f
Homepage: https://cran.r-project.org/package=beezdemand
Description: CRAN Package 'beezdemand' (Behavioral Economic Easy Demand)
 Facilitates many of the analyses performed in studies of behavioral economic
 demand. The package supports commonly-used options for modeling operant
 demand including (1) data screening proposed by Stein, Koffarnus, Snider,
 Quisenberry, & Bickel (2015; <doi:10.1037/pha0000020>), (2) fitting models
 of demand such as linear (Hursh, Raslear, Bauman, & Black, 1989,
 <doi:10.1007/978-94-009-2470-3_22>), exponential (Hursh & Silberberg, 2008,
 <doi:10.1037/0033-295X.115.1.186>) and modified exponential (Koffarnus,
 Franck, Stein, & Bickel, 2015, <doi:10.1037/pha0000045>), and (3)
 calculating numerous measures relevant to applied behavioral economists
 (Intensity, Pmax, Omax). Also supports plotting and comparing data.

Package: r-cran-beezdiscounting
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beezdemand, r-cran-broom, r-cran-dplyr, r-cran-ggplot2, r-cran-gtools, r-cran-magrittr, r-cran-minpack.lm, r-cran-psych, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-beezdiscounting_0.3.2-1.ca2004.1_all.deb
Size: 274380
MD5sum: b0e6729829bada2fe95fd65fbf1c29cb
SHA1: d83ea36121776227ab0286d2c0736a102317bbec
SHA256: 29814d205080806dcd29852da5eb69c0e2da1c9e59a65529110ec04154577db5
SHA512: 880d2a0e1ae80c77774352099ed6a9ce82909773cf07a06f99be66226b26558c0b0cf4413c3bd8e119eabbb34d5f1714d2130eede6d08947e797e3c5a1af51ea
Homepage: https://cran.r-project.org/package=beezdiscounting
Description: CRAN Package 'beezdiscounting' (Behavioral Economic Easy Discounting)
 Facilitates some of the analyses performed in studies of behavioral economic
 discounting. The package supports scoring of the 27-Item Monetary Choice
 Questionnaire (see Kaplan et al., 2016; <doi:10.1007/s40614-016-0070-9>),
 calculating k values (Mazur's simple hyperbolic and exponential) using
 nonlinear regression, calculating various Area Under the Curve (AUC)
 measures, plotting regression curves for both fit-to-group and two-stage
 approaches, checking for unsystematic discounting (Johnson & Bickel, 2008;
 <doi:10.1037/1064-1297.16.3.264>) and scoring of the minute discounting task
 (see Koffarnus & Bickel, 2014; <doi:10.1037/a0035973>) using the Qualtrics
 5-trial discounting template (see the Qualtrics Minute Discounting User
 Guide; <doi:10.13140/RG.2.2.26495.79527>), which is also available as a .qsf
 file in this package.

Package: r-cran-befproj
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-befproj_0.1.1-1.ca2004.1_all.deb
Size: 70620
MD5sum: 98cfd00540f549796b89bb73cb44ab47
SHA1: 4e5cfe8d5948053029b3b08effbaf5c86e54ca45
SHA256: 9db2c614e8342cd0f0b5516632986df296a3c2d3d546740a03e051cc2b50d774
SHA512: c8be8db4bb44ff8624e83b949744ca9e6978f89113241923f86beda39347401a5bd2b9872185ad527722afbbe1adb00b61e0cb08e9df4ecf8274fe23447c9ab2
Homepage: https://cran.r-project.org/package=befproj
Description: CRAN Package 'befproj' (Makes a Local Population Projection)
 This is a sub national population projection model for calculating
 population development. The model uses a cohort component method.  Further
 reading: Stanley K. Smith: A Practitioner's Guide to State and Local
 Population Projections. 2013.  <doi:10.1007/978-94-007-7551-0>.

Package: r-cran-beginr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cranlogs
Filename: pool/dists/focal/main/r-cran-beginr_0.1.7-1.ca2004.1_all.deb
Size: 97156
MD5sum: f024b3eac83f371d3a2e9e17672c216b
SHA1: 88d21f58838aef49099542ca3f2e164d02b225f4
SHA256: 82e32409bff7ed1ec1e43a0419137af70e0a3ffc8b9b92663ee35eb477f9c89f
SHA512: 5adba2254c21e6943d99a275c2bf7e1954b604d77a40be96e2795f2f424ce307ff752a9c7f761cfadad28208f221ab2ef2fa25df5221454bdb35768b5e33363d
Homepage: https://cran.r-project.org/package=beginr
Description: CRAN Package 'beginr' (Functions for R Beginners)
 Useful functions for R beginners, including hints for the arguments of the
 'plot()' function, self-defined functions for error bars, user-customized
 pair plots and hist plots, enhanced linear regression figures, etc.. This
 package could be helpful to R experts as well.

Package: r-cran-behaviorchange
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4033
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-biasedurn, r-cran-data.tree, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-ggplot2, r-cran-googlesheets4, r-cran-gridextra, r-cran-gtable, r-cran-knitr, r-cran-rmdpartials, r-cran-ufs, r-cran-viridis, r-cran-yum
Suggests: r-cran-htmltools, r-cran-kableextra, r-cran-openxlsx, r-cran-png, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rsvg, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-behaviorchange_0.5.5-1.ca2004.1_all.deb
Size: 1756232
MD5sum: caaeefaf51f43e8bbe125cfd01eb5482
SHA1: 3d8065a66747c7be256415dbf27e492449fe7719
SHA256: 38919b19e1b25b4286380308b46c10bdec40102d24ae4be2099b0e597e1cd0ab
SHA512: 150b66284f21fe45a627250c8d8e3d55bdd13b4ab9f40b107e3d1dee3ae74939d6bfacb11cf3e461028a1d762c834771cecacd1cd0cb49ae3d85efca9dab9ae6
Homepage: https://cran.r-project.org/package=behaviorchange
Description: CRAN Package 'behaviorchange' (Tools for Behavior Change Researchers and Professionals)
 Contains specialised analyses and visualisation tools for behavior change
 science.  These facilitate conducting determinant studies (for example,
 using confidence interval-based estimation of relevance, CIBER, or CIBERlite
 plots, see Crutzen, Noijen & Peters (2017) <doi:10/ghtfz9>), systematically
 developing, reporting, and analysing interventions (for example, using
 Acyclic Behavior Change Diagrams), and reporting about intervention
 effectiveness (for example, using the Numbers Needed for Change, see
 Gruijters & Peters (2017) <doi:10/jzkt>), and computing the required sample
 size (using the Meaningful Change Definition, see Gruijters & Peters (2020)
 <doi:10/ghpnx8>).  This package is especially useful for researchers in the
 field of behavior change or health psychology and to behavior change
 professionals such as intervention developers and prevention workers.

Package: r-cran-behavr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-behavr_0.3.3-1.ca2004.1_all.deb
Size: 72440
MD5sum: b2d6c7e7d37c31bded7882de088e71fd
SHA1: f2172e35b58205b0659831728ecdb0d74265ef8f
SHA256: b3fc668e078ac7bc04260416a35ceed90996ff6c2ff7dc916e3e8e57285a9c4d
SHA512: a98b7815ebd1195fd998abfe13790c1933e50b09a004b4baf1beda04cd057700ddf519cf487c1fd95ef45b2322142344a5da8f8e5fa059187c366548578b65b7
Homepage: https://cran.r-project.org/package=behavr
Description: CRAN Package 'behavr' (Canonical Data Structure for Behavioural Data)
 Implements an S3 class based on 'data.table' to store and process
 efficiently ethomics (high-throughput behavioural) data.

Package: r-cran-belex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-belex_0.1.0-1.ca2004.1_all.deb
Size: 18356
MD5sum: bf12a6413c3d64c0b935ba1288427be5
SHA1: 5fcd9c4528a38f4fc0e4adcace37d11c60e6e1b0
SHA256: d59bd106f6f5fb94d724e708d9cb7c995494ff6496dc305c9db90abf613ea1cc
SHA512: 3dd96b81e2f688bd60de09c66faadb9601c458d256cb157d2c6fa70a8c9232e57b2ed1fa4bc838136faad4d7661bf8682112ca6615400ab62199e9e99feadb68
Homepage: https://cran.r-project.org/package=belex
Description: CRAN Package 'belex' (Download Historical Data from the Belgrade Stock Exchange)
 Tools for downloading historical financial data from the www.belex.rs.

Package: r-cran-belikelihood
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-nlme, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-belikelihood_1.1-1.ca2004.1_all.deb
Size: 329316
MD5sum: 99d6dd9c7a0eb26627fc11a739523dec
SHA1: d482b55158dc75466777e136edb79962fc5ca3f4
SHA256: 739ae3c6ab00694dbaa96c623b0a4389ee11a015cd5ad7f526d160ba2b6383a4
SHA512: a5203bbb4c2a25bb86ed60faac296cbc511266e3404a7aa774edd1f4214357d6aad38910ba3b23105fa22e29758b9fa10e2ddb018fbc728bdec37f2f197babf6
Homepage: https://cran.r-project.org/package=BElikelihood
Description: CRAN Package 'BElikelihood' (Likelihood Method for Evaluating Bioequivalence)
 A likelihood method is implemented to present evidence for evaluating
 bioequivalence (BE). The functions use bioequivalence data [area under the
 blood concentration-time curve (AUC) and peak concentration (Cmax)] from
 various crossover designs commonly used in BE studies including a fully
 replicated, a partially replicated design, and a conventional 2x2 crossover
 design. They will calculate the profile likelihoods for the mean difference,
 total standard deviation ratio, and within subject standard deviation ratio
 for a test and a reference drug. A plot of a standardized profile likelihood
 can be generated along with the maximum likelihood estimate and likelihood
 intervals, which present evidence for bioequivalence. See Liping Du and
 Leena Choi (2015) <doi:10.1002/pst.1661>.

Package: r-cran-benchden
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-benchden_1.0.8-1.ca2004.1_all.deb
Size: 129452
MD5sum: 240069a6b4ca89d9660649bedfd46487
SHA1: c8b3846a750ea1fdf25e2f1d9fcd32d4e7bd9aa4
SHA256: e883945b80df921c608cf9715e47e51a5aad32e8bb3a9934ff5f5eb9b2b35906
SHA512: bcc77230e79db90a3d64d4b3ef6a622078ef916c2ae385d5ec47b88b1ab1ec9b5b1516170c8326d7408cea1d13a4c77cb509ffe17ac37b345eda50099d403ea7
Homepage: https://cran.r-project.org/package=benchden
Description: CRAN Package 'benchden' (28 Benchmark Densities from Berlinet/Devroye (1994))
 Full implementation of the 28 distributions introduced as benchmarks for
 nonparametric density estimation by Berlinet and Devroye (1994)
 <https://hal.science/hal-03659919>. Includes densities, cdfs, quantile
 functions and generators for samples as well as additional information on
 features of the densities. Also contains the 4 histogram densities used in
 Rozenholc/Mildenberger/Gather (2010) <doi:10.1016/j.csda.2010.04.021>.

Package: r-cran-benchmarkme
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-benchmarkmedata, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-httr, r-cran-matrix, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-rcppziggurat, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-benchmarkme_1.0.8-1.ca2004.1_all.deb
Size: 119424
MD5sum: c067bb296d1d24122815873a3197a574
SHA1: ab43773ba97544c30d170b92320881a0ca63864b
SHA256: 3fafd8f16d271a88224ad0c52d701568b967d97ac918f179b2a3b179cbefba84
SHA512: b5d3a848c2529a850200faf3eb8ca0059538ca423ae2eb9a38de34f93be56d4741544cd7cb94f7fb0144d5a4db331a562cea6e28410323a57f00052e577931d9
Homepage: https://cran.r-project.org/package=benchmarkme
Description: CRAN Package 'benchmarkme' (Crowd Sourced System Benchmarks)
 Benchmark your CPU and compare against other CPUs.  Also provides functions
 for obtaining system specifications, such as RAM, CPU type, and R version.

Package: r-cran-benchmarkmedata
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-benchmarkme, r-cran-covr, r-cran-dt, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-benchmarkmedata_1.0.4-1.ca2004.1_all.deb
Size: 285372
MD5sum: 4cbdfe9f03a1f354bcb8cec013df078d
SHA1: 7adc8330cc7174c314f5129d390308599e8f274f
SHA256: b3188800933d28226f1722c702b242aadbd434f8ba78a973ad0f4321d0b41076
SHA512: 10f21a6e36a860e1dae5682ebfe7601d7b6b56d321f1ca3157d6c3b081c68e657b653b997fa8e502cf3cbca61c3623f677b23c91a70430df4c2ecc4690e38e02
Homepage: https://cran.r-project.org/package=benchmarkmeData
Description: CRAN Package 'benchmarkmeData' (Data Set for the 'benchmarkme' Package)
 Crowd sourced benchmarks from running the 'benchmarkme' package.

Package: r-cran-bend
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-label.switching, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-bend_1.0-1.ca2004.1_all.deb
Size: 204252
MD5sum: 8beae8bfd2a3846ad5e28e0ced2f2987
SHA1: 4a97c28881a0fad9f84b40d34deb5ab9729195a6
SHA256: 4ab81f8a67090eee40c95a2610b7f4f7fc32d5afdff5d3d29ff8a1c225b05dde
SHA512: 8068e36c6ea09087f2793f626f7de7b63b92efdaed81fa624af99685fd688f5e5aa0dd3fb472f0833ba24e15f774a3bbf357e03ae1891de001b595d1f26c499f
Homepage: https://cran.r-project.org/package=BEND
Description: CRAN Package 'BEND' (Bayesian Estimation of Nonlinear Data (BEND))
 Provides a set of models to estimate nonlinear longitudinal data using
 Bayesian estimation methods. These models include the: 1) Bayesian Piecewise
 Random Effects Model (Bayes_PREM()) which estimates a piecewise random
 effects (mixture) model for a given number of latent classes and a latent
 number of possible changepoints in each class, and can incorporate class and
 outcome predictive covariates (see Lamm (2022)
 <https://hdl.handle.net/11299/252533> and Lock et al., (2018)
 <doi:10.1007/s11336-017-9594-5>), 2) Bayesian Crossed Random Effects Model
 (Bayes_CREM()) which estimates a linear, quadratic, exponential, or
 piecewise crossed random effects models where individuals are changing
 groups over time (e.g., students and schools; see Rohloff et al., (2024)
 <doi:10.1111/bmsp.12334>), and 3) Bayesian Bivariate Piecewise Random
 Effects Model (Bayes_BPREM()) which estimates a bivariate piecewise random
 effects model to jointly model two related outcomes (e.g., reading and math
 achievement; see Peralta et al., (2022) <doi:10.1037/met0000358>).

Package: r-cran-bender
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-bender_0.1.1-1.ca2004.1_all.deb
Size: 42448
MD5sum: 4b8042cdc57d62922184a71525c456df
SHA1: eb2e59b738de3fb36c3b9de52b1e03d8922d33bc
SHA256: 50c9f715c66eb818be923f8644221b79c22fb7685ad5a55d399917821ba8c823
SHA512: f0457fc9c861941d2a3e0e4b2e119c4b9636b79947639ca655907ee9fa17b1d9f6008a0557332529ece14294629919c836aabaf87166d368a8f15900bae817a8
Homepage: https://cran.r-project.org/package=bender
Description: CRAN Package 'bender' (Bender Client)
 R client for Bender Hyperparameters optimizer : <https://bender.dreem.com>
 The R client allows you to communicate with the Bender API and therefore
 submit some new trials within your R script itself.

Package: r-cran-benford.analysis
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1509
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-benford.analysis_0.1.5-1.ca2004.1_all.deb
Size: 1510376
MD5sum: 7ba5a3306395cdc69a536d506b6f3894
SHA1: 3eae3b7b603418879826e834a49299deba2b9627
SHA256: b5e1f41952c437ed533d218b54b534ee16600f1d895394f9aa751c671e50f5cf
SHA512: 6b381037f517ec0bd874cfbfb67d1127d7ffd9eb508aafa90dfa7854b7b4318edf97c0c75e38e50855c8ebda40977729a050b9a09712175896c67459c5b2fe9c
Homepage: https://cran.r-project.org/package=benford.analysis
Description: CRAN Package 'benford.analysis' (Benford Analysis for Data Validation and Forensic Analytics)
 Provides tools that make it easier to validate data using Benford's Law.

Package: r-cran-benford
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-benford_1.0.1-1.ca2004.1_all.deb
Size: 18924
MD5sum: 2a40965bc32c628ea4c5c41b0621ebcb
SHA1: a2dc4c5f020fa39c070520fd18cbf0ad7fad1ab3
SHA256: 79aa6b7830ba96335d54ddb611f3cf6a83ea120da7a0ae1f927b67c161330e96
SHA512: e37e493c8cff810a0aca150f6e3acbf6ba2a36ee8d608310886dd4deaddc9b02e3de8cb929870669f03e1557f25eedcdcad35c519d6f7727cc01d924e5ea3417
Homepage: https://cran.r-project.org/package=benford
Description: CRAN Package 'benford' (Benford's Analysis on Large Data Sets)
 Perform the Benford's Analysis to a data set in order to evaluate if it
 contains human fabricated data. For more details on the method see Moreau,
 2021, Model Assist. Statist. Appl., 16 (2021) 73–79.
 <doi:10.3233/MAS-210517>.

Package: r-cran-benmmi
Architecture: all
Version: 4.3-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-benthos, r-cran-readr, r-cran-purrr, r-cran-knitr, r-cran-markdown, r-cran-jsonlite, r-cran-xtable, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-deoptim
Filename: pool/dists/focal/main/r-cran-benmmi_4.3-7-1.ca2004.1_all.deb
Size: 835624
MD5sum: abf9c0b9f5fb47b7e83dcb0230ca06e4
SHA1: afe3c86e3b0a925a8f96562d25e81a62025a685f
SHA256: 348ae2117304102bf6ec30c343454487bcef40e04d87e6579ce20085fcb59cad
SHA512: cf68eaec31b6a26437cc7faf66fa9e8a3c30f854f0c67b57ddaa122ba8fcb36474486a4e2aba8828778bc667df4710ddaf8700cda8f37dcc4543b36edcde60d4
Homepage: https://cran.r-project.org/package=BENMMI
Description: CRAN Package 'BENMMI' (Benthic Multi-Metric Index)
 Analysis tool for evaluating benthic multimetric indices (BENMMIs).  It
 generates reproducible reports on the analysis of benthic data, e.g.,
 validation and correction of species names, sample pooling, automatic
 conversion of genus to species names, outlier detection, benthic indicator
 calculation, optimization of single and multimetric indicators against a
 pressure gradient, and spatial aggregation of benthic indicators. One of its
 use cases was the development of a common benthic indicator for
 <https://www.ospar.org> (publication accepted by Ecological Indicators). See
 Van Loon et al. (2018) <doi:10.1016/j.ecolind.2017.09.029> for details.

Package: r-cran-bentcablear
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bentcablear_0.3.1-1.ca2004.1_all.deb
Size: 141732
MD5sum: 7b54a11d96bd7ace007a5e3be0e9ace6
SHA1: 6f1248be2415a7d977607e711956c56ec5297dcc
SHA256: 2a2150080c64a41e80f8c5a43d9d3d0a5063e59067e228a4bdb98e1a65ffef43
SHA512: f252d1531cee8a9a8a30926fb3215f6aac0721a7920d4c5a56acfdb642de7b7b7405092cbdf4e5ad8cdbb501d4e130a7b1f7643cc4536c081b7fc9878034a56e
Homepage: https://cran.r-project.org/package=bentcableAR
Description: CRAN Package 'bentcableAR' (Bent-Cable Regression for Independent Data or AutoregressiveTime Series)
 Included are two main interfaces, bentcable.ar() and bentcable.dev.plot(),
 for fitting and diagnosing bent-cable regressions for autoregressive
 time-series data (Chiu and Lockhart 2010, <doi:10.1002/cjs.10070>) or
 independent data (time series or otherwise - Chiu, Lockhart and Routledge
 2006, <doi:10.1198/016214505000001177>). Some components in the package can
 also be used as stand-alone functions. The bent cable
 (linear-quadratic-linear) generalizes the broken stick (linear-linear),
 which is also handled by this package. Version 0.2 corrected a glitch in the
 computation of confidence intervals for the CTP. References that were
 updated from Versions 0.2.1 and 0.2.2 appear in Version 0.2.3 and up.
 Version 0.3.0 improved robustness of the error-message producing mechanism.
 Version 0.3.1 improves the NAMESPACE file of the package. It is the author's
 intention to distribute any future updates via GitHub.

Package: r-cran-benthos
Architecture: all
Version: 1.3-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1288
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-lazyeval, r-cran-readr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-benthos_1.3-8-1.ca2004.1_all.deb
Size: 881552
MD5sum: b156734e78f565014a442bdec1f2aff9
SHA1: 118e699ec3b8f0a4be4b80702a8af4b15f423691
SHA256: a1f0130e7dc0ce42bf013298202e66cc8740033d5e2bdf1581ede09d03021510
SHA512: ebdce02921b69f505b479635e9e29aad1bcc464de5f432165f6c72fed41c81408ab22b90d35e04d250f8d265e6d1b1a857f1172263970520c6ca8e57c95daa17
Homepage: https://cran.r-project.org/package=benthos
Description: CRAN Package 'benthos' (Marine Benthic Ecosystem Analysis)
 Preprocessing tools and biodiversity measures (species abundance, species
 richness, population heterogeneity and sensitivity) for analysing marine
 benthic data. See Van Loon et al.  (2015) <doi:10.1016/j.seares.2015.05.002>
 for an application of these tools.

Package: r-cran-bequt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-jagsui, r-cran-lqmm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bequt_0.1.0-1.ca2004.1_all.deb
Size: 142896
MD5sum: 24d885401dc9ef5cf8fbcd8ab235a234
SHA1: b51bfb21fff911f6a477488d5263ae3b6e008274
SHA256: 62dd7abf1b606aa2549bdb2c68fa22dd8137bb140bbb88048c67d0328f61abfc
SHA512: a6e07988abdeb6de872efa93a0f9f4299bc897e7cc90660f874a68c05155cbb7e80de9f4b8c372d2780176bb3c4c7ebf46cf1a50466217f8b05597067b4b7eb7
Homepage: https://cran.r-project.org/package=BeQut
Description: CRAN Package 'BeQut' (Bayesian Estimation for Quantile Regression Mixed Models)
 Using a Bayesian estimation procedure, this package fits linear quantile
 regression models such as linear quantile models, linear quantile mixed
 models, quantile regression joint models for time-to-event and longitudinal
 data. The estimation procedure is based on the asymmetric Laplace
 distribution and the 'JAGS' software is used to get posterior samples (Yang,
 Luo, DeSantis (2019) <doi:10.1177/0962280218784757>).

Package: r-cran-bergm
Architecture: all
Version: 5.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ergm, r-cran-coda, r-cran-matrix, r-cran-matrixcalc, r-cran-mcmcpack, r-cran-mvtnorm, r-cran-network, r-cran-rglpk, r-cran-statnet.common
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-bergm_5.0.7-1.ca2004.1_all.deb
Size: 120756
MD5sum: 9efcd05326e32f9f671def427322303c
SHA1: 113c8990b459ce24049617876775301a12dc5e85
SHA256: 359d487066d3e8fa68295c360b3fd476d950c10b723e62155f855b9130c3cea4
SHA512: 4fe8a4ff43c5bb2311f4f6ac6db1fc651dbd85e7afa55ece52585ec8ad1ae5ba83de10be73cfa5b7aa87fc9ce0bc07d8695f613842d96fdd59fa95675261eae6
Homepage: https://cran.r-project.org/package=Bergm
Description: CRAN Package 'Bergm' (Bayesian Exponential Random Graph Models)
 Bayesian analysis for exponential random graph models using advanced
 computational algorithms. More information can be found at:
 <https://acaimo.github.io/Bergm/>.

Package: r-cran-berkeleyforestsanalytics
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2034
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-berkeleyforestsanalytics_2.0.4-1.ca2004.1_all.deb
Size: 1725320
MD5sum: d1a931040d9bbb71bfc3ac910fda1500
SHA1: 0c640f96a425f11e0bd304cf49134cf1261d7b24
SHA256: 9ec4187d9ad8c652ae9d129dbe291389954ff0694dda7e7a8fc8dc4b0d854fb4
SHA512: 4ccba8f2a96d0853268e0305e3f9f7d03b627971dd78a865d7e60e7e31e2b2a618f98e0565936b3c2a4db9ef7519f9d92f8af74ebfa5beabb2421f5a34597b8d
Homepage: https://cran.r-project.org/package=BerkeleyForestsAnalytics
Description: CRAN Package 'BerkeleyForestsAnalytics' (Compute and Summarize Core Forest Metrics from Field Data)
 A suite of open-source R functions designed to produce standard metrics for
 forest management and ecology from forest inventory data. The overarching
 goal is to minimize potential inconsistencies introduced by the algorithms
 used to compute and summarize core forest metrics. Learn more about the
 purpose of the package and the specific algorithms used in the package at
 <https://github.com/kearutherford/BerkeleyForestsAnalytics>.

Package: r-cran-berryfunctions
Architecture: all
Version: 1.22.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1602
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind
Suggests: r-cran-rcolorbrewer, r-cran-pbapply, r-cran-knitr, r-cran-rmarkdown, r-cran-gstat, r-cran-rcurl, r-cran-colorspace, r-cran-vioplot, r-cran-spatstat.geom, r-cran-ade4, r-cran-nortest, r-cran-rstudioapi, r-cran-leaflet, r-cran-leaflet.extras, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-berryfunctions_1.22.5-1.ca2004.1_all.deb
Size: 1175324
MD5sum: 3198b9eeb5bd248f3ee429620b3dd746
SHA1: e82bebc48e9d295ef87370d9023b6e007795cb42
SHA256: d9641aeb8f4ede44bef5b53394d12510f76a1748e55a99ca351334a492389cc0
SHA512: d7ae488278a70b9a2ecdace4bd170393616e041315dced2ffbecf6d84e8040cc868809a12ac6a53b6a4ba7ba11a38b108d7fe672a41cdae40b616850b4125ebe
Homepage: https://cran.r-project.org/package=berryFunctions
Description: CRAN Package 'berryFunctions' (Function Collection Related to Plotting and Hydrology)
 Draw horizontal histograms, color scattered points by 3rd dimension, enhance
 date- and log-axis plots, zoom in X11 graphics, trace errors and warnings,
 use the unit hydrograph in a linear storage cascade, convert lists to
 data.frames and arrays, fit multiple functions.

Package: r-cran-best
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hdinterval, r-cran-coda, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-best_0.5.4-1.ca2004.1_all.deb
Size: 512180
MD5sum: bb4d809b96023c86705162766984fcaf
SHA1: 6274bb39cd898708188a0eb664776606d3746478
SHA256: e0fbb16a3b579504b1dd00bf0aea9098fa0e5789c0870a79e5bf7e1c88f290a0
SHA512: 189dd05adfa96dac5a80284739eb639aa60dad038f9259621c7289610145332785419f8c82f23363da892d603c3c48708e706918e29b94115ad36ba65453ca3e
Homepage: https://cran.r-project.org/package=BEST
Description: CRAN Package 'BEST' (Bayesian Estimation Supersedes the t-Test)
 An alternative to t-tests, producing posterior estimates for group means and
 standard deviations and their differences and effect sizes. It implements
 the method of Kruschke (2013) Bayesian estimation supersedes the t test.
 Journal of Experimental Psychology: General, 142(2):573-603 <doi:
 10.1037/a0029146>.

Package: r-cran-besthr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 772
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-magrittr, r-cran-patchwork, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-besthr_0.3.2-1.ca2004.1_all.deb
Size: 462984
MD5sum: a9d8da9b69273d954a3ead4c27aff9f6
SHA1: 340652a9a399f71a2a287e4d1d4c0bb5b76ac400
SHA256: 105da3a24360e1f6b922715f5bcae0aba8bdae449b0e26d5ecf423b3d51b7384
SHA512: 2ca0e78f0eb185d025605e8d32dae714f9b666a3e6d83e3c06d2e851d75c5ab304627cdd01c754f8df2043fa9e6498a59019f6262da43147fca6c24e40062de3
Homepage: https://cran.r-project.org/package=besthr
Description: CRAN Package 'besthr' (Generating Bootstrap Estimation Distributions of HR Data)
 Creates plots showing scored HR experiments and plots of distribution of
 means of ranks of HR score from bootstrapping. Authors (2019)
 <doi:10.5281/zenodo.3374507>.

Package: r-cran-bestnormalize
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1670
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lambertw, r-cran-nortest, r-cran-dplyr, r-cran-doparallel, r-cran-foreach, r-cran-dorng, r-cran-recipes, r-cran-tibble, r-cran-butcher, r-cran-purrr, r-cran-generics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-testthat, r-cran-mgcv, r-cran-ggplot2, r-cran-scales, r-cran-rlang, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bestnormalize_1.9.1-1.ca2004.1_all.deb
Size: 1020484
MD5sum: c3862b5d1eaa951dae07dc979ca7a0f9
SHA1: a902f0dbe0b3c9445a263cbef709e76970f769bf
SHA256: a3c4eee19bd9c6af525a021263b494fb039baca7fa9c5aceaca9ee6775bc8879
SHA512: 93a3955978601d7fdde3bd318f0e2ffc62487d1dc7d64270e666785796252a7a5ced24ee6f5132cba361b7c8903466120b62b6583f7d0472aeb47d1e03de3a28
Homepage: https://cran.r-project.org/package=bestNormalize
Description: CRAN Package 'bestNormalize' (Normalizing Transformation Functions)
 Estimate a suite of normalizing transformations, including a new adaptation
 of a technique based on ranks which can guarantee normally distributed
 transformed data if there are no ties: ordered quantile normalization (ORQ).
 ORQ normalization combines a rank-mapping approach with a shifted logit
 approximation that allows the transformation to work on data outside the
 original domain. It is also able to handle new data within the original
 domain via linear interpolation. The package is built to estimate the best
 normalizing transformation for a vector consistently and accurately. It
 implements the Box-Cox transformation, the Yeo-Johnson transformation, three
 types of Lambert WxF transformations, and the ordered quantile normalization
 transformation. It estimates the normalization efficacy of other commonly
 used transformations, and it allows users to specify custom transformations
 or normalization statistics. Finally, functionality can be integrated into a
 machine learning workflow via recipes.

Package: r-cran-bestree
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bestree_0.5.2-1.ca2004.1_all.deb
Size: 191100
MD5sum: e2ecc16c150531f3f9d68c5c2521b47c
SHA1: 817a5f539bc95263c8499a239985ac65b8fbbe38
SHA256: a022a6e4b57b9f96772170a45abed974c2400be8a41b1a7c9e43332c2b07f555
SHA512: cd6262c9b4076f8efec37a6674b0fb28d79cf42bf46e26b8210a8343e5e10b82eb844ed64285b99f9ddf9dd0f7963407e436b0379835335b3e0c5c0e59a91acc
Homepage: https://cran.r-project.org/package=BESTree
Description: CRAN Package 'BESTree' (Branch-Exclusive Splits Trees)
 Decision tree algorithm with a major feature added. Allows for users to
 define an ordering on the partitioning process.  Resulting in
 Branch-Exclusive Splits Trees (BEST). Cedric Beaulac and Jeffrey S.
 Rosentahl (2019) <arXiv:1804.10168>.

Package: r-cran-bestsdp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinybs, r-cran-shinyjs, r-cran-tidyr, r-cran-dplyr, r-cran-readxl, r-cran-ggplot2, r-cran-rlist, r-cran-dt, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-bestsdp_0.1.2-1.ca2004.1_all.deb
Size: 168472
MD5sum: 23b9fb1c953ed32e51f23b0b6f95a1db
SHA1: 09904d10abad0b2afc83c9ad222fa7ab9169f3f9
SHA256: 31c08eb29f1c62f4d74038163904a0fc19ddff8d452b625ce3e55387f091fd96
SHA512: c9ecb43061dcce4ddaf8abd1eaaddfb913c5e31037464c13f8d5d5ec7e5dc13a02ed02f2cdbe55504c0a9cd9a956128debeb5edf371e57b465b4ecde605ebf6e
Homepage: https://cran.r-project.org/package=bestSDP
Description: CRAN Package 'bestSDP' (Burden Estimate of Common Communicable Diseases in Settlementsof Displaced Populations)
 Provides a practical tool for estimating the burden of common communicable
 diseases in settlements of displaced populations. An online version of the
 tool can be found at <http://who-refugee-bod.ecdf.ed.ac.uk/shiny/app/>.
 Estimates of burden of disease aim to synthesize data about cause-specific
 morbidity and mortality through a systematic approach that enables
 evidence-based decisions and comparisons across settings. The focus of this
 tool is on four acute communicable diseases and syndromes, including Acute
 respiratory infections, Acute diarrheal diseases, Acute jaundice syndrome
 and Acute febrile illnesses.

Package: r-cran-betabit
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3501
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest
Suggests: r-cran-xml, r-cran-sp, r-cran-raster, r-cran-dalex, r-cran-ggplot2, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-betabit_2.2-1.ca2004.1_all.deb
Size: 3254296
MD5sum: 8cbe217bd142507ebcff0d6193957462
SHA1: 48bcdc8b2f6368bca2903680cff65e98b74bbb0c
SHA256: 9c9ac8d201e73cd15d55a76ba109933ce572b369dabd6005ae53147b0fc54e32
SHA512: 157c5ef0132d312515ca45eb957c89090a554b5acc2631964ba35a0c7d16e0032291baebe9e78729fdefb8aeea032e16e2a2c5f7e0b257475a215054a6ab9da8
Homepage: https://cran.r-project.org/package=BetaBit
Description: CRAN Package 'BetaBit' (Mini Games from Adventures of Beta and Bit)
 Three games: proton, frequon and regression. Each one is a console-based
 data-crunching game for younger and older data scientists.  Act as a
 data-hacker and find Slawomir Pietraszko's credentials to the Proton server.
 In proton you have to solve four data-based puzzles to find the login and
 password.  There are many ways to solve these puzzles. You may use loops,
 data filtering, ordering, aggregation or other tools.  Only basics knowledge
 of R is required to play the game, yet the more functions you know, the more
 approaches you can try.  In frequon you will help to perform statistical
 cryptanalytic attack on a corpus of ciphered messages.  This time seven
 sub-tasks are pushing the bar much higher. Do you accept the challenge?  In
 regression you will test your modeling skills in a series of eight
 sub-tasks.  Try only if ANOVA is your close friend.  It's a part of Beta and
 Bit project.  You will find more about the Beta and Bit project at
 <https://github.com/BetaAndBit/Charts>.

Package: r-cran-betacal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-betacal_0.1.0-1.ca2004.1_all.deb
Size: 14940
MD5sum: ee08a228eb249edfb7ff63d2588aafaa
SHA1: fe08d02f080066359a6fea55bd5facd5172668ce
SHA256: f0567e7a30e1adf9e2c386329330784971768cff43afc6a7f01a01d5ead1d176
SHA512: 4e4e6e17e7d564e9835f9c56481f005c34826c96da5c523bb99aa857e353a7fb3ad7006b45426f9906822c046c5400a5cf760698aa58ccf42d00a82b853e64cf
Homepage: https://cran.r-project.org/package=betacal
Description: CRAN Package 'betacal' (Beta Calibration)
 Fit beta calibration models and obtain calibrated probabilities from them.

Package: r-cran-betadelta
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-betasandwich
Filename: pool/dists/focal/main/r-cran-betadelta_1.0.5-1.ca2004.1_all.deb
Size: 96628
MD5sum: 551c0ce1f901f45c2fc77dd6d776a10a
SHA1: 2a4ae806af8ff97b571d566f1979eab5b2ed36cc
SHA256: dbe2772283a2855358c65afce1075b9c3efbc84e12a5b6f543a455841c380fad
SHA512: 07827c2faf6c90e27eac37655aad617cbe363b7498c4824b3e0e2675231f52fff76cebb94def248c7f326bbfe32905dab241ef97eed4f00fc1b302f69a00eb4f
Homepage: https://cran.r-project.org/package=betaDelta
Description: CRAN Package 'betaDelta' (Confidence Intervals for Standardized Regression Coefficients)
 Generates confidence intervals for standardized regression coefficients
 using delta method standard errors for models fitted by lm() as described in
 Yuan and Chan (2011) <doi:10.1007/s11336-011-9224-6> and Jones and Waller
 (2015) <doi:10.1007/s11336-013-9380-y>.  The package can also be used to
 generate confidence intervals for differences of standardized regression
 coefficients and as a general approach to performing the delta method.  A
 description of the package and code examples are presented in Pesigan, Sun,
 and Cheung (2023) <doi:10.1080/00273171.2023.2201277>.

Package: r-cran-betafunctions
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-betafunctions_1.9.0-1.ca2004.1_all.deb
Size: 306108
MD5sum: c85da6ec0f836464364464bc3bb325b3
SHA1: 1a3eced721e53db6533a884a48deb7ca63c0b0c3
SHA256: 9fdc88772a5b077806e9e8b350ca107cc5fc81fa5dc848c274c0bb9f060bd5a1
SHA512: 796c291a6315b94a948716c4ffcc76780154eb1cb6342cd57ef2fd792b8b4e2bcfdef8a7b09a02a3df82748b7e8492edeac11c2ef581b73f89a604ed0737b2c8
Homepage: https://cran.r-project.org/package=betafunctions
Description: CRAN Package 'betafunctions' (Functions for Working with Two- And Four-Parameter BetaProbability Distributions and Psychometric Analysis ofClassifications)
 Package providing a number of functions for working with Two- and
 Four-parameter Beta and closely related distributions (i.e., the Gamma-
 Binomial-, and Beta-Binomial distributions).  Includes, among other things:
 - d/p/q/r functions for Four-Parameter Beta distributions and Generalized
 "Binomial" (continuous) distributions, and d/p/r- functions for Beta-
 Binomial distributions.  - d/p/q/r functions for Two- and Four-Parameter
 Beta distributions parameterized in terms of their means and variances
 rather than their shape-parameters.  - Moment generating functions for
 Binomial distributions, Beta-Binomial distributions, and observed value
 distributions.  - Functions for estimating classification accuracy and
 consistency, making use of the Classical Test-Theory based 'Livingston and
 Lewis' (L&L) and 'Hanson and Brennan' approaches.  A shiny app is available,
 providing a GUI for the L&L approach when used for binary classifications.
 For url to the app, see documentation for the LL.CA() function.  Livingston
 and Lewis (1995) <doi:10.1111/j.1745-3984.1995.tb00462.x>.  Lord (1965)
 <doi:10.1007/BF02289490>.  Hanson (1991)
 <https://files.eric.ed.gov/fulltext/ED344945.pdf>.

Package: r-cran-betalink
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-stringr, r-cran-igraph
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-betalink_2.2.1-1.ca2004.1_all.deb
Size: 57820
MD5sum: 07df2cf9b09db8fc374d08921247afe0
SHA1: 4e0c22344d434cdf0cef1cfcb9048d2b5e1ff0c8
SHA256: 4a9a1d1f8984624864756e3e371a0a74c8c0b6c5787b8e593a9ac541442ca9fb
SHA512: 1276c24cc2bd8b08fa158ab2204148eff60cf7ac9013cb3a954b7b042fee3577b3e20d05a95f00ab9110193e243e11dc31c5263b6077a0be8ddfe47582f6b9b9
Homepage: https://cran.r-project.org/package=betalink
Description: CRAN Package 'betalink' (Beta-Diversity of Species Interactions)
 Measures of beta-diversity in networks, and easy visualization of why two
 networks are different.

Package: r-cran-betamc
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-mice, r-cran-amelia
Filename: pool/dists/focal/main/r-cran-betamc_1.3.2-1.ca2004.1_all.deb
Size: 133408
MD5sum: 60dfac5f949cd2c0aa411da1c8f07a19
SHA1: c1156b41ca5e0045ca0f9cd1919085d82c2bedbc
SHA256: fdeadae4ce6d791d01d6539d06be81f305d15a32a0cab041807380fc5085e539
SHA512: 6ea1e432026a8905ef13bd7ffa3956b625413690b41f45b59ab906bd5f5857c868fea2bfaff4360773803e53c2430e25994cb7a5f01da5705db63e87a45c20e9
Homepage: https://cran.r-project.org/package=betaMC
Description: CRAN Package 'betaMC' (Monte Carlo for Regression Effect Sizes)
 Generates Monte Carlo confidence intervals for standardized regression
 coefficients (beta) and other effect sizes, including multiple correlation,
 semipartial correlations, improvement in R-squared, squared partial
 correlations, and differences in standardized regression coefficients, for
 models fitted by lm().  'betaMC' combines ideas from Monte Carlo confidence
 intervals for the indirect effect (Pesigan and Cheung, 2023
 <doi:10.3758/s13428-023-02114-4>) and the sampling covariance matrix of
 regression coefficients (Dudgeon, 2017 <doi:10.1007/s11336-017-9563-z>) to
 generate confidence intervals effect sizes in regression.

Package: r-cran-betanb
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-betanb_1.0.5-1.ca2004.1_all.deb
Size: 88072
MD5sum: 52f7f6e167e843fd53704934eab6b848
SHA1: 3669d2da7eb744e6eed827f264d94eb890a21d2e
SHA256: 767c095ae515694128b2ee475bc381667dacfc43b9a0a6f9bf3c96941ee2deef
SHA512: ec530599e9ed0b28c0025a4e869d71bcaef8777ff1b1b2c3adb4d3a4767164d10db3e5afd78f5be0eff42e07c208c197abe09792531edd63eaadfa65d7e36d22
Homepage: https://cran.r-project.org/package=betaNB
Description: CRAN Package 'betaNB' (Bootstrap for Regression Effect Sizes)
 Generates nonparametric bootstrap confidence intervals (Efron and
 Tibshirani, 1993: <doi:10.1201/9780429246593>) for standardized regression
 coefficients (beta) and other effect sizes, including multiple correlation,
 semipartial correlations, improvement in R-squared, squared partial
 correlations, and differences in standardized regression coefficients, for
 models fitted by lm().

Package: r-cran-betapart
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-fastmatch, r-cran-geometry, r-cran-picante, r-cran-rcdd, r-cran-dosnow, r-cran-foreach, r-cran-snow, r-cran-itertools, r-cran-minpack.lm
Suggests: r-cran-vegan
Filename: pool/dists/focal/main/r-cran-betapart_1.6-1.ca2004.1_all.deb
Size: 265552
MD5sum: f540c726d0e8fc1b328dd5b1d7b0862c
SHA1: 9e511d61e847f4c371cbcd9d814a8e1c30dc43b4
SHA256: 3943c41ff0f5aaae05d2e181fc8b3c72263ed55239922eda08423585f5c245cb
SHA512: 75684e2e43c7031829c91ee5e01f42b73873015f9cf4d870a6c3e515415d23bb90c140541d9f96f1881963bd89bc9e0a84f499eb5e73b3f7b34a9909b47495e5
Homepage: https://cran.r-project.org/package=betapart
Description: CRAN Package 'betapart' (Partitioning Beta Diversity into Turnover and NestednessComponents)
 Functions to compute pair-wise dissimilarities (distance matrices) and
 multiple-site dissimilarities, separating the turnover and
 nestedness-resultant components of taxonomic (incidence and abundance
 based), functional and phylogenetic beta diversity.

Package: r-cran-betapass
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-betareg, r-cran-ggplot2, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-betapass_1.1-2-1.ca2004.1_all.deb
Size: 70520
MD5sum: a75ce13d51dbd03663a5a4a40b8cf5ea
SHA1: 789be0bad09b301a73edc770e93e2916268a7c2b
SHA256: 5f5efd7cc54399a12b508ed2127cc8bde1dbab3dad869a7dbd8cbce1b90619fb
SHA512: 05f2c687b9d3bfc3b1fb44bc21a42368884f05ca3cf940b3df876738975ef95f2193d48ce99678d19d02f9cf4048505d5bd7c84d2692e81749647c938e506b2d
Homepage: https://cran.r-project.org/package=BetaPASS
Description: CRAN Package 'BetaPASS' (Calculate Power and Sample Size with Beta Regression)
 Power calculations are a critical component of any research study to
 determine the minimum sample size necessary to detect differences between
 multiple groups.  Researchers often work with data taking the form of
 proportions that can be modeled with a beta distribution. Here we present an
 R package, 'BetaPASS', that perform power and sample size calculations for
 data following a beta distribution with comparative nonparametric output.
 This package allows flexibility with multiple options for link functions to
 fit the data and graphing functionality for visual comparisons.

Package: r-cran-betaper
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-betaper_1.1-3-1.ca2004.1_all.deb
Size: 108380
MD5sum: 7c741f41db371adfe676fba8250540fc
SHA1: 036dee718995b15ee3f52f6e10b9bda8eac17a3b
SHA256: 973f16d84dd3bc3c5d131eac7ffb03f2d43da4046cc7125cda29c317ddfc71a7
SHA512: 0948239fc73bd1ffb9857bc733eb8cf794ac371565e897d4e7fcefa5e21dfb4d556d6572a572c31b3643b51e29e744b50e1858faaa7ce685d8673c50c067dc2e
Homepage: https://cran.r-project.org/package=betaper
Description: CRAN Package 'betaper' (Taxonomic Uncertainty on Multivariate Analyses of EcologicalData)
 Permutational method to incorporate taxonomic uncertainty and some functions
 to assess its effects on parameters of some widely used multivariate methods
 in ecology, as explained in Cayuela et al. (2011)
 <doi:10.1111/j.1600-0587.2009.05899.x>.

Package: r-cran-betasandwich
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-betadelta
Filename: pool/dists/focal/main/r-cran-betasandwich_1.0.7-1.ca2004.1_all.deb
Size: 115436
MD5sum: b4e128252a981c2852288a786f8f3f4a
SHA1: 33e44345356b2877070bf68c61e717978f0b6b4e
SHA256: a5ea4459f4893e02fda35131d8695a779e5933ddc58fc07ee0d7045f3a8e29c1
SHA512: 001694e24b2d96ca09a43b4a983c50a1cf878024a2e11daea16605d2d77c31a664db4772f45264e3f42a7be83922c27048d804712e51a03381a6a3bdc708ad58
Homepage: https://cran.r-project.org/package=betaSandwich
Description: CRAN Package 'betaSandwich' (Robust Confidence Intervals for Standardized RegressionCoefficients)
 Generates robust confidence intervals for standardized regression
 coefficients using heteroskedasticity-consistent standard errors for models
 fitted by lm() as described in Dudgeon (2017)
 <doi:10.1007/s11336-017-9563-z>.  The package can also be used to generate
 confidence intervals for R-squared, adjusted R-squared, and differences of
 standardized regression coefficients.  A description of the package and code
 examples are presented in Pesigan, Sun, and Cheung (2023)
 <doi:10.1080/00273171.2023.2201277>.

Package: r-cran-betaselectr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-lavaan, r-cran-numderiv, r-cran-manymome, r-cran-pbapply, r-cran-lavaan.printer
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-betaselectr_0.1.2-1.ca2004.1_all.deb
Size: 293284
MD5sum: 97ad8904bf41556e565887cf5ecc3032
SHA1: a063c6529e7cf83fb7463506325db7980d280806
SHA256: b285d8bc7a7f7db6cdad6eb5bfa94edcaae37e5a494bf0dc1c5295e35ea1ff53
SHA512: 65738190aef56e1b49da470ca3dd650893db73d1166a8dcb0045ac16a9d76ffd8c1d086f5bbc794d7abe3cbbe68888d16c99f4d09bf034ac59c5b549eb598eed
Homepage: https://cran.r-project.org/package=betaselectr
Description: CRAN Package 'betaselectr' (Betas-Select in Structural Equation Models and Linear Models)
 It computes betas-select, coefficients after standardization in structural
 equation models and regression models, standardizing only selected
 variables. Supports models with moderation, with product terms formed after
 standardization. It also offers confidence intervals that account for
 standardization, including bootstrap confidence intervals as proposed by
 Cheung et al. (2022) <doi:10.1037/hea0001188>.

Package: r-cran-bethel
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bethel_0.2-1.ca2004.1_all.deb
Size: 136748
MD5sum: 77f96badb0d6f0244aae7d4893bc263f
SHA1: 76bca14f7f550e6341b23b10a175d650feac1da2
SHA256: dea5d4cca74ccd75f528023b9c03589e61924f5852e5a3a52e539e32486376ba
SHA512: 3d5c3a4c50b674f87f5646dac1edd3b3bf69f368c232c2a8f139b9e5208894a5cc03bbe8d4cefd1a13d78b111d03be0f9808dfde9d0098c23fecc23dd911dcfe
Homepage: https://cran.r-project.org/package=bethel
Description: CRAN Package 'bethel' (Bethel's algorithm)
 The sample size according to the Bethel's procedure.

Package: r-cran-bets.covid19
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-bets.covid19_1.0.0-1.ca2004.1_all.deb
Size: 89512
MD5sum: d550ad9031ebc3cde7a2bad8dbda40ed
SHA1: b9a3613b6e0e38beefc124fa435cc8c77fbe7d7f
SHA256: e111763b3ec20818ae6ab71e8b798fe01ba1f36ea0b815a6a6634fbca5cd3fa3
SHA512: a7866621e7384e46572531555af3f16c24efc418aa21eec5a08c4833d189b067559e26aa6446a563946d662b0d423e936a88d4eaad25a5ce06ff4f614292cda4
Homepage: https://cran.r-project.org/package=bets.covid19
Description: CRAN Package 'bets.covid19' (The BETS Model for Early Epidemic Data)
 Implements likelihood inference for early epidemic analysis. BETS is short
 for the four key epidemiological events being modeled: Begin of exposure,
 End of exposure, time of Transmission, and time of Symptom onset. The
 package contains a dataset of the trajectory of confirmed cases during the
 coronavirus disease (COVID-19) early outbreak. More detail of the
 statistical methods can be found in Zhao et al. (2020) <arXiv:2004.07743>.

Package: r-cran-bets
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1776
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grnn, r-cran-ggplot2, r-cran-plotly, r-cran-urca, r-cran-forecast, r-cran-zoo, r-cran-rmarkdown, r-cran-foreign, r-cran-seasonal, r-cran-stringr, r-cran-dygraphs, r-cran-shiny, r-cran-rstudioapi, r-cran-dt, r-cran-webshot, r-cran-rmysql, r-cran-digest, r-cran-dbi, r-cran-rjson, r-cran-rvest, r-cran-xml2, r-cran-lubridate, r-cran-htmltools, r-cran-httr, r-cran-dplyr, r-cran-sqldf
Suggests: r-cran-mfilter, r-cran-devtools, r-cran-xts, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bets_0.4.9-1.ca2004.1_all.deb
Size: 1260348
MD5sum: 9252a15082d1ad32695d9891d911d61b
SHA1: f1777ae18ec4ada732633cb110777c4acfadaca6
SHA256: f9b257895357d06891a435bd084a93de10d1a1417bcbec17f525cdb804a9c47f
SHA512: eb0fbd09cb3603cfaa6c9ec4bb8f4f1b5edd95f1e895a79c0b55fce99e0df8b86b3b00960c50cceffe2b55aca6f6f651595347d15a9c0720a73762d2f16ed727
Homepage: https://cran.r-project.org/package=BETS
Description: CRAN Package 'BETS' (Brazilian Economic Time Series)
 It provides access to and information about the most important Brazilian
 economic time series - from the Getulio Vargas Foundation
 <http://portal.fgv.br/en>, the Central Bank of Brazil
 <http://www.bcb.gov.br> and the Brazilian Institute of Geography and
 Statistics <http://www.ibge.gov.br>. It also presents tools for managing,
 analysing (e.g.  generating dynamic reports with a complete analysis of a
 series) and exporting these time series.

Package: r-cran-betterreg
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-betterreg_0.2.0-1.ca2004.1_all.deb
Size: 128648
MD5sum: c516e97b82590593fe2c450b26f91aee
SHA1: df0c4f52b235f056b06048356cfdaebd9fb53f14
SHA256: 70bc4bb20c90c16a3370bbc6d2b66441ce978fa5f432717a012cfa4e777b4566
SHA512: 42cb87e6ecff5355284b9dfe16adf8f8b03f167a7b4306e541d516edf67e18d18d0ad32215b4f394d012e78ff12fdda7c41fc236737e03063db2aa478447eb86
Homepage: https://cran.r-project.org/package=BetterReg
Description: CRAN Package 'BetterReg' (Better Statistics for OLS and Binomial Logistic Regression)
 Provides squared semi partial correlations, tolerance, Mahalanobis,
 Likelihood Ratio Chi Square, and Pseudo R Square. Aberson, C. L. (2022)
 <doi:10.31234/osf.io/s2yqn>.

Package: r-cran-bexy
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-teachingdemos, r-cran-ternary
Filename: pool/dists/focal/main/r-cran-bexy_0.1.3-1.ca2004.1_all.deb
Size: 138024
MD5sum: 940f88ccddf3c617012577ed08325ebc
SHA1: 74cdbc3d5a463b3a638e6ce59a1b482c401d22b0
SHA256: 22904d9850cdea414f39a09b4e3cbe59315a9180e61b6ab7f6fad769b22e3f98
SHA512: 519c0a81ff7b4a53f7bffe71d2ad5f44263d3fabf9f2b0e6eb7cc8bee378e72450a638b423541ec3eb9c80bc5ad083cf7354ffa7c4f3a5c068d8e54b1423c932
Homepage: https://cran.r-project.org/package=bexy
Description: CRAN Package 'bexy' (Visualize and Parse the Output of 'BeXY')
 Provides functions for summarizing and plotting the output of the
 command-line tool 'BeXY' (<https://bitbucket.org/wegmannlab/bexy>), a tool
 that performs Bayesian inference of sex chromosome karyotypes and sex-linked
 scaffolds from low-depth sequencing data.

Package: r-cran-beyondbenford
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-beyondbenford_1.4-1.ca2004.1_all.deb
Size: 84384
MD5sum: f1a3f4c833999c1644b50e0e6e5d1975
SHA1: 9decb9f49b27109279b6caec3072fb592f65a8e7
SHA256: 03081016139b3bf0aeb743dd3fbb6f63e5767c4cf30cf807c31f16ce5596c788
SHA512: 455f5bba58ae79e23446dfecfe285bb2cb29c6c95048b5c6473ea100d3a3f9ea2aa8d82dac96b7c13c688cd4bb6dcf76c38f34e5c052f06330f9f8c0cae0a0dd
Homepage: https://cran.r-project.org/package=BeyondBenford
Description: CRAN Package 'BeyondBenford' (Compare the Goodness of Fit of Benford's and Blondeau Da Silva'sDigit Distributions to a Given Dataset)
 Allows to compare the goodness of fit of Benford's and Blondeau Da Silva's
 digit distributions in a dataset. It is used to check whether the data
 distribution is consistent with theoretical distributions highlighted by
 Blondeau Da Silva or not (through the dat.distr() function): this ideal
 theoretical distribution must be at least approximately followed by the data
 for the use of Blondeau Da Silva's model to be well-founded. It also enables
 to plot histograms of digit distributions, both observed in the dataset and
 given by the two theoretical approaches (with the digit.ditr() function).
 Finally, it proposes to quantify the goodness of fit via Pearson's
 chi-squared test (with the chi2() function).

Package: r-cran-bezier
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bezier_1.1.2-1.ca2004.1_all.deb
Size: 76428
MD5sum: 6046d107f029d11a80a095e5b3be3ef3
SHA1: 847d9fde1be76ff0762825d04b5776a442e01f0a
SHA256: b28b958f5c2cd380d9ea13a7c70395317ff849a6ffbd7f7beeac48b60b2f9b0d
SHA512: 174c7a8bc863be1b833fdaaedbd84d498736bd12c886a789b21db93d37ea80d2a16f1518e05c41857c3f66658653f2723c064ea5b18edf14f26c4418ae36bf9a
Homepage: https://cran.r-project.org/package=bezier
Description: CRAN Package 'bezier' (Toolkit for Bezier Curves and Splines)
 The bezier package is a toolkit for working with Bezier curves and splines.
 The package provides functions for point generation, arc length estimation,
 degree elevation and curve fitting.

Package: r-cran-bfboin
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boin, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-bfboin_0.1.0-1.ca2004.1_all.deb
Size: 145156
MD5sum: f0b1c97bf85802b4dc888274673e84e7
SHA1: 88ea12de32a5f31cde63eb5e6cdbd99f2cbc88b6
SHA256: 9041f8e3a1eb788c4948bbe91c77d11309b7e744ff4fa8c3aa9b37ab36af2134
SHA512: 6f12a34c748f4fc61d4219916ee38a9e3a58e9defea30cfeed2000a7350e360320e4842c4d310dce31c9e8f2fa3bc9a73487068eeea400d9de962363b2d113c1
Homepage: https://cran.r-project.org/package=bfboin
Description: CRAN Package 'bfboin' (Operating Characteristics for the Bayesian Optimal IntervalDesign with Back Filling)
 Calculate the operating characteristics of the Bayesian Optimal Interval
 with Back Filling Design for dose escalation in early-phase oncology trials.

Package: r-cran-bfboinet
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-iso, r-cran-copula, r-cran-dplyr, r-cran-tidyselect, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-bfboinet_0.4.0-1.ca2004.1_all.deb
Size: 96496
MD5sum: 5b2b533a6879185210b8e6c9770d9e47
SHA1: 36ed118cfc5e6a57cb321bc5f4f345e46335460c
SHA256: 9a9865cea6dde33296866fb4bb61e621ab776b0002d5359453d9073f481765f4
SHA512: 8c98ed6938bb982f00340a270084bcbd63f78de4ce2e6eb6d686fc0d732c550c82d1a88588fbe7980084f64c4a08ed3d6a8efba8672668a3626c51a3075387d0
Homepage: https://cran.r-project.org/package=bfboinet
Description: CRAN Package 'bfboinet' (Backfill Bayesian Optimal Interval Design Using Efficacy andToxicity)
 The backfill Bayesian optimal interval design using efficacy and toxicity
 outcomes for dose optimization (BF-BOIN-ET) design is a novel clinical trial
 design to allow patients to be backfilled at lower doses during a
 dose-finding trial while prioritizing the dose-escalation cohort to explore
 a higher dose. The advantages compared to the other designs in terms of the
 percentage of correct optimal dose (OD) selection, reducing the sample size,
 and shortening the duration of the trial, in various realistic setting.

Package: r-cran-bff
Architecture: all
Version: 4.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-gsl, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bsda, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-bff_4.4.2-1.ca2004.1_all.deb
Size: 338716
MD5sum: f020cc4e2328b68014d3b2260e6894dc
SHA1: 888c3d3f91a16a73faac6d7c2290b71cbf315d21
SHA256: 9ad20fb8e4beb5e647b94823cc4870876b91eee4ba7a910ec1077e5943a0da2f
SHA512: 9f75e58ad47140d3be44637a32673b2938633d11fbf9d190391e9e9f5efd094799114d28336d17a0fc83190a06298a3c2f1f81144b4d8addea7fa73b861355dc
Homepage: https://cran.r-project.org/package=BFF
Description: CRAN Package 'BFF' (Bayes Factor Functions)
 Bayes factors represent the ratio of probabilities assigned to data by
 competing scientific hypotheses. However, one drawback of Bayes factors is
 their dependence on prior specifications that define null and alternative
 hypotheses. Additionally, there are challenges in their computation. To
 address these issues, we define Bayes factor functions (BFFs) directly from
 common test statistics. BFFs express Bayes factors as a function of the
 prior densities used to define the alternative hypotheses. These prior
 densities are centered on standardized effects, which serve as indices for
 the BFF. Therefore, BFFs offer a summary of evidence in favor of alternative
 hypotheses that correspond to a range of scientifically interesting effect
 sizes. Such summaries remove the need for arbitrary thresholds to determine
 "statistical significance." BFFs are available in closed form and can be
 easily computed from z, t, chi-squared, and F statistics. They depend on
 hyperparameters "r" and "tau^2", which determine the shape and scale of the
 prior distributions defining the alternative hypotheses. Plots of BFFs
 versus effect size provide informative summaries of hypothesis tests that
 can be easily aggregated across studies.

Package: r-cran-bfi
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2337
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-devtools, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bfi_3.1.0-1.ca2004.1_all.deb
Size: 1239036
MD5sum: 3184750f89f4191d8d856031d7052754
SHA1: a18fd558e437ff5ed90204e07163db4dab956285
SHA256: 06d1c3020bb1ebff2bce6f5ba89fa008f5d1f567ca4ec321d1aa13c76d51408e
SHA512: fa8e8058e2666b31acac2abb91675cf6ce723df7a8023efb6afa15bc33c5c26022a3682f3d8c45551de1c8bfa58fcbbb2689dca1ab60a5744ad35afa687658dc
Homepage: https://cran.r-project.org/package=BFI
Description: CRAN Package 'BFI' (Bayesian Federated Inference)
 The Bayesian Federated Inference ('BFI') method combines inference results
 obtained from local data sets in the separate centers. In this version of
 the package, the 'BFI' methodology is programmed for linear, logistic and
 survival regression models. For GLMs, see Jonker, Pazira and Coolen (2024)
 <doi:10.1002/sim.10072>; for survival models, see Pazira, Massa, Weijers,
 Coolen and Jonker (2025) <doi:10.48550/arXiv.2404.17464>; and for
 heterogeneous populations, see Jonker, Pazira and Coolen (2025)
 <doi:10.1017/rsm.2025.6>.

Package: r-cran-bfpwr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lamw
Suggests: r-cran-roxygen2, r-cran-tinytest, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bfpwr_0.1.5-1.ca2004.1_all.deb
Size: 440112
MD5sum: 3320089573747f22f96b008b93f0fb51
SHA1: 5322d273d0edeee67eac496d9ba2bd50dd5c6401
SHA256: 1629ab9f91b899f418ce49605510dd123f3c84a2296028fe90a175acfb85e13a
SHA512: 9efd7e2c0b2dc423b267c4233d1d9559835517af07fae160ccd9daacbb92121e73a30e7b7bfde64e1b72ee0db4a94a92d7ee466827dde652affa974e0d8c9400
Homepage: https://cran.r-project.org/package=bfpwr
Description: CRAN Package 'bfpwr' (Power and Sample Size Calculations for Bayes Factor Analysis)
 Implements z-test, t-test, and normal moment prior Bayes factors based on
 summary statistics, along with functionality to perform corresponding power
 and sample size calculations as described in Pawel and Held (2025)
 <doi:10.1080/00031305.2025.2467919>.

Package: r-cran-bfs
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pxweb, r-cran-httr2, r-cran-xml2, r-cran-rvest, r-cran-tibble, r-cran-magrittr, r-cran-janitor, r-cran-purrr, r-cran-dplyr, r-cran-curl, r-cran-zip, r-cran-fs, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rstac, r-cran-sf
Filename: pool/dists/focal/main/r-cran-bfs_0.6.0-1.ca2004.1_all.deb
Size: 1028576
MD5sum: e56d177dd145cdcef86621fb94c08d91
SHA1: 6be624678e94f8a9c3555e3a7d2e05119088ba33
SHA256: 25d0824e9c53d00761327bf53cddf10596ce69ab7556e3482364956032b79624
SHA512: d769cc4ab1c87f222e80eb1fed79c9ec90026cd449f2ceda1db4361a4ef1a30e50fab320c4009089ed4ae5a553905e0b9b2cdd9e7788482bf83110fd6203464e
Homepage: https://cran.r-project.org/package=BFS
Description: CRAN Package 'BFS' (Get Data from the Swiss Federal Statistical Office)
 Search and download data from the Swiss Federal Statistical Office (BFS)
 APIs <https://www.bfs.admin.ch/>.

Package: r-cran-bfsl
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-generics
Suggests: r-cran-testthat, r-cran-tibble, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-bfsl_0.2.0-1.ca2004.1_all.deb
Size: 122856
MD5sum: ba89169b25224ac4ecd981a37d343634
SHA1: 7ec6b3950867e73924755374a0ee17a3815764d1
SHA256: 4e22abf0cf0da8c6fa7276f093354834d4d66d301887fa5d3b27ae457067d6ba
SHA512: 063ef30ae0f0f97010704fe68bce31cc57fb20d3617e453b705be874cff506ae7fb63a5a0a8a4fffbaf75c9c3d9912f75fc896a0b6fb6e1c685f87d6bd07a577
Homepage: https://cran.r-project.org/package=bfsl
Description: CRAN Package 'bfsl' (Best-Fit Straight Line)
 How to fit a straight line through a set of points with errors in both
 coordinates? The 'bfsl' package implements the York regression (York, 2004
 <doi:10.1119/1.1632486>). It provides unbiased estimates of the intercept,
 slope and standard errors for the best-fit straight line to independent
 points with (possibly correlated) normally distributed errors in both x and
 y. Other commonly used errors-in-variables methods, such as orthogonal
 distance regression, geometric mean regression or Deming regression are
 special cases of the 'bfsl' solution.

Package: r-cran-bfsmaps
Architecture: all
Version: 1.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1228
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desctools, r-cran-sf
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-bfsmaps_1.99.3-1.ca2004.1_all.deb
Size: 1111496
MD5sum: 077ce04ddb64ca45d2c90a682f292ce7
SHA1: 622d7af1893697d1e32a0ba2e177d0b7a936f4ee
SHA256: 9a49c2ff050f1cbba93f9c865a44ded86b2a840fb00c2f511506a4dcc65a889a
SHA512: 50f7693766e4ad0f4bfb39bdfd69144f93becff7b29ec09cc5bb2fae912cf2ad072b174ee0f5e8ad17c5a78b21275f19db7a672b197bfdf76f56ace7e76e7a0a
Homepage: https://cran.r-project.org/package=bfsMaps
Description: CRAN Package 'bfsMaps' (Plot Maps from Switzerland by Swiss Federal Statistical Office)
 At the Swiss Federal Statistical Office (SFSO), spatial maps of Switzerland
 are available free of charge as 'Cartographic bases for small-scale thematic
 mapping'. This package contains convenience functions to import ESRI
 (Environmental Systems Research Institute) shape files using the package
 'sf' and to plot them easily and quickly without having to worry too much
 about the technical details.  It contains utilities to combine multiple
 areas to one single polygon and to find neighbours for single regions. For
 any point on a map, a special locator can be used to determine to which
 municipality, district or canton it belongs.

Package: r-cran-bfw
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circlize, r-cran-coda, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-mass, r-cran-officer, r-cran-plyr, r-cran-png, r-cran-runjags, r-cran-rvg, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-lavaan, r-cran-psych, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bfw_0.4.2-1.ca2004.1_all.deb
Size: 711212
MD5sum: 6eee440f22dfb3e19ddcdf81ce0e820f
SHA1: f270f0b78396dc8d9b1e53412053ee016b2119fa
SHA256: da25026560910fcc941ec96d1efe3c66007699cdc91285ccd7e220812a63f0cd
SHA512: b7a833686bc879d58d1efec069d993b3bfbc5b5304a60feae1656ff73ad6beeb64af8172431a8bf3f9b6198fbb8fd61422fed466d9d702f09a61bf3861a9afe2
Homepage: https://cran.r-project.org/package=bfw
Description: CRAN Package 'bfw' (Bayesian Framework for Computational Modeling)
 Derived from the work of Kruschke (2015, <ISBN:9780124058880>), the present
 package aims to provide a framework for conducting Bayesian analysis using
 Markov chain Monte Carlo (MCMC) sampling utilizing the Just Another Gibbs
 Sampler ('JAGS', Plummer, 2003, <https://mcmc-jags.sourceforge.io>).  The
 initial version includes several modules for conducting Bayesian equivalents
 of chi-squared tests, analysis of variance (ANOVA), multiple (hierarchical)
 regression, softmax regression, and for fitting data (e.g., structural
 equation modeling).

Package: r-cran-bgev
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-envstats, r-cran-deoptim, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bgev_0.1-1.ca2004.1_all.deb
Size: 39536
MD5sum: c82b639f14dd4ce064bee4c53e188db7
SHA1: 5da8ae26daecb7bd673f34a1404d8a26368ac94d
SHA256: 4c43347d951a57ce7960e4997a4c1f249e6c9b966ec1d33d21b98a0347af4cbd
SHA512: 8b0abdcb531461a7a364c904d814cd5339203fc4229c35047091438cee30dbeff01290951ec2860e242bc88262c188f754c1ee940ff9f49503dc0aa1d8504a95
Homepage: https://cran.r-project.org/package=bgev
Description: CRAN Package 'bgev' (Bimodal GEV Distribution with Location Parameter)
 Density, distribution function, quantile function random generation and
 estimation of bimodal GEV distribution given in Otiniano et al. (2023)
 <doi:10.1007/s10651-023-00566-7>. This new generalization of the well-known
 GEV (Generalized Extreme Value) distribution is useful for modeling
 heterogeneous bimodal data from different areas.

Package: r-cran-bgeva
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-magic, r-cran-trust
Filename: pool/dists/focal/main/r-cran-bgeva_0.3-1-1.ca2004.1_all.deb
Size: 70788
MD5sum: bb3a8d907db78e75d61ac258c780dd5c
SHA1: ab6291d379157e3d70cfd8c08ed3142e50f8f71d
SHA256: 4113127b6fcebbed0be02bc6f48604a17f44a2b10a04155442bac7b95fa073c9
SHA512: 230b99ac007f5e8890535c10d0d0016c8fbc34fe6e1914ba4b27a35998881269a1f569d842ec98b35a7d253996efad7bf82e8b5de3c7b0619824fccb3d9ea9b9
Homepage: https://cran.r-project.org/package=bgeva
Description: CRAN Package 'bgeva' (Binary Generalized Extreme Value Additive Models)
 Routine for fitting regression models for binary rare events with linear and
 nonlinear covariate effects when using the quantile function of the
 Generalized Extreme Value random variable.

Package: r-cran-bgfd
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-adequacymodel
Filename: pool/dists/focal/main/r-cran-bgfd_0.1-1.ca2004.1_all.deb
Size: 234688
MD5sum: ac63a1240822022a95573f8d52bc7d54
SHA1: d98a869763c28d5c24e0e4caeccc9ae8d52e62c3
SHA256: 601a03133a5b68d1c3ffabf2868db2cc759d7ac75bbc3d11c09e763e0a8b5e69
SHA512: 6ac9c618d9fb6aa3afa44c9a06732ea383bda96a0669ec35a2ae175010f52e52758a8528019b578840a3ca6c9684d3dff8260b11dc7a6e86560ef5d3f57e42d0
Homepage: https://cran.r-project.org/package=BGFD
Description: CRAN Package 'BGFD' (Bell-G and Complementary Bell-G Family of Distributions)
 Evaluates the probability density function, cumulative distribution
 function, quantile function, random numbers, survival function, hazard rate
 function, and maximum likelihood estimates for the following distributions:
 Bell exponential, Bell extended exponential, Bell Weibull, Bell extended
 Weibull, Bell-Fisk, Bell-Lomax, Bell Burr-XII, Bell Burr-X, complementary
 Bell exponential, complementary Bell extended exponential, complementary
 Bell Weibull, complementary Bell extended Weibull, complementary Bell-Fisk,
 complementary Bell-Lomax, complementary Bell Burr-XII and complementary Bell
 Burr-X distribution. Related work includes: a) Fayomi A., Tahir M. H.,
 Algarni A., Imran M. and Jamal F. (2022). "A new useful exponential model
 with applications to quality control and actuarial data". Computational
 Intelligence and Neuroscience, 2022. <doi:10.1155/2022/2489998>.  b) Alanzi,
 A. R., Imran M., Tahir M. H., Chesneau C., Jamal F. Shakoor S. and Sami, W.
 (2023). "Simulation analysis, properties and applications on a new Burr XII
 model based on the Bell-X functionalities". AIMS Mathematics, 8(3):
 6970-7004. <doi:10.3934/math.2023352>.  c) Algarni A. (2022). "Group
 Acceptance Sampling Plan Based on New Compounded Three-Parameter Weibull
 Model". Axioms, 11(9): 438. <doi:10.3390/axioms11090438>.

Package: r-cran-bgganalytics
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-r6, r-cran-checkmate, r-cran-pryr, r-cran-stringr, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bgganalytics_0.2.1-1.ca2004.1_all.deb
Size: 233492
MD5sum: 9dec34d6bc5e580364def9bd105549cb
SHA1: 8966a7a865ff863f14eb02bdedba48dde93144cb
SHA256: 057d9e8c6597823c338b82d8e17770b645364cf3709843401771e68681cb578d
SHA512: ae05e0931921eaa65add23278c546c1cd97f2c60887632dfaed7967924a3ed9ac313255ed0a6929f090502ef4b2a276a389e52b058c0c3bc279f8e793bc1f1b6
Homepage: https://cran.r-project.org/package=bggAnalytics
Description: CRAN Package 'bggAnalytics' (BoardGameGeek's Board Game Data Analysis Tools)
 Tools for analysing board game data. Mainly focused on providing an
 interface for BoardGameGeek's XML API2 through R6 class system objects.
 More details about the BoardGameGeek's API can be obtained here
 <https://boardgamegeek.com/wiki/page/BGG_XML_API2>.

Package: r-cran-bgge
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bglr, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bgge_0.6.5-1.ca2004.1_all.deb
Size: 47080
MD5sum: 16e0350c637c4f0502e58da13cd993a7
SHA1: 94cce616381696df6fd33a1b344fdbf5ba3e5d2e
SHA256: a830163cb0fff2f14a343d9357b61877c3b735b73024582835be0c9794a84b8c
SHA512: 94aedde485bb5808d1b61fb8c2026c8f133c42b4f58f9c4743933e8e6a9e02a214c3e8f45bb2f6b060922a6560664ed649cbc716167a9df5e6715817166b57f8
Homepage: https://cran.r-project.org/package=BGGE
Description: CRAN Package 'BGGE' (Bayesian Genomic Linear Models Applied to GE Genome Selection)
 Application of genome prediction for a continuous variable, focused on
 genotype by environment (GE) genomic selection models (GS). It consists a
 group of functions that help to create regression kernels for some GE
 genomic models proposed by Jarquín et al. (2014)
 <doi:10.1007/s00122-013-2243-1> and Lopez-Cruz et al. (2015)
 <doi:10.1534/g3.114.016097>. Also, it computes genomic predictions based on
 Bayesian approaches.  The prediction function uses an orthogonal
 transformation of the data and specific priors present by Cuevas et al.
 (2014) <doi:10.1534/g3.114.013094>.

Package: r-cran-bgmfiles
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1771
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bgmfiles_0.0.6-1.ca2004.1_all.deb
Size: 270628
MD5sum: 548cfaab79e9691a11cd0cb5d14c5724
SHA1: 919be524cef4af2c79776a8059ac82fd80987220
SHA256: 5613ad5f82cd560bfc228d90743f31eb27690db9d39746120f83f7b1cf658f38
SHA512: e64a0c1e8dd01dec384105cee0af49007085fa809851c0d6de306004e7a13fec25eb97b6680ab7f69ec83b328e0e9b38ddb063e8761146780882ad4c3d4eb2d2
Homepage: https://cran.r-project.org/package=bgmfiles
Description: CRAN Package 'bgmfiles' (Example BGM Files for the Atlantis Ecosystem Model)
 A collection of box-geometry model (BGM) files for the Atlantis ecosystem
 model. Atlantis is a deterministic, biogeochemical, whole-of-ecosystem model
 (see <http://atlantis.cmar.csiro.au/> for more information).

Package: r-cran-bgmisc
Architecture: all
Version: 1.4.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1315
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-matrix, r-cran-stringr
Suggests: r-cran-corrplot, r-cran-ggpedigree, r-cran-kinship2, r-cran-ggplot2, r-cran-discord, r-cran-dplyr, r-cran-easymx, r-cran-knitr, r-cran-openmx, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-bgmisc_1.4.3.1-1.ca2004.1_all.deb
Size: 810720
MD5sum: 78f666276f8b6d98234e83f98ae8f456
SHA1: 4d5fd505fcc2a2b38a9d7642d01b548ee63f8b06
SHA256: 647fe02eb7d2453dd00519069ce4c5f24aaca01b015f4d82b197fb27dd634b79
SHA512: 6687a9b11e84eb1eb511af5aaff95d39deb95bc3ec36e19c2787769fc3b857d283d9336ca781935b067785605db5de99cb0e5883a24f25d8b8015cca4b2d50a6
Homepage: https://cran.r-project.org/package=BGmisc
Description: CRAN Package 'BGmisc' (An R Package for Extended Behavior Genetics Analysis)
 Provides functions for behavior genetics analysis, including variance
 component model identification [Hunter et al. (2021)
 <doi:10.1007/s10519-021-10055-x>], calculation of relatedness coefficients
 using path-tracing methods [Wright (1922) <doi:10.1086/279872>; McArdle &
 McDonald (1984) <doi:10.1111/j.2044-8317.1984.tb00802.x>], inference of
 relatedness, pedigree conversion, and simulation of multi-generational
 family data [Lyu et al. (2024) <doi:10.1101/2024.12.19.629449>]. For a full
 overview, see [Garrison et al. (2024) <doi:10.21105/joss.06203>].

Package: r-cran-bgmm
Architecture: all
Version: 1.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-car, r-cran-lattice, r-cran-combinat
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bgmm_1.8.5-1.ca2004.1_all.deb
Size: 218008
MD5sum: d1e627a23e589ef160c7ac50a0e785ed
SHA1: 1e8fa4e36b02f13d9eea72ed57c8c6e5952d1f7f
SHA256: 4cf1c95a06086ea106d600b53f05081793e45629ec12a1cf98220c9c81403bcb
SHA512: 62bb30c7f8e687fdc7d3df0fd67d8d559340b4b1281dc38c94c62a513818cadffa4ae21d367b5532a29b5141860c5073feb8734f2bc58e7602d5d923a8e94297
Homepage: https://cran.r-project.org/package=bgmm
Description: CRAN Package 'bgmm' (Gaussian Mixture Modeling Algorithms and the Belief-BasedMixture Modeling)
 Two partially supervised mixture modeling methods: soft-label and
 belief-based modeling are implemented.  For completeness, we equipped the
 package also with the functionality of unsupervised, semi- and fully
 supervised mixture modeling.  The package can be applied also to selection
 of the best-fitting from a set of models with different component numbers or
 constraints on their structures.  For detailed introduction see: Przemyslaw
 Biecek, Ewa Szczurek, Martin Vingron, Jerzy Tiuryn (2012), The R Package
 bgmm: Mixture Modeling with Uncertain Knowledge, Journal of Statistical
 Software <doi:10.18637/jss.v047.i03>.

Package: r-cran-bgphazard
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brobdingnag, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-gridextra, r-cran-magrittr, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-survival, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bgphazard_2.1.1-1.ca2004.1_all.deb
Size: 909296
MD5sum: da4d1dd0394072cd7ba04ca6fed4781f
SHA1: e82227c72e7b8204ca021eef90f192740c03c4c9
SHA256: a77be4fb1e3cc15199da7436495254c95d7201e9bd6d819a9728f9fa39aefe77
SHA512: 6abbb126ac3d5613b056feee35155f545cb41a0edff698c9f5134822e980af48d0708c1e669fa902ffc25ba927d55d62a8054c7788e804946a09011931929eeb
Homepage: https://cran.r-project.org/package=BGPhazard
Description: CRAN Package 'BGPhazard' (Markov Beta and Gamma Processes for Modeling Hazard Rates)
 Computes the hazard rate estimate as described by Nieto-Barajas & Walker
 (2002), Nieto-Barajas (2003), Nieto-Barajas & Walker (2007) and
 Nieto-Barajas & Yin (2008).

Package: r-cran-bgsimd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bgsimd_1.0-1.ca2004.1_all.deb
Size: 24624
MD5sum: 3a0f477a6076fd52698eb0a22b2a6022
SHA1: 10790a9bdec963c22622344bb41354e9b5a3f59f
SHA256: 6bad2491ec47569b59a161c82bd6ab61a790996785983d467f6085be5b17a762
SHA512: d957014ffa5dd2d3163ee3fc0f10cbd79655ea27d4cd8c35448ed8af0b4c34fee9969cc766b94e2fd48d09f0d7c053c61a591966be56f168bcd6ce0b3c0c40c7
Homepage: https://cran.r-project.org/package=BGSIMD
Description: CRAN Package 'BGSIMD' (Block Gibbs Sampler with Incomplete Multinomial Distribution)
 Implement an efficient block Gibbs sampler with incomplete data from a
 multinomial distribution taking values from the k categories 1,2,...,k,
 where data are assumed to miss at random and each missing datum belongs to
 one and only one of m distinct non-empty proper subsets A1, A2,..., Am of
 1,2,...,k and the k categories are labelled such that only consecutive A's
 may overlap.

Package: r-cran-bgsmtr
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4051
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mvtnorm, r-cran-misctools, r-cran-coda, r-cran-edison, r-cran-statmod, r-cran-sparsemvn, r-cran-inline, r-cran-laplacesdemon, r-cran-cholwishart, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-bgsmtr_0.7-1.ca2004.1_all.deb
Size: 4009296
MD5sum: c3326357cb2124c2a00f3a3f7a66a183
SHA1: de8ee1c584615930605748e24c1c5939166759b0
SHA256: e09b3ad888c522c9c6aae7c1604e36a735c0160724ae242a413e66c1e317be49
SHA512: 2595db06a13fe5dfaba7df78ca501f656109a05f98341fddb23aecb6dac78584d4ada7e63542766bef080436f45b548b6786a5c0ce6a6772fc31dbd25898bdd5
Homepage: https://cran.r-project.org/package=bgsmtr
Description: CRAN Package 'bgsmtr' (Bayesian Group Sparse Multi-Task Regression)
 Implementation of Bayesian multi-task regression models and was developed
 within the context of imaging genetics. The package can currently fit two
 models. The Bayesian group sparse multi-task regression model of Greenlaw et
 al. (2017)<doi:10.1093/bioinformatics/btx215> can be fit with implementation
 using Gibbs sampling. An extension of this model developed by Song, Ge et
 al. to accommodate both spatial correlation as well as correlation across
 brain hemispheres can also be fit using either mean-field variational Bayes
 or Gibbs sampling. The model can also be used more generally for
 multivariate (non-imaging) phenotypes with spatial correlation.

Package: r-cran-bh
Architecture: all
Version: 1.87.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132453
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bh_1.87.0-1-1.ca2004.1_all.deb
Size: 8858020
MD5sum: 48104af86cac2e8829285b64d050b9c2
SHA1: 299465f50023ef587cabe977290a8e0393bae9cd
SHA256: ed2415eee65a2331573b0a62fb35eb3db9cbd33eaaa912825dab9b9ea950c2b7
SHA512: 3a726c09e5decf32df0bd82304c784be891570368098cb1f46b7d82a43aa297048c54c4597fa146302c02f615ae064a0eddd728e1b5a35c5fbe2b725e6a35266
Homepage: https://cran.r-project.org/package=BH
Description: CRAN Package 'BH' (Boost C++ Header Files)
 Boost provides free peer-reviewed portable C++ source libraries.  A large
 part of Boost is provided as C++ template code which is resolved entirely at
 compile-time without linking.  This package aims to provide the most useful
 subset of Boost libraries for template use among CRAN packages. By placing
 these libraries in this package, we offer a more efficient distribution
 system for CRAN as replication of this code in the sources of other packages
 is avoided. As of release 1.84.0-0, the following Boost libraries are
 included: 'accumulators' 'algorithm' 'align' 'any' 'atomic' 'beast' 'bimap'
 'bind' 'circular_buffer' 'compute' 'concept' 'config' 'container'
 'date_time' 'detail' 'dynamic_bitset' 'exception' 'flyweight' 'foreach'
 'functional' 'fusion' 'geometry' 'graph' 'heap' 'icl' 'integer'
 'interprocess' 'intrusive' 'io' 'iostreams' 'iterator' 'lambda2' 'math'
 'move' 'mp11' 'mpl' 'multiprecision' 'numeric' 'pending' 'phoenix' 'polygon'
 'preprocessor' 'process' 'propery_tree' 'qvm' 'random' 'range' 'scope_exit'
 'smart_ptr' 'sort' 'spirit' 'tuple' 'type_traits' 'typeof' 'unordered' 'url'
 'utility' 'uuid'.

Package: r-cran-bhai
Architecture: all
Version: 0.99.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-prevtoinc, r-cran-mcmcpack, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-bhai_0.99.2-1.ca2004.1_all.deb
Size: 1266612
MD5sum: d095b75e2db27e0c2b322360ba6ea3f1
SHA1: 19504422430f62363af0c38362e7f817d3c0549d
SHA256: 98ef1c75af2747955fb0089d0fa9e9db6f15e82eed5a69cef486ffcfe37c6bc8
SHA512: c86c14db2144c4d4c555fb1fe9cad220f05f7e34b8926ce85f3bb51234380525f628c9ba39209308a0df001b27dc912acc38ce5fb484b82d7c5e61b21fcb00ad
Homepage: https://cran.r-project.org/package=BHAI
Description: CRAN Package 'BHAI' (Estimate the Burden of Healthcare-Associated Infections)
 Provides an approach which is based on the methodology of the Burden of
 Communicable Diseases in Europe (BCoDE) and can be used for large and small
 samples such as individual countries. The Burden of Healthcare-Associated
 Infections (BHAI) is estimated in disability-adjusted life years, number of
 infections as well as number of deaths per year. Results can be visualized
 with various plotting functions and exported into tables.

Package: r-cran-bhat
Architecture: all
Version: 0.9-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bhat_0.9-12-1.ca2004.1_all.deb
Size: 93716
MD5sum: 9ab9f2ebba9ac952d2b89d214743ff24
SHA1: feff3eeda2a9b0b021249da71e402764219a7222
SHA256: 2660366db2de02d8e28bdc8f3cbe8e4dcda793af3b93aae7190aa5cc1e4c16b1
SHA512: 8a9809c8bc6e32aedd862f9dde6bcf92dde0e8a99d19cb8c4924f55efe399f15e64173b365634965fe3dd43aa99138d3f56edfb51b130df71af49e7b67304e62
Homepage: https://cran.r-project.org/package=Bhat
Description: CRAN Package 'Bhat' (General Likelihood Exploration)
 Provides functions for Maximum Likelihood Estimation, Markov Chain Monte
 Carlo, finding confidence intervals.  The implementation is heavily based on
 the original Fortran source code translated to R.

Package: r-cran-bhh2
Architecture: all
Version: 2016.05.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-frf2
Filename: pool/dists/focal/main/r-cran-bhh2_2016.05.31-1.ca2004.1_all.deb
Size: 240160
MD5sum: 336ca97a9a4ac67927fe29af68d99e43
SHA1: f2fa043d0c0f9221ad23099a0ab0f9cf5dbdf771
SHA256: 4012b79dcb938ea9e158243b386140377b6f448af05b30da671cb4ac1f7acb3b
SHA512: 7e6942fa91769c06c83c908797122c15c4ce8017aaf63b7d3b1a4cadc8305538a14ae625f264abe0d366f41572c498bb703453829c09fa53e365a3e9bb89d9d8
Homepage: https://cran.r-project.org/package=BHH2
Description: CRAN Package 'BHH2' (Useful Functions for Box, Hunter and Hunter II)
 Functions and data sets reproducing some examples in Box, Hunter and Hunter
 II.  Useful for statistical design of experiments, especially factorial
 experiments.

Package: r-cran-bhm
Architecture: all
Version: 1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-ggplot2, r-cran-gridextra, r-cran-lpl, r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-bhm_1.19-1.ca2004.1_all.deb
Size: 308940
MD5sum: a242a08f1e7626c52ae40cb57dd3c111
SHA1: 2dd4dd3e0af32e56024375dc4733eb6ff9184263
SHA256: 769d3fd4ef8042a1d97e6012f790416fe98251d76e4a0be72b3fde158d5adb9b
SHA512: c96f68bc4dd415478992bb937229a95ddaadafd06e7ccf55972c75f4b5aa775a0b2d963826d045ec3c3627347e2d6f900418e41aea785bd96af40481fc7608a7
Homepage: https://cran.r-project.org/package=bhm
Description: CRAN Package 'bhm' (Biomarker Threshold Models)
 Contains tools to fit both predictive and prognostic biomarker effects using
 biomarker threshold models and continuous threshold models. Evaluate the
 treatment effect, biomarker effect and treatment-biomarker interaction using
 probability index measurement. Test for treatment-biomarker interaction
 using residual bootstrap method.

Package: r-cran-bhmbasket
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-dorng, r-cran-r2jags
Suggests: r-cran-dofuture, r-cran-future, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bhmbasket_0.9.5-1.ca2004.1_all.deb
Size: 219576
MD5sum: 44c098ff60b48fc63830e6017fa426ba
SHA1: 2ed9f94882ce86e3052972d61ee4ab1367e36a3f
SHA256: 091d9c791d04225c6b80c582a2fc9ad64cc6e91472eea80bfa9fe41225dea510
SHA512: 33f500a648ca2818002ffe9a710330d36d9568da6de92daf79991656ac116bcc4722b88b385a5aa6884d44d936168820974a74cbb945920c8d4634dbcfefe0ce
Homepage: https://cran.r-project.org/package=bhmbasket
Description: CRAN Package 'bhmbasket' (Bayesian Hierarchical Models for Basket Trials)
 Provides functions for the evaluation of basket trial designs with binary
 endpoints. Operating characteristics of a basket trial design are assessed
 by simulating trial data according to scenarios, analyzing the data with
 Bayesian hierarchical models (BHMs), and assessing decision probabilities on
 stratum and trial-level based on Go / No-go decision making.  The package is
 build for high flexibility regarding decision rules, number of interim
 analyses, number of strata, and recruitment.  The BHMs proposed by Berry et
 al. (2013) <doi:10.1177/1740774513497539> and Neuenschwander et al. (2016)
 <doi:10.1002/pst.1730>, as well as a model that combines both approaches are
 implemented.  Functions are provided to implement Bayesian decision rules as
 for example proposed by Fisch et al. (2015) <doi:10.1177/2168479014533970>.
 In addition, posterior point estimates (mean/median) and credible intervals
 for response rates and some model parameters can be calculated.  For
 simulated trial data, bias and mean squared errors of posterior point
 estimates for response rates can be provided.

Package: r-cran-bi
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bi_1.2.0-1.ca2004.1_all.deb
Size: 22288
MD5sum: 20e833f5fe3e4d10cd3477dd475b70c8
SHA1: c34f410c17151c522db2036e05f719ad1559be88
SHA256: 4f83ebe5327d6f3aaa015df9cfbb8cea63fe4d2302c13c621b34668d34c1a93f
SHA512: 4cdfbf0c0575c572e1843c88861bfb033085bfbc118098324b50fbbf13e7aabaf77c2347e95a06859ca42cb737acee14c9e740ca3a30fa634886b0fe7f4c1bed
Homepage: https://cran.r-project.org/package=BI
Description: CRAN Package 'BI' (Blinding Assessment Indexes for Randomized, Controlled, ClinicalTrials)
 Generate the James Blinding Index, as described in James et al (1996)
 <https://pubmed.ncbi.nlm.nih.gov/8841652/> and the Bang Blinding Index, as
 described in Bang et al (2004) <https://pubmed.ncbi.nlm.nih.gov/15020033/>.
 These are measures to assess whether or not satisfactory blinding has been
 maintained in a randomized, controlled, clinical trial. These can be
 generated for trial subjects, research coordinators and principal
 investigators, based upon standardized questionnaires that have been
 administered, to assess whether or not they can correctly guess to which
 treatment arm (e.g. placebo or treatment) subjects were assigned at
 randomization.

Package: r-cran-biasbetareg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-betareg
Filename: pool/dists/focal/main/r-cran-biasbetareg_1.0-1.ca2004.1_all.deb
Size: 17416
MD5sum: ccd79c63270351a9330386eb306db2d7
SHA1: 76cce48426cebfd6ec47f04f45928bec619a5313
SHA256: 700f09e2451d3052ba0a9c02a851ccb6cf73662961cf7db3d645b319d899d712
SHA512: af20b65244d82472af16d0b35dc3e9f43cf7d5d8a7f2a63d04b19d718a256cb3beb987f73c9015321a69c1de545814c55ed097a1318116322198fff42633f799
Homepage: https://cran.r-project.org/package=biasbetareg
Description: CRAN Package 'biasbetareg' (Bias correction of the parameter estimates of the betaregression model)
 Bias correction of second order of the maximum likelihood estimators of the
 parameters of the beta regression model.

Package: r-cran-biascorrector
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dt, r-cran-magrittr, r-cran-rbiascorrection, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biascorrector_0.2.3-1.ca2004.1_all.deb
Size: 167784
MD5sum: c3a63121a8d9c86715d1d9676ce88782
SHA1: 4d72af2eb996bc5dbae4dfec2f53c69763e3cf5e
SHA256: 99dbd1f5d6e1ee5c2bf6fd39f4d47ba4ca676fa22f5519fda7bdaa8008626189
SHA512: 5f3ae31264c14901e42cfa2cb3864c1f434e780514422af291c194ac9ddd1b0448b91c668d37c5f76e96a235135b87294e823f58ddd6f89c4126e86541291e3d
Homepage: https://cran.r-project.org/package=BiasCorrector
Description: CRAN Package 'BiasCorrector' (A GUI to Correct Measurement Bias in DNA Methylation Analyses)
 A GUI to correct measurement bias in DNA methylation analyses. The
 'BiasCorrector' package just wraps the functions implemented in the 'R'
 package 'rBiasCorrection' into a shiny web application in order to make them
 more easily accessible. Publication: Kapsner et al. (2021)
 <doi:10.1002/ijc.33681>.

Package: r-cran-bib2df
Architecture: all
Version: 1.1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-humaniformat, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bib2df_1.1.2.0-1.ca2004.1_all.deb
Size: 65016
MD5sum: 9c56a08dc79ae2c532efa06edf0b1d87
SHA1: 555bed3dcfe04bc939fb16f05d9573d9155d951f
SHA256: a88fc435e144d36691ed7e28a10fc9257249ffd9c517fbaa0af28276aba23ea5
SHA512: 50182e474cc6eae3ee8f4d89668907c1a288f57460c2c4404b6a53c6fe8d4859469532266630154d3d1a2bf2ab26df6f448aa6a5b62725fc3d21a94570947e8c
Homepage: https://cran.r-project.org/package=bib2df
Description: CRAN Package 'bib2df' (Parse a BibTeX File to a Data Frame)
 Parse a BibTeX file to a data.frame to make it accessible for further
 analysis and visualization.

Package: r-cran-bibitr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign, r-cran-viridis, r-cran-cluster, r-cran-dendextend, r-cran-lattice, r-cran-randomcolor, r-cran-biclust
Filename: pool/dists/focal/main/r-cran-bibitr_0.3.1-1.ca2004.1_all.deb
Size: 448724
MD5sum: 03e85aeca1f4b1ddabcc63cdba9c4a02
SHA1: 55a91d00df9c3fa1b0539409f9d26df773c09381
SHA256: df0d756eb001a731a5266bda461c2e59e72e9af1e80933ca70261463467deea9
SHA512: 5e0e825e4d796aa4ed52fdd1429341a2c45447d7316847e24a7fc123094ff4c1261b45b287a7befbafbb8840fc00196e0e4c1d4f27d3a2570c526e9dab44f33b
Homepage: https://cran.r-project.org/package=BiBitR
Description: CRAN Package 'BiBitR' (R Wrapper for Java Implementation of BiBit)
 A simple R wrapper for the Java BiBit algorithm from "A biclustering
 algorithm for extracting bit-patterns from binary datasets" from Domingo et
 al. (2011) <DOI:10.1093/bioinformatics/btr464>. An simple adaption for the
 BiBit algorithm which allows noise in the biclusters is also introduced as
 well as a function to guide the algorithm towards given (sub)patterns.
 Further, a workflow to derive noisy biclusters from discoverd larger column
 patterns is included as well.

Package: r-cran-biblio
Architecture: all
Version: 0.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcrossref, r-cran-stringr, r-cran-yamlme
Suggests: r-cran-covr, r-cran-devtools, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biblio_0.0.10-1.ca2004.1_all.deb
Size: 267840
MD5sum: 1ac7a775f54df1a421506ac5ec69fc6d
SHA1: 9d4137132b9bd1fd1bef69e6b8594be7c7bf1fb2
SHA256: 90139592478fc5955460911cb688e427b7c6cf27c477a9d1e3298952523cdb62
SHA512: 9d71967eca251e8a5a3f772fddbe06e36d6f85be69e3de959ea9864d62da011887332f44550ddc40008c9312a330ca42bffeb9a9d2757dfe9dc65316ddd1941f
Homepage: https://cran.r-project.org/package=biblio
Description: CRAN Package 'biblio' (Interacting with BibTeX Databases)
 Reading and writing BibTeX files using data frames in R sessions.

Package: r-cran-bibliometrix
Architecture: all
Version: 5.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3475
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bibliometrixdata, r-cran-dimensionsr, r-cran-dplyr, r-cran-dt, r-cran-ca, r-cran-forcats, r-cran-ggplot2, r-cran-ggrepel, r-cran-igraph, r-cran-matrix, r-cran-plotly, r-cran-openalexr, r-cran-openxlsx, r-cran-pubmedr, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rscopus, r-cran-shiny, r-cran-snowballc, r-cran-stringdist, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-tidytext, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinycssloaders, r-cran-wordcloud2
Filename: pool/dists/focal/main/r-cran-bibliometrix_5.0.1-1.ca2004.1_all.deb
Size: 2584896
MD5sum: b7e1b4efb58793f2397971f9f73438d9
SHA1: 892f8c599a445964fab24c78f50aed48936c55d3
SHA256: f4241cda800471e2a016ef4a61db552df1087e7569bad72e1ec69122d5d21e83
SHA512: 722d0b71dbea175436103314f1aa93d26aff8acd3338b0d5ac46f28194ae919c509100dccce44b7c86cc38d5d8f5982934d212651d8b43aa940565d156416095
Homepage: https://cran.r-project.org/package=bibliometrix
Description: CRAN Package 'bibliometrix' (Comprehensive Science Mapping Analysis)
 Tool for quantitative research in scientometrics and bibliometrics.  It
 implements the comprehensive workflow for science mapping analysis proposed
 in Aria M. and Cuccurullo C. (2017) <doi:10.1016/j.joi.2017.08.007>.
 'bibliometrix' provides various routines for importing bibliographic data
 from 'SCOPUS', 'Clarivate Analytics Web of Science'
 (<https://www.webofknowledge.com/>), 'Digital Science Dimensions'
 (<https://www.dimensions.ai/>), 'OpenAlex' (<https://openalex.org/>),
 'Cochrane Library' (<https://www.cochranelibrary.com/>), 'Lens'
 (<https://lens.org>), and 'PubMed' (<https://pubmed.ncbi.nlm.nih.gov/>)
 databases, performing bibliometric analysis and building networks for
 co-citation, coupling, scientific collaboration and co-word analysis.

Package: r-cran-bibliometrixdata
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3892
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bibliometrix
Filename: pool/dists/focal/main/r-cran-bibliometrixdata_0.3.0-1.ca2004.1_all.deb
Size: 3950568
MD5sum: 6a36232567bb92c506b67df3b719e7eb
SHA1: 5931dd79f849364413266620a5f641a6015a756f
SHA256: 6d81a5041351013a3d65a9a9cb973b47fa43edf5d44252d77dd016c6ae50493d
SHA512: 4c0731e9f8be9be7a17b571085745b02da838e86fff3bb4acca223ae23fc2dca3afbc78f4684eaa2f0d50695ef8297064d6a32a481d670010d1d1e2c5d6b10a1
Homepage: https://cran.r-project.org/package=bibliometrixData
Description: CRAN Package 'bibliometrixData' (Bibliometrix Example Datasets)
 It contains some example datasets used in 'bibliometrix'. The data are
 bibliographic datasets exported from the 'SCOPUS' (<https://scopus.com>) and
 'Clarivate Analytics Web of Science' (<https://www.webofscience.com/>)
 databases. They can be used to test the different features of the package
 'bibliometrix' (<https://bibliometrix.org>).

Package: r-cran-biblionetwork
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biblionetwork_0.1.0-1.ca2004.1_all.deb
Size: 206780
MD5sum: 1dc6e9fc966ca48068fe01d455083752
SHA1: f317214b18a45c88598ac82150bd32f88c57ceb8
SHA256: 502a18d5a11994618fcbffb1d003e03eb737076acc964d2ac16d69c3bb752c1f
SHA512: deeb1611ddf7dee3dff463b9b15cd6851a35853669c875575aed75aa709b24bbc70a6634c3a0fb79b9f6bf28cfe48bc18ca7188617030452c2e2315a95e3e6d3
Homepage: https://cran.r-project.org/package=biblionetwork
Description: CRAN Package 'biblionetwork' (Create Different Types of Bibliometric Networks)
 Functions to find edges for bibliometric networks like bibliographic
 coupling network, co-citation network and co-authorship network. The weights
 of network edges can be calculated according to different methods, depending
 on the type of networks, the type of nodes, and what you want to analyse.
 These functions are optimized to be be used on large dataset. The package
 contains functions inspired by: Leydesdorff, Loet and Park, Han Woo (2017)
 <doi:10.1016/j.joi.2016.11.007>; Perianes-Rodriguez, Antonio, Ludo Waltman,
 and Nees Jan Van Eck (2016) <doi:10.1016/j.joi.2016.10.006>; Sen, Subir K.
 and Shymal K. Gan (1983)
 <http://nopr.niscair.res.in/handle/123456789/28008>; Shen, Si, Zhu, Danhao,
 Rousseau, Ronald, Su, Xinning and Wang, Dongbo (2019)
 <doi:10.1016/j.joi.2019.01.012>; Zhao, Dangzhi and Strotmann, Andreas (2008)
 <doi:10.1002/meet.2008.1450450292>.

Package: r-cran-bibliorefer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 904
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bibliorefer_0.1.1-1.ca2004.1_all.deb
Size: 255072
MD5sum: 3962d0fae2ec35e529c692458576d603
SHA1: 30d50fe2b87b6ce772a753736b29f3fc1be3dde9
SHA256: dd2b404801ef1a4b87fb1b5800f3fba724ff8a4cd1e99a3530a9a6e9c59c2766
SHA512: d70dda04568da108f009549c8b8ea245da43d5aeb30502ff5b2fa0ac6da0c5f64372a4de765185139c95614bf9010caf7db489dcf8041d52f9c4e186bb08200e
Homepage: https://cran.r-project.org/package=bibliorefer
Description: CRAN Package 'bibliorefer' (Generator of Main Scientific References)
 Generates a list, with a size defined by the user, containing the main
 scientific references and the frequency distribution of authors and journals
 in the list obtained.  The database is a dataframe with academic production
 metadata made available by bibliographic collections such as Scopus, Web of
 Science, etc.  The temporal evolution of scientific production on a given
 topic is presented and ordered lists of articles are constructed by number
 of citations and of authors and journals by level of productivity.  Massimo
 Aria, Corrado Cuccurullo. (2017) <doi:10.1016/j.joi.2017.08.007>.  Caibo
 Zhou, Wenyan Song. (2021) <doi:10.1016/j.jclepro.2021.126943>.

Package: r-cran-biblioverlap
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 612
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggvenndiagram, r-cran-magrittr, r-cran-matrix, r-cran-rlang, r-cran-shiny, r-cran-stringdist, r-cran-upsetr, r-cran-uuid
Suggests: r-cran-dt, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biblioverlap_1.0.2-1.ca2004.1_all.deb
Size: 529128
MD5sum: 2f5df0db44dd888a4cbfadca329e041b
SHA1: 96681432742409e510a850f1a3545dccb49c2c88
SHA256: e468946230335c4708bc1b33832c2dbb35e3c3b67dcb108d4a03211975ac41c9
SHA512: 40d8c7fb3d89e1b667356165b835a28d32fedd080f71737fa93e72f5ed7e37a0256aeda534f208cc9b48f3b1f5dd0bd6c43489ea7349fecdd86e55be4ebc4eb7
Homepage: https://cran.r-project.org/package=biblioverlap
Description: CRAN Package 'biblioverlap' (Document-Level Matching Between Bibliographic Datasets)
 Identifies and visualizes document overlap in any number of bibliographic
 datasets.  This package implements the identification of overlapping
 documents through the exact match of a unique identifier (e.g. Digital
 Object Identifier - DOI) and, for records where the identifier is absent,
 through a score calculated from a set of fields commonly found in
 bibliographic datasets (Title, Source, Authors and Publication Year).
 Additionally, it provides functions to visualize the results of the document
 matching through a Venn diagram and/or UpSet plot, as well as a summary of
 the matching procedure.

Package: r-cran-bibplots
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bibplots_0.0.8-1.ca2004.1_all.deb
Size: 73980
MD5sum: 282e6edeff0edfce2c8ae6ff6cfeb97e
SHA1: 84cf0f8360e69774391491962fb5c4ee8bcff783
SHA256: 6f4124b05ea7f86ee43cd1f7e72082ab136be04574928ade8a36ad3ea42fe88b
SHA512: c92a0c63d70a9603fdedc891209c9bdbaf64b87c9a3268c20e7662b329c2da068053ba806314d762c4d6066dec8968f7c3687d41a9e0c696f84b5ff44c4f4b24
Homepage: https://cran.r-project.org/package=BibPlots
Description: CRAN Package 'BibPlots' (Plot Functions for Use in Bibliometrics)
 Currently, the package provides several functions for plotting and analyzing
 bibliometric data (JIF, Journal Impact Factor, and paper percentile values),
 beamplots with citations and percentiles, and three plot functions to
 visualize the result of a reference publication year spectroscopy (RPYS)
 analysis performed in the free software 'CRExplorer' (see
 <http://crexplorer.net>). Further extension to more plot variants is
 planned.

Package: r-cran-bibs
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gigrvg
Filename: pool/dists/focal/main/r-cran-bibs_1.1.1-1.ca2004.1_all.deb
Size: 74484
MD5sum: f60c7a8b35595e81b59ab8ad55a5edb6
SHA1: 2f43814bc59774bf7b71d583f8a122b86dcae008
SHA256: 1bd4b639ced23e884a6010e93a1cb26ef3ceba262403437a134b8439f0703b8b
SHA512: 5fa45105b6ae08f654e992dfc33fb430f8c630dd518c945e2d930db9d7cdc36ba9e6e33347aac5cd0c88b09403a2cd298603c9e9f0fc8fa0265bba0468d51523
Homepage: https://cran.r-project.org/package=bibs
Description: CRAN Package 'bibs' (Bayesian Inference for the Birnbaum-Saunders Distribution)
 Developed for the following tasks. 1- Simulating and computing the maximum
 likelihood estimator for the Birnbaum-Saunders (BS) distribution, 2-
 Computing the Bayesian estimator for the parameters of the BS distribution
 based on reference prior proposed by Xu and Tang (2010)
 <doi:10.1016/j.csda.2009.08.004> and conjugate prior. 3- Computing the
 Bayesian estimator for the BS distribution based on conjugate prior. 4-
 Computing the Bayesian estimator for the BS distribution based on Jeffrey
 prior given by Achcar (1993) <doi:10.1016/0167-9473(93)90170-X> 5- Computing
 the Bayesian estimator for the BS distribution under progressive type-II
 censoring scheme.

Package: r-cran-bibtex
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-backports
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bibtex_0.5.1-1.ca2004.1_all.deb
Size: 68592
MD5sum: a3760d4b983dda2598c08981ea349581
SHA1: bb5956008fc3eaa299bec304c50b632047eb662f
SHA256: 0e0199a428547d06e544844529171b8f5f32707c90129153e72025464c080c44
SHA512: 9dcdfbee4879381277b2884911e924bf08325819b5bbd61df1b9c30f71188b98bf7e8b0ab23aeda02cf993e078ea71cfba06135524ec06747a1dca448691204e
Homepage: https://cran.r-project.org/package=bibtex
Description: CRAN Package 'bibtex' (Bibtex Parser)
 Utility to parse a bibtex file.

Package: r-cran-bicausality
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-bicausality_0.1.4-1.ca2004.1_all.deb
Size: 135804
MD5sum: 166a9cd69b5ce7a0d2566c6780e4afeb
SHA1: 410d8ba0ab9dd89358929a05a1c70c52dedb71de
SHA256: 3992e5ccaa1984622b868b63c1c035a790c694624d18ad671b19771c76b9799d
SHA512: 4f6d11f3ffeedb9d7b2549e1f10bb24d913d8ebfe0503e2b9287a1a5c63095539cf8bda8d54d35e91cf1f674f90681bd8b1c7a2d259f5b32bbc3330ad2c159c3
Homepage: https://cran.r-project.org/package=BiCausality
Description: CRAN Package 'BiCausality' (Binary Causality Inference Framework)
 A framework to infer causality on binary data using techniques in frequent
 pattern mining and estimation statistics. Given a set of individual vectors
 S={x} where x(i) is a realization value of binary variable i, the framework
 infers empirical causal relations of binary variables i,j from S in a form
 of causal graph G=(V,E) where V is a set of nodes representing binary
 variables and there is an edge from i to j in E if the variable i causes j.
 The framework determines dependency among variables as well as analyzing
 confounding factors before deciding whether i causes j.  The publication of
 this package is at Chainarong Amornbunchornvej, Navaporn Surasvadi, Anon
 Plangprasopchok, and Suttipong Thajchayapong (2023)
 <doi:10.1016/j.heliyon.2023.e15947>.

Package: r-cran-biclustermd
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 537
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-biclust, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-magrittr, r-cran-nycflights13, r-cran-phyclust
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biclustermd_0.2.3-1.ca2004.1_all.deb
Size: 367684
MD5sum: 73ccabe96d766c5ba08bc227adacc7ba
SHA1: 9c9d2467d41716fef1b2d18f9929355c12063d3f
SHA256: 4bb9bb9e45e9850613e4e5822c1bd6961b8f8068efc6b923a9763eabb193a85a
SHA512: f3dae097036b0aa973c1e2bc1a9bd642b863d730fa653e48c31cff93c31eaffd9031f8ec0ca3273aac8cc985a9065b651ce260ee4a11b217bac0ba75ce878dd8
Homepage: https://cran.r-project.org/package=biclustermd
Description: CRAN Package 'biclustermd' (Biclustering with Missing Data)
 Biclustering is a statistical learning technique that simultaneously
 partitions and clusters rows and columns of a data matrix. Since the
 solution space of biclustering is in infeasible to completely search with
 current computational mechanisms, this package uses a greedy heuristic. The
 algorithm featured in this package is, to the best our knowledge, the first
 biclustering algorithm to work on data with missing values. Li, J., Reisner,
 J., Pham, H., Olafsson, S., and Vardeman, S. (2020) Biclustering with
 Missing Data. Information Sciences, 510, 304–316.

Package: r-cran-bicorn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bicorn_0.1.0-1.ca2004.1_all.deb
Size: 74972
MD5sum: caeabe3f0664ad0593eae56dc05ede05
SHA1: 2611d58818393686ac6f3bb0faa13d330087a556
SHA256: 95dd185e4ba961634d9140a00d2cd2505df068173b77e29a1ee04397fb9b6403
SHA512: 533c911fde858960627f680d118b5f2db70d514447d51f71c0771f409b511281d95f41cb3b08fab05606aef9d762d78ee50f23591abc5d1925a7ada831921ed0
Homepage: https://cran.r-project.org/package=BICORN
Description: CRAN Package 'BICORN' (Integrative Inference of De Novo Cis-Regulatory Modules)
 Prior transcription factor binding knowledge and target gene expression data
 are integrated in a Bayesian framework for functional cis-regulatory module
 inference. Using Gibbs sampling, we iteratively estimate transcription
 factor associations for each gene, regulation strength for each binding
 event and the hidden activity for each transcription factor.

Package: r-cran-bidask
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-xts, r-cran-zoo, r-cran-dplyr, r-cran-crypto2, r-cran-quantmod, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bidask_2.1.4-1.ca2004.1_all.deb
Size: 1143916
MD5sum: 24c2dabb8f865f7e6cfe9695850165bb
SHA1: 984a2b61d58d7b8a9ff26d113e0487cd8c3f11ba
SHA256: a5c0933b087ef27a1b7db1da99fe664827386d168dbb4cca653002783bb0aef3
SHA512: 18a9c2c3b415608b6c8fddbde42e7e6c4e76e092802942f8143df23d92c8a48b8b481b263ef88e6f3621a25822ee6a3e0767a0bc76cdd416c90ae2e38454ddab
Homepage: https://cran.r-project.org/package=bidask
Description: CRAN Package 'bidask' (Efficient Estimation of Bid-Ask Spreads from Open, High, Low,and Close Prices)
 Implements the efficient estimator of bid-ask spreads from open, high, low,
 and close prices described in Ardia, Guidotti, & Kroencke (JFE, 2024)
 <doi:10.1016/j.jfineco.2024.103916>.  It also provides an implementation of
 the estimators described in Roll (JF, 1984)
 <doi:10.1111/j.1540-6261.1984.tb03897.x>, Corwin & Schultz (JF, 2012)
 <doi:10.1111/j.1540-6261.2012.01729.x>, and Abdi & Ranaldo (RFS, 2017)
 <doi:10.1093/rfs/hhx084>.

Package: r-cran-bidimregression
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bidimregression_2.0.1-1.ca2004.1_all.deb
Size: 127952
MD5sum: 263866960cf9c1d0dfa388fa0f72b9de
SHA1: ce73eb7e1a65cafadd8dedee5f49ee8af5020cc2
SHA256: 04a68e1b5b3bec626c9f8850a4ec77126d41375255629b151fe5a80ff21ca195
SHA512: 29f960628e694eee36585ce017d143422cc88b292bd7d3587a63b7cf75a1ac5576d5c65fed154c84451b4af693a8fe69ae802c30fbd0bfc0710e4140dbf5f2b4
Homepage: https://cran.r-project.org/package=BiDimRegression
Description: CRAN Package 'BiDimRegression' (Calculates the Bidimensional Regression Between Two 2DConfigurations)
 Calculates the bidimensional regression between two 2D configurations
 following the approach by Tobler (1965).

Package: r-cran-bidistances
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-paralleldist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-remotes, r-cran-sphet, r-cran-opencl
Filename: pool/dists/focal/main/r-cran-bidistances_0.0.2-1.ca2004.1_all.deb
Size: 63308
MD5sum: 465d41f09a3f09bb152de014a7519b4d
SHA1: 6e0ac365b8483b4976775e9636a5f6551a6eda4c
SHA256: c090ac1af18b359d6789027866914979ee7b9436eba30efb25db7e36e9b962c2
SHA512: b21a4ca6396695d7f4fa9326a6870bbfe5f25bbc1a0d4ed6d960085190ed8f3abbc7dd6f15b3567165a1e0a9d458b785186210f9fb3ea1c66036b44aecb9acfd
Homepage: https://cran.r-project.org/package=BIDistances
Description: CRAN Package 'BIDistances' (Bioinformatic Distances)
 A few high-performant methods for computing distances measures for
 bioinformatics data. The weighted euclidean distance can be computed with
 'OpenCL' on the GPU or with a parallelized version on the CPU. Other
 important distance measures for bioinformatics data are selected from the R
 package 'parallelDist'. A special distance measure for the Gene Ontology is
 available.

Package: r-cran-bidsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2497
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-fastmap, r-cran-fs, r-cran-jsonlite, r-cran-nanotime, r-cran-s7, r-cran-uuid
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bidsr_0.1.0-1.ca2004.1_all.deb
Size: 686036
MD5sum: d2972a8e4dbd9f39bfbf563bfdf155d1
SHA1: 1c44a750d32e64a67e4187d4cfd9b4a68c467eaa
SHA256: 61b89ab7be421c193fe2d7fe201ad903d9d05162797dcc953f9a0b0c8e5d634f
SHA512: 7498b76445fe82d8b67cef9b765043ca5c137ae7c8bcb4aea1bc5b86b57e84735feb98401b92c48b2a700daa13d6ff1650bd3f4f9bc0bc27cdb5e77a78ed8ae7
Homepage: https://cran.r-project.org/package=bidsr
Description: CRAN Package 'bidsr' (A Brain Imaging Data Structure ('BIDS') Parser)
 Parse and read the files that comply with the brain imaging data structure,
 or 'BIDS' format, see the publication from Gorgolewski, K., Auer, T.,
 Calhoun, V. et al. (2016) <doi:10.1038/sdata.2016.44>.  Provides query
 functions to extract and check the 'BIDS' entity information (such as
 subject, session, task, etc.) from the file paths and suffixes according to
 the specification. The package is developed and used in the reproducible
 analysis and visualization of intracranial electroencephalography, or
 'RAVE', see Magnotti, J. F., Wang, Z., and Beauchamp, M. S. (2020)
 <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("bidsr")' for details
 and attributions.

Package: r-cran-bidux
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-jsonlite, r-cran-readr, r-cran-stringdist, r-cran-stringr, r-cran-tibble
Suggests: r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bidux_0.1.0-1.ca2004.1_all.deb
Size: 368032
MD5sum: 40575c714394a4ba18c369b6a0d88e73
SHA1: 1ed1a00421540739fe902747d13e5f88e7eea0cf
SHA256: 145958a2c24c66645055051ec51227f311fe749931c9b6314ff1e9cca7fdac63
SHA512: e93a12cdec2a6c9457140b7aee9bd448f4c1d75b927dfd64cb85287e79cf33ce1795e4cda0aa35f816834bc7b61c016462f5e0c9e41e38a36198ff6d1b4b8c6f
Homepage: https://cran.r-project.org/package=bidux
Description: CRAN Package 'bidux' (Behavior Insight Design: A Toolkit for Integrating BehavioralScience in UI/UX Design)
 Provides a framework and toolkit to guide 'shiny' developers in implementing
 the Behavior Insight Design (BID) framework. The package offers functions
 for documenting each of the five stages (Notice, Interpret, Structure,
 Anticipate, and Validate), along with a comprehensive concept dictionary.

Package: r-cran-bien
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpostgresql, r-cran-dbi, r-cran-ape, r-cran-sf, r-cran-terra, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-maps
Filename: pool/dists/focal/main/r-cran-bien_1.2.7-1.ca2004.1_all.deb
Size: 377276
MD5sum: 0d32f0bf047ebff527a61e964aa25df4
SHA1: 4ee3ea762747f2e8bf91f9a93dc64cea4f1be346
SHA256: 3d52c411593003815ab810c486121fa1579516d8c1288772a005f7b68380c67f
SHA512: 2d932f2a99af4466ac449b517f24aef949b4ecb914062cd0c9b1b26a3f48df4f1243e0d51567d8ac6ac9a32a40561c06f07381dc8d5acc9e35d27a68f8f1daff
Homepage: https://cran.r-project.org/package=BIEN
Description: CRAN Package 'BIEN' (Tools for Accessing the Botanical Information and EcologyNetwork Database)
 Provides Tools for Accessing the Botanical Information and Ecology Network
 Database.  The BIEN database contains cleaned and standardized botanical
 data including occurrence, trait, plot and taxonomic data (See
 <https://bien.nceas.ucsb.edu/bien/> for more Information).  This package
 provides functions that query the BIEN database by constructing and
 executing optimized SQL queries.

Package: r-cran-bifactorindicescalculator
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-lavaan, r-cran-mirt, r-cran-mplusautomation, r-cran-mnormt
Suggests: r-cran-testthat, r-cran-psych
Filename: pool/dists/focal/main/r-cran-bifactorindicescalculator_0.2.2-1.ca2004.1_all.deb
Size: 225092
MD5sum: 704536c157eeb403f2324ece2a68eb34
SHA1: 6f95eed1d8c081d4c43495dae78e1e1dd0fa5b5a
SHA256: f88c55ab7ad80086fdb9bacc2b0ba95bb287a2fa735a86ed87ae56357a34e322
SHA512: 2317c49370017dbd5332d718535d65565f9c35cb93a7be75c7523071ab6a1ae6d55f2c82119b533bad62e58ee84a0d6bd4bfce63bb248a9cad0efc7667c49847
Homepage: https://cran.r-project.org/package=BifactorIndicesCalculator
Description: CRAN Package 'BifactorIndicesCalculator' (Bifactor Indices Calculator)
 The calculator computes bifactor indices such as explained common variance
 (ECV), hierarchical Omega (OmegaH), percentage of uncontaminated
 correlations (PUC), item explained common variance (I-ECV), and more. This
 package is an R version of the 'Excel' based 'Bifactor Indices Calculator'
 (Dueber, 2017) <doi:10.13023/edp.tool.01> with added convenience features
 for directly utilizing output from several programs that can fit
 confirmatory factor analysis or item response models.

Package: r-cran-bifurcatingr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1439
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fmultivar
Suggests: r-cran-igraph, r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bifurcatingr_2.1.0-1.ca2004.1_all.deb
Size: 853236
MD5sum: 8ce046d4fb43ce23bea05ffc2178b808
SHA1: 5150a683e035c85143c28eb0819b7fa608273a05
SHA256: 8c3003fba335e74b974a3f7551f2143278a86d24edcfd1e0ca39132a3084431b
SHA512: e8878560d07055726aa0680850cbbd9e8f1a9b0d90be349f352e1b602ff621da61d222a2344fb4e70909fdd76770299bc0f892531f843743b5d75932942c1bd5
Homepage: https://cran.r-project.org/package=bifurcatingr
Description: CRAN Package 'bifurcatingr' (Bifurcating Autoregressive Models)
 Estimation of bifurcating autoregressive models of any order, p, BAR(p) as
 well as several types of bias correction for the least squares estimators of
 the autoregressive parameters as described in Zhou and Basawa (2005)
 <doi:10.1016/j.spl.2005.04.024> and Elbayoumi and Mostafa (2020)
 <doi:10.1002/sta4.342>. Currently, the bias correction methods supported
 include bootstrap (single, double and fast-double) bias correction and
 linear-bias-function-based bias correction. Functions for generating and
 plotting bifurcating autoregressive data from any BAR(p) model are also
 included. This new version includes calculating several type of
 bias-corrected and -uncorrected confidence intervals for the least squares
 estimators of the autoregressive parameters as described in Elbayoumi and
 Mostafa (2023) <doi:10.6339/23-JDS1092>.

Package: r-cran-bigassertr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bigassertr_0.1.7-1.ca2004.1_all.deb
Size: 30996
MD5sum: 9c8fefc2173a576c88dc22150fa36ba8
SHA1: 25280ab761ce9e0b2d3fe90904e6e94138c1ebd0
SHA256: b66580964c2dba4c2e5a6b7941b5d4aefd61af59c6eba8fe7417a466370d2a1c
SHA512: 9d355b89921f3e6643892419f214a03a040ca391ef35d22d94d02e1a5c2410ef566d4a2e298fe738123c1428b133bff5eac43324f330b68a3005fa8a987e74e4
Homepage: https://cran.r-project.org/package=bigassertr
Description: CRAN Package 'bigassertr' (Assertion and Message Functions)
 Enhanced message functions (cat() / message() / warning() / error()) using
 wrappers around sprintf(). Also, multiple assertion functions (e.g. to check
 class, length, values, files, arguments, etc.).

Package: r-cran-bigbits
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rmpfr, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-bigbits_1.4-1.ca2004.1_all.deb
Size: 64152
MD5sum: 1554d07d6a5c541272aa4f5a43a86fb2
SHA1: 120545827a4d769f0ec207cf4f655d13cc23e042
SHA256: e1ca624d08ff9a0dc615b08282fed9d02236ab6a0f7f195b3e432a2168558a5a
SHA512: 760ddb4366ec7749050351fec4ec0a1957db92721c6226d4a68f4df05da0530d7883c1cf4871ae49e78983c9a553269777fea772346ccd0b3dcf645b5d36b5bb
Homepage: https://cran.r-project.org/package=bigBits
Description: CRAN Package 'bigBits' (Perform Boolean Operations on Large Numbers)
 A set of Boolean operators which accept integers of any size, in any base
 from 2 to 36, including 2's complement format, and perform actions like
 "AND," "OR", "NOT", "SHIFTR/L" etc. The output can be in any base specified.
 A direct base to base converter is included.

Package: r-cran-bigchess
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-processx
Suggests: r-cran-ff, r-cran-rsqlite, r-cran-rjson, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-bigchess_1.9.1-1.ca2004.1_all.deb
Size: 1131772
MD5sum: 45acfcae2ee990b473797c94cd14308a
SHA1: 340b4199a3e1ff25547dee8ed6e80878f91417ea
SHA256: 55dc2332ce6e3a00399111d2d09e0f530b161f0160d3ef44cd1605637d5489ee
SHA512: aec6ab53535a08e0da091a4bc815fef77d43d0422bbde151df583217589a9988af971f8b654df302870b73ae4956549c686fec0496723be846839f1408c3dd0d
Homepage: https://cran.r-project.org/package=bigchess
Description: CRAN Package 'bigchess' (Read, Write, Manipulate, Explore Chess PGN Files and R API toUCI Chess Engines)
 Provides functions for reading *.PGN files with more than one game,
 including large files without copying it into RAM (using 'ff' package or
 'RSQLite' package). Handle chess data and chess aggregated data, count
 figure moves statistics, create player profile, plot winning chances, browse
 openings. Set of functions of R API to communicate with UCI-protocol based
 chess engines.

Package: r-cran-bigd
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1186
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-bigd_0.3.1-1.ca2004.1_all.deb
Size: 1161980
MD5sum: f48c997f6f30039a5b39889db1fc6dd7
SHA1: d0d5fb7fc7ac2d8e988737972b6f5342b1e45f2c
SHA256: 92f99fcc6665a7cd86fcaec912aad09e4f9354e8cd1ae5f0e27fc7c9c6922563
SHA512: 94d8b16d0f9efc58597f53ebde7a9c538ad2a807f838c0efebb3ddb8a62aa9a80beeec2a04f68f6b1e237e605a21cd2ca4f3491ae02ffbee38225d1880b2e1f6
Homepage: https://cran.r-project.org/package=bigD
Description: CRAN Package 'bigD' (Flexibly Format Dates and Times to a Given Locale)
 Format dates and times flexibly and to whichever locales make sense. Parses
 dates, times, and date-times in various formats (including string-based ISO
 8601 constructions). The formatting syntax gives the user many options for
 formatting the date and time output in a precise manner. Time zones in the
 input can be expressed in multiple ways and there are many options for
 formatting time zones in the output as well. Several of the provided helper
 functions allow for automatic generation of locale-aware formatting patterns
 based on date/time skeleton formats and standardized date/time formats with
 varying specificity.

Package: r-cran-bigdatape
Architecture: all
Version: 0.0.96-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-httr2
Filename: pool/dists/focal/main/r-cran-bigdatape_0.0.96-1.ca2004.1_all.deb
Size: 89132
MD5sum: e5addf3c69c640ac3f85ac34a97676ba
SHA1: d9fae746c556329d38aa9ecd7e8e638b4a99efd4
SHA256: 3d408ea69c449ff997f2d1a1f894955b6b5b3db59618e9ce5a4739607f424919
SHA512: 7873c51a692b2fb67c9decb4ce1afbf6f3c982c219463e33eff7d1b9b741a6ddedabf36a0e01fa72027889bf11110bd5ffae0f5b90021521b131c45a009cc68a
Homepage: https://cran.r-project.org/package=BigDataPE
Description: CRAN Package 'BigDataPE' (Secure and Intuitive Access to 'BigDataPE' 'API' Datasets)
 Designed to simplify the process of retrieving datasets from the 'Big Data
 PE' platform using secure token-based authentication. It provides functions
 for securely storing, retrieving, and managing tokens associated with
 specific datasets, as well as fetching and processing data using the 'httr2'
 package.

Package: r-cran-bigdawg
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1211
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-httr, r-cran-haplo.stats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bigdawg_3.0.3-1.ca2004.1_all.deb
Size: 1085840
MD5sum: 3caac9f6e23f822e8c9b7130d491c776
SHA1: 3693484d10ca990b964446f6b80f8d0060770b80
SHA256: c1b9cb837f484fabae1d983bce4caca567d83f32bec2786c0b3b5b1942cda673
SHA512: 2da794cd3808f4ea0447204f53040540fd6b9228fee4a22ac68c818571ffefa9b6a00b638284420fd8a51e1180f7c986f72895e6d8c93cf53ae49a7e697368a7
Homepage: https://cran.r-project.org/package=BIGDAWG
Description: CRAN Package 'BIGDAWG' (Case-Control Analysis of Multi-Allelic Loci)
 Data sets and functions for chi-squared Hardy-Weinberg and case-control
 association tests of highly polymorphic genetic data [e.g., human leukocyte
 antigen (HLA) data]. Performs association tests at multiple levels of
 polymorphism (haplotype, locus and HLA amino-acids) as described in Pappas
 DJ, Marin W, Hollenbach JA, Mack SJ (2016)
 <doi:10.1016/j.humimm.2015.12.006>. Combines rare variants to a common class
 to account for sparse cells in tables as described by Hollenbach JA, Mack
 SJ, Thomson G, Gourraud PA (2012) <doi:10.1007/978-1-61779-842-9_14>.

Package: r-cran-bigdist
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-bigstatsr, r-cran-proxy, r-cran-furrr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigdist_0.1.4-1.ca2004.1_all.deb
Size: 48640
MD5sum: 9d01658690ff50bab768e08cc7376e45
SHA1: cf9401cc8028c58fa186e2ea06259baeade4d611
SHA256: b77d282ee7045f732ff62f762d19b95bcc179d0a32af7856766215375ba07068
SHA512: 247431daabd77e1feed644ffcd921d258cd852e6911f5732e0549ea3ae2b437ee3394bc1a7f37301e750e9d3ab3cf90eb35005e3efea04851eee369d1030368c
Homepage: https://cran.r-project.org/package=bigdist
Description: CRAN Package 'bigdist' (Store Distance Matrices on Disk)
 Provides utilities to compute, store and access distance matrices on disk as
 file-backed matrices provided by the 'bigstatsr' package. File-backed
 distance matrices are stored as a symmetric matrix to facilitate
 out-of-memory operations on file-backed matrix while the in-memory 'dist'
 object stores only the lower diagonal elements. 'disto' provides an unified
 interface to work with in-memory and disk-based distance matrices.

Package: r-cran-bigdm
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4933
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-doparallel, r-cran-fastdummies, r-cran-foreach, r-cran-future, r-cran-future.apply, r-cran-geos, r-cran-mass, r-cran-matrix, r-cran-parallelly, r-cran-rcolorbrewer, r-cran-rdpack, r-cran-sf, r-cran-spatialreg, r-cran-spdep, r-cran-rlist
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-bigdm_0.5.6-1.ca2004.1_all.deb
Size: 5004720
MD5sum: 3089760efbbc4c6bfca08848a16555fa
SHA1: 4205e7e998df48137de0e81076e702be684442c9
SHA256: 6514450423fc4eef14408606bf4522c6b73c8d933b46dd8a6baed9e004b343b5
SHA512: 4dbf108a6ededb8d6d68200601606ef7a1d67960a5a4d0445ccaff5d4af1d2aea965de13a327cd1ccb087b4babd591ae33900c9e6b90556c4cedacb88807e9b6
Homepage: https://cran.r-project.org/package=bigDM
Description: CRAN Package 'bigDM' (Scalable Bayesian Disease Mapping Models for High-DimensionalData)
 Implements several spatial and spatio-temporal scalable disease mapping
 models for high-dimensional count data using the INLA technique for
 approximate Bayesian inference in latent Gaussian models (Orozco-Acosta et
 al., 2021 <doi:10.1016/j.spasta.2021.100496>; Orozco-Acosta et al., 2023
 <doi:10.1016/j.cmpb.2023.107403> and Vicente et al., 2023
 <doi:10.1007/s11222-023-10263-x>). The creation and develpment of this
 package has been supported by Project MTM2017-82553-R (AEI/FEDER, UE) and
 Project PID2020-113125RB-I00/MCIN/AEI/10.13039/501100011033. It has also
 been partially funded by the Public University of Navarra (project
 PJUPNA2001).

Package: r-cran-bigl
Architecture: all
Version: 1.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4797
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-minpack.lm, r-cran-numderiv, r-cran-progress, r-cran-plotly, r-cran-robustbase, r-cran-scales, r-cran-nleqslv, r-cran-data.table, r-cran-lifecycle, r-cran-htmlwidgets, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shiny, r-cran-dt
Filename: pool/dists/focal/main/r-cran-bigl_1.9.3-1.ca2004.1_all.deb
Size: 1400620
MD5sum: a675b8ecfc0ebe099653bb2342e5f28c
SHA1: 0e870c720a2dc9f76f9d78daa16b71968efaaebe
SHA256: 1a82d1f3557d20286e5c2dc05f9b88f26d0c9a15f65cd8b841a401c34f9cab42
SHA512: 8f78e963685407e7da305e856908cb117b109ff0ccd5d487586191f753a366c87ebe8eb96de8ee273c1810aa0b53c0335ca121614673dfdd2c3246ad16037d72
Homepage: https://cran.r-project.org/package=BIGL
Description: CRAN Package 'BIGL' (Biochemically Intuitive Generalized Loewe Model)
 Response surface methods for drug synergy analysis. Available methods
 include generalized and classical Loewe formulations as well as Highest
 Single Agent methodology. Response surfaces can be plotted in an interactive
 3-D plot and formal statistical tests for presence of synergistic effects
 are available. Implemented methods and tests are described in the article
 "BIGL: Biochemically Intuitive Generalized Loewe null model for prediction
 of the expected combined effect compatible with partial agonism and
 antagonism" by Koen Van der Borght, Annelies Tourny, Rytis Bagdziunas,
 Olivier Thas, Maxim Nazarov, Heather Turner, Bie Verbist & Hugo Ceulemans
 (2017) <doi:10.1038/s41598-017-18068-5>.

Package: r-cran-bigleaf
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1128
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-robustbase, r-cran-solartime
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigleaf_0.8.2-1.ca2004.1_all.deb
Size: 1026920
MD5sum: fbedeb0abd5df09aca33260bdb6dadd8
SHA1: 3abbb93d8614668f6c364fd2d7e22fc8562452a8
SHA256: 5660319bd4e9e936c6fd91befc6bc6fbfa8294a989c2264e00d5aa8cb29ba562
SHA512: ad9d0c71d6d6546c419a3fe8efee863ec5fc66b1534262f0d984433055d3ef98e05caee57c5c7898884c52c95fa5885df5dee38e5e3f588d4484724632770e55
Homepage: https://cran.r-project.org/package=bigleaf
Description: CRAN Package 'bigleaf' (Physical and Physiological Ecosystem Properties from EddyCovariance Data)
 Calculation of physical (e.g. aerodynamic conductance, surface temperature),
 and physiological (e.g. canopy conductance, water-use efficiency) ecosystem
 properties from eddy covariance data and accompanying meteorological
 measurements. Calculations assume the land surface to behave like a
 'big-leaf' and return bulk ecosystem/canopy variables.

Package: r-cran-bigmatch
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcbalance, r-cran-liqueuer, r-cran-plyr, r-cran-mvnfast
Suggests: r-cran-optmatch
Filename: pool/dists/focal/main/r-cran-bigmatch_0.6.4-1.ca2004.1_all.deb
Size: 209148
MD5sum: 5c28ea739ee214753efafe04b83f97d9
SHA1: 3785aafbb82fd45a364765f8a89637935bb490e5
SHA256: de79b1cfb9c9eb22eac522696cabac2766e5a8df376fddabac956ada3c721cc3
SHA512: d2b5e507692fd87b17c0a7b1c6c1f796da6d2e7ffd2f28d1153f09f48d8e5d763021bce342bcaf2f6116868ee2aa4fcce92a96c90923ab7a096439d75f85afa1
Homepage: https://cran.r-project.org/package=bigmatch
Description: CRAN Package 'bigmatch' (Making Optimal Matching Size-Scalable Using Optimal Calipers)
 Implements optimal matching with near-fine balance in large observational
 studies with the use of optimal calipers to get a sparse network. The
 caliper is optimal in the sense that it is as small as possible such that a
 matching exists. The main functions in the 'bigmatch' package are optcal()
 to find the optimal caliper, optconstant() to find the optimal number of
 nearest neighbors, and nfmatch() to find a near-fine balance match with a
 caliper and a restriction on the number of nearest neighbors.  Yu, R.,
 Silber, J. H., and Rosenbaum, P. R. (2020). <DOI:10.1214/19-sts699>.

Package: r-cran-bigmds
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-svd, r-cran-corpcor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigmds_3.0.0-1.ca2004.1_all.deb
Size: 68948
MD5sum: df930ed502dfd60ef6e2a7c0ec40a149
SHA1: 0a355eea5cd4c481e8fb80bd9c7ff58a5e970678
SHA256: f93e501fd7c92b9641865a88c1854b89ceed9f5697bb900b697d70cd07dae01b
SHA512: c383579942701f64033072b3dff0631682b32ad65306948916c21d77435c93384f76d56d99eabb789ad32ec761888c5aa7525a11f885d730be7688e86102ed7f
Homepage: https://cran.r-project.org/package=bigmds
Description: CRAN Package 'bigmds' (Multidimensional Scaling for Big Data)
 MDS is a statistic tool for reduction of dimensionality, using as input a
 distance matrix of dimensions n × n. When n is large, classical algorithms
 suffer from computational problems and MDS configuration can not be
 obtained.  With this package, we address these problems by means of six
 algorithms, being two of them original proposals: - Landmark MDS proposed by
 De Silva V. and JB. Tenenbaum (2004).  - Interpolation MDS proposed by
 Delicado P. and C. Pachón-García (2021) <arXiv:2007.11919> (original
 proposal).  - Reduced MDS proposed by Paradis E (2018).  - Pivot MDS
 proposed by Brandes U. and C. Pich (2007) - Divide-and-conquer MDS proposed
 by Delicado P. and C. Pachón-García (2021) <arXiv:2007.11919> (original
 proposal).  - Fast MDS, proposed by Yang, T., J. Liu, L. McMillan and W.
 Wang (2006).

Package: r-cran-bigmemory.sri
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bigmemory.sri_0.1.8-1.ca2004.1_all.deb
Size: 12352
MD5sum: 26ded90b00c9d7bfd908ed6445351b76
SHA1: 743ffc600c09b5a16f1ed7ea4fd5cadcf7389450
SHA256: 6daa9109cc7f93012f67f7e75d3d956ba692d94610821d93632593703ad9df00
SHA512: cee3d955adbd6164bffb435b3fd22deb10eb89e49013c630cabead47547d0ee70dd851e0dd3f838f8e1389c8598a414b0223d9fc46d3eb91613ac3e449bbaf5c
Homepage: https://cran.r-project.org/package=bigmemory.sri
Description: CRAN Package 'bigmemory.sri' (A Shared Resource Interface for Bigmemory Project Packages)
 A shared resource interface for the bigmemory and synchronicity packages.

Package: r-cran-bigparallelr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-bigassertr, r-cran-doparallel, r-cran-flock, r-cran-parallelly, r-cran-rhpcblasctl
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bigparallelr_0.3.2-1.ca2004.1_all.deb
Size: 41772
MD5sum: cbecd872bf613b58c35a63d0b8826d59
SHA1: 60a414b58ff98c950a4034b518cab6387b445d16
SHA256: 873abf45d748bdc15735a33ef9f142254b77377c1d40d12ea8a7d03d52a71994
SHA512: 22cc1bdccd16309c422f335713c4e5cd30b038408c40f8ae661f41285b4560bef8042df9b86a74a56649fa928679fa93df1225ee5fc1410755e9a9977fe45038
Homepage: https://cran.r-project.org/package=bigparallelr
Description: CRAN Package 'bigparallelr' (Easy Parallel Tools)
 Utility functions for easy parallelism in R. Include some reexports from
 other packages, utility functions for splitting and parallelizing over
 blocks, and choosing and setting the number of cores used.

Package: r-cran-bigqueryr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-googleauthr, r-cran-googlecloudstorager, r-cran-jsonlite, r-cran-httr, r-cran-assertthat
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-data.table, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-bigqueryr_0.5.0-1.ca2004.1_all.deb
Size: 152180
MD5sum: 0791a21158e8083098881911cd6a5127
SHA1: 167e9dd8daa3600c20d6b6678303e7b5015279e3
SHA256: 09d368c181b653dd67fc9442572b836cf56d118bfda6614c87f3e02a063f474b
SHA512: c40ac0cb2facfb8080af078bb0282a08139b14fa233bf0d6ef6e45b7b51fab0777c910b10e0cbede05444829a56ed92fb020686ecaba919d611a9e4881a14779
Homepage: https://cran.r-project.org/package=bigQueryR
Description: CRAN Package 'bigQueryR' (Interface with Google BigQuery with Shiny Compatibility)
 Interface with 'Google BigQuery', see <https://cloud.google.com/bigquery/>
 for more information.  This package uses 'googleAuthR' so is compatible with
 similar packages, including 'Google Cloud Storage'
 (<https://cloud.google.com/storage/>) for result extracts.

Package: r-cran-bigr
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2783
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rdpack, r-cran-readr, r-cran-reshape2, r-cran-tidyr, r-cran-vcfr, r-bioc-rsamtools, r-bioc-biostrings, r-bioc-pwalign, r-cran-janitor, r-cran-quadprog, r-cran-tibble
Suggests: r-cran-covr, r-cran-spelling, r-cran-rmdformats, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigr_0.5.5-1.ca2004.1_all.deb
Size: 1230176
MD5sum: 9a5b16a7028e1edfdd47f6ff9599a9eb
SHA1: c2d237764a114210c3f450208d8ee5b79a8e078d
SHA256: dbbdc0b83b77a19b8fd98be07a46845263e48b1b35c96691221c5c8b42b37c50
SHA512: 5e08446c6b5dfa64ff446bb58c71ac15584eb43fad90a7645ca5a6529a67d93475e18610e79502cec0a24c090cfe76b1b638dbe5bbe8276e71997cb3710a40f3
Homepage: https://cran.r-project.org/package=BIGr
Description: CRAN Package 'BIGr' (Breeding Insight Genomics Functions for Polyploid and DiploidSpecies)
 Functions developed within Breeding Insight to analyze diploid and polyploid
 breeding and genetic data. 'BIGr' provides the ability to filter variant
 call format (VCF) files, extract single nucleotide polymorphisms (SNPs) from
 diversity arrays technology missing allele discovery count (DArT MADC)
 files, and manipulate genotype data for both diploid and polyploid species.
 It also serves as the core dependency for the 'BIGapp' 'Shiny' app, which
 provides a user-friendly interface for performing routine genotype analysis
 tasks such as dosage calling, filtering, principal component analysis (PCA),
 genome-wide association studies (GWAS), and genomic prediction. For more
 details about the included 'breedTools' functions, see Funkhouser et al.
 (2017) <doi:10.2527/tas2016.0003>, and the 'updog' output format, see Gerard
 et al. (2018) <doi:10.1534/genetics.118.301468>.

Package: r-cran-bigsimr
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-juliacall
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigsimr_0.12.0-1.ca2004.1_all.deb
Size: 22072
MD5sum: d5068dae40fc8de6053fe67e22ee8d19
SHA1: a8926c76792b054bbd3f6471717ba738d7e70262
SHA256: 3a9e2919264967effaf0541f7ad7e8bd42b065c6ea29854a72426fc344ccedcd
SHA512: 850561e13e9ae5fdbb1a6193b89be1b4329335eb346e68043eecff5346ea578c9c4fd7e357c7164e27570b6c903c5aadd6d54522082280ad8969ce488338fef4
Homepage: https://cran.r-project.org/package=bigsimr
Description: CRAN Package 'bigsimr' (Fast Generation of High-Dimensional Random Vectors)
 Simulate multivariate data with arbitrary marginal distributions.  'bigsimr'
 is a package for simulating high-dimensional multivariate data with a target
 correlation and arbitrary marginal distributions via Gaussian copula.  It
 utilizes the Julia package 'Bigsimr.jl' for its core routines.

Package: r-cran-bigstep
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigmemory, r-cran-magrittr, r-cran-matrixstats, r-cran-r.utils, r-cran-rcppeigen, r-cran-speedglm
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bigstep_1.1.2-1.ca2004.1_all.deb
Size: 86656
MD5sum: 1a52c7e68eab21b63a0eac554545e77b
SHA1: 59b67023d232ba049684917506cd603103609d7c
SHA256: fad8c64283a51a94fab79764d170590c50ab62f73f06fa78e3162ffa3241ce49
SHA512: a4b1f563c344c3471023173aada9091f9a331ed0413cbeca15fe212dba30ba35c6777d63821f113e95a9f4a3cf3b07275bd2b59fe44fb2b50f43f4ba2b042b7a
Homepage: https://cran.r-project.org/package=bigstep
Description: CRAN Package 'bigstep' (Stepwise Selection for Large Data Sets)
 Selecting linear and generalized linear models for large data sets using
 modified stepwise procedure and modern selection criteria (like
 modifications of Bayesian Information Criterion). Selection can be performed
 on data which exceed RAM capacity. Bogdan et al., (2004)
 <doi:10.1534/genetics.103.021683>.

Package: r-cran-bikeshare14
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3508
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-data.table
Filename: pool/dists/focal/main/r-cran-bikeshare14_0.1.4-1.ca2004.1_all.deb
Size: 3561616
MD5sum: ad39cf2df041643f68020092979a7e7a
SHA1: d4aa92bc60a8c268e937258c0b555a71f9265658
SHA256: 4e911d7bbe9098ad265e9a9de9edc634231814d6400f49eb4c19923922a805a6
SHA512: d72c4f02a6d2156f00df75acd5e736e7c1b4782d4ce693ad221f047afbfabb33ce98951ddb9669f2c4cfac0a4fa9b362f8f518864b514f3c3327132591cda7b7
Homepage: https://cran.r-project.org/package=bikeshare14
Description: CRAN Package 'bikeshare14' (Bay Area Bike Share Trips in 2014)
 Anonymised Bay Area bike share trip data for the year 2014.  Also contains
 additional metadata on stations and weather.

Package: r-cran-bikm1
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 544
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-ade4, r-cran-pracma, r-cran-ggplot2, r-cran-reshape2, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-bikm1_1.1.0-1.ca2004.1_all.deb
Size: 442320
MD5sum: 333acf6b62dddd068770b5139948d22d
SHA1: 5404251e6b738b04136cfb0efe75ed6f6b327e7a
SHA256: 5add2fbd729ea5e309a39f08ff340a7026904eda14e0051c9eee1edd67f2be88
SHA512: 7f82a55a96a4d5b9497fb122611e9665dd5cad1e062807540564e77da5d2061819fca8cbe7d7c6d6bdba332174d127308e9b6bb206f9c21fdc8b7bea8a88019c
Homepage: https://cran.r-project.org/package=bikm1
Description: CRAN Package 'bikm1' (Co-Clustering Adjusted Rand Index and Bikm1 Procedure forContingency and Binary Data-Sets)
 Co-clustering of the rows and columns of a contingency or binary matrix, or
 double binary matrices and model selection for the number of row and column
 clusters. Three models are considered: the Poisson latent block model for
 contingency matrix, the binary latent block model for binary matrix and a
 new model we develop: the multiple latent block model for double binary
 matrices. A new procedure named bikm1 is implemented to investigate more
 efficiently the grid of numbers of clusters. Then, the studied model
 selection criteria are the integrated completed likelihood (ICL) and the
 Bayesian integrated likelihood (BIC). Finally, the co-clustering adjusted
 Rand index (CARI) to measure agreement between co-clustering partitions is
 implemented. Robert Valerie, Vasseur Yann, Brault Vincent (2021)
 <doi:10.1007/s00357-020-09379-w>.

Package: r-cran-billboard
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2663
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-billboard_0.1.0-1.ca2004.1_all.deb
Size: 2676036
MD5sum: caba3f53bc09457d5e6ffdbad933d64c
SHA1: 34b8ca00eb47f6fc64a5c844c753e78397e8e6ee
SHA256: 0a1b1c756884ac5c0dcbe32f79a32f61f04d41b79fa53df381bdec9e8f3d9087
SHA512: d32c6b07e1ce70588a178358e14b07b2448b9ade97f26ea958d893ebada1549b46bb0e2414dd38228896e9ec3f2474ac6e05b696e2c92c62d432b0f077d85207
Homepage: https://cran.r-project.org/package=billboard
Description: CRAN Package 'billboard' (Contains Data of Billboard Hot 100 Songs)
 Contains data sets regarding songs on the Billboard Hot 100 list from 1960
 to 2016. The data sets include the ranks for the given year, musical
 features of a lot of the songs and lyrics for several of the songs as well.

Package: r-cran-billboarder
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-magrittr, r-cran-jsonlite, r-cran-ggplot2, r-cran-scales, r-cran-shiny, r-cran-rlang
Suggests: r-cran-rcolorbrewer, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-billboarder_0.5.0-1.ca2004.1_all.deb
Size: 1041468
MD5sum: d76b3cf284ba2006b74d9bcc74b99003
SHA1: 20eda9733ff483ef84086653f3986dcf9c32b387
SHA256: 08324602550b684786d2ef452b38044a526c5678b0bd64543f2f9b773fabb82a
SHA512: ae5b85fe8ee9ca4e4c7d1b4d1dace11374fe71067aaf9241d2148892edffb7f3a037bf753ab6e6d704d8d3fbd07b8841feceafaa9844631c841772cdda7666a0
Homepage: https://cran.r-project.org/package=billboarder
Description: CRAN Package 'billboarder' (Create Interactive Chart with the JavaScript 'Billboard' Library)
 Provides an 'htmlwidgets' interface to 'billboard.js', a re-usable easy
 interface JavaScript chart library, based on D3 v4+.  Chart types include
 line charts, scatterplots, bar/lollipop charts, histogram/density plots,
 pie/donut charts and gauge charts.  All charts are interactive, and a proxy
 method is implemented to smoothly update a chart without rendering it again
 in 'shiny' apps.

Package: r-cran-bimets
Architecture: all
Version: 4.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4330
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-bimets_4.0.4-1.ca2004.1_all.deb
Size: 3329968
MD5sum: 16cfc1e56677aaa6b091ed4e2f762a5d
SHA1: 7eed01a99327ddb359d09fa2aa9dbb4c52379c0c
SHA256: 6f0b8402c36f3defa9549fc4deb9fbad4fe66247b377e291532930c576d45e70
SHA512: 01c01f8d09f6b0c6709eae85cd7531e8b07d919febacdc5b19157fb2d4a1e91a03aeda66d89fa20be34cacd7f8d90005465d21bfea4718c0d45458ac22de3370
Homepage: https://cran.r-project.org/package=bimets
Description: CRAN Package 'bimets' (Time Series and Econometric Modeling)
 Time series analysis, (dis)aggregation and manipulation, e.g. time series
 extension, merge, projection, lag, lead, delta, moving and cumulative
 average and product, selection by index, date and year-period, conversion to
 daily, monthly, quarterly, (semi)annually. Simultaneous equation models
 definition, estimation, simulation and forecasting with coefficient
 restrictions, error autocorrelation, exogenization, add-factors, impact and
 interim multipliers analysis, conditional equation evaluation, rational
 expectations, endogenous targeting and model renormalization, structural
 stability, stochastic simulation and forecast, optimal control.

Package: r-cran-bimixt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proc
Filename: pool/dists/focal/main/r-cran-bimixt_1.0-1.ca2004.1_all.deb
Size: 156636
MD5sum: 13af7c2b974edc99735f373cdcba7472
SHA1: 702d85b2548fce0027b64b4a31c833b8033ea680
SHA256: f43b7320779f07f0c7de30860f75c0908e2e5a0c5f69c17621c4c08157040594
SHA512: 3eaf88dc94919e68ef34a029dc3edaeb531cdbdc71725bfeccb49f38b5fec35e38d74977f46b2dc1103e4d7bb6053443f475812f01efde56fa4d452ca39afc05
Homepage: https://cran.r-project.org/package=bimixt
Description: CRAN Package 'bimixt' (Estimates Mixture Models for Case-Control Data)
 Estimates non-Gaussian mixture models of case-control data. The four types
 of models supported are binormal, two component constrained, two component
 unconstrained, and four component.  The most general model is the four
 component model, under which both cases and controls are distributed
 according to a mixture of two unimodal distributions.  In the four component
 model, the two component distributions of the control mixture may be
 distinct from the two components of the case mixture distribution.  In the
 two component unconstrained model, the components of the control and case
 mixtures are the same; however the mixture probabilities may differ for
 cases and controls.  In the two component constrained model, all controls
 are distributed according to one of the two components while cases follow a
 mixture distribution of the two components.  In the binormal model, cases
 and controls are distributed according to distinct unimodal distributions.
 These models assume that Box-Cox transformed case and control data with a
 common lambda parameter are distributed according to Gaussian mixture
 distributions.  Model parameters are estimated using the
 expectation-maximization (EM) algorithm.  Likelihood ratio test comparison
 of nested models can be performed using the lr.test function. AUC and PAUC
 values can be computed for the model-based and empirical ROC curves using
 the auc and pauc functions, respectively. The model-based and empirical ROC
 curves can be graphed using the roc.plot function. Finally, the model-based
 density estimates can be visualized by plotting a model object created with
 the bimixt.model function.

Package: r-cran-bimodalindex
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oompabase, r-cran-mclust
Suggests: r-cran-oompadata
Filename: pool/dists/focal/main/r-cran-bimodalindex_1.1.11-1.ca2004.1_all.deb
Size: 229512
MD5sum: 042ac829de92d8a6db409a11c7e1604a
SHA1: f4eb8e42a81d902b0efffccdb247288fc0e17444
SHA256: dcd21ccc3d74a4c23a59f8d68f3d445c141ff78302cbe3b528a4a66a1bd34528
SHA512: c2db2ca0ccd78c47caba08575649917935b389d263adb399a94cb26d154a3b2e773a95a706658b4662bbf5c8f06a7625887d23fd72c4f777a291ccd091e25b93
Homepage: https://cran.r-project.org/package=BimodalIndex
Description: CRAN Package 'BimodalIndex' (The Bimodality Index)
 Defines the functions used to compute the bimodal index as defined by Wang
 et al. (2009) <https://pmc.ncbi.nlm.nih.gov/articles/PMC2730180/>,
 <doi:10.4137/CIN.S2846>.

Package: r-cran-binancer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-digest, r-cran-snakecase, r-cran-logger, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-binancer_1.2.0-1.ca2004.1_all.deb
Size: 90548
MD5sum: 09095ced9cc46a2d00668788c8cdd88b
SHA1: 5bb37ad56741dacc455a90f457513b73dea5bdd1
SHA256: 95ee8ff98fd28a8052f6322a13048d675de4b208ddd6fc0ed8299e1bbfa91aeb
SHA512: e21d2c6dab58e632a6843ed9bc6428c1ef3cc0d050a77a200f55fdf7e6be100867b521fa4de4377e5e51b482d474f63d54a1cc5c64a06b8d57f7e0ecc0f73a51
Homepage: https://cran.r-project.org/package=binancer
Description: CRAN Package 'binancer' (API Client to 'Binance')
 R client to the 'Binance' Public Rest API for data collection on
 cryptocurrencies, portfolio management and trading:
 <https://github.com/binance/binance-spot-api-docs/blob/master/rest-api.md>.

Package: r-cran-binarybalancedcut
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-binarybalancedcut_0.2-1.ca2004.1_all.deb
Size: 14364
MD5sum: ad3ac4ca07276095a488e930d3691e11
SHA1: 95b9ad775ae37e95330b1588819f90d3976bfabc
SHA256: 2f4e9b30d97838bede44682653f6c4dbc953a1f463327fb7be9a98fbc7475f04
SHA512: 3b3c98965706cf0e72844926d0783891448e0d527b587e3f8ecddbdad26ce2182ff9249aac1c85d5ab3f4b7b448fb14fa17a02f5dcb2a0122d9a0d089a206915
Homepage: https://cran.r-project.org/package=BinarybalancedCut
Description: CRAN Package 'BinarybalancedCut' (Threshold Cut Point of Probability for a Binary Classifier Model)
 Allows to view the optimal probability cut-off point at which the
 Sensitivity and Specificity meets and its a best way to minimize both Type-1
 and Type-2 error for a binary Classifier in determining the Probability
 threshold.

Package: r-cran-binaryemvs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-binaryemvs_0.1-1.ca2004.1_all.deb
Size: 32100
MD5sum: 57eec07ce84528cbc673a36eb2cda814
SHA1: c6dddaab83f5f51c434f89f76bc856100aa824f7
SHA256: 1d4bd9b161b7f34430afb9fe82f3ada63fddb91cf6179c26b39f21336e598d1c
SHA512: fdde0776d03fc2758ecebb16c9e280db4ff0c34f9d8bbadadc2734195035f801e6ff09b990ffeee395e388affcf8cb381513992ed34b2881a944a6ecac13b2bb
Homepage: https://cran.r-project.org/package=BinaryEMVS
Description: CRAN Package 'BinaryEMVS' (Variable Selection for Binary Data Using the EM Algorithm)
 Implements variable selection for high dimensional datasets with a binary
 response variable using the EM algorithm.  Both probit and logit models are
 supported.  Also included is a useful function to generate high dimensional
 data with correlated variables.

Package: r-cran-binaryeppm
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-expm, r-cran-numderiv, r-cran-lmtest
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-binaryeppm_3.0-1.ca2004.1_all.deb
Size: 432024
MD5sum: b0262a9b834e4e96d7086ea780bee092
SHA1: deef7f48aac363e582164b3a996e55605cae1906
SHA256: 29d5b8f035501d13f404d4068e9d74a5040d5ec8e78db5510f4dc2ddb98341b0
SHA512: cb9339bcadbc544ed2eeeb78404b0c8e144c12f77ebce261073f2d284a602c3f63cfa5a81084572556bf09231859e847c7d4d463193ecb2877c73073791da454
Homepage: https://cran.r-project.org/package=BinaryEPPM
Description: CRAN Package 'BinaryEPPM' (Mean and Scale-Factor Modeling of Under- And Over-DispersedBinary Data)
 Under- and over-dispersed binary data are modeled using an extended Poisson
 process model (EPPM) appropriate for binary data. A feature of the model is
 that the under-dispersion relative to the binomial distribution only needs
 to be greater than zero, but the over-dispersion is restricted compared to
 other distributional models such as the beta and correlated binomials.
 Because of this, the examples focus on under-dispersed data and how, in
 combination with the beta or correlated distributions, flexible models can
 be fitted to data displaying both under- and over-dispersion. Using
 Generalized Linear Model (GLM) terminology, the functions utilize linear
 predictors for the probability of success and scale-factor with various link
 functions for p, and log link for scale-factor, to fit a variety of models
 relevant to areas such as bioassay.  Details of the EPPM are in Faddy and
 Smith (2012) <doi:10.1002/bimj.201100214> and Smith and Faddy (2019)
 <doi:10.18637/jss.v090.i08>.

Package: r-cran-binarylogic
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-binarylogic_0.3.9-1.ca2004.1_all.deb
Size: 76784
MD5sum: 09f6b4d1780011dc9ce486dc82d8514d
SHA1: 7c0bdf09c0bfdcba62714eba11424fdaf7dfa42a
SHA256: fc7789332ba2eedc06335ea7e0f6340aecbecf08db76c00d5d9165230cd336f2
SHA512: be220cdbba76ddfbc0b5917ffa485b993154c32e41942832e90e37c33dcc993fe2397a9edaaf9640f7ebf6d68491956742c1ba943d66f81ec255386b148897d7
Homepage: https://cran.r-project.org/package=binaryLogic
Description: CRAN Package 'binaryLogic' (Binary Logic)
 Provides the binary S3 class. The instance of binary is used to convert a
 decimal number (Base10) to a binary number (Base2). The Class provides some
 features e.G. shift(), rotate(), summary(). Based on logical vectors.

Package: r-cran-binaryrl
Architecture: all
Version: 0.8.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 672
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-future, r-cran-dofuture, r-cran-foreach, r-cran-dorng, r-cran-progressr
Suggests: r-cran-gensa, r-cran-ga, r-cran-deoptim, r-cran-pso, r-cran-mlrmbo, r-cran-mlr, r-cran-paramhelpers, r-cran-smoof, r-cran-lhs, r-cran-dicekriging, r-cran-rgenoud, r-cran-cmaes, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-binaryrl_0.8.9-1.ca2004.1_all.deb
Size: 634660
MD5sum: cf76e918ec864d5ab3863302d1dbf64a
SHA1: b05722e6d03050dd088b2e0a77b02e252a09cdc4
SHA256: 1392aa368bec1a51b244f6fc65afab42554dbdb5e2c8c43d76c2bbbc5846d780
SHA512: a3c6b5e160be991e98e06bb1dd30ca58d463e4c07d5cf49e9432649af1ca5e6d68bc17f1b441e06daca9eab05fcec50f81c5b7536c25c4d7ff8989e48bdcf616
Homepage: https://cran.r-project.org/package=binaryRL
Description: CRAN Package 'binaryRL' (Reinforcement Learning Tools for Two-Alternative Forced ChoiceTasks)
 Tools for building reinforcement learning (RL) models specifically tailored
 for Two-Alternative Forced Choice (TAFC) tasks, commonly employed in
 psychological research. These models build upon the foundational principles
 of model-free reinforcement learning detailed in Sutton and Barto (1998)
 <ISBN:0262039249>. The package allows for the intuitive definition of RL
 models using simple if-else statements. Our approach to constructing and
 evaluating these computational models is informed by the guidelines proposed
 in Wilson & Collins (2019) <doi:10.7554/eLife.49547>. Example datasets
 included with the package are sourced from the work of Mason et al. (2024)
 <doi:10.3758/s13423-023-02415-x>.

Package: r-cran-binarytimeseries
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rgdal, r-cran-dplyr, r-cran-ggnewscale, r-cran-ggplot2, r-cran-magrittr, r-cran-mice, r-cran-prettymapr, r-cran-raster, r-cran-reshape2, r-cran-terra
Suggests: r-cran-knitr, r-cran-maptools, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-binarytimeseries_1.0.2-1.ca2004.1_all.deb
Size: 213216
MD5sum: 321ca9d9577ba361f385f62218f3decd
SHA1: d9ace3e42e1ee779b56500b4497903efa2ba90e9
SHA256: 3b8130caf8866d41eebe5c453faea8fa359d26dc79794c5754b21bb8996a6c03
SHA512: 892bda6230fcdfb16a807858ec3b99c17e8eb795d8654f76ede3fbe67e80638cbad7c7b7c04d64cc764b9654c86d79ff7fe187d5a4856bb61f97f2bbb12c3564
Homepage: https://cran.r-project.org/package=binaryTimeSeries
Description: CRAN Package 'binaryTimeSeries' (Analyzes a Binary Variable During a Time Series)
 A procedure to create maps, pie charts, and stacked bar plots showing the
 trajectory of a binary variable during a time series.  You provide a time
 series of data sets as a stack of raster files or a data frame and call the
 various functions in 'binaryTimeSeries' to create your desired graphics.For
 more information please consult: Pontius Jr, R. G. (2022). "Metrics That
 Make a Difference: How to Analyze Change and Error" Springer Nature
 Switzerland AG <doi:10.1007/978-3-030-70765-1> and Bilintoh, T.M., (2022).
 "Intensity Analysis to Study the Dynamics of reforestation in the Rio Doce
 Water Basin, Brazil".  Frontiers in Remote Sensing, 3 (873341), 13.
 <doi:10.3389/frsen.2022.873341>.

Package: r-cran-binb
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3434
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-knitr, r-cran-codetools
Filename: pool/dists/focal/main/r-cran-binb_0.0.7-1.ca2004.1_all.deb
Size: 1802060
MD5sum: 28bc36435199a6f2b5ffc61e36341622
SHA1: 496772302049d85aede6aa2a761abc0716f99035
SHA256: 1f3b8728c81710b8515a2162fbb8271009db3416d2728869334e93696bdd9dca
SHA512: b156ca45d182351fca3b3d99c1a218d3dc3dfe97a4d8e57fc5538810becaa86aff65b42a4f1f3ae64c649a14439c98e1df13b99b73124d4d2813a158dea1f4d1
Homepage: https://cran.r-project.org/package=binb
Description: CRAN Package 'binb' ('binb' is not 'Beamer')
 A collection of 'LaTeX' styles using 'Beamer' customization for pdf-based
 presentation slides in 'RMarkdown'. At present it contains 'RMarkdown'
 adaptations of the LaTeX themes 'Metropolis' (formerly 'mtheme') theme by
 Matthias Vogelgesang and others (now included in 'TeXLive'), the 'IQSS' by
 Ista Zahn (which is included here), and the 'Monash' theme by Rob J Hyndman.
 Additional (free) fonts may be needed: 'Metropolis' prefers 'Fira', and
 'IQSS' requires 'Libertinus'.

Package: r-cran-bincor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-bincor_0.2.0-1.ca2004.1_all.deb
Size: 76180
MD5sum: 514d4cba443e7ac3debb9f1eb0e56194
SHA1: 72f327e63f4c323328067cf87c818aed00adc4c7
SHA256: dfb906851b206515c06fd2e3ca0a4a2ef9a88f577594c866df4606d72e39679d
SHA512: 6d5ccef8fc9ceef87fd1c276b309433bfb7d7f214b7176e946825345d81428451e7499fbc48c0a7e45b3455d11b2b2850790beed40bcf808b24d254433ab45da
Homepage: https://cran.r-project.org/package=BINCOR
Description: CRAN Package 'BINCOR' (Estimate the Correlation Between Two Irregular Time Series)
 Estimate the correlation between two irregular time series that are not
 necessarily sampled on identical time points. This program is also
 applicable to the situation of two evenly spaced time series that are not on
 the same time grid. 'BINCOR' is based on a novel estimation approach
 proposed by Mudelsee (2010, 2014) to estimate the correlation between two
 climate time series with different timescales. The idea is that
 autocorrelation (AR1 process) allows to correlate values obtained on
 different time points. 'BINCOR' contains four functions: bin_cor() (the main
 function to build the binned time series), plot_ts() (to plot and compare
 the irregular and binned time series, cor_ts() (to estimate the correlation
 between the binned time series) and ccf_ts() (to estimate the
 cross-correlation between the binned time series).

Package: r-cran-binda
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-entropy
Suggests: r-cran-crossval
Filename: pool/dists/focal/main/r-cran-binda_1.0.4-1.ca2004.1_all.deb
Size: 54088
MD5sum: 6930c3b3ce7910971586f801ae68fdec
SHA1: 8617965be7ee698762de507a0c6f1e747fe82c13
SHA256: 3f50f06272d225e6bb97b5ef0dc7b04236e86c4bf9dd3e1409f57d38e8e24409
SHA512: b89fbc57d8edde8dac906fea2b98eacb4553c5577a29591ea74354ad5ec81bcbf43cf37746c5b69fae91237b0ae6f8e03a8f243c616ea50bb7f8799a21ddb8c9
Homepage: https://cran.r-project.org/package=binda
Description: CRAN Package 'binda' (Multi-Class Discriminant Analysis using Binary Predictors)
 Implements functions for multi-class discriminant analysis using binary
 predictors, for corresponding variable selection, and for dichotomizing
 continuous data.

Package: r-cran-bindata
Architecture: all
Version: 0.9-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-e1071, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bindata_0.9-22-1.ca2004.1_all.deb
Size: 248600
MD5sum: ddd4fce3d5b2f1308a4990df7b7f3083
SHA1: d2ed7d44d7d5bf924a94c88023f95ee38dfd7132
SHA256: 12fca18e73cd2fc58c136d972e134247edad4fb471f879fc1663edd9f552fbfd
SHA512: 9393e9865acbf2bca9017c66fdd5efc9c4d9f8564d7f7f9565d6b733f43632969dd24f578692f11ecfd0b8cb7e48068d3277314c06e81c453cfec910b64ccfdd
Homepage: https://cran.r-project.org/package=bindata
Description: CRAN Package 'bindata' (Generation of Artificial Binary Data)
 Generation of correlated artificial binary data.

Package: r-cran-bindr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bindr_0.1.2-1.ca2004.1_all.deb
Size: 16696
MD5sum: 66f728dc77a8ec0e1edd83a30a4d24b8
SHA1: 4e3a1521c67c77a27639cc08e1abf310905221b0
SHA256: f039960b57c469493864bff38441f483ac4d3a781ecc6abbc6437b9c4d60686f
SHA512: abefbac71e9aa5e3a8c7f7ca555b9d7290425532e0797c742835070b66d0ad1752e88c8cb56e83c7daff52c4171e250fc2ce97aa9f5f2fe8ba4535c80b297b97
Homepage: https://cran.r-project.org/package=bindr
Description: CRAN Package 'bindr' (Parametrized Active Bindings)
 Provides a simple interface for creating active bindings where the bound
 function accepts additional arguments.

Package: r-cran-binequality
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-gamlss.cens, r-cran-gamlss.dist, r-cran-survival, r-cran-ineq
Filename: pool/dists/focal/main/r-cran-binequality_1.0.4-1.ca2004.1_all.deb
Size: 2510808
MD5sum: de44315f12ed598cf1a4cc933494d1d0
SHA1: 5792c78d8840166a2e4c9d7aa1480a578609296e
SHA256: 1eaa0d9e5a141a23fe5386ce3c98e5a258a14b72f46f20dc5647c49a83435f55
SHA512: f6ff4301ab3288507b21a69ba37618148dc9a383458e5bf464d18608ac38f5ab3a6e688c67640f5a79afa6aefd3d45c972b53519e37f63a9d54004dfe540fbe4
Homepage: https://cran.r-project.org/package=binequality
Description: CRAN Package 'binequality' (Methods for Analyzing Binned Income Data)
 Methods for model selection, model averaging, and calculating metrics, such
 as the Gini, Theil, Mean Log Deviation, etc, on binned income data where the
 topmost bin is right-censored.  We provide both a non-parametric method,
 termed the bounded midpoint estimator (BME), which assigns cases to their
 bin midpoints; except for the censored bins, where cases are assigned to an
 income estimated by fitting a Pareto distribution. Because the usual Pareto
 estimate can be inaccurate or undefined, especially in small samples, we
 implement a bounded Pareto estimate that yields much better results.  We
 also provide a parametric approach, which fits distributions from the
 generalized beta (GB) family. Because some GB distributions can have poor
 fit or undefined estimates, we fit 10 GB-family distributions and use
 multimodel inference to obtain definite estimates from the best-fitting
 distributions. We also provide binned income data from all United States of
 America school districts, counties, and states.

Package: r-cran-binford
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-binford_0.1.0-1.ca2004.1_all.deb
Size: 379672
MD5sum: a7c53e0ec55fad7a82b4b014ffbcd917
SHA1: 97bb8699c187c13bb8d91427cd41d5f29f382fcc
SHA256: c50c1c1c9e4c124e0036b54b512646d223847bef021464cfbe2e8e475bee834a
SHA512: 2ffa40ba300c8bb6afcba640ffe0627c382b60edd2b25a3749e6c3987263394ccd9ef8ac96e2bddf9646138f765dc50db5cd3e72e41d12a0e10cf73c91c1f40d
Homepage: https://cran.r-project.org/package=binford
Description: CRAN Package 'binford' (Binford's Hunter-Gatherer Data)
 Binford's hunter-gatherer data includes more than 200 variables coding
 aspects of hunter-gatherer subsistence, mobility, and social organization
 for 339 ethnographically documented groups of hunter-gatherers.

Package: r-cran-binfunest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-binfunest_0.1.0-1.ca2004.1_all.deb
Size: 127352
MD5sum: 2cae3748ad07bd02230109d12fa5c0de
SHA1: 069e166496aa8dc94f297640ff477111c25f97c6
SHA256: b96e7a2f3e0c5ece68413a36ba980042a1338e622e1c3ea02e7db2983f576c2a
SHA512: 546216729c69698d5e35b6075d60079c6b8a2aeefb492a58729ca7145ca2504cef1914e68239bff12db5a2288ff0606c285a0e1fb6d46f405c6c2c0977445fdc
Homepage: https://cran.r-project.org/package=binfunest
Description: CRAN Package 'binfunest' (Estimates Parameters of Functions Driving Binomial RandomVariables)
 Provides maximum likelihood estimates of the performance parameters that
 drive a binomial distribution of observed errors, and takes full advantage
 of zero error observations. High performance communications systems
 typically have inherent noise sources and other performance limitations that
 need to be estimated. Measurements made at high signal to noise ratios
 typically result in zero errors due to limitation in available measurement
 time. Package includes theoretical performance functions for common
 modulation schemes (Proakis, "Digital Communications" (1995,
 <ISBN:0-07-051726-6>)), polarization shifted QPSK (Agrell & Karlsson (2009,
 <DOI:10.1109/JLT.2009.2029064>)), and utility functions to work with the
 performance functions.

Package: r-cran-bingadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-bingadsr_0.1.0-1.ca2004.1_all.deb
Size: 22112
MD5sum: 08d6e29957e442d4962e484d9df9f81e
SHA1: 28c659da0489fa3c53b79c054c4435e7042f4168
SHA256: b221ca675d6571d7aeed8fe3ea1692a8ef94e84c3f4a08415c3f1cf5cc87efb6
SHA512: 4ff9f4043a60ba76d2983e215a75b2bdffac76eecfa2cc4c8b20e0cf7c968ec3c41ca7054885b7bd3118905f4aa62a1934cab6d491a8c7181c9ec8914553376b
Homepage: https://cran.r-project.org/package=bingadsR
Description: CRAN Package 'bingadsR' (Get Bing Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from bing Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-bingat
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-network, r-cran-gplots, r-cran-doparallel, r-cran-foreach, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-bingat_1.3-1.ca2004.1_all.deb
Size: 125424
MD5sum: 0b5e4ee59dedf94bf64b6dd9cd27bd00
SHA1: 449934193e05dcbb21f196380e60bb59ae616b76
SHA256: d27219d7ad2c505739c58a2a259774188408ffe5b6e2f9514e6cf2be863b9b90
SHA512: 5a4e9036d577410368d06345940b7da85fb396073a4d366a9e9d86447bddbc35a83a3169809c7a013cd9b372044be21856a0cbbddc43c34d32b579bc1f12c061
Homepage: https://cran.r-project.org/package=bingat
Description: CRAN Package 'bingat' (Binary Graph Analysis Tools)
 Tools to analyze binary graph objects.

Package: r-cran-bingroup
Architecture: all
Version: 2.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 832
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-partitions, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-bingroup_2.2-3-1.ca2004.1_all.deb
Size: 773404
MD5sum: 97b5ef092b2e8851d1c7640025eb9d18
SHA1: 01d834f3263065c84c3219015f2a10b9aabdffc5
SHA256: 419c32d95153f7aadaa041b30dd90066bf59654bef7c4d82ecc6d8a26878f27b
SHA512: 5600df2106d21fbb6eea1d5774ea8fc7edd993a532b8e8dad213f18a2eb6ed172c80f0f1f3db9d0a2ef7dbb12bebcc8f42c50a74f68b2442990561b1d057ebab
Homepage: https://cran.r-project.org/package=binGroup
Description: CRAN Package 'binGroup' (Evaluation and Experimental Design for Binomial Group Testing)
 Methods for estimation and hypothesis testing of proportions in group
 testing designs: methods for estimating a proportion in a single population
 (assuming sensitivity and specificity equal to 1 in designs with equal group
 sizes), as well as hypothesis tests and functions for experimental design
 for this situation. For estimating one proportion or the difference of
 proportions, a number of confidence interval methods are included, which can
 deal with various different pool sizes. Further, regression methods are
 implemented for simple pooling and matrix pooling designs.  Methods for
 identification of positive items in group testing designs: Optimal testing
 configurations can be found for hierarchical and array-based algorithms.
 Operating characteristics can be calculated for testing configurations
 across a wide variety of situations.

Package: r-cran-bingsd
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-gsdesign
Filename: pool/dists/focal/main/r-cran-bingsd_1.1-1.ca2004.1_all.deb
Size: 1003332
MD5sum: 981ea46d886aae353234696d4f035558
SHA1: 925294931934affd8f594b68508f6594c4fb5b4f
SHA256: c312d7bde3c4b34019c97d4a0664110f4d77db54e4ab1a0229b83aa17deb1c6b
SHA512: 4e466426705fcdcd1cb259d59e13448b072fcf13d56621cc782c1ca0af80e0fd9a9805f908463c7c4aa9980edd6e4f4c3c9b7ebe1f56d0e3eca0fe4233b3e519
Homepage: https://cran.r-project.org/package=BinGSD
Description: CRAN Package 'BinGSD' (Calculate Boundaries and Conditional Power for Single Arm GroupSequential Test with Binary Endpoint)
 Consider an at-most-K-stage group sequential design with only an upper bound
 for the last analysis and non-binding lower bounds.With binary endpoint, two
 kinds of test can be applied, asymptotic test based on normal distribution
 and exact test based on binomial distribution. This package supports the
 computation of boundaries and conditional power for single-arm group
 sequential test with binary endpoint, via either asymptotic or exact test.
 The package also provides functions to obtain boundary crossing
 probabilities given the design.

Package: r-cran-binhf
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavethresh, r-cran-adlift, r-cran-ebayesthresh
Filename: pool/dists/focal/main/r-cran-binhf_1.0-3-1.ca2004.1_all.deb
Size: 733652
MD5sum: 35ac0b2868eb23911fab7e99c69df62c
SHA1: cba0ef46f16ffd23bde8bb1a819077d0e682197e
SHA256: bafa187453893077ed72cbe6504749e8c070c8e5f256b218ded41d2e162933f1
SHA512: 3802c867002d8394f8b6b4e734a775ff05509028d5228394c038f2c56a6488a4af78a681b93aa707653d09d4a10caeace443cff114cafddbc190538c7fdc9afd
Homepage: https://cran.r-project.org/package=binhf
Description: CRAN Package 'binhf' (Haar-Fisz Functions for Binomial Data)
 Binomial Haar-Fisz transforms for Gaussianization as in Nunes and Nason
 (2009).

Package: r-cran-binman
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rappdirs, r-cran-yaml, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-assertthat, r-cran-semver
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-binman_0.1.3-1.ca2004.1_all.deb
Size: 90376
MD5sum: 42f1e9b6c564b5553ee09578198eb23b
SHA1: 5db70a808244cc2ce61ee75c4687df3c07b5ffb1
SHA256: 67a8aec29d682c148cb338d8795b427d344e8c282ad4c7af31345367525333ba
SHA512: 1517818765c5e36d017a5c4f9777c2dd3afffe4ab281feb65e08fcb7f83687f0e387e553c4a3bdc9b0312785920546a9e8813e92df2afca1b85fc9de8f2bf51b
Homepage: https://cran.r-project.org/package=binman
Description: CRAN Package 'binman' (A Binary Download Manager)
 Tools and functions for managing the download of binary files.  Binary
 repositories are defined in 'YAML' format. Defining new pre-download,
 download and post-download templates allow additional repositories to be
 added.

Package: r-cran-binmat
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pvclust, r-cran-mass, r-cran-ggpubr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-binmat_0.1.6-1.ca2004.1_all.deb
Size: 948496
MD5sum: a38604529410cf45dca91d396f63358e
SHA1: da3f858c102f7187b9743fe75c510725ee38526e
SHA256: 6b4a1e2968646ea59c006f5372feaf451cf5429e8ca2cca76bc8402a260bfecb
SHA512: 58c3f4f95c53ea3a4e158e299ae7d7183bbd57d8a621006faa44c247c53a4b834ba47e389b470b54460c37586207cd794dea05d61eaac2089d8b51c572011023
Homepage: https://cran.r-project.org/package=BinMat
Description: CRAN Package 'BinMat' (Processes Binary Data Obtained from Fragment Analysis (Such asAFLPs, ISSRs, and RFLPs))
 A molecular genetics tool that processes binary data from fragment analysis.
 It consolidates replicate sample pairs, outputs summary statistics, and
 produces hierarchical clustering trees and nMDS plots. This package was
 developed from the publication available here:
 <doi:10.1016/j.biocontrol.2020.104426>. The GUI version of this package is
 available on the R Shiny online server at:
 <https://clarkevansteenderen.shinyapps.io/BINMAT/> or it is accessible via
 GitHub by typing: shiny::runGitHub("BinMat", "clarkevansteenderen") into the
 console in R. Two real-world datasets accompany the package: an AFLP dataset
 of Bunias orientalis samples from Tewes et. al. (2017)
 <doi:10.1111/1365-2745.12869>, and an ISSR dataset of Nymphaea specimens
 from Reid et. al. (2021) <doi:10.1016/j.aquabot.2021.103372>. The authors of
 these publications are thanked for allowing the use of their data.

Package: r-cran-binmto
Architecture: all
Version: 0.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-binmto_0.0-7-1.ca2004.1_all.deb
Size: 77288
MD5sum: 285b80620a5bb045b55f236f59592399
SHA1: b05b302fe7ba121b4cfb2163d06a36be2b94c8bc
SHA256: aeb6f813a36aa6332e549721762e9d345aa0d7b1b3eb18caba6dae0de61e7c51
SHA512: 6ab9b2199644397f5b83ffac46da2e8aabb60294ce909f59fb43fc1837607c2e68c146468310466303b1a477c014faebf21f9671ee3e875c1d1f2c76bdbbff6f
Homepage: https://cran.r-project.org/package=binMto
Description: CRAN Package 'binMto' (Many-to-One Comparisons of Proportions)
 Asymptotic simultaneous confidence intervals for comparison of many
 treatments with one control, for the difference of binomial proportions,
 allows for Dunnett-like-adjustment, Bonferroni or unadjusted intervals.
 Simulation of power of the above interval methods, approximate calculation
 of any-pair-power, and sample size iteration based on approximate any-pair
 power. Exact conditional maximum test for many-to-one comparisons to a
 control.

Package: r-cran-binnonnor
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-corpcor, r-cran-mvtnorm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-binnonnor_1.5.3-1.ca2004.1_all.deb
Size: 77512
MD5sum: 8cb7d070e9574ff703bfeb2de24e63c0
SHA1: 136aae639a375d75d6d25139b8ebca6eccc203bb
SHA256: 0095345f1d601888430a4b52fd05bbaddc38bf6ac8a73cbc68b491d461efd0ea
SHA512: bb5e0966c920341381c8b5dbaba9e4dcdf0b7208aa952aca63507bb1a738ae1cd12e3b1438444f7a73044718b83e2de0bea2cf906522591ebb0ff16681b94383
Homepage: https://cran.r-project.org/package=BinNonNor
Description: CRAN Package 'BinNonNor' (Data Generation with Binary and Continuous Non-Normal Components)
 Generation of multiple binary and continuous non-normal variables
 simultaneously given the marginal characteristics and association structure
 based on the methodology proposed by Demirtas et al. (2012)
 <DOI:10.1002/sim.5362>.

Package: r-cran-binnor
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor, r-cran-psych, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-binnor_2.3.4-1.ca2004.1_all.deb
Size: 52780
MD5sum: 70527855d20b92191abee9c87eb1bfc0
SHA1: 5f0fdb0c188166b52ae6b466ca911e083f2d2580
SHA256: bc355905c25149b0e34b6750cc66043a3a436128c288419a7534fedba278fe95
SHA512: 7dcb6ce133a5f397578be1b6cf9fbd29cf827982cb68e69c1a2f616d530f7152f06013812ee806331c6b62a4abf4cb55df476aec865a8816ee333b2428d3c29b
Homepage: https://cran.r-project.org/package=BinNor
Description: CRAN Package 'BinNor' (Simultaneous Generation of Multivariate Binary and NormalVariates)
 Generating multiple binary and normal variables simultaneously given
 marginal characteristics and association structure based on the methodology
 proposed by Demirtas and Doganay (2012) <DOI:10.1080/10543406.2010.521874>.

Package: r-cran-binomci
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-binomci_1.2-1.ca2004.1_all.deb
Size: 32612
MD5sum: 0652b1da3297c3b536b0af6d68227a3d
SHA1: d91d28d2830964f42b2cdc921937e1cb9133d28c
SHA256: 591ab3a0cdc2809bff55dbb9b2b423157d72f8fc09f99b429d6e474f219e2960
SHA512: bbe7f554f56dd0387652729129176bd4a6a6867709d26dc8efd8be38e87fef5b717c365549f5bae8b51687de9c7c12cd90a7aa6e6b8a8c61677c89a318a59974
Homepage: https://cran.r-project.org/package=binomCI
Description: CRAN Package 'binomCI' (Confidence Intervals for a Binomial Proportion)
 Twelve confidence intervals for one binomial proportion or a vector of
 binomial proportions are computed. The confidence intervals are: Jeffreys,
 Wald, Wald corrected, Wald, Blyth and Still, Agresti and Coull, Wilson,
 Score, Score corrected, Wald logit, Wald logit corrected, Arcsine and Exact
 binomial. References include, among others: Vollset, S. E. (1993).
 "Confidence intervals for a binomial proportion". Statistics in Medicine,
 12(9): 809-824. <doi:10.1002/sim.4780120902>.

Package: r-cran-binomialcftp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-binomialcftp_1.0-1.ca2004.1_all.deb
Size: 18544
MD5sum: e94d87f8137a379cf80ab47cef7dd649
SHA1: 583714bf6eb55d76c2f5e48b2fc20e361c27cf03
SHA256: 9a912e96f2cf916b3beb5df847568f846c3a26b44fffab0538c2dc4b2648e988
SHA512: fcb1344b2a248a347cd955cd80c0f14941c18f0f7f72854684d07ba0eec416654f90f9b5e153875b451ecbd6b191ae65323f966f0614870d4d8d7cf5d84c1f33
Homepage: https://cran.r-project.org/package=binomialcftp
Description: CRAN Package 'binomialcftp' (Generates binomial random numbers via the coupling from the pastalgorithm)
 Binomial random numbers are generated via the perfect sampling algorithm. At
 each iteration dual markov chains are generated and coalescence is checked.
 In case coalescence occurs, the resulting number is outputted. In case not,
 then the algorithm is restarted from T(t)=2*T(t) until coalescence occurs.

Package: r-cran-binomialrf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-data.table, r-cran-rlist
Suggests: r-cran-foreach, r-cran-knitr, r-cran-rmarkdown, r-cran-correlbinom
Filename: pool/dists/focal/main/r-cran-binomialrf_0.1.0-1.ca2004.1_all.deb
Size: 187488
MD5sum: 3d3d8626dccd2a778e6fef3274c11705
SHA1: 21e14c75ae534bf086c1f07d81ee03eb9d55dda6
SHA256: 68c94488a0ab3e1cfbd1d429f51ae5c15b348f53cb31c092e50e77861bb89b3b
SHA512: 8d24e97d68c9716b6976a6b39206509c6cc11190beb72a618e1a15f8b96aaa225afb8ace1477831f4e33faad1a610709f5829ad0aa576697c3f3922028df4e3f
Homepage: https://cran.r-project.org/package=binomialRF
Description: CRAN Package 'binomialRF' (Binomial Random Forest Feature Selection)
 The 'binomialRF' is a new feature selection technique for decision trees
 that aims at providing an alternative approach to identify significant
 feature subsets using binomial distributional assumptions (Rachid Zaim, S.,
 et al. (2019)) <doi:10.1101/681973>. Treating each splitting variable
 selection as a set of exchangeable correlated Bernoulli trials, 'binomialRF'
 then tests whether a feature is selected more often than by random chance.

Package: r-cran-binomialtrend
Architecture: all
Version: 0.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pheatmap
Filename: pool/dists/focal/main/r-cran-binomialtrend_0.0.0.3-1.ca2004.1_all.deb
Size: 21620
MD5sum: 6f85409d18e0aabfd0112508cacf6d58
SHA1: 7ec26c0e03ea783e8b966fa6cbb25d244473e63f
SHA256: 8ac3e3204808b528d456f835e0cb20d3650143f076db4b58df0d9a0fc04fbbf1
SHA512: ec40b239539d8ee4c286ee529e3d1ae20a0dfc2b8d8fe8bdd6094b497198b9b82320574a82948b5e00fcef3556e621d78a9a8756077e3ade2e8c6a6c1e311498
Homepage: https://cran.r-project.org/package=binomialtrend
Description: CRAN Package 'binomialtrend' (Calculates the Statistical Significance of a Trend in a Set ofMeasurements)
 Detection of a statistically significant trend in the data provided by the
 user.  This is based on the a signed test based on the binomial
 distribution.  The package returns a trend test value, T, and also a
 p-value. A T value close to 1 indicates a rising trend, whereas a T value
 close to -1 indicates a decreasing trend. A T value close to 0 indicates no
 trend. There is also a command to visualize the trend. A test data set
 called gtsa_data is also available, which has global mean temperatures for
 January, April, July, and October for the years 1851 to 2022.  Reference:
 Walpole, Myers, Myers, Ye. (2007, ISBN: 0-13-187711-9).

Package: r-cran-binomlogit
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-binomlogit_1.2-1.ca2004.1_all.deb
Size: 99268
MD5sum: 8f8ccbeb94bbeff2e2c8fe8d707dd0cd
SHA1: 93cd715258630452018d87edaa97dc5c5d735299
SHA256: 325e5e2e70aac6a2d4a729ee335079351a295869a8d102d5ca27886abb7b0012
SHA512: ddc2c0024dd0925da541aad7da6503f1039ec3c95fd237b993df168813a634e23df793dea6e68c2b35978660e7281c08d3bb0546d337285373d88f95cebc2783
Homepage: https://cran.r-project.org/package=binomlogit
Description: CRAN Package 'binomlogit' (Efficient MCMC for Binomial Logit Models)
 The R package contains different MCMC schemes to estimate the regression
 coefficients of a binomial (or binary) logit model within a Bayesian
 framework: a data-augmented independence MH-sampler, an auxiliary mixture
 sampler and a hybrid auxiliary mixture (HAM) sampler. All sampling
 procedures are based on algorithms using data augmentation, where the
 regression coefficients are estimated by rewriting the logit model as a
 latent variable model called difference random utility model (dRUM).

Package: r-cran-binordnonnor
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genord, r-cran-ordnor, r-cran-bb, r-cran-corpcor, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-binordnonnor_1.5.2-1.ca2004.1_all.deb
Size: 54880
MD5sum: df219c22dff7830165f5a0c255617daa
SHA1: 73dc59604b02a05230b9fa8ef850bd8f34821576
SHA256: 411006e5ba29b8d2d3e6515e15d1b5e4b4869c678142add405aa9b059c6fae28
SHA512: 472393827ded7eb83da3195aa75ae6267f4e6eb2578c4cf71a7c1957ab7cadf7772b1a1016617424daa3f913f3e7345245c80b2e3165c853163cf71a19f35b7e
Homepage: https://cran.r-project.org/package=BinOrdNonNor
Description: CRAN Package 'BinOrdNonNor' (Concurrent Generation of Binary, Ordinal and Continuous Data)
 Generation of samples from a mix of binary, ordinal and continuous random
 variables with a pre-specified correlation matrix and marginal
 distributions. The details of the method are explained in Demirtas et al.
 (2012) <DOI:10.1002/sim.5362>.

Package: r-cran-binovisualfields
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix, r-cran-gtools, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-binovisualfields_0.1.1-1.ca2004.1_all.deb
Size: 59988
MD5sum: 69197a08034640b8a6d809789cf1197f
SHA1: 6f6697737ece53c1239b80efdb6ea45ecbeb5975
SHA256: 14db76c513b43b4ed988bc4cd8977dfdb1320c8a4bed7ea8c249c942e0ca8711
SHA512: 58c1ade8b07c1d220b962fb332b7ccac88ef1433c8f12b8a50c3089c7ba8bfad90d7d3810d5ff0a0a5fdb62487bfcda6006617e4793b1c749d30d9d0b46e4760
Homepage: https://cran.r-project.org/package=binovisualfields
Description: CRAN Package 'binovisualfields' (Depth-Dependent Binocular Visual Fields Simulation)
 Simulation and visualization depth-dependent integrated visual fields.
 Visual fields are measured monocularly at a single depth, yet real-life
 activities involve predominantly binocular vision at multiple depths. The
 package provides functions to simulate and visualize binocular visual field
 impairment in a depth-dependent fashion from monocular visual field results
 based on Ping Liu, Allison McKendrick, Anna Ma-Wyatt, Andrew Turpin (2019)
 <doi:10.1167/tvst.9.3.8>. At each location and depth plane, sensitivities
 are linearly interpolated from corresponding locations in monocular visual
 field and returned as the higher value of the two. Its utility is
 demonstrated by evaluating DD-IVF defects associated with 12 glaucomatous
 archetypes of 24-2 visual field pattern in the included 'shiny' apps.

Package: r-cran-binr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-binr_1.1.1-1.ca2004.1_all.deb
Size: 249504
MD5sum: 5aa0c0df0b6ce7165aa636c1ba4c340f
SHA1: eebf3995f48360894db789ee3f08e16820fb3b4c
SHA256: d5f1ff8ae64ba5e7e03a59772fdb398d368674393b4cc6b6f17c8b185bac8c3e
SHA512: 06bb1fdc28c910ac03e6412ff73f0b0bdb82a862a5e19854b264fd6cbfbeba94341c2d61b5ba95acb3f688d512d13cf187ccd42f260acbc2574fc079efe81d07
Homepage: https://cran.r-project.org/package=binr
Description: CRAN Package 'binr' (Cut Numeric Values into Evenly Distributed Groups)
 Implementation of algorithms for cutting numerical values exhibiting a
 potentially highly skewed distribution into evenly distributed groups
 (bins). This functionality can be applied for binning discrete values, such
 as counts, as well as for discretization of continuous values, for example,
 during generation of features used in machine learning algorithms.

Package: r-cran-binseqtest
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clinfun
Filename: pool/dists/focal/main/r-cran-binseqtest_1.0.4-1.ca2004.1_all.deb
Size: 385684
MD5sum: f5be545bd9452b56039e52066eda4fa6
SHA1: b0b869d060c40382e3da68c0934ac14f234f85a9
SHA256: b1a88f908fa23353f87646d0046c25cc65eb08261b902451bf5e45bc1ecfb85f
SHA512: c4954186636b4039db79fb4eba0d01fb29f5fefa21d0e2bb0203a5a73becd2649027885cfca82535290932d67da531e7c078a0e2cdfc1bccca43c5016ee86620
Homepage: https://cran.r-project.org/package=binseqtest
Description: CRAN Package 'binseqtest' (Exact Binary Sequential Designs and Analysis)
 For a series of binary responses, create stopping boundary with exact
 results after stopping, allowing updating for missing assessments.

Package: r-cran-binsmooth
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-ineq, r-cran-triangle
Filename: pool/dists/focal/main/r-cran-binsmooth_0.2.2-1.ca2004.1_all.deb
Size: 239428
MD5sum: c26ca9b89cd78f16d0860c3ff739b58b
SHA1: a2106c6f737f21e817565c986ce63a5ab780816d
SHA256: 3501ba1446184dfc2cca780cd4bdd0767574b18e789a1d5eba43a22584a066f4
SHA512: 6df7112c474bc66e39c74ab188207ef13c4d264339080f29d896627f54f2d4a06af5a9c01149a6af3b2656ee0b366afd2c6387ec1855d7c8db816ffd5b798adf
Homepage: https://cran.r-project.org/package=binsmooth
Description: CRAN Package 'binsmooth' (Generate PDFs and CDFs from Binned Data)
 Provides several methods for generating density functions based on binned
 data. Methods include step function, recursive subdivision, and optimized
 spline. Data are assumed to be nonnegative, the top bin is assumed to have
 no upper bound, but the bin widths need be equal. All PDF smoothing methods
 maintain the areas specified by the binned data. (Equivalently, all CDF
 smoothing methods interpolate the points specified by the binned data.) In
 practice, an estimate for the mean of the distribution should be supplied as
 an optional argument.  Doing so greatly improves the reliability of
 statistics computed from the smoothed density functions. Includes methods
 for estimating the Gini coefficient, the Theil index, percentiles, and
 random deviates from a smoothed distribution. Among the three methods, the
 optimized spline (splinebins) is recommended for most purposes. The
 percentile and random-draw methods should be regarded as experimental, and
 these methods only support splinebins.

Package: r-cran-binsreg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-sandwich, r-cran-quantreg, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-binsreg_1.1-1.ca2004.1_all.deb
Size: 456740
MD5sum: 1e5a00cc52f2dd8f7d0b2a3d7f681800
SHA1: 5d49c207afa78427cc667d81bc754ffab4fb97de
SHA256: 10540b79153e7c1ccac94c4104f05ff08e2271754db2fefd1346a05c7730deb2
SHA512: 16135b738021456c63f5c3b36b541d3c9b8235306056c4e8e5047ab49b522ec93341b6ea7c3c1e8a8cd5a289c03311dddf00a19ec7698aad5ee8e209731c1910
Homepage: https://cran.r-project.org/package=binsreg
Description: CRAN Package 'binsreg' (Binscatter Estimation and Inference)
 Provides tools for statistical analysis using the binscatter methods
 developed by Cattaneo, Crump, Farrell and Feng (2024a)
 <doi:10.48550/arXiv.1902.09608>, Cattaneo, Crump, Farrell and Feng (2024b)
 <https://nppackages.github.io/references/Cattaneo-Crump-Farrell-Feng_2024_NonlinearBinscatter.pdf>
 and Cattaneo, Crump, Farrell and Feng (2024c)
 <doi:10.48550/arXiv.1902.09615>. Binscatter provides a flexible way of
 describing the relationship between two variables based on
 partitioning/binning of the independent variable of interest. binsreg(),
 binsqreg() and binsglm() implement binscatter least squares regression,
 quantile regression and generalized linear regression respectively, with
 particular focus on constructing binned scatter plots. They also implement
 robust (pointwise and uniform) inference of regression functions and
 derivatives thereof. binstest() implements hypothesis testing procedures for
 parametric functional forms of and nonparametric shape restrictions on the
 regression function. binspwc() implements hypothesis testing procedures for
 pairwise group comparison of binscatter estimators. binsregselect()
 implements data-driven procedures for selecting the number of bins for
 binscatter estimation. All the commands allow for covariate adjustment,
 smoothness restrictions and clustering.

Package: r-cran-binst
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Suggests: r-cran-discretization, r-cran-formula, r-cran-testthat, r-cran-bammtools, r-cran-earth
Filename: pool/dists/focal/main/r-cran-binst_0.2.1-1.ca2004.1_all.deb
Size: 28156
MD5sum: 9cdc00181958d4e92eb099109e6f0d0f
SHA1: 1ed9d4ee77c1427a591fdb97c197582739e4a387
SHA256: 5a5e529fa156ce480bc5206e7cd6da07477dce8b4c47641a5b5396a9d80af82a
SHA512: 94dc325e540e6acc3b0bcdda8e3d13676bdd09303b93c81f0ce66ae2a2bbd9d878de5c66befb1641932d65448623d52cf60fa395ed541d901520e4702a433a01
Homepage: https://cran.r-project.org/package=binst
Description: CRAN Package 'binst' (Data Preprocessing, Binning for Classification and Regression)
 Various supervised and unsupervised binning tools including using entropy,
 recursive partition methods and clustering.

Package: r-cran-bio.infer
Architecture: all
Version: 1.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1753
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bio.infer_1.3-6-1.ca2004.1_all.deb
Size: 1717772
MD5sum: b9f7f1b8f64e768c6d606acd9ce7074d
SHA1: 02aa741fa8e97ca5df94835de3e5b47dcf8a9f59
SHA256: 130caf4900036779c064327a71bdd69d44ad45f92c4175a20760df41f9239220
SHA512: 595c6955a1a7e68999c5eaceb51b84e9134232e7ce2e60556937d5a8c10e912e15c3bb64416acdd5bca9a755f7c35b12dc16ee725abd66ea88d6cbf8af165f1a
Homepage: https://cran.r-project.org/package=bio.infer
Description: CRAN Package 'bio.infer' (Predict Environmental Conditions from Biological Observations)
 Imports benthic count data, reformats this data, and computes environmental
 inferences from this data.

Package: r-cran-bioassays
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 957
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-nplr, r-cran-reshape2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bioassays_1.0.1-1.ca2004.1_all.deb
Size: 505836
MD5sum: 48825eb128eef02182f48f3a290b07a2
SHA1: 9da6138e0f5b01ba1b1a4139bbdb087c4c2e050d
SHA256: beabfa911ede8bffbc93db123ed04d7991ea6f9105b282b177458b09b86fd91b
SHA512: a28ca79025cef3bf933acaf984c5ff994c7542e463aece72fbd90cdc85cdd3cbeecaa6cc780150a383d02118023227117fc1a2ce889123c9154673fcf16cb653
Homepage: https://cran.r-project.org/package=bioassays
Description: CRAN Package 'bioassays' (Summarising Multi Well Plate Cellular Assay)
 The goal is to help users to analyse data from multi wells with minimum
 effort. Using these functions several plates can be analyzed automatically.

Package: r-cran-biobjclass
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-biobjclass_0.1.0-1.ca2004.1_all.deb
Size: 18204
MD5sum: 07b2ec24d2ba0d2f89c2ddce24042fa9
SHA1: 819c3e0c45e7b422b0639361e57ab9d016215ab6
SHA256: 66dde98be6cc5c27da6422a585ed844000a7d777de32fe228a2e1c3bf07eb9ca
SHA512: fea3f90c598d02ae67c124a9a5a50d4432d9788fe15a155e80bb1db874de5e633d6db3a7e83d6e54be644118f682de6eed4848af866405cf2ad1c05ade44858c
Homepage: https://cran.r-project.org/package=BiObjClass
Description: CRAN Package 'BiObjClass' (Classification of Algorithms)
 Implements the Bi-objective Lexicographical Classification method and
 Performance Assessment Ratio at 10% metric for algorithm classification.
 Constructs matrices representing algorithm performance under multiple
 criteria, facilitating decision-making in algorithm selection and
 evaluation. Analyzes and compares algorithm performance based on various
 metrics to identify the most suitable algorithms for specific tasks. This
 package includes methods for algorithm classification and evaluation, with
 examples provided in the documentation. Carvalho (2019) presents a
 statistical evaluation of algorithmic computational experimentation with
 infeasible solutions <doi:10.48550/arXiv.1902.00101>. Moreira and Carvalho
 (2023) analyze power in preprocessing methodologies for datasets with
 missing values <doi:10.1080/03610918.2023.2234683>.

Package: r-cran-biobricks
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-biobricks_0.2.2-1.ca2004.1_all.deb
Size: 11092
MD5sum: 037b0ae9b06c230ae325160c9bcc28e1
SHA1: 261716fa8f06a487fb7bac0673304c3f58c25e45
SHA256: b32ba980da328ea8fd1172090a60225d948955ce14d092f0071de0be3e56b823
SHA512: 674b02b54625c2f0c40b210d1580276271835e89d37c42cbab1bb73ff065f678e37db636e7d67bb60d0a0a361b7abe54192ea3500e125e4c2b917d1062e484b1
Homepage: https://cran.r-project.org/package=biobricks
Description: CRAN Package 'biobricks' (Access Data Dependencies Installed Through 'Biobricks.ai')
 Provides an integrated data management solution for assets installed via the
 'Biobricks.ai' platform. Streamlines the process of loading and interacting
 with diverse datasets in a consistent manner. A list of bricks is available
 at <https://status.biobricks.ai>. Documentation for 'Biobricks.ai' is
 available at <https://docs.biobricks.ai>.

Package: r-cran-bioc.logs
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bioc.logs_1.2.1-1.ca2004.1_all.deb
Size: 65836
MD5sum: e6a0b122b0da5626daa16bd13be53045
SHA1: ca021ed9be605ffce0ffc7fc9a8747a24bdc6e6e
SHA256: 97cab45045eb4ef0a596745ed6f17c4c180d62de5750ccb116d689e3ab53fe05
SHA512: e1f66bc72bae8b11784c75f096db981b9279a63ebc0daade6280939206e1d3df3fcedc1f8f8ee3dad7d27b6862a920721164e5841e4b79e468fb8c5f8e12ce2f
Homepage: https://cran.r-project.org/package=bioC.logs
Description: CRAN Package 'bioC.logs' (BioConductor Package Downloads Stats)
 Download stats reported from the BioConductor.org stats website.

Package: r-cran-biocircos
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biocircos_0.3.4-1.ca2004.1_all.deb
Size: 243072
MD5sum: 3e604519093635e799f8cc0152001f1f
SHA1: a2bca5d09208f47b0370e9abae130867ce19cd6a
SHA256: d5b9bb687b26cf79758bbea9edc855604f58083e306c438af76182461cbafcf7
SHA512: 61e1650a3432c93af83a3bcc884aabf2f9ca634fc572b84d0f323a5043624908cd24fa18b054db0438f115985f2aa4e93b5f36171783954b6684178f06982e36
Homepage: https://cran.r-project.org/package=BioCircos
Description: CRAN Package 'BioCircos' (Interactive Circular Visualization of Genomic Data using'htmlwidgets' and 'BioCircos.js')
 Implement in 'R' interactive Circos-like visualizations of genomic data, to
 map information such as genetic variants, genomic fusions and aberrations to
 a circular genome, as proposed by the 'JavaScript' library 'BioCircos.js',
 based on the 'JQuery' and 'D3' technologies. The output is by default
 displayed in stand-alone HTML documents or in the 'RStudio' viewer pane.
 Moreover it can be integrated in 'R Markdown' documents and 'Shiny'
 applications.

Package: r-cran-bioclim
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1443
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-ggplot2, r-cran-berryfunctions, r-cran-reshape2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bioclim_0.4.0-1.ca2004.1_all.deb
Size: 1426760
MD5sum: f05f51dcb531e062dba1222dda1a93c7
SHA1: 9242a1366b32ded486b828c694df3c58840e566c
SHA256: e0649c82bd99a808d01d2ea17b7a29c6d6a02a01c29c7cdbc502aede4c35c18f
SHA512: 07f7d04d9761c58ea7979fe59f0bf11640cd28496f125b76e0babaf5070898c623b89dacacaf1ed28b0ca078e75129922907fea6f7efa440e898949560af13ad
Homepage: https://cran.r-project.org/package=bioclim
Description: CRAN Package 'bioclim' (Bioclimatic Analysis and Classification)
 Using numeric or raster data, this package contains functions to calculate:
 complete water balance, bioclimatic balance, bioclimatic intensities,
 reports for individual locations, multi-layered rasters for spatial
 analysis.

Package: r-cran-biocmanager
Architecture: all
Version: 1.30.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1042
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-bioc-biocversion, r-bioc-biocstyle, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-curl, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-biocmanager_1.30.26-1.ca2004.1_all.deb
Size: 464624
MD5sum: 1052ac8feef790b98b19b77b0f9d99da
SHA1: 3d1174c7ce3518e5521e4711ab1caad10ea8be3e
SHA256: e6fb7a30de18c3f8e9c929d2bb9dd5bb7395d4a2a8001a492d5493a4e66a2cf5
SHA512: 685ed7e8b12d2035bd21b1a0949568323e5c06ef1ab488575661791fbfff773f709a2a7ed1b4f1f0aa9c440a6cbb50f6390f854c06d8c0c8ff7b1a21f25596fe
Homepage: https://cran.r-project.org/package=BiocManager
Description: CRAN Package 'BiocManager' (Access the Bioconductor Project Package Repository)
 A convenient tool to install and update Bioconductor packages.

Package: r-cran-biocompute
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1828
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-yaml, r-cran-digest, r-cran-uuid, r-cran-jsonvalidate, r-cran-httr, r-cran-curl, r-cran-crayon, r-cran-cli, r-cran-stringr, r-cran-magrittr, r-cran-rmarkdown
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-biocompute_1.1.1-1.ca2004.1_all.deb
Size: 369852
MD5sum: f0871a0b6d01561d983b04758ebdfd5a
SHA1: bc3cd966aecc136fb890c25493f0816bd0cd8620
SHA256: 3db887fbdcff9acca8ededa338b550281df99ac886db37ac0d1fdcaf31df2500
SHA512: 7ccbe76f41f751762d4b2c68301787973edd0828fd4f1b6634b7b3edc2a521f7f631034f3f5c88bbf397656489b176964c232a5c35e18c361925054c1b1a210d
Homepage: https://cran.r-project.org/package=biocompute
Description: CRAN Package 'biocompute' (Create and Manipulate BioCompute Objects)
 Tools to create, validate, and export BioCompute Objects described in King
 et al. (2019) <doi:10.17605/osf.io/h59uh>.  Users can encode information in
 data frames, and compose BioCompute Objects from the domains defined by the
 standard.  A checksum validator and a JSON schema validator are provided.
 This package also supports exporting BioCompute Objects as JSON, PDF, HTML,
 or 'Word' documents, and exporting to cloud-based platforms.

Package: r-cran-biodem
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-biodem_0.5-1.ca2004.1_all.deb
Size: 82728
MD5sum: 0ce2fd537d77d88dc2401427d1b4f20a
SHA1: 1db39771fb413938e0d057691948254d161f0544
SHA256: db908722ce517842539282032e6822657ae3de5d281b2bec5f9ebaccde0f172b
SHA512: fa52c14f9dde0a398dd59b4559efed08bb37b28ae2a99c78626bb4bffac404c0573d330c27f40441109bcc7325d2dc9192558dfee4d15d36dcda6746d6e9017a
Homepage: https://cran.r-project.org/package=Biodem
Description: CRAN Package 'Biodem' (Biodemography Functions)
 The Biodem package provides a number of functions for Biodemographic
 analysis.

Package: r-cran-biodiversityr
Architecture: all
Version: 2.17-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2775
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-rcmdr, r-cran-ggplot2
Suggests: r-cran-vegan3d, r-cran-rgl, r-cran-permute, r-cran-lattice, r-cran-mass, r-cran-mgcv, r-cran-cluster, r-cran-car, r-cran-rodbc, r-cran-rpart, r-cran-effects, r-cran-multcomp, r-cran-ellipse, r-cran-sp, r-cran-splancs, r-cran-spatial, r-cran-nnet, r-cran-dismo, r-cran-raster, r-cran-terra, r-cran-maxlike, r-cran-gbm, r-cran-randomforest, r-cran-gam, r-cran-earth, r-cran-mda, r-cran-kernlab, r-cran-e1071, r-cran-glmnet, r-cran-bootstrap, r-cran-presenceabsence, r-cran-geosphere, r-cran-enmeval, r-cran-red, r-cran-igraph, r-cran-rlof, r-cran-maxnet, r-cran-party, r-cran-readxl, r-cran-colorspace, r-cran-dplyr, r-cran-rlang, r-cran-sf, r-cran-blockcv, r-cran-envirem, r-cran-concaveman, r-cran-pvclust
Filename: pool/dists/focal/main/r-cran-biodiversityr_2.17-2-1.ca2004.1_all.deb
Size: 1669068
MD5sum: 39a66b48215b45b2aec049174cb671e3
SHA1: 3f88278d7c4d1b3fa985be038f492b1e5d349440
SHA256: c7cf1a9d6a6793d6d033151eee9a04c4c416d001b0af0ed8cd6af12923b6fd3b
SHA512: 945d85b1240baaf69748fe6574ccd2585852037cd6ad2f55947b4ddfdc81c24b6d5611cdd5563b81016a1d8d5652074ac30a6648aabb20200c9fc0b01e98f89e
Homepage: https://cran.r-project.org/package=BiodiversityR
Description: CRAN Package 'BiodiversityR' (Package for Community Ecology and Suitability Analysis)
 Graphical User Interface (via the R-Commander) and utility functions (often
 based on the vegan package) for statistical analysis of biodiversity and
 ecological communities, including species accumulation curves, diversity
 indices, Renyi profiles, GLMs for analysis of species abundance and
 presence-absence, distance matrices, Mantel tests, and cluster, constrained
 and unconstrained ordination analysis. A book on biodiversity and community
 ecology analysis is available for free download from the website. In 2012,
 methods for (ensemble) suitability modelling and mapping were expanded in
 the package.

Package: r-cran-biodosetools
Architecture: all
Version: 3.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1778
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bsplus, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-mass, r-cran-maxlik, r-cran-mixtools, r-cran-msm, r-cran-rhandsontable, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-tidyr, r-cran-config, r-cran-golem, r-cran-cli
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-kableextra, r-cran-markdown, r-cran-pander, r-cran-tinytex, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-biodosetools_3.6.1-1.ca2004.1_all.deb
Size: 1089376
MD5sum: f8d57cdbdca014d16f3e60f3cb570bf2
SHA1: 13a20459e6a1e2ab0d074d0e62860195c60299ce
SHA256: 75893c4693f9c1810015821dc896562f66c24d860e7f743a1d1715238d36e14c
SHA512: a8db5d5f0bc508d907579e887327e9990c8c66a11328673e0b445df13e90bbc8adc3c72753ca48b90799fee7eeccb8dff49b3424daa59646329041fc6cde0b13
Homepage: https://cran.r-project.org/package=biodosetools
Description: CRAN Package 'biodosetools' (An R Shiny Application for Biological Dosimetry)
 A tool to perform all different statistical tests and calculations needed by
 Biological Dosimetry Laboratories.

Package: r-cran-biodry
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-ecodist
Filename: pool/dists/focal/main/r-cran-biodry_0.9.1-1.ca2004.1_all.deb
Size: 164152
MD5sum: 259de7fd59e0076a333e00b9f66a6028
SHA1: 1c26f5fb33e60fc5f03e2417f5b982d5e002f732
SHA256: 0d2572a450615268d7eeb03e9a0225a4d6b53c5c4827fcb87d2d093e2a585321
SHA512: 51e6b1f454079412787e6c404cca53a442fb89e83a7bd6b5129eff509306e6711e709629a98e54285ddee5489ab9486c9cb8292ceb0cabbf832d132b8a85504a
Homepage: https://cran.r-project.org/package=BIOdry
Description: CRAN Package 'BIOdry' (Multilevel Modeling of Dendroclimatical Fluctuations)
 Multilevel ecological data series (MEDS) are sequences of observations
 ordered according to temporal/spatial hierarchies that are defined by sample
 designs, with sample variability confined to ecological factors.
 Dendroclimatic MEDS of tree rings and climate are modeled into normalized
 fluctuations of tree growth and aridity.  Modeled fluctuations (model
 frames) are compared with Mantel correlograms on multiple levels defined by
 sample design. Package implementation can be understood by running examples
 in modelFrame(), and muleMan() functions.

Package: r-cran-biofi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4401
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-hmisc, r-cran-ggplot2, r-cran-ggrepel, r-cran-htmlwidgets, r-cran-igraph, r-cran-magrittr, r-cran-networkd3, r-cran-tidyverse, r-cran-visnetwork, r-cran-ppcor
Filename: pool/dists/focal/main/r-cran-biofi_0.1.0-1.ca2004.1_all.deb
Size: 4460696
MD5sum: c36be1e8e66c08dfcae2ad074d86e308
SHA1: 62c43eea6281fbca3ce11fc2af7efc8bc437d5a3
SHA256: a13472e86d3955162345065409b7d9885d3cbc8e50b4b13a6a67d5baf0db75c9
SHA512: 013309090e92c8d20d41fe222ea9d3ac95b9a1cdc5ef407ff89ea86a84e80ce6d81c0f9527f76de678f2f584e87f544a3a460aa8248e4ef3bcb79a9cb4478b05
Homepage: https://cran.r-project.org/package=BiOFI
Description: CRAN Package 'BiOFI' (Feature Identification Between Metabolome and Microbiome inDisease and Health)
 A strategy that provides the identification of metabolome and microbiome
 (Bi-omics) feature.  It is able to screen out key/driving features
 (metabolites, microbes, and pathway functions) by an integrated importance
 score (IIS),combining sub-scores derived from difference, correlation,
 abundance, and network analysis.  It is able to identify
 microbe-function-metabolite chains and to rank association pairs within
 specific functions.

Package: r-cran-bioftf
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-bioftf_1.2-0-1.ca2004.1_all.deb
Size: 102968
MD5sum: 638a8845d38db49205f142a9af0f2b9c
SHA1: 28000cc698215422a3eccbe59bdb02dab6debc07
SHA256: 7a8c79a83260c122e6488f93e8b51c49ae022308cfe04de885bc1ed88a199442
SHA512: d24458acb9a7590ebcc7c0b19ae34a10eb97cea97810c9e24f1e46b61242edddb4500ea8cc734f1ec0565c50f9c4c8ac1e224b9a8ef9798321edb1a425b47d33
Homepage: https://cran.r-project.org/package=BioFTF
Description: CRAN Package 'BioFTF' (Biodiversity Assessment Using Functional Tools)
 The main drawback of the most common biodiversity indices is that different
 measures may lead to different rankings among communities. This instrument
 overcomes this limit using some functional tools with the diversity
 profiles. In particular, the derivatives, the curvature, the radius of
 curvature, the arc length, and the surface area are proposed. The goal of
 this method is to interpret in detail the diversity profiles and obtain an
 ordering between different ecological communities on the basis of diversity.
 In contrast to the typical indices of diversity, the proposed method is able
 to capture the multidimensional aspect of biodiversity, because it takes
 into account both the evenness and the richness of the species present in an
 ecological community.

Package: r-cran-biogas
Architecture: all
Version: 1.64.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1706
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-minpack.lm, r-cran-knitr, r-cran-ggplot2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-biogas_1.64.0-1.ca2004.1_all.deb
Size: 1392636
MD5sum: b541c648ebcd82cb842c3ec7d6229067
SHA1: 847b5e10cb7a8366cf0c1b598dd61e9b504ee59d
SHA256: a216546bb3a7f6516a07f82b0b4534af6d6ad44bccabc8831c1b7cb921eaaa75
SHA512: 39a7297c9d8aa741c699220d1557f3be46af90636fc9cc8478a98893f601e1d5efe2a090de453b6a9318d365b347e65d6466a4c70697b1f81ccd4ea999f99f4e
Homepage: https://cran.r-project.org/package=biogas
Description: CRAN Package 'biogas' (Process Biogas Data and Predict Biogas Production)
 Functions for calculating biochemical methane potential (BMP) from
 laboratory measurements and other types of data processing and prediction
 useful for biogas research. Raw laboratory measurements for diverse methods
 (volumetric, manometric, gravimetric, gas density) can be processed to
 calculate BMP. Theoretical maximum BMP or methane or biogas yield can be
 predicted from various measures of substrate composition. Molar mass and
 calculated oxygen demand (COD') can be determined from a chemical formula.
 Measured gas volume can be corrected for water vapor and to standard (or
 user-defined) temperature and pressure. Gas quantity can be converted
 between volume, mass, and moles. A function for planning BMP experiments can
 consider multiple constraints in suggesting substrate or inoculum
 quantities, and check for problems. Inoculum and substrate mass can be
 determined for planning BMP experiments. Finally, a set of first-order
 models can be fit to measured methane production rate or cumulative yield in
 order to extract estimates of ultimate yield and kinetic constants. See
 Hafner et al. (2018) <doi:10.1016/j.softx.2018.06.005> for details. OBA is a
 web application that provides access to some of the package functionality:
 <https://biotransformers.shinyapps.io/oba1/>. The Standard BMP Methods
 website documents the calculations in detail: <https://www.dbfz.de/en/BMP>.

Package: r-cran-biogeo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2636
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-stringr, r-cran-maptools, r-cran-vegan, r-cran-sp
Suggests: r-cran-dismo
Filename: pool/dists/focal/main/r-cran-biogeo_1.0-1.ca2004.1_all.deb
Size: 2510140
MD5sum: 0de9f9a408849a543403147d6085dd62
SHA1: 00866acc99c3d96db7a845430f1956f4887de2ae
SHA256: 943916506e0ea8922dc12e93b0344ddab58b013df2ba3d9c89f07fbb0848635b
SHA512: acd3b2e1b5e1c9db13e472b3a16093d180352fbb70e122d3fc55f6ab528705ddda489eabcf81c03dd869e15eb0e825f0259c8dc89591a3c72cd09f8999b0268d
Homepage: https://cran.r-project.org/package=biogeo
Description: CRAN Package 'biogeo' (Point Data Quality Assessment and Coordinate Conversion)
 Functions for error detection and correction in point data quality datasets
 that are used in species distribution modelling. Includes functions for
 parsing and converting coordinates into decimal degrees from various
 formats.

Package: r-cran-biogeom
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1577
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-biogeom_1.4.3-1.ca2004.1_all.deb
Size: 1564920
MD5sum: af4fc16b9185d98c1c5ea0df28aa025f
SHA1: bddfa263857f67ba36eaa21e4e3af0546be4a3b4
SHA256: e2e080c2ae23c5231fdc34c996d30bcaef6f404244adb965b0012ad30f3150ec
SHA512: 799e3bc1ca2bf7d5a5f785f7b646538408cc380f7da4407da207687594db1af8d890f61fcfbe759fbcdf17ed06d712358b56939fb3ef148b44b58be1161886da
Homepage: https://cran.r-project.org/package=biogeom
Description: CRAN Package 'biogeom' (Biological Geometries)
 Is used to simulate and fit biological geometries. 'biogeom' incorporates
 several novel universal parametric equations that can generate the profiles
 of bird eggs, flowers, linear and lanceolate leaves, seeds, starfish, and
 tree-rings (Gielis (2003) <doi:10.3732/ajb.90.3.333>; Shi et al. (2020)
 <doi:10.3390/sym12040645>), three growth-rate curves representing the
 ontogenetic growth trajectories of animals and plants against time, and the
 axially symmetrical and integral forms of all these functions (Shi et al.
 (2017) <doi:10.1016/j.ecolmodel.2017.01.012>; Shi et al. (2021)
 <doi:10.3390/sym13081524>). The optimization method proposed by Nelder and
 Mead (1965) <doi:10.1093/comjnl/7.4.308> was used to estimate model
 parameters. 'biogeom' includes several real data sets of the boundary
 coordinates of natural shapes, including avian eggs, fruit, lanceolate and
 ovate leaves, tree rings, seeds, and sea stars,and can be potentially
 applied to other natural shapes. 'biogeom' can quantify the conspecific or
 interspecific similarity of natural outlines, and provides information with
 important ecological and evolutionary implications for the growth and form
 of living organisms. Please see Shi et al. (2022) <doi:10.1111/nyas.14862>
 for details.

Package: r-cran-biogram
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-slam, r-cran-combinat, r-cran-entropy, r-cran-partitions
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biogram_1.6.3-1.ca2004.1_all.deb
Size: 386876
MD5sum: cfe51be7af34df49a4620465da78038e
SHA1: d3f59f5a1812de28995463054e04f0cb7d7c1718
SHA256: 60d0cd8d7cc845defd76266b15e0895cc9cdcf8a04f0b562d0be49d9c142fe0a
SHA512: 70d4794e40f5ac9c1dd392698e0d33b332cc048d5a6a1cc9e61da9aa8152e2871fe5988354367fe1c314b91442c6c16a3601789ddcc705c41224e1ee0809ebfd
Homepage: https://cran.r-project.org/package=biogram
Description: CRAN Package 'biogram' (N-Gram Analysis of Biological Sequences)
 Tools for extraction and analysis of various n-grams (k-mers) derived from
 biological sequences (proteins or nucleic acids). Contains QuiPT (quick
 permutation test) for fast feature-filtering of the n-gram data.

Package: r-cran-biogrowth
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve, r-cran-tibble, r-cran-dplyr, r-cran-fme, r-cran-mass, r-cran-rlang, r-cran-purrr, r-cran-ggplot2, r-cran-cowplot, r-cran-lamw, r-cran-tidyr, r-cran-formula.tools, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-biogrowth_1.0.6-1.ca2004.1_all.deb
Size: 1127908
MD5sum: 694e7fb4fc51ea6b94cecca6d3df1c25
SHA1: 0b0c3dde44a0a80e0ed0fbad0d9ba5c4368827c6
SHA256: 5b042bd86bfc100edf37cd519145e2b2e5ebed5ec71a2bd6d6bc15977895193e
SHA512: a857871a01c1c8f846eaa0675d320bf36f4a6d1f2d01a32a45e8f2323602663f00a70e39ec18b52849bcfab2ae13f759b0607c9dbbec775040ee0a810e79f0e3
Homepage: https://cran.r-project.org/package=biogrowth
Description: CRAN Package 'biogrowth' (Modelling of Population Growth)
 Modelling of population growth under static and dynamic environmental
 conditions.  Includes functions for model fitting and making prediction
 under isothermal and dynamic conditions. The methods (algorithms & models)
 are based on predictive microbiology (See Perez-Rodriguez and Valero (2012,
 ISBN:978-1-4614-5519-6)).

Package: r-cran-bioinactivation
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-desolve, r-cran-fme, r-cran-lazyeval, r-cran-ggplot2, r-cran-mass, r-cran-rlang, r-cran-purrr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bioinactivation_1.3.0-1.ca2004.1_all.deb
Size: 281680
MD5sum: 0928c28db3ba47451252383eebd654da
SHA1: 1518151799d85a8db8eb8ce688befe9a5f7a70b3
SHA256: 18ec505674af6cdf0c37673c0e94406b16ca17d80327bbc034425ac1225bd3e4
SHA512: 3b31e44fc045adf8031d258dc394eb6f3dcc3e22ff547efb5cb611fdc51ece808572b4b6de66788ed2a07e1c85da74f6c15940f73e0b2197a0e113a939308abd
Homepage: https://cran.r-project.org/package=bioinactivation
Description: CRAN Package 'bioinactivation' (Mathematical Modelling of (Dynamic) Microbial Inactivation)
 Functions for modelling microbial inactivation under isothermal or dynamic
 conditions. The calculations are based on several mathematical models
 broadly used by the scientific community and industry. Functions enable to
 make predictions for cases where the kinetic parameters are known. It also
 implements functions for parameter estimation for isothermal and dynamic
 conditions. The model fitting capabilities include an Adaptive Monte Carlo
 method for a Bayesian approach to parameter estimation.

Package: r-cran-bioinsight
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3911
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-edger, r-bioc-limma, r-cran-knitr, r-cran-wordcloud, r-cran-rcolorbrewer
Suggests: r-cran-testthat, r-bioc-biomart
Filename: pool/dists/focal/main/r-cran-bioinsight_0.3.1-1.ca2004.1_all.deb
Size: 815132
MD5sum: 1509713faed264c0634e1bf293fbf0c1
SHA1: 68b6bec6964cec307561c69fc2738333d06c24a2
SHA256: c3b95b4d294adaaef61fefa59dd41bca62f51c7b29fd4d9675409f4bf45e3c62
SHA512: 398028e34394e2d19634f81f675df11d3ec52b8d1c941fd7f37bfbf8d3ed8843e9dc08879e262439a2553157f3e2d3bf02b11f41306e50435a1c704627670080
Homepage: https://cran.r-project.org/package=BioInsight
Description: CRAN Package 'BioInsight' (Filter and Plot RNA Biotypes)
 Analyze and plot the abundance of different RNA biotypes present in a count
 matrix, this evaluation can be useful if you want to test different
 strategies of normalization or analyze a particular biotype in a
 differential gene expression analysis.

Package: r-cran-bioknn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-cluster, r-cran-mice, r-cran-magrittr, r-cran-ggplot2, r-cran-tidyr, r-cran-desc, r-cran-lme4, r-cran-mitml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bioknn_0.1.0-1.ca2004.1_all.deb
Size: 47312
MD5sum: d3e08cff12ad1485f7432d81d7134cc0
SHA1: 6fd2011207376c925949b7c96049c39b4d64d937
SHA256: 06cb824edb1b21e97232f7e8f0a4d11fc9d0ff20a6bc7869cc27eacb82512b53
SHA512: 022cc287c0901b1e82e41216885af8c91815b81c8eb38ee7594f6e32a4908470241b4259f4f4496be6560ffd9110190b4b9bfa6232296819b5a789523232bd05
Homepage: https://cran.r-project.org/package=biokNN
Description: CRAN Package 'biokNN' (Bi-Objective k-Nearest Neighbors Imputation for Multilevel Data)
 The bi-objective k-nearest neighbors method (biokNN) is an imputation method
 designed to estimate missing values on data with a multilevel structure. The
 original algorithm is an extension of the k-nearest neighbors method
 proposed by Bertsimas et al. (2017)
 (<https://jmlr.org/papers/v18/17-073.html>) using a bi-objective approach.
 A brief description of the method can be found in Cubillos (2021)
 (<https://pure.au.dk/portal/files/214627979/biokNN.pdf>). The 'biokNN'
 package provides an R implementation of the method for datasets with
 continuous variables (e.g. employee productivity, student grades) and a
 categorical class variable (e.g. department, school). Given an incomplete
 dataset with such structure, this package produces complete datasets using
 both single and multiple imputation, including visualization tools to better
 understand the pattern of the missing values.

Package: r-cran-biolink
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rentrez, r-cran-xml2, r-cran-dbi, r-cran-rmysql, r-cran-glue, r-cran-memoise
Suggests: r-cran-testthat, r-cran-lintr, r-cran-httr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-biolink_0.1.8-1.ca2004.1_all.deb
Size: 72368
MD5sum: 313c89ec123cec3de051925552692204
SHA1: 104f954670a913f264478f4c6776ac5c405a3bae
SHA256: 727f691491b8f8756e865ffe00c8af4db010df89f5136bdf24dc874fcf657229
SHA512: 9117ea4115cbb86ae0bb2a3c53107ad3a7d7460b39de7d9b428de2003d1f004a6b6d7821fab43060e2ba563c101a6dc6f4c7327f464f5aa95c298992e6ed2feb
Homepage: https://cran.r-project.org/package=biolink
Description: CRAN Package 'biolink' (Create Hyperlinks to Biological Databases and Resources)
 Generate urls and hyperlinks to commonly used biological databases and
 resources based on standard identifiers. This is primarily useful when
 writing dynamic reports that reference things like gene symbols in text or
 tables, allowing you to, for example, convert gene identifiers to hyperlinks
 pointing to their entry in the 'NCBI' Gene database. Currently supports
 'NCBI' Gene, 'PubMed', Gene Ontology, 'KEGG', CRAN and Bioconductor.

Package: r-cran-biolinv
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-fields, r-cran-spatstat.geom, r-cran-spatstat.core, r-cran-spatstat, r-cran-sp, r-cran-classint
Filename: pool/dists/focal/main/r-cran-biolinv_0.1-3-1.ca2004.1_all.deb
Size: 389908
MD5sum: 69226e1b022dbf813b87c489100273ba
SHA1: 75d4564052c61a64f2ba795655d8dd7a613d9c4e
SHA256: e4ca401996380e61e7f9a12f981e11a4a8328824288ce63cac1dcac61b6ace51
SHA512: aa4a6702247a6fffbd4527ba7415ebc3a18ad0c5dfd3edf400256f027dd534cb2f36fa8946a22a312bcafe6c1c496cc210c56ae49ba4615e07fa8b90ec1957c8
Homepage: https://cran.r-project.org/package=Biolinv
Description: CRAN Package 'Biolinv' (Modelling and Forecasting Biological Invasions)
 Analysing and forecasting biological invasions time series with a stochastic
 approach that accounts for human-aided dispersal, habitat suitability and
 provides estimates confidence level.

Package: r-cran-biologicalactivityindices
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-biologicalactivityindices_0.1.0-1.ca2004.1_all.deb
Size: 12032
MD5sum: 10d6bd35bb9c3b298ccae1f8786b7ab1
SHA1: 817297406080baf7f9f11af7f963689680f45a4e
SHA256: 6ec9a89ac096b7e0002b3af88b097447ecf8a11b2865ccb293b1ed8ceff69422
SHA512: 23b77408a6d6638c1e3f5038a911918969800bc33418a566c7fed07b66fd3b77d6e100c655688aa6ca8184a341a1febc1794717c011fe6514aeefb5fa550b51e
Homepage: https://cran.r-project.org/package=biologicalActivityIndices
Description: CRAN Package 'biologicalActivityIndices' (Biological Activity Indices)
 Ecological alteration of degraded lands can improve their sustainability by
 addition of large amount of biomass to soil resulting in improved soil
 health. Soil biological parameters (such as carbon, nitrogen and phosphorus
 cycling enzyme activity) are reactive to minute variations in soils [Ghosh
 et al. (2021) <doi:10.1016/j.ecoleng.2021.106176> ]. Hence, biological
 activity index combining Urease, Alkaline Phosphatase, Dehydrogenase (DHA) &
 Beta-Glucosidase activity will assist in detecting early changes in restored
 land use systems [Patidar et al. (2023) <doi:10.3389/fsufs.2023.1230156>].
 This package helps to calculate Biological Activity Index (BAI) based on
 vectors of Land Use System/treatment and control/reference Land Use System
 containing four values of Urease, Alkaline Phosphatase, DHA &
 Beta-Glucosidase. (DHA), urease (URE), fluorescein diacetate hydrolysis
 (FDA) and alkaline phosphatase (ALP) activities are measured in soil samples
 using triphenyl tetrazolium chloride, urea, fluorescein diacetate and
 p-nitro phenyl-phosphate as substrates, respectively.

Package: r-cran-biom.utils
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rjsonio, r-cran-mgraster
Filename: pool/dists/focal/main/r-cran-biom.utils_0.9-1.ca2004.1_all.deb
Size: 110240
MD5sum: d853ac1b3861c752f3737dd0e713f13d
SHA1: c93baad1a6283c333a863262c8508ac2020aa593
SHA256: e2b8899b837bf777f73753f15bce60a5f2189f8b184db34546ad0e157b00bc5a
SHA512: a2cdd406e3f22183905d657bb99cf2bbfd605fdfaf18cf7f165bd7099c03d27c6648cc4014c4b0ecf4ce6d57e142076166ea29696530e3f8534ea1f8b110e8e2
Homepage: https://cran.r-project.org/package=BIOM.utils
Description: CRAN Package 'BIOM.utils' (Utilities for the BIOM (Biological Observation Matrix) Format)
 Provides utilities to facilitate import, export and computation with the
 BIOM (Biological Observation Matrix) format (http://biom-format.org).

Package: r-cran-biom2
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4506
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-wgcna, r-cran-mlr3, r-cran-cmplot, r-cran-ggsci, r-cran-rocr, r-cran-caret, r-cran-ggplot2, r-cran-ggpubr, r-cran-viridis, r-cran-ggthemes, r-cran-ggstatsplot, r-cran-htmlwidgets, r-cran-mlr3verse, r-cran-uwot, r-cran-webshot, r-cran-wordcloud2, r-cran-ggforce, r-cran-igraph, r-cran-ggnetwork
Filename: pool/dists/focal/main/r-cran-biom2_1.1.2-1.ca2004.1_all.deb
Size: 4235952
MD5sum: 679b8331063bfb1a8e6aec956126f7b1
SHA1: 099be87732ad3fbc5507bc14512581fe5596a5e2
SHA256: 8307782d98cb0abcebf4638875d794423b42ea300895d97141821e38bd2ca11e
SHA512: ea3725e2836c7ebd5839c0b171f84f4a66ea1fe127f01d6a0426c4c3a286912800ddb069d900053a4356159c670b849a5a7a0f5fbb7058a6c45618185d137e84
Homepage: https://cran.r-project.org/package=BioM2
Description: CRAN Package 'BioM2' (Biologically Explainable Machine Learning Framework)
 Biologically Explainable Machine Learning Framework for Phenotype Prediction
 using omics data described in Chen and Schwarz (2017)
 <doi:10.48550/arXiv.1712.00336>.Identifying reproducible and interpretable
 biological patterns from high-dimensional omics data is a critical factor in
 understanding the risk mechanism of complex disease. As such, explainable
 machine learning can offer biological insight in addition to personalized
 risk scoring.In this process, a feature space of biological pathways will be
 generated, and the feature space can also be subsequently analyzed using
 WGCNA (Described in Horvath and Zhang (2005) <doi:10.2202/1544-6115.1128>
 and Langfelder and Horvath (2008) <doi:10.1186/1471-2105-9-559> ) methods.

Package: r-cran-biomark
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1030
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pls, r-cran-glmnet, r-cran-mass, r-cran-st
Filename: pool/dists/focal/main/r-cran-biomark_0.4.5-1.ca2004.1_all.deb
Size: 1015204
MD5sum: 659958b67aba91fe53a096c497b4ef74
SHA1: fdb31c4e53b36f48b11ac51e744af49763bb4bf5
SHA256: 85c85da924098951129dd149c1325fe8f3abdff979941dceb635827825b75858
SHA512: 163c04fac0e01f1d3841337bac844f56aa2e052c22689835f8dc18526d05251f18a0faf5c2fe78f612dff773dc6b28c83f1cc5a781abbb3b7878c7351ecc47ab
Homepage: https://cran.r-project.org/package=BioMark
Description: CRAN Package 'BioMark' (Find Biomarkers in Two-Class Discrimination Problems)
 Variable selection methods are provided for several classification methods:
 the lasso/elastic net, PCLDA, PLSDA, and several t-tests. Two approaches for
 selecting cutoffs can be used, one based on the stability of model
 coefficients under perturbation, and the other on higher criticism.

Package: r-cran-biomass
Architecture: all
Version: 2.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3989
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minpack.lm, r-cran-jsonlite, r-cran-proj4, r-cran-data.table, r-cran-rappdirs, r-cran-sf, r-cran-terra, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-testthat, r-cran-vdiffr, r-cran-curl, r-cran-geodata, r-cran-httr2, r-cran-pkgdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-biomass_2.2.4-1.ca2004.1_all.deb
Size: 3009188
MD5sum: 9f4bcca05ad6b1fece4447b8a0d3831d
SHA1: 164a0dd1182fbe9c8782719e4639d0bd9f30ce30
SHA256: 7833e802e0276471a69966c4a41b00371e4f1e56770039968052e5562d3c5f71
SHA512: 2f0274cc8af9b487fb799a6c356b7d0180aed56356c68c63fd80aea8a505b53a3d34572fe3ad94e1c46a7c4d88f4759e3c3d145fd03f551d3827d0ea3d8420c4
Homepage: https://cran.r-project.org/package=BIOMASS
Description: CRAN Package 'BIOMASS' (Estimating Aboveground Biomass and Its Uncertainty in TropicalForests)
 Contains functions for estimating above-ground biomass/carbon and its
 uncertainty in tropical forests. These functions allow to (1) retrieve and
 correct taxonomy, (2) estimate wood density and its uncertainty, (3) build
 height-diameter models, (4) manage tree and plot coordinates, (5) estimate
 above-ground biomass/carbon at stand level with associated uncertainty. To
 cite ‘BIOMASS’, please use citation(‘BIOMASS’). For more information, see
 Réjou-Méchain et al. (2017) <doi:10.1111/2041-210X.12753>.

Package: r-cran-biometrics
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-datana
Suggests: r-cran-foreign, r-cran-gdata, r-cran-car, r-cran-agricolae, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-biometrics_1.0.1-1.ca2004.1_all.deb
Size: 1687408
MD5sum: f5984fd42cf47a6d495436cecbd452a2
SHA1: 7ca756084168931225874b55cfbcb1b54531c4aa
SHA256: cf9dbd84c3f511653061319dec10ad0c341073b31cd9d3f0c138766e6de42039
SHA512: 83293837f5bc8e98a1986b27ff1f145dc332b7f2e8d7629d462603827073b039fd6622aff8f7473091b56885be5c0b3d313a14a59aa231dc78e8fe2d9f689349
Homepage: https://cran.r-project.org/package=biometrics
Description: CRAN Package 'biometrics' (Functions and Datasets for Forest Biometrics and Modelling)
 A system of functions and data aiming to apply quantitative analyses to
 forest ecology, silviculture and decision-support systems. Besides, the
 package helps to carry out data management, exploratory analysis, and model
 assessment.

Package: r-cran-biometryassist
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-agricolae, r-cran-askpass, r-cran-cowplot, r-cran-curl, r-cran-emmeans, r-cran-ggplot2, r-cran-lattice, r-cran-multcompview, r-cran-pracma, r-cran-rlang, r-cran-scales, r-cran-stringi, r-cran-xml2
Suggests: r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-mockery, r-cran-openxlsx, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-biometryassist_1.3.0-1.ca2004.1_all.deb
Size: 276292
MD5sum: 6aad46ecd5a08f39e24f706f636c5968
SHA1: 75ead8a32a3617983522583b6b87fdc62eabf9dc
SHA256: 3a8e2bac118f406a56916af210682a86842ea10f3b6ae8716bce4a35edbf6556
SHA512: f6a6f0bdabeec08071682396d7735d3012c7912a38a3b1754e944f20dbf68e363972414934852dcf7ef201867af3512c81c16278a91efbf3791f61619382477f
Homepage: https://cran.r-project.org/package=biometryassist
Description: CRAN Package 'biometryassist' (Functions to Assist Design and Analysis of Agronomic Experiments)
 Provides functions to aid in the design and analysis of agronomic and
 agricultural experiments through easy access to documentation and helper
 functions, especially for users who are learning these concepts. While not
 required for most functionality, this package enhances the `asreml` package
 which provides a computationally efficient algorithm for fitting mixed
 models using Residual Maximum Likelihood. It is a commercial package that
 can be purchased as 'asreml-R' from 'VSNi' <https://vsni.co.uk/>, who will
 supply a zip file for local installation/updating (see
 <https://asreml.kb.vsni.co.uk/>).

Package: r-cran-biomod2
Architecture: all
Version: 4.2-6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2730
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-sp, r-cran-reshape, r-cran-reshape2, r-cran-abind, r-cran-foreach, r-cran-ggplot2, r-cran-gbm, r-cran-rpart, r-cran-mass, r-cran-proc, r-cran-presenceabsence, r-cran-dplyr
Suggests: r-cran-hmisc, r-cran-gam, r-cran-mgcv, r-cran-earth, r-cran-maxnet, r-cran-mda, r-cran-nnet, r-cran-randomforest, r-cran-xgboost, r-cran-car, r-cran-caret, r-cran-dismo, r-cran-enmeval, r-cran-doparallel, r-cran-raster, r-cran-ggpubr, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-tidyterra, r-cran-ggtext
Filename: pool/dists/focal/main/r-cran-biomod2_4.2-6-2-1.ca2004.1_all.deb
Size: 1911200
MD5sum: 7c4c1aeaba6c50eda4073d5f3262c7c1
SHA1: 006b3e38fd021f8fceecff9d19b4aef9d7853454
SHA256: 59c0b1c7d83a2e675bf554b0c86f579bae94193fe851d05423e8b304d8abcd6d
SHA512: 25173d541a997feeffe824d6f3ceee473a9246c920117924093268b0c7777e418e5d80cef30842a2efda68ab1c7ba7b106d09253722782c9a91ca863ebee0292
Homepage: https://cran.r-project.org/package=biomod2
Description: CRAN Package 'biomod2' (Ensemble Platform for Species Distribution Modeling)
 Functions for species distribution modeling, calibration and evaluation,
 ensemble of models, ensemble forecasting and visualization. The package
 permits to run consistently up to 10 single models on a presence/absences
 (resp presences/pseudo-absences) dataset and to combine them in ensemble
 models and ensemble projections. Some bench of other evaluation and
 visualization tools are also available within the package.

Package: r-cran-bionetdata
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3273
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bionetdata_1.1-1.ca2004.1_all.deb
Size: 3315352
MD5sum: fe24e3436b4a3b7671c049b4412f93e7
SHA1: ddadedb557c080be961cbf20fb6df40d708f5c1a
SHA256: 4c724b1369f106431419300e4f96b4ac7a650e07fa2a2d02d0113d570d7d2fe9
SHA512: da48395eb39e7c053d0fa6e97edf365c9fd5c212f33311e9607a9527cd42d971cc4404d2c442b32d94e858557714ac8cff284f0c33ac3bc70010fe93025ffae7
Homepage: https://cran.r-project.org/package=bionetdata
Description: CRAN Package 'bionetdata' (Biological and Chemical Data Networks)
 Data Package that includes several examples of chemical and biological data
 networks, i.e. data graph structured.

Package: r-cran-biooed
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fme, r-cran-bioinactivation, r-cran-dplyr, r-cran-ggplot2, r-bioc-meigor, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biooed_0.2.1-1.ca2004.1_all.deb
Size: 179088
MD5sum: 4da809737e83815a303b055c0fdc5c73
SHA1: 14d18aadfde4f41f677d4e01db5185e02e20fb3c
SHA256: 75e427a71beca8ddffcbe8e27cbc09edd5efe5f1950d046c792c537db3b5cb49
SHA512: 22d2b66bbea6afa9c4cfd107f204d4a460cd6972882d6ef490cabe757290556674acecad79b4570d36b1289178ff4dac8c1eacc4b18c5e1b3cf963c3cd19cf69
Homepage: https://cran.r-project.org/package=bioOED
Description: CRAN Package 'bioOED' (Sensitivity Analysis and Optimum Experiment Design for MicrobialInactivation)
 Extends the bioinactivation package with functions for Sensitivity Analysis
 and Optimum Experiment Design.

Package: r-cran-biopeak
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-dbscan, r-cran-factoextra, r-cran-gplots, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biopeak_1.0-1.ca2004.1_all.deb
Size: 388180
MD5sum: 0782f163f802b9664742bef9e0f17f9a
SHA1: 96836fc4c94210baf93a491a39cd02dca158e0b0
SHA256: 00335f90f7e0fcb7b663fe99169b2e3cfab9730738d20caedf291f0301c4ce16
SHA512: c0a384cdc33977307ce8751e6c858c74c92f210f9a23ef0244cd3a7e1a491eaf3a570a8894750151580d241f58946a870e9f3ce342c4017247095907aebbc144
Homepage: https://cran.r-project.org/package=Biopeak
Description: CRAN Package 'Biopeak' (Identification of Impulse-Like Gene Expression Changes in ShortGenomic Series Data)
 Enables the user to systematically identify and visualize impulse-like gene
 expression changes within short genomic series experiments. In order to
 detect such activation peaks, the gene expression is treated as a signal
 that propagates along an experimental axis (time, temperature or other
 series conditions). Peaks are selected by exhaustive identification of local
 maximums and subsequent filtering based on a range of controllable
 parameters. Moreover, the 'Biopeak' package provides a series of data
 exploration tools including: expression profile plots, correlation heat maps
 and clustering functionalities.

Package: r-cran-biopet
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-proc, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-biopet_0.2.2-1.ca2004.1_all.deb
Size: 77884
MD5sum: 00c30b19e63c3851fc08e2c24ca9568c
SHA1: 74d366297b0c00941f866d78b3e57e18f2abb98e
SHA256: 051ca951a6018f540f3dc4622eae1c4b977300c23ada725d0aa990b69170e7b4
SHA512: 0c2b25b4d0bea08bdd2371bb8c5ae2bd14e98dc383a5df4174f76aa92ef746e7f7b39ac62dfbc3439dd12c8c28bdb208c55f7779f62676bf23e5a8cade80c488
Homepage: https://cran.r-project.org/package=BioPET
Description: CRAN Package 'BioPET' (Biomarker Prognostic Enrichment Tool)
 Prognostic Enrichment is a clinical trial strategy of evaluating an
 intervention in a patient population with a higher rate of the unwanted
 event than the broader patient population (R. Temple (2010)
 <DOI:10.1038/clpt.2010.233>). A higher event rate translates to a lower
 sample size for the clinical trial, which can have both practical and
 ethical advantages. This package is a tool to help evaluate biomarkers for
 prognostic enrichment of clinical trials.

Package: r-cran-biopetsurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-biopetsurv_0.1.0-1.ca2004.1_all.deb
Size: 111584
MD5sum: d2429e0315a8cef5baf6cfa7fd774fe9
SHA1: 696f0767238f0074155334afce8042f79324f6e8
SHA256: 91436ed5787a5711f51c9672b015152d5a00d7f40ce0ba7f533fcfdc7c733154
SHA512: 684600492c99b0ef4a505c1c8dd0c85a68c3e29375c637167b30f674a9d1a2a66a497948f7b0f862ce51b9de16b0f2d471c1d71a4a9658faa6079506f84fcea5
Homepage: https://cran.r-project.org/package=BioPETsurv
Description: CRAN Package 'BioPETsurv' (Biomarker Prognostic Enrichment Tool for Time-to-Event Trial)
 Prognostic Enrichment is a strategy of enriching a clinical trial for
 testing an intervention intended to prevent or delay an unwanted clinical
 event.  A prognostically enriched trial enrolls only patients who are more
 likely to experience the unwanted clinical event than the broader patient
 population (R. Temple (2010) <doi:10.1038/clpt.2010.233>). By testing the
 intervention in an enriched study population, the trial may be adequately
 powered with a smaller sample size, which can have both practical and
 ethical advantages.  This package provides tools to evaluate biomarkers for
 prognostic enrichment of clinical trials with survival/time-to-event
 outcomes.

Package: r-cran-biopixr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5358
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-imager, r-cran-magick, r-cran-data.table, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel, r-cran-kohonen, r-cran-imagerextra, r-cran-gpareto, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-biopixr_1.2.0-1.ca2004.1_all.deb
Size: 4044240
MD5sum: 299a6017bd11f21dc15dec0e1b7f0434
SHA1: b86949d5c1c21510e23fa9a81f249b33eadc579e
SHA256: 633c017358e9323b95c9e7afecf8804f02b6415e30790967ab24c2f3d8bbb48d
SHA512: 85b47bfdcbdf765dcb7bc79883724132885ac6922fabc31618a46dd91cb0177771c94daafb0254c9ea6291fdcd82d79c89dd6e1436c877e4cacf9f2c836fd3e1
Homepage: https://cran.r-project.org/package=biopixR
Description: CRAN Package 'biopixR' (Extracting Insights from Biological Images)
 Combines the 'magick' and 'imager' packages to streamline image analysis,
 focusing on feature extraction and quantification from biological images,
 especially microparticles. By providing high throughput pipelines and
 clustering capabilities, 'biopixR' facilitates efficient insight generation
 for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).

Package: r-cran-biopred
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1011
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xgboost, r-cran-proc, r-cran-ggplot2, r-cran-propcis, r-cran-survival, r-cran-survminer, r-cran-mgcv, r-cran-onewaytests, r-cran-car
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-biopred_1.0.2-1.ca2004.1_all.deb
Size: 794704
MD5sum: 791b0ad1e5e9a6930896583e64d8e6a7
SHA1: eb724cf360cc0d901c766e67fde6df463f8e9916
SHA256: 9866ac9dba937036d77208bb9f02f206ac2a3cd39661e840edd34d32ee20b614
SHA512: bf891f8d751f7dfdc27a685939d4546aeb712fcc45182c596b82daab046560eaa5cd15c55ab2e3e360715d0854b736b90af3d98ae031e1ab51b13194a8ea02c4
Homepage: https://cran.r-project.org/package=BioPred
Description: CRAN Package 'BioPred' (An R Package for Biomarkers Analysis in Precision Medicine)
 Provides functions for training extreme gradient boosting model using
 propensity score A-learning and weight-learning methods. For further
 details, see Liu et al. (2024) <doi:10.1093/bioinformatics/btae592>.

Package: r-cran-bioprobability
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bioprobability_1.0-1.ca2004.1_all.deb
Size: 34388
MD5sum: 5b427951d93fe254284a7a872ef6094c
SHA1: e48c7c1d544bbb0f1d242e5582448287f5b12f88
SHA256: 9b5a332e03bd5c220d298f735d7e252ea74226bfe0f7982a7068cf3b5ba42651
SHA512: 53eaa45f4154fca681d5e355c1dc9539736d3c09be10dc878d04dd9d911e63191faceddfb06de3b9459ac3bcefd501ddd0c073188b6fd83da200a67b3e813ed0
Homepage: https://cran.r-project.org/package=BioProbability
Description: CRAN Package 'BioProbability' (Probability in Biostatistics)
 Several tools for analyzing diagnostic tests and 2x2 contingency tables are
 provided. In particular, positive and negative predictive values for a
 diagnostic tests can be calculated from prevalence, sensitivity and
 specificity values. For contingency tables, relative risk and odds ratio
 measures are estimated. Furthermore, confidence intervals are provided.

Package: r-cran-biorad
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5637
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-curl, r-cran-dplyr, r-cran-fields, r-cran-ggplot2, r-cran-glue, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-lutz, r-cran-raster, r-cran-readr, r-bioc-rhdf5, r-cran-rlang, r-cran-sf, r-cran-sp, r-cran-stringr, r-cran-suntools, r-cran-tidyr, r-cran-tidyselect, r-cran-viridis, r-cran-viridislite
Suggests: r-cran-aws.s3, r-cran-ggspatial, r-cran-knitr, r-cran-prettymapr, r-cran-rmarkdown, r-cran-rosm, r-cran-testthat, r-cran-vdiffr, r-cran-vol2birdr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-biorad_0.10.0-1.ca2004.1_all.deb
Size: 4851996
MD5sum: 33a36002fab46a1c723a0f1086e34025
SHA1: 4322e253c148092f965e1ea3c2e517d8f85d6485
SHA256: 2597481ce686853cd49f83519ffd6f286e85d672a11af841f0a218a4e3c810ca
SHA512: b88c9bf66634ad3f26b9f20b6375ac13f8cea194627d50f360d1baaba15955f1acc394731033b885b66deea11607a456509a9ee7a70773096af87adf631009e6
Homepage: https://cran.r-project.org/package=bioRad
Description: CRAN Package 'bioRad' (Biological Analysis and Visualization of Weather Radar Data)
 Extract, visualize and summarize aerial movements of birds and insects from
 weather radar data. See Dokter, A. M. et al. (2018) "bioRad: biological
 analysis and visualization of weather radar data" <doi:10.1111/ecog.04028>
 for a software paper describing package and methodologies.

Package: r-cran-biorssay
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-colorspace
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-biorssay_1.1.0-1.ca2004.1_all.deb
Size: 237456
MD5sum: 9a35c98cf2cf04af2f36433266a2ee45
SHA1: c1aa2f4324562a498fbcc331af9ae13dda4b8ba5
SHA256: cb1a3e8bb2188bf4cb51d45f68fc0fa5e384863790165ddb4015f25d7c711741
SHA512: e7bd64c64bc0a421af3e8e3bf903011def8c0e29ce211aba83ce923577185ef8a05bc6303a4b18702db84e09f9058a08295a3ff9fe692f3220d1aeae77957bb7
Homepage: https://cran.r-project.org/package=BioRssay
Description: CRAN Package 'BioRssay' (Analyze Bioassays and Probit Graphs)
 A robust framework for analyzing mortality data from bioassays for one or
 several strains/lines/populations.

Package: r-cran-bios2cor
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1402
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bio3d, r-cran-circular, r-cran-bigmemory, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-bios2cor_2.2.2-1.ca2004.1_all.deb
Size: 694792
MD5sum: 7e8aa7aa41ac68a3a6e20832612dfb7a
SHA1: 1aa853eee94e241149ab431a7f1429be7ac1d21a
SHA256: 711b6e9648aff2dc03305686bec789ce4d0ada479df9d81515ef105b4c099a78
SHA512: 02eaf997470f1af8f482d5e17df60c4cfa4f865dc14a61e2c3431dc7bed9eceffa2576cf312ddb9f28a84ac226fec39fc3b66424f0155d336f56d88a587cc051
Homepage: https://cran.r-project.org/package=Bios2cor
Description: CRAN Package 'Bios2cor' (From Biological Sequences and Simulations to CorrelationAnalysis)
 Utilities for computation and analysis of correlation/covariation in
 multiple sequence alignments and in side chain motions during molecular
 dynamics simulations. Features include the computation of
 correlation/covariation scores using a variety of scoring functions between
 either sequence positions in alignments or side chain dihedral angles in
 molecular dynamics simulations and utilities to analyze the
 correlation/covariation matrix through a variety of tools including network
 representation and principal components analysis. In addition, several
 utility functions are based on the R graphical environment to provide
 friendly tools for help in data interpretation. Examples of sequence
 covariation analysis are provided in: (1) Pele J, Moreau M, Abdi H, Rodien
 P, Castel H, Chabbert M (2014) <doi:10.1002/prot.24570> and (2) Taddese B,
 Deniaud M, Garnier A, Tiss A, Guissouma H, Abdi H, Henrion D, Chabbert M
 (2018) <doi:10.1371/journal.pcbi.1006209>. An example of side chain
 correlated motion analysis is provided in: Taddese B, Garnier A, Abdi H,
 Henrion D, Chabbert M (2020) <doi:10.1038/s41598-020-72766-1>. This work was
 supported by the French National Research Agency (Grant number:
 ANR-11-BSV2-026) and by GENCI (Grant number: 100567).

Package: r-cran-bios2mds
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2964
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-amap, r-cran-e1071, r-cran-scales, r-cran-cluster, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-bios2mds_1.2.3-1.ca2004.1_all.deb
Size: 2717632
MD5sum: c96416e01d7ebfd2d820e8af104e41f8
SHA1: f173cf23e33e6a9ac9a122dc90d2d9166f054bd0
SHA256: 2a987b801bb74a9ca7091d6dce2bebee8ad7250300a703eddc3b01c793c4d8b2
SHA512: b5142c23aeeca2297ca826befb9b451d6934478293cbf7535ddffe98bb7b05ba2bef07ebd1a485efde5e780365d2b099a94588a0d46595ee9a9e0e9a6c0ed89f
Homepage: https://cran.r-project.org/package=bios2mds
Description: CRAN Package 'bios2mds' (From Biological Sequences to Multidimensional Scaling)
 Utilities dedicated to the analysis of biological sequences by metric
 MultiDimensional Scaling with projection of supplementary data. It contains
 functions for reading multiple sequence alignment files, calculating
 distance matrices, performing metric multidimensional scaling and
 visualizing results.

Package: r-cran-biosampler
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-biosampler_1.0.4-1.ca2004.1_all.deb
Size: 55440
MD5sum: f8be9a3e92b990fa2a72bc3490af8d00
SHA1: 1d22c706a29f53fd901581b071e06ddd14d124c6
SHA256: bb59c06f3a5daae2830dada256b2551987295fefe713ff1969a2fe16fddcdbe0
SHA512: c79d299415adaf7cf0a1f56262acd553d07f4bd602aef569755550b26eecbce94cdad2b95962720975003c22efe857f6b8160ac665d4f96a24aa6fe7d4036c25
Homepage: https://cran.r-project.org/package=biosampleR
Description: CRAN Package 'biosampleR' (Biodiversity Index Calculation and Bootstrap Confidence IntervalEstimation)
 Provides tools for the calculation of common biodiversity indices from count
 data. Additionally, it incorporates bootstrapping techniques to generate
 multiple samples, facilitating the estimation of confidence intervals around
 these indices. Furthermore, the package allows for the exploration of how
 variation in these indices changes with differing numbers of sites, making
 it a useful tool with which to begin an ecological analysis. Methods are
 based on the following references: Chao et al. (2014)
 <doi:10.1890/13-0133.1>, Chao and Colwell (2022)
 <doi:10.1002/9781119902911.ch2>, Hsieh, Ma,` and Chao (2016)
 <doi:10.1111/2041-210X.12613>.

Package: r-cran-bioseq
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1403
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-vctrs, r-cran-tibble, r-cran-ape, r-cran-crayon, r-cran-dplyr, r-cran-pillar, r-cran-stringi, r-cran-stringr, r-cran-stringdist, r-cran-readr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bioseq_0.1.4-1.ca2004.1_all.deb
Size: 737904
MD5sum: 4e95a7c0e4dc011fbf90e1e81d75027f
SHA1: 09d72c99ad3f198fd5ff9be4e848eea3ecd30e43
SHA256: 39cb278632ca0506ae9d195dbb9941d88867dfd6640cad5a4aac28f5b7d96023
SHA512: 77e792708cd1a9d9c432f835e6812146abb1a1fc73366d802f60f9dbe7c6855167d714445138660090dc3ba4d700eb01229503cb21be712f08b289e6732a10d4
Homepage: https://cran.r-project.org/package=bioseq
Description: CRAN Package 'bioseq' (A Toolbox for Manipulating Biological Sequences)
 Classes and functions to work with biological sequences (DNA, RNA and amino
 acid sequences).  Implements S3 infrastructure to work with biological
 sequences as described in Keck (2020) <doi:10.1111/2041-210X.13490>.
 Provides a collection of functions to perform biological conversion among
 classes (transcription, translation) and basic operations on sequences
 (detection, selection and replacement based on positions or patterns).  The
 package also provides functions to import and export sequences from and to
 other package formats.

Package: r-cran-bioset
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-rlang, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bioset_0.2.3-1.ca2004.1_all.deb
Size: 92236
MD5sum: 5bb3872b5cded88556b94ab313ab4ef3
SHA1: 7af338b838f162f303c552732fd67da9b8715f3f
SHA256: 80a5992642c6a7afc6661a57ae4b15a78063a768e858ea59ace51c772c99d452
SHA512: 69217434c619da95b0efe5f7883a9f8fcf1a2f4fe5700d69f4fd40c5772a422f9322ad44893a6e9bc2332761cdcd5d281e38d26039dc8fc3e3946b021896b75d
Homepage: https://cran.r-project.org/package=bioset
Description: CRAN Package 'bioset' (Convert a Matrix of Raw Values into Nice and Tidy Data)
 Functions to help dealing with raw data from measurements, like reading and
 transforming raw values organized in matrices, calculating and converting
 concentrations and calculating precision of duplicates / triplicates / ... .
 It is compatible with and building on top of some 'tidyverse'-packages.

Package: r-cran-biosignalemg
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 640
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Filename: pool/dists/focal/main/r-cran-biosignalemg_2.1.0-1.ca2004.1_all.deb
Size: 461548
MD5sum: fe2a10c4085d2d8900c9e7834b1d57c0
SHA1: 36468ff981208d140467f52fb671c94fcc45ba3e
SHA256: a3ed48664e00333278c8703bb588919a8b99a7ddba3e8434349b19b6b8fd4f25
SHA512: 6e4bf165d9888c98119fa4b26a1212e01afe3394453bd49792c0fd675569e2230415a03ad51296f6cf566ea41fcda9a7cbb234a353acedf09434d81d090a72b5
Homepage: https://cran.r-project.org/package=biosignalEMG
Description: CRAN Package 'biosignalEMG' (Tools for Electromyogram Signals (EMG) Analysis)
 Data processing tools to compute the rectified, integrated and the averaged
 EMG. Routines for automatic detection of activation phases. A routine to
 compute and plot the ensemble average of the EMG. An EMG signal simulator
 for general purposes.

Package: r-cran-biosnr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-pracma, r-cran-scales
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-biosnr_1.0-1.ca2004.1_all.deb
Size: 123624
MD5sum: 7987c6f3efd7ad8da6f7acbc53519daa
SHA1: 21898db825c6ab1a3cff6672d083227cb42e9883
SHA256: bc488f9abf57d0eaf901542e9c5fb15a79c77d8a59347a289ecf71c516407ca5
SHA512: 5984d22b175fd4b9f7cdb7bfa772da77d20ee114c91f21a267c30b098b370006d5e638aacf51f77948db75b65189e32909821198b93b9e275689c9c6bea321ca
Homepage: https://cran.r-project.org/package=bioSNR
Description: CRAN Package 'bioSNR' (Bioacoustic Basic Operations with Decibels and the Passive SonarEquation)
 A beginners toolbox to help those in ecology who want to deepen their
 understanding or utilize Bioacoustics in their work. The package has a
 number of utilizations from calculating frequency from waveform, performing
 operations in dB, and determining acoustic range of recorders. The majority
 of this package is based on key concepts learned from the K. Lisa Yang
 Center for Conservation Bioacoustics at Cornell University and their
 associated course: Introduction to Bioacoustics course. More information can
 be found within the walk through vignettes at
 <https://github.com/MattyD797/bioSNR/tree/main/vignettes>.

Package: r-cran-biospear
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pkgconfig, r-cran-cobs, r-cran-corpcor, r-cran-devtools, r-cran-glmnet, r-cran-grplasso, r-cran-mass, r-cran-matrix, r-cran-mboost, r-cran-plsrcox, r-cran-proc, r-cran-prroc, r-cran-rcurl, r-cran-survauc, r-cran-survival
Filename: pool/dists/focal/main/r-cran-biospear_1.0.2-1.ca2004.1_all.deb
Size: 3297108
MD5sum: a060d2c408fbce439be81492e88a7382
SHA1: f59560e0f9cf17cd0c24e7b379a0ee1d9211a573
SHA256: 875fd04a9121e9ae7d6fc8ca8e17166d1ba0cea29c0edbea2907669b26e74092
SHA512: 90deb70510b95663d67e72210df4c6e2b98910755b350662fd3f7cdab3ba313e888de0505771f7465544ac079fb302135947fbd1f68c85885e065c9f92a184f2
Homepage: https://cran.r-project.org/package=biospear
Description: CRAN Package 'biospear' (Biomarker Selection in Penalized Regression Models)
 Provides some tools for developing and validating prediction models,
 estimate expected survival of patients and visualize them graphically. Most
 of the implemented methods are based on penalized regressions such as: the
 lasso (Tibshirani R (1996)), the elastic net (Zou H et al. (2005)
 <doi:10.1111/j.1467-9868.2005.00503.x>), the adaptive lasso (Zou H (2006)
 <doi:10.1198/016214506000000735>), the stability selection (Meinshausen N et
 al. (2010) <doi:10.1111/j.1467-9868.2010.00740.x>), some extensions of the
 lasso (Ternes et al. (2016) <doi:10.1002/sim.6927>), some methods for the
 interaction setting (Ternes N et al. (2016) <doi:10.1002/bimj.201500234>),
 or others. A function generating simulated survival data set is also
 provided.

Package: r-cran-biostat3
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7557
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass
Suggests: r-cran-car, r-cran-bshazard, r-cran-rstpm2, r-cran-epi, r-cran-dplyr, r-cran-ggplot2, r-cran-muhaz
Filename: pool/dists/focal/main/r-cran-biostat3_0.2.2-1.ca2004.1_all.deb
Size: 2772996
MD5sum: 3326631b84adf6582b0c1256c8c92379
SHA1: 23fd6644b8b3b6aaa2ea6fa1348b966612245c7b
SHA256: 210f8ff22913f17b2deb41049f168564876fb7b46d5af6fcd0d370cff9bf1fc5
SHA512: 835885f0e44ee93e8d0c663cc8ddc16c14e0629601a69a3856e32b017d0b64431d94f2b5814edec154f67b137d61e242706919974b64a6fe425b4a0a5f2ee971
Homepage: https://cran.r-project.org/package=biostat3
Description: CRAN Package 'biostat3' (Utility Functions, Datasets and Extended Examples for SurvivalAnalysis)
 Utility functions, datasets and extended examples for survival analysis.
 This extends a range of other packages, some simple wrappers for
 time-to-event analyses, datasets, and extensive examples in HTML with R
 scripts. The package also supports the course Biostatistics III entitled
 "Survival analysis for epidemiologists in R".

Package: r-cran-biostatistics
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3639
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnr
Suggests: r-cran-ggplot2, r-cran-car, r-cran-plotrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biostatistics_1.0.4-1.ca2004.1_all.deb
Size: 3074780
MD5sum: cae0ee5675b4d09b496e9ee6efc5502e
SHA1: 460730d5202d7366f211aa35904643cb0895e1cf
SHA256: f534d09edd8ef56df553a0156f3799441abb59ae3dbbac68891146a770feb26e
SHA512: c3925f5fe9f4734c79066b87034de87e7ca2acff7fc4ca481dc8cc0e4653779fc90dbd0faa5a9278bb2ad4118665b569622fdada8488ea917bdf8415d7063b20
Homepage: https://cran.r-project.org/package=Biostatistics
Description: CRAN Package 'Biostatistics' (Statistics Tutorials for Biologists)
 Tutorials for statistics, aimed at biological scientists.  Subjects range
 from basic descriptive statistics through to complex linear modelling. The
 tutorials include text, videos, interactive coding exercises and multiple
 choice quizzes. The package also includes 19 datasets which are used in the
 tutorials.

Package: r-cran-biostatr
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-biostatr_4.0.1-1.ca2004.1_all.deb
Size: 82104
MD5sum: df21624774147839e5160c60cad0f89f
SHA1: 9250f25cb3861baa584bdf6aecb37da4b5b077f6
SHA256: 16e8173fabc206b9d32a3a08210a7c5c5282ee3dd1954adeb001643646b19a6a
SHA512: 3f428ff714bd1d928039b2df448b24fee3b875349515a0bc8d08fa78582a05a8f5af5b2e45803a0fef91b7aa4b6d58a0a270841393816ea1337b434aed8eec19
Homepage: https://cran.r-project.org/package=BioStatR
Description: CRAN Package 'BioStatR' (Initiation à La Statistique Avec R)
 Datasets and functions for the book "Initiation à la Statistique avec R", F.
 Bertrand and M. Maumy-Bertrand (2022, ISBN:978-2100782826 Dunod, fourth
 edition).

Package: r-cran-biostats101
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biostats101_0.1.1-1.ca2004.1_all.deb
Size: 44176
MD5sum: 92ca7acd9a7d695008b25138c90fca67
SHA1: e6d53f770fe4b7e2133ae9103ef4d2098ae78bca
SHA256: bc93ed3d228f59b90413f62bfa29b6421d90ee0eb09f4b8734f09dbb8c8de30f
SHA512: 0dbecf64b28de167607af3289d20b8d4991d27be37f5ae9b15aa1d0c16dd419c02d2d5dec80816743da2d6b6956e314d62a43c8e4aac88cd05031bbc9e322fc7
Homepage: https://cran.r-project.org/package=biostats101
Description: CRAN Package 'biostats101' (Practical Functions for Biostatistics Beginners)
 A set of user-friendly functions designed to fill gaps in existing
 introductory biostatistics R tools, making it easier for newcomers to
 perform basic biostatistical analyses without needing advanced programming
 skills.  The methods implemented in this package are based on the works:
 Connor (1987) <doi:10.2307/2531961> Fleiss, Levin, & Paik (2013,
 ISBN:978-1-118-62561-3) Levin & Chen (1999)
 <doi:10.1080/00031305.1999.10474431> McNemar (1947)
 <doi:10.1007/BF02295996>.

Package: r-cran-biostatsuhnplus
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1859
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-afex, r-cran-coda, r-cran-cowplot, r-cran-dplyr, r-cran-forcats, r-cran-ggh4x, r-cran-ggplot2, r-cran-lifecycle, r-cran-mcmcglmm, r-cran-modeest, r-cran-openxlsx, r-cran-plyr, r-cran-purrr, r-cran-reportrmd, r-cran-rlang, r-cran-rstatix, r-cran-stringi, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biostatsuhnplus_1.0.2-1.ca2004.1_all.deb
Size: 1642296
MD5sum: b1d48cc08013e881510a5968c1e02ff9
SHA1: 1bee1528ee2840467dc3cca1388689a5a7116f93
SHA256: cf9eb262e7848106094f1fd1c26eb3c72a1f31529a25b3c8014e262688b873dc
SHA512: 3ed2379b7ec5a1ba7566cda13408304c03c7f86399f0cdf11de2528e452b61120120fc3c6ae4f5527be1214d51c156b31ca0aa6cb4b63b670f3ca0cfc1b5de45
Homepage: https://cran.r-project.org/package=BiostatsUHNplus
Description: CRAN Package 'BiostatsUHNplus' (Nested Data Summary, Adverse Events and REDCap)
 Tools and code snippets for summarizing nested data, adverse events and
 REDCap study information.

Package: r-cran-biosurvey
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3853
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diptest, r-cran-doparallel, r-cran-foreach, r-cran-ks, r-cran-maps, r-cran-picante, r-cran-raster, r-cran-rgdal, r-cran-rgeos, r-cran-sp, r-cran-spatstat.geom, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biosurvey_0.1.1-1.ca2004.1_all.deb
Size: 2969420
MD5sum: 6540c7686dc0e0964508aeb7fa6a463c
SHA1: 5aa5d8e99a0125909e95d6822abcb9121bf37447
SHA256: 3a6d544ef00c2d23403d29fc8c0c2260ea1375c6443483da23b0569386aa4160
SHA512: b03943f8366fa7ef50b3458c16203bb1f366ce8b204956fdb8ef3ae76507bbce1d1ae407dcadb5982fd8cd2815309c1ce907239415a8b94fdaf505e70919b12b
Homepage: https://cran.r-project.org/package=biosurvey
Description: CRAN Package 'biosurvey' (Tools for Biological Survey Planning)
 A collection of tools that allows users to plan systems of sampling sites,
 increasing the efficiency of biodiversity monitoring by considering the
 relationship between environmental and geographic conditions in a region.
 The options for selecting sampling sites included here differ from other
 implementations in that they consider the environmental and geographic
 conditions of a region to suggest sampling sites that could increase the
 efficiency of efforts dedicated to monitoring biodiversity. The methods
 proposed here are new in the sense that they combine various criteria and
 points previously made in related literature; some of the theoretical and
 methodological bases considered are described in: Arita et al. (2011)
 <doi:10.1111/j.1466-8238.2011.00662.x>, Soberón and Cavner (2015)
 <doi:10.17161/bi.v10i0.4801>, and Soberón et al.  (2021).

Package: r-cran-biotic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biotic_0.1.2-1.ca2004.1_all.deb
Size: 68052
MD5sum: fc9e6f8ece78582659ec3cf8fc8fc24e
SHA1: f2694fdfca3656d5e93bc878ebdcca3f11360516
SHA256: 469f88ca0a2e37b8799b763154a2581c26a6d60d1571893026ad32a83754ab5a
SHA512: 69d15cb1f4a12a7f93c75aba0ed445035a225fcc5443af9254ae700b5bcef2e0621695e41a90258661cb10001a253e9705a9aba69f316c2cc005459bf9a7944c
Homepage: https://cran.r-project.org/package=biotic
Description: CRAN Package 'biotic' (Calculation of Freshwater Biotic Indices)
 Calculates a range of UK freshwater invertebrate biotic indices including
 BMWP, Whalley, WHPT, Habitat-specific BMWP, AWIC, LIFE and PSI.

Package: r-cran-biotimer
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1519
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-vegan, r-cran-dggridr, r-cran-checkmate
Suggests: r-cran-maps, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-biotimer_0.2.4-1.ca2004.1_all.deb
Size: 1097708
MD5sum: 0cd9fd7636663eed7b93610f296f6aee
SHA1: 87491bb2dcfada1effd40551460c728bc850e308
SHA256: cfa1f652f5c8d9e768e8138d9425de4203164b8634b22bf2482809b666dc1748
SHA512: 8847d4407b863a29e52816a26c01ac93b0b6545c175e42bea4d0bfd659c4f45ad777e01d386dc2efd1747aae2b312c075712139908ea7fe6759fd3053531556b
Homepage: https://cran.r-project.org/package=BioTIMEr
Description: CRAN Package 'BioTIMEr' (Tools to Use and Explore the 'BioTIME' Database)
 The 'BioTIME' database was first published in 2018 and inspired ideas,
 questions, project and research article. To make it even more accessible, an
 R package was created.  The 'BioTIMEr' package provides tools designed to
 interact with the 'BioTIME' database. The functions provided include the
 'BioTIME' recommended methods for preparing (gridding and rarefaction) time
 series data, a selection of standard biodiversity metrics (including species
 richness, numerical abundance and exponential Shannon) alongside examples on
 how to display change over time. It also includes a sample subset of both
 the query and meta data, the full versions of which are freely available on
 the 'BioTIME' website <https://biotime.st-andrews.ac.uk/home.php>.

Package: r-cran-biotools
Architecture: all
Version: 4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-boot
Suggests: r-cran-soilphysics, r-cran-tkrplot, r-cran-rpanel, r-cran-lattice, r-cran-spatialepi, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biotools_4.3-1.ca2004.1_all.deb
Size: 247652
MD5sum: 1d3f915d5c66bdc5c0bff990ac6b1e07
SHA1: d58d6c40121450d009b5502453b911c4f857ab06
SHA256: f0c84a4b2e64f2b5a6745c79c59e7dcc8b628b46ab7decd9057ce75e7e893f24
SHA512: 474f488b4d1ca68922dd85edea38335102fc54a1ccc0be3ab54ec31e66fd7aa427bbb85003f7b4e7b5e4f12773d876336613ad3f2aefc0de50f9f15f9e763ecc
Homepage: https://cran.r-project.org/package=biotools
Description: CRAN Package 'biotools' (Tools for Biometry and Applied Statistics in AgriculturalScience)
 Tools designed to perform and evaluate cluster analysis (including Tocher's
 algorithm), discriminant analysis and path analysis (standard and under
 collinearity), as well as some useful miscellaneous tools for dealing with
 sample size and optimum plot size calculations.  A test for seed sample
 heterogeneity is now available. Mantel's permutation test can be found in
 this package.  A new approach for calculating its power is implemented.
 biotools also contains tests for genetic covariance components.  Heuristic
 approaches for performing non-parametric spatial predictions of generic
 response variables and spatial gene diversity are implemented.

Package: r-cran-biotrajectory
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4898
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-av, r-cran-imager, r-cran-png, r-cran-tiff, r-cran-jpeg, r-cran-mass, r-cran-dplyr, r-cran-rpanel
Filename: pool/dists/focal/main/r-cran-biotrajectory_1.0.1-1.ca2004.1_all.deb
Size: 4131000
MD5sum: f65ee6aff938e1864b5520d31c851d12
SHA1: 718ad0edb9059c398e9eb64a8f63954195b8b409
SHA256: efa7187576cc5438b13abea91478028a70fabb2d172b278c3d933dfeb602a0c0
SHA512: 0bd23216919be550cf4bdfcb27642f8ca07279ddc31aa36ab0888db4e246b4634b5fe6e6495af8c6cd3ed003bd09415099c4ac979b5e1019934d5737f1c9eccc
Homepage: https://cran.r-project.org/package=BioTrajectory
Description: CRAN Package 'BioTrajectory' (Image Processing Tools for Barnes Maze Experiments)
 Tools to process the information obtained from experiments conducted in the
 Barnes Maze. These tools enable the detection of trajectories generated by
 subjects during trials, as well as the acquisition of precise coordinates
 and relevant statistical data regarding the results. Through this approach,
 it aims to facilitate the analysis and interpretation of observed behaviors,
 thereby contributing to a deeper understanding of learning and memory
 processes in such experiments.

Package: r-cran-biovenn
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biomart, r-cran-plotrix, r-cran-svglite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-biovenn_1.1.3-1.ca2004.1_all.deb
Size: 92524
MD5sum: ece30fd6c503802327f5af462e06746e
SHA1: ea7f88382f7a0a054440ca111bc20c04dcdce00b
SHA256: 8d8541e4ab24770c5c3f639a66a39a44a574df648e1980241f65412a9c96d8c7
SHA512: 2ef6eb250373da60768baa2017f648c54e1ead9ccb843f73767b3025187ec50a6a8d0174dbb6bbe45547072218aacb8f8f623712bafe0c5b1e4a86fb86858495
Homepage: https://cran.r-project.org/package=BioVenn
Description: CRAN Package 'BioVenn' (Create Area-Proportional Venn Diagrams from Biological Lists)
 Creates an area-proportional Venn diagram of 2 or 3 circles. 'BioVenn' is
 the only R package that can automatically generate an accurate
 area-proportional Venn diagram by having only lists of (biological)
 identifiers as input. Also offers the option to map Entrez and/or Affymetrix
 IDs to Ensembl IDs. In SVG mode, text and numbers can be dragged and
 dropped. Based on the BioVenn web interface available at
 <https://www.biovenn.nl>. Hulsen (2021) <doi:10.3233/DS-210032>.

Package: r-cran-biovizseq
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4010
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-rcolorbrewer, r-cran-seqinr, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-bioc-ggtree, r-bioc-treeio, r-cran-ggh4x, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-biovizseq_1.0.3-1.ca2004.1_all.deb
Size: 1670484
MD5sum: fb000bfa5a7df28394fc27af87bf15a1
SHA1: 3b72003ee591cef27cd3d97aae554bd4f3e93e3b
SHA256: c6692ab37f4af980d4c15bc5449f54ec3c0982a6be2668d50b06833244db5864
SHA512: 220ef7a3e1fd8af4e673fa428324a5abef22e81397bc779bf0f71bee85abd67a774546b0ebdd6b757126c726fce7ec202b26c9d1dc903e34d67c35816ba321e7
Homepage: https://cran.r-project.org/package=BioVizSeq
Description: CRAN Package 'BioVizSeq' (Visualizing the Elements Within Bio-Sequences)
 Visualizing the types and distribution of elements within bio-sequences. At
 the same time, We have developed a geom layer, geom_rrect(), that can
 generate rounded rectangles. No external references are used in the
 development of this package.

Package: r-cran-bipartited3
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 975
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-r2d3, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-bipartite, r-cran-vegan, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bipartited3_0.3.2-1.ca2004.1_all.deb
Size: 183332
MD5sum: 12a9ee76f73bff530fb09af939ba6bbf
SHA1: 860087ba5e751427e2e51f4eb8ad60ffd706c6d4
SHA256: 3adbd42189dc9fced9240699d727d07e092af2e98dec5425d34c9962bdfc38fe
SHA512: 22efa1bc34eb94a3c90683831bce37c5d397f776bd3b52ae9edd4da6b4a31e5e9520172040d07658af3893ad5c790e91169496d116ecad5466539f75af311271
Homepage: https://cran.r-project.org/package=bipartiteD3
Description: CRAN Package 'bipartiteD3' (Interactive Bipartite Graphs)
 Generates interactive bipartite graphs using the D3 library.  Designed for
 use with the 'bipartite' analysis package.  Includes open source 'viz-js'
 library Adapted from examples at <https://bl.ocks.org/NPashaP> (released
 under GPL-3).

Package: r-cran-bipd
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-mvtnorm, r-cran-dplyr
Suggests: r-cran-dclone, r-cran-r2winbugs, r-cran-mice, r-cran-micemd, r-cran-miceadds, r-cran-mitools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bipd_0.3-1.ca2004.1_all.deb
Size: 124136
MD5sum: 05e130ac44601586970288da2cf37a2f
SHA1: 304e75bf7a92b2357a2dc40738d269833e0d9ae6
SHA256: f1d3fb1e46fea4b00e9a6b020a6674ecb222606ec4d0e4d766b295d9d4c1ac12
SHA512: f1bd1ce2840b578b9d9bb0937b0f0eea44a1fe5d0b88b5a82f1e03be6b7dfad6c34c2139cd206e5b801c01c81aeaec44027d99b6173e24747241da44ef8274a1
Homepage: https://cran.r-project.org/package=bipd
Description: CRAN Package 'bipd' (Bayesian Individual Patient Data Meta-Analysis using 'JAGS')
 We use a Bayesian approach to run individual patient data meta-analysis and
 network meta-analysis using 'JAGS'. The methods incorporate shrinkage
 methods and calculate patient-specific treatment effects as described in Seo
 et al. (2021) <DOI:10.1002/sim.8859>. This package also includes
 user-friendly functions that impute missing data in an individual patient
 data using mice-related packages.

Package: r-cran-bipl5
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-crayon, r-cran-htmlwidgets, r-cran-knitr, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-bipl5_1.0.2-1.ca2004.1_all.deb
Size: 274892
MD5sum: 95f22358a48e9dde1828096b0a583397
SHA1: 4a4dc40d879fddfe87454462adbd0200a5b9342f
SHA256: 70ec5623398f0013daf500e6caae40fd13cd450e315ea24ce4c08e22bdeb05af
SHA512: a06dcf92e8d8bbab32524b3fb89b1a203937c5562d36d1ac7f3cde7da0e4a1eeafbdf458bb0a1852036eb58e4e7bb35b307316a62008f57d3be5059fb8bb8f1e
Homepage: https://cran.r-project.org/package=bipl5
Description: CRAN Package 'bipl5' (Construct Reactive Calibrated Axes Biplots)
 A modern view on the principal component analysis biplot with calibrated
 axes. Create principal component analysis biplots rendered in HTML with
 significant reactivity embedded within the plot. Furthermore, the
 traditional biplot view is enhanced by translated axes with inter-class
 kernel densities superimposed. For more information on biplots, see Gower,
 J.C., Lubbe, S. and le Roux, N.J. (2011, ISBN: 978-0-470-01255-0).

Package: r-cran-biplotbootgui
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-dendroextras, r-cran-mass, r-cran-matlib, r-cran-rgl, r-cran-shapes, r-cran-tcltk2, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-biplotbootgui_1.3-1.ca2004.1_all.deb
Size: 291704
MD5sum: 839eb928434604f9a29c0c22c2df7125
SHA1: 974c4ef0690f8d8dca6e200a5a6fe33839a6a6b8
SHA256: 18ac105c0ebd3fcd3e1011ede6fe70f738349e9de8c774fd836951fb6a7e1385
SHA512: 67321a1acbe9b7e446471534333573ea37659007d00565d6cace1ef3c134c6abdfd6472d2aa00fccd15f732e00e76fefd3e3a61071a7c0fce287dfd98b748941
Homepage: https://cran.r-project.org/package=biplotbootGUI
Description: CRAN Package 'biplotbootGUI' (Bootstrap on Classical Biplots and Clustering Disjoint Biplot)
 A GUI with which the user can construct and interact with Bootstrap methods
 on Classical Biplots and with Clustering and/or Disjoint Biplot. This GUI is
 also aimed for estimate any numerical data matrix using the Clustering and
 Disjoint Principal component (CDPCA) methodology.

Package: r-cran-biplotml
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimr, r-cran-optimx, r-cran-shapes
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rspectra, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-pracma, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-biplotml_1.1.0-1.ca2004.1_all.deb
Size: 121968
MD5sum: c69d575102c2affdf2ae9641090f26bf
SHA1: fca48abc018a09ded9a9d98314f59e6ae0bc4cf4
SHA256: 3e38fe0a8a6d7d99e999bea22618016af3d0d0a074afad11662f6ee8f0e98a2d
SHA512: fb659ade7fee04f8f65ae89736f3d590f6311b77015b44acfa9fded706d47fe3cdc91dc4af8f68127bf0db748225dc72ef3fcd6aa022821ea7f1cd7b54e72ccd
Homepage: https://cran.r-project.org/package=BiplotML
Description: CRAN Package 'BiplotML' (Biplots Estimation with Algorithms ML)
 Logistic Biplot is a method that allows representing multivariate binary
 data on a subspace of low dimension, where each individual is represented by
 a point and each variable as vectors directed through the origin. The
 orthogonal projection of individuals onto these vectors predicts the
 expected probability that the characteristic occurs. The package contains
 new techniques to estimate the model parameters and constructs in each case
 the 'Logistic-Biplot'. References can be found in the help of each
 procedure.

Package: r-cran-birankr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-birankr_1.0.1-1.ca2004.1_all.deb
Size: 66028
MD5sum: 634ad9c93c7f70c4ca8828376288e5d3
SHA1: 5efe4c2841e4a62e24156510f6aca8df1418fbac
SHA256: 4f9451ef3418e5f621569015a93e4eb34209c21a5352c53580100a8c505133ca
SHA512: 9b6e5ce1366757ebfbfdb507c71d81b9f47af032771d7b666ba8354a957cbfc4ef2261fc94c21c4b66b2b973ed153584b8ac61044e5dbf903248490c916e3956
Homepage: https://cran.r-project.org/package=birankr
Description: CRAN Package 'birankr' (Ranking Nodes in Bipartite and Weighted Networks)
 Highly efficient functions for estimating various rank (centrality) measures
 of nodes in bipartite graphs (two-mode networks). Includes methods for
 estimating HITS, CoHITS, BGRM, and BiRank with implementation primarily
 inspired by He et al. (2016) <doi:10.1109/TKDE.2016.2611584>. Also provides
 easy-to-use tools for efficiently estimating PageRank in one-mode graphs,
 incorporating or removing edge-weights during rank estimation, projecting
 two-mode graphs to one-mode, and for converting edgelists and matrices to
 sparseMatrix format. Best of all, the package's rank estimators can work
 directly with common formats of network data including edgelists (class
 data.frame, data.table, or tbl_df) and adjacency matrices (class matrix or
 dgCMatrix).

Package: r-cran-birdnetr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 685
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate
Suggests: r-cran-arrow, r-cran-curl, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-birdnetr_0.3.2-1.ca2004.1_all.deb
Size: 574168
MD5sum: 969bd98982e5003d9de21b76dd3fc30f
SHA1: 969df8eb43bde2ac2bb63dc57af459e05da770fa
SHA256: edfaf62a043a900a0ca94278e2b12f043479c3d21b2ded6cad9c3fa22645a2da
SHA512: c395e2a5c282278b6116b1f04eee869b19296c950d1a0a90cc26093915868d0345bc7944b67bf56cff1d600099023854aa2d51d360e2c97fe5faf0d4c5295ca8
Homepage: https://cran.r-project.org/package=birdnetR
Description: CRAN Package 'birdnetR' (Deep Learning for Automated (Bird) Sound Identification)
 Use 'BirdNET', a state-of-the-art deep learning classifier, to automatically
 identify (bird) sounds.  Analyze bioacoustic datasets without any computer
 science background using a pre-trained model or a custom trained classifier.
 Predict bird species occurrence based on location and week of the year.
 Kahl, S., Wood, C. M., Eibl, M., & Klinck, H. (2021)
 <doi:10.1016/j.ecoinf.2021.101236>.

Package: r-cran-birdring
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1231
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geosphere, r-cran-ks, r-cran-lazydata, r-cran-raster
Filename: pool/dists/focal/main/r-cran-birdring_1.6-1.ca2004.1_all.deb
Size: 587748
MD5sum: 6d7211b36f1d4c29bd3d10fc753990a6
SHA1: 1b1dcfb4d132c4b211878cc4e78ad1108e79032c
SHA256: ec2948221825b9f27bfe9d0e3ebe7fa9df07c58f494affeaebdd49932365c6b4
SHA512: 6f570e080beb236fe9aa0b42c23f83b3e979e64de18e9071b9ebb59f2d732635343da98a85bdbc6a4814da9b4144449fd327cca7cbb4475475691dfecb8ef201
Homepage: https://cran.r-project.org/package=birdring
Description: CRAN Package 'birdring' (Methods to Analyse Ring Re-Encounter Data)
 R functions to read EURING data and analyse re-encounter data of birds
 marked by metal rings. For a tutorial, go to
 <doi:10.1080/03078698.2014.933053>.

Package: r-cran-birdscanr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-suntools, r-cran-modi, r-cran-reshape2, r-cran-rodbc, r-cran-rpostgresql, r-cran-rlang, r-cran-rstudioapi, r-cran-sp, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-birdscanr_0.3.0-1.ca2004.1_all.deb
Size: 695176
MD5sum: 88e27ad61c6ecb41cc1ebb9111d79e59
SHA1: 0345bbb4a087a75ba4f3392a38f0cdea67626b13
SHA256: d1b4cb99c3682ae78838264e83383789c3a89360aad66053624e8b4480372bbc
SHA512: 8fca67cd3c64811ba40312db466e1d20d3235429926f383139a79204cb14840a649a859910dc9cabf1b1ea4dab8ae4b91d917f02bc720126d16c95dcb6bae062
Homepage: https://cran.r-project.org/package=birdscanR
Description: CRAN Package 'birdscanR' (Migration Traffic Rate Calculation Package for 'Birdscan MR1'Radars)
 Extract data from 'Birdscan MR1' 'SQL' vertical-looking radar databases,
 filter, and process them to Migration Traffic Rates (#objects per hour and
 km) or density (#objects per km3) of, for example birds, and insects. Object
 classifications in the 'Birdscan MR1' databases are based on the dataset of
 Haest et al. (2021) <doi:10.5281/zenodo.5734960>). Migration Traffic Rates
 and densities can be calculated separately for different height bins (with a
 height resolution of choice) as well as over time periods of choice (e.g.,
 1/2 hour, 1 hour, 1 day, day/night, the full time period of observation, and
 anything in between). Two plotting functions are also included to explore
 the data in the 'SQL' databases and the resulting Migration Traffic Rate
 results. For details on the Migration Traffic Rate calculation procedures,
 see Schmid et al. (2019) <doi:10.1111/ecog.04025>.

Package: r-cran-birk
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-birk_2.1.2-1.ca2004.1_all.deb
Size: 46172
MD5sum: 73cb85b1e09d86224d6c2708547cf61c
SHA1: 606f0cca288a054209c7bb80137355f84b04b4fc
SHA256: 41f04dfbad90be73c45e30b8265637b7490ad4305debe2b899f544993f513916
SHA512: c547d6e693ff69fac239930d8085f7ed93dfbeafc66e64de0aea82f5ebbd3c2ba703de81a4441c38f5c55747c0c3ac7a7c63cb9a8cbacda03d7ff5ae6fea6ba0
Homepage: https://cran.r-project.org/package=birk
Description: CRAN Package 'birk' (MA Birk's Functions)
 Collection of tools to make R more convenient. Includes tools to summarize
 data using statistics not available with base R and manipulate objects for
 analyses.

Package: r-cran-birtr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-birtr_1.0.0-1.ca2004.1_all.deb
Size: 56072
MD5sum: fafe270adf2f5ddb4ffea057c61f5338
SHA1: 269ad2e2dc907ea1ab4d1b523dde5360ad2569f9
SHA256: 29a4c5384f903a185683091395647618ad17800077ae8b042ed8ed7e6ac2b009
SHA512: d30a3515f59341fb35629f482f4f4a1c9461d6c2b0b3331041987710c11e3af8ee2b33e931200c1a737e09bc49da56589408a7fb44817e3ae9ee091c33010b57
Homepage: https://cran.r-project.org/package=birtr
Description: CRAN Package 'birtr' (The R Package for "The Basics of Item Response Theory Using R")
 R functions for "The Basics of Item Response Theory Using R" by Frank B.
 Baker and Seock-Ho Kim (Springer, 2017, ISBN-13: 978-3-319-54204-1)
 including iccplot(), icccal(), icc(), iccfit(), groupinv(), tcc(),
 ability(), tif(), and rasch().  For example, iccplot() plots an item
 characteristic curve under the two-parameter logistic model.

Package: r-cran-bis
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-bis_0.4-1.ca2004.1_all.deb
Size: 23420
MD5sum: c5796e440d06d9d4e7fa1155e6704178
SHA1: 4e08f5662672d5ecf5765560a51d564ed69fb9cd
SHA256: 5a4f7a23da62c7cf13267d0717cb18a6aff936b6c589287f69ba1f9e0fd68a16
SHA512: f03fe23f9b5af52576dd3f558e304a8c507ceb5515b382829dd28835ef08c1a2235cb533249f5d0cdf7cfc1c9fd8eb0b35e459f5248dc1d5b3feeba5b45d179f
Homepage: https://cran.r-project.org/package=BIS
Description: CRAN Package 'BIS' (Programmatic Access to Bank for International Settlements Data)
 Provides an interface to data provided by the Bank for International
 Settlements <https://www.bis.org>, allowing for programmatic retrieval of a
 large quantity of (central) banking data.

Package: r-cran-biscale
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4142
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-classint, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-cowplot, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-biscale_1.0.0-1.ca2004.1_all.deb
Size: 2529852
MD5sum: df311a41b5e9e4b69877434034736fc8
SHA1: 31dd4c082fde83be7c003c0356e5de71d98921f9
SHA256: 6f78481a5928286c6ae5ced88701c5a3f80d494d9279a607b35df084f6775fa9
SHA512: 8979e4da7866c5ebc638658104cf8d18dd0aca505b018a188e549e4cb369a3a75f9d49110107ec8affa301e07a0e32f1120dbcdc82168bb888f2e182c5968141
Homepage: https://cran.r-project.org/package=biscale
Description: CRAN Package 'biscale' (Tools and Palettes for Bivariate Thematic Mapping)
 Provides a 'ggplot2' centric approach to bivariate mapping. This is a
 technique that maps two quantities simultaneously rather than the single
 value that most thematic maps display. The package provides a suite of tools
 for calculating breaks using multiple different approaches, a selection of
 palettes appropriate for bivariate mapping and scale functions for 'ggplot2'
 calls that adds those palettes to maps. Tools for creating bivariate legends
 are also included.

Package: r-cran-bisdata
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-zoo
Filename: pool/dists/focal/main/r-cran-bisdata_0.2-3-1.ca2004.1_all.deb
Size: 21608
MD5sum: b9fe5fbec20ab8b1d7a8dbe4d8ddfcf3
SHA1: 3fc364b3ba3c0c0f972c8aa1b3916953ffa1ec72
SHA256: b7dad77bc348ba5c89bc15ec9ab1d9065965d5c2e672f68077905a364ce2550c
SHA512: 594355f2f192679de8a8099c3d34bedf25e2e526427a2b5cbb03fd929ca85925cb24719b86ad0141c36828c2cb065c47ffe7561482c83777da8e1397a565894e
Homepage: https://cran.r-project.org/package=BISdata
Description: CRAN Package 'BISdata' (Download Data from the Bank for International Settlements (BIS))
 Functions for downloading data from the Bank for International Settlements
 (BIS; <https://www.bis.org/>) in Basel.  Supported are only full datasets in
 (typically) CSV format.  The package is lightweight and without
 dependencies; suggested packages are used only if data is to be transformed
 into particular data structures, for instance into 'zoo' objects. Downloaded
 data can optionally be cached, to avoid repeated downloads of the same
 files.

Package: r-cran-bisect
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-sirt, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bisect_0.9.0-1.ca2004.1_all.deb
Size: 562492
MD5sum: 9c4f857344a96588e8af414f0e90979d
SHA1: 065fbc29935c1166ddf0eba6adfd9d42d77f2291
SHA256: 1ddf645a0e8725bbd5900bc9b98cddb1f86d558498077945342e2c7a9650bce1
SHA512: f1ca6511551aa093c03ce4e64a992bca7a2772158c75648409c19bbdb8d84932a3d7a0a797f406cd7118280b193941887e3e184795b98f3d62edeae49d2524cb
Homepage: https://cran.r-project.org/package=bisect
Description: CRAN Package 'bisect' (Estimating Cell Type Composition from Methylation SequencingData)
 An implementation of Bisect, a method for inferring cell type composition of
 samples based on methylation sequencing data (Whole Genome Bisulfite
 Sequencing and Reduced Representation Sequencing). The method is
 specifically tailored for sequencing data, and therefore works better than
 methods developed for methylation arrays. It contains a supervised mode that
 requires a reference (the methylation probabilities in the pure cell types),
 and a semi-supervised mode, that requires cell counts for a subset of the
 samples, but does not require a reference.

Package: r-cran-bisectr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-bisectr_0.1.0-1.ca2004.1_all.deb
Size: 24804
MD5sum: ea5184987874d949195673da3bb641aa
SHA1: e441ceecba778bc2e59b2a48522ac19c7eb30a71
SHA256: 49a480a7ac4cc7260b130df25b5543253282a3d24074f9b0381a0d04055e6a65
SHA512: 7d97c0e887e2e6de360c43b81a92b702944600c70018ef15f88db95d715f8c63463bf169c05c87353e8542f51f13fc404b270ace5d2403d287fef75c8fe58be4
Homepage: https://cran.r-project.org/package=bisectr
Description: CRAN Package 'bisectr' (Tools to find bad commits with git bisect)
 Tools to find bad commits with git bisect. See
 https://github.com/wch/bisectr for examples and test script templates.

Package: r-cran-bisep
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationdbi, r-cran-mclust, r-bioc-go.db, r-bioc-org.hs.eg.db, r-bioc-gosemsim
Filename: pool/dists/focal/main/r-cran-bisep_2.3-1.ca2004.1_all.deb
Size: 324600
MD5sum: bc2f1404dc5c2b8b8a9526039c41a44d
SHA1: 9c135b3985c2b93c5e92428f5a207b3893e76c2d
SHA256: ad98a1a409f4248deddc39acec7abb77532d7abde19c3f1310bd920aa99569db
SHA512: e8397aa82e833dee1b83009249e0eb66ed03258e5381e2e74be6d734bc85a4720e276aac2a3e65ff371dac0057d03677b163efd20056f6de6018d4dafb433c3f
Homepage: https://cran.r-project.org/package=BiSEp
Description: CRAN Package 'BiSEp' (Toolkit to Identify Candidate Synthetic Lethality)
 Enables the user to infer potential synthetic lethal relationships by
 analysing relationships between bimodally distributed gene pairs in big gene
 expression datasets.  Enables the user to visualise these candidate
 synthetic lethal relationships.

Package: r-cran-bisg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wru, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-tidycensus, r-cran-tigris
Suggests: r-cran-eicompare, r-cran-eiexpand
Filename: pool/dists/focal/main/r-cran-bisg_0.1.0-1.ca2004.1_all.deb
Size: 43612
MD5sum: 6ba0c62f4eb205c0ee96c285da25bb2b
SHA1: be21e2331642dd6cdeee96a2a0b1bd9434a23385
SHA256: 03962a075528321cacef57e31a51fa73653cae3571625715271f295cd504fb27
SHA512: b51cc368c1403c8c91e8cf04655d68a2908f8799a2daeb4b74d59b050ee23f1f9138c06bfcbdeaa7ca272ee6e4679fc2cedd77a7496081a1de32b2501cc3ae54
Homepage: https://cran.r-project.org/package=bisg
Description: CRAN Package 'bisg' (Performs Bayesian Improved Surname Geocoding)
 Performs Bayesian Improved Surname Geocoding (BISG) analysis to obtain
 probabilistic estimates of race based on surname and geolocation.  This
 package can be used in tandem with the 'eiCompare' package.  Methods
 implemented in this package are described in Decter-Frain, A., Sachdeva, P.,
 Collingwood, L., Burke, J., Murayama, H., Barreto, M., … Zingher, J. (2022).
 "Comparing Methods for Estimating Demographics in Racially Polarized Voting
 Analyses" <doi:10.31235/osf.io/e854z>.

Package: r-cran-bispdep
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spdata, r-cran-sf, r-cran-spdep, r-cran-spatialreg, r-cran-combinat, r-cran-boot, r-cran-ggplot2, r-cran-sp, r-cran-rcolorbrewer
Suggests: r-cran-spam
Filename: pool/dists/focal/main/r-cran-bispdep_1.0-2-1.ca2004.1_all.deb
Size: 183664
MD5sum: e72bfd8a2c8611caac850bfede7e4f03
SHA1: e7939acd8b81ab34c5ec8e10cfb18af73b7a3ad7
SHA256: 36552fd35d998a61cb3dfad98328e76706b83963e32ce9df1efdf96fdc290385
SHA512: ef2ecd8491d4262621ca44308fb40ef013e6999a747878d0be0ecbbc9485989ee45a8b9eeb66e83ae14fa1b90b376bd35effe0ed76e6550cdd8562389dd5fb75
Homepage: https://cran.r-project.org/package=bispdep
Description: CRAN Package 'bispdep' (Statistical Tools for Bivariate Spatial Dependence Analysis)
 A collection of functions to test spatial autocorrelation between variables,
 including Moran I, Geary C and Getis G together with scatter plots,
 functions for mapping and identifying clusters and outliers, functions
 associated with the moments of the previous statistics that will allow
 testing whether there is bivariate spatial autocorrelation, and a function
 that allows identifying (visualizing neighbours) on the map, the neighbors
 of any region once the scheme of the spatial weights matrix has been
 established.

Package: r-cran-bisquerna
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-cran-limsolve
Suggests: r-cran-seurat, r-cran-plyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bisquerna_1.0.5-1.ca2004.1_all.deb
Size: 97784
MD5sum: 2ec250dd749157b634d0fc2ce23b02a4
SHA1: 875931bd6ff08f98e75a5e4a4af0d937c21bf9bc
SHA256: 09a68f65843dccd5c3cbe7b5b8a116456fade033b23dad76bd0d1b624e9ad339
SHA512: 4c8aeed28efbcf306c3855b2db9287d645ef1e1bcda68521ffcb20769a1751a4074692ff90124ea4b305dc1057aa31759d4f97d9c08ae56f2d8c299e3447d63c
Homepage: https://cran.r-project.org/package=BisqueRNA
Description: CRAN Package 'BisqueRNA' (Decomposition of Bulk Expression with Single-Cell Sequencing)
 Provides tools to accurately estimate cell type abundances from
 heterogeneous bulk expression. A reference-based method utilizes single-cell
 information to generate a signature matrix and transformation of bulk
 expression for accurate regression based estimates. A marker-based method
 utilizes known cell-specific marker genes to measure relative abundances
 across samples.  For more details, see Jew and Alvarez et al (2019)
 <doi:10.1101/669911>.

Package: r-cran-bisrna
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-bioc-ihw, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bisrna_0.2.2-1.ca2004.1_all.deb
Size: 52756
MD5sum: bd16ad1054a1e50b1f97d263f605e1a5
SHA1: 49bce0610c204d1a7b064a979ed17bca252aa501
SHA256: b92667fd7650041f4a27b25f18443edd981953f41e6394ae8a485e40c736d5ba
SHA512: 1d6fad38d8716a6b7e1819ff5f3568981889701466a95e039ee836f446a9656a6e6674d8f06f93a1657691070f9af211503bf25c202fb3320aa906fa6bf35ea7
Homepage: https://cran.r-project.org/package=BisRNA
Description: CRAN Package 'BisRNA' (Analysis of RNA Cytosine-5 Methylation)
 Bisulfite-treated RNA non-conversion in a set of samples is analysed as
 follows : each sample's non-conversion distribution is identified to a
 Poisson distribution. P-values adjusted for multiple testing are calculated
 in each sample. Combined non-conversion P-values and standard errors are
 calculated on the intersection of the set of samples. For further details,
 see C Legrand, F Tuorto, M Hartmann, R Liebers, D Jakob, M Helm and F Lyko
 (2017) <doi:10.1101/gr.210666.116>.

Package: r-cran-bite
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-mass, r-cran-phytools, r-cran-coda, r-cran-sm, r-cran-vioplot, r-cran-xml2
Suggests: r-cran-mvmorph
Filename: pool/dists/focal/main/r-cran-bite_0.3-1.ca2004.1_all.deb
Size: 362308
MD5sum: d78d730f79a84e42aee1b747c889af9d
SHA1: 117dd4130f0a172be1b9dbe3ac237ff96693ec64
SHA256: d6e2fc2b37878c2868dd62d95a1a278bd7d66229de7d822f3694eb81c5c75d68
SHA512: 81600e6e76877f665c40b1165406bdf51817ff241599a854d4fdbfaa5152d8da52ce229a4f025663c6aec5bdf85580ac63ada9725badaeac00055c1fcbdf30b3
Homepage: https://cran.r-project.org/package=bite
Description: CRAN Package 'bite' (Bayesian Integrative Models of Trait Evolution)
 Contains the JIVE (joint inter and intra-specific model of variance
 evolution) model and other Bayesian models aimed at understanding trait
 evolution. The goal of the package is to join phylogenetic comparative
 models (PCM) that tend to integrate various type of data (individual
 observations, environmental data, fossil data) into a hierarchical Bayesian
 framework. It contains various PCMs as well as functions to join those
 models into a hierarchical Bayesian framework in a flexible and user
 friendly way. It contains various Markov chain Monte-Carlo (MCMC)
 algorithms, methods for model comparison and many plotting function for pre-
 and post-processing data visualization. Finally, this package integrates
 functions allowing bridges between 'R' and the 'BEAST2' implementations of
 PCMs. Kostikova A, Silvestro D, Pearman PB, Salamin N (2016)
 <doi:10.1093/sysbio/syw010>. Gaboriau T, Mendes FK, Joly S, Silvestro D,
 Salamin N (in prep).

Package: r-cran-bitfield
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-checkmate, r-cran-codetools, r-cran-crayon, r-cran-dplyr, r-cran-gh, r-cran-gitcreds, r-cran-glue, r-cran-httr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-terra, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bitfield_0.6.1-1.ca2004.1_all.deb
Size: 281440
MD5sum: c96b69d5bde3171612f44b81f5cffcf7
SHA1: 2465a16dc949fe4ec5855212395ac632c00afd39
SHA256: bff59ddd9641dfe9876036568f0455206db8ad643160758c67344b2615c27f54
SHA512: 7241bdce20dcbdd507f8a6420784d953aaa42d79ec544ec2e1ee178ff0e68f0741920e6cdf4d4831478d13a43629ea2ffeff6eb4b735d72e95e2816dc0bd112f
Homepage: https://cran.r-project.org/package=bitfield
Description: CRAN Package 'bitfield' (Handle Bitfields to Record Meta Data)
 Record algorithmic and analytic meta data along a workflow to store that in
 a bitfield, which can be published alongside any (modelled) data products.

Package: r-cran-bitmexr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-attempt, r-cran-curl, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyquant
Filename: pool/dists/focal/main/r-cran-bitmexr_0.3.3-1.ca2004.1_all.deb
Size: 150348
MD5sum: 29da7d34f4620ecc9ffe059d30993fcb
SHA1: 9d72e5bf6ad65db55100cb4ae73466cd97948922
SHA256: 0cb871142489eabd28163c4db93fa82cf86ab4f077c30fb0a73bf45d6c34bc86
SHA512: 466e0e24a963a58e98810ecab5b449e5af87ca864ab4c752561fb61544b9a7a0196bbcd2631822e277c53bd4739322b4f3db8ebf8454a56cbb1c7225fa90e6b2
Homepage: https://cran.r-project.org/package=bitmexr
Description: CRAN Package 'bitmexr' (R Client for BitMEX)
 A client for cryptocurrency exchange BitMEX <https://www.bitmex.com/>
 including the ability to obtain historic trade data and place, edit and
 cancel orders. BitMEX's Testnet and live API are both supported.

Package: r-cran-bitsls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bitsls_0.1.0-1.ca2004.1_all.deb
Size: 13016
MD5sum: 5e4f6c81465390029c62c541b2e99088
SHA1: bae3a564303c002baceca87a0b895500734efa9c
SHA256: e854a1369ac89744fdf3a5430875e16a194b469ef035dbe2af3d4275c356d1a4
SHA512: 876368ef386cbb2393f895a1ea8ab844ccd3367309773c1a42d36b9f26e3237238fca23f89605a2c631702430405fcdcc34229c695c5ccf01f84edaa49a2cec2
Homepage: https://cran.r-project.org/package=BiTSLS
Description: CRAN Package 'BiTSLS' (Bidirectional Two-Stage Least Squares Estimation)
 Implements bidirectional two-stage least squares (Bi-TSLS) estimation for
 identifying bidirectional causal effects between two variables in the
 presence of unmeasured confounding. The method uses proxy variables
 (negative control exposure and outcome) along with at least one covariate to
 handle confounding.

Package: r-cran-bitstreamio
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bitstreamio_0.1.0-1.ca2004.1_all.deb
Size: 70480
MD5sum: 29a91ef32f5792a8762eca040c74707d
SHA1: ab65c987845f915ba3489e70e98f283b6a1c625e
SHA256: 5129a0a13bd919887771ff750c57f37b207e8742fc4bc57da789a0162a2ed43d
SHA512: 7155590f2df8f67d305e46bdb30b1f74f7baecc6fc07393a75b637488581df22f95128e042adc16b39611bf450e40705ac7841f0f113d2ad451ea29be033c54e
Homepage: https://cran.r-project.org/package=bitstreamio
Description: CRAN Package 'bitstreamio' (Read and Write Bits from Files, Connections and Raw Vectors)
 Bit-level reading and writing are necessary when dealing with many file
 formats e.g. compressed data and binary files.  Currently, R connections are
 manipulated at the byte level.  This package wraps existing connections and
 raw vectors so that it is possible to read bits, bit sequences, unaligned
 bytes and low-bit representations of integers.

Package: r-cran-bittermelon
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1097
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-png, r-cran-unicode
Suggests: r-cran-colorfast, r-cran-farver, r-cran-gridpattern, r-cran-hexfont, r-cran-knitr, r-cran-magick, r-cran-mazing, r-cran-ragg, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bittermelon_2.1.1-1.ca2004.1_all.deb
Size: 856168
MD5sum: 3053b57f73104b4fb452f64e29ba9aca
SHA1: a9d8513558af5862fe34c0193f3940ffe7f4d003
SHA256: bf24ffd6bae8e717601366b5d8a8156fa4b261eea974a53b1b0948bafb1ef0af
SHA512: dcae913ec61e12620c6e8c5717125d9e8d7cec045f0adb3c55098ce6fd735639f01d62973dd41ac86db1f510de85b3c24b523fe48291590afb4a4ef6aeeaf800
Homepage: https://cran.r-project.org/package=bittermelon
Description: CRAN Package 'bittermelon' (Bitmap Tools)
 Provides functions for creating, modifying, and displaying bitmaps including
 printing them in the terminal.  There is a special emphasis on monochrome
 bitmap fonts and their glyphs as well as colored pixel art/sprites.
 Provides native read/write support for the 'hex' and 'yaff' bitmap font
 formats and if 'monobit' <https://github.com/robhagemans/monobit> is
 installed can also read/write several additional bitmap font formats.

Package: r-cran-bivarian
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-desctools, r-cran-dplyr, r-cran-epitools, r-cran-fastdummies, r-cran-ggplot2, r-cran-ggprism, r-cran-glue, r-cran-lifecycle, r-cran-logistf, r-cran-magrittr, r-cran-rlang, r-cran-rrtable, r-cran-scales, r-cran-table1, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-riskcommunicator, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bivarian_1.0.1-1.ca2004.1_all.deb
Size: 283108
MD5sum: 3566827084c23d231945f5defa567428
SHA1: e86b728719aed6069a8a50a9f42e7e8caccc44db
SHA256: abfee13579529acb23341e2616a16d4a84952050a679ca553a7c85efad324e90
SHA512: 884732d47eae2134b9924d91b3530fc48a53e0be9db9261feebef90a980b5e015998e05ca1b04bb161e598884475c7c5e872d08137ebfcbe50722bacaed7cbad
Homepage: https://cran.r-project.org/package=BiVariAn
Description: CRAN Package 'BiVariAn' (Bivariate Automatic Analysis)
 Simplify bivariate and regression analyses by automating result generation,
 including summary tables, statistical tests, and customizable graphs. It
 supports tests for continuous and dichotomous data, as well as stepwise
 regression for linear, logistic, and Firth penalized logistic models.  While
 not a substitute for tailored analysis, 'BiVariAn' accelerates workflows and
 is expanding features like multilingual interpretations of results.The
 methods for selecting significant statistical tests, as well as the
 predictor selection in prediction functions, can be referenced in the works
 of Marc Kery (2003) <doi:10.1890/0012-9623(2003)84[92:NORDIG]2.0.CO;2> and
 Rainer Puhr (2017) <doi:10.1002/sim.7273>.

Package: r-cran-bivariate.pareto
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compound.cox
Filename: pool/dists/focal/main/r-cran-bivariate.pareto_1.0.3-1.ca2004.1_all.deb
Size: 150896
MD5sum: 347630eedb5e74674eceefcc6e4a0709
SHA1: 09e465d537c9dfc834f680ab841231b34ce5a9bf
SHA256: 9f7b930c25dd427f7fcfa8ecf5ecbf03232cef36f420c44339c806783a51cabc
SHA512: cf4a2697823b1a0b053d05f9e2cedb04c2952a48df21b358f9bdd103bbcc035e95aca45f393cf362166ba9da0beb9473a5e938163ffdac0db29ea6a093f65f63
Homepage: https://cran.r-project.org/package=Bivariate.Pareto
Description: CRAN Package 'Bivariate.Pareto' (Bivariate Pareto Models)
 Perform competing risks analysis under bivariate Pareto models. See Shih et
 al. (2019) <doi:10.1080/03610926.2018.1425450> for details.

Package: r-cran-bivariateleaflet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-leaflet, r-cran-dplyr, r-cran-htmltools, r-cran-rlang, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidycensus, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bivariateleaflet_0.1.0-1.ca2004.1_all.deb
Size: 78440
MD5sum: 991a75ca4f33f01d8b2e9a213da5cbe6
SHA1: 8e5e8ead4d3a2b5cd3348e12a9bd0da5fd09a0be
SHA256: 53b8c69bc8bbd7fd3383b63d7e3cf8e9267dc890adebcc4df09979e115dee001
SHA512: b5abd8305b88463a694623bdd3581f482dcfe9e0c6eafeccaca81aa27d123c7266fe5e885bf9e55c0089b9bddeb5f76a57dbda9ac70e47b0ff74c84bd06b7871
Homepage: https://cran.r-project.org/package=bivariateLeaflet
Description: CRAN Package 'bivariateLeaflet' (Create Bivariate Choropleth Maps with 'Leaflet')
 Creates bivariate choropleth maps using 'Leaflet'. This package provides
 tools for visualizing the relationship between two variables through a color
 matrix representation on an interactive map.

Package: r-cran-bivariatemaps
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classint, r-cran-terra, r-cran-caper, r-cran-picante, r-cran-ape, r-cran-betapart, r-cran-commecol
Filename: pool/dists/focal/main/r-cran-bivariatemaps_1.7-1.ca2004.1_all.deb
Size: 50128
MD5sum: 54015209be2dba603fd1bc99c43d9f2a
SHA1: 7b72b58b505240392ec625b1f6aac813b27a409c
SHA256: 1909674b589335941c6de9f1d346edc8b55a07f7e91ba2c773f0bfd243df1019
SHA512: 6600b0909f31e53b614d89d077fd88006edac317adcdd15cab0081488fc3690b41fee1f496a716f326224f427385abd7a2cb5073f7aa56c2d19a797908efb2b7
Homepage: https://cran.r-project.org/package=bivariatemaps
Description: CRAN Package 'bivariatemaps' (Creates Bivariate Maps)
 Contains functions mainly focused to plotting bivariate maps.

Package: r-cran-bivarp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dfoptim, r-cran-survival, r-cran-copula
Filename: pool/dists/focal/main/r-cran-bivarp_1.0-1.ca2004.1_all.deb
Size: 58108
MD5sum: 8083cf6b9aa88b1e8e2bfa8c90032965
SHA1: 7a2ed34f069c4e0526c0e4d9b0669795997cadad
SHA256: 540e5a72c811e9b0439bfe8a163304a4e3d726e2126544fb0ee0c9d9effc421b
SHA512: 3c85141226e3cecf9de92914c0b829cdae844ea305a0b021a86581b245dd53b0d701060e732ddf91842417c43f5e0d6e7c589c6fa3d9d21e599259056805521c
Homepage: https://cran.r-project.org/package=BivarP
Description: CRAN Package 'BivarP' (Estimating the Parameters of Some Bivariate Distributions)
 Parameter estimation of bivariate distribution functions modeled as a
 Archimedean copula function. The input data may contain values from right
 censored. Used marginal distributions are two-parameter.  Methods for
 density, distribution, survival, random sample generation.

Package: r-cran-bivgeo
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bivgeo_2.1.1-1.ca2004.1_all.deb
Size: 49832
MD5sum: 5afa6de2eaa81eb96d8224d510112fed
SHA1: 67970ad917a14e960fe976bc8785cf7555ddad91
SHA256: c24c30d9d156527d777cff6ec896555a6dbec52d910375e129acba4f42857d78
SHA512: 38c12e68a749b75faaa1ac3e3cce3c932379195726687c283b90faa04c112b41a0bc42ea0ba392798ed47a7d01da8e34c636baf1240f217a633f3dcc70b0dfdc
Homepage: https://cran.r-project.org/package=BivGeo
Description: CRAN Package 'BivGeo' (Basu-Dhar Bivariate Geometric Distribution)
 Provides functions to compute the joint probability mass function (pmf),
 cumulative distribution function (cdf), and survival function (sf) of the
 Basu-Dhar bivariate geometric distribution. Additional functionalities
 include the calculation of the correlation coefficient, covariance, and
 cross-factorial moments, as well as the generation of random variates. The
 package also implements parameter estimation based on the method of moments.

Package: r-cran-bivgeom
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmle, r-cran-copula
Filename: pool/dists/focal/main/r-cran-bivgeom_1.0-1.ca2004.1_all.deb
Size: 67864
MD5sum: f1c82c6f6dd815f5e8877c1d9e0a3d28
SHA1: 62bfd505e1bead5931a76b14642bcf3ac36dd041
SHA256: 62caa7a5f21d8a96ff98f4b75a3be7faa27fc0366b94f368dd79271a5bebd9ec
SHA512: f8137c26693bd27baaaf23ad6195e70e96db99b03ed78796e3738129f8c3b69f5cbc11e01c8ce3305bf5b4e6cc3c7e50005903456c4705e093ec759c81676770
Homepage: https://cran.r-project.org/package=bivgeom
Description: CRAN Package 'bivgeom' (Roy's Bivariate Geometric Distribution)
 Implements Roy's bivariate geometric model (Roy (1993)
 <doi:10.1006/jmva.1993.1065>): joint probability mass function, distribution
 function, survival function, random generation, parameter estimation, and
 more.

Package: r-cran-bivpois
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Suggests: r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-bivpois_1.1-1.ca2004.1_all.deb
Size: 55812
MD5sum: 5b65f8418f936c86196cde5b00ef4078
SHA1: 51a13da93da9dffec3a971e44fd999da15d2063f
SHA256: bf4a5e587d86b33c1b8b8a80983835898339a970c08ba5dc05a08f156e56f80f
SHA512: 236dd74132b0ee36c097480b4935c4457e6a7b71b14607cb89d4744d8ca82020979fa585ffb58b1d334863ad7fe2be728dded1d108bad17301f68975cf7672be
Homepage: https://cran.r-project.org/package=bivpois
Description: CRAN Package 'bivpois' (Bivariate Poisson Distribution)
 Maximum likelihood estimation, random values generation, density computation
 and other functions for the bivariate Poisson distribution. References
 include: Kawamura K. (1984). "Direct calculation of maximum likelihood
 estimator for the bivariate Poisson distribution". Kodai Mathematical
 Journal, 7(2): 211--221. <doi:10.2996/kmj/1138036908>. Kocherlakota S. and
 Kocherlakota K. (1992). "Bivariate discrete distributions". CRC Press.
 <doi:10.1201/9781315138480>. Karlis D. and Ntzoufras I. (2003). "Analysis of
 sports data by using bivariate Poisson models". Journal of the Royal
 Statistical Society: Series D (The Statistician), 52(3): 381--393.
 <doi:10.1111/1467-9884.00366>.

Package: r-cran-bivregbls
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-bivregbls_1.1.1-1.ca2004.1_all.deb
Size: 353076
MD5sum: d56070ef9de474fee357594c61e104b4
SHA1: 19b33c9c497e4554072594030771cd4c0a8340b6
SHA256: c277b43199573b6d25f355fc0ba3a47a8836cc81791af1aea9a25f325bbfae12
SHA512: e414b4e21e77971f3a033c57f6a3dc0f47cf2408d511508f40423a55c626dceb4f6dac4829d18013c2523ccacb48f90c07351cd917c4b554770c9a17483668e5
Homepage: https://cran.r-project.org/package=BivRegBLS
Description: CRAN Package 'BivRegBLS' (Tolerance Interval and EIV Regression - Method ComparisonStudies)
 Assess the agreement in method comparison studies by tolerance intervals and
 errors-in-variables (EIV) regressions. The Ordinary Least Square regressions
 (OLSv and OLSh), the Deming Regression (DR), and the (Correlated)-Bivariate
 Least Square regressions (BLS and CBLS) can be used with unreplicated or
 replicated data. The BLS() and CBLS() are the two main functions to estimate
 a regression line, while XY.plot() and MD.plot() are the two main graphical
 functions to display, respectively an (X,Y) plot or (M,D) plot with the BLS
 or CBLS results. Four hyperbolic statistical intervals are provided: the
 Confidence Interval (CI), the Confidence Bands (CB), the Prediction Interval
 and the Generalized prediction Interval. Assuming no proportional bias, the
 (M,D) plot (Band-Altman plot) may be simplified by calculating univariate
 tolerance intervals (beta-expectation (type I) or beta-gamma content (type
 II)). Major updates from last version 1.0.0 are: title shortened, include
 the new functions BLS.fit() and CBLS.fit() as shortcut of the, respectively,
 functions BLS() and CBLS(). References: B.G. Francq, B. Govaerts (2016)
 <doi:10.1002/sim.6872>, B.G. Francq, B. Govaerts (2014)
 <doi:10.1016/j.chemolab.2014.03.006>, B.G. Francq, B. Govaerts (2014)
 <http://publications-sfds.fr/index.php/J-SFdS/article/view/262>, B.G. Francq
 (2013), PhD Thesis, UCLouvain, Errors-in-variables regressions to assess
 equivalence in method comparison studies,
 <https://dial.uclouvain.be/pr/boreal/object/boreal%3A135862/datastream/PDF_01/view>.

Package: r-cran-bivrp
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-mvtnorm, r-cran-mrfdepth
Filename: pool/dists/focal/main/r-cran-bivrp_1.2-2-1.ca2004.1_all.deb
Size: 63472
MD5sum: a595020382d73d65e4819a3eb24d019a
SHA1: c560e9becef40b116c946dbd6b92c2e9c46e4f4d
SHA256: d710c0672986bdae81d2e6b12df522187ecef85c32cef69626057dc83d615414
SHA512: 5af56c6a24fd990aa1018d66c999527303ea946f2afbbea03f31b8de70b694bcd9814c54d86fa004d9567e1391376f120b6c50c14e7f4d8909c8207b38280461
Homepage: https://cran.r-project.org/package=bivrp
Description: CRAN Package 'bivrp' (Bivariate Residual Plots with Simulation Polygons)
 Generates bivariate residual plots with simulation polygons for any
 diagnostics and bivariate model from which functions to extract the desired
 diagnostics, simulate new data and refit the models are available.

Package: r-cran-bivunifbin
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-binordnonnor, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-bivunifbin_1.3.3-1.ca2004.1_all.deb
Size: 28736
MD5sum: d5c89b241c65052b96a55c99ec72cd2d
SHA1: fc7a727347f9921401607045933f786cb4409234
SHA256: 2f441093a3ef6fbef868cd15c237c841d78f05291d98cc67ac6e2b43f09d7e9d
SHA512: 870f160d9c94a4887bbafd863e210deac1bc784a1b243c0033ba79943d731b43cbe1b4d72cdb794b55361a398a2969b40a6601b661e49b41a7653965a38bdad9
Homepage: https://cran.r-project.org/package=BivUnifBin
Description: CRAN Package 'BivUnifBin' (Generation of Bivariate Uniform Data and Its Relation toBivariate Binary Data)
 Simulation of bivariate uniform data with a full range of correlations based
 on two beta densities and computation of the tetrachoric correlation
 (correlation of bivariate uniform data) from the phi coefficient
 (correlation of bivariate binary data) and vice versa.

Package: r-cran-biwt
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-robustbase, r-cran-mass
Filename: pool/dists/focal/main/r-cran-biwt_1.0.1-1.ca2004.1_all.deb
Size: 40640
MD5sum: f16d7801985e828fe552765df98cacc1
SHA1: 0e578e3dd50c395c09e1e960d9c53ccf20aa05b8
SHA256: 88c7935aaa5c630110d3e856024a101a5d90f40353782c632701b357f0f97984
SHA512: 2732e54a4fdbcde4b23a176b293a8b10d5333c119fa86668811262a8d6162f5da734f912c966ec844289940b2c9a1a8e7455dd05b6bd1402a84f6645863bbaa9
Homepage: https://cran.r-project.org/package=biwt
Description: CRAN Package 'biwt' (Compute the Biweight Mean Vector and Covariance & CorrelationMatrice)
 Compute multivariate location, scale, and correlation estimates based on
 Tukey's biweight M-estimator.

Package: r-cran-bizdays
Architecture: all
Version: 1.0.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-rquantlib, r-cran-timedate, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bizdays_1.0.17-1.ca2004.1_all.deb
Size: 223600
MD5sum: ef04d8dcf0ad964e3d2b4f1b99bafc43
SHA1: fab24eddc246cdd58e534de1ba8cf40c444d4a28
SHA256: 09cbdafc0aa32f43e1302443a878d329cc42dc6ca797b60c6cf726a2aab93ce0
SHA512: 26bf1ddc7efd86b433d04fd7354bfa4d29d3d496bfacf4f5b3a7e5503c99e63c9e432b4c084905d272964dcd7b8d819f6a4ff240b2985e1bd78fbe5eb26414f5
Homepage: https://cran.r-project.org/package=bizdays
Description: CRAN Package 'bizdays' (Business Days Calculations and Utilities)
 Business days calculations based on a list of holidays and nonworking
 weekdays. Quite useful for fixed income and derivatives pricing.

Package: r-cran-bizicount
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbivnorm, r-cran-formula, r-cran-rlang, r-cran-mass, r-cran-numderiv, r-cran-dharma, r-cran-texreg
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bizicount_1.3.3-1.ca2004.1_all.deb
Size: 524432
MD5sum: 8f729a2446d437cbbf52a80dbb91b9dd
SHA1: 6e5ddfdfafd8e04b9d6ecc515daed70f5e2fc8c4
SHA256: 25ab06d4b8d5a728c7cb25c3f2854b62d922a89c95cbdf47a5b2dc1d79734514
SHA512: 6764bac4cecd8fd4f6d5ab49f506aad15fadd6ba522fd3a8ff595a5a66387e5f9caa8eeb3d3c09381dc775a2efb36cd0a9fb05e344de832a2bcb79c016d7eee1
Homepage: https://cran.r-project.org/package=bizicount
Description: CRAN Package 'bizicount' (Bivariate Zero-Inflated Count Models Using Copulas)
 Maximum likelihood estimation of copula-based zero-inflated (and
 non-inflated) Poisson and negative binomial count models, based on the
 article <doi:10.18637/jss.v109.i01>. Supports Frank and Gaussian copulas.
 Allows for mixed margins (e.g., one margin Poisson, the other zero-inflated
 negative binomial), and several marginal link functions. Built-in methods
 for publication-quality tables using 'texreg', post-estimation diagnostics
 using 'DHARMa', and testing for marginal zero-modification via
 <doi:10.1177/0962280217749991>.  For information on copula regression for
 count data, see Genest and Nešlehová (2007) <doi:10.1017/S0515036100014963>
 as well as Nikoloulopoulos (2013) <doi:10.1007/978-3-642-35407-6_11>.  For
 information on zero-inflated count regression generally, see Lambert (1992)
 <https://www.jstor.org/stable/1269547?origin=crossref>. The author
 acknowledges support by NSF DMS-1925119 and DMS-212324.

Package: r-cran-bjscraper
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-glue, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-bjscraper_0.1.0-1.ca2004.1_all.deb
Size: 272892
MD5sum: e92385414a73168f59919b2d44cae7c9
SHA1: dd212f26e04dfc72457e16571c454890a95e2422
SHA256: c7b8494c17159f22cf2a9a8208c927370dcb79789a16dfc7bb1e1601e9b00d10
SHA512: edfb10bc8217ed40292e5853d8dcdf9f08526a1c0a869ad2a1c57bf0435d12244792f1f257bf8b94ecaf52fcc5af22224d3c10de309516257b805ec18b340133
Homepage: https://cran.r-project.org/package=bjscrapeR
Description: CRAN Package 'bjscrapeR' (An API Wrapper for the Bureau of Justice Statistics (BJS))
 Drawing heavy influence from 'blscrapeR', this package scrapes crime data
 from <https://www.bjs.gov/>. Specifically, it scrapes data from the National
 Crime Victimization Survey which tracks personal and household crime in the
 USA. The idea is to utilize the 'tidyverse' methodology to create an
 efficient work flow when dealing with crime statistics.

Package: r-cran-bkmr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-nlme, r-cran-fields, r-cran-truncnorm, r-cran-tidyr, r-cran-mass, r-cran-tmvtnorm, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-bkmr_0.2.2-1.ca2004.1_all.deb
Size: 216080
MD5sum: 96bbafe62fa219bc7152821b6693e2cd
SHA1: a0102b3c5d8c4bc80413570f4be4018c8759af6b
SHA256: 3207e4786996528a69ffdb0b57b663d432ee6e20281ec828d770ade9bddb4179
SHA512: b54bb6449b1acbb7a5a2c12a6f9abc91c3416ad3d9fff1772d7ed5c1e67fdc22146271f1f43cee802f1ee913cfe38b2b6377bf4f39b3a8e6696cb98b629fe86f
Homepage: https://cran.r-project.org/package=bkmr
Description: CRAN Package 'bkmr' (Bayesian Kernel Machine Regression)
 Implementation of a statistical approach for estimating the joint health
 effects of multiple concurrent exposures, as described in Bobb et al (2015)
 <doi:10.1093/biostatistics/kxu058>.

Package: r-cran-bkmrhat
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-bkmr, r-cran-data.table, r-cran-future, r-cran-rstan
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-bkmrhat_1.1.3-1.ca2004.1_all.deb
Size: 1517256
MD5sum: 276727df6bea68f8517a8def7a64f6e8
SHA1: 4ce5a04851d070e186d748c1d50009e63972d00a
SHA256: 1f33af3c24d989dd183e9d91bb82a517d8f7ecffdad1cf03b4677deeee0a7313
SHA512: 708132bc1f16a2fbc2f55dd1489e9f8d824a3b73623c9e70876c5f577ebd4b57c36b61d3ac0f567bfb5a2b9d2700cf5522559d099a3d93d273c3388e00f4876d
Homepage: https://cran.r-project.org/package=bkmrhat
Description: CRAN Package 'bkmrhat' (Parallel Chain Tools for Bayesian Kernel Machine Regression)
 Bayesian kernel machine regression (from the 'bkmr' package) is a Bayesian
 semi-parametric generalized linear model approach under identity and probit
 links. There are a number of functions in this package that extend Bayesian
 kernel machine regression fits to allow multiple-chain inference and
 diagnostics, which leverage functions from the 'future', 'rstan', and 'coda'
 packages.  Reference: Bobb, J.  F., Henn, B. C., Valeri, L., & Coull, B. A.
 (2018). Statistical software for analyzing the health effects of multiple
 concurrent exposures via Bayesian kernel machine regression. ;
 <doi:10.1186/s12940-018-0413-y>.

Package: r-cran-bkt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bkt_0.1.0-1.ca2004.1_all.deb
Size: 190068
MD5sum: eede3b6d489e6ac8c5ef6c926bf0308a
SHA1: 05d93072cfe029c4e669200cf2c48d9ee4c4007a
SHA256: ce2e12303385699b44f071b45f4549b61d69158ceab872345b9eb6f561ccc258
SHA512: d1f4a0ee14984002d8611958d1db612e33253f8b79679f384ce72f647676c4d960954078c79980a370cdd68aa52215a7e283104072db9d605d4a25946f56f01e
Homepage: https://cran.r-project.org/package=BKT
Description: CRAN Package 'BKT' (Bayesian Knowledge Tracing Model)
 Fitting, cross-validating, and predicting with Bayesian Knowledge Tracing
 (BKT) models. It is designed for analyzing educational datasets to trace
 student knowledge over time. The package includes functions for fitting BKT
 models, evaluating their performance using various metrics, and making
 predictions on new data. It provides the similar functionality as the Python
 package pyBKT authored by Zachary A. Pardos (zp@berkeley.edu) at
 <https://github.com/CAHLR/pyBKT>.

Package: r-cran-bktr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1698
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-torch, r-cran-r6, r-cran-r6p, r-cran-ggplot2, r-cran-ggmap, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-bktr_0.2.0-1.ca2004.1_all.deb
Size: 1485776
MD5sum: 06e071c9e01bed82ce181d2b12713080
SHA1: f470a5f05d490438eed38f68ae5511ae3131da6d
SHA256: e7dc01222a46cd95d4744054f556eb54fdeb41ace26f89b7cfef483f4757bd50
SHA512: 0c308e4d2692182f3effb4809d1eeb240868b52910b096599fc50ec34ca58d88523becba3183b4a9821d1edd1c15aaf9ea022ab8ea3c144b7902eb27d532409d
Homepage: https://cran.r-project.org/package=BKTR
Description: CRAN Package 'BKTR' (Bayesian Kernelized Tensor Regression)
 Facilitates scalable spatiotemporally varying coefficient modelling with
 Bayesian kernelized tensor regression.  The important features of this
 package are: (a) Enabling local temporal and spatial modeling of the
 relationship between the response variable and covariates.  (b) Implementing
 the model described by Lei et al. (2023) <doi:10.48550/arXiv.2109.00046>.
 (c) Using a Bayesian Markov Chain Monte Carlo (MCMC) algorithm to sample
 from the posterior distribution of the model parameters.  (d) Employing a
 tensor decomposition to reduce the number of estimated parameters.  (e)
 Accelerating tensor operations and enabling graphics processing unit (GPU)
 acceleration with the 'torch' package.

Package: r-cran-bla
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-mass, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bla_1.0.1-1.ca2004.1_all.deb
Size: 560732
MD5sum: 57b1e22bafc43ae45a9078e905e626e5
SHA1: cd94fc3702199d2e0213fb1eb43d1e4b8068b644
SHA256: cb66db35489ac379006078a4008be3801a8a5a589836215151d155fa0c28289e
SHA512: fb72501ca54a53f2fed8205070b210bbdfbf767e51e261261db0327195da4bcf9788260b746e7848bc30d97ef49da8712b38601d4bfe13655d3e4a7c03e76fa2
Homepage: https://cran.r-project.org/package=BLA
Description: CRAN Package 'BLA' (Boundary Line Analysis)
 Fits boundary line models to datasets as proposed by Webb (1972)
 <doi:10.1080/00221589.1972.11514472> and makes statistical inferences about
 their parameters. Provides additional tools for testing datasets for
 evidence of boundary presence and selecting initial starting values for
 model optimization prior to fitting the boundary line models. It also
 includes tools for conducting post-hoc analyses such as predicting boundary
 values and identifying the most limiting factor (Miti, Milne, Giller, Lark
 (2024) <doi:10.1016/j.fcr.2024.109365>). This ensures a comprehensive
 analysis for datasets that exhibit upper boundary structures.

Package: r-cran-blackcarbon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blackcarbon_0.1.0-1.ca2004.1_all.deb
Size: 293776
MD5sum: 78bbbd2f646099e0cadf2162def945d0
SHA1: c9b88cbf7673b2de9965af88a00c942e63009ed1
SHA256: d16ece20e0000b2e21c0ae06ca3bf0cf12e5da9e38ed239db2aeebdf3dfb8501
SHA512: 934196c47e5759363a0c06021c7093d20513293745c8c8da65e67788cc7c984948c6fa2fdd58c0ce21e4eba9c0a222a5ff5fbcbf180f017a9246eb794c9293ed
Homepage: https://cran.r-project.org/package=BlackCarbon
Description: CRAN Package 'BlackCarbon' (Processing Raw Black Carbon Concentration)
 The functions in this package are designed to be used in the processing of
 black carbon concentration collected by a specific type of a personal
 monitor. The package includes functions for processing of the data by
 applying Optimized noise reduction averaging algorithm along with filter
 loading correction and with an option of filter change adjustment.

Package: r-cran-blackmarbler
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-purrr, r-cran-lubridate, r-cran-tidyr, r-cran-terra, r-cran-sf, r-cran-exactextractr, r-cran-stringr, r-cran-httr2
Suggests: r-cran-geodata, r-cran-ggplot2, r-cran-knitr, r-cran-tidyterra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blackmarbler_0.2.4-1.ca2004.1_all.deb
Size: 896428
MD5sum: 5cde4777046ba706007c91dfd6ca4473
SHA1: 25abc68752dd8d3a3c8a3888a41949788393fa7f
SHA256: 2991e7fb07312f8d77f4b02eda1f61c68c33960d6a2cce9a8c6e1417169096e0
SHA512: 4a839fe25645e1eb1bdaf56aa4dfbce509ee079dc82c549d20e8a9e897d4e047a4dbb26be635ced9b7de2cfdd6eb6670286639ed62c7c43b58dcea5d9b33fe0a
Homepage: https://cran.r-project.org/package=blackmarbler
Description: CRAN Package 'blackmarbler' (Black Marble Data and Statistics)
 Geographically referenced data and statistics of nighttime lights from NASA
 Black Marble <https://blackmarble.gsfc.nasa.gov/>.

Package: r-cran-blaise
Architecture: all
Version: 1.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-laf, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-blaise_1.3.11-1.ca2004.1_all.deb
Size: 256492
MD5sum: 12e750130f34e275746aba6bcc06535f
SHA1: 55584e0bc01296496d139b351d1d0f75c65c2abd
SHA256: fb8fd6d0a4247f966da137c5cd2fc937aa3d6e82268fec4d546309d96c3384ba
SHA512: a0f7e356648f5a7f7b162fdf57f2f7fe2932f1005cb76cd4daa5b8a56e4f635b45d565e9bab93d615c12ce717015ad2550b7db9c836fdd339a7b436cf0a16900
Homepage: https://cran.r-project.org/package=blaise
Description: CRAN Package 'blaise' (Read and Write FWF Files in the 'Blaise' Format)
 Can be used to read and write a fwf with an accompanying 'Blaise' datamodel.
 Blaise is the software suite built by Statistics Netherlands (CBS). It is
 essentially a way to write and collect surveys and perform statistical
 analysis on the data. It stores its data in fixed width format with an
 accompanying metadata file, this is the Blaise format. The package
 automatically interprets this metadata and reads the file into an R
 dataframe.  When supplying a datamodel for writing, the dataframe will be
 automatically converted to that format and checked for compatibility.
 Supports dataframes, tibbles and LaF objects.  For more information about
 'Blaise', see <https://blaise.com/products/general-information>.

Package: r-cran-blakerci
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blakerci_1.0-6-1.ca2004.1_all.deb
Size: 71760
MD5sum: 1620794d94d65b6d1fc365485a1e9e6a
SHA1: e2a270fed69f72adb4670ebb1bc6900423674d02
SHA256: 2bd767c989291979d57c6cf07fc02023d7757bfb1c8b418644682c2dd0b90246
SHA512: 6540582090dc2786899b4fbca9d1ca980f7ee68bf7d28bfffd05c25c704eb1ddccb4805ab75a8853c7ab1a3d57569dfcb83f834a55ed9a409f3286992404d369
Homepage: https://cran.r-project.org/package=BlakerCI
Description: CRAN Package 'BlakerCI' (Blaker's Binomial and Poisson Confidence Limits)
 Fast and accurate calculation of Blaker's binomial and Poisson confidence
 limits (and some related stuff).

Package: r-cran-blandaltmanleh
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1095
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-ggextra
Filename: pool/dists/focal/main/r-cran-blandaltmanleh_0.3.1-1.ca2004.1_all.deb
Size: 350820
MD5sum: 88bb6e7a45a7436280688780dec55aeb
SHA1: f2e6c5cb9919d93ca8ed5968b19ce6eb80f88fd5
SHA256: 98501981ee95a56a7c80e85388d81b6c8f9e25d0e38c87e0bcaabeb10467d520
SHA512: 635cd411b3bdfd630ac3a678edb8966ecb8590af4cd40ed6d9048ea89be9ff085693eebc2645b671c1f969501f48f3c8c4fb4d0327f5b52671b5605744ddecde
Homepage: https://cran.r-project.org/package=BlandAltmanLeh
Description: CRAN Package 'BlandAltmanLeh' (Plots (Slightly Extended) Bland-Altman Plots)
 Bland-Altman Plots using either base graphics or ggplot2, augmented with
 confidence intervals, with detailed return values and a sunflowerplot option
 for data with ties.

Package: r-cran-blandr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-ggplot2, r-cran-knitr, r-cran-stringr, r-cran-jmvcore, r-cran-markdown, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blandr_0.6.0-1.ca2004.1_all.deb
Size: 703816
MD5sum: 33b0e80ae222a05545b04604554c8e9f
SHA1: c76226d263a22280844cbe23af447ed86a75cc81
SHA256: e1aaebcee66872d8fcd8d540c23736519f7dfc2bec92b73fcfec75cf528fcd6a
SHA512: 054942643c7c97a644b61415743aff6536b402360b76e2918b82a2b119c0b3042d0b92c6b354464adce0c2176adb45613d6156cce49d7637e0b5c00d0779d914
Homepage: https://cran.r-project.org/package=blandr
Description: CRAN Package 'blandr' (Bland-Altman Method Comparison)
 Carries out Bland Altman analyses (also known as a Tukey mean-difference
 plot) as described by JM Bland and DG Altman in 1986
 <doi:10.1016/S0140-6736(86)90837-8>. This package was created in 2015 as
 existing Bland-Altman analysis functions did not calculate confidence
 intervals. This package was created to rectify this, and create reproducible
 plots. This package is also available as a module for the 'jamovi'
 statistical spreadsheet (see <https://www.jamovi.org> for more information).

Package: r-cran-blanketstatsments
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-basecamb, r-cran-survival, r-cran-survauc, r-cran-desctools, r-cran-hmisc, r-cran-assertive.types
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blanketstatsments_0.1.2-1.ca2004.1_all.deb
Size: 47172
MD5sum: 5b2da471049dcf730cb373a17c6a14d2
SHA1: 239729e0ece26d865357785f109d2053c2e5ff7d
SHA256: c076a5d9a62d41b792eda5880753446e9a69a12016502a3cd3097dfb65d0b87b
SHA512: cf38f8ddbba2c32860d66e0d9b68ea38c0edc40f6fe0de6efde6a155fcd8962ac28914602735d4411c741e87ebae45e66443f923689eef946b0386a88f7ba8a6
Homepage: https://cran.r-project.org/package=BlanketStatsments
Description: CRAN Package 'BlanketStatsments' (Build and Compare Statistical Models)
 Build and compare nested statistical models with sets of equal and different
 independent variables. An analysis using this package is Marquardt et al.
 (2021) <https://github.com/p-mq/Percentile_based_averaging>.

Package: r-cran-blapsr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-coda, r-cran-mass, r-cran-matrix, r-cran-rspectra, r-cran-sn
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blapsr_0.6.1-1.ca2004.1_all.deb
Size: 428656
MD5sum: e6c9559af73128b4088b44cce2667528
SHA1: 8f66a3724c9edea864e6ea1d6e2f65f44b2b4101
SHA256: cd2ee4717bda5f4f69b360469bcd108007657a8a3e0e6e2932bc0d9bc05366c6
SHA512: d63d623c6dcb5bcc20d202df6e6df0be42aa96afa5c239423c04c3a5ac4a1c9f1168388ea7929d1931c6541a6077e94725b7a9f37a9f3365f33caf24a496b795
Homepage: https://cran.r-project.org/package=blapsr
Description: CRAN Package 'blapsr' (Bayesian Inference with Laplace Approximations and P-Splines)
 Laplace approximations and penalized B-splines are combined for fast
 Bayesian inference in latent Gaussian models. The routines can be used to
 fit survival models, especially proportional hazards and promotion time cure
 models (Gressani, O. and Lambert, P. (2018)
 <doi:10.1016/j.csda.2018.02.007>). The Laplace-P-spline methodology can also
 be implemented for inference in (generalized) additive models (Gressani, O.
 and Lambert, P. (2021) <doi:10.1016/j.csda.2020.107088>).  See the
 associated website for more information and examples.

Package: r-cran-blastula
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1349
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-commonmark, r-cran-curl, r-cran-digest, r-cran-dplyr, r-cran-fs, r-cran-getpass, r-cran-here, r-cran-htmltools, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-mime, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-uuid
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-glue, r-cran-testthat, r-cran-keyring, r-cran-knitr, r-cran-xml2, r-cran-openxlsx, r-cran-withr
Filename: pool/dists/focal/main/r-cran-blastula_0.3.6-1.ca2004.1_all.deb
Size: 1237476
MD5sum: 8da0380b1205e044a802b47eff2e910b
SHA1: e29a1b49502a2437920c4de33b1d7480daccf8f0
SHA256: 979863efd9a6f7c7d6e82564ae738d625a610873a0f86e295141e0f741859eeb
SHA512: ea773900cf4b69ab677eeb33cfa13618e391e4035b7459ac0b43b2df979e142a199ed109c4d4d52f631434767dfd1783d1d2f0389ce8635be5dcdf293e806081
Homepage: https://cran.r-project.org/package=blastula
Description: CRAN Package 'blastula' (Easily Send HTML Email Messages)
 Compose and send out responsive HTML email messages that render perfectly
 across a range of email clients and device sizes. Helper functions let the
 user insert embedded images, web link buttons, and 'ggplot2' plot objects
 into the message body. Messages can be sent through an 'SMTP' server,
 through the 'Posit Connect' service, or through the 'Mailgun' API service
 <https://www.mailgun.com/>.

Package: r-cran-blaunet
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1183
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-digest, r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-plot3d, r-cran-plot3drgl, r-cran-rgl, r-cran-network, r-cran-sna, r-cran-ergm, r-cran-statnet.common, r-cran-haven, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-blaunet_2.2.1-1.ca2004.1_all.deb
Size: 847540
MD5sum: 1bd22d81dab01eddb056988e2138e01f
SHA1: 648cd8adbb8f53dfb35408e54b63fe776e82541b
SHA256: 05562f91695b5fb097d55e837454baf9cd65440d293fd271f5396e7d45694656
SHA512: 52f7cd32886b07fbd5011c00076f0c2ec7c6e8135a170bd94a64165b2cc41807126d0f48922f1277d125d954351648c2fa2f42fc107cf30fa359d8d407f1df71
Homepage: https://cran.r-project.org/package=Blaunet
Description: CRAN Package 'Blaunet' (Calculate and Analyze Blau Statuses for Measuring SocialDistance)
 Calculate and analyze Blau statuses for quantifying social distance between
 individuals belonging to organizations. Relational (network) data can be
 incorporated for additional analyses. This project is supported by Defense
 Threat Reduction Agency (DTRA) Grant HDTRA-10-1-0043.

Package: r-cran-blcop
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1096
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-quadprog, r-cran-runit, r-cran-timeseries, r-cran-fbasics, r-cran-fmultivar, r-cran-fportfolio, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-sn, r-cran-corpcor, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-blcop_0.3.3-1.ca2004.1_all.deb
Size: 827396
MD5sum: 54b667287bf4eece18032d54786048fe
SHA1: c3e79c210ee4b3661889bb7143d146e9c5567125
SHA256: 25d0d3591271f4db07f34a86ace331d96b4c6bde5a5c07d984cd7f9c840ae0cb
SHA512: 7ccaa77c427dfd0296adcc5b20e7c5feb476c5da11466a383e0b0875222f2bff1074dd704a22edf282d54fc1527b6fdf6fd9d322a1bcb13524f34820169d5852
Homepage: https://cran.r-project.org/package=BLCOP
Description: CRAN Package 'BLCOP' (Black-Litterman and Copula Opinion Pooling Frameworks)
 An implementation of the Black-Litterman Model and Attilio Meucci's copula
 opinion pooling framework as described in Meucci, Attilio (2005)
 <doi:10.2139/ssrn.848407>, Meucci, Attilio (2006) <doi:10.2139/ssrn.872577>
 and Meucci, Attilio (2008) <doi:10.2139/ssrn.1117574>.

Package: r-cran-blendedlink
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blendedlink_1.0-1.ca2004.1_all.deb
Size: 112436
MD5sum: 0272b2d7d8078d373fe0d2b3d9d0c20e
SHA1: b16d5c986602fce9dac20c8010a9cee9cedadf52
SHA256: 6638130657b96325f1a7061e30b52e8d98825a607fe9cbc55ef5b9cee252b39f
SHA512: 85ff2d332d55a9b26d36b17e2958d5d7aaa12348db69a112d2a2b2ad801fb218b6ff6c7e8e277717338be5f3eb0e3b9094f015729397da4650bf6f943c755c02
Homepage: https://cran.r-project.org/package=blendedLink
Description: CRAN Package 'blendedLink' (A New Link Function that Blends Two Specified Link Functions)
 A new link function that equals one specified link function up to a cutover
 then a linear rescaling of another specified link function. For use in glm()
 or glm2(). The intended use is in binary regression, in which case the first
 link should be set to "log" and the second to "logit". This ensures that
 fitted probabilities are between 0 and 1 and that exponentiated coefficients
 can be interpreted as relative risks for probabilities up to the cutoff.

Package: r-cran-blender
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1374
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-blender_0.1.2-1.ca2004.1_all.deb
Size: 1373136
MD5sum: ab7afddbeb3ac46ff22136f007706609
SHA1: ffe20fed0c67f84ee2f7ed9a0f74e2641adc01ff
SHA256: 3a9c6181d8fb59ffbb384be8db47164df45d447273b5d2155d6a72f079e8389b
SHA512: 448575d390bbd22132b3e7eeae845d3b43710b554b86e5f8caa16e96266e01e57174148a7809d7027d4dfe5ae03925cb398ddf74e713fde5fd149b56a0b52237
Homepage: https://cran.r-project.org/package=blender
Description: CRAN Package 'blender' (Analyze biotic homogenization of landscapes)
 Tools for assessing exotic species' contributions to landscape homogeneity
 using average pairwise Jaccard similarity and an analytical approximation
 derived in Harris et al. (2011, "Occupancy is nine-tenths of the law," The
 American Naturalist). Also includes a randomization method for assessing
 sources of model error.

Package: r-cran-blendstat
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-blendstat_1.0.5-1.ca2004.1_all.deb
Size: 36148
MD5sum: 9bdb7268186a69d2856b81f0c8b6835b
SHA1: 86834e3c6fc5ec32957c4c0096cf7309e4dd95a6
SHA256: 0228befefb5f480c97354700e2a8012d330b3a9b84877feb6debce77c65defc9
SHA512: 3934ce9a5a52c382b6b738853fd466d122b65b00d1ef86ed4966ab594c0f4d76e32d1ffdb28ff4844254341c2389b6eef9390a08bcb6c685bb0f5d6c82207cab
Homepage: https://cran.r-project.org/package=Blendstat
Description: CRAN Package 'Blendstat' (Joint Analysis of Experiments with Mixtures and Random Effects)
 Performs a joint analysis of experiments with mixtures and random effects,
 taking on a process variable represented by a covariable.

Package: r-cran-blin
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-mass, r-cran-abind, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-knitcitations
Filename: pool/dists/focal/main/r-cran-blin_0.0.1-1.ca2004.1_all.deb
Size: 178956
MD5sum: 8ad13d4c92b9ec773a023c41ccc0af0a
SHA1: 0f4ca12ad2a9ab5df867aa2ecfa398dee3634c21
SHA256: d160e21353251cd26bd522639bcef47f19b456d8839b44c6635873ff24e28973
SHA512: 711d233421ad7808b4a504b11083311d851e8dddd6f3ec3a3fec5803827b66460298861c869e7944ad957656b94674006ab43d3129e00b09d7bd04ad0bed246b
Homepage: https://cran.r-project.org/package=blin
Description: CRAN Package 'blin' (Bipartite Longitudinal Influence Network (BLIN) Estimation)
 Estimate influence networks from longitudinal bipartite relational data,
 where the longitudinal relations are continuous. The outputs are estimates
 of weighted influence networks among each actor type in the data set. The
 generative model is the Bipartite Longitudinal Influence Network (BLIN)
 model, a linear autoregressive model for these type of data. The supporting
 paper is ``Inferring Influence Networks from Longitudinal Bipartite
 Relational Data'', which is in preparation by the same authors. The model
 may be estimated using maximum likelihood methods and Bayesian methods. For
 more detail on methods, see Marrs et. al. <arXiv:1809.03439>.

Package: r-cran-blindreview
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-blindreview_2.0.0-1.ca2004.1_all.deb
Size: 18880
MD5sum: 77634eb44986b6474f0b69fe9a63f55e
SHA1: f9b27c8877676fc2740916796768b40d4433f791
SHA256: 86bf60cf4ef6dc7bf0da8b5754b93dce4450162dd61964825d2d0098c340baa9
SHA512: b250b4f7624e678e79e4e60b18b216ad73f5fd876ef6d9b70232266251ee7080b06a69cddc6fd8c0e43945d7acaf55335049b13ead3b2f7bab35b1d20a55f820
Homepage: https://cran.r-project.org/package=blindreview
Description: CRAN Package 'blindreview' (Enables Blind Review of Database)
 Randomly reassigns the group identifications to one of the variables of the
 database, say Treatment, and randomly reassigns the observation numbers of
 the dataset.  Reorders the observations according to these new numbers.
 Centers each group of Treatment at the grand mean in order to further mask
 the treatment. An unmasking function is provided so that the user can
 identify the potential outliers in terms of their original values when
 blinding is no longer needed. It is suggested that a forward search
 procedure be performed on the masked data. Details of some forward search
 functions may be found in <https://CRAN.R-project.org/package=forsearch>.

Package: r-cran-blink
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringdist, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-blink_1.1.0-1.ca2004.1_all.deb
Size: 77284
MD5sum: 36a90a1f92884f8859e887cbcda1633f
SHA1: fb9317aabbb98456f9892f452656c8f0883c4520
SHA256: 03864d918067da6210078faf9f25f715d2c1f9f9e6b4ac42f757c38c1d95aaba
SHA512: 7c8cefa38259f5a5d26fdd37d800910a73eef849a72f1977d3eb759d6a20024597bf41fccbd466d4373d576223227f004e5141f26dabb153555cdff72a9e12f3
Homepage: https://cran.r-project.org/package=blink
Description: CRAN Package 'blink' (Record Linkage for Empirically Motivated Priors)
 An implementation of the model in Steorts (2015) <DOI:10.1214/15-BA965SI>,
 which performs Bayesian entity resolution for categorical and text data, for
 any distance function defined by the user. In addition, the precision and
 recall are in the package to allow one to compare to any other comparable
 method such as logistic regression, Bayesian additive regression trees
 (BART), or random forests. The experiments are reproducible and illustrated
 using a simple vignette. LICENSE: GPL-3 + file license.

Package: r-cran-blit
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 939
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-processx, r-cran-r6, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blit_0.2.0-1.ca2004.1_all.deb
Size: 708688
MD5sum: bb086f715c19f5a0a25c83cb356227d5
SHA1: dd52248ff925617147fe861ba771179decd0b53b
SHA256: 4b7f830676197843026066628ea43dfa201e6783bb7fe111c223b18ce441bde7
SHA512: 599275d7d1192b39b1534ab2e3abead8d80eed295b1e576866a6ae75cdeb1fc0911ca959da2b7abf2e58296fc1525f1d9dff022def5f94ebcae92d4e20f53491
Homepage: https://cran.r-project.org/package=blit
Description: CRAN Package 'blit' (Bioinformatics Library for Integrated Tools)
 An all-encompassing R toolkit designed to streamline the process of calling
 various bioinformatics software and then performing data analysis and
 visualization in R. With 'blit', users can easily integrate a wide array of
 bioinformatics command line tools into their workflows, leveraging the power
 of R for sophisticated data manipulation and graphical representation.

Package: r-cran-blm
Architecture: all
Version: 2022.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blm_2022.0.0.1-1.ca2004.1_all.deb
Size: 288496
MD5sum: 54a6a3a0d35fc445b2a1c0d57c9d4ca1
SHA1: 574301814cf91f6e3d4b5b4a1b7a35bce8984d52
SHA256: 3ba8dd420b1ac67956101bac4dc7f05d11dc98eed06065a9ae7b8e9c8e1d81b6
SHA512: ebac37ada2a20bc86fd26b9af98985c713394882eae8499d1e6790f23ad966253d95fcb384553d846edd3c547576358bbd45f04f8a196907e2d710cc3d6bb5a2
Homepage: https://cran.r-project.org/package=blm
Description: CRAN Package 'blm' (Binomial Linear Regression)
 Implements regression models for binary data on the absolute risk scale.
 These models are applicable to cohort and population-based case-control
 data.

Package: r-cran-blme
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4
Suggests: r-cran-expint, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blme_1.0-6-1.ca2004.1_all.deb
Size: 432008
MD5sum: e05f5271bd86be78a6135c188ec2b93d
SHA1: d06a9bd4363a7870cc99c5f67a8fbaaae5c489c8
SHA256: 67c0e9fefce69aa63e78a9b0447352de63b8d134d0fe9bcb1e66bbf756b7a14a
SHA512: 0b3ac703f6f230c9a0a6730184cf11c0cc7336b0a8268c0f69f49bcc165b5c9ae1d7bea60ed32efb3b629ac92d9a82bc5600db2a582fd71bf0a4944e72a8df2c
Homepage: https://cran.r-project.org/package=blme
Description: CRAN Package 'blme' (Bayesian Linear Mixed-Effects Models)
 Maximum a posteriori estimation for linear and generalized linear
 mixed-effects models in a Bayesian setting, implementing the methods of
 Chung, et al. (2013) <doi:10.1007/s11336-013-9328-2>. Extends package 'lme4'
 (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).

Package: r-cran-blmeco
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-arm, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-blmeco_1.4-1.ca2004.1_all.deb
Size: 160556
MD5sum: 4df63147b2a425e6ba645add7d7d50d5
SHA1: a7a14065ddd8a54daf9a459396f38ca1a3908e1d
SHA256: 2a3a5f87cf04c8979c1eb2a3ca298d50355740bd6e1ce73b133896049fabb5fa
SHA512: 87bc2c2f47234e15f21b9f0df6736747abbaf84352c553360f44b89caa08c2bc08b9663a832cb1bef5e784965f71cb70a2af238fac6333f149121cd49670a0f2
Homepage: https://cran.r-project.org/package=blmeco
Description: CRAN Package 'blmeco' (Data Files and Functions Accompanying the Book "Bayesian DataAnalysis in Ecology using R, BUGS and Stan")
 Data files and functions accompanying the book Korner-Nievergelt, Roth, von
 Felten, Guelat, Almasi, Korner-Nievergelt (2015) "Bayesian Data Analysis in
 Ecology using R, BUGS and Stan", Elsevier, New York.

Package: r-cran-blmodel
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mvtnorm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blmodel_1.0.2-1.ca2004.1_all.deb
Size: 40556
MD5sum: a8005d7fed94eed7bf22ea18e1c09d79
SHA1: 71a33f8720188bf0458bd454a9c1c07f66fb2214
SHA256: 91c9c22d64499e1cec83232206fe6beb0a2bd5562d8513bf47fa3242d0914c40
SHA512: 76d3c2d55b1619806cc235c0bc0082ad09ea6d9afcdd6592925ad8e6278c73b206cbfd469c9433883f71db43971dc1ba885e7c9a580e11c0723616d49c64ce39
Homepage: https://cran.r-project.org/package=BLModel
Description: CRAN Package 'BLModel' (Black-Litterman Posterior Distribution)
 Posterior distribution in the Black-Litterman model is computed from a prior
 distribution given in the form of a time series of asset returns and a
 continuous distribution of views provided by the user as an external
 function.

Package: r-cran-blob
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-covr, r-cran-crayon, r-cran-pillar, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blob_1.2.4-1.ca2004.1_all.deb
Size: 46864
MD5sum: ab0101f50c4a5c3811bfb8809413be65
SHA1: abf71e5caf95e0ab0dfe397a383b6736626b9725
SHA256: 2e8dd69b972e599085820c80ea1dac11fd36d300f466bf0bcee5a662b1113832
SHA512: 6bda81419df445c7d97d771d00ad031dc796264f11424162725ca7e918526f5e7c924ac307f1cbd91f4837203cef866557020012c55ca92c486cb882de9d4eb7
Homepage: https://cran.r-project.org/package=blob
Description: CRAN Package 'blob' (A Simple S3 Class for Representing Vectors of Binary Data('BLOBS'))
 R's raw vector is useful for storing a single binary object.  What if you
 want to put a vector of them in a data frame? The 'blob' package provides
 the blob object, a list of raw vectors, suitable for use as a column in data
 frame.

Package: r-cran-blockcov
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rdpack, r-cran-bbmisc, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-blockcov_0.1.1-1.ca2004.1_all.deb
Size: 159940
MD5sum: e1cb513b35036c0b7f4e2da9794141e4
SHA1: e28ed6c9f2a02fbb566270fe797c46aed4331e75
SHA256: 90510fafa21e0b43e4168a034c7c8843f035a4ef2c2acc677e2a03959e97cd0b
SHA512: 1f9d2758c3d7c9771b5affb9f69fa10db5883fb17bfe859c13a48876d3559e53fa89c2369e8dc0b6128f1bb5e604e362c43e81ed03e26e908ecebc8bdaf6a70d
Homepage: https://cran.r-project.org/package=BlockCov
Description: CRAN Package 'BlockCov' (Estimation of Large Block Covariance Matrices)
 Computation of large covariance matrices having a block structure up to a
 permutation of their columns and rows from a small number of samples with
 respect to the dimension of the matrix.  The method is described in the
 paper Perrot-Dockès et al. (2019) <arXiv:1806.10093>.

Package: r-cran-blocking
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3075
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-text2vec, r-cran-tokenizers, r-cran-rcpphnsw, r-cran-rcppannoy, r-cran-mlpack, r-cran-rnndescent, r-cran-igraph, r-cran-data.table, r-cran-readr, r-cran-matrix
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-reclin2
Filename: pool/dists/focal/main/r-cran-blocking_1.0.1-1.ca2004.1_all.deb
Size: 2780160
MD5sum: 8a3ab2f3e672b39c8581e4dbbcb69acf
SHA1: 67bad103c3ca761835f1c3dda5378ca5e68a4d0f
SHA256: 07e2a0bcbe4d5593221cad0896e156c01b973da8a4d87206b2447412f8c1d5d4
SHA512: 33f3c175e95d09919673c752b1ed7af388f04e3c074fed2a3428e89b4084a29da183fed1bae74bdf9cef4ed0545326c50b547697edb3f0c050d8ab879bd690f9
Homepage: https://cran.r-project.org/package=blocking
Description: CRAN Package 'blocking' (Various Blocking Methods for Entity Resolution)
 The goal of 'blocking' is to provide blocking methods for record linkage and
 deduplication using approximate nearest neighbour (ANN) algorithms and graph
 techniques. It supports multiple ANN implementations via 'rnndescent',
 'RcppHNSW', 'RcppAnnoy', and 'mlpack' packages, and provides integration
 with the 'reclin2' package. The package generates shingles from character
 strings and similarity vectors for record comparison, and includes
 evaluation metrics for assessing blocking performance including false
 positive rate (FPR) and false negative rate (FNR) estimates. For details
 see: Papadakis et al. (2020) <doi:10.1145/3377455>, Steorts et al. (2014)
 <doi:10.1007/978-3-319-11257-2_20>, Dasylva and Goussanou (2021)
 <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X202100200002>, Dasylva
 and Goussanou (2022) <doi:10.1007/s42081-022-00153-3>.

Package: r-cran-blocklength
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 905
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tseries
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-blocklength_0.2.2-1.ca2004.1_all.deb
Size: 122472
MD5sum: 2b976e096968f7dc672162df244c4faa
SHA1: 286311064206132a29bc71f66ceec50962d35761
SHA256: 5473cd15110b2bc0fa739460dc10ea9b4121620fdb12bb96c3139ad2e717f745
SHA512: 22b8a6a7529bfdab9c2adaacd1189c440dc18021a3be058d0a7e1667be8e846097b10707e1b2bd88524d8f06bd317e9c74726cd6263a7354ab53767257c601ac
Homepage: https://cran.r-project.org/package=blocklength
Description: CRAN Package 'blocklength' (Select an Optimal Block-Length to Bootstrap Dependent Data(Block Bootstrap))
 A set of functions to select the optimal block-length for a dependent
 bootstrap (block-bootstrap). Includes the Hall, Horowitz, and Jing (1995)
 <doi:10.1093/biomet/82.3.561> subsampling-based cross-validation method, the
 Politis and White (2004) <doi:10.1081/ETC-120028836> Spectral Density
 Plug-in method, including the Patton, Politis, and White (2009)
 <doi:10.1080/07474930802459016> correction, and the Lahiri, Furukawa, and
 Lee (2007) <doi:10.1016/j.stamet.2006.08.002> nonparametric plug-in method,
 with a corresponding set of S3 plot methods.

Package: r-cran-blockmatrix
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blockmatrix_1.0-1.ca2004.1_all.deb
Size: 64100
MD5sum: fc46c0df2c30e9ee2fdc5f6fccfb8064
SHA1: ca3cc24ff99ae3b59f8e1cdca8caad85f36403b8
SHA256: e68ae93978524d94006aacd923fa0394fdb49bb74946deebaa38d897e24d1d54
SHA512: 66705d2eaf53ba8fa78d8008f5f31590a5dccdd9d1e02fd76f60a9e41e9449e1e1bb13eb3bcd5907e2d7859fdddc2e51665efbfb0588702a3c1a5ae8ce2c6ff9
Homepage: https://cran.r-project.org/package=blockmatrix
Description: CRAN Package 'blockmatrix' (blockmatrix: Tools to solve algebraic systems with partitionedmatrices)
 Some elementary matrix algebra tools are implemented to manage block
 matrices or partitioned matrix, i.e. "matrix of matrices"
 (http://en.wikipedia.org/wiki/Block_matrix). The block matrix is here
 defined as a new S3 object. In this package, some methods for "matrix"
 object are rewritten for "blockmatrix" object. New methods are implemented.
 This package was created to solve equation systems with block matrices for
 the analysis of environmental vector time series .
 Bugs/comments/questions/collaboration of any kind are warmly welcomed.

Package: r-cran-blockmessage
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blockmessage_1.0-1.ca2004.1_all.deb
Size: 17004
MD5sum: 6dc69a0e55977a772f101556133b4946
SHA1: a90aaa279969e5886f1a76ec491abf0995f2e886
SHA256: 3ae60fe48848ee87f290887e4e3f2c460eaf6a54f94ba18a41806f61fcade483
SHA512: cc449b956ad893677826e2b12b1d6519fb3828b49801df6b4a45a7c25be6b3ff227cf19a22090e46a947d959248c572b4e589cf9ffbb587283b2169b04aa4a24
Homepage: https://cran.r-project.org/package=BlockMessage
Description: CRAN Package 'BlockMessage' (Creates strings that show a text message in 8 by 8 block letters)
 Creates strings that show a text message in 8 by 8 block letters

Package: r-cran-blockmissingdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-glmnet, r-cran-glmnetcr, r-cran-mass, r-cran-matrix, r-cran-pryr
Filename: pool/dists/focal/main/r-cran-blockmissingdata_0.1.0-1.ca2004.1_all.deb
Size: 79976
MD5sum: 6bfcc1ce611d08b8741cb2bce89b0d24
SHA1: 91ee633db7529ef1d7403b170d992d46d2c877b6
SHA256: df4805ff3c6a5c4a13aa45182ce2f633b4fc9533075ca4fd984391df29b254c5
SHA512: f88a9c705eb547aee9d0eacf6ee00a5da943f347b56cb74c862a05df902a3721556ba6bb28288191dbc108273d78f3525e72684950a7ac20272505a9b05b5e40
Homepage: https://cran.r-project.org/package=BlockMissingData
Description: CRAN Package 'BlockMissingData' (Integrating Multi-Source Block-Wise Missing Data in ModelSelection)
 Model selection method with multiple block-wise imputation for block-wise
 missing data; see Xue, F., and Qu, A. (2021)
 <doi:10.1080/01621459.2020.1751176>.

Package: r-cran-blockmodelinggui
Architecture: all
Version: 1.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-blockmodeling, r-cran-shiny, r-cran-dt, r-cran-htmlwidgets, r-cran-igraph, r-cran-intergraph, r-cran-network, r-cran-shinybusy, r-cran-shinyjs, r-cran-shinythemes, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-blockmodelinggui_1.8.4-1.ca2004.1_all.deb
Size: 45236
MD5sum: 16aa4952675ec43777b9d8c04e13d203
SHA1: 621bc0cee3ee3b19f38c4c4c6bc4e3289516b760
SHA256: d93a9774979c3aca3dbf3eecd4ab08aa6435a113c5396c9f388a4700b207d02d
SHA512: f496aa95d351656489856326dcb1c9e36cd7e42c6fae580c955564f5a670a8a405d70ebe42108db1add0d1cfa6beb2fb04c821481853651b67a3054904e14e9e
Homepage: https://cran.r-project.org/package=BlockmodelingGUI
Description: CRAN Package 'BlockmodelingGUI' (GUI for the Generalised Blockmodeling of Valued Networks)
 This app provides some useful tools for Offering an accessible GUI for
 generalised blockmodeling of single-relation, one-mode networks. The user
 can execute blockmodeling without having to write a line code by using the
 app's visual helps. Moreover, there are several ways to visualisations
 networks and their partitions. Finally, the results can be exported as if
 they were produced by writing code. The development of this package is
 financially supported by the Slovenian Research Agency (www.arrs.gov.si)
 within the research project J5-2557 (Comparison and evaluation of different
 approaches to blockmodeling dynamic networks by simulations with application
 to Slovenian co-authorship networks).

Package: r-cran-blockr.core
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10911
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-bslib, r-cran-bsicons, r-cran-jsonlite, r-cran-vctrs, r-cran-generics, r-cran-rlang, r-cran-htmltools, r-cran-shinyfiles
Suggests: r-cran-testthat, r-cran-memuse, r-cran-withr, r-cran-shinytest2, r-cran-roxy.shinylive, r-cran-knitr, r-cran-rmarkdown, r-cran-quarto, r-cran-scoutbar
Filename: pool/dists/focal/main/r-cran-blockr.core_0.1.0-1.ca2004.1_all.deb
Size: 1241840
MD5sum: f359675a136c1c781ae55ea45eab22fd
SHA1: b9f1c5b6b2b44d0fd3cd56b658a2faca0f72ed4d
SHA256: b87cf302825faca545dbf187544a1ca25c712b5797b1c83af45ed0e67e13f7a0
SHA512: 7b65d3238bb21db9747b0f7601b38cd6e2ac3fa37bb44e52099f35b18d6815cfb3117f9a0a78f8896efac86010a77982ba4bf26a34a6f8f0b0d9019de1adcc6a
Homepage: https://cran.r-project.org/package=blockr.core
Description: CRAN Package 'blockr.core' (Graphical Web-Framework for Data Manipulation and Visualization)
 A framework for data manipulation and visualization using a web-based point
 and click user interface where analysis pipelines are decomposed into
 re-usable and parameterizable blocks.

Package: r-cran-blockrand
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blockrand_1.5-1.ca2004.1_all.deb
Size: 33508
MD5sum: 7cfdfc2d659b32363f185a31e9be7505
SHA1: 0943fad443068223e9ed77acae6316cbcd00e68f
SHA256: 5727e2e22f794d815d80a3fedf49201343ec80f95232830bb553effd99646e4e
SHA512: 3e27e1770125ef6cc2a4ffdb526c15b8a516f4221c6337fc68a8727e4cdbef3efc3a146b0a31ffc79189680a1d1d0b2f812f3b40f6e24f4064429a775c56b9fc
Homepage: https://cran.r-project.org/package=blockrand
Description: CRAN Package 'blockrand' (Randomization for Block Random Clinical Trials)
 Create randomizations for block random clinical trials.  Can also produce a
 pdf file of randomization cards.

Package: r-cran-blocksdesign
Architecture: all
Version: 4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-polynomf
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-blocksdesign_4.9-1.ca2004.1_all.deb
Size: 487176
MD5sum: 58aebcc0976d412394c9cc9a4826f9c1
SHA1: c46248b0a34007bb3021f468a303ab3f43d385da
SHA256: 27a9770aac593f9de9bc2b36213ccc7304554730865e1767d66624951308ae46
SHA512: 5db0df7e2cbc13377a49f4794ed354da4f255b3d8b2fef5e7f3c4edfc0f3f462d72c9e71a01569b7e2825a36c3c459a5907c56ef848661bb6ae1b6800bd5bd05
Homepage: https://cran.r-project.org/package=blocksdesign
Description: CRAN Package 'blocksdesign' (Nested and Crossed Block Designs for Factorial and UnstructuredTreatment Sets)
 Constructs treatment and block designs for linear treatment models with
 crossed or nested block factors. The treatment design can be any feasible
 linear model and the block design can be any feasible combination of crossed
 or nested block factors. The block design is a sum of one or more block
 factors and the block design is optimized sequentially with the levels of
 each successive block factor optimized conditional on all previously
 optimized block factors.  D-optimality is used throughout except for square
 or rectangular lattice block designs which are constructed algebraically
 using mutually orthogonal Latin squares.  Crossed block designs with
 interaction effects are optimized using a weighting scheme which allows for
 differential weighting of first and second-order block effects.  Outputs
 include a table showing the allocation of treatments to blocks and tables
 showing the achieved D-efficiency factors for each block and treatment
 design.  Edmondson, R.N. Multi-level Block Designs for Comparative
 Experiments.  JABES 25, 500–522 (2020) <doi:10.1007/s13253-020-00416-0>.

Package: r-cran-blocs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-collapse, r-cran-dplyr, r-cran-ggplot2, r-cran-ks, r-cran-mgcv, r-cran-rlang, r-cran-tibble
Suggests: r-cran-devtools, r-cran-questionr, r-cran-reldist, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-blocs_0.1.1-1.ca2004.1_all.deb
Size: 425032
MD5sum: eb743cb6fbc599b3a603fb96c7bf597a
SHA1: 13219968294015f5773ebd3be917ce49a4b77ef1
SHA256: 7ed2122ce376fd7e1560d15fca1c7a821231188d7bbad828fe7857ea44ce8cc6
SHA512: 0179749ea1a1222f0378b1a80bec603c3df121168cb46e9f02819b4da496a18494949a841a42d22ee4b248c6a6cfdfe9b53078fe9d076ada0a0a2304430798d8
Homepage: https://cran.r-project.org/package=blocs
Description: CRAN Package 'blocs' (Estimate and Visualize Voting Blocs' Partisan Contributions)
 Functions to combine data on voting blocs' size, turnout, and vote choice to
 estimate each bloc's vote contributions to the Democratic and Republican
 parties.  The package also includes functions for uncertainty estimation and
 plotting. Users may define voting blocs along a discrete or continuous
 variable.  The package implements methods described in Grimmer, Marble, and
 Tanigawa-Lau (2023) <doi:10.31235/osf.io/c9fkg>.

Package: r-cran-blogdown
Architecture: all
Version: 1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bookdown, r-cran-htmltools, r-cran-httpuv, r-cran-jsonlite, r-cran-knitr, r-cran-later, r-cran-rmarkdown, r-cran-servr, r-cran-xfun, r-cran-yaml
Suggests: r-cran-miniui, r-cran-processx, r-cran-rstudioapi, r-cran-shiny, r-cran-stringr, r-cran-testit, r-cran-whoami
Filename: pool/dists/focal/main/r-cran-blogdown_1.21-1.ca2004.1_all.deb
Size: 323168
MD5sum: 359bbfd4ceb5fbf6876fc3690669043f
SHA1: 3dd451a0e9ca141b9f0158997c1f1d4067b777e2
SHA256: d000613be45f7a9982f50e76465aba2065dc62fba5bdcbb7b9635b22db3c2109
SHA512: ce399062b3d4ca3bcdb3636866629186b04da48ada4d4addf317f4f657c3c8d3474543d1907fbceace9e78fe60ad86e816a1ff9038e1a82ea4d8149613d99206
Homepage: https://cran.r-project.org/package=blogdown
Description: CRAN Package 'blogdown' (Create Blogs and Websites with R Markdown)
 Write blog posts and web pages in R Markdown. This package supports the
 static site generator 'Hugo' (<https://gohugo.io>) best, and it also
 supports 'Jekyll' (<https://jekyllrb.com>) and 'Hexo' (<https://hexo.io>).

Package: r-cran-bloq
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-maxlik, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bloq_0.1-2-1.ca2004.1_all.deb
Size: 84804
MD5sum: 3907e806cc23e9377917d283d9169b57
SHA1: 5f51c8af0239336555c104757576e698b61be25e
SHA256: 23a35b1f30ad6236f3c7a3d389e6aa0ee9f83cdeea7324b01a1f50a5ea6c9f6d
SHA512: dc92c51721d09dc18a2368c2c167e237c2a6250992fd81480929c2e06dcbb10a2b35b982bf490bd5a4f3b6151c4417f5bcfbdd5a15f886ff572b4bd4fe2abd53
Homepage: https://cran.r-project.org/package=BLOQ
Description: CRAN Package 'BLOQ' (Methods to Impute and Analyze Data with BLOQ Observations)
 Provides methods for estimating the area under the concentration versus time
 curve (AUC) and its standard error in the presence of Below the Limit of
 Quantification (BLOQ) observations. Two approaches are implemented: direct
 estimation using censored maximum likelihood, and a two-step approach that
 first imputes BLOQ values using various methods and then computes the AUC
 using the imputed data. Technical details are described in Barnett et al.
 (2020), "Methods for Non-Compartmental Pharmacokinetic Analysis With
 Observations Below the Limit of Quantification," Statistics in
 Biopharmaceutical Research. <doi:10.1080/19466315.2019.1701546>.

Package: r-cran-blrm
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-rjags, r-cran-mvtnorm, r-cran-openxlsx, r-cran-reshape2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-blrm_1.0-2-1.ca2004.1_all.deb
Size: 137392
MD5sum: 9c69ed1b1e6127bd8695e02a4f924a69
SHA1: 91a5dde195f9626314132cb9d9af02e19a560dde
SHA256: 89bdf68f7b47a8ee2dc9544493c87b77a54cd7f5195d00bce5f58a8c8dd26fd4
SHA512: 0e22546e2f2da01fcb3adfe50403c4a4bd58e63539e15f32db5a86346955cc6b0a02d60829fe6c91eaee73196bb73c733e72b85a4febaebebf73660f53571161
Homepage: https://cran.r-project.org/package=blrm
Description: CRAN Package 'blrm' (Dose Escalation Design in Phase I Oncology Trial Using BayesianLogistic Regression Modeling)
 Design dose escalation using Bayesian logistic regression modeling in Phase
 I oncology trial.

Package: r-cran-blrpm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Filename: pool/dists/focal/main/r-cran-blrpm_1.0-1.ca2004.1_all.deb
Size: 95388
MD5sum: 9e58f7d6d89f21b3fb2ab0dd4954af9f
SHA1: d78d2749627e218a857941a4bc5fad615d636dc3
SHA256: fb8bf3ccd80cff4788df9449a6da240fbea0ef98897a59494c54cd0c18b8f1a1
SHA512: 5a95c00282b3f39bdc1d3536ded4c1d86f4e2ff08f765583c1568f331ec360a2ff2d3f0ab79dbc5229e8eb3e9929278a405774750d56dd358da4552a5a87deb9
Homepage: https://cran.r-project.org/package=BLRPM
Description: CRAN Package 'BLRPM' (Stochastic Rainfall Generator Bartlett-Lewis Rectangular PulseModel)
 Due to a limited availability of observed high-resolution precipitation
 records with adequate length, simulations with stochastic precipitation
 models are used to generate series for subsequent studies [e.g. Khaliq and
 Cunmae, 1996, <doi:10.1016/0022-1694(95)02894-3>, Vandenberghe et al., 2011,
 <doi:10.1029/2009WR008388>]. This package contains an R implementation of
 the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by
 Rodriguez-Iturbe et al. (1987) <doi:10.1098/rspa.1987.0039>. It contains a
 function for simulating a precipitation time series based on storms and
 cells generated by the model with given or estimated model parameters.
 Additionally BLRPM parameters can be estimated from a given or simulated
 precipitation time series. The model simulations can be plotted in a
 three-layer plot including an overview of generated storms and cells by the
 model (which can also be plotted individually), a continuous step-function
 and a discrete precipitation time series at a chosen aggregation level.

Package: r-cran-blrshiny2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-blrshiny2_0.1.0-1.ca2004.1_all.deb
Size: 70756
MD5sum: b2f57c14e2e02a5e0ebdba5369055e70
SHA1: 95e935d074e3055249eabb6e831e4f6dd5165a59
SHA256: b752737395f677c7f85a8b8c93cdaf6838d00667ad676cd0a801d170f6a4dbb3
SHA512: 4d996ca285949ebb59546fbe98bbd540cb24c6a118bf39ca701fecc703895b60c113759ed473f483b91e5c6db802177c02e19737784452931d3a66fa618fdc61
Homepage: https://cran.r-project.org/package=BLRShiny2
Description: CRAN Package 'BLRShiny2' (Interactive Document for Working with Binary Logistic RegressionAnalysis)
 An interactive document on the topic of binary logistic regression analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.

Package: r-cran-blrshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-blrshiny_0.1.0-1.ca2004.1_all.deb
Size: 70680
MD5sum: 83de3983e6d9ac316771b246c77a6c5a
SHA1: 05ad3443e2f88eee5bdaae9e7375ef986e78df97
SHA256: 1de6cd05c9492805c384d19f3f6a4affc8f041bedf088e417c1fd4c77bfda2ff
SHA512: 1782d9bd6d93d722b41289f0d74f0dd86575cc0793ebbe639a6ac74f9059867d8af101f4cc7a53994ac44c4985dad2352f243d0002e3634144a4481e5217235d
Homepage: https://cran.r-project.org/package=BLRShiny
Description: CRAN Package 'BLRShiny' (Interactive Document for Working with Binary Logistic RegressionAnalysis)
 An interactive document on the topic of binary logistic regression analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://analyticmodels.shinyapps.io/BinaryLogisticRegressionModelling/>.

Package: r-cran-blsbandit
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-jsonlite, r-cran-plotly, r-cran-rsqlite, r-cran-shiny, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-blsbandit_0.1-1.ca2004.1_all.deb
Size: 41656
MD5sum: cd2df87bdde2806dad14eb1a2240472e
SHA1: 0774a6599c586112aff1ab35f115d6e320de1895
SHA256: 233be2d2ca9b0b8683c75eeed6fa74ac29714c0f7bb73f7b8db12835dddf74b8
SHA512: 8b828924fe93bdac109420ece0d9db67cdae49e69535bef8daa1506fb6f1b15c38fdfdafe3871ce7516e773fd117accf8b297e309b60dc6fd05cbd6ebab35eb9
Homepage: https://cran.r-project.org/package=blsBandit
Description: CRAN Package 'blsBandit' (Data Viewer for Bureau of Labor Statistics Data)
 Allows users to easily visualize data from the BLS (United States of America
 Bureau of Labor Statistics) <https://www.bls.gov>. Currently unemployment
 data series U1-U6 are available. Not affiliated with the Bureau of Labor
 Statistics or United States Government.

Package: r-cran-blscraper
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1217
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-blscraper_4.0.1-1.ca2004.1_all.deb
Size: 966716
MD5sum: 3eb54b89facdfbb014bdd39a8719da9a
SHA1: 90490a9a0c5638712f0df6b93a52683d8fc1c680
SHA256: 96ebc5643815474e0d790c4f095529f1e9223f66b72d8ff0a51fea325bf2e97d
SHA512: fa505a053ad01f1b45e7a8195742ec2dfab5a181c1b614149f9b8e61bc8a3effac8e41fb3cc6e731787e049f609e871b356317f18f705a8c5e0bf736a9d78ae5
Homepage: https://cran.r-project.org/package=blscrapeR
Description: CRAN Package 'blscrapeR' (An API Wrapper for the United States Bureau of Labor Statistics)
 Scrapes various data from <https://www.bls.gov/>. The Bureau of Labor
 Statistics is the statistical branch of the United States Department of
 Labor. The package has additional functions to help parse, analyze and
 visualize the data.

Package: r-cran-blsr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-purrr, r-cran-rlang, r-cran-readr, r-cran-stringr
Suggests: r-cran-testthat, r-cran-stringi, r-cran-zoo, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-blsr_0.5.0-1.ca2004.1_all.deb
Size: 121128
MD5sum: 9c21713dff37dd5742dff7d3e3c26fec
SHA1: e170d63f7551c00cfb1df86fc5c6ebe8addf0086
SHA256: 0cc6ffef5b612063824f6f2c359dad7ba5b1ffe4d7da52f463eada7ef68e9f14
SHA512: 512ce88b403b49a391f33669e995637d773a297f0fbef73f655c2419e064e35d3239eceb9a5d0a75fc22b68e8d0d6b2b3febb9c83ccdbd6ebc540f67dc09495d
Homepage: https://cran.r-project.org/package=blsR
Description: CRAN Package 'blsR' (Make Requests from the Bureau of Labor Statistics API)
 Implements v2 of the B.L.S. API for requests of survey information and time
 series data through 3-tiered API that allows users to interact with the raw
 API directly, create queries through a functional interface, and re-shape
 the data structures returned to fit common uses. The API definition is
 located at: <https://www.bls.gov/developers/api_signature_v2.htm>.

Package: r-cran-bltm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvnfast, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-bltm_0.1.0-1.ca2004.1_all.deb
Size: 307592
MD5sum: 3ca0c6fd95565d870f6fdc1f362431a3
SHA1: a9c0c2f5a0ed2f641719a6383229ad24f7991b21
SHA256: 2fd095d501225b662c33b32471ad503fc411f4175374a177942554383d7fd05f
SHA512: be61eb4ba853bdc7231d49f1bef07cd8cda50410fc57a9679b84073df8049e2a73830a5c8199c4938a6fddc9ee7b074dc221261f70c6c99d13a99d3abe0f8d7a
Homepage: https://cran.r-project.org/package=bltm
Description: CRAN Package 'bltm' (Bayesian Latent Threshold Modeling)
 Fits latent threshold model for simulated data and describes how to adjust
 model using real data. Implements algorithm proposed by Nakajima and West
 (2013) <doi:10.1080/07350015.2012.747847>.  This package has a function to
 generate data, a function to configure priors and a function to fit the
 model. Examples may be checked inside the demonstration files.

Package: r-cran-bluebike
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1756
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-sf, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bluebike_0.0.3-1.ca2004.1_all.deb
Size: 937320
MD5sum: e5966eb8dd4e2e1a796e40c98cc3bfe7
SHA1: a3007f7f0c0965ac510e904ff72fa57d42cc4ae0
SHA256: ca9ae79f1a2fb37960697abec090174776e67bd578a0940de3d01a322f5d6bdd
SHA512: e76997d44e941bd892c521dbe9f6e8730fc48f491a8917c8763566c96671c67231b257fcc7459a67afbe3ffc1b0714d20a4d6f9d76f809d6402b75cd4d80b533
Homepage: https://cran.r-project.org/package=bluebike
Description: CRAN Package 'bluebike' (Blue Bike Comprehensive Data)
 Facilitates the importation of the Boston Blue Bike trip data since 2015.
 Functions include the computation of trip distances of given trip data. It
 can also map the location of stations within a given radius and calculate
 the distance to nearby stations. Data is from
 <https://www.bluebikes.com/system-data>.

Package: r-cran-bluecarbon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bluecarbon_0.1.0-1.ca2004.1_all.deb
Size: 301664
MD5sum: 80c8e65247e3e5a1777b0599d455bf8e
SHA1: 7e57a3d4fa7e54ec167c91606bc0140087c7d51a
SHA256: 19adce597a40701404cb5087ac128ff0224468fc8578eccfbc916940114e0128
SHA512: eeb8c7a57504ce83540e62d94b9a2686ef9868f0f8bcdb6341055ecbd9d611c0150efe25794cf7a82cd3fe73f39b8c64d1449e92ea6cb02d2ce352f5246aaef3
Homepage: https://cran.r-project.org/package=BlueCarbon
Description: CRAN Package 'BlueCarbon' (Estimation of Organic Carbon Stocks and Sequestration Rates fromSoil Core Data)
 Tools to estimate soil organic carbon stocks and sequestration rates in blue
 carbon ecosystems. 'BlueCarbon' contains functions to estimate and correct
 for core compaction, estimate sample thickness, estimate organic carbon
 content from organic matter content, estimate organic carbon stocks and
 sequestration rates, and visualize the error of carbon stock extrapolation.

Package: r-cran-blythstillcasellaci
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-blythstillcasellaci_1.1.0-1.ca2004.1_all.deb
Size: 39712
MD5sum: eed49ac5a17208a59aa68d18e8f303ff
SHA1: 58e4038b64e3731c1e597675f9cf58434911265e
SHA256: db8de1ee08d557b9328c21890398fd79243f52d0a579beae19e52d547e67a4e5
SHA512: 2befe122c0e7f141e681205bf228c261b9aa51288699ef2f03699125d7bef155ba8894544042392c586da53944e73ca3b9a0c0a011098fc3732d1a576ff54f83
Homepage: https://cran.r-project.org/package=BlythStillCasellaCI
Description: CRAN Package 'BlythStillCasellaCI' (Blyth-Still-Casella Exact Binomial Confidence Intervals)
 Computes Blyth-Still-Casella exact binomial confidence intervals based on a
 refining procedure proposed by George Casella (1986) <doi:10.2307/3314658>.

Package: r-cran-bmabart
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bart, r-cran-survival, r-cran-gplots, r-cran-lattice
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bmabart_2.0-1.ca2004.1_all.deb
Size: 261576
MD5sum: ccdfd615df96e4eab241c0b7c39ac0bf
SHA1: debd37812ebddc9562e0dfa569b1e735f0bef1ef
SHA256: 1ca36d59ac8fd78ecb08422117ac8093d2bfaeb60eff8425932da7ed34f6eb30
SHA512: 5c43186edc916a4c9e0d1931e4111c0fbf22390cf08469ad084c719ebc84a93a724ef64588e80e059b27b640c3d595bdce0c49ce70bc28e69d38ad623c5e8839
Homepage: https://cran.r-project.org/package=bmabart
Description: CRAN Package 'bmabart' (Bayesian Mediation Analysis Using BART)
 Used for Bayesian mediation analysis based on Bayesian additive Regression
 Trees (BART).  The analysis method is described in Yu and Li (2025)
 "Mediation Analysis with Bayesian Additive Regression Trees", submitted for
 publication.

Package: r-cran-bmass
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bmass_1.0.3-1.ca2004.1_all.deb
Size: 112996
MD5sum: 8f98790f61641f343dede853b77e5cf4
SHA1: 4088cb407b962d768ea7927069474c21992f4678
SHA256: 2e5f646c39019dbed4ad8a1a7bd984fa50742c8ff6d8334d7b41b551ec0f73ce
SHA512: 4bfc29436131f10c9e043f36aea3c1997de633b51cf93efdcc6d6067f9ec7fb4e2d9bdbfc2de3e01192df2cd9c28fabaf7f8d0120da27177340c3395a40d5a6a
Homepage: https://cran.r-project.org/package=bmass
Description: CRAN Package 'bmass' (Bayesian Multivariate Analysis of Summary Statistics)
 Multivariate tool for analyzing genome-wide association study results in the
 form of univariate summary statistics. The goal of 'bmass' is to
 comprehensively test all possible multivariate models given the phenotypes
 and datasets provided. Multivariate models are determined by assigning each
 phenotype to being either Unassociated (U), Directly associated (D) or
 Indirectly associated (I) with the genetic variant of interest. Test results
 for each model are presented in the form of Bayes factors, thereby allowing
 direct comparisons between models. The underlying framework implemented here
 is based on the modeling developed in "A Unified Framework for Association
 Analysis with Multiple Related Phenotypes", M. Stephens (2013)
 <doi:10.1371/journal.pone.0065245>.

Package: r-cran-bmconcor
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4227
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bmconcor_2.0.0-1.ca2004.1_all.deb
Size: 594124
MD5sum: 768d71340e2091bed56289a2c7b1ce4c
SHA1: 3b6d8ce2b1acb4fb9768a29fccbced05f8f9385a
SHA256: 7ab6ac0dd76adeb5226fb9da3a467a9388194430bbb2e52e059d0b038f564631
SHA512: 5fed3903ae3e81ad6affe2c40a55387f5f0306d78a5369f735aa4c466bcc55b08ed376b28bc8ee727eda1cefb4379ebc9ab83a668f8f184c60387044a4acbae7
Homepage: https://cran.r-project.org/package=BMconcor
Description: CRAN Package 'BMconcor' (CONCOR for Structural- And Regular-Equivalence Blockmodeling)
 The four functions svdcp() ('cp' for column partitioned), svdbip() or
 svdbip2() ('bip' for bipartitioned), and svdbips() ('s' for a simultaneous
 optimization of a set of 'r' solutions), correspond to a singular value
 decomposition (SVD) by blocks notion, by supposing each block depending on
 relative subspaces, rather than on two whole spaces as usual SVD does. The
 other functions, based on this notion, are relative to two column
 partitioned data matrices x and y defining two sets of subsets x_i and y_j
 of variables and amount to estimate a link between x_i and y_j for the pair
 (x_i, y_j) relatively to the links associated to all the other pairs. These
 methods were first presented in: Lafosse R. & Hanafi M.,(1997)
 <https://eudml.org/doc/106424> and Hanafi M. & Lafosse, R. (2001)
 <https://eudml.org/doc/106494>.

Package: r-cran-bmem
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1053
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-amelia, r-cran-mass, r-cran-snowfall, r-cran-lavaan, r-cran-sem
Filename: pool/dists/focal/main/r-cran-bmem_2.1-1.ca2004.1_all.deb
Size: 950544
MD5sum: 64cfc80cb96a44a7b146c0b3bc94dc76
SHA1: b856372533673c649d79cce43cd20342041ae0b1
SHA256: de102d408a2c7110dc8ae5cd03819b9c6736af41980059e8960c5edf6db9bab0
SHA512: 2282eddbd45e3e2bf02af8cd66bdc07e748691318632ca90f48e3f099d98321ab4c4edd7a2600c8882ef0e36ce3d202bc6b7cf0e1189d26dc2ada6b8a80d7024
Homepage: https://cran.r-project.org/package=bmem
Description: CRAN Package 'bmem' (Mediation Analysis with Missing Data Using Bootstrap)
 Four methods for mediation analysis with missing data: Listwise deletion,
 Pairwise deletion, Multiple imputation, and Two Stage Maximum Likelihood
 algorithm. For MI and TS-ML, auxiliary variables can be included. Bootstrap
 confidence intervals for mediation effects are obtained. The robust method
 is also implemented for TS-ML. Since version 1.4, bmem adds the capability
 to conduct power analysis for mediation models. Details about the methods
 used can be found in these articles. Zhang and Wang (2003)
 <doi:10.1007/s11336-012-9301-5>. Zhang (2014)
 <doi:10.3758/s13428-013-0424-0>.

Package: r-cran-bmemapping
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bmemapping_0.3.0-1.ca2004.1_all.deb
Size: 77408
MD5sum: 9b399e386013c31e85aee8186c2850c9
SHA1: 730cc31e7795592d350122abb3cea8318441f4cb
SHA256: 7cec998d61cb57d4e7077d8e99cbff68ec8b4c738292325b79c2f616dc45543c
SHA512: e513f5910847ebdb80f706b3ebccf61ace5e287e9d51d9212d0eebf5074f827647ebf1933431c28e21b552171decb4475299c5c0072784064ff301ef2e206f39
Homepage: https://cran.r-project.org/package=BMEmapping
Description: CRAN Package 'BMEmapping' (Spatial Interpolation using Bayesian Maximum Entropy (BME))
 Provides an accessible and robust implementation of core BME methodologies
 for spatial prediction. It enables the systematic integration of
 heterogeneous data sources including both hard data (precise measurements)
 and soft interval data (bounded or uncertain observations) while
 incorporating prior knowledge and supporting variogram-based spatial
 modeling. The BME methodology is described in Christakos (1990)
 <doi:10.1007/BF00890661> and Serre and Christakos (1999)
 <doi:10.1007/s004770050029>.

Package: r-cran-bmemlavaan
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-amelia, r-cran-mass, r-cran-snowfall, r-cran-rsem, r-cran-lavaan, r-cran-sem
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-bmemlavaan_0.5-1.ca2004.1_all.deb
Size: 461804
MD5sum: 49f6d6cc0a9c8b641d38cb7ea74da0ee
SHA1: a264c02be9a0a4bec29895316806dd122847610a
SHA256: ffbd530caef64d80bab109349b66343df2c9c49c9c73afb0e39a224ab2a16db2
SHA512: 1e9370b7bf765a38cefff8b255e9358eb4a47fbc53868532ef6cebc4aef724a74e8255794d66cd52fd857ee1dcb3fa5ec7e881f201d7bb76330757f564f5a7b0
Homepage: https://cran.r-project.org/package=bmemLavaan
Description: CRAN Package 'bmemLavaan' (Mediation Analysis with Missing Data and Non-Normal Data)
 Methods for mediation analysis with missing data and non-normal data are
 implemented. For missing data, four methods are available: Listwise
 deletion, Pairwise deletion, Multiple imputation, and Two Stage Maximum
 Likelihood algorithm. For MI and TS-ML, auxiliary variables can be included
 to handle missing data. For handling non-normal data, bootstrap and
 two-stage robust methods can be used. Technical details of the methods can
 be found in Zhang and Wang (2013, <doi:10.1007/s11336-012-9301-5>), Zhang
 (2014, <doi:10.3758/s13428-013-0424-0>), and Yuan and Zhang (2012,
 <doi:10.1007/s11336-012-9282-4>).

Package: r-cran-bmet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-bmet_0.1.0-1.ca2004.1_all.deb
Size: 22776
MD5sum: 67b2169fc1e2723ddb9533bab74c4116
SHA1: c548c9ca90ad85570cd3761fc11069b8d66a96ee
SHA256: 06f459de0a143358d4c8d80ca08eba1644ca75137276a64f2eff9124f25c48e5
SHA512: bfe1fdf3408b5cdfd96186f1b91e8f035dc1634ba3be1d2e64200ed6edb6a3d33021e46091afc512e5430e7e370f3d2806bd24eec8b6ba834aaee938a2b46b5b
Homepage: https://cran.r-project.org/package=bmet
Description: CRAN Package 'bmet' (Bayesian Multigroup Equivalence Testing)
 Calculates the necessary quantities to perform Bayesian multigroup
 equivalence testing.  Currently the package includes the Bayesian models and
 equivalence criteria outlined in Pourmohamad and Lee (2023)
 <doi:10.1002/sta4.645>, but more models and equivalence testing features may
 be added over time.

Package: r-cran-bmk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-plyr, r-cran-functional
Filename: pool/dists/focal/main/r-cran-bmk_1.0-1.ca2004.1_all.deb
Size: 172136
MD5sum: ec78b814330120e81dafcacec846bee3
SHA1: f019932267d5b7fed3a17097cf34fe5ff08d160a
SHA256: dd2b7f93dfb6c6037bcadbdb6ec5a5c9b515272086d5ccd08cda18ebae4fc390
SHA512: 967f1bba8d4b0f69a8eabcdeaca07b785d3789c21b5ade42587fff71dd462101920001f8fa837194d53d10b27e6baa1b6d72bbeed3426ab934e03c90bb47e175
Homepage: https://cran.r-project.org/package=bmk
Description: CRAN Package 'bmk' (MCMC diagnostics package)
 MCMC diagnostic package that contains tools to diagnose convergence as well
 as to evaluate sensitivity studies, Includes summary functions which output
 mean, median, 95percentCI, Gelman & Rubin diagnostics and the Hellinger
 distance based diagnostics, Also contains functions to determine when an
 MCMC chain has converged via Hellinger distance, A function is also provided
 to compare outputs from identically dimensioned chains for determining
 sensitivy to prior distribution assumptions

Package: r-cran-bmm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1065
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-crayon, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-magrittr, r-cran-matrixstats, r-cran-tidyr, r-cran-withr
Suggests: r-cran-bookdown, r-cran-cowplot, r-cran-fansi, r-cran-ggplot2, r-cran-ggthemes, r-cran-knitr, r-cran-mixtur, r-cran-remotes, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidybayes, r-cran-usethis, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-bmm_1.0.1-1.ca2004.1_all.deb
Size: 937088
MD5sum: 38d29440515882b2202ab94a867a7d1e
SHA1: 01554187218f76c9b235d78a07f4c8fa9fdc4a7b
SHA256: 90d5df49eb9412b46c512768b85027e734b414adb57342c01d4709d95775ac4f
SHA512: 0aa170ff6a61b68062f1a480218e3b37539010eee8b39339b2d46d5ee4f293dab7e3f6762ea4bb70fc1f65419b3e6efbe5054c797d1840f015d176ced57371d8
Homepage: https://cran.r-project.org/package=bmm
Description: CRAN Package 'bmm' (Easy and Accessible Bayesian Measurement Models Using 'brms')
 Fit computational and measurement models using full Bayesian inference. The
 package provides a simple and accessible interface by translating complex
 domain-specific models into 'brms' syntax, a powerful and flexible framework
 for fitting Bayesian regression models using 'Stan'. The package is designed
 so that users can easily apply state-of-the-art models in various research
 fields, and so that researchers can use it as a new model development
 framework.  References: Frischkorn and Popov (2023)
 <doi:10.31234/osf.io/umt57>.

Package: r-cran-bmmix
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-bmmix_0.1-2-1.ca2004.1_all.deb
Size: 29076
MD5sum: 7f754630b98a39f2e59269ae6c27c673
SHA1: ac3e725256243bf9d72ab56e293f6dfb12acef36
SHA256: 2c582596593cda01895d3fa7b66887041664c7d9b95ea9d5e7fdca85d16cd048
SHA512: 3be72ab183587f56295f5f3ccb78947e9ddd03d1dc2eda3336ae475ad7cf4cb993b42e8ae003c1303f1fcffd7c4b2ff14119633f5862fa23cf184dbdae372e75
Homepage: https://cran.r-project.org/package=bmmix
Description: CRAN Package 'bmmix' (Bayesian multinomial mixture)
 Bayesian multinomial mixture model

Package: r-cran-bmp
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-pixmap, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bmp_0.3-1.ca2004.1_all.deb
Size: 97068
MD5sum: c6a2f23cba6c40cbfa4d7ce033d50fe5
SHA1: 26f388d28bb187a34b818e2006151346ce80cf26
SHA256: f757d70ea68d1bff5e7272d8f88360dc41df891a462084094e7ad616d95f7eb1
SHA512: ba97b69b6cf7c329b3bcea4a1b4593dbe0642e179c528af92d2c838736cefc0cf494ece6caf4535a63bd43f7e46e3f580afa55417b112c8fd4b1c411a69f1b7d
Homepage: https://cran.r-project.org/package=bmp
Description: CRAN Package 'bmp' (Read Windows Bitmap (BMP) Images)
 Reads Windows BMP format images. Currently limited to 8 bit greyscale images
 and 24,32 bit (A)RGB images. Pure R implementation without external
 dependencies.

Package: r-cran-bmrbr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bmrbr_0.2.0-1.ca2004.1_all.deb
Size: 22216
MD5sum: d69744055dd85d8bff994f0727698239
SHA1: ed87a001514cbbbf4b84b6c23ac8fccb0d83a81b
SHA256: 138ac63e3a2aca57e7d7f5c74bbf49c16dd86af2e360ea647195e9165bc495be
SHA512: 7bb6eee4f8da5ac95f643f8bd10700206a449169a30124e3f03cb032dfca3a3bc4adcc8053a3f77ad642279e14478afb8f0ed378e7264d512284b28fabd14691
Homepage: https://cran.r-project.org/package=BMRBr
Description: CRAN Package 'BMRBr' ('BMRB' File Downloader)
 Nuclear magnetic resonance (NMR) is a highly versatile analytical technique
 for studying molecular configuration, conformation, and dynamics, especially
 those of biomacromolecules such as proteins. Biological Magnetic Resonance
 Data Bank ('BMRB') is a repository for Data from NMR Spectroscopy on
 Proteins, Peptides, Nucleic Acids, and other Biomolecules. Currently, 'BMRB'
 offers an R package 'RBMRB' to fetch data, however, it doesn't easily offer
 individual data file downloading and storing in a local directory. When
 using 'RBMRB', the data will stored as an R object, which fundamentally
 hinders the NMR researches to access the rich information from raw data, for
 example, the metadata. Here, 'BMRBr' File Downloader ('BMRBr') offers a more
 fundamental, low level downloader, which will download original deposited
 .str format file. This type of file contains information such as entry
 title, authors, citation, protein sequences, and so on.  Many factors affect
 NMR experiment outputs, such as temperature, resonance sensitivity and etc.,
 approximately 40% of the entries in the 'BMRB' have chemical shift accuracy
 problems [1,2] Unfortunately, current reference correction methods are
 heavily dependent on the availability of assigned protein chemical shifts or
 protein structure. This is my current research project is going to solve,
 which will be included in the future release of the package. The current
 version of the package is sufficient and robust enough for downloading
 individual 'BMRB' data file from the 'BMRB' database
 <http://www.bmrb.wisc.edu>. The functionalities of this package includes but
 not limited: * To simplifies NMR researches by combine data downloading and
 results analysis together.  * To allows NMR data reaches a broader audience
 that could utilize more than just chemical shifts but also metadata.  * To
 offer reference corrected data for entries without assignment or structure
 information (future release).  Reference: [1] E.L. Ulrich, H. Akutsu, J.F.
 Doreleijers, Y. Harano, Y.E. Ioannidis, J. Lin, et al., BioMagResBank, Nucl.
 Acids Res. 36 (2008) D402–8. <doi:10.1093/nar/gkm957>.  [2] L. Wang, H.R.
 Eghbalnia, A. Bahrami, J.L. Markley, Linear analysis of carbon-13 chemical
 shift differences and its application to the detection and correction of
 errors in referencing and spin system identifications, J. Biomol. NMR. 32
 (2005) 13–22. <doi:10.1007/s10858-005-1717-0>.

Package: r-cran-bmrmm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fields, r-cran-logofgamma, r-cran-mcmcpack, r-cran-multicool, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-bmrmm_1.0.1-1.ca2004.1_all.deb
Size: 236076
MD5sum: 4def03dcd9c423edd2b576f1f92e2fb7
SHA1: 5b5ceba2408fd92826c5fb7f2f7cb5477c307ff2
SHA256: 126ad3529f5649ee55f3938b3f8365a6fc40b9ef4eca678cb719f0db9d4405ab
SHA512: 07a481920018df728127af7902b11061862498082ee957b3da2c38592f686398e6436a15fdaaed9416810ca976e55fcc164709ac4f2b1fd33f124c926d35ccb2
Homepage: https://cran.r-project.org/package=BMRMM
Description: CRAN Package 'BMRMM' (An Implementation of the Bayesian Markov (Renewal) Mixed Models)
 The Bayesian Markov renewal mixed models take sequentially observed
 categorical data with continuous duration times, being either state duration
 or inter-state duration. These models comprehensively analyze the stochastic
 dynamics of both state transitions and duration times under the influence of
 multiple exogenous factors and random individual effect. The default setting
 flexibly models the transition probabilities using Dirichlet mixtures and
 the duration times using gamma mixtures. It also provides the flexibility of
 modeling the categorical sequences using Bayesian Markov mixed models alone,
 either ignoring the duration times altogether or dividing duration time into
 multiples of an additional category in the sequence by a user-specific unit.
 The package allows extensive inference of the state transition probabilities
 and the duration times as well as relevant plots and graphs. It also
 includes a synthetic data set to demonstrate the desired format of input
 data set and the utility of various functions. Methods for Bayesian Markov
 renewal mixed models are as described in: Abhra Sarkar et al., (2018)
 <doi:10.1080/01621459.2018.1423986> and Yutong Wu et al., (2022)
 <doi:10.1093/biostatistics/kxac050>.

Package: r-cran-bmrsr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-stringr, r-cran-tibble, r-cran-readr, r-cran-purrr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bmrsr_1.0.3-1.ca2004.1_all.deb
Size: 184700
MD5sum: 86388a852a758a39e90ae88b5d068420
SHA1: 15a54e569511b8fc51e5b6ab59c5cc928ad57cec
SHA256: 3a272b302a9369527079d5e0fccbace92ae12ff1a2bd6dbad21cbea1a966cd3d
SHA512: 09dd1f78b0e66652767cc9d7d1b1da7243293f68928bcf1ce6d4cb274f9e90fdb0e37a386d826b566265c2a5ff4ca102ae41f95e49f91cb4b2484c6fe1a83281
Homepage: https://cran.r-project.org/package=BMRSr
Description: CRAN Package 'BMRSr' (Wrapper Functions to the 'BMRS API')
 A set of wrapper functions to better interact with the 'Balancing Mechanism
 Reporting System API' (<https://bmreports.com/>).

Package: r-cran-bms
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3099
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bms_0.3.5-1.ca2004.1_all.deb
Size: 2910736
MD5sum: 931d19297a67c287e08d0a888439969c
SHA1: 6f13763e4f3ea2bd2d10a3a4151c2f9563653bec
SHA256: 2f0c724815ea15fce466121e69e87f8278360fb2d8b17b6b0abb85e50f963fbc
SHA512: 686ee418f124186bd3b0356a0432f77394015ae2e62702c21679ceb1a5a42308e0542d02d55c154eb639fec0f6dd34a337f3d20f32e4ffa6315ee91fdcf0da5f
Homepage: https://cran.r-project.org/package=BMS
Description: CRAN Package 'BMS' (Bayesian Model Averaging Library)
 Bayesian Model Averaging for linear models with a wide choice of
 (customizable) priors. Built-in priors include coefficient priors (fixed,
 hyper-g and empirical priors), 5 kinds of model priors, moreover model
 sampling by enumeration or various MCMC approaches. Post-processing
 functions allow for inferring posterior inclusion and model probabilities,
 various moments, coefficient and predictive densities. Plotting functions
 available for posterior model size, MCMC convergence, predictive and
 coefficient densities, best models representation, BMA comparison. Also
 includes Bayesian normal-conjugate linear model with Zellner's g prior, and
 assorted methods.

Package: r-cran-bmscstan
Architecture: all
Version: 1.2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rstan, r-cran-ggplot2, r-cran-bayesplot, r-cran-loo, r-cran-logspline, r-cran-laplacesdemon
Suggests: r-cran-reshape2, r-cran-gridextra, r-cran-bridgesampling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bmscstan_1.2.1.0-1.ca2004.1_all.deb
Size: 301380
MD5sum: ced9801a1060bfd4edf5c40b9b51d310
SHA1: d15ebe510ddba36149215129061f34bf5088a029
SHA256: 8d7c40e1a707cdb0e0e538c8a16ae8e5e6adc9da54de184fdaf92cbc8168ef10
SHA512: 337fc3fecd5fb39be01b8fd42ca4758b7435f4e0098d7e6577eb46ad3a9e245de5d96c93f073e5a041297c249c7d47af151fca71f2b1f377b27823bc3efefdc5
Homepage: https://cran.r-project.org/package=bmscstan
Description: CRAN Package 'bmscstan' (Bayesian Multilevel Single Case Models using 'Stan')
 Analyse single case analyses against a control group.  Its purpose is to
 provide a flexible, with good power and low first type error approach that
 can manage at the same time controls' and patient's data.  The use of
 Bayesian statistics allows to test both the alternative and null hypothesis.
 Scandola, M., & Romano, D. (2020, August 3). <doi:10.31234/osf.io/sajdq>
 Scandola, M., & Romano, D. (2021).
 <doi:10.1016/j.neuropsychologia.2021.107834>.

Package: r-cran-bmt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-partitions, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-bmt_0.1.3-1.ca2004.1_all.deb
Size: 329596
MD5sum: 9de55c11dd7f34c9de82040dfac16139
SHA1: 44cd6be45c652a845a31e2c9e8c52d7d6c316966
SHA256: 7a5a9f2b37a97ecd98b8ff8c0a618f53d09092ffb5efbf15b472dd3ea4bb2984
SHA512: 2d48ad7b69a65e4068be175bfc9a0da7eddb83ce675f204323b1e5c0f3f547ba5ff2689a9ccbf67ebe1ddf086145dd7bf2774a6d711984f8c9a0e0afc63cd000
Homepage: https://cran.r-project.org/package=BMT
Description: CRAN Package 'BMT' (The BMT Distribution)
 Density, distribution, quantile function, random number generation for the
 BMT (Bezier-Montenegro-Torres) distribution. Torres-Jimenez C.J. and
 Montenegro-Diaz A.M. (2017) <doi:10.48550/arXiv.1709.05534>. Moments,
 descriptive measures and parameter conversion for different
 parameterizations of the BMT distribution. Fit of the BMT distribution to
 non-censored data by maximum likelihood, moment matching, quantile matching,
 maximum goodness-of-fit, also known as minimum distance, maximum product of
 spacing, also called maximum spacing, and minimum quantile distance, which
 can also be called maximum quantile goodness-of-fit. Fit of univariate
 distributions for non-censored data using maximum product of spacing
 estimation and minimum quantile distance estimation is also included.

Package: r-cran-bmtar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 567
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brobdingnag, r-cran-mass, r-cran-mcmcpack, r-cran-expm, r-cran-ks, r-cran-mvtnorm, r-cran-doparallel, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bmtar_0.1.1-1.ca2004.1_all.deb
Size: 533668
MD5sum: 6f8345784780daf24462bd89f600b927
SHA1: c9fb6de2adbcb5343fc0275266c404353f25e0c3
SHA256: fd0cb72a507a049dce3cea014922bc3395ae5d6ee2e4ae183e167bd06dc00883
SHA512: 9cf265da39447ea603c748ad1f0f99c7bd4cab48d64da0ea98deedcab74d2185ebba2c13e53f916be55e88424b1fa5cacbb651dfaadb71866d66ed266e6cd9b1
Homepage: https://cran.r-project.org/package=BMTAR
Description: CRAN Package 'BMTAR' (Bayesian Approach for MTAR Models with Missing Data)
 Implements parameter estimation using a Bayesian approach for Multivariate
 Threshold Autoregressive (MTAR) models with missing data using Markov Chain
 Monte Carlo methods. Performs the simulation of MTAR processes (mtarsim()),
 estimation of matrix parameters and the threshold values (mtarns()),
 identification of the autoregressive orders using Bayesian variable
 selection (mtarstr()), identification of the number of regimes using
 Metropolised Carlin and Chib (mtarnumreg()) and estimate missing data,
 coefficients and covariance matrices conditional on the autoregressive
 orders, the threshold values and the number of regimes (mtarmissing()).
 Calderon and Nieto (2017) <doi:10.1080/03610926.2014.990758>.

Package: r-cran-bnclustomics
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bidag, r-cran-mclust, r-cran-clue, r-bioc-rbgl, r-bioc-graph, r-cran-grbase, r-cran-rcolorbrewer, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-bnclustomics_1.1.1-1.ca2004.1_all.deb
Size: 320312
MD5sum: 3e7143b60c9ca6890a9de6fdbbca6e9e
SHA1: 544ca3269bbf939b45a1ff334ddf54964cd940ed
SHA256: c70dd9bb12fd32fd5705c8b67507ecc03cdee561f7325eab0e2bf1817d158228
SHA512: 32398ff94c0f0b5fcbde124b5794d4de2e1f671074974408e57574823c57e6e4f41d773ce22d41685664f737bd62935c68173ab2b60d06d771fee2cea4ff2466
Homepage: https://cran.r-project.org/package=bnClustOmics
Description: CRAN Package 'bnClustOmics' (Bayesian Network-Based Clustering of Multi-Omics Data)
 Unsupervised Bayesian network-based clustering of multi-omics data. Both
 binary and continuous data types are allowed as inputs. The package serves a
 dual purpose: it clusters (patient) samples and learns the multi-omics
 networks that characterize discovered clusters. Prior network knowledge
 (e.g., public interaction databases) can be included via blacklisting and
 penalization matrices. For clustering, the EM algorithm is employed. For
 structure search at the M-step, the Bayesian approach is used. The output
 includes membership assignments of samples, cluster-specific MAP networks,
 and posterior probabilities of all edges in the discovered networks. In
 addition to likelihood, AIC and BIC scores are returned. They can be used
 for choosing the number of clusters.  References: P. Suter et al. (2021)
 <doi:10.1101/2021.12.16.473083>, J. Kuipers and P. Suter and G. Moffa (2022)
 <doi:10.1080/10618600.2021.2020127>, J. Kuipers et al. (2018)
 <doi:10.1038/s41467-018-06867-x>.

Package: r-cran-bndatagenerator
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bnlearn
Filename: pool/dists/focal/main/r-cran-bndatagenerator_1.0-1.ca2004.1_all.deb
Size: 53728
MD5sum: 9144cdbb60c7f54163af9f7d4ef21cf2
SHA1: 0189418ec56f5d01797f844e34233e4bcf69e817
SHA256: 372bb7d99631d0010153514e1a9622a47d51b056ac1ec6490ec37cdd0c9a0792
SHA512: 3d275567880f5b6983b8dc13ca6d4e45e49663e9ea62f3b18770888644ef98bb5831289e2a2cea5d5944d9847900229055d99a3e2ac2b032ca28930b26594f42
Homepage: https://cran.r-project.org/package=BNDataGenerator
Description: CRAN Package 'BNDataGenerator' (Data Generator based on Bayesian Network Model)
 Data generator based on Bayesian network model

Package: r-cran-bndesr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-lubridate, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bndesr_1.0.4-1.ca2004.1_all.deb
Size: 40456
MD5sum: 4f5f2b83d340f3b1656bc51ba4930477
SHA1: ef24c302db258260300410f8589b9d9254b011be
SHA256: 1b01da376410916b43b620df5b2d9b4d3b3d06df1f75eabe610a4e3e4c7110be
SHA512: 6219d9164d838be1b1903a761ef33695060c49774b0b1eadb4cfdf012466a1bda191d2cc7f0fbdb0eba35abc8d54e8155864672aa03543e5c24d35501c0aa662
Homepage: https://cran.r-project.org/package=bndesr
Description: CRAN Package 'bndesr' (Access Data from the Brazilian Development Bank (BNDES))
 Allows access to data on BNDES disbursements and contracts since 1995. The
 package makes it easy to import data from the bank into
 R.<https://www.bndes.gov.br/SiteBNDES/bndes/bndes_en>.

Package: r-cran-bndovb
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-np, r-cran-pracma, r-cran-mass, r-cran-dplyr, r-cran-factormodel, r-cran-nnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bndovb_1.1-1.ca2004.1_all.deb
Size: 603848
MD5sum: dd66522b6966a57afd986cb30783ec28
SHA1: 3c72c5dfb014d99ad634bd63072bc079011b2890
SHA256: c9cd4231e530ae0e2eb674266b6e892cc8a9f0aead861071202260a5a6773b20
SHA512: e2528b49638f6dd7e2c7a0ce072a4ad23bb1b16d0087ed567cc818d78748f661af9037c83dd44769c7aee50a46ca6cc7a1d26fff7c00a99edeefcc6c31405d24
Homepage: https://cran.r-project.org/package=bndovb
Description: CRAN Package 'bndovb' (Bounding Omitted Variable Bias Using Auxiliary Data)
 Functions to implement a Hwang(2021) <doi:10.2139/ssrn.3866876> estimator,
 which bounds an omitted variable bias using auxiliary data.

Package: r-cran-bnma
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-ggplot2, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bnma_1.6.0-1.ca2004.1_all.deb
Size: 378596
MD5sum: f3936e9c9ce008f35d8ee99c3d1f3b14
SHA1: c916495e70bccc2218b73c7f1184521c4fee6af1
SHA256: 00c3518626abd84a511aefc74905bf431326dac2136dd1c999ec240bf472f571
SHA512: c5cfffe269fd76dbcd64006d05e9232dd3f88827de7353f88ad9cd378fedda14c6f6284c0aa91ec0fb18f0bc88ed04d4ec61796f943e28a75c6764520c377534
Homepage: https://cran.r-project.org/package=bnma
Description: CRAN Package 'bnma' (Bayesian Network Meta-Analysis using 'JAGS')
 Network meta-analyses using Bayesian framework following Dias et al. (2013)
 <DOI:10.1177/0272989X12458724>. Based on the data input, creates prior,
 model file, and initial values needed to run models in 'rjags'. Able to
 handle binomial, normal and multinomial arm-level data. Can handle multi-arm
 trials and includes methods to incorporate covariate and baseline risk
 effects. Includes standard diagnostics and visualization tools to evaluate
 the results.

Package: r-cran-bnmonitor
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 667
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bnlearn, r-cran-dplyr, r-cran-ggplot2, r-cran-grain, r-cran-grbase, r-cran-igraph, r-cran-purrr, r-cran-qgraph, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bnmonitor_0.2.2-1.ca2004.1_all.deb
Size: 465672
MD5sum: dd0affd3e7702258aa684093e8f5c8a4
SHA1: 25cf52c1d582736e8bd6ac8347122bd8dd69e9f6
SHA256: 82508e334d1ae57bf2d3ab34d6a095dd0debaa7c2127db073b57e10d0325643d
SHA512: fce707a5da9c39c337d20eb524c99b9d90720de764fe8aef8acbe04a4e0ee13b10879e5f562f79843902937ae3ffc3adc1164b6f150837b8d7caa0e9c3c93d31
Homepage: https://cran.r-project.org/package=bnmonitor
Description: CRAN Package 'bnmonitor' (An Implementation of Sensitivity Analysis in Bayesian Networks)
 An implementation of sensitivity and robustness methods in Bayesian networks
 in R. It includes methods to perform parameter variations via a variety of
 co-variation schemes, to compute sensitivity functions and to quantify the
 dissimilarity of two Bayesian networks via distances and divergences. It
 further includes diagnostic methods to assess the goodness of fit of a
 Bayesian networks to data, including global, node and parent-child monitors.
 Reference: M. Leonelli, R. Ramanathan, R.L. Wilkerson (2022)
 <doi:10.1016/j.knosys.2023.110882>.

Package: r-cran-bnns
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bh, r-cran-proc, r-cran-rcppeigen, r-cran-rstan
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mlbench, r-cran-ranger, r-cran-rmarkdown, r-cran-rsample, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bnns_0.1.2-1.ca2004.1_all.deb
Size: 179284
MD5sum: ffd361059a1442e33e72d3c447dcf659
SHA1: 89e2175d211121b27e2d42a09fd385e5bedc47dd
SHA256: 6494ce842541087441ee5617604b6887f677d107c951fe20f3186afe7a9e5658
SHA512: 6752a460ecd4189ceac4eb553c4a6d31d203f3cf1c98cda0d57694ba4c34a1a5bce8f866766b6f2cd78fc6369e656b82fd27bc0d6064e94ed7f4ab314ed176e4
Homepage: https://cran.r-project.org/package=bnns
Description: CRAN Package 'bnns' (Bayesian Neural Network with 'Stan')
 Offers a flexible formula-based interface for building and training Bayesian
 Neural Networks powered by 'Stan'. The package supports modeling complex
 relationships while providing rigorous uncertainty quantification via
 posterior distributions. With features like user chosen priors, clear
 predictions, and support for regression, binary, and multi-class
 classification, it is well-suited for applications in clinical trials,
 finance, and other fields requiring robust Bayesian inference and
 decision-making. References: Neal(1996) <doi:10.1007/978-1-4612-0745-0>.

Package: r-cran-bnormnlr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-car, r-cran-coda, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bnormnlr_1.0-1.ca2004.1_all.deb
Size: 31536
MD5sum: 7955193dea64c0ce60eafc81f1bf213f
SHA1: 03eb5180a90c24d219181d5b0b28b835b6d96322
SHA256: d10cc667c8265958543c998697190a99a4a7a99c309cf91dbdd0b052c51c55bb
SHA512: bd9bcb499442e68652637fe372b8a31dcb7723d47f155cd9df2c09988d390e1dcd21bc16e191cdd508dcaf8c167b6a28dbea62b0833985a4551702eea2cc92b9
Homepage: https://cran.r-project.org/package=bnormnlr
Description: CRAN Package 'bnormnlr' (Bayesian Estimation for Normal Heteroscedastic NonlinearRegression Models)
 Implementation of Bayesian estimation in normal heteroscedastic nonlinear
 regression Models following Cepeda-Cuervo, (2001).

Package: r-cran-bnpa
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-fastdummies, r-cran-lavaan, r-bioc-rgraphviz, r-cran-semplot, r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-bnpa_0.3.0-1.ca2004.1_all.deb
Size: 127332
MD5sum: c05960938c057c136c50b999e1679a76
SHA1: 105dd00b4891a09820d7dfcf62421e2c66bc30fd
SHA256: 10984fcc57d8f78c19ad441b20b46472b9e7d1a60b0e1b259d9e5a1f98331c82
SHA512: a16c6cb0f60b9338506c8631d799f62d7abd67dd57d4d95b9f43113d3afc0631333da9b15d80d0fb9ef395e28da80dc7fd99eea1d2f1528d16306c579d1dea31
Homepage: https://cran.r-project.org/package=bnpa
Description: CRAN Package 'bnpa' (Bayesian Networks & Path Analysis)
 This project aims to enable the method of Path Analysis to infer causalities
 from data. For this we propose a hybrid approach, which uses Bayesian
 network structure learning algorithms from data to create the input file for
 creation of a PA model. The process is performed in a semi-automatic way by
 our intermediate algorithm, allowing novice researchers to create and
 evaluate their own PA models from a data set. The references used for this
 project are: Koller, D., & Friedman, N. (2009). Probabilistic graphical
 models: principles and techniques. MIT press.
 <doi:10.1017/S0269888910000275>.  Nagarajan, R., Scutari, M., & Lèbre, S.
 (2013). Bayesian networks in r. Springer, 122, 125-127. Scutari, M., &
 Denis, J. B. <doi:10.1007/978-1-4614-6446-4>.  Scutari M (2010). Bayesian
 networks: with examples in R. Chapman and Hall/CRC. <doi:10.1201/b17065>.
 Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling.
 Journal of Statistical Software, 48(2), 1 - 36. <doi:10.18637/jss.v048.i02>.

Package: r-cran-bnpdensity
Architecture: all
Version: 2023.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4507
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-survival, r-cran-coda, r-cran-dplyr, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-greedyepl, r-cran-rmpfr, r-cran-gmp, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-bnpmix
Filename: pool/dists/focal/main/r-cran-bnpdensity_2023.3.8-1.ca2004.1_all.deb
Size: 4521944
MD5sum: 254b651e813088be1ed5cd9f0c696911
SHA1: 38a4d167bfb9a4ec2c6e62708ab7e7f1f9f492ec
SHA256: 5f76e58d9916fd0a9177e2e1f8e7ae0e719e17f1dca782a70167a0983c2c904b
SHA512: 1a900999cded3262c021ce674b815ba993885e84495cdc2604feca8c8461485ba324b5d81033095629e2b310cccda7f8cde997b5e190b09ff5d79b52810a4e28
Homepage: https://cran.r-project.org/package=BNPdensity
Description: CRAN Package 'BNPdensity' (Ferguson-Klass Type Algorithm for Posterior Normalized RandomMeasures)
 Bayesian nonparametric density estimation modeling mixtures by a
 Ferguson-Klass type algorithm for posterior normalized random measures.

Package: r-cran-bnpsd
Architecture: all
Version: 1.3.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-nnls
Suggests: r-cran-popkin, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-bnpsd_1.3.13-1.ca2004.1_all.deb
Size: 399332
MD5sum: ebf31fa26f5b62ace3fa2aa7cb9a79db
SHA1: fa83948c73f48efc7451e5305ff65900c7104ca6
SHA256: 73ebb1216adb2ba01062f22082f35771395fe06e6d3bb361fc100d62fa3cc0c5
SHA512: 56dd918486ee3640e5019926251a9cb5845dfeb2f18d68b694dc115a00375fef5281495405886e3725378d982f69b88a6a15187eb84dd182524856fff9c76f11
Homepage: https://cran.r-project.org/package=bnpsd
Description: CRAN Package 'bnpsd' (Simulate Genotypes from the BN-PSD Admixture Model)
 The Pritchard-Stephens-Donnelly (PSD) admixture model has k intermediate
 subpopulations from which n individuals draw their alleles dictated by their
 individual-specific admixture proportions.  The BN-PSD model additionally
 imposes the Balding-Nichols (BN) allele frequency model to the intermediate
 populations, which therefore evolved independently from a common ancestral
 population T with subpopulation-specific FST (Wright's fixation index)
 parameters.  The BN-PSD model can be used to yield complex population
 structures.  This simulation approach is now extended to subpopulations
 related by a tree.  Method described in Ochoa and Storey (2021)
 <doi:10.1371/journal.pgen.1009241>.

Package: r-cran-bnptsclust
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bnptsclust_2.0-1.ca2004.1_all.deb
Size: 2096488
MD5sum: 66d45a3e66a3595788ed9aed3c4bb5df
SHA1: 7923db1fcc0f281848b670a5d41ce5a49f3d463f
SHA256: 0e54c344e3b942d5df1ce8083a1b06cb16a403ac9b256dbcf86126fb953e161a
SHA512: 27d7f69705feb4d5ae64d71e70dc05d762b6cae88a1a1d254f328aa9c05ec59ebe6d91fc013c247726f687d45c86c9ad341980e91c9c630bc786d58df453a726
Homepage: https://cran.r-project.org/package=BNPTSclust
Description: CRAN Package 'BNPTSclust' (A Bayesian Nonparametric Algorithm for Time Series Clustering)
 Performs the algorithm for time series clustering described in Nieto-Barajas
 and Contreras-Cristan (2014).

Package: r-cran-bnrep
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2364
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bnlearn, r-cran-dplyr, r-cran-dt, r-bioc-rgraphviz, r-cran-qgraph, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-stringr, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-bnrep_0.0.4-1.ca2004.1_all.deb
Size: 2053540
MD5sum: d922182f2ea62cf0cb1c7b0a522a0098
SHA1: c2c35ee330f4c03a8c7420ef6876553b7e34a9d9
SHA256: 4d1ef5fa44d23c32f5e74b59d2efa37015b0e72c57a9d7882189137cc2401857
SHA512: d2c2246fbde41169045f3c3e7c9870d987235fa7e05b1737a27967824d55e0c33e21350a0ad4e9d51b46f218d423b8f8dbf81d79750bc8624b5af404cefbc901
Homepage: https://cran.r-project.org/package=bnRep
Description: CRAN Package 'bnRep' (A Repository of Bayesian Networks from the Academic Literature)
 A collection of Bayesian networks (discrete, Gaussian, and conditional
 linear Gaussian) collated from recent academic literature. The
 'bnRep_summary' object provides an overview of the Bayesian networks in the
 repository and the package documentation includes details about the
 variables in each network. A Shiny app to explore the repository can be
 launched with 'bnRep_app()' and is available online at
 <https://manueleleonelli.shinyapps.io/bnRep>. Reference: 'M. Leonelli'
 (2025) <doi:10.1016/j.neucom.2025.129502>.

Package: r-cran-bnrich
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 980
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-corpcor, r-cran-glmnet, r-bioc-graph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bnrich_0.1.1-1.ca2004.1_all.deb
Size: 915872
MD5sum: 51da176b99cbadd897daff79272fb35f
SHA1: 98fceef1dc14782108b8f11f6474c14fc0842255
SHA256: 308c9feed1375f5fe1723808357e66795f733aeebd61581af813cc23735b3ed8
SHA512: 62cc601f9accf76b9f68a7dfb0924c975e12b9dbd60b3066046f4908a37cc8b706b1b0a5ff7af738c5d9ca9849093793c2aa7bc2a87d446590cd4889a99d92b8
Homepage: https://cran.r-project.org/package=BNrich
Description: CRAN Package 'BNrich' (Pathway Enrichment Analysis Based on Bayesian Network)
 Maleknia et al. (2020) <doi:10.1101/2020.01.13.905448>. A novel pathway
 enrichment analysis package based on Bayesian network to investigate the
 topology features of the pathways. firstly, 187 kyoto encyclopedia of genes
 and genomes (KEGG) human non-metabolic pathways which their cycles were
 eliminated by biological approach, enter in analysis as Bayesian network
 structures. The constructed Bayesian network were optimized by the Least
 Absolute Shrinkage Selector Operator (lasso) and the parameters were learned
 based on gene expression data. Finally, the impacted pathways were enriched
 by Fisher’s Exact Test on significant parameters.

Package: r-cran-bnspatial
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2057
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-sf, r-cran-grbase, r-cran-grain, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bnspatial_1.1.1-1.ca2004.1_all.deb
Size: 424092
MD5sum: 20f0036000dbe1192204814819becee5
SHA1: 272152a1d1a6da9842cfb0df8e5daf4d7954680e
SHA256: 222cc13dd36ece9eb8fbe684d0e96a1e07b7e273590d69978c2d385409cca4b1
SHA512: 5a07a219adc995b362d26e436f7dc5b06206ae28a592ae02166872cafa7cd9f9e0a5c37e7735195f382a949b2a219810e241282b59149a90474227a855c64fdf
Homepage: https://cran.r-project.org/package=bnspatial
Description: CRAN Package 'bnspatial' (Spatial Implementation of Bayesian Networks and Mapping)
 Allows spatial implementation of Bayesian networks and mapping in
 geographical space. It makes maps of expected value (or most likely state)
 given known and unknown conditions, maps of uncertainty measured as
 coefficient of variation or Shannon index (entropy), maps of probability
 associated to any states of any node of the network. Some additional
 features are provided as well: parallel processing options, data
 discretization routines and function wrappers designed for users with
 minimal knowledge of the R language. Outputs can be exported to any common
 GIS format.

Package: r-cran-bnviewer
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-visnetwork, r-cran-bnlearn, r-cran-igraph, r-cran-shiny, r-cran-assertthat, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-bnviewer_0.1.6-1.ca2004.1_all.deb
Size: 65420
MD5sum: 808616430e3cabf8f77d6b4cf4025f9c
SHA1: 9fa8c084fe03c1ebff445a5c4b4266bb9333e5aa
SHA256: 4fe7a7fcc296575675af042d8b4175754aa854b473efbc4d49756715e75193b7
SHA512: e613aa1d4bd4c22d1ccdae348c905105af7d25ad5c8a5e5437e1fa95f1ce37d1a12e769dee0a8506c3fd945377b9e908bae920ce261b685a30dd8f0b4ab3f02c
Homepage: https://cran.r-project.org/package=bnviewer
Description: CRAN Package 'bnviewer' (Bayesian Networks Interactive Visualization and ExplainableArtificial Intelligence)
 Bayesian networks provide an intuitive framework for probabilistic reasoning
 and its graphical nature can be interpreted quite clearly. Graph based
 methods of machine learning are becoming more popular because they offer a
 richer model of knowledge that can be understood by a human in a graphical
 format. The 'bnviewer' is an R Package that allows the interactive
 visualization of Bayesian Networks.  The aim of this package is to improve
 the Bayesian Networks visualization over the basic and static views offered
 by existing packages.

Package: r-cran-boa
Architecture: all
Version: 1.1.8-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-boa_1.1.8-2-1.ca2004.1_all.deb
Size: 236180
MD5sum: 337db26222e3c974c56690ff6d1e7328
SHA1: 06d228edb898c2f152856cf92d772bc57c2a72ba
SHA256: 3b882a954275bde913abe1ee598c19ac60a6436feef6005d011ce6210bacd30b
SHA512: f8b0cc395933c3fd8f0e726bf65781e591db90ec456a82f73af5d2f130d4ef6e2523d6936677acd06e950851d49debde1e31bdcdb26cc0ce64a394c8887ac5d2
Homepage: https://cran.r-project.org/package=boa
Description: CRAN Package 'boa' (Bayesian Output Analysis Program (BOA) for MCMC)
 A menu-driven program and library of functions for carrying out convergence
 diagnostics and statistical and graphical analysis of Markov chain Monte
 Carlo sampling output.

Package: r-cran-boardgames
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-boardgames_1.0.0-1.ca2004.1_all.deb
Size: 36728
MD5sum: 062ae5e28b7b6da07da66c7915a36fac
SHA1: edce830a449e50b36af1a7a70a96c6d5700eba60
SHA256: c05c4e9452d4227f180f8a7e8f36005cdedaa8f9d95c860b5036661b7a44afdf
SHA512: 85523c9b7af179619ebf3c5e5e806302f70a00742cbd5e703fdcc212e2bde26ec3a5b01bbd94ac25fc58e9af580751f19057d0e086520439d6207a80f63aa1e2
Homepage: https://cran.r-project.org/package=BoardGames
Description: CRAN Package 'BoardGames' (Board Games and Tools for Building Board Games)
 Tools for constructing board/grid based games, as well as readily available
 game(s) for your entertainment.

Package: r-cran-bodenmiller
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7321
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-cytofan, r-cran-dplyr, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bodenmiller_0.1.1-1.ca2004.1_all.deb
Size: 7405596
MD5sum: d4ac6ad15cbdf760494a25f66110dff3
SHA1: 0f5ab4a90bb65807255562ecc698eea1a11ea626
SHA256: 6da2b1f7b4d779994bc2ede97d71d14bf7f3341b14d00dabb658dae0f78631ad
SHA512: 4c76cc523bb47ef129ec3dae212d968a1d98eece99ef0f123502ff956a89eecec531d87e25d552c8db459d55f109c8f2e53a451afd3ccea6703935d098608e66
Homepage: https://cran.r-project.org/package=bodenmiller
Description: CRAN Package 'bodenmiller' (Profiling of Peripheral Blood Mononuclear Cells using CyTOF)
 This data package contains a subset of the Bodenmiller et al, Nat Biotech
 2012 dataset for testing single cell, high dimensional analysis and
 visualization methods.

Package: r-cran-bodi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-ranger, r-cran-rpart, r-cran-gbm, r-cran-opera
Filename: pool/dists/focal/main/r-cran-bodi_0.1.0-1.ca2004.1_all.deb
Size: 24364
MD5sum: 5977a91a65b02c5ca07e62276e83890d
SHA1: fb46cc11ee307cec69333c31c15514a3e8be2bee
SHA256: e6fdbc9f2484f28029cdb6f4605162cfbb9cc01e4fdf7500a58dcb595fe4bd4d
SHA512: 295d79b2ad4204580224828497a3050d55fd7ada20a2e7f3749cfe5dd51682895427756564a6864c5f97bb8e04e559885e7d30f0fbdec750a4ecbcca57550681
Homepage: https://cran.r-project.org/package=Bodi
Description: CRAN Package 'Bodi' (Boosting Diversity in Regression Ensembles)
 A gradient boosting-based algorithm by incorporating a diversity term to
 guide the gradient boosting iterations, see Bourel, Cugliari, Goude, Poggi
 (2021) <https://hal.archives-ouvertes.fr/hal-03041309/>.

Package: r-cran-bodsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bodsr_0.1.0-1.ca2004.1_all.deb
Size: 54228
MD5sum: fcb7b9a7735bc4ead22b6eb391ae32a4
SHA1: ce31c510f8aab822a3af2c929e3679d643e67c8a
SHA256: 8965e0af3e3e2c3e330775b5732eeb98b4947889955248d12a25db3cb8f53015
SHA512: 253628e21e8fddd5462c4c32b526acf02163b49f9b2fe236a64880dcd7337acbccaaeb9f174984966c79ce0474b53412305a3f0001dfea01c963b7c3bdb08f0a
Homepage: https://cran.r-project.org/package=bodsr
Description: CRAN Package 'bodsr' (Call the Bus Open Data Service ('BODS') API Through R)
 A wrapper to allow users to download Bus Open Data Service 'BODS' transport
 information from the API (<https://www.bus-data.dft.gov.uk/>).  This
 includes timetable and fare metadata (including links for full datasets),
 timetable data at line level, and real-time location data.

Package: r-cran-bodycomp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bodycomp_1.0.0-1.ca2004.1_all.deb
Size: 69464
MD5sum: e02aa7112e5c2d487d0310c5041cdaff
SHA1: 965169915e1d0c1af7c7c6da20fe91591ff2322c
SHA256: 0a250fc41c4888a31cb8e9d534c3265ce14ba06ab6c41247288908a92a4372bb
SHA512: 85cb0e6a0ed8f506795899aefe9cd025fa35d0837535f036473fe9e856f2cd4a40b94c87da2ae517534db276362647a91eb6ad3d633b9f685d36ba3a5b9f6597
Homepage: https://cran.r-project.org/package=bodycomp
Description: CRAN Package 'bodycomp' (Percent Body Fat Values Using Anthropometric PredictionEquations)
 Skinfold measurements is one of the most popular and practical methods for
 estimating percent body fat. Body composition is a term that describes the
 relative proportions of fat, bone, and muscle mass in the human body.
 Following the collection of skinfold measurements, regression analysis (a
 statistical procedure used to predict a dependent variable based on one or
 more independent or predictor variables) is used to estimate total percent
 body fat in humans. <doi:10.4324/9780203868744>.

Package: r-cran-bodycompref
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-gamlss, r-cran-sae
Suggests: r-cran-testthat, r-cran-usethis, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bodycompref_2.0.1-1.ca2004.1_all.deb
Size: 61052
MD5sum: 39c73133cc36fabda20c65c0548682da
SHA1: 3a63e083f1719b1587f62258c2a1e8c8ef05e73a
SHA256: 44436f5e2431e259d3be48c08a910c1b572cb58d40094eae0c61abe85708d055
SHA512: 09747f3b7fd6de359073db3612657ec6c2ed3045af1ff6be3e25fe35afe8b39fb8cfda3f927cdea47bfb6d3aa709fde367f49185947b25abdfee13fdc752a28c
Homepage: https://cran.r-project.org/package=bodycompref
Description: CRAN Package 'bodycompref' (Reference Values for CT-Assessed Body Composition)
 Get z-scores, percentiles, absolute values, and percent of predicted of a
 reference cohort.  Functionality requires installing the data packages
 'adiposerefdata' and 'musclerefdata'.  For more information on the
 underlying research, please visit our website which also includes a
 graphical interface.  The models and underlying data are described in
 Marquardt JP et al.(planned publication 2025; reserved doi
 10.1097/RLI.0000000000001104), "Subcutaneous and Visceral adipose tissue
 Reference Values from Framingham Heart Study Thoracic and Abdominal CT",
 *Investigative Radiology* and Tonnesen PE et al. (2023), "Muscle Reference
 Values from Thoracic and Abdominal CT for Sarcopenia Assessment [column] The
 Framingham Heart Study", *Investigative Radiology*,
 <doi:10.1097/RLI.0000000000001012>.

Package: r-cran-boggy
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-boggy_0.0.1-1.ca2004.1_all.deb
Size: 86584
MD5sum: 3ccc355c2cff2f8b8f68172a953d97fb
SHA1: ee62548f6747066e50afa0a81687840313eddc3e
SHA256: c0db0767e0fe757179fad547497a1ff712914a9942d057b107c1441659f27442
SHA512: 9685c86a9012d550a949a038e2890387ef7483b0814821c76d6e57e7841160e35fe4579848ad13f5d5bbbfc0e4f622e3cc341eb464b2bb67ba7a14efc08fadc6
Homepage: https://cran.r-project.org/package=boggy
Description: CRAN Package 'boggy' (Real-Time PCR Data Sets by Boggy et al. (2010))
 Real-time quantitative polymerase chain reaction (qPCR) data sets by Boggy
 et al. (2008) <doi:10.1371/journal.pone.0012355>. This package provides a
 dilution series for one PCR target: a random sequence that minimizes
 secondary structure and off-target primer binding. The data set is a
 six-point, ten-fold dilution series.  For each concentration there are two
 replicates. Each amplification curve is 40 cycles long. Original raw data
 file:
 <https://journals.plos.org/plosone/article/file?type=supplementary&id=10.1371/journal.pone.0012355.s004>.

Package: r-cran-boilerpiper
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1728
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Suggests: r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-boilerpiper_1.3.2-1.ca2004.1_all.deb
Size: 1556484
MD5sum: 2776d27ab1f7028c36efee90495fcdf8
SHA1: 2424d8e85750f049ce45d993fce664501b51107b
SHA256: 58ff6d9639cdcfbd14e9042fccb6a15a1cb146d0011c60540aa22eaa7a8ea90c
SHA512: 262e835401294e74d317f508d9db0133cbbbbb3bdcae85a39737902cf67d76d711477838d68b9c3987b45b3f45f3e696f636e7f7aa0a4cc7ba21744ab268e8db
Homepage: https://cran.r-project.org/package=boilerpipeR
Description: CRAN Package 'boilerpipeR' (Interface to the Boilerpipe Java Library)
 Generic Extraction of main text content from HTML files; removal of ads,
 sidebars and headers using the boilerpipe
 <https://github.com/kohlschutter/boilerpipe> Java library. The extraction
 heuristics from boilerpipe show a robust performance for a wide range of web
 site templates.

Package: r-cran-boilerplate
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1608
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-digest, r-cran-jsonlite, r-cran-jsonvalidate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boilerplate_1.3.0-1.ca2004.1_all.deb
Size: 878372
MD5sum: 922b82543dc68ef593f3816382568e80
SHA1: 87ce2aa1d21b463670b3d48aa556bad47d2ace8b
SHA256: 4a13f1f984536c99f9c2a94301a2244df4d0196f02ee2597ecce749300dac831
SHA512: bb28c60a16947b7a45f7082b2d451fac398457768cafdc1913d9b59c49d259840673c03750a7021846c9ac2711ee098e2446ba119823b57b7d8aa5252b04ddec
Homepage: https://cran.r-project.org/package=boilerplate
Description: CRAN Package 'boilerplate' (Managing and Compiling Manuscript Templates)
 Managing and generating standardised text for methods and results sections
 of scientific reports. It handles template variable substitution and
 supports hierarchical organisation of text through dot-separated paths. The
 package supports both RDS and JSON database formats, enabling version
 control and cross-language compatibility.

Package: r-cran-boin
Architecture: all
Version: 2.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso
Filename: pool/dists/focal/main/r-cran-boin_2.7.2-1.ca2004.1_all.deb
Size: 200628
MD5sum: 6f57d960a4447c11c8076d2c0147d50d
SHA1: 0c9f5f795cb997c5c473838e2834f2f09bbaadf8
SHA256: d8824033cba6aa8abda3270ede54b8b6923cf89a893f7cdeafe62a28158e6d1f
SHA512: 0f755dda8a1e73c0a1befb23d76efed722d539934d286fe92ea2a3a54256f9cecc49abc0fe72d4ab191abbb3aad20dc7b673170b77f99adaf8607aa5d05c8d97
Homepage: https://cran.r-project.org/package=BOIN
Description: CRAN Package 'BOIN' (Bayesian Optimal INterval (BOIN) Design for Single-Agent andDrug- Combination Phase I Clinical Trials)
 The Bayesian optimal interval (BOIN) design is a novel phase I clinical
 trial design for finding the maximum tolerated dose (MTD). It can be used to
 design both single-agent and drug-combination trials. The BOIN design is
 motivated by the top priority and concern of clinicians when testing a new
 drug, which is to effectively treat patients and minimize the chance of
 exposing them to subtherapeutic or overly toxic doses. The prominent
 advantage of the BOIN design is that it achieves simplicity and superior
 performance at the same time. The BOIN design is algorithm-based and can be
 implemented in a simple way similar to the traditional 3+3 design. The BOIN
 design yields an average performance that is comparable to that of the
 continual reassessment method (CRM, one of the best model-based designs) in
 terms of selecting the MTD, but has a substantially lower risk of assigning
 patients to subtherapeutic or overly toxic doses. For tutorial, please check
 Yan et al. (2020) <doi:10.18637/jss.v094.i13>.

Package: r-cran-boinet
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-iso, r-cran-mfp, r-cran-copula, r-cran-gt, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-boinet_1.4.0-1.ca2004.1_all.deb
Size: 287148
MD5sum: dd6063389a0c19c9baa90fcef45306da
SHA1: d42750d030ed5da129be47b9f7f9373d8d5e5f36
SHA256: e12d9b9c41db771d6f65639168bfb625e7c99c4734ec4ba580d957b5bec3b20a
SHA512: 64d803fa303a1bba0b07feb36512ca1dfea2557822bea8e522697e4dba281d7841b9039c68ab8bfd5c73dbf71212f268634cea87cdf89d60d320a2db588372b0
Homepage: https://cran.r-project.org/package=boinet
Description: CRAN Package 'boinet' (Conduct Simulation Study of Bayesian Optimal Interval Designwith BOIN-ET Family)
 Bayesian optimal interval based on both efficacy and toxicity outcomes
 (BOIN-ET) design is a model-assisted oncology phase I/II trial design,
 aiming to establish an optimal biological dose accounting for efficacy and
 toxicity in the framework of dose-finding. Some extensions of BOIN-ET design
 are also available to allow for time-to-event efficacy and toxicity outcomes
 based on cumulative and pending data (time-to-event BOIN-ET: TITE-BOIN-ET),
 ordinal graded efficacy and toxicity outcomes (generalized BOIN-ET:
 gBOIN-ET), and their combination (TITE-gBOIN-ET). 'boinet' is a package to
 implement the BOIN-ET design family and supports the conduct of simulation
 studies to assess operating characteristics of BOIN-ET, TITE-BOIN-ET,
 gBOIN-ET, and TITE-gBOIN-ET, where users can choose design parameters in
 flexible and straightforward ways depending on their own application.

Package: r-cran-boiwsa
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forecast, r-cran-ggplot2, r-cran-hmisc, r-cran-lubridate, r-cran-tidyr, r-cran-rlang, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-boiwsa_1.1.3-1.ca2004.1_all.deb
Size: 257164
MD5sum: 285e71f59078a5255a3744347735807a
SHA1: 38230b4541f2565c16ef07b5bbf8a3ed4bd272c7
SHA256: 7bb2a1e05e17cbe771e9282aef31b303c2d7a9faae5bb220c56ea370260bf720
SHA512: feb2a8c2bef833663e5d1c5f4b48ad39833dddb485159a152764eab49144ae93cdf418eda4949b7431bd97cc3b4d9722cda6fe818349b1c3b7c8922eccbbb255
Homepage: https://cran.r-project.org/package=boiwsa
Description: CRAN Package 'boiwsa' (Seasonal Adjustment of Weekly Data)
 Perform seasonal adjustment of weekly data. The package provides a
 user-friendly interface for computing seasonally adjusted estimates of
 weekly data and includes functions for the creation of country-specific
 prior adjustment variables, as well as diagnostic tools to assess the
 quality of the adjustments. The method is described in more detail in Ginker
 (2023) <doi:10.13140/RG.2.2.12221.44000>.

Package: r-cran-boj
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-tidyselect, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-boj_0.3.4-1.ca2004.1_all.deb
Size: 25772
MD5sum: e66bd51f50dd999f650c4279b28b8577
SHA1: 74c5f39cd8abd45de72372118a1d38e561fb3042
SHA256: 12e9f8d7a8c3906b6af561943171ed7a8ada9ae7925760db82bcfad960a6229a
SHA512: 53f7fdb15684b3923e34a2d039633d2b7701a1861c532af576bb5424603b634932c4a2e85f546ee515fc3410d0ed14f69b0d1d3fb1c6847bceab570c7ebe8c51
Homepage: https://cran.r-project.org/package=BOJ
Description: CRAN Package 'BOJ' (Interface to Bank of Japan Statistics)
 Provides an interface to Bank of Japan <https://www.boj.or.jp> statistics.

Package: r-cran-bolasso
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-future.apply, r-cran-gamlr, r-cran-generics, r-cran-ggplot2, r-cran-glmnet, r-cran-progressr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-mlbench, r-cran-covr
Filename: pool/dists/focal/main/r-cran-bolasso_0.3.0-1.ca2004.1_all.deb
Size: 3978052
MD5sum: 82001af0810319ef3861a39194a123cf
SHA1: 8f9fb7027f308f31661e58198b9ece12ae6ed722
SHA256: 29b2922e6507acac98736cf4fc1dffda95060f3509a684d29aac8c87b349fb88
SHA512: 41c53bfa5b20b34459dc465712d140f90c5f6189f0eb75179bb3958efa8458d65cc92962bf69f804bd75f243cb691a222c66396728634b93b894a606dfa238f8
Homepage: https://cran.r-project.org/package=bolasso
Description: CRAN Package 'bolasso' (Model Consistent Lasso Estimation Through the Bootstrap)
 Implements the bolasso algorithm for consistent variable selection and
 estimation accuracy. Includes support for many parallel backends via the
 future package. For details see: Bach (2008), 'Bolasso: model consistent
 Lasso estimation through the bootstrap', <doi:10.48550/arXiv.0804.1302>.

Package: r-cran-bold
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-crul, r-cran-stringi, r-cran-jsonlite, r-cran-data.table
Suggests: r-bioc-sangerseqr, r-cran-testthat, r-cran-vcr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-bold_1.3.0-1.ca2004.1_all.deb
Size: 152272
MD5sum: b7b42f1d833fb4ee0de919286bcfc3de
SHA1: 06d69a34657533d049be351387e1f54816a4a471
SHA256: b38cfb6809a0b48b551d8fe1adaf1239aeb21132faa70eefe8cfe00eb5fab1be
SHA512: 145383fd868dc3f8ff32a7e3661e3ca05f18f858dd46f0fa9ac0db6b35e80ca6b4b7730a28cd5d8486aa6caf98986a464537cad5808e0e7529300f7500c39349
Homepage: https://cran.r-project.org/package=bold
Description: CRAN Package 'bold' (Interface to Bold Systems API)
 A programmatic interface to the Web Service methods provided by Bold Systems
 (<http://www.boldsystems.org/>) for genetic 'barcode' data.  Functions
 include methods for searching by sequences by taxonomic names, ids,
 collectors, and institutions; as well as a function for searching for
 specimens, and downloading trace files.

Package: r-cran-bolsec
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rvest, r-cran-formattable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bolsec_0.1.1-1.ca2004.1_all.deb
Size: 161416
MD5sum: e6dc16680ed00596e6ee18d8290a8df2
SHA1: c0123280fce432c62325de7d06e3391dd24b3bbe
SHA256: d7413f35dfaf7831bdace6dc90a1dee8a2b8764a5eec6320375cc197cdbd4c44
SHA512: 5857c7263b9115e6c0f7b0608e6628f4d7b80e2e2924a8f65e182d6acbdfc81cd4d1d506133ac7592584a7453b36d0521823a580b44f8d75ec3d24f0bafef77b
Homepage: https://cran.r-project.org/package=bolsec
Description: CRAN Package 'bolsec' (Bolivian Securities)
 Provides data import and offers 3 daily snapshot functions from securities
 of varying prices traded on the Bolivian Securities Exchange, website
 <https://www.bbv.com.bo/>. The snapshots include a detailed list, scatter
 plot correlation, and descriptive statistics table for the securities.

Package: r-cran-bolstad2
Architecture: all
Version: 1.0-29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bolstad2_1.0-29-1.ca2004.1_all.deb
Size: 139396
MD5sum: eae80a019b50a285d5294d98cbaae4dc
SHA1: b4e003346de7cdc9f5c677edd2474e9225d1ec9e
SHA256: e8adc39a1ccef85f6f9728368661ff1f77aac51807d25471719052434ac0e109
SHA512: bab856b34274fb84bcea02ffba6090ede72e4a57dfc4b7956a08b401ea1f2a0b18b8f040c97895b041e524c4d06435a4711a0bda09fadd01d678213378ed5445
Homepage: https://cran.r-project.org/package=Bolstad2
Description: CRAN Package 'Bolstad2' (Bolstad Functions)
 A set of R functions and data sets for the book "Understanding Computational
 Bayesian Statistics." This book was written by Bill (WM) Bolstad and
 published in 2009 by John Wiley & Sons (ISBN 978-0470046098).

Package: r-cran-bolstad
Architecture: all
Version: 0.2.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bolstad_0.2.42-1.ca2004.1_all.deb
Size: 278336
MD5sum: 00ebc9743144cd316f25a297e238c80a
SHA1: 9abe2c1f68d9e7f8c6111b49102cf1a267d134c1
SHA256: 673731d1e28cd401816fb0a81b5323ba9f602ecc9ccef19fb6b22d3166b073d1
SHA512: 55be62c9e515febc66dcf5b165c831d50d8ceb41cb32aa57781e49a403bcef0882793f5007a46df11d4632c3c8b4c2df7c369609dcc298131bd67e37d9bf6c65
Homepage: https://cran.r-project.org/package=Bolstad
Description: CRAN Package 'Bolstad' (Functions for Elementary Bayesian Inference)
 A set of R functions and data sets for the book Introduction to Bayesian
 Statistics, Bolstad, W.M. (2017), John Wiley & Sons ISBN 978-1-118-09156-2.

Package: r-cran-bolt4jr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-glue, r-cran-purrr, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bolt4jr_1.4.0-1.ca2004.1_all.deb
Size: 28424
MD5sum: ba8c266b522dcedaa8c9128e38ec90f7
SHA1: a9f271c38858aec68ff4a39f77e35a7536c7f065
SHA256: afa8e3f53b21aea05008728fcaf477f87eb75275bc441f80fa5ac7e7cbe1c560
SHA512: 55b79c27197733023d85d54e66552f559c17cd584c67811304362050799a85b4606fef62e70ee1ab1c56020c2b2750b9d5078665cc39b9f1c8b99655d4dd0b4e
Homepage: https://cran.r-project.org/package=bolt4jr
Description: CRAN Package 'bolt4jr' (Interface for the 'Neo4j Bolt' Protocol)
 Querying, extracting, and processing large-scale network data from Neo4j
 databases using the 'Neo4j Bolt' <https://neo4j.com/docs/bolt/current/bolt/>
 protocol. This interface supports efficient data retrieval, batch processing
 for large datasets, and seamless conversion of query results into R data
 frames, making it ideal for bioinformatics, computational biology, and other
 graph-based applications.

Package: r-cran-bondanalyst
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-bondanalyst_1.0.1-1.ca2004.1_all.deb
Size: 205484
MD5sum: fb185a9326491942fc61f0648286aa99
SHA1: 8f8cb8b46c58b21a1db671dc341894961b8c2bde
SHA256: a33535f24462001e1bc9974f5620c7a21885a5f184b1b5bc8d9e05e871b98994
SHA512: adf34d0600fd8c2a49542a0ba1be2dccee8193f17e141cce9ce4e3c716cec44aedcb266b2f4d81c888a3102b14dd335363054f3b6e8089686398e9fd56734b8f
Homepage: https://cran.r-project.org/package=bondAnalyst
Description: CRAN Package 'bondAnalyst' (Methods for Fixed-Income Valuation, Risk and Return)
 Bond Pricing and Fixed-Income Valuation of Selected Securities included here
 serve as a quick reference of Quantitative Methods for undergraduate courses
 on Fixed-Income and CFA Level I Readings on Fixed-Income Valuation, Risk and
 Return.  CFA Institute ("CFA Program Curriculum 2020 Level I Volumes 1-6.
 (Vol. 5, pp. 107-151, pp. 237-299)", 2019, ISBN: 9781119593577).  Barbara S.
 Petitt ("Fixed Income Analysis", 2019, ISBN: 9781119628132).  Frank J.
 Fabozzi ("Handbook of Finance: Financial Markets and Instruments", 2008,
 ISBN: 9780470078143).  Frank J. Fabozzi ("Fixed Income Analysis", 2007,
 ISBN: 9780470052211).

Package: r-cran-boneprofiler
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-imager, r-cran-helpersmg, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Suggests: r-cran-tiff, r-cran-ijtiff, r-cran-openxlsx, r-cran-scatterplot3d, r-cran-spatstat.geom, r-cran-sp
Filename: pool/dists/focal/main/r-cran-boneprofiler_3.1-1.ca2004.1_all.deb
Size: 454464
MD5sum: cad0773ce495ab3aa9784e1ffe93a252
SHA1: f20f83f0216d867c7927d2285ad39814f6b51af4
SHA256: c3f4c6429248fccf66126ab6176a6a64089d4a3781516248289a671335bbcee4
SHA512: 6fd440b6b4d4d862b5edac798ccf8d711f80729b39fcd657e2cd2b5230559b1b30f4d4b29f366466bf8939e64e5700410eff80468d01cebc6d8d3abaf9b0b248
Homepage: https://cran.r-project.org/package=BoneProfileR
Description: CRAN Package 'BoneProfileR' (Tools to Study Bone Compactness)
 Bone Profiler is a scientific method and a software used to model bone
 section for paleontological and ecological studies. See Girondot and Laurin
 (2003)
 <https://www.researchgate.net/publication/280021178_Bone_profiler_A_tool_to_quantify_model_and_statistically_compare_bone-section_compactness_profiles>
 and Gônet, Laurin and Girondot (2022)
 <https://palaeo-electronica.org/content/2022/3590-bone-section-compactness-model>.

Package: r-cran-bonev
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-qvalue
Filename: pool/dists/focal/main/r-cran-bonev_1.0-1.ca2004.1_all.deb
Size: 110580
MD5sum: 3b28ff9f5aebe27b35121ca7cf2cea5c
SHA1: c00e4727ad888388755f0044ab71a1270be0b5c0
SHA256: 0a465dc453e3557429262049100862d8823c0e4fb5fd09d108d42013ec77ac77
SHA512: 478de03488b34db3bf10e89ddcd71775c39ea72bc5e16caa9edbfd4048e7b8adbff8e7ae9dddacd957b76f0883360ab75d9f10f8f5d0b81d75771d1ca97376b0
Homepage: https://cran.r-project.org/package=BonEV
Description: CRAN Package 'BonEV' (An Improved Multiple Testing Procedure for Controlling FalseDiscovery Rates)
 An improved multiple testing procedure for controlling false discovery rates
 which is developed based on the Bonferroni procedure with integrated
 estimates from the Benjamini-Hochberg procedure and the Storey's q-value
 procedure. It controls false discovery rates through controlling the
 expected number of false discoveries.

Package: r-cran-bonn
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-bonn_1.0.2-1.ca2004.1_all.deb
Size: 26832
MD5sum: b87f7f79f9417c7978752f598a8d5c79
SHA1: 37967152ee75b28467047f826b3c2908dd9b2f2f
SHA256: 9a04b2e0fd6e7d59b0dd920a0a6ab94595170bdc94868c4f892f1bf853fc5b98
SHA512: f976fcfa75d9c7ed9f30564e7ce3bdb5c33f71b8f3fff91211f082e8be1594e1b9fcbae5457a43e8be62815a67ed1410ba4f49b0155365d7bed6e7aa4e632e20
Homepage: https://cran.r-project.org/package=bonn
Description: CRAN Package 'bonn' (Access INKAR Database)
 Retrieve and import data from the INKAR database (Indikatoren und Karten zur
 Raum- und Stadtentwicklung Datenbank, <https://www.inkar.de>) of the Federal
 Office for Building and Regional Planning (BBSR) in Bonn using their JSON
 API.

Package: r-cran-bonsai
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-parsnip, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-aorsf, r-cran-covr, r-cran-knitr, r-cran-lightgbm, r-cran-matrix, r-cran-modeldata, r-cran-partykit, r-cran-rmarkdown, r-cran-rsample, r-cran-testthat, r-cran-tune
Filename: pool/dists/focal/main/r-cran-bonsai_0.4.0-1.ca2004.1_all.deb
Size: 196292
MD5sum: fe731683af045535b91c5e34a4196bf7
SHA1: d12c60889b4b989065ae6db7f2864e66670011cd
SHA256: 8bb997699dd14f98902b0396d826263e5bb21f7cc7695047f3b6cc52e7cbb904
SHA512: 19a618983db13b34d079eadf58f1a8867894f08935ec4523af09b921e8a84d2e09989f8a797c7ec671ae3ec59649e816c07ad8c6327a0b5b14c155c069fe7b54
Homepage: https://cran.r-project.org/package=bonsai
Description: CRAN Package 'bonsai' (Model Wrappers for Tree-Based Models)
 Bindings for additional tree-based model engines for use with the 'parsnip'
 package. Models include gradient boosted decision trees with 'LightGBM' (Ke
 et al, 2017.), conditional inference trees and conditional random forests
 with 'partykit' (Hothorn and Zeileis, 2015.  and Hothorn et al, 2006.
 <doi:10.1198/106186006X133933>), and accelerated oblique random forests with
 'aorsf' (Jaeger et al, 2022 <doi:10.5281/zenodo.7116854>).

Package: r-cran-bookdown
Architecture: all
Version: 0.43-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1968
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-jquerylib, r-cran-xfun, r-cran-tinytex, r-cran-yaml
Suggests: r-cran-bslib, r-cran-downlit, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-curl, r-cran-rstudioapi, r-cran-miniui, r-cran-rsconnect, r-cran-servr, r-cran-shiny, r-cran-tibble, r-cran-testit, r-cran-tufte, r-cran-xml2, r-cran-webshot, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bookdown_0.43-1.ca2004.1_all.deb
Size: 982732
MD5sum: 4e1f3f4609f2827178ed908a5a2587b6
SHA1: 411453851da2be38e3fb068fbcbe14925d3d3489
SHA256: 4f82819f3eb3205f8f7aa8918655797ec2285a59e5dce60fc0cd0dcf39399a76
SHA512: 24be05fb581bf7f3840a3a7c82f97446f95aa35bfcb86fb5af9ed26c9d78941b77fff54f2c7eaa7b65d9359b10f7f0bf5be35dc516777c21d1fd6518b8ce0339
Homepage: https://cran.r-project.org/package=bookdown
Description: CRAN Package 'bookdown' (Authoring Books and Technical Documents with R Markdown)
 Output formats and utilities for authoring books and technical documents
 with R Markdown.

Package: r-cran-bookdownplus
Architecture: all
Version: 1.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bookdown, r-cran-xaringan, r-cran-magick, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bookdownplus_1.5.8-1.ca2004.1_all.deb
Size: 722208
MD5sum: c4c2bd269b82b9738fe060c8090f6fed
SHA1: 41d905a23fda110e7337bedd7e4b865e851d6df4
SHA256: 9bcc067a82b6caa93020341509e6015030453f86810ce44cbbf013cb2f140e65
SHA512: 4f93b4f7eb678e24f0a36bd2421026b14b475d090f4c3f27fc8b75bd3a76dcad1bb9c3f6edbd02baa5a73fc2ca32063a03814566a8d121ba58741d8dae63b8ce
Homepage: https://cran.r-project.org/package=bookdownplus
Description: CRAN Package 'bookdownplus' (Generate Assorted Books and Documents with R 'bookdown' Package)
 A collection and selector of R 'bookdown' templates. 'bookdownplus' helps
 you write academic journal articles, guitar books, chemical equations,
 mails, calendars, and diaries. R 'bookdownplus' extends the features of
 'bookdown', and simplifies the procedure. Users only have to choose a
 template, clarify the book title and author name, and then focus on writing
 the text. No need to struggle in 'YAML' and 'LaTeX'.

Package: r-cran-booklet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-factoextra, r-cran-factominer, r-cran-knitr, r-cran-renv, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-booklet_1.0.0-1.ca2004.1_all.deb
Size: 266272
MD5sum: 60da6e32e22059dae458da05609413e3
SHA1: 7ddf2e9904ac87b30d2b73ebe98701da737878bd
SHA256: c745c4890cb9abf3ad3a5f644e68b14c10f8b898f8f5558c25ce114ff610754c
SHA512: ba39fe7d84a15fcbac7a15b7f5ee9e58c6bead0c20adb47ce13eec6edf880774e6c8844bdcc93af580a4da75f283cf956c87d49d5dadb8ad622712cf7193d72a
Homepage: https://cran.r-project.org/package=booklet
Description: CRAN Package 'booklet' (Multivariate Exploratory Data Analysis)
 Exploratory data analysis methods to summarize, visualize and describe
 datasets. The main principal component methods are available, those with the
 largest potential in terms of applications: principal component analysis
 (PCA) when variables are quantitative, correspondence analysis (CA) when
 variables are categorical, Multiple Factor Analysis (MFA) when variables are
 structured in groups.

Package: r-cran-boolfilter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlab, r-cran-boolnet
Filename: pool/dists/focal/main/r-cran-boolfilter_1.0.0-1.ca2004.1_all.deb
Size: 334568
MD5sum: a95c11f26627f7cd557c983492880920
SHA1: 89992d16af468116ceb82ef221b91941ab94ed8d
SHA256: 9e3183a600c6829f0457c337c95ce7142c63a63ad2b3f239e80a07eaa0e60b27
SHA512: b520e61e51a662d4a3f0aa313cec30a8d61e9bb3e13a5eb4c3ba8eb3c8d446d52b1a57813bcded666d66f6716f3fd7bc6facba91bdcf9071c05d84e946d61cc3
Homepage: https://cran.r-project.org/package=BoolFilter
Description: CRAN Package 'BoolFilter' (Optimal Estimation of Partially Observed Boolean DynamicalSystems)
 Tools for optimal and approximate state estimation as well as network
 inference of Partially-Observed Boolean Dynamical Systems.

Package: r-cran-boomer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1761
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-pryr, r-cran-rlang, r-cran-rstudioapi, r-cran-styler, r-cran-withr
Suggests: r-cran-flow, r-cran-knitr, r-cran-lobstr, r-cran-magrittr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boomer_0.2.0-1.ca2004.1_all.deb
Size: 1201688
MD5sum: 41f85cc8fceea6ff1de81da323f76445
SHA1: 0d6db9300cc71db411985f17a903fe79f1996ecc
SHA256: 5db8a474c0e2e23fe85afd6c59652e917c0cf30353d1239085d32b14c3669e49
SHA512: 38674c62726a4f1481f164212cead0d28a2f87b4a199c72f7d10666c6e41ecc3e067618e29cd6765b1718df05260cfa4507d2f0dec79a2df2fbce3c0e500750d
Homepage: https://cran.r-project.org/package=boomer
Description: CRAN Package 'boomer' (Debugging Tools to Inspect the Intermediate Steps of a Call)
 Provides debugging tools that let you inspect the intermediate results of a
 call. The output looks as if we explode a call into its parts hence the
 package name.

Package: r-cran-boostingdea
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 431
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rglpk, r-cran-dplyr, r-cran-lpsolveapi, r-cran-mlmetrics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boostingdea_0.1.0-1.ca2004.1_all.deb
Size: 218852
MD5sum: 0686ad191071e21be05f8c5b4a22ba49
SHA1: 8d7af0e5f573eea6884fa2f9e0d2837f07cbae42
SHA256: 39cf87de06b9705c58340f4eb3beed560268ff26358c77a645780bc15311257b
SHA512: 9792682d468ed34469585c7d6f65294f730300871066e1816516ee7310ab4efe96c2811a4d1c1451d0c26034c5e6d4faa7c30d0cada219a4b774f682298a90c9
Homepage: https://cran.r-project.org/package=boostingDEA
Description: CRAN Package 'boostingDEA' (A Boosting Approach to Data Envelopment Analysis)
 Includes functions to estimate production frontiers and make ideal output
 predictions in the Data Envelopment Analysis (DEA) context using both
 standard models from DEA and Free Disposal Hull (FDH) and boosting
 techniques. In particular, EATBoosting (Guillen et al., 2023
 <doi:10.1016/j.eswa.2022.119134>) and MARSBoosting. Moreover, the package
 includes code for estimating several technical efficiency measures using
 different models such as the input and output-oriented radial measures, the
 input and output-oriented Russell measures, the Directional Distance
 Function (DDF), the Weighted Additive Measure (WAM) and the Slacks-Based
 Measure (SBM).

Package: r-cran-boostmtree
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforestsrc, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-boostmtree_1.5.1-1.ca2004.1_all.deb
Size: 439636
MD5sum: e9e515bd50c083941dbee143dba3905b
SHA1: 1330547fd4c185fc93360971ed34d1ed62bb874a
SHA256: dd56f8c74b6ee41da6d2def81944b3da313426c9ade1095cd6b55d707c83daa2
SHA512: 4f9702ac7396b747eb09792347819edd89cf3b8c0a24d61d34f2bb8c9e7d36098abd8f739d1248d5b49f6318e0000f01be5194fd20024447cefc3aa49ef2ca8f
Homepage: https://cran.r-project.org/package=boostmtree
Description: CRAN Package 'boostmtree' (Boosted Multivariate Trees for Longitudinal Data)
 Implements Friedman's gradient descent boosting algorithm for modeling
 longitudinal response using multivariate tree base learners. Longitudinal
 response could be continuous, binary, nominal or ordinal.  A time-covariate
 interaction effect is modeled using penalized B-splines (P-splines) with
 estimated adaptive smoothing parameter. Although the package is design for
 longitudinal data, it can handle cross-sectional data as well.
 Implementation details are provided in Pande et al. (2017), Mach Learn
 <DOI:10.1007/s10994-016-5597-1>.

Package: r-cran-boostrq
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mboost, r-cran-stabs, r-cran-quantreg, r-cran-checkmate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boostrq_1.0.0-1.ca2004.1_all.deb
Size: 76032
MD5sum: 2c72a49888d32093c5deff083fd4aa6f
SHA1: 5a6b350a0586b75df094a8f312a7956f6529482d
SHA256: 233ac5cabef6e8ba0d02b5a14d6f04a168b3d9af7e33177428cae4773ea9ddbe
SHA512: 0b634d36857a57fb9a0d62d491ea8cd8dacd604b541f5c57c4c05897d829685f15722354b9286a3b5061f7d707179a5aed7e2a053bcdccefa93ec57dac2358f6
Homepage: https://cran.r-project.org/package=boostrq
Description: CRAN Package 'boostrq' (Boosting Regression Quantiles)
 Boosting Regression Quantiles is a component-wise boosting algorithm, that
 embeds all boosting steps in the well-established framework of quantile
 regression. It is initialized with the corresponding quantile, uses a
 quantile-specific learning rate, and uses quantile regression as its base
 learner.  The package implements this algorithm and allows cross-validation
 and stability selection.

Package: r-cran-boot.heterogeneity
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-pbmcapply, r-cran-hsaur3, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boot.heterogeneity_1.1.5-1.ca2004.1_all.deb
Size: 286080
MD5sum: 759dfffb9ca45077e21a9f5a4ad308e1
SHA1: 4934c3f8c8ef1631e2a882034712517a3ce2b44e
SHA256: 658c72680a4af71ab286962eca7f8ea80c70f7ad7be81c77790d492e83dda214
SHA512: 0dbe369abc10dfc7d8febeee426dcf8effc955681460573b5933dedb00ae0c51ea35db269251bdbbe025efad9a277547c3089430ae76b93bbfae6edd475362f6
Homepage: https://cran.r-project.org/package=boot.heterogeneity
Description: CRAN Package 'boot.heterogeneity' (A Bootstrap-Based Heterogeneity Test for Meta-Analysis)
 Implements a bootstrap-based heterogeneity test for standardized mean
 differences (d), Fisher-transformed Pearson's correlations (r), and
 natural-logarithm-transformed odds ratio (or) in meta-analysis studies.
 Depending on the presence of moderators, this Monte Carlo based test can be
 implemented in the random- or mixed-effects model. This package uses rma()
 function from the R package 'metafor' to obtain parameter estimates and
 likelihoods, so installation of R package 'metafor' is required. This
 approach refers to the studies of Anscombe (1956) <doi:10.2307/2332926>,
 Haldane (1940) <doi:10.2307/2332614>, Hedges (1981)
 <doi:10.3102/10769986006002107>, Hedges & Olkin (1985, ISBN:978-0123363800),
 Silagy, Lancaster, Stead, Mant, & Fowler (2004)
 <doi:10.1002/14651858.CD000146.pub2>, Viechtbauer (2010)
 <doi:10.18637/jss.v036.i03>, and Zuckerman (1994, ISBN:978-0521432009).

Package: r-cran-boot.pval
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-rdpack, r-cran-car, r-cran-lme4, r-cran-survival, r-cran-rms, r-cran-gt, r-cran-flextable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-boot.pval_0.7.0-1.ca2004.1_all.deb
Size: 318732
MD5sum: 25675c5f45127ac77cf33fb5bc790eec
SHA1: 5b975b32de878e696e89949c513d0ece41b4fdbb
SHA256: 2c53098d1f7be4605aadf222da9b8b19eef25f628517413e3dfa60ad19050e18
SHA512: 7b52d35a9cf3ec0d3a1fefd6b520b06da59e74b122b34edcf25472f885554ad9e475cae07026f1dca0d56b6ad3fdb604d5fa011b2ba291a82e7ca2e602cab1b3
Homepage: https://cran.r-project.org/package=boot.pval
Description: CRAN Package 'boot.pval' (Bootstrap p-Values)
 Computation of bootstrap p-values through inversion of confidence intervals,
 including convenience functions for regression models and tests of location.

Package: r-cran-boot
Architecture: all
Version: 1.3-31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 760
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-boot_1.3-31-1.ca2004.1_all.deb
Size: 620324
MD5sum: 3554a40fa5ed4d839e8da9398440df20
SHA1: dce9ee9e86eba4904933fdfacc939160ccea0276
SHA256: 0d7b7f464435cc485a446446f6a6e54a7e34f715f7eec6ae5609cdbbd44478c4
SHA512: 94b74d989a242e1f9bd8f7ba13352917be7ef4a88bfd0e8379cdef5e30b0545528b5718e7024484458e8cc2a48adee10fcf7c8f33a411e29b3ec6c072129a003
Homepage: https://cran.r-project.org/package=boot
Description: CRAN Package 'boot' (Bootstrap Functions (Originally by Angelo Canty for S))
 Functions and datasets for bootstrapping from the book "Bootstrap Methods
 and Their Application" by A. C. Davison and D. V. Hinkley (1997, CUP),
 originally written by Angelo Canty for S.

Package: r-cran-bootcluster
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cluster, r-cran-mclust, r-cran-flexclust, r-cran-fpc, r-cran-plyr, r-cran-dplyr, r-cran-doparallel, r-cran-foreach, r-cran-igraph, r-cran-ggplot2, r-cran-gridextra, r-cran-intergraph, r-cran-ggally, r-cran-network, r-cran-kernlab, r-cran-sna, r-cran-progress
Filename: pool/dists/focal/main/r-cran-bootcluster_0.4.2-1.ca2004.1_all.deb
Size: 195640
MD5sum: 72a18b5b19aa6c2295048c11ed7b3197
SHA1: 82d2229c0aad0bdf6eeeb755ca4582e41bfe1562
SHA256: 541c4a1492ffd34053e00470d7046ded92d29e32e5256ea23526c7c308364e03
SHA512: 178b3ade2058ce888dc2c115cdebe1988fc41d178a46d849f10008657a99528e3343a5be2e7da3236a36e52803abcce3b6b4fd6c48373d23a8b143a984e284c1
Homepage: https://cran.r-project.org/package=bootcluster
Description: CRAN Package 'bootcluster' (Bootstrapping Estimates of Clustering Stability)
 Implementation of the bootstrapping approach for the estimation of
 clustering stability and its application in estimating the number of
 clusters, as introduced by Yu et al (2016)<doi:10.1142/9789814749411_0007>.
 Implementation of the non-parametric bootstrap approach to assessing the
 stability of module detection in a graph, the extension for the selection of
 a parameter set that defines a graph from data in a way that optimizes
 stability and the corresponding visualization functions, as introduced by
 Tian et al (2021) <doi:10.1002/sam.11495>. Implemented out-of-bag stability
 estimation function and k-select Smin-based k-selection function as
 introduced by Liu et al (2022) <doi:10.1002/sam.11593>. Implemented ensemble
 clustering method based-on k-means clustering method, spectral clustering
 method and hierarchical clustering method.

Package: r-cran-bootcomb
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-hdinterval
Filename: pool/dists/focal/main/r-cran-bootcomb_1.1.2-1.ca2004.1_all.deb
Size: 99396
MD5sum: 4ffcaa7e0fe437adf15407253e2aeafd
SHA1: ffb57dbd9d2b1cf29de1a8dd56bdbf9230d47bb4
SHA256: 43ae09c3cdeb5536f1f236e9561a4ba42b703990bf48b13ca584ff872a67440e
SHA512: 607fd0d14f20d0d408b4103264e6e4624694286f2e237af2ad9b8aa431912749f4cced7bba84f9a80438bff336e18e75f0593696657e83aa5a61ad98c44ffe03
Homepage: https://cran.r-project.org/package=bootComb
Description: CRAN Package 'bootComb' (Combine Parameter Estimates via Parametric Bootstrap)
 Propagate uncertainty from several estimates when combining these estimates
 via a function.  This is done by using the parametric bootstrap to simulate
 values from the distribution of each estimate to build up an empirical
 distribution of the combined parameter.  Finally either the percentile
 method is used or the highest density interval is chosen to derive a
 confidence interval for the combined parameter with the desired coverage.
 Gaussian copulas are used for when parameters are assumed to be dependent /
 correlated.  References: Davison and Hinkley (1997,ISBN:0-521-57471-4) for
 the parametric bootstrap and percentile method, Gelman et al.
 (2014,ISBN:978-1-4398-4095-5) for the highest density interval, Stockdale et
 al. (2020)<doi:10.1016/j.jhep.2020.04.008> for an example of combining
 conditional prevalences.

Package: r-cran-bootes
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootes_1.3.1-1.ca2004.1_all.deb
Size: 55420
MD5sum: c725a14d2b0e5ef7c64c6963096ce7ed
SHA1: efeef13652860f55c4beec7d81542ed118ef39b4
SHA256: a8dfb54b2fb538651b95ef36761ed66c183c34587319739790844bc49cf40974
SHA512: 7d5b9db6a77062fbdbaf005bdeffe4e94a3811e6815a608b129829898b7bd29f22f25b2ac2b056ce95d8090ad3c52cdb283da2f1f53facba2c40280718d37b91
Homepage: https://cran.r-project.org/package=bootES
Description: CRAN Package 'bootES' (Bootstrap Confidence Intervals on Effect Sizes)
 Calculate robust measures of effect sizes using the bootstrap.

Package: r-cran-bootf2
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1574
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-mass, r-cran-readxl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bootf2_0.4.1-1.ca2004.1_all.deb
Size: 1066484
MD5sum: d4e5443436bef5539a1ca2e79d66bb41
SHA1: 9baf7362158a5bff32ce421ea76063371ca9cb72
SHA256: d0ee9270b9db81e4b4180a3d91bf14ae9467772b3b193c80cd70a8908e2465d0
SHA512: 48db4b49b980411fa91715f110a9c7284a70bb4f39c0805080739f0b89dca7fac83a0200e5d360c3a2f0e66266674fddacd1ead2d45f35214b9da65933924541
Homepage: https://cran.r-project.org/package=bootf2
Description: CRAN Package 'bootf2' (Simulation and Comparison of Dissolution Profiles)
 Compare dissolution profiles with confidence interval of similarity factor
 f2 using bootstrap methodology as described in the literature, such as Efron
 and Tibshirani (1993, ISBN:9780412042317), Davison and Hinkley (1997,
 ISBN:9780521573917), and Shah et al. (1998) <doi:10.1023/A:1011976615750>.
 The package can also be used to simulate dissolution profiles based on
 mathematical modelling and multivariate normal distribution.

Package: r-cran-bootgof
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 657
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-r6
Suggests: r-cran-testthat, r-cran-covr, r-cran-roxygen2, r-cran-pkgdown, r-cran-devtools, r-cran-tinytest, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown, r-cran-minpack.lm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bootgof_0.1.0-1.ca2004.1_all.deb
Size: 383120
MD5sum: e0352ff2b8a7897ecec15a1d74319aa5
SHA1: ea1ba698160d3da701eec1809d93c72c164ffb4f
SHA256: 2c5b59b08a233bd564265114d96db535390e45389470a84fed8230bc50d16c51
SHA512: 2c98a1ce6c60c81f2502bd804c2e9a78799a32d7b2eceadbeac50fe613e6717b2e2e4bce050d74560e14171422a9a94ae253d9de0e3c62f7942851d6b76a0916
Homepage: https://cran.r-project.org/package=bootGOF
Description: CRAN Package 'bootGOF' (Bootstrap Based Goodness-of-Fit Tests)
 Bootstrap based goodness-of-fit tests. It allows to perform rigorous
 statistical tests to check if a chosen model family is correct based on the
 marked empirical process. The implemented algorithms are described in (Dikta
 and Scheer (2021) <doi:10.1007/978-3-030-73480-0>) and can be applied to
 generalized linear models without any further implementation effort. As far
 as certain linearity conditions are fulfilled the resampling scheme are also
 applicable beyond generalized linear models. This is reflected in the
 software architecture which allows to reuse the resampling scheme by
 implementing only certain interfaces for models that are not supported
 natively by the package.

Package: r-cran-bootimpute
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mice, r-cran-smcfcs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootimpute_1.2.2-1.ca2004.1_all.deb
Size: 64884
MD5sum: 4504f8e58934b2bbd22afd31e7ca597a
SHA1: ea8292cc5045122b289adf24d5d46279717563d5
SHA256: c2947ab5c339d210aff29c486062c2ff694ee56a87a08adb8b15efa4ca496e9c
SHA512: 8d0764395eb3bd6bea33289b5c4ae4edc2a38f3bb5259fc66f52c1398d0379d44f35ba948b9ba87f37f68ae524700ee2fdd1828578d93c03b9e34074eae5ca93
Homepage: https://cran.r-project.org/package=bootImpute
Description: CRAN Package 'bootImpute' (Bootstrap Inference for Multiple Imputation)
 Bootstraps and imputes incomplete datasets. Then performs inference on
 estimates obtained from analysing the imputed datasets as proposed by von
 Hippel and Bartlett (2021) <doi:10.1214/20-STS793>.

Package: r-cran-bootlr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-binom
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootlr_1.0.2-1.ca2004.1_all.deb
Size: 56872
MD5sum: a7e273fbb357724af9a76ef7227ed279
SHA1: a139608839b3160b0372e18eb2cf9cb639bc2174
SHA256: 4c96e6e6cc405f96b7985e682076ae9f18cacdb2183e9975e580ef632c2743e8
SHA512: 996b23998fcbf7c6a8118b513d2ce4fbb821189d6843f1e8ff92bd39bcab84d7993e049d18498a113ee0fd83f547e980ed9365cced436b56c67f8af5f0a7ca4a
Homepage: https://cran.r-project.org/package=bootLR
Description: CRAN Package 'bootLR' (Bootstrapped Confidence Intervals for (Negative) LikelihoodRatio Tests)
 Computes appropriate confidence intervals for the likelihood ratio tests
 commonly used in medicine/epidemiology, using the method of Marill et al.
 (2015) <doi:10.1177/0962280215592907>.  It is particularly useful when the
 sensitivity or specificity in the sample is 100%.  Note that this does not
 perform the test on nested models--for that, see 'epicalc::lrtest'.

Package: r-cran-bootmrmr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bootmrmr_0.1-1.ca2004.1_all.deb
Size: 129196
MD5sum: 9386c312107d59ba3334f0b421541e2d
SHA1: 5d8ebae29f492c24f1699fed752d18aef07f8d1a
SHA256: ee2a44fea9faf7d7bf0bd0a901dca577be48de2c37666393a9599b152a8cf9bc
SHA512: b69dfb2932cb2793e899a79b8c34506b50f49cb96789c92f095113c9a2463beb4e348030349083896925e6c6c15e6042c981fa5f5e8b2a3d8401febeed28d091
Homepage: https://cran.r-project.org/package=BootMRMR
Description: CRAN Package 'BootMRMR' (Bootstrap-MRMR Technique for Informative Gene Selection)
 Selection of informative features like genes, transcripts, RNA seq, etc.
 using Bootstrap Maximum Relevance and Minimum Redundancy technique from a
 given high dimensional genomic dataset. Informative gene selection involves
 identification of relevant genes and removal of redundant genes as much as
 possible from a large gene space. Main applications in high-dimensional
 expression data analysis (e.g. microarray data, NGS expression data and
 other genomics and proteomics applications).

Package: r-cran-bootnet
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-isingfit, r-cran-qgraph, r-cran-dplyr, r-cran-tidyr, r-cran-gtools, r-cran-corpcor, r-cran-isingsampler, r-cran-mvtnorm, r-cran-abind, r-cran-matrix, r-cran-snow, r-cran-mgm, r-cran-networktoolbox, r-cran-pbapply, r-cran-networktools, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-glasso, r-cran-ggmncv, r-cran-bdgraph, r-cran-graphicalvar, r-cran-relaimpo, r-cran-lavaan, r-cran-psychtools, r-cran-huge
Filename: pool/dists/focal/main/r-cran-bootnet_1.6-1.ca2004.1_all.deb
Size: 318108
MD5sum: f77d9e3659d31ce8140b7552fe7486d9
SHA1: 57d4ea72f2edf09968a1d88688f9bb30bc5c3e7d
SHA256: affee0c3a40ebf4059f95bdc06be48f1ae817d41be17be620eeceeffc62c4a4b
SHA512: eeb360088dc9ccf189c12aee0f77fa530f3db60b911cd7cf11eea0ba49079cd5f8271cd5d9fbf45aff313153974737d79dcb5c4ac8e1a05eadc7893a8fbaa8a6
Homepage: https://cran.r-project.org/package=bootnet
Description: CRAN Package 'bootnet' (Bootstrap Methods for Various Network Estimation Routines)
 Bootstrap methods to assess accuracy and stability of estimated network
 structures and centrality indices <doi:10.3758/s13428-017-0862-1>. Allows
 for flexible specification of any undirected network estimation procedure in
 R, and offers default sets for various estimation routines.

Package: r-cran-bootpls
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-doparallel, r-cran-foreach, r-cran-plsrglm, r-cran-pls, r-cran-spls, r-cran-bipartite, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-markdown, r-cran-plsdof, r-cran-prettydoc, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bootpls_1.0.1-1.ca2004.1_all.deb
Size: 216276
MD5sum: f0eafcc1930b0401009be98e08fbc199
SHA1: c12e2823c08203070a913506b5b498a837a57e8b
SHA256: 8bf154f9ded8ff0d64d40633c32e7922a9e32645cdadb9e4029495791b7c616f
SHA512: 4f81ba1bf0c7ec5e8d4ff6fb14c7d039dc9ec42fc86fe429cae1df6ae9d037d82cf7ab292e60971d332e1d932361d71aac3d869c12e842e8b0482376339854a6
Homepage: https://cran.r-project.org/package=bootPLS
Description: CRAN Package 'bootPLS' (Bootstrap Hyperparameter Selection for PLS Models and Extensions)
 Several implementations of non-parametric stable bootstrap-based techniques
 to determine the numbers of components for Partial Least Squares linear or
 generalized linear regression models as well as and sparse Partial Least
 Squares linear or generalized linear regression models. The package collects
 techniques that were published in a book chapter (Magnanensi et al. 2016,
 'The Multiple Facets of Partial Least Squares and Related Methods',
 <doi:10.1007/978-3-319-40643-5_18>) and two articles (Magnanensi et al.
 2017, 'Statistics and Computing', <doi:10.1007/s11222-016-9651-4>) and
 (Magnanensi et al. 2021, 'Frontiers in Applied Mathematics and Statistics',
 <doi:10.3389/fams.2021.693126>).

Package: r-cran-bootpr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bootpr_1.0-1.ca2004.1_all.deb
Size: 154072
MD5sum: 71fc1a4c7d39dbbf7bf07d730fc32f2b
SHA1: 24ee0eb92c76e6d21b8d9f21035ce5fcef2548da
SHA256: 2cdc4014b9ca56ae5abf568e7ac7dc135e749ae6c64a95e85f4283b9644dbbaf
SHA512: 788c27ee847cc5460daa797c7126a8b7c2e3689f7403d55a505202cec66f02fc116dbc3febb3b0582ad798cf96bd85346b3bb5446b0c29d59865e68d5681ec16
Homepage: https://cran.r-project.org/package=BootPR
Description: CRAN Package 'BootPR' (Bootstrap Prediction Intervals and Bias-Corrected Forecasting)
 Contains functions for bias-Corrected Forecasting and Bootstrap Prediction
 Intervals for Autoregressive Time Series.

Package: r-cran-bootspecdens
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bootspecdens_3.0-1.ca2004.1_all.deb
Size: 34636
MD5sum: bbb5686ec4d0f8a453d564f7f1023f54
SHA1: 65e8823fd38d192c49fef3999ee626c517d18230
SHA256: 4234cc903b0ee4249037a79a2d45309c886f9e2b835c0bd499d444b78cd82ac3
SHA512: bc76c39087182e8a37d85b382c388a79bff2a9cf772857508fd60d28e777b3c43db5b0ca845cfd386559fe5827fee2d393ad6aee5355ac6b61a7be840c9dff80
Homepage: https://cran.r-project.org/package=bootspecdens
Description: CRAN Package 'bootspecdens' (Testing equality of spectral densities)
 Bootstrap for testing the hypothesis that the spectral densities of a number
 m, m>=2, not necessarily independent time series are equal

Package: r-cran-bootstatespace
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-simstatespace, r-cran-dynr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootstatespace_1.0.2-1.ca2004.1_all.deb
Size: 164100
MD5sum: 6591213e149de29a25857824e9cdbe5a
SHA1: 9862a62a0a7d24c03dffd4f908b310b78ae5e8fa
SHA256: 6b36da1175e495fd2ccd95310faa41f4966639d92127b4df64f631d534067182
SHA512: 7eccc5cfc622cf8c5472cb7e1303e9a6bb5bd7e9d1381803f2b1243ae90035a3b08941329d1d98f748b52b17f0c0d45017e7f2568c961f931390a7935fb6a47a
Homepage: https://cran.r-project.org/package=bootStateSpace
Description: CRAN Package 'bootStateSpace' (Bootstrap for State Space Models)
 Provides a streamlined and user-friendly framework for bootstrapping in
 state space models, particularly when the number of subjects/units (n)
 exceeds one, a scenario commonly encountered in social and behavioral
 sciences.  For an introduction to state space models in social and
 behavioral sciences, refer to Chow, Ho, Hamaker, and Dolan (2010)
 <doi:10.1080/10705511003661553>.

Package: r-cran-bootstepaic
Architecture: all
Version: 1.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bootstepaic_1.3-0-1.ca2004.1_all.deb
Size: 23432
MD5sum: ecd47687b8c7792c042a8a84fb8f8ba9
SHA1: 0930c885ae293fe5214b7a8dfaafe60ae92f2e79
SHA256: b68a783c160f0e8ff90ae8c4da9d70c526a5f32955774f7dc60ed1fca37e0083
SHA512: f810dd90cae3fdaff7139fd9c08c9c975005f2c3deb0bf083cd6bb2c59117ea624e5956e1db8b5e8d6ace081f8c0e893d03d3ae217bd05ac95d7f9c90003897d
Homepage: https://cran.r-project.org/package=bootStepAIC
Description: CRAN Package 'bootStepAIC' (Bootstrap stepAIC)
 Model selection by bootstrapping the stepAIC() procedure.

Package: r-cran-bootstrapfp
Architecture: all
Version: 0.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sampling
Filename: pool/dists/focal/main/r-cran-bootstrapfp_0.4.6-1.ca2004.1_all.deb
Size: 65908
MD5sum: c9ff6e6e51af72edef4bb6360e3ed8c4
SHA1: 4d9b5a0dcf2885232eef8cc9fb9589bb0886c21c
SHA256: f2a1ac326aa36d97b39dd8d0926ff3dbb03066f69f969f898d7c624d7b117102
SHA512: 0ec243f77fe15c7d31c32a69dbb1b84cebfaa8b5e81c838a2dfe772351784d12ec853792aea94ad7561cff4c53c40cb3a4cc298de27e6695195872bccbef787e
Homepage: https://cran.r-project.org/package=bootstrapFP
Description: CRAN Package 'bootstrapFP' (Bootstrap Algorithms for Finite Population Inference)
 Finite Population bootstrap algorithms to estimate the variance of the
 Horvitz-Thompson estimator for single-stage sampling.  For a survey of
 bootstrap methods for finite populations, see Mashreghi et Al. (2016)
 <doi:10.1214/16-SS113>.

Package: r-cran-bootstrapqtl
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixeqtl, r-cran-foreach, r-cran-data.table
Suggests: r-cran-domc, r-cran-doparallel, r-bioc-qvalue, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootstrapqtl_1.0.5-1.ca2004.1_all.deb
Size: 48848
MD5sum: 81cb9bcc731372515246e491fb3e3ac3
SHA1: f22f6b815a69678e136cac0ad8e21bb1297cafe5
SHA256: 96b87c6ffc095e749220e5ad528e04f9df9735ce83dee002351cd015efde7bad
SHA512: 0b7c9f9ac96fabfffb4ecc3f32763675b822f44ba1595ef807d8fa85a40ed708c859140ebc5c2c0866d59fd08ed1d4e1be264ee039a5df8c410bb049aafb6410
Homepage: https://cran.r-project.org/package=BootstrapQTL
Description: CRAN Package 'BootstrapQTL' (Bootstrap cis-QTL Method that Corrects for the Winner's Curse)
 Identifies genome-related molecular traits with significant evidence of
 genetic regulation and performs a bootstrap procedure to correct estimated
 effect sizes for over-estimation present in cis-QTL mapping studies (The
 "Winner's Curse"), described in Huang QQ *et al.* 2018 <doi:
 10.1093/nar/gky780>.

Package: r-cran-bootsurv
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bootsurv_0.0.1-1.ca2004.1_all.deb
Size: 565716
MD5sum: ffbb1486243d4988f88f2ee604bd99f8
SHA1: 286f6d40ea2a150877cce8e382f28430df9f55c0
SHA256: 904e048593938dd15002ca0f0da7a35cf8e8efb766d00cc3c0e11b1ec66eeb6c
SHA512: 5da85675fe82b5ad01e4a0a667390f5a1a42ece0c7bd49953ef97fa92f0dbf560db32c48b0954916f9e808c79c671e37bef107402dc5ae8e97a623ea9a70615b
Homepage: https://cran.r-project.org/package=bootsurv
Description: CRAN Package 'bootsurv' (Bootstrap Methods for Complete Survey Data)
 Bootstrap resampling methods have been widely studied in the context of
 survey data. This package implements various bootstrap resampling techniques
 tailored for survey data, with a focus on stratified simple random sampling
 and stratified two-stage cluster sampling. It provides tools for precise and
 consistent bootstrap variance estimation for population totals, means, and
 quartiles. Additionally, it enables easy generation of bootstrap samples for
 in-depth analysis.

Package: r-cran-bootsvd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ff
Filename: pool/dists/focal/main/r-cran-bootsvd_1.2-1.ca2004.1_all.deb
Size: 149144
MD5sum: 5aa178cda06d7a092e911773da82b87b
SHA1: d7caacfca1d0ce72f72967095b022991dc6018d7
SHA256: e1f92a7adb355140405a576ffac31b25b702437f0458c5f9e1927c87117c1ddf
SHA512: b51bee7f338ea33d5d8ad9437d17ba5bc8dc2006cbfceb3ae856ce8ee0b7a36bf7c92a87ba9724024adba47d5ff0e5584841281f4fa87f793923b0ad748f9a7e
Homepage: https://cran.r-project.org/package=bootSVD
Description: CRAN Package 'bootSVD' (Fast, Exact Bootstrap Principal Component Analysis for HighDimensional Data)
 Implements fast, exact bootstrap Principal Component Analysis and Singular
 Value Decompositions for high dimensional data, as described in
 <doi:10.1080/01621459.2015.1062383> (see also
 <doi:10.48550/arXiv.1405.0922>). For data matrices that are too large to
 operate on in memory, users can input objects with class 'ff' (see the 'ff'
 package), where the actual data is stored on disk. In response, this package
 will implement a block matrix algebra procedure for calculating the
 principal components (PCs) and bootstrap PCs. Depending on options set by
 the user, the 'parallel' package can be used to parallelize the calculation
 of the bootstrap PCs.

Package: r-cran-boottol
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-boottol_2.0-1.ca2004.1_all.deb
Size: 30364
MD5sum: ab6db26518ddb587ec075133fc477d0f
SHA1: 2f476e4392fc8915632c9a9f8ec34c0e95ceda00
SHA256: 00013275603c0ebc7368d24fbfc04e6ce6ce308f73ec85c0c261c072443ffade
SHA512: b1aac8557ed2a467084dbccd63259520fd35666e61fafd5b63514e7626b0f198ebbf9ed924524dbc9c229628dd1889fe311ff8db9a86b18f549b6594ded4e424
Homepage: https://cran.r-project.org/package=boottol
Description: CRAN Package 'boottol' (Bootstrap Tolerance Levels for Credit Scoring ValidationStatistics)
 Used to create bootstrap tolerance levels for the Kolmogorov-Smirnov (KS)
 statistic, the area under receiver operator characteristic curve (AUROC)
 statistic, and the Gini coefficient for each score cutoff. Also provides a
 bootstrap alternative to the Vasicek test.

Package: r-cran-bootwar
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2043
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-mmcards, r-cran-npboottprm, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bootwar_0.2.1-1.ca2004.1_all.deb
Size: 1752144
MD5sum: 2e47e740f60b973ae19211fa9b2f5772
SHA1: 208da555b98c590b4bc3818633d68caf5430c733
SHA256: f140481114f542a0b099b34c073e26aeb5ed618e989c1ae02218a45598126f7d
SHA512: 095c2227e8079bed0dacdaca04354fee09975a8934285b71be988c112fb5629722315166d7a43b9ded625ccd8195e4b9653567e59469af19abe0fd16a0bd927a
Homepage: https://cran.r-project.org/package=bootwar
Description: CRAN Package 'bootwar' (Nonparametric Bootstrap Test with Pooled Resampling Card Game)
 The card game War is simple in its rules but can be lengthy. In another
 domain, the nonparametric bootstrap test with pooled resampling (nbpr)
 methods, as outlined in Dwivedi, Mallawaarachchi, and Alvarado (2017)
 <doi:10.1002/sim.7263>, is optimal for comparing paired or unpaired means in
 non-normal data, especially for small sample size studies. However, many
 researchers are unfamiliar with these methods. The 'bootwar' package bridges
 this gap by enabling users to grasp the concepts of nbpr via Boot War, a
 variation of the card game War designed for small samples. The package
 provides functions like score_keeper() and play_round() to streamline
 gameplay and scoring. Once a predetermined number of rounds concludes, users
 can employ the analyze_game() function to derive game results. This function
 leverages the 'npboottprm' package's nonparboot() to report nbpr results
 and, for comparative analysis, also reports results from the 'stats'
 package's t.test() function. Additionally, 'bootwar' features an interactive
 'shiny' web application, bootwar(). This offers a user-centric interface to
 experience Boot War, enhancing understanding of nbpr methods across various
 distributions, sample sizes, number of bootstrap resamples, and confidence
 intervals.

Package: r-cran-bootwptos
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-wavethresh, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-bootwptos_1.2.1-1.ca2004.1_all.deb
Size: 56040
MD5sum: 4ccdce3e343343109a2c7c9cc9f73622
SHA1: 2e1f937f5b4f426b11e076841ba2b3481c1a7ea3
SHA256: 64b25eda6c4d93bb1c15f19d716b215a8788adea86d5517f1c17a3e327645c06
SHA512: fa2a44755dcbc549a44bb78c05c0e9da3513a08c8b7b2f210009f667f44782d20e630d5d52a1bc73452a0223c039a05ed12b32fb5ddb475b0f3b754c97f33cb1
Homepage: https://cran.r-project.org/package=BootWPTOS
Description: CRAN Package 'BootWPTOS' (Test Stationarity using Bootstrap Wavelet Packet Tests)
 Provides significance tests for second-order stationarity for time series
 using bootstrap wavelet packet tests.  Provides functionality to visualize
 the time series with the results of the hypothesis tests superimposed.  The
 methodology is described in Cardinali, A and Nason, G P (2016) "Practical
 powerful wavelet packet tests for second-order stationarity."  Applied and
 Computational Harmonic Analysis, 44, 558-585
 <doi:10.1016/j.acha.2016.06.006>.

Package: r-cran-boptbd
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-boptbd_1.0.7-1.ca2004.1_all.deb
Size: 83500
MD5sum: 8fd3afc738d045c951e136b11fb649df
SHA1: feff775aedf82deb6ef64efbeb03f40cf67eebca
SHA256: 856149c69a8d30d557ff54077ff60ae4fdc8f4e24a974ed0cf40c2fb2bb86660
SHA512: 55111842d2c68aab6116b73876140037bd244da259f6cf2f6670286583e71e3a3851a3b38559edf17a0a53309f3d606f272449fb6e29836f72064f9110a0bdbc
Homepage: https://cran.r-project.org/package=Boptbd
Description: CRAN Package 'Boptbd' (Bayesian Optimal Block Designs)
 Computes Bayesian A- and D-optimal block designs under the linear mixed
 effects model settings using block/array exchange algorithm of Debusho,
 Gemechu and Haines (2018) <doi:10.1080/03610918.2018.1429617> and Gemechu,
 Debusho and Haines (2025) <doi:10.5539/ijsp.v14n1p50> where the interest is
 in a comparison of all possible elementary treatment contrasts. The package
 also provides an optional method of using the graphical user interface (GUI)
 R package 'tcltk' to ensure that it is user friendly.

Package: r-cran-bor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bor_0.1.0-1.ca2004.1_all.deb
Size: 21296
MD5sum: d72bb8d9e94536632e6a0e161bd50bde
SHA1: cdf1e6ee57b654cb75b5f5ce28b4a15c3a5d2cf3
SHA256: 1728bc074a4e9ed8a1f61b84436d8eb326ebb35b0d06f61879f405c765170425
SHA512: 0be45a36e413064dccd5eaf2add4534b76b0b0478e28e185b304e5a8c824453c2220d76f7dc5aa279d114550efcbc53e456edeed133248b9fa2c1a4e741514e6
Homepage: https://cran.r-project.org/package=bor
Description: CRAN Package 'bor' (Transforming Behavioral Observation Records into Data Matrices)
 Transforms focal observations' data, where different types of social
 interactions can be recorded by multiple observers, into asymmetric data
 matrices.  Each cell in these matrices provides counts on the number of
 times a specific type of social interaction was initiated by the row subject
 and directed to the column subject.

Package: r-cran-boral
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-abind, r-cran-corpcor, r-cran-fishmod, r-cran-lifecycle, r-cran-mass, r-cran-mvtnorm, r-cran-r2jags, r-cran-reshape2
Suggests: r-cran-mvabund, r-cran-corrplot
Filename: pool/dists/focal/main/r-cran-boral_2.0.3-1.ca2004.1_all.deb
Size: 582200
MD5sum: 4fc844f1e067ff77a52cd81ac78689fe
SHA1: fac114b2c8ff1e961b2b2ac4e0567d24b76c7ed8
SHA256: d6046a0a32ab4325ba199e9da4e2d49000a3bc1aa088f46cc83341755088d332
SHA512: 929c0ec7545c41111d10283d22c90077cde3bdd5a5db3682cd427af235ccb52533f8b111b7855b604ab87f4fc15e2687700691c4e5eab62139ef5fe906dc830d
Homepage: https://cran.r-project.org/package=boral
Description: CRAN Package 'boral' (Bayesian Ordination and Regression AnaLysis)
 Bayesian approaches for analyzing multivariate data in ecology. Estimation
 is performed using Markov Chain Monte Carlo (MCMC) methods via Three. JAGS
 types of models may be fitted: 1) With explanatory variables only, boral
 fits independent column Generalized Linear Models (GLMs) to each column of
 the response matrix; 2) With latent variables only, boral fits a purely
 latent variable model for model-based unconstrained ordination; 3) With
 explanatory and latent variables, boral fits correlated column GLMs with
 latent variables to account for any residual correlation between the columns
 of the response matrix.

Package: r-cran-boruta
Architecture: all
Version: 8.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ranger
Suggests: r-cran-mlbench, r-cran-rferns, r-cran-randomforest, r-cran-testthat, r-cran-xgboost, r-cran-survival
Filename: pool/dists/focal/main/r-cran-boruta_8.0.0-1.ca2004.1_all.deb
Size: 433260
MD5sum: a76038013b20d0126dfeebceccc02a37
SHA1: 2883c1e5651331200cfc260cef23a90bbf195eac
SHA256: 5fc6ae20b940ae30493d8ec35d0ff5fd8bf98861567a9582a0b4774303a3060e
SHA512: 67b28ab1c5379780e6fa2ff302ee8a55aa6a99e00e1df93e9b6f9572d7b58083f42693f891cc604be5d22283af0257a7a4094025bdcfa9277eef8310a57da2a6
Homepage: https://cran.r-project.org/package=Boruta
Description: CRAN Package 'Boruta' (Wrapper Algorithm for All Relevant Feature Selection)
 An all relevant feature selection wrapper algorithm.  It finds relevant
 features by comparing original attributes' importance with importance
 achievable at random, estimated using their permuted copies (shadows).

Package: r-cran-bosfr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bosfr_0.1.0-1.ca2004.1_all.deb
Size: 54392
MD5sum: 4f93697270e997f36513c7f3db56578d
SHA1: f678acee3c95c0b6d7058186cf07eb014c4dea4f
SHA256: 1ae7588f9f7a4fab2c514d8891e157e69553e99568bd97601b6a7d04da04d647
SHA512: d0b41e6d2f57c23fc4bbd27c4b226cb1a6a45973e818ca8ebe730a8c0816227bc82dbdaa8533e17e3a5df088a35bf5b6680351233d13c3cff44fa9978519e584
Homepage: https://cran.r-project.org/package=bosfr
Description: CRAN Package 'bosfr' (Computes Exact Bounds of Spearman's Footrule with Missing Data)
 Computes exact bounds of Spearman's footrule in the presence of missing
 data, and performs independence test based on the bounds with controlled
 Type I error regardless of the values of missing data. Suitable only for
 distinct, univariate data where no ties is allowed.

Package: r-cran-boso
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3453
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-mass
Suggests: r-cran-testthat, r-cran-glmnet, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggpubr, r-cran-dplyr, r-cran-kableextra, r-cran-devtools, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-boso_1.0.4-1.ca2004.1_all.deb
Size: 2682376
MD5sum: f65d9b2f3f518081059b60f47653fb8d
SHA1: 5d771be7cdc91beb8c31fab0c17fbe2d1ae86679
SHA256: 99a70ced17078c2627dbe8f87bd5835cc0ed165231d61d27c5df35bb31d3a384
SHA512: 49b8472c4115ce113226793144db8cbc07a0162dd03832b21b5aa9ae6f95d333cc3f96f406fc899a8c7f0c0f63ed228c3e2ea34cb1c8fbddf28dd054f7531217
Homepage: https://cran.r-project.org/package=BOSO
Description: CRAN Package 'BOSO' (Bilevel Optimization Selector Operator)
 A novel feature selection algorithm for linear regression called BOSO
 (Bilevel Optimization Selector Operator). The main contribution is the use a
 bilevel optimization problem to select the variables in the training problem
 that minimize the error in the validation set. Preprint available:
 [Valcarcel, L. V., San Jose-Eneriz, E., Cendoya, X., Rubio, A., Agirre, X.,
 Prosper, F., & Planes, F. J. (2020). "BOSO: a novel feature selection
 algorithm for linear regression with high-dimensional data." bioRxiv.
 <doi:10.1101/2020.11.18.388579>].  In order to run the vignette, it is
 recommended to install the 'bestsubset' package, using the following
 command: devtools::install_github(repo="ryantibs/best-subset",
 subdir="bestsubset").  If you do not have gurobi, run
 devtools::install_github(repo="lvalcarcel/best-subset",
 subdir="bestsubset").  Moreover, to install cplexAPI you can check
 <https://github.com/lvalcarcel/cplexAPI>.

Package: r-cran-bossa
Architecture: all
Version: 3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2273
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-rsqlite, r-cran-jsonlite, r-cran-phangorn, r-cran-plotrix
Suggests: r-cran-prettydoc, r-cran-knitr, r-cran-rmarkdown, r-cran-xml, r-cran-rentrez, r-cran-httr
Filename: pool/dists/focal/main/r-cran-bossa_3.7-1.ca2004.1_all.deb
Size: 1140096
MD5sum: 973607f1eb290e7d04261d01752365fc
SHA1: 179024740ab8ae5845fb7b1dbebc7c1c639b1b68
SHA256: a6bf92ce946257421db2b5704189ef440afedfb4feeb0244318b8d729a6923f2
SHA512: 1029a9a0f67f79a0243ff39e21356e42c037fb4a611579175948e6b6e8a0937c4e503ce33e3c2c7f762a593de436b57e75ddc3e4a69f9860b0adaa5965b02008
Homepage: https://cran.r-project.org/package=BoSSA
Description: CRAN Package 'BoSSA' (A Bunch of Structure and Sequence Analysis)
 Reads and plots phylogenetic placements.

Package: r-cran-bossr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-bossr_1.0.4-1.ca2004.1_all.deb
Size: 25468
MD5sum: 265e96f68cf156f5ba486c6b6eb1f18d
SHA1: c22f5147950d4e52158751be89ceb76e0f237cd1
SHA256: e7e60d25294e56ad564b0244dfceb86dfc0da184bed92d6f3efafe92ced88bb0
SHA512: 3e1c1796649c254c7c81b713e151ff197d7bdde18c325fdad61e3165419e0b8ebe7d0b020287b25eefcf03503c97ec2d08d792ebfba221435ab9374055200e1d
Homepage: https://cran.r-project.org/package=bossR
Description: CRAN Package 'bossR' (Biomarker Optimal Segmentation System)
 The Biomarker Optimal Segmentation System R package, 'bossR', is designed
 for precision medicine, helping to identify individual traits using
 biomarkers. It focuses on determining the most effective cutoff value for a
 continuous biomarker, which is crucial for categorizing patients into two
 groups with distinctly different clinical outcomes. The package
 simultaneously finds the optimal cutoff from given candidate values and
 tests its significance. Simulation studies demonstrate that 'bossR' offers
 statistical power and false positive control non-inferior to the permutation
 approach (considered the gold standard in this field), while being hundreds
 of times faster.

Package: r-cran-botor
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-checkmate, r-cran-logger, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-botor_0.4.1-1.ca2004.1_all.deb
Size: 140136
MD5sum: cbdcf12098ee7a6ded6417c1067716f4
SHA1: b8caf59f3d054a78fe98c796879c0f919b9834cf
SHA256: 21b1f9e002ced375244969edb2814172e7883f1024a6c41d1ce04d3ebbaac187
SHA512: db48e0ec9ed01b7e3bd7bd1038b558996ce870cfe112b372c40c17b80e2567760d4a10f6e0c814d8e1b3cad3b7407ba64c742eac779310f976666041739c8a7f
Homepage: https://cran.r-project.org/package=botor
Description: CRAN Package 'botor' ('AWS Python SDK' ('boto3') for R)
 Fork-safe, raw access to the 'Amazon Web Services' ('AWS') 'SDK' via the
 'boto3' 'Python' module, and convenient helper functions to query the
 'Simple Storage Service' ('S3') and 'Key Management Service' ('KMS'),
 partial support for 'IAM', the 'Systems Manager Parameter Store' and
 'Secrets Manager'.

Package: r-cran-boundarystats
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-pdqr, r-cran-ggplot2, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-igraph, r-cran-fields, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-boundarystats_2.2.0-1.ca2004.1_all.deb
Size: 187960
MD5sum: 6610046c34d4f15b5c1fdb990fe014bf
SHA1: f02622f93fa72e206443d9398d4add6b22a04bda
SHA256: 5c6f6901ed67424fd54bb604e72516f14e57a0d2e141678b069a89de873e121f
SHA512: a664df21918ce4923c326b6e5ac6fe3e57cf87788f21f6dc840cef0ef2cde6e0b728d355d6f66d91cdd9aa4346da90d64a6f3ad8ba629b5f7caa54ef98dc6424
Homepage: https://cran.r-project.org/package=BoundaryStats
Description: CRAN Package 'BoundaryStats' (Boundary Overlap Statistics)
 Analysis workflow for finding geographic boundaries of ecological or
 landscape traits and comparing the placement of geographic boundaries of two
 traits. If data are trait values, trait data are transformed to boundary
 intensities based on approximate first derivatives across latitude and
 longitude. The package includes functions to create custom null models based
 on the input data. The boundary statistics are described in: Fortin,
 Drapeau, and Jacquez (1996) <doi:10.2307/3545584>.

Package: r-cran-boundedgeworth
Architecture: all
Version: 0.1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-expint, r-cran-mathjaxr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boundedgeworth_0.1.2.1-1.ca2004.1_all.deb
Size: 81032
MD5sum: 7b402c11f832e9ec6048da0d42952c43
SHA1: 4f1cebc814969581ff77c97064ad39981adb64a5
SHA256: d280bf5a3b5e363862a79fd41d88e03df9204e5264fd0350358e99b1742ba57f
SHA512: 1f5789f5e632dfab92ab11f79f62eca40c3655e37c1c7e5a0761595136f6a99479b5883e567a0a6d48f06b51bc8d4f510ed6b4794cd71d258b9039a349ef2cbd
Homepage: https://cran.r-project.org/package=BoundEdgeworth
Description: CRAN Package 'BoundEdgeworth' (Bound on the Error of the First-Order Edgeworth Expansion)
 Computes uniform bounds on the distance between the cumulative distribution
 function of a standardized sum of random variables and its first-order
 Edgeworth expansion, following the article Derumigny, Girard, Guyonvarch
 (2021) <arXiv:2101.05780>.

Package: r-cran-boundingbox
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-gplots
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-boundingbox_1.0.1-1.ca2004.1_all.deb
Size: 604040
MD5sum: 8523c627cce4b784489a85172d802aff
SHA1: a1dbbd5acb6d72c818b58832090366d5c778cbeb
SHA256: f8329fd4809ccd41bccafa6bbdc06e93f8716fdc7b6f1d871014fc776e2291a8
SHA512: edfbce8238ad262e0db3ac489feabd8e5c19c70933d9d9ec976b8507abff13aa8714a322bee5728d3543efea349591e224bd12d805a385761453e30396aec8ba
Homepage: https://cran.r-project.org/package=boundingbox
Description: CRAN Package 'boundingbox' (Create a Bounding Box in an Image)
 Generate ground truth cases for object localization algorithms.  Cycle
 through a list of images, select points around which to generate bounding
 boxes and assign classifiers. Output the coordinates, and images annotated
 with boxes and labels. For an example study that uses bounding boxes for
 image localization and classification see Ibrahim, Badr, Abdallah, and Eissa
 (2012) "Bounding Box Object Localization Based on Image Superpixelization"
 <doi:10.1016/j.procs.2012.09.119>.

Package: r-cran-boussinesq
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-boussinesq_1.0.6-1.ca2004.1_all.deb
Size: 29032
MD5sum: c73d88c2404d3c21313e6bd62aa98385
SHA1: 2f2cb3800bbb54d9e56702f1401ede757eb269d0
SHA256: f2f9374ff360010e92fdad5f660b7bdaf5a63b20724106b1a5e06157d443cd9a
SHA512: 41f02dffafcd24e10c67450ea14a421b9163233d4c3ed7ad29e11154ccf8f244b88f55c0960600dc6c9dc0e0bec56e0cdcc73842220d9942232f7b69702eca35
Homepage: https://cran.r-project.org/package=boussinesq
Description: CRAN Package 'boussinesq' (Analytic Solutions for (Ground-Water) Boussinesq Equation)
 A collection of R functions were implemented from published and available
 analytic solutions for the One-Dimensional Boussinesq Equation
 (ground-water). In particular, the function "beq.lin()" is the analytic
 solution of the linearized form of Boussinesq Equation between two different
 head-based boundary (Dirichlet) conditions; "beq.song" is the non-linear
 power-series analytic solution of the motion of a wetting front over a dry
 bedrock (Song at al, 2007, see complete reference on function
 documentation).  Bugs/comments/questions/collaboration of any kind are
 warmly welcomed.

Package: r-cran-boutliers
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-metafor, r-cran-mass
Filename: pool/dists/focal/main/r-cran-boutliers_1.1-2-1.ca2004.1_all.deb
Size: 61464
MD5sum: 5c6bedbd7537d70517085eda32a1eb4e
SHA1: 030157ac7bf7f791c30181d5aa3114ac2622d62a
SHA256: aa500144e250e4444a4caf0e4ec75179debb06ae1f9666a6c0fbacccc0e813f7
SHA512: 4a97d32b7b6c5f181cd155dec9d4b15e2cd8202840a7420d86e93c731a89b049125b14ea28c650e410e64db0984d7aec147fbf9340a767e334acc8c06d5455cc
Homepage: https://cran.r-project.org/package=boutliers
Description: CRAN Package 'boutliers' (Outlier Detection and Influence Diagnostics for Meta-Analysis)
 Computational tools for outlier detection and influence diagnostics of
 meta-analysis. Bootstrap distributions of the influence statistics are
 calculated, and the thresholds to determine outliers are explicitly
 provided.

Package: r-cran-box.linters
Architecture: all
Version: 0.10.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-glue, r-cran-lintr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-withr, r-cran-xfun, r-cran-xml2, r-cran-xmlparsedata
Suggests: r-cran-box, r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-prettycode, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-r6, r-cran-rex, r-cran-rhino, r-cran-shiny, r-cran-spelling, r-cran-testthat, r-cran-treesitter, r-cran-treesitter.r
Filename: pool/dists/focal/main/r-cran-box.linters_0.10.6-1.ca2004.1_all.deb
Size: 371968
MD5sum: 264a2913dddee4cccbad94ab26ad7b5b
SHA1: 3306ba85609cde8c6b9012cbc88220f0873f77e4
SHA256: ab3cb53fde72ea155da39414bce73335b44c383c69d1df244264de2730aeab04
SHA512: 326fd00722d856b58d5b39495be2ae4453e74dbb758c7d37db3e02c424c1c73b32451b497dd2f3ba0b4568178aede7478890301589aec207d1cb6d40a070374e
Homepage: https://cran.r-project.org/package=box.linters
Description: CRAN Package 'box.linters' (Linters for 'box' Modules)
 Static code analysis of 'box' modules.  The package enhances code quality by
 providing linters that check for common issues, enforce best practices, and
 ensure consistent coding standards.

Package: r-cran-box.lsp
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-box, r-cran-cli, r-cran-fs, r-cran-rlang
Suggests: r-cran-languageserver, r-cran-lintr, r-cran-magrittr, r-cran-mockery, r-cran-purrr, r-cran-rprojroot, r-cran-stringi, r-cran-stringr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-box.lsp_0.1.3-1.ca2004.1_all.deb
Size: 20116
MD5sum: 4f50522ac567e33049e81ab5e52d1935
SHA1: 37668aee42d1d321db033ba96c42260d6a9493e2
SHA256: eafb27835428adbc27992aae6bcc738d9a00381d4a1eb504a4a7f11f224a1a93
SHA512: 96b26f448d5d7c93007e4993b862888d553219bc66e897be86c64c1bb0bff9c100cc8c3696b7b0e5f74fac3a26cef1141f3d6c9b232c92a1ee2cc18c1f76a9b2
Homepage: https://cran.r-project.org/package=box.lsp
Description: CRAN Package 'box.lsp' (Provides 'box' Compatibility for 'languageserver')
 A 'box' compatible custom language parser for the 'languageserver' package
 to provide completion and signature hints in code editors.

Package: r-cran-boxcoxmix
Architecture: all
Version: 0.46-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statmod, r-cran-qicharts, r-cran-npmlreg
Suggests: r-cran-nlme, r-cran-mdscore, r-cran-flexmix
Filename: pool/dists/focal/main/r-cran-boxcoxmix_0.46-1.ca2004.1_all.deb
Size: 375396
MD5sum: b391eae4ed8f6f09ba8a146871e0b976
SHA1: 3381dc0d227cd33f9231e42661fbb86846db16e0
SHA256: 3c90e5fdd8e8bde9430bf72680cfebb34f1fb344bb377097ed1f7e112f1fb990
SHA512: d77132cdd2d3023db361725f3d4cb7c120ffe89918e0a29326cd59189f1fbe0f4376df94f4575d119d92e0756b7add0595249ca4546326491fbc79459e21ce28
Homepage: https://cran.r-project.org/package=boxcoxmix
Description: CRAN Package 'boxcoxmix' (Box-Cox-Type Transformations for Linear and Logistic Models withRandom Effects)
 Box-Cox-type transformations for linear and logistic models with random
 effects using non-parametric profile maximum likelihood estimation, as
 introduced in Almohaimeed (2018) <http://etheses.dur.ac.uk/12831/> and
 Almohaimeed and Einbeck (2022) <doi:10.1177/1471082X20966919>. The main
 functions are 'optim.boxcox()' for linear models with random effects and
 'boxcoxtype()' for logistic models with random effects.

Package: r-cran-boxfilter
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1749
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-boxfilter_0.2-1.ca2004.1_all.deb
Size: 519044
MD5sum: 0d347aa8904e28b6784e0b2b6ce57790
SHA1: 1e9af4b2becbca84c6e06b94ee35b04d6126e3e4
SHA256: 6dcf1e75def7f0710f8996107fd46f8d8aa53aaa70033c23fb42f2ef685fd5e9
SHA512: b66c9daf8e48078d73116d06d9d3f2ff9155bdc83c3c480cfc784c559485853fc51268a0b42ce4e733f1ada68e598b74627e87136a32a89c633bc4f77819109c
Homepage: https://cran.r-project.org/package=boxfilter
Description: CRAN Package 'boxfilter' (Filter Noisy Data)
 Noise filter based on determining the proportion of neighboring points. A
 false point will be rejected if it has only few neighbors, but accepted if
 the proportion of neighbors in a rectangular frame is high. The size of the
 rectangular frame as well as the cut-off value, i.e. of a minimum proportion
 of neighbor-points, may be supplied or can be calculated automatically.
 Originally designed for the cleaning of heart rates, but suitable for
 filtering any slowly-changing physiological variable.For more information
 see Signer (2010)<doi:10.1111/j.2041-210X.2009.00010.x>.

Package: r-cran-boxly
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 845
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dt, r-cran-brew, r-cran-rlang, r-cran-crosstalk, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-htmltools, r-cran-metalite, r-cran-plotly, r-cran-uuid
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-boxly_0.1.1-1.ca2004.1_all.deb
Size: 722164
MD5sum: b36e2346c45279de94994422f69bc784
SHA1: 6acf277bcb4d15d14b342bf2514af6d355647019
SHA256: 5bf9d37d5953cf674fe9811a521e480d4b4d7e9bc345be08d3b6d7884269cdf1
SHA512: 8cb92a99fb0d097391978529f891ad8aecb0cd79cf6f337217d4725766172bcc3831ddc66138a86fa3ff06109c660152e3fd25a510ab84da1f09836c24803f66
Homepage: https://cran.r-project.org/package=boxly
Description: CRAN Package 'boxly' (Interactive Box Plot)
 Interactive box plot using 'plotly' for clinical trial analysis.

Package: r-cran-boxplotcluster
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-boxplotcluster_0.3-1.ca2004.1_all.deb
Size: 25464
MD5sum: 9fb550ae0d6e94c6d9735da6b871b0ce
SHA1: 4858d37a38f1d37fcbbffb34e322631f416eb819
SHA256: 9a9779a00a244b1d4d00bf751f0b2aca60948403ea45e4203b2c925187e54282
SHA512: 3f4fca16f527947d200c2f5424c7ede05f61c65a04a08d75ce2f20c6d683d90a7f318f263f0fc3e77d7fe80993e50cf6b646fe86737410f7232a3dba74989cb2
Homepage: https://cran.r-project.org/package=boxplotcluster
Description: CRAN Package 'boxplotcluster' (Clustering Method Based on Boxplot Statistics)
 Following Arroyo-Maté-Roque (2006), the function calculates the distance
 between rows or columns of the dataset using the generalized Minkowski
 metric as described by Ichino-Yaguchi (1994). The distance measure gives
 more weight to differences between quartiles than to differences between
 extremes, making it less sensitive to outliers. Further,the function
 calculates the silhouette width (Rousseeuw 1987) for different numbers of
 clusters and selects the number of clusters that maximizes the average
 silhouette width, unless a specific number of clusters is provided by the
 user. The approach implemented in this package is based on the following
 publications: Rousseeuw (1987) <doi:10.1016/0377-0427(87)90125-7>;
 Ichino-Yaguchi (1994) <doi:10.1109/21.286391>; Arroyo-Maté-Roque (2006)
 <doi:10.1007/3-540-34416-0_7>.

Package: r-cran-boxplotdbl
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-boxplotdbl_1.4.0-1.ca2004.1_all.deb
Size: 53872
MD5sum: acc24b992be70c617773492f6fb6b489
SHA1: fd2825ada434b2d74dd88fcbcc2255ffbfea32ca
SHA256: f306ed45a9e85f709d3cdb4d07ee89b55730a098b6fe71c8f18dd90df43b396a
SHA512: 2c08aa8f1f1ae41fa082ab78bd73b96429705162557ee803a7be304f2e2164379c9f630563a391edcb42396891d7efb8e355d9d6e590c34d7b88e2e715de952b
Homepage: https://cran.r-project.org/package=boxplotdbl
Description: CRAN Package 'boxplotdbl' (Double Box Plot for Two-Axes Correlation)
 Correlation chart of two set (x and y) of data.  Using Quartiles with
 boxplot style.  Visualize the effect of factor.

Package: r-cran-boxr
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-digest, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-magrittr, r-cran-mime, r-cran-purrr, r-cran-rio, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-lifecycle, r-cran-jsonlite, r-cran-jose, r-cran-cli, r-cran-withr
Suggests: r-cran-clipr, r-cran-conflicted, r-cran-gargle, r-cran-here, r-cran-knitr, r-cran-openssl, r-cran-png, r-cran-rmarkdown, r-cran-sodium, r-cran-testthat, r-cran-usethis, r-cran-covr
Filename: pool/dists/focal/main/r-cran-boxr_0.3.7-1.ca2004.1_all.deb
Size: 443152
MD5sum: afee862e6910029a1280eba7e208d9d9
SHA1: f29d96a2f8b1361f5cbdbb35eb3ba694b9ebf1f4
SHA256: 62d4ee215940692949c60f6dd1eb879d374e0ea6970a8ef798298781f614edf3
SHA512: a2c3648f61956fcebac5945d5c4bf115cf751ce26f5905e7b491f44354352a80b113ca7ca8fd9e3ff8e8b55cda92820cb07922612ef266308d5d2971bf9c1f5d
Homepage: https://cran.r-project.org/package=boxr
Description: CRAN Package 'boxr' (Interface for the 'Box.com API')
 An R interface for the remote file hosting service 'Box'
 (<https://www.box.com/>). In addition to uploading and downloading files,
 this package includes functions which mirror base R operations for local
 files, (e.g. box_load(), box_save(), box_read(), box_setwd(), etc.), as well
 as 'git' style functions for entire directories (e.g. box_fetch(),
 box_push()).

Package: r-cran-bp
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4074
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-lubridate, r-cran-ggplot2, r-cran-gridextra, r-cran-cowplot, r-cran-tibble, r-cran-tidyselect, r-cran-gtable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-png
Filename: pool/dists/focal/main/r-cran-bp_2.1.0-1.ca2004.1_all.deb
Size: 1776280
MD5sum: d434e8797d491e4a94022344f0f40858
SHA1: a0c02b3d393483bcf0ee1a91381217b24284f58f
SHA256: 2bcf122d75d9dd4e4ce9c2b7b6900d31a5b1e55396201ce84a1d23edace93f75
SHA512: 1620f89af295dd32fe31f6a9dda4f127ef57c73d2c0a9031e694865604da9bcc3aa1de177e8462cdb66d0889d6301e6481e5c6d4b32a733578a00a2ba57d0689
Homepage: https://cran.r-project.org/package=bp
Description: CRAN Package 'bp' (Blood Pressure Analysis in R)
 A comprehensive package to aid in the analysis of blood pressure data of all
 forms by providing both descriptive and visualization tools for researchers.

Package: r-cran-bpa
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bpa_0.1.1-1.ca2004.1_all.deb
Size: 40420
MD5sum: dfb72f98696a74b4349d33be50375f04
SHA1: ade4f1477315fdb889e9510bbe348fdf97c8b82b
SHA256: 101741321cbd445a4d97ae14d9905426538935fde390a43845d840cc9997f85f
SHA512: def2895ca7f69b0642e84e96ba2e8254dd89fbee852094858f3233a3c3de4867e8a0b8c11a1fc786679a5dafbcd735e2f63e2068873af0eb3a00e4e328ded11d
Homepage: https://cran.r-project.org/package=bpa
Description: CRAN Package 'bpa' (Basic Pattern Analysis)
 Run basic pattern analyses on character sets, digits, or combined input
 containing both characters and numeric digits. Useful for data cleaning and
 for identifying columns containing multiple or nonstandard formats.

Package: r-cran-bpbounds
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bpbounds_0.1.6-1.ca2004.1_all.deb
Size: 62804
MD5sum: bd5d97fca76ba04927fdae077b2b4fd5
SHA1: 87048c79ea498b3d33e5b96cba107fc16674024b
SHA256: d6ac080fb0a161b72a7063d1f88a98de55d958d2d759da9101642a2b1529d9d4
SHA512: 9ae0f7cbb042ab358b59cfd8b285175a1b09a956e0b7c0db13954953c161d39bfb84af43f578ebb8a54f32012926fefed2b50ad59ed7b9049c3e30fb87bb7226
Homepage: https://cran.r-project.org/package=bpbounds
Description: CRAN Package 'bpbounds' (Nonparametric Bounds for the Average Causal Effect Due to Balkeand Pearl and Extensions)
 Implementation of the nonparametric bounds for the average causal effect
 under an instrumental variable model by Balke and Pearl (Bounds on Treatment
 Effects from Studies with Imperfect Compliance, JASA, 1997, 92, 439,
 1171-1176, <doi:10.2307/2965583>). The package can calculate bounds for a
 binary outcome, a binary treatment/phenotype, and an instrument with either
 2 or 3 categories.  The package implements bounds for situations where these
 3 variables are measured in the same dataset (trivariate data) or where the
 outcome and instrument are measured in one study and the treatment/phenotype
 and instrument are measured in another study (bivariate data).

Package: r-cran-bpca
Architecture: all
Version: 1.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-scatterplot3d, r-cran-rgl, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-bpca_1.3-6-1.ca2004.1_all.deb
Size: 256372
MD5sum: 7594ce3c6fd9c59cc5233b153b9a91d8
SHA1: 8396bfdd07c6a386a0ba202095e2b0bbf4916b63
SHA256: 43c64d55318159ac242d164bd00cca4883ce83e6dc6489f18dd066973aec06ad
SHA512: 7655d12880f0d4b8ce04e140cf8c50dd84356f6223dcd44519364a486deed843beec969515eb128ff3cf14bb82b52f74a4a3aa07f207d2049187d46a1bd266cf
Homepage: https://cran.r-project.org/package=bpca
Description: CRAN Package 'bpca' (Biplot of Multivariate Data Based on Principal ComponentsAnalysis)
 Implements biplot (2d and 3d) of multivariate data based on principal
 components analysis and diagnostic tools of the quality of the reduction.

Package: r-cran-bpcp
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 552
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bpcp_1.4.2-1.ca2004.1_all.deb
Size: 441036
MD5sum: 50fda0cccb8aaeb61d3cd616c2357245
SHA1: 1aff9fd051183855e801760f020ab0d665a56a50
SHA256: 519e1aa64553eb8cc89f13773e6a97c9372aba5b81eed3241619a8426f97f1c3
SHA512: c4fcc223392bf0929d92f64e305ddaf2d9f428db6de826f05984735bbf67cfc5cc07a2aabf9022e3c4dbbd7b340287c7c26b63ca3874033385f54028d200042e
Homepage: https://cran.r-project.org/package=bpcp
Description: CRAN Package 'bpcp' (Beta Product Confidence Procedure for Right Censored Data)
 Calculates nonparametric pointwise confidence intervals for the survival
 distribution for right censored data, and for medians [Fay and Brittain
 <DOI:10.1002/sim.6905>]. Has two-sample tests for dissimilarity (e.g.,
 difference, ratio or odds ratio) in survival at a fixed time, and
 differences in medians [Fay, Proschan, and Brittain
 <DOI:10.1111/biom.12231>]. Basically, the package gives exact inference
 methods for one- and two-sample exact inferences for Kaplan-Meier curves
 (e.g., generalizing Fisher's exact test to allow for right censoring), which
 are especially important for latter parts of the survival curve, small
 sample sizes or heavily censored data. Includes mid-p options.

Package: r-cran-bpdir
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-plotrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-bpdir_0.1.2-1.ca2004.1_all.deb
Size: 69780
MD5sum: 13348e433ebe87c78bef0341e3eee32c
SHA1: df9acfc05971c0bc1701f80d536c947274924ee1
SHA256: 2ae2568a7977afac525f84c9b47897acfb5437b23dc30d11b7e9ea853ddc4494
SHA512: 5cc3fff42277e80cfd0bc6ab7559a1c73c743c6d7edc70fc33876cf47697c127346c82358a0633075972c78b2b02013767f614f27965e507a866f1af1d8b30e2
Homepage: https://cran.r-project.org/package=bpDir
Description: CRAN Package 'bpDir' (Boxplots for Directional Data)
 Functions for drawing boxplots for data on (the boundary of) a unit circle
 (i.e., circular and axial data), from Buttarazzi D., Pandolfo G., Porzio
 G.C. (2018) <doi:10.1111/biom.12889>.

Package: r-cran-bplsr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1829
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-progress, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-bplsr_1.0.3-1.ca2004.1_all.deb
Size: 1834788
MD5sum: e42f0f25e73a160c01a898b993cd25b0
SHA1: 48347d8f052da2d7dab7fb3203a8f500b2851505
SHA256: b43cb5af99cd78b7fed3dedd0db0a1ef320d68b40783fad5b11fd402d69960aa
SHA512: ae495610f88157d3a043be2e703675d6ca73df3f90bbfebe9bd6394cfa260ca03b15b6c1a9a37a93528d2936b81bcf46f7a37b74e716d1482f87c9ae9bedecfb
Homepage: https://cran.r-project.org/package=bplsr
Description: CRAN Package 'bplsr' (Bayesian partial least squares regression)
 Fits the Bayesian partial least squares regression model introduced in Urbas
 et al. (2024) <doi:10.1214/24-AOAS1947>. Suitable for univariate and
 multivariate regression with high-dimensional data.

Package: r-cran-bpm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-bpm_1.0.0-1.ca2004.1_all.deb
Size: 2528692
MD5sum: 1d877a329b57a24dd06114a075b6e1af
SHA1: 559572b5a0559a809b527cdaf7c1ed25d36e724d
SHA256: 8c8359c91cacf555c28a80f84fed2af90701d74d26a8139314a1e66466c5f7e6
SHA512: 6303c71788d3b1a64cfe460fd6b736a19d438cbed9f1a09616ff010b1141afa956f2406e15cf9fae5ff6c291942896f9240310753455e57442b12bfa9a5fb241
Homepage: https://cran.r-project.org/package=BPM
Description: CRAN Package 'BPM' (Bayesian Purity Model to Estimate Tumor Purity)
 Bayesian purity model to estimate tumor purity using methylation array data
 (DNA methylation Infinium 450K array data) without reference samples.

Package: r-cran-bpmnr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 870
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dplyr, r-cran-htmltools, r-cran-htmlwidgets, r-cran-purrr, r-cran-rvest, r-cran-tidyr, r-cran-uuid, r-cran-dt, r-cran-rlang, r-cran-knitr, r-cran-huxtable, r-cran-stringr, r-cran-readr, r-cran-xml2, r-cran-glue
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bpmnr_0.1.1-1.ca2004.1_all.deb
Size: 222672
MD5sum: 35db974495ef95fc2a622641feac8a62
SHA1: c46c87a11f37c6190fe427a1fb7f87a06d8f9d07
SHA256: fba10440e44e5d8db34f6eb19dccf41dffffb69e1c9707ba4b7c808ecc2fb6d9
SHA512: c60d2cbf4ab29bd41f43dc7a290f8c102eb3e6be701fd5c36d075f52ed825e56143b37bfd88284cd60634a26b8b681cd35b0f3de6c7213db31454b0cd4c85608
Homepage: https://cran.r-project.org/package=bpmnR
Description: CRAN Package 'bpmnR' (Support for BPMN (Business Process Management Notation) Models)
 Creating, rendering and writing BPMN diagrams <https://www.bpmn.org/>.
 Functionalities can be used to visualize and export BPMN diagrams created
 using the 'pm4py' and 'bupaRminer' packages. Part of the 'bupaR' ecosystem.

Package: r-cran-bpmnvisualizationr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-rlang, r-cran-xml2
Suggests: r-cran-shiny, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bpmnvisualizationr_0.5.0-1.ca2004.1_all.deb
Size: 250312
MD5sum: 833f82ffc210cc70f2d354f25ce45846
SHA1: 49efb299640dea05800b1614a408667de96a99e1
SHA256: aef5cc2976a50526aabca4c9974d7a51fde1ee82e708505aaae8da6b321737a7
SHA512: 349e633c064ad91daf43f6da8d9e2253b0d5a4ac6df6c4bada2a18a3b2ae03c6bc2af3001e030e90d266bfbd41c6eb50219cc9b2e286191adf34d70f4472cbc9
Homepage: https://cran.r-project.org/package=bpmnVisualizationR
Description: CRAN Package 'bpmnVisualizationR' (Visualize Process Execution Data on 'BPMN' Diagrams)
 To visualize the execution data of the processes on 'BPMN' (Business Process
 Model and Notation) diagrams, using overlays, style customization and
 interactions, with the 'bpmn-visualization' 'TypeScript' library.

Package: r-cran-bpmodel
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-extradistr, r-cran-gamlss, r-cran-gamlss.dist, r-cran-ggplot2, r-cran-deriv, r-cran-dplyr, r-cran-pracma
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bpmodel_1.1.2-1.ca2004.1_all.deb
Size: 117172
MD5sum: d8c9d2e859c476acbc58b0fa9bd71b82
SHA1: 0e452062fe8033979c5dff84869528ca3a829575
SHA256: 4c522d344c94c4f9e1a0305570e647b676e28c230c10f3a9144658a6cee5b58d
SHA512: 2d2cd8926cec25c28d5cbf7949e3d0c42a5f4a612667a9ee8d32106a10b360f6d0a58442a751d5c07009bc6d465985c00ab9d30741de36e21cd7f6bbd8206559
Homepage: https://cran.r-project.org/package=BPmodel
Description: CRAN Package 'BPmodel' (Beta-Prime Regression Model)
 A new regression model for positive random variables with skewed and long
 tail.

Package: r-cran-bpp
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bpp_1.0.6-1.ca2004.1_all.deb
Size: 155816
MD5sum: bc04a79a7a839f0e8903905fa479cad3
SHA1: 41a4332ea45b8663f12d803d66ed47b1f6c5df16
SHA256: affc8f9b3999ba118ac15fedc6223042f2939ff9771acdad5f2c162652d6a790
SHA512: 27d50439315864052bdf0773edabbf391615c5aef6c586daa2a1870db69564b8560c2dae34351c7cd6eb4ddc8101e57712194315dacd3abd3b308932afe99829
Homepage: https://cran.r-project.org/package=bpp
Description: CRAN Package 'bpp' (Computations Around Bayesian Predictive Power)
 Implements functions to update Bayesian Predictive Power Computations after
 not stopping a clinical trial at an interim analysis. Such an interim
 analysis can either be blinded or unblinded. Code is provided for Normally
 distributed endpoints with known variance, with a prominent example being
 the hazard ratio.

Package: r-cran-bqror
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-pracma, r-cran-gigrvg, r-cran-truncnorm, r-cran-npflow, r-cran-invgamma, r-cran-progress
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bqror_1.7.1-1.ca2004.1_all.deb
Size: 285884
MD5sum: 6d2db1d175d53877f270e3b95de4d7da
SHA1: 4f19a2795691ce7b71ff7dc9cb9bbae4523a81de
SHA256: 16687d342bc36ac2363f9ad532c9a8af7cec2002ff71863c0e84714bb3a8a162
SHA512: 28a7242aa6aaf60a48481f6a88b171f24436c22b7e0a149a1e7341bfef34abfe8eb1c0b64b7fc1fa6ccc6821890f18875d45d9a29e1a4f3dbedba5dfdcdbaa6c
Homepage: https://cran.r-project.org/package=bqror
Description: CRAN Package 'bqror' (Bayesian Quantile Regression for Ordinal Models)
 Package provides functions for estimation and inference in Bayesian quantile
 regression with ordinal outcomes. An ordinal model with 3 or more outcomes
 (labeled OR1 model) is estimated by a combination of Gibbs sampling and
 Metropolis-Hastings (MH) algorithm. Whereas an ordinal model with exactly 3
 outcomes (labeled OR2 model) is estimated using a Gibbs sampling algorithm.
 The summary output presents the posterior mean, posterior standard
 deviation, 95% credible intervals, and the inefficiency factors along with
 the two model comparison measures – logarithm of marginal likelihood and the
 deviance information criterion (DIC). The package also provides functions
 for computing the covariate effects and other functions that aids either the
 estimation or inference in quantile ordinal models.  Rahman, M. A.
 (2016).“Bayesian Quantile Regression for Ordinal Models.” Bayesian Analysis,
 11(1): 1-24 <doi: 10.1214/15-BA939>.  Yu, K., and Moyeed, R. A. (2001).
 “Bayesian Quantile Regression.” Statistics and Probability Letters, 54(4):
 437–447 <doi: 10.1016/S0167-7152(01)00124-9>.  Koenker, R., and Bassett, G.
 (1978).“Regression Quantiles.” Econometrica, 46(1): 33-50 <doi:
 10.2307/1913643>.  Chib, S. (1995). “Marginal likelihood from the Gibbs
 output.” Journal of the American Statistical Association, 90(432):1313–1321,
 1995. <doi: 10.1080/01621459.1995.10476635>.  Chib, S., and Jeliazkov, I.
 (2001). “Marginal likelihood from the Metropolis-Hastings output.” Journal
 of the American Statistical Association, 96(453):270–281, 2001. <doi:
 10.1198/016214501750332848>.

Package: r-cran-bracatus
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 844
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-geojsonio, r-cran-jsonlite, r-cran-plotfunctions, r-cran-raster, r-cran-rgbif, r-cran-rnaturalearth, r-cran-sf, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bracatus_2.0.0-1.ca2004.1_all.deb
Size: 756588
MD5sum: 5f10e7dc3ec53b67b2db82e885b145ef
SHA1: f3ce7682ca45b88eeb99bbe6b617d8ec2490c21c
SHA256: 87f137a62aae1383248c28a5ab25d0ae3cd341c728a66650815373adb97ca655
SHA512: d3d58774eea3379d0e917db70fc7a7ec0cf16348f86c299d44eb9f9216187293ca802e62c32a16d7894af595e908ca22b9732c0589fad4f787e596551c207089
Homepage: https://cran.r-project.org/package=bRacatus
Description: CRAN Package 'bRacatus' (A Method to Estimate the Accuracy and Biogeographical Status ofGeoreferenced Biological Data)
 Automated assessment of accuracy and geographical status of georeferenced
 biological data. The methods rely on reference regions, namely checklists
 and range maps. Includes functions to obtain data from the Global
 Biodiversity Information Facility <https://www.gbif.org/> and from the
 Global Inventory of Floras and Traits <https://gift.uni-goettingen.de/home>.
 Alternatively, the user can input their own data. Furthermore, provides easy
 visualisation of the data and the results through the plotting functions.
 Especially suited for large datasets. The reference for the methodology is:
 Arlé et al. (under review).

Package: r-cran-brace
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-survminer
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brace_0.1.0-1.ca2004.1_all.deb
Size: 60416
MD5sum: 0449b834216e9818cd9a165eff38edb6
SHA1: f6d1851c1f03b840a5a4155a507c300365201629
SHA256: aa343f56d95383fb1a39ae05e54711e038b7baa136c3c447b96c9dd5a0fa3cbe
SHA512: e176c6ba0c29da904098870fcc9e33cf25f08343454e2678e504d6e164db1833aa884ecb89d41784ab51f7184ab1f91f895a6285848bb1fbf543c607fc071670
Homepage: https://cran.r-project.org/package=BRACE
Description: CRAN Package 'BRACE' (Bias Reduction Through Analysis of Competing Events (BRACE))
 Adjusting the bias due to residual confounding (often called treatment
 selection bias) in estimating the treatment effect in a proportional hazard
 model, as described in Williamson et al.  (2022)
 <doi:10.1158/1078-0432.ccr-21-2468>.

Package: r-cran-bracer
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-bracer_1.2.2-1.ca2004.1_all.deb
Size: 56472
MD5sum: 1aeb13ebb60f29aeaf199819d47c37ba
SHA1: 25f19c8e0b36238ebebbde8d7208605eae7c8957
SHA256: 4d8d3e4b1167437c94a6dbd148ced1257fbcd441eea674653f5997939e212e12
SHA512: 26c15efcca335bbb0ae19681cf64d6475f664b62819ccfabb506417bdafa6c40244cebd589605987a50eb31ea61f0d56a2d903da2f90fafa7fdf6ede2d00a722
Homepage: https://cran.r-project.org/package=bracer
Description: CRAN Package 'bracer' (Brace Expansions)
 Performs brace expansions on strings.  Made popular by Unix shells, brace
 expansion allows users to concisely generate certain character vectors by
 taking a single string and (recursively) expanding the comma-separated lists
 and double-period-separated integer and character sequences enclosed within
 braces in that string.  The double-period-separated numeric integer
 expansion also supports padding the resulting numbers with zeros.

Package: r-cran-bracod.r
Architecture: all
Version: 0.0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bracod.r_0.0.2.0-1.ca2004.1_all.deb
Size: 97276
MD5sum: a52da6cbb495021d70885a9eaf337007
SHA1: f83bdb35a93b5c3acf503662f1903cacd0e230c5
SHA256: 8a53d7808a9f1dbea852c5a1d8190665dc1b8653a1846c40a5eb99b6ff71b6d5
SHA512: 9cbd55f2c35116caa0f575ebf3cba8928d8af6e9187ad0defce579de282e9c47b2733ac419b3c38cc91eed68082a181ca9bf739277fc88a0690ad575f3fae39d
Homepage: https://cran.r-project.org/package=BRACoD.R
Description: CRAN Package 'BRACoD.R' (BRACoD: Bayesian Regression Analysis of Compositional Data)
 The goal of this method is to identify associations between bacteria and an
 environmental variable in 16S or other compositional data. The environmental
 variable is any variable which is measure for each microbiome sample, for
 example, a butyrate measurement paired with every sample in the data.
 Microbiome data is compositional, meaning that the total abundance of each
 sample sums to 1, and this introduces severe statistical distortions. This
 method takes a Bayesian approach to correcting for these statistical
 distortions, in which the total abundance is treated as an unknown variable.
 This package runs the python implementation using reticulate.

Package: r-cran-brada
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1415
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fbst, r-cran-extradistr, r-cran-doparallel, r-cran-foreach, r-cran-dosnow, r-cran-progress, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dt
Filename: pool/dists/focal/main/r-cran-brada_1.0-1.ca2004.1_all.deb
Size: 829148
MD5sum: b97c189a8f168ea4b5cf35c6caee4808
SHA1: 56cc810fe3a6621d17cc1d7575ccc2756dd67aad
SHA256: ad4c93ec3582f1f723de5779681c0ac266a4e7258fc93f8eb777845731e29994
SHA512: a19625dafce0e9973ae70ba95e1168d1b6f5f2ffd8295153fc84235433c40ea17dc7d4152c5377d5b735b4c762311f6a409af0cf407598567617a32b083580c1
Homepage: https://cran.r-project.org/package=brada
Description: CRAN Package 'brada' (Bayesian Response-Adaptive Design Analysis)
 Provides access to a range of functions for analyzing, applying and
 visualizing Bayesian response-adaptive trial designs for a binary endpoint.
 Includes the predictive probability approach and the predictive evidence
 value designs for binary endpoints.

Package: r-cran-bradleyterry2
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brglm, r-cran-gtools, r-cran-lme4, r-cran-qvcalc
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-litedown, r-cran-prefmod, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bradleyterry2_1.1.3-1.ca2004.1_all.deb
Size: 392920
MD5sum: 64d241171662b5b03fc97fbd19df1fd1
SHA1: 9e6643f289dc812911a38ef25c2e4208527fb10e
SHA256: 4a8c3e23e8cf9a25a1737cf1c86bbdda917082df4c9608e7b3ae037ac7fbc5d8
SHA512: b5a241ea839d3ff1cc6e7f45f5bdeeefe5a980a0e2b9b060022d9caa69abed0ecd5214b910d353eb20e00c80e318bdcaf25be920b47f87677e7941b1ec048613
Homepage: https://cran.r-project.org/package=BradleyTerry2
Description: CRAN Package 'BradleyTerry2' (Bradley-Terry Models)
 Specify and fit the Bradley-Terry model, including structured versions in
 which the parameters are related to explanatory variables through a linear
 predictor and versions with contest-specific effects, such as a home
 advantage.

Package: r-cran-braidreports
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1524
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-braidrm, r-cran-ggplot2, r-cran-basicdrm, r-cran-cowplot, r-cran-gtable, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-braidreports_1.0.1-1.ca2004.1_all.deb
Size: 1259988
MD5sum: 751dec2448b3f148e5dbda83ad474728
SHA1: 71d1ec7eb8b28e0db65491e77c67b60ac658173e
SHA256: fb2a7074501952daa4280cd0cfe8fded4172bbb9f065d735b53fd80fca950b35
SHA512: 73e6da7093c1fd6f8d959c603ea7f0dc87f7e2ce4a24ab23b42ed575e9d41d3be3ff40127567ef3f178b5a760f77fbd31c5b6b2fb00f35258d3978fa055bac51
Homepage: https://cran.r-project.org/package=braidReports
Description: CRAN Package 'braidReports' (Visualize Combined Action Response Surfaces and Report BRAIDAnalyses)
 Provides functions to visualize combined action data in 'ggplot2'.  Also
 provides functions for producing full BRAID analysis reports with custom
 layouts and aesthetics, using the BRAID method originally described in
 Twarog et al. (2016) <doi:10.1038/srep25523>.

Package: r-cran-braidrm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 932
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-basicdrm
Suggests: r-cran-braidreports, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-braidrm_1.0.3-1.ca2004.1_all.deb
Size: 673152
MD5sum: 6fbf8ddeb93403e1c527aa39493cbdef
SHA1: 0a4de66436197467545d7ce2e98b46ac5e040e8c
SHA256: eacad88952b2fa61de30eff0a40c22ced75ed0566ac8b64dde23e6ff1c81d761
SHA512: ae9057400cea0e60c485facea50e0a5e368403532532d3902b77d0f64042112f035ac79c489379ab075f4a3e85ff673f549eb36a7b838e2590b32ca246a2d3de
Homepage: https://cran.r-project.org/package=braidrm
Description: CRAN Package 'braidrm' (Fitting Combined Action with the BRAID Response Surface Model)
 Contains functions for evaluating, analyzing, and fitting combined action
 dose response surfaces with the Bivariate Response to Additive Interacting
 Doses (BRAID) model of combined action, along with tools for implementing
 other combination analysis methods, including Bliss independence,
 combination index, and additional response surface methods.

Package: r-cran-braids
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maybe
Filename: pool/dists/focal/main/r-cran-braids_1.0.0-1.ca2004.1_all.deb
Size: 74532
MD5sum: 288fb3ba655577cf11c13752a223a6ce
SHA1: 3330823239d41e520a26fd3be2705a5356b4b84e
SHA256: ab113e5721cf4495798df0ce40e1b260694f5c8d4675a18c92603663bf7c5892
SHA512: 1f7b81352f89aabec06b0969d9e4863b9f19ba2182759921de29986ec245ef35bab4ca3d50e287885fb20bff9b515cdc1119db153935497881835180e17d1663
Homepage: https://cran.r-project.org/package=braids
Description: CRAN Package 'braids' (The Braid Groups)
 Deals with the braid groups. Includes creation of some specific braids,
 group operations, free reduction, and Bronfman polynomials. Braid theory has
 applications in fluid mechanics and quantum physics. The code is adapted
 from the 'Haskell' library 'combinat', and is based on Birman and Brendle
 (2005) <doi:10.48550/arXiv.math/0409205>.

Package: r-cran-brailler
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3657
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools, r-cran-dplyr, r-cran-extrafont, r-cran-ggplot2, r-cran-gridgraphics, r-cran-gridsvg, r-cran-hunspell, r-cran-knitr, r-cran-mathjaxr, r-cran-moments, r-cran-quarto, r-cran-rdpack, r-cran-rmarkdown, r-cran-roloc, r-cran-rolocisccnbs, r-cran-tidyr, r-cran-whisker, r-cran-xml, r-cran-xtable
Suggests: r-cran-broom, r-cran-emmeans, r-cran-ggfortify, r-cran-installr, r-cran-lmtest, r-cran-markdown, r-cran-multcomp, r-cran-nortest, r-cran-rstatix, r-cran-spelling, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-brailler_1.0.2-1.ca2004.1_all.deb
Size: 1231872
MD5sum: 5eb7912bf82a1854d4ca81ef82146b16
SHA1: 179c6a5c60bc63eb16464730b303d0fd4650c3ae
SHA256: 7033ec7b8470343dbbb63a9071b1b779901f28217e7d370c95799203a3e91a23
SHA512: 102546028a48e6b6dcca776466ef6a9b6fd9a36dc33d9071da20001fc683168e1e66979d8e21c7a25748550d7e5e5a3140233f3470e802edf550a65b784775d4
Homepage: https://cran.r-project.org/package=BrailleR
Description: CRAN Package 'BrailleR' (Improved Access for Blind Users)
 Blind users do not have access to the graphical output from R without
 printing the content of graphics windows to an embosser of some kind. This
 is not as immediate as is required for efficient access to statistical
 output.  The functions here are created so that blind people can make even
 better use of R. This includes the text descriptions of graphs, convenience
 functions to replace the functionality offered in many GUI front ends, and
 experimental functionality for optimising graphical content to prepare it
 for embossing as tactile images.

Package: r-cran-braincon
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-mass
Filename: pool/dists/focal/main/r-cran-braincon_0.3.0-1.ca2004.1_all.deb
Size: 195944
MD5sum: 1ef2e4f9b4edc9b1f89201031186879b
SHA1: a8f638ce468dc5618f2a9000dc21ef5e8ded5bc8
SHA256: d5120634493ecd696f7dc7f51ba7d0c80582be06b50fc00f5e5756c569beb1bd
SHA512: d5379ffd2eb0aaa03ac68cb25145c00ac64c71857132a803a3cc7ad538a070faf85a776b15bdbe32289f638301fdedae05a355e5d64fe709cd16aa7f1e588ec7
Homepage: https://cran.r-project.org/package=BrainCon
Description: CRAN Package 'BrainCon' (Inference the Partial Correlations Based on Time Series Data)
 A statistical tool to inference the multi-level partial correlations based
 on multi-subject time series data, especially for brain functional
 connectivity. It combines both individual and population level inference by
 using the methods of Qiu and Zhou. (2021)<DOI:
 10.1080/01621459.2021.1917417> and Genovese and Wasserman. (2006)<DOI:
 10.1198/016214506000000339>. It realizes two reliable estimation methods of
 partial correlation coefficients, using scaled lasso and lasso. It can be
 used to estimate individual- or population-level partial correlations,
 identify nonzero ones, and find out unequal partial correlation coefficients
 between two populations.

Package: r-cran-braingraph
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2323
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-abind, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-lattice, r-cran-mass, r-cran-matrix, r-cran-permute
Suggests: r-cran-hmisc, r-cran-ade4, r-cran-boot, r-cran-car, r-cran-expm, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-mediation, r-cran-oro.nifti, r-cran-scales
Filename: pool/dists/focal/main/r-cran-braingraph_3.1.0-1.ca2004.1_all.deb
Size: 2263732
MD5sum: 45d97c9fc7f5db1e93552b583c46a6e8
SHA1: 1aa911244a3b5571ae39cdd27cf054788c3eedf2
SHA256: ae06a0da1a68d07bd97a5900972036d34bc2a2612d9f6518058d60cc13c9df62
SHA512: f6b2feba3c6dc79f9e20df66ef5788ba9ecb1aff13f1fcad24df927b4660af2f5bf89c2f9892885de75144d4b41aea133360bdd594f4709b3c237c31e5a996e7
Homepage: https://cran.r-project.org/package=brainGraph
Description: CRAN Package 'brainGraph' (Graph Theory Analysis of Brain MRI Data)
 A set of tools for performing graph theory analysis of brain MRI data. It
 works with data from a Freesurfer analysis (cortical thickness, volumes,
 local gyrification index, surface area), diffusion tensor tractography data
 (e.g., from FSL) and resting-state fMRI data (e.g., from DPABI). It contains
 a graphical user interface for graph visualization and data exploration,
 along with several functions for generating useful figures.

Package: r-cran-brainkcca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2661
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cca, r-cran-kernlab, r-cran-elasticnet, r-cran-rgl, r-cran-brainr, r-cran-misc3d, r-cran-oro.nifti, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brainkcca_0.1.0-1.ca2004.1_all.deb
Size: 2469120
MD5sum: e1becde0937ce9defb4f02ea77192573
SHA1: c759c346bca1dcabe4538e0627c49fbec46d6c8d
SHA256: 7dc59fd28703aa1c9338751ce6db4e81fed85485e7ee68b36dda34b2619fe42a
SHA512: e4cc1ebb9bec3c5bff48a36fc6f765c5307b190fa6a67f8659b682a0664daab2c9467975d8181be70c9ecf73302ea704b0379ca97c1d3a58ac774a610423d475
Homepage: https://cran.r-project.org/package=brainKCCA
Description: CRAN Package 'brainKCCA' (Region-Level Connectivity Network Construction via KernelCanonical Correlation Analysis)
 It is designed to calculate connection between (among) brain regions and
 plot connection lines. Also, the summary function is included to summarize
 group-level connectivity network. Kang, Jian (2016)
 <doi:10.1016/j.neuroimage.2016.06.042>.

Package: r-cran-brainr
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-misc3d, r-cran-oro.nifti
Suggests: r-cran-servr
Filename: pool/dists/focal/main/r-cran-brainr_1.7.0-1.ca2004.1_all.deb
Size: 3928800
MD5sum: d70d83e5c87ea56179f5ca119b5dfc1b
SHA1: f8ec391085140a722e6194d2264ad7f375676de8
SHA256: b459a7769a0dde568f03525e3f258cc37b2751b454f67e586d006f7e44972e8f
SHA512: cf099ebda6b07b34569eed49416cd6ade77f315a3c67a7b02af8c8654fa13d3ed72a62bb5548fbbd0ea7111ccf7bae35affeb1ea8d26f1d4e05e4f098fcde6eb
Homepage: https://cran.r-project.org/package=brainR
Description: CRAN Package 'brainR' (Helper Functions to 'misc3d' and 'rgl' Packages for BrainImaging)
 This includes functions for creating 3D and 4D images using 'WebGL', 'rgl',
 and 'JavaScript' commands.  This package relies on the X toolkit ('XTK',
 <https://github.com/xtk/X#readme>).

Package: r-cran-branchingprocess
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-branchingprocess_0.1.0-1.ca2004.1_all.deb
Size: 51572
MD5sum: c1516a84f4a38f36ef2d80d7cd905a1c
SHA1: 09367a49ed619924d74a0e9a7e93e468a57a8f0c
SHA256: 0e16981098610dd0b630c89141a6305cebfd84d5025707e1f4fbcaf8ee732e3f
SHA512: 46415947a736b1d620be38e02d4368a23c3802745fe05e898433849cd42c27bd1dc75da53d4c9a671df5dbfff41ebf8407e8b8f76e90eaa7ec2cec047bff44df
Homepage: https://cran.r-project.org/package=branchingprocess
Description: CRAN Package 'branchingprocess' (Calculate Outbreak Probabilities for a Branching Process Model)
 Quantify outbreak risk posed by individual importers of a transmissible
 pathogen. Input parameters of negative binomial offspring distributions for
 the number of transmissions from each infected individual and initial number
 of infected. Calculate probabilities of final outbreak size and generations
 of transmission, as described in Toth et al. (2015)
 <doi:10.3201/eid2108.150170> and Toth et al. (2016)
 <doi:10.1016/j.epidem.2016.04.002>.

Package: r-cran-brandr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-colorspace, r-cran-dplyr, r-cran-here, r-cran-lifecycle, r-cran-ggplot2, r-cran-yaml
Suggests: r-cran-bslib, r-cran-covr, r-cran-hexbin, r-cran-knitr, r-cran-magrittr, r-cran-palmerpenguins, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-brandr_0.1.0-1.ca2004.1_all.deb
Size: 480972
MD5sum: db10ecc7143aa847f37ecf3d185a603d
SHA1: 936ec55dc275ef7982b03e7e7e2223e6cd7079b3
SHA256: 2fc8dbeaba5f6865e81c2bbaa5c4a07031013bad01eac3a3ffc887313c22b4e9
SHA512: 0aae3557ba39308716bb3e2f7d5ec2663bb35af423a9a66154966b8ba9f08fb4ac9c7a0db33bea5d95a8e2489baad44a4a3675a01cf8297bd89fa47f0b23b17c
Homepage: https://cran.r-project.org/package=brandr
Description: CRAN Package 'brandr' (Brand Identity Management Using brand.yml Standard)
 A system to facilitate brand identity management using the brand.yml
 standard, providing functions to consistently access and apply brand colors,
 typography, and other visual elements across your R projects.

Package: r-cran-brandwatchr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brandwatchr_0.3.0-1.ca2004.1_all.deb
Size: 104076
MD5sum: d65256ae64867780ac12d4ffe52941d9
SHA1: b65b1e65ff2991b71e183ae4c062f5aa2fb8dfcd
SHA256: cb9952cc19229228e206db4db3530c12d8d662ea79127022bfed894f82a6ba99
SHA512: 835bfa9aa23f6cf0c27e23cc9c73192798c205d1d52644c13e9317da380174fbbfba7cf5a74f7d34de6d5440ec61da0539e65bcee6040bb2ad24887ca33d8a55
Homepage: https://cran.r-project.org/package=brandwatchR
Description: CRAN Package 'brandwatchR' ('Brandwatch' API to R)
 Interact with the 'Brandwatch' API <https://developers.brandwatch.com/docs>.
 Allows you to authenticate to the API and obtain data for projects, queries,
 query groups tags and categories.  Also allows you to directly obtain
 mentions and aggregate data for a specified query or query group.

Package: r-cran-brant
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-brant_0.3-0-1.ca2004.1_all.deb
Size: 25760
MD5sum: 96d7c4d5ebb98098d7d319c15dbbf8f4
SHA1: 3d2ccc0bafc01cb689ae805b0beafff5d8aa3ec1
SHA256: 3f1369b13336c1d56cb1b139dcd3850241b5425f30940f3f73fdb1b6b908c93c
SHA512: 5b1a5b9b7294e6f996bf59b2f65491d43fdaaed2dcfa8d0e6408569e57f5570077ab0a0d474602c5ba2d387a1ec734a4c7ca7305f8f6b9e8ecb00895bddd1729
Homepage: https://cran.r-project.org/package=brant
Description: CRAN Package 'brant' (Test for Parallel Regression Assumption)
 Tests the parallel regression assumption wit the brant test by Brant (1990)
 <doi: 10.2307/2532457> for ordinal logit models generated with the function
 polr() from the package 'MASS'.

Package: r-cran-braqca
Architecture: all
Version: 1.4.11.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qca, r-cran-bootstrap
Filename: pool/dists/focal/main/r-cran-braqca_1.4.11.27-1.ca2004.1_all.deb
Size: 46776
MD5sum: 5c5a561810e8306487ad907800d01f7c
SHA1: 7e0f56fa99c52b0cb292a3d75833413d1b7f82ce
SHA256: 8adb01c3fe8582cdfa1e3c588589aecf066f12f73aac5416d88518dd7e708b67
SHA512: 3a9b2c52d31d7803bf18d846d15ed00c521045faf7c9f397bc813b14423e8f537ff21acbfd5ef539214621e42eb591534c1d606b5213ab8b7925452d847517d8
Homepage: https://cran.r-project.org/package=braQCA
Description: CRAN Package 'braQCA' (Bootstrapped Robustness Assessment for Qualitative ComparativeAnalysis)
 Test the robustness of a user's Qualitative Comparative Analysis solutions
 to randomness, using the bootstrapped assessment: baQCA(). This package also
 includes a function that provides recommendations for improving solutions to
 reach typical significance levels: brQCA(). Data included come from McVeigh
 et al. (2014) <doi:10.1177/0003122414534065>.

Package: r-cran-brassica
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-brassica_1.0.2-1.ca2004.1_all.deb
Size: 361404
MD5sum: 104f3f5748dc8e11c55f9323e50661b8
SHA1: 15a3b3a6aba4c32717d2f1efbb5ea1b6f955be7d
SHA256: cb2cf79539fef91e78f16f23fc550752d2c6ca5f07a03b98723d25b186faafab
SHA512: 6a888f660c2ca13c9daa03f40753a7b6f6a72035af5a04d8713f4fd581f5702f8e1db3ef919f1f4284b680c093d23d64918dfcd6d6cf0d5bdee2862cf2abe733
Homepage: https://cran.r-project.org/package=brassica
Description: CRAN Package 'brassica' (1970s BASIC Interpreter)
 Executes BASIC programs from the 1970s, for historical and educational
 purposes. This enables famous examples of early machine learning, artificial
 intelligence, natural language processing, cellular automata, and so on, to
 be run in their original form.

Package: r-cran-bratteli
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-diagram, r-cran-gmp, r-cran-kantorovich
Filename: pool/dists/focal/main/r-cran-bratteli_1.0.0-1.ca2004.1_all.deb
Size: 36304
MD5sum: bb0d1e262841605b644abbe3a9f61304
SHA1: 12b013be08da938d14b880f3848d0e55cc92b81b
SHA256: 9794f33a03b58c9abe50822d699f036cefb41703cdd4b61f3dd9517c1fc9784f
SHA512: 4c505c54ac5ed32566ad9c290b63eb1d06e9e7cb79619216b6327dd3a2853854fbfdff0278991098a9fb016a714a65f9087610e91ad2a7561a033cba8046ca61
Homepage: https://cran.r-project.org/package=bratteli
Description: CRAN Package 'bratteli' (Deal with Bratteli Graphs)
 Utilities for Bratteli graphs. A tree is an example of a Bratteli graph. The
 package provides a function which generates a 'LaTeX' file that renders the
 given Bratteli graph. It also provides functions to compute the dimensions
 of the vertices, the intrinsic kernels and the intrinsic distances.
 Intrinsic kernels and distances were introduced by Vershik (2014)
 <doi:10.1007/s10958-014-1958-0>.

Package: r-cran-brazilcrime
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2692
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-geobr, r-cran-janitor, r-cran-openxlsx, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brazilcrime_0.2.1-1.ca2004.1_all.deb
Size: 2632300
MD5sum: 2f9b4c3cac18edc96652366741edceda
SHA1: da35a742956301f5e45f622c353ec8db0f40db30
SHA256: f20110a4683ace7e18772bda78c376d56ead9c99ee9c42ec3c70a9db81ea6611
SHA512: 539cdfda906333452d651ee5333ede3c98b41a3df8fad1d799e91b972eb12ee35cbf6bc85187329bae9b15d60e925ba4a0ecb971801d78dc0e01406a512dee66
Homepage: https://cran.r-project.org/package=BrazilCrime
Description: CRAN Package 'BrazilCrime' (Accesses Brazilian Public Security Data from SINESP Since 2015)
 Allows access to data from the Brazilian Public Security Information System
 (SINESP) by state and municipality.
 <https://www.gov.br/mj/pt-br/assuntos/sua-seguranca/seguranca-publica/sinesp-1>.

Package: r-cran-brazilmet
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-readxl, r-cran-dplyr, r-cran-tibble, r-cran-lubridate, r-cran-sf, r-cran-stringi, r-cran-terra
Filename: pool/dists/focal/main/r-cran-brazilmet_0.4.0-1.ca2004.1_all.deb
Size: 198756
MD5sum: 3a5e7d08303d18278642eba3afb01cbb
SHA1: 0581e28fc64d3fec9dfcb3f24b78492cf6aa6c25
SHA256: 95eeb6edbba772f21abb7cb07f5212e2d771dd54af036a75f8a8249a6c0f7a4c
SHA512: b656ba06fdf1b8798220b9fea30e6261efcbcbece2170ce0b1f5cff6805b22830f65498baa12d00e3e35671c39f95c43102e77ad37a3ad532902349bf8d2c633
Homepage: https://cran.r-project.org/package=BrazilMet
Description: CRAN Package 'BrazilMet' (Download and Processing of Automatic Weather Stations (AWS) Dataof INMET-Brazil)
 A collection of functions for downloading and processing automatic weather
 station (AWS) data from INMET (Brazil’s National Institute of Meteorology),
 designed to support the estimation of reference evapotranspiration (ETo).
 The package facilitates streamlined access to meteorological data and aims
 to simplify analyses in agricultural and environmental contexts.

Package: r-cran-brbvs
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copent, r-cran-ggplot2, r-cran-gjrm, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-brbvs_0.2.1-1.ca2004.1_all.deb
Size: 85252
MD5sum: 0eebbbbdc91ef07b1828cbebc41b568a
SHA1: d98d7591cdef70ab89f46d175f289f530ce26a97
SHA256: e36ad1958fed389402d461737a10573f15eb3c4d3ce56e69839741781776a8d8
SHA512: 6ed297406b16cf1c9e50ff44a645b6ec7d551a6a1e98092433d60be492ff6c737041ff4f054bbc4bb5a398c2043ce7263e9b559f4e4e5f46fe03aeb66a70c832
Homepage: https://cran.r-project.org/package=BRBVS
Description: CRAN Package 'BRBVS' (Variable Selection and Ranking in Copula Survival ModelsAffected by General Censoring Scheme)
 Performs variable selection and ranking based on several measures for the
 class of copula survival model(s) in high dimensional domain.  The package
 is based on the class of copula survival model(s) implemented in the 'GJRM'
 package.

Package: r-cran-brcal
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1692
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nloptr, r-cran-fields, r-cran-ggplot2, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-xfun, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brcal_1.0.1-1.ca2004.1_all.deb
Size: 1018940
MD5sum: 9a4488eb4ac69ec1efdfd31de3e434e5
SHA1: 1e589dca53ca50059ef03b74fa847eb737d11376
SHA256: d6de87b99ddf12681532746dec3002bf405af3ee7571bc14db6e17863c6256d7
SHA512: 02f650960e6ac0bcc1cc1b79c543868984551ed9614d366d821942fa917eb7ca329f982e070f68d646dcf2de3486bfc2f66b541f45b572a01b70cac06d875554
Homepage: https://cran.r-project.org/package=BRcal
Description: CRAN Package 'BRcal' (Boldness-Recalibration of Binary Events)
 Boldness-recalibration maximally spreads out probability predictions while
 maintaining a user specified level of calibration, facilitated the brcal()
 function. Supporting functions to assess calibration via Bayesian and
 Frequentist approaches, Maximum Likelihood Estimator (MLE) recalibration,
 Linear in Log Odds (LLO)-adjust via any specified parameters, and visualize
 results are also provided. Methodological details can be found in Guthrie &
 Franck (2024) <doi:10.1080/00031305.2024.2339266>.

Package: r-cran-brclimr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 743
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-rlang, r-cran-lobstr, r-cran-magrittr, r-cran-dbi, r-cran-duckdb, r-cran-glue
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-brclimr_0.2.0-1.ca2004.1_all.deb
Size: 542672
MD5sum: d7707e4a9e49a514819ce29c6a6bab9f
SHA1: d8cabb3d7e5f150f18938e1aa44217371b32d1f6
SHA256: 4eaa5721a329216aad9b2b9ab3580256c584d987d2fe8dd7af48a53e999e349a
SHA512: bf35b608706d8b9a29211018d8c51be99fc2d4212b9e87ee75033e6a7a062dfc0b3456391fb81a99b68b51c6109ceb7b205df23023b46d541f88c9bb41f04027
Homepage: https://cran.r-project.org/package=brclimr
Description: CRAN Package 'brclimr' (Fetch Zonal Statistics of Weather Indicators for BrazilianMunicipalities)
 Fetches zonal statistics from weather indicators that were calculated for
 each municipality in Brazil using data from the BR-DWGD and TerraClimate
 projects.  Zonal statistics such as mean, maximum, minimum, standard
 deviation, and sum were computed by taking into account the data cells that
 intersect the boundaries of each municipality and stored in Parquet files.
 This procedure was carried out for all Brazilian municipalities, and for all
 available dates, for every indicator available in the weather products
 (BR-DWGD and TerraClimate projects). This package queries on-line the
 already calculated statistics on the Parquet files and returns easy-to-use
 data.frames.

Package: r-cran-brdt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brdt_0.1.0-1.ca2004.1_all.deb
Size: 43584
MD5sum: 19413775e8658cd44aa82852d0a4febe
SHA1: 075fd697b478d9e01836e832a92634ba022fc6df
SHA256: f3826420120988465021a75ca5f21bef5417eda1a63127bd7767961637cd2671
SHA512: 4c9df149be06319d213707aa80088b23e613d7553f326ffe3a07d302f7efd1c275b1ddf71af3f173d2224a61d90e43494b5cb15164c2873ac3e864f7cc90fcef
Homepage: https://cran.r-project.org/package=BRDT
Description: CRAN Package 'BRDT' (Binomial Reliability Demonstration Tests)
 This is an implementation of design methods for binomial reliability
 demonstration tests (BRDTs) with failure count data.  The acceptance
 decision uncertainty of BRDT has been quantified and the impacts of the
 uncertainty on related reliability assurance activities such as reliability
 growth (RG) and warranty services (WS) are evaluated.  This package is
 associated with the work from the published paper "Optimal Binomial
 Reliability Demonstration Tests Design under Acceptance Decision
 Uncertainty" by Suiyao Chen et al. (2020)
 <doi:10.1080/08982112.2020.1757703>.

Package: r-cran-brea
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-coda
Filename: pool/dists/focal/main/r-cran-brea_0.3.1-1.ca2004.1_all.deb
Size: 143228
MD5sum: 36a18c1523605d760cca9541337b1b1c
SHA1: 78fcf11351b3db063c46995a61f38817c6fd2f28
SHA256: e61c59981a95d1cc7756fbc60f49ff24a7ccd9dc2bc32568f2eb02c3b6bb43e1
SHA512: 497ffad03fdde289fc75dc1759a75d0d29fe272945289b2b0c6b528312026981e2a7f1a0b911b1cfbbb0863ac26e9ef669b777fa4d1f7324dfdabffbd615b97c
Homepage: https://cran.r-project.org/package=brea
Description: CRAN Package 'brea' (Bayesian Recurrent Events Analysis)
 Functions to produce MCMC samples for posterior inference in semiparametric
 Bayesian discrete time competing risks recurrent events models and
 multistate models.

Package: r-cran-bread
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-bread_0.4.1-1.ca2004.1_all.deb
Size: 70568
MD5sum: 7d54c5824f51a0bfa954247e56145968
SHA1: 6cc491993948fa6a7afa71e8b87fc56d6eeb501e
SHA256: 7fc710d6694d307fa1f1f3a190e15a20766b19623bc4e27536a45299193ee1e0
SHA512: 1c4f4e97c0247d8d7381c0d4db93f6bdf89660480d4345d8feee899f5286a14a1338b954b4ebf906eb2bb1c5503c204064d7271bc6164607f8a6fb28118e41c9
Homepage: https://cran.r-project.org/package=bread
Description: CRAN Package 'bread' (Analyze Big Files Without Loading Them in Memory)
 A simple set of wrapper functions for data.table::fread() that allows
 subsetting or filtering rows and selecting columns of table-formatted files
 too large for the available RAM.  'b stands for 'big files'.  bread makes
 heavy use of Unix commands like 'grep', 'sed', 'wc', 'awk' and 'cut'. They
 are available by default in all Unix environments.  For Windows, you need to
 install those commands externally in order to simulate a Unix environment
 and make sure that the executables are in the Windows PATH variable.  To my
 knowledge, the simplest ways are to install 'RTools', 'Git' or 'Cygwin'. If
 they have been correctly installed (with the expected registry entries),
 they should be detected on loading the package and the correct directories
 will be added automatically to the PATH.

Package: r-cran-breadr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-mass, r-cran-matrixstats, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-breadr_1.0.3-1.ca2004.1_all.deb
Size: 1169932
MD5sum: f0095d27598e8e0f4ed24b813b94963f
SHA1: ef4176240c5bd7c1471e81cb90706aa5e972efec
SHA256: adb9530b8c453f70005769fc8c0dd2b6f7ab3085c9adc06e117223e8e47e85f2
SHA512: 2dcae17ffab1222b87abe294c11d7d8c0a2e6f41cd3aae53920b8ab23909b62c7c67a2d647081696f16c32eb679732c10871e830910ce6e36509aff9a1a3f516
Homepage: https://cran.r-project.org/package=BREADR
Description: CRAN Package 'BREADR' (Estimates Degrees of Relatedness (Up to the Second Degree) forExtreme Low-Coverage Data)
 The goal of the package is to provide an easy-to-use method for estimating
 degrees of relatedness (up to the second degree) for extreme low-coverage
 data. The package also allows users to quantify and visualise the level of
 confidence in the estimated degrees of relatedness.

Package: r-cran-breakage
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imap
Filename: pool/dists/focal/main/r-cran-breakage_1.1-1-1.ca2004.1_all.deb
Size: 110560
MD5sum: ba5b9de7b7da319a8fe36bf4fab63030
SHA1: c711f5d301e0776b1316a7b9ab8d2f9dd1b57e21
SHA256: a0d76d5575512794d3c8ab3cd31bcb65543cec6bc0d5c4957807a7e9db3c9c79
SHA512: 47c7e6e1b82f77b88cd70f6a943915c1264acf22d7dea17c7cf7bc9be0783b337fbb70f49eedf8ce7b1ade580090685f25ef215270843fda5a9724aefa903087
Homepage: https://cran.r-project.org/package=breakage
Description: CRAN Package 'breakage' (SICM pipette tip geometry estimation)
 Estimates geometry of SICM pipette tips by fitting a physical model to
 recorded breakage-current data.

Package: r-cran-breakaway
Architecture: all
Version: 4.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1846
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-lme4, r-cran-magrittr, r-cran-mass, r-bioc-phyloseq, r-cran-tibble
Suggests: r-cran-devtools, r-cran-knitr, r-cran-plyr, r-cran-rcurl, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-breakaway_4.8.4-1.ca2004.1_all.deb
Size: 1689784
MD5sum: 0d9e59575e592cc1145601192481ae43
SHA1: 6ce012de1e5ccbc6c3e864ba0b44f65b4b64badd
SHA256: 86cf00a3c196a8c7f60a0db091219def96f5bda7ca4fc5fb53430a809930eea2
SHA512: 6f80f4c90688ef19bbd14895eae132187fbf86ee441ea87f5c6c51de81c889b5d127a78570cd1d594710ccecbb447f554403e297b3c6e02597ccaa5b2defd179
Homepage: https://cran.r-project.org/package=breakaway
Description: CRAN Package 'breakaway' (Species Richness Estimation and Modeling)
 Understanding the drivers of microbial diversity is an important frontier of
 microbial ecology, and investigating the diversity of samples from microbial
 ecosystems is a common step in any microbiome analysis. 'breakaway' is the
 premier package for statistical analysis of microbial diversity. 'breakaway'
 implements the latest and greatest estimates of species richness, described
 in Willis and Bunge (2015) <doi:10.1111/biom.12332>, Willis et al. (2017)
 <doi:10.1111/rssc.12206>, and Willis (2016) <arXiv:1604.02598>, as well as
 the most commonly used estimates, including the objective Bayes approach
 described in Barger and Bunge (2010) <doi:10.1214/10-BA527>.

Package: r-cran-breakdown
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1259
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-e1071, r-cran-kernlab, r-cran-xgboost, r-cran-caret, r-cran-randomforest, r-cran-dalex, r-cran-ranger, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-breakdown_0.2.2-1.ca2004.1_all.deb
Size: 850092
MD5sum: 0b6c5b21f0381e64612e17f90a407562
SHA1: 127d74bb0cd1819a0f75b9b3a195bdd2ba42597d
SHA256: a30ff0074c1889b2b553c32209d9fe0a866a0884bb1c3762f274ea8219eff873
SHA512: 80402d056b2197d50a4afc10a0f13ace4a78accbf0a54d067e9e2da020ea8b169cc8f79471aef71ea33ebeb476cb4bff366d5c94ef6f9274b900593ae8ea7175
Homepage: https://cran.r-project.org/package=breakDown
Description: CRAN Package 'breakDown' (Model Agnostic Explainers for Individual Predictions)
 Model agnostic tool for decomposition of predictions from black boxes.
 Break Down Table shows contributions of every variable to a final
 prediction.  Break Down Plot presents variable contributions in a concise
 graphical way.  This package work for binary classifiers and general
 regression models.

Package: r-cran-breakpoint
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-msm, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-breakpoint_1.2-1.ca2004.1_all.deb
Size: 230332
MD5sum: e8da5e9f9f1bbbcd9c18ba9f5d77da8c
SHA1: efae5d951a03a4d532a684dfe9db54e915ffc91a
SHA256: b212c2c861deaae23c5d461f97c97b5cd3af8a3b9f070a4efb474776d08cdd5d
SHA512: fc21373372f39f6d1737146b761aafbd7cebb828ca80cf7b77aed858c23bdbacd58ac35ec4ef28aa4cf85019d35562dc6a2f62991263b5c5f843c4a2fbfd9be4
Homepage: https://cran.r-project.org/package=breakpoint
Description: CRAN Package 'breakpoint' (An R Package for Multiple Break-Point Detection via theCross-Entropy Method)
 Implements the Cross-Entropy (CE) method, which is a model based stochastic
 optimization technique to estimate both the number and their corresponding
 locations of break-points in continuous and discrete measurements
 (Priyadarshana and Sofronov (2015), Priyadarshana and Sofronov (2012a),
 Priyadarshana and Sofronov (2012b)).

Package: r-cran-breakpoints
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-breakpoints_1.2-1.ca2004.1_all.deb
Size: 47392
MD5sum: 20be7fe650c629e139bbd8f0886cfe0e
SHA1: c4423233eb7e302d6c94bbd29eeea2d6708dd483
SHA256: bbfb9d956d2d3c1d012e826d86efaceb857d880023b1b7a8bc0df69d1ba593d6
SHA512: 707aa054a8fb18b76cda04d52ff4a6dfc7183eccd9c5b5fdc34d6d3f3bdec8ade4e8622355e91cba02accec543254d81461072a601bb6a21c2a460cf4881cf02
Homepage: https://cran.r-project.org/package=BreakPoints
Description: CRAN Package 'BreakPoints' (Identify Breakpoints in Series of Data)
 Compute Buishand Range Test, Pettit Test, SNHT, Student t-test, and
 Mann-Whitney Rank Test, to identify breakpoints in series. For all functions
 NA is allowed. Since all of the mention methods identify only one breakpoint
 in a series, a general function to look for N breakpoint is given. Also, the
 Yamamoto test for climate jump is available. Alexandersson, H. (1986)
 <doi:10.1002/joc.3370060607>, Buishand, T. (1982)
 <doi:10.1016/0022-1694(82)90066-X>, Hurtado, S. I., Zaninelli, P. G., &
 Agosta, E. A. (2020) <doi:10.1016/j.atmosres.2020.104955>, Mann, H. B.,
 Whitney, D. R. (1947) <doi:10.1214/aoms/1177730491>, Pettitt, A. N. (1979)
 <doi:10.2307/2346729>, Ruxton, G. D., jul (2006)
 <doi:10.1093/beheco/ark016>, Yamamoto, R., Iwashima, T., Kazadi, S. N., &
 Hoshiai, M. (1985) <doi:10.2151/jmsj1965.63.6_1157>.

Package: r-cran-breathtestcore
Architecture: all
Version: 0.8.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-ggfittext, r-cran-ggplot2, r-cran-broom, r-cran-mass, r-cran-multcomp, r-cran-nlme, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-signal, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-gridextra, r-cran-qpdf, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-breathteststan, r-cran-covr
Filename: pool/dists/focal/main/r-cran-breathtestcore_0.8.9-1.ca2004.1_all.deb
Size: 402924
MD5sum: b6250d26896e6f0c375da83326f87aa5
SHA1: 8354bc53b369650e265f3185a0a919c9bde84257
SHA256: e44fa8c9b3295e110e2721b5759f5919190fe75b250947553c21acf16be694e8
SHA512: d2abb12e452db4b6a053bc8e417254855fb92e8cb2d6b3d93ebd5f991bae67c22c5a56646d4c75af62cc00a5f39d49ecd47ae1adf16bb085a6df4a1ef11e1433
Homepage: https://cran.r-project.org/package=breathtestcore
Description: CRAN Package 'breathtestcore' (Core Functions to Read and Fit 13c Time Series from Breath Tests)
 Reads several formats of 13C data (IRIS/Wagner, BreathID) and CSV.  Creates
 artificial sample data for testing.  Fits Maes/Ghoos, Bluck-Coward
 self-correcting formula using 'nls', 'nlme'.  Methods to fit breath test
 curves with Bayesian Stan methods are refactored to package
 'breathteststan'. For a Shiny GUI, see package 'dmenne/breathtestshiny' on
 github.

Package: r-cran-breeze
Architecture: all
Version: 0.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1854
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-rcolorbrewer, r-cran-rgooglemaps, r-cran-xml
Filename: pool/dists/focal/main/r-cran-breeze_0.4-4-1.ca2004.1_all.deb
Size: 1294956
MD5sum: f2f106281b6677c9335808d8f0bc643a
SHA1: fa84c8e6ecee96baa1ea538359d837302eb6bee8
SHA256: 0da7abbddebe0ef1cf4dad5b48757cb58c1fc3b16d2ed2db88f92b0754259932
SHA512: 58e6c459a742348e5b549a7f5f7b9e43442b1e4bf4cd8395478e87c0e0e66727d999dccd9543c515e3e64dce113e91fbb60c70d0fc109a5f9333ba4b83c82217
Homepage: https://cran.r-project.org/package=bReeze
Description: CRAN Package 'bReeze' (Functions for Wind Resource Assessment)
 A collection of functions to analyse, visualize and interpret wind data and
 to calculate the potential energy production of wind turbines.

Package: r-cran-bregr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2256
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-broom.helpers, r-cran-cli, r-cran-dplyr, r-cran-forestploter, r-cran-ggplot2, r-cran-glue, r-cran-insight, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-s7, r-cran-survival, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-ggnewscale, r-cran-ggstats, r-cran-ggstatsplot, r-cran-gtsummary, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-visreg
Filename: pool/dists/focal/main/r-cran-bregr_1.0.0-1.ca2004.1_all.deb
Size: 1123596
MD5sum: d8edd638e2692c4c9c70cb30d0d9bbf3
SHA1: 0eef85b861b47b8a407f228ad4361949261455bf
SHA256: 26aa0b5acd78ac97e56d26722d1be2bb260ffb5dcf32e0a95674d21b3ec9ff9c
SHA512: 895bb91c27974203a44b2215e112beba182d218f5493a60d99b73596d6e0fb7e141738b7453e572bd5be9b90a65bdac52a684c51a85ef1922f1ee30763e4d039
Homepage: https://cran.r-project.org/package=bregr
Description: CRAN Package 'bregr' (Easy and Efficient Batch Processing of Regression Models)
 Easily process batches of univariate or multivariate regression models.
 Returns results in a tidy format and generates visualization plots for
 straightforward interpretation (Wang, Shixiang, et al. (2021)
 <DOI:10.48550/arXiv.2110.14232>).

Package: r-cran-bretigea
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1863
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bretigea_1.0.3-1.ca2004.1_all.deb
Size: 1851820
MD5sum: 9755b51668ae7880c76dbf805842b7c9
SHA1: d69e7ed0455c5b9c054c8c4f84b4fe71a38f2f87
SHA256: 44733f26717ffe564d9e504d5024a5c68f0d0d63e7da53963cdaa7e96f929db9
SHA512: 8b11aee7643afc120dd5c869e35c0cf49cd4f91d456be0cdbc72259993173a87172a559bbf47c2f12afccfcf90db3baf0281e72602b7102bdd9ab2f42fc12824
Homepage: https://cran.r-project.org/package=BRETIGEA
Description: CRAN Package 'BRETIGEA' (Brain Cell Type Specific Gene Expression Analysis)
 Analysis of relative cell type proportions in bulk gene expression data.
 Provides a well-validated set of brain cell type-specific marker genes
 derived from multiple types of experiments, as described in McKenzie (2018)
 <doi:10.1038/s41598-018-27293-5>. For brain tissue data sets, there are
 marker genes available for astrocytes, endothelial cells, microglia,
 neurons, oligodendrocytes, and oligodendrocyte precursor cells, derived from
 each of human, mice, and combination human/mouse data sets. However, if you
 have access to your own marker genes, the functions can be applied to bulk
 gene expression data from any tissue. Also implements multiple options for
 relative cell type proportion estimation using these marker genes, adapting
 and expanding on approaches from the 'CellCODE' R package described in
 Chikina (2015) <doi:10.1093/bioinformatics/btv015>. The number of cell type
 marker genes used in a given analysis can be increased or decreased based on
 your preferences and the data set. Finally, provides functions to use the
 estimates to adjust for variability in the relative proportion of cell types
 across samples prior to downstream analyses.

Package: r-cran-brew
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brew_1.0-10-1.ca2004.1_all.deb
Size: 53184
MD5sum: 841df75023ad4f70245f2f7fbd6f0122
SHA1: d46013588e50e474b3ba71d7c6ff79a9c1793b2d
SHA256: 1234f57b19c1c8e6d844b8a7610a4318fed7312246919721b23b44c66694228e
SHA512: 0e060bc9ca6e8c8e23cc61a8ffceb4b355354f72a231a638e926591e5a0c6303ded89b886b09d3f4f1da9d83cd7b38e64836816c9d0c815fae9ae8e118b3e4f6
Homepage: https://cran.r-project.org/package=brew
Description: CRAN Package 'brew' (Templating Framework for Report Generation)
 Implements a templating framework for mixing text and R code for report
 generation. brew template syntax is similar to PHP, Ruby's erb module, Java
 Server Pages, and Python's psp module.

Package: r-cran-brickr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1604
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-scales, r-cran-farver, r-cran-colorspace, r-cran-rgl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-png, r-cran-jpeg, r-cran-tibble, r-cran-raster, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-brickr_0.3.5-1.ca2004.1_all.deb
Size: 1190160
MD5sum: 24e58265f655ed00a74e37b794506cb9
SHA1: ba89f3b22aa23364f3d26143dc7854494418ceeb
SHA256: 05efbaa98dc186f243246ec14009dbb9a4c4f36c32a652161b145007dc3708d6
SHA512: 895511364c1d411d53972cf5c0193519bfc016113b4b9a9371a243910f63af1e209138e206674f37a610ea631b5ba164672871971e310eeacffa3b20cb3cdb43
Homepage: https://cran.r-project.org/package=brickr
Description: CRAN Package 'brickr' (Emulate LEGO Bricks in 2D and 3D)
 Generate digital LEGO models using 'tidyverse' functions.  Convert image
 files into 2D and 3D LEGO mosaics, complete with piece counts and
 instructions.  Render 3D models using simple data frame instructions.
 Developed under the LEGO Group's Fair Play policy
 <https://www.lego.com/en-us/legal/notices-and-policies/fair-play/>.

Package: r-cran-brickset
Architecture: all
Version: 2025.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-piggyback
Suggests: r-cran-bookdown, r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-brickset_2025.0.0-1.ca2004.1_all.deb
Size: 1046724
MD5sum: 031a8703cb210789f553cc69d279f26b
SHA1: b7c249f9b10957f25d1aff8ec6d469f3c521865c
SHA256: 5a6bd014604bc3fc4cc8aec0e6e89c6688369a8660d42fbd12a63fb66e5ec254
SHA512: 2db46f890753e126783c0e4b9c1922025b16a9c0e60c08589647c26ab9f31502d4265a8d2cc866d3c2f1fae6b4c8dea226f043276c236a571aca4d9f45b8216f
Homepage: https://cran.r-project.org/package=brickset
Description: CRAN Package 'brickset' (Interface with the Brickset API for Getting Data About LEGO Sets)
 Interface with the 'Brickset' API
 <https://brickset.com/article/52664/api-version-3-documentation> for getting
 data about LEGO sets. Data sets that can be used for teaching and learning
 without the need of a 'Brickset' account and API key are also included.
 Includes all LEGO since through the end of 2023.

Package: r-cran-brickster
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1243
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-ini, r-cran-jsonlite, r-cran-nanoarrow, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-arrow, r-cran-testthat, r-cran-huxtable, r-cran-htmltools, r-cran-knitr, r-cran-magick, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-brickster_0.2.8-1.ca2004.1_all.deb
Size: 977312
MD5sum: 6c742337283adc07a7721b8132d24c55
SHA1: 739e2853554cda28dedc59dc12e03f3b060ebfa6
SHA256: 927ee11c519452c58220c1f92004e48e0767c96cc31ad74a533c2d79ce9077d6
SHA512: d97584b6bb742db533b5594c60484ac68cd6de7feee51e671f1c0c6e207f278a874eb9138fd4b01be4b29903b728ed351e2b3f89aeafae29d8fa49ec2c2ff0d8
Homepage: https://cran.r-project.org/package=brickster
Description: CRAN Package 'brickster' (R Toolkit for 'Databricks')
 Collection of utilities that improve using 'Databricks' from R.  Primarily
 functions that wrap specific 'Databricks' APIs
 (<https://docs.databricks.com/api>), 'RStudio' connection pane support,
 quality of life functions to make 'Databricks' simpler to use.

Package: r-cran-bridgedist
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bridgedist_0.1.3-1.ca2004.1_all.deb
Size: 78692
MD5sum: ca29d0e265dfd8be07e2e4b3cab4d22c
SHA1: 85db257b1c169827c722bec7b0aef9f3a088af31
SHA256: 52ad840634717f6dd764cf90749f6ad866c3c379fd64cd47bfe71cf4a5873ea4
SHA512: dfff586e733f186e8dc01e2085a18dfe8366a117a968445a2b631dda4a4a5971e88f3736325c117e924f3369dcaa06cd1f600b8fb5682b5ec8342b2c6e46adba
Homepage: https://cran.r-project.org/package=bridgedist
Description: CRAN Package 'bridgedist' (An Implementation of the Bridge Distribution with Logit-Link asin Wang and Louis (2003))
 An implementation of the bridge distribution with logit-link in R. In Wang
 and Louis (2003) <DOI:10.1093/biomet/90.4.765>, such a univariate bridge
 distribution was derived as the distribution of the random intercept that
 'bridged' a marginal logistic regression and a conditional logistic
 regression.  The conditional and marginal regression coefficients are a
 scalar multiple of each other. Such is not the case if the random intercept
 distribution was Gaussian.

Package: r-cran-bridger2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-shiny, r-cran-shinydashboard, r-cran-plotly, r-cran-bsda, r-cran-outliers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bridger2_0.1.0-1.ca2004.1_all.deb
Size: 312284
MD5sum: e502b9eefe453860c976e238b7e5af53
SHA1: 18082d3892149e8fb1db5f79b5978f49c44bd4a4
SHA256: e1d96c070d00aaa79057bf8613034d4451a76c68a77060f36783549b46df06ad
SHA512: b79abf08cb0b83de5cb43e31f747d2e7a72d0ced0019f67acd5dcc31a899714ebcf7fc18d3286360a8a430f89638959a00fbb8b913c82faa37ca3cac1292d817
Homepage: https://cran.r-project.org/package=bridger2
Description: CRAN Package 'bridger2' (Genome-Wide RNA Degradation Analysis Using BRIC-Seq Data)
 BRIC-seq is a genome-wide approach for determining RNA stability in
 mammalian cells.  This package provides a series of functions for performing
 quality check of your BRIC-seq data, calculation of RNA half-life for each
 transcript and comparison of RNA half-lives between two conditions.

Package: r-cran-bridger
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-patchwork, r-cran-tibble, r-cran-tidyr, r-cran-magrittr, r-cran-ggplot2, r-cran-ggedit, r-cran-glue, r-cran-gridextra, r-cran-kableextra, r-cran-pdftools, r-cran-scales, r-cran-stringr
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-bridger_0.1.0-1.ca2004.1_all.deb
Size: 545140
MD5sum: e7a624dce3b863d16633638d8c5d372b
SHA1: a1f637fc0c5bed4238d93cb5872cbfb1ff47c421
SHA256: 8da40e1008b8173749ac5d3fe1ea1c38c4c34b8638c3168d2acf3369603ac0a7
SHA512: 5a737775db3989ca53ce8f19e52e5d7208f3e8e08aba2da330670c419d784cf12fd8551a9913872d817e81391649f95373d9991c3d9fa92895e0d855f2282b2b
Homepage: https://cran.r-project.org/package=bridger
Description: CRAN Package 'bridger' (Bridge Hand Generator with Criteria Selector)
 Produce bridge hands, allowing parameters for hands to offer specific for
 bidding sequences.

Package: r-cran-bridgesampling
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1964
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-brobdingnag, r-cran-stringr, r-cran-coda, r-cran-scales
Suggests: r-cran-testthat, r-cran-rcpp, r-cran-rcppeigen, r-cran-r2jags, r-cran-rjags, r-cran-runjags, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-bayesfactor, r-cran-rstan, r-cran-rstanarm, r-cran-nimble, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-bridgesampling_1.1-2-1.ca2004.1_all.deb
Size: 1455632
MD5sum: 685850d29f4e19b9930785c1da5ad0f4
SHA1: 7ba4b40e96a04786d4d4e9aa02feca76a8757d58
SHA256: 5f8d92986e8a866584b3aeaf67817dc491795fff4b958fc26e81d03cdd0e317b
SHA512: 68b5ad11530f352c5ffd5170e36bc52e20377d03b93c60a531a540857940e71558a19655dee3a121e61a7f3efa2863e4e54d17e335c83bb87c48f54050b841cf
Homepage: https://cran.r-project.org/package=bridgesampling
Description: CRAN Package 'bridgesampling' (Bridge Sampling for Marginal Likelihoods and Bayes Factors)
 Provides functions for estimating marginal likelihoods, Bayes factors,
 posterior model probabilities, and normalizing constants in general, via
 different versions of bridge sampling (Meng & Wong, 1996,
 <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>).  Gronau,
 Singmann, & Wagenmakers (2020) <doi:10.18637/jss.v092.i10>.

Package: r-cran-bridgr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 947
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-generics, r-cran-tsbox, r-cran-lubridate, r-cran-forecast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bridgr_0.1.1-1.ca2004.1_all.deb
Size: 877080
MD5sum: 1d971f9b062b848b9a0745dfd4cca3a0
SHA1: 5cc0d30a445c1c5436f48b89cb1c258576688f00
SHA256: dd22568d9305fea6677508722bcbbe3f70291add5154362b235365f0c0a5d2a2
SHA512: ecf5793ac4279dd4c72ef25019cc06a167d2e0a7734a75569434b6272a1883300c175d6b22fae6ecb7da3a87058c6df1fa3ba14884da974350bc902017145ff3
Homepage: https://cran.r-project.org/package=bridgr
Description: CRAN Package 'bridgr' (Bridging Data Frequencies for Timely Economic Forecasts)
 Implements bridge models for nowcasting and forecasting macroeconomic
 variables by linking high-frequency indicator variables (e.g., monthly data)
 to low-frequency target variables (e.g., quarterly GDP). Simplifies
 forecasting and aggregating indicator variables to match the target
 frequency, enabling timely predictions ahead of official data releases. For
 more on bridge models, see Baffigi, A., Golinelli, R., & Parigi, G. (2004)
 <doi:10.1016/S0169-2070(03)00067-0>, Burri (2023)
 <https://www5.unine.ch/RePEc/ftp/irn/pdfs/WP23-02.pdf> or Schumacher (2016)
 <doi:10.1016/j.ijforecast.2015.07.004>.

Package: r-cran-brikmeans
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-cluster, r-cran-depthtools, r-cran-splines2
Filename: pool/dists/focal/main/r-cran-brikmeans_1.0-1.ca2004.1_all.deb
Size: 142168
MD5sum: 2a381fbc037be904797017e65eb35e54
SHA1: 03694e8fe513eb0b85bc7aa2f18da7e3ed4db00c
SHA256: 84e19eb1e5e26f70effe4f8efeec5e4938459ae13fd955764cdb067099e468fd
SHA512: 8d29ef54eda5cdfa0b5d31693658c3fecb10e0a3bdb5e3d429f89f44625ae862ff456564705866d804f9c69dab9157a294e1682a281d3ac4fc07391689fa3113
Homepage: https://cran.r-project.org/package=briKmeans
Description: CRAN Package 'briKmeans' (Package for Brik, Fabrik and Fdebrik Algorithms to InitialiseKmeans)
 Implementation of the BRIk, FABRIk and FDEBRIk algorithms to initialise
 k-means. These methods are intended for the clustering of multivariate and
 functional data, respectively.  They make use of the Modified Band Depth and
 bootstrap to identify appropriate initial seeds for k-means, which are
 proven to be better options than many techniques in the literature. Torrente
 and Romo (2021) <doi:10.1007/s00357-020-09372-3> It makes use of the
 functions kma and kma.similarity, from the archived package fdakma, by Alice
 Parodi et al.

Package: r-cran-brinda
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-berryfunctions, r-cran-data.table, r-cran-dplyr, r-cran-hmisc, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brinda_0.1.5-1.ca2004.1_all.deb
Size: 52296
MD5sum: 45565dd4b4185fe3f11d2a58ac8ce954
SHA1: 1c47161858ecf64b20ad39aa1d1223dfc18bd6a0
SHA256: d82bb67ba2e4b90ebc8f9e444e130b3ce3579f56ca3f40a77c673ce21d9a342d
SHA512: 577bb07cb2182bae45c8ad1283e109b543f3caf6b80f2ef1ec035358a8f88ab93eb6e5d1ebb31f7dd517284a88c514dad4334f1a65c8bf13b3d8a763f16abfb4
Homepage: https://cran.r-project.org/package=BRINDA
Description: CRAN Package 'BRINDA' (Computation of BRINDA Adjusted Micronutrient Biomarkers forInflammation)
 Inflammation can affect many micronutrient biomarkers and can thus lead to
 incorrect diagnosis of individuals and to over- or under-estimate the
 prevalence of deficiency in a population. Biomarkers Reflecting Inflammation
 and Nutritional Determinants of Anemia (BRINDA) is a multi-agency and
 multi-country partnership designed to improve the interpretation of nutrient
 biomarkers in settings of inflammation and to generate context-specific
 estimates of risk factors for anemia (Suchdev (2016)
 <doi:10.3945/an.115.010215>). In the past few years, BRINDA published a
 series of papers to provide guidance on how to adjust micronutrient
 biomarkers, retinol binding protein, serum retinol, serum ferritin by
 Namaste (2020), soluble transferrin receptor (sTfR), serum zinc, serum and
 Red Blood Cell (RBC) folate, and serum B-12, using inflammation markers,
 alpha-1-acid glycoprotein (AGP) and/or C-Reactive Protein (CRP) by Namaste
 (2020) <doi:10.1093/ajcn/nqaa141>, Rohner (2017)
 <doi:10.3945/ajcn.116.142232>, McDonald (2020) <doi:10.1093/ajcn/nqz304>,
 and Young (2020) <doi:10.1093/ajcn/nqz303>. The BRINDA inflammation
 adjustment method mainly focuses on Women of Reproductive Age (WRA) and
 Preschool-age Children (PSC); however, the general principle of the BRINDA
 method might apply to other population groups. The BRINDA R package is a
 user-friendly all-in-one R package that uses a series of functions to
 implement BRINDA adjustment method, as described above. The BRINDA R package
 will first carry out rigorous checks and provides users guidance to correct
 data or input errors (if they occur) prior to inflammation adjustments.
 After no errors are detected, the package implements the BRINDA inflammation
 adjustment for up to five micronutrient biomarkers, namely
 retinol-binding-protein, serum retinol, serum ferritin, sTfR, and serum zinc
 (when appropriate), using inflammation indicators of AGP and/or CRP for
 various population groups. Of note, adjustment for serum and RBC folate and
 serum B-12 is not included in the R package, since evidence shows that no
 adjustment is needed for these micronutrient biomarkers in either WRA or PSC
 groups (Young (2020) <doi:10.1093/ajcn/nqz303>).

Package: r-cran-brinton
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3259
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-rmarkdown, r-cran-glue, r-cran-pander, r-cran-lubridate, r-cran-tibble, r-cran-sm, r-cran-rcolorbrewer, r-cran-forcats, r-cran-ggally, r-cran-patchwork, r-cran-scales
Suggests: r-cran-knitr, r-cran-mass, r-cran-hexbin, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brinton_0.2.7-1.ca2004.1_all.deb
Size: 2498668
MD5sum: da7106db7685ff80beb21605756fd2ac
SHA1: 6178e0f6bc05d087c73c5df2209dc058e59af4e3
SHA256: a4a76964f7f60e880e17f5b3cd177ff54e6be84b342cbe028e4189e988c28f7d
SHA512: f2ddaaf2dce5a629c00280e92f97327a54595a9001cbd1f81936fd63eae9174a467630b9fd8f10d7e21434b155114ea4bf29f41c8ae40c65c7a3490c0c6b5482
Homepage: https://cran.r-project.org/package=brinton
Description: CRAN Package 'brinton' (A Graphical EDA Tool)
 An automated graphical exploratory data analysis (EDA) tool that introduces:
 a.) wideplot graphics for exploring the structure of a dataset through a
 grid of variables and graphic types.  b.) longplot graphics, which present
 the entire catalog of available graphics for representing a particular
 variable using a grid of graphic types and variations on these types.  c.)
 plotup function, which presents a particular graphic for a specific variable
 of a dataset.  The plotup() function also makes it possible to obtain the
 code used to generate the graphic, meaning that the user can adjust its
 properties as needed.  d.) matrixplot graphics that is a grid of a
 particular graphic showing bivariate relationships between all pairs of
 variables of a certain(s) type(s) in a multivariate data set.

Package: r-cran-briqr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-briqr_0.1.0-1.ca2004.1_all.deb
Size: 17508
MD5sum: a583e22baa305ea8f309b454b707132b
SHA1: 20836ba18667b261f27728704f96df67df8a78a5
SHA256: 435582ba0b3419df1d6036fe8a2e01e230b06e3c93b1bf5526e0be63647c62af
SHA512: b7384cbef99e895313bb4edc8cbb81cee4dedf8ad31b67e607f3d19c7662c116f90e505eb49dfc114be4a992d3c2020185a6599ff36de0e31c71ddc423c3b86a
Homepage: https://cran.r-project.org/package=briqr
Description: CRAN Package 'briqr' (Interface to the 'Briq' API)
 An interface to the 'Briq' API <https://briq.github.io>. 'Briq' is a tool
 that aims to promote employee engagement by helping employees recognize and
 reward each other. Employees can praise and thank one another (for achieving
 a company goal, for example) by giving virtual credits (known as 'briqs' or
 'bqs') that can be redeemed for various rewards. The 'Briq' API lets you
 create, read, update and delete users, user groups, transactions and
 messages. This package provides functions that simplify getting the users,
 user groups and transactions of your organization into R.

Package: r-cran-brisk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ellipsis, r-cran-ggplot2, r-cran-hitandrun, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-fs, r-cran-testthat, r-cran-tibble, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brisk_0.1.0-1.ca2004.1_all.deb
Size: 149300
MD5sum: 0049b920b9725f62c83beed7d42031aa
SHA1: 772883e2309574ce84be13842cbf41472e804360
SHA256: 93343a525ba1eb0b3909fb686ca6c685e677d86b8b4064a41f9d206913b4199b
SHA512: 6398244ee01e2a925e3180c52bbaa2123d7f212f90e6676577685d440bfccd28e887326c4cd06d7ed1c5b2b7e4beae1b1282fb849483ef514c9fb83a2cc47440
Homepage: https://cran.r-project.org/package=brisk
Description: CRAN Package 'brisk' (Bayesian Benefit Risk Analysis)
 Quantitative methods for benefit-risk analysis help to condense complex
 decisions into a univariate metric describing the overall benefit relative
 to risk.  One approach is to use the multi-criteria decision analysis
 framework (MCDA), as in Mussen, Salek, and Walker (2007)
 <doi:10.1002/pds.1435>.  Bayesian benefit-risk analysis incorporates
 uncertainty through posterior distributions which are inputs to the
 benefit-risk framework.  The brisk package provides functions to assist with
 Bayesian benefit-risk analyses, such as MCDA.  Users input posterior
 samples, utility functions, weights, and the package outputs quantitative
 benefit-risk scores.  The posterior of the benefit-risk scores for each
 group can be compared.  Some plotting capabilities are also included.

Package: r-cran-brlrmr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-brglm, r-cran-mass, r-cran-profilemodel, r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-brlrmr_0.1.7-1.ca2004.1_all.deb
Size: 68020
MD5sum: 32385a980cc1aa8325f9a339510af2de
SHA1: 0487eb96c1f3eb4de67df8814bdf355f10dd7ff7
SHA256: b8b2e5d5b15920a11ca2b72ffdbc419c38e845a7bb88b9c12f048ff666078b70
SHA512: 79cdb5d1900e1b0527f684262d1c60064012f13105392c815ca0efe64a331c3ea3907afb3ade7317d2872a9cdfcac82ba81157c9f675259dbf19fc74c5ac9d2e
Homepage: https://cran.r-project.org/package=brlrmr
Description: CRAN Package 'brlrmr' (Bias Reduction with Missing Binary Response)
 Provides two main functions, il() and fil(). The il() function implements
 the EM algorithm developed by Ibrahim and Lipsitz (1996)
 <DOI:10.2307/2533068> to estimate the parameters of a logistic regression
 model with the missing response when the missing data mechanism is
 nonignorable. The fil() function implements the algorithm proposed by Maity
 et. al. (2017+) <https://github.com/arnabkrmaity/brlrmr> to reduce the bias
 produced by the method of Ibrahim and Lipsitz (1996) <DOI:10.2307/2533068>.

Package: r-cran-brm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brm_1.1.1-1.ca2004.1_all.deb
Size: 81016
MD5sum: c3bd35e5e037c29c77d029e3b499000f
SHA1: 422359592e968842e7b40eee2d74ec5e1a1709d7
SHA256: b80bf8d764db7999656bb3fef44eaca55b26d98ff7bbafb67223434874a46e15
SHA512: aba0468d2cdcb65380958e7274d3e0f210c421215fc862401d90a0fdd205f9cae347118f5abcdf8debb91ed594c73efe571e39434a402ad679b4be5a72505d79
Homepage: https://cran.r-project.org/package=brm
Description: CRAN Package 'brm' (Binary Regression Model)
 Fits novel models for the conditional relative risk, risk difference and
 odds ratio <doi:10.1080/01621459.2016.1192546>.

Package: r-cran-brms.mmrm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4883
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-mass, r-cran-posterior, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-trialr, r-cran-zoo
Suggests: r-cran-bh, r-cran-emmeans, r-cran-fst, r-cran-gt, r-cran-gtsummary, r-cran-knitr, r-cran-markdown, r-cran-mmrm, r-cran-rcpp, r-cran-rcppeigen, r-cran-rcppparallel, r-cran-rmarkdown, r-cran-rstan, r-cran-stanheaders, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brms.mmrm_1.1.1-1.ca2004.1_all.deb
Size: 1504180
MD5sum: e4d07b2658ee68bf40aac902a36e23c9
SHA1: ad4ab2753ad5c301147d9a149debce153c8d8b1e
SHA256: c4c64cf4c68440766cbb15678b6b5c716ed556e5d91b6a4eb286b2360fb5af66
SHA512: fc80c494c5398996e0fabb21a2cb2715c7142e487351d9ff8addac4886080a9f8f91f8426fa3d1fcf37affc6ccb6aab099c6243aa2ce835162afdd9d81455564
Homepage: https://cran.r-project.org/package=brms.mmrm
Description: CRAN Package 'brms.mmrm' (Bayesian MMRMs using 'brms')
 The mixed model for repeated measures (MMRM) is a popular model for
 longitudinal clinical trial data with continuous endpoints, and 'brms' is a
 powerful and versatile package for fitting Bayesian regression models.  The
 'brms.mmrm' R package leverages 'brms' to run MMRMs, and it supports a
 simplified interfaced to reduce difficulty and align with the best practices
 of the life sciences.  References: Bürkner (2017)
 <doi:10.18637/jss.v080.i01>, Mallinckrodt (2008)
 <doi:10.1177/009286150804200402>.

Package: r-cran-brms
Architecture: all
Version: 2.22.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8745
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcpp, r-cran-rstan, r-cran-ggplot2, r-cran-loo, r-cran-posterior, r-cran-matrix, r-cran-mgcv, r-cran-rstantools, r-cran-bayesplot, r-cran-bridgesampling, r-cran-glue, r-cran-rlang, r-cran-future, r-cran-future.apply, r-cran-matrixstats, r-cran-nleqslv, r-cran-nlme, r-cran-coda, r-cran-abind, r-cran-backports
Suggests: r-cran-testthat, r-cran-emmeans, r-cran-projpred, r-cran-priorsense, r-cran-shinystan, r-cran-splines2, r-cran-rwiener, r-cran-rtdists, r-cran-extradistr, r-cran-processx, r-cran-mice, r-cran-spdep, r-cran-mnormt, r-cran-lme4, r-cran-mcmcglmm, r-cran-ape, r-cran-arm, r-cran-statmod, r-cran-digest, r-cran-diffobj, r-cran-r.rsp, r-cran-gtable, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brms_2.22.0-1.ca2004.1_all.deb
Size: 6682412
MD5sum: 91a88e884ac12b6aababc7b5c1c6357d
SHA1: 5a708083db2bf3e4daf2fe30d72df29b5219242b
SHA256: 1cb1e20fa3d6861acb1b0e35aa62703cb42e6224e5cb0662664236ac0b27db57
SHA512: 13918f0cc8524e58d1d2634011df572bf3079d358fd3e7675a3464145f94cad8aa9cc2754d3d6cb7a530602c85446868e0a52ffab55e02a28692a5aacd9b0726
Homepage: https://cran.r-project.org/package=brms
Description: CRAN Package 'brms' (Bayesian Regression Models using 'Stan')
 Fit Bayesian generalized (non-)linear multivariate multilevel models using
 'Stan' for full Bayesian inference. A wide range of distributions and link
 functions are supported, allowing users to fit -- among others -- linear,
 robust linear, count data, survival, response times, ordinal, zero-inflated,
 hurdle, and even self-defined mixture models all in a multilevel context.
 Further modeling options include both theory-driven and data-driven
 non-linear terms, auto-correlation structures, censoring and truncation,
 meta-analytic standard errors, and quite a few more.  In addition, all
 parameters of the response distribution can be predicted in order to perform
 distributional regression. Prior specifications are flexible and explicitly
 encourage users to apply prior distributions that actually reflect their
 prior knowledge. Models can easily be evaluated and compared using several
 methods assessing posterior or prior predictions.  References: Bürkner
 (2017) <doi:10.18637/jss.v080.i01>; Bürkner (2018)
 <doi:10.32614/RJ-2018-017>; Bürkner (2021) <doi:10.18637/jss.v100.i05>;
 Carpenter et al. (2017) <doi:10.18637/jss.v076.i01>.

Package: r-cran-brobdingnag
Architecture: all
Version: 1.2-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1535
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-cubature, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brobdingnag_1.2-9-1.ca2004.1_all.deb
Size: 951116
MD5sum: a5430f4d4a043ecd0e8f83beeb7bf50c
SHA1: 9ccd4d7803b00891720656ab116a5866e75f9189
SHA256: b45aca5133ed30df33ddc9937da3a8a2093c88f61ab8b321e1e7ef96a163e330
SHA512: 5d0d6fc1c5a529e80898b569f6fdea4b3164972df15b94165fbc0273d02340627c3b06dd5dfcfb354a3cc73aabedae7d5af80fab0cfaad7f56031b548007a84e
Homepage: https://cran.r-project.org/package=Brobdingnag
Description: CRAN Package 'Brobdingnag' (Very Large Numbers in R)
 Very large numbers in R.  Real numbers are held using their natural
 logarithms, plus a logical flag indicating sign.  Functionality for complex
 numbers is also provided.  The package includes a vignette that gives a
 step-by-step introduction to using S4 methods.

Package: r-cran-brokenadaptiveridge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cyclops, r-cran-futile.logger, r-cran-bit64
Suggests: r-cran-testthat, r-cran-survival, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brokenadaptiveridge_1.0.0-1.ca2004.1_all.deb
Size: 26948
MD5sum: 4be31508bf1d34cadc62fb7eed8dc3e3
SHA1: 65823f8d7868288cdc515a46068a2852a51c302e
SHA256: b3b7c29fab79c90a1c89675aca60d940f0babddf11f00bbe0a5454590aa1744c
SHA512: 4d82188c4aa6ea04f9173428982ae4ced90ec8f64f849978f86cfc0693f61050dc0eeeec7b88de201ae3051051098aac50a5428a1111293f542a31f6e9ec11e7
Homepage: https://cran.r-project.org/package=BrokenAdaptiveRidge
Description: CRAN Package 'BrokenAdaptiveRidge' (Broken Adaptive Ridge Regression with Cyclops)
 Approximates best-subset selection (L0) regression with an iteratively
 adaptive Ridge (L2) penalty for large-scale models.  This package uses
 Cyclops for an efficient implementation and the iterative method is
 described in Kawaguchi et al (2020) <doi:10.1002/sim.8438> and Li et al
 (2021) <doi:10.1016/j.jspi.2020.12.001>.

Package: r-cran-brokenstick
Architecture: all
Version: 2.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1533
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-dplyr, r-cran-lme4, r-cran-matrixsampling, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-agd, r-cran-bookdown, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-lattice, r-cran-mass, r-cran-matrix, r-cran-mice, r-cran-mvtnorm, r-cran-plyr, r-cran-svglite, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-brokenstick_2.6.0-1.ca2004.1_all.deb
Size: 1212044
MD5sum: 3a62fab1c23e1c88664096a6fe28653f
SHA1: ff2f3c24c915724684383010610f603c37b1e61a
SHA256: 35d6a7e45f7b61e765740ea4e20cc7cc348d85ee0128fb41dbadca1d3d9c0a7e
SHA512: 8ef9273fc9077487eb14766b598f85cd65b37fb9a5aa5954dece8cfeaa6992329f83bb44bf79114d7c0a1b91b93f02205b1a9f9e8e3fdfa0e019b1608be05901
Homepage: https://cran.r-project.org/package=brokenstick
Description: CRAN Package 'brokenstick' (Broken Stick Model for Irregular Longitudinal Data)
 Data on multiple individuals through time are often sampled at times that
 differ between persons. Irregular observation times can severely complicate
 the statistical analysis of the data. The broken stick model approximates
 each subject’s trajectory by one or more connected line segments.  The times
 at which segments connect (breakpoints) are identical for all subjects and
 under control of the user. A well-fitting broken stick model effectively
 transforms individual measurements made at irregular times into regular
 trajectories with common observation times. Specification of the model
 requires three variables: time, measurement and subject. The model is a
 special case of the linear mixed model, with time as a linear B-spline and
 subject as the grouping factor. The main assumptions are: subjects are
 exchangeable, trajectories between consecutive breakpoints are straight,
 random effects follow a multivariate normal distribution, and unobserved
 data are missing at random. The package contains functions for fitting the
 broken stick model to data, for predicting curves in new data and for
 plotting broken stick estimates. The package supports two optimization
 methods, and includes options to structure the variance-covariance matrix of
 the random effects. The analyst may use the software to smooth growth curves
 by a series of connected straight lines, to align irregularly observed
 curves to a common time grid, to create synthetic curves at a user-specified
 set of breakpoints, to estimate the time-to-time correlation matrix and to
 predict future observations. See <doi:10.18637/jss.v106.i07> for additional
 documentation on background, methodology and applications.

Package: r-cran-brolgar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4663
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fabletools, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-vctrs
Suggests: r-cran-gapminder, r-cran-gghighlight, r-cran-knitr, r-cran-matrix, r-cran-lme4, r-cran-modelr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tsibbledata, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-brolgar_1.0.1-1.ca2004.1_all.deb
Size: 3362424
MD5sum: e47acb40f44b3858f72a5eaa677c24bb
SHA1: 3ed124b505b849f59e2c2311d58022803a062302
SHA256: 4c366f94b40e781b9ee190425f525ad2c09adca385eaffedaef68a166141427b
SHA512: d1e470522b316eb54277e06344631a22f90f2d103ef6bec3e29a3df8eef51c3664cb081b604fc54bd2fb6f01e6c08a49152eab8b0955e891dc3de0c0712d488a
Homepage: https://cran.r-project.org/package=brolgar
Description: CRAN Package 'brolgar' (Browse Over Longitudinal Data Graphically and Analytically in R)
 Provides a framework of tools to summarise, visualise, and explore
 longitudinal data. It builds upon the tidy time series data frames used in
 the 'tsibble' package, and is designed to integrate within the 'tidyverse',
 and 'tidyverts' (for time series) ecosystems. The methods implemented
 include calculating features for understanding longitudinal data, including
 calculating summary statistics such as quantiles, medians, and numeric
 ranges, sampling individual series, identifying individual series
 representative of a group, and extending the facet system in 'ggplot2' to
 facilitate exploration of samples of data. These methods are fully described
 in the paper "brolgar: An R package to Browse Over Longitudinal Data
 Graphically and Analytically in R", Nicholas Tierney, Dianne Cook, Tania
 Prvan (2020) <doi:10.32614/RJ-2022-023>.

Package: r-cran-broom.helpers
Architecture: all
Version: 1.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cards, r-cran-cli, r-cran-dplyr, r-cran-labelled, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-betareg, r-cran-biglm, r-cran-brms, r-cran-broom.mixed, r-cran-cmprsk, r-cran-covr, r-cran-effects, r-cran-emmeans, r-cran-fixest, r-cran-forcats, r-cran-gam, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-ggeffects, r-cran-ggstats, r-cran-glmmtmb, r-cran-glmtoolbox, r-cran-glue, r-cran-gt, r-cran-gtsummary, r-cran-knitr, r-cran-lavaan, r-cran-lfe, r-cran-lme4, r-cran-logitr, r-cran-marginaleffects, r-cran-margins, r-cran-mass, r-cran-mgcv, r-cran-mice, r-cran-mmrm, r-cran-multgee, r-cran-nnet, r-cran-ordinal, r-cran-parameters, r-cran-parsnip, r-cran-patchwork, r-cran-plm, r-cran-pscl, r-cran-rmarkdown, r-cran-rstanarm, r-cran-scales, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-tidycmprsk, r-cran-vgam, r-cran-svyvgam
Filename: pool/dists/focal/main/r-cran-broom.helpers_1.21.0-1.ca2004.1_all.deb
Size: 571204
MD5sum: d168b146dbfc6db57230294cc3323c31
SHA1: b44c88b43e5f9611c3ae88c3a735b6a6b94b3a4e
SHA256: 27a78d826ad545aa411f3fdcc4238c7a805136718581cf1da0e3345245af6c95
SHA512: 51e4f28579fabb48c18e3201cae0b0f6bc01dc7904a2cdc497041ae51e92358b9b30beb907f7eec5853b1adfb22c0e0fc9e5f38934c42dbb3e02b7a0e82d204a
Homepage: https://cran.r-project.org/package=broom.helpers
Description: CRAN Package 'broom.helpers' (Helpers for Model Coefficients Tibbles)
 Provides suite of functions to work with regression model 'broom::tidy()'
 tibbles.  The suite includes functions to group regression model terms by
 variable, insert reference and header rows for categorical variables, add
 variable labels, and more.

Package: r-cran-broom.mixed
Architecture: all
Version: 0.2.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5486
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-coda, r-cran-dplyr, r-cran-forcats, r-cran-nlme, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-furrr
Suggests: r-cran-brms, r-cran-dotwhisker, r-cran-knitr, r-cran-testthat, r-cran-gamlss, r-cran-gamlss.data, r-cran-ggplot2, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-lmertest, r-cran-lme4, r-cran-matrix, r-cran-mcmcglmm, r-cran-mediation, r-cran-mgcv, r-cran-ordinal, r-cran-pander, r-cran-pbkrtest, r-cran-posterior, r-cran-rstan, r-cran-rstanarm, r-cran-rstantools, r-cran-r2jags, r-cran-tmb, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-broom.mixed_0.2.9.6-1.ca2004.1_all.deb
Size: 5305768
MD5sum: 24fb03ef3e2da72484f61ffc74776e31
SHA1: 907298ae416b33985ce062cab43fbdb5e40417ca
SHA256: 3986b87ce22e49ffac2f1265e053f6c73396c1bf7ed4389b804c12865245836e
SHA512: 055f9e943be658dd636f3602edb9b6e79759186c92bcfc7eea21d1f615c23c28aded6ac971543951405f45b349486e70290871d598cc5bd06a199d0ab6ea5b38
Homepage: https://cran.r-project.org/package=broom.mixed
Description: CRAN Package 'broom.mixed' (Tidying Methods for Mixed Models)
 Convert fitted objects from various R mixed-model packages into tidy data
 frames along the lines of the 'broom' package.  The package provides three
 S3 generics for each model: tidy(), which summarizes a model's statistical
 findings such as coefficients of a regression; augment(), which adds columns
 to the original data such as predictions, residuals and cluster assignments;
 and glance(), which provides a one-row summary of model-level statistics.

Package: r-cran-broom
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-aer, r-cran-auc, r-cran-bbmle, r-cran-betareg, r-cran-biglm, r-cran-bingroup, r-cran-boot, r-cran-btergm, r-cran-car, r-cran-cardata, r-cran-caret, r-cran-cluster, r-cran-cmprsk, r-cran-coda, r-cran-covr, r-cran-drc, r-cran-e1071, r-cran-emmeans, r-cran-epir, r-cran-ergm, r-cran-fixest, r-cran-gam, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-glmnet, r-cran-glmnetutils, r-cran-gmm, r-cran-hmisc, r-cran-irlba, r-cran-interp, r-cran-joinerml, r-cran-kendall, r-cran-knitr, r-cran-ks, r-cran-lahman, r-cran-lavaan, r-cran-leaps, r-cran-lfe, r-cran-lm.beta, r-cran-lme4, r-cran-lmodel2, r-cran-lmtest, r-cran-lsmeans, r-cran-maps, r-cran-margins, r-cran-mass, r-cran-mclust, r-cran-mediation, r-cran-metafor, r-cran-mfx, r-cran-mgcv, r-cran-mlogit, r-cran-modeldata, r-cran-modeltests, r-cran-muhaz, r-cran-multcomp, r-cran-network, r-cran-nnet, r-cran-ordinal, r-cran-plm, r-cran-polca, r-cran-psych, r-cran-quantreg, r-cran-rmarkdown, r-cran-robust, r-cran-robustbase, r-cran-rsample, r-cran-sandwich, r-cran-spdep, r-cran-spatialreg, r-cran-speedglm, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-systemfit, r-cran-testthat, r-cran-tseries, r-cran-vars, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-broom_1.0.8-1.ca2004.1_all.deb
Size: 1776964
MD5sum: ee3be3549b751e01f8abfb8cf33792c6
SHA1: 532d82596e29027941783e7fc00733d411f5cace
SHA256: a3064492ff5cdf6d5ac16ef5699c1d5fb6994ca39e507ef82ffc29ad8b2a293d
SHA512: b7c1dbf57cfcddce147332ceb5cf5cdbef3b3ad5770851d278f6e4a36598c9f7ffd9a45bebc5d9c7b53c6f8903a8c0d676700a0dd0e8d93e381b54272f5880a1
Homepage: https://cran.r-project.org/package=broom
Description: CRAN Package 'broom' (Convert Statistical Objects into Tidy Tibbles)
 Summarizes key information about statistical objects in tidy tibbles. This
 makes it easy to report results, create plots and consistently work with
 large numbers of models at once.  Broom provides three verbs that each
 provide different types of information about a model. tidy() summarizes
 information about model components such as coefficients of a regression.
 glance() reports information about an entire model, such as goodness of fit
 measures like AIC and BIC. augment() adds information about individual
 observations to a dataset, such as fitted values or influence measures.

Package: r-cran-broomextra
Architecture: all
Version: 4.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-broom.mixed, r-cran-dplyr, r-cran-magrittr, r-cran-performance, r-cran-rlang
Suggests: r-cran-generics, r-cran-lavaan, r-cran-lme4, r-cran-mass, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-broomextra_4.3.2-1.ca2004.1_all.deb
Size: 142452
MD5sum: 4d461b402aca2b9a2aeb079fcc2d5c13
SHA1: e76e21ed7b4e034580975b52ab36184a4be3b55e
SHA256: 425ac41bbb04025b1ba3111e10f9f6177a3a19c604793dfb72ead7021ce99ee9
SHA512: 52fb42b51f4717ed2638847511fc2051ace5d2e2f034e3745429bcd0bd5e6e7ec0267b6eefc02f4c6d0a55aea2acc390fe46e3b76ac0c3e7bde860842821347f
Homepage: https://cran.r-project.org/package=broomExtra
Description: CRAN Package 'broomExtra' (Enhancements for 'broom' and 'easystats' Package Families)
 Provides helper functions that assist in data analysis workflows involving
 regression analyses. The goal is to combine the functionality offered by
 different set of packages ('broom', 'broom.mixed', 'parameters', and
 'performance') through a common syntax to return tidy dataframes containing
 model parameters and performance measure summaries. The 'grouped_' variants
 of the generics provides a convenient way to execute functions across a
 combination of grouping variable(s) in a dataframe.

Package: r-cran-browndog
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite, r-cran-httpuv
Filename: pool/dists/focal/main/r-cran-browndog_0.2.1-1.ca2004.1_all.deb
Size: 29960
MD5sum: fa3ba9bd3f3aa957c74f4ec689794314
SHA1: 9e3ab044bc0cf0b5a1da773c670621f52aa0e653
SHA256: 707a95b21bf5d7f4992acaa7bdc445199db8046613767ad67d617369331e90ba
SHA512: 055039129645df4c61551f0c0228eccfb5bbe8d28c950f0f858ce6312d2b624b508c848a564324d6e2a0765a678670ac1ae3a867217271f29f0b2f3a40df04be
Homepage: https://cran.r-project.org/package=BrownDog
Description: CRAN Package 'BrownDog' (Brown Dog R Interface)
 An R interface for the Brown Dog which allows researchers to leverage Brown
 Dog Services that provides modules to identify the conversion options for a
 file, to convert file to appropriate format, or to extract data from a file.
 See <http://browndog.ncsa.illinois.edu/> for more information.

Package: r-cran-brpop
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-dplyr, r-cran-dtplyr, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-zendown
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-brpop_0.6.0-1.ca2004.1_all.deb
Size: 97964
MD5sum: cd484af6044d322549fd954215f38947
SHA1: 27d7b394052af99e665c01e87ca2485669984152
SHA256: 802d267d334921aa332b7b6d0ef1f2eff2bab2873092c67c4d75a67b2f74750a
SHA512: 8edbb41d6c5459d864ea3f92fea1d1a79e29f9bf7f5e416c18160fc4ba71a5523bbfacd4075e3e0589667f0b46411bbd46eb2592787d29dabd8abfd5e6dc495c
Homepage: https://cran.r-project.org/package=brpop
Description: CRAN Package 'brpop' (Brazilian Population Estimatives)
 Functions to handle and aggregate population estimates for Brazilian
 municipalities by sex and age groups.

Package: r-cran-brq
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-brq_3.0-1.ca2004.1_all.deb
Size: 157140
MD5sum: 22470fe77d4b21cc695f763db7a8a4aa
SHA1: ce5b7a6270259b96a0efaebafe8694d4f16eaf16
SHA256: 5e65041e39f8a3aaca65289a3893d9c8742c020678bb7c33a0c35e76bdb64cc2
SHA512: 58903810dd4d83c9f2fffcee9012704f629cc508f381e51e90be487592a8a1f759ddd1e1cea10f84b0896954e5b6a947f6380e169f8548720cb2772bbbdc81c1
Homepage: https://cran.r-project.org/package=Brq
Description: CRAN Package 'Brq' (Bayesian Analysis of Quantile Regression Models)
 Bayesian estimation and variable selection for quantile regression models.

Package: r-cran-brr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 594
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsl, r-cran-suppdists, r-cran-teachingdemos, r-cran-hypergeo, r-cran-pander, r-cran-stringr
Suggests: r-cran-testthat, r-cran-r.rsp, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-brr_1.0.0-1.ca2004.1_all.deb
Size: 500400
MD5sum: 65d3fd8e1aa3ce5003320df2dac7a798
SHA1: 98d5006bee5deca673d129791e06cdf1f7ad0a02
SHA256: 5a05d16c1bd89db98117a94f9ad45a2be6606da2f5e096985fea6ffe4ac23d48
SHA512: dc5d8409fa93a5193005124c39c2870bcddaf1c4382a3f1e60323903c218d1155c56f6ddb5607623291e4bc6cc2880e52163fe4b5e0a171a3686b9464a7ac217
Homepage: https://cran.r-project.org/package=brr
Description: CRAN Package 'brr' (Bayesian Inference on the Ratio of Two Poisson Rates)
 Implementation of the Bayesian inference for the two independent Poisson
 samples model, using the semi-conjugate family of prior distributions.

Package: r-cran-brranching
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-curl, r-cran-ape, r-cran-taxize, r-cran-phytools, r-cran-phylocomr, r-cran-conditionz
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-brranching_0.7.0-1.ca2004.1_all.deb
Size: 1186040
MD5sum: 2f615a75285722bcd569a067ab57f946
SHA1: 27fcc90568baf972fe0e7e10e4fafe71d20f0ea6
SHA256: 01310b890083c5153f932a938065022faf5e8a0f12dab5cf51d18c1d92ace91a
SHA512: a92ad3a7ab8ab1693adde94add7aa4a44c0e7cefb8b00853608d55959fd99f8165d93e1347ae6853cee147fa4d534f1cd9c5891448c8ac5141e4bee8dd1a8cfc
Homepage: https://cran.r-project.org/package=brranching
Description: CRAN Package 'brranching' (Fetch 'Phylogenies' from Many Sources)
 Includes methods for fetching 'phylogenies' from a variety of sources,
 including the 'Phylomatic' web service
 (<http://phylodiversity.net/phylomatic/>), and 'Phylocom'
 (<https://github.com/phylocom/phylocom/>).

Package: r-cran-brsim
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-corrplot, r-cran-rcmdrmisc
Filename: pool/dists/focal/main/r-cran-brsim_0.3-1.ca2004.1_all.deb
Size: 27576
MD5sum: 876242ecb1c612775cfa8e3b0ad107e5
SHA1: e44fa2147414d14149bb96b16099f4c6af84233a
SHA256: fa6fb97270a60a75aa12a235c3037fbaa6c7d41393a8adf9f2f3370c8fbde953
SHA512: fbcbd34b215fe9c65275cd69fc35ac3402fd7a7187e8f49d80c4836b22262e7053c4f8bbff187b36381ed26bf2ceed0719ac0f219c186fbeeebf335ad266e93f
Homepage: https://cran.r-project.org/package=brsim
Description: CRAN Package 'brsim' (Brainerd-Robinson Similarity Coefficient Matrix)
 Provides the facility to calculate the Brainerd-Robinson similarity
 coefficient for the rows of an input table, and to calculate the
 significance of each coefficient based on a permutation approach; a heatmap
 is produced to visually represent the similarity matrix. Optionally,
 hierarchical agglomerative clustering can be performed and the silhouette
 method is used to identify an optimal number of clusters; the results of the
 clustering can be optionally used to sort the heatmap.

Package: r-cran-brucer
Architecture: all
Version: 2024.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-data.table, r-cran-rio, r-cran-crayon, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-ggplot2, r-cran-psych, r-cran-afex, r-cran-emmeans, r-cran-effectsize, r-cran-performance, r-cran-mediation, r-cran-interactions, r-cran-lavaan, r-cran-jtools, r-cran-texreg, r-cran-lmertest
Suggests: r-cran-pacman, r-cran-glue, r-cran-tibble, r-cran-forcats, r-cran-haven, r-cran-foreign, r-cran-readxl, r-cran-openxlsx, r-cran-clipr, r-cran-cowplot, r-cran-ggtext, r-cran-see, r-cran-car, r-cran-lmtest, r-cran-lme4, r-cran-nnet, r-cran-vars, r-cran-phia, r-cran-mass, r-cran-mumin, r-cran-bayesfactor, r-cran-ggally, r-cran-gparotation
Filename: pool/dists/focal/main/r-cran-brucer_2024.6-1.ca2004.1_all.deb
Size: 544764
MD5sum: 4e6d38d87d2bf2f7542ac946b0db0663
SHA1: a617297aae38294d36911b9c66837441bce13adf
SHA256: d5dc41ff05c96b35c450fcb67c64dc10a660d5df3093edfff94e021aa0f4ffe9
SHA512: 570366e9e056febd0b9d0f610516a5f65b4a8182f4c9593512e0b6b8db359fe2e3c9fbfc2d996c7323b7f0e014df22795b78725132bcab64bb41c8510bb0fda4
Homepage: https://cran.r-project.org/package=bruceR
Description: CRAN Package 'bruceR' (Broadly Useful Convenient and Efficient R Functions)
 Broadly useful convenient and efficient R functions that bring users concise
 and elegant R data analyses.  This package includes easy-to-use functions
 for (1) basic R programming (e.g., set working directory to the path of
 currently opened file; import/export data from/to files in any format; print
 tables to Microsoft Word); (2) multivariate computation (e.g., compute scale
 sums/means/... with reverse scoring); (3) reliability analyses and factor
 analyses; (4) descriptive statistics and correlation analyses; (5) t-test,
 multi-factor analysis of variance (ANOVA), simple-effect analysis, and
 post-hoc multiple comparison; (6) tidy report of statistical models (to R
 Console and Microsoft Word); (7) mediation and moderation analyses
 (PROCESS); and (8) additional toolbox for statistics and graphics.

Package: r-cran-brulee
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-coro, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-glue, r-cran-hardhat, r-cran-rlang, r-cran-tibble, r-cran-torch
Suggests: r-cran-covr, r-cran-modeldata, r-cran-purrr, r-cran-recipes, r-cran-spelling, r-cran-testthat, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-brulee_0.5.0-1.ca2004.1_all.deb
Size: 281040
MD5sum: 098dae869cf54abcc157d5936cce4e5e
SHA1: e39d836a40c3567f53b27dd8fee3537405906f8c
SHA256: 6ab035b42df42d4e667a1ae888417dc701e71ddf756cc8a0f70237c6ddf4d465
SHA512: 92703413303bf6a1dd12db8c1eceb9ead182812ccfa33dac378bed7d1f3728311e78f978d5bb2ba69801c0d25f80b102916188d3e49d67c2f1fd259c7b68314e
Homepage: https://cran.r-project.org/package=brulee
Description: CRAN Package 'brulee' (High-Level Modeling Functions with 'torch')
 Provides high-level modeling functions to define and train models using the
 'torch' R package. Models include linear, logistic, and multinomial
 regression as well as multilayer perceptrons.

Package: r-cran-brundle
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-diffbind, r-bioc-rsamtools, r-bioc-deseq2, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-brundle_1.0.9-1.ca2004.1_all.deb
Size: 495996
MD5sum: 7db1bf91c611840b92731b460b7acce3
SHA1: 9fea60eee00d1032fa3c5f35c474d9b7046c1049
SHA256: 8d97a431a6f59b9fd8b15af4d23466f924d8c7a0abadbd7993b00b7170d5e663
SHA512: 011eb5261217fc2c0f4a3bcaa127e18d131a3600298f2120a35debe9d31c9cd49240d2620aa684c3109416ca51a78bf6dc25f0afef631be3375cbd40b845aacb
Homepage: https://cran.r-project.org/package=Brundle
Description: CRAN Package 'Brundle' (Normalisation Tools for Inter-Condition Variability of ChIP-SeqData)
 Inter-sample condition variability is a key challenge of normalising
 ChIP-seq data. This implementation uses either spike-in or a second factor
 as a control for normalisation. Input can either be from 'DiffBind' or a
 matrix formatted for 'DESeq2'. The output is either a 'DiffBind' object or
 the default 'DESeq2' output. Either can then be processed as normal.
 Supporting manuscript Guertin, Markowetz and Holding (2017)
 <doi:10.1101/182261>.

Package: r-cran-bruneimap
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2957
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-lifecycle
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-bruneimap_0.3.1-1.ca2004.1_all.deb
Size: 2946108
MD5sum: 65b47f969de027f5c5bac87b021cea39
SHA1: b02cffa12d29ad004bea787b1c76bf07b182d794
SHA256: 8c3ce27e1d4fe23e5dfdcff18174d602f8bf0e3226a244ac35d9dfafdc71165d
SHA512: e6dd405c7d97bf42a7728cab0727a3afc7a1e758be142c4c939d19e6bc23c43a89874001e8c648885f4d945fc041ddccec73b8267894ceea646c37b02bb2101b
Homepage: https://cran.r-project.org/package=bruneimap
Description: CRAN Package 'bruneimap' (Maps and Spatial Data of Brunei)
 Provides spatial data for mapping Brunei, including boundaries for
 districts, mukims, and kampongs, as well as locations of key infrastructure
 such as masjids, hospitals, clinics, and schools. The package supports
 researchers, analysts, and developers working with Brunei’s geographic and
 demographic data, offering a quick and accessible foundation for creating
 maps and conducting spatial studies.

Package: r-cran-brvm
Architecture: all
Version: 5.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-dplyr, r-cran-gsheet, r-cran-httr, r-cran-httr2, r-cran-tseries, r-cran-goftest, r-cran-nortest, r-cran-fbasics, r-cran-stringr, r-cran-tibble, r-cran-xml2, r-cran-highcharter, r-cran-xts, r-cran-formattable, r-cran-timedate, r-cran-rvest, r-cran-lubridate
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-brvm_5.3.0-1.ca2004.1_all.deb
Size: 169348
MD5sum: ea3a903fe05a11c6dfcd6c45e47dcad3
SHA1: 174ab752d676b8b6d50910c6764f3abfc62d5bb4
SHA256: 49bb51469f979898e3700a47f94258b556622797f9850cd0f9d51aed6b3afdaa
SHA512: 6925b36ef42c666a91a4590e695de3ddea4175c538b6bdf32b800d03de7a4582ebb7693b8ba8937c869c55dc15894e3b730c4a6bbe23b52dc9c2dc7c5daec0d6
Homepage: https://cran.r-project.org/package=BRVM
Description: CRAN Package 'BRVM' (Retrieve Historical Data of Companies Listed on the 'BRVM' StockExchange)
 Provide real-time access to data from the Regional Securities Exchange
 SA(<https://www.brvm.org/en>), commonly known as the 'BRVM' stock exchange.
 The goal is to facilitate data access for users of the R programming
 language. The package includes a variety of data that can be accessed by
 calling functions.

Package: r-cran-brxx
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-gparotation, r-cran-teachingdemos, r-cran-blavaan, r-cran-blme, r-cran-mass, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-brxx_0.1.2-1.ca2004.1_all.deb
Size: 79836
MD5sum: 44f650493dcd6f14061297185b04d216
SHA1: 2500c1935d79661ac91bcb181973247cce6bd8f7
SHA256: 2b9678fdc5c21f17faca68df5aecbbdc5e184790b37adc88535d20c9c50b409c
SHA512: 3128e0ea5e6d606ffead81c5c052f9726013ca1fff019b59b28c20050e03aa569a1fec9a53acaf9d0346f45d98f6677934fd3b448e28f83e1783aa168c9b9639
Homepage: https://cran.r-project.org/package=brxx
Description: CRAN Package 'brxx' (Bayesian Test Reliability Estimation)
 When samples contain missing data, are small, or are suspected of bias,
 estimation of scale reliability may not be trustworthy.  A recommended
 solution for this common problem has been Bayesian model estimation.
 Bayesian methods rely on user specified information from historical data or
 researcher intuition to more accurately estimate the parameters.  This
 package provides a user friendly interface for estimating test reliability.
 Here, reliability is modeled as a beta distributed random variable with
 shape parameters alpha=true score variance and beta=error variance (Tanzer &
 Harlow, 2020) <doi:10.1080/00273171.2020.1854082>.

Package: r-cran-bs4cards
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-covr, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-bs4cards_0.1.1-1.ca2004.1_all.deb
Size: 64240
MD5sum: 5aa87f3c538c83340c4b58fa525cdec8
SHA1: 244c369e47e11b2effb8accfa526ab579600b0eb
SHA256: 5e91a72153e31cb75df0abef785b5e8cb83ac9eb99be3f3fe780a12110dcf707
SHA512: c81a8fa2b7f8631562adc1cc5560f0fa93116569e1eb9d7cd6e5ee3f3003eabc2b7197691f1dec18fa1ab60b99fb91d92caa35e23f2cd79c6e87089dc7221ad0
Homepage: https://cran.r-project.org/package=bs4cards
Description: CRAN Package 'bs4cards' (Generate Bootstrap Cards)
 Allows the user to generate bootstrap cards within R markdown documents.
 Intended for use in conjunction with R markdown HTML outputs and other
 formats that support the bootstrap 4 library.

Package: r-cran-bs4dash
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-jsonlite, r-cran-fresh, r-cran-waiter, r-cran-httpuv, r-cran-lifecycle, r-cran-bslib, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-golem, r-cran-dt, r-cran-thematic
Filename: pool/dists/focal/main/r-cran-bs4dash_2.3.4-1.ca2004.1_all.deb
Size: 1120012
MD5sum: e3a9e6294d3fdfa6f07facdee515bbcd
SHA1: 6544bb4b3e9519528b0ac9ecf932f239ba0b2c76
SHA256: 8dea1f61ba70f7859d9fa70f4bebf4d1b3cd38dfde15bc99a5fb364981102e9a
SHA512: 6ad950564a4eebc4393b3e7511864a913c42068c6930d27777e1d05acc903c819e0d99aedbae8cd4265508c3dcd500453565586a7b0bdf16d23c57618b3f3fc4
Homepage: https://cran.r-project.org/package=bs4Dash
Description: CRAN Package 'bs4Dash' (A 'Bootstrap 4' Version of 'shinydashboard')
 Make 'Bootstrap 4' Shiny dashboards. Use the full power of 'AdminLTE3', a
 dashboard template built on top of 'Bootstrap 4'
 <https://github.com/ColorlibHQ/AdminLTE>.

Package: r-cran-bsagri
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-multcomp, r-cran-mcpan, r-cran-mvtnorm, r-cran-boot, r-cran-mratios
Filename: pool/dists/focal/main/r-cran-bsagri_0.1-10-1.ca2004.1_all.deb
Size: 187092
MD5sum: 55c52c4b127a56edad0893d8c426f424
SHA1: a4fa71370ff22b72db1885050b91f653e27e82f4
SHA256: 2257c75037a9b85c91cb219ae1ac4238ef3414857aad101da185e18fa32c5c43
SHA512: c543f576052d88bdb56e927f2e2ffd7c8ac2612b20b4634b56cb6d55996d871d68a4f05baa420191b6787663fb016993f27259f372842ea4f88b2cc3bface9f3
Homepage: https://cran.r-project.org/package=BSagri
Description: CRAN Package 'BSagri' (Safety Assessment in Agricultural Field Trials)
 Collection of functions, data sets and code examples for evaluations of
 field trials with the objective of equivalence assessment.

Package: r-cran-bsam
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-msm, r-cran-mvtnorm, r-cran-sp, r-cran-tibble, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-bsam_1.1.3-1.ca2004.1_all.deb
Size: 115932
MD5sum: 6e84b6ed331bd6fe5ea1be717ec81608
SHA1: b7320ef4d55c92457ebf888a0df977a8371a983b
SHA256: a744f62c163c41373abb513ead4944516c1e6efd390c06f73904ff92b9c19beb
SHA512: 2f3124984ce04323953d18e9113688338fc192ecef571cd0a806c735f4408301406b64d35a27e28540fcc7b9796166f30017070a73ce59bbe6306b951b0bbb07
Homepage: https://cran.r-project.org/package=bsam
Description: CRAN Package 'bsam' (Bayesian State-Space Models for Animal Movement)
 Tools to fit Bayesian state-space models to animal tracking data. Models are
 provided for location filtering, location filtering and behavioural state
 estimation, and their hierarchical versions.  The models are primarily
 intended for fitting to ARGOS satellite tracking data but options exist to
 fit to other tracking data types. For Global Positioning System data,
 consider the 'moveHMM' package.  Simplified Markov Chain Monte Carlo
 convergence diagnostic plotting is provided but users are encouraged to
 explore tools available in packages such as 'coda' and 'boa'.

Package: r-cran-bsbt
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2782
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-igraph, r-cran-expm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-sf, r-cran-surveillance, r-cran-spdep, r-cran-rcolorbrewer, r-cran-deldir, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-bsbt_1.2.1-1.ca2004.1_all.deb
Size: 2462724
MD5sum: e33bd5da276eccd8163a026bcee1faa7
SHA1: 6b2de08de06a714df85dce1a241de68a154dabfc
SHA256: f93968f06f5d1d3a7d4aca07a2044ebe7fd276eacb9bbd87f50c80eae781d7f3
SHA512: 5d581eccd8b944f8eb885f522c87930dfa4dfac9c38edc7d603c359b7a7631db7be2db7d8b0ed001909933dfcb3a99b6f7cc4bb11efeed8fed55fb8b2b221a9b
Homepage: https://cran.r-project.org/package=BSBT
Description: CRAN Package 'BSBT' (The Bayesian Spatial Bradley--Terry Model)
 An implementation of the Bayesian Spatial Bradley--Terry (BSBT) model. It
 can be used to investigate data sets where judges compared different spatial
 areas. It constructs a network to describe how the areas are connected, and
 then places a correlated prior distribution on the quality parameter for
 each area, based on the network. The package includes MCMC algorithms to
 estimate the quality parameters. The methodology is published in Seymour et.
 al. (2020) <arXiv:2010.14128>.

Package: r-cran-bscui
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4530
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-webshot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-here, r-cran-xml2, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-glue, r-cran-scales, r-cran-shiny, r-cran-reactable, r-cran-reactable.extras
Filename: pool/dists/focal/main/r-cran-bscui_0.1.6-1.ca2004.1_all.deb
Size: 1335112
MD5sum: 996555bd27efbdb473a9b93fb125e560
SHA1: 5f010e863d16c6cb3c176d168fd4d1176c0840f6
SHA256: 2f6e4ed94b81c2e6ba1e33e29d15b20df835cc15211d938d9fb8c1117c9f2c04
SHA512: b94ea821e1b267a598a1fdfe09c290ba4b6b19b04c7f90b8c7d6b5d63be94e674c5081f97f7399d6bc4f21de5529d8f9350340af09e25e41c09093108315fd55
Homepage: https://cran.r-project.org/package=bscui
Description: CRAN Package 'bscui' (Build SVG Custom User Interface)
 Render SVG as interactive figures to display contextual information, with
 selectable and clickable user interface elements.  These figures can be
 seamlessly integrated into 'rmarkdown' and 'Quarto' documents, as well as
 'shiny' applications, allowing manipulation of elements and reporting
 actions performed on them.  Additional features include pan, zoom in/out
 functionality, and the ability to export the figures in SVG or PNG formats.

Package: r-cran-bsda
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 991
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-e1071
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-bsda_1.2.2-1.ca2004.1_all.deb
Size: 865480
MD5sum: 3edea05f0af1b069d8856106e8efb518
SHA1: e7e2775f208c1d704c6f63b6d48c5590cddb2a12
SHA256: 397d9480808ac95a428492fd0e35f39306de775e9f1a2d27ab2779a0b132ef3d
SHA512: bb95c209e740b726e41ce8584ef12af8ea004c70afc43995be0b1e92b6df0d8a610a99cc09644effe08d6f6b297efd53f951052d3a063c73ec571e67d56e426d
Homepage: https://cran.r-project.org/package=BSDA
Description: CRAN Package 'BSDA' (Basic Statistics and Data Analysis)
 Data sets for book "Basic Statistics and Data Analysis" by Larry J.
 Kitchens.

Package: r-cran-bsgof
Architecture: all
Version: 0.23.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2522
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bsgof_0.23.8-1.ca2004.1_all.deb
Size: 2437672
MD5sum: 0ac28ce7baeb5c76f65a263d7630945e
SHA1: 54e0753644ba8e6441fcdb40f7126a6a154c03f7
SHA256: f631e55880556339acb021d5734f099ffbfd78195a0a73551a30fd102b6a2848
SHA512: f2f3ad46fe1e4f6e5ede148456ccf55ad4018544d5a96e69f27df50ab645cc62a60f78ce217bb43618d04616e8a26094edc63a3ce6f03d1e4c3e71ba42ce34c4
Homepage: https://cran.r-project.org/package=bsgof
Description: CRAN Package 'bsgof' (Birnbaum-Saunders Goodness-of-Fit Test)
 Performs goodness of fit test for the Birnbaum-Saunders distribution and
 provides the maximum likelihood estimate and the method-of-moments estimate.
 For more details, see Park and Wang (2013) <arXiv:2308.10150>. This work was
 supported by the National Research Foundation of Korea (NRF) grants funded
 by the Korea government (MSIT) (No. 2022R1A2C1091319, RS-2023-00242528).

Package: r-cran-bsgs
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pscl, r-cran-plyr, r-cran-batchmeans
Filename: pool/dists/focal/main/r-cran-bsgs_2.0-1.ca2004.1_all.deb
Size: 147840
MD5sum: 2d0108a3182791ecc6145b8adfa38e98
SHA1: 43893eac9f8537dae291232b3beeb074580fb95a
SHA256: ec1bd9660e810463bae52c425283c5e6e9950098c781ccabed29a32e9b647de2
SHA512: f911bf382f78fe2a0db86c798bef226b410d01192fb9185575a591f19eef8c62af0d4a37c8476a857090fcb540170bf5e12d6961f916cb5666d3d7e76ed51e0d
Homepage: https://cran.r-project.org/package=BSGS
Description: CRAN Package 'BSGS' (Bayesian Sparse Group Selection)
 The integration of Bayesian variable and sparse group variable selection
 approaches for regression models.

Package: r-cran-bsgw
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-survival, r-cran-mfusampler
Filename: pool/dists/focal/main/r-cran-bsgw_0.9.4-1.ca2004.1_all.deb
Size: 93552
MD5sum: 05a3120fe169c36b7e4bf696a5398028
SHA1: b321371645017841b1cca367124fe81c9a3a8714
SHA256: dc0b3f823a826e8dfd2ddef3d3d5dbaafbf69a64fda8e56f9d7dff04bf27386f
SHA512: ed1913c08018fcc3d8ca520837c1524d338e761c7d55a5606ca77229aa58f3a938fc985b16a109516abb12e61b1464c1544ce1a6a6b32cc35394a0ac8e6d7e57
Homepage: https://cran.r-project.org/package=BSGW
Description: CRAN Package 'BSGW' (Bayesian Survival Model with Lasso Shrinkage Using GeneralizedWeibull Regression)
 Bayesian survival model using Weibull regression on both scale and shape
 parameters. Dependence of shape parameter on covariates permits deviation
 from proportional-hazard assumption, leading to dynamic - i.e. non-constant
 with time - hazard ratios between subjects. Bayesian Lasso shrinkage in the
 form of two Laplace priors - one for scale and one for shape coefficients -
 allows for many covariates to be included. Cross-validation helper functions
 can be used to tune the shrinkage parameters. Monte Carlo Markov Chain
 (MCMC) sampling using a Gibbs wrapper around Radford Neal's univariate slice
 sampler (R package MfUSampler) is used for coefficient estimation.

Package: r-cran-bshazard
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-epi
Filename: pool/dists/focal/main/r-cran-bshazard_1.2-1.ca2004.1_all.deb
Size: 51176
MD5sum: 5523fc8c36f90e7c86d575c4a9cfab16
SHA1: c3682d5e9800ae7a9a66face174a9bf82e8101b7
SHA256: f2e1c5c8fb3a2a3518b901c7c144168bea4a98956f6a879d5d6297bdc0435308
SHA512: 23e6f7c0c25ec364eca5805dedb675fe3338b02eabbc68911f0d7265551dc459a4d3d9b6d5a512bf0f442625279fbdca1405eafdffb04f0f83e3429d302d4bb7
Homepage: https://cran.r-project.org/package=bshazard
Description: CRAN Package 'bshazard' (Nonparametric Smoothing of the Hazard Function)
 The function estimates the hazard function non parametrically from a
 survival object (possibly adjusted for covariates).  The smoothed estimate
 is based on B-splines from the perspective of generalized linear mixed
 models. Left truncated and right censoring data are allowed.  The package is
 based on the work in Rebora P (2014) <doi:10.32614/RJ-2014-028>.

Package: r-cran-bsi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bsi_1.0.0-1.ca2004.1_all.deb
Size: 43724
MD5sum: 9a599859553d1bdd231a15373bb0e232
SHA1: b0748aeab641f8d6b35af684b39680f03bd1a382
SHA256: 42ee54f15f86ce2634a9a50212a27a6bf92f400f22c0d3c92575f48425dc611a
SHA512: 5e32635d8cb9f7189486508f7714cce22ba16173b323a52be835b17a90fadbb1b9f5607c8ae24e244e8a7b5a176dedbc2d4cf0baaf0997567c01fcf4e2786db5
Homepage: https://cran.r-project.org/package=bSi
Description: CRAN Package 'bSi' (Modeling and Computing Biogenic Silica ('bSi') from Inland andPelagic Sediments)
 A collection of integrated tools designed to seamlessly interact with each
 other for the analysis of biogenic silica 'bSi' in inland and marine
 sediments. These tools share common data representations and follow a
 consistent 'API' design. The primary goal of the 'bSi' package is to
 simplify the installation process, facilitate data loading, and enable the
 analysis of multiple samples for biogenic silica fluxes. This package is
 designed to enhance the efficiency and coherence of the entire 'bSi'
 analytic workflow, from data loading to model construction and visualization
 tailored towards reconstructing productivity in aquatic ecosystems.

Package: r-cran-bsicons
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-htmltools, r-cran-rlang
Suggests: r-cran-bslib, r-cran-processx, r-cran-testthat, r-cran-webshot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-bsicons_0.1.2-1.ca2004.1_all.deb
Size: 257208
MD5sum: 6038c5db0bdcc908316cca00019b9a33
SHA1: ea5c5c128fe0bf0510574feabe46af8fbb1245fc
SHA256: ca6cca6317662167b0fd15b6c489be6e23e07b7fba61400ffd4a6a49d45cfece
SHA512: ca11677db1c9e634cb0fa20a64e7a9139d3b4515ab03d29afbb538346dab820d20084b1b9c7cffbbb45863b30daf36815d62a2a4fca173b9028e617d31ee02ba
Homepage: https://cran.r-project.org/package=bsicons
Description: CRAN Package 'bsicons' (Easily Work with 'Bootstrap' Icons)
 Easily use 'Bootstrap' icons inside 'Shiny' apps and 'R Markdown' documents.
 More generally, icons can be inserted in any 'htmltools' document through
 inline 'SVG'.

Package: r-cran-bsims
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-intrval, r-cran-mefa4, r-cran-mass, r-cran-deldir, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-detect, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-bsims_0.3-2-1.ca2004.1_all.deb
Size: 1886408
MD5sum: ba4b95ad9c4c515c7049e8cfb449b058
SHA1: 0e3e14eaa2cc99fee957be1b0808c7f17e3bbaf7
SHA256: be9115bfadbf44aa6e104a532efdf7007ec336962de6734cba6734da27fe3d4f
SHA512: ba978e7673a00d81846d5c69acf2a328b2525b14df4b7276edc5a923b62d8f0d83700807369c05662a9f705dc68f1acfe4a970cefd8362ba269d49e265f46af7
Homepage: https://cran.r-project.org/package=bSims
Description: CRAN Package 'bSims' (Agent-Based Bird Point Count Simulator)
 A highly scientific and utterly addictive bird point count simulator to test
 statistical assumptions, aid survey design, and have fun while doing it
 (Solymos 2024 <doi:10.1007/s42977-023-00183-2>).  The simulations follow
 time-removal and distance sampling models based on Matsuoka et al. (2012)
 <doi:10.1525/auk.2012.11190>, Solymos et al. (2013)
 <doi:10.1111/2041-210X.12106>, and Solymos et al. (2018)
 <doi:10.1650/CONDOR-18-32.1>, and sound attenuation experiments by Yip et
 al. (2017) <doi:10.1650/CONDOR-16-93.1>.

Package: r-cran-bsitar
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7827
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-rstan, r-cran-loo, r-cran-dplyr, r-cran-rlang, r-cran-rdpack, r-cran-insight, r-cran-data.table, r-cran-collapse, r-cran-marginaleffects, r-cran-sitar, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-bayesplot, r-cran-posterior, r-cran-testthat, r-cran-dtplyr, r-cran-checkmate, r-cran-doparallel, r-cran-foreach, r-cran-ggridges, r-cran-jtools, r-cran-fastplyr, r-cran-dofuture, r-cran-cheapr, r-cran-installr, r-cran-splines2, r-cran-tidyr, r-cran-nlme, r-cran-purrr, r-cran-future, r-cran-future.apply, r-cran-forcats, r-cran-patchwork, r-cran-tibble, r-cran-pracma, r-cran-extradistr, r-cran-bookdown, r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-spelling, r-cran-hmisc, r-cran-r.rsp, r-cran-ggtext, r-cran-glue, r-cran-here
Filename: pool/dists/focal/main/r-cran-bsitar_0.3.2-1.ca2004.1_all.deb
Size: 7482620
MD5sum: 938d0fef94a5af1797c8857dd3c0d685
SHA1: 001b9d607c995d9917122a8e0feae042c205bb69
SHA256: 511356de8dc534d565d4062c1df0a74f152c01cb8ea6b8a5444565c65a6608ae
SHA512: f97835b4573b25e4c91498877babe5a5df875804d4e877be7bbc031d2361ae907b313b7701add843257d024c07b5ea7fdaa2ea85b6410afb5c47d0e82df5e1c7
Homepage: https://cran.r-project.org/package=bsitar
Description: CRAN Package 'bsitar' (Bayesian Super Imposition by Translation and Rotation GrowthCurve Analysis)
 The Super Imposition by Translation and Rotation (SITAR) model is a
 shape-invariant nonlinear mixed effect model that fits a natural cubic
 spline mean curve to the growth data and aligns individual-specific growth
 curves to the underlying mean curve via a set of random effects (see Cole,
 2010 <doi:10.1093/ije/dyq115> for details). The non-Bayesian version of the
 SITAR model can be fit by using the already available R package 'sitar'.
 While the 'sitar' package allows modelling of a single outcome only, the
 'bsitar' package offers great flexibility in fitting models of varying
 complexities, including joint modelling of multiple outcomes such as height
 and weight (multivariate model). Additionally, the 'bsitar' package allows
 for the simultaneous analysis of an outcome separately for subgroups defined
 by a factor variable such as gender. This is achieved by fitting separate
 models for each subgroup (for example males and females for gender
 variable). An advantage of this approach is that posterior draws for each
 subgroup are part of a single model object, making it possible to compare
 coefficients across subgroups and test hypotheses.  Since the 'bsitar'
 package is a front-end to the R package 'brms', it offers excellent support
 for post-processing of posterior draws via various functions that are
 directly available from the 'brms' package. In addition, the 'bsitar'
 package includes various customized functions that allow for the
 visualization of distance (increase in size with age) and velocity (change
 in growth rate as a function of age), as well as the estimation of growth
 spurt parameters such as age at peak growth velocity and peak growth
 velocity.

Package: r-cran-bskyr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-httr2, r-cran-lubridate, r-cran-magick, r-cran-mime, r-cran-opengraph, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-emoji, r-cran-httptest2, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bskyr_0.3.0-1.ca2004.1_all.deb
Size: 331948
MD5sum: 516428e7730674124413e6f14a7efbe8
SHA1: 09569dd5fa7030730c68d5a59f76e9c8b83f1c30
SHA256: 6da7ced0798735dc7fb8977863336a452182a95522e43489519e7722b8eec797
SHA512: 68c1041f861423ddc5ee7c87b84459d85ebb1e39650aac36d145ae81f7b720938a89f0b370ca219af110836002e20d489d90dcfcaa7c37ff9e5fdbb7009ee443
Homepage: https://cran.r-project.org/package=bskyr
Description: CRAN Package 'bskyr' (Interact with 'Bluesky' Social)
 Collect data from and make posts on 'Bluesky' Social via the Hypertext
 Transfer Protocol (HTTP) Application Programming Interface (API), as
 documented at <https://atproto.com/specs/xrpc>. This further supports
 broader queries to the Authenticated Transfer (AT) Protocol
 <https://atproto.com/> which 'Bluesky' Social relies on. Data is returned in
 a tidy format and posts can be made using a simple interface.

Package: r-cran-bslib
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11493
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-cachem, r-cran-fastmap, r-cran-htmltools, r-cran-jquerylib, r-cran-jsonlite, r-cran-lifecycle, r-cran-memoise, r-cran-mime, r-cran-rlang, r-cran-sass
Suggests: r-cran-bsicons, r-cran-curl, r-cran-fontawesome, r-cran-future, r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-rappdirs, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-thematic, r-cran-withr, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-bslib_0.9.0-1.ca2004.1_all.deb
Size: 4950060
MD5sum: 4fc30853c24e187c167e16a4ddc5badc
SHA1: 693fd5b04ef228392bfc7aa9dad3b9c0b39dc351
SHA256: bb4c68f7e2d745dd5f8dbe978b12f0f8c57e2cd8a5158aaafc13248d29acece9
SHA512: 4eea28a3e0408fc7e6605ba54602683f574091c2dfe4d6c2bcbf37f8a3d9f84248a5991ad06bd8f9ed394e1ad579fa1cc2de877834ee6a783d53fd5a2a150fc6
Homepage: https://cran.r-project.org/package=bslib
Description: CRAN Package 'bslib' (Custom 'Bootstrap' 'Sass' Themes for 'shiny' and 'rmarkdown')
 Simplifies custom 'CSS' styling of both 'shiny' and 'rmarkdown' via
 'Bootstrap' 'Sass'. Supports 'Bootstrap' 3, 4 and 5 as well as their various
 'Bootswatch' themes. An interactive widget is also provided for previewing
 themes in real time.

Package: r-cran-bspadata
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-spdep, r-cran-pscl, r-cran-pbapply, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bspadata_1.1.0-1.ca2004.1_all.deb
Size: 174008
MD5sum: d34a0c8c976c9ef9a75221638d9d6c4b
SHA1: 6c17558d529c1a91cd983510d60cb0f5b2a4343f
SHA256: db25371d09d6a7d00cad1196eb4b498f0840f97ef4de86e6a92fa5cef4ee4f54
SHA512: b8d3207c72bc51419aedda7628f16479692cdc2aef43fc9f850cbee04a829e43821d7349089208df54bed1f163316c03d0ac013c3638357993215dd8157be5d7
Homepage: https://cran.r-project.org/package=BSPADATA
Description: CRAN Package 'BSPADATA' (Bayesian Proposal to Fit Spatial Econometric Models)
 The purpose of this package is to fit the three Spatial Econometric Models
 proposed in Anselin (1988, ISBN:9024737354) in the homoscedastic and the
 heteroscedatic case. The fit is made through MCMC algorithms and
 observational working variables approach.

Package: r-cran-bspcov
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 848
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gigrvg, r-cran-coda, r-cran-progress, r-cran-bayesfactor, r-cran-mass, r-cran-mvnfast, r-cran-matrixcalc, r-cran-matrixstats, r-cran-purrr, r-cran-dplyr, r-cran-rspectra, r-cran-matrix, r-cran-plyr, r-cran-cholwishart, r-cran-magrittr, r-cran-future, r-cran-furrr, r-cran-ks, r-cran-ggplot2, r-cran-ggmcmc, r-cran-caret, r-cran-fincovregularization, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-bspcov_1.0.1-1.ca2004.1_all.deb
Size: 831124
MD5sum: b2583681ab29f58d22a2438a6017ed43
SHA1: 9ff70fce1a92f88a3092ab91cff11494cf5735c5
SHA256: f8587ec17f9c3e3a9ee8d2be8c8b57c60b4feb7056995341811d2b4b066e2cf4
SHA512: d715c58c7720d57055982364f881ad5406cd76743e48db439cad9d1166adab801df6359d82d013ea4b478459a2e20b97ce338783efdb878f024c2530f0276b1d
Homepage: https://cran.r-project.org/package=bspcov
Description: CRAN Package 'bspcov' (Bayesian Sparse Estimation of a Covariance Matrix)
 Provides functions which perform Bayesian estimations of a covariance matrix
 for multivariate normal data. Assumes that the covariance matrix is sparse
 or band matrix and positive-definite.  This software has been developed
 using funding supported by Basic Science Research Program through the
 National Research Foundation of Korea ('NRF') funded by the Ministry of
 Education ('RS-2023-00211979', 'NRF-2022R1A5A7033499',
 'NRF-2020R1A4A1018207' and 'NRF-2020R1C1C1A01013338').

Package: r-cran-bspec
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bspec_1.6-1.ca2004.1_all.deb
Size: 152740
MD5sum: 1c4d8ee6a2ef7d4e54e4c6a9337fdbee
SHA1: 370a2883921bf705550ca70b6c908dd94ed5481b
SHA256: 6ec980041b0456b8c14f6dfa266fc2b87cab7918202aea90fbee33747ef82b91
SHA512: ad42d4fdec50b81cb0a848083d4ca03e73e11808d9dd5c5606b05e684e2f91044301844a7fba536cea97599399ea11ccaa244d6403398f2833343b6442fc09e1
Homepage: https://cran.r-project.org/package=bspec
Description: CRAN Package 'bspec' (Bayesian Spectral Inference)
 Bayesian inference on the (discrete) power spectrum of time series.

Package: r-cran-bsplus
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-purrr, r-cran-lubridate, r-cran-stringr, r-cran-rmarkdown, r-cran-glue, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-shiny, r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-withr, r-cran-litedown
Filename: pool/dists/focal/main/r-cran-bsplus_0.1.5-1.ca2004.1_all.deb
Size: 99784
MD5sum: 9b69715e1e490dcb7a27fabfb4820625
SHA1: bf055173ca1c4b35805fc0df9c96845944d8dd9b
SHA256: bfc35060df1f426b272766e3b199ef3c0c40c220e9119740f84438800841368b
SHA512: 749c850099d6a916536d440d15549abd9cf3350dd53a66d98a002c914dfa1c0729c5da22d78d1f1b43217b03b4621f8d28a1a41166a8c0c40d76b2cbf20dfcc4
Homepage: https://cran.r-project.org/package=bsplus
Description: CRAN Package 'bsplus' (Adds Functionality to the R Markdown + Shiny Bootstrap Framework)
 The Bootstrap framework lets you add some JavaScript functionality to your
 web site by adding attributes to your HTML tags - Bootstrap takes care of
 the JavaScript <https://getbootstrap.com/docs/3.3/javascript/>. If you are
 using R Markdown or Shiny, you can use these functions to create collapsible
 sections, accordion panels, modals, tooltips, popovers, and an accordion
 sidebar framework (not described at Bootstrap site).  Please note this
 package was designed for Bootstrap 3.3.

Package: r-cran-bspm
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bspm_0.5.7-1.ca2004.1_all.deb
Size: 63032
MD5sum: b1eb683b17ef5bdf9be579ab0dd327bd
SHA1: 14c4e09a5d97f85977bf02b1105e38e081cc0d1e
SHA256: c3e367b1dd86930419d7526d9a07909391b5bbc6cf9873933f7d821a4f6c996d
SHA512: ce558e35156488b17ce059cd8de90ae388e83f91cdd2f48aacdc3773f45211ea0362ac52b489692b47844da54890488c4a9c568c633a7965a791f80dfe3b7564
Homepage: https://cran.r-project.org/package=bspm
Description: CRAN Package 'bspm' (Bridge to System Package Manager)
 Enables binary package installations on Linux distributions.  Provides
 functions to manage packages via the distribution's package manager. Also
 provides transparent integration with R's install.packages() and a fallback
 mechanism. When installed as a system package, interacts with the system's
 package manager without requiring administrative privileges via an
 integrated D-Bus service; otherwise, uses sudo.  Currently, the following
 backends are supported: DNF, APT, ALPM.

Package: r-cran-bspmma
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bspmma_0.1-2-1.ca2004.1_all.deb
Size: 118420
MD5sum: 9170060a37979e445e9198537e45a868
SHA1: f7bc84e78db5daad6a648783bab1e681e1ef410f
SHA256: acdf8a78d6acabc8fae06818c4fe5e666c30858546aff8cabd4c55c816f22991
SHA512: 68248450c2d65a6e715269572aae2ac6a3fc402c1834ed7e3faf9c0c664439c3490c30302fefe31950c076b47b33851e4a7f046f3576516238cbc1c9407d50c1
Homepage: https://cran.r-project.org/package=bspmma
Description: CRAN Package 'bspmma' (Bayesian Semiparametric Models for Meta-Analysis)
 The main functions carry out Gibbs' sampler routines for nonparametric and
 semiparametric Bayesian models for random effects meta-analysis.

Package: r-cran-bsreg
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 985
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-matrix
Suggests: r-cran-stochvol, r-cran-coda
Filename: pool/dists/focal/main/r-cran-bsreg_0.0.2-1.ca2004.1_all.deb
Size: 898224
MD5sum: cc5b52c2e7a0048175c9d6f60ec79b56
SHA1: 34e58585b2deda5bd2e09f48027fc67703b51852
SHA256: 41f7311504587fc79b7bfca26a1b57c99e8bd26c1027cb84a53c769503ac3d1a
SHA512: 2c64ff7f1653bf68ae0fbf41cd14e4444ee6b3707a06b7aa063db08decda52d1aff76731d934adea1fd6eac09e83fa9a710a0c6f32428f33950155f2badca141
Homepage: https://cran.r-project.org/package=bsreg
Description: CRAN Package 'bsreg' (Bayesian Spatial Regression Models)
 Fit Bayesian models with a focus on the spatial econometric models.

Package: r-cran-bss
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hypergeo, r-cran-mass, r-cran-phangorn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bss_0.1.0-1.ca2004.1_all.deb
Size: 75008
MD5sum: 919459c02866bc7bacb6b187de77ccf0
SHA1: aa6eabd98b0eb3d3d2041ebe07e55df50608cefa
SHA256: 9d7c1490ddaeeca8e0c39a27764e0109663bd5cdc18e654b3fcfd03d695f15ef
SHA512: c62265a56ebb12735033d669bcf447034a15c49f3cd8d6e9d8ea2c3691d1ca85b2532c311d92111905e2e74203c913a7def564e2d532ea0a43ee65441d3f0456
Homepage: https://cran.r-project.org/package=BSS
Description: CRAN Package 'BSS' (Brownian Semistationary Processes)
 Efficient simulation of Brownian semistationary (BSS) processes using the
 hybrid simulation scheme, as described in Bennedsen, Lunde, Pakkannen (2017)
 <arXiv:1507.03004v4>, as well as functions to fit BSS processes to data, and
 functions to estimate the stochastic volatility process of a BSS process.

Package: r-cran-bssbinom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pscl, r-cran-teachingdemos
Filename: pool/dists/focal/main/r-cran-bssbinom_1.0.0-1.ca2004.1_all.deb
Size: 21440
MD5sum: 884cd9005abcfa83d523eb43104dec93
SHA1: 593e1f83a0656153b4c6a0359770b036336f7ab5
SHA256: 4e4f1fc3504c98dade1416ac77444d544bbb9889c649922ec221c76f88b845cd
SHA512: bcda43430b715988eca752616d1ec6a9684eb00e27fbf0315e427275fa38361711412382033985478d0d69153befefb8745adac891208a1bba473f875b8693a2
Homepage: https://cran.r-project.org/package=bssbinom
Description: CRAN Package 'bssbinom' (Bayesian Sample Size for Binomial Proportions)
 Computation of the minimum sample size using the Average Coverage Criterion
 or the Average Length Criterion for estimating binomial proportions using
 beta prior distributions. For more details see Costa (2025)
 <DOI:10.1007/978-3-031-72215-8_14>.

Package: r-cran-bssn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-ssmn, r-cran-mvtnorm, r-cran-clusterr
Filename: pool/dists/focal/main/r-cran-bssn_1.0-1.ca2004.1_all.deb
Size: 130680
MD5sum: b59fc8387461f8d609e2dc8fa19c6628
SHA1: e16cf33354df5f2c3c53dad87e9c39599ac7e69a
SHA256: 0783d48c5ecb138063642215e2b342b639f8ecd3523a06b25208a549687bfd4e
SHA512: 34665e81220c5a8a76db6b46dbe24332320149bdcd8bfac7644aa7a96b9338c04c66ee1272959680ee892164f6e622a982524fac6e28229839d100e65a51be9a
Homepage: https://cran.r-project.org/package=bssn
Description: CRAN Package 'bssn' (Birnbaum-Saunders Model)
 It provides the density, distribution function, quantile function, random
 number generator, reliability function, failure rate, likelihood function,
 moments and EM algorithm for Maximum Likelihood estimators, also empirical
 quantile and generated envelope for a given sample, all this for the three
 parameter Birnbaum-Saunders model based on Skew-Normal Distribution. Also,
 it provides the random number generator for the mixture of Birnbaum-Saunders
 model based on Skew-Normal distribution. Additionally, we incorporate the EM
 algorithm based on the assumption that the error term follows a finite
 mixture of Sinh-normal distributions.

Package: r-cran-bssoverspace
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spatialbss, r-cran-expm, r-cran-rspde
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bssoverspace_0.1.0-1.ca2004.1_all.deb
Size: 28048
MD5sum: 88bde3e3541010baf2df519cb17ecec0
SHA1: ba38341551d29003c9dafb91de1d9763f8da200f
SHA256: 1b87e60cc16632d197c16c04eeda4045130e86359dc784e03a8bf09a2ae9cd43
SHA512: 3089fb6853c8b102f210ddd3dfd6102d692b84d842f00b28a6ccd1a13ff26b505b2a1af8c05b842d11dba0f44427421857797333e78b744e266c55ae0bd3deb0
Homepage: https://cran.r-project.org/package=BSSoverSpace
Description: CRAN Package 'BSSoverSpace' (Blind Source Separation for Multivariate Spatial Data usingEigen Analysis)
 Provides functions for blind source separation over multivariate spatial
 data, and useful statistics for evaluating performance of estimation on
 mixing matrix. 'BSSoverSpace' is based on an eigen analysis of a positive
 definite matrix defined in terms of multiple normalized spatial local
 covariance matrices, and thus can handle moderately high-dimensional random
 fields. This package is an implementation of the method described in Zhang,
 Hao and Yao (2022)<arXiv:2201.02023>.

Package: r-cran-bst
Architecture: all
Version: 0.3-24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3771
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpart, r-cran-foreach, r-cran-doparallel, r-cran-gbm
Suggests: r-cran-hdi, r-cran-proc, r-cran-r.rsp, r-cran-knitr, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-bst_0.3-24-1.ca2004.1_all.deb
Size: 1554752
MD5sum: bd50f94318d65b250859f8788584736c
SHA1: 775450f765a6a88b4a1237ec6faeaa46b393e24a
SHA256: ceaf71b3be586e57916b56f9edb0bf9bb9f0bd9bc65168b734ea6f180f763ee3
SHA512: 68a2526c1556888d0450426e65401cc3c5ee34621121c1aea6e6cc574f0975a79c012d478cf806f518d7f97373ca27f384748e1ddf436b616f45600a6f9b95d5
Homepage: https://cran.r-project.org/package=bst
Description: CRAN Package 'bst' (Gradient Boosting)
 Functional gradient descent algorithm for a variety of convex and non-convex
 loss functions, for both classical and robust regression and classification
 problems. See Wang (2011) <doi:10.2202/1557-4679.1304>, Wang (2012)
 <doi:10.3414/ME11-02-0020>, Wang (2018) <doi:10.1080/10618600.2018.1424635>,
 Wang (2018) <doi:10.1214/18-EJS1404>.

Package: r-cran-bstools
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-html5, r-cran-toolbox
Filename: pool/dists/focal/main/r-cran-bstools_1.0.5-1.ca2004.1_all.deb
Size: 114004
MD5sum: 97ba9d3b15140048248e9c296c2f4c65
SHA1: dd4674a2de3a5f549e395a5f7f133672b85a39e7
SHA256: 5993bde0e4e0b5804bce54aa6db3c13db487d5cefd85050b4ace601f6881f341
SHA512: 2c706c9398641aca4893a019d0a6431fc398129395fa3c57d90ec7045de9facacf6339976757a561304dda2a8775defe0430a87a8af6b4d103640334bc61e8be
Homepage: https://cran.r-project.org/package=bsTools
Description: CRAN Package 'bsTools' (Create HTML Content with Bootstrap 5 Classes and Layouts)
 Functions are pre-configured to utilize Bootstrap 5 classes and HTML
 structures to create Bootstrap-styled HTML quickly and easily. Includes
 functions for creating common Bootstrap elements such as containers, rows,
 cols, navbars, etc. Intended to be used with the html5 package. Learn more
 at <https://getbootstrap.com/>.

Package: r-cran-bstrl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-brl, r-cran-doparallel, r-cran-extradistr, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bstrl_1.0.2-1.ca2004.1_all.deb
Size: 343680
MD5sum: 8ce23f4e7ee40cca62ef3791b2ef1e42
SHA1: 19cb5ab4bce953bb1ce5d4dac3e705b264db8b3f
SHA256: 4f51235c885b36e8df28ae5bbf5857e4efee76d4c08f3ca9e8a788321a8d0472
SHA512: bdf31db7062f106cfe4008b69d00098313d7e46bb19c80d4324137feb3891222a9e83bbb0620b507f5fa02e9eb478483c6712a52ff6869105ca518b09eefcb56
Homepage: https://cran.r-project.org/package=bstrl
Description: CRAN Package 'bstrl' (Bayesian Streaming Record Linkage)
 Perform record linkage on streaming files using recursive Bayesian updating.

Package: r-cran-bstzinb
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayeslogit, r-cran-boot, r-cran-coda, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-gtsummary, r-cran-maps, r-cran-matrixcalc, r-cran-mcmcpack, r-cran-msm, r-cran-reshape, r-cran-spam, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-corrmixed, r-cran-ape, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bstzinb_2.0.0-1.ca2004.1_all.deb
Size: 385024
MD5sum: 51902f75baf4b80ecd59f4cdc5c990ae
SHA1: aa4fbca5e933767c86ae8715045b86f99bd9aaba
SHA256: 60b60b1a781b763f32cdf504390ad35992f0937bf8c18f3c71047b1976f56f71
SHA512: dedebb36bd189400bbb480d0ef7cb1f6865f79ab5cb7efae66f8921fa44eac612d4977265b207783f28ae8e82f2711026bba215eb6cdb195f49596e4fbd12a32
Homepage: https://cran.r-project.org/package=BSTZINB
Description: CRAN Package 'BSTZINB' (Association Among Disease Counts and Socio-Environmental Factors)
 Estimation of association between disease or death counts (e.g. COVID-19)
 and socio-environmental risk factors using a zero-inflated Bayesian
 spatiotemporal model. Non-spatiotemporal models and/or models without
 zero-inflation are also included for comparison. Functions to produce
 corresponding maps are also included. See Chakraborty et al. (2022)
 <doi:10.1007/s13253-022-00487-1> for more details on the method.

Package: r-cran-bsub
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-globaloptions, r-cran-getoptlong, r-cran-digest, r-cran-clisymbols, r-cran-crayon
Suggests: r-cran-knitr, r-cran-ssh, r-cran-dt, r-cran-shiny, r-cran-shinyjqui, r-cran-igraph, r-bioc-graph, r-bioc-rgraphviz, r-cran-ggplot2, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-bsub_1.1.0-1.ca2004.1_all.deb
Size: 364892
MD5sum: 4b40251e0e880cc764ffec6f556c487d
SHA1: 5dd555c98d3959e808218fea5f02bbf51b06d178
SHA256: 851a17089a3cfe5ff7d45a21ee0b8cfe06ab32ae6aa410f0966328b6f08e39e0
SHA512: 19bfa9fa5bc6debc199f065b53b6d8b1134b960091941273ccf4ee7d1eb1a5cd222959fd1a9a90a86ee7626898154ff834c7f364eff9b188cddc382377b5d4c2
Homepage: https://cran.r-project.org/package=bsub
Description: CRAN Package 'bsub' (Submitter and Monitor of the 'LSF Cluster')
 It submits R code/R scripts/shell commands to 'LSF cluster'
 (<https://en.wikipedia.org/wiki/Platform_LSF>, the 'bsub' system) without
 leaving R. There is also an interactive 'shiny' app for monitoring the job
 status.

Package: r-cran-bsw
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-matrixstats, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bsw_0.1.1-1.ca2004.1_all.deb
Size: 44772
MD5sum: 8a5ad8a881f3376e82a37219d2915016
SHA1: a5d7588d6dbc934e5ae690641d04ed22fea7589f
SHA256: 201ddb305e96985d40759cca66cca6067499b2a19d1f915d3a0e1620d21ac54f
SHA512: 5b54763d2e9ec6ee1f608efd3433f8eb1a1692bda09ef3e4efc63b7d5a8249d1b1fd850c6d5a81813f90a119387e3e2bff3db96589c8aa5daecf32cf7ab56bdd
Homepage: https://cran.r-project.org/package=BSW
Description: CRAN Package 'BSW' (Fitting a Log-Binomial Model using the Bekhit-Schöpe-Wagenpfeil(BSW) Algorithm)
 Implements a modified Newton-type algorithm (BSW algorithm) for solving the
 maximum likelihood estimation problem in fitting a log-binomial model under
 linear inequality constraints.

Package: r-cran-bt
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 698
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpart, r-cran-statmod
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bt_0.4-1.ca2004.1_all.deb
Size: 574440
MD5sum: 92b8ac4f33e851fb9fd40e410e53ef89
SHA1: a947122090809a02c07516e1b592317d07c0b079
SHA256: 558d4e762a79c509eb6492753914b3c6282d81055410bad2a035c8310be54b28
SHA512: 7ec14067b0730654916e43ea63755a10d655158a868c8d95c050a56da485eac7817ac5e900d60ed39dbde3713afaeef0af444980006625082aab149944adbbbf
Homepage: https://cran.r-project.org/package=BT
Description: CRAN Package 'BT' ((Adaptive) Boosting Trees Algorithm)
 Performs (Adaptive) Boosting Trees for Poisson distributed response
 variables, using log-link function.  The code approach is similar to the one
 used in 'gbm'/'gbm3'. Moreover, each tree in the expansion is built thanks
 to the 'rpart' package.  This package is based on following books and
 articles Denuit, M., Hainaut, D., Trufin, J. (2019)
 <doi:10.1007/978-3-030-25820-7> Denuit, M., Hainaut, D., Trufin, J. (2019)
 <doi:10.1007/978-3-030-57556-4> Denuit, M., Hainaut, D., Trufin, J. (2019)
 <doi:10.1007/978-3-030-25827-6> Denuit, M., Hainaut, D., Trufin, J. (2022)
 <doi:10.1080/03461238.2022.2037016> Denuit, M., Huyghe, J., Trufin, J.
 (2022)
 <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A244325/datastream/PDF_01/view>
 Denuit, M., Trufin, J., Verdebout, T. (2022)
 <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A268577>.

Package: r-cran-btdecaylasso
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-optimx, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-btdecaylasso_0.1.1-1.ca2004.1_all.deb
Size: 96680
MD5sum: 191e597eee4154401f06c9b29d396662
SHA1: b1b7c51283be65ab8d318522e8effd543cc29df9
SHA256: e4e61596239c23af9bb051da3f3417fef6b119e37935d5fbf4776aca16b69b4c
SHA512: 1a12bdeb0e0072f0bdf647cef3297bf635555dc87d7053dbfbad11b1281684b5506d748ef9e0e8d6d551d570497dbd2a8724b600c8f19ab5012c7057a5863536
Homepage: https://cran.r-project.org/package=BTdecayLasso
Description: CRAN Package 'BTdecayLasso' (Bradley-Terry Model with Exponential Time Decayed Log-Likelihoodand Adaptive Lasso)
 We utilize the Bradley-Terry Model to estimate the abilities of teams using
 paired comparison data. For dynamic approximation of current rankings, we
 employ the Exponential Decayed Log-likelihood function, and we also apply
 the Lasso penalty for variance reduction and grouping. The main algorithm
 applies the Augmented Lagrangian Method described by Masarotto and Varin
 (2012) <doi:10.1214/12-AOAS581>.

Package: r-cran-btergm
Architecture: all
Version: 1.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 996
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-network, r-cran-sna, r-cran-ergm, r-cran-matrix, r-cran-boot, r-cran-coda, r-cran-rocr, r-cran-igraph, r-cran-statnet.common
Suggests: r-cran-fastglm, r-cran-speedglm, r-cran-testthat, r-cran-bergm, r-cran-rsiena, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-btergm_1.11.1-1.ca2004.1_all.deb
Size: 875424
MD5sum: 27c674847fdc84b6d6575c0d21f0a66e
SHA1: 86821539d00e6f3460c38d5a6624aa3479d3c7b7
SHA256: 88b12a88e2935fcfe5eefac7c2b92dd8852e7e98a72fee872b56342b0cf87aac
SHA512: 7780d82c800f8bf57954be3293e81caf00a93252f36d7174e0713d4400b22fb3df60877f5f6d7db0fcdd33835ac517b96bff496fb23d93dd09f2826d1241a282
Homepage: https://cran.r-project.org/package=btergm
Description: CRAN Package 'btergm' (Temporal Exponential Random Graph Models by BootstrappedPseudolikelihood)
 Temporal Exponential Random Graph Models (TERGM) estimated by maximum
 pseudolikelihood with bootstrapped confidence intervals or Markov Chain
 Monte Carlo maximum likelihood. Goodness of fit assessment for ERGMs,
 TERGMs, and SAOMs. Micro-level interpretation of ERGMs and TERGMs. The
 methods are described in Leifeld, Cranmer and Desmarais (2018), JStatSoft
 <doi:10.18637/jss.v083.i06>.

Package: r-cran-btml
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-randomforest, r-cran-e1071, r-cran-proc
Filename: pool/dists/focal/main/r-cran-btml_0.1.0-1.ca2004.1_all.deb
Size: 74288
MD5sum: bcede038c65a9a093aff2c192eb773b1
SHA1: dde1bb7afb889e0c3f6f5d8b27547da2e9999207
SHA256: bc62e441663e9a2f546f132e6ae0d1b92abb6c9f73f5e955b22815f253626f22
SHA512: dbfd2a6bafc8f68a60d0b95b0f3ff1408da82814128b7b2227dff35c43a2741e7af7af1067fd32d2f8c21cee46733a00f2e96c813f9eabbdb66c4f862d2dd6be
Homepage: https://cran.r-project.org/package=btml
Description: CRAN Package 'btml' (Bayesian Treed Machine Learning for Personalized Prediction andPrecision Diagnostics)
 Generalization of the Bayesian classification and regression tree (CART)
 model that partitions subjects into terminal nodes and tailors machine
 learning model to each terminal node.

Package: r-cran-btrm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-proc, r-cran-arm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-btrm_0.2.0-1.ca2004.1_all.deb
Size: 64004
MD5sum: 8b4cfc1ab1f5710a67ce55f31d8268de
SHA1: 17a80a578e2500eeabbde103ef10144e4979c320
SHA256: 418fb708b682c8a81aca640c26e73ec8edcae85002f6e94f22933d551895177a
SHA512: 619861a1a54bedbc693d25cc1104de2266ec35c7f926e42360b448bad7479430d6a14103036bd39bfa69c512c4ef6f2ebef088447e960420be252ea224d36ee0
Homepage: https://cran.r-project.org/package=btrm
Description: CRAN Package 'btrm' (Bayesian Treed Regression Model for Personalized Prediction andPrecision Diagnostics)
 Generalization of the Bayesian classification and regression tree (CART)
 model that partitions subjects into terminal nodes and tailors regression
 model to each terminal node.

Package: r-cran-btspas
Architecture: all
Version: 2024.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5326
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-actuar, r-cran-coda, r-cran-data.table, r-cran-ggplot2, r-cran-ggforce, r-cran-gridextra, r-cran-plyr, r-cran-reshape2, r-cran-r2jags, r-cran-scales
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-btspas_2024.11.1-1.ca2004.1_all.deb
Size: 3407680
MD5sum: 71f91ff25185c197ce9a6729a4f5e6f1
SHA1: ce38376ec8bff55cd71dd1b0e58736a9e2634c4d
SHA256: ff306f9778777f95253f63f66d5c043874877a2c3baefe0b4a0e0076694d7dda
SHA512: 37d2f0718623c9b09094081c886295dc7b82094c8c024ae9f3b680d7e053e3a491b70156c40b095e762c177b77b8ae698589131ef768e2d7ce5b7bf33e7089ae
Homepage: https://cran.r-project.org/package=BTSPAS
Description: CRAN Package 'BTSPAS' (Bayesian Time-Stratified Population Analysis)
 Provides advanced Bayesian methods to estimate abundance and run-timing from
 temporally-stratified Petersen mark-recapture experiments. Methods include
 hierarchical modelling of the capture probabilities and spline smoothing of
 the daily run size. Theory described in Bonner and Schwarz (2011)
 <doi:10.1111/j.1541-0420.2011.01599.x>.

Package: r-cran-bttl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bttl_1.0.0-1.ca2004.1_all.deb
Size: 36640
MD5sum: 5f75a02549ea356344df910d3ceebbc3
SHA1: 02304edcccd3fb73e3a7def60279d015f6bbbd80
SHA256: ee2fc57eb8709a03eb279f5e3aedf76e420b70962ddaf6ee7a86da35d45bd6ea
SHA512: b7b1a87b5da0ef55861b617dc80aa63e00c8a6a04b795daa1dcfa8dd686360c37427a5340f471aecdfe81ad1d1aac0a7160bf1c6221b8211b411750f06c2a2cd
Homepage: https://cran.r-project.org/package=BTTL
Description: CRAN Package 'BTTL' (Bradley-Terry Transfer Learning)
 Implements the methodological developments found in Hermes, van Heerwaarden,
 and Behrouzi (2024) <doi:10.48550/arXiv.2408.10558>, and allows for the
 statistical modeling of multi-attribute pairwise comparison data.

Package: r-cran-btyd
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3330
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hypergeo, r-cran-optimx, r-cran-dplyr, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-btyd_2.4.3-1.ca2004.1_all.deb
Size: 1048780
MD5sum: fe0f6f1ac0b03d5bdc60d360540caf69
SHA1: 12a68e7025b8c7604044921c4ebcd7075a64a71c
SHA256: 250ab2f7c9db0db074660036122dbfe7e8887ce0fbe5fdcca1603aade93b37b2
SHA512: 4d62b7c2757ec19c0f8bdc6188e40fe5b7926ce25349674768ca3f39546fdf7e0fd077361bed9dd5cf3cd1055988413431f74adccc7c1162170abdc79ca7d663
Homepage: https://cran.r-project.org/package=BTYD
Description: CRAN Package 'BTYD' (Implementing BTYD Models with the Log Sum Exp Patch)
 Functions for data preparation, parameter estimation, scoring, and plotting
 for the BG/BB (Fader, Hardie, and Shang 2010 <doi:10.1287/mksc.1100.0580>),
 BG/NBD (Fader, Hardie, and Lee 2005 <doi:10.1287/mksc.1040.0098>) and
 Pareto/NBD and Gamma/Gamma (Fader, Hardie, and Lee 2005
 <doi:10.1509/jmkr.2005.42.4.415>) models.

Package: r-cran-bubbleheatmap
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reshape
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-bubbleheatmap_0.1.1-1.ca2004.1_all.deb
Size: 261728
MD5sum: 10fc5023a92f687015c3ba506b9a86d7
SHA1: 6601eb4b2577341ef35a57d1561b939520c069cc
SHA256: 98a12a7a376f6385b4f4d3a8120a40d07e30a82b8c536f420c7a071735c85f75
SHA512: 51d2f05606d005307041ee691e7a535bddcdf99bfc6c958bf0d0919f323ac1c6356ebf671e71786bb5d0e65ad2658ad4f36d7ad87ef729d1ccf7c82745583946
Homepage: https://cran.r-project.org/package=bubbleHeatmap
Description: CRAN Package 'bubbleHeatmap' (Produces 'bubbleHeatmap' Plots for Visualising Metabolomics Data)
 Plotting package based on the grid system, combining elements of a bubble
 plot and heatmap to conveniently display two numerical variables,
 (represented by color and size) grouped by categorical variables on the x
 and y axes. This is a useful alternative to a forest plot when the data can
 be grouped in two dimensions, such as predictors x outcomes. It has
 particular advantages for visualising the metabolic measures produced by the
 'Nightingale Health' metabolomics platform, and templates are included for
 automatically generating figures from these datasets.

Package: r-cran-bubblyr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2852
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bubblyr_0.1.2-1.ca2004.1_all.deb
Size: 2100120
MD5sum: 931d3b0478e81c596b5eadcf58ca61ea
SHA1: 25b9303991b0ab420395115595a1350f85b92d6e
SHA256: 17c92dc7121c81bed843e1b3d9c7fec57f9dc045579b5af1e17ea10a21d369a7
SHA512: eb4b6009da1c5c755902354fb4393e3615ef49ddcb4699d3f140caaa4219957abe3dece0bb253163dedaa359d0d3123d7dc03f2cf05b2920ed7424a236e94bcb
Homepage: https://cran.r-project.org/package=bubblyr
Description: CRAN Package 'bubblyr' (Beautiful Bubbles for 'shiny' and 'rmarkdown' Backgrounds)
 Creates bubbles within 'shiny' and 'rmarkdown' backgrounds using the
 'bubbly-bg' 'JavaScript' library.

Package: r-cran-bucky
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-lmtest
Suggests: r-cran-mass, r-cran-amelia, r-cran-mice
Filename: pool/dists/focal/main/r-cran-bucky_1.0.7-1.ca2004.1_all.deb
Size: 76316
MD5sum: da874f52eba6e2f38b84997576a76331
SHA1: 1cf3b7fffe403376d5234b60cd8f3fa8b0d7b69d
SHA256: 2cce8d40b64a36cf76f77aadde305d489f8e969b6172cc0d86e3b20adfc427d3
SHA512: eb76f7cfc1690bcd7b6aec1a69b6adf6b079c355c8366357362374ab0cfaf2b01ee0dd271d732c8ddbace668202a3d6be0eee306a565ecc5094bec0d0b4ed626
Homepage: https://cran.r-project.org/package=bucky
Description: CRAN Package 'bucky' (Bucky's Archive for Data Analysis in the Social Sciences)
 Provides functions for various statistical techniques commonly used in the
 social sciences, including functions to compute clustered robust standard
 errors, combine results across multiply-imputed data sets, and simplify the
 addition of robust and clustered robust standard errors.

Package: r-cran-bucss
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bucss_1.2.1-1.ca2004.1_all.deb
Size: 137636
MD5sum: d86433400353df1713cae82185e53bb4
SHA1: c6ee1d1e0a948c269ea50e991bcbcebaa2248703
SHA256: 0e53c0aa1e8a6eb5e681cc947695a2ae025ea59e7a4a2d08cdbdb60d17e2cf2c
SHA512: 345917bfb26ec797bebd2392bc6d409bae16e2995ee1350891f3915888894e77f313a3dd0ef6d0481f5fdd8edbd064db6b139af8c50e22eee4f89b40156ad1a3
Homepage: https://cran.r-project.org/package=BUCSS
Description: CRAN Package 'BUCSS' (Bias and Uncertainty Corrected Sample Size)
 Bias- and Uncertainty-Corrected Sample Size. BUCSS implements a method of
 correcting for publication bias and uncertainty when planning sample sizes
 in a future study from an original study. See Anderson, Kelley, & Maxwell
 (2017; Psychological Science, 28, 1547-1562).

Package: r-cran-budgetivr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-arrangements, r-cran-mass, r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-budgetivr_0.1.2-1.ca2004.1_all.deb
Size: 116092
MD5sum: 4a613bed6cfaea69b9f3a5d9cf6fc1af
SHA1: fba57ad1043d21b820c5630702554c57812817c3
SHA256: 9e06d9dd614a1dc2bc44c14d82cbcb45ae4167fbe1b62efadabae16edc6089d6
SHA512: 27e8531e7a096cd936d32367b09c15aa8c2b8e50a90f930b903bf307841f6ccb41edf48c92fa1d0694a4f3780ad2d3bbba1b90f48f1386d9afd75b594c9ef3d1
Homepage: https://cran.r-project.org/package=budgetIVr
Description: CRAN Package 'budgetIVr' (Partial Identification of Causal Effects with Mostly InvalidInstruments)
 A tuneable and interpretable method for relaxing the instrumental variables
 (IV) assumptions to infer treatment effects in the presence of unobserved
 confounding.  For a treatment-associated covariate to be a valid IV, it must
 be (a) unconfounded with the outcome and (b) have a causal effect on the
 outcome that is exclusively mediated by the exposure.  There is no general
 test of the validity of these IV assumptions for any particular
 pre-treatment covariate.  However, if different pre-treatment covariates
 give differing causal effect estimates when treated as IVs, then we know at
 least some of the covariates violate these assumptions.  'budgetIVr'
 exploits this fact by taking as input a minimum budget of pre-treatment
 covariates assumed to be valid IVs and idenfiying the set of causal effects
 that are consistent with the user's data and budget assumption.  The
 following generalizations of this principle can be used in this package: (1)
 a vector of multiple budgets can be assigned alongside corresponding
 thresholds that model degrees of IV invalidity; (2) budgets and thresholds
 can be chosen using specialist knowledge or varied in a principled
 sensitivity analysis; (3) treatment effects can be nonlinear and/or depend
 on multiple exposures (at a computational cost).  The methods in this
 package require only summary statistics.  Confidence sets are constructed
 under the "no measurement error" (NOME) assumption from the Mendelian
 randomization literature.  For further methodological details, please refer
 to Penn et al. (2024) <doi:10.48550/arXiv.2411.06913>.

Package: r-cran-buffers
Architecture: all
Version: 0.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf
Suggests: r-cran-openair, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-buffers_0.31-1.ca2004.1_all.deb
Size: 93040
MD5sum: 619551e1233b28504243bec74bbace10
SHA1: a93d077bef613f80fc4b6152c65902e12073a6ed
SHA256: 62c342e874680be721b3c45acb68d289ee6c708bbf1879c4d1942b2a03c1234b
SHA512: e6cbee97cf39894a00374d05b1f57a7c885ed323ee04375e8d73e165bb309ca6f9c0e2ff8e89dea6bb3f468ba8fb53e8c430646600153475fcae7d1ac6ad4a58
Homepage: https://cran.r-project.org/package=buffeRs
Description: CRAN Package 'buffeRs' (Buffer Generation for Spatial Models)
 Generates non-circular simple feature geometries e.g. for the use as buffers
 in model-building.

Package: r-cran-buildmer
Architecture: all
Version: 2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1422
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lme4, r-cran-mgcv, r-cran-nlme, r-cran-reformulas
Suggests: r-cran-glmmadaptive, r-cran-mass, r-cran-gamm4, r-cran-glmertree, r-cran-glmmtmb, r-cran-knitr, r-cran-lmertest, r-cran-nnet, r-cran-ordinal, r-cran-partykit, r-cran-pbkrtest, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-buildmer_2.12-1.ca2004.1_all.deb
Size: 862648
MD5sum: 947172d3c285d4a91f33f2bb078e4299
SHA1: eddc96cd1e48b3fba69d756cdccd203325dd146c
SHA256: c2beae3ef418a87606c43a56bf68018748ad254905ee6b3b3798d9f1b52dc92a
SHA512: 05cbb83d6c783c280df1dc79cf3a49bb01f6d2dc37c00e0b35295155a5137f9639f74dc1c6f628d975fd3459508ffe6278ebac3a2294e8ee408c4768b71c5d1a
Homepage: https://cran.r-project.org/package=buildmer
Description: CRAN Package 'buildmer' (Stepwise Elimination and Term Reordering for Mixed-EffectsRegression)
 Finds the largest possible regression model that will still converge for
 various types of regression analyses (including mixed models and generalized
 additive models) and then optionally performs stepwise elimination similar
 to the forward and backward effect-selection methods in SAS, based on the
 change in log-likelihood or its significance, Akaike's Information
 Criterion, the Bayesian Information Criterion, the explained deviance, or
 the F-test of the change in R².

Package: r-cran-buildr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rstudioapi, r-cran-usethis, r-cran-readr, r-cran-glue, r-cran-stringr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-spelling, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-buildr_0.1.1-1.ca2004.1_all.deb
Size: 140816
MD5sum: 90e8bb31caf0ff3aa8640782c1fbd388
SHA1: 3e30802a7f5d8e29272b8ce6211832c0711e0847
SHA256: c1618c3b31200460d967ca8cb81e51e44c3c6f1a4e8d564d7154eb8232cc3d98
SHA512: 9f3b4b31fa5ff39f6c64ca49fd6b1eb1e0d5a16fd6cd88692e4f700dda9411ddaa3251fdbca3191ad12f8bb6d640d39f5af7eff478d2711e8d3a213800e89d02
Homepage: https://cran.r-project.org/package=buildr
Description: CRAN Package 'buildr' (Organize & Run Build Scripts Comfortably)
 Working with reproducible reports or any other similar projects often
 require to run the script that builds the output file in a specified way.
 'buildr' can help you organize, modify and comfortably run those scripts.
 The package provides a set of functions that interactively guides you
 through the process and that are available as 'RStudio' Addin, meaning you
 can set up the keyboard shortcuts, enabling you to choose and run the
 desired build script with one keystroke anywhere anytime.

Package: r-cran-buildsys
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Filename: pool/dists/focal/main/r-cran-buildsys_1.1.2-1.ca2004.1_all.deb
Size: 209852
MD5sum: c6526de3dd5e47b4c7c9f1bfe989f185
SHA1: 78a63b5cd733c893ab893f973c199ef9e3782470
SHA256: e3f157a9d0fee8b2c014b507a9802e77aeabf499e2d8009d7c83c1a3d51378bf
SHA512: 884b26a2372bf6a96cf8b2f2f38e4d57fe7a24164f8193334fc0295e1e261de29c13a52aa97da630a0fb204744fe82481a3201a8b00e6a656a63ca25eaf95e56
Homepage: https://cran.r-project.org/package=BuildSys
Description: CRAN Package 'BuildSys' (System for Building and Debugging C/C++ Dynamic Libraries)
 A build system based on 'GNU make' that creates and maintains (simply) make
 files in an R session and provides GUI debugging support through 'Microsoft
 Visual Code'.

Package: r-cran-bujar
Architecture: all
Version: 0.2-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2900
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mda, r-cran-mpath, r-cran-mboost, r-cran-gbm, r-cran-earth, r-cran-elasticnet, r-cran-rms, r-cran-modeltools, r-cran-bst, r-cran-survival
Suggests: r-cran-th.data, r-cran-r.rsp, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-bujar_0.2-11-1.ca2004.1_all.deb
Size: 2798740
MD5sum: 598a6e2c831dcc596ecbaab85eb910a2
SHA1: 1e33309c8d18e8c28ebdd4835a23a26d119db837
SHA256: 97124259d75c3e460113f458e03103175c4308b2139bdd423b3c73851d5143fd
SHA512: 6e69584f889ccd9cd04680a5e555f84270b5a0991304799704d5ef73370eebde3b0f2be9182d7dff1e3245e08f6c8ffa0b9de9635fdf15c3f023107b2caef9b3
Homepage: https://cran.r-project.org/package=bujar
Description: CRAN Package 'bujar' (Buckley-James Regression for Survival Data with High-DimensionalCovariates)
 Buckley-James regression for right-censoring survival data with
 high-dimensional covariates. Implementations for survival data include
 boosting with componentwise linear least squares, componentwise smoothing
 splines, regression trees and MARS. Other high-dimensional tools include
 penalized regression for survival data. See Wang and Wang (2010)
 <doi:10.2202/1544-6115.1550>.

Package: r-cran-bulkanalyser
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6234
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-gprofiler2, r-bioc-edger, r-bioc-deseq2, r-cran-ggrepel, r-cran-rcolorbrewer, r-bioc-complexheatmap, r-cran-circlize, r-cran-shinywidgets, r-cran-shinyjqui, r-cran-dplyr, r-cran-magrittr, r-cran-ggforce, r-cran-rlang, r-cran-glue, r-bioc-preprocesscore, r-cran-matrixstats, r-cran-noisyr, r-cran-tibble, r-cran-ggnewscale, r-cran-ggrastr, r-bioc-genie3, r-cran-visnetwork, r-cran-dt, r-cran-scales, r-cran-shinyjs, r-cran-tidyr, r-cran-shinylp, r-cran-upsetr, r-cran-stringr, r-cran-ggvenndiagram
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-shinythemes, r-cran-biocmanager, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-cran-readxl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bulkanalyser_1.1.0-1.ca2004.1_all.deb
Size: 2760916
MD5sum: 55ce7d5139b7016cff5892246f22f6a8
SHA1: 1f59e3d342cde9aafc67bf2cdb03205becdc496f
SHA256: 34d7e4dd63222a58129dda3f672ff6762521119619e9bd3f61aea4fbefe6fe96
SHA512: b945c9f9f00cd8d68aca409d05876eee28c6119cf14156478f38061d9f2a4dc6dc6e3ff9b70ec1b4bf9d4761c18b5b665be9a219ca5e4177e25ec8c9bbc82af5
Homepage: https://cran.r-project.org/package=bulkAnalyseR
Description: CRAN Package 'bulkAnalyseR' (Interactive Shiny App for Bulk Sequencing Data)
 Given an expression matrix from a bulk sequencing experiment, pre-processes
 it and creates a shiny app for interactive data analysis and visualisation.
 The app contains quality checks, differential expression analysis, volcano
 and cross plots, enrichment analysis and gene regulatory network inference,
 and can be customised to contain more panels by the user.

Package: r-cran-bulkqc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-isotree, r-cran-stddiff
Filename: pool/dists/focal/main/r-cran-bulkqc_1.1-1.ca2004.1_all.deb
Size: 35056
MD5sum: 1d3101d252eb637d5317f96f93f27e7f
SHA1: fadbf8ac2bd4251cefbe5f5e69ee7f8297bba3e8
SHA256: d61514420f8e07afcc745de35ff6ed354d138426a64e7c58e9344102687e31d6
SHA512: f158314ca2ffa0abe99a0e47eeb730655700af2504bc74ac0d44914bb36bd2d120cf9066465faa58f64fd7ccae9ae30723ab6f56ab873b2b0738d1b5ba92a0a4
Homepage: https://cran.r-project.org/package=bulkQC
Description: CRAN Package 'bulkQC' (Quality Control and Outlier Identification in Bulk forMulticenter Trials)
 Multicenter randomized trials involve the collection and analysis of data
 from numerous study participants across multiple sites. Outliers may be
 present. To identify outliers, this package examines data at the individual
 level (univariate and multivariate) and site-level (with and without
 covariate adjustment). Methods are outlined in further detail in Rigdon et
 al (to appear).

Package: r-cran-bulkreadr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-googlesheets4, r-cran-haven, r-cran-inspectdf, r-cran-labelled, r-cran-lubridate, r-cran-magrittr, r-cran-openxlsx, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-sjlabelled, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bulkreadr_1.2.0-1.ca2004.1_all.deb
Size: 393100
MD5sum: 0b0074b6b834021a41e1b688e18fac42
SHA1: 6e4d564e6b30114bbcd4c457dd3004df361ab842
SHA256: 59dda5a5f9899b57019d6a794d4545a0f8d404204e4558bafaa98ffebd019dab
SHA512: eab8940e28cd575f9ccf60689cc0b97d9fd2146b8d5a2411bf96bd0f485293cd6cc96adda9b81ddd1777b2d16cb8d83acac5d46c9c4867c0c25f7f0d4fab2f82
Homepage: https://cran.r-project.org/package=bulkreadr
Description: CRAN Package 'bulkreadr' (The Ultimate Tool for Reading Data in Bulk)
 Designed to simplify and streamline the process of reading and processing
 large volumes of data in R, this package offers a collection of functions
 tailored for bulk data operations. It enables users to efficiently read
 multiple sheets from Microsoft Excel and Google Sheets workbooks, as well as
 various CSV files from a directory. The data is returned as organized data
 frames, facilitating further analysis and manipulation. Ideal for handling
 extensive data sets or batch processing tasks, bulkreadr empowers users to
 manage data in bulk effortlessly, saving time and effort in data preparation
 workflows. Additionally, the package seamlessly works with labelled data
 from SPSS and Stata.

Package: r-cran-bulletcp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-dplyr, r-cran-assertthat, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bulletcp_1.0.0-1.ca2004.1_all.deb
Size: 447004
MD5sum: 40729b9ff41d8da11fecea6dc899feba
SHA1: 831727a6b97063515b4eb71e0f93e22caec45d5c
SHA256: 57ed75ccdb5393a31f24f19b1c6d75a3e23b1a78d55d739b8e40c707de74f409
SHA512: ea68df409168c287f82664e747a5a4454ad294d823641d649fe0a77aa71b64e4cb7c71783dbf61f94fe5e0f1e77c3b7970ba2586e1afff6c817790ae44ba32c4
Homepage: https://cran.r-project.org/package=bulletcp
Description: CRAN Package 'bulletcp' (Automatic Groove Identification via Bayesian ChangepointDetection)
 Provides functionality to automatically detect groove locations via a
 Bayesian changepoint detection method to be used in the data preprocessing
 step of forensic bullet matching algorithms. The methods in this package are
 based on those in Stephens (1994) <doi:10.2307/2986119>. Bayesian
 changepoint detection will simply be an option in the function from the
 package 'bulletxtrctr' which identifies the groove locations.

Package: r-cran-bulletr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4703
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-zoo, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-reshape2, r-cran-plotly, r-cran-robustbase, r-cran-smoother
Filename: pool/dists/focal/main/r-cran-bulletr_0.1-1.ca2004.1_all.deb
Size: 4775424
MD5sum: be220155c093e80e2bbfb0fd9e7dce4f
SHA1: f476869ff70a1fb51cc01b01ac2860ddf7081f44
SHA256: 8ce1cd895abdb0210855b2eea881384e70c601dff10e8d666d27fb99190bac5f
SHA512: 19b66795f69997efbc7cc6e2345204b08afde5f36a86175702c79b777638752b124a09327335f3a94046354bb4638fbb582fbf15ee63e825c4fbb07c8673fd2b
Homepage: https://cran.r-project.org/package=bulletr
Description: CRAN Package 'bulletr' (Algorithms for Matching Bullet Lands)
 Analyze bullet lands using nonparametric methods. We provide a reading
 routine for x3p files (see <http://www.openfmc.org> for more information)
 and a host of analysis functions designed to assess the probability that two
 bullets were fired from the same gun barrel.

Package: r-cran-bullishtrader
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bullishtrader_1.0.1-1.ca2004.1_all.deb
Size: 123600
MD5sum: e8c1b4681d259689e258eeb569f47189
SHA1: c273a8a0375602092ce5ba7350ba5cb6225739e9
SHA256: 92051cdb85a988f7b05576d7d22370619b036d2c160742efe095cbf62913da60
SHA512: 86b7793dc4f880329914d3bb04311f488533703995d54ec20ff383f010560193913ec13b9d7ffdf37c975919c6e0cc3d2bc0d5b19124cb92c52fe10cb219089e
Homepage: https://cran.r-project.org/package=bullishTrader
Description: CRAN Package 'bullishTrader' (Bullish Trading Strategies Through Graphs)
 Stock, Options and Futures Trading Strategies for Traders and Investors with
 Bullish Outlook are represented here through their Graphs. The graphic
 indicators, strategies, calculations, functions and all the discussions are
 for academic, research, and educational purposes only and should not be
 construed as investment advice and come with absolutely no Liability.  Guy
 Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015, ISBN:
 9780133964028).  Zura Kakushadze, Juan A. Serur (“151 Trading Strategies”,
 2018, ISBN: 9783030027919).  John C. Hull (“Options, Futures, and Other
 Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).

Package: r-cran-bullseye
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3582
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-cli, r-cran-rlang, r-cran-ggplot2, r-cran-labeling, r-cran-ggiraph, r-cran-dendser, r-cran-tidyr, r-cran-polycor, r-cran-colorspace
Suggests: r-cran-desctools, r-cran-acepack, r-cran-energy, r-cran-linkspotter, r-cran-minerva, r-cran-scagnostics, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-correlation, r-cran-palmerpenguins, r-cran-kableextra, r-cran-openintro, r-cran-corrplot
Filename: pool/dists/focal/main/r-cran-bullseye_1.0.0-1.ca2004.1_all.deb
Size: 916064
MD5sum: 4f3c1319196aebabc7c7a12c67270fd5
SHA1: eb06ae57f4a26657d87e4b72251f6ad0b84acbfc
SHA256: 0a612927890ccd26ad818d7b7c9482cd6c3e107eacf1206f8bf4119387068e89
SHA512: 754e1f71465723064039b443a28ffc2577b829383bad3fa658adf12494d95e3ab78605ca71e19278797f72463215ea16f738547c5fcef2377fc84be736c672ba
Homepage: https://cran.r-project.org/package=bullseye
Description: CRAN Package 'bullseye' (Visualising Multiple Pairwise Variable Correlations and OtherScores)
 We provide a tidy data structure and visualisations for multiple or grouped
 variable correlations, general association measures scagnostics and other
 pairwise scores suitable for numerical, ordinal and nominal variables.
 Supported measures include distance correlation, maximal information, ace
 correlation, Kendall's tau, and polychoric correlation.

Package: r-cran-bullseyer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tm, r-cran-nlp, r-cran-topicmodels, r-cran-matrix, r-cran-slam
Filename: pool/dists/focal/main/r-cran-bullseyer_0.2.0-1.ca2004.1_all.deb
Size: 42732
MD5sum: 87807ab9fe5bcb2fe6024305a5a1fc72
SHA1: 8f473e28432d81d5b10aa88cea80dffab039f44e
SHA256: 35a5d3d0f412d65d320da84766eef61d9e66d71788086ba1b0cc0e54a0b23db5
SHA512: 6dd8d44ca79d4bd2f4ec928b8443bc3a7d7a984716a1e3a964d0dcb027af31c450b12fa79bd9d34e554c27dfd1f77307696e434e9737879d146fd09e85e5d967
Homepage: https://cran.r-project.org/package=BullsEyeR
Description: CRAN Package 'BullsEyeR' (Topic Modelling)
 Helps in initial processing like converting text to lower case, removing
 punctuation, numbers, stop words, stemming, sparsity control and term
 frequency inverse document frequency processing. Helps in recognizing domain
 or corpus specific stop words. Makes use of 'ldatunig' output to pick
 optimal number of topics for topic modelling. Helps in topic modelling the
 content.

Package: r-cran-bullwhipgame
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-bullwhipgame_0.1.0-1.ca2004.1_all.deb
Size: 72748
MD5sum: 8cc1a5d8112f94fc2371bec9496c5ffe
SHA1: 4e2fcee05f6414950a9ef77cc5cb4235fe3856de
SHA256: b24bdc43eff67870000f3cf45bb224041a0510726a8be353847b953b580e8f14
SHA512: 1fb4f5045cc5ded1678ae118abbfd4df2af69adc0a71ac5d06702666b6ad70126f75fdc434e3a40c9c015fc305f8a32f77d44a5be8d907c747d7edbf85d20afe
Homepage: https://cran.r-project.org/package=bullwhipgame
Description: CRAN Package 'bullwhipgame' (Bullwhip Effect Demo in Shiny)
 The bullwhipgame is an educational game that has as purpose the illustration
 and exploration of the bullwhip effect,i.e, the increase in demand
 variability along the supply chain. Marchena Marlene (2010)
 <arXiv:1009.3977>.

Package: r-cran-bumbl
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-purrr, r-cran-broom, r-cran-glue, r-cran-mass, r-cran-ggplot2, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-car, r-cran-rsq
Filename: pool/dists/focal/main/r-cran-bumbl_1.0.3-1.ca2004.1_all.deb
Size: 252544
MD5sum: 3ac5f61ff08afcf5e7ba6cdc470de5aa
SHA1: 2b36e1c2cc2cf9550e32f8e0609b20a5cf41cce3
SHA256: 4a64afeededdd38c03474e569b3352f5a8bfb44801d0a19c8bdd96d614d8cbd9
SHA512: ced8bae343e736f098631f38c0e9c5083acb11200381175e0fbd3965fb1fe3f4b6c3a99a998f6e44106a3d9eca786b9f05d52b69040e5b7fe9dee50a1b2093ef
Homepage: https://cran.r-project.org/package=bumbl
Description: CRAN Package 'bumbl' (Tools for Modeling Bumblebee Colony Growth and Decline)
 Bumblebee colonies grow during worker production, then decline after
 switching to production of reproductive individuals (drones and gynes).
 This package provides tools for modeling and visualizing this pattern by
 identifying a switchpoint with a growth rate before and a decline rate after
 the switchpoint. The mathematical models fit by bumbl are described in Crone
 and Williams (2016) <doi:10.1111/ele.12581>.

Package: r-cran-bumblebee
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-gtools, r-cran-hmisc, r-cran-magrittr, r-cran-rmarkdown
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-bumblebee_0.1.0-1.ca2004.1_all.deb
Size: 265080
MD5sum: 1186c0b986a2a7223db48e9d1de0bc05
SHA1: d08c153321f3140260c11dde1ea7f228f4487511
SHA256: 822ff696f06fcb620f838c199ef8c7f944535b8126fd7dee7114e61fc3f10f64
SHA512: 475d164950b4f6e1f1702a4303d12906a18e4ac0e94b55245a43eef665293a79e3fa8fbe81959237e092b59583ce75e46d6b439a2a5bd4124d5b19311578e201
Homepage: https://cran.r-project.org/package=bumblebee
Description: CRAN Package 'bumblebee' (Quantify Disease Transmission Within and Between PopulationGroups)
 A simple tool to quantify the amount of transmission of an infectious
 disease of interest occurring within and between population groups.
 'bumblebee' uses counts of observed directed transmission pairs, identified
 phylogenetically from deep-sequence data or from epidemiological contacts,
 to quantify transmission flows within and between population groups
 accounting for sampling heterogeneity. Population groups might include:
 geographical areas (e.g. communities, regions), demographic groups (e.g.
 age, gender) or arms of a randomized clinical trial. See the 'bumblebee'
 website for statistical theory, documentation and examples
 <https://magosil86.github.io/bumblebee/>.

Package: r-cran-bunching
Architecture: all
Version: 0.8.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bb, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bunching_0.8.6-1.ca2004.1_all.deb
Size: 518436
MD5sum: 6975ecc2cde111eacfc541890127b68b
SHA1: cd61e5c57113521fb2aad4659b98f5537cd63ed8
SHA256: c44cd345fd36b056b8a3dc1bd4140a981e4878737db1579fdc904ad003a49ef2
SHA512: 6b7c8e627ae7ee15b4e06fb5321e40a89382aa8dadae7eba8aba3a4c24ad889cb6d4dd9686841caf3c836064d56da6a0f211f091d8a20786093ad5cdf2c9d4d4
Homepage: https://cran.r-project.org/package=bunching
Description: CRAN Package 'bunching' (Estimate Bunching)
 Implementation of the bunching estimator for kinks and notches.  Allows for
 flexible estimation of counterfactual (e.g. controlling for round number
 bunching, accounting for other bunching masses within bunching window,
 fixing bunching point to be minimum, maximum or median value in its bin,
 etc.).  It produces publication-ready plots in the style followed since
 Chetty et al. (2011) <doi:10.1093/qje/qjr013>, with lots of functionality to
 set plot options.

Package: r-cran-bunchr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-bunchr_1.2.0-1.ca2004.1_all.deb
Size: 142260
MD5sum: 19c3a73bc0db05db5f03834404e48796
SHA1: 8a70cd354a90d0793fb555c806f6507cf50ec414
SHA256: 74b6ac9c94f68c3a0c0ea298c8a76dc464f8311c81a0f37fd3840c5e4f3c8e70
SHA512: 11a5d5d6fced79de35130d71cc74aadfbb733f0827def3a75ffafbff38cee6d051bac750909c4b96fc0d753dd00a39587f721ff3121a24070805601aa4bd198a
Homepage: https://cran.r-project.org/package=bunchr
Description: CRAN Package 'bunchr' (Analyze Bunching in a Kink or Notch Setting)
 View and analyze data where bunching is expected. Estimate counter- factual
 distributions. For earnings data, estimate the compensated elasticity of
 earnings w.r.t. the net-of-tax rate.

Package: r-cran-bundesbank
Architecture: all
Version: 0.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-zoo
Filename: pool/dists/focal/main/r-cran-bundesbank_0.1-12-1.ca2004.1_all.deb
Size: 23164
MD5sum: f98e6787a4bda70fca639f22ece74c16
SHA1: 7ac0cb4376712bcf2f8a3d712faa11065d81787d
SHA256: e2396e38bfb515613f516d773a1c21fdd37806426c81e678b1e6262afa001dc4
SHA512: 7e0c8ccd83fc7e0f87593c22e63ea90ba0ad90fd0cf67a63930b0f2712417e8e63f259fb699bc5ec911eeb215af2c97cab4c51660ff5bf0860cedff92bd94689
Homepage: https://cran.r-project.org/package=bundesbank
Description: CRAN Package 'bundesbank' (Download Data from Bundesbank)
 Download data from the time-series databases of the Bundesbank, the German
 central bank. See the overview at the Bundesbank website
 (<https://www.bundesbank.de/en/statistics/time-series-databases>) for
 available series. The package provides only a single function, getSeries(),
 which supports both traditional and real-time datasets; it will also
 download meta data if available. Downloaded data can automatically be
 arranged in various formats, such as data frames or 'zoo' series. The data
 may optionally be cached, so as to avoid repeated downloads of the same
 series.

Package: r-cran-bundesligr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bundesligr_0.1.0-1.ca2004.1_all.deb
Size: 21164
MD5sum: 7f6f33e36bb7a8c40970dcf014d675ff
SHA1: ad5685163c7f4f529efa1efc310d1f0ae9a009c3
SHA256: 14fa4f91c5d3f0ddb7c1931d6de5ad9c49c4685003eaecb6bcc0c189e78be431
SHA512: 4d444fb9603776d672c2702817c9a2901b9e7a8f8da96ea4749a1c16662bc879debf5a92a8e0339587c844993d1a869e44db26450048e16c05d147e21ede8532
Homepage: https://cran.r-project.org/package=bundesligR
Description: CRAN Package 'bundesligR' (All Final Tables of the Bundesliga)
 All final tables of Germany's highest football (soccer!) league, the
 Bundesliga. Contains data from 1964 to 2016.

Package: r-cran-bundle
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1916
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-withr
Suggests: r-cran-bonsai, r-cran-butcher, r-cran-callr, r-cran-caret, r-cran-covr, r-cran-dbarts, r-cran-embed, r-cran-h2o, r-cran-keras, r-cran-kernlab, r-cran-knitr, r-cran-luz, r-cran-mass, r-cran-modeldata, r-cran-parsnip, r-cran-recipes, r-cran-renv, r-cran-rmarkdown, r-cran-stacks, r-cran-tensorflow, r-cran-testthat, r-cran-torch, r-cran-torchvision, r-cran-uwot, r-cran-vetiver, r-cran-workflows, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-bundle_0.1.2-1.ca2004.1_all.deb
Size: 1326668
MD5sum: 1547b2eeac0d7b754fd2182597df1b5f
SHA1: 2e2ad17dff78f8c8ca93e1bc5218b323519913d6
SHA256: 4c585274f394205cd96b24bafb0bd6af5f6114f3c71ca731a2187da8f0f5e321
SHA512: d9b694ca571d345ca864cad029796c8bff1a724e1a4e750a3d05384ab67435bb0fc63e305f3514b38204f74ad75224e51d90aa5c42a86824e9aede9caa2bb3ac
Homepage: https://cran.r-project.org/package=bundle
Description: CRAN Package 'bundle' (Serialize Model Objects with a Consistent Interface)
 Typically, models in 'R' exist in memory and can be saved via regular 'R'
 serialization. However, some models store information in locations that
 cannot be saved using 'R' serialization alone. The goal of 'bundle' is to
 provide a common interface to capture this information, situate it within a
 portable object, and restore it for use in new settings.

Package: r-cran-bupar
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-data.table, r-cran-shiny, r-cran-miniui, r-cran-pillar, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-glue, r-cran-forcats, r-cran-rlang, r-cran-cli, r-cran-eventdatar, r-cran-stringr, r-cran-stringi, r-cran-lubridate, r-cran-lifecycle, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-lintr, r-cran-edear, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bupar_0.5.4-1.ca2004.1_all.deb
Size: 373488
MD5sum: ad1fd87dcc487b6358b666e68cd07e73
SHA1: 8a12eb672fb46c4db8109a3f07c5b6ff4ed30795
SHA256: 05896b9a7336b217c9b18fd564dc8bb87b418b1758dde0ad3f9ee4e1cc6fe0af
SHA512: 448a9ae22255aa5549bff0075bc586f3a20db163132097333dcbfecf6bb6e79c5c59b7162fe3cf2370fe1677933f488877a307aa2b05056aab7bf02c7e550d9b
Homepage: https://cran.r-project.org/package=bupaR
Description: CRAN Package 'bupaR' (Business Process Analysis in R)
 Comprehensive Business Process Analysis toolkit. Creates S3-class for event
 log objects, and related handler functions. Imports related packages for
 filtering event data, computation of descriptive statistics, handling of
 'Petri Net' objects and visualization of process maps. See also packages
 'edeaR','processmapR', 'eventdataR' and 'processmonitR'.

Package: r-cran-bupaverse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bupar, r-cran-edear, r-cran-eventdatar, r-cran-processcheckr, r-cran-processmapr, r-cran-purrr, r-cran-magrittr, r-cran-rlang, r-cran-cli, r-cran-glue
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-bupaverse_0.1.0-1.ca2004.1_all.deb
Size: 73316
MD5sum: 100b286bbab92c37911d3dc7373d343e
SHA1: 2b3d3f86e3d044043159adceb663bb2ede618f76
SHA256: 4b2884685a0225804af33a53c7f4bc19e5d6c2fb59f9480ff6ede0ec1e30db92
SHA512: 3b914225ebea101e9b230b7377e40812e7f4a570b8b3c10f78d858fd109dece1330bbeebad429e0df9a9b8e57a0357dd09e835d01845eaff16043be083d67428
Homepage: https://cran.r-project.org/package=bupaverse
Description: CRAN Package 'bupaverse' (Easily Install and Load the 'bupaverse')
 The 'bupaverse' is an open-source, integrated suite of R-packages for
 handling and analysing business process data, developed by the Business
 Informatics research group at Hasselt University, Belgium. Profoundly
 inspired by the 'tidyverse' package, the 'bupaverse' package is designed to
 facilitate the installation and loading of multiple 'bupaverse' packages in
 a single step.  Learn more about 'bupaverse' at the <https://bupar.net>
 homepage.

Package: r-cran-burgle
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-riskregression
Suggests: r-cran-flexsurv, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-burgle_0.1.2-1.ca2004.1_all.deb
Size: 78364
MD5sum: 218b3697a4a4f987c240d3d04f771011
SHA1: 267c1d2dd58293e50f8867114e0ca680838f15ec
SHA256: c3a58931f16562690e60abd70f5ae175bc147ea05db73ee8c236d39f1d555813
SHA512: 57962408d4cd6d11febe3bb2843f0fffa2155a6e5ab0dd291faf53a331ff040a792bd10ef5c4fef634422f87947d2734cf9d844a9407b19d92d47eb158da05b8
Homepage: https://cran.r-project.org/package=burgle
Description: CRAN Package 'burgle' ('Burgle': Stealing the Necessary Parts of Model Objects)
 Provides a way to reduce model objects to necessary parts, making them
 easier to work with, store, share and simulate multiple values for new
 responses while allowing for parameter uncertainty.

Package: r-cran-burnr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 552
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forcats, r-cran-ggplot2, r-cran-mass, r-cran-plyr, r-cran-reshape2, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-burnr_0.6.1-1.ca2004.1_all.deb
Size: 376004
MD5sum: 9fead6f002519ec1068fbfe1c8aeb07d
SHA1: bd038dbc60d0324f5c81acc26a94db13ea0bc3b6
SHA256: 04fd149f8d67b4b0f8abc420886944e69d156f1c0e039446c9f21743dc89ba11
SHA512: cd8630d1ffcfcb2b0b497f27ad82d59a7f6abae993b148b4861d10ac6af2d9f631fa3938195b566a1fe848250bc53574c6acc4b9e861481d5a7a752a23fa575f
Homepage: https://cran.r-project.org/package=burnr
Description: CRAN Package 'burnr' (Forest Fire History Analysis)
 Tools to read, write, parse, and analyze forest fire history data (e.g.
 FHX). Described in Malevich et al. (2018)
 <doi:10.1016/j.dendro.2018.02.005>.

Package: r-cran-bursa
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rvest, r-cran-stringr, r-cran-jsonlite, r-cran-readr, r-cran-openxlsx
Suggests: r-cran-testthat, r-cran-devtools, r-cran-roxygen2, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-bursa_0.1.0-1.ca2004.1_all.deb
Size: 17600
MD5sum: a724a9d8da8d9e57f45a41054de75eaf
SHA1: 4818c953c25b62b8013771a4ce4ccda3674f26c9
SHA256: f741efcd5b954d8a662fd74f135af55c40dce00f13eb4e3bf0b5e254f46ed888
SHA512: 2b2dc050f34bb5acf835f2448cd3711d0357281a2a3562401a3da735f3578d7400093347beccd800d70942a73c21e8e350c2a4195080b5d73e2b86bcada20f85
Homepage: https://cran.r-project.org/package=bursa
Description: CRAN Package 'bursa' (R Wrapper for Bursa Municipality Open Data Portal)
 Call the data wrappers for Bursa Metropolitan Municipality's Open Data
 Portal <https://acikyesil.bursa.bel.tr/>. This will return all datasets
 stored in different formats.

Package: r-cran-burstfin
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-burstfin_1.3-1.ca2004.1_all.deb
Size: 97508
MD5sum: 6d0aa6a7810a1b7f304e99b28e4c922c
SHA1: 3a1ba2296bb94a6c1a69ef73c0e626eb4d614a5c
SHA256: 06f43f554b68b52c21afc0ff530d3a4882b7e687f33657ac3f7e104c35ac46f9
SHA512: 85fbe46bc3c5db9f1f0f5eda353332d91262fb8d6373ef3490f75d750732c9ed80904200c4e9c2094353856a4fe4081e01f70959988cb7797a50ef5f0fb25253
Homepage: https://cran.r-project.org/package=BurStFin
Description: CRAN Package 'BurStFin' (Burns Statistics Financial)
 A suite of functions for finance, including the estimation of variance
 matrices via a statistical factor model or Ledoit-Wolf shrinkage.

Package: r-cran-burstmisc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-burstmisc_1.1-1.ca2004.1_all.deb
Size: 71312
MD5sum: d97d303a00caad61e0ce3868020a392c
SHA1: c8a23110daeccf41da253191b0b51cbe54bcdd6f
SHA256: b41a81a762db506b26ae2c4fbb327f706a91c0a2312f3d1e2f7364e3f5d24582
SHA512: 9fe50a102c6077bca10c8ad447acbd2f2ace957e8f2a3d3ca05d48584ae82b8e64c4066dd745f05bfcd9b37c4fd2814ef3ea2527a391f63b6b4ea502c847791d
Homepage: https://cran.r-project.org/package=BurStMisc
Description: CRAN Package 'BurStMisc' (Burns Statistics Miscellaneous)
 Script search, corner, genetic optimization, permutation tests, write expect
 test.

Package: r-cran-bursts
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bursts_1.0-2-1.ca2004.1_all.deb
Size: 21656
MD5sum: 79a0d7d8cacfee058f30ea961fe0e97e
SHA1: 22c7aa785f2b586f948064dfed14c81e994e5fc9
SHA256: f6a4bedb4510143189d0d2bf592ce2b1989117be28ad13dd2b031555ffeb689e
SHA512: 6c779f3f0780957a2c2cc00ba6be9a2fb8e4a199c8b1648bd0e2eb4a788c6af4af1b79db4a6dfb1323f731c023959731f4c600ed2c010f1bc2855f616dbf6c0b
Homepage: https://cran.r-project.org/package=bursts
Description: CRAN Package 'bursts' (Markov Model for Bursty Behavior in Streams)
 An implementation of Jon Kleinberg's burst detection algorithm (Kleinberg
 (2003) <doi:10.1023/A:1024940629314>).  Uses an infinite Markov model to
 detect periods of increased activity in a series of discrete events with
 known times, and provides a simple visualization of the results.

Package: r-cran-busdater
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-busdater_0.2.0-1.ca2004.1_all.deb
Size: 39820
MD5sum: 5f56449a33aae2b4ff1c1e803b3d2e40
SHA1: b632f1402f1988874fcbd5d452a090c13347f7a2
SHA256: 04097a98caecb468a67b31f240e69d1c19149e0845a3921dd2307f0b5449245d
SHA512: 4a98e0806d865ac0ef2562c1cc6cad8e2dcec56823136d20f4a533f6b91011da9b6f90adf30e75853b8472030537816942b95b217734bdf9b566be63c8887027
Homepage: https://cran.r-project.org/package=busdater
Description: CRAN Package 'busdater' (Standard Date Calculations for Business)
 Get a current financial year, start of current month, End of current month,
 start of financial year and end of it.  Allow for offset from the date.

Package: r-cran-bushtucker
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bushtucker_0.1.0-1.ca2004.1_all.deb
Size: 64716
MD5sum: 5c5e669c437477c9880b518fd073b895
SHA1: 17eb5f3ed13d3e3188c01f503166b204e9155473
SHA256: fe4a1020251dab6eb61fe73a67be2c8d0ae184a93464c114354ddddfcb9a7ca3
SHA512: f980fef78111ba33469d24f877a3b2453c0f1affe4085acc937449057d2df1edcba8355870176c704e4d61df38a24f665d6d149b909091fe5bba503b4516264d
Homepage: https://cran.r-project.org/package=bushtucker
Description: CRAN Package 'bushtucker' ('I'm a Celebrity Get Me Out of Here' Data)
 Data on the first 24 seasons of the UK TV show 'I'm a Celebrity, Get Me Out
 of Here', broadcast from 2002-2024. Taken from the Wikipedia pages for each
 season and the main page available at
 <https://en.wikipedia.org/wiki/I%27m_a_Celebrity...Get_Me_Out_of_Here!_(British_TV_series)>.

Package: r-cran-businessduration
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron
Filename: pool/dists/focal/main/r-cran-businessduration_0.2.0-1.ca2004.1_all.deb
Size: 17552
MD5sum: 9ee25b32596828f310c3051e6dbdfe36
SHA1: f9719426dc68982317d8c888718670cf8c043de0
SHA256: 2ade752c4b9d777c9ca3199082a556f1e73ac15b9719475c9b2087f2299da787
SHA512: 2a53ca1908dcd36378879bdc6d30f6a04798d067fb8abf3be7770c81cfc29d1a3109450819629fb45c3672c48db813cb4a0dea76af4d559237379715b491d72c
Homepage: https://cran.r-project.org/package=BusinessDuration
Description: CRAN Package 'BusinessDuration' (Calculates Business Duration Between Two Dates)
 Calculates business duration between two dates. This excluding weekends,
 public holidays and non-business hours.

Package: r-cran-businessplanr
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kableextra, r-cran-knitr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-businessplanr_0.1-0-1.ca2004.1_all.deb
Size: 362348
MD5sum: a213b943ed777d97756bc32d27282960
SHA1: 1ccfe9f757dddff9d9e9fddc9fe77bceeb4fa341
SHA256: 870730aa10977cce241ea2035af978c2f02d0d4e342cdd0df7935caa61b04bbe
SHA512: b7da11c1655bb61f1bc2305ef78704d85af4ab0cd09f60d71cebc17bf675471eddd7b2b9e38c4c723f6c924f5a5e0fb67495b611019e6ceea1f856c855a705c0
Homepage: https://cran.r-project.org/package=businessPlanR
Description: CRAN Package 'businessPlanR' (Simple Modelling Tools for Business Plans)
 A collection of S4 classes, methods and functions to create and visualize
 business plans. Different types of cash flows can be defined, which can then
 be used and tabulated to create profit and loss statements, cash flow plans,
 investment and depreciation schedules, loan amortization schedules, etc. The
 methods are designed to produce handsome tables in both PDF and HTML using
 'RMarkdown' or 'Shiny'.

Package: r-cran-butcher
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-lobstr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-c50, r-cran-caret, r-cran-clusterr, r-cran-clustmixtype, r-cran-covr, r-cran-dbarts, r-cran-ddalpha, r-cran-dplyr, r-cran-e1071, r-cran-earth, r-cran-flexsurv, r-cran-fs, r-cran-ipred, r-cran-kernlab, r-cran-kknn, r-cran-klar, r-cran-knitr, r-cran-mass, r-cran-mda, r-cran-mgcv, r-cran-modeldata, r-cran-nnet, r-cran-parsnip, r-cran-pkgload, r-cran-pls, r-cran-qsardata, r-cran-randomforest, r-cran-ranger, r-cran-rann, r-cran-recipes, r-cran-rmarkdown, r-cran-rpart, r-cran-rsample, r-cran-rspectra, r-cran-sparklyr, r-cran-survival, r-cran-testthat, r-cran-th.data, r-cran-usethis, r-cran-xgboost, r-cran-xrf
Filename: pool/dists/focal/main/r-cran-butcher_0.3.5-1.ca2004.1_all.deb
Size: 262116
MD5sum: 54433676ec16eaa3069e166a6f427c7f
SHA1: 161d13acc085a86998da2d05c4efba259a3c8737
SHA256: 1610a6672202c07ced4ecb5c5704783046c7b0ceb722e1254d1212dc71cebf75
SHA512: 36e1e37907a7991d4dda8f82a81bdc2df431b99441e725c9f6a4a2ec3ab341c9b89d4ec956cc80baf4d90e96418f86102caf2df5e6673336b6ce65379738e251
Homepage: https://cran.r-project.org/package=butcher
Description: CRAN Package 'butcher' (Model Butcher)
 Provides a set of S3 generics to axe components of fitted model objects and
 help reduce the size of model objects saved to disk.

Package: r-cran-butterfly
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-waldo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-butterfly_1.1.2-1.ca2004.1_all.deb
Size: 391576
MD5sum: 6ea12f7ee5d1e2b37cba166d4ee20f6d
SHA1: af1aeeaa2647c31a51e1b929632aa624fffd8f0a
SHA256: e9401a4e8b4147439b3a30795f69d159e726e8975bb59888a428cb8d11ad2bb8
SHA512: 2e4620909a242d125fab5fae25c715a9e6d16ae3a1246a56920df1fe8498bacf70d63f56ba5662b0255a6d18944d3b2a75aa6ad81d514f111c7cb3fc5a154940
Homepage: https://cran.r-project.org/package=butterfly
Description: CRAN Package 'butterfly' (Verification for Continually Updating Time Series Data)
 Verification of continually updating time series data where we expect new
 values, but want to ensure previous data remains unchanged. Data previously
 recorded could change for a number of reasons, such as discovery of an error
 in model code, a change in methodology or instrument recalibration.
 Monitoring data sources for these changes is not always possible. Other
 unnoticed changes could include a jump in time or measurement frequency, due
 to instrument failure or software updates. Functionality is provided that
 can be used to check and flag changes to previous data to prevent changes
 going unnoticed, as well as unexpected jumps in time.

Package: r-cran-butterflyoptions
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-butterflyoptions_1.0.1-1.ca2004.1_all.deb
Size: 34116
MD5sum: 443356d11b96ad330751d7fdb33c8166
SHA1: b267aa8c57303066b434db79a76887d8163ff8cd
SHA256: 9182bb3ec95222fd9d0f5dd8f264f24589f9d189f0d93d02b39f666ad6654618
SHA512: 900ac1b51526e6c2da4defa818546e7277d478a8ae17ae20859881ee4c9b067fd888410c10f478904919336b1c95b615c946141862dffd03d4230e7395127e82
Homepage: https://cran.r-project.org/package=butterflyOptions
Description: CRAN Package 'butterflyOptions' (Trading Butterfly Options Strategies)
 Trading of Butterfly Options Strategies is represented here through their
 Graphs. The graphic indicators, strategies, calculations, functions and all
 the discussions are for academic, research, and educational purposes only
 and should not be construed as investment advice and come with absolutely no
 Liability.  Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015,
 ISBN: 9780133964028).  Zura Kakushadze, Juan A. Serur (“151 Trading
 Strategies”, 2018, ISBN: 9783030027919).  John C. Hull (“Options, Futures,
 and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).

Package: r-cran-bvalue
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bvalue_1.0-1.ca2004.1_all.deb
Size: 31736
MD5sum: 0fa5628318f3f89b882de3b6838e363b
SHA1: 5b557e97f5113308b7c3733100f2359050c6dd80
SHA256: e100d5a78c5a2c4448caa12ef139594367eeaad1b521bd338e3820fac17da011
SHA512: 0ed7b264b3f8beaa6850e451b218b3f393b53b631e67a4f6e120777425f502204a000ec52f19fdfeaafd2db8dd44aaadc57c72520c319746bb58f669fd51450a
Homepage: https://cran.r-project.org/package=Bvalue
Description: CRAN Package 'Bvalue' (B-Value and Empirical Equivalence Bound)
 Calculates B-value and empirical equivalence bound. B-value is defined as
 the maximum magnitude of a confidence interval; and the empirical
 equivalence bound is the minimum B-value at a certain level. A new two-stage
 procedure for hypothesis testing is proposed, where the first stage is
 conventional hypothesis testing and the second is an equivalence testing
 procedure using the introduced empirical equivalence bound. See Zhao et al.
 (2019) "B-Value and Empirical Equivalence Bound: A New Procedure of
 Hypothesis Testing" <arXiv:1912.13084> for details.

Package: r-cran-bvar
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1361
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-coda, r-cran-vars, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bvar_1.0.5-1.ca2004.1_all.deb
Size: 1206792
MD5sum: d2bd1990f8d238f502521566d42ef556
SHA1: 1ad46538eeb76b7b889c71536e4cc3753fa4f996
SHA256: 1f55c726a20df5086adf05c0390be5593853eb7be587a00da8ea418ccf605439
SHA512: 9ab558496713dd1500b610bdf725f5d489840d5d8d18b4d0ae4807d1ccc0e22947559d9069f579e6b1f78643ba6196367baeafa45f41a329b65ac99b5822a92c
Homepage: https://cran.r-project.org/package=BVAR
Description: CRAN Package 'BVAR' (Hierarchical Bayesian Vector Autoregression)
 Estimation of hierarchical Bayesian vector autoregressive models following
 Kuschnig & Vashold (2021) <doi:10.18637/jss.v100.i14>.  Implements
 hierarchical prior selection for conjugate priors in the fashion of
 Giannone, Lenza & Primiceri (2015) <doi:10.1162/REST_a_00483>.  Functions to
 compute and identify impulse responses, calculate forecasts, forecast error
 variance decompositions and scenarios are available.  Several methods to
 print, plot and summarise results facilitate analysis.

Package: r-cran-bvarverse
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bvar, r-cran-ggplot2, r-cran-tidyr, r-cran-generics, r-cran-rlang
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-bvarverse_0.0.1-1.ca2004.1_all.deb
Size: 60628
MD5sum: a48298ee6adbd801e6e66b8965afe113
SHA1: 1f65b6144883714868d95c105f1fb85f397b9091
SHA256: 9be45488ff5c2b2ef5642b07b792e8f152607c4cf40e1063cc5e65ad1a5f8dfe
SHA512: 5d19b7bd7b251eadb6c99dc00c8a24fbf15dad1db6694964bd8e94981e20159fbe7bb64cce205a0dd00712846597c2f77dc84817ead00941a150d7853e3915fb
Homepage: https://cran.r-project.org/package=BVARverse
Description: CRAN Package 'BVARverse' (Tidy Bayesian Vector Autoregression)
 Functions to prepare tidy objects from estimated models via 'BVAR' (see
 Kuschnig & Vashold, 2019 <doi:10.13140/RG.2.2.25541.60643>) and
 visualisation thereof. Bridges the gap between estimating models with 'BVAR'
 and plotting the results in a more sophisticated way with 'ggplot2' as well
 as passing them on in a tidy format.

Package: r-cran-bvenn
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-bvenn_0.1-1.ca2004.1_all.deb
Size: 22036
MD5sum: 2517b34e8c013fdabcb0f6ef8d21b0c8
SHA1: 661220ae94fd7ffcfdf37c368a08b2d20c5d50b0
SHA256: 73ec497399b979ff2bfad974922f357afd50a2af59e4b17336092e467542342f
SHA512: 056d2942a52659413e07a33c08dd0a90f21952257c011ad68f40a9e3e3328959c925cd44907158cff22a1edb6043b3a008337d8569bbd214510dcccade6e1a87
Homepage: https://cran.r-project.org/package=bvenn
Description: CRAN Package 'bvenn' (A Simple alternative to proportional Venn diagrams)
 This package implements a simple alternative to the traditional Venn
 diagram. It depicts each overlap as a separate bubble with area proportional
 to the overlap size. Relation of the bubbles to input sets is shown by their
 their arrangement.

Package: r-cran-bvpa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-bvpa_1.0.0-1.ca2004.1_all.deb
Size: 122728
MD5sum: 102ba9fd018660fd2905d4ae13fb7223
SHA1: 2ff2624386a0220f5363b248ab43cfb8edd0c347
SHA256: ee2595e0bb66b0301a85bb63630fdd492dd35d41a4d9ab5a87481e2bc67fa123
SHA512: 867ee552db7095e55083c07f4f9ce04c9ef6df5cf606bff20fb8430591f68a0056596d987e842c0b219204f426b21a88fa737ccf53ab8e604981874f40c88907
Homepage: https://cran.r-project.org/package=bvpa
Description: CRAN Package 'bvpa' (Bivariate Pareto Distribution)
 Implements the EM algorithm with one-step Gradient Descent method to
 estimate the parameters of the Block-Basu bivariate Pareto distribution with
 location and scale. We also found parametric bootstrap and asymptotic
 confidence intervals based on the observed Fisher information of scale and
 shape parameters, and exact confidence intervals for location parameters.
 Details are in Biplab Paul and Arabin Kumar Dey (2023)
 <doi:10.48550/arXiv.1608.02199> "An EM algorithm for absolutely continuous
 Marshall-Olkin bivariate Pareto distribution with location and scale"; E L
 Lehmann and George Casella (1998) <doi:10.1007/b98854> "Theory of Point
 Estimation"; Bradley Efron and R J Tibshirani (1994)
 <doi:10.1201/9780429246593> "An Introduction to the Bootstrap"; A P
 Dempster, N M Laird and D B Rubin (1977) <www.jstor.org/stable/2984875>
 "Maximum Likelihood from Incomplete Data via the EM Algorithm".

Package: r-cran-bwgs
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 993
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rrblup, r-cran-bglr, r-cran-glmnet, r-cran-randomforest, r-cran-brnn, r-cran-e1071, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-bwgs_0.2.1-1.ca2004.1_all.deb
Size: 901428
MD5sum: c0dbf297c8b0cd6bf3e634670896828b
SHA1: 5626952fc3813bfd8bf51eaec4094f453e27339a
SHA256: 2285a7d70f842360adfd56ce9b968b0f5fc9eafdc5e7d935dd40b409bf94f807
SHA512: 25feb9ae258cd2e8934ab3c0e38f9ef2328588bb9116dca9ba7abb6700e970eb2023bc040fc9b61a727e93ee9f0558c3974bc362141499bee28c05da4cbc42a4
Homepage: https://cran.r-project.org/package=BWGS
Description: CRAN Package 'BWGS' (BreedWheat Genomic Selection Pipeline)
 Package for Breed Wheat Genomic Selection Pipeline.  The R package 'BWGS' is
 developed by Louis Gautier Tran <louis.gautier.tran@gmail.com> and Gilles
 Charmet <gilles.charmet@inra.fr>.  This repository is forked from original
 repository <https://forgemia.inra.fr/umr-gdec/bwgs> and modified as a R
 package.

Package: r-cran-bwimage
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3803
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-png
Filename: pool/dists/focal/main/r-cran-bwimage_1.3-1.ca2004.1_all.deb
Size: 3475504
MD5sum: 9510dddf5d7279c0e1a60640654d695e
SHA1: 6e8f132d20e385517ba6804a3a7f8ff855deacd8
SHA256: b2c8a18f0580ab7f5f6d332abf1b78aad687662cd43ab8b4dee2fd1eafca4391
SHA512: bac848120da74681ccd27245d38093ce2e5c1bbc68da9e14e4d0e832a3f7e191871689585fbed6d73cd7da961348906d9e8ae53a4e4a84b9a22bdb5cc85ab827
Homepage: https://cran.r-project.org/package=bwimage
Description: CRAN Package 'bwimage' (Describe Image Patterns in Natural Structures)
 A computational tool to describe patterns in black and white images from
 natural structures. 'bwimage' implemented functions for exceptionally broad
 subject. For instance, 'bwimage' provide examples that range from
 calculation of canopy openness, description of patterns in vertical
 vegetation structure, to patterns in bird nest structure.

Package: r-cran-bwstools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crossdes, r-cran-dplyr, r-cran-igraph, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-bwstools_1.2.0-1.ca2004.1_all.deb
Size: 148656
MD5sum: 12c42da8d09e7110a09bbec5919f93d1
SHA1: 2eb4fc339e79eba3b02dec7856d955b6186e0e1c
SHA256: 9ff2fe4d04da37ed96da125d9bc3110a274d82f630d9246f621f21b0819b4a70
SHA512: 05c44dfcc9f9a62137997ba2058ce16ce29e0e526f23ae21185b89895d5f4b2877144eda9118b6f336059970f660d727344402ed4978c8d3a6e69f048786be00
Homepage: https://cran.r-project.org/package=bwsTools
Description: CRAN Package 'bwsTools' (Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs)
 Tools to design best-worst scaling designs (i.e., balanced incomplete block
 designs) and to analyze data from these designs, using aggregate and
 individual methods such as: difference scores, Louviere, Lings, Islam,
 Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical
 estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>;
 empirical Bayes, Lipovetsky & Conklin (2015)
 <doi:10.1142/S1793536915500028>; Elo, Hollis (2018)
 <doi:10.3758/s13428-017-0898-2>; and network-based measures.

Package: r-cran-bysykkel
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-tibble
Suggests: r-cran-data.table, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-bysykkel_0.3.1-1.ca2004.1_all.deb
Size: 50772
MD5sum: 650c3fc44c688017e9c32fb698a6bdfe
SHA1: b748fd2395731e9f62322fde7a3cd4e7080ccada
SHA256: 2a4c869fb663737051ae6996d6e3a65bfffd441704567918fab3c6c6a8ad86d1
SHA512: 8de0cd7221e7eb95b00e25e43ce416ffba1bbb8dcab73dac20580582224d2b43219c709aee9845f10a7113c07dab0a05b0994a6ca568d7388cb85b54d5785e4f
Homepage: https://cran.r-project.org/package=bysykkel
Description: CRAN Package 'bysykkel' (Get City Bike Data from Norway)
 Functions to get and download city bike data from the website and API
 service of each city bike service in Norway. The package aims to reduce time
 spent on getting Norwegian city bike data, and lower barriers to start
 analyzing it. The data is retrieved from Oslo City Bike, Bergen City Bike,
 and Trondheim City Bike. The data is made available under NLOD 2.0
 <https://data.norge.no/nlod/en/2.0>.

Package: r-cran-c060
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-mlegp, r-cran-tgp, r-cran-peperr, r-cran-penalized, r-cran-penalizedsvm, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-c060_0.3-0-1.ca2004.1_all.deb
Size: 179384
MD5sum: a7a0b58119566b0d1e79d374348c3e6b
SHA1: 719ccd2b7bd49d3512c8817344a5af66d85d8a1c
SHA256: efb1c2a2ebf71db2db5d04451b262d9052486c9a1bdc2f7bc8884e2ec81bc4bd
SHA512: 24f4a4b99c4e25ff97c1e78407f4760ceaa87f08e09eff3ca4a30ec6c32e3fd75b8be5e712c23030342336a698a15ea867553ba14a0f29f98de6c260ffe41660
Homepage: https://cran.r-project.org/package=c060
Description: CRAN Package 'c060' (Extended Inference for Lasso and Elastic-Net Regularized Cox andGeneralized Linear Models)
 The c060 package provides additional functions to perform stability
 selection, model validation and parameter tuning for glmnet models.

Package: r-cran-c19dnuts
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1342
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-c19dnuts_1.0.1-1.ca2004.1_all.deb
Size: 1206952
MD5sum: eea57d4cf907bfac54e33480dbafc4c0
SHA1: bb4d7e363f1d4d15e124eff34a317eaa0782207c
SHA256: 2ca29a10a97bda8e8c52765e0c41cc18e67e7374754e199662c88b95fafc1296
SHA512: 99dbcfd8feb2bcc999875350d1530cdbe5bbbd09ab33f3893c522c8c8901618c9847a6f4fbfb88f7e3a2c402be071429125e0e472f901d4548a4cf218045a74d
Homepage: https://cran.r-project.org/package=C19dNUTS
Description: CRAN Package 'C19dNUTS' (Dataset of Regional COVID-19 Deaths per 100,000 Pop (NUTS))
 Dataset containing cumulative COVID-19 deaths (absolute and per 100,000 pop)
 at the regional level (mostly NUTS 3) for 31 EU/EFTA countries.

Package: r-cran-c2c
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-c2c_0.1.0-1.ca2004.1_all.deb
Size: 39480
MD5sum: 43f92a2ac7e508f98156ee166f99066f
SHA1: 56b7fd53864fbd87342f7766bb8c922aaeedf989
SHA256: 1ea9abd985cd55110251d5597620f49383c65b86932d4b31ab051f1e33c6c386
SHA512: f1627bad168f46222d51940761008bea6623db064ff0c270089f707250c473f43eda2083e451ad46e0d64930e9b42eca81e9eed45cb7257683c56ea54a285388
Homepage: https://cran.r-project.org/package=c2c
Description: CRAN Package 'c2c' (Compare Two Classifications or Clustering Solutions of VaryingStructure)
 Compare two classifications or clustering solutions that may or may not have
 the same number of classes, and that might have hard or soft (fuzzy,
 probabilistic) membership. Calculate various metrics to assess how the
 clusters compare to each other. The calculations are simple, but provide a
 handy tool for users unfamiliar with matrix multiplication. This package is
 not geared towards traditional accuracy assessment for classification/
 mapping applications - the motivating use case is for comparing a
 probabilistic clustering solution to a set of reference or existing class
 labels that could have any number of classes (that is, without having to
 degrade the probabilistic clustering to hard classes).

Package: r-cran-c2d4u.tools
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-c2d4u.tools_1.2-1.ca2004.1_all.deb
Size: 13848
MD5sum: e59d5c1f2de88912372a251677277c4a
SHA1: e5a457d33e5c73fcaee5b198194a5d7ba09e7b80
SHA256: 3fe0e587c9072200c0ab63e0c4b885145bf0f709372a5395c9476d8c6c942bf5
SHA512: 6beafb8740f304ced1dcbf3ea72d9cc9b48fc380e70bc169d505e5463f3e0bcc31a97ea915b507b1a0456ab1f0e0db5ded5ab15ca9eab623095149d134123216
Homepage: https://cran.r-project.org/package=c2d4u.tools
Description: CRAN Package 'c2d4u.tools' ('c2d4u' - CRAN Packages for 'Ubuntu')
 The 'c2d4u' project provides precompiled CRAN packages for 'Ubuntu' users.
 They can be installed into user libraries without requiring root
 permissions.

Package: r-cran-c2z
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-c2z_0.2.0-1.ca2004.1_all.deb
Size: 334156
MD5sum: efd661a33622460f07a9ea6e935feeb2
SHA1: ed1eee6637862057fd03ae32a45911a2e66cce36
SHA256: a8dc1646a7065d38e1e6aa579abc2bd84a9d7e95ff573f7d9ef91a5f93a15956
SHA512: d479c3273b44c5199aa0cb04bb7de55770a2765dd97d61e8ccd83616d3b78dbda60c3773ef506b1d1680b0d2c8241affb83c34356b3f47a382ae3280a4b0a61a
Homepage: https://cran.r-project.org/package=c2z
Description: CRAN Package 'c2z' (A Reference Manager)
 'Cristin' to 'Zotero' ('c2z') aims at obtaining total dominion over
 'Cristin' ('Current Research Information SysTem in Norway') and 'Zotero'.
 The package enables manipulating 'Zotero' libraries using 'R'.  Import
 references from 'Cristin', 'Regjeringen', 'CRAN', 'ISBN' ('Alma', 'LoC'),
 and 'DOI' ('CrossRef', 'DataCite') to a 'Zotero' library. Add, edit, copy,
 or delete items, including attachments and collections, and export
 references to 'BibLaTeX' (and other formats).

Package: r-cran-c3
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-data.table, r-cran-lazyeval, r-cran-htmlwidgets, r-cran-dplyr, r-cran-viridis
Suggests: r-cran-testthat, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-c3_0.3.0-1.ca2004.1_all.deb
Size: 245256
MD5sum: 703099ec68043c19812c68eafaa68881
SHA1: 8b7ed06cd2712ebf6a4f8d539689f6deba80a635
SHA256: 984dc7f40c76f6001a8f290ef6e5506cf03a7f60c710fc475344cf75174d0b29
SHA512: 9726e3b9f8454913880f090f965618b900bf0e3de8d853bcaee9a005a8644d8acdabea598aafe4b704baaf2264b865de2a5804229bfacc13c15f27a158b66b63
Homepage: https://cran.r-project.org/package=c3
Description: CRAN Package 'c3' ('C3.js' Chart Library)
 Create interactive charts with the 'C3.js' <http://c3js.org/> charting
 library. All plot types in 'C3.js' are available and include line, bar,
 scatter, and mixed geometry plots. Plot annotations, labels and axis are
 highly adjustable. Interactive web based charts can be embedded in R
 Markdown documents or Shiny web applications.

Package: r-cran-c3net
Architecture: all
Version: 1.1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-c3net_1.1.1.1-1.ca2004.1_all.deb
Size: 547192
MD5sum: 38c812d3ada43e9ce266da5fac120a91
SHA1: 05c879ec6d7b1035eceefbf26f99c7068287d1d8
SHA256: 80e8ac43e43053f783bffe3cc0552d5332f4afa82e58e77837883a395a59429b
SHA512: e71837b43506baf5233752d9f4f7d83addfc940928fffd217b69296075e210a4f17588516d818d95a8c1efd7e6a8d17377c78fd8ac2c24ac9e871a3980b5a7a6
Homepage: https://cran.r-project.org/package=c3net
Description: CRAN Package 'c3net' (Inferring Large-Scale Gene Networks with C3NET)
 Allows inferring gene regulatory networks with direct physical interactions
 from microarray expression data using C3NET.

Package: r-cran-c443
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-partykit, r-cran-rpart, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-ggplot2, r-cran-cluster, r-cran-foreach, r-cran-igraph, r-cran-plyr, r-cran-ranger, r-cran-randomforest, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-c443_3.4.0-1.ca2004.1_all.deb
Size: 152636
MD5sum: 085d64ac837664b0a019125e8f35b58c
SHA1: e68682fa96d08a7d25149bb9e86a28c658830ace
SHA256: 55af628142f2e36c11362c74de1aa660b6609313fbd4f362a3375a04577fcbe7
SHA512: cb01317fc929a8576ecf41512db0efc804d623dd07e6552c8d43e5c1531d2d0a7da80cc302272db2a46ee54cf3511919633fe495c6d619c5ee784d6dd9a4d561
Homepage: https://cran.r-project.org/package=C443
Description: CRAN Package 'C443' (See a Forest for the Trees)
 Get insight into a forest of classification trees, by calculating
 similarities between the trees, and subsequently clustering them. Each
 cluster is represented by it's most central cluster member. The package
 implements the methodology described in Sies & Van Mechelen (2020)
 <doi:10.1007/s00357-019-09350-4>.

Package: r-cran-ca3variants
Architecture: all
Version: 3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-ggforce, r-cran-gridextra, r-cran-ggrepel, r-cran-multichull
Filename: pool/dists/focal/main/r-cran-ca3variants_3.3.1-1.ca2004.1_all.deb
Size: 300096
MD5sum: 1837da9fc7110cb8a1ca663787a99e25
SHA1: d0de653e7bddaf2a7ec8de3b60e1368b4c7e5138
SHA256: 006c08ea3fcefed48baeaaa083cb388af9b6db8a20cedfd378a52e282601f625
SHA512: ce820312ba4832b9554e52085c0d2c761c9f86833c1b40942ae09085425ab9bd1e4c7f86c662c5cc64e8168e9e6a75cbabcaefcc4219d351bb5105ec563bda56
Homepage: https://cran.r-project.org/package=CA3variants
Description: CRAN Package 'CA3variants' (Three-Way Correspondence Analysis Variants)
 Provides four variants of three-way correspondence analysis (ca): three-way
 symmetrical ca, three-way non-symmetrical ca, three-way ordered symmetrical
 ca and three-way ordered non-symmetrical ca.

Package: r-cran-ca
Architecture: all
Version: 0.71.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rgl, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-ca_0.71.1-1.ca2004.1_all.deb
Size: 240552
MD5sum: a2b119cd341085e8d2613333e90ede6a
SHA1: 078193063da3152e283977d077663c1de2b5640f
SHA256: b730c553214aa61cb8dae997a6634793be3b9bf57c9bf17bf59958b1699cf5a0
SHA512: 0d44981959b16823d29a6ae737a284a349bf5e93c87f2ec3102ee151a4ee5b318a40f0fd4880ced66771b0c3ecb4f4428502ce4e5a477ddbd50e861955f57930
Homepage: https://cran.r-project.org/package=ca
Description: CRAN Package 'ca' (Simple, Multiple and Joint Correspondence Analysis)
 Computation and visualization of simple, multiple and joint correspondence
 analysis.

Package: r-cran-cabinets
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-glue, r-cran-rstudioapi, r-cran-crayon, r-cran-fs, r-cran-stringr, r-cran-git2r, r-cran-cli, r-cran-renv
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cabinets_0.6.0-1.ca2004.1_all.deb
Size: 83636
MD5sum: bfca1185d049e8dea24c51a77b188a78
SHA1: dc954146bef3422217ce6ebc04c278e0904b14e2
SHA256: c36cd51a8b801954ab32091ab6d469478db5e48a55d019b092079298ffc09dfa
SHA512: fb93850dfe78c90263283f22fe27d8ae261a5819c1c5e2473b6e14897bc07a8da7d44fe9e18908e543499c43984aea154343fbbc872d4e5a8b7b10d8552bcfa7
Homepage: https://cran.r-project.org/package=cabinets
Description: CRAN Package 'cabinets' (Project Specific Workspace Organization Templates)
 Creates project specific directory and file templates that are written to a
 .Rprofile file. Upon starting a new R session, these templates can be used
 to streamline the creation of new directories that are standardized to the
 user's preferences and can include the initiation of a git repository, an
 RStudio R project, and project-local dependency management with the 'renv'
 package.

Package: r-cran-cabootcrs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-colorspace
Suggests: r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-cabootcrs_2.1.0-1.ca2004.1_all.deb
Size: 275860
MD5sum: c8c58d5bb74dbde27bbe9ec75409eba6
SHA1: 6ede748ee681575a75c2dd8019b43611c6d65c49
SHA256: 4600e2e4a4f0984824bc9c47e5b250894216c95eb92070d79f7e5999ca0dee34
SHA512: efec89af5f6d5dfc80c42c21103a4fba8edd6bdb71740c44c434b9a4e0210f39796837cd3152ceaab43cce54570cc6a38f809833a2ed15e8368a390f719d3348
Homepage: https://cran.r-project.org/package=cabootcrs
Description: CRAN Package 'cabootcrs' (Bootstrap Confidence Regions for Simple and MultipleCorrespondence Analysis)
 Performs simple correspondence analysis on a two-way contingency table, or
 multiple correspondence analysis (homogeneity analysis) on data with p
 categorical variables, and produces bootstrap-based elliptical confidence
 regions around the projected coordinates for the category points.  Includes
 routines to plot the results in a variety of styles.  Also reports the
 standard numerical output for correspondence analysis.

Package: r-cran-cacc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-cacc_0.1.1-1.ca2004.1_all.deb
Size: 58380
MD5sum: f34f29958581df38f1fec6dd29460f00
SHA1: 444ef24d02f67131b648a1f3d845bae5ce254a93
SHA256: 84529621207fa6954761426a2bce6f8d6ec90e918f9860a3b90d231368633626
SHA512: aa1098a9147dc4f440af9999bfe1a95112c856a901370bdab12164f48750f7ce7fb533820322a650be96e67871b3f055fa460d8677ba9fec4651173577597854
Homepage: https://cran.r-project.org/package=cacc
Description: CRAN Package 'cacc' (Conjunctive Analysis of Case Configurations)
 A set of functions to conduct Conjunctive Analysis of Case Configurations
 (CACC) as described in Miethe, Hart, and Regoeczi (2008)
 <doi:10.1007/s10940-008-9044-8>, and identify and quantify situational
 clustering in dominant case configurations as described in Hart (2019)
 <doi:10.1177/0011128719866123>. Initially conceived as an exploratory
 technique for multivariate analysis of categorical data, CACC has developed
 to include formal statistical tests that can be applied in a wide variety of
 contexts. This technique allows examining composite profiles of different
 units of analysis in an alternative way to variable-oriented methods.

Package: r-cran-cache
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-assert, r-cran-cli, r-cran-here
Filename: pool/dists/focal/main/r-cran-cache_0.0.3-1.ca2004.1_all.deb
Size: 15968
MD5sum: d4241300ec2167c3b92ef2b169485182
SHA1: a4352953573f0210735e072d4fe11596cce4160a
SHA256: dbf508a4fb76e19680a9c4b804df23562a36a78976ec8cf2ed00e85cf4970e94
SHA512: f58bfd479acda42c295ea317b4797c9c8acf1377c037baa94aa856e6c1317089bf4e28152b1aa02cf60ff876ec86d645be73bd352387a212d1636e3841450a15
Homepage: https://cran.r-project.org/package=cache
Description: CRAN Package 'cache' (Cache and Retrieve Computation Results)
 Easily cache and retrieve computation results. The package works seamlessly
 across interactive R sessions, R scripts and Rmarkdown documents.

Package: r-cran-cacimar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3160
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-seurat, r-cran-pheatmap, r-cran-pbapply, r-cran-psych, r-cran-rocr, r-cran-reshape2, r-cran-dplyr, r-cran-viridislite
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cacimar_1.0.0-1.ca2004.1_all.deb
Size: 2611864
MD5sum: 838884c715d1548ec9914903440962ba
SHA1: aca229ebf09642b7fc62947cd7d8ea30a0dc33e4
SHA256: aa5082c3cec58991084d6df786b0c3e6c82a3d68f88bfec2217d10277c514ad1
SHA512: 44c8b40174427686bdb5b0af88ae7be93c735d90b5ca4eab4b7a7a11dffacb402a88cf6dd07be5db15e2d54f9de3795a20fe57befb6affb376b1eebd1c767e52
Homepage: https://cran.r-project.org/package=CACIMAR
Description: CRAN Package 'CACIMAR' (Cross-Species Analysis of Cell Identities, Markers andRegulations)
 A toolkit to perform cross-species analysis based on scRNA-seq data. This
 package contains 5 main features. (1) identify Markers in each cluster. (2)
 Cell type annotation (3) identify conserved markers. (4) identify conserved
 cell types. (5) identify conserved modules of regulatory networks.

Package: r-cran-cacirt
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cacirt_1.4-1.ca2004.1_all.deb
Size: 79856
MD5sum: 390d8330079ae20faebcc9e406f42e65
SHA1: 0fab40f77e278d039bced017ff3297dfdfbeab18
SHA256: 842195b8d8f4129aee1f0cb4f038b36bfc565da8a0f26075f228ed1bc52ffe68
SHA512: 4be18908bea084bba639400855abc94fad0f0d969272e8ab4f4e2d8e67b16917b516280bd1b95ba484a8d81efbaa5ef978048043a3d7bd938d3d8ca4b055263a
Homepage: https://cran.r-project.org/package=cacIRT
Description: CRAN Package 'cacIRT' (Classification Accuracy and Consistency under Item ResponseTheory)
 Computes classification accuracy and consistency indices under Item Response
 Theory. Implements the total score IRT-based methods in Lee, Hanson &
 Brennen (2002) and Lee (2010), the IRT-based methods in Rudner (2001, 2005),
 and the total score nonparametric methods in Lathrop & Cheng (2014). For
 dichotomous and polytomous tests.

Package: r-cran-cadence
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pso
Suggests: r-cran-boot
Filename: pool/dists/focal/main/r-cran-cadence_1.2.5-1.ca2004.1_all.deb
Size: 154304
MD5sum: 923f8e96c1ffafc6d6a7dae36df29d04
SHA1: 78c7528ab82a7c3b405ff0c385f781d070fb5c38
SHA256: 935a9e7c1e2aebef38f0f3e62083eacdfbc1a5ef688b49bd4cc1e2bd660c796e
SHA512: 81ec8d948bc93fc8bf2fbd0aa4da8d282e1176b22c85e1a185b84e4b1c2be9bd2d64423978eedb9f627707aadbf8df849ba9ed46101d49e40d54911eb813fbdb
Homepage: https://cran.r-project.org/package=CaDENCE
Description: CRAN Package 'CaDENCE' (Conditional Density Estimation Network Construction andEvaluation)
 Parameters of a user-specified probability distribution are modelled by a
 multi-layer perceptron artificial neural network. This framework can be used
 to implement probabilistic nonlinear models including mixture density
 networks, heteroscedastic regression models, zero-inflated models, etc.
 following Cannon (2012) <doi:10.1016/j.cageo.2011.08.023>.

Package: r-cran-cadf
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12021
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-markovchain, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cadf_0.1-1.ca2004.1_all.deb
Size: 8591712
MD5sum: c50b634d9e74ebd0ddcefd7b922eb481
SHA1: f530f951591fa73284aafb0cad54a47c425931c1
SHA256: 05af9c99813485c47422c00454272c3e350c2c229fa6fa975c6af2f52403acf9
SHA512: 483c79ab3d3c2ca2f564c3f7a3427e82acb16346a3a062ede059fc4feba9ef03ef956b8233a7d55e4f0f12f136c577af056b057d9cbf93a4990a52b4b481ce5d
Homepage: https://cran.r-project.org/package=CADF
Description: CRAN Package 'CADF' (Customer Analytics Data Formatting)
 Converts customer transaction data (ID, purchase date) into a R6 class
 called customer.  The class stores various customer analytics calculations
 at the customer level. The package also contains functionality to convert
 data in the R6 class to data.frames that can serve as inputs for various
 customer analytics models.

Package: r-cran-cadftest
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 647
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dynlm, r-cran-sandwich, r-cran-tseries, r-cran-urca
Filename: pool/dists/focal/main/r-cran-cadftest_0.3-3-1.ca2004.1_all.deb
Size: 565952
MD5sum: c0492ee833aef1b91a37e0d75be84410
SHA1: 89b912d344102a69a62f11328cc9993d43d07646
SHA256: 2acb831972c5cf5385488d91e269cab5fec4ae27c90fa9759c0348d0e6d420ae
SHA512: 597fb77f3be7b94151886b1536e70bdec6e7519b5579fbdc16a50eb052ed920a0553f3a8e1997b7c6ce13552d2fc0d4009593d47cfbc04f5af4ec698e227ce71
Homepage: https://cran.r-project.org/package=CADFtest
Description: CRAN Package 'CADFtest' (A Package to Perform Covariate Augmented Dickey-Fuller Unit RootTests)
 Hansen's (1995) Covariate-Augmented Dickey-Fuller (CADF) test. The only
 required argument is y, the Tx1 time series to be tested. If no stationary
 covariate X is passed to the procedure, then an ordinary ADF test is
 performed. The p-values of the test are computed using the procedure
 illustrated in Lupi (2009).

Package: r-cran-cadstat
Architecture: all
Version: 3.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1724
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-xml, r-cran-lattice, r-cran-bio.infer, r-cran-gdata, r-cran-gmodels, r-cran-quantreg, r-cran-rpart, r-cran-javagd, r-cran-car, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cadstat_3.0.8-1.ca2004.1_all.deb
Size: 1164812
MD5sum: 392eae9975e30e717e12ad10e54c1d2f
SHA1: 0ce67c283e87d3192b50e0ccfa0d5485b99ee9c8
SHA256: 9829b6275bc2e64a38f68feb928e7f7f70ba9e3537bf9f8e60086a022e0138e5
SHA512: 09a18c9301cf1e66dd8f83b660de0c2acfe6bf94e19f2ee572345084bc1f7b4826ce84e1bb8f3583f2ec43e288ddbdc834055c0c4950becb753d1b7540dda800
Homepage: https://cran.r-project.org/package=CADStat
Description: CRAN Package 'CADStat' (Provides a GUI to Several Statistical Methods)
 Using Java GUI for R (JGR), CADStat provides a user interface for several
 statistical methods - scatterplot, boxplot, linear regression, generalized
 linear regression, quantile regression, conditional probability
 calculations, and regression trees.

Package: r-cran-caesar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-binhf
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-caesar_1.1.0-1.ca2004.1_all.deb
Size: 21056
MD5sum: 293695ad5f9faf28cc70f09312f50211
SHA1: 906028a92a186971150a8b03313c1d04c81f504f
SHA256: 91d363dc9d6522db7e6de369bb1c14db6227e4f94811c75ad838b58970ff90f0
SHA512: 8234edb524b03769b1981f5b189eae780f1c8fed5122038d798d00d21f1970e2fd7ecd8be8a414f82f8af55d74e30afc6228239e3237340318aea56ad4943c39
Homepage: https://cran.r-project.org/package=caesar
Description: CRAN Package 'caesar' (Encrypts and Decrypts Strings)
 Encrypts and decrypts strings using either the Caesar cipher or a
 pseudorandom number generation (using set.seed()) method.

Package: r-cran-caffsim
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2, r-cran-shiny, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-caffsim_0.2.2-1.ca2004.1_all.deb
Size: 157236
MD5sum: 45c0f6be291c3183b0db62507ba8b99a
SHA1: 96029c8915dffafd73dcd2960004c4e953eb27ef
SHA256: 9e23018b8aa7858c784353842d19447be5b3e48fc351a7395bac4e694b10d34f
SHA512: 2c605d1d15bd3c0dbae14998d3367d8519d68f00f023ec9550948ba3910fbf55b9b1a0d6fc1a3b20a46f2ccf27a8e80ecbef43b78dbc688af95ee54fbd7c27c9
Homepage: https://cran.r-project.org/package=caffsim
Description: CRAN Package 'caffsim' (Simulation of Plasma Caffeine Concentrations by Using PopulationPharmacokinetic Model)
 Simulate plasma caffeine concentrations using population pharmacokinetic
 model described in Lee, Kim, Perera, McLachlan and Bae (2015)
 <doi:10.1007/s00431-015-2581-x>.

Package: r-cran-cagr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cagr_1.1.1-1.ca2004.1_all.deb
Size: 22128
MD5sum: 3338d57c9745fbc9c4fd7a6892c88bd1
SHA1: a23f3e78bca796008916e8d62fa787318d5d8d76
SHA256: 153a0fdeb6461cfc423166a1b6a514415dcd04870e1fdad26422a6243547c51d
SHA512: f9db37c7d8b9fda2f1798ba68fa4f5a15653deb71c5cecefb437086183522a5250126add210c45eadf5dc899486e5155d33a7b26e44ee6f7b3c5da57b12d2505
Homepage: https://cran.r-project.org/package=CAGR
Description: CRAN Package 'CAGR' (Compound Annual Growth Rate)
 A time series usually does not have a uniform growth rate. Compound Annual
 Growth Rate measures the average annual growth over a given period. More
 details can be found in Bardhan et al. (2022) <DOI:10.18805/ag.D-5418>.

Package: r-cran-caic4
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-nlme, r-cran-rlrsim, r-cran-mgcv, r-cran-mvtnorm
Suggests: r-cran-gamm4
Filename: pool/dists/focal/main/r-cran-caic4_1.1-1.ca2004.1_all.deb
Size: 237000
MD5sum: fa5e888a0dc1a3fded9876807143a6fc
SHA1: fddac4a2581b342e1db760405d89b31dd2ff1c00
SHA256: 7a298b0d2d0721d90ea84dec5a5e1e998c7cbe3df3122780f00b26aab308442d
SHA512: 551ed5a385a23797072dfa9057d0b02cea21713a5b40622db4dad9599e9e69f7aee430d9e0a0f7876b5b6b16bff0ea9504e241edd6237b0afb6676dcfc7aa71e
Homepage: https://cran.r-project.org/package=cAIC4
Description: CRAN Package 'cAIC4' (Conditional Akaike Information Criterion for 'lme4' and 'nlme')
 Provides functions for the estimation of the conditional Akaike information
 in generalized mixed-effect models fitted with (g)lmer() from 'lme4', lme()
 from 'nlme' and gamm() from 'mgcv'.  For a manual on how to use 'cAIC4', see
 Saefken et al. (2021) <doi:10.18637/jss.v099.i08>.

Package: r-cran-cainterprtools
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ca, r-cran-classint, r-cran-cluster, r-cran-factominer, r-cran-ggplot2, r-cran-ggrepel, r-cran-hmisc, r-cran-rcmdrmisc, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-cainterprtools_1.1.0-1.ca2004.1_all.deb
Size: 167604
MD5sum: 2d913140e4b639f1ce409cce0fdde5ff
SHA1: 8cc90f7668ef1e041646a2407b02faf295324de4
SHA256: 7e44f008326bd617fe9d352d9bd2b81bd8bc5667d66d33208d19f795dc1daba7
SHA512: dfb1f9ecabe610131811cc0b57ac5ce2de655404d31205cc375343f5d01796284cac6e32a3edd78be93b059f746ca74acc576e916dfada96779d14d9dc2714dc
Homepage: https://cran.r-project.org/package=CAinterprTools
Description: CRAN Package 'CAinterprTools' (Graphical Aid in Correspondence Analysis Interpretation andSignificance Testings)
 Allows to plot a number of information related to the interpretation of
 Correspondence Analysis' results. It provides the facility to plot the
 contribution of rows and columns categories to the principal dimensions, the
 quality of points display on selected dimensions, the correlation of row and
 column categories to selected dimensions, etc. It also allows to assess
 which dimension(s) is important for the data structure interpretation by
 means of different statistics and tests. The package also offers the
 facility to plot the permuted distribution of the table total inertia as
 well as of the inertia accounted for by pairs of selected dimensions.
 Different facilities are also provided that aim to produce
 interpretation-oriented scatterplots. Reference: Alberti 2015
 <doi:10.1016/j.softx.2015.07.001>.

Package: r-cran-caiser
Architecture: all
Version: 1.0.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2706
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-pbmcapply, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-smoof, r-cran-knitr, r-cran-rmarkdown, r-cran-car, r-cran-dplyr, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-caiser_1.0.17-1.ca2004.1_all.deb
Size: 786708
MD5sum: aa5d624c087b5cd8b6102f7918bc5666
SHA1: c1d28775be48bb63d073ab73ac183d5cd2d6f95a
SHA256: 33794e828d7fcef6855b2e79fc80b3cfc63774640dd6ca86d9a1dda89268b448
SHA512: 3047b70f0b0d7a08b0e994ca66617986e0a98aed36ce7de8c966d20a5b9b1c008591b88027c738f38614fdb29d81120408d42f9a6448d2b957564a7bfbb172e9
Homepage: https://cran.r-project.org/package=CAISEr
Description: CRAN Package 'CAISEr' (Comparison of Algorithms with Iterative Sample Size Estimation)
 Functions for performing experimental comparisons of algorithms using
 adequate sample sizes for power and accuracy. Implements the methodology
 originally presented in Campelo and Takahashi (2019)
 <doi:10.1007/s10732-018-9396-7> for the comparison of two algorithms, and
 later generalised in Campelo and Wanner (Submitted, 2019)
 <arxiv:1908.01720>.

Package: r-cran-calacs
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-calacs_2.2.2-1.ca2004.1_all.deb
Size: 26224
MD5sum: fe9a18dcdcc39ece9642e251830a5639
SHA1: e12bb8c112ae06c1c0e73fd8775950b1b63294f0
SHA256: b5b933923a124f1e37a768c1b3eac701e4d3308881eda85ca40f2335dbbaa42c
SHA512: fb8cc7113ec1e814feca01b1d6a88937cbe841fd56147b56f22356bb1290ba20bc6760266ae43f813574f58b6b4a6b061aedb6d970887516c0f4cddc7d894cf7
Homepage: https://cran.r-project.org/package=calACS
Description: CRAN Package 'calACS' (Calculations for All Common Subsequences)
 Implements several string comparison algorithms, including calACS (count all
 common subsequences), lenACS (calculate the lengths of all common
 subsequences), and lenLCS (calculate the length of the longest common
 subsequence). Some algorithms differentiate between the more strict
 definition of subsequence, where a common subsequence cannot be separated by
 any other items, from its looser counterpart, where a common subsequence can
 be interrupted by other items. This difference is shown in the suffix of the
 algorithm (-Strict vs -Loose). For example, q-w is a common subsequence of
 q-w-e-r and q-e-w-r on the looser definition, but not on the more strict
 definition. calACSLoose Algorithm from Wang, H. All common subsequences
 (2007) IJCAI International Joint Conference on Artificial Intelligence, pp.
 635-640.

Package: r-cran-calango
Architecture: all
Version: 1.0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-pbmcapply, r-cran-ape, r-cran-rmarkdown, r-cran-nlme, r-cran-biocmanager, r-cran-dendextend, r-cran-heatmaply, r-cran-ggplot2, r-cran-plotly, r-cran-dt, r-cran-htmltools, r-cran-htmlwidgets, r-cran-pkgdown, r-cran-knitr
Suggests: r-bioc-annotationdbi, r-bioc-keggrest, r-bioc-go.db
Filename: pool/dists/focal/main/r-cran-calango_1.0.20-1.ca2004.1_all.deb
Size: 785220
MD5sum: 937f30975be17ee950bd1d01dc9e11cb
SHA1: 3e903620901534aa339aa64daaec4d4ea04b812d
SHA256: 64c4244c8745223ad64ff9d4ba5c1a693a02d1674663d05898fba619b3b33edb
SHA512: f6a0f9c7ca528e40c8eb0d4377c48dc974fe67d7123133c92dbdda06dbfa72321f2b2c3c187c239ca2e30c263568ddc504ae71053dc25afe483563e9ff9d2c50
Homepage: https://cran.r-project.org/package=CALANGO
Description: CRAN Package 'CALANGO' (Comparative Analysis with Annotation-Based Genomic Components)
 A first-principle, phylogeny-aware comparative genomics tool for
 investigating associations between terms used to annotate genomic components
 (e.g., Pfam IDs, Gene Ontology terms,) with quantitative or rank variables
 such as number of cell types, genome size, or density of specific genomic
 elements. See the project website for more information, documentation and
 examples, and <doi:10.1016/j.patter.2023.100728> for the full paper.

Package: r-cran-calcite
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-rlang, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-calcite_0.1.0-1.ca2004.1_all.deb
Size: 474116
MD5sum: 78dae4927ea2fe362787e7cb1b2ec817
SHA1: 003cbd8a38e34300e090b1a498b29f7acf0e7fa9
SHA256: aa84f9c8a7d2927571dcb8fd10d3f2eb8afad1ca7998ec14b724e770a1d1e638
SHA512: 0479898119c81d1b9d37fede7771992c69d50d205533192061a8460f86b0f4a3552ff77d1e3a6450286e8e0cee27a4d37ecba6dc6771b583d1dbffd2d65182c0
Homepage: https://cran.r-project.org/package=calcite
Description: CRAN Package 'calcite' (Bindings to the Calcite Design System 'JavaScript' ComponentLibrary)
 Provides access to the 'Calcite Design System' 'javascript' components via
 integration with the 'htmltools' and 'shiny' packages.  Pre-built and
 interactive components can be used to generate either static html or
 interactive web applications. Learn more about the 'Calcite Design System'
 at <https://developers.arcgis.com/calcite-design-system/>.

Package: r-cran-calcthemall.prm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4839
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-mass, r-cran-vgam, r-cran-plotly, r-cran-zoo, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calcthemall.prm_1.1.1-1.ca2004.1_all.deb
Size: 1269984
MD5sum: 82de9b190bd73c9b4db09bbdc8c620fd
SHA1: 241a903fb7f3a0193ce12d2e88658bcb0b640e53
SHA256: 67a53279a9d22c976f2015f2928e070f48a30acffc17e45d0944afc698a81569
SHA512: 1cdd8212275fea1785bd300a729e2d4af548fb9758ce03cb60f9f335082a2a1bd53ff2bef2b34d4c6871e6cf7b83f13d84de382061adde913ef0f94d72f9aa78
Homepage: https://cran.r-project.org/package=CalcThemAll.PRM
Description: CRAN Package 'CalcThemAll.PRM' (Calculate Pesticide Risk Metric (PRM) Values from MultiplePesticides...Calc Them All)
 Contains functions which can be used to calculate Pesticide Risk Metric
 values in aquatic environments from concentrations of multiple pesticides
 with known species sensitive distributions (SSDs). Pesticides provided by
 this package have all be validated however if the user has their own
 pesticides with SSD values they can append them to the pesticide_info table
 to include them in estimates.

Package: r-cran-calculator.lr.fns
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-calculator.lr.fns_1.3-1.ca2004.1_all.deb
Size: 71300
MD5sum: 3e5f46493870fc715cfcb0c77ef3a08e
SHA1: 1a550f549c261f65061f7b1f3830cfd184375187
SHA256: ae910fb074bf86b963c0c363ac9c103d3341c4e865119c61f8b0548d06c87e25
SHA512: d97ad3dc1b1fa1bb68076251985c0f4b9097bdc686906510e707523208da331041b4beba055e085bf10c88825fef2116afe118f66fa4653dfe2b95663a552324
Homepage: https://cran.r-project.org/package=Calculator.LR.FNs
Description: CRAN Package 'Calculator.LR.FNs' (Calculator for LR Fuzzy Numbers)
 Arithmetic operations scalar multiplication, addition, subtraction,
 multiplication and division of LR fuzzy numbers (which are on the basis of
 extension principle) have a complicate form for using in fuzzy Statistics,
 fuzzy Mathematics, machine learning, fuzzy data analysis and etc. Calculator
 for LR Fuzzy Numbers package relieve and aid applied users to achieve a
 simple and closed form for some complicated operator based on LR fuzzy
 numbers and also the user can easily draw the membership function of the
 obtained result by this package.

Package: r-cran-calcunique
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calcunique_0.1.2-1.ca2004.1_all.deb
Size: 11448
MD5sum: f478126c4ee8322aa1303dfd73d61bcd
SHA1: c42a34b986edd24aaf70424f77acf89793cc09a7
SHA256: cbd20d072872020c433835b10222c7b4f452b2135625df1d8f74aeca857f6416
SHA512: 46e4e34a6f097c05b599b460442c728f17d682e9b352664633ae8453f3a050509441df4c962a1fae88298a9c683f4965a2b3bea0d541b24b894e730513c434dc
Homepage: https://cran.r-project.org/package=calcUnique
Description: CRAN Package 'calcUnique' (Simple Wrapper for Computationally Expensive Functions)
 This is a one-function package that will pass only unique values to a
 computationally-expensive function that returns an output of the same length
 as the input.  In importing and working with tidy data, it is common to have
 index columns, often including time stamps that are far from unique. Some
 functions to work with these such as text conversion to other variable types
 (e.g. as.POSIXct()), various grep()-based functions, and often the cut()
 function are relatively slow when working with tens of millions of rows or
 more.

Package: r-cran-calendar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-lubridate, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calendar_0.2.0-1.ca2004.1_all.deb
Size: 77472
MD5sum: ba496dd03fac4b012ba1c0d2db508830
SHA1: 7047929b48140ec6b7971e3684300749d327b839
SHA256: 2e81d5317b2c3e13ada6fb23f3336e7a56f4688afd6c1ac0678163b5626f9ba4
SHA512: a0716f0b88750a11c03e9a47b069fe6814d66374911a5ed9de7ca2a3a24361c729c681f7898e5b85f3dab355d08295c7e33c6ff78125dc7ba95019b1415d1d27
Homepage: https://cran.r-project.org/package=calendar
Description: CRAN Package 'calendar' (Create, Read, Write, and Work with 'iCalendar' Files, Calendarsand Scheduling Data)
 Provides function to create, read, write, and work with 'iCalendar' files
 (which typically have '.ics' or '.ical' extensions), and the scheduling
 data, calendars and timelines of people, organisations and other entities
 that they represent.  'iCalendar' is an open standard for exchanging
 calendar and scheduling information between users and computers, described
 at <https://icalendar.org/>.

Package: r-cran-calendr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-forcats, r-cran-suncalc, r-cran-ggimage, r-cran-gggibbous
Filename: pool/dists/focal/main/r-cran-calendr_1.2-1.ca2004.1_all.deb
Size: 43584
MD5sum: ec6dee17225012c54dac38daae7a5d89
SHA1: fa9013bfd134697b6a0e3d9be790994d70f43ea8
SHA256: e96c0b7e925ad7a852721cd6b544414b09c5e2034ca0e92ce9af07a056eab91f
SHA512: 59ebeefea958dbd4ce434783e74c732fa1ed694a7f73cc7cb40ab35fe5f5474922a1ae8f4e669395b97c43270a10cb10bbc8d9cfb4ca5c22454e3e5a3e8fb924
Homepage: https://cran.r-project.org/package=calendR
Description: CRAN Package 'calendR' (Ready to Print Monthly and Yearly Calendars Made with 'ggplot2')
 Contains the function calendR() for creating fully customizable monthly and
 yearly calendars (colors, fonts, formats, ...) and even heatmap calendars.
 In addition, it allows saving the calendars in ready to print A4 format PDF
 files.

Package: r-cran-calendrio
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-gggibbous, r-cran-ggimage, r-cran-ggplot2, r-cran-suncalc
Filename: pool/dists/focal/main/r-cran-calendrio_0.2.1-1.ca2004.1_all.deb
Size: 52672
MD5sum: 57f838a6229c854fa50d3784ff673d56
SHA1: 28839a0956efe9dbf24f855a3d41d48e1b7ec096
SHA256: 1f1de40298af3c2ccdbbcd7c33410a0727c04f931cba2ba93124ae6921436912
SHA512: ec7668de0bda5f6e906c6bbc4b7ea5ecd9cb2c277b592bbf1dd1dbd2c2117b53705cac70d4ee0ee522eb32ee0824d87aee1760d71abfe6190e962e59c0e6d556
Homepage: https://cran.r-project.org/package=calendRio
Description: CRAN Package 'calendRio' ('calendR' Fork with Additional Features (Backwards Compatible))
 Fork of 'calendR' R package to generate ready to print calendars with
 'ggplot2' (see <https://r-coder.com/calendar-plot-r/>) with additional
 features (backwards compatible).  'calendRio' provides a 'calendR()'
 function that serves as a drop-in replacement for the upstream version but
 allows for additional parameters unlocking extra functionality.

Package: r-cran-calf
Architecture: all
Version: 1.0.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-calf_1.0.17-1.ca2004.1_all.deb
Size: 112192
MD5sum: e20b580c65b0afbf4d4954e3597b889d
SHA1: 1469bb54d1eaf8ff870affeb966b32a96809167f
SHA256: a5e6f22543a456ab383f83bcda3170622eeee6aae27d7f3cfcb76d2ab21a1bc2
SHA512: 6262b1f643fe80b0e8a390fd10c38592e05f176537cc6907c439045739e0ddba3a09034580a06851fe7c25f20528a0eaebd88d32bef9482eeb513ce981e051a6
Homepage: https://cran.r-project.org/package=CALF
Description: CRAN Package 'CALF' (Coarse Approximation Linear Function)
 Contains greedy algorithms for coarse approximation linear functions.

Package: r-cran-caliberrfimpute
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 736
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mice, r-cran-mvtnorm, r-cran-randomforest
Suggests: r-cran-missforest, r-cran-rpart, r-cran-survival, r-cran-xtable, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-caliberrfimpute_1.0-7-1.ca2004.1_all.deb
Size: 491036
MD5sum: 6f7758d77ce17cf7503cc049e5b190ea
SHA1: 560c6c0d7c5a5fac3e7ec40961251e4e99537639
SHA256: 0ceff1d23de66d7d43d9a751391deea1baad6f99ea723c1d87f2598d204ccb71
SHA512: ad3f33169c4fc7996721baadfd7d507c557a1be24f76db24e86ff410e8a8e80577d4e8c20d99b86cb55aa355c3f6f0e1aa07be85ffb191d236194b48908097fb
Homepage: https://cran.r-project.org/package=CALIBERrfimpute
Description: CRAN Package 'CALIBERrfimpute' (Multiple Imputation Using MICE and Random Forest)
 Functions to impute using random forest under full conditional
 specifications (multivariate imputation by chained equations). The methods
 are described in Shah and others (2014) <doi:10.1093/aje/kwt312>.

Package: r-cran-calibmsm
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2361
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggextra, r-cran-gridextra, r-cran-hmisc, r-cran-mstate, r-cran-rms, r-cran-survival, r-cran-tidyr, r-cran-vgam
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-survminer, r-cran-flexsurv
Filename: pool/dists/focal/main/r-cran-calibmsm_1.1.3-1.ca2004.1_all.deb
Size: 1944296
MD5sum: 793942d9f0e1f2b3936ee681ee70cfaf
SHA1: df1924e75cb8d6c869766debd5dc60183d312e93
SHA256: b2550fa9fd8f57f20d2dc15a459fcdc1480ed9825367663174a3c14b49aeec74
SHA512: d29b21ef7908689a20ea4f7c2ee84e40a5a3b1e26d05119d81c4ceda70165f540fe817a568a4977887abb2de5fad4d4699115f68f8b6e4f15b253d97e2a3c7a1
Homepage: https://cran.r-project.org/package=calibmsm
Description: CRAN Package 'calibmsm' (Calibration Plots for the Transition Probabilities fromMultistate Models)
 Assess the calibration of an existing (i.e. previously developed) multistate
 model through calibration plots.  Calibration is assessed using one of three
 methods. 1) Calibration methods for binary logistic regression models
 applied at a fixed time point in conjunction with inverse probability of
 censoring weights. 2) Calibration methods for multinomial logistic
 regression models applied at a fixed time point in conjunction with inverse
 probability of censoring weights. 3) Pseudo-values estimated using the
 Aalen-Johansen estimator of observed risk. All methods are applied in
 conjunction with landmarking when required. These calibration plots evaluate
 the calibration (in a validation cohort of interest) of the transition
 probabilities estimated from an existing multistate model. While package
 development has focused on multistate models, calibration plots can be
 produced for any model which utilises information post baseline to update
 predictions (e.g. dynamic models); competing risks models; or standard
 single outcome survival models, where predictions can be made at any
 landmark time. Please see Pate et al. (2024) <doi:10.1002/sim.10094> and
 Pate et al. (2024)
 <https://alexpate30.github.io/calibmsm/articles/Overview.html>.

Package: r-cran-calibrar
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bb, r-cran-cmaes, r-cran-deoptim, r-cran-dfoptim, r-cran-gensa, r-cran-minqa, r-cran-optimx, r-cran-foreach, r-cran-lbfgsb3c, r-cran-pso, r-cran-rgenoud, r-cran-soma, r-cran-stringr
Suggests: r-cran-desolve, r-cran-ibm, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calibrar_0.9.0-1.ca2004.1_all.deb
Size: 560924
MD5sum: ec1999449c51a6a1e8d2abeacc634b3f
SHA1: fc73c85921c96be54c73a431f8e2884796da24c2
SHA256: e57d056e7735c850a426dd93017f2cdc7bf14ce563b428afce8ca7b593126729
SHA512: b2680bceb20b0872c3d2d9e7cd3d462273898a7a4828a83ee8a07e682e427837a3172da4b7176488a64f08d764208915e94678287cfa7d17571fe31a46072728
Homepage: https://cran.r-project.org/package=calibrar
Description: CRAN Package 'calibrar' (Automated Parameter Estimation for Complex Models)
 General optimisation and specific tools for the parameter estimation (i.e.
 calibration) of complex models, including stochastic ones. It implements
 generic functions that can be used for fitting any type of models,
 especially those with non-differentiable objective functions, with the same
 syntax as base::optim.  It supports multiple phases estimation (sequential
 parameter masking), constrained optimization (bounding box restrictions) and
 automatic parallel computation of numerical gradients.  Some common maximum
 likelihood estimation methods and automated construction of the objective
 function from simulated model outputs is provided.  See
 <https://roliveros-ramos.github.io/calibrar/> for more details.

Package: r-cran-calibrate
Architecture: all
Version: 1.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-calibrate_1.7.7-1.ca2004.1_all.deb
Size: 351744
MD5sum: 10400b35d340481acbcafdab4811b9b7
SHA1: 756fdb31c75d939f2b97c39b51b71e362a13ea44
SHA256: fecdc7e5215052c2c1db03d09a4daef21a54c1dbe58dcc1f87540e77db15417b
SHA512: 146a908615f7c089a8dbe4647ff9331d257aca088adfaa13e142e477bbbcb0d2818215ed396cdf6b259dc7a3f693441c8ac4e42d339f7d8b3c43bc332aaba0dc
Homepage: https://cran.r-project.org/package=calibrate
Description: CRAN Package 'calibrate' (Calibration of Scatterplot and Biplot Axes)
 Package for drawing calibrated scales with tick marks on (non-orthogonal)
 variable vectors in scatterplots and biplots. Also provides some functions
 for biplot creation and for multivariate analysis such as principal
 coordinate analysis.

Package: r-cran-calibratebinary
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gpfit, r-cran-gelnet, r-cran-kernlab, r-cran-randtoolbox
Filename: pool/dists/focal/main/r-cran-calibratebinary_0.1-1.ca2004.1_all.deb
Size: 36544
MD5sum: 5e73d2ae7cd74604700ade9cc3b2eb82
SHA1: 0cd9fe01c7351d2abb2c7bd263c19e3366e13363
SHA256: f786fe87dcda75c180dfda6ce49f852e659e79dc779cdc372f190a365c60671a
SHA512: c2105d810bea3416eace9918883e41217f934e837f699216988595b9f857a4adfb6454226756440b594330de146291f733410e26585eb2398291da37f8bb0a6f
Homepage: https://cran.r-project.org/package=calibrateBinary
Description: CRAN Package 'calibrateBinary' (Calibration for Computer Experiments with Binary Responses)
 Performs the calibration procedure proposed by Sung et al. (2018+)
 <arXiv:1806.01453>. This calibration method is particularly useful when the
 outputs of both computer and physical experiments are binary and the
 estimation for the calibration parameters is of interest.

Package: r-cran-calibratessb
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survey
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calibratessb_1.3.0-1.ca2004.1_all.deb
Size: 186088
MD5sum: 057434f32b4069a4045880ee537e24fb
SHA1: c347151cdc51c714020e4622348ff349ec3f6c68
SHA256: 5f3c65c91a684d59317c711033246a21d8df57732ee7f4a92297dc318c67f0cc
SHA512: a4a07b2cb0b1654b3a242455210a4b4df6f9ab9a6d1226dc824fb936980a8a52a14dc1995da1be363735ed08070ea986aaa3c56da073f022a3f3b51b2b092349
Homepage: https://cran.r-project.org/package=CalibrateSSB
Description: CRAN Package 'CalibrateSSB' (Weighting and Estimation for Panel Data with Non-Response)
 Functions to calculate weights, estimates of changes and corresponding
 variance estimates for panel data with non-response. Partially overlapping
 samples are handled. Initially, weights are calculated by linear
 calibration. By default, the survey package is used for this purpose. It is
 also possible to use ReGenesees, which can be installed from
 <https://github.com/DiegoZardetto/ReGenesees>. Variances of linear
 combinations (changes and averages) and ratios are calculated from a
 covariance matrix based on residuals according to the calibration model. The
 methodology was presented at the conference, The Use of R in Official
 Statistics, and is described in Langsrud (2016)
 <http://www.revistadestatistica.ro/wp-content/uploads/2016/06/RRS2_2016_A021.pdf>.

Package: r-cran-calibrationcurves
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2253
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-ggplot2, r-cran-survival, r-cran-hmisc, r-cran-bookdown, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mgcv, r-cran-mass, r-cran-magrittr, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-calibrationcurves_2.0.4-1.ca2004.1_all.deb
Size: 1463140
MD5sum: 91c8abf5b6a0381df7762b18cee27bad
SHA1: 83a5eba15cafe883f4b42d6fc52e52d17116f4ef
SHA256: 50b975ad01e91a16528155b651915ba72cda9f6c268d9c944af36fd63312f5c0
SHA512: 125011716dbe5cd89d722c4d52808ae9335cf2e5215a73430a379413f36e9257e8d8704b0c5eebe56b10f662319e675fc2d302d9e9e54fae1ae4d9a4fd0734fc
Homepage: https://cran.r-project.org/package=CalibrationCurves
Description: CRAN Package 'CalibrationCurves' (Calibration Performance)
 Plots calibration curves and computes statistics for assessing calibration
 performance. See De Cock Campo (2023) <doi:10.48550/arXiv.2309.08559> and
 Van Calster et al. (2016) <doi:10.1016/j.jclinepi.2015.12.005>.

Package: r-cran-calibrator
Architecture: all
Version: 1.2-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 729
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emulator, r-cran-mvtnorm, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-calibrator_1.2-8-1.ca2004.1_all.deb
Size: 628904
MD5sum: 92ffbcebd04b712c5987ae65070ae7ad
SHA1: 2e86a61b68daa4668f83c5294bb8f3bcf0545c3b
SHA256: 8999565f41de53bf45f41bb034c1d8acf8a4cad7933c747631b87eb8199e7b49
SHA512: 3bb5541b4355a9fb2d8518379c458511c62b8635c02ddeea4c3cc5f4f0240f5ee3e5a561a74fa640b2dda114f188ebbb0f88a58bedc96791fe1ba840c2515bea
Homepage: https://cran.r-project.org/package=calibrator
Description: CRAN Package 'calibrator' (Bayesian Calibration of Complex Computer Codes)
 Performs Bayesian calibration of computer models as per Kennedy and O'Hagan
 2001.  The package includes routines to find the hyperparameters and
 parameters; see the help page for stage1() for a worked example using the
 toy dataset.  A tutorial is provided in the calex.Rnw vignette; and a suite
 of especially simple one dimensional examples appears in inst/doc/one.dim/.

Package: r-cran-calibratr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-proc, r-cran-reshape2, r-cran-foreach, r-cran-fitdistrplus, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-calibratr_0.1.2-1.ca2004.1_all.deb
Size: 245348
MD5sum: e6db89ea872ca48c571f8baa7d18414a
SHA1: 6f13e53a1771adc34ec654b2bc41e25ffaf94cee
SHA256: 2e85f6684fe1795d2c1af39cc1b4c6b586c9f4257bcf92bb323e377432072a23
SHA512: ae36e164e40fe81c8350aee6ab51944ddcc33a700130a1fa766a293b08a8197baa2e92866dd9a3e4da46922fd327add7ea2431b498556fd52519ee36efb376f2
Homepage: https://cran.r-project.org/package=CalibratR
Description: CRAN Package 'CalibratR' (Mapping ML Scores to Calibrated Predictions)
 Transforms your uncalibrated Machine Learning scores to well-calibrated
 prediction estimates that can be interpreted as probability estimates. The
 implemented BBQ (Bayes Binning in Quantiles) model is taken from Naeini
 (2015, ISBN:0-262-51129-0). Please cite this paper: Schwarz J and Heider D,
 Bioinformatics 2019, 35(14):2458-2465.

Package: r-cran-calidad
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4624
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-purrr, r-cran-survey, r-cran-kableextra, r-cran-stringr, r-cran-haven
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-srvyr
Filename: pool/dists/focal/main/r-cran-calidad_0.8.1-1.ca2004.1_all.deb
Size: 4573428
MD5sum: 226a356c5956fda30965558c01dd370a
SHA1: cb135730e7380f55c2812a34a04794aa80b51b7c
SHA256: ff6996afe61334195107771f1fa25b5c4e2a0641b7953d186eaebb790c7dcac6
SHA512: d53d1e1b26f220d5893f65b12cbb4cc6f96c49654326a5afb0921691fb0b9d37ddb320151ca27d00ff5e1ab46e5f34cbc51306b959fb5be08317dd292124cd74
Homepage: https://cran.r-project.org/package=calidad
Description: CRAN Package 'calidad' (Assesses the Quality of Estimates Made by Complex Sample Designs)
 Assesses the quality of estimates made by complex sample designs, following
 the methodology developed by the National Institute of Statistics Chile
 (Household Survey Standard 2020,
 <https://www.ine.cl/docs/default-source/institucionalidad/buenas-pr%C3%A1cticas/clasificaciones-y-estandares/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-publicaci%C3%B3n-27022020.pdf>),
 (Economics Survey Standard 2024,
 <https://www.ine.gob.cl/docs/default-source/buenas-practicas/directrices-metodologicas/estandares/documentos/est%C3%A1ndar-evaluaci%C3%B3n-de-calidad-de-estimaciones-econ%C3%B3micas.pdf?sfvrsn=201fbeb9_2>)
 and by Economic Commission for Latin America and Caribbean (2020,
 <https://repositorio.cepal.org/bitstream/handle/11362/45681/1/S2000293_es.pdf>),
 (2024,
 <https://repositorio.cepal.org/server/api/core/bitstreams/f04569e6-4f38-42e7-a32b-e0b298e0ab9c/content>).

Package: r-cran-callback
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-callback_0.1.3-1.ca2004.1_all.deb
Size: 315872
MD5sum: 1846d8214167724aa27c994b3931a1c7
SHA1: 5cfe08e7eacc1a6f441bfcf8ca51a690d07ef8a0
SHA256: 35d663c3174cd93cdef8dac0d462254fc151bfa74b0f5b228933efed647344fb
SHA512: 73ca581e3fffdd9876fee240a1f35f91916e93e1f86f18cd5b9a950fa51de4d279448c46e93612cd229e41084cf5cff59193690e6e65f9144017896bda830520
Homepage: https://cran.r-project.org/package=callback
Description: CRAN Package 'callback' (Computes Statistics from Discrimination Experimental Data)
 In discrimination experiments candidates are sent on the same test (e.g.
 job, house rental) and one examines whether they receive the same outcome.
 The number of non negative answers are first examined in details looking for
 outcome differences. Then various statistics are computed. This package can
 also be used for analyzing the results from random experiments.

Package: r-cran-calleshotgun
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calleshotgun_0.2.0-1.ca2004.1_all.deb
Size: 47764
MD5sum: 2b701b4dc85476c092f8c1e517a417d5
SHA1: a9dc4ab8c56fa59224341dbe0df7f4b5183130df
SHA256: eed3ddd47d0fe213b41ab7cc46fb8a7d9f357fef41864d02d2d50fec6f9a8f8c
SHA512: f6c4a8c5b616d938d8fa91673f9ffd8131ae87e5254c672b3f7ba570bf92dfa9323446a18b472e038c3aabf61ed82d1992b43da5030cb775eabd7cfdc6d71321
Homepage: https://cran.r-project.org/package=CallEshotgun
Description: CRAN Package 'CallEshotgun' (Providing an Interface to the e-Shotgun Algorithm for BayesianOptimization)
 A set of tools for the usage of the e-shotgun algorithm for Bayesian
 optimization.  The e-shotgun was originally developed by "George De Ath,
 Richard M. Everson, Jonathan E. Fieldsend, and Alma A. M. Rahat. 2020.
 e-shotgun : e-greedy Batch Bayesian Optimisation. In Genetic and
 Evolutionary Computation Conference (GECCO ’20), July 8–12, 2020, Cancún,
 Mexico.  ACM, New York, NY, USA, 9 pages." <doi:10.1145/3377930.3390154>.

Package: r-cran-callme
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-callme_0.1.11-1.ca2004.1_all.deb
Size: 46932
MD5sum: 63b96307ce69195548b712344a3653f2
SHA1: d44f018f99dcdf9036b0a6ee55623726a6cbd495
SHA256: 8ff05d302d446c2e9388bf12d554b713baaf62b19e52e89af73458cac22404f9
SHA512: e2b8234fda103c2fa5a5f2ed6342f86457a345bf65f0af396914e3552ac3c03f7f19f48b46f0a5a107effe88baa248340cf414432c30307d6aed5d23b56cc03b
Homepage: https://cran.r-project.org/package=callme
Description: CRAN Package 'callme' (Easily Compile and Call Inline 'C' Functions)
 Compile inline 'C' code and easily call with automatically generated wrapper
 functions.  By allowing user-defined headers and compilation flags
 (preprocessor, compiler and linking flags) the user can configure
 optimization options and linking to third party libraries. Multiple
 functions may be defined in a single block of code - which may be defined in
 a string or a path to a source file.

Package: r-cran-callr
Architecture: all
Version: 3.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-processx, r-cran-r6
Suggests: r-cran-asciicast, r-cran-cli, r-cran-mockery, r-cran-ps, r-cran-rprojroot, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-callr_3.7.6-1.ca2004.1_all.deb
Size: 414208
MD5sum: 270397c58c2e690abc681bc1093e080d
SHA1: 5100433797f7e29e1d20332904a38af37639bb8b
SHA256: 25e66cf74cad58aa2e397d32515a7de8161fa71d813070a007cf0467295ddd2b
SHA512: 67828a4c5caffa31ebd2f868f192ffea85f6d26634f187ae9d0ed0fddc08d8c28d2706f5a7c8c4530385912177cb1b532f65ea1ba4d4da0e754b70dc82875bff
Homepage: https://cran.r-project.org/package=callr
Description: CRAN Package 'callr' (Call R from R)
 It is sometimes useful to perform a computation in a separate R process,
 without affecting the current R process at all.  This packages does exactly
 that.

Package: r-cran-callsync
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-oce, r-cran-seewave, r-cran-signal, r-cran-stringr, r-cran-tuner, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-callsync_0.2.3-1.ca2004.1_all.deb
Size: 162364
MD5sum: 88cb586603929be19fd603b09d49413f
SHA1: da37c1d3eb81b6ea694d1298ba3706c9066e188c
SHA256: 8749ace34f52203a7ffb3b437734b00b3337276b0fa63517383145885ce831af
SHA512: 816f1471c91ecaceff3d387824cf6ee2c9359b9bae2d9e37c6ebb9f0175b00dc00749a960897e5d29617ca626d073c5176bdb3aa979f1b261c743bbb7b161f8e
Homepage: https://cran.r-project.org/package=callsync
Description: CRAN Package 'callsync' (Recording Synchronisation, Call Detection and Assignment, AudioAnalysis)
 Intended to analyse recordings from multiple microphones (e.g., backpack
 microphones in captive setting). It allows users to align recordings even if
 there is non-linear drift of several minutes between them. A call detection
 and assignment pipeline can be used to find vocalisations and assign them to
 the vocalising individuals (even if the vocalisation is picked up on
 multiple microphones). The tracing and measurement functions allow for
 detailed analysis of the vocalisations and filtering of noise. Finally, the
 package includes a function to run spectrographic cross correlation, which
 can be used to compare vocalisations. It also includes multiple other
 functions related to analysis of vocal behaviour.

Package: r-cran-calmate
Architecture: all
Version: 0.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils, r-cran-aroma.core, r-cran-mass, r-cran-r.methodss3, r-cran-r.oo, r-cran-matrixstats, r-cran-r.filesets
Suggests: r-bioc-dnacopy
Filename: pool/dists/focal/main/r-cran-calmate_0.13.0-1.ca2004.1_all.deb
Size: 203672
MD5sum: e365c6502fddbde91819b2b71c4f3602
SHA1: fd1990f6158ec21aead4db8b879ed556ac22dc46
SHA256: a9235ae05d24e47fe177980518254093144e43c73a48ab595e2323246f595c74
SHA512: 6cc2299734415095ab499cd6b44ed1c778e47ed12ff2978e23b746543b6bbeabbb21f85a74be8f1f8d337c54928ae0f6d090dfec46470403a0621ca1d7a74126
Homepage: https://cran.r-project.org/package=calmate
Description: CRAN Package 'calmate' (Improved Allele-Specific Copy Number of SNP Microarrays forDownstream Segmentation)
 The CalMaTe method calibrates preprocessed allele-specific copy number
 estimates (ASCNs) from DNA microarrays by controlling for single-nucleotide
 polymorphism-specific allelic crosstalk. The resulting ASCNs are on average
 more accurate, which increases the power of segmentation methods for
 detecting changes between copy number states in tumor studies including copy
 neutral loss of heterozygosity. CalMaTe applies to any ASCNs regardless of
 preprocessing method and microarray technology, e.g. Affymetrix and
 Illumina.

Package: r-cran-calmr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2919
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-future, r-cran-future.apply, r-cran-ga, r-cran-ggnetwork, r-cran-ggplot2, r-cran-lifecycle, r-cran-network, r-cran-patchwork, r-cran-progressr, r-cran-rlang
Suggests: r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-calmr_0.7.0-1.ca2004.1_all.deb
Size: 1609672
MD5sum: 269ed40c716f34856b864424a30135ee
SHA1: c010e48212a26952a373a2ba0f9eae1a533d5b3a
SHA256: d73d7df6d6b20a52fea259d60cf5de66e95a4c2abd02d49ccc9157528e4781c7
SHA512: d6c170fb134c4eda17f804d3c92615895d5c310ef8467a21f4566bc74caad2a80f745f01a0851a266f61994667eabb199bd0b3cca9fce3da6db5dc5d8f5ff33c
Homepage: https://cran.r-project.org/package=calmr
Description: CRAN Package 'calmr' (Canonical Associative Learning Models and their Representations)
 Implementations of canonical associative learning models, with tools to run
 experiment simulations, estimate model parameters, and compare model
 representations. Experiments and results are represented using S4 classes
 and methods.

Package: r-cran-calpassapi
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-digest, r-cran-jsonlite, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-calpassapi_0.0.3-1.ca2004.1_all.deb
Size: 35956
MD5sum: b18f78ec7bcf25b6d0546f9df8df7203
SHA1: bed09845afca37254ea658de6455e8a4249e12b1
SHA256: 88412b4d5dda70d9cfa7b0f7fae85f5a7a8433a327d40b829f30d8368c535632
SHA512: f7880d90fd1a509c32eca42f450eb8bf355df79293661a2f445734c56db91be940c9eb88a740b908b6339526a9854dc34d50461ea3767c56f143652f6193666e
Homepage: https://cran.r-project.org/package=calpassapi
Description: CRAN Package 'calpassapi' (R Interface to Access CalPASS API)
 Implements methods for querying data from CalPASS using its API.  CalPASS
 Plus.  MMAP API V1. <https://mmap.calpassplus.org/docs/index.html>.

Package: r-cran-camcorder
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1991
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gifski, r-cran-magick, r-cran-rsvg, r-cran-jsonlite, r-cran-rlang, r-cran-svglite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ragg, r-cran-covr, r-cran-testthat, r-cran-patchwork, r-cran-withr, r-cran-dplyr, r-cran-systemfonts, r-cran-scales, r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-camcorder_0.1.0-1.ca2004.1_all.deb
Size: 1419572
MD5sum: 3962ae501f9bfa577ed99ff02799bbad
SHA1: 7a021eebd9bdcdad2717a7c2e40011ed018358b9
SHA256: 88b0fe797ece409ff38b3c3f67dd7752a8312d5231240c587ce419f237f46894
SHA512: d2dfc5d9135a63bb2b9a0dab799665ace310cd47a6396f554130a85b36d403dff1d4b870b627e848b9ba4ae49b0381781547c4a111f014bd883bc5496d341dd6
Homepage: https://cran.r-project.org/package=camcorder
Description: CRAN Package 'camcorder' (Record Your Plot History)
 Record and generate a 'gif' of your 'R' sessions plots. When creating a
 visualization, there is inevitably iteration and refinement that occurs.
 Automatically save the plots made to a specified directory, previewing them
 as they would be saved. Then combine all plots generated into a 'gif' to
 show the plot refinement over time.

Package: r-cran-camerondata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1366
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-camerondata_1.0.0-1.ca2004.1_all.deb
Size: 1322508
MD5sum: 9f3af453370a53e6f4f641bf59f44f5d
SHA1: 58c18d5c023867f57465ca6949a1ebee690d3613
SHA256: a7b0cf72fa3c6a6715bf22e9dada7ae882bd8e02003bd0ded4bf91ffe0a805b9
SHA512: 9fe17a0586ccf5ab20e093a2aa64f0c9696b1cf476958e28e8b172dc9a904bef9f39aae552149934a54127be8976f4b8531ffa4d27f7fc45810d25b94acd22c7
Homepage: https://cran.r-project.org/package=camerondata
Description: CRAN Package 'camerondata' (Datasets from "Microeconometrics: Methods and Applications" byCameron and Trivedi)
 Quick and easy access to datasets that let you replicate the empirical
 examples in Cameron and Trivedi (2005) "Microeconometrics: Methods and
 Applications" (ISBN: 9780521848053).The data are available as soon as you
 install and load the package (lazy-loading) as data frames. The
 documentation includes reference to chapter sections and page numbers where
 the datasets are used.

Package: r-cran-camml
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 816
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vam, r-cran-seurat, r-cran-mass, r-cran-matrix, r-cran-biocmanager, r-bioc-org.hs.eg.db, r-bioc-org.dr.eg.db, r-bioc-org.mm.eg.db, r-bioc-annotationdbi, r-cran-seuratobject, r-bioc-edger
Suggests: r-cran-sctransform
Filename: pool/dists/focal/main/r-cran-camml_1.0.0-1.ca2004.1_all.deb
Size: 643420
MD5sum: 8ec372a21a43ed149a63d6031c733991
SHA1: 785add7b0ee0366495f87385a50e4e51b71f9321
SHA256: e9d8577c6ec294fa10c829137b8833c29b10433778439cbe66146dd87d545478
SHA512: 56ac67c2a8406126590a0957e679cb3a2baf02b7263b094b882c9ba4bcddac2ba51d96a57e88bc3a352f7d58de6925d65de62be1247c5a24facc3313b1d3a612
Homepage: https://cran.r-project.org/package=CAMML
Description: CRAN Package 'CAMML' (Cell-Typing using Variance Adjusted Mahalanobis Distances withMulti-Labeling)
 Creates multi-label cell-types for single-cell RNA-sequencing data based on
 weighted VAM scoring of cell-type specific gene sets. Schiebout, Frost
 (2022)
 <https://psb.stanford.edu/psb-online/proceedings/psb22/schiebout.pdf>.

Package: r-cran-campaignmanager
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-campaignmanager_0.1.0-1.ca2004.1_all.deb
Size: 22168
MD5sum: 8ef0306028a12f88e5feae8c52a9715e
SHA1: 73fa6a64867d0fe47302c6f810b561b56aa084da
SHA256: 6d14488fe5f3735f3b658e497fffb433b4818798283f05d679f8dee4923aa4d2
SHA512: f578ba2bb53743f1ee46104414bfeb8e02c5a391b1d4db049f8d23164c5aaa1665af5399da5247a4051db78d880c0eaea64ea313f4e895668ecb1a56413109a9
Homepage: https://cran.r-project.org/package=campaignmanageR
Description: CRAN Package 'campaignmanageR' (Connect to Campaign Manager via the 'Windsor.ai' API)
 Collect marketing data from Campaign Manager using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.

Package: r-cran-campfin
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-stringdist, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-campfin_1.0.11-1.ca2004.1_all.deb
Size: 714212
MD5sum: 308dc5c2a3d34c9db373d92db775430c
SHA1: c1174ecf0ef0cc66811a799471eeea9cb2f8e8d9
SHA256: 1dd08a9ae88f776c3d47aa8602eadd6240443762b6b8f50f8fcad66a09dd8e24
SHA512: 731cfdc1eec1eb7d82d2e258572f6d72f9d891bd890148bf955ddb606cd795c8fbd4fdefd10012a720efc649d41ff20f691361a8dfd14cdab351a2e42a3d4c50
Homepage: https://cran.r-project.org/package=campfin
Description: CRAN Package 'campfin' (Wrangle Campaign Finance Data)
 Explore and normalize American campaign finance data. Created by the
 Investigative Reporting Workshop to facilitate work on The Accountability
 Project, an effort to collect public data into a central, standard database
 that is more easily searched: <https://publicaccountability.org/>.

Package: r-cran-campsis
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1350
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-campsismod, r-cran-assertthat, r-cran-digest, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-mass, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-bookdown, r-cran-devtools, r-cran-gridextra, r-cran-knitr, r-cran-mrgsolve, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rxode2, r-cran-stringr, r-cran-testthat, r-cran-tictoc, r-cran-vdiffr, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-campsis_1.7.0-1.ca2004.1_all.deb
Size: 921744
MD5sum: 7d3ec3af55d5380183638d8e38c5a96b
SHA1: 079727e2f34ca603801c7fb5f1938d491f254092
SHA256: 096606a9c8f38e3b84e1db816b9056fcbe958a18352f63e839c7378ca3856115
SHA512: 6611e75689dfe1575c99cdefc3b112e50a7752d9bee9af5f69d7738c28c8abfb4eb6111273a412e9af349a7f89b18b9f80db39780c8730a2b10776af2075e387
Homepage: https://cran.r-project.org/package=campsis
Description: CRAN Package 'campsis' (Generic PK/PD Simulation Platform CAMPSIS)
 A generic, easy-to-use and intuitive pharmacokinetic/pharmacodynamic (PK/PD)
 simulation platform based on R packages 'rxode2' and 'mrgsolve'. CAMPSIS
 provides an abstraction layer over the underlying processes of writing a
 PK/PD model, assembling a custom dataset and running a simulation. CAMPSIS
 has a strong dependency to the R package 'campsismod', which allows to
 read/write a model from/to files and adapt it further on the fly in the R
 environment. Package 'campsis' allows the user to assemble a dataset in an
 intuitive manner. Once the user’s dataset is ready, the package is in charge
 of preparing the simulation, calling 'rxode2' or 'mrgsolve' (at the user's
 choice) and returning the results, for the given model, dataset and desired
 simulation settings.

Package: r-cran-campsismod
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-ggplot2, r-cran-laplacesdemon, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-campsismod_1.2.2-1.ca2004.1_all.deb
Size: 1016392
MD5sum: f06f3aeb660a7399d4264748ecd29c62
SHA1: 0da859ebd9cb4f2dd293cb569050f03a7c947db7
SHA256: db2794a1feaef255381698481fa2e1f709d6917571b454034f13b4f6ac307f1e
SHA512: bee63b1043545468460cfde05cb0b8a8c1f75ab1c9d27782ddeb15bed7fa1dc26124fedd78e13b5f2bca663dae63b97e6c21746f3b0c5bb5f1b43b66138f3d7a
Homepage: https://cran.r-project.org/package=campsismod
Description: CRAN Package 'campsismod' (Generic Implementation of a PK/PD Model)
 A generic, easy-to-use and expandable implementation of a pharmacokinetic
 (PK) / pharmacodynamic (PD) model based on the S4 class system. This package
 allows the user to read/write a pharmacometric model from/to files and adapt
 it further on the fly in the R environment. For this purpose, this package
 provides an intuitive API to add, modify or delete equations, ordinary
 differential equations (ODE's), model parameters or compartment properties
 (like infusion duration or rate, bioavailability and initial values).
 Finally, this package also provides a useful export of the model for use
 with simulation packages 'rxode2' and 'mrgsolve'.  This package is designed
 and intended to be used with package 'campsis', a PK/PD simulation platform
 built on top of 'rxode2' and 'mrgsolve'.

Package: r-cran-camsrad
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2
Suggests: r-cran-ncdf4, r-cran-roxygen2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-camsrad_0.3.0-1.ca2004.1_all.deb
Size: 31872
MD5sum: bf86bd741222ba6217b8d7434edabebe
SHA1: 980372689ef821cddc08807e49a25a4f30516188
SHA256: b82527f9a1cfda62ec38a2fd16f69ec7450e7436b5d21dc5498bca4343da0144
SHA512: 8747093b33cb486e038435c0c96c25fca302808344b37a94bb1be4d266c682f57e16237934ce3ae4c2327a2921339e00404c34473b48c414fe9c901956dd0ade
Homepage: https://cran.r-project.org/package=camsRad
Description: CRAN Package 'camsRad' (Client for CAMS Radiation Service)
 Copernicus Atmosphere Monitoring Service (CAMS) radiations service provides
 time series of global, direct, and diffuse irradiations on horizontal
 surface, and direct irradiation on normal plane for the actual weather
 conditions as well as for clear-sky conditions.  The geographical coverage
 is the field-of-view of the Meteosat satellite, roughly speaking Europe,
 Africa, Atlantic Ocean, Middle East. The time coverage of data is from
 2004-02-01 up to 2 days ago. Data are available with a time step ranging
 from 15 min to 1 month. For license terms and to create an account, please
 see <http://www.soda-pro.com/web-services/radiation/cams-radiation-service>.

Package: r-cran-camst
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-catr, r-cran-mstr, r-cran-diagram
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-camst_0.1.6-1.ca2004.1_all.deb
Size: 199968
MD5sum: a085aa4763b02f810d1656eb9db38307
SHA1: 4b677faf4725a1fc3d89be64938310978aab464c
SHA256: af7e8a34e9990641b36e44f346718450466093f7b61b074b0a79e675d28011f3
SHA512: be12f53ad994df69885d2464e28db93b0b3e2fc42cb0fb08dcf662b2677ed737f978043eadfc8ac56d9b78d64955570db245814bd6c0da44bc48665b500c901b
Homepage: https://cran.r-project.org/package=caMST
Description: CRAN Package 'caMST' (Mixed Computerized Adaptive Multistage Testing)
 Provides functions to more easily analyze computerized adaptive tests.
 Currently, functions for computerized adaptive tests (CAT), computer
 adaptive multistage tests (CMT), and mixed computer adaptive multistage
 tests (McaMST) utilizing CAT item-level adaptation for the initial stage and
 traditional MST module-level adaptation for the subsequent stages have been
 created, and a variation of Hybrid computer adaptive MST is planned as well.
 For an in-depth look at CAT and MST, see Weiss & Kingsbury (1984)
 <doi:10.1111/j.1745-3984.1984.tb01040.x> and Luecht & Nungester (2000)
 <doi:10.1007/0-306-47531-6_6> respectively.

Package: r-cran-camtrapdp
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-eml, r-cran-frictionless, r-cran-memoise, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-uuid
Suggests: r-cran-jsonlite, r-cran-lubridate, r-cran-testthat, r-cran-tibble, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-camtrapdp_0.4.0-1.ca2004.1_all.deb
Size: 198416
MD5sum: 60e0650795b465287095d1a66f0587f9
SHA1: 45727baefa58f79f34f39e412c9cbc6e225a49a1
SHA256: d0152dd5cceb7b0e6bc71dee3d9f45207b95d658d1f58315e4c953c9fb3412e4
SHA512: 55bb9d3d1793b12bca1200899cdfc09cdd20a75f586ff7d745f9491431dd74501bf755cc88d9f6fa36ee531a18295f33435d75a1e0ee3c74b6dbfae9e4fcdc69
Homepage: https://cran.r-project.org/package=camtrapdp
Description: CRAN Package 'camtrapdp' (Read and Manipulate Camera Trap Data Packages)
 Read and manipulate Camera Trap Data Packages ('Camtrap DP').  'Camtrap DP'
 (<https://camtrap-dp.tdwg.org>) is a data exchange format for camera trap
 data. With 'camtrapdp' you can read, filter and transform data (including to
 Darwin Core) before further analysis in e.g. 'camtraptor' or 'camtrapR'.

Package: r-cran-camtrapr
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-generics, r-cran-ggplot2, r-cran-lubridate, r-cran-secr, r-cran-sf
Suggests: r-cran-abind, r-cran-coda, r-cran-dt, r-cran-knitr, r-cran-lattice, r-cran-leaflet, r-cran-magick, r-cran-mapview, r-cran-nimble, r-cran-nimbleecology, r-cran-overlap, r-cran-plotly, r-cran-reshape2, r-cran-rjags, r-cran-r.rsp, r-cran-rsqlite, r-cran-ritis, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard, r-cran-tesseract, r-cran-taxize, r-cran-terra, r-cran-testthat, r-cran-tibble, r-cran-units, r-cran-unmarked, r-cran-zip
Filename: pool/dists/focal/main/r-cran-camtrapr_2.3.0-1.ca2004.1_all.deb
Size: 3784800
MD5sum: ed1b7e1022ebf52fcf8e85d1d02291f1
SHA1: cf133a4e1c8ab7c8244cc7490fb6939a2d9e126d
SHA256: ec39714167e41ea7b73f41b41e015336d8647f569fc229be434a7fc02eb4fbe1
SHA512: 7fb849689967ad3819c5a35190a3916e6f0f0e5645ea64de14ec769980228aa3ebe37e463a711b121c735faf67d0925869b26cbdb60c5fc749b477cc40c5e492
Homepage: https://cran.r-project.org/package=camtrapR
Description: CRAN Package 'camtrapR' (Camera Trap Data Management and Preparation of Occupancy andSpatial Capture-Recapture Analyses)
 Management of and data extraction from camera trap data in wildlife studies.
 The package provides a workflow for storing and sorting camera trap photos
 (and videos), tabulates records of species and individuals, and creates
 detection/non-detection matrices for occupancy and spatial capture-recapture
 analyses with great flexibility. In addition, it can visualise species
 activity data and provides simple mapping functions with GIS export.

Package: r-cran-canadacovid
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-magrittr, r-cran-dplyr, r-cran-tidyselect, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-purrr, r-cran-tidyr, r-cran-lubridate
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-canadacovid_0.3.4-1.ca2004.1_all.deb
Size: 62960
MD5sum: 53956bf54e95649b1c801c008e4ece07
SHA1: 56c6c14c141dc612c778ffc2d233f75872e9854d
SHA256: a957be3f0b312679d64e7b6de376fbfc41937eb1acd81740651c665d146f0048
SHA512: 460ed57ba2e9367abea6654babf2d638a4e9e64fe158db5f0367f0ca19b5d03bcc6ea3b448ac9c25908ddbf0a8a41ca22c0bdbd1c06936a50473671b690739fd
Homepage: https://cran.r-project.org/package=canadacovid
Description: CRAN Package 'canadacovid' (API Wrapper for the Canadian COVID-19 Tracker)
 Provides R functions to GET data from the Canadian COVID-19 tracker API
 <https://api.covid19tracker.ca>.

Package: r-cran-canadamaps
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4039
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-rmapshaper, r-cran-dplyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-canadamaps_0.1-1.ca2004.1_all.deb
Size: 4096060
MD5sum: a8290870cf66a96d846798e9b875ec0f
SHA1: 704aa4a1115b790450b14b1d95bdc93de889dac5
SHA256: 228e93321cf31fc65a5ecd74b79e3046e6c6dbe44641042966520838e3b8346b
SHA512: 47324b6d063e09385e3cf429218209e3e364ed957347a494b3fa4e61b3dd575838a3ba2b65609d401f3bfd10ceb360ddd3f5271f8876c4077ce8c7ae35ce5451
Homepage: https://cran.r-project.org/package=canadamaps
Description: CRAN Package 'canadamaps' (Maps of the Political and Administrative Divisions of Canada)
 Terrestrial maps with simplified topologies for Census Divisions,
 Agricultural Regions, Economic Regions, Federal Electoral Divisions and
 Provinces.

Package: r-cran-canadianmaps
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-sp, r-cran-sf, r-cran-ggrepel, r-cran-rcolorbrewer, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-canadianmaps_2.0.0-1.ca2004.1_all.deb
Size: 4179432
MD5sum: 2d57c54eb848d1aa5dd1cabc82981664
SHA1: a9b40dd79cab6bdf6369ff460123782e6ecca478
SHA256: 5a21d51321374eb1a880614ea745de2c2593da2438611ad3c434ecb356bc3931
SHA512: 077388e8cfefde68592061d40b161073433a736087cf9867c8bd031af4164d69acb7a2adf6255dc530bd889eb88453e10dca642c65582dc895a6433610a296c5
Homepage: https://cran.r-project.org/package=canadianmaps
Description: CRAN Package 'canadianmaps' (Effortlessly Create Stunning Canadian Maps)
 Simple and seamless access to a variety of 'StatCan' shapefiles for mapping
 Canadian provinces, regions, forward sortation areas, census divisions, and
 subdivisions using the popular 'ggplot2' package.

Package: r-cran-canaper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-assertr, r-cran-assertthat, r-cran-dplyr, r-cran-future.apply, r-cran-phyloregion, r-cran-progressr, r-cran-purrr, r-cran-tibble, r-cran-vegan
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-future, r-cran-tictoc, r-cran-patchwork, r-cran-testthat, r-cran-stringr, r-cran-magrittr, r-cran-covr, r-cran-picante, r-cran-withr, r-cran-fs, r-cran-readr, r-cran-usethis, r-cran-scales, r-cran-colorblindness
Filename: pool/dists/focal/main/r-cran-canaper_1.0.1-1.ca2004.1_all.deb
Size: 533044
MD5sum: 94579e6ac0c6d9dade57a50db5fc243d
SHA1: 3dbfe3c0eb150ed95bba589ecb07b9b913d34160
SHA256: 7dfb55f11b710dcf47f2e178d1412c4ea2479692050c25aab71c724871908448
SHA512: f1eefbaffde225c7a4a49ad8c763fcb1bfd0ee2c4ec50a913b117e11e1e5ffc6ee0f62d8a1cfbe67eeed07e3fd8e31dc7ef72924707ce44efd41f742fbffb419
Homepage: https://cran.r-project.org/package=canaper
Description: CRAN Package 'canaper' (Categorical Analysis of Neo- And Paleo-Endemism)
 Provides functions to analyze the spatial distribution of biodiversity, in
 particular categorical analysis of neo- and paleo-endemism (CANAPE) as
 described in Mishler et al (2014) <doi:10.1038/ncomms5473>.  'canaper'
 conducts statistical tests to determine the types of endemism that occur in
 a study area while accounting for the evolutionary relationships of species.

Package: r-cran-cancensus
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2040
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-leaflet, r-cran-mapdeck, r-cran-rmarkdown, r-cran-readr, r-cran-scales, r-cran-sp, r-cran-sf, r-cran-geojsonsf, r-cran-tidyr, r-cran-lwgeom, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-cancensus_0.5.7-1.ca2004.1_all.deb
Size: 989256
MD5sum: 586c31b5baefc031b6b71814043769e7
SHA1: 8438b895ef195b6bc9cde0ab11210eb8009904af
SHA256: 3bf9d83e86ff204b6745e7be62623aed1e347b2a6b8aa01a499349db685394d3
SHA512: d549466e3174210ba342467af4edb760a195fa94a64688b4dbe3e54f7f27fa09b56cc99cff70b7529208232f1cda48ceb70c3f133328e051e5a2b179e470518e
Homepage: https://cran.r-project.org/package=cancensus
Description: CRAN Package 'cancensus' (Access, Retrieve, and Work with Canadian Census Data andGeography)
 Integrated, convenient, and uniform access to Canadian Census data and
 geography retrieved using the 'CensusMapper' API. This package produces
 analysis-ready tidy data frames and spatial data in multiple formats, as
 well as convenience functions for working with Census variables, variable
 hierarchies, and region selection. API keys are freely available with free
 registration at <https://censusmapper.ca/api>.  Census data and boundary
 geometries are reproduced and distributed on an "as is" basis with the
 permission of Statistics Canada (Statistics Canada 2001; 2006; 2011; 2016;
 2021).

Package: r-cran-cancerevolutionvisualization
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gridextra, r-cran-gtable, r-cran-plyr, r-cran-stringr, r-cran-boutroslab.plotting.general
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cancerevolutionvisualization_2.0.1-1.ca2004.1_all.deb
Size: 268896
MD5sum: a6055720d1fafcf2c85513d8f5a8b20a
SHA1: 4b1ef32e57b70fcd91d6d382bef3c47ab1328533
SHA256: 4f425ba2109ea9ea8b4e237b9491a20388a49c0a1937941f3b3d00d1f999f62e
SHA512: 61de997e67ec466180a761352b142cfa46195630bd6ccc85cdf3489888564997e989381d713400fbac94f3a19516595a313272fcfe7e041dc662c14cab691f05
Homepage: https://cran.r-project.org/package=CancerEvolutionVisualization
Description: CRAN Package 'CancerEvolutionVisualization' (Publication Quality Phylogenetic Tree Plots)
 Generates tree plots with precise branch lengths, gene annotations, and
 cellular prevalence. The package handles complex tree structures (angles,
 lengths, etc.) and can be further refined as needed by the user.

Package: r-cran-cancergi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 753
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-systemfit, r-bioc-qvalue, r-cran-survival, r-cran-reshape2, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-cancergi_1.0.1-1.ca2004.1_all.deb
Size: 730280
MD5sum: 19d9493b9893325ef9d003c362336289
SHA1: 477498a32a81ae83fcadc7e05088b4ed20d25239
SHA256: 58e1cafc90c2f97a08e15f494412289e6c1834851ec361fa4380b806193bcb35
SHA512: 2fd2091b46b16507cf28e8886f88610dc9a4ef45f46a17f08d4afa30201ef9c78619e5d69521429cc587993ce2a660353e5c6a39113a81db21bf3feb0e639dd0
Homepage: https://cran.r-project.org/package=cancerGI
Description: CRAN Package 'cancerGI' (Analyses of Cancer Gene Interaction)
 Functions to perform the following analyses: i) inferring epistasis from
 RNAi double knockdown data; ii) identifying gene pairs of multiple mutation
 patterns; iii) assessing association between gene pairs and survival; and
 iv) calculating the smallworldness of a graph (e.g., a gene interaction
 network).  Data and analyses are described in Wang, X., Fu, A. Q., McNerney,
 M. and White, K. P. (2014). Widespread genetic epistasis among breast cancer
 genes. Nature Communications. 5 4828. <doi:10.1038/ncomms5828>.

Package: r-cran-cancergram
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biogram, r-cran-devtools, r-cran-pbapply, r-cran-ranger, r-cran-shiny, r-cran-stringi, r-cran-dplyr
Suggests: r-cran-dt, r-cran-ggplot2, r-cran-pander, r-cran-rmarkdown, r-cran-shinythemes, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cancergram_1.0.0-1.ca2004.1_all.deb
Size: 213452
MD5sum: d56542d0e3f21c079c49d151cc6aa14a
SHA1: 4a86597fd4b55f830bbab5cece7141e2e0a23ac9
SHA256: 25f1cc93e1687d37fcb7bb08cda54e3debbf65eb578732cfb3f26c52b113debe
SHA512: d49443c9196f4bb0b529be800437b3700882543a3011da99a6ac25507b2a96f7f958c0740e6e87c7037dd3523877caa2b108c44d0718f020e478aa139c1cb9fc
Homepage: https://cran.r-project.org/package=CancerGram
Description: CRAN Package 'CancerGram' (Prediction of Anticancer Peptides)
 Predicts anticancer peptides using random forests trained on the n-gram
 encoded peptides. The implemented algorithm can be accessed from both the
 command line and shiny-based GUI. The CancerGram model is too large for CRAN
 and it has to be downloaded separately from the repository:
 <https://github.com/BioGenies/CancerGramModel>. For more information see:
 Burdukiewicz et al. (2020) <doi:10.3390/pharmaceutics12111045>.

Package: r-cran-cancerr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cancerr_0.1.0-1.ca2004.1_all.deb
Size: 266456
MD5sum: 2e20d4acd5195d4c2027eab47d71c728
SHA1: 41c73f77416f3da894c927aab596f99fcb8fe3b5
SHA256: f3fc80ace9a8c50caf78a3d98a1cd0dc607c23e97fb9cd5124f17ae60d88057d
SHA512: 03f552cebee43952d0a062f102db11e15518c0175681bfff29c26a57bb8890c9912d2be28eb9f5eb4b5d12f78347af5b27c49d75bcb7c96cae42121b5a614718
Homepage: https://cran.r-project.org/package=cancerR
Description: CRAN Package 'cancerR' (Classification of Cancer Using Administrative Data)
 Classifies the type of cancer using routinely collected data commonly found
 in cancer registries from pathology reports. The package implements the
 International Classification of Diseases for Oncology, 3rd Edition site
 (topography), histology (morphology), and behaviour codes of neoplasms to
 classify cancer type
 <https://www.who.int/standards/classifications/other-classifications/international-classification-of-diseases-for-oncology>.
 Classification in children utilize the International Classification of
 Childhood Cancer by Steliarova-Foucher et al. (2005)
 <doi:10.1002/cncr.20910>.  Adolescent and young adult cancer classification
 is based on Barr et al. (2020) <doi:10.1002/cncr.33041>.

Package: r-cran-cancerscreening
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-khisr, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cancerscreening_1.1.1-1.ca2004.1_all.deb
Size: 288420
MD5sum: 1a8ac431fee37e763e57d955d94e8c36
SHA1: 5b2b4920c3155e8ea16a2074165979330943d95f
SHA256: bdadda1d9160872fdedf153689d0a5368cfda44b06acd0ff385636039671914d
SHA512: b72cdc9155b97d71617189c4aaa3773db1f9074a5a382275acd73fee24430cdc53126bf8e832a3df32a48961b40bad7e87f8084e0e97b62bbc32744a0abc1149
Homepage: https://cran.r-project.org/package=cancerscreening
Description: CRAN Package 'cancerscreening' (Streamline Access to Cancer Screening Data)
 Retrieve cancer screening data for cervical, breast and colorectal cancers
 from the Kenya Health Information System <https://hiskenya.org> in a
 consistent way.

Package: r-cran-cancertiming
Architecture: all
Version: 3.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnbayes, r-cran-gplots
Suggests: r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors
Filename: pool/dists/focal/main/r-cran-cancertiming_3.1.8-1.ca2004.1_all.deb
Size: 190964
MD5sum: ed9c3dbd2dc98b27a994fadde8f69d2d
SHA1: e579cbcb16e71a9621f9364189f53361573d6fbb
SHA256: 9372ee8b26d62a4a45b4ecabc67cd88d21645ff91fa8ebea18ac4c08a5c59365
SHA512: 9925f5a030f633d3800704260f517a3a4923a0aa99165871e636d4c1d572fb5ad403725dc621192cd8a6dbe4b83197c9444e66654090028650746e936f9bdb7f
Homepage: https://cran.r-project.org/package=cancerTiming
Description: CRAN Package 'cancerTiming' (Estimation of Temporal Ordering of Cancer Abnormalities)
 Timing copy number changes using estimates of mutational allele frequency
 from resequencing of tumor samples.

Package: r-cran-candisc
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-heplots, r-cran-car
Suggests: r-cran-rgl, r-cran-cardata, r-cran-corrplot, r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-rpart, r-cran-rpart.plot
Filename: pool/dists/focal/main/r-cran-candisc_0.9.0-1.ca2004.1_all.deb
Size: 410156
MD5sum: adfb1cb74881622a5eaede7fa4b7fe4f
SHA1: 2dc051003153ae84286c8284c8b0c2858e8e1a15
SHA256: 15820f805f0650d8873e2277a519b3b9a6092cfeebb7b3aef7a1b7f01face645
SHA512: 8c4409a9c3837aa8a903bba1e706e8678343a5a2070cc322abc1492fd537b9a7163fdb1de84b72dc9800da2f359d3bc368e38717ada204b0c40db0c2f33522e7
Homepage: https://cran.r-project.org/package=candisc
Description: CRAN Package 'candisc' (Visualizing Generalized Canonical Discriminant and CanonicalCorrelation Analysis)
 Functions for computing and visualizing generalized canonical discriminant
 analyses and canonical correlation analysis for a multivariate linear model.
 Traditional canonical discriminant analysis is restricted to a one-way
 'MANOVA' design and is equivalent to canonical correlation analysis between
 a set of quantitative response variables and a set of dummy variables coded
 from the factor variable.  The 'candisc' package generalizes this to
 higher-way 'MANOVA' designs for all factors in a multivariate linear model,
 computing canonical scores and vectors for each term. The graphic functions
 provide low-rank (1D, 2D, 3D) visualizations of terms in an 'mlm' via the
 'plot.candisc' and 'heplot.candisc' methods. Related plots are now provided
 for canonical correlation analysis when all predictors are quantitative.

Package: r-cran-cane
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-agricolae, r-cran-dplyr, r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-cane_0.1.1-1.ca2004.1_all.deb
Size: 48472
MD5sum: 2f8502fe912cd2651eaab526bc05e651
SHA1: 2e05b0bec9bd876b4ed75178f3c447b49736c88b
SHA256: c1e1a5c8bb8d109b72af6d0382e36daa8185f61b6f22f51f5bb8508f18c97ae2
SHA512: af8801be31382e7a9e465634c5b0e78ee11bf77caa4aa3a158c51b1434b33a6447f99188b33cdd071a463859278b563b817e69517ecafec01877f5fb31bbd3a9
Homepage: https://cran.r-project.org/package=CANE
Description: CRAN Package 'CANE' (Comprehensive Groups of Experiments Analysis for NumerousEnvironments)
 In many cases, experiments must be repeated across multiple seasons or
 locations to ensure applicability of findings. A single experiment conducted
 in one location and season may yield limited conclusions, as results can
 vary under different environmental conditions. In agricultural research,
 treatment × location and treatment × season interactions play a crucial
 role. Analyzing a series of experiments across diverse conditions allows for
 more generalized and reliable recommendations. The 'CANE' package
 facilitates the pooled analysis of experiments conducted over multiple
 years, seasons, or locations. It is designed to assess treatment
 interactions with environmental factors (such as location and season) using
 various experimental designs. The package supports pooled analysis of
 variance (ANOVA) for the following designs: (1) 'PooledCRD()': completely
 randomized design; (2) 'PooledRBD()': randomized block design; (3)
 'PooledLSD()': Latin square design; (4) 'PooledSPD()': split plot design;
 and (5) 'PooledStPD()': strip plot design. Each function provides the
 following outputs: (i) Individual ANOVA tables based on independent analysis
 for each location or year; (ii) Testing of homogeneity of error variances
 among distinct locations using Bartlett’s Chi-Square test; (iii) If
 Bartlett’s test is significant, 'Aitken’s' transformation, defined as the
 ratio of the response to the square root of the error mean square, is
 applied to the response variable; otherwise, the data is used as is; (iv)
 Combined analysis to obtain a pooled ANOVA table; (v) Multiple comparison
 tests, including Tukey's honestly significant difference (Tukey's HSD) test,
 Duncan’s multiple range test (DMRT), and the least significant difference
 (LSD) test, for treatment comparisons. The statistical theory and steps of
 analysis of these designs are available in Dean et al.
 (2017)<doi:10.1007/978-3-319-52250-0> and Ruíz et al.
 (2024)<doi:10.1007/978-3-031-65575-3>. By broadening the scope of
 experimental conclusions, 'CANE' enables researchers to derive robust,
 widely applicable recommendations. This package is particularly valuable in
 agricultural research, where accounting for treatment × location and
 treatment × season interactions is essential for ensuring the validity of
 findings across multiple settings.

Package: r-cran-canek
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3196
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fnn, r-cran-irlba, r-cran-numbers, r-cran-fpc, r-bioc-bluster, r-cran-igraph, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-seurat, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-scater, r-bioc-batchelor, r-bioc-scran, r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-canek_0.2.5-1.ca2004.1_all.deb
Size: 3145136
MD5sum: 3d957ef8a3dda2c28631df21d66dde3c
SHA1: 6361ba2173cad557ae204385c95ceba3b544e93f
SHA256: 48749d3be6634de34293534b739b13adc800f98b91191caeb37c9acca71ff081
SHA512: 569dc41c158ccbd400188cddedcca97c000ec591f3c32a68b57a589da45d9bfa1258577f60c655c4c91225c833ebf6fcfa3ed8efaea056487d7b1f7b4124dbf8
Homepage: https://cran.r-project.org/package=Canek
Description: CRAN Package 'Canek' (Batch Correction of Single Cell Transcriptome Data)
 Non-linear/linear hybrid method for batch-effect correction that uses Mutual
 Nearest Neighbors (MNNs) to identify similar cells between datasets.
 Reference: Loza M. et al. (NAR Genomics and Bioinformatics, 2020)
 <doi:10.1093/nargab/lqac022>.

Package: r-cran-canopy
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1040
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-fields, r-cran-pheatmap, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-canopy_1.3.0-1.ca2004.1_all.deb
Size: 966980
MD5sum: 49514b9a1321c095341a59fad98aca45
SHA1: 064502afb5b260143071be8a04a37dfb54f4e23f
SHA256: 4070e6e4dfd1bfe9744dd703e514240c0ce35078e59cdb4c829092299131c8ae
SHA512: ed26f9f4d72728eedd3094eae9cd8ffb0fea5e1de51514883d1174bf8f12f7491c7e3a54603275b891d14ca0f04663204b41b052324081717ac44f57347f06fa
Homepage: https://cran.r-project.org/package=Canopy
Description: CRAN Package 'Canopy' (Accessing Intra-Tumor Heterogeneity and Tracking Longitudinaland Spatial Clonal Evolutionary History by Next-GenerationSequencing)
 A statistical framework and computational procedure for identifying the
 sub-populations within a tumor, determining the mutation profiles of each
 subpopulation, and inferring the tumor's phylogenetic history. The input are
 variant allele frequencies (VAFs) of somatic single nucleotide alterations
 (SNAs) along with allele-specific coverage ratios between the tumor and
 matched normal sample for somatic copy number alterations (CNAs). These
 quantities can be directly taken from the output of existing software.
 Canopy provides a general mathematical framework for pooling data across
 samples and sites to infer the underlying parameters. For SNAs that fall
 within CNA regions, Canopy infers their temporal ordering and resolves their
 phase.  When there are multiple evolutionary configurations consistent with
 the data, Canopy outputs all configurations along with their confidence
 assessment.

Package: r-cran-canprot
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1682
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringi, r-cran-multcompview
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-chnosz
Filename: pool/dists/focal/main/r-cran-canprot_2.0.0-1.ca2004.1_all.deb
Size: 1044480
MD5sum: 394c3aee0a3ebfbdea06c380ca2a63df
SHA1: ad1ce588a8baa04a9702e66b0d012128be3ac51b
SHA256: 9ec7ecadd1106757a22c1423bff3df3327de1c2603883ea028d6a7458da66479
SHA512: 5f1bca1075e7a23882c3d430326e636d4139a2fed72128a15f8eaf2faa45a6f76477368b8d5a5e5b51a615c5eb2f2d9c0b6fd6ca29b1f25d195ad3a9c9438d2e
Homepage: https://cran.r-project.org/package=canprot
Description: CRAN Package 'canprot' (Chemical Analysis of Proteins)
 Chemical analysis of proteins based on their amino acid compositions. Amino
 acid compositions can be read from FASTA files and used to calculate
 chemical metrics including carbon oxidation state and stoichiometric
 hydration state, as described in Dick et al. (2020)
 <doi:10.5194/bg-17-6145-2020>.  Other properties that can be calculated
 include protein length, grand average of hydropathy (GRAVY), isoelectric
 point (pI), molecular weight (MW), standard molal volume (V0), and metabolic
 costs (Akashi and Gojobori, 2002 <doi:10.1073/pnas.062526999>; Wagner, 2005
 <doi:10.1093/molbev/msi126>; Zhang et al., 2018
 <doi:10.1038/s41467-018-06461-1>). A database of amino acid compositions of
 human proteins derived from UniProt is provided.

Package: r-cran-cansim2r
Architecture: all
Version: 1.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-hmisc, r-cran-downloader
Filename: pool/dists/focal/main/r-cran-cansim2r_1.14.1-1.ca2004.1_all.deb
Size: 27264
MD5sum: d4ce16ff053796adc8b3811e3939b51d
SHA1: 886da19bc80c34f87d853ac69111cacea4a87b06
SHA256: 9fb1755de4bdf382adff14805670d973ce371bf9b69eaf45a299297901542471
SHA512: 10885d9d6e04206c47e0be020def07023da03d86c319e13f7fe410706510c27a9b7f0a4839340ad649c220a9cd27ff39080dcff9df3b7c01e371ddaa11af9659
Homepage: https://cran.r-project.org/package=CANSIM2R
Description: CRAN Package 'CANSIM2R' (Directly Extracts Complete CANSIM Data Tables)
 Extract CANSIM (Statistics Canada) tables and transform them into readily
 usable data in panel (wide) format. It can also extract more than one table
 at a time and produce the resulting merge by time period and geographical
 region.

Package: r-cran-cansim
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-tidyr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-arrow, r-cran-dbi, r-cran-rsqlite, r-cran-dbplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cansim_0.4.3-1.ca2004.1_all.deb
Size: 546028
MD5sum: 00da4f48417707e1afce1e70bf55d703
SHA1: 194251c15c9cc422bbf51c14013cd877a8d1ff78
SHA256: c5ea7ec952ac59c7d3a3e0eaa92ed283193c5ce751d5d898cdcbaef2e27af34e
SHA512: 7cd7f751e7ff5e8962a3191dd50e321bbf260795d7e0111e2551e1e6660708be858e4a5dbee5f7d6ab36a38ef2aaf3e69213f5425e616d28fb59700c5caa7529
Homepage: https://cran.r-project.org/package=cansim
Description: CRAN Package 'cansim' (Accessing Statistics Canada Data Table and Vectors)
 Searches for, accesses, and retrieves Statistics Canada data tables, as well
 as individual vectors, as tidy data frames.  This package enriches the
 tables with metadata, deals with encoding issues, allows for bilingual
 English or French language data retrieval, and bundles convenience functions
 to make it easier to work with retrieved table data. For more efficient data
 access the package allows for caching data in a local database and database
 level filtering, data manipulation and summarizing.

Package: r-cran-canvasxpress.data
Architecture: all
Version: 1.34.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4297
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-canvasxpress.data_1.34.2-1.ca2004.1_all.deb
Size: 4240040
MD5sum: cf102bf09317cdacfcab6e54a9c85cd3
SHA1: 1dbd08f8a4a9346bcc642fe179de4ab5aa377e25
SHA256: 6790418a64225a6edf5510683d0d8318dfe6a0ce1b6b01161d29016c4a735e61
SHA512: e85546281bca4ee7aaef764affa3d1d7d8bd79693641d44c13c74a6db2232e4b6093bc243a2d19a599762a23272db10702df4ecf591fb9d25f29a15b31ded99c
Homepage: https://cran.r-project.org/package=canvasXpress.data
Description: CRAN Package 'canvasXpress.data' (Datasets for the 'canvasXpress' Package)
 Contains the prepared data that is needed for the 'shiny' application
 examples in the 'canvasXpress' package.  This package also includes datasets
 used for automated 'testthat' tests.  Scotto L, Narayan G, Nandula SV,
 Arias-Pulido H et al. (2008) <doi:10.1002/gcc.20577>.  Davis S, Meltzer PS
 (2007) <doi:10.1093/bioinformatics/btm254>.

Package: r-cran-canvasxpress
Architecture: all
Version: 1.56.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4724
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-shiny, r-cran-canvasxpress.data, r-cran-dplyr, r-cran-dt, r-cran-glue, r-cran-knitr, r-cran-png, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-bioc-limma, r-cran-ggplot2, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-canvasxpress_1.56.1-1.ca2004.1_all.deb
Size: 1352016
MD5sum: 70421d402108ef1a01ce3c9ac7751d0f
SHA1: 62cf1f84e8243daf8c198b3379d2232a34d04a27
SHA256: af3ed573ccd17d222af8459701f67946eef65fc56d243732fe24d974095aed3e
SHA512: f0ec054ba283bb5144c371e56b32d81c7826e95c24f9f2d11f8a2e0073bb02669c1cc525dae42ec8729da1b684327071ca42936e88159b3ef20a6d41c7322509
Homepage: https://cran.r-project.org/package=canvasXpress
Description: CRAN Package 'canvasXpress' (Visualization Package for CanvasXpress in R)
 Enables creation of visualizations using the CanvasXpress framework in R.
 CanvasXpress is a standalone JavaScript library for reproducible research
 with complete tracking of data and end-user modifications stored in a single
 PNG image that can be played back. See <https://www.canvasxpress.org> for
 more information.

Package: r-cran-caop.raa.2024
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7436
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-tibble, r-cran-dplyr, r-cran-readr, r-cran-stringi, r-cran-glue
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-caop.raa.2024_0.0.5-1.ca2004.1_all.deb
Size: 6533764
MD5sum: 85ce73fc3bb9488dbbd5597a37b597cf
SHA1: 8591f3990fd9b1cc9b828e04141bd032510b04cc
SHA256: e1bd1f2ea58f36124e5f882c4d968b3d28db57eb4f50abdc45ddd886e874d5ec
SHA512: 08dd630a99614577fe3905ff9d740ba27e379c9a46ae096bc967356edfb3c615b5e383e7533443cd6cda9e823d96e6fa279cc250bbaf25ca5dd795e581c886b5
Homepage: https://cran.r-project.org/package=CAOP.RAA.2024
Description: CRAN Package 'CAOP.RAA.2024' (Official Administrative Map of the Azores (CAOP 2024))
 Provides the official administrative boundaries of the Azores (Região
 Autónoma dos Açores (RAA)) as defined in the 2024 edition of the Carta
 Administrativa Oficial de Portugal (CAOP), published by the Direção-Geral do
 Território (DGT). The package includes convenience functions to import these
 boundaries as 'sf' objects for spatial analysis in R.  Source:
 <https://geo2.dgterritorio.gov.pt/caop/CAOP_RAA_2024-gpkg.zip>.

Package: r-cran-cap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-multigroup
Filename: pool/dists/focal/main/r-cran-cap_1.0-1.ca2004.1_all.deb
Size: 235004
MD5sum: d4c4066ce4cdca5663987f8a204bf782
SHA1: f63620bf26ce92484d06f4c6ea0c06b12dd295cf
SHA256: 3085b8f7c6aba267c8e35f9d6b1baa7e125d1cdea542b3873951d3b81d5e859d
SHA512: 421905ef7b09e61abbcb88055b291dc190e8ebb314b98e4d7b93e2b461852ccabf1eba700ce3ebf6297df4655e1bef2411d3fdea143d5fd8437856f3abea2102
Homepage: https://cran.r-project.org/package=cap
Description: CRAN Package 'cap' (Covariate Assisted Principal (CAP) Regression for CovarianceMatrix Outcomes)
 Performs Covariate Assisted Principal (CAP) Regression for covariance matrix
 outcomes. The method identifies the optimal projection direction which
 maximizes the log-likelihood function of the log-linear heteroscedastic
 regression model in the projection space. See Zhao et al. (2018), Covariate
 Assisted Principal Regression for Covariance Matrix Outcomes,
 <doi:10.1101/425033> for details.

Package: r-cran-cape
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2886
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-catools, r-cran-corpcor, r-cran-doparallel, r-cran-evd, r-cran-foreach, r-cran-here, r-cran-igraph, r-cran-matrix, r-cran-pheatmap, r-cran-pracma, r-cran-propagate, r-cran-qtl, r-cran-qtl2, r-cran-qtl2convert, r-cran-r6, r-cran-rcolorbrewer, r-cran-regress, r-cran-shape, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cape_3.1.2-1.ca2004.1_all.deb
Size: 1745892
MD5sum: e1a4c7cb8e88e1a9b60d1e88c2c2424d
SHA1: 47b8a2946d00df6be22a5ece11eca03d85e03118
SHA256: 74dce47f7f38c08dc7eb6fb2005ab7a2e6b7ae48779643b5499daec008c6da6a
SHA512: b109939dfb2370c8d70f2661a7ef56c790aa1af14f142aa406d58aa0f241d0d30fefac0931fc0e7e65deb811eb88dca9e8ef0f8ed82c4ad5e9499184e8ca24eb
Homepage: https://cran.r-project.org/package=cape
Description: CRAN Package 'cape' (Combined Analysis of Pleiotropy and Epistasis for DiversityOutbred Mice)
 Combined Analysis of Pleiotropy and Epistasis infers predictive networks
 between genetic variants and phenotypes. It can be used with standard
 two-parent populations as well as multi-parent populations, such as the
 Diversity Outbred (DO) mice, Collaborative Cross (CC) mice, or the
 multi-parent advanced generation intercross (MAGIC) population of
 Arabidopsis thaliana. It uses complementary information of pleiotropic gene
 variants across different phenotypes to resolve models of epistatic
 interactions between alleles.  To do this, cape reparametrizes main effect
 and interaction coefficients from pairwise variant regressions into directed
 influence parameters. These parameters describe how alleles influence each
 other, in terms of suppression and enhancement, as well as how gene variants
 influence phenotypes. All of the final interactions are reported as directed
 interactions between pairs of parental alleles. For detailed descriptions of
 the methods used in this package please see the following references.
 Carter, G. W., Hays, M., Sherman, A. & Galitski, T. (2012)
 <doi:10.1371/journal.pgen.1003010>.  Tyler, A. L., Lu, W., Hendrick, J. J.,
 Philip, V. M. & Carter, G. W. (2013) <doi:10.1371/journal.pcbi.1003270>.

Package: r-cran-caper
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 930
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-xtable, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-caper_1.0.3-1.ca2004.1_all.deb
Size: 790676
MD5sum: 1c20a776066b353fc85f6765fef87a85
SHA1: 501c26250ceebd57d378639ae346e0fc138b8d5f
SHA256: c3b99497f02decb4f758a1246cb1b20f6df50f10505f8385b4d7004b372310c6
SHA512: 839e29a5847692ffb78171dcf14e028b1b1c5037e45bce1e4699ddd91c8802aa8c68856f4438c44e4c74e3179e41aa3073857e4a66db7254039d053afd8ab35b
Homepage: https://cran.r-project.org/package=caper
Description: CRAN Package 'caper' (Comparative Analyses of Phylogenetics and Evolution in R)
 Functions for performing phylogenetic comparative analyses.

Package: r-cran-capesdata
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4180
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-capesdata_0.0.1-1.ca2004.1_all.deb
Size: 4242052
MD5sum: c3b84c2ade72074095b70d6bd3d74655
SHA1: b9d72d983e1cd2d8c64c0a44cbd5599a32b8761c
SHA256: 93898961aab009f0f2f68fbdd5fc97453fd5b2d48bde5bfb18b6178bcae4ab4f
SHA512: 89322d4ca15cef97af3e3c9e2b12e96ac257b5dbe04614ed1780cbe3e92b8487f1cc5bb45d1ebb45d1874e48cb6ae73088aa4031fffdc0845a3b2315edc0e69b
Homepage: https://cran.r-project.org/package=capesData
Description: CRAN Package 'capesData' (Data on Scholarships in CAPES International Mobility Programs)
 Information on activities to promote scholarships in Brazil and abroad for
 international mobility programs, recorded in Capes' computerized payment
 systems. The CAPES database refers to international mobility programs for
 the period from 2010 to 2019 <https://dadosabertos.capes.gov.br/dataset/>.

Package: r-cran-capesr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-capesr_0.1.0-1.ca2004.1_all.deb
Size: 1993116
MD5sum: da6460fba71dc2a400b1f05bc073e878
SHA1: e6dc9ce4368412cd6a886109abb3576c865310d7
SHA256: 841be0750f5dc1ca782f0e57ba2e020a3785e9c3b9ebc47ddbced291d0902096
SHA512: 896840fc9d376f5af5b3f6b4604959ac7dca3cb36e2f4c280396ad40e9ee0768f5388f3ab4545e37ef77f817d5ff5b906aac6d6c9612a02f60d8dd5de20a6424
Homepage: https://cran.r-project.org/package=capesR
Description: CRAN Package 'capesR' (Access to CAPES Data)
 Provides simplified access to the data from the Catalog of Theses and
 Dissertations of the Brazilian Coordination for the Improvement of Higher
 Education Personnel (CAPES, <https://catalogodeteses.capes.gov.br>) for the
 years 1987 through 2022. The dataset includes variables such as Higher
 Education Institution (institution), Area of Concentration (area), Graduate
 Program Name (program_name), Type of Work (type), Language of Work
 (language), Author Identification (author), Abstract (abstract), Advisor
 Identification (advisor), Development Region (region), State (state).

Package: r-cran-capitalr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-capitalr_1.3.0-1.ca2004.1_all.deb
Size: 37828
MD5sum: 9d031e1ed569032d36a6099594f14a8f
SHA1: 19bf5ac403c39ef1a24feed32b6cbf3b780403ee
SHA256: 2fbba4804b0298fe85e5cfe129dfa044be89928fe7782677c448806f16936f29
SHA512: 6edc3f8b688611b71ce9050739ae91b9a5eab8c2ed77ae93ddef919df0b668a69e118ffa49437993402d869fcc4987b47227cb661d4270f280057c8191fa0621
Homepage: https://cran.r-project.org/package=capitalR
Description: CRAN Package 'capitalR' (Capital Budgeting Analysis, Annuity Loan Calculations andAmortization Schedules)
 Provides Capital Budgeting Analysis functionality and the essential Annuity
 loan functions.  Also computes Loan Amortization Schedules including
 schedules with irregular payments.

Package: r-cran-capl
Architecture: all
Version: 1.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2792
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-readxl, r-cran-stringr, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-capl_1.42-1.ca2004.1_all.deb
Size: 1515652
MD5sum: 4f1e539ae56cdfd1fbaa072202564f6e
SHA1: bff3694a3853623e02e294fbaa9e0cc12d82f332
SHA256: c9c5d4fa268db2a8c34ea88d866c5ae90cf9be2f50a8253d7c08603b5ab8f300
SHA512: 6d1118300bc933a750e730a13294048cccc6cc5dbd93cd4d49904fd2177fc39a34969688e9c88dc4847fcfe19c3a425f95314bc2b135409ca28c33e12b8b294f
Homepage: https://cran.r-project.org/package=capl
Description: CRAN Package 'capl' (Compute and Visualize CAPL-2 Scores and Interpretations)
 A toolkit for computing and visualizing CAPL-2 (Canadian Assessment of
 Physical Literacy, Second Edition; <https://www.capl-eclp.ca>) scores and
 interpretations from raw data.

Package: r-cran-caplot
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ca, r-cran-ggplot2, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-caplot_0.2-1.ca2004.1_all.deb
Size: 25772
MD5sum: 048f01c2bdf267042dc9271fdc1c8a1c
SHA1: 05827660c0379711442cff86c58c49a3db8b69c4
SHA256: c2dfa2d791617148b797bd18f97ff057057455b948df89e840239525262be62e
SHA512: f7f059d5fef65fdafc43791cd1be3590a9abe69c1353a025df65fe7ddc8a687ceaf009a919af3258a93fb8c994eb7e9ff95856c8b5f3efa1eb050cf99f1e3181
Homepage: https://cran.r-project.org/package=caplot
Description: CRAN Package 'caplot' (Correspondence Analysis with Geometric Frequency Interpretation)
 Performs Correspondence Analysis on the given dataframe and plots the
 results in a scatterplot that emphasizes the geometric interpretation aspect
 of the analysis, following Borg-Groenen (2005) and Yelland (2010). It is
 particularly useful for highlighting the relationships between a selected
 row (or column) category and the column (or row) categories. See
 Borg-Groenen (2005, ISBN:978-0-387-28981-6); Yelland (2010)
 <doi:10.3888/tmj.12-4>.

Package: r-cran-capm
Architecture: all
Version: 0.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 740
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-fme, r-cran-survey, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-circlize, r-cran-sf
Filename: pool/dists/focal/main/r-cran-capm_0.14.0-1.ca2004.1_all.deb
Size: 351684
MD5sum: 6a587e2a81e92e8c1363e7982f4428b8
SHA1: f5d22e3f4ccc7e01345d622bb99196a3f056af3f
SHA256: 4adeb03c589c29b3fe6bd57c0a5f9d3db0756f8f04a9e540eb94fc0246b3c227
SHA512: d21948816bfd7492b428eee2fef903ed42a91a9a4da6448627552a1649cda9493fcf7ac94ac2e1488aa4996841d539c785add96804c872349a9f9e88fa19375f
Homepage: https://cran.r-project.org/package=capm
Description: CRAN Package 'capm' (Companion Animal Population Management)
 Quantitative analysis to support companion animal population management.
 Some functions assist survey sampling tasks (calculate sample size for
 simple and complex designs, select sampling units and estimate population
 parameters) while others assist the modelling of population dynamics. For
 demographic characterizations and population management evaluations see:
 "Baquero, et al." (2018), <doi:10.1016/j.prevetmed.2018.07.006>. For
 modelling of population dynamics see: "Baquero et al." (2016),
 <doi:10.1016/j.prevetmed.2015.11.009>. For sampling methods see: "Levy PS &
 Lemeshow S" (2013), "ISBN-10: 0470040076"; "Lumley" (2010), "ISBN:
 978-0-470-28430-8".

Package: r-cran-capn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-capn_1.0.0-1.ca2004.1_all.deb
Size: 119640
MD5sum: cfd27a520690c8ce805726ddb6fd925d
SHA1: 3c0a5283278327cb19dbad7ab81092aecb2b73fe
SHA256: 0b96f5b9e4f2c3145fbb166b85fd20a01743338b3105a31ef9e8bda5da017a92
SHA512: 1436ecb89a729a4c2e9426dfa6ebfaace9923d62627c5ab1bd7ea71f91a751a46f7e7124e80bc2aef13e103d872fa757f2748fe50b2505412c3b10e20ef9d88f
Homepage: https://cran.r-project.org/package=capn
Description: CRAN Package 'capn' (Capital Asset Pricing for Nature)
 Implements approximation methods for natural capital asset prices suggested
 by Fenichel and Abbott (2014) <doi:10.1086/676034> in Journal of the
 Associations of Environmental and Resource Economists (JAERE), Fenichel et
 al. (2016) <doi:10.1073/pnas.1513779113> in Proceedings of the National
 Academy of Sciences (PNAS), and Yun et al. (2017) in PNAS (accepted), and
 their extensions: creating Chebyshev polynomial nodes and grids, calculating
 basis of Chebyshev polynomials, approximation and their simulations for:
 V-approximation (single and multiple stocks, PNAS), P-approximation (single
 stock, PNAS), and Pdot-approximation (single stock, JAERE). Development of
 this package was generously supported by the Knobloch Family Foundation.

Package: r-cran-capo4sim
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5925
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinyjqui, r-cran-plotly, r-cran-rintrojs, r-cran-shinycssloaders, r-cran-visnetwork, r-cran-purrr, r-cran-dt, r-cran-magrittr
Suggests: r-cran-htmltools, r-cran-shinydashboard, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-capo4sim_0.2.1-1.ca2004.1_all.deb
Size: 2379712
MD5sum: 5a2fc5d3ec57ea3d021e120daee97647
SHA1: 2f0a3a8c349ca2437c088a91250ae201231bd2b3
SHA256: e8a9e5d23938a14931b7d04eac391b3eba4be392990159467848aec1e0fb88fa
SHA512: f731c4322520c0e813d63e93caba710f3d48f42359b007ae1ed0dcb3e879bc94502dde108909015f6b26e40439df2a629f65183a115b6b38fafcfdcc1880e66e
Homepage: https://cran.r-project.org/package=CaPO4Sim
Description: CRAN Package 'CaPO4Sim' (A Virtual Patient Simulator in the Context of Calcium andPhosphate Homeostasis)
 Explore calcium (Ca) and phosphate (Pi) homeostasis with two novel 'Shiny'
 apps, building upon on a previously published mathematical model written in
 C, to ensure efficient computations. The underlying model is accessible here
 <https://pubmed.ncbi.nlm.nih.gov/28747359/)>.  The first application
 explores the fundamentals of Ca-Pi homeostasis, while the second provides
 interactive case studies for in-depth exploration of the topic, thereby
 seeking to foster student engagement and an integrative understanding of
 Ca-Pi regulation.

Package: r-cran-captioner
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-captioner_2.2.3-1.ca2004.1_all.deb
Size: 31628
MD5sum: e19e479fa0c96c0eb4d54af3bc5112a2
SHA1: a4d7ee1d1076700a5d943e7421f41acaeaf7c352
SHA256: 003eb34afefe682420cdd292ef958f8a8888c2f8135fb6a0322e5e863578d2d1
SHA512: ecb4540959078da8e44793ac25b33da22739e29edd2ae86cfe7a683ee5de8fb93673c11b55155635cd9ce57756d82c0c3230b3ca180dd6651acfc609d3fc1360
Homepage: https://cran.r-project.org/package=captioner
Description: CRAN Package 'captioner' (Numbers Figures and Creates Simple Captions)
 Provides a method for automatically numbering figures, tables, or other
 objects.  Captions can be displayed in full, or as citations.  This is
 especially useful for adding figures and tables to R markdown documents
 without having to numbering them manually.

Package: r-cran-captr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-captr_0.3.0-1.ca2004.1_all.deb
Size: 3179848
MD5sum: 865543a4347ccccde9d23a352b059e77
SHA1: 89a0b3f4fa978da4581edd0906e6849ddd0b02d2
SHA256: ee3fd30fa252c67c50719f82cc3db586481dd2701985dd58ad182259a3ad8ece
SHA512: a9d0e2efc9b7d14af2bb9eccf26bbac102a297b9d13866370dc4a91191a49a7a261689f7b7e2edc076e1b64603e66d009d29c78585216e1f68c7e9946d3fdf65
Homepage: https://cran.r-project.org/package=captr
Description: CRAN Package 'captr' (Client for the Captricity API)
 Get text from images of text using Captricity Optical Character Recognition
 (OCR) API. Captricity allows you to get text from handwritten forms ---
 think surveys --- and other structured paper documents. And it can output
 data in form a delimited file keeping field information intact. For more
 information, read <https://shreddr.captricity.com/developer/overview/>.

Package: r-cran-capushe
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-capushe_1.1.2-1.ca2004.1_all.deb
Size: 214648
MD5sum: b8b40db0f885b624068a2e6acc12ed0f
SHA1: 675fc5602f729745dacada8d2514cba4b9bce861
SHA256: 502721156d7c7cf5a1a065e7e05d238aeaf0823f2bae945b99683241faf5ee9c
SHA512: d0ddb10ae614ed502ecfd00cf8b4bef026a3c7014a574155529b9c4f84cf7117c025127d18b7f34c8c41d2478b8e3e462b6dbae41a7eda85007a4aa36d2edada
Homepage: https://cran.r-project.org/package=capushe
Description: CRAN Package 'capushe' (CAlibrating Penalities Using Slope HEuristics)
 Calibration of penalized criteria for model selection. The calibration
 methods available are based on the slope heuristics.

Package: r-cran-capwire
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-capwire_1.1.4-1.ca2004.1_all.deb
Size: 96488
MD5sum: ed59e760278188438bac0cc27d913401
SHA1: c92b3225882165352bd8db56427538432a6d2c28
SHA256: ba303f7b82b6431158efa3aa7ec1e622cd13109f9511d4bc67d49b12eb006349
SHA512: 378605f28c512d283a10aa944ae86d7320a0c3303419ec99f2ddd0259e8cafecf2b8e0c10203557524503b6003a577c9c5a5ddbab24e68f441061964a4d156cb
Homepage: https://cran.r-project.org/package=capwire
Description: CRAN Package 'capwire' (Estimates population size from non-invasive sampling)
 Fits models from Miller et al. 2005 to estimate population sizes from
 natural populations. Several models are implemented.  Package also includes
 functions to perform a likelihood ratio test to choose between models,
 perform parametric bootstrapping to obtain confidence intervals and multiple
 functions to simulate data.

Package: r-cran-car
Architecture: all
Version: 3.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1635
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cardata, r-cran-abind, r-cran-formula, r-cran-mass, r-cran-mgcv, r-cran-nnet, r-cran-pbkrtest, r-cran-quantreg, r-cran-lme4, r-cran-nlme, r-cran-scales
Suggests: r-cran-alr4, r-cran-boot, r-cran-coxme, r-cran-effects, r-cran-knitr, r-cran-leaps, r-cran-lmtest, r-cran-matrix, r-cran-matrixmodels, r-cran-ordinal, r-cran-plotrix, r-cran-mvtnorm, r-cran-rgl, r-cran-rio, r-cran-sandwich, r-cran-sparsem, r-cran-survival, r-cran-survey
Filename: pool/dists/focal/main/r-cran-car_3.1-3-1.ca2004.1_all.deb
Size: 1502900
MD5sum: 6d10bba6042997a6b1058e700a87f24b
SHA1: 29e81f5f0412bfd9d802cb0e74b9b7b6ab4022da
SHA256: 7260a20fece7a188c50f69a28cfdfa09c612bebb339ff5f2d03c0bd59a97d776
SHA512: 503b8275e5c94c2715edc43ba6ef7ff8f4bba482d1554ed64fc8005e9720efaf88af6bc522e0eda69078b980172d6dc3376c5e0f209468e22a74c2898b77cc89
Homepage: https://cran.r-project.org/package=car
Description: CRAN Package 'car' (Companion to Applied Regression)
 Functions to Accompany J. Fox and S. Weisberg, An R Companion to Applied
 Regression, Third Edition, Sage, 2019.

Package: r-cran-caracas
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 978
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-matrix, r-cran-doby, r-cran-magrittr
Suggests: r-cran-ryacas, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytex, r-cran-magick, r-cran-pdftools, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-caracas_2.1.1-1.ca2004.1_all.deb
Size: 447584
MD5sum: 0b9117764ecdd898aab48cd315ad5fd8
SHA1: 84581f5cf5b575a5b5b69b67cf4871e477e371ef
SHA256: 09d5edb375f9075d06ceb0733faee8b19de10308d1f978fad707285853549504
SHA512: b0033419dcf97e5058cf2722bc21e009afdbb8aa1cc27c24e2a8a404bb91281db29ca2b781f0a0469095a707f121c77108b56a9532556ed343902a42356cc68b
Homepage: https://cran.r-project.org/package=caracas
Description: CRAN Package 'caracas' (Computer Algebra)
 Computer algebra via the 'SymPy' library (<https://www.sympy.org/>).  This
 makes it possible to solve equations symbolically, find symbolic integrals,
 symbolic sums and other important quantities.

Package: r-cran-carbayesdata
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf
Filename: pool/dists/focal/main/r-cran-carbayesdata_3.0-1.ca2004.1_all.deb
Size: 356668
MD5sum: b2a5b28b35d51f161be2e73ec0b13b52
SHA1: 65aed9dd66d062537c8ed1171c83806f7051feb6
SHA256: fbf98910f08ee594c496c2812099942dfba17afea01274681297d59b0bba9c83
SHA512: 1c4b9a454ad90679e825cbda6437f790068a53ce00e944d3869ee76addcfa85a3b08979bce93911736063e1d3077ed8c9ecfb7be1cad664d873233726ca882c1
Homepage: https://cran.r-project.org/package=CARBayesdata
Description: CRAN Package 'CARBayesdata' (Data Used in the Vignettes Accompanying the CARBayes andCARBayesST Packages)
 Spatio-temporal data from Scotland used in the vignettes accompanying the
 CARBayes (spatial modelling) and CARBayesST (spatio-temporal modelling)
 packages. Most of the data relate to the set of 271 Intermediate Zones (IZ)
 that make up the 2001 definition of the Greater Glasgow and Clyde health
 board.

Package: r-cran-carbonate
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1324
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-clipr, r-cran-details, r-cran-httpuv, r-cran-httr, r-cran-magick, r-cran-r6, r-cran-rselenium, r-cran-rtweet, r-cran-wdman, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-carbonate_0.1.4-1.ca2004.1_all.deb
Size: 912992
MD5sum: 44b680dd29eba73b376b9ec3701a4f89
SHA1: bb7c1b93b0fe938261376f6e9a2ab85e610761e6
SHA256: 8e6968564830fa3661413feeb4a6f60950a3b4cd4b6233089882b1f07ea95dff
SHA512: bfc8e4800c9373f7b57ed15acc5c5c57b65bcbeb599734cdee36dd1d63e348ffb67ef356f518e1e1c9ad10098dca13ba88310907f1d123b4e5d1c47a8dc7dffa
Homepage: https://cran.r-project.org/package=carbonate
Description: CRAN Package 'carbonate' (Interact with 'carbon.js')
 Create beautiful images of source code using
 'carbon.js'<https://carbon.now.sh/about>.

Package: r-cran-carbonr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-airportr, r-cran-checkmate, r-cran-cowplot, r-cran-dplyr, r-cran-emojifont, r-cran-ggplot2, r-cran-ggpp, r-cran-htmltools, r-cran-lubridate, r-cran-magrittr, r-cran-readxl, r-cran-rlang, r-cran-shiny, r-cran-shinydashboard, r-cran-sp, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-carbonr_0.2.1-1.ca2004.1_all.deb
Size: 1352508
MD5sum: e98b0521b886bf89ea1f62fd6b75f263
SHA1: a37a98e9eaea95382c0af5a817420e0bfdcb4107
SHA256: 4f951a11cb0eb7e54f4729aae40f95160026ccfaf34df3fdb0d5451e6ac2c947
SHA512: 763365dc4996e19c3d762453c7008f75c412bb087fdc95776ef4fa3299cf682834b637a0a789fb2077318afa3cf9587ffd0937372a0d2ef761831aaddd8064e3
Homepage: https://cran.r-project.org/package=carbonr
Description: CRAN Package 'carbonr' (Calculate Carbon-Equivalent Emissions)
 Provides a flexible tool for calculating carbon-equivalent emissions. Mostly
 using data from the UK Government's Greenhouse Gas Conversion Factors report
 <https://www.gov.uk/government/publications/greenhouse-gas-reporting-conversion-factors-2023>,
 it facilitates transparent emissions calculations for various sectors,
 including travel, accommodation, and clinical activities. The package is
 designed for easy integration into R workflows, with additional support for
 'shiny' applications and community-driven extensions.

Package: r-cran-carcass
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-survival, r-cran-expm, r-cran-arm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-carcass_1.7-1.ca2004.1_all.deb
Size: 105264
MD5sum: c23c06f1a84e43514089cfedbb71b671
SHA1: 2415fb5c7c68951aedf9838d943f9b39e2ce8db4
SHA256: acc145616ad1f04bc27d7daf83543142e0e6e24426c924fd557b98bda9dac744
SHA512: 7fe0df3a8ac1d65e4f4e7bf413632d3edaa739675fb31c716c8ac8801e9b1b1932d7cf40b204ed472a093fe7571139225a72c031f826d8f653c18d8bc2fdd379
Homepage: https://cran.r-project.org/package=carcass
Description: CRAN Package 'carcass' (Estimation of the Number of Fatalities from Carcass Searches)
 The number of bird or bat fatalities from collisions with buildings, towers
 or wind energy turbines can be estimated based on carcass searches and
 experimentally assessed carcass persistence times and searcher efficiency.
 Functions for estimating the probability that a bird or bat that died is
 found by a searcher are provided. Further functions calculate the posterior
 distribution of the number of fatalities based on the number of carcasses
 found and the estimated detection probability.

Package: r-cran-card.pro
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-quickcode, r-cran-htmltools
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-card.pro_2.3.0-1.ca2004.1_all.deb
Size: 740064
MD5sum: 008550532bd4bb080416dedb03193e57
SHA1: 9d787aa7e9e2c24720f94eb7438ac1df22f7fd6b
SHA256: 1b1e43debc5b820996acea692f9401b8825cdede5c0f07c98fa564b724424c60
SHA512: 755870ba36a3c14e4255d12506a9286fa09dedfcd374a94ea45a94e42cca07da40dd4dfa48d86adda20efc95b48a06357deef0b41e388a60779f051bce867165
Homepage: https://cran.r-project.org/package=card.pro
Description: CRAN Package 'card.pro' (Lightweight Modern & Responsive Card Component for 'shiny')
 Responsive and modern 'HTML' card essentials for 'shiny' applications and
 dashboards. This novel card component in 'Bootstrap' provides a flexible and
 extensible content container with multiple variants and options for building
 robust 'R' based apps e.g for graph build or machine learning projects. The
 features rely on a combination of 'JQuery' <https://jquery.com> and 'CSS'
 styles to improve the card functionality.

Package: r-cran-card
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2849
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-parsnip, r-cran-hardhat
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-broom.mixed, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-card_0.1.1-1.ca2004.1_all.deb
Size: 2613700
MD5sum: d537decfaf606edf4f24dd44dc3b5848
SHA1: a09c7d07eb5a26a2fcaeb4910d76549f11d89173
SHA256: 4fb24fbc59c918c3a18d78443d62bff84c83b7a7c19b62162043d7b21808f029
SHA512: c3358742181f38cd7dbed0a98de47d40d938eadf608e23ed320c25418000da9a1f5a0e080cd18a4145b1702981a84fbd904d8ed6b33372c4e045e74d0a66b8d7
Homepage: https://cran.r-project.org/package=card
Description: CRAN Package 'card' (Cardiovascular Applications in Research Data)
 A collection of cardiovascular research datasets and analytical tools,
 including methods for cardiovascular procedural data, such as
 electrocardiography, echocardiography, and catheterization data. Additional
 methods exist for analysis of procedural billing codes.

Package: r-cran-cardata
Architecture: all
Version: 3.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2164
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-car
Filename: pool/dists/focal/main/r-cran-cardata_3.0-5-1.ca2004.1_all.deb
Size: 1795424
MD5sum: dc03be65cff698411a28647072e852d4
SHA1: bc17cbc6a8e6564f2af23e908a7148282365775d
SHA256: 2baca2da7eeed9786771524c2146d0a25628bd9fb5578a8c2c8173e52aa23ef5
SHA512: 06a571d643d48aa9a37d688607dea0c7f2254205b601f1f5e17d0203be24e4ac0a4358c7684b7edc992048d3ce7960801dea3172c883fc4538fa41d2faa7901f
Homepage: https://cran.r-project.org/package=carData
Description: CRAN Package 'carData' (Companion to Applied Regression Data Sets)
 Datasets to Accompany J. Fox and S. Weisberg, An R Companion to Applied
 Regression, Third Edition, Sage (2019).

Package: r-cran-cardidates
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-pastecs, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-cardidates_0.4.9-1.ca2004.1_all.deb
Size: 251048
MD5sum: 2f460fa577dbde68c7950a2e2f538c0c
SHA1: ee97b881fb30f4076e4d50a5b3870cb3b00c13d6
SHA256: 910e607a630b4905e7be5e454c8b44eea7eb24e36cf07c67e33edf0f0370285a
SHA512: 98a4105dba96239417e093c0dad993cb456efb48323dd4772941edad14f4ed6a371db3bdd950694f48e85404d74122de45ec04f46e9705afa34c5889fa3669c1
Homepage: https://cran.r-project.org/package=cardidates
Description: CRAN Package 'cardidates' (Identification of Cardinal Dates in Ecological Time Series)
 Identification of cardinal dates (begin, time of maximum, end of mass
 developments) in ecological time series using fitted Weibull functions.

Package: r-cran-cardinalr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1773
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-purrr
Suggests: r-cran-knitr, r-cran-langevitour, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cardinalr_0.1.1-1.ca2004.1_all.deb
Size: 947156
MD5sum: 53fc795fa5e85358ddc4310be1cc38d7
SHA1: 88f4523f614a51dd7f9d85ac942cdacba850adca
SHA256: 4a77970d4968b449c3d08bb797d40cce49a7f4f36ecffda4a3b09b3032369b2c
SHA512: e43a4f312b298ce6d700c9241cd85cd4d68f47a8ff160217df5f37a17075d11d407869fdb852f1313b9afa77429b9c45dfd016155f16db2c6c5b44c44d0cbd5b
Homepage: https://cran.r-project.org/package=cardinalR
Description: CRAN Package 'cardinalR' (Collection of Data Structures)
 A collection of simple simulation datasets designed for generating Nonlinear
 Dimension Reduction representations techniques such as t-distributed
 Stochastic Neighbor Embedding, and Uniform Manifold Approximation and
 Projection. These datasets serve as a valuable resource for understanding
 the reliability of Nonlinear Dimension Reduction representations in various
 contexts.

Package: r-cran-cardiocurver
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1747
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-signal, r-cran-ggplot2, r-cran-gridextra, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cardiocurver_1.0.0-1.ca2004.1_all.deb
Size: 249960
MD5sum: 9d3f8be8cd3ba647cce8e1f5202dc41f
SHA1: 7485dd0ef1aa62ef4394bee4efca0d5ec2e08414
SHA256: 880dee559815356ba534d58c65070ad3ea04fe35cf175a8914695bf43761e179
SHA512: f9e3c473343cb0066c62ad2bf6e6c086d16288c197f90744c6c2065839b26fbc4ee2c3e56536cb56eb1b2c0f86bcb884041c98b0419c3e6160a0380e4b342800
Homepage: https://cran.r-project.org/package=CardioCurveR
Description: CRAN Package 'CardioCurveR' (Nonlinear Modeling of R-R Interval Dynamics)
 Automated and robust framework for analyzing R-R interval (RRi) signals
 using advanced nonlinear modeling and preprocessing techniques. The package
 implements a dual-logistic model to capture the rapid drop and subsequent
 recovery of RRi during exercise, as described by Castillo-Aguilar et al.
 (2025) <doi:10.1038/s41598-025-93654-6>. In addition, 'CardioCurveR'
 includes tools for filtering RRi signals using zero-phase Butterworth
 low-pass filtering and for cleaning ectopic beats via adaptive outlier
 replacement using local regression and robust statistics. These integrated
 methods preserve the dynamic features of RRi signals and facilitate accurate
 cardiovascular monitoring and clinical research.

Package: r-cran-cardiodatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1059
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cardiodatasets_0.1.0-1.ca2004.1_all.deb
Size: 537680
MD5sum: 9268affa6ac843a24ea1b352d9c783d0
SHA1: fabdf007866dbe54453195bab613a4bba1300065
SHA256: 0330833f6e793db9171ddeea6283e4c7e01de9a2fb78c639e39993f6a49396af
SHA512: e50c09b6ab71cec1dd6d0998f1b2a7f75845fee6070cccc5fd2e7ad2fd49103d74dd0c5af3a9954ef6fabcebf0eed550ca8d74a3bf0682702ea88fbf6c5eb305
Homepage: https://cran.r-project.org/package=CardioDataSets
Description: CRAN Package 'CardioDataSets' (A Comprehensive Collection of Cardiovascular and Heart DiseaseDatasets)
 Offers a diverse collection of datasets focused on cardiovascular and heart
 disease research, including heart failure, myocardial infarction, aortic
 dissection, transplant outcomes, cardiovascular risk factors, drug efficacy,
 and mortality trends.  Designed for researchers, clinicians,
 epidemiologists, and data scientists, the package features clinical,
 epidemiological, and simulated datasets covering a wide range of conditions
 and treatments such as statins, anticoagulants, and beta blockers.  It
 supports analyses related to disease progression, treatment effects,
 rehospitalization, and public health outcomes across various cardiovascular
 patient populations.

Package: r-cran-cards
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 633
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cards_0.6.0-1.ca2004.1_all.deb
Size: 567376
MD5sum: 1174fcb8427e1e73de918df98f81bf02
SHA1: 5e73d2c7c414baefd7a8be2b1147d23630a11a9c
SHA256: 2d093a707d422030e0e5cc48145a893a204281959a9ac5d8af04285ec94e6b60
SHA512: cd5d862f7925c3e6695f325a7463a472d085c48bcb1e37c87bf3e385b5de7f0cb4e0f361122c113d6d0f8ea8dab73da29bc4a98d1414e2039f5b03c0719bcc22
Homepage: https://cran.r-project.org/package=cards
Description: CRAN Package 'cards' (Analysis Results Data)
 Construct CDISC (Clinical Data Interchange Standards Consortium) compliant
 Analysis Results Data objects. These objects are used and re-used to
 construct summary tables, visualizations, and written reports. The package
 also exports utilities for working with these objects and creating new
 Analysis Results Data objects.

Package: r-cran-cardx
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cards, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-aod, r-cran-broom, r-cran-broom.helpers, r-cran-broom.mixed, r-cran-car, r-cran-effectsize, r-cran-emmeans, r-cran-geepack, r-cran-ggsurvfit, r-cran-lme4, r-cran-parameters, r-cran-smd, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cardx_0.2.4-1.ca2004.1_all.deb
Size: 532672
MD5sum: 0feb732206d442708465933a3cec6a26
SHA1: 61a8a0b8de55d2de7a63a83bc15032ec1459431c
SHA256: 17177e1419dd8899f20e3dc68be4bcd1e05546ef576a4352495cea4baecbf8e3
SHA512: 6ac9cdda52c9fdbe0762ae140f9bab84492bf81df7a1e827abfb52c62e293a614922c2032ca201e5f0d24aafa2e83073e2953ed5eeed19333ebde0794366a7b7
Homepage: https://cran.r-project.org/package=cardx
Description: CRAN Package 'cardx' (Extra Analysis Results Data Utilities)
 Create extra Analysis Results Data (ARD) summary objects.  The package
 supplements the simple ARD functions from the 'cards' package, exporting
 functions to put statistical results in the ARD format. These objects are
 used and re-used to construct summary tables, visualizations, and written
 reports.

Package: r-cran-care1
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-care1_1.1.0-1.ca2004.1_all.deb
Size: 60672
MD5sum: 0f0f664011909dcb94513b9306600901
SHA1: 59f4ab8ac57572d1acd806ea423d55f6e176c21e
SHA256: be9a05eb6925876158e0eabf3fb9667f1a435d9256edd581cb0a260a30908b43
SHA512: e8dbf6cba71f0a35afe0a9241655be395043ff2e698f74e637d45ba95320946075ebf5e9af8dc2bf39fb5150e9ad63aeae04a50ad2d9b753f538ea6993090e69
Homepage: https://cran.r-project.org/package=CARE1
Description: CRAN Package 'CARE1' (Statistical package for population size estimation incapture-recapture models)
 The R package CARE1, the first part of the program CARE (Capture-Recapture)
 in http://chao.stat.nthu.edu.tw/softwareCE.html, can be used to analyze
 epidemiological data via sample coverage approach (Chao et al. 2001a). Based
 on the input of records from several incomplete lists (or samples) of
 individuals, the R package CARE1 provides output of population size estimate
 and related statistics.

Package: r-cran-care4cmodel
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-care4cmodel_1.0.3-1.ca2004.1_all.deb
Size: 244472
MD5sum: 1b50cb596fccbbbbcb713ca2edc23f97
SHA1: 2a5119d022b0032dfe58c84b7b63521dcbb299ab
SHA256: 0c2d8008fff2727e7410c25b35772ddd567f468184c0095baf267b0ab68a439b
SHA512: 4246bf577a5133ae95ee096faae56a2f03780a300a62fbc3a8360ba26ee3310fc8deb6d3bc92bb56363be4c82e0a9cf5323f7af81f1b1062f9031337d01fc7d6
Homepage: https://cran.r-project.org/package=care4cmodel
Description: CRAN Package 'care4cmodel' (Carbon-Related Assessment of Silvicultural Concepts)
 A simulation model and accompanying functions that support assessing
 silvicultural concepts on the forest estate level with a focus on the CO2
 uptake by wood growth and CO2 emissions by forest operations. For achieving
 this, a virtual forest estate area is split into the areas covered by
 typical phases of the silvicultural concept of interest. Given initial area
 shares of these phases, the dynamics of these areas is simulated. The
 typical carbon stocks and flows which are known for all phases are
 attributed post-hoc to the areas and upscaled to the estate level. CO2
 emissions by forest operations are estimated based on the amounts and
 dimensions of the harvested timber. Probabilities of damage events are taken
 into account.

Package: r-cran-care
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor
Suggests: r-cran-crossval
Filename: pool/dists/focal/main/r-cran-care_1.1.11-1.ca2004.1_all.deb
Size: 153072
MD5sum: 54df8f97bc1f9e9c289b2b7d617461fe
SHA1: a1e8c65aa58f7daf237164b679f7102487c5748a
SHA256: 3e32bc38664b3b2a7df7fed1d0146f8dd50da9cf2ac13338e04f7ba7b1c04df8
SHA512: 479db2e7f7de539120ddc88a25e5c523391697ccb9ad7c2dfbdd8eea8b7e553ceb42e7b72a36f3d4d4905f0423edd308caffa9674e0feecbde5aa6ae1ce3fe61
Homepage: https://cran.r-project.org/package=care
Description: CRAN Package 'care' (High-Dimensional Regression and CAR Score Variable Selection)
 Implements the regression approach of Zuber and Strimmer (2011)
 "High-dimensional regression and variable selection using CAR scores" SAGMB
 10: 34, <DOI:10.2202/1544-6115.1730>.  CAR scores measure the correlation
 between the response and the Mahalanobis-decorrelated predictors.  The
 squared CAR score is a natural measure of variable importance and provides a
 canonical ordering of variables. This package provides functions for
 estimating CAR scores, for variable selection using CAR scores, and for
 estimating corresponding regression coefficients. Both shrinkage as well as
 empirical estimators are available.

Package: r-cran-carecall
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-spelling, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-carecall_0.1.0-1.ca2004.1_all.deb
Size: 89700
MD5sum: fec20e5b7075fdbaaad990a81a83e583
SHA1: e7470defa40202f6298f4f14d1031a3e261c4637
SHA256: e663a650c5010e49c839bf1a97504a7d929147471442026af9a2151897b1907e
SHA512: ea4841964cf10a7451341374203b94b93fd7bf61160713630d827eb4c0f456c3d40253d4fa3c4191a9297217cd96783479e29cdf91b9d83a6c4f5098872bdf45
Homepage: https://cran.r-project.org/package=caRecall
Description: CRAN Package 'caRecall' (Government of Canada Vehicle Recalls Database API Wrapper)
 Provides API access to the Government of Canada Vehicle Recalls Database
 <https://tc.api.canada.ca/en/detail?api=VRDB> used by the Defect
 Investigations and Recalls Division for vehicles, tires, and child car
 seats. The API wrapper provides access to recall summary information
 searched using make, model, and year range, as well as detailed recall
 information searched using recall number.

Package: r-cran-caredensity
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixextra, r-cran-data.table, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-caredensity_0.1.0-1.ca2004.1_all.deb
Size: 56600
MD5sum: 87644e2c7d5b7599057927dde414ce36
SHA1: 4f11f5ffadf7497502bd1415d20ec84b58a1f9c8
SHA256: 29fa3c4c386d06d15f5eeb167e5e68bb0dee5e0c9466364a0e0e25668066717b
SHA512: 323ff23d7ab610d33a27e745433d467e8c8afc12c37aa63a5ce3d378161da1fa861c108d9c81f044238a07898973b2333a41fca31009883fc0188d70c73e8348
Homepage: https://cran.r-project.org/package=CareDensity
Description: CRAN Package 'CareDensity' (Calculate the Care Density or Fragmented Care Density Given aPatient-Sharing Network)
 Given a patient-sharing network, calculate either the classic care density
 as proposed by Pollack et al. (2013) <doi:10.1007/s11606-012-2104-7> or the
 fragmented care density as proposed by Engels et al. (2024)
 <doi:10.1186/s12874-023-02106-0>.  By utilizing the 'igraph' and
 'data.table' packages, the provided functions scale well for very large
 graphs.

Package: r-cran-careless
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-psych
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-careless_1.2.2-1.ca2004.1_all.deb
Size: 109836
MD5sum: c1664ed2b067b06d109bdce3ec290efc
SHA1: 0b7afac893059ec587c55a0333cdce7deb142277
SHA256: 14f4f3f83a0774a35f24b1ee1c48e6780c8eed8a69fe5838b4e61092b1929cc0
SHA512: 1e327e70f59b8e35d61fffd7dc000a397a78a8a00f79128e72f48d011ea1d1312ace04116069d3c558448842b22a91534d2fc12290eadc5896acac960a8b0425
Homepage: https://cran.r-project.org/package=careless
Description: CRAN Package 'careless' (Procedures for Computing Indices of Careless Responding)
 When taking online surveys, participants sometimes respond to items without
 regard to their content. These types of responses, referred to as careless
 or insufficient effort responding, constitute significant problems for data
 quality, leading to distortions in data analysis and hypothesis testing,
 such as spurious correlations. The 'R' package 'careless' provides solutions
 designed to detect such careless / insufficient effort responses by allowing
 easy calculation of indices proposed in the literature. It currently
 supports the calculation of longstring, even-odd consistency, psychometric
 synonyms/antonyms, Mahalanobis distance, and intra-individual response
 variability (also termed inter-item standard deviation).  For a review of
 these methods, see Curran (2016) <doi:10.1016/j.jesp.2015.07.006>.

Package: r-cran-caresid
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ca, r-cran-ggplot2, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-caresid_0.1-1.ca2004.1_all.deb
Size: 23416
MD5sum: e672ee3ddd27421a4798f988a88733dc
SHA1: 17181e1ebb384ce59e334b0d576810bbe7b587ca
SHA256: e5dc96f9c85cf52c5dde3edb2f774b2f39b240e9f655d7e1d19b80227d403910
SHA512: 6285e0c0c8392c85018e563fb6c1236de1a4dcc00df7c6d0986cd2db6bc58771d29554d63ff828ae1a025bfde3b7c8f184ed16ef955d994d231af32de5efe70c
Homepage: https://cran.r-project.org/package=caresid
Description: CRAN Package 'caresid' (Correspondence Analysis Plot and Associations Visualisation)
 Performs a Correspondence Analysis (CA) on a contingency table and creates a
 scatterplot of the row and column points on the selected dimensions.
 Optionally, the function can add segments to the plot to visualize
 significant associations between row and column categories on the basis of
 positive (unadjusted) standardized residuals larger than a given threshold.

Package: r-cran-caretensemble
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3509
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-data.table, r-cran-ggplot2, r-cran-lattice, r-cran-patchwork, r-cran-pbapply, r-cran-rlang
Suggests: r-cran-mass, r-cran-catools, r-cran-covr, r-cran-earth, r-cran-gbm, r-cran-glmnet, r-cran-klar, r-cran-knitr, r-cran-lintr, r-cran-mgcv, r-cran-mlbench, r-cran-nnet, r-cran-randomforest, r-cran-rmarkdown, r-cran-rhub, r-cran-rpart, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-caretensemble_4.0.1-1.ca2004.1_all.deb
Size: 3277636
MD5sum: ad6243725791d0f2daa7f53268e2b9d7
SHA1: c72a33b5326e85d7999dff190733aff70f36e271
SHA256: 3169b43de3647031ba9fef557e5c99c94fd71dc766da5fbde1d8e57932f42756
SHA512: 0831fd76baced5565ab1ebb0fad825b9234095305d73ce2d2448bc354fe0bb835f99e3f109ba0cdb44211b61f4caaba0e852dacd7bd752aeab1246c71559f840
Homepage: https://cran.r-project.org/package=caretEnsemble
Description: CRAN Package 'caretEnsemble' (Ensembles of Caret Models)
 Functions for creating ensembles of caret models: caretList() and
 caretStack(). caretList() is a convenience function for fitting multiple
 caret::train() models to the same dataset. caretStack() will make linear or
 non-linear combinations of these models, using a caret::train() model as a
 meta-model.

Package: r-cran-caretforecast
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-forecast, r-cran-caret, r-cran-magrittr, r-cran-dplyr, r-cran-generics
Suggests: r-cran-cubist, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-caretforecast_0.1.1-1.ca2004.1_all.deb
Size: 500756
MD5sum: c06d945c81d8bd18e5c529c50df4bc5d
SHA1: fd8b1e6881c732270b164ac58c7b33d9252f59ba
SHA256: ca6e97886742f1a053cdfd98ee94e0444722a798372d72c35a3ee15a4c12f743
SHA512: c8d3a7dee958f5560a9e690c29f8a33954964b59fb4fc9827a1719ff69a7b4443aab441046f185ff983826e8fdd2c7e6a9e22673e4bb075d42781ca9a6f8210b
Homepage: https://cran.r-project.org/package=caretForecast
Description: CRAN Package 'caretForecast' (Conformal Time Series Forecasting Using State of Art MachineLearning Algorithms)
 Conformal time series forecasting using the caret infrastructure.  It
 provides access to state-of-the-art machine learning models for forecasting
 applications. The hyperparameter of each model is selected based on time
 series cross-validation, and forecasting is done recursively.

Package: r-cran-carfima
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-pracma, r-cran-truncnorm, r-cran-invgamma
Filename: pool/dists/focal/main/r-cran-carfima_2.0.2-1.ca2004.1_all.deb
Size: 70168
MD5sum: 6e5a4c3157fbd630df46444605a7526f
SHA1: 77f8596f21803ea615315398c135911f7c0ad3de
SHA256: f0d85ef6ad3b919c2cb73ff69777b2d597c12d692ba1b3573f4c5d05d5332910
SHA512: 3ec06642448b8980b9a5c4eb0943d193b3532afc19302bc94262f1d22a6b91290d7c3cc54c1a02ac0ca2a57cc4f9e86d4172f0d01a433a51138fa0aa6992e13d
Homepage: https://cran.r-project.org/package=carfima
Description: CRAN Package 'carfima' (Continuous-Time Fractionally Integrated ARMA Process forIrregularly Spaced Long-Memory Time Series Data)
 We provide a toolbox to fit a continuous-time fractionally integrated ARMA
 process (CARFIMA) on univariate and irregularly spaced time series data via
 both frequentist and Bayesian machinery. A general-order CARFIMA(p, H, q)
 model for p>q is specified in Tsai and Chan (2005)
 <doi:10.1111/j.1467-9868.2005.00522.x> and it involves p+q+2 unknown model
 parameters, i.e., p AR parameters, q MA parameters, Hurst parameter H, and
 process uncertainty (standard deviation) sigma. Also, the model can account
 for heteroscedastic measurement errors, if the information about measurement
 error standard deviations is known. The package produces their maximum
 likelihood estimates and asymptotic uncertainties using a global optimizer
 called the differential evolution algorithm. It also produces posterior
 samples of the model parameters via Metropolis-Hastings within a Gibbs
 sampler equipped with adaptive Markov chain Monte Carlo. These fitting
 procedures, however, may produce numerical errors if p>2. The toolbox also
 contains a function to simulate discrete time series data from CARFIMA(p, H,
 q) process given the model parameters and observation times.

Package: r-cran-cargo
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-cargo_0.4.9-1.ca2004.1_all.deb
Size: 253072
MD5sum: 660d4e0633ee344c3aedcb7f63b84bb7
SHA1: a8d8dc3b4c276fc99b4cd3d7c4f685ac7b9e5f8c
SHA256: d1f96f2340c6490eed00981858cdb101be4c2ac2a64d8d92fb09e855585e39f3
SHA512: 40964d4a88bc67962a32f68536ef49fe12fc364e7735f94c95da4d88e892b3b9707f1538b7acf4b45c24ba070cb37977f873e9ef786bfd9399a535495b82cb80
Homepage: https://cran.r-project.org/package=cargo
Description: CRAN Package 'cargo' (Develop R Packages using Rust)
 A framework is provided to develop R packages using 'Rust'
 <https://www.rust-lang.org/> with minimal overhead, and more wrappers are
 easily added. Help is provided to use 'Cargo'
 <https://doc.rust-lang.org/cargo/> in a manner consistent with CRAN
 policies. 'Rust' code can also be embedded directly in an R script. The
 package is not official, affiliated with, nor endorsed by the Rust project.

Package: r-cran-caribou
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-caribou_1.1-1-1.ca2004.1_all.deb
Size: 53100
MD5sum: fde4fcf32ed08503e5a466165a7acf87
SHA1: 3f58e1320c98184993e648a7c91b6f64b00b69d0
SHA256: 7974e64207369bb3127c75fe0151e250c5fd814b668598d727ef9ba974ba5265
SHA512: 2c1ed8cab6d622080fb0162e28969b66ff2630aac6b7f2a3908a30ae85c1240a0924e2079d19ae2d697408aca74f84bd211e7acfb0118211e5cb7cdb1cec59b8
Homepage: https://cran.r-project.org/package=caribou
Description: CRAN Package 'caribou' (Estimation of Caribou Abundance Based on Radio Telemetry Data)
 Estimation of population size of migratory caribou herds based on large
 scale aggregations monitored by radio telemetry. It implements the
 methodology found in the article by Rivest et al. (1998) about caribou
 abundance estimation. It also includes a function based on the
 Lincoln-Petersen Index as applied to radio telemetry data by White and
 Garrott (1990).

Package: r-cran-carletonstats
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-patchwork
Suggests: r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-carletonstats_2.2-1.ca2004.1_all.deb
Size: 168208
MD5sum: 043ff4e1578991c5e8233ea06f8a7b7e
SHA1: 1f34a4aa1a88b0c2cfb41e140e665c04856862ac
SHA256: b399f256df90bc45cbbdfa0aeea46693518feb5afb7a1aed447ea694fb638e36
SHA512: ca6b9fef232f857c0bf92f1265c452f2f6e87cbdc767ff8aae1aac7d83da0d9697c738d739a99a184b1e44c22b7dad7ebbf9f63ca6f1700c14496b9f56f8d19b
Homepage: https://cran.r-project.org/package=CarletonStats
Description: CRAN Package 'CarletonStats' (Functions for Statistics Classes at Carleton College)
 Includes commands for bootstrapping and permutation tests, a command for
 created grouped bar plots, and a demo of the quantile-normal plot for data
 drawn from different distributions.

Package: r-cran-carlit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-carlit_1.0-1.ca2004.1_all.deb
Size: 28932
MD5sum: 4ef2e2146cc9f6f16daafd4b21f7bfaf
SHA1: 07b70b4923bba71100a2bf3dae47080521efe021
SHA256: e20fde496c05633c38293e8c37285d43aa13995011fa946d9b08c0e7101cb690
SHA512: 606cf3da390f1f648f4891c234f03c9693f296841af1edb3e25b33fe61fd2d76f20e0a2cee88bbacd2fd6a18ccf94f0e86f1980c47f3656b72988cc3caa006d9
Homepage: https://cran.r-project.org/package=CARLIT
Description: CRAN Package 'CARLIT' (Ecological Quality Ratios Calculation and Plot)
 Functions to calculate and plot ecological quality ratios (EQR) as specified
 by Ballesteros et al. 2007.

Package: r-cran-carm
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arrangements, r-cran-dplyr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-carm_1.1.0-1.ca2004.1_all.deb
Size: 30256
MD5sum: 7fcb116e6ba04e48dddea33903ed227f
SHA1: 67020e0c102cef89644ce64c056499217509a404
SHA256: 22594c86c841e1a520e753aee7c8d139b77462083b27cc6e64abe3e88a42a76d
SHA512: 5511388072a089af029e7eeb22907fa7d74d8a82d529333a9de8b342bff860c3df5cb538ba3b1f3aa8b96f7e298683b44a4b6315a0c75f8b1e9c0f27d26777cd
Homepage: https://cran.r-project.org/package=CARM
Description: CRAN Package 'CARM' (Covariate-Adjusted Adaptive Randomization viaMahalanobis-Distance)
 In randomized controlled trial (RCT), balancing covariate is often one of
 the most important concern. CARM package provides functions to balance the
 covariates and generate allocation sequence by covariate-adjusted Adaptive
 Randomization via Mahalanobis-distance (ARM) for RCT. About what ARM is and
 how it works please see Y. Qin, Y. Li, W. Ma, H. Yang, and F. Hu (2022).
 "Adaptive randomization via Mahalanobis distance" Statistica Sinica.
 <doi:10.5705/ss.202020.0440>. In addition, the package is also suitable for
 the randomization process of multi-arm trials. For details, please see Yang
 H, Qin Y, Wang F, et al. (2023). "Balancing covariates in multi-arm trials
 via adaptive randomization" Computational Statistics & Data
 Analysis.<doi:10.1016/j.csda.2022.107642>.

Package: r-cran-caroc
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-caroc_0.1.5-1.ca2004.1_all.deb
Size: 227072
MD5sum: 0b63a8aaad5ad8f55e2a982f21b564e2
SHA1: 7273d3e760d0053baf7544a2c28fd88b96d51351
SHA256: 6ab906c7a9558d8d409a21163aff56962e07fc2c114030dea32a6094109c54b0
SHA512: 0ff9648fa9cb0de19c0f0381273a78b18adc95c13c373b76d2cdae5979e3fdadac59dc4556f1dc2de2d172bcf28bcd3aada0afd42537e7949a8a347241d31060
Homepage: https://cran.r-project.org/package=caROC
Description: CRAN Package 'caROC' (Continuous Biomarker Evaluation with Adjustment of Covariates)
 Compute covariate-adjusted specificity at controlled sensitivity level, or
 covariate-adjusted sensitivity at controlled specificity level, or
 covariate-adjust receiver operating characteristic curve, or
 covariate-adjusted thresholds at controlled sensitivity/specificity level.
 All statistics could also be computed for specific sub-populations given
 their covariate values. Methods are described in Ziyi Li, Yijian Huang,
 Datta Patil, Martin G. Sanda (2021+) "Covariate adjustment in continuous
 biomarker assessment".

Package: r-cran-caroline
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-caroline_0.9.9-1.ca2004.1_all.deb
Size: 203764
MD5sum: 506cdb01aa172485775ead7be5c4bec3
SHA1: 29a523eec0fcacec35cf73ae070735114b4efda5
SHA256: c0e97ccb9b5a7acd561a42e075d52fcc573191204e51dbad0c68baae8ee8c011
SHA512: d2b9e8975f15e97e4e25a835adee02c71fd5fc98f6d5ce58fff23079c3051ad9431c8ebd97079a7ac20a649ffb18fe21e8daa540fe377f93266037ef7a9b0e1a
Homepage: https://cran.r-project.org/package=caroline
Description: CRAN Package 'caroline' (A Collection of Database, Data Structure, Visualization, andUtility Functions for R)
 The caroline R library contains dozens of functions useful for: database
 migration (dbWriteTable2), database style joins & aggregation (nerge,
 groupBy, & bestBy), data structure conversion (nv, tab2df), legend table
 making (sstable & leghead), automatic legend positioning for scatter and box
 plots (), plot annotation (labsegs & mvlabs), data visualization (pies,
 sparge, confound.grid & raPlot), character string manipulation (m & pad),
 file I/O (write.delim), batch scripting, data exploration, and more.  The
 package's greatest contributions lie in the database style merge,
 aggregation and interface functions as well as in it's extensive use and
 propagation of row, column and vector names in most functions.

Package: r-cran-carpenter
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-pander, r-cran-lazyeval, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-carpenter_0.2.2-1.ca2004.1_all.deb
Size: 57368
MD5sum: a2946d8b509cff628ec4ba25d36f7cce
SHA1: a0c5ed357dc38a116d29e05d09d79c50c56b7e77
SHA256: c373bfd5fa8448b1a51b12778b21fc815aae39dc0f947febef96a5264526be73
SHA512: 03552a27052fb1a02c8fc7c47cea8a756cb03dc73f388e1f2aa5366fa8e84ea43e0d43e377d54c50dd6766fadbeba4cd0cda4ed314fa647fcd29c8f63cda67a4
Homepage: https://cran.r-project.org/package=carpenter
Description: CRAN Package 'carpenter' (Build Common Tables of Summary Statistics for Reports)
 Mainly used to build tables that are commonly presented for
 bio-medical/health research, such as basic characteristic tables or
 descriptive statistics.

Package: r-cran-carpools
Architecture: all
Version: 0.83-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4825
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-venndiagram, r-bioc-deseq2, r-cran-sm, r-bioc-biomart, r-cran-seqinr, r-cran-scatterplot3d, r-cran-xlsx
Suggests: r-bioc-biocgenerics, r-cran-knitr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-carpools_0.83-1.ca2004.1_all.deb
Size: 3374660
MD5sum: 81d21cb5030c6f7a57ab262663fd3138
SHA1: 888e9d7ad4f0b264aa6ff6c06909426c13566ec1
SHA256: 674b69d3b0f0897d9b94c8498d5e6c4e782a768160894877f288eda8f3e013d8
SHA512: c3e4374dabec5b8b0e18bff675fbfa73d0961df8ca390fcb45dccdd1d104163cdeb1a7c333ddc1615abe5871f0f46caa70395c0c91084266f69e6a6e6f190548
Homepage: https://cran.r-project.org/package=caRpools
Description: CRAN Package 'caRpools' (CRISPR AnalyzeR for Pooled CRISPR Screens)
 CRISPR-Analyzer for pooled CRISPR screens (caRpools) provides an end-to-end
 analysis of CRISPR screens including quality control, hit candidate
 analysis, visualization and automated report generation using R markdown.
 Needs MAGeCK (http://sourceforge.net/p/mageck/wiki/Home/), bowtie2 for all
 functions. CRISPR (clustered regularly interspaced short palindromic
 repeats) is a method to perform genome editing. See
 <https://en.wikipedia.org/wiki/CRISPR> for more information on CRISPR.

Package: r-cran-carrier
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lobstr, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-carrier_0.2.0-1.ca2004.1_all.deb
Size: 24720
MD5sum: af160c8ad8d403865bed68c55634b084
SHA1: c9b02fe555fc9fad1d69d17997966a3eb8564ce3
SHA256: 808ac773c8cda49d1a71fa3770def1ffc9ee68c068e1fa9361eace370a0c1c1e
SHA512: f8d48495328eda03e680d404a3cca703b22710495d559b2fc700d443e75bc96bfb7a42b1bfad0d6ae9d58cabd0299a405fc6ce97a1fa7ed64096145fa2aa5571
Homepage: https://cran.r-project.org/package=carrier
Description: CRAN Package 'carrier' (Isolate Functions for Remote Execution)
 Sending functions to remote processes can be wasteful of resources because
 they carry their environments with them. With the carrier package, it is
 easy to create functions that are isolated from their environment. These
 isolated functions, also called crates, print at the console with their
 total size and can be easily tested locally before being sent to a remote.

Package: r-cran-cars
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-np
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cars_0.2.2-1.ca2004.1_all.deb
Size: 28076
MD5sum: be689dce94a96ebbdab336fff7f2ac5b
SHA1: 4421c5afe9d33b1950ee80896e3a659bae6f33c6
SHA256: f09bc50a0b0f3a449ecbff70d9811447ba7cd1b9c4721c98e948ab6bd1cf181d
SHA512: 21fb8c419a0d241119f362938d62132c20b56c046209a48101bb22b31c0df12a21144f8dbd6df74b5ebe8485c6356657c73981dd41f96b966310710006626ff6
Homepage: https://cran.r-project.org/package=CARS
Description: CRAN Package 'CARS' (Covariate Assisted Ranking and Screening for Large-ScaleTwo-Sample Inference)
 It implements the CARS procedure, which is a two-sample multiple testing
 procedure that utilizes an additional auxiliary variable to capture the
 sparsity information, hence improving power. The CARS procedure is shown to
 be asymptotically valid and optimal for FDR control. For more information,
 please see the website <http://www-bcf.usc.edu/~wenguans/Papers/CARS.html>
 and the accompanying paper.

Package: r-cran-cartograflow
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-plotly, r-cran-reshape2, r-cran-rlang, r-cran-sf, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-cartography
Filename: pool/dists/focal/main/r-cran-cartograflow_1.0.5-1.ca2004.1_all.deb
Size: 346532
MD5sum: 140933716141857923df8e84ea7936ac
SHA1: 4059d1ac451266f85d49b43e23faf9d94121bfaf
SHA256: 1e768c84bbc7ade59e91923903738747edc911cd060987658c2e1eec6cdbdb2c
SHA512: 696a8cd237c9c6e974f3a00fabc5db3f113d22d03eb96bfb405748a37c72ff9a34d2337dd48fce7452bc1d50ada5edc3a05ec3e6446fb1e56a408fc4ef84a9e6
Homepage: https://cran.r-project.org/package=cartograflow
Description: CRAN Package 'cartograflow' (Filtering Matrix for Flow Mapping)
 Functions to prepare and filter an origin-destination matrix for thematic
 flow mapping purposes.  This comes after Bahoken, Francoise (2016), Mapping
 flow matrix a contribution, PhD in Geography - Territorial sciences. See
 Bahoken (2017) <doi:10.4000/netcom.2565>.

Package: r-cran-cartogram
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-packcircles
Filename: pool/dists/focal/main/r-cran-cartogram_0.3.0-1.ca2004.1_all.deb
Size: 263696
MD5sum: 6f7e7e737f57a047e638d31a142178e8
SHA1: 078413afe2c03748102752586444de3368d2321d
SHA256: 2c747dcdab3b5c42dcaaf7ad33839f75e4cddac3be76d4f88446cf31742be55a
SHA512: 49e0ac2beb039c863505f7381c29b2c057affb5159aa250742df62759fcc782c43874cb346327e7f443911e02b70553c2fa29368535555ac6f09a58d96a579d2
Homepage: https://cran.r-project.org/package=cartogram
Description: CRAN Package 'cartogram' (Create Cartograms with R)
 Construct continuous and non-contiguous area cartograms.

Package: r-cran-cartographr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-osmdata, r-cran-ggplot2, r-cran-showtext, r-cran-sysfonts, r-cran-sf
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cartographr_0.2.2-1.ca2004.1_all.deb
Size: 2228184
MD5sum: 2ec4d7ee20ca3b2da3495916e2164e80
SHA1: e21e936fac5066070e6adc3101a1d706f0519853
SHA256: 71ebfd29c6af99b7d6f4f10919ed605d642b21d3a261434f9ddea7c4ad630e7d
SHA512: f79ec45244c91a8ac0ba3e4a2839850158d5fff244ffd99cf98862459fb79fb62671c15d186b8db718186fc831ee4081b982bd27b35a6f298a62bf68f3754071
Homepage: https://cran.r-project.org/package=cartographr
Description: CRAN Package 'cartographr' (Crafting Print-Ready Maps and Layered Visualizations)
 Simplifying the creation of print-ready maps, this package offers a
 user-friendly interface derived from 'ggplot2' for handling OpenStreetMap
 data. It streamlines the map-making process, allowing users to focus on the
 story their maps tell. Transforming raw geospatial data into informative
 visualizations is made easy with simple features 'sf' geometries. Whether
 for urban planning, environmental studies, or impactful public
 presentations, this tool facilitates straightforward and effective map
 creation. Enhance the dissemination of spatial information with
 high-quality, narrative-driven visualizations!

Package: r-cran-cartools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-animation, r-cran-devtools, r-cran-dplyr, r-cran-gapminder, r-cran-ggplot2, r-cran-knitr, r-cran-rlist, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sde, r-cran-shiny, r-cran-tidyverse, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-cartools_0.1.0-1.ca2004.1_all.deb
Size: 831116
MD5sum: 0447e2963f331fb2c03da093542b6104
SHA1: 7a48d4608917ef77af91dce2d931e5dfa0825b7f
SHA256: 3da46c5bc2eca42ff9d42aa4651719f5fbfd7034bd20ff80cb86ed41ed780383
SHA512: 6672670e0421b01cc0d1cf5239d9b1ad161bf21aa47a0128c735ff2ab528264542e33380f39066be57d1022167a61e3f671eae640d59a8d5d5ebb6966d2606a1
Homepage: https://cran.r-project.org/package=cartools
Description: CRAN Package 'cartools' (Tools for Understanding Highway Performance)
 Analytical tools are designed to help people understand the complex
 relationships associated with freeway performance and traffic breakdown.
 Emphasis is placed on: (1) Traffic noise or volatility; (2) Driver behavior
 and safety; and (3) Stochastic modeling, models that explain breakdown and
 performance.

Package: r-cran-carx
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmvtnorm, r-cran-mvtnorm, r-cran-matrixstats, r-cran-xts, r-cran-zoo, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-carx_0.7.1-1.ca2004.1_all.deb
Size: 178460
MD5sum: f58a3ebc86377ba1e9bebcf22b90153c
SHA1: a96a5f87c86ddd8ea0e04ca0d409d3d7dd018ab8
SHA256: 74a46b0a5f66949ba62185f68aa2d1344f41fd778e07aaec3194043a24e6d17f
SHA512: 284c6b2ebeef86b4c00ea132dd19a1d0be31652efdc12a6a0324ef736375e07020eb22a9dd81c6e7ae4cb9f57a6a0505c968e495a98781ee314e917b176a1853
Homepage: https://cran.r-project.org/package=carx
Description: CRAN Package 'carx' (Censored Autoregressive Model with Exogenous Covariates)
 A censored time series class is designed. An estimation procedure is
 implemented to estimate the Censored AutoRegressive time series with
 eXogenous covariates (CARX), assuming normality of the innovations. Some
 other functions that might be useful are also included.

Package: r-cran-casabourse
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gsheet, r-cran-rvest, r-cran-rjsonio, r-cran-r.utils
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-casabourse_2.0.0-1.ca2004.1_all.deb
Size: 48228
MD5sum: f6ec9cd415a8a52d7379929ef560123a
SHA1: 1279201df4a9afcebb197c7c9c4166c623cdb966
SHA256: 73d8cee48d6ed251c7e05a39db1432da5cf1411b26cd2d010dc89a6555bb6093
SHA512: 5437e85d5d7e294c16fee3836e5cfdc704801df630934338e02982fe9aa9a9bdc5d1249b0c3c9706eab922637fe8fa5cd20eb6320eb25bcfc11fd606239795dd
Homepage: https://cran.r-project.org/package=casabourse
Description: CRAN Package 'casabourse' (Casablanca Stock Exchange Data)
 It provides real-time data from the Casablanca Stock Exchange. The objective
 is to facilitate access to data for all users of the R programming language.
 It includes a variety of data accessible just by function call.

Package: r-cran-cascade
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2361
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind, r-cran-animation, r-cran-cluster, r-cran-igraph, r-cran-lars, r-cran-lattice, r-bioc-limma, r-cran-magic, r-cran-nnls, r-cran-survival, r-cran-tnet, r-cran-vgam
Suggests: r-cran-r.rsp, r-cran-cascadedata, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cascade_2.1-1.ca2004.1_all.deb
Size: 2063900
MD5sum: 8c9c8cdefbabb408f3ebf88ff71eb857
SHA1: 09b13c31e52bbda9d1ad105fc37bd478bf57707b
SHA256: 684bee91d47b3b391931c967d7e3de9881096b8007b528ec68959b0cde6d77f7
SHA512: 47b842b4e09013846b59891c30e85eb98460aa09aa3e0e5859fb2af8246434e826ee8c40950d90edad2cb73e34bcbcb94b153bc384e35f34717a62814642dd20
Homepage: https://cran.r-project.org/package=Cascade
Description: CRAN Package 'Cascade' (Selection, Reverse-Engineering and Prediction in CascadeNetworks)
 A modeling tool allowing gene selection, reverse engineering, and prediction
 in cascade networks. Jung, N., Bertrand, F., Bahram, S., Vallat, L., and
 Maumy-Bertrand, M. (2014) <doi:10.1093/bioinformatics/btt705>.

Package: r-cran-cascadedata
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4220
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cascadedata_1.4-1.ca2004.1_all.deb
Size: 4286656
MD5sum: c363cb0a65909fe810460035180b098c
SHA1: dd954627137391c09e235dcb237dcc63711e9cf2
SHA256: b299f87a2387df1dee5b9787c13d4780952ddc6c6cd1d19f7a5ec3842481b6ce
SHA512: 41c2f82e5ee23ca547fa2b013cc557e2c9e5beca7e030d94eb0ec2ad2baf885160b077d9ce3262d6293640cac89835ec8826cfe02adff0d2d843f32be60b2550
Homepage: https://cran.r-project.org/package=CascadeData
Description: CRAN Package 'CascadeData' (Experimental Data of Cascade Experiments in Genomics)
 These experimental expression data (5 leukemic 'CLL' B-lymphocyte of
 aggressive form from 'GSE39411', <doi:10.1073/pnas.1211130110>), after
 B-cell receptor stimulation, are used as examples by packages such as the
 'Cascade' one, a modeling tool allowing gene selection, reverse engineering,
 and prediction in cascade networks. Jung, N., Bertrand, F., Bahram, S.,
 Vallat, L., and Maumy-Bertrand, M. (2014)
 <doi:10.1093/bioinformatics/btt705>.

Package: r-cran-cascadeselect
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12398
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-reactr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-cascadeselect_1.1.0-1.ca2004.1_all.deb
Size: 810728
MD5sum: 09d439665ff1ea409054055f59bd0418
SHA1: c9e11ba7d6671d29aaf02cdbc064aaf768a2b1f5
SHA256: 76fe00937bdc577adb71cd8e58c07bfcba3af4aefe3bf0aa8ac0308060d974ce
SHA512: 295f26bc77ea1f6de1b791690b2a9d742580f9f4979a0bc371c1b6b275391e6a1f28f895d8a00b4bf932bbe884a2aecf2067b3485e5bcd7e83742d7c784de773
Homepage: https://cran.r-project.org/package=cascadeSelect
Description: CRAN Package 'cascadeSelect' (A Cascade Select Input for 'Shiny')
 Provides a cascade select widget for usage in 'Shiny' applications. This is
 useful for selection of hierarchical choices (e.g. continent, country,
 city). It is taken from the 'JavaScript' library 'PrimeReact'.

Package: r-cran-cascadess
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-cli, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cascadess_0.2.0-1.ca2004.1_all.deb
Size: 179028
MD5sum: 6527e1c854c1ef73c1cf902729be1011
SHA1: 7e38d7f41b31b986316645751f4adbc18f5a15a8
SHA256: 19dffbc6b640b9654d047e54b90dc0232b54fe174ca71ad74900bd783c307ab8
SHA512: 74e3e2cfaf28fef18c8fd543bf6b61dd7df4feb9875239bea7a2cfb0a02c3d4ecf04301daa0f8fcb9751ecc4318f63d996bc172670eb1dbc97fee5d34458b81e
Homepage: https://cran.r-project.org/package=cascadess
Description: CRAN Package 'cascadess' (A Style Pronoun for 'htmltools' Tags)
 Apply styles to tag elements directly and with the .style pronoun. Using the
 pronoun, styles are created within the context of a tag element. Change
 borders, backgrounds, text, margins, layouts, and more.

Package: r-cran-caschrono
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2701
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-hmisc
Suggests: r-cran-dse, r-cran-expsmooth, r-cran-fbasics, r-cran-fgarch, r-cran-forecast, r-cran-polynom, r-cran-timeseries, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-caschrono_2.4-1.ca2004.1_all.deb
Size: 1781972
MD5sum: 6be8a7c03104cdfb2eb2e6f30aca3d5d
SHA1: 339bdd1ffe7e82ce6aab4794c6aeb9c3eb53bd3e
SHA256: ed5ffe4288b3aef89ec348288c2f193964662668979d92d2153649294ac3a94e
SHA512: 94952ab0c34395f0f22490ccbd118d0469782c7cb2279aa51a05a9961050479173fae7be79060319b1b8dc22040db575266bbf8855a16a2124d65d39d769532e
Homepage: https://cran.r-project.org/package=caschrono
Description: CRAN Package 'caschrono' (Series Temporelles Avec R)
 Functions, data sets and exercises solutions for the book Series Temporelles
 Avec R (Yves Aragon, edp sciences, 2016). For all chapters, a vignette is
 available with some additional material and exercises solutions.

Package: r-cran-cascore
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma
Suggests: r-cran-testthat, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-cascore_0.1.2-1.ca2004.1_all.deb
Size: 59224
MD5sum: 19b50d70eb3345100385271bfa0f5fcd
SHA1: 37d09bb36a1281f96fe86565de83d7692f226179
SHA256: 2c89c4d800485574fc5d78920345fa31c6bccda62cc2a85f992f113083f4ee10
SHA512: 2d059697c8cc4e52f200b714d218dda9bdfc76e39f03ad96514d57108159f65b50dfc6c02c3c6a379d0350fcb40301d8ee514c9d17471af444d84bbd21a47dfd
Homepage: https://cran.r-project.org/package=CASCORE
Description: CRAN Package 'CASCORE' (Covariate Assisted Spectral Clustering on Ratios of Eigenvectors)
 Functions for implementing the novel algorithm CASCORE, which is designed to
 detect latent community structure in graphs with node covariates. This
 algorithm can handle models such as the covariate-assisted degree corrected
 stochastic block model (CADCSBM). CASCORE specifically addresses the
 disagreement between the community structure inferred from the adjacency
 information and the community structure inferred from the covariate
 information. For more detailed information, please refer to the reference
 paper: Yaofang Hu and Wanjie Wang (2022) <arXiv:2306.15616>.  In addition to
 CASCORE, this package includes several classical community detection
 algorithms that are compared to CASCORE in our paper. These algorithms are:
 Spectral Clustering On Ratios-of Eigenvectors (SCORE), normalized PCA,
 ordinary PCA, network-based clustering, covariates-based clustering and
 covariate-assisted spectral clustering (CASC). By providing these additional
 algorithms, the package enables users to compare their performance with
 CASCORE in community detection tasks.

Package: r-cran-cascsim
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2html, r-cran-fitdistrplus, r-cran-moments, r-cran-copula, r-cran-scatterplot3d
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cascsim_0.4-1.ca2004.1_all.deb
Size: 665744
MD5sum: a0d34fd12d1848cf639258111f60db99
SHA1: 8aeeb1bd4224e5b12ca282bdb1aa990f2db89aa5
SHA256: 8e3ac5f586057430eb0c29c693a815c2621aaffe713316f84114e081b3942305
SHA512: 5b11be5f2bfd78582b8d6dde463d630d86f0789d9c24721d53315b0b7bafe32ccd7608aa6722f8850abecf7f97f263b5348c304f738b242db431c2d0dd0d9445
Homepage: https://cran.r-project.org/package=cascsim
Description: CRAN Package 'cascsim' (Casualty Actuarial Society Individual Claim Simulator)
 It is an open source insurance claim simulation engine sponsored by the
 Casualty Actuarial Society. It generates individual insurance claims
 including open claims, reopened claims, incurred but not reported claims and
 future claims. It also includes claim data fitting functions to help set
 simulation assumptions. It is useful for claim level reserving analysis.
 Parodi (2013)
 <https://www.actuaries.org.uk/documents/triangle-free-reserving-non-traditional-framework-estimating-reserves-and-reserve-uncertainty>.

Package: r-cran-casebase
Architecture: all
Version: 0.10.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3933
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-mgcv, r-cran-survival, r-cran-vgam
Suggests: r-cran-colorspace, r-cran-covr, r-cran-dplyr, r-cran-eha, r-cran-glmnet, r-cran-knitr, r-cran-lubridate, r-cran-progress, r-cran-rmarkdown, r-cran-testthat, r-cran-visreg
Filename: pool/dists/focal/main/r-cran-casebase_0.10.6-1.ca2004.1_all.deb
Size: 2919960
MD5sum: 2d490da41c5a7f8d530ed6121f2c33b4
SHA1: 6494206c8e9f2674d95838536b7ead86f4309fca
SHA256: 7bfc83a66d3ff0005a0859133f8ed3de2cd1ede632a1db1c1a803625866261d1
SHA512: 3c622a5b6a4693debc55f45e1482444983dbfe01d437dbb95b52fb0e52b3aa6f92caf0f8811d3e257659a369311994ffa05ace1e8c847776c0bbdbdfcf0b9538
Homepage: https://cran.r-project.org/package=casebase
Description: CRAN Package 'casebase' (Fitting Flexible Smooth-in-Time Hazards and Risk Functions viaLogistic and Multinomial Regression)
 Fit flexible and fully parametric hazard regression models to survival data
 with single event type or multiple competing causes via logistic and
 multinomial regression. Our formulation allows for arbitrary functional
 forms of time and its interactions with other predictors for time-dependent
 hazards and hazard ratios. From the fitted hazard model, we provide
 functions to readily calculate and plot cumulative incidence and survival
 curves for a given covariate profile. This approach accommodates any
 log-linear hazard function of prognostic time, treatment, and covariates,
 and readily allows for non-proportionality. We also provide a plot method
 for visualizing incidence density via population time plots. Based on the
 case-base sampling approach of Hanley and Miettinen (2009)
 <DOI:10.2202/1557-4679.1125>, Saarela and Arjas (2015)
 <DOI:10.1111/sjos.12125>, and Saarela (2015)
 <DOI:10.1007/s10985-015-9352-x>.

Package: r-cran-casematch
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-casematch_1.1.0-1.ca2004.1_all.deb
Size: 48216
MD5sum: e4c46e0e7626c86a222fb2c58ad3089f
SHA1: 845ffaa22cac0a974ecb841387715b45d8489e24
SHA256: 967da9ac4994b6b330fd84bdf5fc911cb6762ee0c457c8ecda0581adeee7a4f5
SHA512: c643248740d90c5c670677e820e6496173b4ae297d0eca22ca70627edd7847d1de67b6a122a5b86bed66f2804964130579432cfcf311d3cfbe43b954b8178048
Homepage: https://cran.r-project.org/package=caseMatch
Description: CRAN Package 'caseMatch' (Identify Similar Cases for Qualitative Case Studies)
 Allows users to identify similar cases for qualitative case studies using
 statistical matching methods.

Package: r-cran-casen
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-haven, r-cran-labelled, r-cran-glue, r-cran-magrittr, r-cran-tidyr, r-cran-survey, r-cran-srvyr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-broom, r-cran-janitor
Filename: pool/dists/focal/main/r-cran-casen_0.2.1-1.ca2004.1_all.deb
Size: 114836
MD5sum: 8b377e1d7d30d76ecca81c6373476dbc
SHA1: 68fcec422349fcc2b7f5200b9392731942179b1f
SHA256: 26c28a4d19110a5ab648cd1fc3325610064b678a340bf52bd230f3bdcd0001b8
SHA512: 16cc7a12368901bc250b5e00c881777affb555fe36775218041dcc897c4f7fa3c1b6458abf3001c10db264fbe782bfe11e6c83432d32c1bec1788a4999ad9dc2
Homepage: https://cran.r-project.org/package=casen
Description: CRAN Package 'casen' (Metodos De Estimacion Con Disenio Probabilistico y Estratificadoen Encuesta CASEN (Estimation Methods with ProbabilisticStratified Sampling in CASEN Survey))
 Funciones para realizar estadistica descriptiva e inferencia con el disenio
 complejo de la Encuesta CASEN (Encuesta de Caracterizacion Socio-Economica).
 Incluye datasets que permiten armonizar los codigos de comunas que cambian
 entre anios y permite convertir a los codigos oficiales de SUBDERE.
 (Functions to compute descriptive and inferential statistics with CASEN
 Survey [Socio-Economic Characterization Survey] complex design. Includes
 datasets to harmonize commune codes that change across years and allows to
 convert to official SUBDERE codes.)

Package: r-cran-cases
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bindata, r-cran-boot, r-cran-copula, r-cran-corrplot, r-cran-dplyr, r-cran-extradistr, r-cran-magrittr, r-cran-matrix, r-cran-multcomp, r-cran-mvtnorm, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-badger, r-cran-glmnet, r-cran-splitstackshape
Filename: pool/dists/focal/main/r-cran-cases_0.2.0-1.ca2004.1_all.deb
Size: 250896
MD5sum: 1512808b48b41c18973fb76a3375440b
SHA1: d49fd40e2927bb0a234c38b857a6b49ace665222
SHA256: b295d8ca9790e8efdf1b886186ae7ca946260073a0cf9205e676fce4f61d544a
SHA512: ef73c6ab42bcf80f8f89169fbce2b2028e15f834db9b5cb942ba95005ea537ed691ce05239b428f23d844b44450a29c3ec1a59291a41b52205f09c633bf30a29
Homepage: https://cran.r-project.org/package=cases
Description: CRAN Package 'cases' (Stratified Evaluation of Subgroup Classification Accuracy)
 Enables simultaneous statistical inference for the accuracy of multiple
 classifiers in multiple subgroups (strata). For instance, allows to perform
 multiple comparisons in diagnostic accuracy studies with co-primary
 endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical
 inference for diagnostic test accuracy studies with multiple comparisons.
 Statistical Methods in Medical Research. 2024;0(0).
 <doi:10.1177/09622802241236933>).

Package: r-cran-casino
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-crayon, r-cran-r6, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-beepr
Filename: pool/dists/focal/main/r-cran-casino_0.1.0-1.ca2004.1_all.deb
Size: 350176
MD5sum: b4f4d5bf938041113aa4c67813b16774
SHA1: 7af866012144496a31eacb14e895b09cf29af976
SHA256: 1927590ec9d52fddd8a91da17b33b73cfe97d6a5c27b495cb26e345068059324
SHA512: ca4b6bb8d6e71cca8c099f19d96bda47d832967c186a754d8991be2c67a6af28b08b64bc299f243113f66b506d5389aa37957854d6d34f1be93406a10decdda9
Homepage: https://cran.r-project.org/package=casino
Description: CRAN Package 'casino' (Play Casino Games)
 Play casino games in the R console, including poker, blackjack, and a slot
 machine.  Try to build your fortune before you succumb to the gambler's
 ruin!

Package: r-cran-casmi
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-entropyestimation, r-cran-entropy
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-casmi_2.0.0-1.ca2004.1_all.deb
Size: 63168
MD5sum: c7e6148cfccd351113b03b2d58f0ce77
SHA1: e30d181a28afb936dc3b425b66830f81c3ef8b65
SHA256: e8c78ac29eb44bdfd47792cf42636c6ee5a5f13d727e75c44a1d52f90e3d7e0f
SHA512: c4839219109ff0ffbc2d537c840e8a1579738c1fbf820744d2f2b7cc0e5ee8b9623a8ffdf158d9ebad8b4db2a9b17b85afd79ec2a7ebab851b3bc5738f045c71
Homepage: https://cran.r-project.org/package=CASMI
Description: CRAN Package 'CASMI' ('CASMI'-Based Functions)
 Contains Coverage Adjusted Standardized Mutual Information ('CASMI')-based
 functions. 'CASMI' is a fundamental concept of a series of methods. For more
 information about 'CASMI' and 'CASMI'-related methods, please refer to the
 corresponding publications (e.g., a feature selection method, Shi, J.,
 Zhang, J., & Ge, Y. (2019) <doi:10.3390/e21121179>, and a dataset quality
 measurement method, Shi, J., Zhang, J., & Ge, Y. (2019)
 <doi:10.1109/ICHI.2019.8904553>) or contact the package author for the
 latest updates.

Package: r-cran-cassandra
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bipartite, r-cran-reshape2, r-cran-magrittr, r-cran-vegan, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-boot, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-proc, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-cassandra_0.2.0-1.ca2004.1_all.deb
Size: 166760
MD5sum: e300d440e9a4a0f88ea8f4aa6a0c6873
SHA1: 429581dd2c8bb2032054ba198de788a061704f01
SHA256: 3523c18654300b993626e7348d48a7ed5092cb54008d979ca1dd8916df941881
SHA512: 89eadf6c4efdf023929034ac835305a3011c555d6dbaece5fc687ce3f79637841baf4ff6c1d95268ef622f0c98e462ebf272bae14c2107060f7b687e160ebbaf
Homepage: https://cran.r-project.org/package=cassandRa
Description: CRAN Package 'cassandRa' (Finds Missing Links and Metric Confidence Intervals inEcological Bipartite Networks)
 Provides methods to deal with under sampling in ecological bipartite
 networks from Terry and Lewis (2020) Ecology <doi:10.1002/ecy.3047> Includes
 tools to fit a variety of statistical network models and sample coverage
 estimators to highlight most likely missing links. Also includes simple
 functions to resample from observed networks to generate confidence
 intervals for common ecological network metrics.

Package: r-cran-cassowaryr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 605
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-alphahull, r-cran-splancs, r-cran-interp, r-cran-energy, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-progress, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-mgcv, r-cran-ggally, r-cran-tidyr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cassowaryr_2.0.2-1.ca2004.1_all.deb
Size: 508508
MD5sum: 89b0d9a4cbe8c2f888d44aac86ccbd63
SHA1: 8aec012ae7653133b0c5d8654c807cddb0427416
SHA256: c5e7f17ac7487c68cf592b0a98a590450db2a144f70437ef2df3546641c70ebf
SHA512: 752c17a53aa850ea52db087376bd9a277096615ebb840cc717ed44bd9f68ec40e6b75c15f6b72b55f5e668b4f745aa40a66337b8d48bb0bf43216d8cc5a25763
Homepage: https://cran.r-project.org/package=cassowaryr
Description: CRAN Package 'cassowaryr' (Compute Scagnostics on Pairs of Numeric Variables in a Data Set)
 Computes a range of scatterplot diagnostics (scagnostics) on pairs of
 numerical variables in a data set. A range of scagnostics, including graph
 and association-based scagnostics described by Leland Wilkinson and Graham
 Wills (2008) <doi:10.1198/106186008X320465> and association-based
 scagnostics described by Katrin Grimm (2016,ISBN:978-3-8439-3092-5) can be
 computed. Summary and plotting functions are provided.

Package: r-cran-cast
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4961
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-ggplot2, r-cran-fnn, r-cran-plyr, r-cran-zoo, r-cran-data.table, r-cran-sf, r-cran-forcats, r-cran-twosamples, r-cran-terra, r-cran-sp
Suggests: r-cran-doparallel, r-cran-lubridate, r-cran-randomforest, r-cran-knitr, r-cran-geodata, r-cran-mapview, r-cran-rmarkdown, r-cran-scales, r-cran-gridextra, r-cran-viridis, r-cran-stars, r-cran-scam, r-cran-rnaturalearth, r-cran-mass, r-cran-rcolorbrewer, r-cran-tmap, r-cran-pcamixdata, r-cran-gower, r-cran-clustmixtype, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cast_1.0.3-1.ca2004.1_all.deb
Size: 3709332
MD5sum: 4039b96018fdecb667c17ad5a3e4bc2c
SHA1: e40ca7a63bf9a4aaf1a9a2957ba761fc9a3244a4
SHA256: 2b41d4c9161d6b2212d3a7e41ed840ad48321d50eea2a2b79eb7d01bc38397eb
SHA512: 665c5c613111a5b5a3db3f6de5efab2a5a6267c11800b91b7f6d4f2e18e3103aa08464c4f31bfd4cbb53625ee159c725a99e2c67ca11074764295549515563bb
Homepage: https://cran.r-project.org/package=CAST
Description: CRAN Package 'CAST' ('caret' Applications for Spatial-Temporal Models)
 Supporting functionality to run 'caret' with spatial or spatial-temporal
 data. 'caret' is a frequently used package for model training and prediction
 using machine learning. CAST includes functions to improve spatial or
 spatial-temporal modelling tasks using 'caret'. It includes the newly
 suggested 'Nearest neighbor distance matching' cross-validation to estimate
 the performance of spatial prediction models and allows for spatial variable
 selection to selects suitable predictor variables in view to their
 contribution to the spatial model performance. CAST further includes
 functionality to estimate the (spatial) area of applicability of prediction
 models. Methods are described in Meyer et al. (2018)
 <doi:10.1016/j.envsoft.2017.12.001>; Meyer et al. (2019)
 <doi:10.1016/j.ecolmodel.2019.108815>; Meyer and Pebesma (2021)
 <doi:10.1111/2041-210X.13650>; Milà et al. (2022)
 <doi:10.1111/2041-210X.13851>; Meyer and Pebesma (2022)
 <doi:10.1038/s41467-022-29838-9>; Linnenbrink et al. (2023)
 <doi:10.5194/egusphere-2023-1308>; Schumacher et al. (2024)
 <doi:10.5194/egusphere-2024-2730>. The package is described in detail in
 Meyer et al. (2024) <doi:10.48550/arXiv.2404.06978>.

Package: r-cran-castgen
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-rdpack, r-cran-vcfr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-castgen_1.0.2-1.ca2004.1_all.deb
Size: 29364
MD5sum: f299c79b7275f4e78357199f7de009be
SHA1: 99a31e246d1198702efcdb3151502c3c8889348e
SHA256: eb57d80759d62b121ec9d8afc92af3e8da43e43d737287ab3815e5aea9df27af
SHA512: 1d910abe9da5598596ce49d6c4b9c3bbc31135f28c1eeafafd5520803c268dab463fd306d1f20f9321ba678919ba23d9e0df61f9de539dcd6b8cd587b3a8ca3e
Homepage: https://cran.r-project.org/package=castgen
Description: CRAN Package 'castgen' (Estimate Sample Size for Population Genomic Studies)
 Estimate sample sizes needed to capture target levels of genetic diversity
 from a population (multivariate allele frequencies) for applications like
 germplasm conservation and breeding efforts.  Compares bootstrap samples to
 a full population using linear regression, employing the R-squared value to
 represent the proportion of diversity captured. Iteratively increases sample
 size until a user-defined target R-squared is met. Offers a parallelized R
 implementation of a previously developed 'python' method. All ploidy levels
 are supported. For more details, see Sandercock et al. (2024)
 <doi:10.1073/pnas.2403505121>.

Package: r-cran-cat.dt
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rglpk, r-cran-matrix, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cat.dt_0.3.1-1.ca2004.1_all.deb
Size: 223368
MD5sum: cc8a8413de84f4d26f06e0a73c0f5fd9
SHA1: d845e451f2771f7cd48213686ddc597cd96be970
SHA256: 75a8ba86b253d93232d6f6e0c8edf7d08fcafba12b789d1a2636a574f96adb0a
SHA512: 4aa211ec4b574f243c9d6216717c543369fe2b03399a27a0dd475fbbc519157c69bc0c3283c618918897a467ae50a9a8015942a69503fb8a104b015c7bc10317
Homepage: https://cran.r-project.org/package=cat.dt
Description: CRAN Package 'cat.dt' (Computerized Adaptive Testing and Decision Trees)
 Implements the Merged Tree-CAT method (Javier Rodriguez-Cuadrado et al.,
 2020, <doi:10.1016/j.eswa.2019.113066>) to generate Computerized Adaptive
 Tests (CATs) based on a decision tree. The tree growth is controlled by
 merging branches with similar trait distributions and estimations. This
 package has the necessary tools for creating CATs and estimate the subject's
 ability level.

Package: r-cran-cat2cat
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4800
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Suggests: r-cran-caret, r-cran-dplyr, r-cran-forcats, r-cran-knitr, r-cran-magrittr, r-cran-randomforest, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-cat2cat_0.4.7-1.ca2004.1_all.deb
Size: 3519708
MD5sum: 7fa3f6109e215dfac2218b5ad9554280
SHA1: 74c3b44d9e3ff9deb3b779f02e9f8601ed92ee0a
SHA256: fac95f3aef78bdecbd859ac1bb26d73765ba37b6cd36de16b7b417395d83d0fc
SHA512: 00d43f1a8751ae0532c9c7706dd60cb2aad6f68968876980b1565cbc7384fa780a339c6dbe8836d6c7bf6671738b4a9fbbd71cdf9939d58981ce4b59dd358294
Homepage: https://cran.r-project.org/package=cat2cat
Description: CRAN Package 'cat2cat' (Handling an Inconsistently Coded Categorical Variable in aLongitudinal Dataset)
 Unifying an inconsistently coded categorical variable between two different
 time points in accordance with a mapping table.  The main rule is to
 replicate the observation if it could be assigned to a few categories.  Then
 using frequencies or statistical methods to approximate the probabilities of
 being assigned to each of them.  This procedure was invented and implemented
 in the paper by Nasinski, Majchrowska, and Broniatowska (2020)
 <doi:10.24425/cejeme.2020.134747>.

Package: r-cran-cata
Architecture: all
Version: 0.1.0.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cata_0.1.0.27-1.ca2004.1_all.deb
Size: 205496
MD5sum: 07924711de7dcb0717a6e70d658fdf54
SHA1: 8395e091dee2242e51127d9dba6cef5c08064c99
SHA256: 9f01fb0978bb0e3d27770370fd008cc6ad18ed2b97782e4ec30cee51f9119c7b
SHA512: 17f83d9e23a91c561f7db1df38aa615f54a9607ff96c136c4eb473da36f7c131bed85f295198ad0e80de2273a7650d08c804d3a167a09277c357ff738eafd3b9
Homepage: https://cran.r-project.org/package=cata
Description: CRAN Package 'cata' (Analysis of Check-All-that-Apply (CATA) Data)
 Package contains functions for analyzing check-all-that-apply (CATA) data
 from consumer and sensory tests. Cochran's Q test, McNemar's test, and
 Penalty-Lift analysis are provided; for details, see Meyners, Castura & Carr
 (2013) <doi:10.1016/j.foodqual.2013.06.010>. Cluster analysis can be
 performed using b-cluster analysis, then evaluated using various measures;
 for details, see Castura, Meyners, Varela & Næs (2022)
 <doi:10.1016/j.foodqual.2022.104564>. Methods are adapted to cluster
 consumers based on their product-related hedonic responses; for details, see
 Castura, Meyners, Pohjanheimo, Varela & Næs (2023) <doi:10.1111/joss.12860>.
 Permutation tests based on the L1-norm methods are provided; for details,
 see Chaya, Castura & Greenacre (2025) <doi:10.48550/arXiv.2502.15945>.

Package: r-cran-catalog
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-sparklyr
Suggests: r-cran-dbi, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-catalog_0.1.1-1.ca2004.1_all.deb
Size: 141876
MD5sum: 6b46985d71fde8d62d101808f7cb2bc7
SHA1: ab18f81874498c16350a3e07d49805a45d940484
SHA256: f6aaf0d9de825315c2ecf6f41122c21cd8de547be392d701b2609d8d92915629
SHA512: 7a964c3a5a6612248d2a8bf413867964e1974a1f0eeef11c2306143985062cfb0b410a892a13d17edf6e5572ac196d65e86dfeda74a994c39648fe2231d757d3
Homepage: https://cran.r-project.org/package=catalog
Description: CRAN Package 'catalog' (Access the 'Spark Catalog' API via 'sparklyr')
 Gain access to the 'Spark Catalog' API making use of the 'sparklyr' API.
 'Catalog'
 <https://spark.apache.org/docs/2.4.3/api/java/org/apache/spark/sql/catalog/Catalog.html>
 is the interface for managing a metastore (aka metadata catalog) of
 relational entities (e.g. database(s), tables, functions, table columns and
 temporary views).

Package: r-cran-catalytic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1303
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-invgamma, r-cran-rlang, r-cran-rstan, r-cran-truncnorm, r-cran-mass, r-cran-lme4, r-cran-quadform, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-proc
Filename: pool/dists/focal/main/r-cran-catalytic_0.1.0-1.ca2004.1_all.deb
Size: 817892
MD5sum: d96331d853609d2f32c422b2da825789
SHA1: 350c9b4fd5d71140bf86291ef115dd47521cfaa9
SHA256: be651ba080a590bbf492159fb5607031da2d065cc2bc13d9d3f71b8ec9df4f0b
SHA512: 1e826d46966f43e8f1bd3bb5de964b665ed22bad87678db4ca94769bd5890123933797c65194f91fe9456b3c01be2d928af893026672d5c80d797be77fd1d3bf
Homepage: https://cran.r-project.org/package=catalytic
Description: CRAN Package 'catalytic' (Tools for Applying Catalytic Priors in Statistical Modeling)
 To improve estimation accuracy and stability in statistical modeling,
 catalytic prior distributions are employed, integrating observed data with
 synthetic data generated from a simpler model's predictive distribution.
 This approach enhances model robustness, stability, and flexibility in
 complex data scenarios. The catalytic prior distributions are introduced by
 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023,
 <doi:10.48550/arXiv.2312.01411>).

Package: r-cran-catastro
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1632
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr2, r-cran-mapspain, r-cran-rappdirs, r-cran-sf, r-cran-stringi, r-cran-terra, r-cran-tibble, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-slippymath, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-catastro_0.4.1-1.ca2004.1_all.deb
Size: 1339396
MD5sum: a97fe422e0982481c55114e0d7ea43c2
SHA1: 0143eeaa7abfbdf90a34f5c58a9abc4f77b708af
SHA256: 1f57f0f2a991b651cd0e9658a067374bcb14602aad2a2c9cec5c7f31e1972d24
SHA512: f9f9a943df6453b309ce784778893121adfeaaa8f067f99519169ba6677b0e1e2b570cba0f42c56e1e004d3fa3be69a054cf21949bf319f99cdec25f8e04300e
Homepage: https://cran.r-project.org/package=CatastRo
Description: CRAN Package 'CatastRo' (Interface to the API 'Sede Electronica Del Catastro')
 Access public spatial data available under the 'INSPIRE' directive. Tools
 for downloading references and addresses of properties, as well as map
 images.

Package: r-cran-catcont
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-catcont_0.5.0-1.ca2004.1_all.deb
Size: 27600
MD5sum: 70280a8d9fcbf19fccdb64fd616e94cc
SHA1: 83d8c0334217b7c6a4e9f38c6b06e711dca72918
SHA256: 5b3a34dea14b1bb5514fbe3850da2a25a1c3c4ac527e1449c2590c8efdbab2b4
SHA512: ac356503e40459b646347f148b7939ec0a33de38d8af9303c0051fa43b5cba008062395be7e04886bf1a68aa6deda74d6f66a64deb27196f42069b7e6fa2e3c4
Homepage: https://cran.r-project.org/package=catcont
Description: CRAN Package 'catcont' (Test, Identify, Select and Mutate Categorical or ContinuousValues)
 Methods and utilities for testing, identifying, selecting and mutating
 objects as categorical or continous types. These functions work on both
 atomic vectors as well as recursive objects: data.frames, data.tables,
 tibbles, lists, etc..

Package: r-cran-catdata
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rms, r-cran-qvcalc, r-cran-glmmml, r-cran-nnet, r-cran-pscl, r-cran-vgam, r-cran-gee, r-cran-mlogit, r-cran-ecdat, r-cran-geepack, r-cran-mgcv, r-cran-rpart, r-cran-party, r-cran-ordinal, r-cran-lme4, r-cran-vcdextra, r-cran-glmnet, r-cran-mboost, r-cran-class, r-cran-e1071, r-cran-flexmix, r-cran-lpsolve, r-cran-penalized
Filename: pool/dists/focal/main/r-cran-catdata_1.2.4-1.ca2004.1_all.deb
Size: 2183796
MD5sum: 9300a8e819c4b18286950fcc063bfc93
SHA1: 01f940b8972313f749439cde27db4d19dc7faa22
SHA256: 58be3bfefb5a6781a039427727d7b9dd4d4c2976f65fc18431daf32e8b053e1b
SHA512: c5c1d57045747eaed57c21956e19620526e3af237bed72a958799889868ce9a9b9465626067ab70960e58d25122806f9e0ebfd9fc53e3467d7cf840f5cb45f54
Homepage: https://cran.r-project.org/package=catdata
Description: CRAN Package 'catdata' (Categorical Data)
 This R-package contains examples from the book "Regression for Categorical
 Data", Tutz 2012, Cambridge University Press. The names of the examples
 refer to the chapter and the data set that is used.

Package: r-cran-catdataanalysis
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-catdataanalysis_0.1-5-1.ca2004.1_all.deb
Size: 71552
MD5sum: 241ad4e9e10727a8049e80d225eeb453
SHA1: 02f517a07adaab74f17dd1e594599f52b929ff98
SHA256: 81efc6c3e372b247f30a48647a4927600b52d9b22c62aaa22c235afb8c0e3bf1
SHA512: 10a4e607dd3d9e7e4c6ee375df03b5d90a79c567a03c0ac9e5ca86c4e34bd341dbe1290d37daea482edf8b475485f062838607afc0326c110b3d4b1301de5c3b
Homepage: https://cran.r-project.org/package=CatDataAnalysis
Description: CRAN Package 'CatDataAnalysis' (Datasets for Categorical Data Analysis by Agresti)
 Datasets used in the book "Categorical Data Analysis" by Agresti (2012,
 ISBN:978-0-470-46363-5) but not printed in the book.  Datasets and help
 pages were automatically produced from the source
 <https://users.stat.ufl.edu/~aa/cda/data.html> by the R script foo.R, which
 can be found in the GitHub repository.

Package: r-cran-catdyn
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1614
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimx, r-cran-bb
Filename: pool/dists/focal/main/r-cran-catdyn_1.1-1-1.ca2004.1_all.deb
Size: 1435864
MD5sum: fbcf2b1bf2ac3bc94c9666bedc8f1025
SHA1: 5c9b9e87894846ca2b020810eb76b81c001ea582
SHA256: d7b8eaa77388c0f6c0d577f8d4e761daacd6b1ca7d491839f0a591301bce0ab1
SHA512: 0b0122097be4fe1d273cb5f194634692e9c27204085ab2d3d3ee5485e34dac6f32eb8820edb80b46dc0c0aeeff7cd7e84eb714e04faca0bef19e41522b40cc8d
Homepage: https://cran.r-project.org/package=CatDyn
Description: CRAN Package 'CatDyn' (Fishery Stock Assessment by Catch Dynamics Models)
 Based on fishery Catch Dynamics instead of fish Population Dynamics (hence
 CatDyn) and using high-frequency or medium-frequency catch in biomass or
 numbers, fishing nominal effort, and mean fish body weight by time step,
 from one or two fishing fleets, estimate stock abundance, natural mortality
 rate, and fishing operational parameters. It includes methods for data
 organization, plotting standard exploratory and analytical plots,
 predictions, for 100 types of models of increasing complexity, and 72
 likelihood models for the data.

Package: r-cran-cate
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 664
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-esabcv, r-cran-ruv, r-bioc-sva, r-cran-corpcor, r-cran-leapp
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-cate_1.1.1-1.ca2004.1_all.deb
Size: 619760
MD5sum: d44ab040dc427ca67aa4167da43abd6d
SHA1: ea74e5697baa3512b27a2c277f132944b3b1c41c
SHA256: 9d2d73757863574f21c94062ed8dfb59a1a471deb1cf638e75e0d35778562e93
SHA512: ea220a9ecc873d474164812b59f320e26ed75d30b47ebd2daa683e2b6493f92a24ed8b3cdb98a15104a65f123fec7930288e5007265f1678ea117d3f7d54ac16
Homepage: https://cran.r-project.org/package=cate
Description: CRAN Package 'cate' (High Dimensional Factor Analysis and Confounder Adjusted Testingand Estimation)
 Provides several methods for factor analysis in high dimension (both n,p >>
 1) and methods to adjust for possible confounders in multiple hypothesis
 testing.

Package: r-cran-categoryencodings
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-sparsepca, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-categoryencodings_1.4.3-1.ca2004.1_all.deb
Size: 59812
MD5sum: 418ca1cf9954202a0e0a4f2e6bd6ae48
SHA1: 3c30e1a5845f78d2845b1bfcf468b22167cc96a8
SHA256: d2966f84d72ee30e2241fd4dce2251f6515390e814e2ec839acd3ab25a2310ba
SHA512: fdfccdff413363b1595877ab64c5618c8e981dca58319cca45c12b5594ffc376b572a8bfa62ef86b70c732a0839ce9741b2e10bf9026d0788cd284513c5e4416
Homepage: https://cran.r-project.org/package=categoryEncodings
Description: CRAN Package 'categoryEncodings' (Category Variable Encodings)
 Simple, fast, and automatic encodings for category data using a data.table
 backend. Most of the methods are an implementation of "Sufficient
 Representation for Categorical Variables" by Johannemann, Hadad, Athey,
 Wager (2019) <arXiv:1908.09874>, particularly their mean, sparse principal
 component analysis, low rank representation, and multinomial logit
 encodings.

Package: r-cran-catenary
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-boot, r-cran-tidyverse, r-cran-dplyr, r-cran-broom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-catenary_1.1.2-1.ca2004.1_all.deb
Size: 114012
MD5sum: c7d258ce1bb4e4eaef1a6b6d4ca9fe45
SHA1: 500f939a8e67b8b144797b80aeedec6d3ec9c715
SHA256: 7f5a601e9fafcf16c7ed0801717bf0e776f9aa7a8f0ff6deef06b001fac13bc2
SHA512: 9be6414924bdacc54ef2b989ca53b54775f90fc7705b0f1ffbddcd8993d9760d85505461d06bb50c1f00c3711073326b7537eb5162e9014ba446c7dc5b7b6587
Homepage: https://cran.r-project.org/package=catenary
Description: CRAN Package 'catenary' (Fits a Catenary to Given Points)
 Gives methods to create a catenary object and then plot it and get
 properties of it. Can construct from parameters or endpoints. Also can get
 catenary fitted to data.

Package: r-cran-catencoders
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-catencoders_0.1.1-1.ca2004.1_all.deb
Size: 37432
MD5sum: dcdbe6d6ca9ed47f669ee3fff6fc92dd
SHA1: c42e27a382a169747ffb133209ea350208f1706d
SHA256: 70cc7d19f4f8aaa07c8ec34698ae5c91ff886f5d3cb7b262b7b6a65e4f3acddb
SHA512: 157dcd9256f886997b1f323b700123e284c2639faceed4853107310e1243a9d9037f12f1d27742f30220f7c0c62deea53af5333c38555cb85bb30fcb9d870663
Homepage: https://cran.r-project.org/package=CatEncoders
Description: CRAN Package 'CatEncoders' (Encoders for Categorical Variables)
 Contains some commonly used categorical variable encoders, such as
 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in
 Python 'sklearn.preprocessing' package (see
 <http://scikit-learn.org/stable/modules/preprocessing.html>).

Package: r-cran-cateselection
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cateselection_1.0-1.ca2004.1_all.deb
Size: 57060
MD5sum: b00d96a55cea491faca963eb78724060
SHA1: cbb9c80e348122da684957583a404aeccc2100ee
SHA256: 299848d14bf55d3a50816ba67276f57dcfa717cae44618cb1bf25b8516b99dc7
SHA512: 0aca2d1be75fde787f5b654cc707a6a76eade6b0d1321991ece60d5d5476e0432bd8fb3114e3b390c73082ba622e2f43fdfe754fa9343d5608fa3ea55fbd4dfa
Homepage: https://cran.r-project.org/package=CateSelection
Description: CRAN Package 'CateSelection' (Categorical Variable Selection Methods)
 A multi-factor dimensionality reduction based forward selection method for
 genetic association mapping.

Package: r-cran-catfun
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-epitools, r-cran-desctools, r-cran-cli, r-cran-magrittr, r-cran-hmisc, r-cran-broom, r-cran-rlang
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-catfun_0.1.4-1.ca2004.1_all.deb
Size: 98908
MD5sum: d19e27179a091b269976085d76b9735a
SHA1: 15638cbf888dd283807d98066e71c55da83c7018
SHA256: 165237ce4859752cc77bf983f6dd2f2630526cff0a1aca0d8452269d64d934ec
SHA512: 68b2baf6a07d439f658fbac10ff3b13e64912ed2fda88f03485781fa2a446a0e8316359f0e53a9e8d80bb15f7c0711d06ec8ff9cba363d3ceae664b6bd3e41a1
Homepage: https://cran.r-project.org/package=catfun
Description: CRAN Package 'catfun' (Categorical Data Analysis)
 Includes wrapper functions around existing functions for the analysis of
 categorical data and introduces functions for calculating risk differences
 and matched odds ratios. R currently supports a wide variety of tools for
 the analysis of categorical data. However, many functions are spread across
 a variety of packages with differing syntax and poor compatibility with each
 another. prop_test() combines the functions binom.test(), prop.test() and
 BinomCI() into one output. prop_power() allows for power and sample size
 calculations for both balanced and unbalanced designs. riskdiff() is used
 for calculating risk differences and matched_or() is used for calculating
 matched odds ratios. For further information on methods used that are not
 documented in other packages see Nathan Mantel and William Haenszel (1959)
 <doi:10.1093/jnci/22.4.719> and Alan Agresti (2002) <ISBN:0-471-36093-7>.

Package: r-cran-cati
Architecture: all
Version: 0.99.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-ade4, r-cran-ape, r-cran-e1071, r-cran-rastervis, r-cran-hypervolume, r-cran-fd, r-cran-geometry, r-cran-vegan
Suggests: r-cran-lattice, r-cran-entropart, r-cran-fbasics, r-cran-picante, r-cran-mice, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cati_0.99.4-1.ca2004.1_all.deb
Size: 342256
MD5sum: f7ee5e6b48165fc77e60efd0860b110c
SHA1: eb6df1029def147f90ff464f0110d8aba0a7c31f
SHA256: 347c6c5c2f90913ec7ef56d5534dc185e47e131087f69d02ed718604eaeb7ecc
SHA512: 1afcb967e073d8e187a408f8eb9f42dea54ef5a01d20d1166897934a3566b4ea278ab19505e73561647c645f6fd808669cbf2ecfd3dbe5ecaba9b04b1b0a9818
Homepage: https://cran.r-project.org/package=cati
Description: CRAN Package 'cati' (Community Assembly by Traits: Individuals and Beyond)
 Detect and quantify community assembly processes using trait values of
 individuals or populations, the T-statistics and other metrics, and
 dedicated null models.

Package: r-cran-catmap
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forestplot, r-cran-metafor
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-catmap_1.6.4-1.ca2004.1_all.deb
Size: 56904
MD5sum: c4d27a4bd398abd65834626bf44963dc
SHA1: 19fd3b6992887e3f18c17a23bedf1ccc01c4f69d
SHA256: de7ed82da9f92a1e6ceea4d79fa3f594cc2cb8d334d8375819529bb96cf0aa57
SHA512: 11bc2a02d577fe84ceb7dc79740d4b9f3947b34506f27d9f87ca72e8de6e36c681bd2c2f4959f3e212dc6b2d54a4a4e008594645f5a77eff667e97991c31c6ed
Homepage: https://cran.r-project.org/package=catmap
Description: CRAN Package 'catmap' (Case-Control and TDT Meta-Analysis Package)
 Although many software tools can perform meta-analyses on genetic
 case-control data, none of these apply to combined case-control and
 family-based (TDT) studies. This package conducts fixed-effects (with
 inverse variance weighting) and random-effects [DerSimonian and Laird (1986)
 <DOI:10.1016/0197-2456(86)90046-2>] meta-analyses on combined genetic data.
 Specifically, this package implements a fixed-effects model [Kazeem and
 Farrall (2005) <DOI:10.1046/j.1529-8817.2005.00156.x>] and a random-effects
 model [Nicodemus (2008) <DOI:10.1186/1471-2105-9-130>] for combined studies.

Package: r-cran-catmaply
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 21360
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plotly, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-viridis, r-cran-lubridate, r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-catmaply_0.9.5-1.ca2004.1_all.deb
Size: 1400780
MD5sum: 8a7c29bab7fd2ee2fea0be7a21b4f58f
SHA1: 23deededa3cd9f36c2b97ba6003c56f821f3df1f
SHA256: a7e49da3f9a15d625136b71056ba9d06d7dfd2dde62ea21c4f0e33ea48fde073
SHA512: 38a85a0c28cf21e77437a7f0bef4d6244bee5fd842a1859b00fd0f1a283485c9149d2235e36a6024bbbf81f74e7455a18755abe8f5d79d8f686c9c73a10bc256
Homepage: https://cran.r-project.org/package=catmaply
Description: CRAN Package 'catmaply' (Heatmap for Categorical Data using 'plotly')
 Methods and plotting functions for displaying categorical data on an
 interactive heatmap using 'plotly'. Provides functionality for strictly
 categorical heatmaps, heatmaps illustrating categorized continuous data and
 annotated heatmaps. Also, there are various options to interact with the
 x-axis to prevent overlapping axis labels, e.g. via simple sliders or range
 sliders.  Besides the viewer pane, resulting plots can be saved as a
 standalone HTML file, embedded in 'R Markdown' documents or in a 'Shiny'
 app.

Package: r-cran-catool
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-catool_1.0.1-1.ca2004.1_all.deb
Size: 81516
MD5sum: b26679d8975e40627381bf54af0e2552
SHA1: 3f8064aff034ffd006dfe5fa3cd9ecc04239ea73
SHA256: 3852d462f472550071cb3ab1a95dee4913d75a12ba2b3810d46704118f1ab2fb
SHA512: 11bd3c590a0b61216f333d470d3d488d5c9246446e654a59d6d1f2cc49bcf6a792d330154ab22ee7268f66a47bfd805c5d5708746c20394cd23f77a3ee7e4429
Homepage: https://cran.r-project.org/package=catool
Description: CRAN Package 'catool' (Compensation Analysis Tool for Instructor Overload Pay)
 Calculates equitable overload compensation for college instructors based on
 institutional policies, enrollment thresholds, and regular teaching load
 limits.  Compensation is awarded only for credit hours that exceed the
 regular load and meet minimum enrollment criteria. When enrollment is below
 a specified threshold, pay is prorated accordingly. The package prioritizes
 compensation from high-enrollment courses, or optionally from low-enrollment
 courses for fairness, depending on user-defined strategy.  Includes tools
 for flexible policy settings, instructor filtering, and produces clean,
 audit-ready summary tables suitable for payroll and administrative
 reporting.

Package: r-cran-catpredi
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rms, r-cran-rgenoud, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-catpredi_1.3-1.ca2004.1_all.deb
Size: 113652
MD5sum: b0344496b3dc9d5ebb1922294df13ab5
SHA1: b0ed690137d8c7f2caa543e3435779cc50f33346
SHA256: f60029ce9531a8c71f2bc304e194cb525ad03fa9f84b5a040cdb2feccf8e4f44
SHA512: 6b41ef651128021af9eb962f07694cdc1c5a4315cdf3676c5d5851ff40b361a2819710bebfc66c868c87199fcf2647e971606f3b9dd7194bae979db0161a87fe
Homepage: https://cran.r-project.org/package=CatPredi
Description: CRAN Package 'CatPredi' (Optimal Categorisation of Continuous Variables in PredictionModels)
 Allows the user to categorise a continuous predictor variable in a logistic
 or a Cox proportional hazards regression setting, by maximising the
 discriminative ability of the model. I Barrio, I Arostegui, MX
 Rodriguez-Alvarez, JM Quintana (2015) <doi:10.1177/0962280215601873>. I
 Barrio, MX Rodriguez-Alvarez, L Meira-Machado, C Esteban, I Arostegui (2017)
 <https://www.idescat.cat/sort/sort411/41.1.3.barrio-etal.pdf>.

Package: r-cran-catr
Architecture: all
Version: 3.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-catr_3.17-1.ca2004.1_all.deb
Size: 533468
MD5sum: c5c72e34ee4c405f5fe3d6f21e4f7996
SHA1: 1292f9ec7e1769c24e7271abe0dd5bc63c50f92a
SHA256: 425efd55edd1a9d79be286c328e657a5191bedfcb01fe3d1ec19cb63112f78dd
SHA512: 5f9a66cc8a7f28dfd3c1feaa427b637140a01fc1bcd6bc3c72e9a09ba523f92419ea59607ce2e2b436b54151eeb6e71e226d5ca3d08927e90c41be4725d4762c
Homepage: https://cran.r-project.org/package=catR
Description: CRAN Package 'catR' (Generation of IRT Response Patterns under Computerized AdaptiveTesting)
 Provides routines for the generation of response patterns under
 unidimensional dichotomous and polytomous computerized adaptive testing
 (CAT) framework. It holds many standard functions to estimate ability,
 select the first item(s) to administer and optimally select the next item,
 as well as several stopping rules. Options to control for item exposure and
 content balancing are also available (Magis and Barrada (2017)
 <doi:10.18637/jss.v076.c01>).

Package: r-cran-catregs
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2054
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tidyverse, r-cran-ggplot2, r-cran-mass, r-cran-emmeans, r-cran-pscl, r-cran-nnet, r-cran-marginaleffects, r-cran-ggpubr, r-cran-knitr, r-cran-rmarkdown, r-cran-epi, r-cran-dplyr, r-cran-ordinal, r-cran-nlme, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-catregs_1.2.2-1.ca2004.1_all.deb
Size: 1855484
MD5sum: 8acdd5d06e7c88a89c01b6610d240139
SHA1: 7f8ac6eba5b765c4afb586da0403a70df30c7bc0
SHA256: b9706c8152b43b586d85b0e7c4861a10297155af2596dc776d84c5fc03675d14
SHA512: 026697a7d717d63bd539c72fee55cec05ba45fb5db5e8a67f44a006149c8adc06abf8b90543990bdc0ce08926f42922f85bba39d6fa5e202f69e85713ffa66ef
Homepage: https://cran.r-project.org/package=catregs
Description: CRAN Package 'catregs' (Post-Estimation Functions for Generalized Linear Mixed Models)
 Several functions for working with mixed effects regression models for
 limited dependent variables. The functions facilitate post-estimation of
 model predictions or margins, and comparisons between model predictions for
 assessing or probing moderation. Additional helper functions facilitate
 model comparisons and implements simulation-based inference for model
 predictions of alternative-specific outcome models. See also, Melamed and
 Doan (2024, ISBN: 978-1032509518).

Package: r-cran-cats
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-plotly, r-cran-tidyr, r-cran-doparallel, r-cran-foreach, r-cran-openxlsx, r-cran-forcats, r-cran-epitools, r-cran-zoo, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dt, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-cats_1.0.2-1.ca2004.1_all.deb
Size: 72976
MD5sum: e685668fd9b6a07a439df152748bb093
SHA1: b04b119d7028ccdb74238a0c7d7a88c8e5af1dca
SHA256: 2536c324f32e6583ff9372a71ead4951abd7b92aa04019e80f9c9deab9a46d07
SHA512: 58b0f19beb1b6ae2000eaed370c2c39d9016896465ff1a1745be7375813ea948ac50dbca56280062fbe3ce4b6e923c97aeb1ce95d956b8fdfb875b6e46c63b81
Homepage: https://cran.r-project.org/package=cats
Description: CRAN Package 'cats' (Cohort Platform Trial Simulation)
 Cohort plAtform Trial Simulation whereby every cohort consists of two arms,
 control and experimental treatment. Endpoints are co-primary binary
 endpoints and decisions are made using either Bayesian or frequentist
 decision rules.  Realistic trial trajectories are simulated and the
 operating characteristics of the designs are calculated.

Package: r-cran-catseyes
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-catseyes_0.2.5-1.ca2004.1_all.deb
Size: 26844
MD5sum: 492a01d1baac99b19c9c2f20d5469e12
SHA1: ca0af39b3186080a8c6f0d63ec1daf5add60801d
SHA256: 528926398461240379a9bcbdf89e650fe3cb85413aa99bbfc181df8d618737c8
SHA512: 2e9e224fa20a47994227f7122b8f3dc2044e875e4d904adff2e5111339fae815a22b05603176fe088a4c48b882732b8c3ee56c7f3d18d7964a4c4165c6450398
Homepage: https://cran.r-project.org/package=catseyes
Description: CRAN Package 'catseyes' (Create Catseye Plots Illustrating the Normal Distribution of theMeans)
 Provides the tools to produce catseye plots, principally by catseyesplot()
 function which calls R's standard plot() function internally, or
 alternatively by the catseyes() function to overlay the catseye plot onto an
 existing R plot window. Catseye plots illustrate the normal distribution of
 the mean (picture a normal bell curve reflected over its base and rotated 90
 degrees), with a shaded confidence interval; they are an intuitive way of
 illustrating and comparing normally distributed estimates, and are arguably
 a superior alternative to standard confidence intervals, since they show the
 full distribution rather than fixed quantile bounds. The catseyesplot and
 catseyes functions require pre-calculated means and standard errors (or
 standard deviations), provided as numeric vectors; this allows the
 flexibility of obtaining this information from a variety of sources, such as
 direct calculation or prediction from a model.  Catseye plots, as
 illustrations of the normal distribution of the means, are described in
 Cumming (2013 & 2014).  Cumming, G. (2013). The new statistics: Why and how.
 Psychological Science, 27, 7-29. <doi:10.1177/0956797613504966>
 pmid:24220629.

Package: r-cran-catspec
Architecture: all
Version: 0.97-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mlogit, r-cran-survival
Filename: pool/dists/focal/main/r-cran-catspec_0.97-1.ca2004.1_all.deb
Size: 45748
MD5sum: 2795a5cdc490fbcf4356e675848ccd1e
SHA1: b90db0f941208cf26eae9e3d72482f558f6af4b8
SHA256: a47234c235c1c926a5b8046cba26d5bedc95f1670e160a881d99b7c87109593a
SHA512: f4fc8d4887f63507fff898327bf1964b5425b431c3f338fcb2d1684885a170b343595bc8538ac74ae981acec531592404b199ae22f8005fb0a070cf2bef70044
Homepage: https://cran.r-project.org/package=catspec
Description: CRAN Package 'catspec' (Special models for categorical variables)
 `ctab' creates (multiway) percentage tables. `sqtab' contains a set of
 functions for estimating models for square tables such as
 quasi-independence, symmetry, uniform association. Examples show how to use
 these models in a loglinear model using glm or in a multinomial logistic
 model using mlogit or clogit

Package: r-cran-catsplit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-caret, r-cran-dplyr, r-cran-data.table, r-cran-stringr, r-cran-openml, r-cran-farff
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-catsplit_0.1.0-1.ca2004.1_all.deb
Size: 47028
MD5sum: ad7b445e7fddb90de90e510ee1bb632b
SHA1: 721d2d6184568489743acda52df7f8d90e74c5a5
SHA256: 7b14f0ea74c4a4da9e4d5aca6d17ce5acfeee957558b7e701b6dfc479c3670ea
SHA512: d87b249e2bee2da0a683e55efa51f8e8a6dd3530bd54656a458f9e691f35954b9ac6f5121b6266f7d4f704430219234c774153ce5ebc8744c8fb4e99c68b5c67
Homepage: https://cran.r-project.org/package=catSplit
Description: CRAN Package 'catSplit' (Encode Categorical Variables with Split Information from CART)
 Use primary and surrogate split information from CART (Classification and
 Regression Trees - Breiman L (1984)) as the vector representation for a
 categorical variable. Outputs binary columns for each categorical variable
 making use of target information.

Package: r-cran-catt
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-catt_2.0-1.ca2004.1_all.deb
Size: 11920
MD5sum: d53e4e9bed2c6bfdc2c86cccb3ae762a
SHA1: 5a5dfe988093a56ee6c1347c229a5bf03805c201
SHA256: dac8cb823b37f8aff9f1875d11c3347aa89610295db2b1d6553f18941cc5f506
SHA512: 76d30003057be08bbd0d56b52ad52490d9f0b8d566570a6ecf928b4a409e341ba560fb0d2261daad6b241081fb2fe21787ce3b5995d38de2e8e9c971c14a2e93
Homepage: https://cran.r-project.org/package=CATT
Description: CRAN Package 'CATT' (The Cochran-Armitage Trend Test)
 This function conducts the Cochran-Armitage trend test to a 2 by k
 contingency table. It will report the test statistic (Z) and p-value.A
 linear trend in the frequencies will be calculated, because the weights
 (0,1,2) will be used by default.

Package: r-cran-cattexact
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cattexact_0.1.1-1.ca2004.1_all.deb
Size: 26604
MD5sum: a32a591a00169a4564ab3f7998037e81
SHA1: 39f7bfbf44b971d2c15db7dceab3692666c0fcbc
SHA256: eb6a37ed7ec44f189229ba912d6e699b6bc0edb51f817ae12b0411f0fa77b90f
SHA512: 85f59674bf04a4ec11bdc42f4535d7e6453764880bbeb1e01bdc6b43e7a70e7528d3ec43d966e10a73640ab6f95cb6c05d8a55c1dee65825d89d53faa6debab0
Homepage: https://cran.r-project.org/package=CATTexact
Description: CRAN Package 'CATTexact' (Computation of the p-Value for the Exact ConditionalCochran-Armitage Trend Test)
 Provides functions for computing the one-sided p-values of the
 Cochran-Armitage trend test statistic for the asymptotic and the exact
 conditional test. The computation of the p-value for the exact test is
 performed using an algorithm following an idea by Mehta, et al. (1992)
 <doi:10.2307/1390598>.

Package: r-cran-cauchycp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cauchycp_0.1.1-1.ca2004.1_all.deb
Size: 18668
MD5sum: b0c4836d55a07e214091f2efda5469ef
SHA1: 3ef4cefeb91c2113922477d515f85a9884a05ec1
SHA256: 7a47b3812b0ac748c71e787aaf6879e94e660c17111a1e1006ff5d19849d6faf
SHA512: 8fe9f9fe7d4c250af08fe9b39ba2a4504418fe2f6bab4c30f7e9544300df8a591c489876220af800d79a9bf6e0d1047189ddc7cc50a194907338e7248b565469
Homepage: https://cran.r-project.org/package=CauchyCP
Description: CRAN Package 'CauchyCP' (Powerful Test for Survival Data under Non-Proportional Hazards)
 An omnibus test of change-point Cox regression models to improve the
 statistical power of detecting signals of non-proportional hazards patterns.
 The technical details can be found in Hong Zhang, Qing Li, Devan Mehrotra
 and Judong Shen (2021) <arXiv:2101.00059>. Extensive simulation studies
 demonstrate that, compared to existing tests under non-proportional hazards,
 the proposed CauchyCP test 1) controls the type I error better at small
 alpha levels; 2) increases the power of detecting time-varying effects; and
 3) is more computationally efficient.

Package: r-cran-cauchypca
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-cauchypca_1.3-1.ca2004.1_all.deb
Size: 24736
MD5sum: ddcd5dbd0d9fc1981bb41cbc7b9b661e
SHA1: 522091e61fe23ddd56c420aed3ca8e750a626af6
SHA256: dc5208112ad2322740f6b0464fb6237171df4c4b498e2e75d777671b967a407d
SHA512: 9cd9d7ca45bd1eb05664d1d16513e6a5e60b6945f6e71259c38263e0283f759e2c04edbe5bc186c4b9d91f09b10df860b92ed6db1d2d1686bbf0441d84ea318c
Homepage: https://cran.r-project.org/package=cauchypca
Description: CRAN Package 'cauchypca' (Robust Principal Component Analysis Using the CauchyDistribution)
 A new robust principal component analysis algorithm is implemented that
 relies upon the Cauchy Distribution. The algorithm is suitable for high
 dimensional data even if the sample size is less than the number of
 variables. The methodology is described in this paper: Fayomi A., Pantazis
 Y., Tsagris M. and Wood A.T.A. (2024). "Cauchy robust principal component
 analysis with applications to high-dimensional data sets". Statistics and
 Computing, 34: 26. <doi:10.1007/s11222-023-10328-x>.

Package: r-cran-causact
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
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Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-extradistr, r-cran-mvtnorm
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Description: CRAN Package 'causact' (Fast, Easy, and Visual Bayesian Inference)
 Accelerate Bayesian analytics workflows in 'R' through interactive
 modelling, visualization, and inference. Define probabilistic graphical
 models using directed acyclic graphs (DAGs) as a unifying language for
 business stakeholders, statisticians, and programmers. This package relies
 on interfacing with the 'numpyro' python package.

Package: r-cran-causal.decomp
Architecture: all
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Priority: optional
Section: gnu-r
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Installed-Size: 179
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Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-causal.decomp_0.1.0-1.ca2004.1_all.deb
Size: 135068
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Homepage: https://cran.r-project.org/package=causal.decomp
Description: CRAN Package 'causal.decomp' (Causal Decomposition Analysis)
 We implement causal decomposition analysis using the methods proposed by
 Park, Lee, and Qin (2020) and Park, Kang, and Lee (2021+)
 <arXiv:2109.06940>. This package allows researchers to use the
 multiple-mediator-imputation, single-mediator-imputation, and
 product-of-coefficients regression methods to estimate the initial
 disparity, disparity reduction, and disparity remaining. It also allows to
 make the inference conditional on baseline covariates. We also implement
 sensitivity analysis for the causal decomposition analysis using R-squared
 values as sensitivity parameters (Park, Kang, Lee, and Ma, 2023).

Package: r-cran-causalbatch
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Priority: optional
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Suggests: r-cran-tidyr, r-cran-ggpubr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-roxygen2, r-cran-ks, r-cran-ggplot2
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Homepage: https://cran.r-project.org/package=causalBatch
Description: CRAN Package 'causalBatch' (Causal Batch Effects)
 Software which provides numerous functionalities for detecting and removing
 group-level effects from high-dimensional scientific data which, when
 combined with additional assumptions, allow for causal conclusions,
 as-described in our manuscripts Bridgeford et al. (2024)
 <doi:10.1101/2021.09.03.458920> and Bridgeford et al. (2023)
 <doi:10.48550/arXiv.2307.13868>. Also provides a number of useful utilities
 for generating simulations and balancing covariates across multiple
 groups/batches of data via matching and propensity trimming for more than
 two groups.

Package: r-cran-causalcmprsk
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Priority: optional
Section: gnu-r
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Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-tidyverse, r-cran-ggalt, r-cran-cobalt, r-cran-ggsci, r-cran-modeva, r-cran-naniar, r-cran-dt, r-cran-hmisc, r-cran-hrbrthemes, r-cran-summarytools
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Homepage: https://cran.r-project.org/package=causalCmprsk
Description: CRAN Package 'causalCmprsk' (Nonparametric and Cox-Based Estimation of Average TreatmentEffects in Competing Risks)
 Estimation of average treatment effects (ATE) of point interventions on
 time-to-event outcomes with K competing risks (K can be 1). The method uses
 propensity scores and inverse probability weighting for emulation of
 baseline randomization, which is described in Charpignon et al. (2022)
 <doi:10.1038/s41467-022-35157-w>.

Package: r-cran-causaldata
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Homepage: https://cran.r-project.org/package=causaldata
Description: CRAN Package 'causaldata' (Example Data Sets for Causal Inference Textbooks)
 Example data sets to run the example problems from causal inference
 textbooks. Currently, contains data sets for Huntington-Klein, Nick (2021
 and 2025) "The Effect" <https://theeffectbook.net>, first and second
 edition, Cunningham, Scott (2021 and 2025, ISBN-13: 978-0-300-25168-5)
 "Causal Inference: The Mixtape", and Hernán, Miguel and James Robins (2020)
 "Causal Inference: What If"
 <https://www.hsph.harvard.edu/miguel-hernan/causal-inference-book/>.

Package: r-cran-causaldisco
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Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pcalg, r-cran-igraph, r-cran-rcolorbrewer, r-cran-gtools, r-cran-clipr, r-cran-scales
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Homepage: https://cran.r-project.org/package=causalDisco
Description: CRAN Package 'causalDisco' (Tools for Causal Discovery on Observational Data)
 Various tools for inferring causal models from observational data. The
 package includes an implementation of the temporal Peter-Clark (TPC)
 algorithm. Petersen, Osler and Ekstrøm (2021) <doi:10.1093/aje/kwab087>. It
 also includes general tools for evaluating differences in adjacency
 matrices, which can be used for evaluating performance of causal discovery
 procedures.

Package: r-cran-causaldrf
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Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mgcv, r-cran-survey
Suggests: r-cran-bayestree, r-cran-dplyr, r-cran-foreign, r-cran-hmisc, r-cran-knitr, r-cran-mass, r-cran-nnet, r-cran-reshape2, r-cran-rmarkdown, r-cran-sas7bdat, r-cran-testthat, r-cran-tidyr
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Homepage: https://cran.r-project.org/package=causaldrf
Description: CRAN Package 'causaldrf' (Estimating Causal Dose Response Functions)
 Functions and data to estimate causal dose response functions given
 continuous, ordinal, or binary treatments.  A description of the methods is
 given in Galagate (2016) <https://drum.lib.umd.edu/handle/1903/18170>.

Package: r-cran-causaleffect
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1042
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-r.rsp, r-cran-xml
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Homepage: https://cran.r-project.org/package=causaleffect
Description: CRAN Package 'causaleffect' (Deriving Expressions of Joint Interventional Distributions andTransport Formulas in Causal Models)
 Functions for identification and transportation of causal effects. Provides
 a conditional causal effect identification algorithm (IDC) by Shpitser, I.
 and Pearl, J. (2006) <http://ftp.cs.ucla.edu/pub/stat_ser/r329-uai.pdf>, an
 algorithm for transportability from multiple domains with limited
 experiments by Bareinboim, E. and Pearl, J. (2014)
 <http://ftp.cs.ucla.edu/pub/stat_ser/r443.pdf>, and a selection bias
 recovery algorithm by Bareinboim, E. and Tian, J. (2015)
 <http://ftp.cs.ucla.edu/pub/stat_ser/r445.pdf>. All of the previously
 mentioned algorithms are based on a causal effect identification algorithm
 by Tian , J. (2002) <http://ftp.cs.ucla.edu/pub/stat_ser/r309.pdf>.

Package: r-cran-causalgam
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Priority: optional
Section: gnu-r
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Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gam
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Homepage: https://cran.r-project.org/package=CausalGAM
Description: CRAN Package 'CausalGAM' (Estimation of Causal Effects with Generalized Additive Models)
 Implements various estimators for average treatment effects - an inverse
 probability weighted (IPW) estimator, an augmented inverse probability
 weighted (AIPW) estimator, and a standard regression estimator - that make
 use of generalized additive models for the treatment assignment model and/or
 outcome model. See: Glynn, Adam N.  and Kevin M. Quinn. 2010. "An
 Introduction to the Augmented Inverse Propensity Weighted Estimator."
 Political Analysis. 18: 36-56.

Package: r-cran-causalhypergraph
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Section: gnu-r
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Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-stringr, r-cran-useful, r-cran-cna
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Homepage: https://cran.r-project.org/package=causalHyperGraph
Description: CRAN Package 'causalHyperGraph' (Drawing Causal Hypergraphs)
 Draws causal hypergraph plots from models output by configurational
 comparative methods such as Coincidence Analysis (CNA) or Qualitative
 Comparative Analysis (QCA).

Package: r-cran-causalimpact
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Priority: optional
Section: gnu-r
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Installed-Size: 1156
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bsts, r-cran-assertthat, r-cran-boom, r-cran-ggplot2, r-cran-zoo
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
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Homepage: https://cran.r-project.org/package=CausalImpact
Description: CRAN Package 'CausalImpact' (Inferring Causal Effects using Bayesian Structural Time-SeriesModels)
 Implements a Bayesian approach to causal impact estimation in time series,
 as described in Brodersen et al. (2015) <DOI:10.1214/14-AOAS788>.  See the
 package documentation on GitHub <https://google.github.io/CausalImpact/> to
 get started.

Package: r-cran-causalkinetix
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Homepage: https://cran.r-project.org/package=CausalKinetiX
Description: CRAN Package 'CausalKinetiX' (Learning Stable Structures in Kinetic Systems)
 Implementation of 'CausalKinetiX', a framework for learning stable
 structures in kinetic systems. Apart from the main functions CausalKinetiX()
 and CausalKinetiX.modelranking() it includes functions to generate data from
 three simulations models, which can be used to benchmark structure learning
 methods for linear ordinary differential equation models. A detailed
 description of the underlying methods as well as details on the examples are
 given in Pfister, Bauer and Peters (2018) <arXiv:1810.11776>.

Package: r-cran-causalmbsts
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Priority: optional
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Installed-Size: 229
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Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-causalmbsts_0.1.1-1.ca2004.1_all.deb
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Homepage: https://cran.r-project.org/package=CausalMBSTS
Description: CRAN Package 'CausalMBSTS' (MBSTS Models for Causal Inference and Forecasting)
 Infers the causal effect of an intervention on a multivariate response
 through the use of Multivariate Bayesian Structural Time Series models
 (MBSTS) as described in Menchetti & Bojinov (2020) <arXiv:2006.12269>.  The
 package also includes functions for model building and forecasting.

Package: r-cran-causalmetar
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Priority: optional
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Suggests: r-cran-testthat
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Homepage: https://cran.r-project.org/package=CausalMetaR
Description: CRAN Package 'CausalMetaR' (Causally Interpretable Meta-Analysis)
 Provides robust and efficient methods for estimating causal effects in a
 target population using a multi-source dataset, including those of Dahabreh
 et al. (2019) <doi:10.1111/biom.13716>, Robertson et al. (2021)
 <doi:10.48550/arXiv.2104.05905>, and Wang et al. (2024)
 <doi:10.48550/arXiv.2402.02684>. The multi-source data can be a collection
 of trials, observational studies, or a combination of both, which have the
 same data structure (outcome, treatment, and covariates). The target
 population can be based on an internal dataset or an external dataset where
 only covariate information is available. The causal estimands available are
 average treatment effects and subgroup treatment effects. See Wang et al.
 (2025) <doi:10.1017/rsm.2025.5> for a detailed guide on using the package.

Package: r-cran-causalmodels
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-causaldata, r-cran-boot, r-cran-multcomp, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-causalmodels_0.2.1-1.ca2004.1_all.deb
Size: 104320
MD5sum: ae7b206e0f55a6e2e14e7581655f562f
SHA1: 4bc6184e05f7f7bdcdb68e5f2f5b71f89992d94d
SHA256: e7ba03bac2f9e1dc5492fc3ffe741b89b902780b04f8338c46b7124530075a63
SHA512: 9660ea10ecc927b981f7a5a5a623bd00e1663d57fbe28705bdfa38fdc9317c5189286cc6d9302bcac05a384322e9a64200557a93ab83f2d9ddff46e56adc3951
Homepage: https://cran.r-project.org/package=CausalModels
Description: CRAN Package 'CausalModels' (Causal Inference Modeling for Estimation of Causal Effects)
 Provides an array of statistical models common in causal inference such as
 standardization, IP weighting, propensity matching, outcome regression, and
 doubly-robust estimators. Estimates of the average treatment effects from
 each model are given with the standard error and a 95% Wald confidence
 interval (Hernan, Robins (2020) <https://miguelhernan.org/whatifbook/>).

Package: r-cran-causaloptim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2067
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-shiny, r-cran-rcdd
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-causaloptim_1.0.0-1.ca2004.1_all.deb
Size: 840940
MD5sum: 715332ab67e7b854e91ad5812cad250b
SHA1: 5968e40a35479b91d944d2933a234306407db3ef
SHA256: 3ff5e7203cfa64a4726cc15ce45de7ac3c184004ebe8cf8f412e28aba344a601
SHA512: 034f0a9db7c8347dacd02fd14ab5b6510561e1edb98f520e3d2b84d2305dbd5cd37c4c463551a692db8a3878d73864b2a780407dd10419f4deed2567200f159b
Homepage: https://cran.r-project.org/package=causaloptim
Description: CRAN Package 'causaloptim' (An Interface to Specify Causal Graphs and Compute Bounds onCausal Effects)
 When causal quantities are not identifiable from the observed data, it still
 may be possible to bound these quantities using the observed data. We
 outline a class of problems for which the derivation of tight bounds is
 always a linear programming problem and can therefore, at least
 theoretically, be solved using a symbolic linear optimizer. We extend and
 generalize the approach of Balke and Pearl (1994)
 <doi:10.1016/B978-1-55860-332-5.50011-0> and we provide a user friendly
 graphical interface for setting up such problems via directed acyclic graphs
 (DAG), which only allow for problems within this class to be depicted. The
 user can then define linear constraints to further refine their assumptions
 to meet their specific problem, and then specify a causal query using a text
 interface. The program converts this user defined DAG, query, and
 constraints, and returns tight bounds. The bounds can be converted to R
 functions to evaluate them for specific datasets, and to latex code for
 publication. The methods and proofs of tightness and validity of the bounds
 are described in a paper by Sachs, Jonzon, Gabriel, and Sjölander (2022)
 <doi:10.1080/10618600.2022.2071905>.

Package: r-cran-causalpaf
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1201
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-checkmate, r-cran-dagitty, r-cran-dplyr, r-cran-forestplot, r-cran-ggdag, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-mass, r-cran-reshape2, r-cran-rlist
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-causalpaf_1.2.5-1.ca2004.1_all.deb
Size: 1145900
MD5sum: e1d10520fa0cdec5991de30cbe7b307b
SHA1: 186c900b3745d4d411ca80b326fac9fa4d962386
SHA256: 4e083e9cb72c4373800c613481d9ea223bb84167ac331212f2af5ac566a0cdc0
SHA512: cf4effe882457437496e80e19d6912aa204c0ed36e980599883c819dee10cf95d9560c7da7c1d87f36094debe3ff205f8d232a20ba88eef3425cb074de354df4
Homepage: https://cran.r-project.org/package=causalPAF
Description: CRAN Package 'causalPAF' (Causal Effect for Population Attributable Fractions (PAF))
 Calculates population attributable fraction causal effects.  The 'causalPAF'
 package contains a suite of functions for causal analysis calculations of
 population attributable fractions (PAF) given a causal diagram which apply
 both: Pathway-specific population attributable fractions (PS-PAFs) O’Connell
 and Ferguson (2022) <doi:10.1093/ije/dyac079> and Sequential population
 attributable fractions Ferguson, O’Connell, and O’Donnell (2020)
 <doi:10.1186/s13690-020-00442-x>.  Results are presentable in both table and
 plot format.

Package: r-cran-causalqual
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aer, r-cran-caret, r-cran-cli, r-cran-ggplot2, r-cran-ggsci, r-cran-grf, r-cran-lmtest, r-cran-magrittr, r-cran-ocf, r-cran-rdrobust, r-cran-sandwich, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-causalqual_1.0.0-1.ca2004.1_all.deb
Size: 637352
MD5sum: fc65a5dfdb8645c1240eece1f048bc0d
SHA1: ece17b1f41793ba64dfda1f37e949c354c1a172f
SHA256: 1c994dbe544766e295c018ad9220a117042743e5f5621974e93aaa5c2030cb09
SHA512: 4c0780f082efd9725912768f6e6b8cb97d07ac06ece7509920d4c46a0ed6cf2e1fc830f392f23d90c4b6ca5acc10bc60d39a47f1e0c75ea92b28e49014fe7540
Homepage: https://cran.r-project.org/package=causalQual
Description: CRAN Package 'causalQual' (Causal Inference for Qualitative Outcomes)
 Implements the framework introduced in Di Francesco and Mellace (2025)
 <doi:10.48550/arXiv.2502.11691>, shifting the focus to well-defined and
 interpretable estimands that quantify how treatment affects the probability
 distribution over outcome categories. It supports selection-on-observables,
 instrumental variables, regression discontinuity, and
 difference-in-differences designs.

Package: r-cran-causalreg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-causalreg_0.1.0-1.ca2004.1_all.deb
Size: 36992
MD5sum: 7c86f4b7a04fea86a68625cd09a73b97
SHA1: 5b1c1674fee54f160144cb949fc3af5bb5d2b27d
SHA256: e2ce2ba58a2009bcab0a45a93b65840703c676c59acdbcd59bc55b1032638358
SHA512: a01f803df385a12d513c4352f76257324ca66df49217902206aedc501e7a92e6e972d99338483a9aa6f97347d3dcb829249a337dab6861314469248d45108cb5
Homepage: https://cran.r-project.org/package=causalreg
Description: CRAN Package 'causalreg' (Causal Generalized Linear Models)
 An implementation of methods for causal discovery in a structural causal
 model where the conditional distribution of the target node is described by
 a generalized linear model conditional on its causal parents.

Package: r-cran-causalsens
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 996
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-causalsens_0.1.3-1.ca2004.1_all.deb
Size: 402108
MD5sum: 8beeb0528537dd9694a588d60048ca71
SHA1: ec110fd4f01f65e0e2f161196d67832ee94769f4
SHA256: 9e95f9cae3f458841ae40d2fe82ccff85ee3189ba3cc7ce56318300a3d6cd45d
SHA512: 394b51fef1751eec42e913bd00f6f79b045151f706e2954eec560fa23bdb94ada82842c6bdd679ff875a6b887cee02a23a193ead130e89b27595d9f9eeaf2d41
Homepage: https://cran.r-project.org/package=causalsens
Description: CRAN Package 'causalsens' (Selection Bias Approach to Sensitivity Analysis for CausalEffects)
 The causalsens package provides functions to perform sensitivity analyses
 and to study how various assumptions about selection bias affects estimates
 of causal effects.

Package: r-cran-causalweight
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2698
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger, r-cran-mvtnorm, r-cran-np, r-cran-larf, r-cran-hdm, r-cran-superlearner, r-cran-glmnet, r-cran-xgboost, r-cran-e1071, r-cran-fastdummies, r-cran-grf, r-cran-checkmate, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-causalweight_1.1.3-1.ca2004.1_all.deb
Size: 2456508
MD5sum: 3b745902a350cd44b22e4e6e546ddd8e
SHA1: 769112328656eeb253c12d9359bb82796d649df6
SHA256: 1a15845190059c4813cae71540bf9df82a08319547c8ecc03b585c7d200daf25
SHA512: 2b6a30e840b6c6f85d4a138b84e3dd66c74997ea47d6adbdb3c73bd82260b75a9a1fc0ee31bbec754ec7b20df1890be72f716792151032713cf2618c8c8943b7
Homepage: https://cran.r-project.org/package=causalweight
Description: CRAN Package 'causalweight' (Estimation Methods for Causal Inference Based on InverseProbability Weighting and Doubly Robust Estimation)
 Various estimators of causal effects based on inverse probability weighting,
 doubly robust estimation, and double machine learning. Specifically, the
 package includes methods for estimating average treatment effects, direct
 and indirect effects in causal mediation analysis, and dynamic treatment
 effects. The models refer to studies of Froelich (2007)
 <doi:10.1016/j.jeconom.2006.06.004>, Huber (2012)
 <doi:10.3102/1076998611411917>, Huber (2014)
 <doi:10.1080/07474938.2013.806197>, Huber (2014) <doi:10.1002/jae.2341>,
 Froelich and Huber (2017) <doi:10.1111/rssb.12232>, Hsu, Huber, Lee, and
 Lettry (2020) <doi:10.1002/jae.2765>, and others.

Package: r-cran-causcor
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-writexls
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-causcor_0.1.3-1.ca2004.1_all.deb
Size: 35636
MD5sum: 26229e565a00d62dde37ffffaf4bb9bb
SHA1: 1c7418fb3778fc711d178202398a75f949223f59
SHA256: f0d9f0a61a06d32829852bf6b7bc0a8377db1d1cae41017d64ba3a8b6fc3d454
SHA512: b9f90e72e0e6c729afe9f442d7d0571667799b84bcce47285973dc44fa612b7c115760f0a32a7c05cd89934413a03d6a791813d03aff5d99e47e45e0fe21cecc
Homepage: https://cran.r-project.org/package=CausCor
Description: CRAN Package 'CausCor' (Calculate Correlations and Estimate Causality)
 This tool performs pairwise correlation analysis and estimate causality.
 Particularly, it is useful for detecting the metabolites that would be
 altered by the gut bacteria.

Package: r-cran-causens
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-knitr, r-cran-pkgdown, r-cran-psweight, r-cran-rjags, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-usethis, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-causens_0.0.3-1.ca2004.1_all.deb
Size: 570764
MD5sum: 14f8e6575066bfae3bc43af6112da821
SHA1: e30e110c97d628469e44913a86327af86b43a1e9
SHA256: 59be02dd9949ecc3629106db83b97308af8ca473556c97d83df767b13127244f
SHA512: bc5fc5c101f54474b5c9bbe5e7b4716746c4a6f45dc3b6b3c696bc7a7a8c8dad03a13c7f09badf8b87843094c54d3d06023e3ad645c213eb5ff58ccdd96f093b
Homepage: https://cran.r-project.org/package=causens
Description: CRAN Package 'causens' (Perform Causal Sensitivity Analyses Using Various StatisticalMethods)
 While data from randomized experiments remain the gold standard for causal
 inference, estimation of causal estimands from observational data is
 possible through various confounding adjustment methods. However, the
 challenge of unmeasured confounding remains a concern in causal inference,
 where failure to account for unmeasured confounders can lead to biased
 estimates of causal estimands. Sensitivity analysis within the framework of
 causal inference can help adjust for possible unmeasured confounding. In
 `causens`, three main methods are implemented: adjustment via sensitivity
 functions (Brumback, Hernán, Haneuse, and Robins (2004)
 <doi:10.1002/sim.1657> and Li, Shen, Wu, and Li (2011)
 <doi:10.1093/aje/kwr096>), Bayesian parametric modelling and Monte Carlo
 approaches (McCandless, Lawrence C and Gustafson, Paul (2017)
 <doi:10.1002/sim.7298>).

Package: r-cran-cavariants
Architecture: all
Version: 6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggforce, r-cran-ggrepel, r-cran-gridextra, r-cran-ggplot2, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-cavariants_6.0-1.ca2004.1_all.deb
Size: 157256
MD5sum: e1a58684e9fb795b90d62c0dfe15a609
SHA1: 6e2615e49544619309d03a12ee5c07c22507ce8b
SHA256: f777a0676c655ac5be2fcbfaa0fdd269f09bc12b4b8590f36fd44f53a7735542
SHA512: 361052d0ba93683c90a03947546813dee77f7a54c7bebe1eff1d08fbe78fd726ef41195d5116ec7dade0e72d9bd0136070b0c692a2fdeba1036432c2b995efb3
Homepage: https://cran.r-project.org/package=CAvariants
Description: CRAN Package 'CAvariants' (Correspondence Analysis Variants)
 Provides six variants of two-way correspondence analysis (ca): simple ca,
 singly ordered ca, doubly ordered ca, non symmetrical ca, singly ordered non
 symmetrical ca, and doubly ordered non symmetrical ca.

Package: r-cran-cbamodel
Architecture: all
Version: 0.0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-cbamodel_0.0.1.2-1.ca2004.1_all.deb
Size: 22500
MD5sum: 0c26f3f72e39d1167bbe8c1ce3c9cd33
SHA1: 9b6b09c69b2ea0363441e97b9d13e60a81d5fea8
SHA256: 78021e850cc46ce989f7f979d75239ec6aae7fc21c0af5b42bfe08a8143dadb9
SHA512: db6726bfd9b1872af3c873b62261b2e860826ab9634a8a713ad8c2e825dabd7e45f7eb827dc21c4586dd9bd629072bbeae100836b4da6409c59d978a5b920b8a
Homepage: https://cran.r-project.org/package=CBAModel
Description: CRAN Package 'CBAModel' (Stochastic 3D Structure Model for Binder-Conductive AdditivePhase)
 Simulation of the stochastic 3D structure model for the nanoporous
 binder-conductive additive phase in battery cathodes introduced in P.
 Gräfensteiner, M. Osenberg, A. Hilger, N. Bohn, J. R. Binder, I. Manke, V.
 Schmidt, M. Neumann (2024) <doi:10.48550/arXiv.2409.11080>. The model is
 developed for a binder-conductive additive phase of consisting of carbon
 black, polyvinylidene difluoride binder and graphite particles. For its
 stochastic 3D modeling, a three-step procedure based on methods from
 stochastic geometry is used. First, the graphite particles are described by
 a Boolean model with ellipsoidal grains. Second, the mixture of carbon black
 and binder is modeled by an excursion set of a Gaussian random field in the
 complement of the graphite particles. Third, large pore regions within the
 mixture of carbon black and binder are described by a Boolean model with
 spherical grains.

Package: r-cran-cbanalysis
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cbanalysis_0.2.0-1.ca2004.1_all.deb
Size: 17976
MD5sum: c30f2d03e46946ff43c7ad4deff0207e
SHA1: f719f2aa93888acbaada97c9a67f463d9133e99a
SHA256: 06b816d0d6c843e9a93b86e4b28d0a94a9b32851641ee23e9c9495e9cef183a3
SHA512: 2b92b250687b4fa0f334891b1a32a2cca2fac22bba087c9094eb04bce554fdca21965f403f0722bbc698b6b53153200de1f7ca782f95ea4e5d4e4f66310cdf78
Homepage: https://cran.r-project.org/package=cbanalysis
Description: CRAN Package 'cbanalysis' (Coffee Break Descriptive Analysis)
 A set of functions that helps you to generate descriptive statistics based
 on the variable types.

Package: r-cran-cbass
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cbass_0.1-1.ca2004.1_all.deb
Size: 76092
MD5sum: 5a7e7cd0e25f8c0ac758b5f506936a8f
SHA1: 75c014ce53ab75d59c12f6711c7f634616167768
SHA256: f8e00d2221086faf28973766381562766bdab49fe23463c9bbbf30080e0c4319
SHA512: c683878b2bdc81176004ca303961d1078b92cfbc69a92ea5b328b7f478b9b03d1cbf5b349364024caaab4a4aaec86b3929729e3a8a614d44202a44c24b2ccebf
Homepage: https://cran.r-project.org/package=cbass
Description: CRAN Package 'cbass' (Classification -- Bayesian Adaptive Smoothing Splines)
 Fit multiclass Classification version of Bayesian Adaptive Smoothing Splines
 (CBASS) to data using reversible jump MCMC. The multiclass classification
 problem consists of a response variable that takes on unordered categorical
 values with at least three levels, and a set of inputs for each response
 variable. The CBASS model consists of a latent multivariate probit
 formulation, and the means of the latent Gaussian random variables are
 specified using adaptive regression splines. The MCMC alternates updates of
 the latent Gaussian variables and the spline parameters. All the spline
 parameters (variables, signs, knots, number of interactions), including the
 number of basis functions used to model each latent mean, are inferred.
 Functions are provided to process inputs, initialize the chain, run the
 chain, and make predictions. Predictions are made on a probabilistic basis,
 where, for a given input, the probabilities of each categorical value are
 produced. See Marrs and Francom (2023) "Multiclass classification using
 Bayesian multivariate adaptive regression splines" Under review.

Package: r-cran-cbassed50
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-drc, r-cran-rlog, r-cran-dplyr, r-cran-ggplot2, r-cran-readxl, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cbassed50_0.2.0-1.ca2004.1_all.deb
Size: 105240
MD5sum: 0334154fe6deafc055a4eeff489143e5
SHA1: 802dee39b8d9be68f947f20639ea6a20666c457d
SHA256: 97aa2f5a9fa8740f64bfb21477d0193d47e18666a4fba6b43d505b9c44763a2a
SHA512: 2b591319bd7248a0f830bb1cd82dcb51edd3852966107129553f125fa6d5ed8948e452ca85783a9c7b41ede36fc0f9cb4927abad0f59c1ec50902cc19a5055ef
Homepage: https://cran.r-project.org/package=CBASSED50
Description: CRAN Package 'CBASSED50' (Process CBASS-Derived PAM Data)
 Tools to process CBASS-derived PAM data efficiently. Minimal requirements
 are PAM-based photosynthetic efficiency data (or data from any other
 continuous variable that changes with temperature, e.g. relative bleaching
 scores) from 4 coral samples (nubbins) subjected to 4 temperature profiles
 of at least 2 colonies from 1 coral species from 1 site. Please refer to the
 following CBASS (Coral Bleaching Automated Stress System) papers for
 in-depth information regarding CBASS acute thermal stress assays,
 experimental design considerations, and ED5/ED50/ED95 thermal parameters:
 Nicolas R. Evensen et al. (2023) <doi:10.1002/lom3.10555> Christian R.
 Voolstra et al. (2020) <doi:10.1111/gcb.15148> Christian R. Voolstra et al.
 (2025) <doi:10.1146/annurev-marine-032223-024511>.

Package: r-cran-cbcgrps
Architecture: all
Version: 2.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-cbcgrps_2.8.2-1.ca2004.1_all.deb
Size: 77844
MD5sum: d364c4e75a3c74c2c60c62c933aa577c
SHA1: 1bb940924c734305075f951637615f6c32e1b551
SHA256: 05f9cee5006dd1ec391e2aa3174304efab357ef8282e6b67c5f8a2e518d6284f
SHA512: c176322109aafd6ea3e133aacc1890ef855db58244724c8fe0a7cf5663227a8a56797a5de9e29ca2455b9efc5f3dd571a57ea527e44a3a18d01b009162f3d6f1
Homepage: https://cran.r-project.org/package=CBCgrps
Description: CRAN Package 'CBCgrps' (Compare Baseline Characteristics Between Groups)
 Compare baseline characteristics between two or more groups. The variables
 being compared can be factor and numeric variables. The function will
 automatically judge the type and distribution of the variables, and make
 statistical description and bivariate analysis.

Package: r-cran-cbctools
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1283
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-algdesign, r-cran-doe.base, r-cran-fastdummies, r-cran-ggplot2, r-cran-idefix, r-cran-logitr, r-cran-mass, r-cran-randtoolbox, r-cran-rlang
Suggests: r-cran-here, r-cran-knitr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cbctools_0.5.0-1.ca2004.1_all.deb
Size: 654348
MD5sum: 6a7f0324425bca15e8100e40d19b32d5
SHA1: f5f989e0b31545bc92c306d3e7c58be9a423ffe2
SHA256: 665e3430c4475ea3cbf98d5d09946bf00f42f0b6428a75af82c8e019c803bfc1
SHA512: aa5fdc6405c1a9837bb6084ee73eb65307161f3b773b1a489e77a9dade82625d754161c808f0d1e78c74a59c368e49e022c33da804b203c85f98da5d606e11f5
Homepage: https://cran.r-project.org/package=cbcTools
Description: CRAN Package 'cbcTools' (Choice-Based Conjoint Experiment Design Generation and PowerEvaluation in R)
 Design and evaluate choice-based conjoint survey experiments. Generate a
 variety of survey designs, including random designs, full factorial designs,
 orthogonal designs, D-optimal designs, and Bayesian D-efficient designs as
 well as designs with "no choice" options and "labeled" (also known as
 "alternative specific") designs. Conveniently inspect the design balance and
 overlap, and simulate choice data for a survey design either randomly or
 according to a multinomial or mixed logit utility model defined by
 user-provided prior parameters. Conduct a power analysis for a given survey
 design by estimating the same model on different subsets of the data to
 simulate different sample sizes. Full factorial and orthogonal designs are
 obtained using the 'DoE.base' package (Grömping, 2018)
 <doi:10.18637/jss.v085.i05>. D-optimal designs are obtained using the
 'AlgDesign' package (Wheeler, 2022)
 <https://CRAN.R-project.org/package=AlgDesign>. Bayesian D-efficient designs
 are obtained using the 'idefix' package (Traets et al, 2020)
 <doi:10.18637/jss.v096.i03>. Choice simulation and model estimation in power
 analyses are handled using the 'logitr' package (Helveston, 2023)
 <doi:10.18637/jss.v105.i10>.

Package: r-cran-cbda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1399
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-superlearner, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-cbda_1.0.0-1.ca2004.1_all.deb
Size: 882956
MD5sum: e91a0cf5ad36e180f18f1e0b08909724
SHA1: 29c6315fd842be743904a5e007bb8d66070a894f
SHA256: 207e412b90465e3a6f55f2a0ce92561bcd3f8349ac06257aa179d092652b758f
SHA512: beeb7b21da7949eb265e228f205483e60c84a3811a2397c58ec5d22d368dc3848a7cdbab3bb24225ae5aa73412884195e7f3d48b23b3e646487270065178cc13
Homepage: https://cran.r-project.org/package=CBDA
Description: CRAN Package 'CBDA' (Compressive Big Data Analytics)
 Classification performed on Big Data. It uses concepts from compressive
 sensing, and implements ensemble predictor (i.e., 'SuperLearner') and
 knockoff filtering as the main machine learning and feature mining engines.

Package: r-cran-cbioportalr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-tibble, r-cran-purrr, r-cran-magrittr, r-cran-rlang, r-cran-glue, r-cran-jsonlite, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-cli
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cbioportalr_1.1.1-1.ca2004.1_all.deb
Size: 2072104
MD5sum: 10c9caec681bd9a3fb6ae1a571472267
SHA1: 912b31c4f7b0c3c0072d9dce201eaa213d2a7136
SHA256: 9aef68f1fd092455bcacfaf3b2a9feae638551f3f2fa3f9f842c758e57a51780
SHA512: 899e8d0e61d9465e10b355ce627bd14742cc5dae95b998297f8bd0a3ade55c28af5b136f7f4718d02f60446f807238eda58743da9d0f85fc995ed4ba4965df7f
Homepage: https://cran.r-project.org/package=cbioportalR
Description: CRAN Package 'cbioportalR' (Browse and Query Clinical and Genomic Data from cBioPortal)
 Provides R users with direct access to genomic and clinical data from the
 'cBioPortal' web resource via user-friendly functions that wrap
 'cBioPortal's' existing API endpoints
 <https://www.cbioportal.org/api/swagger-ui/index.html>. Users can browse and
 query genomic data on mutations, copy number alterations and fusions, as
 well as data on tumor mutational burden ('TMB'), microsatellite instability
 status ('MSI'), 'FACETS' and select clinical data points (depending on the
 study).  See <https://www.cbioportal.org/> and Gao et al., (2013)
 <doi:10.1126/scisignal.2004088> for more information on the cBioPortal web
 resource.

Package: r-cran-cbl
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-foreach, r-cran-glmnet, r-cran-lightgbm
Filename: pool/dists/focal/main/r-cran-cbl_0.1.3-1.ca2004.1_all.deb
Size: 54680
MD5sum: 50a52d3b011c7d5bf0923b79be940783
SHA1: fa91d84aa38215bb8cad601e9b7ec74d938ff247
SHA256: ab049431dc9c963835b5a9e28b9b54e875b699ddd4f6502bd0e050824663a1ed
SHA512: aff3e63fc6b802dff5f677972e87c7bf626b8376f86a1023c8eccf5f205982136c947dbe46f7a6acd5c3884e2afc0c61f4d291a406dcd5ecb341207d23a5aa6b
Homepage: https://cran.r-project.org/package=cbl
Description: CRAN Package 'cbl' (Causal Discovery under a Confounder Blanket)
 Methods for learning causal relationships among a set of foreground
 variables X based on signals from a (potentially much larger) set of
 background variables Z, which are known non-descendants of X. The confounder
 blanket learner (CBL) uses sparse regression techniques to simultaneously
 perform many conditional independence tests, with complementary pairs
 stability selection to guarantee finite sample error control. CBL is sound
 and complete with respect to a so-called "lazy oracle", and works with both
 linear and nonlinear systems. For details, see Watson & Silva (2022)
 <arXiv:2205.05715>.

Package: r-cran-cbpe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cbpe_0.1.0-1.ca2004.1_all.deb
Size: 99076
MD5sum: f9b3c258e05c42cadfecb3a28b2c4935
SHA1: b8b445782a0d55e3b712f74c066ab2da8b77778f
SHA256: e4b038c26d170c94b77d66bca482afe69155e6a48e80808d69c57ebd45b0c23e
SHA512: c2374646a0511e8c6f25c1fabef7640e8e1b6a08b58b1ca40b0bbf6f1be8be6ce22fc6d64db83246b6484d6e29cdc0a6c7c9601d0b96c3a52553e502953a1f10
Homepage: https://cran.r-project.org/package=CBPE
Description: CRAN Package 'CBPE' (Correlation-Based Penalized Estimators)
 Provides correlation-based penalty estimators for both linear and logistic
 regression models by implementing a new regularization method that
 incorporates correlation structures within the data. This method encourages
 a grouping effect where strongly correlated predictors tend to be in or out
 of the model together. See Tutz and Ulbricht (2009)
 <doi:10.1007/s11222-008-9088-5> and Algamal and Lee (2015)
 <doi:10.1016/j.eswa.2015.08.016>.

Package: r-cran-cbps
Architecture: all
Version: 0.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matchit, r-cran-nnet, r-cran-numderiv, r-cran-glmnet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cbps_0.23-1.ca2004.1_all.deb
Size: 356356
MD5sum: 59f658d26c1d44bfef92416fad07ebfe
SHA1: fce98782e5d43d70a327bbd4c5d58163add493fa
SHA256: bd4a3ce5f589311657dc4107bec0174eb1340c11f00bc48872fa99a433c0e41d
SHA512: 5ebbf023828315d74aaa249b6ad189fbca2a1ebc2a18766210e40dff30a43d31565b0cb8821fbc59b824dcb80b64e8f069291a7458cfafdeba3fe0d15b97dba9
Homepage: https://cran.r-project.org/package=CBPS
Description: CRAN Package 'CBPS' (Covariate Balancing Propensity Score)
 Implements the covariate balancing propensity score (CBPS) proposed by Imai
 and Ratkovic (2014) <DOI:10.1111/rssb.12027>. The propensity score is
 estimated such that it maximizes the resulting covariate balance as well as
 the prediction of treatment assignment. The method, therefore, avoids an
 iteration between model fitting and balance checking.  The package also
 implements optimal CBPS from Fan et al. (in-press)
 <DOI:10.1080/07350015.2021.2002159>, several extensions of the CBPS beyond
 the cross-sectional, binary treatment setting.  They include the CBPS for
 longitudinal settings so that it can be used in conjunction with marginal
 structural models from Imai and Ratkovic (2015)
 <DOI:10.1080/01621459.2014.956872>, treatments with three- and four-valued
 treatment variables, continuous-valued treatments from Fong, Hazlett, and
 Imai (2018) <DOI:10.1214/17-AOAS1101>, propensity score estimation with a
 large number of covariates from Ning, Peng, and Imai (2020)
 <DOI:10.1093/biomet/asaa020>, and the situation with multiple distinct
 binary treatments administered simultaneously. In the future it will be
 extended to other settings including the generalization of experimental and
 instrumental variable estimates.

Package: r-cran-cbrt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 632
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cbrt_0.1.1-1.ca2004.1_all.deb
Size: 514092
MD5sum: 09c8d16fa4ca880b7e3e6b9e86901780
SHA1: f57b9a3f99980260781269406db1ccb906c14722
SHA256: 02751bdb9d0a420484719f6be5985c4bacf19d778d2007259d9d406a4a90b182
SHA512: 3de65c93e22d1f4a6ffdd222d063622333360b6c15ba6aa9aaafad6fdaf91e1ade9592af834b17c930ffa23b023bcfe2cd4124d3947880037443d6a667e6be33
Homepage: https://cran.r-project.org/package=CBRT
Description: CRAN Package 'CBRT' (CBRT Data on Turkish Economy)
 The Central Bank of the Republic of Turkey (CBRT) provides one of the most
 comprehensive time series databases on the Turkish economy. The 'CBRT'
 package provides functions for accessing the CBRT's electronic data delivery
 system <https://evds2.tcmb.gov.tr/>. It contains the lists of all data
 categories and data groups for searching the available variables (data
 series).  As of November 3, 2024, there were 40,826 variables in the
 dataset. The lists of data categories and data groups can be updated by the
 user at any time. A specific variable, a group of variables, or all
 variables in a data group can be downloaded at different frequencies using a
 variety of aggregation methods.

Package: r-cran-cbsodatar
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 800
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-whisker, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-shiny, r-cran-testthat, r-cran-sf
Filename: pool/dists/focal/main/r-cran-cbsodatar_1.1-1.ca2004.1_all.deb
Size: 575108
MD5sum: d948e96f142652df7528e1dfad9b69df
SHA1: f58132c6a4125aee39668b1a94fcfdddbf5dee84
SHA256: a8a9c573908174943743d269bcdc277e439faf90fc404e3c2fbd01f754e82883
SHA512: 6d53b996c5aa6acdbac77a46f432484b1e33a3ae6b334e6d2096fc63effa996f9b98ced43a04ddb34dfbf68801c6e4b8e66626fea7855f7e616935805102366b
Homepage: https://cran.r-project.org/package=cbsodataR
Description: CRAN Package 'cbsodataR' (Statistics Netherlands (CBS) Open Data API Client)
 The data and meta data from Statistics Netherlands (<https://www.cbs.nl>)
 can be browsed and downloaded. The client uses the open data API of
 Statistics Netherlands.

Package: r-cran-cbsr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-nlcoptim
Filename: pool/dists/focal/main/r-cran-cbsr_1.0.5-1.ca2004.1_all.deb
Size: 41348
MD5sum: 9492d63b19ac2628ac21ca5023533e65
SHA1: 2eaa97c09c530ceb487f066e0931d23920530b1f
SHA256: e62db6ba1284a401f0b8536f10493d5bf8b383b5ecf1c8a80c461b4bf7ccdf10
SHA512: ddca835c9246369c5d730b95695e3e1a7788e2c8277ca4e779d3d47b0b44c3633ee7c0ca75cfa7262ec8a58ea73a0dabc488990f49666036dac3204ec711b194
Homepage: https://cran.r-project.org/package=CBSr
Description: CRAN Package 'CBSr' (Fits Cubic Bezier Spline Functions to Intertemporal and RiskyChoice Data)
 Uses monotonically constrained Cubic Bezier Splines (CBS) to approximate
 latent utility functions in intertemporal choice and risky choice data. For
 more information, see Lee, Glaze, Bradlow, and Kable
 <doi:10.1007/s11336-020-09723-4>.

Package: r-cran-cbsreps
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-assertthat, r-cran-kfas, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cbsreps_0.1.0-1.ca2004.1_all.deb
Size: 153268
MD5sum: 65a9f87f53523ebd22e6a32b023e17cf
SHA1: 89bb9848084dac701e81bb22aad32f4cc9ced068
SHA256: 5916d0e51dec78b7d1f4e3739b4fd0912cd1afce70a218058e3814845d383b3d
SHA512: 3559553f1a8e7d15a9c57d44bc70d031d14120cf6cff59bb1dcf7930ed950536a2f3d7424fe37b3756e234a32968569772151c8993c3a75df2435dd411c28ea4
Homepage: https://cran.r-project.org/package=cbsREPS
Description: CRAN Package 'cbsREPS' (Hedonic and Multilateral Index Methods for Real Estate PriceStatistics)
 Compute price indices using various Hedonic and multilateral methods,
 including Laspeyres, Paasche, Fisher, and HMTS (Hedonic Multilateral Time
 series re-estimation with splicing). The central function
 calculate_price_index() offers a unified interface for running these methods
 on structured datasets. This package is designed to support index
 construction workflows for real estate and other domains where
 quality-adjusted price comparisons over time are essential. The development
 of this package was funded by Eurostat and Statistics Netherlands (CBS), and
 carried out by Statistics Netherlands.  The HMTS method implemented here is
 described in Ishaak, Ouwehand and Remøy (2024)
 <doi:10.1177/0282423X241246617>. For broader methodological context, see
 Eurostat (2013, ISBN:978-92-79-25984-5, <doi:10.2785/34007>).

Package: r-cran-cbt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cbt_1.0-1.ca2004.1_all.deb
Size: 22844
MD5sum: a5efee2936adc96c27dbaaea076ef39a
SHA1: 8af01919d69473feb2d6dc979bb59577ab3d6369
SHA256: 11a19e2a8056768a34c143200a636773683a91389e46c068c46a35c87c837bb3
SHA512: 60952e1c27b25f5ace3549d4f4a5df7ab2b35d0c0b0d4e340790c03b718023e2e66c32b307b80fe7f3286b0c7883c78193854e61d040fe21518980411ce4a0fc
Homepage: https://cran.r-project.org/package=CBT
Description: CRAN Package 'CBT' (Confidence Bound Target Algorithm)
 The Confidence Bound Target (CBT) algorithm is designed for infinite arms
 bandit problem. It is shown that CBT algorithm achieves the regret lower
 bound for general reward distributions. Reference: Hock Peng Chan and Shouri
 Hu (2018) <arXiv:1805.11793>.

Package: r-cran-cc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cc_1.0-1.ca2004.1_all.deb
Size: 44960
MD5sum: 71b3abaa9ec20688a762d6a990361c66
SHA1: 76b4200e0e46d9dcd65dcef7b3c1b09f2ddda78e
SHA256: 04dd82f9613279f9fa274c51a7df087438dc1b10a848bb672ab8cf3adfaebd1f
SHA512: 9c74a2e65aabf3d37bc297fcb6999125dffd64579cdd234fd4cb3e007368cda947985671e6c0b9ca8b07a7c56177ea12495acef8dcaf3bcc89f6e53a43a85a26
Homepage: https://cran.r-project.org/package=CC
Description: CRAN Package 'CC' (Control Charts)
 Tools for creating and visualizing statistical process control charts.
 Control charts are used for monitoring measurement processes, such as those
 occurring in manufacturing.  The objective is to monitor the history of such
 processes and flag outlying measurements: out-of-control signals.
 Montgomery, D. (2009, ISBN:978-0-470-16992-6) contains an extensive
 discussion of the methodology.

Package: r-cran-cca
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fda, r-cran-fields
Filename: pool/dists/focal/main/r-cran-cca_1.2.2-1.ca2004.1_all.deb
Size: 60820
MD5sum: ad339fe0f0808bff33368c1962dfc2d9
SHA1: 918b120dea18793e5d12bcfeb83dc40baf33836b
SHA256: b52b25857d1a7f758862325157eb608d02fece5b21b5f73e826c4ca638cc37d4
SHA512: 3265a9cb285c86d7acafd68d356989405a9e0dd1e9edb2893d415a8efa8757795dce46b54f6623904e95412dca42c32331cfea58d51c2fb6ea73e65aa49360f1
Homepage: https://cran.r-project.org/package=CCA
Description: CRAN Package 'CCA' (Canonical Correlation Analysis)
 Provides a set of functions that extend the 'cancor' function with new
 numerical and graphical outputs. It also include a regularized extension of
 the canonical correlation analysis to deal with datasets with more variables
 than observations.

Package: r-cran-ccamlrgis
Architecture: all
Version: 4.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-terra, r-cran-magrittr, r-cran-isoband, r-cran-bezier, r-cran-lwgeom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccamlrgis_4.2.1-1.ca2004.1_all.deb
Size: 4199756
MD5sum: 609bda37cc2d5b3829b6c804548db7cd
SHA1: ec9c04b9f015d9eea629de16702e9e62ff75a56d
SHA256: 4a7a45ae03ebc7fd5a10480c612fccf8a1fb2a2eb83fa1c7cd4832a47a7331a1
SHA512: f15dc95feacb150f670ff694befc3492428d2c9a69eb7c81277d3a757beae678ebfe3a4044b7de95501708cc60efeb0b49863c5a1a8b6c4c93e95ba2c26e7f0c
Homepage: https://cran.r-project.org/package=CCAMLRGIS
Description: CRAN Package 'CCAMLRGIS' (Antarctic Spatial Data Manipulation)
 Loads and creates spatial data, including layers and tools that are relevant
 to the activities of the Commission for the Conservation of Antarctic Marine
 Living Resources. Provides two categories of functions: load functions and
 create functions.  Load functions are used to import existing spatial layers
 from the online CCAMLR GIS such as the ASD boundaries. Create functions are
 used to create layers from user data such as polygons and grids.

Package: r-cran-ccboost
Architecture: all
Version: 0.1-1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mpath, r-cran-xgboost
Suggests: r-cran-r.rsp, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-ccboost_0.1-1.3-1.ca2004.1_all.deb
Size: 490164
MD5sum: 6b1c64079f57295f3f57a3076235b123
SHA1: fe4e66bf226b12b4bc75b84bfb626f5ff679b53b
SHA256: 89d3d6a4995a4bdecd65bc53f8cc5ed789797de28c42b42533c760e34405a953
SHA512: b1a5106d1241ab81d19e0b0c21dfbdbc4520b9218f46a8ae5d3e749aa58f512421e0b75004f85e43e8c1ea64f9a6314fb0d363ba12648046f5726753af36011a
Homepage: https://cran.r-project.org/package=ccboost
Description: CRAN Package 'ccboost' (Robust Boosting)
 Robust functional descent algorithm for concave-convex family through
 composite optimization by conjugation operator. Wang (2021)
 <arXiv:2101.07718>.

Package: r-cran-cccd
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-proxy, r-cran-deldir, r-cran-fnn
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-cccd_1.6-1.ca2004.1_all.deb
Size: 100184
MD5sum: eb29fd1871c144a9e6bbed187e12981f
SHA1: 24e9eb8280902e5e85e4c3f0612659efaffbc5ff
SHA256: 79dfa21f5f1bf91dd9c697db8e9fc5604292a7746dc0b500c839d8c86a6543de
SHA512: 9a18a320d30c87c7d8379a1749da511f6c657cd074e6e79c4cfde9d23f9adc85c40a2acc9b8986a7a83721f6b1d39aaeaa51c544510c8e585e5e9edb082a3ab1
Homepage: https://cran.r-project.org/package=cccd
Description: CRAN Package 'cccd' (Class Cover Catch Digraphs)
 Class Cover Catch Digraphs, neighborhood graphs, and relatives.

Package: r-cran-ccchooser
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-ccchooser_0.2.6-1.ca2004.1_all.deb
Size: 73664
MD5sum: ec69e1cacb11d421247dda4a328336a5
SHA1: da62b4d7dbef3cbc6888a7c6d8240c397f7bce25
SHA256: 25679a05b02e968be3edad58229bee4dc805e3f894861e3acbddf39f635ce9a8
SHA512: dbc2bd54fa2a6ad8e9f9473729b25659e62baf492ff79011cbc6791ed63513f3c47606507e387fb3ed5beb889033f86e412882a60dc1369f6087b1a74f62d7db
Homepage: https://cran.r-project.org/package=ccChooser
Description: CRAN Package 'ccChooser' (Developing a core collections)
 ccChooser can be used to developing and evaluation of core collections for
 germplasm collections (entire collection). This package used to develop a
 core collection for biological resources like genbanks. A core collection is
 defined as a sample of accessions that represent, with the lowest possible
 level of redundancy, the genetic diversity (the richness of gene or genotype
 categories) of the entire collection. The establishing a core collection
 that represents genetic diversity of the entire collection with minimum loss
 of its original diversity and minimum redundancies is an important problem
 for gene-banks curators and crop breeders. ccChooser establish core
 collection base on phenotypic data (agronomic, morphological, phenological).

Package: r-cran-cccm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-cccm_0.1.0-1.ca2004.1_all.deb
Size: 57784
MD5sum: 2f0df0e615c64e40215976620fa86447
SHA1: 61eee39fc80de114423b8720e6049b6dfdc96cd2
SHA256: 564228e0d5446f4d1b8da20174a102eeac5213d29f64247afe35005af7b491d6
SHA512: 3d2ee921e21e48142a9221a902bb98adabb714f8de6c060efdab55ba91bb6b8517f4f8896a5f12dd89ed4d35e641577e4946537c9f21c5fce84e3b9e8f47425e
Homepage: https://cran.r-project.org/package=cccm
Description: CRAN Package 'cccm' (Crossed Classification Credibility Model)
 Calculates the credit debt for the next period based on the available data
 using the cross-classification credibility model.

Package: r-cran-cccrm
Architecture: all
Version: 3.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nlme, r-cran-dplyr, r-cran-deriv, r-cran-tidyselect, r-cran-progressr, r-cran-furrr, r-cran-nlmeu, r-cran-parallelly, r-cran-purrr, r-cran-tidyr, r-cran-lifecycle, r-cran-future, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cccrm_3.0.5-1.ca2004.1_all.deb
Size: 166168
MD5sum: 8fcd1c889ff01f02709454b0df0d0280
SHA1: 37767cc218074486c1a92793665317ec250a4398
SHA256: c4182ca92d56383e43c1227f1c2e9ee060a03423d3bb3cad06bb3f7c4a820c64
SHA512: d0fb13d34eb1d7e3c4447ebbd0a2cf31760c5823874961e090301bc39ceaa2343e88a87440fb09cc15194abed017c573e1dac38bbf47cb1a5360e5eddaade27a
Homepage: https://cran.r-project.org/package=cccrm
Description: CRAN Package 'cccrm' (Concordance Correlation Coefficient for Repeated (andNon-Repeated) Measures)
 Estimates the Concordance Correlation Coefficient to assess agreement. The
 scenarios considered are non-repeated measures, non-longitudinal repeated
 measures (replicates) and longitudinal repeated measures. It also includes
 the estimation of the one-way intraclass correlation coefficient also known
 as reliability index. The estimation approaches implemented are variance
 components and U-statistics approaches. Description of methods can be found
 in Fleiss (1986) <doi:10.1002/9781118032923> and Carrasco et al. (2013)
 <doi:10.1016/j.cmpb.2012.09.002>.

Package: r-cran-ccd
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Suggests: r-cran-rfast2, r-cran-skellam
Filename: pool/dists/focal/main/r-cran-ccd_1.1-1.ca2004.1_all.deb
Size: 28864
MD5sum: fdb42cf45c8fd168c9a4c0dd487a3e58
SHA1: f2aebfeae054196865cc61e131cfe191f4e5302b
SHA256: 90179fcf4b3f48945506cdd7d6e5ce7690b5f502e3d9b459fce6a961da2bfff4
SHA512: 43ccb17cf240c95233dad27161471a004ba37814ad910365123b737e1b0a41f80341a8a2d63917c9c0c4a4fd38ac6deb47e0b68902d4982888697bab62a0a383
Homepage: https://cran.r-project.org/package=CCd
Description: CRAN Package 'CCd' (The Cauchy-Cacoullos (Discrete Cauchy) Distribution)
 Maximum likelihood estimation of the Cauchy-Cacoullos (discrete Cauchy)
 distribution. Probability mass, distribution and quantile function are also
 included. The reference paper is: Papadatos N. (2022). "The Characteristic
 Function of the Discrete Cauchy Distribution in Memory of T. Cacoullos".
 Journal of Statistical Theory Practice, 16(3): 47.
 <doi:10.1007/s42519-022-00268-6>.

Package: r-cran-ccda
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ccda_1.1.1-1.ca2004.1_all.deb
Size: 28876
MD5sum: 939e1bf9e9d5c34e9488944734b41b61
SHA1: 8410807560c8bf80b80769f2fae384733b1bb68d
SHA256: c4188be963276e029cdf30799f532ce57d3e1e055351f6ac2ec87e8470135ff6
SHA512: 511e70aa103d04a9a051e54f073e49e551a8e136b4c57abbad1463a194f54c52e073148e1975b66a70277970d557af22ca8a6e9fc20637d2d493dda44be40837
Homepage: https://cran.r-project.org/package=ccda
Description: CRAN Package 'ccda' (Combined Cluster and Discriminant Analysis)
 Implements the combined cluster and discriminant analysis method for finding
 homogeneous groups of data with known origin as described in Kovacs et. al
 (2014): Classification into homogeneous groups using combined cluster and
 discriminant analysis (CCDA). Environmental Modelling & Software.
 <doi:10.1016/j.envsoft.2014.01.010>.

Package: r-cran-ccdf
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-matrixstats, r-cran-compquadform, r-cran-rcppnumerical, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-randomforest, r-cran-rpart, r-cran-statmod, r-cran-viridislite, r-cran-survey, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-ccdf_1.1.4-1.ca2004.1_all.deb
Size: 103260
MD5sum: f8b3cbb1c4bb97df42c409dcbb0ffbe7
SHA1: 995d10eba99a119d842e1c8a462b337963e51f57
SHA256: cb998ed68b8f839ff0d359c8a938994e8a0524f67e0ae9eba8bce12934ac9708
SHA512: 2ea3b7546afefe6e533580b49ee5659561237abb520bba69ab01f4dbfae0b6a124da412767ec464826632402c704af026a36619568da986602f44a7f9ebaa683
Homepage: https://cran.r-project.org/package=ccdf
Description: CRAN Package 'ccdf' (Distribution-Free Single-Cell Differential Expression Analysis)
 Complex hypothesis testing through conditional cumulative distribution
 function estimation.  Method is detailed in: Gauthier M, Agniel D, Thiebaut
 R & Hejblum BP (2020).  "Distribution-free complex hypothesis testing for
 single-cell RNA-seq differential expression analysis", BioRxiv
 <doi:10.1101/2021.05.21.445165>.

Package: r-cran-ccdr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-countcolors, r-cran-devtools, r-cran-dt, r-cran-ggplot2, r-cran-gridextra, r-cran-httptest, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-testthat, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ccdr_1.1.0-1.ca2004.1_all.deb
Size: 1888064
MD5sum: 408c723522c7d874921c3f50676a2f87
SHA1: b0e75d2988c400ea4e2ee3a6475bfade2be125fc
SHA256: 9754c0136ad2cbc7492c55123517915f516b8bc20066917498bbdfbf522e3571
SHA512: 136863d6e83ade03c7e967d3a5752dd39a7636800ec806602cd95358a5fe526508ca3e4d94e869af920a3b02cbfe47cae7997478626199487f56dbf3d97607f0
Homepage: https://cran.r-project.org/package=ccdR
Description: CRAN Package 'ccdR' (Utilities for Interacting with the 'CTX' APIs)
 Access chemical, hazard, bioactivity, and exposure data from the
 Computational Toxicology and Exposure ('CTX') APIs
 <https://api-ccte.epa.gov/docs/>. 'ccdR' was developed to streamline the
 process of accessing the information available through the 'CTX' APIs
 without requiring prior knowledge of how to use APIs. Most data is also
 available on the CompTox Chemical Dashboard ('CCD')
 <https://comptox.epa.gov/dashboard/> and other resources found at the EPA
 Computational Toxicology and Exposure Online Resources
 <https://www.epa.gov/comptox-tools>.

Package: r-cran-cchs
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cchs_0.4.5-1.ca2004.1_all.deb
Size: 93052
MD5sum: 8cc61228cde892e9bfbbe53e563d0b2a
SHA1: c7124fac99ecaa9c80b7bc56eba5fa1b4b941276
SHA256: 576e537e30fa65b5c9ecf7d7cdfb68efc1419f6e8600b97b7e01abafdcc5afb2
SHA512: 35722e8d85de422771444596c2454e9a5ebd8d9c7a0647682fb4bf5ce990215de90143ea036bbce426b218542072bac41f1d5f35bd58084f6314eb87dcae6ab8
Homepage: https://cran.r-project.org/package=cchs
Description: CRAN Package 'cchs' (Cox Model for Case-Cohort Data with StratifiedSubcohort-Selection)
 Contains a function, also called 'cchs', that calculates Estimator III of
 Borgan et al (2000), <DOI:10.1023/A:1009661900674>. This estimator is for
 fitting a Cox proportional hazards model to data from a case-cohort study
 where the subcohort was selected by stratified simple random sampling.

Package: r-cran-cchsflow
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2417
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-haven, r-cran-dplyr, r-cran-sjlabelled, r-cran-stringr, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cchsflow_2.1.0-1.ca2004.1_all.deb
Size: 1225084
MD5sum: 9f3c85dad5a4105790f703173dfdc495
SHA1: 6416484b736b95ad86c57d4ac8fb23932f8b005a
SHA256: dc20aa272f78bc6e33de922ee5c03985f163f770faf8fc8dce52993057c9dcde
SHA512: 8f1f4c9c538c880fed0db42b93aca94817f42b9ef00ae68958c7c72b93c8a2fff7698c00a722253b3597d1a933158372551560bef6cae4ea164fe4d188a0a2b0
Homepage: https://cran.r-project.org/package=cchsflow
Description: CRAN Package 'cchsflow' (Transforming and Harmonizing CCHS Variables)
 Supporting the use of the Canadian Community Health Survey (CCHS) by
 transforming variables from each cycle into harmonized, consistent versions
 that span survey cycles (currently, 2001 to 2018). CCHS data used in this
 library is accessed and adapted in accordance to the Statistics Canada Open
 Licence Agreement. This package uses rec_with_table(), which was developed
 from 'sjmisc' rec(). Lüdecke D (2018). "sjmisc: Data and Variable
 Transformation Functions". Journal of Open Source Software, 3(26), 754.
 <doi:10.21105/joss.00754>.

Package: r-cran-ccid
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-idetect, r-cran-hdbinseg, r-cran-genenet, r-cran-gdata
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccid_1.2.0-1.ca2004.1_all.deb
Size: 84672
MD5sum: 096f391f83b1473e4b21586531e4f1b2
SHA1: 3d1a0b9d7d34221d434913c30cebdae23080bb91
SHA256: 01883eeb75525b40a2ea2afafdb921892be20e1afc207e24947314f3a0690fbe
SHA512: 789b7e060954997bb4f3ca346344196e57b2957892bd7377c82d8adf9ebebb3e5dd8a99779328a4105020d129bca977c555315da99d1d00bd8af809f5795c11f
Homepage: https://cran.r-project.org/package=ccid
Description: CRAN Package 'ccid' (Cross-Covariance Isolate Detect: a New Change-Point Method forEstimating Dynamic Functional Connectivity)
 Provides efficient implementation of the Cross-Covariance Isolate Detect
 (CCID) methodology for the estimation of the number and location of multiple
 change-points in the second-order (cross-covariance or network) structure of
 multivariate, possibly high-dimensional time series. The method is motivated
 by the detection of change points in functional connectivity networks for
 functional magnetic resonance imaging (fMRI), electroencephalography (EEG),
 magentoencephalography (MEG) and electrocorticography (ECoG) data. The main
 routines in the package have been extensively tested on fMRI data.  For
 details on the CCID methodology, please see Anastasiou et al (2022),
 Cross-covariance isolate detect: A new change-point method for estimating
 dynamic functional connectivity. Medical Image Analysis, Volume 75.

Package: r-cran-ccm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ccm_1.2-1.ca2004.1_all.deb
Size: 61428
MD5sum: b147b046a2341b98dda265bb3a22e902
SHA1: b9c4f9b47281a5e6df57526f020ec8a288238047
SHA256: 2e474756a5fd9da04fc202ede710bd7d4635100b428f412a81321ee27d415c37
SHA512: 0867183d7aa706a559f20287c677bbf36ccc0a25d115f0a76bd8aae2f414bd8b845be11a113b3a387259c6acb4095dacaa46cbdab1212b99791514198c90039a
Homepage: https://cran.r-project.org/package=CCM
Description: CRAN Package 'CCM' (Correlation Classification Method)
 Classification method described in Dancik et al (2011)
 <doi:10.1158/0008-5472.CAN-11-2427> that classifies a sample according to
 the class with the maximum mean (or any other function of) correlation
 between the test and training samples with known classes.

Package: r-cran-ccmestimator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccmestimator_1.0.0-1.ca2004.1_all.deb
Size: 103176
MD5sum: 64a968f8eb870fa5422f77603c43123d
SHA1: a80d93a62e34e6bf8d0fd98cd377dfa3d0ac7059
SHA256: 4ae3c58b6c84533c0c6757d14fe96bd6155b272500c84e14f3d525806698a602
SHA512: fb26559bd0df3a9030346631ec8398fa473518bc21695f813448eb72bfb40385c1ae228b9ade49edc57a62d0e55b981f08ae185f43741a146625c013d8c2c182
Homepage: https://cran.r-project.org/package=ccmEstimator
Description: CRAN Package 'ccmEstimator' (Comparative Causal Mediation Estimation)
 Functions to perform comparative causal mediation analysis to compare the
 mediation effects of different treatments via a common mediator. Results
 contain the estimates and confidence intervals for the two comparative
 causal mediation analysis estimands, as well as the ATE and ACME for each
 treatment. Functions provided in the package will automatically assess the
 comparative causal mediation analysis scope conditions (i.e. for each
 comparative causal mediation estimand, a numerator and denominator that are
 both estimated with the desired statistical significance and of the same
 sign). Results will be returned for each comparative causal mediation
 estimand only if scope conditions are met for it. See details in
 Bansak(2020)<doi:10.1017/pan.2019.31>.

Package: r-cran-ccml
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dicer, r-cran-tidyr, r-cran-snftool, r-cran-plyr, r-bioc-consensusclusterplus
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccml_1.4.0-1.ca2004.1_all.deb
Size: 51532
MD5sum: e2287cabf43f03b6784c07a5e3c62d84
SHA1: 30bfdce1dedc7d19728f00e52dd4a0e4b558db07
SHA256: 73cd2ef0589cefd89b61d0eee268e4ff051230660f708e763835691645929627
SHA512: 77072fbff305febd5929483b584254985271c0d0485abfa18b3341e4189b7a26b03f0db303ed18b9efe9613f0b2619ec1ee819aaeb80311800160a3d644f71a3
Homepage: https://cran.r-project.org/package=ccml
Description: CRAN Package 'ccml' (Consensus Clustering for Different Sample Coverage Data)
 Consensus clustering, also called meta-clustering or cluster ensembles, has
 been increasingly used in clinical data. Current consensus clustering
 methods tend to ensemble a number of different clusters from mathematical
 replicates with similar sample coverage. As the fact of common variety of
 sample coverage in the real-world data, a new consensus clustering strategy
 dealing with such biological replicates is required. This is a two-step
 consensus clustering package, which is used to input multiple predictive
 labels with different sample coverage (missing labels).

Package: r-cran-ccmm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ccmm_1.0-1.ca2004.1_all.deb
Size: 94632
MD5sum: 5e0f91b871a22a0d4ef892c270a22d8b
SHA1: dd94da467669dcdd830bcce8186d24bcf079ed42
SHA256: 488d3925888c23bd5a76bc03e608afaf055c312e4830f4fc368b2d826ce7d0a5
SHA512: bb2f3650a0e7a1a5fd6ebffb4a02a4aaefd8f6854ad88a29281a4b6ae3797c77b10767dd7154b9e1579471a5bde4f89608af4a23e7bebb21ef2a70671fb66735
Homepage: https://cran.r-project.org/package=ccmm
Description: CRAN Package 'ccmm' (Compositional Mediation Model)
 Estimate the direct and indirect (mediation) effects of treatment on the
 outcome when intermediate variables (mediators) are compositional and
 high-dimensional. Sohn, M.B. and Li, H. (2017). Compositional Mediation
 Analysis for Microbiome Studies. (AOAS: In revision).

Package: r-cran-ccmreportr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-keyring, r-cran-lubridate, r-cran-purrr, r-cran-tibble, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-ccmreportr_0.1.0-1.ca2004.1_all.deb
Size: 54316
MD5sum: cc8d21fc128e3982588adac5deab0677
SHA1: 43849aebd51bacf9c31d7af2b13211380a0155e5
SHA256: bfc9989511120feb52829d4889e84a7f3671423d1d6c7beb22fab737d1be704d
SHA512: d7a919b2148933a67617cf446753793d77a60c638d55ca0fdebecaaeff79ed84fce0bbb089863d7df0fce1b9afa87af6efba514a0e6571ab1b1571b5f9aef30c
Homepage: https://cran.r-project.org/package=ccmReportR
Description: CRAN Package 'ccmReportR' (Wraps 'CCM' with Utility Functions)
 Provides a set of functions to perform queries against the 'CCM' API
 <https://mohcontacttracing.my.salesforce.com>.

Package: r-cran-ccoptimalmatch
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ccoptimalmatch_0.1.0-1.ca2004.1_all.deb
Size: 248728
MD5sum: 20c5c4b81874181b98fad4b1da0a9554
SHA1: 8b92a5182f7a9688411ff889a4abc19d44ca22b1
SHA256: 96bbdddb945433304c79d62e4f07484e70a319c21e1e33caf4355efa2d474e6e
SHA512: 9009817f2a62a6dba0eb73a757e1ba994c44840d6772bf8e16ce43a2ff5972a66f553315e4f1297967bcedbfb57a63642f6b8f960723ca15b30b58232334b117
Homepage: https://cran.r-project.org/package=ccoptimalmatch
Description: CRAN Package 'ccoptimalmatch' (Implementation of Case-Control Optimal Matching)
 Cases are matched to controls in an efficient, optimal and computationally
 flexible way. It uses the idea of sub-sampling in the level of the case, by
 creating pseudo-observations of controls. The user can select between
 replacement and without replacement, the number of controls, and several
 covariates to match upon. See Mamouris (2021)
 <doi:10.1186/s12874-021-01256-3> for an overview.

Package: r-cran-ccostr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-knitr, r-cran-msm, r-cran-forcats, r-cran-rlang, r-cran-data.table, r-cran-survival, r-cran-rdpack
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccostr_0.1.0-1.ca2004.1_all.deb
Size: 901444
MD5sum: e45e2b41a3beb7225de37a1ed8964641
SHA1: 3432524e467498b21765153e287a8e314ce54018
SHA256: feceb5e01e2fd3a7285405a079db44976e3ed21678f27bea7b26e39d3c8cbd23
SHA512: b2579981c9ce5acad63130704cea164af40c5a5195891ca90306fb76ddbc98b44b7a4fc8a2b5b70e863c7c7efd88f7bad2c32f7b2891bbf7f02c7a277b8ee5d2
Homepage: https://cran.r-project.org/package=ccostr
Description: CRAN Package 'ccostr' (Estimation of Mean Costs in Censored Data)
 Implementation of estimators for inferring the mean of censored cost data.
 Including the estimators BT from Bang and Tsiatis (2000)
 <doi:10.1093/biomet/87.2.329> and ZT from Zhao and Tian (2001)
 <doi:10.1111/j.0006-341X.2001.01002.x>.

Package: r-cran-ccp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ccp_1.2-1.ca2004.1_all.deb
Size: 44132
MD5sum: d3b91d29aa01917cfa1a3f1312014ff3
SHA1: 772251c407bc31d7a3f2e32f9f3d4208d26b8518
SHA256: d80f461b6821c70e9c9e4776c7cb23a238957ee8346b274f2c01d13bba01b82a
SHA512: d1cb1b4a8362ebca747a28df157fa55d8a89c9b56d1ec5ccc36d433fd4fd714ca265244fe60ffb4e3477cb854d58068329aabe31f09694e81e13b60355c2d554
Homepage: https://cran.r-project.org/package=CCP
Description: CRAN Package 'CCP' (Significance Tests for Canonical Correlation Analysis (CCA))
 Significance tests are provided for canonical correlation analysis,
 including asymptotic tests and a Monte Carlo method.

Package: r-cran-ccpsyc
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-lavaan, r-cran-readr, r-cran-mcmcpack, r-cran-psych, r-cran-ufs, r-cran-xlsx, r-cran-tibble, r-cran-rlang, r-cran-rcppalgos, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ccpsyc_0.2.6-1.ca2004.1_all.deb
Size: 115116
MD5sum: 72acca2f69b9ae307746252fdd8cb2ee
SHA1: 36b07eed8b9f6fa249807032acaf374c65c45880
SHA256: 4ec97904cf1d4eacd720d6a197d32223c2bb250c06f84f53d5c1840899a746de
SHA512: 8b29b3087442b70e89008f186a6cc75a588575d04eecbab46b5e3c505b40893ec495ff2841a325b2e9b4a82eec56c02875e855c472a6bf1e7dae93ab7262a860
Homepage: https://cran.r-project.org/package=ccpsyc
Description: CRAN Package 'ccpsyc' (Methods for Cross-Cultural Psychology)
 With the development of new cross-cultural methods this package is intended
 to combine multiple functions automating and simplifying functions providing
 a unified analysis approach for commonly employed methods.

Package: r-cran-ccremover
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2270
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ccremover_1.0.4-1.ca2004.1_all.deb
Size: 2232644
MD5sum: d7f5e2639a898b251a2ffd6ca4498b85
SHA1: 15bd57dcc6286207e85258ad9438ed4427bc3fd3
SHA256: bd1c9ec49e31e55a31d798d4e6001164452e4253ad328b92dbf443774844902e
SHA512: 70118449d1505a970a96c33a8117e6e241614df60008e8fd8db53f2d2a8e7834216d73d9b500d3b9a34cb5b8ebe4563f65a4d2ba8ba260c4ca24bcd4a3c5ad08
Homepage: https://cran.r-project.org/package=ccRemover
Description: CRAN Package 'ccRemover' (Removes the Cell-Cycle Effect from Single-Cell RNA-SequencingData)
 Implements a method for identifying and removing the cell-cycle effect from
 scRNA-Seq data. The description of the method is in Barron M. and Li J.
 (2016) <doi:10.1038/srep33892>. Identifying and removing the cell-cycle
 effect from single-cell RNA-Sequencing data. Submitted.  Different from
 previous methods, ccRemover implements a mechanism that formally tests
 whether a component is cell-cycle related or not, and thus while it often
 thoroughly removes the cell-cycle effect, it preserves other
 features/signals of interest in the data.

Package: r-cran-ccsrfind
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 837
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ccsrfind_0.1.0-1.ca2004.1_all.deb
Size: 700200
MD5sum: 4c40ee642e0a8b67e39aa565e223c7d0
SHA1: 6269127863f3692fa2902bde37f5041915851701
SHA256: 76a269739f43db7be8ffbbb3ef2ddbc499cda04f0bc1683056e35b538bf1b644
SHA512: 6c7880874e95d26b430a36cd86cdba70b5cbebd46701ec04c689d1ffbf04d7e69d4a4835406d5b59e852e5534a4a1dfb1416d241381ece91375815d7f02264a6
Homepage: https://cran.r-project.org/package=CCSRfind
Description: CRAN Package 'CCSRfind' (Convert ICD-10 Codes to CCSR Codes)
 Provides a tool for matching ICD-10 codes to corresponding Clinical
 Classification Software Refined (CCSR) codes. The main function, CCSRfind(),
 identifies each CCSR code that applies to an individual given their
 diagnosis codes. It also provides a summary of CCSR codes that are matched
 to a dataset. The package contains 3 datasets: 'DXCCSR' (mapping of ICD-10
 codes to CCSR codes), 'Legend' (conversion of DXCCSR to CCSRfind-usable
 format for CCSR codes with less than or equal to 1000 ICD-10 diagnosis
 codes), and 'LegendExtend' (conversion of DXCCSR to CCSRfind-usable format
 for CCSR codes with more than 1000 ICD-10 dx codes). The disc() function
 applies grepl() ('base') to multiple columns and is used in CCSRfind().

Package: r-cran-ccss
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ccss_1.0-1.ca2004.1_all.deb
Size: 18180
MD5sum: e9ad4ad948978d301ce7fa050b0b5298
SHA1: 734c978b6aef6e685380a99ce53874c8f993ff66
SHA256: 6fdc9aeb42ed48a3600691872b874cfca587bc34786f110a4a97127689176de0
SHA512: 6b30d95488b33070f9a30241220da9691a12e25777dfc3dacb209cb95736d7b727b19490750b785aa057af1ac68311335eeeb7373bdae0772499972c0f7b19a7
Homepage: https://cran.r-project.org/package=ccss
Description: CRAN Package 'ccss' (Cluster Circular Systematic Sampling)
 Draws systematic samples from a population that follows linear trend. The
 function returns a matrix comprising of the required samples as its column
 vectors. The samples produced are highly efficient and the inter sampling
 variance is minimum. The scheme will be useful in various field like
 Bioinformatics where the samples are expensive and must be precise in
 reflecting the population by possessing least sampling variance.

Package: r-cran-cctensor
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-mass, r-cran-igraph, r-cran-rtensor
Suggests: r-cran-testthat, r-cran-nntensor
Filename: pool/dists/focal/main/r-cran-cctensor_1.0.2-1.ca2004.1_all.deb
Size: 35284
MD5sum: 4a279810ab77baee1047c695a3c782a5
SHA1: 2da8059b353a7dbb2d519dd2ec655d8b39281e51
SHA256: 1b75a611a60479e3ba551a940a63369a5f70ca1458eeb9bf51688f815ecda01f
SHA512: d3165466449271f2f2052796413b76d5863cf31560744864e4c44262847c96a6e7cfe9a7dac6cbabdd1fb13fe7ef5b3c6146f57a2938c31b20df6406a46724a4
Homepage: https://cran.r-project.org/package=ccTensor
Description: CRAN Package 'ccTensor' (CUR/CX Tensor Decomposition)
 CUR/CX decomposition factorizes a matrix into two factor matrices and
 Multidimensional CX Decomposition factorizes a tensor into a core tensor and
 some factor matrices. See the reference section of GitHub README.md
 <https://github.com/rikenbit/ccTensor>, for details of the methods.

Package: r-cran-cctest
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cctest_2.1.0-1.ca2004.1_all.deb
Size: 41388
MD5sum: 20e1a1e0e6ff1fc8e3c25aada24302dd
SHA1: 711f1d7b7f8ea87b3a4edf270abdbdcfd6d6aff2
SHA256: 6820e8c80f9bcb57c0effa1d0380820d6791efeb6e239aab7934a243138b7b39
SHA512: decb81ccf9fecbe7bbf1896c17e84fe513ce6a5481f22e91d04c3f724ff4b70dfeced7584505783d7663c9fa1b04f88bcd3115b9e90cf33cbda341813014d04c
Homepage: https://cran.r-project.org/package=cctest
Description: CRAN Package 'cctest' (Canonical Correlations and Tests of Independence)
 A simple interface for multivariate correlation analysis that unifies
 various classical statistical procedures including t-tests, tests in
 univariate and multivariate linear models, parametric and nonparametric
 tests for correlation, Kruskal-Wallis tests, common approximate versions of
 Wilcoxon rank-sum and signed rank tests, chi-squared tests of independence,
 score tests of particular hypotheses in generalized linear models, canonical
 correlation analysis and linear discriminant analysis.

Package: r-cran-cctpack
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2jags, r-cran-rjags, r-cran-psych, r-cran-mvtnorm, r-cran-polycor, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cctpack_1.5.2-1.ca2004.1_all.deb
Size: 279948
MD5sum: 0a2a23c98883ddfb23178730282eb433
SHA1: 28d8103f4079d2e004ca002428c775fb3c27530b
SHA256: f108ca74e90d68f7c7c62668058005312394f7f5bc0e54192441e9e7c7b5a598
SHA512: e5e4d951868ad91ccafc900137bf77f3ec6beaf92573a47f40cfcca5a03969b54e195ed540669990c680b97e33edba5e3e2f79e691dba29c3b77e20596962b14
Homepage: https://cran.r-project.org/package=CCTpack
Description: CRAN Package 'CCTpack' (Consensus Analysis, Model-Based Clustering, and CulturalConsensus Theory Applications)
 Consensus analysis, model-based clustering, and cultural consensus theory
 applications to response data (e.g. questionnaires). The models are applied
 using hierarchical Bayesian inference. The current package version supports
 binary, ordinal, and continuous data formats.

Package: r-cran-ccweights
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-dplyr, r-cran-magrittr, r-cran-shiny, r-cran-bs4dash, r-cran-fresh, r-cran-dt, r-cran-readxl, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-ccweights_0.1.6-1.ca2004.1_all.deb
Size: 2776184
MD5sum: 3d38162d3c9ec4b52e002dfa20e1ee4b
SHA1: 1de5800b1de6ee01d32f4431d17d4fdcd2bc1944
SHA256: 4780dd11234fe0552b0c6cca3b0f82d1f45e4aeb9e793cfec61fd015621216b4
SHA512: 7b17a857e4e0532b73ab1e234be0af13705650297edc6e1d5cdcd834ce0e34c535f7db589688f37ef496283030f0cb2483521c6de85ac6d8218866609418c088
Homepage: https://cran.r-project.org/package=CCWeights
Description: CRAN Package 'CCWeights' (Perform Weighted Linear Regression for Calibration Curve)
 Automated assessment and selection of weighting factors for accurate
 quantification using linear calibration curve.  In addition, a 'shiny' App
 is provided, allowing users to analyze their data using an interactive
 graphical user interface, without any programming requirements.

Package: r-cran-cd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cd_0.1.0-1.ca2004.1_all.deb
Size: 14344
MD5sum: 766db1f229dd0349c3575ae52fe4b795
SHA1: 10d1131d2969d519e1df5704e811e79feeeb3488
SHA256: 76acda5411d5c58945af5f1d590245a3c7c9ce741a93662b989160ad619a9b13
SHA512: 8650c1af2a69c73b67fa8700c2e37863335ea4b510a92a9a3a7dc0374c9b5aa2278f192c3ca202b4ba67c5d32714857ca6837a859cc3eac7a7932051309a52d4
Homepage: https://cran.r-project.org/package=cd
Description: CRAN Package 'cd' (CD Data for Entity Resolution)
 Duplicated music data (pre-processed and formatted) for entity resolution.
 The total size of the data set is 9763. There are respective gold standard
 records that are labeled and can be considered as a unique identifier.

Package: r-cran-cdata
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1901
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wrapr, r-cran-rquery, r-cran-rqdatatable
Suggests: r-cran-dbi, r-cran-rsqlite, r-cran-knitr, r-cran-rmarkdown, r-cran-yaml, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-cdata_1.2.1-1.ca2004.1_all.deb
Size: 1104212
MD5sum: 62cdf82a5a9427cd59d09e5fa9447a02
SHA1: 58a6fe9c23004cb8623655eff2a60397359afa08
SHA256: 3d55c554210519807216848e1f6c82c22a899ca0d7c114562845ff58ee406859
SHA512: 956f88157d31bc04a22b38b57f6eaa6acb4eee812f6cbade48758905e1d5f3bcd7230ae71b0dd05851cf7bdf80218b64b74202e963e8f0e21baedc7317260b80
Homepage: https://cran.r-project.org/package=cdata
Description: CRAN Package 'cdata' (Fluid Data Transformations)
 Supplies higher-order coordinatized data specification and fluid transform
 operators that include pivot and anti-pivot as special cases.  The
 methodology is describe in 'Zumel', 2018, "Fluid data reshaping with
 'cdata'",
 <https://winvector.github.io/FluidData/FluidDataReshapingWithCdata.html> ,
 <DOI:10.5281/zenodo.1173299> .  This package introduces the idea of explicit
 control table specification of data transforms.  Works on in-memory data or
 on remote data using 'rquery' and 'SQL' database interfaces.

Package: r-cran-cdb
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops
Filename: pool/dists/focal/main/r-cran-cdb_0.0.1-1.ca2004.1_all.deb
Size: 21584
MD5sum: 815ca0acb4d92a73baca394eec38fa2b
SHA1: b27bb43873c6ab2a4a3eae216d09320bc827a29b
SHA256: c7dbcf3da83cf888e1673f197e344b87be78be25e3c9d02e5d2a1b9f472b28e0
SHA512: 7670b7c7e663512074acced1a97dcebfcfacb2e5f567a0a08976c5f7a6d70902a53bb5e5490115ce3a8310846d7bdf2eedc11d01e3d784ea847aa018d851675e
Homepage: https://cran.r-project.org/package=cdb
Description: CRAN Package 'cdb' (Reading and Writing Constant DataBases)
 A constant database is a data structure created by Daniel J. Bernstein in
 his cdb package. Its format consists on a sequence of (key,value)-pairs.
 This R package replicates the basic utilities for reading (cdbget) and
 writing (cdbdump) constant databases.

Package: r-cran-cdcatr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cdmtools, r-cran-gdina, r-cran-ggplot2, r-cran-cowplot, r-cran-foreach, r-cran-dosnow, r-cran-npcd
Suggests: r-cran-cdm
Filename: pool/dists/focal/main/r-cran-cdcatr_1.0.6-1.ca2004.1_all.deb
Size: 278508
MD5sum: 785b630859f61036fe5d721ec7e930e6
SHA1: c3ec1cb30cf44f97df0ac6d56048a838298b7cfc
SHA256: e6186d64c0697d1f2f90cffd1d78f6a65bb017a8c6a5d5ac919359b75f7aadb0
SHA512: 77c57623afdcf6be7b7ca2ca0d0d1a59aa2bd62c9ad34a772ee587580d0d46eb06c03d24b447692ae01cc572fb980656caff9869306653c7f92fa238ed8dfb8a
Homepage: https://cran.r-project.org/package=cdcatR
Description: CRAN Package 'cdcatR' (Cognitive Diagnostic Computerized Adaptive Testing)
 Provides a set of functions for conducting cognitive diagnostic computerized
 adaptive testing applications (Chen, 2009) <DOI:10.1007/s11336-009-9123-2>).
 It includes different item selection rules such us the global discrimination
 index (Kaplan, de la Torre, and Barrada (2015)
 <DOI:10.1177/0146621614554650>) and the nonparametric selection method
 (Chang, Chiu, and Tsai (2019) <DOI:10.1177/0146621618813113>), as well as
 several stopping rules. Functions for generating item banks and responses
 are also provided. To guide item bank calibration, model comparison at the
 item level can be conducted using the two-step likelihood ratio test
 statistic by Sorrel, de la Torre, Abad and Olea (2017)
 <DOI:10.1027/1614-2241/a000131>.

Package: r-cran-cdcfluview
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-progress, r-cran-dplyr, r-cran-jsonlite, r-cran-tibble, r-cran-sf, r-cran-xml2, r-cran-purrr, r-cran-readr, r-cran-mmwrweek, r-cran-units
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cdcfluview_0.9.4-1.ca2004.1_all.deb
Size: 128400
MD5sum: 86b3c11a06f2e8249b3992f5e9969648
SHA1: c31717aed70327b5ff34f749db1509b172de52c9
SHA256: 128c568eb56980e04783671e70645a136808deb1f4590d208f9c6f8dc1d9a470
SHA512: eb78c062aa1effca9537d0ad65635ef5f723a0a4ca7facb5b237daf12297ae6e9a385817bef88ba8096a0add6416d568bef1e950132b88cc1a36848c3550a5b4
Homepage: https://cran.r-project.org/package=cdcfluview
Description: CRAN Package 'cdcfluview' (Retrieve Flu Season Data from the United States Centers forDisease Control and Prevention ('CDC') 'FluView' Portal)
 The 'U.S.' Centers for Disease Control and Prevention (CDC) maintain a
 portal <https://gis.cdc.gov/grasp/fluview/fluportaldashboard.html> for
 accessing state, regional and national influenza statistics as well as
 mortality surveillance data. The web interface makes it difficult and
 time-consuming to select and retrieve influenza data. Tools are provided to
 access the data provided by the portal's underlying 'API'.

Package: r-cran-cdcplaces
Architecture: all
Version: 1.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-yyjsonr, r-cran-tigris, r-cran-sf, r-cran-zctacrosswalk
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cdcplaces_1.1.10-1.ca2004.1_all.deb
Size: 40956
MD5sum: c1703da2df13b7ca7c1a24e5bf4b5379
SHA1: b2f7b5b3a67b71418624390948cd047558b2165d
SHA256: 25a5ada3b56309125d96c03ddc0364b0e0e6faf40dc6640fc56d3784255dfbcc
SHA512: 513a16c42114b51b8366cca187c501fb1af67683e8c7e9eb4dc86f6e4e8c728b73f476d57b3b60e5f2a03edc5654bf372d16962bd314103446b9bc4df35422d9
Homepage: https://cran.r-project.org/package=CDCPLACES
Description: CRAN Package 'CDCPLACES' (Access the 'CDC PLACES' API)
 Allows users to seamlessly query several 'CDC PLACES' APIs
 (<https://data.cdc.gov/browse?q=PLACES%20&sortBy=relevance>) by geography,
 state, measure, and release year. This package also contains a function to
 explore the available measures for each release year.

Package: r-cran-cder
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-glue, r-cran-stringr, r-cran-dplyr, r-cran-readr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cder_0.3-1-1.ca2004.1_all.deb
Size: 69264
MD5sum: 3922e7db6c1447ba798f75c75634b3af
SHA1: b26805fd4da394461a03e481a9c5a7c3c179b5a0
SHA256: 86639d48062d2c9f8eafb2af7702416e45929c316ff8b8b825b33c4017fdd4f9
SHA512: f659f8b90ec8d91464b950b5095038f3b247e8e17c7da695a6ea3463d1064d20611335385fce7d95a32d799384078fbb11fa4976f3ec9f0901188603a08cd6cb
Homepage: https://cran.r-project.org/package=cder
Description: CRAN Package 'cder' (Interface to the California Data Exchange Center (CDEC))
 Connect to the California Data Exchange Center (CDEC) Web Service
 <http://cdec.water.ca.gov/>. 'CDEC' provides a centralized database to
 store, process, and exchange real-time hydrologic information gathered by
 various cooperators throughout California. The 'CDEC' Web Service
 <http://cdec.water.ca.gov/dynamicapp/wsSensorData> provides a data download
 service for accessing historical records.

Package: r-cran-cdfinv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-extradistr
Filename: pool/dists/focal/main/r-cran-cdfinv_0.1.0-1.ca2004.1_all.deb
Size: 68172
MD5sum: e0aba11f89de19d8c18f5d22b3a6a732
SHA1: d17c30aac4d1130a765e6a34efc02c8a8be148f1
SHA256: 4a43159cb10e2e3a0d723c449f7d4dd72ed71346ce88dfc191ddba2cf2382aee
SHA512: 762410643d441e5d316319d1be651b99639afd1f5a2fb754c12aeca0f49ffb46a38a5f4d74295cc6defa86f60c2c8e7a6b1496d6a3e3aa64466ec8230ddde96e
Homepage: https://cran.r-project.org/package=cdfinv
Description: CRAN Package 'cdfinv' (Confidence Interval Estimation via CDF Inversion)
 Estimation of one- and two-sided confidence intervals via the numerical
 inversion of the cumulative distribution function of a statistic's sampling
 distribution. For more details, see section 9.2.3 of Casella and Berger
 (2002) <ISBN:0534243126>.

Package: r-cran-cdfquantreg
Architecture: all
Version: 1.3.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 718
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-formula, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cdfquantreg_1.3.1-2-1.ca2004.1_all.deb
Size: 517748
MD5sum: 21184d0528f5f6acee3948187d485d36
SHA1: 0783be079372495a000e3d8463c7c2df8b208020
SHA256: 1677007b2188205c1f9578dcf0a028c6747af85790b9ef69999ee96620c5ea3b
SHA512: 1e6aef34ae1ee8c0c89024997cc7cc0571add6dc68c7a76252fc0c26682c5906226986dac35b4363ec400421acc65c2ffb9cd911c084772238e0b07fb4721f02
Homepage: https://cran.r-project.org/package=cdfquantreg
Description: CRAN Package 'cdfquantreg' (Quantile Regression for Random Variables on the Unit Interval)
 Employs a two-parameter family of distributions for modelling random
 variables on the (0, 1) interval by applying the cumulative distribution
 function (cdf) of one parent distribution to the quantile function of
 another.

Package: r-cran-cdft
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cdft_1.2-1.ca2004.1_all.deb
Size: 23104
MD5sum: b20c2a23ddf2b03ba4215a968c3389f3
SHA1: 71f2c94a9023abda22288349e6c8939782cbb9b5
SHA256: 6f948f5435ead5b59b703b329fa98174e3ad9c13e738c63d3a801b9367b97f7b
SHA512: f7f10b4b021c13e4cf36942c6d14bfa60e089f1c65b0a691544f9881db958b078258bfc46f20d02160d1092a28d1700d483591b5b08e4f23d1df7897311243e4
Homepage: https://cran.r-project.org/package=CDFt
Description: CRAN Package 'CDFt' (Downscaling and Bias Correction via Non-Parametric CDF-Transform)
 Statistical downscaling and bias correction (model output statistics) method
 based on cumulative distribution functions (CDF) transformation. See
 Michelangeli, Vrac, Loukos (2009) Probabilistic downscaling approaches:
 Application to wind cumulative distribution functions. Geophysical Research
 Letters, 36, L11708, <doi:10.1029/2009GL038401>. ; and Vrac, Drobinski,
 Merlo, Herrmann, Lavaysse, Li, Somot (2012) Dynamical and statistical
 downscaling of the French Mediterranean climate: uncertainty assessment.
 Nat. Hazards Earth Syst. Sci., 12, 2769-2784,
 www.nat-hazards-earth-syst-sci.net/12/2769/2012/,
 <doi:10.5194/nhess-12-2769-2012>.

Package: r-cran-cdgd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret
Suggests: r-cran-gbm, r-cran-nnet, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-cdgd_1.0.0-1.ca2004.1_all.deb
Size: 153476
MD5sum: 6b728717547e9c14d927eb7f7bc4e25e
SHA1: b386af54e3016d22de3c5f0d0a7a9ccdf74667f7
SHA256: 37905bfc387718d1a2100ec844d3e9b9022d0bf101c4203fdb822731d0dd1749
SHA512: e23ef5c56a5518c811f8d1e30737bf43f47e78f5934d3fcd5d98c9c3365b4704ac758a8c15047d9371df860f9c6bda4b9b56fbe8102dd6ddb12afdf1de45a392
Homepage: https://cran.r-project.org/package=cdgd
Description: CRAN Package 'cdgd' (Causal Decomposition of Group Disparities)
 The framework of causal decomposition of group disparities developed by Yu
 and Elwert (2025) <doi:10.1214/24-AOAS1990>.  This package implements the
 decomposition estimators that are based on efficient influence functions.
 For the nuisance functions of the estimators, both parametric and
 nonparametric options are provided, as well as manual options in case the
 default models are not satisfying.

Package: r-cran-cdghmm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-cdghmm_0.1.2-1.ca2004.1_all.deb
Size: 91244
MD5sum: a0098517253fbfcf54579818d299594c
SHA1: 89fbebc3f07750304aec6b2ec8467342563027ac
SHA256: 9358ffe063f6a9972044ebec288f83bdc5b5448d82d8d50e225b3d0a626316cb
SHA512: de7a0e175016fec9121d27de721008d42a0fc10c20ee908c7637235be3a8fd5ffb9c43bc78de38adb7b7805bb24fafff6cc5a2ea09f4c068402aec290c743c26
Homepage: https://cran.r-project.org/package=CDGHMM
Description: CRAN Package 'CDGHMM' (Hidden Markov Models for Multivariate Panel Data)
 Estimates hidden Markov models from the family of Cholesky-decomposed
 Gaussian hidden Markov models (CDGHMM) under various missingness schemes.
 This family improves upon estimation of traditional Gaussian HMMs by
 introducing parsimony, as well as, controlling for dropped out observations
 and non-random missingness. See Neal, Sochaniwsky and McNicholas (2024)
 <DOI:10.1007/s11222-024-10462-0>.

Package: r-cran-cdid
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-purrr, r-cran-mass, r-cran-did, r-cran-bmisc
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-openxlsx, r-cran-data.table, r-cran-jsonlite, r-cran-stargazer, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-cdid_0.1.1-1.ca2004.1_all.deb
Size: 111244
MD5sum: 62221f8e90ef025940fe6ea086dd7836
SHA1: 377f42bd67f0d405d921fe7082b8cbfe908cff60
SHA256: c183e86d7c257ccdf347dbe73cf6c5cc7852ec65ac44e0a74355df74236467f6
SHA512: d3710a2414a180afd4fc30305404ecfea9e577ef2c327d29cc619faca28d2c8a2150129c100c33d43207e886d3a876c5551cad66fa3bc08e4f5ffbd6c58029c6
Homepage: https://cran.r-project.org/package=cdid
Description: CRAN Package 'cdid' (The Chained Difference-in-Differences)
 Extends the 'did' package to improve efficiency and handling of unbalanced
 panel data. Bellego, Benatia, and Dortet-Bernadet (2024), "The Chained
 Difference-in-Differences", Journal of Econometrics,
 <doi:10.1016/j.jeconom.2024.105783>.

Package: r-cran-cdiwg2ws
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cdiwg2ws_0.2.0-1.ca2004.1_all.deb
Size: 66028
MD5sum: be25308f912b90bea3fa6a3148375ba4
SHA1: 784dfff5ac7391837e58c01daf0b751427ab21c8
SHA256: 92f9e1d8471151c994124a49684a56fd91a82a1614b57b0907b397a5146cc3af
SHA512: e8daece9f2ff5aab19143f3782890f7adcbd7336ea2d9a18631ac4df93d2c209a216e4ea9cf9bb58784e1ab7f0245e583194a4dba8d89ad1d28a1353762fa40f
Homepage: https://cran.r-project.org/package=cdiWG2WS
Description: CRAN Package 'cdiWG2WS' (Words and Gestures to Words and Sentences Score Conversion)
 Convert MacArthur-Bates Communicative Development Inventory Words and
 Gestures scores to would-be scores on Words and Sentences, based on modeling
 from the Stanford Wordbank <https://wordbank.stanford.edu/>.  See Day et al.
 (2025) <doi:10.1111/desc.70036>.

Package: r-cran-cdlei
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cdlei_1.0-1.ca2004.1_all.deb
Size: 19036
MD5sum: d7534eeaa5906c98bf97bdcd58175dd2
SHA1: a5a0ef0495bc3bccbe7b1478767c5f7df9fd2a1e
SHA256: 417244d571ceec94b6b32f75580eaae420627e1c4cf421e4dd504531657c8be7
SHA512: 198106c6b6784e0f253543402fad75d0dac9c5479282f00b929be8845425b674022b8894e1972402bdc86287365b30cf21f660336f0ef6db8a91bb8a611e0fa9
Homepage: https://cran.r-project.org/package=cdlei
Description: CRAN Package 'cdlei' (Cause-Deleted Life Expectancy Improvement Procedure)
 The concept of cause-deleted life expectancy improvement is statistic
 designed to quantify the increase in life expectancy if a certain cause of
 death is removed. See Adamic, P. (2015)
 (<https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2689352>).

Package: r-cran-cdmconnector
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2065
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-dbplyr, r-cran-dbi, r-cran-checkmate, r-cran-cli, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-glue, r-cran-withr, r-cran-lifecycle, r-cran-stringr, r-cran-stringi, r-cran-generics, r-cran-tidyr, r-cran-jsonlite, r-cran-readr, r-cran-omopgenerics
Suggests: r-cran-sqlrender, r-cran-circer, r-cran-rjava, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-duckdb, r-cran-rsqlite, r-cran-rpostgres, r-cran-databaseconnector, r-cran-odbc, r-cran-ggplot2, r-cran-bigrquery, r-cran-lubridate, r-cran-clock, r-cran-tibble, r-cran-testthat, r-cran-pool, r-cran-snakecase, r-cran-palmerpenguins
Filename: pool/dists/focal/main/r-cran-cdmconnector_2.1.0-1.ca2004.1_all.deb
Size: 1247548
MD5sum: 10d0c24500143d622f83b6e057501b51
SHA1: bf169c1b1f0f0170964749971e4e33d5733a6d39
SHA256: be75e82a3e59c4107650d49670d4cc93770b481b38d35b6c471a25e3ce2668bd
SHA512: 9b886d02d3af9f758134915080dd69ad4797f511cf77ccfac0a0482c71d70fbf8b7fd185777b1abef7e4213b30ed720778a0054e381d0fbc632df51ad97ba840
Homepage: https://cran.r-project.org/package=CDMConnector
Description: CRAN Package 'CDMConnector' (Connect to an OMOP Common Data Model)
 Provides tools for working with observational health data in the
 Observational Medical Outcomes Partnership (OMOP) Common Data Model format
 with a pipe friendly syntax.  Common data model database table references
 are stored in a single compound object along with metadata.

Package: r-cran-cdmtools
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gdina, r-cran-ggplot2, r-cran-psych, r-cran-sirt, r-cran-gparotation, r-cran-combinat, r-cran-fungible, r-cran-foreach, r-cran-dosnow, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-cdmtools_1.0.6-1.ca2004.1_all.deb
Size: 314936
MD5sum: 4739f79e1f398eea5ecb9150f1aca168
SHA1: 03822506f620f6a19be6b881d7345f88aa0c617c
SHA256: ee8dfb2014bbc8705ab63d4b04b9a551b78b824f1e5f8583a95b006759f7545c
SHA512: 76cabf3346175af5d5cd886fdfaee9c84cd1979a1cdcc5876d5ffb3f6a4768553e8c2ac7ac1ace5a7d7a292fe4a0c3b6a0fe56cf5bbed27e12d8924850206e59
Homepage: https://cran.r-project.org/package=cdmTools
Description: CRAN Package 'cdmTools' (Useful Tools for Cognitive Diagnosis Modeling)
 Provides useful tools for cognitive diagnosis modeling (CDM). The package
 includes functions for empirical Q-matrix estimation and validation, such as
 the Hull method (Nájera, Sorrel, de la Torre, & Abad, 2021,
 <doi:10.1111/bmsp.12228>) and the discrete factor loading method (Wang,
 Song, & Ding, 2018, <doi:10.1007/978-3-319-77249-3_29>). It also contains
 dimensionality assessment procedures for CDM, including parallel analysis
 and automated fit comparison as explored in Nájera, Abad, and Sorrel (2021,
 <doi:10.3389/fpsyg.2021.614470>). Other relevant methods and features for
 CDM applications, such as the restricted DINA model (Nájera et al., 2023;
 <doi:10.3102/10769986231158829>), the general nonparametric classification
 method (Chiu et al., 2018; <doi:10.1007/s11336-017-9595-4>), and corrected
 estimation of the classification accuracy via multiple imputation
 (Kreitchmann et al., 2022; <doi:10.3758/s13428-022-01967-5>) are also
 available. Lastly, the package provides some useful functions for CDM
 simulation studies, such as random Q-matrix generation and detection of
 complete/identified Q-matrices.

Package: r-cran-cdnmoney
Architecture: all
Version: 2012.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tframe, r-cran-tfplot
Filename: pool/dists/focal/main/r-cran-cdnmoney_2012.4-2-1.ca2004.1_all.deb
Size: 402700
MD5sum: f049e689e47f09f38b210312ae535277
SHA1: e2b56c354ddd4c2e56d5b7c2403a002325f71310
SHA256: 5629bbc38c5c39513a5e81c442725b6780b263235f223f0ae2b403830000553b
SHA512: 9b79e46f091ad58e17e8d7a9673517cb3d32808e813941e0fe2cbba3361d6773e25589eda882d021d268a286e0146fa9ff12ede6c9ab6a0c874949df9594ab40
Homepage: https://cran.r-project.org/package=CDNmoney
Description: CRAN Package 'CDNmoney' (Components of Canadian Monetary and Credit Aggregates)
 Components of Canadian Credit Aggregates and Monetary Aggregates with
 continuity adjustments.

Package: r-cran-cdom
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm, r-cran-ggplot2, r-cran-tidyr, r-cran-broom
Suggests: r-cran-eemr
Filename: pool/dists/focal/main/r-cran-cdom_0.1.0-1.ca2004.1_all.deb
Size: 129464
MD5sum: 1dcc251469425fe4ddb25006708032fb
SHA1: bc935e9ad5925fa72e0530ab1ab1020704b129e8
SHA256: d3c5e5bf1bbb5e0888b2d048f155d70d8620ebcbeab26e5d2d6e2945a13e5ae7
SHA512: b85641124a054f0302323b322293ab058cef20549f98aa844a14ea83c40f0d3093e7f31cef03fe633764bba52183721a65c8216a887b4166e82db1b115930aa7
Homepage: https://cran.r-project.org/package=cdom
Description: CRAN Package 'cdom' (R Functions to Model CDOM Spectra)
 Wrapper functions to model and extract various quantitative information from
 absorption spectra of chromophoric dissolved organic matter (CDOM).

Package: r-cran-cdparcoord
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-plotly, r-cran-freqparcoord, r-cran-partools
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cdparcoord_1.0.1-1.ca2004.1_all.deb
Size: 1758000
MD5sum: 8340eb1ab6935e114d355b2f76cb7f23
SHA1: 5c65bca22f00c468b3eebc3c2573cecf88708630
SHA256: b80497b0f4b3d6849040584c2762b0fba40a0010c43e887574ffeceb15511815
SHA512: c1c099a1fe341da2c0edfde3d0d1f9f2bb24ea849750b10b55b7e42bce4dd3085eeeb4e8aa9201c5d5f17ef03b4596885f51e65398681810677163a330ce421b
Homepage: https://cran.r-project.org/package=cdparcoord
Description: CRAN Package 'cdparcoord' (Top Frequency-Based Parallel Coordinates)
 Parallel coordinate plotting with resolutions for large data sets and
 missing values.

Package: r-cran-cdrcr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2228
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-sf, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-purrr, r-cran-rlist, r-cran-rjson, r-cran-tidyr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cdrcr_0.1.1-1.ca2004.1_all.deb
Size: 2214712
MD5sum: 437fd444634aaa1db802f3135411e70c
SHA1: 37c7568fcb5ba8609f9bc71ea3360ca2f3b1c1ae
SHA256: e8d9d44dd01170f26347abfd5a5449f8fa0e933398a0b3fe8384ebc66fbe7cbd
SHA512: 90af13916f322e97767157320ad3e18e98fad770ca3d6dc2191117d0c82d2efa4215ceee42059a775a2c8d22f47dc6d75938f849ce784a9c66c11f65389b651c
Homepage: https://cran.r-project.org/package=cdrcR
Description: CRAN Package 'cdrcR' (Load 'CDRC' Data)
 A wrapper for the 'CDRC' 'API' that returns data frames or 'sf' of 'CDRC'
 data. The 'API' web reference
 is:<https://api.cdrc.ac.uk/swagger/index.html>.

Package: r-cran-cdrom
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 861
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cdrom_1.1-1.ca2004.1_all.deb
Size: 263048
MD5sum: 22c01697de7a9aaef3cedce36da231e5
SHA1: f1fd5591fcc9ea7b4211834ce99fda48fb2bdd5c
SHA256: c9a92195c66fd496a43aeb2972f571d71bb92400b9aa69c91db9d3942426fcd3
SHA512: 7cd6a04dd48d6ca8250c6afa2c5e89894294d9f133851618c381c2e2d29e3ed4ac9acca16cca3fafa6192655678bad5fd69499630ccb0353b55676d7578bb0b5
Homepage: https://cran.r-project.org/package=CDROM
Description: CRAN Package 'CDROM' (Phylogenetically Classifies Retention Mechanisms of DuplicateGenes from Gene Expression Data)
 Classification is based on the recently developed phylogenetic approach by
 Assis and Bachtrog (2013). The method classifies the evolutionary mechanisms
 retaining pairs of duplicate genes (conservation, neofunctionalization,
 subfunctionalization, or specialization) by comparing gene expression
 profiles of duplicate genes in one species to those of their single- copy
 ancestral genes in a sister species.

Package: r-cran-cds
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-limsolve, r-cran-clue, r-cran-colorspace, r-cran-copula
Filename: pool/dists/focal/main/r-cran-cds_1.0.4-1.ca2004.1_all.deb
Size: 168664
MD5sum: bb4e2ca94679cc7e3c31ccf08a14b0c9
SHA1: 65d07c2a1661dead99edfb25e6a768f05765ff7a
SHA256: 72687218f016aac246b330a80807b10e7b5dd7729dbe330cb5a0aab021baca76
SHA512: f7c447a22dd9eec7ef233fda9e2cb75b1c5095b3a3d8f80954a65cac40cd93f8ae2969735397f36c0ecedc5e4df1f8b7e938110af49123e35f3f066b5f708771
Homepage: https://cran.r-project.org/package=cds
Description: CRAN Package 'cds' (Constrained Dual Scaling for Detecting Response Styles)
 This is an implementation of constrained dual scaling for detecting response
 styles in categorical data, including utility functions. The procedure
 involves adding additional columns to the data matrix representing the
 boundaries between the rating categories. The resulting matrix is then
 doubled and analyzed by dual scaling. One-dimensional solutions are sought
 which provide optimal scores for the rating categories. These optimal scores
 are constrained to follow monotone quadratic splines. Clusters are
 introduced within which the response styles can vary. The type of response
 style present in a cluster can be diagnosed from the optimal scores for said
 cluster, and this can be used to construct an imputed version of the data
 set which adjusts for response styles.

Package: r-cran-cdsampling
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lpsolve, r-cran-rglpk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cdsampling_0.1.6-1.ca2004.1_all.deb
Size: 134176
MD5sum: 2a9d32f4ddafbf223b81ad8f84af58c5
SHA1: 1f5818d2eebd87759cb456d209ce81b4d01222c5
SHA256: dc1dc177af069a83b388420920db1ec3b9d17543dd28e22ed06fcd4c5f39e378
SHA512: fce4a83ba398ad8d2b73431505d0a621e8502304cbe5f62aea8460ff5c5cfbc83ceaa7a9eb3c3d190f835ff174e78a4a86895c0934e3dfcbfb97ee2daf75446c
Homepage: https://cran.r-project.org/package=CDsampling
Description: CRAN Package 'CDsampling' (Constrained Sampling in Paid Research Studies)
 In the context of paid research studies and clinical trials, budget
 considerations and patient sampling from available populations are subject
 to inherent constraints. We introduce the 'CDsampling' package, which
 integrates optimal design theories within the framework of constrained
 sampling. This package offers the possibility to find both D-optimal
 approximate and exact allocations for samplings with or without constraints.
 Additionally, it provides functions to find constrained uniform sampling as
 a robust sampling strategy with limited model information. Our package
 offers functions for the computation of the Fisher information matrix under
 generalized linear models (including regular linear regression model) and
 multinomial logistic models.To demonstrate the applications, we also provide
 a simulated dataset and a real dataset embedded in the package. Yifei Huang,
 Liping Tong, and Jie Yang (2025)<doi:10.5705/ss.202022.0414>.

Package: r-cran-cdse
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geojsonsf, r-cran-httr2, r-cran-jsonlite, r-cran-lubridate, r-cran-lutz, r-cran-sf, r-cran-terra
Suggests: r-cran-maps, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cdse_0.2.1-1.ca2004.1_all.deb
Size: 586304
MD5sum: f2f58f79d6d04417fde797d861433796
SHA1: 67651dc8d8eb6a49479572235d8bb55c09176477
SHA256: 36b02301505c72b61931f8881a0e5ef8334469e85f86943cc27ae56b727bef4b
SHA512: 2fdc22904825ebb23193b8b8588bf62a7ed8ef0106a46f8541f4bb24fc27ac76c5d2452cb2a54df82a4e2ff2a3a108536038860a797a8acdfa20655e2435dd6c
Homepage: https://cran.r-project.org/package=CDSE
Description: CRAN Package 'CDSE' ('Copernicus Data Space Ecosystem' API Wrapper)
 Provides interface to the 'Copernicus Data Space Ecosystem' API
 <https://dataspace.copernicus.eu/analyse/apis>, mainly for searching the
 catalog of available data from Copernicus Sentinel missions and obtaining
 the images for just the area of interest based on selected spectral bands.
 The package uses the 'Sentinel Hub' REST API interface
 <https://dataspace.copernicus.eu/analyse/apis/sentinel-hub> that provides
 access to various satellite imagery archives. It allows you to access raw
 satellite data, rendered images, statistical analysis, and other features.
 This package is in no way officially related to or endorsed by Copernicus.

Package: r-cran-cdss
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readods, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-cdss_0.3-0-1.ca2004.1_all.deb
Size: 138700
MD5sum: 42188c98ad8a292b3c50d7b42a7a2270
SHA1: b146504a4fd9353c2006cccccfe2fdcda26cdced
SHA256: 4ab94cc13f568986a59b7e3465bee990543063f992288a487d9ed96b5b4a8380
SHA512: 833aeefe659ab21c9e7fa2dcf8d89e27daa8b2d03ea906d02d3ce3d85f0a9c9d5288697c5442c852716d1f2f9ad63c5859bb90b1e2855bc0c1c16c96fd3fbf6e
Homepage: https://cran.r-project.org/package=CDSS
Description: CRAN Package 'CDSS' (Course-Dependent Skill Structures)
 Deriving skill structures from skill assignment data for courses (sets of
 learning objects).

Package: r-cran-cdvi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cdvi_0.1.0-1.ca2004.1_all.deb
Size: 11684
MD5sum: c6ab4b9f7879992d3e4ee12950b5382c
SHA1: 2a78b62c0250d73bff7c8cc203866cbf750fd1d8
SHA256: 3b39bb90314366f198e3fa1e0f1fbc46b0b58fd5504c7787c03f22e4aa5c07d8
SHA512: f47aa7db2fcc92bb6efc1029fc8668b8faf2e517f226e220c1989e44d453682c30220c3662b07f0432b70a679e6fbc66ed2466b7882175ac3cef961f8398663b
Homepage: https://cran.r-project.org/package=CDVI
Description: CRAN Package 'CDVI' (Cuddy-Della Valle Index for Capturing the Instability in TimeSeries Data)
 Cuddy-Della valle index gives the degree of instability present in the data
 by accommodating the effect of a trend. The adjusted R squared value of the
 best fitted model is chosen. The index is obtained by multiplying the
 coefficient of variation with square root of one minus the adjusted
 R-squared value. This package has been developed using concept of Shankar et
 al. (2022)<doi:10.3389/fsufs.2023.1208898>.

Package: r-cran-cdvinecopulaconditional
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-vinecopula
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cdvinecopulaconditional_0.1.1-1.ca2004.1_all.deb
Size: 135028
MD5sum: 01235f94ebcd1c414ca0d0f2df2c43f0
SHA1: 4aa559e2c5ff6cf881431f81d47e8a515adb6742
SHA256: 179272cd413620801a8bee44f21c12d67528b0d747bd12c4a901f6301c71d1a7
SHA512: 9a0cba891c70823124f2b9a4a2205a2a584ef6bc725ffaf743bdb5ec74dce42ccf3cf1f33926eb75bb37846183f045cd16bfa68810b5947d8bb8cfd256e7cac1
Homepage: https://cran.r-project.org/package=CDVineCopulaConditional
Description: CRAN Package 'CDVineCopulaConditional' (Sampling from Conditional C- and D-Vine Copulas)
 Provides tools for sampling from a conditional copula density decomposed via
 Pair-Copula Constructions as C- or D- vine. Here, the vines which can be
 used for such a sampling are those which sample as first the conditioning
 variables (when following the sampling algorithms shown in Aas et al. (2009)
 <DOI:10.1016/j.insmatheco.2007.02.001>).  The used sampling algorithm is
 presented and discussed in Bevacqua et al. (2017)
 <DOI:10.5194/hess-2016-652>, and it is a modified version of that from Aas
 et al. (2009) <DOI:10.1016/j.insmatheco.2007.02.001>. A function is
 available to select the best vine (based on information criteria) among
 those which allow for such a conditional sampling.  The package includes a
 function to compare scatterplot matrices and pair-dependencies of two
 multivariate datasets.

Package: r-cran-ceas
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3954
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-lme4, r-cran-readxl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ceas_1.3.0-1.ca2004.1_all.deb
Size: 2582480
MD5sum: 982f4f9927903c01c9a98feea95e320d
SHA1: 18f61edb3e79e319a8901c34f246e649e18c8348
SHA256: 9338ff37e4763483cc53bb25ef8238710aa803ed98ac5b593ab59303004c2f80
SHA512: 07633271cce65bf688420a8a87bc6c1d45534e42fd6bdc66f562a00ea623f5c36e956103caaee427b6bd374ce3293b742664565fc1df3ce1b87203ee1f0056b5
Homepage: https://cran.r-project.org/package=ceas
Description: CRAN Package 'ceas' (Cellular Energetics Analysis Software)
 Measuring cellular energetics is essential to understanding a matrix’s (e.g.
 cell, tissue or biofluid) metabolic state. The Agilent Seahorse machine is a
 common method to measure real-time cellular energetics, but existing
 analysis tools are highly manual or lack functionality. The Cellular
 Energetics Analysis Software (ceas) R package fills this analytical gap by
 providing modular and automated Seahorse data analysis and visualization
 using the methods described by Mookerjee et al.  (2017)
 <doi:10.1074/jbc.m116.774471>.

Package: r-cran-ceda
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3331
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-limma, r-cran-mixtools, r-cran-ggplot2, r-cran-dplyr, r-cran-ggsci, r-cran-ggridges, r-cran-ggprism
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ceda_1.1.1-1.ca2004.1_all.deb
Size: 3297360
MD5sum: 848983217f72ed40e9babad9d1db99ac
SHA1: 931813f7bffa97e3b6693fc16f47daa2865d1356
SHA256: 850b56d8d0ece0b45b5336531f7f888a8d1790b1ea5ad3185dbbe5e1f170afb2
SHA512: 1c7a96a34478114af3b234fffe46200f7149bc551195130accf4513e099cefc8981b1881f92e06c3362ae1e8c1693520d77efd7c35e626e40aea174d5dd4aece
Homepage: https://cran.r-project.org/package=CEDA
Description: CRAN Package 'CEDA' (CRISPR Screen and Gene Expression Differential Analysis)
 Provides analytical methods for analyzing CRISPR screen data at different
 levels of gene expression. Multi-component normal mixture models and EM
 algorithms are used for modeling.

Package: r-cran-cedars
Architecture: all
Version: 1.90-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastmatch, r-cran-jsonlite, r-cran-mongolite, r-cran-readr, r-cran-shiny, r-cran-udpipe
Filename: pool/dists/focal/main/r-cran-cedars_1.90-1.ca2004.1_all.deb
Size: 295816
MD5sum: fc1bcb49b4c838039a3708ff55cf6036
SHA1: 3dbc607be0d98bb9d63e55d8d89fd89f04001f9a
SHA256: 4c1fe2245dc304feebd2652fc0edb0c763d7d6c147bde8c0af837f20a1c7580c
SHA512: 19adbfc9e85cf727eb982805f99de6f8a29c1f205712002deb542a82174ea63876437ad6ceb23a372c8b7954883e9ce53f1a4c88668b02bac1233119a2a64e26
Homepage: https://cran.r-project.org/package=CEDARS
Description: CRAN Package 'CEDARS' (Simple and Efficient Pipeline for Electronic Health RecordAnnotation)
 Streamlined annotation pipeline for collection and aggregation of
 time-to-event data in retrospective clinical studies. 'CEDARS' aims to
 systematize and accelerate the review of electronic health record (EHR)
 corpora. It accomplishes those goals by deploying natural language
 processing as a tool to assist detection and characterization of clinical
 events by human abstractors. The online user manual presents the necessary
 steps to install 'CEDARS', process EHR corpora and obtain clinical event
 dates: <https://cedars.io>.

Package: r-cran-ceemdanml
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlibeemd, r-cran-tseries, r-cran-forecast, r-cran-fgarch, r-cran-atsa, r-cran-fints, r-cran-lsts, r-cran-earth, r-cran-caret, r-cran-neuralnet, r-cran-e1071, r-cran-pso
Filename: pool/dists/focal/main/r-cran-ceemdanml_0.1.0-1.ca2004.1_all.deb
Size: 50212
MD5sum: a76e7c827e79ea9293c7f44b9ab08c20
SHA1: 6aba0ae47573783bc218a2068766f78f4005f409
SHA256: 21eeaee97824d59ad3a6e58e7b0c70ef7891d4190defd16b5fdd9d1bfb0d0233
SHA512: 05e9653503bbf38988630c367802a8b0dcd3f3e2885f85d4f243d50a005a74eef10d2e28697a9097184309e7f787728364dd6608a665533285ddd1f168a1eca6
Homepage: https://cran.r-project.org/package=CEEMDANML
Description: CRAN Package 'CEEMDANML' (CEEMDAN Decomposition Based Hybrid Machine Learning Models)
 Noise in the time-series data significantly affects the accuracy of the
 Machine Learning (ML) models (Artificial Neural Network and Support Vector
 Regression are considered here). Complete Ensemble Empirical Mode
 Decomposition with Adaptive Noise (CEEMDAN) decomposes the time series data
 into sub-series and help to improve the model performance. The models can
 achieve higher prediction accuracy than the traditional ML models. Two
 models have been provided here for time series forecasting. More information
 may be obtained from Garai and Paul (2023) <doi:10.1016/j.iswa.2023.200202>.

Package: r-cran-ceg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-bioc-rgraphviz
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ceg_0.1.0-1.ca2004.1_all.deb
Size: 244576
MD5sum: 57765847aa33f9d87fcb659929dcdcca
SHA1: d600e50f476ae7e624578744b821f485bf907976
SHA256: 2fc748bf7eedc10e46260cd65cb58f3d44853ea33b26cf263005335b980c1d6a
SHA512: 1571125955d753e8d17ce5bbe415e0672549bd0e32ca9ef18e0129c481aa2a1ff1c93d3a842ff989107abfcdf4550b774e75e3aa210d954def21b8ff162fa230
Homepage: https://cran.r-project.org/package=ceg
Description: CRAN Package 'ceg' (Chain Event Graph)
 Create and learn Chain Event Graph (CEG) models using a Bayesian framework.
 It provides us with a Hierarchical Agglomerative algorithm to search the CEG
 model space.  The package also includes several facilities for
 visualisations of the objects associated with a CEG. The CEG class can
 represent a range of relational data types, and supports arbitrary vertex,
 edge and graph attributes. A Chain Event Graph is a tree-based graphical
 model that provides a powerful graphical interface through which domain
 experts can easily translate a process into sequences of observed events
 using plain language. CEGs have been a useful class of graphical model
 especially to capture context-specific conditional independences.
 References: Collazo R, Gorgen C, Smith J. Chain Event Graph. CRC Press, ISBN
 9781498729604, 2018 (forthcoming); and Barday LM, Collazo RA, Smith JQ,
 Thwaites PA, Nicholson AE.  The Dynamic Chain Event Graph. Electronic
 Journal of Statistics, 9 (2) 2130-2169 <doi:10.1214/15-EJS1068>.

Package: r-cran-celestial
Architecture: all
Version: 1.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-cran-nistunits, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-celestial_1.4.6-1.ca2004.1_all.deb
Size: 359832
MD5sum: 0fe57267351771144fb526fd22be34ba
SHA1: eae3321521001ab49a9c5354e83cf768f36eed10
SHA256: 91b69b0f1b55cdac7eff15bedc3f59d076d265a06209832ffa9e28ec6fa3477e
SHA512: 91ba724fd3ac74e84d8658ee10f32bfa39cc90fb44651e50e5298452da372e23f8358e8987f50b72bb3b6eb203c13f325ca7eb6b037824e7ff60bde11032278d
Homepage: https://cran.r-project.org/package=celestial
Description: CRAN Package 'celestial' (Collection of Common Astronomical Conversion Routines andFunctions)
 Contains a number of common astronomy conversion routines, particularly the
 HMS and degrees schemes, which can be fiddly to convert between on mass due
 to the textural nature of the former. It allows users to coordinate match
 datasets quickly. It also contains functions for various cosmological
 calculations.

Package: r-cran-cellkey
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5008
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sdchierarchies, r-cran-data.table, r-cran-rlang, r-cran-digest, r-cran-sdctable, r-cran-ptable, r-cran-cli, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cellkey_1.0.2-1.ca2004.1_all.deb
Size: 4962060
MD5sum: 2eaff404d8eec49db8c6c03fc14a3a2c
SHA1: 406043f787444f198ed924dac0d08c6e54bac0ed
SHA256: a5e963a0d73d4f50b4d732c8cce62114133a10bd498bca70f4a535dcd76e6ec0
SHA512: 196c883ea949b827991dde549dc5b79cd929038b6da0ccddd6cde853bcc880f2dada8e5ed3d33b0e9477cdd6505a66cf75226366f91581ab7e2967e7ef1e331d
Homepage: https://cran.r-project.org/package=cellKey
Description: CRAN Package 'cellKey' (Consistent Perturbation of Statistical Frequency- And MagnitudeTables)
 Data from statistical agencies and other institutions often need to be
 protected before they can be published. This package can be used to perturb
 statistical tables in a consistent way. The main idea is to add - at the
 micro data level - a record key for each unit. Based on these keys, for any
 cell in a statistical table a cell key is computed as a function on the
 record keys contributing to a specific cell. Values that are added to the
 cell in order to perturb it are derived from a lookup-table that maps values
 of cell keys to specific perturbation values. The theoretical basis for the
 methods implemented can be found in Thompson, Broadfoot and Elazar (2013)
 <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2013/Topic_1_ABS.pdf>
 which was extended and enhanced by Giessing and Tent (2019)
 <https://unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.46/2019/mtg1/SDC2019_S2_Germany_Giessing_Tent_AD.pdf>.

Package: r-cran-cellorigins
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 768
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iterpc
Filename: pool/dists/focal/main/r-cran-cellorigins_0.1.3-1.ca2004.1_all.deb
Size: 316644
MD5sum: a27dcfc092d6269d1048df780d98e1b4
SHA1: 5a1e8d1a08a2b2185c34b823b47f476d8e59c8cf
SHA256: 3997ab2a89116f23e8aa666b28d264e8e1ceb4326a07bed5d03b2ccdc7335fd5
SHA512: 2f398dfca87fb2ee1b0481bd7f915b3156959d42c0991567dabfb544fe53746ff596dfa0b940c4a8755910ff3680e7c4536f34df2ce162a55ba1509b4ceecb8e
Homepage: https://cran.r-project.org/package=cellOrigins
Description: CRAN Package 'cellOrigins' (Finds RNASeq Source Tissues Using In Situ Hybridisation Data)
 Finds the most likely originating tissue(s) and developmental stage(s) of
 tissue-specific RNA sequencing data. The package identifies both pure
 transcriptomes and mixtures of transcriptomes. The most likely identity is
 found through comparisons of the sequencing data with high-throughput in
 situ hybridisation patterns. Typical uses are the identification of cancer
 cell origins, validation of cell culture strain identities, validation of
 single-cell transcriptomes, and validation of identity and purity of
 flow-sorting and dissection sequencing products.

Package: r-cran-cellpypes
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1228
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-scutils, r-cran-ggplot2, r-cran-matrix, r-cran-rlang, r-cran-viridis, r-cran-cowplot, r-cran-dplyr, r-cran-scales, r-cran-scattermore
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-seurat, r-bioc-deseq2, r-cran-rcppannoy, r-cran-tibble, r-cran-seuratobject
Filename: pool/dists/focal/main/r-cran-cellpypes_0.3.0-1.ca2004.1_all.deb
Size: 1069484
MD5sum: 7ae1774088cfd7574cbccec9428114d0
SHA1: 96214c428f4d7a6882acec97d82d694dfbd581b1
SHA256: 46d9bff191e5ba9337628a63b2794baf8956fa7913f0e7f4a6e011848dc068d9
SHA512: 22543cfcfc5bc53564704d92aa7455631943ec67f214309a9a8da3ae1e7081d5aa635ee9000aa956b33b8781c0562dbe87a0e5477230035844780e79a65eaa9d
Homepage: https://cran.r-project.org/package=cellpypes
Description: CRAN Package 'cellpypes' (Cell Type Pipes for Single-Cell RNA Sequencing Data)
 Annotate single-cell RNA sequencing data manually based on marker gene
 thresholds.  Find cell type rules (gene+threshold) through exploration, use
 the popular piping operator '%>%' to reconstruct complex cell type
 hierarchies.  'cellpypes' models technical noise to find positive and
 negative cells for a given expression threshold and returns cell type labels
 or pseudobulks.  Cite this package as Frauhammer (2022)
 <doi:10.5281/zenodo.6555728> and visit
 <https://github.com/FelixTheStudent/cellpypes> for tutorials and newest
 features.

Package: r-cran-cellranger
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rematch, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cellranger_1.1.0-1.ca2004.1_all.deb
Size: 100236
MD5sum: f74be7760b0aa63da8f4d637bf6c03e2
SHA1: 3a71e93c6997cca21be2ff378bae631592628810
SHA256: d36a6977688ae4927572ec1e3ce9a1ba66465aad8a3ae8e0b4fbf8c22bf9b261
SHA512: c77ff8155cf17a94f65bbc9118a46e7d3ea57826bb5c82b1eaa07ce00e98ac8c717470d95332e38a8abbd3ef0d8ef664207575c94fcb1cf19925255eeb53974c
Homepage: https://cran.r-project.org/package=cellranger
Description: CRAN Package 'cellranger' (Translate Spreadsheet Cell Ranges to Rows and Columns)
 Helper functions to work with spreadsheets and the "A1:D10" style of cell
 range specification.

Package: r-cran-celltrackr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4987
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ellipse, r-cran-pracma
Suggests: r-cran-scatterplot3d, r-cran-fractaldim, r-cran-testthat, r-cran-wordspace, r-cran-knitr, r-cran-rmarkdown, r-cran-rspectra, r-cran-uwot, r-cran-dendextend, r-cran-ggplot2, r-cran-ggbeeswarm, r-cran-gridextra, r-cran-mvtnorm, r-cran-jsonlite, r-cran-httr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-celltrackr_1.2.1-1.ca2004.1_all.deb
Size: 3410416
MD5sum: abda6667d1925601997f5b1cec9b38f0
SHA1: 138a5dd29be721dca9b2f96738a46f3e7a1d1ccc
SHA256: 7ddb65d304be6937ef8694b78662525e5d27bb6bbbe5072b1b8a91a6d53f8360
SHA512: 1d8f9071dad07d71ee2cd7d507f796cba41477c917da9e77b830476e797c88bf97d03ff8f81c6236aa092be3bf97e74ca34112a982e853596f39c569afdb6726
Homepage: https://cran.r-project.org/package=celltrackR
Description: CRAN Package 'celltrackR' (Motion Trajectory Analysis)
 Methods for analyzing (cell) motion in two or three dimensions.  Available
 measures include displacement, confinement ratio, autocorrelation,
 straightness, turning angle, and fractal dimension. Measures can be applied
 to entire tracks, steps, or subtracks with varying length. While the
 methodology has been developed for cell trajectory analysis, it is
 applicable to anything that moves including animals, people, or vehicles.
 Some of the methodology implemented in this packages was described by:
 Beauchemin, Dixit, and Perelson (2007) <doi:10.4049/jimmunol.178.9.5505>,
 Beltman, Maree, and de Boer (2009) <doi:10.1038/nri2638>, Gneiting and
 Schlather (2004) <doi:10.1137/S0036144501394387>, Mokhtari, Mech, Zitzmann,
 Hasenberg, Gunzer, and Figge (2013) <doi:10.1371/journal.pone.0080808>,
 Moreau, Lemaitre, Terriac, Azar, Piel, Lennon-Dumenil, and Bousso (2012)
 <doi:10.1016/j.immuni.2012.05.014>, Textor, Peixoto, Henrickson, Sinn, von
 Andrian, and Westermann (2011) <doi:10.1073/pnas.1102288108>, Textor, Sinn,
 and de Boer (2013) <doi:10.1186/1471-2105-14-S6-S10>, Textor, Henrickson,
 Mandl, von Andrian, Westermann, de Boer, and Beltman (2014)
 <doi:10.1371/journal.pcbi.1003752>.

Package: r-cran-cellularautomata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gganimate, r-cran-ggplot2, r-cran-patchwork, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cellularautomata_0.1.0-1.ca2004.1_all.deb
Size: 210584
MD5sum: dacc4dda4948dbf904007f6e6b0a5b7a
SHA1: 807de621963e819ee5a784a9fb5d0fc07d46e5a2
SHA256: 37ed1ded9a442a44dd23526c55286027e3fe30f6150115203f5e02b41c78ac1c
SHA512: 49f7d7f928fa5f479148083cbe650d297f4395aa8ad012118cf94e2caa1f51ac5c10142be0489c77664ae60edb16e08da3d3e42f1fc8ead989cd3394a1f5d5ad
Homepage: https://cran.r-project.org/package=cellularautomata
Description: CRAN Package 'cellularautomata' (Cellular Automata)
 Create cellular automata from 'Wolfram' rules. Allows the creation of
 'Wolfram' style plots, as well as of animations. Easy to create multiple
 plots, for example the output of a rule with different initial states, or
 the output of many different rules from the same state. The output of a
 cellular automaton is given as a matrix, making it easy to try to explore
 the possibility of predicting its time evolution using various statistical
 tools available in R.  Wolfram S. (2002, ISBN:1579550088) "A New Kind of
 Science".

Package: r-cran-cellvolumedist
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-cellvolumedist_1.4-1.ca2004.1_all.deb
Size: 51984
MD5sum: ab3a16348e661b646a457b74ea638ecc
SHA1: 8b78a0805f50090c3cf3b59fb183504feef7864d
SHA256: be49f244b063df6582c3a7b0a95d8f7035e3c01bf59110eb51f7db1ad57bc4fc
SHA512: 96a4825954705047ba10862b7eef81e729b385f8330f8601c2fe370d8fdbf0d6fcde88dcaf1840553eab40ec017b0305a4811f00493a08b44bfc2319f61fee5e
Homepage: https://cran.r-project.org/package=cellVolumeDist
Description: CRAN Package 'cellVolumeDist' (Functions to Fit Cell Volume Distributions and Thereby EstimateCell Growth Rates and Division Times)
 Implements a methodology for using cell volume distributions to estimate
 cell growth rates and division times that is described in the paper
 entitled, "Cell Volume Distributions Reveal Cell Growth Rates and Division
 Times", by Michael Halter, John T. Elliott, Joseph B. Hubbard, Alessandro
 Tona and Anne L. Plant, which is in press in the Journal of Theoretical
 Biology.  In order to reproduce the analysis used to obtain Table 1 in the
 paper, execute the command "example(fitVolDist)".

Package: r-cran-cem
Architecture: all
Version: 1.1.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-matchit, r-cran-combinat, r-cran-randomforest, r-cran-nlme
Suggests: r-cran-amelia
Filename: pool/dists/focal/main/r-cran-cem_1.1.31-1.ca2004.1_all.deb
Size: 678020
MD5sum: 436b16f8b18ea39ac4be2c62d09c180b
SHA1: be99a230130289ef4b4ce8f6a257767fd10ad4ad
SHA256: 3aee63bb1ce886ff105c9271d9d60747c80254deafd8314a5fdf01e4668aa54e
SHA512: 9cb7e0fa96585828c59a8b93852eaec91663368fcac8ea1e5958ab94e583d1f6ce8894dad52e06f0003b640b2387151ba6c5706e6eadb7e7d1e117cf8bec3478
Homepage: https://cran.r-project.org/package=cem
Description: CRAN Package 'cem' (Coarsened Exact Matching)
 Implementation of the Coarsened Exact Matching algorithm discussed along
 with its properties in Iacus, King, Porro (2011)
 <DOI:10.1198/jasa.2011.tm09599>; Iacus, King, Porro (2012)
 <DOI:10.1093/pan/mpr013> and Iacus, King, Porro (2019)
 <DOI:10.1017/pan.2018.29>.

Package: r-cran-cemco
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-nnet, r-cran-rootsolve, r-cran-foreach, r-cran-mass, r-cran-mclust, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-cemco_0.2-1.ca2004.1_all.deb
Size: 50824
MD5sum: 5bfb919b3cfd0bbb560c0a4edeb9513b
SHA1: 23fce744d96316d3247c1fbabbaa2b4efde18269
SHA256: cc4184aab5d1ca22e8201897a3103094a8f7a95a35da02155824714e7506a9f4
SHA512: 41c1bb1696b694ad43e530d07ac0f1c57281485743c87b9d7a1e78f1efe322e5852c9e612528d550ddce257294b601af523bc549a3a78e7c049de9539b07dee9
Homepage: https://cran.r-project.org/package=cemco
Description: CRAN Package 'cemco' (Fit 'CemCO' Algorithm)
 'CemCO' algorithm, a model-based (Gaussian) clustering algorithm that
 removes/minimizes the effects of undesirable covariates during the
 clustering process both in cluster centroids and in cluster covariance
 structures (Relvas C. & Fujita A., (2020) <arXiv:2004.02333>).

Package: r-cran-cenbar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-mass, r-cran-mvtnorm, r-cran-glmnet, r-cran-survival, r-cran-cvtools
Filename: pool/dists/focal/main/r-cran-cenbar_0.1.1-1.ca2004.1_all.deb
Size: 43228
MD5sum: 0c8f10f8f10687b1ce9a99f55aeacdeb
SHA1: 69e889c7572e19d07138173cc75d2005f94574e9
SHA256: 7db09ec858520132636278765d8afb184e54ee036d985eb489ae55e71930f1cb
SHA512: c0782dab82f79d87cffee88cb5213c485d3349a955120f9f2cc1891496499b0c992c24f585fc1863d7575ccb88f729be80c00114da610f9ca210b4a9e7bb1609
Homepage: https://cran.r-project.org/package=CenBAR
Description: CRAN Package 'CenBAR' (Broken Adaptive Ridge AFT Model with Censored Data)
 Broken adaptive ridge estimator for censored data is used to select
 variables and estimate their coefficients in the semi-parametric accelerated
 failure time model for right-censored survival data.

Package: r-cran-cencrne
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2077
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cencrne_1.0.0-1.ca2004.1_all.deb
Size: 2060288
MD5sum: a94acd32c9adfb751a7726b00e3d9c6d
SHA1: a4bcf956c82f4cb494387d6b1589b76644cb2493
SHA256: 271120f43ad28ffde30827f9984a717ec26912ef12023516a32f84546722924a
SHA512: e7e5a58fe6c59cb0f501d386ea30b1e15577f2589e4020489b49a2ff11a91fbc2fed2f65bd6595f90ef7ec6728fb60db4a065edcc4592b7d8b1c7aa0b9c437ba
Homepage: https://cran.r-project.org/package=cencrne
Description: CRAN Package 'cencrne' (Consistent Estimation of the Number of Communities viaRegularized Network Embedding)
 The network analysis plays an important role in numerous application domains
 including biomedicine.  Estimation of the number of communities is a
 fundamental and critical issue in network analysis. Most existing studies
 assume that the number of communities is known a priori, or lack of rigorous
 theoretical guarantee on the estimation consistency. This method proposes a
 regularized network embedding model to simultaneously estimate the community
 structure and the number of communities in a unified formulation.  The
 proposed model equips network embedding with a novel composite
 regularization term, which pushes the embedding vector towards its center
 and collapses similar community centers with each other. A rigorous
 theoretical analysis is conducted, establishing asymptotic consistency in
 terms of community detection and estimation of the number of communities.
 Reference: Ren, M., Zhang S. and Wang J. (2022). "Consistent Estimation of
 the Number of Communities via Regularized Network Embedding". Biometrics,
 <doi:10.1111/biom.13815>.

Package: r-cran-cengam
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-cengam_0.5.4-1.ca2004.1_all.deb
Size: 276928
MD5sum: 5f42ab9d68d45a6aa2c28b413c95a02b
SHA1: d217dad345c4a5c37abb3c5bf8590e17c8c6bf66
SHA256: e2505b1cce312d86ce570d589627521c83bb3a54f347cf08ed54ee9bb4aa3327
SHA512: 6329819299046aeeabb697680b5c87acf3996ffc8bc3008692bf15aeb3c3d420f9480504044c2096ca3a53b8bdac284fd4fc6b746f5ef8200879dca8ce21cca7
Homepage: https://cran.r-project.org/package=cenGAM
Description: CRAN Package 'cenGAM' (Censored Regression with Smooth Terms)
 Implementation of Tobit type I and type II families for censored regression
 using the 'mgcv' package, based on methods detailed in Woods (2016)
 <doi:10.1080/01621459.2016.1180986>.

Package: r-cran-censable
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-sf, r-cran-tibble, r-cran-stringr, r-cran-memoise, r-cran-purrr, r-cran-censusapi, r-cran-tinytiger
Suggests: r-cran-roxygen2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censable_0.0.5-1.ca2004.1_all.deb
Size: 465832
MD5sum: 3a04673c35b12faca4a8324aeecc77e3
SHA1: c2d70b88ac6c41e875189766024b1ae91690d9b1
SHA256: a2a415d2903de02cfd23225567061acf6665d6fa9895fac91a0b9618ece51637
SHA512: e35985c78d7c4ce29ad3a4824810250bc3cb6062e130b022eb7e4bd0dea795b2cadaa4812c8ba6a0f12fe729269edf3a543e8ef5f53893b12cfb7ed6192eefe7
Homepage: https://cran.r-project.org/package=censable
Description: CRAN Package 'censable' (Making Census Data More Usable)
 Creates a common framework for organizing, naming, and gathering population,
 age, race, and ethnicity data from the Census Bureau. Accesses the API
 <https://www.census.gov/data/developers/data-sets.html>. Provides tools for
 adding information to existing data to line up with Census data.

Package: r-cran-censcov
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-censcov_1.0-0-1.ca2004.1_all.deb
Size: 49724
MD5sum: 8e39454bcc48436ac39cc1aa7cc05a2a
SHA1: cedab29d70430bad83a9058a4af3bd7b94227e68
SHA256: 2e9e900f396104c77d4e2899ceb247ccd24fa072b2cbd7f277bdba18265f0ec3
SHA512: e15756bc2d0fd6e49cce06f0178e0920cfcdcfb30d12fca4978faac7bdb3b55ddbbd3abf5b637bb92a0e9d12fa9b16aff465cec0ab05669722a0658b566f0cdc
Homepage: https://cran.r-project.org/package=censCov
Description: CRAN Package 'censCov' (Linear Regression with a Randomly Censored Covariate)
 Implementations of threshold regression approaches for linear regression
 models with a covariate subject to random censoring, including deletion
 threshold regression and completion threshold regression.  Reverse survival
 regression, which flip the role of response variable and the covariate, is
 also considered.

Package: r-cran-censmfm
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-momtrunc, r-cran-mvtnorm, r-cran-gridextra, r-cran-ggplot2, r-cran-tlrmvnmvt
Suggests: r-cran-mixsmsn
Filename: pool/dists/focal/main/r-cran-censmfm_3.1-1.ca2004.1_all.deb
Size: 155196
MD5sum: 13745b04611d3e385d29716647595da8
SHA1: 4b8cd5dfe57a3e73f853b21921e6b1cce4af2b40
SHA256: bae563043bec20e20c63352adecb8e80c57dcb9369485f00096fd2d4fbf4f75d
SHA512: 1259607c682cc3449d157c0d1be803dc05b816c46f059d2bff1b2f5f08ea604813a84591f095aa6bb030ad7cd531ccfd469a84db841be7c9b6ee5a5d7ea24e4f
Homepage: https://cran.r-project.org/package=CensMFM
Description: CRAN Package 'CensMFM' (Finite Mixture of Multivariate Censored/Missing Data)
 It fits finite mixture models for censored or/and missing data using several
 multivariate distributions. Point estimation and asymptotic inference (via
 empirical information matrix) are offered as well as censored data
 generation. Pairwise scatter and contour plots can be generated. Possible
 multivariate distributions are the well-known normal, Student-t and
 skew-normal distributions. This package is an complement of Lachos, V. H.,
 Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017)
 <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.

Package: r-cran-censo2017
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-httr, r-cran-tibble, r-cran-purrr, r-cran-cli, r-cran-crayon, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-dplyr, r-cran-dbplyr, r-cran-ggplot2, r-cran-chilemapas
Filename: pool/dists/focal/main/r-cran-censo2017_0.6.2-1.ca2004.1_all.deb
Size: 59856
MD5sum: 1b1f6639ea4c01f37beb25e2bcf1da17
SHA1: 3679987c84ae3f63feb2fa4920d079efbcad8d85
SHA256: ab526d7388624782905bda66fd11f05814868ac2e1c15f64e600eced9f39e054
SHA512: 3b8bc7daaf9a6f719c17bd524a2ccaec279d3432a91d9bdf4d948a46b5e40603570a356e8bc16b6ee3d3ba8dd6014d86673c2da8abc49505f85021637885f328
Homepage: https://cran.r-project.org/package=censo2017
Description: CRAN Package 'censo2017' (Base de Datos de Facil Acceso del Censo 2017 de Chile (2017Chilean Census Easy Access Database))
 Provee un acceso conveniente a mas de 17 millones de registros de la base de
 datos del Censo 2017. Los datos fueron importados desde el DVD oficial del
 INE usando el Convertidor REDATAM creado por Pablo De Grande. Esta paquete
 esta documentado intencionalmente en castellano asciificado para que
 funcione sin problema en diferentes plataformas.  (Provides convenient
 access to more than 17 million records from the Chilean Census 2017
 database. The datasets were imported from the official DVD provided by the
 Chilean National Bureau of Statistics by using the REDATAM converter created
 by Pablo De Grande and in addition it includes the maps accompanying these
 datasets.)

Package: r-cran-censobr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-checkmate, r-cran-curl, r-cran-dplyr, r-cran-duckdb, r-cran-fs, r-cran-glue
Suggests: r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-geobr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-knitr, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censobr_0.4.1-1.ca2004.1_all.deb
Size: 301584
MD5sum: a8951b8f33f670cad0d233f37ca85f1f
SHA1: ea54b05eed162a36350360ea69107e65c0cebfd5
SHA256: a31f4a525aabb3ea22b194061d37fb8468cf7c8d561127624a512cb8cfb36ab6
SHA512: bf4451e38d134dca5d3aa3524393415e71a9586b69d0bb851246c4a50c5a1f675fc9da1815ffabfc09948f28a57ed0771a9cedc0a0e87972b8da215308c4add7
Homepage: https://cran.r-project.org/package=censobr
Description: CRAN Package 'censobr' (Download Data from Brazil's Population Census)
 Easy access to data from Brazil's population censuses. The package provides
 a simple and efficient way to download and read the data sets and the
 documentation of all the population censuses taken in and after 1960 in the
 country. The package is built on top of the 'Arrow' platform
 <https://arrow.apache.org/docs/r/>, which allows users to work with
 larger-than-memory census data using 'dplyr' familiar functions.
 <https://arrow.apache.org/docs/r/articles/arrow.html#analyzing-arrow-data-with-dplyr>.

Package: r-cran-censorcopula
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula
Filename: pool/dists/focal/main/r-cran-censorcopula_2.0-1.ca2004.1_all.deb
Size: 22332
MD5sum: c552687cbf8f453f29eee5e610660f49
SHA1: 547a6841882c401b1a45d05ba47c97753c39845c
SHA256: dd1d0ea47ccfd5c021dcc9d3316a1cf20bb56c02119d3417b876f9cea6655e7a
SHA512: a5aaae9e5d07ab3f8bf3618a8d5b76f956d52bb05781f6d37964fdbe9610db7caf7f1e455e5cd93072c28bb30c8e057e49bac5eda0166496f2cb48d0aa98a080
Homepage: https://cran.r-project.org/package=censorcopula
Description: CRAN Package 'censorcopula' (Estimate Parameter of Bivariate Copula)
 Implement an interval censor method to break ties when using data with ties
 to fitting a bivariate copula.

Package: r-cran-censored
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-parsnip, r-cran-survival, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-generics, r-cran-glue, r-cran-hardhat, r-cran-lifecycle, r-cran-mboost, r-cran-prodlim, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-aorsf, r-cran-coin, r-cran-covr, r-cran-flexsurv, r-cran-glmnet, r-cran-ipred, r-cran-partykit, r-cran-pec, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censored_0.3.3-1.ca2004.1_all.deb
Size: 217936
MD5sum: 459901fe1062a3bb2408aa7537751fb2
SHA1: a64dc172c0e2a38f684a122e057562238c9d2704
SHA256: 881d983501b6b2b5e26ebca217ca94f63f710307d24663b655589900dfa19f45
SHA512: b6fde0d3e37bd3f3168a1eb45a388c6812a013b3ea7e654f236367082857f15ad071df9e22f881d0ea223c69d53baf770fc935a42a934dd7233de2cb48d52cf1
Homepage: https://cran.r-project.org/package=censored
Description: CRAN Package 'censored' ('parsnip' Engines for Survival Models)
 Engines for survival models from the 'parsnip' package. These include
 parametric models (e.g., Jackson (2016) <doi:10.18637/jss.v070.i08>),
 semi-parametric (e.g., Simon et al (2011) <doi:10.18637/jss.v039.i05>), and
 tree-based models (e.g., Buehlmann and Hothorn (2007)
 <doi:10.1214/07-STS242>).

Package: r-cran-censoredaids
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-mnormt, r-cran-mvtnorm, r-cran-matrixcalc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censoredaids_1.0.0-1.ca2004.1_all.deb
Size: 441952
MD5sum: ae84941aacabff28ce63ed8cd34a9592
SHA1: e26d12335131d1492939aef093919eb7dbada921
SHA256: 85587776ba8477f83874947ddbc3a84d33093c85e4c6be5de193fba6b3609e0b
SHA512: e4f8a79e1a72bb6ac661bdfdeb1b8c182038ddab50dde3cd95ac8ff177b54095a0d7baa540a373bd870ce2f8f344622c6ed1793ad7e966edf6160d0ae9e7b2dc
Homepage: https://cran.r-project.org/package=censoredAIDS
Description: CRAN Package 'censoredAIDS' (Estimation of Censored AI/QUAI Demand System via MaximumLikelihood Estimation (MLE))
 Tools for estimating censored Almost Ideal (AI) and Quadratic Almost Ideal
 (QUAI) demand systems using Maximum Likelihood Estimation (MLE). It includes
 functions for calculating demand share equations and the truncated
 log-likelihood function for a system of equations, incorporating demographic
 variables. The package is designed to handle censored data, where some
 observations may be zero due to non-purchase of certain goods. Package also
 contains a procedure to approximate demand elasticities numerically and
 estimate standard errors via Delta Method. It is particularly useful for
 applied researchers analyzing household consumption data.

Package: r-cran-censreg
Architecture: all
Version: 0.5-38-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maxlik, r-cran-glmmml, r-cran-sandwich, r-cran-misctools, r-cran-plm
Suggests: r-cran-aer, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-censreg_0.5-38-1.ca2004.1_all.deb
Size: 208840
MD5sum: 8218960a83f41bc3d9bc0a67f6ffe527
SHA1: 380078e1ec6938b5ad8dcdfea1f558516513808f
SHA256: cfffad72b9c37fc2ded2856cde77c4340cd8acb852fba0f4c7e782f558a05fd0
SHA512: 758b1f30bd48633d19fc822d69d0d0f1767b0936e6caa6d82b99c2050e54d65df90635eec3744e62b05dbeb7a7cdfd6b62b3a78437192a458dd795f27f2a590b
Homepage: https://cran.r-project.org/package=censReg
Description: CRAN Package 'censReg' (Censored Regression (Tobit) Models)
 Maximum Likelihood estimation of censored regression (Tobit) models with
 cross-sectional and panel data.

Package: r-cran-censregmod
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-censregmod_1.0-1.ca2004.1_all.deb
Size: 59224
MD5sum: 2370cdf2c34d4c6372f64b14a3c35dea
SHA1: c3b17a5c512d0bb1e3d449d74ed45f0a3af065b4
SHA256: 365cf51d004b598d7e3ca3528d7e815d850a2550343fc19991c7658cfa60e07b
SHA512: 35f03a1bf0940f7a1214996b2975c12b9738403f9874b503cbaaae1660973188d5192ccdfeaa2ea80c4b66e88a5834e4230ea458cf35b201f4e13e758943183f
Homepage: https://cran.r-project.org/package=CensRegMod
Description: CRAN Package 'CensRegMod' (Fits Normal and Student-t Censored Regression Model)
 Fits univariate censored linear regression model under Normal or Student-t
 distribution

Package: r-cran-censspatial
Architecture: all
Version: 3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geor, r-cran-rcpp, r-cran-mvtnorm, r-cran-optimx, r-cran-tmvtnorm, r-cran-msm, r-cran-psych, r-cran-numderiv, r-cran-raster, r-cran-moments, r-cran-lattice, r-cran-tlrmvnmvt
Filename: pool/dists/focal/main/r-cran-censspatial_3.6-1.ca2004.1_all.deb
Size: 226340
MD5sum: 5ca534c5442b95fc221cf2b735c62ad3
SHA1: 96f29a9c4725cb1ca69b2791e1e44ed35068a6a0
SHA256: 31a840bc5b6ff7e1afeb2119eb752dcf9ea04125fd03231fe883c2d2f1763e45
SHA512: a447eb611f3310a62a9c055e66c16cf72b164867be01ea52d2dff165087ba36c478f0c2b96f7ec58f165477c5aef8047091a58011371fc279eb1421cbcf164b9
Homepage: https://cran.r-project.org/package=CensSpatial
Description: CRAN Package 'CensSpatial' (Censored Spatial Models)
 It fits linear regression models for censored spatial data. It provides
 different estimation methods as the SAEM (Stochastic Approximation of
 Expectation Maximization) algorithm and seminaive that uses Kriging
 prediction to estimate the response at censored locations and predict new
 values at unknown locations. It also offers graphical tools for assessing
 the fitted model. More details can be found in Ordonez et al. (2018)
 <doi:10.1016/j.spasta.2017.12.001>.

Package: r-cran-census2016
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3576
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-scales, r-cran-testthat, r-cran-png
Filename: pool/dists/focal/main/r-cran-census2016_0.2.0-1.ca2004.1_all.deb
Size: 3433324
MD5sum: f259b9c0f37a2a4e8d913044043b1ca3
SHA1: 19fb03a062d94facad2b23568698bbfdc0526bd7
SHA256: c8acfdbfffe7400ec0a00b44677d798fe4e6e9311419af4ca29bd7032e33b710
SHA512: aeec47ab688c83ab4f9476541b13ceb634bfcf72942f0634e0475c01368874d92e4ffbbe17f5fbe4a130e875e459ee957244c0f20980faf5fbcea67b8aac54e7
Homepage: https://cran.r-project.org/package=Census2016
Description: CRAN Package 'Census2016' (Data from the Australian Census 2016)
 Contains selected variables from the time series profiles for statistical
 areas level 2 from the 2006, 2011, and 2016 censuses of population and
 housing, Australia. Also provides methods for viewing the questions asked
 for convenience during analysis.

Package: r-cran-censusapi
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-censusapi_0.9.0-1.ca2004.1_all.deb
Size: 63704
MD5sum: 02baede97ae216ab5e83bcc82f8cf923
SHA1: 472399a75d068d5205fa5cfe3c90fd9abb74ab08
SHA256: fb29829982f5d815a707ae81d07c03b5cb0a337dcb588fab2a38ee969cac7301
SHA512: ac7b792e464a6af2cc8bcbdc099d263e5333734065e9be70549705824d22f5a0cbdb8dbb76656310501cc596473a240bb474b3cc5c6b99c707516da2f0cd6004
Homepage: https://cran.r-project.org/package=censusapi
Description: CRAN Package 'censusapi' (Retrieve Data from the Census APIs)
 A wrapper for the U.S. Census Bureau APIs that returns data frames of Census
 data and metadata. Available datasets include the Decennial Census, American
 Community Survey, Small Area Health Insurance Estimates, Small Area Income
 and Poverty Estimates, Population Estimates and Projections, and more.

Package: r-cran-censusgeography
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-qdaptools
Filename: pool/dists/focal/main/r-cran-censusgeography_0.1.0-1.ca2004.1_all.deb
Size: 38300
MD5sum: c0c5edb129bc79a1d081f44d2e0f3d8c
SHA1: 94be9c3d2491df565f59fa1e639d16058963f346
SHA256: 0b8e5d869b420162041b7ab25da835918712ab5a0924c04d0cbe0469215048f1
SHA512: 2a0de04179ff5eb06912bdd8a7125cd633f75ec903789111419661664b2204578d50e6ac560ba18a79b72c453975e2e962ffe07538cae0572e3d5384574dadcc
Homepage: https://cran.r-project.org/package=censusGeography
Description: CRAN Package 'censusGeography' (Changes United States Census Geographic Code into Name ofLocation)
 Converts the United States Census geographic code for city, state (FIP and
 ICP), region, and birthplace, into the name of the region. e.g. takes an
 input of Census city code 5330 to it's actual city, Philadelphia. Will
 return NA for code that doesn't correspond to real location.

Package: r-cran-censusr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-censusr_0.0.4-1.ca2004.1_all.deb
Size: 40848
MD5sum: 4892e774a1657a91b97301cb6b2fcb86
SHA1: 785d6a3a68e3b965d750765f1ea0e89c15286e31
SHA256: 70246b92e8c24ef2ee195cd4ae89f7e3b69868ebe14d535bf4457d3f70dff7db
SHA512: 9d7607306bc7eed577d5c8213352055aa1d50baee33e73cce9a83cf671b7d8c92782a390e1d342c61e7bfd19d81241df343411857fa0a028b90bb0028b0950d9
Homepage: https://cran.r-project.org/package=censusr
Description: CRAN Package 'censusr' (Collect Data from the Census API)
 Use the US Census API to collect summary data tables for SF1 and ACS
 datasets at arbitrary geographies.

Package: r-cran-censusxy
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1194
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-httr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censusxy_1.1.1-1.ca2004.1_all.deb
Size: 990200
MD5sum: 6ecbe96212aa00047afa274dd52f587e
SHA1: 20e1e490e4c4ae6f025ab871a81a01b904629a7c
SHA256: 4d399e64be95fc622fa8baac506591bb140ebb86166e43b8bb16e8c60a4d3394
SHA512: b573aa5e62fb8034dce7bd82e5ba782bba3a37090aea58a3eaef375b0cbb8a1fcaf927df087b3517f03495238c338ddc176002a384dd271bb78c780f4939540c
Homepage: https://cran.r-project.org/package=censusxy
Description: CRAN Package 'censusxy' (Access the U.S. Census Bureau's Geocoding API System)
 Provides access to the U.S. Census Bureau's API for matching American street
 addresses with their longitude and latitude. This includes both single
 address matching as well as batch functionality for multiple addresses.
 Census geographies can be appended to addresses if desired, and reverse
 geocoding of point locations to census geographies is also supported.

Package: r-cran-censys
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringi, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-censys_0.1.0-1.ca2004.1_all.deb
Size: 58652
MD5sum: 9f1427ddb1a72aaf4f1237797d553872
SHA1: e2b705c77cc2d3905ce4be74b37ae446a2ba009f
SHA256: 75302b3d92d267cf0c14401182cb8e2b7c472a38a08e7cadc8609b2e1f75bfd3
SHA512: 78a88bcb8f6775f89415a1373500b732ad0d1d334b37a1508eae83e751a392c1b19a4372bdfb8c8d544b0d8f89a287d6c6dad4d39309910b9df1655d997125f5
Homepage: https://cran.r-project.org/package=censys
Description: CRAN Package 'censys' (Tools to Query the 'Censys' API)
 The 'Censys' public search engine enables researchers to quickly ask
 questions about the hosts and networks that compose the Internet. Details on
 how 'Censys' was designed and how it is operated are available at
 <https://www.censys.io/about>.  Both basic and extended research access
 queries are made available. More information on the SQL dialect used by the
 'Censys' engine can be found at
 <https://cloud.google.com/bigquery/docs/reference/legacy-sql>.

Package: r-cran-centerline
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2879
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-wk, r-cran-sf, r-cran-geos, r-cran-sfnetworks, r-cran-checkmate
Suggests: r-cran-smoothr, r-cran-testthat, r-cran-geomtextpath, r-cran-terra, r-cran-igraph, r-cran-ggplot2, r-cran-raybevel
Filename: pool/dists/focal/main/r-cran-centerline_0.2.2-1.ca2004.1_all.deb
Size: 2213260
MD5sum: 040ec5845b5267b74c53dc935ae6a43e
SHA1: fd10a3edf2c1d8100d1bad44d0416373aef9744e
SHA256: 048136be8ca22c54a6d8636ad96393ea017b466de12aec0adb13931cc479e24c
SHA512: 437b91008126ec78ff7dd9eaa3a5b1d64bfce46d3626059dfa548ab2d6294315e375b306106858a9a7e4d8df66d7bd260a8566bf39ad99e5b0664f68a6144e1f
Homepage: https://cran.r-project.org/package=centerline
Description: CRAN Package 'centerline' (Extract Centerline from Closed Polygons)
 Generates skeletons of closed 2D polygons using Voronoi diagrams.  It
 provides methods for 'sf', 'terra', and 'geos' objects to compute polygon
 centerlines based on the generated skeletons.  Voronoi, G. (1908)
 <doi:10.1515/crll.1908.134.198>.

Package: r-cran-centiserve
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-matrix
Suggests: r-cran-expm, r-cran-linkcomm
Filename: pool/dists/focal/main/r-cran-centiserve_1.0.0-1.ca2004.1_all.deb
Size: 176140
MD5sum: d96ad904c7a20d322618283002739e45
SHA1: a78938184925a96961fd1ce2811f6f177da8275c
SHA256: 7c7bcd59756c59a49742a6f65a2bdfd1643cfbccb3c0b96975840069616b584f
SHA512: bf125aa5d9a615897d4dd5d05970c75471e88654fbb91df0898570b0968751c41735659c03a0f282e77caae92c9abaeb8fc667b35b0fa970710d981ead3a92b2
Homepage: https://cran.r-project.org/package=centiserve
Description: CRAN Package 'centiserve' (Find Graph Centrality Indices)
 Calculates centrality indices additional to the 'igraph' package centrality
 functions.

Package: r-cran-centr
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-dplyr, r-cran-sf, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-centr_0.2.4-1.ca2004.1_all.deb
Size: 88576
MD5sum: 4eea0b2c1263d34ba43807f6df5775a0
SHA1: bb4e69f91e5c955f497e9b46e669a44c3ad484d1
SHA256: b5c13fb1e1210293afa6cfef52b7027a053e315b3687806fb165e0fc86112c59
SHA512: e16074d081684c28e2e48082ec6439b269f16ecd5e8a4c5e54f38b6c0ef9773ee47bf574167aefae095f2d57b6b940e12ffa5d0026b2034ab15073f186c59414
Homepage: https://cran.r-project.org/package=centr
Description: CRAN Package 'centr' (Weighted and Unweighted Spatial Centers)
 Generate mean and median weighted or unweighted spatial centers.  Functions
 are analogous to their identically named counterparts within 'ArcGIS Pro'.
 Median center methodology based off of Kuhn and Kuenne (1962)
 <doi:10.1111/j.1467-9787.1962.tb00902.x>.

Package: r-cran-centralplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-centralplot_0.1.0-1.ca2004.1_all.deb
Size: 16280
MD5sum: 28d8c13781aab2825410fe61f21ac49d
SHA1: 0f240e39530a07c277d500b31acd66cb6eaaae99
SHA256: e0ecf5769cc42be12ae82292a84be24db5e241375642edd90715ba3bf877c61c
SHA512: 113e271d85c3e87ccaf1e28571eb1ca75c87adc2f93d2723c8030e9a718be863fad81fc0c0bae8b1ef22e42310dbaa141cf4e7a21add408e8a6e33c8ef21fbc0
Homepage: https://cran.r-project.org/package=centralplot
Description: CRAN Package 'centralplot' (Show the Strength of Relationships Between Centre and PeripheralItems)
 The degree of correlation between centre and peripheral items are shown by
 the length of the line between them. You can self-define the length by
 inputing the "distance" parameter. For example, you can input (1 - Pearson's
 correlation coefficient) as "distance" so that the stronger the correlation
 between centre and peripheral item, the nearer they will be in this plot.
 Also, If you do a hypothesis test and the null hypothesis is centre and
 peripheral items are the same, you can input -log(P) as distance. To sum up,
 the stronger the correlation between centre and peripheral is, the smaller
 the "distance" parameter should be. Due to its high degree of freedom, it
 can be applied to many different circumstance.

Package: r-cran-centrifuger
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma, r-cran-shiny, r-cran-shinythemes
Filename: pool/dists/focal/main/r-cran-centrifuger_0.1.7-1.ca2004.1_all.deb
Size: 98224
MD5sum: b1f6454be0cfdd2b3cfd313fb0c97e29
SHA1: 477b1aa0eeb573f2666cee773bd67f424be31346
SHA256: 6461bef683aed01267f0351cab77fada4488ef0fe6643f864d8b708e41ccb35f
SHA512: 099d891171c10f2446000f1373dd7d4431d0b85b9de8e3b81290bb4b8ceabfae4bc14c1abc128c3a61cc40a54413a8ef0fbad7f6bc3f3353f677fcef7401e665
Homepage: https://cran.r-project.org/package=centrifugeR
Description: CRAN Package 'centrifugeR' (Non-Trivial Balance of Centrifuge Rotors)
 Find the numbers of test tubes that can be balanced in centrifuge rotors and
 show various ways to load them. Refer to Pham (2020)
 <doi:10.31224/osf.io/4xs38> for more information on package functionality.

Package: r-cran-ceodata
Architecture: all
Version: 1.3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-haven, r-cran-dplyr, r-cran-urltools, r-cran-stringr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-r.rsp, r-cran-ggplot2, r-cran-tidyr, r-cran-curl, r-cran-rmarkdown, r-cran-vtable, r-cran-comparegroups
Filename: pool/dists/focal/main/r-cran-ceodata_1.3.1.1-1.ca2004.1_all.deb
Size: 269280
MD5sum: ab8d359ad747063cdb0092ec097016b6
SHA1: 8fbc1e7a2d0bcde89452e581ddc1bf51d2784ea1
SHA256: f31d59b95785a56742c60cc3fe52536e0a758d47bbc45a9bf2a9ce2fff7f4573
SHA512: 80582fcd3c5ae9c2bfce61fdad967606d2ef5c29bad016bcd2324726930c16fcf4098711267d2a610fa61460dc731d615950e955a2c627deda4dc33728d4aa52
Homepage: https://cran.r-project.org/package=CEOdata
Description: CRAN Package 'CEOdata' (Datasets of the CEO (Centre d'Estudis d'Opinio) for OpinionPolls in Catalonia)
 Easy and convenient access to the datasets of the "Centre d'Estudis
 d'Opinio", the Catalan institution for polling and public opinion. The
 package uses the data stored in the servers of the CEO and returns it in a
 tidy format.

Package: r-cran-ceoptim
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-msm, r-cran-sna
Filename: pool/dists/focal/main/r-cran-ceoptim_1.3-1.ca2004.1_all.deb
Size: 59728
MD5sum: d28c6daadf41141859b887a9f059804b
SHA1: 28b3551c3d1b475efdbb012d968bf1117dc689f0
SHA256: d0846fefe48eb08eb5d860ded88e7f2933c585864a4405d8d1141c210e85b28a
SHA512: fc03e72cf36c2e21e7c02cb2c4e4f27d64b15a8d790a7381c4f6a919b94ed3adf0a46ff5171cf832c0b7a8526272600a5650b98e92d13e1239bbb8c54447c72f
Homepage: https://cran.r-project.org/package=CEoptim
Description: CRAN Package 'CEoptim' (Cross-Entropy R Package for Optimization)
 Optimization solver based on the Cross-Entropy method.

Package: r-cran-cepa
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-bioc-rgraphviz, r-bioc-graph
Filename: pool/dists/focal/main/r-cran-cepa_0.8.1-1.ca2004.1_all.deb
Size: 3106448
MD5sum: 6dd2cf52120cd7cac35d190767f5055c
SHA1: b0f2430f30bf45effb95293fdb73f26733e22f6d
SHA256: b7041f61dc97a0908e2130487776ac53d0a43331c97da3008f2758f3795d5c30
SHA512: fbc5680aa6878960a6fce8427d9b2ff945fe4aef482f2775bb8529fdcf44fc959e202b63609e94947f212ba0a9a2c2f0da774e99f9868cac6ce330fc457fadcc
Homepage: https://cran.r-project.org/package=CePa
Description: CRAN Package 'CePa' (Centrality-Based Pathway Enrichment)
 It aims to find significant pathways through network topology information.
 It has several advantages compared with current pathway enrichment tools.
 First, pathway node instead of single gene is taken as the basic unit when
 analysing networks to meet the fact that genes must be constructed into
 complexes to hold normal functions. Second, multiple network centrality
 measures are applied simultaneously to measure importance of nodes from
 different aspects to make a full view on the biological system. CePa extends
 standard pathway enrichment methods, which include both over-representation
 analysis procedure and gene-set analysis procedure.
 <doi:10.1093/bioinformatics/btt008>.

Package: r-cran-cepiigeodist
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1036
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-gravity
Filename: pool/dists/focal/main/r-cran-cepiigeodist_0.1-1.ca2004.1_all.deb
Size: 999244
MD5sum: 97320341c0802d84e09a6063f9d37ac2
SHA1: 579cbcf67e8cfcf5be46723d6e06b2d187eebee2
SHA256: a2af91d63598c3d1e56ba0396ead203545b8e1d451e7c8e136872ff51f6f5f87
SHA512: 0acaa53d9a69b9844730003e6f2f0c1bbfe5ccd387891b3543a92edfae2433065be78035b13199219ffc2404e7318e79a38f33f38b39eea68a1d6682b33e3de1
Homepage: https://cran.r-project.org/package=cepiigeodist
Description: CRAN Package 'cepiigeodist' (CEPII's GeoDist Datasets)
 Provides data on countries and their main city or agglomeration and the
 different distance measures and dummy variables indicating whether two
 countries are contiguous, share a common language or a colonial
 relationship. The reference article for these datasets is Mayer and Zignago
 (2011)
 <http://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=3877>.

Package: r-cran-ceplda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-astsa, r-cran-mass, r-cran-class, r-cran-multitaper
Filename: pool/dists/focal/main/r-cran-ceplda_1.0.0-1.ca2004.1_all.deb
Size: 49712
MD5sum: f8f75aac5a65b5cf630f492b356ba88c
SHA1: 0f57d1a2335bc96ba81af07695db533faba27fe2
SHA256: e8f7a0f3c8f875e6d54cc1dc66ecf4179ee8efc8bd7de8f483945f7df276c59e
SHA512: eee038d4161aed5471a1ac6152f8ae6d08004adfdaceb3e8ba09e9492d1612843412a6452fd5076448b2e51252f4f266c3e18e485bfcbfeeec3b9f99d84311c7
Homepage: https://cran.r-project.org/package=CepLDA
Description: CRAN Package 'CepLDA' (Discriminant Analysis of Time Series in the Presence ofWithin-Group Spectral Variability)
 Performs cepstral based discriminant analysis of groups of time series when
 there exists Variability in power spectra from time series within the same
 group as described in R.T. Krafty (2016) "Discriminant Analysis of Time
 Series in the Presence of Within-Group Spectral Variability" Journal of Time
 Series Analysis.

Package: r-cran-cepp
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-trust, r-cran-randtoolbox
Filename: pool/dists/focal/main/r-cran-cepp_1.7-1.ca2004.1_all.deb
Size: 443848
MD5sum: 2277c281f8b7cb697e88eadaba1b8c46
SHA1: 8d4f31cb044c8f8c1f1b00d5e1bcd785793257b1
SHA256: 13969eb98329040e018adbf4e135fc96f58a1fbb8b79a7c1dc7001ff20ad77e4
SHA512: 322a8b4ec1ea769192ac1d32d377ad71f034689c782a3f84d48ee99921c136b8f770f42a7ea6afa7ce0bb745b66a3683c9cf05ea96fb34ee02c6035d5d83d475
Homepage: https://cran.r-project.org/package=cepp
Description: CRAN Package 'cepp' (Context Driven Exploratory Projection Pursuit)
 Functions and Data to support Context Driven Exploratory Projection Pursuit.

Package: r-cran-cepr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-cepr_0.1.2-1.ca2004.1_all.deb
Size: 23060
MD5sum: b61a3e33d18125dda5ea1b0b99399cf3
SHA1: d7f63896268998eb221970218b1371335bc9d815
SHA256: 5dfe3cb5b9d6c409aec6ccebb4b4a34b34ef2a91997c66a11d60ff91db0607fc
SHA512: 2a44e94464f848f37d7329718c606229f3c6b53c3851c6b246886e489464ede7da946ce0dde91422b0307ddc327da6a83cbfaf7f346271d034fe5ac72d65bed4
Homepage: https://cran.r-project.org/package=cepR
Description: CRAN Package 'cepR' (Busca CEPs Brasileiros)
 Retorna detalhes de dados de CEPs brasileiros, bairros, logradouros e tal.
 (Returns info of Brazilian postal codes, city names, addresses and so on.)

Package: r-cran-cepumd
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cepumd_2.1.0-1.ca2004.1_all.deb
Size: 162256
MD5sum: c458a41e0d5dc42c8b43be5f5405f416
SHA1: fa8c868d1dc629785692fe7c6e4f0b9e22424b91
SHA256: a19b94fef02526b9729d565dacdfa68fac7be9cf0ec51710e7dd950990fa1332
SHA512: 1f28c0ec31423783db8371b7d5f9483ec571d70611a0b6f5c23ca32d97c60a8a3101a91190fdf92e47f9fabb2db27257930588b624f7cab4c1646bb412ab97e7
Homepage: https://cran.r-project.org/package=cepumd
Description: CRAN Package 'cepumd' (Calculate Consumer Expenditure Survey (CE) Annual Estimates)
 Provides functions and data files to help CE Public-Use Microdata (PUMD)
 users calculate annual estimated expenditure means, standard errors, and
 quantiles according to the methods used by the CE with PUMD. For more
 information on the CE please visit <https://www.bls.gov/cex>.  For further
 reading on CE estimate calculations please see the CE Calculation section of
 the U.S. Bureau of Labor Statistics (BLS) Handbook of Methods at
 <https://www.bls.gov/opub/hom/cex/calculation.htm>. For further information
 about CE PUMD please visit <https://www.bls.gov/cex/pumd.htm>.

Package: r-cran-ceramic
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4166
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-purrr, r-cran-rappdirs, r-cran-rlang, r-cran-sp, r-cran-slippymath, r-cran-tibble, r-cran-crsmeta, r-cran-vapour, r-cran-stringr, r-cran-wk
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ceramic_0.9.5-1.ca2004.1_all.deb
Size: 4216728
MD5sum: 9bc68ed11adf7b1023c142fa7a2dacaa
SHA1: 9e7ba9607ec676426b8e6be7d78c2a65891de84b
SHA256: afcbb9ce932ebeac8a832af35fdb097c2485581f63968f92fbe8427614ee8a87
SHA512: 0b921843b1d36d71cf8bc7ec236a02638e230d3bcc589017ccba8f5dcf15e3efa955f65f70cc4afd44e2ace431cb85c910174ce9ecaa5aff14d9d6586e94c05b
Homepage: https://cran.r-project.org/package=ceramic
Description: CRAN Package 'ceramic' (Download Online Imagery Tiles)
 Download imagery tiles to a standard cache and load the data into raster
 objects.  Facilities for 'AWS' terrain
 <https://registry.opendata.aws/terrain-tiles/> terrain and 'Mapbox'
 <https://www.mapbox.com/> servers are provided.

Package: r-cran-cercospora
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3497
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-sf, r-cran-terra, r-cran-minpack.lm, r-cran-circular
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-remotes, r-cran-spelling, r-cran-geosphere, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cercospora_0.0.2-1.ca2004.1_all.deb
Size: 2192004
MD5sum: 363314d5b3546bba4cbaf1c9b540b9b9
SHA1: a9168929a7e094a7ec8429bf363ff95f09ce3a98
SHA256: 77ee064358162cced5e0b657ac11fea2ef5b7d4f946987296779d0203f999c27
SHA512: 7b7b4f272418aa17d724a68d8ce92f5c662272853ee08ab3bc5bf2f7a10c662d68fd8a498ebd0031224abd7120aaf64d986d52bbcef6ce5458761706035874ec
Homepage: https://cran.r-project.org/package=cercospoRa
Description: CRAN Package 'cercospoRa' (Process Based Epidemiological Model for Cercospora Leaf Spot ofSugar Beet)
 Estimates sugar beet canopy closure with remotely sensed leaf area index and
 estimates when action might be needed to protect the crop from a Leaf Spot
 epidemic with a negative prognosis model based on published models.

Package: r-cran-cereal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-rlang, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cereal_0.1.0-1.ca2004.1_all.deb
Size: 46248
MD5sum: 6082056b8099353e0f57a4bbcb969b81
SHA1: 2684874ba88ba528884bb149a7f801062525de4f
SHA256: 8e5bd25b923850f6f4656d6cf4ce52267976e879354fffb7e5326592f93759bc
SHA512: 8a1e4fee1a6687e402ea9201e46a62b4604e198740af907577b0ec7e9df70defb409a9f47e5344f79e74a4df8feccd95dd992303417ca1ccaafebbbc2a90620f
Homepage: https://cran.r-project.org/package=cereal
Description: CRAN Package 'cereal' (Serialize 'vctrs' Objects to 'JSON')
 The 'vctrs' package provides a concept of vector prototype that can be
 especially useful when deploying models and code.  Serialize these object
 prototypes to 'JSON' so they can be used to check and coerce data in
 production systems, and deserialize 'JSON' back to the correct object
 prototypes.

Package: r-cran-ceriolioutlierdetection
Architecture: all
Version: 1.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-robustbase
Suggests: r-cran-rrcov, r-cran-mvtnorm, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-ceriolioutlierdetection_1.1.15-1.ca2004.1_all.deb
Size: 63128
MD5sum: c703f3a9133d9c7b36d6d96acc9cf36e
SHA1: 8340c5597fc0e1067f82fcad04629ae1f8925acb
SHA256: 5e92f7e5da4c5af5fff60d86a8eaa07181afe3b9163c18a1525f29622d223bb3
SHA512: 57c96274bf553dc5e1de43d6b974be6a2293917d595a1cd5b053e36669a523fd3663c4ed653e3539065c0d94200c3ba463a6ef920dfc69c12ad7b205431bbae4
Homepage: https://cran.r-project.org/package=CerioliOutlierDetection
Description: CRAN Package 'CerioliOutlierDetection' (Outlier Detection Using the Iterated RMCD Method of Cerioli(2010))
 Implements the iterated RMCD method of Cerioli (2010) for multivariate
 outlier detection via robust Mahalanobis distances. Also provides the
 finite-sample RMCD method discussed in the paper, as well as the methods
 provided in Hardin and Rocke (2005) <doi:10.1198/106186005X77685> and Green
 and Martin (2017)
 <https://christopherggreen.github.io/papers/hr05_extension.pdf>.  See also
 Chapter 2 of Green (2017)
 <https://digital.lib.washington.edu/researchworks/handle/1773/40304>.

Package: r-cran-cernaseek
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cernaseek_2.1.3-1.ca2004.1_all.deb
Size: 547968
MD5sum: dcf65422d079f6f627ad88e5cb9bc11a
SHA1: 9ba5dfcb4fd1db96d6e43c482b5dc9f8a7fcdf2b
SHA256: 7aed238a143fbbdb55bd0957c6f448c935068c056b2d2fe598f88a26e7c5baca
SHA512: c9f21cb3f896700d25353a1ebbdda1b1196bc35f053051aa029fdb66acc149bb8a9c7504f183e4e2a486a9acbfae920f46405723def58f37ed2a8e0f3c95b0f7
Homepage: https://cran.r-project.org/package=CeRNASeek
Description: CRAN Package 'CeRNASeek' (Identification and Analysis of ceRNA Regulation)
 Provides several functions to identify and analyse miRNA sponge, including
 popular methods for identifying miRNA sponge interactions, two types of
 global ceRNA regulation prediction methods and four types of
 context-specific prediction methods( Li Y et al.(2017)
 <doi:10.1093/bib/bbx137>), which are based on miRNA-messenger RNA regulation
 alone, or by integrating heterogeneous data, respectively. In addition, For
 predictive ceRNA relationship pairs, this package provides several
 downstream analysis algorithms, including regulatory network analysis and
 functional annotation analysis, as well as survival prognosis analysis based
 on expression of ceRNA ternary pair.

Package: r-cran-cernn
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cernn_0.1-1.ca2004.1_all.deb
Size: 27288
MD5sum: 068b2ed3ba61f3d5a8f4b97b3227341c
SHA1: 4794d155d36e82b6f92fa8d9b4a8c9eab621ba10
SHA256: e35d051a001a90f5493ad46da03f8c89e350b85be76d65d4a1f0859b308d5cfd
SHA512: 2d142d4bd0d3db665c3e687b72627a041605cfd4a34c4e5dcc9d1139a38a3b99bbee59b722b6ee785402db926c57266958c9009f14b56b24a9e9c3465b50c5a1
Homepage: https://cran.r-project.org/package=cernn
Description: CRAN Package 'cernn' (Covariance Estimation Regularized by Nuclear Norm Penalties)
 An implementation of the covariance estimation method proposed in Chi and
 Lange (2014), "Stable estimation of a covariance matrix guided by nuclear
 norm penalties," Computational Statistics and Data Analysis 80:117-128.

Package: r-cran-certainty
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-certainty_1.0.0-1.ca2004.1_all.deb
Size: 349404
MD5sum: 3164b873a668b24c0af58c5c43caa255
SHA1: 4a82e3723defdd92c9ba02dfa084b15442be36a1
SHA256: f807f3155c8fcf0a74d87b77426e8c7060b2a92635fbd1925a9c8e46a0ae0623
SHA512: 9b91fe76ae7b29c59f9f251998524c35ec9a5a30eda99a922fccaccda55e221c802177461da1c162f69efc3fc802e2827e69dda3162e1afa212e7721b2e8ad0a
Homepage: https://cran.r-project.org/package=ceRtainty
Description: CRAN Package 'ceRtainty' (Certainty Equivalent)
 Compute the certainty equivalents and premium risks as tools for
 risk-efficiency analysis. For more technical information, please refer to:
 Hardaker, Richardson, Lien, & Schumann (2004)
 <doi:10.1111/j.1467-8489.2004.00239.x>, and Richardson, & Outlaw (2008)
 <doi:10.2495/RISK080231>.

Package: r-cran-certara.darwinreporter
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-colourpicker, r-cran-shinyace, r-cran-shinymeta, r-cran-ggplot2, r-cran-xpose, r-cran-certara.xpose.nlme, r-cran-dplyr, r-cran-jsonlite, r-cran-tidyr, r-cran-flextable, r-cran-shinyjqui, r-cran-plotly, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-bslib, r-cran-shinytree, r-cran-sortable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-data.table, r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.darwinreporter_2.0.1-1.ca2004.1_all.deb
Size: 342080
MD5sum: 2684deef5bc03ffb4b0d22ddae1f70f0
SHA1: 737db0b45dd22a3e630e9af5aadcbbae7b6a12c8
SHA256: 224b1c5e8ca7c7a2349e9641774ee33b87710bddd0e0f91677a930f08e67c7b8
SHA512: f0bc3b0ad45b5e0f5b469012b32f135c34714d22bf0b021b540f81f8b0cce2347c29e7bfe03577329e08e52a190f2002e5faee621eef10222ea0c03e901c630c
Homepage: https://cran.r-project.org/package=Certara.DarwinReporter
Description: CRAN Package 'Certara.DarwinReporter' (Data Visualization Utilities for 'pyDarwin' Machine LearningPharmacometric Model Development)
 Utilize the 'shiny' interface for visualizing results from a 'pyDarwin'
 (<https://certara.github.io/pyDarwin/>) machine learning pharmacometric
 model search. It generates Goodness-of-Fit plots and summary tables for
 selected models, allowing users to customize diagnostic outputs within the
 interface. The underlying R code for generating plots and tables can be
 extracted for use outside the interactive session. Model diagnostics can
 also be incorporated into an R Markdown document and rendered in various
 output formats.

Package: r-cran-certara.modelresults
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 881
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colourpicker, r-cran-shinyace, r-cran-shinymeta, r-cran-certara.xpose.nlme, r-cran-xpose, r-cran-dplyr, r-cran-flextable, r-cran-shinyjqui, r-cran-ggplot2, r-cran-plotly, r-cran-magrittr, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinytree, r-cran-sortable, r-cran-tidyr, r-cran-rlang, r-cran-bslib
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-certara.rsnlme
Filename: pool/dists/focal/main/r-cran-certara.modelresults_3.0.1-1.ca2004.1_all.deb
Size: 789644
MD5sum: 913d4c4352da4d9eef6c162e6e1d58b5
SHA1: 6cfffccd197f65e97a8a79b004acf8be22829113
SHA256: 0fbd0c091d26e08838cf37d2bdd5176d878e07e28c93529933b45d3278c2955e
SHA512: b8beea080d7c1042e63bf9afd59460a5dd0191dd69672fbef21cc1ca14ef1daf66299d18eb3cf66122c0524973fdcfdf4622f506d8bc68ded0489407c38ebae3
Homepage: https://cran.r-project.org/package=Certara.ModelResults
Description: CRAN Package 'Certara.ModelResults' (Generate Diagnostics for Pharmacometric Models Using 'shiny')
 Utilize the 'shiny' interface to generate Goodness of Fit (GOF) plots and
 tables for Non-Linear Mixed Effects (NLME / NONMEM) pharmacometric models.
 From the interface, users can customize model diagnostics and generate the
 underlying R code to reproduce the diagnostic plots and tables outside of
 the 'shiny' session. Model diagnostics can be included in a 'rmarkdown'
 document and rendered to desired output format.

Package: r-cran-certara.nlme8
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-batchtools, r-cran-reshape, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.nlme8_3.0.1-1.ca2004.1_all.deb
Size: 481316
MD5sum: dbeba085fb49e062810125a5f621608d
SHA1: ec0b25b8cf9ae5b0821cfb20c83ace938490bf2d
SHA256: 5dc10da76e738e6ffda71ac5b118093cbfdcd3be7d8b2b62091830d02b490c93
SHA512: 92e3f400a0ce3dc8cf65a6a71116986c6f15c821c2585ead253c133446137c94f267947f0133207c263514c7fa9893aba1c83bec2b7b66dce332dbe00d6d9b83
Homepage: https://cran.r-project.org/package=Certara.NLME8
Description: CRAN Package 'Certara.NLME8' (Utilities for Certara's Nonlinear Mixed-Effects Modeling Engine)
 Perform Nonlinear Mixed-Effects (NLME) Modeling using Certara's NLME-Engine.
 Access the same Maximum Likelihood engines used in the Phoenix platform,
 including algorithms for parametric methods, individual, and pooled data
 analysis
 <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>.  The
 Quasi-Random Parametric Expectation-Maximization Method (QRPEM) is also
 supported <https://www.page-meeting.org/default.asp?abstract=2338>.
 Execution is supported both locally or on remote machines. Remote execution
 includes support for Linux Sun Grid Engine (SGE), Terascale Open-source
 Resource and Queue Manager (TORQUE) grids, Linux and Windows multicore, and
 individual runs.

Package: r-cran-certara.r
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-batchtools, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-htmltools, r-cran-jsonlite, r-cran-magrittr, r-cran-plotly, r-cran-reshape, r-cran-remotes, r-cran-rlang, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinymaterial, r-cran-shinyjqui, r-cran-sortable, r-cran-ssh, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-certara.r_1.1.0-1.ca2004.1_all.deb
Size: 26240
MD5sum: c8fea51deeb17d90679cf0c939522ea6
SHA1: 8bdbebe180736ad68bc7a923fdda03e267231e33
SHA256: c2bc3fd51155dbc6034c03377945628d635ba24296dfb589838c7d7f158a1e4d
SHA512: 4e26bd7ffb5ee6371eed42206d5aa231e86f15bb7e633a48c4c85d9e2937593999f4431e64344c77d227da17691c9359020131d6e4100e9133aa3a1ea32722e6
Homepage: https://cran.r-project.org/package=Certara.R
Description: CRAN Package 'Certara.R' (Easily Install Pharmacometric Packages and Shiny ApplicationsDeveloped by Certara)
 A convenient set of wrapper functions to install pharmacometric packages and
 Shiny applications developed by Certara PMX and Integrated Drug Development
 (iDD). The functions ensure the successful installation of packages from
 non-standard repositories.

Package: r-cran-certara.rdarwin
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-certara.rdarwin_1.1.1-1.ca2004.1_all.deb
Size: 558536
MD5sum: b247baa2df0b49b8b3be1bf2a2a2acdf
SHA1: 63d53c918282e9772fa0ea6c181f53bf216f7c1b
SHA256: 3ea48b7bc9404e19bd79dd7ac795d494def86b3b6ff28a5e87b0727604281b5e
SHA512: 522cd10b03336fcdc0fd5da8c2061ce883869c7e0b3bba59e53a55ecb91526492ef2caf6e6adee2dbe5ebdf58be6982743d549f9f2cbe67b4ae06a457ba2afcd
Homepage: https://cran.r-project.org/package=Certara.RDarwin
Description: CRAN Package 'Certara.RDarwin' (Interface for 'pyDarwin' Machine Learning Pharmacometric ModelDevelopment)
 Utilities that support the usage of 'pyDarwin'
 (<https://certara.github.io/pyDarwin/>) for ease of setup and execution of a
 machine learning based pharmacometric model search with Certara's Non-Linear
 Mixed Effects (NLME) modeling engine.

Package: r-cran-certara.rsnlme.modelbuilder
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 720
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-certara.rsnlme, r-cran-shinymeta, r-cran-shinyace, r-cran-bslib, r-cran-data.table, r-cran-dt, r-cran-ggplot2, r-cran-ggforce, r-cran-htmltools, r-cran-htmlwidgets, r-cran-magrittr, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.rsnlme.modelbuilder_3.0.1-1.ca2004.1_all.deb
Size: 594700
MD5sum: 7626bb2502c76c423a2e69781a022ef3
SHA1: 30652181b168b1fdccf7e6d0cf08cc9f5188a4b1
SHA256: 2755cf063c50ff2588ac82d25f87a8f25d90c6b87dc8bf08b7d3c9233b4aea97
SHA512: 3a716ca42f78056312cbc7b9e4bf813621c32116533877fd6e886807de63bfa9cf77d542e3ed6817760d95c32e39a8b2eeb21c1a2c75959deb910739dd0303e8
Homepage: https://cran.r-project.org/package=Certara.RsNLME.ModelBuilder
Description: CRAN Package 'Certara.RsNLME.ModelBuilder' (Pharmacometric Model Building Using 'shiny')
 Develop Nonlinear Mixed Effects (NLME) models for pharmacometrics using a
 'shiny' interface. The Pharmacometric Modeling Language (PML) code updates
 in real time given changes to user inputs. Models can be executed using the
 'Certara.RsNLME' package.  Additional support to generate the underlying
 'Certara.RsNLME' code to recreate the corresponding model in R is provided
 in the user interface.

Package: r-cran-certara.rsnlme.modelexecutor
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-certara.rsnlme, r-cran-certara.nlme8, r-cran-shinyace, r-cran-shinymeta, r-cran-bslib, r-cran-htmltools, r-cran-magrittr, r-cran-dplyr, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringr, r-cran-fs, r-cran-ggplot2, r-cran-future, r-cran-promises, r-cran-reshape, r-cran-jsonlite, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.rsnlme.modelexecutor_3.0.2-1.ca2004.1_all.deb
Size: 169068
MD5sum: 3ce02d4543d1131c1a2b82ec7ba5177c
SHA1: 885a23d9aa444ad965b0ff9f4bdc53fa3ccda56a
SHA256: 1f24e523cd2d60cf8b8b309af4e05509e42e0a7eb2c056aa8e85971237335dfe
SHA512: 1594b8ca5abf5acd49a4e3a2fd76b6850f84527d9d5220c4747536760704374e81111d21f6028fb6e9e7ab7f966653d8e4cc20eae7fa64a68073d72392d9827e
Homepage: https://cran.r-project.org/package=Certara.RsNLME.ModelExecutor
Description: CRAN Package 'Certara.RsNLME.ModelExecutor' (Execute Pharmacometric Models Using 'shiny')
 Execute Nonlinear Mixed Effects (NLME) models for pharmacometrics using a
 'shiny' interface. Specify engine parameters and select from different run
 options, including simple estimation, stepwise covariate search,
 bootstrapping, simulation, visual predictive check, and more. Models are
 executed using the 'Certara.RsNLME' package.

Package: r-cran-certara.rsnlme
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-assertthat, r-cran-certara.nlme8, r-cran-data.table, r-cran-jsonlite, r-cran-ssh
Suggests: r-cran-rlang, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-certara.rsnlme_3.0.1-1.ca2004.1_all.deb
Size: 1359320
MD5sum: af12aeb9a0007c4d534a1ed9093bc4f6
SHA1: 47c4cf9201eb55c1c2c5562ea46504d4c2d1ac83
SHA256: 267d339838c84293143d554deaae7afe7b95ca2f15c92a3c5a9f4c8124ebd6f5
SHA512: 3a9536fe474186444aaab6094972d15a4ad54b216fe371fbca29fc2ed3930f1094a85d39f7da8dbca62fd142129b93f08c8cc6f1dac06dbc01eb9d8f148ed928
Homepage: https://cran.r-project.org/package=Certara.RsNLME
Description: CRAN Package 'Certara.RsNLME' (Pharmacometric Modeling)
 Facilitate Pharmacokinetic (PK) and Pharmacodynamic (PD) modeling and
 simulation with powerful tools for Nonlinear Mixed-Effects (NLME) modeling.
 The package provides access to the same advanced Maximum Likelihood
 algorithms used by the NLME-Engine in the Phoenix platform. These tools
 support a range of analyses, from parametric methods to individual and
 pooled data analysis
 <https://www.certara.com/app/uploads/2020/06/BR_PhoenixNLME-v4.pdf>.
 Execution is supported both locally or on remote machines.

Package: r-cran-certara.vpcresults
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinyace, r-cran-shinymeta, r-cran-bslib, r-cran-colourpicker, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-plotly, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinyjqui, r-cran-sortable, r-cran-tidyvpc, r-cran-htmltools, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xpose, r-cran-ggnewscale, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.vpcresults_3.0.2-1.ca2004.1_all.deb
Size: 224236
MD5sum: 29a2d921941c61453e7d60382f274e00
SHA1: 95274aaaf6d380fd15e58b085a6d532a6b6c1cf6
SHA256: 5bec3400d39c6c77fd649dcf61b71ff32602bdbbe07b87db75a2efbcbbd7f3c4
SHA512: 8e746e0541f3302229711fe38d392e0e903a86397a1a7cbfb45268e6970131445ffb40eaad1251de21c8c25b02d8bcf089b5581b6c2c3882bf071bc6db102d5a
Homepage: https://cran.r-project.org/package=Certara.VPCResults
Description: CRAN Package 'Certara.VPCResults' (Generate Visual Predictive Checks (VPC) Using 'shiny')
 Utilize the 'shiny' interface to parameterize a Visual Predictive Check
 (VPC), including selecting from different binning or binless methods and
 performing stratification, censoring, and prediction correction. Generate
 the underlying 'tidyvpc' and 'ggplot2' code directly from the user interface
 and download R or Rmd scripts to reproduce the VPCs in R.

Package: r-cran-certara.xpose.nlme
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-egg, r-cran-ggally, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-xpose
Suggests: r-cran-certara.rsnlme, r-cran-data.table, r-cran-gridextra, r-cran-jsonlite, r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-certara.xpose.nlme_2.0.2-1.ca2004.1_all.deb
Size: 1120516
MD5sum: d93e0f84ff8571ea48bfdf1616e50935
SHA1: 9f54ebd2f44ce7b96e4460bd8b9768a641cc774b
SHA256: 65726e3020a5794f902b9e5bfa7c6267ce6d24de30d747a926817742cbf93727
SHA512: d6b7242904f9d13501f1af32f43eafdc000ab66d380345a070fbfd4f111e9d5f1cadc4d18b00885a7f586111dab4000841612573fa2b51e487bd863565eb9689
Homepage: https://cran.r-project.org/package=Certara.Xpose.NLME
Description: CRAN Package 'Certara.Xpose.NLME' (Enhances 'xpose' Diagnostics for Pharmacometric Models from'Certara.RsNLME' and Phoenix NLME)
 Facilitates the creation of 'xpose' data objects from Nonlinear Mixed
 Effects (NLME) model outputs produced by 'Certara.RsNLME' or Phoenix NLME.
 This integration enables users to utilize all 'ggplot2'-based plotting
 functions available in 'xpose' for thorough model diagnostics and data
 visualization. Additionally, the package introduces specialized plotting
 functions tailored for covariate model evaluation, extending the analytical
 capabilities beyond those offered by 'xpose' alone.

Package: r-cran-ces
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-haven, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-ces_0.1.0-1.ca2004.1_all.deb
Size: 86748
MD5sum: 8fac0546f5fc0920a5ae8b4eba8abd9c
SHA1: dd48f3b142e7d00184689584b91d73e759b1cde0
SHA256: 9735049fcc7701b91435381c036de2b87dda671cdb14c6fb8a648af8e679124c
SHA512: 17ab9ed1e7bbd5180ddea99d42065d8560f2f2756214047994bdff23c91ecbc9d1acac7bc9f150c529ef0e31054a296fd7669a8982dd1f9d8f57442c5e3d1f77
Homepage: https://cran.r-project.org/package=ces
Description: CRAN Package 'ces' (Access to Canadian Election Study Data)
 Provides tools to easily access and analyze Canadian Election Study data.
 The package simplifies the process of downloading, cleaning, and using 'CES'
 datasets for political science research and analysis. The Canadian Election
 Study ('CES') has been conducted during federal elections since 1965,
 surveying Canadians on their political preferences, engagement, and
 demographics. Data is accessed from the 'Borealis' Data repository
 <https://borealisdata.ca/>, which serves as the official host for 'CES'
 datasets. This package is not officially affiliated with the Canadian
 Election Study or 'Borealis' Data, and users should cite the original data
 sources in their work.

Package: r-cran-cesr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-haven, r-cran-readr, r-cran-labelled, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cesr_0.1.0-1.ca2004.1_all.deb
Size: 100120
MD5sum: 9995c0898aef9f04162e2a4ef1cfd9a2
SHA1: 19fbec455ca15dd610195b527395e2ba106a7c1d
SHA256: f6c6128e4eb6e0344d068d0c8935bab19f2ecf83d6dcaff0d1c96f20a85ae1df
SHA512: 5a8a9633352a29017165bd72609e84cfe4048c6af08852a5ab2be7bf372ffd3c02756408546b4b7e104307b2b0d84cad62d884e54f94f9cfc7cfdeb3652fbcc7
Homepage: https://cran.r-project.org/package=cesR
Description: CRAN Package 'cesR' (Access the Canadian Election Study Datasets)
 Makes accessing and loading the Canadian Election Study
 (<http://www.ces-eec.ca/>, <https://ces-eec.arts.ubc.ca/>,
 <https://search1.odesi.ca/#/>) surveys into the R workspace more efficient
 by downloading a requested survey and loading it as a data object. This
 removes the need to locate, download, load, and change working directories
 when working with the Canadian Election Study surveys.

Package: r-cran-cetcolor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cetcolor_0.2.0-1.ca2004.1_all.deb
Size: 370708
MD5sum: c69d51aecdf142c0b66909f5c45496be
SHA1: cae677ab8119f1b76984a43144ac5e0a120d1e24
SHA256: 7f41a7216228deeac459cbcd6f921415ee069596a9bf381e6e41f46ebe57cd06
SHA512: 4335717506760266a54d9fac8347a0285ca8b888c2ddc2bd53f6f818e48f2137d8b3ce0b78d59161ab54ab2739b5e0891fd06751ab5192fa29ea45c329108b9a
Homepage: https://cran.r-project.org/package=cetcolor
Description: CRAN Package 'cetcolor' (CET Perceptually Uniform Colour Maps)
 Collection of perceptually uniform colour maps made by Peter Kovesi (2015)
 "Good Colour Maps: How to Design Them" <arXiv:1509.03700> at the Centre for
 Exploration Targeting (CET).

Package: r-cran-ceterisparibus
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gower, r-cran-dalex
Suggests: r-cran-randomforest, r-cran-ggiraph, r-cran-e1071, r-cran-testthat, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-ceterisparibus_0.6-1.ca2004.1_all.deb
Size: 112608
MD5sum: b6195addc6293d2890a2e2540f40e781
SHA1: 967c7da4f6e4b3213836461b1ec2764a5aae86a1
SHA256: 3417881b3ce78bd9a063a9c3b8f66f7d6a9f571c1808e28d2c46ca4b2f4e475e
SHA512: 63cd99d2533b2771d913d07d2a534ddbf044810dc56c0f31a0aefdf0ab665e7dd8549dbd68559b5cbdb67d558997eeb9e0978e6f1a7f80567aa9ad25a5d12736
Homepage: https://cran.r-project.org/package=ceterisParibus
Description: CRAN Package 'ceterisParibus' (Ceteris Paribus Profiles)
 Ceteris Paribus Profiles (What-If Plots) are designed to present model
 responses around selected points in a feature space.  For example around a
 single prediction for an interesting observation.  Plots are designed to
 work in a model-agnostic fashion, they are working for any predictive
 Machine Learning model and allow for model comparisons.  Ceteris Paribus
 Plots supplement the Break Down Plots from 'breakDown' package.

Package: r-cran-cfa
Architecture: all
Version: 0.10-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfa_0.10-2-1.ca2004.1_all.deb
Size: 111112
MD5sum: d33c9aeec41168ac2d1882ab156fae7f
SHA1: 2f2fc04a5e083bc1f1285f2a12d2c9eeec05d053
SHA256: 0c290458a0307444da4e5a387a4101f5ff113bcde9065eafd88b42390b1a883e
SHA512: dce4f6bc8e7f1ecc318995a34975c17fb0e88de191a381af4d2410bd14461ad270b884dd8f1a1c7449375f5fb39b6f59e951baa673709ee9e08971ee489c9f95
Homepage: https://cran.r-project.org/package=cfa
Description: CRAN Package 'cfa' (Configural Frequency Analysis (CFA))
 Analysis of configuration frequencies for simple and repeated measures,
 multiple-samples CFA, hierarchical CFA, bootstrap CFA, functional CFA,
 Kieser-Victor CFA, and Lindner's test using a conventional and an
 accelerated algorithm.

Package: r-cran-cfacoop
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cfacoop_1.0.0-1.ca2004.1_all.deb
Size: 244116
MD5sum: 5ce5fd6a1053a828721a4d400fcb71da
SHA1: bbb6f290c74462fe88af4c9c82751c4f177d611a
SHA256: d8c1ba4a89c6bca245e1a278e1a6f1c00e909cc3c29f9dec7b6daaaa0e70f6a5
SHA512: ba02fa9ab2b8c5bc8ee036cc6a7648d05cc30f5561ce5c0e4b9d17d95fa09792024fdc9092252fb8cb6552f88705fe1e4e1d49b1eea3a2be90c29d6db346467c
Homepage: https://cran.r-project.org/package=CFAcoop
Description: CRAN Package 'CFAcoop' (Colony Formation Assay: Taking into Account Cellular Cooperation)
 Cellular cooperation compromises the plating efficiency-based analysis of
 clonogenic survival data. This tool provides functions that enable a robust
 analysis of colony formation assay (CFA) data in presence or absence of
 cellular cooperation.  The implemented method has been described in Brix et
 al. (2020). (Brix, N., Samaga, D., Hennel, R. et al.  "The clonogenic assay:
 robustness of plating efficiency-based analysis is strongly compromised by
 cellular cooperation." Radiat Oncol 15, 248 (2020).
 <doi:10.1186/s13014-020-01697-y>) Power regression for parameter estimation,
 calculation of survival fractions, uncertainty analysis and plotting
 functions are provided.

Package: r-cran-cfbfastr
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-magrittr, r-cran-mgcv, r-cran-nnet, r-cran-progressr, r-cran-purrr, r-cran-rcpp, r-cran-rcppparallel, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-ggplot2, r-cran-ggrepel, r-cran-qs, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringi, r-cran-testthat, r-cran-usethis, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-cfbfastr_1.9.0-1.ca2004.1_all.deb
Size: 688772
MD5sum: 2aa9e0dcf4a8ec7233cbcc77c03398d4
SHA1: 88ecf5bd76cd33213ee1b878b7188a909998dd98
SHA256: ebcfc7fbc70b2a73017eeaae68515a2199688930f81277241bca25fe372bac3c
SHA512: a231c8192d39dbcd19902dcd19be94b7d06bdc44cf6055a2c19dd03d99f430ba786e3fcac5ddbe083494b61b138a59374345857688905db29b963a2c56454c4b
Homepage: https://cran.r-project.org/package=cfbfastR
Description: CRAN Package 'cfbfastR' (Access College Football Play by Play Data)
 A utility to quickly obtain clean and tidy college football data. Serves as
 a wrapper around the <https://collegefootballdata.com/> API and provides
 functions to access live play by play and box score data from ESPN
 <https://www.espn.com> when available. It provides users the capability to
 access a plethora of endpoints, and supplement that data with additional
 information (Expected Points Added/Win Probability added).

Package: r-cran-cfda
Architecture: all
Version: 0.12.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-ggplot2, r-cran-msm, r-cran-diagram, r-cran-mgcv, r-cran-pbapply, r-cran-tidyr, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cfda_0.12.1-1.ca2004.1_all.deb
Size: 706624
MD5sum: 69fd870d8739da0c69fb92a2b22d3cb4
SHA1: 8f709b0e5d29c7d1a4bfeb12a2708fc1b2059744
SHA256: d6809d6eb13ccd4ab3f32aad8832f71e8d56407c8ada94b27e3e5c82319dc02d
SHA512: bfcadff6a0ae08d9626e1ed6c53bdf5374858c87af7b5b0a57c448e07133c8d93ff270d1566c30fa36914a02e41ecd5e9a9ac417ec44a4bd210a1c3ec1b10742
Homepage: https://cran.r-project.org/package=cfda
Description: CRAN Package 'cfda' (Categorical Functional Data Analysis)
 Package for the analysis of categorical functional data.  The main purpose
 is to compute an encoding (real functional variable) for each state
 <doi:10.3390/math9233074>.  It also provides functions to perform basic
 statistical analysis on categorical functional data.

Package: r-cran-cfdecomp
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfdecomp_0.4.0-1.ca2004.1_all.deb
Size: 287164
MD5sum: 3f38cdd505d5ffd50ae3b1f8a5f0e92f
SHA1: ce587d64f26b691585f37f6c29e8d53ae007c774
SHA256: 70f91045c3b62d1d125daf7cf8e6244dcc9b49cad44dfb331953495d2b068c85
SHA512: 89ad61b5e0e18363bc496af546061088c5921141ed64dec43a6042b414d13b82592bf1b86918d3d203907e1467a6ea071b391d4237e55aedc29efb3be6d6ec22
Homepage: https://cran.r-project.org/package=cfdecomp
Description: CRAN Package 'cfdecomp' (Counterfactual Decomposition: MC Integration of the G-Formula)
 Provides a set of functions for counterfactual decomposition (cfdecomp). The
 functions available in this package decompose differences in an outcome
 attributable to a mediating variable (or sets of mediating variables)
 between groups based on counterfactual (causal inference) theory. By using
 Monte Carlo (MC) integration (simulations based on empirical estimates from
 multivariable models) we provide added flexibility compared to existing
 (analytical) approaches, at the cost of computational power or time. The
 added flexibility means that we can decompose difference between groups in
 any outcome or and with any mediator (any variable type and distribution).
 See Sudharsanan & Bijlsma (2019) <doi:10.4054/MPIDR-WP-2019-004> for more
 information.

Package: r-cran-cfestimatequantiles
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfestimatequantiles_1.0-1.ca2004.1_all.deb
Size: 16196
MD5sum: f487397179215464f8de54ed811d8ecf
SHA1: 7c278629b5b416b1c713567901bf2d3d2803d0bc
SHA256: c5e0a8ec40eb3c4a1eda9d2e90d2085c166b8fc24ff78fc52843880d2e317cd8
SHA512: 52f3ea4a8781415bcf5a53468e85ea471f91f349313c55cb1d4447ce550583393e4983f547c2cb4e2de2541be4180c5d632882d2e907e57979ea08ae7618ba2f
Homepage: https://cran.r-project.org/package=CfEstimateQuantiles
Description: CRAN Package 'CfEstimateQuantiles' (Estimate quantiles using any order Cornish-Fisher expansion)
 Estimate quantiles using formula (18) from
 http://www.jaschke-net.de/papers/CoFi.pdf (Yaschke; 2001)

Package: r-cran-cff
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cff_1.0-1.ca2004.1_all.deb
Size: 28604
MD5sum: 490ba8a0779ec24c717b1052aa39ae4c
SHA1: 8653fc25d2dac575079e022bcce09c2644c878e8
SHA256: cf71b40b955b70378a4a9edc0656fd7a93fea453a34ab8cbef9403107912ef78
SHA512: a0704531ebf4fcb64cbd84bb40b2d0bb8a368fb409c67cf0d6fd8e207674a342be5f90a60a1ed9b18fdb70f26960517ad7258e241a26a30634ffe758d39270b6
Homepage: https://cran.r-project.org/package=CFF
Description: CRAN Package 'CFF' (Simple Similarity for User-Based Collaborative Filtering Systems)
 A simple, fast algorithm to find the neighbors and similarities of users in
 user-based filtering systems, to break free from the complex computation of
 existing similarity formulas and the ability to solve big data.

Package: r-cran-cffdrs
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2775
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-foreach, r-cran-sf, r-cran-terra, r-cran-doparallel, r-cran-geosphere
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cffdrs_1.9.0-1.ca2004.1_all.deb
Size: 1514716
MD5sum: af7d439d88dfef36f47497afc1474e93
SHA1: 2e5c03b87d628551f6e2e79642c3e716e3f2059a
SHA256: 3a004179c71c15a790bb83c0509a3171b70702ebd5049939df7f406aa76dc918
SHA512: c27242e6af7f9a2b2bb7fe4cac71586709adecbda706d4fe0671d6e6aae18f4b724c1d1b0fcfaecc37255f0c462681ef7a7c9100400b26b711d07b653815a65c
Homepage: https://cran.r-project.org/package=cffdrs
Description: CRAN Package 'cffdrs' (Canadian Forest Fire Danger Rating System)
 This project provides a group of new functions to calculate the outputs of
 the two main components of the Canadian Forest Fire Danger Rating System
 (CFFDRS) Van Wagner and Pickett (1985)
 <https://cfs.nrcan.gc.ca/publications?id=19973>) at various time scales: the
 Fire Weather Index (FWI) System Wan Wagner (1985)
 <https://cfs.nrcan.gc.ca/publications?id=19927> and the Fire Behaviour
 Prediction (FBP) System Forestry Canada Fire Danger Group (1992)
 <https://cfs.nrcan.gc.ca/pubwarehouse/pdfs/10068.pdf>. Some functions have
 two versions, table and raster based.

Package: r-cran-cffr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-yaml
Suggests: r-cran-bibtex, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-cffr_1.2.0-1.ca2004.1_all.deb
Size: 425164
MD5sum: 95a6bed40eae32f8552af3138360a231
SHA1: 20523ac0c68444a7ada34e080ed8c4fd93c9c219
SHA256: 65729cd957c3d11ecd2d326dd9fb49f1b1e4cab0aa11cd9ed5f972c58c59776d
SHA512: 00e9200e21003c89f9db6760f65f09ca310885087bb88bfd64fd546f64214407d2093a43e58ad52b194352048f6845d7562f8d92163718444b72701a3b95f9f2
Homepage: https://cran.r-project.org/package=cffr
Description: CRAN Package 'cffr' (Generate Citation File Format ('cff') Metadata for R Packages)
 The Citation File Format version 1.2.0 <doi:10.5281/zenodo.5171937> is a
 human and machine readable file format which provides citation metadata for
 software. This package provides core utilities to generate and validate this
 metadata.

Package: r-cran-cfid
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-dagitty, r-cran-igraph, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cfid_0.1.7-1.ca2004.1_all.deb
Size: 163248
MD5sum: 147059e3cf2446459f076f5768ca2f78
SHA1: 26a8c135f143c15210b510fbca2eee7b7d40ae0a
SHA256: f72860b378d462bb4f05a0fd6ed0afcb804633652755f3f25c17a00776e9207a
SHA512: 3fb698869237555849bd4172721357aee8f9a510438e8bf6f7cbbc5481573743d13fd3753628fc3654f638c8c32d94853a4852501bd4e1a226665526630fecc4
Homepage: https://cran.r-project.org/package=cfid
Description: CRAN Package 'cfid' (Identification of Counterfactual Queries in Causal Models)
 Facilitates the identification of counterfactual queries in structural
 causal models via the ID* and IDC* algorithms by Shpitser, I. and Pearl, J.
 (2007, 2008) <arXiv:1206.5294>,
 <https://jmlr.org/papers/v9/shpitser08a.html>.  Provides a simple interface
 for defining causal diagrams and counterfactual conjunctions. Construction
 of parallel worlds graphs and counterfactual graphs is carried out
 automatically based on the counterfactual query and the causal diagram. See
 Tikka, S. (2023) <doi:10.32614/RJ-2023-053> for a tutorial of the package.

Package: r-cran-cfilt
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfilt_0.3.0-1.ca2004.1_all.deb
Size: 187832
MD5sum: 586c1e220ead54469183e0e3ea613800
SHA1: 442908944b33d58e4030f6de2bc95b95ec4486e8
SHA256: 5d3fb3056b798be062a706f12b22249d83f258d59f35385cf3c0662a2325df51
SHA512: b43732829f2007fca57b55b24e6956b48b39902fb2489b79de214f33ff0256c3173fec10482c0986228a93f0ef7020e5e42fdd24d30b75e4de6be516c8115aae
Homepage: https://cran.r-project.org/package=CFilt
Description: CRAN Package 'CFilt' (Recommendation by Collaborative Filtering)
 Provides methods and functions to implement a Recommendation System based on
 Collaborative Filtering Methodology.  See Aggarwal (2016)
 <doi:10.1007/978-3-319-29659-3> for an overview.

Package: r-cran-cfma
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfma_1.0-1.ca2004.1_all.deb
Size: 602320
MD5sum: fc8053eb926e382ba568ad0a9cfbc660
SHA1: 8f757e7fb0b6b77e2699bfa14f231b37688a1aa1
SHA256: 8742082516d67711d0bb5229ab3ae206c367b3c5c8e41e327c7866d72d5b808d
SHA512: bb83fceddb34ce8b7e6c4bebc1943ca2962004b104c5c0011489cba6468caaae1dcb0fa65efd1ac6c4a2079478a085dc0ac257f34feb737becfa2b5b74205e83
Homepage: https://cran.r-project.org/package=cfma
Description: CRAN Package 'cfma' (Causal Functional Mediation Analysis)
 Performs causal functional mediation analysis (CFMA) for functional
 treatment, functional mediator, and functional outcome. This package
 includes two functional mediation model types: (1) a concurrent mediation
 model and (2) a historical influence mediation model. See Zhao et al.
 (2018), Functional Mediation Analysis with an Application to Functional
 Magnetic Resonance Imaging Data, <arXiv:1805.06923> for details.

Package: r-cran-cfmortality
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cfmortality_0.3.0-1.ca2004.1_all.deb
Size: 13596
MD5sum: a8d4a6a7154e7a043d10fa8cb74d1a33
SHA1: 9eb872a015d6816d1869363545076ed46f2cad43
SHA256: da99998ccb772daa2814ff2bc6dc09c73efdf1d430e4423b9e10aa2d8ed3ade2
SHA512: a791bcc9e073b1be2916cfd1bd2add27de2745118586e231064edfdea2bdeff75e6430a532e6c1eb41616518d77b192d183818aaf183b079b124c5a4f6a86032
Homepage: https://cran.r-project.org/package=cfmortality
Description: CRAN Package 'cfmortality' (Cystic Fibrosis Survival Prediction Model Based on StanojevicModel)
 Allows clinicians to predict survival probabilities over the next two years
 for cystic fibrosis patients, based on the clinical prediction models
 published in Stanojevic et al. (2019) <doi:10.1183/13993003.00224-2019>.

Package: r-cran-cfo
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-dplyr, r-cran-ggplot2, r-cran-iso, r-cran-pbapply, r-cran-rcolorbrewer, r-cran-scales
Filename: pool/dists/focal/main/r-cran-cfo_2.2.0-1.ca2004.1_all.deb
Size: 316700
MD5sum: cf3979e2fe9e294504de4d6fd5d8ed76
SHA1: 973ce38ec616597f9b23a67dbf9df2f4dfcbeedd
SHA256: a857fbf4ed9f9f717fa251c6ea510b431188d6c697569c31fa622ce3a6ab69e4
SHA512: 487e1b0ef888efc3030b9aeedeaac53275b05b8711b83f4cb785fc3ee493f2a4371d6a150e95dc5c5a3629510414930e8c4eb15ab579b05c98eac6728321dd08
Homepage: https://cran.r-project.org/package=CFO
Description: CRAN Package 'CFO' (CFO-Type Designs in Phase I/II Clinical Trials)
 In phase I clinical trials, the primary objective is to ascertain the
 maximum tolerated dose (MTD) corresponding to a specified target toxicity
 rate. The subsequent phase II trials are designed to examine the potential
 efficacy of the drug based on the MTD obtained from the phase I trials, with
 the aim of identifying the optimal biological dose (OBD). The 'CFO' package
 facilitates the implementation of dose-finding trials by utilizing
 calibration-free odds type (CFO-type) designs. Specifically, it encompasses
 the calibration-free odds (CFO) (Jin and Yin (2022)
 <doi:10.1177/09622802221079353>), randomized CFO (rCFO), precision CFO
 (pCFO), two-dimensional CFO (2dCFO) (Wang et al. (2023)
 <doi:10.3389/fonc.2023.1294258>), time-to-event CFO (TITE-CFO) (Jin and Yin
 (2023) <doi:10.1002/pst.2304>), fractional CFO (fCFO), accumulative CFO
 (aCFO), TITE-aCFO, and f-aCFO (Fang and Yin (2024) <doi:
 10.1002/sim.10127>). It supports phase I/II trials for the CFO design and
 only phase I trials for the other CFO-type designs. The ‘CFO' package
 accommodates diverse CFO-type designs, allowing users to tailor the approach
 based on factors such as dose information inclusion, handling of late-onset
 toxicity, and the nature of the target drug (single-drug or
 drug-combination). The functionalities embedded in 'CFO' package include the
 determination of the dose level for the next cohort, the selection of the
 MTD for a real trial, and the execution of single or multiple simulations to
 obtain operating characteristics. Moreover, these functions are equipped
 with early stopping and dose elimination rules to address safety
 considerations. Users have the flexibility to choose different
 distributions, thresholds, and cohort sizes among others for their specific
 needs. The output of the 'CFO' package can be summary statistics as well as
 various plots for better visualization. An interactive web application for
 CFO is available at the provided URL.

Package: r-cran-cforward
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cforward_0.2.0-1.ca2004.1_all.deb
Size: 101088
MD5sum: 34feb0786f4d9945a67cd53ca755d471
SHA1: 02999a192afb6679bdd82167dcb841845da7e658
SHA256: 8c3f7710623e24639e5cedcd7250bbf0514fd50515968f32d56099c334790ed5
SHA512: 28a6237ed9385347b8724d97153675f5bc7dee7256deca247d944b79e91bbf579130f5d73dffacd154f14c4c799eb2a2602ad810ec3780bcbc1e19c09d397699
Homepage: https://cran.r-project.org/package=cforward
Description: CRAN Package 'cforward' (Forward Selection using Concordance/C-Index)
 Performs forward model selection, using the C-index/concordance in survival
 analysis models.

Package: r-cran-cfr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1701
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-bookdown, r-cran-data.table, r-cran-distcrete, r-cran-distributional, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-incidence2, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-cfr_0.2.0-1.ca2004.1_all.deb
Size: 849812
MD5sum: 5d7ac66e7cbad871cd9b2bb8bd18662d
SHA1: 264fcb05a776b7763cd969bd850b8b3c3e35edc3
SHA256: c9f157cb4759803b3689237f10dce8f45199e09428ac65168a18b7c464ecd4fa
SHA512: f5f75ea8aea6214c5f1a30b10fb9493c07095c7246462f46495f2e1cac13a89a56afd315c0b3ef900ef6ade795c07480d472a8781e5d39edefe794bfce031d1e
Homepage: https://cran.r-project.org/package=cfr
Description: CRAN Package 'cfr' (Estimate Disease Severity and Case Ascertainment)
 Estimate the severity of a disease and ascertainment of cases, as discussed
 in Nishiura et al. (2009) <doi:10.1371/journal.pone.0006852>.

Package: r-cran-cft
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1384
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-osmdata, r-cran-magrittr, r-cran-tidync, r-cran-future, r-cran-furrr, r-cran-sf, r-cran-epitools, r-cran-tidyr, r-cran-rlang, r-cran-piper, r-cran-rlist
Suggests: r-cran-lubridate, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cft_1.0.0-1.ca2004.1_all.deb
Size: 231028
MD5sum: fbc4ec756d6688f953e27508b0d6d7e6
SHA1: d200b5cdd34074d8e69aa617476703f9c85120c1
SHA256: 455f81c1cadcf4edce27be02746d2c86422b0be8a094ccc8b89d6bdb64fdfa60
SHA512: e550fe5286f868d3456e5707b7edf7db51b91580181c032a6aa1e4f730863e973966a8bd653e4b1bfc278aacebb8cdf7d08e510e09f3d71ac79c126b708fbb49
Homepage: https://cran.r-project.org/package=cft
Description: CRAN Package 'cft' (Climate Futures Toolbox)
 Developed as a collaboration between Earth lab and the North Central Climate
 Adaptation Science Center to help users gain insights from available climate
 data. Includes tools and instructions for downloading climate data via a
 'USGS' API and then organizing those data for visualization and analysis
 that drive insight. Web interface for 'USGS' API can be found at
 <http://thredds.northwestknowledge.net:8080/thredds/reacch_climate_CMIP5_aggregated_macav2_catalog.html>.

Package: r-cran-cftime
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1742
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ncdfcf, r-cran-testthat, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-cftime_1.6.2-1.ca2004.1_all.deb
Size: 922760
MD5sum: b4b4bc0e1cb7f198a30fb5b85629e8c0
SHA1: bf045636b455d72327de3307edc40a23d7d1dfdd
SHA256: 72640fe192ca89d71775142fc363d954c0ddbe0b0cc70eea279e0865f77d8331
SHA512: 30e039376319eb882aa719189e7357d74d491d077797bb71797aa3c6795a27b3a52724a3fef4913bc450e92004c372714427411515576114d36b3c4666a8d895
Homepage: https://cran.r-project.org/package=CFtime
Description: CRAN Package 'CFtime' (Using CF-Compliant Calendars with Climate Projection Data)
 Support for all calendars as specified in the Climate and Forecast (CF)
 Metadata Conventions for climate and forecasting data. The CF Metadata
 Conventions is widely used for distributing files with climate observations
 or projections, including the Coupled Model Intercomparison Project (CMIP)
 data used by climate change scientists and the Intergovernmental Panel on
 Climate Change (IPCC). This package specifically allows the user to work
 with any of the CF-compliant calendars (many of which are not compliant with
 POSIXt). The CF time coordinate is formally defined in the CF Metadata
 Conventions document available at
 <https://cfconventions.org/Data/cf-conventions/cf-conventions-1.12/cf-conventions.html#time-coordinate>.

Package: r-cran-cg
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1897
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-vgam, r-cran-mass, r-cran-lattice, r-cran-survival, r-cran-multcomp, r-cran-nlme, r-cran-rms
Filename: pool/dists/focal/main/r-cran-cg_1.0-4-1.ca2004.1_all.deb
Size: 1367864
MD5sum: 5a7090524e50d898b8774685758c330d
SHA1: c85dac903d15223fab218a9a67f11681feadc377
SHA256: 38d7e9a82051cde66ea5a2eb91505a8c97df0a70ed8dc8eff0d49f63629c2f8b
SHA512: 3382447e54d1db9be4ecbe4ae968046772c38b8be8240d669bc6fa6c5f4a91a5f25efc324d3486d4fe453c8adb143bb1ae6b3ad6f39c588f6967563885a6bbcd
Homepage: https://cran.r-project.org/package=cg
Description: CRAN Package 'cg' (Compare Groups, Analytically and Graphically)
 Comprehensive data analysis software, and the name "cg" stands for "compare
 groups." Its genesis and evolution are driven by common needs to compare
 administrations, conditions, etc. in medicine research and development. The
 current version provides comparisons of unpaired samples, i.e. a linear
 model with one factor of at least two levels. It also provides comparisons
 of two paired samples. Good data graphs, modern statistical methods, and
 useful displays of results are emphasized.

Package: r-cran-cgaim
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-scam, r-cran-scar, r-cran-quadprog, r-cran-osqp, r-cran-limsolve, r-cran-matrix, r-cran-mass, r-cran-cgam, r-cran-mgcv, r-cran-gratia, r-cran-doparallel, r-cran-coneproj, r-cran-truncatednormal, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cgaim_1.0.2-1.ca2004.1_all.deb
Size: 138008
MD5sum: fd4c984961cf0835c9d0be777460445a
SHA1: bd28dcfbf60bbdd2c5e7828a57d4e351eb42341f
SHA256: 16ab992e44902f2b2135ccae3b03c17b75311499ac6382a616cd9c0ffa20b9a2
SHA512: f6413af37de04842cc52d2af38a5b461db82ecac945f72807446842c7e53dc97c5921ac2c369889e394043424719e6d4851a4ae7b881df0e563321108522150d
Homepage: https://cran.r-project.org/package=cgaim
Description: CRAN Package 'cgaim' (Constrained Groupwise Additive Index Models)
 Fits constrained groupwise additive index models and provides functions for
 inference and interpretation of these models. The method is described in
 Masselot, Chebana, Campagna, Lavigne, Ouarda, Gosselin (2022) "Constrained
 groupwise additive index models" <doi:10.1093/biostatistics/kxac023>.

Package: r-cran-cgal4h
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 34635
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cgal4h_0.1.0-1.ca2004.1_all.deb
Size: 4058188
MD5sum: db580c049d04edef88f704b6f67c486a
SHA1: d5bb5e33ffe80a79e465d3866c7ab1240e157e81
SHA256: 98fc8e42c53cfa67d0925a330d6adcec1f01c836c07e3fd8f8863df57b0a7299
SHA512: 31982574b04583f52881c94fb812e6337396333f5055dfa44b6b6cfa4b807cbfa70007b6f3a85abffd448dd74b3a55d590db5f92eacc37eb003f519eeb9985d2
Homepage: https://cran.r-project.org/package=cgal4h
Description: CRAN Package 'cgal4h' ('CGAL' Version 4 C++ Header Files)
 'CGAL' is a C++ library that aims to provide easy access to efficient and
 reliable algorithms in computational geometry. Since its version 4, 'CGAL'
 can be used as standalone header-only library and is available under a
 double GPL-3|LGPL license.  <https://www.cgal.org/>.

Package: r-cran-cgam
Architecture: all
Version: 1.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1133
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-coneproj, r-cran-splines2, r-cran-svdialogs, r-cran-statmod, r-cran-lme4, r-cran-matrix, r-cran-ggplot2, r-cran-dplyr, r-cran-zeallot, r-cran-rlang
Suggests: r-cran-mass, r-cran-semipar, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-cgam_1.27-1.ca2004.1_all.deb
Size: 1093616
MD5sum: 7a8bec34febfa6b10a9c9d6857c4a426
SHA1: a90804b53eadfc6933db47e0e3044ac22002f9e5
SHA256: e2ce7e8d5cc8934533c86c74b2e2971fc509bfb7f8101d42fc522b969ee20a04
SHA512: a762d0dc5cf979120748f335998295acabb18179c901ff59ff922c3cda03f29b4a76ddaa84b3215e117d71306371801a33534e179287b22ab52cf94b3614efe0
Homepage: https://cran.r-project.org/package=cgam
Description: CRAN Package 'cgam' (Constrained Generalized Additive Model)
 A constrained generalized additive model is fitted by the cgam routine.
 Given a set of predictors, each of which may have a shape or order
 restrictions, the maximum likelihood estimator for the constrained
 generalized additive model is found using an iteratively re-weighted cone
 projection algorithm. The ShapeSelect routine chooses a subset of predictor
 variables and describes the component relationships with the response. For
 each predictor, the user needs only specify a set of possible shape or order
 restrictions. A model selection method chooses the shapes and orderings of
 the relationships as well as the variables. The cone information criterion
 (CIC) is used to select the best combination of variables and shapes. A
 genetic algorithm may be used when the set of possible models is large. In
 addition, the cgam routine implements a two-dimensional isotonic regression
 using warped-plane splines without additivity assumptions.  It can also fit
 a convex or concave regression surface with triangle splines without
 additivity assumptions. See Liao X, Meyer MC
 (2019)<doi:10.18637/jss.v089.i05> for more details.

Package: r-cran-cge
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cge_0.3.3-1.ca2004.1_all.deb
Size: 278876
MD5sum: 4edce5a4d9b20be1428d86336baede76
SHA1: 142619a11eb19bef69603dbc14a682629ccdff33
SHA256: ca93e90cc3273b027a648893101216af45be789624e41261e87abc45860c13ca
SHA512: 3ae00b6659ae1964909d0807067b4100b12259c8c24255e127a4592990e950b6303dc67cf936684420139501db08a09ea2b035e9fd271f95a6524dfef214e2e9
Homepage: https://cran.r-project.org/package=CGE
Description: CRAN Package 'CGE' (Computing General Equilibrium)
 Developing general equilibrium models, computing general equilibrium and
 simulating economic dynamics with structural dynamic models in LI (2019,
 ISBN: 9787521804225) "General Equilibrium and Structural Dynamics:
 Perspectives of New Structural Economics. Beijing: Economic Science Press".
 When developing complex general equilibrium models, GE package should be
 used in addition to this package.

Package: r-cran-cgmanalysis
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-parsedate, r-cran-lubridate, r-cran-pracma, r-cran-zoo, r-cran-pastecs, r-cran-readxl, r-cran-readr, r-cran-xml, r-cran-mess, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-cgmanalysis_3.1.1-1.ca2004.1_all.deb
Size: 205344
MD5sum: c1f1d7dff400a5b99c2d55d03addfe21
SHA1: 310757304a807da17d104f3f07950fd1bd56a7aa
SHA256: c4e77728ca84018e0f9e732891aa254f6ff5f403bdb09b91870f2d4f2f6231fe
SHA512: 70b0f35b48e4045a678d2a4f9abeec2e2818ed285ec7c4172c6f657698f42833e09e94ed9717b74e5e2e9904f4d1da3e0ebf0775217218977ebc34f48ca6a023
Homepage: https://cran.r-project.org/package=cgmanalysis
Description: CRAN Package 'cgmanalysis' (Clean and Analyze Continuous Glucose Monitor Data)
 This code provides several different functions for cleaning and analyzing
 continuous glucose monitor data. Currently it works with 'Dexcom', 'iPro 2',
 'Diasend', 'Libre', or 'Carelink' data. The cleandata() function takes a
 directory of CGM data files and prepares them for analysis. cgmvariables()
 iterates through a directory of cleaned CGM data files and produces a single
 spreadsheet with data for each file in either rows or columns. The column
 format of this spreadsheet is compatible with REDCap data upload.
 cgmreport() also iterates through a directory of cleaned data, and produces
 PDFs of individual and aggregate AGP plots. Please visit
 <https://github.com/childhealthbiostatscore/R-Packages/> to download the
 new-user guide.

Package: r-cran-cgmquantify
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyverse, r-cran-ggplot2, r-cran-hms, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cgmquantify_0.1.0-1.ca2004.1_all.deb
Size: 59920
MD5sum: 92b9c8f8565e654454cb5dabf8562d58
SHA1: a001986dd96c589c12aea3ac168e57d154092d33
SHA256: 69b20f5e3f12f8bc13f7c1ce0ebb0c516b659b4d43e890dcd0d59f783c0bfd9e
SHA512: 6987946148a66a9fd759fdf708b4797c4acd32a21c998a1b4b09d64e9f7c8c699d9f7d088410503796e48cbd004b28a3ed86b53f61349072b53efaa10d1a65dc
Homepage: https://cran.r-project.org/package=cgmquantify
Description: CRAN Package 'cgmquantify' (Analyzing Glucose and Glucose Variability)
 Continuous glucose monitoring (CGM) systems provide real-time, dynamic
 glucose information by tracking interstitial glucose values throughout the
 day. Glycemic variability, also known as glucose variability, is an
 established risk factor for hypoglycemia (Kovatchev) and has been shown to
 be a risk factor in diabetes complications.  Over 20 metrics of glycemic
 variability have been identified.  Here, we provide functions to calculate
 glucose summary metrics, glucose variability metrics (as defined in clinical
 publications), and visualizations to visualize trends in CGM data.  Cho P,
 Bent B, Wittmann A, et al. (2020)
 <https://diabetes.diabetesjournals.org/content/69/Supplement_1/73-LB.abstract>
 American Diabetes Association (2020)
 <https://professional.diabetes.org/diapro/glucose_calc> Kovatchev B (2019)
 <doi:10.1177/1932296819826111> Kovdeatchev BP (2017)
 <doi:10.1038/nrendo.2017.3> Tamborlane W V., Beck RW, Bode BW, et al. (2008)
 <doi:10.1056/NEJMoa0805017> Umpierrez GE, P. Kovatchev B (2018)
 <doi:10.1016/j.amjms.2018.09.010>.

Package: r-cran-cgnm
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cgnm_0.9.1-1.ca2004.1_all.deb
Size: 569648
MD5sum: 9bce31d7dcb66ba69724932e58775813
SHA1: fe77faa56c47e3c141f3a347a3b20cb5a34dc0f0
SHA256: 8bedaebd3476840ac8c28f0461f19b0f7e36f8c33f7fcd8423ea396d9f5b00b3
SHA512: d3138c57c20f6327ce26810b0509d4adf4340b2ffaf3f1ee64888bdc1c88a74d3a0ecab7de8add514cda044fa02aa0e11658ff8aac83f0181a138944eba56ba0
Homepage: https://cran.r-project.org/package=CGNM
Description: CRAN Package 'CGNM' (Cluster Gauss-Newton Method)
 Find multiple solutions of a nonlinear least squares problem.  Cluster
 Gauss-Newton method does not assume uniqueness of the solution of the
 nonlinear least squares problem and compute multiple minimizers. Please cite
 the following paper when this software is used in your research: Aoki et al.
 (2020) <doi:10.1007/s11081-020-09571-2>. Cluster Gauss–Newton method.
 Optimization and Engineering, 1-31.  Please cite the following paper when
 profile likelihood plot is drawn with this software and used in your
 research: Aoki and Sugiyama (2024) <doi:10.1002/psp4.13055>. Cluster
 Gauss-Newton method for a quick approximation of profile likelihood: With
 application to physiologically-based pharmacokinetic models. CPT
 Pharmacometrics Syst Pharmacol.13(1):54-67.

Package: r-cran-cgp
Architecture: all
Version: 2.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cgp_2.1-1-1.ca2004.1_all.deb
Size: 47068
MD5sum: 5346fe4616d303ea2878c2a0466144b9
SHA1: 3be1dbedfb217af61b628df82210fe8e934f9834
SHA256: b167aadcc3b929a36e82d98673e5d9d4ca9ef26f4d4b4e6ccf8a07348750d142
SHA512: 56d048ecaf79d5c7ad528729c5dfbeb70358a034e3b285858a73f15bc10ed919a0b2f143e87d04901525b7a179e54c86e898fa514e8bd41cd44a0addbef1a9a0
Homepage: https://cran.r-project.org/package=CGP
Description: CRAN Package 'CGP' (Composite Gaussian Process Models)
 Fit composite Gaussian process (CGP) models as described in Ba and Joseph
 (2012) "Composite Gaussian Process Models for Emulating Expensive
 Functions", Annals of Applied Statistics. The CGP model is capable of
 approximating complex surfaces that are not second-order stationary.
 Important functions in this package are CGP, print.CGP, summary.CGP,
 predict.CGP and plotCGP.

Package: r-cran-cgpfunctions
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2949
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesfactor, r-cran-desctools, r-cran-dplyr, r-cran-forcats, r-cran-ggmosaic, r-cran-ggplot2, r-cran-ggrepel, r-cran-paletteer, r-cran-partykit, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-sjstats, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-bsda, r-cran-ggthemes, r-cran-hrbrthemes, r-cran-janitor, r-cran-knitr, r-cran-lsr, r-cran-magrittr, r-cran-productplots, r-cran-pwr, r-cran-rmarkdown, r-cran-stringi, r-cran-tibble, r-cran-testthat, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-cgpfunctions_0.6.3-1.ca2004.1_all.deb
Size: 1824576
MD5sum: 1682bb0d7b1f6a96db4293109fb4dc29
SHA1: ab5dba504cbbd3e3e1e8563c95da291d7eb34974
SHA256: 04d0529922ae4ea810ca914a087f303038f86da7748946825fcba453bcf2ad45
SHA512: 04d5e7fcf93e682e470014bf5649fa4dd6a6ab6e7606237eb9e9c49f8f6f0a954fe44cdf93e4715a87392280baf9dd1a140d4f931d500641dadb152896231804
Homepage: https://cran.r-project.org/package=CGPfunctions
Description: CRAN Package 'CGPfunctions' (Powell Miscellaneous Functions for Teaching and LearningStatistics)
 Miscellaneous functions useful for teaching statistics as well as actually
 practicing the art. They typically are not new methods but rather wrappers
 around either base R or other packages.

Package: r-cran-cgr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cgr_0.1.0-1.ca2004.1_all.deb
Size: 11112
MD5sum: 6d80550d6baac8bddcea74e25422392e
SHA1: 9bcf3632dad6d45852dbdf54b82bc343ed539b0e
SHA256: d3b7fe1200f00f5b4e6362edd017860e3b92df9637e820bc98d0d1e6166cd7e4
SHA512: 88383b14a71152b19175687861bf35322cbdc201e485b5c5720169e778ef780c90e7e98f5101028e7ea3c020dba448cee0b1a1ed611c636780cfae0cf9f52912
Homepage: https://cran.r-project.org/package=CGR
Description: CRAN Package 'CGR' (Compound Growth Rate for Capturing the Growth Rate Over thePeriod)
 The compound growth rate indicates the percentage change of a specific
 variable over a defined period. It is calculated using non-linear models,
 particularly the exponential model. To estimate the compound growth rates,
 the growth model is first converted to semilog form and then analyzed using
 Ordinary Least Squares (OLS) regression. This package has been developed
 using concept of Shankar et al. (2022)<doi:10.3389/fsufs.2023.1208898>.

Package: r-cran-cgrcusum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cgrcusum_0.1.0-1.ca2004.1_all.deb
Size: 218888
MD5sum: 3f63ae45833f2704c729e6d78e072e66
SHA1: 3113eed0f850a607bdd2d5fe9527b46226685d7f
SHA256: 54e48dc69b7712c791d7cb6d48a98df4ef1b69a9fe7529bed89cb3c67b500e98
SHA512: 5d2f7e55b7d3904f7fa421d37ae69e6dbcfe6422920533d77a99e260dfa9e5774b11c159043689aa7f7d30ea3d819fa3617f8d37bbd99da1995fbec52368c70f
Homepage: https://cran.r-project.org/package=cgrcusum
Description: CRAN Package 'cgrcusum' (Continuous Time Generalized Rapid Response CUSUM)
 Allows users to construct the Continuous Time Generalized Rapid Response
 CUSUM (CGR-CUSUM), Biswas & Kalbfleisch (2008) <doi:10.1002/sim.3296> CUSUM,
 Binary CUSUM and risk-adjusted funnel plot for survival data. These
 procedures can be used to monitor survival processes and detect problems in
 their quality.

Package: r-cran-cgwtools
Architecture: all
Version: 4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-cgwtools_4.1-1.ca2004.1_all.deb
Size: 129072
MD5sum: 5523a96c9392f45df0a851d2e0e20a48
SHA1: 8cafdac09ce089af1934215cdeef89b78d3a74ae
SHA256: a895c3201fdcedaccf55de1ab354091f96f50db9a686496d4bc403d39854c5fa
SHA512: a64b75deea83f7be22554e3e1df18ca63ecabbaae5e1c2b426c50c9f647f85a17a94a8ff7d29f880e845b1a9339c335b7774c922c2d8a7a5a392f1a0bc76d7b8
Homepage: https://cran.r-project.org/package=cgwtools
Description: CRAN Package 'cgwtools' (Miscellaneous Tools)
 Functions for performing quick observations or evaluations of data,
 including a variety of ways to list objects by size, class, etc.  The
 functions 'seqle' and 'reverse.seqle' mimic the base 'rle' but can search
 for linear sequences. The function 'splatnd' allows the user to generate
 zero-argument commands without the need for 'makeActiveBinding' .  Functions
 provided to convert from any base to any other base, and to find the n-th
 greatest max or n-th least min.  In addition, functions which mimic Unix
 shell commands, including 'head', 'tail' ,'pushd' ,and 'popd'. Various other
 goodies included as well.

Package: r-cran-ch
Architecture: all
Version: 0.1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-clipr, r-cran-ryacas, r-cran-magrittr, r-cran-mass, r-cran-crayon, r-cran-polynom, r-cran-pracma
Suggests: r-cran-scales
Filename: pool/dists/focal/main/r-cran-ch_0.1.0.2-1.ca2004.1_all.deb
Size: 68376
MD5sum: 6752c817cb17f29adf6513757b001d06
SHA1: 29bea6ecd8fd6540b54f308f27ddb8fe7b0d4805
SHA256: b16555558df33e5cfbbcb88896b231d7aeae8705e6b6664754f3230da4720a6e
SHA512: 0135b6e65562bdaa6f40c5b2851cd10167134d67b1219826f5c51ccfbb816e25b8027f3c0ebf8fcba88a2a4cd6864e13ac3eb35986844d113d491ae2f4d8e509
Homepage: https://cran.r-project.org/package=ch
Description: CRAN Package 'ch' (About some Small Functions)
 The solution to some common problems is proposed, as well as a summary of
 some small functions. In particular, it provides a useful function for some
 problems in chemistry.  For example, monoa(), monob() and mono() function
 can be used to calculate The pH of weak acid/base.  The ggpng() function can
 save the PNG format with transparent background.  The period_table()
 function will show the periodic table. Also the show_ruler() function will
 show the ruler.  The show_color() function is funny and easier to show
 colors.  I also provide the symb() function to generate multiple symbols at
 once.  The csv2vcf() function provides an easy method to generate a file.
 The sym2poly() and sym2coef() function can extract coefficients from
 polynomials.

Package: r-cran-chainbinomial
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics
Suggests: r-cran-testthat, r-cran-numderiv, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chainbinomial_0.1.5-1.ca2004.1_all.deb
Size: 89108
MD5sum: e7222a203b695de976e651f4da3ebde9
SHA1: c5692f6bb7b608ccf318e850ed0d6b81257d36e9
SHA256: 4c03b6b4123ae9b2ac03185146823e42c2d994a690900d924208bb936846325d
SHA512: 59b43fbcdc4a68183f61233303b7f7215acaddf6298f61970272304ee8fd26e2e26bd46e59850871077bde8ae8139f9b750739bcbd2346ec8280f2858e7d1d74
Homepage: https://cran.r-project.org/package=chainbinomial
Description: CRAN Package 'chainbinomial' (Chain Binomial Models for Analysis of Infectious Disease Data)
 Implements the chain binomial model for analysis of infectious disease data.
 Contains functions for calculating probabilities of the final size of
 infectious disease outbreaks using the method from D. Ludwig (1975)
 <doi:10.1016/0025-5564(75)90119-4> and for outbreaks that are not concluded,
 from Lindstrøm et al. (2024) <doi:10.48550/arXiv.2403.03948>. The package
 also contains methods for estimation and regression analysis of secondary
 attack rates.

Package: r-cran-chainladder
Architecture: all
Version: 0.2.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3501
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-actuar, r-cran-lattice, r-cran-tweedie, r-cran-systemfit, r-cran-statmod, r-cran-cplm, r-cran-ggplot2, r-cran-mass
Suggests: r-cran-runit, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chainladder_0.2.20-1.ca2004.1_all.deb
Size: 2175268
MD5sum: b1eb75ade9d8d53cc10bbdee4f0e5a82
SHA1: 2f215c8c02a7ad3db1dffacb04e71c2a6289f4c6
SHA256: 952676307364f1c222844cab4e4be5fc64c47ad98dba6bdb9fd304a2c67d01d4
SHA512: fedf4c9bbbabf22341fb97fe1779ba851c3ae65e00009a2aa60bbb220bc6e014b71e266852b2d93fd1c00327effc128760a0a899c59be1cc6dc956cac68acd5b
Homepage: https://cran.r-project.org/package=ChainLadder
Description: CRAN Package 'ChainLadder' (Statistical Methods and Models for Claims Reserving in GeneralInsurance)
 Various statistical methods and models which are typically used for the
 estimation of outstanding claims reserves in general insurance, including
 those to estimate the claims development result as required under Solvency
 II.

Package: r-cran-chameleon
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-clue, r-cran-ggplot2, r-cran-umap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chameleon_0.2-3-1.ca2004.1_all.deb
Size: 150312
MD5sum: 410c120644c9b8af73856ce708bde3f1
SHA1: 510f58c91582cbd19b99875f3e87241e32f88345
SHA256: 1367ba02a950a8fb6155089e174a8970123d3df2a6b2a286e522bdca4c107ea9
SHA512: 14542bec1e0fb93ac965d47c564bb033441b8dab8250a1abd3530f6250d8860d68e21a99d105b77a65f2c8c1e1782db9f896f0640c9f6765bea7679ac5a5f1f0
Homepage: https://cran.r-project.org/package=chameleon
Description: CRAN Package 'chameleon' (Automatic Colors for Multi-Dimensional Data)
 Assign distinct colors to arbitrary multi-dimensional data, considering its
 structure.

Package: r-cran-chandwich
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chandwich_1.1.6-1.ca2004.1_all.deb
Size: 240516
MD5sum: 572f930b27dd6e788d266ebd2d9f7a9e
SHA1: c709e138424841ab440848c4834505d57cae4015
SHA256: df83eaefc91d58e0c6ec9ce4a6b7f34a15ca820a0f23ec1c10619a9e4cbf3dd6
SHA512: 0bb682c5e9020efe0bd65d43c0e4aa2c209c4e9df2a0ea3b0eebe05515f419abb1163df7ee11853c1576dd98df77de77d56ea3cf0e92327555a93f16ee5a9c2b
Homepage: https://cran.r-project.org/package=chandwich
Description: CRAN Package 'chandwich' (Chandler-Bate Sandwich Loglikelihood Adjustment)
 Performs adjustments of a user-supplied independence loglikelihood function
 using a robust sandwich estimator of the parameter covariance matrix, based
 on the methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>.
 This can be used for cluster correlated data when interest lies in the
 parameters of the marginal distributions or for performing inferences that
 are robust to certain types of model misspecification.  Functions for
 profiling the adjusted loglikelihoods are also provided, as are functions
 for calculating and plotting confidence intervals, for single model
 parameters, and confidence regions, for pairs of model parameters.  Nested
 models can be compared using an adjusted likelihood ratio test.

Package: r-cran-changedetection
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-l1pack, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-changedetection_0.2.0-1.ca2004.1_all.deb
Size: 78772
MD5sum: b65dd9fb40a0cb8ed720fd8cbcf194cc
SHA1: c219e4b46cddfaa58d460455784cd8e3457c2c60
SHA256: 223ec91b3679e9724daa38d07a1171c6b357638ca84c64543c34e59c4b6360be
SHA512: eb677560c7c38d481c3c52fe523df30f073e94a8c092b9c58034be5624c20af03a52357aff0e3f933cf35b05a82ca694d1b848f94dea15da0621483ed48ea16e
Homepage: https://cran.r-project.org/package=changedetection
Description: CRAN Package 'changedetection' (Nonparametric Change Detection in Multivariate LinearRelationships)
 Contains implementation of the Nonparametric Splitting Algorithm (NSA),
 which estimates a set of structural change points (change dates) within a
 multivariate time-wise linear regression. Additionally, it contains utility
 functions to estimate corresponding changing linear model, moving energy
 distance and a change-detection test. For more information, see Malo et. al
 (2019) <arXiv:1805.08512v2>.

Package: r-cran-changepoint.geo
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-changepoint, r-cran-changepoint.np, r-cran-ggplot2, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-changepoint.geo_1.0.2-1.ca2004.1_all.deb
Size: 259704
MD5sum: 8cd21bc8c215d924a464c271c8f4aa5e
SHA1: bd621b7fd98bcc5a0dd567ecb76e49f5a7f4f24f
SHA256: e2f2ff4ca524b5e7a0e4b7c1d5b7b3d5654543d490c162090f8d73fb1daa3fe3
SHA512: bdb7dd031530618e72d992cae3f24e5b464f4f3e0e8a086d385d22e52965a17cee0c5c8e071d550d069ec317e04837e48e5c66dcee773b0c69c60ed3abd572c5
Homepage: https://cran.r-project.org/package=changepoint.geo
Description: CRAN Package 'changepoint.geo' (Geometrically Inspired Multivariate Changepoint Detection)
 Implements the high-dimensional changepoint detection method GeomCP and the
 related mappings used for changepoint detection. These methods view the
 changepoint problem from a geometrical viewpoint and aim to extract relevant
 geometrical features in order to detect changepoints. The geomcp() function
 should be your first point of call. References: Grundy et al. (2020)
 <doi:10.1007/s11222-020-09940-y>.

Package: r-cran-changepoint.influence
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-changepoint, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-changepoint.influence_1.0.2-1.ca2004.1_all.deb
Size: 98164
MD5sum: aad227393519a2d1f779e492ae1e194d
SHA1: 1cb76df20fa3a83f00327f01d7393da9be724641
SHA256: 6838998e85fb06e6428df98bc322037d70cb24150fbd37db2a493c44838c3b80
SHA512: 7cc915336ee585b34ec83b762b205dec20430cf0ea91d719e82a795253f5d394e0fff87a517e5cee8388595bab7f777626f16b492e921782c25f7701e6e45fd1
Homepage: https://cran.r-project.org/package=changepoint.influence
Description: CRAN Package 'changepoint.influence' (Package to Calculate the Influence of the Data on a ChangepointSegmentation)
 Allows users to input their data, segmentation and function used for the
 segmentation (and additional arguments) and the package calculates the
 influence of the data on the changepoint locations, see Wilms et al. (2022)
 <doi:10.1080/10618600.2021.2000873>.  Currently this can only be used with
 the changepoint package functions to identify changes, but we plan to extend
 this.  There are options for different types of graphics to assess the
 influence.

Package: r-cran-changepointsvar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-lars
Filename: pool/dists/focal/main/r-cran-changepointsvar_0.1.1-1.ca2004.1_all.deb
Size: 43900
MD5sum: f21b77bc43855042bc5f97854f6bb6bc
SHA1: 1de920b4c9c55626485b90fe86cd329d7ea84c5f
SHA256: dbf1c066fd3d30068efe65122b10620db647318bbaa2e945c4a346314452ff3c
SHA512: 071baa8c9aa8ad79fbc51e495a517999957c4ecec891ed39b346a310a43221922083cdf4c26a77e57b63b27bd31bbfda2aacb303e5b18ae8c4488d8ebcc32bc7
Homepage: https://cran.r-project.org/package=changepointsVar
Description: CRAN Package 'changepointsVar' (Change-Points Detections for Changes in Variance)
 Detection of change-points for variance of heteroscedastic Gaussian
 variables with piecewise constant variance function. Adelfio, G. (2012),
 Change-point detection for variance piecewise constant models,
 Communications in Statistics, Simulation and Computation, 41:4, 437-448,
 <doi:10.1080/03610918.2011.592248>.

Package: r-cran-changepointtesting
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-changepointtesting_1.2-1.ca2004.1_all.deb
Size: 165180
MD5sum: 6b96d5231c3a618f7b55b32972418364
SHA1: 521711da4a1346f1dbb1592381868f6862c708c0
SHA256: fd896660732634823b4c152cd4a7b546c27789e8e10d18f1edb65fdf583164f8
SHA512: 0fad55c0805af6d68a2e2850586bac5a8dce5932a89bd5674a53ba708ca94f1851f6f485e9ae84b5eb06f9c492707e6847b3e5cb1e43ccc29211ad5a5bb7e6cf
Homepage: https://cran.r-project.org/package=ChangepointTesting
Description: CRAN Package 'ChangepointTesting' (Change Point Estimation for Clustered Signals)
 A multiple testing procedure for clustered alternative hypotheses.  It is
 assumed that the p-values under the null hypotheses follow U(0,1) and that
 the distributions of p-values from the alternative hypotheses are
 stochastically smaller than U(0,1). By aggregating information, this method
 is more sensitive to detecting signals of low magnitude than standard
 methods. Additionally, sporadic small p-values appearing within a null
 hypotheses sequence are avoided by averaging on the neighboring p-values.

Package: r-cran-changer
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-available, r-cran-devtools, r-cran-git2r
Filename: pool/dists/focal/main/r-cran-changer_0.0.5-1.ca2004.1_all.deb
Size: 20024
MD5sum: 4b5099619481b07d6fd6379ea0a882a8
SHA1: b8505a7cfceff9f989db8dd17e7f942fefbade72
SHA256: 3bcb9878693dbea03b0121d4c4d9e6ef6e756fb6ac0ef7e7a4ab2a8ed25a07b5
SHA512: 0bac96a4e2ef9beb25e769f7c6fbe2baad6947eb21c04469fa2e5204d39a9edf5171577c0e1b60187b4b6a8ff115d3187e06756d7644a3eb972c3167843f7480
Homepage: https://cran.r-project.org/package=changer
Description: CRAN Package 'changer' (Change R Package Name)
 Changing the name of an existing R package is annoying but common task
 especially in the early stages of package development. This package (mostly)
 automates this task.

Package: r-cran-changeranger
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5021
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-phylobase, r-cran-raster, r-cran-dplyr, r-cran-rangemodelmetadata, r-cran-sf, r-cran-sp
Suggests: r-cran-ape, r-cran-tidyverse, r-cran-rmarkdown, r-cran-testthat, r-cran-tinytex, r-cran-knitr, r-cran-picante, r-cran-wallace, r-cran-r.utils, r-cran-dismo
Filename: pool/dists/focal/main/r-cran-changeranger_1.1.0-1.ca2004.1_all.deb
Size: 1764388
MD5sum: 879b0aa8f73dfd88860f67dbefec8f6b
SHA1: fd3271f95b3dc0b895c4ff88ab42c86b0dffa781
SHA256: b4bebc13e021fbf9eb1538ac2a9adbcca71a2941b7e9b8cbab5f65c7a08de453
SHA512: 580b0e1b9f477751edc6d05dcd94a40532852ddcb9d8511703345d514d33253351a84839f7901cffae0be00414abfd7af6735d6b004721f4e6ecc92a1d3eb862
Homepage: https://cran.r-project.org/package=changeRangeR
Description: CRAN Package 'changeRangeR' (Change Metrics for Species Geographic Ranges)
 Facilitates workflows to reproducibly transform estimates of species’
 distributions into metrics relevant for conservation. For example, combining
 predictions from species distribution models with other maps of
 environmental data to characterize the proportion of a species’ range that
 is under protection, calculating metrics used under the International Union
 for Conservation of Nature (IUCN) Criteria A and B guidelines (Area of
 Occupancy and Extent of Occurrence), and calculating more general metrics
 such as taxonomic and phylogenetic diversity, as well as endemism. Also
 facilitates temporal comparisons among biodiversity metrics to inform
 efforts towards complementarity and consideration of future scenarios in
 conservation decisions. 'changeRangeR' also provides tools to determine the
 effects of modeling decisions through sensitivity tests.

Package: r-cran-changes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nls.multstart, r-cran-ggplot2, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-changes_1.0.1-1.ca2004.1_all.deb
Size: 101432
MD5sum: e82597d74a949b61500389b452b23f46
SHA1: 0cd284517cda274c79c2a91d132626217f33d87d
SHA256: 95711016967f1a4a54d3aa0f3a5ea7b95db5bc80e19ac9ef5fdc169aa5abed44
SHA512: f2b4c5d736e999c34962269ae6219131f394b4da14a33fdb3f094d0b2c25a499a967e0f1aac94535a6c790a17485afe0e436eb04aaf8b4f0fc78ad2510ebcb19
Homepage: https://cran.r-project.org/package=changeS
Description: CRAN Package 'changeS' (S-Curve Fit for Changepoint Analysis)
 Estimation of changepoints using an "S-curve" approximation. Formation of
 confidence intervals for changepoint locations and magnitudes. Both abrupt
 and gradual changes can be modeled.

Package: r-cran-channelattributionapp
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-channelattribution, r-cran-shiny, r-cran-data.table, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-channelattributionapp_1.3-1.ca2004.1_all.deb
Size: 124732
MD5sum: 40eb3f8d1c4c307a006e3d458c5a04ec
SHA1: 2267cce0a4f74e8759ee591e55f618308f1b6832
SHA256: 14b7b4fba6bd21c93e3d8cfab3c8fd8e2cdec76e0b16404f364607941d9c119e
SHA512: c4b8e99437cc4b4bfa8ccf29ff6d9de5ac76b2dc6e01a28d4df01fd6b81ce2c751f7c38ff761a93224724695e2652f23d9a9d54f70e1a151c38b3518da85888b
Homepage: https://cran.r-project.org/package=ChannelAttributionApp
Description: CRAN Package 'ChannelAttributionApp' (Shiny Web Application for the Multichannel Attribution Problem)
 Shiny Web Application for the Multichannel Attribution Problem. It is a
 user-friendly graphical interface for package 'ChannelAttribution'.

Package: r-cran-chantrics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-chandwich, r-cran-sandwich, r-cran-lmtest, r-cran-rlang, r-cran-progress, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lax, r-cran-covr, r-cran-mass, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-chantrics_1.0.0-1.ca2004.1_all.deb
Size: 439568
MD5sum: 8118380edabcaef65970450d61ca611f
SHA1: efe132baeb13dbf467bf75a553750c81b97cfc72
SHA256: e35b45988bb2e63d8b581426f75f203824e8ed11e147319730486948d9c60c96
SHA512: 265425e2228caa5307cb94ca5f8a0f8184964a8151724419a079d2c16353f932344363cbb8aad989e13ea02be42c365108afe7ebe56a31cc4116f021f62e39b0
Homepage: https://cran.r-project.org/package=chantrics
Description: CRAN Package 'chantrics' (Loglikelihood Adjustments for Econometric Models)
 Adjusts the loglikelihood of common econometric models for clustered data
 based on the estimation process suggested in Chandler and Bate (2007)
 <doi:10.1093/biomet/asm015>, using the 'chandwich' package
 <https://cran.r-project.org/package=chandwich>, and provides convenience
 functions for inference on the adjusted models.

Package: r-cran-chaosgame
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl, r-cran-colorramps, r-cran-ggplot2, r-cran-gridextra, r-cran-plot3d, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-chaosgame_1.4-1.ca2004.1_all.deb
Size: 91352
MD5sum: cdf33825938974502f7ede8535ec070a
SHA1: 4eb7a6e5dbf505a2c77223582f3f712be57d78f1
SHA256: 37ac5d0d9598eaf3b61299cce2a556e94a676a6e832b7bde8967d37a5df30326
SHA512: f8aced80d1e18195928ac7869bca7845602e8fa818fd17ddd4ff89c7cefd4122a07fb2bc2e6123757c1c370ec12baa373d4572bf4af735774d5db55a21aa287a
Homepage: https://cran.r-project.org/package=ChaosGame
Description: CRAN Package 'ChaosGame' (Chaos Game)
 The main objective of the package is to enter a word of at least two letters
 based on which an Iterated Function System with Probabilities is
 constructed, and a two-dimensional fractal containing the chosen word
 infinitely often is generated via the Chaos Game. Additionally, the package
 allows to project the two-dimensional fractal on several three-dimensional
 surfaces and to transform the fractal into another fractal with uniform
 marginals.

Package: r-cran-characterization
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4150
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-andromeda, r-cran-databaseconnector, r-cran-featureextraction, r-cran-sqlrender, r-cran-parallellogger, r-cran-resultmodelmanager, r-cran-checkmate, r-cran-dplyr, r-cran-readr, r-cran-rlang
Suggests: r-cran-devtools, r-cran-testthat, r-cran-kableextra, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-ohdsishinyappbuilder, r-cran-shiny, r-cran-withr
Filename: pool/dists/focal/main/r-cran-characterization_2.1.3-1.ca2004.1_all.deb
Size: 3574696
MD5sum: 98fee020a602348cac39901cc509b9e5
SHA1: d24af82e0f57958d8e304db920d1eae8c7b58efc
SHA256: c546cec17a405aa818496fff63b3757eb5de843329960c332818baec62f7fe3d
SHA512: 142daf5ffc29ba46a1cef575eaa0842cc024551e61ccf5cf48d36e1f530b03b7964bcc6beb5699547dcd77180464664419b67341d16a49abd2c5a12402362968
Homepage: https://cran.r-project.org/package=Characterization
Description: CRAN Package 'Characterization' (Implement Descriptive Studies Using the Common Data Model)
 An end-to-end framework that enables users to implement various descriptive
 studies for a given set of target and outcome cohorts for data mapped to the
 Observational Medical Outcomes Partnership Common Data Model.

Package: r-cran-charcuterie
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-charcuterie_0.0.6-1.ca2004.1_all.deb
Size: 318516
MD5sum: 39715d4cc61dc0714ea28947e082a509
SHA1: b49820378506815e4d351b284bc9692d17d87606
SHA256: d1505ddb49c6f32d4a0291b7799dde4ab81e2673edbb78f5cfd11a8a85f2d618
SHA512: b182e58c2a7c25a9d47af5b57c55826da58b3190ed9526d6757a776bb1a05bc94f47e8374440514e7cf8ff0043b31f892bf94b04dc68af51c06e0eb1d7f7e011
Homepage: https://cran.r-project.org/package=charcuterie
Description: CRAN Package 'charcuterie' (Handle Strings as Vectors of Characters)
 Creates a new chars class which looks like a string but is actually a vector
 of individual characters, making 'strings' iterable. This class enables
 vector operations on 'strings' such as reverse, sort, head, and set
 operations.

Package: r-cran-charlatan
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-tibble, r-cran-whisker
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ipaddress, r-cran-stringi, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-charlatan_0.6.1-1.ca2004.1_all.deb
Size: 4455196
MD5sum: 6f908564e02249d8275046317c42af9e
SHA1: a62c0b2cf806d74e4d9701af19c4d0878f4b6b94
SHA256: 213229ca95f65b963bb0a1779e63613e6ff719c17bcc28a4fc45172b9d23bd55
SHA512: 684868511d1aa2705b2e0acb7720e0063fddbe72475fef6052a8521e9a27721ea80a85df80b84b3e074a472a60f3746a44a1c2cef7ce63da4b431f77dbe07f01
Homepage: https://cran.r-project.org/package=charlatan
Description: CRAN Package 'charlatan' (Make Fake Data)
 Make fake data that looks realistic, supporting addresses, person names,
 dates, times, colors, coordinates, currencies, digital object identifiers
 ('DOIs'), jobs, phone numbers, 'DNA' sequences, doubles and integers from
 distributions and within a range.

Package: r-cran-charlesschwabapi
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-lubridate, r-cran-stringr, r-cran-purrr, r-cran-tidyr, r-cran-anytime, r-cran-dplyr, r-cran-openssl
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-charlesschwabapi_1.0.4-1.ca2004.1_all.deb
Size: 114984
MD5sum: 16a4d1a915519d4defcfe021deb8081f
SHA1: fee6707a87bbceef0d00eb9274adb524050db0e5
SHA256: ab23a81cd42ffa4cebea4e071810cd23e4e9bea01f23dd0a1561e0870080d5ef
SHA512: aac40e9edb3dccf8d504cdd6bc7a52b829e2b6cc546101716c1e625fc2f078f198090751184d813eeb5172c8df73fc97b7b68fce61c349da56000a7ec98ac986
Homepage: https://cran.r-project.org/package=charlesschwabapi
Description: CRAN Package 'charlesschwabapi' (Wrapper Functions Around 'Charles Schwab Individual Trader API')
 For those wishing to interact with the 'Charles Schwab Individual Trader
 API' (<https://developer.schwab.com/products/trader-api--individual>) with R
 in a simplified manner, this package offers wrapper functions around
 authentication and the available API calls to streamline the process.

Package: r-cran-chartql
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-chartql_0.1.0-1.ca2004.1_all.deb
Size: 33224
MD5sum: 7875bacbf0fa9f8aaff96f910b2678bd
SHA1: 69568b09f0938e7231245f6f7d818c0ed5ba2f03
SHA256: 1a0355d7f48c834782606acedf5e081501cf2fbacf97b0cb6352948f4fc4f097
SHA512: 981b413cbf35410321a044d82de41695da3551d129ffc0cc71b44517ab22642e11e9c570ad5811623027c0cddac3802dd993236a7999bd1551e70be1d5cab961
Homepage: https://cran.r-project.org/package=chartql
Description: CRAN Package 'chartql' (Simplified Language for Plots and Charts)
 Provides a very simple syntax for the user to generate custom plot(s)
 without having to remember complicated 'ggplot2' syntax. The 'chartql'
 package uses 'ggplot2' and manages all the syntax complexities internally.
 As an example, to generate a bar chart of company sales faceted by product
 category further faceted by season of the year, we simply write: "CHART bar
 X category, season Y sales".

Package: r-cran-chartreview
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-anesrake, r-cran-weights
Filename: pool/dists/focal/main/r-cran-chartreview_1.0-1.ca2004.1_all.deb
Size: 41768
MD5sum: ef363d2d974a6481d3d455178dd60fbf
SHA1: cabfdba51cb2b47eb556b4962e27c7aa8b3d0925
SHA256: 646151ce71ca7321b12a329c792986858cbc741eb7a290910e1a7f2a1bd78f27
SHA512: d8b94cbeb66c05c8b89696eb551705fc5d8a5179658e60dbea480f1bda4faa5beb037d34343884cc035d6d9486f664bc1a84e39cb13a58827afcf00015bc5af8
Homepage: https://cran.r-project.org/package=chartreview
Description: CRAN Package 'chartreview' (Adaptive Multi-Wave Sampling for Efficient Chart Validation)
 Functionality to perform adaptive multi-wave sampling for efficient chart
 validation. Code allows one to define strata, adaptively sample using
 several types of confidence bounds for the quantity of interest (Lai's
 confidence bands, Bayesian credible intervals, normal confidence intervals),
 and sampling strategies (random sampling, stratified random sampling,
 Neyman's sampling, see Neyman (1934) <doi:10.2307/2342192> and Neyman (1938)
 <doi:10.1080/01621459.1938.10503378>).

Package: r-cran-chatai4r
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-assertthat, r-cran-clipr, r-cran-crayon, r-cran-rstudioapi, r-cran-future, r-cran-igraph, r-cran-deeprstudio, r-cran-pdftools, r-cran-xml2, r-cran-rvest, r-cran-curl, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-chatai4r_0.3.6-1.ca2004.1_all.deb
Size: 2255632
MD5sum: b3853753a224db62c6790c2942e39ba0
SHA1: 9131acbb3cbb1746918274069d3b58925b439316
SHA256: c10e098b8e5f4396f2ea71117b81fc21bd28f617978ca33937e47120d6f93ce5
SHA512: 9c4b5870d0d987e6cde118b42470efc27f84a08b145438b5b294144d36e4f78b96c52cd347162250ea25228338d8797673727fe1563e8c46ec1e5a02025040f9
Homepage: https://cran.r-project.org/package=chatAI4R
Description: CRAN Package 'chatAI4R' (Chat-Based Interactive Artificial Intelligence for R)
 The Large Language Model (LLM) represents a groundbreaking advancement in
 data science and programming, and also allows us to extend the world of R.
 A seamless interface for integrating the 'OpenAI' Web APIs into R is
 provided in this package.  This package leverages LLM-based AI techniques,
 enabling efficient knowledge discovery and data analysis (see 'OpenAI' Web
 APIs details <https://openai.com/blog/openai-api>).  The previous functions
 such as seamless translation and image generation have been moved to other
 packages 'deepRstudio' and 'stableDiffusion4R'.

Package: r-cran-chatgpt
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clipr, r-cran-httr, r-cran-jsonlite, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-chatgpt_0.2.3-1.ca2004.1_all.deb
Size: 144924
MD5sum: 9837da83bde131a67e11ff54dc71c4b1
SHA1: bfda83fd12b0aeb528ccfe833e8ba6c833bb4eb6
SHA256: 81b74e472d2e6588e2e262a11ce6c1f57f7c6af77977c877544d5532fc8fbcd3
SHA512: bcaba6998b87eb79af144c668fc434b40e12b0cc551fe7d5555f8d6d5b9da085e822adcf3e6c92e5ab1df8bb05cfcd8ee664d90ad4d42d8b964e7e5c3d501b07
Homepage: https://cran.r-project.org/package=chatgpt
Description: CRAN Package 'chatgpt' (Interface to 'ChatGPT' from R)
 'OpenAI's 'ChatGPT' <https://chat.openai.com/> coding assistant for
 'RStudio'. A set of functions and 'RStudio' addins that aim to help the R
 developer in tedious coding tasks.

Package: r-cran-chatllm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1340
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-future, r-cran-promises, r-cran-later, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-chatllm_0.1.2-1.ca2004.1_all.deb
Size: 1307944
MD5sum: c95d2f2e1b105a8c3c62afb32c49f2e2
SHA1: 1be3f6b9d7e9a9b48e6e45fe6fbc2b5ee77175cb
SHA256: 29ae76032e23f067fe86214fc09e3f3d8941bc1c00cc326511a1934514cb715f
SHA512: bdceff9274c8f209d306d377c5dc7686be12e18c875206e1dd938b41125e1f8ac46da5907c82f28ea2e8f5b7f2f3535e10843a68faea97dda4cbfcbe781795ff
Homepage: https://cran.r-project.org/package=chatLLM
Description: CRAN Package 'chatLLM' (A Flexible Interface for 'LLM' API Interactions)
 Provides a flexible interface for interacting with Large Language Model
 ('LLM') providers including 'OpenAI', 'Groq', 'Anthropic', 'DeepSeek',
 'DashScope', and 'GitHub Models'. Supports both synchronous and asynchronous
 chat-completion APIs, with features such as retry logic, dynamic model
 selection, customizable parameters, and multi-message conversation handling.
 Designed to streamline integration with state-of-the-art LLM services across
 multiple platforms.

Package: r-cran-chatrater
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openai, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chatrater_1.1.0-1.ca2004.1_all.deb
Size: 42792
MD5sum: da369eaa35432de1dad37d0291acae16
SHA1: f423940ee275cf6490e90ea2076dead0d5409f4c
SHA256: 9b91c276d3b8b78eba80f1eed5cd13189f93d36c8a6f8c85c5e46ef140f2c33d
SHA512: 0a9a03b5e8c40b3f34f11120adf71788e949bdf3bdc66a2def8fd30b7ac43c1317f3b7104c5ed12c01b3a46c16c8d6bcbbe8eb32f95c298af18f6b79eccea1a0
Homepage: https://cran.r-project.org/package=chatRater
Description: CRAN Package 'chatRater' (Rating and Evaluating Texts Using Large Language Models)
 Generates ratings and psycholinguistic metrics for textual stimuli using
 large language models.  It enables users to evaluate idioms and other
 language materials by combining context, prompts, and stimulus inputs.  It
 supports multiple LLM APIs (such as 'OpenAI', 'DeepSeek', 'Anthropic',
 'Cohere', 'Google PaLM', and 'Ollama') by allowing users to switch models
 with a single parameter. In addition to generating numeric ratings,
 'chatRater' provides functions for obtaining detailed psycholinguistic
 metrics including word frequency (with optional corpus input), lexical
 coverage (with customizable vocabulary size and test basis), Zipf metric,
 Levenshtein distance, and semantic transparency.

Package: r-cran-chattr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstudioapi, r-cran-lifecycle, r-cran-processx, r-cran-config, r-cran-ellmer, r-cran-purrr, r-cran-rlang, r-cran-bslib, r-cran-shiny, r-cran-clipr, r-cran-httr2, r-cran-yaml, r-cran-glue, r-cran-coro, r-cran-cli, r-cran-fs
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinytest2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-chattr_0.3.0-1.ca2004.1_all.deb
Size: 255844
MD5sum: 9ec007009f4619071dfd5a92638cdc23
SHA1: ebd44cedd553090a31fcb96d2b3a65e67d87db0f
SHA256: 3698d8927bf8df7ce63c398fd8847ffb36d811b62b1487bf98df32575d5c8a3e
SHA512: 9348b801e819791a22f64267dba14bdca698ee6f56faa67a0de9c61361c15d99eda262552636cf90966a84c9cb387d1b35667f18ede41694bea1c435cabb02a3
Homepage: https://cran.r-project.org/package=chattr
Description: CRAN Package 'chattr' (Interact with Large Language Models in 'RStudio')
 Enables user interactivity with large-language models ('LLM') inside the
 'RStudio' integrated development environment (IDE). The user can interact
 with the model using the 'shiny' app included in this package, or directly
 in the 'R' console. It comes with back-ends for 'OpenAI', 'GitHub'
 'Copilot', and 'LlamaGPT'.

Package: r-cran-chauboxplot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chauboxplot_1.0.0-1.ca2004.1_all.deb
Size: 18968
MD5sum: 66a8c97c4f3ddd0b54a7822aba8a9752
SHA1: 65f0c6ef837f3f9a5cd06983bfa15b7566a00b16
SHA256: 5468939a70d044538f7db7bb22b03ba6d0d3481b1720b380b155eb129e8420ee
SHA512: 03fbe8b4a017553b6ef5b0b93d64bb8de459375eedffefa8bf2ef852d28a85dea7fbba8368cc21a852cec1fe3ddf353833e6ce8d5675bdb5372d342169318873
Homepage: https://cran.r-project.org/package=ChauBoxplot
Description: CRAN Package 'ChauBoxplot' (Chauvenet-Type Boxplot)
 Provides a modified boxplot with a new fence coefficient determined by Lin
 et al. (2025). The traditional fence coefficient k=1.5 in Tukey's boxplot is
 replaced by a coefficient based on Chauvenet's criterion, as described in
 their formula (9). The new boxplot can be implemented in 'base R' with
 function chau_boxplot(), and in 'ggplot2' with function geom_chau_boxplot().

Package: r-cran-chcn
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-chcn_1.5-1.ca2004.1_all.deb
Size: 254168
MD5sum: 748ccd8a4be46960c80dfd6a7de4abe5
SHA1: 6b5f0bcd780415490f28a65590a0ca482582db67
SHA256: 45c8083ed345efe04476ef13479461991b01b64818ed82b170cb09510ce58172
SHA512: cb8af544954e1a5ebabf04fb700ce5c7a2d3359bc72db124ebc38d7c7dba9550c321e1d35c35064c1c74e797d7f20bcec5e943c4e8bf29af05664000cd5d26ac
Homepage: https://cran.r-project.org/package=CHCN
Description: CRAN Package 'CHCN' (Canadian Historical Climate Network)
 A compilation of historical through contemporary climate measurements
 scraped from the Environment Canada Website Including tools for scraping
 data, creating metadata and formating temperature files.

Package: r-cran-cheatsheet
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-git2r, r-cran-fs, r-cran-crayon, r-cran-cli, r-cran-purrr, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cheatsheet_0.1.2-1.ca2004.1_all.deb
Size: 105524
MD5sum: 948aff6ba69aae788bd17bf91f95c9fd
SHA1: b40bfe80b2367e2796768de222a9d8c89ef8532a
SHA256: f10a4fb4799d494faf2e64faf51d67b5dbfbca53bb250bddcd564ecbf274a057
SHA512: e518f6075d4e9d958ae0cf9b46cf6a61c791ac8d16b0a374f3f1bfef90bbaccd6b4fecb1950d0d380e10b1adc9cac03033482ad67bc6385bdbdbebc7046e1921
Homepage: https://cran.r-project.org/package=cheatsheet
Description: CRAN Package 'cheatsheet' (Download R Cheat Sheets Locally)
 A simple package to grab cheat sheets and save them to your local computer.

Package: r-cran-checkarg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1490
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-checkarg_0.1.0-1.ca2004.1_all.deb
Size: 825424
MD5sum: 948b5ab1c14a7a1fb221f408959b228b
SHA1: f3a7bcfd4fd41a161298fed2afe2bbb03b4010df
SHA256: 95ca84dcfb12309aa955068ca635a1ea730e411b5f36db3bea1cf8e3f3878d4a
SHA512: 3c32aaee03b66bc0ddacc0eb1219ad14cd5bf545c7fc85c538c88d4249aeff256b3d8ce0b9300eb56bf2746a06ec19602fe26f5e1dc2a0d00102695b863ba31c
Homepage: https://cran.r-project.org/package=checkarg
Description: CRAN Package 'checkarg' (Check the Basic Validity of a (Function) Argument)
 Utility functions that allow checking the basic validity of a function
 argument or any other value, including generating an error and assigning a
 default in a single line of code. The main purpose of the package is to
 provide simple and easily readable argument checking to improve code
 robustness.

Package: r-cran-checkdigit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-checkdigit_1.0.0-1.ca2004.1_all.deb
Size: 20176
MD5sum: e5ff8ab428454aa96bf9f4ac69054171
SHA1: 84917daf21a15d7a65cda02c7790b28971cf3875
SHA256: c65956d3d9a6678f2cecbc75f67b5247149973caa96df8856cf937af47f04396
SHA512: 230192180b524487cf270f18ef17dd4cee575560dc793351ba2a31c4410e3964fa81e45134c93136422e49d49f469069858171bf193632bc065943375139e824
Homepage: https://cran.r-project.org/package=CheckDigit
Description: CRAN Package 'CheckDigit' (Calculate and Verify Check Digits)
 Check digits are used like file hashes to verify that a number has been
 transcribed accurately. The functions provided by this package help to
 calculate and verify check digits according to various algorithms.

Package: r-cran-checkdown
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-markdown, r-cran-htmltools, r-cran-glue
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-checkdown_0.0.12-1.ca2004.1_all.deb
Size: 79464
MD5sum: 033d830386b4d76d45864b4ba04e39d4
SHA1: 3b80b2452519f98cead80f719b4e2788ac3d8599
SHA256: ffff537b48d481551f6829bf99a3e02e0797d7790169323fd896117ed86f9ec0
SHA512: f40a2e31a51c83a72ccf05b6ac72e54d9e09b7fdcb64602c41f737e128a2a8d470c12226da3bc2ea4fdd4632f520aa6de371fbd5ea6c794296f5d6b382617342
Homepage: https://cran.r-project.org/package=checkdown
Description: CRAN Package 'checkdown' (Check-Fields and Check-Boxes for 'rmarkdown')
 Creates auto-grading check-fields and check-boxes for 'rmarkdown' or
 'quarto' HTML. It can be used in class, when teacher share materials and
 tasks, so students can solve some problems and check their work. In contrast
 to the 'learnr' package, the 'checkdown' package works serverlessly without
 'shiny'.

Package: r-cran-checked
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 431
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-igraph, r-cran-jsonlite, r-cran-options, r-cran-r6, r-cran-rcmdcheck
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-checked_0.2.9-1.ca2004.1_all.deb
Size: 330876
MD5sum: f96f38d3452112e66aa36e5767c16990
SHA1: d4a0156670e0a7e989c356cb6ebf3fa8f4ef2fb7
SHA256: 8e1d9a56b74d0cc2f7fabf07c54d762444f370547818c6b499a133436ebb6f31
SHA512: 6adc20ed83ff17e02f7b6ecbaff740916181cf2311d03bacc5e0d40e05ea307861d16ad03c5b8edd010f29db2423cd4224e7c0dea11637c7e6a7160650e258dc
Homepage: https://cran.r-project.org/package=checked
Description: CRAN Package 'checked' (Systematically Run R CMD Checks)
 Systematically Run R checks against multiple packages. Checks are run in
 parallel with strategies to minimize dependency installation. Provides out
 of the box interface for running reverse dependency check.

Package: r-cran-checker
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-yaml, r-cran-rstudioapi, r-cran-cli
Suggests: r-cran-quarto, r-cran-glue
Filename: pool/dists/focal/main/r-cran-checker_0.1.3-1.ca2004.1_all.deb
Size: 29872
MD5sum: 2eefb17b02c6cc24b7a0cf17b1fa2387
SHA1: 68f27d65772385c645be1ad1677e4f26db04c6e7
SHA256: 310f95edc780e58427b8eb8520ca90d3618a49edee97b7c3ecfb245d81020c54
SHA512: 7e266ddbab682ce7ec1bf9c0f6e835e67f8bb99ff6ff5f41f882bd2691706b8d0b3010c9e0e109ea841bff07387472d1431f763434b566581a6d383fca73a656
Homepage: https://cran.r-project.org/package=checker
Description: CRAN Package 'checker' (Checks 'R' Configuration Set Up Correctly Before Class)
 Checks that students have the correct version of 'R', 'R' packages,
 'RStudio' and other dependencies installed, and that the recommended
 'RStudio' configuration has been applied.

Package: r-cran-checkhelper
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-devtools, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-pkgbuild, r-cran-purrr, r-cran-rcmdcheck, r-cran-roxygen2, r-cran-stringr, r-cran-whisker, r-cran-withr
Suggests: r-cran-attachment, r-cran-callr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-checkhelper_0.1.1-1.ca2004.1_all.deb
Size: 93800
MD5sum: f49fe76afcb52faa0f49905474746bee
SHA1: 92ba79b11cbba2399e99a3f2fa8e5b7be8281428
SHA256: 9b7f06d2bb1c13240b8f532e9688bfd37bb40ede0917bc06e49ebfc5c8e94751
SHA512: 499c68e18e48834dbaa8efbc92ae3547aa2d8c947c74440ba9850680cd4ebb329ef768fed079f1fad7ad32b09e220a777eaa13d87cafb137f6a3ff8da7260eca
Homepage: https://cran.r-project.org/package=checkhelper
Description: CRAN Package 'checkhelper' (Deal with Check Outputs)
 Deal with packages 'check' outputs and reduce the risk of rejection by
 'CRAN' by following policies.

Package: r-cran-checkluhn
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-checkluhn_1.1.0-1.ca2004.1_all.deb
Size: 16584
MD5sum: 5e7c640d8613cfc04b59f85dfa924876
SHA1: a7005016d56f807c7cad107fcb18a7fd1b445ca8
SHA256: 00859dee570a5e8892d1a2781f02c9744797593bffa964fde1036316014a1c36
SHA512: 1a10cf4dcddd7eea4ea044bc0e0145f9c78f814f524f79e017fb1a41ff6e0a10b8913ebbb78d50dd5b6843365663df8abce8cbb6deed14a2ca5682483bd64d2a
Homepage: https://cran.r-project.org/package=checkLuhn
Description: CRAN Package 'checkLuhn' (Checks if a Number is Valid Using the Luhn Algorithm)
 Confirms if the number is Luhn compliant.  Can check if credit card, IMEI
 number or any other Luhn based number is correct.  For more info see:
 <https://en.wikipedia.org/wiki/Luhn_algorithm>.

Package: r-cran-checkpoint
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-yaml, r-cran-withr, r-cran-pkgdepends
Suggests: r-cran-pkgcache, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-checkpoint_1.0.2-1.ca2004.1_all.deb
Size: 117108
MD5sum: a2af34bddd6cff4532a2e614c2cd7449
SHA1: 73698a6a3cd14be8b979338f80268fc71eb188f9
SHA256: c4868fe98dc32e9435e8e52579df516d04c0d047b93d7c087cf1bb802e9403bf
SHA512: 1b75a4608854b7659f14c416d261c18593be9828dbbfa84c061e003507b030fbf04df737d819e2fd2b67f63381bc212b3e361a49e52abd1d3a786ee808d097e1
Homepage: https://cran.r-project.org/package=checkpoint
Description: CRAN Package 'checkpoint' (Install Packages from Snapshots on the Checkpoint Server forReproducibility)
 The goal of checkpoint is to solve the problem of package reproducibility in
 R. Specifically, checkpoint allows you to install packages as they existed
 on CRAN on a specific snapshot date as if you had a CRAN time machine. To
 achieve reproducibility, the checkpoint() function installs the packages
 required or called by your project and scripts to a local library exactly as
 they existed at the specified point in time. Only those packages are
 available to your project, thereby avoiding any package updates that came
 later and may have altered your results. In this way, anyone using
 checkpoint's checkpoint() can ensure the reproducibility of your scripts or
 projects at any time. To create the snapshot archives, once a day (at
 midnight UTC) Microsoft refreshes the Austria CRAN mirror on the "Microsoft
 R Archived Network" server (<https://mran.microsoft.com/>). Immediately
 after completion of the rsync mirror process, the process takes a snapshot,
 thus creating the archive. Snapshot archives exist starting from 2014-09-17.

Package: r-cran-checkr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-err
Suggests: r-cran-assertthat, r-cran-checkmate, r-cran-covr, r-cran-magrittr, r-cran-hms, r-cran-dplyr, r-cran-units, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-checkr_0.5.0-1.ca2004.1_all.deb
Size: 380600
MD5sum: 842a7350406a892ad105e136fef093bd
SHA1: 458fb3dd94d7f91e2ef59dc66c077dddea789902
SHA256: 3e6f5a5f780f542f5499c48af10c0b6e55fc9dd9d8f612f1698dbe0f97da3cec
SHA512: 3164bcc4a3440ee9c956fdbb06d798e9a19f1b82e795d7fefe3eaab58d598d245923147daa3c517577f109b42cb07ddafcd8b52395611675dd9e49cd0036a232
Homepage: https://cran.r-project.org/package=checkr
Description: CRAN Package 'checkr' (Check the Properties of Common R Objects)
 Expressive, assertive, pipe-friendly functions to check the properties of
 common R objects.  In the case of failure the functions issue informative
 error messages.

Package: r-cran-checkthat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-checkthat_0.1.0-1.ca2004.1_all.deb
Size: 80336
MD5sum: ccdeaaf593b8ea115039ce4ddedef11a
SHA1: af2c04b9374588dd69ed647f3aae24c60ec114b7
SHA256: a0adbac7d6131250666bc53c954bc68c807361a695d9f900dff5557a54e47ed7
SHA512: a2f8ca424dc4ff30da89c7a55014568a514946b9481cb9db07e3194360146bf5a7f17a9e13a0cde601670422370e52d79e7f86c6040ee41b5973a0536e695c8a
Homepage: https://cran.r-project.org/package=checkthat
Description: CRAN Package 'checkthat' (Intuitive Unit Testing Tools for Data Manipulation)
 Provides a lightweight data validation and testing toolkit for R.  Its
 guiding philosophy is that adding code-based data checks to users' existing
 workflow should be both quick and intuitive. The suite of functions included
 therefore mirror the common data checks many users already perform by hand
 or by eye. Additionally, the 'checkthat' package is optimized to work within
 'tidyverse' data manipulation pipelines.

Package: r-cran-cheem
Architecture: all
Version: 0.4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1553
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spinifex, r-cran-ggplot2, r-cran-plotly, r-cran-magrittr, r-cran-shiny, r-cran-shinythemes, r-cran-shinycssloaders, r-cran-dt, r-cran-conflicted
Suggests: r-cran-tourr, r-cran-lqmm, r-cran-mvtnorm, r-cran-gganimate, r-cran-dplyr, r-cran-tidyr, r-cran-tictoc, r-cran-beepr, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cheem_0.4.0.0-1.ca2004.1_all.deb
Size: 1355048
MD5sum: b677d1e1fa879deb64fc840aabf63837
SHA1: de704427c2cdf8d8416497f27744b5e77e39e588
SHA256: eb133898e3b8c900cb1afb89333eb571e1b150e3a4107f94e26a0de1802addf9
SHA512: b6157193c01592a979204d91968e1f67b9a87c762cd555dfe471ba607194c6c293d40b6749d3252de6cfd894cc050f7add96cadcdf02aa32f76d3b5a333c34c4
Homepage: https://cran.r-project.org/package=cheem
Description: CRAN Package 'cheem' (Interactively Explore Local Explanations with the Radial Tour)
 Given a non-linear model, calculate the local explanation.  We purpose view
 the data space, explanation space, and model residuals as ensemble graphic
 interactive on a shiny application. After an observation of interest is
 identified, the normalized variable importance of the local explanation is
 used as a 1D projection basis. The support of the local explanation is then
 explored by changing the basis with the use of the radial tour
 <doi:10.32614/RJ-2020-027>; <doi:10.1080/10618600.1997.10474754>.

Package: r-cran-cheese
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cheese_0.1.2-1.ca2004.1_all.deb
Size: 293036
MD5sum: cd72760a46d91072af49bdf9be3c7d4d
SHA1: b79a7dd5113e42a33ada11778f973fa133a5ccfe
SHA256: fd796377ea2200ce2f07b41c81ba33f7ce2397d17048e9db4a945a6aa701af2f
SHA512: cbbe647b6356dcd7da8337e8db433ad2805eee6699bfcfddad4931f8a4213bd783be5ab4177c2ace943b01f3a31c43a5de39b04aeccdcae7b6c292aa3ce51d8f
Homepage: https://cran.r-project.org/package=cheese
Description: CRAN Package 'cheese' (Tools for Working with Data During Statistical Analysis)
 Contains tools for working with data during statistical analysis, promoting
 flexible, intuitive, and reproducible workflows. There are functions
 designated for specific statistical tasks such building a custom univariate
 descriptive table, computing pairwise association statistics, etc. These are
 built on a collection of data manipulation tools designed for general use
 that are motivated by the functional programming concept.

Package: r-cran-cheetahr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7130
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-shiny, r-cran-quarto, r-cran-knitr, r-cran-dplyr, r-cran-palmerpenguins
Filename: pool/dists/focal/main/r-cran-cheetahr_0.2.0-1.ca2004.1_all.deb
Size: 1261940
MD5sum: 514293155cea13b0e8bcaa1513908e47
SHA1: cd1b2485403ba523cd62118fa98416d08dcb6aab
SHA256: 09ce0223c76e2aee1c6b039bb22461b46d09a9fec8e50b007f83d2b6f512084d
SHA512: fec85d0ed0517aca306fa7e035023a93f2450555718a5b97452ac227992068e77e9da8408c97595928a147a9091bcf05de55ebe0ee44d61128d82cd2e1a9d870
Homepage: https://cran.r-project.org/package=cheetahR
Description: CRAN Package 'cheetahR' (High Performance Tables Using 'Cheetah Grid')
 An R interface to 'Cheetah Grid', a high-performance JavaScript table
 widget.  'cheetahR' allows users to render millions of rows in just a few
 milliseconds, making it an excellent alternative to other R table widgets.
 The package wraps the 'Cheetah Grid' JavaScript functions and makes them
 readily available for R users.  The underlying grid implementation is based
 on 'Cheetah Grid' <https://github.com/future-architect/cheetah-grid>.

Package: r-cran-chem.databases
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2453
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-data.table, r-cran-install.load, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-chem.databases_1.0.0-1.ca2004.1_all.deb
Size: 2476572
MD5sum: 824a242ad3386f9df59a3323364a94dd
SHA1: e128775039e9abc78cfceb546d1c145aa6e90252
SHA256: 9537b28a6d3a3ab4eec9231f5bddb352d544bebab1d1c7730f774e2bd277a915
SHA512: 8e7dc17f5b9ea1bc219f064878ceb6057e983278b3082f37f8a026bc1793a6adcf548a918058fc76cacc15cb97a361f6322257c9994ea1c8dcdd95374f131256
Homepage: https://cran.r-project.org/package=chem.databases
Description: CRAN Package 'chem.databases' (Collection of 3 Chemical Databases from Public Sources)
 Contains the Multi-Species Acute Toxicity Database (CAS & SMILES columns
 only) [United States (US) Department of Health and Human Services (DHHS)
 National Institutes of Health (NIH) National Cancer Institute (NCI),
 "Multi-Species Acute Toxicity Database",
 <https://cactus.nci.nih.gov/download/acute-toxicity-db/>] combined with the
 Toxic Substances Control Act (TSCA) Inventory [United States Environmental
 Protection Agency (US EPA), "Toxic Substances Control Act (TSCA) Chemical
 Substance Inventory",
 <https://www.epa.gov/tsca-inventory/how-access-tsca-inventory} and
 <https://cdxapps.epa.gov/oms-substance-registry-services/substance-list-details/169>]
 and the Agency for Toxic Substances and Disease Registry (ATSDR) Database
 [United States (US) Department of Health and Human Services (DHHS) Centers
 for Disease Control and Prevention (CDC)/Agency for Toxic Substances and
 Disease Registry (ATSDR), "Agency for Toxic Substances and Disease Registry
 (ATSDR) Database",
 <https://cdxapps.epa.gov/oms-substance-registry-services/substance-list-details/105>]
 in 2 data sets. One data set has a focus on the latter 2 databases and one
 data set focuses on the former database. Also contains the collection of
 chemical data from Wikipedia compiled in the US EPA CompTox Chemicals
 Dashboard [United States Environmental Protection Agency (US EPA) /
 Wikimedia Foundation, Inc. "CompTox Chemicals Dashboard v2.2.1",
 <https://comptox.epa.gov/dashboard/chemical-lists/WIKIPEDIA>].

Package: r-cran-chem16s
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4805
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-ggplot2, r-cran-rlang, r-cran-reshape2, r-bioc-phyloseq, r-cran-canprot
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-patchwork, r-cran-ggpmisc, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chem16s_1.2.0-1.ca2004.1_all.deb
Size: 3436968
MD5sum: fc3aec7b2fae8cd95592e7f5b57cc1ce
SHA1: 1ac99aa6802379a0e962bc2240eb4679f3e599c0
SHA256: 376d5f23b147a29d5c5e4939f299dfbacbd1186718f1e1e67d4c6abad845404e
SHA512: 296b1d2182d56b4fc5d393481d8672b6b168fa30dbf137fd4f0e947c0d82765a9634c5b92da4d4da108e7671a972fe57f5bdd7d9cefc3e871cc5a575f0612c0e
Homepage: https://cran.r-project.org/package=chem16S
Description: CRAN Package 'chem16S' (Chemical Metrics for Microbial Communities)
 Combines taxonomic classifications of high-throughput 16S rRNA gene
 sequences with reference proteomes of archaeal and bacterial taxa to
 generate amino acid compositions of community reference proteomes.
 Calculates chemical metrics including carbon oxidation state ('Zc'),
 stoichiometric oxidation and hydration state ('nO2' and 'nH2O'), H/C, N/C,
 O/C, and S/C ratios, grand average of hydropathicity ('GRAVY'), isoelectric
 point ('pI'), protein length, and average molecular weight of amino acid
 residues. Uses precomputed reference proteomes for archaea and bacteria
 derived from the Genome Taxonomy Database ('GTDB'). Also includes reference
 proteomes derived from the NCBI Reference Sequence ('RefSeq') database and
 manual mapping from the 'RDP Classifier' training set to 'RefSeq' taxonomy
 as described by Dick and Tan (2023) <doi:10.1007/s00248-022-01988-9>.
 Processes taxonomic classifications in 'RDP Classifier' format or OTU tables
 in 'phyloseq-class' objects from the Bioconductor package 'phyloseq'.

Package: r-cran-chemcal
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1078
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-knitr, r-cran-testthat, r-cran-investr, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chemcal_0.2.3-1.ca2004.1_all.deb
Size: 391172
MD5sum: 17fd231e60ebe5f8e3f873c7943d53ac
SHA1: 4066b119813f4bf731d4e0a5a49cebe13c444653
SHA256: 9bd7bb331d72267fc60cff26da76ba33a2fd3b9a6d981ced60f8e4c3d2e80155
SHA512: 67a9bd1a6c072663e0989eaf99cd53f526f592177f4d7e8ff9c60f8330189d6ab920ba4341677ea93a3efaea4b8ee4629cf1f4e4caee3039a90314a9dcfcae99
Homepage: https://cran.r-project.org/package=chemCal
Description: CRAN Package 'chemCal' (Calibration Functions for Analytical Chemistry)
 Simple functions for plotting linear calibration functions and estimating
 standard errors for measurements according to the Handbook of Chemometrics
 and Qualimetrics: Part A by Massart et al. (1997) There are also functions
 estimating the limit of detection (LOD) and limit of quantification (LOQ).
 The functions work on model objects from - optionally weighted - linear
 regression (lm) or robust linear regression ('rlm' from the 'MASS' package).

Package: r-cran-chemdeg
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-chemdeg_0.1.4-1.ca2004.1_all.deb
Size: 117320
MD5sum: d6599976cf785b40f171b0f1f7c7c968
SHA1: df0295fdb3791ad143e0239bd5020657c1847f8a
SHA256: e6d05cb1eaf62f210d6d116ffa2e5a23ae3d298aaebefc6f9ba5fa2a3e633e08
SHA512: 7a45ec38fd2cd07f463dbd459f900bf368f39970a47b562069fc58df5bd73a929c4e72268b8e1ed0b3042da96c5b0d765b185b57392718da7ffa73ed4e52fc5b
Homepage: https://cran.r-project.org/package=chemdeg
Description: CRAN Package 'chemdeg' (Analysis of Chemical Degradation Kinetic Data)
 A collection of functions that have been developed to assist experimenter in
 modeling chemical degradation kinetic data. The selection of the appropriate
 degradation model and parameter estimation is carried out automatically as
 far as possible and is driven by a rigorous statistical interpretation of
 the results.  The package integrates already available goodness-of-fit
 statistics for nonlinear models. In addition it allows data fitting with the
 nonlinear first-order multi-target (FOMT) model.

Package: r-cran-chemist
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-xicor, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-chemist_0.1.5-1.ca2004.1_all.deb
Size: 60936
MD5sum: 07e95d32f915a884084a56e07af85b32
SHA1: 9a7f0c12b4ec44aec2fde5cb9911b3c9440de354
SHA256: 5ff8241ca6d13b3d4ccbf307530012bda634879ff95a74772880e33ebcd117ca
SHA512: 93451ed5658a9ab6075a81add8437ea7ee68c45847ba2ea69b1841a0cfeff849012539b499d0c105e9990441c7831fcf1e0c66c9bf07e26cd36a9376fb745472
Homepage: https://cran.r-project.org/package=CHEMIST
Description: CRAN Package 'CHEMIST' (Causal Inference with High-Dimensional Error-Prone Covariatesand Misclassified Treatments)
 We aim to deal with the average treatment effect (ATE), where the data are
 subject to high-dimensionality and measurement error. This package primarily
 contains two functions, which are used to generate artificial data and
 estimate ATE with high-dimensional and error-prone data accommodated.

Package: r-cran-chemmodlab
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-msqc, r-cran-class, r-cran-e1071, r-cran-elasticnet, r-cran-lars, r-cran-mass, r-cran-nnet, r-cran-proc, r-cran-randomforest, r-cran-rpart, r-cran-tree, r-cran-pls, r-cran-caret
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-chemmodlab_2.0.0-1.ca2004.1_all.deb
Size: 387576
MD5sum: 27e0831792a466504cad5aac88130500
SHA1: 00908b51d0c7b2e216a198bcbe83d717c2984036
SHA256: 3e0664712697b80855d908743401a43ac325d0951e837421f54e05c86e2b5d73
SHA512: 3a89db33bcc04a48fd2253a60a1120e73e5501b91ff940ad29c6a1348c36cd32100adc5476705b126f45fddbfca77d1d55782a33252e98ed79ec7d3b1f9f5536
Homepage: https://cran.r-project.org/package=chemmodlab
Description: CRAN Package 'chemmodlab' (A Cheminformatics Modeling Laboratory for Fitting and AssessingMachine Learning Models)
 Contains a set of methods for fitting models and methods for validating the
 resulting models. The statistical methodologies comprise a comprehensive
 collection of approaches whose validity and utility have been accepted by
 experts in the Cheminformatics field. As promising new methodologies emerge
 from the statistical and data-mining communities, they will be incorporated
 into the laboratory. These methods are aimed at discovering quantitative
 structure-activity relationships (QSARs). However, the user can directly
 input their own choices of descriptors and responses, so the capability for
 comparing models is effectively unlimited.

Package: r-cran-chemodiv
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-vegan, r-cran-webchem, r-bioc-fmcsr, r-bioc-chemminer, r-cran-hillr, r-cran-ape, r-cran-gunifrac, r-cran-tidygraph, r-cran-igraph, r-cran-ggraph, r-cran-ggplot2, r-cran-gridextra, r-cran-ggdendro, r-cran-tidyr, r-cran-rlang, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chemodiv_0.3.1-1.ca2004.1_all.deb
Size: 567328
MD5sum: a42828cab624e28a18520e18d9802769
SHA1: 13ac3a0186a3776186e591c5240c9e9f1c2226fe
SHA256: d12bdcbabc296bed32368eabd5e45a4e0436c9d022e9bc88303203bc18f05a84
SHA512: 119892c45ac2e7b3229f5cc406ede72dc27d13fc004772542c7278137a3082ae24c299a233130f8f5e54832364801a1ed44a10166e4ae172a2726069cb9bf0c2
Homepage: https://cran.r-project.org/package=chemodiv
Description: CRAN Package 'chemodiv' (Analysing Chemodiversity of Phytochemical Data)
 Quantify and visualise various measures of chemical diversity and
 dissimilarity, for phytochemical compounds and other sets of chemical
 composition data. Importantly, these measures can incorporate biosynthetic
 and/or structural properties of the chemical compounds, resulting in a more
 comprehensive quantification of diversity and dissimilarity. For details,
 see Petrén, Köllner and Junker (2023) <doi:10.1111/nph.18685>.

Package: r-cran-chemometrics
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4342
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpart, r-cran-class, r-cran-e1071, r-cran-mass, r-cran-nnet, r-cran-pcapp, r-cran-robustbase, r-cran-som, r-cran-lars, r-cran-pls, r-cran-mclust
Suggests: r-cran-gclus
Filename: pool/dists/focal/main/r-cran-chemometrics_1.4.4-1.ca2004.1_all.deb
Size: 4057392
MD5sum: d5f9e96b039f67bdd2aa1e5e918c3257
SHA1: 0eeaed45e2455c8e82f4fc0bc9ee9b1c67a4050d
SHA256: 8adef86b5bb2fe3cdadecabd4e77d32ad1e70aae933c3f7db39aebbca226fa73
SHA512: c28af1781d55247826e181d307ba90fcf2124f94708a79cc4731af326fed9d95b979d094565fc0900b3b8d42e76282a8b16ec833d1649acc631eed3607360439
Homepage: https://cran.r-project.org/package=chemometrics
Description: CRAN Package 'chemometrics' (Multivariate Statistical Analysis in Chemometrics)
 R companion to the book "Introduction to Multivariate Statistical Analysis
 in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).

Package: r-cran-chemospec2d
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chemospecutils, r-cran-colorspace, r-cran-readjdx, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-tinytest, r-cran-irlba, r-cran-threeway, r-cran-multiway, r-cran-matrixstats, r-cran-r.utils, r-cran-mlrmbo, r-cran-paramhelpers, r-cran-smoof, r-cran-mlr, r-cran-lhs, r-cran-rcpproll, r-cran-rmarkdown, r-cran-robustbase, r-cran-bookdown, r-cran-cmls
Filename: pool/dists/focal/main/r-cran-chemospec2d_0.5.1-1.ca2004.1_all.deb
Size: 384720
MD5sum: 333682ffcb744891549a751cb0138f32
SHA1: dea329b4fb4af8e822ac67a9ebe456a7d2bbba07
SHA256: 5602a81448d75a6cf07e55d985eaada28bf2d5c30e7c380796c66654329d6162
SHA512: 4a195febdf147bafaa7341f3662b7e17eb502b58b87c5cb4e5d3505f07d58f33c8e68ff586ffe946f18ff716e4eb0881efde1b673d360eea3bce81c9137c4521
Homepage: https://cran.r-project.org/package=ChemoSpec2D
Description: CRAN Package 'ChemoSpec2D' (Exploratory Chemometrics for 2D Spectroscopy)
 A collection of functions for exploratory chemometrics of 2D spectroscopic
 data sets such as COSY (correlated spectroscopy) and HSQC (heteronuclear
 single quantum coherence) 2D NMR (nuclear magnetic resonance) spectra.
 'ChemoSpec2D' deploys methods aimed primarily at classification of samples
 and the identification of spectral features which are important in
 distinguishing samples from each other. Each 2D spectrum (a matrix) is
 treated as the unit of observation, and thus the physical sample in the
 spectrometer corresponds to the sample from a statistical perspective.  In
 addition to chemometric tools, a few tools are provided for plotting 2D
 spectra, but these are not intended to replace the functionality typically
 available on the spectrometer. 'ChemoSpec2D' takes many of its cues from
 'ChemoSpec' and tries to create consistent graphical output and to be very
 user friendly.

Package: r-cran-chemospec
Architecture: all
Version: 6.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2394
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-chemospecutils, r-cran-reshape2, r-cran-readjdx, r-cran-patchwork, r-cran-ggplot2, r-cran-plotly, r-cran-magrittr
Suggests: r-cran-idpmisc, r-cran-knitr, r-cran-js, r-cran-nbclust, r-cran-clustercrit, r-cran-lattice, r-cran-baseline, r-cran-mclust, r-cran-pls, r-cran-r.utils, r-cran-rcolorbrewer, r-cran-seriation, r-cran-mass, r-cran-pcapp, r-cran-jsonlite, r-cran-signal, r-cran-speaq, r-cran-tinytest, r-cran-elasticnet, r-cran-irlba, r-cran-rmarkdown, r-cran-bookdown, r-cran-chemometrics, r-cran-hyperspec, r-cran-amap, r-cran-roxut
Filename: pool/dists/focal/main/r-cran-chemospec_6.2.0-1.ca2004.1_all.deb
Size: 2193772
MD5sum: fffeaf4a8facb0b304af51839d28fafa
SHA1: 9cd5e8ffbaf5be88ac686cb006bb5346085fdb9a
SHA256: 2c8b575845a5b60783594a7eb49e41729a7aca66e21f02591c63a3e3065a41e3
SHA512: afc54c2a6ccc51e0c7e548bc93d2e2505812635693bbe23e48d43d9dff37cdbd3b10fc009dc028ceff4e45f0740413d6f7fd6ed60a2d6207a6690615be375298
Homepage: https://cran.r-project.org/package=ChemoSpec
Description: CRAN Package 'ChemoSpec' (Exploratory Chemometrics for Spectroscopy)
 A collection of functions for top-down exploratory data analysis of spectral
 data including nuclear magnetic resonance (NMR), infrared (IR), Raman, X-ray
 fluorescence (XRF) and other similar types of spectroscopy.  Includes
 functions for plotting and inspecting spectra, peak alignment, hierarchical
 cluster analysis (HCA), principal components analysis (PCA) and model-based
 clustering. Robust methods appropriate for this type of high-dimensional
 data are available. ChemoSpec is designed for structured experiments, such
 as metabolomics investigations, where the samples fall into treatment and
 control groups. Graphical output is formatted consistently for publication
 quality plots. ChemoSpec is intended to be very user friendly and to help
 you get usable results quickly. A vignette covering typical operations is
 available.

Package: r-cran-chemospecutils
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggrepel, r-cran-plotly, r-cran-magrittr
Suggests: r-cran-chemospec, r-cran-chemospec2d, r-cran-tinytest, r-cran-robustbase, r-cran-rcolorbrewer, r-cran-amap, r-cran-irlba, r-cran-lattice, r-cran-roxut, r-cran-patchwork, r-cran-threeway, r-cran-multiway, r-cran-mvoutlier
Filename: pool/dists/focal/main/r-cran-chemospecutils_1.0.5-1.ca2004.1_all.deb
Size: 233212
MD5sum: bed08cb526f823b502ab6a9276f475b4
SHA1: 51ab9c4136195d8a197d9752590efd8171316fdc
SHA256: 2d25891a7369ff39de9e347287ae1716e4c2594b5064ee5550c1c081c546d513
SHA512: aff4b1ef2532335686065ed7218eb61703f5228dee7a0fa14e34578219368e128694d3f6bf415e202a48931e72d36b591f9be01db15b728a625801d217de654e
Homepage: https://cran.r-project.org/package=ChemoSpecUtils
Description: CRAN Package 'ChemoSpecUtils' (Functions Supporting Packages ChemoSpec and ChemoSpec2D)
 Functions supporting the common needs of packages 'ChemoSpec' and
 'ChemoSpec2D'.

Package: r-cran-chernoffdist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gsl
Filename: pool/dists/focal/main/r-cran-chernoffdist_0.1.0-1.ca2004.1_all.deb
Size: 18780
MD5sum: e1e4b99e244609919acee9d58c7b6d48
SHA1: 8b1eba16bad074e8e6b099e2b2af6960baa83c0a
SHA256: b6a280d0991351da9287361219f703bf972ef6a9f66d344cacd54b300a8fee76
SHA512: 278b19fb6f06f3b1393c1017555457b951e10de7b13bcf20980cffde66ae0c490460ab846bfc505c60d642e9478ca781baeb34c650c3d355afa59990c2e45e1f
Homepage: https://cran.r-project.org/package=ChernoffDist
Description: CRAN Package 'ChernoffDist' (Chernoff's Distribution)
 Computes Chernoff's distribution based on the method in Piet Groeneboom &
 Jon A Wellner (2001) Computing Chernoff's Distribution, Journal of
 Computational and Graphical Statistics, 10:2, 388-400,
 <doi:10.1198/10618600152627997>.  Chernoff's distribution is defined as the
 distribution of the maximizer of the two-sided Brownian motion minus
 quadratic drift. That is, Z = argmax (B(t)-t^2).

Package: r-cran-cherry
Architecture: all
Version: 0.6-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 691
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bitops, r-cran-lpsolve, r-cran-hommel
Suggests: r-cran-mass, r-bioc-multtest
Filename: pool/dists/focal/main/r-cran-cherry_0.6-15-1.ca2004.1_all.deb
Size: 546244
MD5sum: 84669cfac86b9f89f664075c7b9c8492
SHA1: 9a77c3dfcd3502fd2a9f96d3379eacae252e6d47
SHA256: bdb875e13e949fc41d2c6fbd1f816c82dd7379537144c1b5354905d9b1f4c4b9
SHA512: 09964b9da67912cf1a3229690d583ff6f0c29d781ec9e7a1c3d8f0b58f8db388724e300db1e779590adbd95dfe4e5ad8e8c9b8d41c2f5cecf4d912d093665443
Homepage: https://cran.r-project.org/package=cherry
Description: CRAN Package 'cherry' (Multiple Testing Methods for Exploratory Research)
 Provides an alternative approach to multiple testing by calculating a
 simultaneous upper confidence bounds for the number of true null hypotheses
 among any subset of the hypotheses of interest, using the methods of Goeman
 and Solari (2011) <doi:10.1214/11-STS356>.

Package: r-cran-cherryblossom
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1420
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cherryblossom_0.1.0-1.ca2004.1_all.deb
Size: 1343788
MD5sum: 60ad78eedca4d506779a87b5c64fd60c
SHA1: 74a5706fa5e3b324e82205384e34742f02444e50
SHA256: b2ddcfe7df6b116cbf7e0b9b216d792e3b20f00b5ab365fd493541c5b2f7a63a
SHA512: 97500c533da9f280d7dd4aa812e52a2892d477efe48b52008f0d76bca552887b819264f4706666a38d67d09b730fc95d2d249f7b5781b1273df7a7f5c413ea9b
Homepage: https://cran.r-project.org/package=cherryblossom
Description: CRAN Package 'cherryblossom' (Cherry Blossom Run Race Results)
 Race results of the Cherry Blossom Run, which is an annual road race that
 takes place in Washington, DC.

Package: r-cran-chess2plyrs
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chess2plyrs_0.3.0-1.ca2004.1_all.deb
Size: 144580
MD5sum: f1b90d21b05f6701321b6a58f3e8e017
SHA1: a1c2014eadcaaefcbedc96f078ec200ff90662fd
SHA256: faaaa7ff5e339a50b70701f560018411e80d51a496f85a4358264a40cc08f78f
SHA512: 83d3d40e694f301e091bbe41dd4afe02dde7fd2b0a4988ecec9e947db6f60a6be643c0cd559c18ae096aa813e4f5c0dbf559dd18cc3f4b24c3eea88d23dd9c7d
Homepage: https://cran.r-project.org/package=chess2plyrs
Description: CRAN Package 'chess2plyrs' (Chess Game Creation and Tools)
 A chess program which allows the user to create a game, add moves, check for
 legal moves and game result, plot the board, take back, read and write FEN
 (Forsyth–Edwards Notation).  A basic chess engine based on minimax is
 implemented.

Package: r-cran-chess
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-magrittr, r-cran-purrr, r-cran-reticulate, r-cran-rsvg
Suggests: r-cran-covr, r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chess_1.0.1-1.ca2004.1_all.deb
Size: 213040
MD5sum: d493d1f26498f9e24c0b7703db394ffd
SHA1: b6cf106fb41307558cbd375f479c3629d753cee2
SHA256: 294a510d7ddc7d8e6eaa9530717e13b1a944bad0d746ada4f414726defa644ec
SHA512: dc6a674ad4de0f7d6a8d43f374ab44a066472770ff89f4289e739939037db0c0d1ac73e99cd8784df58ad5011f7b47d6a2c1fbf0b3fab927d3df5d0cfaa26983
Homepage: https://cran.r-project.org/package=chess
Description: CRAN Package 'chess' (Read, Write, Create and Explore Chess Games)
 This is an opinionated wrapper around the python-chess package. It allows
 users to read and write PGN files as well as create and explore game trees
 such as the ones seen in chess books.

Package: r-cran-chessboard
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2639
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-sf, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-igraph, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chessboard_0.1-1.ca2004.1_all.deb
Size: 1597592
MD5sum: b5a3201d2e66d944974c14d4ee62df17
SHA1: e9afe099d6a761806473a84a9894a7142ac5c8d1
SHA256: b0d8662f63450589f67f94215482a4955fb1939da3acdcdd6247203dba0bf7c1
SHA512: e82bab8d604eba8f16017296503a67b5a6acac287bcff303d11f36c3ba4526d96104135ef492b186a451ccc956653f2cd1eb68e6dc9bab4e0a2804158a33b5d7
Homepage: https://cran.r-project.org/package=chessboard
Description: CRAN Package 'chessboard' (Create Network Connections Based on Chess Moves)
 Provides functions to work with directed (asymmetric) and undirected
 (symmetric) spatial networks. It makes the creation of connectivity matrices
 easier, i.e. a binary matrix of dimension n x n, where n is the number of
 nodes (sampling units) indicating the presence (1) or the absence (0) of an
 edge (link) between pairs of nodes. Different network objects can be
 produced by 'chessboard': node list, neighbor list, edge list, connectivity
 matrix. It can also produce objects that will be used later in Moran's
 Eigenvector Maps (Dray et al. (2006) <doi:10.1016/j.ecolmodel.2006.02.015>)
 and Asymetric Eigenvector Maps (Blanchet et al. (2008)
 <doi:10.1016/j.ecolmodel.2008.04.001>), methods available in the package
 'adespatial' (Dray et al. (2023)
 <https://CRAN.R-project.org/package=adespatial>). This work is part of the
 FRB-CESAB working group Bridge
 <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/bridge/>.

Package: r-cran-chessgmoog
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3938
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-chessgmoog_0.1.0-1.ca2004.1_all.deb
Size: 3986144
MD5sum: 939e64fde77b0863ab181104a0db01e0
SHA1: e4b187db0b8b17c6b329611224c67355cbfe59b9
SHA256: e039886ccf8f6aade0d153ea21bb58c13c90f031fda44af86ef0e3d4bfb74a38
SHA512: 9132bdc3c0584d92d25243005b05fe4db17d0ac91b7aa5dd542642ad57379fde6023487d8cdd8c1719abfac21592977dc1f77f8d7d7b7fa6ad97e5086946ba88
Homepage: https://cran.r-project.org/package=ChessGmooG
Description: CRAN Package 'ChessGmooG' (FIDE Chess Players Ratings for 2015 and 2020)
 Datasets of the International Chess Federation's player ratings and country
 information analysed in the book Antony Unwin (2024, ISBN:978-0367674007)
 "Getting (more out of) Graphics".

Package: r-cran-chessr
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-jsonlite, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-lubridate, r-cran-magrittr, r-cran-xml2, r-cran-rvest, r-cran-curl, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat, r-cran-covr, r-cran-chess
Filename: pool/dists/focal/main/r-cran-chessr_1.5.2-1.ca2004.1_all.deb
Size: 270320
MD5sum: 745d96e8c5e74b2451c4203f12a3a3ff
SHA1: 03e8146ab3405b72e0bb4e59701ed76c10587249
SHA256: f4bc9562f1b44175866a44ed1ad8766540f0902b7551a04fb5f18d5115ddef69
SHA512: 627b2e0f55079f04fad511d2b726d3cbf056c819433ba35043afec8cb0f6902c44bae22000d9f71a27f5d70d2daf74e27fcf5c59e2a7e8481129896c5fa4b5f8
Homepage: https://cran.r-project.org/package=chessR
Description: CRAN Package 'chessR' (Functions to Extract, Clean and Analyse Online Chess Game Data)
 A set of functions to enable users to extract chess game data from popular
 chess sites, including 'Lichess'<https://lichess.org/> and 'Chess.com'
 <https://www.chess.com/> and then perform analysis on that game data.

Package: r-cran-chest
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-ggplot2, r-cran-survival, r-cran-forestplot, r-cran-mass, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chest_0.3.7-1.ca2004.1_all.deb
Size: 181452
MD5sum: c94dea5eea44588d207b46ab692910ef
SHA1: f0cd00dc874c6a5e906664bec870441afcb6ab71
SHA256: 796f4cb528ba0578e5a85faa4a2c8a7b5c335040fcedb35ab7d6c996692d86da
SHA512: 24c784845bac07df83a243d9d3b154c226a5be734cd3ba33b7c72cc05935db9ca11f418846fb489fba75a18db098b1f9263f19dea85cc29e182c130fe950cd08
Homepage: https://cran.r-project.org/package=chest
Description: CRAN Package 'chest' (Change-in-Estimate Approach to Assess Confounding Effects)
 Applies the change-in-effect estimate method to assess confounding effects
 in medical and epidemiological research (Greenland & Pearce (2016)
 <doi:10.1146/annurev-publhealth-031914-122559> ). It starts with a crude
 model including only the outcome and exposure variables. At each of the
 subsequent steps, one variable which creates the largest change among the
 remaining variables is selected. This process is repeated until all
 variables have been entered into the model (Wang Z. Stata Journal 2007; 7,
 Number 2, pp. 183–196). Currently, the 'chest' package has functions for
 linear regression, logistic regression, negative binomial regression, Cox
 proportional hazards model and conditional logistic regression.

Package: r-cran-chestvolume
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2591
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-dplyr, r-cran-tidyr, r-cran-geometry, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chestvolume_1.0.1-1.ca2004.1_all.deb
Size: 2560844
MD5sum: e880c5a9990194cdb65a25b6f8ae5762
SHA1: 4dddf7a6bb2edbfa37bfed25dfa760fec5786656
SHA256: dfceb30e72fc22262416888b30fbcbe35b2af8b29c82b04d5bb2a500c4ff7921
SHA512: 6d257d8929daad4cfb5bdbcd2e1578d7e4faa2e07720a84ffa003b2348ec27528907ef0b504c7b9f136ce5dad52addfc193081977a7f1774668312663eabc7d4
Homepage: https://cran.r-project.org/package=ChestVolume
Description: CRAN Package 'ChestVolume' (Estimate the Chest Volume with Markers Data)
 Provides tools to process and analyze chest expansion using 3D marker data
 from motion capture systems. Includes functions for data processing, marker
 position adjustment, volume calculation using convex hulls, and
 visualization in 2D and 3D. Barber et al. (1996)
 <doi:10.1145/235815.235821>. TAMIYA Hiroyuki et al. (2021)
 <doi:10.1038/s41598-021-01033-8>.

Package: r-cran-chevron
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3243
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-dunlin, r-cran-forcats, r-cran-formatters, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-nestcolor, r-cran-purrr, r-cran-rlang, r-cran-rlistings, r-cran-rtables, r-cran-stringr, r-cran-tern, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-chevron_0.2.12-1.ca2004.1_all.deb
Size: 1961824
MD5sum: ba0ae5a8bf10079c523fff394ad4fa13
SHA1: 0118eb64312af5ce276a85bd5e0c94371525c865
SHA256: b63537ceb1a08fb42452d49580ea827ecb30f950e6925ceb45134f2d4b88a7e2
SHA512: 0124393bf433c6c0f3db87516ba6b0cb273dddab2c12886f1bf11ef4a7246d8873c2da27f8f40e742cb679aa158b93be2494fbdccc20ab24510e00c25762cf55
Homepage: https://cran.r-project.org/package=chevron
Description: CRAN Package 'chevron' (Standard TLGs for Clinical Trials Reporting)
 Provide standard tables, listings, and graphs (TLGs) libraries used in
 clinical trials. This package implements a structure to reformat the data
 with 'dunlin', create reporting tables using 'rtables' and 'tern' with
 standardized input arguments to enable quick generation of standard outputs.
 In addition, it also provides comprehensive data checks and script
 generation functionality.

Package: r-cran-chff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-chff_0.1.0-1.ca2004.1_all.deb
Size: 27528
MD5sum: 0340d875ba3d912c50c4a6f7f8c68a29
SHA1: 196dc3cbd72898b91306250c2ce44c815677d55a
SHA256: cb8ee01557332fbb579d07cef25bc9bdaa642a016a45899161ecebec2042cf8c
SHA512: 39b5cd25fb7191b161c35ac05239a796ce5ada43dba171298b7a7fc66be593271b70900805b0a798c6679ba94e871a2c79fdc4fde65254e28968337e607aba9b
Homepage: https://cran.r-project.org/package=CHFF
Description: CRAN Package 'CHFF' (Closest History Flow Field Forecasting for Bivariate Time Series)
 The software matches the current history to the closest history in a time
 series to build a forecast.

Package: r-cran-chi
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-chi_0.1-1.ca2004.1_all.deb
Size: 15232
MD5sum: 12cdc1c8935631ca56473e7302b0a665
SHA1: cedd3714bc4586fa2042a3aa88aeb63673a28013
SHA256: da6991af2f5fa45e5c59c004dba600b9bb2ad52b88ba59a0a6cc3412a4a9695a
SHA512: 4217b7675a007fd115e4f10cfecbb9e9aea43890f0f214a665afaaa99053dce726bc6f5f94201950e6bb94c7a85b55149ff39189dc219a9df725158e2a6b11ba
Homepage: https://cran.r-project.org/package=chi
Description: CRAN Package 'chi' (The Chi Distribution)
 Light weight implementation of the standard distribution functions for the
 chi distribution, wrapping those for the chi-squared distribution in the
 stats package.

Package: r-cran-chicane
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3999
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss.tr, r-cran-gamlss, r-cran-data.table, r-cran-mass, r-cran-foreach, r-cran-doparallel, r-cran-iterators, r-cran-bedr, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-testthat, r-bioc-genomicinteractions, r-bioc-genomicranges, r-bioc-gviz
Filename: pool/dists/focal/main/r-cran-chicane_0.1.8-1.ca2004.1_all.deb
Size: 3291488
MD5sum: 8515be11d4a695fb5a7d5420f3d065a0
SHA1: 6631797b4dae2ff31805c61856b6fb960c328d31
SHA256: bae3dd129dd9c29e15ee74ce4d65f7e32d8e3caa86a14a3808db19e9d95cdf4d
SHA512: 6aae1f48f4af9264947b0d592d39ba98f6b80d931572f87a49abb17fb1b7f0605f73d0efad749e64eff7761a37afd5d2baecef4240ed864486c3bcb1641dceed
Homepage: https://cran.r-project.org/package=chicane
Description: CRAN Package 'chicane' (Capture Hi-C Analysis Engine)
 Toolkit for processing and calling interactions in capture Hi-C data.
 Converts BAM files into counts of reads linking restriction fragments, and
 identifies pairs of fragments that interact more than expected by chance.
 Significant interactions are identified by comparing the observed read count
 to the expected background rate from a count regression model.

Package: r-cran-childdevdata
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1270
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-childdevdata_1.1.0-1.ca2004.1_all.deb
Size: 1093316
MD5sum: 72035fcd090ce8b9a608997f8c606c7e
SHA1: 18beb81c2cd1179652caf316f3d75e0889e2d9f1
SHA256: 9900d811e62349a24f0ce05c296479b00203db078e2c60e6c8e3cf38f807b1f9
SHA512: 8bf14625338a6c13fddab084ccdfe37b46faa3c62b2288c7ebf72edb1307425ad0bada2e7dff991c1ec7fb6778795605d08610176c3a0367c5dd0915f93b83dc
Homepage: https://cran.r-project.org/package=childdevdata
Description: CRAN Package 'childdevdata' (Child Development Data)
 Measuring child development starts by collecting responses to developmental
 milestones, such as "able to sit" or "says two words".  There are many ways
 to combine such responses into summaries.  The package bundles publicly
 available datasets with individual milestone data for children aged 0-5
 years, with the aim of supporting the construction, evaluation, validation
 and interpretation of methodologies that aggregate milestone data into
 informative measures of child development.

Package: r-cran-childesr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rmysql
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-childesr_0.2.3-1.ca2004.1_all.deb
Size: 72812
MD5sum: dac2b2eecbf27086e20b791dc6f63f32
SHA1: 8dcbc8a2d25ff4875509727da4f56b15d7a8e3ce
SHA256: 9f97134646f1e1f64a44702ac02a31e84a5581312047e63a7d61f17401b6ec3b
SHA512: 676e84d4f8646b0a8a12dafbe89f1dbd83f32eda8f1a68fd6e29c4113cf99d34c2bd8795c5d50bb5b0045ccdd18c50e6ea4fedb34c0ed59befdc3e12a3fad22d
Homepage: https://cran.r-project.org/package=childesr
Description: CRAN Package 'childesr' (Accessing the 'CHILDES' Database)
 Tools for connecting to 'CHILDES', an open repository for transcripts of
 parent-child interaction. For more information on the underlying data, see
 <https://langcog.github.io/childes-db-website/>.

Package: r-cran-childeswordfreq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-childesr, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-writexl, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-childeswordfreq_0.1.0-1.ca2004.1_all.deb
Size: 19524
MD5sum: 625c99413daf41d796527248b2a8d6ba
SHA1: 59868d104cedf8899e3b67c16c75d3258897bcd9
SHA256: f987f2e058887402f2120d304bf80b8e732a66e9775aaa27b9afecfce32ef371
SHA512: 4af956157192df1ad2e22c2ea4a47c5d6b019782b0f8135d808af5cab4205a40a52d220b2f0f21485d2d57b6706124cefa3c617d909b9819aced576eb8dae153
Homepage: https://cran.r-project.org/package=childeswordfreq
Description: CRAN Package 'childeswordfreq' (Word Frequency Extraction and Summarization)
 Provides tools to extract word frequencies from the CHILDES (Child Language
 Data Exchange System) corpus. The main function allows users to input a list
 of words and receive speaker-role-specific frequency counts and a summary of
 the dataset. The output includes Excel-formatted tables of word counts and
 metadata summaries such as number of speakers, transcripts, children, and
 token counts. Useful for researchers studying early language acquisition,
 corpus linguistics, and speaker role variation. The CHILDES database is
 maintained at <https://childes.talkbank.org/>.

Package: r-cran-childfree
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rio, r-cran-rcurl
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-childfree_0.0.4-1.ca2004.1_all.deb
Size: 228936
MD5sum: 26516cd010a5a3598d78a0bf3c862c5e
SHA1: 2682f8e03d742057bcf85e872e8fbf9c42dc1887
SHA256: 8db159d5eda1c7e9b9831c25fe45fbc841120c1dcfd6004404c2541f723215c4
SHA512: 1327212186cbe900d83cb1292181b21ffdd29ef6e596fc9cab29990427307a90cbc2929e7ff999423e63eff7e52a4d32c44c81095485f56941fa1c3d14083e0d
Homepage: https://cran.r-project.org/package=childfree
Description: CRAN Package 'childfree' (Access and Harmonize Childfree Demographic Data)
 Reads demographic data from a variety of public data sources, extracting and
 harmonizing variables useful for the study of childfree individuals. The
 identification of childfree individuals and those with other family statuses
 uses Neal & Neal's (2024) "A Framework for Studying Adults who Neither have
 Nor Want Children" <doi:10.1177/10664807231198869>; A pre-print is available
 at <doi:10.31234/osf.io/fa89m>.

Package: r-cran-childsds
Architecture: all
Version: 0.9.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3757
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-tidyselect, r-cran-boot, r-cran-class, r-cran-tibble, r-cran-reshape2, r-cran-purrr, r-cran-purrrlyr, r-cran-vgam, r-cran-interp, r-cran-lubridate, r-cran-ggplot2, r-cran-scales, r-cran-desctools, r-cran-colorspace, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-childsds_0.9.11-1.ca2004.1_all.deb
Size: 3696236
MD5sum: 5bf916d81949f1cc4ad7ce5099cc0de4
SHA1: 031283b813579cf2d8f327b7c7a942029457c845
SHA256: 76d43a45927cb618bf8d3d301e308bba5bbde927391a12f9e77ee025f69ebe70
SHA512: 90cb0bce0728781788e1e0393b269cbe473b617ca614db6412dd95377c07145a19279931a834a4b9c691d411dfbec79088e8a506ba242fa0409d67a577ed2e57
Homepage: https://cran.r-project.org/package=childsds
Description: CRAN Package 'childsds' (Data and Methods Around Reference Values in Pediatrics)
 Calculation of standard deviation scores and percentiles adduced from
 different standards (WHO, UK, Germany, Italy, China, etc). Also, references
 for laboratory values in children and adults are available, e.g., serum
 lipids, iron-related blood parameters, IGF, liver enzymes. See package
 documentation for full list.

Package: r-cran-chilemapas
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2940
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf, r-cran-rmapshaper, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chilemapas_0.3.0-1.ca2004.1_all.deb
Size: 2845592
MD5sum: 90ec13a7cd2aa929be2a69ce2ca98e99
SHA1: a148c44dc3028346808d468ae28bc90b0a456a75
SHA256: ced6ab5e7d3835794a6672a732ed93cd184dc4c763f2e664d07df66665211735
SHA512: 71dfb465dd89ebf4116eeb5ffb01bd11e0754cb764560f15c90deaca33ff7582a9cf51ed434eea7d3bdaa5e7e455870c85c6b5f4f45ee8837b0a0199c19b3a1a
Homepage: https://cran.r-project.org/package=chilemapas
Description: CRAN Package 'chilemapas' (Mapas de las Divisiones Politicas y Administrativas de Chile(Maps of the Political and Administrative Divisions of Chile))
 Mapas terrestres con topologias simplificadas. Estos mapas no tienen
 precision geodesica, por lo que aplica el DFL-83 de 1979 de la Republica de
 Chile y se consideran referenciales sin validez legal.  No se incluyen los
 territorios antarticos y bajo ningun evento estos mapas significan que
 exista una cesion u ocupacion de territorios soberanos en contra del Derecho
 Internacional por parte de Chile. Esta paquete esta documentado
 intencionalmente en castellano asciificado para que funcione sin problema en
 diferentes plataformas.  (Terrestrial maps with simplified toplogies. These
 maps lack geodesic precision, therefore DFL-83 1979 of the Republic of Chile
 applies and are considered to have no legal validity.  Antartic territories
 are excluded and under no event these maps mean there is a cession or
 occupation of sovereign territories against International Laws from Chile.
 This package was intentionally documented in asciified spanish to make it
 work without problem on different platforms.)

Package: r-cran-chillmodels
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-chillr, r-cran-dplyr, r-cran-lubridate, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-chillmodels_1.0.2-1.ca2004.1_all.deb
Size: 77660
MD5sum: 874ca0a3ec1316609826fc300d062c7b
SHA1: 29d8fdb27f53d0a61d8527ec2168268d89b65070
SHA256: 5b1dbaf79fc0fd3bf15201d6d6c5d43df3171ac38398496eb8d4bbba0f5f5adb
SHA512: 6f20ea062a983f5e55bde14f48663a32449710217eabae9eefc328fe3e3911cb4530d5c13fa86b54d79ef90300056b70b0891b6e7e3f8cc00bc2f20194212d8f
Homepage: https://cran.r-project.org/package=ChillModels
Description: CRAN Package 'ChillModels' (Processing Chill and Heat Models for Temperate Fruit Trees)
 Calculates the chilling and heat accumulation for studies of the temperate
 fruit trees. The models in this package are: Utah (Richardson et al., 1974,
 ISSN:0018-5345), Positive Chill Units - PCU (Linsley-Noaks et al., 1995,
 ISSN:1017-0316), GDH-A - Growing Degree Hours by Anderson et al.(1986,
 ISSN:0567-7572), GDH-R - Growing Degree Hours by Richardson et al.(1975,
 ISSN:0018-5345), North Carolina (Shaltout e Unrath, 1983, ISSN:0003-1062),
 Landsberg Model (Landsberg, 1974, ISSN:0305-7364), Q10 Model (Bidabe, 1967,
 ISSN:0031-9368), Jones Model (Jones et al., 2013
 <DOI:10.1111/j.1438-8677.2012.00590.x>), Low-Chill Model (Gilreath and
 Buchanan, 1981, ISSN:0003-1062), Model for Cherry "Sweetheart" (Guak and
 Nielsen, 2013 <DOI:10.1007/s13580-013-0140-9>), Model for apple "Gala" (Guak
 and Nielsen, 2013 <DOI:10.1007/s13580-013-0140-9>), Taiwan Model (Lu et al.,
 2012 <DOI:10.17660/ActaHortic.2012.962.35>), Dynamic Model (Fishman et al.,
 1987, ISSN:0022-5193) adapted from the function Dynamic_Model() of the
 'chillR' package (Luedeling, 2018), Unified Model (Chuine et al., 2016
 <DOI:10.1111/gcb.13383>) and Heat Restriction model.

Package: r-cran-chinese.misc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jiebar, r-cran-nlp, r-cran-tm, r-cran-stringi, r-cran-slam, r-cran-matrix, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-chinese.misc_0.2.3-1.ca2004.1_all.deb
Size: 237676
MD5sum: 538954d39ac987a25712912dfb5832ad
SHA1: 68033fa2806318aaf84a12494a71c17bf4abbcd2
SHA256: bfd8267671a2471566b31777257c42edf07c73cfdff59a459ab7eeb7e9871789
SHA512: bd388de7120d703bd231d9f5010b7bed63e201d75659649806f9532e1b48818db3908571bf9565a99a75fcaf8c437fc8996b388667f061ea1d8f86fe9e6f2d41
Homepage: https://cran.r-project.org/package=chinese.misc
Description: CRAN Package 'chinese.misc' (Miscellaneous Tools for Chinese Text Mining and More)
 Efforts are made to make Chinese text mining easier, faster, and robust to
 errors.  Document term matrix can be generated by only one line of code;
 detecting encoding, segmenting and removing stop words are done
 automatically.  Some convenient tools are also supplied.

Package: r-cran-chinesenames
Architecture: all
Version: 2023.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-brucer, r-cran-data.table
Suggests: r-cran-babynames, r-cran-car, r-cran-dplyr, r-cran-glue
Filename: pool/dists/focal/main/r-cran-chinesenames_2023.8-1.ca2004.1_all.deb
Size: 419508
MD5sum: 8360e331e076f745584e60c6d4581283
SHA1: 40b7666809bbaf62e10c0e84ae5a85940808aa0d
SHA256: d7904e20d608a1c6891bb5ce4a018ef8a8716986dd005026157d7e68c3700568
SHA512: ab05bdd3720c88f1ebf2547e64add3e4fd907ed35f500af3022e348dcc496e71eed7ca18824e13d49e021c3de0b7c431303a5095da5ab815940566f8f7dd60e4
Homepage: https://cran.r-project.org/package=ChineseNames
Description: CRAN Package 'ChineseNames' (Chinese Name Database 1930-2008)
 A database of Chinese surnames and Chinese given names (1930-2008).  This
 database contains nationwide frequency statistics of 1,806 Chinese surnames
 and 2,614 Chinese characters used in given names, covering about 1.2 billion
 Han Chinese population (96.8% of the Han Chinese household-registered
 population born from 1930 to 2008 and still alive in 2008).  This package
 also contains a function for computing multiple features of Chinese surnames
 and Chinese given names for scientific research (e.g., name uniqueness, name
 gender, name valence, and name warmth/competence).

Package: r-cran-chippcr
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3085
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmtest, r-cran-mass, r-cran-outliers, r-cran-ptw, r-cran-quantreg, r-cran-rfit, r-cran-robustbase, r-cran-shiny, r-cran-signal
Suggests: r-cran-drc, r-cran-knitr, r-cran-markdown, r-cran-qpcr, r-cran-rdml, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tinytex, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-chippcr_1.0-2-1.ca2004.1_all.deb
Size: 2941464
MD5sum: 857f00ea6998138c15952343a00efc63
SHA1: 72b1d67e74a98f0ce5bbaf896c962765a23be5c5
SHA256: 436e2ffadc9db8ebc76ced81b0ceeaf3ea65657ef660044f31342d3b3f21b98b
SHA512: 9d12b18c7c01e0b9b6256c117cf484ec82027c8cf7b0924c4fe748d0b0885e9183560d5bf264444686ff916ed804976e86175045d129b048949ae845c6aa4628
Homepage: https://cran.r-project.org/package=chipPCR
Description: CRAN Package 'chipPCR' (Toolkit of Helper Functions to Pre-Process Amplification Data)
 A collection of functions to pre-process amplification curve data from
 polymerase chain reaction (PCR) or isothermal amplification reactions.
 Contains functions to normalize and baseline amplification curves, to detect
 both the start and end of an amplification reaction, several smoothers
 (e.g., LOWESS, moving average, cubic splines, Savitzky-Golay), a function to
 detect false positive amplification reactions and a function to determine
 the amplification efficiency. Quantification point (Cq) methods include the
 first (FDM) and second approximate derivative maximum (SDM) methods
 (calculated by a 5-point-stencil) and the cycle threshold method. Data sets
 of experimental nucleic acid amplification systems ('VideoScan HCU',
 capillary convective PCR (ccPCR)) and commercial systems are included.
 Amplification curves were generated by helicase dependent amplification
 (HDA), ccPCR or PCR. As detection system intercalating dyes (EvaGreen, SYBR
 Green) and hydrolysis probes (TaqMan) were used. For more information see:
 Roediger et al. (2015) <doi:10.1093/bioinformatics/btv205>.

Package: r-cran-chirps
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1921
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-sf, r-cran-terra
Suggests: r-cran-climatrends, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-chirps_0.1.4-1.ca2004.1_all.deb
Size: 624400
MD5sum: 4eb8cf628ebc4384544b684eb762808d
SHA1: 4ddb0493689ad6e7f8ab63c594b941a9c479024f
SHA256: 5bedd29d468bd67ff52565fd977ff912a0e6a384e21f342a3cf65d4e84bb2a27
SHA512: 218021f66689925359ab86019ff17add905201b59a2e87d7344a53db859d3a3ec754d00573c1710878719d18f20ee5fedacad98f768cea61deb59a00a658685b
Homepage: https://cran.r-project.org/package=chirps
Description: CRAN Package 'chirps' (API Client for CHIRPS and CHIRTS)
 API Client for the Climate Hazards Center 'CHIRPS' and 'CHIRTS'.  The
 'CHIRPS' data is a quasi-global (50°S – 50°N) high-resolution (0.05
 arc-degrees) rainfall data set, which incorporates satellite imagery and
 in-situ station data to create gridded rainfall time series for trend
 analysis and seasonal drought monitoring. 'CHIRTS' is a quasi-global (60°S –
 70°N), high-resolution data set of daily maximum and minimum temperatures.
 For more details on 'CHIRPS' and 'CHIRTS' data please visit its official
 home page <https://www.chc.ucsb.edu/data>.

Package: r-cran-chisq.posthoc.test
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chisq.posthoc.test_0.1.2-1.ca2004.1_all.deb
Size: 16848
MD5sum: 1d35a3dd57e5ef4d97de5e557367394a
SHA1: 8e21d8dc4226a749eaa1bb3b76523982205bff0c
SHA256: ea27e5027b7d1b3657a5e98acead99d39184ecb0334172bdb399d02994977cf0
SHA512: 7e47ea5699973e33d0f7d1c8037f3d0d0cf3dd046396587bb035a5e12898eeb1910d74dc76568505a24be95af3e8b6e84bd698acf4e722307d9746fcff031558
Homepage: https://cran.r-project.org/package=chisq.posthoc.test
Description: CRAN Package 'chisq.posthoc.test' (A Post Hoc Analysis for Pearson's Chi-Squared Test for CountData)
 Perform post hoc analysis based on residuals of Pearson's Chi-squared Test
 for Count Data based on T. Mark Beasley & Randall E. Schumacker (1995) <doi:
 10.1080/00220973.1995.9943797>.

Package: r-cran-chisquare
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gt
Filename: pool/dists/focal/main/r-cran-chisquare_1.1.1-1.ca2004.1_all.deb
Size: 122360
MD5sum: 2caa27afcbc5fb2e9104eb7518431b74
SHA1: 0be82be20bdbc88c6be4f4196beadab15a1f31a7
SHA256: 27ad6273d502df719aae5038beb90dc08ddb1804058150eacba495355d6e76ba
SHA512: 1939e81407ad3bc04d5595a61c5768ccfa2928180211e433b0c3b08a5fd2ed665cf3883a64a3ececa4c56aafc7e44632e3894ac12e3e6a599d011fe95d6b9c70
Homepage: https://cran.r-project.org/package=chisquare
Description: CRAN Package 'chisquare' (Chi-Square and G-Square Test of Independence, Power and ResidualAnalysis, Measures of Categorical Association)
 Provides the facility to perform the chi-square and G-square test of
 independence, calculates the retrospective power of the traditional
 chi-square test, compute permutation and Monte Carlo p-value, and provides
 measures of association for tables of any size such as Phi, Phi corrected,
 odds ratio with 95 percent CI and p-value, Yule' Q and Y, adjusted
 contingency coefficient, Cramer's V, V corrected, V standardised,
 bias-corrected V, W, Cohen's w, Goodman-Kruskal's lambda, and tau. It also
 calculates standardised, moment-corrected standardised, and adjusted
 standardised residuals, and their significance, as well as the Quetelet
 Index, IJ association factor, and adjusted standardised counts. It also
 computes the chi-square-maximising version of the input table. Different
 outputs are returned in nicely formatted tables.

Package: r-cran-chk
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 956
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-chk_0.10.0-1.ca2004.1_all.deb
Size: 654028
MD5sum: 17ea58b232b05ca20ebb115ee7b6870d
SHA1: 8a06451551efbf43f0944f040da8f21284474dc6
SHA256: f0c0eba746a221a1e1af96415a6acb37c410db377921d4e1461b7fa7ec578cf9
SHA512: 64cf04bfec2d4f65fd92e61ff8d8bcadac77033604012221f08a5a4cf78bee84e67495e77b702eebfb5ac448600daf5364a3d065d187d0347371aff3f98c62d9
Homepage: https://cran.r-project.org/package=chk
Description: CRAN Package 'chk' (Check User-Supplied Function Arguments)
 For developers to check user-supplied function arguments.  It is designed to
 be simple, fast and customizable.  Error messages follow the tidyverse style
 guide.

Package: r-cran-chkptstanr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brms, r-cran-abind, r-cran-rdpack, r-cran-rstan
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-posterior
Filename: pool/dists/focal/main/r-cran-chkptstanr_0.1.1-1.ca2004.1_all.deb
Size: 867700
MD5sum: b3681d61bc21445c6dd60c4dac796ed4
SHA1: 25a52d513726b3349c2701a3117f7ebf9463b04a
SHA256: 9177dadba9e69fbf894bf7169f688bdb8293a8b4a8867e6d654b4f37254c39d9
SHA512: 1c2423bb4843ae28deacd9414cd2c4da9a1369c53e12e3c0d2bb33d5b5e76b4e6c891f61ce45dc6f262c30da113387fa2ad7acc9cbae49ccc879bb4813abbbdc
Homepage: https://cran.r-project.org/package=chkptstanr
Description: CRAN Package 'chkptstanr' (Checkpoint MCMC Sampling with 'Stan')
 Fit Bayesian models in Stan <doi: 10.18637/jss.v076.i01> with checkpointing,
 that is, the ability to stop the MCMC sampler at will, and then pick right
 back up where the MCMC sampler left off.  Custom 'Stan' models can be
 fitted, or the popular package 'brms' <doi: 10.18637/jss.v080.i01> can be
 used to generate the 'Stan' code. This package is fully compatible with the
 R packages 'brms', 'posterior', 'cmdstanr', and 'bayesplot'.

Package: r-cran-chlorpromaziner
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-chlorpromaziner_0.2.0-1.ca2004.1_all.deb
Size: 75740
MD5sum: 35b38b8ea60a6ddf3b8c0289013c2b6f
SHA1: 58d2232b192a38157933a9c2b0b0f9fd861b16ab
SHA256: ca59f1e7ffef290cb4d75846575abcdf4844cb683ca1bd7a54f16605c3b33b84
SHA512: 24eefbc4c738ff1f156ce0095ea83d980ed84a394f65a69504941de1ff4dee9fe1599eda6b6e93abfaa4b39ed98c93fe8e08058b0f3962c49a7d9256ddf4724c
Homepage: https://cran.r-project.org/package=chlorpromazineR
Description: CRAN Package 'chlorpromazineR' (Convert Antipsychotic Doses to Chlorpromazine Equivalents)
 As different antipsychotic medications have different potencies, the doses
 of different medications cannot be directly compared. Various strategies are
 used to convert doses into a common reference so that comparison is
 meaningful. Chlorpromazine (CPZ) has historically been used as a reference
 medication into which other antipsychotic doses can be converted, as
 "chlorpromazine-equivalent doses". Using conversion keys generated from
 widely-cited scientific papers, e.g. Gardner et. al 2010
 <doi:10.1176/appi.ajp.2009.09060802> and Leucht et al. 2016
 <doi:10.1093/schbul/sbv167>, antipsychotic doses are converted to CPZ (or
 any specified antipsychotic) equivalents. The use of the package is
 described in the included vignette. Not for clinical use.

Package: r-cran-chncapitalstock
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chncapitalstock_0.1.1-1.ca2004.1_all.deb
Size: 59204
MD5sum: ab0f7258a88db2accaa3b2809747d25d
SHA1: 3e720e88115572a24454bae8f6055185713a35d7
SHA256: 87b5defa24936ac13c4eda0a0212b95d941208e919194121b5315e6c45f30fa1
SHA512: c8e57d32f60ec3f6584a2e455db296356de7d5b98261df91c0143fdd16c87cd08b80dbf28b658c0b40cdaa9d6ad650b6123d8a16bc995a44cde90ee5bd0afe17
Homepage: https://cran.r-project.org/package=CHNCapitalStock
Description: CRAN Package 'CHNCapitalStock' (Compute Chinese Capital Stocks)
 Compute Chinese capital stocks in provinces level, based on Zhang (2008)
 <DOI:10.1080/14765280802028302>.

Package: r-cran-choicedes
Architecture: all
Version: 0.9-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-algdesign
Filename: pool/dists/focal/main/r-cran-choicedes_0.9-3-1.ca2004.1_all.deb
Size: 55088
MD5sum: b6ddf71fb0de6a1d2514d60ab20d6f74
SHA1: 2c6380952468619fec1c02569ffecbe700ca5126
SHA256: 30a695c94a91685c0a17263eea608acb29fd37dc27974500b25399cb4db30307
SHA512: cec556e83a6e024a9364fd7b373fc787403160889b88abf97a0a4fb7db20861b2037a78de8ea48678b905624ae95f8ed144377dbb656d6561163250d33ab99a3
Homepage: https://cran.r-project.org/package=choiceDes
Description: CRAN Package 'choiceDes' (Design Functions for Choice Studies)
 Design functions for DCMs and other types of choice studies (including
 MaxDiff and other tradeoffs).

Package: r-cran-choicemodelr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bayesm, r-cran-mass, r-cran-lattice, r-cran-matrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-choicemodelr_1.3.1-1.ca2004.1_all.deb
Size: 309564
MD5sum: 998fd2baf804e455e691fd3bb1017de6
SHA1: d8aba3a7a8bf6c704b3b2f16f2531bf22f33b45f
SHA256: 2012df14e98d2f3bb69efd5413505a605e88d4b5a19154951f9b9906ccfa1024
SHA512: 28ce9cde365702d8ae1387a3edc6a20a52d37179c03c167c651f09514a4697541c5e7f7c5c58bdf86e06a9863c2037714c837abcea19c1b8bd51c84cb20cf40d
Homepage: https://cran.r-project.org/package=ChoiceModelR
Description: CRAN Package 'ChoiceModelR' (Choice Modeling in R)
 Implements an MCMC algorithm to estimate a hierarchical multinomial logit
 model with a normal heterogeneity distribution. The algorithm uses a hybrid
 Gibbs Sampler with a random walk metropolis step for the MNL coefficients
 for each unit. Dependent variable may be discrete or continuous. Independent
 variables may be discrete or continuous with optional order constraints.
 Means of the distribution of heterogeneity can optionally be modeled as a
 linear function of unit characteristics variables.

Package: r-cran-choirbm
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-choirbm_0.0.2-1.ca2004.1_all.deb
Size: 231048
MD5sum: acc5aaf871e221acfe1a82c3806eb00f
SHA1: 5145dbbfbe522f6156e2a932f53df99d7a2cb3a7
SHA256: b1549f85bb3bb0f947fad245dd1a44b9cb10add04e75616fe912a219cfb35064
SHA512: 42fefa99712bd4ff6b2ece1410ce9669ce17d2e3db8e9e01f1371ebf675f2009ed06f6fc122bb4b6b54b4f1d8cf1245622d81afd368f5115e10a8549c1f1deb7
Homepage: https://cran.r-project.org/package=CHOIRBM
Description: CRAN Package 'CHOIRBM' (Plots the CHOIR Body Map)
 Collection of utility functions for visualizing body map data collected with
 the Collaborative Health Outcomes Information Registry.

Package: r-cran-cholera
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4623
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-deldir, r-cran-elevatr, r-cran-geosphere, r-cran-histdata, r-cran-igraph, r-cran-kernsmooth, r-cran-pracma, r-cran-rcolorbrewer, r-cran-rlang, r-cran-sp, r-cran-tanaka, r-cran-terra, r-cran-threejs, r-cran-tsp, r-cran-viridislite
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cholera_0.9.1-1.ca2004.1_all.deb
Size: 4359932
MD5sum: 09598a5c9e0e6e233a4f3a5df6499633
SHA1: 86c3d22e9aaf332ba0e7f03d90f93f8fe672152f
SHA256: 9eb33dbfe03becd645bec3914b20267ba72dfb252a952d0cce6e6690b3dcc8cb
SHA512: c3d1a2bc8742fcd981dcdb78fbc4ebe8cbeaa875a3a375c4bffdf459cf47413ac6c5188e607bd3fe181e35b6b0fb1f68922495e5c0d81e4928a352b7d54e04a2
Homepage: https://cran.r-project.org/package=cholera
Description: CRAN Package 'cholera' (Amend, Augment and Aid Analysis of John Snow's Cholera Map)
 Amends errors, augments data and aids analysis of John Snow's map of the
 1854 London cholera outbreak.

Package: r-cran-choosegcm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2831
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cluster, r-cran-cowplot, r-cran-factoextra, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-httr, r-cran-reshape2, r-cran-terra, r-cran-usedist
Suggests: r-cran-tictoc, r-cran-testthat, r-cran-sf, r-cran-knitr, r-cran-raster, r-cran-rmarkdown, r-cran-stars
Filename: pool/dists/focal/main/r-cran-choosegcm_1.0.2-1.ca2004.1_all.deb
Size: 2198864
MD5sum: 619383f74b4793f97c4b3365f152d9fc
SHA1: 77a93801d5c68de48ec2aa102fe1d4d3575e6dc6
SHA256: 47922c5c17a43df46480024206714bfcc174fb75aa83a72ab58fb5009f17a20f
SHA512: 3249c43f250b739b758ce23a9524f4f7d93adb8b126e8025932b5152ddcb5d28bd56ad49b698dde97ff67d3de6a155aee8537f1755600ffdfc84741902f2e2cf
Homepage: https://cran.r-project.org/package=chooseGCM
Description: CRAN Package 'chooseGCM' (Selecting General Circulation Models for Species DistributionModeling)
 Methods to help selecting General Circulation Models (GCMs) in the context
 of projecting models to future scenarios. It is provided clusterization
 algorithms, distance and correlation metrics, as well as a tailor-made
 algorithm to detect the optimum subset of GCMs that recreate the environment
 of all GCMs as proposed in Esser et al. (2025) <doi:10.1111/gcb.70008>.

Package: r-cran-choosepc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-choosepc_1.0-1.ca2004.1_all.deb
Size: 24692
MD5sum: 3a9fade4e94b3965feba079f0e3f71a4
SHA1: b807735cf5d21f06b1a1e6d0f4a1ec2e21fd8900
SHA256: a34cbb59b85ba31b028eb13c805b8c9b3764e7ab6902ace8b051b7bf7a8423b8
SHA512: 1120a35ab56e50b83df30289ae9dc4446eefe30ba5ab362f937cc8a6ba2d4f9cfe7df8e0cd71038edc221d3eabb334a3da3d36ca4ac26567e642495981957344
Homepage: https://cran.r-project.org/package=choosepc
Description: CRAN Package 'choosepc' (Choose the Number of Principal Components via RecistructionError)
 One way to choose the number of principal components is via the
 reconstruction error. This package is designed mainly for this purpose.
 Graphical representation is also supported, plus some other principal
 component analysis related functions. References include: Jolliffe I.T.
 (2002). Principal Component Analysis. <doi:10.1007/b98835> and Mardia K.V.,
 Kent J.T. and Bibby J.M. (1979). Multivariate Analysis. ISBN:
 978-0124712522. London: Academic Press.

Package: r-cran-choplump
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-coin, r-cran-survival
Filename: pool/dists/focal/main/r-cran-choplump_1.1.2-1.ca2004.1_all.deb
Size: 599040
MD5sum: 3b67748a3ada2e594c75cf556e652dd5
SHA1: ec5bd98143be6995c90ea882ac4ef01247fa9fa6
SHA256: bd3e70734d4c9642518676503f95ca039463568c3a8275224dd63a5d534ffb54
SHA512: 04f91594fc658cc78b2519c0d64f54b014e79464f830c9525464d2bfac49c4b4109afd9e5f2fac65d127c9c22f62a04c33243c751044f1b62f013ea9451ed9ae
Homepage: https://cran.r-project.org/package=choplump
Description: CRAN Package 'choplump' (Permutation Test for Some Positive and Many Zero Responses)
 Calculates permutation tests that can be powerful for comparing two groups
 with some positive but many zero responses (see Follmann, Fay, and Proschan
 <DOI:10.1111/j.1541-0420.2008.01131.x>).

Package: r-cran-chopper
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-normalp, r-cran-purrr, r-cran-ald, r-cran-evd, r-cran-generalizedhyperbolic, r-cran-fgarch, r-cran-forecast, r-cran-imputets, r-cran-changepoint, r-cran-lubridate, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chopper_1.0-1.ca2004.1_all.deb
Size: 75008
MD5sum: 2e1c57331f857b4481b8c0019e05957c
SHA1: b971122716d9bec7c594e515f11c5e7dba85d293
SHA256: c853def8760c5f23c3475f85328391e071aac393586118845322387cb43e7ed9
SHA512: ab3951d4a1a6909141548a3b93296f996e3e3f7e0221695e7ec6e19c34e5fe3e096e69ce861649a93b0de6ebeff838bf47af73ec2e9b954406be1104dc863fbf
Homepage: https://cran.r-project.org/package=chopper
Description: CRAN Package 'chopper' (Changepoint-Aware Ensemble for Probabilistic Modeling)
 Implements a changepoint-aware ensemble forecasting algorithm that combines
 Theta, TBATS (Trigonometric, Box-Cox transformation, ARMA errors, Trend,
 Seasonal components), and ARFIMA (AutoRegressive, Fractionally Integrated,
 Moving Average) using a product-of-experts approach for robust probabilistic
 prediction.

Package: r-cran-chor
Architecture: all
Version: 0.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 863
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-commonsmath
Suggests: r-bioc-graph, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-chor_0.0-4-1.ca2004.1_all.deb
Size: 394204
MD5sum: 9da1c769cd46d0b9945c1aece112f800
SHA1: 41fffc6c8657bdf6f07e439186a5a8021cac2e7d
SHA256: 35f9e546436010212262c53244f3619c1a6e92045997f99b99d7fb342cfd005c
SHA512: 8401a39a7887d6b21f9cb71bde09555c008ebcecd2c4db7be4970bbe3830d004d2a536ce673cc60319209abe89cb4799af81d7c755c6c7de99f6a5ad054e410e
Homepage: https://cran.r-project.org/package=ChoR
Description: CRAN Package 'ChoR' (Chordalysis R Package)
 Learning the structure of graphical models from datasets with thousands of
 variables.  More information about the research papers detailing the theory
 behind Chordalysis is available at
 <http://www.francois-petitjean.com/Research> (KDD 2016, SDM 2015, ICDM 2014,
 ICDM 2013).  The R package development site is
 <https://github.com/HerrmannM/Monash-ChoR>.

Package: r-cran-chords
Architecture: all
Version: 0.95.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chords_0.95.4-1.ca2004.1_all.deb
Size: 68724
MD5sum: 5bd4e03b3856699ca93e80efc9ee02e6
SHA1: 2e3f16c621d261fe99c2927f2411d7b66b160dc3
SHA256: a3bd372eba5df2fba45421ad8ef59fb1eb3178caa860b848d5239830e5f0d5a1
SHA512: 143065c064e96fc07d09a7ea1e43957d417c9ed0d2a82f7a3465ea188b1930747b835bbbb7b4c0fa9a30420d52746713d38253e66b47709911903bf06e28b906
Homepage: https://cran.r-project.org/package=chords
Description: CRAN Package 'chords' (Estimation in Respondent Driven Samples)
 Maximum likelihood estimation in respondent driven samples.

Package: r-cran-chores
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-ellmer, r-cran-miniui, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-streamy
Suggests: r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-chores_0.2.0-1.ca2004.1_all.deb
Size: 2071852
MD5sum: b33ef553d8d974f6eeca34b250f59470
SHA1: a49e638b70f220c93198654b86aa45e55ed74184
SHA256: eba9ecfd0335804ddeeda17bfd4850e1b062e1115fb5d127441b2cb94e1357a4
SHA512: 04e7dea33af35845033ce910a5289e94189968c49d24e381a7c02c5abf2a6bbe316537a215e96ea0c882066d308ea6bd58b453e3ecb7340ccdb63dad35e60f04
Homepage: https://cran.r-project.org/package=chores
Description: CRAN Package 'chores' (A Collection of Large Language Model Assistants)
 Provides a collection of ergonomic large language model assistants designed
 to help you complete repetitive, hard-to-automate tasks quickly.  After
 selecting some code, press the keyboard shortcut you've chosen to trigger
 the package app, select an assistant, and watch your chore be carried out.
 While the package ships with a number of chore helpers for R package
 development, users can create custom helpers just by writing some
 instructions in a markdown file.

Package: r-cran-choroplethr
Architecture: all
Version: 5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1791
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-hmisc, r-cran-stringr, r-cran-ggplot2, r-cran-dplyr, r-cran-r6, r-cran-ggrepel, r-cran-tigris, r-cran-sf, r-cran-tidycensus, r-cran-rnaturalearth
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-choroplethr_5.0.0-1.ca2004.1_all.deb
Size: 1782992
MD5sum: 1efa9094d0e53be7daa399d45e85b82a
SHA1: a9b751b6af6f5ccddf0b00837819e7f57a14ee9c
SHA256: 3fa5b139437154b12b711d088a8d3ab494a5f746d5d5b7238f35c0676e8ea22d
SHA512: ce76ff402a6b5a77935965665a626db79c6f043db9e07a2bb8bad3b4e83774604410ab6a4438a9637e6a66a2d2a1ae3970dafb79e572b06b7ac42b762b925c99
Homepage: https://cran.r-project.org/package=choroplethr
Description: CRAN Package 'choroplethr' (Create Color-Coded Choropleth Maps in R)
 Easily create color-coded (choropleth) maps in R. No knowledge of
 cartography or shapefiles needed; go directly from your geographically
 identified data to a highly customizable map with a single line of code!
 Supported geographies: U.S. states, counties, and census tracts, world
 countries and sub-country regions (e.g., provinces, prefectures, etc.).  One
 of the suggested packages, rnaturalearthhires, is not available on CRAN
 owing to its larger filesize (40MB). It can be installed from GitHub using
 remotes::install_github("https://github.com/ropensci/rnaturalearthhires").
 This package contains higher resolution sub-country maps and is only needed
 for the choropleth_admin1() function.

Package: r-cran-choroplethradmin1
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 18376
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-choroplethradmin1_1.1.1-1.ca2004.1_all.deb
Size: 13042660
MD5sum: cdfa09e85bf1f90dbe3c68fe93e44ad4
SHA1: 8dffa6531fe18fe334b36846af8b1449c84b88c5
SHA256: 01cfb2ad39aae6b291c809020bbbc337c9cdb64958d8def9953639ef824d5b49
SHA512: 1df59cd4529d969225405adda855f6a765d0917a273753b1b7657c422d4f8b66e4044111dd4c75c2b316b1448006e00437444c30e9d373be99b9fb6f43af5912
Homepage: https://cran.r-project.org/package=choroplethrAdmin1
Description: CRAN Package 'choroplethrAdmin1' (Contains an Administrative-Level-1 Map of the World)
 Contains an administrative-level-1 map of the world.  Administrative-level-1
 is the generic term for the largest sub-national subdivision of a country.
 This package was created for use with the choroplethr package.

Package: r-cran-choroplethrmaps
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2519
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-choroplethrmaps_1.0.1-1.ca2004.1_all.deb
Size: 2167948
MD5sum: 63661872cc9dfd827a2b3dded66b3505
SHA1: 672f55b54637810b568423dcd81c6101bc140ba3
SHA256: b61837e7b69e093af5ac13f00b618ed432b8f38ca0c9f0592c43988ac20514ba
SHA512: f0dbc48f98fbe4096f4db8fba2b86cc8954fe7b18cd7c51373cea4dc64ad432c4861359229039388d89759dc705edb0c82a31cb41cff10f546963090d05371a9
Homepage: https://cran.r-project.org/package=choroplethrMaps
Description: CRAN Package 'choroplethrMaps' (Contains Maps Used by the 'choroplethr' Package)
 Contains 3 maps. 1) US States 2) US Counties 3) Countries of the world.

Package: r-cran-chorrrds
Architecture: all
Version: 0.1.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-xml2, r-cran-rvest, r-cran-magrittr, r-cran-purrr, r-cran-forcats, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-network, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chorrrds_0.1.9.5-1.ca2004.1_all.deb
Size: 765708
MD5sum: 8aec600a4a1d6f47b23d1b4eae7090c1
SHA1: 5ab5ade810c046778f6861c1325ce97e971e0d57
SHA256: 8efecf33fa75ae61057e55676072c0210e095942b87ceccaaa5202827f7a758f
SHA512: 91fe0ceca1d26f66b5eb694d3eb3e4d51c718c82fc9807a68564cf1875904953c0209fd978cc1f96a1852fabcabd5a386d43050dccc0117109f024252a45e553
Homepage: https://cran.r-project.org/package=chorrrds
Description: CRAN Package 'chorrrds' (Music Chords Extraction)
 Extracts music chords from the 'CifraClub' website
 <https://www.cifraclub.com.br/>.  The package also has functions for
 cleaning the extracted data and feature extraction.

Package: r-cran-christmas
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-animation
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-christmas_1.4.0-1.ca2004.1_all.deb
Size: 167368
MD5sum: 97ac34a48d1f452634b31505aaf63c53
SHA1: 8c814504df754587df6c28f4ea7bf90e18a11488
SHA256: c68fafb2e9534a2380fe119f8e4249f99a8c979bf439ad5fd618f64451a31e59
SHA512: 83f809accaa55864158a2da01b65500f551585a8db1d5a2862d1ac735ce3428da089b944fcd51cfd938554870c14d348709ca74ce2f104aa904567db972b5149
Homepage: https://cran.r-project.org/package=christmas
Description: CRAN Package 'christmas' (Generation of Different Animated Christmas Cards)
 Generation of different Christmas cards, most of them being animated. Most
 of the cards can be generated in three languages (English, Catalan and
 Spanish). The collection started in 2009.

Package: r-cran-chromatographr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2831
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-chromconverter, r-cran-dynamictreecut, r-cran-fastcluster, r-cran-lattice, r-cran-minpack.lm, r-cran-ptw, r-cran-pvclust, r-cran-scales, r-cran-smoother
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr, r-cran-vpdtw
Filename: pool/dists/focal/main/r-cran-chromatographr_0.4.4-1.ca2004.1_all.deb
Size: 2710752
MD5sum: 04e79c1a12cec7c5c372529934237662
SHA1: f14e78d808b9bfab8422921d204aee01c6d7cb3b
SHA256: 57d2088f8e684b9c4f364d89abf968e90fbd7620f4cc20893b090568f549d9ad
SHA512: 7370cfaef61f8c7493d7cbc8da3049fffeb4b5265cc335a5e5bed875caf83bb9942f143a6d30209bb45fdba2cba02d2afbd668126f218ebfd1ac86bba82fc9b0
Homepage: https://cran.r-project.org/package=chromatographR
Description: CRAN Package 'chromatographR' (Chromatographic Data Analysis Toolset)
 Tools for high-throughput analysis of HPLC-DAD/UV chromatograms (or similar
 data). Includes functions for preprocessing, alignment, peak-finding and
 fitting, peak-table construction, data-visualization, etc.  Preprocessing
 and peak-table construction follow the rough formula laid out in alsace
 (Wehrens, R., Bloemberg, T.G., and Eilers P.H.C., 2015.
 <doi:10.1093/bioinformatics/btv299>. Alignment of chromatograms is available
 using parametric time warping (ptw) (Wehrens, R., Bloemberg, T.G., and
 Eilers P.H.C. 2015. <doi:10.1093/bioinformatics/btv299>) or variable penalty
 dynamic time warping (VPdtw) (Clifford, D., & Stone, G. 2012.
 <doi:10.18637/jss.v047.i08>).  Peak-finding uses the algorithm by Tom
 O'Haver
 <http://terpconnect.umd.edu/~toh/spectrum/PeakFindingandMeasurement.htm>.
 Peaks are then fitted to a gaussian or exponential-gaussian hybrid peak
 shape using non-linear least squares (Lan, K. & Jorgenson, J. W. 2001.
 <doi:10.1016/S0021-9673(01)00594-5>). See the vignette for more details and
 suggested workflow.

Package: r-cran-chromconverter
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1628
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bitops, r-cran-fs, r-cran-purrr, r-cran-readxl, r-cran-reticulate, r-cran-stringr, r-cran-tidyr, r-cran-rams, r-cran-tibble, r-cran-xml2, r-cran-bit64, r-cran-data.table, r-cran-base64enc, r-cran-jsonlite, r-cran-digest
Suggests: r-cran-ncdf4, r-cran-pbapply, r-cran-testthat, r-bioc-mzr
Filename: pool/dists/focal/main/r-cran-chromconverter_0.7.5-1.ca2004.1_all.deb
Size: 747828
MD5sum: 30c1a59b006e5d0e6beffb96365f00db
SHA1: 2499a8ec9f5df8014939bf49e7939caa5d116883
SHA256: b7c2933bdb179fbcf7389ea65e28ad66e03ad56f394cef80c827772bca4d82a2
SHA512: 8cb3818389aaa03b19c05f73a9f64d2dd421eaca307cb3d65ba29dd4f2a409d0f54924cccd0d1d7225b73af666f252c281f4f75de5c4e9d01ed79051c07a29a5
Homepage: https://cran.r-project.org/package=chromConverter
Description: CRAN Package 'chromConverter' (Chromatographic File Converter)
 Reads chromatograms from binary formats into R objects. Currently supports
 conversion of 'Agilent ChemStation', 'Agilent MassHunter', 'Shimadzu
 LabSolutions', 'ThermoRaw', and 'Varian Workstation' files as well as
 various text-based formats.  In addition to its internal parsers,
 chromConverter contains bindings to parsers in external libraries, such as
 'Aston' <https://github.com/bovee/aston>, 'Entab'
 <https://github.com/bovee/entab>, 'rainbow'
 <https://rainbow-api.readthedocs.io/>, and 'ThermoRawFileParser'
 <https://github.com/compomics/ThermoRawFileParser>.

Package: r-cran-chromer
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-httr
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chromer_0.8-1.ca2004.1_all.deb
Size: 43444
MD5sum: c8c10f20fe426f7c9b3a907645b6dccc
SHA1: 64327c5ed7762e0eddfca7aaba673d0fbfd2bfc0
SHA256: 064d169840859210f32983bbc5ae3593021415ad96331dc1b171e30f4a05d788
SHA512: 0c6852dbf5f72126d65cd63501e4636e2c8d70224175fa0fba785fe0505614bbe20e9a1e7e2f5caa15d4f900b70487371c84fcba717178fdeaf9ffbb89ad4623
Homepage: https://cran.r-project.org/package=chromer
Description: CRAN Package 'chromer' (Interface to Chromosome Counts Database API)
 A programmatic interface to the Chromosome Counts Database
 (<https://taux.evolseq.net/CCDB_web/>), Rice et al. (2014)
 <doi:10.1111/nph.13191>.  This package is part of the 'ROpenSci' suite
 (<https://ropensci.org>).

Package: r-cran-chromomap
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chromomap_4.1.1-1.ca2004.1_all.deb
Size: 716684
MD5sum: d965f0f75bfb1f40854666d78298b1ac
SHA1: 655707a5885545af921ca66bb12014e6ff7f3a23
SHA256: edbd1e854b13ef20c1be06a8b803173c9ee6980b1c7497d8d4b13394614aef3b
SHA512: 4f88ceb451e906442c72067ef33408c93a35cb097d79ae2e7bc8a8eef50b5a8a9bb0a770ac60660a37e8dee0ab60937bbc7ea9d7d0a69dd94ff263e62c03d854
Homepage: https://cran.r-project.org/package=chromoMap
Description: CRAN Package 'chromoMap' (Interactive Genomic Visualization of Biological Data)
 Provides interactive, configurable and elegant graphics visualization of the
 chromosomes or chromosome regions of any living organism allowing users to
 map chromosome elements (like genes, SNPs etc.) on the chromosome plot. It
 introduces a special plot viz. the "chromosome heatmap" that, in addition to
 mapping elements, can visualize the data associated with chromosome elements
 (like gene expression) in the form of heat colors which can be highly
 advantageous in the scientific interpretations and research work. Because of
 the large size of the chromosomes, it is impractical to visualize each
 element on the same plot. However, the plot provides a magnified view for
 each of chromosome locus to render additional information and visualization
 specific for that location. You can map thousands of genes and can view all
 mappings easily. Users can investigate the detailed information about the
 mappings (like gene names or total genes mapped on a location) or can view
 the magnified single or double stranded view of the chromosome at a location
 showing each mapped element in sequential order. The package provide
 multiple features like visualizing multiple sets, chromosome heat-maps,
 group annotations, adding hyperlinks, and labelling.  The plots can be saved
 as HTML documents that can be customized and shared easily. In addition, you
 can include them in R Markdown or in R 'Shiny' applications.

Package: r-cran-chromote
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 993
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-fastmap, r-cran-jsonlite, r-cran-later, r-cran-magrittr, r-cran-processx, r-cran-promises, r-cran-r6, r-cran-rlang, r-cran-websocket, r-cran-withr, r-cran-zip
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-showimage, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-chromote_0.5.1-1.ca2004.1_all.deb
Size: 609196
MD5sum: fa4da0abb0c65d648a068587cba26116
SHA1: eb2006304ba9990d4da4aa9a81d68af638ad31c6
SHA256: 73d4efc266eed0dbbc15323eddf3493bfb2afe2a5186e9228c36dac858f9608f
SHA512: 93a77cfbcfb17278a69bccc1d8a4cfcd842d65dd19f2e3a69e9ebed2e4a325f23be98a97ad74337d99efe30da562606ef66e5e43aac51dad2abd8e4d65e9c246
Homepage: https://cran.r-project.org/package=chromote
Description: CRAN Package 'chromote' (Headless Chrome Web Browser Interface)
 An implementation of the 'Chrome DevTools Protocol', for controlling a
 headless Chrome web browser.

Package: r-cran-chromseq
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-chromseq_0.1.3-1.ca2004.1_all.deb
Size: 87348
MD5sum: aca8b6f4fb24e9b3b2fb1f72c854b65b
SHA1: bb83a23d596a26e070e3b150fd20f8193280d129
SHA256: dc5f06041bf9843b9e32a7e296e8ce4a6308045e332199191162f792f47fc6a4
SHA512: c11fa0c373ceccf2809c9058192a4716c01dbfec9c50454a4d29282358a9febac23651c61cebdc196ddfed225a23a752c4522ef2ab37f5dcfb81034eeed75a39
Homepage: https://cran.r-project.org/package=chromseq
Description: CRAN Package 'chromseq' (Split Chromosome 'Fasta' File)
 Chromosome files in the 'Fasta' format usually contain large sequences like
 human genome.  Sometimes users have to split these chromosomes into
 different files according to their chromosome number. The 'chromseq' can
 help to handle this. So the selected chromosome sequence can be used for
 downstream analysis like motif finding. Howard Y. Chang(2019)
 <doi:10.1038/s41587-019-0206-z>.

Package: r-cran-chronicle
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2099
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-data.table, r-cran-dt, r-cran-dplyr, r-cran-dygraphs, r-cran-ggplot2, r-cran-glue, r-cran-knitr, r-cran-plotly, r-cran-prettydoc, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-rmdformats, r-cran-scales, r-cran-skimr, r-cran-viridis, r-cran-zoo
Suggests: r-cran-bookdown, r-cran-devtools, r-cran-flexdashboard, r-cran-pagedown, r-cran-rolldown, r-cran-rticles, r-cran-tufte, r-cran-xaringan
Filename: pool/dists/focal/main/r-cran-chronicle_0.3-1.ca2004.1_all.deb
Size: 243664
MD5sum: 4f978874ba516850674a537f46cea47d
SHA1: 69a8bea2fab5a0f6de8d80fb67e5b0397356dff4
SHA256: 281050d806df885a96ec2be97cba3b6a965f53e5d8514510aeb57c452b31a6f8
SHA512: b4c07b28e06a8c253022a59c2f1a04647d3e6cdf446787556e7b9feee70b2771923dcbc9968b06ebea3de19c41120e521bd063d4298d5bcf27d0252f5203c97d
Homepage: https://cran.r-project.org/package=chronicle
Description: CRAN Package 'chronicle' (Grammar for Creating R Markdown Reports)
 A system for creating R Markdown reports with a sequential syntax.

Package: r-cran-chronicler
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clipr, r-cran-diffobj, r-cran-dplyr, r-cran-maybe, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-chronicler_0.2.2-1.ca2004.1_all.deb
Size: 332584
MD5sum: 7d9cce113a7e18c5b039e03c2eeba60e
SHA1: 21225df53f8f69761f710bac5472f35066a24292
SHA256: f19e65807471b95a435a677e628d9100c413fbda5cfb28d0d853195e2e1de727
SHA512: 28b2d50a2081287e8fb7f8a9faa2e4ebf25e562fc28a096ad66470501c0a1ba921bc221aee57670dfa42274fbac7e035e7d78d6e05c87f4a0ad82b7894bf53dd
Homepage: https://cran.r-project.org/package=chronicler
Description: CRAN Package 'chronicler' (Add Logging to Functions)
 Decorate functions to make them return enhanced output. The enhanced output
 consists in an object of type 'chronicle' containing the result of the
 function applied to its arguments, as well as a log detailing when the
 function was run, what were its inputs, what were the errors (if the
 function failed to run) and other useful information.  Tools to handle
 decorated functions are included, such as a forward pipe operator that makes
 chaining decorated functions possible.

Package: r-cran-chronochrt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1182
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magick, r-cran-magrittr, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-readxl, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-chronochrt_0.1.3-1.ca2004.1_all.deb
Size: 842104
MD5sum: 5a3f1a73dfcd44bfde18e49be161b0c2
SHA1: a402f4e93a1a199cdbb8665d136a86ab7246b018
SHA256: 8a8ba038684b72f8977cc2c4005977dbd73c6b248a69c5df932fb5e3f2fd5134
SHA512: 0a2ae4102c0eaa982c5b4556cef41a74a058933bbfd2f79fc8c8b58ef252f8555697057a1f83efc9f1b978a142a2de2e5bca7f69de52fcceb24cc83f8c8a85e1
Homepage: https://cran.r-project.org/package=chronochrt
Description: CRAN Package 'chronochrt' (Creating Chronological Charts)
 Easy way to draw chronological charts from tables, aiming to include an
 intuitive environment for anyone new to R. Includes 'ggplot2' geoms and
 theme for chronological charts.

Package: r-cran-chronosphere
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 741
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-curl, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-chronosphere_0.6.1-1.ca2004.1_all.deb
Size: 591232
MD5sum: a0d15e4be7622ee5fea6eb905f6a05c3
SHA1: 803deb6127a5207f558ec5b44af57086876266ce
SHA256: 1e7aa7adab7d034bd6ccb068d937a7c8fbb8718133a574b5607eb7d6e3cd41fc
SHA512: 17f487ed5293d7b0429ca6ac811b49a45b8df8b122eb5a819b99092179ec41381af4fc85420e3e886cfc919db1b5313ada5167d744aa3590a026d8eeb1be35a9
Homepage: https://cran.r-project.org/package=chronosphere
Description: CRAN Package 'chronosphere' (Evolving Earth System Variables)
 The implemented functions allow the query, download, and import of
 remotely-stored and version-controlled data items. The inherent
 meta-database maps data files and import code to programming classes and
 allows access to these items via files deposited in public repositories. The
 purpose of the project is to increase reproducibility and establish version
 tracking of results from (paleo)environmental/ecological research.

Package: r-cran-chunked
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-laf, r-cran-rlang, r-cran-dbi, r-cran-progress
Suggests: r-cran-testthat, r-cran-rsqlite, r-cran-dbplyr
Filename: pool/dists/focal/main/r-cran-chunked_0.6.0-1.ca2004.1_all.deb
Size: 55440
MD5sum: 03028a3ec8a94aa99f6864fc0dd7e724
SHA1: f4c475bce606804afeb3371c9687dbb4b5ff5704
SHA256: e0fbff264f215e7b871d15edfe86aafdf5e850e397c3cae37188020a4e344d5e
SHA512: 4e1b4a05f41639694f5189c0c871177f6bf0dd6ff79544e26aba846dad945dc50bf9938ae20c08e23aeab1a697c10be7f6c3ae56120382b0c7b0c6994a318ba1
Homepage: https://cran.r-project.org/package=chunked
Description: CRAN Package 'chunked' (Chunkwise Text-File Processing for 'dplyr')
 Data stored in text file can be processed chunkwise using 'dplyr' commands.
 These are recorded and executed per data chunk, so large files can be
 processed with limited memory using the 'LaF' package.

Package: r-cran-chunkhooks
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-measurements, r-cran-prettyunits
Suggests: r-cran-spelling, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chunkhooks_0.0.1-1.ca2004.1_all.deb
Size: 29376
MD5sum: 22c52939084651fdddad19f11d94741e
SHA1: 6471e662578d1bf3b3d8ef3ac8ca99c966e714e8
SHA256: ac6f9fa3934c1625438349930f2edc8f8b8eb0d2eb96b584a0d871a3f38aa9dd
SHA512: b1d87c1de8a29cd1f1caa937bf02533b1d6daa5211e082e7f439e876ed6c1919eda54626cbf00742ba929751c72b030623aa8bb347d4657daf3451526599b948
Homepage: https://cran.r-project.org/package=chunkhooks
Description: CRAN Package 'chunkhooks' (Chunk Hooks for 'R Markdown')
 Set chunk hooks for 'R Markdown' documents <https://rmarkdown.rstudio.com/>,
 and improve user experience.  For example, change units of figure sizes,
 benchmark chunks, and number lines on code blocks.

Package: r-cran-chyper
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-chyper_0.3.1-1.ca2004.1_all.deb
Size: 65152
MD5sum: 40fce3a79402228701b7dd0e9ff7fa54
SHA1: bc2960397cdd15e2a755301893fa6ed77bb83400
SHA256: d2f7d28dd8a72f5c66c3a0aacb90f1fd1c980c19870401f5e6c3dcee69b912e6
SHA512: fcd84843c64c1123497f9963b8a5367d93a95b950f079c6a72184de15791795ca22f3fb209458f79f5cdf69b64f22315feaf2c9e832be3447c7caf8737458204
Homepage: https://cran.r-project.org/package=chyper
Description: CRAN Package 'chyper' (Functions for Conditional Hypergeometric Distributions)
 An implementation of the probability mass function, cumulative density
 function, quantile function, random number generator, maximum likelihood
 estimator, and p-value generator from a conditional hypergeometric
 distribution: the distribution of how many items are in the overlap of all
 samples when samples of arbitrary size are each taken without replacement
 from populations of arbitrary size.

Package: r-cran-cia
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bnlearn, r-cran-igraph, r-cran-doparallel, r-cran-foreach, r-cran-arrangements, r-cran-dplyr, r-cran-rlang, r-cran-fastmatch, r-cran-grain, r-cran-patchwork, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-gtools, r-cran-grbase, r-cran-ggplot2, r-cran-qgraph, r-cran-dagitty
Filename: pool/dists/focal/main/r-cran-cia_1.0.0-1.ca2004.1_all.deb
Size: 192764
MD5sum: 6efd45029e3d29b49e8d0d3ea1adcd9e
SHA1: 8195c40363fb4bc641cb043192ae0c8b9b7da19c
SHA256: 3e78a59abe2751f82f5729e1e204082a233f60a1d81a7006d624d6f92a5b659f
SHA512: c6a47194519f7e96282520af4d038c4063753e9757d708d9a55c2bc0083061092d3d7e02bac88fd6f5923da31598ab79fa332d73ed4a3a40376001b7686f7c96
Homepage: https://cran.r-project.org/package=cia
Description: CRAN Package 'cia' (Learn and Apply Directed Acyclic Graphs for Causal Inference)
 Causal Inference Assistance (CIA) for performing causal inference within the
 structural causal modelling framework. Structure learning is performed using
 partition Markov chain Monte Carlo (Kuipers & Moffa, 2017) and several
 additional functions have been added to help with causal inference. Kuipers
 and Moffa (2017) <doi:10.1080/01621459.2015.1133426>.

Package: r-cran-ciaawconsensus
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-stringr, r-cran-numderiv, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ciaawconsensus_1.3-1.ca2004.1_all.deb
Size: 70776
MD5sum: eae3e290ba05c0445bc8abd6bc3e23a5
SHA1: aa03852792fbb4379071e5db68e34bc5ca7248dc
SHA256: ca1b497d2092609263085b38f06e02508307fb93e1e2f9aedf88a42acd92f3f5
SHA512: 376b52af6effa06a2d5448c112366b25476a6cd0f6d590a9e51ee71f90a60b763e24874336fede0fa32fb93fedaa2e61342c24db0605dc152093b4a153d058e0
Homepage: https://cran.r-project.org/package=CIAAWconsensus
Description: CRAN Package 'CIAAWconsensus' (Isotope Ratio Meta-Analysis)
 Calculation of consensus values for atomic weights, isotope amount ratios,
 and isotopic abundances with the associated uncertainties using multivariate
 meta-regression approach for consensus building.

Package: r-cran-ciara
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-cran-ggplot2, r-cran-ggraph, r-cran-magrittr
Suggests: r-cran-circlize, r-cran-clustree, r-bioc-complexheatmap, r-cran-plotly, r-cran-seurat, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ciara_0.1.0-1.ca2004.1_all.deb
Size: 4488060
MD5sum: 67810d04e231d77e8c568c84f61c403c
SHA1: b155df98242460d2b600ce980c2a8d4481d6f78e
SHA256: 0af10903fc3a243f840861099b601ded4e275ce92be65b53f13c67e26e1ba8bd
SHA512: cfbd4a24a620c714c3b4a0acdcd383ed27c50f26afe2beeea923e8ed2c929a2ce1ec3666626e74e69bfe882ddf17031c63116d0fdff0456f9450d493e0853cf1
Homepage: https://cran.r-project.org/package=CIARA
Description: CRAN Package 'CIARA' (Cluster Independent Algorithm for Rare Cell Types Identification)
 Identification of markers of rare cell types by looking at genes whose
 expression is confined in small regions of the expression space
 <https://github.com/ScialdoneLab>.

Package: r-cran-cica
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1922
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ica, r-cran-rnifti, r-cran-rfast, r-cran-mclust, r-cran-plotly, r-cran-multiway, r-cran-magrittr, r-cran-neurobase, r-cran-oro.nifti, r-cran-servr, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-cica_1.1.1-1.ca2004.1_all.deb
Size: 1099676
MD5sum: a1dac874d4ebf9627d5bd626c00a3fa3
SHA1: 80ebe0658de5b146d54df3abdc5b4aaf240921ea
SHA256: 30eda0e625e4d98414fcdb506c1c08a2425ff3fda2ff6c83d1e94747686557b0
SHA512: 33d5129a63c8f9aaf3e2682abbe6996af0c669caff0d05f8ff3e511a25971d8bb54817d03514246fed449515e82c98b11b69210eae6daa038317c6c5f470b970
Homepage: https://cran.r-project.org/package=CICA
Description: CRAN Package 'CICA' (Clusterwise Independent Component Analysis)
 Clustering multi-subject resting state functional Magnetic Resonance Imaging
 data. This methods enables the clustering of subjects based on multi-subject
 resting state functional Magnetic Resonance Imaging data. Objects are
 clustered based on similarities and differences in cluster-specific
 estimated components obtained by Independent Component Analysis.

Package: r-cran-cicalibrate
Architecture: all
Version: 0.42.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lamw
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cicalibrate_0.42.2-1.ca2004.1_all.deb
Size: 28608
MD5sum: d26664ae0265157bd1faeb840b0175af
SHA1: ffcbe33e2702f138ae4aa7f7ccefc736affea6aa
SHA256: 4de90bba986305e61ea978d86c52011159df6fa074fadb4c0e9e633f4ad838a9
SHA512: 2aafb5a21049e115eadc49bc39abe1ea9061e88b32d488f037c52f81fc27eab859c8a43bed4acba3df0141fddd19332bda43558f3fc828bad4017a7b20b6d975
Homepage: https://cran.r-project.org/package=ciCalibrate
Description: CRAN Package 'ciCalibrate' (Calibration of Confidence Intervals to Support Intervals)
 Provides functionality for computing support intervals for univariate
 parameters based on confidence intervals or parameter estimates with
 standard errors (Pawel et al., 2022) <doi:10.48550/arXiv.2206.12290>.

Package: r-cran-ciccr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ciccr_0.3.0-1.ca2004.1_all.deb
Size: 560180
MD5sum: 6f3e50b4c3911892883605c8e1cf8bbb
SHA1: 09d7f184f4f391651385145a3d06b42aa4136110
SHA256: 7fc158f1dd041a382bc24034c30e493c14d14a055e45499f077b7ff8ce201411
SHA512: 14f309abe9bf958d5a7a87fabc4ddf70da1c55b3ad5c50ad12c5ac5ce37133780dde0aca12898844fc746ed0329cb3e50e64dedbe2985432bc43910cacf12cbf
Homepage: https://cran.r-project.org/package=ciccr
Description: CRAN Package 'ciccr' (Causal Inference in Case-Control and Case-Population Studies)
 Estimation and inference methods for causal relative and attributable risk
 in case-control and case-population studies under the monotone treatment
 response and monotone treatment selection assumptions.  For more details,
 see the paper by Jun and Lee (2023), "Causal Inference under Outcome-Based
 Sampling with Monotonicity Assumptions," <arXiv:2004.08318 [econ.EM]>,
 accepted for publication in Journal of Business & Economic Statistics.

Package: r-cran-cicerone
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-cicerone_1.0.4-1.ca2004.1_all.deb
Size: 378988
MD5sum: 0ed7756bff164c74ff698f198beac0a6
SHA1: 6856e43b6f84e2fea2626dbcf4fe8d3fc0801b7d
SHA256: 37e44a9ff39e5f3456528ffd5e9e286f964fe60a78be66006096891736bbd8db
SHA512: d2a112a9ed89566c36d9f6e1d58154d5fa0aa1555a7ac11755202ef6a9307c7013eeaa7d377a20057a6f05f6313fd2613a709655cee0a8e374af5d430b9eaab5
Homepage: https://cran.r-project.org/package=cicerone
Description: CRAN Package 'cicerone' (Provide Tours of 'Shiny' Applications)
 Provide step by step guided tours of 'Shiny' applications.

Package: r-cran-cici
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1098
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mgcv, r-cran-glmnet, r-cran-ggplot2, r-cran-doparallel, r-cran-foreach, r-cran-dorng, r-cran-rngtools
Filename: pool/dists/focal/main/r-cran-cici_0.9.5-1.ca2004.1_all.deb
Size: 1085048
MD5sum: ece665c3e427853b9e575a0a726f3886
SHA1: fb24928bdf1e5b12a4356894bcd5caa6e0c3f7b1
SHA256: 76c8a9869fdbb5dde6ac451bd5ab72e2c3449d4e0d7a8eff016b824c66847166
SHA512: e2028f29c2fd6ffab77c58864c4e3b346161a1238660c92d37ce96884af75689ed4081929c7dde76e92da8b7a133d11d554feaac5738d47bb578db018bbbfa3f
Homepage: https://cran.r-project.org/package=CICI
Description: CRAN Package 'CICI' (Causal Inference with Continuous (Multiple Time Point)Interventions)
 Estimation of counterfactual outcomes for multiple values of continuous
 interventions at different time points, and plotting of causal dose-response
 curves. Details are given in Schomaker, McIlleron, Denti, Diaz (2024)
 <doi:10.48550/arXiv.2305.06645>.

Package: r-cran-cider
Architecture: all
Version: 0.99.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2494
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-limma, r-bioc-edger, r-cran-foreach, r-cran-seurat, r-cran-pheatmap, r-cran-dbscan, r-cran-kernlab, r-cran-doparallel, r-cran-igraph, r-cran-ggplot2, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-statmod, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-cider_0.99.4-1.ca2004.1_all.deb
Size: 2082196
MD5sum: 745393cee95e7f479d32c363982a118f
SHA1: 16016e5ba402514163eacde40bccfcb50ca45d42
SHA256: 28d2118585707549ca18a542904919cddaa8acfc3c649d0026a3942ce22e4101
SHA512: 6b63ecc9a8218bee4d9f2d22385c0192d59c510d1944701b410470bae7b9992d31e4586e697f23109cc7fc5161782e518454927405ac9954db22980a983f1cc8
Homepage: https://cran.r-project.org/package=CIDER
Description: CRAN Package 'CIDER' (Meta-Clustering for scRNA-Seq Integration and Evaluation)
 A workflow of (a) meta-clustering based on inter-group similarity measures
 and (b) a ground-truth-free test metric to assess the biological correctness
 of integration in real datasets. See Hu Z, Ahmed A, Yau C (2021)
 <doi:10.1101/2021.03.29.437525> for more details.

Package: r-cran-ciee
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-lavaan, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ciee_0.1.1-1.ca2004.1_all.deb
Size: 367060
MD5sum: 3ecea8da4790da0e31ede753421f2991
SHA1: d05f5e7a63afd0418aff30165abdd87ecf539eb1
SHA256: fe52bddabc692f6b92092c17dcf7ec7f779c35e2f5b3ff2a1790ede85a217006
SHA512: 660adee63fa147be02f4bf2376d96fdceaa52e0a68be4b4815adb05dd05a964d02ad2488be39be921eb04c04459db2ccb7827a0067c58ea80857acf4e03ae54e
Homepage: https://cran.r-project.org/package=CIEE
Description: CRAN Package 'CIEE' (Estimating and Testing Direct Effects in Directed Acyclic Graphsusing Estimating Equations)
 In many studies across different disciplines, detailed measures of the
 variables of interest are available. If assumptions can be made regarding
 the direction of effects between the assessed variables, this has to be
 considered in the analysis. The functions in this package implement the
 novel approach CIEE (causal inference using estimating equations; Konigorski
 et al., 2018, <DOI:10.1002/gepi.22107>) for estimating and testing the
 direct effect of an exposure variable on a primary outcome, while adjusting
 for indirect effects of the exposure on the primary outcome through a
 secondary intermediate outcome and potential factors influencing the
 secondary outcome. The underlying directed acyclic graph (DAG) of this
 considered model is described in the vignette. CIEE can be applied to
 studies in many different fields, and it is implemented here for the
 analysis of a continuous primary outcome and a time-to-event primary outcome
 subject to censoring. CIEE uses estimating equations to obtain estimates of
 the direct effect and robust sandwich standard error estimates. Then, a
 large-sample Wald-type test statistic is computed for testing the absence of
 the direct effect. Additionally, standard multiple regression, regression of
 residuals, and the structural equation modeling approach are implemented for
 comparison.

Package: r-cran-cif
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cif_0.1.1-1.ca2004.1_all.deb
Size: 134152
MD5sum: 58075d70da6355c6a20e5529795a527e
SHA1: 919057e024e45030c6129f9ce817a3bdd80bf2e1
SHA256: 317c79b31081aab146044a76377373aceadd96cef02c35dc889f6637296893cd
SHA512: 23b6419a6dc2acf7dbab138c8c50a57d4430c156da2f4734bc3b5366d0561ccd6d03820c32bf5222ad6f7e5fb5f2d5d0b90a28e72c4b665360e5b4c04c7d9fb6
Homepage: https://cran.r-project.org/package=cif
Description: CRAN Package 'cif' (Cointegrated ICU Forecasting)
 Set of forecasting tools to predict ICU beds using a Vector Error Correction
 model with a single cointegrating vector. Method described in Berta, P.
 Lovaglio, P.G. Paruolo, P. Verzillo, S., 2020. "Real Time Forecasting of
 Covid-19 Intensive Care Units demand" Health, Econometrics and Data Group
 (HEDG) Working Papers 20/16, HEDG, Department of Economics, University of
 York,
 <https://www.york.ac.uk/media/economics/documents/hedg/workingpapers/2020/2016.pdf>.

Package: r-cran-cifinder
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ratesci, r-cran-boot, r-cran-rdpack, r-cran-kableextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cifinder_2.0.0-1.ca2004.1_all.deb
Size: 80412
MD5sum: 4e62a387af85e1135fb7ad6f06a95879
SHA1: e03bd60c58368c57b7639cb63ff8d436d1c1da0c
SHA256: 691a136c5b6a76f1f918311d19bed1fb9482b099a0535fecb72ffef3abe4f9d4
SHA512: 84be7a6385fc0d3c54325d9899ff88032662064b21b1aa69231abda8c192c7b8f5bee9b437900e9546e3ba7e83b70fe1a6c8370f57b98fa29933fbd2d5118060
Homepage: https://cran.r-project.org/package=CIfinder
Description: CRAN Package 'CIfinder' (Estimate the Confidence Intervals for Predictive Values)
 Computes confidence intervals for the positive predictive value (PPV) and
 negative predictive value (NPV) based on varied scenarios. In situations
 where the proportion of diseased subjects does not correspond to the disease
 prevalence (e.g. case-control studies), this package provides two types of
 solutions: 1) five methods for estimating confidence intervals for PPV and
 NPV via ratio of two binomial proportions including Gart & Nam (1988),
 Walter (1975), MOVER-J (Laud, 2017), Fieller (1954), and Bootstrap (Efron,
 1979); 2) three direct methods that compute the confidence intervals
 including Pepe (2003), Zhou (2007), and Delta. In prospective studies where
 the proportion of diseased subjects is an unbiased estimate of the disease
 prevalence, this package provides several methods for calculating the
 confidence intervals for PPV and NPV including Clopper-Pearson, Wald,
 Wilson, Agresti-Coull, and Beta. See the Details and References sections in
 the corresponding functions.

Package: r-cran-cifti
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2096
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-oro.nifti, r-cran-gifti, r-cran-r.utils
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rgl, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-cifti_0.4.5-1.ca2004.1_all.deb
Size: 1254444
MD5sum: debb541220b522afe67fb85c530e38d4
SHA1: c69626663bcf2d271125b0734837292b5e7b14f5
SHA256: 35f7a98954e2e75f08d8ac4b889bb915abfc2af8883bb80e9faca7b066d038ed
SHA512: 4a0c1b8e8a9c243c89fe7531b9a5b3274c4206aaa2a6c5c2899b7a2d4e0c1c744e954ade18df29f4134ba5c580ee050606d520cac269938b843728fd8caefbff
Homepage: https://cran.r-project.org/package=cifti
Description: CRAN Package 'cifti' (Toolbox for Connectivity Informatics Technology Initiative('CIFTI') Files)
 Functions for the input/output and visualization of medical imaging data in
 the form of 'CIFTI' files <https://www.nitrc.org/projects/cifti/>.

Package: r-cran-ciftitools
Architecture: all
Version: 0.17.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7315
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields, r-cran-gifti, r-cran-oro.nifti, r-cran-rnifti, r-cran-rcolorbrewer, r-cran-rgl, r-cran-viridislite, r-cran-xml2
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-htmlwidgets, r-cran-manipulatewidget, r-cran-webshot2, r-cran-knitr, r-cran-rmarkdown, r-cran-png, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ciftitools_0.17.4-1.ca2004.1_all.deb
Size: 5340324
MD5sum: ebc27146ef23f86b54e0b84711207473
SHA1: b8b857f0bcccf27f3b075fa4e8034571a24b40e3
SHA256: e0044f20350fab3104fa1a3172f623414e520ac7d154062c9cd7f7fcfb090c9f
SHA512: f1d06b6644d096c2b5112b2307cf0eb87da39a87ffdb70bfb2138158b73ea6bea4d3ac4f7ce9f0eef564c1906d3e0c47c9664bcdf8c149bad9417bf27a7bd1f3
Homepage: https://cran.r-project.org/package=ciftiTools
Description: CRAN Package 'ciftiTools' (Tools for Reading, Writing, Viewing and Manipulating CIFTI Files)
 CIFTI files contain brain imaging data in "grayordinates," which represent
 the gray matter as cortical surface vertices (left and right) and
 subcortical voxels (cerebellum, basal ganglia, and other deep gray matter).
 'ciftiTools' provides a unified environment for reading, writing,
 visualizing and manipulating CIFTI-format data. It supports the "dscalar,"
 "dlabel," and "dtseries" intents. Grayordinate data is read in as a "xifti"
 object, which is structured for convenient access to the data and metadata,
 and includes support for surface geometry files to enable
 spatially-dependent functionality such as static or interactive
 visualizations and smoothing.

Package: r-cran-cim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cim_1.0.0-1.ca2004.1_all.deb
Size: 49116
MD5sum: f0683dcd77f6e894afbcdc26d46fe961
SHA1: 07befc36737a1c8f6ebcc32982b33d2869b056d6
SHA256: 5908768e1a0517ca3763ca3f7b8b59577618b7f6dac50cb407df0f16cf59865c
SHA512: 2053dc405d0c416aaf8928f2e52d300d76e50032c7d2765044e3622dc969e7baf5fe3ae16b2f1b54767a64e27e6cc4dce7ecffe27a0c623d355f1fbb01acfdd4
Homepage: https://cran.r-project.org/package=CIM
Description: CRAN Package 'CIM' (Compositional Impact of Migration)
 Produces statistical indicators of the impact of migration on the
 socio-demographic composition of an area. Three measures can be used:
 ratios, percentages and the Duncan index of dissimilarity. The input data
 files are assumed to be in an origin-destination matrix format, with each
 cell representing a flow count between an origin and a destination area.
 Columns are expected to represent origins, and rows are expected to
 represent destinations. The first row and column are assumed to contain
 labels for each area. See Rodriguez-Vignoli and Rowe (2018)
 <doi:10.1080/00324728.2017.1416155> for technical details.

Package: r-cran-cimir
Architecture: all
Version: 0.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-glue, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cimir_0.4-1-1.ca2004.1_all.deb
Size: 106712
MD5sum: 6c4aabf02e36c338fb8ca0ada126a949
SHA1: 0999543d90f8bb3f0617a2f884716ce64c344cb5
SHA256: d430dc74230bce5ef95a1be26b4b9b4a87024abf0c2cb56034b464f41d750428
SHA512: da6a56a090a0210f9646f19ed7c6d4a9d15dfc575c6631c7a272728095d6f09abc991deac3df1f7b4626576c14315b0673cd3c41e6ff07a9d7bd0514ac272a7f
Homepage: https://cran.r-project.org/package=cimir
Description: CRAN Package 'cimir' (Interface to the CIMIS Web API)
 Connect to the California Irrigation Management Information System (CIMIS)
 Web API. See the CIMIS main page <https://cimis.water.ca.gov> and web API
 documentation <https://et.water.ca.gov> for more information.

Package: r-cran-cimple
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-jmbayes2, r-cran-lme4, r-cran-mice, r-cran-nleqslv, r-cran-nlme, r-cran-statmod, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cimple_0.1.0-1.ca2004.1_all.deb
Size: 245860
MD5sum: 9be5f3bbdb9de9461eb76a4e0c16f028
SHA1: 21c219a9faa7ec1d449c19b2833cf0b69d72aba5
SHA256: 9b59d92f8d42add2bca19c7209adc56c53d08ff10c33701b5a1bfac3c8c39fb8
SHA512: 3cca3c0c5bb49be1ed96f1f05592ecce15d6210bc061183f8f206d2bd2a791863d1b45098bcbf1019a4710d84490381c415827924b7db915e81d2d47d396f09b
Homepage: https://cran.r-project.org/package=CIMPLE
Description: CRAN Package 'CIMPLE' (Analysis of Longitudinal Electronic Health Record (EHR) Datawith Possibly Informative Observational Time)
 Analyzes longitudinal Electronic Health Record (EHR) data with possibly
 informative observational time. These methods are grouped into two classes
 depending on the inferential task. One group focuses on estimating the
 effect of an exposure on a longitudinal biomarker while the other group
 assesses the impact of a longitudinal biomarker on time-to-diagnosis
 outcomes. The accompanying paper is Du et al (2024)
 <doi:10.48550/arXiv.2410.13113>.

Package: r-cran-cimtx
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nnet, r-cran-bart, r-cran-twang, r-cran-arm, r-cran-dplyr, r-cran-matching, r-cran-magrittr, r-cran-weightit, r-cran-tmle, r-cran-tidyr, r-cran-ggplot2, r-cran-cowplot, r-cran-mgcv, r-cran-metr, r-cran-stringr, r-cran-superlearner, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-cimtx_1.2.0-1.ca2004.1_all.deb
Size: 259596
MD5sum: 3aa9f63b5a4cd520cfd967330800c333
SHA1: 3da0e8320e89948249709d3efc6f7fd455e4378f
SHA256: bdefa893b17345fdea589e72ae1c6c85f3b11416909286a8eeeaa82ef8358cfa
SHA512: 1128b6c5c6c5c5aea20d7e8b6c54a87515c486cffe553fe23a84d099a7a2bcf1d9ba90b90b53ccb0e76725ac1a41f5ec2b9b4cf3ff96a94ae2b96237e5ae9ac0
Homepage: https://cran.r-project.org/package=CIMTx
Description: CRAN Package 'CIMTx' (Causal Inference for Multiple Treatments with a Binary Outcome)
 Different methods to conduct causal inference for multiple treatments with a
 binary outcome, including regression adjustment, vector matching, Bayesian
 additive regression trees, targeted maximum likelihood and inverse
 probability of treatment weighting using different generalized propensity
 score models such as multinomial logistic regression, generalized boosted
 models and super learner. For more details, see the paper by Hu et al.
 <doi:10.1177/0962280220921909>.

Package: r-cran-cinar
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4166
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-chipseeker, r-bioc-deseq2, r-cran-dplyr, r-bioc-edger, r-bioc-fgsea, r-bioc-genomicranges, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.mmusculus.ucsc.mm10.knowngene, r-cran-ggplot2, r-cran-ggrepel, r-bioc-limma, r-cran-pheatmap, r-bioc-preprocesscore, r-cran-rcolorbrewer, r-bioc-sva, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-cinar_0.2.3-1.ca2004.1_all.deb
Size: 3214520
MD5sum: f44c7c24e55f6af3676ea18be5f631bd
SHA1: d06e91b7f116763ca2c73096b87659e147d6efa9
SHA256: 1d4159f6cfdefd5aa69d7cc90dc42767ef0a9ecc463fa6af7519cb6c6555cd04
SHA512: b62451b606a20602350505cc4d8635d8db49e7bbbf2d91710cbc6e306af133a6ac1fd53884a1a56fff552255ee38916f1995f1643ba38afc191e2ad3687bd652
Homepage: https://cran.r-project.org/package=cinaR
Description: CRAN Package 'cinaR' (A Computational Pipeline for Bulk 'ATAC-Seq' Profiles)
 Differential analyses and Enrichment pipeline for bulk 'ATAC-seq' data
 analyses. This package combines different packages to have an ultimate
 package for both data analyses and visualization of 'ATAC-seq' data. Methods
 are described in 'Karakaslar et al.' (2021) <doi:10.1101/2021.03.05.434143>.

Package: r-cran-cinargenesets
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cinargenesets_0.1.1-1.ca2004.1_all.deb
Size: 263592
MD5sum: f681a02867880d9773105d26381133b1
SHA1: 53def8333213d2b53f888f1500e772eb4936b240
SHA256: 872157be68522bb88317eba9543147fe61f2f9340551813e615a63bd1f8ec054
SHA512: 375d2a9a8d61b0787ee9ff05bbfd6702da088406b5f4af3dc75c342f9d2abf409286ffa734e0fc9587c9f5fd6bca96084b6535b25a4d2f82825ec9ced9820b56
Homepage: https://cran.r-project.org/package=cinaRgenesets
Description: CRAN Package 'cinaRgenesets' (Ready-to-Use Curated Gene Sets for 'cinaR')
 Immune related gene sets provided along with the 'cinaR' package.

Package: r-cran-cine
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-tm, r-cran-tidytext, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-cine_0.1.3-1.ca2004.1_all.deb
Size: 206200
MD5sum: e9cd4b2a7747a24f1f85b4185ce30c7e
SHA1: 5eb35673012c3e6ac43183e9901638478f145e04
SHA256: bf27daa88f70a11428e42ac8dae31defd50a914a08109e17475ad4915aac111a
SHA512: 98067916c05f19a209a094b6a99edcaf29c04c28e14fec64410b55ab8e3b36c892385d3e7f8daba78edb91c7354ca17e48a5e004a5c0204b6f206e8a10b14bae
Homepage: https://cran.r-project.org/package=CINE
Description: CRAN Package 'CINE' (Classification International Normalized of Education)
 Function using lemmatization to classify educational programs according to
 the CINE(Classification International Normalized of Education) for Peru.

Package: r-cran-cinid
Architecture: all
Version: 1.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cinid_1.3-0-1.ca2004.1_all.deb
Size: 35268
MD5sum: 2df8f48707d69182dfa8fdfdc160c67f
SHA1: 8b834b458621e923d3ecf01101e69b90b7b8bd1f
SHA256: 2a14f936122b75045afcc3f7366ceeff8472d9629ad0b7fb3d3b0d4f17aeb590
SHA512: 062c23ea300c7d5b884ef20b2ee33de36f3401937f704f337f98e8c6a3de177048fbe512b677fd9403ed02c97d90ecc3a17eb2461a0bed3ce2f3e0e5cd7c4ad6
Homepage: https://cran.r-project.org/package=CINID
Description: CRAN Package 'CINID' (Curculionidae INstar IDentification)
 Method for identifying the instar of Curculionid larvae from the observed
 distribution of the headcapsule size of mature larvae.

Package: r-cran-cinmetrics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cinmetrics_0.1.0-1.ca2004.1_all.deb
Size: 72408
MD5sum: 1f71f90cf4f4b166d90a91a5dfe33787
SHA1: 657025ea450a05d3b2a874873e91b33830ff4f94
SHA256: 704ccb789b3461ca151fb2990ce256b730a32dfd79820bf26308369205fde2d8
SHA512: f3267eb8e3bb9237edda543a1c4bcd6606e9847628a3ce826b35672e043b7503540ea3d4efc8c59d0bab283ab4873d19649840946dd7c7b7bd4653bfc47819b1
Homepage: https://cran.r-project.org/package=CINmetrics
Description: CRAN Package 'CINmetrics' (Calculate Chromosomal Instability Metrics)
 Implement various chromosomal instability metrics. 'CINmetrics' (Chromosomal
 INstability metrics) provides functions to calculate various chromosomal
 instability metrics on masked Copy Number Variation(CNV) data at individual
 sample level. The chromosomal instability metrics have been implemented as
 described in the following studies: Baumbusch LO et al. 2013
 <doi:10.1371/journal.pone.0054356>, Davidson JM et al. 2014
 <doi:10.1371/journal.pone.0079079>, Chin SF et al. 2007
 <doi:10.1186/gb-2007-8-10-r215>.

Package: r-cran-cinna
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1074
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-network, r-cran-sna, r-cran-centiserve, r-cran-factominer, r-cran-factoextra, r-cran-ggally, r-cran-pheatmap, r-cran-corrplot, r-cran-dendextend, r-cran-viridis, r-cran-ggplot2, r-cran-rtsne, r-cran-plyr, r-cran-circlize, r-cran-intergraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cinna_1.2.2-1.ca2004.1_all.deb
Size: 760252
MD5sum: 6a6571f42850fd62fa0318391d08753a
SHA1: 7fffdcef9de2066aa3245624a11de6ec04775638
SHA256: a6c513fffe1e70b6b08cc6d32835ecf364597bccddaf1531f4e52a14f9016660
SHA512: 8f65c3626c38b3f244a05743f8cdb51550adb4c43c6859ce2ac25d27b4892f9ae9cf0cf7ae5170e56fd5ac1bc868696d9ad5258434629974bf79bc51a910e83d
Homepage: https://cran.r-project.org/package=CINNA
Description: CRAN Package 'CINNA' (Deciphering Central Informative Nodes in Network Analysis)
 Computing, comparing, and demonstrating top informative centrality measures
 within a network. "CINNA: an R/CRAN package to decipher Central Informative
 Nodes in Network Analysis" provides a comprehensive overview of the package
 functionality Ashtiani et al. (2018) <doi:10.1093/bioinformatics/bty819>.

Package: r-cran-ciperm
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ciperm_0.2.3-1.ca2004.1_all.deb
Size: 74424
MD5sum: 32aa55a353e2a9076b838fc7283a54bc
SHA1: 0df105b3368491d64f5f4e524027d056c0c67ccf
SHA256: 7260ebadb799e296b218b5ab73348ffe331f7e68ca8bc2cff8f66a8cca0f1f4c
SHA512: 8bfcfd6c16dc1beaaa12f015ddcc55eac22f118e00dc049c9b3d6561270d491ced923076408f82834766da00a358253e727b7e1ceb699b5f6b039608ada52bf1
Homepage: https://cran.r-project.org/package=CIPerm
Description: CRAN Package 'CIPerm' (Computationally-Efficient Confidence Intervals for Mean Shiftfrom Permutation Methods)
 Implements computationally-efficient construction of confidence intervals
 from permutation or randomization tests for simple differences in means,
 based on Nguyen (2009) <doi:10.15760/etd.7798>.

Package: r-cran-cipher
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cipher_1.0.0-1.ca2004.1_all.deb
Size: 36068
MD5sum: e7ad35b76bdf763e50df5e231266b023
SHA1: daa63a61016b6949ee8e1cbd39ff6ebe3f14ab90
SHA256: 736c48fad0b3c90f2d910c3697370fe9f807493dfc9a66af4af124587d9ce541
SHA512: 93091458b32e2ffd2bc0fdcdee1436f5c648c34c205f6c5ed302eb4b51890c0c75755360d949e1a41b17eb3a0417b2bfc9fbdd1897b6e3b688ab268f687bf41e
Homepage: https://cran.r-project.org/package=cipheR
Description: CRAN Package 'cipheR' (Encryption and Decryption with Text Ciphers)
 Encrypts and decrypts using basic ciphers. None of these should be used in
 place of real encryption using state of the art tools.  The ciphers included
 use methods described in the ciphers's Wikipedia and cryptography hobby
 websites.

Package: r-cran-ciphertext
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ciphertext_0.1.1-1.ca2004.1_all.deb
Size: 53648
MD5sum: da8810a211eed0f29c420a06538386a5
SHA1: 41a53788e8454f9954418c06a7b2115577ed3c4c
SHA256: 999f01f9ad4eb0caf7ccf52afc2eff039d520806c28e87b45b580740dd357a07
SHA512: 115f0d14ac76f087ffcc3cba31510f08cf4052599693f0fc790fe0123abb1e87323ca61d98197b337b3369bba78de6271883b88e5669dd4947fda3d5943a6841
Homepage: https://cran.r-project.org/package=ciphertext
Description: CRAN Package 'ciphertext' (Classical Cryptography Methods for Words and Phrases)
 Classical cryptography methods for words and brief phrases.  Substitution,
 transposition and concealment (null) ciphers are available, like Caesar,
 Vigenère, Atbash, affine, simple substitution, Playfair, rail fence,
 Scytale, single column, bifid, trifid, and Polybius ciphers.

Package: r-cran-ciplot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-multcomp
Suggests: r-cran-bsda, r-cran-fmsb
Filename: pool/dists/focal/main/r-cran-ciplot_1.0-1.ca2004.1_all.deb
Size: 28792
MD5sum: 66ecd0bad3986c26e1578fe50069d348
SHA1: 3864563837bb3ba27a21abfd21c56eb7b7565cd3
SHA256: c6cb27cb13d52d232a017e11dfd6ef7dd2c6cb00a8958f660f98749915170574
SHA512: 13fe132c3dd4ffb38c724cf53968b683e4474a2c6007f713c1eb19e9f6a57fa41b2649cd77a69d0a1ce2e41ef50a29f394e1b7077df87f863e7ac64b49c22e3a
Homepage: https://cran.r-project.org/package=CIplot
Description: CRAN Package 'CIplot' (Functions to Plot Confidence Interval)
 Plot confidence interval from the objects of statistical tests such as
 t.test(), var.test(), cor.test(), prop.test() and fisher.test() ('htest'
 class), Tukey test [TukeyHSD()], Dunnett test [glht() in 'multcomp'
 package], logistic regression [glm()], and Tukey or Games-Howell test
 [posthocTGH() in 'userfriendlyscience' package].  Users are able to set the
 styles of lines and points.  This package contains the function to calculate
 odds ratios and their confidence intervals from the result of logistic
 regression.

Package: r-cran-cipostselect
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-glmnet, r-cran-magrittr, r-cran-mlbench, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-cipostselect_0.2.1-1.ca2004.1_all.deb
Size: 63888
MD5sum: de7abb8e5e649c3f17bfbb61fbe28bf1
SHA1: 1fea9a0ce6aafdc773edabb625efe677309fac5f
SHA256: 496b1520edb368c73e21f684e642993a99f89ca46cf79b7c5a6d490ab4cba0e3
SHA512: 2513bd0768fb06ca0efa7aacde121c339c24f2d8b4ae28cc5232899b4ac02084340805d2e6cf2a7bbab10f62a10185b7f36ce50b8884107e8b27a916dc03a81c
Homepage: https://cran.r-project.org/package=CIpostSelect
Description: CRAN Package 'CIpostSelect' (Confidence Interval Post-Selection of Variable)
 Calculates confidence intervals after variable selection using repeated data
 splits. The package offers methods to address the challenges of
 post-selection inference, ensuring more accurate confidence intervals in
 models involving variable selection. The two main functions are 'lmps',
 which records the different models selected across multiple data splits as
 well as the corresponding coefficient estimates, and 'cips', which takes the
 lmps object as input to select variables and perform inferences using two
 types of voting.

Package: r-cran-cir
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cir_2.5.1-1.ca2004.1_all.deb
Size: 183704
MD5sum: 5894addf97d998de39ba0920ab3b0cdf
SHA1: 4bbaf26d6afbac708ae8e63f352c8fc40970fd1c
SHA256: 972ac679fa8bba2baa98168c69b1911cb828b931bc2cab605916469b300fd961
SHA512: 489f5486ab8e4d1bc12dc4c19b17cdda2b6a7513a7f6b847fd411e3703758d09c82ea0ef19d69622d8c9d8736453ec65f843bde9b2545604794ac808778a2983
Homepage: https://cran.r-project.org/package=cir
Description: CRAN Package 'cir' (Centered Isotonic Regression and Dose-Response Utilities)
 Isotonic regression (IR) and its improvement: centered isotonic regression
 (CIR). CIR is recommended in particular with small samples. Also, interval
 estimates for both, and additional utilities such as plotting dose-response
 data. For dev version and change history, see GitHub assaforon/cir.

Package: r-cran-circacompare
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-withr
Suggests: r-cran-testthat, r-cran-nlme, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-circacompare_0.2.0-1.ca2004.1_all.deb
Size: 143732
MD5sum: 9d8cb67c196ff394690399ae5f4f1642
SHA1: 77bc56a27d29c40eda923b6f65f1aec212b97ff5
SHA256: d59897b22a507c01d78398de5881d77acebdded463695ca5aaa9cc1097c03709
SHA512: 155024b7c1ddd5046a40c61b6f60ffbdc6eab395c5ab856ea2fa9098d4fdca887d5b26effc0e126d1346b11ff63ad9af9082e25b08ceec052a9a4d7bf4bb39e1
Homepage: https://cran.r-project.org/package=circacompare
Description: CRAN Package 'circacompare' (Analyses of Circadian Data)
 Uses non-linear regression to statistically compare two circadian rhythms.
 Groups are only compared if both are rhythmic (amplitude is non-zero).
 Performs analyses regarding mesor, phase, and amplitude, reporting on
 estimates and statistical differences, for each, between groups.  Details
 can be found in Parsons et al (2020) <doi:10.1093/bioinformatics/btz730>.

Package: r-cran-circer
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4693
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava, r-cran-rjsonio
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-circer_1.3.3-1.ca2004.1_all.deb
Size: 4291392
MD5sum: ae5132161b2f0f7f10d9aa9ccb4b9e2a
SHA1: 91e7934f4c9ca594794649c7447f4308cd1e1cf6
SHA256: 1c9b16e37a8d5e7cf886388c59e085465a66e146f1d8269d6d637611e849aa45
SHA512: 25e0836b933ffcdfea825f605a0a653d2247e1d2d59e8c285f2e611a8489a26b29c42817f592d09cbc381089cab578267c98ef5b0f40c95b5c8d98126e5f84d7
Homepage: https://cran.r-project.org/package=CirceR
Description: CRAN Package 'CirceR' (Construct Cohort Inclusion and Restriction Criteria Expressions)
 Wraps the 'CIRCE' (<https://github.com/ohdsi/circe-be>) 'Java' library
 allowing cohort definition expressions to be edited and converted to
 'Markdown' or 'SQL'.

Package: r-cran-circhelp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1920
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-gamlss, r-cran-mass, r-cran-mathjaxr, r-cran-patchwork
Suggests: r-cran-testthat, r-cran-circular, r-cran-knitr, r-cran-rmarkdown, r-cran-bambi, r-cran-mgcv, r-cran-ragg
Filename: pool/dists/focal/main/r-cran-circhelp_1.1-1.ca2004.1_all.deb
Size: 1448776
MD5sum: 3c455b076adddab3a279b011777af591
SHA1: 459d460d11197501b6d4a5c3fed7a5185a16dd26
SHA256: ed3c24e47e8ee7d3126ea34293692bac80f284ed455cd6e825e4169fa0af96bd
SHA512: 5aaa8c92176e40d151fd377718b23240b40aa8c00be774d4552c6ce42db1e504a3141f3e197e51a50c7a5e0e43babd535b4243b74ece35e6ecfc92d673b29e64
Homepage: https://cran.r-project.org/package=circhelp
Description: CRAN Package 'circhelp' (Circular Analyses Helper Functions)
 Light-weight functions for computing descriptive statistics in different
 circular spaces (e.g., 2pi, 180, or 360 degrees), to handle angle-dependent
 biases, pad circular data, and more. Specifically aimed for psychologists
 and neuroscientists analyzing circular data. Basic methods are based on
 Jammalamadaka and SenGupta (2001) <doi:10.1142/4031>, removal of cardinal
 biases is based on the approach introduced in van Bergen, Ma, Pratte, &
 Jehee (2015) <doi:10.1038/nn.4150> and Chetverikov and Jehee (2023)
 <doi:10.1038/s41467-023-43251-w>.

Package: r-cran-circle
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-gh, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-clipr, r-cran-covr, r-cran-gert, r-cran-knitr, r-cran-openssl, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-vcr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-circle_0.7.3-1.ca2004.1_all.deb
Size: 343548
MD5sum: e628121b25b6aca09713ecd90b4b28df
SHA1: 6dc755011a5b28715992027d06fd156873e1cbe9
SHA256: 721638722390ea228197d2b2d02fca770ed5e36eb49ba7bbc7dacb8b9e0481d9
SHA512: f0a23f24ca0e8b21c948615d13f50a91677aaad233346dadc95633f21eddd77180a4093e2ea40f8af90310a4daf68371ca71114769fad419399f190e38a1b5c3
Homepage: https://cran.r-project.org/package=circle
Description: CRAN Package 'circle' (R Client Package for Circle CI)
 Tools for interacting with the 'Circle CI' API
 (<https://circleci.com/docs/api/v2/>). Besides executing common tasks such
 as querying build logs and restarting builds, this package also helps
 setting up permissions to deploy from builds.

Package: r-cran-circles
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-circles_0.1.0-1.ca2004.1_all.deb
Size: 16072
MD5sum: 0a110fa07cbe22e82b673921e8f8cf6f
SHA1: 455f75343145754accb7a19cf6d0efaf13320b3f
SHA256: b762b00b0c6c9890fea86b50f13732eeaf6a3c882b9fba5f788baf091fb3c6ec
SHA512: 53c37043ed47e847894167696492303acf324251459e4095cc0bfddda66a64e86a53b3f52c9536a0d1db9799104df90b22d8c40a4368e5fa034ac4f6558e7ab7
Homepage: https://cran.r-project.org/package=circles
Description: CRAN Package 'circles' (A Small Package for Drawing Various Combinations of Circles)
 Contains the adaptation of bubblebath from 'MATLAB', developed by Adam Danz
 and available through the 'MATLAB' Central File Exchange, and the tools to
 transform a dataframe of radii and points to plot-able paths.

Package: r-cran-circlesintersections
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-circlesintersections_1.1-1.ca2004.1_all.deb
Size: 41544
MD5sum: 2c2eb1ca8af3740f168165596d974327
SHA1: 9c623e61c306fc82288726516a787357a4144f44
SHA256: 1b51a5343a135a1f1d6cb3ae710835d94e70e96a1307615dcfbb3aa8cd2c74e2
SHA512: 2338fe612066c7da8cb315fab0c58e101113e7f2bdf58abb44b3f3e59972a6532165b3c18c729d915dfdaf3244023b6ea373a4642ec1bd82f30b670c1673ed42
Homepage: https://cran.r-project.org/package=CirclesIntersections
Description: CRAN Package 'CirclesIntersections' (Algorithm for Computation of the Intersection Areas of N Circles)
 Implementation of Librino, Levorato, and Zorzi (2014) <doi:10.1002/wcm.2305>
 algorithm for computation of the intersection areas of an arbitrary number
 of circles.

Package: r-cran-circlesplot
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3007
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-circlesplot_1.1.0-1.ca2004.1_all.deb
Size: 1904288
MD5sum: b611400a3b9dd06b264e6284896b5832
SHA1: a6dd3568013b9860fd6eaa05e074700aba91cdf5
SHA256: 5cee87144ba4989658e912e6b625b541be3d8eb9403a2d228a38d10c1089146e
SHA512: 03e667d4f2600be2dc3a38109217bad13b575c250340bcf09a5d65622c24d74b8ce8bd3d26b9d5f2413fc4c223ab22c033aa785a171bbf48c26186d3b1a82f52
Homepage: https://cran.r-project.org/package=circlesplot
Description: CRAN Package 'circlesplot' (Visualize Proportions with Circles in a Plot)
 Method for visualizing proportions between objects of different sizes.  The
 proportions are drawn as circles with different diameters, which makes them
 ideal for visualizing proportions between planets.

Package: r-cran-circletyper
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-circletyper_1.0.2-1.ca2004.1_all.deb
Size: 20376
MD5sum: 64b4cb16d4e6a96c36c1a58a30667303
SHA1: f3da35d4bf07bbfb67ffe65b17d377c5190926d5
SHA256: 8fd5a5af27331c07e7a6db1c11d198a4405d6973e97e261d02a8108fdac816c8
SHA512: 592eb0c5c2bdad7340d738090e07da27db462720eddddb7c613f7744c8a99e4755520c04c790a10bb904c12297bbb88f8ddba701e696053f72f8bf84e29d0fc1
Homepage: https://cran.r-project.org/package=circletyper
Description: CRAN Package 'circletyper' (Curve Text Elements in 'Shiny' Using 'CircleType.js')
 Enables curving text elements in 'Shiny' apps.

Package: r-cran-circlize
Architecture: all
Version: 0.4.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3441
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-globaloptions, r-cran-shape, r-cran-colorspace
Suggests: r-cran-knitr, r-cran-dendextend, r-bioc-complexheatmap, r-cran-gridbase, r-cran-png, r-cran-markdown, r-cran-bezier, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-circlize_0.4.16-1.ca2004.1_all.deb
Size: 3282064
MD5sum: 9dd684feb9b4a584ef516f687ce14068
SHA1: 7a846e9e95ddf3037b3fc0a737f7b3f7f63e66d3
SHA256: f5277aa7082129f7b5ee733a168416817b05e8de6e1a070c904584733d9e1206
SHA512: 666e2e3b95d95a72fbdb0f1befa8ef63b02aff25db1137e6323ac403caa51538e15436bea072e2239ec2156601800b08fcf7139ff80689399dd969c702b3db11
Homepage: https://cran.r-project.org/package=circlize
Description: CRAN Package 'circlize' (Circular Visualization)
 Circular layout is an efficient way for the visualization of huge amounts of
 information. Here this package provides an implementation of circular layout
 generation in R as well as an enhancement of available software. The
 flexibility of the package is based on the usage of low-level graphics
 functions such that self-defined high-level graphics can be easily
 implemented by users for specific purposes. Together with the seamless
 connection between the powerful computational and visual environment in R,
 it gives users more convenience and freedom to design figures for better
 understanding complex patterns behind multiple dimensional data.  The
 package is described in Gu et al. 2014 <doi:10.1093/bioinformatics/btu393>.

Package: r-cran-circlizeplus
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5761
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-circlize
Suggests: r-cran-png, r-cran-ape, r-cran-dendextend, r-bioc-complexheatmap, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-circlizeplus_0.9.1-1.ca2004.1_all.deb
Size: 3867984
MD5sum: c6850e8821a486eac2481a5ccf61d455
SHA1: e98c1e854a8967ef5b7a17b19277d50e3338dff9
SHA256: 1a7f8e3739d35a8a25a25ec35b50f1ae6071d32db4c00d3f4c5c9f45a114c84f
SHA512: a3b4e5e1fd938b3a0186c501920dc1b655f9ca4fd67fbbda9fcc5a81d4bc336921003f8ecea09dacf4b2a56d6908ce072c6088c10e000bbc206578794eef561c
Homepage: https://cran.r-project.org/package=circlizePlus
Description: CRAN Package 'circlizePlus' (Using 'ggplot2' Feature to Write Readable R Code for CircularVisualization)
 A wrapper for 'circlize'. All components are based on classes and objects.
 Users can use the addition symbol (+) to combine components for a circular
 visualization with 'ggplot2' style.The package is described in Zhang Z, Cao
 T, Huang Y and Xia Y (2025) <doi:10.3389/fgene.2025.1535368>.

Package: r-cran-circmle
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-energy
Filename: pool/dists/focal/main/r-cran-circmle_0.3.0-1.ca2004.1_all.deb
Size: 124532
MD5sum: eee5aed3489436e9f5ad1a19112b26a8
SHA1: 3d17bc1d9739cc4bbefafd6e5e62039062c3087b
SHA256: c1d1bcf0ff925c19fa8d95e10e37560ee4238e0d0f828c4af9e43b4cf01a62d1
SHA512: c15962684bda717fa018e0cf92a9af51b66a5c498d026753b7efeb341fc59e48a326de25a101b08e39607426171c593084a9c731fa98c4cdcdb814ad2a280694
Homepage: https://cran.r-project.org/package=CircMLE
Description: CRAN Package 'CircMLE' (Maximum Likelihood Analysis of Circular Data)
 A series of wrapper functions to implement the 10 maximum likelihood models
 of animal orientation described by Schnute and Groot (1992)
 <DOI:10.1016/S0003-3472(05)80068-5>. The functions also include the ability
 to use different optimizer methods and calculate various model selection
 metrics (i.e., AIC, AICc, BIC).  The ability to perform variants of the
 Hermans-Rasson test and Pycke test is also included as described in Landler
 et al. (2019) <DOI:10.1186/s12898-019-0246-8>. The latest version also
 includes a new method to calculate circular-circular and circular-linear
 distance correlations.

Package: r-cran-circnntsr
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-circnntsr_2.3-1.ca2004.1_all.deb
Size: 250944
MD5sum: 6952608ba83a876ef0c40ee9d4d46729
SHA1: b7b045f10a9fe2933c34619b479d88c2566e2fa1
SHA256: c33b20739caef6def4b77c587a06a0fcf203d37b776fce21f25ba823967b4509
SHA512: cb42c29b81b160c4a59cbda7fb24789080fb01c1e0495bb70b1c48e44a254927e4d0f4d0a454d77987bba098870842305ba0843393f2c67c581b46bed8521529
Homepage: https://cran.r-project.org/package=CircNNTSR
Description: CRAN Package 'CircNNTSR' (Statistical Analysis of Circular Data using NonnegativeTrigonometric Sums (NNTS) Models)
 Includes functions for the analysis of circular data using distributions
 based on Nonnegative Trigonometric Sums (NNTS). The package includes
 functions for calculation of densities and distributions, for the estimation
 of parameters, for plotting and more.

Package: r-cran-circnntsraxial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-psychtools, r-cran-circnntsr
Filename: pool/dists/focal/main/r-cran-circnntsraxial_0.1.0-1.ca2004.1_all.deb
Size: 76220
MD5sum: 04233165f53f7b7f9005ba4194c79ee6
SHA1: d6fb5831e9ba312a8fd12e13b2d02976ca76b57e
SHA256: 50664f0a80131c7b9d240d50b4e6ac3ea117f171b00f3d0c18a9c42fe9e1f2a9
SHA512: 2944372e1936a1bf64dc59287afdb04d91c629b322c132ca87a0cda4f89e432dcb8b627270cb17390dcd3a77d654e80d81329c23defffa6a3d61d3d8f57f8f98
Homepage: https://cran.r-project.org/package=CircNNTSRaxial
Description: CRAN Package 'CircNNTSRaxial' (Axial Data using NNTS Models)
 Statistical analysis of axial using distributions Nonnegative Trigonometric
 Sums (NNTS). The package includes functions for calculation of densities and
 distributions, for the estimation of parameters, and more. Fernandez-Duran,
 J.J. and Gregorio-Dominguez, M.M. (2025), ''Multimodal distributions for
 circular axial data", <doi:10.48550/arXiv.2504.04681>.

Package: r-cran-circnntsrmult
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-psychtools, r-cran-circnntsr
Filename: pool/dists/focal/main/r-cran-circnntsrmult_0.1.0-1.ca2004.1_all.deb
Size: 154288
MD5sum: 5271f6accc2e056c936ddc1511f2ca68
SHA1: e3faf4df81fc7445ac3219283928eab7c1256e5e
SHA256: 1f60ee05f3f339208362d7fd09f167c2567131e9baeaec54e67e8ab168f08c23
SHA512: 7b4ab198a58d7ef092634919f97f68db8e5e7aa981e0300043f19d40f72dd59509664a4e6f1e3929fe879ce466eeb293a08dd1deead4c4e275e5b49a48bd7618
Homepage: https://cran.r-project.org/package=CircNNTSRmult
Description: CRAN Package 'CircNNTSRmult' (Multivariate Circular Data using MNNTS Models)
 A collection of utilities for the statistical analysis of multivariate
 circular data using distributions based on Multivariate Nonnegative
 Trigonometric Sums (MNNTS). The package includes functions for calculation
 of densities and distributions, for the estimation of parameters, and more.

Package: r-cran-circnntsrsymmetric
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-circnntsr
Filename: pool/dists/focal/main/r-cran-circnntsrsymmetric_0.1.0-1.ca2004.1_all.deb
Size: 44320
MD5sum: 4985896cd96005362466f2e6535249de
SHA1: 8385259f4856a53af598a5a84d8f9f26fb4f1c8a
SHA256: 3e3685c06738221461b34360056702bd68906b171a3389e36c243b29fa61cbed
SHA512: 9e1e6c3b40eb696871f21cfb7d2cf3553d1112412c6cad386d9bc01588b69109d16d1df8dfed95f2385de5a307eaa1203930cf82a85d55835637418c2d2acc41
Homepage: https://cran.r-project.org/package=CircNNTSRSymmetric
Description: CRAN Package 'CircNNTSRSymmetric' (Circular Data using Symmetric NNTS Models)
 The statistical analysis of circular data using distributions based on
 symmetric Nonnegative Trigonometric Sums (NNTS). It includes functions to
 perform empirical analysis and estimate the parameters of density functions.
 Fernandez-Duran, J.J. and Gregorio-Dominguez, M.M. (2025), "Multimodal
 Symmetric Circular Distributions Based on Nonnegative Trigonometric Sums and
 a Likelihood Ratio Test for Reflective Symmetry",
 <doi:10.48550/arXiv.2412.19501>.

Package: r-cran-circoutlier
Architecture: all
Version: 3.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circstats, r-cran-circular
Filename: pool/dists/focal/main/r-cran-circoutlier_3.2.3-1.ca2004.1_all.deb
Size: 51388
MD5sum: e5d70c17ca726376d9689ad7816ec850
SHA1: 79a56fc4f731ae31ccf70d95b0f87ad8e861fd00
SHA256: 316709ae8dc95982cc133a96a4cf09c0d76e446bb05f924f782bc9f48bbf6fd5
SHA512: cbdf841d978e16886212c4e490c6314e8ddb410dcb16bdcd411ac936c2dc34924ca28fe5c0e9c5d5a24b07006d489cdc888ed57ad6d18711ccdc9cce5f1cbb37
Homepage: https://cran.r-project.org/package=CircOutlier
Description: CRAN Package 'CircOutlier' (Detection of Outliers in Circular-Circular Regression)
 Detection of outliers in circular-circular regression models, modifying its
 and estimating of models parameters.

Package: r-cran-circstats
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-boot
Filename: pool/dists/focal/main/r-cran-circstats_0.2-7-1.ca2004.1_all.deb
Size: 172116
MD5sum: 403a71c1ccd10fe76eb879b666b55d83
SHA1: 57485c00de50a20459809ba730a1f1ecb0931af8
SHA256: 9c5ffe45e71bb1cb596e819c6269462c5e6bb7f56013411fbe17e4b29d1f3f26
SHA512: e8ab554126764dcdcad01b79dd6599ef579bd9d7c1c908d9181c4b7fc05d65d195db5cb7b440d9d90afb7c4b8985dcb5f550538510d6b2d41c9f9ab5e1fc1554
Homepage: https://cran.r-project.org/package=CircStats
Description: CRAN Package 'CircStats' (Circular Statistics, from "Topics in Circular Statistics" (2001))
 Circular Statistics, from "Topics in Circular Statistics" (2001) S. Rao
 Jammalamadaka and A. SenGupta, World Scientific.

Package: r-cran-circularev
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7576
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-mgcv, r-cran-circular, r-cran-npcirc, r-cran-ggplot2
Suggests: r-cran-plotly, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-circularev_0.1.1-1.ca2004.1_all.deb
Size: 1248724
MD5sum: 577a14d5cb3a0112f5c62e457c586eb9
SHA1: e0ad20acc2123f69354e9a2e31d7822677d2f9a0
SHA256: bde6d62db7a1d74b16bf0b47f73ecbee826d73cb7cea7798bab1adaa5599d662
SHA512: e6a244a87a93243630d17ad3efcce3e34e4e57680e71b98eefec3c16bde6e9da0a1d1d1d4d697551e8601c4028f9d49ca7fe09c43079228794bd11579f76c06d
Homepage: https://cran.r-project.org/package=circularEV
Description: CRAN Package 'circularEV' (Extreme Value Analysis for Circular Data)
 General functions for performing extreme value analysis on a circular domain
 as part of the statistical methodology in the paper by Konzen, E., Neves,
 C., and Jonathan, P. (2021). Modeling nonstationary extremes of storm
 severity: Comparing parametric and semiparametric inference. Environmetrics,
 32(4), e2667.

Package: r-cran-cirls
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-osqp, r-cran-coneproj, r-cran-truncatednormal
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cirls_0.3.1-1.ca2004.1_all.deb
Size: 65068
MD5sum: dad314c9edb61340aaf7055a79306ad5
SHA1: c510472fbcea5578055022c1ca2bc695ecdf2903
SHA256: f49c5479b4caf3523e01c70c22c43b6775fce36d95a8935c1c5fdb2d76e29e43
SHA512: 5480887edee884e40041a7d6be572838e3988a771697cbaf72ebd2d071ceb13d6bbd0d5349cc9d75d8670b72d41e882a5091cb9689304050368ca081e40bc10d
Homepage: https://cran.r-project.org/package=cirls
Description: CRAN Package 'cirls' (Constrained Iteratively Reweighted Least Squares)
 Routines to fit generalized linear models with constrained coefficients,
 along with inference on the coefficients. Designed to be used in conjunction
 with the base glm() function.

Package: r-cran-cis.dglm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dglm, r-cran-rcolorbrewer, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-cis.dglm_0.1.0-1.ca2004.1_all.deb
Size: 59088
MD5sum: d35805347fdd9ff28ead6140a33a486e
SHA1: 269dc8d8c8e67ae61c0ba1070f6439abe5dfa9f8
SHA256: f845be95bc5ce18dc4a9b9b1aca8fe880b0ff1dcc12dda5a2efe7280950c646b
SHA512: 7882992e26d9c069beee3a7eefdc01cc7ccc15322326af43754f3eaaeff87dcdbcf359231f54a19e9683e580347df1bd07f2191b075bda42c7035638c1f775b2
Homepage: https://cran.r-project.org/package=CIS.DGLM
Description: CRAN Package 'CIS.DGLM' (Covariates, Interaction, and Selection for DGLM)
 An implementation of double generalized linear model (DGLM) building with
 variable selection procedures and handling of interaction terms and other
 complex situations. We also provide a method of handling convergence issues
 within the dglm() function. The package offers a simulation function for
 generating simulated data for testing purposes and utilizes the forward
 stepwise variable selection procedure in model-building. It also provides a
 new custom bootstrap function for mean and standard deviation estimation and
 functions for building crossplots and squareplots from a data set.

Package: r-cran-cise
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-far, r-cran-gdata, r-cran-glmnet, r-cran-mass, r-cran-matrix, r-cran-rarpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cise_0.1.0-1.ca2004.1_all.deb
Size: 261464
MD5sum: 557d7fd90df930ba7189a040b83add72
SHA1: b348b1cf0422e4fa92364c8abef7ddc89a3955c1
SHA256: ddda9dd2dea002984ed6005a1cec22090c167f52569d97667108ad13c0360613
SHA512: f615221e508c163ed556fa1f781d2d2dcb71ade2caa9e1daae4dbf0a46fe3b73e8ed27a2ad6e334e1ef113ce78e3dc033668980ecbfa5d42576124d3b16a5b22
Homepage: https://cran.r-project.org/package=CISE
Description: CRAN Package 'CISE' (Common and Individual Structure Explained for Multiple Graphs)
 Specific dimension reduction methods for replicated graphs (multiple
 undirected graphs repeatedly measured on a common set of nodes). The package
 contains efficient procedures for estimating a shared baseline propensity
 matrix and graph-specific low rank matrices. The algorithm uses block
 coordinate descent algorithm to solve the model, which alternatively
 performs L2-penalized logistic regression and multiple partial eigenvalue
 decompositions, as described in the paper Wang et al. (2017)
 <arXiv:1707.06360>.

Package: r-cran-cisp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-gdverse, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-sdsfun, r-cran-sf, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cisp_0.1.0-1.ca2004.1_all.deb
Size: 313248
MD5sum: 57f9cc9cb5cecf8023b54efff442eb9f
SHA1: f78bd3ada81c1f8dd3939ef5721e2748478c961f
SHA256: 0f20b16019fcb8013377c5b9ccb8ec757f8998db5ee4ec5e3d5f6e444f44069e
SHA512: bff4c5ae565c10bbfb69136e285d54b99df1b9fe32335beea909243186195201fa3e8d83070823c2cddaab40dfe796abf143c3e9aabe3966ec215f204bcd16c1
Homepage: https://cran.r-project.org/package=cisp
Description: CRAN Package 'cisp' (A Correlation Indicator Based on Spatial Patterns)
 Use the spatial association marginal contributions derived from spatial
 stratified heterogeneity to capture the degree of correlation between
 spatial patterns.

Package: r-cran-citan
Architecture: all
Version: 2022.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-agop, r-cran-rsqlite, r-cran-stringi, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-citan_2022.1.1-1.ca2004.1_all.deb
Size: 946132
MD5sum: bdde7df798ee7d13218ee0ad89ed6eb4
SHA1: 1db5e307eec111f8c245dc46eddeb2818810ed7d
SHA256: ffdeee0cd9ad47f42e3faf353e2d259505190393c17ca2101edd4974513670a3
SHA512: d00436a8e3b78349db19859e8d84410063e40a22e6416065cc19967a574ab9c2b78748a1039d071e89b9517b757725f546d24f3c5746310a84a3206c77063348
Homepage: https://cran.r-project.org/package=CITAN
Description: CRAN Package 'CITAN' (CITation ANalysis Toolpack)
 Supports quantitative research in scientometrics and bibliometrics. Provides
 various tools for preprocessing bibliographic data retrieved, e.g., from
 Elsevier's SciVerse Scopus, computing bibliometric impact of individuals, or
 modelling phenomena encountered in the social sciences.  This package is
 deprecated, see 'agop' instead.

Package: r-cran-citation
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desc, r-cran-jsonlite, r-cran-withr, r-cran-yaml
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-citation_0.8.2-1.ca2004.1_all.deb
Size: 55164
MD5sum: 2e39dcaf6b2016eebb2120d4c0682aaa
SHA1: 9caa501a721fec5c0dcea828ee0ede3a04c489f4
SHA256: 832b8a923033e16df97f21116655a1dda2c39b4b09a8439f4ab9072617952427
SHA512: 9d37029ac54b1d9ae8d204de0a7cbbaa91b2c8089437dd874542889ea56af0d216cfd62205624da4dcc5b058fe28b865d06bede510ecde140863c450ebeb06a1
Homepage: https://cran.r-project.org/package=citation
Description: CRAN Package 'citation' (Software Citation Tools)
 A collection of functions to extract citation information from 'R' packages
 and to deal with files in 'citation file format'
 (<https://citation-file-format.github.io/>), extending the functionality
 already provided by the citation() function in the 'utils' package.

Package: r-cran-citationchaser
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-maditr, r-cran-mess, r-cran-networkd3, r-cran-scales, r-cran-tibble, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-citationchaser_0.0.4-1.ca2004.1_all.deb
Size: 242632
MD5sum: 227e8922328f2641360799212ed38103
SHA1: e39b18ad260d86b667e90aa9a37cc1aa08567aa7
SHA256: 30e92be3bfc579e11f1c857cd27270cbb6c016c919560bc2d68e80ec15f22c9e
SHA512: 57e2f0d4717bf3652e898b314f426cad92d28c47b2b2738a92226bc32155b864e50a19a224d1a257f0ce10350ae1f3359c8d5c9050e4539f23d996f59efa68d1
Homepage: https://cran.r-project.org/package=citationchaser
Description: CRAN Package 'citationchaser' (Perform Forward and Backwards Chasing in Evidence Syntheses)
 In searching for research articles, we often want to obtain lists of
 references from across studies, and also obtain lists of articles that cite
 a particular study. In systematic reviews, this supplementary search
 technique is known as 'citation chasing': forward citation chasing looks for
 all records citing one or more articles of known relevance; backward
 citation chasing looks for all records referenced in one or more articles.
 Traditionally, this process would be done manually, and the resulting
 records would need to be checked one-by-one against included studies in a
 review to identify potentially relevant records that should be included in a
 review. This package contains functions to automate this process by making
 use of the Lens.org API. An input article list can be used to return a list
 of all referenced records, and/or all citing records in the Lens.org
 database (consisting of PubMed, PubMed Central, CrossRef, Microsoft Academic
 Graph and CORE; <https://www.lens.org>).

Package: r-cran-citbcmst
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1616
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-citbcmst_1.0.4-1.ca2004.1_all.deb
Size: 1602188
MD5sum: 299db412db47f2532211dabd4764d68e
SHA1: 2784f5df1a55f7faf9e0d9e550fb1498e4dda92b
SHA256: 41da9106e261305febcd04bab7fc25c2e1864f7b57b25372d53ed3cf9efecb75
SHA512: 47d5c6b478f82f7d037fdb19a9647ff92facf21ae3d837f82816c3ec9af6b136f1f971b756514bc1ece5c7e1b0a7549fd747bc5d313a39c3fdf6585d577bb8cf
Homepage: https://cran.r-project.org/package=citbcmst
Description: CRAN Package 'citbcmst' (CIT Breast Cancer Molecular SubTypes Prediction)
 This package implements the approach to assign tumor gene expression dataset
 to the 6 CIT Breast Cancer Molecular Subtypes described in Guedj et al 2012.

Package: r-cran-citccmst
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-citccmst_1.0.2-1.ca2004.1_all.deb
Size: 496872
MD5sum: 6255b2909536467ae1681fb065a67936
SHA1: 4b59c49157421234cb574bac972921544825678f
SHA256: 1c45d2094d435b04c2103d41989b781712d8287d88c0ee45aa9e7870b3fd1142
SHA512: c1db13a1ba3a11be7c325a330aba0c6f2e51f166cf04e4b15a308cbe1cefccb9fbdb54c06cc2fa6ecbd73b1a32e774c74e3d71fbfabe5c6c8286cef3be3c2009
Homepage: https://cran.r-project.org/package=citccmst
Description: CRAN Package 'citccmst' (CIT Colon Cancer Molecular SubTypes Prediction)
 This package implements the approach to assign tumor gene expression dataset
 to the 6 CIT Colon Cancer Molecular Subtypes described in Marisa et al 2013.

Package: r-cran-citecorp
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-data.table, r-cran-fauxpas, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-vcr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-citecorp_0.3.0-1.ca2004.1_all.deb
Size: 39516
MD5sum: 82e0cba2f94d559d30b065c8a1f0c5b5
SHA1: f0b2957b63acc04e8d94cb40e42094fcba575637
SHA256: 715707c16f0acc3cafe9db4758730ad29e4c0cc2f94ed51deefc08a26f9caef4
SHA512: b3ed30b9749e295ef3a55240c995bdf52c1526080bc1c10d1b9efc3567174db2ce4214992cf77c0999dd20211115b3f95348bd68d03e03e01b0e0590ebf7a161
Homepage: https://cran.r-project.org/package=citecorp
Description: CRAN Package 'citecorp' (Client for the Open Citations Corpus)
 Client for the Open Citations Corpus (<http://opencitations.net/>).
 Includes a set of functions for getting one identifier type from another, as
 well as getting references and citations for a given identifier.

Package: r-cran-cities
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 812
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-plotly, r-cran-tidyr, r-cran-ggthemes
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cities_0.1.3-1.ca2004.1_all.deb
Size: 514592
MD5sum: 89dc6ee224e486b61bf9f66e045085f1
SHA1: 474e1023550d07acfdab2a43b591f25df3966fa6
SHA256: 0ca7fcdbc2e43901ac5dd66445bdc3dcc010f6eb8433c15bd4773ac9424db859
SHA512: b89d838c82c6de06ad2479e914afd58e92f6ade5c942ecb848a883572ad1abfb96b6495d283e1346888d2481a0b19b30168ccaad8924150e390a72414c74e2e2
Homepage: https://cran.r-project.org/package=cities
Description: CRAN Package 'cities' (Clinical Trials with Intercurrent Events Simulator)
 Simulates clinical trials and summarizes causal effects and treatment policy
 estimands in the presence of intercurrent events in a transparent and
 intuitive manner.

Package: r-cran-citmic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2003
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastmatch, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-citmic_0.1.2-1.ca2004.1_all.deb
Size: 1968772
MD5sum: 417ed32f67835cc6f6313a72bdc9d583
SHA1: da16afcf80b6b4733514c12f82aad86ac444a6ac
SHA256: 5d0f374c8234ab3a8a0feff5360f23ecadc4ddcdbaac79bcfd933ca2ca382eb1
SHA512: 3af3f8033737d90f0746ba0d88a9138cbd20f3459dba14e40a3876b9da6a60b46b41841c09740417bd4cc32e875e5fb4a5b9296bb21dc3a95a43c0d27181a9f9
Homepage: https://cran.r-project.org/package=CITMIC
Description: CRAN Package 'CITMIC' (Estimation of Cell Infiltration Based on Cell Crosstalk)
 A systematic biology tool was developed to identify cell infiltration via an
 Individualized Cell crosstalk network. 'CITMIC' first constructed a weighted
 cell crosstalk network by integrating Cell-target interaction information,
 biological process data from the Gene Ontology (GO) database, and gene
 transcriptomic data in a specific sample, and then, it used a network
 propagation algorithm on the network to identify cell infiltration for the
 sample. Ultimately, cell infiltration in the patient dataset was obtained by
 normalizing the centrality scores of the cells.

Package: r-cran-citmre
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-plotly, r-cran-rvest, r-cran-xml2, r-cran-xts
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-citmre_0.1.0-1.ca2004.1_all.deb
Size: 241016
MD5sum: fdbcdd94828caa7a6dbfecc3a87932fd
SHA1: d2f368aa4fdcb3bec8dc8a84b2af6e981d750e85
SHA256: bf15e4b8406e4b1b8dea0b7ec824a093fc5bd4dcdfad5b0f5958bfafb944b911
SHA512: 6336449bd91dd9561fd81e11abb8cf58329f0314eb4b6414eca810258f118c673a39fb985d61e3b5efc22f31b3daf224fbace7eac1c1eff2aaa01c6fd35ac85c
Homepage: https://cran.r-project.org/package=citmre
Description: CRAN Package 'citmre' (Colombian Index Tool Market Rate Exchange)
 Downloads the Representative Market Rate Exchange (RMRE) from the
 <www.datos.gov.co> source. Allows setting the data series in time
 frequencies, splitting the time series through start and end functions,
 transforming the data set in log returns or levels, and making a Dynamic
 graph.

Package: r-cran-cito
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3650
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coro, r-cran-checkmate, r-cran-torch, r-cran-gridextra, r-cran-parabar, r-cran-abind, r-cran-progress, r-cran-cli, r-cran-torchvision, r-cran-tibble, r-cran-lme4
Suggests: r-cran-spelling, r-cran-rmarkdown, r-cran-testthat, r-cran-plotly, r-cran-ggraph, r-cran-igraph, r-cran-ggplot2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cito_1.1-1.ca2004.1_all.deb
Size: 2570696
MD5sum: 6d484a5bb9b1845a8e2ea98c7b09448a
SHA1: bc033c79a7cbc43a8c29c8c5ab481b8e8467b69c
SHA256: 0ba2c296039040e9d6efd6855af7edd63135f07cbc629d1e381fe298022ad8e8
SHA512: 5c37e550ba19ca9cbd117c14b833c47e49db50f5bbb9bb3d08b2e73f50fa6a75191c71b0383c30828aeae6ab482db88cdaca87f700fe9fa969f0ca550425557c
Homepage: https://cran.r-project.org/package=cito
Description: CRAN Package 'cito' (Building and Training Neural Networks)
 The 'cito' package provides a user-friendly interface for training and
 interpreting deep neural networks (DNN). 'cito' simplifies the fitting of
 DNNs by supporting the familiar formula syntax, hyperparameter tuning under
 cross-validation, and helps to detect and handle convergence problems.  DNNs
 can be trained on CPU, GPU and MacOS GPUs. In addition, 'cito' has many
 downstream functionalities such as various explainable AI (xAI) metrics
 (e.g. variable importance, partial dependence plots, accumulated local
 effect plots, and effect estimates) to interpret trained DNNs. 'cito'
 optionally provides confidence intervals (and p-values) for all xAI metrics
 and predictions. At the same time, 'cito' is computationally efficient
 because it is based on the deep learning framework 'torch'. The 'torch'
 package is native to R, so no Python installation or other API is required
 for this package.

Package: r-cran-citools
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1325
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arm, r-cran-boot, r-cran-dplyr, r-cran-lme4, r-cran-mass, r-cran-survival
Suggests: r-cran-here, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spreda
Filename: pool/dists/focal/main/r-cran-citools_0.6.1-1.ca2004.1_all.deb
Size: 722500
MD5sum: 1185e13d60b746df21d82abe786b1f7e
SHA1: 7c38f5caef6d8ebf1ce9d35041e79e8fb75ffb82
SHA256: b15e6182fa14b6a3a8257d70ff50c53477c1b673d3867b3ba0ff1460463f4ebf
SHA512: b037e9015ec10a3882968bc1c18561a140a079ebd4642652671f3127c3cda5f2c681193006a8851373d5eaa6d807ed397c7f588dcd93e5a3d4e9b661ecf887cf
Homepage: https://cran.r-project.org/package=ciTools
Description: CRAN Package 'ciTools' (Confidence or Prediction Intervals, Quantiles, and Probabilitiesfor Statistical Models)
 Functions to append confidence intervals, prediction intervals, and other
 quantities of interest to data frames. All appended quantities are for the
 response variable, after conditioning on the model and covariates.  This
 package has a data frame first syntax that allows for easy piping.
 Currently supported models include (log-) linear, (log-) linear mixed,
 generalized linear models, generalized linear mixed models, and accelerated
 failure time models.

Package: r-cran-citrus
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-ggally, r-cran-clustmixtype, r-cran-treeclust, r-cran-rpart, r-cran-tibble, r-cran-rpart.plot, r-cran-stringr, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-citrus_1.0.2-1.ca2004.1_all.deb
Size: 187868
MD5sum: 3b4b5f2dea0e186f2d1cf6739ed66c58
SHA1: decaca34780c782d2f2a8c81400e0e922f51a598
SHA256: 264ac1ed0723da84b4523383a823faea4780d9893f02c076f794759eecdf4de4
SHA512: 3aa0d18623b074bf1d68fdb2aed807ac3d331a96a081e32509a7ee665ea2e192cb03297cb7fb7a1e80a7c0759e18c0fef3d8dbfa9f7ad5dfad944ee21ee6c8cd
Homepage: https://cran.r-project.org/package=citrus
Description: CRAN Package 'citrus' (Customer Intelligence Tool for Rapid Understandable Segmentation)
 A tool to easily run and visualise supervised and unsupervised state of the
 art customer segmentation.  It is built like a pipeline covering the 3 main
 steps in a segmentation project: pre-processing, modelling, and plotting.
 Users can either run the pipeline as a whole, or choose to run any one of
 the three individual steps.  It is equipped with a supervised option (tree
 optimisation) and an unsupervised option (k-clustering) as default models.

Package: r-cran-cityplot
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cityplot_2.0-1.ca2004.1_all.deb
Size: 29256
MD5sum: bae5e4e1089fd2f6705ea10a702235a5
SHA1: 56e3ca2b3ed6657c0e233427949665b65ddb531e
SHA256: f93d6af40d886e2b908dcc7aea0c7ffec360458051f36a3ce977da539600cf91
SHA512: a122b965af7e1fc71504cb7457144b439cef07d1a66a6669f7556db3f75e3c3d027bc6c4da05604b43ecd47014e08f3d299ef06fd46b9f7084b1581b56361484
Homepage: https://cran.r-project.org/package=CityPlot
Description: CRAN Package 'CityPlot' (Visualization of structure and contents of a database)
 Input: a csv-file for each database table and a controlfile describing
 relations between tables. Output: An extended ER diagram

Package: r-cran-citywaterbalance
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dataretrieval, r-cran-dplyr, r-cran-ecohydrology, r-cran-geoknife, r-cran-lubridate, r-cran-reshape2, r-cran-tgp, r-cran-xts, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-citywaterbalance_0.1.0-1.ca2004.1_all.deb
Size: 1096044
MD5sum: 22bbaf578c853efc9ed9a5ceedd766f4
SHA1: f9649d426cbad11a32f6f6166e1dec527b538828
SHA256: 640f6b3288d984a177f1c81745f18613b766d9a4dd8a77fa706a90a38dffc0dc
SHA512: c1b494781e34abf9e8116d8506dfb2f79c3b72f978f89d0b051e543d058e7214ffa9bb730ba213c50560368ea738446dd6e9445f6b409ac9395261750def7d16
Homepage: https://cran.r-project.org/package=CityWaterBalance
Description: CRAN Package 'CityWaterBalance' (Track Flows of Water Through an Urban System)
 Retrieves data and estimates unmeasured flows of water through the urban
 network. Any city may be modeled with preassembled data, but data for US
 cities can be gathered via web services using this package and dependencies
 'geoknife' and 'dataRetrieval'.

Package: r-cran-ciu
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcpp, r-cran-crayon, r-cran-ggplot2, r-cran-ggbeeswarm
Suggests: r-cran-mass, r-cran-caret, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-ciu_0.8-1.ca2004.1_all.deb
Size: 171484
MD5sum: 073f7cefe8f6318642170c71266cb066
SHA1: e21fe95bb57e50346b9fb5875fd010ce25036b36
SHA256: aff3090e5eb8eaf5685b2620a948b964ce37639beb78b1b92269b44f755f92bb
SHA512: dd5d7d9d85656ba8f430627c3b8199cc7d22d68fa49f149e3faac80eb8d2d86cf1b4b8aa2beda7c05d162043e9cc138414d1a14bf39ce42207c3a9852ab1f46e
Homepage: https://cran.r-project.org/package=ciu
Description: CRAN Package 'ciu' (Contextual Importance and Utility)
 Implementation of the Contextual Importance and Utility (CIU) concepts for
 Explainable AI (XAI). A description of CIU can be found in e.g. Främling
 (2020) <doi:10.1007/978-3-030-51924-7_4>.

Package: r-cran-ciuupi2
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-functional, r-cran-nloptr, r-cran-pracma, r-cran-precisesums, r-cran-statmod
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ciuupi2_1.0.1-1.ca2004.1_all.deb
Size: 94232
MD5sum: 4e3ac2ee386a1e23515ea68655ad5af9
SHA1: 3da5466c3a046350dc76b222194fefc5ffc79ef8
SHA256: a7674d01b66ad5fd41edfd2f6afeccb4f5ab75057ce84e1516fa7e2f26a2c742
SHA512: e213bfa58b9b5b0c099c614feb518c1fe5bc5296510fb45d5401c8fc9762fefadaedf36f2684c4cc41108a8c718f1033540f5373ea70e37e69c62c1c05561f99
Homepage: https://cran.r-project.org/package=ciuupi2
Description: CRAN Package 'ciuupi2' (Kabaila and Giri (2009) Confidence Interval)
 Computes a confidence interval for a specified linear combination of the
 regression parameters in a linear regression model with iid normal errors
 with unknown variance when there is uncertain prior information that a
 distinct specified linear combination of the regression parameters takes a
 specified number. This confidence interval, found by numerical nonlinear
 constrained optimization, has the required minimum coverage and utilizes
 this uncertain prior information through desirable expected length
 properties. This confidence interval is proposed by Kabaila, P. and Giri, K.
 (2009) <doi:10.1016/j.jspi.2009.03.018>.

Package: r-cran-ciuupi
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nloptr, r-cran-statmod, r-cran-functional, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ciuupi_1.2.3-1.ca2004.1_all.deb
Size: 129852
MD5sum: ae25ef30eafbd3e03989f9e45b09cbae
SHA1: 199d62fbbd85de66919036f11a56da63bfebdf36
SHA256: c00c3dbdb9baa03739a382176c3846a322713827bb479d81a61571cb903706d8
SHA512: ad34322068feca252ae0b86dd6ed4d11ff2ee16ff457698eeb2f605dab0bf5c936c6283a4305f71fd5bed0dc3bc06fec3fa88e5091ef2417020bff0fa2409801
Homepage: https://cran.r-project.org/package=ciuupi
Description: CRAN Package 'ciuupi' (Confidence Intervals Utilizing Uncertain Prior Information)
 Computes a confidence interval for a specified linear combination of the
 regression parameters in a linear regression model with iid normal errors
 with known variance when there is uncertain prior information that a
 distinct specified linear combination of the regression parameters takes a
 given value.  This confidence interval, found by numerical nonlinear
 constrained optimization, has the required minimum coverage and utilizes
 this uncertain prior information through desirable expected length
 properties.  This confidence interval has the following three practical
 applications.  Firstly, if the error variance has been accurately estimated
 from previous data then it may be treated as being effectively known.
 Secondly, for sufficiently large (dimension of the response vector) minus
 (dimension of regression parameter vector), greater than or equal to 30
 (say), if we replace the assumed known value of the error variance by its
 usual estimator in the formula for the confidence interval then the
 resulting interval has, to a very good approximation, the same coverage
 probability and expected length properties as when the error variance is
 known. Thirdly, some more complicated models can be approximated by the
 linear regression model with error variance known when certain unknown
 parameters are replaced by estimates. This confidence interval is described
 in Mainzer, R. and Kabaila, P.  (2019) <doi:10.32614/RJ-2019-026>, and is a
 member of the family of confidence intervals proposed by Kabaila, P. and
 Giri, K. (2009) <doi:10.1016/j.jspi.2009.03.018>.

Package: r-cran-civ
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-aer, r-cran-kcmeans
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-civ_0.1.0-1.ca2004.1_all.deb
Size: 39500
MD5sum: cd8748c2992c8027cbe74b8375fc727f
SHA1: a94035f9c192b5ba881e8b2e39e4816310e50331
SHA256: d3769455c0d8b6f2cb4eb34fa4040deabadca59198f8db3b6dd6bc378b14cbb0
SHA512: 8ff1f8d61c1d2e26fef5c8f1bc9323047d3ed91c2643c9c41cad4d9ea3aefeea1948e11fadf52a2d31b3098751d1c98af0f3aa400d5d0d8fbbeea81aa313091a
Homepage: https://cran.r-project.org/package=civ
Description: CRAN Package 'civ' (Categorical Instrumental Variables)
 Implementation of the categorical instrumental variable (CIV) estimator
 proposed by Wiemann (2023) <arXiv:2311.17021>. CIV allows for optimal
 instrumental variable estimation in settings with relatively few
 observations per category. To obtain valid inference in these challenging
 settings, CIV leverages a regularization assumption that implies existence
 of a latent categorical variable with fixed finite support achieving the
 same first stage fit as the observed instrument.

Package: r-cran-civis
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3774
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-future, r-cran-httr, r-cran-jsonlite, r-cran-memoise
Suggests: r-cran-feather, r-cran-ggplot2, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-roxygen2, r-cran-mockery, r-cran-r.utils, r-cran-rstudioapi, r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-civis_3.1.2-1.ca2004.1_all.deb
Size: 2894904
MD5sum: b692d5f03a6fc0a0edc255bb382f8899
SHA1: 8ba750a5f215cf1d4b87f5389599df39956d87a8
SHA256: 42f6336bcc1976ac8beebc80263492b561dc5797c63273cc922498fab948843e
SHA512: e6404ff21468f71c8cbd652a59549de49b39d2f6a0ddd1f7327686967425e986918038bc5a5787cd5f548610f14fd2892324903ff91bc27eebf9454ece7faee9
Homepage: https://cran.r-project.org/package=civis
Description: CRAN Package 'civis' (R Client for the 'Civis Platform API')
 A convenient interface for making requests directly to the 'Civis Platform
 API' <https://www.civisanalytics.com/platform/>.  Full documentation
 available 'here' <https://civisanalytics.github.io/civis-r/>.

Package: r-cran-ciw
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-xml, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ciw_0.0.2-1.ca2004.1_all.deb
Size: 18312
MD5sum: 9be2d722bc3f429d54f26b7bab9944cc
SHA1: 10bd19a3aee02b93eec723ae9c9c65418fef77aa
SHA256: b971610fa12313fac4d40bcf85f35b49a6b4fe831cfe4e3fbda0fd1308610922
SHA512: 606369a247fb4f537c0a8a8d5e6a0f78aba9b2151e54b9e582c47707f0363686214af6d5d2463ff0cba45249b96f46b5fd0a84b6e026949ecb44bb600001fd82
Homepage: https://cran.r-project.org/package=ciw
Description: CRAN Package 'ciw' (Watch the CRAN Incoming Directories)
 Directory reads and summaries are provided for one or more of the
 subdirectories of the <https://cran.r-project.org/incoming/> directory, and
 a compact summary object is returned.  The package name is a contraption of
 'CRAN Incoming Watcher'.

Package: r-cran-cjamp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 843
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimx
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cjamp_0.1.1-1.ca2004.1_all.deb
Size: 678976
MD5sum: 8cb813528c26484e02299f5d396c4abe
SHA1: 92521ed67896334f65c27629d418e321c59ab1a2
SHA256: 11d4f1e6f8d01b1a3eddfc87b15a6d1fc5960f8b0c3da962cf4f4a05977f0a1d
SHA512: bddfa664b3a84afa39d2b5b40404304ae29e089cc3010f6e0bcc388d0fbfe06ee82afbdd35cb01e939029255e42988c593d91143fcd907d1c438792bf2023e48
Homepage: https://cran.r-project.org/package=CJAMP
Description: CRAN Package 'CJAMP' (Copula-Based Joint Analysis of Multiple Phenotypes)
 We provide a computationally efficient and robust implementation of the
 recently proposed C-JAMP (Copula-based Joint Analysis of Multiple
 Phenotypes) method (Konigorski et al., 2019, submitted). C-JAMP allows
 estimating and testing the association of one or multiple predictors on
 multiple outcomes in a joint model, and is implemented here with a focus on
 large-scale genome-wide association studies with two phenotypes. The use of
 copula functions allows modeling a wide range of multivariate dependencies
 between the phenotypes, and previous results are supporting that C-JAMP can
 increase the power of association studies to identify associated genetic
 variants in comparison to existing methods (Konigorski, Yilmaz, Pischon,
 2016, <DOI:10.1186/s12919-016-0045-6>; Konigorski, Yilmaz, Bull, 2014,
 <DOI:10.1186/1753-6561-8-S1-S72>). In addition to the C-JAMP functions,
 functions are available to generate genetic and phenotypic data, to compute
 the minor allele frequency (MAF) of genetic markers, and to estimate the
 phenotypic variance explained by genetic markers.

Package: r-cran-cjar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 947
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-dplyr, r-cran-jsonlite, r-cran-glue, r-cran-jose, r-cran-tibble, r-cran-lubridate, r-cran-progress, r-cran-vctrs, r-cran-stringr, r-cran-rlang, r-cran-memoise, r-cran-openssl, r-cran-httr2
Filename: pool/dists/focal/main/r-cran-cjar_0.2.0-1.ca2004.1_all.deb
Size: 831800
MD5sum: bf1653beccbf27649181dfd954b53f0b
SHA1: 1060c607588174c248e667732e9610bea77c9913
SHA256: f29ca946e01cb5226fe0729d19548acb59113e410f6fa49e577edc9d733af3a8
SHA512: 53e793b4e9f048baa6cf0de0da6831c03026ee26f89a6a6bcebed373bde125be6f898797c07bb513763bafde84e0b66cf40d1955b09301a599c03c8f960661fc
Homepage: https://cran.r-project.org/package=cjar
Description: CRAN Package 'cjar' (R Client for 'Customer Journey Analytics' ('CJA') API)
 Connect and pull data from the 'CJA' API, which powers 'CJA Workspace'
 <https://github.com/AdobeDocs/cja-apis>.  The package was developed with the
 analyst in mind and will continue to be developed with the guiding
 principles of iterative, repeatable, timely analysis. New features are
 actively being developed and we value your feedback and contribution to the
 process.

Package: r-cran-cjbart
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 827
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bart, r-cran-rlang, r-cran-tidyr, r-cran-ggplot2, r-cran-randomforestsrc, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cjbart_0.3.2-1.ca2004.1_all.deb
Size: 299520
MD5sum: e317837a9edaccfc39c95ac20b1f6dc0
SHA1: 357ef121de5acb255b43a1e7a706fa7d1f51c4f6
SHA256: fef3505b04e9052aa69581562f2f815e03d58b84c2447d3119ce418875b5cf48
SHA512: d5abbac6473a8cfbceb5e1d9a336c6e9dfe91194abc3d54cbed666e8233ab2ac61144ff65a1bffea554e19deda814d62a5d4883b606e0ea43493c1c90e06945f
Homepage: https://cran.r-project.org/package=cjbart
Description: CRAN Package 'cjbart' (Heterogeneous Effects Analysis of Conjoint Experiments)
 A tool for analyzing conjoint experiments using Bayesian Additive Regression
 Trees ('BART'), a machine learning method developed by Chipman, George and
 McCulloch (2010) <doi:10.1214/09-AOAS285>. This tool focuses specifically on
 estimating, identifying, and visualizing the heterogeneity within marginal
 component effects, at the observation- and individual-level. It uses a
 variable importance measure ('VIMP') with delete-d jackknife variance
 estimation, following Ishwaran and Lu (2019) <doi:10.1002/sim.7803>, to
 obtain bias-corrected estimates of which variables drive heterogeneity in
 the predicted individual-level effects.

Package: r-cran-cjive
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rootsolve, r-cran-ggplot2, r-cran-reshape2, r-cran-fields, r-cran-gplots, r-cran-psych
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cjive_0.1.0-1.ca2004.1_all.deb
Size: 103820
MD5sum: bcf3e1ce267210c4e9d95d141db45712
SHA1: 4bb71c6b721c4a5243d1ffd2370e4a14e4086cfa
SHA256: 1f72dfe7918474233f01e9635406c1908dea435f984289b42b0de3011422955d
SHA512: 9a33fd15a9240847221bb2954388bc278ea811348f9c04fc90fc24c2de0684ecf30011b2216381904fbe627f1187b44201440763a9bb179d16db92955b5f7eea
Homepage: https://cran.r-project.org/package=CJIVE
Description: CRAN Package 'CJIVE' (Canonical Joint and Individual Variation Explained (CJIVE))
 Joint and Individual Variation Explained (JIVE) is a method for decomposing
 multiple datasets obtained on the same subjects into shared structure,
 structure unique to each dataset, and noise. The two most common
 implementations are R.JIVE, an iterative approach, and AJIVE, which uses
 principal angle analysis. JIVE estimates subspaces but interpreting these
 subspaces can be challenging with AJIVE or R.JIVE. We expand upon insights
 into AJIVE as a canonical correlation analysis (CCA) of principal component
 scores. This reformulation, which we call CJIVE, 1) provides an ordering of
 joint components by the degree of correlation between corresponding
 canonical variables; 2) uses a computationally efficient permutation test
 for the number of joint components, which provides a p-value for each
 component; and 3) can be used to predict subject scores for out-of-sample
 observations.  Please cite the following article when utilizing this
 package: Murden, R., Zhang, Z., Guo, Y., & Risk, B. (2022)
 <doi:10.3389/fnins.2022.969510>.

Package: r-cran-cjoint
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sandwich, r-cran-lmtest, r-cran-ggplot2, r-cran-survey, r-cran-matrix, r-cran-dt, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cjoint_2.1.1-1.ca2004.1_all.deb
Size: 418948
MD5sum: 7677262644f99fde3e4d2076c3108920
SHA1: e6df645834f1235ab0441770e947a9ec2dbf7cdf
SHA256: 5b3d719800b5719c0a860aba221f3ae15a145adb4fe519fd6769327b6f28c7bb
SHA512: 6478acb1bce4b0c5b78417ca72dc8a9215eda54754176cdbce069f18fc0f068b4505fbb7c72d4f556d6bdf3bfd3350463e70a10ad64853a3363cb50bc40e7bbb
Homepage: https://cran.r-project.org/package=cjoint
Description: CRAN Package 'cjoint' (AMCE Estimator for Conjoint Experiments)
 An R implementation of the Average Marginal Component-specific Effects
 (AMCE) estimator presented in Hainmueller, J., Hopkins, D., and Yamamoto T.
 (2014) <DOI:10.1093/pan/mpt024> Causal Inference in Conjoint Analysis:
 Understanding Multi-Dimensional Choices via Stated Preference Experiments.
 Political Analysis 22(1):1-30.

Package: r-cran-ckanr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-crul, r-cran-jsonlite, r-cran-dplyr, r-cran-dbplyr, r-cran-magrittr
Suggests: r-cran-sf, r-cran-readxl, r-cran-testthat, r-cran-xml2, r-cran-lazyeval
Filename: pool/dists/focal/main/r-cran-ckanr_0.7.0-1.ca2004.1_all.deb
Size: 415104
MD5sum: 08d6ff3bdd97330dd26c503576e2c654
SHA1: 889a2a179892f6ef9ef1de390cd468d81e5c2242
SHA256: 6735896f3ff88ad5033560344cdffac4a8588bf3fe9b1d7d2ce86fe47c79a9c2
SHA512: 53535d232c0847877967e9f6ac677bc1de20f8aba478ea683a16ca30abd0d733b0d931b47fbd39c12185ed8e28c70810a9ba9c9b7269d8b33d2f32fd184c8d27
Homepage: https://cran.r-project.org/package=ckanr
Description: CRAN Package 'ckanr' (Client for the Comprehensive Knowledge Archive Network ('CKAN')API)
 Client for 'CKAN' API (<https://ckan.org/>). Includes interface to 'CKAN'
 'APIs' for search, list, show for packages, organizations, and resources. In
 addition, provides an interface to the 'datastore' API.

Package: r-cran-ckat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-ckat_0.1.0-1.ca2004.1_all.deb
Size: 35748
MD5sum: 02b0e21963df9834d629b01f53890942
SHA1: 6b10e9020a6e1c2dcd89c5ee8f7a1c56a7c6f154
SHA256: d227671740b9e2cf366e0701bbe86bec11228b8a98c5f07cec668749fc0eee1a
SHA512: 5246f25c54da4e209389efd29fa1bb32f36c688404e92bc240d83f65028e142d3d46772af2b87ec6aa0486fdc7e9bec83484672f22c7d893c07681bbb9971a92
Homepage: https://cran.r-project.org/package=CKAT
Description: CRAN Package 'CKAT' (Composite Kernel Association Test for Pharmacogenetics Studies)
 Composite Kernel Association Test (CKAT) is a flexible and robust kernel
 machine based approach to jointly test the genetic main effect and
 gene-treatment interaction effect for a set of single-nucleotide
 polymorphisms (SNPs) in pharmacogenetics (PGx) assessments embedded within
 randomized clinical trials.

Package: r-cran-cla
Architecture: all
Version: 0.96-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1237
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-fgarch, r-cran-frapo, r-cran-matrix, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-cla_0.96-3-1.ca2004.1_all.deb
Size: 1196260
MD5sum: d4156bda692584628f98d3edc87d1501
SHA1: 7bdac04c28ff909788aa2f79d2804410f718ed68
SHA256: 34f0971bb8cdcba888d8dbd1079ddf6fdeb7f65d5bfdefbb88fc9fa5d6b8fa45
SHA512: 947849f3d5063e69942038412000d07d9234983b77ecb52be2a625405aacc11da0e9e2e1da9dd981d324f7fe5183cb68c6eb8763839a432fffd15bff4a64026a
Homepage: https://cran.r-project.org/package=CLA
Description: CRAN Package 'CLA' (Critical Line Algorithm in Pure R)
 Implements 'Markowitz' Critical Line Algorithm ('CLA') for classical
 mean-variance portfolio optimization, see Markowitz (1952)
 <doi:10.2307/2975974>.  Care has been taken for correctness in light of
 previous buggy implementations.

Package: r-cran-claddis
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1996
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-phytools, r-cran-strap, r-cran-clipr, r-cran-geoscale, r-cran-multicool, r-cran-partitions
Suggests: r-cran-rgl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-claddis_0.7.0-1.ca2004.1_all.deb
Size: 1357464
MD5sum: 1b7c21c0b19faee9664ed42442e30ed8
SHA1: 0d64607532ad4c9bd6ddcc217a11be38a22a537b
SHA256: 952e76403b13ba8afa38d8a895ce23691794db4def63c9f177ad18dc3dab3465
SHA512: 18764401fcf22c9f370e2ed5a01271731e4a89da9890a6296b51c637eaeb69304fdd60986768abfecfd069db6ccfbb6e4319d16788509b861d89c586875383dd
Homepage: https://cran.r-project.org/package=Claddis
Description: CRAN Package 'Claddis' (Measuring Morphological Diversity and Evolutionary Tempo)
 Measures morphological diversity from discrete character data and estimates
 evolutionary tempo on phylogenetic trees. Imports morphological data from
 #NEXUS (Maddison et al. (1997) <doi:10.1093/sysbio/46.4.590>) format with
 read_nexus_matrix(), and writes to both #NEXUS and TNT format (Goloboff et
 al. (2008) <doi:10.1111/j.1096-0031.2008.00217.x>). Main functions are
 test_rates(), which implements AIC and likelihood ratio tests for discrete
 character rates introduced across Lloyd et al.  (2012)
 <doi:10.1111/j.1558-5646.2011.01460.x>, Brusatte et al. (2014)
 <doi:10.1016/j.cub.2014.08.034>, Close et al. (2015)
 <doi:10.1016/j.cub.2015.06.047>, and Lloyd (2016) <doi:10.1111/bij.12746>,
 and calculate_morphological_distances(), which implements multiple discrete
 character distance metrics from Gower (1971) <doi:10.2307/2528823>, Wills
 (1998) <doi:10.1006/bijl.1998.0255>, Lloyd (2016) <doi:10.1111/bij.12746>,
 and Hopkins and St John (2018) <doi:10.1098/rspb.2018.1784>. This also
 includes the GED correction from Lehmann et al. (2019)
 <doi:10.1111/pala.12430>. Multiple functions implement morphospace plots:
 plot_chronophylomorphospace() implements Sakamoto and Ruta (2012)
 <doi:10.1371/journal.pone.0039752>, plot_morphospace() implements Wills et
 al. (1994) <doi:10.1017/S009483730001263X>, plot_changes_on_tree()
 implements Wang and Lloyd (2016) <doi:10.1098/rspb.2016.0214>, and
 plot_morphospace_stack() implements Foote (1993)
 <doi:10.1017/S0094837300015864>. Other functions include
 safe_taxonomic_reduction(), which implements Wilkinson (1995)
 <doi:10.1093/sysbio/44.4.501>, map_dollo_changes() implements the Dollo
 stochastic character mapping of Tarver et al. (2018)
 <doi:10.1093/gbe/evy096>, and estimate_ancestral_states() implements the
 ancestral state options of Lloyd (2018) <doi:10.1111/pala.12380>.
 calculate_tree_length() and reconstruct_ancestral_states() implements the
 generalised algorithms from Swofford and Maddison (1992; no doi).

Package: r-cran-claimsproblems
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geometry, r-cran-pracma, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-claimsproblems_1.0.0-1.ca2004.1_all.deb
Size: 261284
MD5sum: 279c8d138d6bde7667efd584ec602e3c
SHA1: 15adae3dbb853c609143c8fd9a0f797fdc0a2b3f
SHA256: 4a2a3e3da9d40adfa7c834e351500f1fe125cf876b729604d3434f64d1614682
SHA512: 07d2359da5696b0d4f5cbe8f2b38e6edd1bf849685bd54082f133011321478716b458df7ac7bd54ef27799caf8c1f061d7c07eecbd80852a2bcc6bb620feb62c
Homepage: https://cran.r-project.org/package=ClaimsProblems
Description: CRAN Package 'ClaimsProblems' (Analysis of Conflicting Claims)
 The analysis of conflicting claims arises when an amount has to be divided
 among a set of agents with claims that exceed what is available. A rule is a
 way of selecting a division among the claimants. This package computes the
 main rules introduced in the literature from ancient times to the present.
 The inventory of rules covers the proportional and the adjusted proportional
 rules, the constrained equal awards and the constrained equal losses rules,
 the constrained egalitarian, the Piniles’ and the minimal overlap rules, the
 random arrival and the Talmud rules. Besides, the Dominguez and Thomson and
 the average-of-awards rules are also included.  All of them can be found in
 the book by W. Thomson (2019), How to divide when there isn't enough. From
 Aristotle, the Talmud, and Maimonides to the axiomatics of resource
 allocation', except for the average-of-awards rule, introduced by Mirás
 Calvo et al. (2022), <doi:10.1007/s00355-022-01414-6>.  In addition,
 graphical diagrams allow the user to represent, among others, the set of
 awards, the paths of awards, the schedules of awards of a rule, and some
 indexes.  A good understanding of the similarities and differences between
 the rules is useful for better decision-making. Therefore, this package
 could be helpful to students, researchers, and managers alike.  For a more
 detailed explanation of the package, see Mirás Calvo et al.  (2023),
 <doi:10.1016/j.dajour.2022.100160>.

Package: r-cran-clam
Architecture: all
Version: 2.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rice, r-cran-data.table, r-cran-rintcal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-clam_2.6.2-1.ca2004.1_all.deb
Size: 208684
MD5sum: a35dd987be3573a3a4815525ea451e19
SHA1: 31fe942bd5c41395a1dd035001ac54517b01c6c6
SHA256: 8f60c16f822482f87f887747d2efccca242d4084b6a28702ee3004a55d9a0e87
SHA512: 5efb56d895b242494ccfecd8fb257219ca0e6af3e6584bc06acfdb5920c2ca41291de3e6dc14ea672587db9c493b9d3451fcae34605c5cc8a756ce77551662a7
Homepage: https://cran.r-project.org/package=clam
Description: CRAN Package 'clam' (Classical Age-Depth Modelling of Cores from Deposits)
 Performs 'classical' age-depth modelling of dated sediment deposits - prior
 to applying more sophisticated techniques such as Bayesian age-depth
 modelling. Any radiocarbon dated depths are calibrated. Age-depth models are
 constructed by sampling repeatedly from the dated levels, each time drawing
 age-depth curves. Model types include linear interpolation, linear or
 polynomial regression, and a range of splines. See Blaauw (2010)
 <doi:10.1016/j.quageo.2010.01.002>.

Package: r-cran-clampseg
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1863
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stepr, r-cran-lowpassfilter
Suggests: r-cran-testthat, r-cran-r.cache, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-clampseg_1.2-0-1.ca2004.1_all.deb
Size: 1627264
MD5sum: 9b4fa828e00732c6b2cb782a9d0e14f5
SHA1: 1b67f4a12b5bed7f8567d63f889e2170696d2f2a
SHA256: e97cf8aa2b5ca4829f36f5ad48dd77d8019d696b5fc7f7fb5f52acb38e4b0668
SHA512: 9b2a65f66aa8e7bcb611f19cc86bfd1c1895c4ff4906bfe9eee30a08f1ea833d6b4666dc3ad7ab7e76eebd09ec9a3ec2dfa33e6d35e1ffa12d48de5d72fed50f
Homepage: https://cran.r-project.org/package=clampSeg
Description: CRAN Package 'clampSeg' (Idealisation of Patch Clamp Recordings)
 Implements the model-free multiscale idealisation approaches:
 Jump-Segmentation by MUltiResolution Filter (JSMURF), Hotz et al. (2013)
 <doi:10.1109/TNB.2013.2284063>, JUmp Local dEconvolution Segmentation filter
 (JULES), Pein et al. (2018) <doi:10.1109/TNB.2018.2845126>, and
 Heterogeneous Idealization by Local testing and DEconvolution (HILDE), Pein
 et al. (2021) <doi:10.1109/TNB.2020.3031202>. Further details on how to use
 them are given in the accompanying vignette.

Package: r-cran-clamr
Architecture: all
Version: 2.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clamr_2.1-3-1.ca2004.1_all.deb
Size: 80976
MD5sum: 4c5f64582d4ac893f26095080cb18679
SHA1: 119ce9e02e03b93104a831fe587bcb9851218305
SHA256: 621374f7cadbf33c7d18754f70639e924c600d11f4c484ef8bcbf172ba9d6579
SHA512: 47803473ad6c17479b884ac3de375608392c58c3a5fa686bbe9029a6d7371586a9ab436bcd300b0403b3b8bf8b46b8b86ee6a9315f1b8e95bc8f5114f7a18038
Homepage: https://cran.r-project.org/package=ClamR
Description: CRAN Package 'ClamR' (Time Series Modeling for Climate Change Proxies)
 Implementation of the Wilkinson and Ivany (2002) approach to paleoclimate
 analysis, applied to isotope data extracted from clams.

Package: r-cran-clap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mclust, r-cran-fnn, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-clap_0.1.0-1.ca2004.1_all.deb
Size: 216764
MD5sum: 56e26a58f774268ececd5db731595447
SHA1: ae33e852ab13638a8c00b3d09415bdc06ae09f1c
SHA256: 3bc0422b4a32b183ba920040fcd7e6e3215db6d515ec420c39f4beb944e0c856
SHA512: eafbd4d27463ff56f1c8c5efb50d1815be56233f7e3e1b0ef8b245ab03616f258a5e8e761f3fbf0b4e58be811ce8f9ccf0e8b88983c0d43c88b4c0c199b5324f
Homepage: https://cran.r-project.org/package=clap
Description: CRAN Package 'clap' (Detecting Class Overlapping Regions in Multidimensional Data)
 The issue of overlapping regions in multidimensional data arises when
 different classes or clusters share similar feature representations, making
 it challenging to delineate distinct boundaries between them accurately.
 This package provides methods for detecting and visualizing these
 overlapping regions using partitional clustering techniques based on nearest
 neighbor distances.

Package: r-cran-clarifai
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2599
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clarifai_0.4.2-1.ca2004.1_all.deb
Size: 1248488
MD5sum: 4cba07ecd8d67d8acb356f9f3926c7ca
SHA1: 857f8adca802d0db482c881ee8395b1db77517b3
SHA256: 6f6d354f82f7569ed35b27dabfeea11d77e3d83728e5593b146ac2d5cc43d49d
SHA512: b7caf4b55c0b6babb4657dbc2c2aaea88bdcbd39b45feaea76e8b539eb61cd4699b20bd6b1a5aa1c5ecc54d81af1b483e759c179606cd616a5d2725bb963b2be
Homepage: https://cran.r-project.org/package=clarifai
Description: CRAN Package 'clarifai' (Access to Clarifai API)
 Get description of images from Clarifai API. For more information, see
 <http://clarifai.com>. Clarifai uses a large deep learning cloud to come up
 with descriptive labels of the things in an image. It also provides how
 confident it is about each of the labels.

Package: r-cran-clarify
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1002
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-pbapply, r-cran-chk, r-cran-rlang, r-cran-insight, r-cran-marginaleffects, r-cran-mvnfast
Suggests: r-cran-testthat, r-cran-matchit, r-cran-knitr, r-cran-rmarkdown, r-cran-amelia, r-cran-mass, r-cran-betareg, r-cran-survey, r-cran-estimatr, r-cran-fixest, r-cran-logistf, r-cran-geepack, r-cran-rms, r-cran-robustbase, r-cran-robust, r-cran-aer, r-cran-ivreg, r-cran-mgcv, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-clarify_0.2.1-1.ca2004.1_all.deb
Size: 653852
MD5sum: 3e4039b2ab0cd70903c6c7fcc5b85f76
SHA1: fbd2d48709bdce5e7a6b97e79a5d8a87e19dfb3c
SHA256: bc8f26fef2d111d8cec6a1211c57f0967a3ad0765208a0af87b6ec89d579331d
SHA512: ae464493988b6ba15803b832ac76cc755e704acec4906797fdc077d06c7a8a09b7d05d7b5255f6e1b8299859df091474bb8a85cf7211409b3001c863a8203cbc
Homepage: https://cran.r-project.org/package=clarify
Description: CRAN Package 'clarify' (Simulation-Based Inference for Regression Models)
 Performs simulation-based inference as an alternative to the delta method
 for obtaining valid confidence intervals and p-values for regression
 post-estimation quantities, such as average marginal effects and predictions
 at representative values. This framework for simulation-based inference is
 especially useful when the resulting quantity is not normally distributed
 and the delta method approximation fails. The methodology is described in
 King, Tomz, and Wittenberg (2000) <doi:10.2307/2669316>. 'clarify' is meant
 to replace some of the functionality of the archived package 'Zelig'; see
 the vignette "Translating Zelig to clarify" for replicating this
 functionality.

Package: r-cran-clarketest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-ordinal, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-clarketest_0.2.0-1.ca2004.1_all.deb
Size: 157408
MD5sum: c8f48a138db0033ac8e9fb00410041f3
SHA1: f19a0c58b42d635518ddd9eaa3d56c2036d3d0e9
SHA256: f4c04a8e1db875b8cbf92641403d30ec0de1a1ffb3676ec1694c8b527bd007d4
SHA512: 8c21abad4c51639a655ece5d7065f0e2ff760e8f8a675ef5dc76dce3286aa580c1e58c30c7d494b458f25022679b6a7a03ffaa4b50f54ed7e705629357401697
Homepage: https://cran.r-project.org/package=clarkeTest
Description: CRAN Package 'clarkeTest' (Distribution-Free Tests of Non-Nested Models)
 Implementation of Clarke's distribution-free test of non-nested models.
 Currently supported model functions are: lm(), glm() ('binomial', 'poisson',
 'negative binomial' links), polr() ('MASS'), clm() ('ordinal'), and
 multinom() ('nnet').  For more information on the test, see Clarke (2007)
 <doi:10.1093/pan/mpm004>.

Package: r-cran-classcomparison
Architecture: all
Version: 3.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1201
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oompabase, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-classcomparison_3.3.5-1.ca2004.1_all.deb
Size: 976124
MD5sum: ac0143ab0a8f23421544136194382bd7
SHA1: 9cd47e6477b7b02ee12b72fdc943f92da12a17c4
SHA256: 579297167ca288e33083a2d8e0349295f38c903fa09332dd2b9e352ff4c9040c
SHA512: df9c6e7d96707f4072c26af901a1ac2e289460d5df6082f9da07f7ae27f4460d1be71661c7ca72b1fcfca8eae5e1b4cdf80c2e49f9ad75b99da9f0116005ad1d
Homepage: https://cran.r-project.org/package=ClassComparison
Description: CRAN Package 'ClassComparison' (Classes and Methods for "Class Comparison" Problems onMicroarrays)
 Defines the classes used for "class comparison" problems in the OOMPA
 project (<http://oompa.r-forge.r-project.org/>). Class comparison includes
 tests for differential expression; see Simon's book for details on typical
 problem types.

Package: r-cran-classdiscovery
Architecture: all
Version: 3.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-oompabase, r-cran-mclust, r-cran-oompadata, r-bioc-biobase
Suggests: r-cran-xtable
Filename: pool/dists/focal/main/r-cran-classdiscovery_3.4.8-1.ca2004.1_all.deb
Size: 474384
MD5sum: 0088032cb2cfb421553d64ac2d56796c
SHA1: 6d5ae5d49fb041f9b8897c3506d0078f9f5e193b
SHA256: cf0245ebe79c626a88dc2ea9bbe7f13014fce4566795ae757ec3044d73eb3f1a
SHA512: 6abdf25c6124e033d22bfacee3681325387f074a5214315b810498c02e4e0c1379489353ea6aca0d786d062068028febae59179c2aa3613f630a4268fd87af69
Homepage: https://cran.r-project.org/package=ClassDiscovery
Description: CRAN Package 'ClassDiscovery' (Classes and Methods for "Class Discovery" with Microarrays orProteomics)
 Defines the classes used for "class discovery" problems in the OOMPA project
 (<http://oompa.r-forge.r-project.org/>). Class discovery primarily consists
 of unsupervised clustering methods with attempts to assess their statistical
 significance.

Package: r-cran-classgraph
Architecture: all
Version: 0.7-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-graph, r-bioc-rgraphviz
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-classgraph_0.7-7-1.ca2004.1_all.deb
Size: 45344
MD5sum: b7631870cd3573dac1cbc667da30dac5
SHA1: f94d4a65642074d08b0cd3071dfcd9ffe306d958
SHA256: b9da15995752d36607e52a9126f19eee7d6a71804ec97b0bb6802f3cf27c7ed9
SHA512: 937170c0930a420109e2072c88e75fb9b86f6705a9925524cff46c1b8680295702d6f1f349f129904cfd50a01431de9a0b2db7be2f694ac3e8b0a124a9574664
Homepage: https://cran.r-project.org/package=classGraph
Description: CRAN Package 'classGraph' (Construct Graphs of S4 Class Hierarchies)
 Construct directed graphs of S4 class hierarchies and visualize them.  In
 general, these graphs typically are DAGs (directed acyclic graphs), often
 simple trees in practice.

Package: r-cran-classicaltest
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-classicaltest_0.7.5-1.ca2004.1_all.deb
Size: 181116
MD5sum: 07c622b06f5aecbc041b3cf020f698d6
SHA1: 5ee7b22420e7c6dba37939370a1e9d70cc6b189a
SHA256: 1b2e5a4fad10f5a04d8966a38019bb6c74ff5b33c42f4d4157f638c17c893554
SHA512: f8cf62e3794d9c6c980f931ac3a88026ace3b99a35260c05fd516484a7b18badf80d4a7160735d1f93629d635ff5e47ad5d91a40245c1def5119f26e1fb97a37
Homepage: https://cran.r-project.org/package=classicaltest
Description: CRAN Package 'classicaltest' (Classical Test Theory (CTT) Analysis)
 Functions for classical test theory analysis, following methods presented by
 Wu et al. (2006) <doi:10.1007/978-981-10-3302-5>.

Package: r-cran-classificationensembles
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-c50, r-cran-car, r-cran-caret, r-cran-corrplot, r-cran-doparallel, r-cran-dplyr, r-cran-e1071, r-cran-ggplot2, r-cran-gt, r-cran-ipred, r-cran-machineshop, r-cran-magrittr, r-cran-pls, r-cran-purrr, r-cran-randomforest, r-cran-ranger, r-cran-reactable, r-cran-reactablefmtr, r-cran-scales, r-cran-tidyr, r-cran-tree
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-classificationensembles_0.5.0-1.ca2004.1_all.deb
Size: 1639032
MD5sum: a59c5f69cf73cc814625389de7c03cc4
SHA1: 2d84a555af0eda943223b77c0e4540640bb9141f
SHA256: 57a1d485794a71f30f22f2f76a1d3cbdad09e96ce395a7a059d069b801479d1e
SHA512: dba79777790101c4ec985cd5f38eff927f94fef1f8308aea0008b89ef3ea336fb0f694cabc87d844d2f6f6d0efb0be2973ed37f8c03e576d5ea719d993b9fc12
Homepage: https://cran.r-project.org/package=ClassificationEnsembles
Description: CRAN Package 'ClassificationEnsembles' (Automatically Builds 20 Classification Models)
 Automatically builds 20 classification models from data. The package returns
 26 plots, 5 tables and a summary report.  The package automatically builds
 12 individual classification models, including error (RMSE) and predictions.
 That data is used to create an ensemble, which is then modeled using 8
 methods.  The process is repeated as many times as the user requests. The
 mean of the results are presented in a summary table.  The package returns
 the confusion matrices for all 20 models, tables of the correlation of the
 numeric data, the results of the variance inflation process, the head of the
 ensemble and the head of the data frame.

Package: r-cran-classifierplots
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-rcpp, r-cran-rocr, r-cran-caret, r-cran-gridextra, r-cran-png
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-classifierplots_1.4.0-1.ca2004.1_all.deb
Size: 334828
MD5sum: c3503ead0e488fe134b717e5dcd44031
SHA1: 7c5254c315f0f0519827e7245c038fbeadf5d29d
SHA256: 93564599bbc0f3a505aa80ad60505415b928ecaaf1feaedbc779acb82cff3eac
SHA512: 1c32b5c582f92456763f4b57f23c7484ef298b1e58435a2a1f6ee7e559709f3c2c4c7f86310bb167add31fec6a6e4eb20f86d13c505be29dea2e100dbfc2c31e
Homepage: https://cran.r-project.org/package=classifierplots
Description: CRAN Package 'classifierplots' (Generates a Visualization of Classifier Performance as a Grid ofDiagnostic Plots)
 Generates a visualization of binary classifier performance as a grid of
 diagnostic plots with just one function call. Includes ROC curves,
 prediction density, accuracy, precision, recall and calibration plots, all
 using ggplot2 for easy modification.  Debug your binary classifiers faster
 and easier!

Package: r-cran-classifly
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-class, r-cran-plyr
Suggests: r-cran-e1071, r-cran-mass, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-classifly_0.4.1-1.ca2004.1_all.deb
Size: 49372
MD5sum: 8fff02b11aeb9cd71c9bf8dfe7d50a4a
SHA1: 72fe19d1bb3c4b6114762e8d9692020a7577cc5b
SHA256: d234892ea808a10d838b9574d3345b5d8793a915faba580e15c84f166556a9df
SHA512: cfe21feadb576827d9dcb3f48cd789036318fdf1630f9b6a2522d6657bfdce80e958f0b2f4f9d68022beedd6db0beb22d4638235cf76332676b4f0334244599b
Homepage: https://cran.r-project.org/package=classifly
Description: CRAN Package 'classifly' (Explore Classification Models in High Dimensions)
 Given $p$-dimensional training data containing $d$ groups (the design
 space), a classification algorithm (classifier) predicts which group new
 data belongs to.  Generally the input to these algorithms is high
 dimensional, and the boundaries between groups will be high dimensional and
 perhaps curvilinear or multi-faceted. This package implements methods for
 understanding the division of space between the groups.

Package: r-cran-classmap
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2646
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-robustbase, r-cran-e1071, r-cran-cellwise, r-cran-cluster, r-cran-kernlab, r-cran-gridextra, r-cran-rpart, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-reshape2, r-cran-svd, r-cran-rpart.plot, r-cran-nnet, r-cran-robcompositions, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-classmap_1.2.5-1.ca2004.1_all.deb
Size: 1553396
MD5sum: 18300cfb086b3be391e5feb098705117
SHA1: f5576271ed252e5896e6df1fe65efb51cac00e5b
SHA256: e1fef6266287a73ceb6e8c65a92e810ccb7190dbfdf165183e6b9e1ae6e51077
SHA512: 87497ed8d125c984305937d672f4b8a4c7f99bb572cff48b88bd7ecf047ff9785261e823889fd3383f874f703bc6b7d5a29e1c3636cd604f77839135e280ac80
Homepage: https://cran.r-project.org/package=classmap
Description: CRAN Package 'classmap' (Visualizing Classification Results)
 Tools to visualize the results of a classification of cases.  The graphical
 displays include stacked plots, silhouette plots, quasi residual plots, and
 class maps.  Implements the techniques described and illustrated in
 Raymaekers J., Rousseeuw P.J., Hubert M. (2021). Class maps for visualizing
 classification results. \emph{Technometrics}, 64(2), 151–165.
 \doi{10.1080/00401706.2021.1927849} (open access) and Raymaekers J.,
 Rousseeuw P.J.(2021). Silhouettes and quasi residual plots for neural nets
 and tree-based classifiers. \emph{Journal of Computational and Graphical
 Statistics}, 31(4), 1332–1343. \doi{10.1080/10618600.2022.2050249}.
 Examples can be found in the vignettes:
 "Discriminant_analysis_examples","K_nearest_neighbors_examples",
 "Support_vector_machine_examples", "Rpart_examples",
 "Random_forest_examples", and "Neural_net_examples".

Package: r-cran-classyfirer
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-crayon, r-cran-clisymbols, r-cran-cli, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-rjson, r-cran-rsqlite, r-cran-tidyjson, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-classyfirer_0.3.8-1.ca2004.1_all.deb
Size: 282204
MD5sum: 529963cc9089ce65973869db43a26583
SHA1: 95fe1e4f12a0a601c778e308fd63d0cbf54d71b4
SHA256: ee9d0799f087983f720220b972424c6fea8606a4fd23faaeca48b1e51e3aa155
SHA512: f2228f7a8ba7f4568a426a3231b230dc7c3bdb416d2a7f593dd1386b5b0da1a810f19e245860233b4e84816230ce2c1fdc37c51ba09711a23d6835c4db32d8fc
Homepage: https://cran.r-project.org/package=classyfireR
Description: CRAN Package 'classyfireR' (R Interface to the 'ClassyFire' REST API)
 Access to the 'ClassyFire' REST API <http://classyfire.wishartlab.com>.
 Retrieve existing entity classifications and submit new entities for
 classification.

Package: r-cran-clast
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clast_1.0.1-1.ca2004.1_all.deb
Size: 95548
MD5sum: 4567c11753235a7dde336b9de3910cce
SHA1: 95dd235ea47358ea1892d04100955b6908049130
SHA256: 6faa4713b0e10ecfe87941a7d698c35d1a161a2e35a4b413c7120a6f27462f3d
SHA512: eaed33b0871490501f475c93a46c610ecaff798947ee06e195c4ed7d521755675bdff4f290ee110c1f1154b906d7ae32805d284b1df403e9b751c02d35f01ec6
Homepage: https://cran.r-project.org/package=CLAST
Description: CRAN Package 'CLAST' (Exact Confidence Limits after a Sequential Trial)
 The user first provides design vectors n, a and b as well as null (p0) and
 alternative (p1) benchmark values for the probability of success. The key
 function "mv.plots.SM()" calculates mean values of exact upper and lower
 limits based on four different rank ordering methods. These plots form the
 basis of selecting a rank ordering. The function "inference()" calculates
 exact limits from a provided realisation and ordering choice. For more
 information, see "Exact confidence limits after a group sequential single
 arm binary trial" by Lloyd, C.J. (2020), Statistics in Medicine, Volume 38,
 2389-2399, <doi:10.1002/sim.8909>.

Package: r-cran-clayringsmiletus
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cluster, r-cran-dbscan, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-gridextra, r-cran-kableextra, r-cran-knitr, r-cran-reshape2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clayringsmiletus_1.0.2-1.ca2004.1_all.deb
Size: 63744
MD5sum: ce1f8b59d403cb7f3e40242ae6a54af4
SHA1: 5ffbb8d728abd07b30315762bc272c3770b8428b
SHA256: 1fefcbd3255395a22a04369a07351bfe0898ef24849c0d77b8c8453497b542d8
SHA512: eb23bb9982645d399fe3d7d86b9b57710a201827338ecf3b74b146651015499f56d01ea376cf247b292f48b9b4916807ed15cf4fc961c1d003dbdd63402b6ae6
Homepage: https://cran.r-project.org/package=clayringsmiletus
Description: CRAN Package 'clayringsmiletus' (Clay Stacking Rings Found in Miletus (Data))
 Stacking rings are tools used to stack pottery in a Kiln.  A relatively
 large group of stacking rings was found in the area of the sanctuary of
 Dionysos in Miletus in the 1970s. Measurements and additional info is
 gathered in this package and made available for use by other researchers.
 The data along with its archaeological context and analysis has been
 published in "Archäologischer Anzeiger" (2020/1,
 <doi:10.34780/aa.v0i1.1014>).

Package: r-cran-clc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5006
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdalutilities, r-cran-ggplot2, r-cran-rlang, r-cran-rpostgres, r-cran-sf, r-cran-terra, r-cran-xml2
Suggests: r-cran-knitr, r-cran-mockery, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clc_1.0.0-1.ca2004.1_all.deb
Size: 2642144
MD5sum: 1fa5672eb63d62391eef21a026390598
SHA1: f7790f045bc42935b3ef2ea5d3d8a0104f49aaa0
SHA256: 96e9404936f8cd003a4233556bd63d99486a73d36b6333f28cab0f63e22ac90d
SHA512: bf1e1c8c93c10f7c2586e52de7e87cf7859c797fad2566fba8a608fed7b6b4a1a39f5c1fef1625cdcf9fe1e54801074edd352913dd211d4e01f65409c0781b9d
Homepage: https://cran.r-project.org/package=clc
Description: CRAN Package 'clc' (CORINE Land Cover Data and Styles)
 Streamline the management, analysis, and visualization of CORINE Land Cover
 data. Addresses challenges associated with its classification system and
 related styles, such as color mappings and descriptive labels.

Package: r-cran-clda
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-clda_0.1-1.ca2004.1_all.deb
Size: 16576
MD5sum: a7b73e774584e8428de0e3e9ea164847
SHA1: 0f94e279e0806ab57dd3d9204496b1a45e41891b
SHA256: 42e740c2fe78dca5e53d9875bad511c263a2dd94405d1705212776680213f17a
SHA512: 9b55ba2feba43cb564bd5ca12c6d03c9a728afe292a80815baa1b3ed98849051915b514cb1ae70696266d0f1fba4da2d97163e4f917ab98e3ceebae4b246e186
Homepage: https://cran.r-project.org/package=clda
Description: CRAN Package 'clda' (Convolution-Based Linear Discriminant Analysis)
 Contains a time series classification method that obtains a set of filters
 that maximize the between-class and minimize the within-class distances.

Package: r-cran-clean
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 37
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cleaner
Filename: pool/dists/focal/main/r-cran-clean_2.0.0-1.ca2004.1_all.deb
Size: 7820
MD5sum: c0672d4f5c83c2fc2d5ab6b357f6ec99
SHA1: 64d1f81acb3b8dc028b8eb4e3b14d8c18753b343
SHA256: 34d1f84161421787321234ff4aa2f628a48ada891f5b076cb99d2950d05660ef
SHA512: c5c53507296967f248ceb6258a89a4b6984d68ac67e45b0fd59a7b9b61a618438530bb4dd5970ae1cfce69aea28616884404bb525b3d033129c1163e7c41fe0b
Homepage: https://cran.r-project.org/package=clean
Description: CRAN Package 'clean' (Fast and Easy Data Cleaning)
 A wrapper around the new 'cleaner' package, that allows data cleaning
 functions for classes 'logical', 'factor', 'numeric', 'character',
 'currency' and 'Date' to make data cleaning fast and easy. Relying on very
 few dependencies, it provides smart guessing, but with user options to
 override anything if needed.

Package: r-cran-cleanbsequences
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-pwalign, r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-cleanbsequences_2.3.0-1.ca2004.1_all.deb
Size: 21636
MD5sum: fd6bb61d4e485108ae3c128351e8230f
SHA1: a8bedd8eec83bbe6434ebe97bf73047e15f50699
SHA256: ceb343812962180ba42bca5629c3a12d461a12281546a0f9dacafefc98d9973f
SHA512: 846eab65bcd53c860cdabd08b83d8570ce21761599e33b20e3cb7c52add2a9717314c27407f406131b571f628ae5db2dd589d579220225bca64e45bcdf365eaf
Homepage: https://cran.r-project.org/package=CleanBSequences
Description: CRAN Package 'CleanBSequences' (Curing of Biological Sequences)
 Curates biological sequences massively, quickly, without errors and without
 internet connection.  Biological sequences curing is performed by aligning
 the forward and / or revers primers or ends of cloning vectors with the
 sequences to be cleaned. After the alignment, new subsequences are generated
 without biological fragment not desired by the user.  Pozzi et al (2020)
 <doi:10.1007/s00438-020-01671-z>.

Package: r-cran-cleandata
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 849
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-cleandata_0.3.0-1.ca2004.1_all.deb
Size: 268152
MD5sum: 225d0d45da27a81e9b2512bd04ae8c52
SHA1: b817e5cb356397f99f7796d9b7ab5263903aa832
SHA256: e162a44f8778d37e6562c1c9272ddf1c80a500abc3e32e4caaab8789f183a094
SHA512: 99263816adbab75c5ccc875703749005e779a248cef2ab9197ba768a6bb819dcdee9c911771215a87cef58325d84298591d7349605c2cfa305fccfbb2ec425ae
Homepage: https://cran.r-project.org/package=cleandata
Description: CRAN Package 'cleandata' (To Inspect and Manipulate Data; and to Keep Track of ThisProcess)
 Functions to work with data frames to prepare data for further analysis.
 The functions for imputation, encoding, partitioning, and other manipulation
 can produce log files to keep track of process.

Package: r-cran-cleanepi
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-janitor, r-cran-linelist, r-cran-lubridate, r-cran-magrittr, r-cran-matchmaker, r-cran-numberize, r-cran-readr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-htmlwidgets, r-cran-kableextra, r-cran-knitr, r-cran-lintr, r-cran-markdown, r-cran-naniar, r-cran-reactable, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cleanepi_1.1.0-1.ca2004.1_all.deb
Size: 707996
MD5sum: 5179bf175965c82181ceed9915f3ceda
SHA1: a00f3bc546143df456a3a8d2394333a3ae909672
SHA256: c8a5d957ce3f9e0509ba0bc3285a9390ea3ad0097df7e8e065dc25152e984455
SHA512: 444af260f71b7b021357696cd32c7773b2516438f41aa7b290de778b3521b4df5d227e4f9a55ec96b25cda9191c582e086c9f2dd54ca244b4fec63d872a08c3e
Homepage: https://cran.r-project.org/package=cleanepi
Description: CRAN Package 'cleanepi' (Clean and Standardize Epidemiological Data)
 Cleaning and standardizing tabular data package, tailored specifically for
 curating epidemiological data. It streamlines various data cleaning tasks
 that are typically expected when working with datasets in epidemiology. It
 returns the processed data in the same format, and generates a comprehensive
 report detailing the outcomes of each cleaning task.

Package: r-cran-cleaner
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-crayon, r-cran-knitr, r-cran-pillar, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cleaner_1.5.5-1.ca2004.1_all.deb
Size: 157964
MD5sum: dd8e0da025a03f02df9d54363824bf70
SHA1: e9b6fd431f7048a9dd25fe4fbe0d17e94b9f645a
SHA256: b14978d55ba52853bb3f3c0de4b2bd99c9f97333b4766e0e05fc08a2123d8e92
SHA512: 34b251bfd02d0fbee3ccdb4da779b0c617292e8e5e350291bf7dc92f3856d56ea3b61f373039666797348fd6e34c02432f11fa3bea1fa5fa3485d887c0c1cd25
Homepage: https://cran.r-project.org/package=cleaner
Description: CRAN Package 'cleaner' (Fast and Easy Data Cleaning)
 Data cleaning functions for classes logical, factor, numeric, character,
 currency and Date to make data cleaning fast and easy. Relying on very few
 dependencies, it provides smart guessing, but with user options to override
 anything if needed.

Package: r-cran-cleanerr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cleanerr_0.1.1-1.ca2004.1_all.deb
Size: 81988
MD5sum: 55328953ec4d1a35725e47e76c9c95cf
SHA1: e250cf4873dd8f164352d5525605c0f10a952b97
SHA256: e18fcc6644d24471e099b68f483694fc9d4c8966302ba938d4dcb1aac741e12d
SHA512: af7cf72614833a81735a1d2bdddfebf88d2d1bc892404cdb2159aeb957634e718e978aa8c2928283e357c08cc6c3630b4e08f4a0fdc3860b0a40e419d6a93ae5
Homepage: https://cran.r-project.org/package=cleanerR
Description: CRAN Package 'cleanerR' (How to Handle your Missing Data)
 How to deal with missing data?Based on the concept of almost functional
 dependencies, a method is proposed to fill missing data, as well as help you
 see what data is missing.  The user can specify a measure of error and how
 many combinations he wish to test the dependencies against, the closer to
 the length of the dataset, the more precise.  But the higher the number, the
 more time it will take for the process to finish.  If the program cannot
 predict with the accuracy determined by the user it shall not fill the data,
 the user then can choose to increase the error or deal with the data another
 way.

Package: r-cran-cleangeo
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-cleangeo_0.3-1-1.ca2004.1_all.deb
Size: 68796
MD5sum: edb42ceee6504c8b43cf9afbb77bdc6c
SHA1: 33b429242f8eaa08e5da80ce92ae93166b0fda88
SHA256: 08bc5d67231df7e3a8d9b51f98d0c66194f6a59587e795c862fdc753c8b76725
SHA512: 14136343d59532692095bca05aa5a1abeca2d8af598f3935e82fc7e23856dacf953d7f05978d04a575c36b263db3204a82aa4bff9194b3d37eeb4e14e6f649ca
Homepage: https://cran.r-project.org/package=cleangeo
Description: CRAN Package 'cleangeo' (Cleaning Geometries from Spatial Objects)
 Provides a set of utility tools to inspect spatial objects, facilitate
 handling and reporting of topology errors and geometry validity issue with
 sp objects.  Finally, it provides a geometry cleaner that will fix all
 geometry problems, and eliminate (at least reduce) the likelihood of having
 issues when doing spatial data processing.

Package: r-cran-cleaningvalidation
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-cowplot, r-cran-dunn.test, r-cran-boot, r-cran-aer, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-cleaningvalidation_1.0-1.ca2004.1_all.deb
Size: 146892
MD5sum: 119778a057c8e55fa6b3555e066e0300
SHA1: 2ad488c450bda84deb4feddb74f4664816f4fe06
SHA256: 0ff6e0fd3b816d451b52dcfc651a6bd08aa4baeaf0ccc0de49176c81fb343d86
SHA512: fe3a89200ad5674bccc03e722f458817225e990219b722b76d2f10886e635587ce296ac1d0feb6e072fe69ddd4fdd34879781b8adda9bc97bc14abb553fb9740
Homepage: https://cran.r-project.org/package=CleaningValidation
Description: CRAN Package 'CleaningValidation' (Cleaning Validation Functions for Pharmaceutical CleaningProcess)
 Provides essential Cleaning Validation functions for complying with
 pharmaceutical cleaning process regulatory standards. The package includes
 non-parametric methods to analyze drug active-ingredient residue (DAR),
 cleaning agent residue (CAR), and microbial colonies (Mic) for non-Poisson
 distributions. Additionally, Poisson methods are provided for Mic analysis
 when Mic data follow a Poisson distribution.

Package: r-cran-cleannlp
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-udpipe, r-cran-reticulate, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cleannlp_3.1.0-1.ca2004.1_all.deb
Size: 3454672
MD5sum: c4bd2d483578e3dae1ff7f1d263631b9
SHA1: ec93d350b9a024bac3d464d908ee61a159e7f79e
SHA256: 66c8ab11d68717e4d35e8e66472b77d17c58fd685453066f5214daadabcabe4f
SHA512: d61f65de73685b7d9835cd22f035eea10fb9c0a1fba10d522a2b8d25c817500a385f0163b312bd7ad0e7b5504b0a339b0fa6f76a713597be1f30730c4fa533c5
Homepage: https://cran.r-project.org/package=cleanNLP
Description: CRAN Package 'cleanNLP' (A Tidy Data Model for Natural Language Processing)
 Provides a set of fast tools for converting a textual corpus into a set of
 normalized tables. Users may make use of the 'udpipe' back end with no
 external dependencies, or a Python back ends with 'spaCy'
 <https://spacy.io>.  Exposed annotation tasks include tokenization, part of
 speech tagging, named entity recognition, and dependency parsing.

Package: r-cran-cleanr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-fritools, r-cran-pkgload, r-cran-rprojroot
Suggests: r-cran-devtools, r-cran-rasciidoc, r-cran-rmarkdown, r-cran-runit, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-cleanr_1.4.0-1.ca2004.1_all.deb
Size: 93144
MD5sum: 8e94c189ee81c4d9ca30ae9c43e2c024
SHA1: c54c1c7bf657ba396d3c6709d4b571bbd504c0ce
SHA256: 3f1cd2be25e3e4db36796d3caba297bcea5d951749033beb332b3daf4b3319bd
SHA512: d5276a268ff18dccb416ae6fedcc2f2bd337a57bb28b093a65e546f00f9e6045596a711037d84ad287d4399e0d09f48cac91568678f54781eaba5cc41cfcb125
Homepage: https://cran.r-project.org/package=cleanr
Description: CRAN Package 'cleanr' (Helps You to Code Cleaner)
 Check your R code for some of the most common layout flaws.  Many tried to
 teach us how to write code less dreadful, be it implicitly as B. W.
 Kernighan and D. M. Ritchie (1988) <ISBN:0-13-110362-8> in 'The C
 Programming Language' did, be it explicitly as R.C. Martin (2008)
 <ISBN:0-13-235088-2> in 'Clean Code: A Handbook of Agile Software
 Craftsmanship' did.  So we should check our code for files too long or wide,
 functions with too many lines, too wide lines, too many arguments or too
 many levels of nesting.  Note: This is not a static code analyzer like
 pylint or the like.  Checkout <https://cran.r-project.org/package=lintr>
 instead.

Package: r-cran-cleanrmd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2655
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cleanrmd_0.1.1-1.ca2004.1_all.deb
Size: 1736604
MD5sum: 117402b648c7511de93f7b0529baa7b4
SHA1: 330cd29e3ab874831c48903531adee142e0bb1b1
SHA256: 4d6bbb4fc895c8de4473dfd194d7a537a3ce291f301eeb0f9de46e12ae2d229e
SHA512: c1274db6f0cecdd1d72a03af485eaca97be79b99d0ad6cf3d2b152352d2f5a94fd9a0b99b9191d318a1bd2a044f53cb9e04a3327c47e4c3cd6bbd5b1122d4b9d
Homepage: https://cran.r-project.org/package=cleanrmd
Description: CRAN Package 'cleanrmd' (Clean Class-Less 'R Markdown' HTML Documents)
 A collection of clean 'R Markdown' HTML document templates using
 classy-looking classless CSS styles. These documents use a minimal set of
 dependencies but still look great, making them suitable for use a package
 vignettes or for sharing results via email.

Package: r-cran-cleants
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-gganimate, r-cran-ggplot2, r-cran-ggtext, r-cran-transformr, r-cran-glue, r-cran-imputetestbench, r-cran-imputets, r-cran-lubridate, r-cran-shiny, r-cran-stringr, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-gifski, r-cran-timetk, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cleants_0.1.2-1.ca2004.1_all.deb
Size: 80544
MD5sum: 94689654b89caea0cb8c0b53201bf7cb
SHA1: 1a6f708fcd34228824af44b4673bcde0ebd967e2
SHA256: 243292c0e133e17d4df362ec2e1a3bb0aa133993708fd134633148e45e6537a4
SHA512: c61a10ef19c577968faa895af7700d86c684eb82583b1c7f6ccb3c5f6dda51fb4bdfb59942d6d00b12cfc1c443b763262e6b002bef5106a60192b0886a365f5b
Homepage: https://cran.r-project.org/package=cleanTS
Description: CRAN Package 'cleanTS' (Testbench for Univariate Time Series Cleaning)
 A reliable and efficient tool for cleaning univariate time series data. It
 implements reliable and efficient procedures for automating the process of
 cleaning univariate time series data.  The package provides integration with
 already developed and deployed tools for missing value imputation and
 outlier detection. It also provides a way of visualizing large time-series
 data in different resolutions.

Package: r-cran-clear
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clear_0.0.4-1.ca2004.1_all.deb
Size: 10156
MD5sum: 87c7d756bc7c475fd909a75a53d6f082
SHA1: 4fdb9db9b54fa222396bd62d3f96d631066a9868
SHA256: 73004c698c312efb2458ef3f19054889481985b2cbf8bdd211f8f0bb50ab7d77
SHA512: 49167595dce4f8cd91b23de04d5a2690483faf628888d656e2614b2657d3708a2c441256c3025437d73c19ff71e75081d06eeee4f3e28e8e3a0463f3db058296
Homepage: https://cran.r-project.org/package=cleaR
Description: CRAN Package 'cleaR' (Clean the R Console and Environment)
 Small package to clean the R console and the R environment with the call of
 just one function.

Package: r-cran-clespr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-pbivnorm, r-cran-mass, r-cran-survival, r-cran-clordr, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-clespr_1.1.2-1.ca2004.1_all.deb
Size: 78652
MD5sum: 5c93708a5f7d2afe775d1bcf6750a2f7
SHA1: e675388a3daa1dc6e3f40b394db5b35e9c72cdc5
SHA256: 44eff4b52c1e8bf84cbdf7d00739487d437c9f445d08126a45602d44cf7c7965
SHA512: 5d525ba85fc16bdf5d937ddc389a79729dc87909efac836e3ce4795ec2e5dc1f224ed70335d708d7cacf8a06116c10f69541c5b3802c1e38f93ef8dfad8af51c
Homepage: https://cran.r-project.org/package=clespr
Description: CRAN Package 'clespr' (Composite Likelihood Estimation for Spatial Data)
 Composite likelihood approach is implemented to estimating statistical
 models for spatial ordinal and proportional data based on Feng et al. (2014)
 <doi:10.1002/env.2306>. Parameter estimates are identified by maximizing
 composite log-likelihood functions using the limited memory BFGS
 optimization algorithm with bounding constraints, while standard errors are
 obtained by estimating the Godambe information matrix.

Package: r-cran-cliapp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-fansi, r-cran-glue, r-cran-prettycode, r-cran-progress, r-cran-r6, r-cran-selectr, r-cran-withr, r-cran-xml2
Suggests: r-cran-callr, r-cran-covr, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cliapp_0.1.2-1.ca2004.1_all.deb
Size: 236716
MD5sum: 7f5ac8f6c1a03e583dbd0c05692823c5
SHA1: 58a8e70cfc62d91850d34d7880317c1965fd2951
SHA256: 7c396744b9484cf97c965dead6997026cadfde81a5d398588b8c2abbb1339080
SHA512: 4ab9d875c4d232957ee1464425a01b8023c850fcc5a3c10ae13e2bf667d22098dab743ede89d51a0dd2e475b76b6c5d737ab5fdbb95338e90c97798ed61ce184
Homepage: https://cran.r-project.org/package=cliapp
Description: CRAN Package 'cliapp' (Create Rich Command Line Applications)
 Create rich command line applications, with colors, headings, lists, alerts,
 progress bars, etc. It uses CSS for custom themes.  This package is now
 superseded by the 'cli' package. Please use 'cli' instead in new projects.

Package: r-cran-clickableimagemap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gridextra, r-cran-ggplotify, r-cran-ggplot2, r-cran-gtable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clickableimagemap_1.0-1.ca2004.1_all.deb
Size: 425900
MD5sum: 1cdbd5d16115d6be17415611d8994628
SHA1: 0eaeb4d556a903d5e2d8217eda73662dce43c9a9
SHA256: a044a500f4fb0a2261e9dff576bae05e393faed31151148c12853c04511204c8
SHA512: bfc4208888d71a098e9310e4bca8eac6184897aa9217bb98097877e266a12c3ce6ecb0453c213ca3197deaeb24172829cc5742b363bfc95d37737974d1c7679d
Homepage: https://cran.r-project.org/package=clickableImageMap
Description: CRAN Package 'clickableImageMap' (Implement 'tableGrob' Object as a Clickable Image Map)
 Implement 'tableGrob' object as a clickable image map.  The
 'clickableImageMap' package is designed to be more convenient and more
 configurable than the edit() function.  Limitations that I have encountered
 with edit() are cannot control (1) positioning (2) size (3) appearance and
 formatting of fonts In contrast, when the table is implemented as a
 'tableGrob', all of these features are controllable.  In particular, the
 'ggplot2' grid system allows exact positioning of the table relative to
 other graphics etc.

Package: r-cran-clickb
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-discreteweibull, r-cran-mclust, r-cran-mcmcpack
Suggests: r-cran-seqhmm
Filename: pool/dists/focal/main/r-cran-clickb_0.1-1.ca2004.1_all.deb
Size: 36768
MD5sum: bf1a2f6db393c3962567f736f5c4742c
SHA1: 7b9f139478ba78188d1eb50aeb99c881f947a464
SHA256: 6dd5af33710fe03eb272c3b05d88b2abd400259e89c419f870859c3d8c548426
SHA512: 0252bf1cc7f853028af5768f064b134e030857661263d43ec58762fb1e67979b602777c2d3cbfa1d883243d74524c453443d948ae3ee5e6fd7b3f3c988113965
Homepage: https://cran.r-project.org/package=clickb
Description: CRAN Package 'clickb' (Web Data Analysis by Bayesian Mixture of Markov Models)
 Designed for web usage data analysis, it implements tools to process web
 sequences and identify web browsing profiles through sequential
 classification. Sequences' clusters are identified by using a model-based
 approach, specifically mixture of discrete time first-order Markov models
 for categorical web sequences. A Bayesian approach is used to estimate model
 parameters and identify sequences classification as proposed by
 Fruehwirth-Schnatter and Pamminger (2010) <doi:10.1214/10-BA606>.

Package: r-cran-clickclustcont
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-clickclustcont_0.1.7-1.ca2004.1_all.deb
Size: 178220
MD5sum: 6ed13481b6a00f08ee18e63d4949098c
SHA1: 7f4c952eb06b3c49dbd8bf74a157f05a58716de8
SHA256: 7e9b2dd5f01e33a302fe069c3cbb00ce1c9d5d3efacf52fcac0a32c21a7f6d15
SHA512: 06a31f126c646861502d4f5ea16fe0816a27f684133f7da7061fc3a073a16d8410a885fbec05f42f40e76cd4e26028a70f1473797dd45023a9690fa0e6ef7d2a
Homepage: https://cran.r-project.org/package=ClickClustCont
Description: CRAN Package 'ClickClustCont' (Mixtures of Continuous Time Markov Models)
 Provides an expectation maximization (EM) algorithm to fit a mixture of
 continuous time Markov models for use with clickstream or other sequence
 type data. Gallaugher, M.P.B and McNicholas, P.D. (2018) <arXiv:1802.04849>.

Package: r-cran-clickhousehttp
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-httr, r-cran-jsonlite, r-cran-arrow, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-clickhousehttp_0.3.4-1.ca2004.1_all.deb
Size: 229344
MD5sum: 8fd94f36e36074cc27238160f53b8cd9
SHA1: 706d08412c4fe55e1b93870c3e716100b7388d0c
SHA256: 2c8cc1aa75dd1bb14a23688a057b7866e4e74478ef337d7bf6b6d99f759dd702
SHA512: 84d8d0021c377b715ac2fe5d84552393f799f6cd6e14daa3b5d0dbe8b8e3e8923d292df12ddf6fc64eb04f64ee276da60657e24de9286d08526ed59935540e84
Homepage: https://cran.r-project.org/package=ClickHouseHTTP
Description: CRAN Package 'ClickHouseHTTP' (A Simple HTTP Database Interface to 'ClickHouse')
 'ClickHouse' (<https://clickhouse.com/>) is an open-source, high performance
 columnar OLAP (online analytical processing of queries) database management
 system for real-time analytics using SQL. This 'DBI' backend relies on the
 'ClickHouse' HTTP interface and support HTTPS protocol.

Package: r-cran-clickr
Architecture: all
Version: 0.9.45-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beeswarm, r-cran-future, r-cran-future.apply, r-cran-stringdist
Filename: pool/dists/focal/main/r-cran-clickr_0.9.45-1.ca2004.1_all.deb
Size: 185516
MD5sum: c3d1d8d656d719f49acf87a31ce10174
SHA1: 0941981929214a2d3b689ca9c505cbf57d40fc15
SHA256: 6eff2c506ced8d5141f7ee7961b11779f8b2b282c2614c81cdbd3b6daf89cd79
SHA512: 4489e1ae4b6fda23d243488a6fe4db696e3a5e87f2c290ae95f193e37c9637ab01624891a0b8b66937e3aaccb6274d267705e81cc6def3c95620d201cd512608
Homepage: https://cran.r-project.org/package=clickR
Description: CRAN Package 'clickR' (Semi-Automatic Preprocessing of Messy Data with Change Trackingfor Dataset Cleaning)
 Tools for assessing data quality, performing exploratory analysis, and
 semi-automatic preprocessing of messy data with change tracking for integral
 dataset cleaning.

Package: r-cran-clickstream
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-reshape2, r-cran-mass, r-cran-plyr, r-cran-rsolnp, r-cran-arules, r-cran-linprog, r-cran-ggplot2, r-cran-clickclust, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-clickstream_1.3.3-1.ca2004.1_all.deb
Size: 317128
MD5sum: db3aa6368296273f48355023c17f51fa
SHA1: 4f89bed95cf33a5552ef8b328bde1a8fc8724174
SHA256: 0390f9414f73d30dfbdc2c83f3f1519f727a1f1319d9b29427474d06fd92fb59
SHA512: 31dbd4739fd903fc1b5e896fa3186300677811bc39af507faf3af9ad84a0e2e8b40d2c6ec71a3d176d867bc37d88b5397164e9e3671e8e40e3bd1597fe767a9f
Homepage: https://cran.r-project.org/package=clickstream
Description: CRAN Package 'clickstream' (Analyzes Clickstreams Based on Markov Chains)
 A set of tools to read, analyze and write lists of click sequences on
 websites (i.e., clickstream). A click can be represented by a number,
 character or string. Clickstreams can be modeled as zero- (only computes
 occurrence probabilities), first- or higher-order Markov chains.

Package: r-cran-clidamonger
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2900
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clidamonger_1.3.0-1.ca2004.1_all.deb
Size: 2933860
MD5sum: 85af38cb4a7a018f7801ba65a8505961
SHA1: d76762d4b8372c8584720911e2e458901e44362a
SHA256: 2503b8683b482827d8418730e81a8efb218b58ea10bb40d3d5916128f1dd1b74
SHA512: 660dca595fe0ef2fd21af5e193e7b6c9390561c058e7ac54b34fbc671c600f31b7e013e52eb873ccf9e72f789e249c66b34bb2457dc405524882dfb59c83ee43
Homepage: https://cran.r-project.org/package=clidamonger
Description: CRAN Package 'clidamonger' (Monthly Climate Data for Germany, Usable for Heating and CoolingCalculations)
 This data package contains monthly climate data in Germany, it can be used
 for heating and cooling calculations (external temperature, heating /
 cooling days, solar radiation).

Package: r-cran-clidatajp
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1193
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-rlang, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clidatajp_0.5.2-1.ca2004.1_all.deb
Size: 979668
MD5sum: b0d50a6118163b5b27d89ff865853f84
SHA1: c86e72fa115f3f1b12e602f1a7b33e1cf3f13761
SHA256: a714cd14c01ba47da456a69ad072869ddfd65492a292e119550080c032d1f342
SHA512: 7a1fdc5751bade6159c82292ec061d71dd2fd14291ccfc040569b258bd9b363c0cff2079d1a42cf2d881562a6b00ab8e4c42872d726ba575d6f6ffd0592e7eed
Homepage: https://cran.r-project.org/package=clidatajp
Description: CRAN Package 'clidatajp' (Data from Japan Meteorological Agency)
 Includes climate data from Japan Meteorological Agency ('JMA')
 <https://www.jma.go.jp/jma/indexe.html>.  Can download climate data from
 'JMA'.

Package: r-cran-cliff
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ellipsis, r-cran-processx, r-cran-rlang
Suggests: r-cran-withr, r-cran-crayon, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cliff_0.1.2-1.ca2004.1_all.deb
Size: 19904
MD5sum: 51ec6e28ff527330fd43c74dff097f77
SHA1: 7cc3a1a3f8d3b7c23d3294b21c22b53289e290b7
SHA256: b1aee0892e90f76cc65a24f68e20743a97a33a6772fc9ccc2e2c5fc77d13dc1f
SHA512: 3733df873567662e7f1849be810ae68b13264eb2beee17d61e02d0b3aaca99156a87488a6dc840d79f1d15104e9b82293637d8b295ee3ff799b4a436f1929a0c
Homepage: https://cran.r-project.org/package=cliff
Description: CRAN Package 'cliff' (Execute Command Line Programs Interactively)
 Execute command line programs and format results for interactive use. It is
 based on the package 'processx' so it does not use shell to start up the
 process like system() and system2(). It also provides a simpler and cleaner
 interface than processx::run().

Package: r-cran-clifro
Architecture: all
Version: 3.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-xml2, r-cran-magrittr, r-cran-ggplot2, r-cran-scales, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rvest, r-cran-httr, r-cran-stringr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clifro_3.2-5-1.ca2004.1_all.deb
Size: 709888
MD5sum: fe4f81a5a3abd28229cdea8e32256c31
SHA1: 98e35d044e5cb3851e9cbe97ddf6491b306654fb
SHA256: 09050b47710750a978e3d280f1fdae2b3cf93345eb49036159b3830450390b38
SHA512: 6b6d483a05d3e3f6979547eb4272d9c3ec73c788b6182d08d0c4f1c2b55421505def9221de7af67e914333ccfd932b5c485ac3fda47281750d83ac32c93bf299
Homepage: https://cran.r-project.org/package=clifro
Description: CRAN Package 'clifro' (Easily Download and Visualise Climate Data from CliFlo)
 CliFlo is a web portal to the New Zealand National Climate Database and
 provides public access (via subscription) to around 6,500 various climate
 stations (see <https://cliflo.niwa.co.nz/> for more information). Collating
 and manipulating data from CliFlo (hence clifro) and importing into R for
 further analysis, exploration and visualisation is now straightforward and
 coherent. The user is required to have an internet connection, and a current
 CliFlo subscription (free) if data from stations, other than the public
 Reefton electronic weather station, is sought.

Package: r-cran-cliftlrd
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cnltreg, r-cran-liftlrd
Suggests: r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-cliftlrd_0.1-2-1.ca2004.1_all.deb
Size: 40808
MD5sum: d4efd835149ea0d86728ffd10dc391d9
SHA1: 9eefb657060fda8bf543e729dd2d3f36c50dcd3c
SHA256: 793d6ed1cc7bfba6bc65bbff30cc0bd833d790a79f3d0ff63d23aa4b4331b504
SHA512: 7d4edb74b36aa4b4335ed63a84fb2f3a0e74f0d95b00a421c04f12be7c6fc24d94baa2d17565dc404389ba2cd939cd963ac5867d12d0ccf932f52679f1275cb9
Homepage: https://cran.r-project.org/package=CliftLRD
Description: CRAN Package 'CliftLRD' (Complex-Valued Wavelet Lifting Estimators of the Hurst Exponentfor Irregularly Sampled Time Series)
 Implementation of Hurst exponent estimators based on complex-valued lifting
 wavelet energy from Knight, M. I and Nunes, M. A. (2018)
 <doi:10.1007/s11222-018-9820-8>.

Package: r-cran-clikcorr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-clikcorr_1.0-1.ca2004.1_all.deb
Size: 146644
MD5sum: c1ee5a1a9f3cfe98fbbbd44253a28cd0
SHA1: cea2ac05d0fcd5f83af22cc23210741345cc9e3e
SHA256: fadf49b2f09676d1c16c55aaa15b64af1f1ca34b2541203bcf66e9f243b4a942
SHA512: 258f69ec35fd5cf5c75b3da83decb4903e4b9c0c2f3d5dce81ac19277444f9caeb312a5a3443afe60fd96164c9be401fef06b3a02224be4ac6e163c74fa43a95
Homepage: https://cran.r-project.org/package=clikcorr
Description: CRAN Package 'clikcorr' (Censoring Data and Likelihood-Based Correlation Estimation)
 A profile likelihood based method of estimation and inference on the
 correlation coefficient of bivariate data with different types of censoring
 and missingness.

Package: r-cran-climaemet
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1031
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-httr2, r-cran-jsonlite, r-cran-rappdirs, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-climatol, r-cran-gganimate, r-cran-jpeg, r-cran-knitr, r-cran-lifecycle, r-cran-lubridate, r-cran-mapspain, r-cran-rmarkdown, r-cran-scales, r-cran-sf, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climaemet_1.4.2-1.ca2004.1_all.deb
Size: 843876
MD5sum: 6b3fc7da4e3d8472a67553df9f391f1c
SHA1: b12cda6774a77ead20bb53a0b487e81c591bae5e
SHA256: 47246acf1bb974ac0f48e34641ce01e3a5fef42cb20a1f7f83ce2def2eabb963
SHA512: 8f3284e9ff12d7ca1f41d3f62726976054c50f82114c9d0b2f6403cd0c660d5d8e5d4cdbec8bd9bdf220c75700a8da4404bf4d2355ebd6e3f44e4c811600af58
Homepage: https://cran.r-project.org/package=climaemet
Description: CRAN Package 'climaemet' (Climate AEMET Tools)
 Tools to download the climatic data of the Spanish Meteorological Agency
 (AEMET) directly from R using their API and create scientific graphs
 (climate charts, trend analysis of climate time series, temperature and
 precipitation anomalies maps, warming stripes graphics, climatograms, etc.).

Package: r-cran-climarep
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3642
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-terra, r-cran-sf, r-cran-tidyterra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climarep_0.6-1.ca2004.1_all.deb
Size: 2275968
MD5sum: ad0a035c52d5f410083d64555db7f33e
SHA1: 2bdd1c09ae8f676d2ddeddda0045caf56a609e05
SHA256: 4cbae21c7aac794d796270922fb7827a66bac1a105c3538987df7be8f9575828
SHA512: fbf2888ee350df0ada9483abd81652eb89bda76a905ed510f6c3332944d71b2eb304c06473bf98d65144e4bd2633d938e5499f91fa00132941cf57e0a2e6cf35
Homepage: https://cran.r-project.org/package=ClimaRep
Description: CRAN Package 'ClimaRep' (Estimating Climate Representativeness)
 Offers tools to estimate the climate representativeness of defined areas and
 quantifies and analyzes its transformation under future climate change
 scenarios. Approaches described in Mingarro and Lobo (2018)
 <doi:10.32800/abc.2018.41.0333> and Mingarro and Lobo (2022)
 <doi:10.1017/S037689292100014X>.

Package: r-cran-climate
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1314
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-curl, r-cran-data.table, r-cran-httr, r-cran-stringi, r-cran-xml
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-maps, r-cran-testthat, r-cran-tidyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-climate_1.2.3-1.ca2004.1_all.deb
Size: 1084768
MD5sum: 0e367d2c20dc1f0758e3b68bea694297
SHA1: 338aa836352361355bcc1f2e7e30ee66e53bccf8
SHA256: 22c9fbf8eef6fc4e1ff8d554c7b13886926a8d94ea6a91b3b70a3a9222566113
SHA512: 100e16f80fb7a04d9489af54135cd61dc248a301d38a67e6ea8f4fa80765a36f74ba11b02fbb767ad67096d7f1d18ba61a31015205682ae1285a366fed859c47
Homepage: https://cran.r-project.org/package=climate
Description: CRAN Package 'climate' (Interface to Download Meteorological (and Hydrological) Datasets)
 Automatize downloading of meteorological and hydrological data from publicly
 available repositories: OGIMET (<http://ogimet.com/index.phtml.en>),
 University of Wyoming - atmospheric vertical profiling data
 (<http://weather.uwyo.edu/upperair/>), Polish Institute of Meteorology and
 Water Management - National Research Institute
 (<https://danepubliczne.imgw.pl>), and National Oceanic & Atmospheric
 Administration (NOAA).  This package also allows for searching geographical
 coordinates for each observation and calculate distances to the nearest
 stations.

Package: r-cran-climatestability
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 628
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-terra
Suggests: r-cran-rangebuilder, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-climatestability_0.1.4-1.ca2004.1_all.deb
Size: 209316
MD5sum: 780580ab5f33f6df3edfb1254bc28e5f
SHA1: 6864da8f913a65bf90f8f811008fc7e7d7325bcc
SHA256: 47ff6aaac951116e22839b82c1023dd588d225d854d8c5902b170f59572898da
SHA512: bf9a4517c8d3277ec048fdc58ebfe747ba38f5bdec3927f49304d7cf4c991c8732fb4c79896a230d459cecfe5bb9719be3ebb9069373e5a8e43fafd3a8688bef
Homepage: https://cran.r-project.org/package=climateStability
Description: CRAN Package 'climateStability' (Estimating Climate Stability from Climate Model Data)
 Climate stability measures are not formalized in the literature and tools
 for generating stability metrics from existing data are nascent.  This
 package provides tools for calculating climate stability from raster data
 encapsulating climate change as a series of time slices. The methods follow
 Owens and Guralnick <doi:10.17161/bi.v14i0.9786> Biodiversity Informatics.

Package: r-cran-climatol
Architecture: all
Version: 4.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2584
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-evd, r-cran-fields, r-cran-gstat, r-cran-maps, r-cran-mapdata, r-cran-ncdf4, r-cran-raster, r-cran-readxl, r-cran-rodbc, r-cran-sp
Filename: pool/dists/focal/main/r-cran-climatol_4.2-0-1.ca2004.1_all.deb
Size: 2329812
MD5sum: d11adefdb47906ecf8c8207277541c82
SHA1: 6f48fc01eb3d19e4913e4b006e56960d1dc08be0
SHA256: f229831d0b1d09b349fd4ab4396ef39d4f6d4f2e9dc51b34eb4a082539615cc4
SHA512: 449daee637005b4e7db1901d411981b3013b7b7401a0259b9302401a0792383ff431cd7516e5e9bdaec345cd42c6432b50d32c33886b529ae07556f03af674e5
Homepage: https://cran.r-project.org/package=climatol
Description: CRAN Package 'climatol' (Climate Tools (Series Homogenization and Derived Products))
 Functions for the quality control, homogenization and missing data filling
 of climatological series and to obtain climatological summaries and grids
 from the results. Also functions to display wind-roses, meteograms,
 Walter&Lieth diagrams, and more.

Package: r-cran-climatrends
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5578
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nasapower
Suggests: r-cran-ag5tools, r-cran-chirps, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climatrends_0.5-1.ca2004.1_all.deb
Size: 3780688
MD5sum: 30d43524ba631975926a6ee080f7516d
SHA1: 199bc589780978923700fbcfbae76a5a4ad22ead
SHA256: 7d32d1c3477efd6614808f818bc955980da8ff4e2978e8d2114897d7e9a7d32a
SHA512: 528efe6c550099d5ccc2e3c6b81fcc5329c1a880705d362ea6ad24da1ec87301b3478716fbab5d8c50ce5e798590e525820cd721e64f85e4d0501fe12e864472
Homepage: https://cran.r-project.org/package=climatrends
Description: CRAN Package 'climatrends' (Climate Variability Indices for Ecological Modelling)
 Supports analysis of trends in climate change, ecological and crop
 modelling.

Package: r-cran-climclass
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2390
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geosphere, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-stringr
Filename: pool/dists/focal/main/r-cran-climclass_2.1.1-1.ca2004.1_all.deb
Size: 2203908
MD5sum: 7a3a7db6b8e2cf804af7ab73fee0231e
SHA1: faf4a248aa840edef7ba47238282bb3f67b0f55d
SHA256: 3db918dbb696f7a7a77908bf86af449864e4b4ef1a639b98fe71b9173e5c7d85
SHA512: 398fcee46bd9e2c138a83f05e2d0e23444caa20b2f31fe48e2a60c44b58771b7fa15e9d4690c51c487dc90450b26d8a3841c69e2e7bd69aa756b2d6a1c4064f2
Homepage: https://cran.r-project.org/package=ClimClass
Description: CRAN Package 'ClimClass' (Climate Classification According to Several Indices)
 Classification of climate according to Koeppen - Geiger, of aridity indices,
 of continentality indices, of water balance after Thornthwaite, of
 viticultural bioclimatic indices. Drawing climographs: Thornthwaite, Peguy,
 Bagnouls-Gaussen.

Package: r-cran-climd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49761
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-ncdf4, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climd_0.1.0-1.ca2004.1_all.deb
Size: 2385552
MD5sum: f026666c6ca5e0f7828f24ef93029a9b
SHA1: 45894fc6e4ff2f7f9f4df30adfc8c3b5b875310b
SHA256: b2e4f53abfdefdad4ce9cb0d9b222228eca06cd21c99bf0a44154c505c8dce6a
SHA512: 9c8b7c59026fa220b51d61be074d56dd28fddb3187f4c5d6bf1ce541dce77c07b45ca20cedf6be2830c28bb3b37e0c537e30358313f1958577dfc772bd4689be
Homepage: https://cran.r-project.org/package=CLimd
Description: CRAN Package 'CLimd' (Generating Rainfall Rasters from IMD NetCDF Data)
 The developed function is a comprehensive tool for the analysis of India
 Meteorological Department (IMD) NetCDF rainfall data. Specifically designed
 to process high-resolution daily gridded rainfall datasets. It provides four
 key functions to process IMD NetCDF rainfall data and create rasters for
 various temporal scales, including annual, seasonal, monthly, and weekly
 rainfall. For method details see, Malik, A.
 (2019).<DOI:10.1007/s12517-019-4454-5>. It supports different aggregation
 methods, such as sum, min, max, mean, and standard deviation. These
 functions are designed for spatio-temporal analysis of rainfall patterns,
 trend analysis,geostatistical modeling of rainfall variability, identifying
 rainfall anomalies and extreme events and can be an input for hydrological
 and agricultural models.

Package: r-cran-clime
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-clime_0.5.0-1.ca2004.1_all.deb
Size: 42312
MD5sum: 2567295a18726ce55998abffa3e46201
SHA1: 3d5e434782ff16038ba739a7e0d079cf69b12bfa
SHA256: 144cd3e9b6441f5507fea441e03b53201af840e3f3cab566ebf1e7a7c8aabc6c
SHA512: e54fdb982123566fcb8e7d0947119b0c6479c5094381e4e5178a5f1d646978d2eed1ee72c98270c7f4dc143eb417f3b15ef06fd37f41ff8ec857ae21acf27d7e
Homepage: https://cran.r-project.org/package=clime
Description: CRAN Package 'clime' (Constrained L1-Minimization for Inverse (Covariance) MatrixEstimation)
 A robust constrained L1 minimization method for estimating a large sparse
 inverse covariance matrix (aka precision matrix), and recovering its support
 for building graphical models.  The computation uses linear programming.
 The method was published in TT Cai, W Liu, X Luo (2011)
 <doi:10.1198/jasa.2011.tm10155>.

Package: r-cran-climenv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2441
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-climaemet, r-cran-dismo, r-cran-dplyr, r-cran-elevatr, r-cran-exactextractr, r-cran-geodata, r-cran-glue, r-cran-plyr, r-cran-randomforest, r-cran-sf, r-cran-sp, r-cran-ternary, r-cran-terra
Suggests: r-cran-covr, r-cran-fs, r-cran-knitr, r-cran-progress, r-cran-raster, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-climenv_1.0.0-1.ca2004.1_all.deb
Size: 2048436
MD5sum: 0aa6a36bf6ae5f498b81de090faf55ed
SHA1: 9a464b249bd8d515b6a98a2327aa5ae4f1946dc2
SHA256: 6684893c0c64fdc6eaad4e820867a1e99005be3fe87eb99c36da3e076b22def8
SHA512: f3723a4ceb379960f3a5242b948faefbd32ab32eada7fa29c647a7a33f69908dfc2c03178ee5279714068d9a9a9494c033ba8883799aaffbd62fdafa54330131
Homepage: https://cran.r-project.org/package=climenv
Description: CRAN Package 'climenv' (Download, Extract and Visualise Climate and Elevation Data)
 Grants access to three widely recognised modelled data sets, namely Global
 Climate Data (WorldClim 2), Climatologies at high resolution for the earth's
 land surface areas (CHELSA), and National Aeronautics and Space
 Administration's (NASA) Shuttle Radar Topography Mission (SRTM). It handles
 both multi and single geospatial polygon and point data, extracts outputs
 that can serve as covariates in various ecological studies. Provides two
 common graphic options – the Walter-Lieth (1960)
 <https://donum.uliege.be/bitstream/2268.1/7079/1/Walter-Lieth_Klimadiagramm-Weltatlas.pdf>
 climate diagram and the Holdridge (1967)
 <https://reddcr.go.cr/sites/default/files/centro-de-documentacion/holdridge_1966_-_life_zone_ecology.pdf>
 life zone classification scheme. Provides one new graphic scheme of our own
 design which incorporates aspects of both Walter-Leigh and Holdridge.
 Provides user-friendly access and extraction of globally recognisable data
 sets to enhance their usability across a broad spectrum of applications.

Package: r-cran-climetrics
Architecture: all
Version: 1.0-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3829
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rts, r-cran-raster, r-cran-terra, r-cran-zoo, r-cran-yaimpute, r-cran-xts
Suggests: r-cran-r.rsp, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-climetrics_1.0-15-1.ca2004.1_all.deb
Size: 3174528
MD5sum: ce2013900f4e48928a5a64b7792e5054
SHA1: a8fea845d5a9380d024583e8c45ff7c7907e4d06
SHA256: 257071474f3592ef35e03bd6bbcbca81e6238c85c0f02059c8b3636f4e833a79
SHA512: c9d25bc925fca6d8da8e1ff5e655a34ba816dbca2f28b5c8596e66a938067445ecc839b4f89474e77f60f10917b78757add38459997c789aa44b04d1e42b9011
Homepage: https://cran.r-project.org/package=climetrics
Description: CRAN Package 'climetrics' (Climate Change Metrics)
 A framework that facilitates spatio-temporal analysis of climate dynamics
 through exploring and measuring different dimensions of climate change in
 space and time.

Package: r-cran-climextremes
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2192
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-extremes, r-cran-boot
Filename: pool/dists/focal/main/r-cran-climextremes_0.3.1-1.ca2004.1_all.deb
Size: 731048
MD5sum: eb5ae01be47134b7cebbfa80804ddb55
SHA1: 4cb5772f9c4bb473ed3939db71e4db0013433bee
SHA256: 1682523364b4a47009bbaef5107aab945afec4599be866b356a15a3b9f3186ee
SHA512: 0154b4add2b21ab2ad895287ca2bb9ec19e608c235443d7f091c32665ae54a84f06b9d8577ea4b5fd648490f5af1aa7f450de3f81121e5680f8a59dba613e395
Homepage: https://cran.r-project.org/package=climextRemes
Description: CRAN Package 'climextRemes' (Tools for Analyzing Climate Extremes)
 Functions for fitting GEV and POT (via point process fitting) models for
 extremes in climate data, providing return values, return probabilities, and
 return periods for stationary and nonstationary models.  Also provides
 differences in return values and differences in log return probabilities for
 contrasts of covariate values. Functions for estimating risk ratios for
 event attribution analyses, including uncertainty. Under the hood, many of
 the functions use functions from 'extRemes', including for fitting the
 statistical models. Details are given in Paciorek, Stone, and Wehner (2018)
 <doi:10.1016/j.wace.2018.01.002>.

Package: r-cran-climind
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1696
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spei, r-cran-chron, r-cran-weathermetrics
Suggests: r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climind_0.1-3-1.ca2004.1_all.deb
Size: 1617904
MD5sum: d6f1e9d77236e7d6fb81863a2c587e76
SHA1: 898080753fe849f35cb9c1ef1df0294a68036950
SHA256: 5cbd47954bbfb20e6b0e056217ecaadcf04dcb656d0191ec98229247a9cd550e
SHA512: ca553fadae0fe1e4eba421034b998b66f09fd48780debafe200f69e4ded5e63c1d924f61720398972c7122d12d95770e2b4c0653dc8d3e16f40fd4842955fc86
Homepage: https://cran.r-project.org/package=ClimInd
Description: CRAN Package 'ClimInd' (Climate Indices)
 Computes 138 standard climate indices at monthly, seasonal and annual
 resolution. These indices were selected, based on their direct and
 significant impacts on target sectors, after a thorough review of the
 literature in the field of extreme weather events and natural hazards.
 Overall, the selected indices characterize different aspects of the
 frequency, intensity and duration of extreme events, and are derived from a
 broad set of climatic variables, including surface air temperature,
 precipitation, relative humidity, wind speed, cloudiness, solar radiation,
 and snow cover. The 138 indices have been classified as follow: Temperature
 based indices (42), Precipitation based indices (22), Bioclimatic indices
 (21), Wind-based indices (5), Aridity/ continentality indices (10),
 Snow-based indices (13), Cloud/radiation based indices (6), Drought indices
 (8), Fire indices (5), Tourism indices (5).

Package: r-cran-climmobtools
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1218
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-lpsolve, r-cran-matrix, r-cran-rspectra
Suggests: r-cran-climatrends, r-cran-gosset, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-plackettluce, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-climmobtools_1.5-1.ca2004.1_all.deb
Size: 600604
MD5sum: 8aa823015161402ee355099aaa7fc84d
SHA1: 94c3e94be1a505fd0472d1a8d8c30730442dbfa3
SHA256: 031ffe879cde865af5284e606867f661f34c449c61a88442aa16ac2d8149a9c0
SHA512: 2141dbe24ef5863f20594b1f02eb1c8366b6a4606b3eb36f0294f08bb1ff1643853335f0e3a54e165f5b72b68980ab50c60dafeadfd1a797d23dd8ce01ff2952
Homepage: https://cran.r-project.org/package=ClimMobTools
Description: CRAN Package 'ClimMobTools' (API Client for the 'ClimMob' Platform)
 API client for 'ClimMob', an open source software for decentralized large-N
 trials with the 'tricot' approach <https://climmob.net/>.  Developed by van
 Etten et al. (2019) <doi:10.1017/S0014479716000739>, it turns the research
 paradigm on its head; instead of a few researchers designing complicated
 trials to compare several technologies in search of the best solutions for
 the target environment, it enables many participants to carry out reasonably
 simple experiments that taken together can offer even more information.
 'ClimMobTools' enables project managers to deep explore and analyse their
 'ClimMob' data in R.

Package: r-cran-climodr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1457
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-cast, r-cran-corrplot, r-cran-doparallel, r-cran-dplyr, r-cran-lares, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-terra, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-pls, r-cran-randomforest, r-cran-sp
Filename: pool/dists/focal/main/r-cran-climodr_1.0.0-1.ca2004.1_all.deb
Size: 1195524
MD5sum: 7e2dd3bb1ea59d5c0bf8421e1846afd7
SHA1: 9d47f55aa16b7650cf24fc6db4aeaad68a4eb0e0
SHA256: 26f9024eb8a0d0d5ad7136fc5a4e43907e335e894b1be4496ff081d6b7234df2
SHA512: 97e4effb8556b66d956415307880487c5ae10b35cd3b5fa1d648fb9eacf847eae02a1d7380551a53a9f7c8ee64368f5fae7e7828055c4ce5703af694a3cd8eb1
Homepage: https://cran.r-project.org/package=climodr
Description: CRAN Package 'climodr' (Climate Modeling with Point Data from Climate Stations)
 An automated and streamlined workflow for predictive climate mapping using
 climate station data. Works within an environment the user provides a
 destined path to - otherwise it's tempdir().  Quick and relatively easy
 creation of resilient and reproducible climate models, predictions and
 climate maps, shortening the usually long and complicated work of predictive
 modelling.  For more information, please find the provided URL.  Many
 methods in this package are new, but the main method is based on a workflow
 from Meyer (2019) <doi:10.1016/j.ecolmodel.2019.108815> and Meyer (2022)
 <doi:10.1038/s41467-022-29838-9> , however, it was generalized and adjusted
 in the context of this package.

Package: r-cran-climprojdiags
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1411
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-multiapply, r-cran-pcict
Suggests: r-cran-knitr, r-cran-testthat, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-climprojdiags_0.3.3-1.ca2004.1_all.deb
Size: 1014008
MD5sum: 62bbc2556f2fe7e71552c28fdc252a1a
SHA1: 4c303badd77bb8a60d18c7f7135976d869e33f3b
SHA256: 27eb9c639aa9bffe7d2f0498a2c2c2e7a4fa7ce65ae3adee10f51b9c80bdb987
SHA512: ad659c96a6747761096236431718b63da0ed3c05346004cd3e78286a109d717b80710ed51e50c4a93242ad0177f8ad17b10a06bd0b66d0c53be0f12256813dec
Homepage: https://cran.r-project.org/package=ClimProjDiags
Description: CRAN Package 'ClimProjDiags' (Set of Tools to Compute Various Climate Indices)
 Set of tools to compute metrics and indices for climate analysis.  The
 package provides functions to compute extreme indices, evaluate the
 agreement between models and combine theses models into an ensemble.
 Multi-model time series of climate indices can be computed either after
 averaging the 2-D fields from different models provided they share a common
 grid or by combining time series computed on the model native grid. Indices
 can be assigned weights and/or combined to construct new indices.

Package: r-cran-climwin
Architecture: all
Version: 1.2.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1659
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-matrix, r-cran-evd, r-cran-lubridate, r-cran-lme4, r-cran-mumin, r-cran-reshape, r-cran-numderiv, r-cran-rcpproll, r-cran-nlme
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-climwin_1.2.31-1.ca2004.1_all.deb
Size: 1202808
MD5sum: 82b52c343b414812d433656290be65ea
SHA1: 29e6e76fc1177895d25a5cebf85a2a2d8b93d48d
SHA256: 475896e0601a7280436760c19811fe3300d50197cfdf2c2e6b6c61919a33149c
SHA512: 10f200f31de7209fc909aafdcac5676c63c55c8e5e49b1ab003864c900a266e5cf89465cc35ce053c2a3070810f6b228345e35071f233389bcc78a152c5ce025
Homepage: https://cran.r-project.org/package=climwin
Description: CRAN Package 'climwin' (Climate Window Analysis)
 Contains functions to detect and visualise periods of climate sensitivity
 (climate windows) for a given biological response.  Please see van de Pol et
 al. (2016) <doi:10.1111/2041-210X.12590> and Bailey and van de Pol (2016)
 <doi:10.1371/journal.pone.0167980> for details.

Package: r-cran-clindatareview
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bookdown, r-cran-clinutils, r-cran-crosstalk, r-cran-data.table, r-cran-ggplot2, r-cran-haven, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-plotly, r-cran-plyr, r-cran-rmarkdown, r-cran-stringr, r-cran-yaml, r-cran-xml2, r-cran-xfun, r-cran-base64enc
Suggests: r-cran-countrycode, r-cran-intextsummarytable, r-cran-patientprofilesvis, r-cran-testthat, r-cran-dt, r-cran-scales
Filename: pool/dists/focal/main/r-cran-clindatareview_1.6.2-1.ca2004.1_all.deb
Size: 1832192
MD5sum: a36bc93e364e060037bbd0762ab3ceb5
SHA1: 20151e19f96cb1e8cc3e19684237345551b70d8d
SHA256: 8b3f26eb9058d077cde853307b8d1e2a33b3351ed7d65e6063fec298f1f6b93a
SHA512: ac2f916ee94c9147927ddf1672ce8a29713e608a62966bc2f4aff239eb88be4d453f6574fa004f302883a630499137f4e2bb36c16f2fa18fecbd31b66db0fba1
Homepage: https://cran.r-project.org/package=clinDataReview
Description: CRAN Package 'clinDataReview' (Clinical Data Review Tool)
 Creation of interactive tables, listings and figures ('TLFs') and associated
 report for exploratory analysis of data in a clinical trial, e.g. for
 clinical oversight activities.  Interactive figures include sunburst,
 treemap, scatterplot, line plot and barplot of counts data.  Interactive
 tables include table of summary statistics (as counts of adverse events,
 enrollment table) and listings.  Possibility to compare data (summary table
 or listing) across two data batches/sets.  A clinical data review report is
 created via study-specific configuration files and template 'R Markdown'
 reports contained in the package.

Package: r-cran-clindr
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2900
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rstan, r-cran-shiny, r-cran-foreach, r-cran-dosefinding, r-cran-mvtnorm, r-cran-doparallel, r-cran-ggplot2, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-glue, r-cran-waiter
Filename: pool/dists/focal/main/r-cran-clindr_2.4.1-1.ca2004.1_all.deb
Size: 1919776
MD5sum: 85a6df878c7626a1e18f2685dca15582
SHA1: b63ec6bf341067053b4f9634bb40c132ed8803e3
SHA256: 8edc0500028f052e8c6f30378d12baf9aa5c4a8f4a0bbf3d2e5c419bdbc7260c
SHA512: 949cd5e45ac492d9a9f384ea7e4d393e226662cae296e4f34629ff368182e2e9fdcaac2cfc1e90907f044a646765d507265fd6b917eec621b9da4150234b5081
Homepage: https://cran.r-project.org/package=clinDR
Description: CRAN Package 'clinDR' (Simulation and Analysis Tools for Clinical Dose ResponseModeling)
 Bayesian and ML Emax model fitting, graphics and simulation for clinical
 dose response.  The summary data from the dose response meta-analyses in
 Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and
 Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229> Wu, Banerjee, Jin,
 Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528> are
 included in the package.  The prior distributions for the Bayesian analyses
 default to the posterior predictive distributions derived from these
 references.

Package: r-cran-clinicalomicsdbr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-r6, r-cran-dplyr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-clinicalomicsdbr_1.0.5-1.ca2004.1_all.deb
Size: 52140
MD5sum: c4632e8db05a0263dad9d0d84551450a
SHA1: 032e098b854846106ef0cab7babc69827201d104
SHA256: 679058ba1174cfe928d8453e3fcfc95e4836211dbaa75478ec9afe85c2c5e39e
SHA512: c4c1c8e8c8a133cfe5f2775cfc0875a9c61d95dda34d8bd86eb8b2adf1e0d9f40b24ec18435ec3c003c2f65a78a05ce0afd2316e82fd5666bbb566c77a58b28d
Homepage: https://cran.r-project.org/package=clinicalomicsdbR
Description: CRAN Package 'clinicalomicsdbR' (Interface with the 'ClinicalOmicsDB' API, Allowing for Easy DataDownloading and Importing)
 Provides an interface to the 'ClinicalOmicsDB' API, allowing for easy data
 downloading and importing. 'ClinicalOmicsDB' is a database of clinical and
 'omics' data from cancer patients. The database is accessible at
 <http://trials.linkedomics.org>.

Package: r-cran-clinicalsignificance
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1166
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesfactor, r-cran-bayestestr, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-insight, r-cran-lme4, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-clinicalsignificance_2.1.0-1.ca2004.1_all.deb
Size: 686860
MD5sum: 5d5561822724b3041dfbf41406554b93
SHA1: 415b9da0e7842abbcb0667a032984ba7c701bcbc
SHA256: 41690bb2ae07fa9421234f8124e09c8e61403b8a2c9dba19a4147e2f4ae24f1b
SHA512: 14649ecf2eef713a90ea57b57b13e760a8c78e6927a60d7dc8ec43d571b6aa7b39c5e521a45fdb2ad83c96e69d45b9043ac99b5a94680d0ba77204fdffd5d5c3
Homepage: https://cran.r-project.org/package=clinicalsignificance
Description: CRAN Package 'clinicalsignificance' (A Toolbox for Clinical Significance Analyses in InterventionStudies)
 A clinical significance analysis can be used to determine if an intervention
 has a meaningful or practical effect for patients. You provide a tidy data
 set plus a few more metrics and this package will take care of it to make
 your results publication ready. Accompanying package to Claus et al.
 <doi:10.18637/jss.v111.i01>.

Package: r-cran-clinicalutilityrecal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-caret, r-cran-ggplot2, r-cran-cowplot, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-clinicalutilityrecal_0.1.0-1.ca2004.1_all.deb
Size: 103644
MD5sum: be6fa7cb5d47803492637c19229a5d30
SHA1: 6affbd6c5b155957cba20d17556fe5ef3cd18655
SHA256: 92f3e3018395f2dde3c1baa08102952d81813e557717d0e8436d805d69969876
SHA512: 195f4e9803c10bb7320f8ae7caa16485a85bb232a9d3ddbea6124eaba0af5b015bed71a5693790e04b8610a5bd73721432304c4673fa6a4916f1525cfd89f62c
Homepage: https://cran.r-project.org/package=ClinicalUtilityRecal
Description: CRAN Package 'ClinicalUtilityRecal' (Recalibration Methods for Improved Clinical Utility of RiskScores)
 Recalibrate risk scores (predicting binary outcomes) to improve clinical
 utility of risk score using weighted logistic or constrained logistic
 recalibration methods. Additionally, produces plots to assess the potential
 for recalibration to improve the clinical utility of a risk model. Methods
 are described in detail in Mishra, A. (2019) "Methods for Risk Markers that
 Incorporate Clinical Utility" <http://hdl.handle.net/1773/44068>.

Package: r-cran-clinify
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flextable, r-cran-officer, r-cran-magrittr, r-cran-dplyr, r-cran-knitr, r-cran-htmltools, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-tplyr, r-cran-rvest, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-clinify_0.1.2-1.ca2004.1_all.deb
Size: 136068
MD5sum: 283ecdb8aea4d8e97cb03300a7883b29
SHA1: c12a2c958618da0cbe1b8a6de340179daeaefeda
SHA256: 5de7a8a3032a1a4e6cb580196563566ddd7b1024f2f340e091d6c907b53062b4
SHA512: 23cab777004acf6d7ce31579b763244b1e86894033a8cbcaa87bf2c7a0ae56bd928ac007db7a91299ed193a9fe46e4406e06af5e9729bced929e6edf83a5190c
Homepage: https://cran.r-project.org/package=clinify
Description: CRAN Package 'clinify' (Clinical Table Styling Tools and Utilities)
 The primary motivation of this package is to take the things that are great
 about the R packages 'flextable' <https://davidgohel.github.io/flextable/>
 and 'officer' <https://davidgohel.github.io/officer/>, take the standard and
 complex pieces of formatting clinical tables for regulatory use, and
 simplify the tedious pieces.

Package: r-cran-clinmon
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1847
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clinmon_0.6.0-1.ca2004.1_all.deb
Size: 449092
MD5sum: b784ea5ef8e5f7101098a0290b88a570
SHA1: acb3c79ed68d55e078518a4736cfb61f391140b2
SHA256: 771d767e19744504d7826857a4dfda7a0f99150f3a6ea6d9ca642b12cb3ed1ef
SHA512: dd74a91661392e76f60c508c5f24d94e4fd62ce6f844ccbe9a674ec5b8abf0eeec88f3db33c1ba5abcc1aa320f9dc082b92a295e84783768b1eef20b1c075def
Homepage: https://cran.r-project.org/package=clinmon
Description: CRAN Package 'clinmon' (Hemodynamic Calculations from Clinical Monitoring)
 Every research team have their own script for calculation of hemodynamic
 indexes.  This package makes it possible to insert a long-format dataframe,
 and add both periods of interest (trigger-periods), and delete artifacts
 with deleter-files.

Package: r-cran-clinpk
Architecture: all
Version: 0.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2478
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clinpk_0.13.0-1.ca2004.1_all.deb
Size: 685464
MD5sum: 857031640f092a8cd7a3115547a3c8e0
SHA1: aab77aeefc9b2d50fbdeaf495a017b65f8abd8ae
SHA256: 38d9b1dfdc8c1566a167cbf9ddbd718fce0f363042375e44f8fe18687ed7294b
SHA512: 2c7c1368a65b8c0b56b6215e0d5394ddcbb7e00098b887ba6240504de2d33a7fc83d859f2368b911877f868d782eaee692ca5a32abfbdab9eb70d0d07a9bb2ca
Homepage: https://cran.r-project.org/package=clinPK
Description: CRAN Package 'clinPK' (Clinical Pharmacokinetics Toolkit)
 Provides equations commonly used in clinical pharmacokinetics and clinical
 pharmacology, such as equations for dose individualization, compartmental
 pharmacokinetics, drug exposure, anthropomorphic calculations, clinical
 chemistry, and conversion of common clinical parameters. Where possible and
 relevant, it provides multiple published and peer-reviewed equations within
 the respective R function.

Package: r-cran-clinpubr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-car, r-cran-caret, r-cran-dcurves, r-cran-desctools, r-cran-dplyr, r-cran-fbasics, r-cran-forestploter, r-cran-ggplot2, r-cran-proc, r-cran-resourceselection, r-cran-rlang, r-cran-rms, r-cran-rstatix, r-cran-stringi, r-cran-stringr, r-cran-survival, r-cran-survminer, r-cran-tableone, r-cran-tidyr
Suggests: r-cran-dtplyr, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-clinpubr_1.0.1-1.ca2004.1_all.deb
Size: 620044
MD5sum: f8fbf5c1b482ca777c4bb966f41c88f0
SHA1: 8b055f30c7769129f0f50754197430d57a21b2bc
SHA256: 73f4394b5ae75ed2eea9a806332a08d3bc3056b467d320e7db1cb840edee356a
SHA512: 4d9b3e84967e7e20637cee7b89d94ded0e6ab8ee70217de40c795b5b399f97eaa6b677ea3ac572dbbe893e5061493c8ad1b72f23f993038f9438987e00400c5e
Homepage: https://cran.r-project.org/package=clinpubr
Description: CRAN Package 'clinpubr' (Clinical Publication)
 Accelerate the process from clinical data to medical publication, including
 clinical data cleaning, significant result screening, and the generation of
 publish-ready tables and figures.

Package: r-cran-clinsig
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clinsig_1.2-1.ca2004.1_all.deb
Size: 41520
MD5sum: fec8394999a9fecf7474685431f528c8
SHA1: 05d4190953e871ffc8b07195f214b6dbe69fb129
SHA256: e5550e48bedfb23e106db370615099a1dfd8c97f2db4f4c7812012efc7c7aff7
SHA512: ca3a8c21c36eb2486c98210546af1fc262154b71eb2e36261413194dc3e0f1e3d3ad97fefedcdc6da2025f86c72c5e5a90f06d5cf687f1dd8d62516696d4228c
Homepage: https://cran.r-project.org/package=clinsig
Description: CRAN Package 'clinsig' (Clinical Significance Functions)
 Functions for calculating clinical significance.

Package: r-cran-clinsigmeasures
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clinsigmeasures_1.2-1.ca2004.1_all.deb
Size: 48400
MD5sum: 7f11678124c711f7224563e22e54674a
SHA1: e4e63b1fa587cd317ed9c6f07378250341504234
SHA256: 44f60f4ff808036dadf629b6f249dbdb66dcafe37ade2a95d9ffd8ebd805b669
SHA512: 15fb65da65f96dd0201e9422a3833036587ad9b34ee5babab8c550d0c8411f669fdfb3c6a6af14866beef1a3a0db820bad0023f84228e42fe1223aef7fa44328
Homepage: https://cran.r-project.org/package=ClinSigMeasures
Description: CRAN Package 'ClinSigMeasures' (Clinical Significance Measures)
 Provides measures of effect sizes for summarized continuous variables as
 well as diagnostic accuracy statistics for 2x2 table data. Includes
 functions for Cohen's d, robust effect size, Cohen's q, partial eta-squared,
 coefficient of variation, odds ratio, likelihood ratios, sensitivity,
 specificity, positive and negative predictive values, Youden index, number
 needed to treat, number needed to diagnose, and predictive summary index.

Package: r-cran-clinspacy
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-data.table, r-cran-assertthat, r-cran-rappdirs, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clinspacy_1.0.2-1.ca2004.1_all.deb
Size: 61972
MD5sum: 2378f3403b56402afbe0394b65be5fcb
SHA1: f835fa7822d22facfcedf0bef21c46c4f2853e3e
SHA256: 4c3036bc675857ea538ead289e369aaf1d694e168dde6ac38c5236ad96a30460
SHA512: bfe00ae3f9be6e10cf768fa58477e3f21ee1017c3291dfcae2255ea4a9b72ef70ee07458092e7e0fbf1761ba02c57ab7eff1c8ae21568927964344af124a07fe
Homepage: https://cran.r-project.org/package=clinspacy
Description: CRAN Package 'clinspacy' (Clinical Natural Language Processing using 'spaCy', 'scispaCy',and 'medspaCy')
 Performs biomedical named entity recognition, Unified Medical Language
 System (UMLS) concept mapping, and negation detection using the Python
 'spaCy', 'scispaCy', and 'medspaCy' packages, and transforms extracted data
 into a wide format for inclusion in machine learning models. The development
 of the 'scispaCy' package is described by Neumann (2019)
 <doi:10.18653/v1/W19-5034>. The 'medspacy' package uses 'ConText', an
 algorithm for determining the context of clinical statements described by
 Harkema (2009) <doi:10.1016/j.jbi.2009.05.002>. Clinspacy also supports
 entity embeddings from 'scispaCy' and UMLS 'cui2vec' concept embeddings
 developed by Beam (2018) <arXiv:1804.01486>.

Package: r-cran-clintools
Architecture: all
Version: 0.9.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-signal, r-cran-xml2, r-cran-lme4, r-cran-ggplot2, r-cran-proc, r-cran-irr, r-cran-nlme, r-cran-parameters, r-cran-stringi, r-cran-scales, r-cran-dplyr, r-cran-survival, r-cran-pander
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clintools_0.9.10.1-1.ca2004.1_all.deb
Size: 723592
MD5sum: 74e8930e9baa7d2f3fa00acf6ce939cc
SHA1: c34dadd858e5e4818db882f4e9aa21a55488a60e
SHA256: b341058b21f3f43b77e0aaa557cbb031a1b340c3f6b2af26f0e4378771a7dffe
SHA512: 70d1a3cc114da0413f4aa8325dc59bdbe54ba545655ed271cf21efcfad6d21ef7fc7752b588ec6dfd784d4034b8603d80b2b91f1d2657d46f180977c59949d5e
Homepage: https://cran.r-project.org/package=clintools
Description: CRAN Package 'clintools' (Tools for Clinical Research)
 Every research team have their own script for data management, statistics
 and most importantly hemodynamic indices. The purpose is to standardize
 scripts utilized in clinical research. The hemodynamic indices can be used
 in a long-format dataframe, and add both periods of interest
 (trigger-periods), and delete artifacts with deleter-files.  Transfer
 function analysis (Claassen et al. (2016) <doi:10.1177/0271678X15626425>)
 and Mx (Czosnyka et al. (1996) <doi:10.1161/01.str.27.10.1829>) can be
 calculated using this package.

Package: r-cran-clintrialpredict
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-clintrialpredict_0.0.4-1.ca2004.1_all.deb
Size: 310272
MD5sum: 275754ed8169382bf87e9ed21f7d3ac6
SHA1: 2633aa778711de5d5c4b76b6e5c4316bddde7a48
SHA256: 3b1bc14780aa31bae3f061edde7bdc23797e7d313b4762fc4a9891f6f11d4a3d
SHA512: b8915485f0f7fd36b11099a4d4548776bbf7559501eeddd814c46664516b4cb97bbbe3479897f9719b8fd1b15b7fb6715b474ff6b9f804443ef7ed1d5a281f22
Homepage: https://cran.r-project.org/package=ClinTrialPredict
Description: CRAN Package 'ClinTrialPredict' (Predicting and Simulating Clinical Trial with Time-to-EventEndpoint)
 Predict the course of clinical trial with a time-to-event endpoint for both
 two-arm and single-arm design. Each of the four primary study design
 parameters (the expected number of observed events, the number of subjects
 enrolled, the observation time, and the censoring parameter) can be derived
 analytically given the other three parameters. And the simulation datasets
 can be generated based on the design settings.

Package: r-cran-clintrialx
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-lubridate, r-cran-readr, r-cran-dplyr, r-cran-progress, r-cran-rpostgresql, r-cran-tibble, r-cran-dbi, r-cran-rmarkdown
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-clintrialx_0.1.1-1.ca2004.1_all.deb
Size: 385640
MD5sum: 7bc748dca0915b2964ef2f3b8313a42a
SHA1: 847240a0fe453bab242a1a2c8e07eb1e2c777f65
SHA256: 7acf1a0ee9047f22c30b29a95b0806d1cd333e04e9f28ae67115939ec4a8f094
SHA512: 2c1edae65f29bddd99ba125ca14dd59805f7cdbf415e0166c5e2887a3065bfa0c3fd0759c74136640046797bc930009593220aa4fc470e4059c85da6868caa3f
Homepage: https://cran.r-project.org/package=clintrialx
Description: CRAN Package 'clintrialx' (Connect and Work with Clinical Trials Data Sources)
 Are you spending too much time fetching and managing clinical trial data?
 Struggling with complex queries and bulk data extraction? What if you could
 simplify this process with just a few lines of code? Introducing
 'clintrialx' - Fetch clinical trial data from sources like
 'ClinicalTrials.gov' <https://clinicaltrials.gov/> and the 'Clinical Trials
 Transformation Initiative - Access to Aggregate Content of
 ClinicalTrials.gov' database <https://aact.ctti-clinicaltrials.org/>,
 supporting pagination and bulk downloads. Also, you can generate HTML
 reports based on the data obtained from the sources!

Package: r-cran-clinutidna
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clinutidna_1.0-1.ca2004.1_all.deb
Size: 73116
MD5sum: 5da44e5b2fdf3a17acaa5b7133cc66ef
SHA1: 63d8c3a90042d61b727726ee977aa74a95515b7b
SHA256: 7a1fdd56fe9a939e5d4b98e13d6daadafd1c77cdefbac618ed8bf406cc7e70f3
SHA512: 6fc0d1f3ace21dd518c8388368dd1367c7c71aa3a3a5b3ffc655d8d158e24e7f11f8ac85907047b4ee83e865038348aac9641dbfb35587971153cc5fd02c855e
Homepage: https://cran.r-project.org/package=clinUtiDNA
Description: CRAN Package 'clinUtiDNA' (Clinical Utility of DNA Testing)
 This package provides the estimation of an index measuring the clinical
 utility of DNA testing in the context of gene-environment interactions on a
 disease. The corresponding gene-environment interaction effect on the
 additive scale can also be obtained. The estimation is based on case-control
 or cohort data. The method was developed by Nguyen et al. 2013.

Package: r-cran-clinutils
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7691
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crosstalk, r-cran-data.table, r-cran-dt, r-cran-haven, r-cran-htmlwidgets, r-cran-knitr, r-cran-plyr, r-cran-viridislite
Suggests: r-cran-tibble, r-cran-ggplot2, r-cran-plotly, r-cran-htmltools, r-cran-pander, r-cran-rmarkdown, r-cran-testthat, r-cran-flextable
Filename: pool/dists/focal/main/r-cran-clinutils_0.2.0-1.ca2004.1_all.deb
Size: 2212440
MD5sum: 83895273ee9a32f226859a3086d460f9
SHA1: dfa8b3ac919f8b67a1680ce24fa1c8779db2eb9f
SHA256: 7bf3d634b9ab9b2bdc13eb58d1476c5907ab09c95cf4b8341d9bff2177f56692
SHA512: 5b3e22e4f5c4d24eab90ed11e55ce5d02fedfa3e3fa5e79b8419cf8d590fbbdef293d8237cf8de421b68b4b391e8a1915ef110d639abd1712a14bde8c2856dfb
Homepage: https://cran.r-project.org/package=clinUtils
Description: CRAN Package 'clinUtils' (General Utility Functions for Analysis of Clinical Data)
 Utility functions to facilitate the import, the reporting and analysis of
 clinical data.  Example datasets in 'SDTM' and 'ADaM' format, containing a
 subset of patients/domains from the 'CDISC Pilot 01 study' are also
 available as R datasets to demonstrate the package functionalities.

Package: r-cran-cliot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cliot_0.2.0-1.ca2004.1_all.deb
Size: 61892
MD5sum: 113b9544fa570b1110277f351145a5b0
SHA1: ea446bbe9a50cff154320663f263a1e4de0b2b20
SHA256: f4d31d156d0ed5e01a420fdc81ceb2b7b7edd36f2beeb4a3944ba9e11b727ea9
SHA512: 85f743bce47e5d03551d416d3fdff544bc5a6e943b294ce88a15085583b9da5cda31c7d1ffac594584fbbd661a52dc9648561e13f74e20e6ff2c296a1c88f7c0
Homepage: https://cran.r-project.org/package=cliot
Description: CRAN Package 'cliot' (Clinical Indices and Outcomes Tools)
 Collection of indices and tools relating to cardiovascular, nephrology, and
 hepatic research that aid epidemiological chort or retrospective chart
 review with big data. All indices and tools take commonly used lab values
 and patient demographics and measurements to compute various risk and
 predictive values for survival. References to original literature and
 validation contained in each function documentation.

Package: r-cran-clipp
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clipp_1.1.1-1.ca2004.1_all.deb
Size: 247096
MD5sum: 9304ab7fadfeecd81abe2f8f14ad98d1
SHA1: 395e9da0fbef84f56c940a4f029ac3fdd37d2b5e
SHA256: 0694d72a0ba8c21ea772c327029fe1ae57601a78a937fc4f949089ec0b6e2f8b
SHA512: 5be6f0b334784015cece493fea6ed95ebfee42f2a92ed84805333533d1869fa67616b0f3ba16856e5496ca850ee21afdc13741071efe7a72119afce866242481
Homepage: https://cran.r-project.org/package=clipp
Description: CRAN Package 'clipp' (Calculating Likelihoods by Pedigree Paring)
 A fast and general implementation of the Elston-Stewart algorithm that can
 calculate the likelihoods of large and complex pedigrees.  References for
 the Elston-Stewart algorithm are Elston & Stewart (1971)
 <doi:10.1159/000152448>, Lange & Elston (1975) <doi:10.1159/000152714> and
 Cannings et al. (1978) <doi:10.2307/1426718>.

Package: r-cran-clipr
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clipr_0.8.0-1.ca2004.1_all.deb
Size: 50192
MD5sum: b96de30b3a5c6dedb51ed6c5253102a3
SHA1: dd382ef57b87563cd2265ed850d7c1d0d93cf211
SHA256: f1b7d415afa30e5a5232eeb75595c4cecb0902f7b1c4dde11b8962f5b7ef9ee2
SHA512: 45c2d336b31938581ed170c0e606bda2751eebaf2763113df73384d273b85ed1f223d14515ee301dfdfc1c2214aec6d914a52860d04deee9c138e908fb41d23e
Homepage: https://cran.r-project.org/package=clipr
Description: CRAN Package 'clipr' (Read and Write from the System Clipboard)
 Simple utility functions to read from and write to the Windows, OS X, and
 X11 clipboards.

Package: r-cran-cliquepercolation
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1582
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-colorspace, r-cran-igraph, r-cran-magrittr, r-cran-matrix, r-cran-polychrome, r-cran-qgraph, r-cran-lessr, r-cran-ohenery, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cliquepercolation_0.4.0-1.ca2004.1_all.deb
Size: 1071108
MD5sum: e537a5538e0eaf02bef44aeb37243ed4
SHA1: cf51eb5ea4da26341cc5ca1b47bfae9ba582f51b
SHA256: a451a9fb624719a62d4ace7dda121c4e0c865cc8977dcf193fed81f762978c3d
SHA512: 618fbd2795e1bac2eb37b3b1d353965abf8a9b1e6afc0919a3fffe7cfbd0b2e5bd06baf9a50709461b3c4401f50b5a38f34fbbf8ccc5dd409a3bf4f66b4024fa
Homepage: https://cran.r-project.org/package=CliquePercolation
Description: CRAN Package 'CliquePercolation' (Clique Percolation for Networks)
 Clique percolation community detection for weighted and unweighted networks
 as well as threshold and plotting functions.  For more information see
 Farkas et al. (2007) <doi:10.1088/1367-2630/9/6/180> and Palla et al. (2005)
 <doi:10.1038/nature03607>.

Package: r-cran-clisymbols
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clisymbols_1.2.0-1.ca2004.1_all.deb
Size: 19052
MD5sum: d9a22a48eb9e3403ab760a415be1d1b6
SHA1: fb950546ca2698398308667e4ef2281b68599c7d
SHA256: 88c11ce045ac03983a3a58bd385e7ce32d90fd507aebd4cd8822f9e5278f2af6
SHA512: 9327076f3c8244b2ea633856fadfa881c8619b4e7b2b5c56f5cb7bbf625dc60187ca0737e0435087ec3cd1a0c081d2df120e7ac641383b13bd3abccdee5252e1
Homepage: https://cran.r-project.org/package=clisymbols
Description: CRAN Package 'clisymbols' (Unicode Symbols at the R Prompt)
 A small subset of Unicode symbols, that are useful when building command
 line applications. They fall back to alternatives on terminals that do not
 support Unicode.  Many symbols were taken from the 'figures' 'npm' package
 (see <https://github.com/sindresorhus/figures>).

Package: r-cran-clme
Architecture: all
Version: 2.0-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-lme4, r-cran-mass, r-cran-nlme, r-cran-isotone, r-cran-stringr, r-cran-prettyr, r-cran-openxlsx
Suggests: r-cran-testthat, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-clme_2.0-12-1.ca2004.1_all.deb
Size: 330488
MD5sum: ac3f976410abced6fd80559b0d028fa1
SHA1: 99a1d4febe851b1188094546929c1e652ffdc2f5
SHA256: 4ea631084c7dd5f704ceed8854ef051962441861e55df91520d1a040360e11d9
SHA512: 1de584a054754f47ae2eabf4a2de0c7ed17c47aa331a5834d6d7e2af18caab91b3246f446ee23b934bb71b38ff436bb0c17be49fb21f6ac975d3f74dcc662d15
Homepage: https://cran.r-project.org/package=CLME
Description: CRAN Package 'CLME' (Constrained Inference for Linear Mixed Effects Models)
 Estimation and inference for linear models where some or all of the
 fixed-effects coefficients are subject to order restrictions. This package
 uses the robust residual bootstrap methodology for inference, and can handle
 some structure in the residual variance matrix.

Package: r-cran-clmplus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stmomo, r-cran-chainladder, r-cran-ggplot2, r-cran-forecast, r-cran-gridextra, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-apc, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-clmplus_1.0.0-1.ca2004.1_all.deb
Size: 182156
MD5sum: cd11d7dd6dc561ed3c062ba63b8ddb40
SHA1: 2effd088342545752807e3809d2836d47454350f
SHA256: c4942590a530be20dff150814d4874a450db06bf699b3a04c22cd6bddcb9ebd7
SHA512: cb185aa80e01754859b33e12832b8b0d17e67cac097f8b467d92433418f4b40982e366c4245e654aa33b6563fa0d150b801c61a1cdc02239d43f76faa366818a
Homepage: https://cran.r-project.org/package=clmplus
Description: CRAN Package 'clmplus' (Tool-Box of Chain Ladder Plus Models)
 Implementation of the age-period-cohort models for the claim development
 presented in the manuscript 'Replicating and extending chain-ladder via an
 age-period-cohort structure on the claim development in a run-off triangle'
 <doi:10.48550/arXiv.2301.03858>.

Package: r-cran-clockify
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anytime, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-logger, r-cran-lubridate, r-cran-purrr, r-cran-rlist, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clockify_0.1.6-1.ca2004.1_all.deb
Size: 296780
MD5sum: ad5ca60af9c051bd6f4e6b2222f677b9
SHA1: ea8cc3f5281ee23206f0db99641e57d04ed262c7
SHA256: e76095efde1521f73955959cc237880b381ad367099a776ab609152c515b16da
SHA512: bfa817f7b6976dbbfe09b3e31b673b63e96347c89dbf9270aedaaa8d801d4e65ae9e8791dd5380c707230416d20ae5f282b8d893e82a3d491415fae80f0e2b3c
Homepage: https://cran.r-project.org/package=clockify
Description: CRAN Package 'clockify' (A Wrapper for the 'Clockify' API)
 A wrapper for the Clockify API <https://docs.clockify.me/>, making it
 possible to query, insert and update time keeping data.

Package: r-cran-clogitlasso
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lassoshooting, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-clogitlasso_1.1-1.ca2004.1_all.deb
Size: 52736
MD5sum: f8e4459ab318a0d62d1d15d0ea14c2f9
SHA1: d3a20c9e1e670473667e513d722052075f8c76db
SHA256: ab588867da2767f98d40379e77c707a10c6acf78105c80a0fd2761396a809a32
SHA512: b18ea4f69f37e84fb3e471281b154d470cc80cd7eb5572479f5e150d445b23758bc51f4e23d9567aecb6004f5d2bad3d264f4ad9665a3d1df8b94d9b8c563c1c
Homepage: https://cran.r-project.org/package=clogitLasso
Description: CRAN Package 'clogitLasso' (Sparse Conditional Logistic Regression for Matched Studies)
 Fit a sequence of conditional logistic regression models with lasso, for
 small to large sized samples. Avalos, M., Pouyes, H., Grandvalet, Y.,
 Orriols, L., & Lagarde, E. (2015) <doi:10.1186/1471-2105-16-S6-S1>.

Package: r-cran-cloneseeker
Architecture: all
Version: 1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-combinat, r-cran-mc2d, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-cloneseeker_1.0.13-1.ca2004.1_all.deb
Size: 464228
MD5sum: 6773003f1eec9760ffafb3a3442f3f89
SHA1: 9e84c02da0d7861b599d5699c2fe493f1ade8858
SHA256: 4104cfa33b63377bd82a2740e91d125a3b9fd381e906f6c7bbd94c72b8409a90
SHA512: c3f46d17ed222b8d7316cc4af85a35e38f15752560f3661c3c1e2a5aca55f61209f4b68b78729f1d50b8de392f4a1ccb9dd0bb9d8cc73a8651db42b9dea979a7
Homepage: https://cran.r-project.org/package=CloneSeeker
Description: CRAN Package 'CloneSeeker' (Seeking and Finding Clones in Copy Number and Sequencing Data)
 Defines the classes and functions used to simulate and to analyze data sets
 describing copy number variants and, optionally, sequencing mutations in
 order to detect clonal subsets.  See Zucker et al. (2019)
 <doi:10.1093/bioinformatics/btz057>.

Package: r-cran-clonetv2
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3517
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sets, r-cran-ggplot2, r-cran-ggrepel, r-cran-arules, r-cran-dbscan
Filename: pool/dists/focal/main/r-cran-clonetv2_2.2.1-1.ca2004.1_all.deb
Size: 2627824
MD5sum: 4e26e3c0e2b364e47f8c3d1b65c96e3e
SHA1: d3b8d27d17a941d7707f95e58ddcee51873b248f
SHA256: a8f0f03505bc2a18883a5fe2a08d737e31b6c693c21bb92120cb8ca919b8c81b
SHA512: 9c197c2e71004628801cb9b07583c780d69862583b0f7b9e2bf6168075f60d339e0ccff90a35cb893c18660c2a77914099394d00c725ff7a8fe83361f8db8849
Homepage: https://cran.r-project.org/package=CLONETv2
Description: CRAN Package 'CLONETv2' (Clonality Estimates in Tumor)
 Analyze data from next-generation sequencing experiments on genomic samples.
 'CLONETv2' offers a set of functions to compute allele specific copy number
 and clonality from segmented data and SNPs position pileup. The package has
 also calculated the clonality of single nucleotide variants given read
 counts at mutated positions. The package has been developed at the
 laboratory of Computational and Functional Oncology, Department of CIBIO,
 University of Trento (Italy), under the supervision of prof Francesca
 Demichelis. References: Prandi et al. (2014)
 <doi:10.1186/s13059-014-0439-6>; Carreira et al. (2014)
 <doi:10.1126/scitranslmed.3009448>; Romanel et al. (2015)
 <doi:10.1126/scitranslmed.aac9511>.

Package: r-cran-clootl
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1455
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-rcurl, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clootl_0.1.1-1.ca2004.1_all.deb
Size: 1452516
MD5sum: bac90c496540a89803c7b68b7f88c59b
SHA1: 1737d3344288f7706f81ef34afa5bae08e63987a
SHA256: dac4ab8544cb783c620d2f9f29a49297941b4b843eaaef4422c7ac0600c774ab
SHA512: d5b476ebf04fb760216d1d2f4a2cfcd1c5bd7985584f61dab181eadb686d24ccac4ca1f17e58ed5c400f4ec5a6e27659ba9837619b7206bb07f7ba520f23d10d
Homepage: https://cran.r-project.org/package=clootl
Description: CRAN Package 'clootl' (Fetch and Explore the Cornell Lab of Ornithology Open Tree ofLife Avian Phylogeny)
 Fetches the Cornell Lab of Ornithology Open Tree of Life (clootl) tree in a
 specified taxonomy. Optionally prune it to a given set of study taxa.
 Provide a recommended citation list for the studies that informed the
 extracted tree. Tree generated as described in McTavish et al. (2024)
 <doi:10.1101/2024.05.20.595017>.

Package: r-cran-clordr
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbivnorm, r-cran-mass, r-cran-rootsolve, r-cran-doparallel, r-cran-foreach, r-cran-tmvmixnorm
Filename: pool/dists/focal/main/r-cran-clordr_1.7.0-1.ca2004.1_all.deb
Size: 69536
MD5sum: bc57222d143534044f46effdb9f50870
SHA1: d677792673cfec903eb03d9d4848ccb999f7ef17
SHA256: 6291c7c499b23cede8a786e9a58dc3446823f1799180b33b804ac901f3e8086d
SHA512: fbf80ffcef31fdae210b05331060789afc21ae3c06476ce9bde9e7478e4a7afccc0fc203355fd5b7dd3d3ff68711d390a7b801481d90b1b9a8d738c20512c3c5
Homepage: https://cran.r-project.org/package=clordr
Description: CRAN Package 'clordr' (Composite Likelihood Inference and Diagnostics for ReplicatedSpatial Ordinal Data)
 Composite likelihood parameter estimate and asymptotic covariance matrix are
 calculated for the spatial ordinal data with replications, where spatial
 ordinal response with covariate and both spatial exponential covariance
 within subject and independent and identically distributed measurement
 error.  Parameter estimation can be performed by either solving the gradient
 function or maximizing composite log-likelihood. Parametric bootstrapping is
 used to estimate the Godambe information matrix and hence the asymptotic
 standard error and covariance matrix with parallel processing option.
 Moreover, the proposed surrogate residual, which extends the results of Liu
 and Zhang (2017) <doi: 10.1080/01621459.2017.1292915>, can act as a useful
 tool for model diagnostics.

Package: r-cran-closeloop
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-combinat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-closeloop_0.1.0-1.ca2004.1_all.deb
Size: 29484
MD5sum: 0f5a5185ce5874847026f418b6d93639
SHA1: d8d60360b0280888c7fa514ba2195797dbc2e9f4
SHA256: 386f468ce8ebb0f7a6e9c14d1a63c745dd89395c3792b3c0734f9aa028c7ab29
SHA512: 649b93d2b5952fd8d41db8fde39c26531ff68f5f4b54e58457574dc2a7593d3d421f5e054cfd9fcfa5ef138798884e5100a93dbf4dce249828aaa041cc4e213d
Homepage: https://cran.r-project.org/package=closeloop
Description: CRAN Package 'closeloop' (Integrate Single-Arm Observational Data in Network Meta Analysis)
 Calculate the distance between single-arm observational studies using
 covariate information to remove heterogeneity in Network Meta-Analysis (NMA)
 of randomized clinical trials. Facilitate the inclusion of observational
 data in NMA, enhancing the comprehensiveness and robustness of comparative
 effectiveness research. Schmitz (2018) <doi:10.1186/s12874-018-0509-7>.

Package: r-cran-cloudfs
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aws.s3, r-cran-googledrive, r-cran-desc, r-cran-dplyr, r-cran-cli, r-cran-rlang, r-cran-glue, r-cran-httr
Suggests: r-cran-googlesheets4, r-cran-haven, r-cran-jsonlite, r-cran-knitr, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-writexl, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-cloudfs_0.1.3-1.ca2004.1_all.deb
Size: 313740
MD5sum: b27738c373d7559adb1717b5ade24c01
SHA1: 22f6ff6d28af0d6d5124de6a2ffa6d8753ed8d44
SHA256: 8ffbc6518ba9557ca89750586e9e0bc53d97073e7c4d917ef3add4c0c8f7882e
SHA512: f959ea66c033b78780a907c16badacfa9ec1e7bf99c3f0638b11118dadeb41cb08c6883add39399de762a70e3b011c78a68c5be79bed172b41c7d9bd3d568725
Homepage: https://cran.r-project.org/package=cloudfs
Description: CRAN Package 'cloudfs' (Streamlined Interface to Interact with Cloud Storage Platforms)
 A unified interface for simplifying cloud storage interactions, including
 uploading, downloading, reading, and writing files, with functions for both
 'Google Drive' (<https://www.google.com/drive/>) and 'Amazon S3'
 (<https://aws.amazon.com/s3/>).

Package: r-cran-cloudml
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tfruns, r-cran-config, r-cran-jsonlite, r-cran-packrat, r-cran-processx, r-cran-rprojroot, r-cran-rstudioapi, r-cran-withr, r-cran-yaml
Suggests: r-cran-tensorflow, r-cran-keras, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cloudml_0.6.1-1.ca2004.1_all.deb
Size: 846952
MD5sum: 25aa164417790a3b1ec58fd6172d5de6
SHA1: 6ab301546cbfa1d2b0d7ddce78fe7fdac6f08c47
SHA256: d3ec4bf9583d57919d17c604ddc71d26735389698ddf4464f594353f4ba0f043
SHA512: 6678dbc4ab294dac6cb80575578053836bb3d44fe859d74533f206ab763676eff25926eabc930303cbc0b69c591e1dc7a5cedf42e32af7835f9406cad9b04d3d
Homepage: https://cran.r-project.org/package=cloudml
Description: CRAN Package 'cloudml' (Interface to the Google Cloud Machine Learning Platform)
 Interface to the Google Cloud Machine Learning Platform
 <https://cloud.google.com/ml-engine>, which provides cloud tools for
 training machine learning models.

Package: r-cran-cloudos
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-rappdirs, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-httptest, r-cran-kableextra, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cloudos_0.4.0-1.ca2004.1_all.deb
Size: 312692
MD5sum: ccc9caf58c54d3e174e2778469658a7f
SHA1: 9d68795b0256df57f465db45b0699d9b4fb86344
SHA256: 26b22aea94317a1bdbc330c6d4a827a5687449208216b3958459c9e2a5b64148
SHA512: e04d5ba97fb4a85f86a3a09a7bd7715f93af9b00bcf48e8f9b13efdd360901ad16ba03e7b946a972bfd0ea754b94ca67987db24d6467e6d8a76c7e70b6d412ec
Homepage: https://cran.r-project.org/package=cloudos
Description: CRAN Package 'cloudos' (R Client Library for CloudOS)
 The 'CloudOS' client library for R makes it easy to interact with CloudOS in
 the R environment for analysis.

Package: r-cran-cloudstor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-cli, r-cran-getpass, r-cran-httr, r-cran-keyring, r-cran-rio, r-cran-xml
Suggests: r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cloudstor_0.2.0-1.ca2004.1_all.deb
Size: 36732
MD5sum: 56e53fd7dcb6f3e348b4af44d1cf2d6e
SHA1: ee22e21cc6505288be9466a93ca4237b7488989f
SHA256: a783cfc01f82d3c5415a8c8080d8f77215a1336dd36638a67cf5840a70fca7c0
SHA512: fd5f883717d29896fa4d3223cec27fb146c7188d1e46d080182605fcab62b0b775aab79b26acdecc74a74a5c3e113ab32d5767aac67d2f2b4c7f3a707ffbb363
Homepage: https://cran.r-project.org/package=cloudstoR
Description: CRAN Package 'cloudstoR' (Simplifies Access to Cloudstor API)
 Access Cloudstor via their WebDAV API. This package can read, write, and
 navigate Cloudstor from R.

Package: r-cran-cloudutil
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cloudutil_0.1.12-1.ca2004.1_all.deb
Size: 313316
MD5sum: ede1b0dd976a0c0c1048d087f1da5301
SHA1: f2f2a1dd5758be6a85ab199d5fbb62b98dfd1651
SHA256: 905c88748981ff7e52110811aa1c30c7b9321e98a568e9be6da521fdd940f1ea
SHA512: 6a6ffc56b83c6d1c5138fc869a3a2fc2954b8cfe43c782bb5dd76a4de88b07b771eb862b903c66eaf0ddb2c32364c0ab3f33797fca3f91667127ea88a8a409ed
Homepage: https://cran.r-project.org/package=cloudUtil
Description: CRAN Package 'cloudUtil' (Cloud Utilization Plots)
 Provides means of plots for comparing utilization data of compute systems.

Package: r-cran-clpm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clpm_1.0-1.ca2004.1_all.deb
Size: 48508
MD5sum: 432ed44e4dfbda05532c768533a53908
SHA1: 2e4bc8d2b9583e3ea65007ef9381673e0b91c016
SHA256: a2a536e72a749caa21183db14e06aa862340ecad98579a36d13142d2a6af0ec9
SHA512: 99f6937d34e7e3a9adfa5d9d03dcacdbb25e38279feb4af6245afc2ef0b09d6d76a4a2041778aafae4c30e7fe2f52d7e4ff00ddf4738d9b325402f611a62c5e1
Homepage: https://cran.r-project.org/package=clpm
Description: CRAN Package 'clpm' (Constrained Estimation of Linear Probability Model)
 Estimation of linear model with predictions inside the (0,1) interval.
 Standard least squares criterion is minimized subjected to a penalty term
 that enforces the constraints. The estimator is suitable for binary
 responses, or any response between 0 and 1.

Package: r-cran-clptheory
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-popdemo, r-cran-car, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clptheory_0.1.0-1.ca2004.1_all.deb
Size: 1176280
MD5sum: 8070b10cff6b838e301d8742f6e649d4
SHA1: 525d9666090c2d85f6480c30c04885be2a64cf73
SHA256: 850d21c72ddf00e99694e9a8253481fbc33b4d36a021fca0304da1f7c28bed98
SHA512: c6dbdac6b0dab70b20993a3eb322256c865b0c593c8fc1f433ce3d41accacbfb44e74327aff48a454416434aca880cc3c7f6349855bba107a7c9a7245ee46b40
Homepage: https://cran.r-project.org/package=clptheory
Description: CRAN Package 'clptheory' (Compute Price of Production and Labor Values)
 Computes the uniform rate of profit, the vector of price of production and
 the vector of labor values; and also compute measures of deviation between
 relative prices of production and relative values.
 <https://scholarworks.umass.edu/econ_workingpaper/347/>. You provide the
 input-output data and 'clptheory' does the calculations for you.

Package: r-cran-clr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1497
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-lubridate, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-clr_0.1.2-1.ca2004.1_all.deb
Size: 1323672
MD5sum: 3c79beb572d58266dcd3ed38144dfbfd
SHA1: 6dafb742658a62cc2e2bae4139dbce1444d8d04f
SHA256: 11cd9b5e09edb8579321a445feeaaca7a3b816c8292800345013dc421f5b1b87
SHA512: 1261bc29940be1f7487dbe168cb4294863d94406fea6059d6ed0cc5a22bae31b52dc2ea602db43d0abf9920ce223fc01a42a3495f107d26103cce02587225f5b
Homepage: https://cran.r-project.org/package=clr
Description: CRAN Package 'clr' (Curve Linear Regression via Dimension Reduction)
 A new methodology for linear regression with both curve response and curve
 regressors, which is described in Cho, Goude, Brossat and Yao (2013)
 <doi:10.1080/01621459.2012.722900> and (2015)
 <doi:10.1007/978-3-319-18732-7_3>. The key idea behind this methodology is
 dimension reduction based on a singular value decomposition in a Hilbert
 space, which reduces the curve regression problem to several scalar linear
 regression problems.

Package: r-cran-clsiep15
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clsiep15_0.1.0-1.ca2004.1_all.deb
Size: 64892
MD5sum: 383d0699b4bdf21dd8ba9808f6bd02d6
SHA1: 6a1ea156fa4f25bdfd3c890c2108d626b7e0f303
SHA256: 42f9258e0ea459ddba82596f9453f5ab99b9b6a621e1647c8a2281f69f354afa
SHA512: 3defe4b465925f5f0b552bebfe09f5e9019ebe2f2a031ae40ce794dd0cf3d9cac39e6a55c014c23f88336a0529c18eaf02a54fc8b1dd50d24c89767ad13e202d
Homepage: https://cran.r-project.org/package=CLSIEP15
Description: CRAN Package 'CLSIEP15' (Clinical and Laboratory Standards Institute (CLSI) EP15-A3Calculations)
 Calculations of "EP15-A3 document. A manual for user verification of
 precision and estimation of bias" CLSI (2014, ISBN:1-56238-966-1).

Package: r-cran-clttools
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clttools_1.3-1.ca2004.1_all.deb
Size: 91636
MD5sum: d51d1ca49d1313127b5875d1e7f7047c
SHA1: 725f83c1780a12d10e565f5c3e56978fbda8c726
SHA256: a7d833693260cbc419abfffbcc4564a31c0b73df2d743fb8724526afa5dbe021
SHA512: 52db7b1dcd3cd770be94d26def4b776a0af45acd15d9b7be37e9b60d79e7eb3bae504c5683db6e3afe11ca5de3b65cab6a895fd1c9d05ede1dccfa405f5e273e
Homepage: https://cran.r-project.org/package=clttools
Description: CRAN Package 'clttools' (Central Limit Theorem Experiments (Theoretical and Simulation))
 Central limit theorem experiments presented by data frames or plots.
 Functions include generating theoretical sample space, corresponding
 probability, and simulated results as well.

Package: r-cran-clubsandwich
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 806
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sandwich, r-cran-lifecycle
Suggests: r-cran-formula, r-cran-knitr, r-cran-cardata, r-cran-geepack, r-cran-metafor, r-cran-metadat, r-cran-robumeta, r-cran-nlme, r-cran-mlmrev, r-cran-aer, r-cran-plm, r-cran-matrix, r-cran-lme4, r-cran-zoo, r-cran-testthat, r-cran-rmarkdown, r-cran-covr, r-cran-ivreg
Filename: pool/dists/focal/main/r-cran-clubsandwich_0.6.0-1.ca2004.1_all.deb
Size: 596072
MD5sum: 3545465b0281e95a9315dd9bb8e85cc8
SHA1: 4b53b5fef1c6a475698a3f84beb1a8b98f68f87e
SHA256: a5a0fdaf7c2107207ea234ac85f19c57d2e34a8ebf462246c04fb346b1e8008f
SHA512: b88d2947123b04766f94af44a7265cff1703078e75d4371dcff0af265d93e40629e2ecea5ab2240172ff2e6b8436e8661fb92cd6eae7dc3ead7bc0e59a323947
Homepage: https://cran.r-project.org/package=clubSandwich
Description: CRAN Package 'clubSandwich' (Cluster-Robust (Sandwich) Variance Estimators with Small-SampleCorrections)
 Provides several cluster-robust variance estimators (i.e., sandwich
 estimators) for ordinary and weighted least squares linear regression
 models, including the bias-reduced linearization estimator introduced by
 Bell and McCaffrey (2002)
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2002002/article/9058-eng.pdf>
 and developed further by Pustejovsky and Tipton (2017)
 <DOI:10.1080/07350015.2016.1247004>. The package includes functions for
 estimating the variance- covariance matrix and for testing single- and
 multiple- contrast hypotheses based on Wald test statistics. Tests of single
 regression coefficients use Satterthwaite or saddle-point corrections. Tests
 of multiple- contrast hypotheses use an approximation to Hotelling's
 T-squared distribution.  Methods are provided for a variety of fitted
 models, including lm() and mlm objects, glm(), geeglm() (from package
 'geepack'), ivreg() (from package 'AER'), ivreg() (from package 'ivreg' when
 estimated by ordinary least squares), plm() (from package 'plm'), gls() and
 lme() (from 'nlme'), lmer() (from `lme4`), robu() (from 'robumeta'), and
 rma.uni() and rma.mv() (from 'metafor').

Package: r-cran-cluer
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3288
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-cluer_1.4.2-1.ca2004.1_all.deb
Size: 3333260
MD5sum: 6331c924a5fa7033692039d4e13ce19d
SHA1: 903e2a5d873dc1ad14b9cd23ad045cfa28cd29f6
SHA256: c6482378d2847a25a04e38c7c86ec619d8eb9115e496327e1cf0c4b6361686ea
SHA512: c3242be548a02899d315367ce318c48894ac6ffb4c32d9cae93f9c9c69ae3c18d30b102876624b2aa8277ba27e13886df88c2e010deb31f2665a52b804a5b011
Homepage: https://cran.r-project.org/package=ClueR
Description: CRAN Package 'ClueR' (Cluster Evaluation)
 CLUster Evaluation (CLUE) is a computational method for identifying optimal
 number of clusters in a given time-course dataset clustered by cmeans or
 kmeans algorithms and subsequently identify key kinases or pathways from
 each cluster. Its implementation in R is called ClueR.  See README on
 <https://github.com/PYangLab/ClueR> for more details.  P Yang et al. (2015)
 <doi:10.1371/journal.pcbi.1004403>.

Package: r-cran-clugenr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4686
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mathjaxr
Suggests: r-cran-crul, r-cran-devtools, r-cran-ggplot2, r-cran-knitr, r-cran-lintr, r-cran-patchwork, r-cran-prettydoc, r-cran-rgl, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clugenr_1.0.3-1.ca2004.1_all.deb
Size: 2020448
MD5sum: 5fae83ec2dc4edb310f8eef1e826a48f
SHA1: 30a95812bfac6a71dc2afd54cb3ba10dac07d414
SHA256: bccb3f7486dcac7e4413394ad972ff12a78a36a0e8d35fbd507e745a737dc298
SHA512: e89685203d3bc4e2187c473eb960dfcf6d73078a5fe2e3c67c3e0ec12fb1c2d55ff4bf7cc0a56d61de3ca62bf68d51a2f35b26951fdfa78c1dcaa6249a9264ea
Homepage: https://cran.r-project.org/package=clugenr
Description: CRAN Package 'clugenr' (Multidimensional Cluster Generation Using Support Lines)
 An implementation of the clugen algorithm for generating multidimensional
 clusters with arbitrary distributions. Each cluster is supported by a line
 segment, the position, orientation and length of which guide where the
 respective points are placed. This package is described in Fachada & de
 Andrade (2023) <doi:10.1016/j.knosys.2023.110836>.

Package: r-cran-clump
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-dplyr, r-cran-nbclust, r-cran-amap, r-cran-tableone, r-cran-data.table, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clump_0.8.1-1.ca2004.1_all.deb
Size: 93804
MD5sum: c4854a6656622580177a3e695f346229
SHA1: 92fbcf6e876e2116a614aa08828711710864ca10
SHA256: 4dccb446c1cd55ec2e5d8b6f643554e9c57bd66cf89153a991c0e83bc906f439
SHA512: bcff261b4fa22bebb0b961e14abde8737e486cacace8b94d2a5c8d2581c10aa654cd25e9f7131eaec4c98adc038caa458cb7d7f478ead3e9e191c2ac76c2739b
Homepage: https://cran.r-project.org/package=CluMP
Description: CRAN Package 'CluMP' (Clustering of Micro Panel Data)
 Two-step feature-based clustering method designed for micro panel
 (longitudinal) data with the artificial panel data generator. See Sobisek,
 Stachova, Fojtik (2018) <arXiv:1807.05926>.

Package: r-cran-clusboot
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-fpc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clusboot_1.2.2-1.ca2004.1_all.deb
Size: 52216
MD5sum: 3c5ef0f9cf084a7763a165d89eba740e
SHA1: 9ee48eb53dc691d8b144e16d03cc037a5534c2ff
SHA256: 9bd192934f86809d108cc3d0d57fa480b472ccdf417de2e67be008f316e0d049
SHA512: 699e419ff6c30435bfc28dc23ff704df4ab5a99a61048ee26953784fa5e91e9ffcd4f304ab36b6397e991c5746a6b6aa13a89833c63ac6f709ba882db0bf6a88
Homepage: https://cran.r-project.org/package=ClusBoot
Description: CRAN Package 'ClusBoot' (Bootstrap a Clustering Solution to Establish the Stability ofthe Clusters)
 Providing a cluster allocation for n samples, either with an $n \times p$
 data matrix or an $n \times n$ distance matrix, a bootstrap procedure is
 performed. The proportion of bootstrap replicates where a pair of samples
 cluster in the same cluster indicates who tightly the samples in a
 particular cluster clusters together.

Package: r-cran-clusevol
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1932
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-cluster, r-cran-fpc, r-cran-viridis, r-cran-clustersim, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-clusevol_1.0.0-1.ca2004.1_all.deb
Size: 1936180
MD5sum: 7d358c3347cfec224ae1190b9e5e0e76
SHA1: 92339b6b826678ffd2044927914a3d0056982968
SHA256: 4d9a1356a69486da52a60384145e45629833d50a5f5b0c8d9a909da11a9c2f3c
SHA512: 5154e4b19794d3298f9d2b77c28069627308d3e2707dd8b14245c797921cf934ef7cb5628408b0c2af628de40cab7f388fcee39674d127acb1304304ae61270b
Homepage: https://cran.r-project.org/package=clusEvol
Description: CRAN Package 'clusEvol' (A Procedure for Cluster Evolution Analytics)
 Cluster Evolution Analytics allows us to use exploratory what if questions
 in the sense that the present information of an object is plugged-in a
 dataset in a previous time frame so that we can explore its evolution (and
 of its neighbors) to the present. See the URL for the papers associated with
 this package, as for instance, Morales-Oñate and Morales-Oñate (2024)
 <https://mpra.ub.uni-muenchen.de/120220>.

Package: r-cran-clusscluster
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-venndiagram, r-cran-scales, r-cran-reshape2, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clusscluster_0.1.0-1.ca2004.1_all.deb
Size: 209460
MD5sum: 3a175778d81612ff6b39a1c172aebf24
SHA1: 472f7af26650dbe64a821d85177b998afc1f37e5
SHA256: 282588c1de790d8da6fa202dbdabddd12e3586049e7c843e48590e103bf7edbe
SHA512: ceb093bb45a9a984494decf6e1a8819f07d33d910b4452d5c5f8235bc6ca9e125c50c730ed7b1dc9043f27967f19b94c461da48eaa744308f839e26ef5935a64
Homepage: https://cran.r-project.org/package=ClussCluster
Description: CRAN Package 'ClussCluster' (Simultaneous Detection of Clusters and Cluster-Specific Genes inHigh-Throughput Transcriptome Data)
 Implements a new method 'ClussCluster' descried in Ge Jiang and Jun Li,
 "Simultaneous Detection of Clusters and Cluster-Specific Genes in
 High-throughput Transcriptome Data" (Unpublished).  Simultaneously perform
 clustering analysis and signature gene selection on high-dimensional
 transcriptome data sets.  To do so, 'ClussCluster' incorporates a Lasso-type
 regularization penalty term to the objective function of K- means so that
 cell-type-specific signature genes can be identified while clustering the
 cells.

Package: r-cran-clust.bin.pair
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clust.bin.pair_0.1.2-1.ca2004.1_all.deb
Size: 34424
MD5sum: 1e2531c9cf0b32d1c161ed9eb847e64a
SHA1: 06fe2e9b70ec0f598667271d3ad432ce3420079f
SHA256: 9a95d1afbd872c3a61553ab605c456ea908069a86d2f7581d91c3c7929a3dc5c
SHA512: 20fe5f6482873edbe855741a1ce848315dd0df1efb731447880a9676658e3527936d7934bd1a0c307036847179bbc43ab185e8bf56db4bbc67c7bc2d7fc60579
Homepage: https://cran.r-project.org/package=clust.bin.pair
Description: CRAN Package 'clust.bin.pair' (Statistical Methods for Analyzing Clustered Matched Pair Data)
 Tests, utilities, and case studies for analyzing significance in clustered
 binary matched-pair data. The central function clust.bin.pair uses one of
 several tests to calculate a Chi-square statistic. Implemented are the tests
 Eliasziw (1991) <doi:10.1002/sim.4780101211>, Obuchowski (1998)
 <doi:10.1002/(SICI)1097-0258(19980715)17:13%3C1495::AID-SIM863%3E3.0.CO;2-I>,
 Durkalski (2003) <doi:10.1002/sim.1438>, and Yang (2010)
 <doi:10.1002/bimj.201000035> with McNemar (1947) <doi:10.1007/BF02295996>
 included for comparison. The utility functions nested.to.contingency and
 paired.to.contingency convert data between various useful formats. Thyroids
 and psychiatry are the canonical datasets from Obuchowski and Petryshen
 (1989) <doi:10.1016/0165-1781(89)90196-0> respectively.

Package: r-cran-clustblock
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-factominer
Suggests: r-cran-clustvarlv
Filename: pool/dists/focal/main/r-cran-clustblock_4.1.1-1.ca2004.1_all.deb
Size: 343844
MD5sum: 0697e10c3aacd00939f6bdeadeaaf0a8
SHA1: 2b1610bdbd1789280277ea9f98eecd4ffe6a8e0f
SHA256: c10c07059dc5e0fbdf1ae8cde72cead54873005d31aef534aa50f15dedf906b9
SHA512: ba2725ec4df8c968bef1fc30a8db8fc590bab392697554425c3d96ee22dfd7d00385208856e6be18192f3fa33d89c190d41a98234a7eacef421eb489226d0245
Homepage: https://cran.r-project.org/package=ClustBlock
Description: CRAN Package 'ClustBlock' (Clustering of Datasets)
 Hierarchical and partitioning algorithms to cluster blocks of variables. The
 partitioning algorithm includes an option called noise cluster to set aside
 atypical blocks of variables. Different thresholds per cluster can be sets.
 The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau,
 Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell,
 Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the
 CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau,
 Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell,
 Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>)
 are the core of this package. The CATATIS methods allows to compute some
 indices and tests to control the quality of CATA data. Multivariate analysis
 and clustering of subjects for quantitative multiblock data, CATA, RATA,
 Free Sorting and JAR experiments are available. Clustering of rows in
 multi-block context (notably with ClusMB strategy) is also included.

Package: r-cran-clustcr2
Architecture: all
Version: 1.7.3.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-ggplot2, r-cran-ggseqlogo, r-cran-network, r-cran-plyr, r-cran-rcolorbrewer, r-cran-stringr, r-cran-scales, r-cran-sna, r-cran-vlf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustcr2_1.7.3.01-1.ca2004.1_all.deb
Size: 253504
MD5sum: c9bff621fb66083d74a06472f08490b8
SHA1: 2985f7ff40f9f7a8752c61c0a42b07a4be4957a7
SHA256: ad1f6922301d572405406b2f1a836d56c012e48c8c64defd8e8008667c009867
SHA512: ef0eb66dfba115320ee6421535d94eaa1cb4be7622e4b07567413c9ee4ea06a6a3b01e5b61b6a1cd60a4aded060eccee0b22216e645c8f2da4b420c691dd69cd
Homepage: https://cran.r-project.org/package=ClusTCR2
Description: CRAN Package 'ClusTCR2' (Identifying Similar T Cell Receptor Hyper-Variable Sequenceswith 'ClusTCR2')
 Enhancing T cell receptor (TCR) sequence analysis, 'ClusTCR2', based on
 'ClusTCR' python program, leverages Hamming distance to compare the
 complement-determining region three (CDR3) sequences for sequence
 similarity, variable gene (V gene) and length. The second step employs the
 Markov Cluster Algorithm to identify clusters within an undirected graph,
 providing a summary of amino acid motifs and matrix for generating network
 plots. Tailored for single-cell RNA-seq data with integrated TCR-seq
 information, 'ClusTCR2' is integrated into the Single Cell TCR and
 Expression Grouped Ontologies (STEGO) R application or 'STEGO.R'. See the
 two publications for more details. Sebastiaan Valkiers, Max Van Houcke, Kris
 Laukens, Pieter Meysman (2021) <doi:10.1093/bioinformatics/btab446>, Kerry
 A. Mullan, My Ha, Sebastiaan Valkiers, Nicky de Vrij, Benson Ogunjimi, Kris
 Laukens, Pieter Meysman (2023) <doi:10.1101/2023.09.27.559702>.

Package: r-cran-clustcurv
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4387
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-ggfortify, r-cran-ggplot2, r-cran-gmedian, r-cran-npregfast, r-cran-rcolorbrewer, r-cran-survival
Suggests: r-cran-covr, r-cran-knitr, r-cran-plotly, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustcurv_2.0.2-1.ca2004.1_all.deb
Size: 1019516
MD5sum: f0d0c26884ff0acb87e67ee07fba96c1
SHA1: 0aae525763c4eae8a62863a239953e7c8314dbb5
SHA256: e8976821f34820c8e544da5ae68317166a3619afb1a14ff970aca63883c6797d
SHA512: d63a2ef05b246b92ec27a8b163cd545f5ac8c6546f60b226dc2ae01d1751be54f96856689076b39417494b3e7b1261f9126e3da2392355148ca557e83b12a94c
Homepage: https://cran.r-project.org/package=clustcurv
Description: CRAN Package 'clustcurv' (Determining Groups in Multiples Curves)
 A method for determining groups in multiple curves with an automatic
 selection of their number based on k-means or k-medians algorithms. The
 selection of the optimal number is provided by bootstrap methods. The
 methodology can be applied both in regression and survival framework.
 Implemented methods are: Grouping multiple survival curves described by
 Villanueva et al. (2018) <doi:10.1002/sim.8016>.

Package: r-cran-clustdrm
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-caret, r-cran-orcme, r-cran-oriclust, r-cran-multcomp, r-cran-isogene, r-cran-dosefinding, r-cran-pheatmap, r-cran-shiny, r-cran-readr, r-cran-dt, r-cran-mcpmod, r-cran-rcolorbrewer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustdrm_0.1-0-1.ca2004.1_all.deb
Size: 422880
MD5sum: 18ac914fa14a5fbee82de8dacbee36fb
SHA1: 5f2e7852b8409a54aa7b493060f68d0e503e9ea8
SHA256: 69a7b0ee8047125174397bffc64bf782cd36ca14fcf9bd59ee895b0bd040d3b6
SHA512: b94965a3cb52440060f89a259c7991460a09e76a32dbe5e7c56f99d7b90129aebbff0f049420558dd9bf811432907ebc20b4e465cd4c7bfed3fb07dd444f3a73
Homepage: https://cran.r-project.org/package=clustDRM
Description: CRAN Package 'clustDRM' (Clustering Dose-Response Curves and Fitting Appropriate Modelsto Them)
 Functions to identify the pattern of a dose-response curve. Then fit a set
 of appropriate models to it according to the identified pattern, followed by
 model averaging to estimate the effective dose.

Package: r-cran-clusteff
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-qrcm, r-cran-cluster, r-cran-fda, r-cran-ggpubr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-clusteff_0.3.1-1.ca2004.1_all.deb
Size: 115772
MD5sum: ae1a54dcfadb0a6198a91c3c02b8c400
SHA1: 5f18da61399326adabde5a5df21fceb79b986cc8
SHA256: 3f0d42c6224c198b6352bd1b62264c53f8e3de3aac41db7a6fa63b46ee481cb5
SHA512: 4a365e0181ac037ac42393edfa0f803f8ff71ff9ae5236f8570da2c5429e59bffb9fea50b32f62dd5df1bdd6d57dfaee2e0070a61e9e0ef0182411bfdfeb8d21
Homepage: https://cran.r-project.org/package=clustEff
Description: CRAN Package 'clustEff' (Clusters of Effects Curves in Quantile Regression Models)
 Clustering method to cluster both effects curves, through quantile
 regression coefficient modeling, and curves in functional data analysis.
 Sottile G. and Adelfio G. (2019) <doi:10.1007/s00180-018-0817-8>.

Package: r-cran-cluster.datasets
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cluster.datasets_1.0-1-1.ca2004.1_all.deb
Size: 204936
MD5sum: 6010d7131639a720effd3b178222ac07
SHA1: bde03b21a7da93f2dbca2d516997b9b7b0238511
SHA256: 06d784fe71925a1ac8da7ce97eab3ceea4ce16cdd9514d9c6b3aae9ad62b54cc
SHA512: 98848133ebb5cc8ac72d750f2a2babe50d80a1646897c40d4b4a0632f2a7880a03da6d52d908900897ce108177478ed93b0d98018046b147a616cef5f4c0b60e
Homepage: https://cran.r-project.org/package=cluster.datasets
Description: CRAN Package 'cluster.datasets' (Cluster Analysis Data Sets)
 A collection of data sets for teaching cluster analysis.

Package: r-cran-cluster.obeu
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-cluster, r-cran-clvalid, r-cran-data.tree, r-cran-dendextend, r-cran-jsonlite, r-cran-mclust, r-cran-rcurl, r-cran-reshape, r-cran-reshape2, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cluster.obeu_1.2.3-1.ca2004.1_all.deb
Size: 63704
MD5sum: b5c1e0f06d90330ea1e86707b03df99e
SHA1: b79cf290bedbd96488bcc7d56472d7446dd47e25
SHA256: cdca196440178c09095a099f19158e070393a8f7424c95fb4bc9e0e94257770b
SHA512: 2a85831db68323f4dbedc1fcca9a75ac56578c97ab9b6cdb009f8da92fb48b12715e599ce3a55f0bd15d432cf3e85843d48aec95772afce9792fd21a2231404d
Homepage: https://cran.r-project.org/package=Cluster.OBeu
Description: CRAN Package 'Cluster.OBeu' (Cluster Analysis 'OpenBudgets.eu')
 Estimate and return the needed parameters for visualisations designed for
 'OpenBudgets' <http://openbudgets.eu/> data. Calculate cluster analysis
 measures in Budget data of municipalities across Europe, according to the
 'OpenBudgets' data model. It involves a set of techniques and algorithms
 used to find and divide the data into groups of similar observations. Also,
 can be used generally to extract visualisation parameters convert them to
 'JSON' format and use them as input in a different graphical interface.

Package: r-cran-clusterability
Architecture: all
Version: 0.1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diptest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clusterability_0.1.1.0-1.ca2004.1_all.deb
Size: 79884
MD5sum: 9e411daee8b107e19553e47a8a1cc8a9
SHA1: 946f96bdf32837ba5318868d6a2ded11cc15c0a7
SHA256: a10065ff428bcb5d26828fe4d56c147fc5c28d246d60cc68581db0f489efa077
SHA512: d62084ac13e486ef50f19fa09d0bf99f84f86d5023709fdf0f44ffdea34db2a58a620171ecf5555b734f4ffb9b6fa7a7f599d22679ed89c0b0d395c9302087a8
Homepage: https://cran.r-project.org/package=clusterability
Description: CRAN Package 'clusterability' (Performs Tests for Cluster Tendency of a Data Set)
 Test for cluster tendency (clusterability) of a data set.  The methods
 implemented - reducing the data set to a single dimension using principal
 component analysis or computing pairwise distances, and performing a
 multimodality test like the Dip Test or Silverman's Critical Bandwidth Test
 - are described in Adolfsson, Ackerman, and Brownstein (2019)
 <doi:10.1016/j.patcog.2018.10.026>. Such methods can inform whether
 clustering algorithms are appropriate for a data set.

Package: r-cran-clusterbootstrap
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-clusterbootstrap_1.1.2-1.ca2004.1_all.deb
Size: 82164
MD5sum: 21d4a405e7b159eca9570c3a8bbe4f1b
SHA1: 19476eacc5aec9f2017a1066a6a973ef5dc5d7d1
SHA256: a069d2205b368582b8ad442558ab96110400dc454f211b2750b621f9e6ed1b8e
SHA512: 843ffcb75c138c7864054b7bdc6118c9de1904a3dba2b897f060b2e6d2d247904f141e3dd9479ab1c557661b9b4e27484b8551dbf9476efe18710972b6418538
Homepage: https://cran.r-project.org/package=ClusterBootstrap
Description: CRAN Package 'ClusterBootstrap' (Analyze Clustered Data with Generalized Linear Models using theCluster Bootstrap)
 Provides functionality for the analysis of clustered data using the cluster
 bootstrap.

Package: r-cran-clustercons
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-lattice, r-cran-rcolorbrewer, r-cran-apcluster
Suggests: r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-clustercons_1.2-1.ca2004.1_all.deb
Size: 266428
MD5sum: fc387ed62d9b4d80d201b6f1d061cc4c
SHA1: b593db5a36a3e233c674e47da88e2c3e5073ecb5
SHA256: 5c9dab9e509848a5d9341acd9bf66b30c610dd6679d708d04f0802293243e7e3
SHA512: 980cff74ca582453802a0e9745a6bde108a4171cbe606f39b38f3da12f0c6d623d06978a2fe2e8d47cd05d1694078df16d5b9091ed632cf5f282ed4fe851dd15
Homepage: https://cran.r-project.org/package=clusterCons
Description: CRAN Package 'clusterCons' (Consensus Clustering using Multiple Algorithms and Parameters)
 Functions for calculation of robustness measures for clusters and cluster
 membership based on generating consensus matrices from bootstrapped
 clustering experiments in which a random proportion of rows of the data set
 are used in each individual clustering. This allows the user to prioritise
 clusters and the members of clusters based on their consistency in this
 regime. The functions allow the user to select several algorithms to use in
 the re-sampling scheme and with any of the parameters that the algorithm
 would normally take. See Simpson, T. I., Armstrong, J. D. & Jarman, A. P.
 (2010) <doi:10.1186/1471-2105-11-590> and Monti, S., Tamayo, P., Mesirov, J.
 & Golub, T. (2003) <doi:10.1023/a:1023949509487>.

Package: r-cran-clusteredinterference
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-cubature, r-cran-lme4, r-cran-numderiv, r-cran-rootsolve
Suggests: r-cran-testthat, r-cran-rprojroot, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-clusteredinterference_1.0.1-1.ca2004.1_all.deb
Size: 146276
MD5sum: fcd461a085aec65e40eb3620f256ea29
SHA1: d593feee8a3b72f6748ea0ddcd345dfa4358c6bd
SHA256: cdb6aad9356af7f831ea87d0a1a58fa0b86a1a76663f62d2f82fa854aa49817e
SHA512: ac0e5ab3d2547776062b9b39c7d2490d452544c953dd901eda4cc4260f7dd5237889d5a8943e4c4a661f7d55cf7b9f30ee4d6721572365bcc0b574bbe6c22c37
Homepage: https://cran.r-project.org/package=clusteredinterference
Description: CRAN Package 'clusteredinterference' (Causal Effects from Observational Studies with ClusteredInterference)
 Estimating causal effects from observational studies assuming clustered (or
 partial) interference. These inverse probability-weighted estimators target
 new estimands arising from population-level treatment policies. The
 estimands and estimators are introduced in Barkley et al.  (2017)
 <arXiv:1711.04834>.

Package: r-cran-clusteredmutations
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seriation
Filename: pool/dists/focal/main/r-cran-clusteredmutations_1.0.1-1.ca2004.1_all.deb
Size: 1013848
MD5sum: 5f29217fa8c60d7bbe3aa3069e439e9d
SHA1: 0ff758e5989bf4241593a73dd98ab1f09d7a0468
SHA256: ac7238873653e7349f13829a63b309c108c0ca339525559bb08a0939797abd60
SHA512: 66a7cd57da6cfd1d0ecafaaa1991452f74ac4320543132ca0d23c226c8a0f8e270ffa4d7d3c03ad99544ed84a5bd055774727fe0b6ef04ff33a2ea01396cc862
Homepage: https://cran.r-project.org/package=ClusteredMutations
Description: CRAN Package 'ClusteredMutations' (Location and Visualization of Clustered Somatic Mutations)
 Identification and visualization of groups of closely spaced mutations in
 the DNA sequence of cancer genome. The extremely mutated zones are searched
 in the symmetric dissimilarity matrix using the anti-Robinson matrix
 properties. Different data sets are obtained to describe and plot the
 clustered mutations information.

Package: r-cran-clustergeneration
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-clustergeneration_1.3.8-1.ca2004.1_all.deb
Size: 266784
MD5sum: 56b34da8b5afd83b60da24f1566b555f
SHA1: a79ab40908c2a060b334f7a51c0ab32d17d4d1ea
SHA256: 39951f39248da23e46bac0121582b0fc2cd91f9d64069f11bd115c70b6c0047e
SHA512: f17402e17b2924925b74fe64dcbf729e787c2ad983dc29095aaa2dd9831e55036247fc8ce62c4dd7850c641a7577be53fa0b7178cf8fc60dec47d1269234a0d8
Homepage: https://cran.r-project.org/package=clusterGeneration
Description: CRAN Package 'clusterGeneration' (Random Cluster Generation (with Specified Degree of Separation))
 We developed the clusterGeneration package to provide functions for
 generating random clusters, generating random covariance/correlation
 matrices, calculating a separation index (data and population version) for
 pairs of clusters or cluster distributions, and 1-D and 2-D projection plots
 to visualize clusters.  The package also contains a function to generate
 random clusters based on factorial designs with factors such as degree of
 separation, number of clusters, number of variables, number of noisy
 variables.

Package: r-cran-clustergenomics
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clustergenomics_1.0-1.ca2004.1_all.deb
Size: 148084
MD5sum: 63b6d67b43d2b5eab69ab45e2e286671
SHA1: 2399ea5046920bd0880c90b647b514fcc6ffff99
SHA256: 28a0de81111c4516f5bbc08f700f75e31176705d347c0ff9785344cde526a1aa
SHA512: 2e2e0d2c73c762c0cc9fb8a88d4b306499d02ba1dad27114cfebe31632c93aecc6376bae9648a0abca96126a89c38fcdb5ac0b1b607b0e8e0f959b4fe265cd68
Homepage: https://cran.r-project.org/package=clusterGenomics
Description: CRAN Package 'clusterGenomics' (Identifying clusters in genomics data by recursive partitioning)
 The Partitioning Algorithm based on Recursive Thresholding (PART) is used to
 recursively uncover clusters and subclusters in the data. Functionality is
 also available for visualization of the clustering.

Package: r-cran-clustergvis
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 897
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biobase, r-cran-circlize, r-bioc-clusterprofiler, r-cran-colorramps, r-bioc-complexheatmap, r-cran-dplyr, r-cran-e1071, r-cran-factoextra, r-cran-ggplot2, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-biocmanager, r-cran-reshape2, r-cran-scales, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-tcseq, r-cran-tibble
Suggests: r-cran-igraph, r-cran-knitr, r-bioc-monocle, r-cran-pheatmap, r-cran-rmarkdown, r-cran-seurat, r-cran-wgcna
Filename: pool/dists/focal/main/r-cran-clustergvis_0.1.3-1.ca2004.1_all.deb
Size: 868848
MD5sum: 15d069f853f5de2d065e65a94425dc00
SHA1: 9379c64b4f84fa70156a9e895862bc089f8385b5
SHA256: d40a8920ed18c8cc9d7370a7a68e3791e6c4be9907be4f8f9449faec78b48b43
SHA512: 5c0e791c774c63d7a856aba10a03448b6644c2853f5c23a156764b195e901c88e71d1a2a175c4b458a0fa44e8764e1d52e700cbcce0ac6818d28e597af841e32
Homepage: https://cran.r-project.org/package=ClusterGVis
Description: CRAN Package 'ClusterGVis' (One-Step to Cluster and Visualize Gene Expression Data)
 Streamlining the clustering and visualization of time-series gene expression
 data from RNA-Seq experiments, this tool supports fuzzy c-means and k-means
 clustering algorithms. It is compatible with outputs from widely-used
 packages such as 'Seurat', 'Monocle', and 'WGCNA', enabling seamless
 downstream visualization and analysis. See Lokesh Kumar and Matthias E
 Futschik (2007) <doi:10.6026/97320630002005> for more details.

Package: r-cran-clusterhap
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clusterhap_0.1-1.ca2004.1_all.deb
Size: 46132
MD5sum: 798af509022556aa6b73408dc4f19772
SHA1: c8a8602ca2ee1e9149e0b08dbab892a3163a9594
SHA256: d412513155e44a2184d5306b734122284e6c6d30ea5336a93a887473f0a7bf86
SHA512: c86d1b5dc0ef0270705c47ed044297f50351021f6bf311e27167117d333c2e811a426675a67bf9af9e360ef377c06f90368fe5365368afc37536f7c9951d8e43
Homepage: https://cran.r-project.org/package=clusterhap
Description: CRAN Package 'clusterhap' (Clustering Genotypes in Haplotypes)
 One haplotype is a combination of SNP (Single Nucleotide Polymorphisms)
 within the QTL (Quantitative Trait Loci).  clusterhap groups together all
 individuals of a population with the same haplotype.  Each group contains
 individual with the same allele in each SNP, whether or not missing data.
 Thus, clusterhap groups individuals, that to be imputed, have a non-zero
 probability of having the same alleles in the entire sequence of SNP's.
 Moreover, clusterhap calculates such probability from relative frequencies.

Package: r-cran-clustering
Architecture: all
Version: 1.7.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 493
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-amap, r-cran-apcluster, r-cran-cluster, r-cran-clusterr, r-cran-data.table, r-cran-dplyr, r-cran-foreach, r-cran-future, r-cran-ggplot2, r-cran-gmp, r-cran-pracma, r-cran-pvclust, r-cran-shiny, r-cran-sqldf, r-cran-xtable, r-cran-toordinal
Suggests: r-cran-dt, r-cran-shinyalert, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-tidyverse, r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-clustering_1.7.10-1.ca2004.1_all.deb
Size: 387348
MD5sum: a5c70028623316b3a6cad67db13c8650
SHA1: f4dd5cb507baaaa86530ead903b6b633e7b68638
SHA256: 5f7ce13ecd77c8ee9324d14396b148a2fc3adf886f9fd72f7e7b023a6bafea39
SHA512: 5a45da63bcf590c17b4fdfef71d7c96c89433ce9295c6d68262c457880422946f873b3246ca81d33c512609cd6ebf0100a67168a92321a1b1b9f97fa41fbb3d0
Homepage: https://cran.r-project.org/package=Clustering
Description: CRAN Package 'Clustering' (Techniques for Evaluating Clustering)
 The design of this package allows us to run different clustering packages
 and compare the results between them, to determine which algorithm behaves
 best from the data provided. See Martos, L.A.P., García-Vico, Á.M.,
 González, P. et al.(2023) <doi:10.1007/s13748-022-00294-2> "Clustering: an R
 library to facilitate the analysis and comparison of cluster algorithms.",
 Martos, L.A.P., García-Vico, Á.M., González, P. et al. "A Multiclustering
 Evolutionary Hyperrectangle-Based Algorithm"
 <doi:10.1007/s44196-023-00341-3> and L.A.P., García-Vico, Á.M., González, P.
 et al. "An Evolutionary Fuzzy System for Multiclustering in Data Streaming"
 <doi:10.1016/j.procs.2023.12.058>.

Package: r-cran-clustermole
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1399
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-bioc-gseabase, r-bioc-gsva, r-cran-magrittr, r-cran-rlang, r-bioc-singscore, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustermole_1.1.1-1.ca2004.1_all.deb
Size: 1380816
MD5sum: e378fafd62655a42ea23415b70c89a74
SHA1: c7666a04ab869e4c56e60977524fbb043ce94f36
SHA256: 31f962bc824284a36b911a4e49bfd1c78fb88724b851b97e2976b430e46caafb
SHA512: d5519c49c5981fefa5332b6d06b9e5b93648221e8f7bd4ec5ac5f7709754bde3640f145143c6b1dfd08b22b1a4eda6bef8d2e5a60feb7d119d86677fd2352793
Homepage: https://cran.r-project.org/package=clustermole
Description: CRAN Package 'clustermole' (Unbiased Single-Cell Transcriptomic Data Cell TypeIdentification)
 Assignment of cell type labels to single-cell RNA sequencing (scRNA-seq)
 clusters is often a time-consuming process that involves manual inspection
 of the cluster marker genes complemented with a detailed literature search.
 This is especially challenging when unexpected or poorly described
 populations are present. The clustermole R package provides methods to query
 thousands of human and mouse cell identity markers sourced from a variety of
 databases.

Package: r-cran-clusternomics
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-plyr, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mclust, r-cran-gplots, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-clusternomics_0.1.1-1.ca2004.1_all.deb
Size: 306228
MD5sum: 617e723d56ab0d8d11590a7cd43be8d4
SHA1: 3527ac4bff46255a1fee08a06848dd62968657ec
SHA256: b358798110d58f33c70652bcafb225ea22b6f1386e557a2eee4cc76d3896d331
SHA512: cb28fcf4e64b5231a8e63c8070695f8d81ea59358dc556d03df27a00dc3937d7bc0f9457132efc3afac698b110b1326744e4747f6d86ca551cec665b61d719f1
Homepage: https://cran.r-project.org/package=clusternomics
Description: CRAN Package 'clusternomics' (Integrative Clustering for Heterogeneous Biomedical Datasets)
 Integrative context-dependent clustering for heterogeneous biomedical
 datasets. Identifies local clustering structures in related datasets, and a
 global clusters that exist across the datasets.

Package: r-cran-clusterranktest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clusterranktest_1.0-1.ca2004.1_all.deb
Size: 28764
MD5sum: ae3d754b4bdf1bbe288c49778a084514
SHA1: 325c4c7915f5ccc0c297f78f8981958a12a0e234
SHA256: 4c180c5041d94f1d19c647443ff8fb7805a0a8e24328ed23fa3b97e1ead15231
SHA512: 762e6130e7f98b96e9698315148fd9f1e6bbc905fbea5cfa27649b0135bbf2ac0e7d4f9a3089e186a108d42b838969d061cf1bb64d2a2da0ecd6afd32e3dc2e8
Homepage: https://cran.r-project.org/package=ClusterRankTest
Description: CRAN Package 'ClusterRankTest' (Rank Tests for Clustered Data)
 Nonparametric rank based tests (rank-sum tests and signed-rank tests) for
 clustered data, especially useful for clusters having informative cluster
 size and intra-cluster group size.

Package: r-cran-clusterrepro
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clusterrepro_0.9-1.ca2004.1_all.deb
Size: 19884
MD5sum: 4082dd0f860e9125adcce11acf2d837c
SHA1: a627ca3c4f288b3ed8c2638395e71898d0b3356f
SHA256: 1b3e3be02697a0e6717a0ea585c032324d05e5901b371c32ce37289bb096b63f
SHA512: 73d4c5a35415446c56f4a04bab7267e35dc219c294c5e5251d036c32d3a067dbfb21ab11811de052dfebc2fd62ce52013ce357d4591efeb1cc6570a8dbbf7716
Homepage: https://cran.r-project.org/package=clusterRepro
Description: CRAN Package 'clusterRepro' (Reproducibility of Gene Expression Clusters)
 This is a function for validating microarray clusters via reproducibility,
 based on the paper referenced below.

Package: r-cran-clusterses
Architecture: all
Version: 2.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-formula, r-cran-plm, r-cran-sandwich, r-cran-lmtest, r-cran-mlogit, r-cran-dfidx
Filename: pool/dists/focal/main/r-cran-clusterses_2.6.5-1.ca2004.1_all.deb
Size: 151432
MD5sum: 5e88142bf28ed6e995e739291081abdf
SHA1: eb052a756a70d73c44e169c896f0e1b243748a29
SHA256: 8c0836bcefa030b6eb48ad929864ffac4a65c5fcc58683ba3125b49f77b44b86
SHA512: 8fa525c564465b145ea15a2bd295d96e2a99f98b827555adac11c7af34f14c1198dd1fc167ec294009db66fb192f2bd7cf3ec5745f254f48afb03b3bb7694b6b
Homepage: https://cran.r-project.org/package=clusterSEs
Description: CRAN Package 'clusterSEs' (Calculate Cluster-Robust p-Values and Confidence Intervals)
 Calculate p-values and confidence intervals using cluster-adjusted
 t-statistics (based on Ibragimov and Muller (2010)
 <DOI:10.1198/jbes.2009.08046>, pairs cluster bootstrapped t-statistics, and
 wild cluster bootstrapped t-statistics (the latter two techniques based on
 Cameron, Gelbach, and Miller (2008) <DOI:10.1162/rest.90.3.414>. Procedures
 are included for use with GLM, ivreg, plm (pooling or fixed effects), and
 mlogit models.

Package: r-cran-clustertend
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clustertend_1.7-1.ca2004.1_all.deb
Size: 12748
MD5sum: 6431e119a2eb098b66f5c45c66ccddb7
SHA1: 0d1165472e3be89bd6ccffdcbaf4d1df06a2320c
SHA256: 819e62d1e9868d4a8f784941269bcaddf3911b81b891267f71e421f694d82ca6
SHA512: d2310a555bc68b717fbff801ac654b765e0f4706d174fad4129fc0bd8a07b83ed27c9afc2ec01c5090e99b527d2c218360e526b794d6ff1c80a9f49d7e5167b8
Homepage: https://cran.r-project.org/package=clustertend
Description: CRAN Package 'clustertend' (Check the Clustering Tendency)
 Calculate some statistics aiming to help analyzing the clustering tendency
 of given data. In the first version, Hopkins statistic is implemented. See
 Hopkins and Skellam (1954) <doi:10.1093/oxfordjournals.aob.a083391>.

Package: r-cran-clusterv
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-cluster
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-clusterv_1.1.1-1.ca2004.1_all.deb
Size: 755192
MD5sum: 08e1163c43e9a27487760d73f41e95f4
SHA1: 261bdce05319f530f6869310b6cc84125130f341
SHA256: 47da190a32e79325a4e89fdcf8d260eb91a11d17fb87bc07f915750df421d46c
SHA512: 6ca69549e8cdda809341fc273ebb02434794a50b91e556e194a89651708c096ee87050960b26f5eb45ded31c543f1a7dc6fec537903abc1249aa658bde3f5cc3
Homepage: https://cran.r-project.org/package=clusterv
Description: CRAN Package 'clusterv' (Assessment of Cluster Stability by Randomized Maps)
 The reliability of clusters is estimated using random projections.  A set of
 stability measures is provided to assess the reliability of the clusters
 discovered by a generic clustering algorithm.  The stability measures are
 taylored to high dimensional data (e.g. DNA microarray data) (Valentini, G
 (2005), <doi:10.1093/bioinformatics/bti817>.

Package: r-cran-clustervar
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastdummies, r-cran-mass, r-cran-mvtnorm, r-cran-scales, r-cran-foreach, r-cran-doparallel, r-cran-parabar, r-cran-iterators
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustervar_0.0.8-1.ca2004.1_all.deb
Size: 1389880
MD5sum: 3a42d02add531713bca12b4a0ead6153
SHA1: 9693b084c30ac242fd21a12fb22f76348e932d52
SHA256: 1e4aa50299085e36c8764ba85f5df986018bd3bd6f91edf135bed51cf77cc691
SHA512: fea550fe71ad1d47c7490fec7f3e482ec754d47a3ceed30019e5d861166177edb13e2f64c7a62a60551212af51c1e82bc0699874ae0103ed1935aa7a9e78238e
Homepage: https://cran.r-project.org/package=ClusterVAR
Description: CRAN Package 'ClusterVAR' (Fitting Latent Class Vector-Autoregressive (VAR) Models)
 Estimates latent class vector-autoregressive models via EM algorithm on
 time-series data for model-based clustering and classification. Includes
 model selection criteria for selecting the number of lags and clusters.

Package: r-cran-clustgeo
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1421
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-spdep
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clustgeo_2.1-1.ca2004.1_all.deb
Size: 1184772
MD5sum: c81cf37633675103651e01cd4c6d6a21
SHA1: 8da95024b9497dafd3a5f7cc4ebb2435f1c133db
SHA256: 07c17c273b341884bd805398191dd597aad8a3aaf7ca50bc23aec5b6e3011118
SHA512: bcd15e030a784df2a31d4193b528d29c0a3e3aba3cae0c6e2731f51f636e8260c5b594bd54134df48a0ca1b6040677c9aedd985d0ea2b7bb9d90d6e380428c17
Homepage: https://cran.r-project.org/package=ClustGeo
Description: CRAN Package 'ClustGeo' (Hierarchical Clustering with Spatial Constraints)
 Implements a Ward-like hierarchical clustering algorithm including soft
 spatial/geographical constraints.

Package: r-cran-clustimpute
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clusterr, r-cran-copula, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-rlang, r-cran-knitr
Suggests: r-cran-ggextra, r-cran-rmarkdown, r-cran-testthat, r-cran-hmisc, r-cran-tictoc, r-cran-spelling, r-cran-corrplot, r-cran-covr
Filename: pool/dists/focal/main/r-cran-clustimpute_0.2.4-1.ca2004.1_all.deb
Size: 609148
MD5sum: 83662aab00eab10ddcf58225c3821e84
SHA1: 419b2a8b3539f4543e7b3e1437a7d9c1a274fadf
SHA256: ce2ac0ecab8c8f6181bf81b881fe74356e123f655ad2631480c77ce626a8ad8d
SHA512: 1bd7461c74a3aed502e2272bd725be9f78aa44f79badff9525e3d76e42da203548b7121874f51c4ad5a91d798948d44b5090eea6558ca909462128dc6f440539
Homepage: https://cran.r-project.org/package=ClustImpute
Description: CRAN Package 'ClustImpute' (K-Means Clustering with Build-in Missing Data Imputation)
 This k-means algorithm is able to cluster data with missing values and as a
 by-product completes the data set. The implementation can deal with missing
 values in multiple variables and is computationally efficient since it
 iteratively uses the current cluster assignment to define a plausible
 distribution for missing value imputation. Weights are used to shrink early
 random draws for missing values (i.e., draws based on the cluster
 assignments after few iterations) towards the global mean of each feature.
 This shrinkage slowly fades out after a fixed number of iterations to
 reflect the increasing credibility of cluster assignments. See the vignette
 for details.

Package: r-cran-clustlearn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-proxy, r-cran-cli
Suggests: r-cran-deldir
Filename: pool/dists/focal/main/r-cran-clustlearn_1.0.0-1.ca2004.1_all.deb
Size: 130952
MD5sum: 686ba145883e2ccb7f38cf4c2aea397d
SHA1: eba4164b236d900692bf18e4cf47cc25215ba2fe
SHA256: 411fd6f9a1b0ba4d1cb203a3fa3f00b4bd12a9e0fd2264e820d64bf580626b52
SHA512: 6149b8fe9420470533c5071ccb15afe3845844a484e1ed6612f289686692723c625ef3a69abace03aeda84f0f08547c08ca2b6d80c9492d3e9a3d223b31017e4
Homepage: https://cran.r-project.org/package=clustlearn
Description: CRAN Package 'clustlearn' (Learn Clustering Techniques Through Examples and Code)
 Clustering methods, which (if asked) can provide step-by-step explanations
 of the algorithms used, as described in Ezugwu et. al., (2022)
 <doi:10.1016/j.engappai.2022.104743>; and datasets to test them on, which
 highlight the strengths and weaknesses of each technique, as presented in
 the clustering section of 'scikit-learn' (Pedregosa et al., 2011)
 <https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>.

Package: r-cran-clustmc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-procs, r-cran-psych, r-cran-usedist
Suggests: r-cran-ggdendro, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustmc_0.1.1-1.ca2004.1_all.deb
Size: 84768
MD5sum: cc43d401193e34c318b3d196768ad3f5
SHA1: adde813f6f7f7ad379087174cb3b8662fa9d803f
SHA256: 2f3c26456ae4947b8df98a334fb40616cbfa78b8fde872d53ae1528270870d52
SHA512: b27fb716fa288c42e0179cff125e19c59d308004b2f5c1e377c38e5380d86342adcd4ee3ea9d0369f2a783434651dd6e833e9d3b05c7339e5d3092d3f8c1ca1d
Homepage: https://cran.r-project.org/package=ClustMC
Description: CRAN Package 'ClustMC' (Cluster-Based Multiple Comparisons)
 Multiple comparison techniques are typically applied following an F test
 from an ANOVA to decide which means are significantly different from one
 another. As an alternative to traditional methods, cluster analysis can be
 performed to group the means of different treatments into non-overlapping
 clusters. Treatments in different groups are considered statistically
 different. Several approaches have been proposed, with varying clustering
 methods and cut-off criteria. This package implements cluster-based multiple
 comparisons tests and also provides a visual representation in the form of a
 dendrogram. Di Rienzo, J. A., Guzman, A. W., & Casanoves, F. (2002)
 <jstor.org/stable/1400690>. Bautista, M. G., Smith, D.  W., & Steiner, R. L.
 (1997) <doi:10.2307/1400402>.

Package: r-cran-clustmd
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mclust, r-cran-reshape2, r-cran-mass, r-cran-msm, r-cran-mvtnorm, r-cran-truncnorm, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-clustmd_1.2.1-1.ca2004.1_all.deb
Size: 169732
MD5sum: f5e791a99997d6c4a36d3fab6d895e6f
SHA1: 6660d5d9a71c5c9082f704bf417b115f342f0a8c
SHA256: b3684321656bd5daf9550e20f574d84da509800911de3d1c0ad0222fc1690a8f
SHA512: 9edeac5cfacc667d69ac0ef585a4eca7f88420279b49cc974da251996e2b19e0be6288de02194e1bae825e5ab6da91f78df76f39603429f97464b7bb32bf4bcb
Homepage: https://cran.r-project.org/package=clustMD
Description: CRAN Package 'clustMD' (Model Based Clustering for Mixed Data)
 Model-based clustering of mixed data (i.e. data which consist of continuous,
 binary, ordinal or nominal variables) using a parsimonious mixture of latent
 Gaussian variable models.

Package: r-cran-clustmixtype
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-tibble, r-cran-combinat, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustmixtype_0.4-2-1.ca2004.1_all.deb
Size: 222828
MD5sum: 3e0dd8c01b54d875f623cf8a8ebdbc5c
SHA1: 24e550255a0229417709ff88c88a8521356f3f76
SHA256: 5615453cb703581615b29c007b04a4ac7bad6d1c27a86fa8584bcb59fd88b8d8
SHA512: af54a2a6bbfbfb299e3e7cc86e738f3e3304cf9a6185117bf1f87bfa306b5c80620012677e8ef2e1cc4316328b29cee21f802b61c02b656ee6a3527f7094b001
Homepage: https://cran.r-project.org/package=clustMixType
Description: CRAN Package 'clustMixType' (k-Prototypes Clustering for Mixed Variable-Type Data)
 Functions to perform k-prototypes partitioning clustering for mixed
 variable-type data according to Z.Huang (1998): Extensions to the k-Means
 Algorithm for Clustering Large Data Sets with Categorical Variables, Data
 Mining and Knowledge Discovery 2, 283-304.

Package: r-cran-clustnet
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bidag, r-cran-pcalg, r-bioc-rbgl, r-cran-clue, r-bioc-graph, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggraph, r-cran-ggpubr, r-cran-ggplot2, r-cran-reshape2, r-cran-car, r-cran-ks, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-clustnet_1.2.0-1.ca2004.1_all.deb
Size: 178880
MD5sum: 7f6651d43e309d1206e9471455fc59b4
SHA1: 3ae9625a35392809e8bca65a0f68a5ab453a7b53
SHA256: 7ee170bb801fa9e9a7c74cc2bd56eca6f81449b32a018bde0b3ec0e1577b750e
SHA512: eb7f56883cc4effb9fae9a2e78e1e407dcbd12b00ae5fb430002aaac409f50697dfe78b96890b330a828bfb970243bae0a11e6f5172f8868dd6f71d6bb3ae9ba
Homepage: https://cran.r-project.org/package=clustNet
Description: CRAN Package 'clustNet' (Network-Based Clustering)
 Network-based clustering using a Bayesian network mixture model with
 optional covariate adjustment.

Package: r-cran-clustofvar
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pcamixdata
Filename: pool/dists/focal/main/r-cran-clustofvar_1.2-1.ca2004.1_all.deb
Size: 191008
MD5sum: 67c711fe39d937fc261e2156aad8a46e
SHA1: cbde945e581ca67779b68b430eba0a222e0457a1
SHA256: 14e91e19ab860ec88bf0b395dce7e76e7e5f18b473dcc233c1f4d4614f2ac5d2
SHA512: c647c8eeb30fa18ac14d5074768886d3496445983696607c40a962733a764e00ef348c77526eebd415d5dc1dc8d318b11953b9aedec79a797757a94d2d342ac4
Homepage: https://cran.r-project.org/package=ClustOfVar
Description: CRAN Package 'ClustOfVar' (Clustering of Variables)
 Cluster analysis of a set of variables. Variables can be quantitative,
 qualitative or a mixture of both.

Package: r-cran-clustorus
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bambi, r-cran-igraph, r-cran-purrr, r-cran-ggplot2, r-cran-rlang, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-clustorus_0.2.2-1.ca2004.1_all.deb
Size: 1878896
MD5sum: 1b6c64f702073401eebc5fdd6deb3da5
SHA1: a9d508e148c7cf1032a7ed54da998402ff01c183
SHA256: 0aa154e0725c32f894da6d0d3cc8d6e8fc509f6b386426fc2bc0e4a6150fde65
SHA512: 0902103ca98a538a54f01291b707e23f27ad4c92568a93eca62ff544db6169bd3c67c5e73dcc4a6df7b3e9918b6295569ba2578c824ea199188bb431fc0c744a
Homepage: https://cran.r-project.org/package=ClusTorus
Description: CRAN Package 'ClusTorus' (Prediction and Clustering on the Torus by Conformal Prediction)
 Provides various tools of for clustering multivariate angular data on the
 torus. The package provides angular adaptations of usual clustering methods
 such as the k-means clustering, pairwise angular distances, which can be
 used as an input for distance-based clustering algorithms, and implements
 clustering based on the conformal prediction framework. Options for the
 conformal scores include scores based on a kernel density estimate,
 multivariate von Mises mixtures, and naive k-means clusters.  Moreover, the
 package provides some basic data handling tools for angular data.

Package: r-cran-clustra
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3561
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-mgcv, r-cran-mixsim
Suggests: r-cran-haven, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clustra_0.2.1-1.ca2004.1_all.deb
Size: 2831588
MD5sum: 6f6eb1924fc8f6108701385eadb1001c
SHA1: bd8526d8c142d8cd689eb6c4aedc97ec9e8c373d
SHA256: b04986184330c4104a1738a7ddcdecb44518c5a2349b526967522759b55b0283
SHA512: 1a392f3f646e6916d9632696f7d9b6f9f5e73ff5a791a4185cd2c8baaa39754608d425ecef060ef5480111b12d41d830f7e617935f2ad76e3bc77cfd8972ffff
Homepage: https://cran.r-project.org/package=clustra
Description: CRAN Package 'clustra' (Clustering Longitudinal Trajectories)
 Clusters longitudinal trajectories over time (can be unequally spaced,
 unequal length time series and/or partially overlapping series) on a common
 time axis. Performs k-means clustering on a single continuous variable
 measured over time, where each mean is defined by a thin plate spline fit to
 all points in a cluster. Distance is MSE across trajectory points to cluster
 spline. Provides graphs of derived cluster splines, silhouette plots, and
 Adjusted Rand Index evaluations of the number of clusters. Scales well to
 large data with multicore parallelism available to speed computation.

Package: r-cran-clustransition
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1034
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flexclust
Filename: pool/dists/focal/main/r-cran-clustransition_1.0-1.ca2004.1_all.deb
Size: 966224
MD5sum: ad4e49f8c1b30b5556fdbb3d3708ccac
SHA1: a93475672f0a2e24feaa0da68caff908c8a395fb
SHA256: 99678b9e6bf13884300847f62acddeedb7a5b1fc02cbd1e957c640eea3640366
SHA512: 2d8a5902c197642cc72f0910d03b667dd7bb71259a5e90121ac802838c1a3f99e5f46f8443a01ba13991c049b13eb33863a7a292a590487578860ba37f1b1477
Homepage: https://cran.r-project.org/package=clusTransition
Description: CRAN Package 'clusTransition' (Monitor Changes in Cluster Solutions of Dynamic Datasets)
 Monitor and trace changes in clustering solutions of accumulating datasets
 at successive time points. The clusters can adopt External and Internal
 transition at succeeding time points. The External transitions comprise of
 Survived, Merged, Split, Disappeared, and newly Emerged candidates. In
 contrast, Internal transition includes changes in location and cohesion of
 the survived clusters. The package uses MONIC framework developed by
 Spiliopoulou, Ntoutsi, Theodoridis, and Schult
 (2006)<doi:10.1145/1150402.1150491> .

Package: r-cran-clustrd
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rarpack, r-cran-tibble, r-cran-corpcor, r-cran-ggally, r-cran-fpc, r-cran-cluster, r-cran-dplyr, r-cran-plyr, r-cran-ggrepel, r-cran-ca
Filename: pool/dists/focal/main/r-cran-clustrd_1.4.0-1.ca2004.1_all.deb
Size: 335628
MD5sum: 290e368f8f047844ebe5bb94db7d210c
SHA1: 9ab1db0bb9b46751b1a1503dc8f93e789237bad4
SHA256: 69e53c8e68c0ee4345c921581fc4f2e6e8874af67bb7217bfeed4e7ea25f81a4
SHA512: 75b84925dc42de15b3c4c6e495fcd6dcc65250369d5577dbaeecad6ea2e9d8e94b61c664f51eecaef42533255c6591010fabac055e35f90c7714fb648f658f9f
Homepage: https://cran.r-project.org/package=clustrd
Description: CRAN Package 'clustrd' (Methods for Joint Dimension Reduction and Clustering)
 A class of methods that combine dimension reduction and clustering of
 continuous, categorical or mixed-type data (Markos, Iodice D'Enza and van de
 Velden 2019; <DOI:10.18637/jss.v091.i10>). For continuous data, the package
 contains implementations of factorial K-means (Vichi and Kiers 2001;
 <DOI:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and
 Carroll 1994; <DOI:10.1007/978-3-642-51175-2_24>); both methods that combine
 principal component analysis with K-means clustering. For categorical data,
 the package provides MCA K-means (Hwang, Dillon and Takane 2006;
 <DOI:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013,
 <DOI:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de
 Velden, Iodice D'Enza and Palumbo 2017; <DOI:10.1007/s11336-016-9514-0>),
 which combine multiple correspondence analysis with K-means. For mixed-type
 data, it provides mixed Reduced K-means and mixed Factorial K-means (van de
 Velden, Iodice D'Enza and Markos 2019; <DOI:10.1002/wics.1456>), which
 combine PCA for mixed-type data with K-means.

Package: r-cran-clustree
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2461
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggraph, r-cran-checkmate, r-cran-igraph, r-cran-dplyr, r-cran-ggplot2, r-cran-viridis, r-cran-rlang, r-cran-tidygraph, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-singlecellexperiment, r-cran-seurat, r-cran-covr, r-bioc-summarizedexperiment, r-cran-pkgdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-clustree_0.5.1-1.ca2004.1_all.deb
Size: 1882948
MD5sum: 4c918edad925bb50e544c93a4e4a9a36
SHA1: a8eb6611a5d55f7fdf1233d8a1ada48aa0d406f9
SHA256: b24259d1ea6810fba363613cd50cc8733bd2f49c09ec3eb2a83642f9b59cc940
SHA512: fef91b321c24e89ed651a17c32bf0ce3af7c9058e782003e5196b02ddebefb794addce0f026929a4555a3972a4747c5914830cff23259234545b09cda7dca216
Homepage: https://cran.r-project.org/package=clustree
Description: CRAN Package 'clustree' (Visualise Clusterings at Different Resolutions)
 Deciding what resolution to use can be a difficult question when approaching
 a clustering analysis. One way to approach this problem is to look at how
 samples move as the number of clusters increases. This package allows you to
 produce clustering trees, a visualisation for interrogating clusterings as
 resolution increases.

Package: r-cran-clustringr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 488
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-stringi, r-cran-stringr, r-cran-stringdist, r-cran-igraph, r-cran-assertthat, r-cran-forcats, r-cran-rlang, r-cran-tidygraph, r-cran-ggraph, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-clustringr_1.0-1.ca2004.1_all.deb
Size: 415824
MD5sum: 4d2c079e661b0c44da3325dce8e215e1
SHA1: ac35fe4e6579c3e439b7587df55cf4e6caba1dcc
SHA256: ce32db2075a3500af5453b66f04f3bd9c70d4a43afe472d901436b4f49344d5d
SHA512: fc26caa96c21d668206c0e400a8aa16441eb71c69218fe6aacbc20af6a69333cd8b169869a417a230a46c41446cc61b48e26a795bd980ac7abec7143828548b0
Homepage: https://cran.r-project.org/package=clustringr
Description: CRAN Package 'clustringr' (Cluster Strings by Edit-Distance)
 Returns an edit-distance based clusterization of an input vector of strings.
 Each cluster will contain a set of strings w/ small mutual edit-distance
 (e.g., Levenshtein, optimum-sequence-alignment, Damerau-Levenshtein), as
 computed by stringdist::stringdist(). The set of all mutual edit-distances
 is then used by graph algorithms (from package 'igraph') to single out
 subsets of high connectivity.

Package: r-cran-clustshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-klar, r-cran-mass, r-cran-dplyr, r-cran-psycho, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-clustshiny_0.1.0-1.ca2004.1_all.deb
Size: 70128
MD5sum: ff3c5b6bbda0964ed35322d1c68bfd5b
SHA1: d11d6633f6e8ef717a6e70712bb01aaaeb346cd7
SHA256: 868f00392af7b066d0260f8697dd12bfc367ebb0d567f6594947b7ef7f8a1b6b
SHA512: fc5e2c78fb8410467ba43556a817340be22a00334a023f8dbc41a63768ce139358b81fa89754eedd8c61dd62190206839aebecd326af3d78e4589b8472b42f83
Homepage: https://cran.r-project.org/package=CLUSTShiny
Description: CRAN Package 'CLUSTShiny' (Interactive Document for Working with Cluster Analysis)
 An interactive document on the topic of cluster analysis using 'rmarkdown'
 and 'shiny' packages. Runtime examples are provided in the package function
 as well as at <https://analyticmodels.shinyapps.io/ClusterAnalysis/>.

Package: r-cran-clustsig
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-clustsig_1.1-1.ca2004.1_all.deb
Size: 44344
MD5sum: 4e2d6dd27442c05873f5ebec47da6115
SHA1: ef1095e3fa16e922c709367ccb129c1fa18fa358
SHA256: 6b7eada7cd2b1ff4e6248d3db3b2b235c9bfc2138e52a9d0b861c851a389aa2c
SHA512: c08a7a7423602a929a7736b7f348b982d2af7946451e131a9ffff46e30a9a2e40ee571e6a0c5b74631dda5faefc8d9ae9886203caddb47fb53ba4e183b889c09
Homepage: https://cran.r-project.org/package=clustsig
Description: CRAN Package 'clustsig' (Significant Cluster Analysis)
 A complimentary package for use with hclust; simprof tests to see which (if
 any) clusters are statistically different. The null hypothesis is that there
 is no a priori group structure.  See Clarke, K.R., Somerfield, P.J., and
 Gorley R.N. 2008.  Testing of null hypothesis in exploratory community
 analyses: similarity profiles and biota-environment linkage. J. Exp. Mar.
 Biol. Ecol. 366, 56-69.

Package: r-cran-clustvarsel
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 724
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mclust, r-cran-matrix, r-cran-bma, r-cran-foreach, r-cran-iterators
Suggests: r-cran-mass, r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-clustvarsel_2.3.5-1.ca2004.1_all.deb
Size: 504624
MD5sum: 955f09a8ef51c599e97e2cc1bb5983cc
SHA1: a88b03fa74026ad8cb79795568648da87bd67ad5
SHA256: 7285d82c16f7aa20353360943195d56fc28106c56a9129493da0f67866d3649d
SHA512: e9d429a1a924b934c2e6a51633f6b24f976f99656c347f232d92543b5b43f4250d8e244b37e551c2cc5a3f7d4013444e8d68dd0e07c5982a2f33b7546a608470
Homepage: https://cran.r-project.org/package=clustvarsel
Description: CRAN Package 'clustvarsel' (Variable Selection for Gaussian Model-Based Clustering)
 Variable selection for Gaussian model-based clustering as implemented in the
 'mclust' package. The methodology allows to find the (locally) optimal
 subset of variables in a data set that have group/cluster information. A
 greedy or headlong search can be used, either in a forward-backward or
 backward-forward direction, with or without sub-sampling at the hierarchical
 clustering stage for starting 'mclust' models. By default the algorithm uses
 a sequential search, but parallelisation is also available.

Package: r-cran-clvalid
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 718
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-class
Suggests: r-bioc-biobase, r-bioc-annotate, r-cran-rankaggreg, r-cran-kohonen, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-clvalid_0.7-1.ca2004.1_all.deb
Size: 607672
MD5sum: 7bb104466c9698066fe6ee0253641a6e
SHA1: 2244192640a9565e17697d73a2e36b2a6b0d0b12
SHA256: ce3e6083a8277957c8940e8ecd5f12588e4d0a1ecccca6cfc6ea1cf8d55fff19
SHA512: f6562d7a3a40d5d59a6b7cf0f2265f6e752eebdf22dab3b41e9bdfcebd0fa1da25da47a519446bd6c596b62f0eb261040070a1ae858eac89e83b41e3cdef7cd4
Homepage: https://cran.r-project.org/package=clValid
Description: CRAN Package 'clValid' (Validation of Clustering Results)
 Statistical and biological validation of clustering results. This package
 implements Dunn Index, Silhouette, Connectivity, Stability, BHI and BSI.
 Further information can be found in Brock, G et al. (2008) <doi:
 10.18637/jss.v025.i04>.

Package: r-cran-cmaes
Architecture: all
Version: 1.0-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-cmaes_1.0-12-1.ca2004.1_all.deb
Size: 41964
MD5sum: 149d23917d9b435d7ea182d48c751dbe
SHA1: a47a896860266780f66531e56d1cf33583e53f77
SHA256: 482393c21811d433baed0e577c5b7288e63b7945b4f41167791275e58a6774e1
SHA512: b00d01145c134fc797b93934d667fcdfbd9b3ef7eed9b1814b5e154335de06bed81c46eb729336b0361e4c7288e4ca11f227bb25262e207419236c5548e305e3
Homepage: https://cran.r-project.org/package=cmaes
Description: CRAN Package 'cmaes' (Covariance Matrix Adapting Evolutionary Strategy)
 Single objective optimization using a CMA-ES.

Package: r-cran-cmaesr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-paramhelpers, r-cran-bbmisc, r-cran-checkmate, r-cran-smoof, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmaesr_1.0.3-1.ca2004.1_all.deb
Size: 81856
MD5sum: fabcb9fc20ffaa85db7476c464de453c
SHA1: 3473b0aa6e17eefb027bc93ca01414703465325d
SHA256: 5ea3ac60d1549e711292bfff5b4be144eaf2342b063e9b68e1cc0cad1566e9bc
SHA512: 828651b10e30ea91d817d864617f92b92cf1054b96d593db3cc32b5dff27493a4b1817f90397f22e76521bab59f111f1377d85a9c0f614849035d6468f4024d9
Homepage: https://cran.r-project.org/package=cmaesr
Description: CRAN Package 'cmaesr' (Covariance Matrix Adaptation Evolution Strategy)
 Pure R implementation of the Covariance Matrix Adaptation - Evolution
 Strategy (CMA-ES) with optional restarts (IPOP-CMA-ES).

Package: r-cran-cmahalanobis
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-mice
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmahalanobis_0.5.0-1.ca2004.1_all.deb
Size: 179460
MD5sum: 14a061adc9c4320776d0b1bbc257c224
SHA1: ec48c717ac162dee05b02c603f3cf23aa0e35752
SHA256: 974b4a9b78d9a42bb829c690d12bb8a0a82e02398c9d7488c6475b38b8276ef6
SHA512: 81d7428e0ce69ede4b1d92e4d311b6fc4bc18929ce93e91e6aa3f0cc77f769ac901d1b74f41452239ee4882b592f394c3e80811fd8ee90b0d738e54a43711bb2
Homepage: https://cran.r-project.org/package=cmahalanobis
Description: CRAN Package 'cmahalanobis' (Calculate Distance Measures for a Given List of Data Frames withFactors)
 It provides functions that calculate Mahalanobis distance, Euclidean
 distance, Manhattan distance, Chebyshev distance, Hamming distance, Canberra
 distance, Minkowski distance, Cosine distance, Bhattacharyya distance,
 Jaccard distance, Hellinger distance, Bray-Curtis distance, Sorensen-Dice
 distance between each pair of species in a list of data frames. These
 metrics are fundamental in various fields, such as cluster analysis,
 classification, and other applications of machine learning and data mining,
 where assessing similarity or dissimilarity between data is crucial. The
 package is designed to be flexible and easily integrated into data analysis
 workflows, providing reliable tools for evaluating distances in
 multidimensional contexts.

Package: r-cran-cmanalysis
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-ggplot2, r-cran-factoextra, r-cran-clue, r-cran-igraph, r-cran-stringr, r-cran-pheatmap
Filename: pool/dists/focal/main/r-cran-cmanalysis_1.0.0-1.ca2004.1_all.deb
Size: 104376
MD5sum: 99c7f27a26473122c15dad3bd5fdbe82
SHA1: 98e7473330eceb3908b9a0efbe34037ff8ff0fd5
SHA256: 2004a85acb2bb2f5d9906917e1436f9077d1fd4435b820f74c37c61dccc0bca8
SHA512: 44a78255c9d5afe0faed3927c61c693fd19cb444162c0b6b1f9b89925f179ae48f4194223593c254f13f049a55ea20a05e3bdd44b1211e998bb3213b516212be
Homepage: https://cran.r-project.org/package=cmAnalysis
Description: CRAN Package 'cmAnalysis' (Process and Visualise Concept Mapping Data)
 Processing and visualizing concept mapping data. Concept maps are versatile
 tools used across disciplines to enhance understanding, teaching,
 brainstorming, and information organization. The analysis of concept mapping
 data involves the sequential use of cluster analysis (for sorting
 participants and statements), multidimensional scaling (for positioning
 statements in a conceptual space), and visualization techniques, including
 point cluster maps and dendrograms.

Package: r-cran-cmapviz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1063
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-reshape2, r-cran-stringr
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cmapviz_0.1.0-1.ca2004.1_all.deb
Size: 136456
MD5sum: e280a8a794c1240e560975d9eb88adf4
SHA1: adc4e9d66ad1d473037855e944c1ec8774c494f2
SHA256: c9fa139ef55e35ae3ee1055b15599fa9e8d9cc2cda96c82fcb559a33373998bd
SHA512: 3416dcd9a0f5fe8c68a63ad8c54f209d4f313fd3135c2d54a37fc99b871146b8c5b84a33d75ae8df7b5a2670f3275ea532f4146ee0200f0bed82ec66aca1b646
Homepage: https://cran.r-project.org/package=CMapViz
Description: CRAN Package 'CMapViz' (Representation Tool For Output Of Connectivity Map (CMap)Analysis)
 Automatically displays graphical visualization for exported data table
 (permutated results) from Connectivity Map (CMap) (2006)
 <doi:10.1126/science.1132939>.  It allows the representation of the
 statistics (p-value and enrichment) according to each cell lines in the form
 of a bubble plot.

Package: r-cran-cmars
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-earth, r-cran-rmosek, r-cran-stringr, r-cran-matrix, r-cran-auc, r-cran-ryacas0, r-cran-rocr, r-cran-mpv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmars_0.1.3-1.ca2004.1_all.deb
Size: 438192
MD5sum: a17a857ebdcfc28c53ab7e06262ddc30
SHA1: 03819b4d0144b616817d75c08879219a0e1dc8fe
SHA256: c47cc879d01528813570b706f7f643cb698e93acf3a57f0017d5935d747f4db2
SHA512: 0aeed3f17d111d337ccdf422e6bf15c54831f6442a5fb75b45d7ec3c9cb660bd7d4ab04e3af1c3aa8504cadac28f5efca70a17afe10e92367bb7b15be65f54b7
Homepage: https://cran.r-project.org/package=cmaRs
Description: CRAN Package 'cmaRs' (Implementation of the Conic Multivariate Adaptive RegressionSplines in R)
 An implementation of 'Conic Multivariate Adaptive Regression Splines
 (CMARS)' in R.  See Weber et al. (2011) CMARS: a new contribution to
 nonparametric regression with multivariate adaptive regression splines
 supported by continuous optimization, <DOI:10.1080/17415977.2011.624770>. It
 constructs models by using the terms obtained from the forward step of MARS
 and then estimates parameters by using 'Tikhonov' regularization and conic
 quadratic optimization. It is possible to construct models for prediction
 and binary classification. It provides performance measures for the model
 developed. The package needs the optimisation software 'MOSEK'
 <https://www.mosek.com/> to construct the models. Please follow the
 instructions in 'Rmosek' for the installation.

Package: r-cran-cmatching
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matching, r-cran-lmtest, r-cran-multiwayvcov, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-cmatching_2.4-1.ca2004.1_all.deb
Size: 84820
MD5sum: f7875acdcdea4d0b73070e34c8100bd3
SHA1: 3a162a88cb2a7039bbb78fb54b6d5175303378b8
SHA256: 94905b5c605a302b10de7f632057ae6cd0456452d8ee2d8a5212bd9705dae582
SHA512: e2e331ca7976b015778e5325e3ae76be729ade24f46e1766ef059b8cd5a4ab6ddde8e410c16f17933b86351b0db0d636b3f9196e95c728d458e9a4c713c4bfda
Homepage: https://cran.r-project.org/package=CMatching
Description: CRAN Package 'CMatching' (Matching Algorithms for Causal Inference with Clustered Data)
 Provides functions to perform matching algorithms for causal inference with
 clustered data, as described in B. Arpino and M. Cannas (2016)
 <doi:10.1002/sim.6880>. Pure within-cluster and preferential within-cluster
 matching are implemented. Both algorithms provide causal estimates with
 cluster-adjusted estimates of standard errors.

Package: r-cran-cmc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cmc_1.0-1.ca2004.1_all.deb
Size: 30928
MD5sum: 63157c5ae1b8f2bf8dcf604c6325af2d
SHA1: ede10173bd6f3e6caf5f1368d35d9ab215c6c049
SHA256: fddaf31600bc88f316e55e986abd79de64f1877b89f54810c79f6b2b0f170413
SHA512: e4a74d6fbf035a8dca555b963e00fb2bc5435bb4b3869da3e6965b9e89979870fd3472da2880520cbc919b64eadb616d13ac61d6b4b4843ea8856252ef5db851
Homepage: https://cran.r-project.org/package=CMC
Description: CRAN Package 'CMC' (Cronbach-Mesbah Curve)
 Calculation and plot of the stepwise Cronbach-Mesbah Curve

Package: r-cran-cmce
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cmce_0.1.0-1.ca2004.1_all.deb
Size: 92760
MD5sum: aee88f588209c20287c7a5bcae94f435
SHA1: 8e6660962b6f02e7225c65b0c6299533b843d1eb
SHA256: ac952305f4fa111129706c2ab1b40186db12b7365a51e7f5f18e05dccbadf697
SHA512: 89fcdbc8ab90b79f0f1630bcc0f671ee1d819587477f6b8e4b5976e862f3c5258ca00653fc9bbce46703de7a6ec93297fdbb82b6acaa11d19a271018e2c34b43
Homepage: https://cran.r-project.org/package=cmce
Description: CRAN Package 'cmce' (Computer Model Calibration for Deterministic and StochasticSimulators)
 Implements the Bayesian calibration model described in Pratola and Chkrebtii
 (2018) <DOI:10.5705/ss.202016.0403> for stochastic and deterministic
 simulators.  Additive and multiplicative discrepancy models are currently
 supported. See <http://www.matthewpratola.com/software> for more information
 and examples.

Package: r-cran-cmcr
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4259
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-x3ptools, r-cran-dplyr, r-cran-ggplot2, r-cran-imager, r-cran-purrr, r-cran-zoo, r-cran-stringr, r-cran-scales, r-cran-ggnewscale, r-cran-quantreg, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-patchwork, r-cran-ggplotify
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-cran-dt, r-cran-magick, r-cran-rgl, r-cran-covr, r-cran-gridextra, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-cmcr_0.1.11-1.ca2004.1_all.deb
Size: 3501060
MD5sum: e913490a81e518853910ed11ec7fa053
SHA1: dc169b612d4d0a216097814705d5ed85c3f8382f
SHA256: d65a731648ee2e93b277bdfa6a73fb1bdc47a091d009c44b5657d181c9b56db1
SHA512: a119649cf8abdd1580446cd71504e237535504bd110e65d7174859b4a4e0c9974d37f1a36e1cc6308b0a55a4e8fbcc60fb2f2bf07f2fdabdecbc045bbae148bd
Homepage: https://cran.r-project.org/package=cmcR
Description: CRAN Package 'cmcR' (An Implementation of the 'Congruent Matching Cells' Method)
 An open-source implementation of the 'Congruent Matching Cells' method for
 cartridge case identification as proposed by Song (2013)
 <https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=911193> as well as
 an extension of the method proposed by Tong et al. (2015)
 <doi:10.6028/jres.120.008>.  Provides a wide range of pre, inter, and
 post-processing options when working with cartridge case scan data and their
 associated comparisons. See the cmcR package website for more details and
 examples.

Package: r-cran-cmdfun
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-purrr, r-cran-r.utils, r-cran-rlang, r-cran-testthat, r-cran-usethis
Suggests: r-cran-cli, r-cran-covr, r-cran-knitr, r-cran-processx, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cmdfun_1.0.2-1.ca2004.1_all.deb
Size: 84160
MD5sum: c460d0eb001e5ee7f6f794c043041a1b
SHA1: d0c3bdf2749b6f87d5855c6ea7f73463f96301e0
SHA256: 274e47b99ce953e93e414f5e9a1879e377a19b7cbf19d0e6b3332deaf7eb5335
SHA512: ff8cc7c46dcbc95497e8989a347150fbc299ba88d67385d60032b62088dce79363f0f0a2dd1c082f90f1fa7c76476c91c8784360d24b54abf612494d745f274a
Homepage: https://cran.r-project.org/package=cmdfun
Description: CRAN Package 'cmdfun' (Framework for Building Interfaces to Shell Commands)
 Writing interfaces to command line software is cumbersome.  'cmdfun'
 provides a framework for building function calls to seamlessly interface
 with shell commands by allowing lazy evaluation of command line arguments.
 'cmdfun' also provides methods for handling user-specific paths to tool
 installs or secrets like API keys.  Its focus is to equally serve package
 builders who wish to wrap command line software, and to help analysts stay
 inside R when they might usually leave to execute non-R software.

Package: r-cran-cmfsurrogate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cmfsurrogate_1.0-1.ca2004.1_all.deb
Size: 50392
MD5sum: 3ed119ccb1b1b53cb4295d63426cb4b1
SHA1: 92420432518899d90c50976583743386a0c4a3d9
SHA256: 963945b40b8859e1a07ffe7a52d145970bf5ffcc713bdfbc4e69ec0bdac9917d
SHA512: 83d546e76560a87bf149aab1e7d07e2531cb60f1d862b214d4f7e00e1b075fdbe49ba2e5ac28e25a7e01ef7c3cfb002d6e6a25095897cb9a218eab886f66f221
Homepage: https://cran.r-project.org/package=CMFsurrogate
Description: CRAN Package 'CMFsurrogate' (Calibrated Model Fusion Approach to Combine Surrogate Markers)
 Uses a calibrated model fusion approach to optimally combine multiple
 surrogate markers. Specifically, two initial estimates of optimal composite
 scores of the markers are obtained; the optimal calibrated combination of
 the two estimated scores is then constructed which ensures both validity of
 the final combined score and optimality with respect to the proportion of
 treatment effect explained (PTE) by the final combined score. The primary
 function, pte.estimate.multiple(), estimates the PTE of the identified
 combination of multiple surrogate markers. Details are described in Wang et
 al (2022) <doi:10.1111/biom.13677>.

Package: r-cran-cmhc
Architecture: all
Version: 0.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 853
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-digest, r-cran-httr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-rlang, r-cran-aws.s3
Suggests: r-cran-knitr, r-cran-scales, r-cran-cancensus, r-cran-ggplot2, r-cran-tidyr, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-cmhc_0.2.10-1.ca2004.1_all.deb
Size: 639148
MD5sum: b6b84dfde05124b05b267aacba995bed
SHA1: 9a653eb6310e62aaf8490bfb54545eaffcd97ad5
SHA256: 45d192b62272dba3a4014f8cbd9aa039a53ff53946f1f36220cd0d4b1af284c8
SHA512: 4a79677fdf5b92f8fcdd6c9340f2a2b8d8da9b2b046650ff6d156a2a9893c073096a4aba53cf546386e9515047ccf65422504bc1252c0f98c21cd36578694e2f
Homepage: https://cran.r-project.org/package=cmhc
Description: CRAN Package 'cmhc' (Access, Retrieve, and Work with CMHC Data)
 Wrapper around the Canadian Mortgage and Housing Corporation (CMHC) web
 interface. It enables programmatic and reproducible access to a wide variety
 of housing data from CMHC.

Package: r-cran-cmhnpa
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-car
Filename: pool/dists/focal/main/r-cran-cmhnpa_1.1.1-1.ca2004.1_all.deb
Size: 290244
MD5sum: e805f5ff0c2ddb20e48d5e6fb2079204
SHA1: 67fdb915cfa88bf7242288aec1d602e62213d451
SHA256: f8fc2ea4c5640e0264bdf6036fef0b414cac7129f898d45d1abeca9261d5d9f7
SHA512: 8a97a791fb9819e9db2832d45b2e460b4e7cdb379c0aaf013300db67f98f861e80f1293ace7dcc418ec25ad7996c638673024330e9b17da842117d8c95ddd963
Homepage: https://cran.r-project.org/package=CMHNPA
Description: CRAN Package 'CMHNPA' (Cochran-Mantel-Haenszel and Nonparametric ANOVA)
 Cochran-Mantel-Haenszel methods (Cochran (1954) <doi:10.2307/3001616>;
 Mantel and Haenszel (1959) <doi:10.1093/jnci/22.4.719>; Landis et al. (1978)
 <doi:10.2307/1402373>) are a suite of tests applicable to categorical data.
 A competitor to those tests is the procedure of Nonparametric ANOVA which
 was initially introduced in Rayner and Best (2013) <doi:10.1111/anzs.12041>.
 The methodology was then extended in Rayner et al. (2015)
 <doi:10.1111/anzs.12113>. This package employs functions related to both
 methodologies and serves as an accompaniment to the book: An Introduction to
 Cochran–Mantel–Haenszel and Non-Parametric ANOVA. The package also contains
 the data sets used in that text.

Package: r-cran-cmhsu
Architecture: all
Version: 0.0.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cmhsu_0.0.6.9-1.ca2004.1_all.deb
Size: 51384
MD5sum: f70798d749f66bb5e8db1675c209842f
SHA1: 0e6f999499b8cb68021ccd4a392d6a95db1d793d
SHA256: 8ac244cdfad172eb4443e8bcbbaf7d7eddfcde33a4347d58d95b91df54d28cd2
SHA512: daff0b37917a39fcac2c6aa021236c02aff2c79cb082ee2e3073a7e6e87459248f741cf9613465ea7d2fb23b81750a9ac19470a344af923600c14709aac706dd
Homepage: https://cran.r-project.org/package=CMHSU
Description: CRAN Package 'CMHSU' (Mental Health Status, Substance Use Status and their ConcurrentStatus in North American Healthcare Administrative Databases)
 Patients' Mental Health (MH) status, Substance Use (SU) status, and
 concurrent MH/SU status in the American/Canadian Healthcare Administrative
 Databases can be identified. The detection is based on given parameters of
 interest by clinicians including the list of plausible ICD MH/SU codes
 (3/4/5 characters), the required number of visits of hospital for MH/SU ,
 the required number of visits of service physicians for MH/SU, and the
 maximum time span within MH visits, within SU visits, and, between MH and SU
 visits. Methods are described in: Khan S
 <https://pubmed.ncbi.nlm.nih.gov/29044442/>, Keen C, et al. (2021)
 <doi:10.1111/add.15580>, Lavergne MR, et al. (2022)
 <doi:10.1186/s12913-022-07759-z>, Casillas, S M, et al. (2022)
 <doi:10.1016/j.abrep.2022.100464>, CIHI (2022) <https://www.cihi.ca/en>, CDC
 (2024) <https://www.cdc.gov>, WHO (2019) <https://icd.who.int/en>.

Package: r-cran-cmip6visr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 903
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cmip6visr_1.0.0-1.ca2004.1_all.deb
Size: 590236
MD5sum: fd7a1e011a5da507914821beaef7aff3
SHA1: 1d111e486bca270ff7051f84cfae8cb90798e0be
SHA256: 49527508ad4640c07011ff65bc42d0198d3d3bef5eb94e5e2271df462e81bc08
SHA512: 6ed4cce7d95b7fd9c08eb726dc05307f94098ffdba079725812343080f3c46486cc6c34be2ea1fe4cca621fd27dc9229f165d7dabfa676b9976bb629b7f90fd5
Homepage: https://cran.r-project.org/package=CMIP6VisR
Description: CRAN Package 'CMIP6VisR' (Visualization and Analysis of Coupled Model IntercomparisonProject, Phase-6 (CMIP6) Hydroclimatic Data)
 Data manipulation for Coupled Model Intercomparison Project, Phase-6 (CMIP6)
 hydroclimatic data. The files are archived in the Federated Research Data
 Repository (FRDR) (Rajulapati et al, 2024, <doi:10.20383/103.0829>). The
 data set is described in Abdelmoaty et al. (2025,
 <doi:10.1038/s41597-025-04396-z>).

Package: r-cran-cml
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-cml_0.2.2-1.ca2004.1_all.deb
Size: 50144
MD5sum: e0a07f2aaa66380e4f9096066b42477d
SHA1: b526361a4a412dae03abc02291b1e702d0f67b88
SHA256: 0a641db83b397d69768f3f657eac50a81015e594d11f6a04fda988fea6a78c25
SHA512: 63a2f50e6412869e254d51da7265917b804213fd9927e838df0e079895e44db73c2268f3a5942b331b6b1af73b5f579eb82f09c245edfbd6afe89798a0e1a022
Homepage: https://cran.r-project.org/package=cml
Description: CRAN Package 'cml' (Conditional Manifold Learning)
 Finds a low-dimensional embedding of high-dimensional data, conditioning on
 available manifold information. The current version supports conditional MDS
 (based on either conditional SMACOF in Bui (2021) <arXiv:2111.13646> or
 closed-form solution in Bui (2022) <doi:10.1016/j.patrec.2022.11.007>) and
 conditional ISOMAP in Bui (2021) <arXiv:2111.13646>.

Package: r-cran-cmls
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-cmls_1.0-1-1.ca2004.1_all.deb
Size: 145412
MD5sum: 261d04b647016c0b403c46fbbe23a114
SHA1: 7e94480ea958de293d17fbd00abf5ef3db269cf9
SHA256: abfae06ffd3122c9f3183f7d0bf1ce4110ef2bf2116aefcc9cb7a870bd640c2c
SHA512: cc5344cb171fdd7b53dc3dc9a0ce4eac03c00074c9cc58bb9888d5dbe220da4378c2eebbe2591093db13963f3e70a9ec1e3d570138925775a3ed5ab3502c6c7c
Homepage: https://cran.r-project.org/package=CMLS
Description: CRAN Package 'CMLS' (Constrained Multivariate Least Squares)
 Solves multivariate least squares (MLS) problems subject to constraints on
 the coefficients, e.g., non-negativity, orthogonality, equality, inequality,
 monotonicity, unimodality, smoothness, etc. Includes flexible functions for
 solving MLS problems subject to user-specified equality and/or inequality
 constraints, as well as a wrapper function that implements 24 common
 constraint options. Also does k-fold or generalized cross-validation to tune
 constraint options for MLS problems. See ten Berge (1993,
 ISBN:9789066950832) for an overview of MLS problems, and see Goldfarb and
 Idnani (1983) <doi:10.1007/BF02591962> for a discussion of the underlying
 quadratic programming algorithm.

Package: r-cran-cmm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cmm_1.0-1.ca2004.1_all.deb
Size: 353892
MD5sum: a2bbce4bbfa5c9ad16841a2d4f5bee84
SHA1: 63f5e5361c899c034d40b62afe9a5c941babe342
SHA256: 9516daed02022bce569f6de73e8d0cf7c09a5b075b08cd6f0ea49609dde96a43
SHA512: 1c25a416f7af8cc1937debc240a591997242429a9e42c9b13d3f4f521a2af187ec3c6db6160f77e2f065899afb081af19e5d4eb3e8dba5140cecd801374742a9
Homepage: https://cran.r-project.org/package=cmm
Description: CRAN Package 'cmm' (Categorical Marginal Models)
 Quite extensive package for maximum likelihood estimation and weighted least
 squares estimation of categorical marginal models (CMMs; e.g., Bergsma and
 Rudas, 2002, <http://www.jstor.org/stable/2700006?; Bergsma, Croon and
 Hagenaars, 2009, <DOI:10.1007/b12532>.

Package: r-cran-cmmr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-progress, r-cran-rjsonio, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmmr_1.0.3-1.ca2004.1_all.deb
Size: 40940
MD5sum: 6701095c5649a634221c3f1b567beade
SHA1: 080b71d0dc92ee9da0c436a6f486637d9d62a37a
SHA256: 1ff728a483d3e9d38c95a75b6a03fdf0f5100d9dbbb3dcac579120c77e8b790c
SHA512: f0a34a7ab91ee5fa56753d0c4f035d5f07826c6ac16039159f3f1074e8db92b5c78575675f3a0a9493877bcc74556882eec483725e5e401b3d2d812968897d77
Homepage: https://cran.r-project.org/package=cmmr
Description: CRAN Package 'cmmr' (CEU Mass Mediator RESTful API)
 CEU (CEU San Pablo University) Mass Mediator is an on-line tool for aiding
 researchers in performing metabolite annotation. 'cmmr' (CEU Mass Mediator
 RESTful API) allows for programmatic access in R: batch search, batch
 advanced search, MS/MS (tandem mass spectrometry) search, etc.  For more
 information about the API Endpoint please go to
 <https://github.com/YaoxiangLi/cmmr>.

Package: r-cran-cmms
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fastdummies, r-cran-survey, r-cran-robcompositions, r-cran-ggplot2, r-cran-forcats, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-cmms_1.0.0-1.ca2004.1_all.deb
Size: 65068
MD5sum: b6cdb3092ecf7755ce44c89953758239
SHA1: 2b03eb8411a46e95e67925741435d94a553d40d7
SHA256: eca1fac5a661ebdce50b6121cedc8daebce6b1b01024a9b79e0b0c643a8f917a
SHA512: b1a693d53a7008acc482c8a88826a9fdef18552c58ebbc875a523e6817a2122796b6de25c9c304f4a6604071c0fffe02039aa5ef8f6022b793f75828f50a4ef8
Homepage: https://cran.r-project.org/package=CMMs
Description: CRAN Package 'CMMs' (Compositional Mediation Model)
 A compositional mediation model for continuous outcome and binary outcomes
 to deal with mediators that are compositional data. Lin, Ziqiang et al.
 (2022) <doi:10.1016/j.jad.2021.12.019>.

Package: r-cran-cmna
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-devtools, r-cran-markdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-cmna_1.0.5-1.ca2004.1_all.deb
Size: 187640
MD5sum: c06ea5960bb3e09910a64b1b4cc4bcde
SHA1: 549c77c2ca82e13c689c2c75b337c5b7dc633612
SHA256: 949b89679de53b62a6e191ccf71cae33cc3f8462127154031518b9068e5114e6
SHA512: fb3ca01bfee3b447b525fb9ae0214438246fb389df26e3bed6d50ad396c5500115c0e898a50b92af9a49d8bd609e33e9055035c66288c1a9f356a33c2b328d7e
Homepage: https://cran.r-project.org/package=cmna
Description: CRAN Package 'cmna' (Computational Methods for Numerical Analysis)
 Provides the source and examples for James P. Howard, II, "Computational
 Methods for Numerical Analysis with R," <https://jameshoward.us/cmna/>, a
 book on numerical methods in R.

Package: r-cran-cmocean
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1249
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cmocean_0.3-2-1.ca2004.1_all.deb
Size: 1203672
MD5sum: 2f810256cdb0777527745061d52bfe93
SHA1: fac91c7999c46f2ad58f51f8d9f56769f1ad7f14
SHA256: 8fc849f5c3608ac86fda56ce77ba5bcfb6e6d57975479da7e53fe1117306fec3
SHA512: dc680e7dabb3ffec82a071be0bbd9f877bc60ff9c09d01ef3cff6d92ac642400c0e5f953ce6ce9f8a51fb9411f84b13b7caa98896c4491f42eb5c4c068e234bd
Homepage: https://cran.r-project.org/package=cmocean
Description: CRAN Package 'cmocean' (Beautiful Colour Maps for Oceanography)
 Perceptually uniform palettes for commonly used variables in oceanography as
 functions taking an integer and producing character vectors of colours.  See
 Thyng, K.M., Greene, C.A., Hetland, R.D., Zimmerle, H.M.  and S.F. DiMarco
 (2016) <doi:10.5670/oceanog.2016.66> for the guidelines adhered to when
 creating the palettes.

Package: r-cran-cmplot
Architecture: all
Version: 4.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1862
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cmplot_4.5.1-1.ca2004.1_all.deb
Size: 1872980
MD5sum: ac884141d16e063e037777dda91d9136
SHA1: 8088493294cf088b4b239db286ede3182a97986e
SHA256: 642a95501bb65fcb25fa87b3bd27f4d41612b0ed56b683f2d487b0a608fa0725
SHA512: 1070357de736287748330df4b2e9831836298a56eabac60dcd84b1933eee2138808096cad501e34c83ec1e86d69b9498b9ed9a49a49d756617cc10bf04475f7e
Homepage: https://cran.r-project.org/package=CMplot
Description: CRAN Package 'CMplot' (Circle Manhattan Plot)
 Manhattan plot, a type of scatter plot, was widely used to display the
 association results. However, it is usually time-consuming and laborious for
 a non-specialist user to write scripts and adjust parameters of an elaborate
 plot. Moreover, the ever-growing traits measured have necessitated the
 integration of results from different Genome-wide association study
 researches. Circle Manhattan Plot is the first open R package that can lay
 out. Genome-wide association study P-value results in both traditional
 rectangular patterns, QQ-plot and novel circular ones. United in only one
 bull's eye style plot, association results from multiple traits can be
 compared interactively, thereby to reveal both similarities and differences
 between signals. Additional functions include: highlight signals, a group of
 SNPs, chromosome visualization and candidate genes around SNPs.

Package: r-cran-cmprskcoxmsm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-twang, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cmprskcoxmsm_0.2.1-1.ca2004.1_all.deb
Size: 295964
MD5sum: 09b39fc637631f625c92fb1336041ca3
SHA1: 67cd69626763fc339a6609f8f59c3af5b83a17f9
SHA256: 837d86147b8ffdb4e8b30bca19df46fd249102b5260597d666a909372152d50d
SHA512: b2fce443d3be93e8aaecd4ff52123bed26b8a8b724e7058d1906982f7c80fd98e5fe5ad7036c3aa832434b7e3d63647b38227296ddd214e7c40b3a023c0e8dbe
Homepage: https://cran.r-project.org/package=cmprskcoxmsm
Description: CRAN Package 'cmprskcoxmsm' (Use IPW to Estimate Treatment Effect under Competing Risks)
 Uses inverse probability weighting methods to estimate treatment effect
 under marginal structure model for the cause-specific hazard of competing
 risk events. Estimates also the cumulative incidence function (i.e. risk) of
 the potential outcomes, and provides inference on risk difference and risk
 ratio. Reference: Kalbfleisch & Prentice (2002)<doi:10.1002/9781118032985>;
 Hernan et al (2001)<doi:10.1198/016214501753168154>.

Package: r-cran-cmr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-fields, r-cran-plotrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-codetools, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-cmr_1.1-1.ca2004.1_all.deb
Size: 233284
MD5sum: c026ae0e0578eff8d543b9aedc114b27
SHA1: 71844771cfe3581ac994c657e90554a3c368b45c
SHA256: 35b0cdfe367512a67b35adb7796caacfefe22eb6b384908f7e9541285498ec94
SHA512: 33b07e9af5bdcdb7dc7adb2ccf19e8ec8cc969855f886b476c8d48347bdeb9777e776bbe2601274cf58ea267cd5720247296ebb9281ca3add957f76076f7556c
Homepage: https://cran.r-project.org/package=cmR
Description: CRAN Package 'cmR' (Analysis of Cardiac Magnetic Resonance Images)
 Computes maximum response from Cardiac Magnetic Resonance Images using
 spatial and voxel wise spline based Bayesian model. This is an
 implementation of the methods described in Schmid (2011)
 <doi:10.1109/TMI.2011.2109733> "Voxel-Based Adaptive Spatio-Temporal
 Modelling of Perfusion Cardiovascular MRI". IEEE TMI 30(7) p. 1305 - 1313.

Package: r-cran-cmrutils
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2393
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron
Filename: pool/dists/focal/main/r-cran-cmrutils_1.3.1-1.ca2004.1_all.deb
Size: 1295808
MD5sum: f13e1b197ff6437ffe3caeb4fccaa338
SHA1: 661eae3d027826ba8af09b33da348d80eb355340
SHA256: e3244f880ca513b2f4f8395053e2298e9b810c62b71f385380657bb9c283b94e
SHA512: 17ace0b8e895fe0e0ff24ae99799d5aec7fa0fb5f724c593dbac48d8600ae8e96d6fa719f57667403a66d1e66a95c27ff92e086e9ee54b41e8fa4583f6a77b48
Homepage: https://cran.r-project.org/package=cmrutils
Description: CRAN Package 'cmrutils' (Misc Functions of the Center for Mathematical Research)
 A collection of useful helper routines developed by students of the Center
 for Mathematical Research, Stankin, Moscow.

Package: r-cran-cms
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cms_0.1.0-1.ca2004.1_all.deb
Size: 118820
MD5sum: 47b1d5babee0beaf17ff9fb31bca8755
SHA1: 971c5930e29f19da771cafecb339857b9310ae1a
SHA256: 6f6360ba8f90d2bab61cdb8c76775c8ec638aabc4cb4814dec7c2301da373b31
SHA512: 25eb9b557c6fdb5d23d04ba7a07650077b978ad0c61c1fb1aec4929ca58adfbdc50ece1d04819a6f1323935fb4e187e3c3394cef84584aa57cb80241d4710ddb
Homepage: https://cran.r-project.org/package=cms
Description: CRAN Package 'cms' (Calculate Medicare Reimbursement)
 Uses the 'CMS' application programming interface
 <https://dnav.cms.gov/api/healthdata> to provide users databases containing
 yearly Medicare reimbursement rates in the United States. Data can be
 acquired for the entire United States or only for specific localities.
 Currently, support is only provided for the Medicare Physician Fee Schedule,
 but support will be expanded for other 'CMS' databases in future versions.

Package: r-cran-cmsaf
Architecture: all
Version: 3.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cmsafops, r-cran-cmsafvis, r-cran-colourpicker, r-cran-colorspace, r-cran-fnn, r-cran-maps, r-cran-ncdf4, r-cran-r.utils, r-cran-raster, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-data.table, r-cran-searchtrees, r-cran-xml2
Suggests: r-cran-rworldxtra, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmsaf_3.5.2-1.ca2004.1_all.deb
Size: 132216
MD5sum: 00af8cf5e34e6045f688f940531d803e
SHA1: 8f08c8c13e6d4dec99b74e16b6fe80c7a36069bc
SHA256: 421aebb68be443f55506b39db565c2a16ad42b5d6da7ef0ff317d1f2e28585c4
SHA512: bd02326301676fae4a30ea457d74db0bcc6480cdd9ef407d8ddcfd29e35d195aeac2f6069d3d75c744b4e24810cd92d944694a44e1fa8c0d99f18af4e40347da
Homepage: https://cran.r-project.org/package=cmsaf
Description: CRAN Package 'cmsaf' (A Toolbox for CM SAF NetCDF Data)
 The Satellite Application Facility on Climate Monitoring (CM SAF) is a
 ground segment of the European Organization for the Exploitation of
 Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite
 Application Facilities. The CM SAF contributes to the sustainable monitoring
 of the climate system by providing essential climate variables related to
 the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is
 a joint cooperation of eight National Meteorological and Hydrological
 Services.  The 'cmsaf' R-package includes a 'shiny' based interface for an
 easy application of the 'cmsafops' and 'cmsafvis' packages - the CM SAF R
 Toolbox. The Toolbox offers an easy way to prepare, manipulate, analyse and
 visualize CM SAF NetCDF formatted data.  Other CF conform NetCDF data with
 time, longitude and latitude dimension should be applicable, but there is no
 guarantee for an error-free application.  CM SAF climate data records are
 provided for free via (<https://wui.cmsaf.eu/safira>).  Detailed information
 and test data are provided on the CM SAF webpage
 (<http://www.cmsaf.eu/R_toolbox>).

Package: r-cran-cmsafops
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-fields, r-cran-fnn, r-cran-ncdf4, r-cran-rainfarmr, r-cran-raster, r-cran-progress, r-cran-trend, r-cran-searchtrees
Suggests: r-cran-cmsaf, r-cran-cmsafvis, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cmsafops_1.4.1-1.ca2004.1_all.deb
Size: 1073708
MD5sum: 0b6b244f46052dfa4103821f64b89185
SHA1: b275ded1ac8ad1543c59a03d49ec1a8e3dc911ff
SHA256: 6af170f5124ca019036bcf9dd6a8ba8e647fb8fae962fb427222f2941b88cb74
SHA512: 6521f640815178fd656a84dd767d3db1af6e438c382e7113d6536eb97991c92f4124fd4bb3bff99c3eaae52a342127819d801254efd855ebbf48c289039b220e
Homepage: https://cran.r-project.org/package=cmsafops
Description: CRAN Package 'cmsafops' (Tools for CM SAF NetCDF Data)
 The Satellite Application Facility on Climate Monitoring (CM SAF) is a
 ground segment of the European Organization for the Exploitation of
 Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite
 Application Facilities. The CM SAF contributes to the sustainable monitoring
 of the climate system by providing essential climate variables related to
 the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is
 a joint cooperation of eight National Meteorological and Hydrological
 Services.  The 'cmsafops' R-package provides a collection of R-operators for
 the analysis and manipulation of CM SAF NetCDF formatted data. Other CF
 conform NetCDF data with time, longitude and latitude dimension should be
 applicable, but there is no guarantee for an error-free application.  CM SAF
 climate data records are provided for free via
 (<https://wui.cmsaf.eu/safira>).  Detailed information and test data are
 provided on the CM SAF webpage (<http://www.cmsaf.eu/R_toolbox>).

Package: r-cran-cmsafvis
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 894
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cmsafops, r-cran-colorspace, r-cran-countrycode, r-cran-fields, r-cran-mapproj, r-cran-maps, r-cran-ncdf4, r-cran-png, r-cran-progress, r-cran-raster, r-cran-sf, r-cran-sp, r-cran-rcolorbrewer, r-cran-rastervis, r-cran-gridextra
Suggests: r-cran-animation, r-cran-fnn, r-cran-rainfarmr, r-cran-rnaturalearth, r-cran-searchtrees, r-cran-spelling, r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-cmsafvis_1.2.9-1.ca2004.1_all.deb
Size: 780272
MD5sum: 572a37a04a8261f8c026487b6e0bed87
SHA1: 179dabd7788c8228c1b5df66dcf98b0f5eb25e9e
SHA256: 2658ffcc186af7abf5097c7214da46b8f67895ba85734dd37e6b485b2ca0d9b1
SHA512: 32fa8e0d3db7c49b82da6a2c6ae887497735bd171cf5344176056fec31f378ccd7b6b807573456252aa5e1caba4089415192e6f626a2c81e832d6fac8f88bcf7
Homepage: https://cran.r-project.org/package=cmsafvis
Description: CRAN Package 'cmsafvis' (Tools to Visualize CM SAF NetCDF Data)
 The Satellite Application Facility on Climate Monitoring (CM SAF) is a
 ground segment of the European Organization for the Exploitation of
 Meteorological Satellites (EUMETSAT) and one of EUMETSATs Satellite
 Application Facilities. The CM SAF contributes to the sustainable monitoring
 of the climate system by providing essential climate variables related to
 the energy and water cycle of the atmosphere (<https://www.cmsaf.eu>). It is
 a joint cooperation of eight National Meteorological and Hydrological
 Services.  The 'cmsafvis' R-package provides a collection of R-operators for
 the analysis and visualization of CM SAF NetCDF data.  CM SAF climate data
 records are provided for free via (<https://wui.cmsaf.eu/safira>).  Detailed
 information and test data are provided on the CM SAF webpage
 (<http://www.cmsaf.eu/R_toolbox>).

Package: r-cran-cmshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-shinymatrix, r-cran-matrix, r-cran-epitools, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-cmshiny_0.1.0-1.ca2004.1_all.deb
Size: 69428
MD5sum: 2a934ea2a22a72987dba9053b1306466
SHA1: 645a5b6f5f754dc57e39415f0465ec6f6b2e2e1a
SHA256: 269e1489c6be04e30997abe077264d91ac48943dfd1f3e87b5fde1b34c58262f
SHA512: 7f0fca800b5a9f064accea292adf9eb5327515edada6f53f05a4a4f2ef8b5770be569dafba9bcc18e3c9f60ba96da417dd64dc12c38db9bc6d66a506031209be
Homepage: https://cran.r-project.org/package=CMShiny
Description: CRAN Package 'CMShiny' (Interactive Document for Working with Confusion Matrix)
 An interactive document on the topic of confusion matrix analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://predanalyticssessions1.shinyapps.io/ConfusionMatrixShiny/>.

Package: r-cran-cmstatr
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1531
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-ksamples, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-cmstatr_0.10.0-1.ca2004.1_all.deb
Size: 833700
MD5sum: 209bf946e16859b42721c88b06059be8
SHA1: ff233082713fc60d89b42294ce68c33abe83c71a
SHA256: 34c6a8d5f3a80508b0e45b0a97633b4f8e1e9d13e5c407152c134f588519689a
SHA512: ddb2245ae3965be1b4a7a2682a508462aaf1ea3b8cf7186976d24ae2817979298df13f6d2a18f3e711d6fd2c554d4287a93018c5100d7e0674bbdd69ca4f5ed7
Homepage: https://cran.r-project.org/package=cmstatr
Description: CRAN Package 'cmstatr' (Statistical Methods for Composite Material Data)
 An implementation of the statistical methods commonly used for advanced
 composite materials in aerospace applications.  This package focuses on
 calculating basis values (lower tolerance bounds) for material strength
 properties, as well as performing the associated diagnostic tests. This
 package provides functions for calculating basis values assuming several
 different distributions, as well as providing functions for non-parametric
 methods of computing basis values. Functions are also provided for testing
 the hypothesis that there is no difference between strength and modulus data
 from an alternate sample and that from a "qualification" or "baseline"
 sample.  For a discussion of these statistical methods and their use, see
 the Composite Materials Handbook, Volume 1 (2012, ISBN: 978-0-7680-7811-4).
 Additional details about this package are available in the paper by
 Kloppenborg (2020, <doi:10.21105/joss.02265>).

Package: r-cran-cmtest
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-censreg, r-cran-aer, r-cran-knitr, r-cran-rmarkdown, r-cran-maxlik, r-cran-bookdown, r-cran-tobit1
Filename: pool/dists/focal/main/r-cran-cmtest_0.1-2-1.ca2004.1_all.deb
Size: 284592
MD5sum: ac5058e5976d1c6c539e3cf8dc8f7a58
SHA1: f8e0964247f9421b5c53af601bb7269046fda26a
SHA256: b31a89531e39466b7fadf7918aff6c3f23c89a5c2a2da57d0daac11735c72ed0
SHA512: 604e1964a13c51e188e0b7eb1d21e070fe12a3cba16baae56b27111c5f41af8aef18e12da84c05249eaff6bcbd4f9ac753f44e498bca6667f3927de3ffebdcf7
Homepage: https://cran.r-project.org/package=cmtest
Description: CRAN Package 'cmtest' (Conditional Moments Test)
 Conditional moments test, as proposed by Newey (1985) <doi:10.2307/1911011 >
 and Tauchen (1985) <doi:10.1016/0304-4076(85)90149-6>, useful to detect
 specification violations for models estimated by maximum likelihood. Methods
 for probit and tobit models are provided.

Package: r-cran-cmvnorm
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emulator, r-cran-elliptic
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cmvnorm_1.0-7-1.ca2004.1_all.deb
Size: 231832
MD5sum: ebe7e7aceb1daf12eda53ee2003756af
SHA1: 4792b2dbd7bdc78def17bfb34a79e1b19a89814f
SHA256: 090f178df2b3669f23489d7800aef9722954af56a83a493941420eda6bfa6d27
SHA512: 398b3828a3c9b7e5745543523503ff688a3004a7f8828703dc96805f7325d2139a6e608f1dbf23b24f5708de0dbf857e17b54953887e2e76dd9b3e9a64303225
Homepage: https://cran.r-project.org/package=cmvnorm
Description: CRAN Package 'cmvnorm' (The Complex Multivariate Gaussian Distribution)
 Various utilities for the complex multivariate Gaussian distribution and
 complex Gaussian processes.

Package: r-cran-cnaim
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3462
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-r2d3, r-cran-ggplot2, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-htmltools, r-cran-readxl, r-cran-testthat, r-cran-rmarkdown, r-cran-widgetframe
Filename: pool/dists/focal/main/r-cran-cnaim_2.1.4-1.ca2004.1_all.deb
Size: 2510168
MD5sum: fc8c39442092401c24468677e7d36575
SHA1: ba07f89263a34631440201225d750d13d4ee1dba
SHA256: 815a0f37d32fd888fde42b658b8aff5246a4394b3731de45ad0f2f0eccad8b8c
SHA512: c841217c41c279742d7fb4569ed104edeff8851c5ec75e83e84f3b31ce746ff351da9766accc32b6898d1a2f0d9c62c1bc77ac8fd044ab07397c3ccec1b6c1be
Homepage: https://cran.r-project.org/package=CNAIM
Description: CRAN Package 'CNAIM' (Common Network Asset Indices Methodology (CNAIM))
 Implementation of the CNAIM standard in R. Contains a series of algorithms
 which determine the probability of failure, consequences of failure and
 monetary risk associated with electricity distribution companies' assets
 such as transformers and cables. Results are visualized in an
 easy-to-understand risk matrix.

Package: r-cran-cnbdistr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hypergeo
Suggests: r-cran-rmutil, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cnbdistr_1.0.1-1.ca2004.1_all.deb
Size: 59036
MD5sum: bd17e0ad9bb3778513ec49ecdc05f8c3
SHA1: 05de23f0f730e3e1860b925ae366f48cb4ccdb2e
SHA256: 1408ae6210d80c25a45151ac662d0fa44e0c5a84a922e4db9d6d3e1f1b6b7a30
SHA512: ef92b8660c766a8f84faf56b35bacfe673dc05d58c3df315eb2b41e70800c63a9bada6fe666cb1891479ab48875634f6bb343a8412e178d0f7e1c134fc47c94b
Homepage: https://cran.r-project.org/package=cnbdistr
Description: CRAN Package 'cnbdistr' (Conditional Negative Binomial Distribution)
 Provided R functions for working with the Conditional Negative Binomial
 distribution.

Package: r-cran-cncagui
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rgl, r-cran-tkrplot, r-cran-tcltk2, r-cran-shapes, r-cran-plotrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cncagui_1.1-1.ca2004.1_all.deb
Size: 269868
MD5sum: 7b82f17a56c63a9e4c2c6ba44dc4baa0
SHA1: 03efc6cc66319abaa430081e4afc680230fe59e7
SHA256: 9e797893bc2124a31338eeaf5b34c91b7bddd0708f05b4fa07112fc7107fedb9
SHA512: 3282b61bfd622b9fa1b2353fd463bc812c4d6d69a64b391f0726ce689b00566c19651c177ad4545f719b58fa9cb9d5d6b39e15887887ad64da5870e037e9a79d
Homepage: https://cran.r-project.org/package=cncaGUI
Description: CRAN Package 'cncaGUI' (Canonical Non-Symmetrical Correspondence Analysis in R)
 A GUI with which users can construct and interact with Canonical
 Correspondence Analysis and Canonical Non-Symmetrical Correspondence
 Analysis and provides inferential results by using Bootstrap Methods.

Package: r-cran-cnd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cli, r-cran-here, r-cran-pkgload, r-cran-rcmdcheck, r-cran-roxygen2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cnd_0.1.0-1.ca2004.1_all.deb
Size: 161264
MD5sum: 74888e3d70ddbbf05354f249d734dcb5
SHA1: 60018baa1b45b4270c7568e69562df928beeb5d9
SHA256: 2a1919f4b3392823047f7fb6ae792bc03d22f7d73aad087dd5b72e1ac82ea75c
SHA512: 06925534aa3fda358a334a093f09e66dfeec6f9cae31b734505b4701e7f29003da6b5dbb59b8f20f7e4c212a423ffca2915b29d03d4e97a73fc809f8768869d4
Homepage: https://cran.r-project.org/package=cnd
Description: CRAN Package 'cnd' (Create and Register Conditions)
 An interface for creating new condition generators objects.  Generators are
 special functions that can be saved in registries and linked to other
 functions.  Utilities for documenting your generators, and new conditions is
 provided for package development.

Package: r-cran-cnid
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cnid_2.1.1-1.ca2004.1_all.deb
Size: 76700
MD5sum: 9d30dda9341220ad2adad5440f7b3b0e
SHA1: a3616711ddb6bcdedead7ada0d43f809e40e547c
SHA256: b35943e6cb972c9fcf295498069c323dbac65e6afd28208e77f45f83f9917241
SHA512: d9206509c251ac88c6f9b25a474e2af1b285e735c349466a83dd302e932cbb336ad6e4620f2716233592c936f9819109755b0ce106fbfb89d24ef02a57932281
Homepage: https://cran.r-project.org/package=CNID
Description: CRAN Package 'CNID' (Get Basic Information from Chinese ID Number)
 The Chinese ID number contains a lot of information, this package helps you
 get the region, date of birth, age, age based on year, gender, zodiac,
 constellation information from the Chinese ID number.

Package: r-cran-cnltreg
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adlift, r-cran-misctools, r-cran-nlt
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-cnltreg_0.1-2-1.ca2004.1_all.deb
Size: 63360
MD5sum: 44212bdc117d4ae806d9bd80948e3de5
SHA1: 465ad188e032014ac04fd57cc19001685dc987a7
SHA256: 57861925bba1204e7e32ff21bafcf04f4a6b777d96bd1fd57204eb31078cc4a7
SHA512: eb3ecc34b6de573e05c7aef2158cdc3731d0578d42ce80ca6999b78fb26d71cff9418d4830ab3494f6227691b6cd9698dfebc47d25d3a68c4d5549c3175f734d
Homepage: https://cran.r-project.org/package=CNLTreg
Description: CRAN Package 'CNLTreg' (Complex-Valued Wavelet Lifting for Signal Denoising)
 Implementations of recent complex-valued wavelet shrinkage procedures for
 smoothing irregularly sampled signals, see Hamilton et al (2018)
 <doi:10.1080/00401706.2017.1281846>.

Package: r-cran-cnlttsa
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adlift, r-cran-nlt, r-cran-cnltreg, r-cran-fields
Filename: pool/dists/focal/main/r-cran-cnlttsa_0.1-2-1.ca2004.1_all.deb
Size: 139328
MD5sum: 8bb4c19f1e4973c859403a5ccf19aa8d
SHA1: a120e7c14c2ba52c6be991c6d5e44fe15b35c777
SHA256: 2d9a365c65da109c5034a09d2f8f3528ef871ad5bcd9e9f54e1f471a5ae05e46
SHA512: dbe08e8b5b58fa5f0f3e4ada1f7e18edc7aba5ccbe9a2280d86dda3e833a31ecdba3f0222562aad4bbeb0815987c29bf2653c387746b4a4336fad1eb32926bb6
Homepage: https://cran.r-project.org/package=CNLTtsa
Description: CRAN Package 'CNLTtsa' (Complex-Valued Wavelet Lifting for Univariate and Bivariate TimeSeries Analysis)
 Implementations of recent complex-valued wavelet spectral procedures for
 analysis of irregularly sampled signals, see Hamilton et al (2018)
 <doi:10.1080/00401706.2017.1281846>.

Package: r-cran-cnmap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 902
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cnmap_0.1.0-1.ca2004.1_all.deb
Size: 341728
MD5sum: c7cdb721506bd98a433b5ecb9447778f
SHA1: 2024bfeaa645474cb975a375bb7b9e881e5d352f
SHA256: 4a7c88a7934512d84b2ee5bb18f489e82af46ce5d4e5c709cf2702c52f6212fe
SHA512: 0faf64da773958e882f64284ce8257c8236be42918c1020deecabae11a8b4ea89600317212be06eec143660d969eaab167595ed573f270ccf1b26bcbdb0391c7
Homepage: https://cran.r-project.org/package=cnmap
Description: CRAN Package 'cnmap' (China Map Data from AutoNavi Map)
 According to the code or the name of the administrative division at the
 county level and above provided by the Ministry of Civil Affairs of the
 People's Republic of China in 2022
 (<https://www.mca.gov.cn/mzsj/xzqh/2022/202201xzqh.html>), get the map file
 online from the website of AutoNavi Map
 (<http://datav.aliyun.com/portal/school/atlas/area_selector>).

Package: r-cran-cnogpro
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr
Filename: pool/dists/focal/main/r-cran-cnogpro_1.1-1.ca2004.1_all.deb
Size: 233156
MD5sum: c6fb74fc8e94f0412aadef6f0847badf
SHA1: ed7d87d3d61865326783df369a03cb658d8d48a8
SHA256: 2dd21815057d5b7133957f20b9a67009742dcd3a15fd70a1eb6e98031a106a76
SHA512: fb0115885604f91319976af188ae1f24842c302b14b9474085a9bc2a94fb31eb837e7c4687507ef0525845cd1cb360b7efb0c961f19190496e37f2ece060188c
Homepage: https://cran.r-project.org/package=CNOGpro
Description: CRAN Package 'CNOGpro' (Copy Numbers of Genes in prokaryotes)
 Methods for assigning copy number states and breakpoints in resequencing
 experiments of prokaryotic organisms.

Package: r-cran-cnorm
Architecture: all
Version: 3.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1999
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-leaps, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-shiny, r-cran-foreign, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cnorm_3.4.1-1.ca2004.1_all.deb
Size: 1509024
MD5sum: 018d266813e794e188d062378adcb5f2
SHA1: 4a9a1d684392f973698d578360649314b9922d81
SHA256: 0cf874aaffbb118db1326ae9924370f99d9d765955bfe4f9ed85c02965801c42
SHA512: 09456f9fcac3cc2836cdfd4797b80773350fb694bd6cf5fd0ad827140b1bd412d0406b1aaa83c71abe05cf154e2e496d3d9946fda694fbaca5d168eb444f6cd0
Homepage: https://cran.r-project.org/package=cNORM
Description: CRAN Package 'cNORM' (Continuous Norming)
 A comprehensive toolkit for generating continuous test norms in
 psychometrics and biometrics, and analyzing model fit. The package offers
 both distribution-free modeling using Taylor polynomials and parametric
 modeling using the beta-binomial distribution. Originally developed for
 achievement tests, it is applicable to a wide range of mental, physical, or
 other test scores dependent on continuous or discrete explanatory variables.
 The package provides several advantages: It minimizes deviations from
 representativeness in subsamples, interpolates between discrete levels of
 explanatory variables, and significantly reduces the required sample size
 compared to conventional norming per age group. cNORM enables graphical and
 analytical evaluation of model fit, accommodates a wide range of scales
 including those with negative and descending values, and even supports
 conventional norming. It generates norm tables including confidence
 intervals. It also includes methods for addressing representativeness issues
 through Iterative Proportional Fitting.

Package: r-cran-cnprep
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4077
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mclust, r-cran-rlecuyer
Filename: pool/dists/focal/main/r-cran-cnprep_2.2-1.ca2004.1_all.deb
Size: 4141852
MD5sum: d50f41177c5fb278991594f0fab7a191
SHA1: 813a9379a5418eeab356b9bcdf5b05d4c58e8865
SHA256: 12477a4a466de38845cc20ec7248a4e1ec4b88c89bac666d87b9232d416a95c6
SHA512: e310c72c42562e7a37ee4e0fed15b00268b7edc52bac02d0bad625a40e94d470c3a7366847fde5d5051724ce44e8b6fbc706875bfdf635f0f7443887eafd2dd8
Homepage: https://cran.r-project.org/package=CNprep
Description: CRAN Package 'CNprep' (Pre-Process DNA Copy Number (CN) Data for Detection of CN Events)
 DNA copy number data evaluation using both their initial form (copy number
 as a noisy function of genomic position) and their approximation by a
 piecewise-constant function (segmentation), for the purpose of identifying
 genomic regions where the copy number differs from the norm.

Package: r-cran-cnps
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-e1071
Filename: pool/dists/focal/main/r-cran-cnps_1.0.0-1.ca2004.1_all.deb
Size: 127036
MD5sum: e06ae35ff5b0ddcb80a83f8aaf37247d
SHA1: 398a5ed5e9a66faaa52cbaf9ac27b5760b6ce385
SHA256: 3bdee5b133d1888207e98acac39a689673746ba28bced69fd92da0e02de09fb3
SHA512: 2f92001f544bedf1708cc7a264deb78a3abc33cb213a500ea354f79e2e72f7c9ee88c01d1c641efa573ed2233161028c0fd759b712cf43ff6cac618ddec638a3
Homepage: https://cran.r-project.org/package=CNPS
Description: CRAN Package 'CNPS' (Nonparametric Statistics)
 We unify various nonparametric hypothesis testing problems in a framework of
 permutation testing, enabling hypothesis testing on multi-sample,
 multidimensional data and contingency tables. Most of the functions
 available in the R environment to implement permutation tests are single
 functions constructed for specific test problems; to facilitate the use of
 the package, the package encapsulates similar tests in a categorized manner,
 greatly improving ease of use.  We will all provide functions for
 self-selected permutation scoring methods and self-selected p-value
 calculation methods (asymptotic, exact, and sampling). For two-sample tests,
 we will provide mean tests and estimate drift sizes; we will provide tests
 on variance; we will provide paired-sample tests; we will provide
 correlation coefficient tests under three measures. For multi-sample
 problems, we will provide both ordinary and ordered alternative test
 problems. For multidimensional data, we will implement multivariate means
 (including ordered alternatives) and multivariate pairwise tests based on
 four statistics; the components with significant differences are also
 calculated. For contingency tables, we will perform permutation chi-square
 test or ordered alternative.

Package: r-cran-cns
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cns_0.1.0-1.ca2004.1_all.deb
Size: 17752
MD5sum: 8aec9b672d342e0e86f45a7da078e026
SHA1: 99ce66de4650c2335b11192955548de73429e4ad
SHA256: 7137e1863c3b8ca629a591a0b45dd734b7ca72fe71b1d57bc69764f7b77cf35a
SHA512: e6fbfc741ce62111bfeadb7691cd5e29ebef8f3ff5bf5f2d2b50a913aa4df61be654b203e30ced9e2f2a9269f8b2fc4e6769211a18bc76b2ef3a7daff9d2948c
Homepage: https://cran.r-project.org/package=cns
Description: CRAN Package 'cns' (Color Naming System)
 The Color Naming System was an early grammar of color that is more user
 friendly than `RGB`, by Berk, Brownstone and Kaufman (1982)
 <doi:10.1109/MCG.1982.1674223>.

Package: r-cran-cnvreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-glmnet, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-rlang, r-cran-tidyverse, r-cran-markdown, r-cran-kableextra, r-cran-patchwork, r-cran-ggplot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cnvreg_1.0-1.ca2004.1_all.deb
Size: 536384
MD5sum: 4370cef60c1d2ce656cbbb2f833f00ce
SHA1: e3b2cd2425d935005ba86fcf0e051b42a68e4dcc
SHA256: 318df5f4453303302e891370632e8dd8b59be66cf53cf6c558f1278ddcd5cf43
SHA512: 9518741d6febdbe1a976cb4ad33e40b8ddca1f0fdb872e00b1809a58235ca3432f631420892608d4d96c4f32af876ad40dd50ff10ee83bad6588cce9eb1ad1b2
Homepage: https://cran.r-project.org/package=CNVreg
Description: CRAN Package 'CNVreg' (CNV-Profile Regression for Copy Number Variants AssociationAnalysis with Penalized Regression)
 Performs copy number variants association analysis with Lasso and Weighted
 Fusion penalized regression.  Creates a "CNV profile curve" to represent an
 individual’s CNV events across a genomic region so to capture variations in
 CNV length and dosage. When evaluating association, the CNV profile curve is
 directly used as a predictor in the regression model, avoiding the need to
 predefine CNV loci. CNV profile regression estimates CNV effects at each
 genome position, making the results comparable across different studies. The
 penalization encourages sparsity in variable selection with a Lasso penalty
 and encourages effect smoothness between consecutive CNV events with a
 weighted fusion penalty, where the weight controls the level of smoothing
 between adjacent CNVs.  For more details, see Si (2024)
 <doi:10.1101/2024.11.23.624994>.

Package: r-cran-cnvscope
Architecture: all
Version: 3.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6702
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-reshape2, r-cran-magrittr, r-cran-jointseg, r-cran-shiny, r-cran-rcurl, r-cran-foreach, r-bioc-genomicinteractions, r-cran-matrix, r-cran-openimager, r-bioc-biomart, r-cran-matrixstats, r-cran-plyr, r-cran-data.table, r-cran-dplyr, r-cran-doparallel, r-cran-stringr, r-bioc-rtracklayer, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-remotes, r-cran-pwr, r-bioc-complexheatmap, r-cran-rmarkdown, r-cran-hicseg, r-cran-igraph, r-cran-visnetwork, r-cran-circlize, r-cran-plotly, r-bioc-interactionset, r-bioc-genomicranges, r-bioc-genomicfeatures, r-bioc-iranges, r-cran-rslurm, r-cran-shinythemes, r-cran-shinycssloaders, r-cran-dt, r-cran-logging, r-cran-heatmaply, r-bioc-s4vectors, r-cran-biocmanager, r-cran-shinyjs, r-cran-htmltools, r-cran-htmlwidgets, r-bioc-genomeinfodb, r-cran-tibble, r-cran-smoothie
Filename: pool/dists/focal/main/r-cran-cnvscope_3.7.2-1.ca2004.1_all.deb
Size: 3969664
MD5sum: 4aa860e1f57bc31c10a9de083d7f8d47
SHA1: 7e5cbe3d059272fd33b646be5bd2a84cd96d4558
SHA256: c463bd6d0b07b381cd7c97f1c32e9fb17f3f84fe079e2b96b9729b526d1f2891
SHA512: 8efd62c0d6e208feb9acd0c47e6410249e81e7081c7b9ba1bd5d56afd842bdd6a7862b2cc235643007eb5f40637f573336143ffe8c70fae23509d7ca74d44099
Homepage: https://cran.r-project.org/package=CNVScope
Description: CRAN Package 'CNVScope' (A Versatile Toolkit for Copy Number Variation Relationship DataAnalysis and Visualization)
 Provides the ability to create interaction maps, discover CNV map domains
 (edges), gene annotate interactions, and create interactive visualizations
 of these CNV interaction maps.

Package: r-cran-coalitions
Architecture: all
Version: 0.6.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-checkmate, r-cran-gtools, r-cran-rvest, r-cran-xml2, r-cran-jsonlite, r-cran-rcurl, r-cran-rlang, r-cran-magrittr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-coalitions_0.6.24-1.ca2004.1_all.deb
Size: 174024
MD5sum: cc40e822009a282d9157537b80d06215
SHA1: d8270d42fa5ea30e8bc0a84ababc503e9dcd31a6
SHA256: a78ac4a53aef06d5beab7a3473cbdfa96bdbb5c7948d32c576c9415fe1091dc6
SHA512: 533f6bc2cf296ceece2d341663b7d57a69f8069332e7b69fbd036b18fab351563d93d06413fc03403c5a93dcfc58adab3ef0e460ce6f3916ce214f9f7e178559
Homepage: https://cran.r-project.org/package=coalitions
Description: CRAN Package 'coalitions' (Bayesian "Now-Cast" Estimation of Event Probabilities inMulti-Party Democracies)
 An implementation of a Bayesian framework for the opinion poll based
 estimation of event probabilities in multi-party electoral systems (Bender
 and Bauer (2018) <doi:10.21105/joss.00606>).

Package: r-cran-coarsedatatools
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mcmcpack
Suggests: r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-coarsedatatools_0.7.2-1.ca2004.1_all.deb
Size: 249296
MD5sum: e701550cd18d3dcb84346dd066f5aad5
SHA1: 118425d3504d03081429eb832546b3a323738a80
SHA256: ad9ed28c48b250c0dffe7ddd6aff539af0a168cbab4c5876039295e68f7612ec
SHA512: d735884b796f8203df7a60e82e751d1a86f42879aa2681909504b87dbbc0f142a461494a95b1fba5f0d4a2e04d4ed507fa149b3180311e7075b8df180c8003b6
Homepage: https://cran.r-project.org/package=coarseDataTools
Description: CRAN Package 'coarseDataTools' (Analysis of Coarsely Observed Data)
 Functions to analyze coarse data.  Specifically, it contains functions to
 (1) fit parametric accelerated failure time models to interval-censored
 survival time data, and (2) estimate the case-fatality ratio in scenarios
 with under-reporting.  This package's development was motivated by
 applications to infectious disease: in particular, problems with estimating
 the incubation period and the case fatality ratio of a given disease.
 Sample data files are included in the package. See Reich et al. (2009)
 <doi:10.1002/sim.3659>, Reich et al. (2012)
 <doi:10.1111/j.1541-0420.2011.01709.x>, and Lessler et al. (2009)
 <doi:10.1016/S1473-3099(09)70069-6>.

Package: r-cran-coastlinefd
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4207
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-tidyr, r-cran-fields, r-cran-readxl, r-cran-writexl, r-cran-ggplot2, r-cran-progress, r-cran-sfheaders
Filename: pool/dists/focal/main/r-cran-coastlinefd_1.1.2-1.ca2004.1_all.deb
Size: 915788
MD5sum: 351d0b150985ba3934dc65c5ce4440e0
SHA1: 4b0184d4f0986b0d5109b0e1486c5fb4f1b55b86
SHA256: 5ce157c43be43c1067fd05b328142e6a37784296e783b54218f21af2605df8a1
SHA512: 22c766dfe59ad71abcd45691da67e3206ca585b7f79a2f83d28bdb8fcf521769bcba46c0d8e96e4ee37f6b6d0ddfa870e705f7c6e6bd2a1e06fcc972f519c4c5
Homepage: https://cran.r-project.org/package=CoastlineFD
Description: CRAN Package 'CoastlineFD' (Calculation of the Fractal Dimension of a Coastline)
 Calculating the fractal dimension of a coastline using the boxes and
 dividers methods.

Package: r-cran-coat
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-partykit
Suggests: r-cran-methcomp
Filename: pool/dists/focal/main/r-cran-coat_0.2.1-1.ca2004.1_all.deb
Size: 62156
MD5sum: 47ec6324f7a8f63ea42afb8909673071
SHA1: 5cc007d7b3199849c76a55491d51b7368f571587
SHA256: b09f5ace2c40e7c73d3bb6d962cd12e5e2b7084baea586578504c484bf966d11
SHA512: 6aef28fbcfae9fb8d1efe74c6fb7dcafa25e3b64b62d733d27a16638fca48a1886e57be788300d1f472593b148fb9d223ce80af710e2464093f53a0a037b4ae4
Homepage: https://cran.r-project.org/package=coat
Description: CRAN Package 'coat' (Conditional Method Agreement Trees (COAT))
 Agreement of continuously scaled measurements made by two techniques,
 devices or methods is usually evaluated by the well-established Bland-Altman
 analysis or plot. Conditional method agreement trees (COAT), proposed by
 Karapetyan, Zeileis, Henriksen, and Hapfelmeier (2023)
 <doi:10.48550/arXiv.2306.04456>, embed the Bland-Altman analysis in the
 framework of recursive partitioning to explore heterogeneous method
 agreement in dependence of covariates. COAT can also be used to perform a
 Bland-Altman test for differences in method agreement.

Package: r-cran-cobalt
Architecture: all
Version: 4.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3891
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-gridextra, r-cran-chk, r-cran-rlang, r-cran-crayon
Suggests: r-cran-matchit, r-cran-weightit, r-cran-twang, r-cran-twangcontinuous, r-cran-matching, r-cran-optmatch, r-cran-ebal, r-cran-cbps, r-cran-designmatch, r-cran-optweight, r-cran-mice, r-cran-matchthem, r-cran-cem, r-cran-sbw, r-cran-gbm, r-cran-brglm2, r-cran-caret, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cobalt_4.6.0-1.ca2004.1_all.deb
Size: 2739900
MD5sum: 977cfcc8db931b14b047c6341d866597
SHA1: 52952fad95ff4e85f0690a1a0c33a56e83750847
SHA256: fc517f96feb542792e0c79cad1a39051795a0d11bc5ee70451a445fda209b2a4
SHA512: 62402c86c73d23b3041093db1f1828fc21f03311dce42aba7d10b903661c5ba8ea5972377302780d2f8637378a86651df4704dc25dc7907e067e2b093da3ef51
Homepage: https://cran.r-project.org/package=cobalt
Description: CRAN Package 'cobalt' (Covariate Balance Tables and Plots)
 Generate balance tables and plots for covariates of groups preprocessed
 through matching, weighting or subclassification, for example, using
 propensity scores. Includes integration with 'MatchIt', 'WeightIt',
 'MatchThem', 'twang', 'Matching', 'optmatch', 'CBPS', 'ebal', 'cem', 'sbw',
 and 'designmatch' for assessing balance on the output of their preprocessing
 functions. Users can also specify data for balance assessment not generated
 through the above packages. Also included are methods for assessing balance
 in clustered or multiply imputed data sets or data sets with multi-category,
 continuous, or longitudinal treatments.

Package: r-cran-cobenrich
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tmvtnorm
Filename: pool/dists/focal/main/r-cran-cobenrich_1.0.1-1.ca2004.1_all.deb
Size: 27524
MD5sum: d12be2f8f6834b2da0527e8c319da099
SHA1: bce54d35b45848e9769cad5c720f153455a09c74
SHA256: f0502fa1d868f05cbd14c1e8f38b1ec8b6570e4720b641b790a25fb8858f32ad
SHA512: e41e6248a6c308b61999d2787d051ccae83c2e434568dcfe1ecb1930c3427f5ab490598a4166bba8ac9e83c201aeb39f833aeb468516a932627c8cf3bb282c2b
Homepage: https://cran.r-project.org/package=cobenrich
Description: CRAN Package 'cobenrich' (Using Multiple Continuous Biomarkers for Patient Enrichment inTwo-Stage Clinical Designs)
 Enrichment strategies play a critical role in modern clinical trial design,
 especially as precision medicine advances the focus on patient-specific
 efficacy. Recent developments in enrichment design have introduced biomarker
 randomness and accounted for the correlation structure between treatment
 effect and biomarker, resulting in a two-stage threshold enrichment design.
 We propose novel two-stage enrichment designs capable of handling two or
 more continuous biomarkers.  See Zhang, F. and Gou, J. (2025). Using
 multiple biomarkers for patient enrichment in two-stage clinical designs.
 Technical Report.

Package: r-cran-cobiclust
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-cluster, r-cran-testthat
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cobiclust_0.1.2-1.ca2004.1_all.deb
Size: 58924
MD5sum: c2f0dc8a94499375380716797a9cd982
SHA1: fef18e9ab27480a906eeab7b95928652d638804d
SHA256: 5d61a624e3b11b6554b7b4daea6bacdb8c50895e6b0e87c45d8e2999c2fb08b4
SHA512: 94d090cc7993e86e3f7e27d1be22c14a417d3f7edc3f6b86ef2514aa971c5245446e8ca5cafd4119b89f905bab273611df357b6c4eec19f76709cdda5d36e647
Homepage: https://cran.r-project.org/package=cobiclust
Description: CRAN Package 'cobiclust' (Biclustering via Latent Block Model Adapted to OverdispersedCount Data)
 Implementation of a probabilistic method for biclustering adapted to
 overdispersed count data. It is a Gamma-Poisson Latent Block Model.  It also
 implements two selection criteria in order to select the number of
 biclusters.

Package: r-cran-coca
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-cluster, r-cran-fpc, r-cran-glmnet, r-cran-matrix, r-cran-nnet, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-sparcl
Suggests: r-cran-knitr, r-cran-mclust, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coca_1.1.0-1.ca2004.1_all.deb
Size: 390504
MD5sum: d52880651da0d844e412e6b1d652359f
SHA1: 8f9c608a9f6b7146b5e86eb42c758df6e4bfb86a
SHA256: a93cca45f90633a7c6f11ab1a204ff0c9be8eb23c29a094579be38bedb9efc7a
SHA512: 925ccc1b79ae935577a8eadb3f40c53e11d97b8dddb0c92e85c41bcf575c4173040168b9913272fe8fdebe8c8c8228998ee6521ba44602ab5f000b6ad0deebb4
Homepage: https://cran.r-project.org/package=coca
Description: CRAN Package 'coca' (Cluster-of-Clusters Analysis)
 Contains the R functions needed to perform Cluster-Of-Clusters Analysis
 (COCA) and Consensus Clustering (CC). For further details please see Cabassi
 and Kirk (2020) <doi:10.1093/bioinformatics/btaa593>.

Package: r-cran-cocktailapp
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2264
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2, r-cran-magrittr, r-cran-ggtern, r-cran-forcats, r-cran-dt
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cocktailapp_0.2.3-1.ca2004.1_all.deb
Size: 2102228
MD5sum: ccf0eb6cab1beafed085c93ab846d21c
SHA1: 6acf27c7b1caa13bc42282240bf55eda363b6213
SHA256: 2d8d021f632b03364b6f8f4f1dc15937a2e5994ce5018d7fd8023cf0a6cf6452
SHA512: 87e45088d2dbccc415ce90c89bfe2598ff5b3d6bef8474f9bec674b4e3a326a5c0f350f53d4cac3e0c0724014c5f76eaab991c3801d175d5a52d0ea6039c0538
Homepage: https://cran.r-project.org/package=cocktailApp
Description: CRAN Package 'cocktailApp' ('shiny' App to Discover Cocktails)
 A 'shiny' app to discover cocktails. The app allows one to search for
 cocktails by ingredient, filter on rating, and number of ingredients. The
 package also contains data with the ingredients of nearly 26 thousand
 cocktails scraped from the web.

Package: r-cran-coclust
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-coclust_1.0-0-1.ca2004.1_all.deb
Size: 49104
MD5sum: 2a96441219c9ce35f6094c3c7a94058e
SHA1: 2fc314db18003ad9ef7fb8e073015b3b7ae115dd
SHA256: efd9fc72ffdf13571a75c94fef30d6198267bc076d86f465ed1efcfdfca4b782
SHA512: cf5f7c83c5090f1fe6a977541dc03b14efc4f31fee4f0383069646925bad970287a3c3ea300ab8c235dd9ff2df5c6ccc8803ce930c49635ea8d8f13ee3b252b5
Homepage: https://cran.r-project.org/package=CoClust
Description: CRAN Package 'CoClust' (A Copula-Based Clustering Algorithm)
 A copula based clustering algorithm that finds clusters according to the
 complex multivariate dependence structure of the data generating process.
 The updated version of the algorithm is described in Di Lascio, F.M.L. and
 Giannerini, S. (2019). "Clustering dependent observations with copula
 functions". Statistical Papers, 60, p.35-51.
 <doi:10.1007/s00362-016-0822-3>.

Package: r-cran-coconut
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 554
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-bioc-limma
Filename: pool/dists/focal/main/r-cran-coconut_1.0.2-1.ca2004.1_all.deb
Size: 533692
MD5sum: 35de7311f47ac150930287d763113740
SHA1: 6a0ec159c08a79d289510b661a7880a1883d3f74
SHA256: 7e67ddc3387671f84b873343b7fb72bfe1097000d0926466707cbc16ad992d39
SHA512: a37a49ecb3d795490eaf42248f986c67430066dc0ea64c614e0fd3b4ac5d50301fe04600ee09c10c88e3379051e56c91570bf85b50786074818347baba1d0597
Homepage: https://cran.r-project.org/package=COCONUT
Description: CRAN Package 'COCONUT' (COmbat CO-Normalization Using conTrols (COCONUT))
 Allows for pooled analysis of microarray data by batch-correcting control
 samples, and then applying the derived correction parameters to non-control
 samples to obtain bias-free, inter-dataset corrected data.

Package: r-cran-cocoon
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4710
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-bayesfactor, r-cran-correlation, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cocoon_0.2.0-1.ca2004.1_all.deb
Size: 4049456
MD5sum: 749bea2353cb757c21857c77cc3f1926
SHA1: d6d591a9483e6e8e3d1cef1d48f58c3c94be8b3a
SHA256: 58349728e6c5a7932d62a1377b69273cd2754950747d7d0adf5f9a400316a90d
SHA512: 71f6bac9f8acdcd86aa21707e8d19a9b6188012ef56105aeff75d88860465002703f482ff1dee06082a59447ba06bb27e35aa9b4c217c0dee58921e00de37459
Homepage: https://cran.r-project.org/package=cocoon
Description: CRAN Package 'cocoon' (Extract, Format, and Print Statistical Output)
 Provides functions that format statistical output in a way that can be
 inserted into R Markdown documents. This is analogous to the apa_print()
 functions in the 'papaja' package but prints Markdown or LaTeX syntax.

Package: r-cran-cocor
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1439
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cocor_1.1-4-1.ca2004.1_all.deb
Size: 1276076
MD5sum: da43471eb96ae4e8edd4ae66dd173069
SHA1: 87ab4a1c3dc6c649d2b059f9988f23faafdfda39
SHA256: a04c53c011908b4a51cb9c305ab67460135138fab759503a75b693a34f111171
SHA512: cb611c622fb45dac6f51d94eaebfa94bc1a1af0228dcb982d1b10f7acaf9c550a6c1222d322c1d7841cb139534b6aa6f0d3d3877babee8e7d1509e9521e66b24
Homepage: https://cran.r-project.org/package=cocor
Description: CRAN Package 'cocor' (Comparing Correlations)
 Statistical tests for the comparison between two correlations based on
 either independent or dependent groups. Dependent correlations can either be
 overlapping or nonoverlapping. A web interface is available on the website
 <http://comparingcorrelations.org>. A plugin for the R GUI and IDE RKWard is
 included. Please install RKWard from <https://rkward.kde.org> to use this
 feature. The respective R package 'rkward' cannot be installed directly from
 a repository, as it is a part of RKWard.

Package: r-cran-cocorresp
Architecture: all
Version: 0.4-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-pls
Filename: pool/dists/focal/main/r-cran-cocorresp_0.4-6-1.ca2004.1_all.deb
Size: 321648
MD5sum: a5f5694402adc09a56e1f31985a17835
SHA1: 026625d8c16e8ade1b83aac4ababfc222ad88cdc
SHA256: 9fd3b56874b0247c44f7f071628c862f41277275ed0881b74bcd19736d526185
SHA512: c819f124e4aa57fef6dc8c030d4d81e54ea92ca4569fa5275903f34eb75ce2b40c6c354519199d50140f1deffaf3b2d57cccf30c6f9986b2a1ba89de410d397e
Homepage: https://cran.r-project.org/package=cocorresp
Description: CRAN Package 'cocorresp' (Co-Correspondence Analysis Methods)
 Fits predictive and symmetric co-correspondence analysis (CoCA) models to
 relate one data matrix to another data matrix. More specifically, CoCA
 maximises the weighted covariance between the weighted averaged species
 scores of one community and the weighted averaged species scores of another
 community. CoCA attempts to find patterns that are common to both
 communities.

Package: r-cran-cocosor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cocosor_0.1.0-1.ca2004.1_all.deb
Size: 38456
MD5sum: 6d24096bec6034937d30dee19be887b4
SHA1: e2c463074a4831622feb7681af2a05a97460d4dd
SHA256: 603e59f543c1408e98cbf6afaed36271dfce248f5ea9666fcc7d419d98b8a894
SHA512: 14c67203e8252d9fd035c2e7bc51b23d615f799a8c16d944f654edbeec5124a697a994a83c2150a7dbe30a97a353dd1abc3a4cf24eda06c4f6d15441e47677f0
Homepage: https://cran.r-project.org/package=cocosoR
Description: CRAN Package 'cocosoR' (CoCoSo - Combined Compromise Solution Method for MCDA)
 Provides a set of functions to implement the Combined Compromise Solution
 (CoCoSo) Method created by Yazdani, Zarate, Zavadskas and Turskis (2019)
 <doi:10.1108/MD-05-2017-0458>. This method is based on an integrated simple
 additive weighting and compromise exponentially weighted product model.

Package: r-cran-cocotest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-cocotest_1.0.3-1.ca2004.1_all.deb
Size: 16396
MD5sum: ecc5fabbda9152e6af2858702f5a30c3
SHA1: c9323cda343a9834eb8e9f11157c873c64759fd0
SHA256: a1d3d82f6b773136eb588898181db80e584293591b067e130d3264105fa66c75
SHA512: 6bd75abb1117f208a092ba1b621c9ed8b8f7e1d8fa75df932ecd749745815a35abc4f05616601b07cd85c8b1487140bf25666180fdc9e0242cbb13d7763e05ec
Homepage: https://cran.r-project.org/package=cocotest
Description: CRAN Package 'cocotest' (Dependence Condition Test Using Ranked Correlation Coefficients)
 A common misconception is that the Hochberg procedure comes up with adequate
 overall type I error control when test statistics are positively correlated.
 However, unless the test statistics follow some standard distributions, the
 Hochberg procedure requires a more stringent positive dependence assumption,
 beyond mere positive correlation, to ensure valid overall type I error
 control. To fill this gap, we formulate statistical tests grounded in rank
 correlation coefficients to validate fulfillment of the positive dependence
 through stochastic ordering (PDS) condition.  See Gou, J., Wu, K. and Chen,
 O. Y. (2024). Rank correlation coefficient based tests on positive
 dependence through stochastic ordering with application in cancer studies,
 Technical Report.

Package: r-cran-cocron
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cocron_1.0-1-1.ca2004.1_all.deb
Size: 168588
MD5sum: 1ea3f8b7a175347487f57fc1f755797e
SHA1: 1150b83ff5972cbdbbda9bbc56b5f1d9ce3df71e
SHA256: 85bd29a73ceffe8d5cbfc177e7498f7a2d21bd7951222d8be5cf757d9ae0509b
SHA512: 754291587d58b1c76511049f200e58fa88baa67882845bad6ee51815fbeb7717559d51482d6b3997543f1dec9865bbf60c3384505d932c15d05eed9b936e62c0
Homepage: https://cran.r-project.org/package=cocron
Description: CRAN Package 'cocron' (Statistical Comparisons of Two or more Alpha Coefficients)
 Statistical tests for the comparison between two or more alpha coefficients
 based on either dependent or independent groups of individuals.  A web
 interface is available at http://comparingcronbachalphas.org. A plugin for
 the R GUI and IDE RKWard is included. Please install RKWard from https://
 rkward.kde.org to use this feature. The respective R package 'rkward' cannot
 be installed directly from a repository, as it is a part of RKWard.

Package: r-cran-coda.plot
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda.base, r-cran-ggplot2, r-cran-ggtern
Filename: pool/dists/focal/main/r-cran-coda.plot_0.1.9-1.ca2004.1_all.deb
Size: 52440
MD5sum: 0d522e0563fcb58e1935cb172221325f
SHA1: 045448adbc51665c8c0a6d22712ebaba7a34447c
SHA256: 6dbf05548e572b7457d9a47a36e0198d67be5b4773134eb1e90b9138d049d2ce
SHA512: f30d9216bfe03b756d8963158db4bab4505ae20ac3f7565b69efcd50de616ca65f53278d06aa0d1ed649ea6c65041d12c3e17bfb4a0b3928a7dc170b0bde980d
Homepage: https://cran.r-project.org/package=coda.plot
Description: CRAN Package 'coda.plot' (Plots for Compositional Data)
 Provides a collection of easy-to-use functions for creating visualizations
 of compositional data using 'ggplot2'. Includes support for common plotting
 techniques in compositional data analysis.

Package: r-cran-coda4microbiome
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corrplot, r-cran-glmnet, r-cran-plyr, r-cran-proc, r-cran-ggpubr, r-cran-ggplot2, r-bioc-complexheatmap, r-cran-circlize, r-cran-survival, r-cran-survminer
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coda4microbiome_0.2.4-1.ca2004.1_all.deb
Size: 368292
MD5sum: 656428cffda9376669c41037d95f2603
SHA1: ec7fa8eb0b31f9a60163a3e60ec02833d5c9849f
SHA256: 65ddcaf63fb7044a245b0fcbd8c7d9dd8dfa876fac7c599be991f15f591b4f84
SHA512: bace9ec2e71ddda5d8934fb445ed0ef56119a569f7bb4148ef96d7ea8dcc77231e64b14d213e4b10b0d30179073c3f080f5bfe937a2cfac57fde52186c848a88
Homepage: https://cran.r-project.org/package=coda4microbiome
Description: CRAN Package 'coda4microbiome' (Compositional Data Analysis for Microbiome Studies)
 Functions for microbiome data analysis that take into account its
 compositional nature. Performs variable selection through penalized
 regression for both, cross-sectional and longitudinal studies, and for
 binary and continuous outcomes.

Package: r-cran-coda
Architecture: all
Version: 0.19-4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-coda_0.19-4.1-1.ca2004.1_all.deb
Size: 322384
MD5sum: b279e2375a4515c93418d8ef95cbd0b9
SHA1: 24b094a9de7c191e8e84f5e464f7729febdca050
SHA256: 6a9422b9caa5fd7590b166d8f76738f458e61baf26ba919616ba9a631fb467b9
SHA512: 9e1fb5ee33f3474e6ac73627bb78c78b42fcc40f5bf0793b8a95a99043d734e385d32493bd9ded48d5ce973bf58df6ad73e17f244872018e90de4fc6c3a7963d
Homepage: https://cran.r-project.org/package=coda
Description: CRAN Package 'coda' (Output Analysis and Diagnostics for MCMC)
 Provides functions for summarizing and plotting the output from Markov Chain
 Monte Carlo (MCMC) simulations, as well as diagnostic tests of convergence
 to the equilibrium distribution of the Markov chain.

Package: r-cran-codacore
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1910
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tensorflow, r-cran-keras, r-cran-proc, r-cran-r6, r-cran-gtools
Suggests: r-cran-zcompositions, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-codacore_0.0.4-1.ca2004.1_all.deb
Size: 1085740
MD5sum: 6aa784be7ce652f5ddedd22122db3bbf
SHA1: 1f9871ce3021941a14e7630b1572644713a3afea
SHA256: 8adff8203b136050482ffbd8e0cd3126b2e58c3eb5c2f40b016becb97f98d4b8
SHA512: 92af7b4d9cd51a3cbeb36c01504b45466d6e23bc8f4507965f60c153612e036d4fd64850b2bcd3beabb6f89c17bca5b8592ca70a7365a5208305982bec3a9778
Homepage: https://cran.r-project.org/package=codacore
Description: CRAN Package 'codacore' (Learning Sparse Log-Ratios for Compositional Data)
 In the context of high-throughput genetic data, CoDaCoRe identifies a set of
 sparse biomarkers that are predictive of a response variable of interest
 (Gordon-Rodriguez et al., 2021) <doi:10.1093/bioinformatics/btab645>. More
 generally, CoDaCoRe can be applied to any regression problem where the
 independent variable is Compositional (CoDa), to derive a set of
 scale-invariant log-ratios (ILR or SLR) that are maximally associated to a
 dependent variable.

Package: r-cran-codaimpact
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-compositions
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-sf, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-codaimpact_0.1.0-1.ca2004.1_all.deb
Size: 1112280
MD5sum: 481804c04492bcd1cf952f3e6cffbc04
SHA1: 0641a230b1f86a0abda7581169702f6ad3f39daf
SHA256: 6556f9afaabdfbc4dd48d90e3d6f4ead0ca34265bfe1b711eed762fa16541f4c
SHA512: f9aeed09e0879a5e9e071dc8bfc654886c0b0cbc2ad7063ccd26cedeb05be5afc76cc9a1c8a2465cf815dee120209095a5293cf42f79b2bcff97d2fd2566f656
Homepage: https://cran.r-project.org/package=CoDaImpact
Description: CRAN Package 'CoDaImpact' (Interpreting CoDa Regression Models)
 Provides methods for interpreting CoDa (Compositional Data) regression
 models along the lines of "Pairwise share ratio interpretations of
 compositional regression models" (Dargel and Thomas-Agnan 2024)
 <doi:10.1016/j.csda.2024.107945>.  The new methods include variation
 scenarios, elasticities, elasticity differences and share ratio
 elasticities.  These tools are independent of log-ratio transformations and
 allow an interpretation in the original space of shares.  'CoDaImpact' is
 designed to be used with the 'compositions' package and its ecosystem.

Package: r-cran-codalm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-squarem, r-cran-future, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-gtools, r-cran-remotes, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-codalm_0.1.2-1.ca2004.1_all.deb
Size: 39396
MD5sum: defdf4c21e371b4a2d64913d95d01ffd
SHA1: 179155fbc14fafa947c44a8ebfc99fc57f94295a
SHA256: bfaec4b4f6231e86da38d843d37b08908d45ff6444b16e438f9f6b1e9bc6c177
SHA512: 0b1f2a07cd3d6a3692a148926363d3e1d221df5f6efae3e4bf6d1842b1fa79aac4f8e9fce258a86c31d217b28ff6cf10551e9e0a99c22889ac3c010a96de543c
Homepage: https://cran.r-project.org/package=codalm
Description: CRAN Package 'codalm' (Transformation-Free Linear Regression for Compositional Outcomesand Predictors)
 Implements the expectation-maximization (EM) algorithm as described in
 Fiksel et al. (2021) <doi:10.1111/biom.13465> for transformation-free linear
 regression for compositional outcomes and predictors.

Package: r-cran-codalomic
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xtable, r-cran-ggplot2, r-cran-reshape2, r-cran-compositions, r-cran-mass, r-cran-broom, r-cran-r2jags, r-cran-ggbiplot, r-cran-zcompositions
Suggests: r-cran-testthat, r-cran-gtools, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-codalomic_0.1.1-1.ca2004.1_all.deb
Size: 944548
MD5sum: 697fee9ab0381b6a3f60c54fb3e45c4f
SHA1: 6122c2885d5004380bc97a69a8fc65d8b92215fa
SHA256: 391a83879a5aac5fb348dd2978995ef8938420e22cc58b1dc69900871ebae4ff
SHA512: 73df96a55253b90cd4bc88cb0c4d5c697cba3c5db982eaf04d5dcdad96eca40a82b04ac214d1bcdba6e67a70fb48ebdf8b1e11cfcee04d43ae6d489d3d60f2f3
Homepage: https://cran.r-project.org/package=CoDaLoMic
Description: CRAN Package 'CoDaLoMic' (Compositional Models to Longitudinal Microbiome Data)
 Implementation of models to analyse compositional microbiome time series
 taking into account the interaction between groups of bacteria. The models
 implemented are described in Creus-Martí et al (2018,
 ISBN:978-84-09-07541-6), Creus-Martí et al (2021) <doi:10.1155/2021/9951817>
 and Creus-Martí et al (2022) <doi:10.1155/2022/4907527>.

Package: r-cran-codaredistlm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-compositions, r-cran-ggplot2, r-cran-broom, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codaredistlm_0.1.0-1.ca2004.1_all.deb
Size: 184968
MD5sum: adb088feb23fec89689e4370f517ffe8
SHA1: 0afc65a90da0b26143a7b0ed0cfc1e8065176781
SHA256: 71e57700c3a65906370a5740f62592cadca464ea82edea19f3b643c18d5ec63c
SHA512: d815a53b5334589405fae2f15c172ba1d24741cfc1fac2d2d7c6b4deaeab73eba098c7cba80b8e7f046505cf3bafb00ff513fcc28d6a9ac85f944d61eb8c3f5b
Homepage: https://cran.r-project.org/package=codaredistlm
Description: CRAN Package 'codaredistlm' (Compositional Data Linear Models with Composition Redistribution)
 Provided data containing an outcome variable, compositional variables and
 additional covariates (optional); linearly regress the outcome variable on
 an isometric log ratio (ilr) transformation of the linearly dependent
 compositional variables. The package provides predictions (with confidence
 intervals) in the change (delta) in the outcome/response variable based on
 the multiple linear regression model and evenly spaced reallocations of the
 compositional values. The compositional data analysis approach implemented
 is outlined in Dumuid et al. (2017a) <doi:10.1177/0962280217710835> and
 Dumuid et al. (2017b) <doi:10.1177/0962280217737805>.

Package: r-cran-codatags
Architecture: all
Version: 1.43-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-codatags_1.43-1.ca2004.1_all.deb
Size: 41376
MD5sum: d1301adc36301655c2b2cc2aeeab3dfd
SHA1: 35e3dc258794d85fa23d5d02d9990c7d234b9856
SHA256: ceb81e7362159592d794a77ddb4a6af738cc8d20958556f4d317035b0ae549de
SHA512: e5497e11282322340e32e5591dcf3038cbd690cf3977ebc0d32c72782e3399d2610701b4de7550d5236bb2b3a9d9d8470fa9511c4736f1ba537019924c991249
Homepage: https://cran.r-project.org/package=CodataGS
Description: CRAN Package 'CodataGS' (Genomic Prediction Using SNP Codata)
 Computes genomic breeding values using external information on the markers.
 The package fits a linear mixed model with heteroscedastic random effects,
 where the random effect variance is fitted using a linear predictor and a
 log link. The method is described in Mouresan, Selle and Ronnegard (2019)
 <doi:10.1101/636746>.

Package: r-cran-code
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-desolve, r-cran-bvpsolve, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-code_1.1.1-1.ca2004.1_all.deb
Size: 126476
MD5sum: c2abbd28be43357fe65e513379fd1901
SHA1: 452e3eae4217bfbfa5f156c338a4dd917cf388db
SHA256: 06863721c674354bea860a4ab84f432e1cc27c3541998420a96ebeffee0f50c4
SHA512: f16b67c5c0826631db30b15633aeaaff92103267cdbfadbc14e971643b99a9c0cd26af8c3f3a923ae9f25fe32a8403ca7b709332391b1a391f84f0bda24c7710
Homepage: https://cran.r-project.org/package=cOde
Description: CRAN Package 'cOde' (Automated C Code Generation for 'deSolve', 'bvpSolve')
 Generates all necessary C functions allowing the user to work with the
 compiled-code interface of ode() and bvptwp(). The implementation supports
 "forcings" and "events". Also provides functions to symbolically compute
 Jacobians, sensitivity equations and adjoint sensitivities being the basis
 for sensitivity analysis.

Package: r-cran-codebook
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmdpartials, r-cran-forcats, r-cran-vctrs, r-cran-ggplot2, r-cran-stringr, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-haven, r-cran-purrr, r-cran-tibble, r-cran-glue, r-cran-likert, r-cran-knitr, r-cran-skimr, r-cran-htmltools, r-cran-labeling, r-cran-labelled, r-cran-future
Suggests: r-cran-testthat, r-cran-dt, r-cran-shinytest, r-cran-lme4, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-miniui, r-cran-roxygen2, r-cran-rio, r-cran-psych, r-cran-ufs, r-cran-rosetta, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-codebook_0.9.6-1.ca2004.1_all.deb
Size: 1277740
MD5sum: ebdb9f0be800f1262d3b9de9838c84c4
SHA1: 268b96931a81e445d84cac1f242ec0ee92a8e157
SHA256: 2189a5f7e5e7e7cb62616fde5d35ab9a9a1ab3acf8d106bb7922c4bb48af50f0
SHA512: ba528238cfaa971104f6d05702f59b8b9d78237d176c907bc5ca09a14e9dce5c9caf664a6b7f659cab9d8f6f7f3ba04daf87d0d9c6c38aab045d35bd679b812e
Homepage: https://cran.r-project.org/package=codebook
Description: CRAN Package 'codebook' (Automatic Codebooks from Metadata Encoded in Dataset Attributes)
 Easily automate the following tasks to describe data frames: Summarise the
 distributions, and labelled missings of variables graphically and using
 descriptive statistics.  For surveys, compute and summarise reliabilities
 (internal consistencies, retest, multilevel) for psychological scales.
 Combine this information with metadata (such as item labels and labelled
 values) that is derived from R attributes.  To do so, the package relies on
 'rmarkdown' partials, so you can generate HTML, PDF, and Word documents.
 Codebooks are also available as tables (CSV, Excel, etc.) and in JSON-LD, so
 that search engines can find your data and index the metadata.  The metadata
 are also available at your fingertips via RStudio Addins.

Package: r-cran-codebookr
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-haven, r-cran-flextable, r-cran-dplyr, r-cran-officer, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-hms, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codebookr_0.1.8-1.ca2004.1_all.deb
Size: 86208
MD5sum: 7965fdfc6e83e6822878c1be335688b4
SHA1: 5a95faa0e8cb29099b221b2da69b508fa873c53c
SHA256: 90194ed31b56cdb7c6530b8ccc43b73d8fe63263f5200c0c177207cbec46400a
SHA512: c59f12e91f48bf2747dad5d3164949375b7752be530504e075e1ee7714610e5aa23172842141518827c6011d62362866e3f07989d46edbe4be8e9752228c641f
Homepage: https://cran.r-project.org/package=codebookr
Description: CRAN Package 'codebookr' (Create Codebooks from Data Frames)
 Quickly and easily create codebooks (i.e. data dictionaries) directly from a
 data frame.

Package: r-cran-codebreaker
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-beepr, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codebreaker_1.0.1-1.ca2004.1_all.deb
Size: 78556
MD5sum: bc7f86926c64b30f819db2a70f5fc1c8
SHA1: ce84ac11e8633280b88437a0f76716fb3ad1926c
SHA256: ef1a894a1c5cfa7d8166cbb7821acd3fec028374c5e03599c58b50bab84f6920
SHA512: ce8ac94ad0fe1ec566e5725a6918eab71bd9745ddd38655d94c9db75629371ad1b3a748ebd38870ebe99af00c88a5a695a666b53310115fccd40a333bfa6b124
Homepage: https://cran.r-project.org/package=codebreaker
Description: CRAN Package 'codebreaker' (Retro Logic Game)
 Logic game in the style of the early 1980s home computers that can be played
 in the R console. This game is inspired by Mastermind, a game that became
 popular in the 1970s.  Can you break the code?

Package: r-cran-codecollection
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1136
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-epi
Filename: pool/dists/focal/main/r-cran-codecollection_0.1.3-1.ca2004.1_all.deb
Size: 1112300
MD5sum: f40ad59f693216c402ede515b0015ec9
SHA1: af079d5628927754ad1c1d9dad30332862df5c67
SHA256: 81eb19f68e7ac7dbc850ea2360ec7762e23cf8fd5f18c347ec27f522f0eb5cb6
SHA512: f8df854072d9fa4682404ed461f39721ecee31b87dc0a1227434dd9c82b686ea7042eef261c0a300f78dbdbc3c681827d518073d3dec0f61a2a421d78e4f8804
Homepage: https://cran.r-project.org/package=codeCollection
Description: CRAN Package 'codeCollection' (Collection of Codes with Labels)
 Includes several classifications such as International Statistical
 Classification of Diseases and Related Health Problems 10th Revision
 (ICD10), Anatomical Therapeutic Chemical (ATC) Classification, The
 International Classification of Diseases for Oncology (ICD-O-3), and
 International Classification of Primary Care (ICPC). Includes function that
 adds descriptive label to code value.  Depending on classification following
 languages are available: English, Finnish, Swedish, and Latin.

Package: r-cran-codecountr
Architecture: all
Version: 0.0.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-codecountr_0.0.4.8-1.ca2004.1_all.deb
Size: 42292
MD5sum: 0196c3e5109efefb9f6e5830af44fc06
SHA1: d83fea9895baa3ffcce876a8b6ec85df5795c211
SHA256: bbf908f6b61b672cfb874593a943646703bac2c272bc163f6eb2e258b20f3f84
SHA512: f740f7e8d7b2c85b3bf805efbcc973b3c16f12e1eedfeccdc38173fa1f3dfabc28cc25e331a412fd70d2462b1d9fb0e9457d7e2ad761ee98fcda5ce268f0ed5b
Homepage: https://cran.r-project.org/package=codecountR
Description: CRAN Package 'codecountR' (Counting Codes in a Text and Preparing Data for Analysis)
 Data analysis often requires coding, especially when data are collected
 through interviews, observations, or questionnaires. As a result, code
 counting and data preparation are essential steps in the analysis process.
 Analysts may need to count the codes in a text (Tokenization, counting of
 pre-established codes, computing the co-occurrence matrix by line) and
 prepare the data (e.g., min-max normalization, Z-score, robust scaling,
 Box-Cox transformation, and non-parametric bootstrap). For the Box-Cox
 transformation (Box & Cox, 1964, <https://www.jstor.org/stable/2984418>),
 the optimal Lambda is determined using the log-likelihood method.
 Non-parametric bootstrap involves randomly sampling data with replacement.
 Two random number generators are also integrated: a Lehmer congruential
 generator for uniform distribution and a Box-Muller generator for normal
 distribution. Package for educational purposes.

Package: r-cran-codedepends
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1255
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-codetools, r-bioc-graph, r-cran-xml
Suggests: r-bioc-rgraphviz, r-cran-runit, r-cran-knitr, r-cran-highlight, r-cran-rjsonio, r-cran-rcurl, r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-codedepends_0.6.6-1.ca2004.1_all.deb
Size: 884164
MD5sum: 53ebecb7cde31b96554d804412757dad
SHA1: e4ac328e0b2b328c4c2b1e74e59e5f96af655f84
SHA256: dd542fc32d35d08e75b28ee581323866d57fd3c439cfa4c4fe382546e575ef63
SHA512: a614d6423a8d7d9dcb08c53cbcf469fdddb16bb7cdf6c597ec0ad803cce47165d6b6d20111970d0322816ab8459522e69e37d1ed0b35bc81e6f87ef3c179835a
Homepage: https://cran.r-project.org/package=CodeDepends
Description: CRAN Package 'CodeDepends' (Analysis of R Code for Reproducible Research and CodeComprehension)
 Tools for analyzing R expressions or blocks of code and determining the
 dependencies between them.  It focuses on R scripts, but can be used on the
 bodies of functions.  There are many facilities including the ability to
 summarize or get a high-level view of code, determining dependencies between
 variables, code improvement suggestions.

Package: r-cran-codelist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-simplermarkdown
Filename: pool/dists/focal/main/r-cran-codelist_0.1.0-1.ca2004.1_all.deb
Size: 106204
MD5sum: 6bcb553bd41d279fd41d2967d3eef4e1
SHA1: f012a55cad972bf1397963ed40f0416102e56ba4
SHA256: ee494d3aced4c73a84d242448a5a6da99512089d82d2dd63448da89d7a187a3f
SHA512: 72e560b4a127da5749c5395c030580799f77ff3bfd4cc317bec7a20f05cf3028af26a27a75bb8e824864a1b083dcf5bdbebd81498d92ba1e00380ff00abb6c41
Homepage: https://cran.r-project.org/package=codelist
Description: CRAN Package 'codelist' (Working with Code Lists)
 Functions for working with code lists and vectors with codes. These are an
 alternative for factor that keep track of both the codes and labels.
 Methods allow for transforming between codes and labels. Also supports
 hierarchical code lists.

Package: r-cran-codelistgenerator
Architecture: all
Version: 3.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2945
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-omopgenerics, r-cran-rlang, r-cran-glue, r-cran-stringr, r-cran-stringi, r-cran-tidyr, r-cran-cli, r-cran-purrr, r-cran-clock, r-cran-patientprofiles, r-cran-vctrs, r-cran-jsonlite, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-duckdb, r-cran-cdmconnector, r-cran-visomopresults, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rpostgres, r-cran-odbc, r-cran-spelling, r-cran-tibble, r-cran-gt, r-cran-flextable, r-cran-omock, r-cran-cohortconstructor
Filename: pool/dists/focal/main/r-cran-codelistgenerator_3.5.0-1.ca2004.1_all.deb
Size: 1713704
MD5sum: 37c5d986b9301f0abfa08dd9a5dd0022
SHA1: 1c1b0f915e8f5074df42440288ebcdd9d55f1108
SHA256: e9d46b07351e7c0c4ebe14df84d7d1537814a4686d18a99b2b731bd33b06b6ba
SHA512: 95067bebac71ef9f9897189ba284f2b9c506e4f7a25049875eca2cf9dafff3ec4a2444239a8670693cd435ec4786bf19caa74c77e708b0b4caebf673c597efbf
Homepage: https://cran.r-project.org/package=CodelistGenerator
Description: CRAN Package 'CodelistGenerator' (Identify Relevant Clinical Codes and Evaluate Their Use)
 Generate a candidate code list for the Observational Medical Outcomes
 Partnership (OMOP) common data model based on string matching. For a given
 search strategy, a candidate code list will be returned.

Package: r-cran-codemeta
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desc, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codemeta_0.1.1-1.ca2004.1_all.deb
Size: 164036
MD5sum: a2c20c1ec28494f31451ef3bff038da7
SHA1: b2814a53eb44863130a365aa472689477c628f58
SHA256: 2a7db1a8308b17a2881bae6a7c84687616ddfc61c1d4c94d6b89804056e8ffa4
SHA512: 5821c54a50786015af1fc5567bebd7d99c8726d2041297b1601547ad762145e42c8f0689a3638ab977f0c0c19ae5c631e2e4d242714ee7d6ee7d5fe9ac64dcdd
Homepage: https://cran.r-project.org/package=codemeta
Description: CRAN Package 'codemeta' (A Smaller 'codemetar' Package)
 The 'Codemeta' Project defines a 'JSON-LD' format for describing software
 metadata, as detailed at <https://codemeta.github.io>. This package provides
 core utilities to generate this metadata with a minimum of dependencies.

Package: r-cran-codemetar
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1672
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-commonmark, r-cran-crul, r-cran-desc, r-cran-gert, r-cran-gh, r-cran-jsonlite, r-cran-magrittr, r-cran-memoise, r-cran-pingr, r-cran-purrr, r-cran-remotes, r-cran-sessioninfo, r-cran-urltools, r-cran-xml2, r-cran-cli, r-cran-codemeta
Suggests: r-cran-withr, r-cran-covr, r-cran-details, r-cran-dplyr, r-cran-jsonld, r-cran-jsonvalidate, r-cran-knitr, r-cran-printr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-codemetar_0.3.5-1.ca2004.1_all.deb
Size: 461376
MD5sum: a1513c2551ec7cf32372a39b55cae910
SHA1: b72b70e35627dedbdc84004c12f5a48b548ba9bc
SHA256: ae21a85b091bcaf5b0947997a377e1a730033b4d65adc2ac13e33aea55821796
SHA512: cb0f4e0ea403e3e9ca99afcf53c8a2da4d1ccb557e795816718c698f41be12c0447043f523622a2e114bac104c38573ed4d710b48c058edcee6a04df2f3791b1
Homepage: https://cran.r-project.org/package=codemetar
Description: CRAN Package 'codemetar' (Generate 'CodeMeta' Metadata for R Packages)
 The 'Codemeta' Project defines a 'JSON-LD' format for describing software
 metadata, as detailed at <https://codemeta.github.io>. This package provides
 utilities to generate, parse, and modify 'codemeta.json' files automatically
 for R packages, as well as tools and examples for working with
 'codemeta.json' 'JSON-LD' more generally.

Package: r-cran-codename
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tibble
Filename: pool/dists/focal/main/r-cran-codename_0.5.0-1.ca2004.1_all.deb
Size: 82252
MD5sum: c4a8638a27506c087600ad8f4d1f95ab
SHA1: fb1b8bd2524e44abc8f7908293916f3f175613c6
SHA256: af34fd7866ca5f6698d40b5f0bf07a1912a1e4bef178f1d279d5a6d6ae436fa4
SHA512: dcab15afdc3c1129d3b4debdb91c2d4e7db4f2bbbdcb215af157757bacc6f3220d9d8a2c5ef95cc0c3c5c1ef512b75b3cf2a301e31e3143127c979c6a87153a2
Homepage: https://cran.r-project.org/package=codename
Description: CRAN Package 'codename' (Generation of Code Names for Organizations, People, Projects,and Whatever Else)
 This creates code names that a user can consider for their organizations,
 their projects, themselves, people in their organizations or projects, or
 whatever else. The user can also supply a numeric seed (and even a character
 seed) for maximum reproducibility. Use is simple and the code names produced
 come in various types too, contingent on what the user may be desiring as a
 code name or nickname.

Package: r-cran-coder
Architecture: all
Version: 0.13.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-decoder, r-cran-generics, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-coder_0.13.10-1.ca2004.1_all.deb
Size: 340340
MD5sum: 66c0717b8fd06352421ecfca4abf22e7
SHA1: 1694d7a30a630d219ad5b262deaf7abafa8a1a31
SHA256: 3190b9f95283ab1a9758cc91cc96e7b0443ca740f0a45d3dce04519bab978df8
SHA512: b1392dbf73a26cf0199462a7dca03ceca2897528bfa478c306ba46564b759b0867889fc2a17ece18ea163826b70b7c8c2bc71a8381c27f014895532d0ddde394
Homepage: https://cran.r-project.org/package=coder
Description: CRAN Package 'coder' (Deterministic Categorization of Items Based on External CodeData)
 Fast categorization of items based on external code data identified by
 regular expressions. A typical use case considers patient with medically
 coded data, such as codes from the International Classification of Diseases
 ('ICD') or the Anatomic Therapeutic Chemical ('ATC') classification system.
 Functions of the package relies on a triad of objects: (1) case data with
 unit id:s and possible dates of interest; (2) external code data for
 corresponding units in (1) and with optional dates of interest and; (3) a
 classification scheme ('classcodes' object) with regular expressions to
 identify and categorize relevant codes from (2).  It is easy to introduce
 new classification schemes ('classcodes' objects) or to use default schemes
 included in the package. Use cases includes patient categorization based on
 'comorbidity indices' such as 'Charlson', 'Elixhauser', 'RxRisk V', or the
 'comorbidity-polypharmacy' score (CPS), as well as adverse events after hip
 and knee replacement surgery.

Package: r-cran-codestral
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-rstudioapi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codestral_0.0.1-1.ca2004.1_all.deb
Size: 37696
MD5sum: f9140f7792570df1972a3774f370b50b
SHA1: 93d1f885879390abadcbc92b9e7fc5274e425a84
SHA256: aadbdd2a9285c9cf66c59cf1902757b7169c2786c43d7f6e0e80b64a6f4ea038
SHA512: c220e8385d0cf83150ac3c1f6e37a76b109418e19e938226ec03be4f500ca5f3a7db868439d64c27d7daed3666364b35320955c0c7b55f80233c16c5f48ba364
Homepage: https://cran.r-project.org/package=codestral
Description: CRAN Package 'codestral' (Chat and FIM with 'Codestral')
 Create an addin in 'Rstudio' to do fill-in-the-middle (FIM) and chat with
 latest Mistral AI models for coding, 'Codestral' and 'Codestral Mamba'. For
 more details about 'Mistral AI API':
 <https://docs.mistral.ai/getting-started/quickstart/> and
 <https://docs.mistral.ai/api/>. For more details about 'Codestral' model:
 <https://mistral.ai/news/codestral>; about 'Codestral Mamba':
 <https://mistral.ai/news/codestral-mamba>.

Package: r-cran-codetools
Architecture: all
Version: 0.2-20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-codetools_0.2-20-1.ca2004.1_all.deb
Size: 90236
MD5sum: ec2cef030a3190939f7291855c324241
SHA1: f5a551c08b305157b8d26ee3852a074b175c7a29
SHA256: 81c424acb2af6ccc7ea3ae733474b8a42b72b92e74433b9ee0255d5b80e01823
SHA512: 5e011fab056d8ff79c3e8448826b671786b723f795f0eae37be0696c900ad43e97fcf452c5393052312f509797618f599505b2cddc3e8f7384eda18515bd38c9
Homepage: https://cran.r-project.org/package=codetools
Description: CRAN Package 'codetools' (Code Analysis Tools for R)
 Code analysis tools for R.

Package: r-cran-codewhere
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Suggests: r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codewhere_0.1.1-1.ca2004.1_all.deb
Size: 14520
MD5sum: 88d851f827a3b90bf1f44f6967c652c0
SHA1: 78c3525e29d695d119b6227a101d02b94976f4aa
SHA256: a51c68da1fb60df68ec8bb9df6044aeca3b9f7b159e9691988b7b9d435884496
SHA512: 6fa2d96ee4d33e2cfca33ea22b75899f3e6225edc246d7bbe418d32171b65f574503ffff569be6645e87ead0bd75c5ec1876fb88a05e3caf867c9629b4c22f45
Homepage: https://cran.r-project.org/package=codewhere
Description: CRAN Package 'codewhere' (Find the Location of an R Package's Code)
 Find the location of the code for an R package based on the package's name
 or string representation.  Checks on 'CRAN' based on information in the
 'URL' field or 'BioConductor' and 'GitHub' based on constructing a URL, and
 verifies all paths via testing for a successful response. This can be useful
 when automating static code analysis based on a list of package names, and
 similar tasks.

Package: r-cran-codexcopd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-codexcopd_0.1.0-1.ca2004.1_all.deb
Size: 11152
MD5sum: 502fdb1819d065686543f506918eeb16
SHA1: 688d411d4500cebc4d5879a8843046055f9b6f71
SHA256: 1878e3c9dc317daa9d3f37625572d9016800fdd960c783ec96d1b3c0b8a48528
SHA512: a20141669d57e63d93c96ab388bd71e006b51547073397a3a531c7b380c3a56e4a670540a6b1f0681f595789c3335e91e8160e0a3ce7ff8b7c26c09abc6fa988
Homepage: https://cran.r-project.org/package=codexcopd
Description: CRAN Package 'codexcopd' (The CODEX (Comorbidity, Obstruction, Dyspnea, and PreviousSevere Exacerbations) Index: Short and Medium-Term Prognosis inPatients Hospitalized for Chronic Obstructive Pulmonary Disease(COPD) Exacerbations)
 Predicts 3 to 12 months prognosis in Chronic Obstructive Pulmonary Disease
 (COPD) patients hospitalized for severe exacerbations, as described in
 Almagro et al. (2014) <doi:10.1378/chest.13-1328>.

Package: r-cran-codez
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-abind, r-cran-ggplot2, r-cran-readr, r-cran-fancova, r-cran-imputets, r-cran-modeest, r-cran-scales, r-cran-tictoc, r-cran-tensorflow, r-cran-keras, r-cran-moments, r-cran-narray, r-cran-fastdummies, r-cran-entropy, r-cran-philentropy, r-cran-greybox, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-codez_1.0.0-1.ca2004.1_all.deb
Size: 105440
MD5sum: 1c1c8fdc594728650657fadcb8db5ffb
SHA1: bafe0a70b875762ea7d071c2e628c10f70995ae1
SHA256: 8dd6fdba8bacf5da7e2125bd2bb09980a836f85996b6ed731a1364b8566d8eb6
SHA512: 85a01af359c7c0ee7bc6cd34b742c4aca8855e09f2dc24b992650f7cffe0fcd8deff999b64fe036cb9b95c16a8bdf8ec54ef1ada24c930924ffe85b38b8c2ac8
Homepage: https://cran.r-project.org/package=codez
Description: CRAN Package 'codez' (Seq2Seq Encoder-Decoder Model for Time-Feature Analysis Based onTensorflow)
 Proposes Seq2seq Time-Feature Analysis using an Encoder-Decoder to project
 into latent space and a Forward Network to predict the next sequence.

Package: r-cran-codified
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1156
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-kableextra, r-cran-knitr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-readr, r-cran-redcapr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-codified_0.3.0-1.ca2004.1_all.deb
Size: 325284
MD5sum: a0cd8fa668f33d9952377ba931f0c03f
SHA1: b3be659bd2fe53c60b31e4af30eb00800a069d62
SHA256: 7bd51837b00b9100ff363d4543f100e4d07648f6c41f2a075399f58d68a8f68d
SHA512: 62875ca0c1008a632c4e39744ca5ed181b6da0d52418da8f79f3c426dd15947db0fcecfdefa097388df44e7148b3b1bff4590595edeffed4f2fcae0742887478
Homepage: https://cran.r-project.org/package=codified
Description: CRAN Package 'codified' (Produce Standard/Formalized Demographics Tables)
 Augment clinical data with metadata to create output used in conventional
 publications and reports.

Package: r-cran-codina
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 852
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-magrittr, r-cran-plyr, r-cran-visnetwork, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-wto
Filename: pool/dists/focal/main/r-cran-codina_1.1.2-1.ca2004.1_all.deb
Size: 821728
MD5sum: d22c7ab20eeee2100c6a6568217c2e8a
SHA1: 46c22fe877619d9483f3dbf51db53ea01ba963df
SHA256: 62a5d5fd141ac728e0b80bc486bd920165eb1218dcdd16315089efff4f9d3231
SHA512: 1eea33fc8946e05fb07a93af9d1bd6b60fb0036da6d2c973a25a0700cc00751492f8f4eacaba21864b99f484a0d1ea89b57ff61ac889ae384ebe6ee0b98043d6
Homepage: https://cran.r-project.org/package=CoDiNA
Description: CRAN Package 'CoDiNA' (Co-Expression Differential Network Analysis)
 Categorize links and nodes from multiple networks in 3 categories: Common
 links (alpha) specific links (gamma), and different links (beta). Also
 categorizes the links into sub-categories and groups. The package includes a
 visualization tool for the networks. More information about the methodology
 can be found at: Gysi et. al., 2018 <arXiv:1802.00828>.

Package: r-cran-codingmatrices
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-fractional
Suggests: r-cran-knitr, r-cran-mass, r-cran-dplyr, r-cran-car, r-cran-ggplot2, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-codingmatrices_0.4.0-1.ca2004.1_all.deb
Size: 233392
MD5sum: cf0b0d886a2b5cd04a697f74e0a89182
SHA1: 6aa42acea58b8bc7b066ff4ebe59a0b815ee7e61
SHA256: ba3ac84cdaef2aca94fc6a709bc425d757f7b98385274e2e734074e1144a9eca
SHA512: 899adfbb33c9533771d45093c80c80df691b779e34be6153411d1816fcaf1781ef23ca3bbae5cf08509eb152c3b29f187e96a190899483c387c6df7250b4335f
Homepage: https://cran.r-project.org/package=codingMatrices
Description: CRAN Package 'codingMatrices' (Alternative Factor Coding Matrices for Linear Model Formulae)
 A collection of coding functions as alternatives to the standard functions
 in the stats package, which have names starting with 'contr.'.  Their main
 advantage is that they provide a consistent method for defining marginal
 effects in factorial models.  In a simple one-way ANOVA model the intercept
 term is always the simple average of the class means.

Package: r-cran-codyn
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 935
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-permute, r-cran-vegan
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-pillar, r-cran-reshape2, r-cran-devtools, r-cran-dplyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-codyn_2.0.5-1.ca2004.1_all.deb
Size: 641640
MD5sum: 173314fa13a4a6d8b6dfce451b3c160b
SHA1: 45bd0a5203651cb7e1b4bc5cb1ffe0b0b4ddace9
SHA256: 907e666e8c5041182c648a5f6a557855506afff7a872e9846dda563f4f1c13a3
SHA512: b5e86e4d6bb22da455fa12065c3edb97df39ca1a6375f8627a9c408f59b2c32464dc62bb3f9838d1af05763db704b8f44b4424e26c9c436dcb2270f0808839ad
Homepage: https://cran.r-project.org/package=codyn
Description: CRAN Package 'codyn' (Community Dynamics Metrics)
 Univariate and multivariate temporal and spatial diversity indices, rank
 abundance curves, and community stability measures. The functions implement
 measures that are either explicitly temporal and include the option to
 calculate them over multiple replicates, or spatial and include the option
 to calculate them over multiple time points. Functions fall into five
 categories: static diversity indices, temporal diversity indices, spatial
 diversity indices, rank abundance curves, and community stability measures.
 The diversity indices are temporal and spatial analogs to traditional
 diversity indices. Specifically, the package includes functions to calculate
 community richness, evenness and diversity at a given point in space and
 time. In addition, it contains functions to calculate species turnover, mean
 rank shifts, and lags in community similarity between two time points.
 Details of the methods are available in Hallett et al. (2016)
 <doi:10.1111/2041-210X.12569> and Avolio et al. (2019)
 <doi:10.1002/ecs2.2881>.

Package: r-cran-coefa
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openxlsx, r-cran-psych, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coefa_1.0.3-1.ca2004.1_all.deb
Size: 129112
MD5sum: 33c6e694134ab5b8bc2df6db0afa0baf
SHA1: 6e44d9675d42c4bfe776152a70eabca7560bd86e
SHA256: 182f8c9ab17f8148d5023cb70d3afaec573362550d250263bee6e683a16a2355
SHA512: 5d046a80f0cae8f89074d9fdd4b8caf9bd859007beaf6dbdc3bda49b35dde50647ff75bc61184a68fc3e5f9b4708e399315df20a0c95c791732bdba177a6e12c
Homepage: https://cran.r-project.org/package=coefa
Description: CRAN Package 'coefa' (Meta Analysis of Factor Analysis Based on CO-Occurrence Matrices)
 Provide a series of functions to conduct a meta analysis of factor analysis
 based on co-occurrence matrices. The tool can be used to solve the factor
 structure (i.e. inner structure of a construct, or scale) debate in several
 disciplines, such as psychology, psychiatry, management, education so on.
 References: Shafer (2005) <doi:10.1037/1040-3590.17.3.324>; Shafer (2006)
 <doi:10.1002/jclp.20213>; Loeber and Schmaling (1985)
 <doi:10.1007/BF00910652>.

Package: r-cran-coefficientalpha
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 431
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rsem, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-coefficientalpha_0.7.2-1.ca2004.1_all.deb
Size: 375548
MD5sum: a34d385e572e7877105877058efba626
SHA1: dd5c083f48e4a63fc7abd248009e01fe8a8f56f6
SHA256: f8e0c8ef980652f444d7be0373da0f58b11b30ab77eec746b094b5baacecef82
SHA512: e0b511ac042599675ea4af9a9bd04b3218b9b60d7a77bc649b2c476f8f0c043f79132093262443667b254e4d48b09df1c95f6e6fce0bf9709298a2ada3792cc5
Homepage: https://cran.r-project.org/package=coefficientalpha
Description: CRAN Package 'coefficientalpha' (Robust Coefficient Alpha and Omega with Missing and Non-NormalData)
 Cronbach's alpha and McDonald's omega are widely used reliability or
 internal consistency measures in social, behavioral and education sciences.
 Alpha is reported in nearly every study that involves measuring a construct
 through multiple test items. The package 'coefficientalpha' calculates
 coefficient alpha and coefficient omega with missing data and non-normal
 data. Robust standard errors and confidence intervals are also provided. A
 test is also available to test the tau-equivalent and homogeneous
 assumptions. Since Version 0.5, the bootstrap confidence intervals were
 added.

Package: r-cran-coefplot
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-reshape2, r-cran-useful, r-cran-dplyr, r-cran-dygraphs, r-cran-tibble, r-cran-magrittr, r-cran-purrr, r-cran-plotly
Suggests: r-cran-testthat, r-cran-covr, r-cran-glmnet, r-cran-maxlik, r-cran-xgboost, r-cran-workflows, r-cran-parsnip, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coefplot_1.2.8-1.ca2004.1_all.deb
Size: 140848
MD5sum: 066657f9475788dde58c2a39cc9c73e8
SHA1: 892cf03ce3713833121cb6387532fd0bb3d94894
SHA256: f407af27693548aa73749149eeb1bef9d00d556d6d3f5bfe10d9f50851516fff
SHA512: 7d43689c0816129f479e23bcc4301d9ab3f4182053adcd960ce3ddd1fc2f6f9e54f71bcefd68de931078c135b2d34803e593bab346f26be43bc9c365816ae14f
Homepage: https://cran.r-project.org/package=coefplot
Description: CRAN Package 'coefplot' (Plots Coefficients from Fitted Models)
 Plots the coefficients from model objects. This very quickly shows the user
 the point estimates and confidence intervals for fitted models.

Package: r-cran-coenocliner
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-coenocliner_0.2-3-1.ca2004.1_all.deb
Size: 516924
MD5sum: 2569dd5b4e6cf881f91f560992d5f1ea
SHA1: 9aae00e452ab4950de3ecce6e871cc52056e2c86
SHA256: 637c16921e4a971a0fb1d8a7088d04e9ef92cf77bc3f33e602cf5e88eef37889
SHA512: fa14248513afb2cd743c08da519cf2cfec699e970c0ec401f2529214b9edf1c63829017156bd980037305d84ecddc523f494f23db2ab6917a0196a74393ff577
Homepage: https://cran.r-project.org/package=coenocliner
Description: CRAN Package 'coenocliner' (Coenocline Simulation)
 Simulate species occurrence and abundances (counts) along gradients.

Package: r-cran-coexist
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-coexist_1.0-1.ca2004.1_all.deb
Size: 181240
MD5sum: d01728ea08da03a0e99bfa6a1a6dcc29
SHA1: 447ea5946a3c4440d6077a93724bd4612930ca22
SHA256: 8c0121432bce90ea7b04d7d4ef9550141a00f540f0d27fd4fde8e9f8e3c22bce
SHA512: d8b2538df6b07838083fd76c837cf01b216caccf94ce2091618796c1dc3090798ff49e5ea519ac631b959a93b053dbca66c4aa0704abb03b65dc72510a6b01f1
Homepage: https://cran.r-project.org/package=coexist
Description: CRAN Package 'coexist' (Species coexistence modeling and analysis)
 species coexistence modeling under asymmetric dispersal and fluctuating
 source-sink dynamics;testing the proportion of coexistence scenarios driven
 by neutral and niche processes

Package: r-cran-cofad
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-hmisc, r-cran-magrittr, r-cran-readr, r-cran-rhandsontable, r-cran-rlang, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-stringr, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cofad_0.3.3-1.ca2004.1_all.deb
Size: 119384
MD5sum: da1c61b75b72b64dea5bd4dda79a98b7
SHA1: f378eef6b87f99fbdf7011990ff83ed6f0d78159
SHA256: 974077c2649a397e07d8af94ae35a4bfa94901e6540f674fe0c7902326ddccf4
SHA512: e4dd606fc01f2dd5a76d22099cb2347cdb8476cb51de9eae0fb6670377e0d931113e17d02203f6323c5b797ce6b85486a7475cceba882c388288d1d011469abf
Homepage: https://cran.r-project.org/package=cofad
Description: CRAN Package 'cofad' (Contrast Analyses for Factorial Designs)
 Contrast analysis for factorial designs provides an alternative to the
 traditional ANOVA approach, offering the distinct advantage of testing
 targeted hypotheses. The foundation of this package is primarily rooted in
 the works of Rosenthal, Rosnow, and Rubin (2000, ISBN: 978-0521659802) as
 well as Sedlmeier and Renkewitz (2018, ISBN: 978-3868943214).

Package: r-cran-cofeaturer
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-lazyeval, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cofeaturer_1.1.1-1.ca2004.1_all.deb
Size: 53172
MD5sum: dfe5927df842eda0ae0ac72aff0011b1
SHA1: 7cd98aeac831d69a123535f714ff95bd7dfa1634
SHA256: 3f4326e0a1bfa915aae13a8b2daa33a57e9debd8be1c67857f79ef8c9d591457
SHA512: 14e25e27149812b694ad67dd7253985b5cb934e902eb0e4a27f53968472a83ebedf95fe205ca3f32d964af6ba643adea1fdfacd43ddbb03bfc7a91d0c9e3c51a
Homepage: https://cran.r-project.org/package=cofeatureR
Description: CRAN Package 'cofeatureR' (Generate Cofeature Matrices)
 Generate cofeature (feature by sample) matrices. The package utilizes
 ggplot2::geom_tile() to generate the matrix allowing for easy additions from
 the base matrix.

Package: r-cran-coffee
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 797
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rintcal, r-cran-rice
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-coffee_0.4.3-1.ca2004.1_all.deb
Size: 577928
MD5sum: 308432f9e1f4056f78a4416a47c8ff6b
SHA1: f5c5dd484c886179af57af74bc4b554ee992ed94
SHA256: 4422e1122e40770bc9d8b57fac0461bf8fa657687f9bbb522151e7e9e2fe9cca
SHA512: 6d50ca5f1f46c4e73da1deb847339d3e33ab363709356314ff20f5d6fb17e997be6cadedf57c1a92d9d91268430e9d66d4c03b86cef818201f4512079e0f26b2
Homepage: https://cran.r-project.org/package=coffee
Description: CRAN Package 'coffee' (Chronological Ordering for Fossils and Environmental Events)
 While individual calibrated radiocarbon dates can span several centuries,
 combining multiple dates together with any chronological constraints can
 make a chronology much more robust and precise. This package uses Bayesian
 methods to enforce the chronological ordering of radiocarbon and other
 dates, for example for trees with multiple radiocarbon dates spaced at
 exactly known intervals (e.g., 10 annual rings). For methods see Christen
 2003 <doi:10.11141/ia.13.2>. Another example is sites where the relative
 chronological position of the dates is taken into account - the ages of
 dates further down a site must be older than those of dates further up
 (Buck, Kenworthy, Litton and Smith 1991 <doi:10.1017/S0003598X00080534>;
 Nicholls and Jones 2001 <doi:10.1111/1467-9876.00250>). The paper
 accompanying this R package is Blaauw et al. 2024 <doi:10.1017/RDC.2024.56>.

Package: r-cran-cofid
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1534
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cofid_1.0.0-1.ca2004.1_all.deb
Size: 1459540
MD5sum: b07d638e3e3e4bb01975aa6050acddeb
SHA1: da62460a1f70dd47cf6125b4d74dc5c52edcfd18
SHA256: a5ab851d40d7b6819f2187b5d9aea4282a506e87cfda694d55d984793c82001a
SHA512: 03212c5a73e3dfeffebca09cbed88e210dfb46c4d67d22f7450a9c970c945f66b7c01a9c08a74ec03b3820689ca046a786fea396823f8d997d8e2e002c80551e
Homepage: https://cran.r-project.org/package=cofid
Description: CRAN Package 'cofid' (Copepod Fish Interaction Database)
 A curated list of copepod-fish ecological interaction records.  It contains
 the taxonomy of the copepod and the fish and the publication from which the
 information was obtained. This database contains only marine and brackish
 water fish species. It excludes fish species that inhabit only freshwater.

Package: r-cran-cofra
Architecture: all
Version: 0.1002-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3894
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cofra_0.1002-1.ca2004.1_all.deb
Size: 3879068
MD5sum: 83abdc8f419b877c34eb44455da59f07
SHA1: 057c7e2d639870a708c0ae9a2bf7c255ea66681c
SHA256: 39a4d1f19963e57a5cf3b38fdf59b587262aa88e9de03172b7b29e8c5231f083
SHA512: 5df1071c1ccacf35c80ab1873a113b711d115206e014e375c43f04b7c4be744ab566a0c8bfc6a72e929997f10cdf4b9be9413c6c0e8873d97a4fa870c876184b
Homepage: https://cran.r-project.org/package=CoFRA
Description: CRAN Package 'CoFRA' (Complete Functional Regulation Analysis)
 Calculates complete functional regulation analysis and visualize the results
 in a single heatmap. The provided example data is for biological data but
 the methodology can be used for large data sets to compare quantitative
 entities that can be grouped. For example, a store might divide entities
 into cloth, food, car products etc and want to see how sales changes in the
 groups after some event. The theoretical background for the calculations are
 provided in New insights into functional regulation in MS-based drug
 profiling, Ana Sofia Carvalho, Henrik Molina & Rune Matthiesen, Scientific
 Reports <doi:10.1038/srep18826>.

Package: r-cran-cogirt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 989
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-abind, r-cran-mvtnorm, r-cran-coda, r-cran-numderiv
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cogirt_1.0.0-1.ca2004.1_all.deb
Size: 854116
MD5sum: 3bb0c12f963257461ba20f6dbbb8c76e
SHA1: 7b3e195897609f25948a8537b7cb5b20dbc1f7f7
SHA256: a0328385209412d21c462c92e5185d3513c8d0ae75a7b69887d325588088fe5b
SHA512: 8480d7057a727cb5f09f17f6a7d8bf428c0fcb13a9b647a0126817a96cc69d931a46338ead706a89692e4442cbbe4db34f867dff7043454a7a12d9ab5cad121e
Homepage: https://cran.r-project.org/package=cogirt
Description: CRAN Package 'cogirt' (Cognitive Testing Using Item Response Theory)
 Psychometrically analyze latent individual differences related to tasks,
 interventions, or maturational/aging effects in the context of experimental
 or longitudinal cognitive research using methods first described by Thomas
 et al. (2020) <doi:10.1177/0013164420919898>.

Package: r-cran-cogmapr
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-bioc-rgraphviz, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-car
Filename: pool/dists/focal/main/r-cran-cogmapr_0.9.3-1.ca2004.1_all.deb
Size: 317052
MD5sum: 7242c6b10b96e70e4c52b34a6abeeffb
SHA1: 45a0aaf8c4e6b2b0e142ae81d6db92155189aa53
SHA256: ed5344d7d8cc35de4724d08e9b9db1f3ab94006dbb32cced1a3efe511d3506c6
SHA512: b1ec31ec874833031b91d9df1cde2eae871fd678e90bdfed290758fdb46bc70afe526976515a3348b9e9320ea3c9d8a5a396e50cec812f5c3c26794995b6407c
Homepage: https://cran.r-project.org/package=cogmapr
Description: CRAN Package 'cogmapr' (Cognitive Mapping Tools Based on Coding of Textual Sources)
 Functions for building cognitive maps based on qualitative data. Inputs are
 textual sources (articles, transcription of qualitative interviews of
 agents,...). These sources have been coded using relations and are linked to
 (i) a table describing the variables (or concepts) used for the coding and
 (ii) a table describing the sources (typology of agents, ...). Main outputs
 are Individual Cognitive Maps (ICM), Social Cognitive Maps (all sources or
 group of sources) and a list of quotes linked to relations. This package is
 linked to the work done during the PhD of Frederic M. Vanwindekens (CRA-W /
 UCL) hold the 13 of May 2014 at University of Louvain in collaboration with
 the Walloon Agricultural Research Centre (project MIMOSA, MOERMAN fund).

Package: r-cran-cognitor
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1546
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-config, r-cran-shinyjs, r-cran-httr, r-cran-dplyr, r-cran-base64enc, r-cran-jsonlite, r-cran-paws
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cognitor_1.0.5-1.ca2004.1_all.deb
Size: 1313804
MD5sum: 7ee0d6b1cebfc0b2b0296ab9fce63c5d
SHA1: 19eb8769f4f4f59fcb9cca063a450c4581ef7e30
SHA256: 2fd9e9427ebef6d6ad75e6bf8a6dfc1a12adfd30f5de5edb56c58679c142cbb3
SHA512: fd2b8645ce07c1bb6bc391fe225187ed9c6dbf328ab87ec6ff692e072df3121e5db877c6cb831e9ef4644363e3b3e58b9b557c7ae5aab527777312547a2f23f4
Homepage: https://cran.r-project.org/package=cognitoR
Description: CRAN Package 'cognitoR' (Authentication for 'Shiny' Apps with 'Amazon Cognito')
 Provides authentication for Shiny applications using 'Amazon Cognito' (
 <https://aws.amazon.com/es/cognito/>).

Package: r-cran-cohetsurr
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-mvtnorm, r-cran-mgcv, r-cran-grf
Filename: pool/dists/focal/main/r-cran-cohetsurr_2.0-1.ca2004.1_all.deb
Size: 239796
MD5sum: 72d33d97a2dfff411664a5c2ca2196d3
SHA1: 6a26a8e65e6da4a8727481662f74d2aa237a5326
SHA256: 58a30a2a4b4f26c189eb5b4d3ba4503f1a02e65d9a2ad1948e694a1cad60ffdd
SHA512: f7bd948202081d74c414992bb331f1568f8ee8df912a3ce8666e513ced02af34e4aa66bd89073cb620c4a4198f629572e3a9ae562ceb7ed2806d4d23143f5cba
Homepage: https://cran.r-project.org/package=cohetsurr
Description: CRAN Package 'cohetsurr' (Assessing Complex Heterogeneity in Surrogacy)
 Provides functions to assess complex heterogeneity in the strength of a
 surrogate marker with respect to multiple baseline covariates, in either a
 randomized treatment setting or observational setting. For a randomized
 treatment setting, the functions assess and test for heterogeneity using
 both a parametric model and a semiparametric two-step model. More details
 for the randomized setting are available in: Knowlton, R., Tian, L., &
 Parast, L. (2025). "A General Framework to Assess Complex Heterogeneity in
 the Strength of a Surrogate Marker," Statistics in Medicine, 44(5), e70001
 <doi:10.1002/sim.70001>. For an observational setting, functions in this
 package assess complex heterogeneity in the strength of a surrogate marker
 using meta-learners, with options for different base learners. More details
 for the observational setting will be available in the future in: Knowlton,
 R., Parast, L. (2025) "Assessing Surrogate Heterogeneity in Real World Data
 Using Meta-Learners." A tutorial for this package can be found at
 <https://www.laylaparast.com/cohetsurr>.

Package: r-cran-cohortalgebra
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 475
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-databaseconnector, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-sqlrender
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cohortalgebra_0.3.1-1.ca2004.1_all.deb
Size: 374744
MD5sum: e23b1e3d3cd5865e73bad42012992401
SHA1: 4c93cb2f7b01bff2d7319a75020ff7451dea6c7a
SHA256: d56e3320ca952547d736f550133a1bf5ca601626c03106c6e58759a052cc85ad
SHA512: c56f1086401926fcda1fb8ecbb0fca164597342deaf42021495aca2ecc69d75031ca8a653b43e0b72645b03aa0f752bd03d82448523bd49e05961042ab71e8e8
Homepage: https://cran.r-project.org/package=CohortAlgebra
Description: CRAN Package 'CohortAlgebra' (Use of Interval Algebra to Create New Cohort(s) from ExistingCohorts)
 This software tool is designed to generate new cohorts utilizing data from
 previously instantiated cohorts. It employs interval algebra operators such
 as UNION, INTERSECT, and MINUS to manipulate the data within the
 instantiated cohorts and create new cohorts.

Package: r-cran-cohortbuilder
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1039
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-glue, r-cran-ggplot2, r-cran-rlang, r-cran-formatr
Suggests: r-cran-querybuilder, r-cran-testthat, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cohortbuilder_0.3.0-1.ca2004.1_all.deb
Size: 553432
MD5sum: e10292fae8ada4db0c12ccd0b87f19b4
SHA1: 3f7a9321a0903df116c962c2883a5f850f6334b2
SHA256: 17e37d9728d782f039d85f2d79980b053656c6ab26baec0ee284fb0a7caa72fa
SHA512: 15fe30f5bf7c8b7d80c6ca05210a964a6506321e6d2f317afb6c40d2554452870c9c69bb2e6600d7f406ef593addba5467dc0aa1cd31de70b3a593cbab69c873
Homepage: https://cran.r-project.org/package=cohortBuilder
Description: CRAN Package 'cohortBuilder' (Data Source Agnostic Filtering Tools)
 Common API for filtering data stored in different data models.  Provides
 multiple filter types and reproducible R code.  Works standalone or with
 'shinyCohortBuilder' as the GUI for interactive Shiny apps.

Package: r-cran-cohortcharacteristics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6042
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-cli, r-cran-stringr, r-cran-omopgenerics, r-cran-patientprofiles, r-cran-snakecase, r-cran-lifecycle, r-cran-purrr
Suggests: r-cran-codelistgenerator, r-cran-visomopresults, r-cran-cohortconstructor, r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-drugutilisation, r-cran-dt, r-cran-duckdb, r-cran-flextable, r-cran-ggplot2, r-cran-ggpubr, r-cran-glue, r-cran-gt, r-cran-here, r-cran-hmisc, r-cran-htmltools, r-cran-knitr, r-cran-odbc, r-cran-omock, r-cran-plotly, r-cran-png, r-cran-reactable, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsvg, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tictoc, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cohortcharacteristics_1.0.0-1.ca2004.1_all.deb
Size: 2699184
MD5sum: 3f16807b44449f64c2fad52b37e6c7c1
SHA1: ce4869a7d453304055bad7f1e781f4a8ffc3da4e
SHA256: f848f0bc3b998a993d487ab23ebc8ab4b55f0d7c4e1069c8e5f6adfc5735d41c
SHA512: b3ba88f5799e76f9924ecd18792115c3efa7b585eaf648413a5f130e242444d9f43afc7561109450b534ea7c5f0003909a87cfcc86222a51f54ff26962048073
Homepage: https://cran.r-project.org/package=CohortCharacteristics
Description: CRAN Package 'CohortCharacteristics' (Summarise and Visualise Characteristics of Patients in the OMOPCDM)
 Summarise and visualise the characteristics of patients in data mapped to
 the Observational Medical Outcomes Partnership (OMOP) common data model
 (CDM).

Package: r-cran-cohortconstructor
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8273
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-checkmate, r-cran-cli, r-cran-clock, r-cran-dbplyr, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-omopgenerics, r-cran-patientprofiles, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-dbi, r-cran-codelistgenerator, r-cran-drugutilisation, r-cran-duckdb, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-stringr, r-cran-incidenceprevalence, r-cran-omock, r-cran-covr, r-cran-rpostgres, r-cran-odbc, r-cran-cohortcharacteristics, r-cran-ggplot2, r-cran-diagrammer, r-cran-visomopresults, r-cran-gt, r-cran-scales, r-cran-here, r-cran-ggpubr, r-cran-sqlrender, r-cran-circer, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-cohortconstructor_0.4.0-1.ca2004.1_all.deb
Size: 1475908
MD5sum: d5e7e484a4a333edf237a3d0b9dd6a2e
SHA1: 36b5ca4cf6446e4169303c6fed792087675d6913
SHA256: e71ccb49b4955634cab1d805b383d3bc44bc92b2cfe58ac762658c72dbb83735
SHA512: 97a2179bdefa7b609ed239c7d5788e86a38d51fbb8604d51ae4372bea3825fcb7a02416e556fb05076fdc07e85861a4fb2a3eeb89d92db32a72cca281c28009b
Homepage: https://cran.r-project.org/package=CohortConstructor
Description: CRAN Package 'CohortConstructor' (Build and Manipulate Study Cohorts Using a Common Data Model)
 Create and manipulate study cohorts in data mapped to the Observational
 Medical Outcomes Partnership Common Data Model.

Package: r-cran-cohortexplorer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 841
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-databaseconnector, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-parallellogger, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cohortexplorer_0.1.0-1.ca2004.1_all.deb
Size: 282572
MD5sum: 425bba3b0e75badc0ee29a2356a6987d
SHA1: 42d87201b7aec87bc1ada43fa020b3609a84ff8e
SHA256: 9d3b89d6ef961ed6adf6b65947b74b9e94da12bb5076a4bc811065bf8715dc8d
SHA512: 2b09e4f912cb66b90eab73571103b9b72858a4724f57f8e3c41280c7d5a4c4a159ada7710eac78bd65cf1b9f25a1f7e0c453f841dd8c5d06915202eba3c025cf
Homepage: https://cran.r-project.org/package=CohortExplorer
Description: CRAN Package 'CohortExplorer' (Explorer of Profiles of Patients in a Cohort)
 This software tool is designed to extract data from a randomized subset of
 individuals within a cohort and make it available for exploration in a shiny
 application environment. It retrieves date-stamped, event-level records from
 one or more data sources that represent patient data in the Observational
 Medical Outcomes Partnership (OMOP) data model format. This tool features a
 user-friendly interface that enables users to efficiently explore the
 extracted profiles, thereby facilitating applications, such as reviewing
 structured profiles.

Package: r-cran-cohortgenerator
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1946
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-databaseconnector, r-cran-r6, r-cran-checkmate, r-cran-digest, r-cran-dplyr, r-cran-lubridate, r-cran-parallellogger, r-cran-readr, r-cran-rlang, r-cran-rjsonio, r-cran-jsonlite, r-cran-resultmodelmanager, r-cran-sqlrender, r-cran-stringi, r-cran-tibble
Suggests: r-cran-circer, r-cran-eunomia, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-zip
Filename: pool/dists/focal/main/r-cran-cohortgenerator_0.11.2-1.ca2004.1_all.deb
Size: 1190328
MD5sum: e1fe6cde366ffe2ea7d1d9905a9aa875
SHA1: f482b2dc08ad633174d023ebaaf57c982eed16b2
SHA256: b5d5ffc2d2c69cf91d6cac313fa373797cd41e47077e50da475a7fb65abcba66
SHA512: 48c17f29d561ae400f58c362bcb38a10846b387b961b5786a4b868691d689e2d6324fe898861dc4e191c0f13b0c733e27cb599992e83c9e30f2e09a4b2f8d7d1
Homepage: https://cran.r-project.org/package=CohortGenerator
Description: CRAN Package 'CohortGenerator' (Cohort Generation for the OMOP Common Data Model)
 Generate cohorts and subsets using an Observational Medical Outcomes
 Partnership (OMOP) Common Data Model (CDM) Database.  Cohorts are defined
 using 'CIRCE' (<https://github.com/ohdsi/circe-be>) or SQL compatible with
 'SqlRender' (<https://github.com/OHDSI/SqlRender>).

Package: r-cran-cohortpathways
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-databaseconnector, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-sqlrender, r-cran-tidyr
Suggests: r-cran-remotes, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cohortpathways_0.0.1-1.ca2004.1_all.deb
Size: 32232
MD5sum: c799f3f66bd2e05f28a796317a1b1073
SHA1: 0d2310790b2ea78b68c49643882e55379ebcdc0d
SHA256: 8646f9d19cd3cbeba7c5a4182d7cc07b43a73e4e0103466a7b607d7a240c1f10
SHA512: 8e527f66016fcdd870e4ac98bf764b56b328a810d0662f784b32172111ae783c866a4170c86e267663af4e3c4f10c5cf3e6794390f2280d1f050d1ee47743d87
Homepage: https://cran.r-project.org/package=CohortPathways
Description: CRAN Package 'CohortPathways' (Create Pathways from Target to Event Cohorts)
 Software tool designed to compute the temporal relationship defined as
 pathways between any two instantiated cohorts. The cohorts are input as
 Target and event cohorts.

Package: r-cran-cohortplat
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-plotly, r-cran-tidyr, r-cran-doparallel, r-cran-foreach, r-cran-openxlsx, r-cran-forcats, r-cran-epitools, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dt, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-cohortplat_1.0.5-1.ca2004.1_all.deb
Size: 423956
MD5sum: c5910f60e0e68ad8ee4ae6a027d30e06
SHA1: 18664df348dcce2524bb942cd5c8bccda209bc4e
SHA256: 9896e3f992b1b6f8b1411caea5573c98b2226b22b6212f2a363a2a262568ccff
SHA512: 6750eef1cd7335b399ed85203bebf0f694c782b24ffcb7fc498cbd9c9923c5e1ea6fb88c169936a3c8fc8f642803bc947f36f6159d2197e272f28c0375573cdd
Homepage: https://cran.r-project.org/package=CohortPlat
Description: CRAN Package 'CohortPlat' (Simulation of Cohort Platform Trials for Combination Treatments)
 A collection of functions dedicated to simulating staggered entry platform
 trials whereby the treatment under investigation is a combination of two
 active compounds. In order to obtain approval for this combination therapy,
 superiority of the combination over the two active compounds and superiority
 of the two active compounds over placebo need to be demonstrated.  A more
 detailed description of the design can be found in Meyer et al.
 <DOI:10.1002/pst.2194> and a manual in Meyer et al. <arXiv:2202.02182>.

Package: r-cran-cohorts
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1317
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-dtplyr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cohorts_1.0.1-1.ca2004.1_all.deb
Size: 1298372
MD5sum: 5efb63e475e28438ea71f7cc101f3926
SHA1: 426c505cb8c09061a3f07ac09ed984dcd8825393
SHA256: 67b980d50186fc1019365dc6d24e4c88656c9517c6b77b85f45840baa63ab293
SHA512: b1b2431914b060102b295b7e269cb8b8e902b45b7b45c053bdd1a10b6d7a82fd09b603876d3ba4228a6bac441548239228b484989b09c6ecbed000efd7608922
Homepage: https://cran.r-project.org/package=cohorts
Description: CRAN Package 'cohorts' (Cohort Analysis Made Easy)
 Functions to simplify the process of preparing event and transaction for
 cohort analysis.

Package: r-cran-cohortsurvival
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2791
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-cdmconnector, r-cran-checkmate, r-cran-cli, r-cran-clock, r-cran-dbi, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-omopgenerics, r-cran-patientprofiles, r-cran-purrr, r-cran-rlang, r-cran-survival, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-codelistgenerator, r-cran-roxygen2, r-cran-knitr, r-cran-tictoc, r-cran-rmarkdown, r-cran-ggplot2, r-cran-patchwork, r-cran-cmprsk, r-cran-duckdb, r-cran-gt, r-cran-flextable, r-cran-scales, r-cran-visomopresults
Filename: pool/dists/focal/main/r-cran-cohortsurvival_1.0.2-1.ca2004.1_all.deb
Size: 1673336
MD5sum: 0f4d413fa09b27769b27f1f13066fa80
SHA1: eefa4e0bdedaac33ba31c2b4b52277e0c3b1153e
SHA256: 59784276c00af7cd4c5864d3868494c4acf2e05e58e3074fb751c625c88bc183
SHA512: f49c658efa6720586e5c008c0b0047bde2984440e2630cdba8e6f30363d72c334ab2a123d7631112ea9eb9964ca912ec6129a80ce8e5cb074f5302243a442256
Homepage: https://cran.r-project.org/package=CohortSurvival
Description: CRAN Package 'CohortSurvival' (Estimate Survival from Common Data Model Cohorts)
 Estimate survival using data mapped to the Observational Medical Outcomes
 Partnership common data model. Survival can be estimated based on
 user-defined study cohorts.

Package: r-cran-cohortsymmetry
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3582
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cdmconnector, r-cran-dplyr, r-cran-patientprofiles, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-here, r-cran-omopgenerics, r-cran-drugutilisation, r-cran-codelistgenerator
Suggests: r-cran-testthat, r-cran-dbi, r-cran-cli, r-cran-odbc, r-cran-rpostgres, r-cran-tidyselect, r-cran-knitr, r-cran-dbplyr, r-cran-omock, r-cran-visomopresults, r-cran-flextable, r-cran-gt, r-cran-ggplot2, r-cran-duckdb, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cohortsymmetry_0.2.4-1.ca2004.1_all.deb
Size: 1419532
MD5sum: 0335c779e2e9cde0d47a7b551b172d11
SHA1: e91fee4d0751a0319231e196950e7f670351d900
SHA256: 67ca1b4763769bab81f0353e40338ff4adaacb499044365d680a1642a8fc50be
SHA512: 3eb20f83d0112bf11b2e126aa2e3e16d7aca14950ae73b82034590c3d68027125bfda9cb3f625362192de2dbdb7c085276bf0c7051428ea22722e0e34f6abef1
Homepage: https://cran.r-project.org/package=CohortSymmetry
Description: CRAN Package 'CohortSymmetry' (Sequence Symmetry Analysis Using the Observational MedicalOutcomes Partnership Common Data Model)
 Calculating crude sequence ratio, adjusted sequence ratio and confidence
 intervals using data mapped to the Observational Medical Outcomes
 Partnership Common Data Model.

Package: r-cran-cohorttools
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-epi, r-cran-cmprsk, r-cran-ggplot2, r-cran-survival, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-rsvg, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-mstate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cohorttools_0.1.6-1.ca2004.1_all.deb
Size: 59584
MD5sum: 99ebf88a5b9b3e2b9cd6a3d63e123a55
SHA1: 28320443adeafbba15e6607a0d82c40d703b4279
SHA256: 58bc83df10de36ff91c3ce6be421e6aa8953691c0b81053af92120515eee87b7
SHA512: 6d806c5249264ce8a1409e17f7a08c3aabcead0426f99aadc71ded1ea5586fdf01203d547cb311d80750aa0ddab35c1df27ce4975c16f175c354be61d768b854
Homepage: https://cran.r-project.org/package=cohorttools
Description: CRAN Package 'cohorttools' (Cohort Data Analyses)
 Functions to make lifetables and to calculate hazard function estimate using
 Poisson regression model with splines. Includes function to draw simple
 flowchart of cohort study. Function boxesLx() makes boxes of transition
 rates between states. It utilizes 'Epi' package 'Lexis' data.

Package: r-cran-coil
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-aphid, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coil_1.2.4-1.ca2004.1_all.deb
Size: 170944
MD5sum: 966b153c0bc36647a28f448b6ce6983e
SHA1: d51f51ba7c9fd2c9723f10d53bfa1c2bc719b5dc
SHA256: a748b8a55c5805f785db15c7c7fd2e799019739f22da88628a058989b42d844c
SHA512: de823658e6a81b78e2d44e2b09242e7d8b1c6b164c0d5473da2b7b1b4afa7295f87190d3dc2dec294d8d2be60e906ac72ec79a982ea8accf358a265543357a46
Homepage: https://cran.r-project.org/package=coil
Description: CRAN Package 'coil' (Contextualization and Evaluation of COI-5P Barcode Data)
 Designed for the cleaning, contextualization and assessment of cytochrome c
 oxidase I DNA barcode data (COI-5P, or the five prime portion of COI). It
 contains functions for placing COI-5P barcode sequences into a common
 reading frame, translating DNA sequences to amino acids and for assessing
 the likelihood that a given barcode sequence includes an insertion or
 deletion error. The error assessment relies on the comparison of input
 sequences against nucleotide and amino acid profile hidden Markov models
 (PHMMs) (for details see Durbin et al. 1998, ISBN: 9780521629713) trained on
 a taxonomically diverse set of reference sequences. The functions are
 provided as a complete pipeline and are also available individually for
 efficient and targeted analysis of barcode data.

Package: r-cran-coimp
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-cluster, r-cran-nnet, r-cran-gtools, r-cran-locfit
Filename: pool/dists/focal/main/r-cran-coimp_2.1.0-1.ca2004.1_all.deb
Size: 231296
MD5sum: 9f6c2d0fbbd384daecdcfb66cced2be4
SHA1: 47906a948710ba705a093f6f0ff983132285f23c
SHA256: 834615f7880e8565b6fce6c3dd45cc0c2d894610a8cc9826e0945ba872a66a88
SHA512: 0a3661a0c2ee489ab534d31b06fa513b2f43c9987762ca841cf2b496391e421d1ca4c599889d9fd7675fc421a7c261edde16ce10432dc00253d744a7e8553d38
Homepage: https://cran.r-project.org/package=CoImp
Description: CRAN Package 'CoImp' (Parametric and Nonparametric Copula-Based Imputation Methods)
 Copula-based imputation methods: parametric and nonparametric algorithms for
 missing multivariate data through conditional copulas.

Package: r-cran-coinmarketcapr
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-ggplot2, r-cran-data.table, r-cran-curl, r-cran-cli, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-coinmarketcapr_0.4-1.ca2004.1_all.deb
Size: 74816
MD5sum: b2efd030839ed9cadae88fdd6209a880
SHA1: ff6b326f36c27ae517b85baf5e5c7d87b5fcec71
SHA256: 8e26e4bd31c94c697f82e28abf6f39b92b38672fe19a4c8c5f31ecddd0cbeb7c
SHA512: ac432e5f83da2b8fa0c4a7089b0c8cdd0c7f065afd05e60ec9a4928e7838e4764d26f8baba36d4dca0562f0c78caa5ab89321755ef8f3ef7bd7b3d4f3f145306
Homepage: https://cran.r-project.org/package=coinmarketcapr
Description: CRAN Package 'coinmarketcapr' (Get 'Cryptocurrencies' Market Cap Prices from Coin Market Cap)
 Extract and monitor price and market cap of 'Cryptocurrencies' from 'Coin
 Market Cap' <https://coinmarketcap.com/api/>.

Package: r-cran-coinmind
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-coinmind_1.1-1.ca2004.1_all.deb
Size: 49116
MD5sum: d0d0008fd2f9d488414ea91b8181ceea
SHA1: 4ad6e230a503bf71dec9a51fcf607ca0af29ae35
SHA256: 934007092e955e1d8f154e8512d2a50143d76f916c544aa732b6b63390c2bb6e
SHA512: bb33b21252041cfd63cb08914305dcbcc47315c3edd5f2984b37ed08929976c1516c316bdd4073a630cf01985c6256a90612c9fe8aaa404d44b2d09c93bfd35b
Homepage: https://cran.r-project.org/package=CoinMinD
Description: CRAN Package 'CoinMinD' (Simultaneous Confidence Interval for Multinomial Proportion)
 Methods for obtaining simultaneous confidence interval for multinomial
 proportion have been proposed by many authors and the present study include
 a variety of widely applicable procedures. Seven classical methods (Wilson,
 Quesenberry and Hurst, Goodman, Wald with and without continuity correction,
 Fitzpatrick and Scott, Sison and Glaz) and Bayesian Dirichlet models are
 included in the package. The advantage of MCMC pack has been exploited to
 derive the Dirichlet posterior directly and this also helps in handling the
 Dirichlet prior parameters.  This package is prepared to have equal and
 unequal values for the Dirichlet prior distribution that will provide better
 scope for data analysis and associated sensitivity analysis.

Package: r-cran-coinprofile
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-plyr, r-cran-coin, r-cran-rdpack, r-cran-exactranktests, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coinprofile_0.1.9-1.ca2004.1_all.deb
Size: 188060
MD5sum: df75eadfd0c9fae9876992c155c37580
SHA1: 81374636f1ab2dd6b6b041be6e8f4ee4280c6a58
SHA256: 2c5608e6cc9560db5ba58bdd6b4e38ad313a091408cb6c1ecf510f7d1b59def2
SHA512: fe61dbb5800b4f8341c75a2b79665791a76422f98512484f5e3518f23b6ac204e59d1f41fe5672f409c6977fdcaa61de247af36c9e1374686cbd51373df37343
Homepage: https://cran.r-project.org/package=Coinprofile
Description: CRAN Package 'Coinprofile' (Coincident Profile)
 Builds the coincident profile proposed by Martinez, W and Nieto, Fabio H and
 Poncela, P (2016) <doi:10.1016/j.spl.2015.11.008>.  This methodology studies
 the relationship between a couple of time series based on the the set of
 turning points of each time series. The coincident profile establishes if
 two time series are coincident, or one of them leads the second.

Package: r-cran-coinr
Architecture: all
Version: 1.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2583
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-rlang, r-cran-ggplot2, r-cran-readxl
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-knitr, r-cran-testthat, r-cran-matrixstats, r-cran-performance, r-cran-covr
Filename: pool/dists/focal/main/r-cran-coinr_1.1.14-1.ca2004.1_all.deb
Size: 1486900
MD5sum: b799638d1639f5193bcbbea9a4b254a3
SHA1: 017ae2d63a1bed597b38210bfe4a22fb819e9237
SHA256: bacd943a4d9499ecaa4e24e5c5c1dafa169f45630db264e6f1a5ac4021729c68
SHA512: 0436df563f994c3b0212113a54161a3cf332f4fe5ecae7de3236a49f5e0ed338969a410f6afd9b4372e66ff907708ebed0da2ba1b5b5ed784380b599eb9d95d1
Homepage: https://cran.r-project.org/package=COINr
Description: CRAN Package 'COINr' (Composite Indicator Construction and Analysis)
 A comprehensive high-level package, for composite indicator construction and
 analysis. It is a "development environment" for composite indicators and
 scoreboards, which includes utilities for construction (indicator selection,
 denomination, imputation, data treatment, normalisation, weighting and
 aggregation) and analysis (multivariate analysis, correlation plotting,
 short cuts for principal component analysis, global sensitivity analysis,
 and more). A composite indicator is completely encapsulated inside a single
 hierarchical list called a "coin". This allows a fast and efficient work
 flow, as well as making quick copies, testing methodological variations and
 making comparisons.  It also includes many plotting options, both
 statistical (scatter plots, distribution plots) as well as for presenting
 results.

Package: r-cran-cointmonitor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cointreg, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cointmonitor_0.1.0-1.ca2004.1_all.deb
Size: 156148
MD5sum: 8db8fc80f5c01868efe03c0d80defa07
SHA1: f9544f98b886831bc05003da7abc040288fc08cd
SHA256: 238089619afde87d5d5e6a1603322a16b41b2da57a8ffc2f770124f5ea87a402
SHA512: 46c9cc5f9c67d99a56046623885a1d9a33193d8656a07a354d37599aac36a481c2d89ac4ad812ea26cea3cf99773e81ea54b82ce4329077d1c349427485ad1be
Homepage: https://cran.r-project.org/package=cointmonitoR
Description: CRAN Package 'cointmonitoR' (Consistent Monitoring of Stationarity and CointegratingRelationships)
 We propose a consistent monitoring procedure to detect a structural change
 from a cointegrating relationship to a spurious relationship. The procedure
 is based on residuals from modified least squares estimation, using either
 Fully Modified, Dynamic or Integrated Modified OLS. It is inspired by Chu et
 al. (1996) <DOI:10.2307/2171955> in that it is based on parameter estimation
 on a pre-break "calibration" period only, rather than being based on
 sequential estimation over the full sample.  See the discussion paper
 <DOI:10.2139/ssrn.2624657> for further information.  This package provides
 the monitoring procedures for both the cointegration and the stationarity
 case (while the latter is just a special case of the former one) as well as
 printing and plotting methods for a clear presentation of the results.

Package: r-cran-cointreg
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-mass, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cointreg_0.2.0-1.ca2004.1_all.deb
Size: 155348
MD5sum: f994abc722d35baf256ccd9e4582e3f2
SHA1: e5cc7d46a0f1fbcb1533f4f1ff7a923ac39eafcf
SHA256: 5240b68b4c22fb804b7fa0875a2bdb1195f57c808a2f46b9ba04c33cd5081594
SHA512: 9307678b048811332db49ff7bdb3d161bb3b48e1f84810bc715e290dd63da617fee20ac8bd89d4032a5dee38ed45281b55fa7341e92b000219440922b0733f68
Homepage: https://cran.r-project.org/package=cointReg
Description: CRAN Package 'cointReg' (Parameter Estimation and Inference in a Cointegrating Regression)
 Cointegration methods are widely used in empirical macroeconomics and
 empirical finance. It is well known that in a cointegrating regression the
 ordinary least squares (OLS) estimator of the parameters is
 super-consistent, i.e. converges at rate equal to the sample size T. When
 the regressors are endogenous, the limiting distribution of the OLS
 estimator is contaminated by so-called second order bias terms, see e.g.
 Phillips and Hansen (1990) <DOI:10.2307/2297545>.  The presence of these
 bias terms renders inference difficult. Consequently, several modifications
 to OLS that lead to zero mean Gaussian mixture limiting distributions have
 been proposed, which in turn make standard asymptotic inference feasible.
 These methods include the fully modified OLS (FM-OLS) approach of Phillips
 and Hansen (1990) <DOI:10.2307/2297545>, the dynamic OLS (D-OLS) approach of
 Phillips and Loretan (1991) <DOI:10.2307/2298004>, Saikkonen (1991)
 <DOI:10.1017/S0266466600004217> and Stock and Watson (1993)
 <DOI:10.2307/2951763> and the new estimation approach called integrated
 modified OLS (IM-OLS) of Vogelsang and Wagner (2014)
 <DOI:10.1016/j.jeconom.2013.10.015>. The latter is based on an augmented
 partial sum (integration) transformation of the regression model. IM-OLS is
 similar in spirit to the FM- and D-OLS approaches, with the key difference
 that it does not require estimation of long run variance matrices and avoids
 the need to choose tuning parameters (kernels, bandwidths, lags). However,
 inference does require that a long run variance be scaled out.  This package
 provides functions for the parameter estimation and inference with all three
 modified OLS approaches. That includes the automatic bandwidth selection
 approaches of Andrews (1991) <DOI:10.2307/2938229> and of Newey and West
 (1994) <DOI:10.2307/2297912> as well as the calculation of the long run
 variance.

Package: r-cran-colf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlsr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-colf_0.1.3-1.ca2004.1_all.deb
Size: 54940
MD5sum: 21b5335f00ecb6de928ec6dadbdc4bec
SHA1: 329322ca0e874dc1666920adc24f3d6d5103f65f
SHA256: fb7eed8cf91bc338b1d1debb7252132c39055774805028b34d9d10680d128376
SHA512: fdbc1fd245ede45ad4811bad1c33487adec1f695efeeee7f0312415be06ee2e48e86d16b7dc25143b862a6bcd8fcbeae64f85765fa828e8972e70f9a48a2deb8
Homepage: https://cran.r-project.org/package=colf
Description: CRAN Package 'colf' (Constrained Optimization on Linear Function)
 Performs least squares constrained optimization on a linear objective
 function. It contains a number of algorithms to choose from and offers a
 formula syntax similar to lm().

Package: r-cran-collapselevels
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-lazyeval, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-collapselevels_0.3.0-1.ca2004.1_all.deb
Size: 99224
MD5sum: 679e281a500b0b997535b6cc26e6a84c
SHA1: 7c5b1ac1673a81f0ccab658a64762546f7390816
SHA256: 4ee2c02c8f65cfc7ec82fcc95eb56c078acf598c724789b1b56bb545f15620b0
SHA512: faaca539ddeaac871e3b592336b668e5045b76da4023d22f78509740f0c92e2b1df12e3f8c25610d415fa0050cb6b81cb00ffbccdcb75632e05107291801cf55
Homepage: https://cran.r-project.org/package=CollapseLevels
Description: CRAN Package 'CollapseLevels' (Collapses Levels, Computes Information Value and WoE)
 Contains functions to help in selecting and exploring features ( or
 variables ) in binary classification problems.  Provides functions to
 compute and display information value and weight of evidence (WoE) of the
 variables , and to convert numeric variables to categorical variables by
 binning.  Functions are also provided to determine which levels ( or
 categories ) of a categorical variable can be collapsed (or combined ) based
 on their response rates.  The functions provided only work for binary
 classification problems.

Package: r-cran-collapsibletree
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2760
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-data.tree
Suggests: r-cran-colorspace, r-cran-rcolorbrewer, r-cran-dplyr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-collapsibletree_0.1.8-1.ca2004.1_all.deb
Size: 709664
MD5sum: 5ebb5a1812a3e2ce80adee82087f7d31
SHA1: e31024880bdc6bf19a3a7c31954b369befe54733
SHA256: c57203c0026e17586bb4d3818302f1d74b080e82ca441009e8df349d40f370f0
SHA512: aceb4345e8ef8641abc5df75f89a4bb784d4e0b8800b6a8e8f2b374f2d9c27616f9470d8a80a8314fece126da471368338ed402d96ce65d4a13c18ce3522dd44
Homepage: https://cran.r-project.org/package=collapsibleTree
Description: CRAN Package 'collapsibleTree' (Interactive Collapsible Tree Diagrams using 'D3.js')
 Interactive Reingold-Tilford tree diagrams created using 'D3.js', where
 every node can be expanded and collapsed by clicking on it.  Tooltips and
 color gradients can be mapped to nodes using a numeric column in the source
 data frame.  See 'collapsibleTree' website for more information and
 examples.

Package: r-cran-collateral
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 482
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-crayon, r-cran-pillar
Suggests: r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-furrr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-collateral_0.5.2-1.ca2004.1_all.deb
Size: 321368
MD5sum: 4c88d3ddc7d11aa4b35f60190ed3dfd8
SHA1: 4bb44a585223dafbea48d78243446832ad57de1a
SHA256: d8d4032f91210efef5edbd88616c9726c678827b7bb9e5b0e46e103862587acd
SHA512: 6a987d985c900d82963e6cb0a235b0c3159bac7ffaa5dd00ec093ce9385f59595d4914b224fe88efd59474774404e2173fa7560f729b526849ac625977f850b3
Homepage: https://cran.r-project.org/package=collateral
Description: CRAN Package 'collateral' (Quickly Evaluate Captured Side Effects)
 Map functions while capturing results, errors, warnings, messages and other
 output tidily, then filter and summarise data frames or lists on the basis
 of those side effects.

Package: r-cran-collatz
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gmp
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-devtools, r-cran-covr, r-cran-dt, r-cran-pkgdown, r-cran-servr, r-cran-tinytex, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-collatz_1.0.0-1.ca2004.1_all.deb
Size: 55952
MD5sum: 366941229def6f5a65b7cd91e1030065
SHA1: 8b2efa64582dc32ec33934d9537b628ef64bb152
SHA256: d1ddecefc3df3a4081db504dbd7f2ae72f5f15f4148a2314966755d9da7d7932
SHA512: 1f8be1d056ee8b34551b0c8d94dc1aafdb677ca3247db10873132d2f19c703e4b18b95afc35144a18fca9119f8aee75e7575cebc3d74d7b9ddbac855cd7e650b
Homepage: https://cran.r-project.org/package=collatz
Description: CRAN Package 'collatz' (Functions Related to the Collatz/Syracuse/3n+1 Problem)
 Provides the basic functionality to interact with the Collatz conjecture.
 The parameterisation uses the same (P,a,b) notation as Conway's
 generalisations.  Besides the function and reverse function, there is also
 functionality to retrieve the hailstone sequence, the "stopping time"/"total
 stopping time", or tree-graph.  The only restriction placed on parameters is
 that both P and a can't be 0.  For further reading, see
 <https://en.wikipedia.org/wiki/Collatz_conjecture>.

Package: r-cran-collectargs
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-collectargs_0.4.0-1.ca2004.1_all.deb
Size: 23700
MD5sum: 309f4afe6c992ad9266a040457db126d
SHA1: 92f5f25c10f4962f654190f22c765ea6dab162c7
SHA256: d660db91a109f79ed3691cd46bd5ddad7f404d33ab560eee0bdf3ded0e81d988
SHA512: 14d6669d1de2712ccd4c55f4099f83f23a8c8f07698d957c9bd99628aa50b01160fb060e0e7dc2959163d998739e04fdc64b5ad0bfca91d202d5abb4d5569ce3
Homepage: https://cran.r-project.org/package=collectArgs
Description: CRAN Package 'collectArgs' (Quickly and Neatly Collect Arguments from One Environment toPass to Another)
 We often want to take all (or most) of the objects in one environment (such
 as the parameter values of a function) and pass them to another. This might
 be calling a second function, or iterating over a list, calling the same
 function. These functions wrap often repeated code.  Current stable version
 (committed on October 14, 2017).

Package: r-cran-collegescorecard
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4437
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-collegescorecard_0.2.0-1.ca2004.1_all.deb
Size: 4430984
MD5sum: 6406d34551320c834a98ea41048017c8
SHA1: 8512e0c8418134a873429ae5637effd19e939e5a
SHA256: 9826322607dbb69fe494f813cedaccc17c7c35f953fb52e1fd9bcf0e5a798c02
SHA512: cfc3e4455c7de4b49e4314788120c3885cac91c20f1be5c3354894c9c334a130465ad7a923890001974ff0dc09628f7de04f0359392e56265cf20c393353ae84
Homepage: https://cran.r-project.org/package=collegeScorecard
Description: CRAN Package 'collegeScorecard' (US College Scorecard Data)
 Provides a tidied subset of the US College Scorecard dataset, containing
 institutional characteristics, enrollment, student aid, costs, and student
 outcomes at institutions of higher education in the United States.

Package: r-cran-collett
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-collett_0.1.0-1.ca2004.1_all.deb
Size: 237120
MD5sum: 32c9fda67712f886181267250562312e
SHA1: ef79e6a0b040534e4d300517cf25da02964aa903
SHA256: 3ee79c3fba6499c66f3f4c0f0141640b9d9f1ef4fb06692f491155a57395db1f
SHA512: 4456af91d33e305d714023678f2b31762997d48b3dc42c15ecca33bf7c02be8b243df319969390f0c963448c222a2cd9a786871d6e368822e73fcb531c01b24a
Homepage: https://cran.r-project.org/package=collett
Description: CRAN Package 'collett' (Datasets from "Modelling Survival Data in Medical Research" byCollett)
 Datasets for the book entitled "Modelling Survival Data in Medical Research"
 by Collett (2023) <doi:10.1201/9781003282525>. The datasets provide
 extensive examples of time-to-event data.

Package: r-cran-collidr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3957
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-collidr_0.1.3-1.ca2004.1_all.deb
Size: 3946480
MD5sum: 0f585f0c84e20e8bc5f9d9706d3423e7
SHA1: 325a6abd13bc68dcb6b035f869e6aebfafbdcd42
SHA256: 9b7c021e1ce42bbe02bfa8cb6e94cc940d56f20668b20cc1b28357ecfc61a39d
SHA512: ed7c328e0efbbb1b198d1e7b448824d5757326e643438250873ea9ac95562258b1532d1566be7c5af73567da4a4beef9ef774c8e857219d7176194fc148e003f
Homepage: https://cran.r-project.org/package=collidr
Description: CRAN Package 'collidr' (Check for Namespace Collisions Across Packages and Functions onCRAN)
 Check for namespace collisions between a string input (your function or
 package name) and half a million packages and functions on CRAN.

Package: r-cran-collin
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dlnm, r-cran-mass, r-cran-mgcv, r-cran-nlme, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-collin_0.0.4-1.ca2004.1_all.deb
Size: 727208
MD5sum: 5caa18ee3afffcbb16be17f884968de4
SHA1: 11b61d8073fa33887c554c2a980b73973cd468f0
SHA256: 52f2eeb592093e1ba9fdcffa13774ffe0bd4ca49870ff087d9ec2dd0b0ec26f6
SHA512: 062afb491e3de51c78a7b2a2b45f880ab7189b8c9b98b9396f0c2a01427d726129e835691ea60cbebed4c22332b91f73550c3d4845e86ff891dde6ec349848b9
Homepage: https://cran.r-project.org/package=collin
Description: CRAN Package 'collin' (Visualization the Effects of Collinearity in Distributed LagModels and Other Linear Models)
 Tool to assessing whether the results of a study could be influenced by
 collinearity. Simulations under a given hypothesized truth regarding effects
 of an exposure on the outcome are used and the resulting curves of lagged
 effects are visualized. A user's manual is provided, which includes detailed
 examples (e.g. a cohort study looking for windows of vulnerability to air
 pollution, a time series study examining the linear association of air
 pollution with hospital admissions, and a time series study examining the
 non-linear association between temperature and mortality). The methods are
 described in Basagana and Barrera-Gomez (2021) <doi:10.1093/ije/dyab179>.

Package: r-cran-collinear
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3955
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-progressr, r-cran-future.apply, r-cran-mgcv, r-cran-rpart, r-cran-ranger
Suggests: r-cran-future, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-collinear_2.0.0-1.ca2004.1_all.deb
Size: 3935084
MD5sum: f114f1b4c187b2b6030e4aa80682c9d8
SHA1: d95c4f246dc34929f94c79002b246f975b8df9d3
SHA256: a1d1c602fc590afbb27a6b2bb9aedc50a697f5f16c085bec4a95cab9fac96da1
SHA512: 2668e796967147f4a0aac9078313ffeaa1e3564f3c370f612493cacfca77c089dd382f6703a7a3b6af0d2be54eec731bb784309ce63be4ef3804148a7652703c
Homepage: https://cran.r-project.org/package=collinear
Description: CRAN Package 'collinear' (Automated Multicollinearity Management)
 Effortless multicollinearity management in data frames with both numeric and
 categorical variables for statistical and machine learning applications. The
 package simplifies multicollinearity analysis by combining four robust
 methods: 1) target encoding for categorical variables (Micci-Barreca, D.
 2001 <doi:10.1145/507533.507538>); 2) automated feature prioritization to
 prevent key variable loss during filtering; 3) pairwise correlation for all
 variable combinations (numeric-numeric, numeric-categorical,
 categorical-categorical); and 4) fast computation of variance inflation
 factors.

Package: r-cran-collocinfer
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2336
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-mass, r-cran-matrix, r-cran-spam, r-cran-desolve
Suggests: r-cran-pomp, r-cran-sparsem, r-cran-subplex, r-cran-trust, r-cran-maxlik
Filename: pool/dists/focal/main/r-cran-collocinfer_1.0.5-1.ca2004.1_all.deb
Size: 1125392
MD5sum: 19fc0c03fd36482773b00c89ad27379f
SHA1: 0c9e91047d05115029c7dd471319660c4b3a856e
SHA256: 3699b9c5e0b3d000bc4c6e6f10d2e98d0b12809e55fe5f5055a4385973191260
SHA512: 87499e6b0d7f1fadd489b1ec92a1c535d4cee5fb308853ff8d03089734d10d9bbf533048335a73faf2765ba02f43b67cf22b41521de8d5370fedd02b54f5094d
Homepage: https://cran.r-project.org/package=CollocInfer
Description: CRAN Package 'CollocInfer' (Collocation Inference for Dynamic Systems)
 These functions implement collocation-inference for continuous-time and
 discrete-time stochastic processes.  They provide model-based smoothing,
 gradient-matching, generalized profiling and forwards prediction error
 methods.

Package: r-cran-colmozzie
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-colmozzie_1.1.1-1.ca2004.1_all.deb
Size: 19004
MD5sum: c625ddc92c76bb51de2b9172fdcf64f4
SHA1: 012be65de12464e7756340e482478ed68bfc8d82
SHA256: e53d7b437e35ef9b90f0d25647c0e955d4256c9be63d25a486892a6e847862ef
SHA512: fb84104c5ea5ae13757a5cf5502f450074015f2e1b7df55b5e364da11ec924474ad19c231e576848aaec512cafc2ff94e51bb9c4a4fa3ea1643f5cf9bd8c1207
Homepage: https://cran.r-project.org/package=colmozzie
Description: CRAN Package 'colmozzie' (Dengue Cases and Climate Variables in Colombo Sri Lanka)
 Weekly notified dengue cases and climate variables in Colombo district Sri
 Lanka from 2008/ week-52 to 2014/ week-21.

Package: r-cran-coloc
Architecture: all
Version: 5.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4467
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-viridis, r-cran-susier
Suggests: r-cran-knitr, r-cran-testthat, r-cran-mvtnorm, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coloc_5.2.3-1.ca2004.1_all.deb
Size: 3686716
MD5sum: 5751653716efb3f670cda14e3cbed01d
SHA1: 0ba11e0b3163d431c0a6315614a1f41a6e4879d7
SHA256: 32a1d7de41a2e07415a505cce4978e16907724f050a4c4464726e56f3a1a3e4a
SHA512: 2fdeed555f3fb8113b62d4a9500da960f1dba4e1b6a7514b5fffcfc31f91ceb3d0c2f5b02aa8d6011db0e2833815a251e1b0a193cd35c6ffbb4542584524d8af
Homepage: https://cran.r-project.org/package=coloc
Description: CRAN Package 'coloc' (Colocalisation Tests of Two Genetic Traits)
 Performs the colocalisation tests described in Giambartolomei et al (2013)
 <doi:10.1371/journal.pgen.1004383>, Wallace (2020)
 <doi:10.1371/journal.pgen.1008720>, Wallace (2021)
 <doi:10.1371/journal.pgen.1009440>.

Package: r-cran-colocalization
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-colocalization_1.0.2-1.ca2004.1_all.deb
Size: 125276
MD5sum: 7d3275ab37d53ab0715327e73f397d10
SHA1: 0596ceb70e8c030594ba7eb4928f00cce09c9cfd
SHA256: 14b4e49fb85bcf4bc0dc819b2dfa21435d226a76d2c155bda5fea95c10c77e31
SHA512: 3cd211ec6ecf0d0e97824449308ca4d36a0d95b750aa69a0661f3e2aa9a64977380ce053499d9c61e8df07f9063964676910e346741799153557e1317c428243
Homepage: https://cran.r-project.org/package=colocalization
Description: CRAN Package 'colocalization' (Normalized Spatial Intensity Correlation)
 Calculate the colocalization index, NSInC, in two different ways as
 described in the paper (Liu et al., 2019. Manuscript submitted for
 publication.) for multiple-species spatial data which contain the precise
 locations and membership of each spatial point. The two main functions are
 nsinc.d() and nsinc.z(). They provide the Pearson’s correlation coefficients
 of signal proportions in different memberships within a concerned proximity
 of every signal (or every base signal if single direction colocalization is
 considered) across all (base) signals using two different ways of
 normalization. The proximity sizes could be an individual value or a range
 of values, where the default ranges of values are different for the two
 functions.

Package: r-cran-colocalized
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1854
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-colocalized_0.2.0-1.ca2004.1_all.deb
Size: 1815808
MD5sum: d85353fa4769886fa4309e2c13f5945c
SHA1: 8bb5a8457baf747e6a7fe22b70ff18e5999a33d9
SHA256: 71dda6a4256e4971c8739de5f9df25b8f9bc35bff1e4bee9f238ef0a6866b5b4
SHA512: 96d165d7c4729cc2d9249e9cd0b3dee3b36663332dd5f75e96c1710cba08362e6fc4183f3cdb0b739dace392c90717da9853c6cbbf9d21a6697f9fdf8a1faee3
Homepage: https://cran.r-project.org/package=colocalized
Description: CRAN Package 'colocalized' (Clusters of Colocalized Sequences)
 Also abbreviates to "CCSeq". Finds clusters of colocalized sequences in .bed
 annotation files up to a specified cut-off distance. Two sequences are
 colocalized if they are within the cut-off distance of each other, and
 clusters are sets of sequences where each sequence is colocalized to at
 least one other sequence in the cluster. For a set of .bed annotation tables
 provided in a list along with a cut-off distance, the program will output a
 file containing the locations of each cluster. Annotated .bed files are from
 the 'pwmscan' application at <https://ccg.epfl.ch/pwmtools/pwmscan.php>.
 Personal machines might crash or take excessively long depending on the
 number of annotated sequences in each file and whether chromsearch() or
 gensearch() is used.

Package: r-cran-colocboost
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4503
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rfast, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ashr, r-cran-mass, r-cran-susier
Filename: pool/dists/focal/main/r-cran-colocboost_1.0.4-1.ca2004.1_all.deb
Size: 3242612
MD5sum: b3c579ce329977c80668d2cd4829b661
SHA1: 171c209ee980754ddc35e684b528492738b86892
SHA256: e3b1b11e2108ee914dd18745fb0532cb397e0b2304c1a11dee2d9cad296414c5
SHA512: 968aeae13128430f1c81577af5d19dc5692a8d43bd17bdfe4191b0f9131c7ec3ebbd373fc90e331d47a080fbdd58acb4c57b496ef8f97a070926de249c03ec1d
Homepage: https://cran.r-project.org/package=colocboost
Description: CRAN Package 'colocboost' (Multi-Context Colocalization Analysis for QTL and GWAS Studies)
 A multi-task learning approach to variable selection regression with highly
 correlated predictors and sparse effects, based on frequentist statistical
 inference. It provides statistical evidence to identify which subsets of
 predictors have non-zero effects on which subsets of response variables,
 motivated and designed for colocalization analysis across genome-wide
 association studies (GWAS) and quantitative trait loci (QTL) studies.  The
 ColocBoost model is described in Cao et. al. (2025)
 <doi:10.1101/2025.04.17.25326042>.

Package: r-cran-colocproptest
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-data.table, r-cran-car, r-cran-coloc
Suggests: r-cran-knitr, r-cran-plotrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-colocproptest_0.9.1-1.ca2004.1_all.deb
Size: 237092
MD5sum: ccb215fc2e00809a2bd4526e63a89341
SHA1: 1f5b94523bbde238234650e24ba527387ea611dd
SHA256: 9b0d31230970c5500b1946a958df5b445a1c1c0e3f12348559e64d8fedf6bded
SHA512: c7bf142f3b497dde738ac11d36af6d1c0a018842164adb19825098a9792657348db5cff597d65f64b89edd028d2f3b95f4fa85d93f012c133d1f9fe3da0bac3a
Homepage: https://cran.r-project.org/package=colocPropTest
Description: CRAN Package 'colocPropTest' (Proportional Testing for Colocalisation Analysis)
 Colocalisation analysis tests whether two traits share a causal genetic
 variant in a specified genomic region. Proportional testing for
 colocalisation has been previously proposed [Wallace (2013)
 <doi:10.1002/gepi.21765>], but is reimplemented here to overcome barriers to
 its adoption. Its use is complementary to the fine- mapping based
 colocalisation method in the 'coloc' package, and may be used in particular
 to identify false "H3" conclusions in 'coloc'.

Package: r-cran-colocr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4540
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-magick, r-cran-shiny, r-cran-scales, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-purrr, r-cran-shinybs
Filename: pool/dists/focal/main/r-cran-colocr_0.1.1-1.ca2004.1_all.deb
Size: 3695216
MD5sum: a6ddbd06ff6a7c47169c30676089c40b
SHA1: b57b87bf11d47f426ad0fb47ddd2cd7b3f9391c3
SHA256: 6203591cd419da5fd913efae2f859ce05903e8095a96f7f281d1d195e6880aab
SHA512: 9d0d8f500fb38231fe1107834e24c203bed3008ff1a973d87ad1c55335f40fc67ee1263cd45b48c140a27d0665cf8e41669f4157ce38c6f1101731c5662ddba0
Homepage: https://cran.r-project.org/package=colocr
Description: CRAN Package 'colocr' (Conduct Co-Localization Analysis of Fluorescence MicroscopyImages)
 Automate the co-localization analysis of fluorescence microscopy images.
 Selecting regions of interest, extract pixel intensities from the image
 channels and calculate different co-localization statistics. The methods
 implemented in this package are based on Dunn et al. (2011)
 <doi:10.1152/ajpcell.00462.2010>.

Package: r-cran-colombiapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-colombiapi_0.1.1-1.ca2004.1_all.deb
Size: 699004
MD5sum: 8327d30f9162eddf6cc74fedb402c3f2
SHA1: 89d3e3f38c6b7ccef58bb1a4138b286d0ad90938
SHA256: 3937ef7678b2f128dc3049c9d0d70ec1847ea4e4c378209f50e8c5a7879a2e5b
SHA512: 0d64ed3f19d4a5b3ec44ecdb7dd52ea8705c7deb82a55200620f02325f37e2cdad02f084e871aecb3b846ba0ca9529db2a97fff4a288f9eb39afab041f99620a
Homepage: https://cran.r-project.org/package=ColombiAPI
Description: CRAN Package 'ColombiAPI' (Access Colombia's Public Data via 'API-Colombia')
 Provides a seamless interface to access diverse public data about Colombia
 through the 'API-Colombia', a RESTful API. The package enables users to
 explore various aspects of Colombia, including general information,
 geography, and cultural insights. It includes five API-related functions to
 retrieve data on topics such as Colombia's general information, airports,
 departments, regions, and presidents. Additionally, 'ColombiAPI' offers a
 built-in function to view the datasets available within the package. The
 package also includes curated datasets covering Bogota air stations,
 business and holiday dates, public schools, Colombian coffee exports,
 cannabis licenses, Medellin rainfall, and malls in Bogota, making it a
 comprehensive tool for exploring Colombia's data. For more details on the
 'API-Colombia', see <https://api-colombia.com/>.

Package: r-cran-colopendata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1745
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-config, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-sf, r-cran-stringdist, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-leaflet, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-colopendata_1.0.0-1.ca2004.1_all.deb
Size: 1143020
MD5sum: c8e30a990ff3a63df542eef89c4e8833
SHA1: bb159628aacf0e2629d43412aaad5a8c1ae47ed7
SHA256: a67ff238c0970c93feff276561b54f6d23c12e2f42135548c776b0142324dbdc
SHA512: 39d83c93babe1dde31b28b5d32c4dedd5775fc81edefb930c6bf0d44d15b07162b264e916f24031ac0379faf4d8872bd8a723440ec50ee583a23a1bea6835c84
Homepage: https://cran.r-project.org/package=ColOpenData
Description: CRAN Package 'ColOpenData' (Download Colombian Demographic, Climate and Geospatial Data)
 Downloads wrangled Colombian socioeconomic, geospatial,population and
 climate data from DANE <https://www.dane.gov.co/> (National Administrative
 Department of Statistics) and IDEAM (Institute of Hydrology, Meteorology and
 Environmental Studies). It solves the problem of Colombian data being issued
 in different web pages and sources by using functions that allow the user to
 select the desired database and download it without having to do the
 exhausting acquisition process.

Package: r-cran-colorblindcheck
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-colorspace, r-cran-spacesxyz
Suggests: r-cran-rcartocolor, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-colorblindcheck_1.0.2-1.ca2004.1_all.deb
Size: 52484
MD5sum: 98dd10a17ed35e03fb2251576368f644
SHA1: 976f5ee26d5f9ad3fe0c5ccefc61dc156ca7caed
SHA256: d8102e00cc3e672c93fc89fde54a14559fee4c4d818bf31b1f80e4274436858a
SHA512: 5964300bdd0143ac8668c1247d465381b0981c928460e1347d2dca8e856e99e94c144c1af5d77c084dbadb4a37e847ab72d5a45588cbf31bb0b91f6b816ef12a
Homepage: https://cran.r-project.org/package=colorblindcheck
Description: CRAN Package 'colorblindcheck' (Check Color Palettes for Problems with Color Vision Deficiency)
 Compare color palettes with simulations of color vision deficiencies -
 deuteranopia, protanopia, and tritanopia.  It includes calculation of
 distances between colors, and creating summaries of differences between a
 color palette and simulations of color vision deficiencies.  This work was
 inspired by the blog post at
 <http://www.vis4.net/blog/2018/02/automate-colorblind-checking/>.

Package: r-cran-colorblindness
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-colorspace, r-cran-gridgraphics, r-cran-gtable
Suggests: r-cran-knitr, r-cran-reshape2, r-cran-png, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-colorblindness_0.1.9-1.ca2004.1_all.deb
Size: 3504172
MD5sum: 87ca5452892d52e7ea5a958638411119
SHA1: 16dab996a35fa9a474f6228b9999c209ccc2b767
SHA256: 0c0728edcdf3b4726878151007d37685303633299f62e3fd2f4c9a1549441254
SHA512: c6eb1a5592b83052c34d6e6b745a1ae83a2957397758d90c7c3ddf3af166fc823ad3756901c33b3c369b7847b00bd7eabff6127a431c9056d6851f82bb8b0970
Homepage: https://cran.r-project.org/package=colorBlindness
Description: CRAN Package 'colorBlindness' (Safe Color Set for Color Blindness)
 Provide the safe color set for color blindness, the simulator of protanopia,
 deuteranopia.  The color sets are collected from: Wong, B. (2011)
 <doi:10.1038/nmeth.1618>, and <http://mkweb.bcgsc.ca/biovis2012/>.  The
 simulations of the appearance of the colors to color-deficient viewers were
 based on algorithms in Vienot, F., Brettel, H. and Mollon, J.D. (1999)
 <doi:10.1002/(SICI)1520-6378(199908)24:4%3C243::AID-COL5%3E3.0.CO;2-3>.  The
 cvdPlot() function to generate 'ggplot' grobs of simulations were modified
 from <https://github.com/clauswilke/colorblindr>.

Package: r-cran-colordf
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1585
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-fansi, r-cran-htmltools, r-cran-data.table, r-cran-testthat, r-cran-tibble, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-colordf_0.1.7-1.ca2004.1_all.deb
Size: 561464
MD5sum: b0e87119e5208d70d50c8640085e376b
SHA1: ad6305da15f928ceb9b127be2c4c42723e1da089
SHA256: 5491468ec17e7e5aa7b4f8920b09752b8d8ec1361a66be310ab684a5fef5b590
SHA512: 047e4f33f1506cca4b0a172924bbf75986eb78f6dd6960d28810fd5390ee850a4debb1babecb6df796c32d08539e5fc7674dfae4898077223902a3f073ac0d64
Homepage: https://cran.r-project.org/package=colorDF
Description: CRAN Package 'colorDF' (Colorful Data Frames in R Terminal)
 Colorful Data Frames in the terminal. The new class does change the
 behaviour of any of the objects, but adds a style definition and a print
 method. Using ANSI escape codes, it colors the terminal output of data
 frames. Some column types (such as p-values and identifiers) are
 automatically recognized.

Package: r-cran-colordistance
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2482
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-png, r-cran-clue, r-cran-ape, r-cran-mgcv, r-cran-emdist, r-cran-scatterplot3d, r-cran-plotly, r-cran-gplots, r-cran-abind, r-cran-magrittr, r-cran-scales, r-cran-qpdf, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-colordistance_1.1.2-1.ca2004.1_all.deb
Size: 1592560
MD5sum: 7037764dc90836ddaa95a4b713d7f9b9
SHA1: a9000fb6e4a5c242894621f35fae328a5bd0a1b6
SHA256: 8c61c3a39eff1218e1ceaf984a216e19cc51c3c5ced0201be79a74f00014e60c
SHA512: 98e89759bd923316d2166b8e26f52cca66daab18e370562c22d65730b2f7c4c7a5cf6e9be1a5b81c629487364b6419531442fb532bfd028f0ed9b863d65708c6
Homepage: https://cran.r-project.org/package=colordistance
Description: CRAN Package 'colordistance' (Distance Metrics for Image Color Similarity)
 Loads and displays images, selectively masks specified background colors,
 bins pixels by color using either data-dependent or automatically generated
 color bins, quantitatively measures color similarity among images using one
 of several distance metrics for comparing pixel color clusters, and clusters
 images by object color similarity. Uses CIELAB, RGB, or HSV color spaces.
 Originally written for use with organism coloration (reef fish color
 diversity, butterfly mimicry, etc), but easily applicable for any image set.

Package: r-cran-coloredica
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-fastica
Filename: pool/dists/focal/main/r-cran-coloredica_1.0.0-1.ca2004.1_all.deb
Size: 78084
MD5sum: 71b134ba767da3bcfdfebb3b448cfeda
SHA1: 77ce8f37ad4d2f715e60b87487b5e15d09f6d8f4
SHA256: 127599c559c5b3d206dbbb5763b767fbf2c9dc7b283a7d008f13e139c84fdf09
SHA512: 373e57ad83ee1d399e3cd138527c040a030de138166b073cfccee7b0ca90c8af64a42cecd16d9ab8db385dce7a5b19bedc1d9c3d36e32d7e2b804eaf9e0f39a5
Homepage: https://cran.r-project.org/package=coloredICA
Description: CRAN Package 'coloredICA' (Implementation of Colored Independent Component Analysis andSpatial Colored Independent Component Analysis)
 It implements colored Independent Component Analysis (Lee et al., 2011) and
 spatial colored Independent Component Analysis (Shen et al., 2014). They are
 two algorithms to perform ICA when sources are assumed to be temporal or
 spatial stochastic processes, respectively.

Package: r-cran-colorfindr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-stringr, r-cran-pixmap, r-cran-tibble, r-cran-treemap, r-cran-rsvg, r-cran-png, r-cran-jpeg, r-cran-tiff, r-cran-bmp, r-cran-dplyr, r-cran-plotly, r-cran-magrittr, r-cran-plotwidgets
Filename: pool/dists/focal/main/r-cran-colorfindr_0.1.5-1.ca2004.1_all.deb
Size: 423368
MD5sum: 38c2caa0bc5dd84faf7ed0498ecfec7d
SHA1: 53fa6c9560a482336e914a4cb6ac0b6c3513c75b
SHA256: 877ed50445ff5be80a2a104ffcf2f31b643e83b3cf8a492c98606d75d4d87b45
SHA512: af561885aa32f648c941293f914d66f4e9da54f118755ae0c7e0d308c764a0665dc53048fa389a040177ab0936cd25a891950601577aaad87233f5b8eb57ecc6
Homepage: https://cran.r-project.org/package=colorfindr
Description: CRAN Package 'colorfindr' (Extract Colors from Windows BMP, JPEG, PNG, TIFF, and SVG FormatImages)
 Extracts colors from various image types, returns customized reports and
 plots treemaps and 3D scatterplots of image compositions. Color palettes can
 also be created.

Package: r-cran-colorfulvennplot
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-colorfulvennplot_2.4-1.ca2004.1_all.deb
Size: 69720
MD5sum: 2023b973104bbd06595d1f4f49204868
SHA1: f4e3a776c7e0ca064119c5f22cc7f8a1e75859a3
SHA256: 2d8c54db73ed1bb1e916657e1f6a32bbc80dfab94630359e3f8cf4d97623e887
SHA512: 6a931aca8aa88a93284e3c1cb1a65b710e398b32326a9e7750b306a52bdd90f43549f5260758f9b51cb96de16f9bda285853713cb18cfe3c166207aa7ce5bbeb
Homepage: https://cran.r-project.org/package=colorfulVennPlot
Description: CRAN Package 'colorfulVennPlot' (Plot and add custom coloring to Venn diagrams for 2-dimensional,3-dimensional and 4-dimensional data)
 Given 2-,3- or 4-dimensional data, plots a Venn diagram, i.e. 'crossing
 circles'. The user can specify values, labels for each circle-group and
 unique colors for each plotted part. Here is what it would look like for a
 3-dimensional plot:
 http://elliotnoma.files.wordpress.com/2011/02/venndiagram.png. To see what
 the 4-dimensional plot looks like, go to
 http://elliotnoma.files.wordpress.com/2013/03/4dplot.png.

Package: r-cran-colorhcplot
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 648
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-colorhcplot_1.5.1-1.ca2004.1_all.deb
Size: 476760
MD5sum: 2190acd9aa3a2db36752088dec5e777f
SHA1: 09d4e6fa5e726ea13736684ef63391ecbd2deb37
SHA256: dec8c6c3b57e1c53faf784797d919389f5afa5b5dde65480ea716bdc32746e3c
SHA512: 060bd7485a4966ab15aa5f7347ce66e2d9705bc4dd48d2121b50ceddb97f30690d2544353715daa1d67dd18c255e5f035b71ab57f94c77b1682eee95d802615d
Homepage: https://cran.r-project.org/package=colorhcplot
Description: CRAN Package 'colorhcplot' (Colorful Hierarchical Clustering Dendrograms)
 Build dendrograms with sample groups highlighted by different colors.
 Visualize results of hierarchical clustering analyses as dendrograms whose
 leaves and labels are colored according to sample grouping. Assess whether
 data point grouping aligns to naturally occurring clusters.

Package: r-cran-colorhex
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3965
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-ggplot2, r-cran-httr2, r-cran-rvest
Suggests: r-cran-spelling, r-cran-scales
Filename: pool/dists/focal/main/r-cran-colorhex_0.1.4-1.ca2004.1_all.deb
Size: 2873788
MD5sum: ec4841e480e760a0116cf25d5280862f
SHA1: 37f544ec36f7821e63fb3bea78c8f9a6728b8e19
SHA256: b1ab204b6fc5007305e159fae9bea4439c1da4e780d9f374e68cb80f11f37b01
SHA512: 0ee8375d63f2b655cc6bd612f0a2bb8056ee0a34dff8accf36a8a089de4980c864eb111b68055609d86c6e4b096c767fe6e2f5d05b06e2995c6514289082ba11
Homepage: https://cran.r-project.org/package=colorhex
Description: CRAN Package 'colorhex' (Colors and Palettes from Color-Hex)
 The website <https://www.color-hex.com> is a great resource of hex colour
 codes and palettes. This package allows you to retrieve palettes and colour
 information from the website directly from R. There are also custom
 scale-functions for 'ggplot2'.

Package: r-cran-colorist
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1483
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace, r-cran-ggplot2, r-cran-magrittr, r-cran-raster, r-cran-rlang, r-cran-scales, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-sf, r-cran-rnaturalearth, r-cran-tigris
Filename: pool/dists/focal/main/r-cran-colorist_0.1.3-1.ca2004.1_all.deb
Size: 1167560
MD5sum: bc5a55e731055c437e019551e546401f
SHA1: 30f3c9b36658d75df7b3d0ec20de79840d300136
SHA256: 78d797fc31110af727d5237068e670318d47aa22d26054e1e6ab15cacc3f2f9f
SHA512: a568ed6cb09055429a864f9dd61e9f637033000a648abf5ff90c5519508a9436ef8747301621e3fe7fb9b976fcc85b473d3b3296e1d3753f10733378f07f9b70
Homepage: https://cran.r-project.org/package=colorist
Description: CRAN Package 'colorist' (Coloring Wildlife Distributions in Space-Time)
 Color and visualize wildlife distributions in space-time using raster data.
 In addition to enabling display of sequential change in distributions
 through the use of small multiples, 'colorist' provides functions for
 extracting several features of interest from a sequence of distributions and
 for visualizing those features using HCL (hue-chroma-luminance) color
 palettes. Resulting maps allow for "fair" visual comparison of intensity
 values (e.g., occurrence, abundance, or density) across space and time and
 can be used to address questions about where, when, and how consistently a
 species, group, or individual is likely to be found.

Package: r-cran-colorizer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-magick, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-gifski
Filename: pool/dists/focal/main/r-cran-colorizer_0.1.0-1.ca2004.1_all.deb
Size: 42532
MD5sum: 42a801bc105cebe34033a3e07f1b5d16
SHA1: f20885c6299dc0ba1d99bdd1c436c5e83a5c21e0
SHA256: 22ce21bb75c83d290c7ae14da3a65c7d6f34e2a6644044c51f3a80ed02656e7d
SHA512: 974bb3eb204b34316e79b687d3efaf519a1e7d4e09aeb1260faee79594937a6492a4b525a6e853a05e27699b528f9b42131f312bb1924d925538c5fc71ef2072
Homepage: https://cran.r-project.org/package=colorizer
Description: CRAN Package 'colorizer' (Colorize Old Images Using the 'DeOldify' Image Colorization API)
 Call the 'DeOldify' <https://github.com/jantic/DeOldify> image colorization
 API on 'DeepAI'<https://deepai.org/machine-learning-model/colorizer> to
 colorize black and white images.

Package: r-cran-colormap
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8, r-cran-stringr, r-cran-ggplot2
Suggests: r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-colormap_0.1.4-1.ca2004.1_all.deb
Size: 39288
MD5sum: d4cec2fdf3ef1d87da6f2897cfb0ea48
SHA1: 8987adbe09cf8b42f81a2513c6f2302888ac11c6
SHA256: 201b5f574e856874d5f0bcbcdb3fcfc427f7d856ff5568b878943f1c2dfc90b6
SHA512: 526d61bf2bf09854eb3e389c82fcdd68d12dc44ce44b5461156c293249f88681aa6be637fd6a07a4b2f7677d63712685f8ed7fa23dd9921425e32b689cd34c4c
Homepage: https://cran.r-project.org/package=colormap
Description: CRAN Package 'colormap' (Color Palettes using Colormaps Node Module)
 Allows to generate colors from palettes defined in the colormap module of
 'Node.js'. (see <https://github.com/bpostlethwaite/colormap> for more
 information). In total it provides 44 distinct palettes made from sequential
 and/or diverging colors. In addition to the pre defined palettes you can
 also specify your own set of colors. There are also scale functions that can
 be used with 'ggplot2'.

Package: r-cran-colornamer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-purrr
Suggests: r-cran-tibble, r-cran-testthat, r-cran-ggplot2, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-colornamer_0.1.0-1.ca2004.1_all.deb
Size: 76080
MD5sum: 39fcb9bbe93384637c92928ba83792ae
SHA1: 562ba1095d53e0e6af4123f88168c139356dc586
SHA256: 2e4445b96fe64876655cc73f90ddbe3b15a51162c8ef631c246d4b2bc044f771
SHA512: 29e59bec1c097efa46d80c915d20ce814df170c1c7d53f8317fea1ffde0ce0770e164ac43207f5cb0914350c3a1a4fad829173b67e38a41de375d93ce051c9af
Homepage: https://cran.r-project.org/package=ColorNameR
Description: CRAN Package 'ColorNameR' (Give Colors a Name)
 A tool for transforming coordinates in a color space to common color names
 using data from the Royal Horticultural Society and the International Union
 for the Protection of New Varieties of Plants.

Package: r-cran-colorpalette
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-colorpalette_1.0-1-1.ca2004.1_all.deb
Size: 26852
MD5sum: ad97474db807bbf9c2bca9a93c058ed0
SHA1: 57ae590e3b92a3f3083297e3dad04dc9464703c2
SHA256: 5700711e6760eba2af2ea649237b2c5b712ea23b1b300c648ce517b10f11e7a0
SHA512: adf2672f21250f8a7968bd61ac4ce394cd394127849ee1f83998ecbb5357c5c8842411541f0825eb9210aa4ae3d0ed64ea5bb433be713b23c4191f5ddc6945f1
Homepage: https://cran.r-project.org/package=ColorPalette
Description: CRAN Package 'ColorPalette' (Color Palettes Generator)
 Different methods to generate a color palette based on a specified base
 color and a number of colors that should be created.

Package: r-cran-colorpatch
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-colorspace, r-cran-gridextra, r-cran-tsp
Suggests: r-cran-plotly, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-colorpatch_0.1.2-1.ca2004.1_all.deb
Size: 189520
MD5sum: e2a83f3da9a7b3fd8edaef623c6721cb
SHA1: 3c9233f00cf252931391d71e553c4b6eb310cd00
SHA256: a74f113255a7b0962f6ea0e1d88862e74f2cb4a622921e857036d1806ea0eea8
SHA512: 9aeffaf0b5a4f03e31d3d82e6925653583661c74a3a173add1881ad8b61808a83a6a0f58641ebf2ed771f68d2292b143cac1563cb4b44feabb6163f7986bd014
Homepage: https://cran.r-project.org/package=colorpatch
Description: CRAN Package 'colorpatch' (Optimized Rendering of Fold Changes and Confidence Values)
 Shows color patches for encoding fold changes (e.g. log ratios) together
 with confidence values within a single diagram. This is especially useful
 for rendering gene expression data as well as other types of differential
 experiments. In addition to different rendering methods (ggplot extensions)
 functionality for perceptually optimizing color palettes are provided.
 Furthermore the package provides extension methods of the colorspace
 color-class in order to simplify the work with palettes (a.o. length,
 as.list, and append are supported).

Package: r-cran-colorplane
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-colorplane_0.5.0-1.ca2004.1_all.deb
Size: 154780
MD5sum: 14e64f5aef69c24361293bcd859c47ab
SHA1: 5b00d61b7bb1e1a3cf1eb99768ff205560b9cd15
SHA256: bbe76ab836bcccb6ea69addcc7c9d86c9d07f31f13f5d4d2b563d60a45d51e08
SHA512: 73d26d95cacd24e9fa0c544091e0628fcb273797e0904f45c17d0033087e7c0718d4d1ede7f53a3df71a22af7174df4e80d3e95e0319e8a9bee3271317e8544d
Homepage: https://cran.r-project.org/package=colorplane
Description: CRAN Package 'colorplane' (Basic S4 Classes and Methods for Mapping Between Numeric Valuesand Colors)
 A simple set of classes and methods for mapping between scalar intensity
 values and colors. There is also support for layering maps on top of one
 another using alpha composition.

Package: r-cran-colorr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-colorr_1.0.0-1.ca2004.1_all.deb
Size: 30972
MD5sum: a494afc66fed9d1dc14cf5a9b3486df1
SHA1: b7177c18de09e41e6dd410c9447153f958b314b4
SHA256: 285c396bd816279d538a6c354fe9148f6f52c482b483557930838f7bb5f07fd3
SHA512: 28a7912d158534ec837b6379daa5d65dd4aec76f11203f2115eab6f29d23275d896c28c5ac2e761988fe072467eaec0c4a6b1c9e501168ce26f7d5f9d3bd71d7
Homepage: https://cran.r-project.org/package=colorr
Description: CRAN Package 'colorr' (Color Palettes for EPL, MLB, NBA, NHL, and NFL Teams)
 Color palettes for EPL, MLB, NBA, NHL, and NFL teams.

Package: r-cran-colorramp2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-colorspace
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-colorramp2_0.1.0-1.ca2004.1_all.deb
Size: 62976
MD5sum: 6bbabd9309a200e6f1a8a962c7575c27
SHA1: 4d734f4382d61a5343d74b74e77a86da90764e52
SHA256: b83b039b9121e6eda158931e2bbfc774cc931071d952810d24a3acca4a4b444d
SHA512: ff0420b63828e91c118ced4fcecf6ff6b5f2a00dfc48d9cfd7ab9ee2358659535d0d808feff090a027f6e9e182bf04e9012c91c9d81cf44c8ade6ddff56a7b5e
Homepage: https://cran.r-project.org/package=colorRamp2
Description: CRAN Package 'colorRamp2' (Generate Color Mapping Functions)
 A color mapping is generated according to the break values and corresponding
 colors.  Other colors are generated by interpolating in a certain color
 space. The functions were part of the 'circlize' package
 <https://CRAN.R-project.org/package=circlize>.

Package: r-cran-colorramps
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-colorramps_2.3.4-1.ca2004.1_all.deb
Size: 28572
MD5sum: 37922c46ffa5adbc20051f010fb42448
SHA1: cfe037737bb84e0ce87375fb45f9fd5027d904b9
SHA256: 3fdb4f9a23983d8346015178c1e57ddf7f7efa8bf5a94b71d55decc489f0ff12
SHA512: 2f87ee053a079f17d64e0c142d52df94777ad92b8c9150909e11e86afc34125584446e77b79d2f0b9b347dcf55437009fa26e730a1931a8252a548e8714cd001
Homepage: https://cran.r-project.org/package=colorRamps
Description: CRAN Package 'colorRamps' (Builds Color Tables)
 Builds gradient color maps.

Package: r-cran-colorrepel
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-matrix, r-cran-distances, r-cran-dqrng, r-cran-gtools, r-cran-purrr, r-cran-dplyr, r-cran-plyr, r-cran-stringr, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggalt, r-cran-plotly, r-cran-knitr, r-cran-png, r-cran-polychrome
Suggests: r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-colorrepel_0.4.1-1.ca2004.1_all.deb
Size: 1265464
MD5sum: f6702cd18897a76020b3071ddd79f79e
SHA1: 8904ef497938a81a4ae9c27189c98dfef2e82ba1
SHA256: a41a39a78b1253cb3c95f2ab8bd35e3880ae0fe3200e5134e0cf727fc05e264e
SHA512: ffced2509697a34dbc4798dabf3143e5a10b80a10ce838534fc0aa5c9b6f799592c855e7e289e812beedbc5ee8897ee1c6404c0206fe17372029e3b73c2ef60c
Homepage: https://cran.r-project.org/package=colorrepel
Description: CRAN Package 'colorrepel' (Repel Visually Similar Colors for Colorblind Users in VariousPlots)
 Iterate and repel visually similar colors away in various 'ggplot2' plots.
 When many groups are plotted at the same time on multiple axes, for instance
 stacked bars or scatter plots, effectively ordering colors becomes
 difficult. This tool iterates through color combinations to find the best
 solution to maximize visual distinctness of nearby groups, so plots are more
 friendly toward colorblind users. This is achieved by two distance
 measurements, distance between groups within the plot, and CIELAB color
 space distances between colors as described in Carter et al., (2018)
 <doi:10.25039/TR.015.2018>.

Package: r-cran-colors3d
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-combinat, r-cran-fnn, r-cran-plyr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-colors3d_1.0.1-1.ca2004.1_all.deb
Size: 248588
MD5sum: 9918527348e1142efffed9d2800749e5
SHA1: 1b5b2ef5492922b694e8659d2346607a1c755048
SHA256: 318115ccc46eba72af53aeade013a9b48f0457b0a658fe2f6fc41e6f9147c708
SHA512: e77b88579d599e02a71330db273911c551ab8b928903a950f11d12d2d69e5b7cedaeab9a88f31e835d4e737be300b2d982f91efeb5b44c02f05e2f65871c9204
Homepage: https://cran.r-project.org/package=colors3d
Description: CRAN Package 'colors3d' (Generate 2D and 3D Color Palettes)
 Generate multivariate color palettes to represent two-dimensional or
 three-dimensional data in graphics (in contrast to standard color palettes
 that represent just one variable). You tell 'colors3d' how to map color
 space onto your data, and it gives you a color for each data point. You can
 then use these colors to make plots in base 'R', 'ggplot2', or other
 graphics frameworks.

Package: r-cran-colorscience
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2202
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc, r-cran-pracma, r-cran-sp
Filename: pool/dists/focal/main/r-cran-colorscience_1.0.9-1.ca2004.1_all.deb
Size: 2108632
MD5sum: c85fedf99617f805a64bf3c259b07f02
SHA1: 883237dfff9bfadf09adbf3c455f087948dda09b
SHA256: cb18a14eb682b8c0b8902279a489bf5622074069e08efc40044b9f753e9ef95f
SHA512: a1bc28356cb1bddbaa637f3e5d3781d08f5aa39c9a3c5bc786b630170fff018ef8e7d2a7ea1ac7563517c3f1d170120f8b5449d03165e40b1e330568b1136e71
Homepage: https://cran.r-project.org/package=colorscience
Description: CRAN Package 'colorscience' (Color Science Methods and Data)
 Methods and data for color science - color conversions by observer,
 illuminant, and gamma. Color matching functions and chromaticity diagrams.
 Color indices, color differences, and spectral data conversion/analysis.
 This package is deprecated and will someday be removed; for reasons and
 details please see the README file.

Package: r-cran-colorsgen
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-colorsgen_1.0.0-1.ca2004.1_all.deb
Size: 22752
MD5sum: aab7de8ff6c09cc21b60465e22895088
SHA1: d7d757c19fe901659a9163ad9f21d722819f2810
SHA256: 1e4ae786306320fc0650c5175f6865de4dad2588b056023357696220f122c7f9
SHA512: b029fc54bccc499c1f943236fdf377fb4bf54690318d77e02cc3e6f371ac1b0ba2f8f3c8c36bbdbc8a5c024124262912277899d0bf1a66f8acd276638fc2478f
Homepage: https://cran.r-project.org/package=colorsGen
Description: CRAN Package 'colorsGen' (Generation of Random Colors)
 Generation of random colors, possibly with a given hue or a given
 luminosity. This is a port of the JavaScript library 'randomColor'
 <https://randomcolor.lllllllllllllllll.com/>.

Package: r-cran-colorspec
Architecture: all
Version: 1.8-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5025
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-logger
Suggests: r-cran-spacesxyz, r-cran-rootsolve, r-cran-mass, r-cran-quadprog, r-cran-rgl, r-cran-spacesrgb, r-cran-zonohedra, r-cran-microbenchmark, r-cran-arrangements, r-cran-knitr, r-cran-rmarkdown, r-cran-png
Filename: pool/dists/focal/main/r-cran-colorspec_1.8-0-1.ca2004.1_all.deb
Size: 3135208
MD5sum: 85892ac267dd3ff420672dc6cf04e9fa
SHA1: 9387b1aaf6e54f90c76f66412655f8191a5d72ad
SHA256: 354eb2a6b9ff7c7e9014f3c44b534157bce3b7b875bfe5e5c0199a485f49cb2c
SHA512: 7ef98c39d0fbe07f2421a847a09b69ed40cb82fb52dc96c536c44ef980c63ec33740f3429f79350b6a2c9b8524daeb50dcff58f03f1ab8ec8df330834dbd0f2b
Homepage: https://cran.r-project.org/package=colorSpec
Description: CRAN Package 'colorSpec' (Color Calculations with Emphasis on Spectral Data)
 Calculate with spectral properties of light sources, materials, cameras,
 eyes, and scanners.  Build complex systems from simpler parts using a
 spectral product algebra. For light sources, compute CCT, CRI, SSI, and IES
 TM-30 reports.  For object colors, compute optimal colors and Logvinenko
 coordinates.  Work with the standard CIE illuminants and color matching
 functions, and read spectra from text files, including CGATS files.
 Estimate a spectrum from its response. A user guide and 9 vignettes are
 included.

Package: r-cran-colortools
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-colortools_0.1.5-1.ca2004.1_all.deb
Size: 68652
MD5sum: 985df2d96c811526b8372dd8231c55bb
SHA1: e80c2861d31c77981560c8af17c01919fdb06ec9
SHA256: 9a90252dbb9af97ae95d1aabe6af707e2abf4b97ba6c4c7552767f4139979c0b
SHA512: 22ddd34cfddf46aeb9b17624dff112090bee70342e29f635dcb8a76706466d1df847436c2768e42e9e3ce15e5a0aab5f8bb8e55357e1a55fcd1f05161600017a
Homepage: https://cran.r-project.org/package=colortools
Description: CRAN Package 'colortools' (Tools for colors in a Hue-Saturation-Value (HSV) color model)
 R package with handy functions to help users select and play with color
 schemes in an HSV color model

Package: r-cran-colour
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3424
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-jpeg, r-cran-png, r-cran-httr, r-cran-pixmap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales
Filename: pool/dists/focal/main/r-cran-colour_0.1.1-1.ca2004.1_all.deb
Size: 2549488
MD5sum: 40bb1da345931fe3cba65c9d0390e4e4
SHA1: 1ddd395134a5e8d0743209094238877f64d78f6e
SHA256: 96acd62e192b37cf0f4fef3e0ab80e27ca5f77590f3bbc3e3bc59f3f2ebf98c4
SHA512: 0d02224dd51f9bfab54cf122951dffac3c451d85dfbf8a99a82e0610e45552351021b493cc5bbc495e8c166e7d633492aa8b989a136d7951627f2f501f4c0795
Homepage: https://cran.r-project.org/package=colouR
Description: CRAN Package 'colouR' (Create Colour Palettes from Images)
 Can take in images in either .jpg, .jpeg, or .png format and creates a
 colour palette of the most frequent colours used in the image. Also provides
 some custom colour palettes.

Package: r-cran-colourlovers
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-jsonlite, r-cran-httr, r-cran-png
Suggests: r-cran-httptest, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-colourlovers_0.3.6-1.ca2004.1_all.deb
Size: 71652
MD5sum: 5682a330b38e9f15dca2c650e9675e34
SHA1: 27189e2e47987f50d4885fd97413f6bf1bb51d2e
SHA256: 3d9b351816275b108a06f539676a2231dbee3e5cd623dc9c854a5b224b0f3926
SHA512: ab6d4d5c52c105ac5e77add42d475f755c6f6c9490b069455de40d5f6a8c8d81022cad674d648059dd0e8817c37272ec0e4a581d5febb8bbc2d8291d210acf2e
Homepage: https://cran.r-project.org/package=colourlovers
Description: CRAN Package 'colourlovers' (R Client for the COLOURlovers API)
 Provides access to the COLOURlovers <https://www.colourlovers.com/> API,
 which offers color inspiration and color palettes.

Package: r-cran-colourpicker
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1698
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-miniui, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shinydisconnect
Filename: pool/dists/focal/main/r-cran-colourpicker_1.3.0-1.ca2004.1_all.deb
Size: 1239928
MD5sum: b4edd42da555a5cc8a14b63db6cc994d
SHA1: f34359883b18485e1f1c4b8793680c25e891c757
SHA256: 5bd69a337bb9f60365161e8338f5212b64c30f0b6dd8c4b2469a8daa5b18aa77
SHA512: f83c52b7957d35bfc4bffa73a8bff4136e7a84816b82ef8b1ac5d5e987bcfda06fe34e46a4b96ccd640c0ee59cad80a4608f3b5036ef6a395245395d53184c57
Homepage: https://cran.r-project.org/package=colourpicker
Description: CRAN Package 'colourpicker' (A Colour Picker Tool for Shiny and for Selecting Colours inPlots)
 A colour picker that can be used as an input in 'Shiny' apps or Rmarkdown
 documents. The colour picker supports alpha opacity, custom colour palettes,
 and many more options. A Plot Colour Helper tool is available as an
 'RStudio' Addin, which helps you pick colours to use in your plots. A more
 generic Colour Picker 'RStudio' Addin is also provided to let you select
 colours to use in your R code.

Package: r-cran-colourvision
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-corrplot, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-colourvision_2.1.0-1.ca2004.1_all.deb
Size: 692872
MD5sum: 56ff72312511d1678c04fed947a08676
SHA1: dc7febd54d09b3403754fa7ecb12f639e140eb27
SHA256: e7ab4f4b61dea5246984ab34063ae8b9e298334cbf990f4ac914fb6cf18d950f
SHA512: 31fe892bbf4929383e7cfd54116cf8e9f4ee420b3942c3e601ddf723a5f611f0980523a7b0755d2d8b871cb6b94848b9d4f050330bbf5526eb2fc35c93168195
Homepage: https://cran.r-project.org/package=colourvision
Description: CRAN Package 'colourvision' (Colour Vision Models)
 Colour vision models, colour spaces and colour thresholds. Provides
 flexibility to build user-defined colour vision models for n number of
 photoreceptor types. Includes Vorobyev & Osorio (1998) Receptor Noise
 Limited models <doi:10.1098/rspb.1998.0302>, Chittka (1992) colour hexagon
 <doi:10.1007/BF00199331>, and Endler & Mielke (2005) model
 <doi:10.1111/j.1095-8312.2005.00540.x>. Models have been extended to accept
 any number of photoreceptor types.

Package: r-cran-colp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-colp_1.0.0-1.ca2004.1_all.deb
Size: 21824
MD5sum: d6a458db5d575d2fe5224c710e48a34f
SHA1: 2dc06627c7156b7e3879bd0f1d93e6bb7b8fc2e5
SHA256: 0cd55b67bfa921271054ee071b464ec95c4a809af9b3557f9aa5b271f540e1af
SHA512: 4f6c39e1ecadcba0ea73dd46bb537ba99b3b7a98895af02b9c883150dae215846b6b50f8088efcf9b58f3a8b38178e2d12a2245d6ed025daaa1338aab7c770a1
Homepage: https://cran.r-project.org/package=COLP
Description: CRAN Package 'COLP' (Causal Discovery for Categorical Data with Label Permutation)
 Discover causality for bivariate categorical data. This package aims to
 enable users to discover causality for bivariate observational categorical
 data. See Ni, Y. (2022) <arXiv:2209.08579> "Bivariate Causal Discovery for
 Categorical Data via Classification with Optimal Label Permutation. Advances
 in Neural Information Processing Systems 35 (in press)".

Package: r-cran-colr
Architecture: all
Version: 0.1.900-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-colr_0.1.900-1.ca2004.1_all.deb
Size: 24100
MD5sum: 142d4e41f02706d58359042a5031cdc8
SHA1: f798dc28d991b39001e1f22abb9f9ee89deb4dd0
SHA256: a1d7ef45fb5d88c6d3e10b6da8ea630ae5f1086caa2974779fb39a507d3509d8
SHA512: 14e1354bc3609129aac20128881cb611d8c6caade62138d5c0e0737034bbd4558c1b18a8432f81a257b8665cabfa6c3dbf1fa9a5cfdc2c585b37372dabe0a976
Homepage: https://cran.r-project.org/package=colr
Description: CRAN Package 'colr' (Functions to Select and Rename Data)
 Powerful functions to select and rename columns in dataframes, lists and
 numeric types by 'Perl' regular expression. Regular expression ('regex') are
 a very powerful grammar to match strings, such as column names.

Package: r-cran-cols4all
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3236
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-png, r-cran-stringdist, r-cran-colorspace, r-cran-spacesxyz
Suggests: r-cran-colorblindcheck, r-cran-kableextra, r-cran-knitr, r-cran-shiny, r-cran-shinyjs, r-cran-ggplot2, r-cran-scales, r-cran-rmarkdown, r-cran-bookdown, r-cran-bibtex, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-cols4all_0.8-1.ca2004.1_all.deb
Size: 2988104
MD5sum: 87a3f6e0abf015c8c6c0d705265693d9
SHA1: 107622dbf30a67bddf80e72b404ee9bc19e39ac2
SHA256: 22560aa3a96017f414f2efa189db794dfe70bbcf443227cc5e7ee0df1fcb16e3
SHA512: c78f000925ba539cf01b842d9d6bcc143e5ff1dd1152946254fab036c5dbe25d996baea7f9fde48436baf161cdd3a34ea4b5704d10021f93fbaad41e2e1a6169
Homepage: https://cran.r-project.org/package=cols4all
Description: CRAN Package 'cols4all' (Colors for all)
 Color palettes for all people, including those with color vision deficiency.
 Popular color palette series have been organized by type and have been
 scored on several properties such as color-blind-friendliness and fairness
 (i.e. do colors stand out equally?). Own palettes can also be loaded and
 analysed. Besides the common palette types (categorical, sequential, and
 diverging) it also includes cyclic and bivariate color palettes.
 Furthermore, a color for missing values is assigned to each palette.

Package: r-cran-cols
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-cols_1.5-1.ca2004.1_all.deb
Size: 34256
MD5sum: 1c2549a48e7835a852c575bf477cdf9e
SHA1: 9f0caf0ab13b7fe8e252771583f294b032184805
SHA256: 4d708dd2497310154dc3e435dbd218edc90f43d4f0b23494ef5e783b18b87e1e
SHA512: 8361f528495bae42bc49d28f27c25ec2e224d637a64a1024e6ae726ef5449b6f9fa2a67953b45c2a7e8b326ff641da275dc15eb16620d0aeb574fa01687d7d33
Homepage: https://cran.r-project.org/package=cols
Description: CRAN Package 'cols' (Constrained Ordinary Least Squares)
 Constrained ordinary least squares is performed. One constraint is that all
 beta coefficients (including the constant) cannot be negative. They can be
 either 0 or strictly positive. Another constraint is that the sum of the
 beta coefficients equals a constant. References: Hansen, B. E. (2022).
 Econometrics, Princeton University Press. <ISBN:9780691235899>.

Package: r-cran-colt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-colt_0.1.1-1.ca2004.1_all.deb
Size: 161932
MD5sum: 7769ad21d0117955d583f999207b84f6
SHA1: f7c2a31d4173384477b416d1e8f4d710efc23276
SHA256: 67da94d25db8f4f26e97cc03d1797e9e94695d7641e5f64921f74e46fd267c9d
SHA512: 6362a05cf0995ec92a703bd88f59fc7cd2ddd8343ef5e7a0ef86001c17cf51ebc7d835c03300064c6414e8ae81dc738d0c57bc1a9ce962bfe5284ad6067aaad9
Homepage: https://cran.r-project.org/package=colt
Description: CRAN Package 'colt' (Command-Line Color Themes)
 A collection of command-line color styles based on the 'crayon' package.
 'Colt' styles are defined in themes that can easily be switched, to ensure
 command line output looks nice on dark as well as light consoles.

Package: r-cran-comato
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-lattice, r-cran-gdata, r-cran-xml, r-cran-cluster, r-cran-clustersim
Filename: pool/dists/focal/main/r-cran-comato_1.1-1.ca2004.1_all.deb
Size: 153480
MD5sum: c6ab62c5292a95007da38a83c9533297
SHA1: 5720e267b80f2aa194dbadf10818fe4c1ad95d8a
SHA256: 1f708c56de0d20c296fdd70fd81020321ee3e9628f5652c6c650f5b410e14c98
SHA512: 44be71e809756526ce840dc73656669ce099c9c05b8b04d875a99cf23dae595b5e10f26a3c72c1960aeacb1a8fdb80f41ac5984e4c3d63114bfda58bbdf8d734
Homepage: https://cran.r-project.org/package=comato
Description: CRAN Package 'comato' (Analysis of Concept Maps and Concept Landscapes)
 Provides methods for the import/export and automated analysis of concept
 maps and concept landscapes (sets of concept maps).

Package: r-cran-combat.enigma
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-caret, r-cran-matrix, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-combat.enigma_1.1.1-1.ca2004.1_all.deb
Size: 102660
MD5sum: 5a16a08753c33b83adfa1a0e230ba10a
SHA1: 02e21f30f6db262ef834776db546ba182896560c
SHA256: 630b0930a171f92e71ba194264a0a2802ab95a451e12a43fa3bcbccdae6f0d8a
SHA512: f0b810fa534efd40ebc97078d1425879bcf2c01e3ef070ae6f0ae33a75ad419e72a7369ad00b4ead77446e26276c8f76661efe04c2d71d2d49605dc99de76bdc
Homepage: https://cran.r-project.org/package=combat.enigma
Description: CRAN Package 'combat.enigma' (Fit and Apply ComBat, LMM, or Prescaling Harmonization forENIGMA and Other Multisite MRI Data)
 Fit and apply ComBat, linear mixed-effects models (LMM), or prescaling to
 harmonize magnetic resonance imaging (MRI) data from different sites.
 Briefly, these methods remove differences between sites due to using
 different scanning devices, and LMM additionally tests linear hypotheses. As
 detailed in the manual, the original ComBat function was first modified for
 the harmonization of MRI data (Fortin et al. (2017)
 <doi:10.1016/j.neuroimage.2017.11.024>) and then modified again to create
 separate functions for fitting and applying the harmonization and allow
 missing values and constant rows for its use within the Enhancing Neuro
 Imaging Genetics through Meta-Analysis (ENIGMA) Consortium (Radua et al.
 (2020) <doi:10.1016/j.neuroimage.2020.116956>); this package includes the
 latter version. LMM calls "lme" massively considering specific brain imaging
 details. Finally, prescaling is a good option for fMRI, where different
 devices can have varying units of measurement.

Package: r-cran-combat
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-combat_0.0.4-1.ca2004.1_all.deb
Size: 30192
MD5sum: 58641f4de739f6a824282e3a6997758e
SHA1: a63c21e36cb298f64875634434f0ddb1f931b1f8
SHA256: 816c4a8102d74d353977604f0e7d80337fcf5c5f38ec3f6c9506404367adb886
SHA512: 81bcafcb4a147ae9eaf3523b5a051610a56a555ccc6e9114c96ff1cdd664cf75c95e80998b4711124dac0d68f7beebf826479efea143845852172644c9740669
Homepage: https://cran.r-project.org/package=COMBAT
Description: CRAN Package 'COMBAT' (A Combined Association Test for Genes using Summary Statistics)
 Genome-wide association studies (GWAS) have been widely used for identifying
 common variants associated with complex diseases. Due to the small effect
 sizes of common variants, the power to detect individual risk variants is
 generally low. Complementary to SNP-level analysis, a variety of gene-based
 association tests have been proposed. However, the power of existing
 gene-based tests is often dependent on the underlying genetic models, and it
 is not known a priori which test is optimal.  Here we proposed COMBined
 Association Test (COMBAT) to incorporate strengths from multiple existing
 gene-based tests, including VEGAS, GATES and simpleM. Compared to individual
 tests, COMBAT shows higher overall performance and robustness across a wide
 range of genetic models. The algorithm behind this method is described in
 Wang et al (2017) <doi:10.1534/genetics.117.300257>.

Package: r-cran-combatfamqc
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2418
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-cran-dt, r-cran-shiny, r-cran-car, r-cran-broom, r-cran-pbkrtest, r-cran-rtsne, r-cran-mdmr, r-cran-gamlss, r-cran-lme4, r-cran-mgcv, r-cran-bslib, r-cran-shinydashboard, r-cran-gamlss.dist, r-cran-invgamma, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-testthat, r-cran-remotes, r-cran-plotly, r-cran-quarto, r-cran-spelling, r-cran-systemfonts
Filename: pool/dists/focal/main/r-cran-combatfamqc_1.0.6-1.ca2004.1_all.deb
Size: 2239660
MD5sum: 3cebd442ecaff462d2b18e9ab26c7418
SHA1: b9e88e2ae23547cbd10574b95fb1eec65590af4f
SHA256: 277717c421f69284ca044b107340c566bf813de086d8c82874ec8a4a1e3f1ebd
SHA512: 8f97f8678b24ce60beaa45c874c71fd24777c3e4c7975d6e34713b9a600489fd111d70af3bb55068bf65825ca8a18e98cfa56d996c87080856726aff3212f710
Homepage: https://cran.r-project.org/package=ComBatFamQC
Description: CRAN Package 'ComBatFamQC' (Comprehensive Batch Effect Diagnostics and Harmonization)
 Provides a comprehensive framework for batch effect diagnostics,
 harmonization, and post-harmonization downstream analysis. Features include
 interactive visualization tools, robust statistical tests, and a range of
 harmonization techniques. Additionally, 'ComBatFamQC' enables the creation
 of life-span age trend plots with estimated age-adjusted centiles and
 facilitates the generation of covariate-corrected residuals for analytical
 purposes. Methods for harmonization are based on approaches described in
 Johnson et al., (2007) <doi:10.1093/biostatistics/kxj037>, Beer et al.,
 (2020) <doi:10.1016/j.neuroimage.2020.117129>, Pomponio et al., (2020)
 <doi:10.1016/j.neuroimage.2019.116450>, and Chen et al., (2021)
 <doi:10.1002/hbm.25688>.

Package: r-cran-combcoint
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2759
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-hmisc, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tsdyn, r-cran-urca
Suggests: r-cran-mts, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-combcoint_0.2.0-1.ca2004.1_all.deb
Size: 2767428
MD5sum: 4dc4f7c595fb754b0817e103358aa143
SHA1: dac51e9677023115ff9ea0e03321a88fff7792fd
SHA256: a4f2f623a2ee0eb93c4ce140a655212ddb9456cb6c3bb67f1a418676de555c4d
SHA512: db7a518119609af6525ec7f843cf621c4266c742eeb65fd3deb33d19135d0e1b56985c801801235fc6979ac26afd718b6a574114110192fd199ddf9727c4be9b
Homepage: https://cran.r-project.org/package=combcoint
Description: CRAN Package 'combcoint' (A Joint Test-Statistic for the Null of Non-Cointegration)
 Implements a joint cointegration testing approach that combines
 Engle-Granger, Johansen maximum eigenvalue, Boswijk, and Banerjee tests into
 a unified test-statistic for the null of non-cointegration. Also see Bayer
 and Hanck (2013) <doi:10.1111/j.1467-9892.2012.00814.x>.

Package: r-cran-combinat
Architecture: all
Version: 0.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-combinat_0.0-8-1.ca2004.1_all.deb
Size: 41484
MD5sum: f35716c2a23d4a9ebb8ba4262abd1b0c
SHA1: 55750757e42dab1ea90baf5c78f3e9703faf1391
SHA256: 47861c3e4bbf8885350b2c96b063dee94cf8c05d541fe9dbf2528f61bb8f5e99
SHA512: ddb78208a5e369e7ecb7f902d67a4d12968eaf3c92f7d7019e1bca0441e1188db564509ba0b455265b1ec880307736d1c7a94f83669198f04934c9dfdbd9bd76
Homepage: https://cran.r-project.org/package=combinat
Description: CRAN Package 'combinat' (combinatorics utilities)
 routines for combinatorics

Package: r-cran-combinationpvalues
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chi, r-cran-dplyr, r-cran-spatstat.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-combinationpvalues_0.1.4-1.ca2004.1_all.deb
Size: 24044
MD5sum: 48caeb9032dc424c9d668874857a7868
SHA1: 2da1704aefc1ac528c772bbee45976d15988a9be
SHA256: a1fee13d60e6e13ffd0051265892ff8c6ff256655e4872d8d6650628424e4409
SHA512: 49b6d82908d1d240acd535908fef2f4e4077659a88b9830d55e2a2cbedea07015014a21b6e24b70b9130ac66e5c2f108de9aef72199d8453a7e5f048eb818f1e
Homepage: https://cran.r-project.org/package=combinationpvalues
Description: CRAN Package 'combinationpvalues' (Combination of Independent P-Values)
 Provides access to six fundamental statistics that can be used for the
 purpose of combination p-values. All methods used can referenced here: Heard
 & Rubin-Delanchy (2017) <arXiv:1707.06897>.

Package: r-cran-combinatorics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-combinatorics_0.1.0-1.ca2004.1_all.deb
Size: 13420
MD5sum: 97fdbfc3063cc0ad62b08bde4a6a3e56
SHA1: 7e860d106f7d2518914a6030d1009f927f423bbc
SHA256: aa8d09acadec8ab7f1642473456a051a0de36e4af57d364e647d3bae727d9a21
SHA512: 4ee114090e7c4774a511a15ac632367dfd3058c6465493d7badb7c1892597d38eaf6288dc8d816cb21510fdcbf949b8568e942f24aba843261df901d94aa77c1
Homepage: https://cran.r-project.org/package=combinatorics
Description: CRAN Package 'combinatorics' (Introduction to Some Combinatorial Relations)
 Determining the value of Stirling numbers of 1st kind and 2nd
 kind,references: Bóna,Miklós(2017,ISBN 9789813148840).

Package: r-cran-combinedevents
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-combinedevents_0.1.1-1.ca2004.1_all.deb
Size: 90940
MD5sum: 3babd5f30017891307c74bd1c6dd4b6a
SHA1: 449398da5358f836ff311363a848e32bab1ed6c5
SHA256: e8015c6b2ff511832907e7765f8748ac1ec516c6bd21bb573e03d0227b739c3e
SHA512: da5c3a7b4ba55dd117e1f445db264eed10af46b05bc59e7866d949aca41a570fa1fff7e259ccf2ea1d90fd014f23f58c5bda51155d3db04e7a4da3d1a5b15016
Homepage: https://cran.r-project.org/package=combinedevents
Description: CRAN Package 'combinedevents' (Calculate Scores and Marks for Track and Field Combined Events)
 Includes functions to calculate scores and marks for track and field
 combined events competitions. The functions are based on the scoring tables
 for combined events set forth by the International Association of Athletics
 Federation (2001).

Package: r-cran-combineportfolio
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-combineportfolio_0.4-1.ca2004.1_all.deb
Size: 75888
MD5sum: efdceb1e4fe4118d79e12db9d29940ea
SHA1: 308b143a217fb1324fb638b235ef2a9d8e55b604
SHA256: 3540e51145afefec0fbeaa30e7e5fe317c1ff56c3e576b353f1387dc98df643f
SHA512: 7fc015a68ac9ae2f6f6ba62ab77aafc4b128fc241252eee3cd64493c5e9031a88e67a4d04fde2b9f3af40885de44ebafa084fc61291287cf68710d8ac0fedc96
Homepage: https://cran.r-project.org/package=CombinePortfolio
Description: CRAN Package 'CombinePortfolio' (Estimation of Optimal Portfolio Weights by Combining SimplePortfolio Strategies)
 Estimation of optimal portfolio weights as combination of simple portfolio
 strategies, like the tangency, global minimum variance (GMV) or naive (1/N)
 portfolio. It is based on a utility maximizing 8-fund rule. Popular special
 cases like the Kan-Zhou(2007) 2-fund and 3-fund rule or the Tu-Zhou(2011)
 estimator are nested.

Package: r-cran-combinepvalue
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-combinepvalue_1.0-1.ca2004.1_all.deb
Size: 20428
MD5sum: 150d8f34809123e73013f707add1be38
SHA1: a8d48ecc736f3ebe9eb7e719ad7c6bac9f7e3af8
SHA256: 0a36be78a3ff498793759f5d6c781421c2f2028f909585a24bbcfaf153fb87d6
SHA512: 3096d0393bd092ea8a6a9e7f89dfc43dae2dcbe4e06b8cddf600db96234a2c7f5d1b87198bc451fc738ed0f5be9685d068820f27f1d66ce509f4333aab6999be
Homepage: https://cran.r-project.org/package=CombinePValue
Description: CRAN Package 'CombinePValue' (Combine a Vector of Correlated p-values)
 We offer two statistical tests to combine p-values: selfcontained.test vs
 competitive.test. The goal is to test whether a vector of pvalues are
 jointly significant when we combine them together.

Package: r-cran-combins
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-combins_1.2-1.ca2004.1_all.deb
Size: 54748
MD5sum: 39b0fafd9b8b1c98ebbef132f08e16a5
SHA1: c4747315c0dcdb6354500bd1ce8f10a50678c9fc
SHA256: 315a9805767ccecc0571ce07fc86a66e00fa7c00a6e9bb66de892000a968fe02
SHA512: 8ff660618dc1d9e83eb60f96bd2abd02ddce512f74c0dd61fe4089bfea45059af0424129667f3898259335319207055846196c63fe5fa85ebcb16bf3bcaf346d
Homepage: https://cran.r-project.org/package=CombinS
Description: CRAN Package 'CombinS' (Construction Methods for Series of PBIB Designs via CombinatoryMethod S)
 Provides constructions of series of partially balanced incomplete block
 designs (PBIB) based on the combinatory method S, introduced by Rezgui et
 al. (2014) <doi:10.3844/jmssp.2014.45.48>. This package also offers the
 associated U-type designs. Version 1.1-1 generalizes the approach to designs
 with v = wnl treatments. It includes various rectangular and generalized
 rectangular right angular association schemes with 4, 5, and 7 associated
 classes.

Package: r-cran-combiroc
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1960
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-gtools, r-cran-proc, r-cran-stringr, r-cran-moments
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-httr, r-cran-seurat
Filename: pool/dists/focal/main/r-cran-combiroc_0.3.4-1.ca2004.1_all.deb
Size: 1229080
MD5sum: f5dc8a15e198135d956543ccb497a290
SHA1: 3d2faea7529899bfb3f193142484addd60c8a94e
SHA256: 10fad1f29faf28952fcc7cc83e3b816f5f2e17e0538a622b087fe83233ee8cc8
SHA512: 7d0665ef51c70eb40f687f838899d87b4296f1b61953430228ad72572e433cd5803511ecb6b412956bdec47e9ef7fe907f344775c8c6ceb71a761f1ee0245f44
Homepage: https://cran.r-project.org/package=combiroc
Description: CRAN Package 'combiroc' (Selection and Ranking of Omics Biomarkers Combinations Made Easy)
 Provides functions and a workflow to easily and powerfully calculating
 specificity, sensitivity and ROC curves of biomarkers combinations. Allows
 to rank and select multi-markers signatures as well as to find the best
 performing sub-signatures, now also from single-cell RNA-seq datasets. The
 method used was first published as a Shiny app and described in Mazzara et
 al. (2017) <doi:10.1038/srep45477> and further described in Bombaci & Rossi
 (2019) <doi:10.1007/978-1-4939-9164-8_16>, and widely expanded as a package
 as presented in the bioRxiv pre print Ferrari et al.
 <doi:10.1101/2022.01.17.476603>.

Package: r-cran-combo
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 788
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-matrix, r-cran-rjags, r-cran-turboem, r-cran-samba
Suggests: r-cran-knitr, r-cran-testthat, r-cran-devtools, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-combo_1.2.0-1.ca2004.1_all.deb
Size: 694536
MD5sum: 911d93b83029ee1d23cf57509f7872eb
SHA1: a1893c6f814cda16474e589aff6c21cfd1d06465
SHA256: 3e8a8b37b180eb874ab0027b3cab44d7458891f1230ea637954338d00ecc64cb
SHA512: 50cf2a1d76898b364f64140e3875610099ef4797de64fc14bbccc3212c9b947fbafbc58f27b00a63dfc1eef98635f731a424984117a249227b434466e165b358
Homepage: https://cran.r-project.org/package=COMBO
Description: CRAN Package 'COMBO' (Correcting Misclassified Binary Outcomes in Association Studies)
 Use frequentist and Bayesian methods to estimate parameters from a binary
 outcome misclassification model. These methods correct for the problem of
 "label switching" by assuming that the sum of outcome sensitivity and
 specificity is at least 1. A description of the analysis methods is
 available in Hochstedler and Wells (2023) <doi:10.48550/arXiv.2303.10215>.

Package: r-cran-comclim
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1131
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-comclim_0.9.6-1.ca2004.1_all.deb
Size: 1070976
MD5sum: d929bbad9bb4a43900d91fd34535eab8
SHA1: eb8633e3a37d0834eeff72b244796fd447dd3874
SHA256: 4ec262ba825bf9fd829cc1e59de59980807175952cc396053b914fa7b039b436
SHA512: a3e3422829dbd9dbccfafc8ef458609995694b94fbec50e9293e944101d2444e482e9d626919d2de314a6111b05a1306f620024687d57ebc13ed1bc1482f2881
Homepage: https://cran.r-project.org/package=comclim
Description: CRAN Package 'comclim' (Community Climate Statistics)
 Computes community climate statistics for volume and mismatch using species'
 climate niches either unscaled or scaled relative to a regional species
 pool. These statistics can be used to describe biogeographic patterns and
 infer community assembly processes. Includes a vignette outlining usage.

Package: r-cran-cometr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-callr, r-cran-httr, r-cran-jsonlite, r-cran-r.utils, r-cran-r6, r-cran-yaml, r-cran-digest
Suggests: r-cran-covr, r-cran-curl, r-cran-git2r, r-cran-httptest, r-cran-ps, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cometr_0.4.0-1.ca2004.1_all.deb
Size: 305704
MD5sum: 98a9eaf28e993213890a2cb285bb3d7f
SHA1: 1733dc4a38a96a042a797bd9a092984ba3fc266f
SHA256: b536101741ee4749328dc790a4f6cabb79ada2fcb17fcfc0919739c1b8bf9d3e
SHA512: d54c3d2aa58cf5572a6178bdfd6ae9683b5906a08b93da3c6bda72468ebdadb1316cd4a3606edd7ec6d67cd8dfff0d7121ef86509d506b972aa190b307c89742
Homepage: https://cran.r-project.org/package=cometr
Description: CRAN Package 'cometr' ('Comet' API for R)
 A convenient 'R' wrapper to the 'Comet' API, which is a cloud platform
 allowing you to track, compare, explain and optimize machine learning
 experiments and models. Experiments can be viewed on the 'Comet' online
 dashboard at <https://www.comet.com>.

Package: r-cran-comets
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger, r-cran-glmnet, r-cran-formula, r-cran-survival, r-cran-coin
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-comets_0.1-1-1.ca2004.1_all.deb
Size: 99076
MD5sum: 5ab43ecffb77cf960275c073a94e477b
SHA1: 6840d3f5ee50ac0cb77adfcf10992902cef34afc
SHA256: 818a45c613fa84671829543edfcb31a0f660d6ec3ddad03ea6c37508d71a5cb6
SHA512: d462af8592c51b489fe739cfd4b8493c97cac438268f1489730981c378fa17e7da421fda34483ec465581a12945893586ee71d71012704860dcbb167c5e5ad62
Homepage: https://cran.r-project.org/package=comets
Description: CRAN Package 'comets' (Covariance Measure Tests for Conditional Independence)
 Covariance measure tests for conditional independence testing against
 conditional covariance and nonlinear conditional mean alternatives.  The
 package implements versions of the generalised covariance measure test (Shah
 and Peters, 2020, <doi:10.1214/19-aos1857>) and projected covariance measure
 test (Lundborg et al., 2023, <doi:10.1214/24-AOS2447>). The tram-GCM test,
 for censored responses, is implemented including the Cox model and survival
 forests (Kook et al., 2024, <doi:10.1080/01621459.2024.2395588>).
 Application examples to variable significance testing and modality selection
 can be found in Kook and Lundborg (2024, <doi:10.1093/bib/bbae475>).

Package: r-cran-comf
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-reshape, r-cran-jsonlite
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-comf_0.1.12-1.ca2004.1_all.deb
Size: 541328
MD5sum: dc5e99b8f7d1f8468ac6a463e3130dfd
SHA1: bd334da59724865c8c3574348e72ab9cb2fa4521
SHA256: 233a33319f1dde5fe3555598f1e03df153dd87eb4c1a9cdddc0ef7590de8dd4a
SHA512: 0acedb642d255d7df73f66b6318f39137b4c05e0198ad570b902788560a1be3295dd95fca1283aff7be75370dae7ebc1bd57111ae77d19cb6b366da9ce89443e
Homepage: https://cran.r-project.org/package=comf
Description: CRAN Package 'comf' (Models and Equations for Human Comfort Research)
 Calculation of various common and less common comfort indices such as
 predicted mean vote or the two node model. Converts physical variables such
 as relative to absolute humidity and evaluates the performance of comfort
 indices.

Package: r-cran-comfuncs
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comfuncs_0.0.6-1.ca2004.1_all.deb
Size: 27120
MD5sum: bd9fc54bc1c35f485f28bcad48f165f3
SHA1: 5e1005c3b39fcf4b568cffbb761479aaa597e606
SHA256: 21a872ee074d4aae8d269edc5af5eac4bca3e6a86b3f8ec3a3334227b7de2698
SHA512: 48eb46ed54f4a60497ac0bff6fa2556e14eb95de7666b4fe4e0e1b343bcaec7909b93b79c63bc5a1676a3cb9e05ee5d58fa23bfa0c4cb0a091a45f2eafd67621
Homepage: https://cran.r-project.org/package=comFuncs
Description: CRAN Package 'comFuncs' (Commonly Used Functions for R Shiny Applications)
 A set of common functions to be used for displaying messages, checking
 variables, finding absolute paths, starting applications, etc. More
 functions will be added later.

Package: r-cran-comics
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1003
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-comics_1.0.4-1.ca2004.1_all.deb
Size: 982728
MD5sum: 1bd8d9ce8e394be59447f67948ccb399
SHA1: 8789aa5c4b41b06d918c4257259a591b56501b39
SHA256: b32240a993574204ae0a3ae1637cbeb7f8d2c3a1390633918085c875be2a0909
SHA512: f1b3b13d7e60d535d3e9a0cc4260c311a4abf6b7fbeadec9c0ed37d0bcac6c19782e097553add408bc712bfce387fb2907341cb9173dcd5f1ba14a878b975db3
Homepage: https://cran.r-project.org/package=ComICS
Description: CRAN Package 'ComICS' (Computational Methods for Immune Cell-Type Subsets)
 Provided are Computational methods for Immune Cell-type Subsets,
 including:(1) DCQ (Digital Cell Quantifier) to infer global dynamic changes
 in immune cell quantities within a complex tissue; and (2) VoCAL (Variation
 of Cell-type Abundance Loci) a deconvolution-based method that utilizes
 transcriptome data to infer the quantities of immune-cell types, and then
 uses these quantitative traits to uncover the underlying DNA loci.

Package: r-cran-comma
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-turboem, r-cran-dplyr, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-ggplot2, r-cran-markdown, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-comma_1.1.1-1.ca2004.1_all.deb
Size: 518776
MD5sum: 77c4e9a9a55c0bebb3fb8d8a0fdcb091
SHA1: 21bd6315588bb7d3d0f8c9d9f922ddb47df8a267
SHA256: 3db67ecbb7d9633398bda93f5282d910e7f9c3b774c9beaa6c430f1408a3589e
SHA512: d22b74ecf356bfa354c45ec78062fb621ae0fa98645720ec0823f31b9603fdafcbd28d56b50c011eb3115a5da87b1d81283a039b40a209561790b8fc9fb21499
Homepage: https://cran.r-project.org/package=COMMA
Description: CRAN Package 'COMMA' (Correcting Misclassified Mediation Analysis)
 Use three methods to estimate parameters from a mediation analysis with a
 binary misclassified mediator. These methods correct for the problem of
 "label switching" using Youden's J criteria. A detailed description of the
 analysis methods is available in Webb and Wells (2024), "Effect estimation
 in the presence of a misclassified binary mediator"
 <doi:10.48550/arXiv.2407.06970>.

Package: r-cran-commafree
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-commafree_0.2.0-1.ca2004.1_all.deb
Size: 13488
MD5sum: d1f34bcb5e4d90c680f2fc1edd7eb8d4
SHA1: 049d97758f0a2a23a0c8e60b1e73f9341c970156
SHA256: 738f8f6d3fb051b65e85c112435b220f820fa9a2a2289ccf4a0ce65fe7b273ee
SHA512: 457eb18b3771f0b34a2925aa568641a82715158602f222c7b27b783c9b715046e9d4a3084396311a0205e54e6a8e372f0535eb753fb84d7d7896dfde41aff67e
Homepage: https://cran.r-project.org/package=commafree
Description: CRAN Package 'commafree' (Call Functions Without Commas Between Arguments)
 Provides the "comma-free call" operator: '%(%'. Use it to call a function
 without commas between the arguments. Just replace the '(' with '%(%' in a
 function call, supply your arguments as standard R expressions enclosed by
 '{ }', and be free of commas (for that call).

Package: r-cran-commecol
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-rncl, r-cran-ape, r-cran-picante, r-cran-adespatial, r-cran-betapart, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-commecol_1.8.1-1.ca2004.1_all.deb
Size: 149336
MD5sum: 4aaf0f23ac6bc6718e61e16d6cc05b9f
SHA1: bad79084ab5bdc2c6f2676555747f3d44dff13b0
SHA256: 1dad9aaed15a5dd7fc206ad69e6c884041ca24464a21b75651a229dbbd4cd4f2
SHA512: 0b19e612ce9ff565f65fa09f59a452fcb3f3235b13a8c34a7673f39ce77d913d3e565e137feca66c35122d4ffcb1d533aa1f839e0dad967ace4944ba3a0f2438
Homepage: https://cran.r-project.org/package=CommEcol
Description: CRAN Package 'CommEcol' (Community Ecology Analyses)
 Autosimilarity curves, standardization of spatial extent, dissimilarity
 indexes that overweight rare species, phylogenetic and functional (pairwise
 and multisample) dissimilarity indexes and nestedness for phylogenetic,
 functional and other diversity metrics. The methods for phylogenetic and
 functional nestedness is described in Melo, Cianciaruso and Almeida-Neto
 (2014) <doi:10.1111/2041-210X.12185>. This should be a complement to
 available packages, particularly 'vegan'.

Package: r-cran-commentr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-commentr_1.0.4-1.ca2004.1_all.deb
Size: 38812
MD5sum: e37ff2b787919a83327c410f10f6f8d4
SHA1: 105a23d022616a5867ef5f1b9fc3097f7ce065fc
SHA256: 1cab3ae7c53aba4dd65e0729debfd1787d7c5014e0cac1d31f8489554fafeead
SHA512: db65763cb423e483be595a646f5886e6f0c4d6b7efa9369bae4806e45ce733b391ff09d1e6ff800f03dbc1213c9661729ddcfa6316dd0688aaabb6d1c9c9184f
Homepage: https://cran.r-project.org/package=commentr
Description: CRAN Package 'commentr' (Print Nicely Formatted Comments for Use in Script Files)
 Functions to produce nicely formatted comments to use in R-scripts (or
 Latex/HTML/markdown etc). A comment with formatting is printed to the
 console and can then be copied to a script.

Package: r-cran-commkern
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2946
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggnewscale, r-cran-ggplot2, r-cran-gridextra, r-cran-matrix, r-cran-rcolorbrewer, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-matrixcalc, r-cran-pheatmap, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-commkern_1.0.1-1.ca2004.1_all.deb
Size: 2759868
MD5sum: 4574b30522bf6b81258ac3c2c883ec27
SHA1: ea82a1dece85fd49e4bee03edac4ea48259d088b
SHA256: 1814e0a4311ca629a5419f74ce6a64280f4b7e70afbe10b4d477952280089ff1
SHA512: ff89ad0e8ad9f0bc26b6ed2542bc6509a4a5f6e265af848fae652f2ef6cbd78fe87f3e68e3e2292368390bd962d2d4b52b5ce4dd967a407b2afbabd73850e414
Homepage: https://cran.r-project.org/package=CommKern
Description: CRAN Package 'CommKern' (Network-Based Communities and Kernel Machine Methods)
 Analysis of network community objects with applications to neuroimaging
 data. There are two main components to this package. The first is the
 hierarchical multimodal spinglass (HMS) algorithm, which is a novel
 community detection algorithm specifically tailored to the unique issues
 within brain connectivity. The other is a suite of semiparametric kernel
 machine methods that allow for statistical inference to be performed to test
 for potential associations between these community structures and an outcome
 of interest (binary or continuous).

Package: r-cran-common
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-glue, r-cran-box, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-common_1.1.3-1.ca2004.1_all.deb
Size: 201404
MD5sum: 78ef6d42d2abe3991b52009a5c7b6a46
SHA1: 28ab834cc70fe805219d0f52184a2a016cfdb680
SHA256: 45232044146b90fb3e380095f609e65bda31379691d350ce99163268fd2dc374
SHA512: 676d11263a5d363c726541dc870250e4cdf5d9932b1d2f915f72eb0cc03066db57b70141141dd7380187fcf9913a14b90c1bc2989c945b5c2fd0dd0560190d33
Homepage: https://cran.r-project.org/package=common
Description: CRAN Package 'common' (Solutions for Common Problems in Base R)
 Contains functions for solving commonly encountered problems while
 programming in R. This package is intended to provide a lightweight
 supplement to Base R, and will be useful for almost any R user.

Package: r-cran-commondatamodel
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2425
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-databaseconnector, r-cran-sqlrender, r-cran-rjava, r-cran-rmarkdown, r-cran-stringr, r-cran-dbi, r-cran-dplyr, r-cran-readr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rsqlite, r-cran-withr
Filename: pool/dists/focal/main/r-cran-commondatamodel_1.0.1-1.ca2004.1_all.deb
Size: 119324
MD5sum: 86577efcdf30e897e77388b02c37193c
SHA1: b3693c1a1acd8a4faba41a55361aec15abf5db7e
SHA256: 7344150280b7935a1dd26450d01f5e2207cfb560036a1adfa497a575a9e3fe60
SHA512: 9671c9ed57414bb3e01fb49e3225a799033330cc57618daa9f3e80738c7544674c6029554d2835677e999d82933b88c681e7157e6049752ba510afa88a4ea5b5
Homepage: https://cran.r-project.org/package=CommonDataModel
Description: CRAN Package 'CommonDataModel' (OMOP CDM DDL and Documentation Generator)
 Generates the scripts required to create an Observational Medical Outcomes
 Partnership (OMOP) Common Data Model (CDM) database and associated
 documentation for supported database platforms. Leverages the 'SqlRender'
 package to convert the Data Definition Language (DDL) script written in
 parameterized Structured Query Language (SQL) to the other supported
 dialects.

Package: r-cran-commonjavajars
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7089
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rjava, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-commonjavajars_1.1-0-1.ca2004.1_all.deb
Size: 6448872
MD5sum: 0661d763e3ab6ea447da607f33dfa8ef
SHA1: f2a928e8eb31e0fcf37bd03aaf350488eaabaf9b
SHA256: c02a9a704b5cdb90806161a0935555043f81b6ac8715bb91176d4fa37daceaea
SHA512: 0ebd004ed19e112a60cc95a8cf6c214cb17d0412a7ca465d020945e784641c25b62c83d684b60c326d429d44424872f095d08e6d73d277342e37867ee886034e
Homepage: https://cran.r-project.org/package=CommonJavaJars
Description: CRAN Package 'CommonJavaJars' (Useful Libraries for Building a Java Based GUI under R)
 Useful libraries for building a Java based GUI under R are provided.

Package: r-cran-commonmean.copula
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-commonmean.copula_1.0.4-1.ca2004.1_all.deb
Size: 22248
MD5sum: f06b02cdd63f17c80227e2858f3c2985
SHA1: abfbc92ad100a12e400a562ef3ada74f6187ec7b
SHA256: 04fb92e22c42d3202fb3d4f46b3ac94815182b13b8788bfd4bb75017aefc8061
SHA512: e43d5a40b6b0c66d8c4d969e3aa8604ba68b5e13aedd42ea2b549eb33e849665747e45ef335cf2995cff7f66fd889194c89283f631c766c2e7b2094ba115f9ff
Homepage: https://cran.r-project.org/package=CommonMean.Copula
Description: CRAN Package 'CommonMean.Copula' (Common Mean Vector under Copula Models)
 Estimate bivariate common mean vector under copula models with known
 correlation. In the current version, available copulas are the Clayton,
 Gumbel, Frank, Farlie-Gumbel-Morgenstern (FGM), and normal copulas. See Shih
 et al. (2019) <doi:10.1080/02331888.2019.1581782> and Shih et al. (2021)
 <under review> for details under the FGM and general copulas, respectively.

Package: r-cran-commonsmath
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3486
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rjava, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-commonsmath_1.2.8-1.ca2004.1_all.deb
Size: 3155368
MD5sum: b4a37ba43f5b4acf79c75eb8a0572f3f
SHA1: 609a2990c25665c0b74f404996e2ec514bbe397a
SHA256: 3059ac22557c6866893d3c56af764219748d57f6c5bc73ab3ca7d88b9c1ce3be
SHA512: c15dbb216c69e21e78ca52a22ea96dbd52c38c6a9c0e9882290bc08e8ea6c972aa840568ed0582ed26034e79ed2dee47be19a79cf4f303ff78a41c63712d01b8
Homepage: https://cran.r-project.org/package=commonsMath
Description: CRAN Package 'commonsMath' (JAR Files of the Apache Commons Mathematics Library)
 'Java' JAR files for the Apache Commons Mathematics Library for use by users
 and other packages.

Package: r-cran-commt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 916
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-ggplot2, r-cran-gridextra, r-cran-phangorn, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-commt_0.1.1-1.ca2004.1_all.deb
Size: 905892
MD5sum: 43ac078a14b7ea028635c5ba7c81cc32
SHA1: 41af2dc84339c05460dd67b7789432b73d4d3733
SHA256: f293ba7b61c13b94ec10fe7ee732d2436bcbe6cfb8c517a82b1c5461b4df6282
SHA512: daf54448124944fdd6db538a8a67316a9a4774d9aae593b90f5db9ed22b38caf61c083b9ffb774072a4a8633c4caa1850cddd8913b9f260c49855fa2272b29aa
Homepage: https://cran.r-project.org/package=CommT
Description: CRAN Package 'CommT' (Comparative Phylogeographic Analysis using the Community TreeFramework)
 Provides functions to measure the difference between constrained and
 unconstrained gene tree distributions using various tree distance metrics.
 Constraints are enforced prior to this analysis via the estimation of a tree
 under the community tree model.

Package: r-cran-comorbidity
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2794
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-stringi
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comorbidity_1.1.0-1.ca2004.1_all.deb
Size: 2499008
MD5sum: c1df51aec3dd6c4775acf86dab87910a
SHA1: cadee53650abffc9846f9a90c36f6d4317bc5392
SHA256: 53be08d648387da65e122e2e96e0ff315cc2edd1d1c252ed5d6fceae73b1d4d2
SHA512: 3a15c5dc5a3fc40a583b972ea1b2a9d0b7fe09c0ea4c1628442b85542444659ade4442e0f29ac0a8b1a81e0a4cd9aa3ef8de2d0e3d5770052adaecdccf574b9c
Homepage: https://cran.r-project.org/package=comorbidity
Description: CRAN Package 'comorbidity' (Computing Comorbidity Scores)
 Computing comorbidity indices and scores such as the weighted Charlson score
 (Charlson, 1987 <doi:10.1016/0021-9681(87)90171-8>) and the Elixhauser
 comorbidity score (Elixhauser, 1998 <doi:10.1097/00005650-199801000-00004>)
 using ICD-9-CM or ICD-10 codes (Quan, 2005
 <doi:10.1097/01.mlr.0000182534.19832.83>).  Australian and Swedish
 modifications of the Charlson Comorbidity Index are available as well
 (Sundararajan, 2004 <doi:10.1016/j.jclinepi.2004.03.012> and Ludvigsson,
 2021 <doi:10.2147/CLEP.S282475>), together with different weighting
 algorithms for both the Charlson and Elixhauser comorbidity scores.

Package: r-cran-comorbidpgs
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 520
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-nnet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comorbidpgs_0.3.4-1.ca2004.1_all.deb
Size: 456872
MD5sum: 9f1ef82f9ad46851d4aba18dda597519
SHA1: b41dd31bd27a30fbdd65aed8b58fe2ff4e47701e
SHA256: 801f11cbeee57273d630c4a08d7b8a8a7d3f671ac7bd71a988d2904ffd06c2b5
SHA512: fb44d1c53eaf28ff810c786bd9740b2839804d2b521d3599deae078ce8067317e3dc1ebe998782c5afdd5d45a00049ec7242e71f3f222558f09e53a57ce91b72
Homepage: https://cran.r-project.org/package=comorbidPGS
Description: CRAN Package 'comorbidPGS' (Assessing Predisposition Between Phenotypes using PolygenicScores)
 Using polygenic scores (PGS, or PRS/GRS for binary outcomes), this package
 allows to investigate shared predisposition between different conditions,
 and do fast association analysis, export plots and views of the PGS
 distribution using 'ggplot2' object.

Package: r-cran-comorosmaps
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comorosmaps_1.0.0-1.ca2004.1_all.deb
Size: 590572
MD5sum: e6ce7b2610ce18a310d850a821251af8
SHA1: ba5fd5fddec63096d5f56a949fa2cce5ddddef7b
SHA256: caf27725d21d7710e27341b9acf9a7e24c4de01d20de40fd6a3c83e199dbcda3
SHA512: 8dd7e61c564e0d4d77749f30725fa97507cafe96a858faacd05b3005d138f94a6ff0411a892aed898eeb8421ec32b7a2d765e52a1b9c708d633bec2caa0d42f8
Homepage: https://cran.r-project.org/package=comorosmaps
Description: CRAN Package 'comorosmaps' (Comoro Islands Maps)
 Maps of Comoro Islands. Layers include the country coastline, each island
 coastline and administrative regions boundaries.

Package: r-cran-comp2roc
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-boot
Filename: pool/dists/focal/main/r-cran-comp2roc_1.1.4-1.ca2004.1_all.deb
Size: 91784
MD5sum: c795ed1499f0387a40ed699be9821cdd
SHA1: 1a3a0b4ca67c23b06370c09f3b7fcee40b50a26c
SHA256: 0955c70d39b699281f9f48041f73197558ab8c37b9c60ca10af3694737fd6a22
SHA512: db82cfaf09f284992be9db6ba2509273d9137b8bffa65405ce4c7eea89a96646fb87e2386f455ce8e2e0f6cff9c27e72f285a7507ebb70b1bdffdc27471f5a48
Homepage: https://cran.r-project.org/package=Comp2ROC
Description: CRAN Package 'Comp2ROC' (Compare Two ROC Curves that Intersect)
 Comparison of two ROC curves through the methodology proposed by Ana C.
 Braga.

Package: r-cran-compactr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-compactr_0.1-1.ca2004.1_all.deb
Size: 24944
MD5sum: 96449e6ec46fb9d9930a80566f8dcdce
SHA1: 05062b3039905afd2a7fecbb8e645e97f613ad46
SHA256: 53d90437e454376555cce10e545ba40eabf249f017fc19d5ebd0bfb515997479
SHA512: c556ba9d4ada705a2fbf162a923eccb3df4365c31167eeb93bcc2df46cecca22a0f00a7b43e4a1101c31d1de11ca964636d8bae1f8067338b976456e225deb98
Homepage: https://cran.r-project.org/package=compactr
Description: CRAN Package 'compactr' (Creates empty plots with compact axis notation)
 Creates empty plots with compact axis notation to which users can add
 whatever they like (points, lines, text, etc.) The notation is more compact
 in the sense that the axis-labels and tick-labels are closer to the axis and
 the tick-marks are shorter. Also, if the plot appears as part of a matrix,
 the x-axis notation is suppressed unless the plot appears along the bottom
 row and the y-axis notation is suppress unless the plot appears along the
 left column.

Package: r-cran-compare
Architecture: all
Version: 0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-compare_0.2-6-1.ca2004.1_all.deb
Size: 503992
MD5sum: 3d2339f3cac866ba1e233d46fc202b03
SHA1: f2673b17ad8323a5fd62606d58365ffdaded3930
SHA256: 8f218cff6bd0c773c32383aa4a2b56c1c795d0e792b83304ce20eb4ffc7430de
SHA512: f1dc02676a0ef25c397843d39cc5ea02305a60c838098b72667ce44a2a14e33ac56475de0b40b38f1e48aaea4b599ce5ec4a13c7afdb8d34d0f003c8ec2c421e
Homepage: https://cran.r-project.org/package=compare
Description: CRAN Package 'compare' (Comparing Objects for Differences)
 Functions to compare a model object to a comparison object.  If the objects
 are not identical, the functions can be instructed to explore various
 modifications of the objects (e.g., sorting rows, dropping names) to see if
 the modified versions are identical.

Package: r-cran-comparecausalnetworks
Architecture: all
Version: 0.2.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-expm, r-cran-data.table
Suggests: r-cran-pcalg, r-cran-invariantcausalprediction, r-cran-glmnet, r-cran-backshift, r-cran-kernlab, r-cran-mgcv, r-cran-mboost, r-cran-bnlearn, r-cran-testthat, r-cran-huge, r-cran-flare
Filename: pool/dists/focal/main/r-cran-comparecausalnetworks_0.2.6.2-1.ca2004.1_all.deb
Size: 233864
MD5sum: 597695b18290cb4beb5bda97c155ca86
SHA1: 30753646de03131712c5bb4a43c60b5757cc37e7
SHA256: d7b991a61dc944d40d75a03b5124264943c41d55a5b0dc974b1faa8d58c99c88
SHA512: a9ac6989f0bc1970335b46af71a33ac0566bbaae4b47cf27b97475abf7e73194df88ca244c9f784e981691ab6e353ad89ed85bc0eb4e8272c2673154385b1ca7
Homepage: https://cran.r-project.org/package=CompareCausalNetworks
Description: CRAN Package 'CompareCausalNetworks' (Interface to Diverse Estimation Methods of Causal Networks)
 Unified interface for the estimation of causal networks, including the
 methods 'backShift' (from package 'backShift'), 'bivariateANM' (bivariate
 additive noise model), 'bivariateCAM' (bivariate causal additive model),
 'CAM' (causal additive model) (from package 'CAM'; the package is
 temporarily unavailable on the CRAN repository; formerly available versions
 can be obtained from the archive), 'hiddenICP' (invariant causal prediction
 with hidden variables), 'ICP' (invariant causal prediction) (from package
 'InvariantCausalPrediction'), 'GES' (greedy equivalence search), 'GIES'
 (greedy interventional equivalence search), 'LINGAM', 'PC' (PC Algorithm),
 'FCI' (fast causal inference), 'RFCI' (really fast causal inference) (all
 from package 'pcalg') and regression.

Package: r-cran-comparecstat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot
Suggests: r-cran-survival, r-cran-survc1
Filename: pool/dists/focal/main/r-cran-comparecstat_0.1.0-1.ca2004.1_all.deb
Size: 17264
MD5sum: 89addf6c3283f962b46c33779be5c399
SHA1: 87f30d02553615c99239bc677c76549c34aa3ff2
SHA256: d797254f7f09939aab7ce652c624003791c0d92b797944177dbc0b94de32a88f
SHA512: c16258edb15925e58c3889c101d2a61737c33cdf3f69a6b53841e2e0418366d17459f8279b6afd504ee902d2b09e64dbaa9cbf5435c8d35dc2e24b906345d207
Homepage: https://cran.r-project.org/package=compareCstat
Description: CRAN Package 'compareCstat' (Compare C-Statistics (Concordance) Between Survival Models)
 Compare C-statistics (concordance statistics) between two survival models,
 using either bootstrap resampling (Harrell's C) or Uno's C with
 perturbation-resampling (from the survC1 package). Returns confidence
 intervals and a p-value for the difference in C-statistics.  Useful for
 evaluating and comparing predictive performance of survival models.  Methods
 implemented for Uno's C are described in Uno et al. (2011)
 <doi:10.1002/sim.4154>.

Package: r-cran-comparedesign
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-ggplot2, r-cran-ggpubr, r-cran-rootsolve, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-comparedesign_2.4.0-1.ca2004.1_all.deb
Size: 313376
MD5sum: aeadec06cb07dc9e83d1745fa05545de
SHA1: d88d0dee647c39f448f44f848b4746b61acf4f74
SHA256: c99a8dab71cf816bf158c49708a83f9440f33c0458ae3a1888bb28cf781dc60c
SHA512: bdf2ef07f9f042c038c3deb88476308d18c2a4ba22b2770f1ec9888114202a1117e8ae79119620ce6068bf89ded146a280dc33e1b5da3756c67a07d7c7c920c4
Homepage: https://cran.r-project.org/package=CompAREdesign
Description: CRAN Package 'CompAREdesign' (Statistical Functions for the Design of Studies with CompositeEndpoints)
 It has been designed to calculate the required sample size in randomized
 clinical trials with composite endpoints. It also calculates the expected
 effect and the probability of observing the composite endpoint, among
 others. The methodology can be found in Bofill & Gómez (2019)
 <doi:10.1002/sim.8092> and Gómez & Lagakos (2013) <doi:10.1002/sim.5547>.

Package: r-cran-comparedf
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1153
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-htmltable, r-cran-openxlsx, r-cran-tidyr, r-cran-stringr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-testthat, r-cran-futile.logger, r-cran-covr
Filename: pool/dists/focal/main/r-cran-comparedf_2.3.5-1.ca2004.1_all.deb
Size: 1071248
MD5sum: 73a7dd075284d048605261097ff23b7b
SHA1: e9fb240a63719a94fbf0533758575a09a64d5182
SHA256: 2ebe7a85c38246ba35f81f701fb76558f70277e741485130b028de87c8b670aa
SHA512: 22e51690768596e5ac097bc42bf0c1baf6a34e9773cbcdc614398a00b0dd15e09772721a45308d0eeda11580fd9a227253f01145d31b80cc054f0d1f687d9ccc
Homepage: https://cran.r-project.org/package=compareDF
Description: CRAN Package 'compareDF' (Do a Git Style Diff of the Rows Between Two Dataframes withSimilar Structure)
 Compares two dataframes which have the same column structure to show the
 rows that have changed. Also gives a git style diff format to quickly see
 what has changed in addition to summary statistics.

Package: r-cran-comparegroups
Architecture: all
Version: 4.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4448
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-hardyweinberg, r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra, r-cran-chron, r-cran-writexl, r-cran-flextable, r-cran-officer, r-cran-pmcmrplus
Suggests: r-cran-tcltk2, r-cran-shiny, r-cran-shinybs, r-cran-shinyjs, r-cran-shinyjqui, r-cran-shinythemes, r-cran-shinywidgets, r-cran-shinydashboardplus, r-cran-dt, r-cran-readxl, r-cran-haven
Filename: pool/dists/focal/main/r-cran-comparegroups_4.9.1-1.ca2004.1_all.deb
Size: 3334204
MD5sum: 9059762c61de52d1b431c6973a3fa011
SHA1: f9c9144959fe74f9b8433c2623921570d791f7e6
SHA256: a82079d387ca6fbf48874400a72373bca4c86c6b03c56fe1e8205417d35d7490
SHA512: 6359c50e4b64b4c24a4fcd452471edf2babff5ab1dac4e547653bb6cbb2b4ebf34dfe7e0fbfd354f3c0945b2aaa41441083690fc9be25a3dda96610f562bb0b6
Homepage: https://cran.r-project.org/package=compareGroups
Description: CRAN Package 'compareGroups' (Descriptive Analysis by Groups)
 Create data summaries for quality control, extensive reports for exploring
 data, as well as publication-ready univariate or bivariate tables in several
 formats (plain text, HTML,LaTeX, PDF, Word or Excel. Create figures to
 quickly visualise the distribution of your data (boxplots, barplots,
 normality-plots, etc.). Display statistics (mean, median, frequencies,
 incidences, etc.). Perform the appropriate tests (t-test, Analysis of
 variance, Kruskal-Wallis, Fisher, log-rank, ...) depending on the nature of
 the described variable (normal, non-normal or qualitative). Summarize
 genetic data (Single Nucleotide Polymorphisms) data displaying Allele
 Frequencies and performing Hardy-Weinberg Equilibrium tests among other
 typical statistics and tests for these kind of data.

Package: r-cran-comparemcmcs
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 904
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-r6, r-cran-ggplot2, r-cran-reshape2, r-cran-xtable, r-cran-coda, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rjags, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-comparemcmcs_0.6.0-1.ca2004.1_all.deb
Size: 370540
MD5sum: 65482ef7c614184117cfc3ac98c26947
SHA1: f6dabbbee8e2c86aa8a5f25cc05a4955cdcbba88
SHA256: 62cbd23424d9320968097ebebf2e45fd6d6023fd5920b59936c7ad0e16842045
SHA512: 891439f1ad8a08b51203186dd588b5d7082115b9f57813e3c015033e95876af222113361db4d825102694d5930459742933672549ce6e0755788c123eca657cb
Homepage: https://cran.r-project.org/package=compareMCMCs
Description: CRAN Package 'compareMCMCs' (Compare MCMC Efficiency from 'nimble' and/or Other MCMC Engines)
 Manages comparison of MCMC performance metrics from multiple MCMC
 algorithms. These may come from different MCMC configurations using the
 'nimble' package or from other packages. Plug-ins for JAGS via 'rjags' and
 Stan via 'rstan' are provided. It is possible to write plug-ins for other
 packages. Performance metrics are held in an MCMCresult class along with
 samples and timing data. It is easy to apply new performance metrics.
 Reports are generated as html pages with figures comparing sets of runs. It
 is possible to configure the html pages, including providing new figure
 components.

Package: r-cran-comparemultiplemodels
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ceemdanml
Filename: pool/dists/focal/main/r-cran-comparemultiplemodels_0.1.0-1.ca2004.1_all.deb
Size: 14988
MD5sum: f6a083d1774216f2ae554d6275227fd9
SHA1: bc31b88e50a60fc75f94283f1886fb4655b373f9
SHA256: de8ec339bb39e09c053178df0e21607b0136b1dd82506d38f582bbb370484619
SHA512: 3d58370c205b88ab131519068f92497e9d2a6d010567f15bc1d3785a5259c78ec7b6f848664734b2d11d0626555339b2963bb2220fa01575833f98fe8239e92a
Homepage: https://cran.r-project.org/package=CompareMultipleModels
Description: CRAN Package 'CompareMultipleModels' (Finding the Best Model Using Eight Metrics Values)
 In statistical modeling, multiple models need to be compared based on
 certain criteria. The method described here uses eight metrics from
 'AllMetrics' package. ‘input_df’ is the data frame (at least two columns for
 comparison) containing metrics values in different rows of a column (which
 denotes a particular model’s performance). First five metrics are expected
 to be minimum and last three metrics are expected to be maximum for a model
 to be considered good. Firstly, every metric value (among first five) is
 searched in every columns and minimum values are denoted as ‘MIN’ and other
 values are denoted as ‘NA’. Secondly, every metric (among last three) is
 searched in every columns and maximum values are denoted as ‘MAX’ and other
 values are denoted as ‘NA’. ‘output_df’ contains the similar number of rows
 (which is 8) and columns (which is number of models to be compared) as of
 ‘input_df’. Values in ‘output_df’ are corresponding ‘NA’, ‘MIN’ or ‘MAX’.
 Finally, the column containing minimum number of ‘NA’ values is denoted as
 the best column. ‘min_NA_col’ gives the name of the best column (model).
 ‘min_NA_values’ are the corresponding metrics values. ‘BestColumn_metrics’
 is the data frame (dimension: 1*8) containing different metrics of the best
 column (model). ‘best_column_results’ is the final result (a list)
 containing all of these output elements. In special case, if two columns
 having equal 'NA', it will be checked among these two column which one is
 having least 'NA' in first five rows and will be inferred as the best. More
 details about 'AllMetrics' can be found in Garai (2023)
 <doi:10.13140/RG.2.2.18688.30723>.

Package: r-cran-compareodm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-compareodm_1.2-1.ca2004.1_all.deb
Size: 21564
MD5sum: 45050a6ef5f1a8dd75f9be21f3785325
SHA1: 04b3fa425fd2002b857ea04895da0d8fc510068a
SHA256: 048be7e851023e1bf9b9295e9f7bb01395be9be39be63212739bd8b3e0d5665f
SHA512: 3c90343638d2185942a98d5149caa7e0fd35542e80ac570ffe524591a5c3e7ca5d9e0333caffdcda800eba72e0dc98155ab5560afe0aa23f090337d06e36986e
Homepage: https://cran.r-project.org/package=compareODM
Description: CRAN Package 'compareODM' (comparison of medical forms in CDISC ODM format)
 Input: 2 ODM files (ODM version 1.3) Output: list of identical, matching,
 similar and differing data items

Package: r-cran-comparer
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 616
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gaupro, r-cran-mixopt, r-cran-rmarkdown, r-cran-plyr, r-cran-progress, r-cran-r6
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-ggplot2, r-cran-ggally, r-cran-ggpubr, r-cran-contourfunctions, r-cran-snow, r-cran-tibble, r-cran-lhs, r-cran-dicekriging, r-cran-diceoptim, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-comparer_0.2.4-1.ca2004.1_all.deb
Size: 496004
MD5sum: c7cea4f2276c97f24d4ecae0272e303c
SHA1: fcf5ab0aaa5c6b015f538f237131398d49fcb7ab
SHA256: bf494b6b4df66be7a5cfd7b7cc9e1bd2b5800d5ffef221f53662d7cfad1df39a
SHA512: c641e3677748621fa46db778adc06e449fc5c192f22455a2e5c09b405fec0f2884c896a23dddece6cea130fe56055e8a553ae4e3a123710ae18c00f86e25b851
Homepage: https://cran.r-project.org/package=comparer
Description: CRAN Package 'comparer' (Compare Output and Run Time)
 Quickly run experiments to compare the run time and output of code blocks.
 The function mbc() can make fast comparisons of code, and will calculate
 statistics comparing the resulting outputs.  It can be used to compare model
 fits to the same data or see which function runs faster.  The R6 class
 ffexp$new() runs a function using all possible combinations of selected
 inputs. This is useful for comparing the effect of different parameter
 values. It can also run in parallel and automatically save intermediate
 results, which is very useful for long computations.

Package: r-cran-comparetests
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-comparetests_1.3-1.ca2004.1_all.deb
Size: 38676
MD5sum: 3069ece22e9dfe292035e5d1f17afa56
SHA1: 30ed5fd12039303f8367f1c2e814595f2403f2f2
SHA256: a6a6c9e4bdbf81da8377ca8fcffe7b08aee9111179b6e24ead8b9ade96554b7b
SHA512: dd2214ab587c0d201b7edf510609d4d0433b7ec097ecc53bf926174919de8d675b018562d6f53045a3b50766d50e54e356a15f4ea89877c0880fd358a990a47c
Homepage: https://cran.r-project.org/package=CompareTests
Description: CRAN Package 'CompareTests' (Correct for Verification Bias in Diagnostic Accuracy & Agreement)
 A standard test is observed on all specimens.  We treat the second test (or
 sampled test) as being conducted on only a stratified sample of specimens.
 Verification Bias is this situation when the specimens for doing the second
 (sampled) test is not under investigator control.  We treat the total sample
 as stratified two-phase sampling and use inverse probability weighting.  We
 estimate diagnostic accuracy (category-specific classification
 probabilities; for binary tests reduces to specificity and sensitivity, and
 also predictive values) and agreement statistics (percent agreement, percent
 agreement by category, Kappa (unweighted), Kappa (quadratic weighted) and
 symmetry tests (reduces to McNemar's test for binary tests)).  See: Katki
 HA, Li Y, Edelstein DW, Castle PE.  Estimating the agreement and diagnostic
 accuracy of two diagnostic tests when one test is conducted on only a
 subsample of specimens. Stat Med. 2012 Feb 28; 31(5) <doi:10.1002/sim.4422>.

Package: r-cran-comparison
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-isotone, r-cran-cvglasso
Filename: pool/dists/focal/main/r-cran-comparison_1.0.8-1.ca2004.1_all.deb
Size: 157644
MD5sum: 13c5046d965c02c2b6b44a523c27cd66
SHA1: 91c328061762bb51e0d62390f826cbdc38ca60ae
SHA256: e53270578304beeca1df16549dec99dbcd5c92bb6f4d26ce7b1bae1b5cd15a3f
SHA512: f6024ca8091022f71e226b2a7c499cf6d4d58032a655ea35b376098263c0dc8a9c2d5a0db9ab62428cfd428480973c0aab65335a2cd35e2128173aeef7caf173
Homepage: https://cran.r-project.org/package=comparison
Description: CRAN Package 'comparison' (Multivariate Likelihood Ratio Calculation and Evaluation)
 Functions for calculating and evaluating likelihood ratios from
 uni/multivariate continuous observations.

Package: r-cran-comparisoncr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-cifsmry, r-cran-cmprsk
Filename: pool/dists/focal/main/r-cran-comparisoncr_1.0.4-1.ca2004.1_all.deb
Size: 80020
MD5sum: 72988e972d75c26bc49fd35533039229
SHA1: 9da1b33df6ab2aee6e461d0bd45d7707e02e3190
SHA256: c1ad73225d6d2509fda08da4f6c9dfeef7501ba0499cfeb413104527f65d275e
SHA512: f2c302e2b0e9b819de54b6fd2f3711e382c35d63b08c346494897de4052506c1cea6ed208f2f164753505f0cb93808c26598a5aa0518ce74074446aae4f1fd57
Homepage: https://cran.r-project.org/package=ComparisonCR
Description: CRAN Package 'ComparisonCR' (Comparison of Cumulative Incidence Between Two Groups UnderCompeting Risks)
 Statistical methods for competing risks data in comparing cumulative
 incidence function curves between two groups, including overall hypothesis
 tests and arbitrary tests in Lyu et al. (2020) <doi:10.1002/pst.2028>, and
 the fixed-point tests in Chen et al. (2018)
 <doi:10.1080/03610918.2018.1476697>.

Package: r-cran-comparisonsurv
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-survrm2, r-cran-tshrc, r-cran-muhaz
Filename: pool/dists/focal/main/r-cran-comparisonsurv_1.1.1-1.ca2004.1_all.deb
Size: 124376
MD5sum: c7bf9e12a9fb4d215441b4ce02e221fc
SHA1: 7daa1f51f69ed6eb53db881d265d9200068d5358
SHA256: c76158e69217d45f945f1adede4439e2bad49b260b81443af0aa500e33b99a86
SHA512: f8e1ff5b6609b250a4a3d810bb4abddbd755c7be5c9a5b0a545efe7576e146085847584a31857d3809dd5df6196c32270ff72ea68ff1f32f61a7bcf57542ca09
Homepage: https://cran.r-project.org/package=ComparisonSurv
Description: CRAN Package 'ComparisonSurv' (Comparison of Survival Curves Between Two Groups)
 Various statistical methods for survival analysis in comparing survival
 curves between two groups, including overall hypothesis tests described in
 Li et al. (2015) <doi:10.1371/journal.pone.0116774> and Huang et al. (2020)
 <doi:10.1080/03610918.2020.1753075>, fixed-point tests in Klein et al.
 (2007) <doi:10.1002/sim.2864>, short-term tests, and long-term tests in
 Logan et al. (2008) <doi:10.1111/j.1541-0420.2007.00975.x>. Some commonly
 used descriptive statistics and plots are also included.

Package: r-cran-compdb
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-pkgbuild, r-cran-withr
Suggests: r-cran-fs, r-cran-jsonlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-compdb_0.0.1-1.ca2004.1_all.deb
Size: 24148
MD5sum: 7243e89e02f38de8ba2b02e07280bbbd
SHA1: 3ab122451fea7dda88a53f9ab5cf7bb36f140fe8
SHA256: 9ec63d3298a720cfe913f5ca436605d71ebcfc5989f0840f03755a67b40b0e8e
SHA512: 59cc1235190d240e25b81d03952f0fb8d8f10bf8ad6afc458107cc29d76521441583cc677e3ef5eb88578fc1a0709340b4dc37a0068cae707e9fa265786161ef
Homepage: https://cran.r-project.org/package=compdb
Description: CRAN Package 'compdb' (Generate Compilation Database for Use with 'Clang' Tools)
 Many modern C/C++ development tools in the 'clang' toolchain, such as
 'clang-tidy' or 'clangd', rely on the presence of a compilation database in
 JSON format <https://clang.llvm.org/docs/JSONCompilationDatabase.html>.
 This package temporarily injects additional build flags into the R build
 process to generate such a compilation database.

Package: r-cran-compdist
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-fextremes, r-cran-actuar, r-cran-vgam, r-cran-rmutil, r-cran-pearsonds
Filename: pool/dists/focal/main/r-cran-compdist_1.0-1.ca2004.1_all.deb
Size: 51652
MD5sum: dd87d95cc5743b7034f274e2ea6f7165
SHA1: bed0f788b7de2517f765c4c290b2f9978340e5db
SHA256: cf67805d70d70eec4a5bcd36eca7d2c03b974dc14c942e4a2e5384914fdecb2e
SHA512: cb45e526580d057500978e3760dda673de7e70bd3d8b99ad343c8c54524645546493025b434dae058083e7f0ca61ae69aaeb651270e958266b667f8d463ed7ca
Homepage: https://cran.r-project.org/package=CompDist
Description: CRAN Package 'CompDist' (Multisection Composite Distributions)
 Computes density function, cumulative distribution function, quantile
 function and random numbers for a multisection composite distribution
 specified by the user.  Also fits the user specified distribution to a given
 data set.  More details of the package can be found in the following paper
 submitted to the R journal Wiegand M and Nadarajah S (2017) CompDist:
 Multisection composite distributions.

Package: r-cran-comperes
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comperes_0.2.7-1.ca2004.1_all.deb
Size: 134136
MD5sum: b199d7f83cbfd4270b31aca85253ac17
SHA1: c217f196fadedf0f2d5182cb4e97f7c0629d2291
SHA256: e46ef8ae0c842e9fd25810f2479c9b5464c580867a36b2f951d0ba656df9d60a
SHA512: f8dd1b791a2226991bf4405089f3c68805511b2b0dc28e98ecbacc4368773e9ab052b9112397d8eab5d63b03dce0e5dc1eb4e9c0883a5213b03c097a6777e724
Homepage: https://cran.r-project.org/package=comperes
Description: CRAN Package 'comperes' (Manage Competition Results)
 Tools for storing and managing competition results.  Competition is
 understood as a set of games in which players gain some abstract scores.
 There are two ways for storing results: in long (one row per game-player)
 and wide (one row per game with fixed amount of players) formats. This
 package provides functions for creation and conversion between them. Also
 there are functions for computing their summary and Head-to-Head values for
 players. They leverage grammar of data manipulation from 'dplyr'.

Package: r-cran-competitiontoolbox
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1670
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-antitrust, r-cran-trade, r-cran-shiny, r-cran-rhandsontable, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-competitiontoolbox_0.7.1-1.ca2004.1_all.deb
Size: 958932
MD5sum: f86c9769c337020757a790c27b25be87
SHA1: e4ce71a64487a05ab6d9023df414e1de2ee6d132
SHA256: 527f3b70a9ff389b3b4127c45d155d35708f5cadf3085057e5222f3e70b2737c
SHA512: b27279967052dfccf1aad162da770860d77eb94d078f65c0145cc5ec2654de28a5d1361bb3320a53ee91bda39062dfb4eaa38312ec9fa0fd9abbb72af4ae2e2c
Homepage: https://cran.r-project.org/package=competitiontoolbox
Description: CRAN Package 'competitiontoolbox' (A Graphical User Interface for Antitrust and Trade Practitioners)
 A graphical user interface for simulating the effects of mergers, tariffs,
 and quotas under an assortment of different economic models. The interface
 is powered by the 'Shiny' web application framework from 'RStudio'.

Package: r-cran-compexpdes
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-hadamardr
Filename: pool/dists/focal/main/r-cran-compexpdes_1.0.7-1.ca2004.1_all.deb
Size: 80420
MD5sum: 2e8b151bea5ab1409fecd99c39f85be0
SHA1: f568270ed2a72de511b46547a5261ebff6076512
SHA256: f27af72b1eefe0d9b6aa7df7b737ecf4cb54a762415de3ef57da8a5ea57ed2fa
SHA512: c2e2a918481b36c8ac2d4baaa5fb44ac884bb7a1c43b6b35f846ddd7a15c22ead85cf580801ac892857144917f9675fd0cd4cff1f9aba273cb8e77e38501b260
Homepage: https://cran.r-project.org/package=CompExpDes
Description: CRAN Package 'CompExpDes' (Designs for Computer Experimentations)
 In computer experiments space-filling designs are having great impact. Most
 popularly used space-filling designs are Uniform designs (UDs), Latin
 hypercube designs (LHDs) etc. For further references one can see Mckay
 (1979) <DOI:10.1080/00401706.1979.10489755> and Fang (1980)
 <https://cir.nii.ac.jp/crid/1570291225616774784>. In this package, we have
 provided algorithms for generate efficient LHDs and UDs. Here, generated
 LHDs are efficient as they possess lower value of Maxpro measure, Phi_p
 value and Maximum Absolute Correlation (MAC) value based on the weightage
 given to each criterion. On the other hand, the produced UDs are having good
 space-filling property as they always attain the lower bound of Discrete
 Discrepancy measure. Further, some useful functions added in this package
 for adding more value to this package.

Package: r-cran-compgr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-compgr_0.1.3-1.ca2004.1_all.deb
Size: 11416
MD5sum: 4cb73a576d5d91640d2a8966a13a35eb
SHA1: dffe873b954a83cfddd1fc6af2b40ecffbf8ed91
SHA256: bca5978a7fba6b770da61bb067454ccaa371b37ef0882a00ab1b5fe192cd24dd
SHA512: f8512c7c098dc1706bda7161809f4c17d9ebf5eb4bd35f362b261637a94b3d06fe8f357c77bbf3ce3e9a8e86e8be496dbb3edea22a00aee373b37ac0e30826cc
Homepage: https://cran.r-project.org/package=CompGR
Description: CRAN Package 'CompGR' (Complete Annual Growth Rate Generator)
 It is designed to streamline the process of calculating complete annual
 growth rates with user-friendly functions and robust algorithms. It enables
 researchers and analysts to effortlessly generate precise growth rate
 estimates for their data. For method details see, Sharma, M.K.(2013)
 <https://www.indianjournals.com/ijor.aspx?target=ijor:jfl&volume=26&issue=1and2&article=018>.
 It offers a comprehensive suite of functions and customisable parameters.
 Equipped to handle varying complexities in data structures. It empowers
 users to uncover insightful growth dynamics and make informed decisions.

Package: r-cran-compicc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-irr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-compicc_0.1.0-1.ca2004.1_all.deb
Size: 47020
MD5sum: ebfdcb21d0dd115c062c228f63360855
SHA1: 71efffe1e3904aa051d8537eb53250505b635566
SHA256: 1ef0b2c2083e7e43aa1521b54ec7dcb593bb17958828185e111ee12a34ba57a5
SHA512: 7f21344e9a25fc9e5e0d8a0af9626ae86898c7887590301e4b44d481061567cc980f43a47e50f895bccacb99bbbe6c4d7abdb4945a147b720dd456ab995633c2
Homepage: https://cran.r-project.org/package=compicc
Description: CRAN Package 'compicc' (Calculate the Confidence Interval for the Difference of ICCs)
 Contains functions to calculate the confidence interval for the difference
 between the intraclass correlation coefficients (ICCs) of two datasets. The
 package contains two functions: one for two dependent datasets and one for
 two independent datasets. The method for calculating the confidence
 intervals is found in Ramasundarahettige et al. (2009) <DOI:
 10.1002/sim.3523>.

Package: r-cran-compind
Architecture: all
Version: 3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-benchmarking, r-cran-psych, r-cran-boot, r-cran-lpsolve, r-cran-spdep, r-cran-hmisc, r-cran-mass, r-cran-gparotation, r-cran-nonparaeff, r-cran-smaa, r-cran-np, r-cran-factominer, r-cran-gwmodel, r-cran-sp, r-cran-rcompadre
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-compind_3.4-1.ca2004.1_all.deb
Size: 676628
MD5sum: 6aaf035ecc5e634640477d08c5d6c166
SHA1: 77a545c44629584f01525a18bb026baaec199901
SHA256: 2e5cbcab4df31ac423e370dee99ed125789cf264cd745c91c33fa25010e6a91e
SHA512: c0ec93936692d9188aa694f22554f2a8ff00ef5d466194b9b0a8bc96df29c94468d44b8f7df66712ef2dbcc6ac646dbae33bc4a3a89346dc62320213f86bd2ac
Homepage: https://cran.r-project.org/package=Compind
Description: CRAN Package 'Compind' (Composite Indicators Functions)
 A collection of functions to calculate Composite Indicators methods,
 focusing, in particular, on the normalisation and weighting-aggregation
 steps, as described in OECD Handbook on constructing composite indicators:
 methodology and user guide, 2008, 'Vidoli' and 'Fusco' and 'Mazziotta'
 <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016)
 <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge'
 <doi:10.1016/j.ejor.2016.07.038> and other authors.

Package: r-cran-compindexr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-pracma, r-cran-dplyr, r-cran-nlcoptim
Filename: pool/dists/focal/main/r-cran-compindexr_0.1.3-1.ca2004.1_all.deb
Size: 62824
MD5sum: 45f9d22bfc87a6bffa91b5cdcb7c8914
SHA1: a3201b7d1e0e1835a99f9149ac3c2c6e496483a6
SHA256: b53af674103b3f99dd7c4c5cc966648cec1e1b0065865f1ce734c3ddd1487ffa
SHA512: 76bb62c373885f89003101492d6c4dcbe9a0da8c91978d10435036888d3a197f58182b6446393a620933201fd543dc9f5fab0c186ede167750d8d3a3d9685574
Homepage: https://cran.r-project.org/package=compindexR
Description: CRAN Package 'compindexR' (Calculates Composite Index)
 It uses the first-order sensitivity index to measure whether the weights
 assigned by the creator of the composite indicator match the actual
 importance of the variables. Moreover, the variance inflation factor is used
 to reduce the set of correlated variables. In the case of a discrepancy
 between the importance and the assigned weight, the script determines
 weights that allow adjustment of the weights to the intended impact of
 variables. If the optimised weights are unable to reflect the desired
 importance, the highly correlated variables are reduced, taking into account
 variance inflation factor. The final outcome of the script is the calculated
 value of the composite indicator based on optimal weights and a reduced set
 of variables, and the linear ordering of the analysed objects.

Package: r-cran-compindpca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-factoextra
Filename: pool/dists/focal/main/r-cran-compindpca_0.1.0-1.ca2004.1_all.deb
Size: 15212
MD5sum: de0edcc66a8ec11b0ab2036f321c0b85
SHA1: 43db1152ce52172856f680ae086adde3ab599be0
SHA256: 3e165b236b71c4685107af7ee10127842e654a636f75e1e7faf40a6d23414470
SHA512: 858afcafa6626a78fc247f7040e0824abbbbde68280cdc208c822b52c0c2e1290bd1dcb65307a3bd1189159abbf5da1c8dfff040246a5dda1117739e24eb1b95
Homepage: https://cran.r-project.org/package=compindPCA
Description: CRAN Package 'compindPCA' (Computation of Relative Weights of Variables and Composite IndexValues Based on PCA)
 It helps in development of a principal component analysis based composite
 index by assigning weights to variables and combining the weighted
 variables. For method details see Sendhil, R., Jha, A., Kumar, A. and Singh,
 S. (2018). <doi:10.1016/j.ecolind.2018.02.053>, and Wu, T. (2021).
 <doi:10.1016/j.ecolind.2021.108006>.

Package: r-cran-completejourney
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4842
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-tibble, r-cran-progress, r-cran-stringr, r-cran-zeallot
Suggests: r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-completejourney_1.1.0-1.ca2004.1_all.deb
Size: 4787488
MD5sum: eb993b6f9ce17ff1bd76ea4c30133de5
SHA1: ab2c91c9f17de104c07b98d8df2e341f32d232fe
SHA256: e697a8a035a96cf150342c9e37f08810c0f979569b45210503bde2ab8ab8b620
SHA512: 9f90127bae8b1d954756b3dc3b58605de005c94b775c77eafbcc54af581401f493d2db285da805ef4deceb828edec12d8492516b21a858558b11c7afeb2e90b3
Homepage: https://cran.r-project.org/package=completejourney
Description: CRAN Package 'completejourney' (Retail Shopping Data)
 Retail shopping transactions for 2,469 households over one year.  Originates
 from the 84.51° Complete Journey 2.0 source files
 <https://www.8451.com/area51> which also includes useful metadata on
 products, coupons, campaigns, and promotions.

Package: r-cran-complexity
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-complexity_1.1.2-1.ca2004.1_all.deb
Size: 25960
MD5sum: 7f39ee2ab2dd39231f497611ab40b24e
SHA1: de5600cb5f50e37967130f1ec8f3eb985223db4e
SHA256: 06c219ef01edb6d443672a5f2bfe4c8d873c4f86426e4e2b1c422a709868d38d
SHA512: 60558e8858c208d73cf245658f32d63657e623f18ac6cf2e721f0ef67676e9191c6615e6c334ad1da7403566f4dd4b5f4d95d8dee75c7639a667ed5a68a23a7c
Homepage: https://cran.r-project.org/package=complexity
Description: CRAN Package 'complexity' (Calculate the Proportion of Permutations in Line with anInformative Hypothesis)
 Allows for the easy computation of complexity: the proportion of the
 parameter space in line with the hypothesis by chance. The package comes
 with a Shiny application in which the calculations can be conducted as well.

Package: r-cran-complexnet
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-complexnet_0.2.0-1.ca2004.1_all.deb
Size: 43656
MD5sum: 4e1ba7d864e9b0b4ae966cf0b5b3c937
SHA1: b1116292f8cfec35c50ebc2723a5e9d690d28496
SHA256: c6385e28b554a31dff0a8fc5af7d3f9c8c6a403d99db8ee4145abb226c03c78f
SHA512: 2fb2cb0b06efad642b8f0a7500fd0fd678088d079af22551bdb91961e9ac5de79d32dd3130dd39553bd9383918d33d51d6bc4d979577224a3c46596dd892780a
Homepage: https://cran.r-project.org/package=complexNet
Description: CRAN Package 'complexNet' (Complex Network Generation)
 Providing a set of functions to easily generate and iterate complex
 networks.  The functions can be used to generate realistic networks with a
 wide range of different clustering, density, and average path length.  For
 more information consult research articles by Amiyaal Ilany and Erol Akcay
 (2016) <doi:10.1093/icb/icw068> and Ilany and Erol Akcay (2016)
 <doi:10.1101/026120>, which have inspired many methods in this package.

Package: r-cran-complexplus
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-expm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-complexplus_2.1-1.ca2004.1_all.deb
Size: 22176
MD5sum: 8fb18fc0eaf3e3fc4c3dfb078c015d30
SHA1: 899f12e3b9b00cad5c624d683dc551c110997198
SHA256: d917dfd39be9d8a4e435a18a25d866d54797df6f5e4b7459e99d162086ddd6fe
SHA512: b9b3e9c52292a3aacf26fe9496d5f09c483b4f8434ca607513117affd923f8eb2d9db4f1dfc62ffd48341ed26ae7dfef23b86418e1a589e6452ba4a25ed3b41f
Homepage: https://cran.r-project.org/package=complexplus
Description: CRAN Package 'complexplus' (Functions of Complex or Real Variable)
 Extension of several functions to the complex domain, including the matrix
 exponential and logarithm, and the determinant.

Package: r-cran-complexupset
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4009
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-patchwork, r-cran-scales, r-cran-colorspace
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tibble, r-cran-ggplot2movies, r-cran-vdiffr, r-cran-jsonlite, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-complexupset_1.3.3-1.ca2004.1_all.deb
Size: 2644892
MD5sum: 109f6f96347c8f028eb88d04e254dfe0
SHA1: 7e7e8b259013f31f8a21e2d21857617d9050c193
SHA256: 380dc763b29e4bdcdd7abee3f13e4bff011550268e8603621a8c32ae166b1fed
SHA512: 5cd0ce774dd3e43841a99b2286ce8d8245092467d5f3f0c78afadab015c42c3a4d95626689b08016a7b84e4bd3a7d9fd8dc76bd0a8f3681eaf28d0ce4afbcdd6
Homepage: https://cran.r-project.org/package=ComplexUpset
Description: CRAN Package 'ComplexUpset' (Create Complex UpSet Plots Using 'ggplot2' Components)
 UpSet plots are an improvement over Venn Diagram for set overlap
 visualizations.  Striving to bring the best of the 'UpSetR' and 'ggplot2',
 this package offers a way to create complex overlap visualisations, using
 simple and familiar tools, i.e. geoms of 'ggplot2'.  For introduction to
 UpSet concept, see Lex et al. (2014) <doi:10.1109/TVCG.2014.2346248>.

Package: r-cran-complmrob
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-robustbase, r-cran-ggplot2, r-cran-boot, r-cran-scales
Filename: pool/dists/focal/main/r-cran-complmrob_0.7.1-1.ca2004.1_all.deb
Size: 94880
MD5sum: 891e4164748ee1b6b6302a7269e65696
SHA1: c81e87950c7035392c4a571a26d8d1b17ec70a45
SHA256: bd75ecccaf57d00290b2e1bcf9544d67a44ac112ea6745fcfa67d8d48b67cf04
SHA512: 44bad375dd45034c661fd647892edcf32f1153e7d8820140c33c33c2d0e6b279a38b449cd004094a231e8ae76ae9f1ed4f99227e7da611f00e4b31f51c1830ec
Homepage: https://cran.r-project.org/package=complmrob
Description: CRAN Package 'complmrob' (Robust Linear Regression with Compositional Data as Covariates)
 Robust regression methods for compositional data.  The distribution of the
 estimates can be approximated with various bootstrap methods. These
 bootstrap methods are available for the compositional as well as for
 standard robust regression estimates. This allows for direct comparison
 between them.

Package: r-cran-complognormal
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-complognormal_3.0-1.ca2004.1_all.deb
Size: 24380
MD5sum: a303b3b4c5130aeeefe1407dd29fa42c
SHA1: 4786d3afade71d5db4dabadc8c2b1820916b3a59
SHA256: 452698d5c497af4de11e9e7b71f3c8d61f09b7c5ef6c3c0bdbb63350fb273a13
SHA512: 38b1586a31dbe7ce469379288230a8eee2a46f912cb11eac94ba2eab13f4f630335df44256c2a25c129f5d331d1bce91f641d4fb6be2b56ba4f7f11bd8eef4e5
Homepage: https://cran.r-project.org/package=CompLognormal
Description: CRAN Package 'CompLognormal' (Functions for actuarial scientists)
 Computes the probability density function, cumulative distribution function,
 quantile function, random numbers of any composite model based on the
 lognormal distribution.

Package: r-cran-compmix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-mvtnorm, r-cran-gglasso, r-cran-higlasso, r-cran-hiernet, r-cran-glmnet, r-cran-superlearner, r-cran-bkmr, r-cran-qgcomp, r-cran-gwqs, r-cran-proc, r-cran-randomforest, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-compmix_0.1.0-1.ca2004.1_all.deb
Size: 92284
MD5sum: 4f1d033ace742505bab09a010945c225
SHA1: 14b0e99a4f5dc37bcc5236b1be5212aaee96d9e8
SHA256: b98c7cbebbbe2bb5d106053c9d6ed6b0020ab0f2f91ad0b5a84c11daa437cb1a
SHA512: 91d7d89dd5aa6fbdfb06bd8b17f6187a3044a9698e3abf3260f7b2e8939d0dca633b45c310aad436ee3202fa0f62a32dd652c8f6615db8acf98b7892c4a150cd
Homepage: https://cran.r-project.org/package=CompMix
Description: CRAN Package 'CompMix' (A Comprehensive Toolkit for Environmental Mixtures Analysis('CompMix'))
 Quantitative characterization of the health impacts associated with exposure
 to chemical mixtures has received considerable attention in current
 environmental and epidemiological studies. 'CompMix' package allows
 practitioners to estimate the health impacts from exposure to chemical
 mixtures data through various statistical approaches, including Lasso,
 Elastic net, Bayeisan kernel machine regression (BKMR), hierNet, Quantile
 g-computation, Weighted quantile sum (WQS) and Random forest. Hao W, Cathey
 A, Aung M, Boss J, Meeker J, Mukherjee B. (2024) "Statistical methods for
 chemical mixtures: a practitioners guide".
 <DOI:10.1101/2024.03.03.24303677>.

Package: r-cran-compositereliability
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lme4, r-cran-magrittr, r-cran-plyr, r-cran-psych, r-cran-reshape2, r-cran-tidyr, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-compositereliability_1.0.3-1.ca2004.1_all.deb
Size: 43440
MD5sum: 4bd26218894fe3fe2d7b9fac83b33f67
SHA1: f225d8135299a18207c6fcd8d30f8669024100b3
SHA256: 93886ca1c6a17774845dac8cc5cfc1b1fde8a35981ecb6bd0d9f197bfbc5ad0e
SHA512: cac9e3d64eafbf0b9081fa54695ca462a36b8a14207d65e5d6a75e769585b25f04079026d4be74375c1edf70cdfd28ea473c15de130359783dc418e94c54440b
Homepage: https://cran.r-project.org/package=CompositeReliability
Description: CRAN Package 'CompositeReliability' (Determine the Composite Reliability of a Naturalistic,Unbalanced Dataset)
 The reliability of assessment tools is a crucial aspect of monitoring
 student performance in various educational settings. It ensures that the
 assessment outcomes accurately reflect a student's true level of
 performance. However, when assessments are combined, determining composite
 reliability can be challenging, especially for naturalistic and unbalanced
 datasets. This package provides an easy-to-use solution for calculating
 composite reliability for different assessment types. It allows for the
 inclusion of weight per assessment type and produces extensive G- and
 D-study results with graphical interpretations. Overall, our approach
 enhances the reliability of composite assessments, making it suitable for
 various education contexts.

Package: r-cran-compositereliabilityinnesteddesigns
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lme4, r-cran-magrittr, r-cran-plyr, r-cran-psych, r-cran-reshape2, r-cran-tidyr, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-compositereliabilityinnesteddesigns_1.0.4-1.ca2004.1_all.deb
Size: 45044
MD5sum: 3b48dcef92c79c3426eaa4acec141e7d
SHA1: 7749be2918a0b9597c08d38244233019f5354809
SHA256: 9d6cd8df6bce3b7d69a33261442ede09a4685ef09dba4c5f2f2869a5dc68d2d4
SHA512: c798d4ecadb2061d4d02bc5738e61eba3ebe30ca7857b1a04614956d959a6df7774f17bf532460470fb1f6bea99df1e705002c347281db9e30e61de274fbcb95
Homepage: https://cran.r-project.org/package=compositeReliabilityInNestedDesigns
Description: CRAN Package 'compositeReliabilityInNestedDesigns' (Optimizing the Composite Reliability in Multivariate NestedDesigns)
 The reliability of assessment tools is a crucial aspect of monitoring
 student performance in various educational settings. It ensures that the
 assessment outcomes accurately reflect a student's true level of
 performance. However, when assessments are combined, determining composite
 reliability can be challenging, especially for naturalistic and unbalanced
 datasets in nested design as is often the case for Workplace-Based
 Assessments. This package is designed to estimate composite reliability in
 nested designs using multivariate generalizability theory and enhance the
 analysis of assessment data. The package allows for the inclusion of weight
 per assessment type and produces extensive G- and D-study results with
 graphical interpretations, and options to find the set of weights that
 maximizes the composite reliability or minimizes the standard error of
 measurement (SEM).

Package: r-cran-compositional
Architecture: all
Version: 7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1234
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bigstatsr, r-cran-cluster, r-cran-doparallel, r-cran-emplik, r-cran-energy, r-cran-foreach, r-cran-glmnet, r-cran-quantreg, r-cran-mass, r-cran-matrix, r-cran-mda, r-cran-minpack.lm, r-cran-mixture, r-cran-nnet, r-cran-quadprog, r-cran-rfast, r-cran-rfast2, r-cran-rnanoflann, r-cran-sn
Suggests: r-cran-bigparallelr, r-cran-codalm, r-cran-flexdir
Filename: pool/dists/focal/main/r-cran-compositional_7.6-1.ca2004.1_all.deb
Size: 1161504
MD5sum: 2ab2ce3002deb7293b1c98895c1f2cdc
SHA1: fcda70df16fb892ddf319981d160138640df8ffe
SHA256: 5bea9c6662e0545f82f6e81cb29929d98c8701ca3082e05245b36fb2b4026f70
SHA512: b6ad9ff94ace0d3faa6a8143f5cab394ae411b033fc1bd7a4cb01f1865790438aeab30f5a98993c6d9168c88f532a2fe529dd2d736afc04d966509ec139dbad7
Homepage: https://cran.r-project.org/package=Compositional
Description: CRAN Package 'Compositional' (Compositional Data Analysis)
 Regression, classification, contour plots, hypothesis testing and fitting of
 distributions for compositional data are some of the functions included. We
 further include functions for percentages (or proportions).  The standard
 textbook for such data is John Aitchison's (1986) "The statistical analysis
 of compositional data". Relevant papers include: a) Tsagris M.T., Preston S.
 and Wood A.T.A. (2011). "A data-based power transformation for compositional
 data". Fourth International International Workshop on Compositional Data
 Analysis. <doi:10.48550/arXiv.1106.1451> b) Tsagris M. (2014). "The k-NN
 algorithm for compositional data: a revised approach with and without zero
 values present". Journal of Data Science, 12(3): 519--534.
 <doi:10.6339/JDS.201407_12(3).0008>.  c) Tsagris M. (2015). "A novel,
 divergence based, regression for compositional data". Proceedings of the
 28th Panhellenic Statistics Conference, 15-18 April 2015, Athens, Greece,
 430--444. <doi:10.48550/arXiv.1511.07600>.  d) Tsagris M. (2015).
 "Regression analysis with compositional data containing zero values".
 Chilean Journal of Statistics, 6(2): 47--57.
 <https://soche.cl/chjs/volumes/06/02/Tsagris(2015).pdf>.  e) Tsagris M.,
 Preston S. and Wood A.T.A. (2016). "Improved supervised classification for
 compositional data using the alpha-transformation". Journal of
 Classification, 33(2): 243--261. <doi:10.1007/s00357-016-9207-5>.  f)
 Tsagris M., Preston S. and Wood A.T.A. (2017). "Nonparametric hypothesis
 testing for equality of means on the simplex". Journal of Statistical
 Computation and Simulation, 87(2): 406--422.
 <doi:10.1080/00949655.2016.1216554>.  g) Tsagris M. and Stewart C. (2018).
 "A Dirichlet regression model for compositional data with zeros".
 Lobachevskii Journal of Mathematics, 39(3): 398--412.
 <doi:10.1134/S1995080218030198>.  h) Alenazi A. (2019). "Regression for
 compositional data with compositional data as predictor variables with or
 without zero values". Journal of Data Science, 17(1): 219--238.
 <doi:10.6339/JDS.201901_17(1).0010>.  i) Tsagris M. and Stewart C. (2020).
 "A folded model for compositional data analysis". Australian and New Zealand
 Journal of Statistics, 62(2): 249--277. <doi:10.1111/anzs.12289>.  j)
 Alenazi A.A. (2022). "f-divergence regression models for compositional
 data". Pakistan Journal of Statistics and Operation Research, 18(4):
 867--882. <doi:10.18187/pjsor.v18i4.3969>.  k) Tsagris M. and Stewart C.
 (2022). "A Review of Flexible Transformations for Modeling Compositional
 Data". In Advances and Innovations in Statistics and Data Science, pp.
 225--234. <doi:10.1007/978-3-031-08329-7_10>.  l) Alenazi A. (2023). "A
 review of compositional data analysis and recent advances". Communications
 in Statistics--Theory and Methods, 52(16): 5535--5567.
 <doi:10.1080/03610926.2021.2014890>.  m) Tsagris M., Alenazi A. and Stewart
 C. (2023). "Flexible non-parametric regression models for compositional
 response data with zeros". Statistics and Computing, 33(106).
 <doi:10.1007/s11222-023-10277-5>.  n) Tsagris. M. (2025). "Constrained least
 squares simplicial-simplicial regression". Statistics and Computing, 35(27).
 <doi:10.1007/s11222-024-10560-z>.  o) Sevinc V. and Tsagris. M. (2024).
 "Energy Based Equality of Distributions Testing for Compositional Data".
 <doi:10.48550/arXiv.2412.05199>.

Package: r-cran-compositionalml
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boruta, r-cran-compositional, r-cran-doparallel, r-cran-e1071, r-cran-foreach, r-cran-ranger, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-compositionalml_1.0-1.ca2004.1_all.deb
Size: 68148
MD5sum: 083521153ea54ffb24448d541e25dd23
SHA1: 39428f850e8cad6daee70d77ba661e5c84c6d9a6
SHA256: 0b83cb61a7c75edfe901dab91d755d5a2f34468717de1cc55a6d96f1a6cb796b
SHA512: 5fa4912e799d2f8d0f76a19eee3c2437b08d9abc38db7ad0a50aaeec55f43e3fe2abadc72cb87b296bda307a81414c119c33613168d086cff43abbd06a9428fb
Homepage: https://cran.r-project.org/package=CompositionalML
Description: CRAN Package 'CompositionalML' (Machine Learning with Compositional Data)
 Machine learning algorithms for predictor variables that are compositional
 data and the response variable is either continuous or categorical.
 Specifically, the Boruta variable selection algorithm, random forest,
 support vector machines and projection pursuit regression are included.
 Relevant papers include: Tsagris M.T., Preston S. and Wood A.T.A. (2011). "A
 data-based power transformation for compositional data". Fourth
 International International Workshop on Compositional Data Analysis.
 <doi:10.48550/arXiv.1106.1451> and Alenazi, A. (2023). "A review of
 compositional data analysis and recent advances". Communications in
 Statistics--Theory and Methods, 52(16): 5535--5567.
 <doi:10.1080/03610926.2021.2014890>.

Package: r-cran-compositionalrf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-compositional, r-cran-doparallel, r-cran-foreach, r-cran-multivariaterandomforest, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-compositionalrf_1.0-1.ca2004.1_all.deb
Size: 22976
MD5sum: c235a7aba9cdad7071b67c8fa3fe154c
SHA1: cdcf7700dbf60b548d76e483d2be4943c243c667
SHA256: 774a43ed9966c1776a2d9b82a6294972c3055ec07baa25eff8bda543f579744b
SHA512: 0a7f64c0adb087881fb97badf5378889660c8278ee585f2e790ec379fa97ba89d878b44422241d38421f960c0a4b2b08c3cdeb922153f02e622f4587b53a2d4c
Homepage: https://cran.r-project.org/package=CompositionalRF
Description: CRAN Package 'CompositionalRF' (Multivariate Random Forest with Compositional Responses)
 Non linear regression with compositional responses and Euclidean predictors
 is performed. The compositional data are first transformed using the
 additive log-ratio transformation, and then the multivariate random forest
 of Rahman R., Otridge J. and Pal R. (2017),
 <doi:10.1093/bioinformatics/btw765>, is applied.

Package: r-cran-composits
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2590
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-otsad, r-cran-tsoutliers, r-cran-forecast, r-cran-anomalize, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-pracma, r-cran-dobin, r-cran-ics, r-cran-fastica, r-cran-gridextra, r-cran-ggplot2, r-cran-tidyr, r-cran-kableextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tourr, r-cran-stringr, r-cran-broom, r-cran-maptools
Filename: pool/dists/focal/main/r-cran-composits_0.1.1-1.ca2004.1_all.deb
Size: 1804652
MD5sum: ee29c3c528f155f89a80c3fc06721561
SHA1: 861ce0ee005dfaea40237df368378478cfe2e843
SHA256: ad6743581f0d9b91ee4df14622610a09652ad8a241362a6560895e4479a808e1
SHA512: a5ab703e1da1bdaf3c4eafe84eeb59f9d9bb97bfb57d4299b492dfe68c602ae8e5b14b9d586d363279a3574176a6e884ec1ed4f6175aa47c889d5a1bb3332294
Homepage: https://cran.r-project.org/package=composits
Description: CRAN Package 'composits' (Compositional, Multivariate and Univariate Time Series OutlierEnsemble)
 A compositional, multivariate and univariate time series outlier ensemble.
 It uses the four R packages 'forecast', 'tsoutliers', 'otsad' and
 'anomalize' to detect time series outliers (Kandanaarachchi, Menendez 2020)
 <doi:10.13140/RG.2.2.32217.95845>.

Package: r-cran-compound.cox
Architecture: all
Version: 3.33-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-numderiv, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-compound.cox_3.33-1.ca2004.1_all.deb
Size: 144012
MD5sum: a4dbfd2d6d83f9417f12c3e766052de3
SHA1: d7fbc303153b63522d247800601390efca360d21
SHA256: d39b01e633fa190748ec47fb5f8c470036cab6cc3a4f6288ffc4447108ef873f
SHA512: 2bec2bea418f01397b5fea71b60af9cb7558750ffa1549d5052dee2a730266d2612f305c21ecc3dc9cb93d27074842ac3f9c106aeaccabd217c258ea0491425c
Homepage: https://cran.r-project.org/package=compound.Cox
Description: CRAN Package 'compound.Cox' (Univariate Feature Selection and Compound Covariate forPredicting Survival, Including Copula-Based Analyses forDependent Censoring)
 Univariate feature selection and compound covariate methods under the Cox
 model with high-dimensional features (e.g., gene expressions).  Available
 are survival data for non-small-cell lung cancer patients with gene
 expressions (Chen et al 2007 New Engl J Med) <DOI:10.1056/NEJMoa060096>,
 statistical methods in Emura et al (2012 PLoS ONE)
 <DOI:10.1371/journal.pone.0047627>, Emura & Chen (2016 Stat Methods Med Res)
 <DOI:10.1177/0962280214533378>, and Emura et al
 (2019)<DOI:10.1016/j.cmpb.2018.10.020>.  Algorithms for generating
 correlated gene expressions are also available.  Estimation of survival
 functions via copula-graphic (CG) estimators is also implemented, which is
 useful for sensitivity analyses under dependent censoring (Yeh et al 2023
 Biomedicines) <DOI:10.3390/biomedicines11030797> and factorial survival
 analyses (Emura et al 2024 Stat Methods Med Res)
 <DOI:10.1177/09622802231215805>.

Package: r-cran-compoundevents
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-compoundevents_0.3.0-1.ca2004.1_all.deb
Size: 41832
MD5sum: 88a6365460390236b84f4ec336d2bcea
SHA1: 05dc66872cfae109edff8383467248505e1c0aeb
SHA256: e0fca42e197fc56744f433b02523a7836e7e3161f96b7fb83602f2dfc739a74f
SHA512: 703d96d66ac2955140507e2d2b0cde647eb86289c40e907192b8be8ac4dca64af84c7a2c49751b5e1a6587e04372ed81d82acbaee1ad6d8ab631a28d6cc2817a
Homepage: https://cran.r-project.org/package=CompoundEvents
Description: CRAN Package 'CompoundEvents' (Statistical Modeling of Compound Events)
 Tools for extracting occurrences, assessing potential driving factors,
 predicting occurrences, and quantifying impacts of compound events in
 hydrology and climatology. Please see Hao Zengchao et al. (2019)
 <doi:10.1088/1748-9326/ab4df5>.

Package: r-cran-compounding
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hypergeo
Filename: pool/dists/focal/main/r-cran-compounding_1.0.2-1.ca2004.1_all.deb
Size: 280452
MD5sum: a0762f390a72eb987ac1fe6f7bfdf362
SHA1: e6d9c3722adc520fddc475d17ce314a6b5eb82d3
SHA256: d106dc81f75493ef51240c57fc0c01b8e37c857872622a4fe453460e682d69e1
SHA512: fd721f2390c28c5f0251a4448d60821fed6ac25bc0636fb1f73d454b30d218e791f498a902dc570c9250e12e3f753efde4e4cb9b32b26de2c72709bd85888b8b
Homepage: https://cran.r-project.org/package=Compounding
Description: CRAN Package 'Compounding' (Computing Continuous Distributions)
 Computing Continuous Distributions Obtained by Compounding a Continuous and
 a Discrete Distribution

Package: r-cran-comppareto
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-actuar
Filename: pool/dists/focal/main/r-cran-comppareto_0.1.0-1.ca2004.1_all.deb
Size: 32564
MD5sum: 2d76c47c07b880e05d326ecafd593396
SHA1: d575280c78e268b0987dfce4ad032087c1968f0b
SHA256: cdffdec3941f3e1e0770cc72ce046b660f3feee43585967eb9013c999b2d33c7
SHA512: 850acdc8e3e6101648679f00ab051e52d6032991fe4312d16d6a48f1aea0d73ea31f291debe39c593c9d9257feb795c312b4b0e40d4a937fe87dc5d1bbfb459e
Homepage: https://cran.r-project.org/package=CompPareto
Description: CRAN Package 'CompPareto' (Discrete Composite Distributions with Pareto Tails)
 Contains the probability density function, cumulative distribution function,
 quantile function, and random number generator for composite and discrete
 composite distributions with Pareto tails. The detailed description of the
 methods and the applications of the methods can be found in Bowen Liu,
 Malwane M.A. Ananda (2023) <arXiv:2309.16443>.

Package: r-cran-compr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-compr_1.0-1.ca2004.1_all.deb
Size: 239580
MD5sum: e5db9fcbe99e0f82b98f55a3adbd57e6
SHA1: 8180e51aaecb770f9b84b7a12b32debad98df48f
SHA256: b29001b5815f9a4deb2d18318d5e47d499b40687a39576d47a80a411b714acd6
SHA512: 0daec254193397ce5e9c88d229f3111a4411066d23f4e6197105292ee62495b0f26caf74ef5c585b5ee91054c61ac64b309cc1476025da409942e0e3e73d31a2
Homepage: https://cran.r-project.org/package=CompR
Description: CRAN Package 'CompR' (Paired Comparison Data Analysis)
 Different tools for describing and analysing paired comparison data are
 presented. Main methods are estimation of products scores according Bradley
 Terry Luce model. A segmentation of the individual could be conducted on the
 basis of a mixture distribution approach. The number of classes can be
 tested by the use of Monte Carlo simulations. This package deals also with
 multi-criteria paired comparison data.

Package: r-cran-comprehenr
Architecture: all
Version: 0.6.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-tinytest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-comprehenr_0.6.10-1.ca2004.1_all.deb
Size: 39580
MD5sum: dd5b7339b2dbc284c2b2701be881b465
SHA1: f72cbb530bdec727def8ac3b741101d707ae0396
SHA256: e237a8c61a05e4e60090c242695ed03b7b3dd7f508bed477e65a6d2a7cf7ab96
SHA512: 2af95b01d9c0aaef85a37c988b11615a2ef63d3852eb441c437d892cbef2ddf745fd7f3cd6957511325bfd6eb2ef05f90f76ad4f7e2fb5a246cd7f56f8c650f7
Homepage: https://cran.r-project.org/package=comprehenr
Description: CRAN Package 'comprehenr' (List Comprehensions)
 Provides 'Python'-style list comprehensions.  List comprehension expressions
 use usual loops (for(), while() and repeat()) and usual if() as list
 producers. In many cases it gives more concise notation than standard
 "*apply + filter" strategy.

Package: r-cran-compute.es
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-compute.es_0.2-5-1.ca2004.1_all.deb
Size: 335884
MD5sum: 25b2dfca82f0467fc3bd7a26caf8b3fd
SHA1: 2e058ce3f2d482909d510289bf557a7d98048fd8
SHA256: a41efef028f44cead5ec9c1f20d763f3dd8adfdcc815e4537b7cf8c6fbd5b105
SHA512: 19ae6956d4d997b828b68a6048cb57ed72d2338a24f6976dbe59f5cf78c2f77d058401b2455433c3cfe17a290e822afac38ee6a422aa1bbb64c80398e87e226f
Homepage: https://cran.r-project.org/package=compute.es
Description: CRAN Package 'compute.es' (Compute Effect Sizes)
 Several functions are available for calculating the most widely used effect
 sizes (ES), along with their variances, confidence intervals and p-values.
 The output includes ES's of d (mean difference), g (unbiased estimate of d),
 r (correlation coefficient), z' (Fisher's z), and OR (odds ratio and log
 odds ratio). In addition, NNT (number needed to treat), U3, CLES (Common
 Language Effect Size) and Cliff's Delta are computed. This package uses
 recommended formulas as described in The Handbook of Research Synthesis and
 Meta-Analysis (Cooper, Hedges, & Valentine, 2009).

Package: r-cran-comradesm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4368
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-comradesm_0.1.1-1.ca2004.1_all.deb
Size: 4442500
MD5sum: 2648e64fda29e93d36a9eaed4b9ea860
SHA1: b7ec968a9f9cd8a4d12a490531de90e968b143d9
SHA256: fb081b6be5ad85bc25b7d1a646940ab62ae9cae6da5fc839d876db9a1973e3ba
SHA512: bedeae5427c0422ea7cfc104ba96807ec5e96b6c9b32d4afce942be1a637136b63523ea1bf101049b2f0abd8c43dba12b69a18a65fcc6fee88a3c79a4ff5e41e
Homepage: https://cran.r-project.org/package=ComradesM
Description: CRAN Package 'ComradesM' (The Comrades Marathon 1921 to 2019)
 Datasets related to the Comrades Marathon used in the book Antony Unwin
 (2024, ISBN:978-0367674007) "Getting (more out of) Graphics". The main
 dataset contains the times of every runner that finished in the time limit
 for each year the race was run.

Package: r-cran-comradesoo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4270
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-seqinr, r-bioc-genomicranges, r-cran-ggplot2, r-cran-reshape2, r-cran-mass, r-cran-mixtools, r-bioc-s4vectors, r-cran-doparallel, r-cran-igraph, r-bioc-r4rna, r-cran-rcolorbrewer, r-bioc-iranges, r-cran-foreach, r-cran-heatmap3, r-cran-topdom, r-cran-tidyverse, r-cran-rrna, r-cran-ggrepel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-comradesoo_0.1.1-1.ca2004.1_all.deb
Size: 1913356
MD5sum: 9353d99fdf987666d29de55186421837
SHA1: 56956729e9de6a45356b3268680db0614bcc59af
SHA256: ea05d304e29770929b3e8ea72b1fddf2bdc95530b5cb5c9ce662855430b065b5
SHA512: b19413d3a773dd944797b45a2f1898119f87c76dd3dea088a74c13f349c444036c45c6ce037ed359b63faf430ff1bb3b435301f0713517f84edebd2bf64e95a2
Homepage: https://cran.r-project.org/package=comradesOO
Description: CRAN Package 'comradesOO' (Analysis of COMRADES (Cross-Linking Matched RNA and DeepSequencing) Data)
 Analysis of RNA crosslinking data for RNA structure prediction. The package
 is suitable for the analysis of RNA structure cross-linking data and
 chemical probing data.

Package: r-cran-comriskmodel
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-adequacymodel
Filename: pool/dists/focal/main/r-cran-comriskmodel_0.2.0-1.ca2004.1_all.deb
Size: 282776
MD5sum: c0f9e8b11595895163f5ef182e8614f7
SHA1: b35b595e55ae3aec5afade8bdf73fe8c544d24a0
SHA256: 014e550573cf2aa18e1d53bee069584bbbefa8efc315a73ec3abe1c5fa3d64fa
SHA512: 031c575b5844ea32fd678243565b639fa6bea8f4fc9953d4d395a4429a17e6618e14c57c59fb09c6c52153fc90bfe3a74f0c079e58bba7cba9861c0b412f1f1d
Homepage: https://cran.r-project.org/package=ComRiskModel
Description: CRAN Package 'ComRiskModel' (Fitting of Complementary Risk Models)
 Evaluates the probability density function (PDF), cumulative distribution
 function (CDF), quantile function (QF), random numbers and maximum
 likelihood estimates (MLEs) of well-known complementary binomial-G,
 complementary negative binomial-G and complementary geometric-G families of
 distributions taking baseline models such as exponential, extended
 exponential, Weibull, extended Weibull, Fisk, Lomax, Burr-XII and Burr-X.
 The functions also allow computing the goodness-of-fit measures namely the
 Akaike-information-criterion (AIC), the Bayesian-information-criterion
 (BIC), the minimum value of the negative log-likelihood (-2L) function,
 Anderson-Darling (A) test, Cramer-Von-Mises (W) test, Kolmogorov-Smirnov
 test, P-value and convergence status. Moreover, some commonly used data sets
 from the fields of actuarial, reliability, and medical science are also
 provided. Related works include: a) Tahir, M. H., & Cordeiro, G. M. (2016).
 Compounding of distributions: a survey and new generalized classes. Journal
 of Statistical Distributions and Applications, 3, 1-35.
 <doi:10.1186/s40488-016-0052-1>.

Package: r-cran-comsimitv
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-vegan
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-comsimitv_0.1.5-1.ca2004.1_all.deb
Size: 139324
MD5sum: 4ebfa3135c8a0b1ce39c6258c4682427
SHA1: c0da1a3ba403d33eabcca71366203691583ca01e
SHA256: 84f0179994e715bfaf2572dd0b34e0962ae5d6f3980c117479a5f6b1afc9469d
SHA512: b7d66a70afa5eaaa43d055d9abff7c01f557df3923f285140410b468321c200b6ae4177c049b2d247693272fbcad6388b3dffca9d07ad9201784e94ca40afdb8
Homepage: https://cran.r-project.org/package=comsimitv
Description: CRAN Package 'comsimitv' (Flexible Framework for Simulating Community Assembly)
 Flexible framework for trait-based simulation of community assembly, where
 components could be replaced by user-defined function and that allows
 variation of traits within species.

Package: r-cran-comstab
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ternary
Filename: pool/dists/focal/main/r-cran-comstab_0.0.3-1.ca2004.1_all.deb
Size: 37596
MD5sum: e13e7f746351c5aade47e23e64d06796
SHA1: 506673e003b45703c7ced6d9c57a0a627b7720d7
SHA256: 66a4a2a57eaddf24346d1c4029c381bba74ce3660e407d4567f439c24abd2319
SHA512: ff2709b1696b36a5ad6102682ad08415ee567c767003cc113e9ddce959841906e94b9c2937d8bf308a0f9943b2a41bdd0d3831034af171779a356f5658a7d272
Homepage: https://cran.r-project.org/package=comstab
Description: CRAN Package 'comstab' (Partitioning the Drivers of Stability of Ecological Communities)
 Contains the basic functions to apply the unified framework for partitioning
 the drivers of stability of ecological communities.  Segrestin et al. (2024)
 <doi:10.1111/geb.13828>.

Package: r-cran-comtradr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3475
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lifecycle, r-cran-fs, r-cran-readr, r-cran-askpass, r-cran-cli, r-cran-httr2, r-cran-rlang, r-cran-stringr, r-cran-poorman, r-cran-lubridate, r-cran-purrr, r-cran-rappdirs, r-cran-memoise, r-cran-cachem
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-callr
Filename: pool/dists/focal/main/r-cran-comtradr_1.0.3-1.ca2004.1_all.deb
Size: 3174468
MD5sum: c8a8aff43506f6d8874d460eb949c163
SHA1: 11dc1386709f2000eba498ee14c4a4155f29e075
SHA256: de6ec885c4b787827cf953317685c272c9582bb9b71aeb817e7424a7aeb62373
SHA512: aab03b3a11d4c87bd102dfedca6a588c5cb5cbd252dea29d0b5ae4e9ce161976b3609dec3bcae7d33994bc966622e949bd76e73006a7ee667650df898ee1fd3e
Homepage: https://cran.r-project.org/package=comtradr
Description: CRAN Package 'comtradr' (Interface with the United Nations Comtrade API)
 Interface with and extract data from the United Nations 'Comtrade' API
 <https://comtradeplus.un.org/>. 'Comtrade' provides country level shipping
 data for a variety of commodities, these functions allow for easy API query
 and data returned as a tidy data frame.

Package: r-cran-con2aqi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-con2aqi_0.1.0-1.ca2004.1_all.deb
Size: 13852
MD5sum: 291cc6a9e0c69b810cd5691825bd666a
SHA1: 0c240fb69090ffc8623d4ccbb5ea1389c5601140
SHA256: edc77750fb875009e38fd6c9deb4a89872d5b128c06c017ba1f3dd07ac56d01f
SHA512: 8cc06a7b254ea5fed4b7b3df02fcbe5897ca98cc5ff4e1527069432756a209579fda676be92851c7a135896e34a418fefd472530c3f386f0488c33a0cc296550
Homepage: https://cran.r-project.org/package=con2aqi
Description: CRAN Package 'con2aqi' (Calculate the AQI from Pollutant Concentration)
 To calculate the AQI (Air Quality Index) from pollutant concentration data.
 O3, PM2.5, PM10, CO, SO2, and NO2 are available currently.  The method can
 be referenced at Environmental Protection Agency, United States as follows:
 EPA (2016)
 <https://www3.epa.gov/airnow/aqi-technical-assistance-document-may2016.pdf>.

Package: r-cran-con2lki
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-con2lki_0.1.0-1.ca2004.1_all.deb
Size: 17656
MD5sum: 42a9f92feb869111f265ae7584d67c07
SHA1: 62271c93ddd75ed60d27b847ef4fce2f83a947f4
SHA256: 88aed52fd8457f705c9ae265ce050cf3e8f863bbdc8a264d8078501bf5f9fe96
SHA512: 893f6bf53e20e721137ac2b6ae824e09d0f20456b3223ad6515b60f9486d6c411aa76d11357cad4ad7052351d977f4f5774b5d86e734d9f1053760877b5eeed5
Homepage: https://cran.r-project.org/package=con2lki
Description: CRAN Package 'con2lki' (Calculate the Dutch Air Quality Index (LKI))
 Calculates the dutch air quality index (LKI). This index was created on the
 basis of scientific studies of the health effects of air pollution. From
 these studies it can be deduced at what concentrations a certain percentage
 of the population can be affected. For more information see:
 <https://www.rivm.nl/bibliotheek/rapporten/2014-0050.pdf>.

Package: r-cran-conake
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-conake_1.0.1-1.ca2004.1_all.deb
Size: 36100
MD5sum: 256e0694593e9d063988f7c1a67a0133
SHA1: eda51ce8eca89be5c7d31545e80c5a59f4708531
SHA256: 9e0bdfad35943abf5a5c93c5d334f2f4140189ea113cf93dff3049a846c7b4ac
SHA512: aaa6fab3373370d17b4e80bc7ac7e537e47150c145dd8118ea723c3aaf698d0b84d26abab6780a746491af9523c8a054eeccd2a8412a5aad69901807cc363b3a
Homepage: https://cran.r-project.org/package=Conake
Description: CRAN Package 'Conake' (Continuous Associated Kernel Estimation)
 Continuous smoothing of probability density function on a compact or
 semi-infinite support is performed using four continuous associated kernels:
 extended beta, gamma, lognormal and reciprocal inverse Gaussian. The
 cross-validation technique is also implemented for bandwidth selection.

Package: r-cran-concatenate
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-concatenate_1.0.0-1.ca2004.1_all.deb
Size: 32352
MD5sum: d59fb8ea5cf81701c67bb2e8e9c6f2b3
SHA1: 1586ca2f5e5454cdd4529e1e95e1235e68f778ca
SHA256: f7a2cdf167a546aee34435a6dc5e25face8bc6de9e570252c6865d8ffdc38b97
SHA512: 606b3188146b80ceb85da1ab440ee1b27a298715b3e6164f835f7afe6490977793e75ddec3620fa3055a89222be26cdcaa9df0b459fe1aa8236ce3b55ea5b4ea
Homepage: https://cran.r-project.org/package=concatenate
Description: CRAN Package 'concatenate' (Human-Friendly Text from Unknown Strings)
 Simple functions for joining strings. Construct human-friendly messages
 whose elements aren't known in advance, like in stop, warning, or message,
 from clean code.

Package: r-cran-concatipede
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1918
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-igraph, r-cran-qualv, r-cran-magrittr, r-cran-tibble, r-cran-readxl, r-cran-stringdist, r-cran-stringr, r-cran-writexl
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-concatipede_1.0.1-1.ca2004.1_all.deb
Size: 1166032
MD5sum: f2134b95ab9b8354600ae0f77bca5149
SHA1: 7a37d336abad45b3274dde4ad9cffbe24910fc79
SHA256: 9107e28e104721d91e5ac36409f82082fd807e21d53800a0234b7a64939966ca
SHA512: 1173d6db2426ef4bc4f3bf5b86656a7314c46b59d166b4ed33547778a55902220325c2df3f82d737af6282710e4ac7bac306584fd273b83a581cfe6292488799
Homepage: https://cran.r-project.org/package=concatipede
Description: CRAN Package 'concatipede' (Easy Concatenation of Fasta Sequences)
 Concatenation of multiple sequence alignments based on a correspondence
 table that can be edited in Excel <doi:10.5281/zenodo.5130603>.

Package: r-cran-concaveman
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8, r-cran-sf, r-cran-magrittr, r-cran-jsonlite, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-concaveman_1.1.0-1.ca2004.1_all.deb
Size: 88364
MD5sum: f2118650ec471cbae369f3f6c4015a70
SHA1: af95d87ee3636afbfdec5d11fee545fa90e75817
SHA256: 9b5e1ae47004e78705d88499e08b30335a8f6c196f2d8174b7e2708f4123671c
SHA512: 95292aa3d6670406a3b7ea2b863638992a2db97bc50dc6364ed005a36942cf907dff8854e5b1dc74f4bfc2ebecdf3c46de5e890ecb92d387ed51a26bf38a286c
Homepage: https://cran.r-project.org/package=concaveman
Description: CRAN Package 'concaveman' (A Very Fast 2D Concave Hull Algorithm)
 The concaveman function ports the 'concaveman'
 (<https://github.com/mapbox/concaveman>) library from 'mapbox'. It computes
 the concave polygon(s) for one or several set of points.

Package: r-cran-conclust
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-conclust_1.1-1.ca2004.1_all.deb
Size: 65320
MD5sum: ebeefe3f16dcf902ca3d125f175d9ca3
SHA1: 009571769445e7698a6a2287f8969e0eb2dd9211
SHA256: 1bd7ea1ae750f4e24a20dd404642d26d5aae95172a1bc496fa7aa3865fc539da
SHA512: e0a3d93fc712be9da76bc820e249041bea07773f4be8248b83e5fc3283a720149e4b82e930de7e813fc21813469a0e4acdb64e6f1719f79bbe28a9aba16317a2
Homepage: https://cran.r-project.org/package=conclust
Description: CRAN Package 'conclust' (Pairwise Constraints Clustering)
 There are 4 main functions in this package: ckmeans(), lcvqe(), mpckm() and
 ccls(). They take an unlabeled dataset and two lists of must-link and
 cannot-link constraints as input and produce a clustering as output.

Package: r-cran-conconianaerobicthresholdtest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1064
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tracker, r-cran-sizer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-conconianaerobicthresholdtest_1.0.0-1.ca2004.1_all.deb
Size: 720808
MD5sum: a6cb30ffdc8eb905777128a560b2ad66
SHA1: 7d843e9429cce7393706a86c73f5b8f57bad9cc8
SHA256: 7f285a201873942f8814fcff7da9c19a00796471bdd411b06d96d746c1c13a4c
SHA512: 31f67375063b8f5192f2fddef83e41b270515c9f3de79852e552fdd6c3801988ba321a055a98449095294202d0fb7eeb3da1cce6156f9ecd76e0cb56e4589af4
Homepage: https://cran.r-project.org/package=ConconiAnaerobicThresholdTest
Description: CRAN Package 'ConconiAnaerobicThresholdTest' (Conconi Estimate of Anaerobic Threshold from a TCX File)
 Analyzes data from a Conconi et al. (1996) <doi:10.1055/s-2007-972887>
 treadmill fitness test where speed is augmented by a constant amount every
 set number of seconds to estimate the anaerobic (lactate) threshold speed
 and heart rate. It reads a TCX file, allows optional removal observations
 from before and after the actual test, fits a change-point linear model
 where the change-point is the estimate of the lactate threshold, and plots
 the data points and fit model. Details of administering the fitness test are
 provided in the package vignette. Functions work by default for Garmin
 Connect TCX exports but may require additional data preparation for heart
 rate, time, and speed data from other sources.

Package: r-cran-concordance
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-concordance_2.0.0-1.ca2004.1_all.deb
Size: 3105868
MD5sum: 4c7a5c548520ab1700214ac750c4bbd4
SHA1: 6e7e04bf71519881ea90f2b5c9b8b21c354d6704
SHA256: 35636675d6e19621cafd9d51450fc8c7920f52eea187438327b832d3bcfee0fb
SHA512: 3068f853e49989fffb629c4f85dfd42c93241ca81abde1172668ca08ed8a15c7d35e262547fbdef00f5f7db881012018bb8e3463478edaf841a02427dffaa99e
Homepage: https://cran.r-project.org/package=concordance
Description: CRAN Package 'concordance' (Product Concordance)
 A set of utilities for matching products in different classification codes
 used in international trade research. It supports concordance between the
 Harmonized System (HS0, HS1, HS2, HS3, HS4, HS5, HS combined), the Standard
 International Trade Classification (SITC1, SITC2, SITC3, SITC4), the North
 American Industry Classification System (NAICS combined), as well as the
 Broad Economic Categories (BEC), the International Standard of Industrial
 Classification (ISIC), and the Standard Industrial Classification (SIC). It
 also provides code nomenclature/descriptions look-up, Rauch classification
 look-up (via concordance to SITC2), and trade elasticity look-up (via
 concordance to HS0 or SITC3 codes).

Package: r-cran-concordancetest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-concordancetest_1.0.3-1.ca2004.1_all.deb
Size: 70480
MD5sum: 879c5fa7c8df4b2da219095fb6d472ae
SHA1: 5ffab38effbcf3ec557a46530a0c490addc9e5ee
SHA256: 201475109cb5e08de2d848d42709107611addc23a62397c5be3346e94e0e1b41
SHA512: ea263b594143e0758a17eb90e86fc1fbd43e8d9c907507bd6712ca28e92596bb54fecf8c06e927197888903738bc5cc8795dbb7852b287abf4c18be7085697ab
Homepage: https://cran.r-project.org/package=ConcordanceTest
Description: CRAN Package 'ConcordanceTest' (An Alternative to the Kruskal-Wallis Based on the Kendall TauDistance)
 The Concordance Test is a non-parametric method for testing whether two o
 more samples originate from the same distribution. It extends the Kendall
 Tau correlation coefficient when there are only two groups. For details, see
 Alcaraz J., Anton-Sanchez L., Monge J.F. (2022) The Concordance Test, an
 Alternative to Kruskal-Wallis Based on the Kendall-tau Distance: An R
 Package. The R Journal 14, 26–53 <doi:10.32614/RJ-2022-039>.

Package: r-cran-concorr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-sna
Filename: pool/dists/focal/main/r-cran-concorr_0.2.1-1.ca2004.1_all.deb
Size: 109212
MD5sum: 7a120e7546e0457475bc134e3f3650f5
SHA1: a95aa2b0ced229566fb288069709b295ce867245
SHA256: d938742add04564887c8356217d792ab366ffdecaf1f6d0f24eb9078d14f50e1
SHA512: d9702c897ac776491401b967d14df99b75d8ad468b5361c01ad46c020188891e9b973f766646a712b7e19d7ff7c4b451184bd82a9ad21acb86babb21185b03b2
Homepage: https://cran.r-project.org/package=concorR
Description: CRAN Package 'concorR' (CONCOR and Supplemental Functions)
 Contains the CONCOR (CONvergence of iterated CORrelations) algorithm and a
 series of supplemental functions for easy running, plotting, and
 blockmodeling. The CONCOR algorithm is used on social network data to
 identify network positions based off a definition of structural equivalence;
 see Breiger, Boorman, and Arabie (1975) <doi:10.1016/0022-2496(75)90028-0>
 and Wasserman and Faust's book Social Network Analysis: Methods and
 Applications (1994). This version allows multiple relationships for the same
 set of nodes and uses both incoming and outgoing ties to find positions.

Package: r-cran-concstats
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1250
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dplyr, r-cran-devtools, r-cran-kableextra, r-cran-ggplot2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-concstats_0.1.6-1.ca2004.1_all.deb
Size: 742948
MD5sum: 42b25091be7ce0b66c14906bdf3de059
SHA1: f28f7e2fa8b1c474a38e6f7ca44386e7875faa6e
SHA256: 6f0a5dd6cfc9e73ffdfe6586caa38a97402a56ec44c183b808d705c9f3d9ace3
SHA512: 9e8859cbe90e36ab5d75ed38cadd3803bfdd34f3e81e8b20d19114567203d3d41e1617b67528f3a2134612f9ba331f3ea3b0cdfa1cd3799af90a037c700e5e3d
Homepage: https://cran.r-project.org/package=concstats
Description: CRAN Package 'concstats' (Market Structure, Concentration and Inequality Measures)
 Based on individual market shares of all participants in a market or space,
 the package offers a set of different structural and concentration measures
 frequently - and not so frequently - used in research and in practice.
 Measures can be calculated in groups or individually.  The calculated
 measure or the resulting vector in table format should help practitioners
 make more informed decisions. Methods used in this package are from: 1.
 Chang, E. J., Guerra, S. M., de Souza Penaloza, R. A. & Tabak, B. M.  (2005)
 "Banking concentration: the Brazilian case".  2.  Cobham, A. and A. Summer
 (2013). "Is It All About the Tails? The Palma Measure of Income Inequality".
 3.  Garcia Alba Idunate, P. (1994). "Un Indice de dominancia para el
 analisis de la estructura de los mercados".  4.  Ginevicius, R. and S. Cirba
 (2009). "Additive measurement of market concentration"
 <doi:10.3846/1611-1699.2009.10.191-198>.  5.  Herfindahl, O. C. (1950),
 "Concentration in the steel industry" (PhD thesis).  6.  Hirschmann, A. O.
 (1945), "National power and structure of foreign trade".  7.  Melnik, A., O.
 Shy, and R. Stenbacka (2008), "Assessing market dominance"
 <doi:10.1016/j.jebo.2008.03.010>.  8.  Palma, J. G. (2006). "Globalizing
 Inequality: 'Centrifugal' and 'Centripetal' Forces at Work".  9.  Shannon,
 C. E. (1948). "A Mathematical Theory of Communication".  10.  Simpson, E. H.
 (1949). "Measurement of Diversity" <doi:10.1038/163688a0>.

Package: r-cran-concur
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-compquadform, r-cran-dplyr, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-concur_1.5-1.ca2004.1_all.deb
Size: 62260
MD5sum: 2467731bf797777e8a64150ecef7f9d4
SHA1: c339193a704fb22e4cfee80e51f31b3e73757a38
SHA256: a3bdca9ae968abd13932da19d02151654f3958f7d295ccc73889cc1c8786a450
SHA512: f441a0e049a1af193e5504e48ee52eda8eb53f8f55cee7a4a41282e0eb916ca1324e00b802d60791dc037a505a490b9126fffab232b981122eaa328790e88cd0
Homepage: https://cran.r-project.org/package=CONCUR
Description: CRAN Package 'CONCUR' (Copy Number Profile Curve-Based Association Test)
 Implements a kernel-based association test for copy number variation (CNV)
 aggregate analysis in a certain genomic region (e.g., gene set, chromosome,
 or genome) that is robust to the within-locus and across-locus etiological
 heterogeneity, and bypass the need to define a "locus" unit for CNVs.
 Brucker, A., et al. (2020) <doi:10.1101/666875>.

Package: r-cran-concurve
Architecture: all
Version: 2.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 576
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bcaboot, r-cran-boot, r-cran-dplyr, r-cran-flextable, r-cran-ggplot2, r-cran-knitr, r-cran-metafor, r-cran-officer, r-cran-pbmcapply, r-cran-profilelikelihood, r-cran-scales, r-cran-colorspace, r-cran-survival, r-cran-survminer, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-mass, r-cran-lme4, r-cran-covr, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-rmarkdown, r-cran-lock5data, r-cran-cardata, r-cran-bench, r-cran-rms, r-cran-brms, r-cran-rstan, r-cran-rstanarm, r-cran-bayesplot, r-cran-vdiffr, r-cran-ggtext, r-cran-daewr, r-cran-svglite, r-cran-data.table, r-cran-nlme, r-cran-simstudy, r-cran-patchwork, r-cran-cowplot, r-cran-reprex
Filename: pool/dists/focal/main/r-cran-concurve_2.7.7-1.ca2004.1_all.deb
Size: 303728
MD5sum: b2ee78b11bf309acc9d0954f9e6a28c8
SHA1: 7bf346e869b3c22a4c359b46e986fbe25a8b7594
SHA256: d1cacaf711ce84dd056bd72b6b2f68822a0c63f969111a4f3c287c367bd46ffc
SHA512: 5370318cd3d68370f4a52240f7d5ff114aea97f199d4bf3a79902434328199ea1474eea253b8b48668ea73ba965ea9133933fde477cc3a2cff41df2e1d23d940
Homepage: https://cran.r-project.org/package=concurve
Description: CRAN Package 'concurve' (Computes & Plots Compatibility (Confidence), Surprisal, &Likelihood Distributions)
 Computes compatibility (confidence) distributions along with their
 corresponding P-values, S-values, and likelihoods. The intervals can be
 plotted to form the distributions themselves.  Functions can be compared to
 one another to see how much they overlap. Results can be exported to
 Microsoft Word, Powerpoint, and TeX documents. The package currently
 supports resampling methods, computing differences, generalized linear
 models, mixed-effects models, survival analysis, and meta-analysis. These
 methods are discussed by Schweder T, Hjort NL. (2016, ISBN:9781316445051)
 and Rafi Z, Greenland S. (2020) <doi:10.1186/s12874-020-01105-9>.

Package: r-cran-cond
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-statmod, r-cran-survival
Suggests: r-cran-boot, r-cran-csampling, r-cran-marg, r-cran-nlreg
Filename: pool/dists/focal/main/r-cran-cond_1.2-4-1.ca2004.1_all.deb
Size: 314080
MD5sum: d6f732349227b7ed36979b0750345096
SHA1: 8d78922eaf4c08e1dce2c795e11a5bb820baf2c7
SHA256: fc1ebe56e814ab5c7652aa5b3e9f8edbc4d89ef4be0d2886cc021c0e98ecc8aa
SHA512: f2487ae7ad1914ce50129ca14c76d7e84b559f7cf73e074e72a49ede0192637860ed652e0d97fe8576ef16e15080594750ce8487da3ba5e4c8fc749862cd4f21
Homepage: https://cran.r-project.org/package=cond
Description: CRAN Package 'cond' (Approximate Conditional Inference for Logistic and LoglinearModels)
 Implements higher order likelihood-based inference for logistic and
 loglinear models.

Package: r-cran-condathis
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-jsonlite, r-cran-processx, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-withr
Suggests: r-cran-curl, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condathis_0.1.2-1.ca2004.1_all.deb
Size: 326148
MD5sum: 54b8cde879bf7b36f92bea783addab82
SHA1: 57b564d68124a2892ddf3a197b31d567e547f202
SHA256: e6142dace704972c62e841a9f488880ba82606e22361f408691be0fc0f77f1ae
SHA512: 6c741cad0eaa73b268933083e39c0585c4a5bc7369282daf67eb30e88ddc006f625147a09102737f50690451c59b64e8f9f4149017b61c84ec429cd1b60e7304
Homepage: https://cran.r-project.org/package=condathis
Description: CRAN Package 'condathis' (Run Any CLI Tool on a 'Conda' Environment)
 Simplifies the execution of command line interface (CLI) tools within
 isolated and reproducible environments. It enables users to effortlessly
 manage 'Conda' environments, execute command line tools, handle
 dependencies, and ensure reproducibility in their data analysis workflows.

Package: r-cran-condcopulas
Architecture: all
Version: 0.1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vinecopula, r-cran-pbapply, r-cran-glmnet, r-cran-ordinalnet, r-cran-tree, r-cran-nnet, r-cran-data.tree, r-cran-statmod, r-cran-wdm
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-diagrammer, r-cran-ggplot2, r-cran-mvtnorm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condcopulas_0.1.4.1-1.ca2004.1_all.deb
Size: 490192
MD5sum: a21122c047c776f2dd21e5a7d2dfad52
SHA1: b1a6704b5bda673a6d1666c4c6183c2e660f2b12
SHA256: ad78a800e76e7407eb0572ae253ad1ccad7906488dfc202e7144bef0367dc831
SHA512: 236049b21e802e1ac4c7727769b54f9d3481a455b87b42fbda82c73db95a42d5e82dba34fd9ade11a0af2a7f48b330833eee7bc64cc14f7d5fe41cff96db13fe
Homepage: https://cran.r-project.org/package=CondCopulas
Description: CRAN Package 'CondCopulas' (Estimation and Inference for Conditional Copula Models)
 Provides functions for the estimation of conditional copulas models, various
 estimators of conditional Kendall's tau (proposed in Derumigny and Fermanian
 (2019a, 2019b, 2020) <doi:10.1515/demo-2019-0016>,
 <doi:10.1016/j.csda.2019.01.013>, <doi:10.1016/j.jmva.2020.104610>), and
 test procedures for the simplifying assumption (proposed in Derumigny and
 Fermanian (2017) <doi:10.1515/demo-2017-0011> and Derumigny, Fermanian and
 Min (2022) <doi:10.1002/cjs.11742>).

Package: r-cran-condensr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-fs, r-cran-glue, r-cran-whisker
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condensr_1.0.0-1.ca2004.1_all.deb
Size: 38736
MD5sum: 6df172babe309eeda0ac78d7ae39ef0b
SHA1: 0e5f624db385836f66842a0bd308c351efa59750
SHA256: 7e73a88889c2e44bb581088dd99ecebd690c1ba9d2e691d301435bbf93a0cf9c
SHA512: 28b59c1c35b9289bb42691a88c395ffc09a59d8fe155f7819d0d8e0aef4fde4aafbd74d576909bfc582f5abd2df98831fdddb53ec9ee95d8c165ad23c44722cc
Homepage: https://cran.r-project.org/package=condensr
Description: CRAN Package 'condensr' (Academic Group Website Generator)
 Helps automate 'Quarto' website creation for small academic groups.  Builds
 a database-like structure of people, projects and publications, linking them
 together with a string-based ID system. Then, provides functions to automate
 production of clean markdown for these structures, and in-built CSS
 formatting using CSS flexbox.

Package: r-cran-condformat
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-gridextra, r-cran-gtable, r-cran-htmltable, r-cran-htmltools, r-cran-knitr, r-cran-magrittr, r-cran-openxlsx, r-cran-rmarkdown, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-promises, r-cran-shiny, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-condformat_0.10.1-1.ca2004.1_all.deb
Size: 216756
MD5sum: ac0d9e3ff61e5888cfea32e77e420daf
SHA1: e1ff44d2247068aa8825a7c9b646954136b34b03
SHA256: bb3fdd943b299a1c4f28bb63466200b5d48765e2caeea33a788cc20661695aa1
SHA512: 478d5a60612456a44550eb39c5c4d9fcca3a4a705803cf7ae985dea409d412aca3a2ebdee1798ae9c876ca37b4244e329da9177ed456bbdf5e76dbe2cb3e51ed
Homepage: https://cran.r-project.org/package=condformat
Description: CRAN Package 'condformat' (Conditional Formatting in Data Frames)
 Apply and visualize conditional formatting to data frames in R.  It renders
 a data frame with cells formatted according to criteria defined by rules,
 using a tidy evaluation syntax. The table is printed either opening a web
 browser or within the 'RStudio' viewer if available. The conditional
 formatting rules allow to highlight cells matching a condition or add a
 gradient background to a given column. This package supports both 'HTML' and
 'LaTeX' outputs in 'knitr' reports, and exporting to an 'xlsx' file.

Package: r-cran-condgee
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-numderiv, r-cran-rootsolve
Suggests: r-cran-testthat, r-cran-withr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-condgee_0.2.0-1.ca2004.1_all.deb
Size: 40916
MD5sum: f05e9fa1e27b8f273094ee1f3a6d7209
SHA1: e5624ae0650a920d1609268f98bcb49fb36bc2c7
SHA256: 95423477cd7478fa1eb6bb8b42a71f3e33023d875759fc1d7272bc8cee35144e
SHA512: e43036e3a5d0426477246b10e8a988303dcdcdf4b77f783c8b4257e55e6581db35eeb7d4b2d8eae18f476e972832da1de3e1046faf16c1766a0c27b8037ed5eb
Homepage: https://cran.r-project.org/package=condGEE
Description: CRAN Package 'condGEE' (Parameter Estimation in Conditional GEE for Recurrent Event GapTimes)
 Solves for the mean parameters, the variance parameter, and their asymptotic
 variance in a conditional GEE for recurrent event gap times, as described by
 Clement and Strawderman (2009) in the journal Biostatistics. Makes a
 parametric assumption for the length of the censored gap time.

Package: r-cran-condindtests
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-quantregforest, r-cran-lawstat, r-cran-rptests, r-cran-catools, r-cran-mgcv, r-cran-mass, r-cran-kernlab, r-cran-pracma, r-cran-mize
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condindtests_0.1.5-1.ca2004.1_all.deb
Size: 124520
MD5sum: 50e22d3238f3e682adf2231bab5589e7
SHA1: b1c383a0301cdd58a404b261763f984602e8f16e
SHA256: a4b16d59854da1eb23e58b6285f213302014846dbd3f427d8695c0219b222469
SHA512: 7614bdbc66851fb8ce9280f5ce5d5d4ca68501a33b6fd54c6dd20a6c251899a670f55898beabef41dc274bbfe4d392170d3f0c53a2547b55f2d480cc5bb28713
Homepage: https://cran.r-project.org/package=CondIndTests
Description: CRAN Package 'CondIndTests' (Nonlinear Conditional Independence Tests)
 Code for a variety of nonlinear conditional independence tests: Kernel
 conditional independence test (Zhang et al., UAI 2011, <arXiv:1202.3775>),
 Residual Prediction test (based on Shah and Buehlmann, <arXiv:1511.03334>),
 Invariant environment prediction, Invariant target prediction, Invariant
 residual distribution test, Invariant conditional quantile prediction (all
 from Heinze-Deml et al., <arXiv:1706.08576>).

Package: r-cran-condir
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 812
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bayesfactor, r-cran-knitr, r-cran-xtable, r-cran-psych, r-cran-effsize, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condir_0.1.4-1.ca2004.1_all.deb
Size: 583400
MD5sum: 3a5142f956dfa5b446496d7de4b82dda
SHA1: 548e67f89cb9a193e12b2577f6be4f87f9a8c4e7
SHA256: 23511a0055d2dc04e475233b9f31b74c2bc8a38b25e7b5e2629f966c5f8f97c7
SHA512: a6befd49d53f010144ec2d71473fc44e69fbc47dd9d4fdee7bc7aaa2fbc5069c22c887d4fcef8bd22a3ff56d71542a10556147e991caa3da0bb0b425ba1ec766
Homepage: https://cran.r-project.org/package=condir
Description: CRAN Package 'condir' (Computation of P Values and Bayes Factors for Conditioning Data)
 Set of functions for the easy analyses of conditioning data.

Package: r-cran-condis
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-survival, r-cran-kernlab, r-cran-purrr, r-cran-tidyverse, r-cran-survminer
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-condis_0.1.2-1.ca2004.1_all.deb
Size: 34184
MD5sum: e02ec6485a8d3cdaa24aed484af68003
SHA1: 1b2bb23a3eb5f2b125f82010e2ad58ae40de3283
SHA256: c55522e101312e29a5633b6b4ff8ed6a4d1eb052564f96b3680c0b023d75f7cd
SHA512: b147ac97852f6778c067e70cfdef52b7efcaf1493aef0430e2a4ae1944f8619a2a75f46198c92a915aebbbe6cd0f2ab73ef5ba19363b6cbc555c965efee3ccc6
Homepage: https://cran.r-project.org/package=CondiS
Description: CRAN Package 'CondiS' (Censored Data Imputation for Direct Modeling)
 Impute the survival times for censored observations based on their
 conditional survival distributions derived from the Kaplan-Meier estimator.
 'CondiS' can replace the censored observations with the best approximations
 from the statistical model, allowing for direct application of machine
 learning-based methods. When covariates are available, 'CondiS' is extended
 by incorporating the covariate information through machine learning-based
 regression modeling ('CondiS_X'), which can further improve the imputed
 survival time.

Package: r-cran-conditionalprobnspades
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1041
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conditionalprobnspades_1.0-1.ca2004.1_all.deb
Size: 516080
MD5sum: f24987987bbab1faf3e2cac806099704
SHA1: e955acf19d747754391d24dba7a1b434bd5c83fa
SHA256: aeb5c23ea0c4df24e4179697a23cdddc5c3135d43bf81854ea2427cf4ace4061
SHA512: 3f9401f620548b4cb2aaeddcbc88926a92b0d63f22390e00a3dc6325f585c34cde0032d8d80b55c4ab8db5ef828c2aae2de2a87ba946e30fca7b031ff71395d8
Homepage: https://cran.r-project.org/package=conditionalProbNspades
Description: CRAN Package 'conditionalProbNspades' (Conditional Probabilities of Distributions Across Hearts Hands)
 Provides some tabulated data to be be referred to in a discussion in a
 vignette accompanying my upcoming R package 'playWholeHandDriverPassParams'.
 In addition to that specific purpose, these may also provide data and
 illustrate some computational approaches that are relevant to card games
 like hearts or bridge.This package refers to authentic data from Gregory
 Stoll <https://gregstoll.com/~gregstoll/bridge/math.html>, and details of
 performing the probability calculations from Jeremy L. Martin
 <https://jlmartin.ku.edu/~jlmartin/bridge/basics.pdf>.

Package: r-cran-conditionz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-uuid
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conditionz_0.1.0-1.ca2004.1_all.deb
Size: 55528
MD5sum: c9b2cb15ce10e613395c962e74ec432e
SHA1: 9780840854428870a219443466263fde21c8f2f3
SHA256: 0fda662949ed5646375cf87dd664602ad324d26d42895dcc90b4a8cf99b0c111
SHA512: da718ceb0f948fbdeca7805f2cdc6ea6c5d3eac915ebfb985ab531b207f424f29a5111a95baef1c6da520b0d90f90ad7a0579739ca53d617768d59922c560e3e
Homepage: https://cran.r-project.org/package=conditionz
Description: CRAN Package 'conditionz' (Control How Many Times Conditions are Thrown)
 Provides ability to control how many times in function calls conditions are
 thrown (shown to the user). Includes control of warnings and messages.

Package: r-cran-condmvnorm
Architecture: all
Version: 2025.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-condmvnorm_2025.1-1.ca2004.1_all.deb
Size: 23772
MD5sum: 1b011957a87d3d1eb1c031c5d9d630e5
SHA1: 72458dff88c9ff820802b032e9d73266cf602473
SHA256: 2d602a43a24f62d62eba55f1a104546af5534d4250dec71b7e9902b796ed5a3c
SHA512: 38ddb5f52b8a7f02f3540c5d877cf2ae9029523046f2f8cae215374460264ff0a422cd58d591679fa4d6628067df38dece1ac55748462a2a621e5255bb50f44a
Homepage: https://cran.r-project.org/package=condMVNorm
Description: CRAN Package 'condMVNorm' (Conditional Multivariate Normal Distribution)
 Computes conditional multivariate normal densities, probabilities, and
 random deviates.

Package: r-cran-condmvt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-condmvt_0.1.0-1.ca2004.1_all.deb
Size: 85424
MD5sum: b318060a37b90b7df506a62b8546553e
SHA1: 632ca6882fdc240bfe6d441b779b296b4b517b8b
SHA256: 1ee02194729ae04499df0d851998840f9fdb98ebb88a998737d3a196b850a8c7
SHA512: 8a70fb869dfd564d6f95f1493ff161d61d4b20bd0fc60f93737d2e69f46770e75c2d46a266930978619273f2bf70d17cfc29ca876201b23b7adefa8eac8b0ea3
Homepage: https://cran.r-project.org/package=CondMVT
Description: CRAN Package 'CondMVT' (Conditional Multivariate t Distribution, ExpectationMaximization Algorithm, and Its Stochastic Variants)
 Computes conditional multivariate t probabilities, random deviates, and
 densities. It can also be used to create missing values at random in a
 dataset, resulting in a missing at random (MAR) mechanism. Inbuilt in the
 package are the Expectation-Maximization (EM), Monte Carlo EM, and
 Stochastic EM algorithms for imputation of missing values in datasets
 assuming the multivariate t distribution. See Kinyanjui, Tamba, Orawo, and
 Okenye (2020)<doi:10.3233/mas-200493>, and Kinyanjui, Tamba, and
 Okenye(2021)<http://www.ceser.in/ceserp/index.php/ijamas/article/view/6726/0>
 for more details.

Package: r-cran-condor
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ssh
Filename: pool/dists/focal/main/r-cran-condor_3.0.0-1.ca2004.1_all.deb
Size: 65244
MD5sum: 33437ba5f5cd3c5c880a9831b49c019e
SHA1: 29846c00258560214a4971d185bd77eb24f7d5cf
SHA256: 4b9e6116330fdbbd3e6eda5ade2daef889e5f20937ae1ca975068312ac2efa0b
SHA512: af182609eb6c20fab3026ac63f4bc211bfeee73f3321ff3a8b0180b93abfc0561f43089ea27ea6c2eb510207003ba3499ad89f4c36df4ad60f07913caf561796
Homepage: https://cran.r-project.org/package=condor
Description: CRAN Package 'condor' (Interact with 'Condor' from R via SSH)
 Interact with 'Condor' from R via SSH connection. Files are first uploaded
 from user machine to submitter machine, and the job is then submitted from
 the submitter machine to 'Condor'. Functions are provided to submit, list,
 and download 'Condor' jobs from R. 'Condor' is an open source
 high-throughput computing software framework for distributed parallelization
 of computationally intensive tasks.

Package: r-cran-condoroptions
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-condoroptions_1.0.1-1.ca2004.1_all.deb
Size: 47700
MD5sum: ef9aeae082ab304ac182124ef73d7e06
SHA1: 5a6aa889f774c2bfcbdf8045c6d882ab11ab8ba5
SHA256: 949b4cf646e9872bdd6e62a3d1f538a24ab8fc64f412a64fdcc92992c2136fa4
SHA512: 7df65c60240afd6fcbd49a24fa78efe9302cebdb4015c3d61f34aaf77c6f4f42739d0479239e3f6dae12d825dfd8ba7da09230e2353790ea3b396608e50a2d9c
Homepage: https://cran.r-project.org/package=condorOptions
Description: CRAN Package 'condorOptions' (Trading Condor Options Strategies)
 Trading of Condor Options Strategies is represented here through their
 Graphs. The graphic indicators, strategies, calculations, functions and all
 the discussions are for academic, research, and educational purposes only
 and should not be construed as investment advice and come with absolutely no
 Liability.  Guy Cohen (“The Bible of Options Strategies (2nd ed.)”, 2015,
 ISBN: 9780133964028).  Zura Kakushadze, Juan A. Serur (“151 Trading
 Strategies”, 2018, ISBN: 9783030027919).  John C. Hull (“Options, Futures,
 and Other Derivatives (11th ed.)”, 2022, ISBN: 9780136939979).

Package: r-cran-condreg
Architecture: all
Version: 0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-condreg_0.20-1.ca2004.1_all.deb
Size: 244768
MD5sum: 710985ca59fd0557f9e6fbfd638df8ca
SHA1: 894263ddfb961ee7083e11a34fd257160b34a062
SHA256: 89e8d783ffa03bbd50af1c45b67c04b51f530ced13b24c49fb2f1b65cce17977
SHA512: 37bdfee9f790acaf2eb14c98b0f0eeddec96533267fc9271f16b8e340e23b9c14693f0e9e90ec91aa5562e0d96ef0459167b5373efd88843be0c30f2f9e67899
Homepage: https://cran.r-project.org/package=CondReg
Description: CRAN Package 'CondReg' (Condition Number Regularized Covariance Estimation)
 Based on
 \url{http://statistics.stanford.edu/~ckirby/techreports/GEN/2012/2012-10.pdf}

Package: r-cran-condtruncmvn
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-condmvnorm, r-cran-matrixnormal, r-cran-tmvmixnorm, r-cran-tmvtnorm, r-cran-truncnorm
Suggests: r-cran-formatr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sessioninfo, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condtruncmvn_0.0.2-1.ca2004.1_all.deb
Size: 43480
MD5sum: cfdd9ff926aa0274f31ee9cba2fb37cd
SHA1: d4d5edfb65ac209e13427064af8653e004f6d6c1
SHA256: a2298a8ad04533796f5a71bbed54ddec2462e363ca82a13659ab139b95670307
SHA512: 04d1e9d334d7283a1d3e42854aa29f08d4866cfeb6c3c07a37e205aa8b5523c650541b06f2e334d5969367bddc52f5ea4f1dd12c9facb15f473c19fa8de2d97d
Homepage: https://cran.r-project.org/package=condTruncMVN
Description: CRAN Package 'condTruncMVN' (Conditional Truncated Multivariate Normal Distribution)
 Computes the density and probability for the conditional truncated
 multivariate normal (Horrace (2005) p. 4, <doi:10.1016/j.jmva.2004.10.007>).
 Also draws random samples from this distribution.

Package: r-cran-conductor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-r6, r-cran-shiny
Suggests: r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conductor_0.1.1-1.ca2004.1_all.deb
Size: 96092
MD5sum: ae3ed9d794322f83b9e3373c82c2db03
SHA1: 7cbfbc7ff220db0214a5c721ab49150628a8bdeb
SHA256: 907e7abda541b7702e985e70d6bf7219715ea7f9921101a95e05c719c09cda4c
SHA512: 334615078bea6baf215836956a05380ab3f30825489722f809c084bd45294e69e8a746bb9a066a14f1c73655bc7092dce2780ef124ae8ccb33c879bc66531010
Homepage: https://cran.r-project.org/package=conductor
Description: CRAN Package 'conductor' (Create Tours in 'Shiny' Apps Using 'Shepherd.js')
 Enable the use of 'Shepherd.js' to create tours in 'Shiny' applications.

Package: r-cran-condusco
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-assertthat, r-cran-bigrquery, r-cran-dbi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-whisker, r-cran-testthat, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-condusco_0.1.0-1.ca2004.1_all.deb
Size: 24168
MD5sum: e6d260b06a837836bdda93ff0480b54b
SHA1: fd7e51b5e3e8ac5dee9f0ee866610b2a3210ba61
SHA256: a89482b5c222d9dd84f8c4deb335a6df0b857aaeee99d7f01cefcfc781895a5c
SHA512: 92d925e632ff635c254fd11cb9a12bcd1dd142c5f086c66ee906dfd6903f9fc64b5544758cf3115ae25f20df15552bc59556e3709a374a376ba1f3b007c29f2d
Homepage: https://cran.r-project.org/package=condusco
Description: CRAN Package 'condusco' (Query-Driven Pipeline Execution and Query Templates)
 Runs a function iteratively over each row of either a dataframe or the
 results of a query.  Use the 'BigQuery' and 'DBI' wrappers to iteratively
 pass each row of query results to a function.  If a field contains a 'JSON'
 string, it will be converted to an object.  This is helpful for queries that
 return 'JSON' strings that represent objects.  These fields can then be
 treated as objects by the pipeline.

Package: r-cran-condvis2
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2967
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-scales, r-cran-cluster, r-cran-dendser, r-cran-plyr, r-cran-colorspace, r-cran-gower
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-hdrcde, r-cran-scagnostics, r-cran-keras, r-cran-kernlab, r-cran-mclust, r-cran-mass, r-cran-ks, r-cran-mgcv, r-cran-randomforest, r-cran-parsnip, r-cran-mlr, r-cran-c50, r-cran-bartmachine, r-cran-bart, r-cran-caret, r-cran-e1071, r-cran-gbm, r-cran-glmnet, r-cran-glmnetutils, r-cran-mlr3, r-cran-nnet, r-cran-rpart, r-cran-tree, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condvis2_0.1.2-1.ca2004.1_all.deb
Size: 2150920
MD5sum: a501e22186132ee53d666e497b796d0d
SHA1: c9384307faa4fbf07555296071883ff7d0d6df25
SHA256: 0faa4413b134b56f9e6b4faf9bc4788d2654e1615e31aa52a49bb1624c69b508
SHA512: d2939dca3ef97229350800ebc1d33dd594a94e3315c37317c39c660773dd559fff71cd33db8ce9fd7a1fcd0eaa5f782b88d258637c63560a4b4d35dd3b115ffd
Homepage: https://cran.r-project.org/package=condvis2
Description: CRAN Package 'condvis2' (Interactive Conditional Visualization for Supervised andUnsupervised Models in Shiny)
 Constructs a shiny app function with interactive displays for conditional
 visualization of models, data and density functions. An extended version of
 package 'condvis'.  Catherine B. Hurley, Mark O'Connell,Katarina Domijan
 (2021) <doi:10.1080/10618600.2021.1983439>.

Package: r-cran-condvis
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-rcolorbrewer, r-cran-shiny, r-cran-scagnostics, r-cran-cluster, r-cran-hdrcde, r-cran-gplots, r-cran-tsp, r-cran-dendser, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-condvis_0.5-1-1.ca2004.1_all.deb
Size: 372688
MD5sum: cb77ccd38a79e386f03cced1c82d5f14
SHA1: 222053fdcb5b45a66b51dda89e91ed9c23df4343
SHA256: 99954cc6949c66b5c5d1376b50381c5ce59a1bdfcb90e28753dc028f73e7090c
SHA512: 1296d687c70ab1126ee0bfab1ac73d1114196da3ea4aee0e3c9e1f0b204d65f3b703aba071651efd812df923c05484e55aa87f33ca1ef23712b78bebe9f0b11c
Homepage: https://cran.r-project.org/package=condvis
Description: CRAN Package 'condvis' (Conditional Visualization for Statistical Models)
 Exploring fitted models by interactively taking 2-D and 3-D sections in data
 space.

Package: r-cran-conf.design
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-conf.design_2.0.0-1.ca2004.1_all.deb
Size: 44528
MD5sum: 58e669cd3cfa96dbc0201c7e868ac726
SHA1: d612a5df711897af87fc200260cfd12d6ecf5040
SHA256: 78a1e6249f0615ae5a2c05d71f3ca8176362bcee639fc5eb04c02d641600e5fb
SHA512: 6ea4e11e8b114ec67faf3a13fb4063e032323d7a9e5d9d397484bd2769991f466cd854c252b7088f72fdb684eda152b2befa2991c2c3f50f23aa4d58e463584a
Homepage: https://cran.r-project.org/package=conf.design
Description: CRAN Package 'conf.design' (Construction of factorial designs)
 This small library contains a series of simple tools for constructing and
 manipulating confounded and fractional factorial designs.

Package: r-cran-conf
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statmod, r-cran-fitdistrplus, r-cran-pracma, r-cran-rootsolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-conf_1.9.1-1.ca2004.1_all.deb
Size: 2101120
MD5sum: a66d5a3fc014512e57c3041716bf7fee
SHA1: 7af58efacc7ec29c2c8a15155300bbb3a17158e4
SHA256: bcff4b514680239ced0e4633e26179db611c16f86b3a55947cde07fdc70f6388
SHA512: ee5c6f9f093bfc3d836bddb74e13bbb1e31402f5c6d23359834a66bc2e8faf6641ebc59ffa7f23c80e555aee493f9731a2048ff6d318e8a2472b3587155b5065
Homepage: https://cran.r-project.org/package=conf
Description: CRAN Package 'conf' (Visualization and Analysis of Statistical Measures of Confidence)
 Enables: (1) plotting two-dimensional confidence regions, (2) coverage
 analysis of confidence region simulations, (3) calculating confidence
 intervals and the associated actual coverage for binomial proportions, (4)
 calculating the support values and the probability mass function of the
 Kaplan-Meier product-limit estimator, and (5) plotting the actual coverage
 function associated with a confidence interval for the survivor function
 from a randomly right-censored data set. Each is given in greater detail
 next.  (1) Plots the two-dimensional confidence region for probability
 distribution parameters (supported distribution suffixes: cauchy, gamma,
 invgauss, logis, llogis, lnorm, norm, unif, weibull) corresponding to a
 user-given complete or right-censored dataset and level of significance.
 The crplot() algorithm plots more points in areas of greater curvature to
 ensure a smooth appearance throughout the confidence region boundary.  An
 alternative heuristic plots a specified number of points at roughly uniform
 intervals along its boundary.  Both heuristics build upon the radial profile
 log-likelihood ratio technique for plotting confidence regions given by
 Jaeger (2016) <doi:10.1080/00031305.2016.1182946>, and are detailed in a
 publication by Weld et al. (2019) <doi:10.1080/00031305.2018.1564696>.  (2)
 Performs confidence region coverage simulations for a random sample drawn
 from a user- specified parametric population distribution, or for a
 user-specified dataset and point of interest with coversim(). (3) Calculates
 confidence interval bounds for a binomial proportion with binomTest(),
 calculates the actual coverage with binomTestCoverage(), and plots the
 actual coverage with binomTestCoveragePlot(). Calculates confidence interval
 bounds for the binomial proportion using an ensemble of constituent
 confidence intervals with binomTestEnsemble(). Calculates confidence
 interval bounds for the binomial proportion using a complete enumeration of
 all possible transitions from one actual coverage acceptance curve to
 another which minimizes the root mean square error for n <= 15 and follows
 the transitions for well-known confidence intervals for n > 15 using
 binomTestMSE(). (4) The km.support() function calculates the support values
 of the Kaplan-Meier product-limit estimator for a given sample size n using
 an induction algorithm described in Qin et al. (2023)
 <doi:10.1080/00031305.2022.2070279>. The km.outcomes() function generates a
 matrix containing all possible outcomes (all possible sequences of failure
 times and right-censoring times) of the value of the Kaplan-Meier
 product-limit estimator for a particular sample size n. The km.pmf()
 function generates the probability mass function for the support values of
 the Kaplan-Meier product-limit estimator for a particular sample size n,
 probability of observing a failure h at the time of interest expressed as
 the cumulative probability percentile associated with X = min(T, C), where T
 is the failure time and C is the censoring time under a random-censoring
 scheme. The km.surv() function generates multiple probability mass functions
 of the Kaplan-Meier product-limit estimator for the same arguments as those
 given for km.pmf(). (5) The km.coverage() function plots the actual coverage
 function associated with a confidence interval for the survivor function
 from a randomly right-censored data set for one or more of the following
 confidence intervals: Greenwood, log-minus-log, Peto, arcsine, and
 exponential Greenwood.  The actual coverage function is plotted for a small
 number of items on test, stated coverage, failure rate, and censoring rate.
 The km.coverage() function can print an optional table containing all
 possible failure/censoring orderings, along with their contribution to the
 actual coverage function.

Package: r-cran-confcons
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-vctrs, r-cran-withr, r-cran-rocr, r-cran-covr, r-cran-terra, r-cran-sf, r-cran-blockcv, r-cran-ggplot2, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-confcons_0.3.1-1.ca2004.1_all.deb
Size: 245900
MD5sum: 7aaf11b555feb64c66b16ed101522f07
SHA1: 97e710659511dcc1851bb5cb51de48d2c4492419
SHA256: bce6f63f01d22674d77e09fedbd7bc05498d66f3d242e48ae00afbd84ff83e41
SHA512: 0ebe3ba3bc6c5dbcba3dabafbf95f27b9cc82f1c970b6e721c209411589b86c0ade1687c709d9ea12ab33d5744de158aefd6d7343b90f9905d8279564b076741
Homepage: https://cran.r-project.org/package=confcons
Description: CRAN Package 'confcons' (Confidence and Consistency of Predictive Distribution Models)
 Calculate confidence and consistency that measure the goodness-of-fit and
 transferability of predictive/potential distribution models (including
 species distribution models) as described by Somodi & Bede-Fazekas et al.
 (2024) <doi:10.1016/j.ecolmodel.2024.110667>.

Package: r-cran-confidence
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-markdown, r-cran-plyr, r-cran-xtable, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confidence_1.1-2-1.ca2004.1_all.deb
Size: 271972
MD5sum: 64a4661cd02d157cf514ad65380e2399
SHA1: 7ad689bf9a92d30b557b35e4ff4cb6a6f441d6c3
SHA256: da65dacae71dc89d58ab1249170e38c415379829e799f58f2b37a0baf36085a9
SHA512: d45136ab85790295a51694fc69dfb8812bb59923fbf3fa543967ec37abfba9ab8cff95592b21f716ef4962f9d962b8cfcd3f8b5ca13514a406ad5b7058704c1a
Homepage: https://cran.r-project.org/package=confidence
Description: CRAN Package 'confidence' (Confidence Estimation of Environmental State Classifications)
 Functions for estimating and reporting multi-year averages and corresponding
 confidence intervals and distributions. A potential use case is reporting
 the chemical and ecological status of surface waters according to the
 European Water Framework Directive.

Package: r-cran-confidenceellipse
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3309
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cellwise, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-pcapp, r-cran-purrr, r-cran-rgl, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confidenceellipse_1.1.0-1.ca2004.1_all.deb
Size: 2011984
MD5sum: d26f7a8a00be792077de83a610165c59
SHA1: 5fc1089ba8f6f2aa4773981e38304c8002389a3a
SHA256: 4204aeabe3205e11388b793672ded1529882910be3d3a24bc2ff4e62534d77c1
SHA512: 6b75e712d5b92e916c4b2b22adde7d9e146684ba781c636c59e02443075ef463a0ebbfac0f9ae743abaebefd74e9dd73c691a7d598216c5eb45474347cca92a1
Homepage: https://cran.r-project.org/package=ConfidenceEllipse
Description: CRAN Package 'ConfidenceEllipse' (Computation of 2D and 3D Elliptical Joint Confidence Regions)
 Computing elliptical joint confidence regions at a specified confidence
 level. It provides the flexibility to estimate either classical or robust
 confidence regions, which can be visualized in 2D or 3D plots. The classical
 approach assumes normality and uses the mean and covariance matrix to define
 the confidence regions. Alternatively, the robustified version employs
 estimators like minimum covariance determinant (MCD) and M-estimator, making
 them less sensitive to outliers and departures from normality. Furthermore,
 the functions allow users to group the dataset based on categorical
 variables and estimate separate confidence regions for each group. This
 capability is particularly useful for exploring potential differences or
 similarities across subgroups within a dataset. Varmuza and Filzmoser (2009,
 ISBN:978-1-4200-5947-2). Johnson and Wichern (2007, ISBN:0-13-187715-1).
 Raymaekers and Rousseeuw (2019) <DOI:10.1080/00401706.2019.1677270>.

Package: r-cran-config
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling, r-cran-withr
Filename: pool/dists/focal/main/r-cran-config_0.3.2-1.ca2004.1_all.deb
Size: 94036
MD5sum: fe250da38248d0205f6bd2a7ac61880c
SHA1: 49245ee2078c27d8478def0bb07e33f658678ee4
SHA256: 29486d58a17fa2739e2e171013f06549209badcf757927e437e73a36d89030ee
SHA512: d975643c0624ed45ffa763df0b713af5df33c8d2c01a9ad7eaa8b437f8ff91eb05fae9daf4980ead6baafff699c21708e44d2962ba28d3c82bd27f6cb023345c
Homepage: https://cran.r-project.org/package=config
Description: CRAN Package 'config' (Manage Environment Specific Configuration Values)
 Manage configuration values across multiple environments (e.g.  development,
 test, production). Read values using a function that determines the current
 environment and returns the appropriate value.

Package: r-cran-configparser
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ini, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-configparser_1.0.0-1.ca2004.1_all.deb
Size: 55972
MD5sum: c41608ca155de4cda73c7938788e6797
SHA1: 7f6596101b8ead07158bd3753391614d9cab7eb2
SHA256: 7f0584904319752587368989dbb34b8f1ead2932439da1eac6a81e0bddbf6b9e
SHA512: c32c8a42878008923252f26eea4d090224b9463561e86862ac3a38cdda11c5d1060c0cc5bd95d398f1ad44748414400e1eae5b86cc0b27893e2be58119291c60
Homepage: https://cran.r-project.org/package=ConfigParser
Description: CRAN Package 'ConfigParser' (Package to Parse an INI File, Including Variable Interpolation)
 Enhances the 'ini' package by adding the ability to interpolate variables.
 The INI configuration file is read into an R6 ConfigParser object (loosely
 inspired by Pythons ConfigParser module) and the keys can be read, where
 '%(....)s' instances are interpolated by other included options or outside
 variables.

Package: r-cran-configr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-ini, r-cran-yaml, r-cran-rcpptoml, r-cran-stringr, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-configr_0.3.5-1.ca2004.1_all.deb
Size: 109648
MD5sum: 563fe007261cdfb4bf368055adf1bf7c
SHA1: 71e0d8e296029650191736942a11ccd60073bc2f
SHA256: 03efcc7e6fd905168cdb6613eac161240290f6a2ff6f8a249b6c64c9ef5c5649
SHA512: e9d1fd901ce8a7490e8308d4a3e7aa4cc3761c870b005452e966bd4917885cd56d7838ae620f708a7e7bc1e7e3461fa242769411f0c6cd74b50d7ab18ce64425
Homepage: https://cran.r-project.org/package=configr
Description: CRAN Package 'configr' (An Implementation of Parsing and Writing Configuration File(JSON/INI/YAML/TOML))
 Implements the JSON, INI, YAML and TOML parser for R setting and writing of
 configuration file. The functionality of this package is similar to that of
 package 'config'.

Package: r-cran-configular
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-here, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-covr, r-cran-docopt, r-cran-git2r, r-cran-lintr, r-cran-precommit, r-cran-roxygen2, r-cran-styler, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-configular_0.1.1-1.ca2004.1_all.deb
Size: 36636
MD5sum: 0dc78c4db4c6ba79053c6c3bb705e75d
SHA1: 7d7b906317063b3c8eb705a0f2ff12732f10c924
SHA256: 457243f785398172faaae6d3294d8e7be827c902ad9fdad8d1b820c2d4a982bc
SHA512: 0554d9efb171153e2ad6cc7a363024e1d0cf7e833e8e0f81d432123771fad3025340ef08b52988315d94433105ac4ed563f0af14c27ae7994942cc3568950e96
Homepage: https://cran.r-project.org/package=configulaR
Description: CRAN Package 'configulaR' (Manage Application Settings via '.env' or '.ini' Files)
 Provides a simple way to manage application settings by loading
 configuration values from '.env' or '.ini' files. It supports default
 values, type casting, and environment variable overrides, enabling a clean
 separation of configuration from code.  Ideal for managing credentials, API
 keys, and deployment-specific settings.

Package: r-cran-configural
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-crayon
Filename: pool/dists/focal/main/r-cran-configural_0.1.5-1.ca2004.1_all.deb
Size: 169060
MD5sum: 3e87e9d908cdc5b82683acec9b0aed76
SHA1: 272d947d05a2a3e3f100031e6e9d4ce49a0da280
SHA256: f7a0e971baf6b475950e3a8fe065b172d677048a16efcd398ae7cecc736a5812
SHA512: d55b3d2654bb585a45803cb0fa8132bf2f875d0b9b84c27a11642545f44c7601520f00ffeb95b8ca3f6eac3a6afef41ebb8eaaafcef2079ab4635f5ccceee4fd
Homepage: https://cran.r-project.org/package=configural
Description: CRAN Package 'configural' (Multivariate Profile Analysis)
 R functions for criterion profile analysis, Davison and Davenport (2002)
 <doi:10.1037/1082-989X.7.4.468> and meta-analytic criterion profile
 analysis, Wiernik, Wilmot, Davison, and Ones (2020)
 <doi:10.1037/met0000305>. Sensitivity analyses to aid in interpreting
 criterion profile analysis results are also included.

Package: r-cran-confinterpret
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confinterpret_1.0.0-1.ca2004.1_all.deb
Size: 117164
MD5sum: 21da3fcbaf9774751c29e2b2c7b11425
SHA1: b3a376b44ac239d97213a84b0d10b53ed45971c8
SHA256: 1f5d2016571d5ea9890c99bb7292252602261d97c39a066639adf45b6ed9eff0
SHA512: 06b8038edf52d832d3e3983b89d5665ac6cc4561d0ca916198e68200935d28889b7ec3aeeef37b1494118adde5805340e74c8283754907d3b1729d12868cf13f
Homepage: https://cran.r-project.org/package=confinterpret
Description: CRAN Package 'confinterpret' (Descriptive Interpretations of Confidence Intervals)
 Produces descriptive interpretations of confidence intervals.  Includes
 (extensible) support for various test types, specified as sets of
 interpretations dependent on where the lower and upper confidence limits
 sit. Provides plotting functions for graphical display of interpretations.

Package: r-cran-confintr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confintr_1.0.2-1.ca2004.1_all.deb
Size: 165032
MD5sum: cd75d6c33f49f09619c4090319ffbf17
SHA1: c770332b5648e0d2294f3346f699cac644dbc2fb
SHA256: f6411bdb9737cf464032b7cb7ef06b5aea61f4c02c38b589d943ae72ee8901a9
SHA512: f882c72c1397060db266db1bae27270e3883500ce88b2ba81fa05764528fca8e69af9eceba9eb7dfc1674f274614f4c6b3c46aa5a6169d39ee7cbf7615c366ba
Homepage: https://cran.r-project.org/package=confintr
Description: CRAN Package 'confintr' (Confidence Intervals)
 Calculates classic and/or bootstrap confidence intervals for many parameters
 such as the population mean, variance, interquartile range (IQR), median
 absolute deviation (MAD), skewness, kurtosis, Cramer's V, odds ratio,
 R-squared, quantiles (incl. median), proportions, different types of
 correlation measures, difference in means, quantiles and medians. Many of
 the classic confidence intervals are described in Smithson, M. (2003, ISBN:
 978-0761924999). Bootstrap confidence intervals are calculated with the R
 package 'boot'. Both one- and two-sided intervals are supported.

Package: r-cran-confintrob
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1349
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-foreach, r-cran-lme4, r-cran-mass, r-cran-mvtnorm, r-cran-tidyr
Suggests: r-cran-robustlmm, r-cran-robustvarcomp, r-cran-lmertest, r-cran-xtable, r-cran-ggplot2, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-confintrob_1.0-2-1.ca2004.1_all.deb
Size: 1296124
MD5sum: 1a767431da27d784713901d4438d47c3
SHA1: 6260c91347fad00c75d2ab9b06ee7b0da524de70
SHA256: 5b940fa1323e102328ddad88b00b10ceb620cfbafe36c8c2e7571a5aa1d4c65f
SHA512: 77ee50b15057ab9b6740fa965eedb777eed36e9d39eb2ca57fcf65d7bbfa035f1ef399edce181f044d2cedfe2fd349a36dd6326e904a08a77ae40513f2c5d2e5
Homepage: https://cran.r-project.org/package=confintROB
Description: CRAN Package 'confintROB' (Confidence Intervals for Robust and Classical Linear Mixed ModelEstimators)
 The main function calculates confidence intervals (CI) for Mixed Models,
 utilizing both classical estimators from the lmer() function in the 'lme4'
 package and robust estimators from the rlmer() function in the 'robustlmm'
 package, as well as the varComprob() function in the 'robustvarComp'
 package. Three methods are available: the classical Wald method, the wild
 bootstrap, and the parametric bootstrap. Bootstrap methods offer flexibility
 in obtaining lower and upper bounds through percentile or BCa methods. More
 details are given in Mason, F., Cantoni, E., & Ghisletta, P. (2021)
 <doi:10.5964/meth.6607> and Mason, F., Cantoni, E., & Ghisletta, P. (2024)
 <doi:10.1037/met0000643>.

Package: r-cran-confintvariance
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-confintvariance_1.0.2-1.ca2004.1_all.deb
Size: 24248
MD5sum: 42704bfcf31aa5cc6947bdbf93b8ec29
SHA1: 87aecea22b83a6f4ce4e63580657161b0670215a
SHA256: 44aace7b56114967bd70167e48fbc318c43ddd8fc51084d46e051aa1681358cf
SHA512: 1ea17c3e5648e4905ce63ba20c0094f30e59c34b976429a0d7d374065f72c713a0a3769c798af0c3de1d961859d28f7a8c769ddbf4cfe8f3a293a1783c899490
Homepage: https://cran.r-project.org/package=ConfIntVariance
Description: CRAN Package 'ConfIntVariance' (Confidence Interval for the Univariate Population Variancewithout Normality Assumption)
 Surrounds the usual sample variance of a univariate numeric sample with a
 confidence interval for the population variance. This has been done so far
 only under the assumption that the underlying distribution is normal. Under
 the hood, this package implements the unique least-variance unbiased
 estimator of the variance of the sample variance, in a formula that is
 equivalent to estimating kurtosis and square of the population variance in
 an unbiased way and combining them according to the classical formula into
 an estimator of the variance of the sample variance. Both the sample
 variance and the estimator of its variance are U-statistics. By the theory
 of U-statistic, the resulting estimator is unique. See Fuchs, Krautenbacher
 (2016) <doi:10.1080/15598608.2016.1158675> and the references therein for an
 overview of unbiased estimation of variances of U-statistics.

Package: r-cran-conflicted
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-memoise, r-cran-rlang
Suggests: r-cran-callr, r-cran-covr, r-cran-dplyr, r-cran-matrix, r-cran-pkgload, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-conflicted_1.2.0-1.ca2004.1_all.deb
Size: 55840
MD5sum: 431608ae49c4c33962b6af54db5a2976
SHA1: 5d58e82baa0b79c1fce8385a19e13c942d9c0eb4
SHA256: 3fa6ff53cf0911e4c1c13e276f4a6ac0c26a44c2f49a8c072ae3c5e356074ac1
SHA512: 3cdd354eb48e8075519d666490ff2e5d4150a9c0bb288fb971fb89c2c0bad6f3993588b800aec6996dcf28c4c6aefce7e81fc85478dbd1f743a4ac5f866feda4
Homepage: https://cran.r-project.org/package=conflicted
Description: CRAN Package 'conflicted' (An Alternative Conflict Resolution Strategy)
 R's default conflict management system gives the most recently loaded
 package precedence. This can make it hard to detect conflicts, particularly
 when they arise because a package update creates ambiguity that did not
 previously exist. 'conflicted' takes a different approach, making every
 conflict an error and forcing you to choose which function to use.

Package: r-cran-conflr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-askpass, r-cran-commonmark, r-cran-curl, r-cran-glue, r-cran-httr, r-cran-knitr, r-cran-miniui, r-cran-purrr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-stringi, r-cran-xml2, r-cran-r6, r-cran-rlang
Suggests: r-cran-mockery, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-conflr_0.1.1-1.ca2004.1_all.deb
Size: 662172
MD5sum: d9a15f444ff8a50fde5d1736465e2037
SHA1: 734b808e6b0bc73998318af8f11b9d52fa57d4d7
SHA256: 704b6cf576619df1a2dd6f67a4f35066d7c68ba821f9cface630c5dc40edae46
SHA512: b8f8e2accc9c5b53378f17752aac214be998bc7ccd7be925530acd806b7c94a64fb16b4091e92c6243ad8015abc7756ce7b80b50a48bd9421b65049ce317319c
Homepage: https://cran.r-project.org/package=conflr
Description: CRAN Package 'conflr' (Client for 'Confluence' API)
 Provides utilities for working with various 'Confluence' API
 <https://docs.atlassian.com/ConfluenceServer/rest/latest/>, including a
 functionality to convert an R Markdown document to 'Confluence' format and
 upload it to 'Confluence' automatically.

Package: r-cran-confmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rdpack, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confmatrix_0.1.0-1.ca2004.1_all.deb
Size: 247476
MD5sum: 3a690ab0f71d428f9578d3f65f076923
SHA1: 2931d483c2d361eeee44ae642e3f62b560b3e969
SHA256: 42109f33f95f3439f215e9d21da37cdbb0ce6f1f01cc30a4b3805574d0de4805
SHA512: 93c445a6403b98629140061d6e00fe8350b341243a9ab3f376a8d9b9c6d2912073c785e8083eb92c5fd3b41cd4ba8b7aaa1933e0fcb21072266c4880602d7253
Homepage: https://cran.r-project.org/package=ConfMatrix
Description: CRAN Package 'ConfMatrix' (Confusion Matrix)
 Thematic quality indices are provided to facilitate the evaluation and
 quality control of geospatial data products (e.g. thematic maps, remote
 sensing classifications, etc.). The indices offered are based on the
 so-called confusion matrix. This matrix is constructed by comparing the
 assigned classes or attributes of a set of pairs of positions or objects in
 the product and the ground truth. In this package it is considered that the
 classes of the ground truth correspond to the columns and that the classes
 of the product to be valued correspond to the rows. The package offers two
 object classes with their methods: 'ConfMatrix' (Confusion matrix) and
 'QCCS' (Quality Control Columns Set). The 'ConfMatrix' class of objects
 offers more than 20 methods based on the confusion matrix. The 'QCCS' class
 of objects offers a different perspective in which the ground truth is
 considered to allow the values of the column marginals to be fixed, see
 Ariza López et al. (2019) <doi:10.3390/app9204240> and Canran Liu et al.
 (2007) <doi:10.1016/j.rse.2006.10.010> for more details. The package was
 created with 'R6'.

Package: r-cran-conformalbayes
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-rstantools, r-cran-loo, r-cran-matrixstats
Suggests: r-cran-rstanarm, r-cran-brms, r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-conformalbayes_0.1.2-1.ca2004.1_all.deb
Size: 127784
MD5sum: a57ed12cf8f7950ceb7db5bb1b64a292
SHA1: a82d3ab0148b098c9a0792ec1f4afa5a84d1d897
SHA256: d4b55596abbb954b736bd618ab6b4589ce5f333350e25688c986933efae44b61
SHA512: 61956a5e878c79a81eb1a39e45ae22a94809a15543b25f72ad8d802cef06cf3c5b13e17a7e24724841dae232516d982f5548e1990b8aef7adccc7c9a20a7e465
Homepage: https://cran.r-project.org/package=conformalbayes
Description: CRAN Package 'conformalbayes' (Jackknife(+) Predictive Intervals for Bayesian Models)
 Provides functions to construct finite-sample calibrated predictive
 intervals for Bayesian models, following the approach in Barber et al.
 (2021) <doi:10.1214/20-AOS1965>. These intervals are calculated efficiently
 using importance sampling for the leave-one-out residuals. By default, the
 intervals will also reflect the relative uncertainty in the Bayesian model,
 using the locally-weighted conformal methods of Lei et al. (2018)
 <doi:10.1080/01621459.2017.1307116>.

Package: r-cran-conformalclassification
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-foreach, r-cran-doparallel, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-conformalclassification_1.0.0-1.ca2004.1_all.deb
Size: 51004
MD5sum: b66faa9bd51eba68f363f1541c0e89e9
SHA1: dabf6fef68a37457a9a72f84f7720bbd1e111087
SHA256: e0d3a5f053c1b66ad69e1772eb26231f1f70556b119dab2c4331ba6fb6d1da0d
SHA512: 66dd86c93498e4dddb060fdf2a60b857be7623d906d3f00351c4210eb4fd88d33c1cb677644f31ab6e29b3456fce550bbf9070e701272e39d15d445d12a55e8f
Homepage: https://cran.r-project.org/package=conformalClassification
Description: CRAN Package 'conformalClassification' (Transductive and Inductive Conformal Predictions forClassification Problems)
 Implementation of transductive conformal prediction (see Vovk, 2013,
 <doi:10.1007/978-3-642-41142-7_36>) and inductive conformal prediction (see
 Balasubramanian et al., 2014, ISBN:9780124017153) for classification
 problems.

Package: r-cran-conformalinference.fd
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-ggnewscale, r-cran-ggpubr, r-cran-scales
Suggests: r-cran-roahd, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-conformalinference.fd_1.1.1-1.ca2004.1_all.deb
Size: 188632
MD5sum: 40a8b4a9618975a8cfa65f1f5f09b173
SHA1: 64adeaaeaa1a8caa70531066cd25b2ff8161d712
SHA256: 2911201fae7c83b2ad03040540fa73ddc172804b0ff592c61d91498ad26a00a0
SHA512: bb6af03de29daaba7a390d7ae2a9417c81266de9e39fddfacf84edb1e9e8cd295fa2991725c6db86212cd42550567b37ea1200c69a51bf1d8d6b5d84d0277a6b
Homepage: https://cran.r-project.org/package=conformalInference.fd
Description: CRAN Package 'conformalInference.fd' (Tools for Conformal Inference for Regression in MultivariateFunctional Setting)
 It computes full conformal, split conformal and multi split conformal
 prediction regions when the response has functional nature.  Moreover, the
 package also contain a plot function to visualize the output of the split
 conformal.  To guarantee consistency, the package structure mimics the
 univariate 'conformalInference' package of professor Ryan Tibshirani.  The
 main references for the code are: Diquigiovanni, Fontana, and Vantini (2021)
 <arXiv:2102.06746>, Diquigiovanni, Fontana, and Vantini (2021)
 <arXiv:2106.01792>, Solari, and Djordjilovic (2021) <arXiv:2103.00627>.

Package: r-cran-conformalinference.multi
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-glmnet, r-cran-gridextra, r-cran-hrbrthemes
Suggests: r-cran-mvtnorm, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-conformalinference.multi_1.1.1-1.ca2004.1_all.deb
Size: 97672
MD5sum: e83340219c239c6070fd161161f4bad2
SHA1: 38738ad799929f51ee76caaad17516ca25952c98
SHA256: ea254df52a63f44bc91d018e958dc3636fcdefaec77a56498b9c05a11af0238f
SHA512: af3e0844d67ecf3d1f7e100e43acbd1ece8f89efa4329e365746ba205c13416c3e53873da0eb5435666ab17fb263f3bf4f3c394ee8dc4cf59ee1646552ec2317
Homepage: https://cran.r-project.org/package=conformalInference.multi
Description: CRAN Package 'conformalInference.multi' (Conformal Inference Tools for Regression with MultivariateResponse)
 It computes full conformal, split conformal and multi split conformal
 prediction regions when the response variable is multivariate (i.e.
 dimension is greater than one). Moreover, the package also contain plot
 functions to visualize the output of the full and split conformal functions.
 To guarantee consistency, the package structure mimics the univariate
 'conformalInference' package of professor Ryan Tibshirani.  The main
 references for the code are: Lei et al. (2016) <arXiv:1604.04173>,
 Diquigiovanni, Fontana, and Vantini (2021) <arXiv:2102.06746>,
 Diquigiovanni, Fontana, and Vantini (2021) <arXiv:2106.01792>, Solari, and
 Djordjilovic (2021) <arXiv:2103.00627>.

Package: r-cran-conformalpvalue
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-e1071
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conformalpvalue_0.1.0-1.ca2004.1_all.deb
Size: 13820
MD5sum: f12514fafa94c762831f6c412a918dc8
SHA1: e9349d0a3b76d46f9e2203137123a710eb2d5bd7
SHA256: 134868afaefbf6eba3984a9fa9e5e9d2d90361ba169eda9290264fdb326b7791
SHA512: bceed9ed84c83974b64f0bd6e214cfe7ae2a59936da5e2ec3bb99d105c849d383edf2b1e22bcfbaaaab6c12bfcf534fd28d9d44347ea45767fd33a08d868c21a
Homepage: https://cran.r-project.org/package=conformalpvalue
Description: CRAN Package 'conformalpvalue' (Computes Conformal p-Values)
 Computes marginal conformal p-values using conformal prediction in binary
 classification tasks. Conformal prediction is a framework that augments
 machine learning algorithms with a measure of uncertainty, in the form of
 prediction regions that attain a user-specified level of confidence. This
 package specifically focuses on providing conformal p-values that can be
 used to assess the confidence of the classification predictions. For more
 details, see Tyagi and Guo (2023)
 <https://proceedings.mlr.press/v204/tyagi23a.html>.

Package: r-cran-conformalsmallest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mvtnorm, r-cran-mass, r-cran-quantregforest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-repr
Filename: pool/dists/focal/main/r-cran-conformalsmallest_1.0-1.ca2004.1_all.deb
Size: 836312
MD5sum: f0e9661e0e4cd100c371d092fe0cdc9a
SHA1: 4a0ede7f1f67519349da283dacacbe926cda54e4
SHA256: 65e7b9ff4337762e9e4f8f7116ba56c92a1db14741d09c0ddebafe08abe8630b
SHA512: 4bf1026715cff3da502d55954dd1e72ffb2a80b212002d4e4aad3d8d4280c57b34f32501ac97d4dbc54d0b8f9c98b3e66233c8cbe4eb43b5d56ba839e3bf7b5f
Homepage: https://cran.r-project.org/package=ConformalSmallest
Description: CRAN Package 'ConformalSmallest' (Efficient Tuning-Free Conformal Prediction)
 An implementation of efficiency first conformal prediction (EFCP) and
 validity first conformal prediction (VFCP) that demonstrates both validity
 (coverage guarantee) and efficiency (width guarantee). To learn how to use
 it, check the vignettes for a quick tutorial. The package is based on the
 work by Yang Y., Kuchibhotla A.,(2021) <arxiv:2104.13871>.

Package: r-cran-confoundr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3053
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridextra, r-cran-scales, r-cran-rmpfr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-broom
Filename: pool/dists/focal/main/r-cran-confoundr_1.2-1.ca2004.1_all.deb
Size: 2619176
MD5sum: 67f071176bd2c5aead18469f4559401a
SHA1: e159db1899d3a266c15fe33149c3bdd1fec1e1af
SHA256: 915963606b942631369d8b00addcc87a68012d86d47fb903068393d9230848e5
SHA512: d46fd801ff859cad8844b1eccf9626d82877371de5f1729f1ecfd5bbed6ce0794b62c21c8943362b43b55b7e8d3dec8dc34a045be75e059557d4bacc39ca933b
Homepage: https://cran.r-project.org/package=confoundr
Description: CRAN Package 'confoundr' (Diagnostics for Confounding of Time-Varying and Other JointExposures)
 Implements three covariate-balance diagnostics for time-varying confounding
 and selection-bias in complex longitudinal data, as described in Jackson
 (2016) <doi:10.1097/EDE.0000000000000547> and Jackson (2019)
 <doi:10.1093/aje/kwz136>. Diagnostic 1 assesses measured
 confounding/selection-bias, diagnostic 2 assesses exposure-covariate
 feedback, and diagnostic 3 assesses residual confounding/selection-bias
 after inverse probability weighting or propensity score stratification. All
 diagnostics appropriately account for exposure history, can be adapted to
 assess a particular depth of covariate history, and can be implemented in
 right-censored data. Balance assessments can be obtained for all times,
 selected-times, or averaged across person-time. The balance measures are
 reported as tables or plots. These diagnostics can be applied to the study
 of multivariate exposures including time-varying exposures, direct effects,
 interaction, and censoring.

Package: r-cran-confreq
Architecture: all
Version: 1.6.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gmp, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-confreq_1.6.1-1-1.ca2004.1_all.deb
Size: 161188
MD5sum: 0aadff89dca7de20752c9d883217e713
SHA1: d2b67a9bfaad1086fd2270aec708240147b54f85
SHA256: d0dfb3f8c1e36f62d253401358bffbbdda330cf2ea5f086c6e2f589b5776aafb
SHA512: b35b25be2db073e7dd159dd8f46347b0e7f2d8bf953804087171311a7dee4b78f5d8deb3016ed521851a3665b4aa4a8e12058d38e700017a6a7d25082badab7a
Homepage: https://cran.r-project.org/package=confreq
Description: CRAN Package 'confreq' (Configural Frequencies Analysis Using Log-Linear Modeling)
 Offers several functions for Configural Frequencies Analysis (CFA), which is
 a useful statistical tool for the analysis of multiway contingency tables.
 CFA was introduced by G. A. Lienert as 'Konfigurations Frequenz Analyse -
 KFA'. Lienert, G. A. (1971).  Die Konfigurationsfrequenzanalyse: I. Ein
 neuer Weg zu Typen und Syndromen.  Zeitschrift für Klinische Psychologie und
 Psychotherapie, 19(2), 99–115.

Package: r-cran-confsam
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-penalized, r-cran-survival, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-confsam_0.2-1.ca2004.1_all.deb
Size: 304548
MD5sum: b99dcf16b879a81056e5a5c592adc3e1
SHA1: fb759bc69a5ef9663ff4d2bffc093a7acf50617f
SHA256: d528de4c1134280a62415c7f0a5b73ef8eb0c613d1b9dc87da444e3bf53ce985
SHA512: 2dc8ac17c373e4f7ebf24debbed6ab98709d7e7fff4d46159a71c35501108bff7b174e05ca2110ba76ceef16042936df0ca1f3f4e279825ecdf72348794426bf
Homepage: https://cran.r-project.org/package=confSAM
Description: CRAN Package 'confSAM' (Estimates and Bounds for the False Discovery Proportion, byPermutation)
 For multiple testing.  Computes estimates and confidence bounds for the
 False Discovery Proportion (FDP), the fraction of false positives among all
 rejected hypotheses.  The methods in the package use permutations of the
 data. Doing so, they take into account the dependence structure in the data.

Package: r-cran-confusiontabler
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-caret, r-cran-purrr, r-cran-furrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-e1071, r-cran-randomforest, r-cran-scales, r-cran-mlbench, r-cran-featureterminator
Filename: pool/dists/focal/main/r-cran-confusiontabler_1.0.4-1.ca2004.1_all.deb
Size: 92256
MD5sum: 4e162e54ac809ea38c4d0075aca0fd3d
SHA1: 4d233a29ce99bc24761e96f2d6fe7b597e361585
SHA256: 88bbbd7214793b09d491e16bf6a1459b2dbbeb114766096deb021ca63c3d1ea1
SHA512: eb4f0d7841afa52bd15eaf9bc9790ef969872ba13bc8e82e8d57189c25ff856f65c705aec675c03e108cd3f78674f22a816b217878c59f60506c96c97e1665a2
Homepage: https://cran.r-project.org/package=ConfusionTableR
Description: CRAN Package 'ConfusionTableR' (Confusion Matrix Toolset)
 Takes the outputs of a 'caret' confusion matrix and allows for the quick
 conversion of these list items to lists.  The intended usage is to allow the
 tool to work with the outputs of machine learning classification models.
 This tool works with classification problems for binary and
 multi-classification problems and allows for the record level conversion of
 the confusion matrix outputs.  This is useful, as it allows quick conversion
 of these objects for storage in database systems and to track ML model
 performance over time.  Traditionally, this approach has been used for
 highlighting model representation and feature slippage.

Package: r-cran-confzic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cmna, r-cran-ltsa, r-cran-mumin, r-cran-mvtnorm, r-cran-tidytable, r-cran-psych
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-confzic_1.0.1-1.ca2004.1_all.deb
Size: 66832
MD5sum: 04b6b8f760753b155d69823c15d38bfb
SHA1: 64249f7ca2860dc18d3e3a5e013080e89142fea1
SHA256: 5d4b64190e76e9fc3de6980d95b54a7273bad5eabada4abc0c09bd05bc37dfc3
SHA512: c10049ddbb546964f96ab174906097d5000058a8e05a179222b60e0978a8bbdb1fe261e33c075ad4f7f260889c1ddbe3fd4f88bf232d59cb65aba58c3b3d0af1
Homepage: https://cran.r-project.org/package=ConfZIC
Description: CRAN Package 'ConfZIC' (Confidence Envelopes for Model Selection Criteria Based onMinimum ZIC)
 Narrow down the number of models to look at in model selection using the
 confidence envelopes based on the minimum ZIC (Generalized Information
 Criteria) values for regression and time series data. Functions involve the
 computation of multivariate normal-probabilities with covariance matrices
 based on minimum ZIC inverting the CDF of the minimum ZIC. It involves both
 the computation of singular and non-singular probabilities as described in
 Genz (1992) <[https:doi.org/10.2307/1390838]https:doi.org/10.2307/1390838>.

Package: r-cran-congress
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-httptest2, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-congress_0.0.3-1.ca2004.1_all.deb
Size: 161164
MD5sum: 6cf3dd24c5a10a8adcabd27822a9742b
SHA1: c92be7d92772f6445fd034944ff25777b767a8fd
SHA256: 74fc6f3d6cf82086702a4c45b48d00d8bc88c25e5db370ac827065c24e39e876
SHA512: cb3cca852ad75e5e5c91ffc1d43d7cdfa756331678c5d73341e8ef66bc7ea83d0e9f0f4ebbc5ba4e502ee0836f90ca6d89025a0cd91e1c9d2e2118c8d701091f
Homepage: https://cran.r-project.org/package=congress
Description: CRAN Package 'congress' (Access the Congress.gov API)
 Download and read data on United States congressional proceedings.  Data is
 read from the Library of Congress's Congress.gov Application Programming
 Interface (<https://github.com/LibraryOfCongress/api.congress.gov/>).
 Functions exist for all version 3 endpoints, including for bills,
 amendments, congresses, summaries, members, reports, communications,
 nominations, and treaties.

Package: r-cran-congressdata
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-rlang, r-cran-fst, r-cran-curl, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-congressdata_1.5.5-1.ca2004.1_all.deb
Size: 23252
MD5sum: 63061b7116ee13ec19478ea50055478b
SHA1: 8927a9d2b9066b53901a5aa606b73751f7fa31a8
SHA256: e1c4a99c22c5ca09d731aabdc429f50e287aa9690956913dfd5701f9aacf384c
SHA512: a2d220bbf236f9d4b4471ea56d0a318cc78ca26ecba9bce0c77a3f3fabc278a95bb1355f5a178e95adc53d7bd253f15219dee9c704cc6424a7bbfa8bb8a805c8
Homepage: https://cran.r-project.org/package=CongressData
Description: CRAN Package 'CongressData' (A Functional Tool for 'CongressData')
 A tool that imports, subsets, and exports the 'CongressData' dataset.
 'CongressData' contains approximately 800 variables concerning all US
 congressional districts with data back to 1789. The dataset tracks district
 characteristics, members of Congress, and the political behavior of those
 members. Users with only a basic understanding of R can subset this data
 across multiple dimensions, export their search results, identify the
 citations associated with their searches, and more.

Package: r-cran-congrevelamsdell2016
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4616
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ternary
Suggests: r-cran-ape, r-cran-bookdown, r-cran-knitr, r-cran-phangorn, r-cran-quartet, r-cran-rmarkdown, r-cran-treesearch, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-congrevelamsdell2016_1.0.3-1.ca2004.1_all.deb
Size: 4294236
MD5sum: b22a583c5705bd11de66a43d22276e60
SHA1: 98fb1dd0e91a0379b86ba5c3961a43ee2029dc64
SHA256: d4fa799a2d9db87a07f490bc8030ec19f9b4608b339897c119b8abfbd3fa4942
SHA512: 2a5ec4d26b840cfb2bb0521a4c1503ebd4d26db44a2249e728c194beb4ee6c5b8220e9012a7f17f9d02664cb652a8f031482d772e04242fa7310d9ae6cf3d032
Homepage: https://cran.r-project.org/package=CongreveLamsdell2016
Description: CRAN Package 'CongreveLamsdell2016' (Distance Metrics for Trees Generated by Congreve and Lamsdell)
 Includes the 100 datasets simulated by Congreve and Lamsdell (2016)
 <doi:10.1111/pala.12236>, and analyses of the partition and quartet distance
 of reconstructed trees from the generative tree, as analysed by Smith (2019)
 <doi:10.1098/rsbl.2018.0632>.

Package: r-cran-coni
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1471
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-doparallel, r-cran-cocor, r-cran-ggplot2, r-cran-forcats, r-cran-dplyr, r-cran-data.table, r-cran-tibble, r-cran-foreach, r-bioc-genefilter, r-cran-ggrepel, r-cran-gplots, r-cran-gridextra, r-cran-plyr, r-cran-ppcor, r-cran-tidyr, r-cran-hmisc, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-coni_0.1.0-1.ca2004.1_all.deb
Size: 1234468
MD5sum: 2c590a97f49690131e09ca621547c61c
SHA1: acda04e03d112bdc4d40c0bd4bfbf78afd6678b6
SHA256: 228ec0fd45124cfa79e0ce012f80f10d131aa6ac957e1008e50a8bfe8b9c6206
SHA512: ed917132766d55543eae51a0640ae244223f8d4aa932203c55f2e74b7d304a3da97c11cdf824694d1791bcb71353562d050891022d2e84db8f810eb1bdc63b1e
Homepage: https://cran.r-project.org/package=CoNI
Description: CRAN Package 'CoNI' (Correlation Guided Network Integration (CoNI))
 Integrates two numerical omics data sets from the same samples using partial
 correlations. The output can be represented as a network, bipartite graph or
 a hypergraph structure. The method used in the package refers to Klaus et al
 (2021) <doi:10.1016/j.molmet.2021.101295>.

Package: r-cran-conicfit
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-geigen
Filename: pool/dists/focal/main/r-cran-conicfit_1.0.4-1.ca2004.1_all.deb
Size: 149280
MD5sum: 16bf0480441143c850ff1d23ad9a3bc9
SHA1: 6b23e043e36f58d5adff7221865b7619f3af2ab7
SHA256: 9478a7432d737b37904ff8e587da8d8ca11e97a2ed88a460808944253a114f1b
SHA512: 95c7d69b935ca91bb79d40824b472e47333bc6f16cefc74c0220fb185ca1c3a0816c7c1fe96a486dd0ed288ba166c41dba662bd98db8fff6e019153ce3f34858
Homepage: https://cran.r-project.org/package=conicfit
Description: CRAN Package 'conicfit' (Algorithms for Fitting Circles, Ellipses and Conics Based on theWork by Prof. Nikolai Chernov)
 Geometric circle fitting with Levenberg-Marquardt (a, b, R),
 Levenberg-Marquardt reduced (a, b), Landau, Spath and Chernov-Lesort.
 Algebraic circle fitting with Taubin, Kasa, Pratt and
 Fitzgibbon-Pilu-Fisher. Geometric ellipse fitting with ellipse LMG
 (geometric parameters) and conic LMA (algebraic parameters). Algebraic
 ellipse fitting with Fitzgibbon-Pilu-Fisher and Taubin.

Package: r-cran-conics
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-conics_0.3-1.ca2004.1_all.deb
Size: 300320
MD5sum: 68d697cc06e71223a8f57d63d6474eb1
SHA1: aaab7054f0a6c63b9eb6266018bbb71ca3dbc556
SHA256: 4ce0eda586e8f35fabefdbf7ce623a6c6f4761b4887f956ceefec20b03d843dc
SHA512: 9dbc2f0d9283a377bfc861c7dce9486cb87a16e14f8d89009f0e421ba05c02645eaeb56814153ac8b9f2331f6ebe2ca6c028737b135fe01ecec68e7ab15fbfa3
Homepage: https://cran.r-project.org/package=conics
Description: CRAN Package 'conics' (Plot Conics)
 plot conics (ellipses, hyperbolas, parabolas)

Package: r-cran-conigrave
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-conigrave_0.4.4-1.ca2004.1_all.deb
Size: 67760
MD5sum: 326f93db496eb3b047c743762f17233c
SHA1: 5f32ca9107830a1d216f884523290dc251848b5d
SHA256: fad0631d536cbc395ad9a9ffd328c2c90fd4df4a5634a5c6d4cfcb2626fbe624
SHA512: 450de16a0b234a25f0e487a892e478bf0cc77ed9906a3b824c8749c914205368aed0d116e8c1c68ce333bbcf3204df7a54c924b4fe484645f5530f00e1abbde3
Homepage: https://cran.r-project.org/package=Conigrave
Description: CRAN Package 'Conigrave' (Flexible Tools for Multiple Imputation)
 Provides a set of tools that can be used across 'data.frame' and
 'imputationList' objects.

Package: r-cran-conjoint
Architecture: all
Version: 1.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-algdesign, r-cran-fpc, r-cran-broom, r-cran-ggplot2, r-cran-cluster, r-cran-ggfortify
Filename: pool/dists/focal/main/r-cran-conjoint_1.42-1.ca2004.1_all.deb
Size: 131000
MD5sum: 2a074250946d3bd25e572b48990370fb
SHA1: 94a954544afd7478116657fe5e73bcb0493eb6f8
SHA256: ba59c80bfea2de692e5e606c9912df7d25ab81df6526aad65f2e227e72a4e196
SHA512: 470a7867bd15705224b4af859188e2c73c5f0fcb8d9db316a4023dfc95d5ff0a56a93d344b60f34295384ca5b5adfd134703f68c5e0a9a981642ef311dae3416
Homepage: https://cran.r-project.org/package=conjoint
Description: CRAN Package 'conjoint' (An Implementation of Conjoint Analysis Method)
 This is a simple R package that allows to measure the stated preferences
 using traditional conjoint analysis method.

Package: r-cran-conjurer
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1501
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-conjurer_1.7.1-1.ca2004.1_all.deb
Size: 341824
MD5sum: e218b926c198f0326d76f70679dfcdd0
SHA1: 183544e1632a4bfc8f07ca2d7f32e543e545c638
SHA256: 7cddd6a75175024c8c441c8cec79c7b78f7b58cfbf58cc4a1968f8cba0f30ae4
SHA512: f648437629d3c925ed1bf9a68e86b6f06e715e56f45b9fd7d83d4cdbe58896163c02610cf225057952ea70768ac77068dfb7a23862e4bd2acf93387e0d9e3c07
Homepage: https://cran.r-project.org/package=conjurer
Description: CRAN Package 'conjurer' (A Parametric Method for Generating Synthetic Data)
 Generates synthetic data distributions to enable testing various modelling
 techniques in ways that real data does not allow. Noise can be added in a
 controlled manner such that the data seems real. This methodology is generic
 and therefore benefits both the academic and industrial research.

Package: r-cran-conmet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-foreign, r-cran-waiter, r-cran-shinywidgets, r-cran-purrr, r-cran-lavaan, r-cran-summarytools, r-cran-stringr, r-cran-dplyr, r-cran-hmisc, r-cran-semtools, r-cran-openxlsx, r-cran-dt
Filename: pool/dists/focal/main/r-cran-conmet_0.1.0-1.ca2004.1_all.deb
Size: 29336
MD5sum: 0bb60e75bb46b62c26a7c3b5e4ee5dfb
SHA1: 438cf154a060ad45dc5743b078692fb1da705dff
SHA256: e9c3bc1b0ae6eb5153c873be9d5d358c8bfe51d1ab6558f682736967fb75c80d
SHA512: 05b928fccf933545660bfe3ddd16ab7f271e1318a98d87caa0a69e6b17d71b93f5fbc2c40db404664c12667d00152354a6817d7735b411b9d6b0589f0005250d
Homepage: https://cran.r-project.org/package=conmet
Description: CRAN Package 'conmet' (Construct Measurement Evaluation Tool)
 With this package you can run 'ConMET' locally in R. 'ConMET' is an R-shiny
 application that facilitates performing and evaluating confirmatory factor
 analyses (CFAs) and is useful for running and reporting typical measurement
 models in applied psychology and management journals. 'ConMET' automatically
 creates, compares and summarizes CFA models. Most common fit indices (E.g.,
 CFI and SRMR) are put in an overview table. ConMET also allows to test for
 common method variance. The application is particularly useful for teaching
 and instruction of measurement issues in survey research. The application
 uses the 'lavaan' package (Rosseel, 2012) to run CFAs.

Package: r-cran-connect
Architecture: all
Version: 0.7.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-qgraph
Suggests: r-cran-covr, r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-connect_0.7.27-1.ca2004.1_all.deb
Size: 92888
MD5sum: a178f7a0846414068241b952cef75d39
SHA1: caa62c024a1e1d8863fbc016405942a48a35cdcf
SHA256: 9764846d3e2f7e48f91d6faf6f93657718fd844a5d745cc615b0d6a2fba62367
SHA512: beb6c7a57e8d986341391fd819629411a76c3591f36998560564fec831de683e957bf0ea5b58c71d0d89ca41bcded7d4c0144899dd0c67001c6ae7702fa69d99
Homepage: https://cran.r-project.org/package=ConNEcT
Description: CRAN Package 'ConNEcT' (Contingency Measure-Based Networks for Binary Time Series)
 The ConNEcT approach investigates the pairwise association strength of
 binary time series by calculating contingency measures and depicts the
 results in a network. The package includes features to explore and visualize
 the data. To calculate the pairwise concurrent or temporal sequenced
 relationship between the variables, the package provides seven contingency
 measures (proportion of agreement, classical & corrected Jaccard, Cohen's
 kappa, phi correlation coefficient, odds ratio, and log odds ratio),
 however, others can easily be implemented. The package also includes
 non-parametric significance tests, that can be applied to test whether the
 contingency value quantifying the relationship between the variables is
 significantly higher than chance level. Most importantly this test accounts
 for auto-dependence and relative frequency.See Bodner et al.(2021) <doi:
 10.1111/bmsp.12222>.Finally, a network can be drawn. Variables depicted the
 nodes of the network, with the node size adapted to the prevalence. The
 association strength between the variables defines the undirected
 (concurrent) or directed (temporal sequenced) links between the nodes. The
 results of the non-parametric significance test can be included by depicting
 either all links or only the significant ones. Tutorial see Bodner et
 al.(2021) <doi:10.3758/s13428-021-01760-w>.

Package: r-cran-connectapi
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1096
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bit64, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-mime, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-tibble, r-cran-uuid, r-cran-vctrs, r-cran-base64enc
Suggests: r-cran-covr, r-cran-dbplyr, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-httptest, r-cran-knitr, r-cran-lubridate, r-cran-progress, r-cran-rmarkdown, r-cran-rprojroot, r-cran-rsconnect, r-cran-spelling, r-cran-testthat, r-cran-webshot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-connectapi_0.7.0-1.ca2004.1_all.deb
Size: 892940
MD5sum: 91756479c28f2f05570ce633d6eab6d7
SHA1: ef2fded058efcf531642ea9df432175a1f4aa243
SHA256: 537ee43cceaedca70555bb7586c1901bac5d3771e1226fad62b9cb9d16755a0b
SHA512: 908e401ac719af8447aa2ab49abf8000b19467d4c0e34cee12a253143043ac9dc92d009c67e19da8ab18f1871b1eb02adcee3cacc61683d656639cc67cb7a046
Homepage: https://cran.r-project.org/package=connectapi
Description: CRAN Package 'connectapi' (Utilities for Interacting with the 'Posit Connect' Server API)
 Provides a helpful 'R6' class and methods for interacting with the 'Posit
 Connect' Server API along with some meaningful utility functions for regular
 tasks. API documentation varies by 'Posit Connect' installation and version,
 but the latest documentation is also hosted publicly at
 <https://docs.posit.co/connect/api/>.

Package: r-cran-connectcreds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-connectcreds_0.1.0-1.ca2004.1_all.deb
Size: 52852
MD5sum: 48c6c9e29754f2f6fca3fc6672223354
SHA1: 2afbddb2ba9ab60cf48fe30d63d0aad363f0c97e
SHA256: 68c8ea0d3c7b6408f75e6d1333f8cd71f814fb5334d2a082d94f9dee503f6a75
SHA512: e91e7537cef7fea554bb6cb8e391a351be1a6a93b37be4a6ceb0a832645ab8b39e7b4dd175c2da83d2c6bac5b0a0167c827254af4342f7b55dfd0a39055a24fe
Homepage: https://cran.r-project.org/package=connectcreds
Description: CRAN Package 'connectcreds' (Manage 'OAuth' Credentials from 'Posit Connect')
 A toolkit for making use of credentials mediated by 'Posit Connect'. It
 handles the details of communicating with the Connect API correctly, 'OAuth'
 token caching, and refresh behaviour.

Package: r-cran-connected
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-lfe, r-cran-reshape2
Suggests: r-cran-agridat, r-cran-dplyr, r-cran-janitor, r-cran-knitr, r-cran-lme4, r-cran-lucid, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-connected_1.1-1.ca2004.1_all.deb
Size: 201696
MD5sum: d5916eeb2c3922045a711286a54f1f62
SHA1: 6b0e7791d53a0f9d2ff9763c1297671b98d2620b
SHA256: 836ea06c13b9ee45b8a2ce8ca4b2a8465acbcbe309535cfc248914cea5fec940
SHA512: a5c13c2fce4ca8734ebf6819e39c1f68ced5f3e2c404777ab730db5eff7bf8047966cac64d6f96e775b1d1768586831aabeac917ca13d54821d7341c24a16178
Homepage: https://cran.r-project.org/package=connected
Description: CRAN Package 'connected' (Visualize and Improve Connectedness of Factors in Tables)
 Visualize the connectedness of factors in two-way tables.  Perform two-way
 filtering to improve the degree of connectedness.  See Weeks & Williams
 (1964) <doi:10.1080/00401706.1964.10490188>.

Package: r-cran-connectednessapproach
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-frequencyconnectedness, r-cran-rmgarch, r-cran-rugarch, r-cran-igraph, r-cran-quantreg, r-cran-mass, r-cran-progress, r-cran-glmnet, r-cran-xts, r-cran-zoo, r-cran-urca, r-cran-moments, r-cran-riskparityportfolio, r-cran-performanceanalytics, r-cran-car, r-cran-l1pack
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-connectednessapproach_1.0.4-1.ca2004.1_all.deb
Size: 2997360
MD5sum: 35688bafdbba975b19346b4290634e68
SHA1: d21a1667a4ebec1586744455a40c6f120a11e28b
SHA256: 304e39613116cc780561fb189b582686d5a05a67f050947d96f38934a5c83f2a
SHA512: 0430f3c1e678b33f05a463564890ce543f6be79890cb2196a5f018491bf857ea1844d73a7c524d13185d87f2f0edeb178e4698e38a937dc2f4bbf07831664aaa
Homepage: https://cran.r-project.org/package=ConnectednessApproach
Description: CRAN Package 'ConnectednessApproach' (Connectedness Approach)
 The estimation of static and dynamic connectedness measures is created in a
 modular and user-friendly way. Besides, the time domain connectedness
 approaches, this package further allows to estimate the frequency
 connectedness approach, the joint spillover index and the extended joint
 connectedness approach. In addition, all connectedness frameworks can be
 based upon orthogonalized and generalized VAR, QVAR, LASSO VAR, Ridge VAR,
 Elastic Net VAR and TVP-VAR models. Furthermore, the package includes the
 conditional, decomposed and partial connectedness measures as well as the
 pairwise connectedness index, influence index and corrected total
 connectedness index. Finally, a battery of datasets are available allowing
 to replicate a variety of connectedness papers.

Package: r-cran-connections
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1021
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-pins, r-cran-dplyr, r-cran-dbplyr, r-cran-uuid, r-cran-rscontract
Suggests: r-cran-rsqlite, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-connections_0.2.0-1.ca2004.1_all.deb
Size: 913392
MD5sum: dec0f7847ed96965dc3446b20ab16b35
SHA1: 1aae8b7c5cb8a0686a82e8ccd0bc771f7a490216
SHA256: 5d4ed3b16e9ba3c9f89ee70ca9604739b5246df8b7dd26444d28112b833cdbed
SHA512: e811e539631c7afd74061963d6f0acbfea457619c48ea3689c0e335e954215950e7883efdec155cdd74f61cfb1764d132e1d9b7d8ec945f5fb1294a7a927d16d
Homepage: https://cran.r-project.org/package=connections
Description: CRAN Package 'connections' (Integrates with the 'RStudio' Connections Pane and 'pins')
 Enables 'DBI' compliant packages to integrate with the 'RStudio' connections
 pane, and the 'pins' package. It automates the display of schemata, tables,
 views, as well as the preview of the table's top 1000 records.

Package: r-cran-connectomoda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readr
Filename: pool/dists/focal/main/r-cran-connectomoda_1.0.0-1.ca2004.1_all.deb
Size: 11600
MD5sum: a5fa42e6b54d5344b5dd17fe2f9a2f7d
SHA1: fb683d7869533e1583695d66b64caacdff6495da
SHA256: e8ced7b1fb4b247b1b0605ccd5e080ea9ac366bd63a2b622f80c66a30896af1d
SHA512: 350fd6a5f93761f5ce6971359c07e0d86fb992523fba5ad4b7ae25e9528ec47b7a358cb387ff96814d0616bad442df6447eae8b27ad1e81d1c99c57eb4dc1ab8
Homepage: https://cran.r-project.org/package=connectoModa
Description: CRAN Package 'connectoModa' (Download Data from Moda)
 Connect to WFP's Moda platform to R, download data, and obtain the list of
 individuals with access to the project along with their access level.

Package: r-cran-connector
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1129
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-checkmate, r-cran-cli, r-cran-dbi, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-haven, r-cran-jsonlite, r-cran-purrr, r-cran-r6, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-vroom, r-cran-writexl, r-cran-yaml, r-cran-zephyr
Suggests: r-cran-dbplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsqlite, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-whirl, r-cran-withr
Filename: pool/dists/focal/main/r-cran-connector_0.1.1-1.ca2004.1_all.deb
Size: 420260
MD5sum: 86b75a767c42417ecadec6fd50c3ab52
SHA1: cc35920892795a90b37720abaaf645ede14d0338
SHA256: 2ee1418ebef16f3cc039cd6d813fd52883cf884f6d14667aa0c03f1b0b36ba7d
SHA512: a88a68812af6cdcd8741009b37c8b91cb47ce0f3470861017d58bd18f4a30170514d08ed9ae2b64c7865c92de9391b3640abc177149ab0b3a100116ab15c6f41
Homepage: https://cran.r-project.org/package=connector
Description: CRAN Package 'connector' (Streamlining Data Access in Clinical Research)
 Provides a consistent interface for connecting R to various data sources
 including file systems and databases.  Designed for clinical research,
 'connector' streamlines access to 'ADAM', 'SDTM' for example. It helps to
 deal with multiple data formats through a standardized API and centralized
 configuration.

Package: r-cran-connectwidgets
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4957
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-htmlwidgets, r-cran-reactable, r-cran-dplyr, r-cran-magrittr, r-cran-htmltools, r-cran-glue, r-cran-rlang, r-cran-digest, r-cran-crosstalk, r-cran-reactr, r-cran-purrr, r-cran-bslib, r-cran-sass
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-webmockr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-connectwidgets_0.2.1-1.ca2004.1_all.deb
Size: 1077148
MD5sum: 12d5a1b7029b05e98414f8d0bee8e1ff
SHA1: 5588fbd65a49d3aebf6f8d15866214d94c3ee7a5
SHA256: 8e15784ca054ed6b33d8c27f1ebece80c7ef424057e8a8e20f74087631fdd9b3
SHA512: 7cc4bbff1fce2d26a43f54f284173972cd20b8e31495c9334d3d85359a9bf7a9cbdf1e83f480e03f9b90eb5a0ff7d7221178d862f4d83eb5d51463580527e93c
Homepage: https://cran.r-project.org/package=connectwidgets
Description: CRAN Package 'connectwidgets' (Organize and Curate Your Content Within 'Posit Connect')
 A collection of helper functions and 'htmlwidgets' to help publishers curate
 content collections on 'Posit Connect'. The components, Card, Grid, Table,
 Search, and Filter can be used to produce a showcase page or gallery
 contained within a static or interactive R Markdown page.

Package: r-cran-connmattools
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-igraph, r-cran-mcmc
Filename: pool/dists/focal/main/r-cran-connmattools_0.3.5-1.ca2004.1_all.deb
Size: 263512
MD5sum: 5286e8d861e41f105906bc25ba68bc2b
SHA1: 2201cc25ad77977cce66ad05cfb7b07053643d83
SHA256: 0cef541e69275fabf9c8664848402f92a6cf9982cfea9f5f2b5d644b908c82cc
SHA512: 8daeb78c054a25de1af9bb4bfe73a580b0c9ff85824097f834383d897ff993f5d57493d8353dcd5f2b3270716d8af83d7a15ad0818e234dcc5d067c1f48f8b78
Homepage: https://cran.r-project.org/package=ConnMatTools
Description: CRAN Package 'ConnMatTools' (Tools for Working with Connectivity Data)
 Collects several different methods for analyzing and working with
 connectivity data in R.  Though primarily oriented towards marine larval
 dispersal, many of the methods are general and useful for terrestrial
 systems as well.

Package: r-cran-conogive
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-mvtnorm, r-cran-checkmate, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-psychtools, r-cran-covr
Filename: pool/dists/focal/main/r-cran-conogive_1.0.0-1.ca2004.1_all.deb
Size: 114604
MD5sum: 1c77b12bc0904a459c933425b54e2afb
SHA1: a18d1480c0ac04d3979cb72912b34145170349fb
SHA256: 18925471a17725991a83d979dd54c3426ac0186e01c93454e05c6e1db0fb34c0
SHA512: 6938c1fd092970f178e969d67f453b2568a67b26bac4694383b538058694b6e0915395c0490e27329fbbc76cd8a7428581e7fba005fdc4bd68de6940f3970677
Homepage: https://cran.r-project.org/package=conogive
Description: CRAN Package 'conogive' (Congeneric Normal-Ogive Model)
 The congeneric normal-ogive model is a popular model for psychometric data
 (McDonald, R. P. (1997) <doi:10.1007/978-1-4757-2691-6_15>).  This model
 estimates the model, calculates theoretical and concrete reliability
 coefficients, and predicts the latent variable of the model.  This is the
 companion package to Moss (2020) <doi:10.31234/osf.io/nvg5d>.

Package: r-cran-conover.test
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-conover.test_1.1.6-1.ca2004.1_all.deb
Size: 55884
MD5sum: ddbf8b8f227af36fac69ca86b5139a24
SHA1: f4520d8a261956ff13004756f7eaa7158322284e
SHA256: d55ff3a8bd9fb57b8e1ff42d23252e85cc67011ef045f32aa4e401a17a054279
SHA512: 09e575904522758dc3b167ff741e139d3e391b795932cc489a075035b10881e1b7a51049927ba3dc71245663df6803f9adb2c7272b9758bcbe1cd503f3c1edb4
Homepage: https://cran.r-project.org/package=conover.test
Description: CRAN Package 'conover.test' (Conover-Iman Test of Multiple Comparisons Using Rank Sums)
 Computes the Conover-Iman test (1979) for 0th-order stochastic dominance and
 reports the results among multiple pairwise comparisons after a
 Kruskal-Wallis omnibus test for i0th-order stochastic dominance among k
 groups (Kruskal and Wallis, 1952). conover.test makes k(k-1)/2 multiple
 pairwise comparisons based on Conover-Iman t-test-statistic of the rank
 differences. The null hypothesis for each pairwise comparison is that the
 probability of observing a randomly selected value from the first group that
 is larger than a randomly selected value from the second group equals one
 half; this null hypothesis corresponds to that of the Wilcoxon-Mann-Whitney
 rank-sum test. Like the rank-sum test, if the data can be assumed to be
 continuous, and the distributions are assumed identical except for a
 difference in location, Conover-Iman test may be understood as a test for
 median difference and for mean difference. conover.test accounts for tied
 ranks. The Conover-Iman test is strictly valid if and only if the
 corresponding Kruskal-Wallis null hypothesis is rejected.

Package: r-cran-conr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-fields, r-cran-geosphere, r-cran-rgdal, r-cran-rgeos, r-cran-tibble, r-cran-writexl, r-cran-snow, r-cran-dosnow, r-cran-foreach, r-cran-rnaturalearth, r-cran-sf
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-rnaturalearthdata, r-cran-alphahull
Filename: pool/dists/focal/main/r-cran-conr_1.3.0-1.ca2004.1_all.deb
Size: 3576772
MD5sum: 889ed01554e250ed9429ff99021457b1
SHA1: 1f9fb43699967a051b76e5eb75933ca969605b78
SHA256: a5718cb545d4ea30781b7e93357773c252003a7352bb53c5bbb5074f5b23411d
SHA512: c06c19903b02cb8b0d6a04944bef4057b3803e3914f976d75db69afa91ad0096e38b027157c170346a80a517a7e3a4a244bf13ba5b115d808bc7e08fc86dee2b
Homepage: https://cran.r-project.org/package=ConR
Description: CRAN Package 'ConR' (Computation of Parameters Used in Preliminary Assessment ofConservation Status)
 Multi-species estimation of geographical range parameters for preliminary
 assessment of conservation status following Criterion B of the International
 Union for Conservation of Nature (IUCN, see <http://www.iucnredlist.org>).

Package: r-cran-conrad
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conrad_1.0.0.1-1.ca2004.1_all.deb
Size: 45408
MD5sum: 96d7c30523dc0ee65a80d2f6eec2ec65
SHA1: 8dc6076a3bad9aeadd9a9f2a1550ea772742a371
SHA256: 79badb577c1a1dd6a13147bf7be2ea47ba18b2fe85e63adfdf4373ed6811b0e1
SHA512: f4d0f595bc1a8b18f05f3ad80dc6c8edc9c233b93709ce70ea8494ebcb80cd7980b86a8ec517f3413510f51e9df90c53c13f795b93a829cf353d2dc98efd5fa9
Homepage: https://cran.r-project.org/package=conrad
Description: CRAN Package 'conrad' (Client for the Microsoft's 'Cognitive Services Text to SpeechREST' API)
 Convert text into synthesized speech and get a list of supported voices for
 a region.  Microsoft's 'Cognitive Services Text to Speech REST' API
 <https://learn.microsoft.com/en-us/azure/cognitive-services/speech-service/rest-text-to-speech?tabs=streaming>
 supports neural text to speech voices, which support specific languages and
 dialects that are identified by locale.

Package: r-cran-consensusclustering
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-igraph, r-cran-cluster, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-consensusclustering_1.5.0-1.ca2004.1_all.deb
Size: 121220
MD5sum: 79aaa68e7342e48606c281732e89b037
SHA1: dc5a84e4cac6133b0b74b3940a3e6e713d2bf149
SHA256: 55f9bd59e721287c9fba743cfa3ab7f1f2fdf78ac4807a6fca2c86b9ce0ad464
SHA512: f683c0902fdb8062788ae2a8bf1d2296fcbbd78a0a9cd0b8e54830550f641b9c86ec54388bda819faa157141b1d9f8206bddcfa0a2d4a55d4c0310935b61437a
Homepage: https://cran.r-project.org/package=ConsensusClustering
Description: CRAN Package 'ConsensusClustering' (Consensus Clustering)
 Clustering, or cluster analysis, is a widely used technique in
 bioinformatics to identify groups of similar biological data points.
 Consensus clustering is an extension to clustering algorithms that aims to
 construct a robust result from those clustering features that are invariant
 under different sources of variation. For the reference, please cite the
 following paper: Yousefi, Melograna, et. al., (2023)
 <doi:10.3389/fmicb.2023.1170391>.

Package: r-cran-consensusopls
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6243
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-ggrepel, r-cran-plotly, r-cran-psych, r-cran-dt, r-bioc-complexheatmap
Filename: pool/dists/focal/main/r-cran-consensusopls_1.1.0-1.ca2004.1_all.deb
Size: 3553764
MD5sum: 304492876ab62d5cffeae290bcc728cf
SHA1: 64c9608e63e5ab7a00afc8bf123fc53231f7966a
SHA256: 9b05cf5365b73816d7055271d12ed8df13609c29338851bb036f901b655ef85f
SHA512: 7397af9e22c9a7ac4d37acbe880fab173668818027c0ce33762673055985ababfbb5711f6414567704b9212ac5bcc06d3715776d83f690f60f706b15765e3fd3
Homepage: https://cran.r-project.org/package=ConsensusOPLS
Description: CRAN Package 'ConsensusOPLS' (Consensus OPLS for Multi-Block Data Fusion)
 Merging data from multiple sources is a relevant approach for
 comprehensively evaluating complex systems. However, the inherent problems
 encountered when analyzing single tables are amplified with the generation
 of multi-block datasets, and finding the relationships between data layers
 of increasing complexity constitutes a challenging task. For that purpose, a
 generic methodology is proposed by combining the strength of established
 data analysis strategies, i.e. multi-block approaches and the Orthogonal
 Partial Least Squares (OPLS) framework to provide an efficient tool for the
 fusion of data obtained from multiple sources. The package enables quick and
 efficient implementation of the consensus OPLS model for any horizontal
 multi-block data structures (observation-based matching). Moreover, it
 offers an interesting range of metrics and graphics to help to determine the
 optimal number of components and check the validity of the model through
 permutation tests. Interpretation tools include score and loading plots,
 Variable Importance in Projection (VIP), functionality predict for SHAP
 computing, and performance coefficients such as R2, Q2, and DQ2
 coefficients.  J. Boccard and D.N. Rutledge (2013)
 <doi:10.1016/j.aca.2013.01.022>.

Package: r-cran-conserver
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-ggally, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-network, r-cran-rlang, r-cran-scales, r-cran-sna
Filename: pool/dists/focal/main/r-cran-conserver_1.0.4-1.ca2004.1_all.deb
Size: 177712
MD5sum: 93a1f23b1edcaadc8cee7d2b04eea0be
SHA1: 032dd001646d5d88f9e4319211a3f907531d00cf
SHA256: 83b9b3f14efa71dbee439243260a849470c4b0906a7e254557bcb2aa87f10f61
SHA512: bf88a226265ba29a73f8031213552689862705347f75b5668dc3022ee0369b841690026e2a1dedb0260d746d162e12c2b1e9556f01a26c604ab579b1f847e37c
Homepage: https://cran.r-project.org/package=conserveR
Description: CRAN Package 'conserveR' (Identifying Conservation Prioritization Methods Based on DataAvailability)
 Helping biologists to choose the most suitable approach to link their
 research to conservation. After answering few questions on the data
 available, geographic and taxonomic scope, 'conserveR' ranks existing
 methods for conservation prioritization and systematic conservation planning
 by suitability. The methods data base of 'conserveR' contains 133 methods
 for conservation prioritization based on a systematic review of > 12,000
 scientific publications from the fields of spatial conservation
 prioritization, systematic conservation planning, biogeography and ecology.

Package: r-cran-consibiocloudclient
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-magrittr
Suggests: r-cran-dotenv, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-consibiocloudclient_1.0.0-1.ca2004.1_all.deb
Size: 78140
MD5sum: fdaa47546f25d8ba9fabe9b5ce202386
SHA1: 71c9a67f13d88435092b9a6c814d07168315f716
SHA256: 2f3cb23e94eaac1144b0eeca1438eb1c76d6e0c5882e92c9899001ad960fc026
SHA512: 770359c64482d75b6925b6cd69e46723aade47c8acbd12ec924c0673804cb778c3b30616478b4bcad93521de95141c445df6a07c3360812102ac7b1cfc2fd930
Homepage: https://cran.r-project.org/package=consibiocloudclient
Description: CRAN Package 'consibiocloudclient' (A Client for the 'Consibio Cloud' API)
 Enable seamless interaction with 'Consibio Cloud' <https://consibio.cloud>
 'API' <https://api.v2.consibio.com/api-docs/>. This package provides tools
 to query data from resources like projects, elements, devices, and datalogs.

Package: r-cran-consolechoice
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-consolechoice_1.1.1-1.ca2004.1_all.deb
Size: 60512
MD5sum: d02c2d5834f572b3a158cccd354f422c
SHA1: c4254c03b3d252c96df81ec377e53ebb6073acfb
SHA256: 3ce87d4e7b72b5891a559a25424f4bc1b7e545e81bd4c6017c973315e04bc51f
SHA512: 9500885995affd3cf62a6be4ec44e2d130b7242d88033988c303a22c47d56aa008c1b58ec9ddcfdb61e4c82c152df5cbd8f4a4d18ecc4a26593e085caad3c4e9
Homepage: https://cran.r-project.org/package=consolechoice
Description: CRAN Package 'consolechoice' (An Easy and Quick Way to Loop a Character Vector as a Menu inthe Console)
 A fast way to loop a character vector or file names as a menu in the console
 for the user to choose an option.

Package: r-cran-consort
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2535
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-diagrammer, r-cran-rmarkdown, r-cran-covr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-consort_1.2.2-1.ca2004.1_all.deb
Size: 706436
MD5sum: f3793f018d11dc9d854daf61ed701e0d
SHA1: 45a0fb32b8d5ab8e062e1e4bcb423a87ddba629d
SHA256: 6947213f26c87529b6550ee37b792a800960c18ae2a89ef9d29e9d2192e06ccf
SHA512: 0eeadbf9532f18964c12ce55a51f6aacf3f884109c5ed64e435eca5892a73999ae6fed0e15b01193f79b1d9a0a7439f2a3f5f228d83134dc7e0a68c722e1c9a5
Homepage: https://cran.r-project.org/package=consort
Description: CRAN Package 'consort' (Create Consort Diagram)
 To make it easy to create CONSORT diagrams for the transparent reporting of
 participant allocation in randomized, controlled clinical trials. This is
 done by creating a standardized disposition data, and using this data as the
 source for the creation a standard CONSORT diagram. Human effort by
 supplying text labels on the node can also be achieved.

Package: r-cran-consortr
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagrammer, r-cran-shiny, r-cran-shinydashboard, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-magrittr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-consortr_0.9.1-1.ca2004.1_all.deb
Size: 32184
MD5sum: d0f61261065d425bb1624ea75c1da17c
SHA1: c1d704825c473a085ba117a1b033e1b9010be124
SHA256: 4420871b7f8ecfda6c935cb1bae69b82d94a52e26d79f71ceb237e5c4ddc2c93
SHA512: 76d1ab692682debb13b71b3edfab74509fd07bdc5a785479d0f80b81b948588eb6d5507a3da06f4de1c65ee3fc8be9e2a2c36ef35201cd16ff63f16e8705a67c
Homepage: https://cran.r-project.org/package=consortr
Description: CRAN Package 'consortr' (Interactive Consort Flow Diagrams)
 Shiny app for creating interactive consort flow diagrams and other types of
 flow diagrams, see Moher, Schulz and Altman (2001)
 <doi:10.1016/S0140-6736(00)04337-3>.

Package: r-cran-conspline
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coneproj
Filename: pool/dists/focal/main/r-cran-conspline_1.2-1.ca2004.1_all.deb
Size: 57932
MD5sum: 2c1f2f0a34b0307585f3d4ccaf5bcbc0
SHA1: b047c5dcfbc08da899a03cba910fa8df073321fa
SHA256: dd6b06d20bd2381eedc4042262389edc67feac2aec83607c3d3b744f544bc9a3
SHA512: 9e9510e45a9241e2abd837428f3ae798d763229384508ece1ecf255de04c570b46e0da1188e0179fe812fcaae1967a839d3cba4d33aae9008c5eadfcf0f22273
Homepage: https://cran.r-project.org/package=ConSpline
Description: CRAN Package 'ConSpline' (Partial Linear Least-Squares Regression using ConstrainedSplines)
 Given response y, continuous predictor x, and covariate matrix, the
 relationship between E(y) and x is estimated with a shape constrained
 regression spline.  Function outputs fits and various types of inference.

Package: r-cran-consrank
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-rlist, r-cran-proxy, r-cran-gtools, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-consrank_2.1.5-1.ca2004.1_all.deb
Size: 230436
MD5sum: be5ba6e7c294476082b2af97d1962a71
SHA1: 374c16cffd3bb0fe29f255df6d30549420e84b78
SHA256: 56e2236874e17a9b4f8b4bf09e9e896ecea1eb2e06a2fcd71bef58e6bbd1f7cb
SHA512: dff428c0fdbd55a5b92e592ba80c0cee26ef18b3b9be30e0e9daefc6d0e0bf7836f9817ee8cad344c051a07edd6e1ed9b65ba07e8f0b9a0e6ec8d81c36718cbc
Homepage: https://cran.r-project.org/package=ConsRank
Description: CRAN Package 'ConsRank' (Compute the Median Ranking(s) According to the Kemeny'sAxiomatic Approach)
 Compute the median ranking according to the Kemeny's axiomatic approach.
 Rankings can or cannot contain ties, rankings can be both complete or
 incomplete.  The package contains both branch-and-bound algorithms and
 heuristic solutions recently proposed.  The searching space of the solution
 can either be restricted to the universe of the permutations or unrestricted
 to all possible ties.  The package also provide some useful utilities for
 deal with preference rankings, including both element-weight Kemeny distance
 and correlation coefficient.  This release declare as deprecated some
 functions that are still in the package for compatibility. Next release will
 not contains these functions.  Please type '?ConsRank-deprecated' Essential
 references: Emond, E.J., and Mason, D.W. (2002) <doi:10.1002/mcda.313>;
 D'Ambrosio, A., Amodio, S., and Iorio, C. (2015)
 <doi:10.1285/i20705948v8n2p198>; Amodio, S., D'Ambrosio, A., and Siciliano
 R. (2016) <doi:10.1016/j.ejor.2015.08.048>; D'Ambrosio, A., Mazzeo, G.,
 Iorio, C., and Siciliano, R. (2017) <doi:10.1016/j.cor.2017.01.017>; Albano,
 A., and Plaia, A. (2021) <doi:10.1285/i20705948v14n1p117>.

Package: r-cran-consrankclass
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-consrank, r-cran-janitor, r-cran-pracma, r-cran-rlist, r-cran-proxy, r-cran-smacof, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-consrankclass_1.0.2-1.ca2004.1_all.deb
Size: 239876
MD5sum: 4f029192c2a201530a4c307c35eff1ae
SHA1: 1623936ffaaceeaaca7db38e0e0082677b4d1ce1
SHA256: 0a82a9a6f8f3ada6d4ab52367a0d9e324d2d3fbe7fab726cc96673d22f79da2a
SHA512: 8561c11b3c950baf57273247372587b4c1055a288d9ae63b786dafa95644e9be74d95a22c657a026677f5b0ddb3cdef458238b39fdd1037170b1bc8323871c85
Homepage: https://cran.r-project.org/package=ConsRankClass
Description: CRAN Package 'ConsRankClass' (Classification and Clustering of Preference Rankings)
 Tree-based classification and soft-clustering method for preference
 rankings, with tools for external validation of fuzzy clustering, and
 Kemeny-equivalent augmented unfolding.  It contains the recursive
 partitioning algorithm for preference rankings, non-parametric tree-based
 method for a matrix of preference rankings as a response variable. It
 contains also the distribution-free soft clustering method for preference
 rankings, namely the K-median cluster component analysis (CCA).  The package
 depends on the 'ConsRank' R package.  Options for validate the tree-based
 method are both test-set procedure and V-fold cross validation.  The package
 contains the routines to compute the adjusted concordance index (a fuzzy
 version of the adjusted rand index) and the normalized degree of concordance
 (the corresponding fuzzy version of the rand index).  The package also
 contains routines to perform the Kemeny-equivalent augmented unfolding. The
 mds endine is the function 'sacofSym' from the package 'smacof'.  Essential
 references: D'Ambrosio, A., Vera, J.F., and Heiser, W.J. (2021)
 <doi:10.1080/00273171.2021.1899892>; D'Ambrosio, A., Amodio, S., Iorio, C.,
 Pandolfo, G., and Siciliano, R. (2021) <doi:10.1007/s00357-020-09367-0>;
 D'Ambrosio, A., and Heiser, W.J. (2019) <doi:10.1007/s41237-018-0069-5>;
 D'Ambrosio, A., and Heiser W.J. (2016) <doi:10.1007/s11336-016-9505-1>;
 Hullermeier, E., Rifqi, M., Henzgen, S., and Senge, R. (2012)
 <doi:10.1109/TFUZZ.2011.2179303>; Marden, J.J. <ISBN:0412995212>.

Package: r-cran-consrq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-rfast
Suggests: r-cran-rfast2, r-cran-cols
Filename: pool/dists/focal/main/r-cran-consrq_1.0-1.ca2004.1_all.deb
Size: 30260
MD5sum: b92eb55ad862a7bf42c03649418856d0
SHA1: a1c18cacab586e622ca19578c448c7cb8a664589
SHA256: 921f335d28900dfe5d5b0044503c07c82350991c99ad9cfa8fb093795c5225e7
SHA512: a6c31025f317eeca4ad8a0be790216f32f9cd34658d2d4d36224b289511422bb35652dd60c3d94a8b957f233027b50c402a518f6399f84c3819e01246a57074e
Homepage: https://cran.r-project.org/package=consrq
Description: CRAN Package 'consrq' (Constrained Quantile Regression)
 Constrained quantile regression is performed. One constraint is that all
 beta coefficients (including the constant) cannot be negative, they can be
 either 0 or strictly positive. Another constraint is that the beta
 coefficients lie within an interval. References: Koenker R. (2005) Quantile
 Regression, Cambridge University Press. <doi:10.1017/CBO9780511754098>.

Package: r-cran-constants
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-errors, r-cran-units, r-cran-quantities, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-constants_1.0.1-1.ca2004.1_all.deb
Size: 109908
MD5sum: 8ccff34a4542293c941dcc2224030087
SHA1: 7204563f651b22e18bf5c9af3f9cace162368a0f
SHA256: b3288db2ce5274472eb8eed25417fdd8fc9b289a0910eadfdc62fd3ef1c53dab
SHA512: 15d83afa5b0bcf3a674dd20715fa072fef4c7e87156a59e002b694bdcb228c7a0553840a53ea71d00fdaf519fb1aa466c7d97a627fc5eacc47365a6e5161f6fc
Homepage: https://cran.r-project.org/package=constants
Description: CRAN Package 'constants' (Reference on Constants, Units and Uncertainty)
 CODATA internationally recommended values of the fundamental physical
 constants, provided as symbols for direct use within the R language.
 Optionally, the values with uncertainties and/or units are also provided if
 the 'errors', 'units' and/or 'quantities' packages are installed.  The
 Committee on Data for Science and Technology (CODATA) is an
 interdisciplinary committee of the International Council for Science which
 periodically provides the internationally accepted set of values of the
 fundamental physical constants. This package contains the "2018 CODATA"
 version, published on May 2019: Eite Tiesinga, Peter J. Mohr, David B.
 Newell, and Barry N. Taylor (2020)
 <https://physics.nist.gov/cuu/Constants/>.

Package: r-cran-constellation
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-constellation_0.2.0-1.ca2004.1_all.deb
Size: 565992
MD5sum: 4a24ae9d1121a1599ddb7643a3809a41
SHA1: d7803ec69a5c1a9bb59c44f200ae387620a00b2b
SHA256: cb1c930d7b3834edee568d481f5ac6ed105d11e9bae9c4bd44820a8de5c9f8f0
SHA512: 337fff4e4fcf3d0d99b8be8b558e15441d79223d03e7ac896a6dba9f8e78d4e8509899b879fb35d56cb8dcb2080360794196d676c9605dc3d405c05e9c959212
Homepage: https://cran.r-project.org/package=constellation
Description: CRAN Package 'constellation' (Identify Event Sequences Using Time Series Joins)
 Examine any number of time series data frames to identify instances in which
 various criteria are met within specified time frames. In clinical medicine,
 these types of events are often called "constellations of signs and
 symptoms", because a single condition depends on a series of events
 occurring within a certain amount of time of each other. This package was
 written to work with any number of time series data frames and is optimized
 for speed to work well with data frames with millions of rows.

Package: r-cran-contact
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-igraph, r-cran-lubridate, r-cran-raster, r-cran-rgdal, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-contact_1.2.8-1.ca2004.1_all.deb
Size: 2989124
MD5sum: 0e05bcb193ebcff23f124a2642345b03
SHA1: 7f92ac80e9a13ed4e929b5baf161937a2f8bb404
SHA256: eba41147550392b85842f4fe00a7296e3d93ea6c189b091923fd49ae6bd1b1a0
SHA512: 41a090ed73f76d858c9319e3bb254484cbba104ad98a5e69c7d03c35ff1a726e8e8143b6da72853245bf3b53f4c27acb3cdda275b79b79c782e8551f6ee5beaa
Homepage: https://cran.r-project.org/package=contact
Description: CRAN Package 'contact' (Creating Contact and Social Networks)
 Process spatially- and temporally-discrete data into contact and social
 networks, and facilitate network analysis by randomizing individuals'
 movement paths and/or related categorical variables. To use this package,
 users need only have a dataset containing spatial data (i.e.,
 latitude/longitude, or planar x & y coordinates), individual IDs relating
 spatial data to specific individuals, and date/time information relating
 spatial locations to temporal locations. The functionality of this package
 ranges from data "cleaning" via multiple filtration functions, to spatial
 and temporal data interpolation, and network creation and analysis.
 Functions within this package are not limited to describing interpersonal
 contacts. Package functions can also identify and quantify "contacts"
 between individuals and fixed areas (e.g., home ranges, water bodies,
 buildings, etc.). As such, this package is an incredibly useful resource for
 facilitating epidemiological, ecological, ethological and sociological
 research.

Package: r-cran-contactdata
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4224
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-countrycode, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-contactdata_1.1.0-1.ca2004.1_all.deb
Size: 4146560
MD5sum: d86a444b170108e7f3068e3d0cd51bca
SHA1: d99f58f7d079c9622884bf7ad898cb2d4606097e
SHA256: 4d958c40ae0728bca8856bdae906419dc3501b7f52f9aabccfc992d034a98a92
SHA512: e6264ab8661e335bf4c016df081a1d696c852c7f5b13eb89df653c54120aed7d9912cd474de7df9a5e5f9ac2f143fe813128f39bad2043e0a2db7e04aa2bcf9a
Homepage: https://cran.r-project.org/package=contactdata
Description: CRAN Package 'contactdata' (Social Contact Matrices for 177 Countries)
 Data package for the supplementary data in Prem et al. (2017)
 <doi:10.1371/journal.pcbi.1005697> and Prem et al.
 <doi:10.1371/journal.pcbi.1009098>.  Provides easy access to contact data
 for 177 countries, for use in epidemiological, demographic or social
 sciences research.

Package: r-cran-container
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-r6
Suggests: r-cran-knitr, r-cran-tinytest, r-cran-rmarkdown, r-cran-microbenchmark, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-container_1.0.5-1.ca2004.1_all.deb
Size: 870800
MD5sum: 6bee71f664c9108e739a2ef3910d51b6
SHA1: 40570bbd7b80ddf8caff021a755c313f5ed5af8f
SHA256: b0d6c0c8dc34f72f500ead7619260f9d8fb600b64403aef7757bd5d3dd4bd70d
SHA512: 25db33d1dc2c5c6ce9920cb58e04594730408fbfa3c2bf8fd85bfc2530322b070855c86dd9461211b12897505918c1dfac9f6a881c43151e2739679730911887
Homepage: https://cran.r-project.org/package=container
Description: CRAN Package 'container' (Extending Base 'R' Lists)
 Extends the functionality of base 'R' lists and provides specialized data
 structures 'deque', 'set', 'dict', and 'dict.table', the latter to extend
 the 'data.table' package.

Package: r-cran-contentid
Architecture: all
Version: 0.0.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openssl, r-cran-httr, r-cran-curl, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-thor, r-cran-vroom, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-contentid_0.0.19-1.ca2004.1_all.deb
Size: 153568
MD5sum: 66c8f2a232251792e01a9880a4155e65
SHA1: 6713c55f46d03c37f67bf9ca65a7eacb70d995cb
SHA256: eb71390d393f56c1fa6316f735ff190ba8a13c12f041aa106f9c3f62f5dd5cfc
SHA512: 604c7513f7d0543d8cf4d0e81d177df00b253dc3fb9d72a0d1a9863e7be3334a833253d1cc1cff6b64cb7d300fa461166950ea1c44aa7817e955aaaa74190fb2
Homepage: https://cran.r-project.org/package=contentid
Description: CRAN Package 'contentid' (An Interface for Content-Based Identifiers)
 An interface for creating, registering, and resolving content-based
 identifiers for data management. Content-based identifiers rely on the
 'cryptographic' hashes to refer to the files they identify, thus, anyone
 possessing the file can compute the identifier using a well-known standard
 algorithm, such as 'SHA256'.  By registering a URL at which the content is
 accessible to a public archive (such as Hash Archive) or depositing data in
 a scientific repository such 'Zenodo', 'DataONE' or 'SoftwareHeritage', the
 content identifier can serve many functions typically associated with A
 Digital Object Identifier ('DOI').  Unlike location-based identifiers like
 'DOIs', content-based identifiers permit the same content to be registered
 in many locations.

Package: r-cran-context
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3934
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-quanteda, r-cran-text2vec, r-cran-reshape2, r-cran-fastdummies, r-cran-stringr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-snowballc, r-cran-hunspell, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-context_1.4.3-1.ca2004.1_all.deb
Size: 2739456
MD5sum: 973bd349c7baf9bb78b0e98f1ca7e818
SHA1: 13c313ae1b1acd1ea4079ca4aa62d9638bf1604b
SHA256: ac483aca2f0dc0406caa0055004f94dde2066bfa40de71dd9cbccc1dd4070651
SHA512: 49c34c0b636f35761846a39aea7c5a9b9bd363615d75f1190f2cf22b15d9612f2eb33b9de46cabb9df4455982ba8420c33bcbe67b3cde47c5366d1c0762b9ea9
Homepage: https://cran.r-project.org/package=conText
Description: CRAN Package 'conText' ('a la Carte' on Text (ConText) Embedding Regression)
 A fast, flexible and transparent framework to estimate context-specific word
 and short document embeddings using the 'a la carte' embeddings approach
 developed by Khodak et al. (2018) <arXiv:1805.05388> and evaluate hypotheses
 about covariate effects on embeddings using the regression framework
 developed by Rodriguez et al.
 (2021)<https://github.com/prodriguezsosa/EmbeddingRegression>.

Package: r-cran-contfracr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmpfr, r-cran-go2bigq, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-contfracr_1.2.1-1.ca2004.1_all.deb
Size: 69104
MD5sum: 074cab71e19495e1127d7e2d1df82539
SHA1: 1ff9795573688507ff1e61a4b6fbc642d2d3b291
SHA256: b3a15edac67405446d10b2f19e523197a15fcc355bb781b6393d79897c86f431
SHA512: 3b1752ceb5a92c7ff79e37971950d6eac79d44cee02622977f3afe2fe51471996172944d2bc328d6f503339f5cb827323ba3e6462f3d42807536651d108e15b5
Homepage: https://cran.r-project.org/package=contFracR
Description: CRAN Package 'contFracR' (Continued Fraction Generators and Evaluators)
 Converts numbers to continued fractions and back again. A solver for Pell's
 Equation is provided.  The method for calculating roots in continued
 fraction form is provided without published attribution in such places as
 Professor Emeritus Jonathan Lubin, <http://www.math.brown.edu/jlubin/> and
 his post to StackOverflow,
 <https://math.stackexchange.com/questions/2215918> , or Professor Ron Knott,
 e.g., <https://r-knott.surrey.ac.uk/Fibonacci/cfINTRO.html> .

Package: r-cran-conting
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-bms, r-cran-gtools, r-cran-tseries, r-cran-coda
Filename: pool/dists/focal/main/r-cran-conting_1.7-1.ca2004.1_all.deb
Size: 275996
MD5sum: 22eba4eae4e1b68479d55450c632d5c2
SHA1: f6e6b7579d014098bf7c527c9f4930db9bea8959
SHA256: 90bf4b41f3ba3d9cd5f1103a85e32d30d75a5af1bf8d1c82a18f7ce90ca9f072
SHA512: 5a39caaa33278df827b3a82ab5a47e5d975e4af5c6e7754b817be17e44c9a6d57374b61af49b2f2ec26bfb80590212500d866d334aa26254cdb3fed649a3326f
Homepage: https://cran.r-project.org/package=conting
Description: CRAN Package 'conting' (Bayesian Analysis of Contingency Tables)
 Bayesian analysis of complete and incomplete contingency tables.

Package: r-cran-contingency
Architecture: all
Version: 0.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rje
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-contingency_0.0.10-1.ca2004.1_all.deb
Size: 89340
MD5sum: e9353460b0c9449b7b32626ec19bf6a9
SHA1: 1a6d4c1f6e4684868aee4c48bc436cac55faae26
SHA256: aaf2139fa14d6935a48a893484b3dbb76997bc4db4f03595541c53e20daf0d2d
SHA512: bea697042d8d373df134a7f583174190439d17be7c440462fc588622f698796863a1560f182c87605d97dd20707b349bca81da18d6810df1765eaa85832d4e61
Homepage: https://cran.r-project.org/package=contingency
Description: CRAN Package 'contingency' (Discrete Multivariate Probability Distributions)
 Provides an object class for dealing with many multivariate probability
 distributions at once, useful for simulation.

Package: r-cran-contingencytables
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 942
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-boot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-contingencytables_3.0.1-1.ca2004.1_all.deb
Size: 835156
MD5sum: a4804224658f78fd72fdb8675b2138bc
SHA1: 5bb641287acb26b7c4d3dd5bceac6751c4ea0319
SHA256: 086cfdc306afe5af5be253d4927cf09044a488c58664f585a10013cc121656bd
SHA512: dec101baf8e182df8309a9b8a6a04a22516909a475cd15ad3b6b4af23f51c2043ff4064e17407a64c5ff5309ec34ae746b85e1825f41f01c7a2c0a2624b191da
Homepage: https://cran.r-project.org/package=contingencytables
Description: CRAN Package 'contingencytables' (Statistical Analysis of Contingency Tables)
 Provides functions to perform statistical inference of data organized in
 contingency tables. This package is a companion to the "Statistical Analysis
 of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

Package: r-cran-contourfunctions
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 633
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lhs, r-cran-rmarkdown, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-lagp, r-cran-locfit, r-cran-mgcv, r-cran-mlegp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-contourfunctions_0.1.2-1.ca2004.1_all.deb
Size: 338732
MD5sum: 518659ca130db1823734b993cf04d59d
SHA1: 368a343bf41d2dc5ea4e1d7134335e636e12f8e9
SHA256: efb5c57f0c11d6510367397787ed725f36764582739802c87f9b1d956b0b68f8
SHA512: d30ef95114f66e46b02bc5d74b6b1525d361f167391664827666b5935a74c5e8cb3027959d1e11b355190753df75c1c33dd23685c9a0e4734bf159baab5ac3e9
Homepage: https://cran.r-project.org/package=ContourFunctions
Description: CRAN Package 'ContourFunctions' (Create Contour Plots from Data or a Function)
 Provides functions for making contour plots.  The contour plot can be
 created from grid data, a function, or a data set. If non-grid data is
 given, then a Gaussian process is fit to the data and used to create the
 contour plot.

Package: r-cran-contourplot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-interp, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-contourplot_0.2.0-1.ca2004.1_all.deb
Size: 23508
MD5sum: abdba370c863a74ec4ce823909f16872
SHA1: 590a085074cdfea884e0ffb4f6121ca7a53230fb
SHA256: b918ae00b20edf6df5f5ec34bdf255b7263fb9602a1702ee88947e03786612e6
SHA512: 14221e96fc1e2b21ecde301ffdd5123ea8e444954305d241d3c2dee42c19749839973411c24e333b9088106fe9ad47591ed71a4faf592dc31ec6b1d4a5b2d904
Homepage: https://cran.r-project.org/package=contourPlot
Description: CRAN Package 'contourPlot' (Plots x,y,z Co-Ordinates in a Contour Map)
 Plots a set of x,y,z co-ordinates in a contour map. Designed to be similar
 to plots in base R so additional elements can be added using lines(),
 points() etc. This package is intended to be better suited, than existing
 packages, to displaying circular shaped plots such as those often seen in
 the semi-conductor industry.

Package: r-cran-contrast
Architecture: all
Version: 0.24.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlme, r-cran-sandwich, r-cran-rms
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-contrast_0.24.2-1.ca2004.1_all.deb
Size: 135612
MD5sum: 69b8e64a6c9fca16435e8202df96747b
SHA1: 95c6d13197e64f20c40ce7becf0c0fd74f9884e8
SHA256: 7bea4f051dee54e006f3665b4ddcde48969f0cfb1575db132c589a4e62712547
SHA512: 0bbe28402622cb8f98ff7f32dd845eb52adea5243a27e65aca10f4e779e3cb1199f59583e6d3b1013bf96765b40471e41beb4077279372f1200ee20ed613298a
Homepage: https://cran.r-project.org/package=contrast
Description: CRAN Package 'contrast' (A Collection of Contrast Methods)
 One degree of freedom contrasts for 'lm', 'glm', 'gls', and 'geese' objects.

Package: r-cran-contrastable
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-glue, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-testthat, r-cran-roxygen2, r-cran-rmarkdown, r-cran-covr, r-cran-hypr
Filename: pool/dists/focal/main/r-cran-contrastable_1.0.2-1.ca2004.1_all.deb
Size: 247396
MD5sum: a8d22a5f1901ad060686bac1d625bf35
SHA1: 475d7df92c8e80d1f54ea3a53f57e4ca774e5a0a
SHA256: 5e8fe9bf8a39fc90e5373b866d33ed9d06d69375889038fe5c4ad807d50d4dc5
SHA512: 07269d46196c99203f18715ffd6228f56908c27f6156c7e7495cae95e866bb101d2effd455f0e0dbe876b8720f29e4a9b9192a7f2d16e08f05d60624f50fe61e
Homepage: https://cran.r-project.org/package=contrastable
Description: CRAN Package 'contrastable' (Consistent Contrast Coding for Factors)
 Quickly set and summarize contrasts for factors prior to regression
 analyses. Intended comparisons, baseline conditions, and intercepts can be
 explicitly set and documented without the user needing to directly
 manipulate matrices. Reviews and introductions for contrast coding are
 available in Brehm and Alday (2022)<doi:10.1016/j.jml.2022.104334> and Schad
 et al. (2020)<doi:10.1016/j.jml.2019.104038>.

Package: r-cran-contresppp
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2411
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-rjags, r-cran-coda, r-cran-knitr, r-cran-devtools, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-contresppp_0.4.2-1.ca2004.1_all.deb
Size: 2376200
MD5sum: 409550283830e1cb652226c1b10534e3
SHA1: 82c7f28952ef4dbc64edf35c3f884ba45b900065
SHA256: b6b8c41cd521e299450fe1d1dc40a14276ba9f9f5aa3d107c66febf28a02ed91
SHA512: 501f4f0b8ee6ea3c089d9483f148269f0dd46707172413dbcea52de2f9b27d5ba14e5c04dd54a5db002d2860435dd1cbcf4b2ddca88758a1098d4912d8d1ce69
Homepage: https://cran.r-project.org/package=ContRespPP
Description: CRAN Package 'ContRespPP' (Predictive Probability for a Continuous Response with an ANOVAStructure)
 A Bayesian approach to using predictive probability in an ANOVA construct
 with a continuous normal response, when threshold values must be obtained
 for the question of interest to be evaluated as successful (Sieck and
 Christensen (2021) <doi:10.1002/qre.2802>).  The Bayesian Mission Mean (BMM)
 is used to evaluate a question of interest (that is, a mean that randomly
 selects combination of factor levels based on their probability of occurring
 instead of averaging over the factor levels, as in the grand mean). Under
 this construct, in contrast to a Gibbs sampler (or Metropolis-within-Gibbs
 sampler), a two-stage sampling method is required. The nested sampler
 determines the conditional posterior distribution of the model parameters,
 given Y, and the outside sampler determines the marginal posterior
 distribution of Y (also commonly called the predictive distribution for Y).
 This approach provides a sample from the joint posterior distribution of Y
 and the model parameters, while also accounting for the threshold value that
 must be obtained in order for the question of interest to be evaluated as
 successful.

Package: r-cran-contribution
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-rlang, r-cran-magrittr, r-cran-gh
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-contribution_0.2.2-1.ca2004.1_all.deb
Size: 269992
MD5sum: a348a505bca8ad48f5db3281ef272aa7
SHA1: 4ecf77018d85bd49788d6143ed7927a36908e74e
SHA256: bd069c639d8ba2c488faedbcc70aa777864b6c6cd47e7f1b3960b11704c53d62
SHA512: 39ada575b1e0649f4fc9d9fce0d11054141bbeb91f68825082b879da6be0b50eb996a47d94cfc9a9c9948e0870fb7c2e24165aeca0c85272f35b053cc8ad6c2f
Homepage: https://cran.r-project.org/package=contribution
Description: CRAN Package 'contribution' (A Tiny Contribution Table Generator Based on 'ggplot2')
 Contribution table for credit assignment based on 'ggplot2'.  This can
 improve the author contribution information in academic journals and
 personal CV.

Package: r-cran-control
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-expm, r-cran-signal, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-control_0.2.5-1.ca2004.1_all.deb
Size: 229240
MD5sum: 7bf9e63e107d672a87b073df68ef0281
SHA1: d4749ba1766fa89b940ec2995414978f810324e7
SHA256: 208ed044c6cf32a88ad059de545d86da581c44184a311fc7aa5079ad6311a0f0
SHA512: 14b4ce64d6d2b8ffaaf893d6e58bfeb5f9de0d3009daeb6f9cdeb278ebb55b3a857f5cc341537ab25402238044e05df4bb2a1e0bfdee78d0bceeb282888b4b08
Homepage: https://cran.r-project.org/package=control
Description: CRAN Package 'control' (A Control Systems Toolbox)
 Solves control systems problems relating to time/frequency response, LTI
 systems design and analysis, transfer function manipulations, and system
 conversion.

Package: r-cran-controlfunctioniv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dr, r-cran-orthodr, r-cran-aer, r-cran-formula
Filename: pool/dists/focal/main/r-cran-controlfunctioniv_0.1.1-1.ca2004.1_all.deb
Size: 134808
MD5sum: 7c534730b994f70cbd94443c66d6779b
SHA1: fad84f25dc56f644d08cb77e5fe854f18ab8b015
SHA256: 16f5cd0c154e487fb9d81aa27427076f5bcfaf889cc29a5e0be6c80994819d4e
SHA512: 802f5cd7eee689d9231d8ce098ea172f29fc5903332a5473dab02d63090ef758d45d990a36098470bdabdb441ad749197d79b17f5ca5182dafe89d1f01d7619e
Homepage: https://cran.r-project.org/package=controlfunctionIV
Description: CRAN Package 'controlfunctionIV' (Control Function Methods with Possibly Invalid InstrumentalVariables)
 Inference with control function methods for nonlinear outcome models when
 the model is known ('Guo and Small' (2016) <arXiv:1602.01051>) and when
 unknown but semiparametric ('Li and Guo' (2021) <arXiv:2010.09922>).

Package: r-cran-controltest
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-controltest_1.1.0-1.ca2004.1_all.deb
Size: 21296
MD5sum: 3594a48a4ef2e1efa6ac33f765908730
SHA1: 3f16ef6bd959158c7727f3d89732107549fc4274
SHA256: 8e93500229ba8959c882a98a144ae0a9a375815e3316424bf2740044a20d2414
SHA512: b9b75d59cb70b569e9864b429aabb1a88639f6b0d0eac5e0394a2f4136eaa5b341a6454d77bb41c5320e119994546596f754d6abd10d44ec443c6e5e3a45fa7c
Homepage: https://cran.r-project.org/package=controlTest
Description: CRAN Package 'controlTest' (Quantile Comparison for Two-Sample Right-Censored Survival Data)
 Nonparametric two-sample procedure for comparing survival quantiles.

Package: r-cran-contsurvplot
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1214
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rlang, r-cran-riskregression, r-cran-foreach
Suggests: r-cran-survival, r-cran-pammtools, r-cran-gganimate, r-cran-transformr, r-cran-plotly, r-cran-reshape2, r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-contsurvplot_0.2.1-1.ca2004.1_all.deb
Size: 962480
MD5sum: ae1bec6b15f637e1e0ed88157b6c111f
SHA1: a9eacdd2e3475489bb043f961eb093a6cea164dd
SHA256: f2a15454ae0881aaa9198b495d880829661b80d5ae145ca5083516ff4fc33c98
SHA512: 8679ab5b5c274d905a37b11e226217c65342dcf77a0e052e34af21516a35347368bc0233cdaf032a0317d74ec03d2ba38a22697ff3fd80eb380c6e62e7a8753c
Homepage: https://cran.r-project.org/package=contsurvplot
Description: CRAN Package 'contsurvplot' (Visualize the Effect of a Continuous Variable on a Time-to-EventOutcome)
 Graphically display the (causal) effect of a continuous variable on a
 time-to-event outcome using multiple different types of plots based on
 g-computation. Those functions include, among others, survival area plots,
 survival contour plots, survival quantile plots and 3D surface plots. Due to
 the use of g-computation, all plot allow confounder-adjustment naturally.
 For details, see Robin Denz, Nina Timmesfeld (2023)
 <doi:10.1097/EDE.0000000000001630>.

Package: r-cran-conttimecausal
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-survival, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-conttimecausal_1.1-1.ca2004.1_all.deb
Size: 339628
MD5sum: ed7e3087587c54ddd72cafdee058df59
SHA1: 9b317b31319415f48cf678f6a86d9968603cfdd0
SHA256: da73042d422dc775d7f04cd3bb45cfe86abd9bf8fa0ac7058c5ac783e8ed181b
SHA512: 6dd78444b979c50be596017ac66e750f88036ff37435394e1980e3fd096794f56f5ba9f7b4a19ff621c33119cc590d46b896415acf2a0f54e3c2f600a9637639
Homepage: https://cran.r-project.org/package=contTimeCausal
Description: CRAN Package 'contTimeCausal' (Continuous Time Causal Models)
 Implements the semiparametric efficient estimators of continuous-time causal
 models for time-varying treatments and confounders in the presence of
 dependent censoring (including structural failure time model and Cox
 proportional hazards marginal structural model).  S. Yang, K. Pieper, and F.
 Cools (2019) <doi:10.1111/biom.12845>.

Package: r-cran-convdistr
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pryr, r-cran-extradistr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-shelf, r-cran-mass, r-cran-shiny
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-convdistr_1.6.2-1.ca2004.1_all.deb
Size: 322864
MD5sum: f075db1f62c5a4c95e10b60b9d87060c
SHA1: c674124b549bbcee820dd69927b9de4257e8bba3
SHA256: 2efd69211c4bd89598c9a01545c07c30041eb572379ecde21e681e1558e2874d
SHA512: 04c8942fd4c442ae35287fbbb2cf74dcb912b6c86d2dbf81b53fd34b4e37de0ecf3c73748018cafebd90e456753ab3d8292be66aebbd08ac3f39383c253947da
Homepage: https://cran.r-project.org/package=convdistr
Description: CRAN Package 'convdistr' (Convolute Probabilistic Distributions)
 Convolute probabilistic distributions using the random generator function of
 each distribution. A new random number generator function is created that
 perform the mathematical operation on the individual random samples from the
 random generator function of each distribution. See the documentation for
 examples.

Package: r-cran-convergenceclubs
Architecture: all
Version: 2.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lmtest, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-convergenceclubs_2.2.5-1.ca2004.1_all.deb
Size: 185408
MD5sum: 8ed4cb4580b80cf824f5c36693c5cd49
SHA1: cc926134f1f3e9ec3ab751d424debbdf63b62f6d
SHA256: 446a0b13f8d91c2cfdd75aa165d0e5e902aedfe04b6b973c8159af25aa045bda
SHA512: fde2b0edf026a1990025922b78c131fab4d8cca21a299c8f85c0858ea861a0de87da04e61b4f74d9217f16c1d1f311d0169d0c01d814381776ff879204d7e84a
Homepage: https://cran.r-project.org/package=ConvergenceClubs
Description: CRAN Package 'ConvergenceClubs' (Finding Convergence Clubs)
 Functions for clustering regions that form convergence clubs, according to
 the definition of Phillips and Sul (2009) <doi:10.1002/jae.1080>. A package
 description is available in Sichera and Pizzuto (2019).

Package: r-cran-convergenceconcepts
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tkrplot, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-convergenceconcepts_1.2.3-1.ca2004.1_all.deb
Size: 84328
MD5sum: 16c1bbecbc8b2e55ad5ff807b6a49887
SHA1: 798ca5b27dc70b4668dfe4303f55b8c60cb7148c
SHA256: 7790c77c1e3f7a48d365b9be33891f325fba651907dd2135c08c0c6c55203c50
SHA512: 61c1b87a62f88f42d2d7d169a948677cbf050a953efec89ce4706fb7bfcc4abada04ddd43fd16a512add1b955d767be2a0b35cd711b113b9919c603a5a13c7ff
Homepage: https://cran.r-project.org/package=ConvergenceConcepts
Description: CRAN Package 'ConvergenceConcepts' (Seeing Convergence Concepts in Action)
 This is a pedagogical package, designed to help students understanding
 convergence of random variables. It provides a way to investigate
 interactively various modes of convergence (in probability, almost surely,
 in law and in mean) of a sequence of i.i.d.  random variables. Visualisation
 of simulated sample paths is possible through interactive plots. The
 approach is illustrated by examples and exercises through the function
 'investigate', as described in Lafaye de Micheaux and Liquet (2009)
 <doi:10.1198/tas.2009.0032>.  The user can study his/her own sequences of
 random variables.

Package: r-cran-convergeu
Architecture: all
Version: 0.7.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4794
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-ggplot2, r-cran-eurostat, r-cran-tidyr, r-cran-rlang, r-cran-purrr, r-cran-catools, r-cran-broom, r-cran-stringr, r-cran-rmarkdown, r-cran-ggpubr, r-cran-leaflet, r-cran-tidyselect
Suggests: r-cran-devtools, r-cran-formattable, r-cran-gridextra, r-cran-knitr, r-cran-kableextra, r-cran-magrittr, r-cran-readr, r-cran-readxl, r-cran-tidyverse, r-cran-rvest, r-cran-testthat, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-convergeu_0.7.3.2-1.ca2004.1_all.deb
Size: 2936384
MD5sum: bd9ceeb6d302debdb17a56ab783d6243
SHA1: 8274212ed304421c022065c0b339f628a2938f48
SHA256: 69545e01ae4a5a199521280c239d9b59c7710de0b162c81d217e449c42ef7b98
SHA512: 33abb2ee312853c6cfeec08005812ac58b7ea45b62003f961a826e70f8c3e9ba926141309614348338fdf9a70e1dd8bddd74f3dd0d4ae43051bdd8d8a8a6ea90
Homepage: https://cran.r-project.org/package=convergEU
Description: CRAN Package 'convergEU' (Monitoring Convergence of EU Countries)
 Indicators and measures by country and time describe what happens at
 economic and social levels. This package provides functions to calculate
 several measures of convergence after imputing missing values. The automated
 downloading of Eurostat data, followed by the production of country fiches
 and indicator fiches, makes possible to produce automated reports.  The
 Eurofound report (<doi:10.2806/68012>) "Upward convergence in the EU:
 Concepts, measurements and indicators", 2018, is a detailed presentation of
 convergence.

Package: r-cran-conversim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3368
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tm, r-cran-lsa, r-cran-topicmodels, r-cran-sentimentr, r-cran-word2vec, r-cran-lme4, r-cran-slam, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-conversim_0.1.0-1.ca2004.1_all.deb
Size: 1443076
MD5sum: ef22047817cbd6cabaface7dbf49fa50
SHA1: ba4d55f801f065cc5f164eb3ab29795bbed11454
SHA256: 1f433be9c4228a5475f8c087b3367fc523b0cf4bdb985a6a5793c5f351a8e306
SHA512: 1faf3dffa936150d5ab1ad86b21acd04c2861a0d0316d8ab839cc7be90bcd7668bdee1ede0177950f4f75da9bea66d9f1d990b2085085f37a3d61735652b592f
Homepage: https://cran.r-project.org/package=conversim
Description: CRAN Package 'conversim' (Conversation Similarity Analysis)
 Analyze and compare conversations using various similarity measures
 including topic, lexical, semantic, structural, stylistic, sentiment,
 participant, and timing similarities. Supports both pairwise conversation
 comparisons and analysis of multiple dyads. Methods are based on established
 research: Topic modeling: Blei et al. (2003)
 <doi:10.1162/jmlr.2003.3.4-5.993>; Landauer et al. (1998)
 <doi:10.1080/01638539809545028>; Lexical similarity: Jaccard (1912)
 <doi:10.1111/j.1469-8137.1912.tb05611.x>; Semantic similarity: Salton &
 Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>; Mikolov et al. (2013)
 <doi:10.48550/arXiv.1301.3781>; Pennington et al. (2014)
 <doi:10.3115/v1/D14-1162>; Structural and stylistic analysis: Graesser et
 al. (2004) <doi:10.1075/target.21131.ryu>; Sentiment analysis: Rinker (2019)
 <https://github.com/trinker/sentimentr>.

Package: r-cran-convertbcd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmpfr, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-convertbcd_1.0-1.ca2004.1_all.deb
Size: 20568
MD5sum: 7dd12e1e1f39d281eba8c200d5edbff3
SHA1: f1a4b0417e3033b704b184be3f8769b707c5c7c2
SHA256: bfc6b03bfc82dbd7a004ef0cc58b91594b60030b8afd43c73f0f3376487dc3c4
SHA512: 5fc4b02b640e37f4aa90370965e7895e150eafed01d854b64ecf83301a06b932767c867e35a97c8223c15b37b96250d085d1b80353344928a0e38098bfa0de70
Homepage: https://cran.r-project.org/package=convertBCD
Description: CRAN Package 'convertBCD' (Convert Decimal to Binary-Coded Decimal (BCD) Form and ViceVersa)
 Convert BCD (raw bytes) to decimal numbers and vice versa. BCD format is
 used to preserve decimals exactly, as opposed to the binary rounding errors
 inherent in "numeric" or "floating-point" formats.

Package: r-cran-convertbonds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-convertbonds_0.1.0-1.ca2004.1_all.deb
Size: 17852
MD5sum: 4f15b002a1b24b83ae1a6a1be37fc75c
SHA1: 76f56b2b0a721a7d1345c5cf6f2b1b18b95294b1
SHA256: 5ab48883a86d2549475a441c77f1444fac03568fa9b194b4b1185f633904b836
SHA512: 56b96625e8c89356b49aac21d794555f847d416783678e65afd3f4296959c6641c4eb6e6332cc5733ec5335b59b6f49cc2d97b7974d585aba7c528e747761cbd
Homepage: https://cran.r-project.org/package=convertbonds
Description: CRAN Package 'convertbonds' (Use the Given Parameters to Calculate the European Option Value)
 Calculate the theoretical value of convertible bonds by given parameters,
 including B-S theory and Monte Carlo method.

Package: r-cran-convertgraph
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-convertgraph_0.1-1.ca2004.1_all.deb
Size: 16100
MD5sum: e516ae97f579a67fa456b951419907b4
SHA1: 4b6858b54fcf8ac0641f2aed8628ba3061b6b101
SHA256: 92cdf6a7841399c206320d2e05d61d63dbda10ac08a246e8309aaba7bea2ba4b
SHA512: e86e8b9aa97a672c68bc8ce9525daa854f58ede819ed9a0ed7286d4172f265b1bb954f435b0cc39f3ce5f6d473b0c5207b94f2a3b103fc6c886896da56ab3ea8
Homepage: https://cran.r-project.org/package=convertGraph
Description: CRAN Package 'convertGraph' (Convert Graphical Files Format)
 Converts graphical file formats (SVG, PNG, JPEG, BMP, GIF, PDF, etc) to one
 another. The exceptions are the SVG file format that can only be converted
 to other formats and in contrast, PDF format, which can only be created from
 others graphical formats.  The main purpose of the package was to provide a
 solution for converting SVG file format to PNG which is often needed for
 exporting graphical files produced by R widgets.

Package: r-cran-convertid
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-cran-plyr, r-cran-stringr, r-bioc-biomart, r-cran-xml2, r-cran-rappdirs, r-cran-assertthat, r-cran-httr, r-bioc-biocfilecache
Filename: pool/dists/focal/main/r-cran-convertid_0.1.10-1.ca2004.1_all.deb
Size: 83416
MD5sum: dbd28d3d5db4f5402beed073bc838a4a
SHA1: a853a696358692915dc8e5e197e33d57b1948e1a
SHA256: 57b8690e4a95bc84e53f028d780b0f7f88dd0f6fb440c51e1beb7db23bd92403
SHA512: e35c972aa03525762e2f29306da04b2f2210486f6802f91587b4d90f78a246c7621b5df398bb9c010e3fd99211f080d36798dc76f08a8d3fa65a009ab8f25199
Homepage: https://cran.r-project.org/package=convertid
Description: CRAN Package 'convertid' (Convert Gene IDs Between Each Other and Fetch Annotations fromBiomart)
 Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in
 'AnnotationDbi' in convertId2() but that function is only provided as
 fallback mechanism for the most common use cases in data analysis. The main
 function in the package is convert.bm() which queries BioMart using the full
 capacity of the API provided through the 'biomaRt' package. Presets and
 defaults are provided for convenience but all "marts", "filters" and
 "attributes" can be set by the user. Function convert.alias() converts Gene
 Symbols to Aliases and vice versa and function likely_symbol() attempts to
 determine the most likely current Gene Symbol.

Package: r-cran-convertpar
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-neuralnet, r-cran-mirt, r-cran-rweka
Filename: pool/dists/focal/main/r-cran-convertpar_0.1-1.ca2004.1_all.deb
Size: 26208
MD5sum: 2a161b9f56ae453a53cbd59729bc3ab2
SHA1: 4db60e2d738ce4b6e087b1c9094bbb21e70ed68b
SHA256: 33785456a4bcf23c830ded0e27be7ec3dae2eb04dafa6462c80afb5a035cb505
SHA512: 97df9694e39c1ecaab100766a162ce5c093ed07fa8402937b4503f1ab757124e5b97d4e928a6e50a92f3dd37a3fc8f022449f5562a99e30c7ad51c8ca7ade4e9
Homepage: https://cran.r-project.org/package=ConvertPar
Description: CRAN Package 'ConvertPar' (Estimating IRT Parameters via Machine Learning Algorithms)
 A tool to estimate IRT item parameters (2 PL) using CTT-based item
 statistics from small samples via artificial neural networks and regression
 trees.

Package: r-cran-convertr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-convertr_0.1-1.ca2004.1_all.deb
Size: 313824
MD5sum: 8aad2c5857fd98cd45c693db30c15cf8
SHA1: a2b0a2b1be0909c982ebd09860ff158380b51751
SHA256: 009fd8500059b0c68509c14b1c196d9788454558f4b4b48e571c47c05eb33c36
SHA512: f995f4b592e21436cb57768e698219a57e80358bf40e76bb72c3e5b1701e7ed9b285d9255e5382ae42cbe8b411e44d8b0d3747399a8e5aa95d0982a51f1076db
Homepage: https://cran.r-project.org/package=convertr
Description: CRAN Package 'convertr' (Convert Between Units)
 Provides conversion functionality between a broad range of scientific,
 historical, and industrial unit types.

Package: r-cran-convevol
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1521
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-cluster, r-cran-geiger, r-cran-magick, r-cran-phytools
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-convevol_2.2.1-1.ca2004.1_all.deb
Size: 1437692
MD5sum: ddcb060141669da3979ac2fbdb7f55aa
SHA1: d7e579065c2a530191cb1cb334154bce4f1b7a9a
SHA256: 3c512ad63000113a9b7b14f168f9dfbb1d58a61c6474bf74f5f90ce585a9cf27
SHA512: d0c84b08d77525626f1aa96af6bd2ef285bba1c20735f5a2995324307802e3d3343ffc2523a0762a97f76f99a221206ee060a0f3939cbbbc186dbe084229c287
Homepage: https://cran.r-project.org/package=convevol
Description: CRAN Package 'convevol' (Analysis of Convergent Evolution)
 Quantifies and assesses the significance of convergent evolution using
 multiple methods and measures as described in Stayton (2015) <DOI:
 10.1111/evo.12729> and Grossnickle et al. 2023.  Also displays results in
 various ways.

Package: r-cran-convexjlr
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-juliacall, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-convexjlr_0.8.1-1.ca2004.1_all.deb
Size: 154160
MD5sum: b0a3837afb0d2e648cb5e3c5b522b208
SHA1: f068eda639dfdbbf024f3428b0e09c08fa0f6844
SHA256: 9d50cf7eaf7da86474d554acf3000eb27bf5e1d75ba4e1ce6e05e0ef47afeaf9
SHA512: 3df4a2ce80c9d53efe0330940cbc08422abbbc457f65fe85702155c064e8381b5dde4b9be2b74a2f41add88dfd94fb9d93df9d6e9c11b202e5b446fffaa18c81
Homepage: https://cran.r-project.org/package=convexjlr
Description: CRAN Package 'convexjlr' (Disciplined Convex Programming in R using 'Convex.jl')
 Provides a simple high-level wrapper for 'Julia' package 'Convex.jl' (see
 <https://github.com/JuliaOpt/Convex.jl> for more information), which makes
 it easy to describe and solve convex optimization problems in R.  The
 problems can be dealt with include: linear programs, second-order cone
 programs, semidefinite programs, exponential cone programs.

Package: r-cran-convey
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vardpoor, r-cran-laeken, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-convey_1.0.1-1.ca2004.1_all.deb
Size: 461536
MD5sum: 734cd62411346681914a7192d98f2e68
SHA1: 9e16783e2f0d8b9eec33ec70d8c446c53408df96
SHA256: e847d0719ba783da54a37e3dc3ef0362f48ce52fdb6c9cf44e94ccb379fb5872
SHA512: 33fe0333668774c7e0f5b19f64f8ac926dd8096b68ee3f385bf94bc44cf663122a75198e58250d8bac31fc737fde30be8ce129560c4a29c4012f4a261b78ee3f
Homepage: https://cran.r-project.org/package=convey
Description: CRAN Package 'convey' (Income Concentration Analysis with Complex Survey Samples)
 Variance estimation on indicators of income concentration and poverty using
 complex sample survey designs. Wrapper around the 'survey' package.

Package: r-cran-convolutioner
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-convolutioner_0.1.0-1.ca2004.1_all.deb
Size: 28596
MD5sum: 202dfa6495efdc6bc55258296599fb81
SHA1: 35203de27f2dc39bdcaa9b8bad82e9928229413c
SHA256: 5de3ed9f7d9ac0203e47a341cd0d3fc965cf478fd60474459dccae71fb316fdb
SHA512: 7151c99ad814681abf2536dc794cb03bd2dc9d3d980443368774c2ae480339d019d1ffe1a7c130508f0341d29073b144fb7d1f7976d04302a6673d18de5ab310
Homepage: https://cran.r-project.org/package=Convolutioner
Description: CRAN Package 'Convolutioner' (Convolution of Data)
 General functions for convolutions of data. Moving average, running median,
 and other filters are available.  Bibliography regarding the functions can
 be found in the following text.  Richard G. Brereton (2003)
 <ISBN:9780471489771>.

Package: r-cran-convospat
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ellipse, r-cran-fields, r-cran-mass, r-cran-plotrix, r-cran-statmatch
Filename: pool/dists/focal/main/r-cran-convospat_1.2.7-1.ca2004.1_all.deb
Size: 269012
MD5sum: 333a9ae7886230467563cb45d021326f
SHA1: 8d3714e036c1d49f5b59b2330384796659162dcf
SHA256: 93faa6c920f4efcf5e0cc0b8f5fa1f8b4ea2a007fa2b9ba351a874cc503cba67
SHA512: c26ed868247029ded4a5038253f42880e6292e2c870d85c38ebad79efe287bb616bd87b89b2c7a236ecdfc8114233afc121ab3f8504811100a0323f5685cf754
Homepage: https://cran.r-project.org/package=convoSPAT
Description: CRAN Package 'convoSPAT' (Convolution-Based Nonstationary Spatial Modeling)
 Fits convolution-based nonstationary Gaussian process models to
 point-referenced spatial data. The nonstationary covariance function allows
 the user to specify the underlying correlation structure and which spatial
 dependence parameters should be allowed to vary over space: the anisotropy,
 nugget variance, and process variance.  The parameters are estimated via
 maximum likelihood, using a local likelihood approach. Also provided are
 functions to fit stationary spatial models for comparison, calculate the
 Kriging predictor and standard errors, and create various plots to visualize
 nonstationarity.

Package: r-cran-cooccur
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-gmp, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cooccur_1.3-1.ca2004.1_all.deb
Size: 87512
MD5sum: 50a352839183511d92c78c2dad50f6e2
SHA1: f4846ab746ec136a2ca42d70edfa0fcdfea8a7e8
SHA256: a03caeea82f5beee37cf0eccb425b6cb2bd905410086fc70f93e123443b8cdc3
SHA512: 52fff8eaea2b5935afa3e63dac01a7ce94d353e7a4692b18d9fde14c60e0138af1a994f998154ce3091885c24a74e04f007ac45e498ec0074005a944af93dc1f
Homepage: https://cran.r-project.org/package=cooccur
Description: CRAN Package 'cooccur' (Probabilistic Species Co-Occurrence Analysis in R)
 This R package applies the probabilistic model of species co-occurrence
 (Veech 2013) to a set of species distributed among a set of survey or
 sampling sites. The algorithm calculates the observed and expected
 frequencies of co-occurrence between each pair of species. The expected
 frequency is based on the distribution of each species being random and
 independent of the other species. The analysis returns the probabilities
 that a more extreme (either low or high) value of co-occurrence could have
 been obtained by chance. The package also includes functions for visualizing
 species co-occurrence results and preparing data for downstream analyses.

Package: r-cran-cooccurrenceaffinity
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-biasedurn, r-cran-cowplot, r-cran-ggplot2, r-cran-plyr, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-cooccurrenceaffinity_1.0.2-1.ca2004.1_all.deb
Size: 133664
MD5sum: 5dc1b7661d63c4455773deb498299a71
SHA1: f550ab2764ceb4f54854951f1feca32551aba749
SHA256: 2e0b73a2055449d2dbc458e9b23e97e8dcee77b7e933a05d639cc5a2895508f4
SHA512: 5f4aacb7976b8a61d0523905169dec5982e4a7b6157c87dae0f457144755b605d320041bae038c32506d808a0ec86a7690a7a41c6026f9711ae30f4a886a2836
Homepage: https://cran.r-project.org/package=CooccurrenceAffinity
Description: CRAN Package 'CooccurrenceAffinity' (Affinity in Co-Occurrence Data)
 Computes a novel metric of affinity between two entities based on their
 co-occurrence (using binary presence/absence data). The metric and its MLE,
 alpha hat, were advanced in Mainali, Slud, et al, 2021
 <doi:10.1126/sciadv.abj9204>. Various types of confidence intervals and
 median interval were developed in Mainali and Slud, 2022
 <doi:10.1101/2022.11.01.514801>. The `finches` dataset is now bundled
 internally (no longer pulled via the cooccur package, which has been
 dropped).

Package: r-cran-cookiecutter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fs, r-cran-jsonlite, r-cran-mime, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-whisker
Filename: pool/dists/focal/main/r-cran-cookiecutter_0.1.0-1.ca2004.1_all.deb
Size: 425988
MD5sum: ba7ca551d02f6611d2696fbfc33bcaae
SHA1: b444a9c9000dfac7d126d9db01c8e3acb5f2a022
SHA256: a195c6094f8a10f8f4a6643d29ff6e2177d3082fa38242be08aabd76424a7edc
SHA512: d9d79a6a229e7dd70522849964903d1af08a8414053345c10cb30c6d5bad9630959ea7431c2f9cf0d4238eb53e6d6a6a0e9a79085bbc75985e0161363f80440d
Homepage: https://cran.r-project.org/package=cookiecutter
Description: CRAN Package 'cookiecutter' (Generate Project Files from a Template)
 Generate project files and directories following a pre-made template.  You
 can specify variables to customize file names and content, and flexibly
 adapt the template to your needs. 'cookiecutter' for 'R' implements a subset
 of the excellent 'cookiecutter' package for the 'Python' programming
 language (<https://github.com/cookiecutter/>), and aims to be largely
 compatible with the original 'cookiecutter' template format.

Package: r-cran-cookiemonster
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-openssl, r-cran-rappdirs, r-cran-stringi, r-cran-tibble, r-cran-urltools, r-cran-vctrs
Suggests: r-cran-curl, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cookiemonster_0.0.3-1.ca2004.1_all.deb
Size: 42456
MD5sum: 4a00c140676cd9278a659fb7e7c7b3dc
SHA1: bd0b62795bacdfba6211c5d064491e7bd298ac6b
SHA256: b33643311183c26de7a43a86b09451fc5ace4aec9ddeae1aafe4f07cff5a2f6c
SHA512: 32d5f850e232277aa5b61686d0067b32fb557945efde82da4662ed34b33f7a5485662349270eb10f557a05fc5d4d4cb513494c0f2a56f962b3c75534643aea67
Homepage: https://cran.r-project.org/package=cookiemonster
Description: CRAN Package 'cookiemonster' (Your Friendly Solution to Managing Browser Cookies)
 A convenient tool to store and format browser cookies and use them in 'HTTP'
 requests (for example, through 'httr2', 'httr' or 'curl').

Package: r-cran-cookies
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-clock, r-cran-glue, r-cran-htmltools, r-cran-httpuv, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-vctrs
Suggests: r-cran-covr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cookies_0.2.3-1.ca2004.1_all.deb
Size: 328880
MD5sum: ab5b52fbda83c251afd8c2e732f1b498
SHA1: 8bdf958241ab13444a5ccbef94d2eae9da6f9649
SHA256: 0b8641838e1d05b51a5bfed05091b76e70c073cda8d8e4c525dc23ea19f330d2
SHA512: 13cd6d224f8605893c78fdbb05dfeec57faa4b11989335a5d1c8d16b0cf3312e4a3d61c60a8f24d8569e108b611ab4e26efb6d0456aee46deb73d50760233d1c
Homepage: https://cran.r-project.org/package=cookies
Description: CRAN Package 'cookies' (Use Browser Cookies with 'shiny')
 Browser cookies are name-value pairs that are saved in a user's browser by a
 website. Cookies allow websites to persist information about the user and
 their use of the website. Here we provide tools for working with cookies in
 'shiny' apps, in part by wrapping the 'js-cookie' JavaScript library
 <https://github.com/js-cookie/js-cookie>.

Package: r-cran-coopgame
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 984
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geometry, r-cran-rcdd, r-cran-gtools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-coopgame_0.2.2-1.ca2004.1_all.deb
Size: 882172
MD5sum: bfe647648e9d6463e36aa7640b8ec3bf
SHA1: 0bfe084c3bdc9cfe6713d4d69a85ee6310312666
SHA256: 26f26fb88a95d5d3b75c0a004e4beb6dc48a287f2d08d258c67c9d99ee6317c2
SHA512: e1b7b437e2f83a2d517a232785fdc0a4995830b29afe18ae3bdb09991237360e1e5e7be4def1cac133043b8fb98d15078afc74cb0434408ee78cd05691dc611d
Homepage: https://cran.r-project.org/package=CoopGame
Description: CRAN Package 'CoopGame' (Important Concepts of Cooperative Game Theory)
 The theory of cooperative games with transferable utility offers useful
 insights into the way parties can share gains from cooperation and secure
 sustainable agreements, see e.g. one of the books by Chakravarty, Mitra and
 Sarkar (2015, ISBN:978-1107058798) or by Driessen (1988,
 ISBN:978-9027727299) for more details. A comprehensive set of tools for
 cooperative game theory with transferable utility is provided. Users can
 create special families of cooperative games, like e.g. bankruptcy games,
 cost sharing games and weighted voting games. There are functions to check
 various game properties and to compute five different set-valued solution
 concepts for cooperative games. A large number of point-valued solution
 concepts is available reflecting the diverse application areas of
 cooperative game theory. Some of these point-valued solution concepts can be
 used to analyze weighted voting games and measure the influence of
 individual voters within a voting body. There are routines for visualizing
 both set-valued and point-valued solutions in the case of three or four
 players.

Package: r-cran-coopproductgame
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi, r-cran-ggplot2, r-cran-dplyr, r-cran-kappalab, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-coopproductgame_2.0-1.ca2004.1_all.deb
Size: 93812
MD5sum: 1d74c8222607fe9da6619452f1373b1b
SHA1: 3f40e2b4cd5fb3a28a7b4dbd7456914c21de200f
SHA256: 827caa33f7de6376360e4d8fcb23a2a76807cf28674255a47bff356d42a0d996
SHA512: 94de61240f11bb03ad2338715ca5b2ad041d9bcd695a6ee261fcf2f9671d6a8fc262c049424d7a4c3dde7d794307d4792b48f1396bf8f46cfe05f9eb44b7d08b
Homepage: https://cran.r-project.org/package=coopProductGame
Description: CRAN Package 'coopProductGame' (Cooperative Aspects of Linear Production Programming Problems)
 Computes cooperative games and allocation rules associated with linear
 production programming problems.

Package: r-cran-cooptrees
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-optrees, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-cooptrees_1.0-1.ca2004.1_all.deb
Size: 102728
MD5sum: 51bcbb5e4710d932b1d4f75b372230c2
SHA1: 3e81d9973937f5134f581be513bce0353774ab72
SHA256: a7eab23e6539c36ba4419a8956adb046994cc0b1033023227967f4f6c06fcc96
SHA512: 5ebe213ebb3e4d943fbdefea0957ab279215aaad9a7344794f607e9f656696704682603da8300f9787ef505270d11a409f5bf9430f5173a7dc5c4faa4bf84ad7
Homepage: https://cran.r-project.org/package=cooptrees
Description: CRAN Package 'cooptrees' (Cooperative aspects of optimal trees in weighted graphs)
 Computes several cooperative games and allocation rules associated with
 minimum cost spanning tree problems and minimum cost arborescence problems.

Package: r-cran-coordinatecleaner
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2686
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-rgbif, r-cran-rnaturalearth, r-cran-terra, r-cran-tidyselect
Suggests: r-cran-countrycode, r-cran-covr, r-cran-knitr, r-cran-magrittr, r-cran-maps, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-sf, r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-coordinatecleaner_3.0.1-1.ca2004.1_all.deb
Size: 2421044
MD5sum: 4e7466770ecb760f73f380d5d2a91599
SHA1: 2da1fa01d70d36bddd86df2339d19759ae48e8ba
SHA256: 7e7e24cad1e691e63a63584c3eb9116a93c3945d6f7a0ec230eab82d08158899
SHA512: 8cde0ef96db3ea3f9800aaace51bd5e10cfc887d3e3db55a410013721dc3cf94a50700824b49278c0b947fdd474ba692918030207759981190b07ff1e751d1a3
Homepage: https://cran.r-project.org/package=CoordinateCleaner
Description: CRAN Package 'CoordinateCleaner' (Automated Cleaning of Occurrence Records from BiologicalCollections)
 Automated flagging of common spatial and temporal errors in biological and
 paleontological collection data, for the use in conservation, ecology and
 paleontology. Includes automated tests to easily flag (and exclude) records
 assigned to country or province centroid, the open ocean, the headquarters
 of the Global Biodiversity Information Facility, urban areas or the location
 of biodiversity institutions (museums, zoos, botanical gardens,
 universities).  Furthermore identifies per species outlier coordinates, zero
 coordinates, identical latitude/longitude and invalid coordinates.  Also
 implements an algorithm to identify data sets with a significant proportion
 of rounded coordinates. Especially suited for large data sets. The reference
 for the methodology is: Zizka et al. (2019) <doi:10.1111/2041-210X.13152>.

Package: r-cran-coortweet
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-tidytable, r-cran-rcppsimdjson, r-cran-lubridate, r-cran-igraph, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coortweet_2.1.2-1.ca2004.1_all.deb
Size: 3762672
MD5sum: dbbe39f165eac47385a2ca2404684267
SHA1: efc6fcd94588a26deeb15e74be00f0a6c0e277d0
SHA256: 42ecb64b53004fca10e39e98cd1365fca198ace5ebe15333c3eda79c3f6766e2
SHA512: f5bd32ed7829e6c54c1d7cf7853920042dd68c1a99a3675c1a1a9d936b04340a147ce410c35d52b285ccbcc577cd65c58d01dea8738b3fa48da47a8efa0032d5
Homepage: https://cran.r-project.org/package=CooRTweet
Description: CRAN Package 'CooRTweet' (Coordinated Networks Detection on Social Media)
 Detects a variety of coordinated actions on social media and outputs the
 network of coordinated users along with related information.

Package: r-cran-copbasic
Architecture: all
Version: 2.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2302
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lmomco, r-cran-randtoolbox
Suggests: r-cran-copula
Filename: pool/dists/focal/main/r-cran-copbasic_2.2.8-1.ca2004.1_all.deb
Size: 2051184
MD5sum: a948802447016b8228b8ddcef8cd7bae
SHA1: fd117b2fe113ca6f0249ed3d0f00e85852474f81
SHA256: 554415e96c147ed2bb0d5cdc08ccdd6261466d40686127fa7c08ccc9eef306d2
SHA512: e5fb60c9ebdd1cdbdb17c75abffcb3c57d9069cf5ef48002b6ca833b963249dd7cfda60123bf66d5c1a8435285f1c725963a207ccc2f898efcaef38731c6ee53
Homepage: https://cran.r-project.org/package=copBasic
Description: CRAN Package 'copBasic' (General Bivariate Copula Theory and Many Utility Functions)
 Extensive functions for bivariate copula (bicopula) computations and related
 operations for bicopula theory. The lower, upper, product, and select other
 bicopula are implemented along with operations including the diagonal,
 survival copula, dual of a copula, co-copula, and numerical bicopula
 density. Level sets, horizontal and vertical sections are supported.
 Numerical derivatives and inverses of a bicopula are provided through which
 simulation is implemented.  Bicopula composition, convex combination,
 asymmetry extension, and products also are provided.  Support extends to the
 Kendall Function as well as the Lmoments thereof. Kendall Tau, Spearman Rho
 and Footrule, Gini Gamma, Blomqvist Beta, Hoeffding Phi, Schweizer- Wolff
 Sigma, tail dependency, tail order, skewness, and bivariate Lmoments are
 implemented, and positive/negative quadrant dependency, left (right)
 increasing (decreasing) are available.  Other features include
 Kullback-Leibler Divergence, Vuong Procedure, spectral measure, and
 Lcomoments for inference, maximum likelihood, and AIC, BIC, and RMSE for
 goodness-of-fit.

Package: r-cran-copcor
Architecture: all
Version: 2024.7-31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kyotil
Suggests: r-cran-runit, r-cran-r.rsp, r-cran-survival
Filename: pool/dists/focal/main/r-cran-copcor_2024.7-31-1.ca2004.1_all.deb
Size: 58244
MD5sum: dda34422ffb78b30d02a905203897748
SHA1: 40f0a68710a6f5bfa37ba990f9edcd0d1df03b97
SHA256: 237bfedb3ff7c535de3de2a221e777fdd22458e6d1cfd1bf88a2e8bcf2a0af6c
SHA512: b1920eb32da71a3496d8e8096cffb98b23194dc02f72439e5db7967ee2b19e7d652e2c480c84b1b26ec2c8c3d31e1d000ae6112120bcf87dfd5b8393d562814c
Homepage: https://cran.r-project.org/package=copcor
Description: CRAN Package 'copcor' (Correlates of Protection and Correlates of Risk Functions)
 Correlates of protection (CoP) and correlates of risk (CoR) study the immune
 biomarkers associated with an infectious disease outcome, e.g. COVID or
 HIV-1 infection. This package contains shared functions for analyzing CoP
 and CoR, including bootstrapping procedures, competing risk estimation, and
 bootstrapping marginalized risks.

Package: r-cran-copcts
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-msm, r-cran-copbasic
Filename: pool/dists/focal/main/r-cran-copcts_1.0.0-1.ca2004.1_all.deb
Size: 108520
MD5sum: 7788dbb99e7f3e6bc2d2148acb553d27
SHA1: 368b2877459d17c9e7d1695ee62502a8707c5a1c
SHA256: 7c67d1e121e33d55b8f9459aa9f022253c5c711410f2436955b88453fee1f503
SHA512: a6f72842049a519d8f58610082cdb58add1b225401650c9c53849f1cb443f118c2239d9afc2de53808d55e084d28722624d90c7e928f4a5d52270ab8414d752a
Homepage: https://cran.r-project.org/package=CopCTS
Description: CRAN Package 'CopCTS' (Copula-Based Semiparametric Analysis for Time Series Data withDetection Limits)
 Semiparametric estimation for censored time series with lower detection
 limit. The latent response is a sequence of stationary process with Markov
 property of order one.  Estimation of copula parameter(COPC) and Conditional
 quantile estimation are included for five available copula functions.
 Copula selection methods based on L2 distance from empirical copula function
 are also included.

Package: r-cran-cope
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maps, r-cran-abind, r-cran-fields, r-cran-mass, r-cran-matrix, r-cran-mvtnorm, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-cope_0.2.3-1.ca2004.1_all.deb
Size: 73568
MD5sum: 845533537ff0800999f5b0a930565fb7
SHA1: 987d0eca3acfd0e47074906867b2dbc126cab101
SHA256: 1c248ec6300e624f1ce8fef1fb98fce406b21732b04c1e20251e53c80ab26bb0
SHA512: cc32a9b146d53daf3df065cfd829ac4bf6b66e4b6f91b884f3a4e63c88f23cad8eb9722f95e20ffd83d574b709c001bc2dca428a7974320653ab8ed802f60bf4
Homepage: https://cran.r-project.org/package=cope
Description: CRAN Package 'cope' (Coverage Probability Excursion (CoPE) Sets)
 Provides functions to compute and plot Coverage Probability Excursion (CoPE)
 sets for real valued functions on a 2-dimensional domain. CoPE sets are
 obtained from repeated noisy observations of the function on the entire
 domain.  They are designed to bound the excursion set of the target function
 at a given level from above and below with a predefined probability. The
 target function can be a parameter in spatially-indexed linear regression.
 Support by NIH grant R01 CA157528 is gratefully acknowledged.

Package: r-cran-copent
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-copent_0.5-1.ca2004.1_all.deb
Size: 41376
MD5sum: f9c14d2c34b884147bdda2b66611f232
SHA1: 51d1119c1e1e497e979398778896b34811762435
SHA256: e930d584284f67727f51cdaee15f3044320c0fb8213b5b92bb7d1917ad5745fb
SHA512: ab1c8d2d1c587b4d9fbecc2fcf9213a346bf2095bf8de7270172a7f400ef9022c4ea04c692ac204726fe4bb7478019886218b8f25717e511a8adf14580b92d22
Homepage: https://cran.r-project.org/package=copent
Description: CRAN Package 'copent' (Estimating Copula Entropy and Transfer Entropy)
 The nonparametric methods for estimating copula entropy, transfer entropy,
 and the statistics for multivariate normality test and two-sample test are
 implemented. The methods for estimating transfer entropy and the statistics
 for multivariate normality test and two-sample test are based on the method
 for estimating copula entropy. The method for change point detection with
 copula entropy based two-sample test is also implemented. Please refer to Ma
 and Sun (2011) <doi:10.1016/S1007-0214(11)70008-6>, Ma (2019)
 <doi:10.48550/arXiv.1910.04375>, Ma (2022) <doi:10.48550/arXiv.2206.05956>,
 Ma (2023) <doi:10.48550/arXiv.2307.07247>, and Ma (2024)
 <doi:10.48550/arXiv.2403.07892> for more information.

Package: r-cran-copernicusdem
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-sf, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-data.table, r-cran-fitbitviz, r-cran-mapview, r-cran-terra
Filename: pool/dists/focal/main/r-cran-copernicusdem_1.0.5-1.ca2004.1_all.deb
Size: 2617712
MD5sum: a794468f1dd679cd4426c733aa0e9b11
SHA1: 2e4acb4142fcc5a6370e3c22cdfe2b8350245aa8
SHA256: 8b709dadfb77057a806bf00c083e236feda6247f22e0cfec74930d24bf428b61
SHA512: 4254ee51da026dcf18c9073f80efa8d07112feaa1d56a5db062079f9da3c33ee0881a8f924834f62995fd237ba081edbd7b925ba6122ec77d05872abc738caea
Homepage: https://cran.r-project.org/package=CopernicusDEM
Description: CRAN Package 'CopernicusDEM' (Copernicus Digital Elevation Models)
 Copernicus Digital Elevation Model datasets (DEM) of 90 and 30 meters
 resolution using the 'awscli' command line tool. The Copernicus (DEM) is
 included in the Registry of Open Data on 'AWS (Amazon Web Services)' and
 represents the surface of the Earth including buildings, infrastructure and
 vegetation.

Package: r-cran-copernicusmarine
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1026
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-httr2, r-cran-leaflet, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-lifecycle, r-cran-ncmeta, r-cran-stars, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-copernicusmarine_0.2.5-1.ca2004.1_all.deb
Size: 980072
MD5sum: d47c5f6a59a795a98076a2f0619b5d70
SHA1: e973945a6fe36b104164ef66c85e4abf64171c65
SHA256: a741223bad9ee945f4299412562cb74feaa4384dc8a306cc08e6a66fc7ecb7da
SHA512: afb5145f84e5f58a64123b8099652cceb0c76f07246a22b8f3e6e12b92bc2ea3d0b44d4818e3dd5f58dbc83496131b475fec739f2e2aab4372d4758d370f8c9d
Homepage: https://cran.r-project.org/package=CopernicusMarine
Description: CRAN Package 'CopernicusMarine' (Search Download and Handle Data from Copernicus Marine ServiceInformation)
 Subset and download data from EU Copernicus Marine Service Information:
 <https://data.marine.copernicus.eu>.  Import data on the oceans physical and
 biogeochemical state from Copernicus into R without the need of external
 software.

Package: r-cran-coppecosenzar
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coppecosenzar_0.1.3-1.ca2004.1_all.deb
Size: 228152
MD5sum: 94dcbc66d3d634e54bc34ae6491559bd
SHA1: b2f92f4bee7457dde3d40a0a8477dacade1e524f
SHA256: 04c7ecd0bd039f1773b55549b8afb233308f9196b5206b431224237e86971aec
SHA512: 8ebc88fbd9e330270767e25eb3e665553bf640e68e2d38318e7b2f80738548ffaf8920610d83cc889363e97bb6fdf488ed86ce722dcd132c44b50b5fafe40d1c
Homepage: https://cran.r-project.org/package=coppeCosenzaR
Description: CRAN Package 'coppeCosenzaR' (COPPE-Cosenza Fuzzy Hierarchy Model)
 The program implements the COPPE-Cosenza Fuzzy Hierarchy Model.  The model
 was based on the evaluation of local alternatives, representing regional
 potentialities, so as to fulfill demands of economic projects.  After
 defining demand profiles in terms of their technological coefficients, the
 degree of importance of factors is defined so as to represent the productive
 activity. The method can detect a surplus of supply without the restriction
 of the distance of classical algebra, defining a hierarchy of location
 alternatives. In COPPE-Cosenza Model, the distance between factors is
 measured in terms of the difference between grades of memberships of the
 same factors belonging to two or more sets under comparison. The required
 factors are classified under the following linguistic variables: Critical
 (CR); Conditioning (C); Little Conditioning (LC); and Irrelevant (I). And
 the alternatives can assume the following linguistic variables: Excellent
 (Ex), Good (G), Regular (R), Weak (W), Empty (Em), Zero (Z) and Inexistent
 (In). The model also provides flexibility, allowing different aggregation
 rules to be performed and defined by the Decision Maker. Such feature is
 considered in this package, allowing the user to define other aggregation
 matrices, since it considers the same linguistic variables mentioned.

Package: r-cran-cops
Architecture: all
Version: 1.12-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 913
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cordillera, r-cran-smacofx, r-cran-smacof, r-cran-analogue, r-cran-cmaes, r-cran-crs, r-cran-dfoptim, r-cran-gensa, r-cran-minqa, r-cran-nlcoptim, r-cran-nloptr, r-cran-pso, r-cran-rgenoud, r-cran-rsolnp, r-cran-subplex
Suggests: r-cran-r.rsp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cops_1.12-1-1.ca2004.1_all.deb
Size: 574508
MD5sum: 5c647a113fe4a5ea4ce7cd674ad40645
SHA1: 93ac9fb143895d4c36a794671e758ec56bc8ba30
SHA256: 77a2fac4ba6ee252ff3ee7841460a5b8111d5b5eaa477eebc51860c889c1e698
SHA512: c77deb02d02a0584ec38a2cda6f510e8f68f7d1d447fd856483e105c4bbd695f1d67b70a61253508ac0786906b0858c20e301d7684f689b55f9d0712336a9d40
Homepage: https://cran.r-project.org/package=cops
Description: CRAN Package 'cops' (Cluster Optimized Proximity Scaling)
 Multidimensional scaling (MDS) methods that aim at pronouncing the clustered
 appearance of the configuration (Rusch, Mair & Hornik, 2021,
 <doi:10.1080/10618600.2020.1869027>). They achieve this by transforming
 proximities/distances with explicit power functions and penalizing the
 fitting criterion with a clusteredness index, the OPTICS Cordillera (Rusch,
 Hornik & Mair, 2018, <doi:10.1080/10618600.2017.1349664>). There are two
 variants: One for finding the configuration directly (COPS-C) with given
 explicit power transformations and implicit ratio, interval and non-metric
 optimal scaling transformations (Borg & Groenen, 2005,
 ISBN:978-0-387-28981-6), and one for using the augmented fitting criterion
 to find optimal hyperparameters for the explicit transformations (P-COPS).
 The package contains various functions, wrappers, methods and classes for
 fitting, plotting and displaying a large number of different MDS models
 (most of the functionality in smacofx) in the COPS framework. The package
 further contains a function for pattern search optimization, the ``Adaptive
 Luus-Jaakola Algorithm'' (Rusch, Mair & Hornik,
 2021,<doi:10.1080/10618600.2020.1869027>) and a functions to calculate the
 phi-distances for count data or histograms.

Package: r-cran-copsens
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3623
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-pcamethods, r-cran-cvxr, r-cran-mass, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-copsens_0.1.0-1.ca2004.1_all.deb
Size: 3617080
MD5sum: 1cd708de164ccc6f8f52ae6f9e8d1efb
SHA1: a56ad2dc6a638a558581ad6b2e3ba2cea1df6d22
SHA256: d196951a2080ff083c3dca07dee41141f937e26f85cbaf62274d3ec888cd6368
SHA512: a65e1af7b87db8f0c3070b40273c6782379f11c9fb8cc8196f6529c12467b5004ca5f8796336b1746e35fa04090dedbd214c63e618dac44fe00c8d6471292bfe
Homepage: https://cran.r-project.org/package=CopSens
Description: CRAN Package 'CopSens' (Copula-Based Sensitivity Analysis for Observational CausalInference)
 Implements the copula-based sensitivity analysis method, as discussed in
 Copula-based Sensitivity Analysis for Multi-Treatment Causal Inference with
 Unobserved Confounding <arXiv:2102.09412>, with Gaussian copula adopted in
 particular.

Package: r-cran-copula.markov.survival
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-copula.markov.survival_1.0.0-1.ca2004.1_all.deb
Size: 154700
MD5sum: 14d8676cdb0b1cea596c026c2123216c
SHA1: 01dcf7a6d5cd740a08afa2aee348e8e2878c6d8b
SHA256: d261a9f5ae0f3daeaf77f0ac4460b3ba554bd16b771e191bddd846c2bdf9b6be
SHA512: 5fa3d6369342432240d2544a5b6ff9abf68c0e422d6b6b3628f8d42dd3e4c478349c514e0ef83248880f8ace3ce6927b230d53f9d3df0012d153a25861a043b5
Homepage: https://cran.r-project.org/package=Copula.Markov.survival
Description: CRAN Package 'Copula.Markov.survival' (Copula Markov Model with Dependent Censoring)
 Perform likelihood estimation and corresponding analysis under the
 copula-based Markov chain model for serially dependent event times with a
 dependent terminal event. Available are statistical methods in Huang, Wang
 and Emura (2020, JJSD accepted).

Package: r-cran-copula.markov
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-copula.markov_2.9-1.ca2004.1_all.deb
Size: 235812
MD5sum: 964eab6edec5111c96e7ca7710343cb5
SHA1: 28eecae97556520a750e1222d44d425e9685da65
SHA256: 0735975eecd9d6e3d54161a3c9952b5cc3207cfa638ea9862b21f3dfbd908730
SHA512: 37de39590bb2fad29c34ee8a59be67acd705e0b25aa36749f6343f1691200a24f583291ccfe0d58e29d633a3a786581761d31fdfe46a36111cf487ebf8d812ee
Homepage: https://cran.r-project.org/package=Copula.Markov
Description: CRAN Package 'Copula.Markov' (Copula-Based Estimation and Statistical Process Control forSerially Correlated Time Series)
 Estimation and statistical process control are performed under copula-based
 time-series models.  Available are statistical methods in Long and Emura
 (2014 JCSA), Emura et al. (2017 Commun Stat-Simul)
 <DOI:10.1080/03610918.2015.1073303>, Huang and Emura (2021 Commun
 Stat-Simul) <DOI:10.1080/03610918.2019.1602647>, Lin et al. (2021 Comm
 Stat-Simul) <DOI:10.1080/03610918.2019.1652318>, Sun et al. (2020 JSS Series
 in Statistics)<DOI:10.1007/978-981-15-4998-4>, and Huang and Emura (2021, in
 revision).

Package: r-cran-copula.surv
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-copula.surv_2.0-1.ca2004.1_all.deb
Size: 174156
MD5sum: f3ecf6c12f20b23b2628aa63501dd297
SHA1: c5a8246a15563ba9ea46af60e01bf639ddd24278
SHA256: b109dba8a6d0f4add8a6db53bb6ff3ffaeb23f53f3cd4cd91929e52a8028a2de
SHA512: 4e0f89ca9288db32be09b299dc519dfc8c613a53d1eb285334452159195d889bbb0925414556a917f0ec3dd96f707b3a036b5d03f3dcadd2a0ef71678f952ce1
Homepage: https://cran.r-project.org/package=Copula.surv
Description: CRAN Package 'Copula.surv' (Analysis of Bivariate Survival Data Based on Copulas)
 Simulating bivariate survival data from copula models.  Estimation of the
 association parameter in copula models.  Two different ways to estimate the
 association parameter in copula models are implemented.  A goodness-of-fit
 test for a given copula model is implemented.  See Emura, Lin and Wang
 (2010) <doi:10.1016/j.csda.2010.03.013> for details.

Package: r-cran-copulaboost
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rvinecopulib
Filename: pool/dists/focal/main/r-cran-copulaboost_0.1.0-1.ca2004.1_all.deb
Size: 86008
MD5sum: b6eea8be64e93dfe36542a542850bda9
SHA1: 5e5ceaeac9e3f54313f594b025b42b2e91f585bd
SHA256: b08e1ed01773056eafa53394ca31654a1d612dc6c8be0d911ef2442c0fe2aa93
SHA512: eb83566a4c6729c6aae99d2bd66f7510ae5affe98a950d31ad732d3c8ef1d38d9622504c23e9767d936ed355e0769919d171b0e6c5601dc3b4c8195f649e2b63
Homepage: https://cran.r-project.org/package=copulaboost
Description: CRAN Package 'copulaboost' (Fitting Additive Copula Regression Models for Binary OutcomeRegression)
 Additive copula regression for regression problems with binary outcome via
 gradient boosting [Brant, Hobæk Haff (2022); <arXiv:2208.04669>]. The
 fitting process includes a specialised model selection algorithm for each
 component, where each component is found (by greedy optimisation) among all
 the D-vines with only Gaussian pair-copulas of a fixed dimension, as
 specified by the user.  When the variables and structure have been selected,
 the algorithm then re-fits the component where the pair-copula distributions
 can be different from Gaussian, if specified.

Package: r-cran-copulacenr
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-caret, r-cran-copbasic, r-cran-copula, r-cran-corpcor, r-cran-flexsurv, r-cran-foreach, r-cran-icenreg, r-cran-magrittr, r-cran-plotly, r-cran-pracma, r-cran-survival, r-cran-vinecopula
Filename: pool/dists/focal/main/r-cran-copulacenr_1.2.4-1.ca2004.1_all.deb
Size: 719696
MD5sum: 7f8e81242f10353255df72a92b01ca4b
SHA1: a1a85f0636b5712f9d1c552a15d2f4f8ba186c03
SHA256: d00a0cfe7cd9c57389c45473fb267300a10af58782fce8124f9de2285fd1cdc8
SHA512: 58338040d3a017ea7f92b0ee3d2d38d919a8cfb1c349a91285c6b51b9cc4903f13df8ddf286c4072e76eb941cb5b41c285bee0a6d71e3f859fbe56da1d6ec054
Homepage: https://cran.r-project.org/package=CopulaCenR
Description: CRAN Package 'CopulaCenR' (Copula-Based Regression Models for Multivariate Censored Data)
 Copula-based regression models for multivariate censored data, including
 bivariate right-censored data, bivariate interval-censored data, and
 right/interval-censored semi-competing risks data. Currently supports
 Clayton, Gumbel, Frank, Joe, AMH and Copula2 copula models. For marginal
 models, it supports parametric (Weibull, Loglogistic, Gompertz) and
 semiparametric (Cox and transformation) models. Includes methods for
 convenient prediction and plotting. Also provides a bivariate time-to-event
 simulation function and an information ratio-based goodness-of-fit test for
 copula. Method details can be found in Sun et.al (2019) Lifetime Data
 Analysis, Sun et.al (2021) Biostatistics, Sun et.al (2022) Statistical
 Methods in Medical Research, Sun et.al (2022) Biometrics, and Sun et al.
 (2023+) JRSSC.

Package: r-cran-copuladata
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-copuladata_0.0-2-1.ca2004.1_all.deb
Size: 53640
MD5sum: 5a96fc59cc74353366691d981d1ecf87
SHA1: b9423bce36ec067892da3745047c093eccaf2d11
SHA256: 707808f3564ec0ee1ad349a424cd0fe22ed82795974b2cc38872db6253162963
SHA512: 4e14e7c88025b4ce9f79897f7fe59700a23dbed67ed0c11054a7832267dcdaf885859f774d50f1a003c4901dfd8e3b4e9c1fbadb9ab3e14df37d3c86eeb5828a
Homepage: https://cran.r-project.org/package=copulaData
Description: CRAN Package 'copulaData' (Data Sets for Copula Modeling)
 Data sets used for copula modeling in addition to those in the R package
 'copula'.  These include a random subsample from the US National Education
 Longitudinal Study (NELS) of 1988 and nursing home data from Wisconsin.

Package: r-cran-copuladta
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rstan, r-cran-ggplot2, r-cran-plyr, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-loo, r-cran-rmisc, r-cran-httr, r-cran-bayesplot, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-copuladta_1.0.1-1.ca2004.1_all.deb
Size: 436116
MD5sum: 0829217008dbc3e37f622c370c012477
SHA1: 06994e77fd77f17a1dc7574ab44749f1bfa2717f
SHA256: 75e227be16a7893e64d6db886dc03d18922c7673494631e6b41c543399d49ef5
SHA512: fa1b18780df6cf5a65d0a4ee19e28c93b02c84d44a8cd5fdc02141153aeb7c6d6c5d87c87817b2544eaf59173010ed8b7a854e30d56167626e8aeef397a957e6
Homepage: https://cran.r-project.org/package=CopulaDTA
Description: CRAN Package 'CopulaDTA' (Copula Based Bivariate Beta-Binomial Model for Diagnostic TestAccuracy Studies)
 Modelling of sensitivity and specificity on their natural scale using copula
 based bivariate beta-binomial distribution to yield marginal mean
 sensitivity and specificity. The intrinsic negative correlation between
 sensitivity and specificity is modelled using a copula function. A forest
 plot can be obtained for categorical covariates or for the model with
 intercept only.  Nyaga VN, Arbyn M, Aerts M (2017)
 <doi:10.18637/jss.v082.c01>.

Package: r-cran-copulaedas
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-vines, r-cran-mvtnorm, r-cran-truncnorm
Suggests: r-cran-cec2013
Filename: pool/dists/focal/main/r-cran-copulaedas_1.4.3-1.ca2004.1_all.deb
Size: 273996
MD5sum: 4ad95a29db1b99644b74b9671326c229
SHA1: e288a5be3521c9136aa70124b052ddc76a14a984
SHA256: cd20ca5adacd101263e95b85bc8c6ea7955c7ed98b542dcef52cf4ddfeaea454
SHA512: d0298199eb7496c4b80c634fc99ecf35ea689cdf0d7563173461b0f462e3264d4079396ae357b0db96bb02243a6643458fc70b60f16ced8fcd61ecb2860654d9
Homepage: https://cran.r-project.org/package=copulaedas
Description: CRAN Package 'copulaedas' (Estimation of Distribution Algorithms Based on Copulas)
 Provides a platform where EDAs (estimation of distribution algorithms) based
 on copulas can be implemented and studied. The package offers complete
 implementations of various EDAs based on copulas and vines, a group of
 well-known optimization problems, and utility functions to study the
 performance of the algorithms. Newly developed EDAs can be easily integrated
 into the package by extending an S4 class with generic functions for their
 main components.

Package: r-cran-copulareg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvinecopulib
Filename: pool/dists/focal/main/r-cran-copulareg_0.1.0-1.ca2004.1_all.deb
Size: 40796
MD5sum: bd1301fb0d3bf0067ce895e9777522fd
SHA1: b93224cdf7b2bdf548a54ecdb22a42f68ba5220e
SHA256: 25fc6ee93b38edfd0c08960f6a1ec4eb3a2cb23d1afb40279f72408fc47026d9
SHA512: 5e3f8609f838702407f530037886f3fe5c10eda48055a7102a924ac818e5e20055d5260211395b8785c59d6ecb69c30b9a26613fa5c90d540481db506789d7ba
Homepage: https://cran.r-project.org/package=copulareg
Description: CRAN Package 'copulareg' (Copula Regression)
 Fits multivariate models in an R-vine pair copula construction framework, in
 such a way that the conditional copula can be easily evaluated.  In
 addition, the package implements functionality to compute or approximate the
 conditional expectation via the conditional copula.

Package: r-cran-copularemada
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1248
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-statmod, r-cran-matlab, r-cran-tensor, r-cran-mc2d
Filename: pool/dists/focal/main/r-cran-copularemada_1.7.5-1.ca2004.1_all.deb
Size: 565992
MD5sum: 1202260be45aeb0a73fe5f7cbd8809d7
SHA1: 27751c962776f0cf00ec874e9b228b072d494870
SHA256: 3e1cfbdf2d757f32b9a4d58b2bf60490fe2528d4d1ae30dd170c67e0b72fd1f6
SHA512: 0f83ceb3e3a0e5054b9572836c4aabed6ac75c96afebbd165cc96ecfdc3ddc79bc147e29d7a282727f0e12a3dc9627201033120bc307eaba5a53bc6da01dc344
Homepage: https://cran.r-project.org/package=CopulaREMADA
Description: CRAN Package 'CopulaREMADA' (Copula Mixed Models for Multivariate Meta-Analysis of DiagnosticTest Accuracy Studies)
 The bivariate copula mixed model for meta-analysis of diagnostic test
 accuracy studies in Nikoloulopoulos (2015) <doi:10.1002/sim.6595> and
 Nikoloulopoulos (2018) <doi:10.1007/s10182-017-0299-y>. The vine copula
 mixed model for meta-analysis of diagnostic test accuracy studies accounting
 for disease prevalence in Nikoloulopoulos (2017)
 <doi:10.1177/0962280215596769> and also accounting for non-evaluable
 subjects in Nikoloulopoulos (2020) <doi:10.1515/ijb-2019-0107>. The hybrid
 vine copula mixed model for meta-analysis of diagnostic test accuracy
 case-control and cohort studies in Nikoloulopoulos (2018)
 <doi:10.1177/0962280216682376>. The D-vine copula mixed model for
 meta-analysis and comparison of two diagnostic tests in Nikoloulopoulos
 (2019) <doi:10.1177/0962280218796685>. The multinomial quadrivariate D-vine
 copula mixed model for meta-analysis of diagnostic tests with non-evaluable
 subjects in Nikoloulopoulos (2020) <doi:10.1177/0962280220913898>. The
 one-factor copula mixed model for joint meta-analysis of multiple diagnostic
 tests in Nikoloulopoulos (2022) <doi:10.1111/rssa.12838>. The multinomial
 six-variate 1-truncated D-vine copula mixed model for meta-analysis of two
 diagnostic tests accounting for within and between studies dependence in
 Nikoloulopoulos (2024) <doi:10.1177/09622802241269645>. The 1-truncated
 D-vine copula mixed models for meta-analysis of diagnostic accuracy studies
 without a gold standard (Nikoloulopoulos, 2025)
 <doi:10.1093/biomtc/ujaf037>.

Package: r-cran-copulasim
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mvtnorm, r-cran-rlang, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-testthat, r-cran-ball, r-cran-energy
Filename: pool/dists/focal/main/r-cran-copulasim_0.0.1-1.ca2004.1_all.deb
Size: 68440
MD5sum: 05d8f7df8d0bb682434a19d8e11a421d
SHA1: 5c9b85428d028dcfa255a9802dbd4f61250d0d80
SHA256: bfde8f1a82546df1d811b028b9ede94a46f94f0de088b826cda8365773e4778d
SHA512: 766976ee5e7b8953080e28457901566b48ab94c0af15a9034a9782ec2763a9ae2c989ab5c4f4df42a8331a47a558b9e1254a59c4eb40001629d6fc6469d94041
Homepage: https://cran.r-project.org/package=copulaSim
Description: CRAN Package 'copulaSim' (Virtual Patient Simulation by Copula Invariance Property)
 To optimize clinical trial designs and data analysis methods consistently
 through trial simulation, we need to simulate multivariate mixed-type
 virtual patient data independent of designs and analysis methods under
 evaluation. To make the outcome of optimization more realistic, relevant
 empirical patient level data should be utilized when it’s available.
 However, a few problems arise in simulating trials based on small empirical
 data, where the underlying marginal distributions and their dependence
 structure cannot be understood or verified thoroughly due to the limited
 sample size. To resolve this issue, we use the copula invariance property,
 which can generate the joint distribution without making a strong parametric
 assumption. The function copula.sim can generate virtual patient data with
 optional data validation methods that are based on energy distance and ball
 divergence measurement. The function compare.copula.sim can conduct
 comparison of marginal mean and covariance of simulated data. To simulate
 patient-level data from a hypothetical treatment arm that would perform
 differently from the observed data, the function new.arm.copula.sim can be
 used to generate new multivariate data with the same dependence structure of
 the original data but with a shifted mean vector.

Package: r-cran-copyseparator
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2263
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-seqinr, r-cran-stringr, r-cran-kmer, r-bioc-decipher, r-cran-beepr, r-bioc-biostrings, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-copyseparator_1.2.0-1.ca2004.1_all.deb
Size: 153204
MD5sum: 9d591deb87d0edac0afe00091147aba4
SHA1: 043b32034890dca80d78c30fd89d4561bcceeb8a
SHA256: c5cfd1ee251eb331460460cff3184bcef36680960c01ce6c32df239b4fa928f0
SHA512: af44949be97b711d6a3f363bcc0d2bbc57c9f55953a77a320db5954a3bebafe99c4930fdc5e670d81107faf067bcd1a1c0aafb56c4d7fc09a9e00f53df0179e6
Homepage: https://cran.r-project.org/package=copyseparator
Description: CRAN Package 'copyseparator' (Assembling Long Gene Copies from Short Read Data)
 Assembles two or more gene copies from short-read Next-Generation Sequencing
 data. Works best when there are only two gene copies and read length >=250
 base pairs. High and relatively even coverage are important.

Package: r-cran-cor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cor_0.2.0-1.ca2004.1_all.deb
Size: 412372
MD5sum: a61a0deac6cfd18511ccce54b6b58c4e
SHA1: f3c63981be78b35d18c1436b2c93ed9c0c527cdf
SHA256: 85f88737c648c22c9af2eaa58c829cd4128d06402c3e63ae55d8ea127c43cdf3
SHA512: 9aac2e6ea5b520ada78c403b48d80a406d43148295c341c788704b26ddaa5b472abe4d346bc74e881a275ed76b8638dac7b3378be47d937e97908f47492a5157
Homepage: https://cran.r-project.org/package=COR
Description: CRAN Package 'COR' (The COR for Optimal Subset Selection in Distributed Estimation)
 An algorithm of optimal subset selection, related to Covariance matrices,
 observation matrices and Response vectors (COR) to select the optimal
 subsets in distributed estimation. The philosophy of the package is
 described in Guo G. (2024) <doi:10.1007/s11222-024-10471-z>.

Package: r-cran-cora
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cora_0.1.0-1.ca2004.1_all.deb
Size: 64776
MD5sum: 470164a73e0e682649987ae0e26bf774
SHA1: 3a1f07e62b60752ba0d219b44efaa793a60945d6
SHA256: 9c776c005cb65fd4b2d1402c0de242d46c72b68403d5ecb5465b49e470a1efe7
SHA512: 796e896092292f6e4b21f029e80edf700a5bfc6e86f80f88877c35d0cc277b57487fd2d55b10ba55013a5b9439cbb466d66a9427872ca8bc6cde621ba847dbf6
Homepage: https://cran.r-project.org/package=cora
Description: CRAN Package 'cora' (Cora Data for Entity Resolution)
 Duplicated publication data (pre-processed and formatted) for entity
 resolution. This data set contains a total of 1879 records. The following
 variables are included in the data set: id, title, book title, authors,
 address, date, year, editor, journal, volume, pages, publisher, institution,
 type, tech, note. The data set has a respective gold data set that provides
 information on which records match based on id.

Package: r-cran-corazon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 787
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-corazon_0.1.0-1.ca2004.1_all.deb
Size: 460180
MD5sum: 10955ad1f86b5ac1fab4bc2ff4b4428b
SHA1: 42dea0b96dc5f43e592ae3e020a719c1891c86a6
SHA256: 1bb0dca595991c6c144c14584ae2b33dab0280e2d4a160b47920d18652737bd7
SHA512: 2986603d3ffba9f14627005459b925386f87d0ba09f8f571b961b5a2671b0e3b8eef015bd35db443f0da1ecd37eaaf0ecd7a67beec5ad85d7692c629f0a2fc8f
Homepage: https://cran.r-project.org/package=corazon
Description: CRAN Package 'corazon' (Apply 'colorffy' Color Gradients Within 'shiny' Elements)
 Allows the user to apply nice color gradients to 'shiny' elements.  The
 gradients are extracted from the 'colorffy' website. See
 <https://www.colorffy.com/gradients/catalog>.

Package: r-cran-corbin
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corbin_1.0.0-1.ca2004.1_all.deb
Size: 40816
MD5sum: 8716b4836f051ae5fe81d635d0c5d610
SHA1: 9b6d0c3d5221d2d2d11e1efa2d969b9e10fbec25
SHA256: cbd6bfb9f3c8629a2a93e7976f1c4c48507308ff3bde68bb2b512445d62aab49
SHA512: 1b8da58e284ec889e6ac6a27d26db14e6c39fe6da9ef21830dcc5a6eaf5c5e01365bd7fd093a337c1018edddd468ec920c5b434937645c57423dea45b5476d6f
Homepage: https://cran.r-project.org/package=CorBin
Description: CRAN Package 'CorBin' (Generate High-Dimensional Binary Data with CorrelationStructures)
 We design algorithms with linear time complexity with respect to the
 dimension for three commonly studied correlation structures, including
 exchangeable, decaying-product and K-dependent correlation structures, and
 extend the algorithms to generate binary data of general non-negative
 correlation matrices with quadratic time complexity. Jiang, W., Song, S.,
 Hou, L. and Zhao, H. "A set of efficient methods to generate
 high-dimensional binary data with specified correlation structures." The
 American Statistician. See <doi:10.1080/00031305.2020.1816213> for a
 detailed presentation of the method.

Package: r-cran-corbouli
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rfast, r-cran-rfast2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corbouli_0.1.5-1.ca2004.1_all.deb
Size: 309460
MD5sum: df43973adc1b37b19192e0ccbd7e6025
SHA1: 23680d1bd32890c0c9b3b4b43194066378225294
SHA256: 6151bb393bff926b7d02842729da3456fbb57c27b78c1e3ca628fc346079175a
SHA512: 9e97e66f43f3d65e9cafbe061032bc6872919df9c3496496d83b1cdace536e0039b84a8d8fbcd3b2e8cfe61eb6c74d0f2ed4a56d47837a62a7be663e485fd6b7
Homepage: https://cran.r-project.org/package=corbouli
Description: CRAN Package 'corbouli' (Corbae-Ouliaris Frequency Domain Filtering)
 Corbae-Ouliaris frequency domain filtering. According to Corbae and Ouliaris
 (2006) <doi:10.1017/CBO9781139164863.008>, this is a solution for extracting
 cycles from time series, like business cycles etc. when filtering. This
 method is valid for both stationary and non-stationary time series.

Package: r-cran-corclass
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-cairo
Filename: pool/dists/focal/main/r-cran-corclass_0.2.1-1.ca2004.1_all.deb
Size: 37480
MD5sum: ce43fca004a049987a86c283170d29da
SHA1: cca1ae98b7d1ca0fc4265f9fa0b7ed9dda41ea7f
SHA256: 8d07a23d83e18dce3c076674271e8151145c0b481c3d2340534e9ebc0aab4346
SHA512: e924d30cd34a8ef6d9ea86d03a8ce80beb98243d26fd859ace42ab8a86a36624cd994fdc4a7a4eb99ec83cf248e9afdd6d23ff999d5d69bcab63ad6da142dfff
Homepage: https://cran.r-project.org/package=corclass
Description: CRAN Package 'corclass' (Correlational Class Analysis)
 Perform a correlational class analysis of the data, resulting in a partition
 of the data into separate modules.

Package: r-cran-cordiff
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcc
Filename: pool/dists/focal/main/r-cran-cordiff_1.0-1.ca2004.1_all.deb
Size: 23028
MD5sum: b78ff073bebaeb15004cb80af406b944
SHA1: 500c600f4a21bad59d553afa6d5e51a1ae925bbb
SHA256: 10a11c11d09d58659c3ea62d113fdd0ccd16d3a5ac8b788c1aa707af194dee19
SHA512: e52e352dcfa09394b5bc6d6ec6bd27168fff367d921620f93185c946d72dd1c2bb9ffb92bcebe82c556ccdc194369fb6bbe4219abd9bb059de73cbb0a5039d82
Homepage: https://cran.r-project.org/package=CorDiff
Description: CRAN Package 'CorDiff' (Set-Based Differential Covariance Testing for Genomics)
 We describe four different summary statistics, to ensure power and
 flexibility under various settings, including a new connectivity statistic
 that is sensitive to changes in overall covariance magnitude.

Package: r-cran-cordillera
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbscan
Suggests: r-cran-cluster, r-cran-scatterplot3d, r-cran-mass, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-cordillera_1.0-3-1.ca2004.1_all.deb
Size: 487820
MD5sum: 84e1b8c505747eeaebac7461cf347c11
SHA1: baa3da445ed2d505366a1d9301b09898c739f4f7
SHA256: 5f0ae4e3fa3316faa4d09e17ea535f495a133ef9b4eccd6001c23b9175091e7f
SHA512: 06a418472fe26ed4533376dd7f5e200e13642f2a7544599b97cc9a501cd0f1488b6e64da58455acb91f4aa6491862688185f905593384cb24b769d52d7b9a476
Homepage: https://cran.r-project.org/package=cordillera
Description: CRAN Package 'cordillera' (Calculation of the OPTICS Cordillera)
 Functions for calculating the OPTICS Cordillera. The OPTICS Cordillera
 measures the amount of 'clusteredness' in a numeric data matrix within a
 distance-density based framework for a given minimum number of points
 comprising a cluster, as described in Rusch, Hornik, Mair (2018)
 <doi:10.1080/10618600.2017.1349664>. We provide an R native version with
 methods for printing, summarizing, and plotting the result.

Package: r-cran-core
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-core_3.2-1.ca2004.1_all.deb
Size: 100292
MD5sum: 92ab5233cf66757563e6bfb4cde75e27
SHA1: fc047c5cf4455fbcad588515321af59a8c080194
SHA256: f8569cb8c9780e59fbe69c90897fcaa8fed399e318ddb317559283e7f8c4eb26
SHA512: 3b35095cea8d8e2c9518df15046c1096b50a40a347e706c7abb6abbe4d880fb02d3c9e3ce521a1451b9a80f365b8777c8090ca36f832e0307f75e936bc9b7d9a
Homepage: https://cran.r-project.org/package=CORE
Description: CRAN Package 'CORE' (Cores of Recurrent Events)
 Given a collection of intervals with integer start and end positions, find
 recurrently targeted regions and estimate the significance of finding.
 Randomization is implemented by parallel methods, either using local host
 machines, or submitting grid engine jobs.

Package: r-cran-corect
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-igraph, r-cran-oro.dicom, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-corect_1.3.3-1.ca2004.1_all.deb
Size: 747452
MD5sum: 8ad307b10cd551f890696cad3f9e97d6
SHA1: 676c90afb7a96b5565b0a1298cddfe3f1c2d3226
SHA256: c3e611f45fafb9e201cf7ea70cd0ebd85bdb9c1b66e71d2105d6399d95a341a3
SHA512: b635b08c445a056643442f460435b3eec70c1ca8ec01ed95e9282a1092cb9cdb23169b6f061abbc1b0223ba7cf38a01a0918def07a8644eb9cb14e5d2c04f784
Homepage: https://cran.r-project.org/package=coreCT
Description: CRAN Package 'coreCT' (Programmatic Analysis of Sediment Cores Using ComputedTomography Imaging)
 Computed tomography (CT) imaging is a powerful tool for understanding the
 composition of sediment cores. This package streamlines and accelerates the
 analysis of CT data generated in the context of environmental science.
 Included are tools for processing raw DICOM images to characterize sediment
 composition (sand, peat, etc.). Root analyses are also enabled, including
 measures of external surface area and volumes for user-defined root size
 classes. For a detailed description of the application of computed
 tomography imaging for sediment characterization, see: Davey, E., C. Wigand,
 R. Johnson, K. Sundberg, J. Morris, and C. Roman. (2011) <DOI:
 10.1890/10-2037.1>.

Package: r-cran-corehunter
Architecture: all
Version: 3.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1920
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava, r-cran-naturalsort
Suggests: r-cran-testthat, r-cran-mockr, r-cran-statmatch
Filename: pool/dists/focal/main/r-cran-corehunter_3.2.3-1.ca2004.1_all.deb
Size: 670548
MD5sum: c01314f1d1caf908d5a9eef02ec7ee17
SHA1: cac80e9ce55335c9bc719a25a83352a45c856725
SHA256: 8a8e625339970d1bc8efd340b50dd506b8d42b9db42f8e64573739cee1eaf897
SHA512: 9857453d3594b433803da8c97196ca41dd85c75d50e50f39d6336a5bde24fca6576ba4843c65907a382ed2a4ebd2e8a388df3238b4eecadddd58e02dc2552b34
Homepage: https://cran.r-project.org/package=corehunter
Description: CRAN Package 'corehunter' (Multi-Purpose Core Subset Selection)
 Core Hunter is a tool to sample diverse, representative subsets from large
 germplasm collections, with minimum redundancy. Such so-called core
 collections have applications in plant breeding and genetic resource
 management in general. Core Hunter can construct cores based on genetic
 marker data, phenotypic traits or precomputed distance matrices, optimizing
 one of many provided evaluation measures depending on the precise purpose of
 the core (e.g. high diversity, representativeness, or allelic richness). In
 addition, multiple measures can be simultaneously optimized as part of a
 weighted index to bring the different perspectives closer together.  The
 Core Hunter library is implemented in Java 8 as an open source project (see
 <http://www.corehunter.org>).

Package: r-cran-corella
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3841
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-hms, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-uuid
Suggests: r-cran-gt, r-cran-knitr, r-cran-nanoparquet, r-cran-ozmaps, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-corella_0.1.4-1.ca2004.1_all.deb
Size: 1296288
MD5sum: 4531b450a80e65132ccd4dc5da58f859
SHA1: b4224f5277d1ca9060daf4531881ce40fade2411
SHA256: a6b3d163103ac9e4d91ced609bbf6b0985777dc7a5f81e7b511a30173f63e492
SHA512: d07ef49fa497093bfbb364362baf8647b9890357157ce5e910af2a1e62a80724946aa03134b46424d8e6670695d37d1044a4d8a85b4fcfadae15ad8c1486d47f
Homepage: https://cran.r-project.org/package=corella
Description: CRAN Package 'corella' (Prepare, Manipulate and Check Data to Comply with Darwin CoreStandard)
 Helps users standardise data to the Darwin Core Standard, a global data
 standard to store, document, and share biodiversity data like species
 occurrence records. The package provides tools to manipulate data to conform
 with, and check validity against, the Darwin Core Standard. Using 'corella'
 allows users to verify that their data can be used to build 'Darwin Core
 Archives' using the 'galaxias' package.

Package: r-cran-coremicrobiomer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastmatch, r-cran-vegan, r-cran-srs, r-bioc-edger, r-cran-ggplot2, r-cran-ggrepel, r-cran-plotly, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-coremicrobiomer_0.1.0-1.ca2004.1_all.deb
Size: 387104
MD5sum: 68211491d5da388428da477077594321
SHA1: 4d978c95f5585ffe407c7f3b08b892f6a1d9cdcf
SHA256: 53ead2b2cdc375fde7bd9c3c6d62307a2050c1d26a7035649b2f40094a46cc90
SHA512: 379b74ae2bede4ab08a6a477a602c71d72ccf5b6a6ae8b6ad3263dc95e9c143d077760ce75792ebd5dc23aac981191b30885ccca9c9cbc45cbf46e40c3121a8e
Homepage: https://cran.r-project.org/package=CoreMicrobiomeR
Description: CRAN Package 'CoreMicrobiomeR' (Identification of Core Microbiome)
 The Core Microbiome refers to the group of microorganisms that are
 consistently present in a particular environment, habitat, or host species.
 These microorganisms play a crucial role in the functioning and stability of
 that ecosystem. Identifying these microorganisms can contribute to the
 emerging field of personalized medicine. The 'CoreMicrobiomeR' is designed
 to facilitate the identification, statistical testing, and visualization of
 this group of microorganisms.This package offers three key functions to
 analyze and visualize microbial community data. This package has been
 developed based on the research papers published by Pereira et al.(2018)
 <doi:10.1186/s12864-018-4637-6> and Beule L, Karlovsky P. (2020)
 <doi:10.7717/peerj.9593>.

Package: r-cran-corenlp
Architecture: all
Version: 0.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava, r-cran-xml
Filename: pool/dists/focal/main/r-cran-corenlp_0.4-3-1.ca2004.1_all.deb
Size: 67116
MD5sum: f5053c4d8efa52959fc7ccdaad5a7acd
SHA1: bcf570948068ee4e114f50137872894ce80049b4
SHA256: 1755b244b554aaae12d98de1e9b073d738901519fca53e37fe483eb9b9b48e9d
SHA512: 530d11e395025d72ff521f31bef244e1a7e50eb090dd242f80b4709fcb0f2b4d3440f61ffffb230ea59c6453337aa1865e3cceff8448df1a8a0c524da3b51de9
Homepage: https://cran.r-project.org/package=coreNLP
Description: CRAN Package 'coreNLP' (Wrappers Around Stanford CoreNLP Tools)
 Provides a minimal interface for applying annotators from the 'Stanford
 CoreNLP' java library. Methods are provided for tasks such as tokenisation,
 part of speech tagging, lemmatisation, named entity recognition, coreference
 detection and sentiment analysis.

Package: r-cran-coresim
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-mass
Suggests: r-cran-car, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coresim_0.2.4-1.ca2004.1_all.deb
Size: 48880
MD5sum: c427efb9121d926982380f5509abb80b
SHA1: a410a7d08dfac0df805717810f4ae337dc034c85
SHA256: 70d8f330086d2abcaf58c0793555cef34945c4090a16fa5176d7f81a7f2cac38
SHA512: 829b44a8062d782b78f7f2f24eccb375ac849080f6d898646c741759a92118bf8d91c2bb88a02f63429bd360aedbf4511810463e4f5f48add16d6f41e2e7e5f0
Homepage: https://cran.r-project.org/package=coreSim
Description: CRAN Package 'coreSim' (Core Functionality for Simulating Quantities of Interest fromGeneralised Linear Models)
 Core functions for simulating quantities of interest from generalised linear
 models (GLM). This package will form the backbone of a series of other
 packages that improve the interpretation of GLM estimates.

Package: r-cran-coretdt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-coretdt_1.0-1.ca2004.1_all.deb
Size: 66216
MD5sum: b762e8d1b5190a0b739ddf8509cfa476
SHA1: 3b45afd4266465f5bf4ba6668d0ff51ddf0aeaed
SHA256: 15128d10d12efa12a691722c996010c621043a3c270438d664fdb3f749efb905
SHA512: b872c85057dc80e9cc74135c8eca9d54d9aa13b129d2f4cb2fc9ced22347c168dff8410930304aa61c84e6a4777dc15be75b646a60e4be59ef7a1ddb78f3cd5a
Homepage: https://cran.r-project.org/package=coreTDT
Description: CRAN Package 'coreTDT' (TDT for compound heterozygous and recessive models)
 Use to analysis case-parent trio sequencing studies. Test the compound
 heterozygous and recessive disease models

Package: r-cran-corhmm
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 734
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-nloptr, r-cran-gensa, r-cran-expm, r-cran-numderiv, r-cran-corpcor, r-cran-mass, r-cran-nnet, r-cran-phangorn, r-cran-viridis, r-cran-rmpfr, r-cran-igraph, r-cran-phytools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-corhmm_2.8-1.ca2004.1_all.deb
Size: 648944
MD5sum: cc43c2423fb37b61e6c8ef57b9342add
SHA1: c671f3d4059c93321e11078a2ef9868af5a121f1
SHA256: 478ec62a5487efcc8ec17ee2bf38e6219e4ea661fd94c718694467a3e1e5966b
SHA512: 957d6496a83036f3e9fa4193a16a9c7d008153b379ed1382491dbbfaead0865b156d85566bce3fe2dc9f5f95091991803512efdf5724ac9f38a0fbf815d5efbe
Homepage: https://cran.r-project.org/package=corHMM
Description: CRAN Package 'corHMM' (Hidden Markov Models of Character Evolution)
 Fits hidden Markov models of discrete character evolution which allow
 different transition rate classes on different portions of a phylogeny.
 Beaulieu et al (2013) <doi:10.1093/sysbio/syt034>.

Package: r-cran-corkscrew
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gplots, r-cran-rcolorbrewer, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-corkscrew_1.1-1.ca2004.1_all.deb
Size: 57220
MD5sum: bb5589985507d7e94c01b34daf665c8e
SHA1: 7347da08976284b21a22768354d926474830d25e
SHA256: 6a242d25051704807638aa64d9d432ad3300f7e989513cadb4786524f5b520df
SHA512: 0b592460ff9fa69f825dc1c5ab21a3ab31e963e2da0f21d73d76c2be2661a6ea0d91969d5283f19e355f7164e88e3a81435a67a444a62330178b190d103223d7
Homepage: https://cran.r-project.org/package=corkscrew
Description: CRAN Package 'corkscrew' (Preprocessor for Data Modeling)
 Includes binning categorical variables into lesser number of categories
 based on t-test, converting categorical variables into continuous features
 using the mean of the response variable for the respective categories,
 understanding the relationship between the response variable and predictor
 variables using data transformations.

Package: r-cran-corlink
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corlink_1.0.0-1.ca2004.1_all.deb
Size: 49380
MD5sum: 0988f2c6d7881266bfeb50a8fa3eee13
SHA1: f05f59d51709c5931beff79387e59c2c27d8d8aa
SHA256: 69e6f1c9f727c0e41e96518a3be14d1ed620aae0e076c2233ddd7100cd4fbb71
SHA512: a3c80a2180f37401a4bbb07e4b673d7e1954e60671272acfece2c7e0b2e94fc5dfe4ccbf18ad6227c757e8e2bedb7a535dc32042e36ebae2e1bc76ea0432ecd5
Homepage: https://cran.r-project.org/package=corlink
Description: CRAN Package 'corlink' (Record Linkage, Incorporating Imputation for Missing AgreementPatterns, and Modeling Correlation Patterns Between Fields)
 A matrix of agreement patterns and counts for record pairs is the input for
 the procedure.  An EM algorithm is used to impute plausible values for
 missing record pairs.  A second EM algorithm, incorporating possible
 correlations between per-field agreement, is used to estimate posterior
 probabilities that each pair is a true match - i.e. constitutes the same
 individual.

Package: r-cran-corm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-bioc-limma
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-corm_1.0.2-1.ca2004.1_all.deb
Size: 417276
MD5sum: 7f5b38d13e8a8c36f60a644d84f16ed6
SHA1: ccef4e4f30df76ffaa13e849cdbf7ab17472844e
SHA256: a2bd7b96a01459051d37b1102dfd1ff5ae51575488d42de67e66c401a869e171
SHA512: 853b81f52daef0870175c11338f354a4f6ccc116a2b4ce09a6c6587ec22d5acf34d1e3710499990d8372bdbbbafbfb7518af3aab80f9761df85aa1f34a134fd9
Homepage: https://cran.r-project.org/package=CORM
Description: CRAN Package 'CORM' (The Clustering of Regression Models Method)
 We proposed a new model-based clustering method, called the clustering of
 regression models method(CORM), which groups genes that share a similar
 relationship to the covariate(s). This method provides a unified approach
 for a family of clustering procedures and can be applied to data collected
 with various experimental designs. This package includes the implementation
 for two such clustering procedures: (1) the Clustering of Linear Models
 (CLM) method, and (2) the Clustering of Linear Mixed Models (CLMM) method.

Package: r-cran-corncob
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vgam, r-cran-numderiv, r-cran-ggplot2, r-cran-trust, r-cran-dplyr, r-cran-magrittr, r-cran-detectseparation, r-cran-scales, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-bioc-limma, r-cran-slam, r-cran-r.rsp, r-cran-optimx, r-bioc-phyloseq
Filename: pool/dists/focal/main/r-cran-corncob_0.4.2-1.ca2004.1_all.deb
Size: 2616000
MD5sum: 0c27cc73ba89de359b9c47be414db4b0
SHA1: 9d5a1d056cf49b7c3017473b5b6ff4fee9c735eb
SHA256: 247be85108b265d68f41fcc841e8c3c52169c3c3e1951e0d3a8eacf323082913
SHA512: 53351c85f434b7dc019efe8b49c43efa6600277410d474a937e6d38ee219b55da70b4e90820beca420e3310e16aac3353b40814d91dcd0c660b2238224fb418b
Homepage: https://cran.r-project.org/package=corncob
Description: CRAN Package 'corncob' (Count Regression for Correlated Observations with theBeta-Binomial)
 Statistical modeling for correlated count data using the beta-binomial
 distribution, described in Martin et al. (2020) <doi:10.1214/19-AOAS1283>.
 It allows for both mean and overdispersion covariates.

Package: r-cran-cornerstoner
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3333
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vcd
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cornerstoner_2.0.2-1.ca2004.1_all.deb
Size: 2232036
MD5sum: 887f8f325daab01f62197a0a2dae862e
SHA1: 8487dbfa26c88002110866676ab3c18749fd166a
SHA256: fbdc4de14bea5318a622a1d78863572d0c6c805bda1d8e75ce6e7fd75d5ef107
SHA512: 42c85af619ba8b35c43bf2e3388cf3c85e9a235515861d69ebed83b2977513f1f55c7844aefc472c4734967eceee27499b4aef03c0f232191d2b0d28060ca911
Homepage: https://cran.r-project.org/package=CornerstoneR
Description: CRAN Package 'CornerstoneR' (Collection of Scripts for Interface Between 'Cornerstone' and'R')
 Collection of generic 'R' scripts which enable you to use existing 'R'
 routines in 'Cornerstone'.
 The desktop application 'Cornerstone'
 (<https://www.camline.com/en/products/cornerstone/cornerstone-core.html>) is
 a data analysis software provided by 'camLine' that empowers engineering
 teams to find solutions even faster.  The engineers incorporate intensified
 hands-on statistics into their projects.  They benefit from an intuitive and
 uniquely designed graphical Workmap concept: you design experiments (DoE)
 and explore data, analyze dependencies, and find answers you can act upon,
 immediately, interactively, and without any programming.
 While 'Cornerstone's' interface to the statistical programming language 'R'
 has been available since version 6.0, the latest interface with 'R' is even
 much more efficient.  'Cornerstone' release 7.1.1 allows you to integrate
 user defined 'R' packages directly into the standard 'Cornerstone' GUI.
 Your engineering team stays in 'Cornerstone's' graphical working environment
 and can apply 'R' routines, immediately and without the need to deal with
 programming code.  Additionally, your 'R' programming team develops
 corresponding 'R' packages detached from 'Cornerstone' in their favorite 'R'
 environment.
 Learn how to use 'R' packages in 'Cornerstone' 7.1.1 on 'camLineTV' YouTube
 channel (<https://www.youtube.com/watch?v=HEQHwq_laXU>) (available in
 German).

Package: r-cran-cornet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-palasso
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-mass, r-cran-mvtnorm, r-cran-randomforest, r-cran-xgboost, r-cran-mlmetrics
Filename: pool/dists/focal/main/r-cran-cornet_1.0.0-1.ca2004.1_all.deb
Size: 91820
MD5sum: 685304ed633642dbf36b1584c0894c5c
SHA1: 8e4eb81f5e16d274521cf4103f4570c4e0a366a0
SHA256: e2a9bf099cbe595f3779d9558c1926a9ccd40e02b20a765d91527e07c4a7baf5
SHA512: 6abff91208460aaf4486932054c581dfb196fd9e337517a5715fee5604cf7178f7d87bb84491e28f8c5fdc25ff2319806d5fad1e88082d39730654b217609704
Homepage: https://cran.r-project.org/package=cornet
Description: CRAN Package 'cornet' (Penalised Regression for Dichotomised Outcomes)
 Implements lasso and ridge regression for dichotomised outcomes
 (<doi:10.1080/02664763.2023.2233057>), i.e., numerical outcomes that were
 transformed to binary outcomes. Such artificial binary outcomes indicate
 whether an underlying measurement is greater than a threshold.

Package: r-cran-coro
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-knitr, r-cran-later, r-cran-magrittr, r-cran-promises, r-cran-reticulate, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coro_1.1.0-1.ca2004.1_all.deb
Size: 142480
MD5sum: b51d8589585c05cabb633bd3facf273e
SHA1: e0ca6d24d6168133a8307bec5aa408aec875813f
SHA256: 234c97f53b9bb87e5766d7b2639e980cdf25e62d9533a6691c8efc52c4a59155
SHA512: 068f3bcfddb49b6373569d11d6dbf8f83341bd9252c5d5cdfc1a0cb76e7bc998e0eaed7f3df6c11bfecc7b477a8478c6db6db87431a43a0a042839a84db8d83a
Homepage: https://cran.r-project.org/package=coro
Description: CRAN Package 'coro' ('Coroutines' for R)
 Provides 'coroutines' for R, a family of functions that can be suspended and
 resumed later on. This includes 'async' functions (which await) and
 generators (which yield). 'Async' functions are based on the concurrency
 framework of the 'promises' package.  Generators are based on a dependency
 free iteration protocol defined in 'coro' and are compatible with iterators
 from the 'reticulate' package.

Package: r-cran-coroica
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-coroica_1.0.2-1.ca2004.1_all.deb
Size: 38908
MD5sum: 9f9042677c31687f5c837c99c13568ba
SHA1: 10c048290471fc50f3fe4ba62b1cab76c6b23098
SHA256: 26a45343b018ce7479c3be84d97114e871c4a10fa3197cc787c2bf030847d41b
SHA512: 9912ee5ec130e0b4f6b0b7672bf2b4407c4bdcbad4d5e450dcbd552d8661178123f75a5e8c51676a5d6ca3f3d0b04734caf007fd9be6e495ce14b68780964ff7
Homepage: https://cran.r-project.org/package=coroICA
Description: CRAN Package 'coroICA' (Confounding Robust Independent Component Analysis for Noisy andGrouped Data)
 Contains an implementation of a confounding robust independent component
 analysis (ICA) for noisy and grouped data. The main function coroICA()
 performs a blind source separation, by maximizing an independence across
 sources and allows to adjust for varying confounding based on user-specified
 groups. Additionally, the package contains the function uwedge() which can
 be used to approximately jointly diagonalize a list of matrices. For more
 details see the project website <https://sweichwald.de/coroICA/>.

Package: r-cran-corona
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-gganimate, r-cran-ggplot2, r-cran-gridextra, r-cran-qicharts2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-corona_0.3.0-1.ca2004.1_all.deb
Size: 524884
MD5sum: 0f4378bfd6895ed8fe42b2d612f1feb8
SHA1: 3b9ae92cab8c89f68cbdab996838d54fa98dc5c6
SHA256: 06b846ee36897d4dd309804d126a84358b2f85ce4f45eec3551c454c58f43092
SHA512: 00b3da0f54145ef515fcefa68ba8326eefd8d65cb72bb1b968d924ad515ad44cc7771d4d26b86772de49b7e676a88e1363eb8e22252bb60028a8df8a842a8264
Homepage: https://cran.r-project.org/package=corona
Description: CRAN Package 'corona' (Coronavirus ('Rona') Data Exploration)
 Manipulate and view coronavirus data and other societally relevant data at a
 basic level.

Package: r-cran-coronanetr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-r.utils, r-cran-readr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-coronanetr_0.3.0-1.ca2004.1_all.deb
Size: 63500
MD5sum: 80da70a6f8156ca1eb2cc00edc94c70f
SHA1: cc8415547a2d0500351d93571d3cde2d0b3abfad
SHA256: b7766fcaff9aa277d2d4c54486661797a2547c5a19efb55c13344ea7724ecd99
SHA512: 7166c857381d874127b02bc956eb8fc10c1fee302cd4ff860aa45b001dc7c6e35151b3bab294a6493cedbe6d35956ea1fa1171c7cbc9ccac2408c9628b57e018
Homepage: https://cran.r-project.org/package=CoronaNetR
Description: CRAN Package 'CoronaNetR' (API Access to 'CoronaNet' Data)
 Offers access to a database on government responses to the COVID-19
 pandemic.  To date, the 'CoronaNet' dataset provides the most comprehensive
 and granular documentation of such government policies in the world,
 capturing data for 20 broad policy categories alongside many other
 dimensions, including the initiator, target, and timing of a policy. This
 package is a programmatic front-end to up-to-date 'CoronaNet' policy records
 and the 'CoronaNet' policy intensity index scores.  For more information,
 see Cheng et al. (2020) <doi:10.1038/s41562-020-0909-7>.

Package: r-cran-coronavirus
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3358
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools
Suggests: r-cran-dt, r-cran-dplyr, r-cran-knitr, r-cran-plotly, r-cran-readr, r-cran-rmarkdown, r-cran-remotes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-coronavirus_0.4.1-1.ca2004.1_all.deb
Size: 2518724
MD5sum: e500027b0ff8b09932a845cccd2468a3
SHA1: 8672ca2f3e932da78c41eb408b346ad3a9bcbb1c
SHA256: c25a77115c22943dde50c936eac7b5285a0a2c95841ca38e9bf684276084d3ae
SHA512: 6b1db114092e2d620a70a8bd043e098ecaa6df979ad6d32e85782d476e7c5503df5379bddf5bae8527ecd98d7f90ce076aca235c35d451da69d806b638522976
Homepage: https://cran.r-project.org/package=coronavirus
Description: CRAN Package 'coronavirus' (The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset)
 Provides a daily summary of the Coronavirus (COVID-19) cases by
 state/province. Data source: Johns Hopkins University Center for Systems
 Science and Engineering (JHU CCSE) Coronavirus
 <https://systems.jhu.edu/research/public-health/ncov/>.

Package: r-cran-corpcor
Architecture: all
Version: 1.6.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corpcor_1.6.10-1.ca2004.1_all.deb
Size: 114196
MD5sum: 2bc1142b24755e4cd4860854df825017
SHA1: 6e318c1ee9cd8b7ad11181706285c99194afe88c
SHA256: 65152580ed93befd5b9fd95d8ed981400108a68f8a3bd677a5a2f0402e97670e
SHA512: cb3b2a1ac63b4f065d4d0a65406f56e7164847cd5674a0da2875c9b4400f1b9237db92fa2c6af87774ef5964c15d7da8b9137f2264455e90b31368b9e4a6073f
Homepage: https://cran.r-project.org/package=corpcor
Description: CRAN Package 'corpcor' (Efficient Estimation of Covariance and (Partial) Correlation)
 Implements a James-Stein-type shrinkage estimator for the covariance matrix,
 with separate shrinkage for variances and correlations.  The details of the
 method are explained in Schafer and Strimmer (2005)
 <DOI:10.2202/1544-6115.1175> and Opgen-Rhein and Strimmer (2007)
 <DOI:10.2202/1544-6115.1252>.  The approach is both computationally as well
 as statistically very efficient, it is applicable to "small n, large p"
 data, and always returns a positive definite and well-conditioned covariance
 matrix.  In addition to inferring the covariance matrix the package also
 provides shrinkage estimators for partial correlations and partial
 variances.  The inverse of the covariance and correlation matrix can be
 efficiently computed, as well as any arbitrary power of the shrinkage
 correlation matrix.  Furthermore, functions are available for fast singular
 value decomposition, for computing the pseudoinverse, and for checking the
 rank and positive definiteness of a matrix.

Package: r-cran-corpmetrics
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corpmetrics_1.0-1.ca2004.1_all.deb
Size: 37216
MD5sum: e2b684e2564f008badcf0f3436cd8567
SHA1: 73139c613565ab9414a38554d84fadd7b13ee20a
SHA256: 735c35146ec778b5ea2e9106980af4b74eed1d4df3666d18584969073866ba69
SHA512: b630376ba94989a8a3f292ab6e9b18fea9b5db6f7a7a75c4c14a4bd54f808a7ec4850f600a5cf35290dcf3f406d29c1a80d7b6f4e8813b718cb326f86a017230
Homepage: https://cran.r-project.org/package=corpmetrics
Description: CRAN Package 'corpmetrics' (Tools for Valuation, Financial Metrics and Modeling in CorporateFinance)
 Balance sheet and income statement metrics, investment analysis methods,
 valuation methods, loan amortization schedules, and Capital Asset Pricing
 Model.

Package: r-cran-corpora
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3473
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corpora_0.7-1.ca2004.1_all.deb
Size: 3436172
MD5sum: ed9aa5c6ad42161e3068a8eb035e50e2
SHA1: 59b6f85a4730b04383f41de975a9b3aacfe33a5d
SHA256: 83c6aae596e458b7698c08b670a6aef011b44441c5615acb859d57d6fd724b0a
SHA512: 645e35721f8be8e916efbbc99edd0204d93ec9d86279582748f369c9e594530b2afd86f6dfabb9166c282d614897dabf4ffea7b8bc6bb35cbe821eb5f0f6dd48
Homepage: https://cran.r-project.org/package=corpora
Description: CRAN Package 'corpora' (Statistics and Data Sets for Corpus Frequency Data)
 Utility functions for the statistical analysis of corpus frequency data.
 This package is a companion to the open-source course "Statistical
 Inference: A Gentle Introduction for Computational Linguists and Similar
 Creatures" ('SIGIL').

Package: r-cran-corporacoco
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-stringi, r-cran-rcolorbrewer, r-cran-rlist
Suggests: r-cran-unittest, r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown, r-cran-lintr, r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-corporacoco_2.0-1.ca2004.1_all.deb
Size: 164956
MD5sum: d6dd645fecda808937e52ae74e79dd3a
SHA1: 6bdf9ed393ab43f930afa3c32d6492ec1bc54553
SHA256: 46c82e7993366ed21cbab85fa295f02ebaa1d7683d46e63067452ee472b38d33
SHA512: d9056f0237d278a680227feaec82b5ff891233147506439766d06885da05254ac489d746147ec399ef42cfd468b7cf4d77a60a78194a06dd38423b41c69e5cda
Homepage: https://cran.r-project.org/package=CorporaCoCo
Description: CRAN Package 'CorporaCoCo' (Corpora Co-Occurrence Comparison)
 Identifies significant difference in co-occurrence counts for a given node
 or set of nodes across two corpora, using a Fisher’s Exact test.

Package: r-cran-corporaexplorer
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-padr, r-cran-plyr, r-cran-rcolorbrewer, r-cran-re2, r-cran-rlang, r-cran-rmarkdown, r-cran-scales, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-janeaustenr, r-cran-shinytest2, r-cran-sotu, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corporaexplorer_0.9.0-1.ca2004.1_all.deb
Size: 147744
MD5sum: eba3b926e3b669caf81856cea83963de
SHA1: 183b8034e9050482d9e6a4492182197f2c2ebdde
SHA256: 83af849fe10572b209fe3ab3f0046c1202915a52c81c7705ffffe1223eb2ed1b
SHA512: 65e2b08b514678340a142c0cbefe2378581f7b02a80214050cd82c5d99cf3f16de2d05d2ea96a58c4be8f72023ab35fabff5fd158314d54bd63cc8e8207bfbb3
Homepage: https://cran.r-project.org/package=corporaexplorer
Description: CRAN Package 'corporaexplorer' (A 'Shiny' App for Exploration of Text Collections)
 Facilitates dynamic exploration of text collections through an intuitive
 graphical user interface and the power of regular expressions.  The package
 contains 1) a helper function to convert a data frame to a
 'corporaexplorerobject' and 2) a 'Shiny' app for fast and flexible
 exploration of a 'corporaexplorerobject'. The package also includes demo
 apps with which one can explore Jane Austen's novels and the State of the
 Union Addresses (data from the 'janeaustenr' and 'sotu' packages
 respectively).

Package: r-cran-corpower
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-osdesign
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-corpower_1.0.4-1.ca2004.1_all.deb
Size: 172356
MD5sum: 0922749c48746695baeb8840eca20ec7
SHA1: 853c1bc88ced0deb839747c56c6f67c5b3c10e7a
SHA256: c0102bddb4a9d993ca0cb5ddb2364cb857b7a81ecac6be43b52710a86eea4886
SHA512: 11f2a259c24d7ef17f6318eef8cfa3fd8681a965cab537ff39492f536fee582e65d1b8e2a9ac3a67a7ae3fa4a9d35fa7b696f5a78792c6d357d5dde6ec2e2dfe
Homepage: https://cran.r-project.org/package=CoRpower
Description: CRAN Package 'CoRpower' (Power Calculations for Assessing Correlates of Risk in ClinicalEfficacy Trials)
 Calculates power for assessment of intermediate biomarker responses as
 correlates of risk in the active treatment group in clinical efficacy
 trials, as described in Gilbert, Janes, and Huang, Power/Sample Size
 Calculations for Assessing Correlates of Risk in Clinical Efficacy Trials
 (2016, Statistics in Medicine). The methods differ from past approaches by
 accounting for the level of clinical treatment efficacy overall and in
 biomarker response subgroups, which enables the correlates of risk results
 to be interpreted in terms of potential correlates of efficacy/protection.
 The methods also account for inter-individual variability of the observed
 biomarker response that is not biologically relevant (e.g., due to technical
 measurement error of the laboratory assay used to measure the biomarker
 response), which is important because power to detect a specified correlate
 of risk effect size is heavily affected by the biomarker's measurement
 error. The methods can be used for a general binary clinical endpoint model
 with a univariate dichotomous, trichotomous, or continuous biomarker
 response measured in active treatment recipients at a fixed timepoint after
 randomization, with either case-cohort Bernoulli sampling or case-control
 without-replacement sampling of the biomarker (a baseline biomarker is
 handled as a trivial special case). In a specified two-group trial design,
 the computeN() function can initially be used for calculating additional
 requisite design parameters pertaining to the target population of active
 treatment recipients observed to be at risk at the biomarker sampling
 timepoint. Subsequently, the power calculation employs an inverse
 probability weighted logistic regression model fitted by the tps() function
 in the 'osDesign' package. Power results as well as the relationship between
 the correlate of risk effect size and treatment efficacy can be visualized
 using various plotting functions. To link power calculations for detecting a
 correlate of risk and a correlate of treatment efficacy, a baseline
 immunogenicity predictor (BIP) can be simulated according to a specified
 classification rule (for dichotomous or trichotomous BIPs) or correlation
 with the biomarker response (for continuous BIPs), then outputted along with
 biomarker response data under assignment to treatment, and clinical endpoint
 data for both treatment and placebo groups.

Package: r-cran-corr2d
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-fields, r-cran-mmand, r-cran-colorspace
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-rgl, r-cran-profr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-corr2d_1.0.3-1.ca2004.1_all.deb
Size: 711608
MD5sum: 1076e4a9b2fd8a1cf38d83fb554ae0ad
SHA1: c9e38e92e3912f67439b41491206b1608d082c27
SHA256: 9639538f8286e7263fe68c74aaa36350cf1b419110a26cb5470aa1958d3eb864
SHA512: b3e0d6356ce7b668c93962ea097b57e2b060a3177a8387bdc4fdf7d23ad80c927c33f01d45cd92054afe16c6e574b91222c2dd31f0f39ce07adc3a469e8e249c
Homepage: https://cran.r-project.org/package=corr2D
Description: CRAN Package 'corr2D' (Implementation of 2D Correlation Analysis in R)
 Implementation of two-dimensional (2D) correlation analysis based on the
 Fourier-transformation approach described by Isao Noda (I. Noda (1993)
 <DOI:10.1366/0003702934067694>). Additionally there are two plot functions
 for the resulting correlation matrix: The first one creates colored 2D
 plots, while the second one generates 3D plots.

Package: r-cran-corrarray
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-corrarray_1.2.0-1.ca2004.1_all.deb
Size: 17856
MD5sum: 85484f80b6955ba6955280395755f583
SHA1: c2fb8c8182b8b89380b648641eab6d198dac2b7e
SHA256: 9131c25a1e844d3b96eba80255fdb0fb77a7a6f49fd64135731e98868f64842a
SHA512: 3eb8eacba88659a1347d38a470b607623d5ff06599b0a6943379248a541e6a5eac3a1f2f9f647fa204452a674df30a4ca49d7c3047414984a36cfd4e306d84f4
Homepage: https://cran.r-project.org/package=corrarray
Description: CRAN Package 'corrarray' (Correlation Arrays and 2-Sample Correlation Matrices)
 The goal of 'corrarray' is to create a multi-sample correlation array by
 combining the correlation matrices of a data set stratified by a grouping
 variable.  For two specified levels of the variable, 'corrarray' displays
 one level's correlation matrix in the lower triangular matrix and the other
 level's correlation matrix in the upper triangular matrix.  Such an output
 can enable visualization of correlations from two samples in a single
 correlation matrix or corrgram.

Package: r-cran-corrdna
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-corrdna_1.0.1-1.ca2004.1_all.deb
Size: 67508
MD5sum: e139bb24b2649729b64d018d0982fe8d
SHA1: f767d5468feef5e6b4c05cb85dfcba11d520b9b5
SHA256: 8bed7dbaf196f3a428066a79d554d95e0a32478ae7010bac5a7092ad6f2b7064
SHA512: 914a89f816dbbf1f7fcc5b731022f6e5fd288d59d54cab6be8e4b35c27bedf994057d9753e2a2bede5ba9d281ec5e9bed904c7586040f904bb7908fc854d3df4
Homepage: https://cran.r-project.org/package=corrDNA
Description: CRAN Package 'corrDNA' (Finding Associations in Position-Wise Aligned DNA SequenceDataset)
 Can be useful for finding associations among different positions in a
 position-wise aligned sequence dataset. The approach adopted for finding
 associations among positions is based on the latent multivariate normal
 distribution.

Package: r-cran-correctedauc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-icc, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-correctedauc_0.0.3-1.ca2004.1_all.deb
Size: 51540
MD5sum: 1af9878e24297c3abb21e16f08d3bfab
SHA1: 163553efc2bdeff717de2da9a69cd53aa0574e93
SHA256: 385df97b788016f814df938c65e7e4a640fa29cda361f5fd481916c0cce5557b
SHA512: b9d2ee72746cd6dcb28848f42a363076130ab32ee8aee158feb1f29381db44df1fde16e9580478798de5dfdc7439a8a2691b6290cbce301670591100a58e423a
Homepage: https://cran.r-project.org/package=correctedAUC
Description: CRAN Package 'correctedAUC' (Correcting AUC for Measurement Error)
 Correcting area under ROC (AUC) for measurement error based on probit-shift
 model.

Package: r-cran-correctedfdr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lfdr.mle, r-cran-lfdrempiricalbayes
Filename: pool/dists/focal/main/r-cran-correctedfdr_1.1-1.ca2004.1_all.deb
Size: 24116
MD5sum: fd681de69a6f0133e7a6b0439ca9228b
SHA1: 7fb90c4184513185e666c223cb086e9f089ca8f1
SHA256: 46a740a478d649845b56d2f8f8e9a85450a4991c829552be626306c6dfa8c52d
SHA512: b2c56d531ed944cd696db74b8fe2972c9f8bd07f871b1b7fefc88fa3c0bc7705246f7e9a23324c68ef3edca58b22dad5aa6c377121eef469ad2bdc1d215a554a
Homepage: https://cran.r-project.org/package=CorrectedFDR
Description: CRAN Package 'CorrectedFDR' (Correcting False Discovery Rates)
 There are many estimators of false discovery rate. In this package we
 compute the Nonlocal False Discovery Rate (NFDR) and the estimators of local
 false discovery rate: Corrected False discovery Rate (CFDR), Re-ranked False
 Discovery rate (RFDR) and the blended estimator.  Bickel, D.R., Rahal, A.
 (2019) <https://tinyurl.com/kkdc9rk8>.

Package: r-cran-correctoverloadedpeaks
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bitops, r-cran-digest, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-bioc-xcms, r-cran-xml, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-correctoverloadedpeaks_1.3.5-1.ca2004.1_all.deb
Size: 651076
MD5sum: 52f08dbcb98ff618f89a1befd23a3f0b
SHA1: ef330e1769c31aff84561ad411c189f4840924b9
SHA256: 88889e737064467007e99136a111e4cd778488180ffe7335ce9980bb0657839e
SHA512: c78a520ebadf30d9e04401288de6a0cb7eb080366915f5f4832158c55dcec46df4c99be922ff1d91dea1dd10c1fe1f6b01ca06adf6d26edad7633a2eb9e34ef2
Homepage: https://cran.r-project.org/package=CorrectOverloadedPeaks
Description: CRAN Package 'CorrectOverloadedPeaks' (Correct Overloaded Peaks from GC-APCI-MS Data)
 Analyzes and modifies metabolomics raw data (generated using Gas
 Chromatography-Atmospheric Pressure Chemical Ionization-Mass Spectrometry)
 to correct overloaded signals, i.e. ion intensities exceeding detector
 saturation leading to a cut-off peak. Data in 'xcmsRaw' format are accepted
 as input and 'mzXML' files can be processed alternatively.  Overloaded
 signals are detected automatically and modified using an Gaussian or an
 Isotopic-Ratio approach. Quality control plots are generated and corrected
 data are stored within the original 'xcmsRaw' or 'mzXML' respectively to
 allow further processing.

Package: r-cran-correctr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-correctr_0.3.1-1.ca2004.1_all.deb
Size: 67316
MD5sum: ffe3d988e17481fdc5acfd6eeddbf978
SHA1: fd8cb7fe95529bcbd2c25153420c24417aa2c04e
SHA256: 7bbce7c7180775cf13d45618443411e7cccddc6b17d54de5974d9fa0faf503e3
SHA512: cfa704c9392b0479a8162c3a190ab925534c350beb3da05d4e91ee6c39233761ea65778c42bd0a00293bc25a1a92ac9dcce2291ea4102dc512060f9608a52063
Homepage: https://cran.r-project.org/package=correctR
Description: CRAN Package 'correctR' (Corrected Test Statistics for Comparing Machine Learning Modelson Correlated Samples)
 Calculate a set of corrected test statistics for cases when samples are not
 independent, such as when classification accuracy values are obtained over
 resamples or through k-fold cross-validation, as proposed by Nadeau and
 Bengio (2003) <doi:10.1023/A:1024068626366> and presented in Bouckaert and
 Frank (2004) <doi:10.1007/978-3-540-24775-3_3>.

Package: r-cran-corregp
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 937
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagram, r-cran-rgl, r-cran-data.table, r-cran-ellipse, r-cran-gplots
Suggests: r-cran-mass, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-corregp_2.0.2-1.ca2004.1_all.deb
Size: 731000
MD5sum: f75bc96e142fbceafdd4835697d7d259
SHA1: a859420458683efc9b2a10f13b738385323c82e1
SHA256: 2cce46f1e54cecf9bb7ab31ba5434c81727925635c9df6dc3f48bd35dcb52f00
SHA512: 4d6ec04432100e6b0e3b3d9961c2ae92e342ec8ab026cc6b220664d30d4a25d2a213163ea514dbe3be1b3b5462ca7a406c1d8d1555c87cebcee1d6d372b3b5b1
Homepage: https://cran.r-project.org/package=corregp
Description: CRAN Package 'corregp' (Functions and Methods for Correspondence Regression)
 A collection of tools for correspondence regression, i.e. the correspondence
 analysis of the crosstabulation of a categorical variable Y in function of
 another one X, where X can in turn be made up of the combination of various
 categorical variables. Consequently, correspondence regression can be used
 to analyze the effects for a polytomous or multinomial outcome variable.

Package: r-cran-correlatio
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-correlatio_0.2.1-1.ca2004.1_all.deb
Size: 520452
MD5sum: 771726458460d7c8930e9802b69fc9a5
SHA1: 58290115d8e000809ac4a6c8827fd07d5631c105
SHA256: 199e4c2425f1491a0b6d0d8da46d40435bd59d0dbc290fc6368ce3ee720732ea
SHA512: 21497bbf97d3b7255d8cacefb5abbf03db7ce4e513b13251d05b8dab1eb6e9dcefceb2fc2af5f47f7571415cc4ed16a2bec7f76b5eb1b1df6e0a103f157ba4fc
Homepage: https://cran.r-project.org/package=correlatio
Description: CRAN Package 'correlatio' (Visualize Details Behind Pearson's Correlation Coefficient)
 Helps visualizing what is summarized in Pearson's correlation coefficient.
 That is, it visualizes its main constituent, namely the distances of the
 single values to their respective mean. The visualization thereby shows what
 the etymology of the word correlation contains: In pairwise combination,
 bringing back (see package Vignette for more details). I hope that the
 'correlatio' package may benefit some people in understanding and critically
 evaluating what Pearson's correlation coefficient summarizes in a single
 number, i.e., to what degree and why Pearson's correlation coefficient may
 (or may not) be warranted as a measure of association.

Package: r-cran-correlation
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-datawizard, r-cran-insight, r-cran-parameters
Suggests: r-cran-bayesfactor, r-cran-energy, r-cran-ggplot2, r-cran-ggraph, r-cran-gt, r-cran-hmisc, r-cran-knitr, r-cran-lme4, r-cran-mass, r-cran-mbend, r-cran-polycor, r-cran-poorman, r-cran-ppcor, r-cran-psych, r-cran-rmarkdown, r-cran-rmcorr, r-cran-rstanarm, r-cran-see, r-cran-testthat, r-cran-tidygraph, r-cran-wdm, r-cran-wrs2, r-cran-openxlsx2
Filename: pool/dists/focal/main/r-cran-correlation_0.8.7-1.ca2004.1_all.deb
Size: 1518320
MD5sum: 2d255b1cf33787c47bd04063f866cb24
SHA1: 576a64b84e7fdafea389473a24c15b0c2eff7c72
SHA256: cff7c6993c6d006ee0d8ea7da08d8bd9af171045f4a3d86d24c5b38078e4d4d8
SHA512: 54c6df110bdba3703b515f055e58ad39cf52c6faf919be5f9eb4ef8891c3363071aa90474be5f385623b91483bacb5b4a1c8ea47b59049850fb21950dd1e4998
Homepage: https://cran.r-project.org/package=correlation
Description: CRAN Package 'correlation' (Methods for Correlation Analysis)
 Lightweight package for computing different kinds of correlations, such as
 partial correlations, Bayesian correlations, multilevel correlations,
 polychoric correlations, biweight correlations, distance correlations and
 more. Part of the 'easystats' ecosystem. References: Makowski et al. (2020)
 <doi:10.21105/joss.02306>.

Package: r-cran-correlationfunnel
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3623
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-recipes, r-cran-magrittr, r-cran-plotly, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-ggrepel, r-cran-stringr, r-cran-forcats, r-cran-purrr, r-cran-cli, r-cran-crayon, r-cran-rstudioapi
Suggests: r-cran-scales, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-lubridate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-correlationfunnel_0.2.0-1.ca2004.1_all.deb
Size: 2823096
MD5sum: aec96eca8071ea6137dd73407bfc5b22
SHA1: de5683a766c826670bf8be253f96a2b1d0181d98
SHA256: 0d88e5ebcc02691257fbde5787d17baaa45229baa250f136a8f80a27bd6dcce5
SHA512: 1ae0eed3d86a8b66587bffe5c9a31867320accf14210713fe7539b44933e500d8ec1d9fb9385ae16e11d19b2e2d6059b4becdf969098906ac1d0ce4a1c650b05
Homepage: https://cran.r-project.org/package=correlationfunnel
Description: CRAN Package 'correlationfunnel' (Speed Up Exploratory Data Analysis (EDA) with the CorrelationFunnel)
 Speeds up exploratory data analysis (EDA) by providing a succinct workflow
 and interactive visualization tools for understanding which features have
 relationships to target (response). Uses binary correlation analysis to
 determine relationship. Default correlation method is the Pearson method.
 Lian Duan, W Nick Street, Yanchi Liu, Songhua Xu, and Brook Wu (2014)
 <doi:10.1145/2637484>.

Package: r-cran-correlationr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-correlationr_0.1.0-1.ca2004.1_all.deb
Size: 21132
MD5sum: e631ae0e3327243a64adfcba71133a47
SHA1: 34baf60fcfdab83632280961fe1cdcd049492eb4
SHA256: db22230ce3b05d2511a70e5df32ed92070d6b9677148b479d0e554259aee31df
SHA512: 1fa166fd407ceb911c41bc4c3d157980abfdfe2b1468140e2321ddef6eaa929e3d4ddfdcc1854fdead9ec62d49b9d530606ba93059dec39553b37298c031bc64
Homepage: https://cran.r-project.org/package=correlationr
Description: CRAN Package 'correlationr' (Conduct Robust Correlations on Non-Normal Data)
 Allows you to conduct robust correlations on your non-normal data set. The
 robust correlations included in the package are median-absolute-deviation
 and median-based correlations.  Li, J.C.H. (2022) <doi:10.5964/meth.8467>.

Package: r-cran-correlbinom
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-correlbinom_0.0.1-1.ca2004.1_all.deb
Size: 17748
MD5sum: 950b923f8754fee84de8b9dc2ee40b7d
SHA1: 646b2137d15fe1bd21c2ef9aecd92dbd88f8a0c3
SHA256: 1579ac5808b1896fbdc0c9f5c08ed9e75c9f4d0bf1ae23463cdaabb64c7d0f28
SHA512: 2377eb2876e7f902686a9a4b0242a03531afe0ffd4576831a794362f3d16daa5705218d08306be4ad4a4d65e4c00815c671b6aac713a360b41e5bced834c12f4
Homepage: https://cran.r-project.org/package=correlbinom
Description: CRAN Package 'correlbinom' (Correlated Binomial Probabilities)
 Calculates the probabilities of k successes given n trials of a binomial
 random variable with non-negative correlation across trials. The function
 takes as inputs the scalar values the level of correlation or association
 between trials, the success probability, the number of trials, an optional
 input specifying the number of bits of precision used in the calculation,
 and an optional input specifying whether the calculation approach to be used
 is from Witt (2014) <doi:10.1080/03610926.2012.725148> or from Kuk (2004)
 <doi:10.1046/j.1467-9876.2003.05369.x>. The output is a
 (trials+1)-dimensional vector containing the likelihoods of 0, 1, ...,
 trials successes.

Package: r-cran-correlplot
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-calibrate, r-cran-corrplot, r-cran-xtable, r-cran-mass, r-cran-lsei, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-correlplot_1.1.0-1.ca2004.1_all.deb
Size: 319844
MD5sum: cc28f563de07a6f245c76bde71486792
SHA1: 70db01629130c8fe57279071248b2139b32ac4fb
SHA256: 4aabc9667f270b67d4f6f27566ca37f51f0c7ae0afb47d9d04c5ca4cbf6e5ca2
SHA512: 3ffeb15d76fd3d2feac24e7098291163f5189d200cbe7dd3443889fa55dad023e4a368bbca84010a81dc4a6db88627aa7b1b1bb75ce92da1f53f337da52cb715
Homepage: https://cran.r-project.org/package=Correlplot
Description: CRAN Package 'Correlplot' (A Collection of Functions for Graphing Correlation Matrices)
 Routines for the graphical representation of correlation matrices by means
 of correlograms, MDS maps and biplots obtained by PCA, PFA or WALS (weighted
 alternating least squares); See Graffelman & De Leeuw (2023) <doi:
 10.1080/00031305.2023.2186952>.

Package: r-cran-correspondencetables
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 18318
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-correspondencetables_0.7.4-1.ca2004.1_all.deb
Size: 1774992
MD5sum: cf89d4344e6a2815c8b485208b012f24
SHA1: d09f209acf6582080b742c54c7a421802052ba0f
SHA256: 27e564b09d696f7b064d0fff593972981a924e980074ed1cb58b2308c016ded1
SHA512: ab47162be765564c0e68db2fdc550abf0536115d92f43c3a62c758518fc6eb1272057614cb2db82b486cc32096d38a79388e72d94d6d20fed14689e7c9752096
Homepage: https://cran.r-project.org/package=correspondenceTables
Description: CRAN Package 'correspondenceTables' (Creating Correspondence Tables Between Two StatisticalClassifications)
 A candidate correspondence table between two classifications can be created
 when there are correspondence tables leading from the first classification
 to the second one via intermediate 'pivot' classifications.  The
 correspondence table between two statistical classifications can be updated
 when one of the classifications gets updated to a new version.

Package: r-cran-corrfuns
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast, r-cran-rfast2
Suggests: r-cran-mvcor
Filename: pool/dists/focal/main/r-cran-corrfuns_1.2-1.ca2004.1_all.deb
Size: 83376
MD5sum: a95f8794441bf0a63a07c5bc0ecde3bd
SHA1: 02a222651dda21f5287810ab3b40994a53159e75
SHA256: b9d2c0fa22fb466469bf8b08ae3b160d5261269a1665e31fd69c2a472603519d
SHA512: 6e898b6816c8f95f11e71f8c5bc587bcdf52777eb012940d39998a2929cd726559833d1d09751518178866ae25bde904f50940a000e6ed77cdace899026e9d86
Homepage: https://cran.r-project.org/package=corrfuns
Description: CRAN Package 'corrfuns' (Correlation Coefficient Related Functions)
 Many correlation coefficient related functions are offered, such as
 correlations, partial correlations and hypothesis testing using asymptotic
 tests and computer intensive methods (bootstrap and permutation). References
 include Mardia K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate
 Analysis". ISBN: 978-0124712522. London: Academic Press and Owen A. B.
 (2001). "Empirical likelihood". Chapman and Hall/CRC Press. ISBN:
 9781584880714.

Package: r-cran-corrgram
Architecture: all
Version: 1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 581
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-gridbase, r-cran-knitr, r-cran-matrix, r-cran-psych, r-cran-rmarkdown, r-cran-seriation, r-cran-sfsmisc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corrgram_1.14-1.ca2004.1_all.deb
Size: 387456
MD5sum: 70c0bdb7e3a14fce82cf419dc7eb9c32
SHA1: 2ed582aba3981f76080fc756d2ef16bc56e0ba96
SHA256: d7cff056d22943afb8dd2a930654b8c2df82fc10cbbe5e9e8886110cfc5e5a19
SHA512: a4ecab99a883fc77de2d4e1ea140aac59d24c1d0c283c8e4aee86efffa99e901d6551087439126198b5bb29c8da0b67c0e9067835c9769a2c8746721acc09e29
Homepage: https://cran.r-project.org/package=corrgram
Description: CRAN Package 'corrgram' (Plot a Correlogram)
 Calculates correlation of variables and displays the results graphically.
 Included panel functions can display points, shading, ellipses, and
 correlation values with confidence intervals. See Friendly (2002)
 <doi:10.1198/000313002533>.

Package: r-cran-corrgrapher
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2824
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-visnetwork, r-cran-ingredients, r-cran-htmltools, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-dalex, r-cran-gbm, r-cran-ranger, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-corrgrapher_1.0.4-1.ca2004.1_all.deb
Size: 2792076
MD5sum: b87bc1fb500f4693544409a2ff7912d5
SHA1: 2e4801e590a96b25686eb1922bae096f01213d94
SHA256: 01183f12daf4a686abee53f54a88bcb2b78147129570f1c9ee81fd0639ef34fa
SHA512: b1ffbd316e02d05d65c1e46fdd5498ef5bd0ccbb29df14304d9c26fb5da4f852d0dfe18b08e50e0a6c732c0ac04368fb80db2563eb3c72f9ee1f6b679b6b482d
Homepage: https://cran.r-project.org/package=corrgrapher
Description: CRAN Package 'corrgrapher' (Explore Correlations Between Variables in a Machine LearningModel)
 When exploring data or models we often examine variables one by one.  This
 analysis is incomplete if the relationship between these variables is not
 taken into account. The 'corrgrapher' package facilitates simultaneous
 exploration of the Partial Dependence Profiles and the correlation between
 variables in the model.  The package 'corrgrapher' is a part of the
 'DrWhy.AI' universe.

Package: r-cran-corrmct
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-matrix, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-corrmct_0.2.0-1.ca2004.1_all.deb
Size: 33616
MD5sum: ff919391f168024298276c57c440ee9b
SHA1: 93cc0225dd0f2f3e438482c6d0dd5397ad763ea1
SHA256: dcb47d774f1c4af9b94a609bb5d1e9323cccf7a614f3a54a52b4cef596393376
SHA512: 1f14d6596a319719224b4063d2da4e02be4916c8c37d85b5c82680c26dd50deb716ba62986d7a6930a05fd9362f001d6c9f00d32c30d90f0a31ddd6ee1fe56be
Homepage: https://cran.r-project.org/package=corrMCT
Description: CRAN Package 'corrMCT' (Correlated Weighted Hochberg)
 Perform additional multiple testing procedure methods to p.adjust(), such as
 weighted Hochberg (Tamhane, A. C., & Liu, L., 2008)
 <doi:10.1093/biomet/asn018>, ICC adjusted Bonferroni method (Shi, Q., Pavey,
 E. S., & Carter, R. E., 2012) <doi:10.1002/pst.1514> and a new correlation
 corrected weighted Hochberg for correlated endpoints.

Package: r-cran-corrmeta
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1010
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-polycor, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-testthat, r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-corrmeta_1.0.0-1.ca2004.1_all.deb
Size: 301724
MD5sum: 69cbd10ab6d50d14c4f30a265bf0cff1
SHA1: 393aa353ef74960f190ec180f27d39fdeba6b90e
SHA256: 5a9475ea7413fc7e9d123e5b4eb037cadfbc9b30f71a891a9a62a39dba83961f
SHA512: aa0db21cc231a51a3a3593290749a9da5490c5f6f455dd866c1f22efb13fdfa1ffaf46022c42503b0ce877c14210c0401e6618968d589d64572423216c325b3c
Homepage: https://cran.r-project.org/package=corrmeta
Description: CRAN Package 'corrmeta' (Correlated Meta-Analysis)
 Performs Correlated Meta-Analysis ('corrmeta') across multiple OMIC scans,
 accounting for hidden non-independencies between elements of the scans due
 to overlapping samples, related samples, or other information.  For more
 information about the method, refer to the paper Province MA. (2013)
 <doi:10.1142/9789814447973_0023>.

Package: r-cran-corrmixed
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-psych
Filename: pool/dists/focal/main/r-cran-corrmixed_1.1-1.ca2004.1_all.deb
Size: 106256
MD5sum: e753dd0b819fbd19ed3611bc1c2f51a7
SHA1: 7b0572b0abbc1da49761999d0456e6d4bb1b384c
SHA256: c17a4917728e315b96790610188e63062d5aefc7116ccd1ac147dc3bfa88eb86
SHA512: 39875722208085b86a46485343b01dc507a51dc89346adc85f60a56e68aa2cb1e6402dd3f5fe41d4943919c92222a00e012ef27e3438237c9035971e2711a9ad
Homepage: https://cran.r-project.org/package=CorrMixed
Description: CRAN Package 'CorrMixed' (Estimate Correlations Between Repeatedly Measured Endpoints(E.g., Reliability) Based on Linear Mixed-Effects Models)
 In clinical practice and research settings in medicine and the behavioral
 sciences, it is often of interest to quantify the correlation of a
 continuous endpoint that was repeatedly measured (e.g., test-retest
 correlations, ICC, etc.). This package allows for estimating these
 correlations based on mixed-effects models. Part of this software has been
 developed using funding provided from the European Union's 7th Framework
 Programme for research, technological development and demonstration under
 Grant Agreement no 602552.

Package: r-cran-corrplot
Architecture: all
Version: 0.95-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5036
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-seriation, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-magrittr, r-cran-prettydoc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corrplot_0.95-1.ca2004.1_all.deb
Size: 3796640
MD5sum: 94f0c348a0567c7ad6bc7753ad4a6a98
SHA1: 2ebc18db577d91099a081b74c5a660fa1ccc8872
SHA256: 7a535994431e855602118d634e1e021176a005af57cccc72e75f717e772fb162
SHA512: ab7a9e854565e10634e9d1174c64c3865a10bbdf0c5f431ceaa8322deb75d9aae5117854097356ed91b3665fcd2a861b0462690ff76b55a1865fd13517a422c8
Homepage: https://cran.r-project.org/package=corrplot
Description: CRAN Package 'corrplot' (Visualization of a Correlation Matrix)
 Provides a visual exploratory tool on correlation matrix that supports
 automatic variable reordering to help detect hidden patterns among
 variables.

Package: r-cran-corrr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 638
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-seriation, r-cran-tibble
Suggests: r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-sparklyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corrr_0.4.4-1.ca2004.1_all.deb
Size: 465392
MD5sum: 94e85d9960ce0d134a807ad2f42ec718
SHA1: 000f1607b04406d40c8d8e15420bd2e4f7f0b904
SHA256: 3778714919d1e5dc6ce7e27d073301186ab93580737397656ab5a480994f22e5
SHA512: d968a3e206e6f0ef52ee722e97117bc3bd58be64e11c25a58b86f48349580622ca1ae7ed73756ba6a9873dd7c2a051e049f960b54fe9fe69cda505e234edd33a
Homepage: https://cran.r-project.org/package=corrr
Description: CRAN Package 'corrr' (Correlations in R)
 A tool for exploring correlations.  It makes it possible to easily perform
 routine tasks when exploring correlation matrices such as ignoring the
 diagonal, focusing on the correlations of certain variables against others,
 or rearranging and visualizing the matrix in terms of the strength of the
 correlations.

Package: r-cran-corrsieve
Architecture: all
Version: 1.6-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-corrsieve_1.6-9-1.ca2004.1_all.deb
Size: 60504
MD5sum: 9102bf82c8e26720eadbbe55c6d32e86
SHA1: 29a06aba57c01054a4514a64d84075c3d037d38b
SHA256: d9fb8f35dd42b98a12d628fdc7afdb38afd4b9b815508b6543691888efefac83
SHA512: 411ff9afe41d2c63ae9bd52c18a8414ccba0abf96a8fb4852a0b33f86b9d190e819efb6bd6e28fb6ec9a4ebfcd3c3062a43d319269071b88c6fdd6a24d112923
Homepage: https://cran.r-project.org/package=corrsieve
Description: CRAN Package 'corrsieve' (Software for Summarising and Evaluating STRUCTURE Output)
 Statistical summary of STRUCTURE output. STRUCTURE is a K-means clustering
 method for inferring population structure and assigning individuals to
 populations using genetic data. Pritchard JK, Stephens M, Donnelly PJ (2000)
 <DOI:10.1093/genetics/155.2.945>.
 <https://web.stanford.edu/group/pritchardlab/structure.html>.

Package: r-cran-corrtable
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc
Suggests: r-cran-waldo, r-cran-withr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corrtable_0.1.1-1.ca2004.1_all.deb
Size: 16832
MD5sum: eaf1fe2190a60e5b61ddc2f5b77a7061
SHA1: 4664b58ad0fba743047367413526b5469ac5d19a
SHA256: cc0d0e91e91d09b0aa4baea9e60cfb5418ed2d8091a1aa4fa07049cf9a5c00e6
SHA512: 2d663f0f1e172ef08a83c1f9e3a213f3a4b237aab25e56fa454790841c5a54369871c9db7b17173d8ff32a5c145f7b48f65dc530e69b77b9b72cfc240100142f
Homepage: https://cran.r-project.org/package=corrtable
Description: CRAN Package 'corrtable' (Creates and Saves Out a Correlation Table with SignificanceLevels Indicated)
 After using this, a publication-ready correlation table with p-values
 indicated will be created.  The input can be a full data frame; any string
 and Boolean terms will be dropped as part of functionality.  Correlations
 and p-values are calculated using the 'Hmisc' framework.  Output of the
 correlation_matrix() function is a table of strings; this gets saved out to
 a '.csv2' with the save_correlation_matrix() function for easy insertion
 into a paper.  For more details about the process, consult
 <https://paulvanderlaken.com/2020/07/28/publication-ready-correlation-matrix-significance-r/>.

Package: r-cran-corrtoolbox
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-binnonnor, r-cran-binordnonnor, r-cran-genord, r-cran-moments, r-cran-mvtnorm, r-cran-psych
Filename: pool/dists/focal/main/r-cran-corrtoolbox_1.6.4-1.ca2004.1_all.deb
Size: 91252
MD5sum: 5cc6ec82a13910bc5146ca5ecd053eb9
SHA1: b82a0e02090b64d07fbc8f101d648689aa4b189d
SHA256: c7ae647c9ff93b2f2fb7ff403700f10b90c60a6404d9efc7453325bd42bf0e7a
SHA512: 868386fba6bdb7fada31eda52c8facc90ab23b918aeb080e2b42cda2ee871119d9895a089767a54078e2739624858a3ec85657ae1eb217947fcd6b667f920bf1
Homepage: https://cran.r-project.org/package=CorrToolBox
Description: CRAN Package 'CorrToolBox' (Modeling Correlational Magnitude Transformations inDiscretization Contexts)
 Modeling the correlation transitions under specified distributional
 assumptions within the realm of discretization in the context of the latency
 and threshold concepts. The details of the method are explained in Demirtas,
 H. and Vardar-Acar, C. (2017) <DOI:10.1007/978-981-10-3307-0_4>.

Package: r-cran-corrviz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7336
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-visnetwork, r-cran-plotly, r-cran-dendser, r-cran-gganimate, r-cran-igraph, r-cran-ggraph, r-cran-circlize, r-cran-ggally, r-cran-purrr, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-gifski
Filename: pool/dists/focal/main/r-cran-corrviz_0.1.0-1.ca2004.1_all.deb
Size: 2525288
MD5sum: 0b344490f2adbc3066d7cc745c7b1703
SHA1: eb04a7c71154f6f901113363671b27a4790b71f5
SHA256: 808b14288eb87644c450a1d77f9fb41dd3742ad88227be355f610dc40ac740fb
SHA512: 5700f601f173bb9e1592c33093920e2d1e2cf0b6d3dd2089b6b7f61b282ee2fdbf7a2d380292647f4d3e04ed7211809198bd4157acf12acedfd7e6a15dbc985b
Homepage: https://cran.r-project.org/package=corrViz
Description: CRAN Package 'corrViz' (Visualise Correlations)
 An investigative tool designed to help users visualize correlations between
 variables in their datasets. This package aims to provide an easy and
 effective way to explore and visualize these correlations, making it easier
 to interpret and communicate results.

Package: r-cran-corset
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-forecast, r-cran-hts, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corset_0.1-5-1.ca2004.1_all.deb
Size: 27624
MD5sum: 5a989a9520f4bf7c1fbb88178917c075
SHA1: 9be0346c1a22e7a50b02c5cbf0add991cadf1321
SHA256: 0c199e524fe41f49bbe9e565ecb731a19d0e137e8522cd191a4ac27ccb8b707b
SHA512: 991336750f88b60da8c46d573689b4e99036aff9306dee7d9db07cc868fdcc997ed1385c87ed9b821e14a44994bbce630747d71892a46f3449f968d3ade157c2
Homepage: https://cran.r-project.org/package=corset
Description: CRAN Package 'corset' (Arbitrary Bounding of Series and Time Series Objects)
 Set of methods to constrain numerical series and time series within
 arbitrary boundaries.

Package: r-cran-cortest
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-igraph, r-cran-clustergeneration, r-cran-matrix, r-bioc-biobase, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cortest_1.0.7-1.ca2004.1_all.deb
Size: 131664
MD5sum: 0353529d57fdd3ea4bfc28da13ef778b
SHA1: a453fa5cc5b9a988fcf7af39a8c74dc7e59b9860
SHA256: 22c297604c39021b29697cac916296d520ac1babe033af7428937f5a828a7294
SHA512: 9ff14ec70c06e0c6c021a3399a9fec96de7c5e42490cb2e079dda6c38f02f9c5c359c6c83dd6a2a1ebf950122d7edb5f93143e0cc5200bad9b917e67e5c1cb9c
Homepage: https://cran.r-project.org/package=corTest
Description: CRAN Package 'corTest' (Robust Tests for Equal Correlation)
 There are 6 novel robust tests for equal correlation. They are all based on
 logistic regressions. The score statistic U is proportion to difference of
 two correlations based on different types of correlation in 6 methods. The
 ST1() is based on Pearson correlation. ST2() improved ST1() by using median
 absolute deviation. ST3() utilized type M correlation and ST4() used
 Spearman correlation.  ST5() and ST6() used two different ways to combine
 ST3() and ST4().  We highly recommend ST5() according to the article titled
 ''New Statistical Methods for Constructing Robust Differential Correlation
 Networks to characterize the interactions among microRNAs'' published in
 Scientific Reports.  Please see the reference: Yu et al. (2019)
 <doi:10.1038/s41598-019-40167-8>.

Package: r-cran-corto
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3986
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-gplots, r-cran-knitr, r-cran-rmarkdown, r-cran-pbapply, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-corto_1.2.4-1.ca2004.1_all.deb
Size: 3587780
MD5sum: 76367a2f7bcccf2360318dfb3d2094d4
SHA1: d843ca6348374879c000e321eab62b9fbb71d38a
SHA256: d1c1791b62e2bdc5ce637957278529280c8df27716ce98541026fc140d856a5f
SHA512: 433605fc73f762f653254056633739249953169b44af4f5741b30398b1be218e12c04ffbf72e64be97a3eb82f8d5f06b82ecd3f3334076874ae5229b11dc115c
Homepage: https://cran.r-project.org/package=corto
Description: CRAN Package 'corto' (Inference of Gene Regulatory Networks)
 We present 'corto' (Correlation Tool), a simple package to infer gene
 regulatory networks and visualize master regulators from gene expression
 data using DPI (Data Processing Inequality) and bootstrapping to recover
 edges.  An initial step is performed to calculate all significant edges
 between a list of source nodes (centroids) and target genes.  Then all
 triplets containing two centroids and one target are tested in a DPI step
 which removes edges. A bootstrapping process then calculates the robustness
 of the network, eventually re-adding edges previously removed by DPI.  The
 algorithm has been optimized to run outside a computing cluster, using a
 fast correlation implementation. The package finally provides functions to
 calculate network enrichment analysis from RNA-Seq and ATAC-Seq signatures
 as described in the article by Giorgi lab (2020)
 <doi:10.1093/bioinformatics/btaa223>.

Package: r-cran-cortools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cortools_1.0-1.ca2004.1_all.deb
Size: 32512
MD5sum: 3ec11418fd209bea5d81db577bd264ce
SHA1: e7be1575fe83d9f15a366e3d200b8f7438e2ffb0
SHA256: 4d3564c90d657628b890abb82e0b1f167231bbfc9c46380a7dfc11099cb82a02
SHA512: 757ebdb311cbfc2aa32617f4c9d55361ec2e5bfce521822d51391d5731ed08837e36cd9fe47db6da43073116d14753b6659d5da5dd34f27364048e5f34da0545
Homepage: https://cran.r-project.org/package=corTools
Description: CRAN Package 'corTools' (Tools for processing data after a Genome Wide Association Study)
 Designed for analysis of the results of a Genome Wide Association Study.
 Includes tools to pull lists of Chromosome number and SNP position below a
 certain significance threshold, refine gene networks (including data I/O for
 Cytoscape), and check SNP base pair changes.

Package: r-cran-corx
Architecture: all
Version: 1.0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crayon, r-cran-ggcorrplot, r-cran-glue, r-cran-clipr, r-cran-tidyselect, r-cran-moments, r-cran-ggpubr, r-cran-ggplot2, r-cran-ppcor
Suggests: r-cran-covr, r-cran-papaja, r-cran-psych, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-corx_1.0.7.2-1.ca2004.1_all.deb
Size: 118640
MD5sum: 07585b2714671ad3f9801e9b4fabe285
SHA1: 5e7d6cde3f734cb0012dfa6d718cdac67c98a265
SHA256: 3e228a49f1f28b81a821ed346507561cd26f04b1989270fc10356f4984d21794
SHA512: abb505a46e28e6c1d3077cac505aa1f6c26c1e575cfd2e5dac3d9205b287f7beffc55875b54621880e2067c766e5bc8f28e433674762f6885f1b54d298ebef7c
Homepage: https://cran.r-project.org/package=corx
Description: CRAN Package 'corx' (Create and Format Correlation Matrices)
 Create correlation (or partial correlation) matrices. Correlation matrices
 are formatted with significance stars based on user preferences. Matrices of
 coefficients, p-values, and number of pairwise observations are returned.
 Send resultant formatted matrices to the clipboard to be pasted into excel
 and other programs. A plot method allows users to visualize correlation
 matrices created with 'corx'.

Package: r-cran-cosa
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 579
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cosa_2.1.0-1.ca2004.1_all.deb
Size: 364284
MD5sum: a1dead9e13778f240d693b9d60ccb034
SHA1: 03e7ddfce1e2dd1fbd7e61541155950f1d756472
SHA256: 82006731c180e64f8d29e21c7533d10faa113b24822d0e0bc6e658dd2a5c89b5
SHA512: 5c103c6269f20007e48241e72931b078cd57f4fc9624e0fb36303054d3e6fceaf256036c5b43ffa7f058e54ed64a656da8d166020eb9ef30f6f204630bcbf01b
Homepage: https://cran.r-project.org/package=cosa
Description: CRAN Package 'cosa' (Bound Constrained Optimal Sample Size Allocation)
 Implements bound constrained optimal sample size allocation (BCOSSA)
 framework described in Bulus & Dong (2021)
 <doi:10.1080/00220973.2019.1636197> for power analysis of multilevel
 regression discontinuity designs (MRDDs) and multilevel randomized trials
 (MRTs) with continuous outcomes.  Minimum detectable effect size (MDES) and
 power computations for MRDDs allow polynomial functional form specification
 for the score variable (with or without interaction with the treatment
 indicator). See Bulus (2021) <doi:10.1080/19345747.2021.1947425>.

Package: r-cran-cosine
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2965
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-genalg
Filename: pool/dists/focal/main/r-cran-cosine_2.1-1.ca2004.1_all.deb
Size: 2995840
MD5sum: 0541713e208597505e995b8c65e703fe
SHA1: b18ad7f6adb487e0ca777e9170acaa3db67c1b4f
SHA256: d0d5ef8af16b2c854039db19e345137fa7fb24886649dce874f2cddd85722ec7
SHA512: 646c8e3021b499df14da456e986f9cd11c5ef7411873b860807d57c9f389e0f2be40ec4c97fd977fb7e1eca0ff82e18aba5988c6a532b35af62b21903b6bc38c
Homepage: https://cran.r-project.org/package=COSINE
Description: CRAN Package 'COSINE' (COndition SpecIfic sub-NEtwork)
 To identify the globally most discriminative subnetwork from gene expression
 profiles using an optimization model and genetic algorithm

Package: r-cran-cosinor2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cosinor, r-cran-cowplot, r-cran-scales, r-cran-magrittr, r-cran-stringr, r-cran-ggplot2, r-cran-matrixstats, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cosinor2_0.2.1-1.ca2004.1_all.deb
Size: 158580
MD5sum: 13068aa19a1c2bc546c9b49c38c11c22
SHA1: 48e21376b6a8abeef519476c83591fa7a864d3e8
SHA256: 43517f82f672ed10f7932da1dbb4e2cf5e04a09d1f147537e7a63b65b362ba49
SHA512: 3fb6d97c6ba8e164f600c34fcef08aeb4f540f5619036dfc09b9d6d149250edd15153820e741325654f79f1556bc56c9c322795ea1a12e925dc3a4edbc1c8bad
Homepage: https://cran.r-project.org/package=cosinor2
Description: CRAN Package 'cosinor2' (Extended Tools for Cosinor Analysis of Rhythms)
 Statistical procedures for calculating population–mean cosinor,
 non–stationary cosinor, estimation of best–fitting period, tests of
 population rhythm differences and more. See Cornélissen, G. (2014).
 <doi:10.1186/1742-4682-11-16>.

Package: r-cran-cosinor
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cosinor_1.2.3-1.ca2004.1_all.deb
Size: 94972
MD5sum: edda365d96cbda8bb3d65c41ce8d81c0
SHA1: aaba89e790d2c9762197356f75b873e95d762a0d
SHA256: 43df955e43069cd20aebecc7924affbfbb8e703dc200149861a02cb7bdd05941
SHA512: d3eb30371f1af3e72d46e2242dd4508d1fb358c231c01e1c4f9e1e80ef1796639839fb479e203a55f25376de2663ecba00f9e16a9877b1e0dbaf4b87b54ea270
Homepage: https://cran.r-project.org/package=cosinor
Description: CRAN Package 'cosinor' (Tools for Estimating and Predicting the Cosinor Model)
 A set of simple functions that transforms longitudinal data to estimate the
 cosinor linear model as described in Tong (1976).  Methods are given to
 summarize the mean, amplitude and acrophase, to predict the mean annual
 outcome value, and to test the coefficients.

Package: r-cran-cosmicsig
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1802
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-icams, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-cosmicsig_1.1.1-1.ca2004.1_all.deb
Size: 1736876
MD5sum: 338238afc8bf95441a946c019234c399
SHA1: ab79a8dc1226c348a72db35bc2c36bd4851b7e17
SHA256: 8e88c3f91987a652210d1c620975fa9a410ab44a6851d56b347396476c9d9a20
SHA512: 5baa67d550b50b01381886b60fb92c38ac238bde2dd1693f066032f996b33734921f0dc2258aed1100415d39b7999c4270789614e0031ae5b9942648380ae570
Homepage: https://cran.r-project.org/package=cosmicsig
Description: CRAN Package 'cosmicsig' (Mutational Signatures from COSMIC (Catalogue of SomaticMutations in Cancer))
 A data package with 2 main package variables: 'signature' and 'etiology'.
 The 'signature' variable contains the latest mutational signature profiles
 released on COSMIC <https://cancer.sanger.ac.uk/signatures/> for 3 mutation
 types: * Single base substitutions in the context of preceding and following
 bases, * Doublet base substitutions, and * Small insertions and deletions.
 The 'etiology' variable provides the known or hypothesized causes of
 signatures.  'cosmicsig' stands for COSMIC signatures. Please run
 ?'cosmicsig' for more information.

Package: r-cran-cosmofns
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cosmofns_1.1-1-1.ca2004.1_all.deb
Size: 44196
MD5sum: 39a286a2f9521480364ff9ffa129e1eb
SHA1: e5b297ed4b2ca95cfe9cbd2e0610baf7498cfae8
SHA256: 1a7f6f36703a207bffca66e7afc618a291bcf0774a063441b6988e4618348f4a
SHA512: 6c6253ea98b2391a84c267ef08aed15a9cccfaec22bf761e9803bf166bcca9a00d466c2ab81574d507b3acb0b9efaee8d9c78905cf51be6dddbac34eefbf41ee
Homepage: https://cran.r-project.org/package=cosmoFns
Description: CRAN Package 'cosmoFns' (Functions for Cosmological Distances, Times, Luminosities, Etc)
 Package encapsulates standard expressions for distances, times,
 luminosities, and other quantities useful in observational cosmology,
 including molecular line observations.  Currently coded for a flat universe
 only.

Package: r-cran-cosmos
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-nloptr, r-cran-mba, r-cran-matrix, r-cran-mar, r-cran-matrixcalc, r-cran-mvtnorm, r-cran-cowplot, r-cran-directlabels, r-cran-animation, r-cran-ggquiver, r-cran-pracma, r-cran-plot3d
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cosmos_2.1.0-1.ca2004.1_all.deb
Size: 2291668
MD5sum: 15b7dd794f326c0c8007501f31ad2df0
SHA1: 34131ac07fd62f2c975ad8b24d463326ca386f6d
SHA256: 3d422f335be1693e71e19830550a6509aa1ec2137f80950fe08433094834a019
SHA512: 1d429b3ba34168c2939dbaf248c236a62ea6bc8f98ccb244ea41387abe54033bb54db55a1a407cd160c75fb0291965816e5730abfb37188e46e402def08c9493
Homepage: https://cran.r-project.org/package=CoSMoS
Description: CRAN Package 'CoSMoS' (Complete Stochastic Modelling Solution)
 Makes univariate, multivariate, or random fields simulations precise and
 simple. Just select the desired time series or random fields’ properties and
 it will do the rest. CoSMoS is based on the framework described in
 Papalexiou (2018, <doi:10.1016/j.advwatres.2018.02.013>), extended for
 random fields in Papalexiou and Serinaldi (2020,
 <doi:10.1029/2019WR026331>), and further advanced in Papalexiou et al.
 (2021, <doi:10.1029/2020WR029466>) to allow fine-scale space-time simulation
 of storms (or even cyclone-mimicking fields).

Package: r-cran-cosso
Architecture: all
Version: 2.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quadprog, r-cran-rglpk, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-cosso_2.1-2-1.ca2004.1_all.deb
Size: 187836
MD5sum: b26630f56c10e32a1d893d213ec0f507
SHA1: 7f9c867037c16fcf3109259a803fdb4f829a5c1c
SHA256: 39c218ed4bc82c7fabbd459d7f08d23679610ebb6c80a5b11c12bb3e882c68a6
SHA512: fe2e6db6fe3a13edf8802584fb5a48efc4df69de849d8262d0f70773a5a31ed2cded643ccf2b1f4f9904c98bd9fa1eff74d521ee08104d614a85b50f9e4a1d36
Homepage: https://cran.r-project.org/package=cosso
Description: CRAN Package 'cosso' (Fit Regularized Nonparametric Regression Models Using COSSOPenalty)
 The COSSO regularization method automatically estimates and selects
 important function components by a soft-thresholding penalty in the context
 of smoothing spline ANOVA models. Implemented models include mean
 regression, quantile regression, logistic regression and the Cox regression
 models.

Package: r-cran-cost
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-cost_0.1.0-1.ca2004.1_all.deb
Size: 277508
MD5sum: dd04ed27f9882d98b4ab6b3b66efc413
SHA1: e9ac47afb3f89c924f52d71f08129518712e0921
SHA256: 45a5ee120cd5cc37a871572f96b262676872e5bec8b02fee9bfa1dd11450fcb2
SHA512: 81d5da099f1054b6d44b8c76cf693dc946c407037c9f706667c5bebb88a0017b3a04eba727b7f7967c2b35469f589a3d1ed0c2ecb12953f074a08a17954b8fc1
Homepage: https://cran.r-project.org/package=COST
Description: CRAN Package 'COST' (Copula-Based Semiparametric Models for Spatio-Temporal Data)
 Parameter estimation, one-step ahead forecast and new location prediction
 methods for spatio-temporal data.

Package: r-cran-costat
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-costat_2.4.1-1.ca2004.1_all.deb
Size: 224092
MD5sum: 17677e66539abb095467664c7c331775
SHA1: 448bf603786b2bdbef56a993821e9d43adbed35a
SHA256: 5b15d2fc0db9ce0c9a246f1c13d3e4ee13dab66354be0c51d57b2187ea288d43
SHA512: d28bc5ef4e35c7ec648154e6f050ea77de59e2d2409044e20ae374267e218a88ba358802df4aafb27457fcad6509a1eaedda9df456dfd5b8b1eed5b5625a675e
Homepage: https://cran.r-project.org/package=costat
Description: CRAN Package 'costat' (Time Series Costationarity Determination)
 Contains functions that can determine whether a time series is second-order
 stationary or not (and hence evidence for locally stationarity). Given two
 non-stationary series (i.e.  locally stationary series) this package can
 then discover time-varying linear combinations that are second-order
 stationary.  Cardinali, A. and Nason, G.P. (2013)
 <doi:10.18637/jss.v055.i01>.

Package: r-cran-cosw
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-cosw_0.1-1.ca2004.1_all.deb
Size: 19044
MD5sum: 8fd0566e2b9e063d5c981e84af84d5c3
SHA1: b114aa20a51ca067bb3223cfe4f852379f37c1f3
SHA256: cce0ab421672ccd5267ebe7edec4eb8824dbd95102edaf1e5d0e17b24051b2dd
SHA512: a0366010baae355bbbf8adb51dbc07d6bfa138055108f2087f729c7a079c21f92a9cc668eed095262ec9b8294248ee68045b1ec610345d8db9719af61d17db3d
Homepage: https://cran.r-project.org/package=CosW
Description: CRAN Package 'CosW' (The CosW Distribution)
 Density, distribution function, quantile function, random generation and
 survival function for the Cosine Weibull Distribution as defined by SOUZA,
 L. New Trigonometric Class of Probabilistic Distributions. 219 p.  Thesis
 (Doctorate in Biometry and Applied Statistics) - Department of Statistics
 and Information, Federal Rural University of Pernambuco, Recife, Pernambuco,
 2015 (available at
 <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>)
 and BRITO, C. C. R. Method Distributions generator and Probability
 Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied
 Statistics) - Department of Statistics and Information, Federal Rural
 University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).

Package: r-cran-cotima
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7072
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openmx, r-cran-ctsem, r-cran-lavaan, r-cran-foreach, r-cran-mbess, r-cran-crayon, r-cran-psych, r-cran-doparallel, r-cran-rootsolve, r-cran-abind, r-cran-rpushbullet, r-cran-openxlsx, r-cran-zcurve, r-cran-scholar, r-cran-stringi, r-cran-mass
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-cotima_0.8.0-1.ca2004.1_all.deb
Size: 4279536
MD5sum: 2a04b3ef97a2d7ceb629725435d46ee3
SHA1: b7d5ae063ecb58a89a929e78b7a1051aa33be37e
SHA256: f8b56d93b1ef3954270818f43fd7aab199883564b10fb9859a47dffa619325d5
SHA512: 0b150bf7612b363a481ecabd02740fd8ef986f1f09c7f0021d65b3645ffaf1c10ae6fba042db9f82dd89da5fa464690ecdf1d2f16bd42167f210a7796407f67c
Homepage: https://cran.r-project.org/package=CoTiMA
Description: CRAN Package 'CoTiMA' (Continuous Time Meta-Analysis ('CoTiMA'))
 The 'CoTiMA' package performs meta-analyses of correlation matrices of
 repeatedly measured variables taken from studies that used different time
 intervals. Different time intervals between measurement occasions impose
 problems for meta-analyses because the effects (e.g. cross-lagged effects)
 cannot be simply aggregated, for example, by means of common fixed or random
 effects analysis. However, continuous time math, which is applied in
 'CoTiMA', can be used to extrapolate or intrapolate the results from all
 studies to any desired time lag. By this, effects obtained in studies that
 used different time intervals can be meta-analyzed. 'CoTiMA' fits models to
 empirical data using the structural equation model (SEM) package 'ctsem',
 the effects specified in a SEM are related to parameters that are not
 directly included in the model (i.e., continuous time parameters; together,
 they represent the continuous time structural equation model, CTSEM).
 Statistical model comparisons and significance tests are then performed on
 the continuous time parameter estimates. 'CoTiMA' also allows analysis of
 publication bias (Egger's test, PET-PEESE estimates, zcurve analysis etc.)
 and analysis of statistical power (post hoc power, required sample sizes).
 See Dormann, C., Guthier, C., & Cortina, J. M. (2019)
 <doi:10.1177/1094428119847277>.  and Guthier, C., Dormann, C., & Voelkle, M.
 C. (2020) <doi:10.1037/bul0000304>.

Package: r-cran-cotram
Architecture: all
Version: 0.5-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tram, r-cran-mlt, r-cran-variables, r-cran-basefun, r-cran-alabama, r-cran-matrix, r-cran-survival, r-cran-qrng
Suggests: r-cran-th.data, r-cran-knitr, r-cran-lattice, r-cran-colorspace, r-cran-multcomp, r-cran-mvtnorm, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-cotram_0.5-2-1.ca2004.1_all.deb
Size: 173356
MD5sum: 488dfd7decfe1a914dedbff802f872d8
SHA1: 20ed8643d6bf1ca38820bf127c03603252bdbbb7
SHA256: 643fd84b672bde6daa7d9a886798dca1d76e37b749b2c60516d7b203aa511658
SHA512: a5de34d90b57b4ffe4b0a42525265ad80123ec8dc9f180508733161a54d9e6b1b02f038f6a1f13b2bb22b8a79f25c2d88665b51ef79f1db71501c3c7b2bb5f8f
Homepage: https://cran.r-project.org/package=cotram
Description: CRAN Package 'cotram' (Count Transformation Models)
 Count transformation models featuring parameters interpretable as discrete
 hazard ratios, odds ratios, reverse-time discrete hazard ratios, or
 transformed expectations.  An appropriate data transformation for a count
 outcome and regression coefficients are simultaneously estimated by
 maximising the exact discrete log-likelihood using the computational
 framework provided in package 'mlt', technical details are given in
 Siegfried & Hothorn (2020) <DOI:10.1111/2041-210X.13383>.  The package also
 contains an experimental implementation of multivariate count transformation
 models with an application to multi-species distribution models
 <DOI:10.48550/arXiv.2201.13095>.

Package: r-cran-cotrend
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts
Filename: pool/dists/focal/main/r-cran-cotrend_1.0.2-1.ca2004.1_all.deb
Size: 29728
MD5sum: 14368a45d07c800fd1d19b8a262c092a
SHA1: d4d9fe20053f7a63dcd5b535ce05a4af231504f8
SHA256: b533537fbe5e6fd1d9b900765c486da7d27ea51a02bb1ac7b423a6fd6f2ce6fe
SHA512: cd5088995f135c93a3d355039b8a5db508ef5c24cda6669447356466b2cfd3998337c8b8da6a7f7ab174c90b9fb5478812f3d666b3e93bd6197aff5a85dc4aae
Homepage: https://cran.r-project.org/package=cotrend
Description: CRAN Package 'cotrend' (Consistent Co-Trending Rank Selection)
 Implements cointegration/co-trending rank selection algorithm in Guo and
 Shintani (2013) "Consistent co-trending rank selection when both stochastic
 and nonlinear deterministic trends are present".  The Econometrics Journal
 16: 473-483 <doi:10.1111/j.1368-423X.2012.00392.x>.  Numbered examples
 correspond to Feb 2011 preprint
 <http://www.fas.nus.edu.sg/ecs/events/seminar/seminar-papers/05Apr11.pdf>.

Package: r-cran-couchdb
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 751
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-bitops, r-cran-httr, r-cran-rjson
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-couchdb_1.4.1-1.ca2004.1_all.deb
Size: 235776
MD5sum: 3f1a357d354313219511ea33a2bb2c1c
SHA1: a40f7766475ec66f233eb0b5ac88e739a79f198b
SHA256: 04481bbb1b2a332a6fc7a993865efabae84dec55612a7efb243db34ca4ddb7c7
SHA512: edd227582556650bbdf8532e3dbbf76cc46e44260845c09a256acd39d4dd324c578252471408873dbfb016f9e8b182cdb016fa713d1d3a323b953f0e1099d18e
Homepage: https://cran.r-project.org/package=couchDB
Description: CRAN Package 'couchDB' (Connect to and Work with CouchDB Databases)
 Interface to the couchDB document database <http://couchdb.apache.org>.

Package: r-cran-count
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-msme, r-cran-sandwich, r-cran-mass
Filename: pool/dists/focal/main/r-cran-count_1.3.5-1.ca2004.1_all.deb
Size: 376720
MD5sum: 18eb61645353fc674c4d28a3e115bb78
SHA1: 262733a82b14615f120db20ed65f0e0b833e751f
SHA256: 88cace80e588024a12cf1847606103d8cdba4401a8c16c02048dc0893fe9160f
SHA512: 7ac1d9143a4fd672bf0fb511feeea32531ac1daabcc8954de4d38d45b796e7d724ad8963a3bb2e619ee08b936c2ec79e496e6901c060739dcb5ab67541ca8b53
Homepage: https://cran.r-project.org/package=COUNT
Description: CRAN Package 'COUNT' (Functions, Data and Code for Count Data)
 Functions, data and code for Hilbe, J.M. 2011. Negative Binomial Regression,
 2nd Edition (Cambridge University Press) and Hilbe, J.M. 2014. Modeling
 Count Data (Cambridge University Press).

Package: r-cran-countcolors
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2903
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colordistance, r-cran-png, r-cran-jpeg
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-countcolors_0.9.1-1.ca2004.1_all.deb
Size: 2243564
MD5sum: 3636da979a88eb30d8e00e4de7a5acca
SHA1: 96d52bd0d683856b9c7db5bbed52425f1dbcf5e2
SHA256: 34eb9daefefbdc6407ca8b5b02c4dda10f8cdf47d13e212875f0765e146ea093
SHA512: 7219628d9247a66f19c00695039ea31fac3f5073b5204d15e79a71789298892b8de99ec917f7fa0b57a299deb7a9c03cc2732c03da7bef4a1db73fd94f722fdb
Homepage: https://cran.r-project.org/package=countcolors
Description: CRAN Package 'countcolors' (Locates and Counts Pixels Within Color Range(s) in Images)
 Counts colors within color range(s) in images, and provides a masked version
 of the image with targeted pixels changed to a different color. Output
 includes the locations of the pixels in the images, and the proportion of
 the image within the target color range with optional background masking.
 Users can specify multiple color ranges for masking.

Package: r-cran-countdm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lamw, r-cran-numbers, r-cran-maxlik, r-cran-misctools
Filename: pool/dists/focal/main/r-cran-countdm_0.1.0-1.ca2004.1_all.deb
Size: 74652
MD5sum: 0092824bb9315b8f4fb7d3fa1e2d4218
SHA1: 353e7cec14eebb2ef82cd52b3d9584a1aaef815b
SHA256: da9bf2de0d81e5ea5c9a2b6d5a14c2c911af9f54d46e89b12b65827cb474c24c
SHA512: 67cf12356d013b5c7e50ef90897c40c4fdc29800be295b68174f0fd76d598c2d09044e58866e96cafbd38dabe64809ea9588c8fa1eebe87fc224f8e099cc93e8
Homepage: https://cran.r-project.org/package=countDM
Description: CRAN Package 'countDM' (Estimation of Count Data Models)
 The maximum likelihood estimation (MLE) of the count data models along with
 standard error of the estimates and Akaike information model section
 criterion are provided. The functions allow to compute the MLE for the
 following distributions such as the Bell distribution, the Borel
 distribution, the Poisson distribution, zero inflated Bell distribution,
 zero inflated Bell Touchard distribution, zero inflated Poisson
 distribution, zero one inflated Bell distribution and zero one inflated
 Poisson distribution. Moreover, the probability mass function (PMF),
 distribution function (CDF), quantile function (QF) and random numbers
 generation of the Bell Touchard and zero inflated Bell Touchard distribution
 are also provided.

Package: r-cran-countdown
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-prismatic, r-cran-whisker
Suggests: r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-countdown_0.4.0-1.ca2004.1_all.deb
Size: 109272
MD5sum: 5f45e34eb321e72478715246b89a507b
SHA1: 43e5f6c2a358e5445cc73162e35a01ba5801fac3
SHA256: 16050680fbbb15d94d761b20b433dd5af7ed96f395026be8c1bb99c540935196
SHA512: ca51dab7f631b1e872cdd8de1b3427c04c635e3802cd0f6ef7a2b69ab45f90ae078dc0b11a35a362f8209bd344bb51d3f753902159ec7dbfa9f0b13ee4962be9
Homepage: https://cran.r-project.org/package=countdown
Description: CRAN Package 'countdown' (A Countdown Timer for HTML Presentations, Documents, and WebApps)
 A simple countdown timer for slides and HTML documents written in 'R
 Markdown' or 'Quarto'. Integrates fully into 'Shiny' apps. Countdown to
 something amazing.

Package: r-cran-counterfactual
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-survival, r-cran-hmisc, r-cran-foreach, r-cran-dorng, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-counterfactual_1.2-1.ca2004.1_all.deb
Size: 467096
MD5sum: 394fe99fb8f434ecfad8eec846fb9cdc
SHA1: 0ab468137e479710db34f31ae130978c3cdf1e90
SHA256: f48d97c459875c30a0ccc2170d12b5ecdac35b01d4b6013f1d4cf5c109fad9c4
SHA512: 93766a220c90c5331aafe6a0571f4b485f6a2e0a5d53041c5e9452cd11c4c73fb099d2e74db0c79e43aaeb7136ef179aa3d631a59b478e42c7c157636a192f3c
Homepage: https://cran.r-project.org/package=Counterfactual
Description: CRAN Package 'Counterfactual' (Estimation and Inference Methods for Counterfactual Analysis)
 Implements the estimation and inference methods for counterfactual analysis
 described in Chernozhukov, Fernandez-Val and Melly (2013)
 <DOI:10.3982/ECTA10582> "Inference on Counterfactual Distributions,"
 Econometrica, 81(6). The counterfactual distributions considered are the
 result of changing either the marginal distribution of covariates related to
 the outcome variable of interest, or the conditional distribution of the
 outcome given the covariates. They can be applied to estimate quantile
 treatment effects and wage decompositions.

Package: r-cran-counterfactuals
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1373
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-checkmate, r-cran-statmatch, r-cran-iml, r-cran-data.table, r-cran-paradox, r-cran-miesmuschel, r-cran-bbotk
Suggests: r-cran-gower, r-cran-randomforest, r-cran-ggally, r-cran-trtf, r-cran-testthat, r-cran-mass, r-cran-r.rsp, r-cran-cowplot, r-cran-covr, r-cran-ggplot2, r-cran-keras, r-cran-rchallenge, r-cran-gamlss.data, r-cran-partykit, r-cran-mlt, r-cran-variables, r-cran-basefun, r-cran-rmarkdown, r-cran-rpart, r-cran-mlr3, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-tidymodels, r-cran-caret, r-cran-mlr
Filename: pool/dists/focal/main/r-cran-counterfactuals_0.1.6-1.ca2004.1_all.deb
Size: 1061144
MD5sum: 0647f6fe7cf4e909336e347a89316231
SHA1: ddfce70bc9246d4bcb2e4d32daf924ce1c3acb75
SHA256: 7ba17c595d635cb30680ed9d11452a0cb60a48311fe01a36feb095dd3cbf02a4
SHA512: 9a67a41b907243a68f212bebf11ecd8d0208303213e0fe8ed1fcaae8200451224b4af4765361bddb8443823f1db68fbf0e90b85418e4348f385d55db7993fd5a
Homepage: https://cran.r-project.org/package=counterfactuals
Description: CRAN Package 'counterfactuals' (Counterfactual Explanations)
 Modular and unified R6-based interface for counterfactual explanation
 methods.  The following methods are currently implemented: Burghmans et al.
 (2022) <doi:10.48550/arXiv.2104.07411>, Dandl et al. (2020)
 <doi:10.1007/978-3-030-58112-1_31> and Wexler et al. (2019)
 <doi:10.1109/TVCG.2019.2934619>.  Optional extensions allow these methods to
 be applied to a variety of models and use cases.  Once generated, the
 counterfactuals can be analyzed and visualized by provided functionalities.

Package: r-cran-counternull
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-effsize, r-cran-ggplot2, r-cran-randomizr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-counternull_0.2.12-1.ca2004.1_all.deb
Size: 159712
MD5sum: 0ee377ce69ef60604b4ade13e0eb3675
SHA1: cbf8314bb8826698a9d4ecb39b2f88f31761197a
SHA256: fd9416c1de8bdca086ba9c5553190f41c407666f71d6ac1e3e7fec69fc5896b7
SHA512: ba58340fd1faf6a65b9fad6b2f1495caa3accbcc3fc62e242b0d709273c20c74c4f9e81679de36455bc96f69092aec7390908a2394ebdc94bb5a68fdb450bec8
Homepage: https://cran.r-project.org/package=Counternull
Description: CRAN Package 'Counternull' (Randomization-Based Inference)
 Randomization-Based Inference for customized experiments.  Computes
 Fisher-Exact P-Values alongside null randomization distributions. Retrieves
 counternull sets and generates counternull distributions. Computes Fisher
 Intervals and Fisher-Adjusted P-Values.  Package includes visualization of
 randomization distributions and Fisher Intervals. Users can input custom
 test statistics and their own methods for randomization.  Rosenthal and
 Rubin (1994) <doi:10.1111/j.1467-9280.1994.tb00281.x>.

Package: r-cran-countfitter
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2789
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-shiny, r-cran-pscl
Suggests: r-cran-dplyr, r-cran-dt, r-cran-gridextra, r-cran-knitr, r-cran-pander, r-cran-reshape2, r-cran-rmarkdown, r-cran-shinythemes, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-countfitter_1.4-1.ca2004.1_all.deb
Size: 981912
MD5sum: c556b7862eb7ced56bcdf10ee9369e22
SHA1: 98f6e711a50666a16f50ce1387f8044c9040742b
SHA256: bf02611c0971cca6ccef5835b713c9c24f39c6b537aed704bf12f20e6b49bdde
SHA512: b814e85da0186646022d4e2724cce720f2352d6e9c5fc8177a54ecaa298dc3621dab74ce347ed221846d5801ee9769418f92c325c9332e6b16191a80e2756602
Homepage: https://cran.r-project.org/package=countfitteR
Description: CRAN Package 'countfitteR' (Comprehensive Automatized Evaluation of Distribution Models forCount Data)
 A large number of measurements generate count data. This is a statistical
 data type that only assumes non-negative integer values and is generated by
 counting. Typically, counting data can be found in biomedical applications,
 such as the analysis of DNA double-strand breaks.  The number of DNA
 double-strand breaks can be counted in individual cells using various
 bioanalytical methods. For diagnostic applications, it is relevant to record
 the distribution of the number data in order to determine their biomedical
 significance (Roediger, S. et al., 2018.  Journal of Laboratory and
 Precision Medicine. <doi:10.21037/jlpm.2018.04.10>). The software offers
 functions for a comprehensive automated evaluation of distribution models of
 count data. In addition to programmatic interaction, a graphical user
 interface (web server) is included, which enables fast and interactive
 data-scientific analyses. The user is supported in selecting the most
 suitable counting distribution for his own data set.

Package: r-cran-countgmifs
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-countgmifs_0.0.2-1.ca2004.1_all.deb
Size: 279248
MD5sum: 3092c205e564a743d53ebd9b884ddc8c
SHA1: c3d7d534dc1434a004510d9cc72214e540733a02
SHA256: a5f43b847b788d1a7c828b60200ccbe3408a3fe17b3c08e10072b9109d6bceaf
SHA512: bed3e48fbf302e2d3313f5052ec99ec2f7cca0662f513d62c144dda5ccf46c8d570df5d6c7720d4b008e6285167bfad61ee1fd90ce9e1940c293c200f50a8052
Homepage: https://cran.r-project.org/package=countgmifs
Description: CRAN Package 'countgmifs' (Discrete Response Regression for High-Dimensional Data)
 Provides a function for fitting Poisson and negative binomial regression
 models when the number of parameters exceeds the sample size, using the the
 generalized monotone incremental forward stagewise method.

Package: r-cran-counthmm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-counthmm_0.1.0-1.ca2004.1_all.deb
Size: 44876
MD5sum: c9cb5c0446d89facd95778e05f4c4ede
SHA1: 04834086f5db76819149ddb247907f0309507056
SHA256: 1560dbb0815034d0a6722355df095690f7ca117737d2d423f85ad549a222f1ad
SHA512: 946f5833fd7ed0dc07cf59868cfe8545ec5985ed29e81e79242394fdb097241340553e42bf1f93fe423a863a44a38c156a7ac3b8838b494b26a04e7f2c55286b
Homepage: https://cran.r-project.org/package=countHMM
Description: CRAN Package 'countHMM' (Penalized Estimation of Flexible Hidden Markov Models for TimeSeries of Counts)
 Provides tools for penalized estimation of flexible hidden Markov models for
 time series of counts w/o the need to specify a (parametric) family of
 distributions. These include functions for model fitting, model checking,
 and state decoding. For details, see Adam, T., Langrock, R., and Weiß, C.H.
 (2019): Penalized Estimation of Flexible Hidden Markov Models for Time
 Series of Counts. <arXiv:1901.03275>.

Package: r-cran-countland
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-matrix, r-cran-ggplot2
Suggests: r-cran-tidyverse, r-cran-viridis, r-cran-gridextra, r-cran-igraph, r-cran-rspectra, r-cran-matrixtests, r-cran-rdist, r-cran-seurat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-countland_0.1.2-1.ca2004.1_all.deb
Size: 196100
MD5sum: d776a0a7d887c1b73cdd72a3260c60b2
SHA1: 3bfcebbede9a7e16f06fddc02a35f3dbf10d5d44
SHA256: 54cce9b92698d3244eb0554712bd2293f43da249a0ce3b5eab0960c2d35ce008
SHA512: 4081e344181a90b9ba1976b5bd49256e693da53a864c46dfa831029c3a1984862727df5fe8c9eab70ff97a958c7bddaa81da757e45d615f8124904cdf77afa51
Homepage: https://cran.r-project.org/package=countland
Description: CRAN Package 'countland' (Analysis of Biological Count Data, Especially from Single-CellRNA-Seq)
 A set of functions for applying a restricted linear algebra to the analysis
 of count-based data. See the accompanying preprint manuscript: "Normalizing
 need not be the norm: count-based math for analyzing single-cell data"
 Church et al (2022) <doi:10.1101/2022.06.01.494334> This tool is
 specifically designed to analyze count matrices from single cell RNA
 sequencing assays. The tools implement several count-based approaches for
 standard steps in single-cell RNA-seq analysis, including scoring genes and
 cells, comparing cells and clustering, calculating differential gene
 expression, and several methods for rank reduction. There are many
 opportunities for further optimization that may prove useful in the analysis
 of other data. We provide the source code freely available at
 <https://github.com/shchurch/countland> and encourage users and developers
 to fork the code for their own purposes.

Package: r-cran-countprop
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glasso, r-cran-compositions, r-cran-zcompositions
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-countprop_1.0.1-1.ca2004.1_all.deb
Size: 307608
MD5sum: e1bad3049f2b2f964485bb8f978f9b7f
SHA1: 20054f9b262bec3a75b1b0e9616351233ee1a630
SHA256: 898c24fa6b56f49acd8910f8496c23f11c7eed6216078c6be5b94bdb0854e1b1
SHA512: fef8cde5ac66248d213bab3c9415a1113332f96d3d973a2abe8ddaedee5e9ee61e4a5d3cb9b1fa274b5deda1be84764dff3023e16dc6d96c8dbe3a491804bfa3
Homepage: https://cran.r-project.org/package=countprop
Description: CRAN Package 'countprop' (Calculate Model-Based Metrics of Proportionality on Count-BasedCompositional Data)
 Calculates metrics of proportionality using the logit-normal multinomial
 model.  It can also provide empirical and plugin estimates of these metrics.

Package: r-cran-countries
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5134
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringdist, r-cran-tidyr, r-cran-stringr, r-cran-dplyr, r-cran-knitr, r-cran-fastmatch, r-cran-lubridate, r-cran-httr, r-cran-jsonlite, r-cran-ggplot2, r-cran-viridis
Suggests: r-cran-data.table, r-cran-rmarkdown, r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-countries_1.2.2-1.ca2004.1_all.deb
Size: 3268296
MD5sum: 59c9ccbc537be71d22a88d74818948da
SHA1: b6a63027eb2f685eb34a95d367dfa1dc44610341
SHA256: f742084630a6aac9027f8c77841f4b9572da2c93a8d3229c5dea171c9f368267
SHA512: 7dbde1db7fb10a46d05938a4e3122f80fdf728ae88591cfdbe8c041f24dff0d4d77aa8b1db8333066b93cc64adf9218081ed4d5eee68afce9d84c784c23001ee
Homepage: https://cran.r-project.org/package=countries
Description: CRAN Package 'countries' (Deal with Country Data in an Easy Way)
 Wrangle country data more effectively and quickly.  This package contains
 functions to easily identify and convert country names, download country
 information, merge country data from different sources, and make quick world
 maps.

Package: r-cran-countrycode
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1310
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-altdoc, r-cran-eurostat, r-cran-testthat, r-cran-tibble, r-cran-isocodes, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-countrycode_1.6.1-1.ca2004.1_all.deb
Size: 1265616
MD5sum: b695ac6122c060c36625e818c1713485
SHA1: 4e7c2c1b2093a7178ce739908ad1770bbace79f3
SHA256: cf75bea9e918de3aa61675fdf0d1b31faadfec424ece35aef9e72f26def09124
SHA512: 0803409e191aa5758559531d5a1e27ec89eb50f5c9ead81ab4284e45bb8f26bc5d340446c2cb66b0e6d5266c5d581da99e91b20912d34aa31029196f25a52f3a
Homepage: https://cran.r-project.org/package=countrycode
Description: CRAN Package 'countrycode' (Convert Country Names and Country Codes)
 Standardize country names, convert them into one of 40 different coding
 schemes, convert between coding schemes, and assign region descriptors.

Package: r-cran-countseppm
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula, r-cran-expm, r-cran-numderiv, r-cran-lmtest
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-countseppm_3.1-1.ca2004.1_all.deb
Size: 413816
MD5sum: 7f817ded50e9d1215473c34ae3af1189
SHA1: b4fbb39b3daa3efb9665d7878cb08c8976fa6a0d
SHA256: 2d7ab8824fb7a2c68d56f7a299f4c1b2a1d52a65e96979b1693f00b62ee41582
SHA512: 25b813188ada7d7250386718ff8377cfb4fce9664e04dc70f512986f7eface1b105d21608a47bc0dcc3a590d7e792fc165b011c3470f44c6a9d9e9665027e5d9
Homepage: https://cran.r-project.org/package=CountsEPPM
Description: CRAN Package 'CountsEPPM' (Mean and Variance Modeling of Count Data)
 Modeling under- and over-dispersed count data using extended Poisson process
 models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06>

Package: r-cran-counttofpkm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1988
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-complexheatmap, r-cran-circlize
Filename: pool/dists/focal/main/r-cran-counttofpkm_1.0-1.ca2004.1_all.deb
Size: 492896
MD5sum: 0b62f25568cae4e4e2cfd28a6bbd7019
SHA1: 7df03dd6e56fb398cff3f74fceeff890c7a685d9
SHA256: 3b98e59fde755ac73deffa1633c24abd1344fa96bd294648d2271e39f53d3be5
SHA512: df83bfb37b275c94ef6d24ef139b2da6728b6b39257bd189adfc533595fc441bfb207389a84a5897549eb2a800fc5b84cd617ec79c42594d8f2e57491c16ef25
Homepage: https://cran.r-project.org/package=countToFPKM
Description: CRAN Package 'countToFPKM' (Convert Counts to Fragments per Kilobase of Transcript perMillion (FPKM))
 Implements the algorithm described in Trapnell,C. et al. (2010) <doi:
 10.1038/nbt.1621>. This function takes read counts matrix of RNA-Seq data,
 feature lengths which can be retrieved using 'biomaRt' package, and the mean
 fragment lengths which can be calculated using the
 'CollectInsertSizeMetrics(Picard)' tool. It then returns a matrix of FPKM
 normalised data by library size and feature effective length. It also
 provides the user with a quick and reliable function to generate FPKM
 heatmap plot of the highly variable features in RNA-Seq dataset.

Package: r-cran-counttransformers
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-limma, r-cran-mass
Filename: pool/dists/focal/main/r-cran-counttransformers_0.0.6-1.ca2004.1_all.deb
Size: 82560
MD5sum: c9673fca41b5b7a2f66acc84c62db66a
SHA1: 990dd5510b9218ea52d6c060b092685be74a9838
SHA256: 02fb0a11f5451088bea71489359303d923ed42f269f2071a7e9d9010fcf4d2b6
SHA512: 0d00f8115d1f124454db1a9a8f43e32e051bf13c7444c07fdc3cdf14da8977e802021f822a261cc592ab0408e2910fb78a26fe6dc9420e1a944eea3d1bdf61e9
Homepage: https://cran.r-project.org/package=countTransformers
Description: CRAN Package 'countTransformers' (Transform Counts in RNA-Seq Data Analysis)
 Provide data transformation functions to transform counts in RNA-seq data
 analysis. Please see the reference: Zhang Z, Yu D, Seo M, Hersh CP, Weiss
 ST, Qiu W. (2019) <doi.org/10.1038/s41598-019-41315-w>.

Package: r-cran-countts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-fastdummies, r-cran-matrixstats, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-countts_0.1.0-1.ca2004.1_all.deb
Size: 65508
MD5sum: 754624590bcff96ab646df333c62c44d
SHA1: 68b93ab2d5ae3886e8d265e69633527f31e2c2d8
SHA256: 802aaf939412671b8bdce66017f2363a307a99f66fb39a70f813aa3a709c3cc2
SHA512: ad25301f07b66b99e248a656e82a63fe08b8004b7bbfd9ae8b748421a852e87b8f06223a42a3ef6198e94bea7c68fc77d721cf687f223e5ca7ba868709898d10
Homepage: https://cran.r-project.org/package=countts
Description: CRAN Package 'countts' (Thomson Sampling for Zero-Inflated Count Outcomes)
 A specialized tool is designed for assessing contextual bandit algorithms,
 particularly those aimed at handling overdispersed and zero-inflated count
 data. It offers a simulated testing environment that includes various models
 like Poisson, Overdispersed Poisson, Zero-inflated Poisson, and
 Zero-inflated Overdispersed Poisson. The package is capable of executing
 five specific algorithms: Linear Thompson sampling with log transformation
 on the outcome, Thompson sampling Poisson, Thompson sampling Negative
 Binomial, Thompson sampling Zero-inflated Poisson, and Thompson sampling
 Zero-inflated Negative Binomial. Additionally, it can generate regret plots
 to evaluate the performance of contextual bandit algorithms. This package is
 based on the algorithms by Liu et al. (2023) <arXiv:2311.14359>.

Package: r-cran-countyfloods
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dataretrieval, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-maps, r-cran-plyr, r-cran-r.utils, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-hurricaneexposure, r-cran-scales
Filename: pool/dists/focal/main/r-cran-countyfloods_0.1.0-1.ca2004.1_all.deb
Size: 469768
MD5sum: c20ffdffc2101607c28e4fafdd3e9aa6
SHA1: 62fc43b3a7cca48f02db525dfbdaf1a6642c430e
SHA256: ceb3c75060f4c81a6394a757ef808119017b8f9d294b020974588e4e7291a443
SHA512: e53a4b6642791dcec4a0d91c2ff1ffb27fda62317b05e00cecb9255f330f6ac69664a65cab254cac54af25c3f70d8d349a74f55d860598b25b001b203505d276
Homepage: https://cran.r-project.org/package=countyfloods
Description: CRAN Package 'countyfloods' (Quantify United States County-Level Flood Measurements)
 Quantifies United States flood impacts at the county level using United
 States Geological Service (USGS) River Discharge data for the USGS API. This
 package builds on R packages from the USGS, with the goal of creating
 county-level time series of flood status that can be more easily joined with
 county-level impact measurements, including health outcomes.  This work was
 supported in part by grants from the National Institute of Environmental
 Health Sciences (R00ES022631), the Colorado Water Center, and the National
 Science Foundation, Integrative Graduate Education and Research Traineeship
 (IGERT) Grant No. DGE-0966346 "I-WATER: Integrated Water, Atmosphere,
 Ecosystems Education and Research Program" at Colorado State University.

Package: r-cran-coursekata
Architecture: all
Version: 0.18.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dslabs, r-cran-ggformula, r-cran-ggplot2, r-cran-glue, r-cran-lsr, r-cran-metrics, r-cran-mosaic, r-cran-palmerpenguins, r-cran-purrr, r-cran-remotes, r-cran-rlang, r-cran-supernova, r-cran-vctrs, r-cran-viridislite
Suggests: r-cran-fivethirtyeight, r-cran-lubridate, r-cran-mass, r-cran-mockery, r-cran-mockr, r-cran-readr, r-cran-readxl, r-cran-usethis, r-cran-simstudy, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-coursekata_0.18.1-1.ca2004.1_all.deb
Size: 223992
MD5sum: 65c95f673af28dbe4881da6ee66157d8
SHA1: 52eb2b2a309cdb01dee2a7ab7b4c93f38a88ef30
SHA256: bf0b3e7881a579fac0c4276d11620b76265113bac7372a554d9273847e9ef101
SHA512: 171f7ba080c710d6014cc6ade66fb282a48633405372d4f5677df0c009f5d00b40064c02216d2736da080aed7f4012db34ecf7e18c7f7bae9252433834915a88
Homepage: https://cran.r-project.org/package=coursekata
Description: CRAN Package 'coursekata' (Packages and Functions for 'CourseKata' Courses)
 Easily install and load all packages and functions used in 'CourseKata'
 courses. Aid teaching with helper functions and augment generic functions to
 provide cohesion between the network of packages.  Learn more about
 'CourseKata' at <https://coursekata.org>.

Package: r-cran-covadap
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-covadap_1.0.1-1.ca2004.1_all.deb
Size: 282520
MD5sum: 077787bbcbf8f409114f2e893217a425
SHA1: 8ebca0fc0d24b1bed93aca33f43e153eee327a2e
SHA256: 1aec83635dba016d68e1e8647c041e4b7503d9988aceb988201b0fea6b6e50ee
SHA512: b9831e3c4e993c33e579351d782e6a5d86aa8ba02294acf16f8c546e887cf5da92eeeb9117327863bd3fc0708d0d49966fb05871bf3585143dac66010e793ac2
Homepage: https://cran.r-project.org/package=covadap
Description: CRAN Package 'covadap' (Implement Covariate-Adaptive Randomization)
 Implementing seven Covariate-Adaptive Randomization to assign patients to
 two treatments.  Three of these procedures can also accommodate quantitative
 and mixed covariates. Given a set of covariates, the user can generate a
 single sequence of allocations or replicate the design multiple times by
 simulating the patients' covariate profiles. At the end, an extensive
 assessment of the performance of the randomization procedures is provided,
 calculating several imbalance measures. See Baldi Antognini A, Frieri R,
 Zagoraiou M and Novelli M (2022) <doi:10.1007/s00362-022-01381-1> for
 details.

Package: r-cran-covalchemy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-mvtnorm, r-cran-interp, r-cran-clue, r-cran-ggextra, r-cran-gridextra, r-cran-desctools, r-cran-mass
Filename: pool/dists/focal/main/r-cran-covalchemy_1.0.0-1.ca2004.1_all.deb
Size: 125060
MD5sum: 5dca1b8cfcc0a0cb68fab985d577db5b
SHA1: a0f1bd3504190fe9ec00330bc206d7a0a7748311
SHA256: 9e0f20adbd546c3a671c35b0c0f32b8daf631d782a3d90b87575e1e3eacc21e7
SHA512: 8e50d553b70f783576d5e5e65220218dd58b5395b1d42489e5fdd704fb5df337f3adc3686734bc7cf19e5990e46712c78e99e25165726d3ae03756ec0b802fba
Homepage: https://cran.r-project.org/package=covalchemy
Description: CRAN Package 'covalchemy' (Constructing Joint Distributions with Control Over StatisticalProperties)
 Synthesizing joint distributions from marginal densities, focusing on
 controlling key statistical properties such as correlation for continuous
 data, mutual information for categorical data, and inducing Simpson's
 Paradox. Generate datasets with specified correlation structures for
 continuous variables, adjust mutual information between categorical
 variables, and manipulate subgroup correlations to intentionally create
 Simpson's Paradox.  Joe (1997) <doi:10.1201/b13150> Sklar (1959)
 <https://en.wikipedia.org/wiki/Sklar%27s_theorem>.

Package: r-cran-covatest
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mathjaxr, r-cran-lubridate, r-cran-v8, r-cran-zoo, r-cran-gstat, r-cran-sp, r-cran-spacetime
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-covatest_1.2.4-1.ca2004.1_all.deb
Size: 484080
MD5sum: c709e8ee177342a1a029488ea6312125
SHA1: db8279ddf6bc2f0698e4a4d2d5e95cef2f7cb96b
SHA256: 40705c680f2d78fdb96afea288a4d2f2d7f4d3ab33a69b61e61b97831e088444
SHA512: 168b51777faff5c3f09334772117f68dad7e7a4e240687f642dde5d2479702cc450763044dd284e008958e3bebfa09419183b9abd1bc86f229e7593b4ce99dfb
Homepage: https://cran.r-project.org/package=covatest
Description: CRAN Package 'covatest' (Tests on Properties of Space-Time Covariance Functions)
 Tests on properties of space-time covariance functions.  Tests on symmetry,
 separability and for assessing different forms of non-separability are
 available. Moreover tests on some classes of covariance functions, such that
 the classes of product-sum models, Gneiting models and integrated product
 models have been provided.  It is the companion R package to the papers of
 Cappello, C., De Iaco, S., Posa, D., 2018, Testing the type of
 non-separability and some classes of space-time covariance function models
 <doi:10.1007/s00477-017-1472-2> and Cappello, C., De Iaco, S., Posa, D.,
 2020, covatest: an R package for selecting a class of space-time covariance
 functions <doi:10.18637/jss.v094.i01>.

Package: r-cran-covcortest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-manova.rm, r-cran-matrixcalc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covcortest_1.0.0-1.ca2004.1_all.deb
Size: 127204
MD5sum: 45d2711cf33b218222c07f4bf9423aaf
SHA1: b51723c82f79467ecb4157d4d942432ffc9faa4c
SHA256: e79f4e11bc7bd5c46fcdeed64d9f46e606b4198502f90376f4dd4a83421027be
SHA512: e26d2f8a735b1023c01981025b6d78ea4a24721672311b52b1387f8a0806e083c769b0e45bed6ffcb50393b10a8d112396ed12f53bb57d1fe51582a20845c46c
Homepage: https://cran.r-project.org/package=CovCorTest
Description: CRAN Package 'CovCorTest' (Statistical Tests for Covariance and Correlation Matrices andtheir Structures)
 A compilation of tests for hypotheses regarding covariance and correlation
 matrices for one or more groups. The hypothesis can be specified through a
 corresponding hypothesis matrix and a vector or by choosing one of the basic
 hypotheses, while for the structure test, only the latter works. Thereby
 Monte-Carlo and Bootstrap-techniques are used, and the respective method
 must be chosen, and the functions provide p-values and mostly also
 estimators of calculated covariance matrices of test statistics. For more
 details on the methodology, see Sattler et al. (2022)
 <doi:10.1016/j.jspi.2021.12.001>, Sattler and Pauly (2024)
 <doi:10.1007/s11749-023-00906-6>, and Sattler and Dobler (2025)
 <doi:10.48550/arXiv.2310.11799>.

Package: r-cran-coveffectsplot
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4807
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-colourpicker, r-cran-egg, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-markdown, r-cran-dplyr, r-cran-tidyr, r-cran-shinyjs, r-cran-shinymeta, r-cran-table1, r-cran-clipr, r-cran-formatr, r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-mrgsolve, r-cran-ggally, r-cran-ggridges, r-cran-ggrepel, r-cran-ggstance, r-cran-patchwork, r-cran-plotly, r-cran-scales, r-cran-shinyace, r-cran-rcpp, r-cran-gamlss.dist, r-cran-ggdist, r-cran-ggh4x, r-cran-ggpmisc, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-coveffectsplot_1.0.6-1.ca2004.1_all.deb
Size: 2905788
MD5sum: a0a4701c5d35a7b0606d4569bd66d6e8
SHA1: 8251477e141a66194e288f98de0e479ff61c3628
SHA256: 21daeefc71b6f2b7c99eb27879a8894591a0e1cd6464188ed0f08f0c8607cb8b
SHA512: 8f7088dc30f14fec32f80a7a6a03c9bcd635a052aaad27746fe026a77a1e7e1e736cb714ebbc8133aa51df6eb5c7665a16f4f790ecfdf27bf43f11771761289b
Homepage: https://cran.r-project.org/package=coveffectsplot
Description: CRAN Package 'coveffectsplot' (Produce Forest Plots to Visualize Covariate Effects)
 Produce forest plots to visualize covariate effects using either the command
 line or an interactive 'Shiny' application.

Package: r-cran-covequal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmtstat, r-cran-corpcor
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-covequal_0.1.0-1.ca2004.1_all.deb
Size: 13988
MD5sum: 34642987f3ca91796ff5aa4d38d69624
SHA1: e76b96361fcb7cb64ee005aff096f529797d225c
SHA256: 12ad91ab870ee0a868f4483a6e87ae4a57fcc0882e6c00d03f6971ae7d94e70d
SHA512: 6fb4fed1a23bd0f2064bee94085355022d53edd55e0801bcd949629d73a3a72273ed0aa7b2841d71371ade848d3c245df34ea51f953b86b42ee2f9b50e5485ec
Homepage: https://cran.r-project.org/package=covequal
Description: CRAN Package 'covequal' (Test for Equality of Covariance Matrices)
 Computes p-values using the largest root test using an approximation to the
 null distribution by Johnstone (2008) <DOI:10.1214/08-AOS605>.

Package: r-cran-cover2
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3095
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-autothresholdr, r-cran-dplyr, r-cran-jpeg, r-cran-lubridate, r-cran-mgc, r-cran-terra, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cover2_1.0.0-1.ca2004.1_all.deb
Size: 3067620
MD5sum: cbd7a2b95378d5364aab22fb2aa7792c
SHA1: e01870bb6b37fd10704248f9db22eba605786333
SHA256: 388d1e5667602d5b18d156b4a86057e3bae1ac0df399581a745f90d7445ae97a
SHA512: ab7ce28f89dddac26c0801c8d753feb142533ec80842deba73801428f729fb1e88e351a0998e4fe2da73cc294f0c7897cbfb9cee1c488e83c29169eda4a97417
Homepage: https://cran.r-project.org/package=coveR2
Description: CRAN Package 'coveR2' (Process Digital Cover Photography Images of Tree Crowns)
 Process Digital Cover Photography images of tree canopies to get canopy
 attributes like Foliage Cover and Leaf Area Index.  Detailed description of
 the methods in Chianucci et al. (2022) <doi:10.1007/s00468-018-1666-3>.

Package: r-cran-covfefe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tokenizers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covfefe_0.1.0-1.ca2004.1_all.deb
Size: 19956
MD5sum: d73a2a1384d1d20fbe3b932ffd5f6db1
SHA1: 125593d76376a50a13509d5e4394a540e9a26efa
SHA256: 5deef7b9b060a4b1819ed0f6ddf160e8415e48a0b31f42df8d613ca0ff32dcbf
SHA512: 262cf22b5fa8bfc083cd8ba473c6e66a0926fb9be8e5c18ae69c577e474ee9bf9100c2f416a79795fe42f4b2e7ca72e490cd971ba5193f4f2c426529635f21ee
Homepage: https://cran.r-project.org/package=covfefe
Description: CRAN Package 'covfefe' (Covfefy Any Word, Sentence or Speech)
 Converts any word, sentence or speech into Trump's infamous "covfefe"
 format. Reference:
 <https://www.nytimes.com/2017/05/31/us/politics/covfefe-trump-twitter.html>.
 Inspiration thanks to:
 <https://codegolf.stackexchange.com/questions/123685/covfefify-a-string>.

Package: r-cran-covid19.analytics
Architecture: all
Version: 2.1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5035
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-ape, r-cran-rentrez, r-cran-curl, r-cran-plotly, r-cran-htmlwidgets, r-cran-desolve, r-cran-gplots, r-cran-pheatmap, r-cran-shiny, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-dt, r-cran-dplyr, r-cran-collapsibletree
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19.analytics_2.1.3.3-1.ca2004.1_all.deb
Size: 3272016
MD5sum: 609450c500c568bd4604b9200a669f79
SHA1: d6c662ddc87732c64f5dd2375e3a29b50218b4c6
SHA256: 3de0240bc4636a1527c304c787cb2d483743f4b66f910cf6f5c3c8ec96065ef6
SHA512: 5148513fb4ddd007abeed22a1f474546c3067de53dbb6779e885e8c17f2b1498b98892c92b325a3131fc6f4b7fc015168b23468815c535cab605be704e15c90a
Homepage: https://cran.r-project.org/package=covid19.analytics
Description: CRAN Package 'covid19.analytics' (Load and Analyze Live Data from the COVID-19 Pandemic)
 Load and analyze updated time series worldwide data of reported cases for
 the Novel Coronavirus Disease (COVID-19) from different sources, including
 the Johns Hopkins University Center for Systems Science and Engineering (JHU
 CSSE) data repository <https://github.com/CSSEGISandData/COVID-19>, "Our
 World in Data" <https://github.com/owid/> among several others. The datasets
 reporting the COVID-19 cases are available in two main modalities, as a time
 series sequences and aggregated data for the last day with greater spatial
 resolution. Several analysis, visualization and modelling functions are
 available in the package that will allow the user to compute and visualize
 total number of cases, total number of changes and growth rate globally or
 for an specific geographical location, while at the same time generating
 models using these trends; generate interactive visualizations and generate
 Susceptible-Infected-Recovered (SIR) model for the disease spread.

Package: r-cran-covid19
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r.utils, r-cran-data.table
Suggests: r-cran-rsqlite, r-cran-wbstats
Filename: pool/dists/focal/main/r-cran-covid19_3.0.3-1.ca2004.1_all.deb
Size: 34316
MD5sum: b088173724977510ead6b0e9987c2635
SHA1: b940e43a63435501b6e3c90d2b44cb18d664a6ca
SHA256: 622b51571f0c5a2c14582091fb5980365c6f87b9cb2aff3e639a1def27fa165c
SHA512: f8fecde3eeb9d1051cb4fb6a0847d7cff16ef8204ecad33caa18d2162e8a66526ab8c28b21b18d70f6f27fbf51f5d0cf86d8fef2f5ea12751cd56e7d11d614a5
Homepage: https://cran.r-project.org/package=COVID19
Description: CRAN Package 'COVID19' (R Interface to COVID-19 Data Hub)
 Provides a daily summary of COVID-19 cases, deaths, recovered, tests,
 vaccinations, and hospitalizations for 230+ countries, 760+ regions, and
 12000+ administrative divisions of lower level.  Includes policy measures,
 mobility data, and geospatial identifiers.  Data source: COVID-19 Data Hub
 <https://covid19datahub.io>.

Package: r-cran-covid19br
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-httr, r-cran-rlang, r-cran-sf, r-cran-tidyr
Suggests: r-cran-ggrepel, r-cran-kableextra, r-cran-knitr, r-cran-leaflet, r-cran-pracma, r-cran-plotly, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-covid19br_0.1.8-1.ca2004.1_all.deb
Size: 149052
MD5sum: 61dfa8864ca1cfc8d0fd999b3e7255d2
SHA1: b0ec3bcf75e2d1056438663a459feca61b1ec7c4
SHA256: 94fbaae8bfa4a5f6b8e21cccf87af482926abd78e8db6137227a2501baf6fc1a
SHA512: 6c9d056aed821ad87443e22885af059c32fbb9bb12e2a226eda168ac744d3021ecdf57d71cad98b1fdef3e236d8edcf9b62c34e116b9c1dbcd25efbd1d4427ee
Homepage: https://cran.r-project.org/package=covid19br
Description: CRAN Package 'covid19br' (Brazilian COVID-19 Pandemic Data)
 Set of functions to import COVID-19 pandemic data into R. The Brazilian
 COVID-19 data, obtained from the official Brazilian repository at
 <https://covid.saude.gov.br/>, is available at country, region, state, and
 city-levels. The package also downloads the world-level COVID-19 data from
 the John Hopkins University's repository.

Package: r-cran-covid19brazil
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4843
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-devtools, r-cran-dplyr
Suggests: r-cran-remotes, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19brazil_0.1.0-1.ca2004.1_all.deb
Size: 4903544
MD5sum: 64d9ddc8527825436a0ce2ea2eb3e7e5
SHA1: e5ec71a0a240bec33878c22b3b614a03ad61f4e1
SHA256: ef6d9920365426f7fe4ad9021062e0085f94cffe4aa9bafbc3a2939c58d2a55b
SHA512: f882b550aa441198de702b3d3101b80de1b05f43124ced8401edd9af41230f51b9b2fcefa3dd06eb9d64507b9fc316efcbc59bb948487b53c142bb036f8e8515
Homepage: https://cran.r-project.org/package=covid19brazil
Description: CRAN Package 'covid19brazil' (COVID-19 Dataset for Brazil)
 Dataset with strategic information about COVID-19 in Brazil.  Data for
 municipalities, states, region and Brazil. Data source: Sistema Unico de
 Saude - SUS.

Package: r-cran-covid19dbcand
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1950
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-data.tree, r-cran-dt, r-cran-networkd3
Filename: pool/dists/focal/main/r-cran-covid19dbcand_0.1.1-1.ca2004.1_all.deb
Size: 1503536
MD5sum: 807dbe4e8ecbcd454bdc12deff741d71
SHA1: ec9aa7b31b2000303565e1b9253cb83e7f6b3ac1
SHA256: f5fa414de62499d816b89e09d987b68809c39625dacdf029b8d49ea0fc3d9522
SHA512: 0985efd55cc5cb7fe8bc545b0d025d1203fc4eb23690287d57ec071a67eef7f817f3b379d0621687170175e6f227ada29176e3b02aa69d508e661e2c85d73afb
Homepage: https://cran.r-project.org/package=covid19dbcand
Description: CRAN Package 'covid19dbcand' (Selected 'Drugbank' Drugs for COVID-19 Treatment Related Data inR Format)
 Provides different datasets parsed from 'Drugbank'
 <https://www.drugbank.ca/covid-19> database using 'dbparser' package.  It is
 a smaller version from 'dbdataset' package. It contains only information
 about COVID-19 possible treatment.

Package: r-cran-covid19france
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19france_0.1.0-1.ca2004.1_all.deb
Size: 18748
MD5sum: da31f2d8826290eae4054171de107ece
SHA1: 10edf47d3566ca41c54b12148f2502a28e81619e
SHA256: 6a15540bbaa738303f3af05d7c5dbee53a40128b3c5af0c1f182e73f53d8d352
SHA512: 8dda4d51ddfa1bd825489615751a18401146e01bd39a3e7a1942997b4c20b888cd5a51aafa4c14ae33152864fd83b4f8db77bb415248caa055970105a5c8fb3a
Homepage: https://cran.r-project.org/package=covid19france
Description: CRAN Package 'covid19france' (Cases of COVID-19 in France)
 Imports and cleans 'opencovid19-fr' <https://github.com/opencovid19-fr/data>
 data on COVID-19 in France.

Package: r-cran-covid19india
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-epiestim, r-cran-cli, r-cran-gt, r-cran-httr, r-cran-glue, r-cran-janitor, r-cran-scales, r-cran-stringr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-covid19india_0.1.4-1.ca2004.1_all.deb
Size: 82964
MD5sum: 6cefc88d7533f5023985524e415f4a9d
SHA1: 7a0e5dabbb4b49638c35a5a90c0d7717f136213a
SHA256: 2509e4194389f637b853afc4dc7f9f91ea28b6a9846da732b6a53fc8a7de0bd2
SHA512: 8fc9f5d3c0d9093e593a71d271197756ff0d3c32145438ddc92b0ee032970012f96bb90ab4ee5c6dd7106f0d62ee2e8eb6e5374e8332e88e6daaf967d999ad57
Homepage: https://cran.r-project.org/package=covid19india
Description: CRAN Package 'covid19india' (Pulling Clean Data from Covid19india.org)
 Pull raw and pre-cleaned versions of national and state-level COVID-19
 time-series data from covid19india.org <https://www.covid19india.org>.
 Easily obtain and merge case count data, testing data, and vaccine data.
 Also assists in calculating the time-varying effective reproduction number
 with sensible parameters for COVID-19.

Package: r-cran-covid19italy
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Suggests: r-cran-knitr, r-cran-readr, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19italy_0.3.1-1.ca2004.1_all.deb
Size: 2883536
MD5sum: 7ff243e058afc36419b3b1e0e7f4697d
SHA1: 5f7c32485fa6b3189b1b6ca5136053157f0c0a96
SHA256: db3302b6b0ab5ed98c07f205ee7410548fc394cb05104685996d69b8202328cf
SHA512: e569e9d2bebe75a5f65dc603abbde10b7cc124a6e5255a68090b72e2eabc6dd8a8dbbaea319f685d1d095a0c24f8aa847daa3271c8822e652f1f522c8b26d510
Homepage: https://cran.r-project.org/package=covid19italy
Description: CRAN Package 'covid19italy' (The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Italy Dataset)
 Provides a daily summary of the Coronavirus (COVID-19) cases in Italy by
 country, region and province level. Data source: Presidenza del Consiglio
 dei Ministri - Dipartimento della Protezione Civile
 <https://www.protezionecivile.it/>.

Package: r-cran-covid19sf
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4779
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-mapview, r-cran-plotly, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-covid19sf_0.1.2-1.ca2004.1_all.deb
Size: 3146032
MD5sum: c12c9ea8576558f0a75ae71ae0faf88d
SHA1: db618bed45ec39724caf3c2e9d12561f349568b4
SHA256: 3533200a5b87f389a0d73bc6da0b4f9469f9ead910dbdb5b15379c42648832f1
SHA512: 803007ac5da9a6ab23cb549a9d84207d52b67614cc8971297105fde8a2415f429f8461ce928ba2f1b2a129b5cec3eaf0f184b13f069c07115ecd1c33c4af7395
Homepage: https://cran.r-project.org/package=covid19sf
Description: CRAN Package 'covid19sf' (The Covid19 San Francisco Dataset)
 Provides a verity of summary tables of the Covid19 cases in San Francisco.
 Data source: San Francisco, Department of Public Health - Population Health
 Division <https://datasf.org/opendata/>.

Package: r-cran-covid19srilanka
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-covid19srilanka_1.1.0-1.ca2004.1_all.deb
Size: 119532
MD5sum: bd38031b808cba26e4539febc2fba790
SHA1: d52a419ab483a02095135ac12e47b47416563fe6
SHA256: ad80edb6a3362e14a1e14fecf9382fb9f0297764b8d940387c66b11f3d00ad41
SHA512: c4efc3957db5a9e745c8344b316a27300016c60bdc1cc7e2f9bcee60899e881994bd4f071636ec77db7a9ab77fc3a9ffe476ca24c270e71fd277aff303b4990d
Homepage: https://cran.r-project.org/package=covid19srilanka
Description: CRAN Package 'covid19srilanka' (The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data in SriLanka)
 Provides a daily counts of the Coronavirus (COVID19) cases by districts and
 country. Data source: Epidemiological Unit, Ministry of Health, Sri Lanka
 <https://www.epid.gov.lk/web/>.

Package: r-cran-covid19swiss
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1292
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19swiss_0.1.0-1.ca2004.1_all.deb
Size: 1215656
MD5sum: 5b0ddad4d8afab8e4b9f542c3d4a9189
SHA1: ec6cbf2299c947166b49313f62cfa077a8346b94
SHA256: 9d52baeb905d37e4f150cc30d3f94fa132ed3bb12cf3433a470a280d71bcfa36
SHA512: bff5a6f6adb31a0fa3d36863c6daa24c9c4506fd279f6169333e99c229e37a98a1ff12a70de0fd38a3e7b2c4a7f0563d6b1b195206473f910ca886d3482c4e58
Homepage: https://cran.r-project.org/package=covid19swiss
Description: CRAN Package 'covid19swiss' (COVID-19 Cases in Switzerland and Principality of Liechtenstein)
 Provides a daily summary of the Coronavirus (COVID-19) cases in Switzerland
 cantons and Principality of Liechtenstein. Data source: Specialist Unit for
 Open Government Data Canton of Zurich
 <https://www.zh.ch/de/politik-staat/opendata.html>.

Package: r-cran-covid19tunisia
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19tunisia_0.1.0-1.ca2004.1_all.deb
Size: 55272
MD5sum: 740083f9b4b60e9820fefa5e49f44434
SHA1: aa0af33a98bb213241f5528c6844de14ac54e328
SHA256: 78db96066b71b8aa053aa0a42963c2d8e4c2f69ac523e8fd30421b8ffbd1a5dc
SHA512: ed32c7eb6eff0759952f3b8c927b62de59020b6afb49fe214d988adce16d3047ea104f17a33f9cfe496e8d48b9ff65335a8ef2e4460f53bd229671c0ce8d3f03
Homepage: https://cran.r-project.org/package=covid19tunisia
Description: CRAN Package 'covid19tunisia' (Cases of COVID-19 in Tunisia)
 Data personally collected about the spread of COVID-19 (SARS-COV-2) in
 Tunisia <https://github.com/MounaBelaid/covid19datatunisia>.

Package: r-cran-covid19us
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-snakecase, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covid19us_0.1.9-1.ca2004.1_all.deb
Size: 82724
MD5sum: 9936a36775c3389523c8065998f5ec3f
SHA1: 795fc47b5abaac7cc4fdd1ac258621e645e079b1
SHA256: 93e348d9231f43db3a4928ff94d7a17197c8427226b53a62f201b01a04edcb8b
SHA512: bc6a990f7d380fcae9c9b9586974a0f15159a250ff3cfb1bb1e642740aa86419e728aea3a30d4b3302aadfe7323ae68fa838a1270c6f83b8ff439fedd2bb2f67
Homepage: https://cran.r-project.org/package=covid19us
Description: CRAN Package 'covid19us' (Cases of COVID-19 in the United States)
 A wrapper around the 'COVID Tracking Project API'
 <https://covidtracking.com/api/> providing data on cases of COVID-19 in the
 US.

Package: r-cran-covidcast
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3667
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-mmwrweek, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-gridextra, r-cran-httptest, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-covidcast_0.5.2-1.ca2004.1_all.deb
Size: 2636424
MD5sum: c0d3382e70fcff13788e06d3d4b804c4
SHA1: 25efc127cb36dd27320f96075fd0fdd7bc690512
SHA256: e04a08aaea2d17f086359816e34de37ce5f8d06eebc3b47c48c64f3ab66260fb
SHA512: 39ca666e8d7eddd5105c5db736afe58a5368a7bb0996bf52b7fce759b6a2092529353fee88ecbb0ab42cbcd5d42b07af939d7a748884773cd16d86d314e42c93
Homepage: https://cran.r-project.org/package=covidcast
Description: CRAN Package 'covidcast' (Client for Delphi's 'COVIDcast Epidata' API)
 Tools for Delphi's 'COVIDcast Epidata' API: data access, maps and time
 series plotting, and basic signal processing. The API includes a collection
 of numerous indicators relevant to the COVID-19 pandemic in the United
 States, including official reports, de-identified aggregated medical claims
 data, large-scale surveys of symptoms and public behavior, and mobility
 data, typically updated daily and at the county level. All data sources are
 documented at
 <https://cmu-delphi.github.io/delphi-epidata/api/covidcast.html>.

Package: r-cran-covidibge
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1087
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-survey, r-cran-tibble, r-cran-timedate
Suggests: r-cran-convey, r-cran-sipdibge, r-cran-srvyr
Filename: pool/dists/focal/main/r-cran-covidibge_0.2.2-1.ca2004.1_all.deb
Size: 152236
MD5sum: 6e88ae656fb25d89b13685618db90bbc
SHA1: 42d289a57bd25ab6cbfdd6bab4f599f732dacee7
SHA256: 818fbe944490432eca911dfb233acfda10042f682b0877ede29beba39e5c43b4
SHA512: c53fdafdb9494e122cdbed225bcebcd3bea70ca69d79b97634f080ec96db9a24e725639f1ff51b0f0d9145680f862b887ccb8a9c7703ec389831f06fd235e38e
Homepage: https://cran.r-project.org/package=COVIDIBGE
Description: CRAN Package 'COVIDIBGE' (Downloading, Reading and Analyzing PNAD COVID19 Microdata)
 Provides tools for downloading, reading and analyzing the COVID19 National
 Household Sample Survey - PNAD COVID19, a household survey from Brazilian
 Institute of Geography and Statistics - IBGE. The data must be downloaded
 from the official website <https://www.ibge.gov.br/>. Further analysis must
 be made using package 'survey'.

Package: r-cran-covidmutations
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-seqinr, r-cran-stringr, r-cran-ggpubr, r-cran-dplyr, r-cran-venndiagram
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covidmutations_0.1.3-1.ca2004.1_all.deb
Size: 3120300
MD5sum: 14993548c4276a4ffe41e34377d91fa8
SHA1: caf94ead05d57deb39ebb8ce968158260527b647
SHA256: 6a41297f84c2be99888d36851f59efcb8eff76e74d47d7f2f3e7bd434e2ed797
SHA512: 110723ad43a5698770d0477d9d63f365ad51e54ea4aef77fa88bf624f3498c3c956fefa8031c7e382a02f4aded6767efb5b7dced8d8c5a96efe3f65383e7515b
Homepage: https://cran.r-project.org/package=CovidMutations
Description: CRAN Package 'CovidMutations' (Mutation Analysis Toolkit for COVID-19 (Coronavirus Disease2019))
 A feasible framework for mutation analysis and reverse transcription
 polymerase chain reaction (RT-PCR) assay evaluation of COVID-19, including
 mutation profile visualization, statistics and mutation ratio of each assay.
 The mutation ratio is conducive to evaluating the coverage of RT-PCR assays
 in large-sized samples. Mercatelli, D. and Giorgi, F. M. (2020)
 <doi:10.20944/preprints202004.0529.v1>.

Package: r-cran-covidmx
Architecture: all
Version: 0.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dbi, r-cran-dplyr, r-cran-duckdb, r-cran-fs, r-cran-pins, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-cowplot, r-cran-crayon, r-cran-dbplyr, r-cran-epiestim, r-cran-ggformula, r-cran-ggplot2, r-cran-ggstream, r-cran-ggtext, r-cran-glue, r-cran-lubridate, r-cran-metbrewer, r-cran-remotes, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-scales, r-cran-sessioninfo, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-covidmx_0.7.7-1.ca2004.1_all.deb
Size: 1297784
MD5sum: 14549658d9a4c9da49d70e51f0a58ca1
SHA1: 33541dd2f0fe4434e77f16b349e49bcebd4d5e12
SHA256: c46ff708429caa35e898a9c7de1b5ef81126a278e15cb732e0a69b6d4df8b884
SHA512: ecd3de3f23e8ce48953ca3ab457e8c49ba37ef3856746d315f0b3533bcfb0cc25ca05e0e06c0948a1c6bd5b4c87fa09b703195b10668524b4ea2832b373dbc6c
Homepage: https://cran.r-project.org/package=covidmx
Description: CRAN Package 'covidmx' (Descarga y analiza datos de COVID-19 en México)
 Herramientas para el análisis de datos de COVID-19 en México. Descarga y
 analiza los datos para COVID-19 de la Direccion General de Epidemiología de
 México (DGE) <https://www.gob.mx/salud/documentos/datos-abiertos-152127>, la
 Red de Infecciones Respiratorias Agudas Graves (Red IRAG)
 <https://www.gits.igg.unam.mx/red-irag-dashboard/reviewHome> y la Iniciativa
 Global para compartir todos los datos de influenza (GISAID)
 <https://gisaid.org/>.  English: Downloads and analyzes data of COVID-19
 from the Mexican General Directorate of Epidemiology (DGE), the Network of
 Severe Acute Respiratory Infections (IRAG network),and the Global Initiative
 on Sharing All Influenza Data GISAID.

Package: r-cran-covidnor
Architecture: all
Version: 2023.05.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2394
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue, r-cran-magrittr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-covidnor_2023.05.18-1.ca2004.1_all.deb
Size: 1069196
MD5sum: f53b4d5a189fe7200b99230b034beb28
SHA1: 557a5e7cc5190561a95f403510e8a99186d6b800
SHA256: ba65dbf2da74303af2dcf2ed461ef73a61ce7b6788e50675615fbe7d375160a8
SHA512: 67ad1b788e6ef29a44e8922804c625f258bd624048facd085edea0fe241fde24674c281c7347887493669ac2706b0e2a0f6885c4482b1903cc762cdc060e4a2e
Homepage: https://cran.r-project.org/package=covidnor
Description: CRAN Package 'covidnor' (Public COVID-19 Data for Norway)
 Publicly available COVID-19 data for Norway cleaned and merged into one
 dataset, including PCR confirmed cases, tests, hospitalisation and
 vaccination.

Package: r-cran-covidprobability
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covidprobability_0.1.0-1.ca2004.1_all.deb
Size: 327748
MD5sum: ec11b5051bb0994738656b1c91e18ff5
SHA1: e2be273790d28a3e70be73ad47de0b9af7155dc1
SHA256: 1fc7fe16ddc6b112372833903fcf29da3e7d3644b57ee9829958fb1a11f0f6b2
SHA512: c7add6fd1c111d0b1d114aa3381d5cc0d30e48d140a1f354072ad699950f26688bf5ec631fff500e41dc91735870623c3b16a66ecef594234b323833c68b6834
Homepage: https://cran.r-project.org/package=covidprobability
Description: CRAN Package 'covidprobability' (Estimate the Unit-Wide Probability of COVID-19)
 We propose a method to estimate the probability of an undetected case of
 COVID-19 in a defined setting, when a given number of people have been
 exposed, with a given pretest probability of having COVID-19 as a result of
 that exposure. Since we are interested in undetected COVID-19, we assume no
 person has developed symptoms (which would warrant further investigation)
 and that everyone was tested on a given day, and all tested negative.

Package: r-cran-covidregionaldata
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1641
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-countrycode, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-memoise, r-cran-purrr, r-cran-r6, r-cran-readxl, r-cran-rlang, r-cran-stringr, r-cran-tidyselect, r-cran-vroom, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-ggspatial, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-rsocrata, r-cran-rvest, r-cran-rworldmap, r-cran-sf, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-covidregionaldata_0.9.3-1.ca2004.1_all.deb
Size: 1213404
MD5sum: ce617691adf8c87d9df72779a15c1e05
SHA1: d11072469b01c6c80ab2a073d21047259ce0b6e1
SHA256: 75cf3fd21c320fa9bb4e292f4feddf343351e23c73c325dcef3719fc49a4cff5
SHA512: eb9466a479a503b410f0a264f2826408e1ad4083f95f67042e650d162b2c87f10f654c06923b9a16250588e884d5b46cbc989254b552dfa818c2eaccca84a49d
Homepage: https://cran.r-project.org/package=covidregionaldata
Description: CRAN Package 'covidregionaldata' (Subnational Data for COVID-19 Epidemiology)
 An interface to subnational and national level COVID-19 data sourced from
 both official sources, such as Public Health England in the UK, and from
 other COVID-19 data collections, including the World Health Organisation
 (WHO), European Centre for Disease Prevention and Control (ECDC), John
 Hopkins University (JHU), Google Open Data and others. Designed to
 streamline COVID-19 data extraction, cleaning, and processing from a range
 of data sources in an open and transparent way. This allows users to inspect
 and scrutinise the data, and tools used to process it, at every step. For
 all countries supported, data includes a daily time-series of cases.
 Wherever available data is also provided for deaths, hospitalisations, and
 tests. National level data are also supported using a range of sources as
 well as line list data and links to intervention data sets.

Package: r-cran-covidsymptom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6001
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covidsymptom_1.0.0-1.ca2004.1_all.deb
Size: 5350792
MD5sum: 8f8e90e4a2cea17f1c9755cc6c2b025e
SHA1: eb42e5f97c6f5aa70f8d6bbb81daf00ac440e531
SHA256: aa871bb47675cc30c697be9c8d6807612ef6839c1115a463a4ed4b89b933828c
SHA512: 9cc89c1494621eac5dd727c357d6c92f854bcb7a7a5c27a8ec05d699525cfa2c6acaba6c7660c76645289505728fbb8156fabea5625cf2b5d5bbf85ec6b3a6ae
Homepage: https://cran.r-project.org/package=covidsymptom
Description: CRAN Package 'covidsymptom' (COVID Symptom Study Sweden Open Dataset)
 The COVID Symptom Study is a non-commercial project that uses a free mobile
 app to facilitate real-time data collection of symptoms, exposures, and risk
 factors related to COVID19. The package allows easy access to summary
 statistics data from COVID Symptom Study Sweden.

Package: r-cran-covkcd
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-covkcd_0.1-1.ca2004.1_all.deb
Size: 32036
MD5sum: 15fc6da8f24fcd9ba45139ce6e8f3b6f
SHA1: e4cb33224624bafcb27f12fe55baab986b8aae49
SHA256: a8c47e86c63b1df94582a26b11700548b0cd00909c22948fc80775c545b1497d
SHA512: 10462a3987b93d7836fe8397a9c8757f60e6493e0f5a546e408de15a6ef28e6b93da224a5e205cb783a3890a9740b635f5d6de04aca3a164e92555e0c56799c1
Homepage: https://cran.r-project.org/package=covKCD
Description: CRAN Package 'covKCD' (Covariance Estimation for Matrix Data with the Kronecker-CoreDecomposition)
 Matrix-variate covariance estimation via the Kronecker-core decomposition.
 Computes the Kronecker and core covariance matrices corresponding to an
 arbitrary covariance matrix, and provides an empirical Bayes covariance
 estimator that adaptively shrinks towards the space of separable covariance
 matrices. For details, see Hoff, McCormack and Zhang (2022)
 <arXiv:2207.12484> "Core Shrinkage Covariance Estimation for Matrix-variate
 data".

Package: r-cran-covlca
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mlogit, r-cran-polca
Filename: pool/dists/focal/main/r-cran-covlca_1.0-1.ca2004.1_all.deb
Size: 72624
MD5sum: 94fd58a888ac9469dac8a8471a62dcc8
SHA1: e180c9b4b74b5ef1e1b92e0fd209fee6d12a5ab6
SHA256: 701cac07d12f389ab7eb6ff7a1f9c367aac3372e42eb83db1694b26c1f6edb2a
SHA512: 1848429b6d862e7efa1cce24034df0827c65cdf2634081d717b6b3525ba1f14b86054b10ba3013c7101c6e0d80bba0ea9fa629df1dd0553dc2059d8b291a0a55
Homepage: https://cran.r-project.org/package=covLCA
Description: CRAN Package 'covLCA' (Latent Class Models with Covariate Effects on Underlying andMeasured Variables)
 Estimation of latent class models with covariate effects on underlying and
 measured variables. The measured variables are dichotomous or polytomous,
 all with the same number of categories.

Package: r-cran-covreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-covreg_1.0-1.ca2004.1_all.deb
Size: 32224
MD5sum: b6fc606f50b91641aacf8b8682a33ba3
SHA1: 5664f2758fce77e425363a4103a7c56858aa4fc0
SHA256: 4f2aeaa71e6913ac425733c28b518f2ff747ad564e73f128561f994bbdc67d8d
SHA512: 926fc6123550b3a1dae8aef1ba74c9f51ac456ff1a31603925d59ab2901bc21c0d89c175dae80c75679dd15b12bbba9012f994eec0a1ef0d1c11d0f89835ade0
Homepage: https://cran.r-project.org/package=covreg
Description: CRAN Package 'covreg' (A simultaneous regression model for the mean and covariance)
 This package fits a simultaneous regression model for the mean vectors and
 covariance matrices of multivariate response variables, as described in Hoff
 and Niu (2012). The explanatory variables can be continuous or discrete. The
 current version of the package provides the Bayesian estimates.

Package: r-cran-covrobust
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-covrobust_1.1-3-1.ca2004.1_all.deb
Size: 26448
MD5sum: ad291e3229839168dee7652dd21d1765
SHA1: 845747d92680c9f3063267b0090f8d390e5babf6
SHA256: d6959ef9fc602d77b54d4ab6e012202cd51756034c41968fe8ae41296ce4d6e1
SHA512: 49e24aca92df9691345d9e6e75c9c000daa65489a3ab6c5bea6f002f2a443ec43fa6371709861875f2c1b48846049517d3f5e907fd182afaa2314f75b1d9a137
Homepage: https://cran.r-project.org/package=covRobust
Description: CRAN Package 'covRobust' (Robust Covariance Estimation via Nearest Neighbor Cleaning)
 The cov.nnve() function implements robust covariance estimation by the
 nearest neighbor variance estimation (NNVE) method of Wang and Raftery
 (2002) <DOI:10.1198/016214502388618780>.

Package: r-cran-covsel
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-np, r-cran-mass
Suggests: r-cran-bindata
Filename: pool/dists/focal/main/r-cran-covsel_1.2.2-1.ca2004.1_all.deb
Size: 345336
MD5sum: ce842e8d39f34e99bd32bc237da3cb50
SHA1: c394396252dc5aebc53b8d7b508fd39b0cdc7dfb
SHA256: 50442903ba8cc28d040853d6af418cd479d3ed8001d4fad07e3c396d4b25dd13
SHA512: ca1090cd6cf60630f3b122bdb06c409aa3750d34405e874bf27b3b27e4545f2ece1820c391923ea720432887865a9f63f745d746963ac4aaef6a815d4b06d185
Homepage: https://cran.r-project.org/package=CovSel
Description: CRAN Package 'CovSel' (Model-Free Covariate Selection)
 Model-free selection of covariates under unconfoundedness for situations
 where the parameter of interest is an average causal effect. This package is
 based on model-free backward elimination algorithms proposed in de Luna,
 Waernbaum and Richardson (2011). Marginal co-ordinate hypothesis testing is
 used in situations where all covariates are continuous while kernel-based
 smoothing appropriate for mixed data is used otherwise.

Package: r-cran-covsep
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-covsep_1.1.0-1.ca2004.1_all.deb
Size: 160684
MD5sum: 4d9d0a138ebabf311deb152abd4276e5
SHA1: 6ad342392e42f0704f3d719ff4f9f21fbd3a6f1e
SHA256: 1593dd5328fc3004bd4ce7cbacb0d598e8089d21048f139e94ac1729dde9da00
SHA512: 188687ea730d3689c80b4e7d45fab7590e0dbed2b4eebdf3324d7a58d26c645c3bb62a2e91ac3112c28eb1136708697cb6dd9134438e04fcb9b541846b45de00
Homepage: https://cran.r-project.org/package=covsep
Description: CRAN Package 'covsep' (Tests for Determining if the Covariance Structure of2-Dimensional Data is Separable)
 Functions for testing if the covariance structure of 2-dimensional data
 (e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if
 covariance(X) = C_1 x C_2.  A complete descriptions of the implemented tests
 can be found in the paper Aston, John A. D.; Pigoli, Davide; Tavakoli,
 Shahin. Tests for separability in nonparametric covariance operators of
 random surfaces. Ann. Statist. 45 (2017), no. 4, 1431--1461.
 <doi:10.1214/16-AOS1495> <https://projecteuclid.org/euclid.aos/1498636862>
 <arXiv:1505.02023>.

Package: r-cran-covsim
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rvinecopulib, r-cran-lavaan, r-cran-nleqslv, r-cran-pearsonds, r-cran-mass, r-cran-tmvtnorm, r-cran-matrix
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-r.rsp, r-cran-ggally, r-cran-psych, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-covsim_1.1.0-1.ca2004.1_all.deb
Size: 548280
MD5sum: b4eb668e89b4286ba7f223f44b2f2f16
SHA1: 4efa5ffb085ed749398e261847ecee756f34f580
SHA256: d78673771ff408900f9d8f710c5499c29dfd126d041247ba2525823c9461d03c
SHA512: 7cec403385473ddb26e3a3d51614ac3f54894e1a25a1377eb82acdb58b8e8edc5be2fb9139d823aad2e4cdcb804c309b2b05620af57ef2b539bcd6b55254494c
Homepage: https://cran.r-project.org/package=covsim
Description: CRAN Package 'covsim' (VITA, IG and PLSIM Simulation for Given Covariance and Marginals)
 Random sampling from distributions with user-specified population covariance
 matrix. Marginal information may be fully specified, for which the package
 implements the VITA (VIne-To-Anything) algorithm Grønneberg and Foldnes
 (2017) <doi:10.1007/s11336-017-9569-6>.  See also Grønneberg, Foldnes and
 Marcoulides (2022) <doi:10.18637/jss.v102.i03>.  Alternatively, marginal
 skewness and kurtosis may be specified, for which the package implements the
 IG (independent generator) and PLSIM (piecewise linear) algorithms, see
 Foldnes and Olsson (2016) <doi:10.1080/00273171.2015.1133274> and Foldnes
 and Grønneberg (2021) <doi:10.1080/10705511.2021.1949323>, respectively.

Package: r-cran-covtracer
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-r6, r-cran-cli, r-cran-dplyr, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-covtracer_0.0.1-1.ca2004.1_all.deb
Size: 238300
MD5sum: d66ed2b016c18212070dc61dcbdda014
SHA1: 7a0e9f3c9d3363b49bc6ee8ba251178e565fd2bc
SHA256: 6f7471a2514fd6f472056d262f096d2494d6969dceac4b9ea2ad28f8136c2381
SHA512: 7ec206720b622bd5c17e1a3b2310e9453f82155d287a57414db07829eac575cd4fa2ddb2cbd40d4f9483a999134b598f2228ad3fefcaeb5a79fba300ca0e5e82
Homepage: https://cran.r-project.org/package=covtracer
Description: CRAN Package 'covtracer' (Contextualizing Tests)
 Dissects a package environment or 'covr' coverage object in order to cross
 reference tested code with the lines that are evaluated, as well as linking
 those evaluated lines to the documentation that they are described within.
 Connecting these three pieces of information provides a mechanism of linking
 tests to documented behaviors.

Package: r-cran-cowbell
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rgl, r-cran-misc3d
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cowbell_0.1.0-1.ca2004.1_all.deb
Size: 274820
MD5sum: bf5639c58059621e75060642a30098aa
SHA1: cd98d17bc0468e4ed7a394caa4bffa62c76d9558
SHA256: 71c2b8f35d896c346ef1d38c8363e632b1b54d7c22eddbb70810ef1f3a6b1141
SHA512: ae1f87dda3e05493a130bd801e1279b61a5c0889f7515d8100d6e8919e877e331f5004dd1c02d270322e7a060f5f63cd3dfc766a47ba796033281ec83236e5c7
Homepage: https://cran.r-project.org/package=cowbell
Description: CRAN Package 'cowbell' (Performs Segmented Linear Regression on Two IndependentVariables)
 Implements a specific form of segmented linear regression with two
 independent variables. The visualization of that function looks like a
 quarter segment of a cowbell giving the package its name.  The package has
 been specifically constructed for the case where minimum and maximum value
 of the dependent and two independent variables are known a prior, which is
 usually the case when those values are derived from Likert scales.

Package: r-cran-cowplot
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2011
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-rlang, r-cran-scales
Suggests: r-cran-cairo, r-cran-covr, r-cran-dplyr, r-cran-forcats, r-cran-gridgraphics, r-cran-knitr, r-cran-lattice, r-cran-magick, r-cran-maps, r-cran-paswr, r-cran-patchwork, r-cran-rmarkdown, r-cran-ragg, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-cowplot_1.1.3-1.ca2004.1_all.deb
Size: 1278120
MD5sum: eb2779f217e77616499e35bc60b3761d
SHA1: 0a16376a76506a474ff365c4e31f2e4585c5d68c
SHA256: 9a1392a5c3005341274fd351fb77dca6767b0f184725a6c3a3d7283c72ef2b8c
SHA512: cb34c02b26663c5ebe61c8fdb8608c7e41f6642085ad51bbcccc1ed49265f781d0d6fde763bacf397ec16b19ebcf54e8a9fd8206ef6614da87ca122e384e18b8
Homepage: https://cran.r-project.org/package=cowplot
Description: CRAN Package 'cowplot' (Streamlined Plot Theme and Plot Annotations for 'ggplot2')
 Provides various features that help with creating publication-quality
 figures with 'ggplot2', such as a set of themes, functions to align plots
 and arrange them into complex compound figures, and functions that make it
 easy to annotate plots and or mix plots with images. The package was
 originally written for internal use in the Wilke lab, hence the name (Claus
 O. Wilke's plot package).  It has also been used extensively in the book
 Fundamentals of Data Visualization.

Package: r-cran-cowsay
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-rlang
Suggests: r-cran-fortunes, r-cran-rmsfact, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cowsay_1.2.0-1.ca2004.1_all.deb
Size: 610240
MD5sum: 3689bbbc6b82e32c5df4d729827db81e
SHA1: f54afd41d646e5521ec36f38ab532f5a52b871bf
SHA256: 09b825498339b98b93974b08598708bf53d81182bb5f9e6532a43da7b5a5b367
SHA512: ba96735a5760c12d7f126316d7f4c1c50d712f488f695e1b730f99a946a61f7610da6fc6a76657f7c459de6df0436062b4a8952b2acf3a3c1166f00a273730ef
Homepage: https://cran.r-project.org/package=cowsay
Description: CRAN Package 'cowsay' (Messages, Warnings, Strings with Ascii Animals)
 Allows printing of character strings as messages/warnings/etc.  with ASCII
 animals, including cats, cows, frogs, chickens, ghosts, and more.

Package: r-cran-coxaipw
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-randomforestsrc, r-cran-polspline, r-cran-tidyr, r-cran-ranger, r-cran-pracma, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-coxaipw_0.0.3-1.ca2004.1_all.deb
Size: 55992
MD5sum: 996f49f5f190d78ba841a06f4acd4a76
SHA1: 64f302b01251062a2ce7d8922c65934e827d3a85
SHA256: 0c4721c5ab32f7c0785e7bbc2c36e36abe2a0adf206ffd80359ae0fdb8ef2cf3
SHA512: 4b609471ca801dc14b3e64c4afd0a2e089e111be51b86e4219ef325d30ff7076646329538be9ef4682d7078b3e4465a6225376dd1072d91e36396e846b6f7c37
Homepage: https://cran.r-project.org/package=CoxAIPW
Description: CRAN Package 'CoxAIPW' (Doubly Robust Inference for Cox Marginal Structural Model withInformative Censoring)
 Doubly robust estimation and inference of log hazard ratio under the Cox
 marginal structural model with informative censoring. An augmented inverse
 probability weighted estimator that involves 3 working models, one for
 conditional failure time T, one for conditional censoring time C and one for
 propensity score. Both models for T and C can depend on both a binary
 treatment A and additional baseline covariates Z, while the propensity score
 model only depends on Z. With the help of cross-fitting techniques, achieves
 the rate-doubly robust property that allows the use of most machine learning
 or non-parametric methods for all 3 working models, which are not permitted
 in classic inverse probability weighting or doubly robust estimators. When
 the proportional hazard assumption is violated, CoxAIPW estimates a causal
 estimated that is a weighted average of the time-varying log hazard ratio.
 Reference: Luo, J. (2023). Statistical Robustness - Distributed Linear
 Regression, Informative Censoring, Causal Inference, and Non-Proportional
 Hazards [Unpublished doctoral dissertation]. University of California San
 Diego.; Luo & Xu (2022) <doi:10.48550/arXiv.2206.02296>; Rava (2021)
 <https://escholarship.org/uc/item/8h1846gs>.

Package: r-cran-coxbcv
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-survival
Filename: pool/dists/focal/main/r-cran-coxbcv_0.0.1.0-1.ca2004.1_all.deb
Size: 95456
MD5sum: 177be606ade8fa88c4696ea31f5d2906
SHA1: f99432861eb9f8f46f38a55a4a80b8b1da58dbe1
SHA256: 027e7dc522e31c1804b6392295ab1d123d457ae954ce0c755e46e53cfd3e4c83
SHA512: 1b63def70c36199b57bd6ea5648d51c5de154725e6519e4812dbec3f7ac739de5f049ab7b2392307b0591364302c65a8ba2368333a4f68240a6d854886201bb4
Homepage: https://cran.r-project.org/package=CoxBcv
Description: CRAN Package 'CoxBcv' (Bias-Corrected Sandwich Variance Estimators for Marginal CoxAnalysis of Cluster Randomized Trials)
 The implementation of bias-corrected sandwich variance estimators for the
 analysis of cluster randomized trials with time-to-event outcomes using the
 marginal Cox model, proposed by Wang et al. (under review).

Package: r-cran-coxed
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-survival, r-cran-mgcv, r-cran-permalgo, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-gridextra, r-cran-mediation
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bindrcpp
Filename: pool/dists/focal/main/r-cran-coxed_0.3.3-1.ca2004.1_all.deb
Size: 653088
MD5sum: 77cdb28d5c11b2a11b15a587e19a4b32
SHA1: daa44b033c722b34baeb9fee9156dc633ac06c69
SHA256: 29f50c9efc29cfbee3935e6f1c17e3d55956f18cd698be7d584a4da4a326078d
SHA512: 2e5278fe9f739daa6ead450f167e13c03511fb12196a1f2a0eb047867d998610316f95cc43dd902ac5da97611ab306f8e6267d65c4bd5c2b9fe849c3300f235a
Homepage: https://cran.r-project.org/package=coxed
Description: CRAN Package 'coxed' (Duration-Based Quantities of Interest for the Cox ProportionalHazards Model)
 Functions for generating, simulating, and visualizing expected durations and
 marginal changes in duration from the Cox proportional hazards model as
 described in Kropko and Harden (2017) <doi:10.1017/S000712341700045X> and
 Harden and Kropko (2018) <doi:10.1017/psrm.2018.19>.

Package: r-cran-coxicpen
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-coxicpen_1.1.0-1.ca2004.1_all.deb
Size: 54620
MD5sum: a1d56b303cd89d9a078e277bc133f80b
SHA1: f045a351c92b23df9fcbc0d2bfdefe0ace7c8e4c
SHA256: 6c92acd2950cb2d1a029a4e549073c1c10e63522afe3f4d35abf3c2f480442ec
SHA512: 4a6658dd4c73fafc7579adf61c80b8260e7522d8bb20389660757ea9c7900a6c71290f9c3f177265da1ef882e095ffec52c789ea9115e12a206cc6b54a0313f6
Homepage: https://cran.r-project.org/package=CoxICPen
Description: CRAN Package 'CoxICPen' (Variable Selection for Cox's Model with Interval-Censored Data)
 Perform variable selection for Cox regression model with interval-censored
 data. Can deal with both low-dimensional and high-dimensional data.
 Case-cohort design can be incorporated. Two sets of covariates scenario can
 also be considered. The references are listed in the URL below.

Package: r-cran-coxphlb
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-coxphlb_1.2.0-1.ca2004.1_all.deb
Size: 88328
MD5sum: ee08bb66ad05872851dcd8229f69b7d6
SHA1: d84fed5e3423ef3ec4d9e9c93758bb4c7b7bc941
SHA256: 14c9f0074f8cb78df27158d19228f8c13c7ec800841597878d2985050548e8f8
SHA512: d68e831b85b6bbf6a2c64b9baa77f0ab4ae686c83e0fc5ef4941f2f0368fa670a34d8603f7d41b24b0a82ae48801f302856532bdf9d661a7b44b93944ae02ba8
Homepage: https://cran.r-project.org/package=CoxPhLb
Description: CRAN Package 'CoxPhLb' (Analyzing Right-Censored Length-Biased Data)
 Performs analysis of right-censored length-biased data using Cox model. It
 contains model fitting and checking, and the stationarity assumption test.
 The model fitting and checking methods are described in Qin and Shen (2010)
 <doi:10.1111/j.1541-0420.2009.01287.x> and Lee, Ning, and Shen (2018)
 <doi:10.1007/s10985-018-9422-y>.

Package: r-cran-coxphm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-coxphm_0.2.0-1.ca2004.1_all.deb
Size: 26540
MD5sum: 03b5c2cdb6dd50a88e32e8717980f8c3
SHA1: 6815b1632627f42d6b760b9540210fc1301734cb
SHA256: a3c304114481a82afb081d6a59d9db1bb7587662b518a102d322f61f33efcfdb
SHA512: 6c18f8c5134ed58c3e23565644019bf1c2313eb8f6cba92f98028c1e9c48376cd6e68d11d369dc4b8fde86a2f851c421788fd6dd7350936ef4f0759cface699e
Homepage: https://cran.r-project.org/package=coxphm
Description: CRAN Package 'coxphm' (Time-to-Event Data Analysis with Missing Survival Times)
 Fits a pseudo Cox proprotional hazards model when survival times are missing
 for control groups.

Package: r-cran-coxphmic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-coxphmic_0.1.0-1.ca2004.1_all.deb
Size: 48676
MD5sum: 48a5d168553b449428a448189f11301e
SHA1: ec1ba8b881ea294f202bce2c3c6a813a7c621435
SHA256: ecbd6ccddec3748045bf2f8a8d5f7881d90a72fe5da87fab27ebafe02eff7236
SHA512: e8555191c718df10768babfa49b2c41e1d6af778092286dcab44e48f92f77ecb32dab30adbd859dd573125c69958241a1c0fe128b3c71f0afc99a7c58dbe3d27
Homepage: https://cran.r-project.org/package=coxphMIC
Description: CRAN Package 'coxphMIC' (Sparse Estimation of Cox Proportional Hazards Models viaApproximated Information Criterion)
 Sparse estimation for Cox PH models is done via Minimum approximated
 Information Criterion (MIC) by Su, Wijayasinghe, Fan, and Zhang (2016)
 <DOI:10.1111/biom.12484>. MIC mimics the best subset selection using a
 penalized likelihood approach yet with no need of a tuning parameter. The
 problem is further reformulated with a re-parameterization step so that it
 reduces to one unconstrained non-convex yet smooth programming problem,
 which can be solved efficiently. Furthermore, the re-parameterization tactic
 yields an additional advantage in terms of circumventing post-selection
 inference.

Package: r-cran-coxphsgd
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-coxphsgd_0.2.1-1.ca2004.1_all.deb
Size: 21936
MD5sum: 68fe02d8d916ddcf47f6b54e03b1ef23
SHA1: 6bd35c1971e77f9937035f5b1a4899de34094bbe
SHA256: 43bb7e021cab9e7920e4cb1db79802000086f55388ac7ed725ddaae41b8aac6d
SHA512: f2d56c1b6cbfd6f90755508367a4a74db0840b316bdc514dafd6745b930a594326c821041126cf9f4d77c04a22412b1a8be7728ce946b581b7d655e2168a97db
Homepage: https://cran.r-project.org/package=coxphSGD
Description: CRAN Package 'coxphSGD' (Stochastic Gradient Descent log-Likelihood Estimation in CoxProportional Hazards Model)
 Estimate coefficients of Cox proportional hazards model using stochastic
 gradient descent algorithm for batch data.

Package: r-cran-coxr2
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-coxr2_1.0-1.ca2004.1_all.deb
Size: 10648
MD5sum: 1ceb2206ad2217ea4195c0d8e8548b57
SHA1: 377caf756a3644e4d970ac051f652995ad9b17a8
SHA256: 8caba56b8a0212534588220daf806ea82e13c16e7a2dc6b2ee22b598fa7ad14f
SHA512: 6e214bb2918a8fe81de3e37c533785383792c6bf9af1d350b4a1cb15cedf3042f226b20856fb058904f88c5706c29238986eca10ec7fb1752bcb8bf320606974
Homepage: https://cran.r-project.org/package=CoxR2
Description: CRAN Package 'CoxR2' (R-Squared Measure Based on Partial LR Statistic, for the Cox PHRegression Model)
 Calculate the R-squared, aka explained randomness, based on the partial
 likelihood ratio statistic under the Cox Proportional Hazard model [J
 O'Quigley, R Xu, J Stare (2005) <doi:10.1002/sim.1946>].

Package: r-cran-cp4p
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 711
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mess, r-bioc-multtest, r-bioc-qvalue, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-cp4p_0.3.6-1.ca2004.1_all.deb
Size: 603220
MD5sum: b0fdb69dbae69d325c38b46391ebbe58
SHA1: fbfb065250017b60388a3cd091f6a3f79261c4c3
SHA256: 667359efffa6812ef363f7f439549e24e18c02dd9a918b218bb3d1c2d801665a
SHA512: e8f70716405de10ca4c0cb8168c6c32fa85b6b8d41e42cb8276c3c557056c7a624fc00613305f2a809a4eae0648897684892471749a33fe1f165562487301933
Homepage: https://cran.r-project.org/package=cp4p
Description: CRAN Package 'cp4p' (Calibration Plot for Proteomics)
 Functions to check whether a vector of p-values respects the assumptions of
 FDR (false discovery rate) control procedures and to compute adjusted
 p-values.

Package: r-cran-cp
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cp_1.8-1.ca2004.1_all.deb
Size: 181972
MD5sum: e86a5d6270f0e2ea9d74baf8595b9cf7
SHA1: 146aff44dc4b14a1f060a1a748b8f7c3b277a9a7
SHA256: d8a3cd493c4aa19b50e14d95ed314e62b67e9132601180f725a7025cdf369f6a
SHA512: 6fdffba79bdd9ff008882f87e87ee57350bb50d7e80bd77cf0c3befeeb4b84ec44b06ed4ed9ff803543d1315cb4ad0783bd39571eb1ea6ede9f7d138a999f003
Homepage: https://cran.r-project.org/package=CP
Description: CRAN Package 'CP' (Conditional Power Calculations)
 Functions for calculating the conditional power for different models in
 survival time analysis within randomized clinical trials with two different
 treatments to be compared and survival as an endpoint.

Package: r-cran-cpa
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cpa_1.0.1-1.ca2004.1_all.deb
Size: 39456
MD5sum: b243800e8958e1ef983ac19644bc5f67
SHA1: 933e51f48022f0c4591b630999b47d78c1730b6d
SHA256: 4b720a65fba0bb11be77d5bd350481f5cb2bc15dcbf3463eaa9fbfb721039242
SHA512: 40f5bb7cb16963cf314f7d6b69696584bf67eedfaec3dae72e90d5d7540a8d877747c18b67dac05a55f86adc0f0317557a7a09bac48f0360b7b88cf931a2de4e
Homepage: https://cran.r-project.org/package=cpa
Description: CRAN Package 'cpa' (Confirmatory Path Analysis Through 'd-sep' Tests)
 Functions to test and compare causal models using Confirmatory Path
 Analysis.

Package: r-cran-cpam
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-cli, r-cran-dplyr, r-bioc-edger, r-cran-ggplot2, r-cran-magrittr, r-cran-matrixstats, r-cran-mgcv, r-cran-mvnfast, r-cran-pbmcapply, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scam, r-cran-shiny, r-cran-shinyjs, r-cran-stringr, r-cran-tidyr, r-bioc-tximport
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cpam_0.1.3-1.ca2004.1_all.deb
Size: 2535128
MD5sum: 1f9d77fc6f2f2058a38646a54968337d
SHA1: 62a7aa57a94d725cf85018e33c56f8e1dd19c6a7
SHA256: 517a1ddd09f9be158394cb803dddddb9c277fb2bc43430914d39c389a8649f9c
SHA512: 988647a4788a213ea16ad5c8632172c0ccdd9b42390886665cc224640ca068de7fc7af78f146e6c9f944606a18ececc0e83272d14782fb79a54727d7a4f4f781
Homepage: https://cran.r-project.org/package=cpam
Description: CRAN Package 'cpam' (Changepoint Additive Models for Time Series Omics Data)
 Provides a comprehensive framework for time series omics analysis,
 integrating changepoint detection, smooth and shape-constrained trends, and
 uncertainty quantification. It supports gene- and transcript-level
 inferences, p-value aggregation for improved power, and both case-only and
 case-control designs.  It includes an interactive 'shiny' interface. The
 methods are described in Yates et al. (2024)
 <doi:10.1101/2024.12.22.630003>.

Package: r-cran-cpbayes
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-forestplot, r-cran-purrr, r-cran-mvtnorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cpbayes_1.1.0-1.ca2004.1_all.deb
Size: 128276
MD5sum: 2bb05e33bde61ebfc3dfcb69cbab62f4
SHA1: 170ac70668c77583e8599b7fdb150366f0190dd8
SHA256: 5806508e4feb01e184a175a0af14539ec648ccaa8b6aa935cd66a1c78b945d3e
SHA512: 6050bc857a8696f179dfd3e0cd191e100ff760205600c13edde83ed1aacbc79c3906f5aa0ec9e6ead286b589655a86453528a52acefc9aec482d8efb1d56bc71
Homepage: https://cran.r-project.org/package=CPBayes
Description: CRAN Package 'CPBayes' (Bayesian Meta Analysis for Studying Cross-Phenotype GeneticAssociations)
 A Bayesian meta-analysis method for studying cross-phenotype genetic
 associations. It uses summary-level data across multiple phenotypes to
 simultaneously measure the evidence of aggregate-level pleiotropic
 association and estimate an optimal subset of traits associated with the
 risk locus. CPBayes is based on a spike and slab prior. The methodology is
 available from: A Majumdar, T Haldar, S Bhattacharya, JS Witte (2018)
 <doi:10.1371/journal.pgen.1007139>.

Package: r-cran-cpc
Architecture: all
Version: 2.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-dbscan, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-cpc_2.6.0-1.ca2004.1_all.deb
Size: 80944
MD5sum: 3c74df431238a437d8e7f07a5f9a1bd6
SHA1: bfb45548b26409cff7ca7bae9bfea72b46d7381c
SHA256: 80e0c213399439ba289c7819f2b818b837bd6cbe85cdabb51374ae44ea8caaeb
SHA512: 1c1c44bcc5806732a7099d594e4094c348134e12420158876d60c7b106f5c68454cfe89186435d9b5748442765754e92f6f2ac9c32b6049f7c510c127e4d3221
Homepage: https://cran.r-project.org/package=CPC
Description: CRAN Package 'CPC' (Implementation of Cluster-Polarization Coefficient)
 Implements cluster-polarization coefficient for measuring distributional
 polarization in single or multiple dimensions, as well as associated
 functions.  Contains support for hierarchical clustering, k-means,
 partitioning around medoids, density-based spatial clustering with noise,
 and manually imposed cluster membership.  Mehlhaff (forthcoming)
 <doi:10.1017/S0003055423001041>.

Package: r-cran-cpca
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-abind, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-cpca_0.1.2-1.ca2004.1_all.deb
Size: 32152
MD5sum: fb632ee62f5cd78ba40f9527ad425358
SHA1: f948110f78689270b1c34240e435fb9944926ed0
SHA256: 6f3ba2e13c31194030acff030a35d999dbe8eac95046003ca313e5f57e55a38c
SHA512: e222d0fa3a9e7629cb5b342a378b98071a4c8456685d26300b4869bce0aeafdbf0ff6eb4d0d135e1b16942c6399609d661fc5d9906aa2a3dcd8c616a79af4074
Homepage: https://cran.r-project.org/package=cpca
Description: CRAN Package 'cpca' (Methods to perform Common Principal Component Analysis (CPCA))
 This package contains methods to perform Common Principal Component Analysis
 (CPCA). The stepwise method by Trendafilov is published in the current
 version. Please see Trendafilov (2010). Stepwise estimation of common
 principal components. Computational Statistics & Data Analysis, 54(12),
 3446-3457. doi:10.1016/j.csda.2010.03.010

Package: r-cran-cpcat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cpcat_1.0.0-1.ca2004.1_all.deb
Size: 34852
MD5sum: 8dd04ebb25c9765781a6035547fe7fb4
SHA1: 7e289c1066ebca2144073b3cf12f30ee28cbf6e2
SHA256: 5213914d806a861b54370521cd7fd20241b8f99615192a292b8475370d55c67d
SHA512: cffe233a5fa3cedca1b34dc01062434a9386b7cc2648be211312b711b38a8972bde86f66430109a6954652471f9e00725d0b1ff77fec2b29374c3fd9915df772
Homepage: https://cran.r-project.org/package=CPCAT
Description: CRAN Package 'CPCAT' (The Closure Principle Computational Approach Test)
 P-values and no/lowest observed (adverse) effect concentration values
 derived from the closure principle computational approach test (Lehmann, R.
 et al. (2015) <doi:10.1007/s00477-015-1079-4>) are provided. The package
 contains functions to generate intersection hypotheses according to the
 closure principle (Bretz, F., Hothorn, T., Westfall, P. (2010)
 <doi:10.1201/9781420010909>), an implementation of the computational
 approach test (Ching-Hui, C., Nabendu, P., Jyh-Jiuan, L. (2010)
 <doi:10.1080/03610918.2010.508860>) and the combination of both, that is,
 the closure principle computational approach test.

Package: r-cran-cpd
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hypergeo, r-cran-rdpack, r-cran-dgof
Filename: pool/dists/focal/main/r-cran-cpd_0.3.3-1.ca2004.1_all.deb
Size: 157820
MD5sum: d28d6cb1f64d585cd6edc9c46460fc76
SHA1: b03565d8989cee130ce77f357fcf35ac1303f2fb
SHA256: a228ad22a6f0d225097a7ea89372299bb55fcf3c8297958c0f293f0449a59549
SHA512: 162412aac51dc9e68d1fce9074c40f1b5c60e71fa1037dac2f825f6c4fbc0d295b67dfffe5ebf0180b0420058f57065e82fcbc4d4afe12b985cba0c92b387e77
Homepage: https://cran.r-project.org/package=cpd
Description: CRAN Package 'cpd' (Complex Pearson Distributions)
 Probability mass function, distribution function, quantile function and
 random generation for the Complex Triparametric Pearson (CTP) and Complex
 Biparametric Pearson (CBP) distributions developed by Rodriguez-Avi et al
 (2003) <doi:10.1007/s00362-002-0134-7>, Rodriguez-Avi et al (2004)
 <doi:10.1007/BF02778271> and Olmo-Jimenez et al (2018)
 <doi:10.1080/00949655.2018.1482897>. The package also contains
 maximum-likelihood fitting functions for these models.

Package: r-cran-cpfa
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-multiway, r-cran-glmnet, r-cran-e1071, r-cran-randomforest, r-cran-nnet, r-cran-rda, r-cran-xgboost, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cpfa_1.2-0-1.ca2004.1_all.deb
Size: 489032
MD5sum: 1b328c1c53e34d9f51e8a5eaf4cbd2ef
SHA1: 144450afa7509c5e851c84ef818067fc88fc858b
SHA256: 90f13aaa238a7df6953888f3e6b4a54acfc09b374af12552d013316a780faa49
SHA512: c3c5ed7fcaf4c473e2b907262755a43edba67c99811960285acc1433709a7a1ca5a2a4f1ba33442d2c4764f33de2b0ba012eb7f5067a6ca8433057bb044c9488
Homepage: https://cran.r-project.org/package=cpfa
Description: CRAN Package 'cpfa' (Classification with Parallel Factor Analysis)
 Classification using Richard A. Harshman's Parallel Factor Analysis-1
 (Parafac) model or Parallel Factor Analysis-2 (Parafac2) model fit to a
 three-way or four-way data array. See Harshman and Lundy (1994):
 <doi:10.1016/0167-9473(94)90132-5>. Uses component weights from one mode of
 a Parafac or Parafac2 model as features to tune parameters for one or more
 classification methods via a k-fold cross-validation procedure. Allows for
 constraints on different tensor modes. Supports penalized logistic
 regression, support vector machine, random forest, feed-forward neural
 network, regularized discriminant analysis, and gradient boosting machine.
 Supports binary and multiclass classification. Predicts class labels or
 class probabilities and calculates multiple classification performance
 measures. Implements parallel computing via the 'parallel' and 'doParallel'
 packages.

Package: r-cran-cpgassoc
Architecture: all
Version: 2.70-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-cpgassoc_2.70-1.ca2004.1_all.deb
Size: 1971064
MD5sum: 25bc7522567bcd3ecaddf430e6e60707
SHA1: 4558c77f5b84b0a9e5e1e7cfc859580c44c90510
SHA256: a8970f84106fd224698bc45482bbb16f676d262c23dfe486405c7a5e73e2e4a2
SHA512: a4979de26adbd63fafc3b35f9cac7ff8c4ca9783edf1e718cbf75015215baf0567b4be3e86a7e7d7296bfe3c4495b5d8ad0258448df74c997a0464d2b42a0951
Homepage: https://cran.r-project.org/package=CpGassoc
Description: CRAN Package 'CpGassoc' (Association Between Methylation and a Phenotype of Interest)
 Is designed to test for association between methylation at CpG sites across
 the genome and a phenotype of interest, adjusting for any relevant
 covariates. The package can perform standard analyses of large datasets very
 quickly with no need to impute the data. It can also handle mixed effects
 models with chip or batch entering the model as a random intercept. Also
 includes tools to apply quality control filters, perform permutation tests,
 and create QQ plots, manhattan plots, and scatterplots for individual CpG
 sites.

Package: r-cran-cpgfilter
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-cpgfilter_1.1-1.ca2004.1_all.deb
Size: 18864
MD5sum: cadb4ab7d30e371558b0f9c5fa257112
SHA1: bf0f74901f0fa41fb0a9ff8a15990ba32917e2c1
SHA256: c38720a6661ba916709ec84cfb0daf732f5ad319a4718334b5198a4db7a4cf3e
SHA512: edc6e205e898470abfb761a866653bf8170cbbe509b145495ad5998b70eae705f533393f017debd4bfd868042c54eb26da38ebafcef72d0ff8eef6d44b557126
Homepage: https://cran.r-project.org/package=CpGFilter
Description: CRAN Package 'CpGFilter' (CpG Filtering Method Based on Intra-Class CorrelationCoefficients)
 Filter CpGs based on Intra-class Correlation Coefficients (ICCs) when
 replicates are available. ICCs are calculated by fitting linear mixed
 effects models to all samples including the un-replicated samples. Including
 the large number of un-replicated samples improves ICC estimates
 dramatically. The method accommodates any replicate design.

Package: r-cran-cpgfr
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-osfr, r-cran-lubridate, r-cran-deflatebr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-cpgfr_0.0.1.0-1.ca2004.1_all.deb
Size: 17380
MD5sum: 056d22a54880be7be5fb0a54ecdc5599
SHA1: f4e7e98fea7701fe369f1f51ce70c86cc2d0ea48
SHA256: 8971d707dc9267ca51a04473321575759b48aff28b00a2327e159fb0abfee9dd
SHA512: 310793de0e7d1b376756bb0961c05264a4bdc42a4bbe20e3b06c2c5bd0b460ec221339e70eb599ddb71b3d888fd7eff68d639a3e92ad8345d977ccd2970d5bcb
Homepage: https://cran.r-project.org/package=cpgfR
Description: CRAN Package 'cpgfR' (Consolidates Information from the Federal Government PaymentCard)
 Provides access to consolidated information from the Brazilian Federal
 Government Payment Card. Includes functions to retrieve, clean, and organize
 data directly from the Transparency Portal
 <https://portaldatransparencia.gov.br/download-de-dados/cpgf/> and a curated
 dataset hosted on the Open Science Framework <https://osf.io/z2mxc/>.
 Useful for public spending analysis, transparency research, and reproducible
 workflows in auditing or investigative journalism.

Package: r-cran-cpi
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-mlr3, r-cran-lgr, r-cran-knockoff
Suggests: r-cran-mlr3learners, r-cran-ranger, r-cran-glmnet, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-cpi_0.1.5-1.ca2004.1_all.deb
Size: 46572
MD5sum: 5c27325b5ecf34c606cb3b406ba0c2e6
SHA1: 6fd615b8d1ac460117ce612eb13fcaee2cec1052
SHA256: c5fab08dbd8b575611ea1ea34f172efe2405e98e69f836e11bd2e49a17398faf
SHA512: 0fe690ab860cd5c9e1050f5d51c6c98c9320f76342ad8b746744a42eebe3a55a111fb44267c894fb0b5352066e977ebc4f36c5ebc9a982f7dad22508e91e41b8
Homepage: https://cran.r-project.org/package=cpi
Description: CRAN Package 'cpi' (Conditional Predictive Impact)
 A general test for conditional independence in supervised learning
 algorithms as proposed by Watson & Wright (2021)
 <doi:10.1007/s10994-021-06030-6>.  Implements a conditional variable
 importance measure which can be applied to any supervised learning algorithm
 and loss function. Provides statistical inference procedures without
 parametric assumptions and applies equally well to continuous and
 categorical predictors and outcomes.

Package: r-cran-cpk
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cpk_1.3-1-1.ca2004.1_all.deb
Size: 563120
MD5sum: 4a422d7b2360f69a5c29bf8ef00b97e1
SHA1: a86a6a17e65104464315e7ee9fbd98c93c94d8b3
SHA256: 542b6fbafb7232947ea8599c38a44d0d0817d24d1e547462588b2a6ea1baf38b
SHA512: d8016f414b4c75d720844233c31bb64c23ef1d37e44fe33d5ecf58768c6d99557865a7c8b6e9388c91774ae9836a6069757850f32c94f737cc84c9840e388523
Homepage: https://cran.r-project.org/package=cpk
Description: CRAN Package 'cpk' (Clinical Pharmacokinetics)
 The package cpk provides simplified clinical pharmacokinetic functions for
 dose regimen design and modification at the point-of-care. Currently, the
 following functions are available: (1) ttc.fn for target therapeutic
 concentration, (2) dr.fn for dose rate, (3) di.fn for dosing interval, (4)
 dm.fn for maintenance dose, (5) bc.ttc.fn for back calculation, (6) ar.fn
 for accumulation ratio, (7) dpo.fn for orally administered dose, (8) cmax.fn
 for peak concentration, (9) css.fn for steady-state concentration, (10)
 cmin.fn for trough,(11) ct.fn for concentration-time predictions, (12)
 dlcmax.fn for calculating loading dose based on drug's maximum
 concentration, (13) dlar.fn for calculating loading dose based on drug's
 accumulation ratio, and (14) R0.fn for calculating drug infusion rate.
 Reference: Linares O, Linares A. Computational opioid prescribing: A novel
 application of clinical pharmacokinetics. J Pain Palliat Care Pharmacother
 2011;25:125-135.

Package: r-cran-cplots
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular
Filename: pool/dists/focal/main/r-cran-cplots_0.5-0-1.ca2004.1_all.deb
Size: 76608
MD5sum: eea38af11579b551c6878f6c87917d2c
SHA1: 91c5613f6cdd6612dde5a91a1d2219aff55fb0b6
SHA256: c0e2a078053bef03fa62c3de24d3b8d32403237bcb5fd9b2af44fd23aac61cc4
SHA512: 85dd628bbb0047c9ef1d8754253a3325418b5b9488df460c5a77045a8ae90bcc65beb7bf5c9f2fe16304d25c00dae94855090eea3f84896fdc1504a2f1bad83f
Homepage: https://cran.r-project.org/package=cplots
Description: CRAN Package 'cplots' (Plots for Circular Data)
 Provides functions to produce some circular plots for circular data, in a
 height- or area-proportional manner. They include bar plots, smooth density
 plots, stacked dot plots, histograms, multi-class stacked smooth density
 plots, and multi-class stacked histograms.

Package: r-cran-cpmbigdata
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-hmisc, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-benchmarkme
Filename: pool/dists/focal/main/r-cran-cpmbigdata_0.0.2-1.ca2004.1_all.deb
Size: 37276
MD5sum: 4a3097fd6cfdf68e11d49e9f128a5b3a
SHA1: 132c740ea8de9fefa34fd33236b66b71b4a5d442
SHA256: 27eb4ba5133cf4b0841d23086f9480df8af41b18cd58762d2eaa7eb7255b12ac
SHA512: 16d55b9dbe975495d6436a3682546e9bfb87b9b21c27cfc52970614d70480961831bd945dec5a2eedbf8a5e1e8880daee7b5122f513046b9756381940c1b5b42
Homepage: https://cran.r-project.org/package=cpmBigData
Description: CRAN Package 'cpmBigData' (Fitting Semiparametric Cumulative Probability Models for BigData)
 A big data version for fitting cumulative probability models using the orm()
 function from the 'rms' package.  See Liu et al. (2017)
 <DOI:10.1002/sim.7433> for details.

Package: r-cran-cpmcglm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-plyr, r-cran-abind
Filename: pool/dists/focal/main/r-cran-cpmcglm_1.2-1.ca2004.1_all.deb
Size: 85416
MD5sum: 9ff040be213e543d3aa8fe9a79e1dd83
SHA1: 67fb8928a89a91f359b25e61a67348193ebe42c6
SHA256: eac06bb16e6a4391e02d79a59a555133ab94c25de2a9879c9f0140f3e4e6dd57
SHA512: 81b40cb0bddc173bab49b240cf25b46fe23ba90815fe472d0641d65e2b17f8e771625413a00300f0e301cc62460e2731fea15342c2fc976a3f655e5792c20984
Homepage: https://cran.r-project.org/package=CPMCGLM
Description: CRAN Package 'CPMCGLM' (Correction of the P-Value after Multiple Coding in GeneralizedLinear Models)
 We propose to determine the correction of the significance level after
 multiple coding of an explanatory variable in Generalized Linear Model. The
 different methods of correction of the p-value are the Single step
 Bonferroni procedure, and resampling based methods developed by P.H.Westfall
 in 1993. Resampling methods are based on the permutation and the parametric
 bootstrap procedure. If some continuous, and dichotomous transformations are
 performed this package offers an exact correction of the p-value developed
 by B.Liquet & D.Commenges in 2005. The naive method with no correction is
 also available.

Package: r-cran-cpmerccutoff
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cpmerccutoff_1.0.0-1.ca2004.1_all.deb
Size: 80136
MD5sum: 430252327c519452b67cd63460ea452a
SHA1: 39136beaf05fc66310fcf0291b06aa638823e640
SHA256: bc77d1d126c20f5f3bf10624b09ff28263631453f2cc0706f2fa64829754e027
SHA512: 371008c151fa7ef3ccf6b9dd63de72acdeeac65101c79c96e1e244afdbd8e3c6cb17897f4774b32b873d989fde32ee6b8f32ccbaff92a82249078534bf5e6a65
Homepage: https://cran.r-project.org/package=CpmERCCutoff
Description: CRAN Package 'CpmERCCutoff' (Calculation of Log2 Counts per Million Cutoff from ERCC Controls)
 Implementation of the empirical method to derive log2 counts per million
 (CPM) cutoff to filter out lowly expressed genes using ERCC spike-ins as
 described in Goll and Bosinger et.al (2022)<doi:10.1101/2022.06.23.497396>.
 This package utilizes the synthetic mRNA control pairs developed by the
 External RNA Controls Consortium (ERCC) (ERCC 1 / ERCC 2) that are spiked
 into sample pairs at known ratios at various absolute abundances.  The
 relationship between the observed and expected fold changes is then used to
 empirically determine an optimal log2 CPM cutoff for filtering out lowly
 expressed genes.

Package: r-cran-cpmr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-rfast, r-cran-tibble
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cpmr_0.1.0-1.ca2004.1_all.deb
Size: 41172
MD5sum: aac1b2990628314e859f82175d2f3b2a
SHA1: 2325fe8ceccaf27c79373004059b2ffa16562cb0
SHA256: d19709f1f7db89640bea595f83e6c1728b950c9f3e438b39562114b12509081b
SHA512: 9fe44d3d2b5b00bd113685ed9e8b4da9540e2231a308679d36edcb8db17a686057d4d9d9e46e7f3cdccee8c654d65b407e23b27e6909d435df40b21ce6a7f041
Homepage: https://cran.r-project.org/package=cpmr
Description: CRAN Package 'cpmr' (Connectome Predictive Modelling in R)
 Connectome Predictive Modelling (CPM) (Shen et al. (2017)
 <doi:10.1038/nprot.2016.178>) is a method to predict individual differences
 in behaviour from brain functional connectivity. 'cpmr' provides a simple
 yet efficient implementation of this method.

Package: r-cran-cpncoverageanalysis
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cpncoverageanalysis_1.1.0-1.ca2004.1_all.deb
Size: 45492
MD5sum: e0b1d35ba72a61d2e2ceb49bbd4528e4
SHA1: 849efa4410cc28e886dbe070b2a602229718d170
SHA256: 8b19fc85c9947ad8b8fc577271a7f7555b9e35976eb4e626f3818c9ab849209b
SHA512: 99d04d84f4fc25f9e41f6f7474967e5b5a12b59007ef9afcf8aaeac590ccee65a2ce49b45437796b793c492f826a0cd5c2bb0d3c9f22180ab6d27a35c0afadd1
Homepage: https://cran.r-project.org/package=CPNCoverageAnalysis
Description: CRAN Package 'CPNCoverageAnalysis' (Conceptual Properties Norming Studies as Parameter Estimation)
 Implementation of conceptual properties norming studies, including estimates
 of CPNs parameters with their corresponding variances and estimates for the
 sampling process, and a sampling property function based on a modified
 empirical distribution from the original data.

Package: r-cran-cpp11
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1047
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bench, r-cran-brio, r-cran-callr, r-cran-cli, r-cran-covr, r-cran-decor, r-cran-desc, r-cran-ggplot2, r-cran-glue, r-cran-knitr, r-cran-lobstr, r-cran-mockery, r-cran-progress, r-cran-rmarkdown, r-cran-scales, r-cran-rcpp, r-cran-testthat, r-cran-tibble, r-cran-vctrs, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cpp11_0.5.2-1.ca2004.1_all.deb
Size: 216616
MD5sum: 07771a99730962a2e08915fbb3104440
SHA1: 6fa16abaace0d90d6ff6a1a24020900c35551368
SHA256: 1a54a9cd2f48ad89e6cca4002c50b7c13b0086f10fb7366793dc3f218d3361c1
SHA512: 9eab0d26da8f3a54ef291c99781ab284aa3fe443ca42ab9f2db591330396286e28cce5221fc277aaddf8789efc573bb0d7619146c5f96d6728640b2b9353341c
Homepage: https://cran.r-project.org/package=cpp11
Description: CRAN Package 'cpp11' (A C++11 Interface for R's C Interface)
 Provides a header only, C++11 interface to R's C interface.  Compared to
 other approaches 'cpp11' strives to be safe against long jumps from the C
 API as well as C++ exceptions, conform to normal R function semantics and
 supports interaction with 'ALTREP' vectors.

Package: r-cran-cpp11armadillo
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7378
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cpp11
Suggests: r-cran-desc, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cpp11armadillo_0.5.2-1.ca2004.1_all.deb
Size: 583744
MD5sum: c633769136c83f9ab0520230c7f4b732
SHA1: a9a86b99edd5ab142436c98b5f00d492f2599ecc
SHA256: 30b6dbca6e2aad7d1b8f34c3f9e95629aa18f5aa61c6453fb2532fe7f4edfef6
SHA512: f5fbd86a3b7ec4f442c29c10270891913d66c814ed4e16aee94787d8012192d4cb9ceb29188722f5d7b62ceae8e13054b0121d81baec405f8169fda1590da18d
Homepage: https://cran.r-project.org/package=cpp11armadillo
Description: CRAN Package 'cpp11armadillo' (An 'Armadillo' Interface)
 Provides function declarations and inline function definitions that
 facilitate communication between R and the 'Armadillo' 'C++' library for
 linear algebra and scientific computing. This implementation is detailed in
 Vargas Sepulveda and Schneider Malamud (2024)
 <doi:10.1016/j.softx.2025.102087>.

Package: r-cran-cpp11eigen
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7665
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cpp11, r-cran-desc, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cpp11eigen_0.2.0-1.ca2004.1_all.deb
Size: 1066868
MD5sum: a9184af29d1c44f23503a49de046e59c
SHA1: 9a0ca3dd75600e0f79538be93982e8f34a063b37
SHA256: a913aa261145596c7f7799e0d7077764011e0648d83d196e1242876bd650d53f
SHA512: 921327f4790bfd378cccc5bdd948a6c9369077dcd19453e2833ef542213cb744fed61ef3b8b8299a3194b78d1e203cfe8dbb8366813ee9133a30223712e86a25
Homepage: https://cran.r-project.org/package=cpp11eigen
Description: CRAN Package 'cpp11eigen' (An 'Eigen' Interface)
 Provides function declarations and inline function definitions that
 facilitate communication between R and the 'Eigen' 'C++' library for linear
 algebra and scientific computing.

Package: r-cran-cpp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ineq, r-cran-kappalab, r-cran-mc2d
Filename: pool/dists/focal/main/r-cran-cpp_0.1.0-1.ca2004.1_all.deb
Size: 137776
MD5sum: 694796e78f50329986d668ae8477cab1
SHA1: e179d64207b835c1ea07c28d8e97abd1b08769d4
SHA256: 5db829c2207d5e8a0d76e743a93c7aa7f629759cfdd0ce8d5d17b4df09f44cde
SHA512: a1c94c50c13016cd774bace88d824a8ab6fe3a3274ef89bf5c3f6c66e1f3f8b22d39c4e553d14707f11073eb2b98f8b44488c593f7b2c7d44c7d1993f7580209
Homepage: https://cran.r-project.org/package=CPP
Description: CRAN Package 'CPP' (Composition of Probabilistic Preferences (CPP))
 CPP is a multiple criteria decision method to evaluate alternatives on
 complex decision making problems, by a probabilistic approach. The CPP was
 created and expanded by Sant'Anna, Annibal P. (2015)
 <doi:10.1007/978-3-319-11277-0>.

Package: r-cran-cppcheckr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-v8, r-cran-xml2
Suggests: r-cran-htmltools, r-cran-shinyace, r-cran-shinybusy, r-cran-shinyfiles, r-cran-shinyjqui, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-cppcheckr_1.0.0-1.ca2004.1_all.deb
Size: 92576
MD5sum: 86ef0c65e98da9d54abf0f2dd9549f31
SHA1: aef295cb61dc8eb16e6c1e7b3285d822dd8daeb5
SHA256: bbb0a3d8d7f28ba2588a8a12e196e185edb15f04fa573de7109958cb6f90b28f
SHA512: 5f55115a1f7c69a0c78f3b79f0c870db8a94f3d1c55ad447d7b68fbd6bcc71a732d6644f27f13a4923896da636568f5c9faf2a58aa2b86e822024b47c443d432
Homepage: https://cran.r-project.org/package=cppcheckR
Description: CRAN Package 'cppcheckR' (Check 'C' and 'C++' Files using 'Cppcheck')
 Allow to run 'Cppcheck' (<https://cppcheck.sourceforge.io/>) on 'C' and
 'C++' files with a 'R' command or a 'RStudio' addin. The report appears in
 the 'RStudio' viewer pane as a formatted 'HTML' file. It is also possible to
 get this report with a 'shiny' application. 'Cppcheck' can spot many error
 types and it can also give some recommendations on the code.

Package: r-cran-cprob
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-prodlim, r-cran-tpr, r-cran-geepack, r-cran-lgtdl, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-cprob_1.4.1-1.ca2004.1_all.deb
Size: 91092
MD5sum: dd4eb505fbd841a4de40fcae9e51bc4e
SHA1: 8025721522bd7c651b5f396f7eb92c8722b62f81
SHA256: d26a5dc7c7627d8219edc0386b2e2dd5969c829f7e7795802377a568bcadfa91
SHA512: 975db5f9e70b47157bd0844d3944e293b288a5552dcc12932989f7093bebc3a08b59ebef976ed5884c5ad9ed0beeba187ec5bcf50381311d70aca455af87fe33
Homepage: https://cran.r-project.org/package=Cprob
Description: CRAN Package 'Cprob' (The Conditional Probability Function of a Competing Event)
 Permits to estimate the conditional probability function of a competing
 event, and to fit, using the temporal process regression or the pseudo-value
 approach, a proportional-odds model to the conditional probability function
 (or other models by specifying another link function). See
 <doi:10.1111/j.1467-9876.2010.00729.x>.

Package: r-cran-cprobit
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-nortest, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-cprobit_1.0.2-1.ca2004.1_all.deb
Size: 84820
MD5sum: b854783ca4d8fe75a73edd22d27cfb4b
SHA1: 9e11436261f1c32be57b9fb301cf74fb6c8ff3cd
SHA256: 8bd6a8f1e595afcf25790bffcdcc4d9058a4845c4f10702e7a320d7adf85aa47
SHA512: 5dedf60dec9f082ffd7bd039bf99e0f281ea033f2919afc954916b68969f31b8d4b115f3c316b9b72234fe88a5aefe6af43ca6f573a64082243656f39c73a0cf
Homepage: https://cran.r-project.org/package=cprobit
Description: CRAN Package 'cprobit' (Conditional Probit Model for Analysing Continuous Outcomes)
 Implements the three-step workflow for robust analysis of change in two
 repeated measurements of continuous outcomes, described in Ning et al.  (in
 press), "Robust estimation of the effect of an exposure on the change in a
 continuous outcome", BMC Medical Research Methodology.

Package: r-cran-cprr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cprr_0.2.0-1.ca2004.1_all.deb
Size: 22172
MD5sum: 1cd76fd2b1bb7c2abcf858b9c9fafae6
SHA1: ccdca98b255074e7f379c72b97ac6db43d2a6f3d
SHA256: 99a122549f8efb18b438f109c898f359f2c96a5a222a11005a2fca5ab7360a19
SHA512: 871b09b9f110ea3b72985d66c06f261c20216de143946d16420567723f07924b0c442b80605929798e595d5872bb297a4173c3e09a036e0a9bcdf699238bad11
Homepage: https://cran.r-project.org/package=cprr
Description: CRAN Package 'cprr' (Functions for Working with Danish CPR Numbers)
 Calculate date of birth, age, and gender, and generate anonymous sequence
 numbers from CPR numbers.
 <https://en.wikipedia.org/wiki/Personal_identification_number_(Denmark)>.

Package: r-cran-cpseudomarg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cpseudomarg_1.0.1-1.ca2004.1_all.deb
Size: 45656
MD5sum: a87cd025588c5fc0d2d1fb700d6f5cb2
SHA1: 15e424a4d7bb4e33fb2849c1a053cf08836cbbb6
SHA256: 680a03d11b5f87c38b1a88c1888b0b87bb8c8ad8a86d440322d5507e34092af8
SHA512: b803684b3104b44f7daaae47b4a60d83c1f9122697db0036fa7fc12806c299c7218a33bcf4816dd0dea298ea9a9255eba7743191f4a9d0bc5f378d7b15870430
Homepage: https://cran.r-project.org/package=cPseudoMaRg
Description: CRAN Package 'cPseudoMaRg' (Constructs a Correlated Pseudo-Marginal Sampler)
 The primary function makeCPMSampler() generates a sampler function which
 performs the correlated pseudo-marginal method of Deligiannidis, Doucet and
 Pitt (2017) <arXiv:1511.04992>. If the 'rho=' argument of makeCPMSampler()
 is set to 0, then the generated sampler function performs the original
 pseudo-marginal method of Andrieu and Roberts (2009)
 <DOI:10.1214/07-AOS574>. The sampler function is constructed with the user's
 choice of prior, parameter proposal distribution, and the likelihood
 approximation scheme. Note that this algorithm is not automatically
 tuned--each one of these arguments must be carefully chosen.

Package: r-cran-cpsr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cpsr_1.0.0-1.ca2004.1_all.deb
Size: 22736
MD5sum: 8d5338e42901bd55ac907b9e5ffe1fad
SHA1: ee7710475d17c84c258a04bfc74fc7861880a673
SHA256: b18d8a666dc79a66cabbf64153d4724535104129ccb0fb2f0a29b58185e3b55d
SHA512: 322f0c00ec7a23e316ab658d8330446521d7948589187b3a1d252a7c26c387d22e37ff70bf07ea5e8609933cd334ebf9eba38a1e343000bd866a0b12630f5f77
Homepage: https://cran.r-project.org/package=cpsR
Description: CRAN Package 'cpsR' (Load CPS Microdata into R Using the 'Census Bureau Data' API)
 Load Current Population Survey (CPS) microdata into R using the 'Census
 Bureau Data' API (<https://www.census.gov/data/developers/data-sets.html>),
 including basic monthly CPS and CPS ASEC microdata.

Package: r-cran-cpsurv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-muhaz
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cpsurv_1.0.0-1.ca2004.1_all.deb
Size: 80996
MD5sum: ae8dd5475c6b21a1f70aa99bd0435053
SHA1: b181efe895e86eafd7b90bab751297cc554f301d
SHA256: e00aa02e5c0ae14e0d727743f8eb2993dfb85919be616a9bd35b4238554d6bcf
SHA512: a0fca31b89e5a6ccdbe836f4d307db7be0bfa221a3f617ed6cbe419797aa37eb0776664ddfce74553df211d499e08bdaee48727a0f520c928fb8e62de6fd5117
Homepage: https://cran.r-project.org/package=CPsurv
Description: CRAN Package 'CPsurv' (Nonparametric Change Point Estimation for Survival Data)
 Nonparametric change point estimation for survival data based on p-values of
 exact binomial tests.

Package: r-cran-cpsurvsim
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-hmisc, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cpsurvsim_1.2.2-1.ca2004.1_all.deb
Size: 52044
MD5sum: a3f29bd65a9bf3f05debacb7f2e3e91d
SHA1: 5a78f0b9dab23a2755c4c1d09b7dbfbb02ee9e2a
SHA256: d01fb48c32611faf12e541c5f3218e0217708ff042bfa512d3086e04e8d17b1a
SHA512: c3392c74dfe287e953e2c031f7b1fb59e728b392f528452923e72e8029b3f9d260a9e49fa53823c73c41aed121c959a4089a71997e23963d52397a49f5c7a21e
Homepage: https://cran.r-project.org/package=cpsurvsim
Description: CRAN Package 'cpsurvsim' (Simulating Survival Data from Change-Point Hazard Distributions)
 Simulates time-to-event data with type I right censoring using two methods:
 the inverse CDF method and our proposed memoryless method. The latter method
 takes advantage of the memoryless property of survival and simulates a
 separate distribution between change-points. We include two parametric
 distributions: exponential and Weibull.  Inverse CDF method draws on the
 work of Rainer Walke (2010),
 <https://www.demogr.mpg.de/papers/technicalreports/tr-2010-003.pdf>.

Package: r-cran-cpsvote
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-readr, r-cran-dplyr, r-cran-stringr, r-cran-forcats, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survey, r-cran-srvyr, r-cran-here, r-cran-scales, r-cran-ggplot2, r-cran-usmap
Filename: pool/dists/focal/main/r-cran-cpsvote_0.1.0-1.ca2004.1_all.deb
Size: 409668
MD5sum: 3d3923c33b352f6837dd16ea52f43dac
SHA1: aa07c939d93898e55d60c97fc74abda5617c205c
SHA256: 1e9051e71528209e4875b8ed55dd99a0a73d3f73d5ec998ef299bc2c856edfd6
SHA512: 30ae90c99d6535dc9783057ea98e2cf107976e2b0d86e2eb06b14a5421e6c65dda857430e7c5fbc6907959bbc6de1e350383a789a8055452654bd4c14af7b82e
Homepage: https://cran.r-project.org/package=cpsvote
Description: CRAN Package 'cpsvote' (A Toolbox for Using the CPS’s Voting and Registration Supplement)
 Provides automated methods for downloading, recoding, and merging selected
 years of the Current Population Survey's Voting and Registration Supplement,
 a large N national survey about registration, voting, and non-voting in
 United States federal elections. Provides documentation for appropriate use
 of sample weights to generate statistical estimates, drawing from Hur &
 Achen (2013) <doi:10.1093/poq/nft042> and McDonald (2018)
 <http://www.electproject.org/home/voter-turnout/voter-turnout-data>.

Package: r-cran-cpt
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nnet, r-cran-randomforest, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-cpt_1.0.2-1.ca2004.1_all.deb
Size: 33392
MD5sum: 2c6ec7dde38ced5c97dd17b0a8a6a601
SHA1: 046b21b9725d8e6e61d6258c3baba213dad6b261
SHA256: 580ef026d38311093a4021c69b58a1d7617da3465db1893b3336ef611e2b6fe2
SHA512: b896f206fa57da947f79d5ae3863d037f7605c6f7f4a09cd2b0ce76e01a6dfa315a1c576e8c503b682f5e8a6cbca194a9e851492d31f02d76e1ea5cc6afa78e2
Homepage: https://cran.r-project.org/package=cpt
Description: CRAN Package 'cpt' (Classification Permutation Test)
 Non-parametric test for equality of multivariate distributions.  Trains a
 classifier to classify (multivariate) observations as coming from one of
 several distributions.  If the classifier is able to classify the
 observations better than would be expected by chance (using permutation
 inference), then the null hypothesis that the distributions are equal is
 rejected.

Package: r-cran-cptcity
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1308
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cptcity_1.1.1-1.ca2004.1_all.deb
Size: 972792
MD5sum: 897e7d269e372df016e997e581d88432
SHA1: a515b579af780f7634f3ba1720a423e7bb91c591
SHA256: 230a2fb9866d84dbec300becd65c8bd0331186ea4b60a067dd96502bc6c3280e
SHA512: b957c4025431b2f39d897b742a69a99a656aba2e73f3a2a408ed9e3dde2366a7e797849ef656ee770d15c7bb7145e22a84555acec38f0fa671e1bffbe70dc85c
Homepage: https://cran.r-project.org/package=cptcity
Description: CRAN Package 'cptcity' ('cpt-city' Colour Gradients)
 Incorporates colour gradients from the 'cpt-city' web archive available at
 <http://seaviewsensing.com/pub/cpt-city/>.

Package: r-cran-cptec
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cptec_0.1.1-1.ca2004.1_all.deb
Size: 46044
MD5sum: cc665d7a3c2687dc19c126fe033dafa3
SHA1: b7895bf14d9dcb39c4a2530b0769fbb1551410a2
SHA256: 7dd59f58348bdd137c4d9d77402bdb7598198d94bd954c59cd212a86750dd7ea
SHA512: 1e0b06675c61bc65204a26b3071afa872cfc7d7512fd586376883b189125792f9f5df14cf7088e386eff4f1342e603c55df4baaa7174dc0cab228e25dbd62573
Homepage: https://cran.r-project.org/package=cptec
Description: CRAN Package 'cptec' (An Interface to the 'CPTEC/INPE' API)
 Allows to retrieve data from the 'CPTEC/INPE' weather forecast API. 'CPTEC'
 stands for 'Centro de Previsão de Tempo e Estudos Climáticos' and 'INPE' for
 'Instituto Nacional de Pesquisas Espaciais'. 'CPTEC' is the most advanced
 numerical weather and climate forecasting center in Latin America, with
 high-precision short and medium-term weather forecasting since the beginning
 of 1995. See <https://www.cptec.inpe.br/> for more information.

Package: r-cran-cqcr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-anytime, r-cran-snakecase, r-cran-rlang, r-cran-purrr
Suggests: r-cran-testthat, r-cran-covr, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-scales, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-cqcr_0.1.2-1.ca2004.1_all.deb
Size: 186964
MD5sum: 3fc25ec2ee2136d8c885c80eeb6a0ce5
SHA1: e0659c70bb32ead08a8ab008ac3406b9a7168566
SHA256: 3b10ceef33e4552b52f555ca228737a86a5a47a4e02ff5f607a6ea7ebecc3474
SHA512: 432dadf84e9b5dcaeeee37eb9150556126be46f97b38345e1cb5c7f07d4d68a366d6b8ea2e75c67a733a997df6a403a19cced8748af7b7931851308df5fc0790
Homepage: https://cran.r-project.org/package=cqcr
Description: CRAN Package 'cqcr' (Access 'Care Quality Commission' Data)
 Access data from the 'Care Quality Commission', the health and adult social
 care regulator for England. The 'Care Quality Commission' operates an API
 <https://www.cqc.org.uk/about-us/transparency/using-cqc-data#api>, with data
 available under the Open Government License. Data includes information on
 service providers, locations such as hospitals, care homes and medical
 clinics, and ratings and inspection reports.

Package: r-cran-cquad
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-plm, r-cran-formula
Filename: pool/dists/focal/main/r-cran-cquad_2.3-1.ca2004.1_all.deb
Size: 196600
MD5sum: e5359e2c242a707c10c9600e0b0a9ac3
SHA1: e53b914f5aa63d11b0e50a8b176797741abb35a9
SHA256: b2b0a2129d7865b3acc91da36a6f00c491aef59387ccb952edb7ac1b4e80071e
SHA512: faaf2adee0e35fffe89ff5dbbdf2483be4a548138db437938e29f3c1fa1d543fd2a968fe7e4f1b0e2fccf3e5e663577b68473a9a744ea30a81f33d72e71dc37b
Homepage: https://cran.r-project.org/package=cquad
Description: CRAN Package 'cquad' (Conditional Maximum Likelihood for Quadratic Exponential Modelsfor Binary Panel Data)
 Estimation, based on conditional maximum likelihood, of the quadratic
 exponential model proposed by Bartolucci, F. & Nigro, V. (2010,
 Econometrica) <DOI:10.3982/ECTA7531> and of a simplified and a modified
 version of this model. The quadratic exponential model is suitable for the
 analysis of binary longitudinal data when state dependence (further to the
 effect of the covariates and a time-fixed individual intercept) has to be
 taken into account. Therefore, this is an alternative to the dynamic logit
 model having the advantage of easily allowing conditional inference in order
 to eliminate the individual intercepts and then getting consistent estimates
 of the parameters of main interest (for the covariates and the lagged
 response). The simplified version of this model does not distinguish, as the
 original model does, between the last time occasion and the previous
 occasions. The modified version formulates in a different way the
 interaction terms and it may be used to test in a easy way state dependence
 as shown in Bartolucci, F., Nigro, V. & Pigini, C. (2018, Econometric
 Reviews) <DOI:10.1080/07474938.2015.1060039>.  The package also includes
 estimation of the dynamic logit model by a pseudo conditional estimator
 based on the quadratic exponential model, as proposed by Bartolucci, F. &
 Nigro, V. (2012, Journal of Econometrics)
 <DOI:10.1016/j.jeconom.2012.03.004>.  For large time dimensions of the
 panel, the computation of the proposed models involves a recursive function
 from Krailo M. D., & Pike M. C. (1984, Journal of the Royal Statistical
 Society. Series C (Applied Statistics)) and Bartolucci F., Valentini, F. &
 Pigini C.  (2021, Computational Economics <DOI:10.1007/s10614-021-10218-2>.

Package: r-cran-cr2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-nlme, r-cran-matrix, r-cran-generics, r-cran-magrittr, r-cran-broom, r-cran-dplyr, r-cran-performance, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cr2_0.2.1-1.ca2004.1_all.deb
Size: 129268
MD5sum: 04f25587468eee52b1107440d3ee84ef
SHA1: 09544f07b69eae09fd7e590125a86d5a0be85664
SHA256: 23272409e7833259cf08bda61f1d90c846024c3508af367bfb5f67de347fe760
SHA512: f719a339cdcb54c38a204ca0ce5c6bc9627b33ddb25cb2bc5fedce023fd59c4d62bd268cca7d6cc61e75b1de087c2235f423f85d653f286e1e6faa53439dc04d
Homepage: https://cran.r-project.org/package=CR2
Description: CRAN Package 'CR2' (Compute Cluster Robust Standard Errors with Degrees of FreedomAdjustments)
 Estimate different types of cluster robust standard errors (CR0, CR1, CR2)
 with degrees of freedom adjustments. Standard errors are computed based on
 'Liang and Zeger' (1986) <doi:10.1093/biomet/73.1.13> and Bell and
 'McCaffrey'
 <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>.
 Functions used in Huang and Li <doi:10.3758/s13428-021-01627-0>, Huang,
 'Wiedermann', and 'Zhang' <doi:10.1080/00273171.2022.2077290>, and Huang,
 'Zhang', and Li (forthcoming: Journal of Research on Educational
 Effectiveness).

Package: r-cran-crabs
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1209
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-desolve, r-cran-dplyr, r-cran-tibble, r-cran-colorspace, r-cran-patchwork, r-cran-latex2exp, r-cran-tidyr, r-cran-pracma, r-cran-ape
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crabs_1.2.0-1.ca2004.1_all.deb
Size: 1197152
MD5sum: 2483686f8625b1b66431b7bd4ec3bd8f
SHA1: 8d60a4addfd4d8bbcd5f6968af12ad86815efdd5
SHA256: 41030b2e710ad4b979ec8356236d0c2f4dbb8cfadacfdfb308c873f0b839494c
SHA512: 650444914c1d9c1f6c5d2b2853d6ade702216a794495077e4c62ace11739cc727ce724f0069444e954352cfb56356cd1974f330bcc5d114d0d8f57ec20c6f8d7
Homepage: https://cran.r-project.org/package=CRABS
Description: CRAN Package 'CRABS' (Congruent Rate Analyses in Birth-Death Scenarios)
 Features tools for exploring congruent phylogenetic birth-death models. It
 can construct the pulled speciation- and net-diversification rates from a
 reference model. Given alternative speciation- or extinction rates, it can
 construct new models that are congruent with the reference model.
 Functionality is included to sample new rate functions, and to visualize the
 distribution of one congruence class. See also Louca & Pennell (2020)
 <doi:10.1038/s41586-020-2176-1>.

Package: r-cran-crac
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crac_1.0-1.ca2004.1_all.deb
Size: 29936
MD5sum: 0a623375e6a29479f3715f45366264c6
SHA1: e260b58b90e41a0090e20930c39a5686b8a5c122
SHA256: 06d1c993e9209f7e9e397d66b7572b72ea2a457f18a95e32dfe3c60699ca091d
SHA512: fb6ad378c102c824eb801c3f12992bfe138b9c79256ce6237f2f3b5a6e648c32b9a2e06b2c74eab10783c36a7bab4a3519693fbbf5078cc0d426d0d847383844
Homepage: https://cran.r-project.org/package=CRAC
Description: CRAN Package 'CRAC' (Cosmology R Analysis Code)
 R functions for cosmological research.  The main functions are similar to
 the python library, cosmolopy.

Package: r-cran-cragg
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-expm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cragg_0.0.1-1.ca2004.1_all.deb
Size: 33332
MD5sum: b62f0a7f0453aebcc837b0e79c3137ae
SHA1: 5869fad80b667bb054620506677060643772a038
SHA256: 217e5907d04e9b668562b613385ab00a81a9446a02e720b88e3ef007df297d49
SHA512: a8801fdf88a66a118b2b8715b0e0bae158b8fbd7fba03bc4901c46c12d5a7e87d5422e4260e8539ad5c6dfe18f7ecba25e7dafc169090f8eb17d0184d786c5b2
Homepage: https://cran.r-project.org/package=cragg
Description: CRAN Package 'cragg' (Tests for Weak Instruments in R)
 Implements Cragg-Donald (1993) <doi:10.1017/S0266466600007519> and Stock and
 Yogo (2005) <doi:10.1017/CBO9780511614491.006> tests for weak instruments in
 R.

Package: r-cran-cramr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-grf, r-cran-glmnet, r-cran-magrittr, r-cran-doparallel, r-cran-foreach, r-cran-dt, r-cran-data.table, r-cran-keras, r-cran-dplyr, r-cran-purrr, r-cran-r6, r-cran-rjson, r-cran-r.devices, r-cran-itertools, r-cran-iterators
Suggests: r-cran-testthat, r-cran-covr, r-cran-kableextra, r-cran-profvis, r-cran-devtools, r-cran-waldo, r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-gbm, r-cran-nnet, r-cran-withr
Filename: pool/dists/focal/main/r-cran-cramr_0.1.0-1.ca2004.1_all.deb
Size: 3502528
MD5sum: 1787b3565e1857ceb4e4554be8d11355
SHA1: 27f5018afe6886614e936dfad105f6297c97dfa1
SHA256: f2e4cf07d482d12945fd8ddd5059513f1ce9196017af72e568feb2cfe72cf44a
SHA512: 2950b3d17605188ceb9e5ccb0fe14ab3de129886e7ae7f4afe8d6022187e5ec0fdea6e8a8671e782bba06c3922c60a514e68181e9b23e025161aa74cd4c45ba7
Homepage: https://cran.r-project.org/package=cramR
Description: CRAN Package 'cramR' (Cram Method for Efficient Simultaneous Learning and Evaluation)
 Performs the Cram method, a general and efficient approach to simultaneous
 learning and evaluation using a generic machine learning algorithm. In a
 single pass of batched data, the proposed method repeatedly trains a machine
 learning algorithm and tests its empirical performance. Because it utilizes
 the entire sample for both learning and evaluation, cramming is
 significantly more data-efficient than sample-splitting. Unlike
 cross-validation, Cram evaluates the final learned model directly, providing
 sharper inference aligned with real-world deployment. The method naturally
 applies to both policy learning and contextual bandits, where decisions are
 based on individual features to maximize outcomes. The package includes
 cram_policy() for learning and evaluating individualized binary treatment
 rules, cram_ml() to train and assess the population-level performance of
 machine learning models, and cram_bandit() for on-policy evaluation of
 contextual bandit algorithms. For all three functions, the package provides
 estimates of the average outcome that would result if the model were
 deployed, along with standard errors and confidence intervals for these
 estimates. Details of the method are described in Jia, Imai, and Li (2024)
 <https://www.hbs.edu/ris/Publication%20Files/2403.07031v1_a83462e0-145b-4675-99d5-9754aa65d786.pdf>
 and Jia et al. (2025) <doi:10.48550/arXiv.2403.07031>.

Package: r-cran-crane
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-flextable, r-cran-gt, r-cran-gtsummary, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crane_0.1.0-1.ca2004.1_all.deb
Size: 113556
MD5sum: 5e96d199722ee916fc351ebc321f38a5
SHA1: 10962229ae5e1e89372d5e8468abadec1e8dcc11
SHA256: 1f851e3adccff220afe88ae8239e5570223ec614af547746a4693524c5849a4d
SHA512: 1416c48b7c22f9ede06b1a6270800369a55d18912af0121d3c83a9100adc5d6134a1ba6c00c3a6fcc65b3641a785515cf86f60cece8215af2026932a253cc2d5
Homepage: https://cran.r-project.org/package=crane
Description: CRAN Package 'crane' (Supplements the 'gtsummary' Package for Pharmaceutical Reporting)
 Tables summarizing clinical trial results are often complex and require
 detailed tailoring prior to submission to a health authority.  The 'crane'
 package supplements the functionality of the 'gtsummary' package for
 creating these often highly bespoke tables in the pharmaceutical industry.

Package: r-cran-crank
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crank_1.1-2-1.ca2004.1_all.deb
Size: 76288
MD5sum: 0f38bdeb44a1268b8133a31e812213bf
SHA1: eaf408f3ea15063d4ef4fa2add1e7b456abd0dc8
SHA256: 8dfb1152710e39d330a5fdeb085ccdba8db04bea127515a3e46aca3b4b06034f
SHA512: 2ac5109c9fdd4112a174018bf905674eb184b7e7ecc9569bb4bed7886e470fd09736778515bf1537e6996af8baa89a997f5b42faad90c5caa4c04373f5ccae6b
Homepage: https://cran.r-project.org/package=crank
Description: CRAN Package 'crank' (Completing Ranks)
 Functions for completing and recalculating rankings and sorting.

Package: r-cran-cranlike
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-debugme, r-cran-desc, r-cran-rsqlite
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat, r-cran-withr, r-cran-zip
Filename: pool/dists/focal/main/r-cran-cranlike_1.0.3-1.ca2004.1_all.deb
Size: 45560
MD5sum: eb6821c2b355d5fc96cd1676dee38974
SHA1: ce79ac21d93b274b6c14188c34728204b43f2009
SHA256: 718b25424de6db26109cbda550842335e1c3c55040405f74a97794812bd2bded
SHA512: f1495f726525b4e3b2affdb3e2d943cb43f04a08618865df5ba733be8d802c39350391a49c2e8e52e8e4f59ef412e8a299b2140a6110ac7a5e6d328df5aea0f2
Homepage: https://cran.r-project.org/package=cranlike
Description: CRAN Package 'cranlike' (Tools for 'CRAN'-Like Repositories)
 A set of functions to manage 'CRAN'-like repositories efficiently.

Package: r-cran-cranlogs
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cranlogs_2.1.1-1.ca2004.1_all.deb
Size: 25264
MD5sum: 7e72a990a2f60e79662cf9bb9e2f5413
SHA1: 424c4d545312831e6a9393219b419577f7d714b3
SHA256: 773eb27ff2bd364a61fc8b970429076867a24d24b061529e3aed39beca49de6b
SHA512: 694a9ef70f838e77b53135a7284eef7a5b9541bec1388964241a2c6403609b3a31929bb10f92edb9ff033e4095a2c59798824e39db335d78b5aeeda57cacebf2
Homepage: https://cran.r-project.org/package=cranlogs
Description: CRAN Package 'cranlogs' (Download Logs from the 'RStudio' 'CRAN' Mirror)
 'API' to the database of 'CRAN' package downloads from the 'RStudio' 'CRAN
 mirror'. The database itself is at <http://cranlogs.r-pkg.org>, see
 <https://github.com/r-hub/cranlogs.app> for the raw 'API'.

Package: r-cran-cranly
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5441
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-visnetwork, r-cran-colorspace, r-cran-igraph, r-cran-stringr, r-cran-ggplot2, r-cran-countrycode, r-cran-wordcloud, r-cran-tm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cranly_0.6.0-1.ca2004.1_all.deb
Size: 1726884
MD5sum: 1907421feb66462063e1dcb046c1be49
SHA1: 16d1f7cea8adf97d6b2fa5c7bc7fb1635a303cb1
SHA256: 310675a9184d93a1934c1ebb4b9dd7e57938f068181d6a95966543ccdc937ff6
SHA512: 4cf81ceb2abbbd84c1b6a7fc3cda6bcb7c522d8829d8f8680ae8a0dd0eb0a119543457fdef617374fd1b96a61dbe51b0be900035b227b62c1bf11ff41ff135c5
Homepage: https://cran.r-project.org/package=cranly
Description: CRAN Package 'cranly' (Package Directives and Collaboration Networks in CRAN)
 Core visualizations and summaries for the CRAN package database. The package
 provides comprehensive methods for cleaning up and organizing the
 information in the CRAN package database, for building package directives
 networks (depends, imports, suggests, enhances, linking to) and
 collaboration networks, producing package dependence trees, and for
 computing useful summaries and producing interactive visualizations from the
 resulting networks and summaries. The resulting networks can be coerced to
 'igraph' <https://CRAN.R-project.org/package=igraph> objects for further
 analyses and modelling.

Package: r-cran-cransearcher
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1658
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-curl, r-cran-shiny, r-cran-shinyjs, r-cran-miniui, r-cran-stringr, r-cran-dt, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-cransearcher_1.0.0-1.ca2004.1_all.deb
Size: 1635272
MD5sum: 9ed36dbf0ad0cac0e820c262ca8a4e8f
SHA1: a8d0a84a4d60208913cdaebea2ac78979a53ebe1
SHA256: bb7b132940c07f292aba3737ad8b5f46c945e35125c125d02463f9e1ad110a82
SHA512: f55d3a1925f09dbbe214e0d1e36edda64ee5ce01258fc7a85f80fa3a7b0492a27edf589ea01bb21c769d11dc47fa0d0c707796775986071d68335afe3b1ce3bf
Homepage: https://cran.r-project.org/package=CRANsearcher
Description: CRAN Package 'CRANsearcher' (RStudio Addin for Searching Packages in CRAN Database Based onKeywords)
 One of the strengths of R is its vast package ecosystem. Indeed, R packages
 extend from visualization to Bayesian inference and from spatial analyses to
 pharmacokinetics (<https://cran.r-project.org/web/views/>). There is
 probably not an area of quantitative research that isn't represented by at
 least one R package. At the time of this writing, there are more than 10,000
 active CRAN packages. Because of this massive ecosystem, it is important to
 have tools to search and learn about packages related to your personal R
 needs. For this reason, we developed an RStudio addin capable of searching
 available CRAN packages directly within RStudio.

Package: r-cran-crassmat
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-svmisc
Suggests: r-cran-nmf, r-cran-recommenderlab
Filename: pool/dists/focal/main/r-cran-crassmat_0.0.6-1.ca2004.1_all.deb
Size: 100548
MD5sum: e2b5dc0d6026670567aa5ebaa81311cb
SHA1: bae92f7aa52c1278887742550d38ba8fb4d4cfd3
SHA256: 04ea89cb3dfa12ec184134bfd080cf49b92ee3730699209e4a653acaf1a2fb8c
SHA512: 3571c2791ebe43bb9db8112798e5a47b93d08ae79abfb25969052dc0e0fb082d4f218ec58dfe2bea934d54c27f6fa7dd064533333f5457db9c2a2b034cba6bfc
Homepage: https://cran.r-project.org/package=crassmat
Description: CRAN Package 'crassmat' (Conditional Random Sampling Sparse Matrices)
 Conducts conditional random sampling on observed values in sparse matrices.
 Useful for training and test set splitting sparse matrices prior to model
 fitting in cross-validation procedures and estimating the predictive
 accuracy of data imputation methods, such as matrix factorization or
 singular value decomposition (SVD). Although designed for applications with
 sparse matrices, CRASSMAT can also be applied to complete matrices, as well
 as to those containing missing values.

Package: r-cran-crayon
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mockery, r-cran-rstudioapi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-crayon_1.5.3-1.ca2004.1_all.deb
Size: 159860
MD5sum: 7c9be269ef5a633513ed133cf66e3435
SHA1: 569b7d8be522e8375a1d5fb56c787e9797620be4
SHA256: bc3a70df8ae6306baea5573999384f1cc122828637c6000f224876e805157202
SHA512: e51d83c9fbc45d389dc06140aff8e3b5ddb937998a2ed132e4672958a07a91e70690fb7984b4a001c8419344dc8416b4b088f244e6580b74310f80498377600d
Homepage: https://cran.r-project.org/package=crayon
Description: CRAN Package 'crayon' (Colored Terminal Output)
 The crayon package is now superseded. Please use the 'cli' package for new
 projects.  Colored terminal output on terminals that support 'ANSI' color
 and highlight codes. It also works in 'Emacs' 'ESS'. 'ANSI' color support is
 automatically detected. Colors and highlighting can be combined and nested.
 New styles can also be created easily.  This package was inspired by the
 'chalk' 'JavaScript' project.

Package: r-cran-crayons
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3007
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-palette
Filename: pool/dists/focal/main/r-cran-crayons_0.0.3-1.ca2004.1_all.deb
Size: 2523496
MD5sum: 9cd219e31915ff48c2fa4de171e4d751
SHA1: 43a9d96c29dc643cb3dfbcac1be5bf10f94d2572
SHA256: b715320bbfb2edcd167df06e1e6aa613c057fa347fda4c38995edcdd4e3f18c2
SHA512: a1cf3cac6e5aa33e6f73eafc71e760c0acbe8babed6d5ac6e3e69f00d894de44c2c24a77453bfc9eb867594fb5dbd086fabf7d7a7a35f39190794fdd9bfababa
Homepage: https://cran.r-project.org/package=crayons
Description: CRAN Package 'crayons' (Color Palettes from Crayon Boxes)
 Provides color palettes based on crayon colors since the early 1900s.
 Colors are based on various crayon colors, sets, and promotional palettes,
 most of which can be found at
 <https://en.wikipedia.org/wiki/List_of_Crayola_crayon_colors>. All palettes
 are discrete palettes and are not necessarily color-blind friendly.
 Provides scales for 'ggplot2' for discrete coloring.

Package: r-cran-cre
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-logger, r-cran-gbm, r-cran-randomforest, r-cran-xgboost, r-cran-rrf, r-cran-data.table, r-cran-xtable, r-cran-glmnet, r-cran-bartcause, r-cran-stabs, r-cran-stringr, r-cran-superlearner, r-cran-magrittr, r-cran-ggplot2, r-cran-arules
Suggests: r-cran-grf, r-cran-bart, r-cran-gnm, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cre_0.2.7-1.ca2004.1_all.deb
Size: 205120
MD5sum: f274fedfeb30c2e30d602291023ef6e7
SHA1: a30834a6cbe8d4ee33403a428e03fdf5323aaeeb
SHA256: 1a6c11ebc63236d41bb77cdc67ebc473dac4f988e7732862a78cc5ec26912400
SHA512: b6863fc50a2786c474bcff2801a70b5f1fe83019ede61e35560755912590a1f0beee77255ab8c7d6c69626722247a93403d8e53fd14124d71eb79a4749a7f055
Homepage: https://cran.r-project.org/package=CRE
Description: CRAN Package 'CRE' (Interpretable Discovery and Inference of Heterogeneous TreatmentEffects)
 Provides a new method for interpretable heterogeneous treatment effects
 characterization in terms of decision rules via an extensive exploration of
 heterogeneity patterns by an ensemble-of-trees approach, enforcing high
 stability in the discovery. It relies on a two-stage pseudo-outcome
 regression, and it is supported by theoretical convergence guarantees.
 Bargagli-Stoffi, F. J., Cadei, R., Lee, K., & Dominici, F. (2023) Causal
 rule ensemble: Interpretable Discovery and Inference of Heterogeneous
 Treatment Effects.  arXiv preprint <doi:10.48550/arXiv.2009.09036>.

Package: r-cran-cream
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cream_1.1.1-1.ca2004.1_all.deb
Size: 36588
MD5sum: 642dd397ebf14d088de8024cda0e473e
SHA1: 8c50bd564280cfe6a32e95602baa2965fad4ea13
SHA256: 93949b495cf2233585a017973504a974e12685e18556cacd04effba5899f9996
SHA512: f98e10ef9e7b3434fee1d8b95d5f41bc29dff99ef2d45ab9e0437d15bd5e8a8b322698eff990890772479c18a3df1d49cde2a663276c400dba48b7795bc55dcf
Homepage: https://cran.r-project.org/package=CREAM
Description: CRAN Package 'CREAM' (Clustering of Genomic Regions Analysis Method)
 Provides a new method for identification of clusters of genomic regions
 within chromosomes. Primarily, it is used for calling clusters of
 cis-regulatory elements (COREs). 'CREAM' uses genome-wide maps of genomic
 regions in the tissue or cell type of interest, such as those generated from
 chromatin-based assays including DNaseI, ATAC or ChIP-Seq. 'CREAM' considers
 proximity of the elements within chromosomes of a given sample to identify
 COREs in the following steps: 1) It identifies window size or the maximum
 allowed distance between the elements within each CORE, 2) It identifies
 number of elements which should be clustered as a CORE, 3) It calls COREs,
 4) It filters the COREs with lowest order which does not pass the threshold
 considered in the approach.

Package: r-cran-createlogicalpcm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-createlogicalpcm_0.1.0-1.ca2004.1_all.deb
Size: 18100
MD5sum: fc61d1ebba54e7d0b93c2f49c2165b68
SHA1: d381a293af3c5b4a00c760b2da73c75d3548135e
SHA256: 2e1dadc0041a4691fe3cc817c91bb2cc48cd7289701723c67858d811ed4d5945
SHA512: 5e45c9eeb07de57b49c37af96201e4cb557831a4fe46eacbe39e867c8256fd82ab385213f17cfe595d7cbdafdbb0aa069719c280c5cbdd5ec506dfeee6c2cdba
Homepage: https://cran.r-project.org/package=createLogicalPCM
Description: CRAN Package 'createLogicalPCM' (Create Logical Pairwise Comparison Matrix for the AnalyticHierarchy Process)
 Create Pairwise Comparison Matrices for use in the Analytic Hierarchy
 Process. The Pairwise Comparison Matrix created will be a logical matrix,
 which unlike a random comparison matrix, is similar to what a rational
 decision maker would create on the basis of a preference vector for the
 alternatives considered.

Package: r-cran-credentials
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openssl, r-cran-sys, r-cran-curl, r-cran-jsonlite, r-cran-askpass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-credentials_2.0.2-1.ca2004.1_all.deb
Size: 216172
MD5sum: e74985fe1ea5e33bc96ccdf39b51fd54
SHA1: db8d6e3f92b7eb637161425d4ac251d1c7fbb6a1
SHA256: 26f22d9241519c7650961970ef676e6b2ae85038c817b6d884edf0a0f50e89b9
SHA512: 578c7e7c96e6185f5dd803b9c1eac6400dfa008f3fbbb4108f1e68af8b2557599650612755ba7e5334d9a4e1c04ea0ae03a3419fdea71fd40b4caba4d7171973
Homepage: https://cran.r-project.org/package=credentials
Description: CRAN Package 'credentials' (Tools for Managing SSH and Git Credentials)
 Setup and retrieve HTTPS and SSH credentials for use with 'git' and other
 services. For HTTPS remotes the package interfaces the 'git-credential'
 utility which 'git' uses to store HTTP usernames and passwords. For SSH
 remotes we provide convenient functions to find or generate appropriate SSH
 keys. The package both helps the user to setup a local git installation, and
 also provides a back-end for git/ssh client libraries to authenticate with
 existing user credentials.

Package: r-cran-creditas
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rvest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-creditas_0.2.0-1.ca2004.1_all.deb
Size: 27900
MD5sum: 76a9a9b5b41096a7247b9cc1d23ab221
SHA1: 9848ce7038a20deeab57fbe4cabc9a484c2eecb7
SHA256: b72539f90bede5ee0d17a16d16b26a6a401e06d3553d015a235650381d74d36e
SHA512: bed0b61a4c8eeade503422e4e3467554ad4d18ba4a65c352ce1c9908ccd9f2a45249239a517aea60538609fa9da8f9ec99ab9666b2f76c2db2c111cae4946f55
Homepage: https://cran.r-project.org/package=CRediTas
Description: CRAN Package 'CRediTas' (Generate CRediT Author Statements)
 A tiny package to generate CRediT author statements
 (<https://credit.niso.org/>).  It provides three functions: create a
 template, read it back and generate the CRediT author statement in a text
 file.

Package: r-cran-creditmodel
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel, r-cran-glmnet, r-cran-rpart, r-cran-cli, r-cran-xgboost
Suggests: r-cran-pdp, r-cran-pmml, r-cran-xml, r-cran-knitr, r-cran-gbm, r-cran-randomforest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-creditmodel_1.3.1-1.ca2004.1_all.deb
Size: 4212644
MD5sum: 4164b59eacecf03fb0421084733eb2ef
SHA1: b06802ef87031f0bc517a80c17208686725ce77f
SHA256: a2438fe3e6f00e277a1c97d3105c99bb1722d08243dad27aa65340b26b06c343
SHA512: 3870c716f5c0cc305b57a0e89be71ae1ed7d5e76192b346e1c5a893751ecc57150bb4f15ba689c9705f40f12ec5364f5675dcffcc850c894e47aeb1c8c695507
Homepage: https://cran.r-project.org/package=creditmodel
Description: CRAN Package 'creditmodel' (Toolkit for Credit Modeling, Analysis and Visualization)
 Provides a highly efficient R tool suite for Credit Modeling, Analysis and
 Visualization.Contains infrastructure functionalities such as data
 exploration and preparation, missing values treatment, outliers treatment,
 variable derivation, variable selection, dimensionality reduction, grid
 search for hyper parameters, data mining and visualization, model
 evaluation, strategy analysis etc. This package is designed to make the
 development of binary classification models (machine learning based models
 as well as credit scorecard) simpler and faster. The references including: 1
 Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development
 and Implementation Using SAS; 2 Bezdek, James C.FCM: The fuzzy c-means
 clustering algorithm. Computers & Geosciences
 (0098-3004),<DOI:10.1016/0098-3004(84)90020-7>.

Package: r-cran-creditrisk
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-creditrisk_0.1.7-1.ca2004.1_all.deb
Size: 81632
MD5sum: b5e9647f56941fa11cf3ba7bd180dff1
SHA1: 1bbed5320c3d51146ce7324e2afac0a17c94be01
SHA256: eaa4d0b77cf66a6963386a65c67b7f3c63347e83cfb92a4001f0b933e6764206
SHA512: fb92aebf10c81f4005e8776d30e39ce4da91053a14df4ecf0a5bb1fe96a05ff5bf32f17b3917358610744fbbbd6e3102be9b9a31287293435af5f81c7ae3e272
Homepage: https://cran.r-project.org/package=CreditRisk
Description: CRAN Package 'CreditRisk' (Evaluation of Credit Risk with Structural and Reduced FormModels)
 Evaluation of default probability of sovereign and corporate entities based
 on structural or intensity based models and calibration on market Credit
 Default Swap quotes. References: Damiano Brigo, Massimo Morini, Andrea
 Pallavicini (2013) <doi:10.1002/9781118818589>. Print ISBN: 9780470748466,
 Online ISBN: 9781118818589. © 2013 John Wiley & Sons Ltd.

Package: r-cran-creds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-creds_0.1.0-1.ca2004.1_all.deb
Size: 20828
MD5sum: f7774eedd32bca9ea5b77dbc1ff48e36
SHA1: d6beb8069206ae8d769a125610edede41cd8a0d8
SHA256: 580af8812972cd481a1dcf29b7de0ab5f03b38b2d15caa7864ff25559608113a
SHA512: 79f9c620ae26ef0b4d4a3ff63e442ab9571a9e431dce8aaa0aaa81b2e8093b4ace098899b67a64bca165c123376dfc2bdca61ae008fda5318e12a855849ba7eb
Homepage: https://cran.r-project.org/package=CREDS
Description: CRAN Package 'CREDS' (Calibrated Ratio Estimator under Double Sampling Design)
 Population ratio estimator (calibrated) under two-phase random sampling
 design has gained enormous popularity in the recent time. This package
 provides functions for estimation population ratio (calibrated) under two
 phase sampling design, including the approximate variance of the ratio
 estimator. The improved ratio estimator can be applicable for both the case,
 when auxiliary data is available at unit level or aggregate level (eg., mean
 or total) for first phase sampled. Calibration weight of each unit of the
 second phase sample was calculated. Single and combined inclusion
 probabilities were also estimated for both phases under two phase random
 [simple random sampling without replacement (SRSWOR)] sampling. The improved
 ratio estimator's percentage coefficient of variation was also determined as
 a measure of accuracy. This package has been developed based on the
 theoretical development of Islam et al. (2021) and Ozgul (2020)
 <doi:10.1080/00949655.2020.1844702>.

Package: r-cran-credsubs
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ff, r-cran-r.rsp, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-credsubs_1.1.1-1.ca2004.1_all.deb
Size: 875328
MD5sum: d6e8a35961cc1cb01a54c7e20960643d
SHA1: 2261c3520f239a8c8e62a25773e2af0270a06a37
SHA256: b399d1a222d8eef80f8ae3673a6b754f682e7f42604166e856786d5e330cb798
SHA512: 40e595fcec793304745b6ffc05ed8342f8f03d89f20fb2df074be62388a854d364cce0843c68a4cc1b7ab85d62268b7864f1156f97b4e1c9fbbf182426bec141
Homepage: https://cran.r-project.org/package=credsubs
Description: CRAN Package 'credsubs' (Credible Subsets)
 Functions for constructing simultaneous credible bands and identifying
 subsets via the "credible subsets" (also called "credible subgroups")
 method. Package documentation includes the vignette included in this
 package, and the paper by Schnell, Fiecas, and Carlin (2020,
 <doi:10.18637/jss.v094.i07>).

Package: r-cran-creepyalien
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beepr, r-cran-cli, r-cran-glue
Filename: pool/dists/focal/main/r-cran-creepyalien_1.0.0-1.ca2004.1_all.deb
Size: 84480
MD5sum: 6037bd388b0c7aca100884a959f57781
SHA1: 00a25edf6afea25fd200839be25a29e2ceed0809
SHA256: dd8b5d199522ffcdda3f1232bb811fd6cc7013bbd919aad7f199e52fe25db3ec
SHA512: db06c6b5d2fc29b04b44c315da4054af215f7c3392d5ea4307d73da9e8a5caddd685db6f0a832afc2a5e6ad96043309e53cc05bc257978a10419a305d15b1615
Homepage: https://cran.r-project.org/package=creepyalien
Description: CRAN Package 'creepyalien' (Puzzle Game for the R Console)
 Puzzle game that can be played in the R console.  Help the alien to find the
 ship.

Package: r-cran-cregg
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2049
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-survey, r-cran-lmtest, r-cran-ggstance, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cregg_0.4.0-1.ca2004.1_all.deb
Size: 1061740
MD5sum: c0982a647d4e4a66cf1390a57a16bf37
SHA1: bddccdfa9e1730b43d3fdfb0a570490bcae11a67
SHA256: 5831e51fdd0fdddb01e806c59feb7f09179cfdfd89727a057a84f23c636315e2
SHA512: 9ca9f352751d905ce5b490a227572529e3656ce6b516af544ebcddc3ad1b1c0f3f3a08685c8d1914f8042ac2a68dbf785b26ea0614332887623c172ca10c3d94
Homepage: https://cran.r-project.org/package=cregg
Description: CRAN Package 'cregg' (Simple Conjoint Tidying, Analysis, and Visualization)
 Simple tidying, analysis, and visualization of conjoint (factorial)
 experiments, including estimation and visualization of average marginal
 component effects ('AMCEs') and marginal means ('MMs') for weighted and
 un-weighted survey data, along with useful reference category diagnostics
 and statistical tests. Estimation of 'AMCEs' is based upon methods described
 by Hainmueller, Hopkins, and Yamamoto (2014) <doi:10.1093/pan/mpt024>.

Package: r-cran-cregulome
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4475
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-httr, r-cran-rsqlite, r-cran-upsetr, r-cran-venndiagram, r-cran-ggplot2, r-cran-ggridges, r-cran-r.utils, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-readxl, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-bioc-clusterprofiler
Filename: pool/dists/focal/main/r-cran-cregulome_0.3.2-1.ca2004.1_all.deb
Size: 1853648
MD5sum: cb372ea789f195d5188e19a040545e54
SHA1: c5688cbbf7220e9d797f406781934cbe3eac3205
SHA256: c693429f15ce185292ad99e8fd4af4c091f354f190af5c28fdf6c890f05f8a14
SHA512: 9e1cd23fd15fbb184805247cb4c406136f80b1aa9ad1c7ab5f6d63e5f5f1af6e974bd205cdb43f94c93357248f332c5c77da2b642664f9f21c83b7e4c8ccdf42
Homepage: https://cran.r-project.org/package=cRegulome
Description: CRAN Package 'cRegulome' (Obtain and Visualize Regulome-Gene Expression Correlations inCancer)
 Builds a 'SQLite' database file of pre-calculated transcription
 factor/microRNA-gene correlations (co-expression) in cancer from the
 Cistrome Cancer Liu et al. (2011) <doi:10.1186/gb-2011-12-8-r83> and
 'miRCancerdb' databases (in press). Provides custom classes and functions to
 query, tidy and plot the correlation data.

Package: r-cran-crestr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4031
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clipr, r-cran-dbi, r-cran-openxlsx, r-cran-plot3d, r-cran-plyr, r-cran-raster, r-cran-rgdal, r-cran-rgeos, r-cran-rpostgres, r-cran-rsqlite, r-cran-scales, r-cran-sp, r-cran-stringr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pals
Filename: pool/dists/focal/main/r-cran-crestr_1.2.1-1.ca2004.1_all.deb
Size: 3660492
MD5sum: fe3346a89c1098a5faf7bb05fc761b32
SHA1: 51793fde4d21c00b16142eecaa02e713ecfd235c
SHA256: a9b9df64cf787b397af45ae82e03b71b1ce9cfd433b44076d4a3794a0a4f1bda
SHA512: c2d389bbe115733eb2fcad22b0ac5776a177cc9c14ea107aff63e5601c0e2b87ba8301c0ab6d8cbe6716660fb67eb5f0f27826ba240e71ac5a59b4d10f4737b9
Homepage: https://cran.r-project.org/package=crestr
Description: CRAN Package 'crestr' (A Probabilistic Approach to Reconstruct Past Climates UsingPalaeoecological Datasets)
 Applies the CREST climate reconstruction method. It can be used using the
 calibration data that can be obtained through the package or by importing
 private data. An ensemble of graphical outputs were designed to facilitate
 the use of the package and the interpretation of the results. More
 information can be obtained from Chevalier (2022)
 <doi:10.5194/cp-18-821-2022>.

Package: r-cran-crew.aws.batch
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-crew, r-cran-paws.common, r-cran-paws.compute, r-cran-paws.management, r-cran-r6, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crew.aws.batch_0.0.11-1.ca2004.1_all.deb
Size: 556192
MD5sum: a62d3b2ec6a6a20fe834c8099c093943
SHA1: 1330f30e805e0c7556ec692df788053d58751891
SHA256: 3014d9c5d2a419c04676b6b780ba83e66b62cd733ff3dd54d1f8156c1b3d9950
SHA512: 78c722cca807243af162114927112bc08e43d2c227a68de30e501524ac05c5bfa5441a06599d19ca991655f83ccaf7c2f5f53c626a593c5a3f53cdbea5e6cdfb
Homepage: https://cran.r-project.org/package=crew.aws.batch
Description: CRAN Package 'crew.aws.batch' (A Crew Launcher Plugin for AWS Batch)
 In computationally demanding analysis projects, statisticians and data
 scientists asynchronously deploy long-running tasks to distributed systems,
 ranging from traditional clusters to cloud services.  The 'crew.aws.batch'
 package extends the 'mirai'-powered 'crew' package with a worker launcher
 plugin for AWS Batch.  Inspiration also comes from packages 'mirai' by Gao
 (2023) <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021)
 <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023)
 <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019)
 <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and
 Surmann (2017).  <doi:10.21105/joss.00135>.

Package: r-cran-crew.cluster
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-crew, r-cran-ps, r-cran-lifecycle, r-cran-r6, r-cran-rlang, r-cran-vctrs, r-cran-xml2, r-cran-yaml
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crew.cluster_0.3.8-1.ca2004.1_all.deb
Size: 505820
MD5sum: cd94b07243c20bb5564f53ece14d9509
SHA1: ef1b6794ea3f80054547f6e7adb05a09cbc2a586
SHA256: 775c90c0b66e5fa85d7bd147d6c90bfd2e51f793bfa0e80fe76865c83b2b9f93
SHA512: 5681e2a8e2d9398df7af936f34c06cfafb5684e149cbb4ee52fa28470a11c846eedb46ec83efff116eeb005f0462b205e2b09274edc85fa02386772086acb327
Homepage: https://cran.r-project.org/package=crew.cluster
Description: CRAN Package 'crew.cluster' (Crew Launcher Plugins for Traditional High-Performance ComputingClusters)
 In computationally demanding analysis projects, statisticians and data
 scientists asynchronously deploy long-running tasks to distributed systems,
 ranging from traditional clusters to cloud services.  The 'crew.cluster'
 package extends the 'mirai'-powered 'crew' package with worker launcher
 plugins for traditional high-performance computing systems.  Inspiration
 also comes from packages 'mirai' by Gao (2023)
 <https://github.com/r-lib/mirai>, 'future' by Bengtsson (2021)
 <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton (2023)
 <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019)
 <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischl, and
 Surmann (2017).  <doi:10.21105/joss.00135>.

Package: r-cran-crew
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1544
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-later, r-cran-mirai, r-cran-nanonext, r-cran-processx, r-cran-promises, r-cran-ps, r-cran-r6, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-autometric, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crew_1.2.1-1.ca2004.1_all.deb
Size: 1087032
MD5sum: d43ca37882a17423a94dd409f490e231
SHA1: d1c0393f75b954a25a126704cd2f23f62ab733f7
SHA256: 5bd657f8488017c50498d5ccbe6eb0eb3f133d1114143cf4339677468e6f4676
SHA512: 28a4a9c3f84aad662cca53e9781aaae7f9a9a8c2f9b1f9517ef771b76dc8992a5937d515e5eb93799851eade3c245d47969fd4ed138676280a5e3e24c1455e72
Homepage: https://cran.r-project.org/package=crew
Description: CRAN Package 'crew' (A Distributed Worker Launcher Framework)
 In computationally demanding analysis projects, statisticians and data
 scientists asynchronously deploy long-running tasks to distributed systems,
 ranging from traditional clusters to cloud services.  The 'NNG'-powered
 'mirai' R package by Gao (2023) <doi:10.5281/zenodo.7912722> is a sleek and
 sophisticated scheduler that efficiently processes these intense workloads.
 The 'crew' package extends 'mirai' with a unifying interface for third-party
 worker launchers.  Inspiration also comes from packages.  'future' by
 Bengtsson (2021) <doi:10.32614/RJ-2021-048>, 'rrq' by FitzJohn and Ashton
 (2023) <https://github.com/mrc-ide/rrq>, 'clustermq' by Schubert (2019)
 <doi:10.1093/bioinformatics/btz284>), and 'batchtools' by Lang, Bischel, and
 Surmann (2017) <doi:10.21105/joss.00135>.

Package: r-cran-cricketdata
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5424
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-jsonlite, r-cran-lubridate, r-cran-readr, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-codetools, r-cran-gghighlight, r-cran-ggplot2, r-cran-ggtext, r-cran-glue, r-cran-here, r-cran-knitr, r-cran-paletteer, r-cran-patchwork, r-cran-rmarkdown, r-cran-r.rsp, r-cran-showtext
Filename: pool/dists/focal/main/r-cran-cricketdata_0.3.0-1.ca2004.1_all.deb
Size: 4547268
MD5sum: c46b0eba8732608cb6c2d529b6e90893
SHA1: d393204e2518b592b43705a0c07f5d14a1ff8328
SHA256: 06d55affb64610551ea8a15668e72d6e127d5c6c9a1a13038c51cf579ce4daa7
SHA512: 8d568f66e50b56ebf27fc37f98eca16ac4d5de2360ada12cfa11167509a83a7142f575586a1617adb76769100f39cbf23db512f1fae69e9cbbd23325ff65bb9f
Homepage: https://cran.r-project.org/package=cricketdata
Description: CRAN Package 'cricketdata' (International Cricket Data)
 Data on international and other major cricket matches from ESPNCricinfo
 <https://www.espncricinfo.com> and Cricsheet <https://cricsheet.org>.  This
 package provides some functions to download the data into tibbles ready for
 analysis.

Package: r-cran-cricketr
Architecture: all
Version: 0.0.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plotrix, r-cran-ggplot2, r-cran-scatterplot3d, r-cran-forecast, r-cran-lubridate, r-cran-xml, r-cran-httr
Filename: pool/dists/focal/main/r-cran-cricketr_0.0.26-1.ca2004.1_all.deb
Size: 372836
MD5sum: 02948f8bb066a157103f9e864ea941fd
SHA1: 90b1f6ff4e3c216d50c637d139153b815da91f93
SHA256: 6cc427f6f82844a7b003f905f1f5f5a3da69e880bb9dd5f55d7a002eca39bb1f
SHA512: b3e7071057f2952a5446cc385b5d5d09ae5dfd0f2c669650e62da8dba184d39d0d01ca8f3febd5316c390b0c1d748ac809d3484f2ac4668964e737dbd4a2be9f
Homepage: https://cran.r-project.org/package=cricketr
Description: CRAN Package 'cricketr' (Analyze Cricketers and Cricket Teams Based on ESPN CricinfoStatsguru)
 Tools for analyzing performances of cricketers based on stats in ESPN
 Cricinfo Statsguru. The toolset can be used for analysis of Tests,ODIs and
 Twenty20 matches of both batsmen and bowlers. The package can also be used
 to analyze team performances.

Package: r-cran-crimedata
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1204
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-osfr, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crimedata_0.3.5-1.ca2004.1_all.deb
Size: 1151248
MD5sum: 860b4f7de7e260061ce3944b3e010e65
SHA1: 30fbaa151baa76e65edad7960b8e3748099a22ef
SHA256: a689051586614abfba6697584dcee8be97f173be741e0eb3ce64aa0346c8e2ad
SHA512: 5b660829eaccbd2b43c01c485595d830da0cdf6a2855a8b9fa08cf890061caa85300d1e54570a32102f4e337dc80c1645770a30e1228a0c7d205a20fbe994009
Homepage: https://cran.r-project.org/package=crimedata
Description: CRAN Package 'crimedata' (Access Crime Data from the Open Crime Database)
 Gives convenient access to publicly available police-recorded open crime
 data from large cities in the United States that are included in the Crime
 Open Database <https://osf.io/zyaqn/>.

Package: r-cran-crimedatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4202
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crimedatasets_0.1.0-1.ca2004.1_all.deb
Size: 2164072
MD5sum: 271d47764a8ee162c28e2cb0f868ebe5
SHA1: 9f54329f53b409d730cbe834fa8ed57bbcd77586
SHA256: 74d9fb70f1bbb3414d1d16f251343b1928e08a1e8e7218cbae5459f5714ddbcd
SHA512: 78b8962a6bd4c0ca3685b90e98cf7aba38db18c9f6056547f64f76bf1353d125076eaa84b3f5240e53f254a86eef8465032e804adc6a46bd9696bc06f90956d0
Homepage: https://cran.r-project.org/package=crimedatasets
Description: CRAN Package 'crimedatasets' (A Comprehensive Collection of Crime-Related Datasets)
 A comprehensive collection of datasets exclusively focused on crimes,
 criminal activities, and related topics.  This package serves as a valuable
 resource for researchers, analysts, and students interested in crime
 analysis, criminology, social and economic studies related to criminal
 behavior. Datasets span global and local contexts, with a mix of tabular and
 spatial data.

Package: r-cran-crimelinkage
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-geosphere
Suggests: r-cran-fields, r-cran-knitr, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-crimelinkage_0.0.4-1.ca2004.1_all.deb
Size: 293684
MD5sum: 3a26cc1beb101ecd9dc5caaa54cf236d
SHA1: ada50727e049890478d59dc6372f6f6f5396d315
SHA256: 6d28fa854754d0c1d912a074c9f7df6508826b7cdfd5a33c87ec5382797ac620
SHA512: ef5ebf9ed5f7a939dea1b6d94acfedda41ef9b71bd909d3e3279ef6cb085e13d41c276d096b8656dbd2f88813ee6f4f4d4d524e431697c408d79246d3afbc308
Homepage: https://cran.r-project.org/package=crimelinkage
Description: CRAN Package 'crimelinkage' (Statistical Methods for Crime Series Linkage)
 Statistical Methods for Crime Series Linkage. This package provides code for
 criminal case linkage, crime series identification, crime series clustering,
 and suspect identification.

Package: r-cran-crimeutils
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-ggplot2, r-cran-readr, r-cran-gridextra, r-cran-scales, r-cran-magrittr, r-cran-gt, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-spelling, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-crimeutils_0.5.1-1.ca2004.1_all.deb
Size: 99616
MD5sum: fbd7541a6e42d3b65887b62295e523b4
SHA1: 406a04415c6aa1e710b393a82cc4517ff05cb81c
SHA256: 939bb19d8dffa494bb7248ba84234c45c32395f6f6c1365ea64bc6c5b3004b75
SHA512: c21626871321bfafceb79e94461f2f9d1fb0448827240a7019f17fee9b27ad74fa7b43b19a7bf3dae487f78b717484cbfe44b3472f339d4d230b7ba2a1f76f2f
Homepage: https://cran.r-project.org/package=crimeutils
Description: CRAN Package 'crimeutils' (A Comprehensive Set of Functions to Clean, Analyze, and PresentCrime Data)
 A collection of functions that make it easier to understand crime (or other)
 data, and assist others in understanding it. The package helps you read data
 from various sources, clean it, fix column names, and graph the data.

Package: r-cran-crisp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-crisp_1.0.0-1.ca2004.1_all.deb
Size: 95204
MD5sum: 06813bff6bb65b16e37eecc93c164da4
SHA1: d75f33229b7e89c4311df37bd7f86b449b347e12
SHA256: b5a5ceaa3ae7e022adbdd211b7af2ab06722837e28cc0a161616994e6fa85d19
SHA512: 8c9fe7e3a325489ec2b577b87c9e9cd92a16f86f2e56e4d1d794412f5ab806326ec319dfafbe818bd5d4b8f3e01449a34be1f7d6a86dbbe9e7b0607b850af080
Homepage: https://cran.r-project.org/package=crisp
Description: CRAN Package 'crisp' (Fits a Model that Partitions the Covariate Space into Blocks ina Data- Adaptive Way)
 Implements convex regression with interpretable sharp partitions (CRISP),
 which considers the problem of predicting an outcome variable on the basis
 of two covariates, using an interpretable yet non-additive model. CRISP
 partitions the covariate space into blocks in a data-adaptive way, and fits
 a mean model within each block. Unlike other partitioning methods, CRISP is
 fit using a non-greedy approach by solving a convex optimization problem,
 resulting in low-variance fits. More details are provided in Petersen, A.,
 Simon, N., and Witten, D. (2016). Convex Regression with Interpretable Sharp
 Partitions. Journal of Machine Learning Research, 17(94): 1-31
 <http://jmlr.org/papers/volume17/15-344/15-344.pdf>.

Package: r-cran-crisprdesignr
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2733
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-biostrings, r-cran-gbm, r-bioc-genomicranges, r-bioc-biocgenerics, r-bioc-iranges, r-bioc-genomeinfodb, r-bioc-s4vectors, r-bioc-rtracklayer, r-cran-stringr, r-cran-vtreat, r-cran-shiny, r-cran-dt
Suggests: r-bioc-bsgenome.scerevisiae.ucsc.saccer3
Filename: pool/dists/focal/main/r-cran-crisprdesignr_1.1.7-1.ca2004.1_all.deb
Size: 2528900
MD5sum: 1a84dbabae0aca98cf56004fec0a98cd
SHA1: 1fd0602d0feff0a45960dfe0977322a2fe580cd0
SHA256: b7365880976c25d02e0d75cca9b534152a9d57890ec3d0c96fdf31db40d12907
SHA512: 9aaa0a1ac67a0abdc2d6042630b45e23b4e94f5f8e801bfd2428579a7d20de09b27734461b9ed89c16e95de81c70b15defa23621947d2c82b3a857b5a43a1ca0
Homepage: https://cran.r-project.org/package=crispRdesignR
Description: CRAN Package 'crispRdesignR' (Guide Sequence Design for CRISPR/Cas9)
 Designs guide sequences for CRISPR/Cas9 genome editing and provides
 information on sequence features pertinent to guide efficiency. Sequence
 features include annotated off-target predictions in a user-selected genome
 and a predicted efficiency score based on the model described in Doench et
 al. (2016) <doi:10.1038/nbt.3437>. Users are able to import additional
 genomes and genome annotation files to use when searching and annotating
 off-target hits. All guide sequences and off-target data can be generated
 through the 'R' console with sgRNA_Design() or through 'crispRdesignR's'
 user interface with crispRdesignRUI(). CRISPR (Clustered Regularly
 Interspaced Short Palindromic Repeats) and the associated protein Cas9 refer
 to a technique used in genome editing.

Package: r-cran-criticality
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 891
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-bnlearn, r-cran-dplyr, r-cran-evd, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-keras, r-cran-magrittr, r-cran-reticulate, r-cran-scales
Filename: pool/dists/focal/main/r-cran-criticality_0.9.3-1.ca2004.1_all.deb
Size: 385208
MD5sum: 5e0a5d541c62216ae2df0733b425b35c
SHA1: 5b893bb3eeec2e32d8bf2a138463491102d9d529
SHA256: d5569dc0dc3724967bde720b0af2239c70c8ed1da96cb2bcdc29e5ea733a037a
SHA512: b3379398a324d318df0eeac35e9e4fe013fcfa6d69664fcf5d0f4a03ebb78e269084768f85778c8eac55c7d725cf8ec8b85bde916faf6a5e3d715a6282942172
Homepage: https://cran.r-project.org/package=criticality
Description: CRAN Package 'criticality' (Modeling Fissile Material Operations in Nuclear Facilities)
 A collection of functions for modeling fissile material operations in
 nuclear facilities, based on Zywiec et al (2021)
 <doi:10.1016/j.ress.2020.107322>.

Package: r-cran-criticalpath
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-magrittr, r-cran-r6, r-cran-stringr, r-cran-tibble
Suggests: r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-criticalpath_0.2.1-1.ca2004.1_all.deb
Size: 275408
MD5sum: 6b709aafe9b382e94695ee6b8113d704
SHA1: fa085773befb196d3b4b121d18c1834fd1fddbf6
SHA256: 5f7ada43dd2f85c900976c46a2d6439fa2a3b852816fb14332d4811e7cde22bc
SHA512: 1d4fdc914b559e1e6b5bf2aa8cbe7b0ba57d07422572052f2fc517dc28cf3e6fffe33ef8529917b356e1cf3aca9e463db65da88624cf25cb04507c2784ce47c6
Homepage: https://cran.r-project.org/package=criticalpath
Description: CRAN Package 'criticalpath' (An Implementation of the Critical Path Method)
 An R implementation of the Critical Path Method (CPM).  CPM is a method used
 to estimate the minimum project duration and determine the amount of
 scheduling flexibility on the logical network paths within the schedule
 model. The flexibility is in terms of early start, early finish, late start,
 late finish, total float and free float. Beside, it permits to quantify the
 complexity of network diagram through the analysis of topological
 indicators. Finally, it permits to change the activities duration to perform
 what-if scenario analysis. The package was built based on following
 references: To make topological sorting and other graph operation, we use
 Csardi, G. & Nepusz, T. (2005)
 <https://www.researchgate.net/publication/221995787_The_Igraph_Software_Package_for_Complex_Network_Research>;
 For schedule concept, the reference was Project Management Institute (2017)
 <https://www.pmi.org/pmbok-guide-standards/foundational/pmbok>; For
 standards terms, we use Project Management Institute (2017)
 <https://www.pmi.org/pmbok-guide-standards/lexicon>; For algorithms on
 Critical Path Method development, we use Vanhoucke, M. (2013)
 <doi:10.1007/978-3-642-40438-2> and Vanhoucke, M. (2014)
 <doi:10.1007/978-3-319-04331-9>; And, finally, for topological definitions,
 we use Vanhoucke, M. (2009) <doi:10.1007/978-1-4419-1014-1>.

Package: r-cran-critpath
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6640
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-diagrammer, r-cran-ggplot2, r-cran-reshape2, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-critpath_0.2.3-1.ca2004.1_all.deb
Size: 597532
MD5sum: 1e46ac595c75eb5d1853f418a575774a
SHA1: 2bb1eb58858c06e1b50912011c53f3cc51a4a2ad
SHA256: 47ccfc223f99e9fedc6592b157448d8bc4d4d73afc4db827f76bedee0037606d
SHA512: d27d7ab4921d27c1f4554d00583f7b35073eaaf60424bcb8c520ba35305f08a8ab6f5f705e83ce643f33ea2714c79d3e941cc80436e75074e505536bfb3f8c51
Homepage: https://cran.r-project.org/package=critpath
Description: CRAN Package 'critpath' (Setting the Critical Path in Project Management)
 Solving the problem of project management using CPM (Critical Path Method),
 PERT (Program Evaluation and Review Technique) and LESS (Least Cost
 Estimating and Scheduling) methods. The package sets the critical path,
 schedule and Gantt chart. In addition, it allows to draw a graph even with
 marked critical activities. For more information about project management
 see: Taha H. A. "Operations Research. An Introduction" (2017,
 ISBN:978-1-292-16554-7), Rama Murthy P. "Operations Research" (2007,
 ISBN:978-81-224-2944-2), Yuval Cohen & Arik Sadeh (2006) "A New Approach for
 Constructing and Generating AOA Networks", Journal of Engineering, Computing
 and Architecture 1. 1-13, Konarzewska I., Jewczak M., Kucharski A. (2020,
 ISBN:978-83-8220-112-3), Miszczyńska D., Miszczyński M. "Wybrane metody
 badań operacyjnych" (2000, ISBN:83-907712-0-9).

Package: r-cran-crm12comb
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggforce
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crm12comb_0.1.11-1.ca2004.1_all.deb
Size: 462340
MD5sum: 0a6ecdb7a8a93852e833b0261e1a843f
SHA1: e36971e89f52e1174ff4c2e1e6061beb85150119
SHA256: debf6d96d979812a2995eb3238d1a9ba7cefd4145042370a58946ea280bf207e
SHA512: f8d7e0b611286cd25f44d2d842b13df9a573097f49ace59f159f0c9f7728e93bb2e6bd9f7fd0502c656cc4f9ad1588c97e0b36a0bb3df884901673b15dd5d9b1
Homepage: https://cran.r-project.org/package=crm12Comb
Description: CRAN Package 'crm12Comb' (Phase I/II CRM Based Drug Combination Design)
 Implements the adaptive designs for integrated phase I/II trials of drug
 combinations via continual reassessment method (CRM) to evaluate toxicity
 and efficacy simultaneously for each enrolled patient cohort based on
 Bayesian inference. It supports patients assignment guidance in a single
 trial using current enrolled data, as well as conducting extensive
 simulation studies to evaluate operating characteristics before the trial
 starts. It includes various link functions such as empiric, one-parameter
 logistic, two-parameter logistic, and hyperbolic tangent, as well as
 considering multiple prior distributions of the parameters like normal
 distribution, gamma distribution and exponential distribution to accommodate
 diverse clinical scenarios. Method using Bayesian framework with empiric
 link function is described in: Wages and Conaway (2014)
 <doi:10.1002/sim.6097>.

Package: r-cran-crmetrics
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 475
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggpubr, r-cran-ggrepel, r-cran-magrittr, r-cran-matrix, r-cran-r6, r-cran-scales, r-cran-sccore, r-bioc-sparsematrixstats, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-conos, r-cran-data.table, r-cran-markdown, r-cran-pagoda2, r-cran-reticulate, r-bioc-rhdf5, r-cran-seurat, r-cran-soupx, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crmetrics_0.3.2-1.ca2004.1_all.deb
Size: 420476
MD5sum: 187b644965dfcebfc3a7b8fdc87e0bb1
SHA1: af5b49794e30d325358d90373e6667da2d451bbb
SHA256: 484512627546fc228321c027eea7a38cb9ab2964968b8955f9e5ef7e309c1de0
SHA512: a52f7c421a76b57b6b70784b31ab64f604fbdca847bf2daa941616968524c749c80f5dd208f9034bddf0ba21ff4a023231005a8d07d5eb308b4395ee9bda57db
Homepage: https://cran.r-project.org/package=CRMetrics
Description: CRAN Package 'CRMetrics' (Cell Ranger Output Filtering and Metrics Visualization)
 Sample and cell filtering as well as visualisation of output metrics from
 'Cell Ranger' by Grace X.Y. Zheng et al. (2017) <doi:10.1038/ncomms14049>.
 'CRMetrics' allows for easy plotting of output metrics across multiple
 samples as well as comparative plots including statistical assessments of
 these. 'CRMetrics' allows for easy removal of ambient RNA using 'SoupX' by
 Matthew D Young and Sam Behjati (2020) <doi:10.1093/gigascience/giaa151> or
 'CellBender' by Stephen J Fleming et al. (2022) <doi:10.1101/791699>.
 Furthermore, it is possible to preprocess data using 'Pagoda2' by Nikolas
 Barkas et al. (2021) <https://github.com/kharchenkolab/pagoda2> or 'Seurat'
 by Yuhan Hao et al. (2021) <doi:10.1016/j.cell.2021.04.048> followed by
 embedding of cells using 'Conos' by Nikolas Barkas et al. (2019)
 <doi:10.1038/s41592-019-0466-z>. Finally, doublets can be detected using
 'scrublet' by Samuel L. Wolock et al. (2019)
 <doi:10.1016/j.cels.2018.11.005> or 'DoubletDetection' by Gayoso et al.
 (2020) <doi:10.5281/zenodo.2678041>. In the end, cells are filtered based on
 user input for use in downstream applications.

Package: r-cran-crmn
Architecture: all
Version: 0.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 534
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-pcamethods, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-crmn_0.0.21-1.ca2004.1_all.deb
Size: 430380
MD5sum: 31c5a054d7de1a69af7036c210f4b10a
SHA1: 97dc36dec06a4775b09142ad0cadd23017330207
SHA256: ae09475971bbc19a655f749e27b369bb87c14a73f39848fe39d472c3b4c5a34b
SHA512: 08b17e1b844df82369f158e4c47fea99f868cdcf3881b3fc2be0f3506473ea52eb2897ac7a1970dacb1ea54ed83b10de6baa0aa808063256c25bab7b2cff3860
Homepage: https://cran.r-project.org/package=crmn
Description: CRAN Package 'crmn' (CCMN and Other Normalization Methods for Metabolomics Data)
 Implements the Cross-contribution Compensating Multiple standard
 Normalization (CCMN) method described in Redestig et al. (2009) Analytical
 Chemistry <doi:10.1021/ac901143w> and other normalization algorithms.

Package: r-cran-crmpack
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-gensa, r-cran-mvtnorm, r-cran-rjags, r-cran-mass
Suggests: r-cran-ggmcmc, r-cran-knitr, r-cran-rcpp, r-cran-rcpparmadillo
Filename: pool/dists/focal/main/r-cran-crmpack_1.0.6-1.ca2004.1_all.deb
Size: 1667932
MD5sum: 1140a0002941c7fa55551169bcb29850
SHA1: 116b70671487d4af8c17123b765fa9525ec7ba74
SHA256: 01ec73118176a6581ab5a00b8abc2fb0c39cb1ff79950b127fec24e01990c280
SHA512: 3cd5adde7cb29cffac0cea738c55001ad9a593f4a585f5fbd26e0f1672c6f43384e7f527015d606b2698f31e3e5ba15f642993599d817c9b1c6d971f02bce7ba
Homepage: https://cran.r-project.org/package=crmPack
Description: CRAN Package 'crmPack' (Object-Oriented Implementation of CRM Designs)
 Implements a wide range of model-based dose escalation designs, ranging from
 classical and modern continual reassessment methods (CRMs) based on
 dose-limiting toxicity endpoints to dual-endpoint designs taking into
 account a biomarker/efficacy outcome. The focus is on Bayesian inference,
 making it very easy to setup a new design with its own JAGS code. However,
 it is also possible to implement 3+3 designs for comparison or models with
 non-Bayesian estimation. The whole package is written in a modular form in
 the S4 class system, making it very flexible for adaptation to new models,
 escalation or stopping rules.

Package: r-cran-crmreg
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fnn, r-cran-ggplot2, r-cran-gplots, r-cran-pcapp, r-cran-plyr, r-cran-robustbase, r-cran-rrcov
Filename: pool/dists/focal/main/r-cran-crmreg_1.0.4-1.ca2004.1_all.deb
Size: 91944
MD5sum: 7cb54df8755f0572eadfc45c573ddc5d
SHA1: 60057cdac2d60868ee7115d49c6b6a6a8bacbace
SHA256: 0f9ee1293e8f7cbaaef674408f24063a788893f01fd4789d8dc929ac4c221731
SHA512: df6a6123abb14a2a9a571df670b000ff39245bf51f1dca7eee5975ae4c7a23b3f9a49722188fbe48d9ab50bebfde7d5024decff9d1cd2a535266124783f87ec3
Homepage: https://cran.r-project.org/package=crmReg
Description: CRAN Package 'crmReg' (Cellwise Robust M-Regression and SPADIMO)
 Method for fitting a cellwise robust linear M-regression model (CRM,
 Filzmoser et al. (2020) <DOI:10.1016/j.csda.2020.106944>) that yields both a
 map of cellwise outliers consistent with the linear model, and a vector of
 regression coefficients that is robust against vertical outliers and
 leverage points. As a by-product, the method yields an imputed data set that
 contains estimates of what the values in cellwise outliers would need to
 amount to if they had fit the model. The package also provides diagnostic
 tools for analyzing casewise and cellwise outliers using sparse directions
 of maximal outlyingness (SPADIMO, Debruyne et al. (2019)
 <DOI:10.1007/s11222-018-9831-5>).

Package: r-cran-crn
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-crn_1.1-1.ca2004.1_all.deb
Size: 39840
MD5sum: 852312aa7960ad313bfd77c228b3341a
SHA1: f738133b0e18e16f4f497b2fa0c81349ea21a365
SHA256: 5ac479a63fd6c98617431bd8da2f60e607d72f53571255296dd73ac5d0c9a995
SHA512: f14d777ee729ff492c6238bda1bf52123f28f7ee73739fc8de43318b7cfb342a78bd8da07d1ca76da48b548837ec4702985fdda74358caa10186af44f03d32dc
Homepage: https://cran.r-project.org/package=crn
Description: CRAN Package 'crn' (Downloads and Builds datasets for Climate Reference Network)
 The crn package provides the core functions required to download and format
 data from the Climate Reference Network.  Both daily and hourly data are
 downloaded from the ftp, a consolidated file of all stations is created,
 station metadata is extracted. In addition functions for selecting
 individual variables and creating R friendly datasets for them is provided.

Package: r-cran-crochet
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crochet_2.3.0-1.ca2004.1_all.deb
Size: 52220
MD5sum: 8c412a2efd6afcb54578f4fb8908b619
SHA1: 17ae5eba465f6eaf54a0f7647b56c948ba0823e9
SHA256: 125b838f6e57d18ea95509a6abbb9ef0090b5c6eb5188ca686cc9be68cc6e0ab
SHA512: 3b10c3701220fa86ec91246f1ec3cce9fc9fec99783e7101ca037d60304087683f20eb5c499da0568d55e88be69e8c69a8a0092395efa782007f8ef0b5650c1a
Homepage: https://cran.r-project.org/package=crochet
Description: CRAN Package 'crochet' (Implementation Helper for '[' and '[<-' of Custom Matrix-LikeTypes)
 Functions to help implement the extraction / subsetting / indexing function
 '[' and replacement function '[<-' of custom matrix-like types (based on S3,
 S4, etc.), modeled as closely to the base matrix class as possible (with
 tests to prove it).

Package: r-cran-cromwelldashboard
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-stringr, r-cran-httr, r-cran-dplyr, r-cran-dt
Filename: pool/dists/focal/main/r-cran-cromwelldashboard_0.5.1-1.ca2004.1_all.deb
Size: 19060
MD5sum: fa3adfcfbd6238e4d931e2f448ade949
SHA1: ce0cd7a4c762f5fdae4ea88ec99ce31ee767d797
SHA256: 199dce7a350a6d2b064af80a37c813f53eff2e3059f12afe8b12f92e661545d8
SHA512: 60f175015e3f232bd7aa9184274493d8d0c35553864846c6f74320f912f6790293bd9a0ec66721edffd1aa12d79751f9e40f10712f9d5b543e62dae69b5dcbc7
Homepage: https://cran.r-project.org/package=cromwellDashboard
Description: CRAN Package 'cromwellDashboard' (A Dashboard to Visualize Scientific Workflows in 'Cromwell')
 A dashboard supports the usage of 'cromwell'.  'Cromwell' is a scientific
 workflow engine for command line users.  This package utilizes 'cromwell'
 REST APIs and provides these convenient functions: timing diagrams for
 running workflows, 'cromwell' engine status, a tabular workflow list. For
 more information about 'cromwell', visit <http://cromwell.readthedocs.io>.

Package: r-cran-cronbach
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-cronbach_0.2-1.ca2004.1_all.deb
Size: 23300
MD5sum: 2341fbd1b44bad7e24231295c261b902
SHA1: 4ac3c7572d798b444e4ef37b030d4932d5344671
SHA256: d1e9bd430f16b6e9ec940b018d75e9d87d9f19719b56b47ab90b1e89d9e88921
SHA512: bb962b28bfe1b2942050d99e1bbeb8c816ed7482523f69cc72722829adc15939775d45c2ef5821eeeff3f66e203067ec9d79030563358f6db8250043d60363f4
Homepage: https://cran.r-project.org/package=Cronbach
Description: CRAN Package 'Cronbach' (Cronbach's Alpha)
 Cronbach's alpha and various formulas for confidence intervals. The relevant
 paper is Tsagris M., Frangos C.C. and Frangos C.C. (2013). "Confidence
 intervals for Cronbach's reliability coefficient". Recent Techniques in
 Educational Science, 14-16 May, Athens, Greece.

Package: r-cran-crone
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1657
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-crone_0.1.1-1.ca2004.1_all.deb
Size: 1283200
MD5sum: d208a38c01f40931f1541d4a95a3fd47
SHA1: 5e727f385fa9ff43bcbc749a53bfe8be654cf725
SHA256: 62d21fe947c883c2f514b378dc37a1dbb5536b1fc9305701f030dd7610600406
SHA512: 2761847d639b4daffe0eb67b88cb1178850fd40b972f67beac2bd8c8eb72a11d9d361fcd6aab795797ce9ec57b34f6d057218d6eb0bcd55a5dea407ec0574d90
Homepage: https://cran.r-project.org/package=crone
Description: CRAN Package 'crone' (Structural Crystallography in 1d)
 Functions to carry out the most important crystallographic calculations for
 crystal structures made of 1d Gaussian-shaped atoms, especially useful for
 methods development.  Main reference: E. Smith, G. Evans, J. Foadi (2017)
 <doi:10.1088/1361-6404/aa8188>.

Package: r-cran-cronologia
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cronologia_0.2.0-1.ca2004.1_all.deb
Size: 25128
MD5sum: cf852804a6d97312bebfc034068348fc
SHA1: eb51979f9ea3ea2b85b1bf091bc0172c0679c696
SHA256: dd50a577bb3f2579664235bbd5616db24f6ba8b9df30e03c158f9cf32752506d
SHA512: a559b178bfb532c2df93201a5e2533167c69dc5dfcc0a0428f53f2fd9f386191e2f6a0fbb8e3e859a028cd350909eb42084bec445484cda8462eb8d7105c9b6b
Homepage: https://cran.r-project.org/package=cronologia
Description: CRAN Package 'cronologia' (Create an HTML Vertical Timeline from a Data Frame in'rmarkdown' and 'shiny')
 Creates an HTML vertical timeline from a data frame as an input for
 'rmarkdown' documents and 'shiny' applications.

Package: r-cran-cronr
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest
Suggests: r-cran-miniui, r-cran-shiny, r-cran-shinyfiles, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-cronr_0.6.5-1.ca2004.1_all.deb
Size: 77664
MD5sum: 9c9ff482f5ede06d4ac67177c0f427f6
SHA1: 57eea2ea3264ff9f8cc0af280d5c86d374eb735c
SHA256: 693309b60e667df04f00c841c37412672c6a6ac88d5d1b4372fdc591e43e034e
SHA512: 77433510909d8d3c0829d096ae7384af140854345d04b83fa0ca15adc241f23fb98503715ecabd65ef021f02d2231abc56e3d5d287b90333fade5a80067da6a4
Homepage: https://cran.r-project.org/package=cronR
Description: CRAN Package 'cronR' (Schedule R Scripts and Processes with the 'cron' Job Scheduler)
 Create, edit, and remove 'cron' jobs on your unix-alike system. The package
 provides a set of easy-to-use wrappers to 'crontab'. It also provides an
 RStudio add-in to easily launch and schedule your scripts.

Package: r-cran-crop
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crop_0.0-3-1.ca2004.1_all.deb
Size: 14088
MD5sum: 802de5e89b24c9a20e69b6b3b40f8dfe
SHA1: 96eb2bf4063fdf36c3890ba26d6f819aafab5e5d
SHA256: 869fadbd667a6f882ab6d3ec91b709d7eb892577e22633912af36dbad6280801
SHA512: 821a40d2b2f85e6006adc3900c138a504c1b37f271a546deffb41b2617eef4fa5a956a35f47e1c8220804d216f485632471c17d7f90374cd2218bd6bf6249ed0
Homepage: https://cran.r-project.org/package=crop
Description: CRAN Package 'crop' (Graphics Cropping Tool)
 A device closing function which is able to crop graphics (e.g., PDF, PNG
 files) on Unix-like operating systems with the required underlying
 command-line tools installed.

Package: r-cran-cropbreeding
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-metan, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-cropbreeding_0.1.0-1.ca2004.1_all.deb
Size: 29908
MD5sum: 4cefdeb8b994de72b43a118ece7adbd5
SHA1: c0f3795b041eaacc214cc35e17eeed0dcdff041b
SHA256: b49efacea9086e3e1380ad4eecd798eaca20d7c6dac8e3eb95c9c9cabd9e758d
SHA512: 0342b1aea104062e1df48f1b108eb9c1ef4aef7ee1362ec439ffd0555d1027c4b877527d00e533542bb07fae103bfc4f2a9fd1be539f6bf2fa2830d49a180cc9
Homepage: https://cran.r-project.org/package=CropBreeding
Description: CRAN Package 'CropBreeding' (Stability Analysis in Crop Breeding)
 Provides tools for crop breeding analysis including Genetic Coefficient of
 Variation (GCV), Phenotypic Coefficient of Variation (PCV), heritability,
 genetic advance calculations, stability analysis using the Eberhart-Russell
 model, two-way ANOVA for genotype-environment interactions, and Additive
 Main Effects and Multiplicative Interaction (AMMI) analysis. These tools are
 developed for crop breeding research and stability evaluation under various
 environmental conditions.  The methods are based on established statistical
 and biometrical principles.  Refer to Eberhart and Russell (1966)
 <doi:10.2135/cropsci1966.0011183X000600010011x> for stability parameters,
 Fisher (1935) "The Design of Experiments" <ISBN:9780198522294>, Falconer
 (1996) "Introduction to Quantitative Genetics" <ISBN:9780582243026>, and
 Singh and Chaudhary (1985) "Biometrical Methods in Quantitative Genetic
 Analysis" <ISBN:9788122433764> for foundational methodologies.

Package: r-cran-cropcircles
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-magick, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-cropcircles_0.2.4-1.ca2004.1_all.deb
Size: 62004
MD5sum: f65680a569bc61f3122fa08451384df9
SHA1: 955249d9568e4b5c36c229769229bf88b4417f69
SHA256: 62cb4839de5d1955a21052cabdaac629ce959ce509f23cffea7431292a792fa1
SHA512: ea779f79e44ff19fba1653a830206c5f39f0ed7c7d5742e4296d55863b46cbe67c3845f33450432ad626e0e2b430993c18c9a8ff8d5f437d1f8eae5db37390b1
Homepage: https://cran.r-project.org/package=cropcircles
Description: CRAN Package 'cropcircles' (Crops an Image to a Circle)
 Images are cropped to a circle with a transparent background. The function
 takes a vector of images, either local or from a link, and circle crops the
 image. Paths to the cropped image are returned for plotting with 'ggplot2'.
 Also includes cropping to a hexagon, heart, parallelogram, and square.

Package: r-cran-cropdatape
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cropdatape_1.0.0-1.ca2004.1_all.deb
Size: 193316
MD5sum: cbd3f5e55a19e644ea5fbdb02cb334fb
SHA1: 99b5ce9565ac7e4da934d8f4447224a99a94e52c
SHA256: 3d15fe48f6dc2f685d1e664d6b593a92b9dacc4ba07ca5186b5aa94c2b826d79
SHA512: 48a963201ea5d44959be559f7eff6f9df05813ba24ccecc74aa5d5cb1d63d4b3ef699b67c40ddd42b42e19e0e2182706638f5b75ccf8d27618067761e2551419
Homepage: https://cran.r-project.org/package=cropdatape
Description: CRAN Package 'cropdatape' (Open Data of Agricultural Production of Crops of Peru)
 Provides peruvian agricultural production data from the Agriculture Minestry
 of Peru (MINAGRI). The first version includes 6 crops: rice, quinoa, potato,
 sweet potato, tomato and wheat; all of them across 24 departments.
 Initially, in excel files which has been transformed and assembled using
 tidy data principles, i.e. each variable is in a column, each observation is
 a row and each value is in a cell.  The variables variables are sowing and
 harvest area per crop, yield, production and price per plot, every one year,
 from 2004 to 2014.

Package: r-cran-cropdemand
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4484
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-terra, r-cran-sf, r-cran-tidyr, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-cropdemand_1.0.3-1.ca2004.1_all.deb
Size: 3007440
MD5sum: 0a8f1186302b299ae349850492b23727
SHA1: 3e472fa317a1832e0b86db51ebf4551fb7e41d33
SHA256: a4fc0b0a5fa57f858da886dc5aec121b8918e1c1d281e92d1dba3808dbea8ab6
SHA512: 85a9563f83304431928afd1c5a3d82684f97a9a5bc9ffc365461b065ae0cba628a0d05f724dd760c0fb9b3ce5ee2977816b63a435c13a7a852ee6529b7283a2a
Homepage: https://cran.r-project.org/package=cropDemand
Description: CRAN Package 'cropDemand' (Spatial Crop Water Demand for Brazil)
 Estimation of crop water demand can be processed via this package. As
 example, the data from 'TerraClimate' dataset
 (<https://www.climatologylab.org/terraclimate.html>) calibrated with
 automatic weather stations of National Meteorological Institute of Brazil is
 available in a coarse spatial resolution to do the crop water demand.
 However, the user have also the option to download the variables directly
 from 'TerraClimate' repository with the download.terraclimate function and
 access the original 'TerraClimate' products. If the user believes that is
 necessary calibrate the variables, there is another function to do it.
 Lastly, the estimation of the crop water demand present in this package can
 be run for all the Brazilian territory with 'TerraClimate' dataset.

Package: r-cran-cropdetectr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-imager, r-cran-reshape2, r-bioc-ebimage
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cropdetectr_0.0.1-1.ca2004.1_all.deb
Size: 226204
MD5sum: 6faacf65c911876527b78c06b6e0c892
SHA1: 4bd37bf066ba5a98efa85b21b2af32ce01fe3bb4
SHA256: 20d20f64e109edf89109d14ea7704036117180a429a29262c7408033e6f0273a
SHA512: 0291d71eeac07910703a2cbd6efd95ee1c15df32139bcc276bd8225e7ee50addf8cf506490a81dee5117687a1bf6cc966dcf213156d9eeaa66727db7f322d159
Homepage: https://cran.r-project.org/package=CropDetectR
Description: CRAN Package 'CropDetectR' (Crop Row Detector)
 A helpful tool for the identification of crop rows. Methods of this package
 include: Excess Green color scale
 <https://www.researchgate.net/publication/270613992_Color_Indices_for_Weed_Identification_Under_Various_Soil_Residue_and_Lighting_Conditions>,
 Otsu Thresholding
 <https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=4310076>, and
 Morphology <https://en.wikipedia.org/wiki/Mathematical_morphology>.

Package: r-cran-cropgrowdays
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-purrrlyr, r-cran-httr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-furrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cropgrowdays_0.2.1-1.ca2004.1_all.deb
Size: 145224
MD5sum: 5e3a3c2d9472a5ab7e4b6ae9a7a96a93
SHA1: d35b5464c99785ed7813addaab41d24cb7730298
SHA256: 1a0fc8b0b81cc6ce0bb85e6cad76b0c9763c21b15cb7661a8c079ed104bfb185
SHA512: 4306d839db4d36c53d290e13c14fb25f933056ab6f9046fd111a6d4751e0149b5762a5e182341e2f77ec8f8c4127a5de9cf4d0e1c04302a38eb618f0732f35bf
Homepage: https://cran.r-project.org/package=cropgrowdays
Description: CRAN Package 'cropgrowdays' (Crop Growing Degree Days and Agrometeorological Calculations)
 Calculate agrometeorological variables for crops including growing degree
 days (McMaster, GS & Wilhelm, WW (1997)
 <doi:10.1016/S0168-1923(97)00027-0>), cumulative rainfall, number of stress
 days and cumulative or mean radiation and evaporation. Convert dates to day
 of year and vice versa. Also, download curated and interpolated Australian
 weather data from the Queensland Government DES longpaddock website
 <https://www.longpaddock.qld.gov.au/>. This data is freely available under
 the Creative Commons 4.0 licence.

Package: r-cran-crops
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sets, r-cran-reshape, r-cran-tidyverse, r-cran-memoise, r-cran-ggplot2, r-cran-magrittr, r-cran-cowplot, r-cran-tibble, r-cran-rdpack
Suggests: r-cran-fpop, r-cran-pacman
Filename: pool/dists/focal/main/r-cran-crops_1.0.3-1.ca2004.1_all.deb
Size: 51420
MD5sum: 69f9714612d49f209836f64dfafab7df
SHA1: 0c884ef1b949a57bdb47fba0be82f2963be70f20
SHA256: 4653d13dd7ae9d982ce1e3a72c4ae406681bf79d84e879e13bc033a67a84149a
SHA512: ede50fb60551bc6c8b3d30beca622663ba030131bda7d805e8bea505225b9ff4f8f87c40439fb653b51677fd3e378d646a8d79c3945e2b66ae488b2f740622a3
Homepage: https://cran.r-project.org/package=crops
Description: CRAN Package 'crops' (Changepoints for a Range of Penalties (CROPS))
 Implements the Changepoints for a Range of Penalties (CROPS) algorithm of
 Haynes et al. (2017) <doi:10.1080/10618600.2015.1116445> for finding all of
 the optimal segmentations for multiple penalty values over a continuous
 range.

Package: r-cran-cropscaper
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-raster, r-cran-sf, r-cran-data.table, r-cran-httr, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-cropscaper_1.1.5-1.ca2004.1_all.deb
Size: 93416
MD5sum: 61258592df22c301e44422a0baee6b3d
SHA1: 6d854d07e407a82e265cf4d25d58eca881dbe9d8
SHA256: 63b65c5afe0a1fdcfbb31fd03c64f70029c4fb116495c8445c1f69462718c9ca
SHA512: fe0e1de961d94899712907142d15ccac181cdb46b25409e21262f81f5165663a865eb4b4a881d26923b159ed0e23a474d1794e3188f96f8d931c1e6aab6de989
Homepage: https://cran.r-project.org/package=CropScapeR
Description: CRAN Package 'CropScapeR' (Access Cropland Data Layer Data via the 'CropScape' Web Service)
 Interface to easily access Cropland Data Layer (CDL) data for any area of
 interest via the 'CropScape' <https://nassgeodata.gmu.edu/CropScape/> web
 service.

Package: r-cran-cropwaterbalance
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-powersdi, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cropwaterbalance_0.2.0-1.ca2004.1_all.deb
Size: 87656
MD5sum: c50cb1d628d5f510219a909d1161d65a
SHA1: deabfb7e77a5f03dae7b787e0f9bd6cb5f203136
SHA256: 9f3db20ea236186d646dae15288762c977c08cce9160ee9ec3285bea712a75bf
SHA512: 48560831ab61040453f589fdd94b9fe82f995b412de68bd338f701e92e248153b07c33c4fb9674359b0498f52a65e7157c1132e234c44dc2dd1f9d86e93f3cbe
Homepage: https://cran.r-project.org/package=CropWaterBalance
Description: CRAN Package 'CropWaterBalance' (Climate Water Balance for Irrigation Purposes)
 Calculates daily climate water balance for irrigation purposes and also
 calculates the reference evapotranspiration (ET) using three methods, Penman
 and Monteith (Allen et al. 1998, ISBN:92-5-104219-5); Priestley and Taylor
 (1972) <doi:10/cr3qwn>; or Hargreaves and Samani (1985)
 <doi:10.13031/2013.26773>.  Users may specify a management allowed depletion
 (MAD), which is used to suggest when to irrigate.  The functionality allows
 for the use of crop and water stress coefficients as well.

Package: r-cran-cropzoning
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4413
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-tidyr, r-cran-sf, r-cran-ncdf4, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cropzoning_1.0.3-1.ca2004.1_all.deb
Size: 2946212
MD5sum: 301ef94387fe3264476030a3bf19d11f
SHA1: 56b82c27773bffeafbd4f3eeba1291c0e1dda268
SHA256: dfd923eb57e9b1ddd984ba29aa474e4c8c94ca789927aa79d03543bf79943e24
SHA512: ae51d3890c05affe73952dfc3d00fc1e6c6bbec28ccd94de1fb99ff76598ec219accb4984e3a5fea278ad230a459e02d8e32a9aa3dcdda568ed6904807ac21e1
Homepage: https://cran.r-project.org/package=cropZoning
Description: CRAN Package 'cropZoning' (Climate Crop Zoning Based in Air Temperature for Brazil)
 Climate crop zoning based in minimum and maximum air temperature. The data
 used in the package are from 'TerraClimate' dataset
 (<https://www.climatologylab.org/terraclimate.html>), but, it have been
 calibrated with automatic weather stations of National Meteorological
 Institute of Brazil.  The climate crop zoning of this package can be run for
 all the Brazilian territory.

Package: r-cran-crosscarry
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-gee, r-cran-ggplot2, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crosscarry_0.5.0-1.ca2004.1_all.deb
Size: 62484
MD5sum: be741f558840be44b9d4a171743db4d5
SHA1: a5254dd89edd59532a0e6c09915eb0fa07ea61dd
SHA256: 8daa151b426fddc571aff334fa4d5d471d681eeb6ac53bb42d071e7f40779b84
SHA512: a33992510a28de7103f68549ea7999e2fa6a81648d2b834f0f6d18053a2c19fb23f41ca7e60134a9220c84399f1596abcc4609d1d823253452ed077b2886818c
Homepage: https://cran.r-project.org/package=CrossCarry
Description: CRAN Package 'CrossCarry' (Analysis of Data from a Crossover Design with GEE)
 Analyze data from a crossover design using generalized estimation equations
 (GEE), including carryover effects and various correlation structures based
 on the Kronecker product. It contains functions for semiparametric estimates
 of carry-over effects in repeated measures and allows estimation of complex
 carry-over effects. Related work includes: a) Cruz N.A., Melo O.O., Martinez
 C.A. (2023). "CrossCarry: An R package for the analysis of data from a
 crossover design with GEE". <doi:10.48550/arXiv.2304.02440>. b) Cruz N.A.,
 Melo O.O., Martinez C.A. (2023). "A correlation structure for the analysis
 of Gaussian and non-Gaussian responses in crossover experimental designs
 with repeated measures". <doi:10.1007/s00362-022-01391-z> and c) Cruz N.A.,
 Melo O.O., Martinez C.A. (2023). "Semiparametric generalized estimating
 equations for repeated measurements in cross-over designs".
 <doi:10.1177/09622802231158736>.

Package: r-cran-crossclustering
Architecture: all
Version: 4.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-cluster, r-cran-crayon, r-cran-dplyr, r-cran-flip, r-cran-mclust, r-cran-purrr
Suggests: r-cran-covr, r-cran-devtools, r-cran-lintr, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-crossclustering_4.1.2-1.ca2004.1_all.deb
Size: 77544
MD5sum: be2412bff803dc9dfdae4c4956b8c84d
SHA1: 3083752520a0cb53483b29283975df6aefae757e
SHA256: 25eab54af6f93887af9df10f1e8116b66be985c1f1473d05aec8213f5944360c
SHA512: aab8f69412e758dc5e03a33d86acf806afaae0751843637a3fdb1fa09c6864a8d3a33b4b3ee4865c99b574d0f9335f169671ae5d3a995ba8dfa7e61853b14df2
Homepage: https://cran.r-project.org/package=CrossClustering
Description: CRAN Package 'CrossClustering' (A Partial Clustering Algorithm)
 Provide the 'CrossClustering' algorithm (Tellaroli et al.  (2016)
 <doi:10.1371/journal.pone.0152333>), which is a partial clustering algorithm
 that combines the Ward's minimum variance and Complete Linkage algorithms,
 providing automatic estimation of a suitable number of clusters and
 identification of outlier elements.

Package: r-cran-crossdes
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-algdesign, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-crossdes_1.1-2-1.ca2004.1_all.deb
Size: 84128
MD5sum: 8b2a98c3ad3de4b49fb848a35df7f073
SHA1: ffc6ade798bce0ae49110b86995c1a6c3c56df53
SHA256: c8c1de1ca76f5a5f43c9afcc503e42c49227c58607eae237e293496924cf9996
SHA512: 6309808467807a72ce956316fa9221b8dcf0d1dd4f57068fc2cf19402a3bbf4aad7cd9d2f606bcd95416fd1a88104dd48acbfa2471b2181ae85aad2ee1f660d5
Homepage: https://cran.r-project.org/package=crossdes
Description: CRAN Package 'crossdes' (Construction of Crossover Designs)
 Contains functions for the construction of carryover balanced crossover
 designs. In addition contains functions to check given designs for balance.

Package: r-cran-crosshap
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1633
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-clustree, r-cran-data.table, r-cran-dbscan, r-cran-dplyr, r-cran-ggdist, r-cran-ggplot2, r-cran-ggpp, r-cran-gridextra, r-cran-gtable, r-cran-magrittr, r-cran-patchwork, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-umap, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-crosshap_1.4.0-1.ca2004.1_all.deb
Size: 1603192
MD5sum: 0223aa65505ffceaf7121368c8c3df00
SHA1: fbaca1af06d94ee9de8a955bdf950ce40d4b7d20
SHA256: c14e0922bb8735e6d1a0dccc5c2b24a975a7b69aa96382ea98af0067e6412a83
SHA512: 89e2f527d627bf923ba8a9457b1b367d883bf3f7935f59ec1d0175aa0bb908359ab18f060680e042b467487d2ee3835976e64b31a4d6319924dd4c00dec78538
Homepage: https://cran.r-project.org/package=crosshap
Description: CRAN Package 'crosshap' (Local Haplotype Clustering and Visualization)
 A local haplotyping visualization toolbox to capture major patterns of
 co-inheritance between clusters of linked variants, whilst connecting
 findings to phenotypic and demographic traits across individuals. 'crosshap'
 enables users to explore and understand genomic variation across a
 trait-associated region.  For an example of successful local haplotype
 analysis, see Marsh et al. (2022) <doi:10.1007/s00122-022-04045-8>.

Package: r-cran-crosslag
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamm4, r-cran-ggplot2, r-cran-lavaan, r-cran-mgcv, r-cran-rms, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-crosslag_0.1.0-1.ca2004.1_all.deb
Size: 80932
MD5sum: e39af1c18b761b8316d141384363a64f
SHA1: a64a813fe10e337aec50fdebdc2c74b05c69e088
SHA256: 323ffddab3babea57086e187068085b39f253444f2d2b0cd30ad4ea17b56339c
SHA512: 8d9fc834f8307007d96733fcb44431a68a3a7c054aada460b5acfe719d2b981a050ed17ecdd304a28fdc23b9b5d904fd04cf952212861c0f2bd717ab8e4301f0
Homepage: https://cran.r-project.org/package=crosslag
Description: CRAN Package 'crosslag' (Perform Linear or Nonlinear Cross Lag Analysis)
 Linear or nonlinear cross-lagged panel model can be built from input data.
 Users can choose the appropriate method from three methods for constructing
 nonlinear cross lagged models. These three methods include polynomial
 regression, generalized additive model and generalized linear mixed model.In
 addition, a function for determining linear relationships is provided.
 Relevant knowledge of cross lagged models can be learned through the paper
 by Fredrik Falkenström (2024) <doi:10.1016/j.cpr.2024.102435> and the paper
 by A Gasparrini (2010) <doi:10.1002/sim.3940>.

Package: r-cran-crossmap
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-broom, r-cran-covr, r-cran-crayon, r-cran-estimatr, r-cran-furrr, r-cran-future, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-crossmap_0.4.2-1.ca2004.1_all.deb
Size: 223548
MD5sum: 2fff1cb86722396c45a7a771b51e9967
SHA1: cade00ad14a215141d6d1521092e3e0e8d567c0a
SHA256: 93f3803bce7c10a19226488913a9a0d57099095b30e6ba0dfd92387b18e1247b
SHA512: eb67ab70569689ec5711985fce6386646822dd865fa050332c58efb36257ed9ede7976ff26fd21e72518b256440be556d26be370f4aeaac038ed7c3af9849d24
Homepage: https://cran.r-project.org/package=crossmap
Description: CRAN Package 'crossmap' (Apply Functions to All Combinations of List Elements)
 Provides an extension to the 'purrr' family of mapping functions to apply a
 function to each combination of elements in a list of inputs.  Also includes
 functions for automatically detecting output type in mapping functions,
 finding every combination of elements of lists or rows of data frames, and
 applying multiple models to multiple subsets of a dataset.

Package: r-cran-crossmatch
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nbpmatching
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-crossmatch_1.4-0-1.ca2004.1_all.deb
Size: 18484
MD5sum: f48b2eac7700e231c8b430f1a042ee20
SHA1: f98174d4786335b1644d7f1d2dfe2fd9e2dccd91
SHA256: 599f3d71b2161ab25195c5b86a1cc83ed28a48a622f3a6be04ce2cf0d114afc3
SHA512: 3edd3f44b2b9287c43361456c487200ca7d5c318f4788aed32a3671053b5d1a40ed7f5cbfceea2a40a522407aa61523e7306bba7b082c086b0934324a84e2ddf
Homepage: https://cran.r-project.org/package=crossmatch
Description: CRAN Package 'crossmatch' (The Cross-Match Test)
 Performs the cross-match test that is an exact, distribution free test of
 equality of 2 high dimensional multivariate distributions.  The input is a
 distance matrix and the labels of the two groups to be compared, the output
 is the number of cross-matches and a p-value. See Rosenbaum (2005)
 <doi:10.1111/j.1467-9868.2005.00513.x>.

Package: r-cran-crossnma
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 754
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-netmeta, r-cran-rjags, r-cran-coda, r-cran-dplyr, r-cran-plyr, r-cran-rlang, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-crossnma_1.3.0-1.ca2004.1_all.deb
Size: 663724
MD5sum: 0c070e363f689c78b5bfaf49d0e7684f
SHA1: 0df7300f934dde6946dd2ae62728804d40b95c6b
SHA256: 1611bebcb9f118f8acdd0519b4e8ee29b89b50ad902696fca9374bbf3fc1dbf4
SHA512: 5195b6439699a08c587ddb54627262170c094718d3d4bfd18a0f52fae46886bffd513d05583d0732c96bbef4d67ac6b8561bd39b774d5a6f36b1cd20a904a130
Homepage: https://cran.r-project.org/package=crossnma
Description: CRAN Package 'crossnma' (Cross-Design & Cross-Format Network Meta-Analysis and Regression)
 Network meta-analysis and meta-regression (allows including up to three
 covariates) for individual participant data, aggregate data, and mixtures of
 both formats using the three-level hierarchical model. Each format can come
 from randomized controlled trials or non-randomized studies or mixtures of
 both. Estimates are generated in a Bayesian framework using JAGS. The
 implemented models are described by Hamza et al. 2023
 <DOI:10.1002/jrsm.1619>.

Package: r-cran-crossreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-boot, r-cran-mass
Filename: pool/dists/focal/main/r-cran-crossreg_1.0-1.ca2004.1_all.deb
Size: 23876
MD5sum: f8bbe92c924d66eada34ac41736db1ce
SHA1: c8e380f1323ccfe37ba6beedae5966de86b428fb
SHA256: e9aee144af6f4df5d311ee30313b9efbd4f08a7e024363f3e71d65b027d48ca7
SHA512: 67499b16640bd49f8a00950343909a62360dde49b8e13ee51de0e878c61afe2cc1ae3ffa55b89f8e9ed092064182c319e839d68ff42ba76514e4a7106b957382
Homepage: https://cran.r-project.org/package=crossReg
Description: CRAN Package 'crossReg' (Confidence intervals for crossover points of two simpleregression lines)
 This package provides functions to calculate confidence intervals for
 crossover points of two simple linear regression lines using the non-linear
 regression, the delta method, the Fieller method, and the bootstrap methods.

Package: r-cran-crossrun
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmpfr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crossrun_0.1.1-1.ca2004.1_all.deb
Size: 332652
MD5sum: 5a4fa6882c206fe567a829b851627127
SHA1: f3c93d0dede8f4db549ce28f15bf411cc245e58e
SHA256: b2b4f7c281930cedb880af8d8cf0c4980c84308ea13d303a325db4d8caed6406
SHA512: 3e066addd3e0fa93d33ca9b74d929042c448af275bf487f2acf33c8a489bef8115453356ed6b94f7f277e36d1744dffd5df9154d097e3566621092019c9ba954
Homepage: https://cran.r-project.org/package=crossrun
Description: CRAN Package 'crossrun' (Joint Distribution of Number of Crossings and Longest Run)
 Joint distribution of number of crossings and the longest run in a series of
 independent Bernoulli trials. The computations uses an iterative procedure
 where computations are based on results from shorter series. The procedure
 conditions on the start value and partitions by further conditioning on the
 position of the first crossing (or none).

Package: r-cran-crosstable
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1013
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-flextable, r-cran-forcats, r-cran-glue, r-cran-lifecycle, r-cran-officer, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-callr, r-cran-covr, r-cran-crayon, r-cran-xml2, r-cran-digest, r-cran-gt, r-cran-expss, r-cran-ggplot2, r-cran-gmodels, r-cran-hmisc, r-cran-hms, r-cran-jsonlite, r-cran-knitr, r-cran-lubridate, r-cran-openxlsx, r-cran-rmarkdown, r-cran-sloop, r-cran-stringi, r-cran-survival, r-cran-systemfonts, r-cran-tidyselect, r-cran-testthat, r-cran-withr, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-crosstable_0.8.1-1.ca2004.1_all.deb
Size: 564684
MD5sum: 93909b074bee168afecf96efe400df48
SHA1: 8f94bbd66d5110536647d52a80bc8baea9b1d492
SHA256: 8523ecdc9204010f0031fb0659ecb1ba561dbc4523b987cb6534b9b1b16541f4
SHA512: ae790fff0195a96b91a5587d99ad7d7e47a04ffe188488d27c27381aecc84560a8d6115f9f7be7f132228cbc99565506363a969848c968850ef0dbdbd503ed28
Homepage: https://cran.r-project.org/package=crosstable
Description: CRAN Package 'crosstable' (Crosstables for Descriptive Analyses)
 Create descriptive tables for continuous and categorical variables.  Apply
 summary statistics and counting function, with or without a grouping
 variable, and create beautiful reports using 'rmarkdown' or 'officer'.  You
 can also compute effect sizes and statistical tests if needed.

Package: r-cran-crosstabs.loglinear
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crosstabs.loglinear_0.1.1-1.ca2004.1_all.deb
Size: 74840
MD5sum: fbf375ec4a3dc1ca2dea8889441de577
SHA1: eb888bb25e6621ba382ab33fc4044b5c8b2d981d
SHA256: 71dc049bddad3b85c35f64dcfb71aae9ef208a82c084323719335e77e6355a9b
SHA512: a4137b8c321e33810a6d4733472617e0ad5c4c7aa4b83da265feabbf8fa0ed8c0030f1685601c7ef8d6929e35915c7659809cd3904c0df8eead0fe212b9a45c4
Homepage: https://cran.r-project.org/package=Crosstabs.Loglinear
Description: CRAN Package 'Crosstabs.Loglinear' (Cross Tabulation and Loglinear Analyses of Categorical Data)
 Provides 'SPSS'- and 'SAS'-like output for cross tabulations of two
 categorical variables (CROSSTABS) and for hierarchical loglinear analyses of
 two or more categorical variables (LOGLINEAR). The methods are described in
 Agresti (2013, ISBN:978-0-470-46363-5), Ajzen & Walker (2021,
 ISBN:9780429330308), Field (2018, ISBN:9781526440273), Norusis (2012,
 ISBN:978-0-321-74843-0), Nussbaum (2015, ISBN:978-1-84872-603-1), Stevens
 (2009, ISBN:978-0-8058-5903-4), Tabachnik & Fidell (2019,
 ISBN:9780134790541), and von Eye & Mun (2013, ISBN:978-1-118-14640-8).

Package: r-cran-crosstalk
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1086
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-lazyeval, r-cran-r6
Suggests: r-cran-shiny, r-cran-ggplot2, r-cran-testthat, r-cran-sass, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-crosstalk_1.2.1-1.ca2004.1_all.deb
Size: 358364
MD5sum: 6e85e0b8840fd1c24270ff3bb648ac83
SHA1: 3488ae12ab2f552b0f4c8dc825b3c00a51e2fea9
SHA256: 0c0c55cd02cae101965fd4602fbac82cd1b140dbef2c4065f93168074ba12a8b
SHA512: 5b414bb143c693c48284d07fc682df46a92d23f33d184cfc18390afdd546e1c45b3190e2b1e8b912ab7f00d22657451ee242d8267dcad6bfc47083574918386f
Homepage: https://cran.r-project.org/package=crosstalk
Description: CRAN Package 'crosstalk' (Inter-Widget Interactivity for HTML Widgets)
 Provides building blocks for allowing HTML widgets to communicate with each
 other, with Shiny or without (i.e. static .html files). Currently supports
 linked brushing and filtering.

Package: r-cran-crossurr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gbm, r-cran-glmnet, r-cran-glue, r-cran-pbapply, r-cran-purrr, r-cran-ranger, r-cran-rcal, r-cran-rlang, r-cran-sis, r-cran-superlearner, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-crossurr_1.1.2-1.ca2004.1_all.deb
Size: 96792
MD5sum: 29db4f7b5441baafa78ee9ac800b5a91
SHA1: bc961d7b486efdc513fb249ba63403bef425cb71
SHA256: 78321b466503061c165bbce1ae67f08695d8ab6c240de2ec1cc158ccecaa5875
SHA512: a4a8803c6b059ab6057ea2475277184e7d69189ef5d7858d4108e98368ed9448d2fabc46f72d5187a6a073f92fcba2729232285fb459a6136f76971e310ef558
Homepage: https://cran.r-project.org/package=crossurr
Description: CRAN Package 'crossurr' (Cross-Fitting for Doubly Robust Evaluation of High-DimensionalSurrogate Markers)
 Doubly robust methods for evaluating surrogate markers as outlined in:
 Agniel D, Hejblum BP, Thiebaut R & Parast L (2022).  "Doubly robust
 evaluation of high-dimensional surrogate markers", Biostatistics
 <doi:10.1093/biostatistics/kxac020>. You can use these methods to determine
 how much of the overall treatment effect is explained by a (possibly
 high-dimensional) set of surrogate markers.

Package: r-cran-crossva
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-openva
Filename: pool/dists/focal/main/r-cran-crossva_1.0.0-1.ca2004.1_all.deb
Size: 301924
MD5sum: bd4d33a03f6cc55b781cd48a0414bf6c
SHA1: fca192cde21206185ebe39a34153f52fcdcbd3c9
SHA256: 456cff4f8d151c14840f641ca7d707248c632c21fd0620efe0ed6facd06cf1d8
SHA512: 375d87c93f206948171868d7d1083cef60a7c45e4ee28b8e17916a42983c4bf1e9d9a39bdc0d2d1bca478ca212772e078a15e4f46698e09ece379dfa304e190d
Homepage: https://cran.r-project.org/package=CrossVA
Description: CRAN Package 'CrossVA' (Verbal Autopsy Data Transformation for InSilicoVA and InterVA5Algorithms)
 Enables transformation of Verbal Autopsy data collected with the WHO 2016
 questionnaire (versions 1.4.1 & 1.5.1) or the WHO 2014 questionnaire for
 automated coding of Cause of Death using the InSilicoVA (data.type =
 "WHO2016") and InterVA5 algorithms. Previous versions of this package
 supported user-supplied mappings (via the map_records function), but this
 functionality has been removed.  This package is made available by WHO and
 the Bloomberg Data for Health Initiative.

Package: r-cran-crossval
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass, r-cran-sda, r-cran-care, r-cran-binda
Filename: pool/dists/focal/main/r-cran-crossval_1.0.5-1.ca2004.1_all.deb
Size: 29160
MD5sum: afd1762009499e9ccb2d62a6a414150f
SHA1: eec88faa3f1a2cb0eb04dd98ad6973e99eb54d6a
SHA256: 225ef5c231d94f19307897dd8e07002ac0fdc0e874e09a6c38b8654a93e3d178
SHA512: 684be662ce6c68a4f38edbd699e9351b97f3844bacc9a5947fe545513b6e7479268ede0e45d2143c7902bfa361bfce90010e5d71a7c38d043a1e659db07665ce
Homepage: https://cran.r-project.org/package=crossval
Description: CRAN Package 'crossval' (Generic Functions for Cross Validation)
 Contains generic functions for performing cross validation and for computing
 diagnostic errors.

Package: r-cran-crossvalidate
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-modeler, r-cran-oompabase
Suggests: r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-crossvalidate_2.3.5-1.ca2004.1_all.deb
Size: 265548
MD5sum: 223739e27cf4aa5d8df98266229ae2a8
SHA1: d28febacb67dddcdd204621c6d42b4b72c62dbf1
SHA256: 16e818fb02d703c0f0ab181d6a2d213e33819770d4405bcc8ee991c0c498393d
SHA512: 2f54c2b5a96f5d5b15687fc82a65fa8c284c2dc8b4ffb9dfa7dbc1c1a4833275eabfce6a949a7ee7b293dff3874d302003ee6092850d9439681c2883cb198bc2
Homepage: https://cran.r-project.org/package=CrossValidate
Description: CRAN Package 'CrossValidate' (Classes and Methods for Cross Validation of "Class Prediction"Algorithms)
 Defines classes and methods to cross-validate various binary classification
 algorithms used for "class prediction" problems.

Package: r-cran-crossvalidationcp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-changepoint, r-cran-fpopw, r-cran-wbs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crossvalidationcp_1.1-1.ca2004.1_all.deb
Size: 73388
MD5sum: 6ed453fdadfe592cccee445f8d70b056
SHA1: bf33b1a9c99018d10e20d63e22bf1283cc6594a2
SHA256: 181f3ee25d17f3eb6683565f8ceb18a1ab2db368b2577ca9a896b74ec3596bd8
SHA512: 13dfe32b2dcd595dabd7e545f60ae55e157e75550a00b7b609cc87f472f4540428d62b4c66f6be124b5ec568bb45edf8511c1eb70496f0245175bd2e77a21366
Homepage: https://cran.r-project.org/package=crossvalidationCP
Description: CRAN Package 'crossvalidationCP' (Cross-Validation for Change-Point Regression)
 Implements the cross-validation methodology from Pein and Shah (2021)
 <arXiv:2112.03220>. Can be customised by providing different
 cross-validation criteria, estimators for the change-point locations and
 local parameters, and freely chosen folds. Pre-implemented estimators and
 criteria are available. It also includes our own implementation of the COPPS
 procedure <doi:10.1214/19-AOS1814>.

Package: r-cran-crosswalkr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haven, r-cran-labelled, r-cran-readr, r-cran-readxl, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-crosswalkr_0.3.0-1.ca2004.1_all.deb
Size: 69736
MD5sum: d85dc3d33c72788f13e9ffe48c310a2d
SHA1: efedd95719886c0cb2f73f98ad96ffd8e1e92fb4
SHA256: 062dadb3fb401901e1e05b99e01630ed3e8b9433eabf7c8cfd054cef50e1f562
SHA512: 65b9a01506923a9842246bdd570f1e56d566246016091017e04290859cd1b919ef848572dd1f13836e01e3670ffec6121bebe3eae5720502ed32efc84dca69da
Homepage: https://cran.r-project.org/package=crosswalkr
Description: CRAN Package 'crosswalkr' (Rename and Encode Data Frames Using External Crosswalk Files)
 A pair of functions for renaming and encoding data frames using external
 crosswalk files. It is especially useful when constructing master data sets
 from multiple smaller data sets that do not name or encode variables
 consistently across files. Based on similar commands in 'Stata'.

Package: r-cran-crossword.r
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-jsonlite, r-cran-r6extended
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crossword.r_0.3.6-1.ca2004.1_all.deb
Size: 67924
MD5sum: b6b7c3f4fd737475ab7c97a45322e168
SHA1: 4cfd6b24e0bc48d6e1c385a64cedc790cdcd6b37
SHA256: 918ee54735c1e811cf0068ca41ec8ec35d0d175ff7d175b4ba1cde5d02b684f3
SHA512: 4f7c1cc79d154e9e3e234790c33addf23d5d185cb10d6ce65ed9d9ef7f7147747b287d7e4f1b12a5fd149b65b436ab0775ca878ebe042ead33fc8a652c4e9535
Homepage: https://cran.r-project.org/package=crossword.r
Description: CRAN Package 'crossword.r' (Generating Crosswords from Word Lists)
 Generate crosswords from a list of words.

Package: r-cran-crov
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vgam, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-crov_0.3.0-1.ca2004.1_all.deb
Size: 145680
MD5sum: a66a0dbd47a606a8ee3ac62e2f7a8180
SHA1: d56e24c458425a8b555fa2b901bd21754caa7560
SHA256: a5805e83266da006bcf053e31fbad215ee9e96d4283eac885b071d972ba9b0f1
SHA512: 80f190b67e59cf05e88b7f22d15ee417f5942c08f5e85b6e8776811ba0db19117eade26463c38c246c813857f12be3ed73e72bd5c22df29eb9001e2dfc6b9dba
Homepage: https://cran.r-project.org/package=crov
Description: CRAN Package 'crov' (Constrained Regression Model for an Ordinal Response and OrdinalPredictors)
 Fits a constrained regression model for an ordinal response with ordinal
 predictors and possibly others, Espinosa and Hennig (2019)
 <DOI:10.1007/s11222-018-9842-2>. The parameter estimates associated with an
 ordinal predictor are constrained to be monotonic. If a monotonicity
 direction (isotonic or antitonic) is not specified for an ordinal predictor
 by the user, then one of the available methods will either establish it or
 drop the monotonicity assumption. Two monotonicity tests are also available
 to test the null hypothesis of monotonicity over a set of parameters
 associated with an ordinal predictor.

Package: r-cran-crplyr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 749
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crunch, r-cran-dplyr, r-cran-ggplot2, r-cran-httptest, r-cran-lazyeval, r-cran-lifecycle, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyselect, r-cran-viridislite
Suggests: r-cran-covr, r-cran-magrittr, r-cran-spelling, r-cran-vdiffr, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crplyr_0.4.2-1.ca2004.1_all.deb
Size: 484248
MD5sum: 062e480e1902d3656391c908b106e7e7
SHA1: f2e3ec1fbdf0b2385dac27fa651d41149b9bffd4
SHA256: 8c9597137b54ef0d848c690232a6c9320cdbaa16871a71932be5e82fed28b8eb
SHA512: c1e447e46b6b605130cda68e13b318b7facc5f8be131dfc27736d1a3a29c678a81f099632418b55c00a15e38ceef97c771ab93b6ebfb1913bebed2a0c672a5bf
Homepage: https://cran.r-project.org/package=crplyr
Description: CRAN Package 'crplyr' (A 'dplyr' Interface for Crunch)
 In order to facilitate analysis of datasets hosted on the Crunch data
 platform <https://crunch.io/>, the 'crplyr' package implements 'dplyr'
 methods on top of the Crunch backend. The usual methods 'select', 'filter',
 'group_by', 'summarize', and 'collect' are implemented in such a way as to
 perform as much computation on the server and pull as little data locally as
 possible.

Package: r-cran-crrcbcv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crrsc, r-cran-abind, r-cran-pracma, r-cran-survival
Filename: pool/dists/focal/main/r-cran-crrcbcv_1.0-1.ca2004.1_all.deb
Size: 43760
MD5sum: 81fc8279f0ce290784c7c3aadd848981
SHA1: ca003029dc2892e5dfd7b5372f6684ed67130d6f
SHA256: 7dc13b62860ddad0127f0401ad11d46065f498f6546cfd169de49d10e3e8ccd7
SHA512: e4b52f0dbeec65af52335979758cfeafcb6e2082ce922c78e88d16923f22c319be20100a4602ab657b43a27f9f2fafbda2dde1a8f4cb06079c80481450b90328
Homepage: https://cran.r-project.org/package=crrcbcv
Description: CRAN Package 'crrcbcv' (Bias-Corrected Variance for Competing Risks Regression withClustered Data)
 A user friendly function 'crrcbcv' to compute bias-corrected variances for
 competing risks regression models using proportional subdistribution hazards
 with small-sample clustered data. Four types of bias correction are
 included: the MD-type bias correction by Mancl and DeRouen (2001)
 <doi:10.1111/j.0006-341X.2001.00126.x>, the KC-type bias correction by
 Kauermann and Carroll (2001) <doi:10.1198/016214501753382309>, the FG-type
 bias correction by Fay and Graubard (2001)
 <doi:10.1111/j.0006-341X.2001.01198.x>, and the MBN-type bias correction by
 Morel, Bokossa, and Neerchal (2003) <doi:10.1002/bimj.200390021>.

Package: r-cran-crrstep
Architecture: all
Version: 2024.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cmprsk
Filename: pool/dists/focal/main/r-cran-crrstep_2024.1.1-1.ca2004.1_all.deb
Size: 36284
MD5sum: cf672507b03181ab610c0775c94c59ad
SHA1: 84686c590ad57d8d2ea1ffe1c26362d8c1f4600f
SHA256: 861cffd74d1da0e42c2be4eb53592ba37d7c18f380ea56b66a4417416e26c5ee
SHA512: 9097c388679704e20c53eda096e6d9f44f824b22e9f6f6329b5ca00cda9ea78d5ef9d7c60a4b35e112bf4eec15f79870cfe3d68176af23ea28b663bfb223ed69
Homepage: https://cran.r-project.org/package=crrstep
Description: CRAN Package 'crrstep' (Stepwise Covariate Selection for the Fine & Gray Competing RisksRegression Model)
 Performs forward and backwards stepwise regression for the Proportional
 subdistribution hazards model in competing risks (Fine & Gray 1999).
 Procedure uses AIC, BIC and BICcr as selection criteria. BICcr has a penalty
 of k = log(n*), where n* is the number of primary events.

Package: r-cran-crseeventstudy
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crseeventstudy_1.2.2-1.ca2004.1_all.deb
Size: 74520
MD5sum: 418dea42aedeefb6c555b3b14c7427f0
SHA1: 114a99099379f8f974395d985e3170d2a18f6dcc
SHA256: 118cfe53934b11c48f809c29bd41e347779035805cdb217a783e1782bdb4c5a0
SHA512: 39a771269c575c3aeaa37dfe86b39abbaf4a8b8538e44364766edf062d1acdd2af8608bfdc091480b7634fd2c523d1f1c5d855b97c6c8fd8d0e5567a0a59cb00
Homepage: https://cran.r-project.org/package=crseEventStudy
Description: CRAN Package 'crseEventStudy' (A Robust and Powerful Test of Abnormal Stock Returns inLong-Horizon Event Studies)
 Based on Dutta et al. (2018) <doi:10.1016/j.jempfin.2018.02.004>, this
 package provides their standardized test for abnormal returns in
 long-horizon event studies. The methods used improve the major weaknesses of
 size, power, and robustness of long-run statistical tests described in
 Kothari/Warner (2007) <doi:10.1016/B978-0-444-53265-7.50015-9>. Abnormal
 returns are weighted by their statistical precision (i.e., standard
 deviation), resulting in abnormal standardized returns. This procedure
 efficiently captures the heteroskedasticity problem. Clustering techniques
 following Cameron et al. (2011) <doi:10.1198/jbes.2010.07136> are adopted
 for computing cross-sectional correlation robust standard errors. The
 statistical tests in this package therefore accounts for potential biases
 arising from returns' cross-sectional correlation, autocorrelation, and
 volatility clustering without power loss.

Package: r-cran-crsmeta
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-crsmeta_0.3.0-1.ca2004.1_all.deb
Size: 27116
MD5sum: 99b9f1d7ea1912a07b6520ecbf8b71dc
SHA1: 7cc3b666f096c55a19c7b0380ad81a7fb5617bd7
SHA256: d5457e971abce5d08c465130ea1988d6864339adace685c0b14276fc54781727
SHA512: ec61ad6e8ac842c930c96fc64c3cbeb2251d77a9fa5536039a32faa03619561bf85af8b38f4fe97b40a56c2675f8f521648434c1b0df503194b0a4e4ca2e0b70
Homepage: https://cran.r-project.org/package=crsmeta
Description: CRAN Package 'crsmeta' (Extract Coordinate System Metadata)
 Obtain coordinate system metadata from various data formats. There are
 functions to extract a 'CRS' (coordinate reference system,
 <https://en.wikipedia.org/wiki/Spatial_reference_system>) in 'EPSG'
 (European Petroleum Survey Group, <http://www.epsg.org/>), 'PROJ4'
 <https://proj.org/>, or 'WKT2' (Well-Known Text 2,
 <http://docs.opengeospatial.org/is/12-063r5/12-063r5.html>) forms. This is
 purely for getting simple metadata from in-memory formats, please use other
 tools for out of memory data sources.

Package: r-cran-crsnls
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crsnls_0.2-1.ca2004.1_all.deb
Size: 42956
MD5sum: 193d4b5a5de115c06cfe175f48b02268
SHA1: 473580728b080e13eaa839e72dee5b2af19d78b5
SHA256: 1ec2e4487de547409ff8fe1997c997fe639d4e4f20cf2a53d182181281c962cf
SHA512: fd93cd0c97abddfeb88e1d49c6547dd76bcc5a867079f64845590a3d47bceb123a3014ff7de306003c71ba5ea50200ceb1d50e8ec6ff0198fc124b9aab051cd5
Homepage: https://cran.r-project.org/package=crsnls
Description: CRAN Package 'crsnls' (Nonlinear Regression Parameters Estimation by 'CRS4HC' and'CRS4HCe')
 Functions for nonlinear regression parameters estimation by algorithms based
 on Controlled Random Search algorithm.  Both functions (crs4hc(), crs4hce())
 adapt current search strategy by four heuristics competition. In addition,
 crs4hce() improves adaptability by adaptive stopping condition.

Package: r-cran-crso
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crso_0.1.1-1.ca2004.1_all.deb
Size: 132600
MD5sum: 45a47d8adb37d2baec0caa01160fe2b2
SHA1: dc8c941f25b07427d0e99525905b3f9c21e53e54
SHA256: 0fbf1e9a3b6455b1417a6075a2a0484a5e60b73edf9498eee186642abfb0086e
SHA512: b203181d244817d86055f5637d568a6c885ea70f078b32b14ab7ac6b47b3653c4408b9eedcb570cb9cbc69049ee40da15403d3c246c87beaca42e98991466f00
Homepage: https://cran.r-project.org/package=crso
Description: CRAN Package 'crso' (Cancer Rule Set Optimization ('crso'))
 An algorithm for identifying candidate driver combinations in cancer. CRSO
 is based on a theoretical model of cancer in which a cancer rule is defined
 to be a collection of two or more events (i.e., alterations) that are
 minimally sufficient to cause cancer. A cancer rule set is a set of cancer
 rules that collectively are assumed to account for all of ways to cause
 cancer in the population. In CRSO every event is designated explicitly as a
 passenger or driver within each patient.  Each event is associated with a
 patient-specific, event-specific passenger penalty, reflecting how unlikely
 the event would have happened by chance, i.e., as a passenger.  CRSO
 evaluates each rule set by assigning all samples to a rule in the rule set,
 or to the null rule, and then calculating the total statistical penalty from
 all unassigned event. CRSO uses a three phase procedure find the best rule
 set of fixed size K for a range of Ks. A core rule set is then identified
 from among the best rule sets of size K as the rule set that best balances
 rule set size and statistical penalty.  Users should consult the 'crso'
 vignette for an example walk through of a full CRSO run.  The full
 description, of the CRSO algorithm is presented in: Klein MI, Cannataro V,
 Townsend J, Stern DF and Zhao H. "Identifying combinations of cancer driver
 in individual patients."  BioRxiv 674234 [Preprint]. June 19, 2019.
 <doi:10.1101/674234>.  Please cite this article if you use 'crso'.

Package: r-cran-crsra
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-digest, r-cran-tidytext, r-cran-tibble, r-cran-rcorpora, r-cran-knitr
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crsra_0.2.3-1.ca2004.1_all.deb
Size: 2242216
MD5sum: ae21d3321760fc48f4e2a682737e4331
SHA1: 08b628568b4a00c0c0e7ca7b8bb55281dd9d9eda
SHA256: 80f77f6669a6a970cd64dc0be026aab42118bdd13592adaf8df8c452c050c512
SHA512: 4e36031f93719bceb15f75cf122a44bf54f73f8b32fb13e59e5aca8ad67ff0ae22378da806ee16a066fe4a5f9ee2b321f3dc8b9ebe003165fd50aca7eec48420
Homepage: https://cran.r-project.org/package=crsra
Description: CRAN Package 'crsra' (Tidying and Analyzing 'Coursera' Research Export Data)
 Tidies and performs preliminary analysis of 'Coursera' research export data.
 These export data can be downloaded by anyone who has classes on Coursera
 and wants to analyze the data. Coursera is one of the leading providers of
 MOOCs and was launched in January 2012. With over 25 million learners,
 Coursera is the most popular provider in the world being followed by EdX,
 the MOOC provider that was a result of a collaboration between Harvard
 University and MIT, with over 10 million users. Coursera has over 150
 university partners from 29 countries and offers a total of 2000+ courses
 from computer science to philosophy. Besides, Coursera offers 180+
 specialization, Coursera's credential system, and four fully online Masters
 degrees. For more information about Coursera check Coursera's About page on
 <https://blog.coursera.org/about/>.

Package: r-cran-crsuggest
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5874
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf, r-cran-units, r-cran-dplyr, r-cran-purrr, r-cran-mapview
Suggests: r-cran-mapboxapi, r-cran-tigris, r-cran-tidycensus, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-crsuggest_0.4-1.ca2004.1_all.deb
Size: 5980552
MD5sum: a4ed1975b6d67fa78144d0748cfc188d
SHA1: 74f960d0cbac5e37e4dc9a0d421360383bfb3892
SHA256: 932b32991d05f508d91a2f45222f2a8f57ebe7104ddc26eec136ecc0c5ae1170
SHA512: 3c092e9460fd0dff6d84f41473e0b48f729c5d3e777b80bee34c206471538b44a6d4e99c25798693ad818e4cfd9faf5be0ad0e8b6e48517ecb0687a9073dbb8c
Homepage: https://cran.r-project.org/package=crsuggest
Description: CRAN Package 'crsuggest' (Obtain Suggested Coordinate Reference System Information forSpatial Data)
 Uses data from the 'EPSG' Registry to look up suitable coordinate reference
 system transformations for spatial datasets in R.  Returns a data frame with
 'CRS' codes that can be used for 'CRS' transformation and mapping projects.
 Please see the 'EPSG' Dataset Terms of Use at
 <https://epsg.org/terms-of-use.html> for more information.

Package: r-cran-crt2power
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-devtools, r-cran-knitr, r-cran-rootsolve, r-cran-tidyverse, r-cran-tableone, r-cran-foreach, r-cran-mvtnorm, r-cran-tibble, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crt2power_1.2.1-1.ca2004.1_all.deb
Size: 124904
MD5sum: 453df17e200712498b1e0b9e77284b38
SHA1: 065072d29a8b633ca64c7a9687cd227aa25ce259
SHA256: 0718cd37a70859a9424a37cd2feefa0ed73cf6ba061e0c0ab992e5c03e4ff4a2
SHA512: 8397218c74ee512fa12daf24f909b90851b63f88a55bae85575bee6ca8e5f2abc091fa0a60df2e7c54da9a506a69c97e12caa12945920758feebbf29fa92f4cb
Homepage: https://cran.r-project.org/package=crt2power
Description: CRAN Package 'crt2power' (Designing Cluster-Randomized Trials with Two ContinuousCo-Primary Outcomes)
 Provides methods for powering cluster-randomized trials with two continuous
 co-primary outcomes using five key design techniques. Includes functions for
 calculating required sample size and statistical power. For more details on
 methodology, see Owen et al. (2025) <doi:10.1002/sim.70015>, Yang et al.
 (2022) <doi:10.1111/biom.13692>, Pocock et al. (1987) <doi:10.2307/2531989>,
 Vickerstaff et al. (2019) <doi:10.1186/s12874-019-0754-4>, and Li et al.
 (2020) <doi:10.1111/biom.13212>.

Package: r-cran-crtests
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-plyr, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-e1071, r-cran-randomforest, r-cran-rpart, r-cran-adabag, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crtests_0.2.1-1.ca2004.1_all.deb
Size: 139524
MD5sum: 09ae5c755ec9328e18f6f6be504d9396
SHA1: f56cf7924636a32092d48848a5d07033e5f09025
SHA256: b28ba2346145e44b75c0f7d4be61a622bff271a03c0241c4b174b301e0da8481
SHA512: 665c17a55ac77bf94d9ccc51d2bb1b0c3f9d7a6db3c64aa1a5a10719d0d319267e3384787bfd7e18d26b972763f2c914a29476704b7cb626e755b2fb37da4cfd
Homepage: https://cran.r-project.org/package=crtests
Description: CRAN Package 'crtests' (Classification and Regression Tests)
 Provides wrapper functions for running classification and regression tests
 using different machine learning techniques, such as Random Forests and
 decision trees. The package provides standardized methods for preparing data
 to suit the algorithm's needs, training a model, making predictions, and
 evaluating results. Also, some functions are provided to run multiple
 instances of a test.

Package: r-cran-crtgeedr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-crtgeedr_2.0.1-1.ca2004.1_all.deb
Size: 492192
MD5sum: afbe824e397a0bd492030ba84be69ceb
SHA1: 30467cbda4a80d27abdd6d36809ea27815e48848
SHA256: 3853e6ae88991bddb08984fa139f3f963e11cb624079b3252cf4e5a9d4660747
SHA512: 31fd87dbc5de79a6443d4ca9167fb032d624070edf0dcf0e89b6057e2dc50e008d49b2425d073b272251dc0bca98cba49eb85ec3bd6b5be851225617a159e751
Homepage: https://cran.r-project.org/package=CRTgeeDR
Description: CRAN Package 'CRTgeeDR' (Doubly Robust Inverse Probability Weighted Augmented GEEEstimator)
 Implements a semi-parametric GEE estimator accounting for missing data with
 Inverse-probability weighting (IPW) and for imbalance in covariates with
 augmentation (AUG). The estimator IPW-AUG-GEE is Doubly robust (DR).

Package: r-cran-crtsize
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crtsize_1.2-1.ca2004.1_all.deb
Size: 106144
MD5sum: 24e6e4746589b637fe62c2143323c27b
SHA1: 0671a1a52bf462ca10964420ee1a692eabb90c36
SHA256: 513594ed920e32aafcfbfae172a42a340cad841483881c4a16397f5dec7794b5
SHA512: 8b0f365c49f2edfceb182ae42cb47c56e9f8b2d4fa64e78ee1b71e3677f5145b4c4063d3b9ec3f8dfef2315df087affb39956d460647082cf73422e487cdfda6
Homepage: https://cran.r-project.org/package=CRTSize
Description: CRAN Package 'CRTSize' (Sample Size Estimation Functions for Cluster Randomized Trials)
 Sample size estimation in cluster (group) randomized trials.  Contains
 traditional power-based methods, empirical smoothing (Rotondi and Donner,
 2009), and updated meta-analysis techniques (Rotondi and Donner, 2012).

Package: r-cran-crtspat
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2626
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-tidyr, r-cran-magrittr, r-cran-dplyr, r-cran-oor, r-cran-lme4, r-cran-sf, r-cran-matrix, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-jagsui, r-cran-tsp, r-cran-gee, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-crtspat_1.3.2-1.ca2004.1_all.deb
Size: 1936924
MD5sum: a97735e3f5233d0b49009e2c4baa1593
SHA1: dfc00f168482b86e96bf8659ae3c33733ece8b6a
SHA256: bf44f318927f083fdcc96737814022ac64f18c459f94eab2898e783239c13e73
SHA512: 43128e8d04e773cc7c6c36acb611d541ec194923f489a09be1da119ac2c6907bc27f254c3f24c40b01a1e1d1f73a92ba3c082898b3a718001fc3303b8f2fa919
Homepage: https://cran.r-project.org/package=CRTspat
Description: CRAN Package 'CRTspat' (Workflow for Cluster Randomised Trials with Spillover)
 Design, workflow and statistical analysis of Cluster Randomised Trials of
 (health) interventions where there may be spillover between the arms (see
 <https://thomasasmith.github.io/index.html>).

Package: r-cran-crul
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 857
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-r6, r-cran-urltools, r-cran-httpcode, r-cran-jsonlite, r-cran-mime
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-fauxpas, r-cran-webmockr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-crul_1.5.0-1.ca2004.1_all.deb
Size: 620292
MD5sum: b974922ff6692cc425dbd8e7e6a78f30
SHA1: b0b3c1bc4afed7849fd39bfb4b0596335337cb7b
SHA256: 79e29c7e053fb997dd7e5b54852382c33486d918f8115941be9966213c3a275e
SHA512: 4d031451e201c33651ed702e774308eb15ada3475fe43e9007410429399aeab67e8858e35f528f6e5e8fdb5469df8fe8dd39978bd85f72f2a9d3beb17f83056c
Homepage: https://cran.r-project.org/package=crul
Description: CRAN Package 'crul' (HTTP Client)
 A simple HTTP client, with tools for making HTTP requests, and mocking HTTP
 requests. The package is built on R6, and takes inspiration from Ruby's
 'faraday' gem (<https://rubygems.org/gems/faraday>).  The package name is a
 play on curl, the widely used command line tool for HTTP, and this package
 is built on top of the R package 'curl', an interface to 'libcurl'
 (<https://curl.se/libcurl/>).

Package: r-cran-crumble
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-matrix, r-cran-origami, r-cran-torch, r-cran-rsymphony, r-cran-purrr, r-cran-cli, r-cran-s7, r-cran-data.table, r-cran-coro, r-cran-generics, r-cran-lmtp, r-cran-mlr3superlearner, r-cran-progressr, r-cran-ife
Suggests: r-cran-testthat, r-cran-truncnorm, r-cran-mma
Filename: pool/dists/focal/main/r-cran-crumble_0.1.2-1.ca2004.1_all.deb
Size: 95596
MD5sum: 7a518f810367c613ce9deed567e5ff31
SHA1: fd5902dfe0d1039d5bb5e5b265ae9ffe954b7a8d
SHA256: f2ceec139f4ce4c1817bc51ad421a5bbbcd38fdc68bee493b407beaf01992ff3
SHA512: 5a0011b4f0a8ea36c37fd6683d3885d816b0cfd09b6bf8280e162bc78b252fb59ce24cdf69c1eb5752f7b46ef5b7c618c03ece57a5ee6e64adc1c306ef9976d4
Homepage: https://cran.r-project.org/package=crumble
Description: CRAN Package 'crumble' (Flexible and General Mediation Analysis Using Riesz Representers)
 Implements a modern, unified estimation strategy for common mediation
 estimands (natural effects, organic effects, interventional effects, and
 recanting twins) in combination with modified treatment policies as
 described in Liu, Williams, Rudolph, and Díaz (2024)
 <doi:10.48550/arXiv.2408.14620>. Estimation makes use of recent advancements
 in Riesz-learning to estimate a set of required nuisance parameters with
 deep learning. The result is the capability to estimate mediation effects
 with binary, categorical, continuous, or multivariate exposures with
 high-dimensional mediators and mediator-outcome confounders using machine
 learning.

Package: r-cran-crunch
Architecture: all
Version: 1.31.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4024
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-crayon, r-cran-curl, r-cran-httr, r-cran-httpcache, r-cran-jsonlite
Suggests: r-cran-base64enc, r-cran-covr, r-cran-devtools, r-cran-haven, r-cran-httptest, r-cran-knitr, r-cran-lintr, r-cran-magrittr, r-cran-mime, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-crunch_1.31.0-1.ca2004.1_all.deb
Size: 2588576
MD5sum: ea26f63708208e40f5e24c56dcf210ba
SHA1: aedd946fbfba0e140d00fb15e8b0a1932598dbd4
SHA256: af51338801f6f007cc005c375ee8e3c72198e627912e56187cd111f61400a1fb
SHA512: bee0df15102d8f8958373a36e6b9f9b25bcac98188ce0e1c9240814551c733a7fd2fe2c89da3255b441af491be89820755cd56f8aab60ec50b931bca4989f215
Homepage: https://cran.r-project.org/package=crunch
Description: CRAN Package 'crunch' (Crunch.io Data Tools)
 The Crunch.io service <https://crunch.io/> provides a cloud-based data store
 and analytic engine, as well as an intuitive web interface.  Using this
 package, analysts can interact with and manipulate Crunch datasets from
 within R. Importantly, this allows technical researchers to collaborate
 naturally with team members, managers, and clients who prefer a
 point-and-click interface.

Package: r-cran-crunchy
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2804
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crunch, r-cran-shiny, r-cran-httpcache, r-cran-miniui, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-htmltools, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-crunchy_0.3.3-1.ca2004.1_all.deb
Size: 393232
MD5sum: bc8f645df1ce7c685ed2de4eeb8dab40
SHA1: db22d3b1a619e2ad3f871dcc006d3452eec6eba2
SHA256: 1939af40eec9b4b279fc672f3b350c2b5715012ebb4adb0b95403f5369f33c1b
SHA512: b57f9a35f5a1b8d400bb360c75e35abcd32df3f460ca22b82047a6f1447faad3457e6b38b0b2e3fa63ac7f15a9209672a866b22207d4db9ff3854c93a411bfaf
Homepage: https://cran.r-project.org/package=crunchy
Description: CRAN Package 'crunchy' (Shiny Apps on Crunch)
 To facilitate building custom dashboards on the Crunch data platform
 <https://crunch.io/>, the 'crunchy' package provides tools for working with
 'shiny'. These tools include utilities to manage authentication and
 authorization automatically and custom stylesheets to help match the look
 and feel of the Crunch web application. The package also includes several
 gadgets for use in 'RStudio'.

Package: r-cran-cruts
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-raster, r-cran-stringr, r-cran-lubridate, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-cruts_1.1-1.ca2004.1_all.deb
Size: 28844
MD5sum: 19753aea16d5511d3bb47cf23263c37d
SHA1: bd9ec88ee7e0f6843d8fb372e443be19323722b6
SHA256: 569e18846cfa912a38eda3329691a5048e7697274950999c671481d0877d5ccd
SHA512: 3c2cf83cb4e266b93003d09c947cb34d2abfda1d89793c2f87cdd0d5ffaf7cfa4bb0ab6ad458d4154885ffed6530ede344956e55004d560c6571f536fd49449b
Homepage: https://cran.r-project.org/package=cruts
Description: CRAN Package 'cruts' (Interface to Climatic Research Unit Time-Series Version 3.21Data)
 Functions for reading in and manipulating CRU TS3.21: Climatic Research Unit
 (CRU) Time-Series (TS) Version 3.21 data.

Package: r-cran-cruzplot
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-geosphere, r-cran-mapdata, r-cran-marmap, r-cran-maps, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-stringr, r-cran-swfscdas
Suggests: r-cran-httr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cruzplot_1.4.9-1.ca2004.1_all.deb
Size: 782352
MD5sum: 117943dbd53a813aaf98b6d3e8bedbd6
SHA1: b0a099fb0ae132f9be2534d38d71b7c7a2174f49
SHA256: f8985cd53357e297309cb3bbe6126e7d7369ace9d99bec9d065d058e25bf100d
SHA512: e55fe654a1090ceea03c57278e56fb77562391c9c9ee31d1be1b3408373b4ce73cc45289560e6688e7dfd5fb4c3a9c31d9f49e29e66c664c699aa2bd0b2701d6
Homepage: https://cran.r-project.org/package=CruzPlot
Description: CRAN Package 'CruzPlot' (Plot Shipboard DAS Data)
 A utility program oriented to create maps, plot data, and do basic data
 summaries of DAS data files.  These files are typically, but do not have to
 be DAS
 <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-305.PDF>
 data produced by the Southwest Fisheries Science Center (SWFSC) program
 'WinCruz'.

Package: r-cran-crwbmetareg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lmtest, r-cran-rfast2, r-cran-sandwich
Suggests: r-cran-clusterses
Filename: pool/dists/focal/main/r-cran-crwbmetareg_1.0-1.ca2004.1_all.deb
Size: 43656
MD5sum: c1596dbe2617a5a0b2793ce26d379a2e
SHA1: 0032d4befd6646cce0274f563bb66b8b7d5458c1
SHA256: fb3bbe4f132a54b9ad019af621267a19e546abc6773d0adc94c0ab33c1c92d9f
SHA512: 6142210db4ec9ade01d041e7c0e1e86c7aa0d3237d4f1f4c5a430e9ba92a76e961ab8b0bc94b5f1177de2047a8063d2881c29d546597df1012320d3dd793eb79
Homepage: https://cran.r-project.org/package=crwbmetareg
Description: CRAN Package 'crwbmetareg' (Cluster Robust Wild Bootstrap Meta Regression)
 In meta regression sometimes the studies have multiple effects that are
 correlated. For this reason cluster robust standard errors must be computed.
 However, since the clusters are unbalanced the wild bootstrap is suggested.
 See Oczkowski E. and Doucouliagos H. (2015). "Wine prices and quality
 ratings: a meta-regression analysis". American Journal of Agricultural
 Economics, 97(1): 103--121. <doi:10.1093/ajae/aau057> and Cameron A. C.,
 Gelbach J. B. and Miller D. L. (2008). "Bootstrap-based improvements for
 inference with clustered errors". The Review of Economics and Statistics,
 90(3): 414--427. <doi:10.1162/rest.90.3.414>.

Package: r-cran-crwrm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-crwrm_0.0.1-1.ca2004.1_all.deb
Size: 15732
MD5sum: f53ca9528a5f39e2f2418e505802f362
SHA1: 507b74e511819f6f7009ba226244a484295096c5
SHA256: 374d72c471673d8f67d8bec7a915d3e6e522cd2a0bf262a10fadd689a21a4923
SHA512: f92da5f2333b81bb2bfbe674c61dd85610445be1bd7003712c29b2c9b9b93929461ea77f7001179b649f59e4a1b6484d71cb3b9229651ae0165c36710f2a9210
Homepage: https://cran.r-project.org/package=CRWRM
Description: CRAN Package 'CRWRM' (Changing the Reference Group without Re-Running the Model)
 To re-calculate the coefficients and the standard deviation when changing
 the reference group.

Package: r-cran-cry
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4106
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zoo, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-cry_0.5.2-1.ca2004.1_all.deb
Size: 1518628
MD5sum: c49585221ae89cd410ef6922b2bd5c62
SHA1: ded0c1bbe0cd76e43c98a46c84cec689eaec8331
SHA256: dbc71a837c27446ca98867a8bfb3fb7f08d0c62a28f50d2cf4b9f346ffdbe137
SHA512: 0afeee107ae17593fed8b5f025c9b1cf6d2600576eff0505f04a04557f69e4db0a7dec2e4f2fa4e8cdfa7b7e9c5ee1773163e31925ab8c5e5cdfcc23ed6e3827
Homepage: https://cran.r-project.org/package=cry
Description: CRAN Package 'cry' (Statistics for Structural Crystallography)
 Reading and writing of files in the most commonly used formats of structural
 crystallography. It includes functions to work with a variety of statistics
 used in this field and functions to perform basic crystallographic
 computing. References: D. G. Waterman, J. Foadi, G. Evans (2011)
 <doi:10.1107/S0108767311084303>.

Package: r-cran-crypto2
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-progress, r-cran-lubridate, r-cran-jsonlite, r-cran-cli, r-cran-plyr, r-cran-base64enc, r-cran-janitor
Suggests: r-cran-spelling, r-cran-testthat, r-cran-digest
Filename: pool/dists/focal/main/r-cran-crypto2_2.0.3-1.ca2004.1_all.deb
Size: 96328
MD5sum: 8cd995cfe00305a210d521d99b1ed839
SHA1: f324ed1959d16ac2d9b5412e9a01a37fbf006ff9
SHA256: 4c5c5b0a40a33d5c27cb982842bd4cf84490072b616097252ab704036d635a42
SHA512: 9403fb8d5b48461dc1aaed4cf7eddaa757a6f392cf4458d339afa85325c9906b89c29d32bfd4cf2d94355021ccc69b8e3a861d0aa6759c98e3874b8ec603243f
Homepage: https://cran.r-project.org/package=crypto2
Description: CRAN Package 'crypto2' (Download Crypto Currency Data from 'CoinMarketCap' without 'API')
 Retrieves crypto currency information and historical prices as well as
 information on the exchanges they are listed on. Historical data contains
 daily open, high, low and close values for all crypto currencies. All data
 is scraped from <https://coinmarketcap.com> via their 'web-api'.

Package: r-cran-cryptography
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desctools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cryptography_1.0.0-1.ca2004.1_all.deb
Size: 44956
MD5sum: 6804a632a034dd95d986cfd8f79f348f
SHA1: f873bb456d9648515585de465a934d99ed8566ca
SHA256: 2c447af6950540ae0a3c24c923eeea27cdb32f9988e84b51047e4919812ef913
SHA512: 421a0db4c6fee5051cb17a129e2e307b7c7cb365ec60e4e46db275dae7a4bd7ceb35f7a846665cacc30d015a34e424ffc99ed98b32e2b6e0725e984cb40ff1bf
Homepage: https://cran.r-project.org/package=cryptography
Description: CRAN Package 'cryptography' (Encrypts and Decrypts Text Ciphers)
 Playfair, Four-Square, Scytale, Columnar Transposition and Autokey methods.
 Further explanation on methods of classical cryptography can be found at
 Wikipedia; (<https://en.wikipedia.org/wiki/Classical_cipher>).

Package: r-cran-cryptoquotes
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 13277
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-jsonlite, r-cran-lifecycle, r-cran-plotly, r-cran-ttr, r-cran-xts, r-cran-zoo
Suggests: r-cran-data.table, r-cran-knitr, r-cran-quantmod, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-cryptoquotes_1.3.2-1.ca2004.1_all.deb
Size: 2262344
MD5sum: ce085e371126487e57fa84673d537be4
SHA1: ce3a16050748ec1517341cac0a9219c511eef610
SHA256: cb615ba4c0aaec526b6341d2cbd6b6d60bd3ec278a67211907295f6fdf722adc
SHA512: 48bdffed5547f094a74ad3745b97440282d0b5838c3e742fb669a0a4a362a45102f43fbe9e08026ed2cebf2d09294096b2ecd651e9bac7a48a2f45d7c304c9fc
Homepage: https://cran.r-project.org/package=cryptoQuotes
Description: CRAN Package 'cryptoQuotes' (Open Access to Cryptocurrency Market Data, Sentiment Indicatorsand Interactive Charts)
 This high-level API client provides open access to cryptocurrency market
 data, sentiment indicators, and interactive charting tools.  The data is
 sourced from major cryptocurrency exchanges via 'curl' and returned in
 'xts'-format. The data comes in open, high, low, and close (OHLC) format
 with flexible granularity, ranging from seconds to months.  This flexibility
 makes it ideal for developing and backtesting trading strategies or
 conducting detailed market analysis.

Package: r-cran-cryptotax
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1600
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-pricer, r-cran-curl, r-cran-ggplot2, r-cran-ggrepel, r-cran-rcolorbrewer, r-cran-tidyr, r-cran-crypto2, r-cran-stringr, r-cran-rstudioapi, r-cran-rlang, r-cran-tidyselect, r-cran-progress
Suggests: r-cran-spelling, r-cran-usethis, r-cran-flextable, r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cryptotax_0.0.4-1.ca2004.1_all.deb
Size: 1068324
MD5sum: 88d562567ddc43bee5cf8d9c93cb2445
SHA1: dc958106d7857aae3d6a656c1bd0b52cae4aedbe
SHA256: 5db8bf12c7d28a80c4d1fdd0e3b2ed7c736da68e17390feba2f5d832d45d7283
SHA512: 092ee5f255201da8594169b6e75684868c1d7744e1e109f449332c9597862271a6a691b6972a535fd0bef696189dae521a423a89d35c75fcd2170044af61dc23
Homepage: https://cran.r-project.org/package=cryptoTax
Description: CRAN Package 'cryptoTax' (Report Crypto Taxes (Canada Only))
 Helps calculate crypto taxes in R. First, by allowing you to format .CSV
 files from various exchanges to one large data frame of organized
 transactions. Second, by allowing you to calculate your Adjusted Cost Base
 (ACB), ACB per share, and realized and unrealized capital gains/losses.
 Third, by calculating revenues gained from staking, interest, airdrops, etc.
 Fourth, by calculating superficial losses as well. *Disclaimer: This is not
 financial advice.  Use at your own risks. There are no guarantees whatsoever
 in relation to the use of this package. Please consult a tax professional as
 necessary*.

Package: r-cran-cryptotrackr
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 532
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringi, r-cran-openssl, r-cran-digest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cryptotrackr_1.3.3-1.ca2004.1_all.deb
Size: 440088
MD5sum: 1e6aadd0bb0fb19680c9e81a31265dab
SHA1: e539123508c69e8b447150080e7fb1db12eb51c6
SHA256: 7227152fa7c21e66266fbe68f1707cd1e14ea613fe09e4bdd1968867904e4d87
SHA512: 1c979045f3e94b58c4c4ade392cc0820544ea06a229090eb620e9b3694f5b88eba16794ce9d4657d9b1de661db623fb9e15f272929bb4e925e930ddab81f072b
Homepage: https://cran.r-project.org/package=cryptotrackr
Description: CRAN Package 'cryptotrackr' (An Interface to Crypto Data Sources)
 Allows you to connect to data sources across the crypto ecosystem. This data
 can enable a range of activity such as portfolio tracking, programmatic
 trading, or industry analysis. The package is described in French (2024)
 <https://github.com/TrevorFrench/cryptotrackr/wiki>.

Package: r-cran-cryptoverse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1297
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cryptoverse_0.1.0-1.ca2004.1_all.deb
Size: 1266676
MD5sum: 349c16c8bedb6bacba77f232a49dcc2c
SHA1: f3a0958b10c53e305a03dd2e6aadb28cb68d9f63
SHA256: 21b88a1c8bd999695158afd67be37d8415ceee34b9125e0e534c9d32ab5e6682
SHA512: 61bc7383157a1e2cf741344c11620b4942f883131c17165bddfe05fa915ae16aed6f19a7557f14c2ee6984af767759958aafe89849193dff450dfc485fd40be2
Homepage: https://cran.r-project.org/package=cryptoverse
Description: CRAN Package 'cryptoverse' (Visualization and Analytics for the Cryptoverse)
 Providing data to quickly visualize and analyze data from several
 cryptocurrencies.

Package: r-cran-cryptowatchr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-cryptowatchr_0.2.0-1.ca2004.1_all.deb
Size: 58868
MD5sum: 2181da439f3fdcfc3f70c096ee84cfc5
SHA1: 1a6e1b88ce77727901a75aa7e5ac3d16757600d6
SHA256: 90db42bdfdf3ec6b0934d00fcb0ccd80008c90d86feb782772c666251830ab81
SHA512: fa90c12c0fb87fd994c5f886a5e3e44ed4adba3210badc8f9a1cf687637c81e8eaa06c46dae5c00cb800e7920f01bdb4b7715ce9fbff5e0d869f21d11474fbe3
Homepage: https://cran.r-project.org/package=cryptowatchR
Description: CRAN Package 'cryptowatchR' (An API Wrapper for 'Cryptowatch')
 An API wrapper for 'Cryptowatch' to get prices and other information (e.g.,
 volume, trades, order books, bid and ask prices, live quotes, and more)
 about cryptocurrencies and crypto exchanges. See
 <https://docs.cryptowat.ch/rest-api> for a detailed documentation.

Package: r-cran-cryptrndtest
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ksamples, r-cran-sfsmisc, r-cran-rmpfr, r-cran-lambertw, r-cran-gmp, r-cran-tseries
Suggests: r-cran-r.rsp, r-cran-bbotk
Filename: pool/dists/focal/main/r-cran-cryptrndtest_1.2.7-1.ca2004.1_all.deb
Size: 340164
MD5sum: 3f1613fb18b8747dc14a4e7b21a9a042
SHA1: 7fbff24aaedbb553f5e137fbe78124bc9c4a08be
SHA256: ad72d94034e069ea1e21ebe199e643d08fa587cdc28828be6ff69886106d14bb
SHA512: d182a42ceb87a71d7dc501df60860de156969b2611f63dcb5a35f24dec9c36e548814485d80a790c3ca5d22ea59a3941ed5920407e7a3c8ef8dee95b6404f836
Homepage: https://cran.r-project.org/package=CryptRndTest
Description: CRAN Package 'CryptRndTest' (Statistical Tests for Cryptographic Randomness)
 Performs cryptographic randomness tests on a sequence of random integers or
 bits. Included tests are greatest common divisor, birthday spacings, book
 stack, adaptive chi-square, topological binary, and three random walk tests
 (Ryabko and Monarev, 2005) <doi:10.1016/j.jspi.2004.02.010>. Tests except
 greatest common divisor and birthday spacings are not covered by standard
 test suites. In addition to the chi-square goodness-of-fit test, results of
 Anderson-Darling, Kolmogorov-Smirnov, and Jarque-Bera tests are also
 generated by some of the cryptographic randomness tests.

Package: r-cran-cryst
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flux, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-cryst_0.1.0-1.ca2004.1_all.deb
Size: 117192
MD5sum: f6c24328935b8c9c6cde18ccd03edb10
SHA1: e0898f57807451ec5dfa8631e89a634a644e66a3
SHA256: 1cbbc9d00bea5448802540e87fd25133a06c84f75f20cd1ecf61520797b5cbae
SHA512: 6575acd334c0921741d710b3161ee69ccd8852f1315bea209df775aa036f1564a63e8209376352430457cb5252c7c083ecfd4bfd486cc12e114be8301d3febbe
Homepage: https://cran.r-project.org/package=cryst
Description: CRAN Package 'cryst' (Calculate the Relative Crystallinity of Starch by XRD and FTIR)
 Functions to calculate the relative crystallinity of starch by X-ray
 Diffraction (XRD) and Infrared Spectroscopy (FTIR). Starch is biosynthesized
 by plants in the form of granules semicrystalline. For XRD, the relative
 crystallinity is obtained by separating the crystalline peaks from the
 amorphous scattering region. For FTIR, the relative crystallinity is
 achieved by setting of a Gaussian holocrystalline-peak in the 800-1300 cm-1
 region of FTIR spectrum of starch which is divided into amorphous region and
 crystalline region. The relative crystallinity of native starch granules
 varies from 14 of 45 percent. This package was supported by FONDECYT 3150630
 and CIPA Conicyt-Regional R08C1002 is gratefully acknowledged.

Package: r-cran-csa
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-scales, r-cran-reshape2, r-cran-moments, r-cran-lmoments, r-cran-foreach, r-cran-ggpubr, r-cran-raster, r-cran-doparallel
Suggests: r-cran-testthat, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-csa_0.7.1-1.ca2004.1_all.deb
Size: 352480
MD5sum: 2d8e344e5174728be2379528da499eca
SHA1: 8d38e2b3ba3dc8073826a6921c91851ee6703e4f
SHA256: 8a6c84631f3b61dee91338c2e3a3bdd32045eea95aa9167d19238a37195bbbbb
SHA512: 9f33a55344395bf23fa6a93318f6a576b09ded8c635a26be5e7d45a5aab9788f808084bf7a2cb7e350b27cca318861c4ccae3e755f61d19a2ed51fd5d89d6335
Homepage: https://cran.r-project.org/package=csa
Description: CRAN Package 'csa' (A Cross-Scale Analysis Tool for Model-Observation Visualizationand Integration)
 Integration of Earth system data from various sources is a challenging task.
 Except for their qualitative heterogeneity, different data records exist for
 describing similar Earth system process at different spatio-temporal scales.
 Data inter-comparison and validation are usually performed at a single
 spatial or temporal scale, which could hamper the identification of
 potential discrepancies in other scales. 'csa' package offers a simple, yet
 efficient, graphical method for synthesizing and comparing observed and
 modelled data across a range of spatio-temporal scales. Instead of focusing
 at specific scales, such as annual means or original grid resolution, we
 examine how their statistical properties change across spatio-temporal
 continuum.

Package: r-cran-csabounds
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-bmisc, r-cran-pbapply, r-cran-progress, r-cran-qte
Filename: pool/dists/focal/main/r-cran-csabounds_1.0.0-1.ca2004.1_all.deb
Size: 109296
MD5sum: d223488e017606574bf5307942353fb7
SHA1: 8bb58a19e2dc9399d5cd3e5c5844e8a43e4ab4ef
SHA256: b1bd893eda85c393df4eff19bf6408a423c200697f3a8e6a2f6e63834838f480
SHA512: ae1e6cfd745b2908d1f0fd90e1015ffe402af27a831f1c64761c1afb83be51fb0a83441c4f85921037353356b76947952320375dfb0513ded1e4e85bf63bb125
Homepage: https://cran.r-project.org/package=csabounds
Description: CRAN Package 'csabounds' (Bounds on Distributional Treatment Effect Parameters)
 The joint distribution of potential outcomes is not typically identified
 under standard identifying assumptions such as selection on observables or
 even when individuals are randomly assigned to being treated. This package
 contains methods for obtaining tight bounds on distributional treatment
 effect parameters when panel data is available and under a Copula Stability
 Assumption as in Callaway (2017) <https://ssrn.com/abstract=3028251>.

Package: r-cran-csalert
Architecture: all
Version: 2024.6.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ggplot2, r-cran-glm2, r-cran-cstidy, r-cran-cstime, r-cran-lubridate, r-cran-stringr, r-cran-surveillance
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue, r-cran-covidnor, r-cran-csdata, r-cran-csmaps, r-cran-ggrepel, r-cran-plnr
Filename: pool/dists/focal/main/r-cran-csalert_2024.6.24-1.ca2004.1_all.deb
Size: 182224
MD5sum: 5b1ad88f1aff8d04ac40203f035bda82
SHA1: 7e92f9b0d1c5304d4c6cd28b8de6f063c66f54c5
SHA256: 8cc24e76be8e61c7a19da52a577e11fafb9b2856533903b72bb194e566178fb5
SHA512: a3a285fe5f87dcb54d02bcf739fd032183fa8fa79dd07054d6dc5828c33c94363a514a080685cb0f94561524bcae1d97b0bb45aca77ef607a76d6c841a440f99
Homepage: https://cran.r-project.org/package=csalert
Description: CRAN Package 'csalert' (Alerts from Public Health Surveillance Data)
 Helps create alerts and determine trends by using various methods to analyze
 public health surveillance data. The primary analysis method is based upon a
 published analytics strategy by Benedetti (2019) <doi:10.5588/pha.19.0002>.

Package: r-cran-csampling
Architecture: all
Version: 1.2-4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-marg, r-cran-statmod, r-cran-survival
Filename: pool/dists/focal/main/r-cran-csampling_1.2-4.1-1.ca2004.1_all.deb
Size: 87136
MD5sum: 9517b621e3a39efe1d14f312cbded2ce
SHA1: 9b740c3c9409b870d47cd4ba33cd39e602ff43b3
SHA256: 6532234ad6551f3441d525883e32125a08b59a61c1913ca1b35486b6766a1038
SHA512: e7bc3a538eeace644d8b6477ce72de7fdc928e608bca4ad18a833a2fa54506828071fdc05a20b014b719b6d97d685c52eb5e0f02fd0ed758d8ec45dc4434e387
Homepage: https://cran.r-project.org/package=csampling
Description: CRAN Package 'csampling' (Functions for Conditional Simulation in Regression-Scale Models)
 Implements Monte Carlo conditional inference for the parameters of a linear
 nonnormal regression model.

Package: r-cran-cscdrna
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlshrink, r-cran-limsolve, r-bioc-biobase, r-cran-bisquerna, r-cran-plyr, r-cran-seurat, r-bioc-mast
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cscdrna_1.0.3-1.ca2004.1_all.deb
Size: 39300
MD5sum: 2ad9755b367e22e0f745b024da170d7a
SHA1: 4157635ceb47f6bfdbf6164b8489bb5650609242
SHA256: 7ab802529efb5bd1558063904e6ed2e89e3ac525eed68c245f5894d9ceae4808
SHA512: 5c4cb0e33215f3086cf5ebbbb52147e9a13350bae5eb222713b9610f63c0f9fa8d015001c6d714baadbb1e73fff7747c0a3b0d6a874b7797f8fffd0d4c706f33
Homepage: https://cran.r-project.org/package=CSCDRNA
Description: CRAN Package 'CSCDRNA' (Covariance Based Single-Cell Decomposition of Bulk ExpressionData)
 Provides accurate cell type proportion estimation by incorporating
 covariance structure in both single-cell and bulk RNA-seq datasets into the
 analysis. For more detail, see Karimnezhad, A. (2022)
 <doi:10.1101/2022.05.13.491858>.

Package: r-cran-cschange
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rms, r-cran-survival, r-cran-boot, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-cschange_0.1.7-1.ca2004.1_all.deb
Size: 24480
MD5sum: 21f7c9a43bc67dd568822286d048675d
SHA1: 557d84811bf866a7fd02b1fb6818948eda7e6cc9
SHA256: 48a8a5bf3ed593df69e5431fa085864f24c6540d886a763807482da0d58e89a3
SHA512: 12fd771010e414dbb9d24a1dda0d150786ca331261141793c5886111c645247013f321b2e26045b1c6fcb76ae9bd4b5c5c6867f1f623b58155b0c2f01f4e6393
Homepage: https://cran.r-project.org/package=CsChange
Description: CRAN Package 'CsChange' (Testing for Change in C-Statistic)
 Calculate the confidence interval and p value for change in C-statistic. The
 adjusted C-statistic is calculated by using formula as "Somers' Dxy rank
 correlation"/2+0.5. The confidence interval was calculated by using the
 bootstrap method. The p value was calculated by using the Z testing method.
 Please refer to the article of Peter Ganz et al. (2016)
 <doi:10.1001/jama.2016.5951>.

Package: r-cran-csci
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-exactci
Filename: pool/dists/focal/main/r-cran-csci_0.9.3-1.ca2004.1_all.deb
Size: 55096
MD5sum: d4cc1005658e5b6c21f75a294c8adf64
SHA1: 9e4df1a0945e57bd992e83eef6044978f33fc244
SHA256: 4a40bc7f3c086ca9279b4b0618a8046b1ef5d2c2ce381e37b5877332b2d7085c
SHA512: 41053b9cafb122ff094218734db17f81f0548f2ea23e5271802c8d9adc1cd642184aaf4dca416ec396c0e1dc1c7b516696805e10f62bbd56436190cd0c1862f1
Homepage: https://cran.r-project.org/package=csci
Description: CRAN Package 'csci' (Current Status Confidence Intervals)
 Calculates pointwise confidence intervals for the cumulative distribution
 function of the event time for current status data, data where each
 individual is assessed at one time to see if they had the event or not by
 the assessment time.

Package: r-cran-csclone
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-mcclust, r-cran-moments, r-bioc-dnacopy
Filename: pool/dists/focal/main/r-cran-csclone_1.0-1.ca2004.1_all.deb
Size: 55244
MD5sum: 7cead707f2aed703ec6531a8df9588a8
SHA1: 05b75f6c8d9d8a88fc14698116d25f61c177eddf
SHA256: 179bf8fd906f8d200c679e2c1452a3f6902c875a08b9a52eb5a82f58b0727b75
SHA512: 9b7c73473e01b8c74440eb57f89018ec0e241efa4756679ea022f34f6d50b073adc68ad0e1c1fd57e842bb5b5a359465265dbfa2c450b1e31a497a0a30f58084
Homepage: https://cran.r-project.org/package=CSclone
Description: CRAN Package 'CSclone' (Bayesian Nonparametric Modeling in R)
 Germline and somatic locus data which contain the total read depth and B
 allele read depth using Bayesian model (Dirichlet Process) to cluster.
 Meanwhile, the cluster model can deal with the SNVs mutation and the CNAs
 mutation.

Package: r-cran-cscnet
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tidyverse, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-survival, r-cran-prodlim, r-cran-riskregression, r-cran-glmnet, r-cran-caret, r-cran-recipes, r-cran-future, r-cran-furrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cscnet_0.1.2-1.ca2004.1_all.deb
Size: 116232
MD5sum: ad5a0a33dd027c1364e630fe28bcdbad
SHA1: 4d455b5835f7230f94c3684ec3a0c0adf5803914
SHA256: 8467e4a112371886fa94ae9e5c2df49f2dcfb1d36fd852a61052805e443e5cb5
SHA512: 62b8fda34d2324b235feac6758013947afa7798044d876437ed7ad82ca709561cb542fe2f1a93accdceb886fba444a0cfd13227bf9b380b6f2a8137b22e127a7
Homepage: https://cran.r-project.org/package=CSCNet
Description: CRAN Package 'CSCNet' (Fitting and Tuning Regularized Cause-Specific Cox Models withElastic-Net Penalty)
 Flexible tools to fit, tune and obtain absolute risk predictions from
 regularized cause-specific cox models with elastic-net penalty.

Package: r-cran-csdata
Architecture: all
Version: 2024.4.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-broom, r-cran-crayon, r-cran-dplyr, r-cran-forcats, r-cran-fs, r-cran-geojsonio, r-cran-ggplot2, r-cran-glue, r-cran-gt, r-cran-knitr, r-cran-lubridate, r-cran-magrittr, r-cran-mapproj, r-cran-ncdf4, r-cran-purrr, r-cran-readxl, r-cran-reshape2, r-cran-rmarkdown, r-cran-rmapshaper, r-cran-rstudioapi, r-cran-stringr, r-cran-sp, r-cran-sf, r-cran-tidyr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-csdata_2024.4.26-1.ca2004.1_all.deb
Size: 1777236
MD5sum: fba6423763d9118418d0d41ecf356a68
SHA1: 06a38cea90b0b0f30b693a4d3ec55a4826487361
SHA256: dcfc2604e5b0e7baa265b52d99f1c5cfd1d3be8b516a69ae1629b675503ab5c1
SHA512: eca5c89f7f052c5127f27766841682ef866c88d9b4edbab2f110c02320d8277b73371df48cf4378f410ed3a8dd3ca2ebe1756b12520a21b8c62409bd4e2256b4
Homepage: https://cran.r-project.org/package=csdata
Description: CRAN Package 'csdata' (Structural Data for Norway)
 Datasets relating to population in municipalities, municipality/county
 matching, and how different municipalities have merged/redistricted over
 time from 2006 to 2024.

Package: r-cran-csem
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2282
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-alabama, r-cran-cli, r-cran-crayon, r-cran-expm, r-cran-future.apply, r-cran-future, r-cran-lavaan, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-matrixcalc, r-cran-matrixstats, r-cran-polycor, r-cran-progressr, r-cran-psych, r-cran-purrr, r-cran-rdpack, r-cran-rlang, r-cran-symmoments, r-cran-truncatednormal, r-cran-lifecycle
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-nnls, r-cran-prettydoc, r-cran-plotly, r-cran-rmarkdown, r-cran-rootsolve, r-cran-listviewer, r-cran-testthat, r-cran-ggplot2, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-csem_0.5.0-1.ca2004.1_all.deb
Size: 1705764
MD5sum: 3c64ca0bd86c0295fb4efdf85e74fa9c
SHA1: 42afa5cfdd82c7c97481b52cb2ffe5ecf6784e2a
SHA256: 95fa133d8d180a6cfe14233def72640feaf9476a02197c9fa751204cf690b513
SHA512: bd98d9c9966a457d001620c8f8eb7945a04c797e0917c24b6e7dbd8c9bf90f62d7b11575e36187cd21058e4c85ec6b002c5115a7cb2280368c9d424ee16b04c2
Homepage: https://cran.r-project.org/package=cSEM
Description: CRAN Package 'cSEM' (Composite-Based Structural Equation Modeling)
 Estimate, assess, test, and study linear, nonlinear, hierarchical and
 multigroup structural equation models using composite-based approaches and
 procedures, including estimation techniques such as partial least squares
 path modeling (PLS-PM) and its derivatives (PLSc, ordPLSc, robustPLSc),
 generalized structured component analysis (GSCA), generalized structured
 component analysis with uniqueness terms (GSCAm), generalized canonical
 correlation analysis (GCCA), principal component analysis (PCA), factor
 score regression (FSR) using sum score, regression or bartlett scores
 (including bias correction using Croon’s approach), as well as several tests
 and typical postestimation procedures (e.g., verify admissibility of the
 estimates, assess the model fit, test the model fit etc.).

Package: r-cran-cseqpat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlp, r-cran-tm
Filename: pool/dists/focal/main/r-cran-cseqpat_0.1.2-1.ca2004.1_all.deb
Size: 15804
MD5sum: 2f6814d2e0ab9b06eafc544db4da2255
SHA1: 5fbb5484e65cd516e8ae649c590c0ab0cce91891
SHA256: f74258187ac864df7ed013b181a6b9a5431ecf141e4e685bae3044b7fdc71d7d
SHA512: fdefc66fedf3132811f91406f046177ea465421505a5204e79a699ed440a74cb1e2af8400225c62e05d7a777bbf880e468148d55d4375f54c62f449ad784bfb7
Homepage: https://cran.r-project.org/package=CSeqpat
Description: CRAN Package 'CSeqpat' (Frequent Contiguous Sequential Pattern Mining of Text)
 Mines contiguous sequential patterns in text.

Package: r-cran-csesa
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3069
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-csesa_1.2.0-1.ca2004.1_all.deb
Size: 860552
MD5sum: 8e0944bfc79424dc5655adbe0a6aadc5
SHA1: 33b7d403b77cff365323aba18d474aa8a7968abf
SHA256: 74027ce161ab370b408558fc7957e3f052758929c8130f62e61b3f0c31a10312
SHA512: 8af4393ac9712b3aa13be08c2c19c8735859216fe9ac8556dbd2caef4cad56b3c9516503ab5ffac46ec33e49b79dbca6ab36bd27f5b18736dbe997f3e9f7b218
Homepage: https://cran.r-project.org/package=CSESA
Description: CRAN Package 'CSESA' (CRISPR-Based Salmonella Enterica Serotype Analyzer)
 Salmonella enterica is a major cause of bacterial food-borne disease
 worldwide. Serotype identification is the most commonly used typing method
 to characterize Salmonella isolates. However, experimental serotyping needs
 great cost on manpower and resources. Recently, we found that the newly
 incorporated spacer in the clustered regularly interspaced short palindromic
 repeat (CRISPR) could serve as an effective marker for typing of Salmonella.
 It was further revealed by Li et. al (2014) <doi:10.1128/JCM.00696-14> that
 recognized types based on the combination of two newly incorporated spacer
 in both CRISPR loci showed high accordance with serotypes. Here, we
 developed an R package 'CSESA' to predict the serotype based on this
 finding. Considering it’s time saving and of high accuracy, we recommend to
 predict the serotypes of unknown Salmonella isolates using 'CSESA' before
 doing the traditional serotyping.

Package: r-cran-csfa
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3344
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-fabia, r-cran-pls, r-cran-factominer, r-cran-elasticnet, r-cran-randomcolor, r-cran-snowft
Suggests: r-cran-knitr, r-cran-gplots, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-csfa_1.2.0-1.ca2004.1_all.deb
Size: 3236196
MD5sum: 571c9a02204083bc9a5d5c615ac3113b
SHA1: 29a17c5c7042a6e5005234140324d776a12618c6
SHA256: e2fb284382fe6bdcd2ab5bfff9b022aa5c63f22c2ddd3c81befed0ef9f0ae894
SHA512: ee5c78edb9aa6f2b0e2eed2593bf89fec98026f948b79b15ef7af9b247f4259569787e3eb4d5bffa2759d73db9cb079fdb971c5d244d1d5cf03a87aa8a8af050
Homepage: https://cran.r-project.org/package=CSFA
Description: CRAN Package 'CSFA' (Connectivity Scores with Factor Analysis)
 Applies factor analysis methodology to microarray data in order to derive
 connectivity scores between compounds. The package also contains an
 implementation of the connectivity score algorithm by Zhang and Gant (2008)
 <doi:10.1186/1471-2105-9-258>.

Package: r-cran-csgo
Architecture: all
Version: 0.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 616
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzyjoin, r-cran-purrr, r-cran-httr, r-cran-stringr, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-extrafont, r-cran-ggplot2, r-cran-future, r-cran-furrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-csgo_0.6.7-1.ca2004.1_all.deb
Size: 411960
MD5sum: a6fa09593097dbbb57a3acab7b63bade
SHA1: 024b109f1d281d6a398b4e4a3132dfd5a59215a5
SHA256: b963dea856c2444812edc16468e80d3dcfc6d0a00a6d878ee1ffa331f866e4c5
SHA512: 5bba9000adccc1a6a5411a8f57cdb5a8fd5067f386769583353ee14f1dece0366ca1cedc7abb6d107a1782a81765ad21786c5bd4ceae9c52ada1885f4f4ea7b5
Homepage: https://cran.r-project.org/package=CSGo
Description: CRAN Package 'CSGo' (Collecting Counter Strike Global Offensive Data)
 An implementation of calls designed to collect and organize in an easy way
 the data from the Steam API specifically for the Counter-Strike Global
 Offensive Game (CS Go)
 <https://developer.valvesoftware.com/wiki/Steam_Web_API>.

Package: r-cran-cshapes
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-rmapshaper, r-cran-sp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cshapes_2.0-1.ca2004.1_all.deb
Size: 3700496
MD5sum: fc22b6fb657adc1a248f1f97d06d0865
SHA1: c4a133c152a1504de9a7e3857694e5913822df1b
SHA256: a6d77bc472d222fb9e3d90b837b8d2b7b0909a1a7422d22d204ef9beee377367
SHA512: 729a37374bbb861d8d4fcc602bf43d19d2b9dec1772afe967c00cb758cc8e58164d7f7efedc6d4dad9706a673f461a87924b7702b4fdfe97cd4d6bdd40004452
Homepage: https://cran.r-project.org/package=cshapes
Description: CRAN Package 'cshapes' (The CShapes 2.0 Dataset and Utilities)
 Package for CShapes 2.0, a GIS dataset of country borders (1886-today).
 Includes functions for data extraction and the computation of distance
 matrices and -lists.

Package: r-cran-cshshydrology
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1890
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields, r-cran-kendall, r-cran-lubridate, r-cran-plotrix, r-cran-timedate, r-cran-stringr, r-cran-ggplot2, r-cran-ggspatial, r-cran-raster, r-cran-sf, r-cran-dplyr, r-cran-magrittr, r-cran-httr, r-cran-tidyhydat, r-cran-whitebox, r-cran-circular
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-cshshydrology_1.4.2-1.ca2004.1_all.deb
Size: 1143864
MD5sum: 2ba28b99d555d65912d9b51c4b4bfdae
SHA1: eb60fddd7bf0dd1a7c93d5a5b594a789377973f5
SHA256: dc8cedabd59bb170d184070cd2f753bc270ab79179d5135202515154bc799d25
SHA512: 2e214dfddc4b359c3327c754ee58482047142e2878ea942cae16b099356550911fd1a256419cf7e20aa14c6da3875925d47298ee3fd86248a87dfdc05dcd5d96
Homepage: https://cran.r-project.org/package=CSHShydRology
Description: CRAN Package 'CSHShydRology' (Canadian Hydrological Analyses)
 A collection of user-submitted functions to aid in the analysis of
 hydrological data, particularly for users in Canada. The functions focus on
 the use of Canadian data sets, and are suited to Canadian hydrology, such as
 the important cold region hydrological processes and will work with Canadian
 hydrological models. The functions are grouped into several themes,
 currently including Statistical hydrology, Basic data manipulations,
 Visualization, and Spatial hydrology. Functions developed by the Floodnet
 project are also included. CSHShydRology has been developed with the
 assistance of the Canadian Society for Hydrological Sciences (CSHS) which is
 an affiliated society of the Canadian Water Resources Association (CWRA). As
 of version 1.2.6, functions now fail gracefully when attempting to download
 data from a url which is unavailable.

Package: r-cran-csindicators
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multiapply, r-cran-climprojdiags, r-cran-cstools, r-cran-spei, r-cran-lmom, r-cran-lmomco, r-cran-zoo, r-cran-s2dv
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-csindicators_1.1.2-1.ca2004.1_all.deb
Size: 392688
MD5sum: 4ae7cc23fd1b49563f2b748ed74317d3
SHA1: 2ee27b46028571c6b6b586234d27a73d8179202c
SHA256: ee8013cae07dc5f1eea1a04388c8506e2e14800502637ab2b5ba217d3917050c
SHA512: 0856780eca9f6b18d06c6af383ee2ef41882553ec43ad1a635f98d42a8eb3c8dcff87245b4d82d30ae8833b015b722872c00f71cd9e78d4ad8e84dcfc5a0b94d
Homepage: https://cran.r-project.org/package=CSIndicators
Description: CRAN Package 'CSIndicators' (Climate Services' Indicators Based on Sub-Seasonal to DecadalPredictions)
 Set of generalised tools for the flexible computation of climate related
 indicators defined by the user. Each method represents a specific
 mathematical approach which is combined with the possibility to select an
 arbitrary time period to define the indicator. This enables a wide range of
 possibilities to tailor the most suitable indicator for each particular
 climate service application (agriculture, food security, energy, water
 management, ...).  This package is intended for sub-seasonal, seasonal and
 decadal climate predictions, but its methods are also applicable to other
 time-scales, provided the dimensional structure of the input is maintained.
 Additionally, the outputs of the functions in this package are compatible
 with 'CSTools'.  This package is described in 'Pérez-Zanón et al. (2023)
 <doi:10.1016/j.cliser.2023.100393>' and it was developed in the context of
 'H2020 MED-GOLD' (776467) and 'S2S4E' (776787) projects. See 'Lledó et al.
 (2019) <doi:10.1016/j.renene.2019.04.135>' and 'Chou et al., 2023
 <doi:10.1016/j.cliser.2023.100345>' for details.

Package: r-cran-csmaps
Architecture: all
Version: 2023.5.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5692
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-magrittr, r-cran-ggrepel, r-cran-leaflet, r-cran-sf, r-cran-csdata
Filename: pool/dists/focal/main/r-cran-csmaps_2023.5.22-1.ca2004.1_all.deb
Size: 3697132
MD5sum: 4a66e9b5b231d0a0136a60ea969e9000
SHA1: cf5a12f9159e812a2c195cd7157917089800e093
SHA256: aea1593d642aa2165f3ef9af23564d2291a1ff24ce621f32ffd423915e575cc1
SHA512: dc1ec631aa9c60cfaf858fda5d041df1df3d8d41f4d822e725e0f258f9ec54996c57732bf358ae4f15e9bfed186b0ed02b7ed28b5c2e737c0dda0622901217fc
Homepage: https://cran.r-project.org/package=csmaps
Description: CRAN Package 'csmaps' (Preformatted Maps of Norway that Don't Need Geolibraries)
 Provides datasets containing preformatted maps of Norway at the county,
 municipality, and ward (Oslo only) level for redistricting in 2024, 2020,
 2018, and 2017. Multiple layouts are provided (normal, split, and with an
 insert for Oslo), allowing the user to rapidly create choropleth maps of
 Norway without any geolibraries.

Package: r-cran-csmes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mco, r-cran-rocr, r-cran-rpart, r-cran-zoo, r-cran-catools, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-csmes_1.0.1-1.ca2004.1_all.deb
Size: 108016
MD5sum: ef61ed0effc40cb932a0d9b0b2106f3a
SHA1: dc4718fd9cabb58ed16aecb105a2764bb33ab296
SHA256: d135d78a0b9e8a1ad65c81898cc2689b1e3457769f1fa9089067db138ca41217
SHA512: bd69034cd151042ed38f54714edb401b4d97e34995b411716edbe0956eafec2ebc5679b5665a85377414b5c18bce9fee581bda18bca744a6a439f2b109894bae
Homepage: https://cran.r-project.org/package=CSMES
Description: CRAN Package 'CSMES' (Cost-Sensitive Multi-Criteria Ensemble Selection for UncertainCost Conditions)
 Functions for cost-sensitive multi-criteria ensemble selection (CSMES) (as
 described in De bock et al. (2020) <doi:10.1016/j.ejor.2020.01.052>) for
 cost-sensitive learning under unknown cost conditions.

Package: r-cran-csmgmm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-mvtnorm, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-csmgmm_0.3.0-1.ca2004.1_all.deb
Size: 111652
MD5sum: f4b3292b0433eb0627d15a1a632b848a
SHA1: e9724d450c9982c55d6df50576d09840383a848c
SHA256: e6f564ec55787066837be226d2249f668a707e81f99d163fd544c00f485d9e9e
SHA512: 21941cb97031a2ad0f8acfc1265f9fe641fb30c20c0a8bb813b982a8534935584805d65730d6877f550f04a3f150c43123770595b9762fb9b8c3ec61b6903dfe
Homepage: https://cran.r-project.org/package=csmGmm
Description: CRAN Package 'csmGmm' (Conditionally Symmetric Multidimensional Gaussian Mixture Model)
 Implements the conditionally symmetric multidimensional Gaussian mixture
 model (csmGmm) for large-scale testing of composite null hypotheses in
 genetic association applications such as mediation analysis, pleiotropy
 analysis, and replication analysis. In such analyses, we typically have J
 sets of K test statistics where K is a small number (e.g. 2 or 3) and J is
 large (e.g. 1 million). For each one of the J sets, we want to know if we
 can reject all K individual nulls. Please see the vignette for a quickstart
 guide. The paper describing these methods is "Testing a Large Number of
 Composite Null Hypotheses Using Conditionally Symmetric Multidimensional
 Gaussian Mixtures in Genome-Wide Studies" by Sun R, McCaw Z, & Lin X (2024,
 <doi:10.1080/01621459.2024.2422124>). The paper is accepted and published
 online (but not yet in print) in the Journal of the American Statistical
 Association as of Dec 1 2024.

Package: r-cran-csmpv
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8270
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-glmnet, r-cran-hmisc, r-cran-rms, r-cran-forestmodel, r-cran-ggplot2, r-cran-ggpubr, r-cran-survminer, r-cran-xgboost, r-cran-scales, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-csmpv_1.0.3-1.ca2004.1_all.deb
Size: 2991400
MD5sum: 43270d9c04404ca3bb1bd7cc6332af3d
SHA1: 73a2819b269e30a91aaf1305a7f2b19895170294
SHA256: 8c22cd9f98686232cbbdae11b8124765855df9b03f6c3cb49315e1d29e49a4c4
SHA512: 6e7f0c6c3fc554c6590e6ced994b6d1f7ce8175a90e608e8bb23aabbb2707ab729e91eee5cbabff89b24c6f281dc6eb54dddfa5c5f5c4ea7dd14338dee3dc382
Homepage: https://cran.r-project.org/package=csmpv
Description: CRAN Package 'csmpv' (Biomarker Confirmation, Selection, Modelling, Prediction, andValidation)
 There are diverse purposes such as biomarker confirmation, novel biomarker
 discovery, constructing predictive models, model-based prediction, and
 validation.  It handles binary, continuous, and time-to-event outcomes at
 the sample or patient level.  - Biomarker confirmation utilizes established
 functions like glm() from 'stats', coxph() from 'survival', surv_fit(), and
 ggsurvplot() from 'survminer'.  - Biomarker discovery and variable selection
 are facilitated by three LASSO-related functions LASSO2(), LASSO_plus(), and
 LASSO2plus(), leveraging the 'glmnet' R package with additional steps.  -
 Eight versatile modeling functions are offered, each designed for predictive
 models across various outcomes and data types.  1) LASSO2(), LASSO_plus(),
 LASSO2plus(), and LASSO2_reg() perform variable selection using LASSO
 methods and construct predictive models based on selected variables.  2)
 XGBtraining() employs 'XGBoost' for model building and is the only function
 not involving variable selection.  3) Functions like LASSO2_XGBtraining(),
 LASSOplus_XGBtraining(), and LASSO2plus_XGBtraining() combine LASSO-related
 variable selection with 'XGBoost' for model construction.  - All models
 support prediction and validation, requiring a testing dataset comparable to
 the training dataset.  Additionally, the package introduces XGpred() for
 risk prediction based on survival data, with the XGpred_predict() function
 available for predicting risk groups in new datasets.  The methodology is
 based on our new algorithms and various references: - Hastie et al. (1992,
 ISBN 0 534 16765-9), - Therneau et al. (2000, ISBN 0-387-98784-3), -
 Kassambara et al. (2021) <https://CRAN.R-project.org/package=survminer>, -
 Friedman et al. (2010) <doi:10.18637/jss.v033.i01>, - Simon et al. (2011)
 <doi:10.18637/jss.v039.i05>, - Harrell (2023)
 <https://CRAN.R-project.org/package=rms>, - Harrell (2023)
 <https://CRAN.R-project.org/package=Hmisc>, - Chen and Guestrin (2016)
 <arXiv:1603.02754>, - Aoki et al. (2023) <doi:10.1200/JCO.23.01115>.

Package: r-cran-csn
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-csn_1.1.3-1.ca2004.1_all.deb
Size: 27376
MD5sum: 59fdaff57643c55c6f04f6d9c64941f4
SHA1: 98749ba7d547153fc07adfec4c133869ccb2d759
SHA256: 8796f609c568c56c992d007ccf3e1fcd881b5781efb544c7b0ba98fadb48e1cd
SHA512: 6fd3b1e9807fd5332934eb0249c55c1a4b8cf04cb8c036d00159d42618e891ebcef1707713d00b2cf6feaf705904f8acbde463b051bd1f21c9f7d163d8cfd0e4
Homepage: https://cran.r-project.org/package=csn
Description: CRAN Package 'csn' (Closed Skew-Normal Distribution)
 Provides functions for computing the density and the log-likelihood function
 of closed-skew normal variates, and for generating random vectors sampled
 from this distribution.  See Gonzalez-Farias, G., Dominguez-Molina, J., and
 Gupta, A. (2004).  The closed skew normal distribution, Skew-elliptical
 distributions and their applications: a journey beyond normality, Chapman
 and Hall/CRC, Boca Raton, FL, pp. 25-42.

Package: r-cran-csodata
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-reshape2, r-cran-rjstat, r-cran-r.cache, r-cran-sf, r-cran-lubridate, r-cran-tidyr, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-csodata_1.5.0-1.ca2004.1_all.deb
Size: 792336
MD5sum: 9363a48d2b4553e82a439e20b8e810ee
SHA1: 824ed3676851f086a91bf237561d43f174276e7b
SHA256: 97d887e0daf9e04902197fbd5db68f5dae57c53f6d30781dcc25504cb030bd98
SHA512: e794057907b75ce97787df21beb8631cddd319aae8190ee87db372586e99e651c189b2efc009abd9b52d4e83fad265c4018aba1fc64711d47bdaaa86a2ba6a9a
Homepage: https://cran.r-project.org/package=csodata
Description: CRAN Package 'csodata' (Download Data from the CSO 'PxStat' API)
 Imports 'PxStat' data in JSON-stat format and (optionally) reshapes it into
 wide format. The Central Statistics Office (CSO) is the national statistical
 institute of Ireland and 'PxStat' is the CSOs online database of Official
 Statistics. This database contains current and historical data series
 compiled from CSO statistical releases and is accessed at
 <http://data.cso.ie>.  The CSO 'PxStat' Application Programming Interface
 (API), which is accessed in this package, provides access to 'PxStat' data
 in JSON-stat format at <http://data.cso.ie>.  This dissemination tool allows
 developers machine to machine access to CSO 'PxStat' data.

Package: r-cran-cspec
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cspec_0.1.2-1.ca2004.1_all.deb
Size: 25756
MD5sum: 9e67f985ffc06ce5e7dce651d750b41e
SHA1: 1b64c624fff204fff2934e8761695320833bef5d
SHA256: 910e51a004ebd6c8f3a9af9b18afb91e1f29c33407f2e9a2c0a126c55e972073
SHA512: 928e8a75598c292a9c1529c9de0945b96ba9a3af733ce15936ed69a40b6d8678cbf808cc469d262d572c6f4739fddc243b783e38fad4b91a58761764412f766f
Homepage: https://cran.r-project.org/package=cspec
Description: CRAN Package 'cspec' (Complete Discrete Fourier Transform (DFT) and Periodogram)
 Calculate the predictive discrete Fourier transform, complete discrete
 Fourier transform, complete periodogram, and tapered complete periodogram.
 This algorithm is based on the preprint "Spectral methods for small sample
 time series: A complete periodogram approach" (2020) by Sourav Das, Suhasini
 Subba Rao, and Junho Yang.

Package: r-cran-cspp
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3693
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-readr, r-cran-tidyselect, r-cran-ggplot2, r-cran-mapproj, r-cran-rlang, r-cran-haven, r-cran-purrr, r-cran-csppdata, r-cran-ggcorrplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggraph, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-cspp_0.3.3-1.ca2004.1_all.deb
Size: 3251528
MD5sum: 25eab7357b36dda572b8b1b9864c17de
SHA1: 8acd06daa7fbdf4bcd01e5d95cc82ff4d5677692
SHA256: e16ede39175aa685c450a6bb738dea3c830c4019e1537305a9b8ab2640269316
SHA512: c02ca21ce03c32fafebdfba044fa69761e34ff2ae521cca118e9bc2afb702ea57e51f67d032b2408a5ec70a07500f0a2049c916ecfbb8a9e943317c014ea2dca
Homepage: https://cran.r-project.org/package=cspp
Description: CRAN Package 'cspp' (A Tool for the Correlates of State Policy Project Data)
 A tool that imports, subsets, visualizes, and exports the Correlates of
 State Policy Project dataset assembled by Marty P. Jordan and Matt Grossmann
 (2020) <http://ippsr.msu.edu/public-policy/correlates-state-policy>. The
 Correlates data contains over 2000 variables across more than 100 years that
 pertain to state politics and policy in the United States. Users with only a
 basic understanding of R can subset this data across multiple dimensions,
 export their search results, create map visualizations, export the citations
 associated with their searches, and more.

Package: r-cran-csppdata
Architecture: all
Version: 0.2.61-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7712
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-csppdata_0.2.61-1.ca2004.1_all.deb
Size: 7863468
MD5sum: 666cc07d1fc7956094236139dd453981
SHA1: 5957fa96ec34b1d4de7d6de3049b3420589a0b60
SHA256: b35e7d4fe1c3349e30f4c04024b7e2f5c0bd3062f1721fc5805c6f9ac07db6af
SHA512: 356fcf392d48e75ca8217bcf5b334d34ff276f39498c2c785517e00ad6d1007a2242d52d3f9ced6a36d976abfb4ff387531128ca95a3ad7e11a1de104f684a20
Homepage: https://cran.r-project.org/package=csppData
Description: CRAN Package 'csppData' (Data Only: The Correlates of State Policy Project Dataset)
 Contains the Correlates of State Policy Project dataset (+ codebook)
 assembled by Marty P. Jordan and Matt Grossmann (2020)
 <http://ippsr.msu.edu/public-policy/correlates-state-policy> used by the
 'cspp' package. The Correlates data contains over 3000 variables across more
 than 100 years that pertain to state politics and policy in the United
 States.

Package: r-cran-csquares
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stars, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-curl, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-ggplot2, r-cran-htmltools, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-csquares_0.1.0-1.ca2004.1_all.deb
Size: 813524
MD5sum: e905318ba63fb2759a32814b21caf0f3
SHA1: 83406b252ccfb01452ecff9f41403f93fea0ef1d
SHA256: 9403fa96893fe7d0106e71d1108094423a23b2bbdbfe9a4f10d232f9e86d9220
SHA512: a653cbc46fb2d3c64fdb4034a1acd84d65ce66a56dcc54129ef92ddeee1a520f7111ecf56c6c05f29ab69cbf15ed804182d9abf6ae9424f0caa778d4a6df3c40
Homepage: https://cran.r-project.org/package=csquares
Description: CRAN Package 'csquares' (Concise Spatial Query and Representation System (c-Squares))
 Encode and decode c-squares, from and to simple feature (sf) or
 spatiotemporal arrays (stars) objects. Use c-squares codes to quickly join
 or query spatial data.

Package: r-cran-csranks
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 819
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-mass, r-cran-cli, r-cran-lifecycle
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-csranks_1.2.3-1.ca2004.1_all.deb
Size: 609480
MD5sum: 501afbc7213af8b4cf152f0ed89316b5
SHA1: a6f15e3c650e41567d94649a0d23873c74a741cc
SHA256: 56738198eb621d4d7d2b7df1739c4ab573caeacc79ced3ec8bcadcd237d80d82
SHA512: 9cc57a3f9f646195b8d77169460bb5cd0da83d48076f32d4ea7075d325a99c82c555ef5494442512731c5e0db9203624831a04e1fbf82c58853edf79944a396c
Homepage: https://cran.r-project.org/package=csranks
Description: CRAN Package 'csranks' (Statistical Tools for Ranks)
 Account for uncertainty when working with ranks.  Estimate standard errors
 consistently in linear regression with ranked variables.  Construct
 confidence sets of various kinds for positions of populations in a ranking
 based on values of a certain feature and their estimation errors.  Theory
 based on Mogstad, Romano, Shaikh, and Wilhelm
 (2023)<doi:10.1093/restud/rdad006> and Chetverikov and Wilhelm (2023)
 <doi:10.48550/arXiv.2310.15512>.

Package: r-cran-csrplus
Architecture: all
Version: 1.03-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-csrplus_1.03-0-1.ca2004.1_all.deb
Size: 31388
MD5sum: cd24abc45be303993fc6f82267764299
SHA1: 3282fd0bb1da957d96ca98ec27db471770a7f5fe
SHA256: 75de555393a3d790969652ec9959a2b3146f5f51fa70f36912ca097874bedc03
SHA512: 459ba91848f6270909c3e042992fbf6ea5c03aaefb05a626267ff0611589ced4147e6a96f9efe04b2ea29555c0fda939c2f3bdc87687dd3d35ae1a01b5a03a7c
Homepage: https://cran.r-project.org/package=csrplus
Description: CRAN Package 'csrplus' (Methods to Test Hypotheses on the Distribution of Spatial PointProcesses)
 Includes two functions to evaluate the hypothesis of complete spatial
 randomness (csr) in point processes.  The function 'mwin' calculates quadrat
 counts to estimate the intensity of a spatial point process through the
 moving window approach proposed by Bailey and Gatrell (1995).  Event counts
 are computed within a window of a set size over a fine lattice of points
 within the region of observation.  The function 'pielou' uses the nearest
 neighbor test statistic and asymptotic distribution proposed by Pielou
 (1959) to compare the observed point process to one generated under csr.
 The value can be compared to that given by the more widely used test
 proposed by Clark and Evans (1954).

Package: r-cran-csstools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sna
Filename: pool/dists/focal/main/r-cran-csstools_1.0-1.ca2004.1_all.deb
Size: 52900
MD5sum: 5fe085ed5f0687a4d746f00df6ab9bd0
SHA1: 457684435b72d68867d0c2b3560f0eadfce65280
SHA256: f39be2f5fc6653b1f047e0c5c08df94fd865ab30257fc8b3623c646f9553cf1a
SHA512: e698f24758343fc744e8e6b419cf2bb66ff450ff692c08ee9a8aa1d821e98451419a908bb16030a75ccbe36b134718854c508382ebd1709508d2dc588d0f0ecd
Homepage: https://cran.r-project.org/package=cssTools
Description: CRAN Package 'cssTools' (Cognitive Social Structure Tools)
 A collection of tools for estimating a network from a random sample of
 cognitive social structure (CSS) slices. Also contains functions for
 evaluating a CSS in terms of various error types observed in each slice.

Package: r-cran-cstar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-cstar_1.0-1.ca2004.1_all.deb
Size: 22948
MD5sum: 933287b9ba64fa1536310ec5b7af3e29
SHA1: 643cd54b0ac33fc05e02cdbae589ac730d0d35b5
SHA256: 91032c5c638e5ca51c5a4dd137e79c9fb9bba4f8c4fd79c80a48c8c126791e26
SHA512: 3031e764048e140a7fe5fcb453a9f3f0810e484bd46fca0edb75b805c59b6fd727feefd3efde032e0996d5dc48afd9c9e36ed25e85658b70abe7098125061c04
Homepage: https://cran.r-project.org/package=cstar
Description: CRAN Package 'cstar' (Substantive significance testing for regression estimates andmarginal effects)
 Functions that allow a researcher to examine the robustness of the
 substantive significance of their findings. Implements ideas set out in
 Esarey and Danneman (2014).

Package: r-cran-cstidy
Architecture: all
Version: 2023.5.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1044
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ggplot2, r-cran-csdata, r-cran-cstime, r-cran-crayon, r-cran-digest, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue, r-cran-gt, r-cran-dplyr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-cstidy_2023.5.24-1.ca2004.1_all.deb
Size: 355880
MD5sum: 0fb7c45eb61b1967320e165beddc401d
SHA1: 6f7f0697ebeee0db1c3a21ea8a396765d4b164fc
SHA256: 26c97301ba53da45e0aac316479af7ead5b85ed17342618519f6808df9ba4628
SHA512: 868b697dbcfa36bbab5ce16a032fb1ffa675e24aa56c02e068eadd69d4fd30ea22315ef81866f328a017dd7893aa77e3ec1d2f0405c6262fd16633f45384d1d8
Homepage: https://cran.r-project.org/package=cstidy
Description: CRAN Package 'cstidy' (Helpful Functions for Cleaning Surveillance Data)
 Helpful functions for the cleaning and manipulation of surveillance data,
 especially with regards to the creation and validation of panel data from
 individual level surveillance data.

Package: r-cran-cstime
Architecture: all
Version: 2023.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1183
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-readxl, r-cran-glue, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-cstime_2023.5.3-1.ca2004.1_all.deb
Size: 395660
MD5sum: 8037e30ec76beaa6dc322566e4184efe
SHA1: 5322ad72f97b10f352178546d1933f2756997387
SHA256: a9848c884c46b79f5b204819a2e44f7c00bfcc25393fd0d496ea4b2753418b73
SHA512: 58a9fdc3f722d3185bbe19e1c7f770471129eca95b77e59f5eb6ef256a14051170388ac25a9ede8a9e56ed495d52e45da0f45367f59a4f2c999a6de32625e4d0
Homepage: https://cran.r-project.org/package=cstime
Description: CRAN Package 'cstime' (Date and Time Functions for Public Health Purposes)
 Provides easy and consistent time conversion for public health purposes. The
 time conversion functions provided here are between date, ISO week, ISO
 yearweek, ISO year, calendar month/year, season, season week.

Package: r-cran-csurvey
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survey, r-cran-cgam, r-cran-coneproj, r-cran-purrr, r-cran-data.table, r-cran-igraph, r-cran-mass, r-cran-matrix, r-cran-tibble, r-cran-ggplot2, r-cran-dplyr, r-cran-zeallot
Suggests: r-cran-nhanes
Filename: pool/dists/focal/main/r-cran-csurvey_1.12-1.ca2004.1_all.deb
Size: 253700
MD5sum: 39f2a438f01619dd4ffe22b61c046f64
SHA1: ec663fb30b9ca172aa3760454535c04bded95cc2
SHA256: 345384e3487fb202b94365872fd951e349d7e92990f456398b5113bc2fd071f3
SHA512: 2be0c78ddd6bf4b115149448a0ea1c221669d180208da9c5c826d3ce1305894e3c10f474d61631678f64ab6c3a396af68d193a67eea655059b57ee39c1f27aec
Homepage: https://cran.r-project.org/package=csurvey
Description: CRAN Package 'csurvey' (Constrained Regression for Survey Data)
 Domain mean estimation with monotonicity or block monotone constraints. See
 Xu X, Meyer MC and Opsomer JD (2021)<doi:10.1016/j.jspi.2021.02.004> for
 more details.

Package: r-cran-csutil
Architecture: all
Version: 2023.4.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue
Filename: pool/dists/focal/main/r-cran-csutil_2023.4.25-1.ca2004.1_all.deb
Size: 108396
MD5sum: 4aafbce969c659c320812a26c0af42e5
SHA1: 9a3eec54426b1b60f1f6202af2d61cb4818f20ac
SHA256: b3494986383a1cc4977886d861f2913f943025928d57819e3bf216204515e287
SHA512: af6fd44fb97257160c74b01038dcbdef44f3ae24208a998ee7594ef7e273504760f6f1ae8ac8df2a7c18e6a0efecc36ce37f2aa66a2181ac56a1cd5215e59fc0
Homepage: https://cran.r-project.org/package=csutil
Description: CRAN Package 'csutil' (Common Base-R Problems Relating to Lists)
 Utility functions that help with common base-R problems relating to lists.
 Lists in base-R are very flexible. This package provides functions to
 quickly and easily characterize types of lists. That is, to identify if all
 elements in a list are null, data.frames, lists, or fully named lists. Other
 functionality is provided for the handling of lists, such as the easy
 splitting of lists into equally sized groups, and the unnesting of
 data.frames within fully named lists.

Package: r-cran-csuv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-relaxo, r-cran-caret, r-cran-futile.logger, r-cran-glmnet, r-cran-ncvreg, r-cran-shiny, r-cran-shinyjs, r-cran-dt, r-cran-mass, r-cran-hdci, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-csuv_0.1.1-1.ca2004.1_all.deb
Size: 152424
MD5sum: 4ceafdb4d5f6c3e97b6a68453c071713
SHA1: 743d17929191ae4b9acad2b64ddcb2b482f2520a
SHA256: f1f53453b98e90c3599b2b5ca9ed253ceb95d14378176f5b3faad8d9c281416e
SHA512: 115653cbb7327061f093c8b597a2f5004e0163bcf9696b2f4b19470450df9227d6ef365353b14c770359eff2747ef51f41513bc30ce6363e751c4fe087cc1088
Homepage: https://cran.r-project.org/package=CSUV
Description: CRAN Package 'CSUV' (Combined Selection and Uncertainty Visualiser (CSUV))
 Implementation of CSUV from C. Yuen and P. Fryzlewicz (2020)
 <arXiv:2003.02791> "Exploiting disagreement between high-dimensional
 variable selectors for uncertainty visualization". CSUV aims to perform
 variable selection and illustrate variable selection uncertainties by
 combining variable selection results from various methods.

Package: r-cran-csv
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-csv_0.6.2-1.ca2004.1_all.deb
Size: 26132
MD5sum: 7c3cd45b230bdbc94ba1d55aebd3bfd8
SHA1: 82ad03a60d797b5c89d21667d8c384e5393d7390
SHA256: 6af3546c50e7a67bc0a492e1dbe2f0595a6594d5a9863ac50f80f63287940a03
SHA512: 57098cabad7de80e741c4063c08629843f8b4b2a6825420edcad4ee89f8ec0fa23942705bc1ab46baa37a802e6bc5614219fc1b9502c8360fd300f3383dff97a
Homepage: https://cran.r-project.org/package=csv
Description: CRAN Package 'csv' (Read and Write CSV Files with Selected Conventions)
 Reads and writes CSV with selected conventions.  Uses the same generic
 function for reading and writing to promote consistent formats.

Package: r-cran-csvwr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-magrittr, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-csvwr_0.1.7-1.ca2004.1_all.deb
Size: 118496
MD5sum: 9c9bbe0b867c7f75c973599cefa708f6
SHA1: 8f0196033db47c92cb7924a1cc77fe9c6e4e989b
SHA256: e1aa76153ee79880baba6be314274608209fda556049a66f5b8f74b75083ccfb
SHA512: 6062ee05387023c591735c499101f28ad57abae5b88bbf1915c61b738df53f38b666ad0afa6f46448c23bb53cf4313ede5c944ad4febd3eff37dd82370ab6f17
Homepage: https://cran.r-project.org/package=csvwr
Description: CRAN Package 'csvwr' (Read and Write CSV on the Web (CSVW) Tables and Metadata)
 Provide functions for reading and writing CSVW - i.e. CSV tables and JSON
 metadata.  The metadata helps interpret CSV by setting the types and
 variable names.

Package: r-cran-csvy
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-csvy_0.3.0-1.ca2004.1_all.deb
Size: 38684
MD5sum: 6e82184aedee342b46c07f5e9223d1a9
SHA1: d0c5e3525b7e2d3a9f47328f9592f9182c248811
SHA256: 99ad8cfcf895450a6f0c5c5774d42040b015f6577b3129bee3ce2052307a2f8e
SHA512: 6764d8d5f1ff819d40aaad7bbbc7d9517fb2e2b59989f70ca79fcf1a1c241c7c9e1d7642a2592c109761ef6904fe19cdb5482f8cded811af7fdf5f3acf0e2d51
Homepage: https://cran.r-project.org/package=csvy
Description: CRAN Package 'csvy' (Import and Export CSV Data with a YAML Metadata Header)
 Support for import from and export to the CSVY file format. CSVY is a file
 format that combines the simplicity of CSV (comma-separated values) with the
 metadata of other plain text and binary formats (JSON, XML, Stata, etc.) by
 placing a YAML header on top of a regular CSV.

Package: r-cran-cta
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-intervals, r-cran-numderiv, r-cran-limsolve
Suggests: r-cran-vcd, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cta_1.3.0-1.ca2004.1_all.deb
Size: 340488
MD5sum: 55820170c4e7ba2beca503c72c0466aa
SHA1: fc5d1d731febdee589bb83f89a709f8580094af9
SHA256: 74c1992e0b3a3a01d9b722b0bfceaaa4b18fc9b7fdb6c1cbc6f275895b4b292c
SHA512: 809ac73081e4c18fc46a1f0a4bfafd37238999940a002ba6bbfc5206910213aa857094f3cc1db4c98d025d07b9ccf537dc03ef96e0d504961d5494e183827c1c
Homepage: https://cran.r-project.org/package=cta
Description: CRAN Package 'cta' (Contingency Table Analysis Based on ML Fitting of MPH Models)
 Contingency table analysis is performed based on maximum likelihood (ML)
 fitting of multinomial-Poisson homogeneous (MPH) and homogeneous linear
 predictor (HLP) models.  See Lang (2004) <doi:10.1214/aos/1079120140> and
 Lang (2005) <doi:10.1198/016214504000001042> for MPH and HLP models. Objects
 computed include model goodness-of-fit statistics; likelihood- based (cell-
 and link-specific) residuals; and cell probability and expected count
 estimates along with standard errors. This package can also compute
 test-inversion--e.g. Wald, profile likelihood, score,
 power-divergence--confidence intervals for contingency table estimands, when
 table probabilities are potentially subject to equality constraints. For
 test-inversion intervals, see Lang (2008) <doi:10.1002/sim.3391> and Zhu
 (2020) <doi:10.17077/etd.005331>.

Package: r-cran-ctablerseh
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctablerseh_1.1.2-1.ca2004.1_all.deb
Size: 140092
MD5sum: 02425265012ba25116630d4285554031
SHA1: 4996af13b37c7d52487ea583bbc5e9ef08f0e55f
SHA256: 74e8ce894a7fe92beff5f9ec2ceefabb6127c94631a6b4eac5ce1b0081f0549c
SHA512: bc636a395ee7b07e3319d94246b842bd3ddd9f161c369299a6d2de7d77659cffca23fe63f7365f0862f3bc5935757ef5b7ebf0500db58273a7d3fea651d0bc44
Homepage: https://cran.r-project.org/package=ctablerseh
Description: CRAN Package 'ctablerseh' (Processing Survey Data with Confidence Intervals Like 'SPSS'Software)
 Processes survey data and displays estimation results along with the
 relative standard error in a table, including the number of samples and also
 uses a t-distribution approach to compute confidence intervals, similar to
 'SPSS' (Statistical Package for the Social Sciences) software.

Package: r-cran-ctashiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinymatrix, r-cran-epitools, r-cran-rpivottable
Filename: pool/dists/focal/main/r-cran-ctashiny_0.1.0-1.ca2004.1_all.deb
Size: 69880
MD5sum: 6949a560dcc67f8ca76537a9722cbd75
SHA1: c4b51bc1f8aacdd4e2411c1962e0d85aaf048893
SHA256: b614a855a7204295b805f8808c95f4658445800f6db1b28ea9f8a99174972325
SHA512: 82cdc1d9ada454ccb23ed6cb12f3272b536bbb3408e1d5a970206e6c3c873ba5a18035458c51cc88ac26c0ebbb3139960a839c488fb10be38bd2d27b9a0f6bab
Homepage: https://cran.r-project.org/package=CTAShiny
Description: CRAN Package 'CTAShiny' (Interactive Application for Working with Contingency Tables)
 An interactive application for working with contingency Tables. The
 application has a template for solving contingency table problems like
 chisquare test of independence,association plot between two categorical
 variables. Runtime examples are provided in the package function as well as
 at <https://jarvisatharva.shinyapps.io/CategoricalDataAnalysis/>.

Package: r-cran-ctbi
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctbi_2.0.5-1.ca2004.1_all.deb
Size: 105080
MD5sum: b5ee2fa48ce822fd609feb11c7a43721
SHA1: 614f9ee269f6077cd1d1ae403caba48dec1ddc9f
SHA256: 3c6cce7bfa9693fb23b0bf98b3c15d0c2cbf83f9b896fad68bdc17b9e64d6f2e
SHA512: 9e88a66b8a90008fb8e8bce723b011a599def18d084469e7d8d0874ee767207c9281bc51adb5f4f789671379c9ff16b89cf902c1cdd28fbfc9ebd16f11f351dc
Homepage: https://cran.r-project.org/package=ctbi
Description: CRAN Package 'ctbi' (A Procedure to Clean, Decompose and Aggregate Timeseries)
 Clean, decompose and aggregate univariate time series following the
 procedure "Cyclic/trend decomposition using bin interpolation" and the
 Logbox method for flagging outliers, both detailed in Ritter, F.: Technical
 note: A procedure to clean, decompose, and aggregate time series, Hydrol.
 Earth Syst. Sci., 27, 349–361, <doi:10.5194/hess-27-349-2023>, 2023.

Package: r-cran-ctd
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-huge, r-cran-ggplot2, r-cran-gplots, r-cran-rcolorbrewer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctd_1.3-1.ca2004.1_all.deb
Size: 4433008
MD5sum: 91dcd4c9c39d6c7086947a23ab6bd4cf
SHA1: 82fc5c40944ffefa7a038e90cd29ca14659d6e2e
SHA256: 8eb4590ec2de44020990772c51fa54934ff56909190af932a8570efddb582690
SHA512: d2f6f8d076a83228606402d4a08f266fa4384bd7fe1ce6cb191405dd9af61bd61e8265fe07e243bfec37753b0e2f700c90ab4bdb96e80b70195f39cad816afbf
Homepage: https://cran.r-project.org/package=CTD
Description: CRAN Package 'CTD' (A Method for 'Connecting The Dots' in Weighted Graphs)
 A method for pattern discovery in weighted graphs as outlined in
 Thistlethwaite et al. (2021) <doi:10.1371/journal.pcbi.1008550>. Two use
 cases are achieved: 1) Given a weighted graph and a subset of its nodes, do
 the nodes show significant connectedness? 2) Given a weighted graph and two
 subsets of its nodes, are the subsets close neighbors or distant?

Package: r-cran-ctf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-iotools
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctf_0.1.0-1.ca2004.1_all.deb
Size: 24376
MD5sum: 47999ba68e4a5d4c4494267f4fd034f4
SHA1: da1bfa7c7c259c3bf42b0d80838ac8b9d90735eb
SHA256: f67a621a4b31e6534c8dc77ea45041842394d0f3ee986b214c49936b74f767ff
SHA512: f5b298e6b50c4ebc45556810680589a44c43c2ee773d84acf6a53c2f54c738b6948c71ddc86b31917a43e95f88e4dc2012d7351413921c9d10e26250ca9fe0fb
Homepage: https://cran.r-project.org/package=ctf
Description: CRAN Package 'ctf' (Read and Write Column Text Format (CTF))
 Column Text Format (CTF) is a new tabular data format designed for
 simplicity and performance.  CTF is the simplest column store you can
 imagine: plain text files for each column in a table, and a metadata file.
 The underlying plain text means the data is human readable and familiar to
 programmers, unlike specialized binary formats.  CTF is faster than row
 oriented formats like CSV when loading a subset of the columns in a table.
 This package provides functions to read and write CTF data from R.

Package: r-cran-ctgdist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mirt
Filename: pool/dists/focal/main/r-cran-ctgdist_0.1.0-1.ca2004.1_all.deb
Size: 20340
MD5sum: 3f05dcaba0db39537df33a27d88f97c3
SHA1: 8c501c734a2335c8c818e88150eda8fa59f21a3c
SHA256: 1663641d5fbac97abc17824018b0285e8e67bcad1bbbbd88b2ab10b91833b68e
SHA512: 6e7aaf607dbc20cdb7c55b3bcd3efba544f159d38ab0306527a68b3228ce62e8af38c02f331ca04a3f38b4e5302abc976e7e0fc0d6648cc1bd655e45826d631a
Homepage: https://cran.r-project.org/package=ctgdist
Description: CRAN Package 'ctgdist' (Likert Category Distance Calculator)
 It is assumed that psychological distances between the categories are equal
 for the measurement instruments consisted of polytomously scored items.
 According to Muraki, this assumption must be tested. In the examination
 process of this assumption, the fit indexes are obtained and evaluated. This
 package provides that this assumption is removed. By with this package, the
 converted scale values of all items in a measurement instrument can be
 calculated by estimating a category parameter set for each item. Thus, the
 calculations can be made without any need to usage of the common category
 parameter set. Through this package, the psychological distances of the
 items are scaled. The scaling of a category parameter set for each item
 cause differentiation of score of the categories will be got from items.
 Also, the total measurement instrument score of an individual can be
 calculated according to the scaling of item score categories by with this
 package.This package provides that the place of individuals related to the
 structure to be measured with a measurement instrument consisted of
 polytomously scored items can be reveal more accurately. In this way, it is
 thought that the results obtained about individuals can be made more
 sensitive, and the differences between individuals can be revealed more
 accurately. On the other hand, it can be argued that more accurate evidences
 can be obtained regarding the psychometric properties of the measurement
 instruments.

Package: r-cran-cthist
Architecture: all
Version: 2.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cthist_2.1.11-1.ca2004.1_all.deb
Size: 51516
MD5sum: 23557f5fea4419a4f98695b19bdcd268
SHA1: 0afa58495261dcdfc66a81974f9db07c18f20444
SHA256: 839b02df8ec44931474716ab17e9723b843027dddd1140d8c1b3965360935249
SHA512: 2a54baa136c153794f914449b2088cd6dcaeffc947d4bd7794040fcee259843a00f63407363d6ebce93e5c136014909056b9c30f1ccdec964e2936c70eaf65e5
Homepage: https://cran.r-project.org/package=cthist
Description: CRAN Package 'cthist' (Clinical Trial Registry History)
 Retrieves historical versions of clinical trial registry entries from
 <https://ClinicalTrials.gov>. Package functionality and implementation for v
 1.0.0 is documented in Carlisle (2022) <DOI:10.1371/journal.pone.0270909>.

Package: r-cran-cthresher
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-cthresher_1.1.0-1.ca2004.1_all.deb
Size: 38308
MD5sum: d77e94d25d5469a6f54289507066aebe
SHA1: 42f7cd6ac9be1c01cfe8a46655427cf580abf503
SHA256: cabfc8b520e7b552c0105c968f8ded62b76adb6d518d3c0c3476ee110a9b95be
SHA512: c7a84f6923726bd1139ad8d450c153f1bf46fb24b76db916d2e0e14ade2f74675977189bf6bc8827363dda5b71b2346cc6465d3ae297ebfe36e146193d10402c
Homepage: https://cran.r-project.org/package=cthreshER
Description: CRAN Package 'cthreshER' (Continuous Threshold Expectile Regression)
 Estimation and inference methods for the continuous threshold expectile
 regression.  It can fit the continuous threshold expectile regression and
 test the existence of change point, for the paper, "Feipeng Zhang and Qunhua
 Li (2016). A continuous threshold expectile regression, submitted."

Package: r-cran-ctm
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jiebar, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-ctm_0.2-1.ca2004.1_all.deb
Size: 21088
MD5sum: 3007b5c50f78ecf43d1146d78cd7c2f8
SHA1: 0b658fda667d1b1612203246ef8cff0537c20958
SHA256: 39d99dcb62d9c4e5bd640aa1bb14aa785a5a59efb1bb311994303474092b061f
SHA512: 44c826458af29384950a61bcf48edd7979002dc3d84c9b03a2d680a9584043b9c02ba34af007d10d1212e45b70b2f90a8ec44a4b5645993a8da0239a7e9d4c54
Homepage: https://cran.r-project.org/package=CTM
Description: CRAN Package 'CTM' (A Text Mining Toolkit for Chinese Document)
 The CTM package is designed to solve problems of text mining and is specific
 for Chinese document.

Package: r-cran-ctmcmove
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-matrix, r-cran-fda, r-cran-gdistance, r-cran-sp
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-ctmcmove_1.2.10-1.ca2004.1_all.deb
Size: 258760
MD5sum: bcee40139ea27913fa820951922a1e87
SHA1: 0719af406afe058a1973e96f69307399b45a4010
SHA256: eb1c9f11ac056ba6cfc043a970bc6c04d921b5cbba8b0fe74494087c754f87af
SHA512: e562a1572cf7ac5531b84acb4e03430b9d181c0f036853971b5414fb69d9c95e1b8f60fc8c57061ca8b24353677b618a872b38223ddf80039566d9dc80d298a6
Homepage: https://cran.r-project.org/package=ctmcmove
Description: CRAN Package 'ctmcmove' (Modeling Animal Movement with Continuous-Time Discrete-SpaceMarkov Chains)
 Software to facilitates taking movement data in xyt format and pairing it
 with raster covariates within a continuous time Markov chain (CTMC)
 framework.  As described in Hanks et al. (2015) <DOI:10.1214/14-AOAS803> ,
 this allows flexible modeling of movement in response to covariates (or
 covariate gradients) with model fitting possible within a Poisson GLM
 framework.

Package: r-cran-ctmle
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-superlearner, r-cran-tmle, r-cran-glmnet
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ctmle_0.1.2-1.ca2004.1_all.deb
Size: 166344
MD5sum: a8575ce40308e4cf7db11624674d46b3
SHA1: be7ea857ccc4db32a96db6664c54068542953f21
SHA256: f08625cf330be571027b511c48cca3701f9b82c1e423caf304f7eac87bd23e50
SHA512: a92129a91f03d3c144aaec6e280617fe51922272fe08b7114a10849c4eebf6f82e812a39183b235ec886dabbc2d476bd9bedaa4124122a134830b23eb914bea2
Homepage: https://cran.r-project.org/package=ctmle
Description: CRAN Package 'ctmle' (Collaborative Targeted Maximum Likelihood Estimation)
 Implements the general template for collaborative targeted maximum
 likelihood estimation. It also provides several commonly used C-TMLE
 instantiation, like the vanilla/scalable variable-selection C-TMLE (Ju et
 al. (2017) <doi:10.1177/0962280217729845>) and the glmnet-C-TMLE algorithm
 (Ju et al. (2017) <arXiv:1706.10029>).

Package: r-cran-ctmm
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4407
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bessel, r-cran-data.table, r-cran-digest, r-cran-expm, r-cran-fasttime, r-cran-gmedian, r-cran-gsl, r-cran-manipulate, r-cran-mass, r-cran-numderiv, r-cran-parsedate, r-cran-pbivnorm, r-cran-pracma, r-cran-raster, r-cran-shape, r-cran-sf, r-cran-sp, r-cran-statmod, r-cran-terra
Suggests: r-cran-animation, r-cran-bit64, r-cran-dplyr, r-cran-fftw, r-cran-knitr, r-cran-move, r-cran-quadprog, r-cran-rmarkdown, r-cran-suncalc
Filename: pool/dists/focal/main/r-cran-ctmm_1.2.0-1.ca2004.1_all.deb
Size: 3865608
MD5sum: 1d725286390450c3bd3abe0ddb6375c5
SHA1: d1c9fb728dc4030d4851aa920b1292f607894395
SHA256: 197f02cf2f0ba7619df5a3488285b82f4ec4afefd0354f0cd04df35a78ec233a
SHA512: 90fa50f3ce16729acac903a33b92140c77f2c6146682f20bf41ac1aac5c935b1b24003ece121fd8c8ad12fc628bc503c546136622a61463e6cf63a3ccffd72bf
Homepage: https://cran.r-project.org/package=ctmm
Description: CRAN Package 'ctmm' (Continuous-Time Movement Modeling)
 Functions for identifying, fitting, and applying continuous-space,
 continuous-time stochastic-process movement models to animal tracking data.
 The package is described in Calabrese et al (2016)
 <doi:10.1111/2041-210X.12559>, with models and methods based on those
 introduced and detailed in Fleming & Calabrese et al (2014)
 <doi:10.1086/675504>, Fleming et al (2014) <doi:10.1111/2041-210X.12176>,
 Fleming et al (2015) <doi:10.1103/PhysRevE.91.032107>, Fleming et al (2015)
 <doi:10.1890/14-2010.1>, Fleming et al (2016) <doi:10.1890/15-1607>, Péron &
 Fleming et al (2016) <doi:10.1186/s40462-016-0084-7>, Fleming & Calabrese
 (2017) <doi:10.1111/2041-210X.12673>, Péron et al (2017)
 <doi:10.1002/ecm.1260>, Fleming et al (2017)
 <doi:10.1016/j.ecoinf.2017.04.008>, Fleming et al (2018)
 <doi:10.1002/eap.1704>, Winner & Noonan et al (2018)
 <doi:10.1111/2041-210X.13027>, Fleming et al (2019)
 <doi:10.1111/2041-210X.13270>, Noonan & Fleming et al (2019)
 <doi:10.1186/s40462-019-0177-1>, Fleming et al (2020)
 <doi:10.1101/2020.06.12.130195>, Noonan et al (2021)
 <doi:10.1111/2041-210X.13597>, Fleming et al (2022)
 <doi:10.1111/2041-210X.13815>, Silva et al (2022)
 <doi:10.1111/2041-210X.13786>, Alston & Fleming et al (2023)
 <doi:10.1111/2041-210X.14025>.

Package: r-cran-ctmva
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fda, r-cran-polynom
Suggests: r-cran-eegkit, r-cran-corrplot
Filename: pool/dists/focal/main/r-cran-ctmva_1.4.0-1.ca2004.1_all.deb
Size: 81712
MD5sum: 1608ba063914ba82737b918e1cf360eb
SHA1: 230a5d0c0f84aa2f4f4207762606f43f2970da87
SHA256: 233de55c28fafca1d4b519b3c9790f3ce2645b85279120538d9eb71e46a6457e
SHA512: 2ab67eefec6fef38e14965dff75cb24fff6dc163a4603cc75898ac55d8af854c328484f0bdd07c1f10604c792da368b35bff7d5b21299d12ca7616bade69e1bc
Homepage: https://cran.r-project.org/package=ctmva
Description: CRAN Package 'ctmva' (Continuous-Time Multivariate Analysis)
 Implements a basis function or functional data analysis framework for
 several techniques of multivariate analysis in continuous-time setting.
 Specifically, we introduced continuous-time analogues of several classical
 techniques of multivariate analysis, such as principal component analysis,
 canonical correlation analysis, Fisher linear discriminant analysis, K-means
 clustering, and so on. Details are in Biplab Paul, Philip T. Reiss and Erjia
 Cui (2023) "Continuous-time multivariate analysis"
 <doi:10.48550/arXiv.2307.09404>.

Package: r-cran-ctnote
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2561
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringi, r-cran-stringr
Suggests: r-cran-ape, r-cran-kableextra, r-cran-knitr, r-cran-readxl, r-cran-rmarkdown, r-cran-survival, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-ctnote_0.1.0-1.ca2004.1_all.deb
Size: 553832
MD5sum: 253e1729ebfab0ef9ca35278687cf888
SHA1: b1e00a8ecbdf14e5a353d4eaa5bfc7e2f5d24d4b
SHA256: 8b76de2e22350fe367dcb99919f91acc0c9421e801d1c6e2384e8f5e7a0c142a
SHA512: a2a065a86c123615468eecd2ab606f993561c7a55dc8c67486498fa047aa01a0dbd76b8419b7a7f37e753bdc689bc04b9dffc7ada20d08d44c97920411c59094
Homepage: https://cran.r-project.org/package=CTNote
Description: CRAN Package 'CTNote' (CTN Outcomes, Treatments, and Endpoints)
 The Clinical Trials Network (CTN) of the U.S. National Institute of Drug
 Abuse sponsored the CTN-0094 research team to harmonize data sets from three
 nationally-representative clinical trials for opioid use disorder (OUD). The
 CTN-0094 team herein provides a coded collection of trial outcomes and
 endpoints used in various OUD clinical trials over the past 50 years.  These
 coded outcome functions are used to contrast and cluster different clinical
 outcome functions based on daily or weekly patient urine screenings.  Note
 that we abbreviate urine drug screen as "UDS" and urine opioid screen as
 "UOS". For the example data sets (based on clinical trials data harmonized
 by the CTN-0094 research team), UDS and UOS are largely interchangeable.

Package: r-cran-ctost
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-powertost, r-cran-cli, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-asciicast
Filename: pool/dists/focal/main/r-cran-ctost_1.0.1-1.ca2004.1_all.deb
Size: 1676732
MD5sum: 9f5300878c8a21ed4e4e329b0b2839c4
SHA1: 9a2f43be61fbad23eeae4bbeb9086b6597fc4f64
SHA256: 3f1e7fe18b9a8853d173d5e4d9f5791cf835908a0a9d06bacad619a414281164
SHA512: 42cc80163eb911d9671ac197744ae2a97e4655fcbc2409add004c619eb34a4db709bc5191e45cee6241f0aaa3557bc710d9430c3c921222084a9ef070c1a950b
Homepage: https://cran.r-project.org/package=cTOST
Description: CRAN Package 'cTOST' (Finite Sample Correction of the Two One-Sided Tests in theUnivariate Framework)
 A system containing easy-to-use tools to compute the bioequivalence
 assessment in the univariate framework using the methods proposed in
 Boulaguiem et al. (2023) <doi:10.1101/2023.03.11.532179>.

Package: r-cran-ctp
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clinfun, r-cran-diagram, r-cran-emmeans, r-cran-dplyr, r-cran-magrittr, r-cran-mass, r-cran-survival, r-cran-shape, r-cran-gmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ctp_3.0.1-1.ca2004.1_all.deb
Size: 208764
MD5sum: 923784c13cfec049d6cbf817c2752875
SHA1: 5629fcc5338339a7d0d6fd75d40238d44f850483
SHA256: ad6ca07f90e00306cc6f1162321d09c5738e62d8e5505916b0ce082051bf526f
SHA512: 7ffc8caa802d2074415838e2769285e6d6df29934a44696ef0e0c97cff0239f0cf74422d9a12e803a95051aa30a8dc5efa47bd23c200c62f39ded9fa879df6a0
Homepage: https://cran.r-project.org/package=CTP
Description: CRAN Package 'CTP' (Closed Testing Procedure (CTP))
 This is a package for constructing hypothesis trees for treatment
 comparisons based on the closure principle and analysing the corresponding
 Closed Testing Procedures (CTP) using adjusted p-values. For reference, see
 Marcus, R., Peritz, E, and Gabriel, K.R. (1976) <doi:10.2307/2335748> and
 Bauer, P (1991) <doi:10.1002/sim.4780100609>.

Package: r-cran-ctpm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-ctmm, r-cran-slouch, r-cran-clusterr
Suggests: r-cran-phytools, r-cran-viridis, r-cran-knitr, r-cran-rmarkdown, r-cran-nlme, r-cran-progress
Filename: pool/dists/focal/main/r-cran-ctpm_1.0.1-1.ca2004.1_all.deb
Size: 264832
MD5sum: 7ed04620f99b9d8c0866f55f12ae01d2
SHA1: f293510ba0c762f7a830a5ec200ad17a76f14b18
SHA256: 76f42f0ac13e91802f2c3315aeb3328e1e5dd8d09c044863c03e3583343b84a1
SHA512: eddc8ab6aea806e4ec956cd0c8597038695c58f451cfab1349132b3e027d8d7566afafe1d0e42c7f68c02fccb9f389475743df9a30c474dff7c96943c6d5cadb
Homepage: https://cran.r-project.org/package=ctpm
Description: CRAN Package 'ctpm' (Continuous-Time Phylogenetic Modeling)
 Functions for identifying, fitting, and applying continuous-time stochastic
 models to phylogenetic data.  The package is based on methods introduced in
 Noonan et al. (2021) <doi:10.1101/2021.05.21.445056>.

Package: r-cran-ctqr
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-pch
Suggests: r-cran-car, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-ctqr_2.1-1.ca2004.1_all.deb
Size: 98752
MD5sum: c9abcc2b6beb05bf509088375eef8c73
SHA1: 66fb9572d6b3f76c3b6329127cda05c2b63f9be7
SHA256: 925af659b497a4bd8c57c6031ce84dff56506f59cb69cbfcb00ab6c40b7c168f
SHA512: 50b93564db676b3f777aaddcfcc0e74a688f046f89ee85c8d554b3592b66f4e388785dc86d5842966898c824fcf2d8e8f1bbc78fcb2e01076f4a20a9b1f0deac
Homepage: https://cran.r-project.org/package=ctqr
Description: CRAN Package 'ctqr' (Censored and Truncated Quantile Regression)
 Estimation of quantile regression models for survival data.

Package: r-cran-ctrdata
Architecture: all
Version: 1.22.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4861
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-clipr, r-cran-xml2, r-cran-nodbi, r-cran-stringi, r-cran-lubridate, r-cran-jqr, r-cran-dplyr, r-cran-zip, r-cran-v8, r-cran-readr, r-cran-digest, r-cran-rlang, r-cran-countrycode, r-cran-htmlwidgets, r-cran-tibble, r-cran-stringdist, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-mongolite, r-cran-tinytest, r-cran-rpostgres, r-cran-duckdb
Filename: pool/dists/focal/main/r-cran-ctrdata_1.22.3-1.ca2004.1_all.deb
Size: 2080868
MD5sum: c38c3810dbbf80ad3659441504308d83
SHA1: 8b66d9516db20968986164e4cc001c19e50d0821
SHA256: 689f4dd5f519a1a183203a16c6a5e8d7f51e516b27c8ffa3fb3ca71430397a51
SHA512: 2c8dd90899e635c6b22cf13d9cacb4a68d6bbdb11f899595ae6f267a78ad0672cb475762129ce204a989a69eeb299c57f50c547f0d9561ac661cfbb8a9ed84ea
Homepage: https://cran.r-project.org/package=ctrdata
Description: CRAN Package 'ctrdata' (Retrieve and Analyze Clinical Trials Data from Public Registers)
 A system for querying, retrieving and analyzing protocol- and
 results-related information on clinical trials from four public registers,
 the 'European Union Clinical Trials Register' ('EUCTR',
 <https://www.clinicaltrialsregister.eu/>), 'ClinicalTrials.gov'
 (<https://clinicaltrials.gov/> and also translating queries the retired
 classic interface), the 'ISRCTN' (<http://www.isrctn.com/>) and the
 'European Union Clinical Trials Information System' ('CTIS',
 <https://euclinicaltrials.eu/>).  Trial information is downloaded, converted
 and stored in a database ('PostgreSQL', 'SQLite', 'DuckDB' or 'MongoDB'; via
 package 'nodbi').  Protocols, statistical analysis plans, informed consent
 sheets and other documents in registers associated with trials can also be
 downloaded.  Other functions implement trial concepts canonically across
 registers, identify deduplicated records, easily find and extract variables
 (fields) of interest even from complex nested data as used by the registers,
 merge variables and update queries.  The package can be used for monitoring,
 meta- and trend-analysis of the design and conduct as well as of the results
 of clinical trials across registers.

Package: r-cran-ctrialsgov
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3448
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-tibble, r-cran-dbi, r-cran-matrix, r-cran-htmlwidgets
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-ctrialsgov_0.2.5-1.ca2004.1_all.deb
Size: 3421172
MD5sum: 12dba46897ff4853f27d33b3dcb776f3
SHA1: edccee1716c9405f3013f986b21d38748174ca89
SHA256: d6ba978d323352f1ebcdf52076791bb94e338512c8e1ed69a0fa53a294b9e0a6
SHA512: ad6a53127c01a6b586f445af6abe12f7cce348037ae8dcf149f4ac1e24e5439e87edf8100ca4c9ab1007d77aa9c40da3a8680e2205eb965fe277501afec9e990
Homepage: https://cran.r-project.org/package=ctrialsgov
Description: CRAN Package 'ctrialsgov' (Query Data from U.S. National Library of Medicine's ClinicalTrials Database)
 Tools to create and query database from the U.S. National Library of
 Medicine's Clinical Trials database <https://clinicaltrials.gov/>. Functions
 provide access a variety of techniques for searching the data using range
 queries, categorical filtering, and by searching for full-text keywords.
 Minimal graphical tools are also provided for interactively exploring the
 constructed data.

Package: r-cran-ctring
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xring, r-cran-functional, r-cran-oro.dicom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ctring_0.1.0-1.ca2004.1_all.deb
Size: 323384
MD5sum: 5f727c9830664e57726f05877bad56a2
SHA1: 769ef2b59d8b20515fcdd1d5ab09399b4c76df5e
SHA256: 739aae939fb477d8ca3d006e87b225c9fb7b74293ea949d0515dbc2ebd7565cb
SHA512: 2b2750a556d1d64ce7e545fcf5744041ef504377aeabda936a3c991ea31e3929530d9a6c1d419056fb6e6049d28bc1a595b5cdf28e2780567760123709e034a2
Homepage: https://cran.r-project.org/package=CTRing
Description: CRAN Package 'CTRing' (Density Profiles of Wood from CT Scan Images)
 Computerized tomography (CT) can be used to assess certain wood properties
 when wood disks or logs are scanned. Wood density profiles (i.e. variations
 of wood density from pith to bark) can yield important information used for
 studies in forest resource assessment, wood quality and dendrochronology
 studies. The first step consists in transforming grey values from the scan
 images to density values. The packages then proposes a unique method to
 automatically locate the pith by combining an adapted Hough Transform method
 and a one-dimensional edge detector. Tree ring profiles (average ring
 density, earlywood and latewood density, ring width and percent latewood for
 each ring) are then obtained.

Package: r-cran-ctrlgene
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych
Filename: pool/dists/focal/main/r-cran-ctrlgene_1.0.1-1.ca2004.1_all.deb
Size: 45108
MD5sum: b97a3d01e6d5a81abe84a04b11bef589
SHA1: f775f88b0c6951218c28c40a61eb261d293ab183
SHA256: 2ab99184d5a7f276778dcbc51068d9380ff8391e13e602b900462f0c940e174c
SHA512: 8f07956114266e258a30d4c66e85016502d8152eb02cd7a3fe4c472b242464872c1a4327e9fdc6d1d93504c70352f815d7c1b5a16b77cc8cf562477e057768fc
Homepage: https://cran.r-project.org/package=ctrlGene
Description: CRAN Package 'ctrlGene' (Assess the Stability of Candidate Housekeeping Genes)
 A simple way to assess the stability of candidate housekeeping genes is
 implemented in this package.

Package: r-cran-ctsemomx
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ctsem, r-cran-openmx, r-cran-matrix, r-cran-plyr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctsemomx_1.0.6-1.ca2004.1_all.deb
Size: 1093160
MD5sum: 07829ad85e4c1e3bc040c4c944a7f10d
SHA1: f9f82e37d6ac8286ed290ebb0a8aa00f641ca6f0
SHA256: 47ad441f909cbad362dd6fd2855439392483f2e588fe5f62ec4114e57f1fd412
SHA512: 83ce76b87e780ee0401dddc70d61d48c41511d1a7b7fd71cff2c56b8b1a1e7a69a3e86c2765d01680b6d9957cbb628b3d9b00e210747cc9cf88e892cff884d3b
Homepage: https://cran.r-project.org/package=ctsemOMX
Description: CRAN Package 'ctsemOMX' (Continuous Time SEM - 'OpenMx' Based Functions)
 Original 'ctsem' (continuous time structural equation modelling)
 functionality, based on the 'OpenMx' software, as described in Driver, Oud,
 Voelkle (2017) <doi:10.18637/jss.v077.i05>, with updated details in
 vignette.  Combines stochastic differential equations representing latent
 processes with structural equation measurement models. These functions were
 split off from the main package of 'ctsem', as the main package uses the
 'rstan' package as a backend now -- offering estimation options from max
 likelihood to Bayesian.  There are nevertheless use cases for the wide
 format SEM style approach as offered here, particularly when there are no
 individual differences in observation timing and the number of individuals
 is large. For the main 'ctsem' package, see
 <https://cran.r-project.org/package=ctsem>.

Package: r-cran-ctsfeatures
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-astsa, r-cran-latex2exp, r-cran-rdpack, r-cran-bolstad2, r-cran-tsibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ctsfeatures_1.2.2-1.ca2004.1_all.deb
Size: 372040
MD5sum: 31dc1a7b543e6607786e730dcc0180aa
SHA1: b27de207078fc2c6b094968ae3d970d0710e8437
SHA256: 6910cb0f8e6c0f583d98c2566790cb4d2f69e290274b8ed61b20cf0e643c21bd
SHA512: c09abf039c623eadae227a9a65c0907c7ace589dc5ffcd5e9d17dbecebde80bec589894b38587e589150deb57b2b028466143ff5d736a0ddf46a9a75333344d8
Homepage: https://cran.r-project.org/package=ctsfeatures
Description: CRAN Package 'ctsfeatures' (Analyzing Categorical Time Series)
 An implementation of several functions for feature extraction in categorical
 time series datasets. Specifically, some features related to marginal
 distributions and serial dependence patterns can be computed. These features
 can be used to feed clustering and classification algorithms for categorical
 time series, among others. The package also includes some interesting
 datasets containing biological sequences. Practitioners from a broad variety
 of fields could benefit from the general framework provided by
 'ctsfeatures'.

Package: r-cran-ctshiny2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable, r-cran-rpart, r-cran-rpart.plot, r-cran-party
Filename: pool/dists/focal/main/r-cran-ctshiny2_0.1.0-1.ca2004.1_all.deb
Size: 70292
MD5sum: 6e5f500df3a1754153b25a91000a49f8
SHA1: 7b616201d66b34d7a78e805ae1c2359b028c4fa7
SHA256: 8f6de1541482f222a9f2b07d752c7d4a8817aeb4fd4ad87f58f9216d131c5d4b
SHA512: 667654c66a819b94ea8e07f78313e0640d8920b18f8124c279afc936fb89e29605085aae46c92104c84bd9c739b2648cf7b4c17498cf48db7b603fb3509c4197
Homepage: https://cran.r-project.org/package=CTShiny2
Description: CRAN Package 'CTShiny2' (Interactive Document for Working with Classification TreeAnalysis)
 An interactive document on the topic of classification tree analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.

Package: r-cran-ctshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable, r-cran-rpart, r-cran-rpart.plot, r-cran-party
Filename: pool/dists/focal/main/r-cran-ctshiny_0.1.0-1.ca2004.1_all.deb
Size: 70172
MD5sum: 10687e336cfd17179514da4efa29c89c
SHA1: 7e042b4d3cf4c92f8d498146802c42ba25ca5bb5
SHA256: fbe8204221d3c21767a506757565eb0729ae22320b3e2e5bb242a088dfff53bc
SHA512: 280986995367a4bd8ee397814f3535d99459e0a96e52a49ba939396e7addeb73e037b3b8dbd932dfb681338b6b2bc54af9260c415d38589cf07fc5b64af6623a
Homepage: https://cran.r-project.org/package=CTShiny
Description: CRAN Package 'CTShiny' (Interactive Document for Working with Classification TreeAnalysis)
 An interactive document on the topic of classification tree analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at <https://kartikeyab.shinyapps.io/CTShiny/>.

Package: r-cran-ctt
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ctt_2.3.3-1.ca2004.1_all.deb
Size: 81444
MD5sum: 5432125d80ca46c99c48d8b2ba05f7ab
SHA1: fcb5b7b8f122f484c20ee79f8b0981740a65fc7e
SHA256: 258f6d2865d7f66f79ee67a83f9e8d43c1c1b418d385ce5504f0dd80342d7980
SHA512: e129ce8accd904a10a5fbf85959d9c8d1cf062c0ec8cfe9a8da1d7825bb11ea48029cd6d3dfa1098fe7588a171b36f7116ae4ecbea4a6178747e723a3b83a874
Homepage: https://cran.r-project.org/package=CTT
Description: CRAN Package 'CTT' (Classical Test Theory Functions)
 A collection of common test and item analyses from a classical test theory
 (CTT) framework. Analyses can be applied to both dichotomous and polytomous
 data. Functions provide reliability analyses (alpha), item statistics,
 disctractor analyses, disattenuated correlations, scoring routines, and
 empirical ICCs.

Package: r-cran-cttinshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ctt, r-cran-shiny, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-cttinshiny_0.1.0-1.ca2004.1_all.deb
Size: 40364
MD5sum: ebe816d9ead7b2e4dd8aef9e25545761
SHA1: b861b987a67e3683c23a180f33ac6ec0ba04b0bf
SHA256: af3f27ad59ab3bcad4cfff9bc1c93454bcd027f550e22e21ae2a1fc95060f974
SHA512: 5cce2854668260aa4228c591e1d77fb41a5fbeaf8c07207999fd2088fac9034550c35ecf74574437f41ec78bc26d77c829b114f75d0167ddb76c2719f716e805
Homepage: https://cran.r-project.org/package=CTTinShiny
Description: CRAN Package 'CTTinShiny' (Shiny Interface for the CTT Package)
 A Shiny interface developed in close coordination with the CTT package,
 providing a GUI that guides the user through CTT analyses.

Package: r-cran-cttshiny
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyace, r-cran-ctt, r-cran-ltm, r-cran-psych
Filename: pool/dists/focal/main/r-cran-cttshiny_0.1-1.ca2004.1_all.deb
Size: 16952
MD5sum: f754a4e87a26786710b51dad06d59e6f
SHA1: 13a1baa218aca55b0cb384ef81c37163c50f80d8
SHA256: 538af8f9e7f97fdd57869d129ad480c62ac3da737952e19f99c3d89c84b74f2b
SHA512: f5a01485df0f9fe82db3de7e036ee8a77d7c4b4c0d516da980d66eb46e047b2d8304cf0dd1a81699959e994add22873c1de096c0947b32fff34f20a77556ca79
Homepage: https://cran.r-project.org/package=CTTShiny
Description: CRAN Package 'CTTShiny' (Classical Test Theory via Shiny)
 Interactive shiny application for running classical test theory (item
 analysis).

Package: r-cran-cttvis
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ctt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cttvis_0.1.1-1.ca2004.1_all.deb
Size: 39952
MD5sum: 053233ccdc21b8605ed37ea1a0fdf023
SHA1: a101f5cd254241622717d13d21ce41f97b2c195b
SHA256: 7aa6865a7ac9f8b2bb7831427b8edb4a6c0b0b3afa8f8d4cf3b1409fd5447806
SHA512: e61e0057125219fa419b5d5e6cdea7bf6d799d75c46fdc74ddf93dfa0a98f6a9c7284365f77b2b2cac058b1f0a1ec285b80034a88c946adcffe758a418c04e38
Homepage: https://cran.r-project.org/package=CTTvis
Description: CRAN Package 'CTTvis' (Visualize Item Metrics of the Classical Test Theory Framework)
 Visualizes results of item analysis such as item difficulty, item
 discrimination, and coefficient alpha for ease of result communication.

Package: r-cran-ctv
Architecture: all
Version: 0.9-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-xml2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ctv_0.9-6-1.ca2004.1_all.deb
Size: 154172
MD5sum: 59f455b263ef611feaea292ec7ce34fa
SHA1: 45db3c9cf083c6237368c9f58566211df66d503f
SHA256: 0b8e53976a94f75ad31510383492eeb1f5abb2d4b76cff196ba8c39531214c69
SHA512: f3c479edbf19c14cf19cd6bf0b8649d390dceee09fe7c5d0c1c8418d33a20e3227f671e6e9ed83dd0f8a18a91f61c6ade2a2096d13cc1e17b9fe37fba1ccd58b
Homepage: https://cran.r-project.org/package=ctv
Description: CRAN Package 'ctv' (CRAN Task Views)
 Infrastructure for task views to CRAN-style repositories: Querying task
 views and installing the associated packages (client-side tools), generating
 HTML pages and storing task view information in the repository (server-side
 tools).

Package: r-cran-ctxcc
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-combinat, r-cran-matrixcalc, r-cran-mvtnorm, r-cran-expm, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-ctxcc_0.2.0-1.ca2004.1_all.deb
Size: 50456
MD5sum: fdeb4b50d18a6301556bdb824c1aa52b
SHA1: 417d935d4e036ba6335c957eef9b505bee214180
SHA256: ad8ce2e842087da9905c2a1d4287a6cf5853074597ca46f68f1b4be6da48faca
SHA512: a8ba9429bbda98ad98572d67a72af9cc37de6753fee925c3db0386d65718d82c50084af3f18069fdd8ac7f1a0d77ff37c7190a8fe009b36b1e1e2eaed080013a
Homepage: https://cran.r-project.org/package=CTxCC
Description: CRAN Package 'CTxCC' (Multivariate Normal Mean Monitoring Through Critical-to-XControl Chart)
 A comprehensive set of functions designed for multivariate mean monitoring
 using the Critical-to-X Control Chart. These functions enable the
 determination of optimal control limits based on a specified in-control
 Average Run Length (ARL), the calculation of out-of-control ARL for a given
 control limit, and post-signal analysis to identify the specific variable
 responsible for a detected shift in the mean. This suite of tools provides
 robust support for precise and effective process monitoring and analysis.

Package: r-cran-ctxr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3476
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-countcolors, r-cran-devtools, r-cran-dt, r-cran-ggplot2, r-cran-gridextra, r-cran-htmltable, r-cran-httptest, r-cran-kableextra, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-rmdformats, r-cran-testthat, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ctxr_1.1.2-1.ca2004.1_all.deb
Size: 1541692
MD5sum: 7b0ad8a5489bd5510752a2278c25ea65
SHA1: eee4b68c29d195dbe6c2e1472f0d518f0a85cd7d
SHA256: 492f14c29dff659534e65fc40bdc981f2528f7710c5110e94be52438cc3bcf45
SHA512: 35ae0032461262dc7f102a0a29717dc44ace2c5ddbd38145103832506cbe955f546c907ee9d706f4a5511bbf573ecc675e3c5bdc2cb643ca292b2c36b3725464
Homepage: https://cran.r-project.org/package=ctxR
Description: CRAN Package 'ctxR' (Utilities for Interacting with the 'CTX' APIs)
 Access chemical, hazard, bioactivity, and exposure data from the
 Computational Toxicology and Exposure ('CTX') APIs
 <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>.
 'ctxR' was developed to streamline the process of accessing the information
 available through the 'CTX' APIs without requiring prior knowledge of how to
 use APIs. Most data is also available on the CompTox Chemical Dashboard
 ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at
 the EPA Computational Toxicology and Exposure Online Resources
 <https://www.epa.gov/comptox-tools>.

Package: r-cran-cuadramelo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cvxr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cuadramelo_1.0.0-1.ca2004.1_all.deb
Size: 75400
MD5sum: 2f7fb7967503d03725868d9494231871
SHA1: 0a86bf624c4a8094c3152b5acc14b00b547a8177
SHA256: 25e9c5af29606d58cc45241010e9e815ae1ce51a8ee611bf62a95c228af7fd88
SHA512: 022aa16326e21d66d7c330383b6713673027c827e5da20d0c15182ab3b9a6315a9f4c17d4aa10b042b3c8ab576bae9a70268306c0bae002b8231ab2701ae119c
Homepage: https://cran.r-project.org/package=cuadramelo
Description: CRAN Package 'cuadramelo' (Matrix Balancing and Rounding)
 Balancing and rounding matrices subject to restrictions. Adjustment of
 matrices so that columns and rows add up to given vectors, rounding of a
 matrix while keeping the column and/or row totals, performing these by
 blocks...

Package: r-cran-cub
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1043
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula
Suggests: r-cran-knitr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-cub_1.1.5-1.ca2004.1_all.deb
Size: 906708
MD5sum: b6953bfac91049c49c8e345e638c42ff
SHA1: 8b17458fe9becabcf27aea827ba5996640145b07
SHA256: 6932edf61c3e1def8da42176565a071895835ac71821c55cc63ec80af097f449
SHA512: 174964d5d50da8f2fcabc6d2b2ffda2c38264c62e85a5462888879ed682777df19a74587b2e121fa752f0b51777bad156f1b085cfdefdc261354ca0eeca7d1ad
Homepage: https://cran.r-project.org/package=CUB
Description: CRAN Package 'CUB' (A Class of Mixture Models for Ordinal Data)
 For ordinal rating data, estimate and test models within the family of CUB
 models and their extensions (where CUB stands for Combination of a discrete
 Uniform and a shifted Binomial distributions); Simulation routines, plotting
 facilities and fitting measures are also provided.

Package: r-cran-cubar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2975
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-bioc-iranges, r-cran-data.table, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cubar_1.1.0-1.ca2004.1_all.deb
Size: 2845224
MD5sum: ff31d6e4f236c2d4b52206336a615c2a
SHA1: 39fc81959071872c14b03c9d03678f3df207a5ad
SHA256: e5c523edbae227ba3637d7e7c8e4ff48bc930c89b616dd2731be5957b7801bc5
SHA512: 9359b724a71cd65b519d1431c13d1f7b2507daa48083450fbcceffd9d51474095dbb9db5d34393ca6e95ef04827d4cf7d35555d0d327670e0fef20d30e40e46b
Homepage: https://cran.r-project.org/package=cubar
Description: CRAN Package 'cubar' (Codon Usage Bias Analysis)
 A suite of functions for rapid and flexible analysis of codon usage bias. It
 provides in-depth analysis at the codon level, including relative synonymous
 codon usage (RSCU), tRNA weight calculations, machine learning predictions
 for optimal or preferred codons, and visualization of codon-anticodon
 pairing. Additionally, it can calculate various gene- specific codon indices
 such as codon adaptation index (CAI), effective number of codons (ENC),
 fraction of optimal codons (Fop), tRNA adaptation index (tAI), mean codon
 stabilization coefficients (CSCg), and GC contents (GC/GC3s/GC4d). It also
 supports both standard and non-standard genetic code tables found in NCBI,
 as well as custom genetic code tables.

Package: r-cran-cubble
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4772
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-lubridate, r-cran-ncdf4, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-tsibble, r-cran-vctrs
Suggests: r-cran-spelling, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-ozmaps, r-cran-ggally, r-cran-ggrepel, r-cran-ggforce, r-cran-purrr, r-cran-stars, r-cran-units, r-cran-leaflet, r-cran-plotly, r-cran-crosstalk, r-cran-concaveman, r-cran-colorspace, r-cran-vdiffr, r-cran-sftime, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-cubble_1.0.0-1.ca2004.1_all.deb
Size: 3530244
MD5sum: 426a26b048797adfeef2a6454865ecc6
SHA1: b25e05afb2e8b931c8d63babe0e31cf90c858d61
SHA256: 2604486cdfcb96e74b4d43d00718dfcfc6408820b36b55f0b7f14823205dea74
SHA512: 5f244582c34e794e8556ecef4f2c04ae3a968a0bbbbe125c3f2cf3c45fd23b70b4031e2f894c12df766aca26b7012c0ca438e271bbde3033220b716542e5f72f
Homepage: https://cran.r-project.org/package=cubble
Description: CRAN Package 'cubble' (A Vector Spatio-Temporal Data Structure for Data Analysis)
 A spatiotemperal data object in a relational data structure to separate the
 recording of time variant/ invariant variables. See the Journal of
 Statistical Software reference: <doi:10.18637/jss.v110.i07>.

Package: r-cran-cubelyr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cubelyr_1.0.2-1.ca2004.1_all.deb
Size: 343012
MD5sum: 3ca7a6dbaa300e4be2f4367da730153a
SHA1: 3e4d03c10d6c26a882eb48e88bd292c66d904804
SHA256: d6e1cff10bd3d89d01d8731b25aca8b17b1314d3f6ef180942df87d3d7cf86c1
SHA512: 7286af5266b5a09d05d85922e6c7c450a2c2a20cde3eff917295c23bbcd655899f701a21fcd272f3903dcfde75ebb40cbb1219ca7a52c6c0847bd2dacef500cc
Homepage: https://cran.r-project.org/package=cubelyr
Description: CRAN Package 'cubelyr' (A Data Cube 'dplyr' Backend)
 An implementation of a data cube extracted out of 'dplyr' for backward
 compatibility.

Package: r-cran-cubeview
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-htmltools, r-cran-htmlwidgets, r-cran-lattice, r-cran-raster, r-cran-stars, r-cran-svglite, r-cran-viridislite
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-cubeview_0.2.4-1.ca2004.1_all.deb
Size: 1151984
MD5sum: b9fd7a98d3b00d14d4023ff9fcd44943
SHA1: c8005f974858766e2c079ff1f71911f783c7b8be
SHA256: 3396d64f9ef7d9c7a9f19937fb800d4b7d92e0e051853b8bb6616f9f0fdef347
SHA512: c503fbdf8b4a011732cc96f617ece5cb7249fb9a46553c773a2fb58050895caa83cf108ff980d4a63d094ad61bb50e4862b2a13c0d6822827fc65c2a1975d333
Homepage: https://cran.r-project.org/package=cubeview
Description: CRAN Package 'cubeview' (View 3D Raster Cubes Interactively)
 Creates a 3D data cube view of a RasterStack/Brick, typically a
 collection/array of RasterLayers (along z-axis) with the same geographical
 extent (x and y dimensions) and resolution, provided by package 'raster'.
 Slices through each dimension (x/y/z), freely adjustable in location, are
 mapped to the visible sides of the cube. The cube can be freely rotated.
 Zooming and panning can be used to focus on different areas of the cube.

Package: r-cran-cucumber
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-withr
Suggests: r-cran-mockery, r-cran-box, r-cran-shinytest2, r-cran-chromote, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-quarto, r-cran-r6, r-cran-pkgdown, r-cran-pkgload
Filename: pool/dists/focal/main/r-cran-cucumber_2.1.0-1.ca2004.1_all.deb
Size: 102600
MD5sum: 598fed4c1acefba20d962da2ada9f86f
SHA1: a0f6f45194380d0b4c61e482a376b4273d39fbef
SHA256: 6d92251c32327393e2c7f6a1d5a2f26aa2f124ebd076df58faa8c7818b0b5464
SHA512: a3ff5c9a81fe00f0ea04f229faa5ff4cac60145ba4c740c855225d30d6ad2303f6aa4ed298728f71413a68eba05eb32b632cfba93adf0d0f80902028602a619a
Homepage: https://cran.r-project.org/package=cucumber
Description: CRAN Package 'cucumber' (Behavior-Driven Development for R)
 Write executable specifications in a natural language that describes how
 your code should behave.  Write specifications in feature files using
 'Gherkin' language and execute them using functions implemented in R.  Use
 them as an extension to your 'testthat' tests to provide a high level
 description of how your code works.

Package: r-cran-cuff
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openxlsx, r-cran-xtable, r-cran-dt, r-cran-lmertest, r-cran-nlme, r-cran-haven, r-cran-dplyr, r-cran-clipr
Filename: pool/dists/focal/main/r-cran-cuff_1.9-1.ca2004.1_all.deb
Size: 111692
MD5sum: 0a3cad9b98c09ab2c8ae11dc8172ee1e
SHA1: 5e380b1b31253140347bd16b89ae2eaec2acf2d4
SHA256: 8137f967e50acc93661e9bbfabe89bf8f03caaf99a72371826fda7a83a5b5938
SHA512: 0bcf8df91d34552f2e0876489e58bdd2770cfc2b7c7f9a8b515a2a5a99b7ae7433e5a17d04d24adf8cb108caa807af59ac64214cfedcf5d2ac8ac16261f6c78f
Homepage: https://cran.r-project.org/package=CUFF
Description: CRAN Package 'CUFF' (Charles's Utility Function using Formula)
 Utility functions that provides wrapper to descriptive base functions like
 cor, mean and table.  It makes use of the formula interface to pass
 variables to functions.  It also provides operators to concatenate (%+%), to
 repeat (%n%) and manage character vectors for nice display.

Package: r-cran-cultevo
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-hmisc, r-cran-pspearman, r-cran-stringi
Suggests: r-cran-memoise, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cultevo_1.0.2-1.ca2004.1_all.deb
Size: 146760
MD5sum: ca12cd3029443a3e97faea48d8181dad
SHA1: 2da7a83a1bcd865d9fdcc2522113e49d7e22f8d0
SHA256: 805d4267cb1ebc098e060d431df67ba9cbf335f267bc11694667c08016232f07
SHA512: d1f0b016e58ed518f9f1fb47e7d808b2d4a632b2806fbcc599e1a99356b4a24ceed278dad012eb17042d97c06fd33001d190a3ecc7d77bc41f10faaf1b9cc87e
Homepage: https://cran.r-project.org/package=cultevo
Description: CRAN Package 'cultevo' (Tools, Measures and Statistical Tests for Cultural Evolution)
 Provides tools for measuring the compositionality of signalling systems (in
 particular the information-theoretic measure due to Spike (2016)
 <http://hdl.handle.net/1842/25930> and the Mantel test for distance matrix
 correlation (after Dietz 1983) <doi:10.1093/sysbio/32.1.21>), functions for
 computing string and meaning distance matrices as well as an implementation
 of the Page test for monotonicity of ranks (Page 1963)
 <doi:10.1080/01621459.1963.10500843> with exact p-values up to k = 22.

Package: r-cran-cump
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cump_2.0-1.ca2004.1_all.deb
Size: 166440
MD5sum: 8e76b3c55150dc7dcbcf361dec1193f9
SHA1: 2bcc00cc0f75dc72420cebb433ccea031b447b3f
SHA256: 0ee6efae2156221c0dda004b2bf3ff2c91110ab7a7c20958196ee87d6ebed167
SHA512: 557bc907ccab25bdf27186a17874938f0339a0ce9b9c362adb8c840beb09b36212788e07be4b0f43ca2b9593ddb3124a70e351d20e670c0d5882af868177f3af
Homepage: https://cran.r-project.org/package=CUMP
Description: CRAN Package 'CUMP' (Analyze Multivariate Phenotypes by Combining Univariate Results)
 Combining Univariate Association Test Results of Multiple Phenotypes for
 Detecting Pleiotropy.

Package: r-cran-cumprinc
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cumprinc_0.1-1.ca2004.1_all.deb
Size: 13636
MD5sum: e337734134889fef9a9b4005be5074ae
SHA1: ce47f87ec52daa8bef792f8bd14168d2fffe5479
SHA256: ee51f1014127c9448673e7e123ebbcffd41f1a34da3dacb836973234244e9b11
SHA512: f3b274b16107f37368cd127bc1faec27a83cdeb7b663c8bef37616e07b46c1b5264afa5fc4bba52fa53d77e47264bc7a7bda102624d3715953690cf06f0b4562
Homepage: https://cran.r-project.org/package=cumprinc
Description: CRAN Package 'cumprinc' (Functions Centered Around Microsoft Excel Cumprinc Function)
 Provides similar functionality to 'Microsoft Excel' 'CUMPRINC' function
 <https://support.microsoft.com/en-us/office/cumprinc-function-94a4516d-bd65-41a1-bc16-053a6af4c04d>.
 Returns principal remaining at a given month, principal paid in a month, and
 accumulated principal paid at a given month based on original loan amount,
 monthly interest rate, and term of loan.

Package: r-cran-cumseg
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-cumseg_1.3-1.ca2004.1_all.deb
Size: 177076
MD5sum: 04bec5ad7618933790d840a1f088b4b9
SHA1: 584fe50bb21f3414d8a8afeb428482440ab8b96b
SHA256: 7167fc18e9972b2a233b5d8b079c9fb669f50e0706ac531182f46b3aa22feacf
SHA512: f26cfaac0a1271864f690a17c16b7d73c3dcbd79cc47c712e45a4323b874ab8de4088aa565bc3adafd2af09e32f3853b027e8ea27e0c45ddd2c19b08051608a2
Homepage: https://cran.r-project.org/package=cumSeg
Description: CRAN Package 'cumSeg' (Change Point Detection in Genomic Sequences)
 Estimation of number and location of change points in mean-shift (piecewise
 constant) models. Particularly useful (but not confined) to model genomic
 sequences of continuous measurements.

Package: r-cran-cumstats
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cumstats_1.0-1.ca2004.1_all.deb
Size: 40612
MD5sum: 8de0cb638d8b7c59d7b0e84c5c928131
SHA1: 81fccaea718f670f24f337902af0b16076dcf243
SHA256: 3418c334da5c852f3e90777a61034e7eefe8061851ed27a461192a5ff37aac80
SHA512: 7d9cbede8007200aea430ad62096dd942d415737e61e4819f21c13381476d5aea429aeb3d53c1f1a48d68dfa51626dd5853a097935d6cfba9a988085283ea846
Homepage: https://cran.r-project.org/package=cumstats
Description: CRAN Package 'cumstats' (Cumulative Descriptive Statistics)
 Cumulative descriptive statistics for (arithmetic, geometric, harmonic)
 mean, median, mode, variance, skewness and kurtosis.

Package: r-cran-cumulcalib
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-predtools, r-cran-rmarkdown, r-cran-markdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cumulcalib_0.0.1-1.ca2004.1_all.deb
Size: 90016
MD5sum: 770c18b21b993afc5e18e74905d6bfaf
SHA1: ec83d034aed2e4377d1ee9e8c19f31ec5adeb7de
SHA256: f91df122afab3e00fccd47f6ce69ab1f35c3c163fee952758eb5c47b2756c1d3
SHA512: 039e8a41fecbdf92e6d6baf8c73149bf3f11bfee61eb4ce7e5482d18f4b3654f245c909679b9b48b8f47ba011f3c31572165113fcfe886352cc7637279ccec44
Homepage: https://cran.r-project.org/package=cumulcalib
Description: CRAN Package 'cumulcalib' (Cumulative Calibration Assessment for Prediction Models)
 Tools for visualization of, and inference on, the calibration of prediction
 models on the cumulative domain. This provides a method for evaluating
 calibration of risk prediction models without having to group the data or
 use tuning parameters (e.g., loess bandwidth). This package implements the
 methodology described in Sadatsafavi and Patkau (2024)
 <doi:10.1002/sim.10138>. The core of the package is cumulcalib(), which
 takes in vectors of binary responses and predicted risks. The plot() and
 summary() methods are implemented for the results returned by cumulcalib().

Package: r-cran-cumulocityr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 737
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cumulocityr_0.1.0-1.ca2004.1_all.deb
Size: 250136
MD5sum: ba987e3809a6db513f56c3733f3a1949
SHA1: ab5fce5b1cbaaf219fabde4112249b73a055d175
SHA256: f432dff3c9258b5113f89d04f5d4a6b0fc5a1e4434e62017e504f724db93e851
SHA512: acd0e85e9477e7be9c2897f8a29aaaa0b504cb117a3c4fa0431412c9e9012f7d5745748020e5add53cce01ad4f39a429e0213c2fa6e52b9f2f74d96d1fb285d5
Homepage: https://cran.r-project.org/package=cumulocityr
Description: CRAN Package 'cumulocityr' (Client for the 'Cumulocity' API)
 Access the 'Cumulocity' API and retrieve data on devices, measurements, and
 events. Documentation for the API can be found at
 <https://www.cumulocity.com/guides/reference/rest-implementation/>.

Package: r-cran-cuperdec
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3442
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cuperdec_1.1.0-1.ca2004.1_all.deb
Size: 1337032
MD5sum: afbb6aa099de5bd9ef6a4de7fc892d73
SHA1: 2b80f4e07ed6f7eda2cc64496044ba5a544aa859
SHA256: 972126eca1c92a0c3359c5c7869bf06d818bfbd10b0c60d2d260a236e392b27c
SHA512: 98174dfe3154d14a4a7c610c3db8735a1126186929999d53bb871d376c550047f4005b0bca667a7ed2e7ef975a28c3e63959e815d1361c16daaa5507007f2275
Homepage: https://cran.r-project.org/package=cuperdec
Description: CRAN Package 'cuperdec' (Cumulative Percent Decay Curve Generator)
 Calculates and visualises cumulative percent 'decay' curves, which are
 typically calculated from metagenomic taxonomic profiles.  These can be used
 to estimate the level of expected 'endogenous' taxa at different abundance
 levels retrieved from metagenomic samples, when comparing to samples of
 known sampling site or source. Method described in Fellows Yates, J. A. et.
 al. (2021) Proceedings of the National Academy of Sciences USA
 <doi:10.1073/pnas.2021655118>.

Package: r-cran-cure
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-rstpm2, r-cran-date, r-cran-numderiv, r-cran-statmod, r-cran-relsurv, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-cure_1.1.1-1.ca2004.1_all.deb
Size: 1077820
MD5sum: a88397a0a8deae10028a803f291324ec
SHA1: df09da460f29c07cb9e9b313b28700d70aa34462
SHA256: 05ef224c88420483c87f5939dcf190e7498d4573a290d39cd00218ab2a57ef4f
SHA512: fb7ef29242579d2abc8375f3409bd849308160dbac1b40e7ad63a49a9facdf7f898e4c1400130f8867c9c2dad31a0c0190aa5113eeb6ea43ae68086e6b69c3e8
Homepage: https://cran.r-project.org/package=cuRe
Description: CRAN Package 'cuRe' (Parametric Cure Model Estimation)
 Contains functions for estimating generalized parametric mixture and
 non-mixture cure models <doi:10.1016/j.cmpb.2022.107125>, loss of lifetime,
 mean residual lifetime, and crude event probabilities.

Package: r-cran-cureauxsp
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-lars, r-cran-mvtnorm, r-bioc-tcgabiolinks
Filename: pool/dists/focal/main/r-cran-cureauxsp_0.0.1-1.ca2004.1_all.deb
Size: 61516
MD5sum: 61b700b7241673f8dfe23138a870e02a
SHA1: d5c52ef3ebae95ca27ef3a6060cf5d4c8ca2cc4e
SHA256: ddf60147576da1448a57577fa6d82bb91e7f9b5e1aa1827ec854d9904ac6fd69
SHA512: d048ef99f798e8ede3341641f726dfb0c9b63276b58c451ddb2cfc706288474c11945dfd40e3ec405472fe55c48b4b39c3e0e9c435d3df1a6cc7250b3161a0ef
Homepage: https://cran.r-project.org/package=CureAuxSP
Description: CRAN Package 'CureAuxSP' (Mixture Cure Models with Auxiliary Subgroup SurvivalProbabilities)
 Estimate mixture cure models with subgroup survival probabilities as
 auxiliary information. A reference of the underlying methods is Jie Ding,
 Jialiang Li and Xiaoguang Wang (2024) <doi:10.1093/jrsssc/qlad106>.

Package: r-cran-curedepcens
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dlm, r-cran-formula, r-cran-rootsolve, r-cran-survival, r-cran-matrixstats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-curedepcens_0.1.0-1.ca2004.1_all.deb
Size: 139496
MD5sum: c16fbbc5da352ad0b9a715657020fd0c
SHA1: 653a910d97c98e51b33a217e0a1ab9c026d4fd9a
SHA256: ab04ccb748288266399a7c74c02e992b0835ab89e7dbc275be51579e296a3b7b
SHA512: c1820665fa399ca689cb33d0f7cbfd4532b87e9b4df7ef8e4b38463209672b1dd1ed6ac33dc8faf11c472e573750bf6ca66fc65b80503c88d19d602c01983edb
Homepage: https://cran.r-project.org/package=CureDepCens
Description: CRAN Package 'CureDepCens' (Dependent Censoring Regression Models with Cure Fraction)
 Cure dependent censoring regression models for long-term survival
 multivariate data. These models are based on extensions of the frailty
 models, capable to accommodating the cure fraction and the dependence
 between failure and censoring times, with Weibull and piecewise exponential
 marginal distributions. Theoretical details regarding the models implemented
 in the package can be found in Schneider et al. (2022)
 <doi:10.1007/s10651-022-00549-0>.

Package: r-cran-curephem
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xfun, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-curephem_0.3.0-1.ca2004.1_all.deb
Size: 147576
MD5sum: 8fcbac430a6b58172e0965cc9433bb01
SHA1: cef919a86a9e63bac50704608c94e6824fc62ca7
SHA256: 8ca1b0a4325e7bb77044cd24383b2c0a2967c3e957130c983d2bb543b67bade4
SHA512: eb6c97e7a46b344a772a6251f0a8476dc605bfd8cce62e407e9442639278e44e9527871f70a94f0fcfe80ea019fb65238053764728cd931b0eb60e216624ec03
Homepage: https://cran.r-project.org/package=curephEM
Description: CRAN Package 'curephEM' (NPMLE for Logistic-Cox Cure-Rate Model)
 Expectation-Maximization (EM) algorithm for point estimation and variance
 estimation to the nonparametric maximum likelihood estimator (NPMLE) for
 logistic-Cox cure-rate model with left truncation and right- censoring. See
 Hou, Chambers and Xu (2017) <doi:10.1007/s10985-017-9415-2>.

Package: r-cran-cureplots
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cureplots_1.1.1-1.ca2004.1_all.deb
Size: 69516
MD5sum: 3d4f5f2e4d872b02b0373f148483c85d
SHA1: e78c036e7f0d0dfe916135e8464f57ccf33c02ae
SHA256: 4e1bddaaae61b1b687a1787ce4304889c44394e94d79bc5075cea49f22f0b333
SHA512: 330e258fc0927873a67f6aed5209f7a4011c9d97c2a8c4004993edb575f4c75eabef4351f2bdf90d81c39649c66dbae4cb401cf03562474f2087e9ef944b6da5
Homepage: https://cran.r-project.org/package=cureplots
Description: CRAN Package 'cureplots' (CURE (Cumulative Residual) Plots)
 Creates 'ggplot2' Cumulative Residual (CURE) plots to check the
 goodness-of-fit of a count model; or the tables to create a customized
 version. A dataset of crashes in Washington state is available for
 illustrative purposes.

Package: r-cran-curesurv
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4087
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-survival, r-cran-numderiv, r-cran-randtoolbox, r-cran-bbmle, r-cran-optimx, r-cran-formula, r-cran-deriv, r-cran-statmod
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-xhaz, r-cran-survexp.fr
Filename: pool/dists/focal/main/r-cran-curesurv_0.1.2-1.ca2004.1_all.deb
Size: 1924068
MD5sum: d7f5e41322e91fc8cbdd36535d166fcb
SHA1: cfe73ef1fee8f19807b2b5e95e695e58a93b9eb8
SHA256: d4334068a8e0224f27870f5560ff5e48e081ffddf86e97f82842617857d67211
SHA512: adfe98d6cba5a1472011d5f05b0b6a10c5d993c436ab73fb9bf9edf014d64bdaaa50843d4552a2acf5ab676b755aafb87cd3c4f15d175806ab5be830b827143b
Homepage: https://cran.r-project.org/package=curesurv
Description: CRAN Package 'curesurv' (Mixture and Non Mixture Parametric Cure Models to Estimate CureIndicators)
 Fits a variety of cure models using excess hazard modeling methodology such
 as the mixture model proposed by Phillips et al. (2002)
 <doi:10.1002/sim.1101> The Weibull distribution is used to represent the
 survival function of the uncured patients; Fits also non-mixture cure model
 such as the time-to-null excess hazard model proposed by Boussari et al.
 (2020) <doi:10.1111/biom.13361>.

Package: r-cran-currencyapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-currencyapi_0.1.0-1.ca2004.1_all.deb
Size: 32776
MD5sum: 77594fb101ac487f5204b56ae823334e
SHA1: aeeec50707d1fc5cb8c78183dfed280ede42ab27
SHA256: e4fc70c06c2c725e49de63b9cb9899e31db624d1971cef5812701efbf5b833b1
SHA512: bab39a6e717729efbefcb6dfaf1a85ba1ce3fe8d3b629321a815a8f124267c908477bdc641abdad264d354f824ff686bea047acb8c033e88e7a614f8cf96537d
Homepage: https://cran.r-project.org/package=currencyapi
Description: CRAN Package 'currencyapi' (Client for the 'currencyapi.com' Currency Conversion API)
 An R client for the 'currencyapi.com' currency conversion API. The API
 requires registration of an API key. Basic features are free, some require a
 paid subscription. You can find the full API documentation at
 <https://currencyapi.com/docs> .

Package: r-cran-currentsurvival
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-cmprsk
Filename: pool/dists/focal/main/r-cran-currentsurvival_1.1-1.ca2004.1_all.deb
Size: 158992
MD5sum: 5bc540d68cec4e86426e44d0814dd1bf
SHA1: 000f4337e0ea7c216979e247506128c8079ceddb
SHA256: 2f3def0511d4e06867878acb39917edb7b1134bbbb4030fce90efdf677696020
SHA512: abcbb92bb5878c7da88a89fcb5427e75893e7861d4f112e076b4ec9c9760661ec9cb3172f68c0aa6ef772cfb22b043255b9269ec02523bc02489d2e916875ef4
Homepage: https://cran.r-project.org/package=currentSurvival
Description: CRAN Package 'currentSurvival' (Estimation of CCI and CLFS Functions)
 The currentSurvival package contains functions for the estimation of the
 current cumulative incidence (CCI) and the current leukaemia-free survival
 (CLFS). The CCI is the probability that a patient is alive and in any
 disease remission (e.g. complete cytogenetic remission in chronic myeloid
 leukaemia) after initiating his or her therapy (e.g.  tyrosine kinase
 therapy for chronic myeloid leukaemia). The CLFS is the probability that a
 patient is alive and in any disease remission after achieving the first
 disease remission.

Package: r-cran-curricularanalytics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-curricularanalytics_1.0.0-1.ca2004.1_all.deb
Size: 266320
MD5sum: 2a21ff3b035365142434b0a676e5e1aa
SHA1: 792ab9c4f64b36eea4049e654d63e1248790a31e
SHA256: 98182a6c9fdff383426281a0c6aa98d1d29615ba28941bb24194497d904db558
SHA512: d751f85e844438b2d0fe3cae2404b2d629cd4f8bb8a94d88480f1a25a3bdf33a3f9109b1fb444a659efe238836dacedff881d9c02f9c8c109d15bd2355349da6
Homepage: https://cran.r-project.org/package=CurricularAnalytics
Description: CRAN Package 'CurricularAnalytics' (Exploring and Analyzing Academic Curricula)
 Provides an implementation of ‘Curricular Analytics’, a framework for
 analyzing and quantifying the complexity of academic curricula. Curricula
 are modelled as directed acyclic graphs and analytics are provided based on
 path lengths and edge density. This work directly comes from Heileman et al.
 (2018) <doi:10.48550/arXiv.1811.09676>.

Package: r-cran-currr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-stringr, r-cran-broom, r-cran-pacman, r-cran-tibble, r-cran-clisymbols, r-cran-job, r-cran-rstudioapi, r-cran-scales, r-cran-purrr, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-currr_0.1.2-1.ca2004.1_all.deb
Size: 81992
MD5sum: 4061d828db4d492f044ed95c9e985fbd
SHA1: 59449bc1fc49deebd80ecba22eb0765ad6a111a1
SHA256: 8bc4f70a15b976812371ec4c80c8ad86813c27a2d4de04c341f30b1738eb8adc
SHA512: 6361533ba8de49bfa6a46788360cbcf0f9ff50a33086921894b31c74ab19e6e2a46f69f192b749e0c2f3eda339ba57598d10d153671a520b2b29482b5a44c6d4
Homepage: https://cran.r-project.org/package=currr
Description: CRAN Package 'currr' (Apply Mapping Functions in Frequent Saving)
 Implementations of the family of map() functions with frequent saving of the
 intermediate results. The contained functions let you start the evaluation
 of the iterations where you stopped (reading the already evaluated ones from
 cache), and work with the currently evaluated iterations while remaining
 ones are running in a background job. Parallel computing is also easier with
 the workers parameter.

Package: r-cran-curry
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-curry_0.1.1-1.ca2004.1_all.deb
Size: 22880
MD5sum: 95de0d4b14eb00dfb4b5515e428bd2fa
SHA1: 246ce04f478a36305d12905eca91dbef1990dd1f
SHA256: 6c4cafa20bc6c4acbe64c4a4271702d12e5d12e9981b4c925582bf190f9804ca
SHA512: 72c94aa0663301920acee0be06a9c015f3e17f3643029b415228feea30d7b6bece61f6f373de22e0548037bec21703fec9a9ec448a19cf772f831b1b9225ffb8
Homepage: https://cran.r-project.org/package=curry
Description: CRAN Package 'curry' (Partial Function Application with %<%, %-<%, and %><%)
 Partial application is the process of reducing the arity of a function by
 fixing one or more arguments, thus creating a new function lacking the fixed
 arguments. The curry package provides three different ways of performing
 partial function application by fixing arguments from either end of the
 argument list (currying and tail currying) or by fixing multiple named
 arguments (partial application). This package provides this functionality
 through the %<%, %-<%, and %><% operators which allows for a programming
 style comparable to modern functional languages. Compared to other
 implementations such a purrr::partial() the operators in curry composes
 functions with named arguments, aiding in autocomplete etc.

Package: r-cran-cursr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keypress
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cursr_0.1.0-1.ca2004.1_all.deb
Size: 209180
MD5sum: 4553cc86eca928abdd97b02257c25fdd
SHA1: df80e697c0cfa94835ed8693714b315c65eb3a22
SHA256: 479464e1bbbba00e222a464cd67bed758dc0e84c0ed231e85f54650567186f45
SHA512: 5ab0f4de92792090d8ace9e630a877028d8083a21920cd6135f1cf3aaebec4dbc8f8a44c65d3e682a78fc19d34a3d3f644842ceeabd498c81603ae7fdf299c18
Homepage: https://cran.r-project.org/package=cursr
Description: CRAN Package 'cursr' (Cursor and Terminal Manipulation)
 A toolbox for developing applications, games, simulations, or agent-based
 models in the R terminal. Included functions allow users to move the cursor
 around the terminal screen, change text colors and attributes, clear the
 screen, hide and show the cursor, map key presses to functions, draw shapes
 and curves, among others. Most functionalities require users to be in a
 terminal (not the R GUI).

Package: r-cran-curtailment
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-ggthemes, r-cran-data.table, r-cran-pkgcond
Filename: pool/dists/focal/main/r-cran-curtailment_0.2.6-1.ca2004.1_all.deb
Size: 342788
MD5sum: b15bb7cdb327834a5c6eb2b0a84fde23
SHA1: 325af0faa55cdc3d080664f39635707073192084
SHA256: 58ce2e22cf338926a34b086dcda87650ba7c0e953e79854901442b29cde731d7
SHA512: b772b56d22fa1e19339be8ae4a58fc2b9f9588ca8dc46a6325e05d5d90be5df50e7883dfcce05e9e8aa12e97319e2eea444b430bf90c59b11507ae33a4282d75
Homepage: https://cran.r-project.org/package=curtailment
Description: CRAN Package 'curtailment' (Finds Binary Outcome Designs Using Stochastic Curtailment)
 Finds single- and two-arm designs using stochastic curtailment, as described
 by Law et al. (2022) <doi:10.1080/10543406.2021.2009498> and Law et al.
 (2021) <doi:10.1002/pst.2067> respectively. Designs can be single-stage or
 multi-stage. Non-stochastic curtailment is possible as a special case.
 Desired error-rates, maximum sample size and lower and upper anticipated
 response rates are inputted and suitable designs are returned with operating
 characteristics. Stopping boundaries and visualisations are also available.
 The package can find designs using other approaches, for example designs by
 Simon (1989) <doi:10.1016/0197-2456(89)90015-9> and Mander and Thompson
 (2010) <doi:10.1016/j.cct.2010.07.008>. Other features: compare and
 visualise designs using a weighted sum of expected sample sizes under the
 null and alternative hypotheses and maximum sample size; visualise any
 binary outcome design.

Package: r-cran-curvecomp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-curvecomp_0.1.0-1.ca2004.1_all.deb
Size: 48704
MD5sum: be44a55afee54a6023e4b45707cfe235
SHA1: 1aff08d95287f62177c6cbcec91feced87e6a8f4
SHA256: 90cce28e4f11ff5b8ee0ccb9cd69efc7ce4e571804f90d8242e28b0ef694dae3
SHA512: 7fb7512316165a56593dde7faa62e00a282fce44177bc7b84efc532d649db63ba4c89324d5761d4cd7835fdc94c786ef7d4cd322e13f37939ba70406c6455aa0
Homepage: https://cran.r-project.org/package=curvecomp
Description: CRAN Package 'curvecomp' (Multiple Curve Comparisons Using Parametric Bootstrap)
 Performs multiple comparison procedures on curve observations among
 different treatment groups. The methods are applicable in a variety of
 situations (such as independent groups with equal or unequal sample sizes,
 or repeated measures) by using parametric bootstrap. References to these
 procedures can be found at Konietschke, Gel, and Brunner (2014)
 <doi:10.1090/conm/622/12431> and Westfall (2011)
 <doi:10.1080/10543406.2011.607751>.

Package: r-cran-curvir
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-abind, r-cran-cvtools, r-cran-pbapply, r-cran-pso, r-cran-mgcv, r-cran-qgam, r-cran-quantregforest, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-curvir_0.1.1-1.ca2004.1_all.deb
Size: 134784
MD5sum: c4595bcc34c33019c469c8c0c16e416f
SHA1: 990687d4c1923bf1322a94dacce80c71a11e43e4
SHA256: 131cb8341058a4f00ece3b039e2b44ac4185596a1d1b6b4305aec6c49e3ea6ed
SHA512: bec93fdc5bb41ba6afe705de5de2b0f51c15d5c6e2393e01a0d0090e55436e556881f229c1e9ea5d7ed179d1bce1c14800655212358e1ebd5cb5379a59f85c2e
Homepage: https://cran.r-project.org/package=curvir
Description: CRAN Package 'curvir' (Specify Reserve Demand Curves)
 Automatic specification and estimation of reserve demand curves for central
 bank operations. The package can help to choose the best demand curve and
 identify additional explanatory variables. Various plot and predict options
 are included. For more details, see Chen et al. (2023)
 <https://www.imf.org/en/Publications/WP/Issues/2023/09/01/Modeling-the-Reserve-Demand-to-Facilitate-Central-Bank-Operations-538754>.

Package: r-cran-custom.gauss.quad
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-custom.gauss.quad_1.0.0-1.ca2004.1_all.deb
Size: 47076
MD5sum: 3aa9a04cda5af2be9d7a6fd7c4592f04
SHA1: 2b590d36a06bb35bebc26babe54acefdb0d886e9
SHA256: eb5815853f28a64886cff2b1a9b06673eaff84b52ad60b759e663416e114669b
SHA512: c9ede5a23c3cdf6d43fa5015e2ee8656b7f8656d22623e6aa753b9cd4a205825ac744d641e50b92bd3e02f0ef342b879b7eff2864d2441bef876a2bace3d0fe6
Homepage: https://cran.r-project.org/package=custom.gauss.quad
Description: CRAN Package 'custom.gauss.quad' (Custom Made Gauss Quadrature Nodes and Weights)
 Use the high-precision arithmetic provided by the R package 'Rmpfr' to
 compute a custom-made Gauss quadrature nodes and weights, with up to 33
 nodes, using a moment-based method via moment determinants. Paul Kabaila
 (2022) <arXiv:2211.04729>.

Package: r-cran-customderivative
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6
Filename: pool/dists/focal/main/r-cran-customderivative_0.1.1-1.ca2004.1_all.deb
Size: 50332
MD5sum: b6200494e5a50f0af1766086112124b0
SHA1: 9814b3690290485da756459836fe43c21085a832
SHA256: 34cc5e96438d241225f99f7a36e51ef0073c90a42ededfc6bc2eb6aa80e40ef0
SHA512: 42c8b33822c3ccbd8a4f81c94525f02997eef4a7d768f2ea407a44581934da65b26d89a5ed7d00b256afb691d371608fa0fe6ca16e575a015870526748c11587
Homepage: https://cran.r-project.org/package=CustomDerivative
Description: CRAN Package 'CustomDerivative' (Pricing Various Types of Custom Derivatives)
 A versatile R package for creating and pricing custom derivatives to suit
 your financial needs.

Package: r-cran-customerscoringmetrics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-customerscoringmetrics_1.0.0-1.ca2004.1_all.deb
Size: 72324
MD5sum: 7ab5ea6b611f02082a5b58850f835c64
SHA1: 3555dd62d34db3e58057676a9d8b481577c40382
SHA256: c480ff8c3126c134d0b0e3cda8ef61ec2991e1160c6fe101125f276478754f24
SHA512: 595c0b4604cf366e688602a50b039803cba632c22692c5310808880abcbb7afb812687456ea551da6cafbcd1dc611f288f9b3cd3756a0957191a93f55da10cfe
Homepage: https://cran.r-project.org/package=CustomerScoringMetrics
Description: CRAN Package 'CustomerScoringMetrics' (Evaluation Metrics for Customer Scoring Models Depending onBinary Classifiers)
 Functions for evaluating and visualizing predictive model performance
 (specifically: binary classifiers) in the field of customer scoring. These
 metrics include lift, lift index, gain percentage, top-decile lift,
 F1-score, expected misclassification cost and absolute misclassification
 cost. See Berry & Linoff (2004, ISBN:0-471-47064-3), Witten and Frank (2005,
 0-12-088407-0) and Blattberg, Kim & Neslin (2008, ISBN:978–0–387–72578–9)
 for details. Visualization functions are included for lift charts and gain
 percentage charts. All metrics that require class predictions offer the
 possibility to dynamically determine cutoff values for transforming
 real-valued probability predictions into class predictions.

Package: r-cran-customiser
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-rmarkdown, r-cran-knitr, r-cran-rlang, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-customiser_0.1.1-1.ca2004.1_all.deb
Size: 17580
MD5sum: e777a01c9ea56b9c803b298fec4d34e1
SHA1: 4795d6ea5e8387d5b7cbc065d5ce6e9480441e0c
SHA256: f05e3db9ebaf8d1a7ff05d2f98d0b6c66324af54b5c4efa6ce3506b82425940f
SHA512: b7a0c0f4e28d17038e26307e5cc41274755e3b102e1307ad78153c8838c558043be1c8edf4290f7c18eb74771012fbc53b23d3c14552fe55564e84b26c903791
Homepage: https://cran.r-project.org/package=customiser
Description: CRAN Package 'customiser' (Use R Markdown to Write your "Rprofile")
 A simple way to write ".Rprofile" code in an R Markdown file and have it
 knit to the correct location for your operating system.

Package: r-cran-customizedtraining
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fnn, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-customizedtraining_1.3-1.ca2004.1_all.deb
Size: 94252
MD5sum: 863401b119e9216d676a32d913737f31
SHA1: 7b44e3d99b949ad1ebbda61e1ad90d55778588ef
SHA256: 1c93085a0a38259c9bf5b34cd9f66b6a9d4496636a07d0ae29225ab8ebad1805
SHA512: adef7b7cee14f82ed9d980e63f9e50275c1f242236cb922260169f7023117868540156567b7cdc64cb2686b37b2d05bf2229f2b366f466cf2ccda05bc8da1002
Homepage: https://cran.r-project.org/package=customizedTraining
Description: CRAN Package 'customizedTraining' (Customized Training for Lasso and Elastic-Net RegularizedGeneralized Linear Models)
 Customized training is a simple technique for transductive learning, when
 the test covariates are known at the time of training. The method identifies
 a subset of the training set to serve as the training set for each of a few
 identified subsets in the training set. This package implements customized
 training for the glmnet() and cv.glmnet() functions.

Package: r-cran-customsteps
Architecture: all
Version: 0.7.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-recipes, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-purrr, r-cran-tidyselect, r-cran-generics, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-customsteps_0.7.1.0-1.ca2004.1_all.deb
Size: 46656
MD5sum: 8f9b029059858e6f637f22ecf0523dc8
SHA1: 80ff3a5f378c48c272bee7f59183b48882420494
SHA256: c73e82e8d200ae9a3c1382e32ac32585a11b77c7515b5cf81ec7e3203c537bb7
SHA512: cdf93bf8e852dedac2771a66b00f36bd802f5ec26ae9549e4451050a8badc24c2f765b6a7cf1fb885fabed034f13e7297a7abe61d0734770bf0b43a94ac0d40f
Homepage: https://cran.r-project.org/package=customsteps
Description: CRAN Package 'customsteps' (Customizable Higher-Order Recipe Step Functions)
 Customizable higher-order recipe step functions for the 'recipes' package.
 These step functions take 'prep' and 'bake' helper functions as inputs and
 create specifications of customized recipe steps as output.

Package: r-cran-custosascensor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-custosascensor_0.1.0-1.ca2004.1_all.deb
Size: 54328
MD5sum: af82608832a9cf8f49478228be0d6c10
SHA1: c1c24d99bc370d615e9c3d040375f28014d0822a
SHA256: dd07c3c3a3557f95e8fad484830e75d937b2d2f174d393fc7c421b32d471640d
SHA512: d30031fd1facc2f242d747c633d95f448ad80c372e0c046f5ff67e15dd93f93d5e6b46eac886a56d85be639860cea2ae306d649f1b62a36700a04ae50120cb77
Homepage: https://cran.r-project.org/package=CustosAscensor
Description: CRAN Package 'CustosAscensor' (Costs Allocation for the Installation of an Elevator)
 Calculate the distribution of costs for the installation of an elevator
 based on the different distribution rules.

Package: r-cran-cusumcharter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-ggplot2, r-cran-data.table
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cusumcharter_0.1.0-1.ca2004.1_all.deb
Size: 225204
MD5sum: 4d25962bfdff33f1617982b542d5e14a
SHA1: 4d71d6815b46dbdf2507b79a4c89a4b7b48969f6
SHA256: 32f6befd22870d7eb08f40da67c567a284b91703ffcf04e39329d8be245991db
SHA512: ca53c28da48707ee6fa656a992eb700680d5c0721966dc3c01a247ed6002cfe2cccda69ddfb76e1cb61c3164483dedd0d96ec8cac99c813063b90dce3e934596
Homepage: https://cran.r-project.org/package=cusumcharter
Description: CRAN Package 'cusumcharter' (Easier CUSUM Control Charts)
 Create CUSUM (cumulative sum) statistics from a vector or dataframe.  Also
 create single or faceted CUSUM control charts, with or without control
 limits.  Accepts vector, dataframe, tibble or data.table inputs.

Package: r-cran-cutoff
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-set, r-cran-do, r-cran-rocit
Filename: pool/dists/focal/main/r-cran-cutoff_1.3-1.ca2004.1_all.deb
Size: 54228
MD5sum: 4a287eedc2d4b2a8f3211669f8f148d3
SHA1: 6a549f7be53a7998c0404e4be58049b808677f1b
SHA256: 1dcae3574995572b10f1549e2e0fca9ed6fce53467030e50a771589a41c7bb47
SHA512: 3264291323bcb292933968cddc9e50392e926984ddaae03a2ba110292e5d37e6633c6c364655327fa2b3b5a20d9b6840908ca77c86a90bfbf382653d1726ac08
Homepage: https://cran.r-project.org/package=cutoff
Description: CRAN Package 'cutoff' (Seek the Significant Cutoff Value)
 Seek the significant cutoff value for a continuous variable, which will be
 transformed into a classification, for linear regression, logistic
 regression, logrank analysis and cox regression. First of all, all
 combinations will be gotten by combn() function. Then n.per argument,
 abbreviated of total number percentage, will be used to remove the
 combination of smaller data group. In logistic, Cox regression and logrank
 analysis, we will also use p.per argument, patient percentage, to filter the
 lower proportion of patients in each group. Finally, p value in regression
 results will be used to get the significant combinations and output relevant
 parameters. In this package, there is no limit to the number of cutoff
 points, which can be 1, 2, 3 or more. Still, we provide 2 methods, typical
 Bonferroni and Duglas G (1994) <doi: 10.1093/jnci/86.11.829>, to adjust the
 p value, Missing values will be deleted by na.omit() function before
 analysis.

Package: r-cran-cutoffr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-cutoffr_1.0-1.ca2004.1_all.deb
Size: 276200
MD5sum: 00f7298a522dac3adc0d3b4c742be0be
SHA1: 0b489b623a9b5835540084ba96d8032c9054d706
SHA256: 6b2199742d2de046acfdc2d3e630b8aa9c7246487722ee3a5c03846b6ffa45be
SHA512: 456083d709816ada047377bb84b9154d759ce29214b71b5dc5abe75dcf0921df3b4a1c082b5626e7b489d28c87d6f12196f4f97e7a23322f930a570a3ca71c23
Homepage: https://cran.r-project.org/package=cutoffR
Description: CRAN Package 'cutoffR' (CUTOFF: A Spatio-temporal Imputation Method)
 This package provides a set of tools for spatio-temporal imputation in R. It
 includes the implementation for then CUTOFF imputation method, a useful
 cross-validation function that can be used not only by the CUOTFF method but
 also by some other imputation functions to help choosing an optimal value
 for relevant parameters, such as the number of k-nearest neighbors for the
 KNN imputation method, or the number of components for the SVD imputation
 method. It also contains tools for simulating data with missing values with
 respect to some specific missing pattern, for example, block missing. Some
 useful visualisation functions for imputation purposes are also provided in
 the package.

Package: r-cran-cutools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cutools_0.1.0-1.ca2004.1_all.deb
Size: 27940
MD5sum: cd8daf7f54e9aa4eee6ddc07e99f61aa
SHA1: 9e1d094ddd59a2dc9a5f44fe31869758d6b66ecc
SHA256: 10c2d98ac96361644e76b6120c871fa238862d64f4df7ea5440183f29e5d17c9
SHA512: e9a94e4506ce6853e43f6167c0d9df1e8f12a0984342eb3c2bc501f5d9c7bc0e30789c6cb66f1015a36ba31f7c66b2f62f78a21f89512d477fbb37594e75d2d9
Homepage: https://cran.r-project.org/package=CUtools
Description: CRAN Package 'CUtools' (Clinical Utility Tools to Analyze a Predictive Model)
 Package to analyze the clinical utility of a biomarker. It provides the
 clinical utility curve, clinical utility table, efficacy of a biomarker,
 clinical efficacy curve and tests to compare efficacy between markers.

Package: r-cran-cutpoint
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1143
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-plotly, r-cran-rcppalgos, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cutpoint_1.0.0-1.ca2004.1_all.deb
Size: 1106160
MD5sum: 53138e32bd96867965f88342f083978d
SHA1: 79f1cb60138a1645feb8b3dfd87203b5a35e3207
SHA256: 2ad437b4b5788bcdca9bcd75e2cb124fb3d797ec08851dda818b034daf2277b4
SHA512: 93c2fd6f020d77873789fc3ccfa2cb80bbfe9882bb3235d7dbcc0d6191adfa90cdfeb5613ccd6dd65a2614deb516d42f658bb06cefe7ecd793fec6e407ba9c8d
Homepage: https://cran.r-project.org/package=cutpoint
Description: CRAN Package 'cutpoint' (Estimate Cutpoints of Metric Variables in the Context of CoxRegression)
 Estimate one or two cutpoints of a metric or ordinal-scaled variable in the
 multivariable context of survival data or time-to-event data. Visualise the
 cutpoint estimation process using contour plots, index plots, and spline
 plots. It is also possible to estimate cutpoints based on the assumption of
 a U-shaped or inverted U-shaped relationship between the predictor and the
 hazard ratio.  Govindarajulu, U., and Tarpey, T. (2022)
 <doi:10.1080/02664763.2020.1846690>.

Package: r-cran-cutpointsoehr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-cutpointsoehr_0.1.2-1.ca2004.1_all.deb
Size: 25784
MD5sum: 88a5c806bf0a1a38e62c7dc3154f7825
SHA1: 4709ea0b220fe4afe50109ad28a2789d409f3ee8
SHA256: 652d5653c1872d6d0bba1e2e526392ea78815ee8b8ac6289023a0fc3f4680b7b
SHA512: 62ae773ddbda01a7e50f11f584d203a25500f0315fbf0d16e2340085187446e8d5e9f55d2245aacf45d165992c1c3ba235e0d0415b79734a1cb4877e32372013
Homepage: https://cran.r-project.org/package=CutpointsOEHR
Description: CRAN Package 'CutpointsOEHR' (Optimal Equal-HR Method to Find Two Cutpoints for U-ShapedRelationships in Cox Model)
 Use optimal equal-HR method to determine two optimal cutpoints of a
 continuous predictor that has a U-shaped relationship with survival outcomes
 based on Cox regression model. The optimal equal-HR method estimates two
 optimal cut-points that have approximately the same log hazard value based
 on Cox regression model and divides individuals into different groups
 according to their HR values.

Package: r-cran-cuttlefish.model
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cuttlefish.model_1.0-1.ca2004.1_all.deb
Size: 100732
MD5sum: cdcc2c392eabf4e32cbf2607ed27e9c8
SHA1: 72e65af8832df21b21f1fae8e1f19f3b9403fdb4
SHA256: e833b48fa4e5d3c03dd07105cadc33853d273d37b03ffadfd1d570891b274d45
SHA512: 92a90421237eff6cb881f4d28c681de2062179e31b9e97835c09d31e01f7ffee4fc269b572cd7b65c984fe4d5ac5d05b317333311460c6b7bc52835bd229dac6
Homepage: https://cran.r-project.org/package=cuttlefish.model
Description: CRAN Package 'cuttlefish.model' (An R package to perform LPUE standardization and stockassessment of the English Channel cuttlefish stock using atwo-stage biomass model)
 This package can be used to standardize abundance indices using the
 delta-GLM method and to model the English Channel cuttlefish stock using a
 two-stage biomass model

Package: r-cran-cv
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3896
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-doparallel, r-cran-car, r-cran-foreach, r-cran-glmmtmb, r-cran-gtools, r-cran-insight, r-cran-lattice, r-cran-lme4, r-cran-mass, r-cran-nlme
Suggests: r-cran-boot, r-cran-cardata, r-cran-dplyr, r-cran-effects, r-cran-islr2, r-cran-knitr, r-cran-latticeextra, r-cran-leaps, r-cran-metrics, r-cran-microbenchmark, r-cran-nnet, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cv_2.0.4-1.ca2004.1_all.deb
Size: 2359016
MD5sum: 8bf03fb77033a754988223ce7899e083
SHA1: 0d5be203a07623e0d557ff6cc744d1575b80b09a
SHA256: d762a2f0461de288f0c939a88b2892b4a58d859ad9e80f2ebe76f2ca7dcea955
SHA512: 6565e2a41175a7f466336bbd295732baf0812a126c2175c8fbe8d1394dc504d1303699d75e8b778c23f0dcaf286a4ea3bbbc220c461479416ce0dddbaae653ad
Homepage: https://cran.r-project.org/package=cv
Description: CRAN Package 'cv' (Cross-Validating Regression Models)
 Cross-validation methods of regression models that exploit features of
 various modeling functions to improve speed. Some of the methods implemented
 in the package are novel, as described in the package vignettes; for general
 introductions to cross-validation, see, for example, Gareth James, Daniela
 Witten, Trevor Hastie, and Robert Tibshirani (2021, ISBN 978-1-0716-1417-4,
 Secs. 5.1, 5.3), "An Introduction to Statistical Learning with Applications
 in R, Second Edition", and Trevor Hastie, Robert Tibshirani, and Jerome
 Friedman (2009, ISBN 978-0-387-84857-0, Sec. 7.10), "The Elements of
 Statistical Learning, Second Edition".

Package: r-cran-cvap
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-censable, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvap_0.1.5-1.ca2004.1_all.deb
Size: 372152
MD5sum: 7e3287160948073463f70c068a600f59
SHA1: b78bee0d4d3e1f89899e169814b62b1e7fcd3c09
SHA256: 1d7fbd1cebc4d841cb19d981d8745517eccd8ee1ad352eca849d49e93097011d
SHA512: 93355fbd5b287fc9f4b645cbc6230f7f0278b449aae8bb2d4c0d822ee53d08eeaadc1466552b041d51f99098f4b7dbb8389a3699679ceaf941a4867cf5a654e4
Homepage: https://cran.r-project.org/package=cvap
Description: CRAN Package 'cvap' (Citizen Voting Age Population)
 Works with the Citizen Voting Age Population special tabulation from the US
 Census Bureau
 <https://www.census.gov/programs-surveys/decennial-census/about/voting-rights/cvap.html>.
 Provides tools to download and process raw data. Also provides a downloading
 interface to processed data. Implements a very basic approach to estimate
 block level citizen voting age population from block group data.

Package: r-cran-cvar
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gbutils, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-fgarch, r-cran-performanceanalytics
Filename: pool/dists/focal/main/r-cran-cvar_0.5-1.ca2004.1_all.deb
Size: 256464
MD5sum: 413a61ce9228025881eb50929327848c
SHA1: 7722dcc914b344531f6547753c52d7e3096b79b6
SHA256: e8993f939d6cb0b333fc13a6ce134116c2e8efbb7ea1b56ba6989f82fe671c86
SHA512: 5cb2832419b7863e793164d828b53c20efd628eca1607c93761aefbf66231c8f9cc3a63bcb3f42ab6c7635680ecbcd25a07e751071fe9caf6910d2fd2174395e
Homepage: https://cran.r-project.org/package=cvar
Description: CRAN Package 'cvar' (Compute Expected Shortfall and Value at Risk for ContinuousDistributions)
 Compute expected shortfall (ES) and Value at Risk (VaR) from a quantile
 function, distribution function, random number generator or probability
 density function.  ES is also known as Conditional Value at Risk (CVaR).
 Virtually any continuous distribution can be specified.  The functions are
 vectorized over the arguments. The computations are done directly from the
 definitions, see e.g. Acerbi and Tasche (2002)
 <doi:10.1111/1468-0300.00091>. Some support for GARCH models is provided, as
 well.

Package: r-cran-cvauc
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-cvauc_1.1.4-1.ca2004.1_all.deb
Size: 122112
MD5sum: ea8d9ae1800fd536274855e6c264a671
SHA1: 5b0010b747129ce36ae767ee98a8234390572ab9
SHA256: 46012f66b8619051b5f282f8bdcbf1e1d724528274bed3e488f907ad90ee22b2
SHA512: a05d87ce312068f2005ab7d9e321de5aa322bc3594eb93faeb346b99cde44207ff30e31e669aca23866e44223eab567770b33f861ee4f2d90748f67dd54fd67f
Homepage: https://cran.r-project.org/package=cvAUC
Description: CRAN Package 'cvAUC' (Cross-Validated Area Under the ROC Curve Confidence Intervals)
 Tools for working with and evaluating cross-validated area under the ROC
 curve (AUC) estimators.  The primary functions of the package are ci.cvAUC
 and ci.pooled.cvAUC, which report cross-validated AUC and compute confidence
 intervals for cross-validated AUC estimates based on influence curves for
 i.i.d. and pooled repeated measures data, respectively.  One benefit to
 using influence curve based confidence intervals is that they require much
 less computation time than bootstrapping methods.  The utility functions,
 AUC and cvAUC, are simple wrappers for functions from the ROCR package.

Package: r-cran-cvcalibration
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cvcalibration_1.0-1-1.ca2004.1_all.deb
Size: 23708
MD5sum: 8dc1dad3f0267f9ba0de69f7df33e8c0
SHA1: 3fd4b97d2e018e56345f6596c572d6473e2cdea6
SHA256: d199cf299faca621508c5a2dbb610cc2d89d78d3083568ce557fe14545b62538
SHA512: e1fa3e0446868d44e60f527157f929d9c5c92bfa3824c1aa2de9e571ddec3309c151336e4d08a894ff8dc0a4277186991a436ae7e6c522afc79f299fe623c379
Homepage: https://cran.r-project.org/package=CVcalibration
Description: CRAN Package 'CVcalibration' (Estimation of the Calibration Equation with Error-inObservations)
 Statistical inferences for estimating the calibration equation with error-in
 observations

Package: r-cran-cvcovest
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 849
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrixstats, r-cran-matrix, r-cran-origami, r-cran-coop, r-cran-rdpack, r-cran-rlang, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-assertthat, r-cran-rspectra, r-cran-ggplot2, r-cran-ggpubr, r-cran-rcolorbrewer, r-cran-rmtstat
Suggests: r-cran-future, r-cran-future.apply, r-cran-mass, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-cvcovest_1.2.2-1.ca2004.1_all.deb
Size: 618008
MD5sum: be33058531f1590d0cc54721a715356c
SHA1: df4f692ff6f4082f92a97d08dd9866ed822d26a0
SHA256: 58d055bb23df0fbe30e6cb0fe6017382ce169edf99c883916a9d5165c2b0e226
SHA512: f7b15bd78091c56f8eb53ea1333967374e725d37330144079a4aac793c9ca53abbcd6fcc111725cce7c0c83c3c0b283f9e4a0a3a5f8d0eab7cf55998a11237e6
Homepage: https://cran.r-project.org/package=cvCovEst
Description: CRAN Package 'cvCovEst' (Cross-Validated Covariance Matrix Estimation)
 An efficient cross-validated approach for covariance matrix estimation,
 particularly useful in high-dimensional settings. This method relies upon
 the theory of high-dimensional loss-based covariance matrix estimator
 selection developed by Boileau et al. (2022)
 <doi:10.1080/10618600.2022.2110883> to identify the optimal estimator from
 among a prespecified set of candidates.

Package: r-cran-cvcqv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 545
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-r6, r-cran-sciviews, r-cran-boot, r-cran-mbess
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cvcqv_1.0.0-1.ca2004.1_all.deb
Size: 319708
MD5sum: 6333ba87308117fa36a9632ba1e6d718
SHA1: 7620337506511a3c4edb2c73d315def5be1a17fb
SHA256: 4e0188f9f4a3c8abcba930c136e326f0563af5405da4000db27f8e787b16b081
SHA512: a323a7b1ca4a6ff7d274caad3e1f2a1599be81bdeedaaa5757d3fadc2c38c1ed68193f2f2195b4e35a8523521e6053b3e2b91f4407f51c909ec655074884e11d
Homepage: https://cran.r-project.org/package=cvcqv
Description: CRAN Package 'cvcqv' (Coefficient of Variation (CV) with Confidence Intervals (CI))
 Provides some easy-to-use functions and classes to calculate variability
 measures such as coefficient of variation with confidence intervals provided
 with all available methods. References are Panichkitkosolkul (2013)
 <doi:10.1155/2013/324940> , Altunkaynak & Gamgam (2018)
 <doi:10.1080/03610918.2018.1435800> , Albatineh, Kibria, Wilcox & Zogheib
 (2014) <doi:10.1080/02664763.2013.847405> .

Package: r-cran-cvcrand
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tableone
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cvcrand_0.1.1-1.ca2004.1_all.deb
Size: 165072
MD5sum: 5f61c50dafe5c6e4077268b7a714d7a8
SHA1: eaec25ee09a5329db67fe772f2f99059e876aa27
SHA256: 68258dee7cd10f955b6e89d7cf9f521e0f68de45a7bf172c370087a4a8c30d9a
SHA512: 68db25988a788cac0adb42c93bb054eba1e6fd4c59617c872779e56d972092445c65adb7a585943dea38b051a2b9dc98eebf9571a49c62a21ffa198c85ddca8c
Homepage: https://cran.r-project.org/package=cvcrand
Description: CRAN Package 'cvcrand' (Efficient Design and Analysis of Cluster Randomized Trials)
 Constrained randomization by Raab and Butcher (2001)
 <doi:10.1002/1097-0258(20010215)20:3%3C351::AID-SIM797%3E3.0.CO;2-C> is
 suitable for cluster randomized trials (CRTs) with a small number of
 clusters (e.g., 20 or fewer). The procedure of constrained randomization is
 based on the baseline values of some cluster-level covariates specified. The
 intervention effect on the individual outcome can then be analyzed through
 clustered permutation test introduced by Gail, et al. (1996)
 <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1069::AID-SIM220%3E3.0.CO;2-Q>.
 Motivated from Li, et al. (2016) <doi:10.1002/sim.7410>, the package
 performs constrained randomization on the baseline values of cluster-level
 covariates and clustered permutation test on the individual-level outcomes
 for cluster randomized trials.

Package: r-cran-cvd
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1770
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cvd_1.0.2-1.ca2004.1_all.deb
Size: 1591132
MD5sum: b9be4ebca43e58c95400499e6bf88346
SHA1: b64e331051bfbd0106a653d62e09646e65c2b880
SHA256: 5accc2d10f64bb974b7fff026386d0c276744d504be45a0d8488eba376ebfe3c
SHA512: 153a9daaf46eb92f904003d98f510393bd4d5a4e77985001148e8d4f22cdec95f8dbe7471c347cba4f110b199ea434cc7ce9fcc11f410d8ca1ff39abcb1c3afb
Homepage: https://cran.r-project.org/package=CVD
Description: CRAN Package 'CVD' (Color Vision Deficiencies)
 Methods for color vision deficiencies (CVD), to help understanding and
 mitigating issues with CVDs and to generate tests for diagnosis and
 interpretation.

Package: r-cran-cvdprevent
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvdprevent_0.2.2-1.ca2004.1_all.deb
Size: 284880
MD5sum: 4becc46fe135a20bcb063407e749b55f
SHA1: 4c52333eb082837872c2766e39643dc8074a815e
SHA256: 85a6f050ab46ca1db3ebbf2026fff8b56c440da6bb30868a28b850217deb2c4f
SHA512: 1fe13bf40dbeb6e6e54a6da226c7e0a5fa470789712e8dc13db4fffcffac570929316822bd6fdbd8c7b1ad1273997d897445d633981f42e828f69b0bad9a23ca
Homepage: https://cran.r-project.org/package=cvdprevent
Description: CRAN Package 'cvdprevent' (Wrapper for the 'CVD Prevent' Application Programming Interface)
 Provides an R wrapper to the 'CVD Prevent' application programming interface
 (API). Users can make API requests through built-in R functions. The
 Cardiovascular Disease Prevention Audit (CVDPREVENT) is an England-wide
 primary care audit that automatically extracts routinely held GP health
 data.
 <https://bmchealthdocs.atlassian.net/wiki/spaces/CP/pages/317882369/CVDPREVENT+API+Documentation>.

Package: r-cran-cvek
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-limsolve
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-cvek_0.1-2-1.ca2004.1_all.deb
Size: 851516
MD5sum: 47d8296294276e1ccaae4c13e04f3023
SHA1: d9246b807148ddbb29603da87cc12d13e0054b78
SHA256: d3d76f123feb3e9256a87d90566e3eb17b1fd726c2c01056007598fe59a7094d
SHA512: 7feef3d189c0518796a987fea075c6997d92a490b1593ea492e1046c16a3ebb2f3589767ace1738ed293a97823363c4301e070d631b265172c7f0430eb8c5176
Homepage: https://cran.r-project.org/package=CVEK
Description: CRAN Package 'CVEK' (Cross-Validated Kernel Ensemble)
 Implementation of Cross-Validated Kernel Ensemble (CVEK), a flexible
 modeling framework for robust nonlinear regression and hypothesis testing
 based on ensemble learning with kernel-ridge estimators (Jeremiah et al.
 (2017) <arXiv:1710.01406> and Wenying et al. (2018) <arXiv:1811.11025>). It
 allows user to conduct nonlinear regression with minimal assumption on the
 function form by aggregating nonlinear models generated from a diverse
 collection of kernel families. It also provides utilities to test for the
 estimated nonlinear effect under this ensemble estimator, using either the
 asymptotic or the bootstrap version of a generalized score test.

Package: r-cran-cvequality
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-ggbeeswarm, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cvequality_0.2.0-1.ca2004.1_all.deb
Size: 69712
MD5sum: 7e7b6fc442153f4c3bc19175f96c298e
SHA1: 83d2fff0e65a2e6d9084ff871e742441e171d73c
SHA256: 0d981ea45ee1e6893dfa60b0591e3da215877fb788d27fb89bbd96f929064a04
SHA512: 8562dc8993eeeb811e99ce6b0193a65b5810f6d5f2ba336e591127e3a8295a2fbb516d79f2231bbfaca46832cfa2829bddd4ed79d7366343e40db22c705708b2
Homepage: https://cran.r-project.org/package=cvequality
Description: CRAN Package 'cvequality' (Tests for the Equality of Coefficients of Variation fromMultiple Groups)
 Contains functions for testing for significant differences between multiple
 coefficients of variation. Includes Feltz and Miller's (1996)
 <DOI:10.1002/(SICI)1097-0258(19960330)15:6%3C647::AID-SIM184%3E3.0.CO;2-P>
 asymptotic test and Krishnamoorthy and Lee's (2014)
 <DOI:10.1007/s00180-013-0445-2> modified signed-likelihood ratio test. See
 the vignette for more, including full details of citations.

Package: r-cran-cvgee
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-geepack, r-cran-lattice, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-cvgee_0.3-0-1.ca2004.1_all.deb
Size: 199116
MD5sum: 7390057b49a18a4361b6b8a982745b26
SHA1: 4a4d0073de83fe6f870aa72bb57903ca495a824f
SHA256: af5794bea17c062ea8b3889319b74d6c36925fa68508f3b429845dd19c1cca77
SHA512: c29be2e87f0647208d8646b63bf4d9816d8c4fba0dc0025cc2bf13cf8632438a6735838180949ab72e7aa9705cf379f4681dba86e3c2bd99169ef1e20be5da01
Homepage: https://cran.r-project.org/package=cvGEE
Description: CRAN Package 'cvGEE' (Cross-Validated Predictions from GEE)
 Calculates predictions from generalized estimating equations and internally
 cross-validates them using the logarithmic, quadratic and spherical proper
 scoring rules; Kung-Yee Liang and Scott L. Zeger (1986)
 <doi:10.1093/biomet/73.1.13>.

Package: r-cran-cvglasso
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-dplyr, r-cran-glasso
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvglasso_1.0-1.ca2004.1_all.deb
Size: 51632
MD5sum: ea137e8f3f6f852833839fda7176dcc9
SHA1: 01356870295321a61b79e3d3b952112364b03e1d
SHA256: cf7f77f54ac098019c8ca00205ee8e0980e4c9c436f5c017d4a19caf67a6446d
SHA512: 66c2ff0d99f9399b6a5a477142b723282e6bcc72e226263c786c3eb841d8b055e39e88e15a00968cd848232d233feff414f3e5f6e8c55435cc11710412dd7b40
Homepage: https://cran.r-project.org/package=CVglasso
Description: CRAN Package 'CVglasso' (Lasso Penalized Precision Matrix Estimation)
 Estimates a lasso penalized precision matrix via the blockwise coordinate
 descent (BCD). This package is a simple wrapper around the popular 'glasso'
 package that extends and enhances its capabilities. These enhancements
 include built-in cross validation and visualizations.  See Friedman et al
 (2008) <doi:10.1093/biostatistics/kxm045> for details regarding the
 estimation method.

Package: r-cran-cvmaplfam
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-quadprog, r-cran-mgcv, r-cran-mass
Filename: pool/dists/focal/main/r-cran-cvmaplfam_0.1.1-1.ca2004.1_all.deb
Size: 57644
MD5sum: 2b2b34a136940499684da7b24c1e7de7
SHA1: b0e14b1e134f1560c5c1a9607913e47d9cac7417
SHA256: 28d3c0ea9599c3b1967fe4383285ff301692491ef86c775f475d215205bf84b2
SHA512: 7b4b22760b4aab9c0d6591d3c1ea2aa26596acff0e9733a38d39e4ccbda27d323be477948fd8dd7527310739ab03db5a9a9d02313625c6b2c200f2bba3133924
Homepage: https://cran.r-project.org/package=cvmaPLFAM
Description: CRAN Package 'cvmaPLFAM' (Cross-Validation Model Averaging for Partial Linear FunctionalAdditive Models)
 Produce an averaging estimate/prediction by combining all candidate models
 for partial linear functional additive models, using multi-fold
 cross-validation criterion. More details can be referred to arXiv e-Prints
 via <doi:10.48550/arXiv.2105.00966>.

Package: r-cran-cvmdisc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvmdisc_0.1.0-1.ca2004.1_all.deb
Size: 50520
MD5sum: 40d6497a544ae307e01ea4bf7c807e0d
SHA1: ef2365e95785d6ecabd6c8672e307c21027b049c
SHA256: b03a4aa35a496a758ba0761ae0f3aca4fa7e91c4cb9a2ba4a0479c10eddb8ced
SHA512: af6205e4d7a42a6f8ea554720207b5dcf35caa0696773d1e558b4ad39c5d16c06fa118e71bc7af19ad08a52619052bb3d20bdef2f2bde44176513d36281be8f6
Homepage: https://cran.r-project.org/package=cvmdisc
Description: CRAN Package 'cvmdisc' (Cramer von Mises Tests for Discrete or Grouped Distributions)
 Implements Cramer-von Mises Statistics for testing fit to (1) fully
 specified discrete distributions as described in Choulakian, Lockhart and
 Stephens (1994) <doi:10.2307/3315828> (2) discrete distributions with
 unknown parameters that must be estimated from the sample data, see Spinelli
 & Stephens (1997) <doi:10.2307/3315735> and Lockhart, Spinelli and Stephens
 (2007) <doi:10.1002/cjs.5550350111> (3) grouped continuous distributions
 with Unknown Parameters, see Spinelli (2001) <doi:10.2307/3316040>. Maximum
 likelihood estimation (MLE) is used to estimate the parameters. The package
 computes the Cramer-von Mises Statistics, Anderson-Darling Statistics and
 the Watson-Stephens Statistics and their p-values.

Package: r-cran-cvmgof
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-cvmgof_1.0.3-1.ca2004.1_all.deb
Size: 112348
MD5sum: 174ad77e79fcfc8adf30316ad0b8e536
SHA1: 468cc5f6905c0b90f8272571589137b731c13e5e
SHA256: 155defaea33be49d2c781483a8af7c2ac4294df20bd059bda7a2b8b36807e0b1
SHA512: 6c97e7f3cac71914722b14a2a9da624656ec831877c63a50860aea76fe08727be6428c3491a5e0dc766ccdde888a566c99235eaf7c11336f8e4a42f7ada5f559
Homepage: https://cran.r-project.org/package=cvmgof
Description: CRAN Package 'cvmgof' (Cramer-von Mises Goodness-of-Fit Tests)
 It is devoted to Cramer-von Mises goodness-of-fit tests.  It implements
 three statistical methods based on Cramer-von Mises statistics to estimate
 and test a regression model.

Package: r-cran-cvmortalitymult
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2273
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stmomo, r-cran-forecast, r-cran-gnm, r-cran-tmap, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvmortalitymult_1.1.0-1.ca2004.1_all.deb
Size: 1998944
MD5sum: f93b5d709e70f6e88051418178f7d149
SHA1: 1e69481bb0df3f3a7e2d27bb2d5855251d87259b
SHA256: 434d1d07c74e4e451cf4702ea1df62221bacbfe5439d7949194fec08e2db39aa
SHA512: faa51ea84f689ea820820f72635a578eafffb68c3ec3e2b0533b765c41763a3c511682b2bedcda1b6271fd2b65e975c388143945e89c38c7f23adfdc967ffc17
Homepage: https://cran.r-project.org/package=CvmortalityMult
Description: CRAN Package 'CvmortalityMult' (Cross-Validation for Multi-Population Mortality Models)
 Implementation of cross-validation method for testing the forecasting
 accuracy of several multi-population mortality models. The family of
 multi-population includes several multi-population mortality models proposed
 through the actuarial and demography literature. The package includes
 functions for fitting and forecast the mortality rates of several
 populations. Additionally, we include functions for testing the forecasting
 accuracy of different multi-population models.  References.  Atance, D.,
 Debon, A., and Navarro, E. (2020) <doi:10.3390/math8091550>.  Bergmeir, C. &
 Benitez, J.M. (2012) <doi:10.1016/j.ins.2011.12.028>.  Debon, A., Montes,
 F., & Martinez-Ruiz, F. (2011) <doi:10.1007/s13385-011-0043-z>.  Lee, R.D. &
 Carter, L.R. (1992) <doi:10.1080/01621459.1992.10475265>.  Russolillo, M.,
 Giordano, G., & Haberman, S. (2011) <doi:10.1080/03461231003611933>.
 Santolino, M. (2023) <doi:10.3390/risks11100170>.

Package: r-cran-cvms
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4743
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-groupdata2, r-cran-lifecycle, r-cran-lme4, r-cran-mumin, r-cran-parameters, r-cran-plyr, r-cran-proc, r-cran-purrr, r-cran-rearrr, r-cran-recipes, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-auc, r-cran-covr, r-cran-e1071, r-cran-furrr, r-cran-ggimage, r-cran-ggnewscale, r-cran-knitr, r-cran-merderiv, r-cran-nnet, r-cran-randomforest, r-cran-rmarkdown, r-cran-rsvg, r-cran-testthat, r-cran-xpectr
Filename: pool/dists/focal/main/r-cran-cvms_1.7.0-1.ca2004.1_all.deb
Size: 3527468
MD5sum: 57d07f5f00209ccacd79acd3d5990469
SHA1: 6eaa46c44c0e681523a253394fa0aaa4d47d8aa5
SHA256: 0325280bca565e8986608f96194b3eb807947781d436958d07ac4eb9a55c3a4e
SHA512: 483dcb822e03df5fe55bcfd37a0c521a79e2328100f72499d0861b58cb958d7fd803b4baf997724c413e3afb34aea3404b2191f64166da666b16a9e87d126429
Homepage: https://cran.r-project.org/package=cvms
Description: CRAN Package 'cvms' (Cross-Validation for Model Selection)
 Cross-validate one or multiple regression and classification models and get
 relevant evaluation metrics in a tidy format. Validate the best model on a
 test set and compare it to a baseline evaluation.  Alternatively, evaluate
 predictions from an external model. Currently supports regression and
 classification (binary and multiclass).  Described in chp. 5 of Jeyaraman,
 B. P., Olsen, L. R., & Wambugu M. (2019, ISBN: 9781838550134).

Package: r-cran-cvq2
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cvq2_1.2.0-1.ca2004.1_all.deb
Size: 193624
MD5sum: 02ff845587b3bfd9e89c7785ba1d6307
SHA1: e036d874db284bafe197b51df4ec2fc1ffac071b
SHA256: e159b915754bcb38d524ae6fe3acf6b39e08ba70a0ef99bff01cc20fdfe7c3b8
SHA512: 06e556ee5bb093c1e40be782d2ef38b72b809b420845d472b34b8033eca1ab79cd61d37d074a47d17edbbcff971915afa540c521d5526272e2f60b234d797e9d
Homepage: https://cran.r-project.org/package=cvq2
Description: CRAN Package 'cvq2' (Calculate the predictive squared correlation coefficient)
 The external prediction capability of quantitative structure-activity
 relationship (QSAR) models is often quantified using the predictive squared
 correlation coefficient. This value can be calculated with an external data
 set or by cross validation.

Package: r-cran-cvrisk
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-cvrisk_1.1.1-1.ca2004.1_all.deb
Size: 59236
MD5sum: 8d5c3de6855464af1a6ca1573102e835
SHA1: 93e11d84c510a04a42fde12075083c660622e622
SHA256: 38b87f48d591906c50ec734f1dc9dcfd0bb6d60464c527c33842481bd544df15
SHA512: 9c740b8954101b0a68de1029f8afe2e9492176b2def59c0b30ba48b8e4f6c475c54b4980e0ad8b10659c7224466e904ee4acc58d2b6ab4b24a5f502565538b62
Homepage: https://cran.r-project.org/package=CVrisk
Description: CRAN Package 'CVrisk' (Compute Risk Scores for Cardiovascular Diseases)
 Calculate various cardiovascular disease risk scores from the Framingham
 Heart Study (FHS), the American College of Cardiology (ACC), and the
 American Heart Association (AHA) as described in D’agostino, et al (2008)
 <doi:10.1161/circulationaha.107.699579>, Goff, et al (2013)
 <doi:10.1161/01.cir.0000437741.48606.98>, and Mclelland, et al (2015)
 <doi:10.1016/j.jacc.2015.08.035>.

Package: r-cran-cvsem
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lavaan, r-cran-rdpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvsem_1.0.0-1.ca2004.1_all.deb
Size: 38608
MD5sum: e1979fcfba54f40e1682e80846e38665
SHA1: b8f93a73286b5071bca4e2597c8120c2379c04af
SHA256: 6e586ae0a769c6b438cb1d80eb39d9b5ad9018d94d71f25818c0869dbb4e84e2
SHA512: 57140fafccc6a80231af7f12428f0b87b11795de7cfc4c0c58f7085d92b9735611d75d3e20fde64c7effe74866ea781a218c934ec79c0bba651776c3886c0bdf
Homepage: https://cran.r-project.org/package=cvsem
Description: CRAN Package 'cvsem' (SEM Model Comparison with K-Fold Cross-Validation)
 The goal of 'cvsem' is to provide functions that allow for comparing
 Structural Equation Models (SEM) using cross-validation. Users can specify
 multiple SEMs using 'lavaan' syntax. 'cvsem' computes the Kullback Leibler
 (KL) Divergence between 1) the model implied covariance matrix estimated
 from the training data and 2) the sample covariance matrix estimated from
 the test data described in Cudeck, Robert & Browne (1983)
 <doi:10.18637/jss.v048.i02>. The KL Divergence is computed for each of the
 specified SEMs allowing for the models to be compared based on their
 prediction errors.

Package: r-cran-cvst
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-cvst_0.2-3-1.ca2004.1_all.deb
Size: 85720
MD5sum: fd1be262990e17f574e2adef3846ac08
SHA1: 6a3c9b5fb61cbb439168aa9402e6eba349dfa2dd
SHA256: 914eee90ba2cdfa3846c9764e4b726a5424fbf4a932cea161046d26d03be5af6
SHA512: 0e4a3918ea8e1edb61240b638ae7c66ff35608ec61f527535657bdec058babd7183c2d22dfe8531934d1411e23062694a6dc6ed49f65b8ce3779a9105492d756
Homepage: https://cran.r-project.org/package=CVST
Description: CRAN Package 'CVST' (Fast Cross-Validation via Sequential Testing)
 The fast cross-validation via sequential testing (CVST) procedure is an
 improved cross-validation procedure which uses non-parametric testing
 coupled with sequential analysis to determine the best parameter set on
 linearly increasing subsets of the data. By eliminating under-performing
 candidates quickly and keeping promising candidates as long as possible, the
 method speeds up the computation while preserving the capability of a full
 cross-validation. Additionally to the CVST the package contains an
 implementation of the ordinary k-fold cross-validation with a flexible and
 powerful set of helper objects and methods to handle the overall model
 selection process. The implementations of the Cochran's Q test with
 permutations and the sequential testing framework of Wald are generic and
 can therefore also be used in other contexts.

Package: r-cran-cvthresh
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavethresh, r-cran-ebayesthresh
Filename: pool/dists/focal/main/r-cran-cvthresh_1.1.2-1.ca2004.1_all.deb
Size: 78344
MD5sum: 6e08b454ce949bfbaae0c2c2f2679a2d
SHA1: 90d47db38753da714802e427d39f275ba1936e93
SHA256: abc25d32774fc78b0c9c282aac9d79b3254397f6a4f576b010f262d10170b1ae
SHA512: 0819b77a1dc5c764f0ae1dacd80a67a874dbfcf996b8002488560d1b2c256f1475a6b501832489de76073ced4f5fa2e1acc4d22e74a7ea85e97265ec8d3b0484
Homepage: https://cran.r-project.org/package=CVThresh
Description: CRAN Package 'CVThresh' (Level-Dependent Cross-Validation Thresholding)
 The level-dependent cross-validation method is implemented for the selection
 of thresholding value in wavelet shrinkage. This procedure is implemented by
 coupling a conventional cross validation with an imputation method due to a
 limitation of data length, a power of 2. It can be easily applied to
 classical leave-one-out and k-fold cross validation.  Since the procedure is
 computationally fast, a level-dependent cross validation can be performed
 for wavelet shrinkage of various data such as a data with correlated errors.

Package: r-cran-cvtools
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-cvtools_0.3.3-1.ca2004.1_all.deb
Size: 196044
MD5sum: 3eaeac8a688d2c8bbee6c0926f3e154c
SHA1: e3ece56531ef682af188ab258e04c3314151757e
SHA256: e8f5468b9a68094effc58475a9d2e4378f31f051e73cd313ce8215e24092c555
SHA512: 8e5c4a788a3869ef1d593f63999ab0b2fd2a36824379b37b3a799e3e57b732e78fd56318fb605863e8330ae209807a62817f97ea8a25b44a49b5d851a3a6a68d
Homepage: https://cran.r-project.org/package=cvTools
Description: CRAN Package 'cvTools' (Cross-Validation Tools for Regression Models)
 Tools that allow developers to write functions for cross-validation with
 minimal programming effort and assist users with model selection.

Package: r-cran-cvtuningcov
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-cvtuningcov_1.0-1.ca2004.1_all.deb
Size: 39048
MD5sum: be1b3729aa04e9abb26aab7af9ec7d6a
SHA1: 8df9cc2addefb9d7ab15fe6354b6523e0b26be54
SHA256: 9c9dfb96cb24a104ec2b92d6b57d21fa1afd78fa1f83b7129aada69ee8cba0a8
SHA512: 51a619760b08eea82cabbbd561c67e0a9cf75628f5d41b4f5b02dd50316fe0ec738ec1300cab8a566dc1b1bc5f8a0a4e7e20a9393e25eda905bc6c91a30bf11a
Homepage: https://cran.r-project.org/package=CVTuningCov
Description: CRAN Package 'CVTuningCov' (Regularized Estimators of Covariance Matrices with CV Tuning)
 This is a package for selecting tuning parameters based on cross-validation
 (CV) in regularized estimators of large covariance matrices. Four
 regularized methods are implemented: banding, tapering, hard-thresholding
 and soft-thresholding. Two types of matrix norms are applied: Frobenius norm
 and operator norm. Two types of CV are considered: K-fold CV and random CV.
 Usually K-fold CV use K-1 folds to train a model and the rest one fold to
 validate the model. The reverse version trains a model with 1 fold and
 validates with the rest with K-1 folds. Random CV randomly splits the data
 set to two parts, a training set and a validation set with user-specified
 sizes.

Package: r-cran-cvwrapr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-foreach
Suggests: r-cran-doparallel, r-cran-gbm, r-cran-glmnet, r-cran-knitr, r-cran-matrix, r-cran-pls, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cvwrapr_1.0-1.ca2004.1_all.deb
Size: 388616
MD5sum: 9544ebd973566d7d6f14365ead1fde79
SHA1: d1e51bfada04d9a254fc77687e45824157cf6acc
SHA256: 15ec52a023a01e97618202eabcd8b9fb124aa78147df2a8f634dc4e1d3258bc9
SHA512: d8ebe5f2afc33ac094a6cec8e967b71f46784f83c9f527e448fceb123f0b1eaff54afe6b4414ccb1de8edef8d1dcf24ed163d82dcafa33b86f1018856b05da9e
Homepage: https://cran.r-project.org/package=cvwrapr
Description: CRAN Package 'cvwrapr' (Tools for Cross Validation)
 Tools for performing cross-validation (CV). The main function is a general
 purpose wrapper that performs k-fold CV for any tuning parameter in any
 supervised learning method. The package also has a function that computes
 the loss incurred by a set of predictions for a variety of loss functions
 and model families.

Package: r-cran-cwbtools
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1227
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-r6, r-cran-xml2, r-cran-stringi, r-cran-curl, r-cran-rcppcwb, r-cran-pbapply, r-cran-cli, r-cran-jsonlite, r-cran-httr, r-cran-rstudioapi, r-cran-zen4r, r-cran-lifecycle, r-cran-fs
Suggests: r-cran-tm, r-cran-knitr, r-cran-markdown, r-cran-tokenizers, r-cran-tidytext, r-cran-snowballc, r-cran-janeaustenr, r-cran-testthat, r-cran-rmarkdown, r-cran-aws.s3, r-cran-quanteda, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-cwbtools_0.4.2-1.ca2004.1_all.deb
Size: 460772
MD5sum: c658c26be067f1c09801af8a097c4726
SHA1: f0544da686dba3b863154152e6b8355e0e6734f9
SHA256: 138d5827cfe5dd36b1589e50925cb054705a768530ebb8bce192d0d5a6035669
SHA512: 1a994de7ae565aa6cdf1923bd9fdcb0174046bfe456ca96dab469a82615def9fbd8d6d9f2e47f2e8c46a650a49d1ef237725bf03d978c2c2fd5b15997633630a
Homepage: https://cran.r-project.org/package=cwbtools
Description: CRAN Package 'cwbtools' (Tools to Create, Modify and Manage 'CWB' Corpora)
 The 'Corpus Workbench' ('CWB', <https://cwb.sourceforge.io/>) offers a
 classic and mature approach for working with large, linguistically and
 structurally annotated corpora. The 'CWB' is memory efficient and its design
 makes running queries fast, see Evert (2011)
 <https://eprints.lancs.ac.uk/id/eprint/62721>. The 'cwbtools' package offers
 pure 'R' tools to create indexed corpus files as well as high-level wrappers
 for the original 'C' implementation of 'CWB' as exposed by the 'RcppCWB'
 package (<https://CRAN.R-project.org/package=RcppCWB>). Additional
 functionality to add and modify annotations of corpora from within 'R' makes
 working with 'CWB' indexed corpora much more flexible and convenient. The
 'cwbtools' package in combination with the 'R' packages 'RcppCWB'
 (<https://CRAN.R-project.org/package=RcppCWB>) and 'polmineR'
 (<https://CRAN.R-project.org/package=polmineR>) offers a lightweight
 infrastructure to support the combination of quantitative and qualitative
 approaches for working with textual data.

Package: r-cran-cwhmisc
Architecture: all
Version: 6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-cwhmisc_6.6-1.ca2004.1_all.deb
Size: 671692
MD5sum: 3c4d2fdc798654b54927a6cfc1bcf8c6
SHA1: 354c9efc700d915b9cd197f244eb0be0207e0761
SHA256: 79908dfa85faeede42d24dd8b268626314edddbde44ba75a8614d7cf3b906fdd
SHA512: 2793b89f9cac2e204f1f38dd268867a55adef8ce5122d3ee93e790b83d4505fd7f6f8cebe08739d04a34d4d5e7fdde3f238fbdf77efc710f625ff1e20858f878
Homepage: https://cran.r-project.org/package=cwhmisc
Description: CRAN Package 'cwhmisc' (Miscellaneous Functions for Math, Plotting, Printing,Statistics, Strings, and Tools)
 Miscellaneous useful or interesting functions.

Package: r-cran-cwm
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matlab, r-cran-permute
Filename: pool/dists/focal/main/r-cran-cwm_0.0.3-1.ca2004.1_all.deb
Size: 704664
MD5sum: 5968a5909f2487303f571539989d5428
SHA1: 291866535b3964bbb26793b41e518f24d66fd300
SHA256: 938c62ada3a1a411c4885da6f8b0fab1514d9b8495fc92490ef7fd6ea7e16e55
SHA512: 0d225e052f2da26c3f7a0ce3dfd3c1e3ab9419478c92566cb903cb3ddc0b397ece4a6f53065a2860dcc7fecca31c9fceccdf76bcc33c0c1f95852fa15d60adc0
Homepage: https://cran.r-project.org/package=cwm
Description: CRAN Package 'cwm' (Cluster Weighted Models by EM algorithm)
 This package estimates gaussian cluster weighted linear regressions by EM
 algorithm.

Package: r-cran-cwot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spatest, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-cwot_0.1.0-1.ca2004.1_all.deb
Size: 25276
MD5sum: b314a21b3620ca12cbf5c8b1e6b00f56
SHA1: 59e971baaf33e9d63655a8f1aef6762c251924bd
SHA256: 836a3ed56d8293cf327b9dc99f48e08b205866365a36f705270e76cd0a16c887
SHA512: 0bead950ef3df502910b3b4bc81b9a67ef1295403a0592dbb644de9a148b5c1b6ba7350db824010a86a6975547c485cf1b3f20d43f6f5dbe7f7eb3dba1d51bee
Homepage: https://cran.r-project.org/package=cwot
Description: CRAN Package 'cwot' (Cauchy Weighted Joint Test for Pharmacogenetics Analysis)
 A flexible and robust joint test of the single nucleotide polymorphism (SNP)
 main effect and genotype-by-treatment interaction effect for continuous and
 binary endpoints. Two analytic procedures, Cauchy weighted joint test (CWOT)
 and adaptively weighted joint test (AWOT), are proposed to accurately
 calculate the joint test p-value. The proposed methods are evaluated through
 extensive simulations under various scenarios. The results show that the
 proposed AWOT and CWOT control type I error well and outperform existing
 methods in detecting the most interesting signal patterns in
 pharmacogenetics (PGx) association studies. For reference, see Hong Zhang,
 Devan Mehrotra and Judong Shen (2022) <doi:10.13140/RG.2.2.28323.53280>.

Package: r-cran-cxr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2054
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-mvtnorm, r-cran-optimx
Suggests: r-cran-bb, r-cran-deoptimr, r-cran-dfoptim, r-cran-dplyr, r-cran-gensa, r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-minqa, r-cran-nloptr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyr, r-cran-ucminf
Filename: pool/dists/focal/main/r-cran-cxr_1.1.1-1.ca2004.1_all.deb
Size: 1311872
MD5sum: decb887613019c8486d83287e4fd6bcd
SHA1: f1aa9d613cfe6568fd0bb8d128d735410337d6f9
SHA256: 8f94bd3d27470ce682b3f8985f1c1d5d748df752594fb1d429459087d9e4679f
SHA512: 48e90a71c345d7a8f0807a27a44d4755ac3602cf464156e2571bdf275f53c654056949b4516a16d0ce23bbfdea36b54801330ea951bea211d663b0fb21c461b9
Homepage: https://cran.r-project.org/package=cxr
Description: CRAN Package 'cxr' (A Toolbox for Modelling Species Coexistence in R)
 Recent developments in modern coexistence theory have advanced our
 understanding on how species are able to persist and co-occur with other
 species at varying abundances. However, applying this mathematical framework
 to empirical data is still challenging, precluding a larger adoption of the
 theoretical tools developed by empiricists. This package provides a complete
 toolbox for modelling interaction effects between species, and calculate
 fitness and niche differences.  The functions are flexible, may accept
 covariates, and different fitting algorithms can be used.  A full
 description of the underlying methods is available in García-Callejas, D.,
 Godoy, O., and Bartomeus, I. (2020) <doi:10.1111/2041-210X.13443>.
 Furthermore, the package provides a series of functions to calculate
 dynamics for stage-structured populations across sites.

Package: r-cran-cxxfunplus
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-inline
Suggests: r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-cxxfunplus_1.0.2-1.ca2004.1_all.deb
Size: 149800
MD5sum: 144dca3aea049fb94b2c359e27516884
SHA1: 73679f7830ecaa37d5d713c0b340d0afde527c9d
SHA256: 3682bea9c32283c8fdd622b1a7ed787e25e6be82c4211f9e56af2909a5462ddf
SHA512: 1ca2e88f4fd7b08e568ede2a4172913926b27961015948ac72c49d8700ed9615f2b18b1252e4fe50b53c678e32e887e8ace822342410932f33d0a85bbb62e506
Homepage: https://cran.r-project.org/package=cxxfunplus
Description: CRAN Package 'cxxfunplus' (Extend 'cxxfunction' by Saving the Dynamic Shared Objects)
 Extend 'cxxfunction' by saving the dynamic shared objects for reusing across
 R sessions.

Package: r-cran-cyclestreets
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1546
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-curl, r-cran-dplyr, r-cran-data.table, r-cran-geojsonsf, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-progressr, r-cran-rcppsimdjson, r-cran-readr, r-cran-sf, r-cran-stringr, r-cran-stringi
Suggests: r-cran-covr, r-cran-od, r-cran-stplanr
Filename: pool/dists/focal/main/r-cran-cyclestreets_1.0.3-1.ca2004.1_all.deb
Size: 1483420
MD5sum: 8e04c5fc16aaca07a5996957388ca07b
SHA1: 91ce8aeb060776405aed92f23f77fef8eb7ff228
SHA256: d3b836f79c19a0dd4519ea28512765fb9491512ae12b23ee1f5c6367250564f4
SHA512: 6b63b8c39e79f9580552787acbc2cf14ddf0a4b97d39e66c3c7021cc9e40ac060f251f6672131cc0902a5d2ede58f054b4c47393fffa5b74fb4d27c4a0876156
Homepage: https://cran.r-project.org/package=cyclestreets
Description: CRAN Package 'cyclestreets' (Cycle Routing and Data for Cycling Advocacy)
 An interface to the cycle routing/data services provided by 'CycleStreets',
 a not-for-profit social enterprise and advocacy organisation.  The
 application programming interfaces (APIs) provided by 'CycleStreets' are
 documented at (<https://www.cyclestreets.net/api/>).  The focus of this
 package is the journey planning API, which aims to emulate the routes taken
 by a knowledgeable cyclist.  An innovative feature of the routing service of
 its provision of fastest, quietest and balanced profiles.  These represent
 routes taken to minimise time, avoid traffic and compromise between the two,
 respectively.

Package: r-cran-cyclocomp
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-callr, r-cran-crayon, r-cran-desc, r-cran-remotes, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cyclocomp_1.1.1-1.ca2004.1_all.deb
Size: 32448
MD5sum: 608a977fbf9654fe31b91ce80aaa14e8
SHA1: 4adcf0340ad63d5b17869b9784d61b543dd50a8b
SHA256: ce1ef80d7690689e3fa482efe27957286455a4755c1ba33595c187c34dd2bf19
SHA512: b1bcfb248bcf00a689e8aff56016fa797a7b1693f7ff3d77dd8b61a47b2d0d595face6e827ac583ec8838465086143a7f90f874a0ff8b7066dadc4183e2a188c
Homepage: https://cran.r-project.org/package=cyclocomp
Description: CRAN Package 'cyclocomp' (Cyclomatic Complexity of R Code)
 Cyclomatic complexity is a software metric (measurement), used to indicate
 the complexity of a program. It is a quantitative measure of the number of
 linearly independent paths through a program's source code. It was developed
 by Thomas J. McCabe, Sr. in 1976.

Package: r-cran-cycloids
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-cycloids_1.0.2-1.ca2004.1_all.deb
Size: 394516
MD5sum: b9e059d42005d8110fa41959d042f56e
SHA1: 72f74b5039119e2876063a3fbf9547d4d41b2ec1
SHA256: f3d84d1cbe1bfc6213f75e26fed4747fb0dc3fed6ad87e48c7f4df609c31bed8
SHA512: ad66e3b7f2a825efc67a0a8a7053c89d368facd6361adba3b177b0cae443094b4b33e96cd57cf3900bdce5eba46d1680190d954c589169434a157b19ab14ef91
Homepage: https://cran.r-project.org/package=cycloids
Description: CRAN Package 'cycloids' (Tools for Calculating Hypocycloids, Epicycloids, Hypotrochoids,and Epitrochoids)
 Tools for calculating coordinate representations of hypocycloids,
 epicyloids, hypotrochoids, and epitrochoids (altogether called 'cycloids'
 here) with different scaling and positioning options. The cycloids can be
 visualised with any appropriate graphics function in R.

Package: r-cran-cyclomort
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-flexsurv, r-cran-lubridate, r-cran-magrittr, r-cran-mvtnorm, r-cran-plyr, r-cran-scales, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-cyclomort_1.0.3-1.ca2004.1_all.deb
Size: 245040
MD5sum: e6491a99b660f263892b0d20e3e6aac3
SHA1: b509032af10f2e5cfe33ee8fcafa374b30d1722e
SHA256: 665dba0b5d3d5f9c6107622732aa9229e831894400a8dcf2b925159dc6e3d56d
SHA512: d0f04ed24ca7419ed068fe629da307dc1c6ce1177f75c1b7d38f23528b8a9fe0e689919ce20376a0c698938eab2e602685d108156cb86e59a2f5002157093081
Homepage: https://cran.r-project.org/package=cyclomort
Description: CRAN Package 'cyclomort' (Survival Modeling with a Periodic Hazard Function)
 Modeling periodic mortality (or other time-to event) processes from
 right-censored data. Given observations of a process with a known period
 (e.g. 365 days, 24 hours), functions determine the number, intensity,
 timing, and duration of peaks of periods of elevated hazard within a period.
 The underlying model is a mixed wrapped Cauchy function fitted using maximum
 likelihoods (details in Gurarie et al. (2020)
 <doi:10.1111/2041-210X.13305>). The development of these tools was motivated
 by the strongly seasonal mortality patterns observed in many wild animal
 populations. Thus, the respective periods of higher mortality can be
 identified as "mortality seasons".

Package: r-cran-cyclotomic
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-intmap, r-cran-gmp, r-cran-maybe, r-cran-memoise, r-cran-numbers, r-cran-verylargeintegers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cyclotomic_1.3.0-1.ca2004.1_all.deb
Size: 217424
MD5sum: 51a1dad7f71840a412eed0e96dff6e1f
SHA1: 0ade6e7b8f646b803c04b05b80d08228bed50f34
SHA256: f6208bb7ef16e6198bb56aeac4f599bc75e28152f5780857acc58534fe05d1bd
SHA512: 573730eadf86445d03317b33d29e12ca9a3e312bdd0368932249dee322fbdbd123e0ff310c4f3439ad20fbd6d9b4c08e3f2c913edbcbda54d1324ff685fd0a7f
Homepage: https://cran.r-project.org/package=cyclotomic
Description: CRAN Package 'cyclotomic' (The Field of Cyclotomic Numbers)
 The cyclotomic numbers are complex numbers that can be thought of as the
 rational numbers extended with the roots of unity. They are represented
 exactly, enabling exact computations. They contain the Gaussian rationals
 (complex numbers with rational real and imaginary parts) as well as the
 square roots of all rational numbers. They also contain the sine and cosine
 of all rational multiples of pi. The algorithms implemented in this package
 are taken from the 'Haskell' package 'cyclotomic', whose algorithms are
 adapted from code by Martin Schoenert and Thomas Breuer in the 'GAP' project
 (<https://www.gap-system.org/>). Cyclotomic numbers have applications in
 number theory, algebraic geometry, algebraic number theory, coding theory,
 and in the theory of graphs and combinatorics. They have connections to the
 theory of modular functions and modular curves.

Package: r-cran-cyjshiny
Architecture: all
Version: 1.0.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5635
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-shiny, r-cran-jsonlite, r-bioc-graph, r-cran-base64enc
Suggests: r-cran-runit, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-cyjshiny_1.0.42-1.ca2004.1_all.deb
Size: 2324552
MD5sum: e75d364d783a12cdcb4bcda977269e33
SHA1: bb8e45e2e82be4360a39bbec8f114e2aa1bff9eb
SHA256: 744d5fe778d4373cdd55c509eadbb18ff697481467a1aa7d6609514a1852d155
SHA512: 18ea0ee9f135e186a8317bea754d98422884cdba4ab325a9f654d999a98839c3a684a3ae18b523d7a5be30ff5a6301677b0dfcb2ecc68d0f020ab77e5ca1ee7d
Homepage: https://cran.r-project.org/package=cyjShiny
Description: CRAN Package 'cyjShiny' (Cytoscape.js Shiny Widget (cyjShiny))
 Wraps cytoscape.js as a shiny widget. cytoscape.js
 <https://js.cytoscape.org/> is a Javascript-based graph theory (network)
 library for visualization and analysis. This package supports the
 visualization of networks with custom visual styles and several available
 layouts. Demo Shiny applications are provided in the package code.

Package: r-cran-cylcop
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-circular, r-cran-purrr, r-cran-dplyr, r-cran-copula, r-cran-stringr, r-cran-rlang, r-cran-gofkernel, r-cran-mass, r-cran-data.table, r-cran-infotheo, r-cran-ggplot2, r-cran-rgl, r-cran-viridis, r-cran-plotly, r-cran-cowplot, r-cran-movmf, r-cran-rdpack, r-cran-mixr, r-cran-transport
Filename: pool/dists/focal/main/r-cran-cylcop_0.2.0-1.ca2004.1_all.deb
Size: 693124
MD5sum: 87f66ba3fe58ab2a3cda1e1b14de516a
SHA1: 65e80ff824961eede6b2ef403ad5a900a7a5373e
SHA256: 72acefaf822b73a7e7022c2bd464894087ad63f42493ecea6979d8c6e699cb86
SHA512: 7b010898b127b0ee5d6e7797d16ccdbf360ed779967d0fbc0704e86aceee42b01d7f416e3f032a16ea6b3cca23df8daef531f0ce22920e4d35315c11bb704904
Homepage: https://cran.r-project.org/package=cylcop
Description: CRAN Package 'cylcop' (Circular-Linear Copulas with Angular Symmetry for Movement Data)
 Classes (S4) of circular-linear, symmetric copulas with corresponding
 methods, extending the 'copula' package. These copulas are especially useful
 for modeling correlation in discrete-time movement data. Methods for
 density, (conditional) distribution, random number generation, bivariate
 dependence measures and fitting parameters using maximum likelihood and
 other approaches. The package also contains methods for visualizing movement
 data and copulas.

Package: r-cran-cymruservices
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-memoise, r-cran-pingr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cymruservices_0.5.0-1.ca2004.1_all.deb
Size: 222164
MD5sum: 6b795ef50e638900057a28e8282e9bc4
SHA1: 64935f7021c3a6154ff643e569d1c1a9933dc7b0
SHA256: 30bb6ef90cd9917e7bb03a7254fd96fad49becf7ddd692f12aba74623080841e
SHA512: 200bd7d813f81c952e026fd52fb68f98260b0a6bf92cee2b90c2edeae4e820da83674453b3bdb0d41c67a83e28d4ab4ba6d338c76be8f432319321a3adeac878
Homepage: https://cran.r-project.org/package=cymruservices
Description: CRAN Package 'cymruservices' (Query 'Team Cymru' 'IP' Address, Autonomous System Number('ASN'), Border Gateway Protocol ('BGP'), Bogon and 'Malware'Hash Data Services)
 A toolkit for querying 'Team Cymru' <http://team-cymru.org> 'IP' address,
 Autonomous System Number ('ASN'), Border Gateway Protocol ('BGP'), Bogon and
 'Malware' Hash Data Services.

Package: r-cran-cyphid
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda
Filename: pool/dists/focal/main/r-cran-cyphid_1.1-1.ca2004.1_all.deb
Size: 50980
MD5sum: 8302b8b0c30e1a9baead5c95dc592a64
SHA1: 345f0fe330ba1d89dd965b7cbbb47babc1c8489b
SHA256: be5cbd64c981d2c4fbf528552a9a0a694187e6b451462d353a89957ee024cc02
SHA512: d3361eaea8d3e3ae53cb992240cf9188e2b1d9cc87922b095908dccb9054139e7637df860ac0413d963919778e301385e6ce76987c78195b52a7d07d0b223f80
Homepage: https://cran.r-project.org/package=cyphid
Description: CRAN Package 'cyphid' (Cycle and Phase Identification for mastication data)
 This library contains a primary function that divides chewing sequences in
 cycles and cycles into phases.  See get.all.breaks for an example.

Package: r-cran-cyphr
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-getpass, r-cran-openssl, r-cran-sodium
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cyphr_1.1.7-1.ca2004.1_all.deb
Size: 362956
MD5sum: 9cddb556f52629ab3bb081bc5d7e4172
SHA1: bc9dbc803c44b8afe133851592126db2fd632f8a
SHA256: 3191662a93c6d47537a20d1200a566e74a9f8bc98bd826f8c96bf55ed951c303
SHA512: 42b85b97957c4386d7edeaa28ede032d51afbc0a4313e69be5843cf64318e352abc8fbc0e1f11cba1a1f337822ece278c8894802523fb716e4c596a0da75b445
Homepage: https://cran.r-project.org/package=cyphr
Description: CRAN Package 'cyphr' (High Level Encryption Wrappers)
 Encryption wrappers, using low-level support from 'sodium' and 'openssl'.
 'cyphr' tries to smooth over some pain points when using encryption within
 applications and data analysis by wrapping around differences in function
 names and arguments in different encryption providing packages.  It also
 provides high-level wrappers for input/output functions for seamlessly
 adding encryption to existing analyses.

Package: r-cran-cystisim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-cystisim_0.1.0-1.ca2004.1_all.deb
Size: 109576
MD5sum: c1694d0e6f95a73558b22c32616de16b
SHA1: 9eba73c8f44680ffca3660d0dbdb593946ea28c4
SHA256: 8ab8c25e9b815e9f86c59c83e3198a3fbba45a2564a9efeb1144c190f6e8c774
SHA512: f902db8242a2cac9905b139e147e54fbdc581540c0e2d9201c58a8b485427f10ec120ecb6ad3634d0f5639b18ac71d8bdb9d0993bf1c511984e6a357586e70a9
Homepage: https://cran.r-project.org/package=cystiSim
Description: CRAN Package 'cystiSim' (Agent-Based Model for Taenia_solium Transmission and Control)
 The cystiSim package provides an agent-based model for Taenia solium
 transmission and control. cystiSim was developed within the framework of
 CYSTINET, the European Network on taeniosis/cysticercosis, COST ACTION
 TD1302.

Package: r-cran-cytobankapi
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4700
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-aws.s3, r-cran-uuid, r-cran-jose
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cytobankapi_2.2.1-1.ca2004.1_all.deb
Size: 1217000
MD5sum: 41cc8d6c857045e02ddc9a284d63d432
SHA1: bf30794acbcbc9cbef66d91c2903c745ab20e16c
SHA256: 0d84149589949863f058979ae6bcdc3ec1bbcda9d336b0844a27c0e40a4a3074
SHA512: 8f21963a4a9741541c4932658c8de0bb954bd4d339f006694fd22a998901e2c86057b2c926148f5f9355f93ea83ae3feb240ae82a3d126c21ee0fb50b2b65bbe
Homepage: https://cran.r-project.org/package=CytobankAPI
Description: CRAN Package 'CytobankAPI' (Cytobank API Wrapper for R)
 Tools to interface with Cytobank's API via R, organized by endpoints that
 represent various areas of Cytobank functionality. Learn more about Cytobank
 at <https://www.beckman.com/flow-cytometry/software>.

Package: r-cran-cytobankbridger
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cytobankapi
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cytobankbridger_1.0.0-1.ca2004.1_all.deb
Size: 54148
MD5sum: c4cf15053779c32d44b2077d0de4a491
SHA1: 8e9942855d5cab4e609e95359ffeebc8fa7f7a8a
SHA256: 05632525b6dff2bcdc0f64837217aa612f72c3988fd23909ae0a6e817d011e3d
SHA512: 75b3cdab331877db5f03e38ee1e2355e51b2eb1c53fd5784dddc37df888e0aac971f4710e4b93e869fe36ef0decc08cb6676db96eb1d85bc6dcc03f8d800d98b
Homepage: https://cran.r-project.org/package=CytobankBridgeR
Description: CRAN Package 'CytobankBridgeR' (Bridging and Extending the CytobankAPI Package in R to theCytobank Web Application)
 A collection of tools that leverage the CytobankAPI R package
 <https://cran.r-project.org/web/packages/CytobankAPI/vignettes/cytobank-quickstart.html>
 to complete more complex workflows, and add/extend various Cytobank
 features.

Package: r-cran-cytodiv
Architecture: all
Version: 0.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genkern, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-cytodiv_0.5-3-1.ca2004.1_all.deb
Size: 989480
MD5sum: 5abc8ce3f00778e91bc8a4398467fc28
SHA1: 9061fe6eb5e17d797fb76c8a93bb003bdb0c6879
SHA256: d536861c2f228aa1e70fd3428334ccd8f6e0e433636b4d4413b3ed55e5ad47dc
SHA512: 28c47306e836a6c4bd39687a1391e20c376dfcf1b5079d78d0126e05b085a6766bb4dfbd41d9e0068186fc6a5d688094f2f1a8783c8ac01ef6e578ef549325fd
Homepage: https://cran.r-project.org/package=cytoDiv
Description: CRAN Package 'cytoDiv' (Cytometric diversity indices)
 Calculates ecological diversity indices for a microbial community

Package: r-cran-cytofan
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1662
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer
Suggests: r-cran-dplyr, r-cran-reshape2, r-cran-bodenmiller, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-cytofan_0.1.1-1.ca2004.1_all.deb
Size: 1291620
MD5sum: 59f8809a4a6b5ab62538a671b08b49f2
SHA1: 4837df67318b63524213ad29dfb7d12bc29a66a0
SHA256: 089bc5e3f508475f078431efbfecabcf89a8c28b3b447e8164ba3f1ae75510c8
SHA512: a0a417638f07a089aa343d2fce67391a2a827b9f1b4ad53c66569dd60811af17c9e6bfe1c66bc624b06c0586726629fdfde70e1586f92514cba4b8c9579af651
Homepage: https://cran.r-project.org/package=cytofan
Description: CRAN Package 'cytofan' (Plot Fan Plots for Cytometry Data using 'ggplot2')
 An implementation of Fan plots for cytometry data in 'ggplot2'.  For
 reference see Britton, E.; Fisher, P. & J. Whitley (1998) The Inflation
 Report Projections: Understanding the Fan Chart
 <https://www.bankofengland.co.uk/quarterly-bulletin/1998/q1/the-inflation-report-projections-understanding-the-fan-chart>).

Package: r-cran-cytominer
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1082
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-futile.logger, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-dbi, r-cran-dbplyr, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-cytominer_0.2.2-1.ca2004.1_all.deb
Size: 390088
MD5sum: c763807bd8d3864edf9e0d73ce169e79
SHA1: dcb0dc310c6295720c5a01576a67e0920905ce99
SHA256: e3dc0778efd40798d11913016b243311f87d35a83ac8872787459d809ebbab34
SHA512: ee3ae9d251c6a9b2d8d07059ea2a3d46d9650cd8fdb6bd8c85713e6ab840bb8e034a6497750650d9557350b4083451246d9274c38a67153ae8e1c20949b901d5
Homepage: https://cran.r-project.org/package=cytominer
Description: CRAN Package 'cytominer' (Methods for Image-Based Cell Profiling)
 Typical morphological profiling datasets have millions of cells and hundreds
 of features per cell. When working with this data, you must clean the data,
 normalize the features to make them comparable across experiments, transform
 the features, select features based on their quality, and aggregate the
 single-cell data, if needed. 'cytominer' makes these steps fast and easy.
 Methods used in practice in the field are discussed in Caicedo (2017)
 <doi:10.1038/nmeth.4397>. An overview of the field is presented in Caicedo
 (2016) <doi:10.1016/j.copbio.2016.04.003>.

Package: r-cran-cytoprofile
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-mixomics, r-cran-dplyr, r-cran-tidyr, r-cran-proc, r-cran-plot3d, r-cran-caret, r-cran-xgboost, r-cran-randomforest, r-cran-gplots, r-cran-e1071, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-reshape2
Suggests: r-cran-spelling, r-cran-biocmanager, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-ckmeans.1d.dp, r-cran-prodlim
Filename: pool/dists/focal/main/r-cran-cytoprofile_0.2.1-1.ca2004.1_all.deb
Size: 1047728
MD5sum: bbe2dfacc70030a0a6d31825c6bc3a36
SHA1: 0b2d7e5a82e97c781bc2ba23909cb3995021ae43
SHA256: 4f28ed6283144519b38cb9f186d8e01ac2dfb6514c619a790917bc0b3bd31b1d
SHA512: bc69808cca8aad24f4827384accdb2ae74dc192e5d3fe606f10f0560699f66181810471c446954efb06085a3b7f9a5265296f118eaff8ce41ce1f61534fa80fd
Homepage: https://cran.r-project.org/package=CytoProfile
Description: CRAN Package 'CytoProfile' (Cytokine Profiling Analysis Tool)
 Provides comprehensive cytokine profiling analysis through quality control
 using biologically meaningful cutoffs on raw cytokine measurements and by
 testing for distributional symmetry to recommend appropriate
 transformations. Offers exploratory data analysis with summary statistics,
 enhanced boxplots, and barplots, along with univariate and multivariate
 analytical capabilities for in-depth cytokine profiling such as Principal
 Component Analysis based on Andrzej Maćkiewicz and Waldemar Ratajczak (1993)
 <doi:10.1016/0098-3004(93)90090-R>, Sparse Partial Least Squares
 Discriminant Analysis based on Lê Cao K-A, Boitard S, and Besse P (2011)
 <doi:10.1186/1471-2105-12-253>, Random Forest based on Breiman, L. (2001)
 <doi:10.1023/A:1010933404324>, and Extreme Gradient Boosting based on Tianqi
 Chen and Carlos Guestrin (2016) <doi:10.1145/2939672.2939785>.

Package: r-cran-cytopt
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-metbrewer, r-cran-patchwork, r-cran-reshape2, r-cran-reticulate, r-cran-testthat
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-cytopt_0.9.8-1.ca2004.1_all.deb
Size: 2555724
MD5sum: 66c46e418443d765258debef7d8ded0f
SHA1: b36d3c0646e13afe0462f95bbb5ec840e33e452c
SHA256: ce3bbe5ae78f7d3719bb0b5277eee00695449903d32d3ee27568d6133f3ca777
SHA512: d570d569e2874012253dec06ca9ca64c86e67bc8de147904755f7e418596798cdac0e6d1d0a6579175d0b03a807d6ceb61eb3f0e9543f10a48e26bb2ea8c603d
Homepage: https://cran.r-project.org/package=CytOpT
Description: CRAN Package 'CytOpT' (Optimal Transport for Gating Transfer in Cytometry Data withDomain Adaptation)
 Supervised learning from a source distribution (with known segmentation into
 cell sub-populations) to fit a target distribution with unknown
 segmentation. It relies regularized optimal transport to directly estimate
 the different cell population proportions from a biological sample
 characterized with flow cytometry measurements. It is based on the
 regularized Wasserstein metric to compare cytometry measurements from
 different samples, thus accounting for possible mis-alignment of a given
 cell population across sample (due to technical variability from the
 technology of measurements). Supervised learning technique based on the
 Wasserstein metric that is used to estimate an optimal re-weighting of class
 proportions in a mixture model Details are presented in Freulon P, Bigot J
 and Hejblum BP (2023) <doi:10.1214/22-AOAS1660>.

Package: r-cran-czechrates
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-readr, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-czechrates_0.2.5-1.ca2004.1_all.deb
Size: 160316
MD5sum: 8106106f3b4b490ee489d79f58dba1e4
SHA1: e1b6402ba5370269329bcdac020e522abe0511bf
SHA256: a8e2dfbeb33a32938f8ab6cc7db951656ca9524670528fb3236eb82cdf885a46
SHA512: eb6a216319b51ca72457e5f5890bac1c12f9c3587eb719fd8761e0c48bb04e38bc5452775bea1f08c2d7f3c9a149bdd3f41b33f39885d18c272a5e5016cb746c
Homepage: https://cran.r-project.org/package=czechrates
Description: CRAN Package 'czechrates' (Czech Interest & Foreign Exchange Rates)
 Interface to interest and foreign exchange rates published by the Czech
 National Bank.

Package: r-cran-czso
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-czso_0.4.2-1.ca2004.1_all.deb
Size: 206084
MD5sum: 011a948ca6ff4998998faa78a10f7f25
SHA1: 35085bc5482c9085a7d1b7c281fecae92f181d3d
SHA256: 67ed311bb3e9181e41532fbb1b198362a94386cf82b2572ab7800576613bc2d6
SHA512: 4702134c1601d7a61f1641ffa01e4e73f4cd76da6dfc566a0361e9c0136e7924fadd9c874cea2145018290bbc5838476dae715554c80aa7a987829a5e46db049
Homepage: https://cran.r-project.org/package=czso
Description: CRAN Package 'czso' (Use Open Data from the Czech Statistical Office in R)
 Get programmatic access to the open data provided by the Czech Statistical
 Office (CZSO, <https://czso.cz>).

Package: r-cran-d2mcs
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2726
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-devtools, r-cran-dplyr, r-cran-fselector, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-infotheo, r-cran-mccr, r-cran-mltools, r-cran-modelmetrics, r-cran-questionr, r-cran-recipes, r-cran-r6, r-cran-tictoc, r-cran-varhandle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-d2mcs_1.0.1-1.ca2004.1_all.deb
Size: 1849368
MD5sum: da207801de7c25449e9934ba4f1b5e7d
SHA1: 0ebdfe52fe7ce3ffdd8df853f155aaef1f7c123b
SHA256: a33a5ecb26c38c702f4039fb6e611951e9cf9e70e44a9960643a2780070031fe
SHA512: 7102f8481bf042fb4cc5d73e6e3bc46e04ee1599daad9f02b3a641ea2ee74280c599f0fee4b93db00293e4df4d7241c7068e6861e3e2cfd2774068dfd990c33a
Homepage: https://cran.r-project.org/package=D2MCS
Description: CRAN Package 'D2MCS' (Data Driving Multiple Classifier System)
 Provides a novel framework to able to automatically develop and deploy an
 accurate Multiple Classifier System based on the feature-clustering
 distribution achieved from an input dataset. 'D2MCS' was developed focused
 on four main aspects: (i) the ability to determine an effective method to
 evaluate the independence of features, (ii) the identification of the
 optimal number of feature clusters, (iii) the training and tuning of ML
 models and (iv) the execution of voting schemes to combine the outputs of
 each classifier comprising the Multiple Classifier System.

Package: r-cran-d3gb
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsqlite, r-cran-dbi, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-d3gb_2.0-1.ca2004.1_all.deb
Size: 522588
MD5sum: 3f881ec027886225e51cc7469e430485
SHA1: ee9e14ff0c028d689d1cf9e6509866db34f5eb18
SHA256: bc376ca5dc087d23f4b79b0798bb8506b9a17490c417ab41ed1707f2c52f95e0
SHA512: 57811cb9f7a36d665acb09f814a3042fa9140bf6b70bc886e5c3f6f304e43bbe86a2b650e682e996dd23dc2c5eb8e6b686527e5f22dfd99c03e2e05d853531f7
Homepage: https://cran.r-project.org/package=D3GB
Description: CRAN Package 'D3GB' (Interactive Genome Browser)
 Creates interactive genome browser. It joins the data analysis power of 'R'
 and the visualization libraries of 'JavaScript' in one package. Barrios, D.
 & Prieto, C. (2017) <doi:10.1089/cmb.2016.0213>.

Package: r-cran-d3mirt
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-mirt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-d3mirt_2.0.4-1.ca2004.1_all.deb
Size: 924000
MD5sum: 60ae39689bc2c7eba90fbfb239e41432
SHA1: cfc44e47a2450cfdaeb6e97942762f31d7ee2778
SHA256: 7fa783843b64f29b502bee42f1c49204b273fb69da12c78990a587b393b78d57
SHA512: 87f9f295226907f4aeedaa1bb551c4cdfad7f032300afb79d927b8fbb1aedfc20546068541d3274851e4375f0242dcaa72692d6650796a395976858d24ebc815
Homepage: https://cran.r-project.org/package=D3mirt
Description: CRAN Package 'D3mirt' (Descriptive 3D Multidimensional Item Response Theory Modelling)
 For identifying, estimating, and plotting descriptive multidimensional item
 response theory models, restricted to 3D and dichotomous or polytomous data
 that fit the two-parameter logistic model or the graded response model. The
 method is foremost explorative and centered around the plot function that
 exposes item characteristics and constructs, represented by vector arrows,
 located in a three-dimensional interactive latent space. The results can be
 useful for item-level analysis as well as test development.

Package: r-cran-d3network
Architecture: all
Version: 0.5.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-rjson, r-cran-whisker
Suggests: r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-d3network_0.5.2.1-1.ca2004.1_all.deb
Size: 79804
MD5sum: 0def2cb3a6d550bc6d7bf38453ef4781
SHA1: 2c93b4cdfc36cd333d86f3e513cb3daaaa97411b
SHA256: 01e78777ef98f642f63b19be4e177191f43233a0ad209e2249f9e7d4636facfc
SHA512: b1d4a1938f0c68087987cf94da04c9fb2f369f5b10523cf60b54e13b59502a69b136f9f3b412aa0c22bce360e699afcc429335f82f5e8fc8dd2b3df079891c74
Homepage: https://cran.r-project.org/package=d3Network
Description: CRAN Package 'd3Network' (Tools for creating D3 JavaScript network, tree, dendrogram, andSankey graphs from R)
 This packages is intended to make it easy to create D3 JavaScript network,
 tree, dendrogram, and Sankey graphs from R using data frames.  !!! NOTE:
 Active development has moved to the networkD3 package. !!!

Package: r-cran-d3partitionr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5016
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-htmlwidgets, r-cran-functional, r-cran-rcolorbrewer, r-cran-titanic
Filename: pool/dists/focal/main/r-cran-d3partitionr_0.5.0-1.ca2004.1_all.deb
Size: 3870520
MD5sum: ba8cb081cd5bf79dba7eddd505490646
SHA1: 45227b5efca62d01e404cdb9624b71292516ccde
SHA256: dd941bafd69d55b065d6893033fe8ce027e40fb107b68fc0013b256f5d20778e
SHA512: c27a3c51bcee0470da83e2b7f42b268415913aa1f881703b795447a418a504fc31034c9a468597b8984606631c8b6ea672d5ab27af4144cca562f25144c428dc
Homepage: https://cran.r-project.org/package=D3partitionR
Description: CRAN Package 'D3partitionR' (Interactive Charts of Nested and Hierarchical Data with 'D3.js')
 Builds interactive 'd3.js' hierarchical visualisation easily. D3partitionR
 makes it easy to build and customize sunburst, circle treemap, treemap,
 partition chart, ...

Package: r-cran-d3plus
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1880
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-d3plus_0.1.0-1.ca2004.1_all.deb
Size: 433052
MD5sum: 99d78ddd83e5f948e672fa2fb74100d6
SHA1: 3cd8d0c282d0aa11b8b00fc4c3917076514bc85f
SHA256: 6313fae518864803421c990896309fa65c5e43d0932e96dbb82aec868ba65dfb
SHA512: ddb828d5c7b9e27dfaf6948235878d4bbf51516ff48bd212162ad81532e1b4fa73620ea3b8823cdfd876ed6631c80f94b594a15eae2b798fcba7b9094ebb4825
Homepage: https://cran.r-project.org/package=d3plus
Description: CRAN Package 'd3plus' (Seamless 'D3Plus' Integration)
 Provides functions that offer seamless 'D3Plus' integration. The examples
 provided here are taken from the official 'D3Plus' website
 <http://d3plus.org>.

Package: r-cran-d3po
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4754
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr, r-cran-assertthat, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-igraph, r-cran-rmarkdown, r-cran-shiny, r-cran-golem
Filename: pool/dists/focal/main/r-cran-d3po_0.5.5-1.ca2004.1_all.deb
Size: 4191068
MD5sum: 49a75a5a2df86082358a35ab5344d688
SHA1: 3ea317dfe9721580f2e5e7dabc4caf7bb75a3f3a
SHA256: 990cd21c7e8ad2176395e9a67270322b2323090c7802869747e75e1978e6dd25
SHA512: e0ae5652d0a8a17a4638971bcc07eeb6afc146dcd29d38c75086c06d4fa321aaf254be1e38d1c771054404d7df827be76d61212530e232b04ee07c615470cff5
Homepage: https://cran.r-project.org/package=d3po
Description: CRAN Package 'd3po' (Fast and Beautiful Interactive Visualization for 'Markdown' and'Shiny')
 Apache licensed alternative to 'Highcharter' which provides functions for
 both fast and beautiful interactive visualization for 'Markdown' and
 'Shiny'.

Package: r-cran-d3r
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2505
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-htmltools, r-cran-tidyr
Suggests: r-cran-httr, r-cran-jsonlite, r-cran-listviewer, r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-d3r_1.1.0-1.ca2004.1_all.deb
Size: 330236
MD5sum: d4df4267a47b254555278d5c4e3f8ece
SHA1: f688a713e852b6ac2d89f67553f7431f2d33ea09
SHA256: 91c5997658c9252fa30472da47b4b168bcb610a1f6813a81153b590313d0fdc4
SHA512: 9da249cb66032ccfb10f60db0339ed71a3efcfb572e2d8b9f1baea22c00ea35de6f7eb5ebef8fada2ed0ecc82cfa3f2a4599ae53052b0a9142cce17ff63b5173
Homepage: https://cran.r-project.org/package=d3r
Description: CRAN Package 'd3r' ('d3.js' Utilities for R)
 Provides a suite of functions to help ease the use of 'd3.js' in R.  These
 helpers include 'htmltools::htmlDependency' functions, hierarchy builders,
 and conversion tools for 'partykit', 'igraph,' 'table', and 'data.frame' R
 objects into the 'JSON' that 'd3.js' expects.

Package: r-cran-d3tree
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-tibble, r-cran-tidyselect, r-cran-dplyr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-d3tree_0.3.0-1.ca2004.1_all.deb
Size: 99800
MD5sum: d192831f577af9c396cf532052d7df36
SHA1: ac246c24e45481b2cebae1735585e8b969a6e9e5
SHA256: 9704b4048dcebc6a2c1d1ed46176c5184342c68db2a6246c1f07afc54c80b190
SHA512: 57d15b7265c5808a592ab2acc100c264cbe5b80b71e5e7b791960691a59b7b1d886d2020c8b33ef6a812d4988241e9f7005875df83762d9bbe831e2dab86373a
Homepage: https://cran.r-project.org/package=d3Tree
Description: CRAN Package 'd3Tree' (Create Interactive Collapsible Trees with the JavaScript 'D3'Library)
 Create and customize interactive collapsible 'D3' trees using the 'D3'
 JavaScript library and the 'htmlwidgets' package. These trees can be used
 directly from the R console, from 'RStudio', in Shiny apps and R Markdown
 documents.  When in Shiny the tree layout is observed by the server and can
 be used as a reactive filter of structured data.

Package: r-cran-d4storagehub4r
Architecture: all
Version: 0.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-xml, r-cran-xml2, r-cran-keyring
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-d4storagehub4r_0.4-4-1.ca2004.1_all.deb
Size: 130420
MD5sum: 263812a5fdbff042f0e9a70316847c19
SHA1: 18cce4150d53eafa913c97be3657f98a76186ca0
SHA256: 14dfae437a947442b62a48bd21b6719dd01c4d2d6954b4fa17107243c5e0b23d
SHA512: a1a5ac76587d6c42a6dd71f2d4e9c943b55f9db8782fdddda2485764fa60a7098f757a22595212a255e846f788449970b1a02c45fba04ad8b2209292e6c801b6
Homepage: https://cran.r-project.org/package=d4storagehub4R
Description: CRAN Package 'd4storagehub4R' (Interface to 'D4Science' 'StorageHub' API)
 Provides an interface to 'D4Science' 'StorageHub' API
 (<https://dev.d4science.org/>). Allows to get user profile, and perform
 actions over the 'StorageHub' (workspace) including creation of folders,
 files management (upload/update/deletion/sharing), and listing of stored
 resources.

Package: r-cran-d4talink.light
Architecture: all
Version: 2.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-openssl, r-cran-officedown, r-cran-rmarkdown, r-bioc-biobase, r-cran-openxlsx, r-cran-reticulate, r-cran-feather, r-cran-getpass
Suggests: r-cran-knitr, r-cran-roxygen2, r-cran-writexls, r-cran-xlconnect, r-cran-xlsx, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-d4talink.light_2.1.18-1.ca2004.1_all.deb
Size: 344388
MD5sum: 4a26056817c1c76dd7828888260e8e42
SHA1: d40878c86c0b0deba612466e09b9798e18aff875
SHA256: cf20d07ba41f10fe34cd0f88387258b7afc3babeae45b8b5f86cf40d2fa5eb19
SHA512: cbc14d7260e20b40692b2567e049d645e3fdc0a35ab0adf1e70d1ea0be2551f9f893f8f045919638e7ed6aa2b718be66d994049e41326ae6045539ee17cf153c
Homepage: https://cran.r-project.org/package=D4TAlink.light
Description: CRAN Package 'D4TAlink.light' (GDP - Workflow Management)
 Tools, methods and processes for the management of analysis workflows. These
 lightweight solutions facilitate structuring R&D activities. These solutions
 were developed to comply with Good Documentation Practice (GDP), with ALCOA+
 principles as proposed by the U.S. FDA, and with FAIR principles as
 discussed by Jacobsen et al. (2017) <doi:10.1162/dint_r_00024>.

Package: r-cran-da
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adegenet, r-cran-lfda, r-cran-mass, r-cran-kernlab, r-cran-klar, r-cran-plotly, r-cran-rarpack
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-da_1.2.0-1.ca2004.1_all.deb
Size: 1188376
MD5sum: b3266737814234be91e11f1e6b4ada3d
SHA1: d9ec3c3ec8edb3a95eccdc556d91f4b6024a7a72
SHA256: 3b7eaf18343c719a5d1e4a90e94d1bb6eda482a952809a1cb6b3b18a55722e8c
SHA512: 4a717637e04948bfe6d6411dfb4acb8fc6f9c56ec87044f02ffeafe723547ea936d57ffcaf6174765c2d792f65c51258dbbeac7f7ad190345797f8b1d7eb4c30
Homepage: https://cran.r-project.org/package=DA
Description: CRAN Package 'DA' (Discriminant Analysis for Evolutionary Inference)
 Discriminant Analysis (DA) for evolutionary inference (Qin, X. et al, 2020,
 <doi:10.22541/au.159256808.83862168>), especially for population genetic
 structure and community structure inference. This package incorporates the
 commonly used linear and non-linear, local and global supervised learning
 approaches (discriminant analysis), including Linear Discriminant Analysis
 of Kernel Principal Components (LDAKPC), Local (Fisher) Linear Discriminant
 Analysis (LFDA), Local (Fisher) Discriminant Analysis of Kernel Principal
 Components (LFDAKPC) and Kernel Local (Fisher) Discriminant Analysis
 (KLFDA). These discriminant analyses can be used to do ecological and
 evolutionary inference, including demography inference, species
 identification, and population/community structure inference.

Package: r-cran-daag
Architecture: all
Version: 1.25.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2358
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-rdpack
Suggests: r-cran-leaps, r-cran-oz, r-cran-lme4, r-cran-knitr, r-cran-boot, r-cran-rpart, r-cran-randomforest, r-cran-mass, r-cran-survival, r-cran-mgcv, r-cran-rmarkdown, r-cran-bookdown, r-cran-statmod, r-cran-qgam
Filename: pool/dists/focal/main/r-cran-daag_1.25.6-1.ca2004.1_all.deb
Size: 1778892
MD5sum: 95d9940d0cb235404d0b240b1d15b48f
SHA1: 5c4876484e07dd829c8441b3afe5c4d28c7d149b
SHA256: a0bec466de7c0208a325e3ef2bd190f91069504055e8ef6d4ad6ed6fe2b0eec5
SHA512: 873b669cf95bf572e079a126c1c779c38a5de2d288c86555eb67519b37e5da8be0eec38b9cc60bcc3cf8f42a48f7c9ef3f66e2f5174307aa1982cb50a0e717ee
Homepage: https://cran.r-project.org/package=DAAG
Description: CRAN Package 'DAAG' (Data Analysis and Graphics Data and Functions)
 Functions and data sets used in examples and exercises in the text
 Maindonald, J.H. and Braun, W.J. (2003, 2007, 2010) "Data Analysis and
 Graphics Using R", and in an upcoming Maindonald, Braun, and Andrews text
 that builds on this earlier text.

Package: r-cran-daagbio
Architecture: all
Version: 0.63-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4521
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-limma
Suggests: r-cran-daag, r-cran-locfit, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-daagbio_0.63-4-1.ca2004.1_all.deb
Size: 4111604
MD5sum: b2c2f9cc4e3eac12539c751b34150fad
SHA1: 74f8ef04ba2fdef8de73fe98ede18b842980e0f0
SHA256: e3c2b4d4ae397605e184182a2ea54202d474bb7fd057e827796fc37a9aa9ae86
SHA512: 26ba12b9d20c51427f6fb031ad2d0ffc34256b53dd6f86b8ca7aaae23a97bc1c55eb1afba7a5bbf85e724c4cb694fa4273ade24327dbb83a789bf69a3eb3634b
Homepage: https://cran.r-project.org/package=DAAGbio
Description: CRAN Package 'DAAGbio' (Data Sets and Functions, for Demonstrations with ExpressionArrays and Gene Sequences)
 Data sets and functions, for the display of gene expression array
 (microarray) data, and for demonstrations with such data.

Package: r-cran-daarem
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-daarem_0.7-1.ca2004.1_all.deb
Size: 50708
MD5sum: 06db61000166cf1c3335cef3cdc28dd2
SHA1: 68009b68df8cc8efcf3b9013c3398f6f84d924e2
SHA256: 22777b67759dfc8b9443d1bdbfa7d2eb770e664ade6d1e02c83c742ef554ef60
SHA512: baf38b6b2bb9cada2d97cb460128b537466e3b6699e2c969f8c45beb2d1199460b43fad4b5ccdf13bbde619359f57fc2acdf3bb594e49513e554dac5ea13d816
Homepage: https://cran.r-project.org/package=daarem
Description: CRAN Package 'daarem' (Damped Anderson Acceleration with Epsilon Monotonicity forAccelerating EM-Like Monotone Algorithms)
 Implements the DAAREM method for accelerating the convergence of slow,
 monotone sequences from smooth, fixed-point iterations such as the EM
 algorithm. For further details about the DAAREM method, see Henderson, N.C.
 and Varadhan, R. (2019) <doi:10.1080/10618600.2019.1594835>.

Package: r-cran-dabestr
Architecture: all
Version: 2025.3.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3796
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-brunnermunzel, r-cran-cli, r-cran-cowplot, r-cran-dplyr, r-cran-effsize, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggsci, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridislite
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-dabestr_2025.3.14-1.ca2004.1_all.deb
Size: 2329660
MD5sum: d43d3c4dfcc08fab6737be4f60dd68c0
SHA1: f722c17d66ccf88931db13d71de7a016714cc82c
SHA256: b7064fc370ebf1b55ae9a30912e05706a1143e12989bed75b4f5204d7eeb49d0
SHA512: bd6de1d86c0cc6e26f39cba29f6fd0d60235046a5b889b4a275c43b687b2a846b6f10a5e65ecf692ecd13d92771828135d777ef3795bbac79020f30e22709405
Homepage: https://cran.r-project.org/package=dabestr
Description: CRAN Package 'dabestr' (Data Analysis using Bootstrap-Coupled Estimation)
 Data Analysis using Bootstrap-Coupled ESTimation.  Estimation statistics is
 a simple framework that avoids the pitfalls of significance testing. It uses
 familiar statistical concepts: means, mean differences, and error bars. More
 importantly, it focuses on the effect size of one's experiment/intervention,
 as opposed to a false dichotomy engendered by P values.  An estimation plot
 has two key features: 1. It presents all datapoints as a swarmplot, which
 orders each point to display the underlying distribution.  2. It presents
 the effect size as a bootstrap 95% confidence interval on a separate but
 aligned axes.  Estimation plots are introduced in Ho et al., Nature Methods
 2019, 1548-7105.  <doi:10.1038/s41592-019-0470-3>.  The free-to-view PDF is
 located at
 <https://www.nature.com/articles/s41592-019-0470-3.epdf?author_access_token=Euy6APITxsYA3huBKOFBvNRgN0jAjWel9jnR3ZoTv0Pr6zJiJ3AA5aH4989gOJS_dajtNr1Wt17D0fh-t4GFcvqwMYN03qb8C33na_UrCUcGrt-Z0J9aPL6TPSbOxIC-pbHWKUDo2XsUOr3hQmlRew%3D%3D>.

Package: r-cran-dabr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-rmariadb, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dabr_0.0.4-1.ca2004.1_all.deb
Size: 44620
MD5sum: d365c10b63685debcd4bc1234d23db35
SHA1: cf45ad5934ca0966fe5b0b3c458a634c9ca1ba6b
SHA256: 413598ca9b3ced00245ba1f1e3c821c0745eb35c67100a6a5538c00ac43cdc75
SHA512: 67888c0a1c6f7df63beed23a9ca7b95dd47bdfa450e9ff81d02a2b5e0e9be916c94f07b4d77af0832cee3ae9dac1080d4b72688932ce0ed0c936196d0ce172bd
Homepage: https://cran.r-project.org/package=dabr
Description: CRAN Package 'dabr' (Database Management with R)
 Provides functions to manage databases: select, update, insert, and delete
 records, list tables, backup tables as CSV files, and import CSV files as
 tables.

Package: r-cran-dacc
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1944
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-iso, r-cran-pracma, r-cran-janitor, r-cran-magrittr, r-cran-sp, r-cran-cftime, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-dacc_0.0-6-1.ca2004.1_all.deb
Size: 1956412
MD5sum: 0d1f9fb04d59fe0fa4c94cfff5a1bb00
SHA1: a620359d579f699f3a394d7cb32837186b0cc01e
SHA256: 4d72dcbf92dbb84322dc5922f05b2fe0ef24956b50cd62c07dd34b830302611b
SHA512: 34a189f697e55bada77422dcbdbcbce4632ddcecc5ec2e2dcd53dc5482abf205adb6977d1d037aa3055138f3235b294ed457b9eb41a0f9710e4eb09927872a44
Homepage: https://cran.r-project.org/package=dacc
Description: CRAN Package 'dacc' (Detection and Attribution Analysis of Climate Change)
 Conduct detection and attribution of climate change using methods including
 optimal fingerprinting via generalized total least squares or estimating
 equation approach from Ma et al. (2023) <doi:10.1175/JCLI-D-22-0681.1>.
 Provide shrinkage estimators for covariance matrix from Ledoit and Wolf
 (2004) <doi:10.1016/S0047-259X(03)00096-4>, and Ledoit and Wolf (2017)
 <doi:10.2139/ssrn.2383361>.

Package: r-cran-dacf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dacf_1.0.0-1.ca2004.1_all.deb
Size: 36120
MD5sum: 0cae97c699bcd59db1beacf8d181199f
SHA1: d80d5c9c1f481c0180c763197cadf09d4c6388d9
SHA256: 37d1e7faa0aaa1743b6e8efa6ac2ae336e619feee53184c63e3f11ee82b2d8cc
SHA512: 4327fde571ea6407259e5e6ac839b5593ce8f2d90c53ea833e4d9c818472ae7e4d98e7bbcb71726d31fea78e78c57d0e7ef0feb5b901a0cbfb4963823bede794
Homepage: https://cran.r-project.org/package=DACF
Description: CRAN Package 'DACF' (Data Analysis with Ceiling and/or Floor Data)
 An implementation of data analytic methods in R for analyses for data with
 ceiling/floor effects. The package currently includes functions for
 mean/variance estimation and mean comparison tests. Implemented methods are
 from Aitkin (1964) <doi:10.1007/BF02289723> and Liu & Wang (in prep).

Package: r-cran-dad
Architecture: all
Version: 4.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-e1071, r-cran-desctools
Suggests: r-cran-mass, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dad_4.1.6-1.ca2004.1_all.deb
Size: 955592
MD5sum: fd6f5a69b85557e72d2537ab01687018
SHA1: ac651ab74a88277b3970d62f9b4ad62fc5064553
SHA256: 5e7769a0ae4f00a854bacaeda9ba09de769c0cbce1417505297adcc7774273ae
SHA512: c75544d9997941ba6483ed09dbbda041eb8702ad33962bb6534faed04e18c1032b7f4f43e24c1d8dff1f5e6bc3d5b71ef3a4ed94c98362a303a6ec24175393cd
Homepage: https://cran.r-project.org/package=dad
Description: CRAN Package 'dad' (Three-Way / Multigroup Data Analysis Through Densities)
 The data consist of a set of variables measured on several groups of
 individuals. To each group is associated an estimated probability density
 function. The package provides tools to create or manage such data and
 functional methods (principal component analysis, multidimensional scaling,
 cluster analysis, discriminant analysis...) for such probability densities.

Package: r-cran-dadjoke
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 39
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dadjoke_1.0-1.ca2004.1_all.deb
Size: 9856
MD5sum: 65a3d0587c171b767384cf7ed5df3af1
SHA1: 5bf4b5dc624d243b4ab5b58c47c0f9fba2c31ef1
SHA256: 600d27fcf5398127d6e9612b79ea25d830b98f8202cd81637a34fe22383c8d01
SHA512: fcd4ae32e85d453496e1c604abb2327345f8676e54f052c1351568957e304a4a6db00dec7b896360621d958873b05abc22eeef07ba8638150de5c7403d6389c7
Homepage: https://cran.r-project.org/package=dadjoke
Description: CRAN Package 'dadjoke' (Displays a Dad Joke)
 Displays a terrible joke, the kind only dads crack.

Package: r-cran-dadjokeapi
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-beepr, r-cran-curl, r-cran-dplyr, r-cran-png
Suggests: r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-dadjokeapi_1.0.2-1.ca2004.1_all.deb
Size: 145624
MD5sum: 644e411de485c80b996b372b8980106b
SHA1: a705ecb957ef4e3da8e593e80afb5f5193e01be3
SHA256: 05d773483efde584cb87b34aa6a80da7d7d22dc557291b930acdd015c87878c3
SHA512: 2c65a1b0adbd99c06fe748f6f41542c3b14e9ba20ba7a02011899dfd12a4711a048c59dc5f7f723cc530b5090a13ff6240f17ad5b213ccf37a4df862dd12fcbd
Homepage: https://cran.r-project.org/package=dadjokeapi
Description: CRAN Package 'dadjokeapi' (Return a Random Dad Joke)
 What is funnier than a dad joke?  A dad joke in R!  This package utilizes
 the API for <https://icanhazdadjoke.com> and returns dad jokes from several
 API endpoints.

Package: r-cran-dados
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ameshousing, r-cran-babynames, r-cran-dplyr, r-cran-forcats, r-cran-fueleconomy, r-cran-gapminder, r-cran-ggplot2, r-cran-lahman, r-cran-palmerpenguins, r-cran-nasaweather, r-cran-nycflights13, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-yaml, r-cran-pixarfilms
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dados_0.1.0-1.ca2004.1_all.deb
Size: 226176
MD5sum: 92f7e8321ff493c7731a1d90ae549b2d
SHA1: fcec49d73b9173f18e17f7d6b47dad9ccc560fa6
SHA256: cdc4069eb8022aaa0bcfa2ee49a14421418798c616b1a136175eb478f16ebedf
SHA512: e75c5d01eaff9daf1bd50714b06d3990ca6c5b069d542a164907e9df93db847bbed1bb8a48fb5ff2a281bfb69516f4d166725fba89bc50f985fdb0daabbc32a4
Homepage: https://cran.r-project.org/package=dados
Description: CRAN Package 'dados' (Translate Datasets to Portuguese)
 Este pacote traduz os seguintes conjuntos de dados: 'airlines', 'airports',
 'ames_raw', 'AwardsManagers', 'babynames', 'Batting', 'diamonds',
 'faithful', 'fueleconomy', 'Fielding', 'flights', 'gapminder', 'gss_cat',
 'iris', 'Managers', 'mpg', 'mtcars', 'atmos', 'penguins', 'People,
 'Pitching', 'pixarfilms','planes', 'presidential', 'table1', 'table2',
 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather', 'who'.
 English: It provides a Portuguese translated version of the datasets listed
 above.

Package: r-cran-dae
Architecture: all
Version: 3.2.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-plyr, r-cran-trycatchlog
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dae_3.2.30-1.ca2004.1_all.deb
Size: 2011672
MD5sum: b4cc386bf5aab30ea56752c8f6a436a2
SHA1: dfb99570db3833036b450d5a9b10ca016b39f23f
SHA256: 0f63d2b83b6b0acc7558afe969b0be01be7e264915d7e7fe09affc11321b2b37
SHA512: 633062e717c380fc9c6d7bdb1bbb8e68217dc8c7e6e58e6787edba62efb24670210cbf6867aefef666e876f6e95dd820d45af7e03051a46f6a340522a9f0cac3
Homepage: https://cran.r-project.org/package=dae
Description: CRAN Package 'dae' (Functions Useful in the Design and ANOVA of Experiments)
 The content falls into the following groupings: (i) Data, (ii) Factor
 manipulation functions, (iii) Design functions, (iv) ANOVA functions, (v)
 Matrix functions, (vi) Projector and canonical efficiency functions, and
 (vii) Miscellaneous functions. There is a vignette describing how to use the
 design functions for randomizing and assessing designs available as a
 vignette called 'DesignNotes'. The ANOVA functions facilitate the extraction
 of information when the 'Error' function has been used in the call to 'aov'.
 The package 'dae' can also be installed from
 <http://chris.brien.name/rpackages/>.

Package: r-cran-daewr
Architecture: all
Version: 1.2-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringi, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-daewr_1.2-11-1.ca2004.1_all.deb
Size: 425480
MD5sum: 09702fb6f0b6f6f08d599d856caab41c
SHA1: efc6cc9c1a454e4dd179572192babbc8ec938376
SHA256: 070893ab624ee45d1afc02078f9f5ad1aa93cec70472b8a5030bcc82b39695ad
SHA512: b0cf43ef09322b657d84a9849f33fa8164691a0f943bad6e099ce22597da6589591c70283f1e194bfa1f14e896c2e19f10eacc29a149f06123c07106537b0ea6
Homepage: https://cran.r-project.org/package=daewr
Description: CRAN Package 'daewr' (Design and Analysis of Experiments with R)
 Contains Data frames and functions used in the book "Design and Analysis of
 Experiments with R", Lawson(2015) ISBN-13:978-1-4398-6813-3.

Package: r-cran-daff
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-v8, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-daff_1.1.1-1.ca2004.1_all.deb
Size: 1278816
MD5sum: 5304ff1cfe9adccd865523647016450b
SHA1: 4fdf153887a6abb2bd9a4265adb1e862d760100d
SHA256: 3e090b47d72b5dfdd56d79b86b9ba47d4c4a4ed5e5b98e93fde122d44beda200
SHA512: 95c6a41b15928a7e2d3606b7036016f815385b6aac612ccd4b8e9818f5bf9d7fbc704d14781077cb836c08f19ddb399c4f67026725ce27f22485729b3fffcfb9
Homepage: https://cran.r-project.org/package=daff
Description: CRAN Package 'daff' (Diff, Patch and Merge for Data.frames)
 Diff, patch and merge for data frames. Document changes in data sets and use
 them to apply patches. Changes to data can be made visible by using
 render_diff(). The 'V8' package is used to wrap the 'daff.js' 'JavaScript'
 library which is included in the package.

Package: r-cran-dafishr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4168
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fst, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-mixtools, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vroom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dafishr_1.0.1-1.ca2004.1_all.deb
Size: 4131900
MD5sum: 44959cbcaf8d204573af15752a89a3ff
SHA1: b4fa89a8b464b551e87347aa913394f750fcf8cf
SHA256: 3150e051c127aa995dadbfb8e8638e84166da44e8f323ecc005487dfb1b3a57d
SHA512: ebe90a1a3bfbd937940167cf622e80b7ac3067b0fbb001d4e1c136d86352a40bfd245d9fc68171a2f201a5a614b33e6c6b14f9d3b63c8350cca6c6dd55894315
Homepage: https://cran.r-project.org/package=dafishr
Description: CRAN Package 'dafishr' (Download, Wrangle, and Analyse Vessel Monitoring System Data)
 Allows to download, clean and analyse raw Vessel Monitoring System, VMS,
 data from Mexican government. You can use the vms_download() function to
 download raw data, or you can use the sample_dataset provided within the
 package. You can follow the tutorial in the vignette available at
 <https://cbmc-gcmp.github.io/dafishr/index.html>.

Package: r-cran-dafs
Architecture: all
Version: 1.0-38-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-s20x
Filename: pool/dists/focal/main/r-cran-dafs_1.0-38-1.ca2004.1_all.deb
Size: 142024
MD5sum: 2385b0ac3aa299ad705da3df5553681b
SHA1: a74affbcfe16dae42f28f483e1dacd00d367cb8e
SHA256: cd93edce5a9bdbc9c8434e588c0e40560cfb70ce8347ee8295f14dbecb618be8
SHA512: d48308d7b21a8335e7833c793fde1426a2f582a2725e118590978e19b9096969e6a54d353cac87be01fef49af15fd3033571eb10a29e2ab585af7f3c39426dc2
Homepage: https://cran.r-project.org/package=dafs
Description: CRAN Package 'dafs' (Data Analysis for Forensic Scientists)
 Data and miscellanea to support the book "Introduction to Data analysis with
 R for Forensic Scientists." This book was written by James Curran and
 published by CRC Press in 2010 (ISBN: 978-1-4200-8826-7).

Package: r-cran-daghmm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gtools, r-cran-future, r-cran-matrixstats, r-cran-prroc, r-cran-bnlearn, r-cran-bnclassify
Filename: pool/dists/focal/main/r-cran-daghmm_0.1.0-1.ca2004.1_all.deb
Size: 75196
MD5sum: 595b8a12311b0a895a945f89cf9725ec
SHA1: 3078ba943a420436e4be5ea4f118a2687c82b318
SHA256: 61bf2625cb8c48ec1f4351b69962d42c356e338f135180d7f86d97c7e32daa6e
SHA512: 64555acb85eeccaea8a2635584ccc8236737ac6df07d3b378ca5997f4a017559bf9d379976a089c9eda3e0a4d028d80fc7e55f6787f8783318a8250d2449c1e9
Homepage: https://cran.r-project.org/package=dagHMM
Description: CRAN Package 'dagHMM' (Directed Acyclic Graph HMM with TAN Structured Emissions)
 Hidden Markov models (HMMs) are a formal foundation for making probabilistic
 models of linear sequence. They provide a conceptual toolkit for building
 complex models just by drawing an intuitive picture. They are at the heart
 of a diverse range of programs, including genefinding, profile searches,
 multiple sequence alignment and regulatory site identification. HMMs are the
 Legos of computational sequence analysis. In graph theory, a tree is an
 undirected graph in which any two vertices are connected by exactly one
 path, or equivalently a connected acyclic undirected graph. Tree represents
 the nodes connected by edges. It is a non-linear data structure. A poly-tree
 is simply a directed acyclic graph whose underlying undirected graph is a
 tree. The model proposed in this package is the same as an HMM but where the
 states are linked via a polytree structure rather than a simple path.

Package: r-cran-dagirlite
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4377
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dagirlite_0.1.0-1.ca2004.1_all.deb
Size: 4337648
MD5sum: 016334226161be591834cf313557cfc6
SHA1: 022a9a80c81fb7df5ff2009f58d9e688f37c7f4c
SHA256: 98af764b0eefff20b6edf26020b4358153022862c4658960fa8d98c17ccd0845
SHA512: 8b49d6436375d647187c1b958e83e9dd1143d13f55c529e921bfe671f18dbfb162ffe388efe6f78611d82084e46a9ab18dd31975f2fe17ce5b874fa7ef5a5356
Homepage: https://cran.r-project.org/package=dagirlite
Description: CRAN Package 'dagirlite' (Spatial Vector Data for Danmarks Administrative GeografiskeInddeling DAGI)
 Compressed spatial vector data originally from
 <https://dawadocs.dataforsyningen.dk/> saved as Simple Features, SF, objects
 with data on population, age and gender from Statistics Denmark
 <https://www.dst.dk/da/>.

Package: r-cran-dagitty
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-v8, r-cran-jsonlite, r-cran-boot, r-cran-mass
Suggests: r-cran-igraph, r-cran-knitr, r-cran-base64enc, r-cran-testthat, r-cran-markdown, r-cran-rmarkdown, r-cran-lavaan, r-cran-ccp, r-cran-fastdummies
Filename: pool/dists/focal/main/r-cran-dagitty_0.3-4-1.ca2004.1_all.deb
Size: 353456
MD5sum: c3609a98fb3793ae404bd85ce330397d
SHA1: 19b966bf1d3621bb1f1aa259d6ab65285094a1b5
SHA256: ebe4507073e38eae4814677536c4e331b323ece6a27380961002c00a7e462e45
SHA512: f13dbce94b4ce3a497875a28ac3a8ddd72cd8800483519a9dd204e3b2affa3db52ef9bc056db48506fc6cda136090ddb592cae66dd4a2a020caa38ad36120357
Homepage: https://cran.r-project.org/package=dagitty
Description: CRAN Package 'dagitty' (Graphical Analysis of Structural Causal Models)
 A port of the web-based software 'DAGitty', available at
 <https://dagitty.net>, for analyzing structural causal models (also known as
 directed acyclic graphs or DAGs).  This package computes covariate
 adjustment sets for estimating causal effects, enumerates instrumental
 variables, derives testable implications (d-separation and vanishing
 tetrads), generates equivalent models, and includes a simple facility for
 data simulation.

Package: r-cran-dagr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-dagitty
Filename: pool/dists/focal/main/r-cran-dagr_1.2.1-1.ca2004.1_all.deb
Size: 182688
MD5sum: 46fe9f566f71a391e14a0ce556fa0348
SHA1: 6666b6cc69e5976b078ea04c677282d6fddd0d63
SHA256: 81590933e323e45b150de4e29164a8ff827d7bfe0a7150488f3b9dd6a6e75ae2
SHA512: a9830facf81ee4bf4344d523b2c46862f3ef376c43186859010e11f956b7fe712586eb1e1295f683064e9c7ab1836d85c7089e47f9b7ca9592c4f9b9d092fbc5
Homepage: https://cran.r-project.org/package=dagR
Description: CRAN Package 'dagR' (Directed Acyclic Graphs: Analysis and Data Simulation)
 Draw, manipulate, and evaluate directed acyclic graphs and simulate
 corresponding data, as described in International Journal of Epidemiology
 50(6):1772-1777.

Package: r-cran-dagwood
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dagitty
Suggests: r-cran-ggdag
Filename: pool/dists/focal/main/r-cran-dagwood_0.1.4-1.ca2004.1_all.deb
Size: 28512
MD5sum: b29b3dc7f60a161734cc2613cebaf0bf
SHA1: 8e45f1d06b411e831d87b5f77c70ee59a3b5dd9e
SHA256: 4f0834fa110a3a1f5f2718bd85e4496c05b0b2725be5e750ebc76cb1af73b5c3
SHA512: b207a99971d5198f37d99a42b761c04bda5025bf5780e78834ac35e2f01b4a7d4dc6a354385d7211db00e822f61656dd6547f8360f5ad624f1b9148c833f6ee7
Homepage: https://cran.r-project.org/package=dagwood
Description: CRAN Package 'dagwood' (DAGs with Omitted Objects Displayed (DAGWOOD))
 DAGs With Omitted Objects Displayed (DAGWOOD) is a framework to help reveal
 key hidden assumptions in a causal DAG. This package provides an
 implementation of the DAGWOOD algorithm. Further description can be found in
 Haber et al (2022) <DOI:10.1016/j.annepidem.2022.01.001>.

Package: r-cran-dail
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-deflatebr, r-cran-dplyr, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-rcurl, r-cran-readr, r-cran-stopwords, r-cran-stringr, r-cran-tidytext
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dail_1.5.2-1.ca2004.1_all.deb
Size: 1376068
MD5sum: ffacf75074d1f888f935f89d9123ac72
SHA1: 2fbb3b29da3eacd91f298f499d504ade277428d6
SHA256: fde971cb770e7ff1e017075793b8cb7e7049199e5f4a677453afc7da64632e14
SHA512: 077f3f5ae272bd243344e86e26f7283ac5abe51d3bbfeaeff2bcd609f9bf8357710e43884c2ded4c0a4e49f5c417dcd6e82a3152e8234c3bb5102739576bb660
Homepage: https://cran.r-project.org/package=dail
Description: CRAN Package 'dail' (Data from Access to Information Law)
 Downloads the public data available from the Brazilian Access to Information
 Law and and performs a search on information requests and appeals made since
 2015.

Package: r-cran-daime
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-daime_2.1.3-1.ca2004.1_all.deb
Size: 370404
MD5sum: b2dda6b08544316b0b2fc0aa145b7be1
SHA1: 5e90700094231227f762850af07deb3736c813f3
SHA256: 927c1d0312bc29ed71d296d6906bcf6ffa12180c7eaf151c6b0b812a20c9865f
SHA512: 326e1d2febefcaf0e33da0c8cd38d6ab6b599736cab09d55bfaddd037a525c93a2ca04070c10703ae32138e5129f0652f0bb4e19bdf145ce1cdddd79b4ef9fc1
Homepage: https://cran.r-project.org/package=DAIME
Description: CRAN Package 'DAIME' (Effects of Changing Deposition Rates)
 Reverse and model the effects of changing deposition rates on geological
 data and rates. Based on Hohmann (2018) <doi:10.13140/RG.2.2.23372.51841> .

Package: r-cran-daiquiri
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1791
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-readr, r-cran-ggplot2, r-cran-scales, r-cran-cowplot, r-cran-rmarkdown, r-cran-reactable, r-cran-xfun
Suggests: r-cran-covr, r-cran-knitr, r-cran-testthat, r-cran-codemetar
Filename: pool/dists/focal/main/r-cran-daiquiri_1.2.0-1.ca2004.1_all.deb
Size: 938652
MD5sum: 47fd6dec63ddb78ea4472781b5f9e10d
SHA1: 230beab4c97f4cfea9ac77015c0254b01c51fdd3
SHA256: fc94d98c240d83956973efd97b312b178f0d66b8fd3b1f183120989d378edb06
SHA512: 5f5d4c81c92cb150be85d39c50aee004e4ec18ceb926fb22ac257c38006c20eba1c45da4b5037fc56762197771d8c4352ac31d52da375251c3285b3c2a9651e8
Homepage: https://cran.r-project.org/package=daiquiri
Description: CRAN Package 'daiquiri' (Data Quality Reporting for Temporal Datasets)
 Generate reports that enable quick visual review of temporal shifts in
 record-level data. Time series plots showing aggregated values are
 automatically created for each data field (column) depending on its contents
 (e.g. min/max/mean values for numeric data, no. of distinct values for
 categorical data), as well as overviews for missing values, non-conformant
 values, and duplicated rows. The resulting reports are shareable and can
 contribute to forming a transparent record of the entire analysis process.
 It is designed with Electronic Health Records in mind, but can be used for
 any type of record-level temporal data (i.e. tabular data where each row
 represents a single "event", one column contains the "event date", and other
 columns contain any associated values for the event).

Package: r-cran-dair
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1970
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-beepr, r-cran-cli, r-cran-data.table, r-cran-fs, r-cran-gargle, r-cran-glue, r-cran-googlecloudstorager, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magick, r-cran-pdftools, r-cran-purrr, r-cran-readtext, r-cran-stringr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-ngram, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dair_1.0.1-1.ca2004.1_all.deb
Size: 1343616
MD5sum: 9121f553f98385c888e1db9b4838e896
SHA1: bc3d000492deca26f5f3dec81edb99d870675ca5
SHA256: 5d4d9d737ef5da52478c01bfff337b09c4c82f213b7ec9b8e2f6f08ef25d27cd
SHA512: a6667c664616f9ca28879ff6222af688de53650e1b0b67464af1516a62219fcad2c431f5d4c22cc88ff28837e6c422d025f0ec04c1d4e6b541455d9cd3a9d68f
Homepage: https://cran.r-project.org/package=daiR
Description: CRAN Package 'daiR' (Interface with Google Cloud Document AI API)
 R interface for the Google Cloud Services 'Document AI API'
 <https://cloud.google.com/document-ai/> with additional tools for output
 file parsing and text reconstruction. 'Document AI' is a powerful
 server-based OCR service that extracts text and tables from images and PDF
 files with high accuracy. 'daiR' gives R users programmatic access to this
 service and additional tools to handle and visualize the output. See the
 package website <https://dair.info/> for more information and examples.

Package: r-cran-daisieprep
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3524
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-phylobase, r-cran-ggplot2, r-cran-scales, r-bioc-ggtree, r-cran-daisie, r-cran-castor, r-cran-tibble, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-diversitree, r-cran-corhmm, r-cran-tidyr, r-cran-dplyr, r-cran-ggimage
Filename: pool/dists/focal/main/r-cran-daisieprep_1.0.0-1.ca2004.1_all.deb
Size: 2061044
MD5sum: 9f5725f56d66f39e386d873e594f93d7
SHA1: d589d891a11108f0b6724ac0fd38a678165bec33
SHA256: a0649a9fba67563b7a228fff81553fb51fa2769412defe10376c5000f0152d01
SHA512: bc8ada0423ab4ab371753ab8016032f1acc5766c553b529d8f16fc6cb4eedd1289d93e36cb9d4c090cc631f58e7b75fd450c607d63a93e9a3dd7778b87bf0d5e
Homepage: https://cran.r-project.org/package=DAISIEprep
Description: CRAN Package 'DAISIEprep' (Extracts Phylogenetic Island Community Data from PhylogeneticTrees)
 Extracts colonisation and branching times of island species to be used for
 analysis in the R package 'DAISIE'. It uses phylogenetic and endemicity data
 to extract the separate island colonists and store them.

Package: r-cran-daks
Architecture: all
Version: 2.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-relations, r-cran-sets
Filename: pool/dists/focal/main/r-cran-daks_2.1-3-1.ca2004.1_all.deb
Size: 711080
MD5sum: 1a52f4899509f79b738916c147d73248
SHA1: c9643ba15739cb8f198ea4f7d0046f783de90f27
SHA256: ebcfe5f80856c4975553529c7f22ca7b33b3f3b1205bfc05337bcf637f1b1487
SHA512: 1d27bc92138cf3800829821a8973502891ecbbe8efb43c3f95de80c4ca98bf57c84d4436d0320b5f15cf67087076ab266df08b3d0df025ad1de03553002b86d3
Homepage: https://cran.r-project.org/package=DAKS
Description: CRAN Package 'DAKS' (Data Analysis and Knowledge Spaces)
 Functions and an example dataset for the psychometric theory of knowledge
 spaces.  This package implements data analysis methods and procedures for
 simulating data and quasi orders and transforming different formulations in
 knowledge space theory.  See package?DAKS for an overview.

Package: r-cran-dalex
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1412
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-ibreakdown, r-cran-ingredients
Suggests: r-cran-gower, r-cran-ranger, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dalex_2.4.3-1.ca2004.1_all.deb
Size: 1096436
MD5sum: a4e47447039f56fb52ea6928bcb33917
SHA1: f8b2199c5494c58276fd4f3dfadcd6f64e331569
SHA256: b766dadff3df048ad7e9baefc47821e1fe08b064025fc0d01f685c1b588aafea
SHA512: cbfa7f4b80f24905422ac8dbcafb8e1d5de1fcad32860dbb0205c85029cef4b4b7c20bf8b651ee044cb435c6bd92cf47227e41b9235dfa76b7299aa313f5c7ed
Homepage: https://cran.r-project.org/package=DALEX
Description: CRAN Package 'DALEX' (moDel Agnostic Language for Exploration and eXplanation)
 Any unverified black box model is the path to failure. Opaqueness leads to
 distrust.  Distrust leads to ignoration. Ignoration leads to rejection.
 DALEX package xrays any model and helps to explore and explain its
 behaviour.  Machine Learning (ML) models are widely used and have various
 applications in classification or regression. Models created with boosting,
 bagging, stacking or similar techniques are often used due to their high
 performance. But such black-box models usually lack direct interpretability.
 DALEX package contains various methods that help to understand the link
 between input variables and model output. Implemented methods help to
 explore the model on the level of a single instance as well as a level of
 the whole dataset.  All model explainers are model agnostic and can be
 compared across different models.  DALEX package is the cornerstone for
 'DrWhy.AI' universe of packages for visual model exploration.  Find more
 details in (Biecek 2018) <arXiv:1806.08915>.

Package: r-cran-dalextra
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dalex, r-cran-ggplot2
Suggests: r-cran-auditor, r-cran-gbm, r-cran-ggrepel, r-cran-h2o, r-cran-iml, r-cran-ingredients, r-cran-lime, r-cran-localmodel, r-cran-mlr, r-cran-mlr3, r-cran-ranger, r-cran-recipes, r-cran-reticulate, r-cran-rmarkdown, r-cran-rpart, r-cran-stacks, r-cran-xgboost, r-cran-testthat, r-cran-tidymodels
Filename: pool/dists/focal/main/r-cran-dalextra_2.3.0-1.ca2004.1_all.deb
Size: 350180
MD5sum: 95aade0bcaeb66dfe84b80c4df59f185
SHA1: ed75285f00818f159585443211b7847d40734716
SHA256: 70f85967593941c71250a7b30f4ab9fbc76c1b1c9df73b94e0aa02abc5fac42f
SHA512: 515c189003afe817c09d35ee98adcd328e4045f5f0c31544cbdd5c747ac6b176fbe48b9bdb8ebf0d9aabe7c4b6d340e905a2130b083998fddd3c3a96be598051
Homepage: https://cran.r-project.org/package=DALEXtra
Description: CRAN Package 'DALEXtra' (Extension for 'DALEX' Package)
 Provides wrapper of various machine learning models.  In applied machine
 learning, there is a strong belief that we need to strike a balance between
 interpretability and accuracy.  However, in field of the interpretable
 machine learning, there are more and more new ideas for explaining black-box
 models, that are implemented in 'R'.  'DALEXtra' creates 'DALEX' Biecek
 (2018) <arXiv:1806.08915> explainer for many type of models including those
 created using 'python' 'scikit-learn' and 'keras' libraries, and 'java'
 'h2o' library.  Important part of the package is Champion-Challenger
 analysis and innovative approach to model performance across subsets of test
 data presented in Funnel Plot.

Package: r-cran-dalmatian
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4834
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-ggmcmc, r-cran-dglm, r-cran-tidyr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-rjags, r-cran-nimble, r-cran-knitr, r-cran-ggplot2, r-cran-dclone
Filename: pool/dists/focal/main/r-cran-dalmatian_1.0.0-1.ca2004.1_all.deb
Size: 3926784
MD5sum: 17317015e5bdf7cfc2251f84ebfe8fba
SHA1: e1d98bfa43f9a345e35757253bf18709116de344
SHA256: 970b72e5e3724b4f55f8f0a3152003be4671f8b24e5f1d595331f3406c2b59ed
SHA512: d619c491a45fff5b888fd0992a88af2b075bfd838179ae243a8dd1aca893e4d0a7bcf7957857dc5064b6072220a16e15e3e8489fd1dacf18ce6e71777d894219
Homepage: https://cran.r-project.org/package=dalmatian
Description: CRAN Package 'dalmatian' (Automating the Fitting of Double Linear Mixed Models in 'JAGS'and 'nimble')
 Automates fitting of double GLM in 'JAGS'. Includes automatic generation of
 'JAGS' scripts, running 'JAGS' or 'nimble' via the 'rjags' and 'nimble'
 package, and summarizing the resulting output. For further information see
 Bonner, Kim, Westneat, Mutzel, Wright, and Schofield
 <doi:10.18637/jss.v100.i10>.

Package: r-cran-dalsm
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cubicbsplines, r-cran-mass, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-dalsm_0.9.1-1.ca2004.1_all.deb
Size: 366776
MD5sum: 9ae7b14450c7ab4d364848d0a0b7b29d
SHA1: a04bb73fc1c249e9be6c9902581e1d25694dc3bd
SHA256: 27537c4d9fc9c5e3a6a164cdc34412e54c418c7e6398b711058872fd2e1b3e69
SHA512: 7268ecbefe8505c219c6438072cd8e3d4a99698f637e8d7c65c1733f4e73dd47bc02b743cec170c4695c6a654975265170d2ed7839b6e0ec19e8568bcbacb019
Homepage: https://cran.r-project.org/package=DALSM
Description: CRAN Package 'DALSM' (Nonparametric Double Additive Location-Scale Model (DALSM))
 Fit of a double additive location-scale model with a nonparametric error
 distribution from possibly right- or interval censored data. The additive
 terms in the location and dispersion submodels, as well as the unknown error
 distribution in the location-scale model, are estimated using Laplace
 P-splines. For more details, see Lambert (2021)
 <doi:10.1016/j.csda.2021.107250>.

Package: r-cran-daltoolbox
Architecture: all
Version: 1.2.727-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fnn, r-cran-caret, r-cran-class, r-cran-cluster, r-cran-dbscan, r-cran-dplyr, r-cran-e1071, r-cran-ggplot2, r-cran-nnet, r-cran-randomforest, r-cran-reshape, r-cran-tree
Filename: pool/dists/focal/main/r-cran-daltoolbox_1.2.727-1.ca2004.1_all.deb
Size: 328892
MD5sum: 1a4d481bb370bc90398935da21bd24d1
SHA1: 4d6b3095cc8ec4351b3d38403a347b7fa043e03d
SHA256: 0bbc1d1e67290948c25fa6a2bc7f5d417657e877f81f504fbb198a08d5a3030c
SHA512: 7e7441aecfec6dba300861d89e3d8e08e003fde7815767470dd3088dea14417e290803ca800ab6a275754ec36966c39c60682c81a55a2ee48ccef71168c5291e
Homepage: https://cran.r-project.org/package=daltoolbox
Description: CRAN Package 'daltoolbox' (Leveraging Experiment Lines to Data Analytics)
 The natural increase in the complexity of current research experiments and
 data demands better tools to enhance productivity in Data Analytics. The
 package is a framework designed to address the modern challenges in data
 analytics workflows. The package is inspired by Experiment Line concepts. It
 aims to provide seamless support for users in developing their data mining
 workflows by offering a uniform data model and method API. It enables the
 integration of various data mining activities, including data preprocessing,
 classification, regression, clustering, and time series prediction. It also
 offers options for hyper-parameter tuning and supports integration with
 existing libraries and languages. Overall, the package provides researchers
 with a comprehensive set of functionalities for data science, promoting ease
 of use, extensibility, and integration with various tools and libraries.
 Information on Experiment Line is based on Ogasawara et al. (2009)
 <doi:10.1007/978-3-642-02279-1_20>.

Package: r-cran-daltoolboxdp
Architecture: all
Version: 1.2.727-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tspredit, r-cran-daltoolbox, r-cran-leaps, r-cran-fselector, r-cran-doby, r-cran-glmnet, r-cran-smotefamily, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-daltoolboxdp_1.2.727-1.ca2004.1_all.deb
Size: 190856
MD5sum: 3ea03aced7a3d9c67fee913b9250faae
SHA1: 474465c19f8d09ed2e7c89149691f0e27f39e72d
SHA256: 67943f8872998c666281ff9653e47cbdde0bd735d80ba6e76a2759349cdf6b9f
SHA512: 59470a90e9df72c7c74c13228157a0a8f55b4a4fbfba36464e3d85bcd065546e538856266eeeda893b181ce2f30e96dbcd3f4f02d3cd8c22bd73b05c9a0dc5f1
Homepage: https://cran.r-project.org/package=daltoolboxdp
Description: CRAN Package 'daltoolboxdp' (Python-Based Extensions for Data Analytics Workflows)
 Provides Python-based extensions to enhance data analytics workflows,
 particularly for tasks involving data preprocessing and predictive modeling.
 Includes tools for data sampling, transformation, feature selection,
 balancing strategies (e.g., SMOTE), and model construction.  These
 capabilities leverage Python libraries via the reticulate interface,
 enabling seamless integration with a broader machine learning ecosystem.
 Supports instance selection and hybrid workflows that combine R and Python
 functionalities for flexible and reproducible analytical pipelines.  The
 architecture is inspired by the Experiment Lines approach, which promotes
 modularity, extensibility, and interoperability across tools.  More
 information on Experiment Lines is available in Ogasawara et al. (2009)
 <doi:10.1007/978-3-642-02279-1_20>.

Package: r-cran-dam
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dam_0.0.1-1.ca2004.1_all.deb
Size: 9564
MD5sum: 35da45f08aebcd026a738693176c573e
SHA1: e0a747bc19be3fb5781e7fe93ac6f39851f200ae
SHA256: e93c384bd66de80c63863f21280167ca7376cd46ba33fc8fc4226aec52ad2e50
SHA512: 326d81e231fee6326bab06861342b57790819974e7cd5f50513c692216ffdd228aab645b93190ccc6e6ca90909d61b6c2a41d459429a4fd7166d3f2edc351db5
Homepage: https://cran.r-project.org/package=dam
Description: CRAN Package 'dam' (Data Analysis Metabolomics)
 A collection of functions which aim to assist common computational workflow
 for analysis of matabolomic data..

Package: r-cran-damagedetective
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-matrix, r-cran-patchwork, r-cran-scales, r-cran-rcpphnsw, r-cran-rlang, r-cran-tidyr, r-cran-withr
Suggests: r-cran-seurat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-damagedetective_1.0.0-1.ca2004.1_all.deb
Size: 854404
MD5sum: 7b0f798c9f3f3bdc266e9a0d46d6d21f
SHA1: 2693bb7a6d7588dc129a729646961f8d4cc9a598
SHA256: ab3219ac786685e1acda33bd38ea07a57c5dd8e668f33d089f6beeca386cca0a
SHA512: 8b02ee1c11912237a5fc8789a0cf30341f172efe6fea15a1efe9cb625132976b30121086757f3591cf24af9bab3761babe0e92d034724ff2bbd03b7873b02f16
Homepage: https://cran.r-project.org/package=DamageDetective
Description: CRAN Package 'DamageDetective' (Detecting Damaged Cells in Single-Cell RNA Sequencing Data)
 Detects and filters damaged cells in single-cell RNA sequencing (scRNA-seq)
 data using a novel approach inspired by 'DoubletFinder'. Damage is detected
 by measuring the extent to which cells deviate from artificially damaged
 profiles of themselves, simulated through the probabilistic escape of
 cytoplasmic RNA. As output, a damage score ranging from 0 to 1 is given for
 each cell providing an intuitive scale for filtering that is standardised
 across cell types, samples, and experiments.

Package: r-cran-damaoi
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1997
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fnn, r-cran-magrittr, r-cran-sf, r-cran-units, r-cran-smoothr, r-cran-terra, r-cran-tibble, r-cran-tidyr, r-cran-shiny, r-cran-leaflet, r-cran-shinydashboard
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-damaoi_0.1-1.ca2004.1_all.deb
Size: 1752568
MD5sum: 28f03889cd6e18331ba632c6c093e112
SHA1: ad36638b26ffde8b703c1ab8fafd6096f7a7a3e9
SHA256: 07f90794946bf6545134a2accc80a4446bfca12078ecf83e5dc760917c6cdc65
SHA512: 8e914f3fca46403df31d1445834a0c02aaf59a807207fafb54e919372ee7f4d334e9364960f3906cfa02c054a20f798a3d6b0025a18e9751c8e145cce8a8dd87
Homepage: https://cran.r-project.org/package=damAOI
Description: CRAN Package 'damAOI' (Create an 'Area of Interest' Around a Constructed Dam forComparative Impact Evaluations)
 Define a spatial 'Area of Interest' (AOI) around a constructed dam using
 hydrology data.  Dams have environmental and social impacts, both positive
 and negative.  Current analyses of dams have no consistent way to specify at
 what spatial extent we should evaluate these impacts.  'damAOI' implements
 methods to adjust reservoir polygons to match satellite-observed surface
 water areas, plot upstream and downstream rivers using elevation data and
 accumulated river flow, and draw buffers clipped by river basins around
 reservoirs and relevant rivers.  This helps to consistently determine the
 areas which could be impacted by dam construction, facilitating comparative
 analysis and informed infrastructure investments.

Package: r-cran-damiann
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-damiann_1.0.0-1.ca2004.1_all.deb
Size: 128264
MD5sum: 8fefddd9dd484ec8ba81d4b8cd49b371
SHA1: c205204ac6d07032025b2b6e2a00cc6e17ad72f1
SHA256: 3b1e22b2bd575e3522df9c30cc5c4a878949842faaff2fa643fe774e5eeba97d
SHA512: 8c141acb49e2b6c6113a894da0816e723f0282a9e30e6a8d134d0e9d6cc02634e2ec6c152542fe10136c7630dfd57508701f64d9680492ba4436c7d505d0b44c
Homepage: https://cran.r-project.org/package=DamiaNN
Description: CRAN Package 'DamiaNN' (Neural Network Numerai)
 Interactively train neural networks on Numerai, <https://numer.ai/>, data.
 Generate tournament predictions and write them to a CSV.

Package: r-cran-damisc
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2570
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-car, r-cran-effects, r-cran-ggplot2, r-cran-mass, r-cran-nnet, r-cran-xtable, r-cran-boot, r-cran-optiscale, r-cran-aiccmodavg, r-cran-latticeextra, r-cran-coda, r-cran-clarketest, r-cran-haven, r-cran-survey, r-cran-janitor, r-cran-tidyr, r-cran-tidyselect, r-cran-tibble, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-jtools, r-cran-dt, r-cran-srvyr
Suggests: r-cran-cardata, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-damisc_1.7.2-1.ca2004.1_all.deb
Size: 1896208
MD5sum: ed94e329f4f661dd661f2c065c47a4e4
SHA1: 5191274fb7cb4e88ac425a72ca48e30d073bfe7d
SHA256: da288f2d772dc5d5873d5587baea07e93cf1f861561f772beae54f38bddf1bad
SHA512: 1bc34ef214c1b547372712bad123e9c02a901e2b6e7b66f7c548faa7155523467595d2cbb935958bb0efffb3abb18dabb624170c632ae78b3d459eb820f3ef47
Homepage: https://cran.r-project.org/package=DAMisc
Description: CRAN Package 'DAMisc' (Dave Armstrong's Miscellaneous Functions)
 Miscellaneous set of functions I use in my teaching either at the University
 of Western Ontario or the Inter-university Consortium for Political and
 Social Research (ICPSR) Summer Program in Quantitative Methods.  Broadly,
 the functions help with presentation and interpretation of LMs and GLMs, but
 also implement some new tools like Alternating Least Squares Optimal Scaling
 for dependent variables, a Bayesian analog to the ALSOS algorithm.  There
 are also tools to help understand interactions in both LMs and binary GLMs.

Package: r-cran-damocles
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caper, r-cran-ape, r-cran-desolve, r-cran-matrixstats, r-cran-expm, r-cran-picante, r-cran-matrix, r-cran-hmisc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-damocles_2.3-1.ca2004.1_all.deb
Size: 150496
MD5sum: 0241b6043a64ce879493cba3477d6976
SHA1: c2853d1720d3d314414ab03b088989db00618b39
SHA256: 8faa7808164e299db2f5567888bdd405d01eae4e5580a09faee0d5e78ae33f18
SHA512: f2ab3bac54efa383f6c2d25e9b44feed13f78040880ab4abf7daf8d48afc3cb0280bcfe825123602ce3cc68cef96f5a5ba1e55bc9a2e1afb83842d6a5afcc33a
Homepage: https://cran.r-project.org/package=DAMOCLES
Description: CRAN Package 'DAMOCLES' (Dynamic Assembly Model of Colonization, Local Extinction andSpeciation)
 Simulates and computes (maximum) likelihood of a dynamical model of
 community assembly that takes into account phylogenetic history.

Package: r-cran-dampack
Architecture: all
Version: 1.0.2.1000-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ellipse, r-cran-dplyr, r-cran-scales, r-cran-stringr, r-cran-mgcv, r-cran-truncnorm, r-cran-triangle, r-cran-ggrepel, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-lintr, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-dampack_1.0.2.1000-1.ca2004.1_all.deb
Size: 3390628
MD5sum: 754870ecd46d5010fc6609e670069578
SHA1: a44aa47d5df7b7a9f834beab28dcf5057017fd38
SHA256: f4e41743881380577dfaf14478b6d612c4a8a3e311d975d5ee089ac0265319da
SHA512: 6d68cace18a26fe0f61cfdaf370754c6ee561fdeea45c511c2f9c7971d6c7a9975f4e58fb2b22cb780c1558c3c7ae51a3e35485558241a8480d97021ce5b66b2
Homepage: https://cran.r-project.org/package=dampack
Description: CRAN Package 'dampack' (Decision-Analytic Modeling Package)
 A suite of functions for analyzing and visualizing the health economic
 outputs of mathematical models.  This package was developed with funding
 from the National Institutes of Allergy and Infectious Diseases of the
 National Institutes of Health under award no. R01AI138783. The content of
 this package is solely the responsibility of the authors and does not
 necessarily represent the official views of the National Institutes of
 Health. The theoretical underpinnings of 'dampack''s functionality are
 detailed in Hunink et al. (2014) <doi:10.1017/CBO9781139506779>.

Package: r-cran-damr
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-behavr, r-cran-data.table, r-cran-readr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-ggetho, r-cran-zeitgebr
Filename: pool/dists/focal/main/r-cran-damr_0.3.8-1.ca2004.1_all.deb
Size: 167356
MD5sum: 719d596c9ff014a0b6bc57e923f54f9c
SHA1: a0dd4806ee43777fe3c70e0522d291646099e0e5
SHA256: d71e541b78a8d4f9febe25b984a7ae8f3286cee90ee5c547aa7821408ab2f635
SHA512: d41e6668b95a96d670e138dac0b473285bbeb7a17ff5344f453b4c9d5465cdfd2bf90056453992cada944ea403fd211b5df19c6447e2bf1f8909c84e4bdf7488
Homepage: https://cran.r-project.org/package=damr
Description: CRAN Package 'damr' (Interface to Drosophila Activity Monitor System Result Files)
 Loads behavioural data from the widely used Drosophila Activity Monitor
 System (DAMS, TriKinetics <https://trikinetics.com/>) into the rethomics
 framework.

Package: r-cran-dams
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3466
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-fauxpas, r-cran-janitor, r-cran-readxl
Suggests: r-cran-ggplot2, r-cran-maps, r-cran-mapproj, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dams_0.3.0-1.ca2004.1_all.deb
Size: 3157640
MD5sum: e9f49c4d2fbec1476b8f59c2d83606e6
SHA1: 0e187247c4b7119cdfe9816a609b54760665368b
SHA256: b291a02ceb834d58df588f88cde4eb88886ee531576addc9fbf468c301e1044d
SHA512: 116b1af7d5bfd73cfe49241da2078abb68b22c1cf9349db13aaef6e3110f87ed39fa36e68c7e8cca371af8bab0686a85a4a0b3c9db59bdf8e5340db9f01f4d8d
Homepage: https://cran.r-project.org/package=dams
Description: CRAN Package 'dams' (Dams in the United States from the National Inventory of Dams(NID))
 The single largest source of dams in the United States is the National
 Inventory of Dams (NID) <http://nid.usace.army.mil> from the US Army Corps
 of Engineers. Entire data from the NID cannot be obtained all at once and
 NID's website limits extraction of more than a couple of thousand records at
 a time. Moreover, selected data from the NID's user interface cannot not be
 saved to a file. In order to make the analysis of this data easier, all the
 data from NID was extracted manually. Subsequently, the raw data was checked
 for potential errors and cleaned. This package provides sample cleaned data
 from the NID and provides functionality to access the entire cleaned NID
 data.

Package: r-cran-dandefa
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gplots, r-cran-polycor
Filename: pool/dists/focal/main/r-cran-dandefa_1.6.1-1.ca2004.1_all.deb
Size: 155336
MD5sum: 10d38a6011b2eaa184f6bff233c218b3
SHA1: 7d0e943388e378aa5393aa46d3808989f373d503
SHA256: 170d6525029a21325fd5997fcf7b1bc21ba4ca99fc54332ed56745c51c1a20a2
SHA512: bbec695b05adf79d57ced80545c72e40ffab0563741350795b0ce5cddb2db1c2a965424dae3d0a40395b25580b97b313a734c32f56baca5f9ad64b384190fd1f
Homepage: https://cran.r-project.org/package=DandEFA
Description: CRAN Package 'DandEFA' (Dandelion Plot for R-Mode Exploratory Factor Analysis)
 Contains the function used to create the Dandelion Plot. Dandelion Plot is a
 visualization method for R-mode Exploratory Factor Analysis.

Package: r-cran-dani
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-epi
Filename: pool/dists/focal/main/r-cran-dani_0.1-1-1.ca2004.1_all.deb
Size: 38252
MD5sum: 89d160cb9ac998d3131c47eecba25e1e
SHA1: 60924aae37341cfb05f0fab93864c59d108d12e2
SHA256: cffa1d38c6f74c15ff53959f719642a923617b87b5a13f18a96e1406e4b3784c
SHA512: 254ac6cd604cd969d902d74e178a564fa3857997bb1437c463286ba295a8f0ab5969a7ea25bf2094a7e98c5fc266d864bab227b72a3727b756bd1ca6487526b4
Homepage: https://cran.r-project.org/package=dani
Description: CRAN Package 'dani' (Design and Analysis of Non-Inferiority Trials)
 Provides tools to help the design and analysis of resilient non-inferiority
 trials. These include functions for sample size calculations and analyses of
 trials, with either a risk difference, risk ratio or arc-sine difference
 margin, and a function to run simulations to design a trial with the methods
 described in Quartagno et al. (2019) <arXiv:1905.00241>.

Package: r-cran-danielbiostatistics10th
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-e1071, r-cran-pracma, r-cran-vcd
Suggests: r-cran-bsda, r-cran-car, r-cran-desctools, r-cran-mblm, r-cran-psych, r-cran-reshape2, r-cran-robslopes, r-cran-survival
Filename: pool/dists/focal/main/r-cran-danielbiostatistics10th_0.2.6-1.ca2004.1_all.deb
Size: 554520
MD5sum: f801d579cb341e8d0a0f8687558b3087
SHA1: 33c2bdbdcbc4c8939a1efd6b730adb1ed54047b7
SHA256: 89f0a473a7f31fa89095d91ee227ee4f880f49e939b4ea116e300373841d8378
SHA512: 1cce60fc12c1335aecfb652cf568667ccadd6eb3f04ea1332f1eab70ae5ddef7ddf67d721808a36568afe47ea63f81ef8150e777b45adb1207e1644a3a8443d1
Homepage: https://cran.r-project.org/package=DanielBiostatistics10th
Description: CRAN Package 'DanielBiostatistics10th' (Functions for Wayne W. Daniel's Biostatistics, Tenth Edition)
 Functions to accompany Wayne W. Daniel's Biostatistics: A Foundation for
 Analysis in the Health Sciences, Tenth Edition.

Package: r-cran-danstat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-danstat_0.2.0-1.ca2004.1_all.deb
Size: 110388
MD5sum: 41315a3ba5110181262ae1ac5b240837
SHA1: 9ac0ca202dd43a3ace23666dfb54499609a761c4
SHA256: b0b7e027b1c7d3891ca7713f93647a28523e2a9e72d5783974e8165447e390ee
SHA512: 5f78343a8c63f38176cdff8adbff028466632b936ccc83255c094a4ca5bea7d7ec81eb4904c7891c637b3f9d975ee336a45468aa5979c2c5d14aa190cf6ad823
Homepage: https://cran.r-project.org/package=danstat
Description: CRAN Package 'danstat' (R Client for the Statistics Denmark Databank API)
 The purpose of the package is to enable an R function interface into the
 Statistics Denmark Databank API mainly for research purposes.  The
 Statistics Denmark Databank API has four endpoints, see here for more
 information and testing the API in their console:
 <https://www.dst.dk/en/Statistik/brug-statistikken/muligheder-i-statistikbanken/api>.
 This package mimics the structure of the API and provides four main
 functions to match the functionality of the API endpoints.

Package: r-cran-dapper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesplot, r-cran-checkmate, r-cran-furrr, r-cran-memoise, r-cran-posterior, r-cran-progressr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dapper_1.0.1-1.ca2004.1_all.deb
Size: 82392
MD5sum: 68bca7b25f68dd77d0f0e3a0f8e5d4e7
SHA1: 14a2637647b86c955c6cb5445aa7fa4a9de108f6
SHA256: e5409cd0232650950cc53a2c076efcb5e9334e9575d3337a5418c9dc336f99be
SHA512: 63040e7f6c43c057d5347b5dbf630d924cdffb40c640cd467ac6340a21588aa4323861d2dfb2362f79c8efdea29459e661f135e621854b868139c01bab08c022
Homepage: https://cran.r-project.org/package=dapper
Description: CRAN Package 'dapper' (Data Augmentation for Private Posterior Estimation)
 A data augmentation based sampler for conducting privacy-aware Bayesian
 inference. The dapper_sample() function takes an existing sampler as input
 and automatically constructs a privacy-aware sampler. The process of
 constructing a sampler is simplified through the specification of four
 independent modules, allowing for easy comparison between different privacy
 mechanisms by only swapping out the relevant modules. Probability mass
 functions for the discrete Gaussian and discrete Laplacian are provided to
 facilitate analyses dealing with privatized count data. The output of
 dapper_sample() can be analyzed using many of the same tools from the
 'rstan' ecosystem. For methodological details on the sampler see Ju et al.
 (2022) <doi:10.48550/arXiv.2206.00710>, and for details on the discrete
 Gaussian and discrete Laplacian distributions see Canonne et al. (2020)
 <doi:10.48550/arXiv.2004.00010>.

Package: r-cran-dapr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dapr_0.0.3-1.ca2004.1_all.deb
Size: 143412
MD5sum: 3d24cdfe7202f5334fdb0b585df88c18
SHA1: 3709c3e6ff985adde00c793951fa849e2883427f
SHA256: 29565ae956cb13ff6bb0f684e89e8c9d12eeb33c27aed6a2c60d3da778928776
SHA512: 67162e0174c267bc02c0a13509758c140ab5df5bb336c56b005d74b9a01dab9f3a483036df10094798667d794e6789ad92498636355607aaaf79efa0a22cf63c
Homepage: https://cran.r-project.org/package=dapr
Description: CRAN Package 'dapr' ('purrr'-Like Apply Functions Over Input Elements)
 An easy-to-use, dependency-free set of functions for iterating over elements
 of various input objects. Functions are wrappers around base
 apply()/lapply()/vapply() functions but designed to have similar
 functionality to the mapping functions in the 'purrr' package
 <https://purrr.tidyverse.org/>. Specifically, function names more explicitly
 communicate the expected class of the output and functions also allow for
 the convenient shortcut of '~ .x' instead of the more verbose 'function(.x)
 .x'.

Package: r-cran-daqapo
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-stringdist, r-cran-stringr, r-cran-tidyr, r-cran-xesreadr, r-cran-rlang, r-cran-bupar, r-cran-readr, r-cran-edear, r-cran-magrittr, r-cran-purrr, r-cran-glue, r-cran-miniui, r-cran-shiny, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-daqapo_0.3.2-1.ca2004.1_all.deb
Size: 184012
MD5sum: d2a374044dd7dbca6a48b95f051ccfae
SHA1: df3733445ea688542785736b833d8108eaf82f29
SHA256: 5d42b4cbab961847586b15aeddac4ecff6f785cb64c2d975d905496397522ef9
SHA512: e8896b71cc07ce43b93e0e884de784ae5a48d72484ddc20bb388a6b23ab573dc97abc7ef73799f3f8ca8115e7710066343f85641ba2148d35c6b1a29377a6312
Homepage: https://cran.r-project.org/package=daqapo
Description: CRAN Package 'daqapo' (Data Quality Assessment for Process-Oriented Data)
 Provides a variety of methods to identify data quality issues in
 process-oriented data, which are useful to verify data quality in a process
 mining context. Builds on the class for activity logs implemented in the
 package 'bupaR'. Methods to identify data quality issues either consider
 each activity log entry independently (e.g. missing values, activity
 duration outliers,...), or focus on the relation amongst several activity
 log entries (e.g. batch registrations, violations of the expected activity
 order,...).

Package: r-cran-darand
Architecture: all
Version: 0.0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-darand_0.0.1.2-1.ca2004.1_all.deb
Size: 29620
MD5sum: d952b7d8c867073a8ddde16eedc27e84
SHA1: c1897258bc5431a065c4a295fae27c8a79c89b7d
SHA256: c284b0f60a791a2f9d4a538de8a9eef825d5a18c8b6c49cdff8f908e4fac97bf
SHA512: 479d25f39a4f184ca111e3611b7039899d8f3ccb9ad65ca53c453053de713bbd69ececab77c232ba527569702c665ff8bb95f9d8d4ed195681128e6b455f8a42
Homepage: https://cran.r-project.org/package=DArand
Description: CRAN Package 'DArand' (Differential Analysis with Random Reference Genes)
 Differential Analysis of short RNA transcripts that can be modeled by either
 Poisson or Negative binomial distribution.  The statistical methodology
 implemented in this package is based on the random selection of references
 genes (Desaulle et al. (2021) <arXiv:2103.09872>).

Package: r-cran-dark
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dark_0.9.9-1.ca2004.1_all.deb
Size: 391920
MD5sum: c01241efe8bb65af0d00ecae4a0b2d7f
SHA1: 31a672b61204b1fa2fb3e8481636636aa881b2c5
SHA256: 4a44ebcd51bb2359340dbfb5b536742d545c53fff5b1226069bd6829a3e8c81b
SHA512: aee71f2c434076fc409988fcbab025d58acea362a49a44817275231773d16eaec40bc7731205b240b410a03854142f910235160bef7c87e35920d7ae791c3fd7
Homepage: https://cran.r-project.org/package=Dark
Description: CRAN Package 'Dark' (The Analysis of Dark Adaptation Data)
 The recovery of visual sensitivity in a dark environment is known as dark
 adaptation. In a clinical or research setting the recovery is typically
 measured after a dazzling flash of light and can be described by the Mahroo,
 Lamb and Pugh (MLP) model of dark adaptation. The functions in this package
 take dark adaptation data and use nonlinear regression to find the
 parameters of the model that 'best' describe the data. They do this by
 firstly, generating rapid initial objective estimates of data adaptation
 parameters, then a multi-start algorithm is used to reduce the possibility
 of a local minimum. There is also a bootstrap method to calculate parameter
 confidence intervals. The functions rely upon a 'dark' list or object. This
 object is created as the first step in the workflow and parts of the object
 are updated as it is processed.

Package: r-cran-darkdiv
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-darkdiv_0.3.0-1.ca2004.1_all.deb
Size: 35424
MD5sum: 04a206af96879edbe3420b03b4bb15eb
SHA1: f4a18df54a1e9a7f5b78ef616c2b13b88117d449
SHA256: e49b8442e8a60c4fe9cd547b7196f65354da611b27a141b648917c8d335ac840
SHA512: 6ace23607ef5e09ab4019d5809ce2eb9c7ba20bbc9789b1d99ddafe8e697fae7bb6b88369bfa786bc866fd5735a2770f152be1b1c67bc87b0d65ae51b4228583
Homepage: https://cran.r-project.org/package=DarkDiv
Description: CRAN Package 'DarkDiv' (Estimating Dark Diversity and Site-Specific Species Pools)
 Estimation of dark diversity and site-specific species pools using species
 co-occurrences.  It includes implementations of probabilistic dark diversity
 based on the Hypergeometric distribution, as well as estimations based on
 the Beals index, which can be transformed to binary predictions using
 different thresholds, or transformed into a favorability index. All methods
 include the possibility of using a calibration dataset that is used to
 estimate the indication matrix between pairs of species, or to estimate dark
 diversity directly on a single dataset. See De Caceres and Legendre (2008)
 <doi:10.1007/s00442-008-1017-y>, Lewis et al. (2016)
 <doi:10.1111/2041-210X.12443>, Partel et al. (2011)
 <doi:10.1016/j.tree.2010.12.004>, Real et al. (2017)
 <doi:10.1093/sysbio/syw072> for further information.

Package: r-cran-darksky
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-gridextra, r-cran-gtable, r-cran-ggplot2, r-cran-plyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-darksky_1.3.0-1.ca2004.1_all.deb
Size: 40000
MD5sum: bf6d4d63c167bcfa8beabcf3ece5117a
SHA1: a373bd727c92e329f2214d040da5531e86345096
SHA256: 7a57c300bd321bc9cafc9ece19453af429645603df2002d10aa587356890282f
SHA512: 3b0c381469ba547c99e1c658c7e7e61138a65175c5a05dc6f271ec04f3bbc5fc3e2e09f4a1d92fcee23572cc5f4abb9888fe6a949bd5b6b5e380a3f596d06f14
Homepage: https://cran.r-project.org/package=darksky
Description: CRAN Package 'darksky' (Tools to Work with the 'Dark Sky' 'API')
 Provides programmatic access to the 'Dark Sky' 'API'
 <https://darksky.net/dev/docs>, which provides current or historical global
 weather conditions.

Package: r-cran-dartr.base
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3838
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-ggplot2, r-cran-dplyr, r-cran-dartr.data, r-cran-ape, r-cran-crayon, r-cran-data.table, r-cran-foreach, r-cran-gridextra, r-cran-patchwork, r-cran-plyr, r-cran-reshape2, r-bioc-snprelate, r-cran-stampp, r-cran-stringr, r-cran-tidyr, r-cran-mass, r-cran-snpassoc, r-bioc-snpstats, r-cran-raster
Suggests: r-cran-boot, r-cran-devtools, r-cran-directlabels, r-cran-dismo, r-cran-doparallel, r-cran-expm, r-cran-gdistance, r-cran-gganimate, r-cran-ggrepel, r-cran-gtable, r-cran-ggthemes, r-cran-gplots, r-cran-hardyweinberg, r-cran-hierfstat, r-cran-igraph, r-cran-iterpc, r-cran-knitr, r-cran-label.switching, r-cran-lattice, r-cran-leaflet, r-cran-leaflet.minicharts, r-cran-markdown, r-cran-mmod, r-cran-networkd3, r-cran-pegas, r-cran-pheatmap, r-cran-plotly, r-cran-poppr, r-cran-proxy, r-cran-purrr, r-bioc-qvalue, r-cran-rcolorbrewer, r-cran-rcpp, r-cran-rgl, r-cran-rmarkdown, r-cran-rrblup, r-cran-scales, r-cran-seqinr, r-cran-sf, r-cran-shinybs, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-siber, r-cran-stringi, r-cran-terra, r-cran-tibble, r-cran-vcfr, r-cran-zoo, r-cran-viridis, r-cran-fields, r-cran-testthat, r-cran-ggtern
Filename: pool/dists/focal/main/r-cran-dartr.base_1.0.5-1.ca2004.1_all.deb
Size: 3648796
MD5sum: fff8ba4bf1809aced629d2b937cb6c5a
SHA1: 5bdfb16a3a6415c6293658f8c26b83543d979515
SHA256: b52aef5d8b876574830a1062458c20198ae20af213eb53bb7cc7c1cfc8c9c25c
SHA512: 83741076afe72e0e319fa282290563c66c254c1c6f42dc4beee986435533b8d24a3bdf1f07e729cfa92ffad120461375594e59a5da6a149500986957483bac0f
Homepage: https://cran.r-project.org/package=dartR.base
Description: CRAN Package 'dartR.base' (Analysing 'SNP' and 'Silicodart' Data - Basic Functions)
 Facilitates the import and analysis of 'SNP' (single nucleotide
 'polymorphism') and 'silicodart' (presence/absence) data. The main focus is
 on data generated by 'DarT' (Diversity Arrays Technology), however, data
 from other sequencing platforms can be used once 'SNP' or related fragment
 presence/absence data from any source is imported. Genetic datasets are
 stored in a derived 'genlight' format (package 'adegenet'), that allows for
 a very compact storage of data and metadata. Functions are available for
 importing and exporting of 'SNP' and 'silicodart' data, for reporting on and
 filtering on various criteria (e.g. 'callrate', 'heterozygosity',
 'reproducibility', maximum allele frequency). Additional functions are
 available for visualization (e.g. Principle Coordinate Analysis) and
 creating a spatial representation using maps. 'dartR.base' is the 'base'
 package of the 'dartRverse' suits of packages.  To install the other
 packages, we recommend to install the 'dartRverse' package, that supports
 the installation of all packages in the 'dartRverse'.  If you want to cite
 'dartR', you find the information by typing citation('dartR.base') in the
 console.

Package: r-cran-dartr.captive
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 869
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-dartr.base, r-cran-dartr.data, r-cran-dartr.sim, r-cran-crayon, r-cran-ggplot2, r-cran-patchwork, r-cran-stringr, r-cran-data.table
Suggests: r-cran-siber, r-cran-gplots, r-cran-fields, r-cran-igraph, r-cran-reshape2, r-cran-rrblup, r-cran-scales, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dartr.captive_1.0.2-1.ca2004.1_all.deb
Size: 845808
MD5sum: ccc3fc76253e6a2aa937832dc047ce68
SHA1: cad9759623fd0cdf0f967ad1f21fb6ca816c2e66
SHA256: dc3fd07f38e6ca0125df4361dbee8141bfc77f6711ba60f10aa50d916663949d
SHA512: eb2fde562828d80f33d009f243d9f65fdd970e5696fe6e2b188d225e5d524bad462b0360c319c179385d2f7028fb8af200c5bba6436ef832a46d20fb629ca203
Homepage: https://cran.r-project.org/package=dartR.captive
Description: CRAN Package 'dartR.captive' (Analysing 'SNP' Data to Support Captive Breeding)
 Functions are provided that facilitate the analysis of SNP (single
 nucleotide polymorphism) data to answer questions regarding captive breeding
 and relatedness between individuals. 'dartR.captive' is part of the
 'dartRverse' suit of packages.  Gruber et al. (2018)
 <doi:10.1111/1755-0998.12745>.  Mijangos et al. (2022)
 <doi:10.1111/2041-210X.13918>.

Package: r-cran-dartr.data
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5902
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-dartr.data_1.0.8-1.ca2004.1_all.deb
Size: 5373372
MD5sum: bf3815c464f6cb95333749007d53f854
SHA1: 0e7b3050c165fddae6e5b346b51ee88d422290df
SHA256: 541fb565adbfea4e67110fc6d843f76c4493315139224b0923a1adc9cf6394a8
SHA512: 504ecdc4d4bd8e189f3f244dae8f548579e043461789c583ab831ca20e24606248b55ab3a56ce089ef1d40a9bc0e610558439b63664372114a6ee4e37a40539a
Homepage: https://cran.r-project.org/package=dartR.data
Description: CRAN Package 'dartR.data' (Auxiliary Data Package for Our Main Package 'dartR')
 Data package for 'dartR'. Provides data sets to run examples in 'dartR'.
 This was necessary due to the size limit imposed by 'CRAN'. The data in
 'dartR.data' is needed to run the examples provided in the 'dartR'
 functions.  All available data sets are either based on actual data (but
 reduced in size) and/or simulated data sets to allow the fast execution of
 examples and demonstration of the functions.

Package: r-cran-dartr.popgen
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1052
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-dartr.base, r-cran-dartr.data, r-cran-mass, r-cran-dplyr, r-cran-patchwork, r-cran-crayon, r-cran-ggplot2, r-cran-data.table, r-cran-stringr, r-cran-furrr, r-cran-future, r-cran-ggdendro
Suggests: r-cran-siber, r-cran-expm, r-cran-fields, r-cran-gplots, r-cran-gridextra, r-cran-igraph, r-cran-iterpc, r-cran-label.switching, r-cran-leaflet, r-cran-plyr, r-cran-proxy, r-cran-purrr, r-bioc-qvalue, r-cran-raster, r-cran-reshape2, r-cran-scales, r-bioc-snpstats, r-cran-tidyr, r-cran-viridis, r-cran-zoo, r-cran-gsubfn, r-cran-sp
Filename: pool/dists/focal/main/r-cran-dartr.popgen_1.0.0-1.ca2004.1_all.deb
Size: 1031268
MD5sum: 8535af0d6b19f4d83d317fb77ee35c11
SHA1: 02bb0207d65f35f357cf464394b9701ecd64f718
SHA256: 96aea2fbe67b24c96e645aff90e7110b4749312b8ac45a9e4e6e0b7affa4384d
SHA512: 570a01a0669e64bc66cec231968ded942b197bd7a9a88864dabbe4586fed2bc464fb5b802c6f354a1256990a2b0624a31a52dc52fca1bc67aa7ffdb56835ef19
Homepage: https://cran.r-project.org/package=dartR.popgen
Description: CRAN Package 'dartR.popgen' (Analysing 'SNP' and 'Silicodart' Data Generated by Genome-WideRestriction Fragment Analysis)
 Facilitates the analysis of SNP (single nucleotide polymorphism) and
 silicodart (presence/absence) data. 'dartR.popgen' provides a suit of
 functions to analyse such data in a population genetics context. It provides
 several functions to calculate population genetic metrics and to study
 population structure. Quite a few functions need additional software to be
 able to run (gl.run.structure(), gl.blast(), gl.LDNe()). You find detailed
 description in the help pages how to download and link the packages so the
 function can run the software. 'dartR.popgen' is part of the the
 'dartRverse' suit of packages.  Gruber et al. (2018)
 <doi:10.1111/1755-0998.12745>.  Mijangos et al. (2022)
 <doi:10.1111/2041-210X.13918>.

Package: r-cran-dartr.sexlinked
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-dartr.base, r-cran-dartr.data, r-cran-doparallel, r-cran-ggplot2, r-cran-foreach, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-dartr.sexlinked_1.0.5-1.ca2004.1_all.deb
Size: 502740
MD5sum: 2c13fb44477e63fe21ab4e914e82ec80
SHA1: bcda16892b1a94d6526f6d2efd4113438e0b40a5
SHA256: c60a69cfd94d6e9ad0fc45c29ebece1abf2571e04916d04bcfc03ae58895fcf9
SHA512: 1d26157ad11ef58a220d5bf6e308a5a7e11ed80f6d7933829cc0c9e351b326669aacb5ac368ca962f665c725a6205aaa77694a5fdc30a6a0a308d228932e7dd5
Homepage: https://cran.r-project.org/package=dartR.sexlinked
Description: CRAN Package 'dartR.sexlinked' (Analysing SNP Data to Identify Sex-Linked Markers)
 Identifies, filters and exports sex linked markers using 'SNP' (single
 nucleotide polymorphism) data. To install the other packages, we recommend
 to install the 'dartRverse' package, that supports the installation of all
 packages in the 'dartRverse'.  If you want understand the applied rational
 to identify sexlinked markers and/or want to cite 'dartR.sexlinked', you
 find the information by typing citation('dartR.sexlinked') in the console.

Package: r-cran-dartr.sim
Architecture: all
Version: 0.70-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1380
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adegenet, r-cran-dartr.base, r-cran-dartr.data, r-cran-ggplot2, r-cran-shiny, r-cran-fields, r-cran-stringi, r-cran-stringr, r-cran-data.table, r-cran-rcpp, r-cran-shinybs, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-hierfstat, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-dartr.sim_0.70-1.ca2004.1_all.deb
Size: 1368172
MD5sum: 52deab708f5462d4f61ecb8473814d0f
SHA1: 8a321f73126ee82bc3e00767f49662430e6c044f
SHA256: 0ea72604ee3b7278b8425d75b197a8f04bb2cd18d4e649797036fba789c090a9
SHA512: fb02c1600720d22022a439bb67d776e41f245f4c393ac5ab8e678b3c1a46fe769c2a882e7e946fd9bc69595c84b8a5456b1b84df90188b09a4af9b58db363a9f
Homepage: https://cran.r-project.org/package=dartR.sim
Description: CRAN Package 'dartR.sim' (Computer Simulations of 'SNP' Data)
 Allows to simulate SNP data using genlight objects. For example, it is
 straight forward to simulate a simple drift scenario with exchange of
 individuals between two populations or create a new genlight object based on
 allele frequencies of an existing genlight object.

Package: r-cran-dartr.spatial
Architecture: all
Version: 0.78-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1311
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adegenet, r-cran-dartr.base, r-cran-dartr.data, r-cran-crayon, r-cran-stampp, r-cran-raster, r-cran-sp, r-cran-tidyr, r-cran-vegan, r-cran-mass, r-cran-ggplot2, r-cran-data.table
Suggests: r-cran-mmod, r-cran-dismo, r-cran-gdistance, r-cran-gplots, r-cran-rrblup, r-cran-terra, r-cran-sf, r-cran-popgenreport
Filename: pool/dists/focal/main/r-cran-dartr.spatial_0.78-1.ca2004.1_all.deb
Size: 1297328
MD5sum: 888ab860ea6de2257074d9da8c9ed10c
SHA1: ad822708472dff7706665343f972da37d619a43b
SHA256: e694a0c77f9e8642cd420b0e414e83317a771b44b8a37e85a9e89617f3ff9b71
SHA512: 724aa3753045fa874cb2856292dc5ca0193be82159946f4e827c97251023360e60598c304b4b2fe6c2a021eab64774c786f63d3082727d6a78994fad046fa58a
Homepage: https://cran.r-project.org/package=dartR.spatial
Description: CRAN Package 'dartR.spatial' (Applying Landscape Genomic Methods on 'SNP' and 'Silicodart'Data)
 Provides landscape genomic functions to analyse 'SNP' (single nuclear
 polymorphism) data, such as least cost path analysis and isolation by
 distance.  Therefore each sample needs to have coordinate data attached
 (lat/lon) to be able to run most of the functions. 'dartR.spatial' is a
 package that belongs to the 'dartRverse' suit of packages and depends on
 'dartR.base' and 'dartR.data'.

Package: r-cran-dartr
Architecture: all
Version: 2.9.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6097
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adegenet, r-cran-ggplot2, r-cran-dplyr, r-cran-dartr.data, r-cran-ape, r-cran-crayon, r-cran-data.table, r-cran-fields, r-cran-foreach, r-cran-gridextra, r-cran-mass, r-cran-patchwork, r-cran-plyr, r-cran-popgenreport, r-cran-raster, r-cran-reshape2, r-cran-shiny, r-bioc-snprelate, r-cran-sp, r-cran-stampp, r-cran-stringr, r-cran-tidyr, r-cran-gsubfn, r-cran-purrr
Suggests: r-cran-boot, r-cran-devtools, r-cran-directlabels, r-cran-dismo, r-cran-doparallel, r-cran-expm, r-cran-gdistance, r-cran-ggtern, r-cran-gganimate, r-cran-ggrepel, r-cran-gtable, r-cran-ggthemes, r-cran-gplots, r-cran-hardyweinberg, r-cran-hierfstat, r-cran-igraph, r-cran-iterpc, r-cran-knitr, r-cran-label.switching, r-cran-lattice, r-cran-leaflet, r-cran-leaflet.minicharts, r-cran-markdown, r-cran-mmod, r-cran-networkd3, r-cran-pegas, r-cran-pheatmap, r-cran-plotly, r-cran-poppr, r-cran-proxy, r-bioc-qvalue, r-cran-rcolorbrewer, r-cran-rcpp, r-cran-rgl, r-cran-rmarkdown, r-cran-rrblup, r-cran-scales, r-cran-seqinr, r-cran-shinybs, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-siber, r-bioc-snpstats, r-cran-stringi, r-cran-terra, r-cran-tibble, r-cran-vcfr, r-cran-zoo, r-cran-viridis, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-dartr_2.9.9.5-1.ca2004.1_all.deb
Size: 5297780
MD5sum: 71341d6e9e9e686bbd6861ad5bd9e416
SHA1: 6b010119c30c376c3924ec00f170fef69a992bff
SHA256: a91b64f3489f69d1eb888b380f738c0b4b9966966e5b0ce52bc0768d30c9c194
SHA512: 69d5c8e0ab645fb66d44b38ef7f9ab88c8a705421e2e673c5eb15e90ef16972bd1154bb2b75cfcafb5c6efe171cd39c5c7f4153dda33fed5263c639fd1d2600c
Homepage: https://cran.r-project.org/package=dartR
Description: CRAN Package 'dartR' (Importing and Analysing 'SNP' and 'Silicodart' Data Generated byGenome-Wide Restriction Fragment Analysis)
 Functions are provided that facilitate the import and analysis of 'SNP'
 (single nucleotide polymorphism) and 'silicodart' (presence/absence) data.
 The main focus is on data generated by 'DarT' (Diversity Arrays Technology),
 however, data from other sequencing platforms can be used once 'SNP' or
 related fragment presence/absence data from any source is imported. Genetic
 datasets are stored in a derived 'genlight' format (package 'adegenet'),
 that allows for a very compact storage of data and metadata. Functions are
 available for importing and exporting of 'SNP' and 'silicodart' data, for
 reporting on and filtering on various criteria (e.g. 'CallRate',
 heterozygosity, reproducibility, maximum allele frequency). Additional
 functions are available for visualization (e.g. Principle Coordinate
 Analysis) and creating a spatial representation using maps. 'dartR' supports
 also the analysis of 3rd party software package such as 'newhybrid',
 'structure', 'NeEstimator' and 'blast'. Since version 2.0.3 we also
 implemented simulation functions, that allow to forward simulate 'SNP'
 dynamics under different population and evolutionary dynamics.
 Comprehensive tutorials and support can be found at our 'github' repository:
 github.com/green-striped-gecko/dartR/. If you want to cite 'dartR', you find
 the information by typing citation('dartR') in the console.

Package: r-cran-dartrverse
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1702
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-rlang, r-cran-devtools, r-cran-rcurl, r-cran-httr
Suggests: r-cran-dartr.base, r-cran-dartr.data, r-cran-dartr.sim, r-cran-dartr.captive, r-cran-dartr.popgen, r-cran-dartr.spatial
Filename: pool/dists/focal/main/r-cran-dartrverse_1.0.6-1.ca2004.1_all.deb
Size: 1686684
MD5sum: 1dac6652a8d42fb3f7ff38660be2786e
SHA1: 895bb6015fe4798b113e99f830514368d7c6c017
SHA256: a709bba11ca302cb7cb44057e82952ed0aace79cfca5ca0672a102ba80e84e65
SHA512: db469747647e3a16e7fb443230332c69e1763cc389909c02d4ca846d5571719e2a4088f9bf977b516958aa61526ee32802c4107886294ef36a203e3d8b1bc6a7
Homepage: https://cran.r-project.org/package=dartRverse
Description: CRAN Package 'dartRverse' (Install and Load the 'dartRverse' Suits of Packages)
 Provides a single function that supports the installation of all packages
 belonging to the 'dartRverse'. The 'dartRverse' is a set of packages that
 work together to analyse SNP (single nuclear polymorphism) data. All
 packages aim to have a similar 'look and feel' and are based on the same
 type of data structure ('genlight'), with additional metadata for loci and
 individuals (samples). For more information visit the 'GitHub' pages
 <https://github.com/green-striped-gecko/dartRverse>.

Package: r-cran-dasguptr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2609
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dasguptr_2.1.0-1.ca2004.1_all.deb
Size: 462764
MD5sum: e4dc3f7349814e2c0e45062bd6ed903c
SHA1: cc5e9e3361bd816ae8ad3e9e5cef43b611be53c2
SHA256: 5b8ee87c00b65ea72f488048490b09ed1cc8ff6aff0eb6a67b3f13a35a03524f
SHA512: fc39bc292a0a7fe17a29c974922387210637d373232b890b39ef319853f02d7b5a32b81890f574283c5b0a4a7c8c207c3a4604db79d1074f8051ae84316303ad
Homepage: https://cran.r-project.org/package=DasGuptR
Description: CRAN Package 'DasGuptR' (Das Gupta Standardisation and Decomposition)
 Implementation of Das Gupta's standardisation and decomposition of
 population rates, as set out "Standardization and decomposition of rates: A
 user’s manual", Das Gupta (1993)
 <https://www2.census.gov/library/publications/1993/demographics/p23-186.pdf>.
 The goal of these methods is to calculate adjusted rates based on
 compositional 'factors' and quantify the contribution of each factor to the
 difference in crude rates between populations. The package offers
 functionality to handle various scenarios for any number of factors and
 populations, where said factors can be comprised of vectors across
 sub-populations (including cross-classified population breakdowns), and with
 the option to specify user-defined rate functions.

Package: r-cran-dash
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 16122
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-fiery, r-cran-routr, r-cran-plotly, r-cran-reqres, r-cran-jsonlite, r-cran-htmltools, r-cran-assertthat, r-cran-digest, r-cran-base64enc, r-cran-mime, r-cran-crayon, r-cran-brotli, r-cran-glue, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-dash_0.9.4-1.ca2004.1_all.deb
Size: 3595344
MD5sum: 7745fe3798ff614cd355d235d8d65116
SHA1: 36bf29f1963f8eac3e98849b52127996514fdb3d
SHA256: 07678c9be086d9b204e4d5303f84ccd56c5455d4de56e580ab3866c8a363af67
SHA512: 205bf97ddee53a5cd7a829dbfa16e7067d6fefb30eea90ec54d0ed507a4dab16767f2149b507c3781f631e2fd41ae39d76fa62f1dcc45034283d8562dc9e45b9
Homepage: https://cran.r-project.org/package=dash
Description: CRAN Package 'dash' (An Interface to the Dash Ecosystem for Authoring Reactive WebApplications)
 A framework for building analytical web applications, Dash offers a pleasant
 and productive development experience. No JavaScript required.

Package: r-cran-dashboard
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rook
Filename: pool/dists/focal/main/r-cran-dashboard_0.1.0-1.ca2004.1_all.deb
Size: 179616
MD5sum: 927ad0a8cb954e673c9ee928c4802091
SHA1: 097d487b0d11851766793becfb84f69ea7280cc1
SHA256: b3b300e7ad6cbb75c489b217802be44ec8db13b15bf56c8675f376f61b46aae0
SHA512: 2c48c32a306ef56296c48638c4002d9a056883f72e149e3c9aa2e37421f1322031e7b5e117a2f398299228e551939e1f532b7d2ad4518c683050cf5d9d74611f
Homepage: https://cran.r-project.org/package=dashboard
Description: CRAN Package 'dashboard' (Interactive Data Visualization with D3.js)
 The dashboard package allows users to create web pages which display
 interactive data visualizations working in a standard modern browser. It
 displays them locally using the Rook server. Nor knowledge about web
 technologies nor Internet connection are required. D3.js is a JavaScript
 library for manipulating documents based on data.  D3 helps the dashboard
 package bring data to life using HTML, SVG and CSS.

Package: r-cran-dashboardthemes
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-lintr, r-cran-knitr, r-cran-rmarkdown, r-cran-glue, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dashboardthemes_1.1.6-1.ca2004.1_all.deb
Size: 88864
MD5sum: ee7076886d372dcfcc26384eac57eb76
SHA1: ed8a8405317af362010d1f00450f5c674939901d
SHA256: 1e2e15ec32743a8bcf3d5b40d31de6cc99c65e4dfc57e0734182a10c2849c996
SHA512: 0005c5196ea5d43d42f509a79dc068cb314f252c017dcb22ca3d8229881ff357f22913ec2956cf88eaf31af5b07be64979343aad4ede7834a2d0a416324c097f
Homepage: https://cran.r-project.org/package=dashboardthemes
Description: CRAN Package 'dashboardthemes' (Customise the Appearance of 'shinydashboard' Applications usingThemes)
 Allows manual creation of themes and logos to be used in applications
 created using the 'shinydashboard' package. Removes the need to change the
 underlying css code by wrapping it into a set of convenient R functions.

Package: r-cran-dashcorecomponents
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11136
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dash, r-cran-dashhtmlcomponents, r-cran-jsonlite, r-cran-plotly, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dashcorecomponents_1.10.0-1.ca2004.1_all.deb
Size: 1659028
MD5sum: e75ae203a4c68803f5a09953772a8adb
SHA1: 913ff599cc2fc03285c56b8490fedf6aecc1c01b
SHA256: 9a54e98dab7cb6083fef5670ba9f450b04a657d131dbaa9c218263a620a08fed
SHA512: 42eae8e08bfa6066e192abab900d9758b7e54b69d5961f1d2dcded477f1ba9a59bd089f13b88a7a5bc056fb35aa6f1d3a5c3e03e52b5ca48056bfbc1ee85e3bd
Homepage: https://cran.r-project.org/package=dashCoreComponents
Description: CRAN Package 'dashCoreComponents' (Core Interactive UI Components for 'Dash')
 'Dash' ships with supercharged components for interactive user interfaces. A
 core set of components, written and maintained by the 'Dash' team, is
 available in the 'dashCoreComponents' package. The source for this package
 is on GitHub: plotly/dash-core-components.

Package: r-cran-dashhtmlcomponents
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2353
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dash, r-cran-dashcorecomponents, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dashhtmlcomponents_1.0.3-1.ca2004.1_all.deb
Size: 825276
MD5sum: dfc624d7f4bd05921d8c6772d10d828a
SHA1: ee0246d01b4e6066679f75568822eed64d146ce8
SHA256: c1c9e406be2935fbd760cbf2c64cf5f7af61b5ce7df6adf93fd968434f51e854
SHA512: 91fb3ad2bf4662146cc4672334b017c1ab392e88ff774fc8a8a77fd6daeaaf51f308a50363a8d05256799e71c7e6eeda007d9d896ca9ea8f83428a8dec361398
Homepage: https://cran.r-project.org/package=dashHtmlComponents
Description: CRAN Package 'dashHtmlComponents' (Vanilla HTML Components for 'Dash')
 'Dash' is a web application framework that provides pure Python and R
 abstraction around HTML, CSS, and JavaScript. Instead of writing HTML or
 using an HTML templating engine, you compose your layout using R functions
 within the 'dashHtmlComponents' package. The source for this package is on
 GitHub: plotly/dash-html-components.

Package: r-cran-dashpivottable
Architecture: all
Version: 0.0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3527
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dash, r-cran-dashhtmlcomponents, r-cran-dashtable, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-dashpivottable_0.0.2-1-1.ca2004.1_all.deb
Size: 849256
MD5sum: b4586c42406a9824bd6089d694ddf32e
SHA1: 2fd106eb0171de54c045e651d6301bc79c85af00
SHA256: 9c8bb3db0fdfc9d6cd1d9ae1382ec86e63ba11b92142db0c5404cebfb7719cfb
SHA512: 8fc46e2cfda6487ad5f66be71e66b2814a602d129d03ce6600e228118f2f96dd7a1e7aa0129c5f260ce380f16bf212f33dbd18941d029878abf027a34a140154
Homepage: https://cran.r-project.org/package=dashPivottable
Description: CRAN Package 'dashPivottable' (Interactive React-Based Pivot Tables for Dash)
 Pivot tables are useful for interactive presentation of summary statistics
 computed for data contained in another table. The 'dashPivottable' package
 wraps 'react-pivottable', making it easy to add drag-and-drop tables into
 your Dash for R applications.

Package: r-cran-dashtable
Architecture: all
Version: 4.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6741
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dash, r-cran-dashhtmlcomponents
Filename: pool/dists/focal/main/r-cran-dashtable_4.7.0-1.ca2004.1_all.deb
Size: 1382460
MD5sum: 309b69fd6ab2c0a2219493a71e660b7f
SHA1: 0a6d9d785457290fe85ef394ebd65edfc7c73981
SHA256: 7c80f3adaf413b7f74691b7535e720bb1a7efe62dcc622f52f66a63e4b80cd4a
SHA512: ce1e6de2fcedd20ca56ea9124b169531760a26cf71cc3e372e0301af210acc0052455605880276bcb907a17314081c8fcdd7cf1ea952c44fc86c65a3ac2ba8bf
Homepage: https://cran.r-project.org/package=dashTable
Description: CRAN Package 'dashTable' (Core Interactive Table Component for 'dash')
 An interactive table component designed for editing and exploring large
 datasets, 'dashDataTable' is rendered with standard, semantic HTML <table/>
 markup, which makes it accessible, responsive, and easy to style. This
 component was written from scratch in 'React.js' specifically for the 'dash'
 community. Its API was designed to be ergonomic and its behaviour is
 completely customizable through its properties.

Package: r-cran-dasst
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2443
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dasst_0.3.4-1.ca2004.1_all.deb
Size: 1008428
MD5sum: 326df0ec2a405e5e7083f0e7f8cf9189
SHA1: b85e25df05c170b00669a1886b122bb33f6f0bb8
SHA256: a1a70dcdae9029012ea764de43247d1ca479abe6602e3a8c6103f5c00cc5feaf
SHA512: 18aa013491f1459fb35bc1b0fb39f00ca3a80720cbd0b2d09f83c12f51fc1758aeecfd0e60e70a1a68c4039f2422080957d04c35f2bbf9aad86e457bdafd6461
Homepage: https://cran.r-project.org/package=Dasst
Description: CRAN Package 'Dasst' (Tools for Reading, Processing and Writing 'DSSAT' Files)
 Provides methods for reading, displaying, processing and writing files
 originally arranged for the 'DSSAT-CSM' fixed width format. The 'DSSAT-CSM'
 cropping system model is described at J.W. Jones, G. Hoogenboomb, C.H.
 Porter, K.J. Boote, W.D. Batchelor, L.A. Hunt, P.W. Wilkens, U. Singh, A.J.
 Gijsman, J.T. Ritchie (2003) <doi:10.1016/S1161-0301(02)00107-7>.

Package: r-cran-dat
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-formula, r-cran-magrittr, r-cran-progress, r-cran-aoos
Suggests: r-cran-dplyr, r-cran-lintr, r-cran-knitr, r-cran-rbenchmark, r-cran-nycflights13, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dat_0.5.0-1.ca2004.1_all.deb
Size: 246372
MD5sum: 765721507a03b687e0105f07ece9b5a4
SHA1: 4f958445e074a0ced77db7add28c5c315aa0d4bb
SHA256: 35dbd2f2fbaa2f0416e6acab551ec43c582d37c894634afbf0d10a5117cb629e
SHA512: 4e67938e9bdbdb57df3b4a17d730a7b4cf728086b32b4af12927c9674b5d50166628f78a29a4084cc8f071ae059d6d282663d1d67e0b3a046575395236113153
Homepage: https://cran.r-project.org/package=dat
Description: CRAN Package 'dat' (Tools for Data Manipulation)
 An implementation of common higher order functions with syntactic sugar for
 anonymous function. Provides also a link to 'dplyr' and 'data.table' for
 common transformations on data frames to work around non standard evaluation
 by default.

Package: r-cran-data.table.threads
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-data.table.threads_1.0.1-1.ca2004.1_all.deb
Size: 38056
MD5sum: 869587a826079bb49987ddde9243744e
SHA1: 8fa72e419f6952fcb0b3724b8e6dabbb47397b41
SHA256: 8edf26fba5bce1b874029a803dac08e7845591a8dcb514a098c43ca48a2ff1a3
SHA512: 3b2610c9978f02361ccb6af7c4fb7f47a3c5cd8cb8601cf4a083c869db58ffb66b9f2cc61d2382f0fad606312a59337e46f8860dd5347fab8435e3e948db1f04
Homepage: https://cran.r-project.org/package=data.table.threads
Description: CRAN Package 'data.table.threads' (Analyze Multi-Threading Performance for 'data.table' Functions)
 Assists in finding the most suitable thread count for the various
 'data.table' routines that support parallel processing.

Package: r-cran-data.tree
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2966
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-stringi
Suggests: r-cran-formula, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ape, r-cran-yaml, r-cran-networkd3, r-cran-jsonlite, r-cran-treemap, r-cran-party, r-cran-partykit, r-cran-doparallel, r-cran-foreach, r-cran-htmlwidgets, r-cran-diagrammer, r-cran-mockery, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-data.tree_1.1.0-1.ca2004.1_all.deb
Size: 1202172
MD5sum: cc8eba27237f1ff938bcafa18eabf372
SHA1: 892a4448683cb499d14abb3005baf3571f80f514
SHA256: 0123e770f3064bc906f163c6f5524ec7a12aff7cfaea67d22de15866d545affe
SHA512: f0d22d8a2d32bfecc0f6a44f9868f12e6d6dde6a1945d0a368cbd60f24ce3b10850f8102f107d993c36040c5c6860a9a7fa4d260b1883dd42d2ccdbe781d45a5
Homepage: https://cran.r-project.org/package=data.tree
Description: CRAN Package 'data.tree' (General Purpose Hierarchical Data Structure)
 Create tree structures from hierarchical data, and traverse the tree in
 various orders. Aggregate, cumulate, print, plot, convert to and from
 data.frame and more. Useful for decision trees, machine learning, finance,
 conversion from and to JSON, and many other applications.

Package: r-cran-data.validator
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1602
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertr, r-cran-shiny.semantic, r-cran-knitr, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-r6, r-cran-rlang, r-cran-rmarkdown, r-cran-htmltools, r-cran-htmlwidgets, r-cran-tibble
Suggests: r-cran-covr, r-cran-fixtures, r-cran-fs, r-cran-lintr, r-cran-magrittr, r-cran-rcmdcheck, r-cran-readr, r-cran-shiny, r-cran-spelling, r-cran-targets, r-cran-testthat, r-cran-visnetwork, r-cran-withr
Filename: pool/dists/focal/main/r-cran-data.validator_0.2.1-1.ca2004.1_all.deb
Size: 584416
MD5sum: 65b7fc70def1c2ae19059ad1e35a56d0
SHA1: 14cf3af51d5630d97a465114b643b2e7e7b17771
SHA256: 901934bd7d97dab2c86bf659d4e62ff167796313cae9d80322c36e2316a26462
SHA512: 2257616e58aede706e6a17d670c010ce520d698a47bad722fbace2e7410d5e1b172f52ec903a4d569f13bd95639fa67250c504d26537955ecab4de933a11cafe
Homepage: https://cran.r-project.org/package=data.validator
Description: CRAN Package 'data.validator' (Automatic Data Validation and Reporting)
 Validate dataset by columns and rows using convenient predicates inspired by
 'assertr' package.  Generate good looking HTML report or print console
 output to display in logs of your data processing pipeline.

Package: r-cran-data360r
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-reshape2, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-data360r_1.0.9-1.ca2004.1_all.deb
Size: 29392
MD5sum: e34bae5741cffa65fadfc3113e587441
SHA1: 8545782d79424778a7b496cf3dbe18a0cf8b0087
SHA256: 6923aa7adb69b8e3c9a854e79c163ad205d1d0ad939828d1f06ece2bacf2a05e
SHA512: a1a2678865e361a9ef0883dca7b6702188b243b8c69d6b63d1a3a4cd9722ec81fd3558e3f835058ed1cacfa08ba233d15a5a8c1849c26b1096f617365e95afba
Homepage: https://cran.r-project.org/package=data360r
Description: CRAN Package 'data360r' (Wrapper for 'TCdata360' and 'Govdata360' API)
 Makes it easy to engage with the Application Program Interface (API) of the
 'TCdata360' and 'Govdata360' platforms at <https://tcdata360.worldbank.org/>
 and <https://govdata360.worldbank.org/>, respectively.  These application
 program interfaces provide access to over 5000 trade, competitiveness, and
 governance indicator data, metadata, and related information from sources
 both inside and outside the World Bank Group.  Package functions include
 easier download of data sets, metadata, and related information, as well as
 searching based on user-inputted query.

Package: r-cran-databaseconnector
Architecture: all
Version: 6.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1446
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava, r-cran-sqlrender, r-cran-stringr, r-cran-readr, r-cran-rlang, r-cran-dbi, r-cran-urltools, r-cran-bit64, r-cran-checkmate, r-cran-digest, r-cran-dbplyr
Suggests: r-cran-aws.s3, r-cran-r.utils, r-cran-withr, r-cran-testthat, r-cran-dbitest, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-ssh, r-cran-andromeda, r-cran-dplyr, r-cran-rpostgres, r-cran-odbc, r-cran-duckdb, r-cran-pool, r-cran-parallellogger, r-cran-azurestor
Filename: pool/dists/focal/main/r-cran-databaseconnector_6.4.0-1.ca2004.1_all.deb
Size: 1245780
MD5sum: 2b0e1e8ef525c2fa90a8fd7855da73d6
SHA1: c7b1658586aa21e3b20e68c1b85dc9a94401db94
SHA256: 992c06e6a379a20c484cddaaf355fb0def401c73279caa1edcb273254f7d86b1
SHA512: 0bc6e63e9735f737d00e43023d614e4423fab5b4f6ede440a54c8b187d99faaaf631cf78f736f17d322a8247957f0a49b958f4e9948dd3c5ef58814e9cf6632f
Homepage: https://cran.r-project.org/package=DatabaseConnector
Description: CRAN Package 'DatabaseConnector' (Connecting to Various Database Platforms)
 An R 'DataBase Interface' ('DBI') compatible interface to various database
 platforms ('PostgreSQL', 'Oracle', 'Microsoft SQL Server', 'Amazon
 Redshift', 'Microsoft Parallel Database Warehouse', 'IBM Netezza', 'Apache
 Impala', 'Google BigQuery', 'Snowflake', 'Spark', 'SQLite', and
 'InterSystems IRIS'). Also includes support for fetching data as 'Andromeda'
 objects. Uses either 'Java Database Connectivity' ('JDBC') or other 'DBI'
 drivers to connect to databases.

Package: r-cran-databaseconnectorjars
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7733
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-databaseconnectorjars_1.1.0-1.ca2004.1_all.deb
Size: 7158652
MD5sum: aee068ac8318edc1cbb385d25ec2f5c5
SHA1: 6cf1b72efe37beb558f527222e5a74e35b6b998e
SHA256: 2653698be40b27bbb21efa976e2e7c8bd4c2f40c066cca137c4b0859cc51192b
SHA512: d439e10cd09466a84f6931f2bdd860cce0a2672bf0244d3d971eec0e98e94f310aea9d41b3121388d7f02bbabc08f2dccfac1a600f604464eb69bfa908f68724
Homepage: https://cran.r-project.org/package=DatabaseConnectorJars
Description: CRAN Package 'DatabaseConnectorJars' (JAR Dependencies for the 'DatabaseConnector' Package)
 Provides external JAR dependencies for the 'DatabaseConnector' package.

Package: r-cran-databraryr
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 607
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-getpass, r-cran-httr2, r-cran-keyring, r-cran-lifecycle, r-cran-magick, r-cran-magrittr, r-cran-options, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-xfun
Suggests: r-cran-av, r-cran-ggplot2, r-cran-knitr, r-cran-openssl, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-databraryr_0.6.6-1.ca2004.1_all.deb
Size: 289660
MD5sum: 2146fa9d3414542e1475a8b218fefc99
SHA1: d86defba4e9e9ac41bb372f0097b989f1fbf9e7f
SHA256: bbcbb0efca74fa3ef5838cb40d1f025852bdbd657fee287b8c59102523375c48
SHA512: c5167fb706149396419b881c97fec5242bd7b80b982884f100112095724e6a6185d96e59ccda5a0e4377e000d99229d671b7f5a1d8bf44512ca232ad80ceecd2
Homepage: https://cran.r-project.org/package=databraryr
Description: CRAN Package 'databraryr' (Interact with the 'Databrary.org' API)
 'Databrary.org' is a restricted access repository for research data,
 especially video and audio.  This package provides commands to interact with
 the data stored on 'Databrary.org'.

Package: r-cran-dataclass
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-rlang, r-cran-glue, r-cran-magrittr, r-cran-tibble, r-cran-cli, r-cran-dplyr, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dataclass_1.0.0-1.ca2004.1_all.deb
Size: 57236
MD5sum: fd2248020489565633698f547bc5e1c2
SHA1: adc82f9ecfb3c9d4ccfe4550bd1f55fbcd04c536
SHA256: 1f1522bdea846813078924ccdcf90bd590b8d8e2ab411da4f1d24a0de553fb16
SHA512: 36f44ec005b9aa9fe387b67b10219535e228ec6b1052944479840519925785b983f0136d4eb60971547a18194f4acab0c37325cb609355beadacfe5dc555709b
Homepage: https://cran.r-project.org/package=dataclass
Description: CRAN Package 'dataclass' (Easily Create Structured Lists or Data Frames with InputValidation)
 Easily define templates for lists and data frames that validate each
 element. Specify the expected type (i.e., character, numeric, etc), expected
 length, minimum and maximum values, allowable values, and more for each
 element in your data. Decide whether violations of these expectations should
 throw an error or a warning. This package is useful for validating data
 within R processes which pull from dynamic data sources such as databases
 and web APIs to provide an extra layer of validation around input and output
 data.

Package: r-cran-dataclean
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xlsx, r-cran-xml
Filename: pool/dists/focal/main/r-cran-dataclean_1.0-1.ca2004.1_all.deb
Size: 17484
MD5sum: fbeae19de8d6ea6ec21e7104b7005d40
SHA1: eaf22c076d83aa5d2c9d0a0d0f39ef53e1398827
SHA256: 02b229cd94893ecb5653d888b0a985fa1418428790e7aa5092b23d12b8ee1ee9
SHA512: be4fc5605a04214c4aff305776e021183f91e58afc5fa007bbdcfb3d8dad959b7bdd019aee912b4030f404a7e171f306b3450a2876f468e73b7058ae0511c6c7
Homepage: https://cran.r-project.org/package=DataClean
Description: CRAN Package 'DataClean' (Data Cleaning)
 Includes functions that researchers or practitioners may use to clean raw
 data, transferring html, xlsx, txt data file into other formats. And it also
 can be used to manipulate text variables, extract numeric variables from
 text variables and other variable cleaning processes. It is originated from
 a author's project which focuses on creative performance in online education
 environment. The resulting paper of that study will be published soon.

Package: r-cran-datacleanr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-summarytools, r-cran-dplyr, r-cran-rlang, r-cran-dt, r-cran-magrittr, r-cran-plotly, r-cran-purrr, r-cran-glue, r-cran-formatr, r-cran-rcolorbrewer, r-cran-clipr, r-cran-rstudioapi, r-cran-lubridate, r-cran-shinywidgets, r-cran-htmlwidgets, r-cran-fs, r-cran-shinyfiles, r-cran-bslib
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datacleanr_1.0.5-1.ca2004.1_all.deb
Size: 262916
MD5sum: 24c10defbec60fb2573fc5fd63c246ef
SHA1: 4bbbae54d68386b1320d22d1a0d5bc9729da62f2
SHA256: fc26fca475edc185899b29b6ab146fd35142e0d0d86ede1fc10f2f205f1a6ea0
SHA512: 7e7d10d062f80d405b423fc158aa24c70aae9f4fba3ef732abb5a7d146843b2f34badc99a0209c874649477b3e9f0817ab43beff3bdd9384d8072af87386b1ea
Homepage: https://cran.r-project.org/package=datacleanr
Description: CRAN Package 'datacleanr' (Interactive and Reproducible Data Cleaning)
 Flexible and efficient cleaning of data with interactivity.  'datacleanr'
 facilitates best practices in data analyses and reproducibility with
 built-in features and by translating interactive/manual operations to code.
 The package is designed for interoperability, and so seamlessly fits into
 reproducible analyses pipelines in 'R'.

Package: r-cran-datacombine
Architecture: all
Version: 0.2.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datacombine_0.2.21-1.ca2004.1_all.deb
Size: 117536
MD5sum: 6c5f3835debbc9846604f669d510efec
SHA1: 92460dfa0cb1ab20b1403a02e8348e93c650a378
SHA256: 70dfa6514e38dbf83111006a2756b0397f3ec8f0f62fc67c9e9075e343ee1b5c
SHA512: 9e165cfce0eae8dcf8e30a08a1c3a29ea50397a3ccd71f784adbdbf597c32f0177f95587fcd649eadcfa7eec7592b1af266df3334d9422cbc9b720fd91f4d877
Homepage: https://cran.r-project.org/package=DataCombine
Description: CRAN Package 'DataCombine' (Tools for Easily Combining and Cleaning Data Sets)
 Tools for combining and cleaning data sets, particularly with grouped and
 time series data.

Package: r-cran-datacompare
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2788
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arsenal, r-cran-config, r-cran-data.table, r-cran-devtools, r-cran-dplyr, r-cran-dt, r-cran-explore, r-cran-golem, r-cran-htmltools, r-cran-magrittr, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinywidgets, r-cran-skimr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datacompare_1.0.5-1.ca2004.1_all.deb
Size: 1828928
MD5sum: fc75e378787be7210f2d2a5e06faeab9
SHA1: ec3400111ae6d2a4c0c37aba331eac229e728164
SHA256: 426803b3955c7e1cc2f076d2e3bf8bf92f78e1e777e7dca876cfae4d024b0e76
SHA512: 34356d921afa6d75384acb8d9c0e802c667ce7e1921173390cde8f812b45d1109bc838fb22bd3a89c863c7d721e6328866aa7d4ce8c1a5687fb4bcfdc06bf94f
Homepage: https://cran.r-project.org/package=dataCompare
Description: CRAN Package 'dataCompare' (A 'shiny' App to Compare Two Data Frames)
 A tool developed with the 'Golem' framework which provides an easier way to
 check cells differences between two data frames. The user provides two data
 frames for comparison, selects IDs variables identifying each row of input
 data, then clicks a button to perform the comparison. Several 'R' package
 functions are used to describe the data and perform the comparison in the
 server of the application. The main ones are comparedf() from 'arsenal' and
 skim() from 'skimr'. For more details see the description of comparedf()
 from the 'arsenal' package and that of skim() from the 'skimr' package.

Package: r-cran-datacomparer
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 974
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-knitr, r-cran-stringi, r-cran-markdown
Suggests: r-cran-testthat, r-cran-data.table, r-cran-tibble, r-cran-bit64, r-cran-rmarkdown, r-cran-titanic
Filename: pool/dists/focal/main/r-cran-datacomparer_0.1.4-1.ca2004.1_all.deb
Size: 400232
MD5sum: 02ea7770a6ad28742f340ec3103b6d76
SHA1: d4ad77e1277cf62a6381d53893e35d6f2088f2c8
SHA256: 0cafe6e058656912b28c4f2f7eace0a2f00abf26468816e903bebe1ea81dccd2
SHA512: 0c0b64db8d090f35f134a954dbd50311909ba90a567bc6a5f8665e1fc615b496622992f7f58054a16dd57e7b59f07b11eb97e04c00b14be553233db21962d9c9
Homepage: https://cran.r-project.org/package=dataCompareR
Description: CRAN Package 'dataCompareR' (Compare Two Data Frames and Summarise the Difference)
 Easy comparison of two tabular data objects in R. Specifically designed to
 show differences between two sets of data in a useful way that should make
 it easier to understand the differences, and if necessary, help you work out
 how to remedy them. Aims to offer a more useful output than all.equal() when
 your two data sets do not match, but isn't intended to replace all.equal()
 as a way to test for equality.

Package: r-cran-datacutr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiraldev, r-cran-assertthat, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-rlang, r-cran-tibble, r-cran-reactable
Suggests: r-cran-devtools, r-cran-lintr, r-cran-pkgdown, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-styler, r-cran-usethis, r-cran-covr
Filename: pool/dists/focal/main/r-cran-datacutr_0.2.3-1.ca2004.1_all.deb
Size: 111616
MD5sum: 41f01cfb4d4350fb32d40e506f743ba2
SHA1: 7e2a4991beb55592884dc28d2c896fac4c649c62
SHA256: 514a0124b1e83ad8f1daabe7525e6d138676d045d7a330a495757226896e2c11
SHA512: 6e106dbadef7f76cc3a69bba3e201952a739d6e05e57c81b913a2a76b2b4fb776ab5a61f39c06e2c5a4ec22151404a55568f58b5038426db2107318844842d56
Homepage: https://cran.r-project.org/package=datacutr
Description: CRAN Package 'datacutr' (SDTM Datacut)
 Supports the process of applying a cut to Standard Data Tabulation Model
 (SDTM), as part of the analysis of specific points in time of the data,
 normally as part of investigation into clinical trials. The functions
 support different approaches of cutting to the different domains of SDTM
 normally observed.

Package: r-cran-datadictionary
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chron, r-cran-dplyr, r-cran-haven, r-cran-labelled, r-cran-lubridate, r-cran-openxlsx, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datadictionary_1.0.1-1.ca2004.1_all.deb
Size: 40656
MD5sum: ee53e96228f2a22f8e8f2e40555234e1
SHA1: 4b331900558b241e760b1ea0bc4300a15a3bdc08
SHA256: ec402bdd56b5aea77cd12b97ff7dbb7c5d8f13b6f1dd3ac43e5bfeabb3e67995
SHA512: 8bc3d9e1d19c6a57a783dee51548674fa29ab21cf6e548b27cce0f30638d272f748f5c33a1362f61993cc8604f011e8ca417a92b2771de28d18c500ee765eb37
Homepage: https://cran.r-project.org/package=datadictionary
Description: CRAN Package 'datadictionary' (Create a Data Dictionary)
 Creates a data dictionary from any dataframe or tibble in your R
 environment.  You can opt to add variable labels. You can write the object
 directly to Excel.

Package: r-cran-datadigest
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 616
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-shiny, r-cran-miniui, r-cran-hmisc, r-cran-htmltools, r-cran-haven, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datadigest_1.0.2-1.ca2004.1_all.deb
Size: 146168
MD5sum: 5a0948cafdc3f8e6de431c4f3f093176
SHA1: 3387e29a4e614352a2074baba6ece33fd2bee764
SHA256: be5011f6f8d57bdb5559f01125cef831afb28ce07afe56d5c44b549b0c8ef7b1
SHA512: 721a2a05637cfd62f131c29fd5188f47458ab64a47e3af8beaaed6fc6d6e0a77b364cc28eaf61c6cd8931162fccf1b98d4c201fbe941ce852f955d202fcfab03
Homepage: https://cran.r-project.org/package=datadigest
Description: CRAN Package 'datadigest' (Create an Interactive Data Summary)
 An R interface for Rho's 'web-codebook' 'JavaScript' charting library, which
 provides a simple interactive framework for exploring data. 'datadigest'
 includes two key functions (codebook() and explorer()) that deliver a
 concise summary of every variable in a data frame, along with interactive
 features such as real-time filters, grouping, and highlighting. Each
 function has an associated 'RStudio' addin/'Shiny' app for quick and
 convenient exploration of one or more data frames.

Package: r-cran-datadogr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-anytime, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-rstudioapi, r-cran-testthat, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-datadogr_0.1.2-1.ca2004.1_all.deb
Size: 33164
MD5sum: 07b614f3542f955dcee6ce96e41a074e
SHA1: 42911b63657b51a4ddfc5faedf0778448736d460
SHA256: e07c94b2c49327aba3b8cf8b9a4457cb7b06a377a6303a739a5bf73870945af3
SHA512: 432ccf1fccaa3b08c2dfa65305d388afc89692ad72ff64cb64a7169252530d518ed100762ed722a3a2b07cbe21a80365d7480bd73248c19b3c4fb9ae3bd4daa9
Homepage: https://cran.r-project.org/package=datadogr
Description: CRAN Package 'datadogr' (R Client for 'Datadog' API)
 Query for metrics from 'Datadog' (<https://www.datadoghq.com/>) via its API.

Package: r-cran-datadriftr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-doremi, r-cran-fda.usc
Filename: pool/dists/focal/main/r-cran-datadriftr_1.0.0-1.ca2004.1_all.deb
Size: 302364
MD5sum: 14f033a291cd93564a63ceae64243c94
SHA1: d7e638e61efbc51e30cae29938a4768fbd52e888
SHA256: b7c64d0e505ee164d923fd873d51498a6765449fea2002ebd5e84316bf4d6311
SHA512: 958015654ac9cd1abb1ef3471daffce7a48444149cd3dbcf099b9924c9459b40500bd43d8db4fd1e8e75126ab746a88c8b7765ea768fd7dd793ba7c234fed1ca
Homepage: https://cran.r-project.org/package=datadriftR
Description: CRAN Package 'datadriftR' (Concept Drift Detection Methods for Stream Data)
 A system designed for detecting concept drift in streaming datasets. It
 offers a comprehensive suite of statistical methods to detect concept drift,
 including methods for monitoring changes in data distributions over time.
 The package supports several tests, such as Drift Detection Method (DDM),
 Early Drift Detection Method (EDDM), Hoeffding Drift Detection Methods
 (HDDM_A, HDDM_W), Kolmogorov-Smirnov test-based Windowing (KSWIN) and Page
 Hinkley (PH) tests. The methods implemented in this package are based on
 established research and have been demonstrated to be effective in real-time
 data analysis. For more details on the methods, please check to the
 following sources. Kobylińska et al. (2023) <doi:10.48550/arXiv.2308.11446>,
 S. Kullback & R.A. Leibler (1951) <doi:10.1214/aoms/1177729694>, Gama et al.
 (2004) <doi:10.1007/978-3-540-28645-5_29>, Baena-Garcia et al. (2006)
 <https://www.researchgate.net/publication/245999704_Early_Drift_Detection_Method>,
 Frías-Blanco et al. (2014) <https://ieeexplore.ieee.org/document/6871418>,
 Raab et al. (2020) <doi:10.1016/j.neucom.2019.11.111>, Page (1954)
 <doi:10.1093/biomet/41.1-2.100>, Montiel et al. (2018)
 <https://jmlr.org/papers/volume19/18-251/18-251.pdf>.

Package: r-cran-dataeditr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 721
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-shinyjs, r-cran-bslib, r-cran-rhandsontable, r-cran-rstudioapi, r-cran-htmltools, r-cran-miniui
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dataeditr_0.1.5-1.ca2004.1_all.deb
Size: 367208
MD5sum: 310337b74363203eade038fea786eb13
SHA1: 5328b0cab25e8943f6efa3a6d401be956e3011d9
SHA256: d978a6cf21b8048b2abb3c79e7af903fe0bb96ccb8f0eec8cf1752dd7d075e42
SHA512: b9e65bfada7166bb70b9e34744b7e0e66e446a304c63406855cd49e1e417600736516c0123e5f9cf4787e2dcbf1db1997804f61e1b25e441215cd195ddee3623
Homepage: https://cran.r-project.org/package=DataEditR
Description: CRAN Package 'DataEditR' (An Interactive Editor for Viewing, Entering, Filtering & EditingData)
 An interactive editor built on 'rhandsontable' to allow the interactive
 viewing, entering, filtering and editing of data in R
 <https://dillonhammill.github.io/DataEditR/>.

Package: r-cran-dataexplorer
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3427
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-reshape2, r-cran-scales, r-cran-ggplot2, r-cran-gridextra, r-cran-rmarkdown, r-cran-networkd3
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-jsonlite, r-cran-nycflights13
Filename: pool/dists/focal/main/r-cran-dataexplorer_0.8.3-1.ca2004.1_all.deb
Size: 2416128
MD5sum: 8a2e1918e048e9b268d6333686f49df7
SHA1: 04832fca9a2d316116bedb9f962091bb1f2219ca
SHA256: 895a77763f8e7b5d07dc2ecfd0f47bef7a48cc326cd279c3a75633b4b2c2758c
SHA512: 9fafbf2b180dbc31e4b3d4e46cff7119df98f15b191a5d317419e51ce37db72d5a5d62a2afe673f5482569ead905b001d84d707a9a61ee280859155ffaa27ab9
Homepage: https://cran.r-project.org/package=DataExplorer
Description: CRAN Package 'DataExplorer' (Automate Data Exploration and Treatment)
 Automated data exploration process for analytic tasks and predictive
 modeling, so that users could focus on understanding data and extracting
 insights. The package scans and analyzes each variable, and visualizes them
 with typical graphical techniques. Common data processing methods are also
 available to treat and format data.

Package: r-cran-datafaker
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 977
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-yaml, r-cran-purrr, r-cran-tidygraph, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-glue, r-cran-r6
Suggests: r-cran-dbi, r-cran-charlatan, r-cran-stringr, r-cran-stringi, r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-lintr, r-cran-httr, r-cran-mockery, r-cran-testthat, r-cran-rcmdcheck
Filename: pool/dists/focal/main/r-cran-datafaker_0.1.3-1.ca2004.1_all.deb
Size: 509212
MD5sum: 432627deae58ebe25b4338648a268753
SHA1: 6974e85f991c2dc2d0619ce6459fa53a349b7b26
SHA256: 9b1bd70c6360cafa58eef0bbe33ad9e471b3169893e7d4536dc58e8cb4a3f0c4
SHA512: b03540e3b92dcfdddec9cfb6670e76db73a5a3d4ae987ca99d6b644ebdf60baf043dfce7300cbe9566222a304152478e0aaf5c1d62789d124b7438a22a969ddb
Homepage: https://cran.r-project.org/package=DataFakeR
Description: CRAN Package 'DataFakeR' (Generate Fake Data for Relational Databases)
 Based on provided database description and/or database connection generate
 data sample preserving source structure.

Package: r-cran-dataframeexplorer
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-data.table, r-cran-magrittr, r-cran-openxlsx, r-cran-dplyr, r-cran-plyr, r-cran-tidyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-dataframeexplorer_1.0.2-1.ca2004.1_all.deb
Size: 40584
MD5sum: f00948eab5e87e162a4448ea1ef182a5
SHA1: 889a92bd6483b912ac80e03e58935a3b86e6fb56
SHA256: d9934f0756976ffc7faca0379ad8aceb32e235f662f15a1bc34a8405b7634ca2
SHA512: 29701ced3fe01af5af265c9ef0c6b5bac88ffa00e99a2d96eaee9c6c5e0d93c71904095f17ae10a6b49badb9f29806d67b89778766a52d74e646502e58385f44
Homepage: https://cran.r-project.org/package=dataframeexplorer
Description: CRAN Package 'dataframeexplorer' (Familiarity with Dataframes Before Data Manipulation)
 Real life data is muddy, fuzzy and unpredictable. This makes data
 manipulations tedious and bringing the data to right shape alone is a major
 chunk of work. Functions in this package help us get an understanding of
 dataframes to dramatically reduces data coding time.

Package: r-cran-dataframes2xls
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dataframes2xls_0.4.7-1.ca2004.1_all.deb
Size: 234060
MD5sum: a3c6329f9f61c7b495559ee7bc4234d2
SHA1: 6b373a03a53fe483f69c388650c5d94eaf29b16d
SHA256: 2fd2f845c67b132b5a6aeb844768394914d852a287b043e19d028944c04e8082
SHA512: 72c56bb31411cc413d71a5e203141e05827241d8c7d08441f447e37893edf344cf4be67f961197194605c4b961cceb6c89aa4d8094573be634ddb03829e6213e
Homepage: https://cran.r-project.org/package=dataframes2xls
Description: CRAN Package 'dataframes2xls' (Write Data Frames to Xls Files)
 Writes data frames to xls files. It supports multiple sheets and basic
 formatting.

Package: r-cran-datagovindia
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-plyr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-lubridate, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-datagovindia_1.0.5-1.ca2004.1_all.deb
Size: 68640
MD5sum: 440fb9b0826f10a1ce24e7152afbbe0a
SHA1: 67af392a475e86f706bcbd6c49cbfddbfbcf759f
SHA256: 7832afa74289794c96478f1c32aa61356d37363df098d0090430e44b421ccfcd
SHA512: eb545fa2db2dcfabefff274620ae231f23fa6049247755b1a7656f7a7f6e866ce3e50045a958821b79769e51b8dcf120d548793183ab87304c33ab683c142f58
Homepage: https://cran.r-project.org/package=datagovindia
Description: CRAN Package 'datagovindia' (Data.gov.in API Wrapper)
 This wrapper allows the user to communicate with more than 80,000 API posted
 on data.gov.in - open data platform of the government of India
 <https:data.gov.in/ogpl_apis>.  It also allows the user to search for the
 API required through the universe of the API with a better interface than
 the one the official website provides.  Once a user has the ID by using the
 API discovery functionalities, it allows one to converse with the API using
 a consistent format across all available API.

Package: r-cran-datagovsgr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-data.table, r-cran-dplyr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datagovsgr_1.0.1-1.ca2004.1_all.deb
Size: 54480
MD5sum: 28573a127bc4a6b516b5640f57297686
SHA1: 3ef703c5754c2fac3040e3ec039b7b177285f5b7
SHA256: 68494b013b458c153500df64f7f51da5119e5acebcdcec146905410c7bffc164
SHA512: 97f45d94c1615ae6824e4240b8a2c27c828a33e3291e453f410a431425bd5ac9a9558638d031cbb8dcffac6ff6c67ab3c093d671973852f3435c45a0707d7397
Homepage: https://cran.r-project.org/package=datagovsgR
Description: CRAN Package 'datagovsgR' (Call Real Time APIs from Data Gov Singapore)
 A wrapper for the Data.gov.sg developer resources, which provide real time
 and historical information, ranging from carpark availability to weather
 forecasts. The functions makes the API calls for a given date and time,
 before returning the relevant information in a data frame. All APIs are
 supported, less the IPOS one which is not returning any data. Relevant
 information can be found here <https://data.gov.sg/developer>.

Package: r-cran-dataloader
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-plyr, r-cran-xlsx, r-cran-rchoicedialogs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dataloader_1.3-1.ca2004.1_all.deb
Size: 35400
MD5sum: 9489be23e99fbf26a22364020da53eb4
SHA1: e5c924bad114ef4158e006be0f7bad9636800857
SHA256: 443d1013acd6ae9ed367e0094f540f1d2ae49b103669639895f59f351f0ad7a2
SHA512: 84ce3e52ec756c163ecd1c4256c8ce2cabb42ca7e428828264449fd8d0d70f74e971731edd7470265e7c0fe99942725f7fabfc7f33fc57bc957a31289da6af04
Homepage: https://cran.r-project.org/package=DataLoader
Description: CRAN Package 'DataLoader' (Import Multiple File Types)
 Functions to import multiple files of multiple data file types ('.xlsx',
 '.xls', '.csv', '.txt') from a given directory into R data frames.

Package: r-cran-datamaid
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1602
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-haven, r-cran-htmltools, r-cran-magrittr, r-cran-pander, r-cran-rlang, r-cran-rmarkdown, r-cran-robustbase, r-cran-stringi, r-cran-whoami
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datamaid_1.4.2-1.ca2004.1_all.deb
Size: 819788
MD5sum: a63b154a5c5fe3ddc5f96bd447333e81
SHA1: a83dafce3a7dc1d33d96eeb50f933119781a2320
SHA256: f2434d2ea2a3326b09cfe291d6ec70e7b65bdd78e6435891300b93fb007c051b
SHA512: a1c2e75effa7c22df3bd3ea7ac374124482a7f7afa259838534ef2a4d6e3a5cbbd43bb8ae0c480bfe31e00ff844d8d82e3889714665e491301f580fb2b1a28d7
Homepage: https://cran.r-project.org/package=dataMaid
Description: CRAN Package 'dataMaid' (A Suite of Checks for Identification of Potential Errors in aData Frame as Part of the Data Screening Process)
 Data screening is an important first step of any statistical analysis.
 dataMaid auto generates a customizable data report with a thorough summary
 of the checks and the results that a human can use to identify possible
 errors. It provides an extendable suite of test for common potential errors
 in a dataset.

Package: r-cran-datamart
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 503
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-xml, r-cran-rcurl, r-cran-base64, r-cran-gsubfn, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-datamart_0.5.2-1.ca2004.1_all.deb
Size: 398320
MD5sum: 7e8567916cd809e912f3493caaa8138e
SHA1: 7cb84613fcfec11284ea80ca49be0f0f940ab962
SHA256: 7a9d3190e6ba60ad194f648f9c2dca55b0093e7965bed4c56dff96e116b0e0df
SHA512: 19f2ca81bd97068c4ea949a7e72b3f73f2afe3b481fc837095e3a91cd88e0455ae75674f49511e375a13371ab1f2376c1d56fc6c8a465bb764840ed186b3ce45
Homepage: https://cran.r-project.org/package=datamart
Description: CRAN Package 'datamart' (Unified access to your data sources)
 Provides an S4 infrastructure for unified handling of internal datasets and
 web based data sources. The package is currently in beta; things may break,
 change or go away without warning.

Package: r-cran-datamedios
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-jsonlite, r-cran-rlang, r-cran-wordcloud2, r-cran-tidytext, r-cran-lubridate, r-cran-rvest, r-cran-stringr, r-cran-xml2, r-cran-purrr, r-cran-dt, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-rcmdcheck
Filename: pool/dists/focal/main/r-cran-datamedios_1.2.2-1.ca2004.1_all.deb
Size: 134676
MD5sum: 58cd3f0efab28af9de16fd7e37e72596
SHA1: eb2d9aba73eef2308dfba6a98cc71b0e94a89713
SHA256: 267b368c0e9b4f696a0faa3e067f800c3b1ec3bb3351e41dfd012dede4c355af
SHA512: 82f80502a4a46ea15105a914707444f1d8926e99be5976ce68b3fa522501bf3acac1eeb132a0c8122b44f99e60938dba87d70d7d1aea21978eaf8b72cbe7e9c9
Homepage: https://cran.r-project.org/package=datamedios
Description: CRAN Package 'datamedios' (Scraping Chilean Media)
 A system for extracting news from Chilean media, specifically through Web
 Scapping from Chilean media. The package allows for news searches using
 search phrases and date filters, and returns the results in a structured
 format, ready for analysis.  Additionally, it includes functions to clean
 the extracted data, visualize it, and store it in databases. All of this can
 be done automatically, facilitating the collection and analysis of relevant
 information from Chilean media.

Package: r-cran-datameta
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datameta_0.1.1-1.ca2004.1_all.deb
Size: 172488
MD5sum: 5eb448521e6133dd20c2a0b8521702eb
SHA1: dfdff743c8904bf6035eddac9c33aab10a89bf04
SHA256: 744c466bbb5d50a6fa1977ca9e7db5c09135d788d3fcf211cf71423607e6ace9
SHA512: 0860eb41dd64b88edba9fc81cb54c90d3cf372f2095602a3eb76281a683f9fc05dbdd088353386bead92177587db53d01c64f38e88187ce6ac05f72e6242cb61
Homepage: https://cran.r-project.org/package=dataMeta
Description: CRAN Package 'dataMeta' (Create and Append a Data Dictionary for an R Dataset)
 Designed to create a basic data dictionary and append to the original
 dataset's attributes list. The package makes use of a tidy dataset and
 creates a data frame that will serve as a linker that will aid in building
 the dictionary. The dictionary is then appended to the list of the original
 dataset's attributes. The user will have the option of entering variable and
 item descriptions by writing code or use alternate functions that will
 prompt the user to add these.

Package: r-cran-datametprocess
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4865
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-lubridate, r-cran-rlang, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datametprocess_1.0.5-1.ca2004.1_all.deb
Size: 3468548
MD5sum: 5c17424615c20a51e49772b58b23df80
SHA1: 80a0146cd1bdbde3a249404a9ddca0bb05a20c7b
SHA256: 9aee266ab058159946694efaa2c5022fd9535644cbdddf9c5baebb9d8f7a44f8
SHA512: ac3dba137f739dddba09137574c483c81fc265085dbf4df228c7b996ebf3ad29f309d439b5830dbb8a2387eff429c503bd15921352069bec30c1bfe1da02db27
Homepage: https://cran.r-project.org/package=DataMetProcess
Description: CRAN Package 'DataMetProcess' (Meteorological Data Processing)
 Set of tools aimed at processing meteorological data, converting hourly
 recorded data to daily, monthly and annual data.

Package: r-cran-datamods
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1759
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-classint, r-cran-data.table, r-cran-htmltools, r-cran-phosphoricons, r-cran-reactable, r-cran-readxl, r-cran-rio, r-cran-rlang, r-cran-shiny, r-cran-shinywidgets, r-cran-tibble, r-cran-toastui, r-cran-shinybusy, r-cran-writexl
Suggests: r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat, r-cran-validate
Filename: pool/dists/focal/main/r-cran-datamods_1.5.3-1.ca2004.1_all.deb
Size: 1173552
MD5sum: 35e17b13af97bcc6900b389bc72b8bdc
SHA1: 8b4aae5852d0d6a8752fbe3acd1469bae9fbc314
SHA256: ae2e071108116e8728669e5c83a245133ecc5c61f3291e06de588cbfe59e5ff2
SHA512: 04fecf1b4b0a134c34367b4b4d3c657a542c024aa26f8464647b3840561438bb66289175eb19cf13bcfa23accd4a520a956c0f617009a2f4b985bec4d8d448e2
Homepage: https://cran.r-project.org/package=datamods
Description: CRAN Package 'datamods' (Modules to Import and Manipulate Data in 'Shiny')
 'Shiny' modules to import data into an application or 'addin' from various
 sources, and to manipulate them after that.

Package: r-cran-datamojo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-datamojo_1.0.0-1.ca2004.1_all.deb
Size: 94880
MD5sum: 9b1ba9c8737dd26ddb5078ae7bfa8c2e
SHA1: 6dd424b98b45d4ab6ae76b308cd06e26d58e505d
SHA256: ca5502d11f4e5ec550fa2e8781a3c454f4ed85b1231a1310162c50cc0693b9b1
SHA512: 77880c1eb7a3309b80522dd0724020fbf3b3e1d33f932950cf4efd8217661b587776e7895819d6164f87c76348813f79fdd392e1abd783f3795ab8c1d35cd6d5
Homepage: https://cran.r-project.org/package=dataMojo
Description: CRAN Package 'dataMojo' (Reshape Data Table)
 A grammar of data manipulation with 'data.table', providing a consistent a
 series of utility functions that help you solve the most common data
 manipulation challenges.

Package: r-cran-datana
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3877
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-hmisc
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-datana_1.1.0-1.ca2004.1_all.deb
Size: 3776576
MD5sum: 414abae912886442d24a1f92fb45abca
SHA1: 30357b3ae9a86a063580cd89d1b4dddf8a87f1d2
SHA256: 3e8470b9cfa70c03f51ea91e3c8721d78061667c0a94054f6d07ec24bf6686fa
SHA512: df81ec6eb8803c0261b60e899f007ca634121608d91f611cd818f7202f53065ec71933e16e5829b6e41ad567fb9364eea10e2364151d75e24166a48fb74917fe
Homepage: https://cran.r-project.org/package=datana
Description: CRAN Package 'datana' (Datasets and Functions to Accompany Analisis De Datos Con R)
 Datasets and functions to accompany the book 'Analisis de datos con el
 programa estadistico R: una introduccion aplicada' by Salas-Eljatib (2021,
 ISBN: 9789566086109).  The package helps carry out data management,
 exploratory analyses, and model fitting.

Package: r-cran-datanugget
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dosnow, r-cran-foreach, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-datanugget_1.3.1-1.ca2004.1_all.deb
Size: 78996
MD5sum: e66854d03118d2471c6ba4f421fa16b5
SHA1: 53531141903e2596a43bb12995febf4a97ba7b32
SHA256: e1239e9fe9691932610809b8b6e9fd90566ed0d242a88706da418aea06c5a2fc
SHA512: 927051511e2898b86fe6fc27342263e5af2663a2341f77beba6affcde0d513c60b583357cc0a8b75835bf016f805adff3ecc3f9101edd26271538eb75142b195
Homepage: https://cran.r-project.org/package=datanugget
Description: CRAN Package 'datanugget' (Create, and Refine Data Nuggets)
 Creating, and refining data nuggets.  Data nuggets reduce a large dataset
 into a small collection of nuggets of data, each containing a center
 (location), weight (importance), and scale (variability) parameter. Data
 nugget centers are created by choosing observations in the dataset which are
 as equally spaced apart as possible.  Data nugget weights are created by
 counting the number observations closest to a given data nugget center. We
 then say the data nugget 'contains' these observations and the data nugget
 center is recalculated as the mean of these observations. Data nugget scales
 are created by calculating the trace of the covariance matrix of the
 observations contained within a data nugget divided by the dimension of the
 dataset.  Data nuggets are refined by 'splitting' data nuggets which have
 scales or shapes (defined as the ratio of the two largest eigenvalues of the
 covariance matrix of the observations contained within the data nugget)
 Reference paper: [1] Beavers, T. E., Cheng, G., Duan, Y., Cabrera, J.,
 Lubomirski, M., Amaratunga, D., & Teigler, J. E. (2024). Data Nuggets: A
 Method for Reducing Big Data While Preserving Data Structure. Journal of
 Computational and Graphical Statistics, 1-21. [2] Cherasia, K. E., Cabrera,
 J., Fernholz, L. T., & Fernholz, R. (2022). Data Nuggets in Supervised
 Learning. \emph{In Robust and Multivariate Statistical Methods: Festschrift
 in Honor of David E. Tyler} (pp. 429-449). Cham: Springer International
 Publishing.

Package: r-cran-dataonderivatives
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr2, r-cran-readr, r-cran-tibble, r-cran-vetr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dataonderivatives_0.4.0-1.ca2004.1_all.deb
Size: 28492
MD5sum: a1c101913df4957a93e9ef8d5af40e5a
SHA1: 869c402206e1d9ffe7ba58ad9931ad2280619a84
SHA256: 933448d757e5eef069c465ee87c30adcdbfe0f6766da2901aa95364acf88ef71
SHA512: 24dbaabbe6f17256f0b6dd8be58484cf320aef9852768ef52f4c490f588b8afcd5b4b2d38b040641b0101b02e831eb1e4cb75dcda0e8f464f60f5e49755c11de
Homepage: https://cran.r-project.org/package=dataonderivatives
Description: CRAN Package 'dataonderivatives' (Easily Source Publicly Available Data on Derivatives)
 Post Global Financial Crisis derivatives reforms have lifted the veil off
 over-the-counter (OTC) derivative markets. Swap Execution Facilities (SEFs)
 and Swap Data Repositories (SDRs) now publish data on swaps that are traded
 on or reported to those facilities (respectively). This package provides you
 the ability to get this data from supported sources.

Package: r-cran-dataone
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1566
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xml, r-cran-httr, r-cran-stringi, r-cran-stringr, r-cran-datapack, r-cran-plyr, r-cran-parsedate, r-cran-uuid, r-cran-base64enc, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-digest, r-cran-openssl, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-dataone_2.2.2-1.ca2004.1_all.deb
Size: 703524
MD5sum: ae3100a4c69c3c7dc961bdf195446661
SHA1: 94465380fdac71c467bb2708b287084dec1d1f59
SHA256: 901faf123b29bc765dbefa95e536ef1d97ac650f2ad634cb6b11682e69a71a26
SHA512: c31537d9feeddf67fd2d8c3f182f78481104eb36f92322088bada08f2a3c729c350076ad4782f9c656647336d11037d32bee5b2cd661909b2b2b2a10d925b381
Homepage: https://cran.r-project.org/package=dataone
Description: CRAN Package 'dataone' (R Interface to the DataONE REST API)
 Provides read and write access to data and metadata from the DataONE network
 <https://www.dataone.org> of data repositories.  Each DataONE repository
 implements a consistent repository application programming interface. Users
 call methods in R to access these remote repository functions, such as
 methods to query the metadata catalog, get access to metadata for particular
 data packages, and read the data objects from the data repository. Users can
 also insert and update data objects on repositories that support these
 methods.

Package: r-cran-datapack
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-digest, r-cran-fs, r-cran-redland, r-cran-xml, r-cran-uuid, r-cran-zip
Suggests: r-cran-testthat, r-cran-knitr, r-cran-httr, r-cran-igraph, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datapack_1.4.1-1.ca2004.1_all.deb
Size: 784972
MD5sum: b0b68381105768bdb0c1abd589c95341
SHA1: 901d7e7fabfb42f8162b37db4950b3f71addd938
SHA256: 53dec2d133ab66d008269acd573ec62b675e12ef132e46f188b7a31cce69bfaa
SHA512: 8cf6b4aa4ba9fc3e3af8cdd4683f6f4d735d6797e42a68c47c7596a99c5f7613bf9108ff1f3b57972662b6c1a0c62ac65d3de0fbadef906865a79d4de886c4e2
Homepage: https://cran.r-project.org/package=datapack
Description: CRAN Package 'datapack' (A Flexible Container to Transport and Manipulate Data andAssociated Resources)
 Provides a flexible container to transport and manipulate complex sets of
 data. These data may consist of multiple data files and associated meta data
 and ancillary files. Individual data objects have associated system level
 meta data, and data files are linked together using the OAI-ORE standard
 resource map which describes the relationships between the files. The OAI-
 ORE standard is described at <https://www.openarchives.org/ore/>. Data
 packages can be serialized and transported as structured files that have
 been created following the BagIt specification. The BagIt specification is
 described at <https://tools.ietf.org/html/draft-kunze-bagit-08>.

Package: r-cran-datapackage
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 657
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-yaml, r-cran-jsonlite, r-cran-iso8601
Suggests: r-cran-simplermarkdown, r-cran-data.table, r-cran-codelist, r-cran-laf
Filename: pool/dists/focal/main/r-cran-datapackage_0.2.3-1.ca2004.1_all.deb
Size: 331340
MD5sum: 1fcfd607ebc83e07b9b04abf7d9a25f6
SHA1: af71c1de017f2c4143cd8a00f8a91d303e755953
SHA256: 6519dfedfd2f28436a13c801ab70c3188e1a2c183f5c224d187dd333689dfe9d
SHA512: 03875262456300247a62d7c14b42d22a79620a47569d70c3371b19d99b80ede9a3b44873c9d4f78a7d82dad2ae7f6563b23d2b86c54d40abd37a5eefa91721fc
Homepage: https://cran.r-project.org/package=datapackage
Description: CRAN Package 'datapackage' (Creating and Reading Data Packages)
 Open, read data from and modify Data Packages. Data Packages are an open
 standard for bundling and describing data sets (<https://datapackage.org>).
 When data is read from a Data Package care is taken to convert the data as
 much a possible to R appropriate data types.  The package can be extended
 with plugins for additional data types.

Package: r-cran-datapackager
Architecture: all
Version: 0.16.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 919
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-digest, r-cran-futile.logger, r-cran-knitr, r-cran-pkgbuild, r-cran-pkgload, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rprojroot, r-cran-usethis, r-cran-yaml
Suggests: r-cran-covr, r-cran-data.tree, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-datapackager_0.16.1-1.ca2004.1_all.deb
Size: 350856
MD5sum: bbd0345e6480a86b1fb4ca4e39bb32fe
SHA1: 265cf3f11aaf669147418c42c069d57c6f82e1c0
SHA256: 41a94a157a5a71c31e129b4f906620ac2b782e62172a6bacd1c8c8e873800408
SHA512: b512505f72283dfa88317d08effa3f28e78c75d5a55b8d4eaea293f235a46c780173301deacb3a7cd0f8a1132a4d222b54ca99746894eddfdb29dc3accbeac24
Homepage: https://cran.r-project.org/package=DataPackageR
Description: CRAN Package 'DataPackageR' (Construct Reproducible Analytic Data Sets as R Packages)
 A framework to help construct R data packages in a reproducible manner.
 Potentially time consuming processing of raw data sets into analysis ready
 data sets is done in a reproducible manner and decoupled from the usual 'R
 CMD build' process so that data sets can be processed into R objects in the
 data package and the data package can then be shared, built, and installed
 by others without the need to repeat computationally costly data processing.
 The package maintains data provenance by turning the data processing scripts
 into package vignettes, as well as enforcing documentation and version
 checking of included data objects. Data packages can be version controlled
 on 'GitHub', and used to share data for manuscripts, collaboration and
 reproducible research.

Package: r-cran-datapasta
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 780
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-clipr, r-cran-rstudioapi
Suggests: r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-datapasta_3.1.0-1.ca2004.1_all.deb
Size: 677684
MD5sum: 85bd78b11f309af467c0f512b160efe3
SHA1: 3e5cfa1af230a78350df40c9c1b938fc20034802
SHA256: 01dab3a9fe9946f8adddbdad781e0f8e77445872b9138d4762e33de14c91d74d
SHA512: 6f27ca671b6be69e6d0a0a65c7e69bf16f682dd5a3e58079e5233d193519bcba6c1b714bd561f05619cc35638ab6770a92292ed2dd79fbf750fae60c60846573
Homepage: https://cran.r-project.org/package=datapasta
Description: CRAN Package 'datapasta' (R Tools for Data Copy-Pasta)
 RStudio addins and R functions that make copy-pasting vectors and tables to
 text painless.

Package: r-cran-dataprep
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-foreach, r-cran-doparallel, r-cran-dplyr, r-cran-reshape2, r-cran-data.table, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dataprep_0.1.5-1.ca2004.1_all.deb
Size: 3156832
MD5sum: 622b858a4ddee05ce48327b042e491df
SHA1: 2a17a20bbd0325b92b52efc7e9c92c4101615958
SHA256: 3f7908433459f953c0786732b7a8423240afa377a60f9875903b1bcf9d00d755
SHA512: 36568500966a5ef094ef2a5ffe00ed09f6aaf1943f86f5832599e5830bd6098aadc2256887e111f17b11e391b40d3f0c6ef0075317a52b0711b6e795a0af12ca
Homepage: https://cran.r-project.org/package=dataprep
Description: CRAN Package 'dataprep' (Efficient and Flexible Data Preprocessing Tools)
 Efficiently and flexibly preprocess data using a set of data filtering,
 deletion, and interpolation tools.  These data preprocessing methods are
 developed based on the principles of completeness, accuracy, threshold
 method, and linear interpolation and through the setting of constraint
 conditions, time completion & recovery, and fast & efficient calculation and
 grouping.  Key preprocessing steps include deletions of variables and
 observations, outlier removal, and missing values (NA) interpolation, which
 are dependent on the incomplete and dispersed degrees of raw data.  They
 clean data more accurately, keep more samples, and add no outliers after
 interpolation, compared with ordinary methods.  Auto-identification of
 consecutive NA via run-length based grouping is used in observation
 deletion, outlier removal, and NA interpolation; thus, new outliers are not
 generated in interpolation. Conditional extremum is proposed to realize
 point-by-point weighed outlier removal that saves non-outliers from being
 removed.  Plus, time series interpolation with values to refer to within
 short periods further ensures reliable interpolation.  These methods are
 based on and improved from the reference: Liang, C.-S., Wu, H., Li, H.-Y.,
 Zhang, Q., Li, Z. & He, K.-B. (2020) <doi:10.1016/j.scitotenv.2020.140923>.

Package: r-cran-datapreparation
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1567
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-stringr, r-cran-matrix, r-cran-progress
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datapreparation_1.1.1-1.ca2004.1_all.deb
Size: 1496016
MD5sum: 3106992c64c44c6bf34c154004453192
SHA1: e7c023f0b14cd430dfd992e91970dee6b95917cd
SHA256: f6fed3591e428ef0d697291fbc6ff5cf0f3b538824013955b14b5fe5ffffcac7
SHA512: 70acbc9fd8f272ea7d86506637ddaf912faf8a7b0ac1fc8b95d5cd3c74f4db0763adfcfe699430de102e246af4100bf6b9294ce47665b4acb9114e972ea5b4de
Homepage: https://cran.r-project.org/package=dataPreparation
Description: CRAN Package 'dataPreparation' (Automated Data Preparation)
 Do most of the painful data preparation for a data science project with a
 minimum amount of code; Take advantages of 'data.table' efficiency and use
 some algorithmic trick in order to perform data preparation in a time and
 RAM efficient way.

Package: r-cran-dataquier
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-emmeans, r-cran-ggplot2, r-cran-lme4, r-cran-lubridate, r-cran-mass, r-cran-multinomialci, r-cran-parallelmap, r-cran-patchwork, r-cran-r.devices, r-cran-rlang, r-cran-robustbase, r-cran-qmrparser, r-cran-rio, r-cran-readr, r-cran-scales, r-cran-withr, r-cran-lifecycle, r-cran-units
Suggests: r-cran-openxlsx2, r-cran-ggally, r-cran-jsonlite, r-cran-cli, r-cran-whoami, r-cran-anytime, r-cran-cowplot, r-cran-digest, r-cran-dt, r-cran-flexdashboard, r-cran-flexsiteboard, r-cran-htmltools, r-cran-knitr, r-cran-markdown, r-cran-parallelly, r-cran-rjava, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-tibble, r-cran-vdiffr, r-cran-pkgload, r-cran-rdpack, r-cran-callr, r-cran-colorspace, r-cran-plotly, r-cran-ggvenn, r-cran-htmlwidgets, r-cran-future, r-cran-processx, r-cran-r6, r-cran-shiny, r-cran-xml2, r-cran-mgcv, r-cran-rvest, r-cran-textutils, r-cran-dbx, r-cran-ggpubr, r-cran-grimport2, r-cran-rsvg, r-cran-stringdist, r-cran-rankicc, r-cran-nnet, r-cran-ordinal, r-cran-storr, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-dataquier_2.5.1-1.ca2004.1_all.deb
Size: 3437320
MD5sum: 02fb2452223a5661bcc8b76900504743
SHA1: 6fe4c57bededc6374c2b78911ec9a4d708c8f080
SHA256: c5e0533fc64bde7e8e54c227d225b972b0995cf5125f3c19e3974850d4184075
SHA512: b68727fb5b96fa64b8b8c04d5762c586ea89794761b596b4b1054f38076505d2833a8901e7afc428af9aa2f0230f44b46eb3ef932b92421964286eb1ae56a203
Homepage: https://cran.r-project.org/package=dataquieR
Description: CRAN Package 'dataquieR' (Data Quality in Epidemiological Research)
 Data quality assessments guided by a 'data quality framework introduced by
 Schmidt and colleagues, 2021' <doi:10.1186/s12874-021-01252-7> target the
 data quality dimensions integrity, completeness, consistency, and accuracy.
 The scope of applicable functions rests on the availability of extensive
 metadata which can be provided in spreadsheet tables. Either standardized
 (e.g. as 'html5' reports) or individually tailored reports can be generated.
 For an introduction into the specification of corresponding metadata, please
 refer to the 'package website'
 <https://dataquality.qihs.uni-greifswald.de/VIN_Annotation_of_Metadata.html>.

Package: r-cran-datardis
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datardis_0.0.5-1.ca2004.1_all.deb
Size: 30512
MD5sum: dcf596ca3b295199302f39ab928b5f96
SHA1: fb2043944ec59ea0f150dd53ee706630feac1a17
SHA256: 9c9abfd0eda1a155cb55d33a7815f11c37e1ef0166156f897d257033c5e2718e
SHA512: e6b4979aa0b47e845d8d524c86eeff1217fbb1525d4602bc2ca876bc79bc5676c4bf76bf372ca555a445b8780ca06123cc61654d562b9f70fe0135945218d783
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Description: CRAN Package 'datardis' (Data from the Doctor Who Series)
 Explore data related to the Doctor Who TV series.

Package: r-cran-datareporter
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1599
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-haven, r-cran-htmltools, r-cran-magrittr, r-cran-pander, r-cran-rmarkdown, r-cran-robustbase, r-cran-stringi, r-cran-whoami, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datareporter_1.0.5-1.ca2004.1_all.deb
Size: 817308
MD5sum: 817bf0a8d64fc09a8c5cd1242d57778b
SHA1: 2c4b89a436840a2f2fc503721ee050bbd952cfb4
SHA256: 87ff3dae0cb47fd5957fc8d1a5bc83c333c0fc8e10bf78926a717a18163a951a
SHA512: 28577bc6fde0039745652f32762633859954f6330bead1d7062ddd5db09f4c1efecc8413b9a8623ec47f09ea4b2c8a49b549a125ed6b39533858fec29849f18f
Homepage: https://cran.r-project.org/package=dataReporter
Description: CRAN Package 'dataReporter' (Reproducible Data Screening Checks and Report of Possible Errors)
 Data screening is an important first step of any statistical analysis.
 'dataReporter' auto generates a customizable data report with a thorough
 summary of the checks and the results that a human can use to identify
 possible errors. It provides an extendable suite of test for common
 potential errors in a dataset. See Petersen AH, Ekstrøm CT (2019).
 "dataMaid: Your Assistant for Documenting Supervised Data Quality Screening
 in R." _Journal of Statistical Software_, *90*(6), 1-38
 <doi:10.18637/jss.v090.i06> for more information.

Package: r-cran-dataresqc
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Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dataresqc_1.1.1-1.ca2004.1_all.deb
Size: 510092
MD5sum: 0e067cd5bee4b9cc03a23a77781a7e8b
SHA1: d1186a132b20cc5a46543792d9f002078bd69921
SHA256: e97ddbda2459056813eefbf1a300ae2b09b4a79b73ef9afb4cc918f1b993face
SHA512: 06cbef69c74647400b1708dbbc16c0454e99f281610c1593e3084ff0e5c7cdf7c90d9e11e5c4aabcadb251b90a2e61005677f532924bfbc3a2ef4138b25d0a1d
Homepage: https://cran.r-project.org/package=dataresqc
Description: CRAN Package 'dataresqc' (C3S Quality Control Tools for Historical Climate Data)
 Quality control and formatting tools developed for the Copernicus Data
 Rescue Service. The package includes functions to handle the Station
 Exchange Format (SEF), various statistical tests for climate data at daily
 and sub-daily resolution, as well as functions to plot the data. For more
 information and documentation see
 <https://datarescue.climate.copernicus.eu/st_data-quality-control>.

Package: r-cran-dataretrieval
Architecture: all
Version: 2.7.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1675
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-lubridate, r-cran-xml2, r-cran-readr, r-cran-jsonlite, r-cran-httr2, r-cran-whisker, r-cran-sf
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dataretrieval_2.7.19-1.ca2004.1_all.deb
Size: 1273332
MD5sum: 9ffe82521cfcddac53fe09e1c3ccf1f2
SHA1: de3397c2a756f17b7db14070b772e8c1cf50b74c
SHA256: aa377137e81dcd26cf545b09f44ad396643c5af47236961d51c4a75e3a5cf6ab
SHA512: 1ac2b077b74da242381a748c4400710832b46b2af7b38839428625628a6cac01482ad987ae814b94fd9e172935effc0f68387f938e1f7d5e2f45bf0f02db4747
Homepage: https://cran.r-project.org/package=dataRetrieval
Description: CRAN Package 'dataRetrieval' (Retrieval Functions for USGS and EPA Hydrology and Water QualityData)
 Collection of functions to help retrieve U.S. Geological Survey and U.S.
 Environmental Protection Agency water quality and hydrology data from web
 services.

Package: r-cran-datarium
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Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-datarium_0.1.0-1.ca2004.1_all.deb
Size: 45064
MD5sum: b73ada2d130d0bbfdfafa75e6886caec
SHA1: fb3937c033768279f0c3025c4812c67ff02caf6f
SHA256: d5b9b602603205725badaa900062aa1879099239ddb09c581fadd0d39f0b9c23
SHA512: 1b4a256311517c7b41e6e7d56f03a4f83d02868dbd19bd497f096b270715646dd538c3b1c9486fb7cd73e3c1a371396b8a177b0910eb47939d70fe2eb570c2f0
Homepage: https://cran.r-project.org/package=datarium
Description: CRAN Package 'datarium' (Data Bank for Statistical Analysis and Visualization)
 Contains data organized by topics: categorical data, regression model, means
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 ANCOVA.

Package: r-cran-datarobot
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Version: 2.18.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4010
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-lubridate, r-cran-knitr, r-cran-testthat, r-cran-lintr, r-cran-data.table, r-cran-ameshousing, r-cran-mlbench, r-cran-beanplot, r-cran-doby, r-cran-insurancedata, r-cran-rmarkdown, r-cran-ggplot2, r-cran-modelwordcloud, r-cran-withr, r-cran-memoise
Filename: pool/dists/focal/main/r-cran-datarobot_2.18.6-1.ca2004.1_all.deb
Size: 2663696
MD5sum: a1e92f5c6ef0ed77e2483fc7df1e899f
SHA1: 4b3ac28d8595002bd157c5ef8a720b1874bcacb4
SHA256: 0666be6edccab0f2bf0f2655dd51a3d04fbd50892d8f868ef77cce5bf42de8d5
SHA512: f8c509f29861eba3ae851ef224e6c917e4faa6d9962bd975c011cf77a8e020e1fdd7dbb00d9c55fde120f4ca02ecce43db0e5647a7ebfbf29e259301cb611374
Homepage: https://cran.r-project.org/package=datarobot
Description: CRAN Package 'datarobot' ('DataRobot' Predictive Modeling API)
 For working with the 'DataRobot' predictive modeling platform's API
 <https://www.datarobot.com/>.

Package: r-cran-datasaurus
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1540
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datasaurus_0.1.9-1.ca2004.1_all.deb
Size: 843036
MD5sum: 6c30113eb6b36f4d14284740b6a7e1af
SHA1: 3686c842c5d0912a52c308e45be47608819e10d1
SHA256: 0ebc2b14f9e3053d915ab564ad9a721bd8be1468a6bb51b2d47f925d4eafbf9a
SHA512: 7205204fdd491be9d60a5c5b6d7b2dc9c1123c1102ce9c78e997fd98f1f4b58d3516b8cbf56c2c22581b28f682bf11d0cadf0f687e1c89b7ad78b77dcdba5d70
Homepage: https://cran.r-project.org/package=datasauRus
Description: CRAN Package 'datasauRus' (Datasets from the Datasaurus Dozen)
 The Datasaurus Dozen is a set of datasets with the same summary statistics.
 They retain the same summary statistics despite having radically different
 distributions.  The datasets represent a larger and quirkier object lesson
 that is typically taught via Anscombe's Quartet (available in the 'datasets'
 package). Anscombe's Quartet contains four very different distributions with
 the same summary statistics and as such highlights the value of
 visualisation in understanding data, over and above summary statistics. As
 well as being an engaging variant on the Quartet, the data is generated in a
 novel way. The simulated annealing process used to derive datasets from the
 original Datasaurus is detailed in "Same Stats, Different Graphs: Generating
 Datasets with Varied Appearance and Identical Statistics through Simulated
 Annealing" <doi:10.1145/3025453.3025912>.

Package: r-cran-datasda
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Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-rsda, r-cran-histdawass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datasda_0.1.2-1.ca2004.1_all.deb
Size: 254184
MD5sum: cb20671a6031637efa32c3e1ba3dad99
SHA1: d8ad505a32058392e819a815e2b306096d9f5e2d
SHA256: 935850a89d76b820c19a3d7c826955b96ed7ab43a73c87b3704604e3de7b9c4d
SHA512: 2803c5794161d7888553311f93d2aa85889428cd064a6887f160d576a2ad2c9e2e2a317e727bfca67d99d497dc7b2094016737cf602b94f30c00bfd6d562220e
Homepage: https://cran.r-project.org/package=dataSDA
Description: CRAN Package 'dataSDA' (Datasets and Basic Statistics for Symbolic Data Analysis)
 Collects a diverse range of symbolic data and offers a comprehensive set of
 functions that facilitate the conversion of traditional data into the
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Package: r-cran-dataseries
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Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-xts
Filename: pool/dists/focal/main/r-cran-dataseries_0.2.0-1.ca2004.1_all.deb
Size: 22772
MD5sum: 4a1b88c8c802fa64a306d905a0ce7427
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SHA256: d052f96707e6edb59ce1a157b35a7e2afc877937fa43d79a45956c68718d7446
SHA512: 7777b2fc27ac144d5b07043cd770f87c995ae55ddad5056cacc75e108c8714060d715a114eb33e6d258abfcc838bc666f08223764efcc8618eecc44f04b49923
Homepage: https://cran.r-project.org/package=dataseries
Description: CRAN Package 'dataseries' (Switzerland's Data Series in One Place)
 Download and import time series from <http://www.dataseries.org>, a
 comprehensive and up-to-date collection of open data from Switzerland.

Package: r-cran-dataset
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
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Suggests: r-cran-dplyr, r-cran-jsonld, r-cran-knitr, r-cran-rdflib, r-cran-rmarkdown, r-cran-spelling, r-cran-tidyr, r-cran-testthat
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Size: 392656
MD5sum: 91eeae3e30d5e839a27bd1d930521596
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SHA256: 2244b3debe0fdd8457e443f2aa8c32c1a22d487801754c12360356b4e403a36d
SHA512: 4fe16d85f7165eca77a75582ce1540d94f34f2a149c1071b25e0b5ab16e4779966ba2264d8af5a582ec8656b5b7ce8928bb5c86e77280238609e541fbdf1c21a
Homepage: https://cran.r-project.org/package=dataset
Description: CRAN Package 'dataset' (Create Data Frames that are Easier to Exchange and Reuse)
 The aim of the 'dataset' package is to make tidy datasets easier to release,
 exchange and reuse. It organizes and formats data frame 'R' objects into
 well-referenced, well-described, interoperable datasets into release and
 reuse ready form.

Package: r-cran-datasetjson
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Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yyjsonr, r-cran-jsonvalidate, r-cran-hms
Suggests: r-cran-testthat, r-cran-jsonlite, r-cran-knitr, r-cran-haven, r-cran-rmarkdown, r-cran-withr, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-lubridate, r-cran-data.table
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Size: 166020
MD5sum: 21890461fd46cbe12196bbfe7ee5401e
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Homepage: https://cran.r-project.org/package=datasetjson
Description: CRAN Package 'datasetjson' (Read and Write CDISC Dataset JSON Files)
 Read, construct and write CDISC (Clinical Data Interchange Standards
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 validating per the Dataset JSON schema file, as described in CDISC (2023)
 <https://www.cdisc.org/standards/data-exchange/dataset-json>.

Package: r-cran-datasets.load
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Priority: optional
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Installed-Size: 64
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Filename: pool/dists/focal/main/r-cran-datasets.load_2.3.0-1.ca2004.1_all.deb
Size: 32908
MD5sum: e5f6a7da48c24d6ff00f72017e610c5c
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SHA256: 4adfd34c7a91ac9aa2257abc9bcb16d85e2f4968c614e2f920b16ec7c52ae3d8
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Homepage: https://cran.r-project.org/package=datasets.load
Description: CRAN Package 'datasets.load' (Graphical Interface for Loading Datasets)
 Graphical interface for loading datasets in RStudio from all installed
 (including unloaded) packages, also includes command line interfaces.

Package: r-cran-datasetsicr
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1071
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Size: 1062056
MD5sum: f483706a8eb12bb80c8a8609e04282c0
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SHA256: 017bbdec1754050e830f1f263f577d40a3acacb11a038dc81ac23f3f6f33b10d
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Homepage: https://cran.r-project.org/package=datasetsICR
Description: CRAN Package 'datasetsICR' (Datasets from the Book "An Introduction to Clustering with R")
 Companion to the book "An Introduction to Clustering with R" by P. Giordani,
 M.B. Ferraro and F. Martella (Springer, Singapore, 2020). The datasets are
 used in some case studies throughout the text.

Package: r-cran-datasetsuni
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Priority: optional
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Installed-Size: 297
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-datasetsuni_0.1-1.ca2004.1_all.deb
Size: 241712
MD5sum: 9e4c03e2d651abfc9bf0786f58f5d9bd
SHA1: 14738e94ca20cb4b6c89ea66de6edb694b4de172
SHA256: 76f38e2a68babf5533bb02c63f175b27af6c79d360fdc8605f5d3a76cbc3d2ac
SHA512: 16310e0fc2d914b09d5d591a76d10e735bec84f81e7b3be52adc7f39eaf7e04dd9722ab565319fc21b24f316bfcb060998d05ac58b55b62c929c821c7c578d6f
Homepage: https://cran.r-project.org/package=DataSetsUni
Description: CRAN Package 'DataSetsUni' (A Collection of Univariate Data Sets)
 A collection of widely used univariate data sets of various applied domains
 on applications of distribution theory. The functions allow researchers and
 practitioners to quickly, easily, and efficiently access and use these data
 sets. The data are related to different applied domains and as follows:
 Bio-medical, survival analysis, medicine, reliability analysis, hydrology,
 actuarial science, operational research, meteorology, extreme values,
 quality control, engineering, finance, sports and economics. The total 100
 data sets are documented along with associated references for further
 details and uses.

Package: r-cran-datasetsverse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-timeseriesdatasets, r-cran-educationr, r-cran-crimedatasets, r-cran-meddatasets, r-cran-oncodatasets, r-cran-cli
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-datasetsverse_0.1.0-1.ca2004.1_all.deb
Size: 456548
MD5sum: 730439e1839b4b98fb75e1f2fa5e1646
SHA1: 2bdc15eccc7e9db45029b0ff013aa149ec08dff9
SHA256: 06179262ede2e350d7cb670ba8d88b0e2a4962f38b40eaf8c256ea1182b93d28
SHA512: 2dc2bc9a1185944067cc283cdee672fced35efae369cf4eda1b187228e3257bfe694c1d3c721ddce94a0c935f104cea3ca377e8350b5987add945ed2d18ed094
Homepage: https://cran.r-project.org/package=DataSetsVerse
Description: CRAN Package 'DataSetsVerse' (A Metapackage for Thematic and Domain-Specific Datasets)
 A metapackage that brings together a curated collection of R packages
 containing domain-specific datasets. It includes time series data,
 educational metrics, crime records, medical datasets, and oncology research
 data.  Designed to provide researchers, analysts, educators, and data
 scientists with centralized access to structured and well-documented
 datasets, this metapackage facilitates reproducible research, data
 exploration, and teaching applications across a wide range of domains.
 Included packages: - 'timeSeriesDataSets': Time series data from economics,
 finance, energy, and healthcare.  - 'educationR': Datasets related to
 education, learning outcomes, and school metrics.  - 'crimedatasets':
 Datasets on global and local crime and criminal behavior.  - 'MedDataSets':
 Datasets related to medicine, public health, treatments, and clinical
 trials.  - 'OncoDataSets': Datasets focused on cancer research, survival,
 genetics, and biomarkers.

Package: r-cran-datasimilarity
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1276
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot
Suggests: r-cran-ade4, r-cran-approxot, r-cran-ball, r-cran-caret, r-cran-clue, r-cran-cramer, r-cran-crossmatch, r-cran-dbscan, r-cran-densratio, r-cran-dwdlarger, r-cran-e1071, r-cran-ecume, r-cran-energy, r-cran-expm, r-cran-fnn, r-cran-gtests, r-cran-gtestsmulti, r-cran-hdlsskst, r-cran-hyporf, r-cran-kernlab, r-cran-kertests, r-cran-kmd, r-cran-knitr, r-cran-lpksample, r-cran-matrix, r-cran-mvtnorm, r-cran-nbpmatching, r-cran-proc, r-cran-purrr, r-cran-randtoolbox, r-cran-rlemon, r-cran-rpart, r-cran-rpart.plot, r-cran-testthat, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-datasimilarity_0.2.0-1.ca2004.1_all.deb
Size: 1099700
MD5sum: 1c3e7eb22aa52e00f00fe2a07c9bb357
SHA1: 9d883d3ff91b49bc57ea00c810cfa3f40d7048a9
SHA256: 6ead7ab32278aab91799a9033770bb9bee031f2ec6312dee3271caaef9a717a7
SHA512: 186be427e1ff89fb4ba9c62d88088d1aa99be8c1c63ed34cb2488a598154a9fe72115df1226b6333e9b6059b4c10e28e0892252013f730aa64265552228b8c55
Homepage: https://cran.r-project.org/package=DataSimilarity
Description: CRAN Package 'DataSimilarity' (Quantifying Similarity of Datasets and Multivariate Two- Andk-Sample Testing)
 A collection of methods for quantifying the similarity of two or more
 datasets, many of which can be used for two- or k-sample testing. It
 provides newly implemented methods as well as wrapper functions for existing
 methods that enable calling many different methods in a unified framework.
 The methods were selected from the review and comparison of Stolte et al.
 (2024) <doi:10.1214/24-SS149>.

Package: r-cran-dataspacer
Architecture: all
Version: 0.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rlabkey, r-cran-curl, r-cran-httr, r-cran-assertthat, r-cran-digest, r-cran-jsonlite, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-pryr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dataspacer_0.7.7-1.ca2004.1_all.deb
Size: 250996
MD5sum: 7e4b63e21ef9b5a550f640c8f9132948
SHA1: 216a90d22d36f652303ffea2a1f8e4cf446edfb8
SHA256: f943f82125d90d660df85a893aeee7e8a23a8c66ebd49867b946da12cfb700b0
SHA512: 1c46c6098ac4e2295774ffd27b506aefada93191812730d63175059a261916b6d00bf5f818f0b91039959d9a38ca3564be5f95a6b584f8f4106c6249dd049656
Homepage: https://cran.r-project.org/package=DataSpaceR
Description: CRAN Package 'DataSpaceR' (Interface to 'the CAVD DataSpace')
 Provides a convenient API interface to access immunological data within 'the
 CAVD DataSpace'(<https://dataspace.cavd.org>), a data sharing and discovery
 tool that facilitates exploration of HIV immunological data from
 pre-clinical and clinical HIV vaccine studies.

Package: r-cran-dataspice
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3863
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-eml, r-cran-fs, r-cran-jsonlite, r-cran-whisker, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-shiny, r-cran-rhandsontable, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-servr, r-cran-listviewer, r-cran-maps
Filename: pool/dists/focal/main/r-cran-dataspice_1.1.0-1.ca2004.1_all.deb
Size: 2819336
MD5sum: 280cbe8a09c8aa41f7181c5b22a23872
SHA1: 7cb806af50911fbf7608a8c9f111719a0ad29c32
SHA256: 77a1d78362de18737b00bb559f2f59b58d30a14544e1e2c808c5d9161bd191f3
SHA512: 9f0e268ba68bc7391cff6d52510937940289d17c93be527c8dd29c2768ee046c76b55db25201d44bf7aab37f30e4ce3d8a11fc7567878e2e128af47eaab4766b
Homepage: https://cran.r-project.org/package=dataspice
Description: CRAN Package 'dataspice' (Create Lightweight Schema.org Descriptions of Data)
 The goal of 'dataspice' is to make it easier for researchers to create
 basic, lightweight, and concise metadata files for their datasets.  These
 basic files can then be used to make useful information available during
 analysis, create a helpful dataset "README" webpage, and produce more
 complex metadata formats to aid dataset discovery. Metadata fields are based
 on the 'Schema.org' and 'Ecological Metadata Language' standards.

Package: r-cran-datastat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-datastat_0.1.0-1.ca2004.1_all.deb
Size: 21456
MD5sum: c57f72dcf81f3fc937c1344d30b80909
SHA1: 0c6a31f3762f4c895cf31211f767a22c4bb492f7
SHA256: c66cf6c3200a06c3387de58413589d5b3be88a048964c8ee6cc523735aee7772
SHA512: 4611acc9749e4f053bdd85611a46f1e20179cb968d552c31967b858a58bfd265d03609e1840db371de0e17fa839a034176d6b143ecba78525495a37a63a3316a
Homepage: https://cran.r-project.org/package=datastat
Description: CRAN Package 'datastat' (Dataset for Statistical Analysis)
 Data are essential in statistical analysis.  This data package consists of
 four datasets for descriptive statistics, two datasets for statistical
 hypothesis testing, and two datasets for regression analysis.  All of the
 datasets are based on Rattanalertnusorn, A. (2024)
 <https://www.researchgate.net/publication/371944275_porkaermxarlaeakarprayuktchingan_R_and_its_applications>.

Package: r-cran-datastepr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lazyeval, r-cran-r6, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-covr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datastepr_0.0.2-1.ca2004.1_all.deb
Size: 54256
MD5sum: 47fddaeff74cb933939ee134dbff052f
SHA1: 3483fa317c100f6aa0060fb8eb283acc5f27d4eb
SHA256: 457884720f4430e40f11dd415017fb20c4a96a3e50a6754e36ca1879e2c95b1f
SHA512: 5d86b613656af08e193159138b8d7b06df8a0bd294b05f5fa7846bc5cc54ace313fee9e9183da0f5736d2e930ca47fd19ae9881701888d28c6d724919b69ca2c
Homepage: https://cran.r-project.org/package=datastepr
Description: CRAN Package 'datastepr' (An Implementation of a SAS-Style Data Step)
 Based on a SAS data step. This allows for row-wise dynamic building of data,
 iteratively importing slices of existing dataframes, conducting analyses,
 and exporting to a results frame. This is particularly useful for
 differential or time-series analyses, which are often not well suited to
 vector- based operations.

Package: r-cran-datastreamdsws2r
Architecture: all
Version: 1.9.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringi, r-cran-stringr, r-cran-xts, r-cran-zoo, r-cran-foreach, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-datastreamdsws2r_1.9.12-1.ca2004.1_all.deb
Size: 216948
MD5sum: 546a7551d0ce2db29ab7e10e39d1443e
SHA1: ed10a67b919225f9c0bebfd29fa21c2201716524
SHA256: f95034eccd9ff2df82026385f0624c2e8c6d92d8d28745b25d76af02aa0cea06
SHA512: 241c1783935ab1d1645b491ec8a897e54a1d71cabe1f7c01dd75f0a7e6931a08aa442de17f638bb5d727aaf94bf1cc68d928e574808afc9f5655222663b30739
Homepage: https://cran.r-project.org/package=DatastreamDSWS2R
Description: CRAN Package 'DatastreamDSWS2R' (Provides a Link Between the 'LSEG Datastream' System and R)
 Provides a set of functions and a class to connect, extract and upload
 information from the 'LSEG Datastream' database. This package uses the
 'DSWS' API and server used by the 'Datastream DFO addin'.  Details of this
 API are available at <https://www.lseg.com/en/data-analytics>.  Please
 report issues at <https://github.com/CharlesCara/DatastreamDSWS2R/issues>.

Package: r-cran-datastreamr
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-logger, r-cran-ini, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datastreamr_2.0.4-1.ca2004.1_all.deb
Size: 576060
MD5sum: af0d3ce72e783401471c0e2d466f75a9
SHA1: 1b36fc9bf92db97e6f64076865aac4b1f2949ec4
SHA256: 291f6db447a0ac570cd9b2ccbe234a19395ab4073b6f0a3ef2df046be592678c
SHA512: 1f3f276e5ab8c61be04e534a24671bda992e16980f7efebd19b329aa7bdf869d1522d328b4c3ee5c2a43a398cda7b3b1e91787fbba7e744b3256f2ae4ba53964
Homepage: https://cran.r-project.org/package=DatastreamR
Description: CRAN Package 'DatastreamR' (Datastream API)
 Access Datastream content through
 <https://product.datastream.com/dswsclient/Docs/Default.aspx>., our
 historical financial database with over 35 million individual instruments or
 indicators across all major asset classes, including over 19 million active
 economic indicators. It features 120 years of data, across 175 countries –
 the information you need to interpret market trends, economic cycles, and
 the impact of world events.  Data spans bond indices, bonds, commodities,
 convertibles, credit default swaps, derivatives, economics, energy,
 equities, equity indices, ESG, estimates, exchange rates, fixed income,
 funds, fundamentals, interest rates, and investment trusts. Unique content
 includes I/B/E/S Estimates, Worldscope Fundamentals, point-in-time data, and
 Reuters Polls.  Alongside the content, sit a set of powerful analytical
 tools for exploring relationships between different asset types, with a
 library of customizable analytical functions.  In-house timeseries can also
 be uploaded using the package to comingle with Datastream maintained
 datasets, use with these analytical tools and displayed in Datastream’s
 flexible charting facilities in Microsoft Office.

Package: r-cran-datastudio
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3528
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-extremis, r-cran-spearmanci
Filename: pool/dists/focal/main/r-cran-datastudio_1.2.1-1.ca2004.1_all.deb
Size: 3171240
MD5sum: 505161a13a5e101ddc79c7bd3ddc0379
SHA1: 9bab28f43e5522ab5d0d3f15751cc2152bb13fc7
SHA256: 59a65314ca469d34f4b0b1e4c55709910dfe42e70b3c43d9e7a2a8e8cc48a8c9
SHA512: 69a784dd55f27e7d60f78c0853136383f9eab7337f2d3466b29ce61282a3532a8ee6171105f6acf971e5c7094195956c2009837f897881478eb1ccd018d43cd1
Homepage: https://cran.r-project.org/package=DATAstudio
Description: CRAN Package 'DATAstudio' (The Research Data Warehouse of Miguel de Carvalho)
 Pulls together a collection of datasets from Miguel de Carvalho research
 articles. Including, for example: - de Carvalho (2012)
 <doi:10.1016/j.jspi.2011.08.016>; - de Carvalho et al (2012)
 <doi:10.1080/03610926.2012.709905>; - de Carvalho et al (2012)
 <doi:10.1016/j.econlet.2011.09.007>); - de Carvalho and Davison (2014)
 <doi:10.1080/01621459.2013.872651>; - de Carvalho and Rua (2017)
 <doi:10.1016/j.ijforecast.2015.09.004>; - de Carvalho et al (2023)
 <doi:10.1002/sta4.560>; - de Carvalho et al (2022)
 <doi:10.1007/s13253-021-00469-9>; - Palacios et al (2024)
 <doi:10.1214/24-BA1420>.

Package: r-cran-datasum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-moments, r-cran-dplyr, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-datasum_0.1.0-1.ca2004.1_all.deb
Size: 17888
MD5sum: db853b0b662d6e1dd0e1ec459e044414
SHA1: e35c471318dad7e5e352407fa8da3a0b851e3fb4
SHA256: 8387f30cc0a9f7873656db162f54602a7283523d64e99a547dde256c84140471
SHA512: 17191ddac7677452832c6d9c3f0d5120d25cb785ed18048feeb238e79ca618123890e4a5c730b9b0f6f1e9e1d8b4bb3d50b5a6feb33a2444b7c5819ce9717140
Homepage: https://cran.r-project.org/package=DataSum
Description: CRAN Package 'DataSum' (Comprehensive Data Summarization for Statistical Analysis)
 Summarizing data frames by calculating various statistical measures,
 including measures of central tendency, dispersion, skewness(), kurtosis(),
 and normality tests. The package leverages the 'moments' package for
 calculating statistical moments and related measures, the 'dplyr' package
 for data manipulation, and the 'nortest' package for normality testing.
 'DataSum' includes functions such as getmode() for finding the mode(s) of a
 data vector, shapiro_normality_test() for performing the Shapiro-Wilk test
 (Shapiro & Wilk 1965 <doi:10.1093/biomet/52.3-4.591>) (or the
 Anderson-Darling test when the data length is outside the valid range for
 the Shapiro-Wilk test) (Stephens 1974 <doi:10.1080/01621459.1974.10480196>),
 Datum() for generating a comprehensive summary of a data vector with various
 statistics (including data type, sample size, mean, mode, median, variance,
 standard deviation, maximum, minimum, range, skewness(), kurtosis(), and
 normality test result) (Joanes & Gill 1998 <doi:10.1111/1467-9884.00122>),
 and DataSumm() for applying the Datum() function to each column of a data
 frame. Emphasizing the importance of normality testing, the package provides
 robust tools to validate whether data follows a normal distribution, a
 fundamental assumption in many statistical analyses and models.

Package: r-cran-dataverifyr
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yaml
Suggests: r-cran-arrow, r-cran-data.table, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-duckdb, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dataverifyr_0.1.8-1.ca2004.1_all.deb
Size: 77008
MD5sum: 107f77a07c7830135bef21c7453c2b08
SHA1: 50abf88283b918bf9db7063374f1b744e2433141
SHA256: eef23209140cfa29ab74a845ecc17003a059c44463de14d2e6fdee612ba4f148
SHA512: b116aa6dec713df311b5429b250fcc085c0452094f648f86cae503e6091a5080ff2c0fbaa85e4a54105f3bfcf36485afc3e7cbad1e3315392c3024b673c216ad
Homepage: https://cran.r-project.org/package=dataverifyr
Description: CRAN Package 'dataverifyr' (A Lightweight, Flexible, and Fast Data Validation Package thatCan Handle All Sizes of Data)
 Allows you to define rules which can be used to verify a given dataset.  The
 package acts as a thin wrapper around more powerful data packages such as
 'dplyr', 'data.table', 'arrow', and 'DBI' ('SQL'), which do the heavy
 lifting.

Package: r-cran-dataverse
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Version: 0.3.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-httr, r-cran-memoise, r-cran-cachem, r-cran-jsonlite, r-cran-readr, r-cran-xml2
Suggests: r-cran-covr, r-cran-haven, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-tibble, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-dataverse_0.3.15-1.ca2004.1_all.deb
Size: 269636
MD5sum: f56eea1512416e1bea867ebc354b591f
SHA1: 7ef95d6b57348aae3fccea4e0aebc064b31d2aa9
SHA256: 79cd387350ae88f6eab2ea3a673e5dfcc2f0bc40de84e3a1b3341cebeef130e3
SHA512: 38cb27ad8484e92dc1dd30bfbeb450be756fcb76e9a90f7a71304fbda284b4e3c9cf9d6b56b59fa83b10843aca53bd9e9c609f44bc2b8b38f5b3ac9cc739a27c
Homepage: https://cran.r-project.org/package=dataverse
Description: CRAN Package 'dataverse' (Client for Dataverse 4+ Repositories)
 Provides access to Dataverse APIs <https://dataverse.org/> (versions 4-5),
 enabling data search, retrieval, and deposit. For Dataverse versions <= 3.0,
 use the archived 'dvn' package <https://cran.r-project.org/package=dvn>.

Package: r-cran-dataversionr
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Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-diffdfs, r-cran-tidyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-withr, r-cran-sys, r-cran-aws.s3, r-cran-tzdb
Filename: pool/dists/focal/main/r-cran-dataversionr_0.9.0-1.ca2004.1_all.deb
Size: 68700
MD5sum: 1231ae860f214a739d20b908681440d2
SHA1: b63d9fd725377720e3839e1a408f927b955c76e4
SHA256: 5237e15f33c67a849b929101c6a9f58b8b939b7d5450b74be8d9ae898cccdbe9
SHA512: df4eb90d11ed3a75d705d15be7c80d1e357573a337a00f81b29830a52d6c0ebb59dc7430a60ce0b78201b9eeff0ead0e5168d180bdc50c292f6431256905eab9
Homepage: https://cran.r-project.org/package=dataversionr
Description: CRAN Package 'dataversionr' (Time Versioned Storage of Data Frames)
 Create, update, read and delete data frames in time versioned,
 parquet-backed datasets. Inspect how your data frame has changed over time.
 Run your analysis against multiple versions of your data frame.

Package: r-cran-dataviewr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-dt, r-cran-dplyr, r-cran-labelled, r-cran-forcats, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-datamods, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-dataviewr_0.1.0-1.ca2004.1_all.deb
Size: 147128
MD5sum: 677150a3f625cd9649a214e9288d7276
SHA1: 50071b7b0777b6abc863077c9d08bc32edc1cabb
SHA256: 8e2c45e7ae618158998648508b915b8b08bc010cc522478819f95766299eb869
SHA512: e0d948f67e67e6df4dd61bbf67be0c4138c06048bb1b13b711e79182d4feec3d90b47b7fd35dd2db960b4a29d0381e352116cea02e2505ab73b0e43834e98d56
Homepage: https://cran.r-project.org/package=dataviewR
Description: CRAN Package 'dataviewR' (dataviewR: An Interactive and Feature-Rich Data Viewer)
 Provides an interactive viewer for 'data.frame' and 'tibble' objects using
 'shiny' <https://shiny.posit.co/> and 'DT' <https://rstudio.github.io/DT/>.
 It supports complex filtering, column selection, and automatic generation of
 reproducible 'dplyr' <https://dplyr.tidyverse.org/> code for data
 manipulation. The package is designed for ease of use in data exploration
 and reporting workflows.

Package: r-cran-datawizard
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1242
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-insight
Suggests: r-cran-bayestestr, r-cran-boot, r-cran-bh, r-cran-brms, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-effectsize, r-cran-emmeans, r-cran-gamm4, r-cran-ggplot2, r-cran-gt, r-cran-haven, r-cran-httr, r-cran-knitr, r-cran-lme4, r-cran-mediation, r-cran-modelbased, r-cran-parameters, r-cran-poorman, r-cran-psych, r-cran-readxl, r-cran-readr, r-cran-rio, r-cran-rmarkdown, r-cran-rstanarm, r-cran-see, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-datawizard_1.1.0-1.ca2004.1_all.deb
Size: 1085148
MD5sum: fc636ffadafa81d1da15fb3c271a9445
SHA1: 87ea8c23f7517296c619ca9e77130afa7fae4426
SHA256: 250972e1da88ac980f409f8ab0c483817a7c390d45630e8d15e462363fa9d404
SHA512: 60f0504adc58d7a4f696a7f89a651fdd0e2bb6467ff437707141fd71a25e026a273f880026e3e15bf36d6c984d19a299ca47c13ad6b598555329bd4f7c33277f
Homepage: https://cran.r-project.org/package=datawizard
Description: CRAN Package 'datawizard' (Easy Data Wrangling and Statistical Transformations)
 A lightweight package to assist in key steps involved in any data analysis
 workflow: (1) wrangling the raw data to get it in the needed form, (2)
 applying preprocessing steps and statistical transformations, and (3)
 compute statistical summaries of data properties and distributions.  It is
 also the data wrangling backend for packages in 'easystats' ecosystem.
 References: Patil et al. (2022) <doi:10.21105/joss.04684>.

Package: r-cran-dateback
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dateback_1.0.5-1.ca2004.1_all.deb
Size: 25708
MD5sum: 41a10da4903350004f62d9168c76f350
SHA1: ce2e587a02d0317e8fccfc447ad01aee8a838d63
SHA256: 43319a8aa26b4f1a2b48959f5f597983f5ecf39500aea29cd9b9d075fcb17ef9
SHA512: e9384c63cde09a5f037bf30f4bbe8a99ecd415c8df0251cb929337305a88a6f3ef6908161c06a44a3dd0b8739291022ab093c3266c44b50fd46e4ab982b46b1f
Homepage: https://cran.r-project.org/package=dateback
Description: CRAN Package 'dateback' (Collect and Install R Packages on a Specified Date withDependencies)
 Works as a virtual CRAN snapshot for source packages.  It automatically
 downloads and installs 'tar.gz' files with dependencies, all of which were
 available on a specific day.

Package: r-cran-datelife
Architecture: all
Version: 0.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4886
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-abind, r-cran-bold, r-cran-phangorn, r-cran-phytools, r-cran-ips, r-cran-cluster, r-cran-compare, r-cran-geiger, r-cran-stringr, r-cran-rotl, r-cran-paleotree, r-cran-knitcitations, r-cran-phylobase, r-cran-taxize, r-cran-treebase, r-cran-httr, r-cran-plyr, r-cran-phylocomr, r-cran-biocmanager, r-cran-data.table, r-cran-curl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-usethis, r-cran-devtools, r-cran-covr, r-bioc-msa, r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-datelife_0.6.8-1.ca2004.1_all.deb
Size: 4256128
MD5sum: 69fe30f9bca301745855a9ada52cf7c1
SHA1: 15249c6415834c6a9984146de43a85e2a0eb92f2
SHA256: a20a877479a369808fcd22ff99a6afef173484d82afbda3cea87ff3afcca4603
SHA512: b5e2c4b86c6b7a8d90e30bc27d8adf63b3de7f7be01eed896233d45842184aea53980d58391b9a43c0ac66d1754099d3c0a417d5fe620cbd0f232344200b04b8
Homepage: https://cran.r-project.org/package=datelife
Description: CRAN Package 'datelife' (Scientific Data on Time of Lineage Divergence for Your Taxa)
 Methods and workflows to get chronograms (i.e., phylogenetic trees with
 branch lengths proportional to time), using open, peer-reviewed,
 state-of-the-art scientific data on time of lineage divergence.  This
 package constitutes the main underlying code of the DateLife web service at
 <https://www.datelife.org>. To obtain a single summary chronogram from a
 group of relevant chronograms, we implement the Super Distance Matrix (SDM)
 method described in Criscuolo et al. (2006) <doi:10.1080/10635150600969872>.
 To find the grove of chronograms with a sufficiently overlapping set of taxa
 for summarizing, we implement theorem 1.1. from Ané et al. (2009)
 <doi:10.1007/s00026-009-0017-x>.  A given phylogenetic tree can be dated
 using time of lineage divergence data as secondary calibrations (with
 caution, see Schenk (2016) <doi:10.1371/journal.pone.0148228>).  To obtain
 and apply secondary calibrations, the package implements the congruification
 method described in Eastman et al. (2013) <doi:10.1111/2041-210X.12051>.
 Tree dating can be performed with different methods including BLADJ (Webb et
 al. (2008) <doi:10.1093/bioinformatics/btn358>), PATHd8 (Britton et al.
 (2007) <doi:10.1080/10635150701613783>), mrBayes (Huelsenbeck and Ronquist
 (2001) <doi:10.1093/bioinformatics/17.8.754>), and treePL (Smith and O'Meara
 (2012) <doi:10.1093/bioinformatics/bts492>).

Package: r-cran-daterangepicker
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 991
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-jsonify, r-cran-shiny
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-daterangepicker_0.2.0-1.ca2004.1_all.deb
Size: 172572
MD5sum: fafbc3a74fc990fef48c26a9b2377dc8
SHA1: d9d50e45415ffc713cdd5eeac662146d08b8e2e6
SHA256: 0aee2a9ef9ccaf3bff70db320025271d12af7a3ccfad9a71dd463b9e4ebcba43
SHA512: f9bddd485ee5fab8a0411c5030a0d69f9bd18638cad3ae4fb746a4e0b14f2b0b8b417b73d7bacf077be6ccd04b5773290c70e63ab3b2351e777af5c3ec7c12c4
Homepage: https://cran.r-project.org/package=daterangepicker
Description: CRAN Package 'daterangepicker' (Create a Shiny Date-Range Input)
 A Shiny Input for date-ranges, which pops up two calendars for selecting
 dates, times, or predefined ranges like "Last 30 Days". It wraps the
 JavaScript library 'daterangepicker' which is available at
 <https://www.daterangepicker.com>.

Package: r-cran-datetime
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-chron
Filename: pool/dists/focal/main/r-cran-datetime_0.1.4-1.ca2004.1_all.deb
Size: 62120
MD5sum: b953ae9a3e90801977e47b1f85e5fa45
SHA1: 06fa7a28ecfb5a9e7a793de224d93e3671e96364
SHA256: 71131f7ee711fd19916306d140885d8c3d479f21fc358d4685267d6dbb433724
SHA512: a26f0b66e9a776df4b34ea893cf1b1bb2d39eeb0ce7eaf259bd21a701e5569792f69344e88afbfcd03e1d8384c46c8d6dbac926a33f04662c83d168f06fa90b9
Homepage: https://cran.r-project.org/package=datetime
Description: CRAN Package 'datetime' (Nominal Dates, Times, and Durations)
 Provides methods for working with nominal dates, times, and durations. Base
 R has sophisticated facilities for handling time, but these can give
 unexpected results if, for example, timezone is not handled properly.  This
 package provides a more casual approach to support cases which do not
 require rigorous treatment.  It systematically deconstructs the concepts
 origin and timezone, and de-emphasizes the display of seconds. It also
 converts among nominal durations such as seconds, hours, days, and weeks.
 See '?datetime' and '?duration' for examples. Adapted from 'metrumrg'
 <http://r-forge.r-project.org/R/?group_id=1215>.

Package: r-cran-datetimeoffset
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clock, r-cran-purrr, r-cran-vctrs
Suggests: r-cran-lubridate, r-cran-nanotime, r-cran-knitr, r-cran-parttime, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datetimeoffset_1.0.0-1.ca2004.1_all.deb
Size: 217828
MD5sum: 0e56acdef06559d01dc7219a68df3d0b
SHA1: 191e7cd7c95c92ac17e97f8ca2df80b7b3bb1a1f
SHA256: 345ba1779aadc5fecb28b26234d7eb18a66d9058f9cce47897aed1d81bbbc26b
SHA512: c5f10d435ec15ae3d47f35ec48f5c9a39f9ea23cd8591e3d6704f9b2fb148da4d5eb346a46a00efeed8f3b4d8c8020c32107c89ee3c6f677558f0017d5c26bc7
Homepage: https://cran.r-project.org/package=datetimeoffset
Description: CRAN Package 'datetimeoffset' (Datetimes with Optional UTC Offsets and/or Heterogeneous TimeZones)
 Supports import/export for a number of datetime string standards and R
 datetime classes often including lossless re-export of any original reduced
 precision including 'ISO 8601' <https://en.wikipedia.org/wiki/ISO_8601> and
 'pdfmark'
 <https://opensource.adobe.com/dc-acrobat-sdk-docs/library/pdfmark/> datetime
 strings.  Supports local/global datetimes with optional UTC offsets and/or
 (possibly heterogeneous) time zones with up to nanosecond precision.

Package: r-cran-datetimerangepicker
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1367
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-lubridate, r-cran-reactr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-datetimerangepicker_1.1.0-1.ca2004.1_all.deb
Size: 156576
MD5sum: 4b65cb7f0e753d360d94fa4081390748
SHA1: 38df953841c150ed3343619576f6f5dc51b066dd
SHA256: 8fd6d4df6eb9456b51ed36b9515cbfe99daeec31e9359a5a9d6ab8526cda6dff
SHA512: 38943d0c9b1326ae428b5cef9bc303d775b8d0d9787cb732b06cea4bfbfd62a38b950610480b6b8483708bb40c76c784ce91f0c3a72add688a2056f2494e9b5a
Homepage: https://cran.r-project.org/package=DateTimeRangePicker
Description: CRAN Package 'DateTimeRangePicker' (A Datetime Range Picker Widget for Usage in 'Shiny' Applications)
 Provides a datetime range picker widget for usage in 'Shiny'.  It creates a
 calendar allowing to select a start date and an end date as well as two
 fields allowing to select a start time and an end time.

Package: r-cran-datetimeutils
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-datetimeutils_0.6-5-1.ca2004.1_all.deb
Size: 249312
MD5sum: 7998d38394e7afe8f677076a50524864
SHA1: 12ccfe72974bfd48090c9e6df791aa55d73fdc18
SHA256: 136fca76d0fc89a90c8fee972416fd1dc2d94eac0e0596884530278f6b841dc0
SHA512: f9e4011d1618328fc57154d1757f5713a5b34f24dec57648a3006834ff46ca18b157406e8fdb1ef623db65866871dfc5d5a45d8695bdb9a7f11c2cf0469c9701
Homepage: https://cran.r-project.org/package=datetimeutils
Description: CRAN Package 'datetimeutils' (Utilities for Dates and Times)
 Utilities for handling dates and times, such as selecting particular days of
 the week or month, formatting timestamps as required by RSS feeds, or
 converting timestamp representations of other software (such as 'MATLAB' and
 'Excel') to R. The package is lightweight (no dependencies, pure R
 implementations) and relies only on R's standard classes to represent dates
 and times ('Date' and 'POSIXt'); it aims to provide efficient
 implementations, through vectorisation and the use of R's native numeric
 representations of timestamps where possible.

Package: r-cran-datetoiso
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datetoiso_0.2.0-1.ca2004.1_all.deb
Size: 51680
MD5sum: a67bb19e6e6e2c3bb21e311e41431f47
SHA1: 3189efaff827b9f87599d193c86fd5de2c5c5703
SHA256: b223fe6f85e3feeeb96b9fc86deada283f296164de30a2fc4f2541e8877c6b08
SHA512: 6b813fa0c5a73d62723448938c225790c49a42ea6a107dabb5893f854b4bce35b9a929470512220a65a0700154652cf69d663a28a9f3d945d6c3c7926f8e84a5
Homepage: https://cran.r-project.org/package=datetoiso
Description: CRAN Package 'datetoiso' (Modify Dates to ISO Standard ("International Organization forStandardization"))
 Transfer any date type to ISO standard. Package recognizes dates in given
 data frame and transform to ISO format. Only one date format can be applied
 within one data frame column.

Package: r-cran-datoramar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-datoramar_0.1.0-1.ca2004.1_all.deb
Size: 14664
MD5sum: 870358f0d9c317d9b0239369f386a9ee
SHA1: 2333c2879f2164b2a7cb75aa81d40cfacc57ff4a
SHA256: ef849941b9d007658a56f89dd93ddefc97a53000a010fc3ca71c0104e7df84e1
SHA512: d8290e82245819f5c08894e6c6ee93ed5fc2888a7082ed3a5e250a78a0093cda41ca9a064d269fb0c0d6ba3a916161797dc97403ab9d81427251ad1e945cff9c
Homepage: https://cran.r-project.org/package=datoramar
Description: CRAN Package 'datoramar' (Interface to the 'Datorama' API)
 A thin wrapper around the 'Datorama' API.  Ideal for analyzing marketing
 data from <https://datorama.com>.

Package: r-cran-datos
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-babynames, r-cran-dplyr, r-cran-forcats, r-cran-fueleconomy, r-cran-gapminder, r-cran-ggplot2, r-cran-lahman, r-cran-nasaweather, r-cran-nycflights13, r-cran-palmerpenguins, r-cran-modeldata, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datos_0.5.1-1.ca2004.1_all.deb
Size: 158676
MD5sum: cb3531e4ca86a075c06524a96b97c09b
SHA1: b0024623b49837df81b78df51854fdbe024218dd
SHA256: 39d77f469b152477115dd5168afafec8ee264eba1706720af45dc45114b1ef82
SHA512: 4686fac2c227be85d9d71742591ba6dbbce0334660ba6710f48a5f08be3601479ac356868c0ed8aafd63113c414702ebbae148fce3761cfafca47233f0793efd
Homepage: https://cran.r-project.org/package=datos
Description: CRAN Package 'datos' (Traduce al Español Varios Conjuntos de Datos de Práctica)
 Provee una versión traducida de los siguientes conjuntos de datos:
 'airlines', 'airports', 'AwardsManagers', 'babynames', 'Batting',
 'credit_data', 'diamonds', 'faithful', 'fueleconomy', 'Fielding', 'flights',
 'gapminder', 'gss_cat', 'iris', 'Managers', 'mpg', 'mtcars', 'atmos',
 'palmerpenguins', 'People, 'Pitching', 'planes', 'presidential', 'table1',
 'table2', 'table3', 'table4a', 'table4b', 'table5', 'vehicles', 'weather',
 'who'.  English: It provides a Spanish translated version of the datasets
 listed above.

Package: r-cran-datplot
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggridges, r-cran-knitr, r-cran-reshape2, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datplot_1.1.1-1.ca2004.1_all.deb
Size: 328232
MD5sum: f7bfba0e7dae2aed855eb8d9c2675829
SHA1: e37166abc3072fbce4f421cc6ca8d628aa4d511e
SHA256: 8bd57da020d2e5d7a765d110c6b12628e75a018b067be7d1d7fca0ca17560537
SHA512: ac887abd9d8e824c6c90e9eac65650e01dcab03e9259f321e7aad4bd7a2a82a6b082c095e677ca1e37381d153a8c46fae334484ef5ede2295bbb9ae9fd26f843
Homepage: https://cran.r-project.org/package=datplot
Description: CRAN Package 'datplot' (Preparation of Object Dating Ranges for Density Plots (AoristicAnalysis))
 Converting date ranges into dating 'steps' eases the visualization of
 changes in e.g. pottery consumption, style and other variables over time.
 This package provides tools to process and prepare data for visualization
 and employs the concept of aoristic analysis.

Package: r-cran-datr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datr_0.1.0-1.ca2004.1_all.deb
Size: 24168
MD5sum: efaec9453333ad2e28fbac1f9c5de953
SHA1: 241cca93bc8033b30414ccc629ff5f178874c680
SHA256: ccd7df3cb8a41ed6dccf2ce1fb43b9c23c71fb8d9b60f9f5f8535cee8279a055
SHA512: 77e5cddd48efde5a7efcd89cef41e3d527c7a245a141a39671b02c346f9178cb45b4b7572f8e3f17157f3a56b3bf2a84eabc6dc05f6067d4d14058aa0cc89037
Homepage: https://cran.r-project.org/package=datr
Description: CRAN Package 'datr' ('Dat' Protocol Interface)
 Interface with the 'Dat' p2p network protocol <https://datproject.org>.
 Clone archives from the network, share your own files, and install packages
 from the network.

Package: r-cran-datrprofile
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-odbc, r-cran-dplyr, r-cran-rsqlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-datrprofile_0.1.0-1.ca2004.1_all.deb
Size: 70696
MD5sum: 12c783352227ee1aa55cfebb4c4841b8
SHA1: c5b61d9f8072d761d59677e33ee5cac116462e7c
SHA256: 2d2bbfe9737a0f23bec7cc7a607186cfecf59c4df695d8dd742b9f11031375b1
SHA512: ca656871887caa86742dcb82a9c26e67b8114c4dcf5b0a420017ed21260ead5bbe5075e66b5262bac8f26b4adb65a4ae8b3f27db995116d3979335a383800ced
Homepage: https://cran.r-project.org/package=datrProfile
Description: CRAN Package 'datrProfile' (Column Profile for Tables and Datasets)
 Profiles datasets (collecting statistics and informative summaries about
 that data) on data frames and 'ODBC' tables: maximum, minimum, mean,
 standard deviation, nulls, distinct values, data patterns, data/format
 frequencies.

Package: r-cran-dave
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-labdsv, r-cran-vegan, r-cran-nnet, r-cran-tree
Filename: pool/dists/focal/main/r-cran-dave_2.0-1.ca2004.1_all.deb
Size: 1084104
MD5sum: 8cb3a99e870bca90a6eedce844052ce6
SHA1: 928e54d325ec4ebc96f111d425298df6c71adf57
SHA256: 1c810be93a7d3dcd1ec80d1ee2f83cba9207f938fe8643a35df918727343c781
SHA512: 36fb4f8a7471d1ed2681600950e2c60976af9ee9f166bd0d20b4b02d77a95d0c1cf39049e15d5d5dc04965dbdadc6585cc05ebc5ea26df6239ed538c7abba06e
Homepage: https://cran.r-project.org/package=dave
Description: CRAN Package 'dave' (Functions for "Data Analysis in Vegetation Ecology")
 A collection of functions accompanying the book "Data Analysis in Vegetation
 Ecology". 3rd ed. CABI, Oxfordshire, Boston.

Package: r-cran-davies
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1930
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-davies_1.2-1-1.ca2004.1_all.deb
Size: 1934596
MD5sum: 351799227b4acfa9ca708573c811d79a
SHA1: 08ea70fa1cd32faeda846bb4ffbf81acd0d4c7b0
SHA256: ce90c484fa957083ddc2edcc4320ca2dfc7a6bd64a917f41730694e9646136a8
SHA512: 10e874325efa349ac1e970a7e9b06618cd5383aa594e8d69fdea06a1544c144470047191030580836bd4d13512d95fe2a97e29894e69ca10f2b9adc1f0241a72
Homepage: https://cran.r-project.org/package=Davies
Description: CRAN Package 'Davies' (The Davies Quantile Function)
 Various utilities for the Davies distribution.

Package: r-cran-dawar
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-memoise, r-cran-cli, r-cran-httr2, r-cran-sf, r-cran-tidyrss, r-cran-rlang, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat, r-cran-cowplot, r-cran-rmapshaper, r-cran-microbenchmark, r-cran-pkgdown, r-cran-dplyr, r-cran-devtools, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-dawar_0.3.0-1.ca2004.1_all.deb
Size: 359212
MD5sum: c967d13b2ea54127f527c1be1d9634b1
SHA1: bfe39849cc16f590450f5088f0043b5e0257d47c
SHA256: ab61c6817e9979be7ecd9fe7a8a081ea01a23ae651aca61339cc000945ce0847
SHA512: 0f2f0ce3f185acecc0615302e7f9d765aa6930447d1343674cb61f3d2777bccf1dc0812f09aa23e5da3bd4b0ac947244a7d169fa38031cee8e6150e2fae60652
Homepage: https://cran.r-project.org/package=dawaR
Description: CRAN Package 'dawaR' (An API Wrapper for 'DAWA' - 'The Danish Address Web API')
 Functions for interacting with all sections of the official 'Danish Address
 Web API' (also known as 'DAWA') <https://api.dataforsyningen.dk>. The
 development of this package is completely independent from the government
 agency, Klimadatastyrelsen, who maintains the API.

Package: r-cran-daymetr
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-ncdf4, r-cran-httr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-markdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-daymetr_1.7.1-1.ca2004.1_all.deb
Size: 286140
MD5sum: d6e09febb984e33bda9369c203a1c517
SHA1: e0e92d59284a371a9f3fbee397cae5f27cb35e25
SHA256: 6764c73b1cfe7fbbf383942aed07e1bb0d0792d395e7b412f4060eca7dbda772
SHA512: 7f3afbe39e79a3b77e9f12a539c047080fedc8ea40ab8ecb108c637150d9317190d3313e191a76e8c93850c8b929fe4a49c2bf246e5313959e6e987cd124e1b1
Homepage: https://cran.r-project.org/package=daymetr
Description: CRAN Package 'daymetr' (Interface to the 'Daymet' Web Services)
 Programmatic interface to the 'Daymet' web services
 (<http://daymet.ornl.gov>). Allows for easy downloads of 'Daymet' climate
 data directly to your R workspace or your computer.  Routines for both
 single pixel data downloads and gridded (netCDF) data are provided.

Package: r-cran-days2lessons
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-days2lessons_0.1.3-1.ca2004.1_all.deb
Size: 44404
MD5sum: e074054f90dc81bc0b7ca170a4a44617
SHA1: e31235d73a9e0427bd534391dd86118c5f1dfeda
SHA256: 10ca3a31768259b686c2c26df50ce58836135a6b0009ea156ebabcfe3706f626
SHA512: cebfcf7df8b34daf5bcda9b04d8aec82ca1f2cd8c7337fdc0f772562a6049cf05416e357e7db68d03b7067e61085c2815c6935dd889d4fd4c6493b508ae6572c
Homepage: https://cran.r-project.org/package=days2lessons
Description: CRAN Package 'days2lessons' (Distributes Teachers Lessons On Days in a Balanced Manner)
 The set of teacher/class lessons is completed with a column that allocates a
 day to each lesson, so that the distribution of lessons by day, by class,
 and by teacher is as uniform as possible.  <https://vlad.bazon.net/>.

Package: r-cran-daysupply
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lme4, r-cran-rlang, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-daysupply_0.1.0-1.ca2004.1_all.deb
Size: 36472
MD5sum: d0cab7d95131374e9a679c20cd9ffb0e
SHA1: e8b82d82cb2781e35510981b3e52d23f1b32ef43
SHA256: fea77ec92426c0817652dfbf6769f4d50d2ae0265af7c04b105965bb76b6ac82
SHA512: e996045b0fe9b37f0eeff5447d36657a7a9391d7776b4e771a9f01449f9ca751c6f0e06ff89e7a02dba66cc39456e08c62c9ad388c7b88a2de8c88785fe80133
Homepage: https://cran.r-project.org/package=daySupply
Description: CRAN Package 'daySupply' (Calculating Days' Supply and Daily Dose of Prescriptions)
 Allows clinicians and researchers to compute daily dose (and subsequently
 days' supply) for prescription refills using the following methods: Fixed
 window, fixed tablet, defined daily dose (DDD), and Random Effects Warfarin
 Days' Supply (REWarDS). Daily dose is the computed dose that the patient
 takes every day. For medications with fixed dosing (e.g. direct oral
 anticoagulants) this is known and does not need to be estimated. For
 medications with varying dose such as warfarin, however, the daily dose
 should be assumed or estimated to allow measurement of drug exposure. Days’
 supply is the number of days that patients’ supply of medication will last
 after each prescription fill. Estimating days’ supply is necessary to
 calculate drug exposure. The package computes days’ supply and daily dose at
 both the prescription and patient levels. Results at the prescription level
 are denoted with “-Rx-” and those at patient level are denoted with “-Pt-”.

Package: r-cran-dbacf
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dbacf_0.2.8-1.ca2004.1_all.deb
Size: 48076
MD5sum: 53d3591fcadecdfcf96ab35fc3207664
SHA1: 072e5acfd89c1dfb3aff71c650ab905a7d50ed6e
SHA256: babfd181b7f4ed5857b796352d982bcdeafcf3553aeba2209f395c54c13e2882
SHA512: 49603b8aa811c7a7d1bc36cb747be9d109fa23b493bb0620b37faae8037274f8607167aa2bcde03a2228323a1d8552ba6910b827eb432ec0620c426af505aca5
Homepage: https://cran.r-project.org/package=dbacf
Description: CRAN Package 'dbacf' (Autocovariance Estimation via Difference-Based Methods)
 Provides methods for (auto)covariance/correlation function estimation in
 change point regression with stationary errors circumventing the
 pre-estimation of the underlying signal of the observations. Generic,
 first-order, (m+1)-gapped, difference-based autocovariance function
 estimator is based on M. Levine and I. Tecuapetla-Gómez (2023)
 <doi:10.48550/arXiv.1905.04578>. Bias-reducing, second-order, (m+1)-gapped,
 difference-based estimator is based on I. Tecuapetla-Gómez and A. Munk
 (2017) <doi:10.1111/sjos.12256>. Robust autocovariance estimator for change
 point regression with autoregressive errors is based on S. Chakar et al.
 (2017) <doi:10.3150/15-BEJ782>.  It also includes a general projection-based
 method for covariance matrix estimation.

Package: r-cran-dbcsp
Architecture: all
Version: 0.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3769
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-tsdist, r-cran-geigen, r-cran-ggplot2, r-cran-mass, r-cran-matrix, r-cran-paralleldist, r-cran-plyr, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dbcsp_0.0.2.1-1.ca2004.1_all.deb
Size: 3713756
MD5sum: f16d72c6d969be080aec50bb57403df6
SHA1: 39a213202067eb598e85df3b104a6d4a9a5d885e
SHA256: 0615ef25a514018816e40a42dc19baf712c70218006dd88282ca1f39757a070b
SHA512: 8d73ac0ccbb336661729d130a7282b23b48f8da7c7ef983efc5641aaf0924972f8668a776592130c93ad17f227dc405d4afede7978f870ec8380876b22e04f64
Homepage: https://cran.r-project.org/package=dbcsp
Description: CRAN Package 'dbcsp' (Distance-Based Common Spatial Patterns)
 A way to apply Distance-Based Common Spatial Patterns (DB-CSP) techniques in
 different fields, both classical Common Spatial Patterns (CSP) as well as
 DB-CSP. The method is composed of two phases: applying the DB-CSP algorithm
 and performing a classification.  The main idea behind the CSP is to use a
 linear transform to project data into low-dimensional subspace with a
 projection matrix, in such a way that each row consists of weights for
 signals. This transformation maximizes the variance of two-class signal
 matrices.The dbcsp object is created to compute the projection vectors. For
 exploratory and descriptive purpose, plot and boxplot functions can be used.
 Functions train, predict and selectQ are implemented for the classification
 step.

Package: r-cran-dbcvindex
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dbcvindex_1.4-1.ca2004.1_all.deb
Size: 27180
MD5sum: 4261fbf76309af68526fccb7966e7b3f
SHA1: ae47943c8bb5e39d1d63f86685f86ad858923f45
SHA256: de49f38af594f8891ddead328000b2a15224a779b75cfe3c805311662cce20c7
SHA512: 6d506f1a28732bed6c2b80138caedd5f6cfee319442fe5e35f54ad92014bf5fda60fe8bf516bc42521364881af1961d355d6c53082371a94db49b7633ea47471
Homepage: https://cran.r-project.org/package=DBCVindex
Description: CRAN Package 'DBCVindex' (Calculates the Density-Based Clustering Validation (DBCV) Index)
 A metric called 'Density-Based Clustering Validation index' (DBCV) index to
 evaluate clustering results, following the
 <https://github.com/pajaskowiak/clusterConfusion/blob/main/R/dbcv.R> 'R'
 implementation by Pablo Andretta Jaskowiak. Original 'DBCV' index article:
 Moulavi, D., Jaskowiak, P. A., Campello, R. J., Zimek, A., and Sander, J.
 (April 2014), "Density-based clustering validation", Proceedings of SDM 2014
 -- the 2014 SIAM International Conference on Data Mining (pp. 839-847),
 <doi:10.1137/1.9781611973440.96>.

Package: r-cran-dbd
Architecture: all
Version: 0.0-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-hmm.discnp, r-cran-mass, r-cran-rmutil, r-cran-spcadjust
Filename: pool/dists/focal/main/r-cran-dbd_0.0-22-1.ca2004.1_all.deb
Size: 214748
MD5sum: 1a0a198fb044f4c80f26b8848ba7b02a
SHA1: a8c230caf0e759dd4fed069035d3a3a5a593d3f6
SHA256: d7f24da2fc7d7158e6d788b2d0f5738942e27b8e47bc747f75e92dea96547796
SHA512: e23d2e4f9a890dd21f2fd9ca944d0850dfb633edafcb7348cc36342f053ed048080bb50956d87dcb9053669105dab43d10dc8cc33a00fc6048d9a7644e122b96
Homepage: https://cran.r-project.org/package=dbd
Description: CRAN Package 'dbd' (Discretised Beta Distribution)
 Tools for working with a new versatile discrete distribution, the db
 ("discretised Beta") distribution.  This package provides density
 (probability), distribution, inverse distribution (quantile) and random data
 generation functions for the db family.  It provides functions to effect
 conveniently maximum likelihood estimation of parameters, and a variety of
 useful plotting functions.  It provides goodness of fit tests and functions
 to calculate the Fisher information, different estimates of the hessian of
 the log likelihood and Monte Carlo estimation of the covariance matrix of
 the maximum likelihood parameter estimates.  In addition it provides
 analogous tools for working with the beta-binomial distribution which has
 been proposed as a competitor to the db distribution.

Package: r-cran-dbemplikegof
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dbemplikegof_1.2.4-1.ca2004.1_all.deb
Size: 496964
MD5sum: 93f6b4b608c0fcc218c8f801291fb7d3
SHA1: dd62199db41c222de3178bcf24031a42d0729ea9
SHA256: 43a9b2f1decb5ed81e640f9b63f798fd44da58f88268b8925277ff5d4a4a2c13
SHA512: bb2708713347977653b4aca1877f1df484c4f191c0067079cdc72e78b6aae7bc6cf0e3138471ff9bfcfefcf8f271e10933e324c9486542930f47ae3d535952a5
Homepage: https://cran.r-project.org/package=dbEmpLikeGOF
Description: CRAN Package 'dbEmpLikeGOF' (Goodness-of-fit and two sample comparison tests using sampleentropy)
 Goodness-of-fit and two sample comparison tests using sample entropy

Package: r-cran-dbemplikenorm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 924
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbemplikegof
Filename: pool/dists/focal/main/r-cran-dbemplikenorm_1.0.0-1.ca2004.1_all.deb
Size: 899536
MD5sum: 09946ce62b161a4936bd8843ec22075a
SHA1: 6a48ab9d9861209b32aec2f0400fa5c2d50a0459
SHA256: 85ebdb55f8f6a3ad218e70a10ae4b94040de4a2520ccc3809fe3e6d25daf6131
SHA512: 7be85774911c3b1a1acde28b6d7bfd3805562181beefa07dae53672a19e0127338ae0e416e049759a2fa096df64299e1358b664c5e2eec16181b53097485ec99
Homepage: https://cran.r-project.org/package=dbEmpLikeNorm
Description: CRAN Package 'dbEmpLikeNorm' (Test for joint assessment of normality)
 Test for joint assessment of normality

Package: r-cran-dberlibr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-emmeans, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-psych, r-cran-readr, r-cran-reshape, r-cran-rstatix, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dberlibr_0.1.3-1.ca2004.1_all.deb
Size: 284880
MD5sum: 2e685283b304914f9ee02a1075d7f48d
SHA1: d29da5027023d0a8e02ce1a15dca534b2cb02d36
SHA256: 93a6ba06dc1c1308b4c50241ca2e577ee679ada041b8b60d11149ec78d197dce
SHA512: 4052504fee9e5cb0d3175faf3106d3375fb78b71df4c2d1a251d5af9631fdaeb26f901f2f8d2ff5bd5a032399f4630a0ca4624f95b0811dd60df32e5e3e32f5c
Homepage: https://cran.r-project.org/package=DBERlibR
Description: CRAN Package 'DBERlibR' (Automated Assessment Data Analysis for Discipline-BasedEducation Research)
 Discipline-Based Education Research scientists repeatedly analyze assessment
 data to ensure question items’ reliability and examine the efficacy of a new
 educational intervention. Analyzing assessment data comprises multiple steps
 and statistical techniques that consume much of researchers’ time and are
 error-prone. While education research continues to grow across many
 disciplines of science, technology, engineering, and mathematics (STEM), the
 discipline-based education research community lacks tools to streamline
 education research data analysis. ‘DBERlibR’—an ‘R’ package to streamline
 and automate assessment data processing and analysis—fills this gap. The
 package reads user-provided assessment data, cleans them, merges multiple
 datasets (as necessary), checks assumption(s) for specific statistical
 techniques (as necessary), applies various statistical tests (e.g., one-way
 analysis of covariance, one-way repeated-measures analysis of variance), and
 presents and interprets the results all at once. By providing the most
 frequently used analytic techniques, this package will contribute to
 education research by facilitating the creation and widespread use of
 evidence-based knowledge and practices. The outputs contain a sample
 interpretation of the results for users’ convenience. User inputs are
 minimal; they only need to prepare the data files as instructed and type a
 function in the 'R' console to conduct a specific data analysis.\n For
 descriptions of the statistical methods employed in package, refer to the
 following Encyclopedia of Research Design, edited by Salkind, N. (2010)
 <doi:10.4135/9781412961288>.

Package: r-cran-dbest
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-dbest_1.8-1.ca2004.1_all.deb
Size: 87556
MD5sum: 83f4775d86134c3a7f24835ee3ca3549
SHA1: 03523da23fb7a2b7b6418a415cb8e1486f05de0b
SHA256: 3f8386585459dbe064b54a93cccafade10c3caf2a96ffa5817e43e5414eb8dab
SHA512: 3a37a8ba87e3c44d831f03d14286d1b1a71c170fb89e2ac857cb9929eb0a945c484b862b4288b9902dbddbc9a570b2f389d41b07558b5679b0b71346aaf6c148
Homepage: https://cran.r-project.org/package=DBEST
Description: CRAN Package 'DBEST' (Detecting Breakpoints and Estimating Segments in Trend)
 A program for analyzing vegetation time series, with two algorithms: 1)
 change detection algorithm that detects trend changes, determines their type
 (abrupt or non-abrupt), and estimates their timing, magnitude, number, and
 direction; 2) generalization algorithm that simplifies the temporal trend
 into main features. The user can set the number of major breakpoints or
 magnitude of greatest changes of interest for detection, and can control the
 generalization process by setting an additional parameter of
 generalization-percentage.

Package: r-cran-dbfit
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rfit
Filename: pool/dists/focal/main/r-cran-dbfit_2.0-1.ca2004.1_all.deb
Size: 92180
MD5sum: e20d75e37a7637f7c9cf913afd348e94
SHA1: 8e022720d6ae8d9ba10b42df7598eb9197e4a9ae
SHA256: 55ce2611355c0b39afb5c7e47a1d2434566c751a08be5c4e4e2e202e2dbbb6f1
SHA512: 29a5e216bc688b15b167fd316fdaf6cf5860d65febced8a3860913b803169fed3e4c5d874f74ee7c421e6a1799913c1caf6c73a5cd5a8d7611248aefe3aeac88
Homepage: https://cran.r-project.org/package=DBfit
Description: CRAN Package 'DBfit' (A Double Bootstrap Method for Analyzing Linear Models withAutoregressive Errors)
 Computes the double bootstrap as discussed in McKnight, McKean, and Huitema
 (2000) <doi:10.1037/1082-989X.5.1.87>.  The double bootstrap method provides
 a better fit for a linear model with autoregressive errors than ARIMA when
 the sample size is small.

Package: r-cran-dbflobr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 692
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-blob, r-cran-chk, r-cran-clisymbols, r-cran-crayon, r-cran-dbi, r-cran-flobr, r-cran-glue, r-cran-rlang, r-cran-rsqlite
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dbflobr_0.2.2-1.ca2004.1_all.deb
Size: 491284
MD5sum: 052850b84fcf2d9c990be5fd0ea043df
SHA1: 2e1a1d2dab5ed3e6d16794954be25350c8f982aa
SHA256: 06a32c2f2707b446014e636c257871133c4f1eeb5d265bf7eec7d5721a099e38
SHA512: c0b9b68226b6687c71a1073ee112d780f4bdf4c4a19c0fd78d91c554a9b5787aea4dcc22ea731f25f9a26dce64c0f843fc2b1c1299d8a10263113a6ae70231cc
Homepage: https://cran.r-project.org/package=dbflobr
Description: CRAN Package 'dbflobr' (Read and Write Files to SQLite Databases)
 Reads and writes files to SQLite databases
 <https://www.sqlite.org/index.html> as flobs (a flob is a blob that
 preserves the file extension).

Package: r-cran-dbgapcheckup
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1405
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-tidyr, r-cran-dplyr, r-cran-formatr, r-cran-ggplot2, r-cran-pander, r-cran-magrittr, r-cran-rmarkdown, r-cran-purrr, r-cran-questionr, r-cran-tibble, r-cran-rlang, r-cran-labelled, r-cran-naniar
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dbgapcheckup_1.1.0-1.ca2004.1_all.deb
Size: 658664
MD5sum: 0df50eba205cfb8a0366336e223eeea9
SHA1: 4f97d3e65227815f3f0d20632b36d44fc5204506
SHA256: f2bf9f1f9a6380b8bb615a661396f9fcf99f7da53802105cd0fb4cb5f5ae3604
SHA512: f75845f203b1397aff83c80aaeb823a57a7efa842cae4176af72264f237e0589840c7ac7e686e3b7c7c017800eef68719168cb1f517f0c80bb4037fa14cfe7a4
Homepage: https://cran.r-project.org/package=dbGaPCheckup
Description: CRAN Package 'dbGaPCheckup' (dbGaP Checkup)
 Contains functions that check for formatting of the Subject Phenotype data
 set and data dictionary as specified by the National Center for
 Biotechnology Information (NCBI) Database of Genotypes and Phenotypes
 (dbGaP) <https://www.ncbi.nlm.nih.gov/gap/docs/submissionguide/>.

Package: r-cran-dbglm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-tidypredict, r-cran-rlang, r-cran-tidyverse, r-cran-dbplyr, r-cran-vctrs, r-cran-knitr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-rsqlite, r-cran-duckdb, r-cran-bigrquery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dbglm_1.0.0-1.ca2004.1_all.deb
Size: 75564
MD5sum: 2ed71c32c78880762d6c681dc6343d5b
SHA1: 4f7e3db1e7368cefda7f900f21cf484898dd7170
SHA256: 00d5cf8b2d7607d2b3d6119d964240cc6975bfb45018ed4f436fa22cacb962b9
SHA512: 7ed93f716361b9d2b71d6d51625b661301a225303eedc981c2eed18e484d01d36a19aaf920c830a1fadf22de3c866ca05f5181c301e0bf8445295715163fb232
Homepage: https://cran.r-project.org/package=dbglm
Description: CRAN Package 'dbglm' (Generalised Linear Models by Subsampling and One-Step Polishing)
 Fast fitting of generalised linear models on moderately large datasets, by
 taking an initial sample, fitting in memory, then evaluating the score
 function for the full data in the database. Thomas Lumley
 <doi:10.1080/10618600.2019.1610312>.

Package: r-cran-dbgsa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dbgsa_1.2-1.ca2004.1_all.deb
Size: 1155448
MD5sum: 0b09293dfcf4c0b4d0a4f7a652ff45d0
SHA1: 8050ac409cc2720640c7103b75137961542edc36
SHA256: 61d1a11dc6de67f5f68b1a73180ae66af202ab245badab406c1d31b3cba4aa2b
SHA512: 03ddee4bac31f87def18559a13188547dcad6d330673fc7d2b55dede1cf5d072328b6ef1bb8349356b3a53618e564e4beb5cdcee7201f5d39c2c03f4169b5408
Homepage: https://cran.r-project.org/package=DBGSA
Description: CRAN Package 'DBGSA' (methods of distance-based gene set functional enrichmentanalysis)
 This package provides methods and examples to support a method of Gene Set
 Analysis (GSA).  DBGSA is a novel distance-based gene set enrichment
 analysis method. We consider that, the distance between 2 groups with
 different phenotype by focusing on the gene expression should be larger, if
 a certain gene functional set was significantly associated with a particular
 phenotype.

Package: r-cran-dbhc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-seqhmm, r-cran-traminer, r-cran-reshape2, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dbhc_0.0.3-1.ca2004.1_all.deb
Size: 61640
MD5sum: 52ab02a3e7d2772684e4ed40ac8d9339
SHA1: 493b948a75093e0057b96dee3e103d8d8c8f7ec4
SHA256: 6aa9135bb205c0fe25efdfcef0bbd25019c5512df402c6ab482fc21553497ce5
SHA512: 577a7df189a026d0a6ef358dd8c5305ca193a6590f6495a83cdc190fe7dc1705784504b1b7b3e779103a2b60eec1ab79b9a3cc7a2cfdf127c38a9fdafc7fc3e9
Homepage: https://cran.r-project.org/package=DBHC
Description: CRAN Package 'DBHC' (Sequence Clustering with Discrete-Output HMMs)
 Provides an implementation of a mixture of hidden Markov models (HMMs) for
 discrete sequence data in the Discrete Bayesian HMM Clustering (DBHC)
 algorithm. The DBHC algorithm is an HMM Clustering algorithm that finds a
 mixture of discrete-output HMMs while using heuristics based on Bayesian
 Information Criterion (BIC) to search for the optimal number of HMM states
 and the optimal number of clusters.

Package: r-cran-dbhydror
Architecture: all
Version: 0.2-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-reshape2, r-cran-xml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-dbhydror_0.2-8-1.ca2004.1_all.deb
Size: 73024
MD5sum: 1deaa704d0782dfe2a8b1394ac4ea53b
SHA1: 8d4f471d086d4afd78270e04dac46c0c6887f624
SHA256: c5fa5008699056f52af71ac3d1f5094c03d3e6c3a105660e34f207786122fedb
SHA512: 804a6bfa1fa275f1caad3fa754b28b17a8df5f2733e107e2b3ec3a8cd0c67f7db710a7a9ba15e62e653b78ca49f0d82f8ff336fdfcbaa8aafefd4c1208e134cc
Homepage: https://cran.r-project.org/package=dbhydroR
Description: CRAN Package 'dbhydroR' ('DBHYDRO' Hydrologic and Water Quality Data)
 Client for programmatic access to the South Florida Water Management
 District's 'DBHYDRO' database at
 <https://www.sfwmd.gov/science-data/dbhydro>, with functions for accessing
 hydrologic and water quality data.

Package: r-cran-dbi.table
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-bit64, r-cran-dbplyr, r-cran-rlang, r-cran-stringi
Suggests: r-cran-rmariadb, r-cran-rpostgres, r-cran-rsqlite, r-cran-data.table, r-cran-duckdb, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dbi.table_1.0.4-1.ca2004.1_all.deb
Size: 374832
MD5sum: cf04900c06b2dd3077338a27d961f4d8
SHA1: 808dcee64f499d48355003ec6c4e5a0de680378d
SHA256: dc46b8f375b6cf0695c3ae0b7e1027d90009b770a4453aa778cecb1d62b5de27
SHA512: 6a45f92e4a9c1e723a7ece58656ad85160ac76a4f58ef63d92a9af5524a7d30383093645422da06166c399df7d01909d44f33017939d8648b8b69486ab38bc1b
Homepage: https://cran.r-project.org/package=dbi.table
Description: CRAN Package 'dbi.table' (Database Queries Using 'data.table' Syntax)
 Query database tables over a 'DBI' connection using 'data.table' syntax.
 Attach database schemas to the search path. Automatically merge using
 foreign key constraints.

Package: r-cran-dbi
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1523
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-arrow, r-cran-blob, r-cran-covr, r-cran-dbitest, r-cran-dbplyr, r-cran-downlit, r-cran-dplyr, r-cran-glue, r-cran-hms, r-cran-knitr, r-cran-magrittr, r-cran-nanoarrow, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rprojroot, r-cran-rsqlite, r-cran-testthat, r-cran-vctrs, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-dbi_1.2.3-1.ca2004.1_all.deb
Size: 829464
MD5sum: 5d0566ff88090c783c5e3a7c94ab6415
SHA1: c4485fe863e17679c2ef1978b06e7237a1eab49b
SHA256: f0672d94d53e17e1994a2c9aa9681794049f35f6db16c4fe39eac04438b6f360
SHA512: 1fcbd1eee50af4918bad295bdee57ac3b2fe016550cba7d43d8cce7778e09f1f0f463ea992d478c7aaa5d2359b6a1da19988446fb4643509cb85c19504b839bd
Homepage: https://cran.r-project.org/package=DBI
Description: CRAN Package 'DBI' (R Database Interface)
 A database interface definition for communication between R and relational
 database management systems.  All classes in this package are virtual and
 need to be extended by the various R/DBMS implementations.

Package: r-cran-dbisqldf
Architecture: all
Version: 0.9.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dbi
Suggests: r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-dbisqldf_0.9.9-2-1.ca2004.1_all.deb
Size: 18464
MD5sum: 8ea00937b03eb05362bcc422931b3d59
SHA1: 33f5aab8c913f6afeaa114d51b4308b54b6df6a6
SHA256: 74b0cdac6b8ddab3e787b9d21078d9c1f5b64c0d0dafb0370afa80795764ca2a
SHA512: aec54c3dfa06ebfc9d9fb20feccffd191807023c0cb456d700259a29b7d721c702169144faea0ecd4aa3360e28f14d1152ef582a40b9d7d98bcb6bc9b1390c38
Homepage: https://cran.r-project.org/package=DBIsqldf
Description: CRAN Package 'DBIsqldf' (Manipulate R Data Frames Using SQL)
 Helper function sqldf() transparently initializes a database, imports data
 frames into it, and executes a query or other statement. This supports all
 DBI drivers to some degree, and parameterized queries.

Package: r-cran-dbitest
Architecture: all
Version: 1.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2045
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-blob, r-cran-callr, r-cran-dbi, r-cran-desc, r-cran-hms, r-cran-lubridate, r-cran-magrittr, r-cran-nanoarrow, r-cran-palmerpenguins, r-cran-rlang, r-cran-testthat, r-cran-withr
Suggests: r-cran-clipr, r-cran-constructive, r-cran-debugme, r-cran-devtools, r-cran-knitr, r-cran-lintr, r-cran-pkgload, r-cran-rmarkdown, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-dbitest_1.8.2-1.ca2004.1_all.deb
Size: 1922344
MD5sum: 4959d5607e4c66cbc82cabdb5871a096
SHA1: 56d85222258ac4cb7f7c49629900981e7e9f3205
SHA256: 35b0e3b81426c8b8b92078de6adafcc6c9411cf7f42536074da04299e058a2d7
SHA512: 06e2422cb946c43b2065d88673d6b253edc3e19bd664807e7f1e540bcb29b311b6e986f663518ffe0239b80df2656ca5b661420b1e9a990986d539e78dfd93f9
Homepage: https://cran.r-project.org/package=DBItest
Description: CRAN Package 'DBItest' (Testing DBI Backends)
 A helper that tests DBI back ends for conformity to the interface.

Package: r-cran-dblr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-xgboost, r-cran-catencoders, r-cran-metrics
Filename: pool/dists/focal/main/r-cran-dblr_0.1.0-1.ca2004.1_all.deb
Size: 32020
MD5sum: d0c89df585fbfc103566743d0298df84
SHA1: 27278cb1e963760fb32c7c177cb7771cecf7d59f
SHA256: f74f269eae9713fa3850daa054718b8a11039ca32d0bdd43aaf5de3d0e47a159
SHA512: 49328cf8e933399d050f404c85739b3b52ac1f145a86f8bd11fe2536776322e50ffdefeaa678bb8cd67ebd22a16bcef9a71f4d17befbd81ec2277cd3ad3ac78b
Homepage: https://cran.r-project.org/package=dblr
Description: CRAN Package 'dblr' (Discrete Boosting Logistic Regression)
 Trains logistic regression model by discretizing continuous variables via
 gradient boosting approach. The proposed method tries to achieve a tradeoff
 between interpretation and prediction accuracy for logistic regression by
 discretizing the continuous variables. The variable binning is accomplished
 in a supervised fashion. The model trained by this package is still a single
 logistic regression model, but not a sequence of logistic regression models.
 The fitted model object returned from the model training consists of two
 tables. One table is used to give the boundaries of bins for each continuous
 variable as well as the corresponding coefficients, and the other one is
 used for discrete variables. This package can also be used for binning
 continuous variables for other statistical analysis.

Package: r-cran-dbmc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-softimpute
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dbmc_1.0.0-1.ca2004.1_all.deb
Size: 312588
MD5sum: 80140f3f7c6ffcc24457fae0f5fa9537
SHA1: 5df35da2e36d4b566a7a0b2b9212878a1fd8acf9
SHA256: 74b5b93a404ea4feb91ed95252b73aa11e8054c0e5d622d9af926dd90a1af389
SHA512: 33934c3f9945822cfe0a829e6ee4f5e71319609097d41e408e924c36d07c62de6a08519c4316704ff5c39dfabd2cc8b88abe2ddbc141e870a09e69b855185b65
Homepage: https://cran.r-project.org/package=dbMC
Description: CRAN Package 'dbMC' (Confidence Interval for Matrix Completion via De-BiasedEstimator)
 Implements the de-biased estimator for low-rank matrix completion and
 provides confidence intervals for entries of interest. See: by Chen et al.
 (2019) <doi:10.1073/pnas.1910053116>, Mai (2021) <arXiv:2103.11749>.

Package: r-cran-dbmodelselect
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dbmodelselect_0.2.0-1.ca2004.1_all.deb
Size: 40304
MD5sum: ad400fb979c200dfc11373210c79ab1c
SHA1: a2979fe2dc78e016ce553d0f06d32faab434078c
SHA256: dc398e8eb376da12e5ee0769c5e10426af1b465368e7a0214e19eac7394f89a3
SHA512: 242cabfc08d59ccfb96ad4b2794fafa22fba0c37674803d67aee96f3382d674b68526a4f91616057fb1822e29fed2645b1c09e401450de104d0ac88b875b87cd
Homepage: https://cran.r-project.org/package=DBModelSelect
Description: CRAN Package 'DBModelSelect' (Distribution-Based Model Selection)
 Perform model selection using distribution and probability-based methods,
 including standardized AIC, BIC, and AICc. These standardized information
 criteria allow one to perform model selection in a way similar to the
 prevalent "Rule of 2" method, but formalize the method to rely on
 probability theory. A novel goodness-of-fit procedure for assessing linear
 regression models is also available. This test relies on theoretical
 properties of the estimated error variance for a normal linear regression
 model, and employs a bootstrap procedure to assess the null hypothesis that
 the fitted model shows no lack of fit. For more information, see Koeneman
 and Cavanaugh (2023) <arXiv:2309.10614>. Functionality to perform all
 subsets linear or generalized linear regression is also available.

Package: r-cran-dbnlearn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-bnviewer, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dbnlearn_0.1.0-1.ca2004.1_all.deb
Size: 25300
MD5sum: 19ddb8753a229ae17383c833b8f1c4ef
SHA1: 812eb79ec6eb527a7e3f5c7f692237aba81e678f
SHA256: f69975842c52d007b442bbf02e3136a7f2762d60e0b2dfe63c6c6e6a82ae17be
SHA512: 006dfc6e85d0b8bc597ed3fb4b42dfe5996798c0dee3b5e927791882bf4e58ac59049bd404108a1061a30f8f8d8c819090179940f502e0be4fb44d291368f67a
Homepage: https://cran.r-project.org/package=dbnlearn
Description: CRAN Package 'dbnlearn' (Dynamic Bayesian Network Structure Learning, Parameter Learningand Forecasting)
 It allows to learn the structure of univariate time series, learning
 parameters and forecasting.  Implements a model of Dynamic Bayesian Networks
 with temporal windows, with collections of linear regressors for Gaussian
 nodes, based on the introductory texts of Korb and Nicholson (2010)
 <doi:10.1201/b10391> and Nagarajan, Scutari and Lèbre (2013)
 <doi:10.1007/978-1-4614-6446-4>.

Package: r-cran-dbnmfrank
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nmf, r-cran-pmledecon
Filename: pool/dists/focal/main/r-cran-dbnmfrank_0.1.0-1.ca2004.1_all.deb
Size: 17060
MD5sum: 03d6acfcb4a8c98597dbd97da23a3258
SHA1: 9aeda14f0d4da092b47f50eba0fa35603178495e
SHA256: 41220ff9a4efe55a340ded33aa719dae08c9889e83ad3370a45ad5005090493a
SHA512: 29ad076a9af8df9cc729af57259aa9d9e26955bc247c1d74fcd0745c944ec27d8dbd3a1005c7adab18f222995e88619e791931bf2be7f1e614f9e69f4152b3e3
Homepage: https://cran.r-project.org/package=DBNMFrank
Description: CRAN Package 'DBNMFrank' (Rank Selection for Non-Negative Matrix Factorization)
 Given the non-negative data and its distribution, the package estimates the
 rank parameter for Non-negative Matrix Factorization. The method is based on
 hypothesis testing, using a deconvolved bootstrap distribution to assess the
 significance level accurately despite the large amount of optimization
 error. The distribution of the non-negative data can be either Normal
 distributed or Poisson distributed.

Package: r-cran-dbparser
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4871
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-progress, r-cran-purrr, r-cran-tibble, r-cran-xml
Suggests: r-cran-canvasxpress, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-dbparser_2.0.3-1.ca2004.1_all.deb
Size: 1402420
MD5sum: 88f91fe9b02d9c350dded2d418c8c8d6
SHA1: 0f19b4f9f34305b17b491b159c157ad3a616ea12
SHA256: 6d1552c951a8017d9ee7d2d809cca4f65944de64482682d859aab8df081700ed
SHA512: 30821cac4aea2e348d5e3582ea6a059e58825d0f7c076ff1d7a254ef6794ea24d6d8798f9eeb79aca59435f94f6b5d1343a1b47e7aea505d84a3463dfa1cda63
Homepage: https://cran.r-project.org/package=dbparser
Description: CRAN Package 'dbparser' (Drugs Databases Parser)
 This tool is for parsing public drug databases such as 'DrugBank' XML
 database <https://go.drugbank.com/>.  The parsed data are then returned in a
 proper 'R' object called 'dvobject'.

Package: r-cran-dbplot
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-purrr, r-cran-magrittr
Suggests: r-cran-dbplyr, r-cran-testthat, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dbplot_0.3.3-1.ca2004.1_all.deb
Size: 330468
MD5sum: 9268b5bca49e6714e86b487119a5072b
SHA1: 80cfbd85373ed8eb969d89194b501f1ece614a0e
SHA256: 02911b59fe369ca2ffb2ccb0bb59805e020cffe0bb321caf334ec02cb9a430c2
SHA512: eacb12de84aa96c8e02df7a363170a664d0027d605a5e910071cef2163a137f1dc3c148b3ef54a4e154bae3821ea993ab5199b9c690760f28509d2dcb5180135
Homepage: https://cran.r-project.org/package=dbplot
Description: CRAN Package 'dbplot' (Simplifies Plotting Data Inside Databases)
 Leverages 'dplyr' to process the calculations of a plot inside a database.
 This package provides helper functions that abstract the work at three
 levels: outputs a 'ggplot', outputs the calculations, outputs the formula
 needed to calculate bins.

Package: r-cran-dbplyr
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1627
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-blob, r-cran-cli, r-cran-dbi, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-withr
Suggests: r-cran-bit64, r-cran-covr, r-cran-knitr, r-cran-lahman, r-cran-nycflights13, r-cran-odbc, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rpostgresql, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dbplyr_2.5.0-1.ca2004.1_all.deb
Size: 1191624
MD5sum: 1bf6c204b04ec51fd1c845462686c70d
SHA1: 46512e600dc1dca7ceb5b05d74bbe52d9ee81538
SHA256: 1080a4aa4458b4584fa1c401db92acaa5508b68e9ee16827fceaf1a229209594
SHA512: f6de60b3ac384dd6d874bc66e44baaa1a3256e40197b7bf61b4e14b978b6e8ded9f4a858a9f4ef30dbfecf40044a2d695bfee1e49314d34f51d84de50e9a1f34
Homepage: https://cran.r-project.org/package=dbplyr
Description: CRAN Package 'dbplyr' (A 'dplyr' Back End for Databases)
 A 'dplyr' back end for databases that allows you to work with remote
 database tables as if they are in-memory data frames.  Basic features works
 with any database that has a 'DBI' back end; more advanced features require
 'SQL' translation to be provided by the package author.

Package: r-cran-dbpower
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mvtnorm, r-cran-combinat, r-cran-gbj, r-cran-kit
Suggests: r-cran-knitr, r-cran-bindata, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dbpower_0.1.0-1.ca2004.1_all.deb
Size: 90260
MD5sum: 9870f796606924aaa1757482ec91e2bb
SHA1: 00aafdba4c4ac397e84f9f528d6d8a0db23ef769
SHA256: e092b2e4c879e278c0e72c494f41e911128112ba1b8eaedcbaf9f380d275e283
SHA512: fbf24f30ecae1292b1fb7553aa1bd416bff2a4cdc5ef7c91f917bca4c27cdecac16b750b2e912f154fdbbe7f2ea8b9400f5e09567d3dca233cb233caa6b92afd
Homepage: https://cran.r-project.org/package=DBpower
Description: CRAN Package 'DBpower' (Finite Sample Power Calculations for Detection Boundary Tests)
 Calculates lower bound on power, upper bound on power, and exact power
 (small sets only) for detection boundary tests (e.g. Berk-Jones, Generalized
 Berk-Jones, innovated Berk-Jones) used in set-based inference studies. These
 detection boundary tests are described in Sun et al., (2019)
 <doi:10.1080/01621459.2019.1660170>.

Package: r-cran-dbr
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 797
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mfusampler, r-cran-coda
Filename: pool/dists/focal/main/r-cran-dbr_1.4.1-1.ca2004.1_all.deb
Size: 713240
MD5sum: 752f7e5aac55467ca162c27965c1fcd9
SHA1: 5a191e2c83d4ee59244d40178f6e13d2f4e07697
SHA256: ec8c5b7e7276d23582404f75ecd71445619640b0c6f30f6de75417fbb74f07b8
SHA512: 2d105577be970423108b35b730bf28094d4e2da2f3c33dd2ecb912eebe828a9fc25aa8d4e5a08d756e50614fe39346810abade3f33ce3f6b15f472d05b2c4743
Homepage: https://cran.r-project.org/package=DBR
Description: CRAN Package 'DBR' (Discrete Beta Regression)
 Bayesian Beta Regression, adapted for bounded discrete responses, commonly
 seen in survey responses.  Estimation is done via Markov Chain Monte Carlo
 sampling, using a Gibbs wrapper around univariate slice sampler (Neal (2003)
 <DOI:10.1214/aos/1056562461>), as implemented in the R package MfUSampler
 (Mahani and Sharabiani (2017) <DOI: 10.18637/jss.v078.c01>).

Package: r-cran-dbstats
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-pls
Suggests: r-cran-proxy
Filename: pool/dists/focal/main/r-cran-dbstats_2.0.2-1.ca2004.1_all.deb
Size: 359132
MD5sum: c0f76a9d2006e3d6b002a3c9d7258718
SHA1: 32e0867f3c55290b0c2b8b742a215a17a6fff8f0
SHA256: 56a20936d630e299783e689c307494c3e38e45a43c224d3748743abee458b7c5
SHA512: ce4e6569b986d9df3b233714f56708a1e8ff6cbac414625bc475e63fe33a0e3e6d9853e3cecf26b55c337e283a5e8e6291b8d06ad6d7a296450a4485a59bcbe2
Homepage: https://cran.r-project.org/package=dbstats
Description: CRAN Package 'dbstats' (Distance-Based Statistics)
 Prediction methods where explanatory information is coded as a matrix of
 distances between individuals. Distances can either be directly input as a
 distances matrix, a squared distances matrix, an inner-products matrix or
 computed from observed predictors.

Package: r-cran-dbtc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-dada2, r-cran-ggplot2, r-cran-pbapply, r-cran-plyr, r-bioc-shortread, r-cran-taxonomizr
Filename: pool/dists/focal/main/r-cran-dbtc_0.1.0-1.ca2004.1_all.deb
Size: 188980
MD5sum: 7161f061abc093e1941ebf81bf693e11
SHA1: 8b45b249d0ed58a57e9e5b7a06fb23ebc6eb4740
SHA256: f6208ab664cda470a095b339ccf1ca0448c23153f0e8719cb82bd90432c6fbae
SHA512: 044d428cae95d286c88e0fae97bab4d197487614327358a711199e8e019692106b8aa96b8fc7d98bd96ed20763347773abd9ac6409c6c7d9506de7a0e53a87d2
Homepage: https://cran.r-project.org/package=DBTC
Description: CRAN Package 'DBTC' (Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis)
 First using 'dada2' R tools to analyse metabarcode data, the 'DBTC' package
 then uses the BLAST algorithm to search unknown sequences against local
 databases, and then takes reduced matched results and provides best
 taxonomic assignments.

Package: r-cran-dbtcshiny
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbtc, r-cran-dt, r-cran-ggplot2, r-cran-leaflet, r-cran-leaflet.extras, r-cran-magrittr, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-dbtcshiny_0.1.2-1.ca2004.1_all.deb
Size: 256008
MD5sum: a29bd509bf98ce0c8a32295530acea08
SHA1: 812e2973ca7f45c65f044107b21872a89fa993cd
SHA256: 7d32489e353133badc9a44fe4c9cba9c858a294949d15152db00359f9135aa93
SHA512: e7d6cd0f107240d4a99dc94487ef375645c37bd274db5350cbb8096d37d1c6753f869badf85837509d3e62f26864df0fea609c4a107d1628016c9aa631c3f610
Homepage: https://cran.r-project.org/package=DBTCShiny
Description: CRAN Package 'DBTCShiny' (Dada-BLAST-Taxon Assign-Condense Metabarcode Analysis 'shiny'Application)
 Metabarcoding analysis using the 'DBTC' package is implemented here using
 'shiny' in an interactive graphical user interface to conduct Metabarcode
 analyses and visualize and filter results.

Package: r-cran-dbw
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-dbw_1.1.4-1.ca2004.1_all.deb
Size: 127648
MD5sum: 65c2f805a5997782b563cefe63543082
SHA1: 55475210277cb0826ab85d13597d61f573b548ac
SHA256: b4fa155151f0ae6879b8e380ba8975b495f2ad6320270f81dac58ffd7f948477
SHA512: 3f7f27f9559e1c3b198de3427a6cdd6cc5b0dc40f5b4ea2ce0ba8bedf1b1fff62dd6abf72ada8f8b36c543e7bdd3ff445bbd16719541d8e4142a1b7ddd5bc79e
Homepage: https://cran.r-project.org/package=dbw
Description: CRAN Package 'dbw' (Doubly Robust Distribution Balancing Weighting Estimation)
 Implements the doubly robust distribution balancing weighting proposed by
 Katsumata (2024) <doi:10.1017/psrm.2024.23>, which improves the augmented
 inverse probability weighting (AIPW) by estimating propensity scores with
 estimating equations suitable for the pre-specified parameter of interest
 (e.g., the average treatment effects or the average treatment effects on the
 treated) and estimating outcome models with the estimated inverse
 probability weights. It also implements the covariate balancing propensity
 score proposed by Imai and Ratkovic (2014) <doi:10.1111/rssb.12027> and the
 entropy balancing weighting proposed by Hainmueller (2012)
 <doi:10.1093/pan/mpr025>, both of which use covariate balancing conditions
 in propensity score estimation. The point estimate of the parameter of
 interest and its uncertainty as well as coefficients for propensity score
 estimation and outcome regression are produced using the M-estimation. The
 same functions can be used to estimate average outcomes in missing outcome
 cases.

Package: r-cran-dbwebforms
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-data.table, r-cran-stringi, r-cran-html5
Filename: pool/dists/focal/main/r-cran-dbwebforms_0.1.0-1.ca2004.1_all.deb
Size: 35852
MD5sum: f23b1529e27e2f418aafa3971681f285
SHA1: b530fcb6558a27bdc79089ed026dae70c5779df6
SHA256: a50bc3ff64509ecabeeceb3d3bb648f79e52434228c30d2ce4ea69a44935855c
SHA512: 6cff653e37a09b10e2ca231fa70ccf4b638c375145c725042d3a998c3f219113fa1a34e9d94f18bfac6548b594b0008dccdbfb7bdffa69d0e208537f27e9ac98
Homepage: https://cran.r-project.org/package=dbWebForms
Description: CRAN Package 'dbWebForms' (Produce R Functions to Create HTML Forms Based on SQL Meta Data)
 Offers meta programming style tools to generate configurable R functions
 that produce HTML forms based on table input and SQL meta data.  Also
 generates functions for collecting the parameters of those HTML forms after
 they are submitted. Useful for quickly generating HTML forms based on
 existing SQL tables. To use the resultant functions, the output files
 containing those functions must be read into the R environment (perhaps
 using base::source()).

Package: r-cran-dbx
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi
Suggests: r-cran-testthat, r-cran-urltools, r-cran-rsqlite, r-cran-rmariadb, r-cran-rmysql, r-cran-rpostgres, r-cran-rpostgresql, r-cran-hms, r-cran-jsonlite, r-cran-blob, r-cran-odbc
Filename: pool/dists/focal/main/r-cran-dbx_0.4.0-1.ca2004.1_all.deb
Size: 66444
MD5sum: 8edffae29109dc84cd8bda580459666a
SHA1: 6f0dd34f78439eecf1aa04d71b0735cd33109f68
SHA256: 3a6ef0b6eb543bbfc85b2f7eb2c8caf89502f4171d8049b0ce4a52266b8ed1eb
SHA512: f7d56bfcbe344fd67ae82baf7bee2a26a1970b912df031ff3d7c526fbd5c5e5896bd84760543b5239bce7c29ef8b1daa2561aa4e675544db5c4dcb360d530689
Homepage: https://cran.r-project.org/package=dbx
Description: CRAN Package 'dbx' (A Fast, Easy-to-Use Database Interface)
 Provides select, insert, update, upsert, and delete database operations.
 Supports 'PostgreSQL', 'MySQL', 'SQLite', and more, and plays nicely with
 the 'DBI' package.

Package: r-cran-dc3net
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-c3net, r-cran-igraph, r-bioc-reder
Filename: pool/dists/focal/main/r-cran-dc3net_1.2.0-1.ca2004.1_all.deb
Size: 841144
MD5sum: b75546aa31abfceebdb287bf8a431490
SHA1: ece5697eac651883ef250240c0a72cf788377c55
SHA256: 046826cf403a7050e14e0643e4e7cf11d1be27bdd5ff9a703396532159a146db
SHA512: 1d49e9c660bcdefacaa9f5077632b174c0753d79b905e99ab84c73ef781cb2d9d732e107f2485ef100261d0def202bb054ab811b44de64f33e6def4a3a5c44eb
Homepage: https://cran.r-project.org/package=dc3net
Description: CRAN Package 'dc3net' (Inferring Condition-Specific Networks via Differential NetworkInference)
 Performs differential network analysis to infer disease specific gene
 networks.

Package: r-cran-dca
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gparotation, r-cran-pma, r-cran-coin, r-cran-elasticnet, r-cran-locfdr, r-cran-modeest, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-dca_2.0-1.ca2004.1_all.deb
Size: 36636
MD5sum: 720e68893a024eceab91951af0a8015e
SHA1: 9fa605e5e03b515e4b7c5abfa16ebb973204213f
SHA256: 647388f29a143abe87730d8b63623b2cd917f5a1ccf7fa9af9ed504f565221e7
SHA512: 544f43f349b82436916a8cecbaa02d3bd1a944f0ebfdaa3373766706a6f0dff6f5e97b05e4b19ee6540a56fb66de589f731f57be64cc57a169b96a13780caba2
Homepage: https://cran.r-project.org/package=DCA
Description: CRAN Package 'DCA' (Dynamic Correlation Analysis for High Dimensional Data)
 Finding dominant latent signals that regulate dynamic correlation between
 many pairs of variables.

Package: r-cran-dcchoice
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-interval, r-cran-formula
Suggests: r-cran-ecdat
Filename: pool/dists/focal/main/r-cran-dcchoice_0.2.0-1.ca2004.1_all.deb
Size: 312820
MD5sum: 68d4d573d6caa8d7be09761d756dcb50
SHA1: 7ba236f3bef4b92c67670274161e39bacee3002c
SHA256: 54a57c14e2722bd104aba264126fa76e4372dc3680964a095fc7d5077f8f7bc2
SHA512: 6a318eee3da377559ed9d8edde316584b2007a1eeb0d156f7a1db014bd2e1ba228b73f13ba04cc363b32d7b1f2aab177f82c51a04bc917f31a783d11a72f3118
Homepage: https://cran.r-project.org/package=DCchoice
Description: CRAN Package 'DCchoice' (Analyzing Dichotomous Choice Contingent Valuation Data)
 Functions for analyzing dichotomous choice contingent valuation (CV) data.
 It provides functions for estimating parametric and nonparametric models for
 single-, one-and-one-half-, and double-bounded CV data. For details, see
 Aizaki et al. (2022) <doi:10.1007/s42081-022-00171-1>.

Package: r-cran-dccvalidator
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3976
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shinybs, r-cran-config, r-cran-ggplot2, r-cran-glue, r-cran-golem, r-cran-htmltools, r-cran-knitr, r-cran-markdown, r-cran-purrr, r-cran-reactable, r-cran-readr, r-cran-readxl, r-cran-reticulate, r-cran-rlang, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-skimr, r-cran-tibble, r-cran-visdat
Suggests: r-cran-covr, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dccvalidator_0.3.0-1.ca2004.1_all.deb
Size: 2931500
MD5sum: c9e133cae4d867621cee38331af48366
SHA1: bc1a1b65bc627e2ef60263ddc472502c2b8a7cc2
SHA256: 7cb6e25923e9b3394044f43a939d2768255d4dd71c4180b235935e11d5baaa49
SHA512: 1e1151aca77dc36be69c326c86357b1a3ae2e10361e99be7ea9507c098a598cec8ffa651d5f64c945a2a67ae7ca45cd370e56a7ae7f30252e3684ac56826aa0c
Homepage: https://cran.r-project.org/package=dccvalidator
Description: CRAN Package 'dccvalidator' (Metadata Validation for Data Coordinating Centers)
 Performs checks for common metadata quality issues. Used by the data
 coordinating centers for the 'AMP-AD' consortium
 (<https://adknowledgeportal.synapse.org>), 'PsychENCODE' consortium
 (<http://www.psychencode.org>), and others to validate metadata prior to
 data releases.

Package: r-cran-dcd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-data.table, r-cran-igraph, r-cran-ggplot2, r-cran-rocr, r-cran-lsa, r-cran-matrix, r-cran-lattice, r-cran-wgcna, r-cran-qlcmatrix, r-cran-foreach, r-cran-plyr, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-dcd_0.1.0-1.ca2004.1_all.deb
Size: 56444
MD5sum: f31b6ce3545fc99b0614e57677044a61
SHA1: 7d61d3c024557a3e918a5ad096ea81a532b74808
SHA256: e26338e1407d3684d39528ee813da88e5b6531a757a00f64f79b0a7b573115c3
SHA512: 3968554637acf97545041c321900a775ac92c267deee598de1711e8396be77db2d369cf3c54878a594e64391aac286c233d1309c43de8b4040384aa8278830b3
Homepage: https://cran.r-project.org/package=DCD
Description: CRAN Package 'DCD' (Differential Community Detection in Paired Biological Networks)
 A differential community detection (DCD) based approach to effectively
 locate differential sub-networks in paired scale-free biological networks,
 e.g. case vs control - Raghvendra Mall et al (2017)
 <doi:10.1145/3107411.3107418>.

Package: r-cran-dcemgmt
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlogit, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dcemgmt_0.0.1-1.ca2004.1_all.deb
Size: 58092
MD5sum: eed852a43bbec3ce3bd552b8e5cf2f91
SHA1: ce428e24d060f38f1ea1d8b3d337b6153f3c96e9
SHA256: 72685e33b06cb8a332ee219b95dd6ba6345b35e1db462915f1f2cc846c0e7a67
SHA512: fd5d47ca86e84458ac1d711fb455f6dd52a737ac18bb944dce9f4732128c736fd5707d82fa8a6f3684ff60ab60852443e094c2d7ab291722487bd174813302be
Homepage: https://cran.r-project.org/package=DCEmgmt
Description: CRAN Package 'DCEmgmt' (DCE Data Reshaping and Processing)
 Prepare the results of a DCE to be analysed through choice models.'DCEmgmt'
 reshapes DCE data from wide to long format considering the special
 characteristics of a DCE. 'DCEmgmt' includes the function 'DCEestm' which
 estimates choice models once the database has been reshaped with 'DCEmgmt'.

Package: r-cran-dcetool
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3599
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-shinybs, r-cran-shinycssloaders, r-cran-shiny, r-cran-shinywidgets, r-cran-mvtnorm, r-cran-dt, r-cran-writexl, r-cran-readxl, r-cran-idefix, r-cran-tidyr, r-cran-mlogit, r-cran-magrittr, r-cran-htmltools, r-cran-knitr, r-cran-usethis, r-cran-dfidx, r-cran-adjustedcranlogs, r-cran-rlist, r-cran-remotes, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dcetool_1.1.1-1.ca2004.1_all.deb
Size: 1406556
MD5sum: 9437e9327ae5e314d0022eb3eb21037d
SHA1: fa9492c788b27036cf589a1078953224cc18171e
SHA256: 2c3717be39d7fd56d43f5d6f5b86db059487afc3c2fc70ffabf286774c1ccc4b
SHA512: aee8e4531126c4506f42a229952b2efb92cac0dd9559ae364bc0b5e9f4a9964f4ce12cb00d65aa3eafd6be015f1e5ac620f47ad4a89e6201656831c418d1116c
Homepage: https://cran.r-project.org/package=DCEtool
Description: CRAN Package 'DCEtool' (Efficient and Accessible Discrete Choice Experiments)
 Design, conduct and analyze 'DCEs' from a virtual interface in shiny.
 Reference: Perez-Troncoso, D. (2022)
 <https://github.com/danielpereztr/DCEtool>.

Package: r-cran-dcg
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-lattice, r-cran-png
Filename: pool/dists/focal/main/r-cran-dcg_0.9.3-1.ca2004.1_all.deb
Size: 149484
MD5sum: 6bfb4c38ef5d47c5b4249a0db12a9bb3
SHA1: 9368a4a11baa475afc36f8b744a384c825d7b0cb
SHA256: 942188c650dc1118851cb820206c0355a1c23facdc25186385b868d82fccd3b8
SHA512: f6ebc566b488908d78ca181ae0e81f0e1416beb986bff98a7e47c91007c8d3a03add2e5daf0e65ad6c67d2af78f6b4f1a7ee75a03fa2e598e9bb953cad665536
Homepage: https://cran.r-project.org/package=DCG
Description: CRAN Package 'DCG' (Data Cloud Geometry (DCG): Using Random Walks to Find CommunityStructure in Social Network Analysis)
 Data cloud geometry (DCG) applies random walks in finding community
 structures for social networks.  Fushing, VanderWaal, McCowan, & Koehl
 (2013) (<doi:10.1371/journal.pone.0056259>).

Package: r-cran-dcgl
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2031
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-dcgl_2.1.2-1.ca2004.1_all.deb
Size: 2007008
MD5sum: 317e236c7198a6b53383027c1a1f431e
SHA1: 030d40bf6a9c04664fde7011c4d72d43dd108c8d
SHA256: 281c545e56382cb88f683afe575b4139a7e6b3e4038c0e2878d4302b0cdb5247
SHA512: bc795e0b35e50c060f3f771d641b2202973dc8dbab0bbde755908a17b5ec3e3be53856d8f2fec0daf9241944f332fef61e32f1830e7311a64678a963c82240d7
Homepage: https://cran.r-project.org/package=DCGL
Description: CRAN Package 'DCGL' (Differential Co-expression Analysis and Differential RegulationAnalysis of Gene Expression Microarray Data)
 Functions for 1) gene filtration; 2) link filtration; 3) differential
 co-expression analysis: DCG (Differential Coexpressed Gene) identification
 and DCL (Differentially Coexpressed Link) identification; and 4)
 differential regulation analysis: DRG (Differential Regulated Gene)
 identification, DRL (Differential Regulated Link) identification, DRL
 visualization and regulator ranking.

Package: r-cran-dcgor
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5414
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-dnet
Suggests: r-cran-foreach, r-cran-domc, r-cran-ape
Filename: pool/dists/focal/main/r-cran-dcgor_1.0.6-1.ca2004.1_all.deb
Size: 5153816
MD5sum: 97937556bbd47ec3dba9b4e3c1a6545b
SHA1: 6353530effabc61098018a815a5d6d040dc9a67e
SHA256: 8f928e570148fb1af9c1d673b1bc40d0ea3b0d0e9e5b2b75fc0c6b09bc554651
SHA512: d85f6650f4d5ba417e32dc6a058962b56a0f3499f595de9a39858f2f364131cd8ad6531b9d8a739cf04c8e19b9d53333c4d70a4b6c460e643b2038c74f25db5c
Homepage: https://cran.r-project.org/package=dcGOR
Description: CRAN Package 'dcGOR' (Analysis of Ontologies and Protein Domain Annotations)
 There lacks a package for analysing domain-centric ontologies and
 annotations, particularly those in the dcGO database. The dcGO
 (http://supfam.org/SUPERFAMILY/dcGO) is a comprehensive domain-centric
 database for annotating protein domains using a panel of ontologies
 including Gene Ontology. With the package, users are expected to analyse and
 visualise domain-centric ontologies and annotations. Supported analyses
 include but are not limited to: easy access to a wide range of ontologies
 and their domain-centric annotations; able to build customised ontologies
 and annotations; domain-based enrichment analysis and visualisation;
 construction of a domain (semantic similarity) network according to ontology
 annotations; significance analysis for estimating a contact (statistical
 significance) network via Random Walk with Restart; and high-performance
 parallel computing. The new functionalities are: 1) to create domain-centric
 ontologies; 2) to predict ontology terms for input protein sequences
 (precisely domain content in the form of architectures) plus to assess the
 predictions; 3) to reconstruct ancestral discrete characters using maximum
 likelihood/parsimony.

Package: r-cran-dchaos
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-nnet, r-cran-pracma, r-cran-sandwich
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dchaos_0.1-7-1.ca2004.1_all.deb
Size: 332768
MD5sum: 8c1f982d0ec8d99ff420a52c71359f2e
SHA1: 614201e26b448db30c979d0df9c8d303063df9ed
SHA256: 59954a7dc52121af6e7c684110fd834219caf351775b8ba6bff25273fe57eda1
SHA512: b51eaaffa99f0cb2526b12bda19823ecc5489eed6d9bf990bcfc17c52d4e1287ae1121b0b5f0d072e7e1293d83f50b712f6186ddbc3b267b1ba863756b8ffa8b
Homepage: https://cran.r-project.org/package=DChaos
Description: CRAN Package 'DChaos' (Chaotic Time Series Analysis)
 Chaos theory has been hailed as a revolution of thoughts and attracting ever
 increasing attention of many scientists from diverse disciplines. Chaotic
 systems are nonlinear deterministic dynamic systems which can behave like an
 erratic and apparently random motion. A relevant field inside chaos theory
 and nonlinear time series analysis is the detection of a chaotic behaviour
 from empirical time series data. One of the main features of chaos is the
 well known initial value sensitivity property. Methods and techniques
 related to test the hypothesis of chaos try to quantify the initial value
 sensitive property estimating the Lyapunov exponents. The DChaos package
 provides different useful tools and efficient algorithms which test robustly
 the hypothesis of chaos based on the Lyapunov exponent in order to know if
 the data generating process behind time series behave chaotically or not.

Package: r-cran-dchipio
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dchipio_0.1.5-1.ca2004.1_all.deb
Size: 86176
MD5sum: 3c65e2ccfd506440df8a5e435dd803ff
SHA1: c174920a0f7617b56542561c6378841b82cbcc05
SHA256: 1e8b3a4e71080c2cfd15fdc3be46dd44577cffe01511678e4969ef64d6066617
SHA512: 20b54efda8898af6c2187bd1130f72901dd4078e2c1921f70d843e9831537dbbc3340af4bbadc22e9426605ef38275008603cfbba573c9044a69449f45baf11c
Homepage: https://cran.r-project.org/package=dChipIO
Description: CRAN Package 'dChipIO' (Methods for Reading dChip Files)
 Functions for reading DCP and CDF.bin files generated by the dChip software.

Package: r-cran-dci
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2506
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-magrittr, r-cran-units, r-cran-sf, r-cran-tidygraph, r-cran-sfnetworks, r-cran-igraph, r-cran-tidyselect
Suggests: r-cran-furrr, r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dci_1.0.2-1.ca2004.1_all.deb
Size: 1957760
MD5sum: f58e31ef01977fc0180da0d0199cb2e5
SHA1: ac110262541a3d1bed64b28a981cbcf1c7391982
SHA256: 03d9f2b46c4c31cb50c071adc4847c4d304cc4202c335266951721a07d1c588a
SHA512: 6e01f2b2d9e5fbb90973ab4a526626761255323bae1240dc0dd07e98a4d1cf08bdd1d83081e7c25df016c09c429e1c2c84bbd4dca235d7610a2cd8076c13e06f
Homepage: https://cran.r-project.org/package=dci
Description: CRAN Package 'dci' (Calculate the Dendritic Connectivity Index in River Networks)
 Calculate and analyze ecological connectivity across the watercourse of
 river networks using the Dendritic Connectivity Index.

Package: r-cran-dcl
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-dcl_0.1.2-1.ca2004.1_all.deb
Size: 203632
MD5sum: 6ea823b03f90a161f36cfdcee6e9758d
SHA1: 8d568b816be754d1f47f1740f1c277d45221c690
SHA256: 0cc5abd05a7799bc833fce6aa353f52a609847f57eb5c57533d544a915e88312
SHA512: 50f3ccb2cb2c06904da99e74b3cb612ad0cf483a6df4d035adfc2982e1a5db3e074540ebb8d1a6919c9eb8eef6db3dce4ef40414e1e677c3c6992d883c1bc44d
Homepage: https://cran.r-project.org/package=DCL
Description: CRAN Package 'DCL' (Claims Reserving under the Double Chain Ladder Model)
 Statistical modelling and forecasting in claims reserving in non-life
 insurance under the Double Chain Ladder framework by Martinez-Miranda,
 Nielsen and Verrall (2012).

Package: r-cran-dclone
Architecture: all
Version: 2.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 734
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-matrix, r-cran-rjags, r-cran-rstan, r-cran-r2openbugs
Suggests: r-cran-mass, r-cran-lattice, r-cran-r2winbugs, r-cran-brugs, r-cran-rlecuyer
Filename: pool/dists/focal/main/r-cran-dclone_2.3-2-1.ca2004.1_all.deb
Size: 690540
MD5sum: e897a7d56456cafac004f5be7b995a6a
SHA1: 41b8c27c9449ee419588cec58e383dce78d28c5e
SHA256: 7d88c08498f74f172b0fe04b4e588bb06008a78d00a28e760fd091c85aca3b88
SHA512: 6ee2d28f58558b2d2cdcbe3d4784a19039820383b5fd6a37bd0ed0da9f2b953be3d5c9308f83dfd4f5ad60fc0fcc91d8ff95c7a82b40bed20f2cdb44ee8460d8
Homepage: https://cran.r-project.org/package=dclone
Description: CRAN Package 'dclone' (Data Cloning and MCMC Tools for Maximum Likelihood Methods)
 Low level functions for implementing maximum likelihood estimating
 procedures for complex models using data cloning and Bayesian Markov chain
 Monte Carlo methods as described in Solymos 2010 <doi:10.32614/RJ-2010-011>.
 Sequential and parallel MCMC support for 'JAGS', 'WinBUGS', 'OpenBUGS', and
 'Stan'.

Package: r-cran-dclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openssl, r-cran-phylogram
Filename: pool/dists/focal/main/r-cran-dclust_0.1.0-1.ca2004.1_all.deb
Size: 20604
MD5sum: 22e8b69709c37833ac6fbb666d151815
SHA1: d242debff2c740d073e9bc987ac7133dc9cb5752
SHA256: be0b173f35a7d06694b92eb47c24bc652ff104faf30b74bed9391dda44d0c3db
SHA512: 8575f8d035274164d8f87430c1957d95675ce254f2105fd870d1a943a0d383c13c59a0910465f8f9460ac50c90eec5b7c08e2f1835829af679126bcf67232f9c
Homepage: https://cran.r-project.org/package=dclust
Description: CRAN Package 'dclust' (Divisive Hierarchical Clustering)
 Contains a single function dclust() for divisive hierarchical clustering
 based on recursive k-means partitioning (k = 2). Useful for clustering large
 datasets where computation of a n x n distance matrix is not feasible (e.g.
 n > 10,000 records).  For further information see Steinbach, Karypis and
 Kumar (2000)
 <http://glaros.dtc.umn.edu/gkhome/fetch/papers/docclusterKDDTMW00.pdf>.

Package: r-cran-dclusterm
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4047
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sp, r-cran-spacetime, r-cran-dcluster, r-cran-xts, r-cran-lme4
Suggests: r-cran-pscl, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-dclusterm_1.0-2-1.ca2004.1_all.deb
Size: 3891856
MD5sum: cad361c891c40aa5d6a611622e6778ac
SHA1: af848b1f0f22a29cc66fc98c807831af0232f45b
SHA256: d87b9e2026542981e0158bb72285b940f692058d04f19976871635b76d1ef7c1
SHA512: 3ec6dfa2f7e2bea8e1381ec1f79748cc9ba6e7ae42fedc6d5ba4f1544f60750e839c92dc2b3eeb98386f64d09a072404aae16db5dc47b59b9c2f9398ac141305
Homepage: https://cran.r-project.org/package=DClusterm
Description: CRAN Package 'DClusterm' (Model-Based Detection of Disease Clusters)
 Model-based methods for the detection of disease clusters using GLMs, GLMMs
 and zero-inflated models. These methods are described in 'V. Gómez-Rubio et
 al.' (2019) <doi:10.18637/jss.v090.i14> and 'V. Gómez-Rubio et al.' (2018)
 <doi:10.1007/978-3-030-01584-8_1>.

Package: r-cran-dcminfo
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cdm
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dcminfo_0.1.7-1.ca2004.1_all.deb
Size: 55284
MD5sum: 8f94c5f991914aef5e30a3f94b42e19a
SHA1: b4184b1787cb6b4971952bc51bfe86d36af96668
SHA256: 8f9c0ba934bc19b3196c56e0df2b420b6e57d7cb745a4c7fa7245829a7df297e
SHA512: 66faca578191e2a981a8b982eab4e13beb0ef0d9f16e63af83b1254d962e6c541a5c164bc1585457ff0e28f7a863cbd03247172ef06200961e7ac3e68341807d
Homepage: https://cran.r-project.org/package=dcminfo
Description: CRAN Package 'dcminfo' (Information Matrix for Diagnostic Classification Models)
 A set of asymptotic methods that can be used to directly estimate the
 expected (Fisher) information matrix by Liu, Tian, and Xin (2016)
 <doi:10.3102/1076998615621293> in diagnostic classification models or
 cognitive diagnostic models are provided when marginal maximum likelihood
 estimation is used. For these methods, both the item and structural model
 parameters are considered simultaneously. Specifically, the observed
 information matrix, the empirical cross-product information matrix and the
 sandwich-type co-variance matrix that can be used to estimate the asymptotic
 co-variance matrix (or the model parameter standard errors) within the
 context of diagnostic classification models are provided.

Package: r-cran-dcmle
Architecture: all
Version: 0.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dclone, r-cran-coda, r-cran-lattice
Suggests: r-cran-mass, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-dcmle_0.4-1-1.ca2004.1_all.deb
Size: 503224
MD5sum: d19dcd796641ffe8d48588b502b5655d
SHA1: 8543595d33c4b9b23820d01029eb6a0a0bcbfe8c
SHA256: b55a87ebc256c6d6bfa368450b2e51883addfd8511312f3cbd83aa4206ac0584
SHA512: 8d41fc2c283d3d2603e6fbdb1cc1a06c6420643863c6f0ceb88e3925cd7c9bb957efd72163e9180e8308fd33feba8780870c16a356f443fbe745cf96f6d9b14a
Homepage: https://cran.r-project.org/package=dcmle
Description: CRAN Package 'dcmle' (Hierarchical Models Made Easy with Data Cloning)
 S4 classes around infrastructure provided by the 'coda' and 'dclone'
 packages to make package development easy as a breeze with data cloning for
 hierarchical models.

Package: r-cran-dcmodify
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yaml, r-cran-validate, r-cran-lumberjack, r-cran-settings
Suggests: r-cran-simplermarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-dcmodify_0.9.0-1.ca2004.1_all.deb
Size: 185264
MD5sum: 672a442c58552a219230e81582f24397
SHA1: f3d347ab05bdf62dccb60b6d34df9dad6dfdc9e5
SHA256: b04f43419fcf1d58e1806b2e26db7b465796e6766bfd16ccbc01f1c51edd52e9
SHA512: d917d17713c0442fae6f83310f2864031a645c09ef645305f0bcf0d705f0ccb5194899279fd1c520e9ba39c3a6c0e91b92e9071b87c7e00f9b22aeb120a7ce0b
Homepage: https://cran.r-project.org/package=dcmodify
Description: CRAN Package 'dcmodify' (Modify Data Using Externally Defined Modification Rules)
 Data cleaning scripts typically contain a lot of 'if this change that' type
 of statements. Such statements are typically condensed expert knowledge.
 With this package, such 'data modifying rules' are taken out of the code and
 become in stead parameters to the work flow. This allows one to maintain,
 document, and reason about data modification rules as separate entities.

Package: r-cran-dcmodifydb
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-dbplyr, r-cran-dbi, r-cran-dcmodify, r-cran-validate
Suggests: r-cran-testthat, r-cran-rsqlite, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dcmodifydb_0.3.1-1.ca2004.1_all.deb
Size: 57492
MD5sum: 28d72b7bd1f39fccd29c0314c5fa46fa
SHA1: bfdaf283ed934a988ff6438239a0284b4e867fca
SHA256: 807d83ba08f5d84d87e71749c4b4cb13c66fe4bbc63232f122975af3dde087c5
SHA512: f35122cd118875ff24452d5cd94342675d8c0a159f395df17bc163063b0b2edd2e75cb4b8566f094d4589d6283ddc34a63e4a213901c95b953acc2145cf3f43d
Homepage: https://cran.r-project.org/package=dcmodifydb
Description: CRAN Package 'dcmodifydb' (Modifying Rules on a DataBase)
 Apply modification rules from R package 'dcmodify' to the database,
 prescribing and documenting deterministic data cleaning steps on records in
 a database.  The rules are translated into SQL statements using R package
 'dbplyr'.

Package: r-cran-dcode
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr
Filename: pool/dists/focal/main/r-cran-dcode_1.0-1.ca2004.1_all.deb
Size: 31216
MD5sum: 6562767e43c56c8fc07e042f9f199d3e
SHA1: 11ea4efb4ba81adc2dec8763ff1dd58242fdc51d
SHA256: 93811f139a0e3ee4334bf43b7cf61ec2ccf37907f8f368c3edc4655900fc9444
SHA512: f47ef30e333c1855b29a0f9ed10884cba8c005fd7bcffc698ea4acc5fade56103cc8ee02b5613d2d9448dc3017a7a5b114f91dd91381506495700ed1dea40f84
Homepage: https://cran.r-project.org/package=DCODE
Description: CRAN Package 'DCODE' (List Linear n-Peptide Constraints for Overlapping ProteinRegions)
 Traversal graph algorithm for listing linear n-peptide constraints for
 overlapping protein regions. (Lebre and Gascuel, The combinatorics of
 overlapping genes, freely available from arXiv at :
 http://arxiv.org/abs/1602.04971).

Package: r-cran-dcorvs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dcov, r-cran-rfast
Suggests: r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-dcorvs_1.1-1.ca2004.1_all.deb
Size: 31308
MD5sum: 3c829ad533ca1423c38ce008a6cf078f
SHA1: 1bc3395a02572d5ef5e63e5912c133c53173a1d5
SHA256: 094af30f617d5a2e4cda16aaa0b38750c075ebe6be9c57b83ecb0bbf3bdad860
SHA512: 767b853466568f55051d7c40be7ffc1d70087e6e8726ada7653473321cfbca02599df225a511165c63c6e9d1aaba6a6e14976c1c7a1b402a68ab9895475c0a74
Homepage: https://cran.r-project.org/package=dcorVS
Description: CRAN Package 'dcorVS' (Variable Selection Algorithms Using the Distance Correlation)
 The 'FBED' and 'mmpc' variable selection algorithms have been implemented
 using the distance correlation. The references include: Tsamardinos I.,
 Aliferis C. F. and Statnikov A. (2003). "Time and sample efficient discovery
 of Markovblankets and direct causal relations". In Proceedings of the ninth
 ACM SIGKDD international Conference. <doi:10.1145/956750.956838>.
 Borboudakis G. and Tsamardinos I. (2019). "Forward-backward selection with
 early dropping". Journal of Machine Learning Research, 20(8): 1--39.
 <doi:10.48550/arXiv.1705.10770>. Huo X. and Szekely G.J. (2016). "Fast
 computing for distance covariance". Technometrics, 58(4): 435--447.
 <doi:10.1080/00401706.2015.1054435>.

Package: r-cran-dcovts
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dcov, r-cran-doparallel, r-cran-foreach, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-dcovts_1.4-1.ca2004.1_all.deb
Size: 179236
MD5sum: 178702b017f12af49592c83d57506926
SHA1: b8278f6914133eec316e2ab29f5f2622196cd252
SHA256: e5c9818701a5bb72268870f960cab4d97f9dba406a3faed404165b5b045c5c76
SHA512: e73685c692ec441a5bc56d8491b199600e64aa0f373347ee5692f9a694fed4209b52ce65082f5f797b8965e2dddf0d86d0fe44168987a602129ed1d6e80e19cf
Homepage: https://cran.r-project.org/package=dCovTS
Description: CRAN Package 'dCovTS' (Distance Covariance and Correlation for Time Series Analysis)
 Computing and plotting the distance covariance and correlation function of a
 univariate or a multivariate time series. Both versions of biased and
 unbiased estimators of distance covariance and correlation are provided.
 Test statistics for testing pairwise independence are also implemented. Some
 data sets are also included. References include: a) Edelmann Dominic,
 Fokianos Konstantinos and Pitsillou Maria (2019). 'An Updated Literature
 Review of Distance Correlation and Its Applications to Time Series'.
 International Statistical Review, 87(2): 237--262. <doi:10.1111/insr.12294>.
 b) Fokianos Konstantinos and Pitsillou Maria (2018). 'Testing independence
 for multivariate time series via the auto-distance correlation matrix'.
 Biometrika, 105(2): 337--352. <doi:10.1093/biomet/asx082>.  c) Fokianos
 Konstantinos and Pitsillou Maria (2017). 'Consistent testing for pairwise
 dependence in time series'. Technometrics, 59(2): 262--270.
 <doi:10.1080/00401706.2016.1156024>.  d) Pitsillou Maria and Fokianos
 Konstantinos (2016). 'dCovTS: Distance Covariance/Correlation for Time
 Series'. R Journal, 8(2):324-340. <doi:10.32614/RJ-2016-049>.

Package: r-cran-dctensor
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-fields, r-cran-rtensor, r-cran-nntensor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dctensor_1.3.0-1.ca2004.1_all.deb
Size: 1384956
MD5sum: c61671f8586e65ccfa3d03682ab35f44
SHA1: 0cb28bd05360e41e238ccca193c20d9c089e943a
SHA256: ff45d6fa2a21e32b7cb6e8b8c03919c2bc425e2535854e0c9a05be1bcdb6b2e3
SHA512: e25226ce95c7c20fcb5364de6ef3acf1df69d8d0cf01439e8a8e5ce8c66cbf3702547ebf275cb7f6269648a1c4c2384d1a96f9fa917c8163a91a20829efa9b3d
Homepage: https://cran.r-project.org/package=dcTensor
Description: CRAN Package 'dcTensor' (Discrete Matrix/Tensor Decomposition)
 Semi-Binary and Semi-Ternary Matrix Decomposition are performed based on
 Non-negative Matrix Factorization (NMF) and Singular Value Decomposition
 (SVD). For the details of the methods, see the reference section of GitHub
 README.md <https://github.com/rikenbit/dcTensor>.

Package: r-cran-dcur
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-mclust, r-cran-mass, r-cran-ppcor, r-cran-ggplot2, r-cran-dplyr, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-snow
Filename: pool/dists/focal/main/r-cran-dcur_1.0.1-1.ca2004.1_all.deb
Size: 579388
MD5sum: 24d4db41e1f2fd22b650ce1ab0dc69dc
SHA1: 9713561574abaf4a6bf8aceed73e85231355688d
SHA256: 1d0db038fe1b010113f969109cfee0d175ebb255d98a0b06cf2fb0756f020bec
SHA512: b5bfd06f35b2e55bb7520028f6391fe01f00128cdefbe23d1d04b141e06ef01d6464360d9d7a93348aad73337ef718313e95cbf16f03b43ec284c225bbc6395b
Homepage: https://cran.r-project.org/package=dCUR
Description: CRAN Package 'dCUR' (Dimension Reduction with Dynamic CUR)
 Dynamic CUR (dCUR) boosts the CUR decomposition (Mahoney MW., Drineas P.
 (2009) <doi:10.1073/pnas.0803205106>) varying the k, the number of columns
 and rows used, and its final purposes to help find the stage, which
 minimizes the relative error to reduce matrix dimension.  The goal of CUR
 Decomposition is to give a better interpretation of the matrix decomposition
 employing proper variable selection in the data matrix, in a way that yields
 a simplified structure. Its origins come from analysis in genetics.  The
 goal of this package is to show an alternative to variable selection
 (columns) or individuals (rows). The idea proposed consists of adjusting the
 probability distributions to the leverage scores and selecting the best
 columns and rows that minimize the reconstruction error of the matrix
 approximation ||A-CUR||. It also includes a method that recalibrates the
 relative importance of the leverage scores according to an external variable
 of the user's interest.

Package: r-cran-dcurves
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-survival, r-cran-tibble
Suggests: r-cran-broom.helpers, r-cran-covr, r-cran-gtsummary, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-dcurves_0.5.0-1.ca2004.1_all.deb
Size: 363692
MD5sum: 82aa9f7ef4e320b5e256f4d27e78f0c4
SHA1: d7f4bb8cb57f90e7b188cb610f025512650689a9
SHA256: da772dad9abbabca1634dfa8266226c96909d9b0894ea184da00be82ce7393dd
SHA512: 875f2a0adfe3410451b55f5c028f3fc7f77335dfd9b34dddcf57a01b643098e2ef474d34c427280e0f0103d1d0a037e726e4e56f6a237fa735f58693e423c1d1
Homepage: https://cran.r-project.org/package=dcurves
Description: CRAN Package 'dcurves' (Decision Curve Analysis for Model Evaluation)
 Diagnostic and prognostic models are typically evaluated with measures of
 accuracy that do not address clinical consequences.  Decision-analytic
 techniques allow assessment of clinical outcomes, but often require
 collection of additional information may be cumbersome to apply to models
 that yield a continuous result. Decision curve analysis is a method for
 evaluating and comparing prediction models that incorporates clinical
 consequences, requires only the data set on which the models are tested, and
 can be applied to models that have either continuous or dichotomous results.
 See the following references for details on the methods: Vickers (2006)
 <doi:10.1177/0272989X06295361>, Vickers (2008) <doi:10.1186/1472-6947-8-53>,
 and Pfeiffer (2020) <doi:10.1002/bimj.201800240>.

Package: r-cran-dda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dhsic, r-cran-energy, r-cran-foreach
Suggests: r-cran-boot, r-cran-doparallel, r-cran-devtools, r-cran-interactions, r-cran-iterators, r-cran-lmtest, r-cran-moments, r-cran-spelling, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-dda_0.1.0-1.ca2004.1_all.deb
Size: 152248
MD5sum: 246c8e619993135ab657049d632a5db2
SHA1: 24022c9e6d8c3f0a76015ae491b3a99cadee2d86
SHA256: ea03f3bc4ed8a227641c3c970823b1886172022620ba7c725aea8a286487f16f
SHA512: 584426f5d9dde822c20e06f68791166a1a34d8873ecd75fce9f9047be4b064216835cf166bc07946c9b4d9ff50324a89e1567d29ea1abb945882255ca5bcb7a7
Homepage: https://cran.r-project.org/package=dda
Description: CRAN Package 'dda' (Direction Dependence Analysis)
 A collection of tests to analyze the causal direction of dependence in
 linear models (Wiedermann, W., & von Eye, A., 2025, ISBN: 9781009381390).
 The package includes functions to perform Direction Dependence Analysis for
 variable distributions, residual distributions, and independence properties
 of predictors and residuals in competing causal models. In addition, the
 package contains functions to test the causal direction of dependence in
 conditional models (i.e., models with interaction terms) For more
 information see <https://www.ddaproject.com>.

Package: r-cran-ddecompose
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rifreg, r-cran-formula, r-cran-hmisc, r-cran-pbapply, r-cran-sandwich, r-cran-ranger, r-cran-fastglm
Suggests: r-cran-testthat, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ddecompose_1.0.0-1.ca2004.1_all.deb
Size: 1347604
MD5sum: ee70e09a4e964f423b3c7fc8c911a898
SHA1: 934625c1db2c5f389068ef25949655a7112bc451
SHA256: 797507401d38bbe7b78a8449703d4dac7aa43bafaf311cbf2d4529cc6bfe0e63
SHA512: 65b802efadae44748eb7f373f74df9d1da5c67da718235f408e7696205097f2bdb9ea8f8fadca7b822129e7ae10d0cd7b0adb8abb338d6b70432d788db3c7a5a
Homepage: https://cran.r-project.org/package=ddecompose
Description: CRAN Package 'ddecompose' (Detailed Distributional Decomposition)
 Implements the Oaxaca-Blinder decomposition method and generalizations of it
 that decompose differences in distributional statistics beyond the mean.
 The function ob_decompose() decomposes differences in the mean outcome
 between two groups into one part explained by different covariates
 (composition effect) and into another part due to differences in the way
 covariates are linked to the outcome variable (structure effect). The
 function further divides the two effects into the contribution of each
 covariate and allows for weighted doubly robust decompositions. For
 distributional statistics beyond the mean, the function performs the
 recentered influence function (RIF) decomposition proposed by Firpo, Fortin,
 and Lemieux (2018).  The function dfl_decompose() divides differences in
 distributional statistics into an composition effect and a structure effect
 using inverse probability weighting as introduced by DiNardo, Fortin, and
 Lemieux (1996). The function also allows to sequentially decompose the
 composition effect into the contribution of single covariates.  References:
 Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2018)
 <doi:10.3390/econometrics6020028>. "Decomposing Wage Distributions Using
 Recentered Influence Function Regressions."  Fortin, Nicole M., Thomas
 Lemieux, and Sergio Firpo. (2011) <doi:10.3386/w16045>. "Decomposition
 Methods in Economics."  DiNardo, John, Nicole M. Fortin, and Thomas Lemieux.
 (1996) <doi:10.2307/2171954>. "Labor Market Institutions and the
 Distribution of Wages, 1973-1992: A Semiparametric Approach."  Oaxaca,
 Ronald. (1973) <doi:10.2307/2525981>. "Male-Female Wage Differentials in
 Urban Labor Markets."  Blinder, Alan S. (1973) <doi:10.2307/144855>. "Wage
 Discrimination: Reduced Form and Structural Estimates."

Package: r-cran-ddi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ddi_0.1.0-1.ca2004.1_all.deb
Size: 18496
MD5sum: 7d81269de41a61a97c6fb2c1ecd3f1d7
SHA1: bf2eb2fd9a0d9733e3bcad1785c002f92da14e21
SHA256: b6e3cad0db9cc63184d0318cb706c6d44b961e50e161721f210b15691b7f3511
SHA512: 2e7b92ffa1d03a45bccf1b6824fad3a3685a507de8b79bec06e46efddc5947f7913453586de6e2f00d4aaf654e2e7a50dfa05045cd9c79c09f058dc629f0a219
Homepage: https://cran.r-project.org/package=ddi
Description: CRAN Package 'ddi' (The Data Defect Index for Samples that May not be IID)
 Implements Meng's data defect index (ddi), which represents the degree of
 sample bias relative to an iid sample. The data defect correlation (ddc)
 represents the correlation between the outcome of interest and the selection
 into the sample; when the sample selection is independent across the
 population, the ddc is zero. Details are in Meng (2018)
 <doi:10.1214/18-AOAS1161SF>, "Statistical Paradises and Paradoxes in Big
 Data (I): Law of Large Populations, Big Data Paradox, and the 2016 US
 Presidential Election." Survey estimates from the Cooperative Congressional
 Election Study (CCES) is included to replicate the article's results.

Package: r-cran-ddiv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-segmented, r-cran-qpdf
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ddiv_0.1.1-1.ca2004.1_all.deb
Size: 400176
MD5sum: c68002ab9ca0d1ddeb638dacb07d31db
SHA1: 542c6cb4de8c58de78c51d498eef46417289d376
SHA256: 98bdfc6870020ab969a0070e0e75325889b2328db0c821377e418f2bf15a6375
SHA512: 0fa0ae8b24a717380a4f2c1bba51756665d84d1a69e031d5d897fd02a9225a3501073f28fcaa25019a9c22c15cdf977c82b4dcb54bc3d510bc1b871899a91331
Homepage: https://cran.r-project.org/package=ddiv
Description: CRAN Package 'ddiv' (Data Driven I-v Feature Extraction)
 The Data Driven I-V Feature Extraction is used to extract Current-Voltage
 (I-V) features from I-V curves. I-V curves indicate the relationship between
 current and voltage for a solar cell or Photovoltaic (PV) modules. The I-V
 features such as maximum power point (Pmp), shunt resistance (Rsh), series
 resistance (Rs),short circuit current (Isc), open circuit voltage (Voc),
 fill factor (FF), current at maximum power (Imp) and voltage at maximum
 power(Vmp) contain important information of the performance for PV modules.
 The traditional method uses the single diode model to model I-V curves and
 extract I-V features.  This package does not use the diode model, but uses
 data-driven a method which select different linear parts of the I-V curves
 to extract I-V features.  This method also uses a sampling method to
 calculate uncertainties when extracting I-V features. Also, because of the
 partially shaded array, "steps" occurs in I-V curves. The "Segmented
 Regression" method is used to identify steps in I-V curves.  This material
 is based upon work supported by the U.S. Department of Energy’s Office of
 Energy Efficiency and Renewable Energy (EERE) under Solar Energy
 Technologies Office (SETO) Agreement Number DE-EE0007140. Further
 information can be found in the following paper.  [1] Ma, X. et al, 2019.
 <doi:10.1109/JPHOTOV.2019.2928477>.

Package: r-cran-ddiwr
Architecture: all
Version: 0.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admisc, r-cran-base64enc, r-cran-declared, r-cran-digest, r-cran-xml2, r-cran-haven, r-cran-readxl, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-ddiwr_0.19-1.ca2004.1_all.deb
Size: 407412
MD5sum: 8bafa1c6ccc689049117da2cf127a26a
SHA1: bf4a8f7dbc687b5db8cb3bc9bee6e03db285af25
SHA256: 9986ed1f8a34611a60a55b5653c23082013e11663476088300308956a708205d
SHA512: 7d70e5f6a0e1e1e2ba6e7221320e3ed41538a634f7db8902ae1d86fb3bfd6aeac00ca2f937eaabc7ba85e047e866256bcad24c708a19a0592e3d7d296fd98a3b
Homepage: https://cran.r-project.org/package=DDIwR
Description: CRAN Package 'DDIwR' (DDI with R)
 Useful functions for various DDI (Data Documentation Initiative) related
 inputs and outputs. Converts data files to and from DDI, SPSS, Stata, SAS, R
 and Excel, including user declared missing values.

Package: r-cran-ddl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ddl_1.0.2-1.ca2004.1_all.deb
Size: 33580
MD5sum: 17683b69d412247c3d878f520a615844
SHA1: 9db66218fd6c2a5ffac9d0b94e96062cebda01da
SHA256: b3fcddd70ebd7109b96feff70ea89186ab2abf6841134b8f5a829b7e3bab48f8
SHA512: 3f7ffc73236b79b7d8f26cbb23e2d907fc02141f7b732d1f47ec51b17ec805e25fda129b2ab1b61bdbb97b81bf9735a77a1140680127ac9eca60117fa653de3a
Homepage: https://cran.r-project.org/package=DDL
Description: CRAN Package 'DDL' (Doubly Debiased Lasso (DDL))
 Statistical inference for the regression coefficients in high-dimensional
 linear models with hidden confounders. The Doubly Debiased Lasso method was
 proposed in <arXiv:2004.03758>.

Package: r-cran-ddm
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ddm_1.0-0-1.ca2004.1_all.deb
Size: 172740
MD5sum: 56cf3a888c13fa203b730665a34e6dbe
SHA1: 53ba49b9d5d3c19c0bcb703f1f2e780295ac3474
SHA256: a2a7e61a72daf1244bc7e09307aacf6fc56294cd8020f59e7d777861f7f1b6ce
SHA512: ff39143a7364bd0306b6bfcacf1a60385072586b3d33c3b979de53b59d93a13355933dc57da37b84951edc37c159657bb662605a4efed7129926a0aec9030355
Homepage: https://cran.r-project.org/package=DDM
Description: CRAN Package 'DDM' (Death Registration Coverage Estimation)
 A set of three two-census methods to the estimate the degree of death
 registration coverage for a population. Implemented methods include the
 Generalized Growth Balance method (GGB), the Synthetic Extinct Generation
 method (SEG), and a hybrid of the two, GGB-SEG. Each method offers automatic
 estimation, but users may also specify exact parameters or use a graphical
 interface to guess parameters in the traditional way if desired.

Package: r-cran-ddml
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aer, r-cran-mass, r-cran-matrix, r-cran-nnls, r-cran-quadprog, r-cran-glmnet, r-cran-ranger, r-cran-xgboost
Suggests: r-cran-sandwich, r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ddml_0.3.0-1.ca2004.1_all.deb
Size: 224056
MD5sum: 10356c46ddc0b899327470e1db470942
SHA1: b69ba5a992374910eff4354c7220e56097780991
SHA256: 4c01c77fbd7d81be2b57b09c8661780df397759df1239f2e5b06280dff46d0a7
SHA512: c43a2161af3928443a14e095abf0c7d6a25a76c959fbfd8093802032117b04718173f444bd55ae7b6ec790fb326e7144e0cdd0ae27435ac92f13ddab8d226bdb
Homepage: https://cran.r-project.org/package=ddml
Description: CRAN Package 'ddml' (Double/Debiased Machine Learning)
 Estimate common causal parameters using double/debiased machine learning as
 proposed by Chernozhukov et al. (2018) <doi:10.1111/ectj.12097>.  'ddml'
 simplifies estimation based on (short-)stacking as discussed in Ahrens et
 al. (2024) <doi:10.1177/1536867X241233641>, which leverages multiple base
 learners to increase robustness to the underlying data generating process.

Package: r-cran-ddoutlier
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbscan, r-cran-proxy, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-ddoutlier_0.1.0-1.ca2004.1_all.deb
Size: 82852
MD5sum: 71a98367450ba78e5144737feb6a2f89
SHA1: e8db0b7436dc1da3a33c3dd2bba6d11e8257b399
SHA256: 4e3a7a1b73f4eda6fa76e9eec0f9cfed6685d98a99e03969e305a8decbba7c2f
SHA512: 924f31353ca032201b5cd9ef922015f028e4c458716379096820b1d34f7bf2389754fe6facaff02a747c32274d9a57f544f00411cb3c2ef795eb5acaf9574d13
Homepage: https://cran.r-project.org/package=DDoutlier
Description: CRAN Package 'DDoutlier' (Distance & Density-Based Outlier Detection)
 Outlier detection in multidimensional domains. Implementation of notable
 distance and density-based outlier algorithms. Allows users to identify
 local outliers by comparing observations to their nearest neighbors, reverse
 nearest neighbors, shared neighbors or natural neighbors. For distance-based
 approaches, see Knorr, M., & Ng, R. T. (1997) <doi:10.1145/782010.782021>,
 Angiulli, F., & Pizzuti, C. (2002) <doi:10.1007/3-540-45681-3_2>, Hautamaki,
 V., & Ismo, K. (2004) <doi:10.1109/ICPR.2004.1334558> and Zhang, K., Hutter,
 M. & Jin, H. (2009) <doi:10.1007/978-3-642-01307-2_84>. For density-based
 approaches, see Tang, J., Chen, Z., Fu, A. W. C., & Cheung, D. W. (2002)
 <doi:10.1007/3-540-47887-6_53>, Jin, W., Tung, A. K. H., Han, J., & Wang, W.
 (2006) <doi:10.1007/11731139_68>, Schubert, E., Zimek, A. & Kriegel, H-P.
 (2014) <doi:10.1137/1.9781611973440.63>, Latecki, L., Lazarevic, A. &
 Prokrajac, D. (2007) <doi:10.1007/978-3-540-73499-4_6>, Papadimitriou, S.,
 Gibbons, P. B., & Faloutsos, C. (2003) <doi:10.1109/ICDE.2003.1260802>,
 Breunig, M. M., Kriegel, H.-P., Ng, R. T., & Sander, J. (2000)
 <doi:10.1145/342009.335388>, Kriegel, H.-P., Kröger, P., Schubert, E., &
 Zimek, A. (2009) <doi:10.1145/1645953.1646195>, Zhu, Q., Feng, Ji. & Huang,
 J. (2016) <doi:10.1016/j.patrec.2016.05.007>, Huang, J., Zhu, Q., Yang, L. &
 Feng, J. (2015) <doi:10.1016/j.knosys.2015.10.014>, Tang, B. & Haibo, He.
 (2017) <doi:10.1016/j.neucom.2017.02.039> and Gao, J., Hu, W., Zhang, X. &
 Wu, Ou. (2011) <doi:10.1007/978-3-642-20847-8_23>.

Package: r-cran-ddp
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ddp_0.0.3-1.ca2004.1_all.deb
Size: 47428
MD5sum: 02f96a289e349637b2f92a4b64851ab6
SHA1: 8fa04ad4d2c49345736232f58963f4949e28ca49
SHA256: 8a2fb4323630c4637816bf50e6e7a479aeba75edef9c10600e051ec96cd7382a
SHA512: adb5d9047f55fb73c6882232bacbf4289c3fd14a62ac7998d340e6b6bfa36ffc2eba3c9d5dd932c79764373276b061acc6b80e08906c725c36ad532468f49614
Homepage: https://cran.r-project.org/package=ddp
Description: CRAN Package 'ddp' (Desirable Dietary Pattern)
 The desirable Dietary Pattern (DDP)/ PPH score measures the variety of food
 consumption. The (weighted) score is calculated based on the type of food.
 This package is intended to calculate the DDP/ PPH score that is faster than
 traditional method via a manual calculation by BKP (2017)
 <http://bkp.pertanian.go.id/storage/app/uploads/public/5bf/ca9/06b/5bfca906bc654274163456.pdf>
 and is simpler than the nutrition survey <http://www.nutrisurvey.de>. The
 database to create weights and baseline values is the Indonesia national
 survey in 2017.

Package: r-cran-ddpca
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rspectra, r-cran-matrix, r-cran-quantreg, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ddpca_1.1-1.ca2004.1_all.deb
Size: 48512
MD5sum: 23928e440a364f7db19cf3c3077b5b40
SHA1: d260fe9a58655877be664151d0474d831a6b6442
SHA256: 95aea40b80fc4cf9f406b0a6128d9cb644b80f64393224fb7c74a21caff4ce66
SHA512: ec4738a169e041d753741a9277b440bcc5f8ffe4ee53ae8f6cd4782e38571fb14ffd8245794872761eb800dc8b23352cc880646443cbcf8a796cece12baabfd4
Homepage: https://cran.r-project.org/package=ddpca
Description: CRAN Package 'ddpca' (Diagonally Dominant Principal Component Analysis)
 Efficient procedures for fitting the DD-PCA (Ke et al., 2019,
 <arXiv:1906.00051>) by decomposing a large covariance matrix into a low-rank
 matrix plus a diagonally dominant matrix. The implementation of DD-PCA
 includes the convex approach using the Alternating Direction Method of
 Multipliers (ADMM) and the non-convex approach using the iterative
 projection algorithm. Applications of DD-PCA to large covariance matrix
 estimation and global multiple testing are also included in this package.

Package: r-cran-ddpcr
Architecture: all
Version: 1.15.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4873
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dt, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval, r-cran-magrittr, r-cran-mixtools, r-cran-plyr, r-cran-readr, r-cran-shiny, r-cran-shinydisconnect, r-cran-shinyjs, r-cran-tibble
Suggests: r-cran-ggextra, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ddpcr_1.15.2-1.ca2004.1_all.deb
Size: 2921672
MD5sum: 69c6602421e25a3377600955d741e628
SHA1: de89b43f1a0e36ff531f78a7f1d6ba31aaad035b
SHA256: 7d35650edd3b3789b4732f5ee8e36f60b95d10d6620dfcb3504803da4af1fa44
SHA512: 850a9518bde3d08f2f843457cc531e22ed7cbee3101967067c0af408fb04af3705c7915fd09f721dd73d25db1297aef6b2b2279746a7cea646762d746bf506d9
Homepage: https://cran.r-project.org/package=ddpcr
Description: CRAN Package 'ddpcr' (Analysis and Visualization of Droplet Digital PCR in R and onthe Web)
 An interface to explore, analyze, and visualize droplet digital PCR (ddPCR)
 data in R. This is the first non-proprietary software for analyzing
 two-channel ddPCR data. An interactive tool was also created and is
 available online to facilitate this analysis for anyone who is not
 comfortable with using R.

Package: r-cran-ddplot
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r2d3
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-zoo, r-cran-gapminder
Filename: pool/dists/focal/main/r-cran-ddplot_0.0.2-1.ca2004.1_all.deb
Size: 426300
MD5sum: 2f7d82cc3b96b4f22df0620bf1518321
SHA1: b521b3b1ec2ac0b14ad74f215ced8ec6b32c243c
SHA256: 7ecce10dbc6850214dcf7ab08372bf29fbd0ffde450312b35d50789b1fe77210
SHA512: 91e99dddb92b3ee8b5c4abdd90e229201b7b2ebd273aebbfbc32d7d806cdf92ca7561b1ffda6a4c67db9423798e2c2e0a5bbf85f6aefa005c628d5343f916791
Homepage: https://cran.r-project.org/package=ddplot
Description: CRAN Package 'ddplot' (Create D3 Based SVG Graphics)
 Create 'D3' based 'SVG' ('Scalable Vector Graphics') graphics using a simple
 'R' API.  The package aims to simplify the creation of many 'SVG' plot types
 using a straightforward 'R' API.  The package relies on the 'r2d3' 'R'
 package and the 'D3' 'JavaScript' library.  See
 <https://rstudio.github.io/r2d3/> and <https://d3js.org/> respectively.

Package: r-cran-ddpm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ddpm_0.1.0-1.ca2004.1_all.deb
Size: 180764
MD5sum: ad5ceced2ef71206350ec7dd012c331b
SHA1: 49bdf5b1e7cf976798a5a3c3897530f1ad345572
SHA256: c1f3a2803bbc169a0eb1ed42b8cb2b4943963c6eddfd1fc446858c7037a2edd5
SHA512: da13a0e0cbe7d96bb007a6a7e88e27b80879a1ac43965c4b7604ab16f7c6e6abb6f49c4c31550172558479b2d9c1acdbf10386619577264c4172fcefd32e45f9
Homepage: https://cran.r-project.org/package=DDPM
Description: CRAN Package 'DDPM' (Data Sets for Discrete Probability Models)
 A wide collection of univariate discrete data sets from various applied
 domains related to distribution theory. The functions allow quick, easy, and
 efficient access to 100 univariate discrete data sets. The data are related
 to different applied domains, including medical, reliability analysis,
 engineering, manufacturing, occupational safety, geological sciences,
 terrorism, psychology, agriculture, environmental sciences, road traffic
 accidents, demography, actuarial science, law, and justice. The
 documentation, along with associated references for further details and
 uses, is presented.

Package: r-cran-ddpna
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2542
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggalt, r-cran-megena, r-cran-igraph, r-cran-hmisc, r-cran-plyr, r-cran-scales, r-cran-venndiagram
Suggests: r-cran-wgcna, r-bioc-biostrings, r-bioc-impute, r-cran-ggfortify
Filename: pool/dists/focal/main/r-cran-ddpna_0.3.3-1.ca2004.1_all.deb
Size: 2521368
MD5sum: 3349f4006f20d292f65ece2bd77df83b
SHA1: 2307163950ba93c09eb6d9e640b5cf8aae6ebbd1
SHA256: a6de2ac8ec40dce37ba329599e3a4f2b9f80fec70b6ebd7567e3b65b379aad65
SHA512: f4775ba03a38ff9c5f1ae4ad30291a795bfaf6896134577b7cab6d8e55cbff33a0493716dba986668127d43d5a75d45ca1e80d616d88c02061df584e6b3e3642
Homepage: https://cran.r-project.org/package=DDPNA
Description: CRAN Package 'DDPNA' (Disease-Drived Differential Proteins Co-Expression NetworkAnalysis)
 Functions designed to connect disease-related differential proteins and
 co-expression network. It provides the basic statics analysis included t
 test, ANOVA analysis.  The network construction is not offered by the
 package, you can used 'WGCNA' package which you can learn in Peter et al.
 (2008) <doi:10.1186/1471-2105-9-559>. It also provides module analysis
 included PCA analysis, two enrichment analysis, Planner maximally filtered
 graph extraction and hub analysis.

Package: r-cran-ddpstar
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-moments, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ddpstar_1.0-1-1.ca2004.1_all.deb
Size: 211180
MD5sum: e826715d92961712155d81bacaa6014f
SHA1: ec40ecfcca619f14d06e28a50c6faff73512dda1
SHA256: 62359df591642d6da797dd69f26eabcf8e8bf5ebf90d12e458973cd56353dd6a
SHA512: bc6f962e72bcabf55836335fbcf9bb38cced491f83629569b5a4fda0f330b16df5d4f4feb4e2935c5b4940a6ad82a8de50bfba2d98da55aca15119e35bd9d0e2
Homepage: https://cran.r-project.org/package=DDPstar
Description: CRAN Package 'DDPstar' (Density Regression via Dirichlet Process Mixtures of NormalStructured Additive Regression Models)
 Implements a flexible, versatile, and computationally tractable model for
 density regression based on a single-weights dependent Dirichlet process
 mixture of normal distributions model for univariate continuous responses.
 The model assumes an additive structure for the mean of each mixture
 component and the effects of continuous covariates are captured through
 smooth nonlinear functions. The key components of our modelling approach are
 penalised B-splines and their bivariate tensor product extension. The
 proposed method can also easily deal with parametric effects of categorical
 covariates, linear effects of continuous covariates, interactions between
 categorical and/or continuous covariates, varying coefficient terms, and
 random effects. Please see Rodriguez-Alvarez, Inacio et al. (2025) for more
 details.

Package: r-cran-ddst
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orthopolynom, r-cran-evd
Filename: pool/dists/focal/main/r-cran-ddst_1.4-1.ca2004.1_all.deb
Size: 167944
MD5sum: f6314594353457bf490640017704651a
SHA1: 7466cf9b5f59c049324eb7a679019fb49c3424ee
SHA256: a4b891d13913dda6c8a7b24078e5ba55c6f68f2026aa162c99395ca0bc7c9588
SHA512: 2b474653f93a9fb3cc748b588599435896c8e40373fafe1589661e8c35b7840455430e2f0c9ddc44ddefe60dc3db1fc81ecbb54ab48a762efb478f120586c9f1
Homepage: https://cran.r-project.org/package=ddst
Description: CRAN Package 'ddst' (Data Driven Smooth Tests)
 Smooth testing of goodness of fit. These tests are data driven (alternative
 hypothesis is dynamically selected based on data). In this package you will
 find various tests for exponent, Gaussian, Gumbel and uniform distribution.

Package: r-cran-ddtlcm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5190
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-data.table, r-cran-extradistr, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggtext, r-bioc-ggtree, r-cran-label.switching, r-cran-matrixstats, r-cran-phylobase, r-cran-polca, r-cran-testthat, r-cran-truncnorm, r-cran-bayeslogit, r-cran-matrix, r-cran-rdpack, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-ddtlcm_0.2.1-1.ca2004.1_all.deb
Size: 4983484
MD5sum: 5575ac0ab47aa9694a37248924242e8e
SHA1: 734af7301e5c736de2059e840cb7daaf05e2f92d
SHA256: b506934ce552bbfdc3bc9f025e455b2c6894ee0464aa2298663fed68477fbec6
SHA512: fc9a7d8bba8febe480dcd32fd2002acfccc17b52e4625bd9d3f47cb002098d9fe4fd585f11286afd3a63be0a1c82a19348161f16dae23f2975d17e75db0927b2
Homepage: https://cran.r-project.org/package=ddtlcm
Description: CRAN Package 'ddtlcm' (Latent Class Analysis with Dirichlet Diffusion Tree ProcessPrior)
 Implements a Bayesian algorithm for overcoming weak separation in Bayesian
 latent class analysis.  Reference: Li et al. (2023) <arXiv:2306.04700>.

Package: r-cran-deadband
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ttr
Filename: pool/dists/focal/main/r-cran-deadband_0.1.0-1.ca2004.1_all.deb
Size: 645860
MD5sum: 86777b218720fcc06af098a160b70705
SHA1: 9d73eb35527c7e9ada8c682c4bc7b4b4f9f62506
SHA256: 79e357608b931e7c196e5787e0ef390d0556d8908dd6e110a2b11394ef8dcb68
SHA512: fe428dadf899b235c74317afb16e893505e878389eca4074a29fbcec9e5f2c7d46ed00d6bb99c681e241a9a0efbc0d69af402a4038036f9d51b0f7a456207a23
Homepage: https://cran.r-project.org/package=deadband
Description: CRAN Package 'deadband' (Statistical Deadband Algorithms Comparison)
 Statistical deadband algorithms are based on the Send-On-Delta concept as in
 Miskowicz(2006,<doi:10.3390/s6010049>). A collection of functions compare
 effectiveness and fidelity of sampled signals using statistical deadband
 algorithms.

Package: r-cran-deamer
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-deamer_1.0-1.ca2004.1_all.deb
Size: 73420
MD5sum: 319e168fca305198f5c802196b19327d
SHA1: ffcdd8ca01391ea30ca8b89023cca227168faaa6
SHA256: 7d9475fddcf521009c6138b88e5cc04ec14f2ff94d9e2fbc99875a05c49d88f1
SHA512: 5f49bfc1399f3e2e6fde1f81da8ca00469c48296cabbb2ae49237cd7cb1be27e7a96858e5cac394673e3d3d0d3be86e5441307146a1ecbafb3f4ef5f71f07f41
Homepage: https://cran.r-project.org/package=deamer
Description: CRAN Package 'deamer' (Deconvolution density estimation with adaptive methods for avariable prone to measurement error)
 deamer provides deconvolution algorithms for the non-parametric estimation
 of the density f of an error-prone variable x with additive noise e. The
 model is y = x + e where the noisy variable y is observed, while x is
 unobserved.  Estimation may be performed for i) a known density of the error
 ii) with an auxiliary sample of pure noise and iii) with an auxiliary sample
 of replicate (repeated) measurements.  Estimation is performed using
 adaptive model selection and penalized contrasts.

Package: r-cran-dear
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lpsolve, r-cran-ggplot2, r-cran-tidyr, r-cran-plotly, r-cran-igraph, r-cran-writexl, r-cran-dplyr, r-cran-gridextra, r-cran-optisolve
Filename: pool/dists/focal/main/r-cran-dear_1.5-1.ca2004.1_all.deb
Size: 760000
MD5sum: 266250a112df37133aeafc483f866d5d
SHA1: f65f37cdab4e2c7b6079072e6261351221a756cd
SHA256: 889be47641160e152fa16bce00483a4a32ad3dd2e134e5a3ccbb4874d204f8cb
SHA512: 142e460f58482eee7ee1ff45865427f4f96ccfcac4a96ad867539457724671002f9266985738242590d3e449e840f232f6e2c3556826d52e46b2a81d0574068e
Homepage: https://cran.r-project.org/package=deaR
Description: CRAN Package 'deaR' (Conventional and Fuzzy Data Envelopment Analysis)
 Set of functions for Data Envelopment Analysis. It runs both classic and
 fuzzy DEA models. See: Banker, R.; Charnes, A.; Cooper, W.W. (1984).
 <doi:10.1287/mnsc.30.9.1078>, Charnes, A.; Cooper, W.W.; Rhodes, E. (1978).
 <doi:10.1016/0377-2217(78)90138-8> and Charnes, A.; Cooper, W.W.; Rhodes, E.
 (1981). <doi:10.1287/mnsc.27.6.668>.

Package: r-cran-debar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 885
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-aphid, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-debar_0.1.1-1.ca2004.1_all.deb
Size: 291980
MD5sum: 4a310671e82ce8a06a9ab61f8315154b
SHA1: ac226b4afa68cf797c63327c366632cdc060a48d
SHA256: 4f1451696a03d66c24dbae6a7f563a9fbc7b290ed9fa1e45280e91b0d13355c7
SHA512: 3268cbb9679c18eb5c4a91528466b33465f2bfa993e667150a873da008300b3bb05cf3b08ec3c438c2c8e108807078fc7668cac249fbae01a2bec5ecabac8e1c
Homepage: https://cran.r-project.org/package=debar
Description: CRAN Package 'debar' (A Post-Clustering Denoiser for COI-5P Barcode Data)
 The 'debar' sequence processing pipeline is designed for denoising high
 throughput sequencing data for the animal DNA barcode marker cytochrome c
 oxidase I (COI). The package is designed to detect and correct insertion and
 deletion errors within sequencer outputs.  This is accomplished through
 comparison of input sequences against a profile hidden Markov model (PHMM)
 using the Viterbi algorithm (for algorithm details see Durbin et al. 1998,
 ISBN: 9780521629713). Inserted base pairs are removed and deleted base pairs
 are accounted for through the introduction of a placeholder character. Since
 the PHMM is a probabilistic representation of the COI barcode, corrections
 are not always perfect. For this reason 'debar' censors base pairs adjacent
 to reported indel sites, turning them into placeholder characters (default
 is 7 base pairs in either direction, this feature can be disabled).  Testing
 has shown that this censorship results in the correct sequence length being
 restored, and erroneous base pairs being masked the vast majority of the
 time (>95%).

Package: r-cran-debbi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doparallel, r-cran-randtoolbox, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-debbi_0.1.0-1.ca2004.1_all.deb
Size: 281828
MD5sum: 7e1b114499d108b6535bfa258832f5ff
SHA1: 71e673a7a755847409c0a32ebc7ce9f65715ea87
SHA256: 377c07844c03defee8b81620e1df777faceed7c3072850d45050d97996f1c69b
SHA512: 5c96c82c76ab2cef6e0e2d93a35c285ec1488dc35577ecc199403517269d4649e741c0dfa4df07cc487ea3068ec535ffd693c43ff84658cd7e16cb2284cc8529
Homepage: https://cran.r-project.org/package=DEBBI
Description: CRAN Package 'DEBBI' (Differential Evolution-Based Bayesian Inference)
 Bayesian inference algorithms based on the population-based "differential
 evolution" (DE) algorithm. Users can obtain posterior mode (MAP) estimates
 via DEMAP, posterior samples via DEMCMC, and variational approximations via
 DEVI.

Package: r-cran-debest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-flexsurv
Filename: pool/dists/focal/main/r-cran-debest_0.1.0-1.ca2004.1_all.deb
Size: 35592
MD5sum: 758b65cc556fd77216caa8583d423be5
SHA1: cf111352740c3b2653d4b16029083299a197ce99
SHA256: bb22d10e8c8dd17b0b4600e95642c782adbd3e37b9c3d8c707d8be2c3e1d0074
SHA512: c147a89781a5ecead03061e8f41b378eb2de98dc6595ce1437020b8b6caef13449aad9a480e16c5996e2596d2f9871b6d6a8738fca118c6ff693d7440de57d89
Homepage: https://cran.r-project.org/package=debest
Description: CRAN Package 'debest' (Duration Estimation for Biomarker Enrichment Studies and Trials)
 A general framework using mixture Weibull distributions to accurately
 predict biomarker-guided trial duration accounting for heterogeneous
 population. Extensive simulations are performed to evaluate the impact of
 heterogeneous population and the dynamics of biomarker characteristics and
 disease on the study duration. Several influential parameters including
 median survival time, enrollment rate, biomarker prevalence and effect size
 are identified. Efficiency gains of biomarker-guided trials can be
 quantitatively compared to the traditional all-comers design. For reference,
 see Zhang et al. (2024) <arXiv:2401.00540>.

Package: r-cran-debiasedtrialemulation
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2184
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-cobalt, r-cran-matchit, r-cran-geex, r-cran-glmnet, r-cran-survival, r-cran-ggplot2, r-cran-parallellogger, r-cran-empiricalcalibration, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-debiasedtrialemulation_0.1.0-1.ca2004.1_all.deb
Size: 2197668
MD5sum: db4cc5dca8202d0d1e2fcd0e86b89155
SHA1: 8d1614b25dd9ffbc14bb2833bd8be89ce7652f4a
SHA256: e7927f6c9ec4476e8da8415c02733dcfe8bcee0a60ef06371f0b7c52c7177d7c
SHA512: c1787c18b49882304fa08cbea42ff8a5e786454f064d94eb7cb57b0b89fc3a7a649fd89117428b1c459ff73cfde713fe7b0eeb6920626fcbb39cb559e7f194b9
Homepage: https://cran.r-project.org/package=debiasedTrialEmulation
Description: CRAN Package 'debiasedTrialEmulation' (Pipeline for Debiased Target Trial Emulation)
 Supports propensity score-based methods—including matching, stratification,
 and weighting—for estimating causal treatment effects. It also implements
 calibration using negative control outcomes to enhance robustness.
 'debiasedTrialEmulation' facilitates effect estimation for both binary and
 time-to-event outcomes, supporting risk ratio (RR), odds ratio (OR), and
 hazard ratio (HR) as effect measures. It integrates statistical modeling and
 visualization tools to assess covariate balance, equipoise, and bias
 calibration. Additional methods—including approaches to address immortal
 time bias, information bias, selection bias, and informative censoring—are
 under development. Users interested in these extended features are
 encouraged to contact the package authors.

Package: r-cran-debiasinfer
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cvxr, r-cran-caret
Suggests: r-cran-mass, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-debiasinfer_0.2-1.ca2004.1_all.deb
Size: 35328
MD5sum: 7e630c33a1e11fd53c0635f08cbd08b0
SHA1: 675ae776b435e34119a048947a5ff946b9900f26
SHA256: aaab5152995c165dd90300135fda86c6839da8c21735dcceb2edd190e4eb78f2
SHA512: e2245c75572acfe2992899dde46cf221c5af8f7f7cef962774baac9fc5f4ccf70fd4507bfccaa928cd8ac20c73edfb02f19f9f8bbb23924d8cda7579d8c9cc02
Homepage: https://cran.r-project.org/package=DebiasInfer
Description: CRAN Package 'DebiasInfer' (Efficient Inference on High-Dimensional Linear Model withMissing Outcomes)
 A statistically and computationally efficient debiasing method for
 conducting valid inference on the high-dimensional linear regression
 function with missing outcomes.  The reference paper is Zhang, Giessing, and
 Chen (2023) <arXiv:2309.06429>.

Package: r-cran-debinfer
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1442
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-desolve, r-cran-truncdist, r-cran-coda, r-cran-rcolorbrewer, r-cran-mass, r-cran-mvtnorm, r-cran-plyr, r-cran-pbsddesolve
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-r.rsp, r-cran-beanplot
Filename: pool/dists/focal/main/r-cran-debinfer_0.4.4-1.ca2004.1_all.deb
Size: 1239500
MD5sum: b87d6d76109f899ec1c9a2801798db30
SHA1: 389e5a7ce37a6188a2c03ab299833acc8a4bae8f
SHA256: 19f38290a4b35f6d87f2d6ad12a0393a2d48c769618729dde16c489acbd18f4c
SHA512: 2fcab2341fc0ed71fb96a6e1effa1ff299ac0f8a0235471f0ecc911e35782223142bfc41951b9c79ef1940283faaee2180ed010b8aab79880280a3ec14a2d621
Homepage: https://cran.r-project.org/package=deBInfer
Description: CRAN Package 'deBInfer' (Bayesian Inference for Differential Equations)
 A Bayesian framework for parameter inference in differential equations.
 This approach offers a rigorous methodology for parameter inference as well
 as modeling the link between unobservable model states and parameters, and
 observable quantities. Provides templates for the DE model, the observation
 model and data likelihood, and the model parameters and their prior
 distributions. A Markov chain Monte Carlo (MCMC) procedure processes these
 inputs to estimate the posterior distributions of the parameters and any
 derived quantities, including the model trajectories. Further functionality
 is provided to facilitate MCMC diagnostics and the visualisation of the
 posterior distributions of model parameters and trajectories.

Package: r-cran-debkeepr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1478
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-zeallot
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-debkeepr_0.1.1-1.ca2004.1_all.deb
Size: 908044
MD5sum: 26b4e8dc37643bf0acdbe08135f14f0c
SHA1: 5bc61e7ad24dfbe06d7179a61dde965c1f3ddafb
SHA256: 36f22aa6dd0a6610ef954dbd34801af75f341ae59d3d9db38e231efc08eab608
SHA512: 1bfa4d2badb028538678119423218c787530e0437f80b03afba2dd70dc460152ee1bb533bce00e63cd3ee8e03f2f0d02b35302c029e4c622ef1591d7d4b4bbc8
Homepage: https://cran.r-project.org/package=debkeepr
Description: CRAN Package 'debkeepr' (Analysis of Non-Decimal Currencies and Double-Entry Bookkeeping)
 Analysis of historical non-decimal currencies and value systems that use
 tripartite or tetrapartite systems such as pounds, shillings, and pence. It
 introduces new vector classes to represent non-decimal currencies, making
 them compatible with numeric classes, and provides functions to work with
 these classes in data frames in the context of double-entry bookkeeping.

Package: r-cran-deboinr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kernsmooth, r-cran-ggplot2, r-cran-gridextra, r-cran-pracma, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-deboinr_1.0-1.ca2004.1_all.deb
Size: 601580
MD5sum: e027eff7837d7424c80e58ff07b18c1a
SHA1: 891b50d16cb8b5a307130baec63c3e40e2ee6363
SHA256: 65d6b18b1e88649760eefe59e89631de1bfc7f3d50ee91a374c06b867da99fbe
SHA512: b952857d661dd9874e253e26cfc7c271d5021fe9cd18b0ebda04d5a935fdf92e17232e8f2e21ea5fcbc1b20ee946a164a5bdc20458328e469da87a1c48d2fc9c
Homepage: https://cran.r-project.org/package=DeBoinR
Description: CRAN Package 'DeBoinR' (Box-Plots and Outlier Detection for Probability DensityFunctions)
 Orders a data-set consisting of an ensemble of probability density functions
 on the same x-grid.  Visualizes a box-plot of these functions based on the
 notion of distance determined by the user.  Reports outliers based on the
 distance chosen and the scaling factor for an interquartile range rule.  For
 further details, see: Alexander C. Murph et al. (2023). "Visualization and
 Outlier Detection for Probability Density Function Ensembles."
 <https://sirmurphalot.github.io/publications>.

Package: r-cran-debugme
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon
Suggests: r-cran-covr, r-cran-mockery, r-cran-r6, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-debugme_1.2.0-1.ca2004.1_all.deb
Size: 42544
MD5sum: 3d19ac33873977f3b3f17ca2bed47c2b
SHA1: fff9d312616ec9b2b08622ade9e3796242ef3ab5
SHA256: 337d93ab23e27411bcd5735bddef25f881dec55f047815db477e9ddf44ae5e85
SHA512: 7a04de3b9871ed3ac89a017f499e5c576ffe7062fb36dd11c8b4020a23cfe449e1df7e35fa2ecd8f20ad841f266f9927488ea599f44bf25cede6bbfef6f955ef
Homepage: https://cran.r-project.org/package=debugme
Description: CRAN Package 'debugme' (Debug R Packages)
 Specify debug messages as special string constants, and control debugging of
 packages via environment variables.

Package: r-cran-debugr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rprojroot, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-debugr_0.0.1-1.ca2004.1_all.deb
Size: 33976
MD5sum: 80cf51583202eba5ad926ad823c7ecdc
SHA1: 8b2cd2480ab56cc4d2195838e7c7c7479d634f5f
SHA256: 06406a7aede3245d9b391701b4c4901c1fc1d2dc02cd43e7fb7cb95fb599b08d
SHA512: 341bb996b7c8f9c9251ef7f8203fb31ea7b4ee2dcfb74f2938b73847b6b51bdbd579c64576c01ed1206da7b59327b3b9ab4c51d72bee31fa7188cccb5a8463f8
Homepage: https://cran.r-project.org/package=debugr
Description: CRAN Package 'debugr' (Debug Tool to Watch Objects/Expressions While Running an RScript)
 Tool to print out the value of R objects/expressions while running an R
 script. Outputs can be made dependent on user-defined conditions/criteria.
 Debug messages only appear when a global option for debugging is set.  This
 way, 'debugr' code can even remain in the debugged code for later use
 without any negative effects during normal runtime.

Package: r-cran-decide
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-decide_1.3-1.ca2004.1_all.deb
Size: 64140
MD5sum: 827a83774641810bbaff7f25639b519d
SHA1: 886c01eabb808a2d6e3b6865ed7a48ab6663d9b0
SHA256: c9ef94bce3a4e498ff1c4b9e500393b446d04ea7813ce62970fcd29fa0b81f65
SHA512: ee79aa95f83a595efe0f968874bf5882404363f99f348a4247c82d52437fbe88e452d7ea1a950ffd11660acc9050c21be3ee84ce597a5ef47d0efde237487237
Homepage: https://cran.r-project.org/package=DECIDE
Description: CRAN Package 'DECIDE' (DEComposition of Indirect and Direct Effects)
 Calculates various estimates for measures of educational differentials, the
 relative importance of primary and secondary effects in the creation of such
 differentials and compares the estimates obtained from two datasets.

Package: r-cran-decision
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-decision_0.1.0-1.ca2004.1_all.deb
Size: 13520
MD5sum: 96bb646b62236878c4878694803599c9
SHA1: 76823007d0431c3b251edb92eeba58ffe40fbdf8
SHA256: 75ef9506d2f3c77bf78c1b690c2a10ffa4a7489b162bd97609a8f5941e3c0b58
SHA512: 71e926e9e88a09f5242a7a695603f06ce298651b0183b41752ff6a9e9cb733369a5d4e43674ba7c3724ed9f39c7a01cc277decef0f652f81d147ef6a0f77978d
Homepage: https://cran.r-project.org/package=decision
Description: CRAN Package 'decision' (Statistical Decision Analysis)
 Contains a function called dmur() which accepts four parameters like
 possible values, probabilities of the values, selling cost and preparation
 cost. The dmur() function generates various numeric decision parameters like
 MEMV (Maximum (optimum) expected monitory value), best choice, EPPI
 (Expected profit with perfect information), EVPI (Expected value of the
 perfect information), EOL (Expected opportunity loss), which facilitate
 effective decision-making.

Package: r-cran-decisionsupport
Architecture: all
Version: 1.114-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2015
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-chillr, r-cran-class, r-cran-dplyr, r-cran-fancova, r-cran-ggplot2, r-cran-magrittr, r-cran-msm, r-cran-mvtnorm, r-cran-nleqslv, r-cran-patchwork, r-cran-rriskdistributions, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-eha, r-cran-knitr, r-cran-mc2d, r-cran-pls, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-decisionsupport_1.114-1.ca2004.1_all.deb
Size: 1412252
MD5sum: 7cf6c321dbad83857aa0ad8d23b67056
SHA1: f33ff26cc44a91522c67e372f69526e4ed3a7c50
SHA256: 4b6564b5995a1de60eeab0882938db38b107c8daea9732670da79a1ed9b5abe2
SHA512: 89b051f070d225a152b065e2ba10d6848084b8cc6bd11ecc89e61b127372d8145db447b4092246854403fea0baa3f69624564a54e2b31be34716d8c815e5e37e
Homepage: https://cran.r-project.org/package=decisionSupport
Description: CRAN Package 'decisionSupport' (Quantitative Support of Decision Making under Uncertainty)
 Supporting the quantitative analysis of binary welfare based decision making
 processes using Monte Carlo simulations. Decision support is given on two
 levels: (i) The actual decision level is to choose between two alternatives
 under probabilistic uncertainty. This package calculates the optimal
 decision based on maximizing expected welfare. (ii) The meta decision level
 is to allocate resources to reduce the uncertainty in the underlying
 decision problem, i.e to increase the current information to improve the
 actual decision making process. This problem is dealt with using the Value
 of Information Analysis. The Expected Value of Information for arbitrary
 prospective estimates can be calculated as well as Individual Expected Value
 of Perfect Information.  The probabilistic calculations are done via Monte
 Carlo simulations. This Monte Carlo functionality can be used on its own.

Package: r-cran-deckgl
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3431
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-magrittr, r-cran-base64enc, r-cran-yaml, r-cran-jsonlite, r-cran-readr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rprojroot, r-cran-sf, r-cran-scales, r-cran-rcolorbrewer, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-deckgl_0.3.0-1.ca2004.1_all.deb
Size: 1220584
MD5sum: 9c9babd1adfeb68290e02db1b8abfbf1
SHA1: dad4cd818a2e32dad2d8494311fa3ac3fff7cbae
SHA256: 07fa9b51b6281ff3a78ab20a87c1791dcdae7815f03d280032e7bccf90c898d9
SHA512: 9d7b959c6fe4602233260afa69abd2f5b74f74e86ae221102b2fc02e0cbc11ca88dfacdcbd1946ef0a0f5fc5e2cf30c1fc2aa52c4a45c020505c9154f1184769
Homepage: https://cran.r-project.org/package=deckgl
Description: CRAN Package 'deckgl' (An R Interface to 'deck.gl')
 Makes 'deck.gl' <https://deck.gl/>, a WebGL-powered open-source JavaScript
 framework for visual exploratory data analysis of large datasets, available
 within R via the 'htmlwidgets' package.  Furthermore, it supports basemaps
 from 'mapbox' <https://www.mapbox.com/> via 'mapbox-gl-js'
 <https://github.com/mapbox/mapbox-gl-js>.

Package: r-cran-declaredesign
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-randomizr, r-cran-fabricatr, r-cran-estimatr, r-cran-rlang, r-cran-generics
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-aer, r-cran-diffobj, r-cran-dplyr, r-cran-data.table, r-cran-tibble, r-cran-ggplot2, r-cran-future, r-cran-future.apply, r-cran-broom, r-cran-mass, r-cran-matching, r-cran-betareg, r-cran-biglm, r-cran-gam, r-cran-sf, r-cran-reshape2, r-cran-designlibrary, r-cran-coin, r-cran-marginaleffects, r-cran-psych
Filename: pool/dists/focal/main/r-cran-declaredesign_1.0.10-1.ca2004.1_all.deb
Size: 297872
MD5sum: cc6a74780e164c15cb45f11f54e6b377
SHA1: f84d4122bf7bdfec23a744a7c96b9ac9508674fd
SHA256: 4d8548b7f71c9411e6c6a2716bcdc91de57a2b822b514e29a5a404711048dcc9
SHA512: a09a41a75f7396c4ffe85d616f1a1161c56372eb548cc0351b3ee65a299a31beb3101e08bb35ece796c0ac3ad3e9eb84036a336c37d223904ea7674ff146fb17
Homepage: https://cran.r-project.org/package=DeclareDesign
Description: CRAN Package 'DeclareDesign' (Declare and Diagnose Research Designs)
 Researchers can characterize and learn about the properties of research
 designs before implementation using `DeclareDesign`. Ex ante declaration and
 diagnosis of designs can help researchers clarify the strengths and
 limitations of their designs and to improve their properties, and can help
 readers evaluate a research strategy prior to implementation and without
 access to results. It can also make it easier for designs to be shared,
 replicated, and critiqued.

Package: r-cran-decode
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5074
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-decode_1.2-1.ca2004.1_all.deb
Size: 1486796
MD5sum: 3cb9e5da6e71bf19714b0e42e537b1cc
SHA1: 7ece04ec9e056be5fa3e9212d1b8778dc9598b36
SHA256: a2ed3c0487e5bb37957806d3e8206f68ab5494e733b90c1268df3245a1074dc2
SHA512: e11e337a86002b6ba7a6458bfb7353869c618c7ffb947e4806ff7ba5140a0ab2fa123dc7200115b73a0a26b2593d47d5a83056cea268e4453e06c31ef5a24be9
Homepage: https://cran.r-project.org/package=decode
Description: CRAN Package 'decode' (Differential Co-Expression and Differential Expression Analysis)
 Integrated differential expression (DE) and differential co-expression (DC)
 analysis on gene expression data based on DECODE (DifferEntial CO-expression
 and Differential Expression) algorithm.

Package: r-cran-decoder
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2066
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-dt, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-decoder_1.2.2-1.ca2004.1_all.deb
Size: 1644720
MD5sum: 3140258f2aed8b6b99802b9ef075f065
SHA1: 85392eb17b5003ad1d4f3dca69bb6b6a74e4654b
SHA256: 75d61bd2e2a41558b232a163a87ee833d0cec7c3a66e279812446e9374572e87
SHA512: 424aea852ff81403777fd8c48e1a98ba03309e9f2fff7d1f0112086f227a9257503fff0abf5e39ed460f36abf9c290f8446435647d6fbe238d927b849c4007ba
Homepage: https://cran.r-project.org/package=decoder
Description: CRAN Package 'decoder' (Decode Coded Variables to Plain Text and the Other Way Around)
 Main function "decode" is used to decode coded key values to plain text.
 Function "code" can be used to code plain text to code if there is a 1:1
 relation between the two. The concept relies on 'keyvalue' objects used for
 translation. There are several 'keyvalue' objects included in the areas of
 geographical regional codes, administrative health care unit codes,
 diagnosis codes and more. It is also easy to extend the use by arbitrary
 code sets.

Package: r-cran-decompdl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-reticulate, r-cran-tsutils, r-bioc-biocgenerics, r-cran-magrittr, r-cran-rlibeemd, r-cran-tsdeeplearning, r-cran-vmdecomp
Filename: pool/dists/focal/main/r-cran-decompdl_0.1.0-1.ca2004.1_all.deb
Size: 82356
MD5sum: 3a8fea57019e7088eefde3feeeb10748
SHA1: b3af701fb324e24097924f001e46a4a42190ff46
SHA256: 59132e01a50c22cadd68033a8c8aa5ceeaae8d0ed9e61a8180dd30d97a782c55
SHA512: 04236b585ddbc4f003f195fb0f779238ddf8a6c5eaeebf4f9fffb31ae9a45df28d152838f0329e6c10f259ee2e8a1f81176831244cfc0c81c788b724deb43f90
Homepage: https://cran.r-project.org/package=decompDL
Description: CRAN Package 'decompDL' (Decomposition Based Deep Learning Models for Time SeriesForecasting)
 Hybrid model is the most promising forecasting method by combining
 decomposition and deep learning techniques to improve the accuracy of time
 series forecasting. Each decomposition technique decomposes a time series
 into a set of intrinsic mode functions (IMFs), and the obtained IMFs are
 modelled and forecasted separately using the deep learning models. Finally,
 the forecasts of all IMFs are combined to provide an ensemble output for the
 time series. The prediction ability of the developed models are calculated
 using international monthly price series of maize in terms of evaluation
 criteria like root mean squared error, mean absolute percentage error and,
 mean absolute error. For method details see Choudhary, K. et al. (2023).
 <https://ssca.org.in/media/14_SA44052022_R3_SA_21032023_Girish_Jha_FINAL_Finally.pdf>.

Package: r-cran-decompml
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-nnfor, r-cran-rlibeemd, r-cran-vmdecomp
Filename: pool/dists/focal/main/r-cran-decompml_0.1.1-1.ca2004.1_all.deb
Size: 79084
MD5sum: 9b920c405bce60873f5a3c355e12f2af
SHA1: cf0c68c7174524e4a211ec4abf02722289ea3cae
SHA256: 2b78a1ae4ade171f9198045579d475375358d38bc31aac1e269d2ff679e67469
SHA512: 965773cacad7f9bb91bbce072d96c8d1fbb6826d8de621b6c910583bcac0f8b128bfa069c46c23d8cfc2d848d846a8ab7357f4a79fdbc3679095d7a518208fa6
Homepage: https://cran.r-project.org/package=decompML
Description: CRAN Package 'decompML' (Decomposition Based Machine Learning Model)
 The hybrid model is a highly effective forecasting approach that integrates
 decomposition techniques with machine learning to enhance time series
 prediction accuracy. Each decomposition technique breaks down a time series
 into multiple intrinsic mode functions (IMFs), which are then individually
 modeled and forecasted using machine learning algorithms. The final forecast
 is obtained by aggregating the predictions of all IMFs, producing an
 ensemble output for the time series. The performance of the developed models
 is evaluated using international monthly maize price data, assessed through
 metrics such as root mean squared error (RMSE), mean absolute percentage
 error (MAPE), and mean absolute error (MAE). For method details see
 Choudhary, K. et al. (2023).
 <https://ssca.org.in/media/14_SA44052022_R3_SA_21032023_Girish_Jha_FINAL_Finally.pdf>.

Package: r-cran-decomposedpsf
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psf, r-cran-rlibeemd, r-cran-forecast, r-cran-tseries
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-decomposedpsf_0.2-1.ca2004.1_all.deb
Size: 27956
MD5sum: d81b3f607b98fe0dec0c69e80aa2aeca
SHA1: eef8796bf97335a4c63562ec6fe028d53ad7c1b7
SHA256: a25147680d7b332a0e77f07e3da21876b4a1d3730508a6f10dca31637cf851c4
SHA512: 2b9fbe22671391707b322abe8729902ce60aab89e6ee0701f0927f887420698bdfa73eb38bdfd8dd3f3534242437ddd9dece978008610d8fada82909cfd83ed9
Homepage: https://cran.r-project.org/package=decomposedPSF
Description: CRAN Package 'decomposedPSF' (Time Series Prediction with PSF and Decomposition Methods (EMDand EEMD))
 Predict future values with hybrid combinations of Pattern Sequence based
 Forecasting (PSF), Autoregressive Integrated Moving Average (ARIMA),
 Empirical Mode Decomposition (EMD) and Ensemble Empirical Mode Decomposition
 (EEMD) methods based hybrid methods.

Package: r-cran-decomposer
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 985
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-usethis, r-cran-tictoc, r-cran-stratigrapher, r-cran-hexbin, r-cran-colorramps, r-cran-dplyr
Suggests: r-cran-emd, r-cran-rssa, r-cran-astrochron, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-decomposer_1.0.6-1.ca2004.1_all.deb
Size: 802168
MD5sum: fd4a748b996adaadf107991e411b83f0
SHA1: bbe9b2e6d97cf19f02a1a5d6460c1521908945aa
SHA256: 8a92d14f3ec83983b1d567e34c276bd0f8b0e78d0323c8eb44e433b9a02768d3
SHA512: aa0106439347283aa05a564426b3f80a645158f2580f708da975515f04fce09ef401269f50141f53b76059691bb7ad83de73cd6d6d51b6912736ce2868493fb3
Homepage: https://cran.r-project.org/package=DecomposeR
Description: CRAN Package 'DecomposeR' (Empirical Mode Decomposition for Cyclostratigraphy)
 Tools to apply Ensemble Empirical Mode Decomposition (EEMD) for
 cyclostratigraphy purposes. Mainly: a new algorithm, extricate, that
 performs EEMD in seconds, a linear interpolation algorithm using the
 greatest rational common divisor of depth or time, different algorithms to
 compute instantaneous amplitude, frequency and ratios of frequencies, and
 functions to verify and visualise the outputs.  The functions were developed
 during the CRASH project (Checking the Reproducibility of Astrochronology in
 the Hauterivian). When using for publication please cite Wouters, S.,
 Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C., Zivanovic, M.,
 Boulvain, F., Devleeschouwer, X., 2022, "A decomposition approach to
 cyclostratigraphic signal processing".  Earth-Science Reviews 225 (103894).
 <doi:10.1016/j.earscirev.2021.103894>.

Package: r-cran-deconstructsigs
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-bioc-bsgenome, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-genomeinfodb
Suggests: r-bioc-variantannotation
Filename: pool/dists/focal/main/r-cran-deconstructsigs_1.8.0-1.ca2004.1_all.deb
Size: 268812
MD5sum: a3396e1ea2fdd2bdff6408525c2af695
SHA1: 192598e577e0f7249ceaa9c7a64d887f8a3bd340
SHA256: 3ab9734b786a7db00e48a1cff112c9ea7f8f6dea2af8cc26dab94776e04ac881
SHA512: 6ee980f60dfb2796d73795e8a14e75d93088eb2f9d098c57f7c047c5f38b02aad40b37eb02fafee98382e17dcb3e1681fca82feb1eed0e77a5574adc5fdd203e
Homepage: https://cran.r-project.org/package=deconstructSigs
Description: CRAN Package 'deconstructSigs' (Identifies Signatures Present in a Tumor Sample)
 Takes sample information in the form of the fraction of mutations in each of
 96 trinucleotide contexts and identifies the weighted combination of
 published signatures that, when summed, most closely reconstructs the
 mutational profile.

Package: r-cran-deconvolver
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2888
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-cowplot, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-deconvolver_1.2-1-1.ca2004.1_all.deb
Size: 1655708
MD5sum: cdaf2b34c998708d3c4715bf2aaacc3a
SHA1: ab6e4f8ca1f5abe35146aa859df6d24b178b2ccb
SHA256: c178388eccb29af3e5de00d544bfb99d043be9ec25828c4b4eefd6361740a3b0
SHA512: 982219fc282c53a652740ce0ed51aad8d41c2e125fd1c706a1e01ad0422e44323e7fcf012a71c4c0a577e39d33a036e7f4619bdbbb99a2ae06ee8126b46ce53d
Homepage: https://cran.r-project.org/package=deconvolveR
Description: CRAN Package 'deconvolveR' (Empirical Bayes Estimation Strategies)
 Empirical Bayes methods for learning prior distributions from data.  An
 unknown prior distribution (g) has yielded (unobservable) parameters, each
 of which produces a data point from a parametric exponential family (f). The
 goal is to estimate the unknown prior ("g-modeling") by deconvolution and
 Empirical Bayes methods. Details and examples are in the paper by Narasimhan
 and Efron (2020, <doi:10.18637/jss.v094.i11>).

Package: r-cran-decorater
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rweka, r-cran-rwekajars, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-decorater_0.1.2-1.ca2004.1_all.deb
Size: 24840
MD5sum: 5a9054ba4ec5594d6db48cec5926060c
SHA1: 668210e0d4603610d2dcbc252e89aa549d23de37
SHA256: 6f5dfbb3e5618206bde2db08041d0c6875b66c2f43bb01c0a3c2d50d59746a64
SHA512: 074610217167add725767e92515902c5993ba76eda3bcdd3435d1ef3304aa3ff6abfb261d5ec18672c670ffd07ed534e273ba42a7d10379a3f03312380c66580
Homepage: https://cran.r-project.org/package=DecorateR
Description: CRAN Package 'DecorateR' (Fit and Deploy DECORATE Trees)
 DECORATE (Diverse Ensemble Creation by Oppositional Relabeling of Artificial
 Training Examples) builds an ensemble of J48 trees by recursively adding
 artificial samples of the training data ("Melville, P., & Mooney, R. J.
 (2005) <DOI:10.1016/j.inffus.2004.04.001>").

Package: r-cran-decorators
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-decorators_0.3.0-1.ca2004.1_all.deb
Size: 21740
MD5sum: 2a53b2c38543afd28e5f87837ce50536
SHA1: 7b0e5ce8d9e554b2d70c555c729adad1f85c1af2
SHA256: 5067f087c9365ec6cc9b1c17363fa30fd00a74afd1f94df2c0a55d95d81a32bf
SHA512: 8efcce9bd4c2cb1ad1fb155d0ab036a1a1cf92efb03f15d5338f77513569ac9b30089f79fc8554fec627d57a4bc6b99bc636abde4ed0dc81ae39dc2455d5a39c
Homepage: https://cran.r-project.org/package=decorators
Description: CRAN Package 'decorators' (Extend the Behaviour of a Function without Explicitly Modifyingit)
 A decorator is a function that receives a function, extends its behaviour,
 and returned the altered function. Any caller that uses the decorated
 function uses the same interface as it were the original, undecorated
 function. Decorators serve two primary uses: (1) Enhancing the response of a
 function as it sends data to a second component; (2) Supporting multiple
 optional behaviours. An example of the first use is a timer decorator that
 runs a function, outputs its execution time on the console, and returns the
 original function's result. An example of the second use is input type
 validation decorator that during running time tests whether the caller has
 passed input arguments of a particular class.  Decorators can reduce
 execution time, say by memoization, or reduce bugs by adding defensive
 programming routines.

Package: r-cran-decp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geigen, r-cran-ggplot2, r-cran-magrittr, r-cran-matrixcalc, r-cran-purrr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-decp_0.1.2-1.ca2004.1_all.deb
Size: 56200
MD5sum: deee140ec82bb1b7b596b89eecd1e6e3
SHA1: b11417ae688e1e39420a206fd67a6f54432e3a87
SHA256: c348f1e42f755a9fdb10e98b5c01da9f7beccedf47916961a60e3a825217e204
SHA512: ec93bc06848751aea490aebc7b121af7a42be65e0f6a9dbb123c93b230cf2b41fcd081c81e05a077e480a1d49104f9b46a90e6b2969bdb183740b31d24e772c4
Homepage: https://cran.r-project.org/package=decp
Description: CRAN Package 'decp' (Complete Change Point Analysis)
 Provides a comprehensive approach for identifying and estimating change
 points in multivariate time series through various statistical methods.
 Implements the multiple change point detection methodology from Ryan &
 Killick (2023) <doi:10.1080/00401706.2023.2183261> and a novel estimation
 methodology from Fotopoulos et al. (2023) <doi:10.1007/s00362-023-01495-0>
 generalized to fit the detection methodologies. Performs both detection and
 estimation of change points, providing visualization and summary information
 of the estimation process for each detected change point.

Package: r-cran-deducer
Architecture: all
Version: 0.9-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3858
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-jgr, r-cran-car, r-cran-mass, r-cran-rjava, r-cran-e1071, r-cran-scales, r-cran-plyr, r-cran-foreign, r-cran-multcomp, r-cran-effects
Suggests: r-cran-hmisc, r-cran-brunnermunzel
Filename: pool/dists/focal/main/r-cran-deducer_0.9-0-1.ca2004.1_all.deb
Size: 3209412
MD5sum: e8db9cfc3fdd493089969bc7cbd26c4b
SHA1: e5fcb9d05bbd57eab1e5334aa4558d3ae3a33cde
SHA256: 60e94e996c45f45e906c93b803f7740ec32fef93eb37783d02df4d45338088f2
SHA512: 53b9a66c3be41767c00fa6eb52f73c40fe2cb50700349a3280f3734455abe39db2498b92abb46e7d362bcb3192f969be263d2bfbf6579ded6ced755ce21a313e
Homepage: https://cran.r-project.org/package=Deducer
Description: CRAN Package 'Deducer' (A Data Analysis GUI for R)
 An intuitive, cross-platform graphical data analysis system. It uses menus
 and dialogs to guide the user efficiently through the data manipulation and
 analysis process, and has an excel like spreadsheet for easy data frame
 visualization and editing. Deducer works best when used with the Java based
 R GUI JGR, but the dialogs can be called from the command line. Dialogs have
 also been integrated into the Windows Rgui.

Package: r-cran-deducerpluginexample
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1524
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deducer
Filename: pool/dists/focal/main/r-cran-deducerpluginexample_0.2-0-1.ca2004.1_all.deb
Size: 1151000
MD5sum: e4a4f992fd9e76164777a8eab1eeb91c
SHA1: db51b9fda3b76b2960955ea8098fef4575b0173a
SHA256: 06b5f73cf002714fa37ff08f31b963048122c04d6f66b13c348a707c4a9debef
SHA512: 0484e5d55fdc78768db0449192810cc812fe07c8f70602d95b8a90671bc1202820e34fb98eec87d53a8eec3ad33c2942ce87c5bfb941836acae047c1350edb80
Homepage: https://cran.r-project.org/package=DeducerPlugInExample
Description: CRAN Package 'DeducerPlugInExample' (Deducer Plug-in Example)
 A example GUI plug-in package to serve as a template.

Package: r-cran-deducerpluginscaling
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deducer, r-cran-psych, r-cran-gparotation, r-cran-mvnormtest, r-cran-irr, r-cran-klar
Filename: pool/dists/focal/main/r-cran-deducerpluginscaling_0.1-0-1.ca2004.1_all.deb
Size: 48836
MD5sum: a80c9bb2250a571b9e539774b35ae253
SHA1: 34be4a5a4ab75d2c3cbcffbb12c3d35780f01a85
SHA256: 931478cab93da9ea321d2550026367c0d01fbe0bf0d0e60df2a7521d70b843dd
SHA512: c377d37cc544a1239f7177b7417bc9a83c7289b77b5dbe3b691fad5a540feb7b14f4f257f34e12decabf2e625cb2ae0cd41deef4aeb1efcf8022260052dbe7eb
Homepage: https://cran.r-project.org/package=DeducerPlugInScaling
Description: CRAN Package 'DeducerPlugInScaling' (Reliability and factor analysis plugin)
 A Deducer plug-in for factor analysis, reliability analysis and discriminant
 analysis, using psych, GPArotation and mvnormtest packages.

Package: r-cran-deducersurvival
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deducer
Filename: pool/dists/focal/main/r-cran-deducersurvival_0.1-0-1.ca2004.1_all.deb
Size: 20460
MD5sum: f0ae58227bf7abd05b54095624a5dffd
SHA1: 019b6cab9beaaa0bbe7d32c17d944a4d99f3183e
SHA256: 555accabf45a631ba8721e8385bec26fcec71344053a08675da1630d2e158b06
SHA512: d06a58aa03b554e32211653979bcbc368832ae00822bc1cf9eb313f57da6e2b784c8086517f47dfd737973d433949eb73d0b34e4a1236d81c533ad0c60c033a7
Homepage: https://cran.r-project.org/package=DeducerSurvival
Description: CRAN Package 'DeducerSurvival' (Add Survival Dialogue to Deducer)
 Adds Kaplan-Meier Survival Analysis to the Deducer GUI

Package: r-cran-deducertext
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deducer, r-cran-tm, r-cran-wordcloud, r-cran-rcolorbrewer, r-cran-snowballc
Filename: pool/dists/focal/main/r-cran-deducertext_0.1-2-1.ca2004.1_all.deb
Size: 107152
MD5sum: f042a4a2ff74695aa3c18d8c74ff46d7
SHA1: 4fb3e967685bb4a142812a76e3678108c433d85b
SHA256: 5cefa844726353499006cf597bb4ac1b400cf8d46b3c170cfac57bc975f22310
SHA512: 5e445a055983430f3e318c029709be461d2c54290afe698676b507851a147f07ddbec8ce364389e851a08ac6fc7342286057cc28a23cb62272142a2e7d3f0cf2
Homepage: https://cran.r-project.org/package=DeducerText
Description: CRAN Package 'DeducerText' (Deducer GUI for Text Data)
 A GUI for text mining

Package: r-cran-deducorrect
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1563
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-editrules
Filename: pool/dists/focal/main/r-cran-deducorrect_1.3.7-1.ca2004.1_all.deb
Size: 1443832
MD5sum: 4f35f58f505eb607d8c9733ac7b0427b
SHA1: aad4909126fd9762ea9e5795edbb0d41d37d4bc2
SHA256: 063c3a6f688c2f6c21d3e48889ad1affac8c12b05ae0030cefa5dcd96b879d5d
SHA512: e5951d358babe30975dbb6783e3dff5739463e9ec953020e89d6f701a4448629cfda72297f5773556124fd429ca7e4f1e44a99a5fb5449e289073d4ce91ad35a
Homepage: https://cran.r-project.org/package=deducorrect
Description: CRAN Package 'deducorrect' (Deductive Correction, Deductive Imputation, and DeterministicCorrection)
 A collection of methods for automated data cleaning where all actions are
 logged.

Package: r-cran-deductiver
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-reshape2, r-cran-ggplot2, r-cran-moments, r-cran-ggpubr, r-cran-lmomco
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-deductiver_1.1.0-1.ca2004.1_all.deb
Size: 46552
MD5sum: 6cf42d93ec0fde67a3962d70d07bff6c
SHA1: b0610b92a6ffd71c5afa85ca14b29a81ec7d011f
SHA256: 7fb20c4e23ec8f4b6b764fa77aa2d8a909db72c9736a237d65ebb4592fef82f9
SHA512: 4b64077ee7929a983e31c40759685504246b5784527578ef0174e9142d485722195264b07210e6304838631d315a36b53d1ef4e196f425dacf550bbcc989c3f1
Homepage: https://cran.r-project.org/package=DeductiveR
Description: CRAN Package 'DeductiveR' (Deductive Rational Method)
 Apply the Deductive Rational Method to a monthly series of flow or
 precipitation data to fill in missing data. The method is as described in:
 Campos, D.F., (1984, ISBN:9686194444).

Package: r-cran-deduped
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-collapse, r-cran-fastmatch
Suggests: r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-deduped_0.2.0-1.ca2004.1_all.deb
Size: 14824
MD5sum: 98067803b572889aa2e59f57ea8e8844
SHA1: b063c29e40e95d382fdb9287823eb94d0d6dabda
SHA256: 0e2fab0a2e7de9705139b2b7b06d8c44b0c1441d687a0f256d1bf20f44e2721c
SHA512: 1c35f9c98751f3073f86eb67f122a0c421eb695eee817ce834832a6c54f0af8b199c84f90f95899f123913beccc85e4aa2d2dbee60616267966c8d6cb62870c4
Homepage: https://cran.r-project.org/package=deduped
Description: CRAN Package 'deduped' (Making "Deduplicated" Functions)
 Contains one main function deduped() which speeds up slow, vectorized
 functions by only performing computations on the unique values of the input
 and expanding the results at the end.

Package: r-cran-dedupewider
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dedupewider_0.1.1-1.ca2004.1_all.deb
Size: 104840
MD5sum: d8b65d4f69a968655d2aa5eb668a6170
SHA1: 4f64074b64d68217385b0076c67da0eb2574fc0b
SHA256: 4873306e5f69617ef4287ee9c8bb30b999a7a1afd89dfcf475c6d08921d6141c
SHA512: c132d02ca9d4d7c4b431f2d512c258341fc397e4e26660d690ac494b7685a3167d98fc081e7b18de520db4259fab148591edcc3f6f221447154fc686a6b007d9
Homepage: https://cran.r-project.org/package=dedupewider
Description: CRAN Package 'dedupewider' (Deduplication Across Multiple Columns)
 Duplicated data can exist in different rows and columns and user may need to
 treat observations (rows) connected by duplicated data as one observation,
 e.g. companies can belong to one family (and thus: be one company) by
 sharing some telephone numbers. This package allows to find connected rows
 based on data on chosen columns and collapse it into one row.

Package: r-cran-deep
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-deep_0.1.0-1.ca2004.1_all.deb
Size: 153696
MD5sum: 27ffce27fc660089295cdf0d3f00c05d
SHA1: 872bbc39e6deeea4cab3601f7ca43b5156de9afc
SHA256: ed8a619c8968c87c9e68d5d5fe19c2dc1477f1a402ee6ad168637e97182bbbb4
SHA512: a806248c9a255577d87c83e43d403e271b7bcf6fe7e58cc700dae7826558771abb854c6a409c90151c8e3e245c45ed0614ec7cf64c3372419a2221b509ece350
Homepage: https://cran.r-project.org/package=deep
Description: CRAN Package 'deep' (A Neural Networks Framework)
 Explore neural networks in a layer oriented way, the framework is intended
 to give the user total control of the internals of a net without much
 effort. Use classes like PerceptronLayer to create a layer of Percetron
 neurons, and specify how many you want. The package does all the tricky
 stuff internally leaving you focused in what you want. I wrote this package
 during a neural networks course to help me with the problem set.

Package: r-cran-deepdep
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cranlogs, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-biocmanager, r-cran-covr, r-cran-devtools, r-cran-ggplot2, r-cran-ggraph, r-cran-graphlayouts, r-cran-igraph, r-cran-knitr, r-cran-minicran, r-cran-plyr, r-cran-rmarkdown, r-cran-scales, r-cran-shiny, r-cran-shinycssloaders, r-cran-spelling, r-cran-stringi, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-deepdep_0.4.3-1.ca2004.1_all.deb
Size: 279708
MD5sum: 8d7b0bb15f39e8e31e280bf664393fd7
SHA1: 8ef3155ab01638ff4db68eef8ae0f35b08916be2
SHA256: abebaecd205ffcceae311eaf2b3569e23357ad19bf8e4ddacd09b2132cb07617
SHA512: f26f58b5ba26d88dadaa59c7058592cd3410fd70cdac6e983e0fb6d735aa56b980600903c93e5b8ef51e6f8dbdd17b361dc7df165d1d0b8a57ab3ccd0bc598df
Homepage: https://cran.r-project.org/package=deepdep
Description: CRAN Package 'deepdep' (Visualise and Explore the Deep Dependencies of R Packages)
 Provides tools for exploration of R package dependencies.  The main
 deepdep() function allows to acquire deep dependencies of any package and
 plot them in an elegant way.  It also adds some popularity measures for the
 packages e.g. in the form of download count through the 'cranlogs' package.
 Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor
 metadata <https://bioconductor.org>.  Other data acquire functions are:
 get_dependencies(), get_downloads() and get_description().  The
 deepdep_shiny() function runs shiny application that helps to produce a nice
 'deepdep' plot.

Package: r-cran-deepdive
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastdummies, r-cran-plyr, r-cran-rpart, r-cran-treeclust, r-cran-data.table, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-deepdive_1.0.4-1.ca2004.1_all.deb
Size: 86312
MD5sum: e72dfac500aba8fc30b9842a9ab38d4b
SHA1: 174257f231572b2fa54bd698f67516a39a5456a7
SHA256: 0cc3b9ed94c26d200470be73cd19e05b7050af0cc5c3539215c4daba70e559d0
SHA512: cf8eaad6d307ac723b047002b3e350584f4001baecc28df24dc2d38e300362faba7bc30ec6c28614f3ef933235fd8a3f476092f525362bf6ca9bbdaa492ea565
Homepage: https://cran.r-project.org/package=deepdive
Description: CRAN Package 'deepdive' (Deep Learning for General Purpose)
 Aims to provide simple intuitive functions to create quick prototypes of
 artificial neural network or deep learning models. In addition novel
 ensemble models like 'deeptree' and 'deepforest' has been included which
 combines decision trees and neural network.

Package: r-cran-deepgmm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-deepgmm_0.2.1-1.ca2004.1_all.deb
Size: 87992
MD5sum: ed0aecafca774ed53c62575074fbe692
SHA1: 36490146059465751612f13bc5c00fff135d4bc2
SHA256: 70b4cd590ea2535420b97abf70340569f31a7f22f050ff464b7529a3b284bb23
SHA512: f6b975a0fe8ffe07557fbd8170030efcab81c3a1f8b88f0c5043e490113df8dee67a072c4030d6d112f1928e488e0cfc1797531f731a7d1077b4503a51655797
Homepage: https://cran.r-project.org/package=deepgmm
Description: CRAN Package 'deepgmm' (Deep Gaussian Mixture Models)
 Deep Gaussian mixture models as proposed by Viroli and McLachlan (2019)
 <doi:10.1007/s11222-017-9793-z> provide a generalization of classical
 Gaussian mixtures to multiple layers. Each layer contains a set of latent
 variables that follow a mixture of Gaussian distributions. To avoid
 overparameterized solutions, dimension reduction is applied at each layer by
 way of factor models.

Package: r-cran-deeplearningcausal
Architecture: all
Version: 0.0.106-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rocr, r-cran-caret, r-cran-neuralnet, r-cran-superlearner, r-cran-class, r-cran-xgboost, r-cran-randomforest, r-cran-glmnet, r-cran-gam, r-cran-e1071, r-cran-gbm, r-cran-hmisc, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-weights
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-deeplearningcausal_0.0.106-1.ca2004.1_all.deb
Size: 235688
MD5sum: 7f180adfe8f693f25e48da0ec31ea6e3
SHA1: dc9ce4822139a949148f1ffe1aad449a49729df6
SHA256: 3fdac88f8901f7213249c60411677d8cd8fdd92387f544374c608c9f7ffccf37
SHA512: 8b641b402d152b0c2a95a1f0cf54c6a24f3d68cdfb656eede33109a8c31837993a18f68d57915100c7e59a88bf54878e498448ddab4b24990b5edeec6d5472b5
Homepage: https://cran.r-project.org/package=DeepLearningCausal
Description: CRAN Package 'DeepLearningCausal' (Causal Inference with Super Learner and Deep Neural Networks)
 Functions to estimate Conditional Average Treatment Effects (CATE) and
 Population Average Treatment Effects on the Treated (PATT) from experimental
 or observational data using the Super Learner (SL) ensemble method and Deep
 neural networks. The package first provides functions to implement
 meta-learners such as the Single-learner (S-learner) and Two-learner
 (T-learner) described in KC<nzel et al. (2019) <doi:10.1073/pnas.1804597116>
 for estimating the CATE. The S- and T-learner are each estimated using the
 SL ensemble method and deep neural networks. It then provides functions to
 implement the Ottoboni and Poulos (2020) <doi:10.1515/jci-2018-0035> PATT-C
 estimator to obtain the PATT from experimental data with noncompliance by
 using the SL ensemble method and deep neural networks.

Package: r-cran-deeplr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-utf8, r-cran-httr, r-cran-tibble, r-cran-purrr, r-cran-tokenizers, r-cran-jsonlite, r-cran-readr
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-deeplr_2.1.0-1.ca2004.1_all.deb
Size: 160148
MD5sum: 1979ea51f21b9f23af3db703ee05b1dd
SHA1: 8f935cc63884563171e5ea11fc87741ea8a205a2
SHA256: c7bb0f1375ff4f1fae909838055702463315928206b49e117e3c8775a9c2bf4b
SHA512: 1520fb4819a1f1442ba532bf1a1099dcc95a641c6dbbc9ebf294064f584dcc41b7e2e40ca551446b2e67a7aa9f0fca56332122e1d9681ecb3acbf7f7f2c49ddc
Homepage: https://cran.r-project.org/package=deeplr
Description: CRAN Package 'deeplr' (Interface to the 'DeepL' Translation API)
 A wrapper for the 'DeepL' API <https://developers.deepl.com/docs>, a web
 service for translating texts between different languages. A DeepL API
 developer account is required to use the service (see
 <https://www.deepl.com/pro#developer>).

Package: r-cran-deepmou
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-skmeans, r-cran-extradistr, r-cran-dplyr, r-cran-rfast, r-cran-entropy, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-deepmou_0.1.1-1.ca2004.1_all.deb
Size: 123928
MD5sum: 247e9cc8590d9dd9170d2b6cb3d293fd
SHA1: 8640b331795efadb2ccebf5fc581a5fa397f38fe
SHA256: b147931dedc6948e22bfded4775bad42c33cd20f45f178206b41dc0e90cd48d8
SHA512: 381fd4527cb0ca3d9dc7e419a1e54ca3c089a740f17df143c3ed40d1143595db29fcd0c922e08e4fdff6d645f45a5798bfe3383b9858bcf03c4aeac6f8bd876c
Homepage: https://cran.r-project.org/package=deepMOU
Description: CRAN Package 'deepMOU' (Clustering of Short Texts by Mixture of Unigrams and Its DeepExtensions)
 Functions providing an easy and intuitive way for fitting and clusters data
 using the Mixture of Unigrams models by means the Expectation-Maximization
 algorithm (Nigam, K. et al. (2000). <doi:10.1023/A:1007692713085>), Mixture
 of Dirichlet-Multinomials estimated by Gradient Descent (Anderlucci, Viroli
 (2020) <doi:10.1007/s11634-020-00399-3>) and Deep Mixture of Multinomials
 whose estimates are obtained with Gibbs sampling scheme (Viroli, Anderlucci
 (2020) <doi:10.1007/s11222-020-09989-9>). There are also functions for
 graphical representation of clusters obtained.

Package: r-cran-deepnet
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-deepnet_0.2.1-1.ca2004.1_all.deb
Size: 59744
MD5sum: 60bf71ee6bfa8d29a51d38df13cea79b
SHA1: 5b821ec19e0f4f26a3db6553aff3ec7069e04f11
SHA256: b90ae35c8c664ba02cd94371d01f027340be6c6bcefd5e48930ea6b3779eb69d
SHA512: d39786d418b6a6baf4dcd909278a1ddc6a4d97ef4beb2b8be83f86ca41f73f5ec2b9607e1e87b87659292654bc1f7dca56bade75b2c1d3350d8d8e780c0f5ea4
Homepage: https://cran.r-project.org/package=deepnet
Description: CRAN Package 'deepnet' (Deep Learning Toolkit in R)
 Implement some deep learning architectures and neural network algorithms,
 including BP,RBM,DBN,Deep autoencoder and so on.

Package: r-cran-deepnn
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-deepnn_1.2-1.ca2004.1_all.deb
Size: 156524
MD5sum: 14588e504a4e344d704da5cf39736688
SHA1: e19a0c74975bc5523d61fcca234f3c84a6ee64e9
SHA256: 395e516f2a299c43628bfd2adf89bc5ecb47feda05583183231f8aaa708864f6
SHA512: b763d53f5e8b6d707e61dc4516cf3f103ff1ab672805ff0143794393478c681068cd144ac68f9561218fcd07cb824343ab196d5cd5e2d4a3eb4a4456f74b9fda
Homepage: https://cran.r-project.org/package=deepNN
Description: CRAN Package 'deepNN' (Deep Learning)
 Implementation of some Deep Learning methods. Includes multilayer
 perceptron, different activation functions, regularisation strategies,
 stochastic gradient descent and dropout. Thanks go to the following
 references for helping to inspire and develop the package: Ian Goodfellow,
 Yoshua Bengio, Aaron Courville, Francis Bach (2016, ISBN:978-0262035613)
 Deep Learning. Terrence J. Sejnowski (2018, ISBN:978-0262038034) The Deep
 Learning Revolution. Grant Sanderson (3brown1blue)
 <https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi>
 Neural Networks YouTube playlist. Michael A. Nielsen
 <http://neuralnetworksanddeeplearning.com/> Neural Networks and Deep
 Learning.

Package: r-cran-deepr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dirmult
Filename: pool/dists/focal/main/r-cran-deepr_0.1-1.ca2004.1_all.deb
Size: 14472
MD5sum: 8b0d16025961ff2d0bdc68242541ff5b
SHA1: 08563b4dec5d3f0b49905b90f4882b9295593212
SHA256: 102e2b8457c470faac51998b56e045baa3cda99cd02b2e2e1da289c181fe05fe
SHA512: 973edfea76871512cdae7a0b672dfc55d633f76619585d06779d6cde77df3d277c3610ed9fae2905cec0c395f0b4d6a75b500bbdbd7e3bd3ff2d10cce362b184
Homepage: https://cran.r-project.org/package=DEEPR
Description: CRAN Package 'DEEPR' (Dirichlet-multinomial Evolutionary Event Profile Randomization(DEEPR) test)
 Tests for, and describe differences in event count profiles in groups of
 reconstructed cophylogenies

Package: r-cran-deepredeff
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1610
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-keras, r-cran-magrittr, r-cran-purrr, r-cran-reticulate, r-cran-rlang, r-cran-seqinr, r-cran-tensorflow
Suggests: r-cran-covr, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-deepredeff_0.1.1-1.ca2004.1_all.deb
Size: 918608
MD5sum: 1493c15446257d3c76e8235e6706570d
SHA1: 2eb888b13e01c8ed802b525022ed08f215e1f002
SHA256: 8e1aaf1578112c04327ac334d3bdb3ff9bbeed856bcec068835f9936b825b89b
SHA512: d207925e71ee64b383668613500ab6e9ffa04249eccc9bdca7539e320f9bb93bdd0b4923befcbbe928c22c8544d3afd323d9d858d9ea7616da207f3419abd8b0
Homepage: https://cran.r-project.org/package=deepredeff
Description: CRAN Package 'deepredeff' (Deep Learning Prediction of Effectors)
 A tool that contains trained deep learning models for predicting effector
 proteins. 'deepredeff' has been trained to identify effector proteins using
 a set of known experimentally validated effectors from either bacteria,
 fungi, or oomycetes.  Documentation is available via several vignettes, and
 the paper by Kristianingsih and MacLean (2020)
 <doi:10.1101/2020.07.08.193250>.

Package: r-cran-deepregression
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tensorflow, r-cran-tfprobability, r-cran-keras, r-cran-mgcv, r-cran-dplyr, r-cran-r6, r-cran-reticulate, r-cran-matrix, r-cran-magrittr, r-cran-tfruns, r-cran-coro, r-cran-torchvision, r-cran-luz, r-cran-torch
Suggests: r-cran-testthat, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-deepregression_2.2.0-1.ca2004.1_all.deb
Size: 673808
MD5sum: 2461e779529f5df5d9dbfd79f460e03a
SHA1: 38584b3c9bee581d9733d062cb397ccdd22c83b7
SHA256: 81e1e9cdbcb66283642a4e22c9e537ee72b1ebabbfdd4b0cba11db8d63633f54
SHA512: 3b99e5c6d54a9c279dd0ee12f2f260a186ea47872a2a7b2dd984d9e29f578b2c30514a82614429824572800154891142eafed8c6dc8ed24c66c5c10e66eadc22
Homepage: https://cran.r-project.org/package=deepregression
Description: CRAN Package 'deepregression' (Fitting Deep Distributional Regression)
 Allows for the specification of semi-structured deep distributional
 regression models which are fitted in a neural network as proposed by
 Ruegamer et al. (2023) <doi:10.18637/jss.v105.i02>.  Predictors can be
 modeled using structured (penalized) linear effects, structured non-linear
 effects or using an unstructured deep network model.

Package: r-cran-deeprstudio
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 927
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-assertthat, r-cran-clipr, r-cran-rstudioapi, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-deeprstudio_0.0.9-1.ca2004.1_all.deb
Size: 818460
MD5sum: ff416f4b37e49c6dadac0bfefe0e3cdf
SHA1: 8e15e6f5c4ae13e505e40ba21f883c7009c5cc8e
SHA256: 6d93bde3db165ab4bb9614cd45641fc9b679b3f5968ef134d40aad9e228eeb21
SHA512: d49205482ecf879238408f731a7b4a5d693457674b338ad0930a59138377b9d0795ab09a621c313101cdc706ad72be9b16df91b61e53b4e96689f4bd3f3bd3cb
Homepage: https://cran.r-project.org/package=deepRstudio
Description: CRAN Package 'deepRstudio' (Seamless Language Translation in 'RStudio' using 'DeepL' API and'Rstudioapi')
 Enhancing cross-language compatibility within the 'RStudio' environment and
 supporting seamless language understanding, the 'deepRstudio' package
 leverages the power of the 'DeepL' API (see
 <https://www.deepl.com/docs-api>) to enable seamless, fast, accurate, and
 affordable translation of code comments, documents, and text. This package
 offers the ability to translate selected text into English (EN), as well as
 from English into various languages, namely Japanese (JA), Chinese (ZH),
 Spanish (ES), French (FR), Russian (RU), Portuguese (PT), and Indonesian
 (ID). With much of the text being written in English, the emphasis is on
 compatibility from English. It is also designed for developers working on
 multilingual projects and data analysts collaborating with international
 teams, simplifying the translation process and making code more accessible
 and comprehensible to people with diverse language backgrounds. This package
 uses the 'rstudioapi' package and 'DeepL' API, and is simply implemented,
 executed from addins or via shortcuts on 'RStudio'. With just a few steps,
 content can be translated between supported languages, promoting better
 collaboration and expanding the global reach of work. The functionality of
 this package works only on 'RStudio' using 'rstudioapi'.

Package: r-cran-deeptime
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3827
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-deeptimedata, r-cran-ggplot2, r-cran-ggforce, r-cran-gridextra, r-cran-gtable, r-cran-lattice, r-cran-rlang, r-cran-scales, r-cran-ggfittext, r-cran-curl, r-cran-cli, r-cran-lifecycle, r-cran-grimport2, r-cran-ggh4x
Suggests: r-cran-geomtextpath, r-cran-phytools, r-cran-dplyr, r-cran-divdyn, r-cran-gsloid, r-cran-ape, r-cran-palaeoverse, r-cran-paleotree, r-cran-disprity, r-bioc-ggtree, r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-ggpattern, r-cran-ggrepel, r-cran-rmacrostrat, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-deeptime_2.2.0-1.ca2004.1_all.deb
Size: 2826524
MD5sum: 05638968d47704bd32e2ce87401e3b35
SHA1: 7dbae02b6552b320bf2311b847e8ad5a84c96408
SHA256: 9b37c28ee5da798b3cf8778f3cbee67ef03b323f975016fd5e1ef25448e90c91
SHA512: b205170b4405ad7649eec674f8828732a72fbdb4721602e8d0f4c24fafa8a8265ee9dd4047ee13fcd639f3b9513035e88bfdf64535a24559fb7abde0cdc7a488
Homepage: https://cran.r-project.org/package=deeptime
Description: CRAN Package 'deeptime' (Plotting Tools for Anyone Working in Deep Time)
 Extends the functionality of other plotting packages (notably 'ggplot2') to
 help facilitate the plotting of data over long time intervals, including,
 but not limited to, geological, evolutionary, and ecological data. The
 primary goal of 'deeptime' is to enable users to add highly customizable
 timescales to their visualizations. Other functions are also included to
 assist with other areas of deep time visualization.

Package: r-cran-deeptimedata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4622
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-grimport2, r-cran-rsvg, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-deeptimedata_1.0.0-1.ca2004.1_all.deb
Size: 4386496
MD5sum: da071b7ffb9b54c8b68a14bce042722b
SHA1: 453f486d8eb34e5c0fd3ad2eb67bca23ce7a57f5
SHA256: 16d8c725e3862a2fe23329d6b3a9f0ffaffcd3198f2718a7dede735a6446ba55
SHA512: acd238454b1261239ebd82b9cd8380d4a07413bd4acf53934488486c021037681c654ed62536e2972f0b9ff920e4e0d42f5f609b50630315803d33decc160955
Homepage: https://cran.r-project.org/package=deeptimedata
Description: CRAN Package 'deeptimedata' (Geologic Pattern Data from FGDC Used in 'deeptime')
 Geologic pattern data from <https://ngmdb.usgs.gov/fgdc_gds/geolsymstd.php>.
 Access functions are provided in the accompanying package 'deeptime'.

Package: r-cran-deet
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-activepathways, r-cran-pbapply, r-cran-dplyr, r-cran-ggplot2, r-cran-glmnet, r-cran-ggrepel, r-cran-downloader
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-deet_1.0.12-1.ca2004.1_all.deb
Size: 2099072
MD5sum: 05bb8a6dd5d47c86c43e0152a29a6efb
SHA1: d2da6dc65120951c0b6d1d307b4d76427c532177
SHA256: 30489441fb4c077774daceae07d72d2856fd794ee0c82a284efebe3b33451dae
SHA512: f6d5eb7c4b6d064b4a9c28c48c9ca89fd68788c3f5afe86440722519713d05f5fdc271ec5a49f38b8e3f8581a5cb1772eb66f3844a14e745174b2606492c5301
Homepage: https://cran.r-project.org/package=DEET
Description: CRAN Package 'DEET' (Differential Expression Enrichment Tool)
 Abstract of Manuscript. Differential gene expression analysis using RNA
 sequencing (RNA-seq) data is a standard approach for making biological
 discoveries. Ongoing large-scale efforts to process and normalize publicly
 available gene expression data enable rapid and systematic reanalysis. While
 several powerful tools systematically process RNA-seq data, enabling their
 reanalysis, few resources systematically recompute differentially expressed
 genes (DEGs) generated from individual studies. We developed a robust
 differential expression analysis pipeline to recompute 3162 human DEG lists
 from The Cancer Genome Atlas, Genotype-Tissue Expression Consortium, and 142
 studies within the Sequence Read Archive. After measuring the accuracy of
 the recomputed DEG lists, we built the Differential Expression Enrichment
 Tool (DEET), which enables users to interact with the recomputed DEG lists.
 DEET, available through CRAN and RShiny, systematically queries which of the
 recomputed DEG lists share similar genes, pathways, and TF targets to their
 own gene lists. DEET identifies relevant studies based on shared results
 with the user’s gene lists, aiding in hypothesis generation and data-driven
 literature review. Sokolowski, Dustin J., et al. "Differential Expression
 Enrichment Tool (DEET): an interactive atlas of human differential gene
 expression." Nucleic Acids Research Genomics and Bioinformatics (2023).

Package: r-cran-deevd
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd
Filename: pool/dists/focal/main/r-cran-deevd_1.2.3-1.ca2004.1_all.deb
Size: 37388
MD5sum: 7ef9aea8b906816856bd28ff1dc5a3db
SHA1: 432d45564f89d3dc6e7602b376df15e292eaa1dc
SHA256: 278bc03eae55403f17bba4cef017a071c055c6909ae1ee7e8f8b8dcd37783ebb
SHA512: beebc3e1dff5bfe2278ceabf7902341e0a1160f936b96fbcf2aff01478a4ce98fc8070b1c69560fc6e86b2e77f730ca2321d2b4d4553d7d16dfe01c6411c13d5
Homepage: https://cran.r-project.org/package=DEEVD
Description: CRAN Package 'DEEVD' (Density Estimation by Extreme Value Distributions)
 Provides mean squared error (MSE) and plot the kernel densities related to
 extreme value distributions with their estimated values.  By using Gumbel
 and Weibull Kernel. See Salha et al. (2014) <doi:10.4236/ojs.2014.48061> and
 Khan and Akbar (2021) <doi:10.4236/ojs.2021.112018 >.

Package: r-cran-default
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-default_1.0.0-1.ca2004.1_all.deb
Size: 16352
MD5sum: e025a1c7a1fff8ee2969fd0e061eaf90
SHA1: d8993eab60db4d6f8dad1f79c63b22f0ee18c482
SHA256: 7003aba4bfce88ba205e38a66bdbdeb988e46e2b611445d2d98e9b862f4f863b
SHA512: c69f7bfdff1a69aefed8b98343a859431c8453422bc7ce26e11ef26be92f4259ef726641c2c026d272cbd1f55ba3bf78fd3336eda3bdd66e1fe349716d114bb3
Homepage: https://cran.r-project.org/package=default
Description: CRAN Package 'default' (Change the Default Arguments in R Functions)
 A simple syntax to change the default values for function arguments, whether
 they are in packages or defined locally.

Package: r-cran-defineoptions
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-defineoptions_0.9-1.ca2004.1_all.deb
Size: 42912
MD5sum: d60a0697771793253f57f528aacdaf7b
SHA1: edd40fb825e8f50bfa76939b8570149c6048a318
SHA256: faf632e5c01c21208bab10803de523e94e1af697e69a0ebd505a1e3f0c8005fb
SHA512: 04ca024ed072c5f3f9b72dad4d7ac1b1923b102c69a6e9315a282d03195cb0af886957ce3a0776c332f72b8654ce87a23342c2e879b12605ba6ed68b8f678871
Homepage: https://cran.r-project.org/package=defineOptions
Description: CRAN Package 'defineOptions' (Define and Parse Command Line Options)
 Parses command line arguments and supplies values to scripts. Users can
 specify names to which parsed inputs are assigned, value types into which
 inputs are cast, long options or short options, input splitters and
 callbacks that define how options should be specified and how input values
 are supplied.

Package: r-cran-definer
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2785
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-common, r-cran-glue, r-cran-readxl, r-cran-xml2, r-cran-xslt, r-cran-reporter, r-cran-libr, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-definer_0.0.4-1.ca2004.1_all.deb
Size: 864716
MD5sum: ccfd55e37e162e80fc4bcbd91e5453cc
SHA1: 309eaafd14407d28cfcfeaea5a1153b9954816dd
SHA256: ccfb5c6f0eb3a799e1307d62e76cc70c570fb6786563d73fe00b82ead615d9ac
SHA512: 731c205ac8b98e0fe2bc687b55c903f05a869711f0337d08993cb5d01f8fb273191587a33b3e4b1db7f2009006d631a015fb7e1528d3c39a149abbc3a5aaa8b8
Homepage: https://cran.r-project.org/package=defineR
Description: CRAN Package 'defineR' (Creates Define XML Documents)
 Creates 'define.xml' documents used for regulatory submissions based on
 spreadsheet metadata.  Can also help create metadata and generate HTML data
 explorer.

Package: r-cran-defit
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve, r-cran-ggplot2, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-defit_0.3.0-1.ca2004.1_all.deb
Size: 131868
MD5sum: c4368f1db6a306ee6e0b68bb219b9a36
SHA1: 09c30e5584058359f4958a026aefbba64b4361c2
SHA256: deaee1103d29a796dc9507bfda87e6d9a785f16dc1668907c3158f7d36879d6a
SHA512: a2051ad748e6746da3b10a790b07e2c46af9f14d3f7860e5e1b206c53e982226ab945fdf5d7e2bca763a6a14e7a35fa6c3d4a1ddf331303e22b20b220533f24f
Homepage: https://cran.r-project.org/package=deFit
Description: CRAN Package 'deFit' (Fitting Differential Equations to Time Series Data)
 Use numerical optimization to fit ordinary differential equations (ODEs) to
 time series data to examine the dynamic relationships between variables or
 the characteristics of a dynamical system. It can now be used to estimate
 the parameters of ODEs up to second order, and can also apply to multilevel
 systems. See <https://github.com/yueqinhu/defit> for details.

Package: r-cran-deflatebr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-deflatebr_1.1.2-1.ca2004.1_all.deb
Size: 28612
MD5sum: d9158bbce0edf609b89b7770bb85c396
SHA1: 37984f1c4fd21081582d15a84d48dda9ee06f714
SHA256: 0da45fcec839f785f67ef3dcba66eed727b685a8046aebd7ad2607fac7fa797d
SHA512: 38f9d3444f4a7e4df83f83d0f8f30ba34af0436ce014ee89100330f839260839aa60800ca9e81217028074c87bf56cde90a3b9e730101430207bba2d3ad19767
Homepage: https://cran.r-project.org/package=deflateBR
Description: CRAN Package 'deflateBR' (Deflate Nominal Brazilian Reais)
 Simple functions to deflate nominal Brazilian Reais using several popular
 price indexes downloaded from the Brazilian Institute for Applied Economic
 Research.

Package: r-cran-deflist
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-memoise, r-cran-rlang, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-deflist_0.2.0-1.ca2004.1_all.deb
Size: 29916
MD5sum: aa75b64b16c2248e844da71654f6fb55
SHA1: 27ec6dc96227408e7cb022f3a3af986738fed9ae
SHA256: 830fd99a655baffb421b3e2bc5018a1ea6917566fa88162f1430dfe1535a96cd
SHA512: c279dd31e06d69e35e73d8309fc3f55df56464a671601c20fbf336f1c9d670975cb63e1517052fcf263b769730e7573996de4dbe4e84fdc8f53f8f2531d0b0d5
Homepage: https://cran.r-project.org/package=deflist
Description: CRAN Package 'deflist' (Deferred List - A Read-Only List-Like Object with DeferredAccess)
 Implements the 'deflist' class, a read-only list-like object that accesses
 its elements via a function.  The 'deflist' class can be used to model
 deferred access to data or computations by routing indexed list access to a
 function.  This approach is particularly useful when sequential list-like
 access to data is required but holding all the data in memory at once is not
 feasible.  The package also provides utilities for memoisation and caching
 to optimize access to frequently requested elements.

Package: r-cran-degday
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-magrittr, r-cran-zoo
Suggests: r-cran-cimir, r-cran-dplyr, r-cran-knitr, r-cran-testthat, r-cran-tidyr, r-cran-units
Filename: pool/dists/focal/main/r-cran-degday_0.4.0-1.ca2004.1_all.deb
Size: 62400
MD5sum: 92d35764f9c56db45331b673ca2acc2a
SHA1: 322058f35c8dccfda8840e1952e1902bdc86cf25
SHA256: 8fa8820f0c995d8f162c0a2958b1064f0ba820a30a99c48d5cf611b4471e01aa
SHA512: 23fbc9f2b1d0abad2e20581c113f519899c7ed78e93b19f462b1f0dcfa9037c9534e8f26a9ad89b1bd4662c7dfcae404ac8c84ef920efdfdcfcfc555596312f0
Homepage: https://cran.r-project.org/package=degday
Description: CRAN Package 'degday' (Compute Degree Days)
 Compute degree days from daily min and max temperatures for modeling plant
 and insect development.

Package: r-cran-degre
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-parglm, r-cran-glmmtmb, r-cran-foreach, r-cran-tibble, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-car, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-degre_0.2.0-1.ca2004.1_all.deb
Size: 50872
MD5sum: 94f60e8a177df5087d67f90208215183
SHA1: 1c61e37f0285a5c7ed2506fb1d906b308864aa02
SHA256: 089c8d0cc36b9d5aa797bdefa3627bac3ebc3f96e8fee1168ea9ced68894bd56
SHA512: a237f79be2fd320ce2009c9f2a9909c2a600ead1a58141b0f7cd7062d9edc72e07b850ce4a9c9f3c367479c916beabeefc2302ed09d93ae798051b80a11e3f1b
Homepage: https://cran.r-project.org/package=DEGRE
Description: CRAN Package 'DEGRE' (Inferring Differentially Expressed Genes using GeneralizedLinear Mixed Models)
 Genes that are differentially expressed between two or more experimental
 conditions can be detected in RNA-Seq. A high biological variability may
 impact the discovery of these genes once it may be divergent between the
 fixed effects. However, this variability can be covered by the random
 effects. 'DEGRE' was designed to identify the differentially expressed genes
 considering fixed and random effects on individuals. These effects are
 identified earlier in the experimental design matrix. 'DEGRE' has the
 implementation of preprocessing procedures to clean the near zero gene reads
 in the count matrix, normalize by 'RLE' published in the 'DESeq2' package,
 'Love et al. (2014)' <doi:10.1186/s13059-014-0550-8> and it fits a
 regression for each gene using the Generalized Linear Mixed Model with the
 negative binomial distribution, followed by a Wald test to assess the
 regression coefficients.

Package: r-cran-degross
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubicbsplines
Filename: pool/dists/focal/main/r-cran-degross_0.9.0-1.ca2004.1_all.deb
Size: 109504
MD5sum: 163b7eb452343dbb3e9a6d66af56ebeb
SHA1: 8cae7bbb735e232d57e06cb6232ea30c676908a3
SHA256: 2365ae93d877cd28d6cc5793dcf069a7b903072cf127eb1f5c0e7691b0c8cd6d
SHA512: bd40e5228b5a806bb64d5ed51baa510c7d402614a3b06a4258c277b9ec69ed78f89385ec2528ece1bf0d46f32e5d6d9420f99283830ee3ee8d84a7e523f63d49
Homepage: https://cran.r-project.org/package=degross
Description: CRAN Package 'degross' (Density Estimation from GROuped Summary Statistics)
 Estimation of a density from grouped (tabulated) summary statistics
 evaluated in each of the big bins (or classes) partitioning the support of
 the variable. These statistics include class frequencies and central moments
 of order one up to four. The log-density is modelled using a linear
 combination of penalised B-splines. The multinomial log-likelihood involving
 the frequencies adds up to a roughness penalty based on the differences in
 the coefficients of neighbouring B-splines and the log of a root-n
 approximation of the sampling density of the observed vector of central
 moments in each class. The so-obtained penalized log-likelihood is maximized
 using the EM algorithm to get an estimate of the spline parameters and,
 consequently, of the variable density and related quantities such as
 quantiles, see Lambert, P. (2021) <arXiv:2107.03883> for details.

Package: r-cran-dehogt
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-dehogt_0.99.0-1.ca2004.1_all.deb
Size: 225460
MD5sum: 36ba3e972673e829c129b3dca1f55735
SHA1: 590b90b02313ab7c09a117154ebbd26da55e6c92
SHA256: 4fb41ac764c905b170af9d64c70e0f3b7aa1f177307544666c3d83dde334ed60
SHA512: bf812a66b86bf4796237f8d1547a86ea73831a22b16a7d86b0d6b1995df4968d21fad67203511e3d3ffb758ca57376a30f32f5fd975080e1e966f329f0bf1db0
Homepage: https://cran.r-project.org/package=DEHOGT
Description: CRAN Package 'DEHOGT' (Differentially Expressed Heterogeneous Overdispersion Gene Testfor Count Data)
 Implements a generalized linear model approach for detecting differentially
 expressed genes across treatment groups in count data. The package supports
 both quasi-Poisson and negative binomial models to handle over-dispersion,
 ensuring robust identification of differential expression.  It allows for
 the inclusion of treatment effects and gene-wise covariates, as well as
 normalization factors for accurate scaling across samples.  Additionally, it
 incorporates statistical significance testing with options for p-value
 adjustment and log2 fold range thresholds, making it suitable for RNA-seq
 analysis as described in by Xu et al., (2024)
 <doi:10.1371/journal.pone.0300565>.

Package: r-cran-deident
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1558
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-openssl, r-cran-tidyselect, r-cran-rlang, r-cran-glue, r-cran-purrr, r-cran-stringr, r-cran-yaml, r-cran-readr, r-cran-openxlsx, r-cran-lemon, r-cran-withr, r-cran-fs
Suggests: r-cran-testthat, r-cran-checkmate, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-deident_1.0.0-1.ca2004.1_all.deb
Size: 684572
MD5sum: 746e1b610ba97257e53ecd21f2d9b105
SHA1: 6470578407c5d19fc3a8055babcc1b09dc45b32e
SHA256: 67f37d5de0e884a412ee254afd396d59070422049c85829b28e382a2b77acc96
SHA512: 42d4460b90490f190a570acdbe1b0ccec0c692d385abf970da69b51ff66d12af47dc51ac50f3bfb5111bf8ed7112bd4a778c7112784d529b3e9e3279e90afe78
Homepage: https://cran.r-project.org/package=deident
Description: CRAN Package 'deident' (Persistent Data Anonymization Pipeline)
 A framework for the replicable removal of personally identifiable data (PID)
 in data sets.  The package implements a suite of methods to suit different
 data types based on the suggestions of Garfinkel (2015)
 <doi:10.6028/NIST.IR.8053> and the ICO "Guidelines on Anonymization" (2012)
 <https://ico.org.uk/media/1061/anonymisation-code.pdf>.

Package: r-cran-dejavu
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dejavu_0.3.1-1.ca2004.1_all.deb
Size: 511632
MD5sum: a670dd13db9abad5b95157870275e665
SHA1: 5f32deaa21b4d7ffc0202159e12c5eea60d3d35d
SHA256: 8cb56d226d2b8b5cb2199d4f86e76b4ae6dd9896cbd82450216b1a41f8dd636e
SHA512: 0ba46dfbe2ea1c8914f144889ab7c6d1053abd384506686d363ea9853e48108d044e6afbe047c12a9016a80369a2bbabc1764d7de509df9e1eada13a97bfe06b
Homepage: https://cran.r-project.org/package=dejaVu
Description: CRAN Package 'dejaVu' (Multiple Imputation for Recurrent Events)
 Performs reference based multiple imputation of recurrent event data based
 on a negative binomial regression model, as described by Keene et al (2014)
 <doi:10.1002/pst.1624>.

Package: r-cran-delayed
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1074
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-igraph, r-cran-future, r-cran-rstackdeque, r-cran-rlang, r-cran-data.table, r-cran-visnetwork, r-cran-uuid, r-cran-bbmisc, r-cran-progress, r-cran-r.utils, r-cran-r.oo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-delayed_0.5.0-1.ca2004.1_all.deb
Size: 316496
MD5sum: 7dd86e7ca4215635c118567211b4bd64
SHA1: 32dd00d008ad06077ff54a85f2ec3a4f6e60e1a4
SHA256: ecd512562266f4d311bb4908cc02e77fb41c57120302debe1b1cccd00732f873
SHA512: 2ca78d952cadef692829f616872e6d9148bb9b085ab161dec9083ef3f31b66bea0b5075c1c232f0fb168e7aa06c65ab6a6f76302d4596878c5ceeb3f364bab60
Homepage: https://cran.r-project.org/package=delayed
Description: CRAN Package 'delayed' (A Framework for Parallelizing Dependent Tasks)
 Mechanisms to parallelize dependent tasks in a manner that optimizes the
 compute resources available. It provides access to "delayed" computations,
 which may be parallelized using futures. It is, to an extent, a facsimile of
 the 'Dask' library (<https://www.dask.org/>), for the 'Python' language.

Package: r-cran-delimtools
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4884
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-bioc-ggtree, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-ape, r-cran-forcats, r-cran-furrr, r-cran-future, r-cran-ggfun, r-cran-ggplot2, r-cran-gtools, r-cran-knitr, r-cran-patchwork, r-cran-randomcolor, r-cran-readr, r-cran-rcolorbrewer, r-cran-scales, r-cran-spider, r-cran-tibble, r-cran-tidytree, r-cran-vctrs, r-cran-withr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-delimtools_0.2.0-1.ca2004.1_all.deb
Size: 2846156
MD5sum: 8c5bb205edb74f546b9248595ec5e368
SHA1: 0fcee610076630aefb9d3025d84aee236108ec43
SHA256: 5aa9c73abfd063b0ac0f5d81ff2a2e2e086109af1d65ce254d7382fe4d1e8688
SHA512: b9b27e646f669b4fea04436ccaa41822a02b78dfe8cade0d73f17f455f131c78c8f2fc0319603f5fbc2203a946ad4db8ca53bc1c44283aaac106f65db80d0344
Homepage: https://cran.r-project.org/package=delimtools
Description: CRAN Package 'delimtools' (Helper Functions for Species Delimitation Analysis)
 Helpers functions to process, analyse, and visualize the output of single
 locus species delimitation methods.  For full functionality, please install
 suggested software at
 <https://legallab.github.io/delimtools/articles/install.html>.

Package: r-cran-delma
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1412
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lightparser, r-cran-purrr, r-cran-quarto, r-cran-rlang, r-cran-rmarkdown, r-cran-snakecase, r-cran-stringr, r-cran-tibble, r-cran-withr, r-cran-xfun, r-cran-xml2
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-delma_0.1.1-1.ca2004.1_all.deb
Size: 321724
MD5sum: 586bd29fdffb4b24e77889275d82a0f9
SHA1: faf90952e9b4f81b59194ce52de615838b165062
SHA256: da4911e327b00095f774f1598626f0eed5447cea412955b412005a6a8dfbc792
SHA512: 3bdb43a7c8c74c3ef10ff9fb3eda1d66e9c57d0d6a44548cd1aaa8f42ce374dc0527563a083810e1fbbaa0ee65308e81d6a7c96dafc3cdba29681591a7473faf
Homepage: https://cran.r-project.org/package=delma
Description: CRAN Package 'delma' (Convert 'R Markdown' and 'Quarto' Documents to EcologicalMetadata Language)
 Ecological Metadata Language or 'EML' is a long-established format for
 describing ecological datasets to facilitate sharing and re-use. Because
 'EML' is effectively a modified 'xml' schema, however, it is challenging to
 write and manipulate for non-expert users. 'delma' supports users to write
 metadata statements in 'R Markdown' or 'Quarto markdown' format, and parse
 them to 'EML' and (optionally) back again.

Package: r-cran-delta
Architecture: all
Version: 0.2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-delta_0.2.0.3-1.ca2004.1_all.deb
Size: 84628
MD5sum: 9e0c755bd39f240b998284bb013b8403
SHA1: 09626b3c311d67fc3a35d67cc04550526f57f1bb
SHA256: 835b32b6e8aa03543fb1a847ac484979756ce45204d207e2d179dc72a28f9d67
SHA512: 7bab5ac1ec428e8bdc3d7b18668f01797af8dc18806dd023e7052f74115b5cab1e8811cca4ffdf2956a6437dd2868e83c2c03c57c52df5e5b8b8fb57d47684f7
Homepage: https://cran.r-project.org/package=Delta
Description: CRAN Package 'Delta' (Measure of Agreement Between Two Raters)
 Measure of agreement delta was originally by Martín & Femia (2004)
 <DOI:10.1348/000711004849268>.  Since then has been considered as agreement
 measure for different fields, since their behavior is usually better than
 the usual kappa index by Cohen (1960) <DOI:10.1177/001316446002000104>. The
 main issue with delta is that can not be computed by hand contrary to kappa.
 The current algorithm is based on the Version 5 of the delta windows program
 that can be found on
 <https://www.ugr.es/~bioest/software/delta/cmd.php?seccion=downloads>.

Package: r-cran-deltaccd
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dorng, r-cran-foreach, r-cran-ggplot2, r-cran-rlang, r-cran-scales, r-cran-statmod, r-cran-data.table
Suggests: r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-deltaccd_1.0.2-1.ca2004.1_all.deb
Size: 871052
MD5sum: 5394534fbe8a0d39466d9eac42e8490c
SHA1: d37f425dd705bc8af4b74ef9b3ca183a0fba684e
SHA256: 46786887f102af94bcbd5ce4ad347e770e7a5a979d134bafb31ee66490a86eac
SHA512: 9bb48489b76208ed478def1a755ae9146a6f7c2b113d86ea4a64a87df80decc743be1071b7d3c0664090a624c7c30e6b5e774c0e31a42ac02a64b87459e4ac41
Homepage: https://cran.r-project.org/package=deltaccd
Description: CRAN Package 'deltaccd' (Quantify Rhythmic Gene Co-Expression Relative to a Reference)
 Infer progression of circadian rhythms in transcriptome data in which
 samples are not labeled with time of day and coverage of the circadian cycle
 may be incomplete. See Shilts et al. (2018) <doi:10.7717/peerj.4327>.

Package: r-cran-deltaman
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-shinymatrix, r-cran-xtable, r-cran-shinybs, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-deltaman_0.5.0-1.ca2004.1_all.deb
Size: 114008
MD5sum: a4f886cdefd172a011f6b392f2fb8461
SHA1: ccd468c0bdadb6017a5500eaf156e76ad742919a
SHA256: 0546f6a3b64e6da94be86460a61f65e0958bc64a1f1cbabb9ebedfc85769f57d
SHA512: 996ad8797e4a955e95261a776ab9ec2be89431f21ed92d014161d2b5275363f2a03ea718a326d094c65ff4cd93854396ee5ddb0c079bc29a7bcccff0c72fcd29
Homepage: https://cran.r-project.org/package=DeltaMAN
Description: CRAN Package 'DeltaMAN' (Delta Measurement of Agreement for Nominal Data)
 Analysis of agreement for nominal data between two raters using the Delta
 model. This model is proposed as an alternative to the widespread measure
 Cohen kappa coefficient, which performs poorly when the marginal
 distributions are very asymmetric (Martin-Andres and Femia-Marzo (2004),
 <doi:10.1348/000711004849268>; Martin-Andres and Femia-Marzo (2008)
 <doi:10.1080/03610920701669884>). The package also contains a function to
 perform a massive analysis of multiple raters against a gold standard. A
 shiny app is also provided to obtain the measures of nominal agreement
 between two raters.

Package: r-cran-deltaplotr
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-deltaplotr_1.6-1.ca2004.1_all.deb
Size: 75576
MD5sum: 7d3cb6468844314ad80c1a499f6a5548
SHA1: 48cb93ed4e3d6bf2d588ae818280b532592855fc
SHA256: 629b7f084ebbe318cdc6b6b5aba3c8c74334abab54236b019b0af9a22e91a1f0
SHA512: 8b0bee320367c87e483c8b300422636bd099ecd896518bf41a05247c8d1ac5d747a9cddfe8812ffe183b4356e8fa0abf8f89cb8f80aa892c1e440a03ecf8299f
Homepage: https://cran.r-project.org/package=deltaPlotR
Description: CRAN Package 'deltaPlotR' (Identification of Dichotomous Differential Item Functioning(DIF) using Angoff's Delta Plot Method)
 The deltaPlotR package implements Angoff's Delta Plot method to detect
 dichotomous DIF. Several detection thresholds are included, either from
 multivariate normality assumption or by prior determination. Item
 purification is supported (Magis and Facon (2014)
 <doi:10.18637/jss.v059.c01>).

Package: r-cran-deltatest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-r6, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-deltatest_0.1.0-1.ca2004.1_all.deb
Size: 87392
MD5sum: 9bc698af829be2dadac5197b6713d0a8
SHA1: faab87c014a2d9518f5f00117dc1f09843dd52e1
SHA256: c6d5a87b21d3ae909b1ed03fcdc64206164eae798cd80d1e687472bb269bdcb3
SHA512: 6fa40558b67c1c223f18352e7cc05ef39fd80d379d398354e38b8130439d42fcdab2b72098cfcb761435e367bb0beb9fa0bfb4f787362bc2cf4d08eaee6d2f16
Homepage: https://cran.r-project.org/package=deltatest
Description: CRAN Package 'deltatest' (Statistical Hypothesis Testing Using the Delta Method)
 Statistical hypothesis testing using the Delta method as proposed by Deng et
 al. (2018) <doi:10.1145/3219819.3219919>. This method replaces the standard
 variance estimation formula in the Z-test with an approximate formula
 derived via the Delta method, which can account for within-user correlation.

Package: r-cran-deltd
Architecture: all
Version: 2.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-deltd_2.6.8-1.ca2004.1_all.deb
Size: 58128
MD5sum: 5095efb9cd384115084585ee3a785c04
SHA1: afd6662a4921146d1380dc3a95a1611ec4640a1a
SHA256: afa8b52e89f86f3f8c131604fac9e59f85495450dbe128d800e7a7ebb7de2e33
SHA512: 8546a90fa47b46b68291864eae6ab72ce9adf94d5e68084ddc592b9f732c6c4ecce91d3bde49dda47ad2db7ecf3fe40632bc6c074221d38d40274eb28620ca1f
Homepage: https://cran.r-project.org/package=DELTD
Description: CRAN Package 'DELTD' (Kernel Density Estimation using Lifetime Distributions)
 A collection of asymmetrical kernels belong to lifetime distributions for
 kernel density estimation is presented.  Mean Squared Errors (MSE) are
 calculated for estimated curves. For this purpose, R functions allow the
 distribution to be Gamma, Exponential or Weibull.  For details see Chen
 (2000a,b), Jin and Kawczak (2003) and Salha et al. (2014)
 <doi:10.12988/pms.2014.4616>.

Package: r-cran-dem
Architecture: all
Version: 0.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1733
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dem_0.0.0.2-1.ca2004.1_all.deb
Size: 1736364
MD5sum: f4fd181a5bd7d1423632c66a47a31168
SHA1: e79d56285368116aad7bdd45f9e28abca7b92474
SHA256: 9cff85f8c903ba4e13c48d2f271f211c7661192b42c20145c0c9cd2ca9623ef1
SHA512: 1a9cbaf4d474f625700ac415b55364a10b40c5e47912f0160ace6064af4b639b9f6c6b4955ff5287dbcfa0c81deb98fba8e367d2c77383699b703e8782b1672d
Homepage: https://cran.r-project.org/package=DEM
Description: CRAN Package 'DEM' (The Distributed EM Algorithms in Multivariate Gaussian MixtureModels)
 The distributed expectation maximization algorithms are used to solve
 parameters of multivariate Gaussian mixture models. The philosophy of the
 package is described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

Package: r-cran-dematel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dematel_0.1.0-1.ca2004.1_all.deb
Size: 48692
MD5sum: 72a0957fd5d58a2196035ec711eb5e22
SHA1: 87849c22ad4b2ee23eb1830532ac3f3fded1bea3
SHA256: 2e93271e8f8b233a6c131b2d6073ea2399422dc9308529c1104a0d39e4f97ecb
SHA512: 7f506efb71db3e09694e4ec7e46c9c13aab2e5a30b9c975488b9cd993efd646c694b2cf48a88253eb3bd7f9890a11efa3ced2d8ae13a942efdd224fcf678c976
Homepage: https://cran.r-project.org/package=dematel
Description: CRAN Package 'dematel' (Decision Making Trial and Evaluation Laboratory Technique in R)
 Developed to Solve the Multi-Criteria Decision Making Problems with Decision
 Making Trial and Evaluation Laboratory Technique in R.

Package: r-cran-demcon
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 944
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-countrycode, r-cran-data.table, r-cran-httr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-cshapes, r-cran-sf, r-cran-states, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-rgeos, r-cran-kableextra, r-cran-lubridate, r-cran-haven, r-cran-readxl, r-cran-ggrepel, r-cran-png, r-cran-testthat, r-cran-vdiffr, r-cran-compare, r-cran-magrittr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-demcon_0.4.0-1.ca2004.1_all.deb
Size: 487504
MD5sum: a89c52dee3cff7e6eaed3c8ace76a0e4
SHA1: d4c4dcdbdb2801994f2bf9de071d534643757305
SHA256: 239a7dce5a5f5a59329ad21aced8117a2b6e2bbd9f8827c3f24376fc34ceb267
SHA512: 8120f843eea1b911769fe6e218aaebe45f8fd32800412c26af63dbf73dc3700b4fae44445747f58eada03a1020ca5f90366940f723edf0c3b8ade2ba0aa99038
Homepage: https://cran.r-project.org/package=demcon
Description: CRAN Package 'demcon' (Interfacing with Popular Polity, Institutional, andConstitutional Datasets)
 An open-source toolkit developed by ISciences, LLC and the DANTE Project
 that is intended for learning, accessing, pre-processing, and visualizing
 popular political, institutional, and constitutional datasets.  ‘demcon'
 aims to reduce barriers to entry in political science research by automating
 common acquisition and pre-processing procedures. This package particularly
 focuses on the V-Dem dataset (<https://www.v-dem.net/vdemds.html>), and
 provides adaptations of methods presented in Fjelde, H., Knutsen, C. H.  &
 Nygård, H. M. 2021, <doi:10.1093/isq/sqaa076>.

Package: r-cran-demerelate
Architecture: all
Version: 0.9-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fts, r-cran-sfsmisc, r-cran-vegan, r-cran-mlogit
Filename: pool/dists/focal/main/r-cran-demerelate_0.9-3-1.ca2004.1_all.deb
Size: 243684
MD5sum: c4483e1671e6c8d2f15fa74647162fe8
SHA1: d849aa60113e9c70c453436ca0a32ecd2bf08f1b
SHA256: 26278d06f4cdc3ee30bd56e41d7ce645176d7c2c94e68a19760b5b56cb58ca52
SHA512: 27cf3f2862e2244f12b00faa9de621ab01997c20ed363a23d797a9c467274e58e668847fd26e8057e37cb7b0f1fc2c0c2da3a6ca0f2882bd8c5ddcad8dc88a51
Homepage: https://cran.r-project.org/package=Demerelate
Description: CRAN Package 'Demerelate' (Functions to Calculate Relatedness on Diploid Genetic Data)
 Functions to calculate pairwise relatedness on diploid genetic datasets.
 Different estimators for relatedness can be combined with information on
 geographical distances. Information on heterozygosity, allele- and genotype
 diversity as well as genetic F-statistics are provided for each population.

Package: r-cran-demic
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-reshape2
Suggests: r-cran-covr, r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-demic_2.0.0-1.ca2004.1_all.deb
Size: 2050360
MD5sum: c3c51506ec169beb8616df4a02fd7471
SHA1: 6366481a386bbee02276f791f4c80e5f9770e7b3
SHA256: 2d0b916b122c9e0f95a929606c723bee7d625bd21556370c51d3d0c334419be5
SHA512: 2fe6121888566d572b1113c67d7f9b40429866522435eb2eedecbdf356ec2546ea8147ad348641af3f163982d1805d8302678f99b80eeffb3ff4545faf221beb
Homepage: https://cran.r-project.org/package=demic
Description: CRAN Package 'demic' (Dynamic Estimator of Microbial Communities)
 Multi-sample algorithm based on contigs and coverage values, to infer the
 relative distances of contigs from the replication origin and to accurately
 compare bacterial growth rates between samples. Yuan Gao and Hongzhe Li
 (2018) <doi:10.1038/s41592-018-0182-0>.

Package: r-cran-deming
Architecture: all
Version: 1.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-deming_1.4-1-1.ca2004.1_all.deb
Size: 266272
MD5sum: aa77bb8addbf6f55b1b1074e4811dfaa
SHA1: ecfe1d6e08b840d170dcc4641fba2a84d28cc48f
SHA256: 64b1b5123a4a75c03e9ee43ebcf2afb19a444e4bea4876055147f905e437cc8d
SHA512: c257005a9c362ad515c889c0702596b7b96e6dc27952776de2b89b3ee86debfa3d249711ce4c179fe4489311184f198cdbca0526ca879b76232f70beb7040f3c
Homepage: https://cran.r-project.org/package=deming
Description: CRAN Package 'deming' (Deming, Theil-Sen, Passing-Bablock and Total Least SquaresRegression)
 Generalized Deming regression, Theil-Sen regression and Passing-Bablock
 regression functions.

Package: r-cran-demodecomp
Architecture: all
Version: 1.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-numderiv
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-demodecomp_1.14.1-1.ca2004.1_all.deb
Size: 55992
MD5sum: 12541b280435df1cc3ae3689366f1349
SHA1: 5b63d83dd1086f20f9d90e6ff74b9d362448f836
SHA256: d3f9af372491b46e25aebc63712e86c735ec355a0cd5e5f0a4ea451fcd192f54
SHA512: 89531a49dfe128ee0d9f27ea70ec18ac16526b613eccec43c3031fdd0414088030f68a4d27c7f0674c8cc7bd4ba928e872865c18b2ef87eede0c7ffa98a7aada
Homepage: https://cran.r-project.org/package=DemoDecomp
Description: CRAN Package 'DemoDecomp' (Decompose Demographic Functions)
 Three general demographic decomposition methods: Pseudo-continuous
 decomposition proposed by Horiuchi, Wilmoth, and Pletcher (2008)
 <doi:10.1353/dem.0.0033>, stepwise replacement decomposition proposed by
 Andreev, Shkolnikov and Begun (2002) <doi:10.4054/DemRes.2002.7.14>, and
 lifetable response experiments proposed by Caswell (1989)
 <doi:10.1016/0304-3800(89)90019-7>.

Package: r-cran-demodelr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-tidyr, r-cran-dplyr, r-cran-formula.tools, r-cran-ggally, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-demodelr_1.0.1-1.ca2004.1_all.deb
Size: 86680
MD5sum: e60e3510e7d2e62cf85f90273148ee0c
SHA1: db69ad7d05d299e6c48ad1ed0605b3ba3209e8aa
SHA256: 0b4834a02d9f8779d4567a25d8ec8278d9770516ced0d65c78d8a0c7749320d0
SHA512: a4976ef61da517e7974a862883e265377c2703f688f94b3d7843db98662dc25e03d7829b157d77a7194c8af81741c8739210fe8b143cb75b5d81645d89512084
Homepage: https://cran.r-project.org/package=demodelr
Description: CRAN Package 'demodelr' (Simulating Differential Equations with Data)
 Designed to support the visualization, numerical computation, qualitative
 analysis, model-data fusion, and stochastic simulation for autonomous
 systems of differential equations. Euler and Runge-Kutta methods are
 implemented, along with tools to visualize the two-dimensional phaseplane.
 Likelihood surfaces and a simple Markov Chain Monte Carlo parameter
 estimator can be used for model-data fusion of differential equations and
 empirical models. The Euler-Maruyama method is provided for simulation of
 stochastic differential equations. The package was originally written for
 internal use to support teaching by Zobitz, and refined to support the text
 "Exploring modeling with data and differential equations using R" by John
 Zobitz (2021) <https://jmzobitz.github.io/ModelingWithR/index.html>.

Package: r-cran-demogr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-demogr_0.6.0-1.ca2004.1_all.deb
Size: 152988
MD5sum: 0e8e3ef17730727410c2edd89bd412b8
SHA1: 063bfc0e98852be59de887572ee4a16186ad342f
SHA256: e608e7de329c8deed963baa27a7413cf8b0e0c9f2dbb208c2694f629232f7591
SHA512: 997a0a788bd5e033a1ffa51e544d7f285974fcaad97eb28449f5a6529a43e98e29a7f4be97d16ada9a49fd40b814c9b47eb7689dcb7bd3b720f98cbf9efda7ba
Homepage: https://cran.r-project.org/package=demogR
Description: CRAN Package 'demogR' (Analysis of Age-Structured Demographic Models)
 Construction and analysis of matrix population models in R.

Package: r-cran-demografixer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-demografixer_0.1.1-1.ca2004.1_all.deb
Size: 119636
MD5sum: fc42cce9b78ec0bea46028606135a9e4
SHA1: ec4b0a9e7933482f70f95bc11efa659e589aa3b3
SHA256: 643abb0d7a115c680ada3775fbf34cb26ccd08cc359ee590aa875eebc8be4557
SHA512: f6e04c7b9ac69594f268edec7599900b2a6eca9d16dc662dc7107bc38367e380cb4d2b4e66bb76691c4032e32e205fc7fa886503c8128a6ad55c0b0a83a07f15
Homepage: https://cran.r-project.org/package=DemografixeR
Description: CRAN Package 'DemografixeR' (Extrapolate Gender, Age and Nationality of a Name)
 Connects to the <https://genderize.io/>, <https://agify.io/> and
 <https://nationalize.io/> APIs to estimate gender, age and nationality of a
 first name.

Package: r-cran-demographic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-officer, r-cran-magrittr, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-demographic_0.1.0-1.ca2004.1_all.deb
Size: 40416
MD5sum: c986996f49234279c726cff72aacf281
SHA1: 61f0cf82d4c85b89adb2cef343b73591319c1686
SHA256: f83fffeef4050ce78ed6c4a9db887f53d6c5dc5ebc0b48f618dbd4ad56065a73
SHA512: 91196972e5049558e47fa3788f52bf0597dbac5a17bf6c2117e416e19a14c3753f3d3eed7d24f8d0047ef0d6f4f59dbe5187fba1c8d97f98eacba4c2d8f3a598
Homepage: https://cran.r-project.org/package=demoGraphic
Description: CRAN Package 'demoGraphic' (Providing Demographic Table with the P-Value, Standardized MeanDifference Value)
 The Demographic Table in R combines contingency table for categorical
 variables, mean and standard deviation for continuous variables. t-test,
 chi-square test and Fisher's exact test calculated the p-value of two
 groups. The standardized mean difference were performed with 95 % confident
 interval, and writing table into document file.

Package: r-cran-demographictable
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-flextable, r-cran-officer, r-cran-scales
Suggests: r-cran-knitr, r-cran-quarto, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-demographictable_0.2.2-1.ca2004.1_all.deb
Size: 81084
MD5sum: faf04ed80a98883d50a3aebed7753dac
SHA1: 5138994c77f8847782286bae0264a19d30323327
SHA256: 0ff50f3172db394bd2e11ebe84af55db7b800d11c4b1be0b5a1a72cbf3ba8e0b
SHA512: 2aac712ccb45f62afb296e37ba8a207615d2b8384684fb15bf97a1bf2a44ae9f42a2d1968f56f8f6cf1040d5371f753ebe02253193d8aba1fa75f934cf4590d3
Homepage: https://cran.r-project.org/package=DemographicTable
Description: CRAN Package 'DemographicTable' (Create Demographic Table)
 To create demographic table with simple summary statistics, with optional
 comparison(s) over one or more groups.

Package: r-cran-demography
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3579
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-ftsa, r-cran-rainbow, r-cran-cobs, r-cran-mgcv, r-cran-strucchange, r-cran-hmdhfdplus
Filename: pool/dists/focal/main/r-cran-demography_2.0-1.ca2004.1_all.deb
Size: 3606700
MD5sum: d27352eedd2d55fc199973918938f879
SHA1: a0c798bb99fd938cc0e8d40d5d55e7752d239caa
SHA256: ae6ffa5652eb163145fbdd2844bd9ba3ffea8e5de33dd0306fb1db08bdd6fbdb
SHA512: 71589f58f5bae5354129e84966f6ecf9befe5111fab70329a300798232f5b4ce5707a7e93c344208126cef4945358e579486ba5ae753683e74327390d7d25ffb
Homepage: https://cran.r-project.org/package=demography
Description: CRAN Package 'demography' (Forecasting Mortality, Fertility, Migration and Population Data)
 Functions for demographic analysis including lifetable calculations;
 Lee-Carter modelling; functional data analysis of mortality rates, fertility
 rates, net migration numbers; and stochastic population forecasting.

Package: r-cran-demokde
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-demokde_1.0.1-1.ca2004.1_all.deb
Size: 26960
MD5sum: 42fe834c8cdf562b4adf9d0240bbb9ff
SHA1: a35d5f4462320dd804815e3560a2d0b7584a89ce
SHA256: 88074bee7b1d4ab625204c745afa6ea8dd6c5b1bb0ec5ae8c37fef0f8ee23136
SHA512: 97d8a53d873212736ef7c4c72f1a7803ef4ddbda9ec54bb522a6704eb117657f3d4e95ed17630f9a0ebc3d8909bb4e12c13406a0d5ac772af9adedc1b1e84bca
Homepage: https://cran.r-project.org/package=demoKde
Description: CRAN Package 'demoKde' (Kernel Density Estimation for Demonstration Purposes)
 Demonstration code showing how (univariate) kernel density estimates are
 computed, at least conceptually, and allowing users to experiment with
 different kernels, should they so wish.  The method used follows directly
 the definition, but gains efficiency by replacing the observations by
 frequencies in a very fine grid covering the sample range.  A canonical
 reference is B. W. Silverman, (1998) <doi: 10.1201/9781315140919>.  NOTE:
 the density function in the stats package uses a more sophisticated method
 based on the fast Fourier transform and that function should be used if
 computational efficiency is a prime consideration.

Package: r-cran-demokin
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5804
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-progress, r-cran-matrixcalc, r-cran-matrix, r-cran-mass, r-cran-igraph, r-cran-magrittr, r-cran-data.table, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-demokin_1.0.3-1.ca2004.1_all.deb
Size: 3022944
MD5sum: 8a3067fc371e4e5d6e73f9a9e2c3096c
SHA1: d17fdcd11c0fb75bb211989131f2079bb1054798
SHA256: b69887f629f4cc25df8ec868f257857f5e40d1a3e158321d51584d81f5774d48
SHA512: 6d52ef97b5136024342e4f478667570e019ca9993ce5168be54e0d49750c70387eaf686626e21b75e94c62c03bac49ebcde41b64637211105472ea4ac17d929e
Homepage: https://cran.r-project.org/package=DemoKin
Description: CRAN Package 'DemoKin' (Estimate Population Kin Distribution)
 Estimate population kin counts and its distribution by type, age and sex.
 The package implements one-sex and two-sex framework for studying
 living-death availability, with time varying rates or not, and multi-stage
 model.

Package: r-cran-demoshiny
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-demoshiny_0.1-1.ca2004.1_all.deb
Size: 226012
MD5sum: 3023af9c947fef42a8d55ca6024cd23b
SHA1: 8677f19724cc00015002b60b186a15b1378a3154
SHA256: a1668cdd314a9110bd142c4d699c2c4fe2c72611b7fd7264b2c74a7ec0e7487d
SHA512: 589d575f7b59700f43b5ecc64e167abd5c0afec2fd2a7fb0b443b36ecefb341a011dc8430f0f743c4088da732d974629c0b694f2c9aec93269368beb363767ac
Homepage: https://cran.r-project.org/package=demoShiny
Description: CRAN Package 'demoShiny' (Runs a 'Shiny' App as Demo or Lists All Demo 'Shiny' Apps)
 Mimics the demo functionality for 'Shiny' apps in a package. Apps stored to
 the package subdirectory inst/shiny can be called by demoShiny(topic).

Package: r-cran-demova
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-demova_1.0-1.ca2004.1_all.deb
Size: 55820
MD5sum: 3897e08f247dd45282c77183c3a7c472
SHA1: 0dbb997474740ce05b00e6dcab09e9e6543aeb15
SHA256: be7c7af74bb8be511f8a3368d9c6011a673d5a2d3e1db2969dc31de9de7ea43f
SHA512: a2c2373c90cc8d59824e1c2d91edfb732a84e2c0345c25d5290721db68bf7a6960693c714cf0ee2b588324988e105974569a27250537df69c77ae68ac4151096
Homepage: https://cran.r-project.org/package=DEMOVA
Description: CRAN Package 'DEMOVA' (DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated usingTest Set)
 Tool for the development of multi-linear QSPR/QSAR models (Quantitative
 structure-property/activity relationship). Theses models are used in
 chemistry, biology and pharmacy to find a relationship between the structure
 of a molecule and its property (such as activity, toxicology but also
 physical properties). The various functions of this package allows:
 selection of descriptors based of variances, intercorrelation and user
 expertise; selection of the best multi-linear regression in terms of
 correlation and robustness; methods of internal validation (Leave-One-Out,
 Leave-Many-Out, Y-scrambling) and external using test sets.

Package: r-cran-demulticoder
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3893
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-furrr, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-biocmanager, r-bioc-biostrings, r-bioc-dada2, r-cran-metacoder, r-bioc-shortread, r-bioc-phyloseq, r-cran-rmarkdown, r-cran-rcppparallel, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-demulticoder_0.1.2-1.ca2004.1_all.deb
Size: 1468452
MD5sum: 8519aac8297fa11234c4a627a14339b0
SHA1: 2ded3b7004a04468f8bcec66c9947af9273b04ce
SHA256: b76befec2862e984a773313ed7c7010e177c4d2b364383b67959ed5da4bc7b0d
SHA512: 035ae7e056146241136e1d122485cb0cbc4c2fd094bbc649865c9d5b99b3260cecdd40dfa0240f1f496e75743731892ad337d9af4d1f976f7919720a0c631279
Homepage: https://cran.r-project.org/package=demulticoder
Description: CRAN Package 'demulticoder' (Simultaneous Analysis of Multiplexed Metabarcodes)
 A comprehensive set of wrapper functions for the analysis of multiplex
 metabarcode data. It includes robust wrappers for 'Cutadapt' and 'DADA2' to
 trim primers, filter reads, perform amplicon sequence variant (ASV)
 inference, and assign taxonomy. The package can handle single metabarcode
 datasets, datasets with two pooled metabarcodes, or multiple datasets
 simultaneously. The final output is a matrix per metabarcode, containing
 both ASV abundance data and associated taxonomic assignments. An optional
 function converts these matrices into 'phyloseq' and 'taxmap' objects. For
 more information on 'DADA2', including information on how DADA2 infers
 samples sequences, see Callahan et al. (2016) <doi:10.1038/nmeth.3869>. For
 more details on the demulticoder R package see Sudermann et al. (2025)
 <doi:10.1094/PHYTO-02-25-0043-FI>.

Package: r-cran-dendextend
Architecture: all
Version: 1.19.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6998
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-seriation, r-cran-colorspace, r-cran-ape, r-cran-microbenchmark, r-cran-gplots, r-cran-heatmaply, r-cran-dynamictreecut, r-cran-pvclust, r-cran-corrplot, r-cran-dendser, r-cran-mass, r-cran-cluster, r-cran-fpc, r-cran-circlize, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dendextend_1.19.0-1.ca2004.1_all.deb
Size: 4815796
MD5sum: 40ef7270587cc827baa37ec060785fdb
SHA1: e174dbf83c761d5856df72780700eb8655c7e883
SHA256: 388a8588706943712e848601d2c50ce066a1461062e2ecab01fa708bb7d468fe
SHA512: ed88ea24514ce44c74754121d1c23fb993b15d9587dc1a564e932aeda102ec937f3e8579415cc9c86bb7a01df9bc2f8d3617d73939f0b5f50b8d18470ac6105f
Homepage: https://cran.r-project.org/package=dendextend
Description: CRAN Package 'dendextend' (Extending 'dendrogram' Functionality in R)
 Offers a set of functions for extending 'dendrogram' objects in R, letting
 you visualize and compare trees of 'hierarchical clusterings'. You can (1)
 Adjust a tree's graphical parameters - the color, size, type, etc of its
 branches, nodes and labels. (2) Visually and statistically compare different
 'dendrograms' to one another.

Package: r-cran-dendroanalyst
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyverse, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-readxl, r-cran-tibble, r-cran-tidyr, r-cran-zoo, r-cran-forecast, r-cran-mgcv, r-cran-minpack.lm, r-cran-pspline, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dendroanalyst_0.1.5-1.ca2004.1_all.deb
Size: 541900
MD5sum: 98d3982291a280a414833d3934d64c05
SHA1: ea9ed14ae920270a02c8f7dc712b4dccbe5a26be
SHA256: edf76162efbe79fd3c1d4bae8a13528b73a7f52cf8a7916668533a21f3d5f50e
SHA512: bc985b37fcc5fbeff20a3cf1dc6a063eee6131d6e9c922d8627e8c2263e30d233cef2fd7020925a5fe2d7050d45b3cfb2eea6dee43cebffb30d97e2b06392f19
Homepage: https://cran.r-project.org/package=dendRoAnalyst
Description: CRAN Package 'dendRoAnalyst' (A Tool for Processing and Analyzing Dendrometer Data)
 There are various functions for managing and cleaning data before the
 application of different approaches. This includes identifying and erasing
 sudden jumps in dendrometer data not related to environmental change,
 identifying the time gaps of recordings, and changing the temporal
 resolution of data to different frequencies. Furthermore, the package
 calculates daily statistics of dendrometer data, including the daily
 amplitude of tree growth. Various approaches can be applied to separate
 radial growth from daily cyclic shrinkage and expansion due to uptake and
 loss of stem water. In addition, it identifies periods of consecutive days
 with user-defined climatic conditions in daily meteorological data, then
 check what trees are doing during that period.

Package: r-cran-dendroextras
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dendroextras_0.2.3-1.ca2004.1_all.deb
Size: 32268
MD5sum: 61092011c62afc5d39d48db4c11be850
SHA1: 97a038c74a1cc0fd70579e5bd63aa36ac87c3fb4
SHA256: 51b4c2213bbc296383705ed90347c387256c0d6296a8c57fd88be74931638bb7
SHA512: fc99e30169e523ca19ddf0edee319c4186d3a598e6d2d1c70043e4bec4fb7100cec0941900349f967bdfc30a25a21b24e6d1c6870c1192459e2b80d18555b6d4
Homepage: https://cran.r-project.org/package=dendroextras
Description: CRAN Package 'dendroextras' (Extra Functions to Cut, Label and Colour Dendrogram Clusters)
 Provides extra functions to manipulate dendrograms that build on the base
 functions provided by the 'stats' package. The main functionality it is
 designed to add is the ability to colour all the edges in an object of class
 'dendrogram' according to cluster membership i.e. each subtree is coloured,
 not just the terminal leaves. In addition it provides some utility functions
 to cut 'dendrogram' and 'hclust' objects and to set/get labels.

Package: r-cran-dendrometer
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 995
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-pspline, r-cran-zoo
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dendrometer_1.1.1-1.ca2004.1_all.deb
Size: 586480
MD5sum: b34279710d18bc4764a86e8f32ae88ca
SHA1: 8812a457148285af6186c6a8e73d3fccafbe13dc
SHA256: b98645d8e41a1a61166cf4b4a6475e065ba7af375735f555b4bea66343fb1350
SHA512: d43d11275588be67848de1ae8707005bb706d0a12e58fe54d74ecbf00f4548acb69b93d2403174d3710f4b803fc4ba8783cd707227806bca048ff09e6d924295
Homepage: https://cran.r-project.org/package=dendrometeR
Description: CRAN Package 'dendrometeR' (Analyzing Dendrometer Data)
 Various functions to import, verify, process and plot high-resolution
 dendrometer data using daily and stem-cycle approaches as described in
 Deslauriers et al, 2007 <doi:10.1016/j.dendro.2007.05.003>.  For more
 details about the package please see: Van der Maaten et al. 2016
 <doi:10.1016/j.dendro.2016.06.001>.

Package: r-cran-dendrometry
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forestfit
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dendrometry_0.0.3-1.ca2004.1_all.deb
Size: 421860
MD5sum: c42de4b52549f71e029024990499741a
SHA1: b3af63aa06aa7a73c4e48096d9bb3ceee52a54f3
SHA256: f6736e297bc10f8b1a9aca8797db3d049523580091a31dbd3fd457823e44f6b0
SHA512: 36eeba1918fb5ae6642fb495d2d5883f5109f0f71c29a06f962ddb916fb5fc38ce16b4562d3dac5ee9f6329844dcca519df0d9af0d29e6f0d2ea7481ef9ac5fd
Homepage: https://cran.r-project.org/package=dendrometry
Description: CRAN Package 'dendrometry' (Forest Estimations and Dendrometric Computations)
 Computation of dendrometric and structural parameters from forest inventory
 data. The objective is to provide an user-friendly R package for
 researchers, ecologists, foresters, statisticians, loggers and others
 persons who deal with forest inventory data. Useful conversion of angle
 value from degree to radian, conversion from angle to slope (in percentage)
 and their reciprocals as well as principal angle determination are also
 included. Position and dispersion parameters usually found in forest studies
 are implemented. The package contains Fibonacci series, its extensions and
 the Golden Number computation.  Useful references are Arcadius Y. J.
 Akossou, Soufianou Arzouma, Eloi Y. Attakpa, Noël H. Fonton and Kouami Kokou
 (2013) <doi:10.3390/d5010099> and W. Bonou, R. Glele Kakaï, A.E. Assogbadjo,
 H.N. Fonton, B. Sinsin (2009) <doi:10.1016/j.foreco.2009.05.032> .

Package: r-cran-dendronetwork
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3391
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplr, r-cran-igraph, r-cran-stringr, r-cran-reshape2, r-bioc-rcy3, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-tidyr, r-cran-foreach, r-cran-lifecycle, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-dendronetwork_0.5.4-1.ca2004.1_all.deb
Size: 1358076
MD5sum: 41e2ad0ed4724f9e2e43836ebb4c66da
SHA1: b95ca6f1484fe36caa2c4eab0bb71b35f5c0fd2e
SHA256: 6e91bf731c5da35d95387646e52501a7a743fa9ed5ffcd49b4dc34c89c587c66
SHA512: 348afc9f938ee8b9975f45d938a5f4bd03fea4f9c5e76e252cd390ef1d5d46025fd9ca62cacc3d6f9db8e2118e67029cebc023147169959c68f819deb3332845
Homepage: https://cran.r-project.org/package=dendroNetwork
Description: CRAN Package 'dendroNetwork' (Create Networks of Dendrochronological Series using PairwiseSimilarity)
 Creating dendrochronological networks based on the similarity between
 tree-ring series or chronologies. The package includes various functions to
 compare tree-ring curves building upon the 'dplR' package. The networks can
 be used to visualise and understand the relations between tree-ring curves.
 These networks are also very useful to estimate the provenance of wood as
 described in Visser (2021) <DOI:10.5334/jcaa.79> or wood-use within a
 structure/context/site as described in Visser and Vorst (2022)
 <DOI:10.1163/27723194-bja10014>.

Package: r-cran-dendrosync
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlme, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-dendrosync_0.1.4-1.ca2004.1_all.deb
Size: 125288
MD5sum: b0a5eef46d900a843598063bb783744a
SHA1: a491249d459cf37c2f5ddfbd527fb0a0f2237b22
SHA256: 594042be0e94b3db6ced0f9dadc55d8feed105874aef933a992c69338fa98ecf
SHA512: 3faafc1d98ae8a0c145510414cef556afc21cb42454875407d757af61658be7468598603dbe1c63203c2818ab7f40b20ef5de242014b9e20789b4a625aba85a2
Homepage: https://cran.r-project.org/package=DendroSync
Description: CRAN Package 'DendroSync' (A Set of Tools for Calculating Spatial Synchrony BetweenTree-Ring Chronologies)
 Provides functions for the calculation and plotting of synchrony in tree
 growth from tree-ring width chronologies (TRW index). It combines
 variance-covariance (VCOV) mixed modelling with functions that quantify the
 degree to which the TRW chronologies contain a common temporal signal. It
 also implements temporal trends in spatial synchrony using a moving window.
 These methods can also be used with other kind of ecological variables that
 have temporal autocorrelation corrected.

Package: r-cran-dendrotools
Architecture: all
Version: 1.2.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2667
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-brnn, r-cran-reshape2, r-cran-scales, r-cran-oce, r-cran-mlmetrics, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-plotly, r-cran-randomforest, r-cran-cubist, r-cran-lubridate, r-cran-psych, r-cran-boot, r-cran-viridis, r-cran-dplr
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dendrotools_1.2.14-1.ca2004.1_all.deb
Size: 1486496
MD5sum: 9f8324b8e821a996abf5fb545c669a6f
SHA1: d976a419f6539701e9c151219b84d660c67e568a
SHA256: 25f4c85e0477feda7f4192adb47bcec1d88a542a692afa77eb7b6237a3a7f06a
SHA512: b234fa04a725258af87b39361016672bf01076ea98908293ec7f719b3ddbc51acfa3b56e67bb0d031fed455a11cb11118026eed0d42048356c3a3532234712e0
Homepage: https://cran.r-project.org/package=dendroTools
Description: CRAN Package 'dendroTools' (Linear and Nonlinear Methods for Analyzing Daily and MonthlyDendroclimatological Data)
 Provides novel dendroclimatological methods, primarily used by the Tree-ring
 research community. There are four core functions. The first one is
 daily_response(), which finds the optimal sequence of days that are related
 to one or more tree-ring proxy records. Similar function is
 daily_response_seascorr(), which implements partial correlations in the
 analysis of daily response functions.  For the enthusiast of monthly data,
 there is monthly_response() function.  The last core function is
 compare_methods(), which effectively compares several linear and nonlinear
 regression algorithms on the task of climate reconstruction.

Package: r-cran-dendsort
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1608
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-gplots, r-cran-seriation, r-cran-gapmap, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dendsort_0.3.4-1.ca2004.1_all.deb
Size: 1149440
MD5sum: 8746ee9f12e12defbc555d160df77036
SHA1: 668398a71857b8cb0468b0a2abc4f8d390623e44
SHA256: 930c32b7db2606d44e6d8352fe5fef329d3f8cb596f8b51b410484059328c73a
SHA512: 57608668d2e241ce3bf0c92159aa317d34cdd1f833a420bda63fdac38d449f80ce5fdb4b52e8547fa11a1c6ef28afab4c308915ac9907c6e4a0c342bf7103bef
Homepage: https://cran.r-project.org/package=dendsort
Description: CRAN Package 'dendsort' (Modular Leaf Ordering Methods for Dendrogram Nodes)
 An implementation of functions to optimize ordering of nodes in a
 dendrogram, without affecting the meaning of the dendrogram. A dendrogram
 can be sorted based on the average distance of subtrees, or based on the
 smallest distance value. These sorting methods improve readability and
 interpretability of tree structure, especially for tasks such as comparison
 of different distance measures or linkage types and identification of tight
 clusters and outliers. As a result, it also introduces more meaningful
 reordering for a coupled heatmap visualization. This method is described in
 "dendsort: modular leaf ordering methods for dendrogram representations in
 R", F1000Research 2014, 3: 177 <doi:10.12688/f1000research.4784.1>.

Package: r-cran-denguedatahub
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2281
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-rvest, r-cran-stringr, r-cran-lifecycle, r-cran-magrittr, r-cran-here, r-cran-purrr, r-cran-xml2, r-cran-tabulapdf, r-cran-rlang
Suggests: r-cran-roxygen2, r-cran-tsibble
Filename: pool/dists/focal/main/r-cran-denguedatahub_3.2.0-1.ca2004.1_all.deb
Size: 1265788
MD5sum: bc8a0722aab720a175c67ae0c898af26
SHA1: a412c1229e0759ef552cd912b93618139b698ad1
SHA256: 36f69b7dffdfb655702f752bb03a93131ed6da5f4bb2d2042ffe17f2ee4df078
SHA512: 53e12c7ad109ec4a85d2043eef4e9b3d01b41484e07529bd148fc1c5807d92ae2f713d81c17d59e5f54687bdbe5055a7f6beeba17c7780540eb89fa3b6eda2c5
Homepage: https://cran.r-project.org/package=denguedatahub
Description: CRAN Package 'denguedatahub' (A Tidy Format Datasets of Dengue by Country)
 Provides a weekly, monthly, yearly summary of dengue cases by state/
 province/ country.

Package: r-cran-denoiseq
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-denoiseq_0.1.1-1.ca2004.1_all.deb
Size: 196964
MD5sum: dd544eb69f6e89d1c9f0e81d6410ed1b
SHA1: f7879ffa84d67dcf9014e7efc6c36780c2ee3424
SHA256: dae9bc4a74c1483a87fecf21056c257b28ea68b678b321f21b4ca1bd7f6c335a
SHA512: 5baea84def1e66d987a58ce6a2826fdeacaa1701f7c0e1879c0228e91f0eef44e3fc86015695943e292ea1afed0086aec060cd54498c2d04923fa8a9f5444b00
Homepage: https://cran.r-project.org/package=denoiSeq
Description: CRAN Package 'denoiSeq' (Differential Expression Analysis Using a Bottom-Up Model)
 Given count data from two conditions, it determines which transcripts are
 differentially expressed across the two conditions using Bayesian inference
 of the parameters of a bottom-up model for PCR amplification. This model is
 developed in Ndifon Wilfred, Hilah Gal, Eric Shifrut, Rina Aharoni, Nissan
 Yissachar, Nir Waysbort, Shlomit Reich Zeliger, Ruth Arnon, and Nir Friedman
 (2012), <http://www.pnas.org/content/109/39/15865.full>, and results in a
 distribution for the counts that is a superposition of the binomial and
 negative binomial distribution.

Package: r-cran-denoiser
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-irlba, r-cran-matrix, r-cran-factominer
Suggests: r-cran-missmda
Filename: pool/dists/focal/main/r-cran-denoiser_1.0.2-1.ca2004.1_all.deb
Size: 264192
MD5sum: 1bdbcdc83d279ab23f30ec0c663d3061
SHA1: 6fc7a5b3ceab2205908311ff7a1bce917c89a707
SHA256: 2c37ef156b2400370bb014e1174f95f8c3e6315e42cc0b2db2a24a5641bc323e
SHA512: 1bdb7455773d7e02652121d4fded79b3b9e6c619504f44def7dc6b4d3d727dbfc4a1085a5eedfe9612028fa8fa8891625aabf6364316b6075e991a10cc342997
Homepage: https://cran.r-project.org/package=denoiseR
Description: CRAN Package 'denoiseR' (Regularized Low Rank Matrix Estimation)
 Estimate a low rank matrix from noisy data using singular values
 thresholding and shrinking functions. Impute missing values with matrix
 completion. The method is described in <arXiv:1602.01206>.

Package: r-cran-denovolyzer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1465
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-denovolyzer_0.2.0-1.ca2004.1_all.deb
Size: 1429380
MD5sum: 1a9c252d9a424e0da1c85fb2f858fbd6
SHA1: ba7c1b740d92897a4027bfa2b0d5735905de6a8a
SHA256: 05159ecea7a5ad4719ef6c38a2696de6f7dfe7ab6de47222b539622abe5c2b74
SHA512: 0483edeebc2dbccef4cbfe7348b3e443aef61f62113b2a0079672cfcb4a4b099311450441fdf43abccaedd90f375c9695e0215ac6a0c60a3a1992968891501cb
Homepage: https://cran.r-project.org/package=denovolyzeR
Description: CRAN Package 'denovolyzeR' (Statistical Analyses of De Novo Genetic Variants)
 An integrated toolset for the analysis of de novo (sporadic) genetic
 sequence variants. denovolyzeR implements a mutational model that estimates
 the probability of a de novo genetic variant arising in each human gene,
 from which one can infer the expected number of de novo variants in a given
 population size. Observed variant frequencies can then be compared against
 expectation in a Poisson framework. denovolyzeR provides a suite of
 functions to implement these analyses for the interpretation of de novo
 variation in human disease.

Package: r-cran-denseflmm
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-mass, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-denseflmm_0.1.3-1.ca2004.1_all.deb
Size: 52232
MD5sum: d28e362a41346f984a0e77a69327f65e
SHA1: ebd1e13e3c0d4c6ca4c1a86f1b9089e8a1b83f02
SHA256: 72523fb85e3a73b80252494cf55ac4268b51bb6b041db5764eacad49373789d6
SHA512: b8155c0d2ac9d5ea2e8398b5972a1631fc3c489257e162eef4e468e1cc3cf492ba7dfba0bf2461b3e1774e0e82ad3e6b0f2ec36049578f0cd64388b621ca5dc2
Homepage: https://cran.r-project.org/package=denseFLMM
Description: CRAN Package 'denseFLMM' (Functional Linear Mixed Models for Densely Sampled Data)
 Estimation of functional linear mixed models for densely sampled data based
 on functional principal component analysis.

Package: r-cran-densitr
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2563
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint
Suggests: r-cran-pbapply, r-cran-mgcv, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-densitr_0.2-1.ca2004.1_all.deb
Size: 830040
MD5sum: 49f5cbfd06fec439eb2a099852c006c0
SHA1: 7552f5dc3e88a640125c2d3d4bef3fd8d48dac18
SHA256: 25b51d37a8c3938ec4b0ac71ca2378cb3c93d51d2ed3385daa2d2e2b085cd7cb
SHA512: 6a3523958fecb1c96e7104ee5b834b3c4fea5df938397672ba96f27dff0806bf44ec15b0eaba49cbafdef169869decf62abf0aa99e46b5764a5dc256f9da113e
Homepage: https://cran.r-project.org/package=densitr
Description: CRAN Package 'densitr' (Analysing Density Profiles from Resistance Drilling of Trees)
 Provides various tools for analysing density profiles obtained by resistance
 drilling. It can load individual or multiple files and trim the starting and
 ending part of each density profile. Tools are also provided to trim
 profiles manually, to remove the trend from measurements using several
 methods, to plot the profiles and to detect tree rings automatically.
 Written with a focus on forestry use of resistance drilling in standing
 trees.

Package: r-cran-density.t.holdout
Architecture: all
Version: 2.00-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-histogram
Filename: pool/dists/focal/main/r-cran-density.t.holdout_2.00-1.ca2004.1_all.deb
Size: 77264
MD5sum: a0c455ce9120b9967beefb776c0cbea7
SHA1: 0c4784475f72c8ceefba659e8320456a2916c4b9
SHA256: ce0f77eaca7c00a81f802a370032642c5dd0cbf0b0bfe50d35dc33abaf37237e
SHA512: 96ebd0633978750ab6031c7816acf098a23d4a64431aa69febc21eb78694dff8f75203570b636107b6aa226fca1a1a95b11b20c5d8e60035626e38770eeb940d
Homepage: https://cran.r-project.org/package=Density.T.HoldOut
Description: CRAN Package 'Density.T.HoldOut' (Density.T.HoldOut: Non-combinatorial T-estimation Hold-Out fordensity estimation)
 Implementation in the density framework of the non-combinatorial algorithm
 and its greedy version, introduced by Magalhães and Rozenholc (2014), for
 T-estimation Hold-Out proposed in Birgé (2006, Section 9). The package
 provide an implementation which uses several families of estimators (regular
 and irregular histograms, kernel estimators) which may be used alone or
 combined. As a complement, provides also a comparison with other Held-Out
 derived from least-squares and maximum-likelihood. This package implements
 also the T-estimation Hold-Out derived from the test introduced in Baraud
 (2011).

Package: r-cran-densityarea
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3764
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggdensity, r-cran-isoband, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-sfheaders, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-forcats, r-cran-ggplot2, r-cran-knitr, r-cran-ragg, r-cran-readr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-densityarea_0.1.0-1.ca2004.1_all.deb
Size: 2899600
MD5sum: 9524a9bb263db1307f70ff49ff5d0f97
SHA1: e6b1a5bc8123c35561ccdef2014967375cbef000
SHA256: fedf9966290c29b04e425c5d469d2eb3e7ae8680930a4399d24be3e62a01c475
SHA512: e442afcaae16237e6244b3e6cbc2c1f2168480242ac99bc828a7b05c50bdfea4f27a906ad26044f8c02fd1363c076ebb39b286eb64f746f7aaf32d10ceee509d
Homepage: https://cran.r-project.org/package=densityarea
Description: CRAN Package 'densityarea' (Polygons of Bivariate Density Distributions)
 With bivariate data, it is possible to calculate 2-dimensional kernel
 density estimates that return polygons at given levels of probability.
 'densityarea' returns these polygons for analysis, including for calculating
 their area.

Package: r-cran-densparcorr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clime, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-densparcorr_1.1-1.ca2004.1_all.deb
Size: 27336
MD5sum: 18370b45242548405dedd77d44d57baa
SHA1: 940372e30b85b01581fc053efc7098798857738f
SHA256: ec90dd2c4798c25436d07664436e14c5abcad9bf523a5519ffa4dd7c9a06283b
SHA512: f5ed61c7e9e980ab2a6d3dff21b8a3bf08dcc1e50333f8539d7e788ce7061a761eefc28fb93e802e4cd6d9e1da8d1fab3acde6459940aa7cad20fb28de8a6178
Homepage: https://cran.r-project.org/package=DensParcorr
Description: CRAN Package 'DensParcorr' (Dens-Based Method for Partial Correlation Estimation in LargeScale Brain Networks)
 Provide a Dens-based method for estimating functional connection in large
 scale brain networks using partial correlation.

Package: r-cran-densratio
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-densratio_0.2.1-1.ca2004.1_all.deb
Size: 207060
MD5sum: dd271793b5eee3f47915277e8c09f669
SHA1: a3171aa431a51b21de42672a84a7e4ded2d5247e
SHA256: a12a2b57daf4706af595567f5956568b3df0131cf26441536cb2ceadb35568ac
SHA512: 6c2dea0b1b25c8547901e4f1455563547f5a008bd8e719675b58ffb16a27c90b604e2c7eae3113b9304de0c94fe8f41b691fcc775217af327623847f79eef552
Homepage: https://cran.r-project.org/package=densratio
Description: CRAN Package 'densratio' (Density Ratio Estimation)
 Density ratio estimation.  The estimated density ratio function can be used
 in many applications such as anomaly detection, change-point detection,
 covariate shift adaptation.  The implemented methods are uLSIF (Hido et al.
 (2011) <doi:10.1007/s10115-010-0283-2>), RuLSIF (Yamada et al. (2011)
 <doi:10.1162/NECO_a_00442>), and KLIEP (Sugiyama et al. (2007)
 <doi:10.1007/s10463-008-0197-x>).

Package: r-cran-denstest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-denstest_1.0.0-1.ca2004.1_all.deb
Size: 84792
MD5sum: d1f9dc271e2456993c9718457c1ffbb8
SHA1: b97b302328f78ddcaf915c0528e727b0a7e4a2a4
SHA256: c3067c1135e66c59c73f5d7324f9b6941789414eb3c20f2b4b4affb0e4bfe693
SHA512: a93ac7fd7ea678db9153a47af9d6f766c0139c21c5b2c77525780bb0580a577071177b89f608afd59b0bdff2b0f8eb866d3a05987b9bee48f0cc01fe93fc069e
Homepage: https://cran.r-project.org/package=denstest
Description: CRAN Package 'denstest' (Density Equality Testing)
 Methods for testing the equality between groups of estimated density
 functions. The package implements FDET (Fourier-based Density Equality
 Testing) and MDET (Moment-based Density Equality Testing), two new
 approaches introduced by the author. Both methods extend an earlier testing
 approach by Delicado (2007), "Functional k-sample problem when data are
 density functions" <doi:10.1007/s00180-007-0047-y>, which is referred to as
 DET (Density Equality Testing) in this package for clarity. FDET compares
 groups of densities based on their global shape using Fourier transforms,
 while MDET tests for differences in distributional moments. All methods are
 described in Anarat, Krutmann and Schwender (2025), "Testing for Differences
 in Extrinsic Skin Aging Based on Density Functions" (Submitted).

Package: r-cran-denstrip
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-denstrip_1.5.5-1.ca2004.1_all.deb
Size: 108944
MD5sum: 96288bc298ee73596e256dcc53fb8353
SHA1: 1b8c4ee92258a6183451bfe8807b28706e26627f
SHA256: 819f249aba4c8f54d7f939eb8ed47d49d83c88b5b43cc104462a44120af0c2d5
SHA512: 1d415187cdda02b9672af495c060977e7141c35ecf634a50911e0c46c8e6d02fe75b929d977c23e808295eec6d11b5deff12cd459b692c9f5599bc0028b38429
Homepage: https://cran.r-project.org/package=denstrip
Description: CRAN Package 'denstrip' (Density Strips and Other Methods for Compactly IllustratingDistributions)
 Graphical methods for compactly illustrating probability distributions,
 including density strips, density regions, sectioned density plots and
 varying width strips, using base R graphics.  Note that the 'ggdist' package
 offers a similar set of tools for illustrating distributions, based on
 'ggplot2'.

Package: r-cran-denvax
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-data.table, r-cran-testthat, r-cran-usethis, r-cran-devtools, r-cran-roxygen2, r-cran-jsonlite, r-cran-ggplot2, r-cran-cowplot, r-cran-directlabels, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-denvax_0.1.2-1.ca2004.1_all.deb
Size: 62556
MD5sum: a2377ec6b4cf6ecc068ab4ca2caa1825
SHA1: aa29e00b98ccf5f65fcaeb374070a58c701dc2a3
SHA256: 7d23ef74f8987788613ad6f6b343796e5fc119d3239ce9a037d304ce1c73ca46
SHA512: 4c18efac8761992fa8f5cd5b1266df7023231f1760ff02aaec56ec9a658b946da10e3264656901c144549bfb4c36bb165c714d72203f889b70af8b200e44d6b3
Homepage: https://cran.r-project.org/package=denvax
Description: CRAN Package 'denvax' (Simple Dengue Test and Vaccinate Cost Thresholds)
 Provides the mathematical model described by "Serostatus Testing & Dengue
 Vaccine Cost-Benefit Thresholds" in <doi:10.1098/rsif.2019.0234>.  Using the
 functions in the package, that analysis can be repeated using sample life
 histories, either synthesized from local seroprevalence data using other
 functions in this package (as in the manuscript) or from some other source.
 The package provides a vignette which walks through the analysis in the
 publication, as well as a function to generate a project skeleton for such
 an analysis.

Package: r-cran-deoptimr
Architecture: all
Version: 1.1-3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-deoptimr_1.1-3-1-1.ca2004.1_all.deb
Size: 73624
MD5sum: 91fa05d27f2bb4c8cf225536bc49976a
SHA1: ac1eac07f7bcb78c2976550e119ee2bbd55179d6
SHA256: 6b0704e8f3b79ba86a0ccc4b69fb3916cf7b8a44f7018d02454f31d74f2fd7f7
SHA512: 4302fe7e7ee771f617c2288c2d3f97cc7e9ed4f38dc693bc30b8a475b77a24081a7dc7fee3543126b2eda78d7a11e49f8957762aee6eebb63a6fcecece7ecf20
Homepage: https://cran.r-project.org/package=DEoptimR
Description: CRAN Package 'DEoptimR' (Differential Evolution Optimization in Pure R)
 Differential Evolution (DE) stochastic heuristic algorithms for global
 optimization of problems with and without general constraints.  The aim is
 to curate a collection of its variants that (1) do not sacrifice simplicity
 of design, (2) are essentially tuning-free, and (3) can be efficiently
 implemented directly in the R language.  Currently, it provides
 implementations of the algorithms 'jDE' by Brest et al. (2006)
 <doi:10.1109/TEVC.2006.872133> for single-objective optimization and 'NCDE'
 by Qu et al. (2012) <doi:10.1109/TEVC.2011.2161873> for multimodal
 optimization (single-objective problems with multiple solutions).

Package: r-cran-depcens
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dlm, r-cran-formula, r-cran-rootsolve, r-cran-survival, r-cran-matrixstats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-depcens_0.2.3-1.ca2004.1_all.deb
Size: 110672
MD5sum: 7b3e9beaf980a837c4cbcdfa7170beb9
SHA1: 4ad4b79e7319c1e98960056094b849cbabf8add1
SHA256: a2e26d825bbb478c2efa5b1207c68558bf338f363042009e446d0490d869b182
SHA512: 7ef92f56b47599557519a5f7aa0fa7da71a4d64f7fe8c286e478ccd2124da02761139fb5d33d37a04c9167bb0dbaf60e6cdcfc0537f701539b7119d63fdd4c88
Homepage: https://cran.r-project.org/package=DepCens
Description: CRAN Package 'DepCens' (Dependent Censoring Regression Models)
 Dependent censoring regression models for survival multivariate data. These
 models are based on extensions of the frailty models, capable to
 accommodating the dependence between failure and censoring times, with
 Weibull and piecewise exponential marginal distributions. Theoretical
 details regarding the models implemented in the package can be found in
 Schneider et al. (2019) <doi:10.1002/bimj.201800391>.

Package: r-cran-depcensoring
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-foreach, r-cran-doparallel, r-cran-pbivnorm, r-cran-mass, r-cran-nleqslv, r-cran-openmx, r-cran-matrix, r-cran-envstats, r-cran-mvtnorm, r-cran-rafalib, r-cran-rvinecopulib, r-cran-matrixcalc, r-cran-nloptr, r-cran-stringr, r-cran-numderiv, r-cran-copula, r-cran-r6, r-cran-lubridate, r-cran-splines2
Suggests: r-cran-testthat, r-cran-rkriging
Filename: pool/dists/focal/main/r-cran-depcensoring_0.1.7-1.ca2004.1_all.deb
Size: 908060
MD5sum: a93cefcd290672b98f76f7a9d81f5122
SHA1: 0b845faa514fc842bb294e59cb66e6ee07bf36f6
SHA256: 7991016fffcd79ba5d47319fa63dcc781c183ae1936ee23d9ec48ac2404a0213
SHA512: 96b208e8c527c90e6f3414212a34ad82a265a2ca0c7d463c45733a6a5234f19d7a080571e906bad697d1584ec8ff664083300a602a8700966a69df406edd0b1b
Homepage: https://cran.r-project.org/package=depCensoring
Description: CRAN Package 'depCensoring' (Statistical Methods for Survival Data with Dependent Censoring)
 Several statistical methods for analyzing survival data under various forms
 of dependent censoring are implemented in the package. In addition to
 accounting for dependent censoring, it offers tools to adjust for unmeasured
 confounding factors. The implemented approaches allow users to estimate the
 dependency between survival time and dependent censoring time, based solely
 on observed survival data. For more details on the methods, refer to Deresa
 and Van Keilegom (2021) <doi:10.1093/biomet/asaa095>, Czado and Van Keilegom
 (2023) <doi:10.1093/biomet/asac067>, Crommen et al. (2024)
 <doi:10.1007/s11749-023-00903-9>, Deresa and Van Keilegom (2024)
 <doi:10.1080/01621459.2022.2161387>, Rutten et al. (2024+)
 <doi:10.48550/arXiv.2403.11860> and Ding and Van Keilegom (2024).

Package: r-cran-depend.truncation
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-depend.truncation_3.0-1.ca2004.1_all.deb
Size: 234504
MD5sum: 13b681db9599ae922e0feafb3e79aad8
SHA1: 7769d330aa70940f73f721bf304c74c70c2bea5d
SHA256: 234462123cb7fd3ff55891a149ee64269eb762f40e87093c01286d85ae4a8ad0
SHA512: 24a2893b25509b6358d3a8a6dcb30c0fd7eccf771087d921c399de892409b6adf3f1413af29dbda4fb5b14ac5d1534d934fa47c9dcf685dbcb99fccc776286be
Homepage: https://cran.r-project.org/package=depend.truncation
Description: CRAN Package 'depend.truncation' (Statistical Methods for the Analysis of Dependently TruncatedData)
 Estimation and testing methods for dependently truncated data.
 Semi-parametric methods are based on Emura et al. (2011)<Stat Sinica
 21:349-67>, Emura & Wang (2012)<doi:10.1016/j.jmva.2012.03.012>, and Emura &
 Murotani (2015)<doi:10.1007/s11749-015-0432-8>.  Parametric approaches are
 based on Emura & Konno (2012)<doi:10.1007/s00362-014-0626-2> and Emura & Pan
 (2017)<doi:10.1007/s00362-017-0947-z>.  A regression approach is based on
 Emura & Wang (2016)<doi:10.1007/s10463-015-0526-9>. Quasi-independence tests
 are based on Emura & Wang (2010)<doi:10.1016/j.jmva.2009.07.006>.
 Right-truncated data for Japanese male centenarians are given by Emura &
 Murotani (2015)<doi:10.1007/s11749-015-0432-8>.

Package: r-cran-dependencyreviewer
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 768
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-desc, r-cran-cli, r-cran-dplyr, r-cran-knitr, r-cran-lintr, r-cran-pak, r-cran-pkgdepends, r-cran-readr, r-cran-stringr, r-cran-tidygraph, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-shiny, r-cran-shinyace, r-cran-ggplot2, r-cran-ggraph, r-cran-dt, r-cran-ggally, r-cran-here, r-cran-igraph, r-cran-withr, r-cran-network, r-cran-sna, r-cran-intergraph
Filename: pool/dists/focal/main/r-cran-dependencyreviewer_1.2.3-1.ca2004.1_all.deb
Size: 569964
MD5sum: 31fab50af5f3de58cbc9bcdf2bbfd0d1
SHA1: de12eb2445df95b6bc81e4afe380f97235a221b9
SHA256: 6df76a6cf918172767b1daf27759f4e12c58569b558e343ab88eb22399274aa3
SHA512: 35eff0aa80c23a5fa78ecf4a38ec23f7c589bb00d981b917d6e24577703b7634c8c8633bb82a02e16638b83e2951cc44073499ef0609963f344d11c85b911756
Homepage: https://cran.r-project.org/package=DependencyReviewer
Description: CRAN Package 'DependencyReviewer' (Tool Suite to Investigate Other Packages)
 Helps investigating other packages during code review by looking at their
 dependencies.

Package: r-cran-depigner
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desc, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-hmisc, r-cran-magrittr, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rms, r-cran-rprojroot, r-cran-stringr, r-cran-telegram.bot, r-cran-tibble, r-cran-tidyr, r-cran-usethis
Suggests: r-cran-covr, r-cran-spelling, r-cran-survival, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-depigner_0.9.1-1.ca2004.1_all.deb
Size: 162584
MD5sum: c4afc71eb08b4aec6a73c5fd6b6e1644
SHA1: 1342b0e864099d4773cb02675506578a6d6df5a8
SHA256: 626c922c7c6c50ca6e99ba42f77d02933b41b9aa32916d9cdad6fe051c5a7c04
SHA512: 83050fe240c3f4681da5fcefc84e5c67dc45b1d88d182bf1c59430874aa9ef05ee8ccfc444a29f03228e5b71e7b5b0482914b60a19aaa4d3296246a2a1c0c51a
Homepage: https://cran.r-project.org/package=depigner
Description: CRAN Package 'depigner' (A Utility Package to Help you Deal with "Pignas")
 Pigna [_pìn'n'a_] is the Italian word for pine cone.  In jargon, it is used
 to identify a task which is boring, banal, annoying, painful, frustrating
 and maybe even with a not so beautiful or rewarding result, just like the
 obstinate act of trying to challenge yourself in extracting pine nuts from a
 pine cone, provided that, in the end, you will find at least one inside it.
 Here you can find a backpack of functions to be used to solve small everyday
 problems of coding or analyzing (clinical) data, which would be normally
 solved using quick-and-dirty patches. You will be able to convert 'Hmisc'
 and 'rms' summary()es into data.frames ready to be rendered by 'pander' and
 'knitr'. You can access easy-to-use wrappers to activate essential but
 useful progress bars (from 'progress') into your loops or functionals. Easy
 setup and control Telegram's bots (from 'telegram.bot') to send messages or
 to divert error messages to a Telegram's chat. You also have some utilities
 helping you in the development of packages, like the activation of the same
 user interface of 'usethis' into your package, or call polite functions to
 ask a user to install other packages. Finally, you find a set of thematic
 sets of packages you may use to set up new environments quickly, installing
 them in a single call.

Package: r-cran-deplogo
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7178
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-deplogo_1.2.1-1.ca2004.1_all.deb
Size: 3484664
MD5sum: 4b73c0ce48d35ac152e83bdf17a47d79
SHA1: bb6ac80b5b78bae5d1b29c60dd6c14ba02c53fd0
SHA256: df0633505763b649c65140dc09409de79f02c560f2cf48ea2f53d38eb1043567
SHA512: 271227ac89f490ad8543b665d75f29fe1250f19f4dad87e80220328e9c0f2481f1b2bac2bee74f3de6a31c46bcbfbb6455fce9cdfb6e6a67d880e898640c9568
Homepage: https://cran.r-project.org/package=DepLogo
Description: CRAN Package 'DepLogo' (Dependency Logo)
 Plots dependency logos from a set of aligned input sequences.

Package: r-cran-deplotting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-patchwork, r-cran-rlang, r-cran-scales, r-cran-sf, r-cran-stringr, r-cran-data.table, r-cran-dt
Filename: pool/dists/focal/main/r-cran-deplotting_0.1.0-1.ca2004.1_all.deb
Size: 58108
MD5sum: 6ce95477c121c44948f818a82b863b29
SHA1: 30a18af244c0d2c0d07d9d46d7df3b65641850d8
SHA256: b4339923b3c43ae605c3d722cc090ee71b87e59f744a0167878314cb0e081ccb
SHA512: 3cd9a88a605bea806a7901ec707d2bd44dad385355bf1f9f6b1c4f1aff8b868f28aafc2671399d2464534011b0aac1c16c09c0e134cebd2f598a32a0cfbbb1d2
Homepage: https://cran.r-project.org/package=DEplotting
Description: CRAN Package 'DEplotting' (Visualization Tools for German Regional Data)
 Provides functions to download, process, and visualize German geospatial
 data across administrative levels, including states, districts, and
 municipalities.  Supports interactive tables and customized maps using
 built-in or external datasets.  Official shapefiles are accessed from the
 German Federal Agency for Cartography and Geodesy (BKG)
 <https://gdz.bkg.bund.de/>, licensed under dl-de/by-2-0
 <https://www.govdata.de/dl-de/by-2-0>.

Package: r-cran-depons2r
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3730
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-terra, r-cran-xml2, r-cran-jsonlite, r-cran-adehabitatlt
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-depons2r_1.2.6-1.ca2004.1_all.deb
Size: 3549728
MD5sum: 22fac114b1beae04ac817d9033f1cdde
SHA1: 7c329ded4b973e32c2e29c537b955499b1139d4b
SHA256: 7ec8ac705b6795830e7b66d744eb926710da7fb0e4b60bb129d53c5d79783b52
SHA512: eaaaaf721aeb52e61a3475cc1b58a401648864a36e326ce90568cd5b7ac321883d5e78b2886af1074bc58dafcf686a2373447d8943b1368f359558d03b3b66b8
Homepage: https://cran.r-project.org/package=DEPONS2R
Description: CRAN Package 'DEPONS2R' (Read, Plot and Analyse Output from the DEPONS Model)
 Methods for analyzing population dynamics and movement tracks simulated
 using the DEPONS model <https://www.depons.eu> (v.3.0), for manipulating
 input raster files, shipping routes and for analyzing sound propagated from
 ships.

Package: r-cran-depower
Architecture: all
Version: 2025.1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-mvnfast, r-cran-glmmtmb, r-cran-dplyr, r-cran-multidplyr, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-tinytest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-depower_2025.1.20-1.ca2004.1_all.deb
Size: 374524
MD5sum: a0d2c02f0a79121d07ba3f340510a904
SHA1: 32491902455d3e498d424dcdde76b19b89b28b37
SHA256: 8733f77e6560b2fd597c30bbf19a3e43c7b8e51b932eccc94f3fa2785ea1efd6
SHA512: 4899f2dfe043c1913526a220bacc072381ee58c6d662a917ae199e4adc6eb637a10e64966b93ec5d2e979c01339968df0707d568380ea0a54e438699f33bd570
Homepage: https://cran.r-project.org/package=depower
Description: CRAN Package 'depower' (Power Analysis for Differential Expression Studies)
 Provides a convenient framework to simulate, test, power, and visualize data
 for differential expression studies with lognormal or negative binomial
 outcomes. Supported designs are two-sample comparisons of independent or
 dependent outcomes. Power may be summarized in the context of controlling
 the per-family error rate or family-wise error rate. Negative binomial
 methods are described in Yu, Fernandez, and Brock (2017)
 <doi:10.1186/s12859-017-1648-2> and Yu, Fernandez, and Brock (2020)
 <doi:10.1186/s12859-020-3541-7>.

Package: r-cran-deprivater
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classint, r-cran-dplyr, r-cran-english, r-cran-ndi, r-cran-rlang, r-cran-sf, r-cran-sociome, r-cran-stringr, r-cran-tibble, r-cran-tidycensus, r-cran-tidyselect, r-cran-tidyr, r-cran-zipper
Suggests: r-cran-measurements, r-cran-testthat, r-cran-tigris
Filename: pool/dists/focal/main/r-cran-deprivater_0.1.0-1.ca2004.1_all.deb
Size: 270060
MD5sum: eedd84d00b858174f463035d3100a74e
SHA1: c229acfd36d47a2de849f71a518ce4850b0eb3ba
SHA256: 41c262e987f95cd050fdd63eebf4a1489ecc9a0cf2d626bc6a63f05d2dc00701
SHA512: 76e1bcbd26842aecaa3e1e2df1cae813d818fe9f74c445de94af8ae8c3034df43c67bfeb6df662c1433cd411282f95af3f3c3bc14de6b64e1f494c12fd3611fd
Homepage: https://cran.r-project.org/package=deprivateR
Description: CRAN Package 'deprivateR' (Calculating and Analyzing Measures of Deprivation in the UnitedStates)
 Provides a unified framework to building Area Deprivation Index (ADI),
 Social Vulnerability Index (SVI), and Neighborhood Deprivation Index (NDI)
 deprivation measures and accessing related data from the U.S. Census Bureau
 such as Gini coefficient data. Tools are also available for calculating
 percentiles, quantiles, and for creating clear map breaks for data
 visualization.

Package: r-cran-deps
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-renv, r-cran-jsonlite, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-deps_0.4.0-1.ca2004.1_all.deb
Size: 39988
MD5sum: 614b3d30d7231771cc913e95b8acea77
SHA1: d63b262eb45224c2e776ecda37ea09d2baec1096
SHA256: d9e23cf8bd9de7812307d747780ef2afe33f126c1df8569bdcad58c3c15a6582
SHA512: 71beebc0e3677073642676f4b7af267cc0a509ed1cec96f6398e6d2783ca6bb51550db53ea2d767dee12c6621b2b6394d2d96a819d1d732bb3bfd34270303053
Homepage: https://cran.r-project.org/package=deps
Description: CRAN Package 'deps' (Dependency Management with 'roxygen'-Style Comments)
 Manage your source code dependencies by decorating your existing R code with
 special, 'roxygen'-style comments.

Package: r-cran-depth.plot
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-depth.plot_0.1-1.ca2004.1_all.deb
Size: 29564
MD5sum: 04af9eaa94118e8b00ea1b084feb45c0
SHA1: 45d498715bae68b268784adcfff92d39c197db8a
SHA256: f563e08161a0f11c018555d49ee8b8bdbe40687b5709f84c6d026217e37c2b2e
SHA512: a90ba23c30b476a25214d6ac0e03a68b6807d7c009a25a9a8401774b45ea8be089e1e50c408057da66b2818f47d71a07e60dd1b021fb0e2e84c9e2ff93494b7a
Homepage: https://cran.r-project.org/package=depth.plot
Description: CRAN Package 'depth.plot' (Multivariate Analogy of Quantiles)
 Could be used to obtain spatial depths, spatial ranks and outliers of
 multivariate random variables. Could also be used to visualize DD-plots (a
 multivariate generalization of QQ-plots).

Package: r-cran-depthtools
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-depthtools_0.7-1.ca2004.1_all.deb
Size: 93024
MD5sum: 0966ef7c076b43917f9424f84285d6d5
SHA1: b8cda96ef2fc4ed77568bbfca1186ae3d1f21a6a
SHA256: 286ee564e07558f2ea27fb0de70a746febe9f128cd61237512a509eab852f021
SHA512: 0b7108cf40169cda868ad887e8157ca5b2e97a011c68011d4414d3da1fad6c6315b19f0f4738091183c2f8c8ddff96e761389c64349d4718dc704f21efbd318b
Homepage: https://cran.r-project.org/package=depthTools
Description: CRAN Package 'depthTools' (Depth Tools Package)
 Implementation of different statistical tools for the description and
 analysis of gene expression data based on the concept of data depth, namely,
 the scale curves for visualizing the dispersion of one or various groups of
 samples (e.g. types of tumors), a rank test to decide whether two groups of
 samples come from a single distribution and two methods of supervised
 classification techniques, the DS and TAD methods.  All these techniques are
 based on the Modified Band Depth, which is a recent notion of depth with a
 low computational cost, what renders it very appropriate for high
 dimensional data such as gene expression data.

Package: r-cran-der
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-der_1.1-1.ca2004.1_all.deb
Size: 41188
MD5sum: 99a3ffaa49a373f80adc08fb58a104fb
SHA1: 954f5232049b195e15fb1359fa70649c0779f2b7
SHA256: b8c85d5101dc05337b432168a01798891626494bdf4c74f038454702f8537031
SHA512: c393410c43fe31cb81633c3178393dcd629f0d08ed3fe3fa98aac1dfd925ff27bc57818fe62e4d9026dffd1e9d6478510a1be6cc0396b8b4755cd1dbe0084cf4
Homepage: https://cran.r-project.org/package=DER
Description: CRAN Package 'DER' (Income Polarization Index)
 The DER (or PaF) income polarization index as proposed by Duclos J. Y.,
 Esteban, J. and Ray D. (2004). "Polarization: concepts, measurement,
 estimation". Econometrica, 72(6): 1737--1772.
 <doi:10.1111/j.1468-0262.2004.00552.x>. The index may be computed for a
 single or for a range of values of the alpha-parameter. Bootstrapping is
 also available.

Package: r-cran-derezende.ferreira
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xts
Filename: pool/dists/focal/main/r-cran-derezende.ferreira_0.1.2-1.ca2004.1_all.deb
Size: 40408
MD5sum: d11b5d1c717f804ec9f72e1defa68143
SHA1: 78aa04b719a4e968ca6aef821f114ab5f39e5373
SHA256: 43704ff0ac89553daadd1da551407359156d2c3851d06c7341649b475e9454a5
SHA512: d5630e3d50cfe084f09406c8f474abf89526ed89c9adee5b08fd410dc765ef42eaa1df3c5b7c1e24fcf42fa9cb02e45988dac6964e5207dac5ec58068218a366
Homepage: https://cran.r-project.org/package=DeRezende.Ferreira
Description: CRAN Package 'DeRezende.Ferreira' (Zero Coupon Yield Curve Modelling)
 Modeling the zero coupon yield curve using the dynamic De Rezende and
 Ferreira (2011) <doi:10.1002/for.1256> five factor model with variable or
 fixed decaying parameters. For explanatory purposes, the package also
 includes various short datasets of interest rates for the BRICS countries.

Package: r-cran-deriv
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-deriv_4.2.0-1.ca2004.1_all.deb
Size: 153256
MD5sum: 870f9a9079a951a5ba93017c40734060
SHA1: 7688e5fe692ecdf15f8c14fd109046f61bf7b6bb
SHA256: b328990a569723366cec24f089acc0404e5d11e7171445192d14a3f15cf00fa4
SHA512: c984755b466c135c780981899e5ab61fe76d0fb5ce3590de4cf81c0fdd7fa4ac2aedf172bcc2481427e300f6253a0d00516dbd4745c1e55c79e886cf62c960c0
Homepage: https://cran.r-project.org/package=Deriv
Description: CRAN Package 'Deriv' (Symbolic Differentiation)
 R-based solution for symbolic differentiation. It admits user-defined
 function as well as function substitution in arguments of functions to be
 differentiated. Some symbolic simplification is part of the work.

Package: r-cran-derivmkts
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mnormt
Suggests: r-cran-markdown, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-pander, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-derivmkts_0.2.5-1.ca2004.1_all.deb
Size: 447080
MD5sum: f31ab93c4135e2b9e90d1b0c674ea4eb
SHA1: 1f1d82c29ae3e8520844b1c3341c87c4d3a82cdd
SHA256: bfc931af54200f6c4aa07ab36d179732db3a9ee3396e735a7384bf7ddbd10774
SHA512: bc18762445b193651df9c2f01abf1c5b964d8a53fc66edd5983c11d78f75ace22529b17ecfe6a1c7d30e4e11738141d7fa2126c4d1008e53c75d3e73117a5dd0
Homepage: https://cran.r-project.org/package=derivmkts
Description: CRAN Package 'derivmkts' (Functions and R Code to Accompany Derivatives Markets)
 A set of pricing and expository functions that should be useful in teaching
 a course on financial derivatives.

Package: r-cran-des
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-des_1.0.0-1.ca2004.1_all.deb
Size: 29012
MD5sum: 6d50eadc0af20833d6d2cbae383f9eee
SHA1: de1406ad6fa3aca8326e5a3e64bbd0f889d25a4c
SHA256: b63ecb4423e294ffabd0ad05523a8ad7321587fb51b16a34882a83903f89f740
SHA512: 7ac2d6cf41daeebbe808b429484d2cb2e16da56a867efd973e3304fc2d76cf316ac71f9678e1172b6b38382b2312af58bda4db1012aa97163fda9b84255e2fd9
Homepage: https://cran.r-project.org/package=DES
Description: CRAN Package 'DES' (Discrete Event Simulation)
 Discrete event simulation (DES) involves modeling of systems having
 discrete, i.e. abrupt, state changes. For instance, when a job arrives to a
 queue, the queue length abruptly increases by 1.  This package is an R
 implementation of the event-oriented approach to DES; see the tutorial in
 Matloff (2008)
 <http://heather.cs.ucdavis.edu/~matloff/156/PLN/DESimIntro.pdf>.

Package: r-cran-desa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-zoo, r-cran-ggplot2, r-cran-gridextra, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-cli, r-cran-fansi, r-cran-farver, r-cran-utf8, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-desa_1.0.0-1.ca2004.1_all.deb
Size: 308956
MD5sum: c78acb579b890560f2580b688cf8cfd6
SHA1: 27b1253d3a274f4e15fd7154606a399b78a4967a
SHA256: cc6fad3e2bd9c1db71311b807c82e8ec3c8bd1b108759cd13909e6b16524b3de
SHA512: c33ef09694c97e15ad8c58b8a3a7025c35afad23c842e997aeed3cc60f9c9e8505305fb770c058b54ef56e6b59bf72c898bce0efd4e3f5191949361da69ce5da
Homepage: https://cran.r-project.org/package=DESA
Description: CRAN Package 'DESA' (Detecting Epidemics using School Absenteeism)
 Provides a comprehensive framework for early epidemic detection through
 school absenteeism surveillance. The package offers three core
 functionalities: (1) simulation of population structures, epidemic spread,
 and resulting school absenteeism patterns; (2) implementation of
 surveillance models that generate alerts for impending epidemics based on
 absenteeism data and (3) evaluation of alert timeliness and accuracy through
 alert time quality metrics to optimize model parameters. These tools enable
 public health officials and researchers to develop and assess early warning
 systems before implementation. Methods are based on research published in
 Vanderkruk et al. (2023) <doi:10.1186/s12889-023-15747-z> and Ward et al.
 (2019) <doi:10.1186/s12889-019-7521-7>.

Package: r-cran-desc
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-r6
Suggests: r-cran-callr, r-cran-covr, r-cran-gh, r-cran-spelling, r-cran-testthat, r-cran-whoami, r-cran-withr
Filename: pool/dists/focal/main/r-cran-desc_1.4.3-1.ca2004.1_all.deb
Size: 326316
MD5sum: 02840a5b98eb726f0ae48fdcd4e028ff
SHA1: a8a3fd1fd801930e4ff6d083eec9aeca87619751
SHA256: 26b890a2f653c5eaa21b2d5c20060c9c218f037e61e3f13e2ed761c72497cd9e
SHA512: bd785bd248d2cc9377378f23fd29afaba341f13cea750613d8bfea4da8a88b4c7f866845542c20b5cd6bbd92f1e0113b4f1336a88426dcff6ff269ec305a2c13
Homepage: https://cran.r-project.org/package=desc
Description: CRAN Package 'desc' (Manipulate DESCRIPTION Files)
 Tools to read, write, create, and manipulate DESCRIPTION files.  It is
 intended for packages that create or manipulate other packages.

Package: r-cran-descide
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1418
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rentrez, r-bioc-complexheatmap, r-cran-circlize, r-bioc-stringdb, r-cran-data.table, r-cran-igraph, r-cran-ggplot2, r-cran-openxlsx, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-tibble, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-descide_1.0.1-1.ca2004.1_all.deb
Size: 707288
MD5sum: 77163a3fecde901fa9be5d94701da820
SHA1: f70b546a1eee7dc2341b13a3e04761c80e439e6d
SHA256: b6753aebc083292fe10b0c1599eef23dcfec6f73939e37566c00e213b5f0c24d
SHA512: eaa02698c8731616e3d629bff81015ad3ced23ac530f335cf6ed8863eaadcc420e7f197e09746d34cc0e366c662ef4fd050994aa957627868a0805670085bb51
Homepage: https://cran.r-project.org/package=DeSciDe
Description: CRAN Package 'DeSciDe' (Tool for Unbiased Literature Searching and Gene List Curation)
 Designed for genomic and proteomic data analysis, enabling unbiased PubMed
 searching, protein interaction network visualization, and comprehensive data
 summarization. This package aims to help users identify novel targets within
 their data sets based on protein network interactions and publication
 precedence of target's association with research context based on literature
 precedence. Methods in this package are described in detail in: Douglas
 (Year) <to-be-added DOI or link to the preprint>. Key functionalities of
 this package also leverage methodologies from previous works, such as: -
 Szklarczyk et al. (2023) <doi:10.1093/nar/gkac1000> - Winter (2017)
 <doi:10.32614/RJ-2017-066>.

Package: r-cran-descomponer
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-descomponer_1.6-1.ca2004.1_all.deb
Size: 287664
MD5sum: d2610e1d465b5b14d23bbd8e7ee715b4
SHA1: ac97ae6b9e79fad0ce38546544e3f99ed29817aa
SHA256: 39e7e58a7859ed29cd94c7417457b84187b6b37c68951e9a8805f14831e970c3
SHA512: e32d86d86cbbae35def8753469f1d66dab28477d2d882490a960b62a1553ae565f42e9ae0dcb3d05c50967b2f73d8d625555cc53a418499483b034ab5849a91d
Homepage: https://cran.r-project.org/package=descomponer
Description: CRAN Package 'descomponer' (Seasonal Adjustment by Frequency Analysis)
 Decompose a time series into seasonal, trend and irregular components using
 transformations to amplitude-frequency domain.

Package: r-cran-describedata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-broom, r-cran-stringr, r-cran-haven, r-cran-ggplot2, r-cran-lmtest, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-describedata_0.1.1-1.ca2004.1_all.deb
Size: 69192
MD5sum: eebd0c6c8cf64676653cc8738d51d746
SHA1: 7486b80566fb3a34b22657f47723624d8fab2bbf
SHA256: 9f3a15ae4548dfa80041e89da43968f99829b8917d6c27797e5c760caafece8d
SHA512: e6ffc8606da984d12058c3ce1c0a18f55b785745ed42b99e7da742c4c63e264cae577045561dd6e59a47edfbe0aad3ec5b2f3495a534229cd672ec3f3aeeb6dc
Homepage: https://cran.r-project.org/package=describedata
Description: CRAN Package 'describedata' (Miscellaneous Descriptive Functions)
 Helper functions for descriptive tasks such as making print-friendly
 bivariate tables, sample size flow counts, and visualizing sample
 distributions. Also contains 'R' approximations of some common 'SAS' and
 'Stata' functions such as 'PROC MEANS' from 'SAS' and 'ladder', 'gladder',
 and 'pwcorr' from 'Stata'.

Package: r-cran-describedf
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-e1071, r-cran-psych, r-cran-fnonlinear, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-describedf_0.2.1-1.ca2004.1_all.deb
Size: 27156
MD5sum: d39e60832dabb73a32252c140ccf3c45
SHA1: b9c3fde62621249a4c4537afc86401148707213e
SHA256: 3fa28a78e20e0b67b31652fbaff78858ba2004a5a3177e207ebe07ac11b84ebc
SHA512: 0c62ca25433c25fa4ed50a0b7005d3b5dd4a96f434e5b49178c7eea7d42afa63b97202914b2854104da7fe41eb00d500636e381280106746af4f8f5eb8a3ab87
Homepage: https://cran.r-project.org/package=DescribeDF
Description: CRAN Package 'DescribeDF' (Description of a Data Frame)
 Helps to describe a data frame in hand. Has been developed during PhD work
 of the maintainer. More information may be obtained from Garai and Paul
 (2023) <doi:10.1016/j.iswa.2023.200202>.

Package: r-cran-describedisplay
Architecture: all
Version: 0.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-plyr, r-cran-scales, r-cran-ggally
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-describedisplay_0.2.11-1.ca2004.1_all.deb
Size: 103552
MD5sum: a82b201c1be053b1fb9190d7e14491c9
SHA1: 3e76b943f7be7f87082f82e167d0c0179fd8af8f
SHA256: 0fb7b83cf185aef77a1b6afab798516607008b08f19b3720771e1a9184c81797
SHA512: a98ab8fdf0166ae7576a037fe0ce69a2af0edd806ced7b1787a1f388e4a8056f01c6728450446d6042f5262ffc9b8d4cc2a286408533706ffa71a407557725f1
Homepage: https://cran.r-project.org/package=DescribeDisplay
Description: CRAN Package 'DescribeDisplay' (An Interface to the 'DescribeDisplay' 'GGobi' Plugin)
 Produce publication quality graphics from output of 'GGobi' describe display
 plugin.

Package: r-cran-describer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-describer_0.2.0-1.ca2004.1_all.deb
Size: 17092
MD5sum: 00121cdfbdd48cbd83a963664e742410
SHA1: 6bde2da7fb84f7a7e13dd470b2cc8fd13d45c30c
SHA256: 15ba1ae8f038e0dc89d99589ac25a3c509bd523f1f87189418f0297b8de90db6
SHA512: fca8e1748dee7710aef6deb224c18d5ca2f1ff7793f2d8ad90e6f4a3ef617b3c2e13f4faa7ff9414d158994ce639304c9c36f48ce5e3303085c757695eb71973
Homepage: https://cran.r-project.org/package=describer
Description: CRAN Package 'describer' (Describe Data in R Using Common Descriptive Statistics)
 Allows users to quickly and easily describe data using common descriptive
 statistics.

Package: r-cran-descriptio
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-ggpattern, r-cran-paletteer, r-cran-ggally, r-cran-gtsummary, r-cran-cardx, r-cran-survey, r-cran-gt, r-cran-scales, r-cran-broom.helpers, r-cran-marginaleffects, r-cran-parameters
Filename: pool/dists/focal/main/r-cran-descriptio_1.4.1-1.ca2004.1_all.deb
Size: 454464
MD5sum: 7127663404d693f553b3aa2a26bdf2ab
SHA1: aa97c8b6bb694af479a5e36b6b84eae108af6653
SHA256: 5db44c4b24bd7cd8310f9f9b4f9bd364e74630b710360336ea0e6e9f70bcfe24
SHA512: ee0a4e0521842ffa3399f970fecf2a813352fd02791e045f7faed1be567b74309ef61e82d3f5eb48a72312f95b6ad4eb727892a40f4e681c8df07cf9815a9727
Homepage: https://cran.r-project.org/package=descriptio
Description: CRAN Package 'descriptio' (Descriptive Statistical Analysis)
 Description of statistical associations between variables : measures of
 local and global association between variables (phi, Cramér V, correlations,
 eta-squared, Goodman and Kruskal tau, permutation tests, etc.), multiple
 graphical representations of the associations between variables (using
 'ggplot2') and weighted statistics.

Package: r-cran-descriptiverepresentationcalculator
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-descriptiverepresentationcalculator_1.1.0-1.ca2004.1_all.deb
Size: 30084
MD5sum: e82b8393866857142dadbd0ebe85ae74
SHA1: 1c87f952f3c8670d45c660c556b34ae2bfef7b29
SHA256: 5dc5e8743cf70caa73861c4d97ca7b66e3aeb596b827b53748d9e2852dd83021
SHA512: 0ba7ea5a82016d6489b10f070f7a91f46c7f23996a385cf9f44d2f617c329af95d6e811ddb4b019e50cd82010607d521800b432d5356c703fc5f17e8e20248b3
Homepage: https://cran.r-project.org/package=DescriptiveRepresentationCalculator
Description: CRAN Package 'DescriptiveRepresentationCalculator' (Characterizing Observed and Expected Representation)
 A system for analyzing descriptive representation, especially for comparing
 the composition of a political body to the population it represents. Users
 can compute the expected degree of representation for a body under a random
 sampling model, the expected degree of representation variability, as well
 as representation scores from observed political bodies. The package is
 based on Gerring, Jerzak, and Oncel (2024) <doi:10.1017/S0003055423000680>.

Package: r-cran-descriptivestats.obeu
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-rcurl, r-cran-reshape
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-descriptivestats.obeu_1.3.2-1.ca2004.1_all.deb
Size: 140356
MD5sum: fe7741104faf066235284ee8adf9d07d
SHA1: a1edde5d5f3dbe62bf7b6bcbbd0b474050fa4585
SHA256: f0624e7444c7a4632d0d353812454bc3452a1a73acb02e57f6adb5e3eb580972
SHA512: 7e050266c072c6b1615e124c3450b0c78602b19e3c20a72621add65dfc715864edef5a45a3a74547efa0d583825977a83311d3f9f9bf528fc6888c9ea9be3559
Homepage: https://cran.r-project.org/package=DescriptiveStats.OBeu
Description: CRAN Package 'DescriptiveStats.OBeu' (Descriptive Statistics 'OpenBudgets.eu')
 Estimate and return the needed parameters for visualizations designed for
 'OpenBudgets.eu' <http://openbudgets.eu/> datasets. Calculate descriptive
 statistical measures in budget data of municipalities across Europe,
 according to the 'OpenBudgets.eu' data model. There are functions for
 measuring central tendency and dispersion of amount variables along with
 their distributions and correlations and the frequencies of categorical
 variables for a given dataset. Also, can be used generally to other
 datasets, to extract visualization parameters, convert them to 'JSON' format
 and use them as input in a different graphical interface.

Package: r-cran-descriptivewh
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-descriptivewh_1.0.3-1.ca2004.1_all.deb
Size: 28248
MD5sum: f7a960300c82681d09ad6ea9c3589780
SHA1: e418efdea9ac344572a977065485f655b975a4c3
SHA256: 5b21cfa27bd07096b1a4d49d6536d8843cc2e855d7fba7e66918b93e669b81ea
SHA512: a53e2898cdbe42f43678889a21c19805bf501fb2a5f7f4eb79a981b8e8e73da0e4758a8b10856af89eee27c3727977336b4436bcc39efa3869e68c9e701773bd
Homepage: https://cran.r-project.org/package=DescriptiveWH
Description: CRAN Package 'DescriptiveWH' (Descriptive Statistics)
 Exploratory analysis of a data base. Using the functions of this package is
 possible to filter the data set detecting atypical values (outliers) and to
 perform exploratory analysis through visual inspection or dispersion
 measures. With this package you can explore the structure of your data using
 several parameters at the same time joining statistical parameters with
 different graphics. Finally, this package aid to confirm or reject the
 hypothesis that your data structure presents a normal distribution.
 Therefore this package is useful to get a previous insight of your data
 before to carry out statistical analysis.

Package: r-cran-descriptr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-tidyr
Suggests: r-cran-covr, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-xplorerr
Filename: pool/dists/focal/main/r-cran-descriptr_0.6.0-1.ca2004.1_all.deb
Size: 313356
MD5sum: f31401d0d48b7b50374a56544044072e
SHA1: dc238e169fa892329bd6220d019f703a04a9e60c
SHA256: cbb17cd545ed7893984e2d08ac406ec9f7a8251ceca81bee65fd444213265dad
SHA512: c108f78a03ead4977ff34d117d2416f4c4dcfdbb0566668a99d7496d0216d11658a5b503f067210c9f0e1e77d46897619e52c2170fc1ef308ca374f0cc03f7aa
Homepage: https://cran.r-project.org/package=descriptr
Description: CRAN Package 'descriptr' (Generate Descriptive Statistics)
 Generate descriptive statistics such as measures of location, dispersion,
 frequency tables, cross tables, group summaries and multiple one/two way
 tables.

Package: r-cran-descrtab2
Architecture: all
Version: 2.1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1737
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlme, r-cran-exact2x2, r-cran-desctools, r-cran-dplyr, r-cran-rlang, r-cran-tibble, r-cran-stringr, r-cran-forcats, r-cran-magrittr, r-cran-scales, r-cran-cli, r-cran-kableextra, r-cran-flextable, r-cran-officer, r-cran-knitr, r-cran-rmarkdown, r-cran-haven, r-cran-hmisc
Suggests: r-cran-testthat, r-cran-covr, r-cran-tidyverse, r-cran-here, r-cran-shiny, r-cran-exact
Filename: pool/dists/focal/main/r-cran-descrtab2_2.1.16-1.ca2004.1_all.deb
Size: 491336
MD5sum: bb36d21f9c4e31c17c55852efe7cfefd
SHA1: 4b2ef7f5d06fcd375c8f5eb3b4af08640862bfbb
SHA256: 1ce278639eff8e36b77ad71df2ae26ab43a7609bdb963f94becf6536ae56d29b
SHA512: 3f79ca9fd2a05c666aea4f114af145865f6c9c462b37be6866eddc67c5f93835df736c15ba7382448231903eab5baa0ed82ac6592598266fcf19d92699dd8e3d
Homepage: https://cran.r-project.org/package=DescrTab2
Description: CRAN Package 'DescrTab2' (Publication Quality Descriptive Statistics Tables)
 Provides functions to create descriptive statistics tables for continuous
 and categorical variables.  By default, summary statistics such as mean,
 standard deviation, quantiles, minimum and maximum for continuous variables
 and relative and absolute frequencies for categorical variables are
 calculated. 'DescrTab2' features a sophisticated algorithm to choose
 appropriate test statistics for your data and provides p-values. On top of
 this, confidence intervals for group differences of appropriated summary
 measures are automatically produces for two-group comparison.  Tables
 generated by 'DescrTab2' can be integrated in a variety of document formats,
 including .html, .tex and .docx documents.  'DescrTab2' also allows printing
 tables to console and saving table objects for later use.

Package: r-cran-descstat
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect, r-cran-forcats, r-cran-cli, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-descstat_0.1-2-1.ca2004.1_all.deb
Size: 685980
MD5sum: d98f27c0759080148ffb75578164ecd8
SHA1: 7635a03fe91c923d0cb56df56b5a92cc725fe716
SHA256: 346d379494a5a6e45516f95b78cf63974cc084e19308aa0a2c1b43b552ac1a90
SHA512: 49df14355aa26fb9f3e368d0b08e2d0cc50077390ed495783273fd08882aa9ac3e4c3e4985cf05ab03b8b4fae1feb7cff4c4345e6205de2a3e4d36a884b4265b
Homepage: https://cran.r-project.org/package=descstat
Description: CRAN Package 'descstat' (Tools for Descriptive Statistics)
 A toolbox for descriptive statistics, based on the computation of frequency
 and contingency tables. Several statistical functions and plot methods are
 provided to describe univariate or bivariate distributions of factors,
 integer series and numerical series either provided as individual values or
 as bins.

Package: r-cran-descstatsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-moments
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-descstatsr_0.1.0-1.ca2004.1_all.deb
Size: 30428
MD5sum: 11de0e2ae95e46372e06c903711e46ff
SHA1: 6edc7a751adfa5f30b9b4f2da0e64a751f41590a
SHA256: 1386f89610801adda56e99cda77c7a160a3659dd07c206443024082741be5e5a
SHA512: d27e6836a90699cd35aeb107c8c134eef877d97252a7031d7caed3aaddf44fadb9f9a7cd9cb37a951a078d84c46e14bff1e051f61ec5461779312e6cf0137483
Homepage: https://cran.r-project.org/package=descstatsr
Description: CRAN Package 'descstatsr' (Descriptive Univariate Statistics)
 It generates summary statistics on the input dataset using different
 descriptive univariate statistical measures on entire data or at a group
 level. Though there are other packages which does similar job but each of
 these are deficient in one form or other, in the measures generated, in
 treating numeric, character and date variables alike, no functionality to
 view these measures on a group level or the way the output is represented.
 Given the foremost role of the descriptive statistics in any of the
 exploratory data analysis or solution development, there is a need for a
 more constructive, structured and refined version over these packages. This
 is the idea behind the package and it brings together all the required
 descriptive measures to give an initial understanding of the data quality,
 distribution in a faster,easier and elaborative way.The function brings an
 additional capability to be able to generate these statistical measures on
 the entire dataset or at a group level. It calculates measures of central
 tendency (mean, median), distribution (count, proportion), dispersion (min,
 max, quantile, standard deviation, variance) and shape (skewness, kurtosis).
 Addition to these measures, it provides information on the data type, count
 on no. of rows, unique entries and percentage of missing entries. More
 importantly the measures are generated based on the data types as required
 by them,rather than applying numerical measures on character and data
 variables and vice versa. Output as a dataframe object gives a very neat
 representation, which often is useful when working with a large number of
 columns. It can easily be exported as csv and analyzed further or presented
 as a summary report for the data.

Package: r-cran-desctable
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1884
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pander, r-cran-dplyr, r-cran-dt, r-cran-htmltools, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-survival
Filename: pool/dists/focal/main/r-cran-desctable_0.3.0-1.ca2004.1_all.deb
Size: 318844
MD5sum: 051eb6d3a0153b0b183c2a36811d3312
SHA1: 5d94f7a2995097de1ed5e4091b9420e8668f34a8
SHA256: 1fe7a6ebf68d47e70005f041827eb9ca7da0953a65370e72324dbab0b588f9e7
SHA512: 1c46de71836b384d7b1b59d9bbd3304673c065d89d5adf511273346ad59f1025d754ddaa8b6a4c78e0c2658b1236739d4d95587a26eb9e7d7ef5f63235cc6636
Homepage: https://cran.r-project.org/package=desctable
Description: CRAN Package 'desctable' (Produce Descriptive and Comparative Tables Easily)
 Easily create descriptive and comparative tables.  It makes use and
 integrates directly with the tidyverse family of packages, and pipes.
 Tables are produced as (nested) dataframes for easy manipulation.

Package: r-cran-desctoolsaddins
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-rstudioapi, r-cran-manipulate, r-cran-writexl, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-desctoolsaddins_1.12-1.ca2004.1_all.deb
Size: 330036
MD5sum: 38e4e855ebecdee0762c996866cbd00a
SHA1: c9a0f905bd1a5451ff1cfd06609adb5e4bfec7d7
SHA256: 23a654af2d22235cb8da88db7a99e3439b27f7a3f387bf10abf41a266487bd75
SHA512: 48e9265e3fc295bb70dbb3ca2ab6abc6cc0d735afc9cf3d4ab209224172f614dc16d5bb97161476b9dcf6c748973734684334bb857cdcafea41bda77cacf8826
Homepage: https://cran.r-project.org/package=DescToolsAddIns
Description: CRAN Package 'DescToolsAddIns' (Interactive Functions to be Used as Shortcuts in 'RStudio')
 'RStudio' as of recently offers the option to define addins and assign
 shortcuts to them. This package contains addins for a few most frequently
 used functions in a data scientist's (at least mine) daily work (like str(),
 example(), plot(), head(), view(), Desc()). Most of these functions will use
 the current selection in the editor window and send the specific command to
 the console while instantly executing it. Assigning shortcuts to these
 addins will save you quite a few keystrokes.

Package: r-cran-deseasonalize
Architecture: all
Version: 1.35-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-fitar
Filename: pool/dists/focal/main/r-cran-deseasonalize_1.35-1.ca2004.1_all.deb
Size: 113704
MD5sum: 63cab40b56389387af83f6b7c23c10d5
SHA1: c350a3c537f1639b33bd8f717d61e18d275f7486
SHA256: 905aa32b11b52412192446f3c097e06e1b9622dc12d9df99807cc3b30471cc5c
SHA512: dd802651bcbea2208b1e1cd5584d238b40991d86758034486037cf1f8fc11812c6d0914d330d2a47ae1c217c00595fcd5eb9eb640d0b3fe2bee6af71cf9f1a60
Homepage: https://cran.r-project.org/package=deseasonalize
Description: CRAN Package 'deseasonalize' (Optimal deseasonalization for geophysical time series using ARfitting)
 Deseasonalize daily or monthly time series.

Package: r-cran-design.parameters
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-design.parameters_0.1.0-1.ca2004.1_all.deb
Size: 10380
MD5sum: 86e373b764f2a8afd1b7be213ae14c1e
SHA1: 60f51799032a13aa0f3355abf53eecc285e1d8f6
SHA256: b4dd6ed342eb43168578a1207bb89ec4960b0acdd0b5d368c8de9a8a2641fe5b
SHA512: 84869f096a43ac8877719e02a0dc4111111078fac5f820b2b560b79040932e2a7528cde2112cc8fbe521c9424ec105dc29c8b1250b6c030447abd0b4315a44fe
Homepage: https://cran.r-project.org/package=Design.parameters
Description: CRAN Package 'Design.parameters' (Parameters of the Experimental Designs)
 Here, a function has been developed to generate parameters of the input
 designs, as well as incidence matrices. This is a general function that can
 be used to investigate the characterization properties of any block design.

Package: r-cran-designctpb
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-mnormt, r-cran-fields, r-cran-plotly, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-designctpb_1.1.3-1.ca2004.1_all.deb
Size: 56808
MD5sum: 005b7cf1bf4e56c0d3c56a5c717e456e
SHA1: 3b7e8f4d575536f5647a01143293a787398df8a3
SHA256: 697adf24e3607aa880fe166ea26165e282f173c63f2f42fd9c9f8ba4adace260
SHA512: 1a8064b0345abe12efa895780629b1d38a58f19387ab78552fd60d07d73b91db1a9b4cda9de93605e1ef09e1f2e911901fae4bad9f94eb27112a39603da29b7c
Homepage: https://cran.r-project.org/package=DesignCTPB
Description: CRAN Package 'DesignCTPB' (Design Clinical Trials with Potential Biomarker Effect)
 Applying 'CUDA' 'GPUs' via 'Numba' for optimal clinical design. It allows
 the user to utilize a 'reticulate' 'Python' environment and run intensive
 Monte Carlo simulation to get the optimal cutoff for the clinical design
 with potential biomarker effect, which can guide the realistic clinical
 trials.

Package: r-cran-designer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bs4dash, r-cran-bslib, r-cran-cicerone, r-cran-config, r-cran-fontawesome, r-cran-golem, r-cran-htmltools, r-cran-jsonlite, r-cran-rappdirs, r-cran-shinipsum, r-cran-shiny, r-cran-shinyscreenshot
Suggests: r-cran-chromote, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-designer_0.3.0-1.ca2004.1_all.deb
Size: 432972
MD5sum: bb6328369567126da9cb2acc9663e12a
SHA1: 25206401b874c70c47a1bdbda52ed903f3a5b056
SHA256: 93a1938e48afbbf8788591071bbdcf0f67349263550c4152f962995bd80a350e
SHA512: f1d48d7a1fdf13d4fee26056b2368b84a0de74ebd8dbd2eab5d417f36d5a0dd67024971216d9fc2bd0ba4972001425572bc6d93671f1413573257a329c994498
Homepage: https://cran.r-project.org/package=designer
Description: CRAN Package 'designer' ('Shiny' UI Prototype Builder)
 A 'shiny' application that enables the user to create a prototype UI, being
 able to drag and drop UI components before being able to save or download
 the equivalent R code.

Package: r-cran-designgg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-designgg_1.1-1.ca2004.1_all.deb
Size: 152936
MD5sum: 8741d699abe6adea26e7d5af42c857b2
SHA1: d27149265b48890942dc3985a0c3a47b5774069f
SHA256: 12ec33187aeefd73da3e38d261bbd7f5622fb4dd8521bc0b203d565432574397
SHA512: 3d619be5a5dd759c38f9c5fcf87e137288c05646f8de9f6a1ed3672606abf896c4ec866ba075ffb3ddedfb4f75a1a6e0c3887cd43d59c4d424d589ef151fb253
Homepage: https://cran.r-project.org/package=designGG
Description: CRAN Package 'designGG' (Computational tool for designing genetical genomics experiments)
 The package provides R scripts for designing genetical genomics experiments.

Package: r-cran-designit
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4631
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-scales, r-cran-tibble, r-cran-tidyr, r-cran-assertthat, r-cran-stringr, r-cran-r6, r-cran-data.table
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-pkgdown, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-gt, r-cran-bench, r-bioc-osat, r-cran-tidyverse, r-cran-printr, r-cran-devtools, r-cran-ggpattern, r-cran-cowplot, r-cran-bestnormalize, r-cran-here
Filename: pool/dists/focal/main/r-cran-designit_0.5.0-1.ca2004.1_all.deb
Size: 2746944
MD5sum: 8e79f6019562ee5c730bbe9d5e3e6976
SHA1: ce02e68dbd1ecaf25be9a8eea7a8b75eb83f0fd4
SHA256: 2c130e3ca3a4324771cc3b6ca6c1f60f9e05b904a6973721722d46ce6cd58b6d
SHA512: 0f1a0e976d8a5ff4b0720e3bb8085504136d25c5172c11b5f218498ad727686e63741a1ef118b1182356f8c78058a5096ac45ed29e1bae02b16d5fadcf5dc0c2
Homepage: https://cran.r-project.org/package=designit
Description: CRAN Package 'designit' (Blocking and Randomization for Experimental Design)
 Intelligently assign samples to batches in order to reduce batch effects.
 Batch effects can have a significant impact on data analysis, especially
 when the assignment of samples to batches coincides with the contrast groups
 being studied. By defining a batch container and a scoring function that
 reflects the contrasts, this package allows users to assign samples in a way
 that minimizes the potential impact of batch effects on the comparison of
 interest. Among other functionality, we provide an implementation for OSAT
 score by Yan et al. (2012, <doi:10.1186/1471-2164-13-689>).

Package: r-cran-designlibrary
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-declaredesign, r-cran-randomizr, r-cran-fabricatr, r-cran-estimatr, r-cran-generics, r-cran-rlang, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-designlibrary_0.1.10-1.ca2004.1_all.deb
Size: 165080
MD5sum: 8ef061db57400422e73055649288dd4d
SHA1: fce1a9bfef80f45527498805d0c923c2a882d3b1
SHA256: e6e1c1ec6ba050e783971a64afb241bc0395464774238d7b71013a1388ae0e50
SHA512: 3bb73c0d96bb52a2e83694518e836fe4d71dc3a662082dd2edfe281b21b924c2425c3559f2a0274fb1a685506a9a8cc14700dcc038d7ba84cf44ffde50d91865
Homepage: https://cran.r-project.org/package=DesignLibrary
Description: CRAN Package 'DesignLibrary' (Library of Research Designs)
 A simple interface to build designs using the package 'DeclareDesign'.  In
 one line of code, users can specify the parameters of individual designs and
 diagnose their properties. The designers can also be used to compare
 performance of a given design across a range of combinations of parameters,
 such as effect size, sample size, and assignment probabilities.

Package: r-cran-designmatch
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-slam, r-cran-highs
Filename: pool/dists/focal/main/r-cran-designmatch_0.5.4-1.ca2004.1_all.deb
Size: 236620
MD5sum: 592be69fe4aafbde8c3add95e6ae3939
SHA1: 3a739af21f9a1162508ae416e43e045e75be68e9
SHA256: bbe902e0584ff589a99bc4bfb7065df5a42b75acd9fd80389c6c999c40f40e7c
SHA512: 6aefeb754f85c88285a4040311b769ce781ac2da479d6562b10cb24debb190ba36ccf5fa3f40d8666b9be38ba7b7cd6f763964e357406b5704b3a023ddfaad20
Homepage: https://cran.r-project.org/package=designmatch
Description: CRAN Package 'designmatch' (Matched Samples that are Balanced and Representative by Design)
 Includes functions for the construction of matched samples that are balanced
 and representative by design.  Among others, these functions can be used for
 matching in observational studies with treated and control units, with cases
 and controls, in related settings with instrumental variables, and in
 discontinuity designs.  Also, they can be used for the design of randomized
 experiments, for example, for matching before randomization.  By default,
 'designmatch' uses the 'highs' optimization solver, but its performance is
 greatly enhanced by the 'Gurobi' optimization solver and its associated R
 interface.  For their installation, please follow the instructions at
 <https://www.gurobi.com/documentation/quickstart.html> and
 <https://www.gurobi.com/documentation/7.0/refman/r_api_overview.html>.  We
 have also included directions in the gurobi_installation file in the inst
 folder.

Package: r-cran-designr
Architecture: all
Version: 0.1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1390
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-tibble, r-cran-crossdes, r-cran-dplyr, r-cran-lme4
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-writexl, r-cran-lmertest, r-cran-afex, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-designr_0.1.13-1.ca2004.1_all.deb
Size: 884660
MD5sum: 39af29af2a7f6fa59604b4742a5801c2
SHA1: abbb09caa9626e3d3be12e0cce15b1d2869b914a
SHA256: 7a016bbf095f9b726a06b37c70bc303cdf0a45599f37b5b42e6cb2507ae6968d
SHA512: e6f7f2871da9267e119602c81760222852012dc763358be751b4f49704783e4a6cbf88210fbf6a634b44af3567dc86f05e602a760f09646022a4127fab85194e
Homepage: https://cran.r-project.org/package=designr
Description: CRAN Package 'designr' (Balanced Factorial Designs)
 Generate balanced factorial designs with crossed and nested random and fixed
 effects <https://github.com/mmrabe/designr>.

Package: r-cran-designsize
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-designsize_0.1.0-1.ca2004.1_all.deb
Size: 53636
MD5sum: db537b4b15e1c8abc1ac66aeb9451c22
SHA1: 5c4dc92d9059da0c85ded711c17999059793a4c8
SHA256: 9598a634fdc72313bf74f56bf3f77b8fe466d00e085cc10df2ef8d7e9021ed9d
SHA512: 75f95d7d2314000300d20048272a546930021041b1dd89507c129196cce3f8cac1de623792c1faf2fd60f7760057d89da634c09f09804055689af01e3b0c6106
Homepage: https://cran.r-project.org/package=designsize
Description: CRAN Package 'designsize' (Sample Size Calculation of Various Study Designs)
 Different sample size calculations with different study designs.  These
 techniques are explained by Chow (2007) <doi:10.1201/9781584889830>.

Package: r-cran-desir
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-desir_1.2.2-1.ca2004.1_all.deb
Size: 498644
MD5sum: ac065c98ce8209968be90c00ffc79b7b
SHA1: d9f00ffdc8469ef22d7f8dc8045b9fc2378cef93
SHA256: 0040f28e1d1f9c4fdf4ce7bc0db82aad072fcc8bf651b9c6109a350550727206
SHA512: def4124aad618714b099d1d33bb99130a9622ee941c64f57e0d90bbcc8ca4d67efaf60b2fdd6e6169ee5d1491de309be35cd9459d36632f6f29cc871fb6252a0
Homepage: https://cran.r-project.org/package=desiR
Description: CRAN Package 'desiR' (Desirability Functions for Ranking, Selecting, and IntegratingData)
 Functions for (1) ranking, selecting, and prioritising genes, proteins, and
 metabolites from high dimensional biology experiments, (2) multivariate hit
 calling in high content screens, and (3) combining data from diverse
 sources.

Package: r-cran-desirability2
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-desirability2_0.0.1-1.ca2004.1_all.deb
Size: 51632
MD5sum: 40f70a4a5f4532e29ca4a83b17f34907
SHA1: a912d4b9fc9b62102888203c040b73bca5caa1c1
SHA256: 4d1523c6c5195514cefb74e3cb0b84dff363c65dd2cb926ef2cd4b303b8036ba
SHA512: 743a9b3d01b76becf09cd6c130e8b9d56073832f1a511b45d682d9cd24619f7c437efb96178c3564ae50bbd7f4c8dc751df2a8f9fe96d976e2f361d076dafff6
Homepage: https://cran.r-project.org/package=desirability2
Description: CRAN Package 'desirability2' (Desirability Functions for Multiparameter Optimization)
 In-line functions for multivariate optimization via desirability functions
 (Derringer and Suich, 1980, <doi:10.1080/00224065.1980.11980968>) with easy
 use within 'dplyr' pipelines.

Package: r-cran-desirability
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-desirability_2.1-1.ca2004.1_all.deb
Size: 324752
MD5sum: 6f926e7829a402e0eddddc2a31248947
SHA1: f16d50cfb78a58f38abcff269df8151fe9805dc9
SHA256: 5b6a2ac1826ff755db922340d9711f09da037f808eba5b8619ad4509e29175c8
SHA512: c026cf5d9988dab8eaf190c149a2845a8d785fa86eb87e68bb0865f9940c44ad1a6d0494715ddc26d78def896b1b3cc82653b83d3c586105b262a01a632e4999
Homepage: https://cran.r-project.org/package=desirability
Description: CRAN Package 'desirability' (Function Optimization and Ranking via Desirability Functions)
 S3 classes for multivariate optimization using the desirability function by
 Derringer and Suich (1980).

Package: r-cran-desk
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-rstudioapi
Suggests: r-cran-wooldridge
Filename: pool/dists/focal/main/r-cran-desk_1.1.2-1.ca2004.1_all.deb
Size: 576908
MD5sum: 5b9a0fa8df5fd98a5768b6faecef2ea8
SHA1: 72f53fe887508a12c5cc385c8f916f2584e80b26
SHA256: a4eda0f8baed7ea422f17fc6752ddc6ea7f0f64e02bd619e71309f619d8073d8
SHA512: c72637dae8eaefd0e0961dd477e4d53048507df69fcd57f705cd56ff8c3bb59247daacf2d200fb291ec7b11d70c0b7af8ea03a2de66bfe503a2a78ef0e4600fe
Homepage: https://cran.r-project.org/package=desk
Description: CRAN Package 'desk' (Didactic Econometrics Starter Kit)
 Written to help undergraduate as well as graduate students to get started
 with R for basic econometrics without the need to import specific functions
 and datasets from many different sources. Primarily, the package is meant to
 accompany the German textbook Auer, L.v., Hoffmann, S., Kranz, T. (2024,
 ISBN: 978-3-662-68263-0) from which the exercises cover all the topics from
 the textbook Auer, L.v. (2023, ISBN: 978-3-658-42699-6).

Package: r-cran-desnowball
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 805
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clue, r-cran-combinat, r-cran-mass, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-desnowball_1.0-1.ca2004.1_all.deb
Size: 793284
MD5sum: 3320ca76aae48cf1c1028f63156b9669
SHA1: 4894f7bbef0b9613b898b5c3717103035c591ca0
SHA256: 25f617d82690e325de0e0d0d9eac2f1c5b4ea94d07f4ebb9b44b9a64a9b71b53
SHA512: ac0168738a623a68139ed25165b269d49e1e369703f9d7abf24803c55a280d2fe2652c5294a8d28fc5d85176accfe5b23c6f9d99587fc46501a914a495d60cc8
Homepage: https://cran.r-project.org/package=DESnowball
Description: CRAN Package 'DESnowball' (Bagging with Distance-based Regression for Differential GeneExpression Analyses)
 This package implements a statistical data mining method to compare whole
 genome gene expression profiles, with respect to the presence of a recurrent
 genetic disturbance event, to identify the affected target genes.

Package: r-cran-despair
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-despair_0.1.1-1.ca2004.1_all.deb
Size: 112944
MD5sum: d6811f11c00a8be49ea3dbb4a958674f
SHA1: 251a8cfd7b676c59b122f66859ff51f1a34a8c63
SHA256: 499b99e7085620120ed164e89d4ce16a99e05b911ab2e004f4012780d11249a1
SHA512: fd0e695c60069a953473007de5ede4572392b2a6ad666de12ff0a50459bb4dfe56ab5737c19cd6d50e5e12d0215518c17bfd9e29df30a129c4d702fa36a2590b
Homepage: https://cran.r-project.org/package=despair
Description: CRAN Package 'despair' (Motivational Quotes and Shakespearean Bard–bits for PersonalProjects)
 Generate motivational quotes and Shakespearean word combinations (bard–bits)
 that a user can consider for their personal projects. Each of the package
 functions takes two arguments, cat which default to any, and a a numeric or
 character seed to ensure reproducible results.

Package: r-cran-desplot
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-lattice, r-cran-reshape2, r-cran-rlang
Suggests: r-cran-agridat, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-desplot_1.10-1.ca2004.1_all.deb
Size: 244616
MD5sum: 3970a5acf1aa8ef57a6cac3c6ff25fa1
SHA1: 3abb1260ee617beb9312b6a35508ccb824581bad
SHA256: 25841536ed5d1966e58d10e9d2da5544c7f30bda6f4d29619a16543a33f53547
SHA512: 69b590d7b7da1d6beffe26123ffced0a208f0af014803ec0faf5d17621e6bb60d4b8f15665a1fdac817ac48c5ce45c9ce06c5d48d95ca4ec3626500c734d3fb8
Homepage: https://cran.r-project.org/package=desplot
Description: CRAN Package 'desplot' (Plotting Field Plans for Agricultural Experiments)
 A function for plotting maps of agricultural field experiments that are laid
 out in grids.  See Ryder (1981) <doi:10.1017/S0014479700011601>.

Package: r-cran-details
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipr, r-cran-desc, r-cran-xfun, r-cran-htmltools, r-cran-knitr, r-cran-png, r-cran-withr, r-cran-httr
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-details_0.4.0-1.ca2004.1_all.deb
Size: 67844
MD5sum: fce37dec15d2c56a575910256c69fb9a
SHA1: cc2056e7fe8edfced3552e172aadaecf3e9db39f
SHA256: fb18abe84302876c1c6b1e53eb34dae562ddcb81d1f7abac2a9f32cc8194944d
SHA512: 2dbbc572c43e117d725e38ed5cba6a89cf8434735696b4cb572e08edb0f510c5fe49cd43cc35708035fb74fca57f39f211c01b0bca43362fee36c93137d464df
Homepage: https://cran.r-project.org/package=details
Description: CRAN Package 'details' (Create Details HTML Tag for Markdown and Package Documentation)
 Create a details HTML tag around R objects to place in a Markdown,
 'Rmarkdown' and 'roxygen2' documentation.

Package: r-cran-detect
Architecture: all
Version: 0.4-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula, r-cran-pbapply, r-cran-matrix
Suggests: r-cran-dclone, r-cran-dcmle
Filename: pool/dists/focal/main/r-cran-detect_0.4-6-1.ca2004.1_all.deb
Size: 377888
MD5sum: 267797e827432c88449784c63c7087c0
SHA1: 12fa7ef1535add48988c8cba456898d9993d5bf2
SHA256: 2a333ae3e435db443cf09a50c0321937cfee6daa1051be40eee1d35d5580b366
SHA512: ce8c125ac75f9f86476847d9d36a3428e80f8d10f150944bfc018926f98ee5cf1094db9e157abf72d668185ea815453ac6d04b33745e0c2ea118108cdb1d514d
Homepage: https://cran.r-project.org/package=detect
Description: CRAN Package 'detect' (Analyzing Wildlife Data with Detection Error)
 Models for analyzing site occupancy and count data models with detection
 error, including single-visit based models, conditional distance sampling
 and time-removal models.  Package development was supported by the Alberta
 Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

Package: r-cran-detectnorm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nleqslv, r-cran-ggplot2, r-cran-truncnorm, r-cran-rdpack, r-cran-psych
Suggests: r-cran-knitr, r-cran-metafor, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-detectnorm_1.0.0-1.ca2004.1_all.deb
Size: 256796
MD5sum: 83aee874d8ac16bd347c049e85a6450c
SHA1: 148365beccae263a93ef78a61a493d0becc4661b
SHA256: 0660eb02c1c7dc07275126850ddbac937bc09c2b5c7bae35dead5e72997a412c
SHA512: 078f4f23e4e0c34761f2f5983106f0ebd280edad62df32774dffc08ce2b72f1b5517fc97dcab91172da3cf6f75375f195b2a40c32a1bf1ede1dd57becd2edc0a
Homepage: https://cran.r-project.org/package=detectnorm
Description: CRAN Package 'detectnorm' (Detect Nonnormality in Meta-Analysis without Raw Data)
 Non-normality could greatly distort the meta-analytic results, according to
 the simulation in Sun and Cheung (2020) <doi: 10.3758/s13428-019-01334-x>.
 This package aims to detect non-normality for two independent groups with
 only limited descriptive statistics, including mean, standard deviation,
 minimum, and maximum.

Package: r-cran-detector
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat, r-cran-generator
Filename: pool/dists/focal/main/r-cran-detector_0.1.0-1.ca2004.1_all.deb
Size: 22728
MD5sum: 3e86d847db7b7304ebabd5f8253f808d
SHA1: 9ce8b71fe3c3a08b1ad05e13dd7a47e713a269d1
SHA256: f9c918e94eeea021368985966771f3aa63abc25163664965a5c6a069d607e8da
SHA512: 66ba24447b6014ba1d03377a4754a8b9fb84d0184348120a10fa47770c046f49e35a9bb8ec65656bbd0d39b7ea16cf5790372c8f591c36106985dd14e3f0e07c
Homepage: https://cran.r-project.org/package=detector
Description: CRAN Package 'detector' (Detect Data Containing Personally Identifiable Information)
 Allows users to quickly and easily detect data containing Personally
 Identifiable Information (PII) through convenience functions.

Package: r-cran-detectors
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-detectors_0.1.0-1.ca2004.1_all.deb
Size: 152900
MD5sum: a5a76def68e7441155356efe99e43122
SHA1: 180132ee9bba40255929aac547a261a3643ea290
SHA256: 09e543121a1691cc6bdd3517ed51c31a1bc521e3d37663ac6a499b56627acf9c
SHA512: 75437c5127b089e35e31d9ab1c5663a71a56f6397a45ecfe89ba4b7edf3272f622e175c77c602730cd19b389996e7fc5a9f2d5a712d69e671d13bd4ad2314573
Homepage: https://cran.r-project.org/package=detectors
Description: CRAN Package 'detectors' (Prediction Data from GPT Detectors)
 Researchers carried out a series of experiments passing a number of essays
 to different GPT detection models. Juxtaposing detector predictions for
 papers written by native and non-native English writers, the authors argue
 that GPT detectors disproportionately classify real writing from non-native
 English writers as AI-generated.

Package: r-cran-detectr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-signal, r-cran-lavaan, r-cran-doparallel, r-cran-glasso, r-cran-logconcdead, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-detectr_0.3.0-1.ca2004.1_all.deb
Size: 264064
MD5sum: 91fafecde1bd29391cfd45dccbed7572
SHA1: 5a78dd134f9922c84bc1526f6210432b1eb0e254
SHA256: c08ff7a656cc2a4f2800829fa8c409d3ef842dd206b16e9c11098a4597c11b9d
SHA512: 2eadb334783ee131f156cc433f4aeffbefd2ec0ac3ce57e35d2073ff55418587b3dd67f8afa128db4bd53d6018fdce8d79b75d418e8b81a5813340d25d444294
Homepage: https://cran.r-project.org/package=detectR
Description: CRAN Package 'detectR' (Change Point Detection)
 Time series analysis of network connectivity. Detects and visualizes change
 points between networks.  Methods included in the package are discussed in
 depth in Baek, C., Gates, K. M., Leinwand, B., Pipiras, V. (2021) "Two
 sample tests for high-dimensional auto-covariances"
 <doi:10.1016/j.csda.2020.107067> and Baek, C., Gampe, M., Leinwand B.,
 Lindquist K., Hopfinger J. and Gates K. (2023) “Detecting functional
 connectivity changes in fMRI data” <doi:10.1007/s11336-023-09908-7>.

Package: r-cran-detectseparation
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-roi, r-cran-roi.plugin.lpsolve, r-cran-lpsolveapi, r-cran-pkgload
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-brglm2, r-cran-aer, r-cran-tinytest, r-cran-roi.plugin.ecos, r-cran-roi.plugin.glpk, r-cran-roi.plugin.alabama, r-cran-roi.plugin.neos
Filename: pool/dists/focal/main/r-cran-detectseparation_0.3-1.ca2004.1_all.deb
Size: 138796
MD5sum: b25a57d22879eabd672c0a890c738601
SHA1: 4c28d799be9969e617afbaef9c0b3f93ab70fd45
SHA256: 23026cf497c414b2ab68d7ee80788eff826e72c2729059cdac07ff5e47a541a8
SHA512: f1fbf74f9fcc356438d339da95bc70e76179611d70e35425693c0f271f0b8d0e31befed9be2710c6cbb7f46a170c00ee527fe2b8311084887ce8b6dd737ba576
Homepage: https://cran.r-project.org/package=detectseparation
Description: CRAN Package 'detectseparation' (Detect and Check for Separation and Infinite Maximum LikelihoodEstimates)
 Provides pre-fit and post-fit methods for detecting separation and infinite
 maximum likelihood estimates in generalized linear models with categorical
 responses. The pre-fit methods apply on binomial-response generalized liner
 models such as logit, probit and cloglog regression, and can be directly
 supplied as fitting methods to the glm() function. They solve the linear
 programming problems for the detection of separation developed in Konis
 (2007,
 <https://ora.ox.ac.uk/objects/uuid:8f9ee0d0-d78e-4101-9ab4-f9cbceed2a2a>)
 using 'ROI' <https://cran.r-project.org/package=ROI> or 'lpSolveAPI'
 <https://cran.r-project.org/package=lpSolveAPI>. The post-fit methods apply
 to models with categorical responses, including binomial-response
 generalized linear models and multinomial-response models, such as baseline
 category logits and adjacent category logits models; for example, the models
 implemented in the 'brglm2' <https://cran.r-project.org/package=brglm2>
 package. The post-fit methods successively refit the model with increasing
 number of iteratively reweighted least squares iterations, and monitor the
 ratio of the estimated standard error for each parameter to what it has been
 in the first iteration. According to the results in Lesaffre & Albert (1989,
 <https://www.jstor.org/stable/2345845>), divergence of those ratios
 indicates data separation.

Package: r-cran-detectxor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggh4x, r-cran-tibble, r-cran-reshape2, r-cran-glue, r-cran-magrittr, r-cran-ggthemes, r-cran-desctools, r-cran-knitr, r-cran-kableextra, r-cran-htmltools, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-doparallel, r-cran-foreach, r-cran-future, r-cran-future.apply, r-cran-pbmcapply
Filename: pool/dists/focal/main/r-cran-detectxor_0.1.0-1.ca2004.1_all.deb
Size: 145976
MD5sum: 331e0c460f291f7eae6034ac751104ab
SHA1: 961b69d7d02e65942cf617c8d85503f113373a71
SHA256: 6a8f0363e690475542d77759ca7d07cea7cae1d80ec0112107cbf6ea84352745
SHA512: d5a23b68b04688c0e597c7123c0e63e60dbfdb14655c401b79de1c7e47aceba7ff9800031d4d41b0adb4893fbe1b062673e2d64bfeb330b3bbb846bedbdb50e6
Homepage: https://cran.r-project.org/package=detectXOR
Description: CRAN Package 'detectXOR' (XOR Pattern Detection and Visualization)
 Provides tools for detecting XOR-like patterns in variable pairs in
 two-class data sets. Includes visualizations for pattern exploration and
 reporting capabilities with both text and HTML output formats.

Package: r-cran-detlifeinsurance
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-detlifeinsurance_0.1.3-1.ca2004.1_all.deb
Size: 346944
MD5sum: e14d9fcfd79bcba7629afa859283d2c3
SHA1: ed1d3cf5ac34ca4b8ff09d71d84c0763a0505486
SHA256: 1f9237ca85f7f2372bab25d5918857ca620ac37ef02063c2089326a9040e0300
SHA512: 558244721943cadd157f0de94c6a8809089c3b14d31acbaa97d54d695831f60a2b29d2d80fa79a239c5a46c5f3e629404893833be74ac0ddb077c4d58a32b5dc
Homepage: https://cran.r-project.org/package=DetLifeInsurance
Description: CRAN Package 'DetLifeInsurance' (Life Insurance Premium and Reserves Valuation)
 Methods for valuation of life insurance premiums and reserves (including
 variable-benefit and fractional coverage) based on "Actuarial Mathematics"
 by Bowers, H.U. Gerber, J.C. Hickman, D.A. Jones and C.J. Nesbitt (1997,
 ISBN: 978-0938959465), "Actuarial Mathematics for Life Contingent Risks" by
 Dickson, David C. M., Hardy, Mary R. and Waters, Howard R (2009)
 <doi:10.1017/CBO9780511800146> and "Life Contingencies" by Jordan, C. W
 (1952) <doi:10.1017/S002026810005410X>. It also contains functions for
 equivalent interest and discount rate calculation, present and future values
 of annuities, and loan amortization schedule.

Package: r-cran-detourr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5687
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tourr, r-cran-tibble, r-cran-htmlwidgets, r-cran-tidyselect, r-cran-rlang, r-cran-purrr, r-cran-viridislite
Suggests: r-cran-testthat, r-cran-crosstalk, r-cran-shiny, r-cran-htmltools, r-cran-knitr, r-cran-dplyr, r-cran-liminal, r-cran-rmarkdown, r-cran-geozoo
Filename: pool/dists/focal/main/r-cran-detourr_0.1.0-1.ca2004.1_all.deb
Size: 2605128
MD5sum: d0a501f8d6f0937ad248279a56618ef5
SHA1: e21b5e5563446b814cb9747058d84af7d7c142d8
SHA256: f33c10954a1d9432339ebc1c0fe7f400aedb1697ef90206bae90ed8f3ea68d0e
SHA512: 161205126ce2d31cdd5bb24e6ed7c17644468a8af0bb878ccadb1fa0b6212c7d58c6aaa0fc9abd20e36edefa0dc0b9878201908d3ab46470c72f2c6301a62aca
Homepage: https://cran.r-project.org/package=detourr
Description: CRAN Package 'detourr' (Portable and Performant Tour Animations)
 Provides 2D and 3D tour animations as HTML widgets. The user can interact
 with the widgets using orbit controls, tooltips, brushing, and timeline
 controls. Linked brushing is supported using 'crosstalk', and widgets can be
 embedded in Shiny apps or HTML documents.

Package: r-cran-detpack
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-detpack_1.1.3-1.ca2004.1_all.deb
Size: 102172
MD5sum: d2d884f862059b23c415ca2b9d9c3838
SHA1: 92b88d4c4656874e25126ef05394976e34082bcc
SHA256: 6f55e6de2ea5d3846b4cd2592a2d6afaf54dfe158a73c0c8f31e9b2c672d204c
SHA512: a5823b55c53a5996aa36e942c31fee90e457df190d01db2e08e3828b84cee7c92ea0c30f3345d47b45512f46a697673beeb9b5ef8e2fb9290eafa441366eea6f
Homepage: https://cran.r-project.org/package=detpack
Description: CRAN Package 'detpack' (Density Estimation and Random Number Generation withDistribution Element Trees)
 Density estimation for possibly large data sets and
 conditional/unconditional random number generation or bootstrapping with
 distribution element trees. The function 'det.construct' translates a
 dataset into a distribution element tree. To evaluate the probability
 density based on a previously computed tree at arbitrary query points, the
 function 'det.query' is available. The functions 'det1' and 'det2' provide
 density estimation and plotting for one- and two-dimensional datasets.
 Conditional/unconditional smooth bootstrapping from an available
 distribution element tree can be performed by 'det.rnd'. For more details on
 distribution element trees, see: Meyer, D.W. (2016) <arXiv:1610.00345> or
 Meyer, D.W., Statistics and Computing (2017) <doi:10.1007/s11222-017-9751-9>
 and Meyer, D.W. (2017) <arXiv:1711.04632> or Meyer, D.W., Journal of
 Computational and Graphical Statistics (2018)
 <doi:10.1080/10618600.2018.1482768>.

Package: r-cran-detrender
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplr, r-cran-tkrplotr
Filename: pool/dists/focal/main/r-cran-detrender_1.0.5-1.ca2004.1_all.deb
Size: 226864
MD5sum: 9e8fe6a7a0c1d61f743ed0c9688dc52c
SHA1: c7d2e1f86de32e393256d7588a071e436f2e7f5c
SHA256: 13b62b6b57db00030fd5d4f3535aa1f9bb88968a93cc4372577b01f01c8680d2
SHA512: b61b7109c530f031c2fafda55e554cb517313f97ae1e016207fe339fb4240e1a03535e3a12069ca17cfc35ddf982f6029df52f3d5823f86376c4973cbf263e7f
Homepage: https://cran.r-project.org/package=detrendeR
Description: CRAN Package 'detrendeR' (A Graphical User Interface (GUI) to Visualize and AnalyzeDendrochronological Data)
 A Graphical User Interface (GUI) to import, save, detrend and perform
 standard tree-ring analyses. The interactive detrending allows the user to
 check how well the detrending curve fits each time-series and change it when
 needed.

Package: r-cran-dets
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4920
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pheatmap, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-dets_1.0-1.ca2004.1_all.deb
Size: 5000216
MD5sum: c597ab7db9e52a9310e520656e109a04
SHA1: 0c12c5f37055911c6bb9a16046443fc6305f9a4b
SHA256: d72356cdeb6e9832e92aa96d11453a86b21ce75213692b3c707f03bcbe1f968a
SHA512: a94a3e23222ec271f7ac7f5de971255987a46f6676d2aa903a37522a9208f2ce4def203cc50e6cbc505bf790eb46bcd83bb888bdcf72c25f4355600e43482a42
Homepage: https://cran.r-project.org/package=deTS
Description: CRAN Package 'deTS' (Tissue-Specific Enrichment Analysis)
 Tissue-specific enrichment analysis to assess lists of candidate genes or
 RNA-Seq expression profiles. Pei G., Dai Y., Zhao Z. Jia P. (2019) deTS:
 Tissue-Specific Enrichment Analysis to decode tissue specificity.
 Bioinformatics, In submission.

Package: r-cran-detzrcr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-mass, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-detzrcr_0.3.1-1.ca2004.1_all.deb
Size: 1412216
MD5sum: fcd82352b60ffa92fa3ab43fdc96b3f9
SHA1: d15f112722ae090aa7d8429bf1c66e47eb07af55
SHA256: db0f0ef7b4db8168916f3731672acd0e70ef93f5e15e65c88310d605b87e2960
SHA512: ffc07e519c501eb7bcf7eeb2b25236f84f416b29f0a1160337684cffc7307d1af2faf7258a7efe7e0a961f2e6fd0c2cd3601ecb96682f365eb9f14fa0240c778
Homepage: https://cran.r-project.org/package=detzrcr
Description: CRAN Package 'detzrcr' (Compare Detrital Zircon Suites)
 Compare detrital zircon suites by uploading univariate, U-Pb age, or
 bivariate, U-Pb age and Lu-Hf data, in a 'shiny'-based user-interface.
 Outputs publication quality figures using 'ggplot2', and tables of
 statistics currently in use in the detrital zircon geochronology community.

Package: r-cran-devfunc
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-devfunc_0.1-1.ca2004.1_all.deb
Size: 50272
MD5sum: 3556ed17c4d74c3f44a38f8a2b34e2bf
SHA1: 1dcfbf743d07ff442e0aac9800c2f7904c23402d
SHA256: 5f3241309fc4c47943b90725ff071fdafdf30f0684b398acfeda4e9403cb3457
SHA512: 617871a6f6f39002d797765d130310f2db88da530f700855f9120f68366bb796dfe3163934403a3d5897b33b36095c1d62f84fc1226349c145e05ab8ba362e7d
Homepage: https://cran.r-project.org/package=devFunc
Description: CRAN Package 'devFunc' (Clear and Condense Argument Check for User-Defined Functions)
 A concise check of the format of one or multiple input arguments (data type,
 length or value) is provided. Since multiple input arguments can be tested
 simultaneously, a lengthly list of checks at the beginning of your function
 can be avoided, hereby enhancing the readability and maintainability of your
 code.

Package: r-cran-devore7
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-devore7_0.7.6-1.ca2004.1_all.deb
Size: 858516
MD5sum: 9d61d3917fc43df1fa278075b110d985
SHA1: 0b89836807972c0159d82661537f18b2fa60722c
SHA256: 18465ba0424f2c62e76a222f41dd8793863514fde31c2419bf9d40c6d41c7a62
SHA512: 9e421b43d60caaea2d57a18b6074d4109d38e19f3c1f3db59f2f740334ae60ee5b138410dccc878c30a7168f12a3508a91414b9ee1343574bbf040d234a5656e
Homepage: https://cran.r-project.org/package=Devore7
Description: CRAN Package 'Devore7' (Data sets from Devore's "Prob and Stat for Eng (7th ed)")
 Data sets and sample analyses from Jay L. Devore (2008), "Probability and
 Statistics for Engineering and the Sciences (7th ed)", Thomson.

Package: r-cran-devrate
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1579
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-devrate_0.2.4-1.ca2004.1_all.deb
Size: 1040236
MD5sum: 932d567a672dfd78a4e6e2f7bc270b99
SHA1: 3404266a0561b28a82df235d282c1be5bed21469
SHA256: 104f565df7789d8084b36c2ab5b2ce538c2413c7ed509c0455244b0f0f484d2b
SHA512: e422dda6397a9a92f0755a033d3af2949ee63ac7285684485efd818d1b3af3973362c29e361a6ea5175b742482261136ce187e32feacb082afdda566bc12151b
Homepage: https://cran.r-project.org/package=devRate
Description: CRAN Package 'devRate' (Quantify the Relationship Between Development Rate andTemperature in Ectotherms)
 A set of functions to quantify the relationship between development rate and
 temperature and to build phenological models. The package comprises a set of
 models and estimated parameters borrowed from a literature review in
 ectotherms. The methods and literature review are described in Rebaudo et
 al. (2018) <doi:10.1111/2041-210X.12935>, Rebaudo and Rabhi (2018)
 <doi:10.1111/eea.12693>, and Regnier et al. (2021) <doi:10.1093/ee/nvab115>.
 An example can be found in Rebaudo et al. (2017)
 <doi:10.1007/s13355-017-0480-5>.

Package: r-cran-devtoolbox
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-magrittr, r-cran-purrr, r-cran-reshape2, r-cran-ggplot2, r-cran-markdown, r-cran-rmarkdown, r-cran-stringr, r-cran-dt, r-cran-gh, r-cran-htmltools, r-cran-jsonlite, r-cran-lubridate, r-cran-flexdashboard, r-cran-httr, r-cran-ggiraph, r-cran-cranlogs, r-cran-visnetwork, r-cran-pkgnet
Suggests: r-cran-knitr, r-cran-glue
Filename: pool/dists/focal/main/r-cran-devtoolbox_0.2.0-1.ca2004.1_all.deb
Size: 53084
MD5sum: ab98cd37a5e57a14e04dd3e195a8ea28
SHA1: 0f9a0872c3365b596f947fbb5a656b60870181b0
SHA256: 9722fec4667c2d3e505131912610aad70b0588160bd211bde5c66770f173d99c
SHA512: 372638af5b843b288a5c661bc453adb10418a2a3b7592f71a29a19b18f64005fc55ff162a13a69cf62dd0ffc06ff7d43d09791dc669cc7e4f9e3e79fd488bc48
Homepage: https://cran.r-project.org/package=devtoolbox
Description: CRAN Package 'devtoolbox' (Tools for the R Developer)
 Reporting tools for the R developer to evaluate their packages in terms of
 complexity, usage, and performance. Developers can generate an HTML report
 that displays CRAN downloads, number of open GitHub issues and pull
 requests, package dependencies, and so on, with each component of the report
 available as independent functions.

Package: r-cran-devtools
Architecture: all
Version: 2.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 545
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-usethis, r-cran-cli, r-cran-desc, r-cran-ellipsis, r-cran-fs, r-cran-lifecycle, r-cran-memoise, r-cran-miniui, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-profvis, r-cran-rcmdcheck, r-cran-remotes, r-cran-rlang, r-cran-roxygen2, r-cran-rversions, r-cran-sessioninfo, r-cran-testthat, r-cran-urlchecker, r-cran-withr
Suggests: r-cran-biocmanager, r-cran-callr, r-cran-covr, r-cran-curl, r-cran-digest, r-cran-dt, r-cran-foghorn, r-cran-gh, r-cran-gmailr, r-cran-httr, r-cran-knitr, r-cran-lintr, r-cran-mass, r-cran-mockery, r-cran-pingr, r-cran-rhub, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-devtools_2.4.5-1.ca2004.1_all.deb
Size: 401620
MD5sum: 058620363bac156c0fb4a80fcb45862c
SHA1: be848f4ce1cf4dce7b7200f385f21574cade55eb
SHA256: f622ead0fa1a85a9a796bf7937f5e509a09bf402e97da351869c732e8b279295
SHA512: d7dcf48392d7a188cd6b02b9e2cc08c9151bd2954ecea08aa93b8a09a259b21ca44f21150668781744e49b5a33af4e9920ec63867fc160706295b590d14ec48c
Homepage: https://cran.r-project.org/package=devtools
Description: CRAN Package 'devtools' (Tools to Make Developing R Packages Easier)
 Collection of package development tools.

Package: r-cran-devtreatrules
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-dyntxregime, r-cran-modelobj
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-devtreatrules_1.1.0-1.ca2004.1_all.deb
Size: 403708
MD5sum: 5ca048f70e9cd99363340683f3874ef2
SHA1: e504d6496b18b0f1f0b60be81e3f3375905b013d
SHA256: b7d597a6726fc30521dea9f4be7b997e9fecd07112c019815ed85f73c4271e63
SHA512: b19b16ac814b22bb9db3f7bd5ace89eb37eab196ded2bdd64b95084d5c885aaecaaf0fdaaf9d69f6bb41253af195a2b749fa6ab56660461cbae39ef9ad4f9a48
Homepage: https://cran.r-project.org/package=DevTreatRules
Description: CRAN Package 'DevTreatRules' (Develop Treatment Rules with Observational Data)
 Develop and evaluate treatment rules based on: (1) the standard indirect
 approach of split-regression, which fits regressions separately in both
 treatment groups and assigns an individual to the treatment option under
 which predicted outcome is more desirable; (2) the direct approach of
 outcome-weighted-learning proposed by Yingqi Zhao, Donglin Zeng, A. John
 Rush, and Michael Kosorok (2012) <doi:10.1080/01621459.2012.695674>; (3) the
 direct approach, which we refer to as direct-interactions, proposed by Shuai
 Chen, Lu Tian, Tianxi Cai, and Menggang Yu (2017) <doi:10.1111/biom.12676>.
 Please see the vignette for a walk-through of how to start with an
 observational dataset whose design is understood scientifically and end up
 with a treatment rule that is trustworthy statistically, along with an
 estimation of rule benefit in an independent sample.

Package: r-cran-dexir
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 607
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-stringr
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-ggally, r-cran-fmsb
Filename: pool/dists/focal/main/r-cran-dexir_1.0.2-1.ca2004.1_all.deb
Size: 556176
MD5sum: 3b78a8f67778675eac6f13ec108dc078
SHA1: adabea73cc24171a36adc724bde51a5248ec0ca1
SHA256: ed1db41c077b262619a4a4c0be3aa5edf960675d4e9e66beb957b54e01ba8f44
SHA512: f2b999a919a7ba72c3ab64bf6c0e09fc7e84bf2bc4cdee70b32ed64b51a87e67286072de9ce7e8be15b1eb397a1bf2ef4f1a687d968b5d6f1b7b86ad39250df1
Homepage: https://cran.r-project.org/package=DEXiR
Description: CRAN Package 'DEXiR' ('DEXi' Library)
 A software package for using 'DEXi' models. 'DEXi' models are hierarchical
 qualitative multi-criteria decision models developed according to the method
 DEX (Decision EXpert,
 <https://dex.ijs.si/documentation/DEX_Method/DEX_Method.html>), using the
 program 'DEXi' (<https://kt.ijs.si/MarkoBohanec/dexi.html>) or 'DEXiWin'
 (<https://dex.ijs.si/dexisuite/dexiwin.html>).  A typical workflow with
 'DEXiR' consists of: (1) reading a '.dxi' file, previously made using the
 'DEXi' software (function read_dexi()), (2) making a data frame containing
 input values of one or more decision alternatives, (3) evaluating those
 alternatives (function evaluate()), (4) analyzing alternatives
 (selective_explanation(), plus_minus(), compare_alternatives()), (5) drawing
 charts.  'DEXiR' is restricted to using models produced externally by the
 'DEXi' software and does not provide functionality for creating and/or
 editing 'DEXi' models directly in 'R'.

Package: r-cran-dexisensitivity
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 779
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-algdesign, r-cran-plotrix, r-cran-genalg, r-cran-dplyr, r-cran-ggplot2, r-cran-testthat, r-cran-xml2
Suggests: r-cran-sloop, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-dexisensitivity_1.0.1-1.ca2004.1_all.deb
Size: 437408
MD5sum: 29befec3ac054e0f13ee51fae7c98960
SHA1: a62ac4b8fedef3ed2d5eb14bdf09f4f9bde027a6
SHA256: 49b8956dad8a3279787ef83fc3d523b15f519f06687db57d32c520267433a8d8
SHA512: ec11496f7a25aa9846e3450c19f5ca9c140a862d7736fa328102a8e0495d222fc5c8e83001fb34df1e4d4ee508e550c64f4f200ef65e74a1aaa028bdb3c9ef95
Homepage: https://cran.r-project.org/package=dexisensitivity
Description: CRAN Package 'dexisensitivity' ('DEXi' Decision Tree Analysis and Visualization)
 Provides a versatile toolkit for analyzing and visualizing 'DEXi' (Decision
 EXpert for education) decision trees, facilitating multi-criteria decision
 analysis directly within R. Users can read .dxi files, manipulate decision
 trees, and evaluate various scenarios. It supports sensitivity analysis
 through Monte Carlo simulations, one-at-a-time approaches, and
 variance-based methods, helping to discern the impact of input variations.
 Additionally, it includes functionalities for generating sampling plans and
 an array of visualization options for decision trees and analysis results. A
 distinctive feature is the synoptic table plot, aiding in the efficient
 comparison of scenarios. Whether for in-depth decision modeling or
 sensitivity analysis, this package stands as a comprehensive solution.
 Definition of sensitivity analyses available in Carpani, Bergez and Monod
 (2012) <doi:10.1016/j.envsoft.2011.10.002> and detailed description of the
 package soon available in Alaphilippe, Allart, Carpani, Cavan, Monod and
 Bergez (submitted to Software Impacts).

Package: r-cran-dextergui
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1641
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dexter, r-cran-shiny, r-cran-shinybs, r-cran-dt, r-cran-htmltools, r-cran-shinyjs, r-cran-shinyfiles, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-rcurl, r-cran-dbi, r-cran-readxl, r-cran-writexl, r-cran-ggplot2, r-cran-networkd3, r-cran-survey, r-cran-cairo
Suggests: r-cran-knitr, r-cran-psych, r-cran-sirt, r-cran-readods, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dextergui_1.0.0-1.ca2004.1_all.deb
Size: 993056
MD5sum: 327a22b6bca605a10dcffed41731f490
SHA1: cdff44f35aee316a0a5c2d4cfbbde281300dae15
SHA256: 7852a9ccc62a670d8783698dbc802adb6690776205753dbb8ff576462b24487e
SHA512: c9c4d3fe4b489c5eb9ea36aadb7852879cc94491537596d661fd00e632b036525a6ed7ae43cd9be53894063bb813b591a6ba8dcd3381d9abf4498fa2db7f5219
Homepage: https://cran.r-project.org/package=dextergui
Description: CRAN Package 'dextergui' (A Graphical User Interface for Dexter)
 Classical Test and Item analysis, Item Response analysis and data management
 for educational and psychological tests.

Package: r-cran-df2yaml
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rrapply, r-cran-tibble, r-cran-yaml, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-prettydoc, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-df2yaml_0.3.1-1.ca2004.1_all.deb
Size: 185392
MD5sum: d6a4119ad74805f112ece451e9248ae1
SHA1: eaf84f9d46b8b402bf39d5f7f97995b3cee68a8f
SHA256: 3fe0d2b1c32dc41f6b093093f9ed2b5bb30de9d73c66d44fc54e0fcc92f6564a
SHA512: 0d6a1e2d9154af363b98863115f0bf80a7f5f41848e0549a134405df874dfeaa0ec9d1cc5198f66ab18e4c85921c181bc23c9dbefec55006d01dec7cccfe5c1e
Homepage: https://cran.r-project.org/package=df2yaml
Description: CRAN Package 'df2yaml' (Convert Dataframe to 'YAML')
 The 'df2yaml' aims to simplify the process of converting 'dataframe' to
 'YAML' <https://yaml.org/>.  The 'dataframe' with multiple key columns and
 one value column will be converted to the multi-level hierarchy.

Package: r-cran-dfa.cancor
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayesfactor, r-cran-mass, r-cran-mvoutlier, r-cran-mvn
Filename: pool/dists/focal/main/r-cran-dfa.cancor_0.3.8-1.ca2004.1_all.deb
Size: 331684
MD5sum: ae248f49bbe9b577a579937744b48237
SHA1: 882d9316809d7977c4fa771ddc15f8bc3cc72a58
SHA256: 14ae43a3f5f22adfd028567a2cc1c73baadbdca53063a9f9599f05277cfb26fa
SHA512: c2368798960d3cb9c1262a3d06140877f42298ad03829bb83ff3a280291955e34d91e6f9d64d02b3ad4d0a87d84fefcc14608e0c3e020bd339700bcac61b044e
Homepage: https://cran.r-project.org/package=DFA.CANCOR
Description: CRAN Package 'DFA.CANCOR' (Linear Discriminant Function and Canonical Correlation Analysis)
 Produces SPSS- and SAS-like output for linear discriminant function analysis
 and canonical correlation analysis. The methods are described in Manly &
 Alberto (2017, ISBN:9781498728966), Rencher (2002, ISBN:0-471-41889-7), and
 Tabachnik & Fidell (2019, ISBN:9780134790541).

Package: r-cran-dfa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dfa_1.0.0-1.ca2004.1_all.deb
Size: 115260
MD5sum: f37bbba6b3f497deba8ecba758bf0a55
SHA1: bded3b076ac3d7e77b433f3dc7a5edf0c6e70301
SHA256: 9265a4d844d6c891dd85084aba2b12c5e65a0fc0cfc5480a89b3db859695cf58
SHA512: 671bb34092263e2b59fc424e9a61f7a0cbf83dddecb7281d049aabeccce8a47852b4abf50d7d55385536aeaff36581b8cfaf5c7b31bdcb92aba007294ca06df7
Homepage: https://cran.r-project.org/package=DFA
Description: CRAN Package 'DFA' (Detrended Fluctuation Analysis)
 Containing the Detrended Fluctuation Analysis (DFA), Detrended
 Cross-Correlation Analysis (DCCA), Detrended Cross-Correlation Coefficient
 (rhoDCCA), Delta Amplitude Detrended Cross-Correlation Coefficient
 (DeltarhoDCCA), log amplitude Detrended Fluctuation Analysis (DeltalogDFA),
 and the Activity Balance Index, it also includes two DFA automatic methods
 for identifying crossover points and a Deltalog automatic method for
 identifying reference channels.

Package: r-cran-dfadjust
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-collapse
Suggests: r-cran-testthat, r-cran-sandwich, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-dfadjust_1.1.0-1.ca2004.1_all.deb
Size: 222800
MD5sum: 85e9c20a318f3ee10a5d2793767889f1
SHA1: fa037dac14a14638443ad4a7c44b9b35f8e8e7e9
SHA256: 22047ba577adbc0866ee1bfc1384217015abed0a7ec59fdd22ad74efa76be2fe
SHA512: 197ba235dc334d55672c5cd22717f28e42d1d6db4d7a6ad74f53b7fa5ae38ce3a6c3b833deb1ca4ffb6271342ac7077ce2d90cd414bc1bca7405600b4ca8f159
Homepage: https://cran.r-project.org/package=dfadjust
Description: CRAN Package 'dfadjust' (Degrees of Freedom Adjustment for Robust Standard Errors)
 Computes small-sample degrees of freedom adjustment for heteroskedasticity
 robust standard errors, and for clustered standard errors in linear
 regression. See Imbens and Kolesár (2016) <doi:10.1162/REST_a_00552> for a
 discussion of these adjustments.

Package: r-cran-dfba
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2751
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-dfba_0.1.0-1.ca2004.1_all.deb
Size: 1139072
MD5sum: c4bab3cea4f6a88996dc408ae777a728
SHA1: da902de4e7c9f590aea62e55336f0991b1e8b682
SHA256: 2b61b95cc9f0ebeb9db46a1c167cab743d7aad44b5d56439d6832f6f0b45ab8d
SHA512: 64b46192e0e3a4697120211285763233cd3662049d36437eb7c79e7e24ac81360182f323de27ac98faa6d0ea4ec06a0b97ee8fccb523e2df71a2f31c0537e76f
Homepage: https://cran.r-project.org/package=DFBA
Description: CRAN Package 'DFBA' (Distribution-Free Bayesian Analysis)
 A set of functions to perform distribution-free Bayesian analyses.  Included
 are Bayesian analogues to the frequentist Mann-Whitney U test, the Wilcoxon
 Signed-Ranks test, Kendall's Tau Rank Correlation Coefficient, Goodman and
 Kruskal's Gamma, McNemar's Test, the binomial test, the sign test, the
 median test, as well as distribution-free methods for testing contrasts
 among condition and for computing Bayes factors for hypotheses. The package
 also includes procedures to estimate the power of distribution-free Bayesian
 tests based on data simulations using various probability models for the
 data. The set of functions provide data analysts with a set of Bayesian
 procedures that avoids requiring parametric assumptions about measurement
 error and is robust to problem of extreme outlier scores.

Package: r-cran-dfcompare
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dfcompare_1.0.0-1.ca2004.1_all.deb
Size: 10468
MD5sum: e68556675b0e542691811a634aef7410
SHA1: ea72ac966b6b66a475c6a2dd2b9494fc408a3160
SHA256: bcc9de58aa18fff7b7a494701db389dbab404e7a2176d67de2ba50645d871202
SHA512: b07b24839bf506254ddcf07f58b71c78c48d2e624a5f690c67b6101bfaaa7c9e82550761dc1a894b2aee75d2dbda2ef7a54c295a8f0a2ae52622b8c7aace28a0
Homepage: https://cran.r-project.org/package=dfCompare
Description: CRAN Package 'dfCompare' (Compare Two Dataframes and Return Adds, Changes, and Deletes)
 Compares two dataframes with a common key and returns the delta records. The
 package will return three dataframes that contain the added, changed, and
 deleted records.

Package: r-cran-dfcrm
Architecture: all
Version: 0.2-2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dfcrm_0.2-2.1-1.ca2004.1_all.deb
Size: 151344
MD5sum: c02107001ff49d6bdf9344d9f388f72f
SHA1: 1de4831f3bf18a876fce2b46d54cc23009192fab
SHA256: ac7e900e57300df4bd72a297ccbb1a02a05843bc9eef2392885c73a9bc1c6f75
SHA512: 070b0e04244a76f2b70b6f84f6a76807a93e13822e4009f3c908259671e351968125261e24f42b1e0802af810c429b09700b6bcc5d01d6f45eae30101071fbcc
Homepage: https://cran.r-project.org/package=dfcrm
Description: CRAN Package 'dfcrm' (Dose-Finding by the Continual Reassessment Method)
 Provides functions to run the CRM and TITE-CRM in phase I trials and
 calibration tools for trial planning purposes.

Package: r-cran-dfd
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-signaturesearch, r-bioc-signaturesearchdata, r-cran-stringr, r-cran-gprofiler2, r-cran-scales, r-cran-ggplot2, r-cran-gridextra, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-dfd_0.3.0-1.ca2004.1_all.deb
Size: 37704
MD5sum: b7888a8ddc913a35893c76f955972f1f
SHA1: 1ad7713bda689cef338d11273aa6f0c2d4722565
SHA256: 60a2458d18453a42635e9311f5be7f729baa5dc08bf87a4f6af1cab943a7015b
SHA512: 9e71a99da98c231e086240473bbf9a3daa16fbc7ccb4084f7f51d778d53967ac944168e00a17d051d7fe9115c6b825e2f123dd5f5f858499ef99ac8815fb1645
Homepage: https://cran.r-project.org/package=DFD
Description: CRAN Package 'DFD' (Extract Drugs from Differential Expression Data from LINCSDatabase)
 Get Drug information from given differential expression profile. The package
 search for the bioactive compounds from reference databases such as LINCS
 containing the genome-wide gene expression signature (GES) from tens of
 thousands of drug and genetic perturbations (Subramanian et al. (2017)
 <DOI:10.1016/j.cell.2017.10.049>).

Package: r-cran-dfdr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-rlang, r-cran-r6, r-cran-pryr
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-dfdr_0.2.0-1.ca2004.1_all.deb
Size: 239288
MD5sum: 337c0000c00470c25e499d9bdc987bae
SHA1: c049cba7ea06d95574f866c638fc52ecb6ec1aa4
SHA256: 64a7ffc7b997d66ead93967322d9d2c0adf2b404110c19761e651bfd32672e46
SHA512: 1e099da460f1aa8e0ca0a8eba2e05bfc2cfef228bb099a4404f7e51b50f0eb2ab7e3b45d02fd074c13f6b5d967e3677a4995f9b81fe3127cf602dee2b7e40bbd
Homepage: https://cran.r-project.org/package=dfdr
Description: CRAN Package 'dfdr' (Automatic Differentiation of Simple Functions)
 Implementation of automatically computing derivatives of functions (see
 Mailund Thomas (2017) <doi:10.1007/978-1-4842-2881-4>). Moreover,
 calculating gradients, Hessian and Jacobian matrices is possible.

Package: r-cran-dfer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 961
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-emoji, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-renv, r-cran-rlang, r-cran-tidyselect, r-cran-usethis, r-cran-withr
Suggests: r-cran-knitr, r-cran-readxl, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dfer_1.0.1-1.ca2004.1_all.deb
Size: 704140
MD5sum: 86e16dee10fc3fb60148de88fbab885c
SHA1: a8925003c6043c1720fa78c8f153904ea30b23fd
SHA256: 03e28273f2a86ecea58494daa7e528c3db448fe5177305ee964cb1be3f8e757e
SHA512: 06197cecd9c52fc2003f49eed3ffcaca5cda25833162df25b6cd678b3f226eea606040ad0aaaea9c9305ff46c28092a12513212573e19d9de230fbcb4e38786f
Homepage: https://cran.r-project.org/package=dfeR
Description: CRAN Package 'dfeR' (Common Department for Education Analysis Tasks)
 Preferred methods for common analytical tasks that are undertaken across the
 Department, including number formatting, project templates and curated
 reference data.

Package: r-cran-dfexpand
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dfexpand_0.0.2-1.ca2004.1_all.deb
Size: 16352
MD5sum: 687fde482f9328ea2f3ca22d05019154
SHA1: d0c94afed3f7023ba23cf045e30a27305e97b7bb
SHA256: 19e4e7b610e9178f64e2d24dadebd2d8a823379098d2d40562a4e0878bff3afd
SHA512: 45a6a970557e877a773d7287a0b890f154d6fd6b3905ca2638d6389bd89209515c408dfc5a261ddd64f57e627f1046388e0d261796ae46c00ff94ff18f380ca2
Homepage: https://cran.r-project.org/package=dfexpand
Description: CRAN Package 'dfexpand' (Automatically Expand Delimited Column Values into MultipleBinary Columns with 'dfexpand')
 Implements an algorithm to effortlessly split a column in an R data frame
 filled with multiple values separated by delimiters. This automates the
 process of creating separate columns for each unique value, transforming
 them into binary outcomes.

Package: r-cran-dfexplore
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dfexplore_0.2.1-1.ca2004.1_all.deb
Size: 116204
MD5sum: a70dad125dbd0be5f0af706c3c1e711c
SHA1: 907b019a5744bcbe6a2a4a935e3f0096d817a94b
SHA256: 5ab3c8cd443a35a83aa46339fdbd856bfa2d90bd553a645a58dc3ab96fea7e10
SHA512: e5c27a4bce5600c90e9b9c7f542ab155ba61319bad64d6370bdf99ac77622dabc8a2c5fd9bc1ffd58410e5073208f235d044728e1d17adb357a07ba625e97e7e
Homepage: https://cran.r-project.org/package=dfexplore
Description: CRAN Package 'dfexplore' (Explore data.frames by plotting NA and classes of each variable)
 Quickly and graphically show missing values and classes of each variable and
 each observation of a data.frame. The aim is to show pattern of missing
 values and if there is wrong class attribution.

Package: r-cran-dfidx
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-formula, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-dfidx_0.1-2-1.ca2004.1_all.deb
Size: 202184
MD5sum: 835b1f3125db321f1cdb5ad5d7827bfb
SHA1: 1c6700d738bbfb816312083c5ea6dd31ec58bcdc
SHA256: 86046775867c6f7ca27c1c0234449606b12a21353d53206707ec10773280eb0d
SHA512: d6a1726cdf86fd6a64ff0df4fcfd94a6083cd9cd30f52e449404d25ad238b2e7ad61a2f27e7a4e695a8eb89ac56762db4561da154c96ea887a0aee35442c50e9
Homepage: https://cran.r-project.org/package=dfidx
Description: CRAN Package 'dfidx' (Indexed Data Frames)
 Provides extended data frames, with a special data frame column which
 contains two indexes, with potentially a nesting structure.

Package: r-cran-dfit
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-mirt, r-cran-simex, r-cran-mvtnorm, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dfit_1.1-1.ca2004.1_all.deb
Size: 219884
MD5sum: 6e888bfa29424c88672ff1034fd4dd9a
SHA1: 1e7a77d7d5d87bcc94018ea6611b263c655720a8
SHA256: b37f9db336dcf84f6b1cac4e9e2fb54f7e3361bc25d8d17e827e8bc3b19bc760
SHA512: 0f5b8d562db57587879945c12f9e70781639b53764f2d572a0e6c359a6a2bc7335de9f8e5dad622a5006ee4beffb3a38cc26455222033f83a9c837c2bb650dd6
Homepage: https://cran.r-project.org/package=DFIT
Description: CRAN Package 'DFIT' (Differential Functioning of Items and Tests)
 A set of functions to perform Raju, van der Linden and Fleer's (1995,
 <doi:10.1177/014662169501900405>) Differential Functioning of Items and
 Tests (DFIT) analyses. It includes functions to use the Monte Carlo Item
 Parameter Replication approach (Oshima, Raju, & Nanda, 2006,
 <doi:10.1111/j.1745-3984.2006.00001.x>) for obtaining the associated
 statistical significance tests cut-off points. They may also be used for a
 priori and post-hoc power calculations (Cervantes, 2017,
 <doi:10.18637/jss.v076.i05>).

Package: r-cran-dfmeta
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 568
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-plyr, r-cran-data.table, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dfmeta_1.0.0-1.ca2004.1_all.deb
Size: 454956
MD5sum: 4cc20a08619205f665f210fa50e99a36
SHA1: 02f1b06f57b12c434029a0ecb604a4663dd3c6aa
SHA256: eabbbaac88da5e3ec6387bf53d4160688b7573e878825b91767e8896246b06c0
SHA512: 35e91472a277e4bb95ffc734399c759ba18b90b48ae65e26c8c9cc1fb4d4f286faf8c198637d92591c391101001c451159ec49197d2452659582f1c5ab36c240
Homepage: https://cran.r-project.org/package=dfmeta
Description: CRAN Package 'dfmeta' (Meta-Analysis of Phase I Dose-Finding Early Clinical Trials)
 Meta-analysis approaches for Phase I dose finding early phases clinical
 trials in order to better suit requirements in terms of maximum tolerated
 dose (MTD) and maximal dose regimen (MDR). This package has currently three
 different approaches: (a) an approach proposed by Zohar et al, 2011,
 <doi:10.1002/sim.4121> (denoted as ZKO), (b) the Variance Weighted pooling
 analysis (called VarWT) and (c) the Random Effects Model Based (REMB)
 algorithm, where user can input his/her own model based approach or use the
 existing random effect logistic regression model (named as glimem) through
 the 'dfmeta' package.

Package: r-cran-dfmirror
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fitdistrplus, r-cran-mass, r-cran-e1071
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dfmirror_2.1.0-1.ca2004.1_all.deb
Size: 52116
MD5sum: ecc69f02118f5a0d2891b136fed2f28a
SHA1: 41f7cdf5d7f9329f34f31037438d1009e143998f
SHA256: 88c9aa2041078097d3859715eccbf9f8bc6c3d85f599c9dc7483dfc77c6f5626
SHA512: 078ddcd150c7dab734026318a824b54d3f96715baf4e9ceba84630632e3677dd6fc8cb20f5cfc93eaa1b52418ff0b6e252b0bfadb73e12b4ed3151cf63d0764b
Homepage: https://cran.r-project.org/package=dfmirroR
Description: CRAN Package 'dfmirroR' (Simulate a Data Frame Mirroring an Input and Produce ShareableSimulation Code)
 The 'dfmirroR' package allows users to input a data frame, simulate some
 number of observations based on specified columns of that data frame, and
 then outputs a string that contains the code to re-create the simulation.
 The goal is to both provide workable test data sets and provide users with
 the information they need to set up reproducible examples with team members.
 This package was created out of a need to share examples in cases where data
 are private and where a full data frame is not needed for testing or
 coordinating.

Package: r-cran-dfoliatr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplr, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-glue, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dfoliatr_0.3.0-1.ca2004.1_all.deb
Size: 354064
MD5sum: 28a5c49cf7e2a0d75dda7f342238a239
SHA1: 67a391be5d0e34e3851915bc098ad9d058234503
SHA256: 89483c15eb44d5f484ca9af85c9154630cd9dce1670478b7c1e202bfb6e70067
SHA512: 7492bef859d9cfd902d536d7e728ca1af9e18a59ca9f0decbd6c8c9b7d235cb05aa5ead64a36afb0a9c46c1f0de1b199bad117fae1a818d8e45d2e06508c7781
Homepage: https://cran.r-project.org/package=dfoliatR
Description: CRAN Package 'dfoliatR' (Detection and Analysis of Insect Defoliation Signals in TreeRings)
 Tools to identify, quantify, analyze, and visualize growth suppression
 events in tree rings that are often produced by insect defoliation.
 Described in Guiterman et al. (2020) <doi:10.1016/j.dendro.2020.125750>.

Package: r-cran-dfoptim
Architecture: all
Version: 2023.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dfoptim_2023.1.0-1.ca2004.1_all.deb
Size: 74548
MD5sum: a45a54e049516ee178d3cd8e08a19261
SHA1: 6ededa80ac45d6df1ae21769bdc7b444f06304f0
SHA256: a380515de4861bc22dfedea38d1276a39eb989e8dc7fbfcda6a63a60d136135f
SHA512: 1afd0668fe3e9510c0867cfff3aa7228c2cba0958ce40cff80157ef5236a093c2c2302e399d09d205dc0824d7274953be27f987f2d70d328bd0b09d38613a159
Homepage: https://cran.r-project.org/package=dfoptim
Description: CRAN Package 'dfoptim' (Derivative-Free Optimization)
 Derivative-Free optimization algorithms. These algorithms do not require
 gradient information. More importantly, they can be used to solve non-smooth
 optimization problems.

Package: r-cran-dforest
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dforest_0.4.2-1.ca2004.1_all.deb
Size: 1142740
MD5sum: 58f65b869f58fb14c9913ea4df9ae0de
SHA1: 8c081d991711488158a5b3ad22725c0f3586eae7
SHA256: 937950e0e55ab19cd3ef4d95367608fa2e1289f26acd0523ca5ce4aa4deb1340
SHA512: 2acbd5b46959d1543ef3fa7e3fbd5ea6dff31e1edf0836bc8ce568f4972d274f2dcc9e6a1218a89c8c35be7c9ded826491b8d912b598cc2bd7120fd649f0f267
Homepage: https://cran.r-project.org/package=Dforest
Description: CRAN Package 'Dforest' (Decision Forest)
 Provides R-implementation of Decision forest algorithm, which combines the
 predictions of multiple independent decision tree models for a consensus
 decision. In particular, Decision Forest is a novel pattern-recognition
 method which can be used to analyze: (1) DNA microarray data; (2)
 Surface-Enhanced Laser Desorption/Ionization Time-of-Flight Mass
 Spectrometry (SELDI-TOF-MS) data; and (3) Structure-Activity Relation (SAR)
 data.  In this package, three fundamental functions are provided, as
 (1)DF_train, (2)DF_pred, and (3)DF_CV.  run Dforest() to see more
 instructions.  Weida Tong (2003) <doi:10.1021/ci020058s>.

Package: r-cran-dformula
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula.tools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dformula_1.0-1.ca2004.1_all.deb
Size: 65792
MD5sum: 89c0616db3f9ef7c601b975170329d2f
SHA1: 09bd622617315e69501d249d9bdc4852a37eec85
SHA256: 585e578cd596a6fbe3510a3f30b934cb86e23cb8ddc3a0b5fc9a6f31c1b5d5e0
SHA512: c45a2f68ead28a0742a0ef7724fddd57e0eea71a81aa0639645e061a7931ba7fae34d6cc46008fe8d5c5f5b2edd7124520ae93561403596065d84d729ef1ba7f
Homepage: https://cran.r-project.org/package=dformula
Description: CRAN Package 'dformula' (Data Manipulation using Formula)
 A tool for manipulating data using the generic formula. A single formula
 allows to easily add, replace and remove variables before running the
 analysis.

Package: r-cran-dfr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sgs, r-cran-caret, r-cran-mass, r-cran-matrix
Suggests: r-cran-sgl, r-cran-gglasso, r-cran-glmnet, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dfr_0.1.5-1.ca2004.1_all.deb
Size: 196200
MD5sum: 5674095ec119b955e6868861085116e4
SHA1: a1fdbe1c53ad2e306f73613a9f9f9c668a8d11c3
SHA256: 69f2db1a789ceefd634839f1da30abae9c71ca405954704062639f008227d5ec
SHA512: ccc20eb7d9b17a69a3a3aff8928bb82ffc9c902aa73afa9be8092ea38f229efb776d32327fcf64a617bd72ce6f2dd2a6cf84867eaa964e1a0a000cc82e7f6715
Homepage: https://cran.r-project.org/package=dfr
Description: CRAN Package 'dfr' (Dual Feature Reduction for SGL)
 Implementation of the Dual Feature Reduction (DFR) approach for the Sparse
 Group Lasso (SGL) and the Adaptive Sparse Group Lasso (aSGL) (Feser and
 Evangelou (2024) <doi:10.48550/arXiv.2405.17094>). The DFR approach is a
 feature reduction approach that applies strong screening to reduce the
 feature space before optimisation, leading to speed-up improvements for
 fitting SGL (Simon et al. (2013) <doi:10.1080/10618600.2012.681250>) and
 aSGL (Mendez-Civieta et al. (2020) <doi:10.1007/s11634-020-00413-8> and
 Poignard (2020) <doi:10.1007/s10463-018-0692-7>) models. DFR is implemented
 using the Adaptive Three Operator Splitting (ATOS) (Pedregosa and Gidel
 (2018) <doi:10.48550/arXiv.1804.02339>) algorithm, with linear and logistic
 SGL models supported, both of which can be fit using k-fold
 cross-validation. Dense and sparse input matrices are supported.

Package: r-cran-dfrr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tmvtnorm, r-cran-fda, r-cran-mass, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-car
Filename: pool/dists/focal/main/r-cran-dfrr_0.1.5-1.ca2004.1_all.deb
Size: 151168
MD5sum: 41e95b9cd937988fec0165cabee31809
SHA1: 5cd3b61f308e3b4d7eb756092ec6724743673d96
SHA256: 35ebfb655a9c2c1c831aeadbb8c7f11ae70669027cb7c9ef203c5898cfb760ca
SHA512: ec122fa24428bbba9906f84d5b5a03af2e92c15fab6bafef4b8f3543d4fb9d29c9bcbd85fdeef2b7261b67a31e034294caa9bc5b80be9ae8683f6826af4afd5a
Homepage: https://cran.r-project.org/package=dfrr
Description: CRAN Package 'dfrr' (Dichotomized Functional Response Regression)
 Implementing Function-on-Scalar Regression model in which the response
 function is dichotomized and observed sparsely. This package provides smooth
 estimations of functional regression coefficients and principal components
 for the dichotomized functional response regression (dfrr) model.

Package: r-cran-dfvad
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dfvad_0.3.6-1.ca2004.1_all.deb
Size: 165320
MD5sum: 25d1d0a6b8614f3160ab99e6ee3d2904
SHA1: 30b92044ba7378e6d17e04b0ee9f23e1154d42e4
SHA256: 234693e256325a81513d7caf4a1a5f7f47ce01cd9c000f643e2b92fd18c0cc04
SHA512: b94e58cdc1278a9d22fd8f10f23f22f249ef24200a625a39b46153b2e469a756110416c0b93f15acccede824549c1841f312f529a16ae2dc27645b71511639f5
Homepage: https://cran.r-project.org/package=dfvad
Description: CRAN Package 'dfvad' (Diewert and Fox's Method of Value Added Growth Decomposition)
 Decomposing value added growth into explanatory factors.  A cost constrained
 value added function is defined to specify the production frontier. Industry
 estimates can also be aggregated using a weighted average approach.  Details
 about the methodology and data can be found in Diewert and Fox (2018)
 <doi:10.1093/oxfordhb/9780190226718.013.19> and Zeng, Parsons, Diewert and
 Fox (2018)
 <https://www.business.unsw.edu.au/research-site/centreforappliedeconomicresearch-site/Documents/emg2018-6_SZeng_EMG-Slides.pdf>.

Package: r-cran-dgaselid
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-mlinterfaces, r-bioc-genefilter, r-bioc-all
Filename: pool/dists/focal/main/r-cran-dgaselid_1.2-1.ca2004.1_all.deb
Size: 86916
MD5sum: b3d311a5ac4cf2445b95b5f9436d0d89
SHA1: 0c44370b12ec667f91ca2715492176f5666f14f1
SHA256: 0af962a89081a3026cb5be7d19e2393c544f37f18c103847828e025c4ee79f76
SHA512: deea3f409a6a7ceda489848606718f31a6296a27a166f1600429569be9dafd3a7372ffb5d04f3ab68ac81b2415519548de16974f65ff7d97f06582e462caf08b
Homepage: https://cran.r-project.org/package=dGAselID
Description: CRAN Package 'dGAselID' (Genetic Algorithm with Incomplete Dominance for FeatureSelection)
 Feature selection from high dimensional data using a diploid genetic
 algorithm with Incomplete Dominance for genotype to phenotype mapping and
 Random Assortment of chromosomes approach to recombination.

Package: r-cran-dgca
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 771
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wgcna, r-cran-matrixstats
Suggests: r-cran-knitr, r-bioc-impute, r-cran-gplots, r-cran-fdrtool, r-cran-testthat, r-cran-ggplot2, r-cran-plotrix, r-bioc-gostats, r-cran-hgnchelper, r-bioc-org.hs.eg.db, r-bioc-annotationdbi, r-cran-abind, r-cran-megena, r-cran-matrix, r-cran-domc, r-cran-igraph, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-dgca_1.0.3-1.ca2004.1_all.deb
Size: 697016
MD5sum: 69cfe893bd8c2e584b7f079e24ffead9
SHA1: 1bbec94d8130eff5c927f366151ff9de23a9ec08
SHA256: 47be49e8f4d8cd98b492b991a9b86ff84cb9c691fd3d985610a0ecec551d38e5
SHA512: c3dd8e0fed970096a238405d832a1736b462accfb8a4d550b9cecd2a2ade8f31ad57937f495acca129ad917641f4bc0292011d74778729737078a1b489145cd6
Homepage: https://cran.r-project.org/package=DGCA
Description: CRAN Package 'DGCA' (Differential Gene Correlation Analysis)
 Performs differential correlation analysis on input matrices, with multiple
 conditions specified by a design matrix. Contains functions to filter,
 process, save, visualize, and interpret differential correlations of
 identifier-pairs across the entire identifier space, or with respect to a
 particular set of identifiers (e.g., one). Also contains several functions
 to perform differential correlation analysis on clusters (i.e., modules) or
 genes. Finally, it contains functions to generate empirical p-values for the
 hypothesis tests and adjust them for multiple comparisons. Although the
 package was built with gene expression data in mind, it is applicable to
 other types of genomics data as well, in addition to being potentially
 applicable to data from other fields entirely. It is described more fully in
 the manuscript introducing it, freely available at
 <doi:10.1186/s12918-016-0349-1>.

Package: r-cran-dgear
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dgear_0.1.4-1.ca2004.1_all.deb
Size: 38312
MD5sum: 4667e51ccfbaf616930e6feb8d57c066
SHA1: 1ffd5705a1f05614ce3d35d2aa1540c7f3440195
SHA256: 94d7b70b2b800e09dc823d7d0248c288901b827ed1224e5fbd5b44a690300cdd
SHA512: 706510e899ba6f967e42f12ccf7d3a5110ca96b1f1ea02707fa7e08cef60713fba2c008edf0eaded2d38f37f8cb9164da2af7b1db786dff70fc21bb244151235
Homepage: https://cran.r-project.org/package=DGEAR
Description: CRAN Package 'DGEAR' (Differential Gene Expression Analysis with R)
 Analyses gene expression data derived from experiments to detect
 differentially expressed genes by employing the concept of majority voting
 with five different statistical models. It includes functions for
 differential expression analysis, significance testing, etc. It simplifies
 the process of uncovering meaningful patterns and trends within gene
 expression data, aiding researchers in downstream analysis. Boyer, R.S.,
 Moore, J.S. (1991) <doi:10.1007/978-94-011-3488-0_5>.

Package: r-cran-dgeobj.utils
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dgeobj, r-cran-dplyr, r-cran-stringr
Suggests: r-bioc-biomart, r-cran-canvasxpress, r-cran-conflicted, r-bioc-edger, r-cran-glue, r-cran-ggplot2, r-bioc-ihw, r-bioc-limma, r-cran-knitr, r-bioc-qvalue, r-bioc-rnaseqpower, r-cran-rmarkdown, r-cran-statmod, r-bioc-sva, r-cran-testthat, r-bioc-zfpkm
Filename: pool/dists/focal/main/r-cran-dgeobj.utils_1.0.6-1.ca2004.1_all.deb
Size: 181448
MD5sum: fbc690d88edb936d8b977bf05c153ab5
SHA1: 276a1166cb12535da4419f7a4408ab880e72b331
SHA256: e9c6b93f78e837f9ecc3857e96c0c3c49b1e031998ef6efcc3809b0552fe662e
SHA512: 819e49e9b2c9999066197ab56686b79a268c51db719bb956d5778715ca033e01bba7ae1426bf6e3efb4573f05c3b4b5d829534037f6eab85b18549fbc389e639
Homepage: https://cran.r-project.org/package=DGEobj.utils
Description: CRAN Package 'DGEobj.utils' (Differential Gene Expression (DGE) Analysis Utility Toolkit)
 Provides a function toolkit to facilitate reproducible RNA-Seq Differential
 Gene Expression (DGE) analysis (Law (2015)
 <doi:10.12688/f1000research.9005.3>).  The tools include both analysis
 work-flow and utility functions: mapping/unit conversion, count
 normalization, accounting for unknown covariates, and more.  This is a
 complement/cohort to the 'DGEobj' package that provides a flexible container
 to manage and annotate Differential Gene Expression analysis results.

Package: r-cran-dgeobj
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2362
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-magrittr, r-cran-stringr
Suggests: r-bioc-biomart, r-cran-conflicted, r-cran-dplyr, r-bioc-edger, r-bioc-genomicranges, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dgeobj_1.1.2-1.ca2004.1_all.deb
Size: 2205860
MD5sum: 5f2eb5db010cc61b382133a41ab278ca
SHA1: 1f3772d94223cf0c69702ea94ebc247ad88fd68b
SHA256: e81d3b2b77ab596c9a377c91fe7af3863f5c6dc45c1ad35505a21b2ab63cd2bf
SHA512: d412496a7feaffaf3e58e1d69ac30050c06bf57211eab0ec20a046754e803c6a6deb43186a145e1de53769e53397c9a01958504090cc918f49cbb96783869718
Homepage: https://cran.r-project.org/package=DGEobj
Description: CRAN Package 'DGEobj' (Differential Gene Expression (DGE) Analysis Results Data Object)
 Provides a flexible container to manage and annotate Differential Gene
 Expression (DGE) analysis results (Smythe et. al (2015)
 <doi:10.1093/nar/gkv007>).  The DGEobj has data slots for row (gene), col
 (samples), assays (matrix n-rows by m-samples dimensions) and metadata (not
 keyed to row, col, or assays).  A set of accessory functions to deposit,
 query and retrieve subsets of a data workflow has been provided.  Attributes
 are used to capture metadata such as species and gene model, including
 reproducibility information such that a 3rd party can access a DGEobj
 history to see how each data object was created or modified.  Since the
 DGEobj is customizable and extensible it is not limited to RNA-seq analysis
 types of workflows -- it can accommodate nearly any data analysis workflow
 that starts from a matrix of assays (rows) by samples (columns).

Package: r-cran-dglm
Architecture: all
Version: 1.8.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-dglm_1.8.6-1.ca2004.1_all.deb
Size: 73632
MD5sum: 538d9eb2a5cf92ccf5b9771d0b88c1ca
SHA1: 0343bb842590d7ff700450db8c4aceb941eea659
SHA256: 1275f1cd3abf63f1c822f6e7c2a7ed13a3d84cd7fc993ac54eb61474a8fabdc8
SHA512: f5faa197509da806969d67d70f41a8f70abc2920adad4ef1529a36a2485b7f717a622ee113907d4aeddbb51a7333e9692c6b663e0d94e350848ba60ffe0dfc3f
Homepage: https://cran.r-project.org/package=dglm
Description: CRAN Package 'dglm' (Double Generalized Linear Models)
 Model fitting and evaluation tools for double generalized linear models
 (DGLMs). This class of models uses one generalized linear model (GLM) to fit
 the specified response and a second GLM to fit the deviance of the first
 model.

Package: r-cran-dglmextpois
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nloptr, r-cran-compoissonreg
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dglmextpois_0.2.4-1.ca2004.1_all.deb
Size: 168860
MD5sum: b3616c6157e01b88e4138e606b0e7d46
SHA1: 223d709275c073fa8e4858beb742ad7cdca66d97
SHA256: fe6eeb48c34c057d61c0964fb8aa14c7bd00f8375cb6446f840b67d1a7fd8b44
SHA512: f89ae7857a10488087ff357eb1962c39e38a776a3d9bc326f6e87fafaa342af88cd1980ac5f230efbfa7bcd3d3b30057e97cb27867a01d9bee0f6fb766c813c0
Homepage: https://cran.r-project.org/package=DGLMExtPois
Description: CRAN Package 'DGLMExtPois' (Double Generalized Linear Models Extending Poisson Regression)
 Model estimation, dispersion testing and diagnosis of hyper-Poisson
 Saez-Castillo, A.J. and Conde-Sanchez, A. (2013)
 <doi:10.1016/j.csda.2012.12.009> and Conway-Maxwell-Poisson Huang, A. (2017)
 regression models.

Package: r-cran-dgpsi
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-benchmarkme, r-cran-ggplot2, r-cran-ggforce, r-cran-reshape2, r-cran-patchwork, r-cran-lhs, r-cran-clhs, r-cran-dplyr, r-cran-uuid, r-cran-tidyr, r-cran-rlang, r-cran-lifecycle, r-cran-magrittr, r-cran-visnetwork, r-cran-kableextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-r.utils, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dgpsi_2.5.0-1.ca2004.1_all.deb
Size: 1055016
MD5sum: 3b11e552d524d8c95f141f6374c94dd5
SHA1: ea76f5c65af87a2202821010540db0a41e8bfb0f
SHA256: e6d3a1eb1bab3818365266c1a1a8ed9b2433b04bac99ada01e76537492cc6fd2
SHA512: 9ee2c0a36204bc6f3ccc5417b1224acee080da804c6bfc51ef81a0a2e41236a75e732d82f7832662f61c9348c8eb5241f87a20c437d5673f9f36c350282ace71
Homepage: https://cran.r-project.org/package=dgpsi
Description: CRAN Package 'dgpsi' (Interface to 'dgpsi' for Deep and Linked Gaussian ProcessEmulations)
 Interface to the 'python' package 'dgpsi' for Gaussian process, deep
 Gaussian process, and linked deep Gaussian process emulations of computer
 models and networks using stochastic imputation (SI).  The implementations
 follow Ming & Guillas (2021) <doi:10.1137/20M1323771> and Ming, Williamson,
 & Guillas (2023) <doi:10.1080/00401706.2022.2124311> and Ming & Williamson
 (2023) <doi:10.48550/arXiv.2306.01212>. To get started with the package, see
 <https://mingdeyu.github.io/dgpsi-R/>.

Package: r-cran-dharma
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4599
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-gap, r-cran-lmtest, r-cran-ape, r-cran-qgam, r-cran-lme4
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-kernsmooth, r-cran-sfsmisc, r-cran-mass, r-cran-mgcv, r-cran-mgcviz, r-cran-spamm, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-phylolm
Filename: pool/dists/focal/main/r-cran-dharma_0.4.7-1.ca2004.1_all.deb
Size: 3212624
MD5sum: 5c167df3df7e85ffd565f6ef92448590
SHA1: bc5e6d04b5e31fe6986f4b77e377c09f875a1711
SHA256: 472e65d4f6bfeb510851e53ce3b30be2e38664851a6040d4174c22e70e83004b
SHA512: c868ee4d7a423da8b9ff997c690b0bc246fa789b2247865fd38b5ec728aebbe5bac8b62057753d1e328457d0a4743669db71e780cd3550ec7cb70ee3f306950e
Homepage: https://cran.r-project.org/package=DHARMa
Description: CRAN Package 'DHARMa' (Residual Diagnostics for Hierarchical (Multi-Level / Mixed)Regression Models)
 The 'DHARMa' package uses a simulation-based approach to create readily
 interpretable scaled (quantile) residuals for fitted (generalized) linear
 mixed models. Currently supported are linear and generalized linear (mixed)
 models from 'lme4' (classes 'lmerMod', 'glmerMod'), 'glmmTMB',
 'GLMMadaptive', and 'spaMM'; phylogenetic linear models from 'phylolm'
 (classes 'phylolm' and 'phyloglm'); generalized additive models ('gam' from
 'mgcv'); 'glm' (including 'negbin' from 'MASS', but excluding
 quasi-distributions) and 'lm' model classes. Moreover, externally created
 simulations, e.g. posterior predictive simulations from Bayesian software
 such as 'JAGS', 'STAN', or 'BUGS' can be processed as well.  The resulting
 residuals are standardized to values between 0 and 1 and can be interpreted
 as intuitively as residuals from a linear regression. The package also
 provides a number of plot and test functions for typical model
 misspecification problems, such as over/underdispersion, zero-inflation, and
 residual spatial, phylogenetic and temporal autocorrelation.

Package: r-cran-dhbins
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dhbins_1.1-1.ca2004.1_all.deb
Size: 106280
MD5sum: 4de5afc56753e8a9cc83eb860fd4d3f3
SHA1: 209927bde887de0e64b51bcd2901690a5f0945a8
SHA256: 1db93156cb4252b71b188ca36142f2b5f68c4f019babdb5d00705946844ddf63
SHA512: 3ad91dfa68fa3d00581ed3e8519c6ae1ba792cb0ea6c08142c38cf657d57899454b04f21d2539b4a4ae829fef6c55f7bde08c7fa9bc7766c1363e8937d978315
Homepage: https://cran.r-project.org/package=DHBins
Description: CRAN Package 'DHBins' (Hexmaps for NZ District Health Boards)
 Draws stylized choropleth maps -- hexagonal maps and triangular multiclass
 hex maps -- for New Zealand District Health Boards and Regional Council
 areas. These allow faceted, coloured displays of quantitative information
 for comparison across District Health Boards or Regional Councils. The
 preprint Lumley (2019) <arXiv:1912.04435> is based on the methods in this
 package.

Package: r-cran-dhga
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-dhga_0.1-1.ca2004.1_all.deb
Size: 98140
MD5sum: 548ce496f02637d2f992ebd7c341cb10
SHA1: 7e72cca882dc3f340bdc3ba529bd122b3d7be2de
SHA256: 3e0103d95ed8c71802be54a50b25ecf25ecfe35bb1efb36eb6790892230d8d88
SHA512: 7bbcc41cf5cfbf09aa61bd7db5ffdb8661cae25b582b170c1c5e157d85fe6cd2337287449e024da76fd16c7d86715ca5d7b5d44ed8ccda29ea448ea416055bd3
Homepage: https://cran.r-project.org/package=dhga
Description: CRAN Package 'dhga' (Differential Hub Gene Analysis)
 Identification of hub genes in a gene co-expression network from gene
 expression data. The differential network analysis for two contrasting
 conditions leads to the identification of various types of hubs like
 Housekeeping, Unique to stress (Disease) and Unique to control (Normal) hub
 genes.

Package: r-cran-dhglm
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-boot, r-cran-mass, r-cran-car, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-dhglm_2.0-1.ca2004.1_all.deb
Size: 503272
MD5sum: bffa1df1fa802a29479d6b273790af98
SHA1: 5b5e80f2c56e112196af6471922b1e9b50953066
SHA256: 13b495cd418837cb3f49e55b8f0b19deaf08c4a17abdf566053a3f6da6a0a850
SHA512: cb83733e3b519a32f29a8eb89c0c7a33fd375a9945cd059789533e385bf59c647fb1fc1f1ae3310d02e07ef59baa3a20202e65d9bea64a62e409cab62df2c20e
Homepage: https://cran.r-project.org/package=dhglm
Description: CRAN Package 'dhglm' (Double Hierarchical Generalized Linear Models)
 Implements double hierarchical generalized linear models in which the mean,
 dispersion parameters for variance of random effects, and residual variance
 (overdispersion) can be further modeled as random-effect models.

Package: r-cran-dhh
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dhh_0.0.1-1.ca2004.1_all.deb
Size: 40928
MD5sum: 082a1eb2d3b98a93868268e061472695
SHA1: a079beae95e25737aa7b0f7db48ad2f170e0031d
SHA256: f0b784728dfd713496b0d3dc53443ee5268a3dc48a5913ad286553becc39d12a
SHA512: 3f86c3b2d6c2d5cfbb152436b46d630885adc4b369b401d96a0e86e41d07d6123348e6bf027b7b877b28a0375cc96ca04f60ae740205787f50595a439c64d9f2
Homepage: https://cran.r-project.org/package=dhh
Description: CRAN Package 'dhh' (A Heavy-Headed Distribution)
 The density, cumulative distribution, quantiles, and i.i.d random variables
 of a heavy-headed distribution.  For more information, please see the
 vignette.

Package: r-cran-dhis2r
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-attempt, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-r6
Suggests: r-cran-covr, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dhis2r_0.3.0-1.ca2004.1_all.deb
Size: 98976
MD5sum: c35a9be1c2a969ac78eed6e3d7aa4c44
SHA1: 13b55e9ed74dd6fd9279f5b96b904e4f2bb2278a
SHA256: 3795b54e0806eabbfa1546533205523c7e1ae26545371f0b42a3aac8e2cbb5b4
SHA512: 5a0757b6299d22268419192cd649f0236e247d1491277e07d97764cd013b1f187b4bae00fa3e0db3085a25554d41c230379c30f04934c32a534a8283f03c35b2
Homepage: https://cran.r-project.org/package=dhis2r
Description: CRAN Package 'dhis2r' (Client for the 'DHIS2' Web API)
 Connect and pull data from a 'DHIS2 (District Health Information Software
 2)' instance into R.

Package: r-cran-dhlabr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dhlabr_1.0.6-1.ca2004.1_all.deb
Size: 57484
MD5sum: c8b28adfc635ec9f9757675b8aec919b
SHA1: 4021b67fb4d151f0f38427f3fd703d85b96f8981
SHA256: 6cdf9d1be78e6f73625f5c11f706cff979f8a421ef29d7a210823bd4f620c683
SHA512: b23ab41ed006e27628e2daf1c31c8167eb07082d37fda56ef990ef63eb1d963652ef2e45c3fb24505e174981196c3c7b14384367ad80f0cf393d11635eebb701
Homepage: https://cran.r-project.org/package=dhlabR
Description: CRAN Package 'dhlabR' (National Library of Norway Quantitative Text Data API Tools)
 Tools for accessing data from National Library of Norway's dhlab (digital
 humanities laboratory).  Provides wrappers for accessing our API services at
 <https://api.nb.no/dhlab/>.  To learn more about dhlab, visit out site
 <https://www.nb.no/dh-lab/>.

Package: r-cran-dhreg
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-future.apply, r-cran-future, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dhreg_0.1.1-1.ca2004.1_all.deb
Size: 27580
MD5sum: 0919b9dc988a2cec595983dc8c58174f
SHA1: 895796e37053e3dd82c668cd2e430c84d4f3b8ec
SHA256: d20a3386e5d39c7b1833f8bbf4007e66cd90fbd89a6e92f126b324c452236009
SHA512: 07e627d2fbad4b6b24809f5b4b49d8b3b508e8eae3e511faa6251c237d595d935eb5cf70feaa2033e75dc4cd8ea9c2f3bfde2c16b7290632bf18cb778fe3e445
Homepage: https://cran.r-project.org/package=dhReg
Description: CRAN Package 'dhReg' (Dynamic Harmonic Regression)
 Building and forecasting time series data with multiple seasonality using
 Dynamic Harmonic Regression.

Package: r-cran-dhs.rates
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reshape, r-cran-survey, r-cran-haven, r-cran-matrixstats, r-cran-dplyr, r-cran-rlang, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dhs.rates_0.9.2-1.ca2004.1_all.deb
Size: 268728
MD5sum: b4015f1d5da4ace8d47605a050f4b2b2
SHA1: d9c43d94ca5079c9168ac6e60606fd7b79a97fa9
SHA256: fba69b700ba6a6bd64180d1a6323e3f91b3ee0212b63cf68a463819aaa1f83fe
SHA512: 423f6e6d14bb584c9f455b333db9eb6ea5c9f3f434385cc95cef7f521706a61038909d57b2c12dcf5ac94b6c1c0dc9c01304bee2edb92870f14a2c88680a1294
Homepage: https://cran.r-project.org/package=DHS.rates
Description: CRAN Package 'DHS.rates' (Calculates Demographic Indicators)
 Calculates key indicators such as fertility rates (Total Fertility Rate
 (TFR), General Fertility Rate (GFR), and Age Specific Fertility Rate (ASFR))
 using Demographic and Health Survey (DHS) women/individual data, childhood
 mortality probabilities and rates such as Neonatal Mortality Rate (NNMR),
 Post-neonatal Mortality Rate (PNNMR), Infant Mortality Rate (IMR), Child
 Mortality Rate (CMR), and Under-five Mortality Rate (U5MR), and adult
 mortality indicators such as the Age Specific Mortality Rate (ASMR), Age
 Adjusted Mortality Rate (AAMR), Age Specific Maternal Mortality Rate
 (ASMMR), Age Adjusted Maternal Mortality Rate (AAMMR), Age Specific
 Pregnancy Related Mortality Rate (ASPRMR), Age Adjusted Pregnancy Related
 Mortality Rate (AAPRMR), Maternal Mortality Ratio (MMR) and Pregnancy
 Related Mortality Ratio (PRMR).  In addition to the indicators, the
 'DHS.rates' package estimates sampling errors indicators such as Standard
 Error (SE), Design Effect (DEFT), Relative Standard Error (RSE) and
 Confidence Interval (CI).  The package is developed according to the DHS
 methodology of calculating the fertility indicators and the childhood
 mortality rates outlined in the "Guide to DHS Statistics" (Croft, Trevor N.,
 Aileen M. J. Marshall, Courtney K. Allen, et al. 2018,
 <https://dhsprogram.com/Data/Guide-to-DHS-Statistics/index.cfm>) and the DHS
 methodology of estimating the sampling errors indicators outlined in the
 "DHS Sampling and Household Listing Manual" (ICF International 2012,
 <https://dhsprogram.com/pubs/pdf/DHSM4/DHS6_Sampling_Manual_Sept2012_DHSM4.pdf>).

Package: r-cran-dhsage
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dhsage_0.1.0-1.ca2004.1_all.deb
Size: 75100
MD5sum: 21b52ec5013cd4c5d30323cee60ee07f
SHA1: 6d300666de4f14b8a179858c778df02324bcc2b5
SHA256: ca7186d51cc64cfc64f5b48834a4335b0defca4c42dfc8d5f67b2075d31823e9
SHA512: 50dc6764596e63305021b5b8e1c9ad00f22bb004f9ee4fbf0c504fc9c41b47cc7cbb1275b96b3410030c34fe079cc862e0761baa4d5002788d9e58c1c249e1fb
Homepage: https://cran.r-project.org/package=dhsage
Description: CRAN Package 'dhsage' (Reproductive Age Female Data of Various Demographic HealthSurveys)
 We provide 70 data sets of females of reproductive age from 19 Asian
 countries, ranging in age from 15 to 49. The data sets are extracted from
 demographic and health surveys that were conducted over an extended period
 of time. Moreover, the functions also provide Whipple’s index as well as age
 reporting quality such as very rough, rough, approximate, accurate, and
 highly accurate.

Package: r-cran-dhsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-sf, r-cran-spdep, r-cran-viridis, r-cran-nlme, r-cran-mumin, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-spdata, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dhsr_0.1.0-1.ca2004.1_all.deb
Size: 65724
MD5sum: 2f919c7b189fbe4c672ff0876e7d43d4
SHA1: ee5b0d81f36309bc8b43b9030f1d7f9df6711b2c
SHA256: 29cf2328281b42c478504ca3aaa18787d1aa8b99518479882191f95f1002e5d7
SHA512: c886c82f1c9c6e9f682cd3e77e145a1fed1f7adddd52796a39f37431df1d0dcf709b8a264c4399f5c6982ecf623b69e07cf713dff68d1b35c84e290279e25dd7
Homepage: https://cran.r-project.org/package=DHSr
Description: CRAN Package 'DHSr' (Create Large Scale Repeated Regression Summary StatisticsDataset and Visualization Seamlessly)
 Mapping, spatial analysis, and statistical modeling of microdata from
 sources such as the Demographic and Health Surveys
 <https://www.dhsprogram.com/> and Integrated Public Use Microdata Series
 <https://www.ipums.org/>. It can also be extended to other datasets. The
 package supports spatial correlation index construction and visualization,
 along with empirical Bayes approximation of regression coefficients in a
 multistage setup.  The main functionality is repeated regression — for
 example, if we have to run regression for n groups, the group ID should be
 vertically composed into the variable for the parameter `location_var`. It
 can perform various kinds of regression, such as Generalized Regression
 Models, logit, probit, and more. Additionally, it can incorporate
 interaction effects. The key benefit of the package is its ability to store
 the regression results performed repeatedly on a dataset by the group ID,
 along with respective p-values and map those estimates.

Package: r-cran-di
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 859
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-di_1.1.4-1.ca2004.1_all.deb
Size: 267384
MD5sum: dcba51593c188a75cef68dd8813531ef
SHA1: 67bc771862902e93a176eacf230420acdbe6eb9b
SHA256: b0c1f4347863b33878dd6efaec0a9a1da2775f3e09c4c67629e2b04e09749caa
SHA512: 1daba8cc83d3f343785585d33e20bc9ff53c62e3693d8931b3c432fdc399cdcf0a52808392978670bc11984a8d3919df1bed2f77b3bc30a728101183155799d1
Homepage: https://cran.r-project.org/package=di
Description: CRAN Package 'di' (Deficit Index (DI))
 A set of utilities for calculating the Deficit (frailty) Index (DI) in
 gerontological studies.  The deficit index was first proposed by Arnold
 Mitnitski and Kenneth Rockwood and represents a proxy measure of aging and
 also can be served as a sensitive predictor of survival. For more
 information, see (i)"Accumulation of Deficits as a Proxy Measure of Aging"
 by Arnold B. Mitnitski et al. (2001), The Scientific World Journal 1,
 <DOI:10.1100/tsw.2001.58>; (ii) "Frailty, fitness and late-life mortality in
 relation to chronological and biological age" by Arnold B Mitnitski et al.
 (2001), BMC Geriatrics2002 2(1), <DOI:10.1186/1471-2318-2-1>.

Package: r-cran-diagl1
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quantreg, r-cran-greekletters, r-cran-conquer, r-cran-lawstat, r-cran-matrixmodels, r-cran-matrix, r-cran-mass, r-cran-cubature, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-diagl1_1.0.0-1.ca2004.1_all.deb
Size: 164452
MD5sum: cb94a15332d9d518b9f502386979cc98
SHA1: 024316607656a0c3898151d2d01f284a551ae21d
SHA256: c423492aa49c669b417a90bad3a0fb88cf3c8e049233256f096d2ee884db1809
SHA512: d4e49195b6164cf75a23e10bbfce1a5776c232ed78ea420a0c314caf0def9fb51367139e315bdfe48eaa8d565091161c670e83dad34e50cf74496a77913c2c31
Homepage: https://cran.r-project.org/package=diagL1
Description: CRAN Package 'diagL1' (Routines for Fit, Inference and Diagnostics in Linear L1 and LADModels)
 Diagnostics for linear L1 regression (also known as LAD - Least Absolute
 Deviations), including: estimation, confidence intervals, tests of
 hypotheses, measures of leverage, methods of diagnostics for L1 regression,
 special diagnostics graphs and measures of leverage. The algorithms are
 based in Dielman (2005) <doi:10.1080/0094965042000223680>, Elian et al.
 (2000) <doi:10.1080/03610920008832518> and Dodge (1997)
 <doi:10.1006/jmva.1997.1666>. This package builds on the 'quantreg' package,
 which is a well-established package for tuning quantile regression models.
 There are also tests to verify if the errors have a Laplace distribution
 based on the work of Puig and Stephens (2000) <doi:10.2307/1270952>.

Package: r-cran-diagmeta
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-meta, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-diagmeta_0.5-1-1.ca2004.1_all.deb
Size: 160500
MD5sum: 4d68612f3314c6adcb6a404d7cfaee37
SHA1: 04585768579bb37ec42cfdd63af54acf5fc301ee
SHA256: 9a83ab37faf5c05f85904bf9800673c09cf65b3083d7efb5a008de2af2122369
SHA512: 05c19c2e0f4f5f4a24c1f39f7493aff52ea0a576040106dd7fc35c3a42aff7f25bb36b1a3a19329c8d231ac3a65213fadb310f8ca226033e36dd8b55e7259aff
Homepage: https://cran.r-project.org/package=diagmeta
Description: CRAN Package 'diagmeta' (Meta-Analysis of Diagnostic Accuracy Studies with SeveralCutpoints)
 Provides methods by Steinhauser et al. (2016)
 <DOI:10.1186/s12874-016-0196-1> for meta-analysis of diagnostic accuracy
 studies with several cutpoints.

Package: r-cran-diagonals
Architecture: all
Version: 6.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diagonals_6.4.0-1.ca2004.1_all.deb
Size: 25124
MD5sum: b39585605ae2a4adc88a5955dd412f27
SHA1: efeab8777411858104f666a9e4f64dd3659bb884
SHA256: b075cea452b11633902aacbb44eb1a6cfb721ee2a9378133b161661e8bfd3b3e
SHA512: c79c688308b87b5fe54cfda033e5726ced04eba91666a92b52e7716a6a901c3afb22999e94c6fa0761a8bfb3ee28a618c61e2ec72e771f22e292dc1bc166ea13
Homepage: https://cran.r-project.org/package=diagonals
Description: CRAN Package 'diagonals' (Block Diagonal Extraction or Replacement)
 Several tools for handling block-matrix diagonals and similar constructs are
 implemented. Block-diagonal matrices can be extracted or removed using two
 small functions implemented here. In addition, non-square matrices are
 supported. Block diagonal matrices occur when two dimensions of a data set
 are combined along one edge of a matrix. For example, trade-flow data in the
 'decompr' and 'gvc' packages have each country-industry combination occur
 along both edges of the matrix.

Package: r-cran-diagram
Architecture: all
Version: 1.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 810
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shape
Filename: pool/dists/focal/main/r-cran-diagram_1.6.5-1.ca2004.1_all.deb
Size: 656276
MD5sum: 3eb9a675a5ec895957637c003c51197d
SHA1: 3fa9b7f983e85f83f0540d051cb4a8a1993e6d7f
SHA256: 27dfdae96fbdda605226ec8320bf3d9b9e3f6dd92845548a5837fbad9d53691a
SHA512: f40d68a764f2f7666021cb18274df3a29b89602834b1bcc04d2b8e042dc77bd1acdd9cfa9408039e77e8f97e2d47a5291e7ad68118d403f6329a46e7a4da2366
Homepage: https://cran.r-project.org/package=diagram
Description: CRAN Package 'diagram' (Functions for Visualising Simple Graphs (Networks), PlottingFlow Diagrams)
 Visualises simple graphs (networks) based on a transition matrix, utilities
 to plot flow diagrams, visualising webs, electrical networks, etc.  Support
 for the book "A practical guide to ecological modelling - using R as a
 simulation platform" by Karline Soetaert and Peter M.J. Herman (2009),
 Springer.  and the book "Solving Differential Equations in R" by Karline
 Soetaert, Jeff Cash and Francesca Mazzia (2012), Springer.  Includes
 demo(flowchart), demo(plotmat), demo(plotweb).

Package: r-cran-diagrammer
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4313
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-igraph, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-readr, r-cran-rlang, r-cran-cli, r-cran-rstudioapi, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridislite, r-cran-visnetwork
Suggests: r-cran-curl, r-cran-diagrammersvg, r-cran-knitr, r-cran-rmarkdown, r-cran-rsvg, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-diagrammer_1.0.11-1.ca2004.1_all.deb
Size: 2010864
MD5sum: 03124af61f54dd3684ea3d658be2dfe1
SHA1: b3a3efe192bd7d9ff016455189fd3d93e22e3203
SHA256: f681845424cc04a34e4ba29cbfd6c9a2767e5683e42b85296042a2115028f604
SHA512: 2fb150e208eda76da9f67a44cac09cb763573f8fac52dff461a50649338657ea45531121a6f04ee17f18b5ddc69091b3781d8f2d6730a4537c0dec033f717203
Homepage: https://cran.r-project.org/package=DiagrammeR
Description: CRAN Package 'DiagrammeR' (Graph/Network Visualization)
 Build graph/network structures using functions for stepwise addition and
 deletion of nodes and edges. Work with data available in tables for bulk
 addition of nodes, edges, and associated metadata. Use graph selections and
 traversals to apply changes to specific nodes or edges. A wide selection of
 graph algorithms allow for the analysis of graphs. Visualize the graphs and
 take advantage of any aesthetic properties assigned to nodes and edges.

Package: r-cran-diagrammersvg
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4082
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Filename: pool/dists/focal/main/r-cran-diagrammersvg_0.1-1.ca2004.1_all.deb
Size: 600068
MD5sum: f761a7b71ee9ee84fcece68691ebb914
SHA1: 8a6554302ad335de5e9af3fdfa8bd499ab278254
SHA256: c1f4abf8da4ed6ed27fa6cf54c107678f7553ca4bf0a82b46da007f12269ad53
SHA512: 2c5aa86a0f26977c17575a94cf129682ee3156bfdf8ad02916dc4dfd5ac3e17322e26d978822d11b482177d5c3266c81b6418c3c87d6973d45a66605796170c0
Homepage: https://cran.r-project.org/package=DiagrammeRsvg
Description: CRAN Package 'DiagrammeRsvg' (Export DiagrammeR Graphviz Graphs as SVG)
 Allows for export of DiagrammeR Graphviz objects to SVG.

Package: r-cran-diallelanalysisr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diallelanalysisr_0.6.0-1.ca2004.1_all.deb
Size: 78936
MD5sum: 7d4af459bb6aa9ab5ae582225547c19f
SHA1: 21339bb9c91f9c56c69475311626e5dea6885a65
SHA256: 5ef5415b179ac40d7b164dc856860db342c8d2713e032b865f2f05a40955fce9
SHA512: 922dc20134ce1af08ce90adcd4bfebdcb67b447422a188f345e79f69e1821a8deda8c384ae56e800f1f6175669d8d5779d2434c5aaf0c1b56ae44c9eae87a14c
Homepage: https://cran.r-project.org/package=DiallelAnalysisR
Description: CRAN Package 'DiallelAnalysisR' (Diallel Analysis with R)
 Performs Diallel Analysis with R using Griffing's and Hayman's approaches.
 Four different Methods (1: Method-I (Parents + F1's + reciprocals); 2:
 Method-II (Parents and one set of F1's); 3: Method-III (One set of F1's and
 reciprocals); 4: Method-IV (One set of F1's only)) and two Models (1: Fixed
 Effects Model; 2: Random Effects Model) can be applied using Griffing's
 approach.

Package: r-cran-dialr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dialrjars, r-cran-rjava
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-pillar, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dialr_0.4.2-1.ca2004.1_all.deb
Size: 152956
MD5sum: cce2599b61e8582a6fd057be0dcebc62
SHA1: f70f33fa9473c4b6c67d51232ede196ddbc89e10
SHA256: c4882a0ec2a86f2987f8f5eded5cf333528445c3fc80851283e486841d4e05f6
SHA512: 08d82d01394fa07fba58a6b3381b920d0e4b0b6f5ffe8a0acaa40fd1701f709fefe2388b59012a224c6614605372ea63fc91171e68ee1b1d32fd6810f8e0c66b
Homepage: https://cran.r-project.org/package=dialr
Description: CRAN Package 'dialr' (Parse, Format, and Validate International Phone Numbers)
 Parse, format, and validate international phone numbers using Google's
 'libphonenumber' java library, <https://github.com/google/libphonenumber>.

Package: r-cran-dialrjars
Architecture: all
Version: 8.13.36-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2225
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dialrjars_8.13.36-1.ca2004.1_all.deb
Size: 1896504
MD5sum: d09f383313e9ac4eff687c2e60969e56
SHA1: fe61c930469b5dd7da03e8cd52a57d1fe510074b
SHA256: 526a990ffb01908e57adbe84a93ffaa9857d66ba2852a95fe519774b94cc0b11
SHA512: 1e2ed908a87d50d91b6514af9feabd1d3c0dfac840654eac37aeb06d7e7658cd766457dd9055205806541cff9915f65fdb56c2e7db01b2a43348c59724905f6b
Homepage: https://cran.r-project.org/package=dialrjars
Description: CRAN Package 'dialrjars' (Required 'libphonenumber' jars for the 'dialr' Package)
 Collects 'libphonenumber' jars required for the 'dialr' package.

Package: r-cran-dials
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scales, r-cran-cli, r-cran-dicedesign, r-cran-dplyr, r-cran-glue, r-cran-hardhat, r-cran-lifecycle, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-sfd, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-kernlab, r-cran-knitr, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-dials_1.4.0-1.ca2004.1_all.deb
Size: 418616
MD5sum: b8de413389b3c82e12324cb045eb1dd7
SHA1: 0dc87f047c6aaa421e5abb69d6a6059bca036189
SHA256: 8ff5cd71a4072143b309c9da9310eb37032563847a2a7cd95f21e7158c3556f1
SHA512: 6ccd3f97f86d1d9c14a6965d56ac394a432144661b91d2abd04d86cd39f646caf8bfb2592909adf4f814426b9393670fde5ce1aed36fab95f1b3de38463572cb
Homepage: https://cran.r-project.org/package=dials
Description: CRAN Package 'dials' (Tools for Creating Tuning Parameter Values)
 Many models contain tuning parameters (i.e. parameters that cannot be
 directly estimated from the data). These tools can be used to define objects
 for creating, simulating, or validating values for such parameters.

Package: r-cran-diaplt
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-diaplt_1.4.0-1.ca2004.1_all.deb
Size: 52984
MD5sum: c5249527d78aacddc324a2e27572b311
SHA1: 6547452de5514755e47861cd27687709f9a4fafa
SHA256: c4f2a35357944753ced27adf97ca28369c2cb94598fbfa821742544939de1fec
SHA512: d9fcd4d83fe71e7200c16b63bfb1b586f81d75bcb95dc1365363f9197d886a81800ccb073adda1ce50c556818b5d19fd6d5d37db3755c5f47af581a3e95a83d3
Homepage: https://cran.r-project.org/package=diaplt
Description: CRAN Package 'diaplt' (Beads Summary Plot of Ranges)
 Visualize one-factor data frame.  Beads plot consists of diamonds of each
 factor of each data series.  A diamond indicates average and range.  Look
 over a data frame with many numeric columns and a factor column.

Package: r-cran-diario
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2393
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-httr2, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-diario_0.1.0-1.ca2004.1_all.deb
Size: 147120
MD5sum: ef6546f44697561d2afed7492ec48eaa
SHA1: 270b7017be6a18b612d5a862d8ec6942245c5e3c
SHA256: 8f81183164c6284152da0abc2662778f0632c3e7960d0c3ff3ccc5c830e19af8
SHA512: b5bff347dba177acea1c9c2123d74546b1e042920ff2d3ad1f6b27fa303caba6093f12788b785b60fc721b4091077b6360446252318aec3590e1a64aa1921da1
Homepage: https://cran.r-project.org/package=diario
Description: CRAN Package 'diario' ('R' Interface to the 'Diariodeobras' Application)
 Provides a set of functions for securely storing 'API' tokens and
 interacting with the <https://diariodeobras.net> system. Includes convenient
 wrappers around the 'httr2' package to perform authenticated requests,
 retrieve project details, tasks, reports, and more.

Package: r-cran-diathor
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2779
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringdist, r-cran-vegan, r-cran-ggplot2, r-cran-tidyr, r-cran-data.table, r-cran-purrr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diathor_0.1.5-1.ca2004.1_all.deb
Size: 2608772
MD5sum: d6b30ee801f4021d50efbac55f5ddf54
SHA1: 9fb7bc71186924b4072ad9491a4c4b6a84a6ee5d
SHA256: e86638c279959c6aa08ce269b7679e4fbb0ac5b6f787f6f0a6f74b4535d29747
SHA512: ca7d7383df8b4babfc614487f4046a4aaf66f1ee00aa171cafb40ab3c127aa4ecc46304649543a04f46987d8c37ca82cf2da02038fc2c91a2a80c1bf22726ad2
Homepage: https://cran.r-project.org/package=diathor
Description: CRAN Package 'diathor' (Calculate Ecological Information and Diatom Based Indices)
 Calculate multiple biotic indices using diatoms from environmental samples.
 Diatom species are recognized by their species' name using a heuristic
 search, and their ecological data is retrieved from multiple sources.  It
 includes number/shape of chloroplasts diversity indices, size classes,
 ecological guilds, and multiple biotic indices.  It outputs both a dataframe
 with all the results and plots of all the obtained data in a defined output
 folder.  - Sample data was taken from Nicolosi Gelis, Cochero & Gómez (2020,
 <doi:10.1016/j.ecolind.2019.105951>).  - The package uses the 'Diat.Barcode'
 database to calculate morphological and ecological information by Rimet &
 Couchez (2012, <doi:10.1051/kmae/2012018>),and the combined classification
 of guilds and size classes established by B-Béres et al. (2017,
 <doi:10.1016/j.ecolind.2017.07.007>).  - Current diatom-based biotic indices
 include the DES index by Descy (1979) - EPID index by Dell'Uomo (1996, ISBN:
 3950009002) - IDAP index by Prygiel & Coste (1993, <doi:10.1007/BF00028033>)
 - ID-CH index by Hürlimann & Niederhauser (2007) - IDP index by Gómez &
 Licursi (2001, <doi:10.1023/A:1011415209445>) - ILM index by Leclercq &
 Maquet (1987) - IPS index by Coste (1982) - LOBO index by Lobo, Callegaro, &
 Bender (2002, ISBN:9788585869908) - SLA by Sládeček (1986,
 <doi:10.1002/aheh.19860140519>) - TDI index by Kelly, & Whitton (1995,
 <doi:10.1007/BF00003802>) - SPEAR(herbicide) index by Wood, Mitrovic, Lim,
 Warne, Dunlop, & Kefford (2019, <doi:10.1016/j.ecolind.2018.12.035>) - PBIDW
 index by Castro-Roa & Pinilla-Agudelo (2014) - DISP index by Stenger-Kovács
 et al. (2018, <doi:10.1016/j.ecolind.2018.07.026>) - EDI index by Chamorro
 et al. (2024, <doi:10.1021/acsestwater.4c00126>) - DDI index by
 Álvarez-Blanco et al. (2013, <doi: 10.1007/s10661-012-2607-z>) - PDISE index
 by Kahlert et al. (2023, <doi:10.1007/s10661-023-11378-4>).

Package: r-cran-dibble
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-memoise, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dibble_0.3.1-1.ca2004.1_all.deb
Size: 126864
MD5sum: f3daec123e5ad997e98ff3b375ec5173
SHA1: ef94f2e511d5e84668830ddb8a32a9ab28168c3c
SHA256: 2185dee02028179eb2c2c9c11ec9b796149bdd21a51e6597e32cfc3adb226f0d
SHA512: 8751bec598d42ba1930e906ecccdc950db63155c73e4cbaf359649a488c96665bf52fc51b1c3e8fbae94a0121348f08df839360d7d0bbec54589f5e6b7d6defc
Homepage: https://cran.r-project.org/package=dibble
Description: CRAN Package 'dibble' (Dimensional Data Frames)
 Provides a 'dibble' that implements data cubes (derived from 'dimensional
 tibble'), and allows broadcasting by dimensional names.

Package: r-cran-dice
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-dice_1.2-1.ca2004.1_all.deb
Size: 30280
MD5sum: 134db0d8b46240870804b38c2055e3b7
SHA1: 8e07046387f6f7e58798bbd85c323f0ed68ab7ce
SHA256: 0303c12e426d2f36d463080ccbd9ec53477d05ff2906aba4ea7371a667683d5a
SHA512: a74527ee34498069cc70439aa00856974bb5732f3053469a3f713ede103a468cb74e7a046441eed9fc5265e3821727e7e01c41828ee6d449e8201acc1c283a3c
Homepage: https://cran.r-project.org/package=dice
Description: CRAN Package 'dice' (Calculate probabilities of various dice-rolling events)
 This package provides utilities to calculate the probabilities of various
 dice-rolling events, such as the probability of rolling a four-sided die six
 times and getting a 4, a 3, and either a 1 or 2 among the six rolls (in any
 order); the probability of rolling two six-sided dice three times and
 getting a 10 on the first roll, followed by a 4 on the second roll, followed
 by anything but a 7 on the third roll; or the probabilities of each possible
 sum of rolling five six-sided dice, dropping the lowest two rolls, and
 summing the remaining dice.

Package: r-cran-diceeval
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dicekriging
Suggests: r-cran-gam, r-cran-mda, r-cran-polspline
Filename: pool/dists/focal/main/r-cran-diceeval_1.6.1-1.ca2004.1_all.deb
Size: 108068
MD5sum: d87abe75f94f8610939ddc4659ee21c7
SHA1: e0820237bca9936220d67bfd7eeb47ddeff0992a
SHA256: 09e51503049f7b0dd8a96533a8eb27d6378a50daac8e96f4db07b17223557bed
SHA512: b9302f9f6ff5943f484d2714d847136118b5ed7979a7762819e7edc2f3655dfced08e42cc0b36d7484d95687bcc3b725356ce42411909b542f55a9b316f3cb80
Homepage: https://cran.r-project.org/package=DiceEval
Description: CRAN Package 'DiceEval' (Construction and Evaluation of Metamodels)
 Estimation, validation and prediction of models of different types : linear
 models, additive models, MARS,PolyMARS and Kriging.

Package: r-cran-dicem
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1078
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-politeness, r-cran-stringr, r-cran-doc2concrete, r-cran-vader, r-cran-matrix, r-cran-quanteda, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-spacyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dicem_0.1.0-1.ca2004.1_all.deb
Size: 825540
MD5sum: 103b5dfccdcbe9ec9e1635a85dd03e51
SHA1: 1e2a585444e25b4c6717a157119359552c704e6c
SHA256: 509e7cfbac2427b6ec2af793b17769e7ec148f7c8d8b4f1fdff1a0693605c919
SHA512: f37fca2b743a5fee0d01e37dbd9c4afe95f93b2cc2a29160b3a303bc62602a2f157ff0e296e621f0f90e48320a2a682eb65f01c6bed93dfd2555f76c5ae67968
Homepage: https://cran.r-project.org/package=DICEM
Description: CRAN Package 'DICEM' (Directness and Intensity of Conflict Expression)
 A Natural Language Processing Model trained to detect directness and
 intensity during conflict. See <https://www.mikeyeomans.info>.

Package: r-cran-diceplot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-data.table, r-cran-cowplot, r-cran-tibble, r-cran-rlang, r-cran-rcolorbrewer, r-cran-sf, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-diceplot_0.2.0-1.ca2004.1_all.deb
Size: 121044
MD5sum: 92a915fd3b068460366610ef51ce9ed5
SHA1: 8d889b32bbbefee3dda6c60869b0c2554bce98f1
SHA256: f87be9ac580b5f8e0a91ff92e1100817819ac0d3d0a07e1f694f60cdfd1da653
SHA512: f28fd9f5f5bf62f1b67358a7d30215285f3a73bea841489ebc2e93ffb2ef9212b905d29ee22efa147fca16ff45d6df54ac197b756c92e6cf583df4be37388246
Homepage: https://cran.r-project.org/package=diceplot
Description: CRAN Package 'diceplot' (High Dimensional Categorical Data Visualization)
 Easy visualization for datasets with more than two categorical variables and
 additional continuous variables. 'diceplot' is particularly useful for
 exploring complex categorical data in the context of pathway analysis across
 multiple conditions. For a detailed documentation please visit
 <https://dice-and-domino-plot.readthedocs.io/en/latest/>.

Package: r-cran-diceview
Architecture: all
Version: 3.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dicedesign, r-cran-r.cache, r-cran-geometry, r-cran-scatterplot3d, r-cran-foreach
Suggests: r-cran-rlibkriging, r-cran-dicekriging, r-cran-diceeval, r-cran-rgl, r-cran-arrangements
Filename: pool/dists/focal/main/r-cran-diceview_3.1-3-1.ca2004.1_all.deb
Size: 304304
MD5sum: 756901da2a1a6e8cf9f14ccfad142f87
SHA1: 9670eae698002970b09b208524860aac71db0b02
SHA256: c2e2119c06667085ab50075ccd9edffe90691ea296d05234eb847170426be367
SHA512: b2c67866476de23fe473959764bdc41e42180e90b1b92dfd88043185634f13816cc3335c66c3b5641c460b65b702febc3a021d88819c9f445615c86efbcb18a9
Homepage: https://cran.r-project.org/package=DiceView
Description: CRAN Package 'DiceView' (Methods for Visualization of Computer Experiments Design andSurrogate)
 View 2D/3D sections, contour plots, mesh of excursion sets for computer
 experiments designs, surrogates or test functions.

Package: r-cran-dichromat
Architecture: all
Version: 2.0-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dichromat_2.0-0.1-1.ca2004.1_all.deb
Size: 147568
MD5sum: 58e78668d6e57bf502936cd696b0d6a2
SHA1: 390d16b1191024d3f1eb14962ac33c5e21494769
SHA256: cef98a6b796abfc3e8a015d0ae97a0c936c13f5b24a7f7644aff31660cb579fb
SHA512: 3c12ce7056b280562069e93dfa66701db61f2285d9fe27d0b3e92b39905d6d5b078bf90c00138cfbf2e47e9e677698f8904cdbfd7aa745775d52895315eb7411
Homepage: https://cran.r-project.org/package=dichromat
Description: CRAN Package 'dichromat' (Color Schemes for Dichromats)
 Collapse red-green or green-blue distinctions to simulate the effects of
 different types of color-blindness.

Package: r-cran-dicionariosibge
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dicionariosibge_1.6-1.ca2004.1_all.deb
Size: 388236
MD5sum: a718dfa9bd53d436f9f89d7aae54856d
SHA1: 053e4362783d316f3fb820347f41a73953625c95
SHA256: b2dd5a7cbcd26a1201493ec3568256e9923f94c2798a9d19fe5ee98119d9ff46
SHA512: bc150a800d768360ce28f24cbf6807a04ece590a874f64086ebf86a792f0223fe48d78f17ffc85fed9d915e5ec0310498e0827fb652d7e412c2fc5881e28704c
Homepage: https://cran.r-project.org/package=dicionariosIBGE
Description: CRAN Package 'dicionariosIBGE' (Dictionaries for reading microdata surveys from IBGE)
 This package contains the dictionaries for reading microdata from IBGE
 (Brazilian Institute of Geography and Statistics) surveys PNAD, PME and POF.

Package: r-cran-dicomread
Architecture: all
Version: 0.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matlabr
Filename: pool/dists/focal/main/r-cran-dicomread_0.0.0.3-1.ca2004.1_all.deb
Size: 12168
MD5sum: e6f61a5db7ad6b83240454f5d7d651ba
SHA1: b74df6c4a62b5dfce3e52022e3cd39445ea68841
SHA256: fea86b6bff2ab10bfafd377cdbdeb57737c0868d7adf8ee89db07d7b20b5192d
SHA512: 9f87d146259ae30add254f2499f950be156be6fc36454b4bb3395c5bd6155555db4b30fb17d81980e2d5044a5fc8c521f40d30b980487e8784d2652d7199e080
Homepage: https://cran.r-project.org/package=DICOMread
Description: CRAN Package 'DICOMread' (Reading and Saving DICOM Image Files)
 This function provides an interface between 'Matlab' and 'R' in facilitating
 fast processing for reading and saving DICOM images.

Package: r-cran-diconvex
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-diconvex_1.0.0-1.ca2004.1_all.deb
Size: 18704
MD5sum: 933d435d22fd75d8a46bd771ba0022f9
SHA1: 59622b7f6d7d126dc77eac4d8aefee07d87fac9e
SHA256: b75ff0d477839fb6a37a707cea32951cc6c373a30a524ae1ed5e2210352dab64
SHA512: b85cc726fe0e38058fb8309dca70547e2509c159af3152a166592d9ce0e77b9f68dab7bd327a415ecde5eb8b5a27a3acf4e0543fcb0126bdc75b91e37a6a8e45
Homepage: https://cran.r-project.org/package=DIconvex
Description: CRAN Package 'DIconvex' (Finding Patterns of Monotonicity and Convexity in Data)
 Given an initial set of points, this package minimizes the number of
 elements to discard from this set such that there exists at least one
 monotonic and convex mapping within pre-specified upper and lower bounds.

Package: r-cran-dict
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dict_0.1.0-1.ca2004.1_all.deb
Size: 60352
MD5sum: 046246fdba26926272cd2565589acb48
SHA1: 3c6c975cb45b3fc1bba2ac0a971595f1e028489e
SHA256: 45f621d8d821b491802f974a946a14de22d2b564326dadc4d0b59114e496eecc
SHA512: d4be916ca173ebba5cab66abf0cb6ac1cbadb39d021a5ed7e6c1f699070bf579fc6f9e2a25a4ce270911f05f8b671c36e67bf70d46280fd415afa6700e65610f
Homepage: https://cran.r-project.org/package=Dict
Description: CRAN Package 'Dict' (R6 Based Key-Value Dictionary Implementation)
 A key-value dictionary data structure based on R6 class which is designed to
 be similar usages with other languages dictionary (e.g. 'Python') with
 reference semantics and extendabilities by R6.

Package: r-cran-dictionar6
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ooplah, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dictionar6_0.1.3-1.ca2004.1_all.deb
Size: 150132
MD5sum: ae1da4df0b2aa000f5af9a3d15d3bb4c
SHA1: 2e1f3a9828b15fa3c7cab426170e810c7396f578
SHA256: 8cd3c66dc4203c4541fc3a09865d86e1b35f38550416dfc03124977486a7e496
SHA512: ac9894af1870a197f92b7de1261f41f47518a47bb49260ff5986e88033c0c4db704db4ae66ea7ad650a048a8c4b5d7410fe4859cb74cb145b77d72f36b10034c
Homepage: https://cran.r-project.org/package=dictionar6
Description: CRAN Package 'dictionar6' (R6 Dictionary Interface)
 Efficient object-oriented R6 dictionary capable of holding objects of any
 class, including R6. Typed and untyped dictionaries are provided as well as
 the 'usual' dictionary methods that are available in other OOP languages,
 for example listing keys, items, values, and methods to get/set these.

Package: r-cran-dictionary
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dictionary_0.1.1-1.ca2004.1_all.deb
Size: 93920
MD5sum: 40b8ccc6cbc54222292880ac44832e5e
SHA1: 4fe25c529cca9e7fee0e999a841dbb49ed037a00
SHA256: e7c2d5821fcb46689d9cfff5845367be39bfa7abbb348991d871822c1214b9eb
SHA512: 93141a2a5cecf13ee73dbe5fa9be75d835c4d56e60207eb97e686e13f8e49444988c781762eba46d2bb607a8b35f8338cdebba67ea7a86aa86cb7f4a82c983bb
Homepage: https://cran.r-project.org/package=dictionaRy
Description: CRAN Package 'dictionaRy' (Retrieve the Dictionary Definitions of English Words)
 An R interface to the 'Free Dictionary API' <https://dictionaryapi.dev/>,
 <https://github.com/meetDeveloper/freeDictionaryAPI>. Retrieve dictionary
 definitions for English words, as well as additional information including
 phonetics, part of speech, origins, audio pronunciation, example usage,
 synonyms and antonyms, returned in 'tidy' format for ease of use.

Package: r-cran-did2s
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2040
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fixest, r-cran-data.table, r-cran-sparsem, r-cran-matrixextra, r-cran-matrix, r-cran-boot, r-cran-broom, r-cran-ggplot2, r-cran-rlang, r-cran-did, r-cran-staggered, r-cran-didimputation
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-haven, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-did2s_1.0.2-1.ca2004.1_all.deb
Size: 1899000
MD5sum: 3053bcd7a4d6602a5d0d45a2bdff72d7
SHA1: 20e9bc68f2fe6d5bed5692198aa739c794e5f194
SHA256: 070ad3f38efac34de3b55d9215d16223abe68d11e129438471566c5715f73a0b
SHA512: 8b4ff11b9c8b3e45593d2e58cc47d7d9ea5e755ed6514c0f1058e9b918ae92a430fb162035405086cfc5322254a274e7b441f75ed53763555809c6606ddce251
Homepage: https://cran.r-project.org/package=did2s
Description: CRAN Package 'did2s' (Two-Stage Difference-in-Differences Following Gardner (2021))
 Estimates Two-way Fixed Effects difference-in-differences/event-study models
 using the approach proposed by Gardner (2021)
 <doi:10.48550/arXiv.2207.05943>. To avoid the problems caused by OLS
 estimation of the Two-way Fixed Effects model, this function first estimates
 the fixed effects and covariates using untreated observations and then in a
 second stage, estimates the treatment effects.

Package: r-cran-did
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4346
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bmisc, r-cran-matrix, r-cran-pbapply, r-cran-ggplot2, r-cran-ggpubr, r-cran-drdid, r-cran-generics, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-plm, r-cran-here, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-did_2.1.2-1.ca2004.1_all.deb
Size: 2596440
MD5sum: d7d2630edb81ed0674cd9267b382407b
SHA1: 3efd4cdc172e859d94eeb0070b1b5a5201f09ffb
SHA256: 781e139da5fbdf305a8c9b6d1673f69698f5e06d51aaeaeea99a8e6bc68bad88
SHA512: 2f2f276f22c79402198d5f87fb8845b5417f37d9d5b042d9903f1feea4c32491c0a03514f2e515d6221261792b704531c14b603d2a849a4a9e9775f336e21543
Homepage: https://cran.r-project.org/package=did
Description: CRAN Package 'did' (Treatment Effects with Multiple Periods and Groups)
 The standard Difference-in-Differences (DID) setup involves two periods and
 two groups -- a treated group and untreated group.  Many applications of DID
 methods involve more than two periods and have individuals that are treated
 at different points in time.  This package contains tools for computing
 average treatment effect parameters in Difference in Differences setups with
 more than two periods and with variation in treatment timing using the
 methods developed in Callaway and Sant'Anna (2021)
 <doi:10.1016/j.jeconom.2020.12.001>.  The main parameters are group-time
 average treatment effects which are the average treatment effect for a
 particular group at a a particular time.  These can be aggregated into a
 fewer number of treatment effect parameters, and the package deals with the
 cases where there is selective treatment timing, dynamic treatment effects,
 calendar time effects, or combinations of these.  There are also functions
 for testing the Difference in Differences assumption, and plotting
 group-time average treatment effects.

Package: r-cran-didacticboost
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-didacticboost_0.1.1-1.ca2004.1_all.deb
Size: 20492
MD5sum: 3b7220489f74ce741253da9b84693b8a
SHA1: 52d44b8141f1c17b6a867001dd125f3559586326
SHA256: 21f3e258fe9a8426cd82491815b662dee1ec5361c4d16e234c9a7169749fdd85
SHA512: eeadbf5362dbcc17fa3ccb0ced8181643cd42f0c3144feec0c864d895f87dd768f5614012bd86f06b37ff47e2bd872151f8cbea8bcc4a9b68a5e36e198ff7fc7
Homepage: https://cran.r-project.org/package=DidacticBoost
Description: CRAN Package 'DidacticBoost' (A Simple Implementation and Demonstration of Gradient Boosting)
 A basic, clear implementation of tree-based gradient boosting designed to
 illustrate the core operation of boosting models. Tuning parameters (such as
 stochastic subsampling, modified learning rate, or regularization) are not
 implemented. The only adjustable parameter is the number of training rounds.
 If you are looking for a high performance boosting implementation with
 tuning parameters, consider the 'xgboost' package.

Package: r-cran-didec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copbasic, r-cran-cowplot, r-cran-dendextend, r-cran-factoextra, r-cran-foci, r-cran-ggplot2, r-cran-gtools, r-cran-phylogram, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-didec_0.1.0-1.ca2004.1_all.deb
Size: 726796
MD5sum: 33d20828ec191b5fe7e7eab52e1c5cd9
SHA1: 506ae098b01e97214cb685b8e7fc20fab091ba43
SHA256: 6da7eeaf894a1f57494663fa6195cbf128c424a4e444c13d703ff8329ab5f8b0
SHA512: 87172ea86c9180b3735e2ea0495b6cb0e41b46cc161aa857d45aff1a0632121b9ba04452b2fc5cd35d6c20112f80d4eb56736ba15652f14793c57a7fec0b02d5
Homepage: https://cran.r-project.org/package=didec
Description: CRAN Package 'didec' (Directed Dependence Coefficient)
 Directed Dependence Coefficient (didec) is a measure of directed dependence.
 Multivariate Feature Ordering by Conditional Independence (MFOCI) is a
 variable selection algorithm based on didec. Hierarchical Variable
 Clustering (VarClustPartition) is a variable clustering method based on
 didec. For more information, see the paper by Ansari and Fuchs (2024,
 <doi:10.48550/arXiv.2212.01621>), and the paper by Fuchs and Wang (2024,
 <doi:10.1016/j.ijar.2024.109185>).

Package: r-cran-diderot
Architecture: all
Version: 0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-igraph, r-cran-stringi, r-cran-rcurl, r-cran-splitstackshape, r-cran-data.table, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-diderot_0.13-1.ca2004.1_all.deb
Size: 817248
MD5sum: d93e77c0e90da0b78eb2bc6a6d22e318
SHA1: a945ed14fb799f70d3718a195bd563508faddc16
SHA256: 7c7a88ed65dfc44377f7817717b17b1e497d75f5b7acccb495fdbe791eda1f0c
SHA512: 2826ec93aec617f1cde4814362876c7b66a8e81a103abd0fd59938cb8841f91456a0e50a3dd7cfb5d0f33ef252f12caa4add72cf67ea35d37165ddcb2789c332
Homepage: https://cran.r-project.org/package=Diderot
Description: CRAN Package 'Diderot' (Bibliographic Network Analysis)
 Enables the user to build a citation network/graph from bibliographic data
 and, based on modularity and heterocitation metrics, assess the degree of
 awareness/cross-fertilization between two corpora/communities. This toolset
 is optimized for Scopus data.

Package: r-cran-didforbigdata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2529
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-sandwich
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-fixest, r-cran-progress
Filename: pool/dists/focal/main/r-cran-didforbigdata_1.0-1.ca2004.1_all.deb
Size: 1134276
MD5sum: 394b637ec0f9de21ad6e56bc3f4ea086
SHA1: b01ff530a0eeb66581c38e93ddde0a8343da0f96
SHA256: 50201a2bcd4152799ea8ad447c21a268aaa94bef7bf6db0cbaeaec13f060aa2a
SHA512: e617b4e3d88dbcd611c07432ef0c11eb2fb3e31d6db8463431bcf0faec6fffc042a44b644be8401f90c799f089a86845e2798b49c26bea7ba0ac6314cf422f69
Homepage: https://cran.r-project.org/package=DiDforBigData
Description: CRAN Package 'DiDforBigData' (A Big Data Implementation of Difference-in-DifferencesEstimation with Staggered Treatment)
 Provides a big-data-friendly and memory-efficient difference-in-differences
 estimator for staggered (and non-staggered) treatment contexts.

Package: r-cran-didhad
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-yatchewtest, r-cran-nprobust, r-cran-ggplot2, r-cran-plm, r-cran-rnames, r-cran-dplyr, r-cran-haven, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-didhad_1.0.1-1.ca2004.1_all.deb
Size: 48300
MD5sum: b393ac9653f7056b08b93b9dc6272001
SHA1: c094974133770da319892ff9a95bb4247cacb44d
SHA256: 53b2273227844c3b9c8515bcf070f2a6946319f96ef604c59d2f7eb5f43776e0
SHA512: 571e2fb13893fd0153170fbf1a5f889e5cc666d41c2f297898e18ee3d0282a6e093e745809d447785d412c65a633ba4d7f690e83c11dc232d8813d7a12061d1a
Homepage: https://cran.r-project.org/package=DIDHAD
Description: CRAN Package 'DIDHAD' (Difference-in-Differences in Heterogeneous Adoption Designs withQuasi Stayers)
 Estimation of Difference-in-Differences (DiD) estimators from de
 Chaisemartin and D'Haultfoeuille (2024) <doi:10.2139/ssrn.4284811> in
 Heterogeneous Adoption Designs with no stayers but with quasi stayers.

Package: r-cran-didmultiplegt
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fixest, r-cran-plotrix, r-cran-sampling, r-cran-magrittr, r-cran-stringr, r-cran-didmultiplegtdyn, r-cran-didhad
Filename: pool/dists/focal/main/r-cran-didmultiplegt_2.0.0-1.ca2004.1_all.deb
Size: 93600
MD5sum: 448b5d0332d2ec8f0a47f9300fa1adc5
SHA1: fafd0e3eb32b4307759d55f21b885b9d40017ee7
SHA256: 19a021bd1e66ad39fd4ecc995b0e8cc1c2047e94bfe7f88c535c8e7c7a3896f8
SHA512: 3bce8c96e753e80dff58f46582bb1701e9f74672d466cad1547d8c6891f517e7cce4008640625fd9a47b5fb612c46e167b50b5cde6ad92951cd448d07fc4b2e4
Homepage: https://cran.r-project.org/package=DIDmultiplegt
Description: CRAN Package 'DIDmultiplegt' (Estimators DID with Multiple Groups and Periods)
 Estimators of Difference-in-Differences based on de Chaisemartin and
 D'Haultfoeuille.

Package: r-cran-didmultiplegtdyn
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-matlib, r-cran-plm, r-cran-openxlsx, r-cran-car, r-cran-lmtest, r-cran-sandwich, r-cran-haven, r-cran-cowplot, r-cran-rnames
Filename: pool/dists/focal/main/r-cran-didmultiplegtdyn_2.1.2-1.ca2004.1_all.deb
Size: 273172
MD5sum: 7e3c7100e8cc1bc441e432d5684835ae
SHA1: 9cf32290f88f8bdf6efab755e9cd2db56903588b
SHA256: 0cad7d1687da6f48c14067ef3c0cf03fcdfdd27d7b8add4a6edc4ebac917c05c
SHA512: 202dbc839ed643f2284205538ed7b2b1fa392d78d04fd64c2074dff748a17e8d441118e917ae2ea8a1f5fc0edccffa2b60eb3980fa3f2e3f97adafb822f8741e
Homepage: https://cran.r-project.org/package=DIDmultiplegtDYN
Description: CRAN Package 'DIDmultiplegtDYN' (Estimation in Difference-in-Difference Designs with MultipleGroups and Periods)
 Estimation of heterogeneity-robust difference-in-differences estimators,
 with a binary, discrete, or continuous treatment, in designs where past
 treatments may affect the current outcome.

Package: r-cran-didroorfm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-didroorfm_1.0.0-1.ca2004.1_all.deb
Size: 14952
MD5sum: eb68c07b81063b47effeafcae9a66e99
SHA1: 6319a0f66bab22932da2a0f4855ca356f86841a2
SHA256: beb05b3b816b2a41bdb4406804191d0c3c38021de5f6e440736a37fc979fa8f8
SHA512: 6ac98197b7cb428d0c40a6b9519b5faf394d490da51d55fe1583ff310ea953de6e2b0242408f8b53a33f77550e0b46ff3866484956c9a62c939c178aa8bfe192
Homepage: https://cran.r-project.org/package=didrooRFM
Description: CRAN Package 'didrooRFM' (Compute Recency Frequency Monetary Scores for your Customer Data)
 This hosts the findRFM function which generates RFM scores on a 1-5 point
 scale for customer transaction data. The function consumes a data frame with
 Transaction Number, Customer ID, Date of Purchase (in date format) and
 Amount of Purchase as the attributes.  The function returns a data frame
 with RFM data for the sales information.

Package: r-cran-dief
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flux, r-cran-fmsb, r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-dief_1.2-1.ca2004.1_all.deb
Size: 136780
MD5sum: 01c13acfe452cd2acd1a75034d40f2be
SHA1: e0f5c6673c2823a05292f0f8172f7bedb8e2200f
SHA256: a47119fd7f759104dc8db5d77030ae664b2864c27fa5dbf2e1844efac3a771a7
SHA512: da15e9593aa413cf3f8a27cfc1d977147477f9a63ccbaa2b875236c9a5f5415107b18d549512266ccc8eebede784564078d2297202e322e8cf77f2d8754e02be
Homepage: https://cran.r-project.org/package=dief
Description: CRAN Package 'dief' (Metrics for Continuous Efficiency)
 An implementation of the metrics dief@t and dief@k to measure the
 diefficiency (or continuous efficiency) of incremental approaches, see
 Acosta, M., Vidal, M. E., & Sure-Vetter, Y. (2017)
 <doi:10.1007/978-3-319-68204-4_1>. The metrics dief@t and dief@k allow for
 measuring the diefficiency during an elapsed time period t or while k
 answers are produced, respectively. dief@t and dief@k rely on the
 computation of the area under the curve of answer traces, and thus capturing
 the answer rate concentration over a time interval.

Package: r-cran-dielectric
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dielectric_0.2.3-1.ca2004.1_all.deb
Size: 184104
MD5sum: 25e942e541eb400ac7ba16403d89f076
SHA1: f6aded3a001ace81c42e8e527797ef7bc4962bdc
SHA256: d782fab948109d5756f469ad3b43b60d03ef008efbb817bb6b3110419491b6b5
SHA512: 0861d95bda7cb3e5b90769f1e16277bd09d4713935174189f9199f9e9c7f105fc08362dfda7ee3bba332df08d4d76b05cdf7407d432daa2a60e2a51357128573
Homepage: https://cran.r-project.org/package=dielectric
Description: CRAN Package 'dielectric' (Defines some physical constants and dielectric functionscommonly used in optics, plasmonics)
 Physical constants. Gold, silver and glass permittivities, together with
 spline interpolation functions.

Package: r-cran-diemr
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 928
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-vcfr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diemr_1.4.3-1.ca2004.1_all.deb
Size: 567164
MD5sum: 7b9bca1488293f838299c6764438c6f8
SHA1: a9b3c17d0fd265b0f3769c041c2965b4426d364d
SHA256: 90ab6327a456fc555f3427c2e45aea98ca23fe1b50c7862aef91c11aba067a82
SHA512: 66654dbd720f5e09dca8b8d69c453cdc328fb1598c71058adced0325e374b01f87125f725c3e01d886d4d2a5d7299a0619a0981e63279d47c4484cf6516675fc
Homepage: https://cran.r-project.org/package=diemr
Description: CRAN Package 'diemr' (Diagnostic Index Expectation Maximisation in R)
 Likelihood-based genome polarisation finds which alleles of genomic markers
 belong to which side of the barrier.  Co-estimates which individuals belong
 to either side of the barrier and barrier strength.  Uses expectation
 maximisation in likelihood framework. The method is described in Baird et
 al. (2023) <doi:10.1111/2041-210X.14010>.

Package: r-cran-dietcost
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-readxl, r-cran-rlang, r-cran-dplyr, r-cran-tidyselect, r-cran-xlsx, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-dietcost_1.0.0.0-1.ca2004.1_all.deb
Size: 267796
MD5sum: 8330c740a25881e2319fd0e7f93d8917
SHA1: 145e5a7c390c196bd8f6e61d394bbe89dfcf52db
SHA256: 85afb60ad3fd331bc2bb65c6b977d7c7e07948fae22abda2817abbb612d112e0
SHA512: 4c32ec848c83030165039c63f02a9e0324e501954dc58b9d81d5042343f75ff7570aa602a429d370825503fb19d522dba2333d5b451504b33d5d7c91fe255628
Homepage: https://cran.r-project.org/package=DIETCOST
Description: CRAN Package 'DIETCOST' (Calculate the Cost and Environmental Impact of a Ideal Diet)
 Easily perform a Monte Carlo simulation to evaluate the cost and carbon,
 ecological, and water footprints of a set of ideal diets. Pre-processing
 tools are also available to quickly treat the data, along with basic
 statistical features to analyze the simulation results — including the
 ability to establish confidence intervals for selected parameters, such as
 nutrients and price/emissions. A 'standard version' of the datasets employed
 is included as well, allowing users easy access to customization. This
 package brings to R the 'Python' software initially developed by
 Vandevijvere, Young, Mackay, Swinburn and Gahegan (2018)
 <doi:10.1186/s12966-018-0648-6>.

Package: r-cran-dietr
Architecture: all
Version: 1.1.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 933
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfishbase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dietr_1.1.6-1-1.ca2004.1_all.deb
Size: 375968
MD5sum: dc32fef2f790dc9c92ee3afa8334417b
SHA1: ffffc9be0af9e67ec0df692e3addc082b29454f6
SHA256: 3901543c11f833a3e830d5b1f801d2c5563a79d90c44d7eca46ec12f9cede63f
SHA512: 4e589ac2e8735db164756e103ea0acc530ff4c99c744eb2a402c93b865da7ce00f44623022305fb1eda9d0776f9247e1f7cc5ba71128c88a4e05fd1697987484
Homepage: https://cran.r-project.org/package=dietr
Description: CRAN Package 'dietr' (Diet Estimated Trophic Levels)
 Estimates fractional trophic level from quantitative and qualitative diet
 data and calculates electivity indices in R. Borstein (2020)
 <doi:10.1007/s10750-020-04417-5>.

Package: r-cran-diezeit
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brew, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-diezeit_0.1-0-1.ca2004.1_all.deb
Size: 128896
MD5sum: 13d9ac6a476b15e7e35ec2dc6031eaa3
SHA1: 635fb59c3edae2c17a27f7f5e50ef112d8c0fd76
SHA256: 47ed6354a09b1032b8434e7e5e9122b952fca386ce42dee51686cfa4451f2964
SHA512: e3899be1abfa537cf49a17586e6c1ea139fd66cf31356dd2c49f553c99806b878eed33e3e68d54bb6ae29dcf6339e51e435293606427137d199dcf338f97458f
Homepage: https://cran.r-project.org/package=diezeit
Description: CRAN Package 'diezeit' (R Interface to the ZEIT ONLINE Content API)
 A wrapper for the ZEIT ONLINE Content API, available at
 <http://developer.zeit.de>. 'diezeit' gives access to articles and
 corresponding metadata from the ZEIT archive and from ZEIT ONLINE. A
 personal API key is required for usage.

Package: r-cran-difboost
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mboost, r-cran-penalized, r-cran-stabs
Filename: pool/dists/focal/main/r-cran-difboost_0.3-1.ca2004.1_all.deb
Size: 30084
MD5sum: cd0321ae61553b4b1d3c01b301277c46
SHA1: fc92bec34cca47f39271000c73f0c688e3f14225
SHA256: 61b2ab361ebdc44dd6720232f4951015ae6e8a3567c8aae97e5ca75b6e4d3875
SHA512: 72580b0586356c6c6314ae37fee3fb296d8a0b930baf8b52f4200ab3417d15318dc6a2d106161a9d6fc7417b185a8887273fc6bd9230508d4034874f286162e9
Homepage: https://cran.r-project.org/package=DIFboost
Description: CRAN Package 'DIFboost' (Detection of Differential Item Functioning (DIF) in Rasch Modelsby Boosting Techniques)
 Performs detection of Differential Item Functioning using the method
 DIFboost as proposed by Schauberger and Tutz (2016)
 <doi:10.1111/bmsp.12060>.

Package: r-cran-difconet
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots, r-cran-stringr, r-cran-data.table, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-difconet_1.0-4-1.ca2004.1_all.deb
Size: 82640
MD5sum: 6ae483ea4737d205106a7fbb90b8754a
SHA1: 2bba0bbb69d5d92cb01cbcb4a0d662fc4339dcd1
SHA256: 59347ce5a989708bfc679ecd1fbb8e4f52908d2dc94cdf35511a1ed7c85e1871
SHA512: 12ed2fb80c3fc412f8e3264c0e3458b9f8507a838e9d9d9cc4c693c6b355000c8b6b2ca92c90a321e9d62d3eeb80dc32140eec636616b9795201ed80e744205c
Homepage: https://cran.r-project.org/package=difconet
Description: CRAN Package 'difconet' (Differential Coexpressed Networks)
 Estimation of DIFferential COexpressed NETworks using diverse and user
 metrics.  This package is basically used for three functions related to the
 estimation of differential coexpression.  First, to estimate differential
 coexpression where the coexpression is estimated, by default, by Spearman
 correlation. For this, a metric to compare two correlation distributions is
 needed. The package includes 6 metrics. Some of them needs a threshold. A
 new metric can also be specified as a user function with specific parameters
 (see difconet.run). The significance is be estimated by permutations.
 Second, to generate datasets with controlled differential correlation data.
 This is done by either adding noise, or adding specific correlation
 structure.  Third, to show the results of differential correlation analyses.
 Please see <http://bioinformatica.mty.itesm.mx/difconet> for further
 information.

Package: r-cran-diffcor
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-diffcor_0.8.4-1.ca2004.1_all.deb
Size: 66648
MD5sum: 22eafccca7643d1425e8ef6e76a9eb47
SHA1: 652957a8422c36427c8a866800856fe4c1f549a0
SHA256: 14d09bc70d1ca77724214946431ab5bc0968ca77ccf1f142c8f4e0551897b523
SHA512: 1ee8ce9069e2e4afb951a544602ab1c7958e66cb747bd67dfb31edd2949f43560651b4ca99350bd5f788c84542fd6836fa5e25d701ee4d68d05dd361e1d0360e
Homepage: https://cran.r-project.org/package=diffcor
Description: CRAN Package 'diffcor' (Fisher's z-Tests Concerning Differences Between Correlations)
 Computations of Fisher's z-tests concerning different kinds of correlation
 differences. The 'diffpwr' family entails approaches to estimating
 statistical power via Monte Carlo simulations. Important to note, the
 Pearson correlation coefficient is sensitive to linear association, but also
 to a host of statistical issues such as univariate and bivariate outliers,
 range restrictions, and heteroscedasticity (e.g., Duncan & Layard, 1973
 <doi:10.1093/BIOMET/60.3.551>; Wilcox, 2013 <doi:10.1016/C2010-0-67044-1>).
 Thus, every power analysis requires that specific statistical prerequisites
 are fulfilled and can be invalid if the prerequisites do not hold. To this
 end, the 'bootcor' family provides bootstrapping confidence intervals for
 the incorporated correlation difference tests.

Package: r-cran-diffcorr
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 846
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fdrtool, r-cran-igraph, r-bioc-multtest, r-bioc-pcamethods
Suggests: r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diffcorr_0.4.5-1.ca2004.1_all.deb
Size: 725316
MD5sum: a5298b2f987ba23505489e4909ae61ed
SHA1: d544143d1187e621547dc3c94ab0c7ca9fdb112a
SHA256: 81abb7c7f0c50474b7d46fbd75a042cb1f9a769daef4796f72a97a09dd9143eb
SHA512: 75936bb3988cad94d0da8f8e859e3c1305c56bac2258ca7d82e8403e9b6df97c46beacf6d747c2b8d29885641a1794c2c3a14a741f98fdacc8170f3f56802e3f
Homepage: https://cran.r-project.org/package=DiffCorr
Description: CRAN Package 'DiffCorr' (Analyzing and Visualizing Differential Correlation Networks inBiological Data)
 A method for identifying pattern changes between 2 experimental conditions
 in correlation networks (e.g., gene co-expression networks), which builds on
 a commonly used association measure, such as Pearson's correlation
 coefficient. This package includes functions to calculate correlation
 matrices for high-dimensional dataset and to test differential correlation,
 which means the changes in the correlation relationship among variables
 (e.g., genes and metabolites) between 2 experimental conditions.

Package: r-cran-diffdepprop
Architecture: all
Version: 0.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-rootsolve, r-cran-propcis
Filename: pool/dists/focal/main/r-cran-diffdepprop_0.1-9-1.ca2004.1_all.deb
Size: 72216
MD5sum: ced256836c4edd0f429a43463bd6872d
SHA1: 32ff1af4286aeea2519fc008c1a06e438561800d
SHA256: 863f5f12def3e3ae22f15b120dd73ee13fd3889ff5d44a660d14d3304563b204
SHA512: 807fdb3679a9cd16fee2a55570a67b62df8361ee85a539c835ab9e80bd6b7b5552501c3c76ead3e55c9958feeef2faa98ffc088d83fae61534713a5911b5392d
Homepage: https://cran.r-project.org/package=diffdepprop
Description: CRAN Package 'diffdepprop' (Calculates Confidence Intervals for two Dependent Proportions)
 The package includes functions to calculate confidence intervals for the
 difference of dependent proportions. There are two functions implemented to
 edit the data (dichotomising with the help of cutpoints, counting accordance
 and discordance of two tests or situations). For the calculation of the
 confidence intervals entries of the fourfold table are needed.

Package: r-cran-diffdf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-dplyr, r-cran-stringi, r-cran-stringr, r-cran-devtools, r-cran-covr, r-cran-bit64
Filename: pool/dists/focal/main/r-cran-diffdf_1.1.1-1.ca2004.1_all.deb
Size: 133200
MD5sum: 726a695fce04ffe19b030e52a832b9f2
SHA1: 877a81807211f94b0accef4aff5369181887bd55
SHA256: aac969e6c33f5de8b2f8661b6c12878d3f80fc68263dc0b60d8197a92935e57e
SHA512: 7250a13adbb75601cfca27f0caefb6597bfffb2c077888bab80577f9a3bb240a4f5a483c7b9dfecd27ac850f5b38b8c05a1d18c0e88719b51bab4d0b52496c81
Homepage: https://cran.r-project.org/package=diffdf
Description: CRAN Package 'diffdf' (Dataframe Difference Tool)
 Functions for comparing two data.frames against each other. The core
 functionality is to provide a detailed breakdown of any differences between
 two data.frames as well as providing utility functions to help narrow down
 the source of problems and differences.

Package: r-cran-diffdfs
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-janitor, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diffdfs_0.9.0-1.ca2004.1_all.deb
Size: 14968
MD5sum: e0259612df50044a94fbf09590e53e22
SHA1: ba0cdbb4c1f4ef169f131f26b4467733efc8e853
SHA256: 1044ecc222e500dd09f91822d1118d5fbf29f6c8823c252166e20cde5a5f06dc
SHA512: c58ab29f5ceea2576a135210b078ecf599b37aa63c444a0f1580cd62800e05beea8bc2c739a019290fd3aefe17cc7d0c297c70150b1dd05d9d42b855271bbe6a
Homepage: https://cran.r-project.org/package=diffdfs
Description: CRAN Package 'diffdfs' (Compute the Difference Between Data Frames)
 Shows you which rows have changed between two data frames with the same
 column structure. Useful for diffing slowly mutating data.

Package: r-cran-diffee
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4074
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-pcapp
Filename: pool/dists/focal/main/r-cran-diffee_1.1.0-1.ca2004.1_all.deb
Size: 4129624
MD5sum: edae5bb9ad73852cfb08a5bfe54480fd
SHA1: 74fb556b1bb81c881e0da148e9de1cc9f50fe8ee
SHA256: 72a336ea24fe3164fc08d0a1774ecd9bf17736f34279deef1dea7be5b1136bc8
SHA512: 9bbeaa5de6fd9d0f83a0658e524187571bb684d63e8a64820584033fa68b7ac59282966dfdbe825744c1bc43394f63aa75f0e325058ac85d98c43c29d4400d04
Homepage: https://cran.r-project.org/package=diffee
Description: CRAN Package 'diffee' (Fast and Scalable Learning of Sparse Changes in High-DimensionalGaussian Graphical Model Structure)
 This is an R implementation of Fast and Scalable Learning of Sparse Changes
 in High-Dimensional Gaussian Graphical Model Structure (DIFFEE). The DIFFEE
 algorithm can be used to fast estimate the differential network between two
 related datasets. For instance, it can identify differential gene network
 from datasets of case and control. By performing data-driven network
 inference from two high-dimensional data sets, this tool can help users
 effectively translate two aggregated data blocks into knowledge of the
 changes among entities between two Gaussian Graphical Model. Please run
 demo(diffeeDemo) to learn the basic functions provided by this package. For
 further details, please read the original paper: Beilun Wang, Arshdeep
 Sekhon, Yanjun Qi (2018) <arXiv:1710.11223>.

Package: r-cran-diffenrich
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1349
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-here, r-cran-rlang, r-cran-stringr, r-cran-reshape2, r-cran-ggnewscale
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-diagram
Filename: pool/dists/focal/main/r-cran-diffenrich_0.1.2-1.ca2004.1_all.deb
Size: 1007332
MD5sum: 0b51acf735939657a70824ad56633742
SHA1: d4bba63e6aa4b4613dc26bb5aee5240a2b2e7be0
SHA256: 563aa126070e1c6ee7fe0d9e0bb18f5adebdf1e4e707765d67e52616d8f859ca
SHA512: 76a24599036ad72febde582314fe9e4be017837e65f7a36cdd4732962dde306d40e900416116b2656ffec0cef4af6d0be644d66163660af5346cda19bae5eeea
Homepage: https://cran.r-project.org/package=diffEnrich
Description: CRAN Package 'diffEnrich' (Given a List of Gene Symbols, Performs Differential EnrichmentAnalysis)
 Compare functional enrichment between two experimentally-derived groups of
 genes or proteins (Peterson, DR., et al.(2018)) <doi:
 10.1371/journal.pone.0198139>. Given a list of gene symbols, 'diffEnrich'
 will perform differential enrichment analysis using the Kyoto Encyclopedia
 of Genes and Genomes (KEGG) REST API. This package provides a number of
 functions that are intended to be used in a pipeline. Briefly, the user
 provides a KEGG formatted species id for either human, mouse or rat, and the
 package will download and clean species specific ENTREZ gene IDs and map
 them to their respective KEGG pathways by accessing KEGG's REST API. KEGG's
 API is used to guarantee the most up-to-date pathway data from KEGG. Next,
 the user will identify significantly enriched pathways from two gene sets,
 and finally, the user will identify pathways that are differentially
 enriched between the two gene sets. In addition to the analysis pipeline,
 this package also provides a plotting function.

Package: r-cran-diffeqr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11067
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-juliacall
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diffeqr_2.1.0-1.ca2004.1_all.deb
Size: 500576
MD5sum: b2e512a70a2cc731b415e0c695965be3
SHA1: 932addba166ea588568773662b15d5b23567ba3e
SHA256: c36dfebd95695f5c7a751add32dd963c009a8a2a58b7b95036947aa7055d7692
SHA512: 8d1c117bea7927e84c5f9c18e9fc7c8b980b1ccf0f1aeef3dd67c55cc73045b1d9aafe41d71983098b2f42d23a7eb4850ad4c26835cbe54899936bd55820b48d
Homepage: https://cran.r-project.org/package=diffeqr
Description: CRAN Package 'diffeqr' (Solving Differential Equations (ODEs, SDEs, DDEs, DAEs))
 An interface to 'DifferentialEquations.jl' <https://diffeq.sciml.ai/dev/>
 from the R programming language.  It has unique high performance methods for
 solving ordinary differential equations (ODE), stochastic differential
 equations (SDE), delay differential equations (DDE), differential-algebraic
 equations (DAE), and more. Much of the functionality, including features
 like adaptive time stepping in SDEs, are unique and allow for multiple
 orders of magnitude speedup over more common methods.  Supports GPUs, with
 support for CUDA (NVIDIA), AMD GPUs, Intel oneAPI GPUs, and Apple's Metal
 (M-series chip GPUs).  'diffeqr' attaches an R interface onto the package,
 allowing seamless use of this tooling by R users. For more information, see
 Rackauckas and Nie (2017) <doi:10.5334/jors.151>.

Package: r-cran-differ
Architecture: all
Version: 0.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1194
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-ggplot2, r-cran-tidyr, r-cran-tidyselect, r-cran-rlang, r-cran-raster
Filename: pool/dists/focal/main/r-cran-differ_0.0-8-1.ca2004.1_all.deb
Size: 361024
MD5sum: 2328687eacdc6bbbafb34fd6fb386e8b
SHA1: 0f4c17072335bc1238f274d41391703628ed8617
SHA256: 7bb42de3acae0ee60c36d41c345c968a8862bea9df9520ae7f27980c0f1ded97
SHA512: bbc84c9c15b8e8effc8cda7454b74387fc6312edf632fb304d3c11cdbec066102bfafc4b7c601bd872cfa087b54e45c0faf574205206114ccbff7b4a985aa9de
Homepage: https://cran.r-project.org/package=diffeR
Description: CRAN Package 'diffeR' (Metrics of Difference for Comparing Pairs of Maps or Pairs ofVariables)
 Metrics of difference for comparing pairs of variables or pairs of maps
 representing real or categorical variables at original and multiple
 resolutions.

Package: r-cran-differentes
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boolnet, r-cran-dot, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-differentes_0.3.2-1.ca2004.1_all.deb
Size: 40632
MD5sum: 7852ffee68ebd33b0278da380231de2f
SHA1: 4d2242106cbf96a2e037c0266ab9f11ea5c08b05
SHA256: 1d56cdc9f502303e142881044c34707153d4ed40f7f9f5347ccacba2b6b880c4
SHA512: 1d4da34f6e2dde2c763c3eef772ab6ff989c605faf8741a13c154b3eaf42e830d5d95e2b77a4c46e09147bd16e9719288d3f1b688dda924bd4ec89026da394fe
Homepage: https://cran.r-project.org/package=diffeRenTES
Description: CRAN Package 'diffeRenTES' (Computation of TES-Based Cell Differentiation Trees)
 Computes the ATM (Attractor Transition Matrix) structure and the tree-like
 structure describing the cell differentiation process (based on the
 Threshold Ergodic Set concept introduced by Serra and Villani), starting
 from the Boolean networks with synchronous updating scheme of the 'BoolNet'
 R package. TESs (Threshold Ergodic Sets) are the mathematical abstractions
 that represent the different cell types arising during ontogenesis. TESs and
 the powerful model of biological differentiation based on Boolean networks
 to which it belongs have been firstly described in "A Dynamical Model of
 Genetic Networks for Cell Differentiation" Villani M, Barbieri A, Serra R
 (2011) A Dynamical Model of Genetic Networks for Cell Differentiation. PLOS
 ONE 6(3): e17703.

Package: r-cran-diffmeshgp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-diffmeshgp_0.1.0-1.ca2004.1_all.deb
Size: 20240
MD5sum: 505544642ddb9844d988bab6164a900b
SHA1: 4a6f2c6f2920d80aa79b720a00ae6f4e9d0af0cc
SHA256: 8dc78f12731fe7533498a81a361706268171019efe528b5a5842b973ca26db2e
SHA512: 001eabae7d41d90d3ce88b24db34ba786076eaa288f78b1ba215edd2147ae7b17cf855a9d3496027c4fe5b7eafe21de562dd86d5c9a17e04969875860c7a2c1d
Homepage: https://cran.r-project.org/package=diffMeshGP
Description: CRAN Package 'diffMeshGP' (Multi-Fidelity Computer Experiments Using the Tuo-Wu-Yu Model)
 This R function implements the nonstationary Kriging model proposed by Tuo,
 Wu and Yu (2014) <DOI:10.1080/00401706.2013.842935> for analyzing
 multi-fidelity computer outputs. This function computes the maximum
 likelihood estimates for the model parameters as well as the predictive
 means and variances of the exact solution (i.e., the conceptually highest
 fidelity).

Package: r-cran-diffnet
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-assertthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-diffnet_1.0.2-1.ca2004.1_all.deb
Size: 28324
MD5sum: 836fe419a43e67ab80740d4f5e0b9e56
SHA1: c6e196f9419ac92f19ed03e1fa09c37ec2be529b
SHA256: 11e90d47fa28fabcf82f84f777750fbc5936b615458b2c23dfe7335bf1e0daa6
SHA512: 6753347189d670fbb9e961911a885101957dee34641baf4a0290479d6d3143311e9b4ba34fab10c69c8ad506cb5955aa14f9f2be7a674658fee9d2beb46dd057
Homepage: https://cran.r-project.org/package=DiffNet
Description: CRAN Package 'DiffNet' (Identifying Significant Node Scores using Network DiffusionAlgorithm)
 Designed for network analysis, leveraging the personalized PageRank
 algorithm to calculate node scores in a given graph. This innovative
 approach allows users to uncover the importance of nodes based on a
 customized perspective, making it particularly useful in fields like
 bioinformatics, social network analysis, and more.

Package: r-cran-diffpriv
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 885
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsl
Suggests: r-cran-randomnames, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diffpriv_0.4.2-1.ca2004.1_all.deb
Size: 703600
MD5sum: 37011e9e4196c374bdc91521f5b88327
SHA1: f8af8581fdf85325103f57ae63867549ce34f17f
SHA256: f4b0f4aad435dc5c073b9d0dcf7cdd15b1b70ecbdd126c60b8ad2791e370b7d8
SHA512: ab9aa7e9f962e22e62117564b71f8b52c42c41db9bf16e348d990b606a9d2123c121046c58311e2286d112793ea9cb44844deb83eb6ed4f0ec28d783bba61541
Homepage: https://cran.r-project.org/package=diffpriv
Description: CRAN Package 'diffpriv' (Easy Differential Privacy)
 An implementation of major general-purpose mechanisms for privatizing
 statistics, models, and machine learners, within the framework of
 differential privacy of Dwork et al. (2006) <doi:10.1007/11681878_14>.
 Example mechanisms include the Laplace mechanism for releasing numeric
 aggregates, and the exponential mechanism for releasing set elements. A
 sensitivity sampler (Rubinstein & Alda, 2017) <arXiv:1706.02562> permits
 sampling target non-private function sensitivity; combined with the generic
 mechanisms, it permits turn-key privatization of arbitrary programs.

Package: r-cran-diffr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-diffr_0.3.0-1.ca2004.1_all.deb
Size: 71860
MD5sum: 62ef047e71176310e54b1c7c8282aab2
SHA1: 972664fbdef916693b41fcf1df4dd673e7321b94
SHA256: f336bf863c5454eed94e38aa3bfadd748e5390d0bcc111bf372122454bd3bf3d
SHA512: 451f2ff97d9cc0d08fe4492427cffd75be4027d9ca5a2714045ddcb575e19b2f4492028fc737d09e11a26fd74ebd764f6b095d075d1273a75473da3067db40aa
Homepage: https://cran.r-project.org/package=diffr
Description: CRAN Package 'diffr' (Display Differences Between Two Files using Codediff Library)
 An R interface to the 'codediff' JavaScript library (a copy of which is
 included in the package, see <https://github.com/danvk/codediff.js> for
 information).  Allows for visualization of the difference between 2 files,
 usually text files or R scripts, in a browser.

Package: r-cran-diffusion
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nloptr, r-cran-systemfit, r-cran-optimx
Filename: pool/dists/focal/main/r-cran-diffusion_0.4.0-1.ca2004.1_all.deb
Size: 142300
MD5sum: 1d5f7939c64dd9287113cd7882808e9a
SHA1: 46e500e7bf240c6338b34da19afe68f465c6b23f
SHA256: e6257cdfcd8f44cf93973aadb4a3eece232d6717655bc68fdc5e139044c99afc
SHA512: fb6a04b0e945d8577408a7169402bd33d2bbb7fbd55e528be8f5f59c2dc07bd2680be63e072e3bd39e390683c0e0b5d3a9babb4afab2d1f1a39e6a01cafa2909
Homepage: https://cran.r-project.org/package=diffusion
Description: CRAN Package 'diffusion' (Forecast the Diffusion of New Products)
 Various diffusion models to forecast new product growth. Currently the
 package contains Bass, Gompertz, Gamma/Shifted Gompertz and Weibull curves.
 See Meade and Islam (2006) <doi:10.1016/j.ijforecast.2006.01.005>.

Package: r-cran-diffusionmap
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d, r-cran-igraph, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-diffusionmap_1.2.0-1.ca2004.1_all.deb
Size: 84220
MD5sum: a4bac01a8b4613d583070d608ee09a18
SHA1: bdad56d9f4a709842ff167e96001d46316899691
SHA256: e39af1d67503bba9c3c7efc4f0988fe9a444fe76eb0d27f84489d04a8e312632
SHA512: 28be9072080c826e45752c4cdbb1349a6b11a90988d46468419ee7210478f29e25052f65f7d6d4f7636b1f603629dd644412710f681e6b95e8c1dfc4b312035d
Homepage: https://cran.r-project.org/package=diffusionMap
Description: CRAN Package 'diffusionMap' (Diffusion Map)
 Implements diffusion map method of data parametrization, including creation
 and visualization of diffusion map, clustering with diffusion K-means and
 regression using adaptive regression model.  Richards (2009)
 <doi:10.1088/0004-637X/691/1/32>.

Package: r-cran-diffval
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-diffval_1.1.0-1.ca2004.1_all.deb
Size: 156384
MD5sum: 372d202efee6659f2e40bb6e1c11e229
SHA1: 7cf474e175534ca33e07037b3a4e96a44c828735
SHA256: cc8ce9348dcb0a42716436566a94d4b088f8becf34291f384003f61f8976cf52
SHA512: 713bb85306cf784eeed3b5d9842394a12bf7dc870b321d25a5f9ef42234f8aac3622fd5d6ff2ab3bb0935752bbc90d66f367bbe7995676c23f0a8569cbd360a9
Homepage: https://cran.r-project.org/package=diffval
Description: CRAN Package 'diffval' (Vegetation Patterns)
 Find, visualize and explore patterns of differential taxa in vegetation data
 (namely in a phytosociological table), using the Differential Value
 (DiffVal). Patterns are searched through mathematical optimization
 algorithms. Ultimately, Total Differential Value (TDV) optimization aims at
 obtaining classifications of vegetation data based on differential taxa, as
 in the traditional geobotanical approach.  The Gurobi optimizer, as well as
 the R package 'gurobi', can be installed from
 <https://www.gurobi.com/products/gurobi-optimizer/>.  The useful vignette
 Gurobi Installation Guide, from package 'prioritizr', can be found here:
 <https://prioritizr.net/articles/gurobi_installation_guide.html>.

Package: r-cran-diffviewer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-diffviewer_0.1.2-1.ca2004.1_all.deb
Size: 158288
MD5sum: c47143eb4454899d905a1c7a98a3f1db
SHA1: 5913175f844f1543cae7b02c42bf1061fc7fc683
SHA256: 2bd396fb8f23939f11cb6b6a7a54fdb1fb99741611731781dbe1f4dce36d0a2e
SHA512: 64bb2dbe23cd53fc8a84f43ee843ddd694fa5e9ab8b9ad23327ac81258efb8c299d7ca1741957858851820331566497724650c2691d79b17333e7a507c4c8fbf
Homepage: https://cran.r-project.org/package=diffviewer
Description: CRAN Package 'diffviewer' (HTML Widget to Show File Differences)
 A HTML widget that shows differences between files (text, images, and data
 frames).

Package: r-cran-diffxtables
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pander, r-cran-rdpack
Suggests: r-cran-ckmeans.1d.dp, r-cran-funchisq, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diffxtables_0.1.3-1.ca2004.1_all.deb
Size: 162664
MD5sum: 149db138c112a0a1a4e6b5479e15415d
SHA1: 0f54c182bc76036729c791283e9e9332aaf431b3
SHA256: 6a9a560482f7e32fe7315b3fd7ddce2fac4a5de57d1d8f2e4983f03ec527e273
SHA512: cd2dddec62fd95a8340afbf96175db5b724701e0f59ff615c7d228031e6e2b335189c3899b7b78c4c1d5c19eeca26e894631e823f8c936a73390d82a925f5c5c
Homepage: https://cran.r-project.org/package=DiffXTables
Description: CRAN Package 'DiffXTables' (Pattern Analysis Across Contingency Tables)
 Statistical hypothesis testing of pattern heterogeneity via differences in
 underlying distributions across multiple contingency tables. Five tests are
 included: the comparative chi-squared test (Song et al. 2014)
 <doi:10.1093/nar/gku086> (Zhang et al. 2015) <doi:10.1093/nar/gkv358>, the
 Sharma-Song test (Sharma et al. 2021) <doi:10.1093/bioinformatics/btab240>,
 the heterogeneity test, the marginal-change test (Sharma et al.  2020)
 <doi:10.1145/3388440.3412485>, and the strength test (Sharma et al. 2020)
 <doi:10.1145/3388440.3412485>. Under the null hypothesis that row and column
 variables are statistically independent and joint distributions are equal,
 their test statistics all follow an asymptotically chi-squared distribution.
 A comprehensive type analysis categorizes the relation among the contingency
 tables into type null, 0, 1, and 2 (Sharma et al.  2020)
 <doi:10.1145/3388440.3412485>. They can identify heterogeneous patterns that
 differ in either the first order (marginal) or the second order
 (differential departure from independence). Second-order differences reveal
 more fundamental changes than first-order differences across heterogeneous
 patterns.

Package: r-cran-diflasso
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grplasso, r-cran-penalized, r-cran-misctools
Filename: pool/dists/focal/main/r-cran-diflasso_1.0-4-1.ca2004.1_all.deb
Size: 49736
MD5sum: 9fd2a3091dcd9758fca2f30048cb03a9
SHA1: c9ef8f9ed3638165290c5f3493c705cef34c03a7
SHA256: 64d4d248af89bacea8e8e1c78be4badc19cb10fbb74cd21e3b89b0376a089eca
SHA512: 04ff1185835ff5791e317e796a23d188bece5085199b282609e5bedb3fd4b54468298aeaa55d5fadb46b103599af3cae507c8ec629adcc9253033bdfc6aa5a40
Homepage: https://cran.r-project.org/package=DIFlasso
Description: CRAN Package 'DIFlasso' (A Penalty Approach to Differential Item Functioning in RaschModels)
 Performs DIFlasso as proposed by Tutz and Schauberger (2015)
 <doi:10.1007/s11336-013-9377-6>, a method to detect DIF (Differential Item
 Functioning) in Rasch Models. It can handle settings with many variables and
 also metric variables.

Package: r-cran-difnlr
Architecture: all
Version: 1.5.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2547
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-calculus, r-cran-ggplot2, r-cran-msm, r-cran-nnet, r-cran-plyr, r-cran-vgam
Suggests: r-cran-shinyitemanalysis, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-difnlr_1.5.1-4-1.ca2004.1_all.deb
Size: 1521744
MD5sum: 5afba17ebf4c0508c0094ee5ae5b987c
SHA1: cb4bfae85ceabbbea071ac2385b2d0609c8dada0
SHA256: 399a5b13e0fe9cb84e70424576a397f56728ba40b4a61da60f2be21eb62f7a0a
SHA512: 4dfce1ab9a9984633a94ebbb9a2e7597bff82ad87baa6528a7bcbcddb82e946d7f49ead6f217c37c955912ffac2c6527de658b8bcd30b63317d79312a7db8683
Homepage: https://cran.r-project.org/package=difNLR
Description: CRAN Package 'difNLR' (DIF and DDF Detection by Non-Linear Regression Models)
 Detection of differential item functioning (DIF) among dichotomously scored
 items and differential distractor functioning (DDF) among unscored items
 with non-linear regression procedures based on generalized logistic
 regression models (Hladka & Martinkova, 2020, <doi:10.32614/RJ-2020-014>).

Package: r-cran-difplus
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testdataimputation, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-difplus_1.1-1.ca2004.1_all.deb
Size: 66164
MD5sum: 22a277de8de51510e9675380d6b08c51
SHA1: 4db3f299ad6d04de45d7f1d561767a93c43cc38e
SHA256: 3fdcbc3e98554f5b6c40997b925cebd8ffc86536587e378337ee1ef2b39fbfcb
SHA512: c9cbb2efd9549d345a9eb42fc2076a6bbb913b8c9fddb4878ddfd8a08eef6cf89755ba29475307122dff65d25978b82f9e70e06373be7ca8e790f1f82f26b14c
Homepage: https://cran.r-project.org/package=DIFplus
Description: CRAN Package 'DIFplus' (Multilevel Mantel-Haenszel Statistics for Differential ItemFunctioning Detection)
 Clustered or multilevel data structures are common in the assessment of
 differential item functioning (DIF), particularly in the context of
 large-scale assessment programs. This package allows users to implement
 extensions of the Mantel-Haenszel DIF detection procedures in the presence
 of multilevel data based on the work of Begg (1999)
 <doi:10.1111/j.0006-341X.1999.00302.x>, Begg & Paykin (2001)
 <doi:10.1080/00949650108812115>, and French & Finch (2013)
 <doi:10.1177/0013164412472341>.

Package: r-cran-difr
Architecture: all
Version: 6.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1019
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mirt, r-cran-ltm, r-cran-lme4, r-cran-deltaplotr, r-cran-desctools, r-cran-vgam, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-difr_6.0.0-1.ca2004.1_all.deb
Size: 954356
MD5sum: 0ac9e170667a86e327c5005450a021a1
SHA1: 7d8abd151bab1934806547b7143ae44618669a93
SHA256: 972d05ddec8676e3d3930c5a3baad56197f8e42548f45614e19b0ef784cc5d75
SHA512: bfb9a4e4bfbb4bbbd3c69b090a8539548600268546ae1f6afca0c70dc1091dbdb17ba4740e005166dfbf86a9ac55b71e9be0084b52f2a623d5c34f9a2b4dbd00
Homepage: https://cran.r-project.org/package=difR
Description: CRAN Package 'difR' (Collection of Methods to Detect Dichotomous and PolytomousDifferential Item Functioning (DIF))
 Methods to detect differential item functioning (DIF) in dichotomous and
 polytomous items, using both classical and modern approaches. These include
 Mantel-Haenszel procedures, logistic regression (including ordinal models),
 and regularization-based methods such as LASSO. Uniform and non-uniform DIF
 effects can be detected, and some methods support multiple focal groups. The
 package also provides tools for anchor purification, rest score matching,
 effect size estimation, and DIF simulation. See Magis, Beland, Tuerlinckx,
 and De Boeck (2010, Behavior Research Methods, 42, 847–862,
 <doi:10.3758/BRM.42.3.847>) for a general overview.

Package: r-cran-difshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-difr, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-difshiny_0.1.0-1.ca2004.1_all.deb
Size: 25824
MD5sum: a8ecc1e56474652042b86b6b2236d532
SHA1: e15762ee1c95318b840a54d04d592ecbe773a2f3
SHA256: 8180c6dcd5aea6ee73725554bac53a16c930cb63ab76f3b0f8ed977171569e93
SHA512: 9427a88c39b17dfb7dcdda0c543ff0e5c1dd300223b7a851d28a5a5b8e7052a4f30a78bce608c19f8ed41b39d7b43b54cc0ea02ccd9ca778506757ef3d8f3505
Homepage: https://cran.r-project.org/package=DIFshiny
Description: CRAN Package 'DIFshiny' (Differential Item Functioning via Shiny Application)
 Differential Item Functioning (DIF) Analysis with shiny application
 interfaces. You can run the functions in this package without any arguments
 and perform your DIF analysis using user-friendly interfaces.

Package: r-cran-diftree
Architecture: all
Version: 3.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-penalized, r-cran-vgam, r-cran-gridbase, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-diftree_3.1.6-1.ca2004.1_all.deb
Size: 201192
MD5sum: fd1c08eaae464a2738d12db0c5bfed31
SHA1: 31aecd54f6025a8a716d8258adf9ca1e61063591
SHA256: a13c71a995ea0ba6a665d2d73481c2ff83d9163b55bdc06482a6439a1070cfa7
SHA512: c98f697a53f050ffb2a0a53d511cf2803f4de7b5cb90f9861de763cd5acd8009a476dda17bbcf38947db7a4b78c36b79e21a2d632a8887c7920616d995dd7c5b
Homepage: https://cran.r-project.org/package=DIFtree
Description: CRAN Package 'DIFtree' (Item Focussed Trees for the Identification of Items inDifferential Item Functioning)
 Item focussed recursive partitioning for simultaneous selection of items and
 variables that induce Differential Item Functioning (DIF) in dichotomous or
 polytomous items.

Package: r-cran-digestivedatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1158
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-digestivedatasets_0.1.0-1.ca2004.1_all.deb
Size: 659684
MD5sum: dceaa5198b318a34e9f4004f9091f157
SHA1: b2b9170646c611e62507fb02c172bf2dc9dbecd3
SHA256: 97c93b0c9ac31350616a7b000617adf00932dd2857b8c8ebfd1170415bbeaac8
SHA512: e60e61a45276c5c5e38b19c76b07feb872efb50c5662a0b809de8290824a382a8749af3040717bc65128ff7fba47d7c6243688f853e2c013b36e5e66c22d4c7c
Homepage: https://cran.r-project.org/package=DigestiveDataSets
Description: CRAN Package 'DigestiveDataSets' (A Curated Collection of Digestive System and GastrointestinalDisease Datasets)
 Provides an extensive and curated collection of datasets related to the
 digestive system, stomach, intestines, liver, pancreas, and associated
 diseases.  This package includes clinical trials, observational studies,
 experimental datasets, cohort data, and case series involving
 gastrointestinal disorders such as gastritis, ulcers, pancreatitis, liver
 cirrhosis, colon cancer, colorectal conditions, Helicobacter pylori
 infection, irritable bowel syndrome, intestinal infections, and
 post-surgical outcomes.  The datasets support educational, clinical, and
 research applications in gastroenterology, public health, epidemiology, and
 biomedical sciences.  Designed for researchers, clinicians, data scientists,
 students, and educators interested in digestive diseases, the package
 facilitates reproducible analysis, modeling, and hypothesis testing using
 real-world and historical data.

Package: r-cran-digirhythm
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-readr, r-cran-magrittr, r-cran-dplyr, r-cran-xts, r-cran-pracma, r-cran-ggplot2, r-cran-lubridate, r-cran-stringr, r-cran-zoo, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-digirhythm_2.4-1.ca2004.1_all.deb
Size: 1680624
MD5sum: c74fda26096533f67c39c2f98fac221e
SHA1: 12ffd59d0b8ea6af72847ab52e59364263617424
SHA256: 50e7e2dc501d88eafeb1f8906df2be4e0923eafb91f24adda81d4ddcde69f76a
SHA512: d021e3cef130d5705cf87f7ca5ce6e55d986e2d09e3ba2ab49acfc64f19ad1dff734d30db5eef14dee248f378222eb374fdd4371e0c230d999c330b20c684009
Homepage: https://cran.r-project.org/package=digiRhythm
Description: CRAN Package 'digiRhythm' (Analyzing Animal's Rhythmicity)
 Analyze and visualize the rhythmic behavior of animals using the degree of
 functional coupling (See Scheibe (1999) <doi:10.1076/brhm.30.2.216.1420>),
 compute and visualize harmonic power, actograms, average activity and
 diurnality index.

Package: r-cran-digitaldlsorter
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-grr, r-cran-matrix, r-cran-tidyr, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-zinbwave, r-cran-pbapply, r-bioc-s4vectors, r-cran-dplyr, r-cran-reshape2, r-cran-gtools, r-cran-reticulate, r-cran-keras, r-cran-tensorflow, r-cran-ggplot2, r-cran-ggpubr, r-bioc-scran, r-bioc-scuttle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocparallel, r-bioc-rhdf5, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-hdf5array, r-bioc-complexheatmap, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-digitaldlsorter_1.1.0-1.ca2004.1_all.deb
Size: 1187872
MD5sum: 8de5eb80e4dbb494c3ed7c375ad6a7ff
SHA1: 7b289bbdd4b72810c6bc4f113621d95180dfb62e
SHA256: f147590dbb986731aa203caddb28c02619a487e1702fcba4a03f7d8a54e0cd17
SHA512: 04872d77dda0133937751d848ae256b0a9f4f0392db963989ca34b858a224d85beb4bd109ca5c4a044a43bceb19983e6ae7aa0959051418d1b4d70928c52006e
Homepage: https://cran.r-project.org/package=digitalDLSorteR
Description: CRAN Package 'digitalDLSorteR' (Deconvolution of Bulk RNA-Seq Data Based on Deep Learning)
 Deconvolution of bulk RNA-Seq data using context-specific deconvolution
 models based on Deep Neural Networks using scRNA-Seq data as input. These
 models are able to make accurate estimates of the cell composition of bulk
 RNA-Seq samples from the same context using the advances provided by Deep
 Learning and the meaningful information provided by scRNA-Seq data. See
 Torroja and Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> for more
 details.

Package: r-cran-digitalpcr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-digitalpcr_1.1.0-1.ca2004.1_all.deb
Size: 16556
MD5sum: 9382c1ef0e4197a5328881befa07be6d
SHA1: 0854c3a28fc00025029af07fb10bb11e5a55a58b
SHA256: 37e5fea358ec626deeb678036413301ff8421ee2f144fb501a7b0f6297c7ea8b
SHA512: 31a0d317573d65699f1de104581bb92a4c3f03aeaf9c31628a098a5a1c5f36c0e375aab57f0e3ae1b46aa444ec4aabdce6fded9bd1e7f842163035ccb33c75a0
Homepage: https://cran.r-project.org/package=digitalPCR
Description: CRAN Package 'digitalPCR' (Estimate Copy Number for Digital PCR)
 The assay sensitivity is the minimum number of copies that the digital PCR
 assay can detect. Users provide serial dilution results in the format of
 counts of positive and total reaction wells. The output is the estimated
 assay sensitivity and the copy number per well in the initial dilute.

Package: r-cran-digitize
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readbitmap
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-digitize_0.0.4-1.ca2004.1_all.deb
Size: 23068
MD5sum: 0016c2af2999a54180fb81b06496e8a8
SHA1: a04a12c18e95c1ea4b6c977651b8d3782c102655
SHA256: af9c52eb363a9cab2f9ab42ef09e89727158acee458d2f91f65fbe2d39ce9088
SHA512: 49b92e8038cac33c86f81435f4a4b4914f76795971dcc3479abc07710b76987d9cda00cadfb29675a6b36a8b693128c064828f57756e464658f713a72959bbdf
Homepage: https://cran.r-project.org/package=digitize
Description: CRAN Package 'digitize' (Use Data from Published Plots in R)
 Import data from a digital image; it requires user input for calibration and
 to locate the data points. The end result is similar to 'DataThief' and
 other other programs that 'digitize' published plots or graphs.

Package: r-cran-digittests
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-benford.analysis, r-cran-benfordtests, r-cran-beyondbenford, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-digittests_0.1.2-1.ca2004.1_all.deb
Size: 85440
MD5sum: 9a490571dd04a6a00420a4b27bbb67ea
SHA1: ed185b6ba2086508b33ae3d37b1303f080043b6a
SHA256: 2dc5daf8c85e664f06a58ff3ef137ed1e9dde0aecc69fdd9d7a5fad193feee84
SHA512: cba2069594bb36bf9101652af68870aa78ce0788a9747bcff2a9a115f2c9c2d7e3811ad14bf09e6968d80910c95b9a9d3aeedcde929c8cec6aba7abe28d5d672
Homepage: https://cran.r-project.org/package=digitTests
Description: CRAN Package 'digitTests' (Tests for Detecting Irregular Digit Patterns)
 Provides statistical tests and support functions for detecting irregular
 digit patterns in numerical data. The package includes tools for extracting
 digits at various locations in a number, tests for repeated values, and
 (Bayesian) tests of digit distributions.

Package: r-cran-digss
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-viridis, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-digss_1.0.2-1.ca2004.1_all.deb
Size: 142688
MD5sum: 5b4b56379352ab90692294edb5257b66
SHA1: ddcf71dd83f091905e1e15a4ce4b5fafb24c2765
SHA256: f355494d4ad681116f17f69d16cd4ccc2a3b11327ac7877046942ae1b6a6b64c
SHA512: f7a018d4124b763ee3e8b3f80b5b53d4ddce9bd85d96e99fceb8bd36e79b2c0a96c05909814ae0ad6ad3edeb3681d8a19ebdf33e2fbf101a8f30aca506898027
Homepage: https://cran.r-project.org/package=DIGSS
Description: CRAN Package 'DIGSS' (Determination of Intervals Using Georeferenced Survey Simulation)
 Simulation tool to estimate the rate of success that surveys possessing
 user-specific characteristics have in identifying archaeological sites (or
 any groups of clouds of objects), given specific parameters of survey area,
 survey methods, and site properties. The survey approach used is largely
 based on the work of Kintigh (1988) <doi:10.2307/281113>.

Package: r-cran-dilp
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dilp_1.1.0-1.ca2004.1_all.deb
Size: 137096
MD5sum: 1f2dfdc7c441d874557558d05239c1ea
SHA1: 91435ba7c4766302b1745c127f8ec5a6c6bb09e6
SHA256: 9ff2114f15ea24e4e117c76cbde56396e76e1268ab14295aa45ee0d03dbbf60d
SHA512: 31ef1c2e678ec3995843c61e146ef39009920ad6bc609503ca4b6c1bba35e8a98c1c17a3ee73ba95d531bafa19c0d3c2a8fe28692e4cf022d5a970ce494987cb
Homepage: https://cran.r-project.org/package=dilp
Description: CRAN Package 'dilp' (Reconstruct Paleoclimate and Paleoecology with Leaf Physiognomy)
 Use leaf physiognomic methods to reconstruct mean annual temperature (MAT),
 mean annual precipitation (MAP), and leaf dry mass per area (Ma), along with
 other useful quantitative leaf traits. Methods in this package described in
 Lowe et al. (in review).

Package: r-cran-dimensio
Architecture: all
Version: 0.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2310
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arkhe, r-cran-khroma
Suggests: r-cran-fontquiver, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-dimensio_0.14.0-1.ca2004.1_all.deb
Size: 1181852
MD5sum: 68f059606205c55668eff2f09ff5fa4e
SHA1: d1323c2804cdf88fdd7f0c4b4ca75e2016c200e6
SHA256: ca389d8264af71db1681796e82eb38c35ef3ef642a308966778235c5724dffe7
SHA512: d3f8815fad5c0c7c0cb100211df192b2bb786321645802f113778a04060b97799666254123b51d929f95e1f3cf9d5218903d9da614fd50e414fe2f86256868ef
Homepage: https://cran.r-project.org/package=dimensio
Description: CRAN Package 'dimensio' (Multivariate Data Analysis)
 Simple Principal Components Analysis (PCA) and (Multiple) Correspondence
 Analysis (CA) based on the Singular Value Decomposition (SVD). This package
 provides S4 classes and methods to compute, extract, summarize and visualize
 results of multivariate data analysis. It also includes methods for partial
 bootstrap validation described in Greenacre (1984, ISBN: 978-0-12-299050-2)
 and Lebart et al. (2006, ISBN: 978-2-10-049616-7).

Package: r-cran-dimensionalanalysis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caracas, r-cran-hash, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-dimensionalanalysis_0.1.0-1.ca2004.1_all.deb
Size: 15380
MD5sum: 3afeafed1a86e431b6532d917913e02d
SHA1: 9ae9bc5b104dbe5b8dd5b6a3527033515f4cbb96
SHA256: b7cf103ae726cc3bb90b13fef006984732c6b6e1382cb226334ed482a28fdbab
SHA512: 7b1ff7278f2fe2500c7782453f4fd3a0c4bd52b6129ceaf5245cbd561bf822c864d80ab330540ecd0fddc1a09b88a07a7e06cb4a72d2bac4b3dfd7e2b6953e5d
Homepage: https://cran.r-project.org/package=dimensionalAnalysis
Description: CRAN Package 'dimensionalAnalysis' (Dimensional Analysis)
 Performs Rayleigh's method of dimensional analysis.  This form of
 dimensional analysis expresses a functional relationship of some variables
 in the form of an exponential equation (Buckingham, (1914),
 <doi:10.1103/PhysRev.4.345>).

Package: r-cran-dimensionsr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-bibliometrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dimensionsr_0.0.3-1.ca2004.1_all.deb
Size: 72712
MD5sum: 07ce45282aabdb0f5c221e53d310efa7
SHA1: 884c1ad0ec2ad72ff9a8befc052fff74baed61b6
SHA256: bff4ceb019980d270b33d8bed2facce53fe1fa9aaa4be37ff58c5f3eae1dbff6
SHA512: 2a5c73366cbfe71817f3f3a9dd906b1f01e784dbdbb9aa32730edd317162ce6a10d976697551144a0fc74c0ccb011db2d153b296e0c451429e1be8bbd258842d
Homepage: https://cran.r-project.org/package=dimensionsR
Description: CRAN Package 'dimensionsR' (Gathering Bibliographic Records from 'Digital ScienceDimensions' Using 'DSL' API)
 A set of tools to extract bibliographic content from 'Digital Science
 Dimensions' using 'DSL' API <https://www.dimensions.ai/dimensions-apis/>.

Package: r-cran-dimodels
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 563
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-hnp, r-cran-rootsolve, r-cran-multcomp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dimodels_1.3.2-1.ca2004.1_all.deb
Size: 396576
MD5sum: 8f68ca97fc3d2e65fc63fcb01eea2666
SHA1: f0b018ef4da91173a8e50307e9cdaaf3d7113547
SHA256: 00aa3243eee471fc2d4b1e188473186d1451a5d159ed2f186f678e9dae055278
SHA512: d7e3d46c566a0ad214ec5259568c11536e8c38d105dece444467342cba7f609d6a9d8109d233ec42aeba7c3619ac3cbc109036ca927d47bd603bbf741c139beb
Homepage: https://cran.r-project.org/package=DImodels
Description: CRAN Package 'DImodels' (Diversity-Interactions (DI) Models)
 The 'DImodels' package is suitable for analysing data from biodiversity and
 ecosystem function studies using the Diversity-Interactions (DI) modelling
 approach introduced by Kirwan et al. (2009) <doi:10.1890/08-1684.1>.
 Suitable data will contain proportions for each species and a
 community-level response variable, and may also include additional factors,
 such as blocks or treatments. The package can perform data manipulation
 tasks, such as computing pairwise interactions (the DI_data() function), can
 perform an automated model selection process (the autoDI() function) and has
 the flexibility to fit a wide range of user-defined DI models (the DI()
 function).

Package: r-cran-dimodelsmulti
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 868
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dimodels, r-cran-plyr, r-cran-dplyr, r-cran-nlme, r-cran-reshape2, r-cran-knitr, r-cran-matrix
Suggests: r-cran-cli, r-cran-fansi, r-cran-crayon, r-cran-rmarkdown, r-cran-ggplot2, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dimodelsmulti_1.1.1-1.ca2004.1_all.deb
Size: 522828
MD5sum: ab0166fad2aec94c9a935ea339a1759f
SHA1: 9539b49729e4749e2a6b9a1c2178e35566cbc312
SHA256: 5c413182ddf03c3d25e5971c5e6695fcdffbd0c04ba0dc309ff976e6bfe3d92b
SHA512: f6e97fe85449a14f70cee3b70f880db4913c24e8e703e34a41b9bcadf2d47de88f763f8b786e8bf70aa473c6b5613121bb8b020f3d40f7bc81a8b3ba9eb1279f
Homepage: https://cran.r-project.org/package=DImodelsMulti
Description: CRAN Package 'DImodelsMulti' (Fit Multivariate Diversity-Interactions Models with RepeatedMeasures)
 An add-on package to 'DImodels' for the fitting of biodiversity and
 ecosystem function relationship study data with multiple ecosystem function
 responses and/or time points. This package uses the multivariate and
 repeated measures Diversity-Interactions (DI) methods developed by Kirwan et
 al. (2009) <doi:10.1890/08-1684.1>, Finn et al. (2013)
 <doi:10.1111/1365-2664.12041>, and Dooley et al. (2015)
 <doi:10.1111/ele.12504>.

Package: r-cran-dimodelsvis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dimodels, r-cran-dplyr, r-cran-forcats, r-cran-ggfortify, r-cran-ggplot2, r-cran-ggtext, r-cran-glue, r-cran-insight, r-cran-metr, r-cran-pieglyph, r-cran-plotwidgets, r-cran-rlang, r-cran-scales, r-cran-tidyr
Suggests: r-cran-dimodelsmulti, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dimodelsvis_1.0.1-1.ca2004.1_all.deb
Size: 813104
MD5sum: c8100a0a3f6af752317245c2354798ee
SHA1: 048f649315f34e0dae5e4a48652a468afef2e9de
SHA256: 252edd84bd8bc54b34ae1eb514a9cf88cdf9eea889d23b08c8201ce03bd11893
SHA512: 9a080cd84fc80e636f5227f84b082c6f1ade9949f8166b6535a72f38d77f940ab7be8e6f6be63f13bafce156c6b5a77cffaac3c2d8f42c754b9c9aa14ea3fef0
Homepage: https://cran.r-project.org/package=DImodelsVis
Description: CRAN Package 'DImodelsVis' (Visualising and Interpreting Statistical Models Fit toCompositional Data)
 Statistical models fit to compositional data are often difficult to
 interpret due to the sum to 1 constraint on data variables. 'DImodelsVis'
 provides novel visualisations tools to aid with the interpretation of models
 fit to compositional data. All visualisations in the package are created
 using the 'ggplot2' plotting framework and can be extended like every other
 'ggplot' object.

Package: r-cran-dimora
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-minpack.lm, r-cran-numderiv, r-cran-forecast, r-cran-reshape2, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-dimora_0.3.6-1.ca2004.1_all.deb
Size: 116536
MD5sum: 7adc3d62973dc872fdce763ff24eed3b
SHA1: dc9143fa0d7ba44ee7f4486b6a9f25b2f1a23376
SHA256: 41448291936b5076351cbe8bea2e324d07a2271d15747c580ecd6d2c086b3b4e
SHA512: c9fec643513805a54b2e3d7668c6873338531f8d1dbe7a541be7e5d15d263622543ba9a54869052b6b74e7dd0b26e021c546afca2a49963370d6e0e5947b9a43
Homepage: https://cran.r-project.org/package=DIMORA
Description: CRAN Package 'DIMORA' (Diffusion Models R Analysis)
 The implemented methods are: Standard Bass model, Generalized Bass model
 (with rectangular shock, exponential shock, and mixed shock. You can choose
 to add from 1 to 3 shocks), Guseo-Guidolin model and Variable Potential
 Market model, and UCRCD model. The Bass model consists of a simple
 differential equation that describes the process of how new products get
 adopted in a population, the Generalized Bass model is a generalization of
 the Bass model in which there is a "carrier" function x(t) that allows to
 change the speed of time sliding. In some real processes the reachable
 potential of the resource available in a temporal instant may appear to be
 not constant over time, because of this we use Variable Potential Market
 model, in which the Guseo-Guidolin has a particular specification for the
 market function. The UCRCD model (Unbalanced Competition and Regime Change
 Diachronic) is a diffusion model used to capture the dynamics of the
 competitive or collaborative transition.

Package: r-cran-dinamic.duo
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biomart, r-cran-dinamic, r-cran-plyr, r-cran-curl
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dinamic.duo_1.0.3-1.ca2004.1_all.deb
Size: 1331200
MD5sum: 87070e4118d5605375b843c9a8708ffb
SHA1: 07c6c6f24b9d760215769f873ec05b7ce293f65f
SHA256: 20b2d03ba9c4279093640020913cb0f57c3be2d751eb111ac954b039bb9245c5
SHA512: eba83ecf85c3c2218c0011c8fa0137bdab5bb46c990e605399fd6c4abe08bbadabc895a36824da6e5ce2dc7e8024a43db5596065ae43730f4f58514f574d04b9
Homepage: https://cran.r-project.org/package=DiNAMIC.Duo
Description: CRAN Package 'DiNAMIC.Duo' (Finding Recurrent DNA Copy Number Alterations and Differences)
 In tumor tissue, underlying genomic instability can lead to DNA copy number
 alterations, e.g., copy number gains or losses. Sporadic copy number
 alterations occur randomly throughout the genome, whereas recurrent
 alterations are observed in the same genomic region across multiple
 independent samples, perhaps because they provide a selective growth
 advantage. Here we use cyclic shift permutations to identify recurrent copy
 number alterations in a single cohort or recurrent copy number differences
 in two cohorts based on a common set of genomic markers.  Additional
 functionality is provided to perform downstream analyses, including the
 creation of summary files and graphics. DiNAMIC.Duo builds upon the original
 DiNAMIC package of Walter et al.  (2011) <doi:10.1093/bioinformatics/btq717>
 and leverages the theory developed in Walter et al.  (2015)
 <doi:10.1093/biomet/asv046>. An article describing DiNAMIC.Duo by Walter et
 al. (2022) can be found at <doi: 10.1093/bioinformatics/btac542>.

Package: r-cran-dinamic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dinamic_1.0.1-1.ca2004.1_all.deb
Size: 136232
MD5sum: 678460afd94f44887f9370aeeb33df71
SHA1: 7fed60bb3e13069d46cd0b9d54ba32b2a5d49ef0
SHA256: 562d2aa35fe4f968493f0dae3c4df2f47200cf04f83f75543b5918325217347f
SHA512: ca1a011b4c21b4c324df5f117ff071c95317d65f294f911eb00f8cc2e2f74ea7f592125e98b75a7206def3e839342c30fb1aa69374f3f85e32ede0bb372422de
Homepage: https://cran.r-project.org/package=dinamic
Description: CRAN Package 'dinamic' (A Method to Analyze Recurrent DNA Copy Number Aberrations inTumors)
 In tumor tissue, underlying genomic instability can lead to DNA copy number
 alterations, e.g., copy number gains or losses. Sporadic copy number
 alterations occur randomly throughout the genome, whereas recurrent
 alterations are observed in the same genomic region across multiple
 independent samples, perhaps because they provide a selective growth
 advantage.  This package implements the DiNAMIC procedure for assessing the
 statistical significance of recurrent DNA copy number aberrations
 (Bioinformatics (2011) 27(5) 678 - 685).

Package: r-cran-dineq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-dineq_0.1.0-1.ca2004.1_all.deb
Size: 217324
MD5sum: 1c060e6ea12e6f26d64ce56d7dc247b0
SHA1: edf28c90f527a22c94350bd6aa7e96a019d1b0f3
SHA256: 1e951ec01131672b8652180fda4c845a467aeeb7dd6724ac0d430318bb56ccbb
SHA512: da75355cab0e231407cdd938cb6f7a4f281d0fe0468873369e98e691f8b5f7aad4217ff840e4b68bbf2094345dba2bb355504497bff0647c111dd598c7694ef0
Homepage: https://cran.r-project.org/package=dineq
Description: CRAN Package 'dineq' (Decomposition of (Income) Inequality)
 Decomposition of (income) inequality by population sub groups.  For a
 decomposition on a single variable the mean log deviation can be used (see
 Mookherjee Shorrocks (1982) <DOI:10.2307/2232673>).  For a decomposition on
 multiple variables a regression based technique can be used (see Fields
 (2003) <DOI:10.1016/s0147-9121(03)22001-x>).  Recentered influence function
 regression for marginal effects of the (income or wealth) distribution (see
 Firpo et al. (2009) <DOI:10.3982/ECTA6822>).  Some extensions to inequality
 functions to handle weights and/or missings.

Package: r-cran-diner
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-progress, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diner_1.0.1-1.ca2004.1_all.deb
Size: 62176
MD5sum: 4b768eca9388ff2302de045fc061af62
SHA1: 8a9a250dc7646ad5072f5fa85def80c1eac62825
SHA256: 909c330814a60cd360998f34f121a64f04b25f51ce01db553610088a29f4f7da
SHA512: 7994067d9d584d365b1d499417c312f0ae730561cfb3abe9856b2f93d7041315b86944f7f3c655ef34b1791effaacd9fd5b3c675e7e3f728d864832d51293585
Homepage: https://cran.r-project.org/package=dineR
Description: CRAN Package 'dineR' (Differential Network Estimation in R)
 An efficient and convenient set of functions to perform differential network
 estimation through the use of alternating direction method of multipliers
 optimization with a variety of loss functions.

Package: r-cran-dint
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-dint_2.1.5-1.ca2004.1_all.deb
Size: 254624
MD5sum: 855090a81926b62e6d83de9abd9e1f52
SHA1: ca5f262a337bce97e6e79d3aae3ece8797c106af
SHA256: 9ef9be63263b8c66d3ce600c688f67800e5eb553edfb35cff68cc6fe4fcf6829
SHA512: e22ffd0be6a8a9f6b60195505761c62c1673bad9f7919e68627a2bcc563d9b5a10a84424f6450222003064425ce4b1d968018910f34f9e0fa41e70e7eaa7aa03
Homepage: https://cran.r-project.org/package=dint
Description: CRAN Package 'dint' (A Toolkit for Year-Quarter, Year-Month and Year-Isoweek Dates)
 S3 classes and methods to create and work with year-quarter, year-month and
 year-isoweek vectors. Basic arithmetic operations (such as adding and
 subtracting) are supported, as well as formatting and converting to and from
 standard R date types.

Package: r-cran-dipalm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4977
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-limma, r-cran-wgcna, r-cran-ggplot2
Suggests: r-bioc-edger
Filename: pool/dists/focal/main/r-cran-dipalm_1.2-1.ca2004.1_all.deb
Size: 4100280
MD5sum: f12a38c5c81aa0ad31ea8b54df43cdd3
SHA1: 3ff40dbf991dcc5c5766b7e210dd53eb29903550
SHA256: 4b71db9cfaf806d484f4c192ed0b7c84c9d20726c8ce578b909be807c2640ea9
SHA512: 0e97c9bb28ee2679c14c85121c6a3362f5c0c8e7cdb90ea757a2fd0ccb3071d3291a7a67b5483f2e93cad6defb0b33169ad8e22d03b0688f5d264a871d37aa12
Homepage: https://cran.r-project.org/package=DiPALM
Description: CRAN Package 'DiPALM' (Differential Pattern Analysis via Linear Modeling)
 Individual gene expression patterns are encoded into a series of eigenvector
 patterns ('WGCNA' package). Using the framework of linear model-based
 differential expression comparisons ('limma' package), time-course
 expression patterns for genes in different conditions are compared and
 analyzed for significant pattern changes. For reference, see: Greenham K,
 Sartor RC, Zorich S, Lou P, Mockler TC and McClung CR. eLife. 2020 Sep
 30;9(4). <doi:10.7554/eLife.58993>.

Package: r-cran-diphiseq
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-diphiseq_0.2.0-1.ca2004.1_all.deb
Size: 54776
MD5sum: 901dfa070cdc4c2ba30e9a4b05a67d79
SHA1: 3d20b476c21866fcce96f94f8293eee7dc89b521
SHA256: fb5be03bf8ea3e16214473608bd953ba277e9eef989473d5da64bd139ec2321f
SHA512: 6ccd9ccb3e7d5d26620d6cc19245f2bdd8d24d310773a8f906d26fee9dde1eec4787c1216b3f6cfe6a88dbbe43822a978d9d928059c9975a6d138e4a51d56dac
Homepage: https://cran.r-project.org/package=DiPhiSeq
Description: CRAN Package 'DiPhiSeq' (Robust Tests for Differential Dispersion and DifferentialExpression in RNA-Sequencing Data)
 Implements the algorithm described in Jun Li and Alicia T. Lamere,
 "DiPhiSeq: Robust comparison of expression levels on RNA-Seq data with large
 sample sizes" (Unpublished).  Detects not only genes that show different
 average expressions ("differential expression", DE), but also genes that
 show different diversities of expressions in different groups
 ("differentially dispersed", DD). DD genes can be important clinical
 markers. 'DiPhiSeq' uses a redescending penalty on the quasi-likelihood
 function, and thus has superior robustness against outliers and other noise.
 Updates from version 0.1.0: (1) Added the option of using adaptive initial
 value for phi.  (2) Added a function for estimating the proportion of
 outliers in the data.  (3) Modified the input parameter names for clarity,
 and modified the output format for the main function.

Package: r-cran-diproperm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-usethis, r-cran-ggplot2, r-cran-lemon, r-cran-gridextra, r-cran-dplyr, r-cran-dwdlarger, r-cran-e1071, r-cran-matrix, r-cran-sparsem, r-cran-sampling
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diproperm_0.2.0-1.ca2004.1_all.deb
Size: 296132
MD5sum: 61a316b4cfa73f5393bccda547396f15
SHA1: 145244eb575ea2f9b3b9958033b4bbde5e8c1afb
SHA256: 3d9c0182f4ffb887b6482d07452d5f738f25f538ae07da941b3387e847e3e462
SHA512: 2b32a6cd74ea5ea59650b9699d42ecb772355fc7ec013c2e0707f1bdb355716d8ab41eb1c4bfa6c5bc6964cc29bf8a2998e16213eaf5df2f44a15ffde28695b1
Homepage: https://cran.r-project.org/package=diproperm
Description: CRAN Package 'diproperm' (Conduct Direction-Projection-Permutation Tests and Display Plots)
 Conducts a direction-projection-permutation test and displays diagnostic
 plots to facilitate the visual assessment of the test. See Wei et al. (2016)
 <doi:10.1080/10618600.2015.1027773> and Lam et al. (2018)
 <doi:10.1080/10618600.2017.1366915> for more details.

Package: r-cran-dips
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plyr, r-cran-mvnfast, r-cran-rlemon
Suggests: r-cran-optmatch
Filename: pool/dists/focal/main/r-cran-dips_0.6.4-1.ca2004.1_all.deb
Size: 127404
MD5sum: b0d04cb27bcf86afe4e0da1bb0e171e0
SHA1: f438f5b55035cb8359e32f3b5c93844b00b63244
SHA256: d226d75eb8dbe128dc2c3bd33f08eb73a938239dfc34df77e9179d81c40b636e
SHA512: 6499b4c89ef95497a73a72421d4f9b8c48467a9f13c38c110fe5db6d99fa5ca5a4419f458fc41b67333ffcfb1e49e8d0840bcd4308bf09820aa8e7c32022cbde
Homepage: https://cran.r-project.org/package=DiPs
Description: CRAN Package 'DiPs' (Directional Penalties for Optimal Matching in ObservationalStudies)
 Improves the balance of optimal matching with near-fine balance by giving
 penalties on the unbalanced covariates with the unbalanced directions. Many
 directional penalties can also be viewed as Lagrange multipliers, pushing a
 matched sample in the direction of satisfying a linear constraint that would
 not be satisfied without penalization.  Yu and Rosenbaum (2019)
 <doi:10.1111/biom.13098>.

Package: r-cran-dipw
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-rmosek, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dipw_0.1.0-1.ca2004.1_all.deb
Size: 36628
MD5sum: 628ec193fa42f978f29b438af1ba1d87
SHA1: 5a34069aaa080fea5fda650efcec5e49ffb97774
SHA256: 0e3f79496ff8211c64a92b4e3779cc482de41ffbf76117000bc6bca1e145d24d
SHA512: 8376c85f3e58a2294bb635558d3f0e3865a261466cab524a81b03f69337e4e4ffe3191b161a6245b19a4352e5223faa85af9b2a90a6a2d7c759c40fb80769266
Homepage: https://cran.r-project.org/package=dipw
Description: CRAN Package 'dipw' (Debiased Inverse Propensity Score Weighting)
 Estimation of the average treatment effect when controlling for
 high-dimensional confounders using debiased inverse propensity score
 weighting (DIPW). DIPW relies on the propensity score following a sparse
 logistic regression model, but the regression curves are not required to be
 estimable. Despite this, our package also allows the users to estimate the
 regression curves and take the estimated curves as input to our methods.
 Details of the methodology can be found in Yuhao Wang and Rajen D. Shah
 (2020) "Debiased Inverse Propensity Score Weighting for Estimation of
 Average Treatment Effects with High-Dimensional Confounders"
 <arXiv:2011.08661>. The package relies on the optimisation software 'MOSEK'
 <https://www.mosek.com/> which must be installed separately; see the
 documentation for 'Rmosek'.

Package: r-cran-dir2json
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3806
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-fs, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dir2json_0.1.0-1.ca2004.1_all.deb
Size: 3781108
MD5sum: 499f4c92388a6dd8b2d805eb5ee4c9e3
SHA1: daacfa55a02848bc06611c20a21069d1d49fbd7f
SHA256: b2b16146a38c3c7d76dc115555ac71ae5258cf37919f47cfdf5c1e1b0a8b4e1d
SHA512: e0d9e6c92e99a5a85812957a3514eae02390b5d232594b4480a4aa8cfb9cc1ba33408f0f9261c9043dc74a23cb0510c41a56fa8de5072c4787d88b0f5ec810b8
Homepage: https://cran.r-project.org/package=dir2json
Description: CRAN Package 'dir2json' (Convert Directory to JSON)
 Convert a directory structure into a JSON format. This package lets you
 recursively traverse a directory and convert its contents into a JSON
 object, making it easier to import code base from file systems into large
 language models.

Package: r-cran-directedclustering
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-igraph
Filename: pool/dists/focal/main/r-cran-directedclustering_1.0.0-1.ca2004.1_all.deb
Size: 38712
MD5sum: ded0b078fca576181dc2f1d70f625f61
SHA1: d6f15c851b5e132377c00929eec50e207b24f82b
SHA256: bd9b3f2d68224e72407930c4f0bfa8751522a5c936dae5b4ec767c0c5ff71c38
SHA512: 3f8c324fb6c5fc3ffc8e30172ab6f422ce939ea0b23ff0cf4b8ee0451b2d5f2a86630a3f9c1ec8d25e7a75d4d74481d9f53b05170b43a92af351ffbf5849f992
Homepage: https://cran.r-project.org/package=DirectedClustering
Description: CRAN Package 'DirectedClustering' (Directed Weighted Clustering Coefficient)
 Allows the computation of clustering coefficients for directed and weighted
 networks by using different approaches.  It allows to compute clustering
 coefficients that are not present in 'igraph' package.  A description of
 clustering coefficients can be found in "Directed clustering in weighted
 networks: a new perspective", Clemente, G.P., Grassi, R. (2017),
 <doi:10.1016/j.chaos.2017.12.007>.

Package: r-cran-directeffects
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-glue, r-cran-matching, r-cran-generics, r-cran-rlang, r-cran-broom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyverse, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-testthat, r-cran-nnet, r-cran-glmnet, r-cran-hdm, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-directeffects_0.3-1.ca2004.1_all.deb
Size: 766596
MD5sum: f0b4f288558d7e066ed67a67cdb70597
SHA1: 995e831a3dd1dc4db8a6e4ed288af1680aba247d
SHA256: dc94e977c39b1593d87899f8db4eba1e1667850362a38a337170747f07a9898b
SHA512: c964dd9c327a5a0b68ebaab9da61cb7be0fd7922d001c777ec1f1e3f92e4915c7a17a802215105d63d5baf766b6986254fe99b8194ea3d13f0733a54c54fd717
Homepage: https://cran.r-project.org/package=DirectEffects
Description: CRAN Package 'DirectEffects' (Estimating Controlled Direct Effects for Explaining CausalFindings)
 A set of functions to estimate the controlled direct effect of treatment
 fixing a potential mediator to a specific value. Implements the sequential
 g-estimation estimator described in Vansteelandt (2009)
 <doi:10.1097/EDE.0b013e3181b6f4c9> and Acharya, Blackwell, and Sen (2016)
 <doi:10.1017/S0003055416000216> and the telescope matching estimator
 described in Blackwell and Strezhnev (2020) <doi:10.1111/rssa.12759>.

Package: r-cran-directional
Architecture: all
Version: 7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1002
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigstatsr, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-rfast, r-cran-rfast2, r-cran-rnanoflann, r-cran-rgl, r-cran-rnaturalearth, r-cran-sf
Suggests: r-cran-bigreadr
Filename: pool/dists/focal/main/r-cran-directional_7.1-1.ca2004.1_all.deb
Size: 938412
MD5sum: ecea0daf863e4706dceaaf026e14f649
SHA1: a563972b6a9ccccf64855394ee6a0d48b581d84b
SHA256: 7db0e8ac99e37a2a5245481b5b3cf22df82d9386868e2dfcee4bc3b78d66b1bb
SHA512: 23bd54fc8e1ba63f71bab53c542594e2922c8fa95a06a478562ef9d248cd67484e399d0372ce9b5c6e4c650284675782018d604ccaa966536145f9d78ee35af2
Homepage: https://cran.r-project.org/package=Directional
Description: CRAN Package 'Directional' (A Collection of Functions for Directional Data Analysis)
 A collection of functions for directional data (including massive data, with
 millions of observations) analysis.  Hypothesis testing, discriminant and
 regression analysis, MLE of distributions and more are included.  The
 standard textbook for such data is the "Directional Statistics" by Mardia,
 K. V. and Jupp, P. E. (2000).  Other references include: a) Paine J.P.,
 Preston S.P., Tsagris M. and Wood A.T.A. (2018). "An elliptically symmetric
 angular Gaussian distribution". Statistics and Computing 28(3): 689-697.
 <doi:10.1007/s11222-017-9756-4>.  b) Tsagris M. and Alenazi A. (2019).
 "Comparison of discriminant analysis methods on the sphere". Communications
 in Statistics: Case Studies, Data Analysis and Applications 5(4):467--491.
 <doi:10.1080/23737484.2019.1684854>.  c) Paine J.P., Preston S.P., Tsagris
 M. and Wood A.T.A. (2020). "Spherical regression models with general
 covariates and anisotropic errors". Statistics and Computing 30(1):
 153--165. <doi:10.1007/s11222-019-09872-2>.  d) Tsagris M. and Alenazi A.
 (2024). "An investigation of hypothesis testing procedures for circular and
 spherical mean vectors". Communications in Statistics-Simulation and
 Computation, 53(3): 1387--1408. <doi:10.1080/03610918.2022.2045499>.  e) Yu
 Z. and Huang X. (2024). A new parameterization for elliptically symmetric
 angular Gaussian distributions of arbitrary dimension. Electronic Journal of
 Statistics, 18(1): 301--334. <doi:10.1214/23-EJS2210>.  f) Tsagris M. and
 Alzeley O. (2024). "Circular and spherical projected Cauchy distributions: A
 Novel Framework for Circular and Directional Data Modeling". Australian &
 New Zealand Journal of Statistics (Accepted for publication).
 <doi:10.1111/anzs.12434>.  g) Tsagris M., Papastamoulis P. and Kato S.
 (2024). "Directional data analysis: spherical Cauchy or Poisson kernel-based
 distribution". Statistics and Computing (Accepted for publication).
 <doi:10.48550/arXiv.2409.03292>.

Package: r-cran-directlabels
Architecture: all
Version: 2025.6.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 904
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-quadprog
Suggests: r-cran-mass, r-cran-knitr, r-cran-markdown, r-cran-inlinedocs, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-rlang, r-cran-lattice, r-cran-alphahull, r-cran-nlme, r-cran-lars, r-cran-latticeextra, r-cran-dplyr, r-cran-ggthemes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-directlabels_2025.6.24-1.ca2004.1_all.deb
Size: 738160
MD5sum: 70e9ddbe843b55f213cb67f17f3f92a4
SHA1: 87ebaff62ce3d3ef32f064ec07cf44f9255e0afb
SHA256: a6c040a49e6b37ebedc82e220f6bb8d39387edba2a5c7a723d114e0bcd9078c0
SHA512: 9fb4d64b5c30bca59258493d4a8489dc2a96f354ff5d49a9e4c3aba6ed166eb5570cfe7de7eddb7838555ba31e0bc074aa9eaa6efab4d9f17406ebb5becf270f
Homepage: https://cran.r-project.org/package=directlabels
Description: CRAN Package 'directlabels' (Direct Labels for Multicolor Plots)
 An extensible framework for automatically placing direct labels onto
 multicolor 'lattice' or 'ggplot2' plots.  Label positions are described
 using Positioning Methods which can be re-used across several different
 plots.  There are heuristics for examining "trellis" and "ggplot" objects
 and inferring an appropriate Positioning Method.

Package: r-cran-directotree
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-collapsibletree, r-cran-data.tree
Filename: pool/dists/focal/main/r-cran-directotree_1.0.0-1.ca2004.1_all.deb
Size: 19596
MD5sum: e48dd9ba5a18b6c5ba84ff2e8bda4493
SHA1: 5aa81157dcac56f6a32a4ef92ae4068b1420d41b
SHA256: fb22b39a802dd5de7466d5bbdbadd04687778f420ed51f761894059e04e6372b
SHA512: 089793c9b29ba17d00a1131e2d81a225885ccfb9a0e9450bd00fe82aeecbe5c43bd47a973077847cd26afb1d033cc801fb4705f1a437f6f5bd314a501c2364fb
Homepage: https://cran.r-project.org/package=directotree
Description: CRAN Package 'directotree' (Creates an Interactive Tree Structure of a Directory)
 Represents the content of a directory as an interactive collapsible tree.
 Offers the possibility to assign a text (e.g., a 'Readme.txt') to each
 folder (represented as a clickable node), so that when the user hovers the
 pointer over a node, the corresponding text is displayed as a tooltip.

Package: r-cran-directpa
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotly, r-cran-calibrate
Filename: pool/dists/focal/main/r-cran-directpa_1.5.1-1.ca2004.1_all.deb
Size: 301884
MD5sum: f5f80d414b8a9f5428c8f3610fa5c231
SHA1: 8e727dd23fc96de640ee649546254f5935210c6e
SHA256: d7d3a2fd91ff9c311cb5d4ac71f5ff75f86cb61f9c615d23b6add7e996dd69dc
SHA512: 9bbed37be9c8c8823a0e364d5f3025a730adc0b9d582a71698dc64125e43ecf6d1e3c42494bf2c5a1a28f08e23e7494a94be7436eeb17df86d17dc7a3113b774
Homepage: https://cran.r-project.org/package=directPA
Description: CRAN Package 'directPA' (Direction Analysis for Pathways and Kinases)
 Direction analysis is a set of tools designed to identify combinatorial
 effects of multiple treatments/conditions on pathways and kinases profiled
 by microarray, RNA-seq, proteomics, or phosphoproteomics data. See Yang P et
 al (2014) <doi:10.1093/bioinformatics/btt616>; and Yang P et al. (2016)
 <doi:10.1002/pmic.201600068>.

Package: r-cran-directstandardisation
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-directstandardisation_1.3-1.ca2004.1_all.deb
Size: 39500
MD5sum: 3dae1719b4e7697cf317e388729daedc
SHA1: 981982ddb364e40592af26f4794e7cd5c5b29f03
SHA256: 371070426680f470f04f4dc925e700610b742234667fc06c4a116e788882c104
SHA512: 4216c0688cf0d931c88606bdf99842eccab400bef2176a4ad9debd1dcba09d872a90a169dced379a87b2a2a22a4cecdd88537d0b3abd2ba32f50a1b2ac3b31fb
Homepage: https://cran.r-project.org/package=DirectStandardisation
Description: CRAN Package 'DirectStandardisation' (Adjusted Means and Proportions by Direct Standardisation)
 Calculate adjusted means and proportions of a variable by groups defined by
 another variable by direct standardisation, standardised to the structure of
 the dataset.

Package: r-cran-dirichletprocess
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 981
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gtools, r-cran-ggplot2, r-cran-mvtnorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-dirichletprocess_0.4.2-1.ca2004.1_all.deb
Size: 769180
MD5sum: ef5a63aa401a8e18f29547cf07e0abc6
SHA1: 67ecb764b31621f6088c632417c90dcd049faacf
SHA256: fb3f9db51c654b03c4e360596aa56b7ead38e4e1c356f08032c7a58e1b370c27
SHA512: 63c7dc911dd2d5f978202bd1ab8c52dabbede40c61d8691826cc4fe6e7f2b051d5e46be343d68662e4917f161ba7518fd6435f8a58d10095b7f9fe2eb9ff36f6
Homepage: https://cran.r-project.org/package=dirichletprocess
Description: CRAN Package 'dirichletprocess' (Build Dirichlet Process Objects for Bayesian Modelling)
 Perform nonparametric Bayesian analysis using Dirichlet processes without
 the need to program the inference algorithms.  Utilise included pre-built
 models or specify custom models and allow the 'dirichletprocess' package to
 handle the Markov chain Monte Carlo sampling.  Our Dirichlet process objects
 can act as building blocks for a variety of statistical models including and
 not limited to: density estimation, clustering and prior distributions in
 hierarchical models.  See Teh, Y. W. (2011)
 <https://www.stats.ox.ac.uk/~teh/research/npbayes/Teh2010a.pdf>, among many
 other sources.

Package: r-cran-dirmcmc
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcse
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dirmcmc_1.3.3-1.ca2004.1_all.deb
Size: 125252
MD5sum: a9ed93b386ff00832f585695a9b68458
SHA1: 78b5f98104acd68485b981fe0fab17aab6b5595c
SHA256: 219daf5e5135879e01608261f09d1f18c596cd5f2e53ca49bb90d5843e424720
SHA512: 35fb2f1c31788bc7ebfb183951cec0edc2194294ab767f4833eb6a17162abc41fa89b13ff76f3e69e73dc890a0e81370c9f4efe9ce0bcf59bd9c6096c64d9955
Homepage: https://cran.r-project.org/package=dirmcmc
Description: CRAN Package 'dirmcmc' (Directional Metropolis Hastings Algorithm)
 Implementation of Directional Metropolis Hastings Algorithm for MCMC.

Package: r-cran-dirmr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lava, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-dirmr_0.5.0-1.ca2004.1_all.deb
Size: 122864
MD5sum: 52f1b0163e9553cfcf4453d9ad9f06a3
SHA1: dc90fcd2ee6fa3072c38573a851ac2c32ddc6205
SHA256: ff5f4b44f12bf432bc8d1c0cc2b7383ebe43bfa5d2786df149203139a885c75f
SHA512: 65d5c552349df6b96348e569cc1be1a8409ed67860d54645e2c4111d23ce5754f2f11a27eca949aaa2abc26034f71f2fba33800a7b8ed227630a1cfb3cd94ca5
Homepage: https://cran.r-project.org/package=DIRMR
Description: CRAN Package 'DIRMR' (Distributed Imputation for Random Effects Models with MissingResponses)
 By adding over-relaxation factor to PXEM (Parameter Expanded Expectation
 Maximization) method, the MOPXEM (Monotonically Overrelaxed Parameter
 Expanded Expectation Maximization) method is obtained. Compare it with the
 existing EM (Expectation-Maximization)-like methods. Then, distribute and
 process five methods and compare them, achieving good performance in
 convergence speed and result quality.The philosophy of the package is
 described in Guo G. (2022) <doi:10.1007/s00180-022-01270-z>.

Package: r-cran-dirmult
Architecture: all
Version: 0.1.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dirmult_0.1.3-5-1.ca2004.1_all.deb
Size: 74092
MD5sum: 15700ea4210b57f3e2ff4bea784a9840
SHA1: 331d467949e595468aa75b254f8e15ab8cb63351
SHA256: a7517cc0a1281f64367bd1840abc82e4222d73dde425d5bd0ad65da00c9ef652
SHA512: 599a5cd71192ca89a16e97e1f791ea5ed66f8c9a2200169433ba6f8ca0e1faf964bb2ac03c51142c9aec9edb4467f6bd238f42b071955dee22d63cd8abe0e8e8
Homepage: https://cran.r-project.org/package=dirmult
Description: CRAN Package 'dirmult' (Estimation in Dirichlet-Multinomial Distribution)
 Estimate parameters in Dirichlet-Multinomial and compute log-likelihoods.

Package: r-cran-dirttee
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-expectreg, r-cran-formula.tools, r-cran-mass, r-cran-matrix, r-cran-mgcv, r-cran-nloptr, r-cran-provenance, r-cran-rlang, r-cran-survival
Filename: pool/dists/focal/main/r-cran-dirttee_1.0.2-1.ca2004.1_all.deb
Size: 233100
MD5sum: 2482a6db0f1531594b09bb8ee8305a91
SHA1: c499e41a3160b10e8120c1b51c6ae4f7485a4e4e
SHA256: 7dc3a5cba7ac1fc1e3a10427818808fcc330ec095fb576efd97be0c98107f76d
SHA512: e8d12cc0bf7a80106a228ebde80780fb7168e5912b150b1c1bdc467bb5cf6f6221f6a95407814606fd3b3d11be2e65ecf90144f2e9eb30062f24aca78a1809ee
Homepage: https://cran.r-project.org/package=dirttee
Description: CRAN Package 'dirttee' (Distributional Regression for Time to Event Data)
 Semiparametric distributional regression methods (expectile, quantile and
 mode regression) for time-to-event variables with right-censoring; uses
 inverse probability of censoring weights or accelerated failure time models
 with auxiliary likelihoods. Expectile regression using inverse probability
 of censoring weights has been introduced in Seipp et al. (2021) ``Weighted
 Expectile Regression for Right-Censored Data'' <doi:10.1002/sim.9137>, mode
 regression for time-to-event variables has been introduced in Seipp et al.
 (2022) ``Flexible Semiparametric Mode Regression for Time-to-Event Data''
 <doi:10.1177/09622802221122406>.

Package: r-cran-disagg2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-polynomf
Filename: pool/dists/focal/main/r-cran-disagg2_0.1.0-1.ca2004.1_all.deb
Size: 19196
MD5sum: afa5d23a23d3a60dd154e393ac31a623
SHA1: 62635e0ca5542ff1fc0b5e7c1a3112d4e2d7fe45
SHA256: 5fb5622f931492aa2202fb21063de3bc930da30bbe098762b7849aa80fb3cc28
SHA512: 4e183dc3f1f275473287b99360d50db7898445def1f8e9141ece2e9e05ce97c9b9e9376639fd3afffc275439499345fbe64e26d1f4a410b9e848917d37555ffa
Homepage: https://cran.r-project.org/package=disagg2
Description: CRAN Package 'disagg2' (Support Functions for Time Series Analysis Book)
 Contains the support functions for the Time Series Analysis book.  We
 present a function to calculate MSE and MAE for inputs of actual and
 forecast values.  We also have the code for disaggregation as found in Wei
 and Stram (1990, <doi:10.1111/j.2517-6161.1990.tb01799.x>), and Hodgess and
 Wei (1996, "Temporal Disaggregation of Time Series").

Package: r-cran-disaggr
Architecture: all
Version: 1.0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-shiny, r-cran-shinytest2, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-disaggr_1.0.5.3-1.ca2004.1_all.deb
Size: 846412
MD5sum: 8025e4b939d91e28fbc74aa993ae134d
SHA1: 349027669cdf1c260af307c5cb012475e235b0d9
SHA256: 2a4f0e7970fbf72cd0dea150b69146c78ce3c877947e860c8eb0aab4232346f5
SHA512: 48f2d4a2c430b1f78cb48f8e2101f6d7040037cba32a2702b99e6b3f5f1a3dfdf6951723ae87a1ec2362552b6f51b23d1ada42990b8f87f286c814d81c47bd98
Homepage: https://cran.r-project.org/package=disaggR
Description: CRAN Package 'disaggR' (Two-Steps Benchmarks for Time Series Disaggregation)
 The twoStepsBenchmark() and threeRuleSmooth() functions allow you to
 disaggregate a low-frequency time series with higher frequency time series,
 using the French National Accounts methodology. The aggregated sum of the
 resulting time series is strictly equal to the low-frequency time series
 within the benchmarking window. Typically, the low-frequency time series is
 an annual one, unknown for the last year, and the high frequency one is
 either quarterly or monthly. See "Methodology of quarterly national
 accounts", Insee Méthodes N°126, by Insee (2012, ISBN:978-2-11-068613-8,
 <https://www.insee.fr/en/information/2579410>).

Package: r-cran-disaggregatets
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-matrix, r-cran-lars, r-cran-zoo, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-readxl, r-cran-corrplot, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-disaggregatets_3.0.1-1.ca2004.1_all.deb
Size: 148308
MD5sum: 29e6244a8c727e27d70ab44070674dae
SHA1: 938751afcffdb1b3d7719d75a5801275a59cfd14
SHA256: b79acc8405ea73120ad90ee2ff9c416cc92fe9acec3827bf7878778b4ce98225
SHA512: b5b4a3878171e360de1dc20955d94bc30eb5007c387f5acf4ec66d93fa0a7e6e74e02aa3afdced52802030cee252e6b9ad4e5cf069b5e100a8839d2af0311979
Homepage: https://cran.r-project.org/package=DisaggregateTS
Description: CRAN Package 'DisaggregateTS' (High-Dimensional Temporal Disaggregation)
 Provides tools for temporal disaggregation, including: (1) High-dimensional
 and low-dimensional series generation for simulation studies; (2) A toolkit
 for temporal disaggregation and benchmarking using low-dimensional indicator
 series as proposed by Dagum and Cholette (2006, ISBN:978-0-387-35439-2); (3)
 Novel techniques by Mosley, Gibberd, and Eckley (2022,
 <doi:10.1111/rssa.12952>) for disaggregating low-frequency series in the
 presence of high-dimensional indicator matrices.

Package: r-cran-disastr.api
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-disastr.api_1.0.6-1.ca2004.1_all.deb
Size: 20464
MD5sum: 9a950d8641ffcdfcf043c689a9d9b807
SHA1: a556120fb04b24c8b6a1582f7060ea4b892a8d8e
SHA256: b66374d04b443b1b2956fece06610968e69d3f91975b8967caf853d00b1a64d5
SHA512: b912d0663ea98ae8d9732f52607bc01a4781a816cfcecece8c6f411b3d64a296ef88262340d0074e2f1d6bf6d2ee50c5dda38c19da1d49c8e8bcf22c969c4efb
Homepage: https://cran.r-project.org/package=disastr.api
Description: CRAN Package 'disastr.api' (Wrapper for the UN OCHA ReliefWeb Disaster Events API)
 Access and manage the application programming interface (API) of the United
 Nations Office for the Coordination of Humanitarian Affairs' (OCHA)
 ReliefWeb disaster events at <https://reliefweb.int/disasters>. The package
 requires a minimal number of dependencies. It offers functionality to
 retrieve a user-defined sample of disaster events from ReliefWeb, providing
 an easy alternative to scraping the ReliefWeb website. It enables a seamless
 integration of regular data updates into the research work flow.

Package: r-cran-discauc
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discauc_1.0.3-1.ca2004.1_all.deb
Size: 77600
MD5sum: 156154aeb3a47f8a85efe67bc5aca588
SHA1: 4d9b41a821ce03cee6f1204e92cb45f5151e7b23
SHA256: 210771022f1db4c8637e97158bb69d471ed06187633cd0f059923a7928a9b447
SHA512: d89ea6bee31c8d6e1ef097cffff228c65804615f5ab0f98acf5941e6760e10cd0b5ee99451d6ca5241eb9d96950cf6b0da0e2ef15b92c8caf46d5ce1dd62f853
Homepage: https://cran.r-project.org/package=discAUC
Description: CRAN Package 'discAUC' (Linear and Non-Linear AUC for Discounting Data)
 Area under the curve (AUC; Myerson et al., 2001)
 <doi:10.1901/jeab.2001.76-235> is a popular measure used in discounting
 research. Although the calculation of AUC is standardized, there are
 differences in AUC based on some assumptions.  For example, Myerson et al.
 (2001) <doi:10.1901/jeab.2001.76-235> assumed that (with delay discounting
 data) a researcher would impute an indifference point at zero delay equal to
 the value of the larger, later outcome.  However, this practice is not
 clearly followed. This imputed zero-delay indifference point plays an
 important role in log and ordinal versions of AUC.  Ordinal and log versions
 of AUC are described by Borges et al. (2016)<doi:10.1002/jeab.219>.  The
 package can calculate all three versions of AUC [and includes a new version:
 IHS(AUC)], impute indifference points when x = 0, calculate ordinal AUC in
 the case of Halton sampling of x-values, and account for probability
 discounting AUC.

Package: r-cran-discbio
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1444
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-tscan, r-cran-httr, r-cran-mclust, r-cran-statmod, r-cran-igraph, r-cran-rweka, r-cran-vegan, r-cran-netindices, r-cran-png, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-rpart, r-cran-fpc, r-cran-cluster, r-cran-rpart.plot, r-cran-tsne, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-bioc-impute, r-cran-withr
Suggests: r-cran-testthat, r-cran-seurat
Filename: pool/dists/focal/main/r-cran-discbio_1.2.2-1.ca2004.1_all.deb
Size: 1176156
MD5sum: ff0c6ae521f58ffc8c4419ad62e0f8fc
SHA1: 67573956814226b8743938d18d09cb334413c82c
SHA256: b79e726745c42fa4cefcb3134db32902dbdb3f371def71ad64aa58ba4feec8c7
SHA512: ca429f4e2422b458c2e10e54d03c2773e22c0dc8c9ab616a23f3035d9688d861eed750735b44fb653cbb878f077916153b13a1d3ae0801d5963eff03b4a87cab
Homepage: https://cran.r-project.org/package=DIscBIO
Description: CRAN Package 'DIscBIO' (A User-Friendly Pipeline for Biomarker Discovery in Single-CellTranscriptomics)
 An open, multi-algorithmic pipeline for easy, fast and efficient analysis of
 cellular sub-populations and the molecular signatures that characterize
 them. The pipeline consists of four successive steps: data pre-processing,
 cellular clustering with pseudo-temporal ordering, defining differential
 expressed genes and biomarker identification. More details on Ghannoum et.
 al. (2021) <doi:10.3390/ijms22031399>. This package implements extensions of
 the work published by Ghannoum et. al. (2019) <doi:10.1101/700989>.

Package: r-cran-discfa
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-discfa_1.0.1-1.ca2004.1_all.deb
Size: 184916
MD5sum: 8369f643a3eee8673670b4c34ccef107
SHA1: ff4c41ece6dfb7e2aab81c780fc751ea835f409d
SHA256: 03a04befeec2fc2499a37d06858c9057afe934b1ab3786cd115b2efdcfc2e86f
SHA512: 621d2df66178ea79c58bd790a5284632336c33d0d459457970ddb268088daabd057a6ac0a882e65f2435ae4be03e542f6bbe86b21e4f057c9030cae570a454b8
Homepage: https://cran.r-project.org/package=discFA
Description: CRAN Package 'discFA' (Discrete Factor Analysis)
 Discrete factor analysis for dependent Poisson and negative binomial models
 with truncation, zero inflation, and zero inflated truncation.

Package: r-cran-discfrail
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-matrix, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-discfrail_0.2-1.ca2004.1_all.deb
Size: 392448
MD5sum: 8602e0e69db9339f7f74f3c5ebce3040
SHA1: 104f7c84f9c9248e11e5dead5281d242616f96ee
SHA256: cb0775dce7145f3e93064c9b72f7371625483fb06f876731dd4c2fb01487d428
SHA512: 81fc3a08196398fa4bb55d4279ece8c2e27acf831baaf905f6e12deeac35956835b26d24f6203056b75c72d48ab08851f62add11206f18eaa61f1e80d63f1629
Homepage: https://cran.r-project.org/package=discfrail
Description: CRAN Package 'discfrail' (Cox Models for Time-to-Event Data with Nonparametric DiscreteGroup-Specific Frailties)
 Functions for fitting Cox proportional hazards models for grouped
 time-to-event data, where the shared group-specific frailties have a
 discrete nonparametric distribution. The methods proposed in the package is
 described by Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H.,
 Sharples, L. (2018) <doi:10.1093/biostatistics/kxy071>. There are also
 functions for simulating from these models, with a nonparametric or a
 parametric baseline hazard function.

Package: r-cran-discgolf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discgolf_0.2.0-1.ca2004.1_all.deb
Size: 66432
MD5sum: a10669210308b8320d7d0e4b1df4563a
SHA1: 7747b0d1ec7a2a44a5c7e8e50d3c5fb839540c31
SHA256: c49d7bb598971252379f489f1e6e9c73f77b4e5148f233fab7694a968c84bf1f
SHA512: d6d7d8bec7bc64b492a917e04b131bc2b0a19a8bd5867a86534d8e35e7fc36feffa9c59bf88351ddf219e108c71c13a33090c666243e1c9874263c6c93d77c03
Homepage: https://cran.r-project.org/package=discgolf
Description: CRAN Package 'discgolf' (Discourse API Client)
 Client for the Discourse API. Discourse is a open source discussion forum
 platform (<https://www.discourse.org/>). It comes with 'RESTful' API access
 to an installation. This client requires that you are authorized to access a
 Discourse installation, either yours or another.

Package: r-cran-discharge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmom, r-cran-ggplot2, r-cran-circstats, r-cran-checkmate, r-cran-boot
Filename: pool/dists/focal/main/r-cran-discharge_1.0.0-1.ca2004.1_all.deb
Size: 276308
MD5sum: d14640e39aadf3c973f6e3adfdedea0c
SHA1: 21c784af85d64d848a0be223eb1a7c8cd148a538
SHA256: 8f044997980a1708446ae2149f685ca839128fb310b67aff51d893603e508d4e
SHA512: 9320a895cf586a73382865d2684cb6951c0ccec44c589fbb5654e3a6c086c6b9302f533f75de3d81efd8b91282d5da7a8d426a8e7f5221ea78b1b0441a8973bf
Homepage: https://cran.r-project.org/package=discharge
Description: CRAN Package 'discharge' (Fourier Analysis of Discharge Data)
 Computes discrete fast Fourier transform of river discharge data and the
 derived metrics.  The methods are described in J. L. Sabo, D. M. Post (2008)
 <doi:10.1890/06-1340.1> and J. L. Sabo, A. Ruhi, G. W. Holtgrieve, V.
 Elliott, M. E. Arias, P. B. Ngor, T. A. Räsänsen, S. Nam (2017)
 <doi:10.1126/science.aao1053>.

Package: r-cran-disclap
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-disclap_1.5.1-1.ca2004.1_all.deb
Size: 23064
MD5sum: 8bef61fc8e52e57aa51124b2719eaa22
SHA1: e8fb9b185cf73293ab21366e97f11b0b4a88955a
SHA256: 6dedae6b11f81e6be2871ecef670d24f2cdc5f3e581a86f94f7a3710e7d9be88
SHA512: ada2d88e4e35d57b502b121c91d1ea9664029908cd4dd3ed5208800a49afde6079afb086164fd4c07d839d78a1c47fed00f09b9c07489d2a70d6c5b844faa2e7
Homepage: https://cran.r-project.org/package=disclap
Description: CRAN Package 'disclap' (Discrete Laplace Exponential Family)
 The discrete Laplace exponential family for use in fitting generalized
 linear models.

Package: r-cran-disclosur
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-pdftools, r-cran-qdap, r-cran-sentimentanalysis, r-cran-stringi, r-cran-stringr, r-cran-syuzhet, r-cran-zoo, r-cran-snowballc, r-cran-tm, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-disclosur_0.6.0-1.ca2004.1_all.deb
Size: 195044
MD5sum: 2e1b9488dcfbf19418d7c06878b3fb44
SHA1: 9ace319467f09a0ecc0589cf43e49e47c21a8f9b
SHA256: b45a4d9c6139f9897395a19d83c7ccc3a55f24573a77a50a31a879e5e060a5fb
SHA512: bac4c72a098b6e9f74b685a47183bc0fc6e50fe5b85000fa77fb0d01dbfca972c9d6d652acee7e2d7265b0c94f5a6aae79bfedf76c0efb3336f4c5af88d80193
Homepage: https://cran.r-project.org/package=disclosuR
Description: CRAN Package 'disclosuR' (Text Conversion from Nexis Uni PDFs to R Data Frames)
 Transform 'newswire' and earnings call transcripts as PDF obtained from
 'Nexis Uni' to R data frames. Various 'newswires' and 'FairDisclosure'
 earnings call formats are supported. Further, users can apply several
 pre-defined dictionaries on the data based on Graffin et al.
 (2016)<doi:10.5465/amj.2013.0288> and Gamache et al.
 (2015)<doi:10.5465/amj.2013.0377>.

Package: r-cran-discnorm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lavaan, r-cran-arules, r-cran-sirt, r-cran-mass, r-cran-pbivnorm, r-cran-cubature, r-cran-copula, r-cran-mnormt, r-cran-gofkernel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-discnorm_0.2.1-1.ca2004.1_all.deb
Size: 49004
MD5sum: e7fba05588a396cbb0c735563959e781
SHA1: a5d4660d56391c6ef76dff3a5452042b9c34aed2
SHA256: d72672d6e3a8e878e6e3a0c8573a53f8ce2918f9e10c9074b1914827bab807aa
SHA512: 23a36fea62c15afff60d15cdd6d7f3c0f76d142a56eed1d491fc7d29f054251bc37d8b0f0d86b60cacb0fca4fc3bf18118dc08c6d02399478d8c82853ceeefc2
Homepage: https://cran.r-project.org/package=discnorm
Description: CRAN Package 'discnorm' (Test for Discretized Normality in Ordinal Data)
 Tests whether multivariate ordinal data may stem from discretizing a
 multivariate normal distribution.  The test is described by Foldnes and
 Grønneberg (2019) <doi:10.1080/10705511.2019.1673168>.  In addition, an
 adjusted polychoric correlation estimator is provided that takes marginal
 knowledge into account, as described by Grønneberg and Foldnes (2022)
 <doi:10.1037/met0000495>.

Package: r-cran-disco
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1560
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tmod, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-disco_0.6-1.ca2004.1_all.deb
Size: 1523744
MD5sum: 27d8e54b298d7b33133cd71f0ac80757
SHA1: 248fbdd884c4a01570d2591b719d48d2c0c570f2
SHA256: 20991b639687d3e5e2effd76f930411f34a47f36feb24d16fd07268b2c226c45
SHA512: 5f5547cd6f19353fd41af9a393512506143097bfdd329b76f8f1bfc0ecc9fe6a8a1dba5bdb857910e2903fec66306cfed9ee4ae13c61efa11bb5f43b6921a40e
Homepage: https://cran.r-project.org/package=disco
Description: CRAN Package 'disco' (Discordance and Concordance of Transcriptomic Responses)
 Concordance and discordance of homologous gene regulation allows comparing
 reaction to stimuli in different organisms, for example human patients and
 animal models of a disease. The package contains functions to calculate
 discordance and concordance score for homologous gene pairs, identify
 concordantly or discordantly regulated transcriptional modules and visualize
 the results.  It is intended for analysis of transcriptional data.

Package: r-cran-discord
Architecture: all
Version: 1.2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1479
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-nlsylinks, r-cran-ggpedigree, r-cran-bgmisc, r-cran-broom, r-cran-dplyr, r-cran-gridextra, r-cran-ggplot2, r-cran-janitor, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-scales, r-cran-stargazer, r-cran-snakecase, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-discord_1.2.4.1-1.ca2004.1_all.deb
Size: 986964
MD5sum: a753bc337b1022c13d15418a19183f3a
SHA1: 06ee2645568340ffe2d2b0c3c84cb7bd72dcaba3
SHA256: e7279e45ad8162a3db760d6d43dd110d640177696db4c78f669c91092e4ccbdc
SHA512: 5207659d566c2d87d9d265a487f88c6fb42f81ea797c2d1e448d7a1b48db617c0e86665192d6603ff3a0bbdf71d027c7f3a6159f3c419c7444991071f39d9018
Homepage: https://cran.r-project.org/package=discord
Description: CRAN Package 'discord' (Functions for Discordant Kinship Modeling)
 Functions for discordant kinship modeling (and other sibling-based
 quasi-experimental designs). Contains data restructuring functions and
 functions for generating biometrically informed data for kin pairs. See
 [Garrison and Rodgers, 2016 <doi:10.1016/j.intell.2016.08.008>], [Sims,
 Trattner, and Garrison, 2024 <doi:10.3389/fpsyg.2024.1430978>] for empirical
 examples, and Garrison and colleagues for theoretical work
 <https://osf.io/zpdwt/>.

Package: r-cran-discos
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2068
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-cvxr, r-cran-pracma, r-cran-rdpack, r-cran-evmix, r-cran-extremestat, r-cran-mass
Suggests: r-cran-haven, r-cran-latex2exp, r-cran-knitr, r-cran-rmarkdown, r-cran-maps, r-cran-testthat, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-discos_0.1.1-1.ca2004.1_all.deb
Size: 2015008
MD5sum: 3d9f6884bba820eb1deedf21cf1ecccb
SHA1: 08c4ab4bc190d5530fbe95ddb9e5b0de15277e76
SHA256: e6a60ccf8e0894b4a7111c7fce9ca28e2e29c84b551fc5d23b99d5a6e6f6761f
SHA512: 0eef8f5cd15f42e3c726da9a0d6e08dd0d9b557a0d8d0e1b0bfe4b400dfb8f9513396c9175d7d9b81da52a1d5cfae85321d67f54dd50e6f0a59af08bb2f39c6c
Homepage: https://cran.r-project.org/package=DiSCos
Description: CRAN Package 'DiSCos' (Distributional Synthetic Controls Estimation)
 The method of synthetic controls is a widely-adopted tool for evaluating
 causal effects of policy changes in settings with observational data. In
 many settings where it is applicable, researchers want to identify causal
 effects of policy changes on a treated unit at an aggregate level while
 having access to data at a finer granularity. This package implements a
 simple extension of the synthetic controls estimator, developed in Gunsilius
 (2023) <doi:10.3982/ECTA18260>, that takes advantage of this additional
 structure and provides nonparametric estimates of the heterogeneity within
 the aggregate unit. The idea is to replicate the quantile function
 associated with the treated unit by a weighted average of quantile functions
 of the control units. The package contains tools for aggregating and
 plotting the resulting distributional estimates, as well as for carrying out
 inference on them.

Package: r-cran-discoursegt
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggally, r-cran-ggplot2, r-cran-ggrepel, r-cran-igraph, r-cran-network
Suggests: r-cran-biocmanager, r-cran-formatr, r-cran-ggpubr, r-cran-knitr, r-cran-markdown, r-cran-r.rsp, r-cran-rmarkdown, r-cran-rticles, r-cran-sna, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discoursegt_1.2.0-1.ca2004.1_all.deb
Size: 433232
MD5sum: 7c6de7e149cf9ad3b7080a4873df73f2
SHA1: e776f2bd3433f1dbee985fc5188874167ff8b24c
SHA256: d5d8e5d4e49ad8412e81799c61779a511d090272cb3153ecf0a4c1bc744820fc
SHA512: 982538f348dbe45892f566c391b382f84b0efff23aba23ac8d9dd619639cce1a4039b1e0a7fe2f9ff2d416ed9544ecf9ff17ad58ae0ca313f47092cc0f6c4c96
Homepage: https://cran.r-project.org/package=discourseGT
Description: CRAN Package 'discourseGT' (Analyze Group Patterns using Graph Theory in EducationalSettings)
 Analyzes group patterns using discourse analysis data with graph theory
 mathematics. Takes the order of which individuals talk and converts it to a
 network edge and weight list. Returns the density, centrality,
 centralization, and subgroup information for each group. Based on the
 analytical framework laid out in Chai et al.  (2019)
 <doi:10.1187/cbe.18-11-0222>.

Package: r-cran-discover
Architecture: all
Version: 3.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-rlang, r-cran-golem, r-cran-shiny, r-cran-config, r-cran-plotly, r-cran-loader, r-cran-cluster, r-cran-ggplot2, r-cran-shinyjs, r-cran-shinyace, r-cran-ggdendro, r-cran-echarts4r, r-cran-htmltools, r-cran-factominer, r-cran-htmlwidgets, r-cran-colourpicker, r-cran-shinydashboard, r-cran-shinycustomloader, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-discover_3.1.7-1.ca2004.1_all.deb
Size: 443212
MD5sum: af788255f1f81e81fc7c929b663d4c53
SHA1: 4c2e4b30bb1fd5ad1e037f51c836cc5393fc9699
SHA256: 91c636224f02117e338bf8a60646d98b38a4ee7aa82caf55e8911a5c52822bf0
SHA512: 6119f507ccabe6b53c3261b10d3864f4ccb01be1bc774b644bf106774b8b8784a1878909ccdde0809d235bbfc7f2368d4f899f81b8b999206317cad1540eabbf
Homepage: https://cran.r-project.org/package=discoveR
Description: CRAN Package 'discoveR' (Exploratory Data Analysis System)
 Performs an exploratory data analysis through a 'shiny' interface. It
 includes basic methods such as the mean, median, mode, normality test, among
 others. It also includes clustering techniques such as Principal Components
 Analysis, Hierarchical Clustering and the K-Means Method.

Package: r-cran-discoverableresearch
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1317
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-ngram, r-cran-readr, r-cran-stringdist, r-cran-stringi, r-cran-stopwords, r-cran-synthesisr, r-cran-tm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-discoverableresearch_0.0.1-1.ca2004.1_all.deb
Size: 349092
MD5sum: 132a73c6a9791843c375fc0e49d005d2
SHA1: e4e6222ce2aa83199da2853c8e0fc8d4774f8f3c
SHA256: 721e3c6b1cd680eb5540cb29561f0f6a9959e80491816f84709d6e98e71ef187
SHA512: c25253847e626c34e8848aedc7abff47672ce40228c9304cccb9ddaf81458e96561f3bb6b9d10ed13e1364c9b1e695e3b50fe1dd9875bc960e9f45a7da548bf0
Homepage: https://cran.r-project.org/package=discoverableresearch
Description: CRAN Package 'discoverableresearch' (Checks Title, Abstract and Keywords to Optimise Discoverability)
 A suite of tools are provided here to support authors in making their
 research more discoverable.  check_keywords() - this function checks the
 keywords to assess whether they are already represented in the title and
 abstract. check_fields() - this function compares terminology used across
 the title, abstract and keywords to assess where terminological diversity
 (i.e. the use of synonyms) could increase the likelihood of the record being
 identified in a search. The function looks for terms in the title and
 abstract that also exist in other fields and highlights these as needing
 attention. suggest_keywords() - this function takes a full text document and
 produces a list of unigrams, bigrams and trigrams (1-, 2- or 2-word phrases)
 present in the full text after removing stop words (words with a low utility
 in natural language processing) that do not occur in the title or abstract
 that may be suitable candidates for keywords. suggest_title() - this
 function takes a full text document and produces a list of the most
 frequently used unigrams, bigrams and trigrams after removing stop words
 that do not occur in the abstract or keywords that may be suitable
 candidates for title words. check_title() - this function carries out a
 number of sub tasks: 1) it compares the length (number of words) of the
 title with the mean length of titles in major bibliographic databases to
 assess whether the title is likely to be too short; 2) it assesses the
 proportion of stop words in the title to highlight titles with low utility
 in search engines that strip out stop words; 3) it compares the title with a
 given sample of record titles from an .ris import and calculates a
 similarity score based on phrase overlap. This highlights the level of
 uniqueness of the title. This version of the package also contains functions
 currently in a non-CRAN package called 'litsearchr'
 <https://github.com/elizagrames/litsearchr>.

Package: r-cran-discovr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5096
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-learnr, r-cran-ggplot2, r-cran-glue, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discovr_0.2.2-1.ca2004.1_all.deb
Size: 2074292
MD5sum: 399ae130fe98ece1357faa449b2df956
SHA1: 8ec0b86d43c600d9a915cdf42c3d0f945fdb173b
SHA256: c5851463a169d1806adb15f1f7384b7449ca9e8e9ca5d4edabc6ce91f1846b48
SHA512: 217dc21ee8df9a532c20ddcbc3af75c889acf12ae39055e6383a94837ac1a1a83db84b8ef9f08cfe628b29bd0820122c8db61b8860474d6d3969365c6bf902a6
Homepage: https://cran.r-project.org/package=discovr
Description: CRAN Package 'discovr' (Interactive Tutorials and Data for "Discovering Statistics UsingR and RStudio")
 Interactive 'R' tutorials and datasets for the textbook Field (2026),
 "Discovering Statistics Using R and RStudio", <https://www.discovr.rocks/>.
 Interactive tutorials cover general workflow in 'R' and 'RStudio',
 summarizing data, visualizing data, fitting models and bias, correlation,
 the general linear model (GLM), moderation, mediation, missing values,
 comparing means using the GLM (analysis of variance), comparing adjusted
 means (analysis of covariance), factorial designs, repeated measures
 designs, exploratory factor analysis (EFA).  There are no functions, only
 datasets and interactive tutorials.

Package: r-cran-discretedatasets
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Filename: pool/dists/focal/main/r-cran-discretedatasets_0.1.2-1.ca2004.1_all.deb
Size: 1464168
MD5sum: a8bc225271a15390f8fd9dfc37fb1c38
SHA1: 10d0c9947e7ff0fb13f4b31a856cc57540db7d21
SHA256: 6c474a00ee7aeed0321dbf0fe00e2f8e294470acb772aee73b082eb0da5b4573
SHA512: cf1ac71e10188acae784e69c86822dd0190134077288a1a7d8356787c023c29da99eb6d003b9c8aa607fe46651c788abd457f808ae3520ae3375a172f1929951
Homepage: https://cran.r-project.org/package=DiscreteDatasets
Description: CRAN Package 'DiscreteDatasets' (Example Data Sets for Use with Discrete Statistical Tests)
 Provides several data sets for use with discrete statistical tests and
 discrete multiple testing procedures. Some of them are also available as a
 four-column version, so that each row represents a 2x2 table.

Package: r-cran-discretegapstatistic
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3876
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cultevo, r-cran-magrittr, r-cran-ggplot2, r-cran-pheatmap, r-cran-dplyr, r-cran-polychrome, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-tidyr, r-bioc-complexheatmap, r-cran-cluster
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discretegapstatistic_1.1.2-1.ca2004.1_all.deb
Size: 1798076
MD5sum: b916d6253e31446c43b16cb810165b51
SHA1: bd67b829843e4c9343f3866bcc128939429cfe0f
SHA256: 3a61b15032c2d7bb535a66860a588d1b94e37e58ae31c7d6aaa6935a974f9c38
SHA512: 9588625903bcb784a8c60880fe8632114fef09a95a0241afdba77b9a7f37dca3efe7ccf1f51260a74710260050529b494340a927fc4456a2de60ee83aaec59b5
Homepage: https://cran.r-project.org/package=DiscreteGapStatistic
Description: CRAN Package 'DiscreteGapStatistic' (An Extension of the Gap Statistic for Ordinal/Categorical Data)
 The gap statistic approach is extended to estimate the number of clusters
 for categorical response format data. This approach and accompanying
 software is designed to be used with the output of any clustering algorithm
 and with distances specifically designed for categorical (i.e. multiple
 choice) or ordinal survey response data.

Package: r-cran-discreteinverseweibull
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-discreteinverseweibull_1.0.2-1.ca2004.1_all.deb
Size: 43580
MD5sum: 10675b215c9966ea7cfca05e6096686f
SHA1: c57b84959a55f72cfe631bdd36cb7a59eab7d4a2
SHA256: da9d4783d58ff7addb933e015498e1a6c1d0111ad0482202a29b8082a35200f5
SHA512: d0d39b91e14893f3e870a8a50d47ff5295fc520326f7f7b8b699751bbd69ecc5182a0e5b726e9c2affce255e91921c79467c02735fcc9a02b0186e00348e623d
Homepage: https://cran.r-project.org/package=DiscreteInverseWeibull
Description: CRAN Package 'DiscreteInverseWeibull' (Discrete Inverse Weibull Distribution)
 Probability mass function, distribution function, quantile function, random
 generation and parameter estimation for the discrete inverse Weibull
 distribution.

Package: r-cran-discretelaplace
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-discretelaplace_1.1.1-1.ca2004.1_all.deb
Size: 57352
MD5sum: 26059a896165976ef0ff110eafd66e6e
SHA1: 879505211ead849019cb6d1715f1e50c30842af6
SHA256: d9482d5e82c00a513684a4aa1763f381dd7ed1ee67f96b44ab0640260321cace
SHA512: 42e8260a707519b02698976d99f6a1ea872f1d47499f3f90900b7cf6f9c40a9d698669c12dca0471107b75bb60ca0726fae2ea50b63b4403b25a0bba4d2af78f
Homepage: https://cran.r-project.org/package=DiscreteLaplace
Description: CRAN Package 'DiscreteLaplace' (Discrete Laplace Distributions)
 Probability mass function, distribution function, quantile function, random
 generation and estimation for the skew discrete Laplace distributions.

Package: r-cran-discretemtp
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-discretemtp_0.1-2-1.ca2004.1_all.deb
Size: 41960
MD5sum: dc76c437e64ade927998a27519b7a7cd
SHA1: dc5ea85e8069f11f959559215a37cf1b339b78db
SHA256: 5d44bda74ce1a6e9d5857b7f573e4928e44fe9d7fe7f0867aad953209a001f95
SHA512: b8998f0d24b031f2b1e0bb3ed4f3dd4fce0a0465b8703038326a00e5289dae02538fb7b844c73d9ea3e686a1ed2bd925790b75f5b5d3a0be60cd1cd9b6d5e8b3
Homepage: https://cran.r-project.org/package=discreteMTP
Description: CRAN Package 'discreteMTP' (Multiple testing procedures for discrete test statistics)
 Multiple testing procedures for discrete test statistics, that use the known
 discrete null distribution of the p-values for simultaneous inference.

Package: r-cran-discreteqvalue
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-coin, r-cran-exactranktests
Filename: pool/dists/focal/main/r-cran-discreteqvalue_1.1-1.ca2004.1_all.deb
Size: 35684
MD5sum: d4a8b80f04cfb2ea169ec4f7f55d8535
SHA1: 1846cde581bb3ed34f61fb22a8b6beff141b010e
SHA256: 49d909f24afce604021c194e48d88ab4ddb1d4eb8336f68a03ef5f826265aca1
SHA512: 3637d48e96b72be33344ba0fd6aaacaea91a93973c0482ca07a54f101b9976a29bc34cd7fc76c1e4d4c7d4b0623d5b35ad5e9487701cbd52e7770945132f59bf
Homepage: https://cran.r-project.org/package=DiscreteQvalue
Description: CRAN Package 'DiscreteQvalue' (Improved q-Values for Discrete Uniform and Homogeneous Tests)
 We consider a multiple testing procedure used in many modern applications
 which is the q-value method proposed by Storey and Tibshirani (2003),
 <doi:10.1073/pnas.1530509100>. The q-value method is based on the false
 discovery rate (FDR), hence versions of the q-value method can be defined
 depending on which estimator of the proportion of true null hypotheses, p0,
 is plugged in the FDR estimator. We implement the q-value method based on
 two classical pi0 estimators, and furthermore, we propose and implement
 three versions of the q-value method for homogeneous discrete uniform
 P-values based on pi0 estimators which take into account the discrete
 distribution of the P-values.

Package: r-cran-discreterv
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-mass
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-discreterv_1.2.2-1.ca2004.1_all.deb
Size: 145460
MD5sum: e6f00fdc46cbc7243628c9107d543c97
SHA1: b89f5db3a2da5f9f2c67f35f1f1a20563e782d86
SHA256: fb8fed4dc764fd8cb8636f9bc62062dae0d15c8f5457428488e7d9276fceb096
SHA512: 44b100f21d611f84dc85dd20875f05cc27f02f30d50a9bb01e9bf70d4b366a8cdec55481b67e138eb565c950ae608f0716a9fb0f814d88076dd19c25f1a157b9
Homepage: https://cran.r-project.org/package=discreteRV
Description: CRAN Package 'discreteRV' (Create and Manipulate Discrete Random Variables)
 Create, manipulate, transform, and simulate from discrete random variables.
 The syntax is modeled after that which is used in mathematical statistics
 and probability courses, but with powerful support for more advanced
 probability calculations. This includes the creation of joint random
 variables, and the derivation and manipulation of their conditional and
 marginal distributions.

Package: r-cran-discretetests
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-checkmate, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-discretetests_0.2.1-1.ca2004.1_all.deb
Size: 169964
MD5sum: 493caad9054512266b482c6d8764699e
SHA1: 29afe1beb98fead16e3dce717cf59e4639641d8c
SHA256: 060a47d595878d22181b4de35ee5d0912645f7795ae7c4f2b543c324c4fb3169
SHA512: f857f4fceeca6508df716a710a1a66bc5e2a387177fbcf6340ce1773ba349b22184143e1b02d7011685712954c718538dd8a0078d99bdb0bcd40bdd15d778be0
Homepage: https://cran.r-project.org/package=DiscreteTests
Description: CRAN Package 'DiscreteTests' (Vectorised Computation of P-Values and Their Supports forSeveral Discrete Statistical Tests)
 Provides vectorised functions for computing p-values of various common
 discrete statistical tests, as described e.g. in Agresti (2002)
 <doi:10.1002/0471249688>, including their distributions. Exact and
 approximate computation methods are provided. For exact p-values, several
 procedures of determining two-sided p-values are included, which are
 outlined in more detail in Hirji (2006) <doi:10.1201/9781420036190>.

Package: r-cran-discreteweibull
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-discreteweibull_1.1-1.ca2004.1_all.deb
Size: 66332
MD5sum: d9af079cb962d83ff44adcc664893a23
SHA1: 3e0ee297d53867deaae47855f358760da79130e6
SHA256: 57be6942877c2eb10203e68516a4892aa4f34019a84b92ff5e4a492600215186
SHA512: ef607baa10effb10a5841f61ca5a5a040ea9078a92c62dbd22dd469bf1bf13421b3eb6fa262015a68bb8aef04be9dec93b9de83dcd860efcc4480482f4217b65
Homepage: https://cran.r-project.org/package=DiscreteWeibull
Description: CRAN Package 'DiscreteWeibull' (Discrete Weibull Distributions (Type 1 and 3))
 Probability mass function, distribution function, quantile function, random
 generation and parameter estimation for the type I and III discrete Weibull
 distributions.

Package: r-cran-discretization
Architecture: all
Version: 1.0-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-discretization_1.0-1.1-1.ca2004.1_all.deb
Size: 98536
MD5sum: 749185eb38a3eb1a0f3e5e94a63d78af
SHA1: 8f9d9a7dbf1e6570c40c3b409b612852e4caaf7b
SHA256: 819bc870e5066875f2a23aacc55448cc0a651a66477a1be8ab373996253d2e66
SHA512: eb0a2d0201b4a7c9d8d0282f44b2f2d951895f50c4799019a3648336317eefa4c41f15f048c4e23162bdf489c57e01d3ca1d75a2a9e74d774738afef90ba9fab
Homepage: https://cran.r-project.org/package=discretization
Description: CRAN Package 'discretization' (Data Preprocessing, Discretization for Classification)
 A collection of supervised discretization algorithms. It can also be grouped
 in terms of top-down or bottom-up, implementing the discretization
 algorithms.

Package: r-cran-discrim
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-parsnip, r-cran-dials, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-earth, r-cran-ggplot2, r-cran-klar, r-cran-knitr, r-cran-mass, r-cran-mda, r-cran-mlbench, r-cran-modeldata, r-cran-naivebayes, r-cran-rmarkdown, r-cran-sda, r-cran-sparsediscrim, r-cran-spelling, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-discrim_1.0.1-1.ca2004.1_all.deb
Size: 127080
MD5sum: 37c6609c015aaf95577e3c5cd602355b
SHA1: 9acb91f4349327ed0ac86d187b3fa02facd53ecf
SHA256: 01f5a37c14ffa5f82d3404ea66420fcb18191ba391a4a96d1ff114e61bba5431
SHA512: e12fd35757c23757b82f92ff1977b3da7d28bcfdb5b547a25ccc7958c28cdcf58977f2a2cbfb4a06c1b497947e325c60628d98a085851edcc1bad1145e496036
Homepage: https://cran.r-project.org/package=discrim
Description: CRAN Package 'discrim' (Model Wrappers for Discriminant Analysis)
 Bindings for additional classification models for use with the 'parsnip'
 package. Models include flavors of discriminant analysis, such as linear
 (Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>), regularized
 (Friedman (1989) <doi:10.1080/01621459.1989.10478752>), and flexible
 (Hastie, Tibshirani, and Buja (1994) <doi:10.1080/01621459.1994.10476866>),
 as well as naive Bayes classifiers (Hand and Yu (2007)
 <doi:10.1111/j.1751-5823.2001.tb00465.x>).

Package: r-cran-discriminer
Architecture: all
Version: 0.1-29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-factominer
Filename: pool/dists/focal/main/r-cran-discriminer_0.1-29-1.ca2004.1_all.deb
Size: 216872
MD5sum: 216bc903e73d5aacb74c3e5f17f238bb
SHA1: 063a48388cd1adef0dc40e23457a0ac1f0f3591f
SHA256: 2ec7d513e2e38161c4ae59a209ed7aea6e691e0f28343a1e037f1a89fd22fd36
SHA512: ca89a7afc56d8c0e8cee042772819225a84d1ec5d41bb68f4f2477bb6e502a0daacc8b1eb21685d0180b475c3b5641fc2e49f9d9cbf65b4623a8e70acab65d19
Homepage: https://cran.r-project.org/package=DiscriMiner
Description: CRAN Package 'DiscriMiner' (Tools of the Trade for Discriminant Analysis)
 Functions for Discriminant Analysis and Classification purposes covering
 various methods such as descriptive, geometric, linear, quadratic, PLS, as
 well as qualitative discriminant analyses

Package: r-cran-discrtr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3867
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-rmdformats
Suggests: r-cran-dfidx, r-cran-readr
Filename: pool/dists/focal/main/r-cran-discrtr_0.0.1-1.ca2004.1_all.deb
Size: 1879344
MD5sum: 6beb2d05eeba39b07bbabb1be18c0b9a
SHA1: 376a8264be1ded1b0f6221a5c8e147046ea1a6af
SHA256: 4685305a6f4596f2b35a9b683f1fe209b3d1829c6b52151e28131035e889549c
SHA512: 9fde5b82599cb5287b36c3253d9dcdf07d517aef5160c522fa324ac45b2a3a3c9d57997c5e38dc44fba0630ee0e8fc35825b958d791b7eb48306b832e06ad354
Homepage: https://cran.r-project.org/package=discrtr
Description: CRAN Package 'discrtr' (A Companion Package for the Book "Discrete Choice Analysis with'R'")
 Templates and data files to support "Discrete Choice Analysis with R", Páez,
 A. and Boisjoly, G. (2023) <doi:10.1007/978-3-031-20719-8>.

Package: r-cran-discsurv
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 554
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-treeclust, r-cran-functional, r-cran-mvtnorm, r-cran-mgcv, r-cran-data.table, r-cran-rdpack, r-cran-vgam, r-cran-geepack, r-cran-rpart, r-cran-ranger, r-cran-mvnfast
Suggests: r-cran-matrix, r-cran-matrixcalc, r-cran-numderiv, r-cran-caret, r-cran-ecdat, r-cran-pec, r-cran-survival, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-discsurv_2.0.0-1.ca2004.1_all.deb
Size: 519848
MD5sum: d6fb5b933199d4cf4bedc1427428743b
SHA1: afe2c8e1285b866fc4e0b3200f13245d4a4c06e6
SHA256: 65399378e4b385f701081df79c613b6541210aed31adf1bfaba0d6d4f7cd35ee
SHA512: 167e2390d787b8ef4311d0d758cf5329c51ffc9a58b5ea6dbba11c087d2e6c23feeb9eb5e55d1dc9d86bb7fc99c50d56a7371cfe8aa0fe1990e3864729588479
Homepage: https://cran.r-project.org/package=discSurv
Description: CRAN Package 'discSurv' (Discrete Time Survival Analysis)
 Provides data transformations, estimation utilities, predictive evaluation
 measures and simulation functions for discrete time survival analysis.

Package: r-cran-discursive
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-snowballc, r-cran-stm, r-cran-stringr, r-cran-tm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-discursive_0.1.1-1.ca2004.1_all.deb
Size: 246880
MD5sum: 19634b92b6cd3e39ef34dae0e5fb08c0
SHA1: 333d70e7ba77963a14e9b503b0d185f37e212930
SHA256: a1fb423c401f4d020ecc848c81e971696248de2ed66fff85789083f75f908f5b
SHA512: 7d01908bbaa33e805ae2a21bc3a6fc9fc2abaf3a3719755213980ce38c94436634f64457af6bd4656c0a6ac47866473cea4ea6e10f24b64063890397cae3e43c
Homepage: https://cran.r-project.org/package=discursive
Description: CRAN Package 'discursive' (Measuring Discursive Sophistication in Open-Ended SurveyResponses)
 A simple approach to measure political sophistication based on open-ended
 survey responses. Discursive sophistication captures the complexity of
 individual attitude expression by quantifying its relative size, range, and
 constraint. For more information on the measurement approach see: Kraft,
 Patrick W. 2023. "Women Also Know Stuff: Challenging the Gender Gap in
 Political Sophistication." American Political Science Review (forthcoming).

Package: r-cran-disdat
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6192
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-sf, r-cran-tmap, r-cran-mapview
Filename: pool/dists/focal/main/r-cran-disdat_1.0-1-1.ca2004.1_all.deb
Size: 3924524
MD5sum: d79543da6b23e9648c4be699f4b3bc64
SHA1: 919feb7c6fcaf4de69a8a3230707644640f2c04c
SHA256: 98f8b698d27b48dc9f2eca1c2d0433d796d7f84736bd2a430834f3858b5177eb
SHA512: 511b90d4bf8f59a40fd1c8c8f2d669b80ad94934d30ceb8808a07397965221e266b679809a9139155e51a32b678a12f0e2cefd0e9a7330a5dcefbc7946f0a13c
Homepage: https://cran.r-project.org/package=disdat
Description: CRAN Package 'disdat' (Data for Comparing Species Distribution Modeling Methods)
 Easy access to species distribution data for 6 regions in the world, for a
 total of 226 anonymised species. These data are described and made available
 by Elith et al (2020) <doi:10.17161/bi.v15i2.13384> to compare species
 distribution modelling methods.

Package: r-cran-diseasemapping
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1491
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-diseasemapping_2.0.6-1.ca2004.1_all.deb
Size: 1380812
MD5sum: 89163332bfd8b19b3826e14ca858df23
SHA1: 51f6817435812784d9494443a321f87db4a59d53
SHA256: 1ce11a714693782c40ab274f4f7c2b9a6b37ba4b0ac7b7453788668f98962b60
SHA512: ef6b4687ec3231b620285554b3a6e87d099be4960b0161e9da11a39454fe7f9c71ba2598956d7fa004c579fb4229f304f541b99c692279390ae8e5dd993b3047
Homepage: https://cran.r-project.org/package=diseasemapping
Description: CRAN Package 'diseasemapping' (Modelling Spatial Variation in Disease Risk for Areal Data)
 Formatting of population and case data, calculation of Standardized
 Incidence Ratios, and fitting the BYM model using 'INLA'. For details see
 Brown (2015) <doi:10.18637/jss.v063.i12>.

Package: r-cran-diseasystore
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-curl, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-glue, r-cran-isoweek, r-cran-jsonlite, r-cran-lubridate, r-cran-pkgcond, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-r6, r-cran-scdb, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-devtools, r-cran-duckdb, r-cran-ggplot2, r-cran-here, r-cran-knitr, r-cran-lintr, r-cran-microbenchmark, r-cran-odbc, r-cran-pkgdown, r-cran-rmarkdown, r-cran-rsqlite, r-cran-rpostgres, r-cran-testthat, r-cran-tibble, r-cran-spelling, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-diseasystore_0.3.1-1.ca2004.1_all.deb
Size: 750492
MD5sum: 4b713b473d61bf3a901e08beb0fee6f2
SHA1: df963b02facc33fecae4dec67fdb6e8a64ef5826
SHA256: 666e5d58b109826014d9540aa22e89b6cf702d041f304a80ccc892b12bba56ac
SHA512: ca56f1634b1f22cd617683e9980232c56484ece938c8fe7cdd52790e587b986f5a6b23a8ba5009020448fa968123df2131a8d358c6a32cde0bd2cee30e2afba4
Homepage: https://cran.r-project.org/package=diseasystore
Description: CRAN Package 'diseasystore' (Feature Stores for the 'diseasy' Framework)
 Simple feature stores and tools for creating personalised feature stores.
 'diseasystore' powers feature stores which can automatically link and
 aggregate features to a given stratification level. These feature stores are
 automatically time-versioned (powered by the 'SCDB' package) and allows you
 to easily and dynamically compute features as part of your continuous
 integration.

Package: r-cran-disequilibrium
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimr, r-cran-formula, r-cran-numderiv
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-disequilibrium_1.1-1.ca2004.1_all.deb
Size: 117260
MD5sum: 3b5b4b9a5b9d1264c20e2cf302f00713
SHA1: 27b7bbe2e948dec99d6db97e64a6e767bdef36c8
SHA256: f4411a4c6856142e3898b0b73979198bf789433f15eff7e16a2012814654308a
SHA512: 0d1b0047abcb027d9066dca090a51b8a829ab3307caef1cd2ae9f0cee4e075cbd07b624378f60c2b9cad64ebc29cb268df88da3cdd4c583b58bd3631e4e0284e
Homepage: https://cran.r-project.org/package=Disequilibrium
Description: CRAN Package 'Disequilibrium' (Disequilibrium Models)
 Estimate, summarize, and perform predictions with the market in
 disequilibrium model, as found in Gourieroux, C. (2000)
 <doi:10.1017/CBO9780511805608> and Maddala, G. (1983)
 <doi:10.1017/CBO9780511810176>. The parameters are estimated with maximum
 likelihood.

Package: r-cran-dishet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2898
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-dishet_1.0.0-1.ca2004.1_all.deb
Size: 2929428
MD5sum: e7b89eb49db81b0daee60f2059e9b886
SHA1: d734b303689d93c6ce90a14e512b0d460ceb40a6
SHA256: 0bdabe38f52395741c98c8101833cd97bec5072811cbf3524786d07931295d1b
SHA512: 03ca91c2cfe45a67e1fb3e1d863198bbcf2b4144671c25f651fd99cba26372dfc5ca7c7726f54479976a92f564fcb94a37693d9d0d612202103da2b1bf4a6555
Homepage: https://cran.r-project.org/package=DisHet
Description: CRAN Package 'DisHet' (Estimate the Gene Expression Levels and Component Proportions ofthe Normal, Stroma (Immune) and Tumor Components of Bulk TumorSamples)
 Model cell type heterogeneity of bulk renal cell carcinoma. The observed
 gene expression in bulk tumor sample is modeled by a log-normal distribution
 with the location parameter structured as a linear combination of the
 component-specific gene expressions.

Package: r-cran-disimformixed
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-disimformixed_0.2-1.ca2004.1_all.deb
Size: 35000
MD5sum: ae85f31b35c1c9483b5b243ed1fcea85
SHA1: 37061b2c7de4177020e351c68bc168c5c09d8d8e
SHA256: f89392fb6b291ec78e0f7d78644418276dd6ef018ff51171e7ccfc8907b9a30c
SHA512: a780f84858784893c33a571b48e8c5299f1311e022e21c42e0a6f74b87380b9b46a35a084f52dc6373f3b84826011bfc377de43c8723b48c16d130c0b7a09db1
Homepage: https://cran.r-project.org/package=DisimForMixed
Description: CRAN Package 'DisimForMixed' (Calculate Dissimilarity Matrix for Dataset with Mixed Attributes)
 Implement the methods proposed by Ahmad & Dey (2007)
 <doi:10.1016/j.datak.2007.03.016> in calculating the dissimilarity matrix at
 the presence of mixed attributes. This Package includes functions to
 discretize quantitative variables, calculate conditional probability for
 each pair of attribute values, distance between every pair of attribute
 values, significance of attributes, calculate dissimilarity between each
 pair of objects.

Package: r-cran-disimpact
Architecture: all
Version: 0.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1827
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyselect, r-cran-purrr, r-cran-tidyr, r-cran-fst, r-cran-dbi, r-cran-duckdb, r-cran-glue, r-cran-stringr, r-cran-data.table, r-cran-collapse, r-cran-sets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-prettydoc, r-cran-ggplot2, r-cran-forcats, r-cran-scales, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-disimpact_0.0.21-1.ca2004.1_all.deb
Size: 498448
MD5sum: f1a1864ef3f9bbb645a52b946755ea99
SHA1: 6be6a03f490e01d62c409f5f7e44c6b1a6a183cf
SHA256: cce3f21e1f337a260b4717c9688118184aa797d4433a77ca6f4ad5f3945ea1cf
SHA512: 606b5d1d7fe08efafc98949df6a8420ec2085cbfec6cd3efb62386ca8a0f9ff35e73b978b4e5b69d3b16c83b670dc3dd0fb3e7daaccace0f1688324726de37da
Homepage: https://cran.r-project.org/package=DisImpact
Description: CRAN Package 'DisImpact' (Calculates Disproportionate Impact When Binary Success Data areDisaggregated by Subgroups)
 Implements methods for calculating disproportionate impact: the percentage
 point gap, proportionality index, and the 80% index.  California Community
 Colleges Chancellor's Office (2017).  Percentage Point Gap Method.
 <https://www.cccco.edu/-/media/CCCCO-Website/About-Us/Divisions/Digital-Innovation-and-Infrastructure/Research/Files/PercentagePointGapMethod2017.ashx>.
 California Community Colleges Chancellor's Office (2014).  Guidelines for
 Measuring Disproportionate Impact in Equity Plans.
 <https://www.cccco.edu/-/media/CCCCO-Website/Files/DII/guidelines-for-measuring-disproportionate-impact-in-equity-plans-tfa-ada.pdf>.

Package: r-cran-diskimager
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1741
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-subplex
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-diskimager_1.0.0-1.ca2004.1_all.deb
Size: 1330984
MD5sum: b013d8bcaf0d31ebacc66aac2a93ad10
SHA1: 0a754f506a40233470404167d4d38b4b26beec81
SHA256: 1f2a49699977a5bcb6b9d21f58f24d517c49d2b1b04d3f94d20191edae8637cf
SHA512: ac438e5a26d7621411a8ed363c060b81313795613c37a0cacbea4c306ac54066f7d68d48826000d5e7c31a900ea3327871a0748718de44cbfb819bd2291c14b4
Homepage: https://cran.r-project.org/package=diskImageR
Description: CRAN Package 'diskImageR' (A Pipeline to Analyze Resistance and Tolerance from Drug DiskDiffusion Assays)
 A pipeline to analyze photographs of disk diffusion plates. This removes the
 need to analyze the plates themselves, and thus analysis can be done
 separate from the assay. Furthermore, diskImageR removes potential
 researcher bias, by quantitative assessment of drug resistance as the zone
 diameter at multiple cutoff values of growth inhibition. This method also
 extends the disk diffusion assay by measuring drug tolerance (in addition to
 drug resistance) as the fraction of the subpopulation that is able to grow
 above the resistance point ("FoG"), and drug sensitivity as the rate of
 change from no growth to full growth ("slope").

Package: r-cran-disordr
Architecture: all
Version: 0.9-8-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2475
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-digest
Suggests: r-cran-mvp, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-disordr_0.9-8-4-1.ca2004.1_all.deb
Size: 871008
MD5sum: d66fbb57ab373322f2884d101264febc
SHA1: 2b12885f544e0190afe45a66030a236da7a038e9
SHA256: 0846035c3c8d2ade23237eeba9403341f6d6ead45afc6440315603a8ead8c63c
SHA512: 9571dc270aebb685f60918de9fd18ed956998ffac8e4f88d1e9b49039f286a2be82b65f7b8cd1d6d05b0b52a16481d7a42ff284239ec5d9b777fb6467612bfbe
Homepage: https://cran.r-project.org/package=disordR
Description: CRAN Package 'disordR' (Non-Ordered Vectors)
 Functionality for manipulating values of associative maps.  The package is a
 dependency for mvp-type packages that use the STL map class: it traps
 plausible idiom that is ill-defined (implementation-specific) and returns an
 informative error, rather than returning a possibly incorrect result.  To
 cite the package in publications please use Hankin (2022)
 <doi:10.48550/ARXIV.2210.03856>.

Package: r-cran-disparityfilter
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-disparityfilter_2.2.3-1.ca2004.1_all.deb
Size: 14504
MD5sum: acc8abba4efe2ff95169d78362870a30
SHA1: 5d6c1c4825ed1090c9c3e42b339382db55c7d348
SHA256: 4b6757a5a0c56b813ff51bb84c5c250e5b9d805049679f681550381d39dd57f6
SHA512: 018714e205e5b88b5c58e69cd17221852f8425785fe290611a0a9a0906ba38162ec003c8bccb195e63ae5832746896a9e251fbaacace10cc358ab49a7752853a
Homepage: https://cran.r-project.org/package=disparityfilter
Description: CRAN Package 'disparityfilter' (Disparity Filter Algorithm for Weighted Networks)
 The disparity filter algorithm is a network reduction technique to identify
 the 'backbone' structure of a weighted network without destroying its
 multi-scale nature. The algorithm is documented in M. Angeles Serrano,
 Marian Boguna and Alessandro Vespignani in "Extracting the multiscale
 backbone of complex weighted networks", Proceedings of the National Academy
 of Sciences 106 (16), 2009. This implementation of the algorithm supports
 both directed and undirected networks.

Package: r-cran-displayhts
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-displayhts_1.0-1.ca2004.1_all.deb
Size: 247468
MD5sum: 45cf0e569d3051383401b3e405d1f211
SHA1: 9ceb80be5a9c9b514b33e06286f3919758d47672
SHA256: 7d5fa3689e2292814b257be948767762cb228103b43b3ea04e9aae7024ccaca6
SHA512: 226fbc09795693978e622c16b9c087c3089e99b0cb4a1fe89f81ec06e31155bf3d85c0b175f02bc9b496424e69cf7056e4228a15b2a49d9b9db4c3bedd6246ca
Homepage: https://cran.r-project.org/package=displayHTS
Description: CRAN Package 'displayHTS' (displayHTS)
 A package containing R functions for displaying data and results from
 high-throughput screening experiments.

Package: r-cran-displease
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-farver
Filename: pool/dists/focal/main/r-cran-displease_1.0.0-1.ca2004.1_all.deb
Size: 18784
MD5sum: af81eeb04414d8dc6e074c8621f8db59
SHA1: 60429f5a90c1987a44e427ab6e985c73a660ad0c
SHA256: 9aec3d13755cea1d508a1d92604acf699962eb7f77b3d2a1972a47b4230eeb2b
SHA512: 54a67e31eec5ac76fee501532f7f692b04d3cfc7af5218a348ecf4e496741721d234614c4a5dd7025593e4fdd2e89cf7f20aa9f7cbd505a67042a1505198b557
Homepage: https://cran.r-project.org/package=displease
Description: CRAN Package 'displease' (Numeric and Color Sequences with Non-Linear Interpolation)
 When visualising changes between two values over time, a strict linear
 interpolation can look jarring and unnatural.  By applying a non-linear
 easing to the transition, the motion between values can appear smoother and
 more natural.  This package includes functions for applying such non-linear
 easings to colors and numeric values, and is useful where smooth animated
 movement and transitions are desired.

Package: r-cran-dispmod
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-car
Filename: pool/dists/focal/main/r-cran-dispmod_1.2-1.ca2004.1_all.deb
Size: 52556
MD5sum: 4fc9188a000c6d619188138a9f48a649
SHA1: f2cff72a23486d84784cbe5b20ba440a54cb0094
SHA256: 40ac18aa002f54425d71c323e5a44e53298105de4d44a1322ebdee12a08eafb3
SHA512: 54066a997ff6cda87e92257264f1b10e7c60815cd322f10eeced2ccfe8fad90491772ec9c19fa735a895b73974d98f9ffde7d09b156b66c7da91269320169e1e
Homepage: https://cran.r-project.org/package=dispmod
Description: CRAN Package 'dispmod' (Modelling Dispersion in GLM)
 Functions for estimating Gaussian dispersion regression models (Aitkin, 1987
 <doi:10.2307/2347792>), overdispersed binomial logit models (Williams, 1987
 <doi:10.2307/2347977>), and overdispersed Poisson log-linear models
 (Breslow, 1984 <doi:10.2307/2347661>), using a quasi-likelihood approach.

Package: r-cran-disposables
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-disposables_1.0.3-1.ca2004.1_all.deb
Size: 22448
MD5sum: a76c4f25a6aa860bf4a1850e14c4b812
SHA1: a92e9cf67d4385a4e9b615b12ab8b10ca9b843c7
SHA256: ab26069365d934ddd7705f9731f6ac9ca4963da3aa7f50c99177e7407d407a7d
SHA512: 1d2ebfe7c8809096ecb72f5ee825a2753c2982d215a0256c93a99c87852ef6340c3f65c0a346306007ba6a8046b5789ad1d8643bc7709ebe0593156cd2febb41
Homepage: https://cran.r-project.org/package=disposables
Description: CRAN Package 'disposables' (Create Disposable R Packages for Testing)
 Create disposable R packages for testing.  You can create, install and load
 multiple R packages with a single function call, and then unload, uninstall
 and destroy them with another function call. This is handy when testing how
 some R code or an R package behaves with respect to other packages.

Package: r-cran-dispositioneffect
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1649
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-lubridate, r-cran-magrittr, r-cran-progress
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-covr, r-cran-tidyr, r-cran-skimr, r-cran-ggplot2, r-cran-ggridges, r-cran-furrr, r-cran-future, r-cran-foreach, r-cran-doparallel, r-cran-bench
Filename: pool/dists/focal/main/r-cran-dispositioneffect_1.0.1-1.ca2004.1_all.deb
Size: 1226232
MD5sum: 01d7a73f5357394e14c15c61fe629cfa
SHA1: 47cff650ea302d5c2c6db80b81fb25a8742c87b4
SHA256: b50d0ed6bd298d64001e956ce4714150d15fea16f0c617345cfc62dff88038ae
SHA512: 38dfb40ea91cf4515eb0dbe91fd522bd0ece1cd8d2af45f82e088fdb2c37b9155fa93fbdbf9e6e43f7ad784093e0954d3bf282f4db60257513e113353834ecb4
Homepage: https://cran.r-project.org/package=dispositionEffect
Description: CRAN Package 'dispositionEffect' (Analysis of Disposition Effect on Financial Portfolios)
 Evaluate the presence of disposition effect and others irrational investor's
 behaviors based solely on investor's transactions and financial market data.
 Experimental data can also be used to perform the analysis.  Four different
 methodologies are implemented to account for the different nature of human
 behaviors on financial markets.  Novel analyses such as portfolio driven and
 time series disposition effect are also allowed.

Package: r-cran-disprofas
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-t2eq
Filename: pool/dists/focal/main/r-cran-disprofas_0.2.1-1.ca2004.1_all.deb
Size: 349392
MD5sum: a71b67a179185abf6d1e32f321440f10
SHA1: a03b263ef13ceafa766b0d27ae7c9bf40dfb0b3b
SHA256: dfbb6236707c146d77e9832c44a61c0f668b6f0b46daf5195cee52a82986862b
SHA512: 5b6513fab2660f51d1281b31d1dde53db7fd3de94ed8695f3bcbe7905c7e58d62b44d76333d04a5594422b3a557a0268e014054b5cf4d63cceb41d5bff2a20d7
Homepage: https://cran.r-project.org/package=disprofas
Description: CRAN Package 'disprofas' (Non-Parametric Dissolution Profile Analysis)
 Similarity of dissolution profiles is assessed using the similarity factor
 f2 according to the EMA guideline (European Medicines Agency 2010) "On the
 investigation of bioequivalence".  Dissolution profiles are regarded as
 similar if the f2 value is between 50 and 100. For the applicability of the
 similarity factor f2, the variability between profiles needs to be within
 certain limits.  Often, this constraint is violated. One possibility in this
 situation is to resample the measured profiles in order to obtain a
 bootstrap estimate of f2 (Shah et al. (1998) <doi:10.1023/A:1011976615750>).
 Other alternatives are the model-independent non-parametric multivariate
 confidence region (MCR) procedure (Tsong et al. (1996)
 <doi:10.1177/009286159603000427>) or the T2-test for equivalence procedure
 (Hoffelder (2016) <https://www.ecv.de/suse_item.php?suseId=Z|pi|8430>).
 Functions for estimation of f1, f2, bootstrap f2, MCR / T2-test for
 equivalence procedure are implemented.

Package: r-cran-disprose
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bbmisc, r-cran-biomartr, r-cran-curl, r-cran-dbi, r-cran-dplyr, r-cran-rentrez, r-cran-reutils, r-cran-rsqlite, r-cran-stringr, r-cran-seqinr, r-cran-tmcalculator, r-cran-xml
Filename: pool/dists/focal/main/r-cran-disprose_0.1.6-1.ca2004.1_all.deb
Size: 378840
MD5sum: 7eff1e6b9f3a90770fb36cf974e90d88
SHA1: d95de279f9a4ace9b40fb3e80ca57ca2b04b9ecd
SHA256: 952dd6689cc441b1ae41973ab23324817e75894e95bffba548fcf7cd895cec43
SHA512: 9751594482883b8e00ad087957783559af427ee4fb7b076db6d647067715e3c0bd61e56ebb9b45423ab794bc6ee871c6dec9ab49c05dce49e7f03cc88fdad5b8
Homepage: https://cran.r-project.org/package=disprose
Description: CRAN Package 'disprose' (Discriminating Probes Selection)
 Set of tools for molecular probes selection and design of a microarray, e.g.
 the assessment of physical and chemical properties, blast performance,
 selection according to sensitivity and selectivity. Methods used in package
 are described in: Lorenz R., Stephan H.B., Höner zu Siederdissen C. et al.
 (2011) <doi:10.1186/1748-7188-6-26>; Camacho C., Coulouris G., Avagyan V. et
 al. (2009) <doi:10.1186/1471-2105-10-421>.

Package: r-cran-disscqn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-spader, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-disscqn_0.1.0-1.ca2004.1_all.deb
Size: 61976
MD5sum: 12342a6d922a03cea03da00d1f856e1c
SHA1: c8da062cbb727a19d2cef3226c2b1bc7c22c43d7
SHA256: 47a8448378fa95d90e4f084f8c527afb464beb355907058ca823f247d3c820f3
SHA512: fa701a436d0e50426712a90e69227bff37141351129833cc97d2e52b81af0911e8999afa32a572156847224df8662a025089a18e1794d9e8cb80cd341a725bf3
Homepage: https://cran.r-project.org/package=dissCqN
Description: CRAN Package 'dissCqN' (Multiple Assemblage Dissimilarity for Orders q = 0-N)
 Calculate multiple or pairwise dissimilarity for orders q = 0-N (CqN; Chao
 et al. 2008 <doi:10/fcvn63>) for a set of species assemblages or interaction
 networks.

Package: r-cran-dissever
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 765
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-sp, r-cran-raster, r-cran-plyr, r-cran-dplyr, r-cran-foreach, r-cran-boot, r-cran-magrittr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-cubist, r-cran-gam
Filename: pool/dists/focal/main/r-cran-dissever_0.2-3-1.ca2004.1_all.deb
Size: 579644
MD5sum: 79882c6f0198cfcf223a7fa04841e087
SHA1: 19193215464a2b33ec1a2cc19cb6bcc7a9dbdd08
SHA256: 29b83041023f995e696f80443c35e58260517ea89125abf5c2216fc1ea38de07
SHA512: 438d86b30485d2dfce2c40e43dec16cc75f9dbbf8a9a8999dd14cfaf56298dcb527e2f32bc43948caec937ef43c118e64a200bfe4ce5e6647ee5a756a9a51ced
Homepage: https://cran.r-project.org/package=dissever
Description: CRAN Package 'dissever' (Spatial Downscaling using the Dissever Algorithm)
 Spatial downscaling of coarse grid mapping to fine grid mapping using
 predictive covariates and a model fitted using the 'caret' package. The
 original dissever algorithm was published by Malone et al.  (2012)
 <doi:10.1016/j.cageo.2011.08.021>, and extended by Roudier et al.  (2017)
 <doi:10.1016/j.compag.2017.08.021>.

Package: r-cran-dissmod
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sfsmisc, r-cran-matrixcalc, r-cran-psych, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dissmod_1.0.0-1.ca2004.1_all.deb
Size: 410156
MD5sum: 843a0e0ba8570e8c8726e579a991f8ad
SHA1: 829374d56a086c5bf83213b5980d10a1fb68ffe3
SHA256: 105c27dd740b8a174b3cbf2421beb68c1df6be49ea75afca48c0858bc125cbda
SHA512: c981513b461c5c6fd015060e1af2db6ffb63c1b2fac99eaa23d0006639c311e92697826206f9cedbdeed3712746c53334b41c5ba76542db2fe453b3906da46d9
Homepage: https://cran.r-project.org/package=DiSSMod
Description: CRAN Package 'DiSSMod' (Fitting Sample Selection Models for Discrete Response Variables)
 Tools to fit sample selection models in case of discrete response variables,
 through a parametric formulation which represents a natural extension of the
 well-known Heckman selection model are provided in the package. The response
 variable can be of Bernoulli, Poisson or Negative Binomial type. The sample
 selection mechanism allows to choose among a Normal, Logistic or Gumbel
 distribution.

Package: r-cran-distance.sample.size
Architecture: all
Version: 0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-distance.sample.size_0.0-1.ca2004.1_all.deb
Size: 99864
MD5sum: b474a300a0db8be121da5ebe85de6d3a
SHA1: 08e45b2ea66356921391de64e4ddbed1fdb7540d
SHA256: 3d546e8e8231150a41051b7e12b197eab62fa66425ec87d56b663dfff93475ad
SHA512: 1a43df3e8c708ca1dd6355678d69dcadb55a727ce011beae07b9e45c16d276fab21a75093884de2e3e9444776ab55d6c6c7aa93e3c8fe17a2a69ffcdbca696ac
Homepage: https://cran.r-project.org/package=distance.sample.size
Description: CRAN Package 'distance.sample.size' (Calculates Study Size Required for Distance Sampling)
 Calculates the study size (either number of detections, or proportion of
 region that should be covered) to achieve a target precision for the
 estimated abundance. The calculation allows for the penalty due to unknown
 detection function, and for overdispersion. The user must specify a guess at
 the true detection function.

Package: r-cran-distance
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mrds, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-covr, r-cran-progress, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-activity, r-cran-testthat, r-cran-optimx, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-distance_2.0.0-1.ca2004.1_all.deb
Size: 386776
MD5sum: b6aace33a17ecdb0b8c9ffe98d114cb7
SHA1: 4d85334a6fc9c34afc0669ef5060db00a60e37bf
SHA256: b670216c9b29a79bb865add89806d44387d806625b1a2302e6ea815d9fb0766b
SHA512: 0097b8a1c8ace805cadcf8ee573c1b7d2db264ca31b1461b9be2461db18add8df4eb9405ada5cf47ce716d692ee64808abfed7ee11ac678f342e8f05521f77b9
Homepage: https://cran.r-project.org/package=Distance
Description: CRAN Package 'Distance' (Distance Sampling Detection Function and Abundance Estimation)
 A simple way of fitting detection functions to distance sampling data for
 both line and point transects. Adjustment term selection, left and right
 truncation as well as monotonicity constraints and binning are supported.
 Abundance and density estimates can also be calculated (via a
 Horvitz-Thompson-like estimator) if survey area information is provided. See
 Miller et al. (2019) <doi:10.18637/jss.v089.i01> for more information on
 methods and <https://examples.distancesampling.org/> for example analyses.

Package: r-cran-distancehd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-distancehd_1.2-1.ca2004.1_all.deb
Size: 346200
MD5sum: a197016b6581e0e745b57809a417ba37
SHA1: 15f677741084a2f36938824f89535e96779c2600
SHA256: f7f56c86ba12f231417646979d2287f697e83680deb1a8fd57f9fa1d37c18327
SHA512: 41723f5126494773782da3f333ced2f93498ca49184a10e00aa6406402930adeabbab6bf9914c6750db7afb19595f9d7ae0574085dd9b1eaa2a5d4639444724c
Homepage: https://cran.r-project.org/package=distanceHD
Description: CRAN Package 'distanceHD' (Distance Metrics for High-Dimensional Clustering)
 We provide three distance metrics for measuring the separation between two
 clusters in high-dimensional spaces. The first metric is the centroid
 distance, which calculates the Euclidean distance between the centers of the
 two groups. The second is a ridge Mahalanobis distance, which incorporates a
 ridge correction constant, alpha, to ensure that the covariance matrix is
 invertible. The third metric is the maximal data piling distance, which
 computes the orthogonal distance between the affine spaces spanned by each
 class. These three distances are asymptotically interconnected and are
 applicable in tasks such as discrimination, clustering, and outlier
 detection in high-dimensional settings.

Package: r-cran-distanceto
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-nabor, r-cran-geodist
Suggests: r-cran-fasterize, r-cran-knitr, r-cran-rmarkdown, r-cran-raster, r-cran-tinytest, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-distanceto_0.0.3-1.ca2004.1_all.deb
Size: 69804
MD5sum: 1dcb8d55a70f0a2e912fd3524f9ae67e
SHA1: af97a2f443948292690596a10b9555fd36529e61
SHA256: 2b41cc44d0a03fceef019a944b641dc48c2bf004a2b4a444b8530d03f517e8bb
SHA512: fb966c34dd6f737f2f0c24e8fcd44a4d98612b0ec48cf25a1e2336bea30a73b8d07202a4128863d1364aac72c453fb418e880c3ea7be65652340c9855cc77b17
Homepage: https://cran.r-project.org/package=distanceto
Description: CRAN Package 'distanceto' (Calculate Distance to Features)
 Calculates distances from point locations to features.  The usual approach
 for eg. resource selection function analyses is to generate a complete
 distance to features surface then sample it with your observed and random
 points. Since these raster based approaches can be pretty costly with large
 areas, and often lead to memory issues in R, the distanceto package opts to
 compute these distances using efficient, vector based approaches. As a
 helper, there's a decidedly low-res raster based approach for visually
 inspecting your region's distance surface. But the workhorse is distance_to.

Package: r-cran-distatisr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-prettygraphs, r-cran-car, r-cran-readxl, r-cran-dplyr, r-cran-tidytext
Filename: pool/dists/focal/main/r-cran-distatisr_1.1.1-1.ca2004.1_all.deb
Size: 319064
MD5sum: 92eee65ec19bb8f0e424b957555e5eb2
SHA1: 583706c681c144cba5bcdccdd9c101255060f5fc
SHA256: cb80fc7bcc3ad23cfbe668055ba6e2e099f73a8d04f4983a7c371caf1b4f318f
SHA512: eb8281659c372167a99707edb6e201fb1a565a14d94704494d86552ba6d0e9b6c1fc147811651f60e6fa395d92239c2815d9d1b0d80271ceaf5ac9fb1df09bcd
Homepage: https://cran.r-project.org/package=DistatisR
Description: CRAN Package 'DistatisR' (DiSTATIS Three Way Metric Multidimensional Scaling)
 Implement DiSTATIS and CovSTATIS (three-way multidimensional scaling).
 DiSTATIS and CovSTATIS are used to analyze multiple distance/covariance
 matrices collected on the same set of observations. These methods are based
 on Abdi, H., Williams, L.J., Valentin, D., & Bennani-Dosse, M. (2012)
 <doi:10.1002/wics.198>.

Package: r-cran-distcrete
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distcrete_1.0.3-1.ca2004.1_all.deb
Size: 50504
MD5sum: 00a14d3938b137b808d1c256ea2e4747
SHA1: 0cb14d97b4fdcb27455c94e593c478294a5b9cce
SHA256: 1a06f762d1d997925daedbaaf4b74079340e4e4ba19df66b985c52af9ffbd88e
SHA512: d88eb2c8c09b1128a7e71e7da67694a7b86f3115139b320fa90cf2cb75b6d20d71629772ccc00ddfee6dc30f51a725d8dd651a9ea10737b3a623ff73326d20cb
Homepage: https://cran.r-project.org/package=distcrete
Description: CRAN Package 'distcrete' (Discrete Distribution Approximations)
 Creates discretised versions of continuous distribution functions by mapping
 continuous values to an underlying discrete grid, based on a (uniform)
 frequency of discretisation, a valid discretisation point, and an
 integration range. For a review of discretisation methods, see Chakraborty
 (2015) <doi:10.1186/s40488-015-0028-6>.

Package: r-cran-distdichor
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-sn, r-cran-emmeans, r-cran-nlme
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-distdichor_0.1-1-1.ca2004.1_all.deb
Size: 160208
MD5sum: b765b3ea68aee4884e1ef70bff0b7d36
SHA1: 865a0360ba25876b4c75ec4da2c5efc2f1517c85
SHA256: d7f8737554e45fda9c7e8bb87c63ebde6e7818dc675382f526fc3fcfc39d7e54
SHA512: 70dd5eb93ce231d76a38cc6ca6036d821e03fe9630b6fb4c9355d3e52498e34e22d1e45bcd60e6f90aaa71e7910756836455aba571d257883178d9c6a7d35f6a
Homepage: https://cran.r-project.org/package=distdichoR
Description: CRAN Package 'distdichoR' (Distributional Method for the Dichotomisation of ContinuousOutcomes)
 Contains a range of functions covering the present development of the
 distributional method for the dichotomisation of continuous outcomes.  The
 method provides estimates with standard error of a comparison of proportions
 (difference, odds ratio and risk ratio) derived, with similar precision,
 from a comparison of means.  See the URL below or <arXiv:1809.03279> for
 more information.

Package: r-cran-distfree.cr
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-distfree.cr_1.5.1-1.ca2004.1_all.deb
Size: 28212
MD5sum: 9169c11f432090f5335b6569442b3103
SHA1: 9124bd16c9226121ae1cf2c2b6015a28c416a2fb
SHA256: d82dd118ef48b1c2c83dbf8212708370dd002e09038c08c3991ea66a50fc9421
SHA512: 3d5ec7cb5988c05d741fae00fc7ed2006258cd06f79556274e00b4ec8e6c8dbf87af1441aa57508c0e3cd232521f4db320009f9a141fe2fa28fe8581267e6879
Homepage: https://cran.r-project.org/package=distfree.cr
Description: CRAN Package 'distfree.cr' (Distribution-Free Confidence Region)
 Constructs confidence regions without the need to know the sampling
 distribution of bivariate data. The method was proposed by Zhiqiu Hu &
 Rong-cai Yang (2013) <doi:10.1371/journal.pone.0081179.g001>.

Package: r-cran-distfreereg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1075
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clue, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-matrix, r-cran-mvtnorm, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-distfreereg_1.0.1-1.ca2004.1_all.deb
Size: 664784
MD5sum: d39123d4ce9a6358d790506aec2814da
SHA1: a0d6e64a4d5f19c93700434d5e4c39f5736ea2aa
SHA256: d88863e08d944715d273b918475fa50d5e7d521109b6036e24895817716a87fb
SHA512: ade17ebbfbed7a4bd4c0bbeb2eb9418976c83dba372f0324bc9500d62147af1f7d811ec82bbbd680dcbe0046a33e6f64c6f83c5092fd84aaf358e6720a35be99
Homepage: https://cran.r-project.org/package=distfreereg
Description: CRAN Package 'distfreereg' (Distribution-Free Goodness-of-Fit Testing for Regression)
 Implements distribution-free goodness-of-fit regression testing for the mean
 structure of parametric models introduced in Khmaladze (2021)
 <doi:10.1007/s10463-021-00786-3>.

Package: r-cran-distfromq
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-purrr, r-cran-zeallot
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distfromq_1.0.4-1.ca2004.1_all.deb
Size: 199340
MD5sum: c78bbae5d835ac216a17334fe61f4168
SHA1: 363b6beec332b7ad8347a38be6f9f0c5770fd6b1
SHA256: 4b9600a8c226365624bb3271dde75554f1f0af0490a70ae75b84b7f1abbe63b7
SHA512: f1a71bc75dbce58c89be67f6d614bc6730f98d80e1e837a4e2800401c0d3babc87b9b08c779c523aace7c73959b5c6a0ae8fee1401e38c5e374a8a9ad3986188
Homepage: https://cran.r-project.org/package=distfromq
Description: CRAN Package 'distfromq' (Reconstruct a Distribution from a Collection of Quantiles)
 Given a set of predictive quantiles from a distribution, estimate the
 distribution and create `d`, `p`, `q`, and `r` functions to evaluate its
 density function, distribution function, and quantile function, and generate
 random samples. On the interior of the provided quantiles, an interpolation
 method such as a monotonic cubic spline is used; the tails are approximated
 by a location-scale family.

Package: r-cran-distill
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 939
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-bookdown, r-cran-digest, r-cran-downlit, r-cran-htmltools, r-cran-jsonlite, r-cran-knitr, r-cran-lubridate, r-cran-mime, r-cran-openssl, r-cran-png, r-cran-rmarkdown, r-cran-rprojroot, r-cran-rstudioapi, r-cran-stringr, r-cran-whisker, r-cran-xfun, r-cran-xml2, r-cran-yaml
Suggests: r-cran-covr, r-cran-diagrammer, r-cran-htmlwidgets, r-cran-progress, r-cran-r2d3, r-cran-rsconnect, r-cran-shiny, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-distill_1.6-1.ca2004.1_all.deb
Size: 432628
MD5sum: 0679456582c8c18810385000a7b5bd99
SHA1: 5ac6d5c971987b8bf42f7cb9ad53b590689f1045
SHA256: 2bd542cb1c90b1957321d568d212f20447c61bfe7a2ea2efdd3d889f5df2a9dc
SHA512: 698b3f1fb6e311e26a15543c6edceaf7e99476862c012505f5438c5da0f1bf88861e117ecf0f2992f6504b1814f39517ddf7418fbef741a99ffd6ecb277a9e46
Homepage: https://cran.r-project.org/package=distill
Description: CRAN Package 'distill' ('R Markdown' Format for Scientific and Technical Writing)
 Scientific and technical article format for the web.  'Distill' articles
 feature attractive, reader-friendly typography, flexible layout options for
 visualizations, and full support for footnotes and citations.

Package: r-cran-distillery
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-distillery_1.2-2-1.ca2004.1_all.deb
Size: 121892
MD5sum: 3edcd5b54c0a1d068e3fe3022af7a2f9
SHA1: baae9ebc0b765fb401c632372eb19999e9e058e6
SHA256: ba43872d48929b159857230f250bc0e5237633fd1d6c814cb0bef07543da8d02
SHA512: c6a50681ac3a31ffe883c4fb9ff6cb0a40f13d9bc5f91ceccd24cfb8cc79f60303e6397d6ce12a4d7acec3c54c333467ab1bb4040bb1ba531ba9283088e05fd6
Homepage: https://cran.r-project.org/package=distillery
Description: CRAN Package 'distillery' (Method Functions for Confidence Intervals and to DistillInformation from an Object)
 Some very simple method functions for confidence interval calculation,
 bootstrap resampling aimed at atmospheric science applications, and to
 distill pertinent information from a potentially complex object; primarily
 used in common with packages extRemes and SpatialVx.  To reference this
 package and for a tutorial on the bootstrap functions, please see Gilleland
 (2020) <doi: 10.1175/JTECH-D-20-0069.1> and Gilleland (2020) <doi:
 10.1175/JTECH-D-20-0070.1>.

Package: r-cran-distillml
Architecture: all
Version: 0.1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3473
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-glmnet, r-cran-rforestry, r-cran-dplyr, r-cran-r6, r-cran-checkmate, r-cran-purrr, r-cran-tidyr, r-cran-data.table, r-cran-mltools, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-distillml_0.1.0.13-1.ca2004.1_all.deb
Size: 3456616
MD5sum: 035b164dc873637e64a0b1b60c33d6b0
SHA1: fc24d1eda88a266a94cc88ea8c7e7a38f9cec563
SHA256: 0209f90264beaeb4a7ea2ba6f8a4e00377317254e51a62e1614c4df2be122fdf
SHA512: ad3a94a9452c56484762d9e78c66c6106f16f61412b0cc1618dc817cad676b61c547f38ac6126f2396df714d257b3f2a1ef3926a8b503cb1ba25357d848a5098
Homepage: https://cran.r-project.org/package=distillML
Description: CRAN Package 'distillML' (Model Distillation and Interpretability Methods for MachineLearning Models)
 Provides several methods for model distillation and interpretability for
 general black box machine learning models and treatment effect estimation
 methods. For details on the algorithms implemented, see
 <https://forestry-labs.github.io/distillML/index.html> Brian Cho, Theo F.
 Saarinen, Jasjeet S. Sekhon, Simon Walter.

Package: r-cran-distinctiveness
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-distinctiveness_1.0.1-1.ca2004.1_all.deb
Size: 51868
MD5sum: 5c239e208489ac9c1d5f1d8a2500701d
SHA1: a820f29b2ae00c8f2c08886097dff140c61b287a
SHA256: 710637a3b44a398c45e780b48fb03bc7c1023d997540347e3ca920a8d23db81c
SHA512: 298c6cd74c008125ca84812381c769cc48aa74fb8c04b48f5e4b927a7267493691a093988c751944357d598a3648aadfc1120e90afe1cc9fd098b76d9fdd3542
Homepage: https://cran.r-project.org/package=distinctiveness
Description: CRAN Package 'distinctiveness' (Distinctiveness Centrality)
 Calculates Distinctiveness Centrality in social networks.  For formulas and
 descriptions, see Fronzetti Colladon and Naldi (2020)
 <doi:10.1371/journal.pone.0233276>.

Package: r-cran-disto
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proxy, r-cran-dplyr, r-cran-assertthat, r-cran-fastmatch, r-cran-tidyr, r-cran-factoextra, r-cran-ggplot2, r-cran-broom, r-cran-fastcluster, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-disto_0.2.0-1.ca2004.1_all.deb
Size: 349096
MD5sum: dc76897f6bedf34efdebf831dde3886c
SHA1: a429a7fe896713f2b80a2763e8dabc62866c5543
SHA256: eab051d008fbbbe6ca8de47e597357f2caa70e3ebb258f73872a4b11f04dbfeb
SHA512: 54821299b775e163d1257dd954f86c59c79054c3981b2df728bb77dc106ac504aae10c83de974f0ac4706769a3362da2e54b4bc8dfd0ff721c9435b5ebcdc52c
Homepage: https://cran.r-project.org/package=disto
Description: CRAN Package 'disto' (Unified Interface to Distance, Dissimilarity, SimilarityMatrices)
 Provides a high level API to interface over sources storing distance,
 dissimilarity, similarity matrices with matrix style extraction, replacement
 and other utilities. Currently, in-memory dist object backend is supported.

Package: r-cran-distplotter
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2088
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colourpicker, r-cran-dplyr, r-cran-dt, r-cran-extradistr, r-cran-ggplot2, r-cran-rio, r-cran-scales, r-cran-shiny, r-cran-shinyalert, r-cran-shinybs, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-distplotter_0.0.2-1.ca2004.1_all.deb
Size: 1470776
MD5sum: eda47d25a3bc06d15cbc560b692e61e1
SHA1: c08d56d89ce9dddcaf76361e02184ea61f66c428
SHA256: 33e8435548b464c4aa37d949e6779c3b9c812e44bf8ad7983aaed402430cc5eb
SHA512: a92400c6fe1c44ca7840f740867d5fc3f9c2aef7cbbbd3d22267b276cbd77c1afaf544b4f0779e957d7c322a65f412ef33cfbf54e985d803b714371c6fef0e5b
Homepage: https://cran.r-project.org/package=DistPlotter
Description: CRAN Package 'DistPlotter' (A Graphical User Interface for Plotting Common UnivariateDistributions)
 Package including an interactive Shiny application for plotting common
 univariate distributions.

Package: r-cran-distrdoc
Architecture: all
Version: 2.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-distrex, r-cran-distrsim, r-cran-distrtest, r-cran-distrteach, r-cran-randvar, r-cran-distrmod, r-cran-mass, r-cran-startupmsg
Suggests: r-bioc-biobase, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-distrdoc_2.8.5-1.ca2004.1_all.deb
Size: 1751176
MD5sum: 7b951c6efa7747c90be99289af202946
SHA1: 2daa25d04e6b903b030c11be37487bb2a1f5aa02
SHA256: 7c5e2648a0b18cb186e40b30dfa5219014dd49a82cddf06f9e544cb119ed7ccb
SHA512: e8d243bee43e2c144bef899b56c586edd9543e000cfd373cd728c0083a6d465830664be96024eed1adbb0fd6353c58dec848086deb2a4032abd4a96e85956984
Homepage: https://cran.r-project.org/package=distrDoc
Description: CRAN Package 'distrDoc' (Documentation for 'distr' Family of R Packages)
 Provides documentation in form of a common vignette to packages 'distr',
 'distrEx', 'distrMod', 'distrSim', 'distrTEst', 'distrTeach', and
 'distrEllipse'.

Package: r-cran-distreg.vis
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-bamlss, r-cran-gamlss, r-cran-gamlss.dist, r-cran-ggplot2, r-cran-rhandsontable, r-cran-magrittr, r-cran-formatr, r-cran-betareg
Suggests: r-cran-testthat, r-cran-gridextra, r-cran-glogis
Filename: pool/dists/focal/main/r-cran-distreg.vis_1.7.5-1.ca2004.1_all.deb
Size: 180572
MD5sum: a9e097bb6d925e8c1186a5c253d51a50
SHA1: 54783b1ba32a6a98aea4884cd84bbdd7d3e0d244
SHA256: 1ace32f2e0eae996caa4d248cf8b5feaf6b3e08be0ec7c98180534749e88da6e
SHA512: cbc6c99bd26d027a36f2851f105cfcdee29b4a3e1d9eb362384b88cbb2063dbf2d7479444000d59df834fd0ed1054163a320241ef98d64eb961b2fa36adeedf6
Homepage: https://cran.r-project.org/package=distreg.vis
Description: CRAN Package 'distreg.vis' (Framework for the Visualization of Distributional RegressionModels)
 Functions for visualizing distributional regression models fitted using the
 'gamlss', 'bamlss' or 'betareg' R package. The core of the package consists
 of a 'shiny' application, where the model results can be interactively
 explored and visualized.

Package: r-cran-distrellipse
Architecture: all
Version: 2.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-setrng, r-cran-distr, r-cran-distrex, r-cran-distrsim, r-cran-startupmsg
Suggests: r-cran-distrmod, r-cran-distrtest
Filename: pool/dists/focal/main/r-cran-distrellipse_2.8.4-1.ca2004.1_all.deb
Size: 779196
MD5sum: 2cefa901778b4dcafa40024407fea6cf
SHA1: 880588c41e91a7fc57b52cb30c6b93e8e3b4e1ae
SHA256: e167d0314123d42e76867a878bed018685c14a4ec281559e023ed621cbd278fc
SHA512: dbdb2727bce2a29d2f0755fd0dbbee78d1982f0503bff991619635754ac83c541ff39640241c58df7bdd47dddcca907971d108394c249e935a3fad8d7de6f25a
Homepage: https://cran.r-project.org/package=distrEllipse
Description: CRAN Package 'distrEllipse' (S4 Classes for Elliptically Contoured Distributions)
 Distribution (S4-)classes for elliptically contoured distributions (based on
 package 'distr').

Package: r-cran-distrib
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-distrib_1.0-1.ca2004.1_all.deb
Size: 24712
MD5sum: 8f502fc7d469ddee077af2676c9d61ca
SHA1: a197b112a601cce75a015b299848d832ede86441
SHA256: 87ccd3fcb8ab99391d595fc4af62a497cadb15be7d7eb97adbd820f0e0bbfc20
SHA512: dd8e5052c75ed837d36a29dd74678ab17a2b463f2f0269777a7f743f2b819b03209cb747b495988bc17141f0ed8e0d2dca29365ec57e033aee00dfefc3836148
Homepage: https://cran.r-project.org/package=DISTRIB
Description: CRAN Package 'DISTRIB' (Four Essential Functions for Statistical Distributions Analysis:A New Functional Approach)
 A different way for calculating pdf/pmf, cdf, quantile and random data such
 that the user is able to consider the name of related distribution as an
 argument and so easily can changed by a changing argument by user. It must
 be mentioned that the core and computation base of package 'DISTRIB' is
 package 'stats'. Although similar functions are introduced previously in
 package 'stats', but the package 'DISTRIB' has some special applications in
 some special computational programs.

Package: r-cran-distribglm
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr
Suggests: r-cran-testthat, r-cran-httr, r-cran-jsonlite, r-cran-plumberdeploy, r-cran-analogsea
Filename: pool/dists/focal/main/r-cran-distribglm_0.4.1-1.ca2004.1_all.deb
Size: 117212
MD5sum: dfde01e996e649f1c39c85f6f1de80fd
SHA1: 9eaf98f0c34d53058e12b18ddae78d253713ab46
SHA256: 08fa71682b6daa9264dab51f284414a67ec45ecff6be5e15a48bdd1f05581140
SHA512: c41469759c2937deea24aeee1f33ddd0a107e36a680445b9b610c7d5e2112e259bc79dfb8f799a2e1175e74a4cf5200ec5984e5da3e31b180913f2ac30558f5c
Homepage: https://cran.r-project.org/package=distribglm
Description: CRAN Package 'distribglm' (Distributed Generalized Linear Models)
 Distributed generalized linear models (GLM) fitting using Fisher scoring
 from McCullagh and Nelder (1989) <ISBN:0412317605>.  Models are to be fit
 using a primary-secondary relationship, where the results are written to a
 synced folder, but data can be elsewhere though it is loaded in memory.
 Additional functions are available for deploying a plumber 'API'.

Package: r-cran-distributacalcul
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-statmod, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-learnr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distributacalcul_0.4.0-1.ca2004.1_all.deb
Size: 278060
MD5sum: 772cf09249d64a4e22a93c9acd2b9e02
SHA1: 92c2ddc5f74c1ba403264ea73a6403067b2a033f
SHA256: 8dc043c09a5af574a1631cb29d6265f33482d3f6a66a4a6100a46c3fc964f14c
SHA512: f99014ec128fdc50bc7bfa5f552ac578b1fd08bc2a2d62d33245061a20a36f3e0c071702ee4db0e4ac5d35b28e6659d7ebf4259135e2919e1db46d0a1b4df7b4
Homepage: https://cran.r-project.org/package=Distributacalcul
Description: CRAN Package 'Distributacalcul' (Probability Distribution Functions)
 Calculates expected values, variance, different moments (kth moment,
 truncated mean), stop-loss, mean excess loss, Value-at-Risk (VaR) and Tail
 Value-at-Risk (TVaR) as well as some density and cumulative (survival)
 functions of continuous, discrete and compound distributions.  This package
 also includes a visual 'Shiny' component to enable students to visualize
 distributions and understand the impact of their parameters.  This package
 is intended to expand the 'stats' package so as to enable students to
 develop an intuition for probability.

Package: r-cran-distributional
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vctrs, r-cran-rlang, r-cran-generics, r-cran-numderiv, r-cran-lifecycle, r-cran-pillar
Suggests: r-cran-testthat, r-cran-covr, r-cran-mvtnorm, r-cran-actuar, r-cran-evd, r-cran-ggdist, r-cran-ggplot2, r-cran-gk
Filename: pool/dists/focal/main/r-cran-distributional_0.5.0-1.ca2004.1_all.deb
Size: 459160
MD5sum: 3098c76a6c9c32d6288c2b86ff049b7f
SHA1: 21c51ff31e882e1aac737b449d926bc9b6addcb3
SHA256: 057d8d0556f414999e23123c8a0faf5e734afea12197dc6f6cc8d05cb9e50bd3
SHA512: ecb2c069cba5a465317e63b830808e86663e2f5bbcd2d192e56507b511ca92f799ec25d57a0235b4544b5bf18609d908205534aca9917d6749bdc01d1492a25d
Homepage: https://cran.r-project.org/package=distributional
Description: CRAN Package 'distributional' (Vectorised Probability Distributions)
 Vectorised distribution objects with tools for manipulating, visualising,
 and using probability distributions. Designed to allow model prediction
 outputs to return distributions rather than their parameters, allowing users
 to directly interact with predictive distributions in a data-oriented
 workflow. In addition to providing generic replacements for p/d/q/r
 functions, other useful statistics can be computed including means,
 variances, intervals, and highest density regions.

Package: r-cran-distributionfitr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-distributionfitr_0.1-1.ca2004.1_all.deb
Size: 275508
MD5sum: a5ccb99a17db07d021b53adaea4f9c35
SHA1: 65e6ee25763f13e0c302581b4344415253346634
SHA256: eb2c95e0dcf3c922f17fafc8392ac94bcb561e0993d9f7f26e7f4a6f3afa07c3
SHA512: 652d001c01b1f9c78dab52ca1bb2a0d30e8f57f4ef06a794b954af5e6a9eb36bf3123050f20297e9ed316b71b7d2e3c239b1ee0bcae843a3a40cff4cca4ff8b0
Homepage: https://cran.r-project.org/package=DistributionFitR
Description: CRAN Package 'DistributionFitR' (Fitting Multiple Parametric Distributions)
 Given an univariate dataset, returns the best fitting parameter families, as
 defined in Shao (2003) <doi:10.1007/B97553>, including their parameter
 estimates via maximum likelihood.

Package: r-cran-distributioniv
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-torch, r-cran-checkmate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distributioniv_0.1.2-1.ca2004.1_all.deb
Size: 61072
MD5sum: 1e93afcd5059171ee586124fd5267aed
SHA1: fc1fbe6648380bdebc70f0398616ef5fd98f9836
SHA256: f6ef0b041d2faee822a8a9e81d0463cb1bb610371550e069e34e36b3bcfd3416
SHA512: 8737518e27fbdadb13bf0c8a01b9209bf3fe6c7e5944f7a17ccf2557a5f6cd9cab91597d2cd9542a908d5d2d5088e617544af7748020eb7833ce3e948ad61d4c
Homepage: https://cran.r-project.org/package=DistributionIV
Description: CRAN Package 'DistributionIV' (Distributional Instrumental Variable (DIV) Model)
 Distributional instrumental variable (DIV) model for estimation of the
 interventional distribution of the outcome Y under a do-intervention on the
 treatment X. Instruments, predictors and targets can be univariate or
 multivariate. Functionality includes estimation of the (conditional)
 interventional mean and quantiles, as well as sampling from the fitted
 (conditional) interventional distribution.

Package: r-cran-distributionoptimization
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ga, r-cran-adaptgauss, r-cran-pracma
Suggests: r-cran-paralleldist
Filename: pool/dists/focal/main/r-cran-distributionoptimization_1.2.6-1.ca2004.1_all.deb
Size: 59612
MD5sum: da7f84adcfd02e1706e0048175dc1470
SHA1: 165a9a5ab99871e00f6503c21dd830356eede94d
SHA256: 5d8c190fdd4fddba8b63abc858d4d0c359c095d899907c70ec285114f642e4a5
SHA512: fe85271dea1b7df7fb10ab462ee7af7627086914da9a5def8e77ff68f46cf67835590e45e71697290d816b7cceead490ad8f06bce24ffd7c6bdd14f740f1178d
Homepage: https://cran.r-project.org/package=DistributionOptimization
Description: CRAN Package 'DistributionOptimization' (Distribution Optimization)
 Fits Gaussian Mixtures by applying evolution. As fitness function a mixture
 of the chi square test for distributions and a novel measure for
 approximating the common area under curves between multiple Gaussians is
 used. The package presents an alternative to the commonly used Likelihood
 Maximization as is used in Expectation Maximization. The algorithm and
 applications of this package are published under: Lerch, F., Ultsch, A.,
 Lotsch, J. (2020) <doi:10.1038/s41598-020-57432-w>. The evolution is based
 on the 'GA' package: Scrucca, L. (2013) <doi:10.18637/jss.v053.i04> while
 the Gaussian Mixture Logic stems from 'AdaptGauss': Ultsch, A, et al. (2015)
 <doi:10.3390/ijms161025897>.

Package: r-cran-distributions3
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1795
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-glue, r-cran-rlang
Suggests: r-cran-cowplot, r-cran-knitr, r-cran-poissonbinomial, r-cran-revdbayes, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-distributions3_0.2.2-1.ca2004.1_all.deb
Size: 1227880
MD5sum: 1c023e53d6e53e7531d0032f595c6c07
SHA1: a78b9608a58cc4922ff1f99749ed628c5c377b97
SHA256: 306ab14224ae5285233a9ee54cb335a68492a54a5c96b9db6b2a48165f207607
SHA512: 6bab2e0c87eecf8ce310f9ece3e3b9a8299ed274d3ec419114669c6d39d4cf2c458ddb751dcff2925db39a27e37b74d85c8060c47d4b2a263778ed6447a33655
Homepage: https://cran.r-project.org/package=distributions3
Description: CRAN Package 'distributions3' (Probability Distributions as S3 Objects)
 Tools to create and manipulate probability distributions using S3.  Generics
 pdf(), cdf(), quantile(), and random() provide replacements for base R's
 d/p/q/r style functions.  Functions and arguments have been named carefully
 to minimize confusion for students in intro stats courses. The documentation
 for each distribution contains detailed mathematical notes.

Package: r-cran-distributionsrd
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-flexmix, r-cran-modeltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distributionsrd_0.0.6-1.ca2004.1_all.deb
Size: 246672
MD5sum: 75c30bd020737a772a9d274aa56242e0
SHA1: c179414949efabbb85ef6d4790328f6e0427d049
SHA256: 8460c25c3f1a09c3562b2cf0633bb3102324f5b7ec898f87a54f4aa397e1454e
SHA512: 6d4d31dd9bcee3f726367c2ed8e40cca3bdcd050f99998c33718dac97744174cb72de8011a4b7b5378ef4fd6e4bb24545bca82978490d99642cdd5e4001b584f
Homepage: https://cran.r-project.org/package=distributionsrd
Description: CRAN Package 'distributionsrd' (Distribution Fitting and Evaluation)
 A library of density, distribution function, quantile function, (bounded)
 raw moments and random generation for a collection of distributions relevant
 for the firm size literature. Additionally, the package contains tools to
 fit these distributions using maximum likelihood and evaluate these
 distributions based on (i) log-likelihood ratio and (ii) deviations between
 the empirical and parametrically implied moments of the distributions. We
 add flexibility by allowing the considered distributions to be combined into
 piecewise composite or finite mixture distributions, as well as to be used
 when truncated. See Dewitte (2020) <https://hdl.handle.net/1854/LU-8644700>
 for a description and application of methods available in this package.

Package: r-cran-distributiontest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-distributiontest_1.1-1.ca2004.1_all.deb
Size: 48620
MD5sum: 22af7550d3a64ad104819cf60b9290f1
SHA1: 064603a9b782e37db6481c085467d5097598a88e
SHA256: 6c311b2a35226a822f121e656452111741a9a8a6de53a4b5187208d694aa8671
SHA512: 2297ba67090ae3a939417783dcdfb579e1ff25e2f1f0afece4122940fe890ee814d57655047c154dd0226e5eb0d6b5f571ad94bb710fd938f60c7dcef4269807
Homepage: https://cran.r-project.org/package=DistributionTest
Description: CRAN Package 'DistributionTest' (Powerful Goodness-of-Fit Tests Based on the Likelihood Ratio)
 Provides new types of omnibus tests which are generally much more powerful
 than traditional tests (including the Kolmogorov-Smirnov, Cramer-von Mises
 and Anderson-Darling tests),see Zhang (2002) <doi:10.1111/1467-9868.00337>.

Package: r-cran-distrmod
Architecture: all
Version: 2.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2702
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-distrex, r-cran-randvar, r-cran-mass, r-cran-startupmsg, r-cran-sfsmisc
Suggests: r-cran-ismev, r-cran-evd
Filename: pool/dists/focal/main/r-cran-distrmod_2.9.7-1.ca2004.1_all.deb
Size: 2026840
MD5sum: 6b2519569eb9dd05bd6a43c6bfb9292d
SHA1: 49cecd1de91dae647a0ed66283f4f819f11c4b9e
SHA256: d021b927d3c37d361c896c81092838d229eb9c99bdef158d1a38182cb38b0bee
SHA512: 218c71dbf54acd36907483e14b2b8e332502515e899455953f5cde55fd6f85cf4e7bd4fa15deacd39b43d84f0a49e55067b718e62055a61810df31fa6badcf5c
Homepage: https://cran.r-project.org/package=distrMod
Description: CRAN Package 'distrMod' (Object Oriented Implementation of Probability Models)
 Implements S4 classes for probability models based on packages 'distr' and
 'distrEx'.

Package: r-cran-distro
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-distro_0.1.0-1.ca2004.1_all.deb
Size: 13236
MD5sum: 938b05e21b70e720e5bc432723b9e934
SHA1: c7f64fb2dee3508efb65b65929c7754b72b615bf
SHA256: 80da24fe3b2679a05bf19e48ee34c7690f74486175e5ba65190dcffb52170837
SHA512: 617db5de9c194e7eef94d1a91d777e34c39a2c9937d327514361dfa0c11eac2ef3ae0da1eb9ba72f55d3b68193b8db24fea5ecfac40b81c593af658b199e7adc
Homepage: https://cran.r-project.org/package=distro
Description: CRAN Package 'distro' (Linux Distribution Properties)
 In order to provide unified access to Linux distribution details in R, this
 package wraps the various files and commands that may exist on a system. It
 is similar in spirit to the 'lsb_release' command and the 'Python' package
 of the same name.

Package: r-cran-distrom
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-gamlr
Suggests: r-cran-mass, r-cran-textir
Filename: pool/dists/focal/main/r-cran-distrom_1.0.1-1.ca2004.1_all.deb
Size: 44188
MD5sum: f0d0a84a1b33ab21d78420760591246b
SHA1: d13b09b45470fae88e8cae777325dd419f8e3568
SHA256: bff61c54fb2e8f6cf8d359181b1e296e8243e30df3cca0d14c233d66c3f034a2
SHA512: 2cbc841c0b0ea4b5b006dd593e928082446d82d62d45e3091aa8fb6dc43539d1a157338ac91343e81e16c52e1df057720d2c768e6528c46542a6cc03bbca6854
Homepage: https://cran.r-project.org/package=distrom
Description: CRAN Package 'distrom' (Distributed Multinomial Regression)
 Fast distributed/parallel estimation for multinomial logistic regression via
 Poisson factorization and the 'gamlr' package.  For details see: Taddy
 (2015, AoAS), Distributed Multinomial Regression, <arXiv:1311.6139>.

Package: r-cran-distrr
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-distrr_0.0.6-1.ca2004.1_all.deb
Size: 81452
MD5sum: 52db685e42646c833bcdd9031f7c5522
SHA1: 2e7c812498d397f0d081420692f46134671e34e2
SHA256: 132e20c1243a41bbe0f8630345f9d55b7500b2fe658063d54984f70fb0e292d1
SHA512: ee7753a24c54c8a09e2c2bfae93b848ee2e1cb6e7720fe7c74ecd01663844f1243a92e1e7eea5921846f6662e97d3ce36210514b33c76910e51da608d62bc8a8
Homepage: https://cran.r-project.org/package=distrr
Description: CRAN Package 'distrr' (Estimate and Manage Empirical Distributions)
 Tools to estimate and manage empirical distributions, which should work with
 survey data. One of the main features is the possibility to create data
 cubes of estimated statistics, that include all the combinations of the
 variables of interest (see for example functions dcc5() and dcc6()).

Package: r-cran-distrrmetrics
Architecture: all
Version: 2.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-fbasics, r-cran-fgarch, r-cran-startupmsg
Suggests: r-cran-distrex, r-cran-distrmod
Filename: pool/dists/focal/main/r-cran-distrrmetrics_2.8.3-1.ca2004.1_all.deb
Size: 79448
MD5sum: 339025f424982323235c2f23b0cb8cdf
SHA1: c41c00236e9dc50e0b13099d71591ad8fddf3919
SHA256: 5c91224a8a0687353abc4432d6184b1f063f7e2c9a2e2bff88831f85adcc1a19
SHA512: 72615bfbbc1776ea01fc549d25cfa15c635534271817f535988b53fc91ca1543247c6eef31b78e71f0f0592cadb1e0a930b126652b5cb284d64ea35678e38b36
Homepage: https://cran.r-project.org/package=distrRmetrics
Description: CRAN Package 'distrRmetrics' (Distribution Classes for Distributions from Rmetrics)
 S4-distribution classes based on package distr for distributions from
 packages 'fBasics' and 'fGarch'.

Package: r-cran-distrsim
Architecture: all
Version: 2.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 823
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-setrng, r-cran-distr, r-cran-startupmsg
Suggests: r-cran-distrex
Filename: pool/dists/focal/main/r-cran-distrsim_2.8.5-1.ca2004.1_all.deb
Size: 509196
MD5sum: 8829646b7d6a25a443c5d0fdff1582a3
SHA1: e68dfd6b3f7e56d8a32484e771df5bf89c902d87
SHA256: 654a0320ac5fa0b3b6c840b21599cee8120f94b2295552ad8864e15831a0c9b5
SHA512: c82a45226370c6b3dd5584c0cfd25722c075320ea5e0f9a1b247e5c94c686e76177437f85b9ef07f95ccccd247886bde19cc93685bdbb2d7a85804b2ef613144
Homepage: https://cran.r-project.org/package=distrSim
Description: CRAN Package 'distrSim' (Simulation Classes Based on Package 'distr')
 S4-classes for setting up a coherent framework for simulation within the
 distr family of packages.

Package: r-cran-distrteach
Architecture: all
Version: 2.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-distrex, r-cran-startupmsg
Filename: pool/dists/focal/main/r-cran-distrteach_2.9.2-1.ca2004.1_all.deb
Size: 55000
MD5sum: b3f47919fbbaf4ab746f1315c44cef5d
SHA1: 52cf036678a0458eb234eed709ca7e11ac8f994f
SHA256: d457c0b3154320f3a724ea214f131b8539b00ff0311851c55b50810ec2cad51f
SHA512: 8bb6d03859cdf7513ddebc44979c0af0dd774114fb9d1fd2a108b16ab88cb85751a11a279dd539a07fae79779eb358b47f8b28fc8c5daee416a2319b12671a49
Homepage: https://cran.r-project.org/package=distrTeach
Description: CRAN Package 'distrTeach' (Extensions of Package 'distr' for TeachingStochastics/Statistics in Secondary School)
 Provides flexible examples of LLN and CLT for teaching purposes in secondary
 school.

Package: r-cran-distrtest
Architecture: all
Version: 2.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-setrng, r-cran-distrsim, r-cran-startupmsg
Suggests: r-cran-distrex
Filename: pool/dists/focal/main/r-cran-distrtest_2.8.3-1.ca2004.1_all.deb
Size: 449032
MD5sum: da30b4f58dd0f4faeeaa780a224cbee7
SHA1: e1dcdd3d4eb995e930919ef94365e78c940a3c88
SHA256: 06b41309397940c2b105b0e1a92980fc030c39bbfdd8bf2e4fda560bd4270912
SHA512: 142cbe82d768a15c6f3c040906b4b44c44987ab0ad7723129859f2a7e289db34d0500ced09e734068c64bd4a1c79463c4c44022ae9e4d9ba8d1c37b8842c634a
Homepage: https://cran.r-project.org/package=distrTEst
Description: CRAN Package 'distrTEst' (Estimation and Testing Classes Based on Package 'distr')
 Evaluation (S4-)classes based on package distr for evaluating procedures
 (estimators/tests) at data/simulation in a unified way.

Package: r-cran-disttails
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ercv, r-cran-gsl, r-cran-mass
Filename: pool/dists/focal/main/r-cran-disttails_0.1.2-1.ca2004.1_all.deb
Size: 35376
MD5sum: 0f92a620378e969f92c62c2bea680c19
SHA1: 097ac90d029333f76940f4c8f05e323863e23e0a
SHA256: 69a325d28e754f875bff94d073f45c7575a93723f0ca67f23325432af3e7bf45
SHA512: 48c5ce6f676304dda24db316d0153cdcc5598ead52e0ab81e194ae82c73342623a1a2fcfae445f915fd28980d3e8218063089535657563e1404b2c02752c9fb1
Homepage: https://cran.r-project.org/package=distTails
Description: CRAN Package 'distTails' (A Collection of Full Defined Distribution Tails)
 A full definition for Weibull tails and Full-Tails Gamma and tools for
 fitting these distributions to empirical tails. This package build upon the
 paper by del Castillo, Joan & Daoudi, Jalila & Serra, Isabel. (2012)
 <doi:10.1017/asb.2017.9>.

Package: r-cran-disttools
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-disttools_0.1.8-1.ca2004.1_all.deb
Size: 20240
MD5sum: 706bbd6e7bf111a210374a5936b262c6
SHA1: 2adcd329666387735de0aa4c7d7d69d001fd609f
SHA256: 28183d226ed6dbfa166715446d19db69c989aecf313470c13a8864d62c722dc8
SHA512: b4915caedb3477b19e5115d4c82f08af8bde0288262714ed2b5b5de2905457d4eba134fa83f1450e01e6afe89239af3300a2dfc4ef0060674a98eb4a0e109ed6
Homepage: https://cran.r-project.org/package=disttools
Description: CRAN Package 'disttools' (Distance Object Manipulation Tools)
 Provides convenient methods for accessing the data in 'dist' objects with
 minimal memory and computational overhead. 'disttools' can be used to
 extract the distance between any pair or combination of points encoded by a
 'dist' object using only the indices of those points. This is an improvement
 over existing functionality, which requires either coercing a 'dist' object
 into a matrix or calculating the one dimensional index corresponding to a
 pair of observations. Coercion to a matrix is undesirable because doing so
 doubles the amount of memory required for storage. In contrast, there is no
 inherent downside to the latter solution. However, in part due to several
 edge cases, correctly and efficiently implementing such a solution can be
 challenging. 'disttools' abstracts away these challenges and provides a
 simple interface to access the data in a 'dist' object using the latter
 approach.

Package: r-cran-dittodb
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-digest, r-cran-glue, r-cran-rlang, r-cran-lifecycle
Suggests: r-cran-bit64, r-cran-callr, r-cran-covr, r-cran-dplyr, r-cran-dbplyr, r-cran-knitr, r-cran-nycflights13, r-cran-odbc, r-cran-rmariadb, r-cran-rpostgres, r-cran-rpostgresql, r-cran-rsqlite, r-cran-spelling, r-cran-testthat, r-cran-withr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dittodb_0.1.8-1.ca2004.1_all.deb
Size: 255076
MD5sum: 0a7ad3fdd60822a3abda6ad85de6cc0f
SHA1: 3ab9851ec08568d6f3e6ae97295a263f85673d90
SHA256: 54354e8594a9895058d92c8de8b5586af72de07bbb5e78e5bcf8223a9f34d6fb
SHA512: 11882be7ddb02336994af7c40782727e73524fbd4a6cb6dab2cd56d5f852abff4d8e81739e8c5b7c09ff1bff8113ae1d3c9e815b8ac87dbd745cf4fe185d00ef
Homepage: https://cran.r-project.org/package=dittodb
Description: CRAN Package 'dittodb' (A Test Environment for Database Requests)
 Testing and documenting code that communicates with remote databases can be
 painful. Although the interaction with R is usually relatively simple (e.g.
 data(frames) passed to and from a database), because they rely on a separate
 service and the data there, testing them can be difficult to set up,
 unsustainable in a continuous integration environment, or impossible without
 replicating an entire production cluster. This package addresses that by
 allowing you to make recordings from your database interactions and then
 play them back while testing (or in other contexts) all without needing to
 spin up or have access to the database your code would typically connect to.

Package: r-cran-dittoviz
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-ggrepel, r-cran-ggridges
Suggests: r-cran-plotly, r-cran-testthat, r-cran-ggplot.multistats, r-cran-palmerpenguins, r-cran-ggrastr
Filename: pool/dists/focal/main/r-cran-dittoviz_1.0.3-1.ca2004.1_all.deb
Size: 199252
MD5sum: 9794d028538e129c8357cd9992adbb53
SHA1: 1a9471bc9ca65fb63d918f6d79406078b09a4fc8
SHA256: 8c8dda7205707c0e1cdefd13614b4347c6beec327ed87af5fea92488ac0e8731
SHA512: 9320e1b9507dd6de140210e360b3077584b2e8b9d26ceb103913bfd8e44dd8e5d467dd816217330e6d7d44a8163d0324704f3b2b64d61477b0ffd27e1eb3b305
Homepage: https://cran.r-project.org/package=dittoViz
Description: CRAN Package 'dittoViz' (User Friendly Data Visualization)
 A comprehensive visualization toolkit built with coders of all skill levels
 and color-vision impaired audiences in mind. It allows creation of
 finely-tuned, publication-quality figures from single function calls.
 Visualizations include scatter plots, compositional bar plots, violin, box,
 and ridge plots, and more. Customization ranges from size and title
 adjustments to discrete-group circling and labeling, hidden data overlay
 upon cursor hovering via ggplotly() conversion, and many more, all with
 simple, discrete inputs. Color blindness friendliness is powered by legend
 adjustments (enlarged keys), and by allowing the use of shapes or
 letter-overlay in addition to the carefully selected dittoColors().

Package: r-cran-div
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyverse, r-cran-rlang, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-ggplot2, r-cran-gridextra, r-cran-plotly, r-cran-pryr, r-cran-rpart, r-cran-kableextra
Suggests: r-cran-flexdashboard, r-cran-knitr, r-cran-rmarkdown, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-div_0.3.1-1.ca2004.1_all.deb
Size: 786860
MD5sum: d8bb9ee8e6bbb8146e94bc92a06038f3
SHA1: dd7395cf682e619d35d4a7a80c5729a3771572ca
SHA256: f6ee528a477789779b4229a888af70d7e7c8e4f6fa1c1de397397f2ed583abb3
SHA512: 3170c6a94c40df12aefa5d2a78a8f275d3c4b5087efbb132e265f0b7612492c3d79153b31309a2428aa1447b8825a950fed68150b67cf70619ce4ea085da3399
Homepage: https://cran.r-project.org/package=div
Description: CRAN Package 'div' (Report on Diversity and Inclusion in a Corporate Setting)
 Facilitate the analysis of teams in a corporate setting: assess the
 diversity per grade and job, present the results, search for bias (in hiring
 and/or promoting processes).  It also provides methods to simulate the
 effect of bias, random team-data, etc.  White paper: 'Philippe J.S. De
 Brouwer' (2021) <http://www.de-brouwer.com/assets/div/div-white-paper.pdf>.
 Book (chapter 36): 'Philippe J.S. De Brouwer' (2020, ISBN:978-1-119-63272-6)
 and 'Philippe J.S. De Brouwer' (2020) <doi:10.1002/9781119632757>.

Package: r-cran-dive
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3231
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desolve, r-cran-fme, r-cran-sp
Filename: pool/dists/focal/main/r-cran-dive_1.3-1.ca2004.1_all.deb
Size: 3268148
MD5sum: d6a7c0fa5331521028cd4e7bacfcbd2a
SHA1: dd8d8a2e380f60edb057750d4758de35501a1d87
SHA256: b38fd2593ffed9443877729cdc809e5c18bde84694bc5179dc6a275fcb10b5de
SHA512: c1989929e4ef8665938ee1ee9799aeefe1bc46934e2d1f7c58e9cf3b0267ba61b6d43283308209379ca0d423255938c60e1d753091dd1a35469b519c2839225c
Homepage: https://cran.r-project.org/package=DivE
Description: CRAN Package 'DivE' (Diversity Estimator)
 Contains functions for the 'DivE' estimator
 <doi:10.1371/journal.pcbi.1003646>. The 'DivE' estimator is a heuristic
 approach to estimate the number of classes or the number of species (species
 richness) in a population.

Package: r-cran-diver
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-rstudioapi, r-cran-loon, r-cran-loon.data, r-cran-ggmulti, r-cran-loon.ggplot, r-cran-zenplots, r-cran-loon.shiny, r-cran-loon.tourr
Filename: pool/dists/focal/main/r-cran-diver_0.1.2-1.ca2004.1_all.deb
Size: 90244
MD5sum: 8a047a9b79928e31a0c4eadf3a45bb8d
SHA1: 33b9689291b8177078c6d0b0e748baf2097564db
SHA256: 49c0689100f63557a69889d756c9c3966722c9d029650e6b0b2cc155a6c0a782
SHA512: c658c201aa3fb83c29878aab62adaf24980472bf7c7b83434440657b30d8b59ff9c2318a375d3e837d775989b1a25cec62395b7b85a98ddf84ad6438b25b709b
Homepage: https://cran.r-project.org/package=diveR
Description: CRAN Package 'diveR' (Easily Install and Load Interactive Data Visualization Tools)
 A suite of 'loon' related packages providing data analytic tools for Direct
 Interactive Visual Exploration in R ('diveR').  These tools work with and
 complement those of the 'tidyverse' suite, extending the grammar of
 'ggplot2' to become a grammar of interactive graphics.  The suite provides
 many visual tools designed for moderately (100s of variables) high
 dimensional data analysis, through 'zenplots' and novel tools in 'loon', and
 extends the 'ggplot2' grammar to provide parallel coordinates, Andrews
 plots, and arbitrary glyphs through 'ggmulti'.  The 'diveR' package gathers
 together and installs all these related packages in a single step.

Package: r-cran-diverge
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-diverge_2.0.6-1.ca2004.1_all.deb
Size: 389280
MD5sum: 55ef7682e987ffd474de8f9384e70b7e
SHA1: 9f1f1c53fba93c5af56cc84ecd2a7275d6c77d3f
SHA256: 62d6dea12801fde9dcb488ed2b0e40d89113e15edd49a10e2cc4f6db483ed757
SHA512: ee1b3698e1645925cd7eb09ae188150bc8381258158c93dca7c8c7d307b225dd61397e770a6261da936a01c825d8e0506b305e6d4a343bd7bd27283893f640db
Homepage: https://cran.r-project.org/package=diverge
Description: CRAN Package 'diverge' (Evolutionary Trait Divergence Between Sister Species and OtherPaired Lineages)
 Compares the fit of alternative models of continuous trait differentiation
 between sister species and other paired lineages. Differences in trait means
 between two lineages arise as they diverge from a common ancestor, and
 alternative processes of evolutionary divergence are expected to leave
 unique signatures in the distribution of trait differentiation in datasets
 comprised of many lineage pairs. Models include approximations of divergent
 selection, drift, and stabilizing selection. A variety of model extensions
 facilitate the testing of process-to-pattern hypotheses. Users supply trait
 data and divergence times for each lineage pair. The fit of alternative
 models is compared in a likelihood framework.

Package: r-cran-diverse
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proxy, r-cran-reshape2, r-cran-foreign
Suggests: r-cran-pheatmap, r-cran-igraph, r-cran-entropart
Filename: pool/dists/focal/main/r-cran-diverse_0.1.5-1.ca2004.1_all.deb
Size: 73320
MD5sum: b3236687e09007c75ef5e21272495b2f
SHA1: f3614ec5d3406309a7f444aa93618689e14893db
SHA256: 61e0655013823f2bfaa42004d03a7b02173082d0f5cf8fac8d0dcdb1ae059f1f
SHA512: d65897506769435443df6768375f240cb0103bf9a5da71bfaeffee232644f23a3a81e1542743b4f6063cab2ca852fe18f3397e1dfb8a54bb0c88b9ff75f3a853
Homepage: https://cran.r-project.org/package=diverse
Description: CRAN Package 'diverse' (Diversity Measures for Complex Systems)
 Computes the most common diversity measures used in social and other
 sciences, and includes new measures from interdisciplinary research.

Package: r-cran-diversificationr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-diversificationr_0.1.0-1.ca2004.1_all.deb
Size: 39952
MD5sum: dbdc4bff7bfa6eeab019532d09338198
SHA1: eee61fbe3df9f30fb325a060c4a0c540e0f08148
SHA256: f7618bd28ff6f7e1c77257b37670e2032437c1d3f88974d8bcabb3480c5b8dfc
SHA512: 3690f8fac2ab792d99444944ad8a9e911d4889e2580c792de292da95c07cb361d1ece02751e98524d4cf93b61b677144e3f7041a39e3967abf2e1cd0ef2a50ae
Homepage: https://cran.r-project.org/package=DiversificationR
Description: CRAN Package 'DiversificationR' (Econometric Tools to Measure Portfolio Diversification)
 Diversification is one of the most important concepts in portfolio
 management. This framework offers scholars, practitioners and policymakers a
 useful toolbox to measure diversification. Specifically, this framework
 provides recent diversification measures from the recent literature. These
 diversification measures are based on the works of Rudin and Morgan (2006)
 <doi:10.3905/jpm.2006.611807>, Choueifaty and Coignard (2008)
 <doi:10.3905/JPM.2008.35.1.40>, Vermorken et al. (2012)
 <doi:10.3905/jpm.2012.39.1.067>, Flores et al. (2017)
 <doi:10.3905/jpm.2017.43.4.112>, Calvet et al. (2007) <doi:10.1086/524204>,
 and Candelon, Fuerst and Hasse (2020).

Package: r-cran-diversityoccupancy
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mumin, r-cran-unmarked, r-cran-dplyr, r-cran-ggplot2, r-cran-glmulti, r-cran-qpcr, r-cran-raster, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rgdal, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-diversityoccupancy_1.0.6-1.ca2004.1_all.deb
Size: 579992
MD5sum: 478511510577c1e6374ba4fbe9119913
SHA1: 6122e54110c88442466fb47075714e0a5c6fbbd4
SHA256: a5b679c646e51e4763d87d8722cf3dec02f4e2d5beb1928eda6ae8130670a00e
SHA512: b26c5aebc8365459c617de134f38d27fb9c5a12da5d3f5c77e92117d0b51bd9eaffd969b8c668dd82c92064afdc8a9e0e2b25a40d225c309c80a7b427713f64f
Homepage: https://cran.r-project.org/package=DiversityOccupancy
Description: CRAN Package 'DiversityOccupancy' (Building Diversity Models from Multiple Species Occupancy Models)
 Predictions of alpha diversity are fitted from presence data, first
 abundance is modeled from occupancy models and then, several diversity
 indices are calculated and finally GLM models are used to predict diversity
 in different environments and select priority areas.

Package: r-cran-divinsight
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8752
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vegan, r-cran-geosphere, r-cran-dplyr, r-cran-leaflet, r-cran-ggplot2, r-cran-rgbif
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-divinsight_0.1.0-1.ca2004.1_all.deb
Size: 5921008
MD5sum: 4416d0c02aa8d691ea138cbf3e8b5e7f
SHA1: 8eb6d825118a3f696e9c526f9484d09e77f419a4
SHA256: 35b2b19e14bebf1f1e0eaaecd177b2223891b62e52632d917ead0be8e7fb5ae8
SHA512: b6e07fc4c4e5f75d3ece219749a16ca3842d1599760f433211399aa74c06a3eabba0b8064ab1ff491a290e046fbec16e260cb4f6bf221929e1dfa2fdfff6057d
Homepage: https://cran.r-project.org/package=DivInsight
Description: CRAN Package 'DivInsight' (Diversity Index Calculation & Visualisation for Taxa andLocation)
 Repurpose occurrence data for calculating diversity index values, creating
 visuals, and generating species composition matrices for a chosen taxon and
 location.

Package: r-cran-divraster
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bat, r-cran-sesraster, r-cran-terra
Suggests: r-cran-ape, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-divraster_1.2.1-1.ca2004.1_all.deb
Size: 180564
MD5sum: 4617633fd102e26846916d8a3f38e616
SHA1: 6e182959cfac417687951137b6af9a6fdb6bdbc2
SHA256: 66c89e562aed92f51bdef07cad0a01e7e9d2e06449526c4bc0f2aa48228d47da
SHA512: 91beb349d059ce576d01010cb696347d1edc607e05c94e1a84b07c05f02fa14d501dad82f2d0e2b933fe40eacd01e891a0443bac54dec809229bd46b72482bfe
Homepage: https://cran.r-project.org/package=divraster
Description: CRAN Package 'divraster' (Diversity Metrics Calculations for Rasterized Data)
 Alpha and beta diversity for taxonomic (TD), functional (FD), and
 phylogenetic (PD) dimensions based on rasters. Spatial and temporal beta
 diversity can be partitioned into replacement and richness difference
 components. It also calculates standardized effect size for FD and PD alpha
 diversity and the average individual traits across multilayer rasters. The
 layers of the raster represent species, while the cells represent
 communities. Methods details can be found at Cardoso et al. 2022
 <https://CRAN.R-project.org/package=BAT> and Heming et al. 2023
 <https://CRAN.R-project.org/package=SESraster>.

Package: r-cran-divseg
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-rlang, r-cran-dplyr, r-cran-magrittr, r-cran-tidyselect, r-cran-tibble, r-cran-units
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-divseg_0.0.5-1.ca2004.1_all.deb
Size: 305772
MD5sum: 43e173761d88df179f7d867399f609b3
SHA1: a688801bab8c0e350a226c9056ee5a7f98e6fc05
SHA256: a1152321592023f28f1878703e4fff1f29e97cd87cfc21b9cdb66169cbf7b3dc
SHA512: e14f4825fd30a5307fc19d7a215edd311fce335fd5594a3666e0d2b2862b43b09598d301be288656f6027f1b8218eab1623ddfa93438dffb8e438679a3d7138d
Homepage: https://cran.r-project.org/package=divseg
Description: CRAN Package 'divseg' (Calculate Diversity and Segregation Indices)
 Implements common measures of diversity and spatial segregation. This
 package has tools to compute the majority of measures are reviewed in Massey
 and Denton (1988) <doi:10.2307/2579183>. Multiple common measures of
 within-geography diversity are implemented as well. All functions operate on
 data frames with a 'tidyselect' based workflow.

Package: r-cran-divvy
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-inext, r-cran-rdpack, r-cran-sf, r-cran-terra, r-cran-units, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-divvy_1.0.1-1.ca2004.1_all.deb
Size: 1024624
MD5sum: dfee0f8502bd18825e9fa10f20f7bfa6
SHA1: fbd4e9547fb7a748ff731e4bf84e7fbf8329daa4
SHA256: b1f274eb26cbf0ced7786bda7c63d4416881ccfd1a2facba1c77c86d10dd9d51
SHA512: e82eaca6620077dc785add24591fd80587b0eb038b2f27615ce1e45c5708ee0807c8079a64375d2f7f100456e960856f11e54a96ad32a04ad9769386b063e45f
Homepage: https://cran.r-project.org/package=divvy
Description: CRAN Package 'divvy' (Spatial Subsampling of Biodiversity Occurrence Data)
 Divide taxonomic occurrence data into geographic regions of fair comparison,
 with three customisable methods to standardise area and extent.  Calculate
 common biodiversity and range-size metrics on subsampled data.  Background
 theory and practical considerations for the methods are described in Antell
 and others (2024) <doi:10.1017/pab.2023.36>.

Package: r-cran-diyar
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1783
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-diyar_0.5.1-1.ca2004.1_all.deb
Size: 1376288
MD5sum: 5754fb1e06b1809a1787267b88cba552
SHA1: 0b9da2bd7b42ed9bb40317ff613da585d0f05dd2
SHA256: 028afd562acd60c326947b89c91a58bb1679cdc36e1e0b03ea2fa8bfc4c75fc5
SHA512: f0a86634c4c7477f1b8b463ea829dc42ca0b2a0e86cf58efe01b5382bb2a6e0a41e77d77f3e16929984313522b1e7119070633c9672710bf01da40f563a27769
Homepage: https://cran.r-project.org/package=diyar
Description: CRAN Package 'diyar' (Record Linkage and Epidemiological Case Definitions in 'R')
 An R package for iterative and batched record linkage, and applying
 epidemiological case definitions.  'diyar' can be used for deterministic and
 probabilistic record linkage, or multistage record linkage combining both
 approaches.  It features the implementation of nested match criteria, and
 mechanisms to address missing data and conflicting matches during stepwise
 record linkage.  Case definitions are implemented by assigning records to
 groups based on match criteria such as person or place, and overlapping time
 or duration of events e.g. sample collection dates or periods of hospital
 stays.  Matching records are assigned a unique group ID. Index and duplicate
 records are removed or further analyses as required.

Package: r-cran-diztools
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clear, r-cran-config, r-cran-data.table, r-cran-logger, r-cran-magrittr, r-cran-parsedate, r-cran-r.utils
Suggests: r-cran-lintr, r-cran-shiny, r-cran-shinyjs, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-diztools_1.0.2-1.ca2004.1_all.deb
Size: 135284
MD5sum: 36655013ba08722c8f4f0162b4c068e2
SHA1: 1cd86e43adca8233bc709bd41d13780834449b33
SHA256: b527e8dfc31f8e6f3c9d9f4a8293de7b51e46744c0c4b99c9621838849961515
SHA512: 71442d82c80aa22951655bc1ad597f91f19b64cd8bd9b06a3404d3439593eba963985928fb3934efcbb1730caec8d8d5835997ca2bea4639c6e3e59374b22114
Homepage: https://cran.r-project.org/package=DIZtools
Description: CRAN Package 'DIZtools' (Lightweight Utilities for 'DIZ' R Package Development)
 Lightweight utility functions used for the R package development
 infrastructure inside the data integration centers ('DIZ') to standardize
 and facilitate repetitive tasks such as setting up a database connection or
 issuing notification messages and to avoid redundancy.

Package: r-cran-dizutils
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-diztools, r-cran-hmisc, r-cran-httr, r-cran-psych, r-cran-rjdbc, r-cran-rjsonio, r-cran-rpostgres, r-cran-rpresto, r-cran-xml2
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dizutils_0.1.3-1.ca2004.1_all.deb
Size: 45744
MD5sum: 670b2b20608d5cd99f02d60fc9353b02
SHA1: b819ec31d1b0367d8bf45733deec984056624ef7
SHA256: 368b5ca9426896230571b99c30e996c3bc150fc143928e6a2808a0d2d4c1840d
SHA512: 2612a972e62a163b52a79128b93aa53f57b05568595e5ec731def9aa9c803d38496102df562e79944caac974821b03459a904035fec7407c2913a84fa345f7bd
Homepage: https://cran.r-project.org/package=DIZutils
Description: CRAN Package 'DIZutils' (Utilities for 'DIZ' R Package Development)
 Utility functions used for the R package development infrastructure inside
 the data integration centers ('DIZ') to standardize and facilitate
 repetitive tasks such as setting up a database connection or issuing
 notification messages and to avoid redundancy.

Package: r-cran-djl
Architecture: all
Version: 3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-djl_3.9-1.ca2004.1_all.deb
Size: 325060
MD5sum: 85e2b4b62b4edf8bfcd731e216832192
SHA1: 372a7b96d10eb4fa20a96084c30041ab34ee9e74
SHA256: 78a5af58c407ed6f2966cc1e6787467643aacaa374c17cdb4fe83b5bb9334b29
SHA512: 2be5e73bf22f2616257a8b1291f585c58b5c69abcc7e59b9ace846d222d381b99958a06c1a5d954f7f765cab07eea8cd2aec952535b9af699ef0343a69aa6739
Homepage: https://cran.r-project.org/package=DJL
Description: CRAN Package 'DJL' (Distance Measure Based Judgment and Learning)
 Implements various decision support tools related to the Econometrics &
 Technometrics.  Subroutines include correlation reliability test,
 Mahalanobis distance measure for outlier detection, combinatorial search
 (all possible subset regression), non-parametric efficiency analysis
 measures: DDF (directional distance function), DEA (data envelopment
 analysis), HDF (hyperbolic distance function), SBM (slack-based measure),
 and SF (shortage function), benchmarking, Malmquist productivity analysis,
 risk analysis, technology adoption model, new product target setting,
 network DEA, dynamic DEA, intertemporal budgeting, etc.

Package: r-cran-dkanr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-httptest
Filename: pool/dists/focal/main/r-cran-dkanr_0.1.3-1.ca2004.1_all.deb
Size: 80504
MD5sum: 1b3a658f0e060df1da259d68ca067503
SHA1: e2e4b14e5308021840c5aa5eec91da7981a4bb50
SHA256: d4228fd697776f45ee533a955eb34aa123446a89a842ce75689d8317828acd22
SHA512: 831dc666515c3cb66675b692f122811a65e6b128ea7a851dd6f4d70b82a8dd4c443d22f68fc565d5cdd4c54dacb590ea97f1552100b97852271d5dda381827b1
Homepage: https://cran.r-project.org/package=dkanr
Description: CRAN Package 'dkanr' (Client for the 'DKAN' API)
 Provides functions to facilitate access to the 'DKAN' API
 (<https://dkan.readthedocs.io/en/latest/apis/index.html>), including the
 'DKAN' REST API (metadata), and the 'DKAN' datastore API (data). Includes
 functions to list, create, retrieve, update, and delete datasets and
 resources nodes. It also includes functions to search and retrieve data from
 the 'DKAN' datastore.

Package: r-cran-dlagm
Architecture: all
Version: 1.1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nardl, r-cran-dynlm, r-cran-aer, r-cran-formula.tools, r-cran-lmtest, r-cran-strucchange, r-cran-wavethresh, r-cran-mass, r-cran-roll, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-dlagm_1.1.13-1.ca2004.1_all.deb
Size: 263996
MD5sum: 7669d5b631d88508e0101bbdd625a1c5
SHA1: b0b6b5296f3d877ed220c05ca449423704920975
SHA256: 9e5dc6f7e6ecc1b0acd99c7621209f79b2ffe86acbd3e8128d25f2e4f3abfec4
SHA512: 70c0b52cbc96559a82ca923cf8f619291c74ce5ff49450bbe9987f092664642a369b2818832e9d10ed5d0c6384cee4fb787454b01a7d2e3cab03bbf9cb8992cf
Homepage: https://cran.r-project.org/package=dLagM
Description: CRAN Package 'dLagM' (Time Series Regression Models with Distributed Lag Models)
 Provides time series regression models with one predictor using finite
 distributed lag models, polynomial (Almon) distributed lag models, geometric
 distributed lag models with Koyck transformation, and autoregressive
 distributed lag models. It also consists of functions for computation of
 h-step ahead forecasts from these models. See Demirhan
 (2020)(<doi:10.1371/journal.pone.0228812>) and Baltagi
 (2011)(<doi:10.1007/978-3-642-20059-5>) for more information.

Package: r-cran-dlasso
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dlasso_2.0.2-1.ca2004.1_all.deb
Size: 36360
MD5sum: 40c4c16a10736a3ba226fa4cd646940a
SHA1: 2205412082351f65095e9336b67009cd6e389648
SHA256: 1d18b4a20f264c9b9e6d6f1172f4c8a54fac863d0edc793fcd6435ed1f44db7e
SHA512: c8cad6237209b733ad1302a26e3a4b91f8dadebea6807807817de9d16ce1539c01a80e2ca77c41f4b3cd0396cee78bed340d3b98bf4c214eafba91e07b70370a
Homepage: https://cran.r-project.org/package=DLASSO
Description: CRAN Package 'DLASSO' (Implementation of Adaptive or Non-Adaptive Differentiable Lassoand SCAD Penalties in Linear Models)
 An implementation of the differentiable lasso (dlasso) and SCAD (dSCAD)
 using iterative ridge algorithm. This package allows selecting the tuning
 parameter by AIC, BIC, GIC and GIC.

Package: r-cran-dlbayes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gigrvg, r-cran-expm, r-cran-glmnet, r-cran-mass, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-dlbayes_0.1.0-1.ca2004.1_all.deb
Size: 27660
MD5sum: a0a59257e29f3da3cb74e759dd24926f
SHA1: e738cfaddeab836648cfb3ac56e250a994b7e938
SHA256: 78c1a3519542cdbf9e38c062e7b87790cb33ed35c55daa7a6904410e825d75c0
SHA512: d6c7a4859596c3fbda84c99acd1da1a477f6d889b24b77985cff8f749bdcb20419e29701323a6e2c62d46d2a47a97045d5685d64c169eefade096d3664afbc1a
Homepage: https://cran.r-project.org/package=dlbayes
Description: CRAN Package 'dlbayes' (Use Dirichlet Laplace Prior to Solve Linear Regression Problemand Do Variable Selection)
 The Dirichlet Laplace shrinkage prior in Bayesian linear regression and
 variable selection, featuring: utility functions in implementing
 Dirichlet-Laplace priors such as visualization; scalability in Bayesian
 linear regression; penalized credible regions for variable selection.

Package: r-cran-dlegfm
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-elasticnet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dlegfm_0.4.0-1.ca2004.1_all.deb
Size: 109424
MD5sum: 7fcff31d59d1dbb94fb349b193dd1bd1
SHA1: 83fd7ba38b22c209330fb45d05b7a2e2fc5d407e
SHA256: e81c9144bdd0e9d7665cfc115cb77295b6fba01c7729456004ce48e650cf337d
SHA512: c1055122c2b3dddd391f2ff39939dd4a32075af81893f35622e6d7769f7b9c12ebf46055844a16184cff58750560df470a5dead7313b35b8b69e8f3374127afd
Homepage: https://cran.r-project.org/package=DLEGFM
Description: CRAN Package 'DLEGFM' (Distributed Loading Estimation for General Factor Model)
 The load estimation method is based on a general factor model to solve the
 estimates of load and specific variance. The philosophy of the package is
 described in Guangbao Guo. (2022). <doi:10.1007/s00180-022-01270-z>.

Package: r-cran-dlim
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dlnm, r-cran-ggplot2, r-cran-lifecycle, r-cran-mgcv, r-cran-reshape2, r-cran-rlang, r-cran-tsmodel, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dlim_0.2.1-1.ca2004.1_all.deb
Size: 330696
MD5sum: 65c0b27af0e613b039c041373035366e
SHA1: d52b25e63d70853463a811adf018be711b07378a
SHA256: 7be67bff488a82f821a951129d1679100560dcf1277d11632a0ce9c9fa714a30
SHA512: f61dbb8fbc2c2019554c533e448bc17669c55031294bf7c3fe894f919e1143db236d2f57f51629f52597b1904bd660e061103d99c950fa967bb74c20bf625d7e
Homepage: https://cran.r-project.org/package=dlim
Description: CRAN Package 'dlim' (Distributed Lag Interaction Model)
 Collection of functions for fitting and interpreting distributed lag
 interaction models (DLIM). A DLIM regresses a scalar outcome on repeated
 measures of exposure and allows for modification by a continuous variable.
 Includes a dlim() function for fitting, predict() function for inference,
 and plotting functions for visualization. Details on methodology are
 described in Demateis et al. (2024) <doi:10.1002/env.2843>.

Package: r-cran-dll
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-sam, r-cran-locpol
Filename: pool/dists/focal/main/r-cran-dll_1.0.0-1.ca2004.1_all.deb
Size: 29800
MD5sum: 003c0795ccd65eaef609d150ed7c9e3b
SHA1: 4219c7ad5b665db81bc64a342fd99e8e1a5b1feb
SHA256: 2a90494bdb72a43b8138f9c44c60672663d0a7fe8f8398a7395765a4aad1a3fb
SHA512: 9f672e875f2105ed740a31aaf2dda5fd081d07bf345f287a9f3ee917a82a3adcb0aa9ddb55c56104839de11cd6152c20135877eddd051ccfacad32c2ac6ff2e4
Homepage: https://cran.r-project.org/package=DLL
Description: CRAN Package 'DLL' (Decorrelated Local Linear Estimator)
 Implementation of the Decorrelated Local Linear estimator proposed in
 <arxiv:1907.12732>. It constructs the confidence interval for the derivative
 of the function of interest under the high-dimensional sparse additive
 model.

Package: r-cran-dlmrmv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dlmrmv_0.2.0-1.ca2004.1_all.deb
Size: 69148
MD5sum: 92725514b2c9ca68013367fc097d24c0
SHA1: 31f23604b11789b036244fa40b01a7baa2b22bc5
SHA256: db1913bc2ba6b12aaf50662fdd9f649e60cc7a425ed424eeeb8fe7d117ca2c98
SHA512: 9da4d62bc9c128975990afdc868407c2c20c0f1856c1e1af137b3a15a2c3af6708211a585b332caf71d3eba9965a2267c67f9733377e16cacdb365e5cd4e4fb2
Homepage: https://cran.r-project.org/package=DLMRMV
Description: CRAN Package 'DLMRMV' (Distributed Linear Regression Models with Response MissingVariables)
 As a distributed imputation strategy, the Distributed full information
 Multiple Imputation method is developed to impute missing response variables
 in distributed linear regression.  The philosophy of the package is
 described in 'Guo' (2025) <doi:10.1038/s41598-025-93333-6>.

Package: r-cran-dlmwwbe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dlm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dlmwwbe_0.1.0-1.ca2004.1_all.deb
Size: 199192
MD5sum: af3fa9b8233b1af4194b1d3466f16206
SHA1: 24afb591bb0cdd07deceef62e058e3ec6f3d7e4f
SHA256: 6b653d0481d8d0f37865d4e406e1d09e6a2bfa4753f40cf4d91a520c2b07be03
SHA512: d53e3fc03910e21312035ad5b5473ffddbcb33ae4ebecd12d3f407c397a93f75c3ce3efc304219d8de6f33fffbea4a2e72bffae64c228751b5cdc23686b2af12
Homepage: https://cran.r-project.org/package=dlmwwbe
Description: CRAN Package 'dlmwwbe' (Dynamic Linear Model for Wastewater-Based Epidemiology)
 Implement dynamic linear models outlined in Shumway and Stoffer (2025)
 <doi:10.1007/978-3-031-70584-7>. Two model structures for data smoothing and
 forecasting are considered. The specific models proposed will be added once
 the manuscript is published.

Package: r-cran-dlnm
Architecture: all
Version: 2.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1544
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-mgcv, r-cran-tsmodel
Suggests: r-cran-survival, r-cran-lme4, r-cran-gee, r-cran-geepack, r-cran-mixmeta
Filename: pool/dists/focal/main/r-cran-dlnm_2.4.10-1.ca2004.1_all.deb
Size: 897492
MD5sum: 5954c3c28db6d908f5a6870880d936c4
SHA1: 9779ddb8be2183c6afe905cec6fed25c7b748d34
SHA256: 26ec4c40b78a3946a37c4d2fb6a2777cd23a3d43b37475877aea80178e553a82
SHA512: 3e5574921fc4cdfec19ba6c9e1e486f232b6544e026cdb5814aad225036530037befdfd33a2a6809ad26a9ede82155f02bd188a65dc8fe2de12d96814fe24a9c
Homepage: https://cran.r-project.org/package=dlnm
Description: CRAN Package 'dlnm' (Distributed Lag Non-Linear Models)
 Collection of functions for distributed lag linear and non-linear models.

Package: r-cran-dlookr
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4788
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-showtext, r-cran-sysfonts, r-cran-ggplot2, r-cran-gridextra, r-cran-hrbrthemes, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-mice, r-cran-pagedown, r-cran-purrr, r-cran-reactable, r-cran-rlang, r-cran-rmarkdown, r-cran-rpart, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-dbi, r-cran-classint, r-cran-dbplyr, r-cran-forecast, r-cran-hmisc, r-cran-partykit, r-cran-ppsr, r-cran-prettydoc, r-cran-randomforest, r-cran-rsqlite, r-cran-ranger, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-dlookr_0.6.3-1.ca2004.1_all.deb
Size: 2984008
MD5sum: 7bf2b088ddade25d08336d2e4db472b8
SHA1: 439c62617f86c4dc043ac04a3da53c90c96ceb97
SHA256: a5d340875b49b8a29c3d20eae8f2d56324ac95ec649e9c2373c57c8befac921c
SHA512: 2494daafb063c18b14c3648902e4e3641bc08adca2e86c79e07c833d6d8dfb7f067f806497f6eaf7dcfcd42bc78339657e1537f90a673c9e6751e8f3000a0a86
Homepage: https://cran.r-project.org/package=dlookr
Description: CRAN Package 'dlookr' (Tools for Data Diagnosis, Exploration, Transformation)
 A collection of tools that support data diagnosis, exploration, and
 transformation.  Data diagnostics provides information and visualization of
 missing values, outliers, and unique and negative values to help you
 understand the distribution and quality of your data.  Data exploration
 provides information and visualization of the descriptive statistics of
 univariate variables, normality tests and outliers, correlation of two
 variables, and the relationship between the target variable and predictor.
 Data transformation supports binning for categorizing continuous variables,
 imputes missing values and outliers, and resolves skewness.  And it creates
 automated reports that support these three tasks.

Package: r-cran-dlpca
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 829
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dlpca_0.0.5-1.ca2004.1_all.deb
Size: 813240
MD5sum: cb18568cfd9ff8ad37e14e38b5c8e1bb
SHA1: 969bc33254c2ae7b4e45a47086ca05b28d30635f
SHA256: 1ecf3994dc64c1e5cdec2f26e7276f0e17a8db5d3faa8b9cd2e57cd5bd9db30d
SHA512: 9c1eff06ddafb1231ba687d7849904f065dbfe8eeed6c47480e53c4e2da45ed79200d17b2902d5f33f8bb6f1755c4961138fb0741246436bee7e68855c203f1a
Homepage: https://cran.r-project.org/package=DLPCA
Description: CRAN Package 'DLPCA' (The Distributed Local PCA Algorithm)
 Algorithm to handle with optimal subset selection for distributed local
 principal component analysis. The philosophy of the package is described in
 Guo G. (2020) <doi:10.1080/02331888.2020.1823979>.

Package: r-cran-dlr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-fs, r-cran-rappdirs, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dlr_1.0.1-1.ca2004.1_all.deb
Size: 55328
MD5sum: c7ea73a489d3ae80d97ccc7e347a5fe2
SHA1: d76b05204bd073a8cc823261ab1693bdf158c5a7
SHA256: 1f426606c4ee8126da3468834b424a4d3f35fa918a73b9a8deb41cebc5fe9b44
SHA512: b0afbfbbb257b9ab1dd423b5efa1020e9e13a6d24e941fb9dd8228adf3d42421953bd4d7ef47a31f600a52bb92af05365fe40547b8a918b66de02dbe638904d5
Homepage: https://cran.r-project.org/package=dlr
Description: CRAN Package 'dlr' (Download and Cache Files Safely)
 The goal of dlr is to provide a friendly wrapper around the common pattern
 of downloading a file if that file does not already exist locally.

Package: r-cran-dlsem
Architecture: all
Version: 2.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-dlsem_2.4.6-1.ca2004.1_all.deb
Size: 546436
MD5sum: a7aed0456c9548a34e2f38f740490529
SHA1: b72a2639039c122ca79d148d41080b2d70b6915c
SHA256: 9539624a701b063609e776c5e667f247effda8389744d4a2e73387a6544f3e4b
SHA512: d246da4abfddf31d285499ef938a08830aa1642da85edad0c01178bc81a9af7d46181338356463667e0971b34d4a2858e97654dae99538f11d8a419075011683
Homepage: https://cran.r-project.org/package=dlsem
Description: CRAN Package 'dlsem' (Distributed-Lag Linear Structural Equation Models)
 Inference functionalities for distributed-lag linear structural equation
 models (DLSEMs). DLSEMs are Markovian structural causal models where each
 factor of the joint probability distribution is a distributed-lag linear
 regression with constrained lag shapes (Magrini, 2018
 <doi:10.2478/bile-2018-0012>; Magrini et al., 2019
 <doi:10.1007/s11135-019-00855-z>). DLSEMs account for temporal delays in the
 dependence relationships among the variables through a single parameter per
 covariate, thus allowing to perform dynamic causal inference in a feasible
 fashion. Endpoint-constrained quadratic, quadratic decreasing, linearly
 decreasing and gamma lag shapes are available.

Package: r-cran-dlssm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dlssm_1.1.1-1.ca2004.1_all.deb
Size: 249456
MD5sum: c9fd3f8c593938ff43e2705633d4aef9
SHA1: 52a9f24606d96240d092044e09071c57d09bc8af
SHA256: 8d3dbf4f158b94e6af02ac89b159f093fb75a187f83a5729a6c458e174ae119c
SHA512: 54f9c4dc2b627cde79412d19996184eb5b201fe7dd8a7f49c6f994f2715431b033bb2d57ad8bbc8737c049879d24543ef0498cbb2674b5dd7e4f11f2686a27d6
Homepage: https://cran.r-project.org/package=DLSSM
Description: CRAN Package 'DLSSM' (Dynamic Logistic State Space Prediction Model)
 Implements the dynamic logistic state space model for binary outcome data
 proposed by Jiang et al. (2021) <doi:10.1111/biom.13593>.  It provides a
 computationally efficient way to update the prediction whenever new data
 becomes available.  It allows for both time-varying and time-invariant
 coefficients, and use cubic smoothing splines to model varying coefficients.
 The smoothing parameters are objectively chosen by maximum likelihood. The
 model is updated using batch data accumulated at pre-specified time
 intervals.

Package: r-cran-dlstats
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-jsonlite, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-scales
Suggests: r-cran-knitr, r-cran-tidyr, r-cran-dt, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-dlstats_0.1.7-1.ca2004.1_all.deb
Size: 358840
MD5sum: e3bd4d84a90aec47b07db6a8ae1e84e1
SHA1: 75bfa0a02211c6c085df61a6085bfd6107ab5337
SHA256: d70c70073c3782756b0323bd32e494cd9613db7bf281deed0725718530eb68d2
SHA512: 1e4163f0e1256fc040391743383529eb380115b51ec10c16ac9fa61667bc43f004255e34a33abb369747403e7e89174aa8dad4d5ff72a83024054d4349135a2c
Homepage: https://cran.r-project.org/package=dlstats
Description: CRAN Package 'dlstats' (Download Stats of R Packages)
 Monthly download stats of 'CRAN' and 'Bioconductor' packages.  Download
 stats of 'CRAN' packages is from the 'RStudio' 'CRAN mirror', see
 <https://cranlogs.r-pkg.org:443>.  'Bioconductor' package download stats is
 at <https://bioconductor.org/packages/stats/>.

Package: r-cran-dm
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-igraph, r-cran-lifecycle, r-cran-memoise, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-brio, r-cran-colourpicker, r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-digest, r-cran-duckdb, r-cran-fansi, r-cran-forcats, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-keyring, r-cran-knitr, r-cran-labelled, r-cran-magrittr, r-cran-nycflights13, r-cran-odbc, r-cran-pillar, r-cran-pixarfilms, r-cran-pool, r-cran-progress, r-cran-reactable, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsqlite, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyace, r-cran-shinydashboard, r-cran-testthat, r-cran-waldo, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dm_1.0.11-1.ca2004.1_all.deb
Size: 1290720
MD5sum: e4a5905f86fe06e74a758fc804efd7e2
SHA1: d36a9bc12e2d3b1975a6f3c6f1061babeb40ae84
SHA256: d3088d46479ce6b813ca2e1ee759db8a30d3961e66040336b27b8068f22170bc
SHA512: 7f354eb81dcd537d6b381e03e2a071f17bfbcb8cf52211fcdeae41c855df62a2f5e7c7152916df9e0d5f77f53983fc8b1ba705f6188dd86da02aa18638bea529
Homepage: https://cran.r-project.org/package=dm
Description: CRAN Package 'dm' (Relational Data Models)
 Provides tools for working with multiple related tables, stored as data
 frames or in a relational database.  Multiple tables (data and metadata) are
 stored in a compound object, which can then be manipulated with a
 pipe-friendly syntax.

Package: r-cran-dma
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dma_1.4-0-1.ca2004.1_all.deb
Size: 56748
MD5sum: 87ccc117baf20ee613bb1f2576f2f369
SHA1: 35c9e4b78712d55ab4c66802d995c4ace203d77b
SHA256: caa93647a6731ec4f9b3c0766a6083ad427037d1233fccdfa3492e72dee6d687
SHA512: a0a28fa681f2c7333912c3cd0be5b8d50430ed94132f7acc8f387425fbb246ad5ceb8a980d4e034b0de85855c405a0cfb784f3b470faef737337c21ab3a4de42
Homepage: https://cran.r-project.org/package=dma
Description: CRAN Package 'dma' (Dynamic Model Averaging)
 Dynamic model averaging for binary and continuous outcomes.

Package: r-cran-dmai
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dmai_0.5.0-1.ca2004.1_all.deb
Size: 21016
MD5sum: 74fd4f7f47d6865f255611e90b86862b
SHA1: 76d7d8fa9f9cd2cb7af00f258e0429263fc467aa
SHA256: 9496f75211ac17d2e6b7bf5938118435b17478d73cb2f50a8ab8bca539524112
SHA512: dd503ffd36b04e2af08ffabbe2bc10cb649eae946b1da966a12e84b5338cccbf6442e438c5d7c56f1495decac3b2a318b8ced92454c7b4a7e299fb6aadf25b88
Homepage: https://cran.r-project.org/package=dmai
Description: CRAN Package 'dmai' (Divisia Monetary Aggregates Index)
 Functions to calculate Divisia monetary aggregates index as given in
 Barnett, W. A. (1980) (<DOI:10.1016/0304-4076(80)90070-6>).

Package: r-cran-dmdscheme
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1987
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-readxl, r-cran-xml2, r-cran-rlang, r-cran-rmarkdown, r-cran-knitr, r-cran-digest, r-cran-writexl, r-cran-rappdirs, r-cran-yaml, r-cran-stringr
Suggests: r-cran-covr, r-cran-testthat, r-cran-here, r-cran-shiny, r-cran-openxlsx, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-dmdscheme_1.3.5-1.ca2004.1_all.deb
Size: 928576
MD5sum: 0c8f1bec587e9e38ea9747ee324265cf
SHA1: 63e82a237e72747b56084fad66f8c9dac23c4594
SHA256: 7ac86073d8347e2de0740e3c9b93d943057a0d636db637826a298a2b35901a84
SHA512: a764ae30b51ee808f65a46b50ef8a267dce0429a68e3e281f469a0910ee9aee7b6d299fe7c06517896bb9fab3d5ce0113bd40a175d7d7493260e5baa8f470f58
Homepage: https://cran.r-project.org/package=dmdScheme
Description: CRAN Package 'dmdScheme' (Domain Specific MetaData Scheme)
 Forms the core for developing own domain specific metadata schemes.  It
 contains the basic functionality needed for all metadata schemes based on
 the 'dmdScheme'. See R.M. Krug and O.L. Petchey (2019)
 <DOI:10.5281/zenodo.3581970>.

Package: r-cran-dmetatools
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-mada
Filename: pool/dists/focal/main/r-cran-dmetatools_1.1.1-1.ca2004.1_all.deb
Size: 41924
MD5sum: 96c2371960991c410fcd927663a8b4f6
SHA1: b6e1dd95493491926d9a4ce49d20c18d3a3dfad4
SHA256: 899372677586f3e8893d32020246f2363fdfa9458bacc23f39aa6e139a9b5702
SHA512: ecd08f7952fba84ceeece2965eb5e479325a0bc473210886bf389e233408f646374379d311c2a1118c801bafaf8f41eded18f7c9b845fd2665c92572b512f9eb
Homepage: https://cran.r-project.org/package=dmetatools
Description: CRAN Package 'dmetatools' (Computational Tools for Meta-Analysis of Diagnostic AccuracyTest)
 Computational tools for meta-analysis of diagnostic accuracy test.
 Bootstrap-based computational methods of the confidence interval for AUC of
 summary ROC curve and some related AUC-based inference methods are available
 (Noma et al. (2021) <doi:10.1080/23737484.2021.1894408>).

Package: r-cran-dml
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lfda
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dml_1.1.0-1.ca2004.1_all.deb
Size: 45196
MD5sum: 8faaebca217d97ba4fc4a7c58427e7d8
SHA1: fe7b69a296b96f14daa25fecefabccb46609c152
SHA256: 43050153be7f04b1aa2ff316b8884610f046fc6b6e6755957435e26c1d3f9191
SHA512: b2cbbd80b70ce96243ba42d22ec4b3e4e61c9a43fe78b936e5c5c2f675d15cf22cfe3947b212df9c4c45a1506e529999907a7ad499dbfe25115b84c833d5e980
Homepage: https://cran.r-project.org/package=dml
Description: CRAN Package 'dml' (Distance Metric Learning in R)
 The state-of-the-art algorithms for distance metric learning, including
 global and local methods such as Relevant Component Analysis, Discriminative
 Component Analysis, Local Fisher Discriminant Analysis, etc. These distance
 metric learning methods are widely applied in feature extraction,
 dimensionality reduction, clustering, classification, information retrieval,
 and computer vision problems.

Package: r-cran-dmlalg
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-lme4, r-cran-matrixcalc, r-cran-randomforest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dmlalg_1.0.2-1.ca2004.1_all.deb
Size: 233324
MD5sum: 8366abbb7d2ebc056e5a1362a5613b99
SHA1: 8013e4eadcbd88b0071d080cebce4a592477e447
SHA256: 6410dc07f46f03b6b76a54e513224c413deb0e4c2d05dce15da7ab396cc2e9a3
SHA512: 75dd119dca7f0debdaa1b2012af4b37a54b7a752aebd861e6e0f9621d9eb62494c74191fcadbabdd216bca5ae3a0651be49e9066149439ef7f42a0fdcc9151ae
Homepage: https://cran.r-project.org/package=dmlalg
Description: CRAN Package 'dmlalg' (Double Machine Learning Algorithms)
 Implementation of double machine learning (DML) algorithms in R, based on
 Emmenegger and Buehlmann (2021) "Regularizing Double Machine Learning in
 Partially Linear Endogenous Models" <arXiv:2101.12525> and Emmenegger and
 Buehlmann (2021) <arXiv:2108.13657> "Double Machine Learning for Partially
 Linear Mixed-Effects Models with Repeated Measurements".  First part: our
 goal is to perform inference for the linear parameter in partially linear
 models with confounding variables.  The standard DML estimator of the linear
 parameter has a two-stage least squares interpretation, which can lead to a
 large variance and overwide confidence intervals.  We apply regularization
 to reduce the variance of the estimator, which produces narrower confidence
 intervals that are approximately valid.  Nuisance terms can be flexibly
 estimated with machine learning algorithms.  Second part: our goal is to
 estimate and perform inference for the linear coefficient in a partially
 linear mixed-effects model with DML. Machine learning algorithms allows us
 to incorporate more complex interaction structures and high-dimensional
 variables.

Package: r-cran-dmllzu
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-sandwich, r-cran-randomforest, r-cran-caret, r-cran-islr
Filename: pool/dists/focal/main/r-cran-dmllzu_0.1.1-1.ca2004.1_all.deb
Size: 61600
MD5sum: 91a894936b626b48c9f16b11d7603cb3
SHA1: 1e9ef597bf82727fb55873266f431ca6203537f9
SHA256: a4175bd7cd25a9895e98e6642edb2bb4377dfdd4a06e7527353fe2b1a4c35a22
SHA512: 818d05b392917d07f90f6c7113cc28d2f04697c75cb40602c0fa05b5764e89bf72d16f0b89537aadc457012f5c55f2d1c7edf438a4a0bd5194c598fe3d413f80
Homepage: https://cran.r-project.org/package=DMLLZU
Description: CRAN Package 'DMLLZU' (Double Machine Learning)
 Yang(2020,<doi:10.1016/j.jeconom.2020.01.018>) come up with Double Machine
 Learning model ,it is based on this model, using four machine learning
 methods-- bagging, Boosting, random forest and neural network, and then
 based on the four models for two different combinations of the integrated
 model -- linear model combination and random forest .

Package: r-cran-dmm
Architecture: all
Version: 3.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1431
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-robustbase, r-cran-pls, r-cran-nadiv
Filename: pool/dists/focal/main/r-cran-dmm_3.1-1-1.ca2004.1_all.deb
Size: 1284800
MD5sum: 11a4d02c6c27408bc559465b865cd18f
SHA1: cd61413d9be97d2a7124d54bd8b55ff1e107eedb
SHA256: 1794048d85556eaf03ecf9e25a83e8302c3c0a4095bca831fc8dfdd7efb61a7c
SHA512: dbf8ab08be1f720626ade261dd221402dac64c256ecdcca5a5554b20a4781e792bbaf5200ac5792eaf68a672ec7759e99c99a49bbdb21c574db8cb4fe3faa6a4
Homepage: https://cran.r-project.org/package=dmm
Description: CRAN Package 'dmm' (Dyadic Mixed Model for Pedigree Data)
 Mixed model analysis for quantitative genetics with multi-trait responses
 and pedigree-based partitioning of individual variation into a range of
 environmental and genetic variance components for individual and maternal
 effects. Method documented in dmmOverview.pdf; dmm is an implementation of
 dispersion mean model described by Searle et al. (1992) "Variance
 Components", Wiley, NY.  'DMM' can do 'MINQUE', 'bias-corrected-ML', and
 'REML' variance component estimates.

Package: r-cran-dmod
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-code, r-cran-desolve, r-cran-rootsolve, r-cran-ggplot2, r-cran-stringr, r-cran-plyr, r-cran-dplyr, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-mass, r-cran-reticulate, r-cran-pander, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dmod_1.0.2-1.ca2004.1_all.deb
Size: 945672
MD5sum: 3d670cbd5be85756d254b1b2cf9b7709
SHA1: 8e91f61e06019637e57c7b7a978b7af6b2fb3624
SHA256: 06a441cf954d8f5094006ad409038be7c3b204f0c51ead543814ebc77c34c366
SHA512: b4fae087980033a91b49bcc3e93f2b41c72ed99d3d013158221afed7647fa88273f71c991dc55dd7b52b99bc4659a3690d5c3d7d88e61f7544d705646f80aec3
Homepage: https://cran.r-project.org/package=dMod
Description: CRAN Package 'dMod' (Dynamic Modeling and Parameter Estimation in ODE Models)
 The framework provides functions to generate ODEs of reaction networks,
 parameter transformations, observation functions, residual functions, etc.
 The framework follows the paradigm that derivative information should be
 used for optimization whenever possible. Therefore, all major functions
 produce and can handle expressions for symbolic derivatives. The methods
 used in dMod were published in Kaschek et al, 2019,
 <doi:10.18637/jss.v088.i10>.

Package: r-cran-dmrmark
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-mvtnorm, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-dmrmark_1.1.1-1.ca2004.1_all.deb
Size: 204932
MD5sum: ebd0d8be82bce370d949fae3091fa9f7
SHA1: 58438db0d2b9dab5a0b2d1d7edacd7bda1a2915f
SHA256: 87b03946186d0a1b194f5935c637319cae72fbfa6c0e8cfbbbdf560135df3fe6
SHA512: 4f63525427d0a864ca91d3f40a2ebfec9644e193b08257d56a55c1e6500e6eb42ad8bee8dbed457d1b8edf357e9c782a376e4968682bd5c92dff45075ad06543
Homepage: https://cran.r-project.org/package=DMRMark
Description: CRAN Package 'DMRMark' (DMR Detection by Non-Homogeneous Hidden Markov Model fromMethylation Array Data)
 Perform differential analysis for methylation array data. Detect
 differentially methylated regions (DMRs) from array M-values.  The core is a
 Non-homogeneous Hidden Markov Model for estimating spatial correlation and a
 novel Constrained Gaussian Mixture Model for modeling the M-value pairs of
 each individual locus.

Package: r-cran-dmrnet
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-hclust1d, r-cran-glmnet, r-cran-grpreg
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dmrnet_0.4.0-1.ca2004.1_all.deb
Size: 277052
MD5sum: a5f5a9cc446acfd07b6705915a58b2a2
SHA1: 4769e5786a57b468d152091c5a83d12879c26f9e
SHA256: de1fdb4bf0873450c5eb8f10263a7a0f419c1d77efaf6a82d45cd9ec3f93513a
SHA512: f591b30da65917d1e929d6d9b93609578a8713c710147a7aebbd01df83cfd8df239f830fb0ba5f78e816888aabe738ee0c2ec9edb0bdc6b9ae091671c6b182ad
Homepage: https://cran.r-project.org/package=DMRnet
Description: CRAN Package 'DMRnet' (Delete or Merge Regressors Algorithms for Linear and LogisticModel Selection and High-Dimensional Data)
 Model selection algorithms for regression and classification, where the
 predictors can be continuous or categorical and the number of regressors may
 exceed the number of observations. The selected model consists of a subset
 of numerical regressors and partitions of levels of factors. Szymon
 Nowakowski, Piotr Pokarowski, Wojciech Rejchel and Agnieszka Sołtys, 2023.
 Improving Group Lasso for High-Dimensional Categorical Data. In:
 Computational Science – ICCS 2023. Lecture Notes in Computer Science, vol
 14074, p. 455-470. Springer, Cham. <doi:10.1007/978-3-031-36021-3_47>.
 Aleksandra Maj-Kańska, Piotr Pokarowski and Agnieszka Prochenka, 2015.
 Delete or merge regressors for linear model selection. Electronic Journal of
 Statistics 9(2): 1749-1778. <doi:10.1214/15-EJS1050>. Piotr Pokarowski and
 Jan Mielniczuk, 2015. Combined l1 and greedy l0 penalized least squares for
 linear model selection. Journal of Machine Learning Research 16(29):
 961-992.
 <https://www.jmlr.org/papers/volume16/pokarowski15a/pokarowski15a.pdf>.
 Piotr Pokarowski, Wojciech Rejchel, Agnieszka Sołtys, Michał Frej and Jan
 Mielniczuk, 2022. Improving Lasso for model selection and prediction.
 Scandinavian Journal of Statistics, 49(2): 831–863.
 <doi:10.1111/sjos.12546>.

Package: r-cran-dmt
Architecture: all
Version: 0.8.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 672
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dmt_0.8.20-1.ca2004.1_all.deb
Size: 601392
MD5sum: d6851a5a379c3ba4acfcb6c50719ef88
SHA1: db43c290ceaa423e0f833a3b1a574ff09f0b0aac
SHA256: 7a3756f8b7af4542190103e5663acb1c326d2c9cba37aca1c0d9500ab54b5ffa
SHA512: d27a2f41f2e1ece38338b09d43c0b719406b71d9d08633df5d2b50f4e9c22012b5cb8b504c09843d618282b28ca2279a13589a8a8abf0c85bedb7d5f4e834c80
Homepage: https://cran.r-project.org/package=dmt
Description: CRAN Package 'dmt' (Dependency Modeling Toolkit)
 Probabilistic dependency modeling toolkit.

Package: r-cran-dmtest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-dmtest_1.0.0-1.ca2004.1_all.deb
Size: 1313948
MD5sum: 492d34fe92485e6e091778866c483c8a
SHA1: 12eaea7d596c42274cb57159d31a5fa47deb1542
SHA256: 0e30b5a98c4f5ecbcd9117202f46ffceda150cc018112e3b160e09334c5cbdec
SHA512: a4c08de609c0ea7c5f5cddc39c7706bfec1cfbcd7071f1a7b5a8cb150d30df64b535e9f74d99b4336cf67519a2e068ccb8e413068ac823f5c8978b7134b6910f
Homepage: https://cran.r-project.org/package=DMtest
Description: CRAN Package 'DMtest' (Differential Methylation Tests (DMtest))
 Several tests for differential methylation in methylation array data,
 including one-sided differential mean and variance test. Methods used in the
 package refer to Dai, J, Wang, X, Chen, H and others (2021) "Incorporating
 increased variability in discovering cancer methylation markers",
 Biostatistics, submitted.

Package: r-cran-dmtl
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-glmnet, r-cran-kernlab, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-dmtl_0.1.2-1.ca2004.1_all.deb
Size: 62944
MD5sum: a699724357c19fa3e20a04dfb883ebae
SHA1: a8ccce2b5065838552234449224bc49472d5549f
SHA256: 32f2c456370e5c03b3b3577b8c2fc489fe1edf57a88a25fe4e912e9fc09c00fe
SHA512: 8829b95ca234d97fc4591adcf05eab8fb23c540a292d7ec360478621c7eb1d6d680cef05abf850a062227b405b85c2d2c642d3795b074b0bd22a1250ca94b5dc
Homepage: https://cran.r-project.org/package=DMTL
Description: CRAN Package 'DMTL' (Tools for Applying Distribution Mapping Based Transfer Learning)
 Implementation of a transfer learning framework employing distribution
 mapping based domain transfer. Uses the renowned concept of histogram
 matching (see Gonzalez and Fittes (1977) <doi:10.1016/0094-114X(77)90062-3>,
 Gonzalez and Woods (2008) <isbn:9780131687288>) and extends it to include
 distribution measures like kernel density estimates (KDE; see Wand and Jones
 (1995) <isbn:978-0-412-55270-0>, Jones et al. (1996) <doi:10.2307/2291420).
 In the typical application scenario, one can use the underlying sample
 distributions (histogram or KDE) to generate a map between two distinct but
 related domains to transfer the target data to the source domain and utilize
 the available source data for better predictive modeling design. Suitable
 for the case where a one-to-one sample matching is not possible, thus one
 needs to transform the underlying data distribution to utilize the more
 available data for modeling.

Package: r-cran-dmtools
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-readxl, r-cran-purrr, r-cran-lubridate, r-cran-httr, r-cran-tidyr, r-cran-tibble, r-cran-progress
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dmtools_0.2.6-1.ca2004.1_all.deb
Size: 179608
MD5sum: 9919f17e117ba0f3d12bad7c9e39019a
SHA1: 571e1182d65d19b40e16abababa410af62742f7d
SHA256: 255e85cc5e3fb8c3fb8a06d258c2c912888cfb20bc615842c279825336808e23
SHA512: e68046421cc4d0b7fe5110c9c4472b20366ce0bf8eb9fa9859f79f3e28f65ec091eba56c6edee9d7ee841f40fac3ccf213a1795d50d32de7fb2ddac0417a4501
Homepage: https://cran.r-project.org/package=dmtools
Description: CRAN Package 'dmtools' (Tools for Clinical Data Management)
 For checking the dataset from EDC(Electronic Data Capture) in clinical
 trials.  'dmtools' reshape your dataset in a tidy view and check events.
 You can reshape the dataset and choose your target to check, for example,
 the laboratory reference range.

Package: r-cran-dmutate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dmutate_0.1.3-1.ca2004.1_all.deb
Size: 62648
MD5sum: d9b944414ae191c790286077d173d41e
SHA1: 25f8786b488230fdcc77b9bc25c16743c340bb80
SHA256: 3739f714bcd477bf47bea92fa98b7a005017ab5f91598a76b9c12b1d11a87a2a
SHA512: 54566a2f8afe30e3c2c1c3f40b0d25f14ddc337436dd4e3549a6d8e57b325eaa2d68a4dc82f3946465631db700c5cbb14cd85eb69c833cdf33ee78e568fd8cf7
Homepage: https://cran.r-project.org/package=dmutate
Description: CRAN Package 'dmutate' (Mutate Data Frames with Random Variates)
 Work within the 'dplyr' workflow to add random variates to your data frame.
 Variates can be added at any level of an existing column.  Also, bounds can
 be specified for simulated variates.

Package: r-cran-dmwr2
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-class, r-cran-rpart, r-cran-quantmod, r-cran-dplyr, r-cran-readr, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-dmwr2_0.0.2-1.ca2004.1_all.deb
Size: 3176260
MD5sum: c50d56eb8a4c17d5d4aff6cfa2554672
SHA1: 3241b52c9a117c29ba6ac85fac52f41931822408
SHA256: cabf2d246889b88959e5597d229abc5debf5412a0679fba19e75766eafa4f3fc
SHA512: 1bddc5fa4fd8327cf3d6cd5fe5cefdd1577acee4ebc57f633e8dccf997051fe7023662db705f1c23aef92282a6b79c1ea53879e59c3cb40f18e8c33055cb838d
Homepage: https://cran.r-project.org/package=DMwR2
Description: CRAN Package 'DMwR2' (Functions and Data for the Second Edition of "Data Mining withR")
 Functions and data accompanying the second edition of the book "Data Mining
 with R, learning with case studies" by Luis Torgo, published by CRC Press.

Package: r-cran-dnafractal
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-dnafractal_0.0.2-1.ca2004.1_all.deb
Size: 30576
MD5sum: 391fc132e048a9d2fbe7a22121316560
SHA1: 198a9270ca229a72d53b5abdf3413701c2c14015
SHA256: 9679f37f9291092a27d5e756a47fc606385ff425fa386ffe34d403a60847d8dd
SHA512: 5418d6f5d723b9bbbbc3fd7171cd66825be990ae7c9c2ead6de3fbf5a8b84a96a8be1419eddb0317e8f90083d153e9c930304d723236a1ea232fee03400ed7a5
Homepage: https://cran.r-project.org/package=dnafractal
Description: CRAN Package 'dnafractal' (Generates a Fractal Image of a DNA Sequence)
 The function takes a DNA sequence, a start point, an end point in the
 sequence, dot size and dot color and draws a fractal image of the sequence.
 The fractal starts in the center of the canvas. The image is drawn by moving
 base by base along the sequence and dropping a midpoint between the actual
 point and the corner designated by the actual base. For more details see
 Jeffrey (1990) <doi:10.1093/nar/18.8.2163>, Hill, Schisler, and Singh (1992)
 <doi:10.1007/BF00178602>, and Löchel and Heider (2021)
 <doi:10.1016/j.csbj.2021.11.008>.

Package: r-cran-dnamf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plgp, r-cran-lhs, r-cran-fields, r-cran-mvtnorm
Suggests: r-cran-rnamf
Filename: pool/dists/focal/main/r-cran-dnamf_0.1.0-1.ca2004.1_all.deb
Size: 149376
MD5sum: bb4d9efd0f7e2f6e2ec5b6ca941099fd
SHA1: 1a778bff1e7c9cd61d07a1154443e5dca1c5a23c
SHA256: 2e51e250a7f1ce60cc87fb97446137a0cfbad852b8cabe86981a55ff0a846487
SHA512: 5f4e226d8f1d7aac3ef5cd27dcf1fb3f89634bae570f0f897919102b2fd87b78f58ff31f13c14090144443c78c9bf06f7e795f9b4d97b3b272b46dfdb57d8576
Homepage: https://cran.r-project.org/package=DNAmf
Description: CRAN Package 'DNAmf' (Diffusion Non-Additive Model with Tunable Precision)
 Performs Diffusion Non-Additive (DNA) model proposed by Heo, Boutelet, and
 Sung (2025+) <doi:10.48550/arXiv.2506.08328> for multi-fidelity computer
 experiments with tuning parameters. The DNA model captures nonlinear
 dependencies across fidelity levels using Gaussian process priors and is
 particularly effective when simulations at different fidelity levels are
 nonlinearly correlated. The DNA model targets not only interpolation across
 given fidelity levels but also extrapolation to smaller tuning parameters
 including the exact solution corresponding to a zero-valued tuning
 parameter, leveraging a nonseparable covariance kernel structure that models
 interactions between the tuning parameter and input variables. Closed-form
 expressions for the predictive mean and variance enable efficient inference
 and uncertainty quantification. Hyperparameters in the model are estimated
 via maximum likelihood estimation.

Package: r-cran-dnamixtureslite
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-graven, r-cran-rsolnp, r-cran-numderiv, r-cran-matrix, r-cran-grbase
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dnamixtureslite_0.0-1-1.ca2004.1_all.deb
Size: 236384
MD5sum: 2aa02461f3ca82cb0100e6ce790e3f35
SHA1: b11544005d4764c8f8a9543a8d55bc14816f5a7b
SHA256: 8dd07a0df14077cecc1ea6258717683cb4f8bc26704d49d652691ea16598d948
SHA512: 68bb623ddf0269e11380125f05338c1503defded6070bf989df404a7d22d8cf76290430559f6e6d273050bd79e2899917d4e7ed15f6a904b0d40330bdefc3de5
Homepage: https://cran.r-project.org/package=DNAmixturesLite
Description: CRAN Package 'DNAmixturesLite' (Statistical Inference for Mixed Traces of DNA (Lite-Version))
 Statistical methods for DNA mixture analysis. This package is a lite-version
 of the 'DNAmixtures' package to allow users without a 'HUGIN' software
 license to experiment with the statistical methodology. While the
 lite-version aims to provide the full functionality it is noticeably less
 efficient than the original 'DNAmixtures' package. For details on
 implementation and methodology see
 <https://dnamixtures.r-forge.r-project.org/>.

Package: r-cran-dnaseqtest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dnaseqtest_1.0-1.ca2004.1_all.deb
Size: 88040
MD5sum: 71129f0586e9a663316c010351b0d831
SHA1: 3cdc81e22e48e6926100fed470d19fb4136c1148
SHA256: dbdc7a6d84b778f7aa440a251c5267816af9357e4824a2b4041d284b05633fa3
SHA512: c5f8ac1054eb30adb9e7ef45091254377f5b044cfc8cf2fcad56bbcca22ee9731f9435a182d697369e47209b3393c48f0dacacdc122f4bf7332456dfb127208d
Homepage: https://cran.r-project.org/package=DNAseqtest
Description: CRAN Package 'DNAseqtest' (Generating and Testing DNA Sequences)
 Generates DNA sequences based on Markov model techniques for matched
 sequences. This can be generalized to several sequences. The sequences
 (taxa) are then arranged in an evolutionary tree (phylogenetic tree)
 depicting how taxa diverge from their common ancestors. This gives the tests
 and estimation methods for the parameters of different models. Standard
 phylogenetic methods assume stationarity, homogeneity and reversibility for
 the Markov processes, and often impose further restrictions on the
 parameters.

Package: r-cran-dndr
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2329
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dndr_3.1.0-1.ca2004.1_all.deb
Size: 1853944
MD5sum: f73deae7a43c8d5f4f4ca6323636283f
SHA1: c5de3435be52e76e9a8e9fc1ce3431e8c9c70e76
SHA256: 1987d162747fbd35d33c735d1f127c3881fdd7b98850234b1cb9ad3d640aa007
SHA512: 6bf128a5ad40426e4a01f72796599d164aa872c86a2604fec325594b032c39a21f5909bda9c538d3e4c5cd64fd83cce127bf2f7988ee39ad67a91ba0b2064429
Homepage: https://cran.r-project.org/package=dndR
Description: CRAN Package 'dndR' (Dungeons & Dragons Functions for Players and Dungeon Masters)
 The goal of 'dndR' is to provide a suite of Dungeons & Dragons related
 functions.  This package is meant to be useful both to players and Dungeon
 Masters (DMs).  Some functions apply to many tabletop role-playing games
 (e.g., dice rolling), but others are focused on Fifth Edition (a.k.a. "5e")
 and where possible both the 2014 and 2024 versions are supported.

Package: r-cran-dne
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dne_2.1.0-1.ca2004.1_all.deb
Size: 84168
MD5sum: 6c541839deb6d284e32b47b93c99ade0
SHA1: 610d4faee40463157e8a8564621d6e96e796fc72
SHA256: bc40a9bd747d5fe75839d049ca4132de89c96a3149dcf461ac6d8713add55cb8
SHA512: 1e68dd70d0930df96e9cd03f5617f53c2518956490e95a90810e7bf302c2bfc52168ab91ebe467c3a279e692fa6a053d5713e6ecc0495d0e8c5327fb68b06d8b
Homepage: https://cran.r-project.org/package=DnE
Description: CRAN Package 'DnE' (Distribution and Equation)
 The DnE package involves functions to analyse the distribution of a set of
 given data. The basic idea of the analysis is chi-squared test. Functions
 which have the form as "is.xxdistribution" are used to analyse whether the
 data obeys the xxdistrbution. If you do not know which distribution to
 judge, use function is.dt().

Package: r-cran-dnet
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1875
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-bioc-suprahex, r-bioc-graph, r-bioc-rgraphviz, r-cran-matrix
Suggests: r-bioc-limma, r-cran-survival, r-cran-foreach, r-cran-doparallel, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-dnet_1.1.7-1.ca2004.1_all.deb
Size: 1677760
MD5sum: 9ba159f63dca858a25584b13e94302e2
SHA1: b52f48f2fe2edc64643c8bd8498ee2d724cab192
SHA256: d14915dd4839b9f08c49c16cde69592c2ab699c37f42b4d0ebeb26b92f12ce96
SHA512: 8d6a136b8f9c81157f09db610a662709e7210aa3d44c32de25a37fef3d12665cc833bff519cd1697f07c551d55a15302f1ffca502706c9449a851a965329e40d
Homepage: https://cran.r-project.org/package=dnet
Description: CRAN Package 'dnet' (Integrative Analysis of Omics Data in Terms of Network,Evolution and Ontology)
 The focus of the dnet by Fang and Gough (2014)
 <doi:10.1186/s13073-014-0064-8> is to make sense of omics data (such as gene
 expression and mutations) from different angles including: integration with
 molecular networks, enrichments using ontologies, and relevance to gene
 evolutionary ages. Integration is achieved to identify a gene subnetwork
 from the whole gene network whose nodes/genes are labelled with informative
 data (such as the significant levels of differential expression or survival
 risks). To help make sense of identified gene networks, enrichment analysis
 is also supported using a wide variety of pre-compiled ontologies and
 phylostratific gene age information in major organisms including: human,
 mouse, rat, chicken, C.elegans, fruit fly, zebrafish and arabidopsis. Add-on
 functionalities are supports for calculating semantic similarity between
 ontology terms (and between genes) and for calculating network affinity
 based on random walk; both can be done via high-performance parallel
 computing.

Package: r-cran-dnetfinder
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-flare
Filename: pool/dists/focal/main/r-cran-dnetfinder_1.1-1.ca2004.1_all.deb
Size: 53972
MD5sum: ed6ee8632938af0655f73ab0923de577
SHA1: 4acc4abd71227c8ad24b9ba95e19e1d66662f896
SHA256: 405773d0b4576e693fd6f501ad5da1d75025f4df578a5c7a77ab120ea9b769f6
SHA512: 41186499edb68d06f9bc26270842e965641200ba7bd52ef5029830423ac1eef2ee713306dd8251d5e5f48a3a6fff6503b07927090ebe37f4ca98c846e1d74165
Homepage: https://cran.r-project.org/package=DNetFinder
Description: CRAN Package 'DNetFinder' (Estimating Differential Networks under Semiparametric GaussianGraphical Models)
 Provides a modified hierarchical test (Liu (2017) <doi:10.1214/17-AOS1539>)
 for detecting the structural difference between two Semiparametric Gaussian
 graphical models. The multiple testing procedure asymptotically controls the
 false discovery rate (FDR) at a user-specified level. To construct the test
 statistic, a truncated estimator is used to approximate the transformation
 functions and two R functions including lassoGGM() and lassoNPN() are
 provided to compute the lasso estimates of the regression coefficients.

Package: r-cran-dnh4
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rvest, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dnh4_0.1.12-1.ca2004.1_all.deb
Size: 35684
MD5sum: 3d1aae2413250e92a31949560178fc05
SHA1: 2da09d919bde612a2462d889e5b082db88829ee9
SHA256: dbed9e38251cf8bf8eb8ffed776891ca47f2f1fcf486749c960b75e7485053ef
SHA512: 87ed0d068ca7a4ee0d9a6b1f8ff3f4fb0297f532ecd6318e87a288d982402654187cdcedbc7fd4607a05582ee8b93a6b52b2f0339e22e1446b5acd1940f51008
Homepage: https://cran.r-project.org/package=DNH4
Description: CRAN Package 'DNH4' (Crawling for Daum News Text)
 Provides some utils to get Korean text sample from news articles in Daum
 which is popular news portal service in Korea.

Package: r-cran-dnlc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-spdep, r-cran-fdrtool, r-bioc-gostats, r-cran-locfdr, r-cran-mvtnorm, r-cran-catools
Filename: pool/dists/focal/main/r-cran-dnlc_1.0.0-1.ca2004.1_all.deb
Size: 26336
MD5sum: 352f4a2655927e8aef3fbb287df505e4
SHA1: d870664348aef9180d5125755a29bbdbfbde041e
SHA256: afc68ef0c82363ff4183e8988bb041f7c958305bbe279614c897da724e98c36c
SHA512: 395122f34333bdbf62b698b5e60982e978d6f3ac0442ef3c12d0e5c63fcc5cdceddca82c6db4c778bf9026fe91ecf6d47304944bf146840d2a9a7a682e1da7be
Homepage: https://cran.r-project.org/package=DNLC
Description: CRAN Package 'DNLC' (Differential Network Local Consistency Analysis)
 Using Local Moran's I for detection of differential network local
 consistency.

Package: r-cran-dnmf
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreach, r-cran-matrix, r-cran-gplots, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-dnmf_1.4.2-1.ca2004.1_all.deb
Size: 37260
MD5sum: 744cf52baf6d9dd04da0558cfd059348
SHA1: 49413b2ff3b116aedcbb07b6163031edf5a6ca20
SHA256: d4eeb78bc47aeee4f4236b7578698ab134138806e1dfd95c2e4f1f9bf3fd0188
SHA512: 0360f0c2e03fb2343c42058b78ff9f138d208bbd2af49a6c6d552b4cf4bbd87603dca61ab3a71cb7f29a770240ad0d052ea2411c663e8c178da12995ee934b86
Homepage: https://cran.r-project.org/package=DNMF
Description: CRAN Package 'DNMF' (Discriminant Non-Negative Matrix Factorization)
 Discriminant Non-Negative Matrix Factorization aims to extend the
 Non-negative Matrix Factorization algorithm in order to extract features
 that enforce not only the spatial locality, but also the separability
 between classes in a discriminant manner. It refers to three article,
 Zafeiriou, Stefanos, et al. "Exploiting discriminant information in
 nonnegative matrix factorization with application to frontal face
 verification." Neural Networks, IEEE Transactions on 17.3 (2006): 683-695.
 Kim, Bo-Kyeong, and Soo-Young Lee. "Spectral Feature Extraction Using dNMF
 for Emotion Recognition in Vowel Sounds." Neural Information Processing.
 Springer Berlin Heidelberg, 2013. and Lee, Soo-Young, Hyun-Ah Song, and
 Shun-ichi Amari. "A new discriminant NMF algorithm and its application to
 the extraction of subtle emotional differences in speech." Cognitive
 neurodynamics 6.6 (2012): 525-535.

Package: r-cran-dnnsim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-dnnsim_0.1.1-1.ca2004.1_all.deb
Size: 30792
MD5sum: 5e75b3d2f8b2e26d9f26e2dd4abdc718
SHA1: 3508403c3a86592bc17146d1a68f83bcd0ef672b
SHA256: 964c3266aba68783c7af728b92e0b877b6233de257f8e52169cc29e3469fac4a
SHA512: d6b174bde7f165686fa360045475ae0a0021f7c92dd53faef9e9d6a9a2ef8a7bf28ab003c37fc0a2cacc179f63810a1d2dff0e33691dd4373db8f400164744c0
Homepage: https://cran.r-project.org/package=DNNSIM
Description: CRAN Package 'DNNSIM' (Single-Index Neural Network for Skewed Heavy-Tailed Data)
 Provides a deep neural network model with a monotonic increasing single
 index function tailored for periodontal disease studies. The residuals are
 assumed to follow a skewed T distribution, a skewed normal distribution, or
 a normal distribution. More details can be found at Liu, Huang, and Bai
 (2024) <doi:10.1016/j.csda.2024.108012>.

Package: r-cran-dnr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1712
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-network, r-cran-ergm, r-cran-sna, r-cran-igraph, r-cran-arm, r-cran-glmnet
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-dnr_0.3.5-1.ca2004.1_all.deb
Size: 1098344
MD5sum: cd877b38d47a8f6ef6faa5293e9ba527
SHA1: 3b75c888b344715849bd13cd0c3eee6efbb3fe7b
SHA256: c7f93126c58bddbbcb675b2944e0fb1838293c501d239c1d8215e101bc20a4fd
SHA512: de008a784ce8d056b43c0bd28ad0c23e7b9ec3856df2a80e0854e2cdd04af30afc6c74745bc51f5a673937781dba118ac20805ac5976e1f7b60ff24b46eaa656
Homepage: https://cran.r-project.org/package=dnr
Description: CRAN Package 'dnr' (Simulate Dynamic Networks using Exponential Random Graph Models(ERGM) Family)
 Functions are provided to fit temporal lag models to dynamic networks. The
 models are build on top of exponential random graph models (ERGM) framework.
 There are functions for simulating or forecasting networks for future time
 points.  Abhirup Mallik & Zack W. Almquist (2019) Stable Multiple Time Step
 Simulation/Prediction From Lagged Dynamic Network Regression Models, Journal
 of Computational and Graphical Statistics, 28:4, 967-979, <DOI:
 10.1080/10618600.2019.1594834>.

Package: r-cran-do3pca
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdimtools, r-cran-ape, r-cran-phytools, r-cran-matrixcalc, r-cran-mclust, r-cran-nloptr, r-cran-ratematrix
Filename: pool/dists/focal/main/r-cran-do3pca_1.0.0-1.ca2004.1_all.deb
Size: 54580
MD5sum: 700f2c11906d81a5a4dedd228c5c805a
SHA1: 5e9e3f170273c8f6d8fb24e8379a4c0987868988
SHA256: b1bfcc7cfbe710f25b4d14d7e69fc70d93df6a737859e5e8b96c8850fea82d1a
SHA512: edaec50ea78964134693b6c9de25e68444ebada783c57fe72c26b12eeaa62c8523a99ba221ab94d13516b833fc0907d9e94e2a7a3d1d5ef1e134e72af05e7576
Homepage: https://cran.r-project.org/package=do3PCA
Description: CRAN Package 'do3PCA' (Probabilistic Phylogenetic Principal Component Analysis)
 Estimates probabilistic phylogenetic Principal Component Analysis (PCA) and
 non-phylogenetic probabilistic PCA. Provides methods to implement
 alternative models of trait evolution including Brownian motion (BM),
 Ornstein-Uhlenbeck (OU), Early Burst (EB), and Pagel's lambda. Also provides
 flexible biplot functions.

Package: r-cran-do
Architecture: all
Version: 2.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-plyr, r-cran-tmcn, r-cran-tidyselect, r-cran-reshape2, r-cran-tidyr, r-cran-rvest, r-cran-xml2, r-cran-crayon, r-cran-httr, r-cran-usethis, r-cran-desc, r-cran-rstudioapi, r-cran-stringr, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-do_2.0.0.1-1.ca2004.1_all.deb
Size: 253292
MD5sum: 896d3d31b04347d760e42963a77b9dc1
SHA1: 8c9f48480b0a2fbc865df49fe42bd90cb72a0f63
SHA256: 698e053b5ad3cc0d8ed60f3bf5cb6b36c3caae3e81d5bb436f5aa305d131fb56
SHA512: 879ec97378a0e83ddd950f930920526875c0d35319dc4848a8b389d8b69574b01723a3f75ae020ce8f7edcdacdefc2184e09f0b2206430864c47901ea5750340
Homepage: https://cran.r-project.org/package=do
Description: CRAN Package 'do' (Data Operator)
 Flexibly convert data between long and wide format using just two functions:
 reshape_toLong() and reshape_toWide().

Package: r-cran-dobad
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-lattice, r-cran-matrix
Suggests: r-cran-gtools, r-cran-mcmcpack, r-cran-functional
Filename: pool/dists/focal/main/r-cran-dobad_1.0.6-1.ca2004.1_all.deb
Size: 583364
MD5sum: 3c8d49e79bfd3364f3e50dfb5ea7eabd
SHA1: edc03b8561622e0f951de5dc1d012f21364bc5f3
SHA256: eccbf0eb6839436882734d530f4963f25a6162f2a67582172e16582a323c29c3
SHA512: 643b616598a7663ee8fa3f0eefffeaebade735070375e54c050c5f5848d75ad2422ca565e41b35d419b0e98dc7127ee63df4b681c54744f6a56417794a6cf056
Homepage: https://cran.r-project.org/package=DOBAD
Description: CRAN Package 'DOBAD' (Analysis of Discretely Observed LinearBirth-and-Death(-and-Immigration) Markov Chains)
 Provides Frequentist (EM) and Bayesian (MCMC) Methods for Inference of
 Birth-Death-Immigration Markov Chains.

Package: r-cran-dobin
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 738
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dbscan, r-cran-ggplot2, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-outlierso3, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-dobin_1.0.4-1.ca2004.1_all.deb
Size: 556780
MD5sum: 1c3970d0e627e4d49ce13d015a602518
SHA1: 6c12c51d0e48e7ae502241a974b2388f94bd1601
SHA256: 7e7ff3c9e532841f55a5a51f26a08b80c110c5ba3fa2c11bde318c3038e1c6e1
SHA512: 0dc36f3a3295682d66f7528506125e864cd4fd18aa2947d74eb99420aa7fb24532586a6b7453189c3f68804e80b38793058aa84e8237149a21fc54942221201e
Homepage: https://cran.r-project.org/package=dobin
Description: CRAN Package 'dobin' (Dimension Reduction for Outlier Detection)
 A dimension reduction technique for outlier detection. DOBIN: a Distance
 based Outlier BasIs using Neighbours, constructs a set of basis vectors for
 outlier detection. This is not an outlier detection method; rather it is a
 pre-processing method for outlier detection. It brings outliers to the
 fore-front using fewer basis vectors (Kandanaarachchi, Hyndman 2020)
 <doi:10.1080/10618600.2020.1807353>.

Package: r-cran-doblin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1406
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-entropy, r-cran-gplots, r-cran-lazyeval, r-cran-proxy, r-cran-ggthemes, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-ggnewscale, r-cran-readr, r-cran-data.table, r-cran-reshape2, r-cran-imputets, r-cran-dtwclust, r-cran-purrr, r-cran-tidyr, r-cran-tsdist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-ggpubr, r-cran-optparse, r-cran-pryr
Filename: pool/dists/focal/main/r-cran-doblin_0.1.1-1.ca2004.1_all.deb
Size: 783588
MD5sum: 6a2af5485cc6709057d478e619c56ce7
SHA1: dddfd5638cf43027d1a000eb4ce57ac6cc78ce21
SHA256: 1695d77e7e9773aaefb3af30363b832b01e071e5d6785754002521c5f37d596a
SHA512: 4888eccb6023ef0359af6fdd428b63495f42ecbfa9065f64fc1a6ac6f894ca7ff0ea4cb3dea9e7b59a25a053701523364dc05183f012511639a33c686afb09cc
Homepage: https://cran.r-project.org/package=doblin
Description: CRAN Package 'doblin' ('doblin': Inferring Dominant Clonal Lineages from DNA BarcodingTime-Series)
 Provides functions to quantify dominant clonal lineages from DNA barcoding
 time-series data. The package implements clustering of barcode lineage
 trajectories, based on the assumption that similar temporal dynamics
 indicate comparable relative fitness. It also identifies persistent clonal
 lineages across time points. Input data can include lineage frequency tables
 derived from chromosomal barcoding, mutational libraries, or CRISPR/Cas
 screens. For more details, see Gagné-Leroux et al. (2024)
 <doi:10.1101/2024.09.08.611892>.

Package: r-cran-dobson
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dobson_0.4-1.ca2004.1_all.deb
Size: 89548
MD5sum: f2616c6e5983d522c896ea2a73a70f96
SHA1: ccead0b8ca8f27539bca2a84e1f37e3e40a1c0b1
SHA256: 38121d44ee6e9596918528ed5ac771c9b2b0f1e1b8beb3e282f58147b7cb1dc1
SHA512: 0c8d4ccd5d6edf4df861928ae8ad1717d320ea885a2753e974abb25f29b0721fe15ab323fd6c4ad7a47a4cc541c1b09aa7d68f676c7c79636b03bc29d4d16ae3
Homepage: https://cran.r-project.org/package=dobson
Description: CRAN Package 'dobson' (Data from the GLM Book by Dobson and Barnett)
 Example datasets from the book "An Introduction to Generalised Linear
 Models" (Year: 2018, ISBN:9781138741515) by Dobson and Barnett.

Package: r-cran-doby
Architecture: all
Version: 4.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5060
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-broom, r-cran-cowplot, r-cran-deriv, r-cran-dplyr, r-cran-ggplot2, r-cran-mass, r-cran-matrix, r-cran-modelr, r-cran-microbenchmark, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-geepack, r-cran-knitr, r-cran-lme4, r-cran-markdown, r-cran-multcomp, r-cran-pbkrtest, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-doby_4.7.0-1.ca2004.1_all.deb
Size: 4809836
MD5sum: 8679108971c0ac71242f4acb46029683
SHA1: 723eda6ed595970980c2fa686303f0a7161d6955
SHA256: 2a409ad364d55a4036ad5023ddc81b3a42042c0ed2de244c899a7ebfda7f529a
SHA512: fd1816c2da6f280ad24fa5dc26d98dc8eec70d25acce3a86a3230bd817f100d5292ea7cf79fc45adc14483971716b115d68604a58b5fbd60ef1ed34eb0b2faed
Homepage: https://cran.r-project.org/package=doBy
Description: CRAN Package 'doBy' (Groupwise Statistics, LSmeans, Linear Estimates, Utilities)
 Utility package containing: Main categories: Working with grouped data: 'do'
 something to data when stratified 'by' some variables.  General linear
 estimates. Data handling utilities. Functional programming, in particular
 restrict functions to a smaller domain. Miscellaneous functions for data
 handling. Model stability in connection with model selection. Miscellaneous
 other tools.

Package: r-cran-doc2concrete
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2702
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tm, r-cran-quanteda, r-cran-glmnet, r-cran-stringr, r-cran-english, r-cran-textstem, r-cran-snowballc, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-doc2concrete_0.6.0-1.ca2004.1_all.deb
Size: 2708764
MD5sum: 1fa8fbfccb002ec4f57b7f0cae7024d2
SHA1: 700c0d9c2733a710f02c8b75713a1270aa9dac11
SHA256: 9bf8cb8c4efbef4343f5c127debd367ca98c7bfd1105af07726d9a3cb7ae5406
SHA512: 9f9212560868e2cf02c10a238af1960600d12bd86bb96ae437d13402358e478eb80a54ee160c5cc80033f9ad0d6d8d1be7c3cdd8b277c01633670de518b6ca42
Homepage: https://cran.r-project.org/package=doc2concrete
Description: CRAN Package 'doc2concrete' (Measuring Concreteness in Natural Language)
 Models for detecting concreteness in natural language. This package is built
 in support of Yeomans (2021) <doi:10.1016/j.obhdp.2020.10.008>, which
 reviews linguistic models of concreteness in several domains. Here, we
 provide an implementation of the best-performing domain-general model (from
 Brysbaert et al., (2014) <doi:10.3758/s13428-013-0403-5>) as well as two
 pre-trained models for the feedback and plan-making domains.

Package: r-cran-dockerfiler
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1122
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-attempt, r-cran-cli, r-cran-desc, r-cran-fs, r-cran-glue, r-cran-jsonlite, r-cran-memoise, r-cran-pak, r-cran-pkgbuild, r-cran-purrr, r-cran-r6, r-cran-remotes, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dockerfiler_0.2.5-1.ca2004.1_all.deb
Size: 339916
MD5sum: a7329ecc965e953f3bbeca55be1bd74a
SHA1: 69af1a809b497a4869572bf09782db653560e48d
SHA256: 6ce83406ee73118464e50608b2efa4b119a6e8c8ed3ff2301046a4234d30ffaf
SHA512: acfd28353f2840ed0093e9857643a0f44f892363b8ee88c482e1940f835ef2a964893f8424f18fc172f197ede9210a72da1bc2bf53ff3f48c806233c37af095f
Homepage: https://cran.r-project.org/package=dockerfiler
Description: CRAN Package 'dockerfiler' (Easy Dockerfile Creation from R)
 Build a Dockerfile straight from your R session.  'dockerfiler' allows you
 to create step by step a Dockerfile, and provide convenient tools to wrap R
 code inside this Dockerfile.

Package: r-cran-dockerparallel
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1837
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-markdown, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dockerparallel_1.0.4-1.ca2004.1_all.deb
Size: 1189116
MD5sum: 89e3f1dacbe83a7d869bf66821b5bf74
SHA1: b1f0f9ed4e54b0637927372637bcb8cf5c76bbeb
SHA256: a017047e7ad484dc68e2eb554203ff67b79a3baf9931f6c2e43804ad44ed3469
SHA512: 2bf06b99166de942baa9613141606fece68608e6549b6706ffd409ecd94a03af53eb9b4540b514a8ce38c7cf64fd64787f76db82ab7b66d81571d9687450c898
Homepage: https://cran.r-project.org/package=DockerParallel
Description: CRAN Package 'DockerParallel' (Using the Docker Container to Create R Workers on Local or CloudPlatform)
 This is the core package that provides both the user API and developer API
 to deploy the parallel cluster on the cloud using the container service. The
 user can call clusterPreset() to define the cloud service provider and
 container and makeDockerCluster() to create the cluster. The developer
 should see "developer's cookbook" on how to define the cloud provider and
 container.

Package: r-cran-docket
Architecture: all
Version: 1.33-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-xml, r-cran-xml2, r-cran-zip
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-docket_1.33-1.ca2004.1_all.deb
Size: 213804
MD5sum: 86d12ae82ac2e235b9e3c6cb8a395205
SHA1: 29c9c3c60b84fd3480e5886e1a90d44e8297258c
SHA256: 17e72d812bc1b0228a7fd6dd880bcdb125eac4bbafbcea9d669e13001e4eef0e
SHA512: 8fac36ec26dc3b17ac587727fe94c13c69d9e908a71dedfad39debdd6aac364f59d08dbd92009c516a6779dd709e3cd0a1755c56b626e76f4e25b34297cf2139
Homepage: https://cran.r-project.org/package=docket
Description: CRAN Package 'docket' (Insert R Data into 'Word' Documents)
 Populate data from an R environment into '.doc' and '.docx' templates.
 Create a template document in a program such as 'Word', and add strings
 encased in guillemet characters to create flags («example»). Use
 getDictionary() to create a dictionary of flags and replacement values, then
 call docket() to generate a populated document.

Package: r-cran-docknitr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-sys, r-cran-rstudioapi
Suggests: r-cran-rmarkdown, r-cran-r.rsp, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-docknitr_1.0.1-1.ca2004.1_all.deb
Size: 57304
MD5sum: 56665cf175e4fd20de70fba910c3f9c3
SHA1: 890dd5331dce34d1c252f96761c43035dead58dc
SHA256: 14cacb53513c56c30526751ff59c1f669dcce850886c651618f886c0d40da3ea
SHA512: 2677013be78f16c918cb6869ba0e4b718bbc363ed4ff2987e4c6d111c731a3333eaf311839bb7a6463c5fa10b05a866b503eb0b8819a545eb1ab9d8d091d5044
Homepage: https://cran.r-project.org/package=docknitr
Description: CRAN Package 'docknitr' (Use Docker Images to Process Rmarkdown Blocks)
 Gives you the ability to use arbitrary Docker images (including custom ones)
 to process Rmarkdown code chunks.

Package: r-cran-dockviewr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2886
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxy.shinylive, r-cran-shinytest2, r-cran-testthat, r-cran-visnetwork, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-dockviewr_0.1.0-1.ca2004.1_all.deb
Size: 1156048
MD5sum: 98f3c16f99458f7f200b2cfc1b0fc73f
SHA1: a9713197e59e914f17fc00eaa771bc28caa3c037
SHA256: 5fbb7dd5d723295f04bf859a5d201fcc79170dd7ce88d7bd7ce3f6131be61e84
SHA512: b3513feb16226ae81db115e840378b8292b68510f6ae0d26e891d4aff8fe69542ccda72362605541a744361ee0993c65f766d3f2266375d58643a9c1ed1ab887
Homepage: https://cran.r-project.org/package=dockViewR
Description: CRAN Package 'dockViewR' (Layout Manager Widget for R and 'shiny' Apps)
 Provides R bindings to the 'dockview' 'JavaScript' library
 <https://dockview.dev/>.  Create fully customizable grid layouts (docks) in
 seconds to include in interactive R reports with R Markdown or 'Quarto' or
 in 'shiny' apps <https://shiny.posit.co/>. In 'shiny' mode, modify docks by
 dynamically adding, removing or moving panels or groups of panels from the
 server function. Choose among 8 stunning themes (dark and light), serialise
 the state of a dock to restore it later.

Package: r-cran-doconv
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 372
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magick, r-cran-pdftools, r-cran-locatexec, r-cran-processx
Suggests: r-cran-tinytest, r-cran-testthat, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-doconv_0.3.2-1.ca2004.1_all.deb
Size: 308736
MD5sum: c09c57e97f581138abdcaab7240e362f
SHA1: 13381e66b89d35673ba99b2621ca57b8ad313711
SHA256: 478758ea2649e5fe64ce60c82569987d0ca525d5f01d0a6b5c3d0407115ade21
SHA512: 4f06119bed0ee74b7df7461ed7cc9a09ffa58cea79d0a81c40e5376411027476dd5e1723b818f773635a45aef99fcf5dfb30d9a049dd6872c0c27c8635cd300d
Homepage: https://cran.r-project.org/package=doconv
Description: CRAN Package 'doconv' (Document Conversion to 'PDF' or 'PNG')
 It provides the ability to generate images from documents of different
 types. Three main features are provided: functions for generating document
 thumbnails, functions for performing visual tests of documents and a
 function for updating fields and table of contents of a 'Microsoft Word' or
 'RTF' document. In order to work, 'LibreOffice' must be installed on the
 machine and or 'Microsoft Word'. If the latter is available, it can be used
 to produce PDF documents or images identical to the originals; otherwise,
 'LibreOffice' is used and the rendering can be sometimes different from the
 original documents.

Package: r-cran-docopt
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-docopt_0.7.2-1.ca2004.1_all.deb
Size: 259140
MD5sum: 89a5c87a772eb7639aa0b19f76977420
SHA1: 20d6f951cb14a985654adb5eb343ad8a84f6ec8c
SHA256: 14c8ec8b9e55cabb85c3e17b8b6147f1d0d2314fa87c722d67e5111e266d23cf
SHA512: 8323180be4fc34fed07d6b0540f154fffd0a46aeda3ee6361f736e585fc385dbc835acdae98bbccb365308d5716490db3af941917ab7fdd734acaf07eb31e146
Homepage: https://cran.r-project.org/package=docopt
Description: CRAN Package 'docopt' (Command-Line Interface Specification Language)
 Define a command-line interface by just giving it a description in the
 specific format.

Package: r-cran-docore
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-bit64
Filename: pool/dists/focal/main/r-cran-docore_1.0-1.ca2004.1_all.deb
Size: 27732
MD5sum: 3dc79c016b845a8ebeb9826c87a710bf
SHA1: 506245ffec39bbfcf2dbd02af158ccbc67892f59
SHA256: d343863bab2c5e8ae82d9c57b905e568c1e923eed1882e678dabc1b93c418ce5
SHA512: 15dbcea0f8983e117fb41e12fd8fc6c1eddbece73d27ed75f62420482db8aa9307c6a4ad4420d036fbd3d66649766b215d39fcf90846b54389a03c96cd570e30
Homepage: https://cran.r-project.org/package=docore
Description: CRAN Package 'docore' (Utility Functions for Scientific Coding)
 Basic routines used in scientific coding, such as timing routines,
 vector/array handing functions and I/O support routines.

Package: r-cran-docovt
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-docovt_0.2-1.ca2004.1_all.deb
Size: 46760
MD5sum: 5e352fe29275310925cc2ded806698bf
SHA1: ea32ba111c4664624b3a1997de74fd201b19a722
SHA256: c80e169f9f96768dbc1bab1911e8bc549423e5859502f1303b470ce86548ae33
SHA512: ff8432bddf9c9347d71d665e833937db7e4ba7332fc0189e5a5fcc60e293a6530e348e1746b002365e83208eb20a975025c026bb96f7ae871b2ef3467828a88b
Homepage: https://cran.r-project.org/package=Docovt
Description: CRAN Package 'Docovt' (Distributed Online Covariance Matrix Tests)
 Distributed Online Covariance Matrix Tests 'Docovt' is a powerful tool
 designed to efficiently process and analyze distributed datasets. It enables
 users to perform covariance matrix tests in an online, distributed manner,
 making it highly suitable for large-scale data analysis. By leveraging
 advanced computational techniques, 'Docovt' ensures robust and scalable
 solutions for statistical analysis, particularly in scenarios where data is
 dispersed across multiple nodes or sources. This package is ideal for
 researchers and practitioners working with high-dimensional data, providing
 a flexible and efficient framework for covariance matrix estimation and
 hypothesis testing. The philosophy of 'Docovt' is described in Guo G.(2025)
 <doi:10.1016/j.physa.2024.130308>.

Package: r-cran-docreview
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-parsermd, r-cran-purrr, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-rlang, r-cran-stringr, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-docreview_0.0.1-1.ca2004.1_all.deb
Size: 69628
MD5sum: 6fb711446fd70105ecc23a3bfd786c83
SHA1: 3162534f75d5a7a8f00eadfe361d446d618611a3
SHA256: 642ce6bc9fb0dda186820ec11c66d1caf58b73897be18d5dc2c24fa2a7ac7be0
SHA512: b28a8305b259f361018bb224de423a667ac6b365225fbbc2adc0a1641ff5dfda945fe7825aa7529a95ea6bace8000d901a658997b6348ab3ae6bd76fd4d0b6da
Homepage: https://cran.r-project.org/package=docreview
Description: CRAN Package 'docreview' (Opinionated Documentation Checking)
 High quality documentation can make for a great experience for your users.
 You can use 'docreview' to check that your R package documentation passes a
 number of configurable checks relating to documentation content.

Package: r-cran-docstring
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roxygen2
Suggests: r-cran-devtools, r-cran-rstudioapi, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-docstring_1.0.0-1.ca2004.1_all.deb
Size: 24312
MD5sum: 466a36000cb99918491b88818fc59aad
SHA1: 2f3efa8d848984131093a70d2184f74a5781082a
SHA256: 5447c0b99f590f9d41ab2df6033ccc56da45f85f9332e6c7f9f6b016da125e9d
SHA512: c432c024e7a23ebb8056e07c5ad6fbb60caba79e11e39f8530e90f8fdb936cca8584820a2b9a40eb3a04ea4e4453a1f37714f5902f78f91d7b1ff7f74a5e21c0
Homepage: https://cran.r-project.org/package=docstring
Description: CRAN Package 'docstring' (Provides Docstring Capabilities to R Functions)
 Provides the ability to display something analogous to Python's docstrings
 within R.  By allowing the user to document their functions as comments at
 the beginning of their function without requiring putting the function into
 a package we allow more users to easily provide documentation for their
 functions.  The documentation can be viewed just like any other help files
 for functions provided by packages as well.

Package: r-cran-doctest
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2593
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-pkgload, r-cran-purrr, r-cran-rlang, r-cran-roxygen2, r-cran-testthat
Suggests: r-cran-covr, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-doctest_0.3.0-1.ca2004.1_all.deb
Size: 418416
MD5sum: 93b70956ba43694389a41dcd84aa9b11
SHA1: dd7db8402b3973912647d12ce8427ee86938c934
SHA256: 3b0426d459e7f3e48fabc30a80a0d32e40468402129281415dd702c51c121f03
SHA512: 508b378f1d4a710f85943700b8fdeed868054d327a705cdc5d0ba5cc22fae2ab76edc2621d4d5afa28d2fcfb70c4a4e7307c5f8385c3bce6f6e213fb535f2b2c
Homepage: https://cran.r-project.org/package=doctest
Description: CRAN Package 'doctest' (Generate Tests from Examples Using 'roxygen' and 'testthat')
 Creates 'testthat' tests from 'roxygen' examples using simple tags.

Package: r-cran-document
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-callr, r-cran-checkmate, r-cran-desc, r-cran-fritools, r-cran-rcmdcheck, r-cran-roxygen2, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-runit, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-document_4.0.1-1.ca2004.1_all.deb
Size: 75228
MD5sum: 63512e914e1a61ec2e4c7474da7394b7
SHA1: 26650b7de40781e62e446309f64272143fe67dd0
SHA256: 6cf3e1c4f301c909a50fa255c31bbf13a9a67483fe51c32ff21f830e1d24d985
SHA512: 77b722e518dcb26c473cc8666e6611149a14a8f10da15a55222536203740654582babc17a524437bd3454cf0fc29452be17478a6fd1f0b269965668518401981
Homepage: https://cran.r-project.org/package=document
Description: CRAN Package 'document' (Run 'roxygen2' on (Chunks of) Single Code Files)
 Have you ever been tempted to create 'roxygen2'-style documentation comments
 for one of your functions that was not part of one of your packages (yet)?
 This is exactly what this package is about: running 'roxygen2' on (chunks
 of) a single code file.

Package: r-cran-documenter
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-officer, r-cran-magrittr, r-cran-htmltools, r-cran-yaml
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-documenter_0.1.3-1.ca2004.1_all.deb
Size: 48836
MD5sum: 85c30a80bdbefe6ab88b2763ea5b53a6
SHA1: 6cf253f954ecb1337a673a72cf5e03ed92d1197d
SHA256: a0907786222acc2807d910565340b431f75222085bf5ad6c8a9ca1310520b3e3
SHA512: 62d22a44b11021896d26e47d61a574ba540432220b9b14967c541211e167d29106186037b205e055ced78584e066998d4a6933bf2d9d7a91d61dc660551918d5
Homepage: https://cran.r-project.org/package=documenter
Description: CRAN Package 'documenter' (Documents Files)
 It is sometimes necessary to create documentation for all files in a
 directory. Doing so by hand can be very tedious. This task is made fast and
 reproducible using the functionality of 'documenter'. It aggregates all text
 files in a directory and its subdirectories into a single word document in a
 semi-automated fashion.

Package: r-cran-docusignr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-covr, r-cran-drat
Filename: pool/dists/focal/main/r-cran-docusignr_0.0.3-1.ca2004.1_all.deb
Size: 34132
MD5sum: f6ffbad8285065af908352874b163fd1
SHA1: ac1be7f6bb01b681a15f3d5095de3ec7e1dd0416
SHA256: 16e278aa14d4d1bef95b362f4594c2684625875aa5c35a197ca101a61444920a
SHA512: 21ae0ada056b8c8f63a9bef0ad8a21bd5c3f8de5703b2962c1c5260783bc1e8cf08c2ed212b8e0ee240697fb6101bf4c7c3314574f6e928b64873f2387fbd35a
Homepage: https://cran.r-project.org/package=docuSignr
Description: CRAN Package 'docuSignr' (Connect to 'DocuSign' API)
 Connect to the 'DocuSign' Rest API
 <https://www.docusign.com/p/RESTAPIGuide/RESTAPIGuide.htm>, which supports
 embedded signing, and sending of documents.

Package: r-cran-docxtools
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rprojroot, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-docxtools_0.3.0-1.ca2004.1_all.deb
Size: 99040
MD5sum: 1e60ec180abd0cab70712c54191878d9
SHA1: 4205a1f044f2a2f34a670a4f0545430ac3d9a14c
SHA256: ac1b0879b7fef126e4748b78944f0238cba3b2b529c73a9cb2d432461421232b
SHA512: ec03ba75baa20c094457d16db7ba8071fb73b31e919498ff4a1a890809bbf69f4de6fc67d2449cfa94f8020a537792c96f08d778333338388f80bcddf5284a87
Homepage: https://cran.r-project.org/package=docxtools
Description: CRAN Package 'docxtools' (Tools for R Markdown to Docx Documents)
 A set of helper functions for using R Markdown to create documents in docx
 format, especially documents for use in a classroom or workshop setting.

Package: r-cran-docxtractr
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 717
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-purrr, r-cran-dplyr, r-cran-httr, r-cran-magrittr
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-docxtractr_0.6.5-1.ca2004.1_all.deb
Size: 493988
MD5sum: bb9b1ea76597df25def58271f4feac02
SHA1: 74d5fec44fb54706f4e8b50e42e580d0552058b3
SHA256: a61ac38602390c270bd513b5e6daca9e20db5084c46754f382a3fbb7ce915e51
SHA512: 45f6f77118380a3684fe32b8c71020b5adcc50ddcbca8d28bdc27e3484beb76fc68139bd4cd6bdb08cb3ed3f59780f2144d65a4e4c712aba6763952771253243
Homepage: https://cran.r-project.org/package=docxtractr
Description: CRAN Package 'docxtractr' (Extract Data Tables and Comments from 'Microsoft' 'Word'Documents)
 'Microsoft Word' 'docx' files provide an 'XML' structure that is fairly
 straightforward to navigate, especially when it applies to 'Word' tables and
 comments. Tools are provided to determine table count/structure, comment
 count and also to extract/clean tables and comments from 'Microsoft Word'
 'docx' documents.  There is also nascent support for '.doc' and '.pptx'
 files.

Package: r-cran-dodge
Architecture: all
Version: 0.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dodge_0.9-2-1.ca2004.1_all.deb
Size: 57064
MD5sum: 8d6ef5e7ea9ec5fbc42b06f71bbb9f56
SHA1: 1411cbb100fccbefa9f7b65ba4bc71381334a28d
SHA256: cd992bd4622b8c7cb80a7e3348cf8a0c83d8184e28ec8c513a1c7b6f697aab77
SHA512: fbceba88fcc1dd6af1bdbb8191eff03f329f6271b80077118a7d3274fb9e26c35a59e3e1288eff6b65c7a9715da6b55727c286e793c374a1daf653b43407c616
Homepage: https://cran.r-project.org/package=Dodge
Description: CRAN Package 'Dodge' (Acceptance Sampling Ideas Originated by H.F. Dodge)
 A variety of sampling plans are able to be compared using evaluations of
 their operating characteristics (OC), average outgoing quality (OQ), average
 total inspection (ATI) etc.

Package: r-cran-doe.base
Architecture: all
Version: 1.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-conf.design, r-cran-vcd, r-cran-combinat, r-cran-mass, r-cran-lattice, r-cran-numbers, r-cran-partitions
Suggests: r-cran-frf2, r-cran-doe.wrapper, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-doe.base_1.2-5-1.ca2004.1_all.deb
Size: 1677540
MD5sum: 998b20c6552275346af6b0c9f96096c1
SHA1: 4ec07df51e6f4357992a32e74a0ed4a679e8bc83
SHA256: 98c95e72aaab58d80fad88b4070aa0e9da533e51745f57b51cd5a32ecf166ec7
SHA512: 6da7b8a6454558d6133a0d0c225ba1e5fa201be0924a62f665955351a72b943ecd7530474c70e2bc20cdcb67bcdae7dfa5caceb82a4cb82046400a8b833e5595
Homepage: https://cran.r-project.org/package=DoE.base
Description: CRAN Package 'DoE.base' (Full Factorials, Orthogonal Arrays and Base Utilities for DoEPackages)
 Creates full factorial experimental designs and designs based on orthogonal
 arrays for (industrial) experiments. Provides diverse quality criteria.
 Provides utility functions for the class design, which is also used by other
 packages for designed experiments.

Package: r-cran-doe.miparray
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 632
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-combinat, r-cran-doe.base
Suggests: r-cran-slam, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-doe.miparray_1.0-1-1.ca2004.1_all.deb
Size: 282608
MD5sum: af48fe63bd52ef1c2e34b6bafd17190b
SHA1: 23988e3d388914cc77caafb75a8042832bf92300
SHA256: 7420281d98d59e229f18d35823764b49846fabf86adc939430f4c716cdcca4c3
SHA512: 75d61b96d7d03ad128b4cd09b8d143250fb7529b29c991f981e5f48385e63aedec64d3dc9c48d68218afd1608fe7226e399c5e7e1fd427fcfb8a314ec468d5a1
Homepage: https://cran.r-project.org/package=DoE.MIParray
Description: CRAN Package 'DoE.MIParray' (Creation of Arrays by Mixed Integer Programming)
 'CRAN' packages 'DoE.base' and 'Rmosek' and non-'CRAN' package 'gurobi' are
 enhanced with functionality for the creation of optimized arrays for
 experimentation, where optimization is in terms of generalized minimum
 aberration. It is also possible to optimally extend existing arrays to
 larger run size. The package writes 'MPS' (Mathematical Programming System)
 files for use with any mixed integer optimization software that can process
 such files. If at least one of the commercial products 'Gurobi' or 'Mosek'
 (free academic licenses available for both) is available, the package also
 creates arrays by optimization. For installing 'Gurobi' and its R package
 'gurobi', follow instructions at
 <https://www.gurobi.com/products/gurobi-optimizer/> and
 <https://www.gurobi.com/documentation/7.5/refman/r_api_overview.html> (or
 higher version). For installing 'Mosek' and its R package 'Rmosek', follow
 instructions at <https://www.mosek.com/downloads/> and
 <https://docs.mosek.com/8.1/rmosek/install-interface.html>, or use the
 functionality in the stump CRAN R package 'Rmosek'.

Package: r-cran-doe.multi.response
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doe.wrapper
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-doe.multi.response_0.1.0-1.ca2004.1_all.deb
Size: 15208
MD5sum: 72353c3acb13ae6e76614526d2f8e551
SHA1: 60f5abf185b6bb531f788bfdea77d479fc304582
SHA256: 7a67601e9a8fc9348ce0bdf2429e7bc7604c7022c511472ed7e6c84d448ab1bf
SHA512: 70e535dc28689d3d21d4cf750a0b090943402e85fbab73eecc7c46bee77cf2184873c6130a2d0a96a47781c7eff880022e46449eddb24931ab3d25b4798bcaa2
Homepage: https://cran.r-project.org/package=DoE.multi.response
Description: CRAN Package 'DoE.multi.response' (Construct Multi-Response Experimental Designs)
 Construct multi-response experimental designs, such as a Unique Factor
 Central Composite Design (UF-CCD), given information (from screening or
 expert knowledge) about which factors are related to each response variable
 (Wilmina M. Marget & Max D. Morris, 2019
 <doi:10.1080/00401706.2018.1549102>).

Package: r-cran-doe.wrapper
Architecture: all
Version: 0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-frf2, r-cran-doe.base, r-cran-rsm, r-cran-lhs, r-cran-dicedesign, r-cran-algdesign
Suggests: r-cran-skpr
Filename: pool/dists/focal/main/r-cran-doe.wrapper_0.13-1.ca2004.1_all.deb
Size: 210036
MD5sum: e575cd6b3e76a55d9868f7c98f538f03
SHA1: 9243edbe7a60adb305edfe8eab67f9a1ede99bb3
SHA256: ba36f8119b47e2babaf9bd7d2272428a467a9684798bf5b0d3b61fb354d3162a
SHA512: b9c2161fea760a980f1a6977232c0eae22cb63f2d4a058d8c6cd460157304bf1d0b3c033506511338569e47faa2df67f2dacf221d6cae345f884f1607b155a72
Homepage: https://cran.r-project.org/package=DoE.wrapper
Description: CRAN Package 'DoE.wrapper' (Wrapper Package for Design of Experiments Functionality)
 Various kinds of designs for (industrial) experiments can be created. The
 package uses, and sometimes enhances, design generation routines from other
 packages.  So far, response surface designs from package 'rsm', Latin
 hypercube samples from packages 'lhs' and 'DiceDesign', and D-optimal
 designs from package 'AlgDesign' have been implemented.

Package: r-cran-doebioresearch
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-agricolae
Filename: pool/dists/focal/main/r-cran-doebioresearch_0.1.0-1.ca2004.1_all.deb
Size: 101388
MD5sum: 61238a57331ab64e715af01ead386d47
SHA1: 1a9d376d175826fce7a431a7e35aaf8dcb3e58f1
SHA256: 0a8946ca2f99f0af0c1477e0306cf358c63be9a21bf1c91e1f2a8049c37f1bec
SHA512: 5f335b24909f251cc9ec6a46bc133baf70f983e0f150fb7f779689d185a38b2a7b13076c14e34cd4fd68e48696cdb8b2348dc4a3acf789507d6377c4a455767e
Homepage: https://cran.r-project.org/package=doebioresearch
Description: CRAN Package 'doebioresearch' (Analysis of Design of Experiments for Biological Research)
 Performs analysis of popular experimental designs used in the field of
 biological research. The designs covered are completely randomized design,
 randomized complete block design, factorial completely randomized design,
 factorial randomized complete block design, split plot design, strip plot
 design and latin square design. The analysis include analysis of variance,
 coefficient of determination, normality test of residuals, standard error of
 mean, standard error of difference and multiple comparison test of means.
 The package has functions for transformation of data and yield data
 conversion. Some datasets are also added in order to facilitate examples.

Package: r-cran-doem
Architecture: all
Version: 0.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1486
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-doem_0.0.0.1-1.ca2004.1_all.deb
Size: 1471648
MD5sum: df60833b4384175d0a455894271971b0
SHA1: 7a51c1291578f7c0f14fef578df1f6ffdb9ae7df
SHA256: 6a63d2ec78b936ec9b1542b140c0f7a82e259af94eadd53a43ec33affd85dcc5
SHA512: f6072ad5e529a0361b514a6162db4b5672635e4f4ae1c74b47d86fc926ce15f61d339155c14873d6e7942541bc447264f7f43426d483ca5c507d9469e548b527
Homepage: https://cran.r-project.org/package=DOEM
Description: CRAN Package 'DOEM' (The Distributed Online Expectation Maximization Algorithms toSolve Parameters of Poisson Mixture Models)
 The distributed online expectation maximization algorithms are used to solve
 parameters of Poisson mixture models. The philosophy of the package is
 described in Guo, G. (2022) <doi:10.1080/02664763.2022.2053949>.

Package: r-cran-doex
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-doex_1.2-1.ca2004.1_all.deb
Size: 110900
MD5sum: 9ce8e01a8e1f273b5cf612d79941d6d7
SHA1: 91dc0173b2400e903a1b215fbdcdb91c03727b7a
SHA256: 16774ccf2e2551d38e629f7db1c32ccd222bb209c2b40fa0189b4ec08d17599d
SHA512: a5ece747fe145d7a0e60678bf5d953d99b0bfd75d4011644e7abd81951ecdcd39d9f84d57c1a212f8a00ce62502d63abf66abdcda8a0a82d50edd396b726741a
Homepage: https://cran.r-project.org/package=doex
Description: CRAN Package 'doex' (The One-Way Heteroscedastic ANOVA Tests)
 Contains the heteroscedastic ANOVA tests for normal and two-parameter
 exponential distributed populations. For normal distributions,
 Alexander-Govern test by Alexandern and Govern (1994) <doi:10.2307/1165140>,
 Alvandi et al. Generalized F test by Alvandi et al. (2012)
 <doi:10.1080/03610926.2011.573160>, Approximate F test by Asiribo and
 Gurland (1990) <doi:10.1080/03610929008830427>, Box F test by Box (1954)
 <doi:10.1214/aoms/1177728786>, Brown-Forsythe test by Brown and Forsythe
 (1974) <do:10.2307/1267501>, B2 test by Ozdemir and Kurt (2006)
 <http://sjam.selcuk.edu.tr/sjam/article/view/174>, Cochran F test by Cochran
 (1937) <https://www.jstor.org/stable/pdf/2984123.pdf>, Fiducial Approach
 test by Li et al. (2011) <doi:10.1016/j.csda.2010.12.009>, Generalized F
 test by Weerahandi (1995) <doi:10.2307/2532947>, Johansen F test by Johansen
 (1980) <doi:10.1093/biomet/67.1.85>, Modified Brown-Forsythe test by
 Mehrotra (1997) <doi:10.1080/03610919708813431>, Modified Welch test by
 Hartung et al.(2002) <doi:10.1007/s00362-002-0097-8>, One-Stage test by Chen
 and Chen (1998) <doi:10.1080/03610919808813501>, One-Stage Range test by
 Chen and Chen (2000) <doi:10.1080/01966324.2000.10737505>, Parametric
 Bootstrap test by Krishnamoorhty et al.(2007)
 <doi:10.1016/j.csda.2006.09.039>, Permutation F test by Berry and Mielke
 (2002) <doi:10.2466/pr0.2002.90.2.495>, Scott-Smith test by Scott and Smith
 (1971) <doi:10.2307/2346757>, Welch test by Welch(1951)
 <doi:10.2307/2332579>, and Welch-Aspin test by Aspin (1948)
 <doi:10.1093/biomet/35.1-2.88>. These tests are used to test the equality of
 group means under unequal variance. Also, a modified version of Generalized
 F-test is improved to test the equality of non-normal group means under
 unequal variances and a revised version of Generalized F-test is given to
 test the equality of non-normal group means caused by skewness. Furthermore,
 it consists some procedures for testing equality of several two-parameter
 exponentially distributed population means under unequal scale parameters
 such as generalized p-value, parametric bootstrap and fiducial approach test
 by Malekzadeh and Jafari (2019) <doi:10.1080/03610918.2018.1538452>. There
 is also Hsieh test by Hsieh (1986) <doi:10.2307/1270452> for testing
 equality of location parameters of two-parameter exponentially distributed
 populations under unequal scale parameters.

Package: r-cran-dofuture
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-foreach, r-cran-future, r-cran-future.apply, r-cran-globals, r-cran-iterators
Suggests: r-cran-dorng, r-cran-markdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-dofuture_1.1.1-1.ca2004.1_all.deb
Size: 165980
MD5sum: 417ec69ebe8ed5b12663b0f5ffc58f79
SHA1: 89f13d3c697e684abbbd4c2789f9b46b40ffa47f
SHA256: 924fbcca8c7762ed6b9014906f33ad97c6240060356c44f8264cb9b052662d8d
SHA512: c56fb1f3575e2ef555a4c9e2986ae759b4fd167783bf2c6da694671bf84ccadd2b34460b950063874b02b239b8cc0edb191d2cff523d45e8e511e83def93b4de
Homepage: https://cran.r-project.org/package=doFuture
Description: CRAN Package 'doFuture' (Use Foreach to Parallelize via the Future Framework)
 The 'future' package provides a unifying parallelization framework for R
 that supports many parallel and distributed backends
 <doi:10.32614/RJ-2021-048>. The 'foreach' package provides a powerful API
 for iterating over an R expression in parallel. The 'doFuture' package
 brings the best of the two together. There are two alternative ways to use
 this package. The recommended approach is to use 'y <- foreach(...)
 %dofuture% { ... }', which does not require using 'registerDoFuture()' and
 has many advantages over '%dopar%'. The alternative is the traditional
 'foreach' approach by registering the 'foreach' adapter 'registerDoFuture()'
 and so that 'y <- foreach(...) %dopar% { ... }' runs in parallelizes with
 the 'future' framework.

Package: r-cran-dogesr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-knitr, r-cran-igraph, r-cran-qpdf, r-cran-rmarkdown
Suggests: r-cran-testthat, r-cran-devtools, r-cran-tidyr, r-cran-networkd3, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dogesr_0.5.2-1.ca2004.1_all.deb
Size: 265300
MD5sum: 4584a6bb93386bd88d17ff837c68a64b
SHA1: 82f77a69b26ccdb1beb5d36a83dae42844e318d3
SHA256: 892ac3dc2ed13547124cf56b4785b67d7908f874addcaa7712802bf8ee98cdfa
SHA512: 4a5a36d82237878ca00601248338aeba191881b15c2d6ea7e91ebbe291335fab845370b49df0e43f638a4c8982f24931f742a65d5ce669c9307dcbc9063692c9
Homepage: https://cran.r-project.org/package=dogesr
Description: CRAN Package 'dogesr' (Work with the Doges/Dogaresse Dataset)
 Work with data on Venetian doges and dogaresse and the noble families of the
 Republic of Venice, and use it for social network analysis, as used in
 Merelo (2022) <doi:10.48550/arXiv.2209.07334>.

Package: r-cran-dogoftest
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dogoftest_0.2-1.ca2004.1_all.deb
Size: 73744
MD5sum: 5db916032ea96198c669253686c6c29a
SHA1: 179e3a5a9ca6f2af1949d1b915432c547d466e4c
SHA256: 1ad45e1748a9f2bb9b487cb36c958c30051a99f7ed50f83bd57503f67721f235
SHA512: 204a2ad83f842c92954ceb8e7697f78f967d8cb41d6341f05483081fd96e1b0bf4984330d812865ef16ba6fe36fd40fc424be53afac4ad6512bdf5c4069fc872
Homepage: https://cran.r-project.org/package=Dogoftest
Description: CRAN Package 'Dogoftest' (Distributed Online Goodness-of-Fit Tests for DistributedDatasets)
 Distributed Online Goodness-of-Fit Test can process the distributed
 datasets. The philosophy of the package is described in Guo G.(2024)
 <doi:10.1016/j.apm.2024.115709>.

Package: r-cran-dola
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3872
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml, r-cran-stringr, r-cran-knitr, r-cran-dplyr, r-cran-reshape2, r-cran-openxlsx, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dola_0.1.0-1.ca2004.1_all.deb
Size: 3551220
MD5sum: b8fc9527bcaff5a4956e4fc9161925da
SHA1: f610affebedd36aa1ae36137dedee9bc10ef51be
SHA256: 20e1ac37f541e571b47461abd357b58c196da794c9590b65d95feabbb479b259
SHA512: e6cfa3c6e8acfcaa5967e0a011c42d7948f35f37536faa816b6d3174e78b41c5e23cb9de7d4ea1b6fb85d19d513c01529e7bf74642326668a2510037302503d2
Homepage: https://cran.r-project.org/package=DoLa
Description: CRAN Package 'DoLa' (Do Currículo Lattes Para o Programa de Pós-Graduação)
 Managing postgraduate programmes involves extracting information from Lattes
 CVs. This information can be used for strategic planning and
 self-evaluation, as well as for producing reports on the Sucupira Platform.
 Summary reports are produced for each period and course (specialisation,
 master's and doctorate), showing bibliographic production with and without
 student participation, as well as papers at events, technical or
 technological production, ongoing and completed supervision, research
 projects, exchanges (visiting professor, postdoctoral or short-term leave),
 awards and general activity indicators. Based on this information, a
 detailed report is then drawn up for each lecturer, taking into account
 their participation in exam boards, their research project contributions,
 their technical collaborations (e.g. advisory committee, editorial board)
 and the subjects they teach. For more details see Pagliosa and Nascimento
 (2021)
 <https://repositorio.ufsc.br/bitstream/handle/123456789/231602/ManualLattesGeociencias11_2021_versaobeta%20%281%29.pdf?sequence=1&isAllowed=y>.

Package: r-cran-domc
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-domc_1.3.8-1.ca2004.1_all.deb
Size: 166372
MD5sum: 8b18eea1a1b5fa7bb4067043fb3f1882
SHA1: f509b87dfde619d1554650b66dbe45a5ca521153
SHA256: 52f176fb8be3f507275f911f68b8180fe8a350e83ac931bea34e49d207809196
SHA512: 933c8acd6d2410923f8037fdd679533d82910e92024a67ba03cecc70dd41504103a211428408e4e889896ace11c5bad7f319aa04e4433f165c45077781e295e6
Homepage: https://cran.r-project.org/package=doMC
Description: CRAN Package 'doMC' (Foreach Parallel Adaptor for 'parallel')
 Provides a parallel backend for the %dopar% function using the multicore
 functionality of the parallel package.

Package: r-cran-domean
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-domean_0.1-1.ca2004.1_all.deb
Size: 40772
MD5sum: 104c3b7a9f25f00415503dfdfbd66fdc
SHA1: 9d08da2bac7415978edcc3cb32798f7a99295790
SHA256: ef7012ba8eecc1a0288cd0a01bf6c46cb100b4f57b226ad043c7d36c7038d7c8
SHA512: 5e99100ed97fb47b4df45ee360c74f6e503b926edc0f9775a0d956982619b820206d2ddd03a67f8de21cd7b687358d38bf83f731cfdd15d17e8924ca8aa0bbf6
Homepage: https://cran.r-project.org/package=Domean
Description: CRAN Package 'Domean' (Distributed Online Mean Tests)
 Distributed Online Mean Tests is a powerful tool designed to efficiently
 process and analyze distributed datasets. It enables users to perform mean
 tests in an online, distributed manner, making it highly suitable for
 large-scale data analysis. By leveraging advanced computational techniques,
 'Domean' ensures robust and scalable solutions for statistical analysis,
 particularly in scenarios where data is dispersed across multiple nodes or
 sources. This package is ideal for researchers and practitioners working
 with high-dimensional data, providing a flexible and efficient framework for
 mean testing. The philosophy of 'Domean' is described in Guo G.(2025)
 <doi:10.1016/j.physa.2024.130308>.

Package: r-cran-dominance
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-chron
Suggests: r-cran-xlconnect, r-cran-openxlsx, r-cran-rcmdrmisc
Filename: pool/dists/focal/main/r-cran-dominance_1.2.0-1.ca2004.1_all.deb
Size: 105968
MD5sum: cde6394d2ee0a4392e8149f74271fe46
SHA1: 1e5ae902210bb853046aa8108fa5b8886d79ae19
SHA256: 5ccfa0b925689ac3e5f276475873c14e26d8f5ee595c03b91ca6353ba6c5d4cd
SHA512: d71da63030f9dce3e9afd75387983a1daaedafbc3021c667afb86ae9d499eca4e80bdddf84720cd3ad27a8909a9c9ca3ce8be6b67295cff70b81f9ec34a61d18
Homepage: https://cran.r-project.org/package=Dominance
Description: CRAN Package 'Dominance' (Calculate and Visualize Dominance Hierarchies)
 Functions to calculate ADI (Average Dominance Index) and FDI
 (Frequency-Based Dominance Index). Functions to visualize the Data with
 Social Network Graphs with Dual Directions and Music Notation Graph.
 'XLConnect' or 'openxlsx' or 'RcmdrMisc' is only necessary for comfortable
 Excel file handling.  See ADI-FDI Hemelrijk et al. (2005)
 <doi:10.1163/156853905774405290> de Vries et al.  (2009)
 <doi:10.1163/156853909X412241> Musicnotition: Chase (2006)
 <doi:10.1186/1742-9994-3-18>.

Package: r-cran-dominanceanalysis
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-lme4, r-cran-boot, r-cran-testthat, r-cran-car, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-pscl, r-cran-dynlm, r-cran-reshape2, r-cran-betareg, r-cran-performance
Filename: pool/dists/focal/main/r-cran-dominanceanalysis_2.1.0-1.ca2004.1_all.deb
Size: 349016
MD5sum: 4caa4b7dadffbd91bad3cf68c9b6aaf0
SHA1: 1e15409d8db059573689020ae9f110d24889a937
SHA256: d443ee848f2543075ad4dda615e21420df280b7caa1ae83a839dc56bee439ce4
SHA512: cd606acc72402db32f88c7138503c3d8e15cdf57ad5e28c1440b2895d34bd1648fe7edfdeb8a9e3716884b56c2a97473c078970f765bf593366d801bf325d68c
Homepage: https://cran.r-project.org/package=dominanceanalysis
Description: CRAN Package 'dominanceanalysis' (Dominance Analysis)
 Dominance analysis is a method that allows to compare the relative
 importance of predictors in multiple regression models: ordinary least
 squares, generalized linear models, hierarchical linear models, beta
 regression and dynamic linear models.  The main principles and methods of
 dominance analysis are described in Budescu, D. V. (1993)
 <doi:10.1037/0033-2909.114.3.542> and Azen, R., & Budescu, D. V. (2003)
 <doi:10.1037/1082-989X.8.2.129> for ordinary least squares regression.
 Subsequently, the extensions for multivariate regression, logistic
 regression and hierarchical linear models were described in Azen, R., &
 Budescu, D. V. (2006) <doi:10.3102/10769986031002157>, Azen, R., & Traxel,
 N. (2009) <doi:10.3102/1076998609332754> and Luo, W., & Azen, R. (2013)
 <doi:10.3102/1076998612458319>, respectively.

Package: r-cran-domino
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-domino_0.3.1-1.ca2004.1_all.deb
Size: 42580
MD5sum: f8e7875a485b6412c6c13fe66c11f7da
SHA1: 660adade790878d2d58b9b5a8af7ac8e2d685718
SHA256: 6542b766e7e7050c617c906e39f8427a8d8c06b5a51b4f0724406f1142137aa5
SHA512: 724fd6b621266092617216cba34c98bcf3b74ef20d40266708a92faac3d3353ac9a89de028cd93221e945671f6fb4212b4b1e7173f7dcbc0b61ac77561af0665
Homepage: https://cran.r-project.org/package=domino
Description: CRAN Package 'domino' (R Console Bindings for the 'Domino Command-Line Client')
 A wrapper on top of the 'Domino Command-Line Client'. It lets you run
 'Domino' commands (e.g., "run", "upload", "download") directly from your R
 environment. Under the hood, it uses R's system function to run the 'Domino'
 executable, which must be installed as a prerequisite. 'Domino' is a service
 that makes it easy to run your code on scalable hardware, with integrated
 version control and collaboration features designed for analytical workflows
 (see <http://www.dominodatalab.com> for more information).

Package: r-cran-dominodatacapture
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-uuid, r-cran-lgr
Suggests: r-cran-covr, r-cran-dt, r-cran-lintr, r-cran-testthat, r-cran-spelling, r-cran-rhub, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-dominodatacapture_0.1.1-1.ca2004.1_all.deb
Size: 116012
MD5sum: b2d2373f69b06ef56c3a9b6488636aa6
SHA1: ff9e09e0ba17176da76ce605c5e5fe17cdfb3102
SHA256: 25800aa95c92d0ff4dc1f1afef659ce87a1584b6d65734aa5b61c83848aa7af9
SHA512: d74127d992b2ccf06c6e6c0f7e14a3c66a35abe6e35534040c52320e5b61bfae968510f286b31a58212e1e225ff87b0dfa58f57ba626063a9d79240c57449a0c
Homepage: https://cran.r-project.org/package=DominoDataCapture
Description: CRAN Package 'DominoDataCapture' (Domino Data Capture)
 Instrument prediction code that lets you capture inputs to the model,
 predictions, prediction properties, and other metadata.

Package: r-cran-dominodatar
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arrow, r-cran-configparser, r-cran-httr, r-cran-reticulate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dominodatar_0.2.3-1.ca2004.1_all.deb
Size: 43292
MD5sum: ba8cd2c21156bcf883afa40c3364cee5
SHA1: 9f9d359360071e1490dda6306c521c05ea356ae4
SHA256: bf28496beafd69a783b2476628b792f5e65cef6856bdbe889cc74df612249a9c
SHA512: 10d2f107366644f97cd3bd11b9b5c461b5eadcf102b134f7d504e2880f448f1249d317c4de5eaa2164b68d5aaa9672a094224b2639cfe10a5c64a497f177a0cf
Homepage: https://cran.r-project.org/package=DominoDataR
Description: CRAN Package 'DominoDataR' ('Domino Data R SDK')
 A wrapper on top of the 'Domino Data Python SDK' library. It lets you query
 and access 'Domino Data Sources' directly from your R environment.  Under
 the hood, 'Domino Data R SDK' leverages the API provided by the 'Domino Data
 Python SDK', which must be installed as a prerequisite.  'Domino' is a
 platform that makes it easy to run your code on scalable hardware, with
 integrated version control and collaboration features designed for
 analytical workflows. See
 <https://docs.dominodatalab.com/en/latest/api_guide/140b48/domino-data-api>
 for more information.

Package: r-cran-domir
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-dominanceanalysis, r-cran-forcats, r-cran-formula, r-cran-ggplot2, r-cran-knitr, r-cran-lme4, r-cran-parameters, r-cran-performance, r-cran-pscl, r-cran-purrr, r-cran-relaimpo, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-systemfit, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-domir_1.2.0-1.ca2004.1_all.deb
Size: 1039072
MD5sum: ece391f4bb67139f5efa4486b563287a
SHA1: f3c26155281f5248bf17c55cbba1e79d860155a9
SHA256: 64f07e134756925ec601fb8b0ddbc948827aacd47208a519ddaa4637d8e3f174
SHA512: 8e26515bfa47459e405fc78464926a3df814dccc4c877ed9c66d979ca0f71d2b35fa83982c8b40dd2ae102f452104890df6bd3c48d03e4d98998a1024ac8671d
Homepage: https://cran.r-project.org/package=domir
Description: CRAN Package 'domir' (Tools to Support Relative Importance Analysis)
 Methods to apply decomposition-based relative importance analysis for R
 functions. This package supports the application of decomposition methods by
 providing 'lapply'- or 'Map'-like meta-functions that compute dominance
 analysis (Azen, R., & Budescu, D. V. (2003) <doi:10.1037/1082-989X.8.2.129>;
 Grömping, U. (2007) <doi:10.1198/000313007X188252>) an extension of Shapley
 value regression (Lipovetsky, S., & Conklin, M. (2001)
 <doi:10.1002/asmb.446>) based on the values returned from other functions.

Package: r-cran-domisaul
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aricode, r-cran-arules, r-cran-clustercrit, r-cran-dplyr, r-cran-ggplot2, r-cran-gmedian, r-cran-mass, r-cran-mice, r-cran-nbclust, r-cran-ncvreg, r-cran-plyr, r-cran-scales, r-cran-survival, r-cran-withr
Suggests: r-cran-censreg, r-cran-cluster, r-cran-clustmixtype, r-cran-cpe, r-cran-dbscan, r-cran-e1071, r-cran-ggpubr, r-cran-hmisc, r-cran-igraph, r-cran-mclust, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-testthat, r-cran-timeroc, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-domisaul_1.0.1-1.ca2004.1_all.deb
Size: 423284
MD5sum: 8a1e60d287316ce3d65ac358d27d7574
SHA1: baf311ff707dabaaf0655c48f94486166b1e8d30
SHA256: 1f64561c5e0d995351011c4db3e6bfaacc39135f141d285bfb02b6b39df376cf
SHA512: 1c2616de0abaf862388e7cdb75d613a2bce22ebbe892555ac3ab10cd027f42219c764880c51f9732ca8efacec35dceeb629121bb534f2acf438e43a9bfa96c54
Homepage: https://cran.r-project.org/package=doMIsaul
Description: CRAN Package 'doMIsaul' (Do Multiple Imputation-Based Semi-Supervised and UnsupervisedLearning)
 Algorithms for (i) unsupervised learning for dataset with missing data
 and/or left-censored data, using multiple imputation and consensus
 clustering ; (ii) semi-supervised learning with a survival endpoint
 (right-censored) for complete or incomplete datasets, using multiple
 imputation and consensus clustering in the latter case. The methods are
 described in Faucheux et al. (2021) <doi:10.1002/bimj.201900366> and
 Faucheux et al. (2021) <doi:10.1002/bimj.202000365>, respectively.

Package: r-cran-dompi
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-iterators, r-cran-rmpi
Suggests: r-cran-randomforest, r-cran-itertools
Filename: pool/dists/focal/main/r-cran-dompi_0.2.2-1.ca2004.1_all.deb
Size: 287496
MD5sum: c800dece3f4d9b413dd062f28065373f
SHA1: a748cacf798fc119e9176a2711281bc5db230c43
SHA256: 70701c741d6fdfd201e463c7f0696bff7fe184d5c6c6de5d6694f0171ed85939
SHA512: 0fd76738ae9afba26cddb110b63032d463b2b7e46675fb6d7f6b98014f329ce8c8534668ca8c8d953e257865e32ec745ce15a8917c99510e3a162bdf6cde8cb5
Homepage: https://cran.r-project.org/package=doMPI
Description: CRAN Package 'doMPI' (Foreach Parallel Adaptor for the Rmpi Package)
 Provides a parallel backend for the %dopar% function using the Rmpi package.

Package: r-cran-donut
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-nabor, r-cran-rann, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-donut_1.0.3-1.ca2004.1_all.deb
Size: 57744
MD5sum: a210667d6e9eb6a91b609eb5a8cce6de
SHA1: 5b1eaedd783c127ff3ff04f00372866cfe81e097
SHA256: 6fc25b588206b1271e93bfb70205a7a48d5024145a3184017186b6139f8cd35b
SHA512: 9910c9d23fc51ac4aa215b26a2fcdbcdabe126b8d6cc42efbf1dd35fceaf1070bef02fd5bd9a7cca0777874520066f4b8adcf38fa0240e0400ee0eda72bcdfac
Homepage: https://cran.r-project.org/package=donut
Description: CRAN Package 'donut' (Nearest Neighbour Search with Variables on a Torus)
 Finds the k nearest neighbours in a dataset of specified points, adding the
 option to wrap certain variables on a torus.  The user chooses the algorithm
 to use to find the nearest neighbours. Two such algorithms, provided by the
 packages 'RANN' <https://cran.r-project.org/package=RANN>, and 'nabor'
 <https://cran.r-project.org/package=nabor>, are suggested.

Package: r-cran-donutsk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1604
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-glue, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-stringr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-donutsk_0.1.1-1.ca2004.1_all.deb
Size: 1248000
MD5sum: 1f787a154fa93c85cc1ca17f6e55a456
SHA1: 80f62b3303a17e4a1b84732d6b5497ffd2bfdcc3
SHA256: d41084a9b52ae276dd0c5a4766fd669c19f2798ffd059a10b8289d3dda72ea90
SHA512: 1397242cd796390cd5a14cdad6d5cc9bd415e606968641a8b97625c6af41a9f4efd5f439c1739a9c15439eff272877ae3708973ecaf4ddecbce839c84de678ad
Homepage: https://cran.r-project.org/package=donutsk
Description: CRAN Package 'donutsk' (Construct Advanced Donut Charts)
 Build donut/pie charts with 'ggplot2' layer by layer, exploiting the
 advantages of polar symmetry. Leverage layouts to distribute labels
 effectively. Connect labels to donut segments using pins. Streamline
 annotation and highlighting.

Package: r-cran-doofa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lpsolve, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-doofa_1.0-1.ca2004.1_all.deb
Size: 39880
MD5sum: 548f55b3036f1fca4ec4bf5ca79aec13
SHA1: c2f0567557254c8b302f441a211bcb36623559db
SHA256: 39096be061c29395ffd06ffa4549ec30f4e0288beb83e994f78ad831d9077bae
SHA512: 9e2ed35655117af040819921fc4ac2d6ab3fac0c29011393fe7b701a561df7b532b3b7aa6b6f63dd310059e839c5c5488ee29488d6bd990e735273e2db5a402c
Homepage: https://cran.r-project.org/package=doofa
Description: CRAN Package 'doofa' (Designs for Order-of-Addition Experiments)
 A facility to generate efficient designs for order-of-additions experiments
 under pair-wise-order model, see Dennis K. J. Lin and Jiayu Peng
 (2019)."Order-of-addition experiments: A review and some new thoughts".
 Quality Engineering, 31:1, 49-59, <doi:10.1080/08982112.2018.1548021>. It
 also provides a facility to generate component orthogonal arrays under
 component position model, see Jian-Feng Yang, Fasheng Sun & Hongquan Xu
 (2020): "A Component Position Model, Analysis and Design for
 Order-of-Addition Experiments". Technometrics,
 <doi:10.1080/00401706.2020.1764394>.

Package: r-cran-doolkit
Architecture: all
Version: 1.42.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6622
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-morpho, r-cran-rgl, r-cran-rvcg, r-cran-sp, r-cran-mass, r-cran-tis, r-cran-concaveman, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-doolkit_1.42.2-1.ca2004.1_all.deb
Size: 3165264
MD5sum: 82c3070824ed4e27b1295cffc879438c
SHA1: 70a3efe9c1fae8b75cbb020843b1a8aa8b165356
SHA256: 811067eb3a502709d64c545c7467eb699c2b82b857d57ac0a79f4d358d2cf85d
SHA512: 9ebddb1772c926caed001a875f8dc8d05e9780b64fca1cd33d86daa8fc6733479417314c2580272a34c389421d264f256dd07cd042a1463cb8164b2f13f4db2b
Homepage: https://cran.r-project.org/package=doolkit
Description: CRAN Package 'doolkit' (Exploration of Dental Surface Topography)
 Tools for exploring the topography of 3d triangle meshes.  The functions
 were developed with dental surfaces in mind, but could be applied to any
 triangle mesh of class 'mesh3d'. More specifically, 'doolkit' allows to
 isolate the border of a mesh, or a subpart of the mesh using the polygon
 networks method; crop a mesh; compute basic descriptors (elevation,
 orientation, footprint area); compute slope, angularity and relief index
 (Ungar and Williamson (2000)
 <https://palaeo-electronica.org/2000_1/gorilla/issue1_00.htm>; Boyer (2008)
 <doi:10.1016/j.jhevol.2008.08.002>), inclination and occlusal relief index
 or gamma (Guy et al. (2013) <doi:10.1371/journal.pone.0066142>), OPC (Evans
 et al. (2007) <doi:10.1038/nature05433>), OPCR (Wilson et al.  (2012)
 <doi:10.1038/nature10880>), DNE (Bunn et al. (2011)
 <doi:10.1002/ajpa.21489>; Pampush et al. (2016)
 <doi:10.1007/s10914-016-9326-0>), form factor (Horton (1932)
 <doi:10.1029/TR013i001p00350>), basin elongation (Schum (1956)
 <doi:10.1130/0016-7606(1956)67[597:EODSAS]2.0.CO;2>), lemniscate ratio
 (Chorley et al; (1957) <doi:10.2475/ajs.255.2.138>), enamel-dentine distance
 (Guy et al. (2015) <doi:10.1371/journal.pone.0138802>; Thiery et al. (2017)
 <doi:10.3389/fphys.2017.00524>), absolute crown strength (Schwartz et al.
 (2020) <doi:10.1098/rsbl.2019.0671>), relief rate (Thiery et al. (2019)
 <doi:10.1002/ajpa.23916>) and area-relative curvature; draw cumulative
 profiles of a topographic variable; and map a variable over a 3d triangle
 mesh.

Package: r-cran-door
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-forestplot, r-cran-scales, r-cran-labeling
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-door_0.0.1-1.ca2004.1_all.deb
Size: 191484
MD5sum: 08be99a15bef9ae169f330cd05603aa2
SHA1: 7908e071acb8aaca4a28573c05a39f4ea4d15bb2
SHA256: d5377fec86c847791d03f0eaa12e9f124947673f96966347b411fa5724086d9f
SHA512: db42845548ce1b5891622cbf4b5f4cef7f1ddd54a7632dcfae33070bf0b1df0e035c976106591e7557b8027f5dc4e9b99c9c29d472c735b01a6d05e2fea43131
Homepage: https://cran.r-project.org/package=door
Description: CRAN Package 'door' (Design of Clinical Trials with the Desirability of OutcomeRanking Methodology)
 Statistical methods and related graphical representations for the
 Desirability of Outcome Ranking (DOOR) methodology. The DOOR is a paradigm
 for the design, analysis, interpretation of clinical trials and other
 research studies based on the patient centric benefit risk evaluation. The
 package provides functions for generating summary statistics from individual
 level/summary level datasets, conduct DOOR probability-based inference, and
 visualization of the results. For more details of DOOR methodology, see
 "Handbook of Generalized Pairwise Comparisons", Chapter 13
 <doi:10.1201/9781003390855>. For more explanation of the statistical methods
 and the graphics, see the technical document and user manual of the DOOR
 'Shiny' apps at <https://methods.bsc.gwu.edu>.

Package: r-cran-doparabar
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-parabar, r-cran-foreach, r-cran-iterators
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-doparabar_1.0.2-1.ca2004.1_all.deb
Size: 370572
MD5sum: 4289594a7ddf358cf314c0cca4fc4407
SHA1: 9cb0f8aa833a1cabac0283f3244f70447dada747
SHA256: 982137a32b8f0bc458045e021bda28d6e7c06fa4e85a46a1d352fd6e053dad4f
SHA512: dba74211680d78d8050a3001b6809ddfadec0977a4e86a8cf8cdc06bffdf18567f15e56781032d7ba75adf9acc246b49df382a6026faa6af284bd61c70810afc
Homepage: https://cran.r-project.org/package=doParabar
Description: CRAN Package 'doParabar' ('foreach' Parallel Adapter for 'parabar' Backends)
 Provides a 'foreach' parallel adapter for 'parabar' backends. This package
 offers a minimal implementation of the '%dopar%' operator, enabling users to
 run 'foreach' loops in parallel, leveraging the parallel and
 progress-tracking capabilities of the 'parabar' package. Learn more about
 'parabar' and 'doParabar' at <https://parabar.mihaiconstantin.com>.

Package: r-cran-doparallel
Architecture: all
Version: 1.0.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-iterators
Suggests: r-cran-caret, r-cran-mlbench, r-cran-rpart, r-cran-runit
Filename: pool/dists/focal/main/r-cran-doparallel_1.0.17-1.ca2004.1_all.deb
Size: 186304
MD5sum: 79d253ad3df5285d3f4d4cf2c2b74a52
SHA1: 3656544e3296b9ed2ae01e9905763145e46aa078
SHA256: 07b8ac9be6daa521d0509404601d6ff3d7effd3d9dd92d3c0b52a17cdec77b41
SHA512: a0088454bb8c0b3f3b56d444d222a52fa4f5560550ae39f14b91fefb2c78cf61ca2194225ec9135720da93b17747db1eaa8cf365942263e64108d197acfed69c
Homepage: https://cran.r-project.org/package=doParallel
Description: CRAN Package 'doParallel' (Foreach Parallel Adaptor for the 'parallel' Package)
 Provides a parallel backend for the %dopar% function using the parallel
 package.

Package: r-cran-dope
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidytext
Suggests: r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-conflicted, r-cran-readr, r-cran-rvest, r-cran-sqldf, r-cran-tidyr, r-cran-testthat, r-cran-usethis, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-dope_2.1.0-1.ca2004.1_all.deb
Size: 2398944
MD5sum: a5da8fc262e18cfa077352d20ef58777
SHA1: 5bdf004445fd078113e09db1755624a53230b77d
SHA256: c814b21a896dcbdf03f7a9988607977d0001d80ba7535e6f7ba3846e9c7decbe
SHA512: 6bbf1f635f533ad9470c2d7f199a48e190bebc0ed803eed40e17825150cf728913a06b14aa38a27e5dc950503c08b1d182452c079e6e6cd9a87cfb6d573cfa7d
Homepage: https://cran.r-project.org/package=DOPE
Description: CRAN Package 'DOPE' (Drug Ontology Parsing Engine)
 Provides information on drug names (brand, generic and street) for drugs
 tracked by the DEA. There are functions that will search synonyms and return
 the drug names and types. The vignettes have extensive information on the
 work done to create the data for the package.

Package: r-cran-doremi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-data.table, r-cran-lme4, r-cran-ggplot2, r-cran-gridextra, r-cran-lmertest, r-cran-desolve, r-cran-futile.logger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-doremi_1.0.0-1.ca2004.1_all.deb
Size: 693584
MD5sum: 431cfb274415e034e457dd2beff30b98
SHA1: 164502972009f2665c32023b66804a5491dfca09
SHA256: fef1ea69ecc7e82f50c0b1785bbeea61070be61053873bdcee6d4f9b4faa4c07
SHA512: f9208f6d8434fe8d697a9ad65853044b1f439a6ad1d55ea85fde82c91e14cd17e57bb4008cb98a6770d4966f6e46573268ec349bd96df3646fda17910d6e04da
Homepage: https://cran.r-project.org/package=doremi
Description: CRAN Package 'doremi' (Dynamics of Return to Equilibrium During Multiple Inputs)
 Provides models to fit the dynamics of a regulated system experiencing
 exogenous inputs.  The underlying models use differential equations and
 linear mixed-effects regressions to estimate the coefficients of the
 equation. With them, the functions can provide an estimated signal.  The
 package provides simulation and analysis functions and also print, summary,
 plot and predict methods, adapted to the function outputs, for easy
 implementation and presentation of results.

Package: r-cran-dorng
Architecture: all
Version: 1.8.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-rngtools, r-cran-iterators
Suggests: r-cran-doparallel, r-cran-dompi, r-cran-doredis, r-cran-rbenchmark, r-cran-devtools, r-cran-knitr, r-cran-rbibutils, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dorng_1.8.6.2-1.ca2004.1_all.deb
Size: 41972
MD5sum: 1b5d7e13c3f8af61351ce4473df30c81
SHA1: 9b8ad9b92827f827eb47694fbd76c6bb2c2e95a4
SHA256: b3e75e267ec3188579b40a754ada8ff09f0eaa45d681e9eb7621f86a654ed95d
SHA512: e9a014cd8dd9eecbde6b970890267dc2e55169c64ef008941233338ecc3d32597ab46400cfdc385a94c616bdeafb7a296764d0f6bffa1ce716f2b64f5c406ae7
Homepage: https://cran.r-project.org/package=doRNG
Description: CRAN Package 'doRNG' (Generic Reproducible Parallel Backend for 'foreach' Loops)
 Provides functions to perform reproducible parallel foreach loops, using
 independent random streams as generated by L'Ecuyer's combined
 multiple-recursive generator [L'Ecuyer (1999), <DOI:10.1287/opre.47.1.159>].
 It enables to easily convert standard '%dopar%' loops into fully
 reproducible loops, independently of the number of workers, the task
 scheduling strategy, or the chosen parallel environment and associated
 foreach backend.

Package: r-cran-dos2
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-sensitivity2x2xk, r-cran-sensitivitymult, r-cran-sensitivitymv, r-cran-senstrat
Suggests: r-cran-optmatch
Filename: pool/dists/focal/main/r-cran-dos2_0.5.2-1.ca2004.1_all.deb
Size: 329868
MD5sum: b38061d51dc81c961698fea65801264d
SHA1: af7a29222e1e34aa5893f0793526f6ba51a87f7e
SHA256: e16d723b82e20c9b8988b8437acc7dcb21c19b90792ff4457cf956e4ca4f3045
SHA512: aa48391d2e8a068f4bbd01e62066dc1658492a7ca5118c27baf6ff066891565711f14d57f9091eab70b2594c99759d58a6df72b39d3995628903158193e84745
Homepage: https://cran.r-project.org/package=DOS2
Description: CRAN Package 'DOS2' (Design of Observational Studies, Companion to the Second Edition)
 Contains data sets, examples and software from the Second Edition of "Design
 of Observational Studies"; see Rosenbaum, P.R. (2010)
 <doi:10.1007/978-1-4419-1213-8>.

Package: r-cran-dos
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-optmatch
Filename: pool/dists/focal/main/r-cran-dos_1.0.0-1.ca2004.1_all.deb
Size: 132848
MD5sum: 74196467cb640044f7068cfa4fd13420
SHA1: 6047106188856efdc4034d6dfab6c09804b7e77f
SHA256: ff7e1f5dfcc384cefc34e37a665dc6e3152e33e7aec6765a86631dccdbc5403a
SHA512: 741f8fb2d49c730227f51a00163b21f20334156bc37a786d89cc9acde66f6430b13def6f6c146aa8b084bd2b55e5f2c4b5612a2bd81e70edc400f42fdd9a5902
Homepage: https://cran.r-project.org/package=DOS
Description: CRAN Package 'DOS' (Design of Observational Studies)
 Contains data sets, examples and software from the book Design of
 Observational Studies by Paul R. Rosenbaum, New York: Springer,
 <doi:10.1007/978-1-4419-1213-8>, ISBN 978-1-4419-1212-1.

Package: r-cran-dosedesignr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 956
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-latticeextra, r-cran-ggplot2, r-cran-shinyjs, r-cran-purrr, r-cran-stringr, r-cran-shinywidgets, r-cran-dosefinding, r-cran-shinybs, r-cran-readxl, r-cran-knitr, r-cran-kableextra, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-dosedesignr_0.3.0-1.ca2004.1_all.deb
Size: 417884
MD5sum: 216cf305fccd25e0472614292171c998
SHA1: 4cff40d709ff19a2fae49f83f2ea0875997331d1
SHA256: 5de010258257863fe3fbc414e264d873e7b44371ccb4b90b591d0b26752226d7
SHA512: 85a8e3c0d0626c1b0f195e624527604574541095811fa45315d8b3be213723906333270415df47f9b7d9d78132f7c31baef7e1cf0e7491ffef139ebbf9ea6cc1
Homepage: https://cran.r-project.org/package=dosedesignR
Description: CRAN Package 'dosedesignR' (Interactive Designing of Dose Finding Studies)
 Provides the user with an interactive application which can be used to
 facilitate the planning of dose finding studies by applying the theory of
 optimal experimental design.

Package: r-cran-doseminer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-doseminer_0.1.2-1.ca2004.1_all.deb
Size: 109588
MD5sum: da3efea61d1efe5921d376b0e471bbd9
SHA1: b3e52590762f657779dc9e08f97e4daf44557240
SHA256: 43b61f0306350379a9d119d70b42481e04cf3ce543b319b13342d0e8f0527f3b
SHA512: bcc2ffb39f6b8f8f5007190b2fcd55ddf946d3b5acc779b22cc611a8eba9d663460c5943cf522b705be8baacb56a2ba9e4f5ad2cbbfd39d0f5c8e600aefa0847
Homepage: https://cran.r-project.org/package=doseminer
Description: CRAN Package 'doseminer' (Extract Drug Dosages from Free-Text Prescriptions)
 Utilities for converting unstructured electronic prescribing instructions
 into structured medication data. Extracts drug dose, units, daily dosing
 frequency and intervals from English-language prescriptions. Based on
 Karystianis et al. (2015) <doi:10.1186/s12911-016-0255-x>.

Package: r-cran-dosesens
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-dosesens_0.1.0-1.ca2004.1_all.deb
Size: 86200
MD5sum: 4cd872f093aebedd6a09c410b791ca9c
SHA1: 291ea0910b411a3108b50f3c3c0f536d9e1ac470
SHA256: 37c1e1dd571f252bd479a8cd5fc6302d13256507d2e9326e22747010d1de2d9c
SHA512: 41cb27cdfcd87548a608b54a43c74e7ee3c80d44bebb27d941ee66247b7d802692490449fe47bf7e10653e0546614c44bf0e9b64afe89ce3988b591144df7dad
Homepage: https://cran.r-project.org/package=doseSens
Description: CRAN Package 'doseSens' (Conduct Sensitivity Analysis with Continuous Exposures andBinary Outcomes)
 Performs sensitivity analysis for the sharp null and attributable effects in
 matched studies with continuous exposures and binary outcomes as described
 in Zhang, Small, Heng (2024) <arXiv:2401.06909>. Two of the functions
 require installation of the 'Gurobi' optimizer. Please see
 <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html> for
 guidance.

Package: r-cran-dosnow
Architecture: all
Version: 1.0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-runit, r-cran-caret, r-cran-mlbench, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-dosnow_1.0.20-1.ca2004.1_all.deb
Size: 27496
MD5sum: 3adddd53e47886880fbdbae5c363810b
SHA1: 074ff973d6a9d13f78c7dca16f7686ccc0233f89
SHA256: efcdddf0de401ddb2a672da6c056e5668ba5c00ec3f0932ce95ce25f1361761a
SHA512: 4b2583717e491418cca84ad7a1b7ecc34932f61ffa1c18119192921872f72a11499199b0970bfabf0a788c3a14dd80fa13fd4ccda44399af7eba4812b1007464
Homepage: https://cran.r-project.org/package=doSNOW
Description: CRAN Package 'doSNOW' (Foreach Parallel Adaptor for the 'snow' Package)
 Provides a parallel backend for the %dopar% function using the snow package
 of Tierney, Rossini, Li, and Sevcikova.

Package: r-cran-dosportfolio
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-hdshop
Filename: pool/dists/focal/main/r-cran-dosportfolio_0.1.0-1.ca2004.1_all.deb
Size: 56428
MD5sum: b400befdbae1c8a31fd35f922f705698
SHA1: 66e8af10b6da44cba5c608c490fc1853fae78a53
SHA256: 0dc62e209f34cad51d4287c860e4e4d522b382c8e95f8c85a92377f1d64a6078
SHA512: 6a5d4ad5c00c603d768a3c79df78efab4a978749301d7fedb7c2ed62525b580820808bc10f9f220a95f0a932b221efae68657e53512ce66438891c7113b5c1bc
Homepage: https://cran.r-project.org/package=DOSPortfolio
Description: CRAN Package 'DOSPortfolio' (Dynamic Optimal Shrinkage Portfolio)
 Constructs dynamic optimal shrinkage estimators for the weights of the
 global minimum variance portfolio which are reconstructed at given
 reallocation points as derived in Bodnar, Parolya, and Thorsén (2021)
 (<arXiv:2106.02131>).  Two dynamic shrinkage estimators are available in
 this package. One using overlapping samples while the other use
 nonoverlapping samples.

Package: r-cran-dosresmeta
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mixmeta
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rms
Filename: pool/dists/focal/main/r-cran-dosresmeta_2.2.0-1.ca2004.1_all.deb
Size: 436032
MD5sum: 5de524c6ef3ca7581d3dd131cc8236e8
SHA1: 377e1f0f5b01d6cec18f30bb8b7d75cc9a27e475
SHA256: 124cc232d919c2ecdf515d990893e62670da5952eaf2d94577504ad04cb8d879
SHA512: 27f1ad9706749d92841206c85618d8da1df5f0241900f3b1711f163ea55479274d6729b1eddc6abab6e49b92c02b753f212dab3cd178baa11d1dd1241c8f0046
Homepage: https://cran.r-project.org/package=dosresmeta
Description: CRAN Package 'dosresmeta' (Multivariate Dose-Response Meta-Analysis)
 Estimates dose-response relations from summarized dose-response data and to
 combines them according to principles of (multivariate) random-effects
 models.

Package: r-cran-dostats
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-plyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dostats_1.3.3-1.ca2004.1_all.deb
Size: 50184
MD5sum: f8e8274023959b39cab9e7a673618f35
SHA1: 8935ac38ea636da11ab7d85fa1d3f6c398cc9e06
SHA256: 2d76e22e70f43a3964ade4ecf6378b12f81bcffe104d0ca0ce7758547609cdd2
SHA512: 53661f522e711043836ba8e93031259d316c9a8809c24f0a277b6d7d3d5ce99f0d4371b089f0dd13ae81ad227d9b0d5d631f6ceed54d060f634ff91028ba8abe
Homepage: https://cran.r-project.org/package=dostats
Description: CRAN Package 'dostats' (Compute Statistics Helper Functions)
 A small package containing helper utilities for creating functions for
 computing statistics.

Package: r-cran-dot
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3706
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dot_0.1-1.ca2004.1_all.deb
Size: 519296
MD5sum: 57b0192920846a361162bd0a4be64758
SHA1: da2a2cdad6916556dc2698110564f637977a469f
SHA256: d1d2341ba21f92a1c95149d836a318f96d6e1318bf70331c7b6f44f157173ff1
SHA512: 43678a7044e187f4d072554101373541a46c8be251f296e0106f2d71a28d8e5b631914bd0c30a831220fd80466c31ce15a7f44abcc2f9f7b127a3acb6b929e13
Homepage: https://cran.r-project.org/package=DOT
Description: CRAN Package 'DOT' (Render and Export DOT Graphs in R)
 Renders DOT diagram markup language in R and also provides the possibility
 to export the graphs in PostScript and SVG (Scalable Vector Graphics)
 formats.  In addition, it supports literate programming packages such as
 'knitr' and 'rmarkdown'.

Package: r-cran-dotc
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-dotc_0.2-1.ca2004.1_all.deb
Size: 55216
MD5sum: 274130d9d78f6405c3cfa13a6d5a2780
SHA1: 9518831e8f2487bc8cd207637bcf3726dc64a77f
SHA256: 31bb144582a885a37e3c4efac247dd5954a4cfbde06c4280c1c7b1496a5e8678
SHA512: c1e53dbec12aa398d8cf5e9fa1b545d64a4997b8976cd301e266f5502a2bc9db383d66d49de6383e040cf240b9e11ab7644acedd2168bfadbfcb72198fe92a1c
Homepage: https://cran.r-project.org/package=DoTC
Description: CRAN Package 'DoTC' (Distribution of Typicality Coefficients)
 Calculation of cluster typicality coefficients as being generated by fuzzy
 k-means clustering.

Package: r-cran-dotdot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-dotdot_0.1.0-1.ca2004.1_all.deb
Size: 18036
MD5sum: be4891577043ddfb1204795f9db0f8cd
SHA1: 06d7d09db186d23dbc5ca3d6cc6f5a327b2d42eb
SHA256: 4b0f5d2cc35b17e96c4c15e4f874da8705eb1894a8f2b34bb024b839d0ead18c
SHA512: e04a8eaab75ace8e82b521bbe30fc70746671e209f92f91e6033cba7738b48225fe9e81ec03079292c8297ca9c27848dba5b6f58b176bb920eef93d02f7356b1
Homepage: https://cran.r-project.org/package=dotdot
Description: CRAN Package 'dotdot' (Enhanced Assignment Operator to Overwrite or Grow Objects)
 Use '..' on the right hand side of the ':=' operator as a shorthand for the
 left hand side, so that 'var := f(..) + ..' is equivalent to 'var <- f(var)
 + var'. This permits the user to be explicit about growing an object or
 overwriting it using its previous value, avoids repeating a variable name,
 and saves keystrokes, time, visual space and cognitive load.

Package: r-cran-dotenv
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dotenv_1.0.3-1.ca2004.1_all.deb
Size: 15648
MD5sum: 9f3ca670db202e8dee21fce1dc9e7eaf
SHA1: fad5311381d314dc868dee6afd0d04460813e437
SHA256: b8b6900bb23c043c3894fb4341cf578051572442a0efc230409c9bc23ca80a9d
SHA512: c4221b05d4aa6b89b66a1d75f8ee4ba92c8fca4295033d0107efa0e27c4a856f49a007ee7caf72dfdfdd9256b7a00147c92a1a0fe122ba7bdf25cf8a8248e45c
Homepage: https://cran.r-project.org/package=dotenv
Description: CRAN Package 'dotenv' (Load Environment Variables from '.env')
 Load configuration from a '.env' file, that is in the current working
 directory, into environment variables.

Package: r-cran-dotgen
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-dotgen_0.1.1-1.ca2004.1_all.deb
Size: 119656
MD5sum: cd626b6b5bac5d4ca853cf21b5c6a4b0
SHA1: 988adfa3f43b0d5da19f1ec4440470472498c015
SHA256: 4cc331c2ebc1b7917299cd71b6ac144330a5a869015b0a1d8eb7ef6abf7d0f7a
SHA512: e97ef519b3ca64c2a75078d106f14342644a87492a44514a5e1b784f93e86190c214d2b7f739ef828ce0f50a32d8319b2a5f9119f646c771e1f39ed26f63ac76
Homepage: https://cran.r-project.org/package=dotgen
Description: CRAN Package 'dotgen' (Gene-Set Analysis via Decorrelation by Orthogonal Transformation)
 Decorrelates a set of summary statistics (i.e., Z-scores or P-values per
 SNP) via Decorrelation by Orthogonal Transformation (DOT) approach and
 performs gene-set analyses by combining transformed statistic values;
 operations are performed with algorithms that rely only on the association
 summary results and the linkage disequilibrium (LD). For more details on DOT
 and its power, see Olga (2020) <doi:10.1371/journal.pcbi.1007819>.

Package: r-cran-dotprofile
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-cli
Suggests: r-cran-microbenchmark, r-cran-covr, r-cran-withr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dotprofile_0.0.1-1.ca2004.1_all.deb
Size: 24456
MD5sum: 6bb4810b2366f66f196d2dd839f6c3e1
SHA1: 81ddb57881cecc80db7169999bb91ba9147c3585
SHA256: 55955aa74290b3c95f955408c2c83dab9112da143e0dd8d75543301be30ff7dd
SHA512: 8e08c9ce38031c5ecda03e4818b39563c0e7d3ead80771bf333542dd394b5e94de8d88f251b02160b8e481de249d2279e3f2f612be7a43d5abdad61f2ae749df
Homepage: https://cran.r-project.org/package=dotprofile
Description: CRAN Package 'dotprofile' (Create and Manage Configuration Profiles)
 A toolbox to create and manage metadata files and configuration profiles:
 files used to configure the parameters and initial settings for some
 computer programs.

Package: r-cran-dots
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-rmapshaper, r-cran-sf, r-cran-terra, r-cran-purrr, r-cran-dplyr, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-wacolors
Filename: pool/dists/focal/main/r-cran-dots_0.0.2-1.ca2004.1_all.deb
Size: 163116
MD5sum: ca0787e69cc2af2dd1f79d390c683666
SHA1: a3572ddf9c2fb4df5ee845c7c085faa68936052e
SHA256: ca818447ed58cee0435bf47a7749a6abaf91cc6359408907feed83d9daaeaeb5
SHA512: 2c8472915bfb5566e2a336819e310dccf83bb75c637c22c859d112c83ea72893d626d093675dfeb2007a80c8fb2c4aa513a389f8b40ac62064c8510e114bc424
Homepage: https://cran.r-project.org/package=dots
Description: CRAN Package 'dots' (Dot Density Maps)
 Generate point data for representing people within spatial data. This
 collects a suite of tools for creating simple dot density maps. Several
 functions from different spatial packages are standardized to take the same
 arguments so that they can be easily substituted for each other.

Package: r-cran-dotsviolin
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gridextra, r-cran-gtools, r-cran-tidyr, r-cran-stringr, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-dotsviolin_0.0.1-1.ca2004.1_all.deb
Size: 91072
MD5sum: f8efd1b58a368d1c3973f120071da3a5
SHA1: 9e5666a98d5cbf80979f2afa3886d531193b4b15
SHA256: 45c5a8a8120362d3d8a0c963feb63db6c7c94ea08f1c9c142626616d00475b2f
SHA512: 6800ae52c3ff0be7a0a00aa365acdcf07d32d27d0a91e498a119ef6be98574a9196b0a4b76028e40682b47d3103a0275338115fc52d06085c8144411ae2d40a2
Homepage: https://cran.r-project.org/package=dotsViolin
Description: CRAN Package 'dotsViolin' (Dot Plots Mimicking Violin Plots)
 Modifies dot plots to have different sizes of dots mimicking violin plots
 and identifies modes or peaks for them based on frequency and kernel density
 estimates (Rosenblatt, 1956) <doi:10.1214/aoms/1177728190> (Parzen, 1962)
 <doi:10.1214/aoms/1177704472>.

Package: r-cran-dotty
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-codetools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dotty_0.1.0-1.ca2004.1_all.deb
Size: 15428
MD5sum: 4c49fc38b5e8c7946182115bc15e5363
SHA1: d4f00b0f589caf8cd5bce7802fecad023d3e1779
SHA256: 6b07147076d0e9b63eb97c4c395e725cbd9f7e9823d07ef0461fae2efbbadff5
SHA512: f34da8309c4842308c67fdc5f31bf1f6c8d28883987666fd37d8905ddf9bbb5a3258e01ae3689124e0037a1384b62e33de2ced991189b7f000b98c75098fea7b
Homepage: https://cran.r-project.org/package=dotty
Description: CRAN Package 'dotty' (The Unpacking Dot Operator)
 Provides a `.` object which can be used for unpacking assignments. For
 example, `.[rows, columns] <- dim(cars)` could be used to pull the number of
 rows and number of columns from `dim(cars)` into individual variables `rows`
 and `columns` in a single step.

Package: r-cran-dotwhisker
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-gridextra, r-cran-parameters, r-cran-performance, r-cran-patchwork, r-cran-dplyr, r-cran-stringr, r-cran-ggstance, r-cran-rlang, r-cran-purrr, r-cran-marginaleffects
Suggests: r-cran-ordinal, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-broom
Filename: pool/dists/focal/main/r-cran-dotwhisker_0.8.4-1.ca2004.1_all.deb
Size: 262420
MD5sum: 4dd1e2284663deb7c73f3a9108cd8fce
SHA1: 8ff7f8a63d197525e70c0935334a89b705e3fdd0
SHA256: 846e5c7b3deb2d35d3be9e2a231c09fcfba62ee037ec15e89dfe03037ec4aff2
SHA512: da36c5135730920c87828fa295043f841c6a6db14f54113c37a1f8bc4a6f096ed9a1207872725b2858366d80ce6e3f2740133dfa0ca1d3dc65c884ec955a9e5b
Homepage: https://cran.r-project.org/package=dotwhisker
Description: CRAN Package 'dotwhisker' (Dot-and-Whisker Plots of Regression Results)
 Create quick and easy dot-and-whisker plots of regression results. It takes
 as input either (1) a coefficient table in standard form or (2) one (or a
 list of) fitted model objects (of any type that has methods implemented in
 the 'parameters' package). It returns 'ggplot' objects that can be further
 customized using tools from the 'ggplot2' package. The package also includes
 helper functions for tasks such as rescaling coefficients or relabeling
 predictor variables. See more methodological discussion of the visualization
 and data management methods used in this package in Kastellec and Leoni
 (2007) <doi:10.1017/S1537592707072209> and Gelman (2008)
 <doi:10.1002/sim.3107>.

Package: r-cran-double.truncation
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-double.truncation_1.8-1.ca2004.1_all.deb
Size: 135000
MD5sum: 29d34ed670418e50a9217ef22205e2cb
SHA1: f9924ff00d3d19a1323e3adcaea4935f9ad3d854
SHA256: 0295359236e6c2257334ca3e1e831f0f21d982f4a54fc124e3ba790232a57ee6
SHA512: fc7709a7e4787148bcde5d3995769a103127abd16c9c501730c53cc2ab4590d4263401b275be2c89d09a9001f9e894e0543ae0b06452d0bfd407fd4e8591ba3e
Homepage: https://cran.r-project.org/package=double.truncation
Description: CRAN Package 'double.truncation' (Analysis of Doubly-Truncated Data)
 Likelihood-based inference methods with doubly-truncated data are developed
 under various models.  Nonparametric models are based on Efron and Petrosian
 (1999) <doi:10.1080/01621459.1999.10474187> and Emura, Konno, and Michimae
 (2015) <doi:10.1007/s10985-014-9297-5>.  Parametric models from the special
 exponential family (SEF) are based on Hu and Emura (2015)
 <doi:10.1007/s00180-015-0564-z> and Emura, Hu and Konno (2017)
 <doi:10.1007/s00362-015-0730-y>.  The parametric location-scale models are
 based on Dorre et al. (2021) <doi:10.1007/s00180-020-01027-6>.

Package: r-cran-doublecone
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coneproj, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-doublecone_1.1-1.ca2004.1_all.deb
Size: 66272
MD5sum: 24b3f00164f8a1d02c8eb4304e93d286
SHA1: 6be2d101999cf8232f558f68a44cf2a0e1751f9d
SHA256: 01a89793026c83af9703f01d5458ab5fa8ac92545430c46cb9f3af474e591ba1
SHA512: 3b630e3fa99ec3e78753296f72923284d90bfdbe1c1d446f10fc45eca1d5dceb4e9ad3c318eaf3319b050e1736e79ab1150c994e613c76528865f398b84dcf0d
Homepage: https://cran.r-project.org/package=DoubleCone
Description: CRAN Package 'DoubleCone' (Test Against Parametric Regression Function)
 Performs hypothesis tests concerning a regression function in a
 least-squares model, where the null is a parametric function, and the
 alternative is the union of large-dimensional convex polyhedral cones. See
 Bodhisattva Sen and Mary C Meyer (2016) <doi:10.1111/rssb.12178> for more
 details.

Package: r-cran-doubleexpseq
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-doubleexpseq_1.1-1.ca2004.1_all.deb
Size: 306848
MD5sum: 3285f5c562ef93ed0ced07b351614627
SHA1: 6e207491d353dbcffcf5d4e880cb31c6b5e0af02
SHA256: 78e9ca3290d931801f04269f90fd5e30b89b6a78f2d314cfdda5633b862f12c4
SHA512: 6ac4a36bffcac4350baf0759a5805e3eb5f765dc54fd60b5a8f199fc923b2b26f91262301d1c7aff1aaa8a2e2d624bd3791b6b0670ba182e513ce62421cbd00d
Homepage: https://cran.r-project.org/package=DoubleExpSeq
Description: CRAN Package 'DoubleExpSeq' (Differential Exon Usage Test for RNA-Seq Data via EmpiricalBayes Shrinkage of the Dispersion Parameter)
 Differential exon usage test for RNA-Seq data via an empirical Bayes
 shrinkage method for the dispersion parameter the utilizes
 inclusion-exclusion data to analyze the propensity to skip an exon across
 groups. The input data consists of two matrices where each row represents an
 exon and the columns represent the biological samples. The first matrix is
 the count of the number of reads expressing the exon for each sample. The
 second matrix is the count of the number of reads that either express the
 exon or explicitly skip the exon across the samples, a.k.a. the total count
 matrix. Dividing the two matrices yields proportions representing the
 propensity to express the exon versus skipping the exon for each sample.

Package: r-cran-doubleml
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-data.table, r-cran-checkmate, r-cran-mlr3, r-cran-mlr3tuning, r-cran-mvtnorm, r-cran-clustergeneration, r-cran-readstata13, r-cran-mlr3learners, r-cran-mlr3misc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-patrick, r-cran-paradox, r-cran-dplyr, r-cran-glmnet, r-cran-lgr, r-cran-ranger, r-cran-sandwich, r-cran-aer, r-cran-rpart, r-cran-bbotk, r-cran-mlr3pipelines
Filename: pool/dists/focal/main/r-cran-doubleml_1.0.2-1.ca2004.1_all.deb
Size: 881396
MD5sum: f862e77b0b4effd9f04db2577454b373
SHA1: f64ab782f6efd2b6625e1f6b36881e437a2cb037
SHA256: f435aefdf3997348b4032ae3c67cbca43622d89c1359ca8c99a8f4e9ae096db0
SHA512: 92d23982979638ab45a9e1200794e3e58f07bbb69a22ae50a7d4eb48ed7541f8804d54029e6fc7a3b2a20c1ce7d240db0479828df4d738143cea219a88b47d3a
Homepage: https://cran.r-project.org/package=DoubleML
Description: CRAN Package 'DoubleML' (Double Machine Learning in R)
 Implementation of the double/debiased machine learning framework of
 Chernozhukov et al. (2018) <doi:10.1111/ectj.12097> for partially linear
 regression models, partially linear instrumental variable regression models,
 interactive regression models and interactive instrumental variable
 regression models. 'DoubleML' allows estimation of the nuisance parts in
 these models by machine learning methods and computation of the Neyman
 orthogonal score functions. 'DoubleML' is built on top of 'mlr3' and the
 'mlr3' ecosystem. The object-oriented implementation of 'DoubleML' based on
 the 'R6' package is very flexible. More information available in the
 publication in the Journal of Statistical Software:
 <doi:10.18637/jss.v108.i03>.

Package: r-cran-doublin
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-flexsurv, r-cran-ggplot2, r-cran-rjags, r-cran-magrittr, r-cran-tidyverse, r-cran-dt, r-cran-epicontacts, r-cran-lubridate, r-cran-mstats, r-cran-plotly, r-cran-shiny, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-shinythemes, r-cran-visnetwork, r-cran-xtable, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-shinytest
Filename: pool/dists/focal/main/r-cran-doublin_0.2.0-1.ca2004.1_all.deb
Size: 74820
MD5sum: e73752d503c1e726130e3e4f6a34aa09
SHA1: c0ad37d0e5e99d5d6c437cb0202da09065c81f62
SHA256: 5104c07d44ef82beb7fe9ffb3f74b8fdcb73ccca71e0c150e901e247c9d23cfb
SHA512: be89f2221e348703ed929f44451e915faef8da50226d106c9ea188ed3ec72d87dfed48196bb06a92b49b6e45a620dc8ac4446acb56a4fed04526e9ebd888b207
Homepage: https://cran.r-project.org/package=doublIn
Description: CRAN Package 'doublIn' (Estimate Incubation or Latency Time using Doubly IntervalCensored Observations)
 Visualize contact tracing data using a 'shiny' app and estimate the
 incubation or latency time of an infectious disease respecting the following
 characteristics in the analysis; (i) doubly interval censoring with (partly)
 overlapping or distinct windows; (ii) an infection risk corresponding to
 exponential growth; (iii) right truncation allowing for individual
 truncation times; (iv) different choices concerning the family of the
 distribution. For our earlier work, we refer to Arntzen et al. (2023)
 <doi:10.1002/sim.9726>. A paper describing our approach in detail will
 follow.

Package: r-cran-doubt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-unglue
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-doubt_0.1.0-1.ca2004.1_all.deb
Size: 53508
MD5sum: 17f4bed3b27ddaa752d6ed1e58542362
SHA1: 3aab06abcf79a87b629ab0214b6176e5f46893de
SHA256: 1653572d32757f8836f144a25ccd7b408dda4a049b79ce35db54dd99675b4a70
SHA512: ed452dc967bc0489f2ddd65ed21d15835298b65be69389e54fceaeb09966b4370f3382f8e53949c3c3647e6cd451adc551ae1a172bf41839b56900433cde38c7
Homepage: https://cran.r-project.org/package=doubt
Description: CRAN Package 'doubt' (Enable Operators Containing the '?' Symbol)
 Overload utils::'?' to build unary and binary operators from existing
 functions, piping operators of different precedence, and flexible syntaxes.

Package: r-cran-douconca
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1275
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-permute, r-cran-rlang, r-cran-vegan
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-douconca_1.2.3-1.ca2004.1_all.deb
Size: 1013464
MD5sum: 3399ddc1223d2ced6f327994a9b14527
SHA1: 356fbb572eb3789a4cb7c1bc2baa728e1175c01e
SHA256: 495b24556829376fb783f47fca73c9646c5856d57cea1d0115e45ef133d33e8f
SHA512: ec75344863be8c46fc7f777367aab6c4a5bc8305a035e20d5587f59d6e4971c39e8e13051bf1a61a38744a548b50f2cc38d50d863eca7828b75f1ce9db85e996
Homepage: https://cran.r-project.org/package=douconca
Description: CRAN Package 'douconca' (Double Constrained Correspondence Analysis for Trait-EnvironmentAnalysis in Ecology)
 Double constrained correspondence analysis (dc-CA) analyzes (multi-)trait
 (multi-)environment ecological data by using the 'vegan' package and native
 R code. Throughout the two step algorithm of ter Braak et al. (2018) is
 used. This algorithm combines and extends community- (sample-) and
 species-level analyses, i.e. the usual community weighted means (CWM)-based
 regression analysis and the species-level analysis of species-niche
 centroids (SNC)-based regression analysis. The two steps use canonical
 correspondence analysis to regress the abundance data on to the traits and
 (weighted) redundancy analysis to regress the CWM of the orthonormalized
 traits on to the environmental predictors. The function dc_CA() has an
 option to divide the abundance data of a site by the site total, giving
 equal site weights. This division has the advantage that the multivariate
 analysis corresponds with an unweighted (multi-trait) community-level
 analysis, instead of being weighted. The first step of the algorithm uses
 vegan::cca(). The second step uses wrda() but vegan::rda() if the site
 weights are equal. This version has a predict() function. For details see
 ter Braak et al. 2018 <doi:10.1007/s10651-017-0395-x>.  and ter Braak & van
 Rossum 2025 <doi:10.1016/j.ecoinf.2025.103143>.

Package: r-cran-doudpackage
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-kableextra, r-cran-purrr, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-doudpackage_2.1.0-1.ca2004.1_all.deb
Size: 202808
MD5sum: f9a17653efe531736162107ffadae0da
SHA1: a7ed5f0d772b39207bcc73fc92ffaa41096aa1d8
SHA256: d745332efcf9a851238b9a0cdb15b4c9b5215954ca667184104318fef01c6ea9
SHA512: 225b51f0249c8323b29d7a4fc91b69ecdfb27c02ffd81c15355144356dfaf1daaa2493c0a6704f970ab2520732d36fd2a85e28aa01dda47c50c2ba8869a9f1b7
Homepage: https://cran.r-project.org/package=doudpackage
Description: CRAN Package 'doudpackage' (Create Elegant Table 1 in HTML for Bio-Statistics)
 Creates the "table one" of bio-medical papers. Fill it with your data and
 the name of the variable which you'll make the group(s) out of and it will
 make univariate, bivariate analysis and parse it into HTML.  It also allows
 you to visualize all your data with graphic representation.

Package: r-cran-dovalidation
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dovalidation_1.1.0-1.ca2004.1_all.deb
Size: 129848
MD5sum: cdc3f12e50a2c4f1dd74e041c16a5ba7
SHA1: ff87df13ee6730956c848f79d3653a658a09b13b
SHA256: 8f60da5df8e39b00ff119e0337ae16c810fc517b4b1746132b6397279df629e9
SHA512: d8fb4913109d446269e09ede167582e913e8acf1974a912fb1b57aee1c4c126a29480b241653cf3759e3cad2605340a9e559df5b54070daf95ae7af7d1ac284f
Homepage: https://cran.r-project.org/package=DOvalidation
Description: CRAN Package 'DOvalidation' (Kernel Hazard Estimation with Best One-Sided and DoubleOne-Sided Cross-Validation)
 Local linear hazard estimator and its multiplicatively bias correction,
 including three bandwidth selection methods: best one-sided
 cross-validation, double one-sided cross-validation, and standard
 cross-validation.

Package: r-cran-dowd
Architecture: all
Version: 0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bootstrap, r-cran-mass, r-cran-forecast
Suggests: r-cran-performanceanalytics, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dowd_0.12-1.ca2004.1_all.deb
Size: 667100
MD5sum: 0d43d892dea0eaa5c5f649c2c88dcc7f
SHA1: e7f685cccd07625fbd53de0807df33fa3bdf4e37
SHA256: 2dd28446663b3ebba4e82e399efdb63560a770e42f63f36ca80872bf62b542a4
SHA512: c87bfb7fc7031fc0029c1b4e751a6715385e46ab1ab39bc350a46322ee50496545e8c7a0128e0792f7d08001f4815850d1c3da5dd6bb42e56d2eb47a4bde8496
Homepage: https://cran.r-project.org/package=Dowd
Description: CRAN Package 'Dowd' (Functions Ported from 'MMR2' Toolbox Offered in Kevin Dowd'sBook Measuring Market Risk)
 'Kevin Dowd's' book Measuring Market Risk is a widely read book in the area
 of risk measurement by students and practitioners alike. As he claims,
 'MATLAB' indeed might have been the most suitable language when he
 originally wrote the functions, but, with growing popularity of R it is not
 entirely valid. As 'Dowd's' code was not intended to be error free and were
 mainly for reference, some functions in this package have inherited those
 errors. An attempt will be made in future releases to identify and correct
 them. 'Dowd's' original code can be downloaded from
 www.kevindowd.org/measuring-market-risk/.  It should be noted that 'Dowd'
 offers both 'MMR2' and 'MMR1' toolboxes. Only 'MMR2' was ported to R. 'MMR2'
 is more recent version of 'MMR1' toolbox and they both have mostly similar
 function. The toolbox mainly contains different parametric and non
 parametric methods for measurement of market risk as well as backtesting
 risk measurement methods.

Package: r-cran-downlit
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brio, r-cran-desc, r-cran-digest, r-cran-evaluate, r-cran-fansi, r-cran-memoise, r-cran-rlang, r-cran-vctrs, r-cran-withr, r-cran-yaml
Suggests: r-cran-covr, r-cran-htmltools, r-cran-jsonlite, r-cran-mass, r-bioc-massspecwavelet, r-cran-pkgload, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-downlit_0.4.4-1.ca2004.1_all.deb
Size: 113308
MD5sum: f0a7c217aadcde9bc98de7beb64bdd17
SHA1: fbe0e4ae387f5c819681243705a9832e4a3ac938
SHA256: 12876301fa2e7d8a324ab1efe14177aa03e68094faad5910ee6167cb32572bed
SHA512: 7ffa631246ed6b4111a9d61f6b6f5d20aa6f30581c8193b418d3f2ad12e8ebda8eb7721f7990541287508c86f14a0a66092762c8bea0fb7c872f1c6ee1329806
Homepage: https://cran.r-project.org/package=downlit
Description: CRAN Package 'downlit' (Syntax Highlighting and Automatic Linking)
 Syntax highlighting of R code, specifically designed for the needs of
 'RMarkdown' packages like 'pkgdown', 'hugodown', and 'bookdown'. It includes
 linking of function calls to their documentation on the web, and automatic
 translation of ANSI escapes in output to the equivalent HTML.

Package: r-cran-downloader
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-downloader_0.4.1-1.ca2004.1_all.deb
Size: 22776
MD5sum: 5344dcca32486775e330e01420b679be
SHA1: 53382ec97728a64f86cd7c02b184bb4eec7e2511
SHA256: 31c9d7cb53a4d433fb29f86d50476fa7a75ff5c6ba11a8933538087aa1033627
SHA512: bf8d87f1124f172714b9193260e902995938a898f52aa2b608e221700d3d69d0f47f38e4c9864a9685ede5dcae0808c6a0417e2e96803ab3b1885f63cd919b3a
Homepage: https://cran.r-project.org/package=downloader
Description: CRAN Package 'downloader' (Download Files over HTTP and HTTPS)
 Provides a wrapper for the download.file function, making it possible to
 download files over HTTPS on Windows, Mac OS X, and other Unix-like
 platforms. The 'RCurl' package provides this functionality (and much more)
 but can be difficult to install because it must be compiled with external
 dependencies. This package has no external dependencies, so it is much
 easier to install.

Package: r-cran-downloadthis
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-readr, r-cran-writexl, r-cran-bsplus, r-cran-mime, r-cran-htmltools, r-cran-magrittr, r-cran-zip, r-cran-ggplot2, r-cran-b64
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-downloadthis_0.4.1-1.ca2004.1_all.deb
Size: 2732088
MD5sum: f53da385712acb9657881158c9621db3
SHA1: c01d45a04f065fcf04533b5a56da582a00f26d0e
SHA256: b1b74bfb973bd89a75ce641bef9b5cf897bfe79140321383dd9a8de26ca9e012
SHA512: a15f3873d56591810f49f820849a0de1ebadc9506df87a974fe93448ddb37dad87c48ae2b31415a7e3ffc5073c618d24108f36d198f2aa7e074edc2dedbc922e
Homepage: https://cran.r-project.org/package=downloadthis
Description: CRAN Package 'downloadthis' (Implement Download Buttons in 'rmarkdown')
 Implement download buttons in HTML output from 'rmarkdown' without the need
 for 'runtime:shiny'.

Package: r-cran-downscale
Architecture: all
Version: 5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2992
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cubature, r-cran-minpack.lm, r-cran-rmpfr, r-cran-sf, r-cran-terra
Suggests: r-cran-rgbif, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-downscale_5.0.0-1.ca2004.1_all.deb
Size: 1597700
MD5sum: 694711b97428cfef649c497c30bfde54
SHA1: 1d7e19b3a5628a55c3e173d98718b4981abe3b7f
SHA256: 98bd4b4a98528606640c7218cd94606be242811470f31920369a87e2bd1e0c40
SHA512: e8eaa844ee4cf907b6b07bf302a1fdb9e34785981997c9c7b8845103e6f0505823f97d6ed571872615deb53f50dd0d900fad3e6bc8cb5b8a7d0c0f741afb5ded
Homepage: https://cran.r-project.org/package=downscale
Description: CRAN Package 'downscale' (Downscaling Species Occupancy)
 Uses species occupancy at coarse grain sizes to predict species occupancy at
 fine grain sizes. Ten models are provided to fit and extrapolate the
 occupancy-area relationship, as well as methods for preparing atlas data for
 modelling. See Marsh et. al. (2018) <doi:10.18637/jss.v086.c03>.

Package: r-cran-downsize
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-downsize_0.2.3-1.ca2004.1_all.deb
Size: 56672
MD5sum: 9bb018d12125f472a891ac4be58129bf
SHA1: 6be93da6b2ef86fe892314edc30495b4464ba4e0
SHA256: 282d3bc667bfc018c7ad2ad852b24c81ef298687d0a3a01a2bbe3939e6ccd24f
SHA512: c44e463545b1b0e94628196004c46098961fa8f13610a7dbba98ede0b94fc67a10eba5de01918727e4e04599860858a93ce51283e0fc97d3e8bd6d3a135a1e16
Homepage: https://cran.r-project.org/package=downsize
Description: CRAN Package 'downsize' (A Tool to Downsize Large Analysis Projects for Testing)
 Toggles the test and production versions of a large data analysis project.

Package: r-cran-dowser
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-airr, r-cran-alakazam, r-cran-ape, r-bioc-biostrings, r-cran-dplyr, r-bioc-ggtree, r-cran-gridextra, r-cran-markdown, r-cran-phangorn, r-cran-phylotate, r-cran-rcolorbrewer, r-cran-rlang, r-cran-shazam, r-cran-stringr, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-pwalign
Filename: pool/dists/focal/main/r-cran-dowser_2.3-1.ca2004.1_all.deb
Size: 2130712
MD5sum: 07f9053a89c147c1c89068aba360b79a
SHA1: 8d57a4c859a07fb1ab985f2d5852dae7b597024c
SHA256: 3da54c6b99b978b26dce4aa95312cf302820fda16346cebf77eb9ae2505f5322
SHA512: ff09ad648ed8d56fb559fd23daa8d8c76cb86e7f23db94a7133e4f0b07478fd2304fdeb0a123864fe8682cc0dcfaa669040b2fa7d58b5114693b0fdd82d473c5
Homepage: https://cran.r-project.org/package=dowser
Description: CRAN Package 'dowser' (B Cell Receptor Phylogenetics Toolkit)
 Provides a set of functions for inferring, visualizing, and analyzing B cell
 phylogenetic trees.  Provides methods to 1) reconstruct unmutated ancestral
 sequences, 2) build B cell phylogenetic trees using multiple methods, 3)
 visualize trees with metadata at the tips, 4) reconstruct intermediate
 sequences, 5) detect biased ancestor-descendant relationships among metadata
 types Workflow examples available at documentation site (see URL).
 Citations: Hoehn et al (2022) <doi:10.1371/journal.pcbi.1009885>, Hoehn et
 al (2021) <doi:10.1101/2021.01.06.425648>.

Package: r-cran-doypacolors
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-doypacolors_0.0.2-1.ca2004.1_all.deb
Size: 1456344
MD5sum: c6cd38ed0b483905f65d1f628b68b0eb
SHA1: 383b24d6b35a6c37af1339ccb72c879b5c0f6cf7
SHA256: 754688ce7a54b145719d26e2b60f4de7bd374f9625ebaffdbca86852a09a806c
SHA512: be8360866430437e2631e6df3345f06429c5794726eac276ef504e14fd90dc9cc9a426732c12aa0603a7dcd7f6b70291c6d6804e822d4b5bd5637253fa0eedfa
Homepage: https://cran.r-project.org/package=DOYPAColors
Description: CRAN Package 'DOYPAColors' (Don't Overthink Your Palette of Colors)
 Access diverse 'ggplot2'-compatible color palettes for simplified data
 visualization.

Package: r-cran-dpasurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-ggplot2, r-cran-survival, r-cran-timereg
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dpasurv_0.1.0-1.ca2004.1_all.deb
Size: 524428
MD5sum: 1c720a298a101a52b8402d0e6ea526e3
SHA1: 3fcda7079decc785445cad400abfea1f8fe46639
SHA256: 7a5fa0861e0a12c10c447b119c277bca7f6aa1929d9535153d61d24f05302971
SHA512: 6d46955fb9af486a198f720b2de68352a0bf898298aaa174724e9ab5a0c1cfc9bdffde47ac63fb67e0276d3ab4658295af7e91684399ae921806ea65a14f3a4b
Homepage: https://cran.r-project.org/package=dpasurv
Description: CRAN Package 'dpasurv' (Dynamic Path Analysis of Survival Data via Aalen's AdditiveHazards Model)
 Dynamic path analysis with estimation of the corresponding direct, indirect,
 and total effects, based on Fosen et al., (2006)
 <doi:10.1007/s10985-006-9004-2>. The main outcome of interest is a counting
 process from survival analysis (or recurrent events) data. At each time of
 event, ordinary linear regression is used to estimate the relation between
 the covariates, while Aalen's additive hazard model is used for the
 regression of the counting process on the covariates.

Package: r-cran-dpbbm
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1041
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmvtnorm, r-cran-vgam, r-cran-gplots, r-cran-ceoptim
Filename: pool/dists/focal/main/r-cran-dpbbm_0.2.5-1.ca2004.1_all.deb
Size: 426504
MD5sum: da7e5d275b77478b2e0a10fbb6458b02
SHA1: 7615f456acee7117c80392af6f4fdbc7772ef540
SHA256: 3c07cbbecd58ab209d85ab999edcf7e206f6c7db91eecb5ff1cf38560828e595
SHA512: ce7b900b00d64807b3180317e68487f0fd393cf4da4ee6f009dcd896da8e018eeb77a92da1e5be74587408f5af1b6844dbd20273fcaa6902fd224fd638e63faa
Homepage: https://cran.r-project.org/package=DPBBM
Description: CRAN Package 'DPBBM' (Dirichlet Process Beta-Binomial Mixture)
 Beta-binomial Mixture Model is used to infer the pattern from count data.
 It can be used for clustering of RNA methylation sequencing data.

Package: r-cran-dpcp
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4837
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cluster, r-cran-dbscan, r-cran-e1071, r-cran-exactci, r-cran-ggplot2, r-cran-ggpubr, r-cran-raster, r-cran-rlist, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dpcp_2.0.1-1.ca2004.1_all.deb
Size: 1805236
MD5sum: 5f72956c872fee3bb56064637a0f9134
SHA1: 8ba9cdfc602decc01f34eab214775b8d2b4964f9
SHA256: d8ab261052587a22b0ab4567fa74b2fe8493427349c052e3969ddae5fb06b903
SHA512: 07c016b5607b4b934691a7a1f3234e8230963acdc3a0e6e2679bfc9f4f8fc1b53d5132749aef0a0b742adb2ba029beaf8c42ce55f0d877eda9d7527f1c4bd004
Homepage: https://cran.r-project.org/package=dPCP
Description: CRAN Package 'dPCP' (Automated Analysis of Multiplex Digital PCR Data)
 The automated clustering and quantification of the digital PCR data is based
 on the combination of 'DBSCAN' (Hahsler et al. (2019)
 <doi:10.18637/jss.v091.i01>) and 'c-means' (Bezdek et al. (1981)
 <doi:10.1007/978-1-4757-0450-1>) algorithms.  The analysis is independent of
 multiplexing geometry, dPCR system, and input amount.  The details about
 input data and parameters are available in the vignette.

Package: r-cran-dpcr
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1458
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-binom, r-cran-chippcr, r-cran-e1071, r-cran-evd, r-cran-dgof, r-cran-multcomp, r-cran-qpcr, r-cran-pracma, r-cran-rateratio.test, r-cran-readxl, r-cran-signal, r-cran-shiny, r-cran-spatstat.explore, r-cran-spatstat.geom
Suggests: r-cran-digest, r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-rhandsontable, r-cran-rmarkdown, r-cran-shinythemes, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-dpcr_0.6-1.ca2004.1_all.deb
Size: 1010628
MD5sum: 9542919c6d029318da2d3245ad315c22
SHA1: c4deda510d57b226201818ae6ff79353906452c9
SHA256: 60d4298b5b66dd8c6125a5d3d01c46ecfdb6a8dc976c16cf242b7e3ebd129c01
SHA512: 9046067917fe87052b44c97bd6d471eb87aacfa244fa9a48f78fe0ebf9973bf755b4574f8690ed5f39ee966a070cfc0b708b151a2cf90d7a099e4015c0354049
Homepage: https://cran.r-project.org/package=dpcR
Description: CRAN Package 'dpcR' (Digital PCR Analysis)
 Analysis, visualisation and simulation of digital polymerase chain reaction
 (dPCR) (Burdukiewicz et al. (2016) <doi:10.1016/j.bdq.2016.06.004>).
 Supports data formats of commercial systems (Bio-Rad QX100 and QX200;
 Fluidigm BioMark) and other systems.

Package: r-cran-dpi
Architecture: all
Version: 2025.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glue, r-cran-crayon, r-cran-cli, r-cran-ggplot2, r-cran-qgraph
Suggests: r-cran-brucer
Filename: pool/dists/focal/main/r-cran-dpi_2025.6-1.ca2004.1_all.deb
Size: 63380
MD5sum: 07ab9ea3103583df7e86e4bd51ecb500
SHA1: 5a31f207f3e7cb432b871f108833adb851ccea01
SHA256: 247837d25d833f85ffe6e47125d16796c30f538dbf24e2b718843b8b93aa71d6
SHA512: 9ec03a5b0e2df8a22efd6e4a84ec831af33ac2b60f00d1b9168304436bf5c72d8b3dc76ae3356eaf301eb4645a9823a007393efd676daf21b402888f2f4408a9
Homepage: https://cran.r-project.org/package=DPI
Description: CRAN Package 'DPI' (The Directed Prediction Index)
 The Directed Prediction Index ('DPI') is a simulation-based and conservative
 method for quantifying the relative endogeneity (relative dependence) of
 outcome (Y) versus predictor (X) variables in multiple linear regression
 models.  By comparing the proportion of variance explained (R-squared)
 between the Y-as-outcome model and the X-as-outcome model while controlling
 for a sufficient number of potential confounding variables, it suggests a
 more plausible influence direction from a more exogenous variable (X) to a
 more endogenous variable (Y).  Methodological details are provided at
 <https://psychbruce.github.io/DPI/>.

Package: r-cran-dpit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam, r-cran-gsl, r-cran-moments, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-dpit_1.0-1.ca2004.1_all.deb
Size: 230964
MD5sum: 0c0472bfdd16c67cd7791fd948791980
SHA1: 8dcea32be87b733b8312eb49a5bd43a31911a695
SHA256: 4b44147524cccce21964c4f3852d8b7988b92c937170dfe35aa70a2e8a23ab98
SHA512: c37cad2c919f7a128f1776f2a1ef936d0879de1adc98fd7d62c14f264b2ef874795b5548af2177bfb1019576ea55e42d7efaab21558fa21ca75ba56b0b5ad92c
Homepage: https://cran.r-project.org/package=Dpit
Description: CRAN Package 'Dpit' (Distribution Pitting)
 Compares distributions with one another in terms of their fit to each sample
 in a dataset that contains multiple samples, as described in Joo, Aguinis,
 and Bradley (in press). Users can examine the fit of seven distributions per
 sample: pure power law, lognormal, exponential, power law with an
 exponential cutoff, normal, Poisson, and Weibull. Automation features allow
 the user to compare all distributions for all samples with a single command
 line, which creates a separate row containing results for each sample until
 the entire dataset has been analyzed.

Package: r-cran-dpkg
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-cli, r-cran-fs, r-cran-glue, r-cran-httr2, r-cran-rlang, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-geoarrow, r-cran-gert, r-cran-gh, r-cran-sf, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dpkg_0.6.1-1.ca2004.1_all.deb
Size: 45172
MD5sum: 2ce897ce9b853e8ff5c4514d7bfe5a31
SHA1: fccc39df39299b318145a1c0c3ddbd5d7e0a750d
SHA256: 634ce296e205a5316c56dc307459a0ef431fe49f9bc53e28c060c447243fcd31
SHA512: fab16e6dfaeea8a355037b1ec1cbffdc511a59c24a02ef1540a5ff37c9e5fc0dee20852f13ac31e1f4d9b4eec51825f348507602149131f845f9880fb15295ce
Homepage: https://cran.r-project.org/package=dpkg
Description: CRAN Package 'dpkg' (Create, Stow, and Read Data Packages)
 Data frame, tibble, or tbl objects are converted to data package objects
 using specific metadata labels (name, version, title, homepage,
 description). A data package object ('dpkg') can be written to disk as a
 'parquet' file or released to a 'GitHub' repository. Data package objects
 can be read into R from online repositories and downloaded files are cached
 locally across R sessions.

Package: r-cran-dplbnde
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bnclassify
Filename: pool/dists/focal/main/r-cran-dplbnde_0.1.3-1.ca2004.1_all.deb
Size: 96148
MD5sum: fb2b52dad4f4185e5eedb37db6c9b71a
SHA1: dd55391d5a57031b58c83d8d51f87ecefae74ca5
SHA256: d107a5b4415919116606420197c18db94b6d61e4d6718024ccf48ebb9c5d0087
SHA512: 06af6cba9b6e29849b88c6d402714c225b195109a1e0d434944ac6e1344fd5d009efe74f201b907f865397483795a104f5a5689c1acb259e9da7cbcc042861bb
Homepage: https://cran.r-project.org/package=dplbnDE
Description: CRAN Package 'dplbnDE' (Discriminative Parameter Learning of Bayesian Networks byDifferential Evolution)
 Implements Differential Evolution (DE) to train parameters of Bayesian
 Networks for optimizing the Conditional Log-Likelihood (Discriminative
 Learning) instead of the log-likelihood (Generative Learning). Any given
 Bayesian Network structure encodes assumptions about conditional
 independencies among the attributes and will result in an error if they do
 not hold in the data. Such an error includes the classification dimension.
 The main goal of Discriminative learning is to minimize this type of error.
 This package provides main variants of differential evolution described in
 Price & Storn (1996) <doi:10.1109/ICEC.1996.542711> and recent ones,
 described in Tanabe & Fukunaga (2014) <doi:10.1109/CEC.2014.6900380> and
 Zhang & Sanderson (2009) <doi:10.1109/TEVC.2009.2014613> with adaptation
 mechanism for factor mutarion and crossover rate.

Package: r-cran-dplrcon
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4294
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dplrcon_1.0-1.ca2004.1_all.deb
Size: 4354712
MD5sum: b479ed3546051bd15bf3d3a6223f94f8
SHA1: 64f52b56d25223872f9d5af28d083cd7eeddd583
SHA256: 8ad707e1c9a788f204e8d19bb6dd7f38e4b44c78b89c4c7cf80aa49e32dbed65
SHA512: e51423b5e0dd933e3facd69b5a5cc315f5f475b7a020f88d00f4adfd00001bf09f23b61f7e20ef14d53cfd7c22715f960da3d61d64a8ed6424a3b7e7589fb9b4
Homepage: https://cran.r-project.org/package=dplRCon
Description: CRAN Package 'dplRCon' (Concordance for Dendroclimatology)
 The concordance method is a non-parametric method based on bootstrapping
 that is used to test the hypothesis that two subsets of time series are
 similar in terms of mean, variance or both. This method was developed to
 address a concern within dendroclimatology that young trees may produce a
 differing climate response to older more established trees. Details of this
 method are available in Pirie, M. (2013). The Climate of New Zealand
 reconstructed from kauri tree rings: Enhancement through the use of novel
 statistical methodology. PhD. Dissertation, School of Environment and
 Department of Statistics, University of Auckland, New Zealand. This package
 also produces a figure with 3 panels, each panel is for a different climate
 variable. An example of this figure in included in "On the influence of tree
 size on the climate - growth relationship of New Zealand kauri (Agathis
 australis): insights from annual, monthly and daily growth patterns. J
 Wunder, AM Fowler, ER Cook, M Pirie, SPJ McCloskey. Trees 27 (4), 937-948".
 For further R functions for loading your own dendroclimatology datasets and
 performing dendrochronology analysis refer to the R package "dplR:
 Dendrochronology Program Library in R". The concordance procedure is
 intended to add to the standard dendrochronology techniques provided in
 "dplR".

Package: r-cran-dplyr.teradata
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-dbplyr, r-cran-odbc, r-cran-bit64, r-cran-dbi
Suggests: r-cran-blob, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dplyr.teradata_0.4.1-1.ca2004.1_all.deb
Size: 157648
MD5sum: 0ce3870fc4dde5901b3dbcd6228011d5
SHA1: 1bc8a0611ab1aca028ed83722211d6065756e9bc
SHA256: f382104180bf32a3c6d013c71ea7949c7cc496c9005a16e6427aceb00e9b79ed
SHA512: cd99806c03ee3553b3f1cfa3ba9ae4bcba4f28d4b4d2f2e0bb06c98e4da13bbdcbdb1c71a4566862fdec591811d89d822fae388454bef12cf18e723e80f47d98
Homepage: https://cran.r-project.org/package=dplyr.teradata
Description: CRAN Package 'dplyr.teradata' (A 'Teradata' Backend for 'dplyr')
 A 'Teradata' backend for 'dplyr'. It makes it possible to operate 'Teradata'
 database <https://www.teradata.com/products-and-services/teradata-database/>
 in the same way as manipulating data frames with 'dplyr'.

Package: r-cran-dplyrassist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2478
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-shinywidgets, r-cran-shinyace, r-cran-tidyverse, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-plyr, r-cran-dt
Suggests: r-cran-nycflights13, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dplyrassist_0.1.0-1.ca2004.1_all.deb
Size: 2088796
MD5sum: 00fc45017bcc91d7a5aeabfffe060af2
SHA1: 851ae50c67c3546d70d7f6f111639292dc0800f2
SHA256: f5c95ec480346aa6c85beb618f6c762eb32b5bce39d7434bf8064a73803f8901
SHA512: 0c45208dfe693f4223d3a56312e27b1abf738268db173c95c438796b2a5acb28baf8f3097ae950015d5194499a8761209e7b89dd2384cf519140365295b8f794
Homepage: https://cran.r-project.org/package=dplyrAssist
Description: CRAN Package 'dplyrAssist' (RStudio Addin for Teaching and Learning Data Manipulation Using'dplyr')
 An RStudio addin for teaching and learning data manipulation using the
 'dplyr' package.  You can learn each steps of data manipulation by clicking
 your mouse without coding.  You can get resultant data (as a 'tibble') and
 the code for data manipulation.

Package: r-cran-dpm
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lavaan, r-cran-panelr, r-cran-stringr, r-cran-rlang, r-cran-dplyr, r-cran-crayon, r-cran-formula, r-cran-jtools
Suggests: r-cran-broom, r-cran-tibble, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dpm_1.2.0-1.ca2004.1_all.deb
Size: 265208
MD5sum: dd5a17a49c07521d591b7bc6aca558da
SHA1: 45d6205eeba0abfe985687c88e43e87dc8c75e75
SHA256: 08230534c96de191e0a53086918413ab33b92cd88eb4673a838d3a8d434146c2
SHA512: 00b0b56a588f49dac8299171b6e10087ad9f616c846e0457065b973909f4fddc30b765893cf796a12db917082056c137d3492d32d4fd380555e827927035a508
Homepage: https://cran.r-project.org/package=dpm
Description: CRAN Package 'dpm' (Dynamic Panel Models Fit with Maximum Likelihood)
 Implements the dynamic panel models described by Allison, Williams, and
 Moral-Benito (2017 <doi:10.1177/2378023117710578>) in R.  This class of
 models uses structural equation modeling to specify dynamic (lagged
 dependent variable) models with fixed effects for panel data.  Additionally,
 models may have predictors that are only weakly exogenous, i.e., are
 affected by prior values of the dependent variable. Options also allow for
 random effects, dropping the lagged dependent variable, and a number of
 other specification choices.

Package: r-cran-dpmr
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-rio
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dpmr_0.1.9-1.ca2004.1_all.deb
Size: 36784
MD5sum: 04da6809db0ca8d1ae7f8affc0801473
SHA1: 54e105e23440aee59fdeba4058ccb2d613d1a7fc
SHA256: 6631c6a5fae1757f839f741804e968470c9157c27d64d1cf4e0aaca87925646f
SHA512: b2198eea37bcd85fffd94724fb15c5485939ea166fbbd830933e2ea56781cd336c9fa894a4d28d74f4bbeb2330aae3f47cee1324faa603e41028624b35e7ef1a
Homepage: https://cran.r-project.org/package=dpmr
Description: CRAN Package 'dpmr' (Data Package Manager for R)
 Create, install, and summarise data packages that follow the Open Knowledge
 Foundation's Data Package Protocol.

Package: r-cran-dppack
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmutil, r-cran-rdpack, r-cran-r6, r-cran-dplyr, r-cran-mass, r-cran-nloptr, r-cran-e1071, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dppack_0.2.2-1.ca2004.1_all.deb
Size: 898080
MD5sum: 83ffd650c90f9f47f2aae97d0d6eac4a
SHA1: 6fd6b074021e8a938cfc42b0cb8ce76d4dc172e1
SHA256: 44991f936b8e764aae0d33a908d89ba268fc66d5fcd08ab2a3d42dc84829b529
SHA512: 81c94f2809b9bf145660d82c6ded89902f893542d9dd72298fc241bc204209ecfa79191d056a6fe2dc2fe10753c6eccd84d9ad391b006daa6a25862714c2db0d
Homepage: https://cran.r-project.org/package=DPpack
Description: CRAN Package 'DPpack' (Differentially Private Statistical Analysis and Machine Learning)
 An implementation of common statistical analysis and models with
 differential privacy (Dwork et al., 2006a) <doi:10.1007/11681878_14>
 guarantees. The package contains, for example, functions providing
 differentially private computations of mean, variance, median, histograms,
 and contingency tables. It also implements some statistical models and
 machine learning algorithms such as linear regression (Kifer et al., 2012)
 <https://proceedings.mlr.press/v23/kifer12.html> and SVM (Chaudhuri et al.,
 2011) <https://jmlr.org/papers/v12/chaudhuri11a.html>. In addition, it
 implements some popular randomization mechanisms, including the Laplace
 mechanism (Dwork et al., 2006a) <doi:10.1007/11681878_14>, Gaussian
 mechanism (Dwork et al., 2006b) <doi:10.1007/11761679_29>, analytic Gaussian
 mechanism (Balle & Wang, 2018)
 <https://proceedings.mlr.press/v80/balle18a.html>, and exponential mechanism
 (McSherry & Talwar, 2007) <doi:10.1109/FOCS.2007.66>.

Package: r-cran-dppmix
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-dppmix_0.1.1-1.ca2004.1_all.deb
Size: 61208
MD5sum: 122bd99562a598ff2a5b3abde06998a2
SHA1: 9e0747605813f777cf439f5fa54af5b40d28eefc
SHA256: 258f6b09eff73911b636804c337b86dea3562890a0d04d725811d8504bc877e3
SHA512: c2e849ac762322a6cb511b1390eb128e62d33c0d650631574141a8b3fbd4d08cc2947b738ec499bbe9b6e5dfe58045066a146bcf18a83d8a9e17455fc5f5ae22
Homepage: https://cran.r-project.org/package=dppmix
Description: CRAN Package 'dppmix' (Determinantal Point Process Mixture Models)
 Multivariate Gaussian mixture model with a determinant point process prior
 to promote the discovery of parsimonious components from observed data. See
 Xu, Mueller, Telesca (2016) <doi:10.1111/biom.12482>.

Package: r-cran-dpqmpfr
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dpq, r-cran-rmpfr, r-cran-gmp, r-cran-sfsmisc
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dpqmpfr_0.3-3-1.ca2004.1_all.deb
Size: 161616
MD5sum: c6fabddb6922c4cc014ac6beb58ccdd3
SHA1: e81069e9c6b9925ad6d471d81b2e31f4362f5bf6
SHA256: f58ce96476185e8b02d9843feb9ebdd8f31e127aaa88fd16489a5cf6c7e9a2ea
SHA512: a6160aa66299b971cd0749c9810170742f271e568b40563cd81880e83f57f9aa2a8fe80dece65253f098bcd7df929c0a1325921af258cac95c19c1c9a6b102f2
Homepage: https://cran.r-project.org/package=DPQmpfr
Description: CRAN Package 'DPQmpfr' (DPQ (Density, Probability, Quantile) Distribution Computationsusing MPFR)
 An extension to the 'DPQ' package with computations for 'DPQ' (Density
 (pdf), Probability (cdf) and Quantile) functions, where the functions here
 partly use the 'Rmpfr' package and hence the underlying 'MPFR' and 'GMP' C
 libraries.

Package: r-cran-dprint
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dprint_0.0.4-1.ca2004.1_all.deb
Size: 171428
MD5sum: c43d6f481fb6379e0dc56f42b94fca6e
SHA1: 78e810e2bbb22218371a23b2d510117039d62d4b
SHA256: b49f0b031ded652d265fa6725b3c66abf37e0b516631f2da02b088ce81961d1e
SHA512: 5637ee06b5c1ebe89f60d82342ff90eed850471a70db5b8f030fad5854f3d24a6a15f5f5ef88b4648cf68d194cf2eef74c2e6453fe58012597dcae469e1debf9
Homepage: https://cran.r-project.org/package=dprint
Description: CRAN Package 'dprint' (Print Tabular Data to Graphics Device)
 Provides a generalized method for printing tabular data within the R
 environment in order to make the process of presenting high quality tabular
 output seamless for the user.  Output is directed to the R graphics device
 so that tables can be exported to any file format supported by the graphics
 device. Utilizes a formula interface to specify the contents of tables often
 found in manuscripts or business reports.  In addition, formula interface
 provides inline formatting of the numeric cells of a table and renaming
 column labels.

Package: r-cran-dprop
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-extradistr, r-cran-vares
Filename: pool/dists/focal/main/r-cran-dprop_0.1.0-1.ca2004.1_all.deb
Size: 163632
MD5sum: 7c9911cfd5b4c0ad6113618d017a5664
SHA1: f6e438f028b9e11899042edfa40c5fdf44700457
SHA256: 2360b92447228a6197a2fcd6281020944ac53b4918cc3dde8166e163d45e6458
SHA512: 5a825946974ae88b2938d28104f31e4c4c9acd4b8746f248868a03556d1abb9477feae0cd1ddfa8ba7f1e1026f0487a16a9abf21a24243dc448f3a336479bddb
Homepage: https://cran.r-project.org/package=dprop
Description: CRAN Package 'dprop' (Computation of Some Important Distributional Properties)
 Generally, most of the packages specify the probability density function,
 cumulative distribution function, quantile function, and random numbers
 generation of the probability distributions. The present package allows to
 compute some important distributional properties, including the first four
 ordinary and central moments, Pearson's coefficient of skewness and
 kurtosis, the mean and variance, coefficient of variation, median, and
 quartile deviation at some parametric values of several well-known and
 extensively used probability distributions.

Package: r-cran-dptree
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-plyr, r-cran-mass, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-dptree_1.0.1-1.ca2004.1_all.deb
Size: 45060
MD5sum: 471101605d21c0c4217db6767c426928
SHA1: 3e6b8047794fa5772639379e2694e14b8d1dcdca
SHA256: d3c6f5d500438b75f0b6de4d72cd90d8fbb51505af4ca206c88dcd3f3d8c87f1
SHA512: 21891871dd8306c945b19ad4a528cf9733ace429d2742526cdae88f0f6e2c47869fdb666f808411a884947363ed57f430c6e3551fc2189b97401b5b4c8173b2f
Homepage: https://cran.r-project.org/package=DPtree
Description: CRAN Package 'DPtree' (Dirichlet-Based Polya Tree)
 Contains functions to perform copula estimation by the non-parametric
 Bayesian method, Dirichlet-based Polya Tree. See Ning (2018)
 <doi:10.1080/00949655.2017.1421194>.

Package: r-cran-dqagui
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-daterangepicker, r-cran-diztools, r-cran-dizutils, r-cran-dqastats, r-cran-dt, r-cran-jsonlite, r-cran-knitr, r-cran-lubridate, r-cran-magrittr, r-cran-parsedate, r-cran-shiny, r-cran-shinyalert, r-cran-shinydashboard, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinywidgets, r-cran-waiter
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dqagui_0.2.6-1.ca2004.1_all.deb
Size: 192752
MD5sum: 4d306c136c3c9c9d687963717a262e86
SHA1: 9a85b5b2a7c1ec69092d0efd0ef0ab409fb67b68
SHA256: eae7ec9a9f9bd8088da7c284b0b837cebd7f25dcc2ff78e01f3ae5f2e003044c
SHA512: 6b8740d56f38d555c115a83dff2236e1610fe8d0ff43e4ba9952700e32b750bcb27655f42fefee95d515a4e361f1a71d02a0da499d47ff3252b6dbc31158e194
Homepage: https://cran.r-project.org/package=DQAgui
Description: CRAN Package 'DQAgui' (Graphical User Interface for Data Quality Assessment)
 A graphical user interface (GUI) to the functions implemented in the R
 package 'DQAstats'. Publication: Mang et al. (2021)
 <doi:10.1186/s12911-022-01961-z>.

Package: r-cran-dqastats
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-diztools, r-cran-dizutils, r-cran-future.apply, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-parsedate, r-cran-quarto, r-cran-tinytex
Suggests: r-cran-dt, r-cran-lintr, r-cran-remotes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dqastats_0.3.9-1.ca2004.1_all.deb
Size: 278516
MD5sum: d0d096a142a89c553b6d5bce76f8fc06
SHA1: 629a90ae076c04d531500ab97d83a7cfd6e429b9
SHA256: 8132fe79e682de49e03d57936810a858e8ca2639674a9c0ec52dbae714c70af2
SHA512: 78202a936c78d9e401dda41edec51670e35d90402ffbf94704e3b46aacea0e4408a7a8bd595f2f6b95c4790cb9d76dd5e42c8ed19cf11d7b299bcc36e88cb0d3
Homepage: https://cran.r-project.org/package=DQAstats
Description: CRAN Package 'DQAstats' (Core Functions for Data Quality Assessment)
 Perform data quality assessment ('DQA') of electronic health records
 ('EHR'). Publication: Kapsner et al. (2021) <doi:10.1055/s-0041-1733847>.

Package: r-cran-dqtg.seq
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1144
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bb, r-cran-data.table, r-cran-doparallel, r-cran-openxlsx, r-cran-qtl, r-cran-stringr, r-cran-writexl, r-cran-vroom, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-dqtg.seq_1.0.2-1.ca2004.1_all.deb
Size: 951180
MD5sum: 57a84571083139a69a087394f5ff0755
SHA1: 12897462545e1f2412c21e7293266f99d553bb82
SHA256: b9ebb82254ae99f192f58237b614569286e405bd8700b1ce8c6db622004a665a
SHA512: 353284576a541ff8712310ef1226967e62c31f8ca795251a3d54d502f504e3b32e4bb09a9362e029b50e7ac65064e5111921b3566770652e62dbc0975913734b
Homepage: https://cran.r-project.org/package=dQTG.seq
Description: CRAN Package 'dQTG.seq' (A BSA Software for Detecting All Types of QTLs in BC, DH, RILand F2)
 The new (dQTG.seq1 and dQTG.seq2) and existing (SmoothLOD, G', deltaSNP and
 ED) bulked segregant analysis methods are used to identify various types of
 quantitative trait loci for complex traits via extreme phenotype individuals
 in bi-parental segregation populations (F2, backcross, doubled haploid and
 recombinant inbred line). The numbers of marker alleles in extreme low and
 high pools are used in existing methods to identify trait-related genes,
 while the numbers of marker alleles and genotypes in extreme low and high
 pools are used in the new methods to construct a new statistic Gw for
 identifying trait-related genes. dQTG-seq2 is feasible to identify extremely
 over-dominant and small-effect genes in F2. Li P, Li G, Zhang YW, Zuo JF,
 Liu JY, Zhang YM (2022, <doi: 10.1016/j.xplc.2022.100319>).

Package: r-cran-dr4pl
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 903
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-tensor, r-cran-rdpack, r-cran-generics, r-cran-rlang, r-cran-glue
Suggests: r-cran-drc, r-cran-devtools, r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dr4pl_2.0.0-1.ca2004.1_all.deb
Size: 582644
MD5sum: 3b893dd912dada0854054467d75367b7
SHA1: d906a108badc16638d1ce81a2c189e6e0f8d11fa
SHA256: 35038edab86a7f5c9b96e423be7b5d57f7fd02623bb48443678005cd6987ed56
SHA512: 65dc1fbf84151b99555c586bad74f8b0a224f7a30024183a2688c436ef931f135ff52f2bedce3ba27ec43792762e40cd5425fd858081b83d2ed9648af1dd57a2
Homepage: https://cran.r-project.org/package=dr4pl
Description: CRAN Package 'dr4pl' (Dose Response Data Analysis using the 4 Parameter Logistic (4pl)Model)
 Models the relationship between dose levels and responses in a
 pharmacological experiment using the 4 Parameter Logistic model. Traditional
 packages on dose-response modelling such as 'drc' and 'nplr' often draw
 errors due to convergence failure especially when data have outliers or
 non-logistic shapes. This package provides robust estimation methods that
 are less affected by outliers and other initialization methods that work
 well for data lacking logistic shapes. We provide the bounds on the
 parameters of the 4PL model that prevent parameter estimates from diverging
 or converging to zero and base their justification in a statistical
 principle. These methods are used as remedies to convergence failure
 problems.  Gadagkar, S. R. and Call, G. B. (2015)
 <doi:10.1016/j.vascn.2014.08.006> Ritz, C. and Baty, F. and Streibig, J. C.
 and Gerhard, D. (2015) <doi:10.1371/journal.pone.0146021>.

Package: r-cran-dr
Architecture: all
Version: 3.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dr_3.0.11-1.ca2004.1_all.deb
Size: 439968
MD5sum: 94695456d6d4fd3e1e4d25f1cfe680b7
SHA1: a7ab6914a4253b0273c7fc9ee9617a4addf5ef3d
SHA256: 4dada7898286ae83d4e6c672875757c81001eb703d65d5f957b72624d6eaf593
SHA512: 209babb0b2b68a948af2b22549d75aa25204efc32df08934b32e213281437e02864aa98265fd997244171e594f0c9df570c8abbb156569e438826f4e1b4298fa
Homepage: https://cran.r-project.org/package=dr
Description: CRAN Package 'dr' (Methods for Dimension Reduction for Regression)
 Functions, methods, and datasets for fitting dimension reduction regression,
 using slicing (methods SAVE and SIR), Principal Hessian Directions (phd,
 using residuals and the response), and an iterative IRE.  Partial methods,
 that condition on categorical predictors are also available.  A variety of
 tests, and stepwise deletion of predictors, is also included.  Also included
 is code for computing permutation tests of dimension.  Adding additional
 methods of estimating dimension is straightforward.  For documentation, see
 the vignette in the package.  With version 3.0.4, the arguments for dr.step
 have been modified.

Package: r-cran-dragon
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2519
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-config, r-cran-golem, r-cran-shiny, r-cran-dt, r-cran-ggplot2, r-cran-readr, r-cran-openxlsx, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-broom, r-cran-cowplot, r-cran-ggforce, r-cran-magrittr, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-colourpicker, r-cran-colorspace, r-cran-visnetwork, r-cran-igraph, r-cran-rlang, r-cran-htmltools, r-cran-promises, r-cran-future, r-cran-lubridate, r-cran-xml2, r-cran-rvest, r-cran-curl, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-processx, r-cran-knitr, r-cran-zip, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dragon_1.2.1-1.ca2004.1_all.deb
Size: 2414416
MD5sum: d18620d824382599726a3c2aa81bce6f
SHA1: 81134e4b6b2ff9e48e032eae0ad57ad329d416e2
SHA256: 304ceb0477b3385741a210ed052920da7fb00ffc78c5d1126ecfd3c929c135db
SHA512: d5e7ebc4aee07b4cdf0cae8f07b2bd482d6ce680e8be2cbf6436cb74058d816e63c832f734a850e4690841d1cdd67f4458bcd95ade74fc17d955cdeba4121cec
Homepage: https://cran.r-project.org/package=dragon
Description: CRAN Package 'dragon' (Deep Time Redox Analysis of the Geobiology Ontology Network)
 Create, visualize, manipulate, and analyze bipartite mineral-chemistry
 networks for set of focal element(s) across deep-time on Earth. The method
 is described in Spielman and Moore (2020) <doi:10.3389/feart.2020.585087>.

Package: r-cran-dragonking
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dragonking_0.1.0-1.ca2004.1_all.deb
Size: 28696
MD5sum: 9c4c9f263efa76f770251913452c6c96
SHA1: 87bbd6a14406798feab0ff9d84af8790f74b100d
SHA256: 8761d11fc6a6c2ce876420c84f62be9616ba82a2519b3f01ee6883d2dabc8479
SHA512: b37f3648e7456ece8051b30642c0619dc0e787c032c32695e42dd02bf77fe0298deed86d63a95704dc2113f1a8bd192431fbf84e404c221cf92dc545dcdf13e5
Homepage: https://cran.r-project.org/package=dragonking
Description: CRAN Package 'dragonking' (Statistical Tools to Identify Dragon Kings)
 Statistical tests and test statistics to identify events in a dataset that
 are dragon kings (DKs). The statistical methods in this package were
 reviewed in Wheatley & Sornette (2015) <doi:10.2139/ssrn.2645709>.

Package: r-cran-dragracer
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dragracer_0.1.7-1.ca2004.1_all.deb
Size: 231320
MD5sum: 93834b13dfbae5dddd9f94c17ca9fa3a
SHA1: 5cd8029d0eae231b20a00d723dfdeb7aaf758d5c
SHA256: dee5dd4dd5a11fb6aa9488fe7e064b4bde80e800718ee4c02eb93eb62b7c516b
SHA512: 57d989d003b7dd56fb6bdc2480768a6f46166789928a101c0f80a5bb9163db9e1346b361740db5cefd22bd0d36a51dec03c86c465ea6b5b762ff2e54af7344f8
Homepage: https://cran.r-project.org/package=dragracer
Description: CRAN Package 'dragracer' (Data Sets for RuPaul's Drag Race)
 These are data sets for the hit TV show, RuPaul's Drag Race.  Data right now
 include episode-level data, contestant-level data, and
 episode-contestant-level data. This is a work in progress, and a love letter
 of a kind to RuPaul's Drag Race and the performers that have appeared on the
 show.  This may not be the most productive use of my time, but I have tenure
 and what are you going to do about it? I think there is at least some value
 in this package if it allows the show's fandom to learn more about the R
 programming language around its contents.

Package: r-cran-dragular
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dragular_0.3.1-1.ca2004.1_all.deb
Size: 26104
MD5sum: 5d151212600e1b08cee0f949caedb115
SHA1: aa409e32449ec367007c1fa3b7e7635bb35641a2
SHA256: 8ce4eeed5bcb2154c3782f50c702ec2c027e0ea799ec85652e127510d64363aa
SHA512: c8f12de1f0f3d8e42be23355963de8ab0ffbc4b8584ea9f57477236b3256baa006a63e51435b8b0cd5570e8f0aac2e050102a9d288f067e4ca2277d912638b6f
Homepage: https://cran.r-project.org/package=dragulaR
Description: CRAN Package 'dragulaR' (Drag and Drop Elements in 'Shiny' using 'Dragula JavascriptLibrary')
 Move elements between containers in 'Shiny' without explicitly using
 'JavaScript'. It can be used to build custom inputs or to change the
 positions of user interface elements like plots or tables.

Package: r-cran-drake
Architecture: all
Version: 7.13.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2659
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64url, r-cran-digest, r-cran-igraph, r-cran-rlang, r-cran-storr, r-cran-tidyselect, r-cran-txtq, r-cran-vctrs
Suggests: r-cran-abind, r-cran-bindr, r-cran-callr, r-cran-cli, r-cran-clustermq, r-cran-crayon, r-cran-curl, r-cran-data.table, r-cran-disk.frame, r-cran-downloader, r-cran-fst, r-cran-future, r-cran-ggplot2, r-cran-ggraph, r-cran-keras, r-cran-knitr, r-cran-lubridate, r-cran-networkd3, r-cran-prettycode, r-cran-progress, r-cran-qs, r-cran-rcpp, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-styler, r-cran-testthat, r-cran-tibble, r-cran-txtplot, r-cran-usethis, r-cran-visnetwork, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-drake_7.13.11-1.ca2004.1_all.deb
Size: 2260968
MD5sum: 42c21cd647fb4613a3e7ea0a44584a40
SHA1: 45d60fde73fe220ad65e194f436de57f7801cd02
SHA256: edbfbd2af84eaaea9a38b08a6715855a8226e1dd5acaf3e397749e46f42a9b6b
SHA512: d598972b0ccdfaae2fb1565e37fc527d136512a637beedf1d1733f835e63bf3d302e72e818334411a1a180988110fb909fc01e0dd948588828f3f26ec38d5d56
Homepage: https://cran.r-project.org/package=drake
Description: CRAN Package 'drake' (A Pipeline Toolkit for Reproducible Computation at Scale)
 A general-purpose computational engine for data analysis, drake rebuilds
 intermediate data objects when their dependencies change, and it skips work
 when the results are already up to date.  Not every execution starts from
 scratch, there is native support for parallel and distributed computing, and
 completed projects have tangible evidence that they are reproducible.
 Extensive documentation, from beginner-friendly tutorials to practical
 examples and more, is available at the reference website
 <https://docs.ropensci.org/drake/> and the online manual
 <https://books.ropensci.org/drake/>.

Package: r-cran-dramaanalysis
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-readr, r-cran-data.table, r-cran-httr, r-cran-git2r, r-cran-xml2, r-cran-tokenizers, r-cran-stringr
Suggests: r-cran-testthat, r-cran-fmsb, r-cran-knitr, r-cran-magrittr, r-cran-highcharter, r-cran-rmarkdown, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-dramaanalysis_3.0.2-1.ca2004.1_all.deb
Size: 774020
MD5sum: 069d2a4c45b542f2f40eaef2149c7d1f
SHA1: 07668a153e936fbbf8557cc5b6c09122cd26ebf7
SHA256: a8df9067df7cf4e9ffd1ba95e17c22c5c4e98ca081e451d7c6a371caca2a17b4
SHA512: ae972a688e8e6faaf3e93794db60aca5e7277cc9917f36e8c556ec848ab703f46e9d172770b346767050ef9f261196123dd229e6bae11c9f5566eafe98434282
Homepage: https://cran.r-project.org/package=DramaAnalysis
Description: CRAN Package 'DramaAnalysis' (Analysis of Dramatic Texts)
 Analysis of preprocessed dramatic texts, with respect to literary research.
 The package provides functions to analyze and visualize information about
 characters, stage directions, the dramatic structure and the text itself.
 The dramatic texts are expected to be in CSV format, which can be installed
 from within the package, sample texts are provided. The package and the
 reasoning behind it are described in Reiter et al. (2017)
 <doi:10.18420/in2017_119>.

Package: r-cran-drape
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-doubleml, r-cran-glmnet, r-cran-hdi, r-cran-knitr, r-cran-matrix, r-cran-mlr3, r-cran-paradox, r-cran-partykit, r-cran-rjson, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-drape_0.0.2-1.ca2004.1_all.deb
Size: 111204
MD5sum: 4d28f7866b3c1b17a429064506a5b7e3
SHA1: b790db28603ce81fd508754b85176775237a6b4f
SHA256: 8499e1c9fb3c601ed27f98e406e4394101f09c4dd336ac27ac4bf01aa567264a
SHA512: 72c05934b3bad0aa2eb8f220622b2570f5737f53c326239742db50b7a48c0500df554e81692c2ed8a69c771b14117063ad9ac12ff3d849cb1e8e405a116f0003
Homepage: https://cran.r-project.org/package=drape
Description: CRAN Package 'drape' (Doubly Robust Average Partial Effects)
 Doubly robust average partial effect estimation. This implementation
 contains methods for adding additional smoothness to plug-in regression
 procedures and for estimating score functions using smoothing splines.
 Details of the method can be found in Harvey Klyne and Rajen D. Shah (2023)
 <doi:10.48550/arXiv.2308.09207>.

Package: r-cran-drat
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-git2r, r-cran-simplermarkdown
Filename: pool/dists/focal/main/r-cran-drat_0.2.5-1.ca2004.1_all.deb
Size: 195488
MD5sum: e77d82714431366b5f32be753a271298
SHA1: c3b7e6cafee4a1dfe977fa4f7518bc880b81a1c6
SHA256: e88066cdc90a88bfd15a1670b4742d7b64a71b0b7b590f79e6de15dcf8a4decf
SHA512: 49745eb0dc93644e2d9665c6d3db70d4f9d43fff49370925788b93648fb8da4e51ad8bc182746220de33875d847208054f91d3195624dab07251d9b2ae5bc72f
Homepage: https://cran.r-project.org/package=drat
Description: CRAN Package 'drat' ('Drat' R Archive Template)
 Creation and use of R Repositories via helper functions to insert packages
 into a repository, and to add repository information to the current R
 session. Two primary types of repositories are support: gh-pages at GitHub,
 as well as local repositories on either the same machine or a local network.
 Drat is a recursive acronym: Drat R Archive Template.

Package: r-cran-draw
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-draw_1.0.0-1.ca2004.1_all.deb
Size: 74104
MD5sum: 32506f8ae20de808182ff647aa7ac1e1
SHA1: 9a73c162fca6b0d559bde25aeace27e876b10a58
SHA256: b4eae7df6e5b01cd2c733fcd046ce956ae5b5bbc7e8873809e02954be033ab5e
SHA512: 9a5a48be62a69e6c52475d8950437a26ba00e5c8f1a84be0ab9fd5800cb2f8583cc579e49786e7081a6bb5b16d85384a42b1bedc24c28bcc5e70275a193c2c97
Homepage: https://cran.r-project.org/package=draw
Description: CRAN Package 'draw' (Wrapper Functions for Producing Graphics)
 A set of user-friendly wrapper functions for creating consistent graphics
 and diagrams with lines, common shapes, text, and page settings.  Compatible
 with and based on the R 'grid' package.

Package: r-cran-drawer
Architecture: all
Version: 0.2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-glue, r-cran-bsplus, r-cran-shiny, r-cran-stringr
Suggests: r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-drawer_0.2.0.1-1.ca2004.1_all.deb
Size: 185744
MD5sum: f7b5b56debb1270a8076a395844bbfdd
SHA1: 9d3c40b2f47266475777abf31cba9c393ec34bb1
SHA256: b0967c6375b8a45bc8c37d3e324b88a27ceb7ae959cfd8edcca54b0079e449a1
SHA512: d3ca701e4e0c4a6b835d7756b97cd03866829423aad349534bb05151365f180dfdc041d87d3c0e6557ad10e6234626bf4b9cf72de6742f5acf7ab6b157f3bf5f
Homepage: https://cran.r-project.org/package=drawer
Description: CRAN Package 'drawer' (An Interactive HTML Image Editing Tool)
 An interactive image editing tool that can be added as part of the HTML in
 Shiny, R markdown or any type of HTML document. Often times, plots, photos
 are embedded in the web application/file. 'drawer' can take screenshots of
 these image-like elements, or any part of the HTML document and send to an
 image editing space called 'canvas' to allow users immediately edit the
 screenshot(s) within the same document. Users can quickly combine, compare
 different screenshots, upload their own images and maybe make a scientific
 figure.

Package: r-cran-drawr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-drawr_1.0.3-1.ca2004.1_all.deb
Size: 45212
MD5sum: edb15645054669ede85e2647e2770f17
SHA1: 3237bcf0f48dc096c3833bfd5943af9e9be64cfb
SHA256: f54339f079ef266674680668c27525672dbf03a1e9f0ecd5b3d5e0d57080ba62
SHA512: 9f7331888ac44bdbfefb9b0d7db450ed7c75c2b34b861acd06cdb8754e1adc367bcb2f3d3296469fa785a99d68005be7d4f68345d727ba1c5bac3f196299217b
Homepage: https://cran.r-project.org/package=DRaWR
Description: CRAN Package 'DRaWR' (Discriminative Random Walk with Restart)
 We present DRaWR, a network-based method for ranking genes or properties
 related to a given gene set. Such related genes or properties are identified
 from among the nodes of a large, heterogeneous network of biological
 information. Our method involves a random walk with restarts, performed on
 an initial network with multiple node and edge types, preserving more of the
 original, specific property information than current methods that operate on
 homogeneous networks. In this first stage of our algorithm, we find the
 properties that are the most relevant to the given gene set and extract a
 subnetwork of the original network, comprising only the relevant properties.
 We then rerank genes by their similarity to the given gene set, based on a
 second random walk with restarts, performed on the above subnetwork.

Package: r-cran-drawsample
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-lattice, r-cran-tibble, r-cran-psych, r-cran-moments, r-cran-readxl, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-xlsx
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drawsample_1.0.1-1.ca2004.1_all.deb
Size: 248724
MD5sum: 4ba29e43df0a1d23d73e4b06d1d2a099
SHA1: 038fe75287ed21a6f306c7e955a6fb3ad885bf51
SHA256: 1af6951fb7a106bb0b7e018ca17d8e48f4850010e90a8f90445c88cb9f457123
SHA512: 7a05582c10fb31f7be71de5933c7ffd728eaef99a214e83ea71914a3ff5f41721af4e25c8c45afb37cc5b8f463afb91c922a61e81ce392a831b0be328c3eed5c
Homepage: https://cran.r-project.org/package=drawsample
Description: CRAN Package 'drawsample' (Draw Samples with the Desired Properties from a Data Set)
 A tool to sample data with the desired properties.Samples can be drawn by
 purposive sampling with determining distributional conditions, such as
 deviation from normality (skewness and kurtosis), and sample size in
 quantitative research studies.  For purposive sampling, a researcher has
 something in mind and participants that fit the purpose of the study are
 included (Etikan,Musa, & Alkassim, 2015)
 <doi:10.11648/j.ajtas.20160501.11>.Purposive sampling can be useful for
 answering many research questions (Klar & Leeper, 2019)
 <doi:10.1002/9781119083771.ch21>.

Package: r-cran-drayl
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-rconics, r-cran-rmutil, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-drayl_1.0-1.ca2004.1_all.deb
Size: 40860
MD5sum: 76ec6686574de0188ad9b1817aac7d5d
SHA1: eb41191b84e3ed2b7e6698559c7cc079011ddd02
SHA256: bdaa0ba8f3e90e90423bdacebb55adcf7cb6726b89601fc12805a797b786950c
SHA512: 7c59b5a337df89801050a66df89a6817daf77d319077eec0312cfb8a80b34acd868fb78d8532122d3b75e07c1b81c257591dbbd0a8c5c20fd4074ac7cb47147a
Homepage: https://cran.r-project.org/package=DRAYL
Description: CRAN Package 'DRAYL' (Computation of Rayleigh Densities of Arbitrary Dimension)
 We offer an implementation of the series representation put forth in "A
 series representation for multidimensional Rayleigh distributions" by
 Wiegand and Nadarajah <DOI: 10.1002/dac.3510>. Furthermore we have
 implemented an integration approach proposed by Beaulieu et al. for 3 and
 4-dimensional Rayleigh densities (Beaulieu, Zhang, "New simplest exact forms
 for the 3D and 4D multivariate Rayleigh PDFs with applications to antenna
 array geometrics", <DOI: 10.1109/TCOMM.2017.2709307>).

Package: r-cran-drbats
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1502
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-ade4, r-cran-coda, r-cran-mass, r-cran-matrix, r-cran-sde
Suggests: r-cran-fda, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drbats_0.1.6-1.ca2004.1_all.deb
Size: 1295360
MD5sum: 462bd3cda68ec4c000fc5ac0eb76e451
SHA1: 4b5479466639a48a154326cd725aef3c12f7906c
SHA256: f80413144b1e6b47a3a0ceb49e54378936fa802589539f102b15cdc6832ebaae
SHA512: e68df96294f626e9c60292908401c7f0aa0a0ff44e8e8cd7bef5c8b73b04a0fddb4ee021b73369c8b943e1eefc6e203edf7baf807e4a5c961979353708af82ab
Homepage: https://cran.r-project.org/package=DrBats
Description: CRAN Package 'DrBats' (Data Representation: Bayesian Approach That's Sparse)
 Feed longitudinal data into a Bayesian Latent Factor Model to obtain a
 low-rank representation. Parameters are estimated using a Hamiltonian Monte
 Carlo algorithm with STAN. See G. Weinrott, B. Fontez, N. Hilgert and S.
 Holmes, "Bayesian Latent Factor Model for Functional Data Analysis", Actes
 des JdS 2016.

Package: r-cran-drc
Architecture: all
Version: 3.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 984
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-car, r-cran-gtools, r-cran-multcomp, r-cran-plotrix, r-cran-scales
Filename: pool/dists/focal/main/r-cran-drc_3.0-1-1.ca2004.1_all.deb
Size: 884996
MD5sum: b28b64120767b90bce7360adb1c61f4b
SHA1: 41021bdee44de51a34a14d0a96e392c1e846a93a
SHA256: c1a30fe17ac8f05b442b5b3c56500421cd1a672167ac5413d86a9386e43e6a70
SHA512: 0de70a558046969759a21709d9ebb4d6e0512d33ad99303ebaa1ec6be8edba8b6a73db3fd82354c9804b530f04a0bc24fdf0e030960b58296a1120bfe1bafd54
Homepage: https://cran.r-project.org/package=drc
Description: CRAN Package 'drc' (Analysis of Dose-Response Curves)
 Analysis of dose-response data is made available through a suite of flexible
 and versatile model fitting and after-fitting functions.

Package: r-cran-drcarlate
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 510
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma, r-cran-mass, r-cran-stringr, r-cran-splus2r, r-cran-glmnet, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drcarlate_1.2.0-1.ca2004.1_all.deb
Size: 192944
MD5sum: eaf2500bf362b68c4fe4bc87e2166990
SHA1: 4e1a022e89bc9cebe6093fcef87812c72ce74553
SHA256: 456031772daff20429cf5b4886de851f63e0697a81c7897625fd7d0b32f376d6
SHA512: b722041b07b333cd6c83424676522e17270ec994c3918fab7ecddb9c8da9d9808d7f6b0e1e5a09da183267c2bf162b577362e9aa554ea8808ceee5ecebc5f954
Homepage: https://cran.r-project.org/package=drcarlate
Description: CRAN Package 'drcarlate' (Improving Estimation Efficiency in CAR with Imperfect Compliance)
 We provide a list of functions for replicating the results of the Monte
 Carlo simulations and empirical application of Jiang et al. (2022).  In
 particular, we provide corresponding functions for generating the three
 types of random data described in this paper, as well as all the estimation
 strategies.  Detailed information about the data generation process and
 estimation strategy can be found in Jiang et al. (2022)
 <doi:10.48550/arXiv.2201.13004>.

Package: r-cran-drclass
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-drclass_0.1.0-1.ca2004.1_all.deb
Size: 49792
MD5sum: 494df340d2378b6158fc5479e1205cf6
SHA1: 2baa4fce58caa67abefabcfde71e9193a59081bc
SHA256: c4ed0e25a293408bb6e207cc569f03c1b292b91cfe74bd46dddc3a2cad280957
SHA512: 15e49048b823c76a3a83f19b0c3169a79345990d67bd846d1c1f553e4f33165cc21b473ebb02bd43d0f7595fdbd1f9a87243b3a5bd16323c30edf5003bac2f0c
Homepage: https://cran.r-project.org/package=DRclass
Description: CRAN Package 'DRclass' (Consider Ambiguity in Probabilistic Descriptions Using DensityRatio Classes)
 Consider ambiguity in probabilistic descriptions by replacing a parametric
 probabilistic description of uncertainty by a non-parametric set of
 probability distributions in the form of a Density Ratio Class. This is of
 particular interest in Bayesian inference.  The Density Ratio Class is
 particularly suited for this purpose as it is invariant under Bayesian
 inference, marginalization, and propagation through a deterministic model.
 Here, invariant means that the result of the operation applied to a Density
 Ratio Class is again a Density Ratio Class. In particular the invariance
 under Bayesian inference thus enables iterative learning within the same
 framework of Density Ratio Classes.  The use of imprecise probabilities in
 general, and Density Ratio Classes in particular, lead to intervals of
 characteristics of probability distributions, such as cumulative
 distribution functions, quantiles, and means.  The package is based on a
 sample of the distribution proportional to the upper bound of the class.
 Typically this will be a sample from the posterior in Bayesian inference.
 Based on such a sample, the package provides functions to calculate lower
 and upper class boundaries and lower and upper bounds of cumulative
 distribution functions, and quantiles.  Rinderknecht, S.L., Albert, C.,
 Borsuk, M.E., Schuwirth, N., Kuensch, H.R. and Reichert, P. (2014) "The
 effect of ambiguous prior knowledge on Bayesian model parameter inference
 and prediction." Environmental Modelling & Software. 62, 300-315, 2014.
 <doi:10.1016/j.envsoft.2014.08.020>.  Sriwastava, A. and Reichert, P.
 "Robust Bayesian Estimation of Value Function Parameters using Imprecise
 Priors." Submitted.
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4973574>.

Package: r-cran-drcseedgerm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-drc, r-cran-drcte, r-cran-plyr, r-cran-dplyr, r-cran-mvtnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-drcseedgerm_1.0.1-1.ca2004.1_all.deb
Size: 367028
MD5sum: 206a039b0b9c674536227639f686d079
SHA1: b91f33489c30cea972f2d503d4159f679c12bcfc
SHA256: bc71e6bc9fafcb2342598747cc3b66e7895e33644192b6678e3bb3860632f118
SHA512: 471cf382e495f81d5064856ebf9eed93d50d85d0d8ae67f344380ffdfe6fd301402f8868caef72a61aa2f5408954939760cb9da0d2421016be75727a7d9ddd3d
Homepage: https://cran.r-project.org/package=drcSeedGerm
Description: CRAN Package 'drcSeedGerm' (Utilities for Data Analyses in Seed Germination/Emergence Assays)
 Utility functions to be used to analyse datasets obtained from seed
 germination/emergence assays. Fits several types of seed
 germination/emergence models, including those reported in Onofri et al.
 (2018) "Hydrothermal-time-to-event models for seed germination", European
 Journal of Agronomy, 101, 129-139 <doi:10.1016/j.eja.2018.08.011>. Contains
 several datasets for practicing.

Package: r-cran-drcte
Architecture: all
Version: 1.0.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-drc, r-cran-plyr, r-cran-nor1mix, r-cran-mclust, r-cran-survival, r-cran-sandwich, r-cran-lmtest, r-cran-dplyr, r-cran-multcomp, r-cran-tidyr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-drcte_1.0.30-1.ca2004.1_all.deb
Size: 463000
MD5sum: 621f854aaefd0af893fd7f7f89c6dcfb
SHA1: aa34d0211a75b4afccb5da8d57faf37dcd070a94
SHA256: d047e69167988f7879c1624a7d63056154a904045637c0eceafa782065b1ed66
SHA512: 9462f84d5618d8d1d4de273dfd60fd4b5e4e39973a2f123a2f941cb28c99e0d208844e24fdc20c9d9b6ed3822d2eabd3c347909ec46140b73a17774a77842e91
Homepage: https://cran.r-project.org/package=drcte
Description: CRAN Package 'drcte' (Statistical Approaches for Time-to-Event Data in Agriculture)
 A specific and comprehensive framework for the analyses of time-to-event
 data in agriculture. Fit non-parametric and parametric time-to-event models.
 Compare time-to-event curves for different experimental groups. Plots and
 other displays. It is particularly tailored to the analyses of data from
 germination and emergence assays. The methods are described in Onofri et al.
 (2020) "A unified framework for the analysis of germination, emergence, and
 other time-to-event data in weed science"", Weed Science, 70, 259-271
 <doi:10.1017/wsc.2022.8>.

Package: r-cran-drda
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1200
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drda_2.0.5-1.ca2004.1_all.deb
Size: 1058716
MD5sum: d11f9387dc089b7d7541702948cdb137
SHA1: aa11c994f31dcc86119542bde0fed9af693b9a62
SHA256: fa219cd816d03fe61b489dcf1a789597125fa0a5b5014539934530862919ae58
SHA512: 10b406d2a1f4edb91098e55d7f7d6ae4e70d97fcc4dcd5db78e905bfea882a966670f744ce87b25ccd420c00458149c980a424777efa020fd4fe0e69c172418f
Homepage: https://cran.r-project.org/package=drda
Description: CRAN Package 'drda' (Dose-Response Data Analysis)
 Fit logistic functions to observed dose-response continuous data and
 evaluate goodness-of-fit measures. See Malyutina A., Tang J., and Pessia A.
 (2023) <doi:10.18637/jss.v106.i04>.

Package: r-cran-drdimont
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1436
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-dplyr, r-cran-stringr, r-cran-wgcna, r-cran-rfast, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-magrittr, r-cran-rlang, r-cran-reticulate
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-drdimont_0.1.4-1.ca2004.1_all.deb
Size: 1221468
MD5sum: 987a94ec74123845dbaf2913c9419d85
SHA1: ee06d64e5a614bebc3ad32f1f95ef42661dc06d9
SHA256: 579ca9fb48369091b6376d273f91e0de4d7f36043aeabfa200c068c027aefefd
SHA512: ab6e01a466c23f5a11828aabcc08e591e0537810514edf5e1f30504ebae7e3668036df0c6f878df18de218216aa85b45bbb14030b6ce604564cfaf59c8ac1974
Homepage: https://cran.r-project.org/package=DrDimont
Description: CRAN Package 'DrDimont' (Drug Response Prediction from Differential Multi-Omics Networks)
 While it has been well established that drugs affect and help patients
 differently, personalized drug response predictions remain challenging.
 Solutions based on single omics measurements have been proposed, and
 networks provide means to incorporate molecular interactions into reasoning.
 However, how to integrate the wealth of information contained in multiple
 omics layers still poses a complex problem.  We present a novel network
 analysis pipeline, DrDimont, Drug response prediction from Differential
 analysis of multi-omics networks. It allows for comparative conclusions
 between two conditions and translates them into differential drug response
 predictions. DrDimont focuses on molecular interactions. It establishes
 condition-specific networks from correlation within an omics layer that are
 then reduced and combined into heterogeneous, multi-omics molecular
 networks.  A novel semi-local, path-based integration step ensures
 integrative conclusions.  Differential predictions are derived from
 comparing the condition-specific integrated networks. DrDimont's predictions
 are explainable, i.e., molecular differences that are the source of high
 differential drug scores can be retrieved.  Our proposed pipeline leverages
 multi-omics data for differential predictions, e.g. on drug response, and
 includes prior information on interactions.  The case study presented in the
 vignette uses data published by Krug (2020)
 <doi:10.1016/j.cell.2020.10.036>. The package license applies only to the
 software and explicitly not to the included data.

Package: r-cran-drdrtest
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-superlearner
Filename: pool/dists/focal/main/r-cran-drdrtest_0.1-1.ca2004.1_all.deb
Size: 52972
MD5sum: e5f49d70efe3e07981f18711773f634a
SHA1: 06c4d64625ac751b767d674a625221db109c4f97
SHA256: 847e8a3212ee4778af6f347164b1cbaf35607fe74ae708a2ff8afe370c35ae05
SHA512: a38107bec0dccc5e5889ee83b03218423a8f92cfeb5d5cd35c4d18ba58dbf7e3bc0dd3a9ebdcb434b3557e035cfc68af1a1bb9d092d7a2b524ffa12afcdead76
Homepage: https://cran.r-project.org/package=DRDRtest
Description: CRAN Package 'DRDRtest' (A Nonparametric Doubly Robust Test for Continuous TreatmentEffect)
 Implement the statistical test proposed in Weng et al. (2021) to test
 whether the average treatment effect curve is constant and whether a
 discrete covariate is a significant effect modifier.

Package: r-cran-dreamer
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1361
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-dplyr, r-cran-ellipsis, r-cran-ggplot2, r-cran-purrr, r-cran-rootsolve, r-cran-rjags, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-fs, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dreamer_3.2.0-1.ca2004.1_all.deb
Size: 979280
MD5sum: e4b1236f926d03e61e82e309da3188e7
SHA1: a99dc96a7a24b0a3d9d2bfcb9a9e71e02ddffdff
SHA256: 760821749b1c30cc724e163558678c6ee577324002ef7cededf7a4207cc2c78a
SHA512: 031f295548a094bc8b9a7bfeb57a5efb14a12cf46886b81c8a34c1f1130dc9e46348345ce3af38bd4162f5dec86c0ea4930015b193fc2f9485eeed2b52949573
Homepage: https://cran.r-project.org/package=dreamer
Description: CRAN Package 'dreamer' (Dose Response Models for Bayesian Model Averaging)
 Fits dose-response models utilizing a Bayesian model averaging approach as
 outlined in Gould (2019) <doi:10.1002/bimj.201700211> for both continuous
 and binary responses. Longitudinal dose-response modeling is also supported
 in a Bayesian model averaging framework as outlined in Payne, Ray, and
 Thomann (2024) <doi:10.1080/10543406.2023.2292214>. Functions for plotting
 and calculating various posterior quantities (e.g. posterior mean,
 quantiles, probability of minimum efficacious dose, etc.) are also
 implemented.  Copyright Eli Lilly and Company (2019).

Package: r-cran-dreamerr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1767
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-stringmagic
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dreamerr_1.5.0-1.ca2004.1_all.deb
Size: 934484
MD5sum: d4efd452050070aa901f6248d44b6628
SHA1: 40e8deb2a560ac9c301839070d6141d94bd39433
SHA256: e9f23a7da5f68aeb491bc7b55d265f094bba86f118edf60959f31a22901a08de
SHA512: 0b243ce10b4d0ca81af512d2574171dc2c2d4c69db9172051536385c72c4331d614dda3eeef1d7a00292fa2cce09f2007ff490b14980843cf68048ac33461be2
Homepage: https://cran.r-project.org/package=dreamerr
Description: CRAN Package 'dreamerr' (Error Handling Made Easy)
 Set of tools to facilitate package development and make R a more
 user-friendly place. Mostly for developers (or anyone who writes/shares
 functions). Provides a simple, powerful and flexible way to check the
 arguments passed to functions.  The developer can easily describe the type
 of argument needed. If the user provides a wrong argument, then an
 informative error message is prompted with the requested type and the
 problem clearly stated--saving the user a lot of time in debugging.

Package: r-cran-dregar
Architecture: all
Version: 0.1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-msgps
Filename: pool/dists/focal/main/r-cran-dregar_0.1.4.0-1.ca2004.1_all.deb
Size: 49788
MD5sum: 103991f4aa7aa6f9a278f4bec292bf1c
SHA1: dc67aa3c84d42ff04b1ce6f76b6daecf79e4260b
SHA256: 3852941f543f621adf7cf0f9db1394f7518d4f6a0b99432a30f49bb10dec168e
SHA512: d423886a0ae79202bfaf984dc1f12f0ab8d4cb6590df9b11c0b7bb2ba8ed6428dab6d9b1c691b46c5454027eda6e6e23fe00e57a0e6bbcf3e79de842e384f219
Homepage: https://cran.r-project.org/package=DREGAR
Description: CRAN Package 'DREGAR' (Regularized Estimation of Dynamic Linear Regression in thePresence of Autocorrelated Residuals (DREGAR))
 A penalized/non-penalized implementation for dynamic regression in the
 presence of autocorrelated residuals (DREGAR) using iterative
 penalized/ordinary least squares. It applies Mallows CP, AIC, BIC and GCV to
 select the tuning parameters.

Package: r-cran-drfit
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-drc, r-cran-reshape2, r-cran-qcc, r-cran-odbc, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-drfit_0.7.2-1.ca2004.1_all.deb
Size: 304824
MD5sum: 53773e77c7b4e131daf1eba0733e0a5c
SHA1: 56731e082def15bab338c2766a529adc9fb86f8c
SHA256: b9fc1217018c73b1234de47aef58245609fc7e3f8527141bf90142867b45a3bd
SHA512: 78d33ab57d9a3abfcb2d697e455dc7eec3787c0c113a77447c4239f6cc79f061d53883c9632ef2fcb76a1b20abc9f421b3d3eb64170d9c6c420b6e6f884d9d0c
Homepage: https://cran.r-project.org/package=drfit
Description: CRAN Package 'drfit' (Dose-Response Data Evaluation)
 A somewhat outdated package of basic and easy-to-use functions for fitting
 dose-response curves to continuous dose-response data, calculating some
 toxicological parameters and plotting the results. Please consider using the
 more powerful and actively developed 'drc' package.  Functions that are
 fitted are the cumulative density function of the log-normal distribution
 ('probit' fit), of the logistic distribution ('logit' fit), of the Weibull
 distribution ('weibull' fit) and a linear-logistic model ('linlogit' fit),
 derived from the latter, which is used to describe data showing stimulation
 at low doses (hormesis). In addition, functions checking, plotting and
 retrieving dose-response data retrieved from a database accessed via 'odbc'
 are included.  As an alternative to the original fitting methods, the
 algorithms from the 'drc' package can be used.

Package: r-cran-drglm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nnet, r-cran-speedglm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drglm_1.1-1.ca2004.1_all.deb
Size: 55992
MD5sum: 4531df72a4277231f31213fe1974474d
SHA1: a83bc37e408537c695fdacce3baac0a87641eb18
SHA256: acf11aee71571ca45c8314a0487c841e74ed9637c6725597645566c0284c9c7e
SHA512: 2c9ad820616c6ac8703438267751e8b77a39420e28700e2fef219455eff8a1231c5abb860c22278a7de98351a0f263158c6aca7e94ae7aa18a57830e54bd1fee
Homepage: https://cran.r-project.org/package=drglm
Description: CRAN Package 'drglm' (Fitting Linear and Generalized Linear Models in "Divide andRecombine" Approach to Large Data Sets)
 To overcome the memory limitations for fitting linear (LM) and Generalized
 Linear Models (GLMs) to large data sets, this package implements the Divide
 and Recombine (D&R) strategy. It basically divides the entire large data set
 into suitable subsets manageable in size and then fits model to each subset.
 Finally, results from each subset are aggregated to obtain the final
 estimate. This package also supports fitting GLMs to data sets that cannot
 fit into memory and provides methods for fitting GLMs under linear
 regression, binomial regression, Poisson regression, and multinomial
 logistic regression settings. Respective models are fitted using different
 D&R strategies as described by: Xi, Lin, and Chen (2009)
 <doi:10.1109/TKDE.2008.186>, Xi, Lin and Chen (2006)
 <doi:10.1109/TKDE.2006.196>, Zuo and Li (2018) <doi:10.4236/ojs.2018.81003>,
 Karim, M.R., Islam, M.A. (2019) <doi:10.1007/978-981-13-9776-9>.

Package: r-cran-drhotnet
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pbsmapping, r-cran-raster, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-spatstat, r-cran-spdep
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drhotnet_2.3-1.ca2004.1_all.deb
Size: 404292
MD5sum: 4e69f09baf9f42c2b2e37e7e3fe541e1
SHA1: 3dabec40d9387502dd054d35e09433558f6dd348
SHA256: e38cf216ae05952778818c8671fa5bb4673f6d918f98693a7b3ec00e4abc9fb8
SHA512: eabd73bf444b74415ab8a5710475d05e40fec114936b63bf8d048ba82c743074c48a842e806ec854af3fc39fe6b93c170114518ebb62f76228d7cf616cb9bb81
Homepage: https://cran.r-project.org/package=DRHotNet
Description: CRAN Package 'DRHotNet' (Differential Risk Hotspots in a Linear Network)
 Performs the identification of differential risk hotspots (Briz-Redon et al.
 2019) <doi:10.1016/j.aap.2019.105278> along a linear network. Given a marked
 point pattern lying on the linear network, the method implemented uses a
 network-constrained version of kernel density estimation (McSwiggan et al.
 2017) <doi:10.1111/sjos.12255> to approximate the probability of occurrence
 across space for the type of event specified by the user through the marks
 of the pattern (Kelsall and Diggle 1995) <doi:10.2307/3318678>. The goal is
 to detect microzones of the linear network where the type of event indicated
 by the user is overrepresented.

Package: r-cran-drhur
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3766
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-learnr
Suggests: r-cran-rmarkdown, r-cran-scales, r-cran-modelsummary, r-cran-knitr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-drhur_1.1.0-1.ca2004.1_all.deb
Size: 3558996
MD5sum: 18be8056431529e1626603fd0f817844
SHA1: 78d570330a8dbc3bb19254fad12672d685120438
SHA256: dc766251d92b65f7a0f1e996d9fae39b1dc679b17a515b0a20390964c529f43a
SHA512: b53d24c521b4128952fb694c49b1aba8d49b7f2fad64bdfc0c08959f0d3a29bb059d93e5650eae971403a2331de7ebeede6588f312c697c5a9098897012ae8e2
Homepage: https://cran.r-project.org/package=drhur
Description: CRAN Package 'drhur' (Learning R with Dr. Hu)
 Tutarials of R learning easily and happily.

Package: r-cran-drhutools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-htmltools, r-cran-sf, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-leaflet, r-cran-sp, r-cran-gganimate, r-cran-magick, r-cran-mapview, r-cran-webshot, r-cran-animation, r-cran-png
Suggests: r-cran-knitr, r-cran-remotes, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drhutools_1.0.0-1.ca2004.1_all.deb
Size: 385184
MD5sum: 27a34041f1bfdada230e344772d7d377
SHA1: 734c29f2d5ca6573fe62a2ba2990d61ae51a3452
SHA256: 2b85578be38019d01c6ddd712da066e8d9f5ffa96459db0c46d244557d4ac24d
SHA512: 12a9f254d53f45af7b0f3e12bb0561d425dd25de121a1cd13d06d05f87a22b39cc37c830c1ba39a340389c1004ba768101db6c92c8e5f99987735187789d803d
Homepage: https://cran.r-project.org/package=drhutools
Description: CRAN Package 'drhutools' (Political Science Academic Research Gears)
 Using these tools to simplify the research process of political science and
 other social sciences. The current version can create folder system for
 academic project in political science, calculate psychological trait scores,
 visualize experimental and spatial data, and set up color-blind palette,
 functions used in academic research of political psychology or political
 science in general.

Package: r-cran-drifter
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dalex, r-cran-dplyr, r-cran-tidyr, r-cran-ingredients
Suggests: r-cran-testthat, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-drifter_0.2.1-1.ca2004.1_all.deb
Size: 38164
MD5sum: 0c15c71db88ac0741e379b4ea7180349
SHA1: 102a75e1e345723526352e785dc3306e421418f7
SHA256: c4a6c7d62eeb5a4ff2af10095a6e2bdc97d8b5fbb3f6c42c1f17e479a52a7d9e
SHA512: b92f40b5d85b50b6686865001ac08e4dae5424e2a327c744570d8eeed31d70df9b0503ea3c39ad11b67524abe14644aeaa9d1244ef6d53b82e31179fc383fcc1
Homepage: https://cran.r-project.org/package=drifter
Description: CRAN Package 'drifter' (Concept Drift and Concept Shift Detection for Predictive Models)
 Concept drift refers to the change in the data distribution or in the
 relationships between variables over time.  'drifter' calculates distances
 between variable distributions or variable relations and identifies both
 types of drift.  Key functions are: calculate_covariate_drift() checks
 distance between corresponding variables in two datasets,
 calculate_residuals_drift() checks distance between residual distributions
 for two models, calculate_model_drift() checks distance between partial
 dependency profiles for two models, check_drift() executes all checks
 against drift.  'drifter' is a part of the 'DrWhy.AI' universe (Biecek 2018)
 <arXiv:1806.08915>.

Package: r-cran-drillr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-drillr_0.1-1.ca2004.1_all.deb
Size: 41620
MD5sum: 848f8c1c7a990dcbf1989df31ceff150
SHA1: 16379de4567d32ed45d18d76dd3873eb6f3995ba
SHA256: a990761af0ff6a702cb97475760dbcc3a8917753bae10ac6157ddbf4162eb153
SHA512: 9999a8193dd57a9174ef69c236d76146ade183431ad019dead70f788b61ac19555f54a2b2df41f0bbeab755333e4ed60a4e1ac66c5db769d84dccc7a7e73f3df
Homepage: https://cran.r-project.org/package=DrillR
Description: CRAN Package 'DrillR' (R Driver for Apache Drill)
 Provides a R driver for Apache Drill<https://drill.apache.org>, which could
 connect to the Apache Drill
 cluster<https://drill.apache.org/docs/installing-drill-on-the-cluster> or
 drillbit<https://drill.apache.org/docs/embedded-mode-prerequisites> and get
 result(in data frame) from the SQL query and check the current configuration
 status. This link <https://drill.apache.org/docs> contains more information
 about Apache Drill.

Package: r-cran-drimmr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-ggplot2, r-cran-future, r-cran-doparallel, r-cran-foreach, r-cran-tidyverse, r-cran-dplyr, r-cran-reshape2, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drimmr_1.0.1-1.ca2004.1_all.deb
Size: 227252
MD5sum: 10b2b6a73aaeb8bcd6ed93279f89b1d1
SHA1: 36b1801bedb71f4f55afc56fa50ef6a6b1374a68
SHA256: 013a211ce039224b796eb600f2856e227d6645466774a8aa7a05d98c47204238
SHA512: 0bdf24832b18a04bb303dbe7aa39304aaa087c00cfdc91ce2400bfde0322ef1044a50b770ebe6c0b381b41135b58249121190928198021e79c7747d69c461560
Homepage: https://cran.r-project.org/package=drimmR
Description: CRAN Package 'drimmR' (Estimation, Simulation and Reliability of Drifting Markov Models)
 Performs the drifting Markov models (DMM) which are non-homogeneous Markov
 models designed for modeling the heterogeneities of sequences in a more
 flexible way than homogeneous Markov chains or even hidden Markov models. In
 this context, we developed an R package dedicated to the estimation,
 simulation and the exact computation of associated reliability of drifting
 Markov models. The implemented methods are described in Vergne, N. (2008),
 <doi:10.2202/1544-6115.1326> and Barbu, V.S., Vergne, N. (2019)
 <doi:10.1007/s11009-018-9682-8> .

Package: r-cran-driveml
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2833
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sampling, r-cran-rmarkdown, r-cran-smarteda, r-cran-data.table, r-cran-catools, r-cran-paramhelpers, r-cran-mlr, r-cran-ggplot2, r-cran-iml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ranger, r-cran-glmnet, r-cran-randomforest, r-cran-rpart, r-cran-xgboost, r-cran-tidyr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-driveml_0.1.5-1.ca2004.1_all.deb
Size: 2323848
MD5sum: aac533f7c5c07f2f7bfd48035687a6f9
SHA1: e074e976b2dacfdf9a4e03a950fdf25a28c46bfd
SHA256: a63509e09c407f3b2971d6fbc165fbead1e3ada7f4b0219899fdfd07fc041749
SHA512: e0097f7814c14f25ea8b5e598e2a7b4701056adb2b95bbc7b13dbc03eab03d732063e41f8b6f42d41c4e4209c189c46c94138a5d004d4d4e8a47928b0c5904e5
Homepage: https://cran.r-project.org/package=DriveML
Description: CRAN Package 'DriveML' (Self-Drive Machine Learning Projects)
 Implementing some of the pillars of an automated machine learning pipeline
 such as (i) Automated data preparation, (ii) Feature engineering, (iii)
 Model building in classification context that includes techniques such as
 (a) Regularised regression [1], (b) Logistic regression [2], (c) Random
 Forest [3], (d) Decision tree [4] and (e) Extreme Gradient Boosting
 (xgboost) [5], and finally, (iv) Model explanation (using lift chart and
 partial dependency plots). Accomplishes the above tasks by running the
 function instead of writing lengthy R codes. Also provides some additional
 features such as generating missing at random (MAR) variables and automated
 exploratory data analysis. Moreover, function exports the model results with
 the required plots in an HTML vignette report format that follows the best
 practices of the industry and the academia. [1] Gonzales G B and De Saeger
 (2018) <doi:10.1038/s41598-018-21851-7>, [2] Sperandei S (2014)
 <doi:10.11613/BM.2014.003>, [3] Breiman L (2001)
 <doi:10.1023/A:1010933404324>, [4] Kingsford C and Salzberg S (2008)
 <doi:10.1038/nbt0908-1011>, [5] Chen Tianqi and Guestrin Carlos (2016)
 <doi:10.1145/2939672.2939785>.

Package: r-cran-driver
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5483
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-randomforest, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-txdb.hsapiens.ucsc.hg38.knowngene, r-bioc-s4vectors, r-bioc-org.hs.eg.db, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-driver_0.4.1-1.ca2004.1_all.deb
Size: 2640436
MD5sum: 963adcf8b63977b532a77616fa6e2eca
SHA1: 61eab1e9cba978952dcea4878f03357e87edef68
SHA256: 6ebb3b9165bd7dfa8127d04bb3e83bc7db2b023979b97e420faaf020f61c0610
SHA512: 94da9fdde7e339319f1034d92bc49ec56f1a65f4a6a887bcb1528c715da62253bd27ff8411b2b0486d525971c37eb6ed168f6b8151e994286c7c4ea96149da34
Homepage: https://cran.r-project.org/package=driveR
Description: CRAN Package 'driveR' (Prioritizing Cancer Driver Genes Using Genomics Data)
 Cancer genomes contain large numbers of somatic alterations but few genes
 drive tumor development. Identifying cancer driver genes is critical for
 precision oncology. Most of current approaches either identify driver genes
 based on mutational recurrence or using estimated scores predicting the
 functional consequences of mutations. 'driveR' is a tool for personalized or
 batch analysis of genomic data for driver gene prioritization by combining
 genomic information and prior biological knowledge. As features, 'driveR'
 uses coding impact metaprediction scores, non-coding impact scores, somatic
 copy number alteration scores, hotspot gene/double-hit gene condition,
 'phenolyzer' gene scores and memberships to cancer-related KEGG pathways. It
 uses these features to estimate cancer-type-specific probability for each
 gene of being a cancer driver using the related task of a multi-task
 learning classification model. The method is described in detail in Ulgen E,
 Sezerman OU. 2021. driveR: driveR: a novel method for prioritizing cancer
 driver genes using somatic genomics data. BMC Bioinformatics
 <doi:10.1186/s12859-021-04203-7>.

Package: r-cran-droll
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ryacas
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-mockery, r-cran-testthat, r-cran-tibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-droll_0.1.0-1.ca2004.1_all.deb
Size: 233928
MD5sum: c2142a7f987b15efef68080f039dc368
SHA1: ab04aa71200550206c995b51f7d83a16426f49cf
SHA256: 372284bc94b7f26421576cc1fa65c8d162b5fc541c64eb421a136106d5838be0
SHA512: 6e77c923ce6be7bf20ce7e0915113660bba5587a6899d2a84baea61e41546882864aec85a3126ceeeccd93eee820aa4829a8235078cd6d7bc3213bdcc2fec423
Homepage: https://cran.r-project.org/package=droll
Description: CRAN Package 'droll' (Analyze Roll Distributions)
 A toolkit for parsing dice notation, analyzing rolls, calculating success
 probabilities, and plotting outcome distributions.

Package: r-cran-dromics
Architecture: all
Version: 2.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5669
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-limma, r-bioc-deseq2, r-bioc-summarizedexperiment, r-cran-ggplot2, r-cran-ggfortify, r-cran-rlang
Suggests: r-cran-shiny, r-cran-shinybs, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets, r-cran-sortable, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-sva, r-cran-venndiagram, r-cran-plotly, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-dromics_2.6-2-1.ca2004.1_all.deb
Size: 3626788
MD5sum: 2dbc292661dfd8f863e1584465359296
SHA1: 0b1ef93473ddd62d9cdf31baaddd5688a14aa385
SHA256: 903c8ab1fab81c9ed2d6288af19c4ba94993052d0039b54daf7cec9ea0da5bc2
SHA512: 801e5c3af0021f5a6328fd0ad8868802eb36a95f77a0bddfe3ea9a7e1ca0cef09e51d397d8ec02241d86dbb9d802c5b53dcab5a59d7af5247e2ae14be8e10228
Homepage: https://cran.r-project.org/package=DRomics
Description: CRAN Package 'DRomics' (Dose Response for Omics)
 Several functions are provided for dose-response (or concentration-response)
 characterization from omics data. 'DRomics' is especially dedicated to omics
 data obtained using a typical dose-response design, favoring a great number
 of tested doses (or concentrations) rather than a great number of replicates
 (no need of replicates). 'DRomics' provides functions 1) to check, normalize
 and or transform data, 2) to select monotonic or biphasic significantly
 responding items (e.g. probes, metabolites), 3) to choose the best-fit model
 among a predefined family of monotonic and biphasic models to describe each
 selected item, 4) to derive a benchmark dose or concentration and a typology
 of response from each fitted curve. In the available version data are
 supposed to be single-channel microarray data in log2, RNAseq data in raw
 counts, or already pretreated continuous omics data (such as metabolomic
 data) in log scale. In order to link responses across biological levels
 based on a common method, 'DRomics' also handles apical data as long as they
 are continuous and follow a normal distribution for each dose or
 concentration, with a common standard error. For further details see
 Delignette-Muller et al (2023) <DOI:10.24072/pcjournal.325> and Larras et al
 (2018) <DOI:10.1021/acs.est.8b04752>.

Package: r-cran-drone
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-drone_1.0.0-1.ca2004.1_all.deb
Size: 58820
MD5sum: 0c4f7af7bdc16ec0a0d1575f60c034ce
SHA1: 048f6326a0093aa1398eaee8838650c7c6eac93b
SHA256: 09313702020baeb33684c9f443817076ff5a52f75c2dd1e89ec85f4e382b425d
SHA512: 09f6238014e68249609ef7c72e0300d35423da556f5c10759a41227dc93dce293e13f2b85bb924c66677e3cfb1b9ceab8868ec55f0d2ec2b85e9f345c7f1dbce
Homepage: https://cran.r-project.org/package=drone
Description: CRAN Package 'drone' (Data for Data Visualisation Geometries Encyclopedia)
 This is the companion package to the Data Visualization Geometries
 Encyclopedia, providing seamless access to the associated data.

Package: r-cran-dropr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-data.table, r-cran-survival, r-cran-lifecycle
Suggests: r-cran-dt, r-cran-shinydashboard, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-dropr_1.0.3-1.ca2004.1_all.deb
Size: 313904
MD5sum: a77620bc042e43b37effe2cb304149a9
SHA1: b0120085bd4869cb2e014fdb599da2c76f6f091f
SHA256: 4fcee3dc3d330fe1a7b71947b26848c0e4052523e1e7f3600c89d626603221af
SHA512: 255a66a62702acc6ed097d22e830e8547ff91d925960ca0a5d8490a40825fa11cae5d883b5a7528e579c2523c97f92183121be47ee699bf5debae4df27716e44
Homepage: https://cran.r-project.org/package=dropR
Description: CRAN Package 'dropR' (Dropout Analysis by Condition)
 Analysis and visualization of dropout between conditions in surveys and
 (online) experiments. Features include computation of dropout statistics,
 comparing dropout between conditions (e.g. Chi square), analyzing survival
 (e.g. Kaplan-Meier estimation), comparing conditions with the most different
 rates of dropout (Kolmogorov-Smirnov) and visualizing the result of each in
 designated plotting functions. Sources: Andrea Frick, Marie-Terese
 Baechtiger & Ulf-Dietrich Reips (2001)
 <https://www.researchgate.net/publication/223956222_Financial_incentives_personal_information_and_drop-out_in_online_studies>;
 Ulf-Dietrich Reips (2002) "Standards for Internet-Based Experimenting"
 <doi:10.1027//1618-3169.49.4.243>.

Package: r-cran-droptest
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-droptest_0.1.3-1.ca2004.1_all.deb
Size: 46096
MD5sum: 74ce91de0ca867ab55182a80db4308c1
SHA1: 151ef4ff33e156bda5602447db262eb9dc81c623
SHA256: 17323e8bffc0132bc97afe1ce0a5a5085ab7dc077733d590be0edf4a4cd6a6ab
SHA512: 5bde847197c23bbf5b326f505c871f45ff1e084b532cbc397b9991a84e12abd88ec33172ba60974634c1c3faa95bfad6a8c31038ee265caf7a1e8f66d2349005
Homepage: https://cran.r-project.org/package=droptest
Description: CRAN Package 'droptest' (Simulates LOX Drop Testing)
 Generates simulated data representing the LOX drop testing process (also
 known as impact testing). A simulated process allows for accelerated study
 of test behavior. Functions are provided to simulate trials, test series,
 and groups of test series. Functions for creating plots specific to this
 process are also included. Test attributes and criteria can be set
 arbitrarily. This work is not endorsed by or affiliated with NASA.  See
 "ASTM G86-17, Standard Test Method for Determining Ignition Sensitivity of
 Materials to Mechanical Impact in Ambient Liquid Oxygen and Pressurized
 Liquid and Gaseous Oxygen Environments" <doi:10.1520/G0086-17>.

Package: r-cran-drord
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-vgam, r-cran-ordinal, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggsci
Filename: pool/dists/focal/main/r-cran-drord_1.0.1-1.ca2004.1_all.deb
Size: 273492
MD5sum: 151992e155648df1604e745b229f54bf
SHA1: f1a084f2b326f8d0848220189251644af0500e9b
SHA256: 9a4261f2014cff5859fcfbd92ab539934d747f2e7da53c3eef3a4da6af4c9598
SHA512: 54b4fe46fcae7e0d634db1caf087e47fd0b9d2ee07969e7cdc5c39e7763b81f5f21d720d8c6606f36f1688d1456117b02b51825530075916af6e288a4748312f
Homepage: https://cran.r-project.org/package=drord
Description: CRAN Package 'drord' (Doubly-Robust Estimators for Ordinal Outcomes)
 Efficient covariate-adjusted estimators of quantities that are useful for
 establishing the effects of treatments on ordinal outcomes.

Package: r-cran-drought
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-copula, r-cran-corrplot
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-drought_1.2-1.ca2004.1_all.deb
Size: 50208
MD5sum: df1409494518ea6bf65bd232ee172476
SHA1: 8fed3a7ffecc2ad4560ac8d85a3bb16fc51022cb
SHA256: 1e923108c6a0d2bdb6bc2f67d919b655f3f78b7564f7adeeeac9ea265c398f7b
SHA512: 9d4b9782a0a878a2905703575cd96b5bdab1564ff8ceb582c5f43e10b95b1044bfe98109b744bc60faf377a313bfdc44c508fd0ad040e3acd5fc6af72cc1fdc3
Homepage: https://cran.r-project.org/package=drought
Description: CRAN Package 'drought' (Statistical Modeling and Assessment of Drought)
 Provide tools for drought monitoring based on univariate and multivariate
 drought indicators.Statistical drought prediction based on Ensemble
 Streamflow Prediction (ESP), drought risk assessments, and drought
 propagation are also provided. Please see Hao Zengchao et al. (2017)
 <doi:10.1016/j.envsoft.2017.02.008>.

Package: r-cran-drpop
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gam, r-cran-janitor, r-cran-reshape2, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-superlearner, r-cran-ggplot2, r-cran-nnet, r-cran-nnls, r-cran-ranger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drpop_0.0.3-1.ca2004.1_all.deb
Size: 152240
MD5sum: 5e97ba9a699639c5dc23f30b0bab3dd2
SHA1: f4c3d506f89eaf4115b79635c6cdbeb34532d4ad
SHA256: 88fb5c2ad1ff2270a099a50922c31050275fd85bf33aa4591469a38cca90ce62
SHA512: 3e40f0cf3964c279569767b389748e21f373bee0ca54dd0d8a61585e65bb192f69c973a793fe9d5283f8a14ea94bb52113bcaed39208ff517b2cc00c7bda333b
Homepage: https://cran.r-project.org/package=drpop
Description: CRAN Package 'drpop' (Efficient and Doubly Robust Population Size Estimation)
 Estimation of the total population size from capture-recapture data
 efficiently and with low bias implementing the methods from Das M, Kennedy
 EH, and Jewell NP (2021) <arXiv:2104.14091>. The estimator is doubly robust
 against errors in the estimation of the intermediate nuisance parameters.
 Users can choose from the flexible estimation models provided in the
 package, or use any other preferred model.

Package: r-cran-drquality
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-databionicswarm
Suggests: r-cran-plotly, r-cran-geometry, r-cran-deldir, r-cran-fcps, r-cran-projectionbasedclustering, r-cran-datavisualizations, r-cran-fastknn, r-cran-ggplot2, r-cran-pcapp, r-cran-pracma, r-cran-spdep, r-cran-igraph, r-cran-cccd, r-cran-sf
Filename: pool/dists/focal/main/r-cran-drquality_0.2.1-1.ca2004.1_all.deb
Size: 90596
MD5sum: c97fa9aaf44e5e5215ae38a3e9585c30
SHA1: 220f7f11ad3b1b9c379dc03f70b3db72f7d60106
SHA256: 4a9459ee523f05565acbfae2b256a2a2dee089935f2b0e13e919ae3f41ea9f63
SHA512: c7024bb93477c64a70a9acf9b38fd080f18961ecb115438cde4a0820d7dad1149162b222b1b6ee9732f84ddf109a84cd619479ac4bcaa8804ff8aee9d8897a0b
Homepage: https://cran.r-project.org/package=DRquality
Description: CRAN Package 'DRquality' (Quality Measurements for Dimensionality Reduction)
 Several quality measurements for investigating the performance of
 dimensionality reduction methods are provided here. In addition a new
 quality measurement called Gabriel classification error is made accessible,
 which was published in Thrun, M. C., Märte, J., & Stier, Q: "Analyzing
 Quality Measurements for Dimensionality Reduction" (2023), Machine Learning
 and Knowledge Extraction (MAKE), <DOI:10.3390/make5030056>.

Package: r-cran-drr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab, r-cran-cvst, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drr_0.0.4-1.ca2004.1_all.deb
Size: 154940
MD5sum: ba022282a0e6344166e4565b28770e3f
SHA1: 49385cf35a270eb33b706c50914b4679f5657309
SHA256: 9e401590a8d4fcbbb551618afb6c13d5643a65548c253f8a9bf7f32218d08a29
SHA512: 2a09e476cd3cc0bb26a29126d0aaac24297a0fc4dccdc94861f7dcbbce08785cef14b17c155e31cb60ea3ccf9522c0ed6e9c95cdb00405065870acbfc20ebe93
Homepage: https://cran.r-project.org/package=DRR
Description: CRAN Package 'DRR' (Dimensionality Reduction via Regression)
 An Implementation of Dimensionality Reduction via Regression using Kernel
 Ridge Regression.

Package: r-cran-drtmle
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 537
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-superlearner, r-cran-np, r-cran-future.apply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-gam, r-cran-quadprog, r-cran-nloptr, r-cran-foreach, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-drtmle_1.1.2-1.ca2004.1_all.deb
Size: 293304
MD5sum: 929af686f7066ff16dec871a4724de45
SHA1: 85f3a9563a1f3c39c61e897ce3a01c3f28f1e351
SHA256: 48411efe6ba087ae9cd1ae06edcb9d4001d64ad300265df2cff2bb75e717759e
SHA512: 74f71dd525176836827f991bf72a495a77a76acb0ccbf9604268a5e6cb4fa46a8c890f66219776d624c39730872be6fecf4acf546e933f2d34e5c173de4efc86
Homepage: https://cran.r-project.org/package=drtmle
Description: CRAN Package 'drtmle' (Doubly-Robust Nonparametric Estimation and Inference)
 Targeted minimum loss-based estimators of counterfactual means and causal
 effects that are doubly-robust with respect both to consistency and
 asymptotic normality (Benkeser et al (2017), <doi:10.1093/biomet/asx053>; MJ
 van der Laan (2014), <doi:10.1515/ijb-2012-0038>).

Package: r-cran-drugclust
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-mess, r-cran-cclust, r-cran-cluster, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-drugclust_0.2-1.ca2004.1_all.deb
Size: 72888
MD5sum: 7fef9de1ca9953343b8d1798f5665e9f
SHA1: cebec70d1d7b347adc909a68c1146156d61c6542
SHA256: 2e43ca40a67673559456ad5aed8dff68859d23c03dc4316ce8bd5aa1c7aa5348
SHA512: 5fc45e56963d5e8e175e6925fd4908582443555ef5cf0cc54ae4b0d3dd3d5a1e3831a42606cdc066718bd52dfbf2d39850247ce90359c782e5759b46f1bb012e
Homepage: https://cran.r-project.org/package=DrugClust
Description: CRAN Package 'DrugClust' (Implementation of a Machine Learning Framework for PredictingDrugs Side Effects)
 An implementation of a Machine Learning Framework for prediction of new
 drugs Side Effects.  Firstly drugs are clustered with respect to their
 features description and secondly predictions are made, according to
 Bayesian scores.  Moreover it can perform protein enrichment considering the
 proteins clustered together in the first step of the algorithm.  This last
 tool is of extreme interest for biologist and drug discovery purposes, given
 the fact that it can be used either as a validation of the clusters
 obtained, as well as for the possible discovery of new interactions between
 certain side effects and non targeted pathways.  Clustering of the drugs in
 the feature space can be done using K-Means, PAM or K-Seeds (a novel
 clustering algorithm proposed by the author).

Package: r-cran-drugdevelopr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-mvtnorm, r-cran-cubature, r-cran-msm, r-cran-mass, r-cran-progressr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-kableextra, r-cran-magrittr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-drugdevelopr_1.0.2-1.ca2004.1_all.deb
Size: 899864
MD5sum: f314685049760f7fc93af3f84982c54f
SHA1: d0aac113b398df20bc04b96393c9dc07c8ab09f1
SHA256: 8d9e39b757e1e0b413038b8b61dea8c73505ac0f74343c685d9daaa4afe87ede
SHA512: a0433ea895599d6160a4f1d6a2a099a568d9d7c34fbeaa6005fe8f1e925aecddf19d4b7b913808d3b90b83ca8f74db56f73ae7b83da055ce0ba47d7785e0873d
Homepage: https://cran.r-project.org/package=drugdevelopR
Description: CRAN Package 'drugdevelopR' (Utility-Based Optimal Phase II/III Drug Development Planning)
 Plan optimal sample size allocation and go/no-go decision rules for phase
 II/III drug development programs with time-to-event, binary or normally
 distributed endpoints when assuming fixed treatment effects or a prior
 distribution for the treatment effect, using methods from Kirchner et al.
 (2016) <doi:10.1002/sim.6624> and Preussler (2020). Optimal is in the sense
 of maximal expected utility, where the utility is a function taking into
 account the expected cost and benefit of the program. It is possible to
 extend to more complex settings with bias correction (Preussler S et al.
 (2020) <doi:10.1186/s12874-020-01093-w>), multiple phase III trials
 (Preussler et al. (2019) <doi:10.1002/bimj.201700241>), multi-arm trials
 (Preussler et al.  (2019) <doi:10.1080/19466315.2019.1702092>), and multiple
 endpoints (Kieser et al. (2018) <doi:10.1002/pst.1861>).

Package: r-cran-drugexposurediagnostics
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4629
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-checkmate, r-cran-glue, r-cran-drugutilisation, r-cran-omopgenerics, r-cran-r6
Suggests: r-cran-testthat, r-cran-duckdb, r-cran-odbc, r-cran-dbi, r-cran-knitr, r-cran-rmarkdown, r-cran-zip, r-cran-lubridate, r-cran-tibble, r-cran-dt, r-cran-sqlrender, r-cran-ggplot2, r-cran-plotly, r-cran-pryr, r-cran-tictoc, r-cran-here, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-shinyjs, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-drugexposurediagnostics_1.1.4-1.ca2004.1_all.deb
Size: 969960
MD5sum: 15c7d87bbf832a87e6ec2946b6ddf0f2
SHA1: 2a361bb1c7c7212d2fd3e98ad55114e3fdb94faf
SHA256: 9a1afef9bba771a8d3749cd5c83ff99d118597e487c09b8c37ff463e65c94fce
SHA512: 30cd5cb6e8f2a1d573317af9ea7107714a6e45d7bd1da7bb7c7ef81e984a53e3d017f80ba0a581294e5792bd687f7b26be35304c7b83ec37edf54a3da80dede9
Homepage: https://cran.r-project.org/package=DrugExposureDiagnostics
Description: CRAN Package 'DrugExposureDiagnostics' (Diagnostics for OMOP Common Data Model Drug Records)
 Ingredient specific diagnostics for drug exposure records in the
 Observational Medical Outcomes Partnership (OMOP) common data model.

Package: r-cran-drugprepr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-doseminer, r-cran-rlang, r-cran-tidyr, r-cran-sqldf, r-cran-stringr, r-cran-purrr, r-cran-desctools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-drugprepr_0.0.4-1.ca2004.1_all.deb
Size: 161348
MD5sum: 72aa0e2235aaf09fcc67e1546cf66594
SHA1: 1e9a48686585511c8473ec5fd72438e11b7e6196
SHA256: b58290c34d773c6ddae9c6059e9fcf8b37e0eaca6090b8458d6e2a85882dcc65
SHA512: 4627ade7682cc57a4ffba5122278d0702eebf3987a38168c0242dc55768d1c2364995c69a4944c62726dfe3e887df679de6b3b202604cc87f52a70e88385b872
Homepage: https://cran.r-project.org/package=drugprepr
Description: CRAN Package 'drugprepr' (Prepare Electronic Prescription Record Data to Estimate DrugExposure)
 Prepare prescription data (such as from the Clinical Practice Research
 Datalink) into an analysis-ready format, with start and stop dates for each
 patient's prescriptions. Based on Pye et al (2018) <doi:10.1002/pds.4440>.

Package: r-cran-drugsens
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-knitr, r-cran-roxygen2, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-drugsens_0.1.0-1.ca2004.1_all.deb
Size: 126096
MD5sum: 207c891b6512d56e8f45785ccbd80065
SHA1: 5df8a34036d4dc0a16dc77beac421c00a3933fed
SHA256: 5fe1a2ba0ef0001bcec16b3eb484896161f6e7db451fa2946f4c81a18f270fea
SHA512: 6eba5499ea9b81b405a971dba8302fc556f2deed66b6b246a2af2755e209ea8ebba6f997b9af77fc3b2d5e6b244a2cb823cdac539f9cd7d03384c2a14d8c2b0b
Homepage: https://cran.r-project.org/package=drugsens
Description: CRAN Package 'drugsens' (Automated Analysis of 'QuPath' Output Data and MetadataExtraction)
 A comprehensive toolkit for analyzing microscopy data output from 'QuPath'
 software.  Provides functionality for automated data processing, metadata
 extraction, and statistical analysis of imaging results. The methodology
 implemented in this package is based on Labrosse et al. (2024)
 <doi:10.1016/j.xpro.2024.103274> "Protocol for quantifying drug sensitivity
 in 3D patient-derived ovarian cancer models", which describes the complete
 workflow for drug sensitivity analysis in patient-derived cancer models.

Package: r-cran-drugsim2dr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3079
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-pheatmap, r-bioc-chemminer, r-cran-rvest, r-cran-sp, r-cran-tidyr, r-cran-reshape2, r-cran-fastmatch
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-drugsim2dr_0.1.1-1.ca2004.1_all.deb
Size: 2472852
MD5sum: c2ce24f970a32b0f07673e5e7c73ab84
SHA1: 55b9b40e36da00812ab519c67925e7b8c42a87a9
SHA256: 0c319029c8a19a71ae3f8fa8f0e0b526594bee5d22ec84652f658e2f0e4e49f9
SHA512: 6195384f7272bbc0ec7c72ab8c3417496585c457bc438cccf00488cbb12d72f7ddbba061db8d8e6e12cf675c1ec90bf87678c0790eb1adb6ba4dcecc97a57f45
Homepage: https://cran.r-project.org/package=DrugSim2DR
Description: CRAN Package 'DrugSim2DR' (Predict Drug Functional Similarity to Drug Repurposing)
 A systematic biology tool was developed to repurpose drugs via a drug-drug
 functional similarity network. 'DrugSim2DR' first predict drug-drug
 functional similarity in the context of specific disease, and then using the
 similarity constructed a weighted drug similarity network. Finally, it used
 a network propagation algorithm on the network to identify drugs with
 significant target abnormalities as candidate drugs.

Package: r-cran-drugutilisation
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3199
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-cli, r-cran-clock, r-cran-codelistgenerator, r-cran-dplyr, r-cran-glue, r-cran-omopgenerics, r-cran-patientprofiles, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-bit64, r-cran-cohortsurvival, r-cran-covr, r-cran-dbi, r-cran-duckdb, r-cran-flextable, r-cran-ggplot2, r-cran-ggtext, r-cran-gt, r-cran-here, r-cran-knitr, r-cran-odbc, r-cran-rmarkdown, r-cran-rpostgres, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-visomopresults
Filename: pool/dists/focal/main/r-cran-drugutilisation_1.0.3-1.ca2004.1_all.deb
Size: 775408
MD5sum: 97f274242a5085f02c4365d364791421
SHA1: f396f055e681a7be17640e25db0ebefd0a34b949
SHA256: e5aac2f7faaa3609b87c29ce44c3aab4017c4132348e239be41f7704875e00a7
SHA512: ec26203cc6a7fa070ecd0e8d39a69643db3fd12dbacf632a3fc71d734b82949fec4ba06340c9e4739b95a7fa7012a34396119cb0c14aa6910cb80278b98f3c72
Homepage: https://cran.r-project.org/package=DrugUtilisation
Description: CRAN Package 'DrugUtilisation' (Summarise Patient-Level Drug Utilisation in Data Mapped to theOMOP Common Data Model)
 Summarise patient-level drug utilisation cohorts using data mapped to the
 Observational Medical Outcomes Partnership (OMOP) common data model.  New
 users and prevalent users cohorts can be generated and their
 characteristics, indication and drug use summarised.

Package: r-cran-drumr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-audio, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-drumr_0.1.0-1.ca2004.1_all.deb
Size: 1603572
MD5sum: e544ccd88c47d3946cea4ebdd12a47e7
SHA1: cfb5d6091d6b13efc384b8dff618b91e3c799462
SHA256: fa6c62f14113c6707e74d82f4f33aa0748d1281ce3792973d70fd71910bc4dea
SHA512: 4a9209f9002a363bb50ad132317173b811fc25d1eea15810eeb0d2d9b5f077a41ec6a6315eb400ded27982337a54eeaddbb3bd984d420d3e0760f8aafd966a57
Homepage: https://cran.r-project.org/package=drumr
Description: CRAN Package 'drumr' (Turn R into a Drum Machine)
 Includes various functions for playing drum sounds. beat() plays a drum
 sound from one of the six included drum kits. tempo() sets spacing between
 calls to beat() in bpm. Together the two functions can be used to create
 many different drum patterns.

Package: r-cran-drviaspcn
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4672
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-gsva, r-bioc-clusterprofiler, r-cran-igraph, r-cran-pheatmap
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dt
Filename: pool/dists/focal/main/r-cran-drviaspcn_0.1.5-1.ca2004.1_all.deb
Size: 4540816
MD5sum: 9005f4b71f415688274208e155e34fd5
SHA1: 69e1a13bb3d991d4d3eca482eb9fe21f21f6802f
SHA256: 3af1899ee0801f129ba6560d605942bd3d6212057bd0426effc757eba8c4b411
SHA512: 4c65c7de7714af50be9097755d11faa107143276f558049739c645955e4d36bbab970bcf2325f959a5872073ab319efaf7abb81cf5f6ea8ea3759e05398a9430
Homepage: https://cran.r-project.org/package=DRviaSPCN
Description: CRAN Package 'DRviaSPCN' (Drug Repurposing in Cancer via a Subpathway Crosstalk Network)
 A systematic biology tool was developed to repurpose drugs via a subpathway
 crosstalk network. The operation modes include 1) calculating centrality
 scores of SPs in the context of gene expression data to reflect the
 influence of SP crosstalk, 2) evaluating drug-disease reverse association
 based on disease- and drug-induced SPs weighted by the SP crosstalk, 3)
 identifying cancer candidate drugs through perturbation analysis. There are
 also several functions used to visualize the results.

Package: r-cran-ds4psy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-unikn
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ds4psy_1.0.0-1.ca2004.1_all.deb
Size: 796852
MD5sum: 50c10158e92b05995d0965422b3e0083
SHA1: 2c9a04653290b7cad4c3ca121c04f8d0436f8ae6
SHA256: 5d828c409396e64f87a5135a241db1d4c1671c51b1f272f23e2d6598cb736e59
SHA512: 4e805c4c4cf993d865a0a54f9d610214e615e4948d47ded09206150c25b778f14748b2e1bbae927d24aeb6ff3d1fc814cd3c65f783c8994fcf565fb83427f307
Homepage: https://cran.r-project.org/package=ds4psy
Description: CRAN Package 'ds4psy' (Data Science for Psychologists)
 All datasets and functions required for the examples and exercises of the
 book "Data Science for Psychologists" (by Hansjoerg Neth, Konstanz
 University, 2022), available at <https://bookdown.org/hneth/ds4psy/>. The
 book and course introduce principles and methods of data science to students
 of psychology and other biological or social sciences. The 'ds4psy' package
 primarily provides datasets, but also functions for data generation and
 manipulation (e.g., of text and time data) and graphics that are used in the
 book and its exercises. All functions included in 'ds4psy' are designed to
 be explicit and instructive, rather than efficient or elegant.

Package: r-cran-ds
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ds_4.0-1.ca2004.1_all.deb
Size: 36468
MD5sum: 6c4d0fd31ab35f0cc30d248827fb6c8a
SHA1: 0c28aa09a0a496be7114dded9667d43e0c8e2917
SHA256: ecac45b8c22dd1120a61c9e840a5d7a32353cc76cb11d5abd77498724d829b39
SHA512: 1550784f12a4bc2bb7a86dd4a5e306da77d6580931df424d242e6c4c4c2bad5a51383ef9fbfbe533d19b3f534e0f1b3aceaf7b80275996d8fd2eb3e18ab2e902
Homepage: https://cran.r-project.org/package=ds
Description: CRAN Package 'ds' (Descriptive Statistics)
 Performs various analyzes of descriptive statistics, including correlations,
 graphics and tables.

Package: r-cran-dsa
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3430
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-xts, r-cran-zoo, r-cran-r2html, r-cran-tsoutliers, r-cran-htmlwidgets, r-cran-forecast, r-cran-rjava, r-cran-timedate, r-cran-dygraphs, r-cran-gridextra, r-cran-reshape2, r-cran-seastests
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-str
Filename: pool/dists/focal/main/r-cran-dsa_1.0.12-1.ca2004.1_all.deb
Size: 2612464
MD5sum: 850ac4953dd999dd4e995ae0aeac4435
SHA1: 898a1de60ab27aa5a258e91ae370b8467c2550b0
SHA256: dd04603791e287900de0b31939efd00c04fef80cbdce2778c25c6f41993ee242
SHA512: 8dff599b3c1537ba9b651cad6a226fb918e2a4a72c279d0eaea86b8c1d39acf64312b92323a73d5aa6861609aa3a22590a57f173502dbf3f85c426e5ea63f925
Homepage: https://cran.r-project.org/package=dsa
Description: CRAN Package 'dsa' (Seasonal Adjustment of Daily Time Series)
 Seasonal- and calendar adjustment of time series with daily frequency using
 the DSA approach developed by Ollech, Daniel (2018): Seasonal adjustment of
 daily time series. Bundesbank Discussion Paper 41/2018.

Package: r-cran-dsaide
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5149
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-adaptivetau, r-cran-desolve, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-lhs, r-cran-nloptr, r-cran-plotly, r-cran-rlang, r-cran-xml
Suggests: r-cran-covr, r-cran-devtools, r-cran-emoji, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dsaide_0.9.6-1.ca2004.1_all.deb
Size: 2620516
MD5sum: 0f07f36850236671e8a2822001182b41
SHA1: c188fc24f312e8d4d4bde63ed9b0fbbc19c21fe1
SHA256: 8ecdad80132872bef23bb5d85018ea4450541052d499fa820c50b0b5828f95a4
SHA512: 85470d996bf0f9ac0dad49c7bc42087e6e489f926059e1a064e554bd07f87b38c193fee215b9844bc0175ae91d297971db363b4f9e00fff99169f6520cdb4b93
Homepage: https://cran.r-project.org/package=DSAIDE
Description: CRAN Package 'DSAIDE' (Dynamical Systems Approach to Infectious Disease Epidemiology(Ecology/Evolution))
 Exploration of simulation models (apps) of various infectious disease
 transmission dynamics scenarios.  The purpose of the package is to help
 individuals learn about infectious disease epidemiology (ecology/evolution)
 from a dynamical systems perspective.  All apps include explanations of the
 underlying models and instructions on what to do with the models.

Package: r-cran-dsairm
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4777
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-adaptivetau, r-cran-boot, r-cran-desolve, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-lhs, r-cran-nloptr, r-cran-plotly, r-cran-rlang, r-cran-xml
Suggests: r-cran-covr, r-cran-devtools, r-cran-emoji, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dsairm_0.9.6-1.ca2004.1_all.deb
Size: 2350772
MD5sum: 9adac3145f0047e3c22f048fcae3344b
SHA1: 9b3ebdbf360d7c22aae79acec08c41467af5c63e
SHA256: ce816deb33e16fea73349cd21ff577d1b64fcd60686f6584a55520d5db42aa78
SHA512: 68a90a1848354ca41137f1a5e18a33489118594eae97d13ec8ef1f18067eb70081846c2b4c5fd1ed5a3f3cdba4048d6d27cc71485fbf369ec20e418d0279fc56
Homepage: https://cran.r-project.org/package=DSAIRM
Description: CRAN Package 'DSAIRM' (Dynamical Systems Approach to Immune Response Modeling)
 Simulation models (apps) of various within-host immune response scenarios.
 The purpose of the package is to help individuals learn about within-host
 infection and immune response modeling from a dynamical systems perspective.
 All apps include explanations of the underlying models and instructions on
 what to do with the models.

Package: r-cran-dsam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-kohonen, r-cran-matrix, r-cran-proc, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-dsam_1.0.2-1.ca2004.1_all.deb
Size: 107632
MD5sum: 6fff108b23acdea93de0e88e8e5112e0
SHA1: 4be4a3bdec0e3d285c9dbd55ab04ad1b54885563
SHA256: 9b77a70d0d3a4c8937aae31ac9d402d484e9952e589cfa5cc2a31d470d6baf56
SHA512: e5cbf8a0936a3b14283978be8ed235fd11bf3063e7017624c7ad743ee12e1b461997bfc681809cbf4ec8da538431ccf5c35e119f4fb309cad90bb81f3faa9a44
Homepage: https://cran.r-project.org/package=DSAM
Description: CRAN Package 'DSAM' (Data Splitting Algorithms for Model Developments)
 Providing six different algorithms that can be used to split the available
 data into training, test and validation subsets with similar distribution
 for hydrological model developments. The dataSplit() function will help you
 divide the data according to specific requirements, and you can refer to the
 par.default() function to set the parameters for data splitting. The
 getAUC() function will help you measure the similarity of distribution
 features between the data subsets.  For more information about the data
 splitting algorithms, please refer to: Chen et al. (2022)
 <doi:10.1016/j.jhydrol.2022.128340>, Zheng et al. (2022)
 <doi:10.1029/2021WR031818>.

Package: r-cran-dsample
Architecture: all
Version: 0.91.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-mnormt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dsample_0.91.3.4-1.ca2004.1_all.deb
Size: 50456
MD5sum: 871ee6b5a308b5bbd57cd2f338cb9c90
SHA1: aa807b379bad5a4d3ca8296663bdf92129464257
SHA256: 4219013a6f755667e928cb900be13b757fd56e7d13f06edaf8dfaefbadec872e
SHA512: 68dfc17cac084fbff01e7093975aca7f6bc2e1a7666945a98d325394d3f806149851d4e7cdfc8b095e9f0bd66faa0be741edafd9206e51c54affd3a9bcaeb23a
Homepage: https://cran.r-project.org/package=dsample
Description: CRAN Package 'dsample' (Discretization-Based Direct Random Sample Generation)
 Discretization-based random sampling algorithm that is useful for a complex
 model in high dimension is implemented. The normalizing constant of a target
 distribution is not needed. Posterior summaries are compared with those by
 'OpenBUGS'. The method is described: Wang and Lee (2014)
 <doi:10.1016/j.csda.2013.06.011> and exercised in Lee (2009)
 <http://hdl.handle.net/1993/21352>.

Package: r-cran-dsb
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4769
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-bioc-limma, r-cran-mclust
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-cowplot, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dsb_2.0.0-1.ca2004.1_all.deb
Size: 3792720
MD5sum: b49a5982ff196944b031294f704138fd
SHA1: fb53f3aa9feea6d02a269bd522f071e1cf632a83
SHA256: aa13c9658245d31c61f288a2cde3071480de859b0d041f9f9881b902a81f9c2f
SHA512: e9da7b13dcfb7ac5abd835ed1aecb430660cc00feb809c93377284c5cd2bf7ca24985f61d7d3bb8993041fcc8ffbdeb4c1bc9d8714b6895eb774ab2fc8d31245
Homepage: https://cran.r-project.org/package=dsb
Description: CRAN Package 'dsb' (Normalize & Denoise Droplet Single Cell Protein Data (CITE-Seq))
 This lightweight R package provides a method for normalizing and denoising
 protein expression data from droplet based single cell experiments. Raw
 protein Unique Molecular Index (UMI) counts from sequencing DNA-conjugated
 antibody derived tags (ADT) in droplets (e.g. 'CITE-seq') have substantial
 measurement noise. Our experiments and computational modeling revealed two
 major components of this noise: 1) protein-specific noise originating from
 ambient, unbound antibody encapsulated in droplets that can be accurately
 inferred via the expected protein counts detected in empty droplets, and 2)
 droplet/cell-specific noise revealed via the shared variance component
 associated with isotype antibody controls and background protein counts in
 each cell. This package normalizes and removes both of these sources of
 noise from raw protein data derived from methods such as 'CITE-seq',
 'REAP-seq', 'ASAP-seq', 'TEA-seq', 'proteogenomic' data from the Mission Bio
 platform, etc. See the vignette for tutorials on how to integrate dsb with
 'Seurat' and 'Bioconductor' and how to use dsb in 'Python'. Please see our
 paper Mulè M.P., Martins A.J., and Tsang J.S. Nature Communications 2022
 <https://www.nature.com/articles/s41467-022-29356-8> for more details on the
 method.

Package: r-cran-dsbayes
Architecture: all
Version: 2023.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bb
Filename: pool/dists/focal/main/r-cran-dsbayes_2023.1.0-1.ca2004.1_all.deb
Size: 74564
MD5sum: b88ea89cfb5b04a70ee875fad590b98b
SHA1: d9ad0d4923122ed22de2e6c5ecedef65c9e37ec6
SHA256: 6cfe05d5e320916d7f18e81ff07a02ced14c7c0dcba985b96642dd664012a03f
SHA512: ea682cb6f517dd107c5e149443b849f5cdf1253702a0617af3f041cc8d62bf4cd60b3aecf92d90e2f60de56bcb45ead03a49c84e02f6ead06f8e549b30c9b6c6
Homepage: https://cran.r-project.org/package=DSBayes
Description: CRAN Package 'DSBayes' (Bayesian Subgroup Analysis in Clinical Trials)
 Calculate posterior modes and credible intervals of parameters of the
 Dixon-Simon model for subgroup analysis (with binary covariates) in clinical
 trials. For details of the methodology, please refer to D.O. Dixon and R.
 Simon (1991), Biometrics, 47: 871-881.

Package: r-cran-dscoremsm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-timeroc, r-cran-ggplot2, r-cran-survival, r-cran-mstate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dscoremsm_0.1.0-1.ca2004.1_all.deb
Size: 269660
MD5sum: f062641660fd40cebc24dcc938b2b48a
SHA1: 99bbe0d26c97611737b17a73c9ea926364b375d4
SHA256: 396c336da9ed1b428900a48fc1f3b91433629eb9be89978d55d6bd865312c3ee
SHA512: bd8788af0296d4f40b2760f89ee679ed30ba769218472afc985ed665c4ff441f2452f2f1658b55876d1e872a8132a9e0ede571a2a880207eea15ef15ff217740
Homepage: https://cran.r-project.org/package=dscoreMSM
Description: CRAN Package 'dscoreMSM' (Survival Proximity Score Matching in Multi-State Survival Model)
 Implements survival proximity score matching in multi-state survival models.
 Includes tools for simulating survival data and estimating
 transition-specific coxph models with frailty terms. The primary
 methodological work on multistate censored data modeling using propensity
 score matching has been published by Bhattacharjee et al.(2024)
 <doi:10.1038/s41598-024-54149-y>.

Package: r-cran-dsi
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-progress, r-cran-r6, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dsi_1.7.1-1.ca2004.1_all.deb
Size: 289988
MD5sum: c491cb4b1be3d63f5c9d84d6fd7d90d1
SHA1: c9071ec11554c42f5fa372acb1c4b933342e73ed
SHA256: 01f945827fa987f40a63acaf37b71431ebdb3d7dcc34d76f49e7a761dbcb09a4
SHA512: 9cca4c72df8bd78f4088b98530ebdc9eea6b0849426c0641c690ddafd9f592fc08e900b37066b7c4a3886e628f84c92ab19538beb2a7cb48a801188ab2709348
Homepage: https://cran.r-project.org/package=DSI
Description: CRAN Package 'DSI' ('DataSHIELD' Interface)
 'DataSHIELD' is an infrastructure and series of R packages that enables the
 remote and 'non-disclosive' analysis of sensitive research data.  This
 package defines the API that is to be implemented by 'DataSHIELD' compliant
 data repositories.

Package: r-cran-dsims
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dssd, r-cran-mrds, r-cran-distance, r-cran-sf, r-cran-ggplot2, r-cran-purrr, r-cran-dplyr, r-cran-mgcv, r-cran-rstudioapi, r-cran-gridextra, r-cran-rlang
Suggests: r-cran-testthat, r-cran-bookdown, r-cran-pbapply, r-cran-knitr, r-cran-lwgeom, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dsims_1.0.6-1.ca2004.1_all.deb
Size: 445420
MD5sum: 030c1d7a67361dff911aa746c63e624e
SHA1: 04d5ace00e0cb03645c6c46733dbf75794c6cc69
SHA256: a713a697e5adf0c8b18cc7561ae077a54f4cbe6146acd9a9417fe588979f2299
SHA512: cb3b06eff37fc2d8cff83c8bd631c503b28b89253faaecbc0e15e6318e1f82427466e76540896e4fc81409a7c17e7c1a2c4ba763e7cecba1c061986b4bdad557
Homepage: https://cran.r-project.org/package=dsims
Description: CRAN Package 'dsims' (Distance Sampling Simulations)
 Performs distance sampling simulations. 'dsims' repeatedly generates
 instances of a user defined population within a given survey region. It then
 generates realisations of a survey design and simulates the detection
 process.  The data are then analysed so that the results can be compared for
 accuracy and precision across all replications. This process allows users to
 optimise survey designs for their specific set of survey conditions. The
 effects of uncertainty in population distribution or parameters can be
 investigated under a number of simulations so that users can be confident
 that they have achieved a robust survey design before deploying vessels into
 the field. The distance sampling designs used in this package from 'dssd'
 are detailed in Chapter 7 of Advanced Distance Sampling, Buckland et. al.
 (2008, ISBN-13: 978-0199225873). General distance sampling methods are
 detailed in Introduction to Distance Sampling: Estimating Abundance of
 Biological Populations, Buckland et. al. (2004, ISBN-13: 978-0198509271).
 Find out more about estimating animal/plant abundance with distance sampling
 at <https://distancesampling.org/>.

Package: r-cran-dsjobtracker
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1015
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-tidyr, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-testthat, r-cran-wordcloud2, r-cran-forcats, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-dsjobtracker_2.0.0-1.ca2004.1_all.deb
Size: 721104
MD5sum: 551f3f91c4c64c7e3d3e6aa0aeb49aa9
SHA1: 3f1ea80aeb895dae3ab2ad6bf26c072f39f5f900
SHA256: eb85cfcca43bfbae3f52f477da0b891cd950e034b25364ff1905913bb14d3b4d
SHA512: c4541e38fc750e6bf39e790b353e85c1f4b57bd64668842f2affa32bdd9d5b03d16411898a960d9a7a6c6e139b9145ef455380b132ed47ae0c6ad777adfd0a8f
Homepage: https://cran.r-project.org/package=DSjobtracker
Description: CRAN Package 'DSjobtracker' (What Skills and Qualifications are Required for Data ScienceRelated Jobs?)
 Dataset containing information about job listings for data science job
 roles.

Package: r-cran-dslabs
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4963
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-dslabs_0.8.0-1.ca2004.1_all.deb
Size: 4641556
MD5sum: fbebee51ed4d0ca66fe29e6f6d67eeac
SHA1: 1cc9553294ce4f697e5ad815b27041cbd05e9ae8
SHA256: aa18253bb4089e8cb1778fd9bf1a6c5def3d94e7af8223a0b139b01cfeeb859b
SHA512: 0986f0115e14a5c227ef2f321d4cd6a84fde44678ae7f0f358848bbb3d8d10e249044abb018babe6187da3c427a60f40c4ae657d2e9f43648b4073c0c61eae30
Homepage: https://cran.r-project.org/package=dslabs
Description: CRAN Package 'dslabs' (Data Science Labs)
 Datasets and functions that can be used for data analysis practice, homework
 and projects in data science courses and workshops. 26 datasets are
 available for case studies in data visualization, statistical inference,
 modeling, linear regression, data wrangling and machine learning.

Package: r-cran-dsld
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 957
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fairml, r-cran-gtools, r-cran-regtools, r-cran-qeml, r-cran-rmarkdown, r-cran-kendall, r-cran-ranger, r-cran-ggplot2, r-cran-plotly, r-cran-freqparcoord, r-cran-fairness, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-bnlearn, r-cran-matching, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-dsld_0.2.2-1.ca2004.1_all.deb
Size: 696388
MD5sum: 136b1fad2f11907121b7dffed5ebdc92
SHA1: 038774a65b7da04d51014bd68bd43fac30058ecf
SHA256: 694bd4e3637192712959511978abe47ed9d7d4eb34e06072caf06c1f707b1e4c
SHA512: 4d7a5b48b5dc895f2292a69c485b1f336ee9c3b095fb5e503f0bddf43d67c575da0ead95ff33717fa1f68b1d7ce55399cf07fb3153b5a7a124b0d6b51d9ffc31
Homepage: https://cran.r-project.org/package=dsld
Description: CRAN Package 'dsld' (Data Science Looks at Discrimination)
 Statistical and graphical tools for detecting and measuring discrimination
 and bias, be it racial, gender, age or other.  Detection and remediation of
 bias in machine learning algorithms.  'Python' interfaces available.

Package: r-cran-dslite
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2261
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dsi, r-cran-r6, r-cran-rly
Suggests: r-cran-resourcer, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dslite_1.4.0-1.ca2004.1_all.deb
Size: 2023104
MD5sum: 974fb354bba8c203b0af65fe4d2c3529
SHA1: ef3baf86817d3d99aecc7a21cbac75113c2eecda
SHA256: 05bff62bbfe986fee9438e09e683a89b88b9bedaca05d53e24b415d32b8d94a8
SHA512: 3338fab048e6d7ca26eb14024c46093276c5f266bb13686058a61aeced3a3997e3dd0ee9c5e8aec713680f3c3abe28b2d951864f6fad696011b3bafdd0f71e74
Homepage: https://cran.r-project.org/package=DSLite
Description: CRAN Package 'DSLite' ('DataSHIELD' Implementation on Local Datasets)
 'DataSHIELD' is an infrastructure and series of R packages that enables the
 remote and 'non-disclosive' analysis of sensitive research data.  This
 'DataSHIELD Interface' implementation is for analyzing datasets living in
 the current R session. The purpose of this is primarily for lightweight
 'DataSHIELD' analysis package development.

Package: r-cran-dsm
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mgcv, r-cran-mrds, r-cran-numderiv, r-cran-nlme, r-cran-ggplot2, r-cran-plyr, r-cran-statmod
Suggests: r-cran-distance, r-cran-sp, r-cran-tweedie, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dsm_2.3.3-1.ca2004.1_all.deb
Size: 279884
MD5sum: e0db4cdc2d5add2c6ab1e0a5e7b12694
SHA1: 2738b44051f4b042173f3eadf1841377724d70e4
SHA256: 45c05bf1b185c48ce06b6a8ee83a1e81c3a4e48f21a341fe74bf747531922a1f
SHA512: 9e2dc619af98b9b756b56375c98684e47f30f94ba580d95d979e34f1a49cb3be8587e239d7e047a1e189c73830eb14946c10b7922948cd9b914653f7141a8012
Homepage: https://cran.r-project.org/package=dsm
Description: CRAN Package 'dsm' (Density Surface Modelling of Distance Sampling Data)
 Density surface modelling of line transect data. A Generalized Additive
 Model-based approach is used to calculate spatially-explicit estimates of
 animal abundance from distance sampling (also presence/absence and strip
 transect) data. Several utility functions are provided for model checking,
 plotting and variance estimation.

Package: r-cran-dsmolgenisarmadillo
Architecture: all
Version: 2.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 647
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dsi, r-cran-molgenisauth, r-cran-httr, r-cran-stringr, r-cran-base64enc, r-cran-urltools, r-cran-dplyr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-mockery, r-cran-testthat, r-cran-tibble, r-cran-rmarkdown, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-dsmolgenisarmadillo_2.0.9-1.ca2004.1_all.deb
Size: 229784
MD5sum: 9ea5ad2b84abff8b4b392330a502fe52
SHA1: 7b10a3166111566757df96c79fa2d5f35327a205
SHA256: 8b382f0324ad8d0c60cc44beda7190d368bbea5c9700488f6b22934f8a8e5650
SHA512: 737039f2fcff5614bb928a397a5d197f21ec27b9f988a772462057782003f0e7abc04d4b25b7a1fbf49618ae098127a910df7fc16b66cb448a824001a490cc2e
Homepage: https://cran.r-project.org/package=DSMolgenisArmadillo
Description: CRAN Package 'DSMolgenisArmadillo' ('DataSHIELD' Client for 'MOLGENIS Armadillo')
 'DataSHIELD' is an infrastructure and series of R packages that enables the
 remote and 'non-disclosive' analysis of sensitive research data.  This
 package is the 'DataSHIELD' interface implementation to analyze data shared
 on a 'MOLGENIS Armadillo' server. 'MOLGENIS Armadillo' is a light-weight
 'DataSHIELD' server using a file store and an 'RServe' server.

Package: r-cran-dsmsearch
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 789
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-sp, r-cran-terra, r-cran-lidr, r-cran-httr2, r-cran-forestdata, r-cran-nominatimlite, r-cran-imager
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dsmsearch_1.2.1-1.ca2004.1_all.deb
Size: 241120
MD5sum: c6797b960dff39a5ebd43f6a6cf70778
SHA1: 77e5f82ca0adc42b6ea09657e9799b7b25e5ffc0
SHA256: 2eb37925ccfbdfae0d4afe54afaed0c91be806ed0e1d46e68166efae2cd96b86
SHA512: f34d04e96abff4c7553c35bf64f72c5901264c19ac698d7a1762b7d86b7b45828b7c637a5cdaa2c4f5fedcc8818b3cdeb89e97b0fa0451c99285f427b9c9d52b
Homepage: https://cran.r-project.org/package=dsmSearch
Description: CRAN Package 'dsmSearch' (DSM and LiDAR downloader)
 A collection of functions to search and donwload DSM (Digital Surface Model)
 and LiDAR (Light Detection and Ranging) data via APIs, including
 'OpenTopography' <https://portal.opentopography.org/apidocs/> and
 'TNMAccess' <https://apps.nationalmap.gov/tnmaccess/#/>.

Package: r-cran-dsopal
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-opalr, r-cran-dsi
Filename: pool/dists/focal/main/r-cran-dsopal_1.4.0-1.ca2004.1_all.deb
Size: 144340
MD5sum: ed8576d2289cc98cfcb02e64c79ca3a7
SHA1: 65050eec04270937d0a3d3fb455cef2269500e5b
SHA256: 04e1cc1ec6e84631b11cb0143ddb155fc778f3ec00b6b5844d3e86293c6a8e07
SHA512: 9a7508b703c7d91dc75eb567355071fb8318ac2d06d26293d7a325b2b3037b45baddbd0be47fd7dbbb8c6fa45129cdd69da4fad1eace0363a0abcc533479aeb4
Homepage: https://cran.r-project.org/package=DSOpal
Description: CRAN Package 'DSOpal' ('DataSHIELD' Implementation for 'Opal')
 'DataSHIELD' is an infrastructure and series of R packages that enables the
 remote and 'non-disclosive' analysis of sensitive research data.  This
 package is the 'DataSHIELD' interface implementation for 'Opal', which is
 the data integration application for biobanks by 'OBiBa'. Participant data,
 once collected from any data source, must be integrated and stored in a
 central data repository under a uniform model. 'Opal' is such a central
 repository.  It can import, process, validate, query, analyze, report, and
 export data.  'Opal' is the reference implementation of the 'DataSHIELD'
 infrastructure.

Package: r-cran-dsos
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2555
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-future.apply, r-cran-ggplot2, r-cran-scales, r-cran-simctest
Suggests: r-cran-fdrtool, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dsos_0.1.2-1.ca2004.1_all.deb
Size: 409948
MD5sum: 399b6bf50d6704dde02613c0dfc02597
SHA1: dbce0d059157d9eb669525043bb2ba74a0d468d4
SHA256: 322b913e98f14ce94de36af7fbe57b9cbe9ede9d420d1989ef5ea3280afc58eb
SHA512: 4e71e2f7e2ab8a8d696e51f2b1917ae462f5a3bb592c6975409ddadc95f4ba04420c2d558150ffcf560ab988971fa571d2eba450d0ae4391d86a10a067bb019f
Homepage: https://cran.r-project.org/package=dsos
Description: CRAN Package 'dsos' (Dataset Shift with Outlier Scores)
 Test for no adverse shift in two-sample comparison when we have a training
 set, the reference distribution, and a test set. The approach is flexible
 and relies on a robust and powerful test statistic, the weighted AUC.
 Technical details are in Kamulete, V. M.  (2021) <arXiv:1908.04000>. Modern
 notions of outlyingness such as trust scores and prediction uncertainty can
 be used as the underlying scores for example.

Package: r-cran-dspoty
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-httr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-dspoty_0.1.0-1.ca2004.1_all.deb
Size: 106192
MD5sum: a068aa99817abcc037803404ff610522
SHA1: 8735eed5c724289757c4c77d97df950113899602
SHA256: 802db2d11c0035902fd2ae5dcf3e6b2f344e2fb8c20698bd42be39c78f03bc4e
SHA512: 541efd306249edf205e30b6f17886b0381e81b5a231b1b5c8f6d2e38f8da27b4213f9cf0eedf393fd0bb60bc6d0ce8cce2f0e05bd8f8b926f0063e22563b84c7
Homepage: https://cran.r-project.org/package=DSpoty
Description: CRAN Package 'DSpoty' (Get 'Spotify' API Multiple Information)
 You can retrieve 'Spotify' API Information such as artists, albums, tracks,
 features tracks, recommendations or related artists.  This package allows
 you to search all the information by name and also includes a distance based
 algorithm to find similar songs.  More information:
 <https://developer.spotify.com/documentation/web-api/> .

Package: r-cran-dsrtest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-exactci, r-cran-asht, r-cran-loglognorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dsrtest_1.0.0-1.ca2004.1_all.deb
Size: 53720
MD5sum: 1ae022037c15a8389360bc234dea884e
SHA1: 727cf8c88081b2d0205c5736b0a6f195429bda76
SHA256: da3837a8e1ac0702c1a0a7604d190d35b8524656828af3068673e3f37f81f35e
SHA512: c65745afeb323e05b7fcc4410cae988118e3f0de8912f930d8fe4226def63303d8cc1df9f2893e2e6a306ceeb2f38dc818e23c8a21d77f3af8b52914987b2de3
Homepage: https://cran.r-project.org/package=dsrTest
Description: CRAN Package 'dsrTest' (Tests and Confidence Intervals on Directly Standardized Ratesfor Several Methods)
 Perform a test of a simple null hypothesis about a directly standardized
 rate and obtain the matching confidence interval using a choice of methods.

Package: r-cran-dssat
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2275
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dssat_0.0.9-1.ca2004.1_all.deb
Size: 437352
MD5sum: d5759f649c33229a93460ca9da26e61e
SHA1: 0dfbaf7007ac84e408440e909f5ee7972d0a5533
SHA256: 25196649a83571de488c38c3675bcee50f2054c0d29619ebf8c85cd3f50ec996
SHA512: 396c02021e56160f072fed693a23a289f4719cea1af3544ee9354f41929a4d819d5c0e71d6adeb7916f07f7c42eea9388f5173082b7d4931847a0592806429f5
Homepage: https://cran.r-project.org/package=DSSAT
Description: CRAN Package 'DSSAT' (A Comprehensive R Interface for the DSSAT Cropping Systems Model)
 The purpose of this package is to provide a comprehensive R interface to the
 Decision Support System for Agrotechnology Transfer Cropping Systems Model
 (DSSAT-CSM; see <https://dssat.net> for more information).  The package
 provides cross-platform functions to read and write input files, run
 DSSAT-CSM, and read output files.

Package: r-cran-dssd
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1482
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dssd_1.0.3-1.ca2004.1_all.deb
Size: 946284
MD5sum: 6bfa116ef6d51d15d3791bfe4f8b5e6d
SHA1: a182a1edc302cd4078245e04e7805c02a8eda0cb
SHA256: ed68a8db8d58f1c3ab02936d3c9a9d2eb9cd99f9af943b591e7d19270f981abf
SHA512: bac7fb8537c4d4c81b2aec454a670538ee1d1773e093307e52541a32b0d1c43a7e9367ac274b3c49e6221810b32352e77f5bbd8be40774f62f051207d00d86a3
Homepage: https://cran.r-project.org/package=dssd
Description: CRAN Package 'dssd' (Distance Sampling Survey Design)
 Creates survey designs for distance sampling surveys. These designs can be
 assessed for various effort and coverage statistics.  Once the user is
 satisfied with the design characteristics they can generate a set of
 transects to use in their distance sampling survey.  Many of the designs
 implemented in this R package were first made available in our 'Distance'
 for Windows software and are detailed in Chapter 7 of Advanced Distance
 Sampling, Buckland et. al. (2008, ISBN-13: 978-0199225873). Find out more
 about estimating animal/plant abundance with distance sampling at
 <https://distancesampling.org/>.

Package: r-cran-dssim
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1608
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mrds, r-cran-splancs, r-cran-mgcv, r-cran-shapefiles, r-cran-rgeos, r-cran-fields, r-cran-sp
Suggests: r-cran-testthat, r-cran-pbapply, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dssim_1.1.5-1.ca2004.1_all.deb
Size: 1100164
MD5sum: 487ed1bce8f395fea0579bf6fc6265ee
SHA1: 71babafb93fe257d707f7a6f25f0d281e2635b40
SHA256: 5cb4c40f2289624e75a2a98e0c0218730eaafe501aee1ee256f9b5bfbb814e55
SHA512: f26146acdc2a8497f58f4ebc3502836649f203504d2c755dac32b8f2f5cd20afef6a7867ddc17fe4cb46a9d488f30c66ad0649acc0012a1f100700c47755cf86
Homepage: https://cran.r-project.org/package=DSsim
Description: CRAN Package 'DSsim' (Distance Sampling Simulations)
 Performs distance sampling simulations.It repeatedly generates instances of
 a user defined population within a given survey region, generates
 realisations of a survey design (currently these must be generated using
 Distance software in advance <http://distancesampling.org/>) and simulates
 the detection process. The data are then analysed so that the results can be
 compared for accuracy and precision across all replications. This will allow
 users to select survey designs which will give them the best accuracy and
 precision given their expectations about population distribution. Any
 uncertainty in population distribution or population parameters can be
 included by running the different survey designs for a number of different
 population descriptions. An example simulation can be found in the help file
 for make.simulation.

Package: r-cran-dst
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-matrix, r-cran-rlang
Suggests: r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dst_1.8.0-1.ca2004.1_all.deb
Size: 601488
MD5sum: 0b4b4e9a47f28a7779b9c4c6d9706bdd
SHA1: 4e00ec50dbbd45ef263ab55a97cac5f9eab0076d
SHA256: 96621d50fa3581ee85dd9bfc07a809a03f1483d16ea0361249008a18a2519d28
SHA512: ab740686c2b5bdefe570b0c55274135ccf9d536cef068540f4544d16eb9afb6b3e4cbd97ced0125dc7439929b96a83ac144f94a9c35051209bbe9c0ba839420a
Homepage: https://cran.r-project.org/package=dst
Description: CRAN Package 'dst' (Using the Theory of Belief Functions)
 Using the Theory of Belief Functions for evidence calculus. Basic
 probability assignments, or mass functions, can be defined on the subsets of
 a set of possible values and combined. A mass function can be extended to a
 larger frame. Marginalization, i.e. reduction to a smaller frame can also be
 done. These features can be combined to analyze small belief networks and
 take into account situations where information cannot be satisfactorily
 described by probability distributions.

Package: r-cran-dstabledist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stabledist, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-dstabledist_0.1.0-1.ca2004.1_all.deb
Size: 28192
MD5sum: 8ab8c563f394afeac731ebaac103c53b
SHA1: ad222d12c4a6e9a573cfdff2b4be02582c400224
SHA256: 59196c486616c675783db6c2322b99055576b6070d46f1eda73aeac59f62e3f7
SHA512: 4e53a1081448e986ff1b742d3088510de61770c2ce28d0e16c465da7ae6ea731c8464673fcef19db647a629be8f8dc64afdc0ac8b55d81f3cc594eb3e7480716
Homepage: https://cran.r-project.org/package=dstabledist
Description: CRAN Package 'dstabledist' (The Discrete Stable Distribution Functions)
 Probability generating function, formulae for the probabilities (discrete
 density) and random generation for discrete stable random variables.

Package: r-cran-dstat2x2xk
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn
Filename: pool/dists/focal/main/r-cran-dstat2x2xk_0.2.0-1.ca2004.1_all.deb
Size: 25652
MD5sum: d33d6254ee4c1979486143e32a57b923
SHA1: 8ee4c63eecfd999427d9a22a679eb0068c252655
SHA256: 3eab9b0357b534da985d0b0d704dd3b9a1e9948898bdb528e963ddc021eea813
SHA512: 0b3e8a4e6861ed011e0e89a9b8941c7b04ff6a49e696148671dbb0309bb664b60c56257efb66f970f486c02bfe59e0c650d07a4488da3969497e28f5c64d2fb2
Homepage: https://cran.r-project.org/package=dstat2x2xk
Description: CRAN Package 'dstat2x2xk' (Demonstrated Insensitivity to Bias in 2x2xK Contingency Tables)
 For an observational study with binary treatment, binary outcome and K
 strata, implements a d-statistic that uses those strata most insensitive to
 unmeasured bias in treatment assignment.<doi:10.1093/biomet/asaa032> The
 package has one function, dstat2x2xk.

Package: r-cran-dstat
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dstat_1.0.4-1.ca2004.1_all.deb
Size: 115668
MD5sum: 68697c2c3adf9aa25cf3ecc01371dfc9
SHA1: 9e7cb6b68a3cef5baedde43fdfdaca1d71d5d4c0
SHA256: 17d7e0d023e250ad98dccce79f1316a1f4d06357706c123124f1971bdb4c8570
SHA512: a974f0dbe6dd68d409ce6bb0f7458e218343b8d5674fbcef22e18cb2770e68150cb7eff3577d5960f2df8f74a63aef14cff3c72cb3c139d127a41d1ff3eae140
Homepage: https://cran.r-project.org/package=dstat
Description: CRAN Package 'dstat' (Conditional Sensitivity Analysis for Matched ObservationalStudies)
 A d-statistic tests the null hypothesis of no treatment effect in a matched,
 nonrandomized study of the effects caused by treatments.  A d-statistic
 focuses on subsets of matched pairs that demonstrate insensitivity to
 unmeasured bias in such an observational study, correcting for double-use of
 the data by conditional inference. This conditional inference can, in
 favorable circumstances, substantially increase the power of a sensitivity
 analysis (Rosenbaum (2010) <doi:10.1007/978-1-4419-1213-8_14>).  There are
 two examples, one concerning unemployment from Lalive et al. (2006)
 <doi:10.1111/j.1467-937X.2006.00406.x>, the other concerning smoking and
 periodontal disease from Rosenbaum (2017) <doi:10.1214/17-STS621>.

Package: r-cran-dstem
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dstem_2.0-1-1.ca2004.1_all.deb
Size: 96280
MD5sum: 5c675263131795af5086b0d4ef8ec057
SHA1: aa1b516f50ddd62af0c0cf7c5b285332393fb017
SHA256: a2eb5acf7dc73e02a84c25ebea6ed71c496e961e1f3956c264a05655dad9f2bb
SHA512: f2a3de8135c9d91be962087f7bf8e25309357bc7001462f60866bb6a61d86532efe9012bf069b4175d2cc95bb5e74fba1c106e7a28f0c7cd58ca2406f12d31e4
Homepage: https://cran.r-project.org/package=dSTEM
Description: CRAN Package 'dSTEM' (Multiple Testing of Local Extrema for Detection of Change Points)
 Simultaneously detect the number and locations of change points in piecewise
 linear models under stationary Gaussian noise allowing autocorrelated random
 noise. The core idea is to transform the problem of detecting change points
 into the detection of local extrema (local maxima and local minima)through
 kernel smoothing and differentiation of the data sequence, see Cheng et al.
 (2020) <doi:10.1214/20-EJS1751>. A low-computational and fast algorithm call
 'dSTEM' is introduced to detect change points based on the 'STEM' algorithm
 in D. Cheng and A. Schwartzman (2017) <doi:10.1214/16-AOS1458>.

Package: r-cran-dstidyverse
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-cli
Suggests: r-cran-testthat, r-cran-tibble, r-cran-dslite, r-cran-dsi, r-cran-dplyr, r-cran-purrr, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-dstidyverse_1.0.4-1.ca2004.1_all.deb
Size: 67672
MD5sum: 4684dfd40fdfd8faa6b1a71f7a9e1351
SHA1: b2bacdfce30ef0a0391a0a95837d176a3943b68e
SHA256: 4bfbfbd474fa2ef9f1468689843ae9989534c561607b5bbb7a1e614ac7f5eee0
SHA512: b02fd29823901718f8940de37b7e374548f504a6a2e2bac481bbad4adda12c1712937f040f8e56f4d5f21ee47897e162984d3af317515cc0e2ec8f88109067be
Homepage: https://cran.r-project.org/package=dsTidyverse
Description: CRAN Package 'dsTidyverse' ('DataSHIELD' 'Tidyverse' Serverside Package)
 Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an
 open-source federated analysis solution in R. Currently, DataSHIELD contains
 very limited tools for data manipulation, so the aim of this package is to
 improve the researcher experience by implementing essential functions for
 data manipulation, including subsetting, filtering, grouping, and renaming
 variables. This is the serverside package which should be installed on the
 server holding the data, and is used in conjuncture with the clientside
 package 'dsTidyverseClient' which is installed in the local R environment of
 the analyst. For more information, see <https://www.tidyverse.org/> and
 <https://datashield.org/>.

Package: r-cran-dstidyverseclient
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dsi, r-cran-cli, r-cran-rlang, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dslite, r-cran-dstidyverse, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-dstidyverseclient_1.0.2-1.ca2004.1_all.deb
Size: 71788
MD5sum: 011404435bb2792b5cdd308bb861286f
SHA1: e064776bf229a16fc82f728d0f88423105efd274
SHA256: 63e9819b88496600d62589459828307b72c30f2c1819e187dc7ed33fdef2e5a1
SHA512: 72e93180185322aea383b51ce8dc5ab17ae0f4c43338299d5dcee0a2a5eb566b48a81806a480df2a076ad12bfba5f8c8f30fcb71cd9608ac55599470b9d0197e
Homepage: https://cran.r-project.org/package=dsTidyverseClient
Description: CRAN Package 'dsTidyverseClient' ('DataSHIELD' 'Tidyverse' Clientside Package)
 Implementation of selected 'Tidyverse' functions within 'DataSHIELD', an
 open-source federated analysis solution in R. Currently, 'DataSHIELD'
 contains very limited tools for data manipulation, so the aim of this
 package is to improve the researcher experience by implementing essential
 functions for data manipulation, including subsetting, filtering, grouping,
 and renaming variables. This is the clientside package which should be
 installed locally, and is used in conjuncture with the serverside package
 'dsTidyverse' which is installed on the remote server holding the data. For
 more information, see <https://www.tidyverse.org/>,
 <https://datashield.org/> and <https://github.com/molgenis/ds-tidyverse>.

Package: r-cran-dsva
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3803
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-sva
Filename: pool/dists/focal/main/r-cran-dsva_1.0-1.ca2004.1_all.deb
Size: 3861524
MD5sum: d89b4298ae2a5c96badca4a7b49d4598
SHA1: fd1b2a0834fc653ff5315655e5a9405ac8e64cb4
SHA256: a32f50ba670479d4d6196783e8cd0a93d21da188360fd42cc426045ecd81ec15
SHA512: 70e6207ccb95f823655aa99633ba838345eedb882ac1a0073fea3d496921f979f5b3b17e8bdd2e26a324bd20b86f9b013657bce443f44f43d8b26e1a55224632
Homepage: https://cran.r-project.org/package=dSVA
Description: CRAN Package 'dSVA' (Direct Surrogate Variable Analysis)
 Functions for direct surrogate variable analysis, which can identify hidden
 factors in high-dimensional biomedical data.

Package: r-cran-dsviadrm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2424
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ppcor
Filename: pool/dists/focal/main/r-cran-dsviadrm_1.0-1.ca2004.1_all.deb
Size: 2441164
MD5sum: 3e970d4e8b189592dfb8448a13e85f74
SHA1: ae698bf184e1b5515a41a922d5446aa73308acd9
SHA256: 4baafc6fd16464dfda5d90c01a1b629f7115484b3219f1b179ea124e1966df97
SHA512: 321c67e6d6dc7da395de6c7e262a131ce2b00b95d03df4d9dc1dfe1df732ec498efac286ac5eebce6ccdc21b204ecd2b23c8642cada3413852dc736087df8d47
Homepage: https://cran.r-project.org/package=DSviaDRM
Description: CRAN Package 'DSviaDRM' (Exploring Disease Similarity in Terms of DysfunctionalRegulatory Mechanisms)
 Elucidation of human disease similarities has emerged as an active research
 area, which is highly relevant to etiology, disease classification, and drug
 repositioning. This package was designed and implemented for identifying
 disease similarities. It contains five functions which are 'DCEA',
 'DCpathway', 'DS', 'comDCGL' and 'comDCGLplot'. In 'DCEA' function,
 differentially co-expressed genes and differentially co-expressed links are
 extracted from disease vs. health samples. Then 'DCpathway' function assigns
 differential co-expression values of pathways to be the average differential
 co-expression value of their component genes. Then 'DS' employs partial
 correlation coefficient of pathways as the disease similarity for each
 disease pairs. And 'DS' contains a permutation process for evaluating the
 statistical significant of observed disease partial correlation
 coefficients. At last, 'comDCGL' and 'comDCGLplot' sort out shared
 differentially co-expressed genes and differentially co-expressed links with
 regulation information and visualize them.

Package: r-cran-dt
Architecture: all
Version: 0.33-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5730
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httpuv, r-cran-jsonlite, r-cran-magrittr, r-cran-crosstalk, r-cran-jquerylib, r-cran-promises
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-bslib, r-cran-future, r-cran-testit, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-dt_0.33-1.ca2004.1_all.deb
Size: 1323048
MD5sum: 6c24d330dd44def71832a3efa916603c
SHA1: 0e852717cba4fa36c538eb72c5d4c1073e9b8f77
SHA256: 0c6084a0aaaee2544d1c99bcb63b45b673a4b8d1f6cf5c01c947d5f85031a785
SHA512: 434006bd4ce7a5da21a889cb54b6405be7357d9a6e344dde607d174fa00c86b53e6e554ec383191ff1c15e40cec9ffb0c612a97948e32584bf8cfc133e4fd1da
Homepage: https://cran.r-project.org/package=DT
Description: CRAN Package 'DT' (A Wrapper of the JavaScript Library 'DataTables')
 Data objects in R can be rendered as HTML tables using the JavaScript
 library 'DataTables' (typically via R Markdown or Shiny). The 'DataTables'
 library has been included in this R package. The package name 'DT' is an
 abbreviation of 'DataTables'.

Package: r-cran-dtableone
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-epir, r-cran-irr, r-cran-proc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtableone_1.1.0-1.ca2004.1_all.deb
Size: 32084
MD5sum: 6aed32f1310548d43f267cf413405ef0
SHA1: d7dada241f5e2d3a80530ed758659b74b7e162c6
SHA256: e4cbfb0f850c45b816b11b87d7d88073ec9500bdaebf9931967c7d3750f4a958
SHA512: 3591b534d3b8ad2d0c17d481dd96df0162c2b51f7afaedd0e87cb01873b26a0863085a47fff8b3a44b640f8f516fe6ce3f7012d92aada801ad92348c30e6b2dd
Homepage: https://cran.r-project.org/package=Dtableone
Description: CRAN Package 'Dtableone' (Tabular Comparison of Paired Diagnostic Tests)
 Offers statistical methods to compare diagnostic performance between two
 binary diagnostic tests on the same subject in clinical studies. Includes
 functions for generating formatted tables to display diagnostic outcomes,
 facilitating a clear and comprehensive comparison directly through the R
 console. Inspired by and extending the functionalities of the 'DTComPair',
 'tableone', and 'gtsummary' packages.

Package: r-cran-dtangle
Architecture: all
Version: 2.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptimr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtangle_2.0.9-1.ca2004.1_all.deb
Size: 317888
MD5sum: 1cd87872f683d4c291404638274ebbb0
SHA1: 29bb0975c9c63b03590f9f31d2c31801b398b777
SHA256: 736a353ce781068f2021a85d60b3f351fb0667e8d2d2e96b9baccab44ac8f58b
SHA512: 72a91401e8b145e4d3c44f18346222cc41fe684b9d438de45d326299b50f2877d55227c760675fda9ccf479f2ef083a81bc6d787b0f84033d0f9e7ea16a4a973
Homepage: https://cran.r-project.org/package=dtangle
Description: CRAN Package 'dtangle' (Cell Type Deconvolution from Gene Expressions)
 Deconvolving cell types from high-throughput gene profiling data. For more
 information on dtangle see Hunt et al. (2019)
 <doi:10.1093/bioinformatics/bty926>.

Package: r-cran-dtaplots
Architecture: all
Version: 1.0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2997
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dtaplots_1.0.2.5-1.ca2004.1_all.deb
Size: 3031748
MD5sum: 1a2bc6168c1f81f1afb13b298dec7bc1
SHA1: e92ac87bbde9de0c38577b9c0cff0b74a349df66
SHA256: 1103e577eb447fdfe2934abd3fb28a924b2d317467dfd8fc51d54b8e8e1b4820
SHA512: b504667e7e877e2c486613b6fc8895e65c26afe679c3aa948476663370e16a6acb4e4b9a09fc92eb2e06c6c7c200124320e1532407a807f0583f71c7041af90e
Homepage: https://cran.r-project.org/package=DTAplots
Description: CRAN Package 'DTAplots' (Creates Plots Accompanying Bayesian Diagnostic Test AccuracyMeta-Analyses)
 Function to create forest plots. Functions to use posterior samples from
 Bayesian bivariate meta-analysis model, Bayesian hierarchical summary
 receiver operating characteristic (HSROC) meta-analysis model or Bayesian
 latent class (LC) meta-analysis model to create Summary Receiver Operating
 Characteristic (SROC) plots using methods described by Harbord et al
 (2007)<doi:10.1093/biostatistics/kxl004>.

Package: r-cran-dtat
Architecture: all
Version: 0.3-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2871
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-km.ci, r-cran-pomp, r-cran-hmisc, r-cran-data.table, r-cran-dplyr, r-cran-r2d3, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-latticeextra, r-cran-widgetframe, r-cran-tidyr, r-cran-rcolorbrewer, r-cran-invgamma, r-cran-zipfr, r-cran-rms
Filename: pool/dists/focal/main/r-cran-dtat_0.3-7-1.ca2004.1_all.deb
Size: 2192156
MD5sum: 8a89e64aef2caefb01e1c9fcd826779f
SHA1: 2ec69c51571c17004309bd0623346b4b5fe60018
SHA256: 1548513f0fc9d2e19536b9783571d7859b2bb5c63fe70da1ee7a627603067d5e
SHA512: eb7a9f5cbaaff3b2239ee88bf8cbeab080451a30f470c5c3beca2ccee7fd6e4b63d2991d72c13d78c50962ae2d6d42f28da35a0c14b3f7e0fcfdfd28106f38c6
Homepage: https://cran.r-project.org/package=DTAT
Description: CRAN Package 'DTAT' (Dose Titration Algorithm Tuning)
 Dose Titration Algorithm Tuning (DTAT) is a methodologic framework allowing
 dose individualization to be conceived as a continuous learning process that
 begins in early-phase clinical trials and continues throughout drug
 development, on into clinical practice.  This package includes code that
 researchers may use to reproduce or extend key results of the DTAT research
 programme, plus tools for trialists to design and simulate a '3+3/PC'
 dose-finding study.  Please see Norris (2017a)
 <doi:10.12688/f1000research.10624.3> and Norris (2017c)
 <doi:10.1101/240846>.

Package: r-cran-dtaxg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dtaxg_0.1.0-1.ca2004.1_all.deb
Size: 17392
MD5sum: eda52d1c9932a999eb1391bc91d41b26
SHA1: 955d60a4433bb19736a61086bcac616a358a1643
SHA256: 21d134944ff5fa0a43d076f284d10986f61c026bf388dc90420ac40c092520dc
SHA512: b136f15c5a86a9b227fc384bb78be68d1dd9a84e0863d7cee246977ad5f75152106d38305aefe04d66509947d138ab3fe1b7d7d64dbf2b1ff259b5785baf6032
Homepage: https://cran.r-project.org/package=DTAXG
Description: CRAN Package 'DTAXG' (Diagnostic Test Assessment in the Absence of Gold Standard)
 To calculate the sensitivity and specificity in the absence of gold standard
 using the Bayesian method.  The Bayesian method can be referenced at Haiyan
 Gu and Qiguang Chen (1999) <doi:10.3969/j.issn.1002-3674.1999.04.004>.

Package: r-cran-dtbm
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-weightedcluster, r-cran-envstats
Filename: pool/dists/focal/main/r-cran-dtbm_3.0-1.ca2004.1_all.deb
Size: 612576
MD5sum: 8b5951d06325427f45f2e424598b91b4
SHA1: 7650c246c375e49d8f56a67b7917e46011f47250
SHA256: 5e1dc7fd53469015412dced564a30f0113e1d5ee23fc4f568fe183e1dcba223c
SHA512: 03f2197a9ec1ba8b8aebe1886a2da16ce80360382c5e2e58f9907923d8c12e222e87443b79ed5d5d8cfd924eb0b96fde68c700345c3823905401ca78618fb67e
Homepage: https://cran.r-project.org/package=dTBM
Description: CRAN Package 'dTBM' (Multi-Way Spherical Clustering via Degree-Corrected Tensor BlockModels)
 Implement weighted higher-order initialization and angle-based iteration for
 multi-way spherical clustering under degree-corrected tensor block model.
 See reference Jiaxin Hu and Miaoyan Wang (2023)
 <doi:10.1109/TIT.2023.3239521>.

Package: r-cran-dtcomb
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-proc, r-cran-caret, r-cran-epir, r-cran-gam, r-cran-ggplot2, r-cran-ggpubr, r-cran-glmnet, r-cran-optimalcutpoints
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtcomb_1.0.7-1.ca2004.1_all.deb
Size: 349596
MD5sum: a2decc46a51b632524ecb29f7ffbb356
SHA1: b2220a922765ed0fedb14f4efca59f403286ee8a
SHA256: 1f7ea0b18fe9d33f2eb5594d5fe172e4cf6b0e67f905279fd1b822bf2021a5f1
SHA512: 0c84a8fae19069b5ade82ce6ffdcc4446974194de8921fb21dbefdebcf9188234a931d3b5d30472eb2070b5a47e9eb724d0a49985235d191905343a1dbb690a6
Homepage: https://cran.r-project.org/package=dtComb
Description: CRAN Package 'dtComb' (Statistical Combination of Diagnostic Tests)
 A system for combining two diagnostic tests using various approaches that
 include statistical and machine-learning-based methodologies.  These
 approaches are divided into four groups: linear combination methods,
 non-linear combination methods, mathematical operators, and machine learning
 algorithms. See the <https://biotools.erciyes.edu.tr/dtComb/> website for
 more information, documentation, and examples.

Package: r-cran-dtcompair
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-propcis, r-cran-gee, r-cran-ellipse, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-dtcompair_1.2.6-1.ca2004.1_all.deb
Size: 190392
MD5sum: 8e2ea1d5de8fc9b80f07c91249b12c89
SHA1: a869b1eb4d73741840ad52d98a06b192c7cbc9e6
SHA256: 47f65a14eb39e3b5ca1cb7cca7c1b5408bcb3b6ec91e9d5f83b27b70a895e22d
SHA512: b7c50c25cfd24d7c770ee4579c58d55e5dda4e02e0e0ced05881c1341c1e96d095c165d6462a6b017ba9d0288163ab1ec3cb941c3d76d054954e666c03ce6e13
Homepage: https://cran.r-project.org/package=DTComPair
Description: CRAN Package 'DTComPair' (Comparison of Binary Diagnostic Tests in a Paired Study Design)
 Comparison of the accuracy of two binary diagnostic tests in a "paired"
 study design, i.e. when each test is applied to each subject in the study.

Package: r-cran-dtda.ni
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dtda.ni_1.0.1-1.ca2004.1_all.deb
Size: 39800
MD5sum: 9e13a5ce348288f277bd6ba35424a50c
SHA1: ddbdd7918f3cf8eb3d1213c8a3921da720b34f0e
SHA256: 67bda23461d7e5c45d7d0aef7fbe818fee3fa1dc39dff409e50908d6abb86c7e
SHA512: 3ab90abe319313f714a7543aa0b8bc67b17425457d80800724956f15fbfc33d4a8dc349bf33881b3ea9616b2eb6cfb21bc49d9751f84cb5c8b390c1c68468adb
Homepage: https://cran.r-project.org/package=DTDA.ni
Description: CRAN Package 'DTDA.ni' (Doubly Truncated Data Analysis, Non Iterative)
 Non-iterative estimator for the cumulative distribution of a doubly
 truncated variable. de Uña-Álvarez J. (2018)
 <doi:10.1007/978-3-319-73848-2_37>.

Package: r-cran-dtda
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-dtda_3.0.1-1.ca2004.1_all.deb
Size: 288828
MD5sum: 18aafca427085efc54aac00e2e1fc4ed
SHA1: c03e5068e0a4f0b12dc41267f3ea2344966485dd
SHA256: 1fe8485992476d02d6f8f4263fbc8bdd980ecdeb4276898991de055633f12a90
SHA512: 44f41e33ff367f74d82337156776ec1882e95138c8bad0925c757f815a407f1f87af1d1b6dbb32af8b7509a04da729e3b64b5f36cd45e9007c0872a523a4ae61
Homepage: https://cran.r-project.org/package=DTDA
Description: CRAN Package 'DTDA' (Doubly Truncated Data Analysis)
 Implementation of different algorithms for analyzing randomly truncated
 data, one-sided and two-sided (i.e. doubly) truncated data. It serves to
 compute empirical cumulative distributions and also kernel density and
 hazard functions using different bandwidth selectors.  Several real data
 sets are included.

Package: r-cran-dtebop2
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 575
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-truncdist, r-cran-doparallel, r-cran-foreach, r-cran-invgamma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survrm2adapt, r-cran-ggplot2, r-cran-reconstructkm, r-cran-survival, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-dtebop2_1.0.3-1.ca2004.1_all.deb
Size: 240972
MD5sum: 0ca8865233d0a2d914f559dcf0ae7d2f
SHA1: 5293638e282f3608a66340a8d7b5704376eb7bd5
SHA256: d680544e72bae5c7d75b0f688d177d97a6c3f3efc59c46f85878bb143002297a
SHA512: e110a88dffe8963c5fbae61f75d2ac7f9169b23c4fb612ef9c03985432865db0ab58a6e7521974bb67f7a1f64682ccb57f5e64e1be7c880bb7e9676d4b9f8f0a
Homepage: https://cran.r-project.org/package=DTEBOP2
Description: CRAN Package 'DTEBOP2' (Bayesian Optimal Phase II Randomized Clinical Trial Design withDelayed Outcomes)
 Implements a Bayesian Optimal Phase II design (DTE-BOP2) for trials with
 delayed treatment effects, particularly relevant to immunotherapy studies
 where treatment benefits may emerge after a delay. The method builds upon
 the BOP2 framework and incorporates uncertainty in the delay timepoint
 through a truncated gamma prior, informed by expert knowledge or default
 settings. Supports two-arm trial designs with functionality for sample size
 determination, interim and final analyses, and comprehensive simulation
 under various delay and design scenarios. Ensures rigorous type I and II
 error control while improving trial efficiency and power when the delay
 effect is present. A manuscript describing the methodology is under
 development and will be formally referenced upon publication.

Package: r-cran-dtgiw
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtgiw_1.0.0-1.ca2004.1_all.deb
Size: 24496
MD5sum: bb5df62907365097bf76f2e91e39cbbe
SHA1: 0a80c09802e5880b2e96960d168e42e7dcd25c0a
SHA256: ba5feaa7e19309cfd19b2c2e56895a90368f7f5f6f0441d3399247424697782b
SHA512: 43b4cdd32c2f43e4208ba6e78984437058d7a5108d96622f01ad60a8b056a120c22a4816e1e31e8d3f4a104554e0d4ff8aba572a761bd4a943d582421408c4fb
Homepage: https://cran.r-project.org/package=dtgiw
Description: CRAN Package 'dtgiw' (Discrete Transmuted Generalized Inverse Weibull Distribution)
 The Discrete Transmuted Generalized Inverse Weibull (DTGIW) distribution is
 a new distribution for count data analysis. The DTGIW is discrete
 distribution based on Atchanut and Sirinapa (2021). <DOI:
 10.14456/sjst-psu.2021.149>.

Package: r-cran-dtk
Architecture: all
Version: 3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dtk_3.5-1.ca2004.1_all.deb
Size: 26760
MD5sum: b992c6aa9a1c7c82fd080177940b6d3e
SHA1: cdbdcb4e0865af82f8f794128eb84d91ed60ebf9
SHA256: 4e064a8927975d71ba9546f5758e34fa3a14c8d83ead60d53e27b78b54d36d48
SHA512: f3ffa6aacd66004a3add730890d0dae54b71e0acb4a0bc94deb876e146775e72881819ceef476a7a76a172f501126ce57fbc0c26c88f0f067a7135b189ac6b19
Homepage: https://cran.r-project.org/package=DTK
Description: CRAN Package 'DTK' (Dunnett-Tukey-Kramer Pairwise Multiple Comparison Test Adjustedfor Unequal Variances and Unequal Sample Sizes)
 This package was created to analyze multi-level one-way experimental
 designs. It is designed to handle vectorized observation and factor data
 where there are unequal sample sizes and population variance homogeneity can
 not be assumed.  To conduct the Dunnett modified Tukey-Kramer test (a.k.a.
 the T3 Procedure), create two vectors: one for your observations and one for
 the factor level of each observation. The function, gl.unequal, provides a
 means to more conveniently produce a factor vector with unequal sample
 sizes. Next, use the DTK.test function to conduct the test and save the
 output as an object to input into the DTK.plot function, which produces a
 confidence interval plot for each of the pairwise comparisons.  Lastly, the
 function TK.test conducts the original Tukey-Kramer test.

Package: r-cran-dtlcor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-ggplot2, r-cran-survival, r-cran-stringr, r-cran-dt, r-cran-gsdesign, r-cran-coin, r-cran-dplyr, r-cran-tidyr, r-cran-mvtnorm, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-dtlcor_0.1.0-1.ca2004.1_all.deb
Size: 139900
MD5sum: d557d82994f2faec3ff03c991d80d93c
SHA1: 90aa020c85feb8f8913bd4e55f4f92b29b2259af
SHA256: 63cabf5a72bbe2d3f2b6cd239024498272aae6a7c45f6357d2ff4bcf08b431da
SHA512: 7a90ee742384c6227bd67d86741bdf285abe179536ef145d0fcc9b6a85896d466cf1a9148c43d859baa80dd689d688c841f19693a92de3378c0b54ecfc537c2b
Homepage: https://cran.r-project.org/package=dtlcor
Description: CRAN Package 'dtlcor' (Multiplicity Control on Drop-the-Losers Designs)
 A tool to calculate the correlation boundary for the correlation between the
 response rate and the log-rank test statistic for the binary surrogate
 endpoint and the time-to-event primary endpoint, as well as conduct
 simulation studies to obtain design operating characteristics of the
 drop-the-losers design.

Package: r-cran-dtmapi
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtmapi_0.0.3-1.ca2004.1_all.deb
Size: 30628
MD5sum: 7ecbee769adb33f240f23490ffb95f52
SHA1: 1fd98b31914acbc6bab92419772b040c1a758421
SHA256: 66d91662aba8dfc353d6c7a1d0cbaee4453b1695f45a4ada6be70b4c1ab3961a
SHA512: 9f6c6592df1179dfa21d21fc78df7eaec9b90bff54969543f7dfbbd1fd420430d17d59b1aaf669ca5298e7ece56a1b28f69458b76b348b35cbcb6acd087fca5e
Homepage: https://cran.r-project.org/package=dtmapi
Description: CRAN Package 'dtmapi' (Fetching Data from the 'Displacement Tracking Matrix')
 Allows humanitarian community, academia, media, government, and
 non-governmental organizations to utilize the data collected by the
 'Displacement Tracking Matrix' (<https://dtm.iom.int>), a unit in the
 International Organization for Migration. This also provides non-sensitive
 Internally Displaced Person figures, aggregated at the country, Admin 1
 (states, provinces, or equivalent), and Admin 2 (smaller administrative
 areas) levels.

Package: r-cran-dtmcpack
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dtmcpack_0.1-3-1.ca2004.1_all.deb
Size: 26020
MD5sum: 691ea03c9958e0d84fde94a7bdfb36c1
SHA1: b064d23516eab6337c41a608b0e43556a8a51006
SHA256: 61a854ec50f15c4809c1ec573374b7a7fac5419fbdb6328ec624d5fcc1087a15
SHA512: 0c8f1fbba29687d3e3dcd50b674cc0c5adbedf0c644d45cb8d9a89d21bec3c892c65bf9fa7afcd055a682be8e0db46d1e3d3322a0e358591dc706da7f8c6b36d
Homepage: https://cran.r-project.org/package=DTMCPack
Description: CRAN Package 'DTMCPack' (Suite of Functions Related to Discrete-Time Discrete-StateMarkov Chains)
 A series of functions which aid in both simulating and determining the
 properties of finite, discrete-time, discrete state markov chains.  Two
 functions (DTMC, MultDTMC) produce n iterations of a Markov Chain(s) based
 on transition probabilities and an initial distribution.  The function
 FPTime determines the first passage time into each state.  The function
 statdistr determines the stationary distribution of a Markov Chain.

Package: r-cran-dtp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-gtools, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-dtp_0.1.0-1.ca2004.1_all.deb
Size: 54860
MD5sum: 939fb15b9a0fc43f4f1d701e04ef203d
SHA1: 459cf96af19ae5e752dc478094b4215d110a62c2
SHA256: a7352a93e4d5cd8bce5e5bcecc4a6530ff04031185265815749528929576bd41
SHA512: e785b95cb888cbe4cde90ae14350ec4e3efbc9b97a9ed27d4ef9477adf7597a8335a0f4aa2e60262658b48961256740e39ca09df78a55b5cbf46c9ce870e20b1
Homepage: https://cran.r-project.org/package=dtp
Description: CRAN Package 'dtp' (Dynamic Panel Threshold Model)
 Compute the dynamic threshold panel model suggested by (Stephanie Kremer,
 Alexander Bick and Dieter Nautz (2013) <doi:10.1007/s00181-012-0553-9>) in
 which they extended the (Hansen (1999) <doi: 10.1016/S0304-4076(99)00025-1>)
 original static panel threshold estimation and the Caner and (Hansen (2004)
 <doi:10.1017/S0266466604205011>) cross-sectional instrumental variable
 threshold model, where generalized methods of moments type estimators are
 used.

Package: r-cran-dtpcrm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagram, r-cran-dfcrm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtpcrm_0.1.1-1.ca2004.1_all.deb
Size: 178548
MD5sum: ed7a279918f5b4ef773dd6ede053bb7b
SHA1: 93f2a94886b343554f6462c5f67de5422c6b8d48
SHA256: 5163abb98ace30c12bad32234543571d2770fb308ccdf4a21e21f1b04af6bf02
SHA512: 8adc6d0ddd29a205bfb614e17c4202ffd700382e3743903ebb75b4a01ac7ddafa5c472457601263b26d3b43bb9cd03a6a6dd70837ad3120e6409961d915e3988
Homepage: https://cran.r-project.org/package=dtpcrm
Description: CRAN Package 'dtpcrm' (Dose Transition Pathways for Continual Reassessment Method)
 Provides the dose transition pathways (DTP) to project in advance the doses
 recommended by a model-based design for subsequent patients (stay, escalate,
 deescalate or stop early) using all the accumulated toxicity information;
 See Yap et al (2017) <doi: 10.1158/1078-0432.CCR-17-0582>. DTP can be used
 as a design and an operational tool and can be displayed as a table or flow
 diagram. The 'dtpcrm' package also provides the modified continual
 reassessment method (CRM) and time-to-event CRM (TITE-CRM) with added
 practical considerations to allow stopping early when there is sufficient
 evidence that the lowest dose is too toxic and/or there is a sufficient
 number of patients dosed at the maximum tolerated dose.

Package: r-cran-dtplyr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-bench, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-dtplyr_1.3.1-1.ca2004.1_all.deb
Size: 348072
MD5sum: afa81c8b87a23dfa8bf515580e9aae64
SHA1: bd5502298bd9c441d78c4480ffafe7fa0bdddedb
SHA256: 5de8812565d9ec3ca4ac0cf9ecdd7bf27d4f1b6f9d11c93d426871be2a9802f4
SHA512: 89a56def0fe2bfb0dda44c7f91becdcf4ee6dd6f43196b3a099c54ff24803b269a5bb4e9c730cc8edb895338f1c3581ca0dc108f838ba095d79575dae741c66a
Homepage: https://cran.r-project.org/package=dtplyr
Description: CRAN Package 'dtplyr' (Data Table Back-End for 'dplyr')
 Provides a data.table backend for 'dplyr'. The goal of 'dtplyr' is to allow
 you to write 'dplyr' code that is automatically translated to the
 equivalent, but usually much faster, data.table code.

Package: r-cran-dtr
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2, r-cran-aod
Filename: pool/dists/focal/main/r-cran-dtr_1.7-1.ca2004.1_all.deb
Size: 273844
MD5sum: 1fcf1ad7539f3d26a5949227ec5dafdd
SHA1: 0f6875aca558c2f2657b6db3ee8c6456178145ad
SHA256: 6f56d5bd0c4d5c855e0907eb2fd592843ab3d30c178f129d599c51feb228d221
SHA512: db2cd0f1176e229710ba84bad9acbbb4595870d1d9ab24305af4a4f9b013ad360fb10e44d09fb501ed187ab4a31e4077ef74de82104b5f09ba7b088916b505ec
Homepage: https://cran.r-project.org/package=DTR
Description: CRAN Package 'DTR' (Estimation and Comparison of Dynamic Treatment Regimes)
 Estimation and comparison of survival distributions of dynamic treatment
 regimes (DTRs) from sequentially randomized clinical trials.

Package: r-cran-dtrackr
Architecture: all
Version: 0.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3536
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-htmltools, r-cran-magrittr, r-cran-rlang, r-cran-rsvg, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-v8, r-cran-fs, r-cran-purrr, r-cran-base64enc, r-cran-pdftools, r-cran-png, r-cran-lifecycle
Suggests: r-cran-spelling, r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyselect, r-cran-devtools, r-cran-testthat, r-cran-rstudioapi, r-cran-survival, r-cran-ggplot2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dtrackr_0.4.6-1.ca2004.1_all.deb
Size: 1156792
MD5sum: caebac1d99940f86ad0be12547c70fee
SHA1: 3d513644071cfbe7dcdead534d388109afa1d664
SHA256: fe708e7a9c764a297ec6022a08c0e1f76950c60ec1657f1eed3cd1d0a09990c4
SHA512: 70ce572fcd3343012353047495dfa082e0f81f8f853eb5e570d55ad89f40ee262928482073f1e2763f4913d76946a98b338874cb4b017337b820bd945731be7a
Homepage: https://cran.r-project.org/package=dtrackr
Description: CRAN Package 'dtrackr' (Track your Data Pipelines)
 Track and document 'dplyr' data pipelines. As you filter, mutate, and join
 your way through a data set, 'dtrackr' seamlessly keeps track of your data
 flow and makes publication ready documentation of a data pipeline simple.

Package: r-cran-dtree
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-party, r-cran-evtree, r-cran-partykit, r-cran-caret
Suggests: r-cran-randomforest, r-cran-tree, r-cran-mass, r-cran-islr, r-cran-matrixstats, r-cran-plyr, r-cran-rpart.utils, r-cran-stringr, r-cran-proc
Filename: pool/dists/focal/main/r-cran-dtree_0.4.2-1.ca2004.1_all.deb
Size: 98624
MD5sum: e3607680e4fdb0614e635e42ab3d27c8
SHA1: 736b2a8a1ec85415f6379a20caeb3245c50bbdd0
SHA256: 572a9570718d01d1de759868cabaf9881579be66291fc8bf0931595deeadef94
SHA512: 8f74f3a91ddb48bfcf6d0727fee24acbe1c5813d56e3b9dd536b0405dec648841334704751e665097565bea613399cdb3c0d361356d35bf9e79bad935879f249
Homepage: https://cran.r-project.org/package=dtree
Description: CRAN Package 'dtree' (Decision Trees)
 Combines various decision tree algorithms, plus both linear regression and
 ensemble methods into one package.  Allows for the use of both continuous
 and categorical outcomes.  An optional feature is to quantify the
 (in)stability to the decision tree methods, indicating when results can be
 trusted and when ensemble methods may be preferential.

Package: r-cran-dtreg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-r6, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtreg_1.1.1-1.ca2004.1_all.deb
Size: 140736
MD5sum: 46129b8ea849cd74d7fab4200e245063
SHA1: cf57031c1cf197c1eb6fae47a479b0ae35a32c94
SHA256: 867fdd6693db2e325d390c06af8eef2f55f44926527a232cb0157c8a00972a06
SHA512: 35733c5660aeebaea253176fd1baeb4fdc878877b321113b123ded38eee41db5d56fcbfe72eb12cc524ffd2167d1306170554270ef892c83511b6cff2ff15b35
Homepage: https://cran.r-project.org/package=dtreg
Description: CRAN Package 'dtreg' (Interact with Data Type Registries and Create Machine-ReadableData)
 You can load a schema from a DTR (data type registry) as an R object. Use
 this schema to write your data in JSON-LD (JavaScript Object Notation for
 Linked Data) format to make it machine readable.

Package: r-cran-dtrlearn2
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab, r-cran-mass, r-cran-matrix, r-cran-foreach, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-dtrlearn2_1.1-1.ca2004.1_all.deb
Size: 124988
MD5sum: 8698bc925d7e29b53466fd776b0ffeed
SHA1: 0f30259b50a957f4375ede5bdb6a255345523ac9
SHA256: 964ce3af6fd723e6ad6c369820f04a0a20bb986f94f3f4f07018f55d07a205bc
SHA512: bae8b228d55f3878058a069d31bd5482bb56f591991c965bc1ddd3ce4bd21aa569b6c40d147503d6e8c576d8b8246db62ce3ba75f4835a25d348caf3326228db
Homepage: https://cran.r-project.org/package=DTRlearn2
Description: CRAN Package 'DTRlearn2' (Statistical Learning Methods for Optimizing Dynamic TreatmentRegimes)
 We provide a comprehensive software to estimate general K-stage DTRs from
 SMARTs with Q-learning and a variety of outcome-weighted learning methods.
 Penalizations are allowed for variable selection and model regularization.
 With the outcome-weighted learning scheme, different loss functions - SVM
 hinge loss, SVM ramp loss, binomial deviance loss, and L2 loss - are adopted
 to solve the weighted classification problem at each stage; augmentation in
 the outcomes is allowed to improve efficiency. The estimated DTR can be
 easily applied to a new sample for individualized treatment recommendations
 or DTR evaluation.

Package: r-cran-dtrreg
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nnet, r-cran-r6
Filename: pool/dists/focal/main/r-cran-dtrreg_2.3-1.ca2004.1_all.deb
Size: 413384
MD5sum: ac56ef7f53d1371f65dbf5e393875f34
SHA1: 7239540e5cbc23db904625e4a0bbb087947f17f6
SHA256: befba68bd29df1c1f9cb381ed08d48ebe2678b2e8b98b930160eec589b243070
SHA512: 54211b2b975e8538dd4f9071114c756e65c1e6aed6c9736d740f73dbed17788a59122a8e9c3ced36a100082c71ab436a369082c5c97770c9ed6baa14b419d9e9
Homepage: https://cran.r-project.org/package=DTRreg
Description: CRAN Package 'DTRreg' (DTR Estimation and Inference via G-Estimation, Dynamic WOLS,Q-Learning, and Dynamic Weighted Survival Modeling (DWSurv))
 Dynamic treatment regime estimation and inference via G-estimation, dynamic
 weighted ordinary least squares (dWOLS) and Q-learning. Inference via
 bootstrap and recursive sandwich estimation. Estimation and inference for
 survival outcomes via Dynamic Weighted Survival Modeling (DWSurv).
 Extension to continuous treatment variables. Wallace et al. (2017)
 <DOI:10.18637/jss.v080.i02>; Simoneau et al. (2020)
 <DOI:10.1080/00949655.2020.1793341>.

Package: r-cran-dts
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-actuar, r-cran-expint
Filename: pool/dists/focal/main/r-cran-dts_0.1.1-1.ca2004.1_all.deb
Size: 97732
MD5sum: 8e326f5b9110c465b0f82b2dc3931408
SHA1: cdc3d65e814e7d82df76fc9c4cf88f22e208ff55
SHA256: fd9933956558d22585ba61c98c846a7f7dadf971ced1d9761b8616eb0c5cce1a
SHA512: cb327d7cdca5b2d848261aa64736a5fa2a43c645fab8e9ee0e3fda8b12c9b5dec4c56b7b712361ab6a70f770e1f514cf7ae813a27f1ed3c318dfcf809cac2172
Homepage: https://cran.r-project.org/package=DTS
Description: CRAN Package 'DTS' (Discrete Tempered Stable Distributions)
 Methods for evaluating the probability mass function, cumulative
 distribution function, and generating random samples from discrete tempered
 stable distributions. For more details see Grabchak (2021)
 <doi:10.1007/s11009-021-09904-3>.

Package: r-cran-dtsea
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-bioc-fgsea, r-cran-igraph, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-bioc-biocparallel, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dtsea_0.0.3-1.ca2004.1_all.deb
Size: 350892
MD5sum: 33abc4e695f558bad005df41c23021b6
SHA1: c65bccf6f93ecae3593ea4529cb09be04b5d8a10
SHA256: 7cb0f4c1c80c592ff71cc1989eed3b7c03246be0bd88ca22fa5b09f86b08a8ae
SHA512: 7432367b84d7ac3bc5f0c8da9ade18bb372b8fa796fefbcbfa574d775fee06f81ec0dc858b9f91628bde9056f8e4b1ce3ce4bfe01dace4aa81d32ab1eec827ad
Homepage: https://cran.r-project.org/package=DTSEA
Description: CRAN Package 'DTSEA' (Drug Target Set Enrichment Analysis)
 It is a novel tool used to identify the candidate drugs against a particular
 disease based on the drug target set enrichment analysis. It assumes the
 most effective drugs are those with a closer affinity in the protein-protein
 interaction network to the specified disease. (See Gómez-Carballa et al.
 (2022) <doi: 10.1016/j.envres.2022.112890> and Feng et al. (2022) <doi:
 10.7150/ijms.67815> for disease expression profiles; see Wishart et al.
 (2018) <doi: 10.1093/nar/gkx1037> and Gaulton et al. (2017) <doi:
 10.1093/nar/gkw1074> for drug target information; see Kanehisa et al. (2021)
 <doi: 10.1093/nar/gkaa970> for the details of KEGG database.)

Package: r-cran-dtsg
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1760
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-r6, r-cran-timechange
Suggests: r-cran-dygraphs, r-cran-fasttime, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rcppcctz, r-cran-rmarkdown, r-cran-runner, r-cran-tinytest, r-cran-units
Filename: pool/dists/focal/main/r-cran-dtsg_2.0.0-1.ca2004.1_all.deb
Size: 368016
MD5sum: 6f73b9ad21b6d07b4af4c6f5ba42581a
SHA1: e157be78506f12554a5375756ae2c70e6b44e30b
SHA256: 6bebc311d59df24f08b56ec0d80300173794ec79b1d103c22d79bc8dd0e09a15
SHA512: 1210542c85314e7cfa34696cd9041359536ad3be32fe853a922bfe71c15feec993530986c386ff038b4169c76d8a97f0cd80ffdce2b5d507de0835aebf3ac7e3
Homepage: https://cran.r-project.org/package=DTSg
Description: CRAN Package 'DTSg' (A Class for Working with Time Series Data Based on 'data.table'and 'R6' with Largely Optional Reference Semantics)
 Basic time series functionalities such as listing of missing values,
 application of arbitrary aggregation as well as rolling (asymmetric) window
 functions and automatic detection of periodicity. As it is mainly based on
 'data.table', it is fast and (in combination with the 'R6' package) offers
 reference semantics. In addition to its native R6 interface, it provides an
 S3 interface for those who prefer the latter. Finally yet importantly, its
 functional approach allows for incorporating functionalities from many other
 packages.

Package: r-cran-dtsr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvdalab, r-cran-dmwr2, r-cran-cluster, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dtsr_0.2.0-1.ca2004.1_all.deb
Size: 1309264
MD5sum: cb99ac71a4fa3340381399b1d9d9c633
SHA1: d56ca01c585217ef2ae843d302c341c4dc7f6a82
SHA256: 084568a9ccbeb7b89d0d23de2b63f147953a5ea12795c3361ac05d6b430d0dfe
SHA512: a080e140fdafd56dc9a0509ec7e55b2709658888d939e594f0e718bbf47ebcd74807a2aaec3025aed44d4beea2dba18346a78fc3c5849b4cc6d0ea2ed0254352
Homepage: https://cran.r-project.org/package=DTSR
Description: CRAN Package 'DTSR' (Distributed Trimmed Scores Regression for Handling Missing Data)
 Provides functions for handling missing data using Distributed Trimmed
 Scores Regression and other imputation methods. It includes facilities for
 data imputation, evaluation metrics, and clustering analysis. It is designed
 to work in distributed computing environments to handle large datasets
 efficiently. The philosophy of the package is described in Guo G. (2024)
 <doi:10.1080/03610918.2022.2091779>.

Package: r-cran-dtt
Architecture: all
Version: 0.1-2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dtt_0.1-2.1-1.ca2004.1_all.deb
Size: 20700
MD5sum: e48021e97c7443b2e094f53cc0e5dded
SHA1: 9fd413a76a54ce85acf3ede90ab8fc8ad6bda009
SHA256: 54e75ed70439e183be832ba43209d563476c729077ba732ce458e784af875227
SHA512: f2c61bf58086add2e99f54a0314c9aa5fe1ebb135a4b8d3d7e76c15a3ed36dbc251d5dbfeb7652936238eac263d372c6a7e4361cc917a0660a6aa98c01a70dde
Homepage: https://cran.r-project.org/package=dtt
Description: CRAN Package 'dtt' (Discrete Trigonometric Transforms)
 Provides functions for 1D and 2D Discrete Cosine Transform (DCT), Discrete
 Sine Transform (DST) and Discrete Hartley Transform (DHT).

Package: r-cran-dttr2
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-hms, r-cran-lifecycle
Suggests: r-cran-rlang, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dttr2_0.5.2-1.ca2004.1_all.deb
Size: 244416
MD5sum: 4c7a63b7364b76e0dfa412eb5be1f352
SHA1: 3a7a63410d127cfa068fee8261258bc213ed060f
SHA256: e64f5a9933e19472be23466ae0c8a8caa1535ca33b8f397e1ba93d69caaf5cc7
SHA512: ea900e2089d42d2c83fd56018c42d11f97e68ab91ffc0e3681d59a0ad5d941828a1d72fb90b5ad64121abb40c0e9591a144e8a68cecd520508fe193fc758cf90
Homepage: https://cran.r-project.org/package=dttr2
Description: CRAN Package 'dttr2' (Manipulate Date, POSIXct and hms Vectors)
 Manipulates date ('Date'), date time ('POSIXct') and time ('hms') vectors.
 Date/times are considered discrete and are floored whenever encountered.
 Times are wrapped and time zones are maintained unless explicitly altered by
 the user.

Package: r-cran-dtwbi
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dtw, r-cran-rlist, r-cran-e1071, r-cran-entropy, r-cran-lsa
Filename: pool/dists/focal/main/r-cran-dtwbi_1.1-1.ca2004.1_all.deb
Size: 75068
MD5sum: 02685af89b38aae228832f4b49d76c8f
SHA1: 6ae01eec23505711460288b2925d06654b13d612
SHA256: 77544797cfa74c00f577486b3f9e9894f2c6a32ee22a7d634eeee7f5a85530ba
SHA512: 6c225ce27c17a9a9df1ea097401c1fb669bb31c59f78a883bf8d2d25f4ab87f87a41800960245706d88be27840ee55d2ecdfffad8b09ce1989854cc321f51a19
Homepage: https://cran.r-project.org/package=DTWBI
Description: CRAN Package 'DTWBI' (Imputation of Time Series Based on Dynamic Time Warping)
 Functions to impute large gaps within time series based on Dynamic Time
 Warping methods. It contains all required functions to create large missing
 consecutive values within time series and to fill them, according to the
 paper Phan et al. (2017), <DOI:10.1016/j.patrec.2017.08.019>. Performance
 criteria are added to compare similarity between two signals (query and
 reference).

Package: r-cran-dtwrappers2
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dtwrappers
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-devtools, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtwrappers2_0.0.3-1.ca2004.1_all.deb
Size: 129000
MD5sum: 60eaf4fff20eb8210f82df35785bdb37
SHA1: df890edea672cbbc0062719f6f50202ea4460433
SHA256: a929389798edea90a87605b24ad96e1b04ba3ebd6956ea32f9712ca35a9d3433
SHA512: cf3aca584147fac23bcb091efff10e31a2407cad825d451997376ff3f377aa6d6380e35628a79e7282b398c8b421907dbfd30517a2ef3a54a17aee343d082909
Homepage: https://cran.r-project.org/package=DTwrappers2
Description: CRAN Package 'DTwrappers2' (Extensions of 'DTwrappers')
 Offers functionality which provides methods for data analyses and cleaning
 that can be flexibly applied across multiple variables and in groups. These
 include cleaning accidental text, contingent calculations, counting missing
 data, and building summarizations of the data.

Package: r-cran-dtwrappers
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtwrappers_0.0.2-1.ca2004.1_all.deb
Size: 87564
MD5sum: 03b0dd246667459b8aa3e3a405e18534
SHA1: 0e6f83430712ebeecce14999e33b9e207eb0c178
SHA256: 6932552f1a9a3271a87f50fcc064aeaa03a7bd5bd4ea6ed2ed6c3114adfcb216
SHA512: 0f8f9f6cb3bc74f6730c65a469317124276c04e66d264650c6406c0ee476a9213e91582044bbb8100ffa3382d4fae31d1101050090340f930877d548e746479c
Homepage: https://cran.r-project.org/package=DTwrappers
Description: CRAN Package 'DTwrappers' (Simplified Data Analysis with Wrapper Functions for the'Data.Table' Package)
 Provides functionality for users who are learning R or the techniques of
 data analysis.  Written as a collection of wrapper functions, the
 'DTwrapper' package facilitates many core operations of data processing.
 This is achieved with relatively few requirements about the order of the
 processing steps or knowledge of specialized syntax.  'DTwrappers' creates
 coding results along with translations to data.table's code.  This enables
 users to benefit from the speed and efficiency of data.table's calculations.
 Furthermore, the package also provides the translated code for educational
 purposes so that users can review working examples of coding syntax and
 calculations.

Package: r-cran-dtwsat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2006
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-twdtw, r-cran-sf, r-cran-stars, r-cran-ggplot2, r-cran-mgcv, r-cran-tidyr, r-cran-proxy
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dtwsat_1.0.0-1.ca2004.1_all.deb
Size: 1043212
MD5sum: 93545f34b42c43eb1849e66ae1cd6916
SHA1: 2b17ac1537edd6ea007c694c159667cb23b6b317
SHA256: 756be40379c37b1bed262dab226e89d200449c7791e4ff7f2f9be4f6d2d217d8
SHA512: 11d16b0fc64fa5676f20ec52b3b5dbf807fa54c0a378f73f0882130ee0a6060a9b215818b9b10978a29f0a3d410dfde5973dcd54477d299bc50277350837563d
Homepage: https://cran.r-project.org/package=dtwSat
Description: CRAN Package 'dtwSat' (Time-Weighted Dynamic Time Warping for Satellite Image TimeSeries Analysis)
 Provides a robust approach to land use mapping using multi-dimensional
 (multi-band) satellite image time series. By leveraging the Time-Weighted
 Dynamic Time Warping (TWDTW) distance metric in tandem with a 1
 Nearest-Neighbor (1-NN) Classifier, this package offers functions to produce
 land use maps based on distinct seasonality patterns, commonly observed in
 the phenological cycles of vegetation. The approach is described in Maus et
 al. (2016) <doi:10.1109/JSTARS.2016.2517118> and Maus et al. (2019)
 <doi:10.18637/jss.v088.i05>.  A primary advantage of TWDTW is its capability
 to handle irregularly sampled and noisy time series, while also requiring
 minimal training sets. The package includes tools for training the
 1-NN-TWDTW model, visualizing temporal patterns, producing land use maps,
 and visualizing the results.

Package: r-cran-dtwumi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dtw, r-cran-rlist, r-cran-e1071, r-cran-entropy, r-cran-lsa, r-cran-dtwbi
Filename: pool/dists/focal/main/r-cran-dtwumi_1.0-1.ca2004.1_all.deb
Size: 72100
MD5sum: afa9f0479ce84004d084a0d0ee19773a
SHA1: fb3e521e336545bf9a5ecfdb5a9d68e499fd7bbd
SHA256: 694e348b4de686e51458aacedf82675f03e468c630f026a509b21cdbeac987cd
SHA512: 43342c99f7d1b15c9696fca3462877c816dc75dd780d7358e75d2f3761622a990c82333295f3762febdb8a069b634f898191f3ee0b308f0399a24bf4c887ef58
Homepage: https://cran.r-project.org/package=DTWUMI
Description: CRAN Package 'DTWUMI' (Imputation of Multivariate Time Series Based on Dynamic TimeWarping)
 Functions to impute large gaps within multivariate time series based on
 Dynamic Time Warping methods. Gaps of size 1 or inferior to a defined
 threshold are filled using simple average and weighted moving average
 respectively. Larger gaps are filled using the methodology provided by Phan
 et al. (2017) <DOI:10.1109/MLSP.2017.8168165>: a query is built immediately
 before/after a gap and a moving window is used to find the most similar
 sequence to this query using Dynamic Time Warping. To lower the calculation
 time, similar sequences are pre-selected using global features. Contrary to
 the univariate method (package 'DTWBI'), these global features are not
 estimated over the sequence containing the gap(s), but a feature matrix is
 built to summarize general features of the whole multivariate signal. Once
 the most similar sequence to the query has been identified, the adjacent
 sequence to this window is used to fill the gap considered. This function
 can deal with multiple gaps over all the sequences componing the input
 multivariate signal. However, for better consistency, large gaps at the same
 location over all sequences should be avoided.

Package: r-cran-dual.spls
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2593
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pdist
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dual.spls_0.1.4-1.ca2004.1_all.deb
Size: 2613684
MD5sum: c2fb23fbbc80de3baa43b5e1425b2c57
SHA1: a3e532708fef229dcaf50ec71a05c78d439c8b6d
SHA256: 257e3ca2f8602c077be5f8376fa52921adb9144a9e22f69e83322afac4509ebd
SHA512: c8fedf9368f6545394bd640e01207d887d3f51f9e117e9ccf31d41d69320367d2223f59c7d5cfe535c30eb593b5afd915b51fb27baedc8ab5108b3fd82c73337
Homepage: https://cran.r-project.org/package=dual.spls
Description: CRAN Package 'dual.spls' (Dual Sparse Partial Least Squares Regression)
 Provides a series of functions for fitting a dual sparse partial least
 squares (Dual-SPLS) regression. These functions differ by the choice of the
 underlying norm.

Package: r-cran-dual
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dual_0.0.6-1.ca2004.1_all.deb
Size: 245556
MD5sum: 1714f4427256d46573ac39ec1952f394
SHA1: 32ff4dc5a5fbf74c5083de12c1acbde79fea0709
SHA256: 23b718034f1f01e356e731dc2d2d5b0aaebed5b28886bbb47b3926247f375145
SHA512: 184b9eea5cfa12f3251a8f93b1e90ac9b9c70f591b5cd0777d0b39b603db8e5f60bcb9c3d743bde21023bd5929d00df4b155c44c671bfbc1e688eafcc999fe00
Homepage: https://cran.r-project.org/package=dual
Description: CRAN Package 'dual' (Automatic Differentiation with Dual Numbers)
 Automatic differentiation is achieved by using dual numbers without
 providing hand-coded gradient functions. The output value of a mathematical
 function is returned with the values of its exact first derivative (or
 gradient). For more details see Baydin, Pearlmutter, Radul, and Siskind
 (2018) <https://jmlr.org/papers/volume18/17-468/17-468.pdf>.

Package: r-cran-dualscale
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-eba, r-cran-ff, r-cran-ggplot2, r-cran-ggrepel, r-cran-matrix, r-cran-matrixcalc, r-cran-rcolorbrewer, r-cran-glue
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-dualscale_1.0.0-1.ca2004.1_all.deb
Size: 137320
MD5sum: 77019f9811cfb7d4aa8415221d97fb74
SHA1: 87c8bbd8c5c6d9d3ec37e37a834de13acc63b984
SHA256: 1ccd6853836985e3377734b68d4b9a888f26318e11af7cd345b95c216c5aa2dd
SHA512: 3fc8024819e447f2270960bfed7878f7a2512ccde666a3bf60d7d82d405b52662fa7adacf21f9088aca9416180d8ea1881058f20c40d78b861a375cc2bc5ca8f
Homepage: https://cran.r-project.org/package=dualScale
Description: CRAN Package 'dualScale' (Dual Scaling Analysis of Data)
 Dual Scaling, developed by Professor Shizuhiko Nishisato (1994, ISBN:
 0-9691785-3-6), is a fundamental technique in multivariate analysis used for
 data scaling and correspondence analysis. Its utility lies in its ability to
 represent multidimensional data in a lower-dimensional space, making it
 easier to visualize and understand underlying patterns in complex data. This
 technique has been implemented to handle various types of data, including
 Contingency and Frequency data (CF), Multiple-Choice data (MC), Sorting data
 (SO), Paired-Comparison data (PC), and Rank-Order data (RO), providing users
 with a powerful tool to explore relationships between variables and
 observations in various fields, from sociology to ecology, enabling deeper
 and more efficient analysis of multivariate datasets.

Package: r-cran-duawranglr
Architecture: all
Version: 0.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-haven, r-cran-readxl, r-cran-readr, r-cran-digest, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-duawranglr_0.6.7-1.ca2004.1_all.deb
Size: 86400
MD5sum: 8da6258441607f695dad8d1bc4841328
SHA1: 8b770ba3dca7bb59ca2d697b6a6e0a6853f14afb
SHA256: 5c0d7f82783adb89c25dcf6a37d21ac7c4259b601a394b2a48931c018cdecf56
SHA512: d2eca75f88b27e4e3cc463cc2c5e300b34239d27d0a78c63f9036ea1ba1580b226c33bcec53a3297ff76a8de43c1e10315a68b7a7430e95c4f0a9b3b0793b7f4
Homepage: https://cran.r-project.org/package=duawranglr
Description: CRAN Package 'duawranglr' (Securely Wrangle Dataset According to Data Usage Agreement)
 Create shareable data sets from raw data files that contain protected
 elements. Relying on master crosswalk files that list restricted variables,
 package functions warn users about possible violations of data usage
 agreement and prevent writing protected elements.

Package: r-cran-dub
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dub_0.2.0-1.ca2004.1_all.deb
Size: 21360
MD5sum: ec0d0552989865590d4466ddeeb27cf7
SHA1: 9d66a2c69de3f9fdc84e06a7d0269012b14a93dc
SHA256: 8904ed8bc43a0ebb503f25af26ccc78ee5c7cc14a091c8b8e0470a1f5bdee4c1
SHA512: f4098732835f8861bdc28ae86eff0997c7dcaab41cf4c4121517617828a625b44ea487a7f81160dbc5568ebf1fd04ee075ee0be8f4425771ba9bbeaaa5c0a327
Homepage: https://cran.r-project.org/package=dub
Description: CRAN Package 'dub' (Unpacking Assignment for Lists via Pattern Matching)
 Provides an operator for assigning nested components of a list to names via
 a concise pattern matching syntax. This is especially convenient for
 assigning individual names to the multiple values that a function may return
 in the form of a list, and for extracting deeply nested list components.

Package: r-cran-dubstepr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-rann, r-cran-qlcmatrix, r-cran-seurat
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-hdf5r, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-dubstepr_1.2.0-1.ca2004.1_all.deb
Size: 2792756
MD5sum: 9af294c90037ec9cc4594dd5538eda14
SHA1: c2d85e83f765c3c57cda7152977a603bccd4936b
SHA256: 36312e7b966f5289cfae2c30eab98525a1e200c63dc67e51580fc2582024a16a
SHA512: 74cef5a819e440ab69c14351f1b40e1e8948cd0d8b8496c8121e5f5adbdcfd3f5d360c999360eaf2965374649b39911dec2505748ec511c3ed29fab6fb0c742c
Homepage: https://cran.r-project.org/package=DUBStepR
Description: CRAN Package 'DUBStepR' (Correlation-Based Feature Selection for Single-Cell RNASequencing Data)
 Determining the optimal set of feature genes to characterise cell types in
 single-cell RNA sequencing data using stepwise regression on gene-gene
 correlations. <doi:10.1101/2020.10.07.330563>.

Package: r-cran-duckdbfs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 915
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-duckdb, r-cran-fs, r-cran-glue
Suggests: r-cran-curl, r-cran-sf, r-cran-jsonlite, r-cran-spelling, r-cran-minioclient, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-duckdbfs_0.1.0-1.ca2004.1_all.deb
Size: 368092
MD5sum: 71b5f7f18375ac1f09a03a558631aa8f
SHA1: 5b6bded6bdbfa0451f3d3ab8c41b4ea098afb273
SHA256: 4bdeaa758e978463ef85913a4247fa84ce5720cd527ac6605e2d071c03534f85
SHA512: f2e6355aa9a524e03247144cc8b462dddc248d2fa8d885ae1e2e27066a6d465e0d5d0cc7b71a339ed9741295085987e5f9d2f501ea1a5443f9eb2ddb917cc846
Homepage: https://cran.r-project.org/package=duckdbfs
Description: CRAN Package 'duckdbfs' (High Performance Remote File System, Database and 'Geospatial'Access Using 'duckdb')
 Provides friendly wrappers for creating 'duckdb'-backed connections to
 tabular datasets ('csv', parquet, etc) on local or remote file systems.
 This mimics the behaviour of "open_dataset" in the 'arrow' package, but in
 addition to 'S3' file system also generalizes to any list of 'http' URLs.

Package: r-cran-duckduckr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-duckduckr_1.0.0-1.ca2004.1_all.deb
Size: 14460
MD5sum: 75d07f413303f6ff972fa08f9e8e7106
SHA1: 5a8e2d5eacd7c7763a196341299d9bdab54dc4fd
SHA256: b946329eb781fb3e2005e99bc77b7fd57353db17c10baf6fe11ac03186ea187c
SHA512: f972caa8c8903d6029bb8049d198246d60fc5497d382cf43e6b2f756ae94d3f8b1a63dc7a836808c99404b2bb60a265789bc711a257c8acb4c039a7f804250d4
Homepage: https://cran.r-project.org/package=duckduckr
Description: CRAN Package 'duckduckr' (Simple Client for the DuckDuckGo Instant Answer API)
 Programmatic access to the DuckDuckGo Instant Answer API
 <https://api.duckduckgo.com/api>.

Package: r-cran-duckplyr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1427
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-cli, r-cran-collections, r-cran-dbi, r-cran-duckdb, r-cran-glue, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-memoise, r-cran-pillar, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-arrow, r-cran-brio, r-cran-callr, r-cran-conflicted, r-cran-constructive, r-cran-curl, r-cran-dbplyr, r-cran-hms, r-cran-knitr, r-cran-lobstr, r-cran-lubridate, r-cran-nycflights13, r-cran-palmerpenguins, r-cran-prettycode, r-cran-purrr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-duckplyr_1.1.0-1.ca2004.1_all.deb
Size: 990848
MD5sum: b12ce9f21898bc6eab6075b4ca4a6219
SHA1: 169fec3b8ab0c26781b96bdbd0bf0d8ddb0b0a2d
SHA256: 99ff3d2112ef5b958b7c38761cc06c99eeee3a8772ea21eec0bfb123cedd5e09
SHA512: d46cc03c60464cc1b2ac34a859f35da040b3f0f51536bedcfd9bf6613c538298aa731f565cc11e3c4ccbd479fe85f07ee1f3e52066ce1eb2514204ef20a802c0
Homepage: https://cran.r-project.org/package=duckplyr
Description: CRAN Package 'duckplyr' (A 'DuckDB'-Backed Version of 'dplyr')
 A drop-in replacement for 'dplyr', powered by 'DuckDB' for performance.
 Offers convenient utilities for working with in-memory and
 larger-than-memory data while retaining full 'dplyr' compatibility.

Package: r-cran-duckspatial
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dbi, r-cran-glue, r-cran-sf
Suggests: r-cran-duckdb
Filename: pool/dists/focal/main/r-cran-duckspatial_0.2.0-1.ca2004.1_all.deb
Size: 531892
MD5sum: 21ab4a02f5e192a11e748ecc7929fe51
SHA1: 866d46f435ac48b0aea46ee821a36c18e5f8c756
SHA256: 223ea6e9b2e1592494de54dd9ab89ba05f3525132d5e4da5e7fc3010ff629edc
SHA512: d51dd57a7c030118b438609ce84204ac0dcb1d1ca56917d35d6c30b8b9b4e92fd67e329e5340f11b4ff849ba5bf7b69917538691e46bec1fd7e5b1d112b4bf69
Homepage: https://cran.r-project.org/package=duckspatial
Description: CRAN Package 'duckspatial' (R Interface to 'DuckDB' Database with Spatial Extension)
 Provides an interface between R and the 'DuckDB' (see <https://duckdb.org>)
 database with spatial extensions. It supports reading, writing, and
 performing some geometric operations.

Package: r-cran-duet
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-kza, r-cran-patchwork, r-cran-reshape2, r-cran-rjson, r-cran-rlang, r-cran-signal, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-duet_0.1.1-1.ca2004.1_all.deb
Size: 142156
MD5sum: 42d4d9f5c9d9bd5bc7374e9ef647669e
SHA1: f5b24e00fc05d0a4881984c3628c89f598cf93ca
SHA256: ea207655a3e401bfa9019b7b197cf58b6daf94619cdb78e126a8c686d0b1b154
SHA512: e052f410d03b29f3359932922430d1f103fb869a8283ff58d093ed47726d57034f6cfeaad14ac30ea8a1d8fcf67da828b36645abe860737e3a7d15e03d7e0264
Homepage: https://cran.r-project.org/package=duet
Description: CRAN Package 'duet' (Analysing Non-Verbal Communication in Dyadic Interactions fromVideo Data)
 Analyzes non-verbal communication by processing data extracted from video
 recordings of dyadic interactions. It supports integration with open source
 tools, currently limited to 'OpenPose' (Cao et al. (2019)
 <doi:10.1109/TPAMI.2019.2929257>), converting its outputs into CSV format
 for further analysis. The package includes functions for data
 pre-processing, visualization, and computation of motion indices such as
 velocity, acceleration, and jerkiness (Cook et al. (2013)
 <doi:10.1093/brain/awt208>), facilitating the analysis of non-verbal cues in
 paired interactions and contributing to research on human communication
 dynamics.

Package: r-cran-duke
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4467
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-palmerpenguins, r-cran-ggmosaic, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-duke_0.0.3-1.ca2004.1_all.deb
Size: 3132792
MD5sum: 62058131d6c9c60c46b91a0b9351b25b
SHA1: 4359151f92f38c16d266d5ebc8633f8b213748b3
SHA256: afc8bbd8c7c23a324515317c8cf4bd6c53867b9804a58d688cf7ee872a7988be
SHA512: 87cc8c7b5ef030ad31f9618c74f9ef9258ed46fa63f5e17cf8ed51cda0d6133f848d81f0f5701dec1ef54d97a67fa58f571760872dfbabc99b1bcc6f3b91676e
Homepage: https://cran.r-project.org/package=duke
Description: CRAN Package 'duke' (Creating a Color-Blind Friendly Duke Color Package)
 Generates visualizations with Duke’s official suite of colors in a color
 blind friendly way.

Package: r-cran-dumbbell
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1481
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyverse, r-cran-ggplot2, r-cran-rlang, r-cran-data.table, r-cran-rstatix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dumbbell_0.1-1.ca2004.1_all.deb
Size: 691020
MD5sum: 4125c0b4de6f2cdb7f0c7a580158586b
SHA1: 0b74b60ee460d353f9f26e896291860526cf17f9
SHA256: b4a2cf854a2eb0e1fd7a251688243284a3c5eae76dd696d95f8d1a3ab2ae8bb9
SHA512: 8397520741f1477b51a245d8443be3bf263a2930cb2fa5a046e3fd61bcdc9687b2de2d82946a379c4efed9debe1d2992c18bfcd4df60598a0cafa510ef82c36c
Homepage: https://cran.r-project.org/package=dumbbell
Description: CRAN Package 'dumbbell' (Displaying Changes Between Two Points Using Dumbbell Plots)
 Creates a Dumbbell Plot.

Package: r-cran-dummies
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dummies_1.5.6-1.ca2004.1_all.deb
Size: 28164
MD5sum: 537482c4ed3702d338e1b7fb6bb56a23
SHA1: 98404fcc186c36930f11015bb86254403a086e85
SHA256: 9793b0d38e265342f98370f08c9bc52a908d752e199b79b6a0cc03563a6d801f
SHA512: 47169201dd6a5f612b366a5bf9d4d42c82f027373796eff5fb773fb7c325ee21d30c0efcc6d90cdd1e95dba0bfdf4311c782d0c61c48cb695c39ea34e7979bf5
Homepage: https://cran.r-project.org/package=dummies
Description: CRAN Package 'dummies' (Create dummy/indicator variables flexibly and efficiently)
 Expands factors, characters and other eligible classes into dummy/indicator
 variables.

Package: r-cran-dummy
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dummy_0.1.3-1.ca2004.1_all.deb
Size: 18272
MD5sum: 1913e636e42e3c69de30401f6479ba2b
SHA1: 50e77fed65f7ab7b0f93a7d8c8a631c41127f319
SHA256: eb9b57dbff285df4b8602b06a9f0cbd9e27f49b104cbb3903ab6dc7724e079b2
SHA512: 50d514554c6e317ed3944f5198a7bda536d0c671a66b6ea5a88f121ce0fd20dcbc13fafc0855fee34723fbdfb52f704dc59c855e5e44f7370ff8ef482281625d
Homepage: https://cran.r-project.org/package=dummy
Description: CRAN Package 'dummy' (Automatic Creation of Dummies with Support for PredictiveModeling)
 Efficiently create dummies of all factors and character vectors in a data
 frame. Support is included for learning the categories on one data set
 (e.g., a training set) and deploying them on another (e.g., a test set).

Package: r-cran-dundermifflin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1528
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-dundermifflin_0.1.1-1.ca2004.1_all.deb
Size: 1428000
MD5sum: 290eeea8d0e1466ebf2b4d442b3e244b
SHA1: 0e2dc94f6056ffa225f60926bd2c0bf84798a23a
SHA256: 830f52207e76be2c3b16b8c9b9bdab41f9d5d1cff805c1e10bdfab2bf535eeac
SHA512: 75ec576923ecbd7a17eea59b459ea5f9de900363e375813fc704eb8bee0fa53726ff99267aa6cc54527b3082f34db6bdfdbc913fb599f12a18c04f2b4053909b
Homepage: https://cran.r-project.org/package=dundermifflin
Description: CRAN Package 'dundermifflin' (The Office Quotes on-Demand)
 Provides functions to randomly select, return, and print quotes or entire
 scenes from the American version of the show the Office. Receive laughs from
 one of of the greatest sitcoms of all time on demand. Add these functions to
 your '.Rprofile' to get a good laugh everytime you start a new R session.

Package: r-cran-dunlin
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-forcats, r-cran-glue, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dunlin_0.1.10-1.ca2004.1_all.deb
Size: 143856
MD5sum: dda88b40bc5d805794e7d4f8d5845c16
SHA1: 3ba27c3b0e43e14b6465a0072ba609a9ee71deb7
SHA256: bd49ead2e2da851fed05744c55edeb96527b4ff9a52005fed9d0320601fbdada
SHA512: 757382e0142682d4ecea27e7d0e69541c5e9c914cce907a08a34f5eac204b568bf7393af4815735cb3a2e3d77c80706958f8a6a4076fc76b4e82e3146895faaf
Homepage: https://cran.r-project.org/package=dunlin
Description: CRAN Package 'dunlin' (Preprocessing Tools for Clinical Trial Data)
 A collection of functions to preprocess data and organize them in a format
 amenable to use by chevron.

Package: r-cran-dunn.test
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dunn.test_1.3.6-1.ca2004.1_all.deb
Size: 56372
MD5sum: b5c241d490329287f06134d35c454311
SHA1: 89d2173e84a6416dde0aabfa1c201a661649d956
SHA256: b1e85479705a337dc3c794f93cfc3529e6ba8a2559de90f2c809d09980835815
SHA512: 028c3a2b3230ec8823756fec4339e93b9b5cc2d5e3ebb11c87ded389f45619930d53ba8611b2a11e6a5b0d89560b36eb698ae8081525fe3f8fbe49e6177bd286
Homepage: https://cran.r-project.org/package=dunn.test
Description: CRAN Package 'dunn.test' (Dunn's Test of Multiple Comparisons Using Rank Sums)
 Computes Dunn's test (1964) for stochastic dominance and reports the results
 among multiple pairwise comparisons after a Kruskal-Wallis test for
 0th-order stochastic dominance among k groups (Kruskal and Wallis, 1952).
 'dunn.test' makes k(k-1)/2 multiple pairwise comparisons based on Dunn's
 z-test-statistic approximations to the actual rank statistics. The null
 hypothesis for each pairwise comparison is that the probability of observing
 a randomly selected value from the first group that is larger than a
 randomly selected value from the second group equals one half; this null
 hypothesis corresponds to that of the Wilcoxon-Mann-Whitney rank-sum test.
 Like the rank-sum test, if the data can be assumed to be continuous, and the
 distributions are assumed identical except for a difference in location,
 Dunn's test may be understood as a test for median difference and for mean
 difference. 'dunn.test' accounts for tied ranks.

Package: r-cran-dunnetttests
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-dunnetttests_2.0-1.ca2004.1_all.deb
Size: 90452
MD5sum: ba6abe329c0f93a8e221dc74ea6356b7
SHA1: 3754826998d9a39ab8032b6024fcb9e19347280d
SHA256: eb92921774bbdfc9a1fd68ebbbcc09141ffa2a0633812961bcde6e2e2f989d7b
SHA512: 4bfaf3ac75a62b23421aed4c62e83f6eba8502addeac5a7bb44a47d80ecf4be0056b00ccfe902271bdc9d2dd093af9171a1869aad1475def92b7dda4680ffad9
Homepage: https://cran.r-project.org/package=DunnettTests
Description: CRAN Package 'DunnettTests' (Software implementation of step-down and step-up Dunnett testprocedures)
 For the implementation of the step-down or step-up Dunnett testing
 procedures, the package includes R functions to calculate critical constants
 and R functions to calculate adjusted P-values of the test statistics. In
 addition, the package also contains functions to evaluate testing powers and
 hence the necessary sample sizes specially for the classical problem of
 comparisons of several treatments with a control.

Package: r-cran-dupir
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dupir_1.2.1-1.ca2004.1_all.deb
Size: 173144
MD5sum: 0c6223e2bc42cfb6a6c5581c61529e31
SHA1: d34799f299a7fbb3c8d86a29a80af1eb85e0327d
SHA256: f697346835cb152bb6cdf569e290e9d87f5b76cf2f6f4185b0a4778f41adf9fe
SHA512: 2f41e814287c2046e265f89665ddf1ed3dcea57b82c3ef1b19afaefb202c1382160dfd3c8d06f0f2e6f33d50a71935dffb55362f49ffdfa12b36ea9b314f3084
Homepage: https://cran.r-project.org/package=dupiR
Description: CRAN Package 'dupiR' (Bayesian Inference from Count Data using Discrete Uniform Priors)
 We consider a set of sample counts obtained by sampling arbitrary fractions
 of a finite volume containing an homogeneously dispersed population of
 identical objects. This package implements a Bayesian derivation of the
 posterior probability distribution of the population size using a binomial
 likelihood and non-conjugate, discrete uniform priors under sampling with or
 without replacement. This can be used for a variety of statistical problems
 involving absolute quantification under uncertainty. See Comoglio et al.
 (2013) <doi:10.1371/journal.pone.0074388>.

Package: r-cran-dupnodes
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-qpdf, r-cran-rmarkdown, r-cran-dogesr
Filename: pool/dists/focal/main/r-cran-dupnodes_0.3.0-1.ca2004.1_all.deb
Size: 162788
MD5sum: 99b1fb25274ce1c1fa4d0f0ecc5efc23
SHA1: f66c3cd04055bfa725a55ac5df7289797aede083
SHA256: fe5c34d38bdae2a48c8dcd12f1278abf41531c5f392c1f7964fb5832f4bd1cb1
SHA512: 1177639848c34c086874013f333b9011874f659b186f2969100c3d547a50d3f49c1d2c1e5b31a9aee49d04286eab9709b7af320f87fa5ce1b0bd2ab052759040
Homepage: https://cran.r-project.org/package=dupNodes
Description: CRAN Package 'dupNodes' (Computes DNSLbetweenness, a Betweenness Measure that IncludesSelf-Loops)
 Computes a new measure, DNSL betweenness, via the creation of a new graph
 from an existing one, duplicating nodes with self-loops. This betweenness
 centrality does not drop this essential information. Implements Merelo &
 Molinari (2024) <doi:10.1007/s42001-023-00245-4>.

Package: r-cran-dupree
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-magrittr, r-cran-stringdist, r-cran-lintr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dupree_0.3.0-1.ca2004.1_all.deb
Size: 118768
MD5sum: 01f32a78df791f848df0d0ac4ed15bfb
SHA1: f24c8487aee5138bbc1e0054d6a4c7e20edd8a9d
SHA256: 54d02b8f71f0842e7ea9f69369e8e1fa75c47b5402bbada8336c2e3437120374
SHA512: e53a646d571cc6960ba5303712af54cb8c8f8759745da8fed7a08070d305e86fb791be093765808e2068a3f23a88acc742b3abbeedebff731cabe17df776b025
Homepage: https://cran.r-project.org/package=dupree
Description: CRAN Package 'dupree' (Identify Duplicated R Code in a Project)
 Identifies code blocks that have a high level of similarity within a set of
 R files.

Package: r-cran-durga
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vipor, r-cran-boot, r-cran-rcolorbrewer
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-data.table, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-durga_2.0-1.ca2004.1_all.deb
Size: 328600
MD5sum: 2b856041ebf2555a2205cae41de930bc
SHA1: b730c7a7f57f785f94d5e9d3831343800ff520ac
SHA256: ff34774193e788084e5111fbcf26f9a32c855c8a1f90433dcd46c82739a7f284
SHA512: 930b6a896ce30f83a167f69121bf083bd1db2e5759505a1d27e1d9ebd137cd5c76cbb8f4f239704d645e5a2e71ebaf6587e170126c2ad03d4332b241d294978a
Homepage: https://cran.r-project.org/package=Durga
Description: CRAN Package 'Durga' (Effect Size Estimation and Visualisation)
 An easy-to-use yet powerful system for plotting grouped data effect sizes.
 Various types of effect size can be estimated, then plotted together with a
 representation of the original data. Select from many possible data
 representations (box plots, violin plots, raw data points etc.), and combine
 as desired.  'Durga' plots are implemented in base R, so are compatible with
 base R methods for combining plots, such as 'layout()'. See Khan & McLean
 (2023) <doi:10.1101/2023.02.06.526960>.

Package: r-cran-dverse
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-rlang, r-cran-tibble
Suggests: r-cran-dt, r-cran-knitr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-dverse_0.2.0-1.ca2004.1_all.deb
Size: 24036
MD5sum: da31b6cfd8d4b5d575639644f5a60752
SHA1: 10214927fcee759bfe3ea679acf63e02be191359
SHA256: a54c75d784a4d6aea662799822de9aea1baadaeca1c7b06360e4dba0df0ca6a0
SHA512: 4260fe6a8be9f9bd875071d14159b65e3e3dba519643d5820dab8f6915cfcf54275acbb1a648427d97149399635f1f451acad4de2a844f7f0737a62734067c1f
Homepage: https://cran.r-project.org/package=dverse
Description: CRAN Package 'dverse' (Document a Universe of Packages)
 Creates a data frame containing the metadata associated with the
 documentation of a collection of R packages. It allows for linking topic
 names to their corresponding documentation online. If you maintain a
 universe meta-package, it helps create a comprehensive reference for its
 website.

Package: r-cran-dvhmetrics
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-dt, r-cran-kernsmooth, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-bs4dash
Filename: pool/dists/focal/main/r-cran-dvhmetrics_0.4.2-1.ca2004.1_all.deb
Size: 992000
MD5sum: cd3bc97d9f9b95be7614f2608e0a701b
SHA1: 8dfcf56a72c324dd5d5bc58e2e7f8767d84fbc60
SHA256: a1b9c9a1363eb4a3daffc99281529dcdc7758f7597bdff5c1b8a4306887782fb
SHA512: 7f7a9cb7b9bb93b510586cde71ebd922ed606c7d3a1251ad345ac84d2c6db1dd3a99281af2aa087dd473f5a6ac667bde153add21eadc954220d3af1985a228be
Homepage: https://cran.r-project.org/package=DVHmetrics
Description: CRAN Package 'DVHmetrics' (Analyze Dose-Volume Histograms and Check Constraints)
 Functionality for analyzing dose-volume histograms (DVH) in radiation
 oncology: Read DVH text files, calculate DVH metrics as well as generalized
 equivalent uniform dose (gEUD), biologically effective dose (BED),
 equivalent dose in 2 Gy fractions (EQD2), normal tissue complication
 probability (NTCP), and tumor control probability (TCP). Show DVH diagrams,
 check and visualize quality assurance constraints for the DVH. Includes
 web-based graphical user interface.

Package: r-cran-dvir
Architecture: all
Version: 3.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-forrel, r-cran-pbapply, r-cran-pedfamilias, r-cran-pedprobr, r-cran-ribd, r-cran-verbalisr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dvir_3.3.0-1.ca2004.1_all.deb
Size: 574248
MD5sum: 7631426a20965642aa5b7db65b202c08
SHA1: 5d62bbea88e91ef9646ad9b08d77f4b1f41c83ce
SHA256: e5226572a258d869e1c1a0097ca8ce14e057a86561bbb1c912a6e74b9103ab7e
SHA512: f3393c0df69b0aa8c361a1ef2d142a0c3b3c45300fdeb48c60f4193c027f86223fea35257dfecfa1b6c7186a76b8982408b52a3893e28e2cd6afcaba987f27b4
Homepage: https://cran.r-project.org/package=dvir
Description: CRAN Package 'dvir' (Disaster Victim Identification)
 Joint DNA-based disaster victim identification (DVI), as described in
 Vigeland and Egeland (2021) <doi:10.21203/rs.3.rs-296414/v1>. Identification
 is performed by optimising the joint likelihood of all victim samples and
 reference individuals. Individual identification probabilities, conditional
 on all available information, are derived from the joint solution in the
 form of posterior pairing probabilities. 'dvir' is part of the 'pedsuite'
 collection of packages for pedigree analysis.

Package: r-cran-dvqcc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tsdyn
Filename: pool/dists/focal/main/r-cran-dvqcc_0.1.0-1.ca2004.1_all.deb
Size: 67816
MD5sum: b4b2bfa08e95a277974e8eb7666cd04e
SHA1: f45f69d46c7c87c96d2baada821c431551f649b9
SHA256: 62a5b70508d8a04361b135c1310fb6ffddbf974bc66e73659cf9192945adb111
SHA512: e5cbf5774b8682412a272c9d2fb4e4ce09ad3baa79b26d882ea452c1cfd0a54155a0886a77b3cc1a8e45f820c2de771a020685ac47c5c373f6c339055bc26bde
Homepage: https://cran.r-project.org/package=dvqcc
Description: CRAN Package 'dvqcc' (Dynamic VAR - Based Control Charts for Batch Process Monitoring)
 A set of control charts for batch processes based on the VAR model. The
 package contains the implementation of T2.var and W.var control charts based
 on VAR model coefficients using the couple vectors theory. In each
 time-instant the VAR coefficients are estimated from a historical in-control
 dataset and a decision rule is made for online classifying of a new batch
 data. Those charts allow efficient online monitoring since the very first
 time-instant. The offline version is available too. In order to evaluate the
 chart's performance, this package contains functions to generate batch data
 for offline and online monitoring.See in Danilo Marcondes Filho and Marcio
 Valk (2020) <doi:10.1016/j.ejor.2019.12.038>.

Package: r-cran-dwavenardl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nardl, r-cran-wavelets, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-dwavenardl_0.1.0-1.ca2004.1_all.deb
Size: 16772
MD5sum: 2636c74d8763273d63db835089194451
SHA1: 95b6ccb459f18443d4212e9a8b3abd7a697d53e5
SHA256: 3e051fd1816a6fc64148f266a1ae121324e4a0e784fc323e4484b025fd231d69
SHA512: 0ebc18d60d1bce1c56a85c9d6e8c3ff08a7aff31aa60ac6ee379fdaede496cd5659f4fe1ad02fc1cac40c65653b11b775b58e5ac3ab1ba550ef4d1f9f03cf72f
Homepage: https://cran.r-project.org/package=DWaveNARDL
Description: CRAN Package 'DWaveNARDL' (Dual Wavelet Based NARDL Model)
 Dual Wavelet based Nonlinear Autoregressive Distributed Lag model has been
 developed for noisy time series analysis. This package is designed to
 capture both short-run and long-run relationships in time series data, while
 incorporating wavelet transformations. The methodology combines the NARDL
 model with wavelet decomposition to better capture the nonlinear dynamics of
 the series and exogenous variables. The package is useful for analyzing
 economic and financial time series data that exhibit both long-term trends
 and short-term fluctuations. This package has been developed using algorithm
 of Jammazi et al. <doi:10.1016/j.intfin.2014.11.011>.

Package: r-cran-dwbmodelun
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4583
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dygraphs, r-cran-htmltools, r-cran-ncdf4, r-cran-raster, r-cran-rgdal
Suggests: r-cran-hydrogof, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dwbmodelun_1.0.0-1.ca2004.1_all.deb
Size: 4068804
MD5sum: 4c938c60259c4f11773e9accb8cae23e
SHA1: e8197d7720cb235f65df2b592e694ac86d60bf4f
SHA256: 348301c407daacca7599a860d8be823db9fb6b67140a5b67b0380c7bf03cfd0c
SHA512: ecd28eb5ed943450e66a36f1605b574c66d8f4d919a0fc78f511f9a112a552ec8113570de1899e28d17761ecb2dee7ee19df17f5201b2fdf42717c7941aad0f8
Homepage: https://cran.r-project.org/package=DWBmodelUN
Description: CRAN Package 'DWBmodelUN' (Dynamic Water Balance a Hydrological Model)
 A tool to hydrologic modelling using the Budyko framework and the Dynamic
 Water Balance model with Dynamical Dimension Search algorithm to calibrate
 the model and analyze the outputs from interactive graphics. It allows to
 calculate the water availability in basins and also some water fluxes
 represented by the structure of the model.  See Zhang, L., N., Potter, K.,
 Hickel, Y., Zhang, Q., Shao (2008) <DOI:10.1016/j.jhydrol.2008.07.021>
 "Water balance modeling over variable time scales based on the Budyko
 framework - Model development and testing", Journal of Hydrology, 360,
 117–131.  See Tolson, B., C., Shoemaker (2007) <DOI:10.1029/2005WR004723>
 "Dynamically dimensioned search algorithm for computationally efficient
 watershed model calibration", Water Resources Research, 43, 1–16.

Package: r-cran-dwctaxon
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-digest, r-cran-dplyr, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-settings, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-mockery, r-cran-readr, r-cran-usethis, r-cran-knitr, r-cran-rmarkdown, r-cran-patrick, r-cran-stringi, r-cran-english, r-cran-tidyr, r-cran-curl, r-cran-httr
Filename: pool/dists/focal/main/r-cran-dwctaxon_2.0.3-1.ca2004.1_all.deb
Size: 1076960
MD5sum: 50faea1fe88e5494056ec5656e2e4673
SHA1: 0c66f4852486a58da06df5840d0639dd70996b3d
SHA256: 34dd4752eef2449a708d3819e39ae5fc5539c68ec32b218b2c07f67ec9f0cfa4
SHA512: fa0044261ebbf9bc3c4e4789889b776e04cd16c8b270aa8d5773500fddd2e2dab5a4aafdfbefd7fc182dcd98a24d98e05f9a95e556b7cbb129d6b7f188e138ba
Homepage: https://cran.r-project.org/package=dwctaxon
Description: CRAN Package 'dwctaxon' (Edit and Validate Darwin Core Taxon Data)
 Edit and validate taxonomic data in compliance with Darwin Core standards
 (Darwin Core 'Taxon' class <https://dwc.tdwg.org/terms/#taxon>).

Package: r-cran-dwdlarger
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dwdlarger_0.2-0-1.ca2004.1_all.deb
Size: 108364
MD5sum: e6fab64aaf1d02666d758f782dd8c4af
SHA1: 8dfbbda074fa7cb87d1e3021ee6fa6c1c27dd0b0
SHA256: c67c6480dd6ab4b134b9978500c70fc9ec6c5bfd60dc6929775fd0a79ff56f8d
SHA512: b054e52ecd3720a1047295ecdc258ec74eaa6a25922f1df2030d150a7687faeaa49c8904a557b7ffdb76ef3799fa83a7883ae489e81f9fee5865ebdcaf474f07
Homepage: https://cran.r-project.org/package=DWDLargeR
Description: CRAN Package 'DWDLargeR' (Fast Algorithms for Large Scale Generalized Distance WeightedDiscrimination)
 Solving large scale distance weighted discrimination.  The main algorithm is
 a symmetric Gauss-Seidel based alternating direction method of multipliers
 (ADMM) method. See Lam, X.Y., Marron, J.S., Sun, D.F., and Toh, K.C. (2018)
 <doi:10.48550/arXiv.1604.05473> for more details.

Package: r-cran-dwlasso
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-hglasso
Filename: pool/dists/focal/main/r-cran-dwlasso_1.1-1.ca2004.1_all.deb
Size: 29032
MD5sum: a39ab55051a09b2ce0daa65e670ac021
SHA1: 5f5e34897bc4ce078b2b0f06c2768da41e9035a9
SHA256: 9ceb6b104d12687224d60613f454da8c82326fdec8adb6726bc846b1def5221f
SHA512: b44ae8f3130734927ee724ad022d8100292601441b18a8050074e70dbe20f3e5a5b58c079d0dd22b7f2d1e44f415abf7a6c567e9421909b37a1550614829d102
Homepage: https://cran.r-project.org/package=DWLasso
Description: CRAN Package 'DWLasso' (Degree Weighted Lasso)
 Infers networks with hubs using degree weighted Lasso method.

Package: r-cran-dwlm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dwlm_0.1.0-1.ca2004.1_all.deb
Size: 34712
MD5sum: 16fb877668207158e2d6b34c8252f596
SHA1: c7d8b72886d0fb2a786da11a41223613e0d13b6a
SHA256: 95e20be6834478739f394230e2bb269a8995ca7dc4b5e1aa4e5d0e5753f5e3d5
SHA512: b5cc7fbb1a308d75a2672c9aced17e990b11326c0cf46633c168fd8a025065958708d0f5df48ad52f94e941194e5e4721a2b1b889333efda105cb8741e7e4d78
Homepage: https://cran.r-project.org/package=dwlm
Description: CRAN Package 'dwlm' (Doubly Weighted Linear Model)
 This linear model solution is useful when both predictor and response have
 associated uncertainty. The doubly weights linear model solution is
 invariant on which quantity is used as predictor or response. Based on the
 results by Reed(1989) <doi:10.1119/1.15963> and Ripley & Thompson(1987)
 <doi:10.1039/AN9871200377>.

Package: r-cran-dwls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-quadprog, r-cran-reshape, r-cran-seurat, r-cran-rocr, r-cran-varhandle, r-cran-dplyr, r-cran-e1071, r-bioc-mast, r-bioc-summarizedexperiment
Suggests: r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-dwls_0.1.0-1.ca2004.1_all.deb
Size: 197012
MD5sum: ab9aa496206f6cc479e913b9b2f7df7d
SHA1: b98de45fcb77c02f10a89e6052ddd286f74fa55d
SHA256: 2054ce2ee3e482c819619b29ae3c34cd975adcfdc6124b06ad85bec4e0e3af99
SHA512: 4c02727eaa62137851682788caffa90b4b7ac89da43914c3cc965fe752f561e0e91fd42d36d8afa9404de17aba73970c8a4b1e28dbda682cb29caadc59e593a8
Homepage: https://cran.r-project.org/package=DWLS
Description: CRAN Package 'DWLS' (Gene Expression Deconvolution Using Dampened Weighted LeastSquares)
 The rapid development of single-cell transcriptomic technologies has helped
 uncover the cellular heterogeneity within cell populations.  However, bulk
 RNA-seq continues to be the main workhorse for quantifying gene expression
 levels due to technical simplicity and low cost. To most effectively extract
 information from bulk data given the new knowledge gained from single-cell
 methods, we have developed a novel algorithm to estimate the cell-type
 composition of bulk data from a single-cell RNA-seq-derived cell-type
 signature. Comparison with existing methods using various real RNA-seq data
 sets indicates that our new approach is more accurate and comprehensive than
 previous methods, especially for the estimation of rare cell types. More
 importantly,our method can detect cell-type composition changes in response
 to external perturbations, thereby providing a valuable, cost-effective
 method for dissecting the cell-type-specific effects of drug treatments or
 condition changes.  As such, our method is applicable to a wide range of
 biological and clinical investigations. Dampened weighted least squares
 ('DWLS') is an estimation method for gene expression deconvolution, in which
 the cell-type composition of a bulk RNA-seq data set is computationally
 inferred.  This method corrects common biases towards cell types that are
 characterized by highly expressed genes and/or are highly prevalent, to
 provide accurate detection across diverse cell types. See:
 <https://www.nature.com/articles/s41467-019-10802-z.pdf> for more
 information about the development of 'DWLS' and the methods behind our
 functions.

Package: r-cran-dwp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-expint, r-cran-genest, r-cran-gtools, r-cran-invgamma, r-cran-magrittr, r-cran-mass, r-cran-matrixstats, r-cran-mvtnorm, r-cran-numderiv, r-cran-plotrix, r-cran-pracma, r-cran-sf, r-cran-statmod, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-dwp_1.1-1.ca2004.1_all.deb
Size: 408988
MD5sum: 349af488f894e9d5c63ada8f9076c9d2
SHA1: fc8291a09cd316abf264afa49f52eeae093db693
SHA256: 14005eb478a736759f2b4f9937b54f63e78e54b0332fdcbfba829b9ba08ae215
SHA512: 33f730b429825fe198709552a2012979d78c9b637f01e0e69fbb4174b8c64378b9d1bd321362456f73df2ac0bb45764507806665fb89934e82e043040cb7eb76
Homepage: https://cran.r-project.org/package=dwp
Description: CRAN Package 'dwp' (Density-Weighted Proportion)
 Fit a Poisson regression to carcass distance data and integrate over the
 searched area at a wind farm to estimate the fraction of carcasses falling
 in the searched area and format the output for use as the dwp parameter in
 the 'GenEst' or 'eoa' package for estimating bird and bat mortality,
 following Dalthorp, et al. (2022) <arXiv:2201.10064>.

Package: r-cran-dwreg
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-maxlik, r-cran-discreteweibull, r-cran-ecdat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-dwreg_3.0-1.ca2004.1_all.deb
Size: 43460
MD5sum: 946c35fd2d1a5de911dd7fe7531cb3b3
SHA1: 96814bf7cc146cf2798d1ccc9ddb9b2e3f937150
SHA256: 7f00a6ee5a0a2ee7cec3ed0c8af9df31c4e72f9c7a6269b009e920811d5ef968
SHA512: 37791a508e3ab1ecd3588a590e492d330e2a31e63412490a09a0fcd790273fa833c7d044757bb97c50a32acd99d19b28e0439b608feebb283306bbcfa35bfe62
Homepage: https://cran.r-project.org/package=DWreg
Description: CRAN Package 'DWreg' (Parametric Regression for Discrete Response)
 Regression for a discrete response, where the conditional distribution is
 modelled via a discrete Weibull distribution.

Package: r-cran-dyads
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cholwishart, r-cran-mass, r-cran-rcppziggurat, r-cran-rfast, r-cran-mvtnorm
Suggests: r-cran-plyr
Filename: pool/dists/focal/main/r-cran-dyads_1.2.1-1.ca2004.1_all.deb
Size: 167572
MD5sum: ab1ddc5e7a3360c26912bf9c064bf924
SHA1: 91472b29731f9564482ff7c3a7a867214b54adc0
SHA256: 52430d0e7af4569321c12778092376a916d09fa355d4e570604bd1a7d0dada9f
SHA512: 6bc6c0716df64a2211a7215642a32f03f9564f19a1fada0505d5955c0f645817516abbf298dcd67fcda0a2fd30dc080b076f1a2f879f992525f6919ae08e6092
Homepage: https://cran.r-project.org/package=dyads
Description: CRAN Package 'dyads' (Dyadic Network Analysis)
 Contains functions for the MCMC simulation of dyadic network models j2
 (Zijlstra, 2017, <doi:10.1080/0022250X.2017.1387858>) and p2 (Van Duijn,
 Snijders & Zijlstra, 2004, <doi: 10.1046/j.0039-0402.2003.00258.x>), the
 multilevel p2 model (Zijlstra, Van Duijn & Snijders (2009) <doi:
 10.1348/000711007X255336>), and the bidirectional (multilevel) counterpart
 of the the multilevel p2 model as described in Zijlstra, Van Duijn &
 Snijders (2009) <doi: 10.1348/000711007X255336>, the (multilevel) b2 model.

Package: r-cran-dycdtools
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ncdf4, r-cran-tidyr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-lubridate, r-cran-r.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dycdtools_0.4.4-1.ca2004.1_all.deb
Size: 115276
MD5sum: b7e78a74bfa70ce951ee011c4853b992
SHA1: adab82d11d1c8733a09c4f0f107e697b1217d260
SHA256: fc35a937576fe592dbfa63c43eca49c2c48a7de654c397de57307b05a49bdf4c
SHA512: f427b03d68e997ab6330158f3833a4e40b7bdade30c9243172afa992c476f212d0ab58505ed5a06953700c192021e17c5ef9540b40408739330a05b54a6d1a84
Homepage: https://cran.r-project.org/package=dycdtools
Description: CRAN Package 'dycdtools' (Calibration Assistant and Post-Processing Tool for AquaticEcosystem Model DYRESM-CAEDYM)
 Dynamic Reservoir Simulation Model (DYRESM) and Computational Aquatic
 Ecosystem Dynamics Model (CAEDYM) model development, including assisting
 with calibrating selected model parameters and visualising model output
 through time series plot, profile plot, contour plot, and scatter plot. For
 more details, see Yu et al. (2023)
 <https://journal.r-project.org/articles/RJ-2023-008/>.

Package: r-cran-dydea
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chaos01
Filename: pool/dists/focal/main/r-cran-dydea_0.1.0-1.ca2004.1_all.deb
Size: 30516
MD5sum: ba2c097dd53b0909e28f3b61524060d0
SHA1: 9a481360190614d0e1b0ea93b64b3e2c78411671
SHA256: 90263e14e07ddbe8df2b7e765b30005dc0ad7944b64995054e0b6679a4876c63
SHA512: 70a461d2cb97427464ec5a239bbf1dfc592960613e544074aa7ef4bc7ed52c029a79bf19da00d85afdcac08093bd64a4aa0977f27771a91055f7d405d0452621
Homepage: https://cran.r-project.org/package=dydea
Description: CRAN Package 'dydea' (Detection of Chaotic and Regular Intervals in the Data)
 Finds regular and chaotic intervals in the data using the 0-1 test for chaos
 proposed by Gottwald and Melbourne (2004) <DOI:10.1137/080718851>.

Package: r-cran-dygraphs
Architecture: all
Version: 1.1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-htmlwidgets, r-cran-htmltools, r-cran-zoo, r-cran-xts
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dygraphs_1.1.1.6-1.ca2004.1_all.deb
Size: 371040
MD5sum: e5501d49e3665f115c5c35ca39275854
SHA1: a9e86a578de37c14b0f53edf240c642a1338a7c5
SHA256: 4789674ee514a5b24cbfa5f7afa9ed35ecee1726f749dec4751ce51770577ca2
SHA512: f5ab340d4e39171d3ce5cbfc775cdaa3c939cc2b6ca5ac01f07a0e64ee08c7f36542284a1f64b9e0d51769a28d83a662138c782bcd6aa5f42c1f850217d59656
Homepage: https://cran.r-project.org/package=dygraphs
Description: CRAN Package 'dygraphs' (Interface to 'Dygraphs' Interactive Time Series Charting Library)
 An R interface to the 'dygraphs' JavaScript charting library (a copy of
 which is included in the package). Provides rich facilities for charting
 time-series data in R, including highly configurable series- and
 axis-display and interactive features like zoom/pan and series/point
 highlighting.

Package: r-cran-dykstra
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dykstra_1.0-0-1.ca2004.1_all.deb
Size: 21716
MD5sum: 834681ce145a5dc7e47288f19ca50bdc
SHA1: 9f03a4c837b83e96e4ed3ec5016a7c0d1946ee95
SHA256: 4037c8a92b746874fb98062f82dc2fc1a771a0332faebfa3dba0f39dbf0bdc9a
SHA512: a326bdb00e1b9aee12a3b280e72b561239ea46e2353cb4dd16c50a1ff48cfb8e5c27c0b2fb1173ff030121a6805e984e97bb3f81fd7b60420da02b319e85f531
Homepage: https://cran.r-project.org/package=Dykstra
Description: CRAN Package 'Dykstra' (Quadratic Programming using Cyclic Projections)
 Solves quadratic programming problems using Richard L. Dykstra's cyclic
 projection algorithm. Routine allows for a combination of equality and
 inequality constraints. See Dykstra (1983)
 <doi:10.1080/01621459.1983.10477029> for details.

Package: r-cran-dym
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dym_0.2-1.ca2004.1_all.deb
Size: 24948
MD5sum: fd7f2ab7148c72300db1fc021fc65d79
SHA1: 90a34f66d8fbae257e8b2e2a53546bad96dbec50
SHA256: 667af4301526a3c66a3db5edd9fedbeb30c1a83d6615e6664f59baa568bf7e99
SHA512: 7e08d5cb1e2e0b264ea6072b73d2b94edcc1078624034abaef50ed82ea89a38e1ac73986083292dfa5ca320f81f304886af4e43c47e1baf0ca6d325d2a10208d
Homepage: https://cran.r-project.org/package=DYM
Description: CRAN Package 'DYM' (Did You Mean?)
 Add a "Did You Mean" feature to the R interactive. With this package, error
 messages for misspelled input of variable names or package names suggest
 what you really want to do in addition to notification of the mistake.

Package: r-cran-dymep
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3580
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dymep_0.1.2-1.ca2004.1_all.deb
Size: 1556088
MD5sum: 4c8d4d7368b66fc3b298156525c0f1b5
SHA1: 40d4260220a5a91a3b87b7a3d6d807d3e7ab3bfc
SHA256: f58f3a340ff14788f12922aaa7a471a025ff32b191c3cc32d611c4e915f22b60
SHA512: 54a0247d3e9dfc47d524b13dab28c6a07502d6648081f3191eaf8f2ad4905e1c7ade7fb46851e8a3ba8e3883d555a23903ddd36802158c2ab3923eee307fb90b
Homepage: https://cran.r-project.org/package=DyMEP
Description: CRAN Package 'DyMEP' (Dynamic Multi Environment Phenology-Model)
 Mechanistically models/predicts the phenology (macro-phases) of 10 crop
 plants (trained on a big dataset over 80 years derived from the German
 weather service (DWD) <https://opendata.dwd.de/>). Can be applied for remote
 sensing purposes, dynamically check the best subset of available covariates
 for the given dataset and crop.

Package: r-cran-dymo
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-ggplot2, r-cran-readr, r-cran-lubridate, r-cran-imputets, r-cran-fancova, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-greybox, r-cran-mass, r-cran-matlib, r-cran-narray
Filename: pool/dists/focal/main/r-cran-dymo_1.1.0-1.ca2004.1_all.deb
Size: 76128
MD5sum: 9fb8cf077711e819fd86d344b645812c
SHA1: 788faaae83e6e9fc16c162b93c0549345b3e99da
SHA256: d9fbd79055fae78d7ab21b8d39a41ba41638814b570428a9317dc628b849d5e3
SHA512: eda323add7d524deb3ef22cd5b26da1316dd52cac6a88dc349ed4cce5ac288b662f11dbfc8748a8b2df3f29ac7da2fff03c14a5c3d3eabf3a88afe5af40dd99d
Homepage: https://cran.r-project.org/package=dymo
Description: CRAN Package 'dymo' (Dynamic Mode Decomposition for Multivariate Time FeaturePrediction)
 An application of Dynamic Mode Decomposition for prediction of time
 features. Automatic search for the best model across the space of all
 possible feature combinations and ranks of Singular Value Decomposition.

Package: r-cran-dyn.log
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 773
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-glue, r-cran-r6, r-cran-rlang, r-cran-stringr, r-cran-yaml
Suggests: r-cran-devtools, r-cran-usethis, r-cran-rmarkdown, r-cran-markdown, r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-lintr, r-cran-remotes, r-cran-pkgdown, r-cran-prettydoc, r-cran-here, r-cran-fansi, r-cran-pander, r-cran-dt
Filename: pool/dists/focal/main/r-cran-dyn.log_0.4.0-1.ca2004.1_all.deb
Size: 310892
MD5sum: a78a5be73e8a002ff8e707cd64ecbe48
SHA1: 6ed89b15c6461bcc72940b9b03fc7740a3e5df6d
SHA256: 3822bbe5267719185c80b4167399fccf1ce762af5fc32f9cec542bd37c69b60f
SHA512: 4e0a4261c09ea9f681777677b2813a2bce1cfb0c415021b0faf7cc466537d2326f7ad439beee942cb1ccbd43d138fa4169111a625d86eb305be6930e1fbaaa92
Homepage: https://cran.r-project.org/package=dyn.log
Description: CRAN Package 'dyn.log' (Dynamic Logging for R Inspired by Configuration DrivenDevelopment)
 A comprehensive and dynamic configuration driven logging package for R.
 While there are several excellent logging solutions already in the R
 ecosystem, I always feel constrained in some way by each of them. Every
 project is designed differently to solve it's domain specific problem, and
 ultimately the utility of a logging solution is its ability to adapt to this
 design. This is the raison d'être for 'dyn.log': to provide a modular
 design, template mechanics and a configuration-based integration model, so
 that the logger can integrate deeply into your design, even though it knows
 nothing about it.

Package: r-cran-dyn
Architecture: all
Version: 0.2-9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Suggests: r-cran-lattice, r-cran-mass, r-cran-mcmcpack, r-cran-quantreg, r-cran-randomforest, r-cran-sandwich, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-dyn_0.2-9.6-1.ca2004.1_all.deb
Size: 48868
MD5sum: 8615b43312d7b7106116c1e3bbaf0625
SHA1: 8436a768a3886c4a99991bbdc852dc361e7b3601
SHA256: 5a250afc7a9177b6f4cab9d3fc563ac64cc573bd9919ba7f8371bcd6522b5fc0
SHA512: 7eddcc57f0bb6d8319548e78eaa7c90d52f818bffed06d49b9411ba7f593c92c0f3a6a71681c28c05d0541d53e831b770d86327c868c3b19d28650fcbbf19873
Homepage: https://cran.r-project.org/package=dyn
Description: CRAN Package 'dyn' (Time Series Regression)
 Time series regression.  The dyn class interfaces ts, irts(), zoo() and
 zooreg() time series classes to lm(), glm(), loess(), quantreg::rq(),
 MASS::rlm(), MCMCpack::MCMCregress(), quantreg::rq(),
 randomForest::randomForest() and other regression functions allowing those
 functions to be used with time series including specifications that may
 contain lags, diffs and missing values.

Package: r-cran-dynamac
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-lmtest
Suggests: r-cran-urca, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynamac_0.1.12-1.ca2004.1_all.deb
Size: 485316
MD5sum: 91bfdc7285a9d8bf7e56f1c7bba07f83
SHA1: ff67552652479f8829a3ee341aff33d5368ed1bc
SHA256: 185e60ad0c07dacee1220f9c4671814defe5253c04de667b7c0603a3b0db641c
SHA512: 401bfb0373ada8fb247d75d24510901e663d50c98dad135b83f012408a15084e73b193732dc5c0fcd0963c1e399fcd771f901b0172c481dbb744bfa3d55be111
Homepage: https://cran.r-project.org/package=dynamac
Description: CRAN Package 'dynamac' (Dynamic Simulation and Testing for Single-Equation ARDL Models)
 While autoregressive distributed lag (ARDL) models allow for extremely
 flexible dynamics, interpreting substantive significance of complex lag
 structures remains difficult. This package is designed to assist users in
 dynamically simulating and plotting the results of various ARDL models. It
 also contains post-estimation diagnostics, including a test for
 cointegration when estimating the error-correction variant of the
 autoregressive distributed lag model (Pesaran, Shin, and Smith 2001
 <doi:10.1002/jae.616>).

Package: r-cran-dynamaedes
Architecture: all
Version: 2.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3531
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-doparallel, r-cran-drc, r-cran-foreach, r-cran-geosphere, r-cran-terra
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-eesim, r-cran-gstat, r-cran-ggplot2, r-cran-dplyr, r-cran-lubridate, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-dynamaedes_2.2.9-1.ca2004.1_all.deb
Size: 1950772
MD5sum: 77cba687b7e33139c9aa496046979269
SHA1: fb37c043cc98ee085b03c0194a478c36fe31754d
SHA256: a3d3c212fd27b7c2f339e71940697340b985312b48387a3e9f7bbdf8ce90405b
SHA512: 4847940fd6b627a4687c31fe88f08dd3110443d3e547117391a6139fb35cde3644fb9b19e741f28a99b2311a1f1d6deea9af23b08359506fbe9e5e365a5d6cd8
Homepage: https://cran.r-project.org/package=dynamAedes
Description: CRAN Package 'dynamAedes' (A Unified Mechanistic Model for the Population Dynamics ofInvasive Aedes Mosquitoes)
 Generalised model for population dynamics of invasive Aedes mosquitoes.
 Rationale and model structure are described here: Da Re et al. (2021)
 <doi:10.1016/j.ecoinf.2020.101180> and Da Re et al. (2022)
 <doi:10.1101/2021.12.21.473628>.

Package: r-cran-dynamic
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-simstandard, r-cran-tidyr, r-cran-lavaan, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-patchwork, r-cran-stringr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynamic_1.1.0-1.ca2004.1_all.deb
Size: 339716
MD5sum: 7acb575831106fd80ffce6775c8cae4e
SHA1: dee16334148eaeca876837c65de904aba8455286
SHA256: 4c6249db2c7623144b4e36b797f9c4af8dbff7cdbb83904bc00d2cba2cc532e8
SHA512: 5baee626e64be587bd346fc82657af821564951958a65dbfe41d6747c8dd73317bb9e7735db7ed90ee0e8cc8fe596b572887568a04195294ed1336d95f50396d
Homepage: https://cran.r-project.org/package=dynamic
Description: CRAN Package 'dynamic' (DFI Cutoffs for Latent Variable Models)
 Returns dynamic fit index (DFI) cutoffs for latent variable models that are
 tailored to the user's model statement, model type, and sample size.  This
 is the counterpart of the Shiny Application, <https://dynamicfit.app>.

Package: r-cran-dynamicsdm
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1421
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-googledrive, r-cran-lubridate, r-cran-magrittr, r-cran-reticulate, r-cran-rgee, r-cran-terra, r-cran-tidyr, r-cran-sf, r-cran-readr
Suggests: r-cran-ape, r-cran-coordinatecleaner, r-cran-covr, r-cran-gargle, r-cran-gbm, r-cran-ggplot2, r-cran-knitr, r-cran-magick, r-cran-matrixstats, r-cran-rmarkdown, r-cran-spthin, r-cran-stars, r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-dynamicsdm_1.3.4-1.ca2004.1_all.deb
Size: 1150208
MD5sum: 361c334ed1c91829fd64d0321a48add7
SHA1: 0845fe9dea4ae7ffa2468bc38f4b8313039fba4d
SHA256: 89c01389c359389b5588d3259f5160e46d487965ea274acf264bf061a6a7e69e
SHA512: 4d9feaa3f2512240adbb91cd4f333289ff5dd9c4d578abd20bead3bd20c29f27b9905314f0725fe877ebdac4d500d143f52e387d7bba9ab76c2e890ad39345b7
Homepage: https://cran.r-project.org/package=dynamicSDM
Description: CRAN Package 'dynamicSDM' (Species Distribution and Abundance Modelling at HighSpatio-Temporal Resolution)
 A collection of novel tools for generating species distribution and
 abundance models (SDM) that are dynamic through both space and time. These
 highly flexible functions incorporate spatial and temporal aspects across
 key SDM stages; including when cleaning and filtering species occurrence
 data, generating pseudo-absence records, assessing and correcting sampling
 biases and autocorrelation, extracting explanatory variables and projecting
 distribution patterns. Throughout, functions utilise Google Earth Engine and
 Google Drive to minimise the computing power and storage demands associated
 with species distribution modelling at high spatio-temporal resolution.

Package: r-cran-dynamictreecut
Architecture: all
Version: 1.63-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dynamictreecut_1.63-1-1.ca2004.1_all.deb
Size: 91180
MD5sum: e46729492405dc2474fcfdd83d88f468
SHA1: dcd4e265c5ae30b0000c97f4dfef1ceefa4c53c5
SHA256: 0c104858704bbf846fc4fc6d8e3e7c1eb4c4447cf176d5b501da5883616dc5e5
SHA512: 14b680f96398cb3b7485fe7dc563aca26b8b2231f78a8764483c596c600ea6d839cfc63a5102c425de0d33e54e2856dff45ff78715f27814ee71fa1f627a9db2
Homepage: https://cran.r-project.org/package=dynamicTreeCut
Description: CRAN Package 'dynamicTreeCut' (Methods for Detection of Clusters in Hierarchical ClusteringDendrograms)
 Contains methods for detection of clusters in hierarchical clustering
 dendrograms.

Package: r-cran-dynamite
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12487
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-ggforce, r-cran-glue, r-cran-ggplot2, r-cran-loo, r-cran-patchwork, r-cran-posterior, r-cran-rlang, r-cran-rstan, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-mice, r-cran-mockthat, r-cran-quarto, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-dynamite_1.5.6-1.ca2004.1_all.deb
Size: 11038416
MD5sum: 138a8ccaffb729b3468acbe52c4cbd43
SHA1: caa6715a0577f6e23d38c420d56f089fe2d8419c
SHA256: 9974e7c0b520a4a9ea4192c3fdd094670046dc02ad8f052052d512ac425253c0
SHA512: 30381744bc908b5911e01674beb4f29968c87d96a14a801458474152f392589d472d9fb3b3b9aab392cd2986505054de45e2fa63ea0282311f96b1f6e7e39180
Homepage: https://cran.r-project.org/package=dynamite
Description: CRAN Package 'dynamite' (Bayesian Modeling and Causal Inference for MultivariateLongitudinal Data)
 Easy-to-use and efficient interface for Bayesian inference of complex panel
 (time series) data using dynamic multivariate panel models by Helske and
 Tikka (2024) <doi:10.1016/j.alcr.2024.100617>. The package supports joint
 modeling of multiple measurements per individual, time-varying and
 time-invariant effects, and a wide range of discrete and continuous
 distributions.  Estimation of these dynamic multivariate panel models is
 carried out via 'Stan'. For an in-depth tutorial of the package, see (Tikka
 and Helske, 2024) <doi:10.48550/arXiv.2302.01607>.

Package: r-cran-dynarankr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynarankr_1.1.0-1.ca2004.1_all.deb
Size: 113208
MD5sum: cf1487cde969bca2089e1e5cc3edf9b0
SHA1: 72c80715357d6512fe0581baea910cec6527e406
SHA256: e040506b4449017beb7cf81268a077c20d6c1be9f8be6617f78748b074500566
SHA512: 46e49b3e0bee71da9052e95a8037e171916e24b501a8f3afce5c1c73e2bbde00e54d133ec289cfe8e2b9cde2553ee12973c7e7d895e35fca69f14351da7c4b8f
Homepage: https://cran.r-project.org/package=DynaRankR
Description: CRAN Package 'DynaRankR' (Inferring Longitudinal Dominance Hierarchies)
 Provides functions for inferring longitudinal dominance hierarchies, which
 describe dominance relationships and their dynamics in a single latent
 hierarchy over time. Strauss & Holekamp (in press).

Package: r-cran-dynarer
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1785
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-magick
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynarer_0.1.5-1.ca2004.1_all.deb
Size: 395756
MD5sum: ceda860d48511ca1576fa489ba849236
SHA1: 8218f59fd7893c6d43095fc3107c7706f6743cd8
SHA256: c1786d2467ce4d618e91ccf2f4864d62e9031e715bcd82288eca557eb08c32bd
SHA512: 543edf831b96f345f653f0bc67cb089bed1cb749cdc815fecb2d5517f6b28c958d63ec5c974c5e4d8890c58f3113725a3d3df856442facf5725f6086e1735dad
Homepage: https://cran.r-project.org/package=DynareR
Description: CRAN Package 'DynareR' (Bringing the Power of 'Dynare' to 'R', 'R Markdown', and'Quarto')
 It allows running 'Dynare' program from base R, R Markdown and Quarto.
 'Dynare' is a software platform for handling a wide class of economic
 models, in particular dynamic stochastic general equilibrium ('DSGE') and
 overlapping generations ('OLG') models.  This package does not only
 integrate R and Dynare but also serves as a 'Dynare' Knit-Engine for 'knitr'
 package. The package requires 'Dynare' (<https://www.dynare.org/>) and
 'Octave' (<https://www.octave.org/download.html>).  Write all your 'Dynare'
 commands in R or R Markdown chunk.

Package: r-cran-dynaspec
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4361
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seewave, r-cran-tuner, r-cran-png, r-cran-ggplot2, r-cran-viridis, r-cran-scales, r-cran-ari, r-cran-gganimate, r-cran-warbler
Suggests: r-cran-imager, r-cran-fs
Filename: pool/dists/focal/main/r-cran-dynaspec_1.0.3-1.ca2004.1_all.deb
Size: 2760668
MD5sum: 48a56d9dae32dfc1b6a612752f8a3c27
SHA1: be7d5fcd04021cd1f533c7146c642e983b81c1b2
SHA256: a28d46cc1db31fe7131d95a486c7b42bd3ae3875bd3d2d0a7d016b1c7754bc41
SHA512: ee18152963ed1ebe4095792c7fa60342db5764ea89052d427957b004c10f11cc590198d2186826830b99622512145a3f5e3e1dcc10aa3cd8a7cbd13ae13c681b
Homepage: https://cran.r-project.org/package=dynaSpec
Description: CRAN Package 'dynaSpec' (Dynamic Spectrogram Visualizations)
 A set of tools to generate dynamic spectrogram visualizations in video
 format.

Package: r-cran-dynate
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-tidyverse, r-cran-matrix, r-cran-reshape2, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynate_0.1-1.ca2004.1_all.deb
Size: 467604
MD5sum: 3b5323c14d0cc845ea575beeb2265ff2
SHA1: a32662c8d50b856414f7e65aa50cc36582457f6e
SHA256: b1c6b69fc44ae31a68a347183a41ace2ea2d2a64b2ca0949bdb2efd2e3d52802
SHA512: 7d55cb1aaec384e544fe9d64d26bb7ac153ec2abe65bcc349e12830e6ad9056e4a16b1efb12e68d8f1c46e4f9e517f564b59c40eae4e95df54e232b2e5f22fab
Homepage: https://cran.r-project.org/package=DYNATE
Description: CRAN Package 'DYNATE' (Dynamic Aggregation Testing)
 A multiple testing procedure aims to find the rare-variant association
 regions. When variants are rare, the single variant association test
 approach suffers from low power. To improve testing power, the procedure
 dynamically and hierarchically aggregates smaller genome regions to larger
 ones and performs multiple testing for disease associations with a
 controlled node-level false discovery rate. This method are members of the
 family of ancillary information assisted recursive testing introduced in
 Pura, Li, Chan and Xie (2021) <arXiv:1906.07757v2> and Li, Sung and Xie
 (2021) <arXiv:2103.11085v2>.

Package: r-cran-dynatopgis
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-terra, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynatopgis_0.2.5-1.ca2004.1_all.deb
Size: 421016
MD5sum: 9b9896641d1a73b81fc8063c411c25af
SHA1: 51af7b9355de3a66b89c26fd2d1a0e93a2ff34e0
SHA256: 79d7e391f590810a3adbb27889934cba887cfe18d3042dfb47812b5863f6bf49
SHA512: 40b9222859ae80e75782e5c0b6ea20b125fc7cb9ebf9dd4eb2421d9f85c8f11be117e1e22249a73518eb70a69ec06844d595a9a70faf10390e514d3a665a3bf0
Homepage: https://cran.r-project.org/package=dynatopGIS
Description: CRAN Package 'dynatopGIS' (Algorithms for Helping Build Dynamic TOPMODEL Implementationsfrom Spatial Data)
 A set of algorithms based on Quinn et al. (1991)
 <doi:10.1002/hyp.3360050106> for processing river network and digital
 elevation data to build implementations of Dynamic TOPMODEL, a
 semi-distributed hydrological model proposed in Beven and Freer (2001)
 <doi:10.1002/hyp.252>. The 'dynatop' package implements simulation code for
 Dynamic TOPMODEL based on the output of 'dynatopGIS'.

Package: r-cran-dynbiplotgui
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tcltk2
Suggests: r-cran-tkrplot, r-cran-foreign, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-dynbiplotgui_1.1.6-1.ca2004.1_all.deb
Size: 143816
MD5sum: 1525c0df9eb7cb48337710c2d01b761f
SHA1: 8c7554235daa4a5a79a61bd2acdc6ef6692c693c
SHA256: 692c0604bdffc6c1a2b4a086dd48173ce386df95eb21dafed726a5da7ad7715e
SHA512: 9c0b5f861c65f3ae85d95ab3b8d1a3c61d4cf710458f4e8ab6235100c6aee996a5eaabb17dd0ddd7a1310fb1b139f9c0e30d5d693b250b7a615e4320763b29e4
Homepage: https://cran.r-project.org/package=dynBiplotGUI
Description: CRAN Package 'dynBiplotGUI' (Full Interactive GUI for Dynamic Biplot in R)
 A GUI to solve dynamic biplots and classical biplot. Try matrices of 2-way
 and 3-way. The GUI can be run in multiple languages.

Package: r-cran-dynclust
Architecture: all
Version: 3.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dynclust_3.24-1.ca2004.1_all.deb
Size: 619448
MD5sum: d4d4e75696c59e51e141cfe9a168ab80
SHA1: 5fee91e1a848c49fe40108c6f5b44fe508c19a1f
SHA256: 9aa5b9682acbe966980c680a0f72114af226abff0956906b88ce7be73ecfa572
SHA512: 7e8583decd310f9084836cfad4eb083487ef1be1be1c96840d4912dad41ccbdda7e0628079c1aa662da7b7f4fdd7e9628a2de8a3f37f524b8d8263e0c40a3070
Homepage: https://cran.r-project.org/package=DynClust
Description: CRAN Package 'DynClust' (Denoising and Clustering for Dynamical Image Sequence (2D or3D)+t)
 A two-stage procedure for the denoising and clustering of stack of noisy
 images acquired over time. Clustering only assumes that the data contain an
 unknown but small number of dynamic features. The method first denoises the
 signals using local spatial and full temporal information. The clustering
 step uses the previous output to aggregate voxels based on the knowledge of
 their spatial neighborhood. Both steps use a single keytool based on the
 statistical comparison of the difference of two signals with the null
 signal. No assumption is therefore required on the shape of the signals. The
 data are assumed to be normally distributed (or at least follow a symmetric
 distribution) with a known constant variance. Working pixelwise, the method
 can be time-consuming depending on the size of the data-array but harnesses
 the power of multicore cpus.

Package: r-cran-dyncomp
Architecture: all
Version: 0.0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dyncomp_0.0.2-1-1.ca2004.1_all.deb
Size: 13424
MD5sum: 9faa2d2aea4b70f9f6708b4b33a01f1e
SHA1: 693f833bd49acdbd8532b8d4d10ee1039438a6f0
SHA256: ff2a5de624a51ac3be8132dddc785d63f52cec7e4f136037c9fc3d4321246d55
SHA512: 8fb66d98075c945794a3fa030ee247e0794ed42451faed5d71731da64935caa7179d6b5afccf6f0077dabb1890107eef1f7100e94da163d70633ef7fda7744f9
Homepage: https://cran.r-project.org/package=dyncomp
Description: CRAN Package 'dyncomp' (Complexity of Short and Coarse-Grained Time Series)
 While there are many well-established measures for identifying critical
 fluctuations and phase transitions, these measures only work with many
 points of measurement and thus are unreliable when studying short and
 coarse-grained time series. This package provides a measure for complexity
 in a time series that does not rely on long time series (Kaiser (2017),
 <doi:10.17605/OSF.IO/GWTKX>).

Package: r-cran-dyncorr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpridge
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dyncorr_1.1.0-1.ca2004.1_all.deb
Size: 107132
MD5sum: 40b3aef82081763e37aca97976811deb
SHA1: 7eadbf359c0d0682e8bca060ccc24a37ea386900
SHA256: 58f19c90900b8a279373240dce7891fb20b4f85513871074f62db37e46201a76
SHA512: f1d6cdf8badf981388b6c6445471fd88174f0a8974b1bc3ece0d84e44ac0e5c93cb4f515686aff3d67180fb2afb88d66f6f537ce8147655f04975613b143c74e
Homepage: https://cran.r-project.org/package=dynCorr
Description: CRAN Package 'dynCorr' (Dynamic Correlation Package)
 Computes dynamical correlation estimates and percentile bootstrap confidence
 intervals for pairs of longitudinal responses, including consideration of
 lags and derivatives.

Package: r-cran-dyndimred
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dynutils, r-cran-irlba, r-cran-lmds, r-cran-tibble
Suggests: r-cran-testthat, r-cran-diffusionmap, r-cran-fastica, r-cran-igraph, r-cran-lle, r-cran-mass, r-cran-matrix, r-cran-rann, r-cran-rtsne, r-cran-smacof, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-dyndimred_1.0.4-1.ca2004.1_all.deb
Size: 411632
MD5sum: c2571eae64677ece5c84cfe6306fda93
SHA1: 920d83a83be85407e0e2a1dd0b815f8351101fc2
SHA256: 02f7ff3ba27f63f69339565bedafd0e5b8e2607a04d65f6040f9547733090e22
SHA512: 8df3b95e0a451ed43f44180d7dc21981a78d67065a269a1fd2661ceea44d78da47a5b62a0f96660f3bc41b7c9f4d90ae86e9962f2760c0cdebc2e4806696efaf
Homepage: https://cran.r-project.org/package=dyndimred
Description: CRAN Package 'dyndimred' (Dimensionality Reduction Methods in a Common Format)
 Provides a common interface for applying dimensionality reduction methods,
 such as Principal Component Analysis ('PCA'), Independent Component Analysis
 ('ICA'), diffusion maps, Locally-Linear Embedding ('LLE'), t-distributed
 Stochastic Neighbor Embedding ('t-SNE'), and Uniform Manifold Approximation
 and Projection ('UMAP').  Has built-in support for sparse matrices.

Package: r-cran-dynemu
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve, r-cran-plgp, r-cran-mass
Suggests: r-cran-lhs
Filename: pool/dists/focal/main/r-cran-dynemu_1.0.0-1.ca2004.1_all.deb
Size: 46344
MD5sum: 06adeb8fc9b7bb6c22969da74f789800
SHA1: 4a5f5e8a2b512f593c3280a9640c02270149c4e4
SHA256: 0082b2c6a7107be716f62f1270c45351b11a47e6c023c8e4dfc0a59f6306321a
SHA512: fc7e2d2bc55a6c0286c031a7c302b81b67bee6be46233350b78439f82304f2ef93a06c28fd276e72398ec25e41647ea9a4c8c2f64f1623c850b0aa19d4cd521c
Homepage: https://cran.r-project.org/package=dynemu
Description: CRAN Package 'dynemu' (Emulation of Dynamic Simulators via One-Step-Ahead Approach)
 Performs emulation of dynamic simulators using Gaussian process via one-step
 ahead approach. The package implements a flexible framework for
 approximating time-dependent outputs from computationally expensive dynamic
 systems. It is specifically designed for nonlinear dynamic systems where
 full simulations may be costly. The underlying Gaussian process model
 accounts for temporal dependency through the one-step-ahead formulation,
 allowing for accurate emulation of complex dynamics. Hyperparameters are
 estimated via maximum likelihood. See Heo (2025,
 <doi:10.48550/arXiv.2503.20250>) for exact method, and Mohammadi, Challenor,
 and Goodfellow (2019, <doi:10.1016/j.csda.2019.05.006>) for methodological
 details.

Package: r-cran-dynetnlaresistance
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynetnlaresistance_0.1.0-1.ca2004.1_all.deb
Size: 575220
MD5sum: e5c623cc4b6837a9ebac419dcd7924a1
SHA1: 79b64b2ccd13e7b18851330d607c40c629071ef3
SHA256: 639c94667b77d19ba77b858c45a71625db883cdf06ea64202173d644518c27d2
SHA512: b3c33f634c7e3c210a32a8afc97d9ce02f0e47d77f49a254a9b35236055710d21d4fe1ca12cc537d8a0342dad30ba90387b0d47bfed6d15b6c478926cd57f276
Homepage: https://cran.r-project.org/package=dynetNLAResistance
Description: CRAN Package 'dynetNLAResistance' (Resisting Neighbor Label Attack in a Dynamic Network)
 An anonymization algorithm to resist neighbor label attack in a dynamic
 network.

Package: r-cran-dynfeature
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-dynutils, r-cran-dynwrap, r-cran-purrr, r-cran-ranger, r-cran-reshape2, r-cran-testthat, r-cran-tibble
Suggests: r-cran-caret, r-cran-covr
Filename: pool/dists/focal/main/r-cran-dynfeature_1.0.1-1.ca2004.1_all.deb
Size: 411120
MD5sum: 8e2dcaae184c55a03014eb8002b01626
SHA1: 1714d47917a9449f41ba9b5c1402e6958e6d849b
SHA256: 85fe9d7c7e9f442a05b380bdff6a980290f77629dabd14dd6611bd2a85439afa
SHA512: 8897797c4dbd209387990258f35d8f2044a4996b4289f07c93879a5a78916e486bb2e763a22edd6bef1d699013d6d5369d0c81c72940aa9b08ebe83e2a1a1ace
Homepage: https://cran.r-project.org/package=dynfeature
Description: CRAN Package 'dynfeature' (Feature Importance for Dynamic Processes)
 Calculating feature importance scores from trajectories using the random
 forests algorithm and more. Saelens and Cannoodt et al. (2019)
 <doi:10.1038/s41587-019-0071-9>.

Package: r-cran-dynforest
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2536
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-cli, r-cran-cmprsk, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-ggplot2, r-cran-lcmm, r-cran-pbapply, r-cran-pec, r-cran-prodlim, r-cran-stringr, r-cran-survival, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynforest_1.2.0-1.ca2004.1_all.deb
Size: 1549848
MD5sum: 9806a4e61fe39ddcae682641a32a0e47
SHA1: 94c52795868a5498c4ff18da106cfc70f367b3bb
SHA256: b51208ae5e5488ecd02d97f6052aab377bb3ffd77778ab4f60c113dabc51a420
SHA512: 660ef36cd55a8b5049ffb891ebb12c10b2e1e16db3befd25d7a0b512700a8b16425df0058c325b58a91083a5131562f2256fe715b926d3cced0e5f35ad82e2be
Homepage: https://cran.r-project.org/package=DynForest
Description: CRAN Package 'DynForest' (Random Forest with Multivariate Longitudinal Predictors)
 Based on random forest principle, 'DynForest' is able to include multiple
 longitudinal predictors to provide individual predictions.  Longitudinal
 predictors are modeled through the random forest. The methodology is fully
 described for a survival outcome in: Devaux, Helmer, Genuer & Proust-Lima
 (2023) <doi: 10.1177/09622802231206477>.

Package: r-cran-dyngen
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4264
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-dynutils, r-cran-ggplot2, r-cran-ggraph, r-cran-ggrepel, r-cran-gillespiessa2, r-cran-igraph, r-cran-lmds, r-cran-matrix, r-cran-patchwork, r-cran-pbapply, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidygraph, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-anndata, r-cran-covr, r-cran-dynwrap, r-cran-r.rsp, r-cran-rmarkdown, r-cran-seurat, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dyngen_1.0.5-1.ca2004.1_all.deb
Size: 3523000
MD5sum: 21dc1c3a3c0c8c536c50ed18e3f57726
SHA1: 126b932632465c5dbb0c9b5cd219c6d4e4e25c42
SHA256: 8beec6a203382b782cbb9801c43cdabbcaff5b1b49b589f92f9d1488e5fa5091
SHA512: d6fb5aad600508afc87b5c63766ae88800a793b89ecf5e7e74e1640e6c47494237cb4db6d828976a859e6f9757ab208deb2890f5d5f3b76c57705c50bf853105
Homepage: https://cran.r-project.org/package=dyngen
Description: CRAN Package 'dyngen' (A Multi-Modal Simulator for Spearheading Single-Cell OmicsAnalyses)
 A novel, multi-modal simulation engine for studying dynamic cellular
 processes at single-cell resolution. 'dyngen' is more flexible than current
 single-cell simulation engines. It allows better method development and
 benchmarking, thereby stimulating development and testing of novel
 computational methods. Cannoodt et al. (2021)
 <doi:10.1038/s41467-021-24152-2>.

Package: r-cran-dynia
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dynia_0.2-1.ca2004.1_all.deb
Size: 28588
MD5sum: d2645ce32d859ac919e29af44d3a07d8
SHA1: 77695604fb99bd35c93700c404bf044b95cca04c
SHA256: c95a6cd43c02cd59571b56355b2be54472e976dee1cec74bfddaab0b19a19e24
SHA512: f371e1a2cebaf835632d24ec1ebceadf56420f6b70a2dbb9219000e372024ac6b3bc0cd76a594e4e76f3b9fc868c160899c24f4b5122a015ef8774302fe1bac1
Homepage: https://cran.r-project.org/package=dynia
Description: CRAN Package 'dynia' (Fit Dynamic Intervention Model)
 Fit dynamic intervention model using the arima() function.

Package: r-cran-dynlm
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-car, r-cran-lmtest
Suggests: r-cran-sandwich, r-cran-strucchange, r-cran-tsa
Filename: pool/dists/focal/main/r-cran-dynlm_0.3-6-1.ca2004.1_all.deb
Size: 53696
MD5sum: ca94afe02253c3e60642fe14032f77c9
SHA1: 181b614c91400bd0dbc565e26558cd7d5c32c6c3
SHA256: aed290d0a44e87124304423d25722ec276aa8af7f1fbd94382d4e9f63d4ac1ab
SHA512: 485d956b61672c3abfd875e43e5f8c937172791c4ba7e3f5b59511bff61cb633d506229fe3cea9f29ebf7753004cd9a210b194fcfc09761744b2e1ad53f8eeae
Homepage: https://cran.r-project.org/package=dynlm
Description: CRAN Package 'dynlm' (Dynamic Linear Regression)
 Dynamic linear models and time series regression.

Package: r-cran-dynnom
Architecture: all
Version: 5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-shiny, r-cran-ggplot2, r-cran-plotly, r-cran-stargazer, r-cran-dplyr, r-cran-compare, r-cran-bbmisc, r-cran-broom, r-cran-rms, r-cran-survival
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-dynnom_5.1-1.ca2004.1_all.deb
Size: 144460
MD5sum: fbc397a330eb755038dd72e44ce671e7
SHA1: e08d610aa07cacce7e9a25c35a90d977d8afbf72
SHA256: 6260a7977b4916f9a096cad79add746625bb4ec03b1c8da6832e6e90b4c230e3
SHA512: 99a9468960a8e9d35d7f6c634cfbe14354c18ab4c342c082cf72d2322e09b3ece221d1620dace392f851d640a1305364140efe9014cbde5b8f988f8f373416ba
Homepage: https://cran.r-project.org/package=DynNom
Description: CRAN Package 'DynNom' (Visualising Statistical Models using Dynamic Nomograms)
 Demonstrate the results of a statistical model object as a dynamic nomogram
 in an RStudio panel or web browser. The package provides two generics
 functions: DynNom, which display statistical model objects as a dynamic
 nomogram; DNbuilder, which builds required scripts to publish a dynamic
 nomogram on a web server such as the <https://www.shinyapps.io/>. Current
 version of 'DynNom' supports stats::lm, stats::glm, survival::coxph,
 rms::ols, rms::Glm, rms::lrm, rms::cph, and mgcv::gam model objects.

Package: r-cran-dynpanel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-dynpanel_0.1.0-1.ca2004.1_all.deb
Size: 59352
MD5sum: 69be019eff0ad556a24fdff7d79ba705
SHA1: f1b70f7889f7d8b569a401e8ef921488aeb7eb79
SHA256: 4a2cdd5c8cf5a78e68d4e911a61a70138bda046398bd28ba80c1aeca9538c8f7
SHA512: 9d2eb76a22d4828f638226f5c26a961b4bcff7c7f039933f3f9139df0f7d1f571898de0b432e8fb971e40d3d16ec13213097f3ab3ee9daca7f99da7932af613d
Homepage: https://cran.r-project.org/package=dynpanel
Description: CRAN Package 'dynpanel' (Dynamic Panel Data Models)
 Computes the first stage GMM estimate of a dynamic linear model with p lags
 of the dependent variables.

Package: r-cran-dynparam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-carrier, r-cran-dplyr, r-cran-dynutils, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-lhs, r-cran-paramhelpers, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynparam_1.0.2-1.ca2004.1_all.deb
Size: 469480
MD5sum: ea1e30146305cca231621f164cb56c68
SHA1: 94086bcd199fe984e67c63b6e4b0c92075466e4b
SHA256: 20985c9ca4577bb5f6f19902ecfbc3982f4daf8bed9d6fc9ec6463040365faed
SHA512: 93db44573b36e9109a8a82825c0d39c2ca00eff25a345ad92ce37391de972f7a62a037507bb68f84c496ee387f16d155d7275528c491e12783bc3be72eab3a53
Homepage: https://cran.r-project.org/package=dynparam
Description: CRAN Package 'dynparam' (Creating Meta-Information for Parameters)
 Provides tools for describing parameters of algorithms in an abstract way.
 Description can include an id, a description, a domain (range or list of
 values), and a default value. 'dynparam' can also convert parameter sets to
 a 'ParamHelpers' format, in order to be able to use 'dynparam' in
 conjunction with 'mlrMBO'.

Package: r-cran-dynplot
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-dynutils, r-cran-dynfeature, r-cran-dyndimred, r-cran-dynwrap, r-cran-ga, r-cran-ggforce, r-cran-ggraph, r-cran-ggrepel, r-cran-igraph, r-cran-mass, r-cran-patchwork, r-cran-purrr, r-cran-reshape2, r-cran-tibble, r-cran-tidyr, r-cran-tidygraph, r-cran-vipor
Suggests: r-cran-covr, r-cran-hexbin, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rje, r-cran-rmarkdown, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-dynplot_1.1.2-1.ca2004.1_all.deb
Size: 3011568
MD5sum: 37a4582d4fdfcc05480fc7a05fbce8ed
SHA1: 418cf81b0aea295d0d5ea24f54c9f9b8593b3ece
SHA256: 91e774e07fce36a79cb3e3b4ffc48afb94f99bbe8647e345872331587300a3ad
SHA512: cc811fce1af120917c7bc5308abfe07671435165b854ac03d73a2b426aa361ec0d0718501a1ee0611e3566768884b439acfc415c694a75f74f1f8d35750ec749
Homepage: https://cran.r-project.org/package=dynplot
Description: CRAN Package 'dynplot' (Visualising Single-Cell Trajectories)
 Visualise a single-cell trajectory as a graph or dendrogram, as a
 dimensionality reduction or heatmap of the expression data, or a comparison
 between two trajectories as a pairwise scatterplot or dimensionality
 reduction projection. Saelens and Cannoodt et al. (2019)
 <doi:10.1038/s41587-019-0071-9>.

Package: r-cran-dynprog
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynprog_0.1.1-1.ca2004.1_all.deb
Size: 32288
MD5sum: 0577516034354d3051593a7351596159
SHA1: cff9e0e1798773a08d1a6d7cbbdfb6a9dfb8d72b
SHA256: 978458d44d8e779eb4c891da960355846a6ff0db1fd91dc2d65a9fa52f716f12
SHA512: b31ea7852384f1523b22d965f5b3a3473ade3a6f05deeb987328ecf7df2dfd2ef30e148235d5f05e8ee05ec8f0c1e08265b4d052189342f086dd20ae1a601778
Homepage: https://cran.r-project.org/package=dynprog
Description: CRAN Package 'dynprog' (Dynamic Programming Domain-Specific Language)
 A domain-specific language for specifying translating recursions into
 dynamic-programming algorithms. See
 <https://en.wikipedia.org/wiki/Dynamic_programming> for a description of
 dynamic programming.

Package: r-cran-dynrb
Architecture: all
Version: 0.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-corrplot, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-reshape2, r-cran-vegan, r-cran-foreign, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-dynrb_0.18-1.ca2004.1_all.deb
Size: 137200
MD5sum: 08901bbae1791d04147c7ed358f71f42
SHA1: df52ebc20e1926446af850e6b080586d24c51458
SHA256: fd514c128e197aa339310f778032572c259d6129fbc546101a58075c729c66ca
SHA512: dd82e133a37e1165a00adcc73d8b0d82da9cf3da08a02289e633082c058c2d00dd9897d3cb246f0cc224395f1e9a39fdc89fc3d3582fc50d7b46f319405d89fd
Homepage: https://cran.r-project.org/package=dynRB
Description: CRAN Package 'dynRB' (Dynamic Range Boxes)
 Improves the concept of multivariate range boxes, which is highly
 susceptible for outliers and does not consider the distribution of the data.
 The package uses dynamic range boxes to overcome these problems.

Package: r-cran-dynsim
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-mass
Filename: pool/dists/focal/main/r-cran-dynsim_1.2.4-1.ca2004.1_all.deb
Size: 40460
MD5sum: 2fb4b5b085fb5616306d7c3e958de439
SHA1: 070b3b47ea6156c9f842a0280b66dc98b6985185
SHA256: 9cf39cf5dfd36dc3111fab48312fe9127fbb018a9b559cbc2367cd25b890ff36
SHA512: 3c292c1425de4f4621a95e0ad3a35ca7a7e66bf14845208f5eff88d1d3d938b33bef3140e847c635157625d3ce04ed5afe3022a4a4fbdac4c3608be798f84c0b
Homepage: https://cran.r-project.org/package=dynsim
Description: CRAN Package 'dynsim' (Dynamic Simulations of Autoregressive Relationships)
 Dynamic simulations and graphical depictions of autoregressive
 relationships.

Package: r-cran-dyntaper
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-dyntaper_1.1-1.ca2004.1_all.deb
Size: 379780
MD5sum: 4300f1a08746e87a93ee4cc742ed12c8
SHA1: 06d6683bb2ee5e912ee2c5d55fb39f1a4a5063dd
SHA256: 0c7ab657e9c96f6e46054345801d13df6b8c2513f4991c2d0bc87abb73f74865
SHA512: 5751f2549627ac9f8a920c4ac2b88cb438ac8c0fc4ea740e0b87f88a9bb1e60ee7063cb2bb1ce6190429ce33126f8cbb859a867958429d3126d3d7ab674b8d7a
Homepage: https://cran.r-project.org/package=dyntaper
Description: CRAN Package 'dyntaper' (Dynamic Stem Profile Models, AKA Tree Taper Equations)
 Performs calculations with tree taper (or stem profile) equations, including
 model fitting. The package implements the methods from García, O. (2015)
 "Dynamic modelling of tree form"
 <http://mcfns.net/index.php/Journal/article/view/MCFNS7.1_2>.  The models
 are parsimonious, describe well the tree bole shape over its full length,
 and are consistent with wood formation mechanisms through time.

Package: r-cran-dyntxregime
Architecture: all
Version: 4.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1757
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-modelobj, r-cran-kernlab, r-cran-rgenoud, r-cran-dfoptim
Suggests: r-cran-mass, r-cran-rpart, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-dyntxregime_4.16-1.ca2004.1_all.deb
Size: 1289124
MD5sum: 8e0d2f3048ef067748f92aa02fdce62e
SHA1: 2bf15f96141e103c506647fd62854b3ae6fecef1
SHA256: 0540813c024c6eff91397656d21db11094c780e19bb65903f8f3c731b880c58c
SHA512: f9291f97f0d62d50f8daebfa6c686da53ad0f9c66cf98fb163b82e4135e1c068f83c5a0fb4bfe42a62bba3b9e3a25113b0d397dfbb02033c6bdfe94c507f6d55
Homepage: https://cran.r-project.org/package=DynTxRegime
Description: CRAN Package 'DynTxRegime' (Methods for Estimating Optimal Dynamic Treatment Regimes)
 Methods to estimate dynamic treatment regimes using Interactive Q-Learning,
 Q-Learning, weighted learning, and value-search methods based on Augmented
 Inverse Probability Weighted Estimators and Inverse Probability Weighted
 Estimators. Dynamic Treatment Regimes: Statistical Methods for Precision
 Medicine, Tsiatis, A. A., Davidian, M. D., Holloway, S. T., and Laber, E.
 B., Chapman & Hall/CRC Press, 2020, ISBN:978-1-4987-6977-8.

Package: r-cran-dynwrap
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2644
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-babelwhale, r-cran-crayon, r-cran-dplyr, r-cran-dynutils, r-cran-dynparam, r-cran-igraph, r-cran-glue, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-processx, r-cran-readr, r-cran-stringr, r-cran-reshape2, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-covr, r-cran-dyndimred, r-cran-hdf5r, r-cran-knitr, r-cran-pkgload, r-cran-ranger, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dynwrap_1.2.4-1.ca2004.1_all.deb
Size: 2143484
MD5sum: e4bbbf956f65a228f9edbfacdde98484
SHA1: addd160dc3854e154e6eda999662a98d4696869c
SHA256: 4ad50d4cb79f4322cb4fd04b62929c9fff52a1ab53cd0bd0f5484d0b6fea9925
SHA512: d27e8e4a480bd8daf3b978a922ea2d4e89cf94a1262ea03562bdd430138aed70cad41348b3811addfe3c722b34e4db6c4e38f787386e917f90dde1ca09de8b63
Homepage: https://cran.r-project.org/package=dynwrap
Description: CRAN Package 'dynwrap' (Representing and Inferring Single-Cell Trajectories)
 Provides functionality to infer trajectories from single-cell data,
 represent them into a common format, and adapt them. Other biological
 information can also be added, such as cellular grouping, RNA velocity and
 annotation.  Saelens et al. (2019) <doi:10.1038/s41587-019-0071-9>.

Package: r-cran-dysem
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2377
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gt, r-cran-lavaan, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-semplot, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-dysem_1.1.1-1.ca2004.1_all.deb
Size: 1778456
MD5sum: 5338bddceeffc856e5a0cbced000f505
SHA1: fcef7025332e82516ba421d4136ece40016e7b4d
SHA256: 91ebb2385c3ce909f485edd0d2460b87b9ef249e656603744f141daa6bb534d2
SHA512: 0ae4397def640c5cf1e9d26602ec6ff4ce461784da522d3beede8327e0a4d5f64bd2ea973a362e9f638be6ec9ba41d387a6f65f8dd2970cb503c4144d08fb6bd
Homepage: https://cran.r-project.org/package=dySEM
Description: CRAN Package 'dySEM' (Dyadic Structural Equation Modeling)
 Scripting of structural equation models via 'lavaan' for Dyadic Data
 Analysis, and helper functions for supplemental calculations, tabling, and
 model visualization.  Current models supported include Dyadic Confirmatory
 Factor Analysis, the Actor–Partner Interdependence Model (observed and
 latent), the Common Fate Model (observed and latent), Mutual Influence Model
 (latent), and the Bifactor Dyadic Model (latent).

Package: r-cran-dyspiadata
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3867
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-dyspiadata_0.1.2-1.ca2004.1_all.deb
Size: 3926032
MD5sum: 180096467c2c19449565f1ffd1bb5b71
SHA1: 17aa42dc7b374e12b2855e4f1ea76ca9bc8b1bcb
SHA256: 3589e24d5fd2ce934b3cef3499eb7113a3156205b0f9f44f5fe7ace612f241f6
SHA512: e22e0c2a3f46795750eff98281569826fbdcabe4549db6992d3272fab96f43e8d7638c4c6b55e4ba6c0212e6de7feef605cc6d0f2ed2d75189a76ca7e4bd5273
Homepage: https://cran.r-project.org/package=DysPIAData
Description: CRAN Package 'DysPIAData' (Background and Pathway Data Used in 'DysPIA')
 This dataset includes Background and Pathway data used in package 'DysPIA'.

Package: r-cran-e4tools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5009
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-datacombine, r-cran-signal, r-cran-anytime, r-cran-chron, r-cran-data.table, r-cran-ggplot2, r-cran-scales, r-cran-accelerometry, r-cran-hms, r-cran-doparallel, r-cran-dosnow, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-e4tools_0.1.1-1.ca2004.1_all.deb
Size: 3949088
MD5sum: 206b84e111c1c2837346bd9d1d908a0e
SHA1: c8f149ae11d098bf3b6122de48b7bec75383f34c
SHA256: 4ba1c8fab5a53e1ee3d2473682695502de9a98f34c7b820049545a06fc0a7efe
SHA512: 981a01b7a9050b87a033e5692e81390d41ea6f827155a6654f015bc391aef15760a090821fab2bf68fbe41096696e5afb5fd996c1e8773204bc8f4853beb8b35
Homepage: https://cran.r-project.org/package=E4tools
Description: CRAN Package 'E4tools' (Management and Processing Tools for Data Produced by theEmpatica E4)
 Process and manage the data from the Empatica E4. All functions operate on
 the EDA data stream, but other streams will be added soon. The Empatica E4
 is a wearable physiological monitor made by Empatica (Empatica is not
 associated with any of this code). You can find more information about the
 E4 at Empatica's website <https://www.empatica.com/research/e4/>.

Package: r-cran-eadrm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eadrm_0.1.4-1.ca2004.1_all.deb
Size: 47784
MD5sum: f9121ef62afce6ec2b1b3547ba598fdf
SHA1: d563ca10e7a565c0d76caf8848c8b7c29c5c4ed0
SHA256: b28b2fd75cbfd99e462c919218aa4d8c8ddef10ead905d2b67101e7739c47bd0
SHA512: 0721a7ee09daafe5a747a599506dcb3ba83fbe7a2887ec70d1c4b67b377711e47046826dd5eca4793d4467f4427297add7fcea0bde65496c3f7f98b16fdb9590
Homepage: https://cran.r-project.org/package=eadrm
Description: CRAN Package 'eadrm' (Fitting Dose-Response Models Using an Evolutionary Algorithm)
 Fits dose-response models using an evolutionary algorithm to estimate the
 model parameters. The procedure currently can fit 3-parameter, 4-parameter,
 and 5-parameter log-logistic models as well as exponential models. Functions
 are also provided to plot, make predictions, and calculate confidence
 intervals for the resulting models. For details see "Nonlinear Dose-response
 Modeling of High-Throughput Screening Data Using an Evolutionary Algorithm",
 Ma, J., Bair, E., Motsinger-Reif, A.; Dose-Response 18(2):1559325820926734
 (2020) <doi:10.1177/1559325820926734>.

Package: r-cran-eanalytics
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1527
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-energyr, r-cran-googlevis, r-cran-leaflet, r-cran-plotly, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eanalytics_0.3.1-1.ca2004.1_all.deb
Size: 1350236
MD5sum: c9728e8a68cb11fb41fb10732992576e
SHA1: e818e29f2ea6c8ab2f6cf0eed5f45a521b07c37e
SHA256: 6db4e976173aab61a0ccab312be48a99b187ec662ac40cf4f47dae06aaa8fd67
SHA512: b8bde4c36e244161247a2854ea716aea2a6412f24b58294f048f7a2b94f9210f6cb87dd25cf646fe8c62e1aded486e7eb55fa635126c87854e517999e2e4e4e8
Homepage: https://cran.r-project.org/package=eAnalytics
Description: CRAN Package 'eAnalytics' (Dynamic Web-Based Analytics for the Energy Industry)
 A 'Shiny' web application for energy industry analytics.  Take an overview
 of the industry, measure Key Performance Indicators, identify changes in the
 industry over time, and discover new relationships in the data.

Package: r-cran-earlygating
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-betareg, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-earlygating_1.1-1.ca2004.1_all.deb
Size: 95516
MD5sum: f017fc98e2e067dc3d9a4589e5a5d92e
SHA1: 5543761f0dcb97601c944faf9843a369564c28f8
SHA256: a9525bf7e23df6a0328b35da4e38be845479118262a9ebeb5e207c452d0939f0
SHA512: 7b0be5f0aa9cd9c03222abd64a072e24abe5ea3f3e37059647958b11e416b9c0a92af021bc74b8f8f8803d5e48ac9020457d5952d329a398b3b0fdd8bfd2b343
Homepage: https://cran.r-project.org/package=earlygating
Description: CRAN Package 'earlygating' (Properties of Bayesian Early Gating Designs)
 Computes the most important properties of four 'Bayesian' early gating
 designs (two single arm and two randomized controlled designs), such as
 minimum required number of successes in the experimental group to make a GO
 decision, operating characteristics and average operating characteristics
 with respect to the sample size.  These might aid in deciding what design to
 use for the early phase trial.

Package: r-cran-earlyr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-distcrete, r-cran-epiestim, r-cran-epitrix, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-roxygen2, r-cran-incidence, r-cran-knitr, r-cran-rmarkdown, r-cran-projections, r-cran-covr
Filename: pool/dists/focal/main/r-cran-earlyr_0.0.5-1.ca2004.1_all.deb
Size: 315064
MD5sum: 84715b597d28c3560a2a52cf0f4db2c7
SHA1: ba2a69e6bfa27662d49d0e20bd7e129f700821c7
SHA256: e2fcd404b0c9ae59b7c7ddead75bde5da23a7dae7d3308639e976917ebd65408
SHA512: 5abddcc4fa3cbbc9d9ecfcb53a1af34922ceba896cfa3fee026a9caf7c0371172caefdd65279fec818b6043a003ddc27d556a6ab31af6bff4c5d83383202a360
Homepage: https://cran.r-project.org/package=earlyR
Description: CRAN Package 'earlyR' (Estimation of Transmissibility in the Early Stages of a DiseaseOutbreak)
 Implements a simple, likelihood-based estimation of the reproduction number
 (R0) using a branching process with a Poisson likelihood. This model
 requires knowledge of the serial interval distribution, and dates of symptom
 onsets. Infectiousness is determined by weighting R0 by the probability mass
 function of the serial interval on the corresponding day. It is a simplified
 version of the model introduced by Cori et al. (2013)
 <doi:10.1093/aje/kwt133>.

Package: r-cran-earlywarnings
Architecture: all
Version: 1.1.29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1108
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-moments, r-cran-tgp, r-cran-tseries, r-cran-fields, r-cran-nortest, r-cran-quadprog, r-cran-kendall, r-cran-kernsmooth, r-cran-lmtest, r-cran-som, r-cran-spam, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-earlywarnings_1.1.29-1.ca2004.1_all.deb
Size: 494612
MD5sum: 4329b6202f996a512a46a24c059c6acf
SHA1: 7e7bf29da203b03ca2d92fd3ad6122033dc0f0ae
SHA256: ebb9eb0424278fd36a52924279d63ac63ee33190994b1b0315993920f311d6ff
SHA512: 34e1fcc27f183e9755a712e279068a6a6ed7e22e09edbbe8eb725e555a63b0455b7c74f39c8ddd4f0b30fc75b34f612d0e3eef9987115a7c1c8681bfc08ba2e4
Homepage: https://cran.r-project.org/package=earlywarnings
Description: CRAN Package 'earlywarnings' (Early Warning Signals for Critical Transitions in Time Series)
 The Early-Warning-Signals Toolbox provides methods for estimating
 statistical changes in time series that can be used for identifying nearby
 critical transitions.

Package: r-cran-earthdatalogin
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2683
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-openssl, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-rsconnect, r-cran-testthat, r-cran-curl, r-cran-sf, r-cran-fs, r-cran-readr, r-cran-spelling, r-cran-gdalcubes
Filename: pool/dists/focal/main/r-cran-earthdatalogin_0.0.2-1.ca2004.1_all.deb
Size: 2195408
MD5sum: efdf2ae6aea741f4a1663bb25328a09f
SHA1: 329fc593ccc3665c34f2a2efb64bf6b43567b5e9
SHA256: bc7fac4fd32d79e7b16be1ed11e45d9b092057e28ba2fa396ec686c37f203247
SHA512: 8c5823665155c8cdf08a4031d91eb83318c3003930d84a00817fea4a0939a63fd5f1e82dd2e6949e0f920d146af59911b06ad70381dbf965a98beb89eb4414bc
Homepage: https://cran.r-project.org/package=earthdatalogin
Description: CRAN Package 'earthdatalogin' (NASA 'EarthData' Login Utilities)
 Providing easy, portable access to NASA 'EarthData' products through the use
 of bearer tokens. Much of NASA's public data catalogs hosted and maintained
 by its 12 Distributed Active Archive Centers ('DAACs') are now made
 available on the Amazon Web Services 'S3' storage.  However, accessing this
 data through the standard 'S3' API is restricted to only to compute
 resources running inside 'us-west-2' Data Center in Portland, Oregon, which
 allows NASA to avoid being charged data egress rates. This package provides
 public access to the data from any networked device by using the 'EarthData'
 login application programming interface (API),
 <https://www.earthdata.nasa.gov/eosdis/science-system-description/eosdis-components/earthdata-login>,
 providing convenient authentication and access to cloud-hosted NASA
 'EarthData' products. This makes access to a wide range of earth observation
 data from any location straight forward and compatible with R packages that
 are widely used with cloud native earth observation data (such as 'terra',
 'sf', etc.)

Package: r-cran-earthtones
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maptiles, r-cran-terra, r-cran-sf
Suggests: r-cran-testthat, r-cran-cluster, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-earthtones_0.2.0-1.ca2004.1_all.deb
Size: 25152
MD5sum: 18aff46dba17d5a71704e04348ae1f8e
SHA1: 86164db9fc7cb2a321b968908fd363a2dc7c61a1
SHA256: 2f7b1966513c9a840ee768181e13ed898e8d8bf49400ee76ba10161ca487f91f
SHA512: 0dfa107d1a1ec37c437928b50f0d7ace62c7b28eb535b214d73182aed1f40ed5acf64b5970118ff980a675ee975fa02238be08e66e740d2026365ab4bcb251f5
Homepage: https://cran.r-project.org/package=earthtones
Description: CRAN Package 'earthtones' (Derive a Color Palette from a Particular Location on Earth)
 Downloads a satellite image via ESRI and maptiles (these are originally from
 a variety of aerial photography sources), translates the image into a
 perceptually uniform color space, runs one of a few different clustering
 algorithms on the colors in the image searching for a user-supplied number
 of colors, and returns the resulting color palette.

Package: r-cran-easy.glmnet
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-glmnet, r-cran-survival
Suggests: r-cran-proc
Filename: pool/dists/focal/main/r-cran-easy.glmnet_1.0-1.ca2004.1_all.deb
Size: 82812
MD5sum: a3b4f4e0064123256a84b127fcc90c83
SHA1: 0b96f1253cb40e574b2933c92eaeac2db5283e60
SHA256: 2294627bd554407951dc3a8e33e247e9ddc9752a6c3086dd7c6e7dfa0d2c9151
SHA512: 230b591d87588400be3de910319c7bea0c1690d89738b799449dc0394bfeb85bea2b960d25dc6b5e74f4351efc75a1ab84eeaf86501e225822fb06e8ce3d876f
Homepage: https://cran.r-project.org/package=easy.glmnet
Description: CRAN Package 'easy.glmnet' (Functions to Simplify the Use of 'glmnet' for Machine Learning)
 Provides several functions to simplify using the 'glmnet' package:
 converting data frames into matrices ready for 'glmnet'; b) imputing missing
 variables multiple times; c) fitting and applying prediction models
 straightforwardly; d) assigning observations to folds in a balanced way; e)
 cross-validate the models; f) selecting the most representative model across
 imputations and folds; and g) getting the relevance of the model regressors;
 as described in several publications: Solanes et al. (2022)
 <doi:10.1038/s41537-022-00309-w>, Palau et al. (2023)
 <doi:10.1016/j.rpsm.2023.01.001>, Sobregrau et al. (2024)
 <doi:10.1016/j.jpsychores.2024.111656>.

Package: r-cran-easy.utils
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fastmatch, r-cran-rlang, r-cran-scales
Filename: pool/dists/focal/main/r-cran-easy.utils_0.1.0-1.ca2004.1_all.deb
Size: 46124
MD5sum: 38b77c168f31fcfa2e11d0cb0a622bf9
SHA1: 9bf006fbefd66f74c10f252b1559f1c9bf3cc401
SHA256: 78da30e8c985756ba411ac5e0d6fa5add6d3360fcfca292cc1176a5147fdbdc0
SHA512: cc432e52d7a5d30e5156d0303f181647f08d8d1335d680af0ca20692e0612919ecc172a91c60008588733ab047e658c6b4d27d172e8e10f55ccc874fce97989c
Homepage: https://cran.r-project.org/package=easy.utils
Description: CRAN Package 'easy.utils' (Frequently Used Functions for Easy R Programming)
 Some utility functions for validation and data manipulation. These functions
 can be helpful to reduce internal codes everywhere in package development.

Package: r-cran-easyabc
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abc, r-cran-pls, r-cran-mnormt, r-cran-mass, r-cran-lhs, r-cran-tensora
Filename: pool/dists/focal/main/r-cran-easyabc_1.5.2-1.ca2004.1_all.deb
Size: 356288
MD5sum: 7f6f18f8b0ad82bc812f7b7fc369c70b
SHA1: 28f68ab651bd8add9fb931b7b56442769c77bbca
SHA256: e45ee4d2a58ba0e82f8bfd0e57c0df46f8d3efc3c6d51117a7b89f05a04179da
SHA512: a0f6d1f7b31ff82abee2561be123310e3de5823d67e52a49d895e41984852b6471ae611f509379e185251a4404621c0fb42d74352dffb9e582c0652afb632775
Homepage: https://cran.r-project.org/package=EasyABC
Description: CRAN Package 'EasyABC' (Efficient Approximate Bayesian Computation Sampling Schemes)
 Enables launching a series of simulations of a computer code from the R
 session, and to retrieve the simulation outputs in an appropriate format for
 post-processing treatments. Five sequential sampling schemes and three
 coupled-to-MCMC schemes are implemented.

Package: r-cran-easyahp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-easyahp_0.1.1-1.ca2004.1_all.deb
Size: 22792
MD5sum: 0b24d905589ded9f648b220b6b27cf98
SHA1: c89b91b85409d44c552c5a9bea050b96ab5ee800
SHA256: f59d2c9d36f442d19219b13b830484b5e1051fecaa17ee10311cd97e39ff51d1
SHA512: 7c5dde2564ba31ebbbccd9c112e7acee1740fe3fff54f1f64d06bc9d469ab3b64b1e420237c84877f2f9772c41b408aeff246a9c6693fe483278c0279045fd38
Homepage: https://cran.r-project.org/package=easyAHP
Description: CRAN Package 'easyAHP' (Analytic Hierarchy Process (AHP))
 Given the scores from decision makers, the analytic hierarchy process can be
 conducted easily.

Package: r-cran-easyalluvial
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2392
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-progress
Suggests: r-cran-testthat, r-cran-covr, r-cran-islr, r-cran-nycflights13, r-cran-vdiffr, r-cran-pkgdown, r-cran-mlbench, r-cran-earth, r-cran-workflows, r-cran-future, r-cran-furrr, r-cran-e1071, r-cran-caret, r-cran-parsnip, r-cran-vip, r-cran-rpart, r-cran-glmnet, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-easyalluvial_0.3.2-1.ca2004.1_all.deb
Size: 2388932
MD5sum: 3adfb31faff0734bba2fab70197d4259
SHA1: 895d76ab044c2e1a1daea8a7be550c209866c8c1
SHA256: 5f05b6d49223d3f3f5c370068f131a3a485a583a4679526f9d9e8b4cf0db57a2
SHA512: 4ac80b42f381e8820530f766402cb379f0e6966377f8c4842975e8ff4b9524d26da958c0ad7fa2d70184a02df4a1eeb9c1f3909a655863c1d659b607eeeb1efe
Homepage: https://cran.r-project.org/package=easyalluvial
Description: CRAN Package 'easyalluvial' (Generate Alluvial Plots with a Single Line of Code)
 Alluvial plots are similar to sankey diagrams and visualise categorical data
 over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping
 Change in Large Networks. PLoS ONE 5(1): e8694.
 <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit
 more complex then that of a regular x/y plots. The 'ggalluvial' package made
 a great job of translating that grammar into 'ggplot2' syntax and gives you
 many options to tweak the appearance of an alluvial plot, however there
 still remains a multi-layered complexity that makes it difficult to use
 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple
 interface to this package that allows you to produce a decent alluvial plot
 from any dataframe in either long or wide format from a single line of code
 while also handling continuous data. It is meant to allow a quick
 visualisation of entire dataframes with a focus on different colouring
 options that can make alluvial plots a great tool for data exploration.

Package: r-cran-easyanova
Architecture: all
Version: 11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-easyanova_11.0-1.ca2004.1_all.deb
Size: 467380
MD5sum: 2eed34489f6a40e5cf4ff45a6740f9b1
SHA1: 176c082049b9b10dbbb365c57954b60fc8a66db7
SHA256: fe527ab7f5573bbab84067d9a317299ba0e541954adcc1a43b265fe26fe5bdae
SHA512: a85ebe42b938158e8c32c6402193ffafdac27e0bd0d38634e5724ebed89cd94bbb6a4f043c438d481f93ade9d71a9e5c58055e7186c37738443909b556783e9b
Homepage: https://cran.r-project.org/package=easyanova
Description: CRAN Package 'easyanova' (Analysis of Variance and Other Important Complementary Analyses)
 Perform analysis of variance and other important complementary analyses.
 The functions are easy to use.  Performs analysis in various designs, with
 balanced and unbalanced data.

Package: r-cran-easybgm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bdgraph, r-cran-bggm, r-cran-bgms, r-cran-dplyr, r-cran-ggplot2, r-cran-hdinterval, r-cran-igraph, r-cran-qgraph
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-easybgm_0.2.1-1.ca2004.1_all.deb
Size: 150932
MD5sum: d74ff729a70a2d92e301d2b7701429d3
SHA1: 02234a31b2213ed241899b93fb2d4bf86b0cb3ec
SHA256: 266bea9141ee43a0f416988b5433294cfb7737bd5d6b919730b9e7aac8c0f7f1
SHA512: d5482f9c7bb67ac0e743e0b9dfec9da1d7b983101975234ad0724e5832f2168ffb949e5180d9f4dfb311a0190f26296cd200e60eb948508ecc4081f0b80585f8
Homepage: https://cran.r-project.org/package=easybgm
Description: CRAN Package 'easybgm' (Extracting and Visualizing Bayesian Graphical Models)
 Fit and visualize the results of a Bayesian analysis of networks commonly
 found in psychology.  The package supports fitting cross-sectional network
 models fitted using the packages 'BDgraph', 'bgms' and 'BGGM'.  The package
 provides the parameter estimates, posterior inclusion probabilities,
 inclusion Bayes factor, and the posterior density of the parameters. In
 addition, for 'BDgraph' and 'bgms' it allows to assess the posterior
 structure space. Furthermore, the package comes with an extensive suite for
 visualizing results.

Package: r-cran-easybio
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4524
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-httr2, r-cran-r6, r-cran-xml2
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-ggrepel, r-cran-seurat, r-bioc-limma, r-bioc-geoquery, r-bioc-fgsea, r-bioc-edger, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easybio_1.1.1-1.ca2004.1_all.deb
Size: 3853476
MD5sum: 77ad938de32dd0921aa1ed8c96395615
SHA1: 0afd7387aec72007fb7b5eea722683f90926feca
SHA256: d43367880406c866a22aefc49bafbb3d6757d3e4ff058060c84449549308ae8d
SHA512: 5849e06dc54a1bb825400fa2eafafab80bdec16c3ddfd30bd02b82767ec13f8224cfc95166c35a8ea53522c7ba0b421d306a09f8be44afaf99fab0edb6814ec7
Homepage: https://cran.r-project.org/package=easybio
Description: CRAN Package 'easybio' (Comprehensive Single-Cell Annotation and Transcriptomic AnalysisToolkit)
 Provides a comprehensive toolkit for single-cell annotation with the
 'CellMarker2.0' database (see Xia Li, Peng Wang, Yunpeng Zhang (2023) <doi:
 10.1093/nar/gkac947>). Streamlines biological label assignment in
 single-cell RNA-seq data and facilitates transcriptomic analysis, including
 preparation of TCGA<https://portal.gdc.cancer.gov/> and
 GEO<https://www.ncbi.nlm.nih.gov/geo/> datasets, differential expression
 analysis and visualization of enrichment analysis results. Additional
 utility functions support various bioinformatics workflows. See Wei Cui
 (2024) <doi: 10.1101/2024.09.14.609619> for more details.

Package: r-cran-easycensus
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-vctrs, r-cran-pillar, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-censusapi, r-cran-cli
Suggests: r-cran-posterior, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easycensus_1.1.3-1.ca2004.1_all.deb
Size: 440160
MD5sum: ca0cf8d5f8c75f4064c110cf0763841a
SHA1: f74d4280dd834e081d26b00e5a930b0f9c31a9b4
SHA256: 704e87caefe75ef42cf9bfc6d5424e4db4bdcafba272785492d0750f8a35f8f4
SHA512: 1dbe870eaba3072e1bfbb8531420e7f2908ccf57b19fa87e853e0496b048fdc0253a74c4ebaf0ef641d347aaaec31137e57fbccadb4c525a3080aa399d990ba4
Homepage: https://cran.r-project.org/package=easycensus
Description: CRAN Package 'easycensus' (Quickly Find, Extract, and Marginalize U.S. Census Tables)
 Extracting desired data using the proper Census variable names can be
 time-consuming. This package takes the pain out of that process by providing
 functions to quickly locate variables and download labeled tables from the
 Census APIs (<https://www.census.gov/data/developers/data-sets.html>).

Package: r-cran-easyclimate
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-rcurl, r-cran-terra
Suggests: r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easyclimate_0.2.2-1.ca2004.1_all.deb
Size: 35560
MD5sum: 4d8e03e1139d87f0c3dc96fa93ef05ff
SHA1: b9675f29f2a49582cfa53aebe11cc880595c8e68
SHA256: b54562fea991edd8daf5e22b310998cf10eceff704260d44a494f398e4647b59
SHA512: f3176f5c1a4a62b8b74f781a13c3fd80283109f7e042f1ce1abbe2b097a9853e981b830eba36f242818b03bf0128a315c6295d7dbb25fb318213a63a490e8a95
Homepage: https://cran.r-project.org/package=easyclimate
Description: CRAN Package 'easyclimate' (Easy Access to High-Resolution Daily Climate Data for Europe)
 Get high-resolution (1 km) daily climate data (precipitation, minimum and
 maximum temperatures) for points and polygons within Europe.

Package: r-cran-easycoda
Architecture: all
Version: 0.40.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ca, r-cran-vegan, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-easycoda_0.40.2-1.ca2004.1_all.deb
Size: 258304
MD5sum: 8c01765938012711651afd52774aef1f
SHA1: c7e7ce3b4004eaca129bc41d6a12dd0fbfb94298
SHA256: 7a6a78c3d8c59e7177800d396c1329bfb2d8d7de7ab2807eba25789477d7c198
SHA512: abd2259737c2f497d2d3e792d6bf6a8595830da2da847896e65c9f36bfdeec838fd5318e59eafe683ad2020d9400ec493be61bf66f175d36b1d30d8d2b4a68f2
Homepage: https://cran.r-project.org/package=easyCODA
Description: CRAN Package 'easyCODA' (Compositional Data Analysis in Practice)
 Univariate and multivariate methods for compositional data analysis, based
 on logratios. The package implements the approach in the book Compositional
 Data Analysis in Practice by Michael Greenacre (2018), where accent is given
 to simple pairwise logratios. Selection can be made of logratios that
 account for a maximum percentage of logratio variance.  Various multivariate
 analyses of logratios are included in the package.

Package: r-cran-easycsv
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-easycsv_1.0.8-1.ca2004.1_all.deb
Size: 55072
MD5sum: b68d4c92a69d68b53122f3acb8e0d6ac
SHA1: 907cf554dae41e233687e6bcd5d9a3c7578a8fee
SHA256: d119dfc2c5d2fb54cb281dde020340334f97205fcb4ec21e54046d770b0e985a
SHA512: 8c735bce13694cde58c72c5036b07bac17ea1241a22c1f2e4c15a0358fab95462e9357786399a3900c6dbd12a53b62d22b4f230fe65cb020db24c1e0fee27e4b
Homepage: https://cran.r-project.org/package=easycsv
Description: CRAN Package 'easycsv' (Load Multiple 'csv' and 'txt' Tables)
 Allows users to easily read multiple comma separated tables and create a
 data frame under the same name.  Is able to read multiple comma separated
 tables from a local directory, a zip file or a zip file on a remote
 directory.

Package: r-cran-easydb
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-askpass, r-cran-assertthat, r-cran-cli, r-cran-dbi, r-cran-keyring, r-cran-rlang, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easydb_1.1.0-1.ca2004.1_all.deb
Size: 85244
MD5sum: 23d66ddbbae5a5858594b8ae2114ddb7
SHA1: bf5869e7b071c1c3917994b2ce0b767144bb051e
SHA256: 3c924697552b867ff8d68e677c0cc24edc398b856a514fe0417c856aa3fbaa30
SHA512: b7916782682e7db11149c2d57c6a9b9c157d5b7d25e79003e34eb63cd40c1039b0bbf35a49a12a48ecea91707e0f4ee44335ebaf2d9eabe2dd2e1d1b2b4d0fdc
Homepage: https://cran.r-project.org/package=easydb
Description: CRAN Package 'easydb' (Easily Connect to Common Types of Databases)
 A unified interface for connecting to databases ('SQLite', 'MySQL',
 'PostgreSQL').  Just provide the database name and the package will ask you
 questions to help you configure the connection and setup your credentials.
 Once database configuration and connection has been set up once, you won't
 have to do it ever again.

Package: r-cran-easydes
Architecture: all
Version: 6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pmcmrplus, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-easydes_6.0-1.ca2004.1_all.deb
Size: 53144
MD5sum: 9473aa4133981bb9bdbd26101cd7981b
SHA1: 7b40e8bf288ec7f9a1e4e1f926eef3eceeab7c46
SHA256: 9ae334a6feeee6811072024ba7b18ab8b61999659a0257b3fc5179be1f71786b
SHA512: 5b791ba5ec0bc1f6e5a64fc572c2a0017ce5959540923f8c0be2546d8949f3e0af9743fbc0c9a0f3dddeb0ef4271b181db63364784a4d3eab7b2170632ee82ac
Homepage: https://cran.r-project.org/package=easyDes
Description: CRAN Package 'easyDes' (An Easy Way to Descriptive Analysis)
 Descriptive analysis is essential for publishing medical articles.  This
 package provides an easy way to conduct the descriptive analysis.  1. Both
 numeric and factor variables can be handled. For numeric variables,
 normality test will be applied to choose the parametric and nonparametric
 test.  2. Both two or more groups can be handled. For groups more than two,
 the post hoc test will be applied, 'Tukey' for the numeric variables and
 'FDR' for the factor variables.  3. T test, ANOVA or Fisher test can be
 forced to apply.  4. Mean and standard deviation can be forced to display.

Package: r-cran-easydescribe
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1418
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-multica, r-cran-catt, r-cran-gmodels, r-cran-psych, r-cran-rcompanion, r-cran-fsa, r-cran-fitdistrplus, r-cran-nortest, r-cran-clinfun, r-cran-car
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-easydescribe_0.1.2-1.ca2004.1_all.deb
Size: 1123796
MD5sum: 0e1c179fe0183c7e2e768502520ebed8
SHA1: 3ce445b126f65e9934b1dedcb874f4f479ee28a6
SHA256: 149eb9c4a9a5c2dca72052d684f85450a1a97520bf93d2b800d322e005502858
SHA512: 24fb55c5e7eb89639a556e96dbadd070e8636c36336dbe771985ad9b609f9677f94777b8348a0ba5f49d539de0955a37c865d2945b5852375da8be311d339afa
Homepage: https://cran.r-project.org/package=EasyDescribe
Description: CRAN Package 'EasyDescribe' (A Convenient Way of Descriptive Statistics)
 Descriptive Statistics is essential for publishing articles. This package
 can perform descriptive statistics according to different data types. If the
 data is a continuous variable, the mean and standard deviation or median and
 quartiles are automatically output; if the data is a categorical variable,
 the number and percentage are automatically output. In addition, if you
 enter two variables in this package, the two variables will be described and
 their relationships will be tested automatically according to their data
 types. For example, if one of the two input variables is a categorical
 variable, another variable will be described hierarchically based on the
 categorical variable and the statistical differences between different
 groups will be compared using appropriate statistical methods. And for
 groups of more than two, the post hoc test will be applied. For more
 information on the methods we used, please see the following references:
 Libiseller, C. and Grimvall, A. (2002) <doi:10.1002/env.507>, Patefield, W.
 M. (1981) <doi:10.2307/2346669>, Hope, A. C. A. (1968)
 <doi:10.1111/J.2517-6161.1968.TB00759.X>, Mehta, C. R. and Patel, N. R.
 (1983) <doi:10.1080/01621459.1983.10477989>, Mehta, C. R. and Patel, N. R.
 (1986) <doi:10.1145/6497.214326>, Clarkson, D. B., Fan, Y. and Joe, H.
 (1993) <doi:10.1145/168173.168412>, Cochran, W. G. (1954)
 <doi:10.2307/3001616>, Armitage, P. (1955) <doi:10.2307/3001775>, Szabo, A.
 (2016) <doi:10.1080/00031305.2017.1407823>, David, F. B. (1972)
 <doi:10.1080/01621459.1972.10481279>, Joanes, D. N. and Gill, C. A. (1998)
 <doi:10.1111/1467-9884.00122>, Dunn, O. J. (1964)
 <doi:10.1080/00401706.1964.10490181>, Copenhaver, M. D. and Holland, B. S.
 (1988) <doi:10.1080/00949658808811082>, Chambers, J. M., Freeny, A. and
 Heiberger, R. M. (1992) <doi:10.1201/9780203738535-5>, Shaffer, J. P. (1995)
 <doi:10.1146/annurev.ps.46.020195.003021>, Myles, H. and Douglas, A. W.
 (1973) <doi:10.2307/2063815>, Rahman, M. and Tiwari, R. (2012)
 <doi:10.4236/health.2012.410139>, Thode, H. J. (2002)
 <doi:10.1201/9780203910894>, Jonckheere, A. R. (1954) <doi:10.2307/2333011>,
 Terpstra, T. J. (1952) <doi:10.1016/S1385-7258(52)50043-X>.

Package: r-cran-easydifferentialgenecoexpression
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-annotate, r-bioc-biobase, r-bioc-diffcoexp, r-cran-geneexpressionfromgeo, r-bioc-geoquery, r-cran-jetset, r-bioc-limma, r-cran-magrittr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-easydifferentialgenecoexpression_1.4-1.ca2004.1_all.deb
Size: 38424
MD5sum: 74a717c86430088577a055c2e87cad9a
SHA1: 542a10f2d8c534688b16b7be14f117d3d7da0e14
SHA256: cb79a8b8bf6de1f31a3d75e97666b3aa9c4fc116aae7c1fc7d02404cd2e9d520
SHA512: bbed2ba769864d4531d56048fbf5a56b0391ec1523d62fdfb09bae3b58093f9325e740af8f69fd257cfe54926d8d63e48d2cdf4c7370077676c72b3375106ed2
Homepage: https://cran.r-project.org/package=easyDifferentialGeneCoexpression
Description: CRAN Package 'easyDifferentialGeneCoexpression' (Easily Performs Differential Coexpression Analysis)
 A function that reads in the GEO code of a list of probesets or gene
 symbols, a gene expression dataset GEO accession code, the name of the
 dataset feature discriminating the two conditions for the differential
 coexpression, and the values of the two different conditions for the
 differential coexpression, and returns the significant pairs of
 genes/probesets with highest differential coexpression (p-value < 0.005). If
 the input gene list is made of gene symbols, this package associates the
 probesets to these gene symbols, if found.  Platforms available: GPL80,
 GPL8300, GPL80, GPL96, GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104,
 GPL6883, GPL6884, GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene
 Expression Omnibus. ID: identifier code. The GEO datasets are downloaded
 from the URL <https://ftp.ncbi.nlm.nih.gov/geo/series/>.

Package: r-cran-easylabel
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3890
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-ggplot2, r-cran-gtools, r-cran-memoise, r-cran-plotly, r-cran-rcolorbrewer, r-cran-rlang, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinybusy
Suggests: r-bioc-annotationdbi, r-cran-knitr, r-cran-magick, r-bioc-org.hs.eg.db, r-bioc-qvalue, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-easylabel_0.3.3-1.ca2004.1_all.deb
Size: 2553672
MD5sum: dfec4a33bc19f1fbe2d3541b72054d9b
SHA1: 6d1055847fbe7ac93fc1320d9ba13e33a79b029f
SHA256: ce27888d6699ca1a2b9b015f26c86a63f3701337f797dfe9115e219dff6a99e0
SHA512: d10aa639fa4dc78d4bbfe0da7335118edf441ad383973047903e10af7c0b878eea116e5b88aa7cb9bfa038d1c3014c2fb10445fbfb75843d7bfed0d4cc4f4d2d
Homepage: https://cran.r-project.org/package=easylabel
Description: CRAN Package 'easylabel' (Interactive Scatter Plot and Volcano Plot Labels)
 Interactive labelling of scatter plots, volcano plots and Manhattan plots
 using a 'shiny' and 'plotly' interface. Users can hover over points to see
 where specific points are located and click points on/off to easily label
 them. Labels can be dragged around the plot to place them optimally. Plots
 can be exported directly to PDF for publication. For plots with large
 numbers of points, points can optionally be rasterized as a bitmap, while
 all other elements (axes, text, labels & lines) are preserved as vector
 objects. This can dramatically reduce file size for plots with millions of
 points such as Manhattan plots, and is ideal for publication.

Package: r-cran-easymx
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openmx
Suggests: r-cran-rpf
Filename: pool/dists/focal/main/r-cran-easymx_0.3-2-1.ca2004.1_all.deb
Size: 127292
MD5sum: b25e39d359d028562ee0ed8834c5cf74
SHA1: bd9c76056e6425e7027b20c0372d78384a9219a9
SHA256: 736d3f47dd24b3572949fb9daf3e0f6d1facd3c9614faf7477cd4a6064440deb
SHA512: 427ea7865c2a6f7ae065dddb30d3398651a1b10cd6fbf5f6ad96e4ebbf9c5e522b924f5477325d6a346484dd116f9a73d5aac73e218906b3f5e6a86235cb8781
Homepage: https://cran.r-project.org/package=EasyMx
Description: CRAN Package 'EasyMx' (Easy Model-Builder Functions for 'OpenMx')
 Utilities for building certain kinds of common matrices and models in the
 extended structural equation modeling package, 'OpenMx'.

Package: r-cran-easyncdf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ncdf4, r-cran-abind
Filename: pool/dists/focal/main/r-cran-easyncdf_0.1.3-1.ca2004.1_all.deb
Size: 72324
MD5sum: 0c85cfb00a781a0249c3492445a59903
SHA1: 1ceba4401bcf2d3ca607f8e2f9e68299c8e1f617
SHA256: 1a4be222b02cb42ab8e3ecbda77af3e1784d32f4983f60975ffe640e25132fff
SHA512: 82cbe4211a1eb0e1528bd5470fa7b9f33f11465bee9a74f831df3b3da59819cc1bd410b1eb5733953b80b86a507999ec917040a4fed3ad6abe9b71a7ad922546
Homepage: https://cran.r-project.org/package=easyNCDF
Description: CRAN Package 'easyNCDF' (Tools to Easily Read/Write NetCDF Files into/fromMultidimensional R Arrays)
 Set of wrappers for the 'ncdf4' package to simplify and extend its
 reading/writing capabilities into/from multidimensional R arrays.

Package: r-cran-easynls
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-easynls_5.0-1.ca2004.1_all.deb
Size: 51292
MD5sum: 17d2d150f5f57fb0418aeca93e16d047
SHA1: 99039a96be0723cb0027985c9004d45e27e2469d
SHA256: 2526c4144dc33823c45db1d7c06ed14a3783e40d88602569477cffcbb0908750
SHA512: 96a0d8524ee4e1429088ed0f5adb7002e556f3adbb7bb25781e76b348bd4ab12ebfcf4d962f4755d386426c4f5d9bd522b4336a6dcde6da59d25d5029ca440f8
Homepage: https://cran.r-project.org/package=easynls
Description: CRAN Package 'easynls' (Easy Nonlinear Model)
 Fit and plot some nonlinear models.

Package: r-cran-easyortables
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-kableextra, r-cran-mass
Filename: pool/dists/focal/main/r-cran-easyortables_0.0.1-1.ca2004.1_all.deb
Size: 13376
MD5sum: e8320509a4c31beb89df04944e3f70ab
SHA1: 3e9e2d73729a38d8544e334e726bc4ef2d3cca07
SHA256: cc528dd9d9dbf85cdb6b27ed177dd53f87dee986e3cca2dd8ae63ac86cefb9ce
SHA512: c610dde449d399482c9585c0a0cb6dd43f4208ae19cd40d8277a74481d4f0e0c3f66c7256df7fbce082ad9574d79d5811f6b65e1df8fd73b8ecd4ad242221f4b
Homepage: https://cran.r-project.org/package=easyORtables
Description: CRAN Package 'easyORtables' (Easy Odds Ratio Tables)
 Creates text, 'LaTeX', Markdown, or Bootstrap-styled HTML-formatted odds
 ratio tables with confidence intervals for multiple logistic regression
 models.

Package: r-cran-easypackages
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-easypackages_0.1.0-1.ca2004.1_all.deb
Size: 43936
MD5sum: 6743739eda535c43ebd373e0944475df
SHA1: 2bc81b050f353a821a116484c86bd1092d19e8d8
SHA256: e5ce172e5e06ef07d2c78c03b03b453e54f3a739a321cb41bfa6a0f878e269a1
SHA512: 43789892d7900cc3ba1d5724fb7e32200679bfcb54791493204f6f265a51182f62a69e6772a1972cef25e655b25b8a95d11960d72f888f37d5a854f91f4a659b
Homepage: https://cran.r-project.org/package=easypackages
Description: CRAN Package 'easypackages' (Easy Loading and Installing of Packages)
 Easily load and install multiple packages from different sources, including
 CRAN and GitHub. The libraries function allows you to load or attach
 multiple packages in the same function call. The packages function will load
 one or more packages, and install any packages that are not installed on
 your system (after prompting you). Also included is a from_import function
 that allows you to import specific functions from a package into the global
 environment.

Package: r-cran-easypower
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pwr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-easypower_1.0.2-1.ca2004.1_all.deb
Size: 41920
MD5sum: 0dd7a340c67c2f2e8b67d188313babba
SHA1: fee52f15e41131faee9909db0fac36ffe5b6551f
SHA256: f529773fd26ddca5103206e6c4b3d936d2f3102c2cd27d025b67ae56e8c68331
SHA512: c75b51fb24cde375c1e51a7b48b4227ff4b968f03b69d31626398ae6b635018e66779e686eb6289a9c109bfd386e72b24bfdcdfd2a69dadc380aeaaf1cdf2bda
Homepage: https://cran.r-project.org/package=easypower
Description: CRAN Package 'easypower' (Sample Size Estimation for Experimental Designs)
 Power analysis is used in the estimation of sample sizes for experimental
 designs. Most programs and R packages will only output the highest
 recommended sample size to the user. Often the user input can be complicated
 and computing multiple power analyses for different treatment comparisons
 can be time consuming. This package simplifies the user input and allows the
 user to view all of the sample size recommendations or just the ones they
 want to see.  The calculations used to calculate the recommended sample
 sizes are from the 'pwr' package.

Package: r-cran-easypsid
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1929
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-laf, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-easypsid_0.1.2-1.ca2004.1_all.deb
Size: 1198940
MD5sum: 6d4f7bd7a1e4623daf884d36db48f566
SHA1: 1dc1a0d0ee34152dae2c7f7b8a8168833d52ef29
SHA256: 554cb26dbfd9147d542a8022117397842af0fffa95c033adf1a4910b1a24c21f
SHA512: 1da94e5ffae6e2e236c56d33a4f31d11c02bc79909608710ae49f21ce33cfd39a326430dfed3aaeba77906b5632160e1c8f158918630fd01682f6845e7eb9041
Homepage: https://cran.r-project.org/package=easyPSID
Description: CRAN Package 'easyPSID' (Reading, Formatting, and Organizing the Panel Study of IncomeDynamics (PSID))
 Provides various functions for reading and preparing the Panel Study of
 Income Dynamics (PSID) for longitudinal analysis, including functions that
 read the PSID's fixed width format files directly into R, rename all of the
 PSID's longitudinal variables so that recurring variables have consistent
 names across years, simplify assembling longitudinal datasets from cross
 sections of the PSID Family Files, and export the resulting PSID files into
 file formats common among other statistical programming languages ('SAS',
 'STATA', and 'SPSS').

Package: r-cran-easypubmed
Architecture: all
Version: 2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1259
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-easypubmed_2.13-1.ca2004.1_all.deb
Size: 682792
MD5sum: deaf348c2930adcb91b6f96ed01d7a2f
SHA1: 867715b1de65aecb7980df2008bf8bf87bd844ca
SHA256: 0c9265e7bb2cbcd3184461428abd939336a199265983dbba6410f3aebc45e0f8
SHA512: 921b4e7a91ed9df40e1591a211bd63cc9df6fa91f86800a21823b522f7627308ba75d07c36b3cd7953d24cc7806380e28580a3f385822c61a264029fa0ef34e1
Homepage: https://cran.r-project.org/package=easyPubMed
Description: CRAN Package 'easyPubMed' (Search and Retrieve Scientific Publication Records from PubMed)
 Query NCBI Entrez and retrieve PubMed records in XML or text format. Process
 PubMed records by extracting and aggregating data from selected fields. A
 large number of records can be easily downloaded via this simple-to-use
 interface to the NCBI PubMed API.

Package: r-cran-easyr
Architecture: all
Version: 0.5-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-digest, r-cran-dplyr, r-cran-foreign, r-cran-glue, r-cran-hmisc, r-cran-lubridate, r-cran-readxl, r-cran-rlang, r-cran-rprojroot, r-cran-stringr, r-cran-xml
Suggests: r-cran-pdftools, r-cran-qs, r-cran-rstudioapi, r-cran-testthat, r-cran-readxlsb
Filename: pool/dists/focal/main/r-cran-easyr_0.5-11-1.ca2004.1_all.deb
Size: 288196
MD5sum: bd7a93dddd9bb6f5d2e52b956a51b3f9
SHA1: 350f279fda89a89ca2a9caa71aeb0b5bbfe99128
SHA256: f0d6b811d695b517f7a93848a57ae9ad9e40a06984a629159acc320dc84c552a
SHA512: 1e9a15fdd7bc800e074dd642f789ace1e951d00d3c8e94da461464827afc0c732082cd6655f44743595c8566d192b37fc6eb229f7168343a69ed4ccb3a22e89a
Homepage: https://cran.r-project.org/package=easyr
Description: CRAN Package 'easyr' (Helpful Functions from Oliver Wyman Actuarial Consulting)
 Makes difficult operations easy. Includes these types of functions:
 shorthand, type conversion, data wrangling, and work flow.  Also includes
 some helpful data objects: NA strings, U.S. state list, color blind charting
 colors.  Built and shared by Oliver Wyman Actuarial Consulting. Accepting
 proposed contributions through GitHub.

Package: r-cran-easyreg
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-easyreg_4.0-1.ca2004.1_all.deb
Size: 277492
MD5sum: 98db7f9bde1deadb61529ffc70491cb0
SHA1: 5e41cd734628ae8316b4ea271554282f51ec7ce8
SHA256: da54984794bd39a1fa5a6124c75fd7712dbd5aab41eeed0d404286b214cfa8cd
SHA512: bed4b7c4679f5a7a80d493340e6c3c69243e597fb7f3b351b136d945569e3e10e93c15a382b5a1cd66e0e32f29db020d385ee89376329355c8b0b1a48b7c9c63
Homepage: https://cran.r-project.org/package=easyreg
Description: CRAN Package 'easyreg' (Easy Regression)
 Performs analysis of regression in simple designs with quantitative
 treatments, including mixed models and non linear models.

Package: r-cran-easysdctable
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ssbtools, r-cran-sdctable, r-cran-shiny, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-regsdc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easysdctable_1.1.1-1.ca2004.1_all.deb
Size: 167120
MD5sum: a3e6c308e156fee3986c03a23ff041d3
SHA1: e2b25c3fa44c21bf2a0291fb7eeedb30ee4a8117
SHA256: c9344668b64530d6409606549920782a1011be609d54c3014386e77ca73d5680
SHA512: edc560a2a902df11595c5a28a36f2c58ead74c54101499b1205ac1dcfcd044d89befed2476167745f26dda5c624b8d4bbaffcf7cb2342f8565973f2863bcdac4
Homepage: https://cran.r-project.org/package=easySdcTable
Description: CRAN Package 'easySdcTable' (Easy Interface to the Statistical Disclosure Control Package'sdcTable' Extended with Own Implementation of'GaussSuppression')
 The main function, ProtectTable(), performs table suppression according to a
 frequency rule with a data set as the only required input. Within this
 function, protectTable(), protect_linked_tables() or runArgusBatchFile() in
 package 'sdcTable' is called.  Lists of level-hierarchy (parameter
 'dimList') and other required input to these functions are created
 automatically.  The suppression method Gauss (default) is implemented
 independently of 'sdcTable'.  The function, PTgui(), starts a graphical user
 interface based on the 'shiny' package.

Package: r-cran-easysimdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-simdata, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-easysimdata_0.1.0-1.ca2004.1_all.deb
Size: 77044
MD5sum: 4cff59ea844af07bae240deda1792e25
SHA1: 2e1eb8e85d6b1d83d027e7802e045f97ce972868
SHA256: e717741ee7902254eb040a6e2dd0be5d74bad6664038cc5944bf3bb792356e9f
SHA512: e5d8c8e832b4d0c4f224627dcd794f3c216d7c55b932c5647744b726c6f4652cfc0ce8fbff38da196d4322e2c9ea11f63a1cf5556a79f02a9fdb104bed9a192a
Homepage: https://cran.r-project.org/package=easySimData
Description: CRAN Package 'easySimData' (A Wrapper of 'simdata' Package)
 Simulating data according to marginal distributions and pairwise
 correlation. This is a wrapper for the 'simdata' package to make it easier
 to use.

Package: r-cran-easystats
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-correlation, r-cran-datawizard, r-cran-effectsize, r-cran-insight, r-cran-modelbased, r-cran-parameters, r-cran-performance, r-cran-report, r-cran-see
Suggests: r-cran-collapse, r-cran-dharma, r-cran-dt, r-cran-flexdashboard, r-cran-formula, r-cran-ggplot2, r-cran-glmmtmb, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-marginaleffects, r-cran-mockery, r-cran-pak, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-easystats_0.7.4-1.ca2004.1_all.deb
Size: 1039368
MD5sum: 420d69852aa1882dd3b1bb2f9d487035
SHA1: 0e1cd46185cf224cc4bb9d68642a502fd27c3ab2
SHA256: 76ad0f32a01b0d913153dd8767037209982b806b45739312b5fbdf8a97b5251f
SHA512: 604b4ea31dad7f3abd1b0bfff42a800ec1fa2d4ece4e964594213062f66bdda9a98339ec291f68ba0104af5595c6ef2391b19378ec217b3164ede592f23f3438
Homepage: https://cran.r-project.org/package=easystats
Description: CRAN Package 'easystats' (Framework for Easy Statistical Modeling, Visualization, andReporting)
 A meta-package that installs and loads a set of packages from 'easystats'
 ecosystem in a single step. This collection of packages provide a unifying
 and consistent framework for statistical modeling, visualization, and
 reporting. Additionally, it provides articles targeted at instructors for
 teaching 'easystats', and a dashboard targeted at new R users for easily
 conducting statistical analysis by accessing summary results, model fit
 indices, and visualizations with minimal programming.

Package: r-cran-easysurv
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bshazard, r-cran-censored, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-flexsurv, r-cran-flexsurvcure, r-cran-ggplot2, r-cran-ggsurvfit, r-cran-openxlsx, r-cran-parsnip, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-survival, r-cran-tibble, r-cran-tidyr, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-easysurv_2.0.1-1.ca2004.1_all.deb
Size: 657080
MD5sum: ae008f2fe22f2f2f12143cd056636f0e
SHA1: f75327ced56cf61dab592b1feeee6875e9eb0942
SHA256: 68de4ffbcacce9e2d124570463e20f6371ac1294bf299eae06a57cf9b742a32e
SHA512: 6bae72f979b119ab640f156204187ee4019ddf9f662a53ceb2a0975a6908dd315ea5450a8bb0ac5811d337d70120902484be971ca0af73e8f063c70a39260d3c
Homepage: https://cran.r-project.org/package=easysurv
Description: CRAN Package 'easysurv' (Simplify Survival Data Analysis and Model Fitting)
 Inspect survival data, plot Kaplan-Meier curves, assess the proportional
 hazards assumption, fit parametric survival models, predict and plot
 survival and hazards, and export the outputs to Excel.  A simple interface
 for fitting survival models using 'flexsurv::flexsurvreg()',
 'flexsurv::flexsurvspline()', 'flexsurvcure::flexsurvcure()', and
 'survival::survreg()'.

Package: r-cran-easysvg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-easysvg_0.1.0-1.ca2004.1_all.deb
Size: 64984
MD5sum: 4ebec0619fecca1f7102987e780a3e17
SHA1: 0614e4c45de8db28f3cd811c608a8178b1f80505
SHA256: b1641a60fb3a311fa1acc69ca70807321401f31a6ebce4fdea54f7d8b8f7f0c3
SHA512: 0c9126331e1c8a649b59e8ef922159b0dd824cdc72fccb81bfe5274a3bdb31cf680c96099a1d2f3dc012068d961b3e50c96cfb3216d96c42d529079596583d95
Homepage: https://cran.r-project.org/package=easySVG
Description: CRAN Package 'easySVG' (An Easy SVG Basic Elements Generator)
 This SVG elements generator can easily generate SVG elements such as rect,
 line, circle, ellipse, polygon, polyline, text and group. Also, it can
 combine and output SVG elements into a SVG file.

Package: r-cran-easywechat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-easywechat_0.2.0-1.ca2004.1_all.deb
Size: 12692
MD5sum: 1d70fd0dece805991e6bded7fe8282cc
SHA1: 24336e65bbd9a5e816eca5779fcaf708c24f1eee
SHA256: 298e0ec464f2e42295b9a8ad2610d0bdc25446ddf86bb8a5d21a4483d7b5554f
SHA512: 91143125fff861b38b4368fcbfaf7211fcec50275c193dcac091572d564acdc68efd88dac78794a460737d2f479fa1e307471359fa89673f84242b5cc5eef5b0
Homepage: https://cran.r-project.org/package=easyWechat
Description: CRAN Package 'easyWechat' (A Notifier for R Users by 'WeChat')
 This is a 'WeChat' Notifier for R users to notice when script run complete.

Package: r-cran-eat
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 827
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-conflicted, r-cran-ggplot2, r-cran-ggparty, r-cran-partykit, r-cran-ggrepel, r-cran-rdpack, r-cran-lpsolveapi, r-cran-reshape2
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-kableextra, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-eat_0.1.4-1.ca2004.1_all.deb
Size: 513472
MD5sum: c6e0c07469e3834c1f3534f45f1d03b9
SHA1: 8252f2e922c5933b98c048cf33c8b4e8be17bdf8
SHA256: feece6473b720e22d2f491cad9b40bb19211b5db838476e9f6db0fe39093d9f3
SHA512: 784c7650fdcc867c3fd797e09f8d171b8eb5d9f71b58a0a232498ccab50e1e43b06d3d85c411d965b3d2d9c64069cb55c7eda99da57b77f8b14f0295298ec345
Homepage: https://cran.r-project.org/package=eat
Description: CRAN Package 'eat' (Efficiency Analysis Trees)
 Functions are provided to determine production frontiers and technical
 efficiency measures through non-parametric techniques based upon regression
 trees.  The package includes code for estimating radial input, output,
 directional and additive measures, plotting graphical representations of the
 scores and the production frontiers by means of trees, and determining
 rankings of importance of input variables in the analysis. Additionally, an
 adaptation of Random Forest by a set of individual Efficiency Analysis Trees
 for estimating technical efficiency is also included. More details in:
 <doi:10.1016/j.eswa.2020.113783>.

Package: r-cran-eatata
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-rglpk, r-cran-mathjaxr, r-cran-lpsolve
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-readxl, r-cran-rsymphony
Filename: pool/dists/focal/main/r-cran-eatata_1.1.2-1.ca2004.1_all.deb
Size: 232668
MD5sum: 4e27fbd9a66b322408f1f92e1be61bb7
SHA1: 3b2afe72f5b9fe4f09659d3e6da2ad4aa2a39df2
SHA256: 5a281452e0fca9150cabf7637daa7a432936d3da0060253615a44c31efac4d50
SHA512: f48fe106fa5489d89bb0d49985200514254da2ae7a5c8ec47a6e648139ade63cc0865d66b6a34ed3532f5653d6b3c5c3079de0d0158f4883c94bf9d06f4b9fbd
Homepage: https://cran.r-project.org/package=eatATA
Description: CRAN Package 'eatATA' (Create Constraints for Small Test Assembly Problems)
 Provides simple functions to create constraints for small test assembly
 problems (e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse
 matrices. Currently, 'GLPK', 'lpSolve', 'Symphony', and 'Gurobi' are
 supported as solvers. The 'gurobi' package is not available from any
 mainstream repository; see <https://www.gurobi.com/downloads/>.

Package: r-cran-eatdb
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rsqlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eatdb_0.5.0-1.ca2004.1_all.deb
Size: 53772
MD5sum: 281ce47a5692d5c673cea39a460782a3
SHA1: 2f8aa0a6520b98569f5e416669594e7f5af65c0b
SHA256: 2f61c7376595f1d50ec511a8e01577cb807570151acb1afb5036fc48f4aa7492
SHA512: 1714410f6eed12215686ea1a88ed0e6935c59d93a54405b4e2ddda047be718da410c58dd237435e9ba66eb359bcf7281356960c51e5b0dda3e09be39f30efda5
Homepage: https://cran.r-project.org/package=eatDB
Description: CRAN Package 'eatDB' (Spreadsheet Interface for Relational Databases)
 Use 'SQLite3' as a database system via a complete SQL free R interface,
 treating the data as if it was a single spreadsheet.

Package: r-cran-eatgads
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-eatdb, r-cran-haven, r-cran-plyr, r-cran-eattools, r-cran-tibble, r-cran-data.table, r-cran-hms, r-cran-stringi
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-eatgads_1.2.0-1.ca2004.1_all.deb
Size: 1054076
MD5sum: b220004690a19a1fac582f63e71e2304
SHA1: be914f979709bf41deba6020a4846b3d9b8831e2
SHA256: e01ea36fa07f7bd43806fb0ea814c14e6d4db53f93fd95dafbf145d774906c1b
SHA512: 4e24e823a2360337fcd71d293b673615bb8331868c50f7faac8bfbcbaff48c0ba80a6e4a9d20ce4839cb0ffd8fdbe25de444fc02eec9ad28043c431005bce979
Homepage: https://cran.r-project.org/package=eatGADS
Description: CRAN Package 'eatGADS' (Data Management of Large Hierarchical Data)
 Import 'SPSS' data, handle and change 'SPSS' meta data, store and access
 large hierarchical data in 'SQLite' data bases.

Package: r-cran-eatme
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-qcr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eatme_0.1.0-1.ca2004.1_all.deb
Size: 82712
MD5sum: dffdac5b2887a7cf497cfb53dc32d524
SHA1: 283676674ea7a6a8f636a90cf4a8ca832b9fbe61
SHA256: 4dd2e658ec9bf5a27fc2b9a09b844bd0361ecdebc348eac0b0dcae04e3b8c75e
SHA512: 6c0a663a6b3df169ec33ef6eb8f84fe9484e92965447bfa470dcd7065413b04b61488de12ffd75c90b1e22bf6e6e71a875c1d98559ca22ccc55f3ff6d61e1ad0
Homepage: https://cran.r-project.org/package=EATME
Description: CRAN Package 'EATME' (Exponentially Weighted Moving Average with Adjustments toMeasurement Error)
 The univariate statistical quality control tool aims to address measurement
 error effects when constructing exponentially weighted moving average p
 control charts. The method primarily focuses on binary random variables, but
 it can be applied to any continuous random variables by using sign statistic
 to transform them to discrete ones. With the correction of measurement error
 effects, we can obtain the corrected control limits of exponentially
 weighted moving average p control chart and reasonably adjusted
 exponentially weighted moving average p control charts. The methods in this
 package can be found in some relevant references, such as Chen and Yang
 (2022) <arXiv: 2203.03384>; Yang et al. (2011) <doi:
 10.1016/j.eswa.2010.11.044>; Yang and Arnold (2014) <doi:
 10.1155/2014/238719>; Yang (2016) <doi: 10.1080/03610918.2013.763980> and
 Yang and Arnold (2016) <doi: 10.1080/00949655.2015.1125901>.

Package: r-cran-eatrep
Architecture: all
Version: 0.15.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1456
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-bifiesurvey, r-cran-progress, r-cran-lavaan, r-cran-hmisc, r-cran-fmsb, r-cran-mice, r-cran-boot, r-cran-car, r-cran-reshape2, r-cran-plyr, r-cran-combinat, r-cran-miceadds, r-cran-tidyr, r-cran-effectliter, r-cran-estimatr, r-cran-eattools, r-cran-eatgads, r-cran-janitor, r-cran-msm, r-cran-lme4, r-cran-checkmate, r-cran-lifecycle, r-cran-dplyr, r-cran-future
Suggests: r-cran-weights, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-eatrep_0.15.2-1.ca2004.1_all.deb
Size: 1214316
MD5sum: eda48671326d1ce0dbc059a1e972c8af
SHA1: 00032e131831a5e0cba99a680282b5d19ea00ad7
SHA256: e199859deaffcfe7e8bd80138255cecab0402768bf44a1f80786d95dc8b55b21
SHA512: 0a2e25228eb5c03f26b53575d43fbe48dbc92dd6502d08ea2531836829d86ce64b27afd9da64eb0637177a04338ab45c6033c971faaba3b628d586a2e7c135dc
Homepage: https://cran.r-project.org/package=eatRep
Description: CRAN Package 'eatRep' (Educational Assessment Tools for Replication Methods)
 Replication methods to compute some basic statistic operations (means,
 standard deviations, frequency tables, percentiles, mean comparisons using
 weighted effect coding, generalized linear models, and linear multilevel
 models) in complex survey designs comprising multiple imputed or nested
 imputed variables and/or a clustered sampling structure which both deserve
 special procedures at least in estimating standard errors. See the package
 documentation for a more detailed description along with references.

Package: r-cran-eattools
Architecture: all
Version: 0.7.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-stringi, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-eattools_0.7.8-1.ca2004.1_all.deb
Size: 251160
MD5sum: ca544f01118e5274e47d889be9847ed5
SHA1: 2bae0def796100424571baf6c253b251636c83fe
SHA256: 3e0d646b947a8738dab58e75f2c9dcdc5be300dd0dc4dc85e6d4e12d74f9c0d2
SHA512: 3200d74fc59cbbaeb07b49a6f38c7891cc4254fce312f574b38313ad197060c6f5f464860e8137a78fe913f86b612060917c60e909a9dcd3568350dc438af992
Homepage: https://cran.r-project.org/package=eatTools
Description: CRAN Package 'eatTools' (Miscellaneous Functions for the Analysis of EducationalAssessments)
 Miscellaneous functions for data cleaning and data analysis of educational
 assessments. Includes functions for descriptive analyses, character vector
 manipulations and weighted statistics. Mainly a lightweight dependency for
 the packages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which will be
 subsequently submitted to 'CRAN').  The function for defining (weighted)
 contrasts in weighted effect coding refers to te Grotenhuis et al. (2017)
 <doi:10.1007/s00038-016-0901-1>.  Functions for weighted statistics refer to
 Wolter (2007) <doi:10.1007/978-0-387-35099-8>.

Package: r-cran-eava
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 769
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringi, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eava_1.0.0-1.ca2004.1_all.deb
Size: 297380
MD5sum: 06adf7a299dd234bdfa9173197e5476e
SHA1: 6dc4777fa7bc8f352a2713256689b21726383a91
SHA256: 10f184f845f9be48d1c5db0cc47268237386cc5018f43bd00e204ee8822b3124
SHA512: a4790c9f371729864abef09af208c33214bd630d503a341c3744fefbc6f4a8c44182b8e347e98c32c9fbb72031a5639a558d7f8945e7aef491d92af7175e4b88
Homepage: https://cran.r-project.org/package=EAVA
Description: CRAN Package 'EAVA' (Deterministic Verbal Autopsy Coding with Expert Algorithm VerbalAutopsy)
 Expert Algorithm Verbal Autopsy assigns causes of death to 2016 WHO Verbal
 Autopsy Questionnaire data. odk2EAVA() converts data to a standard input
 format for cause of death determination building on the work of Thomas
 (2021) <https://cran.r-project.org/src/contrib/Archive/CrossVA/>. codEAVA()
 uses the presence and absence of signs and symptoms reported in the Verbal
 Autopsy interview to diagnose common causes of death. A deterministic
 algorithm assigns a single cause of death to each Verbal Autopsy interview
 record using a hierarchy of all common causes for neonates or children 1 to
 59 months of age.

Package: r-cran-eba
Architecture: all
Version: 1.10-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-psychotools
Filename: pool/dists/focal/main/r-cran-eba_1.10-1-1.ca2004.1_all.deb
Size: 233804
MD5sum: 2a6f47b629ff6b41b47501cf61ec2718
SHA1: f9a101a2de011aeb2d7ad5c4137cbbdbf17add69
SHA256: 2b351c60a4e62b28a96def7dba5b4db960caea8b0871a3fef6b352e9cb727807
SHA512: 1861eb5ad0bf4bc3e9a046ddfb69874eff9fc6466daa238447bb91900bb19aa095a190a6266d3c65efcd1187d44827050dd4652ea866fad7841267e4d2bb488d
Homepage: https://cran.r-project.org/package=eba
Description: CRAN Package 'eba' (Elimination-by-Aspects Models)
 Fitting and testing multi-attribute probabilistic choice models, especially
 the Bradley-Terry-Luce (BTL) model (Bradley & Terry, 1952
 <doi:10.1093/biomet/39.3-4.324>; Luce, 1959), elimination-by-aspects (EBA)
 models (Tversky, 1972 <doi:10.1037/h0032955>), and preference tree (Pretree)
 models (Tversky & Sattath, 1979 <doi:10.1037/0033-295X.86.6.542>).

Package: r-cran-ebal
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ebal_0.1-8-1.ca2004.1_all.deb
Size: 44112
MD5sum: dfe31e7bb0c598e71fb4770f99e2577a
SHA1: 2d42c36ddf4b76f983c9a370b6c92c22c16e5935
SHA256: 38cc9d3faa380a2583ae031a5ad3e5f317f82890f7029038be006d9036cb63a1
SHA512: 314031a61c8314032a4361a051f3f9caf039d645c3f20cecd1ceae0aea37eaa18819e866671aee4fd9619122379418c88ff4069f9893c46dd2de7582c1fb6c76
Homepage: https://cran.r-project.org/package=ebal
Description: CRAN Package 'ebal' (Entropy Reweighting to Create Balanced Samples)
 Package implements entropy balancing, a data preprocessing procedure
 described in Hainmueller (2008, <doi:10.1093/pan/mpr025>) that allows users
 to reweight a dataset such that the covariate distributions in the
 reweighted data satisfy a set of user specified moment conditions. This can
 be useful to create balanced samples in observational studies with a binary
 treatment where the control group data can be reweighted to match the
 covariate moments in the treatment group. Entropy balancing can also be used
 to reweight a survey sample to known characteristics from a target
 population.

Package: r-cran-ebase
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2397
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-lubridate, r-cran-r2jags, r-cran-rjags, r-cran-tidyr, r-cran-truncnorm, r-cran-zoo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ebase_1.1.0-1.ca2004.1_all.deb
Size: 799776
MD5sum: e32cc4623d14994700d53068fb1579ea
SHA1: 57623d5e2bff23290381524efbf04e6cc34c9376
SHA256: b46a79b485978ef7d04a7b9762e2e92b09b8ed811794d968b204c4c790c8e148
SHA512: 3494d1b55c05be8896b4dc28d408eb0a19ddaddf89aa8e284ee817cb5c30067cae8d27a7f5dc036131f53e66efdd6c8d5395f0d4a43434f305374c011d5c3d25
Homepage: https://cran.r-project.org/package=EBASE
Description: CRAN Package 'EBASE' (Estuarine Bayesian Single-Station Estimation Method forEcosystem Metabolism)
 Estimate ecosystem metabolism in a Bayesian framework for individual water
 quality monitoring stations with continuous dissolved oxygen time series. A
 mass balance equation is used that provides estimates of parameters for
 gross primary production, respiration, and gas exchange. Methods adapted
 from Grace et al. (2015) <doi:10.1002/lom3.10011> and Wanninkhof (2014)
 <doi:10.4319/lom.2014.12.351>.  Details in Beck et al. (2024)
 <doi:10.1002/lom3.10620>.

Package: r-cran-ebass
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ebass_0.1-1.ca2004.1_all.deb
Size: 461964
MD5sum: 82d4c78ecd54d3e1667a9e48356379cb
SHA1: ffd0544c8caf4072f15ba05f217a4c90165bc207
SHA256: 6fe695349cc60d907a81fea3f7dcc752efdaed123a9ecfacf35c9d4b2020c620
SHA512: 4d6fda6173d939369f703620600422c2d0a0e12e45900b625e0a431f55d72a7fbf4f0fd3a488b7e26f06772063c1c043071ef506f86086ddf7afb49195e99a65
Homepage: https://cran.r-project.org/package=EBASS
Description: CRAN Package 'EBASS' (Sample Size Calculation Method for Cost-Effectiveness StudiesBased on Expected Value of Perfect Information)
 We propose a new sample size calculation method for trial-based
 cost-effectiveness analyses. Our strategy is based on the value of perfect
 information that would remain after the completion of the study.

Package: r-cran-ebayesthresh
Architecture: all
Version: 1.4-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 936
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavethresh
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ebayesthresh_1.4-12-1.ca2004.1_all.deb
Size: 771176
MD5sum: d0a143efac7dace9095914ea71466cc8
SHA1: db137fec4e01cc6825bf4342b8c697b99ff9690b
SHA256: d45f5636968736b92b25195129cc78140e23d0670472444ec8036c48d1ecacfe
SHA512: 919d54d94d415f0a76d0098ebc7a63f4f3aa540751b6f82d20bfd03695e70801ea401a589c6bb01e19ebcb65d96e112ddf236633143d7175c68b442fc9d21068
Homepage: https://cran.r-project.org/package=EbayesThresh
Description: CRAN Package 'EbayesThresh' (Empirical Bayes Thresholding and Related Methods)
 Empirical Bayes thresholding using the methods developed by I. M. Johnstone
 and B. W. Silverman. The basic problem is to estimate a mean vector given a
 vector of observations of the mean vector plus white noise, taking advantage
 of possible sparsity in the mean vector. Within a Bayesian formulation, the
 elements of the mean vector are modelled as having, independently, a
 distribution that is a mixture of an atom of probability at zero and a
 suitable heavy-tailed distribution. The mixing parameter can be estimated by
 a marginal maximum likelihood approach. This leads to an adaptive
 thresholding approach on the original data.  Extensions of the basic method,
 in particular to wavelet thresholding, are also implemented within the
 package.

Package: r-cran-ebchs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-fda
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ebchs_0.1.0-1.ca2004.1_all.deb
Size: 49112
MD5sum: 25374aad762173a09bf1626f38f493bf
SHA1: 4dbdc96b048e40b8bad5b279595324aada272455
SHA256: 10cabc48c8c81be711523e304fd46bdebe4de76c89338ff3c2a8533052fcb4ad
SHA512: 3baaca67aca94f7e1dc129f24003dc16058babdef8704a91b472e0341deb1faa1714a8df86e950619804f068fcc871c8e61f96feec8614cd975cbf36f84d4c9d
Homepage: https://cran.r-project.org/package=EBCHS
Description: CRAN Package 'EBCHS' (An Empirical Bayes Method for Chi-Squared Data)
 We provide the main R functions to compute the posterior interval for the
 noncentrality parameter of the chi-squared distribution. The skewness
 estimate of the posterior distribution is also available to improve the
 coverage rate of posterior intervals. Details can be found in Du and Hu
 (2020) <doi:10.1080/01621459.2020.1777137>.

Package: r-cran-ebci
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat, r-cran-lpsolve, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ebci_1.0.0-1.ca2004.1_all.deb
Size: 198236
MD5sum: 8c217037d46ad78bfe48ee85b0db8ea1
SHA1: 3d7253e79a96e6a18ce788d8ea9b2e234c7ed77d
SHA256: 1648999ffab32448b697d44d05609cf6360b993c346b8f34b6efb56175d876a3
SHA512: 457fd6c26458693d16b5a3283df61410164d9e1d972dc7a90072e005f85e931975af9c40a18f57709b424e24ddfa782d951dbf36ac74bfd3ac0c7babab4ec7a5
Homepage: https://cran.r-project.org/package=ebci
Description: CRAN Package 'ebci' (Robust Empirical Bayes Confidence Intervals)
 Computes empirical Bayes confidence estimators and confidence intervals in a
 normal means model. The intervals are robust in the sense that they achieve
 correct coverage regardless of the distribution of the means. If the means
 are treated as fixed, the intervals have an average coverage guarantee. The
 implementation is based on Armstrong, Kolesár and Plagborg-Møller (2020)
 <arXiv:2004.03448>.

Package: r-cran-ebcobart
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbarts, r-cran-loo, r-cran-posterior, r-cran-univariateml, r-cran-extradistr
Filename: pool/dists/focal/main/r-cran-ebcobart_1.1.1-1.ca2004.1_all.deb
Size: 252140
MD5sum: 12c36c2a4838987713ba184c23db0225
SHA1: 9bb55f6a4114e25c1343ab27e69bdd0b3b02cab3
SHA256: fe457a9af1cc944fa96f9ab0ffadb6e21d5db225f7c9f9be75f647e5cbe1b74d
SHA512: a2682af0fa38bdd0146172c96a02c98af093b40d60a110b403e694a3224081ab9a88e19f52304f5f15493e24ef866be7239842143b390c0499ef133bcedb9c95
Homepage: https://cran.r-project.org/package=EBcoBART
Description: CRAN Package 'EBcoBART' (Co-Data Learning for Bayesian Additive Regression Trees)
 Estimate prior variable weights for Bayesian Additive Regression Trees
 (BART). These weights correspond to the probabilities of the variables being
 selected in the splitting rules of the sum-of-trees.  Weights are estimated
 using empirical Bayes and external information on the explanatory variables
 (co-data).  BART models are fitted using the 'dbarts' 'R' package.  See
 Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.

Package: r-cran-ebdm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ebdm_1.0.0-1.ca2004.1_all.deb
Size: 20540
MD5sum: 2f2e753b1359c59a385282c3528d5235
SHA1: dcb3097664c5a415fb84deef5808778103f88198
SHA256: d3080dff3847b543f6334d9d9ac5f21f5d28c3bdddd728b131bd51041f5a5813
SHA512: 808d79b8e95cc8c9023a97917f4fe92881a04723d49d6a5139322ccbf1c83ec3c770493b06d83512cf5cfa2595f897a3a3af78c9b509ba47837d8cf679a58584
Homepage: https://cran.r-project.org/package=ebdm
Description: CRAN Package 'ebdm' (Implementation of Estimating Binary Dependency from MarginalData)
 Provides a maximum likelihood estimation method to recover the joint
 distribution of two binary variables using only marginal summary data from
 multiple studies.  This approach allows for privacy-preserving estimation in
 settings where individual-level data are unavailable.  The method is fully
 described in the manuscript by Shang, Tsao and Zhang (2025)
 <doi:10.48550/arXiv.2505.03995>: "Estimating the Joint Distribution of Two
 Binary Variables from Their Marginal Summaries".

Package: r-cran-ebgenotyping
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ebgenotyping_2.0.1-1.ca2004.1_all.deb
Size: 30856
MD5sum: 6a95ba11cc74c67f23e14fd8a07919a7
SHA1: 76b367ecb8ade3761e94de7d45568d6d58bc4cc9
SHA256: 8bc58fec2316dece4268a047caca71a106213cb7e1c86a78ce416efe36a3e657
SHA512: f604ac02de285bad3daa09bdbe413fd7b598aa46a4e7c0475749069ac996bcc55fc73d135abf83314677c8e0d7c7bf006509ae4ad821caff47433703faee0bd4
Homepage: https://cran.r-project.org/package=ebGenotyping
Description: CRAN Package 'ebGenotyping' (Genotyping and SNP Detection using Next Generation SequencingData)
 Genotyping the population using next generation sequencing data is
 essentially important for the rare variant detection. In order to
 distinguish the genomic structural variation from sequencing error, we
 propose a statistical model which involves the genotype effect through a
 latent variable to depict the distribution of non-reference allele frequency
 data among different samples and different genome loci, while decomposing
 the sequencing error into sample effect and positional effect. An ECM
 algorithm is implemented to estimate the model parameters, and then the
 genotypes and SNPs are inferred based on the empirical Bayes method.

Package: r-cran-ebirdst
Architecture: all
Version: 3.2023.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-terra, r-cran-viridislite
Suggests: r-cran-fields, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-presenceabsence, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-scales, r-cran-scico, r-cran-testthat, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ebirdst_3.2023.0-1.ca2004.1_all.deb
Size: 428868
MD5sum: dd5af7b17e8f0896114ec29700670b86
SHA1: a49504c2517124c1f17f572528dce5e07f5ee310
SHA256: 2a3112db89b33b5a3b25d524ba312bb899dd9c9085b7b660d9488325d7b824d3
SHA512: 585a99bb8ddbe2bd85bca73153016a3cb6d59f630545d1fd6a6759681903d472ff896443a8d61d24adc3af7e81a18e5bf37e84e00f6a77bbf3c2ca34502dfe03
Homepage: https://cran.r-project.org/package=ebirdst
Description: CRAN Package 'ebirdst' (Access and Analyze eBird Status and Trends Data Products)
 Tools for accessing and analyzing eBird Status and Trends Data Products
 (<https://science.ebird.org/en/status-and-trends>). eBird
 (<https://ebird.org/home>) is a global database of bird observations
 collected by member of the public. eBird Status and Trends uses these data
 to model global bird distributions, abundances, and population trends at a
 high spatial and temporal resolution.

Package: r-cran-ebm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-ggplot2, r-cran-lattice
Suggests: r-cran-htmltools, r-cran-islr2, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-ebm_0.1.0-1.ca2004.1_all.deb
Size: 501036
MD5sum: 5e462edf2004c0fc3656e8a887342a4f
SHA1: ce928d08c64f26dca83ff48c37c2c8092fbd3eda
SHA256: 5a917cf9243bc5fe99c93325ae32b1cfea31b637c344c6233b11957ac7aeee5f
SHA512: 02ab2e2dca3fc59fefee56df42ac1d5f9fe2d1f49e2b4d119587692420a64be9e05a9ebf931313692e0a1fce2d1ba7d0de19db9f9b9ed2f5ddc215d06d207f6f
Homepage: https://cran.r-project.org/package=ebm
Description: CRAN Package 'ebm' (Explainable Boosting Machines)
 An interface to the 'Python' 'InterpretML' framework for fitting explainable
 boosting machines (EBMs); see Nori et al. (2019)
 <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of
 generalized additive model that use tree-based, cyclic gradient boosting
 with automatic interaction detection. They are often as accurate as
 state-of-the-art blackbox models while remaining completely interpretable.

Package: r-cran-ebmc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-rpart, r-cran-c50, r-cran-randomforest, r-cran-proc, r-cran-smotefamily
Filename: pool/dists/focal/main/r-cran-ebmc_1.0.1-1.ca2004.1_all.deb
Size: 69432
MD5sum: abf2c1148a27f7e8a7078110ffd31b9c
SHA1: 218185ad71f674062a91203ade9d1be01e66a4fa
SHA256: 3a3b22edd9a0cd6f209b277a5322ea7ea1aa626fd5548f967cc42f4c5952ec3f
SHA512: eef0b5dde458b632b815169417d6c29ccdcf3fd738c14b5f7ccddccd44fcf31f101c822821bb29a7c97f30c7ba66b4fd29ac76d9080be39de05b8696e3fbe6e8
Homepage: https://cran.r-project.org/package=ebmc
Description: CRAN Package 'ebmc' (Ensemble-Based Methods for Class Imbalance Problem)
 Four ensemble-based methods (SMOTEBoost, RUSBoost, UnderBagging, and
 SMOTEBagging) for class imbalance problem are implemented for binary
 classification. Such methods adopt ensemble methods and data re-sampling
 techniques to improve model performance in presence of class imbalance
 problem. One special feature offers the possibility to choose multiple
 supervised learning algorithms to build weak learners within ensemble
 models. References: Nitesh V. Chawla, Aleksandar Lazarevic, Lawrence O.
 Hall, and Kevin W. Bowyer (2003) <doi:10.1007/978-3-540-39804-2_12>, Chris
 Seiffert, Taghi M. Khoshgoftaar, Jason Van Hulse, and Amri Napolitano (2010)
 <doi:10.1109/TSMCA.2009.2029559>, R. Barandela, J. S. Sanchez, R. M.
 Valdovinos (2003) <doi:10.1007/s10044-003-0192-z>, Shuo Wang and Xin Yao
 (2009) <doi:10.1109/CIDM.2009.4938667>, Yoav Freund and Robert E. Schapire
 (1997) <doi:10.1006/jcss.1997.1504>.

Package: r-cran-ebnm
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 897
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ashr, r-cran-mixsqp, r-cran-truncnorm, r-cran-trust, r-cran-horseshoe, r-cran-deconvolver, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-numderiv, r-cran-rebayes, r-cran-knitr, r-cran-rmarkdown, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-ebnm_1.1-2-1.ca2004.1_all.deb
Size: 693544
MD5sum: 1d09633c46a1e5c72ee01103adf25ef8
SHA1: 13390710584d533c95ad702d7332777d066ec61d
SHA256: 7f348288ae068bbc0a20844cbfa47bf50aeeee54c3597209fe797190a63daf51
SHA512: e6eae3649bc3b51d20d6517c3198ad07d304476eaa99cfc3918a514f63597aa8b272f69803b1b1e26b5946feadce53a32898770f4079da657f722e41dab42761
Homepage: https://cran.r-project.org/package=ebnm
Description: CRAN Package 'ebnm' (Solve the Empirical Bayes Normal Means Problem)
 Provides simple, fast, and stable functions to fit the normal means model
 using empirical Bayes. For available models and details, see function
 ebnm(). A detailed introduction to the package is provided by Willwerscheid
 and Stephens (2021) <arXiv:2110.00152>.

Package: r-cran-ebprs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-bedmatrix, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ebprs_2.1.0-1.ca2004.1_all.deb
Size: 55540
MD5sum: 184362d2032c233d3707302e630540d0
SHA1: 9ac2ad4fac3965f651e2493424cc3162dca574c3
SHA256: 0d9f9283d7ac2957213b0593ac28627ded0a03d34215f5bad77c110117c07254
SHA512: 7fd5f6180c513c2eb4ff17fccf7108507ce19019b1d5ae7de0a1e7df7f73059388c90995c06df8d01ba18b71101ba69117036c1f797b830c4ca8fd18ccdf5333
Homepage: https://cran.r-project.org/package=EBPRS
Description: CRAN Package 'EBPRS' (Derive Polygenic Risk Score Based on Emprical Bayes Theory)
 EB-PRS is a novel method that leverages information for effect sizes across
 all the markers to improve the prediction accuracy.  No parameter tuning is
 needed in the method, and no external information is needed. This R-package
 provides the calculation of polygenic risk scores from the given training
 summary statistics and testing data. We can use EB-PRS to extract main
 information, estimate Empirical Bayes parameters, derive polygenic risk
 scores for each individual in testing data, and evaluate the PRS according
 to AUC and predictive r2. See Song et al. (2020)
 <doi:10.1371/journal.pcbi.1007565> for a detailed presentation of the
 method.

Package: r-cran-ebrank
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ebrank_1.0.0-1.ca2004.1_all.deb
Size: 33980
MD5sum: 10b3817de4c7ffe87592c81c454ee76b
SHA1: d91aa46324ce7f90c1c6d3689f9626e392d4556d
SHA256: 057fd20e7807605257a8716351e9c4669b7a22e05764362b61480561490b16a4
SHA512: fdafe8ea8fee05cfeeef17ef2910a63a64b4c253da7ea20ca22ee274d9158ee995b5782717c9d3dd376bfcb04cc4f8e3c536659217bfe748ad8ee9f058e1db94
Homepage: https://cran.r-project.org/package=EBrank
Description: CRAN Package 'EBrank' (Empirical Bayes Ranking)
 Empirical Bayes ranking applicable to parallel-estimation settings where the
 estimated parameters are asymptotically unbiased and normal, with known
 standard errors.  A mixture normal prior for each parameter is estimated
 using Empirical Bayes methods, subsequentially ranks for each parameter are
 simulated from the resulting joint posterior over all parameters (The
 marginal posterior densities for each parameter are assumed independent).
 Finally, experiments are ordered by expected posterior rank, although
 computations minimizing other plausible rank-loss functions are also given.

Package: r-cran-ebreg
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ebreg_0.1.3-1.ca2004.1_all.deb
Size: 143464
MD5sum: c1cb870fb2289902b97f2131a3a404ad
SHA1: c05045623a05926dd245a255ea74c4a53dc873fe
SHA256: a3ffbda3f15a1e40ffb160f8311afda72ffc17a76cf5cd100f0c67eca3884450
SHA512: 9c137466afc91f804b18d1712cf054c738903512847af59e5db219739de6be65b5186470dfed2bf8b54bbe50e72264431fcac0b5439921d76c5f28f9c953c6b2
Homepage: https://cran.r-project.org/package=ebreg
Description: CRAN Package 'ebreg' (Implementation of the Empirical Bayes Method)
 Implements a Bayesian-like approach to the high-dimensional sparse linear
 regression problem based on an empirical or data-dependent prior
 distribution, which can be used for estimation/inference on the model
 parameters, variable selection, and prediction of a future response. The
 method was first presented in Martin, Ryan and Mess, Raymond and Walker,
 Stephen G (2017) <doi:10.3150/15-BEJ797>. More details focused on the
 prediction problem are given in Martin, Ryan and Tang, Yiqi (2019)
 <arXiv:1903.00961>.

Package: r-cran-ebsnp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ebsnp_1.0-1.ca2004.1_all.deb
Size: 16560
MD5sum: 393613da2d152deb0f6bc330116c5e60
SHA1: 544e96531cd81baa860f088c3e1cacd0c75cd5b0
SHA256: 5aa9b6519df6b0047f5efedcaa17d201c3546dac37abb21421023006ea5c9924
SHA512: 44b9f32e20c98bebb7cf0cce1937e12b589f5d8c3623d98bdf2762da5dac317103d564f17e7d058c89ade05af028cbe3f431046bc6eafefe36a93bb45bb1e1d5
Homepage: https://cran.r-project.org/package=ebSNP
Description: CRAN Package 'ebSNP' (Genotyping and SNP calling using single-sample next generationsequencing data)
 Genotyping and SNP calling tool for single-sample next generation sequencing
 data analysis using an empirical Bayes method.

Package: r-cran-ebvcube
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3074
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-curl, r-bioc-delayedarray, r-cran-ggplot2, r-bioc-hdf5array, r-cran-httr, r-cran-jsonlite, r-cran-memuse, r-cran-ncdf4, r-cran-ncmeta, r-cran-reshape2, r-bioc-rhdf5, r-cran-stringr, r-cran-terra, r-cran-tidyterra, r-cran-withr
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ebvcube_0.5.1-1.ca2004.1_all.deb
Size: 2144240
MD5sum: 59498d0581ebab0ad5be9a51eaf3b987
SHA1: 14f99730d658d8893cac1e11aed6de904a71a05f
SHA256: 4de4b092350669177f9fcecb20a35ad9f608941667b67c1b22e5c93d974cc5ab
SHA512: 4affb64a1bf85fe73032249322f725ead44bbb44673bff9249431ea63c0ddcee1a71b5aba8f7fd2ce92ba7750f467c67f917f55c6d76de50de683f2a1219f72e
Homepage: https://cran.r-project.org/package=ebvcube
Description: CRAN Package 'ebvcube' (Working with netCDF for Essential Biodiversity Variables)
 The concept of Essential Biodiversity Variables (EBV,
 <https://geobon.org/ebvs/what-are-ebvs/>) comes with a data structure based
 on the Network Common Data Form (netCDF).  The 'ebvcube' 'R' package
 provides functionality to easily create, access and visualise this data. The
 EBV netCDFs can be downloaded from the EBV Data Portal: Christian Langer/
 iDiv (2020) <https://portal.geobon.org/>.

Package: r-cran-ec50estimator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-magrittr, r-cran-drc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggridges, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-ec50estimator_0.1.0-1.ca2004.1_all.deb
Size: 123072
MD5sum: 6a7c034b2f5a37567e5cfd4289fe2087
SHA1: 7a0adc6b2ddafc694d49056d51fd0897de6606b4
SHA256: c28dceaf8d31e9d9ba6733feb81606d43d95706eada3b9b318fedd7bc9ecb98a
SHA512: 2be07f418ff38988283da5cc3cb52f01c3a4b5cd65c57d98e883de62174036e4561f2d7174afa74e49dbd8c5482abc0c7702748c78805e5cef1681f6d8c4d005
Homepage: https://cran.r-project.org/package=ec50estimator
Description: CRAN Package 'ec50estimator' (An Automated Way to Estimate EC50 for Stratified Datasets)
 An implementation for estimating Effective control to 50% of growth
 inhibition (EC50) for multi isolates and stratified datasets. It implements
 functions from the drc package in a way that is displayed a tidy data.frame
 as output. Info about the drc package is available in Ritz C, Baty F,
 Streibig JC, Gerhard D (2015) <doi:10.1371/journal.pone.0146021>.

Package: r-cran-ecan
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-dendextend, r-cran-dplyr, r-cran-ggplot2, r-cran-jsonlite, r-cran-labdsv, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vegan
Suggests: r-cran-ggdendro, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecan_0.2.1-1.ca2004.1_all.deb
Size: 113428
MD5sum: fec87b8b426799e064c7cf25980d8748
SHA1: 5a9aceeec9431bdad381c5d45a44688febc0d2b8
SHA256: 47cadbc8b3d7172890d61ff11532171072b8a56d116291d6b064969db524a428
SHA512: 870ad3570f4c0af34c2f83b6d4433665b105aedd774ca58e6f8879b9e1def4c2fde3391a7a5f16baf806e1d0fae89b9f6115efbe68aa1cc7a110b4879c4dcd11
Homepage: https://cran.r-project.org/package=ecan
Description: CRAN Package 'ecan' (Ecological Analysis and Visualization)
 Support ecological analyses such as ordination and clustering.  Contains
 consistent and easy wrapper functions of 'stat', 'vegan', and 'labdsv'
 packages, and visualisation functions of ordination and clustering.

Package: r-cran-ecb
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-rsdmx, r-cran-xml2, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-lubridate, r-cran-ggplot2, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-ecb_0.4.3-1.ca2004.1_all.deb
Size: 439856
MD5sum: 17c8e20602a3c05c412c504a5ff1485e
SHA1: 967bd829b3581ddffe979fcd7aee18769454acd2
SHA256: 8b45748786208708497e031fec4f504827c8c7e581634834f819d354223d8c13
SHA512: f19cd3bc514ef5ccc2e999d32eb1187c1ee1d1487766555e97b841b63502148795a94a3a6614bf1eaeccca1e82e3f04816529fe4a78f2733c1e1a0d420eb309b
Homepage: https://cran.r-project.org/package=ecb
Description: CRAN Package 'ecb' (Programmatic Access to the European Central Bank's Data Portal)
 Provides an interface to the European Central Bank's Data Portal API,
 allowing for programmatic retrieval of a vast quantity of statistical data.

Package: r-cran-ecce
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-uuid, r-cran-digest, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ecce_3.0.3-1.ca2004.1_all.deb
Size: 117840
MD5sum: 786c3fb1dcf0401fe7c19c4aac0ca265
SHA1: 4337770e968477a60d328ddf7507f662f87e9038
SHA256: b30bf09c8854ce757fa1ddc3747af362b4666ff1b914c344406fdba47eefc7b7
SHA512: bafe34485ac2fe55d751a9e163a99a6d78f8d7df8f51e92c99d6938c1893b1f82f4a6cbe77b440bc6e357586a229e60fe531c3876b3e836482df487524f566cf
Homepage: https://cran.r-project.org/package=ecce
Description: CRAN Package 'ecce' (Translate English Sentence into Chinese, or Translate ChineseSentence into English)
 If translate English or Chinese sentence, there is a faster way for R user.
 You can pass in an English or Chinese sentence, ecce package support both
 English and Chinese translation. It also support browse translation results
 in website. In addition, also support obtain the pinyin of the Chinese
 character, you can more easily understand the pronunciation of the Chinese
 character.

Package: r-cran-ecd
Architecture: all
Version: 0.9.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3250
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rmpfr, r-cran-gsl, r-cran-polynom, r-cran-xts, r-cran-zoo, r-cran-optimx, r-cran-moments, r-cran-stabledist, r-cran-ggplot2, r-cran-gridextra, r-cran-xtable, r-cran-yaml, r-cran-rsqlite, r-cran-digest
Suggests: r-cran-knitr, r-cran-testthat, r-cran-roxygen2, r-cran-shape
Filename: pool/dists/focal/main/r-cran-ecd_0.9.2.4-1.ca2004.1_all.deb
Size: 2822696
MD5sum: c9ae0922071ec4d31c8003e6e536e6ae
SHA1: e9d3d03f4d78e21fd44a59eacf98bf9d71eb0da8
SHA256: 45d034d1f9551c396e0c5ac56939a4df4416663f17589f1284c5d8f2ce503d7e
SHA512: e3a9883993f0d43c915158c938b4f6deb69cdd3e0f4f8b3aa5465ab1216cf2b3e5a218251401c74ca3c5411ba2ba5e54797456255d41d0e6392599c7e4938b3c
Homepage: https://cran.r-project.org/package=ecd
Description: CRAN Package 'ecd' (Elliptic Lambda Distribution and Option Pricing Model)
 Elliptic lambda distribution and lambda option pricing model have been
 evolved into a framework of stable-law inspired distributions, such as the
 extended stable lambda distribution for asset return, stable count
 distribution for volatility, and Lihn-Laplace process as a leptokurtic
 extension of Wiener process.  This package contains functions for the
 computation of density, probability, quantile, random variable, fitting
 procedures, option prices, volatility smile. It also comes with sample
 financial data, and plotting routines.

Package: r-cran-ecdat
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4669
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ecfun
Suggests: r-cran-plm, r-cran-systemfit, r-cran-cardata, r-cran-wooldridge
Filename: pool/dists/focal/main/r-cran-ecdat_0.4-2-1.ca2004.1_all.deb
Size: 3994988
MD5sum: f144980d8ec5f7fa3300ce789d679203
SHA1: 5cb350b8e70859924d9b990f32c3ce939fb69302
SHA256: 10c1209a1815120c8e0aaa66ac42474e46dc9b0f8f493a5e282acbcfaa270be3
SHA512: 965a6d67c61fa3aff516fc4c54f15b333b0fcdcdfbc802287fcf5037390e35417922948f9f68946380f068d0c07a004ffc060d25af5924d7184c41b5cfaf22fa
Homepage: https://cran.r-project.org/package=Ecdat
Description: CRAN Package 'Ecdat' (Data Sets for Econometrics)
 Data sets for econometrics, including political science.

Package: r-cran-ecdata
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-cli, r-cran-rlang, r-cran-glue, r-cran-piggyback, r-cran-cachem, r-cran-memoise, r-cran-vctrs, r-cran-curl
Suggests: r-cran-duckplyr, r-cran-testthat, r-cran-data.table, r-cran-dplyr, r-cran-altdoc, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ecdata_1.1.1-1.ca2004.1_all.deb
Size: 49980
MD5sum: 39d83e9fb12165d22cd300ad941e0266
SHA1: 63c044720abb07aff652e2f1a8b424b298fa7188
SHA256: 609cf0a9b9348d3a007895ab0d2df9a887895a423dfd66385b36068a2274b59c
SHA512: 48925eac325821adf5ff7a47614fbfd479ba7241bb9dfb7aa7e06ba24df6729841f5826afbd06ddc3f79549bdc881d3ed7a6087f80dcbc1493afad69e4b6dc66
Homepage: https://cran.r-project.org/package=ecdata
Description: CRAN Package 'ecdata' (Loads Data from the Executive Communications Dataset)
 A minimal package for downloading data from 'GitHub' repositories of the
 Executive Communications Database.

Package: r-cran-ecdfht
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-ecdfht_0.1.1-1.ca2004.1_all.deb
Size: 2078404
MD5sum: 301d450f5433bc9577463c7cb7df01b6
SHA1: 093a945db9e1c9e80e566546ae63d984eabb751f
SHA256: b7fc7a5cfd1117aee3e4fd5d4597871b18a9eca5d96ccd14b7fce53d6a9e8486
SHA512: 6b50d96518307f78f63423df9372752b5d11f104e6d99d7e696047b04f8630ba15784a839ab5312b1ae068488fbb7b7794b8a8220b8f53bf4c1d9687410c07c9
Homepage: https://cran.r-project.org/package=ecdfHT
Description: CRAN Package 'ecdfHT' (Empirical CDF for Heavy Tailed Data)
 Computes and plots a transformed empirical CDF (ecdf) as a diagnostic for
 heavy tailed data, specifically data with power law decay on the tails.
 Routines for annotating the plot, comparing data to a model, fitting a
 nonparametric model, and some multivariate extensions are given.

Package: r-cran-ecerto
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2553
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-golem, r-cran-knitr, r-cran-magick, r-cran-markdown, r-cran-moments, r-cran-openxlsx, r-cran-plyr, r-cran-purrr, r-cran-r6, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-tidyxl, r-cran-xml2
Suggests: r-cran-covr, r-cran-curl, r-cran-fs, r-cran-jsonlite, r-cran-rlang, r-cran-shinytest2, r-cran-testthat, r-cran-vdiffr, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-ecerto_0.8.5-1.ca2004.1_all.deb
Size: 1956912
MD5sum: ea14b900f2e2a63920146641ffce7ddc
SHA1: bbe45864b59259a1717b01d4c93413d925b1c89b
SHA256: 0dad4d8ced026346e9c76074eefdaeb1c8ff39a9b838597284b3b9a0997c6cbc
SHA512: cb3b3a0ff1b04999c3e13aa7eba14d4673d74e6c16ba067076d7e670681f3db365d19283d8580ad1212a9893ee48dad0ad261fdc86c0aa7be4551b2b73704b6f
Homepage: https://cran.r-project.org/package=eCerto
Description: CRAN Package 'eCerto' (Statistical Tests for the Production of Reference Materials)
 The production of certified reference materials (CRMs) requires various
 statistical tests depending on the task and recorded data to ensure that
 reported values of CRMs are appropriate.  Often these tests are performed
 according to the procedures described in 'ISO GUIDE 35:2017'. The 'eCerto'
 package contains a 'Shiny' app which provides functionality to load,
 process, report and backup data recorded during CRM production and
 facilitates following the recommended procedures.  It is described in Lisec
 et al (2023) <doi:10.1007/s00216-023-05099-3> and can also be accessed
 online <https://apps.bam.de/shn00/eCerto/> without package installation.

Package: r-cran-ecfun
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2593
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-tis, r-cran-jpeg, r-cran-mass, r-cran-stringi, r-cran-xml2, r-cran-bma, r-cran-mvtnorm, r-cran-rvest, r-cran-readr, r-cran-rworldmap
Suggests: r-cran-car, r-cran-desctools, r-cran-ecdat, r-cran-maps, r-cran-gridbase, r-cran-pryr, r-cran-knitr, r-cran-rmarkdown, r-cran-invgamma, r-cran-ipumsr, r-cran-lubridate, r-cran-bayesplot, r-cran-bssm, r-cran-ggplot2, r-cran-tibble, r-cran-kableextra, r-cran-openxlsx, r-cran-fitdistrplus, r-cran-purrr, r-cran-markdown, r-cran-envstats, r-cran-drc, r-cran-zoo, r-cran-prodlim, r-cran-plyr, r-cran-trampr, r-cran-raster, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-ecfun_0.3-6-1.ca2004.1_all.deb
Size: 775472
MD5sum: 349d5935edc824b837cc5e842df68907
SHA1: 72c80cb3a0cef27b86485b540645ee1fae7f1437
SHA256: 0fdee20b145a9b8243f62a8ca0bb570f4b1d36653ff3821857940e2357c6e4e3
SHA512: 2c0c7af7d31be9bbcddf39d59c579cf733a2aed270dcfe595952ed411b66d05560eba96c06ff4cba61db51ef2ee416c715d31c0939e4156b4bf81f1593ed720a
Homepage: https://cran.r-project.org/package=Ecfun
Description: CRAN Package 'Ecfun' (Functions for 'Ecdat')
 Functions and vignettes to update data sets in 'Ecdat' and to create,
 manipulate, plot, and analyze those and similar data sets.

Package: r-cran-ecg
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ecg_0.5.2-1.ca2004.1_all.deb
Size: 108784
MD5sum: acb61fcfdebf826d0fc13fe430ff5f67
SHA1: f7d34abe014b0a29f495a38899bbe22e83e32cc6
SHA256: 5ab1b8561ce44de4a97f12b3e3c98101cdf8ee0766530f3240f981aecd3620c4
SHA512: 618fc7d058da3f3aaf087d5400ebd4db7159d36d3ab8883015fd6fee8a58c99a9166ed046ad3302a8a174833fd846ee73d98c9d12b43cc2b65753afafe2da851
Homepage: https://cran.r-project.org/package=ECG
Description: CRAN Package 'ECG' (Center of Gravity Methods)
 Implementation of the Centre of Gravity method and the Extrapolated Centre
 of Gravity method. It supports replicated observations.  Cameron, D.G., et
 al (1982) <doi:10.1366/0003702824638610> JCGM (2008)
 <doi:10.59161/JCGM100-2008E>.

Package: r-cran-ech
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 962
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-geouy, r-cran-glue, r-cran-haven, r-cran-janitor, r-cran-labelled, r-cran-laeken, r-cran-rlang, r-cran-srvyr, r-cran-statar, r-cran-stringr, r-cran-survey, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ech_0.1.3-1.ca2004.1_all.deb
Size: 812812
MD5sum: 65d0e31d572805ef03b09996d92bd73d
SHA1: 7dd29117d65d34465f8fc3da608689a1baac61a9
SHA256: e20857fdf8e4f9fb7e4c7303ae1dadeee6b48813a71c1eb1725477e81d1985d0
SHA512: c05225ae2492283746670bf22f578ee4f56c8572969e0e63850296da27bb3df803d721c9cd17862a83d30d293f8b7cc02f9a25cbcd1812459d83ced605446c66
Homepage: https://cran.r-project.org/package=ech
Description: CRAN Package 'ech' (Downloading and Processing Microdata from ECH-INE (Uruguay))
 A consistent tool for downloading ECH data, processing them and generating
 new indicators: poverty, education, employment, etc. All data are downloaded
 from the official site of the National Institute of Statistics at
 <https://www.gub.uy/instituto-nacional-estadistica/datos-y-estadisticas/encuestas/encuesta-continua-hogares>.

Package: r-cran-echarts2shiny
Architecture: all
Version: 0.2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-echarts2shiny_0.2.13-1.ca2004.1_all.deb
Size: 299968
MD5sum: f63761299bedd95daca974d4b0fc605a
SHA1: c2e1ed0a2f2b9e4643c9b2f32465fef42c7c2b34
SHA256: 52f44f1010a03e90bb077c3770c7880bf85cbdd82192354da647b707db9d19cb
SHA512: 0756b6ea69586d444443438e2097c511a3937d79b3cb38f6ab8850d0f7150db0970757b3ca31020996b35e4f2442a277f9cbef5ea6ab90cc7dc359b0ac601372
Homepage: https://cran.r-project.org/package=ECharts2Shiny
Description: CRAN Package 'ECharts2Shiny' (Embedding Interactive Charts Generated with ECharts Library intoShiny Applications)
 Embed interactive charts to their Shiny applications. These charts will be
 generated by ECharts library developed by Baidu
 (<http://echarts.baidu.com/>). Current version supports line chart, bar
 chart, pie chart, scatter plot, gauge, word cloud, radar chart, tree map,
 and heat map.

Package: r-cran-echarts4r
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3985
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-dplyr, r-cran-purrr, r-cran-countrycode, r-cran-broom, r-cran-shiny, r-cran-scales, r-cran-corrplot, r-cran-htmltools, r-cran-jsonlite, r-cran-rstudioapi
Suggests: r-cran-tidyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-data.tree, r-cran-leaflet, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-echarts4r_0.4.5-1.ca2004.1_all.deb
Size: 1454456
MD5sum: 357697e150fdbd13609c3f95d6458849
SHA1: 4f292a5d50779f2217ac16a54b34b3cd2a8873a5
SHA256: 954bfcd2be11bedea072dd486261da64d72692f249c57af17dc0f0a6c85ba4ca
SHA512: 4029c82c4b08b1b350f3e6163ccc5886f2e0291b687c076e00ef156df95e9e764fa0054907e9399000ba163a818f25734159307a4e5925e4cea8eddbad298cdf
Homepage: https://cran.r-project.org/package=echarts4r
Description: CRAN Package 'echarts4r' (Create Interactive Graphs with 'Echarts JavaScript' Version 5)
 Easily create interactive charts by leveraging the 'Echarts Javascript'
 library which includes 36 chart types, themes, 'Shiny' proxies and
 animations.

Package: r-cran-echarty
Architecture: all
Version: 1.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1572
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-dplyr, r-cran-data.tree
Suggests: r-cran-htmltools, r-cran-shiny, r-cran-jsonlite, r-cran-crosstalk, r-cran-testthat, r-cran-sf, r-cran-leaflet, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-echarty_1.6.6-1.ca2004.1_all.deb
Size: 596464
MD5sum: 58df4ade4b6a9ff166fd8beffd25be9a
SHA1: 8e781d47e495940053078055c2024294ff83efcb
SHA256: 4000de41a30f6faf0453ac5e38a1a899b5c11e964bcce0fe310e54a39157780e
SHA512: 147772299111761b8c0db72c4025fb3860c8ed0c8f2e3b1c66ec009e43bd34a831c8376db91561d3db9f6238d96be2f3ed6a93dc10772be9017da0ad1aaab64c
Homepage: https://cran.r-project.org/package=echarty
Description: CRAN Package 'echarty' (Minimal R/Shiny Interface to JavaScript Library 'ECharts')
 Deliver the full functionality of 'ECharts' with minimal overhead. 'echarty'
 users build R lists for 'ECharts' API. Lean set of powerful commands.

Package: r-cran-echelon
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-sf, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-echelon_0.2.0-1.ca2004.1_all.deb
Size: 121456
MD5sum: 1d3c6055ef5914dda8a1b6af67728b20
SHA1: 356e92b93aaf86dd666d969cec83607ccaea70a9
SHA256: d230a93fc4747a7b7d6ab3029d6914c25f3cef5a3193bcdb484aa71b9b776fac
SHA512: 58f530767960265f1c5a5ca5da4bd09aa8be7669f86011f21e59cebec2774a8c3697ad3266a4c2f0746a625cf4ea86d56cc926ad6f9f5f82376e688163d5e5d0
Homepage: https://cran.r-project.org/package=echelon
Description: CRAN Package 'echelon' (The Echelon Analysis and the Detection of Spatial Clusters usingEchelon Scan Method)
 Functions for the echelon analysis proposed by Myers et al. (1997)
 <doi:10.1023/A:1018518327329>, and the detection of spatial clusters using
 echelon scan method proposed by Kurihara (2003)
 <doi:10.20551/jscswabun.15.2_171>.

Package: r-cran-echem
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plot3d, r-cran-animation
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-echem_1.0.0-1.ca2004.1_all.deb
Size: 1164316
MD5sum: 3ffa2a22b2e5db169b0f8cc2c565410a
SHA1: 8708ffefa240d7018da437c04aed6320745e392b
SHA256: bcd225d76264f617cc6a542b743f0b18392989a12bb7bcd19399fabb96d60c02
SHA512: 4878438a5ca1533556f17089b100275a50a729761d38a980337397307d4754a41394c404e4bef73507ce11a00977b41d5f494435cdbe463b8c982143c851ec9b
Homepage: https://cran.r-project.org/package=eChem
Description: CRAN Package 'eChem' (Simulations for Electrochemistry Experiments)
 Simulates cyclic voltammetry, linear-sweep voltammetry (both with and
 without stirring of the solution), and single-pulse and double-pulse
 chronoamperometry and chronocoulometry experiments using the implicit finite
 difference method outlined in Gosser (1993, ISBN: 9781560810261) and in
 Brown (2015) <doi:10.1021/acs.jchemed.5b00225>. Additional functions provide
 ways to display and to examine the results of these simulations.  The
 primary purpose of this package is to provide tools for use in courses in
 analytical chemistry.

Package: r-cran-echo.find
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-echo.find_4.0.1-1.ca2004.1_all.deb
Size: 125488
MD5sum: 2827e2f206eb8c392e1323705909a8b8
SHA1: d7696939e2c9e09d2ea7c6e0fa3997ae1cfa8eb9
SHA256: ef7af60a6315fc5c2f8c75fcc68c9cbfb4e605db56f605731e2b99872da8a658
SHA512: de5c643c954eeebe2dbca6ccfb52eee14dfcb41f98f3e64d34751ccefa0e350876a087057f386963c7bffa3d30352b1852f5d8645075dcbdc24aadb1c7416884
Homepage: https://cran.r-project.org/package=echo.find
Description: CRAN Package 'echo.find' (Finding Rhythms Using Extended Circadian Harmonic Oscillators(ECHO))
 Provides a function (echo_find()) designed to find rhythms from data using
 extended harmonic oscillators. For more information, see H. De los Santos et
 al. (2020) <doi:10.1093/bioinformatics/btz617> .

Package: r-cran-echo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-echo_0.1.0-1.ca2004.1_all.deb
Size: 23072
MD5sum: aac14f1c95a4c480d3ad5b1744074be9
SHA1: 03b0d5558b63dbd5f610b08ee3c6bfb8e6af0097
SHA256: 01c608867d99b9f1bda9bb486188c5d184575f482e17180380378741003048a7
SHA512: 3887e76b27065c16899953ed728f3f6b2166e700f59ee2f4edf0588b118b591cd035a3550e0b83c47e28eeeec15d9298cb969ee41731ccf78de2deead2a8f93b
Homepage: https://cran.r-project.org/package=echo
Description: CRAN Package 'echo' (Echo Code Evaluations)
 Capture code evaluations and script executions by expressions, outputs, and
 condition calls for logging.

Package: r-cran-echogram
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geosphere, r-cran-readhac, r-cran-pals
Filename: pool/dists/focal/main/r-cran-echogram_0.1.3-1.ca2004.1_all.deb
Size: 2225832
MD5sum: 4ebd96d714a322a3a51b49078e508c86
SHA1: a855f25044c49185d1d1d77416ebc4eecaf885ee
SHA256: db3f6b8425c28cdcee93378e5dddb3ff54c49a9c524985af2e7e916c0bb3496e
SHA512: dc758b8249229213b2768f6c4b91e153d45ff0bbdf0a05b2ee4938c31a73686f0c1db8ce881690748a1f3cadfd0247069062d309fbef4b66f31d7e0cde276110
Homepage: https://cran.r-project.org/package=echogram
Description: CRAN Package 'echogram' (Echogram Visualisation and Analysis)
 Easily import multi-frequency acoustic data stored in 'HAC' files (see
 <doi:10.17895/ices.pub.5482> for more information on the format), and
 produce echogram visualisations with predefined or customized color
 palettes. It is also possible to merge consecutive echograms; mask or delete
 unwanted echogram areas; model and subtract background noise; and more
 important, develop, test and interpret different combinations of frequencies
 in order to perform acoustic filtering of the echogram's data.

Package: r-cran-echor
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 842
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-plyr, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-httptest, r-cran-testthat, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-echor_0.1.9-1.ca2004.1_all.deb
Size: 794176
MD5sum: 45b437e568a39606dc27f46e6cedcb38
SHA1: 8eadfc8382fda5229fbb8c1794249d61d83da010
SHA256: 295c716d8d8e2d2bd6e4a3a56a874c6be4dd8dc888058390989887c5d2af82fe
SHA512: b67faeecfa9f653dd4f7fee356209fe54a5796d483f788cada641f0cd50726a374e0920954c88625d383d3d5eec7eacda91b86e194e8cd7ce9a12ae3da1c66c1
Homepage: https://cran.r-project.org/package=echor
Description: CRAN Package 'echor' (Access EPA 'ECHO' Data)
 An R interface to United States Environmental Protection Agency (EPA)
 Environmental Compliance History Online ('ECHO') Application Program
 Interface (API). 'ECHO' provides information about EPA permitted facilities,
 discharges, and other reporting info associated with permitted entities.
 Data are obtained from <https://echo.epa.gov/>.

Package: r-cran-ecic
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 697
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-patchwork, r-cran-progress, r-cran-progressr
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-ecic_0.0.4-1.ca2004.1_all.deb
Size: 597900
MD5sum: 4a7e7d4e2670f648c4ead870d8107856
SHA1: 0a5ee5dda67052a83cfac4132490d2d27a395603
SHA256: 06bd5eddd0da69287009e37a136fab365e7a8caa28b0a4d194690c5064a1cfdb
SHA512: d5b6a9f1dfbb7ad913d32367b422b50af0840158ea2c568d90653babdc2514eb58f5deed13168d0aac76f1e5c82087b1e7baf9b86a2e8218631c90051ee91c7f
Homepage: https://cran.r-project.org/package=ecic
Description: CRAN Package 'ecic' (Extended Changes-in-Changes)
 Extends the Changes-in-Changes model a la Athey and Imbens (2006)
 <doi:10.1111/j.1468-0262.2006.00668.x> to multiple cohorts and time periods,
 which generalizes difference-in-differences estimation techniques to the
 entire distribution. Computes quantile treatment effects for every possible
 two-by-two combination in ecic(). Then, aggregating all bootstrap runs adds
 the standard errors in summary_ecic(). Results can be plotted with
 plot_ecic() aggregated over all cohort-group combinations or in an
 event-study style for either individual periods or individual quantiles.

Package: r-cran-ecipex
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chnosz
Filename: pool/dists/focal/main/r-cran-ecipex_1.1.1-1.ca2004.1_all.deb
Size: 41080
MD5sum: bb9b9c76255af40fbc2fa1e98459d9c9
SHA1: 59d6b63e6c24d139f142a2abc0f129c68b806076
SHA256: f0448164a1c0e84a51af4836d3595ad02bfd0044f062cebd2ef91cae95aac711
SHA512: 02c3ff19c95b5592034d13e720f27f20ab04341ac5e6e566ea9a04c1a4a1cc98170664363f9864c8a337db701cc192e321b2b7cbb2df78a8914176f7315559e9
Homepage: https://cran.r-project.org/package=ecipex
Description: CRAN Package 'ecipex' (Efficient Calculation of Fine Structure Isotope Patterns viaFourier Transforms of Simplex-Based Elemental Models)
 Provides a function that quickly computes the fine structure isotope
 patterns of a set of chemical formulas to a given degree of accuracy (up to
 the limit set by errors in floating point arithmetic). A data-set comprising
 the masses and isotopic abundances of individual elements is also provided
 and calculation of isotopic gross structures is also supported.

Package: r-cran-eclrmc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-softimpute
Filename: pool/dists/focal/main/r-cran-eclrmc_1.0-1.ca2004.1_all.deb
Size: 28744
MD5sum: 8d6c5cd3cdfb08ca3270edb687be6701
SHA1: 1432dc49d83c997013bbbb30238c17730fa0c00c
SHA256: 395b9d81d45ee719044b461ace3a30ea8376bd900fb3974df7fe661f7cf03ce3
SHA512: ae798d63f2a50a143f6f6ccc18b5ffc64da94b4050ad23d3b748c102f2d8d49bf3eeca41f9135d1c931dc7a9fb68cc551f5627315479e936e9baadb86cc68ef1
Homepage: https://cran.r-project.org/package=ECLRMC
Description: CRAN Package 'ECLRMC' (Ensemble Correlation-Based Low-Rank Matrix Completion)
 Ensemble correlation-based low-rank matrix completion method (ECLRMC) is an
 extension to the LRMC based methods. Traditionally, the LRMC based methods
 give identical importance to the whole data which results in emphasizing on
 the commonality of the data and overlooking the subtle but crucial
 differences. This method aims to overcome the equality assumption problem
 that exists in the current LRMS based methods. Ensemble correlation-based
 low-rank matrix completion (ECLRMC) takes consideration of the specific
 characteristic of each sample and performs LRMC on the set of samples with a
 strong correlation. It uses an ensemble learning method to improve the
 imputation performance. Since each sample is analyzed independently this
 method can be parallelized by distributing imputation across many
 computation units or GPU platforms. This package provides three different
 methods (LRMC, CLRMC and ECLRMC) for data imputation. There is also an NRMS
 function for evaluating the result. Chen, Xiaobo, et al (2017)
 <doi:10.1016/j.knosys.2017.06.010>.

Package: r-cran-eclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4677
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-data.table, r-cran-dynamictreecut, r-cran-magrittr, r-cran-pacman, r-cran-wgcna, r-cran-stringr, r-cran-pander
Suggests: r-cran-cluster, r-cran-earth, r-cran-ncvreg, r-cran-knitr, r-cran-rmarkdown, r-cran-protoclust, r-cran-factoextra, r-bioc-complexheatmap, r-cran-circlize, r-cran-pheatmap, r-cran-viridis, r-cran-proc, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-eclust_0.1.0-1.ca2004.1_all.deb
Size: 4500048
MD5sum: 9beee480fcc33e8475546c53e727bdf3
SHA1: 809ef74c539c46bf2d5a41dae19a390b076f48a5
SHA256: 8549e57b4972c9b7dc39d0209c58f9ff5892f3252a250eb827da5984e4ab8dd9
SHA512: a838333dc2f931864df511bdcce45762282ddb4111f7aa157633e7ead7351c3d7afbd7f7fd7e0774151e34a8f2331efde2179cfd45a7f80c961cc27dca09c1f7
Homepage: https://cran.r-project.org/package=eclust
Description: CRAN Package 'eclust' (Environment Based Clustering for Interpretable Predictive Modelsin High Dimensional Data)
 Companion package to the paper: An analytic approach for interpretable
 predictive models in high dimensional data, in the presence of interactions
 with exposures. Bhatnagar, Yang, Khundrakpam, Evans, Blanchette, Bouchard,
 Greenwood (2017) <DOI:10.1101/102475>.  This package includes an algorithm
 for clustering high dimensional data that can be affected by an
 environmental factor.

Package: r-cran-ecm
Architecture: all
Version: 7.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-earth
Filename: pool/dists/focal/main/r-cran-ecm_7.2.0-1.ca2004.1_all.deb
Size: 66116
MD5sum: 8b9639eabf47353dbd413e99b1c3d755
SHA1: cb809e41d0028940bc26388dfd3deb86d14b1bc8
SHA256: 3b8e34a176072e592ce3d50cded4dd2f228ecbb21de450d3bd7b718be5277ab1
SHA512: c3c53e8eb06148d7381b4c66f21b42135892fb656a7b52c7943155f421a999ebdca4461892ce2fca233a4ee4edc36d2f98505598d85edebb45d679625da806a2
Homepage: https://cran.r-project.org/package=ecm
Description: CRAN Package 'ecm' (Build Error Correction Models)
 Functions for easy building of error correction models (ECM) for time series
 regression.

Package: r-cran-ecmwfr
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-memoise, r-cran-getpass, r-cran-r6, r-cran-keyring
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-xml2, r-cran-testthat, r-cran-terra, r-cran-maps, r-cran-ncdf4, r-cran-knitr, r-cran-rlang, r-cran-rstudioapi, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ecmwfr_2.0.3-1.ca2004.1_all.deb
Size: 464124
MD5sum: 07d9b8b21046bd2b1b7b67b3ffcfaf24
SHA1: 028e9694e923c86983b0c6fca8afd681711d3c92
SHA256: f4ae0fe2c550d387b8cd9d55efc677c3e8b8c4525f401bce39d702eca9b286ab
SHA512: 4ff452155f55ac4e8556ab469d86a9724348f6f546cbb4175016e000a65e587a139dd30bd223fa199ce10765f1b50d313846f6ac09c36a56ef388227e144e823
Homepage: https://cran.r-project.org/package=ecmwfr
Description: CRAN Package 'ecmwfr' (Interface to 'ECMWF' and 'CDS' Data Web Services)
 Programmatic interface to the European Centre for Medium-Range Weather
 Forecasts dataset web services (ECMWF; <https://www.ecmwf.int/>) and
 Copernicus's Data Stores. Allows for easy downloads of weather forecasts and
 climate reanalysis data in R. Data stores covered include the Climate Data
 Store (CDS; <https://cds.climate.copernicus.eu>), Atmosphere Data Store
 (ADS; <https://ads.atmosphere.copernicus.eu>) and Early Warning Data Store
 (CEMS; <https://ewds.climate.copernicus.eu>).

Package: r-cran-ecocbo
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-sampling, r-cran-rlang, r-cran-foreach, r-cran-doparallel, r-cran-dosnow, r-cran-vegan, r-cran-ssp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecocbo_0.12.0-1.ca2004.1_all.deb
Size: 547508
MD5sum: c2da419869851a757fb0cae51aa03c78
SHA1: a6f5aabc25d9c2541c079ded02c167618c210719
SHA256: 317993a9c89c55d5402d99771eaaf9b9412dc550570f4c54c664a6d20b019fb4
SHA512: 26f4afb43a373639536eb45239d58d119e4b1a3605b4f011906b20a45e63e4fdbe9dbdbd9f90f0eb3d2d135d14498a5607692b57cd38055417165b33d1820703
Homepage: https://cran.r-project.org/package=ecocbo
Description: CRAN Package 'ecocbo' (Calculating Optimum Sampling Effort in Community Ecology)
 A system for calculating the optimal sampling effort, based on the ideas of
 "Ecological cost-benefit optimization" as developed by A. Underwood (1997,
 ISBN 0 521 55696 1). Data is obtained from simulated ecological communities
 with prep_data() which formats and arranges the initial data, and then the
 optimization follows the following procedure of four functions: (1)
 scompvar() calculates the variation components necessary for (2) sim_cbo()
 to calculate the optimal combination of number of sites and samples
 depending on either an economic budget or on a desired statistical accuracy.
 Additionally, (3) sim_beta() estimates statistical power and type 2 error by
 using Permutational Multivariate Analysis of Variance, and (6) plot_power()
 represents the results of the previous function.

Package: r-cran-ecochange
Architecture: all
Version: 2.9.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-sf, r-cran-rastervis, r-cran-sp, r-cran-ggplot2, r-cran-landscapemetrics, r-cran-tibble, r-cran-httr, r-cran-getpass, r-cran-rlang, r-cran-lattice, r-cran-rasterdt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-curl, r-cran-xml2, r-cran-rvest, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-ecochange_2.9.3.3-1.ca2004.1_all.deb
Size: 948436
MD5sum: 6921abe5191e315feef5a00ede2a5b46
SHA1: 8e6972281d316e0726918832f488451d595adf7d
SHA256: 8defc0f69b46aeca47432c303f6edb3fde8794dd10d6dd5df3a4b6dab19a36a0
SHA512: 75ccb966f4fa6641b67168f86db5bae51d7575f5521124bc02f4a49594c98d7651698b574d77c1b33d7df799bb48412be2b5b2b5b616446130043fadd7e84926
Homepage: https://cran.r-project.org/package=ecochange
Description: CRAN Package 'ecochange' (Integrating Ecosystem Remote Sensing Products to Derive EBVIndicators)
 Essential Biodiversity Variables (EBV) are state variables with dimensions
 on time, space, and biological organization that document biodiversity
 change. Freely available ecosystem remote sensing products (ERSP) are
 downloaded and integrated with data for national or regional domains to
 derive indicators for EBV in the class ecosystem structure (Pereira et al.,
 2013) <doi:10.1126/science.1229931>, including horizontal ecosystem extents,
 fragmentation, and information-theory indices. To process ERSP, users must
 provide a polygon or geographic administrative data map. Downloadable ERSP
 include Global Surface Water (Peckel et al., 2016)
 <doi:10.1038/nature20584>, Forest Change (Hansen et al., 2013)
 <doi:10.1126/science.1244693>, and Continuous Tree Cover data (Sexton et
 al., 2013) <doi:10.1080/17538947.2013.786146>.

Package: r-cran-ecocomdp
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-data.table, r-cran-dplyr, r-cran-eml, r-cran-emld, r-cran-geosphere, r-cran-ggplot2, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-neonutilities, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-tidyr, r-cran-uuid, r-cran-xml2, r-cran-neonos
Suggests: r-cran-knitr, r-cran-mime, r-cran-reader, r-cran-ritis, r-cran-taxize, r-cran-testthat, r-cran-worrms, r-cran-ggrepel, r-cran-usmap, r-cran-sf, r-cran-maps
Filename: pool/dists/focal/main/r-cran-ecocomdp_1.3.2-1.ca2004.1_all.deb
Size: 3006340
MD5sum: 3760d4c12e7b627dc9ca3e03d1a481b1
SHA1: 39f44242fd633d24bd70a46f8a6741b643fdf817
SHA256: cfcbfb3a64c8bf3f6fe093b3ef0bd935c40ee274b601dcd8bf683ff3b4453a89
SHA512: b5d0dfd7f9860a23a5660f20c35ddb72f20ba89b72278cdd9c3e939de4768162e4612a713a76b9dd7f3d6a536d080f294a403a3ad1de857c800169b88901582c
Homepage: https://cran.r-project.org/package=ecocomDP
Description: CRAN Package 'ecocomDP' (Tools to Create, Use, and Convert ecocomDP Data)
 Work with the Ecological Community Data Design Pattern. 'ecocomDP' is a
 flexible data model for harmonizing ecological community surveys, in a
 research question agnostic format, from source data published across
 repositories, and with methods that keep the derived data up-to-date as the
 underlying sources change. Described in O'Brien et al. (2021),
 <doi:10.1016/j.ecoinf.2021.101374>.

Package: r-cran-ecocopula
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvabund, r-cran-glasso, r-cran-plyr, r-cran-sna, r-cran-mass, r-cran-tweedie, r-cran-igraph, r-cran-betareg, r-cran-doparallel, r-cran-mgcv, r-cran-glm2, r-cran-ordinal, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-ggraph, r-cran-labdsv, r-cran-tidygraph
Filename: pool/dists/focal/main/r-cran-ecocopula_1.0.2-1.ca2004.1_all.deb
Size: 259872
MD5sum: b7a470a5af1ce7e139246b50e4b4f968
SHA1: 94f21c5ee3b2221bcf75851004eeb025a6f39144
SHA256: f38d03558103dbc874507e357d175943edf15942fdf7f2056fd40ac328a12d03
SHA512: 8f31de81130958089a7712d2d5ae993ed2c6ce0dd5f5a5f08d11ff7e5b5bca195879dedae3b0021ca89c5999bdc5ea2a0e17fede0dbeb95c388e4dfa14db3169
Homepage: https://cran.r-project.org/package=ecoCopula
Description: CRAN Package 'ecoCopula' (Graphical Modelling and Ordination using Copulas)
 Creates 'graphs' of species associations (interactions) and ordination
 biplots from co-occurrence data by fitting discrete gaussian copula
 graphical models. Methods described in Popovic, GC., Hui, FKC., Warton, DI.,
 (2018) <doi:10.1016/j.jmva.2017.12.002>.

Package: r-cran-ecode
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-rlang, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ecode_0.1.0-1.ca2004.1_all.deb
Size: 180772
MD5sum: 7ab5acc854c96bfe0efae541ab81c109
SHA1: 7fa0a53d2490e70c2ea67c25faf07dbbcf9cfaf1
SHA256: 903ff6eb6a8fe39117e1d5f151a4128f596410a0d126389048a513f10cc81406
SHA512: 3430abc66abc00b2a37e71e1a5132851aaf14fe82b5fbaf053ec16f300e5aae6a73392b802c45d2206d554a769652d0bb217241e603f286ede1d1bac41c13eb1
Homepage: https://cran.r-project.org/package=ecode
Description: CRAN Package 'ecode' (Ordinary Differential Equation Systems in Ecology)
 A framework to simulate ecosystem dynamics through ordinary differential
 equations (ODEs).  You create an ODE model, tells 'ecode' to explore its
 behaviour, and perform numerical simulations on the model. 'ecode' also
 allows you to fit model parameters by machine learning algorithms. Potential
 users include researchers who are interested in the dynamics of ecological
 community and biogeochemical cycles.

Package: r-cran-ecodiet
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2649
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-coda, r-cran-jagsui, r-cran-ggmcmc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecodiet_2.0.1-1.ca2004.1_all.deb
Size: 2023852
MD5sum: 875f081fbadb09e82b4f6616db8fa135
SHA1: 11fc13c7974db85d584289a87f16eacd0135560c
SHA256: 76bdd6c3833fd1c66f141e0c5433987008ee631f1147b2001fdd59c51f1cfc1b
SHA512: eedd0b60740b261a2df6648119b926e54715094a85378b75e1e2b23845708fd49d0a07cb1c8dfd9a428ebb1d8b6e6858c475730dd6f1a4cdcd501845eaf151a4
Homepage: https://cran.r-project.org/package=EcoDiet
Description: CRAN Package 'EcoDiet' (Estimating a Diet Matrix from Biotracer and Stomach Content Data)
 Biotracers and stomach content analyses are combined in a Bayesian
 hierarchical model to estimate a probabilistic topology matrix (all trophic
 link probabilities) and a diet matrix (all diet proportions).  The package
 relies on the JAGS software and the 'jagsUI' package to run a Markov chain
 Monte Carlo approximation of the different variables.

Package: r-cran-ecohydmod
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ecohydmod_1.0.0-1.ca2004.1_all.deb
Size: 25844
MD5sum: 2b83cf817770b4f9d0089c96e31c459c
SHA1: 8bbd5af0799a126a393e2f81aec3f9c54d1caabf
SHA256: d28e80db64da490249ff079098b6b6f9a735b6a4706d55b85c893f3a8ee8710e
SHA512: 4a8d0c43ce0d45dc161ad6c1fffdfc05934807d90cee11612530906ba0bc3da10011e8ed37519823378dcb4913243d6696635d730aeeab56d404dc95f7a56634
Homepage: https://cran.r-project.org/package=Ecohydmod
Description: CRAN Package 'Ecohydmod' (Ecohydrological Modelling)
 Simulates the soil water balance (soil moisture, evapotranspiration, leakage
 and runoff), rainfall series by using the marked Poisson process and the
 vegetation growth through the normalized difference vegetation index (NDVI).
 Please see Souza et al. (2016) <doi:10.1002/hyp.10953>.

Package: r-cran-ecohydrology
Architecture: all
Version: 0.4.12.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 835
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-operators, r-cran-topmodel, r-cran-deoptim, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ecohydrology_0.4.12.1-1.ca2004.1_all.deb
Size: 814648
MD5sum: 8e05db4d7ce123487bf81deec22b6a39
SHA1: 30d738f3e6ae07fd5379b867071bb537181a82d8
SHA256: 47d039a304780cfa41bb9f7d28cbcf11b115c939aa1801d2f7560a67413ca0c9
SHA512: 17d6ff7820da9eba0bf76b7c6ccd18086dd41810f2f0f96168cca04cacef4f3b85d7945f103cd7746c8d506a622f8530a774eecfefd2c546ad5ec121a88ebc5b
Homepage: https://cran.r-project.org/package=EcoHydRology
Description: CRAN Package 'EcoHydRology' (A Community Modeling Foundation for Eco-Hydrology)
 Provides a flexible foundation for scientists, engineers, and policy makers
 to base teaching exercises as well as for more applied use to model complex
 eco-hydrological interactions.

Package: r-cran-ecoindr
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1086
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-picante, r-cran-rarity, r-cran-vegan, r-cran-splancs, r-cran-fd
Suggests: r-cran-shape, r-cran-plotrix, r-cran-sp, r-cran-geor, r-cran-mgcv, r-cran-raster, r-cran-alphahull, r-cran-sf
Filename: pool/dists/focal/main/r-cran-ecoindr_2.0-1.ca2004.1_all.deb
Size: 931068
MD5sum: 057ca0018e25ed81047df2b301c90097
SHA1: 5b593c70266f8c99aaf1bb8599c3b4594e44ff96
SHA256: 074cfa5c2d9fb464f727d49661d223ce56dae0d2beacb94bed46b4a7c6d00642
SHA512: 5a297df064e3f12a395dd4947c89430aa8878df48e3f4c8afce5ebfa6be7d098e46b025ad109629e6810a60641d9c8d26dcadf03cd05e970afb6814b6cdd33f5
Homepage: https://cran.r-project.org/package=EcoIndR
Description: CRAN Package 'EcoIndR' (Ecological Indicators)
 Calculates several indices, such as of diversity, fluctuation, etc., and
 they are used to estimate ecological indicators.

Package: r-cran-ecol
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-e1071, r-cran-fnn, r-cran-igraph, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecol_0.3.0-1.ca2004.1_all.deb
Size: 119304
MD5sum: 60bcb07a8dde200110a2664747867dc1
SHA1: 2455fe4e567b2141c8e89b59f05f1313ae537089
SHA256: ccb0cfaf947f3b963077c07683c61d52c8d2391d1181ddfe66abf73823e5c1c9
SHA512: f758ca82ac43678debe3b788385d433d3a117d7b3260ef8c9ab2d8c14699623408366ca2f22b7ccdd7178216027826d47253a27ae9a73d467d40f94eaf8f0539
Homepage: https://cran.r-project.org/package=ECoL
Description: CRAN Package 'ECoL' (Complexity Measures for Supervised Problems)
 Provides measures to characterize the complexity of classification and
 regression problems based on aspects that quantify the linearity of the
 data, the presence of informative feature, the sparsity and dimensionality
 of the datasets. This package provides bug fixes, generalizations and
 implementations of many state of the art measures. The measures are
 described in the papers: Lorena et al. (2019) <doi:10.1145/3347711> and
 Lorena et al. (2018) <doi:10.1007/s10994-017-5681-1>.

Package: r-cran-ecolottery
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abc, r-cran-ggplot2
Suggests: r-cran-ape, r-cran-knitr, r-cran-picante, r-cran-rmarkdown, r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-ecolottery_1.0.1-1.ca2004.1_all.deb
Size: 208068
MD5sum: 963ab2eacdde1bb48054de33a7f42218
SHA1: 3f925dd4ef1baac92a2ce0cbad93d2b03dc6703b
SHA256: fd4af4efddedd96ae286aef9605633c9515ceeabd9fa7b0c8788af025cdef5ef
SHA512: 33941ccb97dfe41dc6e9e68b14e8a0c66e673890ee2a6987a5cb1af34330ba0783a72347be4b5d13c35778c7c52933f65ccf19d31e6e313288ce3c87908a2940
Homepage: https://cran.r-project.org/package=ecolottery
Description: CRAN Package 'ecolottery' (Coalescent-Based Simulation of Ecological Communities)
 Coalescent-Based Simulation of Ecological Communities as proposed by Munoz
 et al. (2018) <doi:10.1111/2041-210X.12918>. The package includes a tool for
 estimating parameters of community assembly by using Approximate Bayesian
 Computation.

Package: r-cran-ecolrxc
Architecture: all
Version: 0.1.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ecolrxc_0.1.1-10-1.ca2004.1_all.deb
Size: 139992
MD5sum: 1c49813eab19feacd06d4aeef5f96fc8
SHA1: 64671f12bbcd38e26181288e671279c956af109d
SHA256: f739bbabc0927197422615b9d9283471c97261b7e09eefa46894235f00b56c92
SHA512: 270a8caed5a8d1771a10579c5fe5a7a83c88304b07d16cc5a77aa2f4fac3fb5d1c7c082fcf9fb8da777876ff958b0598f41715f1bee19b2d112a59ec987e9e68
Homepage: https://cran.r-project.org/package=ecolRxC
Description: CRAN Package 'ecolRxC' (Ecological Inference of RxC Tables by Latent StructureApproaches)
 Estimates RxC (R by C) vote transfer matrices (ecological contingency
 tables) from aggregate data building on Thomsen (1987) and Park (2008)
 approaches.  References: Park, W.-H. (2008). ''Ecological Inference and
 Aggregate Analysis of Election''. PhD Dissertation. University of Michigan.
 <https://deepblue.lib.umich.edu/bitstream/handle/2027.42/58525/wpark_1.pdf>
 Thomsen, S.R. (1987, ISBN:87-7335-037-2). ''Danish Elections 1920 79: a
 Logit Approach to Ecological Analysis and Inference''. Politica, Aarhus,
 Denmark.

Package: r-cran-ecoltest
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ecoltest_0.0.1-1.ca2004.1_all.deb
Size: 30656
MD5sum: 09b9a2a7304f5c8bc54d3ee0d5bb06b9
SHA1: e4abc7b8102b3178cfc230c000be0c6d9ee5b8e9
SHA256: a693dbd1894b1dbe31ba001532e9e3fdefcafd0cb6958e8dc982e1e8d1bf4792
SHA512: 9c730643e2e169fda11f05d76e3a0424c3c50d5ca0f5cfa2bc3872a81f53a34673df1e12d69f929582de348c36786e8c60195676a3d939c8bde939233f2e328e
Homepage: https://cran.r-project.org/package=ecolTest
Description: CRAN Package 'ecolTest' (Community Ecology Tests)
 Functions and data sets to perform and demonstrate community ecology
 statistical tests, including Hutcheson's t-test (Hutcheson (1970)
 <doi:10.1016/0022-5193(70)90124-4>, Zar (2010) ISBN:9780321656865).

Package: r-cran-ecometrics
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-forecast, r-cran-ggplot2, r-cran-insight, r-cran-lmtest, r-cran-moments, r-cran-tibble, r-cran-tseries
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ecometrics_0.1.1-1.ca2004.1_all.deb
Size: 110676
MD5sum: 1144d2364b386dc0763c33271c9278cd
SHA1: 2d3111614e14c1865ba8f5a821d569bed28872c2
SHA256: a865d1eb4d55e543c32ce2e64bd5ac8383690cff19567145c3a2bffc7bd47274
SHA512: 279de0314acd823e78c88de9b3b7611c27429dce7eaa5d06304d1998b9c563e9a2ba4103cf1d87ac120cec25d2f40be54eb0286fcc3939126255dd4e1d2e6800
Homepage: https://cran.r-project.org/package=EcoMetrics
Description: CRAN Package 'EcoMetrics' (Econometrics Model Building)
 An intuitive and user-friendly package designed to aid undergraduate
 students in understanding and applying econometric methods in their studies,
 Tailored specifically for Econometrics and Regression Modeling courses, it
 provides a practical toolkit for modeling and analyzing econometric data
 with detailed inference capabilities.

Package: r-cran-econandprodefficiency
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-econandprodefficiency_0.1.0-1.ca2004.1_all.deb
Size: 12236
MD5sum: c31aeeaf36dce278c6180a56f3543f76
SHA1: a257e13b2f624f1f85d7c36337e5847e3625fd25
SHA256: 2ab24ee0101dd0bd2f5fa6b06b17b6a7243311c88cc5fd599675a60cc21e3c99
SHA512: d5a541b9cb2df8353b8ac9f11960753e768cfd68ea074ee0ca59f207951f2151235439bdd76cddbaa05c132387f93650e808fec3b18c10a98ca020bef6533ffe
Homepage: https://cran.r-project.org/package=EconAndProdEfficiency
Description: CRAN Package 'EconAndProdEfficiency' (Economic and Production Efficiency)
 Production efficiency and economic efficiency are crucial concepts in
 agriculture/horticulture for sustainable and profitable practices. It helps
 to determine the optimal use of resources to maximize outputs and
 profitability. Production efficiency focuses on the optimal use of resources
 to produce goods, while economic efficiency ensures these goods are produced
 and allocated in a way that maximizes economic welfare. Production
 efficiency and economic efficiency are calculated with the help of the
 formula given by (Kumar et al., 2017) <doi:10.21921/jas.v4i04.10202>.

Package: r-cran-econdemand
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-econdemand_1.0-1.ca2004.1_all.deb
Size: 24872
MD5sum: 19330f1a9589bf7436921720adccd92c
SHA1: 3ebfee9d1671c560aa24cb63a96072976ba46ecd
SHA256: 21eec7565020c17aeb8e9ea67120fe8337b9f113a7b77f5e45a4873f778e67d4
SHA512: 872223226ea49db6aacd4d27551c3446e951ace3a4c8bfb85b480e178ef96ec5835337643249f35ea23c4b7ab186dcfa253b252f540b9af0b9e1a13926fd1f7c
Homepage: https://cran.r-project.org/package=EconDemand
Description: CRAN Package 'EconDemand' (General Analysis of Various Economics Demand Systems)
 Tools for general properties including price, quantity, elasticity,
 convexity, marginal revenue and manifold of various economics demand systems
 including Linear, Translog, CES, LES and CREMR.

Package: r-cran-econet
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1438
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-igraph, r-cran-intergraph, r-cran-formula.tools, r-cran-matrix, r-cran-mass, r-cran-minpack.lm, r-cran-sna, r-cran-spatstat.utils, r-cran-plyr, r-cran-dplyr, r-cran-doparallel, r-cran-progressr, r-cran-foreach
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-econet_1.0.0.1-1.ca2004.1_all.deb
Size: 1103016
MD5sum: 84b313f272bacbc8592c58bfa88ff259
SHA1: afaad08053b288c92b88752d561fa87774c08ab3
SHA256: cd5bb033952aca16dcf9997ef26757df26a034fc5a4ef3925e28f25b8ef3cd78
SHA512: 34ca570b7c0f03d87f5440252763b8b0f6560e507f7c3192b5b20b2c5673d351c2652aa345069071aface38b0fcb6765e9b69d859b57fdbc0218b84941f746ac
Homepage: https://cran.r-project.org/package=econet
Description: CRAN Package 'econet' (Estimation of Parameter-Dependent Network Centrality Measures)
 Provides methods for estimating parameter-dependent network centrality
 measures with linear-in-means models. Both non linear least squares and
 maximum likelihood estimators are implemented. The methods allow for both
 link and node heterogeneity in network effects, endogenous network formation
 and the presence of unconnected nodes. The routines also compare the
 explanatory power of parameter-dependent network centrality measures with
 those of standard measures of network centrality. Benefits and features of
 the 'econet' package are illustrated using data from Battaglini and
 Patacchini (2018) and Battaglini, Patacchini, and Leone Sciabolazza (2020).
 For additional details, see the vignette <doi:10.18637/jss.v102.i08>.

Package: r-cran-econgeo
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-econgeo_2.0-1.ca2004.1_all.deb
Size: 204736
MD5sum: 9f2bf0541dd3d30c675dd251d7aa2269
SHA1: bfe108c3ae83e9cd910430f83b3754e80fcdd13e
SHA256: 9bee9c2d6c4fea109ddfa1dfcd5644f1f9b4bceb273adbe1a368538eb48c6492
SHA512: d7e0bedb6b29c116c5e9ddba72b30c98b843b97495df6a337f7f506e67f74332f4bface5df98d1f11a53d71e7a2017a0f457622e2626a5e7a8a2ff5418bd7679
Homepage: https://cran.r-project.org/package=EconGeo
Description: CRAN Package 'EconGeo' (Computing Key Indicators of the Spatial Distribution of EconomicActivities)
 Computes a series of indices commonly used in the fields of economic
 geography, economic complexity, and evolutionary economics to describe the
 location, distribution, spatial organization, structure, and complexity of
 economic activities. Functions include basic spatial indicators such as the
 location quotient, the Krugman specialization index, the Herfindahl or the
 Shannon entropy indices but also more advanced functions to compute
 different forms of normalized relatedness between economic activities or
 network-based measures of economic complexity. Most of the functions use
 matrix calculus and are based on bipartite (incidence) matrices consisting
 of region - industry pairs. These are described in Balland (2017)
 <http://econ.geo.uu.nl/peeg/peeg1709.pdf>.

Package: r-cran-econid
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-purrr, r-cran-fuzzyjoin, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-stringr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-econid_0.0.1-1.ca2004.1_all.deb
Size: 386576
MD5sum: 55000aeb77bb452e8c1f69e451f1e615
SHA1: e985b0b1188a7b8f7333b827fb8e0d15e076177a
SHA256: 5c15359559e418ff458a2888004357b92b5832d0c2d044ba780e29cf322af5b6
SHA512: dfd0ab5a95927de00aec79ed7d329c61451711cc21a80bd9206897d78a5d49afeee1f9a3639b570f013dcd50ba2f2f02291497f9b15ba95c826f09d5fe427b3c
Homepage: https://cran.r-project.org/package=econid
Description: CRAN Package 'econid' (Economic Entity Identifier Standardization)
 Provides utility functions for standardizing economic entity (economy,
 aggregate, institution, etc.) name and id in economic datasets such as those
 published by the International Monetary Fund and World Bank. Aims to
 facilitate consistent data analysis, reporting, and joining across datasets.
 Used as a foundational building block in the 'econdataverse' family of
 packages (<https://www.econdataverse.org>).

Package: r-cran-econullnetr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-bipartite, r-cran-gtools
Suggests: r-cran-igraph, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-econullnetr_0.2.1-1.ca2004.1_all.deb
Size: 208664
MD5sum: b12ad84c8dd1019be40b9c30291a9553
SHA1: 02d38683d7c47f87b3402083eb77a58cff7d4e7f
SHA256: 91e8f365c5e57cf8ef812a5a6613f026440af9b16760647bc42b54efb079da25
SHA512: 04829b5e9f097f28b9448d0f873cff65ac9aa6e11cf72109938021cacb5061d28594cf9e37af66dcfea4d14145bb2eb7108f4bb3dbbde44304ed38a59ecc5658
Homepage: https://cran.r-project.org/package=econullnetr
Description: CRAN Package 'econullnetr' (Null Model Analysis for Ecological Networks)
 Tools for using null models to analyse ecological networks (e.g. food webs,
 flower-visitation networks, seed-dispersal networks) and detect resource
 preferences or non-random interactions among network nodes. Tools are
 provided to run null models, test for and plot preferences, plot and analyse
 bipartite networks, and export null model results in a form compatible with
 other network analysis packages. The underlying null model was developed by
 Agusti et al. (2003) Molecular Ecology
 <doi:10.1046/j.1365-294X.2003.02014.x> and the full application to
 ecological networks by Vaughan et al. (2018) econullnetr: an R package using
 null models to analyse the structure of ecological networks and identify
 resource selection. Methods in Ecology & Evolution,
 <doi:10.1111/2041-210X.12907>.

Package: r-cran-ecopower
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1978
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvabund, r-cran-ecocopula
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-ecopower_0.2.0-1.ca2004.1_all.deb
Size: 936648
MD5sum: 81e972bde107da4aa120157aa1587076
SHA1: 2f55911c20be71b67f919d7b7c9999f5b3af40da
SHA256: d299b25de2be01d9d113db0086447662ad8e214bb4c9c4b2c747635362a136e1
SHA512: e556f3b5d696079b875016dee6bcf39e6225c102a02c863e035ce67f9fa0196c4aa5f56b73ea0892722867ee650c548a802f8cf2b29262f0a9717e802d055862
Homepage: https://cran.r-project.org/package=ecopower
Description: CRAN Package 'ecopower' (Power Estimates and Equivalence Testing for Multivariate Data)
 Estimates power by simulation for multivariate abundance data to be used for
 sample size estimates. Multivariate equivalence testing by simulation from a
 Gaussian copula model.  The package also provides functions for
 parameterising multivariate effect sizes and simulating multivariate
 abundance data jointly. The discrete Gaussian copula approach is described
 in Popovic et al. (2018) <doi:10.1016/j.jmva.2017.12.002>.

Package: r-cran-ecoreg
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ecoreg_0.2.5-1.ca2004.1_all.deb
Size: 342812
MD5sum: a7e0e7505a7ba311da0eee10484a2015
SHA1: 3f3f441c2e01a07a3679f0c38d4061cc41e6eeca
SHA256: 4bb730f3b9cd9b5a5ea80d9436bdb155cb5fba4ae3f1d26b6d4cbedac5b152c8
SHA512: 1ed9e65211de56f6c2898099869f71cd17d7dd78479a4176fe0a3a5c291afa5ce9f43989669baf227b9a0357e131d29c89459e81c017e7216f3c1d80aa384577
Homepage: https://cran.r-project.org/package=ecoreg
Description: CRAN Package 'ecoreg' (Ecological Regression using Aggregate and Individual Data)
 Estimating individual-level covariate-outcome associations using aggregate
 data ("ecological inference") or a combination of aggregate and
 individual-level data ("hierarchical related regression").

Package: r-cran-ecoregime
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1893
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-data.table, r-cran-ecotraj, r-cran-shape, r-cran-smacof, r-cran-stringr
Suggests: r-cran-knitr, r-cran-plotrix, r-cran-primer, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat, r-cran-vegan, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-ecoregime_0.2.1-1.ca2004.1_all.deb
Size: 1261344
MD5sum: 84bafb28f82c88c9fda12b0c34dfab3e
SHA1: 12f4b2508721702bfeb13782d7c8c0d10c3f40d2
SHA256: c8cde1c4814d8875b152a1ebba5a05df421ffbf5bf90ab186d275e65facc2b3e
SHA512: 6a11832626eff8ea0bd32de59caf4d74c0c4ee5c5d0bed161724a5004eecc0adfadd572a0cd3db51e7921fed2222c3788c4de525de0c512941b8a5ae1741f798
Homepage: https://cran.r-project.org/package=ecoregime
Description: CRAN Package 'ecoregime' (Analysis of Ecological Dynamic Regimes)
 A toolbox for implementing the Ecological Dynamic Regime framework
 (Sánchez-Pinillos et al., 2023 <doi:10.1002/ecm.1589>) to characterize and
 compare groups of ecological trajectories in multidimensional spaces defined
 by state variables. The package includes the RETRA-EDR algorithm to identify
 representative trajectories, functions to generate, summarize, and visualize
 representative trajectories, and several metrics to quantify the
 distribution and heterogeneity of trajectories in an ecological dynamic
 regime and quantify the dissimilarity between two or more ecological dynamic
 regimes. The package also includes a set of functions to assess ecological
 resilience based on ecological dynamic regimes (Sánchez-Pinillos et al.,
 2024 <doi:10.1016/j.biocon.2023.110409>).

Package: r-cran-ecorest
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-ecorest_2.0.0-1.ca2004.1_all.deb
Size: 183488
MD5sum: 6d91a366b1136fcda895986698b6f82b
SHA1: ffbbcd80c418ae60b5d497322b95887263ed9223
SHA256: a6601d91e43626d7b546f0e0d4da1fd7fafb9c56ae2252dd54e8de6de34b23e0
SHA512: 9487364a1655cd07b08299c892af072266bec2618d0ffb16b231a3e17e269f8b012c7c9582d1399abcb111f8fc23de082b3bcf6d7582a8c9fe067e9507fc0806
Homepage: https://cran.r-project.org/package=ecorest
Description: CRAN Package 'ecorest' (Conducts Analyses Informing Ecosystem Restoration Decisions)
 Three sets of data and functions for informing ecosystem restoration
 decisions, particularly in the context of the U.S. Army Corps of Engineers.
 First, model parameters are compiled as a data set and associated metadata
 for over 300 habitat suitability models developed by the U.S. Fish and
 Wildlife Service (USFWS 1980, <https://www.fws.gov/policy-library/870fw1>).
 Second, functions for conducting habitat suitability analyses both for the
 models described above as well as generic user-specified model
 parameterizations.  Third, a suite of decision support tools for conducting
 cost-effectiveness and incremental cost analyses (Robinson et al. 1995, IWR
 Report 95-R-1, U.S.  Army Corps of Engineers).

Package: r-cran-ecorisk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1845
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-colorspace, r-cran-forecast, r-cran-geomtextpath, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-mgcv, r-cran-rlang, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ecorisk_0.1.1-1.ca2004.1_all.deb
Size: 1240716
MD5sum: 0dad6c934ae507f12c31dbff009710a1
SHA1: bee27338da7a2dcdeb36580f09d07bc88df6f906
SHA256: a150404d6a21051e3669db93898c0191717ab36e270fe6d05ae1316c5a1a183f
SHA512: ed8c55a6470814cc2c211aa48b30a30dffa4229569df082ded6bfc5062cce93acddf2ada67e77a91209d12a9882c5f3ec2aa7ad2a9623146a602f701c1fbf9f1
Homepage: https://cran.r-project.org/package=ecorisk
Description: CRAN Package 'ecorisk' (Risk Assessments for Ecosystems or Ecosystem Components)
 Implementation of a modular framework for ecosystem risk assessments,
 combining existing risk assessment approaches tailored to semi-quantitative
 and quantitative analyses.

Package: r-cran-ecos
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ecos_0.1.6-1.ca2004.1_all.deb
Size: 300524
MD5sum: 59bc5b1059e206f400d500a22f4bfdd6
SHA1: 15065004bdff601d1520173460c0a587fe64a287
SHA256: 53453b4ca8fad423f3aaa2f79eeabbf8b36f8b7ca2d7c1b66158fff6bcdcc7c5
SHA512: feb8937ca0168b701c615de76696cb651af395eb2ca64d0f928232f2627dac90168f131ba71e58b19122b2a0db4ef20388d69582ba9946b2dde61c8c6e7750a8
Homepage: https://cran.r-project.org/package=ecos
Description: CRAN Package 'ecos' (Economic Statistics System of the Bank of Korea)
 API wrapper to download statistical information from the Economic Statistics
 System (ECOS) of the Bank of Korea <https://ecos.bok.or.kr/api/#/>.

Package: r-cran-ecosim
Architecture: all
Version: 1.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desolve, r-cran-stoichcalc
Filename: pool/dists/focal/main/r-cran-ecosim_1.3-4-1.ca2004.1_all.deb
Size: 113680
MD5sum: 50730ba849a877350d01f987573b3adc
SHA1: 7ac37f25a7662e578708fec3393b3893b36e4ea7
SHA256: 21d047343ec69b812ca130d69791e15cda82680fdbfa108927f00e55340fedb9
SHA512: 8acc4ab64de97a645a69bf1447f8cb5fcc1c3c08982cf43f3ae2ecda582b0b7f8a0a2f392af6d6f8c20169fc2deeca474355e0eac6bd6a824e02e1cd9df57ad0
Homepage: https://cran.r-project.org/package=ecosim
Description: CRAN Package 'ecosim' (Toolbox for Aquatic Ecosystem Modeling)
 Classes and methods for implementing aquatic ecosystem models, for running
 these models, and for visualizing their results.

Package: r-cran-ecospace
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fd
Suggests: r-cran-vegan, r-cran-knitr, r-cran-rmarkdown, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ecospace_1.4.2-1.ca2004.1_all.deb
Size: 207696
MD5sum: 55fdef602de4ea484123ade8b5b79cc0
SHA1: 94475dbd9f0dcc54c231085b43a849003cc29f37
SHA256: 899f682e2aebc12a72e57d487d503bdae0bfa888412466bf3c167cd29fa03554
SHA512: d3f1e032865ac394dad211631e0bd276989a3b42fae82dda43353f3efb738d80aad093ca338f03b6e15c830ab02a9e819dd30c841a11bfda8fd922805d5cab06
Homepage: https://cran.r-project.org/package=ecospace
Description: CRAN Package 'ecospace' (Simulating Community Assembly and Ecological DiversificationUsing Ecospace Frameworks)
 Implements stochastic simulations of community assembly (ecological
 diversification) using customizable ecospace frameworks (functional trait
 spaces). Provides a wrapper to calculate common ecological disparity and
 functional ecology statistical dynamics as a function of species richness.
 Functions are written so they will work in a parallel-computing environment.

Package: r-cran-ecospat
Architecture: all
Version: 4.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1912
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-gbm, r-cran-foreach, r-cran-adehabitathr, r-cran-adehabitatma, r-cran-biomod2, r-cran-dismo, r-cran-ecodist, r-cran-terra, r-cran-gtools, r-cran-presenceabsence, r-cran-classint, r-cran-vegan, r-cran-poibin, r-cran-matrixstats, r-cran-ks, r-cran-nabor, r-cran-hmisc
Suggests: r-cran-rjava, r-cran-knitr, r-cran-alphahull, r-cran-snowfall, r-cran-dplyr, r-cran-maps, r-cran-rms, r-cran-sp, r-cran-ape, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-ecospat_4.1.2-1.ca2004.1_all.deb
Size: 1743384
MD5sum: 33f96c40d0a658ed82c12a1b97c6d995
SHA1: 1ab8f0211d885cf4b11c25f1db2f984be8269bcf
SHA256: f4d37e8af80f5a57c357b0821ce6940f95850683e44608461394c94d9be98bf6
SHA512: 40f6ae2bcb9469d23065c3f09d2ef2de199c030193bd96e4026ea1c037e0debe4873ec7f3242b139e4f2f3c4fc41d4530b55a676fb398c7a103afcad062078b4
Homepage: https://cran.r-project.org/package=ecospat
Description: CRAN Package 'ecospat' (Spatial Ecology Miscellaneous Methods)
 Collection of R functions and data sets for the support of spatial ecology
 analyses with a focus on pre, core and post modelling analyses of species
 distribution, niche quantification and community assembly. Written by
 current and former members and collaborators of the ecospat group of Antoine
 Guisan, Department of Ecology and Evolution (DEE) and Institute of Earth
 Surface Dynamics (IDYST), University of Lausanne, Switzerland. Read Di Cola
 et al. (2016) <doi:10.1111/ecog.02671> for details.

Package: r-cran-ecostate
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rtmb, r-cran-tmb, r-cran-mass, r-cran-checkmate, r-cran-ggplot2, r-cran-ggnetwork, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ecostate_0.2.0-1.ca2004.1_all.deb
Size: 188560
MD5sum: 9a6bf2d2d8691c2fbe36db4608f879a1
SHA1: a72f5d64594040614b5e59064ac626b6ed3dc93c
SHA256: d0823beef6fb14188722795342827008c380f2bf58864aad4cecabc908ed22a3
SHA512: 36f898a4f4150f903c2bb46f3046cfe5a8321d61d81aa64f8692febf655cb80855a30aaecd7e4e391ae8051510ea4814ef0dd6bae6b03b00b611629ce8858c23
Homepage: https://cran.r-project.org/package=ecostate
Description: CRAN Package 'ecostate' (State-Space Mass-Balance Model for Marine Ecosystems)
 Fits a state-space mass-balance model for marine ecosystems, which
 implements dynamics derived from 'Ecopath with Ecosim'
 <https://ecopath.org/> while fitting to time-series of fishery catch,
 biomass indices, age-composition samples, and weight-at-age data. Package
 'ecostate' fits biological parameters (e.g., equilibrium mass) and
 measurement parameters (e.g., catchability coefficients) jointly with
 residual variation in process errors, and can include Bayesian priors for
 parameters.

Package: r-cran-ecostats
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4735
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvabund, r-cran-ecocopula, r-cran-get, r-cran-mass, r-cran-mgcv, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ade4, r-cran-caper, r-cran-car, r-cran-corrplot, r-cran-daag, r-cran-dharma, r-cran-dplyr, r-cran-gclus, r-cran-ggally, r-cran-ggplot2, r-cran-ggthemes, r-cran-glmnet, r-cran-gllvm, r-cran-glmmtmb, r-cran-gparotation, r-cran-grplasso, r-cran-lattice, r-cran-leaps, r-cran-lme4, r-cran-mcmcglmm, r-cran-multcomp, r-cran-nlme, r-cran-ordinal, r-cran-permute, r-cran-pgirmess, r-cran-phylobase, r-cran-phylosignal, r-cran-psych, r-cran-reshape2, r-cran-smatr, r-cran-testthat, r-cran-vegan, r-cran-vgam, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ecostats_1.2.2-1.ca2004.1_all.deb
Size: 2619272
MD5sum: fff987d3cd8955e37415448030ca2df3
SHA1: 45765e55067624e1c1370f2d5f3affdc124e59c7
SHA256: 46fe8a647da2d9603a295ee7d3b788dd20265565072a14b3a4963aa65b583845
SHA512: bbb500ad545ba62fa3ef87a95173f83cfafcc1500abc6746906ba7f05c93f71248706e43dc990e8d8d95b4d133ff6bf9990ef923e5385bf74101d6824b3ad0ab
Homepage: https://cran.r-project.org/package=ecostats
Description: CRAN Package 'ecostats' (Code and Data Accompanying the Eco-Stats Text (Warton 2022))
 Functions and data supporting the Eco-Stats text (Warton, 2022, Springer),
 and solutions to exercises. Functions include tools for using simulation
 envelopes in diagnostic plots, and a function for diagnostic plots of
 multivariate linear models. Datasets mentioned in the package are included
 here (where not available elsewhere) and there is a vignette for each
 chapter of the text with solutions to exercises.

Package: r-cran-ecostatscale
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-ecostatscale_1.1-1.ca2004.1_all.deb
Size: 48904
MD5sum: c4b2a3cdb43a12f1ab4993ed4b8bceb9
SHA1: 14084a28033a584861fb0964d2cf1ca89a70a4f2
SHA256: 67fc23a4c0399cb4b279a6cd9c673c8d6c339765d2d5277f53057dc6d0098e01
SHA512: 810c172c26d1ad93ce1a39ae6037de94d55a2ad3c4b9336029a7d9e945b6763bb2221d6874036c87c49e5012e68b0459d073ae428cbec09b611d66c4aaafe19c
Homepage: https://cran.r-project.org/package=ecostatscale
Description: CRAN Package 'ecostatscale' (Statistical Scaling Functions for Ecological Systems)
 Implementation of the scaling functions presented in "General statistical
 scaling laws for stability in ecological systems" by Clark et al in Ecology
 Letters <DOI:10.1111/ele.13760>. Includes functions for extrapolating
 variability, resistance, and resilience across spatial and ecological
 scales, as well as a basic simulation function for producing time series,
 and a regression routine for generating unbiased parameter estimates. See
 the main text of the paper for more details.

Package: r-cran-ecoteach
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecoteach_0.1.0-1.ca2004.1_all.deb
Size: 183336
MD5sum: 97a94f0926dfe8899b7dafabe7ae12ea
SHA1: 9a6471b8a720b1e56a0304bf27529c31f0bed018
SHA256: 766310718649169444eb3cd5ed7fb3dbef8212268e5dcb0f1fff3569dd0f8519
SHA512: 366b57233a83a740ffdd5af1097e2df13ab9cd22ea577e24b9a3c708e83e4a1582a1f077771a7c61f841a7dac041b873848f03c97681cdccb00ce626a0adcd07
Homepage: https://cran.r-project.org/package=ecoteach
Description: CRAN Package 'ecoteach' (Educational Datasets for Ecology and Agriculture)
 A collection of curated educational datasets for teaching ecology and
 agriculture concepts. Includes data on wildlife monitoring, plant
 treatments, and ecological observations with documentation and examples for
 educational use.  All datasets are derived from published scientific studies
 and are available under CC0 or compatible licenses.

Package: r-cran-ecotonefinder
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-colorspace, r-cran-corrplot, r-cran-e1071, r-cran-ggplot2, r-cran-qgraph, r-cran-igraph, r-cran-philentropy, r-cran-plyr, r-cran-purrr, r-cran-reshape, r-cran-rlang, r-cran-rmisc, r-cran-vegan, r-cran-vegclust, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-ecotonefinder_0.2.3-1.ca2004.1_all.deb
Size: 213484
MD5sum: 93f8616e5bbc42f007d2fe28c0c8b129
SHA1: fb5a66d1da3968b55d1a98a384ec7dac68950efa
SHA256: 3804de9e795bb9f194dbcf504edf9392a61c432a9206bce84c8d90da2874e3c9
SHA512: f7efd0225af60794270e0172e9285a5f829b2730d471dfa2e2438c029c6454a96e285fc8fb3b85bb11fd51d6ef96c9eaa87bcd4d01a2a29aed59149a6af165ba
Homepage: https://cran.r-project.org/package=EcotoneFinder
Description: CRAN Package 'EcotoneFinder' (Characterising and Locating Ecotones and Communities)
 Analytical methods to locate and characterise ecotones, ecosystems and
 environmental patchiness along ecological gradients. Methods are implemented
 for isolated sampling or for space/time series. It includes Detrended
 Correspondence Analysis (Hill & Gauch (1980) <doi:10.1007/BF00048870>),
 fuzzy clustering (De Cáceres et al. (2010)
 <doi:10.1080/01621459.1963.10500845>), biodiversity indices (Jost (2006)
 <doi:10.1111/j.2006.0030-1299.14714.x>), and network analyses (Epskamp et
 al. (2012) <doi:10.18637/jss.v048.i04>) - as well as tools to explore the
 number of clusters in the data. Functions to produce synthetic ecological
 datasets are also provided.

Package: r-cran-ecotox
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-covr, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-hmisc, r-cran-openxlsx, r-cran-readr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ecotox_1.4.4-1.ca2004.1_all.deb
Size: 90504
MD5sum: 0de96d613f9dc5285814fac57038c383
SHA1: aa120f456d91fd65405740ec648da957ddddce13
SHA256: b3f21c1b5e954627b54b97dae1258818166621a30031ea3f4201cf90ceb5c4b4
SHA512: 4cf945620c6a649c5be203cb3cb5f9b3658cb6ceeb5be42c1b3b2a7be25a68814436ca2fba5207a3c658c81d0180ef25e90f4976094d74dbb223097e5ed9af1a
Homepage: https://cran.r-project.org/package=ecotox
Description: CRAN Package 'ecotox' (Analysis of Ecotoxicology)
 A simple approach to using a probit or logit analysis to calculate lethal
 concentration (LC) or time (LT) and the appropriate fiducial confidence
 limits desired for selected LC or LT for ecotoxicology studies (Finney 1971;
 Wheeler et al. 2006; Robertson et al. 2007). The simplicity of 'ecotox'
 comes from the syntax it implies within its functions which are similar to
 functions like glm() and lm(). In addition to the simplicity of the syntax,
 a comprehensive data frame is produced which gives the user a predicted LC
 or LT value for the desired level and a suite of important parameters such
 as fiducial confidence limits and slope.  Finney, D.J. (1971, ISBN:
 052108041X); Wheeler, M.W., Park, R.M., and Bailer, A.J. (2006)
 <doi:10.1897/05-320R.1>; Robertson, J.L., Savin, N.E., Russell, R.M., and
 Preisler, H.K.  (2007, ISBN: 0849323312).

Package: r-cran-ecotoxicology
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ecotoxicology_1.0.1-1.ca2004.1_all.deb
Size: 211876
MD5sum: fe227e758ffcdd6f0f080ef30aa1aa0f
SHA1: 80480ba4a11958fec6b208ffa49c5971fc05a038
SHA256: 70c1d36b3dd5da5ffd3a28dea436a427d6a387bfec7932e6aa46c0ef6bc382cd
SHA512: c5b8a6b99c205a9b133b392160ec8c25bc956cd7572383af964fc23ab586c15d9b0f572a5e225bd677e0a16bfc6fc985cf05d906525bb77c28107cc2e9817a15
Homepage: https://cran.r-project.org/package=ecotoxicology
Description: CRAN Package 'ecotoxicology' (Methods for Ecotoxicology)
 Implementation of the EPA's Ecological Exposure Research Division (EERD)
 tools (discontinued in 1999) for Probit and Trimmed Spearman-Karber
 Analysis.  Probit and Spearman-Karber methods from Finney's book "Probit
 analysis a statistical treatment of the sigmoid response curve" with options
 for most accurate results or identical results to the book.  Probit and all
 the tables from Finney's book (code-generated, not copied) with the
 generating functions included.  Control correction: Abbott,
 Schneider-Orelli, Henderson-Tilton, Sun-Shepard.  Toxicity scales:
 Horsfall-Barratt, Archer, Gauhl-Stover, Fullerton-Olsen, etc.

Package: r-cran-ecotoxr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsqlite, r-cran-crayon, r-cran-dbplyr, r-cran-dplyr, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-purrr, r-cran-rappdirs, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-units
Suggests: r-cran-dbi, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-standartox, r-cran-testthat, r-cran-webchem
Filename: pool/dists/focal/main/r-cran-ecotoxr_1.2.1-1.ca2004.1_all.deb
Size: 504368
MD5sum: be4f1edc2f102c8a477931487ca8b1a0
SHA1: 3c821299d17578b73caf9dfe79eccee4abac6a8d
SHA256: e121fd335436042afa834ba9c9f01a3aeb4fec58d50f7230b36d590f1994a0c1
SHA512: 4539ddc94e8aaa8e65a8630700495322cbb3d6039db7e531b5a8f169ffbae94f1169144521a6e9ade5c5c7fe0eaf6b6576309b7dc9e2a9f7037aa0290b551ce4
Homepage: https://cran.r-project.org/package=ECOTOXr
Description: CRAN Package 'ECOTOXr' (Download and Extract Data from US EPA's ECOTOX Database)
 The US EPA ECOTOX database is a freely available database with a treasure of
 aquatic and terrestrial ecotoxicological data.  As the online search
 interface doesn't come with an API, this package provides the means to
 easily access and search the database in R. To this end, all raw tables are
 downloaded from the EPA website and stored in a local SQLite database
 <doi:10.1016/j.chemosphere.2024.143078>.

Package: r-cran-ecotrends
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-collinear, r-cran-fuzzysim, r-cran-maxnet, r-cran-modeva, r-cran-terra, r-cran-trend
Filename: pool/dists/focal/main/r-cran-ecotrends_1.0-1.ca2004.1_all.deb
Size: 942232
MD5sum: 9b9c59ad6bb63cb31db377ae1229bc6e
SHA1: b7505df0697eade4ff6530bc0eee8652f437cbc8
SHA256: 64a4b87b56d126927979d50ec8014a2703939931674f1dc866f2b2e0cbb55baf
SHA512: 527d137d85010a99d9adcab96246bf9a837f33499d1b2c86cfc4dae483c588bb55b0a8462ecf33c7447a29091b9fbf74fd208d4ef3bc88bf4d07fe3f4960c1c5
Homepage: https://cran.r-project.org/package=ecotrends
Description: CRAN Package 'ecotrends' (Temporal Trends in Ecological Niche Models)
 Computes temporal trends in environmental suitability obtained from
 ecological niche models, based on a set of species presence point
 coordinates and predictor variables.

Package: r-cran-ecotroph
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ecotroph_1.6.1-1.ca2004.1_all.deb
Size: 153600
MD5sum: 7a5d3de879d6f3a0f167ce39af43eac9
SHA1: 47ad269eeea69d6c4c0fb66b9353e478b08ec38b
SHA256: 8dc349d5f575f06c2a57218d194ac19fe44516d7ea36807eb01719223ed9b4e2
SHA512: 8815807e894c85d119fca3a1476270ace8239d321d908e859933491f024950f133953a4e449839335a72d82e079673653ade214dd2f1af28bb427ae1bdde9885
Homepage: https://cran.r-project.org/package=EcoTroph
Description: CRAN Package 'EcoTroph' (An Implementation of the EcoTroph Ecosystem Modelling Approach)
 An approach and software for modelling marine and freshwater ecosystems. It
 is articulated entirely around trophic levels. EcoTroph's key displays are
 bivariate plots, with trophic levels as the abscissa, and biomass flows or
 related quantities as ordinates. Thus, trophic ecosystem functioning can be
 modelled as a continuous flow of biomass surging up the food web, from lower
 to higher trophic levels, due to predation and ontogenic processes. Such an
 approach, wherein species as such disappear, may be viewed as the ultimate
 stage in the use of the trophic level metric for ecosystem modelling,
 providing a simplified but potentially useful caricature of ecosystem
 functioning and impacts of fishing. This version contains catch trophic
 spectrum analysis (CTSA) function and corrected versions of the mf.diagnosis
 and create.ETmain functions.

Package: r-cran-ecoval
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 960
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-utility, r-cran-rivernet, r-cran-jpeg, r-cran-fs
Filename: pool/dists/focal/main/r-cran-ecoval_1.2.9-1.ca2004.1_all.deb
Size: 663472
MD5sum: 281b3148bf4f82d0b081e3d51f381fd2
SHA1: 14ef45dcb15fc81f385a3399f381960005e5de12
SHA256: b9fae04967926ff3a48cfb516bdf8d8428de5a20f29ba66b9fcb21943b4af774
SHA512: beede389ba7f193aad8ae3432ebcff0fb28ce5a40436ae461d52f376f242bc596059b6a422a87a8f64d152695be6b548c91b8977196d7d0951510c7670aa47ff
Homepage: https://cran.r-project.org/package=ecoval
Description: CRAN Package 'ecoval' (Procedures for Ecological Assessment of Surface Waters)
 Functions for evaluating and visualizing ecological assessment procedures
 for surface waters containing physical, chemical and biological assessments
 in the form of value functions.

Package: r-cran-ecovirtual
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ecovirtual_1.1-1.ca2004.1_all.deb
Size: 174272
MD5sum: 5720c02808b84f4e3276d7d744c8488e
SHA1: 8ab1b516e08ca4a2af932e8502b97588784519d1
SHA256: 25adc753e4db1701093a8354f17e677e8481ae34385136ba0478dee8b790882b
SHA512: 0a6aebd7ccc814d254688993c94e8b57198eb760521d7b49a2adad98807a7ece3745692053037c5dd65f0d28f04948d4a78f3b58a3fffc3948875ca782492507
Homepage: https://cran.r-project.org/package=EcoVirtual
Description: CRAN Package 'EcoVirtual' (Simulation of Ecological Models)
 Computer simulations of classical ecological models as a learning resource.

Package: r-cran-ecpc
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-gglasso, r-cran-mvtnorm, r-cran-cvxr, r-cran-multiridge, r-cran-survival, r-cran-proc, r-cran-mgcv, r-cran-pracma, r-cran-jops, r-cran-quadprog, r-cran-checkmate
Suggests: r-cran-rsolnp, r-cran-expm, r-cran-foreach, r-cran-doparallel, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-ggpubr, r-cran-scales, r-cran-dplyr, r-cran-magrittr, r-cran-nnls
Filename: pool/dists/focal/main/r-cran-ecpc_3.1.1-1.ca2004.1_all.deb
Size: 260716
MD5sum: 25b2770982413ae902b63fc21902667a
SHA1: b3ef6bcbc927b97040dcb19a258fda71bbdd57f3
SHA256: 89b838d7132dffc3b93245029384da1651864f9680f2444bd90319e251dc5ca0
SHA512: 4aba9cb9de8ba67b16df9daf4511a5939f25c638280f5981d5c5e05270a51a92b779486d09e839a5ebd54ba8c1ee5a06a8524260d7d61b41c95ace57bac8c25c
Homepage: https://cran.r-project.org/package=ecpc
Description: CRAN Package 'ecpc' (Flexible Co-Data Learning for High-Dimensional Prediction)
 Fit linear, logistic and Cox survival regression models penalised with
 adaptive multi-group ridge penalties.  The multi-group penalties correspond
 to groups of covariates defined by (multiple) co-data sources.  Group
 hyperparameters are estimated with an empirical Bayes method of moments,
 penalised with an extra level of hyper shrinkage.  Various types of hyper
 shrinkage may be used for various co-data.  Co-data may be continuous or
 categorical.  The method accommodates inclusion of unpenalised covariates,
 posterior selection of covariates and multiple data types.  The model fit is
 used to predict for new samples.  The name 'ecpc' stands for Empirical
 Bayes, Co-data learnt, Prediction and Covariate selection.  See Van Nee et
 al. (2020) <arXiv:2005.04010>.

Package: r-cran-ecpdist
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecpdist_0.2.1-1.ca2004.1_all.deb
Size: 46828
MD5sum: 911226f55fe2e94f4ed47d2b3de01411
SHA1: 0f077486ca4fc20e12490ad54fc2ef4f72663ef9
SHA256: 098f5c414d177710f0f69a662db7a1a9201e2f9ba37662cddd0d878587139cbf
SHA512: 21fca5d0a877c9063131da8fa06105d01d5962bd61de34540e502fd0f12b321d828d799807cd8c3adfeb76bb3868c82e21b7700be3ae8473097ed27161085711
Homepage: https://cran.r-project.org/package=ecpdist
Description: CRAN Package 'ecpdist' (Extended Chen-Poisson Lifetime Distribution)
 Computes the Extended Chen-Poisson (ecp) distribution, survival, density,
 hazard, cumulative hazard and quantile functions. It also allows to generate
 a pseudo-random sample from this distribution. The corresponding graphics
 are available. Functions to obtain measures of skewness and kurtosis, k-th
 raw moments, conditional k-th moments and mean residual life function were
 added. For details about ecp distribution, see Sousa-Ferreira, I., Abreu,
 A.M. & Rocha, C. (2023).  <doi:10.57805/revstat.v21i2.405>.

Package: r-cran-ectotemp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-psych
Filename: pool/dists/focal/main/r-cran-ectotemp_0.2.0-1.ca2004.1_all.deb
Size: 44128
MD5sum: b2df22fe9f52d16185e6e39c4761759f
SHA1: 9da14ea904748f8c963dab2ca7c8f349326cce7e
SHA256: 9dabcd76ade50ecbd238538ad5b6c3c2fbe440526cab7875983bdb17c7f8b373
SHA512: 27fac3864034831e5b7d29e892e6a4b7aa243d229b54cbddf53d0b455f88c27ef4606fe99e9fec1fae7f345fd9bf9ff72dea6b5b1c0176cfbbc122dcaaceebc8
Homepage: https://cran.r-project.org/package=ectotemp
Description: CRAN Package 'ectotemp' (Quantitative Estimates of Small Ectotherm Temperature RegulationEffectiveness)
 Easy and rapid quantitative estimation of small terrestrial ectotherm
 temperature regulation effectiveness in R. ectotemp is built on classical
 formulas that evaluate temperature regulation by means of various indices,
 inaugurated by Hertz et al. (1993) <doi: 10.1086/285573>. Options for
 bootstrapping and permutation testing are included to test hypotheses about
 divergence between organisms, species or populations.

Package: r-cran-ectsvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-urca, r-cran-vars, r-cran-weightsvm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ectsvr_0.1.0-1.ca2004.1_all.deb
Size: 21852
MD5sum: 701140e965c22cb604f0e381184aaa5d
SHA1: fd02cca928ffde44cbc62c9f52e5c2d9965bdc17
SHA256: c94acefc4f737f9c12baef42474db3a349ea0eb1db40e73f914f0e69a5181ad1
SHA512: ec6978aa4d70ec17d951f1724f27602f41a813826b5a7f0c7439c7c758b91431e4a8f8b343bbfdb47ba006612e0edf4a8da3e476af2f9a5819d4fa8135fc5c22
Homepage: https://cran.r-project.org/package=ECTSVR
Description: CRAN Package 'ECTSVR' (Cointegration Based Support Vector Regression Model)
 The cointegration based support vector regression model enables researchers
 to use data obtained from the cointegrating vector as input in the support
 vector regression model.

Package: r-cran-ecttdnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-urca, r-cran-forecast, r-cran-vars
Filename: pool/dists/focal/main/r-cran-ecttdnn_0.1.0-1.ca2004.1_all.deb
Size: 14656
MD5sum: b3321ded43c5d1db05eaedc61436c5f4
SHA1: b43121c17c7befaa5e79c08c20bfca64e1e42a3b
SHA256: 2abbe37539518ff199d611fa804c8fff01284e1dbf1cac72402159426e1871d6
SHA512: e1fa9e1b795e7e82c4721a4aa2602e48bea2d8ee69d903293b1b2355320262f2d65cd0609fb1a273430a671b131a131ba38a1bcfaeb6993c93f6b5e10e9de7e5
Homepage: https://cran.r-project.org/package=ECTTDNN
Description: CRAN Package 'ECTTDNN' (Cointegration Based Timedelay Neural Network Model)
 This cointegration based Time Delay Neural Network Model hybrid model allows
 the researcher to make use of the information extracted by the cointegrating
 vector as an input in the neural network model.

Package: r-cran-ecume
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 711
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-e1071, r-cran-kernlab, r-cran-magrittr, r-cran-pbapply, r-cran-spatstat.univar, r-cran-transport
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ecume_0.9.2-1.ca2004.1_all.deb
Size: 238076
MD5sum: 7cd2837fd6c28757ca5ae149657adee2
SHA1: 25cba509235029484695d7dab12df457246bdb50
SHA256: 026f2c485639e063949057c7343be4a7b930f95b312e47a099339761bcb31c5a
SHA512: 058899c6ef88682956c2f309a406d97cdb294557cc6bd0ab8d327b9051d206e1cc5eaa79984a50d492cd3db5b829be2b7db230b99c5b41b7272d58d27d3ff9fd
Homepage: https://cran.r-project.org/package=Ecume
Description: CRAN Package 'Ecume' (Equality of 2 (or k) Continuous Univariate and MultivariateDistributions)
 We implement (or re-implements in R) a variety of statistical tools. They
 are focused on non-parametric two-sample (or k-sample) distribution
 comparisons in the univariate or multivariate case. See the vignette for
 more info.

Package: r-cran-ecv
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2738
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-idr, r-cran-mvtnorm, r-cran-future, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-ecv_0.0.2-1.ca2004.1_all.deb
Size: 1916672
MD5sum: e1eae93e727595eeb0aa2b9a62ccf756
SHA1: 941b10c5ebea14c1634a8c815e233cd1933747ef
SHA256: 304558ceea1c4094b3728b5a3eb4ffbf2cc5509dc2983a8a7340b5b3e5f28fe7
SHA512: a5594c35be2a9d2c6b8dd2140fef3d664063c2a8bee99f4e537b8d3f0cdffa1fab41af4feb17480dfa5cf349d3e866aea0e6683b8d7adcd2d2bb9c60a9b6592d
Homepage: https://cran.r-project.org/package=eCV
Description: CRAN Package 'eCV' (Enhanced Coefficient of Variation and IDR Extensions forReproducibility Assessment)
 Reproducibility assessment is essential in extracting reliable scientific
 insights from high-throughput experiments.  While the Irreproducibility
 Discovery Rate (IDR) method has been instrumental in assessing
 reproducibility, its standard implementation is constrained to handling only
 two replicates. Package 'eCV' introduces an enhanced Coefficient of
 Variation (eCV) metric to assess the likelihood of omic features being
 reproducible. Additionally, it offers alternatives to the Irreproducible
 Discovery Rate (IDR) calculations for multi-replicate experiments.  These
 tools are valuable for analyzing high-throughput data in genomics and other
 omics fields. The methods implemented in 'eCV' are described in
 Gonzalez-Reymundez et al., (2023) <doi:10.1101/2023.12.18.572208>.

Package: r-cran-ed50
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-ed50_0.1.1-1.ca2004.1_all.deb
Size: 63692
MD5sum: 9a19ab2a0aec5f9381d02448da053ddb
SHA1: 3da03a8404b849fa60e6ad7a2e3d5cdb97481dac
SHA256: 99291d915969ea5818e8f214c334663ead9631ae1a4d2cc4ee9b37617e112ae3
SHA512: bc106511ef500445dcf028b30335f01177c3ebdef8ecb4a07a5be957d65f76d12f85e235321a6131c22bd60703651c5b3bdcb76d688d65db9e22bb91c8b1eddc
Homepage: https://cran.r-project.org/package=ed50
Description: CRAN Package 'ed50' (Estimate ED50 and Its Confidence Interval)
 Functions of five estimation method for ED50 (50 percent effective dose) are
 provided, and they are respectively Dixon-Mood method (1948)
 <doi:10.2307/2280071>, Choi's original turning point method (1990)
 <doi:10.2307/2531453> and it's modified version given by us, as well as
 logistic regression and isotonic regression. Besides, the package also
 supports comparison between two estimation results.

Package: r-cran-ed50simulation
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-ed50simulation_0.1.1-1.ca2004.1_all.deb
Size: 65544
MD5sum: 8ae875d2f1e61c623430fe514c764a7b
SHA1: 59fb1f8c7610b13948f41e900ea652a9162b06ad
SHA256: 681020608e4aabb60988d4d59a4892e95b530c2a6b7f5a9e7d3e81b95103ba26
SHA512: c0cb158edab2cc053c9184e6de7e51d30744c1562220af11912300a7b5a2547b48b06df1116944aeb3ac10ae436d2186bae9b5af57fb4ab067c23e1d103a8ac4
Homepage: https://cran.r-project.org/package=ed50simulation
Description: CRAN Package 'ed50simulation' (Estimate ED50 and Its Confidence Interval)
 Functions of five estimation method for ED50 (50 percent effective dose) are
 provided, and they are respectively Dixon-Mood method (1948)
 <doi:10.2307/2280071>, Choi's original turning point method (1990)
 <doi:10.2307/2531453> and it's modified version given by us, as well as
 logistic regression and isotonic regression. Besides, the package also
 supports comparison between two estimation results.

Package: r-cran-eda4treer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-dae, r-cran-dplyr, r-cran-emmeans, r-cran-ggplot2, r-cran-lmertest, r-cran-magrittr, r-cran-predictmeans, r-cran-supernova
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eda4treer_1.1.0-1.ca2004.1_all.deb
Size: 323544
MD5sum: 89401a0d3e773e67e753ab440f1af757
SHA1: 2343103e34a5a161e7dbb18d7abc764d56acbddb
SHA256: fd6b6563e3bff18efde771004280ec8af2df4d77c1c6d853d7a589ba8cfeab99
SHA512: de843fe093ecde7427378c6107c49105fa8bcc6f613b80f00ff38d89e158d603a1269dba4a2232ea25be2d31ee661e6c3a58e168845a005b0360193fb049394b
Homepage: https://cran.r-project.org/package=eda4treeR
Description: CRAN Package 'eda4treeR' (Experimental Design and Analysis for Tree Improvement)
 Provides data sets and R Codes for E.R. Williams, C.E. Harwood and A.C.
 Matheson (2023). Experimental Design and Analysis for Tree Improvement,
 CSIRO Publishing.

Package: r-cran-eda
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eda_1.3-1.ca2004.1_all.deb
Size: 70392
MD5sum: abdf5520382764fdbccb5a8c66d8f238
SHA1: b1bd0aa38ed65c8feb46bb2104312477c7fd6120
SHA256: e81718ad5c81a634686e2f59def8382c1c6d3e2003b286500028a37ab0c2b390
SHA512: 6f113ed07813795887417e20cb860b76e036c3fd0e535cb2246e52ab80621b7455bc413ae15342146377c4e76ab8929cbd76d3b7844b28e7f4417ac3dc4910e9
Homepage: https://cran.r-project.org/package=EDA
Description: CRAN Package 'EDA' (Energy Decomposition Analysis)
 Energy decomposition analysis for measuring contributions of components and
 factors on energy or carbon emission changes, as described in B.W. Ang
 (2005) <doi:10.1016/j.enpol.2003.10.010>. Includes Log Mean Devisia Index
 method and multi-year energy decomposition analysis using five methods.
 Please refer P. Wu (2019) <doi:10.1016/j.jclepro.2019.02.200> to use the
 package.

Package: r-cran-edbuildmapr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-spdep, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyselect, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-edbuildmapr_0.3.1-1.ca2004.1_all.deb
Size: 62520
MD5sum: 08246c170c0c9eb2dd176a54f27af448
SHA1: d2123cc1918ec064953d353b929cc06f3d400bb6
SHA256: 172531c14966929854ba35891f345e36460a7a679ad45f8ea49510a642b27f4e
SHA512: 01267ac77a00ca41159e72bbccaf1ca36bab45dd17110936914aab12817d85892524f70bc4553e608b9437ff69b28a3c4b1b3cbeccd716ed7d3930cbdf55533f
Homepage: https://cran.r-project.org/package=edbuildmapr
Description: CRAN Package 'edbuildmapr' (Download School District Geospatial Data, Perform SpatialAnalysis, and Create Formatted Exportable Maps)
 Import US Census Bureau, Education Demographic and Geographic Estimates
 Program, Composite School District Boundaries Files for 2013-2019 with the
 option to attach the 'EdBuild' master dataset of school district finance,
 student demographics, and community economic indicators for every school
 district in the United States. The master dataset is built from the US
 Census, Annual Survey of School System Finances (F33) and joins data from
 the National Center for Education Statistics, Common Core of Data; the US
 Census, Small Area Income and Poverty Estimates; and the US Census,
 Education Demographic and Geographic Estimates. Additional functions in the
 package create a dataset of all pairs of school district neighbors as either
 a dataframe or a shapefile and create formatted maps of selected districts
 at the state or neighbor level, symbolized by a selected variable in the
 'EdBuild' master dataset. For full details about 'EdBuild' data processing
 please see 'EdBuild' (2020) <http://data.edbuild.org/>.

Package: r-cran-edcc
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spc
Filename: pool/dists/focal/main/r-cran-edcc_1.0-0-1.ca2004.1_all.deb
Size: 95204
MD5sum: 73361570cb2f883f4300a1c1757b30a3
SHA1: fccdde0f2695e6ae07f792de8a128dc611051464
SHA256: a5eb6bb1c65038344315118b11b6e1d549b05f86de23b266573c01574081691f
SHA512: 69a150d7e53d1dc22c4e28b004e95a44584e766cead92396d79e774b890dc603d05ef0c0e3e9ddb3814c64c5218e87c2a4a584ca9fc0c7d3463bcc72c85de105
Homepage: https://cran.r-project.org/package=edcc
Description: CRAN Package 'edcc' (Economic Design of Control Charts)
 This package provides a unified approach for Economic Design of Control
 Charts. The main purpose of this package is to find out the optimal
 parameters to minimize the ECH (Expected Cost per Hour) of the process.

Package: r-cran-edcimport
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4294
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-fs, r-cran-glue, r-cran-ggplot2, r-cran-haven, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-lifecycle
Suggests: r-cran-bslib, r-cran-callr, r-cran-crosstable, r-cran-dt, r-cran-gtools, r-cran-htmlwidgets, r-cran-janitor, r-cran-knitr, r-cran-openxlsx, r-cran-patchwork, r-cran-plotly, r-cran-quarto, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-shiny, r-cran-usethis, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-edcimport_0.6.0-1.ca2004.1_all.deb
Size: 3285656
MD5sum: ad8d771d39d67a424ac8bf2768e0d5d9
SHA1: e41fe37fa0b0a6090cd5430bcc9ca9343afc3aad
SHA256: cbd49e8efdd6cd1c692e6ce1f5fa34361b5531e6ac9cbeec7fe4e60af72f8936
SHA512: 44f7f28871a9ac7602bd4ad3be9f05b3d8f31c37658f7f70f38e18d98589652f836e3f4e0e410960c457397c2eed6a76a26ec4fc9d6c2fab8a774d29ca801143
Homepage: https://cran.r-project.org/package=EDCimport
Description: CRAN Package 'EDCimport' (Import Data from EDC Software)
 A convenient toolbox to import data exported from Electronic Data Capture
 (EDC) software 'TrialMaster'.

Package: r-cran-edcpr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-edcpr_1.0.1-1.ca2004.1_all.deb
Size: 23044
MD5sum: 3c9aebc1f30307ff6b7ea8d036ec0d00
SHA1: bd19d749252431bde5fc168757811b2cdd37b443
SHA256: e858ed65575e0957be5b6ab363b180537747a3bc21be61923f7f925b4455758d
SHA512: 18376b3dcb0da157c0acd4896d7887fed000d79b7786ffe591bc317e399b0dc193a4698388126b99836349e1e0bac3bb1efa0c078f11f8f49bb6830604d4f868
Homepage: https://cran.r-project.org/package=edcpR
Description: CRAN Package 'edcpR' (Ecological Data Collection and Processing Package)
 This is the course package for the exercise portion of the "Ecological Data
 Collection and Processing" course.

Package: r-cran-edear
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1080
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bupar, r-cran-dplyr, r-cran-data.table, r-cran-ggplot2, r-cran-ggthemes, r-cran-glue, r-cran-tibble, r-cran-shiny, r-cran-miniui, r-cran-tidyr, r-cran-shinytime, r-cran-lubridate, r-cran-purrr, r-cran-stringr, r-cran-rlang, r-cran-cli, r-cran-zoo, r-cran-hms, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-eventdatar, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-edear_0.9.4-1.ca2004.1_all.deb
Size: 838236
MD5sum: 9d35117ce3c4e016a61f89f6df084593
SHA1: 22f0ae0ee7ca86ca2364d1c5fbbb21a0236f0c80
SHA256: 4a2ab7a151f82d1198221f762d5071dcd8d88948d2413e4282de9d40f32d072c
SHA512: 7071a9622786c883c6ada0965dda5fcbb74c37a3cf00f5f28ecb95f96632cd340004f5dca4f9306c9491df308f2ee14e006ffa36e780454fdd0908c5eb9d88d3
Homepage: https://cran.r-project.org/package=edeaR
Description: CRAN Package 'edeaR' (Exploratory and Descriptive Event-Based Data Analysis)
 Exploratory and descriptive analysis of event based data. Provides methods
 for describing and selecting process data, and for preparing event log data
 for process mining. Builds on the S3-class for event logs implemented in the
 package 'bupaR'.

Package: r-cran-edecob
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-edecob_1.2.2-1.ca2004.1_all.deb
Size: 95824
MD5sum: 1cd64f318ce3016f505f0f097848bd58
SHA1: b449ab36e316c40271823eaaefd7dd83b770ef2f
SHA256: f567a9679f7409b01132f5e7abcf2d23109d8620c7ff48dd33153b11684d509d
SHA512: c1136e0ebfbe67a2f3cd736230de9800b14c82726d6e9211bbc417acb860bc1b87233508814e4c6b951384487511a93180b41eab7cb7b1b8b4a515ed44df8421
Homepage: https://cran.r-project.org/package=edecob
Description: CRAN Package 'edecob' (Event Detection Using Confidence Bounds)
 Detects sustained change in digital bio-marker data using simultaneous
 confidence bands. Accounts for noise using an auto-regressive model. Based
 on Buehlmann (1998) "Sieve bootstrap for smoothing in nonstationary time
 series" <doi:10.1214/aos/1030563978>.

Package: r-cran-edf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-edf_1.0.0-1.ca2004.1_all.deb
Size: 33012
MD5sum: b321c724cbdc1d443435cf7ff6ca0304
SHA1: 611a2fe3f295ed5038bea453942f39ad0c195bfd
SHA256: 7df0ffb2a12c93b70c3561fdd9ff43dc4e8270a3ac6a49a04cd9e872f203a120
SHA512: 0458601b24b8a1f4160e797818c5e845c4a1f19551f02d9fc4b413689cf88170a02ad33a63c3f0de72fe0e0394f3afb2300a127d03658e8a6640111f865e5a18
Homepage: https://cran.r-project.org/package=edf
Description: CRAN Package 'edf' (Read Data from European Data Format (EDF and EDF+) Files)
 Import physiologic data stored in the European Data Format (EDF and EDF+)
 into R.  Both EDF and EDF+ files are supported. Discontinuous EDF+ files are
 not yet supported.

Package: r-cran-edfir
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-geometry, r-cran-vertexenum, r-cran-mass
Filename: pool/dists/focal/main/r-cran-edfir_1.0-1.ca2004.1_all.deb
Size: 37096
MD5sum: 44113f6aeea73f536e3ee3ea063ff741
SHA1: ebf50197265097527ba751024a3fb49ebce8c549
SHA256: 2a9b89860acb4ffcfe9e1fc77b7278f5cb7bc5dfc903130565e858cdf21a6a9e
SHA512: 438ec3f0d190d6a23e9e815116eb81f4f472dcc57b6bde70413a48962cbaf7c1b4baf25d82db75dbad8ce758544a573e5ffdf30714c57e00c468ea6bd380c727
Homepage: https://cran.r-project.org/package=EDFIR
Description: CRAN Package 'EDFIR' (Estimating Discrimination Factors)
 Functions for reading in data sets of prey and predator isotopic
 measurements and producing estimates for discrimination factors.

Package: r-cran-edfreader
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1713
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-edfreader_1.2.1-1.ca2004.1_all.deb
Size: 337852
MD5sum: 17b113241f11828ef0b33ba92c66d975
SHA1: f007b9c7cb39a91af59744c6ac021d9880e40347
SHA256: bdfba4b363c7e8260ace970cf3c5b613458fd1127cfd167e94babdb25cb3e7df
SHA512: 974def139eef329575636674e3fa7c0362e1e5f911cbf71a54c1099ec6ef2a1884874adae5165dcb05bef5d7cca900ae294f40b0312f0883688eac2878877b45
Homepage: https://cran.r-project.org/package=edfReader
Description: CRAN Package 'edfReader' (Reading EDF(+) and BDF(+) Files)
 Reads European Data Format files EDF and EDF+, see
 <http://www.edfplus.info>, BioSemi Data Format files BDF, see
 <http://www.biosemi.com/faq/file_format.htm>, and BDF+ files, see
 <http://www.teuniz.net/edfbrowser/bdfplus%20format%20description.html>.  The
 files are read in two steps: first the header is read and then the signals
 (using the header object as a parameter).

Package: r-cran-edftest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-rmutil
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-edftest_0.1.0-1.ca2004.1_all.deb
Size: 171100
MD5sum: d8cec4ba1a5935e4929140fdcc515a5b
SHA1: 1a3ac61f3afb93f635b001436667f8a39a9e5d12
SHA256: 6780eae4136cf70b328e85967788607f69598771b6e4c850b62219630913346c
SHA512: a27e620e3b1584ce8c103c61f7182b1b26aa432876f67d51e6d8d337a95b9b31316ab79b8bd4235fa040b78ac33f5c643fe7930b5ae66eaf61b0c588ffc59cce
Homepage: https://cran.r-project.org/package=EDFtest
Description: CRAN Package 'EDFtest' (Goodness of Fit Based on Empirical Distribution Function)
 This repository contains software for the calculation of goodness-of-fit
 test statistics and their P-values. The three statistics computed are the
 Empirical Distribution function statistics called Cramer-von Mises,
 Anderson-Darling, and Watson statistics. The statistics and their P-values
 can be used to assess an assumed distribution.The following distributions
 are available: Uniform, Normal, Gamma, Logistic, Laplace, Weibull, Extreme
 Value, and Exponential.

Package: r-cran-edfun
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 881
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-edfun_0.2.0-1.ca2004.1_all.deb
Size: 287764
MD5sum: 00c2eaea9f29b4d39da0b688e508ef02
SHA1: 7dae5534b48d2b0c642d2bd7a160e3a75b59ce61
SHA256: e5d32e59fe95a5eb269f4531fd165c706ea92a6ae25dcab1a64f99279f0961fc
SHA512: 64bff76e8d521f18231e3d73ee7d2b18d84d0a7b40dad73e8f624e2689f1c9a2c1142c7379bb44a8ba7a591b66d342f82df150e01757006e68bf5d73e45bf5a5
Homepage: https://cran.r-project.org/package=edfun
Description: CRAN Package 'edfun' (Creating Empirical Distribution Functions)
 Easily creating empirical distribution functions from data: 'dfun', 'pfun',
 'qfun' and 'rfun'.

Package: r-cran-edgar
Architecture: all
Version: 2.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-tm, r-cran-xml, r-cran-stringr, r-cran-stringi, r-cran-qdapregex, r-cran-httr
Filename: pool/dists/focal/main/r-cran-edgar_2.0.8-1.ca2004.1_all.deb
Size: 473508
MD5sum: 0b52b032c9ff0ebac78ebc1a6fbefd28
SHA1: 02384219d126d2119b12216375e5c2400d8b51f3
SHA256: c58f53863ec827a5e9f45331d79047e778fe2fe4c2b84e41e867398703be88c8
SHA512: 29b95a6d33592b8be4facb9fcbc91ce63a97069aebb9e828f83854c7bd9c2abd7572df4a7cd8074a7f71c212e8ab622b998cdf8c30efa7acc72f5bca59339980
Homepage: https://cran.r-project.org/package=edgar
Description: CRAN Package 'edgar' (Tool for the U.S. SEC EDGAR Retrieval and Parsing of CorporateFilings)
 In the USA, companies file different forms with the U.S.  Securities and
 Exchange Commission (SEC) through EDGAR (Electronic Data Gathering,
 Analysis, and Retrieval system). The EDGAR database automated system
 collects all the different necessary filings and makes it publicly
 available. This package facilitates retrieving, storing, searching, and
 parsing of all the available filings on the EDGAR server. It downloads
 filings from SEC server in bulk with a single query. Additionally, it
 provides various useful functions: extracts 8-K triggering events, extract
 "Business (Item 1)" and "Management's Discussion and Analysis(Item 7)"
 sections of annual statements, searches filings for desired keywords,
 provides sentiment measures, parses filing header information, and provides
 HTML view of SEC filings.

Package: r-cran-edgarwebr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-lintr, r-cran-purrr, r-cran-rmarkdown, r-cran-httptest, r-cran-tokenizers, r-cran-devtools, r-cran-dplyr, r-cran-tidyr, r-cran-roxygen2, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-edgarwebr_1.1.0-1.ca2004.1_all.deb
Size: 243368
MD5sum: eb0e6961f74430141fb33b440f4c32ea
SHA1: 31c0eb07e5eaeac7dd09ffc583f2f3c9d38eba7e
SHA256: c9229ee41b467501d27853ea94ef7723e70c56997cea8c2942842aecac68a05c
SHA512: 506e6291a643674976be2dca73d3546c27c26d3c75e54f397900d88f37525b8bd73d5e15d79d2d22ac2b0e040a7242bb05d3a0f6f533bd1727f9fdc92e711714
Homepage: https://cran.r-project.org/package=edgarWebR
Description: CRAN Package 'edgarWebR' (SEC Filings Access)
 A set of methods to access and parse live filing information from the U.S.
 Securities and Exchange Commission (SEC - <https://www.sec.gov/>) including
 company and fund filings along with all associated metadata.

Package: r-cran-edgebundler
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-rjson, r-cran-igraph, r-cran-shiny
Suggests: r-cran-knitr, r-cran-huge
Filename: pool/dists/focal/main/r-cran-edgebundler_0.1.4-1.ca2004.1_all.deb
Size: 93028
MD5sum: af54bd91fc9859938bcabffe081b57dc
SHA1: 848f6f529f170c1323806d1c7ff08c5b302faa6c
SHA256: 152b50e924dc1fe002f138ec1c456241267a9a0d20a99e4dbae6dce59749be34
SHA512: e93c8b84cd9d2cc379204aef564358dcb9b561935061c62b1639720b68a767460d79a58292aa05fa18306df7fd87aa6ac278234aca55716e5587d316267c2dcf
Homepage: https://cran.r-project.org/package=edgebundleR
Description: CRAN Package 'edgebundleR' (Circle Plot with Bundled Edges)
 Generates interactive circle plots with the nodes around the circumference
 and linkages between the connected nodes using hierarchical edge bundling
 via the D3 JavaScript library. See <http://d3js.org/> for more information
 on D3.

Package: r-cran-edgecorr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-edgecorr_1.0-1.ca2004.1_all.deb
Size: 27160
MD5sum: 9760d912b54861aab32986d9be58a967
SHA1: 049e647579e229c2afecd9d355235a077857ed33
SHA256: 651e0c6a1e630577e5157f0fa2c8e87fc2f2d8032d5aa506b7ab9228022d53af
SHA512: ff7f31a9e8705cfcd0bc713d4fb530f427f71ec94f7ab7a415179e808251aa24d1140b76efd61338bd7098722462da2467ee6ec14e2e21c510e66c159dc26202
Homepage: https://cran.r-project.org/package=edgeCorr
Description: CRAN Package 'edgeCorr' (Spatial Edge Correction)
 Facilitates basic spatial edge correction to point pattern data.

Package: r-cran-edgedata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-edgedata_0.2.0-1.ca2004.1_all.deb
Size: 196928
MD5sum: cc076ccf1dd0cf26f60a27c6f336b368
SHA1: 973e2f1f2b89a207d43163added38f5ab1c01bc6
SHA256: 1481e25e9d45f2e515435262e71055591bc8af047811f7e3e00cbc9b18c4273e
SHA512: 2a9318c5fb0c7fc8c77899e71116cfae51d35ff424deeda8e71f14e3517cbac3a609c0b58866435a93d4a9cd8cb21fd68453a58778f4a359b199eb4a47bd32dc
Homepage: https://cran.r-project.org/package=edgedata
Description: CRAN Package 'edgedata' (Datasets that Support the EDGE Server DIY Logic)
 Datasets from most recent CCIIO DIY entry in a tidy format. These support
 the Centers for Medicare and Medicaid Services' (CMS) risk adjustment
 Do-It-Yourself (DIY) process, which allows health insurance issuers to
 calculate member risk profiles under the Health and Human
 Services-Hierarchical Condition Categories (HHS-HCC) regression model. This
 regression model is used to calculate risk adjustment transfers.  Risk
 adjustment is a selection mitigation program implemented under the Patient
 Protection and Affordable Care Act (ACA or Obamacare) in the USA.  Under the
 ACA, health insurance issuers submit claims data to CMS in order for CMS to
 calculate a risk score under the HHS-HCC regression model.  However, CMS
 does not inform issuers of their average risk score until after the data
 submission deadline. These data sets can be used by issuers to calculate
 their average risk score mid-year. More information about risk adjustment
 and the HHS-HCC model can be found here:
 <https://www.cms.gov/mmrr/Articles/A2014/MMRR2014_004_03_a03.html>.

Package: r-cran-edgerun
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-edger, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-edgerun_1.0.9-1.ca2004.1_all.deb
Size: 99020
MD5sum: 68ed2f198eaf376fa172d0daf108892a
SHA1: cc0f13c43b6782ae18a45f3111937a50a7a416c1
SHA256: d9c39c1d13a1fc8b1d61f2b2459a850f5a274013256259fb8a666205eaeadb5d
SHA512: 7fd54f8e86ab5c3db266a26b47b065c6a6912148fcedb6ae30a108ea83733e269c62535536c048fa75129fa9135f26b00e863d94fd0b38d4242d40a4e3f6c50b
Homepage: https://cran.r-project.org/package=edgeRun
Description: CRAN Package 'edgeRun' (More Powerful Unconditional Testing of Negative Binomial Meansfor Digital Gene Expression Data)
 Extends edgeR functionality by improving on exactTest using an unconditional
 exact test of negative binomial means.

Package: r-cran-edibble
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3736
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-vctrs, r-cran-tibble, r-cran-cli, r-cran-pillar, r-cran-tidyselect, r-cran-nestr, r-cran-algdesign, r-cran-dae, r-cran-r6, r-cran-lifecycle, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-openxlsx2, r-cran-visnetwork, r-cran-blocksdesign, r-cran-knitr, r-cran-scales, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-edibble_1.1.1-1.ca2004.1_all.deb
Size: 3089312
MD5sum: 56557ce710ef5fa9474eae33a0bb3bb7
SHA1: 0bd566d35732713ade3b7471dac53e8e996f0c75
SHA256: 9cdb0f1a13b10d6318eff5eb39599edf231ecd4907bc3e962335ab254782d37f
SHA512: 24fc6a8c3ddd6706ed81f4fa451b31593dc1e8c67e50da5e98a75bb464d4a20a9caa4f7f7d789782a7c68563a4c14cfb9ef0d36fddae0e9245445bd286b72368
Homepage: https://cran.r-project.org/package=edibble
Description: CRAN Package 'edibble' (Encapsulating Elements of Experimental Design)
 A system to facilitate designing comparative (and non-comparative)
 experiments using the grammar of experimental designs
 <https://emitanaka.org/edibble-book/>.  An experimental design is treated as
 an intermediate, mutable object that is built progressively by fundamental
 experimental components like units, treatments, and their relation.  The
 system aids in experimental planning, management and workflow.

Package: r-cran-ediblecity
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2399
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-magrittr, r-cran-stars, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ediblecity_0.2.1-1.ca2004.1_all.deb
Size: 2349704
MD5sum: 9d4ae33a38bc0738f7196c88d6e8a998
SHA1: 1fdda0ab136929ceadd9cccf6c2b4054fc807ffd
SHA256: 83e07567b805982603286db37b701101e7eaa7196c43edefb42eb293cdb377df
SHA512: 0d27e3a9a7d3f0e3fabee8363aa0c54d2e092d4f6b1ef4c7a7043dedd0081ab7d884e654bca107fe7c096efb0b8689752f43f69d42024128d849a275f5ccc153
Homepage: https://cran.r-project.org/package=ediblecity
Description: CRAN Package 'ediblecity' (Modeling Urban Agriculture at City Scale)
 The purpose of this package is to estimate the potential of urban
 agriculture to contribute to addressing several urban challenges at the
 city-scale. Within this aim, we selected 8 indicators directly related to
 one or several urban challenges. Also, a function is provided to compute new
 scenarios of urban agriculture. Methods are described by Pueyo-Ros, Comas &
 Corominas (2023) <doi:10.12688/openreseurope.16054.1>.

Package: r-cran-edison
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-edison_1.1.1-1.ca2004.1_all.deb
Size: 246436
MD5sum: 6c2712100ecf7d117f33c1856a072b6e
SHA1: fe02505e6fc19d5f8d9d3fbc88d00976f4fcbfd7
SHA256: 0b8ad6d675ba1aa3f2fb4fcc2ed047b0bdf768ba3208cfb9c4bb59e3abd6456d
SHA512: 13a2815a54abb0d7d38de68b34b9f52761f775bbcac4781cc6f885b46f6aa4f41bae6e426a9b75292293d5d9ea0d36ae8a9e566049cd50af704e1a2d92f61ba0
Homepage: https://cran.r-project.org/package=EDISON
Description: CRAN Package 'EDISON' (Network Reconstruction and Changepoint Detection)
 Package EDISON (Estimation of Directed Interactions from Sequences Of
 Non-homogeneous gene expression) runs an MCMC simulation to reconstruct
 networks from time series data, using a non-homogeneous, time-varying
 dynamic Bayesian network.  Networks segments and changepoints are inferred
 concurrently, and information sharing priors provide a reduction of the
 inference uncertainty.

Package: r-cran-editbl
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1522
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-dt, r-cran-tibble, r-cran-dplyr, r-cran-rlang, r-cran-uuid, r-cran-fontawesome
Suggests: r-cran-testthat, r-cran-dtplyr, r-cran-data.table, r-cran-vctrs, r-cran-rsqlite, r-cran-dbplyr, r-cran-glue, r-cran-dbi, r-cran-bit64, r-cran-knitr, r-cran-dm
Filename: pool/dists/focal/main/r-cran-editbl_1.3.0-1.ca2004.1_all.deb
Size: 551508
MD5sum: aa4f2c67b0bc5557994928b16ea19f09
SHA1: afae941822074ffef4e0a00b9f2e1fd24ea14494
SHA256: d56e5225ac126dab03faaf94543963f2de8d4c6e07ddf86e070d696fcb22f62c
SHA512: f4d3681a4b7871cc636ba3d9e13d1234d0c66e6d6f103c0a417d768bfa4ca94c99bc77ae63ae8fb7ace1e749ea14d8d052355f8344571d3eb376b1af69ecdef4
Homepage: https://cran.r-project.org/package=editbl
Description: CRAN Package 'editbl' ('DT' Extension for CRUD (Create, Read, Update, Delete)Applications in 'shiny')
 The core of this package is a function eDT() which enhances DT::datatable()
 such that it can be used to interactively modify data in 'shiny'. By the use
 of generic 'dplyr' methods it supports many types of data storage, with
 relational databases ('dbplyr') being the main use case.

Package: r-cran-editdata
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2891
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-tibble, r-cran-dplyr, r-cran-rio, r-cran-magrittr, r-cran-shinywidgets, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-editdata_0.1.8-1.ca2004.1_all.deb
Size: 2111480
MD5sum: 8e8e7f83e088257dfec8ba3d94fac346
SHA1: 016a05fa6e3d7eca02eba9bfb7c7d7443f2ea8e4
SHA256: f40589f91687cbdc19970c9191537d57054468eb6c7439c859b6a86c0f0c574c
SHA512: 592d36ec79aad4699fe0aaa737511536aa66d4515c56c390dc7b02617596080e144fcd7dc818bd6b95815d69c213759a4e91be9b72f8f6342395b9695e5a88ba
Homepage: https://cran.r-project.org/package=editData
Description: CRAN Package 'editData' ('RStudio' Addin for Editing a 'data.frame')
 An 'RStudio' addin for editing a 'data.frame' or a 'tibble'. You can delete,
 add or update a 'data.frame' without coding. You can get resultant data as a
 'data.frame'. In the package, modularized 'shiny' app codes are provided.
 These modules are intended for reuse across applications.

Package: r-cran-editrules
Architecture: all
Version: 2.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 638
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-lpsolveapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-editrules_2.9.5-1.ca2004.1_all.deb
Size: 517584
MD5sum: 90ed1b7e3a61ad8623f844c7619c4728
SHA1: b82973e9f23a8bccbe80469a742b726145f19858
SHA256: a893e8f3bfc9ee99abd21b3946d319bcea3488cdf0f4d5332c021b71523d55e4
SHA512: 9f54d995d998e85009f5d7f705c87ec70d7a7615c1c1dfc26d56955dd6865c6580c178a8663a74cd4f31724b3a48719cf2fa04c9349d256abdd51481e5a69ab3
Homepage: https://cran.r-project.org/package=editrules
Description: CRAN Package 'editrules' (Parsing, Applying, and Manipulating Data Cleaning Rules)
 Please note: active development has moved to packages 'validate' and
 'errorlocate'. Facilitates reading and manipulating (multivariate) data
 restrictions (edit rules) on numerical and categorical data. Rules can be
 defined with common R syntax and parsed to an internal (matrix-like format).
 Rules can be manipulated with variable elimination and value substitution
 methods, allowing for feasibility checks and more. Data can be tested
 against the rules and erroneous fields can be found based on Fellegi and
 Holt's generalized principle. Rules dependencies can be visualized with
 using the 'igraph' package.

Package: r-cran-ediutils
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-xml2
Suggests: r-cran-knitr, r-cran-readr, r-cran-vcr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ediutils_1.0.3-1.ca2004.1_all.deb
Size: 332516
MD5sum: 1d37af6dc5d23cc3945d190093c71d72
SHA1: 4debe4b327bb34614f2c24c9d94fd69b3d343605
SHA256: a3aed3f484adb36fe259034b31819604404fa7edee70f036febb341f61e687a1
SHA512: c72fb2f19f4f2268dcecc39dc8bd3ac137a10c5e736989397d4e71d4a71686100747c8b3de8a4dfbb0512b7dd96acb4269d5708c40e2e6bf3cc4b35324f4f47f
Homepage: https://cran.r-project.org/package=EDIutils
Description: CRAN Package 'EDIutils' (An API Client for the Environmental Data Initiative Repository)
 A client for the Environmental Data Initiative repository REST API. The
 'EDI' data repository <https://portal.edirepository.org/nis/home.jsp> is for
 publication and reuse of ecological data with emphasis on metadata accuracy
 and completeness. It is built upon the 'PASTA+' software stack
 <https://pastaplus-core.readthedocs.io/en/latest/index.html#> and was
 developed in collaboration with the US 'LTER' Network
 <https://lternet.edu/>. 'EDIutils' includes functions to search and access
 existing data, evaluate and upload new data, and assist other data
 management tasks common to repository users.

Package: r-cran-edl
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotfunctions, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-edl_1.1-1.ca2004.1_all.deb
Size: 391360
MD5sum: dcc027bdc9b68b18eaee5fecdb480092
SHA1: a8a7195c83aa38a8620dd0cb30f65807701d12ba
SHA256: c2a200483dfa79eac03f28313882f5822abbd08971198438f8328b90157cf7b7
SHA512: f8909e4c71bca3c314cd4b6e2a9f3ec6588ffdba52ae7e38d2e359a781460346ea003a0a995789da8bf538f08947e810d3b1d6450ed56465728f248a927f22a6
Homepage: https://cran.r-project.org/package=edl
Description: CRAN Package 'edl' (Toolbox for Error-Driven Learning Simulations with Two-LayerNetworks)
 Error-driven learning (based on the Widrow & Hoff
 (1960)<https://isl.stanford.edu/~widrow/papers/c1960adaptiveswitching.pdf>
 learning rule, and essentially the same as Rescorla-Wagner's learning
 equations (Rescorla & Wagner, 1972, ISBN: 0390718017), which are also at the
 core of Naive Discrimination Learning, (Baayen et al, 2011,
 <doi:10.1037/a0023851>) can be used to explain bottom-up human learning
 (Hoppe et al, <doi:10.31234/osf.io/py5kd>), but is also at the core of
 artificial neural networks applications in the form of the Delta rule. This
 package provides a set of functions for building small-scale simulations to
 investigate the dynamics of error-driven learning and it's interaction with
 the structure of the input. For modeling error-driven learning using the
 Rescorla-Wagner equations the package 'ndl' (Baayen et al, 2011,
 <doi:10.1037/a0023851>) is available on CRAN at
 <https://cran.r-project.org/package=ndl>. However, the package currently
 only allows tracing of a cue-outcome combination, rather than returning the
 learned networks. To fill this gap, we implemented a new package with a few
 functions that facilitate inspection of the networks for small error driven
 learning simulations. Note that our functions are not optimized for training
 large data sets (no parallel processing), as they are intended for small
 scale simulations and course examples. (Consider the python implementation
 'pyndl' <https://pyndl.readthedocs.io/en/latest/> for that purpose.)

Package: r-cran-edmdata
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 737
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-edmdata_1.3.0-1.ca2004.1_all.deb
Size: 646980
MD5sum: a68ed5dcacdc2402bd36c78cbcab6acd
SHA1: 2f842d0c8c6383225ae7ed1875200f322733cb17
SHA256: 4aee9a21f5ae66546463ac8fd6f2ec99e75e03a7a900c2c1e5a3727759558a18
SHA512: 2c8e3f78ef5647e5ee4d2e07cc9c230e2ceaa19e1fef0ccc1e6eec6d9d1674d14be78744f4cf39d8bdbc9c105b04bcad8d0653b10eee483f96a6227011ca3264
Homepage: https://cran.r-project.org/package=edmdata
Description: CRAN Package 'edmdata' (Data Sets for Psychometric Modeling)
 Collection of data sets from various assessments that can be used to
 evaluate psychometric models. These data sets have been analyzed in the
 following papers that introduced new methodology as part of the application
 section: Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023)
 <doi:10.1111/bmsp.12307>, Culpepper, S. A., & Balamuta, J. J. (2021)
 <doi:10.1080/00273171.2021.1985949>, Yinghan Chen et al. (2021)
 <doi:10.1007/s11336-021-09750-9>, Yinyin Chen et al. (2020)
 <doi:10.1007/s11336-019-09693-2>, Culpepper, S. A. (2019a)
 <doi:10.1007/s11336-019-09683-4>, Culpepper, S. A. (2019b)
 <doi:10.1007/s11336-018-9643-8>, Culpepper, S. A., & Chen, Y. (2019)
 <doi:10.3102/1076998618791306>, Culpepper, S. A., & Balamuta, J. J. (2017)
 <doi:10.1007/s11336-015-9484-7>, and Culpepper, S. A. (2015)
 <doi:10.3102/1076998615595403>.

Package: r-cran-edne.eq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-edne.eq_1.0-1.ca2004.1_all.deb
Size: 35812
MD5sum: 6de63324b6a1f3ab8129df95a46157f2
SHA1: 33629a4c3dcb20223f832a494dcac7d47873e453
SHA256: 4a62860fd627f57e95ef70838ebc2465caa0d638c276a8f22070680e0cc2f33a
SHA512: 2af41d8a478e7d8dfcee33d0b02721294db8bcd1faa42b1de9d31b85c59bbea2a84b86e5ca89fb8978dde142887ece904845c97f28ee1ffff1b5d8f591dadf23
Homepage: https://cran.r-project.org/package=EDNE.EQ
Description: CRAN Package 'EDNE.EQ' (Implements the EDNE-Test for Equivalence)
 Package implements the EDNE-test for equivalence according to Hoffelder et
 al. (2015) <DOI:10.1080/10543406.2014.920344>.  "EDNE" abbreviates
 "Euclidean Distance between the Non-standardized Expected values".  The
 EDNE-test for equivalence is a multivariate two-sample equivalence test.
 Distance measure of the test is the Euclidean distance.  The test is an
 asymptotically valid test for the family of distributions fulfilling the
 assumptions of the multivariate central limit theorem (see Hoffelder et
 al.,2015).  The function EDNE.EQ() implements the EDNE-test for equivalence
 according to Hoffelder et al. (2015).  The function
 EDNE.EQ.dissolution.profiles() implements a variant of the EDNE-test for
 equivalence analyses of dissolution profiles (see Suarez-Sharp et al.,2020
 <DOI:10.1208/s12248-020-00458-9>).  EDNE.EQ.dissolution.profiles() checks
 whether the quadratic mean of the differences of the expected values of both
 dissolution profile populations is statistically significantly smaller than
 10 [\% of label claim].  The current regulatory standard approach for
 equivalence analyses of dissolution profiles is the similarity factor f2.
 The statistical hypotheses underlying EDNE.EQ.dissolution.profiles()
 coincide with the hypotheses for f2 (see Hoffelder et al.,2015, Suarez-Sharp
 et al., 2020).

Package: r-cran-edoif
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-distr, r-cran-igraph, r-cran-ellipsis, r-cran-simpleboot, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-edoif_0.1.4-1.ca2004.1_all.deb
Size: 238060
MD5sum: d9e186151c7b8aba046d4fd60b69acaa
SHA1: b66a99a906dfa1219ad06122e04bb59342bd5213
SHA256: f8d3bbb59fb938e3b0563fc03bd9a2ab18f5d3bd8284a5288e71b0e06eeb0de3
SHA512: 41790b4fb9f926ef10f91c207158d367a6873e1a722fae0caea391960de3c83f2da8522caf1f866dda33dad52856273c77c1a1667af861553da139e05b94eb44
Homepage: https://cran.r-project.org/package=EDOIF
Description: CRAN Package 'EDOIF' (Empirical Distribution Ordering Inference Framework (EDOIF))
 A non-parametric framework based on estimation statistics principle. Its
 main purpose is to infer orders of empirical distributions from different
 categories based on a probability of finding a value in one distribution
 that is greater than an expectation of another distribution. Given a set of
 ordered-pair of real-category values the framework is capable of 1)
 inferring orders of domination of categories and representing orders in the
 form of a graph; 2) estimating magnitude of difference between a pair of
 categories in forms of mean-difference confidence intervals; and 3)
 visualizing domination orders and magnitudes of difference of categories.
 The publication of this package is at Chainarong Amornbunchornvej, Navaporn
 Surasvadi, Anon Plangprasopchok, and Suttipong Thajchayapong (2020)
 <doi:10.1016/j.heliyon.2020.e05435>.

Package: r-cran-edotrans
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abcanalysis, r-cran-opgmmassessment
Filename: pool/dists/focal/main/r-cran-edotrans_0.2.5-1.ca2004.1_all.deb
Size: 70888
MD5sum: a83d62002d11d0fdbc22724d2528bab7
SHA1: 6327418a014dcffa7aae2a0ddebed151c54e0aa4
SHA256: 162a09ab1333edec99c4a05dd917c3c021fe580ad8de96b910762f1bcbfe3f06
SHA512: fb42efcf8398dfcfe39f872465481e08b32dd81cdb173d29b2008db90f6abcd8993a387061c531c1a3f9ddcd0d9dc4dc26b7943a454984e25b9c06fa82194724
Homepage: https://cran.r-project.org/package=EDOtrans
Description: CRAN Package 'EDOtrans' (Euclidean Distance-Optimized Data Transformation)
 A data transformation method which takes into account the special property
 of scale non-invariance with a breakpoint at 1 of the Euclidean distance.

Package: r-cran-edstan
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstan, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-edstan_1.1.0-1.ca2004.1_all.deb
Size: 81700
MD5sum: e905235d5e86d0af8a7ee19af02141b1
SHA1: 91b74d4115314fc923d15b7b83940d2abe3950b6
SHA256: 7593dbccd03dba1f28e233d208ae13e4cb75afb75991776a232e665c822cc3d0
SHA512: 46cc67631bdb164ed5711b326a29b266105b2895bd90aa69e8b7e578b3a1883bd2b7cc0909698a06ba8cf96a066a8148acc4bda41ca3620bacce42bd082df6c9
Homepage: https://cran.r-project.org/package=edstan
Description: CRAN Package 'edstan' (Stan Models for Item Response Theory)
 Streamlines the fitting of common Bayesian item response models using Stan.

Package: r-cran-edsurvey
Architecture: all
Version: 4.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2943
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-lfactors, r-cran-dire, r-cran-data.table, r-cran-formula, r-cran-glm2, r-cran-haven, r-cran-laf, r-cran-lifecycle, r-cran-lme4, r-cran-mass, r-cran-matrix, r-cran-naepprimer, r-cran-quantreg, r-cran-readxl, r-cran-tibble, r-cran-wcorr, r-cran-naepirtparams, r-cran-wemix, r-cran-xtable, r-cran-xml2
Suggests: r-cran-knitr, r-cran-testthat, r-cran-withr, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-edsurvey_4.0.7-1.ca2004.1_all.deb
Size: 2385460
MD5sum: 9d194e892da061de1103584620264743
SHA1: ccee65d1eed5871a287884ee2788abcf73269730
SHA256: e0dd758184bec952e064ca287fb6da5ff4a87ecbf3f48d0972b06897d3cc133c
SHA512: 55cf5924490a09f9cc2a7cc50cc2c62f6cff7ad46eeeb14b279d2d99bf461ee1a8646ae95007cb914a129663e315aee44cc3bacf98f2e565420be5f430b888ef
Homepage: https://cran.r-project.org/package=EdSurvey
Description: CRAN Package 'EdSurvey' (Analysis of NCES Education Survey and Assessment Data)
 Read in and analyze functions for education survey and assessment data from
 the National Center for Education Statistics (NCES) <https://nces.ed.gov/>,
 including National Assessment of Educational Progress (NAEP) data
 <https://nces.ed.gov/nationsreportcard/> and data from the International
 Assessment Database: Organisation for Economic Co-operation and Development
 (OECD) <https://www.oecd.org/>, including Programme for International
 Student Assessment (PISA), Teaching and Learning International Survey
 (TALIS), Programme for the International Assessment of Adult Competencies
 (PIAAC), and International Association for the Evaluation of Educational
 Achievement (IEA) <https://www.iea.nl/>, including Trends in International
 Mathematics and Science Study (TIMSS), TIMSS Advanced, Progress in
 International Reading Literacy Study (PIRLS), International Civic and
 Citizenship Study (ICCS), International Computer and Information Literacy
 Study (ICILS), and Civic Education Study (CivEd).

Package: r-cran-educationdata
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-educationdata_0.1.3-1.ca2004.1_all.deb
Size: 64788
MD5sum: 303784acffeab51d20080676315aff23
SHA1: 92c754ae00a5e125b3496172ba21a2b0bbccee4d
SHA256: db86b82970c8516d8d491e86d3a6b0d8745d6b72dde51e54bd5d603bf95de534
SHA512: 8184bd2601affed5d0a71c26a0cdd6782c4caccbaeb578d80e406e4bfc3091efb736cff128d9313e363f4b1619fd426c0b08ba45f603c3e2597c47336a418edf
Homepage: https://cran.r-project.org/package=educationdata
Description: CRAN Package 'educationdata' (Retrieve Records from the Urban Institute's Education DataPortal API)
 Allows R users to retrieve and parse data from the Urban Institute's
 Education Data API <https://educationdata.urban.org/> into a 'data.frame'
 for analysis.

Package: r-cran-educationr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-educationr_0.1.0-1.ca2004.1_all.deb
Size: 224676
MD5sum: 47b755fcdbd5a20717cae166042af129
SHA1: d8671b3c07c18d0e80583fd959d193d4aadb4503
SHA256: 84a4e4d023b9ac9942986efb7b1c16a2d4da1ddbb2abd3f8457662a3d4d22330
SHA512: ede6277c486b0d6952bdc95c029b8028e464dc17583d9294e71027d365dd68e88928d67c28c4e07daf08ab76883f478ba52b3fbc5292dc3ff22d401865cf2cfe
Homepage: https://cran.r-project.org/package=educationR
Description: CRAN Package 'educationR' (A Comprehensive Collection of Educational Datasets)
 Provides a comprehensive collection of datasets related to education,
 covering topics such as student performance, learning methods, test scores,
 absenteeism, and other educational metrics. This package serves as a
 resource for educational researchers, data analysts, and statisticians to
 explore and analyze data in the field of education.

Package: r-cran-educineq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ineq, r-cran-flexsurv
Filename: pool/dists/focal/main/r-cran-educineq_0.1.0-1.ca2004.1_all.deb
Size: 429040
MD5sum: 95c3ed3678fc684d46c8138e140b9326
SHA1: 49918e40d1153384fad0ff2f5a2ac41a0d1edf7e
SHA256: ebc50ddb2c2564c02760238d84e9dbdf9b1ff9e4913589a25c910af41970aaae
SHA512: 005b9671089e260a467cebb4c6ee3040c9b7399ffa08f63f5cbfa8afc0684344259a902c783b1bbc3416d4404e471f20ce436ffc52a568daa08af03cb106a664
Homepage: https://cran.r-project.org/package=educineq
Description: CRAN Package 'educineq' (Compute and Decompose Inequality in Education)
 Easily compute education inequality measures and the distribution of
 educational attainments for any group of countries, using the data set
 developed in Jorda, V. and Alonso, JM. (2017)
 <DOI:10.1016/j.worlddev.2016.10.005>.  The package offers the possibility to
 compute not only the Gini index, but also generalized entropy measures for
 different values of the sensitivity parameter. In particular, the package
 includes functions to compute the mean log deviation, which is more
 sensitive to the bottom part of the distribution; the Theil’s entropy
 measure, equally sensitive to all parts of the distribution; and finally,
 the GE measure when the sensitivity parameter is set equal to 2, which gives
 more weight to differences in higher education. The decomposition of these
 measures in the components between-country and within-country inequality is
 also provided. Two graphical tools are also provided, to analyse the
 evolution of the distribution of educational attainments: The cumulative
 distribution function and the Lorenz curve.

Package: r-cran-edwards97
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-tibble, r-cran-broom, r-cran-cli, r-cran-withr, r-cran-glue
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-edwards97_0.1.1-1.ca2004.1_all.deb
Size: 375836
MD5sum: 79b1ab1d82859f2a3df2b6179f8700bc
SHA1: 79fa4ab50e1ae8d5e3e2c9ff920deb841eed1a0e
SHA256: 19052a58d385059000cd3ff3d6ff6a03cdf6cb2f95eb5bd2bf0b22445f4f4d78
SHA512: c1df95ff7f23c1c43da5c92f6af2b73c4e1c9edab7850adeef49a5d1af7fde90b907294b35b31cf2d1e4a0c660b8090358f47b30c80a6421b60fe3a74197d552
Homepage: https://cran.r-project.org/package=edwards97
Description: CRAN Package 'edwards97' (Langmuir Semi-Empirical Coagulation Model)
 Implements the Edwards (1997) <doi:10.1002/j.1551-8833.1997.tb08229.x>
 Langmuir-based semi-empirical coagulation model, which predicts the
 concentration of organic carbon remaining in water after treatment with an
 Al- or Fe-based coagulant. Data and methods are provided to optimise
 empirical coefficients.

Package: r-cran-eeaaq
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gstat, r-cran-httr, r-cran-leaflet, r-cran-lubridate, r-cran-raster, r-cran-readr, r-cran-sf, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-ggspatial, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rvest, r-cran-readxl, r-cran-digest, r-cran-gh, r-cran-base64enc, r-cran-stringr, r-cran-gifski, r-cran-htmlwidgets, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-eeaaq_1.0.1-1.ca2004.1_all.deb
Size: 179764
MD5sum: 58b18d9c0b4ce204cbe7e3bb0067fb14
SHA1: cad0708819c0a1867646193e1266e0b37f6bf8fe
SHA256: 446f43cb38d75319cd1431de54cfa3f71f6e4295d6521ef05de8aff5b8fb2d06
SHA512: bca08ab29f596170738a1a4ebfa5789fb80ec3dd2be669bba92c6c74936604c40cfc8298d55ff3eaf5f9633bb4ea5e3c1e9a004d0f0044e28979d739e4610a97
Homepage: https://cran.r-project.org/package=EEAaq
Description: CRAN Package 'EEAaq' (Handle Air Quality Data from the European Environment AgencyData Portal)
 This software downloads and manages air quality data from the European
 Environmental Agency (EEA) dataflow
 (<https://www.eea.europa.eu/data-and-maps/data/aqereporting-9>).  See the
 web page <https://eeadmz1-downloads-webapp.azurewebsites.net/> for details
 on the EEA's Air Quality Download Service.  The package allows dynamically
 mapping the stations, summarising and time aggregating the measurements and
 building spatial interpolation maps.  See the web page
 <https://www.eea.europa.eu/en> for further information on EEA activities and
 history.  Further details, as well as, an extended vignette of the main
 functions included in the package, are available at the GitHub web page
 dedicated to the project.

Package: r-cran-eechidna
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1582
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-shiny, r-cran-ggplot2, r-cran-ggthemes, r-cran-magrittr, r-cran-rgeos, r-cran-plotly, r-cran-sp, r-cran-tidyr, r-cran-purrr, r-cran-colourpicker, r-cran-rgdal, r-cran-stringi, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-maptools, r-cran-purrrlyr, r-cran-ggally, r-cran-corrplot, r-cran-broom, r-cran-scales, r-cran-readr, r-cran-gridextra, r-cran-tidyverse, r-cran-spelling, r-cran-ggmap
Filename: pool/dists/focal/main/r-cran-eechidna_1.4.1-1.ca2004.1_all.deb
Size: 1414036
MD5sum: 15ea2fd1f490aef8dc09f1fa76069d8c
SHA1: 8dc6a9507058f29dc6125e084ae4ffdd7219b3ee
SHA256: 8c90beff5fb6fa0810622bf83674ae2685ff2f18f4d3b8c24aab2c2d8145e555
SHA512: 045e91821497ad91202219df80d0508cc94e3fd904eb2dd84943bdccf5f365b8ff7309e7d5270892ef80f9428cd7e0bf5bfd8eba67fb125a8c4db90afcd5fba2
Homepage: https://cran.r-project.org/package=eechidna
Description: CRAN Package 'eechidna' (Exploring Election and Census Highly Informative Data Nationallyfor Australia)
 Data from the seven Australian Federal Elections (House of Representatives)
 between 2001 and 2019, and from the four Australian Censuses over the same
 period. Includes tools for visualizing and analysing the data, as well as
 imputing Census data for years in which a Census does not occur. This
 package incorporates data that is copyright Commonwealth of Australia
 (Australian Electoral Commission and Australian Bureau of Statistics) 2019.

Package: r-cran-eeea
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-eeea_1.0.0-1.ca2004.1_all.deb
Size: 89928
MD5sum: 117071ce57b58497e6aec198b29fcbbd
SHA1: 1895c2c1384ddb024cdad7d3fa39713c3789084b
SHA256: 84a5c81940bc9068cb66fd590ff15eb8118c6b863ba4e6865cfae7b46b201ebe
SHA512: 6916b1a2a1921514378dd012ca8bc78820bc9e7caebdf0fdeda3d778ba1f698687c8436a7975fc0f69bb4f77be1d7d2d4ca331dc5595a5918f889905d54c8d89
Homepage: https://cran.r-project.org/package=EEEA
Description: CRAN Package 'EEEA' (Explicit Exploration Strategy for Evolutionary Algorithms)
 Implements an explicit exploration strategy for evolutionary algorithms in
 order to have a more effective search in solving optimization problems.
 Along with this exploration search strategy, a set of four different
 Estimation of Distribution Algorithms (EDAs) are also implemented for
 solving optimization problems in continuous domains. The implemented
 explicit exploration strategy in this package is described in
 Salinas-Gutiérrez and Muñoz Zavala (2023) <doi:10.1016/j.asoc.2023.110230>.

Package: r-cran-eefanalytics
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r2jags, r-cran-ggplot2, r-cran-lme4, r-cran-mvtnorm, r-cran-coda, r-cran-mcmcvis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eefanalytics_1.1.5-1.ca2004.1_all.deb
Size: 260844
MD5sum: 91ca421e8a0f785e3b7f1a8178a3daf1
SHA1: ddcbeab70a19cb51bb0f4167289af67872c349c2
SHA256: 5d3f37cd105b6878cb6c4c058191ee03ed8c5869aa5066f72943fdea593a7e9e
SHA512: 836c16432477fcdcf7643f1d448520153c81b7a7471e9fc0fabe89d07fb48bb0c2794734ce54d99a31db12d2074c689e2a0013d3ee9ead0a4065851b598e2b33
Homepage: https://cran.r-project.org/package=eefAnalytics
Description: CRAN Package 'eefAnalytics' (Robust Analytical Methods for Evaluating EducationalInterventions using Randomised Controlled Trials Designs)
 Analysing data from evaluations of educational interventions using a
 randomised controlled trial design. Various analytical tools to perform
 sensitivity analysis using different methods are supported (e.g. frequentist
 models with bootstrapping and permutations options, Bayesian models). The
 included commands can be used for simple randomised trials, cluster
 randomised trials and multisite trials. The methods can also be used more
 widely beyond education trials. This package can be used to evaluate other
 intervention designs using Frequentist and Bayesian multilevel models.

Package: r-cran-eegkit
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 581
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-eegkitdata, r-cran-bigsplines, r-cran-ica, r-cran-rgl, r-cran-signal
Filename: pool/dists/focal/main/r-cran-eegkit_1.0-5-1.ca2004.1_all.deb
Size: 557268
MD5sum: 96ffd59a7bdd52ba49190eef690a8d4f
SHA1: bc24ca2d38ae9a7b444604f771554c3bdc88fa9d
SHA256: bc32e623866df87d482f76425849662adc6109f1cf96576fa9bb1123221055fb
SHA512: 4d6e6c5883cc69161db047d37464254ad50873170acebc572088e9a585eddb04ea681678b181c514ef38097d1db19fb6a8fd5692e1a9b98575e316980e9d98a4
Homepage: https://cran.r-project.org/package=eegkit
Description: CRAN Package 'eegkit' (Toolkit for Electroencephalography Data)
 Analysis and visualization tools for electroencephalography (EEG) data.
 Includes functions for (i) plotting EEG data, (ii) filtering EEG data, (iii)
 smoothing EEG data; (iv) frequency domain (Fourier) analysis of EEG data,
 (v) Independent Component Analysis of EEG data, and (vi) simulating
 event-related potential EEG data.

Package: r-cran-eegkitdata
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1374
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eegkitdata_1.1-1.ca2004.1_all.deb
Size: 1369944
MD5sum: ad239012e0c1e0b9278f95d2172b273a
SHA1: 6b2644174df2b755afe2d57681c316791863fc76
SHA256: d705d464c1a050e82d9c472a3c788d57cf0e7bf2209f634786075bd9ae98cad1
SHA512: 37dbdba2ce78d30736422e9cd8c251accde1a54e213ae0e0eecc9a8da933a25ca50c02ce631c62a63a62ca3f729fb2e7585008382dc833f116599d0c39f27d50
Homepage: https://cran.r-project.org/package=eegkitdata
Description: CRAN Package 'eegkitdata' (Electroencephalography Toolkit Datasets)
 Contains the example EEG data used in the package eegkit. Also contains code
 for easily creating larger EEG datasets from the EEG Database on the UCI
 Machine Learning Repository.

Package: r-cran-eel
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emplik, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-eel_1.1-1.ca2004.1_all.deb
Size: 43444
MD5sum: 5950a3df23b9c5343a9df1f5b3a502e2
SHA1: ee4cf57d5cc991dde543347d3a40c2804b62177a
SHA256: a22339782d47fa7e3afef84844e1fc97c21626a30821085427b8a64ef466bee4
SHA512: df6b5f6a1d12a652f140cf5f99ba1fcde2955d4ceaddf1a273f17bb80cd80982948e7394bab98385dffdaddf49aedc9cbdfe6000b26d3bb3cfd42b4e75c27256
Homepage: https://cran.r-project.org/package=eel
Description: CRAN Package 'eel' (Extended Empirical Likelihood)
 Compute the extended empirical log likelihood ratio (Tsao & Wu, 2014) for
 the mean and parameters defined by estimating equations.

Package: r-cran-eem
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 761
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-colorramps, r-cran-r.utils, r-cran-sp, r-cran-ggplot2
Suggests: r-cran-pls, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eem_1.1.1-1.ca2004.1_all.deb
Size: 462832
MD5sum: 0c23f98b419f790c7daf1e7ec42ed268
SHA1: b73445b8a1ce3090c8ac1e92821433cb815f4c9a
SHA256: e582c0844ae40fc20e17e1ceffaaeebf781c05292daa2974ace72aa34b0e0787
SHA512: c5b50332dddecdb46ae63bfcc90ce71974e890b6f929de0d6a0932b4eb0c3ae5783ed0d5374d9ec03ea8a734c887fde458d0397bd41a395ff105945598ad4c7c
Homepage: https://cran.r-project.org/package=EEM
Description: CRAN Package 'EEM' (Read and Preprocess Fluorescence Excitation-Emission Matrix(EEM) Data)
 Read raw EEM data and prepares them for further analysis.

Package: r-cran-eemdarima
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-rlibeemd
Filename: pool/dists/focal/main/r-cran-eemdarima_0.1.0-1.ca2004.1_all.deb
Size: 21732
MD5sum: e215b3bd125fab61d8d53d5289d9c812
SHA1: 24d1b1b44aa721c9d373e4ca582b47321412ff52
SHA256: 36183f708faee68ab0197f0cc9b02ae1f1ea34e655977fd0791ef896330681aa
SHA512: ed63b510a7d0a701458ca4ddde21e01379fdb06fbc077eddc006c600677e29d1daf95c9ca9c6b7c0b7fe81695069e206afa1864595ee4a4e8fdbd5b0ddd7c0d7
Homepage: https://cran.r-project.org/package=eemdARIMA
Description: CRAN Package 'eemdARIMA' (EEMD Based Auto Regressive Integrated Moving Average Model)
 Forecasting time series with different decomposition based ARIMA models. For
 method details see Yu L, Wang S, Lai KK (2008).
 <doi:10.1016/j.eneco.2008.05.003>.

Package: r-cran-eemdelm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-forecast, r-cran-nnfor, r-cran-rlibeemd
Filename: pool/dists/focal/main/r-cran-eemdelm_0.1.1-1.ca2004.1_all.deb
Size: 28952
MD5sum: b1a79c1373b0e54afdd946247e84045d
SHA1: befdb43a194b09ca4c5e7ecbcd2c9509fbf852df
SHA256: d39ef85d980e840fa1b8ccee848a3852eeb91ae501b5f4dd00805476f392cc33
SHA512: 12bd6807b3ee9722414bc890632ccba29841ead3f2d53d7cc5fb18189f2aa0ddc25b37ce03db63ab97142e0eee5dcab8795d3abc8e69707c14af48da3de2596e
Homepage: https://cran.r-project.org/package=EEMDelm
Description: CRAN Package 'EEMDelm' (Ensemble Empirical Mode Decomposition and Its Variant Based ELMModel)
 Forecasting univariate time series with different decomposition based
 Extreme Learning Machine models. For method details see Yu L, Wang S, Lai KK
 (2008). <doi:10.1016/j.eneco.2008.05.003>, Parida M, Behera MK, Nayak N
 (2018). <doi:10.1109/ICSESP.2018.8376723>.

Package: r-cran-eemdlstm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-reticulate, r-cran-tsutils, r-bioc-biocgenerics, r-cran-magrittr, r-cran-rlibeemd, r-cran-tsdeeplearning
Filename: pool/dists/focal/main/r-cran-eemdlstm_0.1.0-1.ca2004.1_all.deb
Size: 25456
MD5sum: 79f7b587cfb701873e5406084ad697b4
SHA1: de6ca0b5ea4b8b60fc562e0fcdffc30172d6ba86
SHA256: 51c7e88e11cec4e3cd3f679c83455c4605777c84fe470b85b6ffe1711d9ae531
SHA512: 88b568fa306761c533fee245c22a0552e774944e5475cbe461c5929c06ec8cd08f37d86c334790be22683df03a3f43023f7f4c99f50379b3b918a94cef09385d
Homepage: https://cran.r-project.org/package=EEMDlstm
Description: CRAN Package 'EEMDlstm' (EEMD Based LSTM Model for Time Series Forecasting)
 Forecasting univariate time series with ensemble empirical mode
 decomposition (EEMD) with long short-term memory (LSTM). For method details
 see Jaiswal, R. et al. (2022). <doi:10.1007/s00521-021-06621-3>.

Package: r-cran-eemdsvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlibeemd, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-eemdsvr_0.1.0-1.ca2004.1_all.deb
Size: 22076
MD5sum: 73f35a98af246e8b5cd78c8444f3d160
SHA1: d6239150f1ca0b15c6f2f886e42593968f3314fb
SHA256: 26be890f0e1d0ccbe1c7f57056b01f79f0b46b70a84f6c893b33e19af814e391
SHA512: 8f8a732cf3175ee1fd79c3908046ad9e8bd3484e66ed0fcb1b9918ccec462748020da78d555903471f8f4abe80d41feb2aa65050e26309d510ed0837e96b9567
Homepage: https://cran.r-project.org/package=EEMDSVR
Description: CRAN Package 'EEMDSVR' (Ensemble Empirical Mode Decomposition and Its Variant BasedSupport Vector Regression Model)
 Application of Ensemble Empirical Mode Decomposition and its variant based
 Support Vector regression model for univariate time series forecasting. For
 method details see Das
 (2020).<http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

Package: r-cran-eemdtdnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-rlibeemd
Filename: pool/dists/focal/main/r-cran-eemdtdnn_0.1.0-1.ca2004.1_all.deb
Size: 28792
MD5sum: 5c1404235c7e869153e440a555fa5938
SHA1: caee09d5e7569f62e4196e3d21e04b751aec4faa
SHA256: a4bf67bb6f43bce429344ac04062dba8e03d334170ae802b3bcafe680543224b
SHA512: c571ab4468fc367cef8809adc73cc73231b4df86bf3d46fe6b8125d82d24fd7c90445859643d3499eaa0d6a9d7b8a4800a00a2cdecec9a86136702d1f6167697
Homepage: https://cran.r-project.org/package=eemdTDNN
Description: CRAN Package 'eemdTDNN' (EEMD and Its Variant Based Time Delay Neural Network Model)
 Forecasting univariate time series with different decomposition based time
 delay neural network models. For method details see Yu L, Wang S, Lai KK
 (2008). <doi:10.1016/j.eneco.2008.05.003>.

Package: r-cran-eeml
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mcs, r-cran-weightedensemble, r-cran-topsis
Filename: pool/dists/focal/main/r-cran-eeml_0.1.1-1.ca2004.1_all.deb
Size: 20412
MD5sum: 80c71eec88b17410b4c0ee436348586c
SHA1: 4fc410980a667c8b0b4afbe4d8b3bb633e11787c
SHA256: b36299cb51d6445d033e5e919fd2f7232b0cd906f4d46e5b29ace484c264d029
SHA512: fcb7d9eb3ecd40eae16316490d5d568b57a27b0717dac2d899d097211e14895b1b82a840add3a893f27319875dffc33f9728477ba8815e43dd4bff679e9332a1
Homepage: https://cran.r-project.org/package=EEML
Description: CRAN Package 'EEML' (Ensemble Explainable Machine Learning Models)
 We introduced a novel ensemble-based explainable machine learning model
 using Model Confidence Set (MCS) and two stage Technique for Order of
 Preference by Similarity to Ideal Solution (TOPSIS) algorithm. The model
 combined the predictive capabilities of different machine-learning models
 and integrates the interpretability of explainability methods. To develop
 the proposed algorithm, a two-stage Technique for Order of Preference by
 Similarity to Ideal Solution (TOPSIS) framework was employed. The package
 has been developed using the algorithm of Paul et al. (2023)
 <doi:10.1007/s40009-023-01218-x> and Yeasin and Paul (2024)
 <doi:10.1007/s11227-023-05542-3>.

Package: r-cran-eemr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3834
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-r.matlab, r-cran-pracma, r-cran-rlist, r-cran-viridis, r-cran-purrr, r-cran-assertthat
Suggests: r-cran-cdom, r-cran-magrittr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plot3d, r-cran-extrafont, r-cran-tidyr, r-cran-shiny, r-cran-dt, r-cran-mba, r-cran-here, r-cran-covr
Filename: pool/dists/focal/main/r-cran-eemr_1.0.2-1.ca2004.1_all.deb
Size: 1006732
MD5sum: 3c36e02791a3c64d3b6aa2ae5b765c08
SHA1: 8bb5ab67290b0acccb08f92212236f687bb7d963
SHA256: ddca99479486ae611e2ce88eeeda120f667778815e8d402424c79f263acd26ea
SHA512: 9b5267a2663e67e8e2c938d69f4aec8a4655d6e9437b19ad487112a1a6f8fed794931ea93087c763008256272574bceb42754859366b966f0f1a5d9429cd907c
Homepage: https://cran.r-project.org/package=eemR
Description: CRAN Package 'eemR' (Tools for Pre-Processing Emission-Excitation-Matrix (EEM)Fluorescence Data)
 Provides various tools for preprocessing Emission-Excitation-Matrix (EEM)
 for Parallel Factor Analysis (PARAFAC). Different methods are also provided
 to calculate common metrics such as humification index and fluorescence
 index.

Package: r-cran-eeptools
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-arm, r-cran-data.table, r-cran-vcd
Suggests: r-cran-testthat, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-eeptools_1.2.5-1.ca2004.1_all.deb
Size: 1448088
MD5sum: 908ddf62c6deaf026f8b2b4c9ad41bf0
SHA1: 0eb5e15623599adbbef6c42e6e1925e7fb52e2f6
SHA256: 543c1b1c9348f67f9aa4ad8ceec11b311c464f11c004ef89c1680c75ce2f09a7
SHA512: 0fca57f143d0ba5b1823171703df9cdabf79d1f3010ac812efe382118bca3abf6ccfed27e9ce5844b38a3d7aca61c6976597ded1d777a9f7e6a6baa955dcbfbf
Homepage: https://cran.r-project.org/package=eeptools
Description: CRAN Package 'eeptools' (Convenience Functions for Education Data)
 Collection of convenience functions to make working with administrative
 records easier and more consistent. Includes functions to clean strings, and
 identify cut points. Also includes three example data sets of administrative
 education records for learning how to process records with errors.

Package: r-cran-eesim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-viridis
Suggests: r-cran-dlnm, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-eesim_0.1.0-1.ca2004.1_all.deb
Size: 1542092
MD5sum: e2d45b1bd4393e723c1f7f1d918999af
SHA1: a2cba95918b5a1cd4f7f4c5b82f82ecf3274976d
SHA256: 5f89316c4ae702df06d46e721010ecd5aa5b43691d05cf186ed4b191bcb81048
SHA512: a8ef9775f60dc4f963cc909beced746f486a7a1d0663aa93c65ad47d1f855769b131268023ac94d1e2447453a21ad74fadf184b1a7efcd5220b1d4eb249bed71
Homepage: https://cran.r-project.org/package=eesim
Description: CRAN Package 'eesim' (Simulate and Evaluate Time Series for Environmental Epidemiology)
 Provides functions to create simulated time series of environmental
 exposures (e.g., temperature, air pollution) and health outcomes for use in
 power analysis and simulation studies in environmental epidemiology. This
 package also provides functions to evaluate the results of simulation
 studies based on these simulated time series. This work was supported by a
 grant from the National Institute of Environmental Health Sciences
 (R00ES022631) and a fellowship from the Colorado State University Programs
 for Research and Scholarly Excellence.

Package: r-cran-eespca
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rifle, r-cran-mass, r-cran-pma
Filename: pool/dists/focal/main/r-cran-eespca_0.7.0-1.ca2004.1_all.deb
Size: 205800
MD5sum: 7e66be5a50d0cfd6b4b0f55650973870
SHA1: 6534970d379b6939d64fcb99f988bde7afcd874a
SHA256: 7f62932e4d41d3aaecab872a1eff352f651887aea7cba874ffd2fb7c9e652a96
SHA512: cf02c1217b40606411ff54c7f3d3e18aa32b4d2f40423900a123a8da2ceaee1fc1dd71423542742c3c24be9ca83232d09bf37deaa3c512db48808695612d5b27
Homepage: https://cran.r-project.org/package=EESPCA
Description: CRAN Package 'EESPCA' (Eigenvectors from Eigenvalues Sparse Principal ComponentAnalysis (EESPCA))
 Contains logic for computing sparse principal components via the EESPCA
 method, which is based on an approximation of the eigenvector/eigenvalue
 identity.  Includes logic to support execution of the TPower and rifle
 sparse PCA methods, as well as logic to estimate the sparsity parameters
 used by EESPCA, TPower and rifle via cross-validation to minimize the
 out-of-sample reconstruction error.  H. Robert Frost (2021)
 <doi:10.1080/10618600.2021.1987254>.

Package: r-cran-efa.dimensions
Architecture: all
Version: 0.1.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1009
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-psych, r-cran-polycor, r-cran-efatools, r-cran-mirt, r-cran-gparotation
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-efa.dimensions_0.1.8.4-1.ca2004.1_all.deb
Size: 999636
MD5sum: 01adb6fffed7be673b93c738ac24f3d8
SHA1: 951d9d00fbb96c2e86917408a50c52fb3a629b1e
SHA256: 20be87a2fbb27c0457eac05f97e8e03596d02a1df96110969386c238804f77e3
SHA512: a20c5397b145dd3b26c6afb60c08e61520eec6e36be4c0f4e4aacb4230bd740854a3fcecb65901d758cfa8ab2fb9381cd4e4465efc1ac86d504fd81c90d671cc
Homepage: https://cran.r-project.org/package=EFA.dimensions
Description: CRAN Package 'EFA.dimensions' (Exploratory Factor Analysis Functions for AssessingDimensionality)
 Functions for eleven procedures for determining the number of factors,
 including functions for parallel analysis and the minimum average partial
 test. There are also functions for conducting principal components analysis,
 principal axis factor analysis, maximum likelihood factor analysis, image
 factor analysis, and extension factor analysis, all of which can take raw
 data or correlation matrices as input and with options for conducting the
 analyses using Pearson correlations, Kendall correlations, Spearman
 correlations, gamma correlations, or polychoric correlations. Varimax
 rotation, promax rotation, and Procrustes rotations can be performed.
 Additional functions focus on the factorability of a correlation matrix, the
 congruences between factors from different datasets, the assessment of local
 independence, the assessment of factor solution complexity, and internal
 consistency.  Auerswald & Moshagen (2019, ISSN:1939-1463); Field, Miles, &
 Field (2012, ISBN:978-1-4462-0045-2); Mulaik (2010, ISBN:978-1-4200-9981-2);
 O'Connor (2000, <doi:10.3758/bf03200807>); O'Connor (2001, ISSN:0146-6216).

Package: r-cran-efa.mrfa
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-scales, r-cran-pcovr, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-efa.mrfa_1.1.2-1.ca2004.1_all.deb
Size: 99512
MD5sum: 98cf6fa767d2003ed225b169a4078755
SHA1: 0c3f1a987093b51977695e693977334853a41c47
SHA256: e2968a045f3e02d31d9483704bfef77862aa0096ffcb43459a31968c0e25777c
SHA512: bfb35c3177e57236f0dadbb9921fb5c6ecb9d92c8d5f80934c944e0dbab7acc4a975c5893b89852562169360ba8f57714f05a231118c5fc23cb9290a60bf1658
Homepage: https://cran.r-project.org/package=EFA.MRFA
Description: CRAN Package 'EFA.MRFA' (Dimensionality Assessment Using Minimum Rank Factor Analysis)
 Performs parallel analysis (Timmerman & Lorenzo-Seva, 2011
 <doi:10.1037/a0023353>) and hull method (Lorenzo-Seva, Timmerman, & Kiers,
 2011 <doi:10.1080/00273171.2011.564527>) for assessing the dimensionality of
 a set of variables using minimum rank factor analysis (see ten Berge &
 Kiers, 1991 <doi:10.1007/BF02294464> for more information). The package also
 includes the option to compute minimum rank factor analysis by itself, as
 well as the greater lower bound calculation.

Package: r-cran-efautilities
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gparotation, r-cran-plyr, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-efautilities_2.1.3-1.ca2004.1_all.deb
Size: 324872
MD5sum: 111be9b52d3773e800f365417a342350
SHA1: 8b1f84bdf1e8a2b8d3be7614ea861d1393c2e627
SHA256: bda2db47a964733c42052e580f1404c9becc12fed297f7977476a65f2f39c342
SHA512: 7e0bddb7d33960c0c87cfd49bf7dc0aa93a62a15f85d1069b3bfc763dcac6c13a87e03910773415928f537aa17b7d2b8d4a9f4ffc509a47be1dc2b49dda8a6f2
Homepage: https://cran.r-project.org/package=EFAutilities
Description: CRAN Package 'EFAutilities' (Utility Functions for Exploratory Factor Analysis)
 A number of utility function for exploratory factor analysis are included in
 this package. In particular, it computes standard errors for parameter
 estimates and factor correlations under a variety of conditions.

Package: r-cran-efdm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-efdm_0.2.1-1.ca2004.1_all.deb
Size: 264644
MD5sum: 42f8e1c75a9a7d21756b7da9cf8b4b25
SHA1: e1b992ed15b0700c0b2265cba749cb987811af53
SHA256: d07ac4b6390b60c027da4861b075fb7a41209073c4335fcbfd346cf1f2cc9ad0
SHA512: 6e41200693c80d4576cb33ae6aa85a46d1c624fdf2f9cd986f11e6d738da65b85420d345ec96c474fb8e66755d2bf1a7daf7b941e5115b7128b32837a10f451f
Homepage: https://cran.r-project.org/package=efdm
Description: CRAN Package 'efdm' (Simulate Forest Resources with the European Forestry DynamicsModel)
 An implementation of European Forestry Dynamics Model (EFDM) and an
 estimation algorithm for the transition probabilities.  The EFDM is a
 large-scale forest model that simulates the development of the forest and
 estimates volume of wood harvested for any given forested area. This
 estimate can be broken down by, for example, species, site quality,
 management regime and ownership category.  See Packalen et al. (2015)
 <doi:10.2788/153990>.

Package: r-cran-efdr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1430
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-copula, r-cran-matrix, r-cran-foreach, r-cran-doparallel, r-cran-waveslim, r-cran-gstat, r-cran-tidyr, r-cran-dplyr, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ggplot2, r-cran-rcurl, r-cran-fields, r-cran-gridextra, r-cran-animation
Filename: pool/dists/focal/main/r-cran-efdr_1.3-1.ca2004.1_all.deb
Size: 915984
MD5sum: c52c90d0b43a1218beb536fd0651a4b6
SHA1: 79386bf5319debf601ce31cded9fc808a3b6a8d1
SHA256: d86d73b691b68a0c0978b34a038539a08379d0270462f516fe373ede32587131
SHA512: c32cb1f883330859031e9d2c890d655b9957a5aaf90bbe92c5060e62d21194f3837f5b620b6b0abcb10cbbe222c036f7bc7f66db257da250eeb2ff6642d06cdf
Homepage: https://cran.r-project.org/package=EFDR
Description: CRAN Package 'EFDR' (Wavelet-Based Enhanced FDR for Detecting Signals from Completeor Incomplete Spatially Aggregated Data)
 Enhanced False Discovery Rate (EFDR) is a tool to detect anomalies in an
 image. The image is first transformed into the wavelet domain in order to
 decorrelate any noise components, following which the coefficients at each
 resolution are standardised. Statistical tests (in a multiple hypothesis
 testing setting) are then carried out to find the anomalies. The power of
 EFDR exceeds that of standard FDR, which would carry out tests on every
 wavelet coefficient: EFDR choose which wavelets to test based on a criterion
 described in Shen et al. (2002). The package also provides elementary tools
 to interpolate spatially irregular data onto a grid of the required size.
 The work is based on Shen, X., Huang, H.-C., and Cressie, N.  'Nonparametric
 hypothesis testing for a spatial signal.' Journal of the American
 Statistical Association 97.460 (2002): 1122-1140.

Package: r-cran-eff2
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pcalg, r-bioc-rbgl, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-qgraph
Filename: pool/dists/focal/main/r-cran-eff2_1.0.2-1.ca2004.1_all.deb
Size: 193452
MD5sum: cf4c9ecf1eac997120bd4b9667a4220f
SHA1: d0d94fc4dacf4eb6bf095d1b1ef8c21ace2f1d34
SHA256: f4f87ad6fb679db3480b2cf1f66a4520fa8f6ce4f32085280e6e848cad2bf128
SHA512: 1cfb1296553d7525b4ebecb5d0af4978b4dc38a4d71ecf2cdd7e957bf1635ac692259fa98ad722e521a12ea8f0b75f34e1dbc5207bf8d9a84f00f309b9aadbe0
Homepage: https://cran.r-project.org/package=eff2
Description: CRAN Package 'eff2' (Efficient Least Squares for Total Causal Effects)
 Estimate a total causal effect from observational data under linearity and
 causal sufficiency. The observational data is supposed to be generated from
 a linear structural equation model (SEM) with independent and additive
 noise. The underlying causal DAG associated the SEM is required to be known
 up to a maximally oriented partially directed graph (MPDAG), which is a
 general class of graphs consisting of both directed and undirected edges,
 including CPDAGs (i.e., essential graphs) and DAGs. Such graphs are usually
 obtained with structure learning algorithms with added background knowledge.
 The program is able to estimate every identified effect, including single
 and multiple treatment variables. Moreover, the resulting estimate has the
 minimal asymptotic covariance (and hence shortest confidence intervals)
 among all estimators that are based on the sample covariance.

Package: r-cran-effclust
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fixest
Suggests: r-cran-plm, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-effclust_0.8.0-1.ca2004.1_all.deb
Size: 134928
MD5sum: 6c201d60a24ad092049808e76990fb98
SHA1: da2725be9910ee5b1ac0a629d7fbc1d983147899
SHA256: 2fe81fe0122ce4301e1c35d0489fd2ad3d206871a930869aacdba9a91e0435b9
SHA512: 6cf37554839ab3d85bdd7191a28f71bf4d9ed8797d2cd9b9b46750bd53a7d567fb662482ba477ff03eb5da98b264974b8cf20708080c8510fda0ca1b5c53939d
Homepage: https://cran.r-project.org/package=effClust
Description: CRAN Package 'effClust' (Calculate Effective Number of Clusters for a Linear Model)
 Calculates the (approximate) effective number of clusters for a regression
 model, as described in Carter, Schnepel, and Steigerwald (2017)
 <doi:10.1162/REST_a_00639>.  The effective number of clusters is a statistic
 to assess the reliability of asymptotic inference when sampling or treatment
 assignment is clustered. Methods are implemented for stats::lm(),
 plm::plm(), and fixest::feols(). There is also a formula method.

Package: r-cran-effectliter
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-shiny, r-cran-dt, r-cran-foreign, r-cran-ggplot2, r-cran-nnet, r-cran-car, r-cran-restriktor, r-cran-ic.infer, r-cran-numderiv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-effectliter_0.5-1-1.ca2004.1_all.deb
Size: 572676
MD5sum: 0adb54aca4740c0d0fe2fdc5b4c49db7
SHA1: de78a7da61efcb12e87e880bf3c913dcdb796955
SHA256: 596d4001b91e58b8a8e14354c37a551c8121a012302715f5dd359822668cb482
SHA512: 3ebf8d674f2a03735af33e945e3842f8a71116533e73564f3735ffb08933ea86eb823c956f93f2ea59252c2b0e01c32c7b9aa6e75b632ff866f75e766d1601c1
Homepage: https://cran.r-project.org/package=EffectLiteR
Description: CRAN Package 'EffectLiteR' (Average and Conditional Effects)
 Use structural equation modeling to estimate average and conditional effects
 of a treatment variable on an outcome variable, taking into account multiple
 continuous and categorical covariates.

Package: r-cran-effectr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-ggplot2, r-cran-shiny, r-cran-reshape2, r-cran-rmarkdown, r-cran-viridis
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-effectr_1.0.2-1.ca2004.1_all.deb
Size: 101816
MD5sum: 2fb4efa90185c80be3b908514a9ff399
SHA1: 3653ac70ce669b8bfcde6dd177a293591baafb5e
SHA256: e9f1d24003ef6334462bbf7015140b8171e5f2d40908a15a4e12ba2866f879a7
SHA512: e9dc733395a78e8b558de0d55efc8197e7988d2d0105905635ea72ae03e5fa46ce1f1f3fa9af82c6a1531afab69871dc1b6ecc99e12e68387f107b8eb7e1b0b6
Homepage: https://cran.r-project.org/package=effectR
Description: CRAN Package 'effectR' (Predicts Oomycete Effectors)
 Predicts cytoplasmic effector proteins using genomic data by searching for
 motifs of interest using regular expression searches and hidden Markov
 models (HMM) based in Haas et al. (2009) <doi:10.1038/nature08358>.

Package: r-cran-effects
Architecture: all
Version: 4.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2545
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cardata, r-cran-lme4, r-cran-nnet, r-cran-lattice, r-cran-colorspace, r-cran-survey, r-cran-estimability, r-cran-insight
Suggests: r-cran-pbkrtest, r-cran-nlme, r-cran-mass, r-cran-polca, r-cran-heplots, r-cran-ordinal, r-cran-car, r-cran-knitr, r-cran-betareg, r-cran-alr4, r-cran-robustlmm
Filename: pool/dists/focal/main/r-cran-effects_4.2-2-1.ca2004.1_all.deb
Size: 2341560
MD5sum: 7998962038f70fe2ef1ddc23934e7d70
SHA1: b90824c51de8e7a58d6a8d387e677380990b102e
SHA256: f4c9b6054f5f75fc21a67411b2d42934bd15e754730a427a3a84b2647cc4c0e4
SHA512: 3ced57c2645a3505d9da078dc1e23c5f03289c783bc719a008dd485261860206691ecdb4cb9af251a21c51640541d8b3666ea6c1b9ee591d2f8db9b85f1eb5e6
Homepage: https://cran.r-project.org/package=effects
Description: CRAN Package 'effects' (Effect Displays for Linear, Generalized Linear, and Other Models)
 Graphical and tabular effect displays, e.g., of interactions, for various
 statistical models with linear predictors.

Package: r-cran-effectsize
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1306
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-insight, r-cran-parameters, r-cran-performance, r-cran-datawizard
Suggests: r-cran-correlation, r-cran-see, r-cran-afex, r-cran-bayesfactor, r-cran-boot, r-cran-brms, r-cran-car, r-cran-emmeans, r-cran-gt, r-cran-knitr, r-cran-lavaan, r-cran-lme4, r-cran-lmertest, r-cran-mgcv, r-cran-parsnip, r-cran-pwr, r-cran-rmarkdown, r-cran-rms, r-cran-rstanarm, r-cran-rstantools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-effectsize_1.0.1-1.ca2004.1_all.deb
Size: 753136
MD5sum: 05199017038e618a09f8d87efff517b7
SHA1: 93f466cc9ea1efaed1256e1810c35f0c9ab150eb
SHA256: 96a4589cd86bc625535a2d6977958112eeddde73181d0979bfe267f2723d45b3
SHA512: 1f436dbe1c7a22f7cbecab2e12f348ae4117678cefb5481285494a3985de728f0eef52acbf71194817e9c47f835074bd89d90710ded1141f88cab6a617296a08
Homepage: https://cran.r-project.org/package=effectsize
Description: CRAN Package 'effectsize' (Indices of Effect Size)
 Provide utilities to work with indices of effect size for a wide variety of
 models and hypothesis tests (see list of supported models using the function
 'insight::supported_models()'), allowing computation of and conversion
 between indices such as Cohen's d, r, odds, etc.  References: Ben-Shachar et
 al. (2020) <doi:10.21105/joss.02815>.

Package: r-cran-effectsizescr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kendall
Filename: pool/dists/focal/main/r-cran-effectsizescr_0.1.0-1.ca2004.1_all.deb
Size: 20512
MD5sum: 57769ddf8fb3d1d9d5e7e1c7fa1f8cfb
SHA1: 54d3cbb0a8d96f779eae9927566535257816131c
SHA256: 4ee92c3b104d9f461941f2ac801997d63e2925a40264599e8c09f79c1ab51a93
SHA512: 39365980b67b91b66fd83bfc7e6552116ace65530e4a7ffcfc06fd39a05e1d23e4be34acb9d7986312f4558c79ad0de669be8c910beb385e93a59e6702645f34
Homepage: https://cran.r-project.org/package=effectsizescr
Description: CRAN Package 'effectsizescr' (Indices for Single-Case Research)
 Parametric and nonparametric statistics for single-case design. Regarding
 nonparametric statistics, the index suggested by Parker, Vannest, Davis and
 Sauber (2011) <doi:10.1016/j.beth.2010.08.006> was included. It combines
 both nonoverlap and trend to estimate the effect size of a treatment in a
 single case design.

Package: r-cran-effectsrelbaseline
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-boot
Filename: pool/dists/focal/main/r-cran-effectsrelbaseline_0.5-1.ca2004.1_all.deb
Size: 34424
MD5sum: 2ed66580d1641ca01a88770a67c9142e
SHA1: e5dd78087898f69076e8f539b47000117d8b9391
SHA256: 3ced0d8529ca5aaf1618ff0d571242d9c9cd3b36435909140fbf6bedbf8eda95
SHA512: 4927eb3f2ee4875014b1a0a96b650bf36bd0aa079f33a0eb81d4f07cba5e824eb099ba97cc3c1c214ac1c0bdd0fc906996cc8d0c3d771d1e1d85d0bebe44810c
Homepage: https://cran.r-project.org/package=EffectsRelBaseline
Description: CRAN Package 'EffectsRelBaseline' (Test changes of a grouped response relative to baseline)
 Functions to test for changes of a response to a stimulus grouping relative
 to a background or baseline response.

Package: r-cran-effectstars2
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam, r-cran-misctools
Suggests: r-cran-diflasso, r-cran-difboost, r-cran-vgamdata
Filename: pool/dists/focal/main/r-cran-effectstars2_0.1-3-1.ca2004.1_all.deb
Size: 105428
MD5sum: 803f003f5c550eb07f9430ebb96539f2
SHA1: 65ce06f809f5bbdfe5166b59a5e419d068245491
SHA256: ed8736cd0f6bff53266e1adaa1acc3c776f8e0f03c7d8b531da3b52d1d15cf80
SHA512: 1ce75de92202031e9c9ebbbaf2728a56ebc71188c7d835047e78bb436e2e4ac4f116dee11f8382dfa483663adb6a6c2bdadf2cc8aff1b3f95fd60ed40c6f271a
Homepage: https://cran.r-project.org/package=EffectStars2
Description: CRAN Package 'EffectStars2' (Effect Stars)
 Provides functions for the method of effect stars as proposed by Tutz and
 Schauberger (2013) <doi:10.1080/10618600.2012.701379>. Effect stars can be
 used to visualize estimates of parameters corresponding to different groups,
 for example in multinomial logit models. Beside the main function
 'effectstars' there exist methods for special objects, for example for
 'vglm' objects from the 'VGAM' package.

Package: r-cran-effectstars
Architecture: all
Version: 1.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-effectstars_1.9-1-1.ca2004.1_all.deb
Size: 260316
MD5sum: 509af3b12291426f4232f3cc1ea36cdb
SHA1: 65450fa892b7a2bb791d3ef95158ec7bf1c8ad3a
SHA256: 8ddb8882d795a914d5ed73af9caeec128dabbde6d501504167f1676d52acef14
SHA512: db64428055dcba6789d6f5eb9f2dea18f40f2f0e5a29789eafaa5393e9e77c5e45e3804b171b555e4ef607af5f7d90ab355f6af7b304ceec73321f4c27935f37
Homepage: https://cran.r-project.org/package=EffectStars
Description: CRAN Package 'EffectStars' (Visualization of Categorical Response Models)
 Notice: The package EffectStars2 provides a more up-to-date implementation
 of effect stars! EffectStars provides functions to visualize regression
 models with categorical response as proposed by Tutz and Schauberger (2013)
 <doi:10.1080/10618600.2012.701379>. The effects of the variables are plotted
 with star plots in order to allow for an optical impression of the fitted
 model.

Package: r-cran-effecttreat
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-effecttreat_1.1-1.ca2004.1_all.deb
Size: 130424
MD5sum: e7c28c6be46348022ff9259839d204ea
SHA1: 2e09a020c58bae92650ec1f13ef4919f39998e9a
SHA256: 27033d3f4765cea3edb5c9b1c27b2e1745a04040f0d7aa6ec8ab7d5befd6effe
SHA512: ffde329dbff84688884af9c0b1541010ef3cd05fe2bc2dd2835583d7792cd0f0d9953e318236737f239898a8e9fcb2645f1c6e62dbe531e4e2a15abf41ae2263
Homepage: https://cran.r-project.org/package=EffectTreat
Description: CRAN Package 'EffectTreat' (Prediction of Therapeutic Success)
 In personalized medicine, one wants to know, for a given patient and his or
 her outcome for a predictor (pre-treatment variable), how likely it is that
 a treatment will be more beneficial than an alternative treatment. This
 package allows for the quantification of the predictive causal association
 (i.e., the association between the predictor variable and the individual
 causal effect of the treatment) and related metrics. Part of this software
 has been developed using funding provided from the European Union's 7th
 Framework Programme for research, technological development and
 demonstration under Grant Agreement no 602552.

Package: r-cran-efficientmaxeigenpair
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-efficientmaxeigenpair_0.1.4-1.ca2004.1_all.deb
Size: 384136
MD5sum: bd4d8165c0e32a4be988dac86b369797
SHA1: b519c302c303e6552b43bbc545d819b33174b4ff
SHA256: b4728fff8c0668442f990158dcd587cf4c38c5c3e0970cb57ba8b9b34d4ba5a5
SHA512: 636cfdb0bc2d3cf867377b0e09451d6554f4c4d3522843c7a764b97bae62f462b28cde59c5ff9dcfb7580cb1629c4effe095dd25a82a63d279969d2cc14c0b49
Homepage: https://cran.r-project.org/package=EfficientMaxEigenpair
Description: CRAN Package 'EfficientMaxEigenpair' (Efficient Initials for Computing the Maximal Eigenpair)
 An implementation for using efficient initials to compute the maximal
 eigenpair in R. It provides three algorithms to find the efficient initials
 under two cases: the tridiagonal matrix case and the general matrix case.
 Besides, it also provides two algorithms for the next to the maximal
 eigenpair under these two cases.

Package: r-cran-efflog
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-efflog_1.0-1.ca2004.1_all.deb
Size: 49548
MD5sum: 4788f9f613caf796757bb25898c17c9b
SHA1: 9ce0bf64571cc4aa625c5a62ee1e4bc03a2c28fb
SHA256: 332b90f577c35e3388c089a19da8d0e3241334c477ece63858916f1ffdf076fb
SHA512: 9978d44e642b65061bebbf3cb4beb9cb7106dff7f292bc7139dd52478fad75713a4933bc5395f289e22ab507fe9a84dab5a652a01e0edc3ab4ada5054dc5900c
Homepage: https://cran.r-project.org/package=efflog
Description: CRAN Package 'efflog' (The Causal Effects for a Causal Loglinear Model)
 Fitting a causal loglinear model and calculating the causal effects for a
 causal loglinear model with the multiplicative interaction or without the
 multiplicative interaction, obtaining the natural direct, indirect and the
 total effect. It calculates also the cell effect, which is a new interaction
 effect.

Package: r-cran-effsize
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-effsize_0.8.1-1.ca2004.1_all.deb
Size: 63724
MD5sum: ce437e3eea4f77af650b4b4f90ebbd42
SHA1: 796cdd2c0d55dcd82a27a96ac29927f4176e8e54
SHA256: 3bed405e77754fe02ed0c109e73e3f6e490ab52d48ead8d8f63a0c45c9bf8347
SHA512: 6f782ee7640e65da8e3e7456509a890f73804cd1f03e609363420c36377e8cea018e5091ad01ab2953e54eb9f2271b4e6db64aa91dc849cc121b4778192d3841
Homepage: https://cran.r-project.org/package=effsize
Description: CRAN Package 'effsize' (Efficient Effect Size Computation)
 A collection of functions to compute the standardized effect sizes for
 experiments (Cohen d, Hedges g, Cliff delta, Vargha-Delaney A).  The
 computation algorithms have been optimized to allow efficient computation
 even with very large data sets.

Package: r-cran-eflm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-broom, r-cran-sandwich, r-cran-testthat, r-cran-patrick, r-cran-rlang, r-cran-covr
Filename: pool/dists/focal/main/r-cran-eflm_0.3.0-1.ca2004.1_all.deb
Size: 199092
MD5sum: 3e961cbdfc256917bc59bda5ca3d8534
SHA1: cca122a7f635e75c7fab9c7a47f3e30f2b306727
SHA256: 42ae45963458f4188ef80e51f3356e3ca1996ec946a57797a409a9a0b7e6b9d2
SHA512: 714518f101298b20188362ed413bd6484dbf461eb3da8638f47f284c041317e14603f321873a5e366e54ab572a095d55e35ffa483fd5e626cd5c2b0f3fcebb10
Homepage: https://cran.r-project.org/package=eflm
Description: CRAN Package 'eflm' (Efficient Fitting of Linear and Generalized Linear Models)
 Efficient Fitting of Linear and Generalized Linear Models by using just base
 R. As an alternative to lm() and glm(), this package provides elm() and
 eglm(), with a significant speedup when the number of observations is larger
 than the number of parameters to estimate. The speed gains are obtained by
 reducing the NxP model matrix to a PxP matrix, and the best computational
 performance is obtained when R is linked against 'OpenBLAS', 'Intel MKL' or
 other optimized 'BLAS' library. This implementation aims at being compatible
 with 'broom' and 'sandwich' packages for summary statistics and clustering
 by providing S3 methods.

Package: r-cran-efreadr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-ensurer, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-efreadr_0.2.2-1.ca2004.1_all.deb
Size: 44660
MD5sum: ea44390759ca1f1e7bc2108efc2e3c51
SHA1: 5603555bec10a388f6c6046559fd82b6f14cb319
SHA256: 614809d878812bb4b05386b9ac192fdba02a45bf7b0e4db1d532e2d6bfd0ac25
SHA512: 249fd7f4c658477df910c9acb948f7a87773e630b46e57ff303add7ed81571fb323440eb7254ad6e86e088cec79a0f01599889cac07828e8041c55f27fb5e818
Homepage: https://cran.r-project.org/package=efreadr
Description: CRAN Package 'efreadr' (Read European Eddy Fluxes CSV Files)
 The European Eddy Fluxes Database Cluster distributes fluxes of different
 Green House Gases measured mainly using the eddy covariance technique
 acquired in sites involved in EU projects but also single sites in Europe,
 Africa and others continents that decided to share their measurements in the
 database <http://gaia.agraria.unitus.it>. The package provides two functions
 to load and row-wise bind CSV files distributed by the database. Currently
 only L2, L3, and L4 (L=Level), half-hourly and daily (aggregation) files are
 supported.

Package: r-cran-efred
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-efred_0.1.0-1.ca2004.1_all.deb
Size: 154552
MD5sum: 1e77c586c24c121c2bcad8c8259ebbb9
SHA1: f73fcc8c127c25ecfc05ecb886724791aa469240
SHA256: b2467558443b0a2caa5c57b0e0a92e079cd6adbbdea5c76e0375862559fc4146
SHA512: 2033fe04a3a136c9521740ed57d8d0d89c56e1155cc05771f4239573cda625e286764acdeab7465b3e48454878115f9b8ee3bcb94cf8877c57f8c41d961c14e1
Homepage: https://cran.r-project.org/package=eFRED
Description: CRAN Package 'eFRED' (Fetch Data from the Federal Reserve Economic Database)
 Interact with the FRED API, <https://fred.stlouisfed.org/docs/api/fred/>, to
 fetch observations across economic series; find information about different
 economic sources, releases, series, etc.; conduct searches by series name,
 attributes, or tags; and determine the latest updates. Includes functions
 for creating panels of related variables with minimal effort and datasets
 containing data sources, releases, and popular FRED tags.

Package: r-cran-efs
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-party, r-cran-proc, r-cran-randomforest, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-efs_1.0.3-1.ca2004.1_all.deb
Size: 64300
MD5sum: 7cd0b4954f634b74ec96a23534e14a82
SHA1: 3c6c568c1a3e1fbbd8bcd9c6947c27ae1fabd32b
SHA256: 95467b3e095263d29adb6d86fb860f6e9042be2faab8c3e455c6638fc791b7d1
SHA512: f8297df5f7a129e6fd5549910ab9f42282c742efbf20641c102d441657f760a0701ce21fb6d676231a0684f45ea9595a44bcfe75f37a98fa85d53da3fa779476
Homepage: https://cran.r-project.org/package=EFS
Description: CRAN Package 'EFS' (Tool for Ensemble Feature Selection)
 Provides a function to check the importance of a feature based on a
 dependent classification variable. An ensemble of feature selection methods
 is used to determine the normalized importance value of all features.
 Combining these methods in one function (building the cumulative importance
 values) provides a stable feature selection tool. This selection can also be
 viewed in a barplot using the barplot_fs() function and proved using the
 evaluation function efs_eval().

Package: r-cran-ega
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mgcv
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ega_2.0.0-1.ca2004.1_all.deb
Size: 840280
MD5sum: 798d258a591e4090af4525f7d0e182f2
SHA1: 6287e248b610ba948f86b691b341f4daba24311c
SHA256: 26ad3d2f1de31496f9142fc3a6ec73715ee9cd100f9b1bf19544ad5cd34edb1d
SHA512: 6d28d558217744cf98d2de651b8e784ce908f9b974d1a385bac6cad94a646135076ad8494315b149d2a5befa8fd3d65094972e55007172241fa7817d7533b958
Homepage: https://cran.r-project.org/package=ega
Description: CRAN Package 'ega' (Error Grid Analysis)
 Functions for assigning Clarke or Parkes (Consensus) error grid zones to
 blood glucose values, and for plotting both types of error grids in both
 mg/mL and mmol/L units.

Package: r-cran-egcm
Architecture: all
Version: 1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-zoo, r-cran-xts, r-cran-ggplot2, r-cran-tseries, r-cran-mass, r-cran-urca, r-cran-pracma, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-egcm_1.0.13-1.ca2004.1_all.deb
Size: 184520
MD5sum: 4c02d9cb401291eed315d3b14dcfc453
SHA1: d91030e06a15b8e652e2bce52b19ba094adb71de
SHA256: 9aa4ff70987d928d5ce2d6b4942efec9f4b8800492b8408d5268fe5f921ea64b
SHA512: bdec7259a65370c5cca6ff5634d6cf3c1427507dfaa4390c63e7de998d0ef4c486051ba7ae2f3d6b53aa5255fb795c886bb3b32e757280b62c717a873b392191
Homepage: https://cran.r-project.org/package=egcm
Description: CRAN Package 'egcm' (Engle-Granger Cointegration Models)
 An easy-to-use implementation of the Engle-Granger two-step procedure for
 identifying pairs of cointegrated series.  It is geared towards the analysis
 of pairs of securities.  Summary and plot functions are provided, and the
 package is able to fetch closing prices of securities from Yahoo.  A variety
 of unit root tests are supported, and an improved unit root test is
 included.

Package: r-cran-egg
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridextra, r-cran-ggplot2, r-cran-gtable
Suggests: r-cran-knitr, r-cran-png
Filename: pool/dists/focal/main/r-cran-egg_0.4.5-1.ca2004.1_all.deb
Size: 786668
MD5sum: ffe45b6582239654167d664bda1fba52
SHA1: 54c76f3e7d991a90ffaf6fe7c4a0d4d9ee4cafa7
SHA256: f969050919b51783d82b35be3239065907494399867566b78381d7055fbfe5b4
SHA512: f40f9442267bb79985c9e2ca59ba511f9c47650135c340dcc3205f2e8de887b2575cb8b819efb644066b99ed2b945b20d0b2672b65ed1c305fbd7987e643a365
Homepage: https://cran.r-project.org/package=egg
Description: CRAN Package 'egg' (Extensions for 'ggplot2': Custom Geom, Custom Themes, PlotAlignment, Labelled Panels, Symmetric Scales, and Fixed PanelSize)
 Miscellaneous functions to help customise 'ggplot2' objects. High-level
 functions are provided to post-process 'ggplot2' layouts and allow alignment
 between plot panels, as well as setting panel sizes to fixed values. Other
 functions include a custom 'geom', and helper functions to enforce symmetric
 scales or add tags to facetted plots.

Package: r-cran-egocor
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gstat, r-cran-rdpack, r-cran-shiny, r-cran-sp, r-cran-spatialtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lme4, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-egocor_1.3.3-1.ca2004.1_all.deb
Size: 180568
MD5sum: 1f1cdb2224112e2093f1bb0355229fef
SHA1: e4c9f8d07c96af353f4260e5148a082145b90963
SHA256: be8ce8ef1422df9ff693e5388dbfbd30507c3b5244fca39439a4510aadb0fccf
SHA512: d631c183ef467c5f8ae98449fc05125efffd5f1459239a2b986b946e6163ca462127e4e44135ceb8e144c9168efc0ba763a938925fd1ca48718291a3906c2342
Homepage: https://cran.r-project.org/package=EgoCor
Description: CRAN Package 'EgoCor' (Simple Presentation of Estimated Exponential Semi-Variograms)
 User friendly interface based on the R package 'gstat' to fit exponential
 parametric models to empirical semi-variograms in order to model the spatial
 correlation structure of health data. Geo-located health outcomes of survey
 participants may be used to model spatial effects on health in an
 ego-centred approach.  The package contains a range of functions to help
 explore the spatial structure of the data as well as visualize the fit of
 exponential models for various metaparameter combinations with respect to
 the number of lag intervals and maximal distance.  Furthermore, the outcome
 of interest can be adjusted for covariates by fitting a linear regression in
 a preliminary step before the semi-variogram fitting process.

Package: r-cran-egor
Architecture: all
Version: 1.24.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3861
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-tidygraph, r-cran-srvyr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-pillar
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-survey, r-cran-shiny, r-cran-igraph, r-cran-network, r-cran-haven
Filename: pool/dists/focal/main/r-cran-egor_1.24.2-1.ca2004.1_all.deb
Size: 2552508
MD5sum: 398ded149175bae3f16d7b3090072eb5
SHA1: 03b27a0abc8698abfd0ef565b8fcd4d1afbf013b
SHA256: 185225d575ed5f654785c5772642d5690fb39b26fa219595d27b71bd03d7b688
SHA512: f7c23d168998e5bd57aa97d9c79f5485ee325bf34f6dd97fb339877358d2ad7a1af03ffcb3d38461fd5796eb5230ceb6c228e3e02c8e058fa980b102d86d0ba9
Homepage: https://cran.r-project.org/package=egor
Description: CRAN Package 'egor' (Import and Analyse Ego-Centered Network Data)
 Tools for importing, analyzing and visualizing ego-centered network data.
 Supports several data formats, including the export formats of 'EgoNet',
 'EgoWeb 2.0' and 'openeddi'. An interactive (shiny) app for the intuitive
 visualization of ego-centered networks is provided. Also included are
 procedures for creating and visualizing Clustered Graphs (Lerner 2008
 <DOI:10.1109/PACIFICVIS.2008.4475458>).

Package: r-cran-egret
Architecture: all
Version: 3.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dataretrieval, r-cran-survival, r-cran-fields, r-cran-truncnorm, r-cran-foreach, r-cran-mass
Suggests: r-cran-egretci, r-cran-knitr, r-cran-rmarkdown, r-cran-extrafont, r-cran-testthat, r-cran-rkt, r-cran-doparallel, r-cran-pkgdown, r-cran-png, r-cran-dplyr, r-cran-zyp, r-cran-lubridate, r-cran-covr
Filename: pool/dists/focal/main/r-cran-egret_3.0.11-1.ca2004.1_all.deb
Size: 3215792
MD5sum: 91921e56f36c74882a3630d461b9c8b1
SHA1: 97ea5857782c7e0ab357b6c827aa77d4af795b15
SHA256: 67b4dd8fb127b8e2b4efa311c5b82e41d37fb77b438804da530dd7de2285eda1
SHA512: 900abf051609dfb9423b1e7ca5d08ccd957b5229a3849b46692380ff2d2af6eca91c07895244485bc189911cde387e9815155d5eb5e6974eb2dbc46dc272255c
Homepage: https://cran.r-project.org/package=EGRET
Description: CRAN Package 'EGRET' (Exploration and Graphics for RivEr Trends)
 Statistics and graphics for streamflow history, water quality trends, and
 the statistical modeling algorithm: Weighted Regressions on Time, Discharge,
 and Season (WRTDS).

Package: r-cran-egretci
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2728
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-egret, r-cran-binom, r-cran-foreach
Suggests: r-cran-knitr, r-cran-testthat, r-cran-doparallel, r-cran-iterators, r-cran-rmarkdown, r-cran-pkgdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-egretci_2.0.5-1.ca2004.1_all.deb
Size: 2567412
MD5sum: b2e9ddc3cc9dd593669f62444c207a49
SHA1: 9b24c6d1d2904a77df03ccb5917be5d36996f2f4
SHA256: f60ba5bcd19c2528f4eb8c1fcad36f4a7ad2100e2236a0eaca91b6e6ef1dd272
SHA512: 963286cc346b316a18cf01fb41a75d5e743573cee18a8ececa87cfbf0dbc376ee740d45e7554533911a3053374eef07113681c76fe5e09597086b565b2164587
Homepage: https://cran.r-project.org/package=EGRETci
Description: CRAN Package 'EGRETci' (Exploration and Graphics for RivEr Trends Confidence Intervals)
 Collection of functions to evaluate uncertainty of results from water
 quality analysis using the Weighted Regressions on Time Discharge and Season
 (WRTDS) method. This package is an add-on to the EGRET package that performs
 the WRTDS analysis. The WRTDS modeling method was initially introduced and
 discussed in Hirsch et al. (2010) <doi:10.1111/j.1752-1688.2010.00482.x>,
 and expanded in Hirsch and De Cicco (2015) <doi:10.3133/tm4A10>. The paper
 describing the uncertainty and confidence interval calculations is Hirsch et
 al. (2015) <doi:10.1016/j.envsoft.2015.07.017>.

Package: r-cran-egrni
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1382
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fdrtool, r-cran-gdata, r-cran-mass, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-egrni_0.1.6-1.ca2004.1_all.deb
Size: 750776
MD5sum: f9cb138b9a8ef9674fe2afc41a0bc358
SHA1: 28676e3381df755baf529131308f9c521ebc6a21
SHA256: 3a082d57ab0e59a5ee604e7a2eb59b52a788066a7bf47994f870b5fcc221e447
SHA512: 5c6e7014ca2bcc0d4c73dd49ae7b75e82bd0b5e13fe3a3c54e0399495443e9df9ea438efa79822a6347005929e7e7ab18daccff64b0359fbca1fccda2749d384
Homepage: https://cran.r-project.org/package=EGRNi
Description: CRAN Package 'EGRNi' (Ensemble Gene Regulatory Network Inference)
 Gene regulatory network constructed using combined score obtained from
 individual network inference method. The combined score measures the
 significance of edges in the ensemble network. Fisher's weighted method has
 been implemented to combine the outcomes of different methods based on the
 probability values.  The combined score follows chi-square distribution with
 2n degrees of freedom. <doi:10.22271/09746315.2020.v16.i3.1358>.

Package: r-cran-egst
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-mvtnorm, r-cran-mass, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-egst_1.0.0-1.ca2004.1_all.deb
Size: 190532
MD5sum: d1c97fe4d25cdba9470785d9d217095c
SHA1: d7f3f21fe7f4b4a2f006035e4a4120f9d76ef73b
SHA256: 06b424c01f2bffba437481f8638d0dfdd3ff7673f3703c176bc0da26a2cb92b5
SHA512: 6a702921b77f88558cace178caaf04876920eb098d35394d3335ec5841fa473c27c3f4074c6baa18d0097f61ceea59c667549781ea776a30007124bc71ace09e
Homepage: https://cran.r-project.org/package=eGST
Description: CRAN Package 'eGST' (Leveraging eQTLs to Identify Individual-Level Tissue of Interestfor a Complex Trait)
 Genetic predisposition for complex traits is often manifested through
 multiple tissues of interest at different time points in the development. As
 an example, the genetic predisposition for obesity could be manifested
 through inherited variants that control metabolism through regulation of
 genes expressed in the brain and/or through the control of fat storage in
 the adipose tissue by dysregulation of genes expressed in adipose tissue. We
 present a method eGST (eQTL-based genetic subtyper) that integrates
 tissue-specific eQTLs with GWAS data for a complex trait to
 probabilistically assign a tissue of interest to the phenotype of each
 individual in the study. eGST estimates the posterior probability that an
 individual's phenotype can be assigned to a tissue based on individual-level
 genotype data of tissue-specific eQTLs and marginal phenotype data in a
 genome-wide association study (GWAS) cohort. Under a Bayesian framework of
 mixture model, eGST employs a maximum a posteriori (MAP)
 expectation-maximization (EM) algorithm to estimate the tissue-specific
 posterior probability across individuals. Methodology is available from: A
 Majumdar, C Giambartolomei, N Cai, MK Freund, T Haldar, T Schwarz, J Flint,
 B Pasaniuc (2019) <doi:10.1101/674226>.

Package: r-cran-ehagof
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ehagof_0.1.1-1.ca2004.1_all.deb
Size: 66392
MD5sum: 93769e64be721fca2694cebf0946c972
SHA1: 4fef1ec9415cfd4f0c530d2a40ab7ac3fc914ef2
SHA256: 17f8a9ec4201d19ab3287c9a76df290e039d612dba3372e97ae729758c8faa84
SHA512: 31ef41e722b1ce76fa57ca76b21ca0b15c800403791b3f2036f0b31c5faa1e474501c1b021dcd9c03e1e915bf8bf8e0dffe82e3f2c40c9c54022894224e3c771
Homepage: https://cran.r-project.org/package=ehaGoF
Description: CRAN Package 'ehaGoF' (Calculates Goodness of Fit Statistics)
 Calculates 15 different goodness of fit criteria. These are; standard
 deviation ratio (SDR), coefficient of variation (CV), relative root mean
 square error (RRMSE), Pearson's correlation coefficients (PC), root mean
 square error (RMSE), performance index (PI), mean error (ME), global
 relative approximation error (RAE), mean relative approximation error
 (MRAE), mean absolute percentage error (MAPE), mean absolute deviation
 (MAD), coefficient of determination (R-squared), adjusted coefficient of
 determination (adjusted R-squared), Akaike's information criterion (AIC),
 corrected Akaike's information criterion (CAIC), Mean Square Error (MSE),
 Bayesian Information Criterion (BIC) and Normalized Mean Square Error
 (NMSE).

Package: r-cran-ehdprep
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 962
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-forcats, r-cran-stringr, r-cran-purrr, r-cran-tidyr, r-cran-kableextra, r-cran-magrittr, r-cran-tibble, r-cran-scales, r-cran-rlang, r-cran-quanteda, r-cran-tm, r-cran-pheatmap, r-cran-igraph, r-cran-tidygraph, r-cran-readr, r-cran-readxl, r-cran-knitr
Suggests: r-cran-testthat, r-cran-ggraph
Filename: pool/dists/focal/main/r-cran-ehdprep_1.3.3-1.ca2004.1_all.deb
Size: 775800
MD5sum: 0fcc073ec2b81f71a0c44fa0d3c189b0
SHA1: 06b8bedb68170dd0c5c7f9d9654a9abfa1d686a0
SHA256: 2f81d0209b933f9e38fbabc0c23251f8781e34da4ac47ecb020d39f883afcb7f
SHA512: 2bc2194b34a90e95f6dec9c1850aad4a57f9a3e42be0af683f981a342c19134275f7d8c5821a0d122204eec52c57ac4ca0791e3aba088fc51fff7592ca0e7184
Homepage: https://cran.r-project.org/package=eHDPrep
Description: CRAN Package 'eHDPrep' (Quality Control and Semantic Enrichment of Datasets)
 A tool for the preparation and enrichment of health datasets for analysis
 (Toner et al. (2023) <doi:10.1093/gigascience/giad030>). Provides
 functionality for assessing data quality and for improving the reliability
 and machine interpretability of a dataset.  'eHDPrep' also enables semantic
 enrichment of a dataset where metavariables are discovered from the
 relationships between input variables determined from user-provided
 ontologies.

Package: r-cran-ehelp
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-ehelp_1.2.1-1.ca2004.1_all.deb
Size: 86776
MD5sum: 85532cbfbba722b77ea03b1232cdb7d0
SHA1: 4781db880b9fdcb4adef7e2fe40634e110af05b9
SHA256: a404c68477353fbf23c6c39419a1def33d66eb66d128d18877a22992b79e81ae
SHA512: 99f850c5f56b344f2655c108e433b28a84538c941bd759da1c00a35aab589f0d96e67977343b8dffa69ca4e441369ac17e0cab2049624855fab7c533344f6bdb
Homepage: https://cran.r-project.org/package=ehelp
Description: CRAN Package 'ehelp' (Enhanced Help to Enable "Docstring"-Comments in Users Functions)
 By overloading the R help() function, this package allows users to use
 "docstring" style comments within their own defined functions. The package
 also provides additional functions to mimic the R basic example() function
 and the prototyping of packages.

Package: r-cran-ehof
Architecture: all
Version: 1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2074
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-lattice
Suggests: r-cran-vegdata, r-cran-vegan, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ehof_1.16-1.ca2004.1_all.deb
Size: 1444104
MD5sum: c70b0b0c94d60a885468e3676ad6a8d6
SHA1: c0cac1a0a0454f7ace45130624d029fc4e20901c
SHA256: 92ca3b91abefb773ecc751b25908eba65b788cc8416ab8a92a3dff3fd2cbc0e4
SHA512: d14ccb4bee9a736669135c74007892db1603e010ccefc43fb6d92033266ac25c8e2be7579ff81cfa73307080130d6e53d501ccd245889d337c4fe2433e0cae69
Homepage: https://cran.r-project.org/package=eHOF
Description: CRAN Package 'eHOF' (Extended HOF (Huisman-Olff-Fresco) Models)
 Extended and enhanced hierarchical logistic regression models (called
 Huisman-Olff-Fresco in biology, see Huisman et al. 1993 Journal of
 Vegetation Science <doi:10.1111/jvs.12050>) models. Response curves along
 one-dimensional gradients including no response, monotone, plateau, unimodal
 and bimodal models.

Package: r-cran-ehr
Architecture: all
Version: 0.4-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2714
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-pkdata
Suggests: r-cran-glmnet, r-cran-logistf, r-cran-medextractr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ehr_0.4-11-1.ca2004.1_all.deb
Size: 1734552
MD5sum: 3935706f37b1ed0a82bb10eb734934ca
SHA1: 06d4bc64592866300617235217e0604b4842b358
SHA256: 67f39e0e76acdb010f049a03ce092a9a5cd8a003d5faf601ca15a3afbdc37d3e
SHA512: 0b6c18d4610816f5f720acbec322fd4a4aa755da3c2e21aff435fc050a45c5a56162796983f80b5607631fcaa4517ed045bb5f7c9f073bf17e16c3eaea673f5a
Homepage: https://cran.r-project.org/package=EHR
Description: CRAN Package 'EHR' (Electronic Health Record (EHR) Data Processing and Analysis Tool)
 Process and analyze electronic health record (EHR) data. The 'EHR' package
 provides modules to perform diverse medication-related studies using data
 from EHR databases. Especially, the package includes modules to perform
 pharmacokinetic/pharmacodynamic (PK/PD) analyses using EHRs, as outlined in
 Choi, Beck, McNeer, Weeks, Williams, James, Niu, Abou-Khalil, Birdwell,
 Roden, Stein, Bejan, Denny, and Van Driest (2020) <doi:10.1002/cpt.1787>.
 Additional modules will be added in future. In addition, this package
 provides various functions useful to perform Phenome Wide Association Study
 (PheWAS) to explore associations between drug exposure and phenotypes
 obtained from EHR data, as outlined in Choi, Carroll, Beck, Mosley, Roden,
 Denny, and Van Driest (2018) <doi:10.1093/bioinformatics/bty306>.

Package: r-cran-ehrmuse
Architecture: all
Version: 0.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mass, r-cran-nleqslv, r-cran-xgboost, r-cran-survey, r-cran-nnet, r-cran-simplexreg
Filename: pool/dists/focal/main/r-cran-ehrmuse_0.0.2.1-1.ca2004.1_all.deb
Size: 79564
MD5sum: 226f5825105d45efc7058f1cb3feb140
SHA1: 8737acb9d746b4216f46d805b67a5382b72cde02
SHA256: 4f72f7c58708979e649459ad262db16de949a1354638029cb9cd74278e2f2f60
SHA512: 2bc42eef6f4438d09ff753c4eaccd24ee289c9a5df2732c87c88d93d2de1ca89ce2df01019396e61e8e951c6eda346b9444b8456404ca9f3f575bf8ecab699b3
Homepage: https://cran.r-project.org/package=EHRmuse
Description: CRAN Package 'EHRmuse' (Multi-Cohort Selection Bias Correction using IPW and AIPWMethods)
 Comprehensive toolkit for addressing selection bias in binary disease models
 across diverse non-probability samples, each with unique selection
 mechanisms. It utilizes Inverse Probability Weighting (IPW) and Augmented
 Inverse Probability Weighting (AIPW) methods to reduce selection bias
 effectively in multiple non-probability cohorts by integrating data from
 either individual-level or summary-level external sources. The package also
 provides a variety of variance estimation techniques. Please refer to Kundu
 et al. <doi:10.48550/arXiv.2412.00228>.

Package: r-cran-ehrtemporalvariability
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10629
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-plotly, r-cran-zoo, r-cran-xts, r-cran-lubridate, r-cran-rcolorbrewer, r-cran-viridis, r-cran-scales, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-bioc-biocstyle, r-cran-dbscan, r-cran-webshot, r-cran-httr
Filename: pool/dists/focal/main/r-cran-ehrtemporalvariability_1.2.1-1.ca2004.1_all.deb
Size: 2834016
MD5sum: 2b0d9255f908235cd2a509c8561a0f87
SHA1: f10c619deb0c17429d4d29f276f5e4b377b50450
SHA256: 49c62f62b8c3a01e8f07d2268c88c83a1acddfa03cb817aeddda9d9a83cf56ee
SHA512: 7305d1af30dae3cce40f8c5215f3a99d49a54ada25684c6f13f5e6b37d8bd68aa294778c150c693239ca539d78e3cf6ca08021b691731b421ed925212dff2aad
Homepage: https://cran.r-project.org/package=EHRtemporalVariability
Description: CRAN Package 'EHRtemporalVariability' (Delineating Temporal Dataset Shifts in Electronic Health Records)
 Functions to delineate temporal dataset shifts in Electronic Health Records
 through the projection and visualization of dissimilarities among data
 temporal batches. This is done through the estimation of data statistical
 distributions over time and their projection in non-parametric statistical
 manifolds, uncovering the patterns of the data latent temporal variability.
 'EHRtemporalVariability' is particularly suitable for multi-modal data and
 categorical variables with a high number of values, common features of
 biomedical data where traditional statistical process control or time-series
 methods may not be appropriate. 'EHRtemporalVariability' allows you to
 explore and identify dataset shifts through visual analytics formats such as
 Data Temporal heatmaps and Information Geometric Temporal (IGT) plots.  An
 additional 'EHRtemporalVariability' Shiny app can be used to load and
 explore the package results and even to allow the use of these functions to
 those users non-experienced in R coding. (Sáez et al. 2020)
 <doi:10.1093/gigascience/giaa079>.

Package: r-cran-ehymet
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clustercrit, r-cran-kernlab, r-cran-tf
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ehymet_0.1.1-1.ca2004.1_all.deb
Size: 195360
MD5sum: db6f291e61635b66beb1322970ac71ae
SHA1: 6526af460871581bc76c8b0287e1e96a32df95fd
SHA256: d0a2b3132b0ed525a82f1abde65a26e55522b5c28fd1705d935eb66dd1f063f8
SHA512: c9bbf59f58f34e035a891374cee6f590978b178feaf8de5c20e5623765132f7c7c6ba208891a318ed71119d30ab45c9f700f8ae69408827b97d7db6e8eef7559
Homepage: https://cran.r-project.org/package=ehymet
Description: CRAN Package 'ehymet' (Methodologies for Functional Data Based on the Epigraph andHypograph Indices)
 Implements methods for functional data analysis based on the epigraph and
 hypograph indices. These methods transform functional datasets, whether in
 one or multiple dimensions, into multivariate datasets. The transformation
 involves applying the epigraph, hypograph, and their modified versions to
 both the original curves and their first and second derivatives. The
 calculation of these indices is tailored to the dimensionality of the
 functional dataset, with special considerations for dependencies between
 dimensions in multidimensional cases. This approach extends traditional
 multivariate data analysis techniques to the functional data setting. A key
 application of this package is the EHyClus method, which enhances clustering
 analysis for functional data across one or multiple dimensions using the
 epigraph and hypograph indices. See Pulido et al. (2023)
 <doi:10.1007/s11222-023-10213-7> and Pulido et al. (2024)
 <doi:10.48550/arXiv.2307.16720>.

Package: r-cran-ei.datasets
Architecture: all
Version: 0.0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4013
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ei.datasets_0.0.1-3-1.ca2004.1_all.deb
Size: 4060400
MD5sum: 94999044713b4058ed8c6852b01a1116
SHA1: 73639330d0b39c455ca86593fe20729fa5794251
SHA256: e91835d09c9ecff0abda8be3217d29abdec140ed93ee7f2bb6450c23cae8756d
SHA512: 1f6ed50acd2b653794989b33c6a767bf0ee37dd2cba2ab026f04806fec9d8eb65bbda94bfd2be4940757c8ce95d82f3754902c7d15a4b2cfa9437cdb73ae682a
Homepage: https://cran.r-project.org/package=ei.Datasets
Description: CRAN Package 'ei.Datasets' (Real Datasets for Assessing Ecological Inference Algorithms)
 Provides more than 550 data sets of actual election results.  Each of the
 data sets includes aggregate party and candidate outcomes at the voting unit
 (polling stations) level and two-way cross-tabulated results at the district
 level.  These data sets can be used to assess ecological inference
 algorithms devised for estimating RxC (global) ecological contingency tables
 using exclusively aggregate results from voting units.  Reference: Pavía
 (2022) <doi:10.1177/08944393211040808>.

Package: r-cran-ei
Architecture: all
Version: 1.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 672
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-eipack, r-cran-mvtnorm, r-cran-msm, r-cran-tmvtnorm, r-cran-ellipse, r-cran-plotrix, r-cran-mass, r-cran-ucminf, r-cran-cubature, r-cran-mnormt, r-cran-foreach, r-cran-sp
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-ei_1.3-3-1.ca2004.1_all.deb
Size: 586528
MD5sum: 27fb32867c33a6c7165b503deb5c8b0f
SHA1: b632ccf77d3d4dee7b2d704c4d853236c6ed169e
SHA256: e03fc2b48b9573aef9e17b7a01b6f737175091e2ab49e7b4409d85173f8165da
SHA512: cae10a33e28737d01adc1a5e71dc4e7989bf5e9fdf8249431b0612bbb590d5fb06b02ed7fb527208d8841b9fd9967c831a99a2749f7d47b834502dfcf031ac69
Homepage: https://cran.r-project.org/package=ei
Description: CRAN Package 'ei' (Ecological Inference)
 Software accompanying Gary King's book: A Solution to the Ecological
 Inference Problem. (1997). Princeton University Press. ISBN 978-0691012407.

Package: r-cran-eia
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-eia_0.4.2-1.ca2004.1_all.deb
Size: 295244
MD5sum: 7d23792c88bc49c6b736bdef3014e417
SHA1: 23e93efe7746b22b06799b5be7430c7d3ea605c5
SHA256: 32ec78beccaaec20a782560817ad2075582c2eedca9ed3eef6ad5ebb550c67e6
SHA512: ca5e37aff358f16b44d92a353a7257ba56c5cebcd656e646055cd06a0ee1dbf59d6c50cecf4d9231a0a74f63c2c7786260c5ca6a50e187aed2edb9c61ab32fce
Homepage: https://cran.r-project.org/package=eia
Description: CRAN Package 'eia' (API Wrapper for U.S. Energy Information Administration ('EIA')Open Data)
 Provides API access to data from the U.S. Energy Information Administration
 ('EIA') <https://www.eia.gov/>.  Use of the EIA's API and this package
 requires a free API key obtainable at
 <https://www.eia.gov/opendata/register.php>.  This package includes
 functions for searching the EIA data directory and returning time series and
 geoset time series datasets.  Datasets returned by these functions are
 provided by default in a tidy format, or alternatively, in more raw formats.
 It also offers helper functions for working with EIA date strings and time
 formats and for inspecting different summaries of series metadata.  The
 package also provides control over API key storage and caching of API
 request results.

Package: r-cran-eiaapi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-jsonlite, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-plotly, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eiaapi_0.2.0-1.ca2004.1_all.deb
Size: 476152
MD5sum: 5657e3464939389fdda8f1c5d9ad457f
SHA1: d12a613648e2c0c093a211fae2f601570245f075
SHA256: 795eb617c182f9ad00cfcf017355fce430749903ef56e83cdd7973f01ad7835c
SHA512: 426ce311059f31662eba7bce55a653a39103b6971b8fe132a05f12f89a30bf857e22ea452a9b2c2d08d37ec2733663236828abe8eff51ec9b353ebe29c252910
Homepage: https://cran.r-project.org/package=EIAapi
Description: CRAN Package 'EIAapi' (Query Data from the 'EIA' API)
 Provides a function to query and extract data from the 'US Energy
 Information Administration' ('EIA') API V2 <https://www.eia.gov/opendata/>.
 The 'EIA' API provides a variety of information, in a time series format,
 about the energy sector in the US. The API is open, free, and requires an
 access key and registration at <https://www.eia.gov/opendata/>.

Package: r-cran-eiadata
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-xts, r-cran-zoo, r-cran-httr
Filename: pool/dists/focal/main/r-cran-eiadata_0.1.3-1.ca2004.1_all.deb
Size: 30304
MD5sum: 08203ba3ae9c4dec16350a8c8438325d
SHA1: 75bba9ee898b14fa99690d373b8f2e1040aaedbe
SHA256: 8cd317c194f13cfaa8d75ca8f0fcc6ddc6e6f8acc796f7c863255d1fefdb33ec
SHA512: 58f4f8f1035655281b452050320aae6e04a090224c1db353abb84e5e8ec3db60451980ef695e67f9798f8a25f60f329b3a1d884c94a027b29cf1737ae0ea362f
Homepage: https://cran.r-project.org/package=EIAdata
Description: CRAN Package 'EIAdata' (R Wrapper for the Energy Information Administration (EIA) API)
 An R wrapper to allow the user to query categories and Series IDs, and
 import data, from the EIA's API <https://www.eia.gov/opendata/>.

Package: r-cran-eicircles
Architecture: all
Version: 0.0.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlcoptim
Suggests: r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-eicircles_0.0.1-12-1.ca2004.1_all.deb
Size: 202452
MD5sum: 0a384d4847df49a2094225449426c7d5
SHA1: 2f6386f99e9651aac861e074854494abfc912f6a
SHA256: c473a1cfc6cda82704f95ad9ebcf07db040df8d72f45a58d36d686bcbf03d23d
SHA512: f63023c10f06ec063971a4066dcf55570abbe03990d0d100fdc85ebc7f36f86a5d3aaca4b9dac2f499612350372cc2a8981a5f51906088c0815f111fdf04d454
Homepage: https://cran.r-project.org/package=eiCircles
Description: CRAN Package 'eiCircles' (Ecological Inference of RxC Tables by Overdispersed-MultinomialModels)
 Estimates RxC (R by C) vote transfer matrices (ecological contingency
 tables) from aggregate data using the model described in Forcina et al.
 (2012), as extension of the model proposed in Brown and Payne (1986). Allows
 incorporation of covariates.  References: Brown, P. and Payne, C. (1986).
 ''Aggregate data, ecological regression and voting transitions''. Journal of
 the American Statistical Association, 81, 453–460.
 <DOI:10.1080/01621459.1986.10478290>.  Forcina, A., Gnaldi, M. and
 Bracalente, B. (2012). ''A revised Brown and Payne model of voting behaviour
 applied to the 2009 elections in Italy''. Statistical Methods &
 Applications, 21, 109–119. <DOI:10.1007/s10260-011-0184-x>.

Package: r-cran-eicompare
Architecture: all
Version: 3.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3501
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-eipack, r-cran-ei, r-cran-wru, r-cran-bayestestr, r-cran-coda, r-cran-data.table, r-cran-dosnow, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-mcmcse, r-cran-overlapping, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-plyr, r-cran-rmarkdown, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-rjsonio, r-cran-testthat, r-cran-tigris
Filename: pool/dists/focal/main/r-cran-eicompare_3.0.4-1.ca2004.1_all.deb
Size: 1706864
MD5sum: db59b06b7823a60e0504c7837c450ec5
SHA1: 3584af73ae8209c974ec83dc7520e4fd4eec0d4b
SHA256: 946ed12f6d133180d1be46121f2c6c248a79e9f0a9409a11d1995e746e5fb425
SHA512: 1052689df95db15fb110c8321829b70834b24e405b19b0fe43990b130c7b5f7b21a8e54b0c3fd4902c89ec7cd00d3423f0e6c346de659d7817396725777b7ee0
Homepage: https://cran.r-project.org/package=eiCompare
Description: CRAN Package 'eiCompare' (Compares Different Ecological Inference Methods)
 Provides a comprehensive suite of tools for estimating the candidate
 preferences of racial/ethnic voting blocs in elections. Includes functions
 for predicting voter race/ethnicity and conducting ecological inference.
 Race/ethnicity prediction builds on race prediction developed by Imai et al.
 (2016) <doi:10.1093/pan/mpw001>. Ecological inference methods are based on
 King (1997) <ISBN: 0691012407>,
 <https://gking.harvard.edu/eicamera/kinroot.html>; King et. al. (2004)
 <ISBN: 0521542804>, <https://gking.harvard.edu/files/abs/ecinf04-abs.shtml>.

Package: r-cran-eider
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 657
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-magrittr, r-cran-jsonlite, r-cran-logger, r-cran-purrr, r-cran-fs, r-cran-tibble, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-eider_1.0.0-1.ca2004.1_all.deb
Size: 244104
MD5sum: c91d4920294fd7c1b0163dce27d0127e
SHA1: eb9d577af29bbca59f3661f90c40c29cd4f4a7ea
SHA256: 4e1d3e74621340d247c509525ff73edc8ff23e32abf54479c92310874675d71a
SHA512: 77dfc85c9a9edd7496750eb43fff77c18f22319ac3979ab1804c66f3e7b7668d273441bbc997c1c671983fb0bb0042b7e3265797670038278879b098da2d6715
Homepage: https://cran.r-project.org/package=eider
Description: CRAN Package 'eider' (Declarative Feature Extraction from Tabular Data Records)
 Extract features from tabular data in a declarative fashion, with a focus on
 processing medical records. Features are specified as JSON and are
 independently processed before being joined. Input data can be provided as
 CSV files or as data frames. This setup ensures that data is transformed in
 a modular and reproducible manner, and allows the same pipeline to be easily
 applied to new data.

Package: r-cran-eientropy
Architecture: all
Version: 0.0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-here
Filename: pool/dists/focal/main/r-cran-eientropy_0.0.1.4-1.ca2004.1_all.deb
Size: 99088
MD5sum: ed9a08fef9b7d4d6ec3f3c2c2c0d2c61
SHA1: 3aaac197dc6b599587f2464062fdd7433ecc453b
SHA256: 643a6b20ec38eb2a931e808e0b7b22e51e9937a20a609e43183c7e53d550c5c4
SHA512: e65518f4e0f864daeb292dd755af8fbfab7e268acb6007a41da045c18bce510fdb9b6479f002f2cc897494ad8052575d1ee77bec993bfb094f1c9b3578711a58
Homepage: https://cran.r-project.org/package=EIEntropy
Description: CRAN Package 'EIEntropy' (Ecological Inference Applying Entropy)
 Implements two estimations related to the foundations of info metrics
 applied to ecological inference. These methodologies assess the lack of
 disaggregated data and provide an approach to obtaining disaggregated
 territorial-level data. For more details, see the following references:
 Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020)
 "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach."
 <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E.,
 Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local
 level in Europe: A consistent spatial disaggregation of the AROPE indicator
 for France, Spain, Portugal and the United Kingdom."
 <doi:10.1111/rsp3.12379>.

Package: r-cran-eiexpand
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3747
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr, r-cran-ggplot2, r-cran-ggmap, r-cran-viridis, r-cran-sf, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eiexpand_1.0.5-1.ca2004.1_all.deb
Size: 3801488
MD5sum: 3b74eba703583e1a5b41b43a8b41a215
SHA1: ce4961fcc4a71c08ad45034a23c6e5af4562ea51
SHA256: aa0180016378c3c97003a77fefb56843257c1c2ff74eecafd0ed5253d9ab733e
SHA512: ba9d475c8727d8cb4e336f33818ec1ad33a6ddfa78361ba5e2a9350e2704970b6b2d03fe34c302699355cb86f5dc530900b5d4a719735b92916a1094307e2a43
Homepage: https://cran.r-project.org/package=eiExpand
Description: CRAN Package 'eiExpand' (Utilities for Expanding Functionality of 'eiCompare')
 Augments the 'eiCompare' package's Racially Polarized Voting (RPV)
 functionality to streamline analyses and visualizations used to support
 voting rights and redistricting litigation. The package implements methods
 described in Barreto, M., Collingwood, L., Garcia-Rios, S., & Oskooii, K. A.
 (2022).  "Estimating Candidate Support in Voting Rights Act Cases: Comparing
 Iterative EI and EI-R×C Methods" <doi:10.1177/0049124119852394>.

Package: r-cran-eigeninv
Architecture: all
Version: 2011.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eigeninv_2011.8-1-1.ca2004.1_all.deb
Size: 17872
MD5sum: f416e601e3af074f7876ffb32952a78d
SHA1: 9464a3c9d44a9cae400ce497c42156dc07ac0311
SHA256: 770ae36ec255afc97851e283ad8a5d11c57d4957952991416ca3cc6b7b375253
SHA512: 0ec6c0204dbf9b03343cf9c5569f5ee210cc155af2d8e1f1aa7ed604c0e1b27390264b01e45c09d653fef5be49c3c59b22ad46998697d8ce4aa3958dd6d0dbaa
Homepage: https://cran.r-project.org/package=eigeninv
Description: CRAN Package 'eigeninv' (Generates (dense) matrices that have a given set of eigenvalues)
 Solves the ``inverse eigenvalue problem'' which is to generate a real-valued
 matrix that has the specified real eigenvalue spectrum.  It can generate
 infinitely many dense matrices, symmetric or asymmetric, with the given set
 of eigenvalues.  Algorithm can also generate stochastic and doubly
 stochastic matrices.

Package: r-cran-eigenmodel
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eigenmodel_1.11-1.ca2004.1_all.deb
Size: 70976
MD5sum: 859992fe5e633b13a2a4e5875aba97ff
SHA1: 44ad75a5a4ff192af5ebb5c4ad17c18e7fa9566a
SHA256: 13c595754139b9e797609b9b5f82a88f6655f00f8d2c0168fdf028b5837e3be2
SHA512: 99cdd32389d1b6bb84340b553b9a955a3c42dd99e6a5c9826ef1c6509e864b0a801f0f93318727048cd8ded4d1f8c81953a956165ed07c75df0151db7b94dbaf
Homepage: https://cran.r-project.org/package=eigenmodel
Description: CRAN Package 'eigenmodel' (Semiparametric Factor and Regression Models for SymmetricRelational Data)
 Estimation of the parameters in a model for symmetric relational data (e.g.,
 the above-diagonal part of a square matrix), using a model-based eigenvalue
 decomposition and regression. Missing data is accommodated, and a posterior
 mean for missing data is calculated under the assumption that the data are
 missing at random. The marginal distribution of the relational data can be
 arbitrary, and is fit with an ordered probit specification. See Hoff (2007)
 <arXiv:0711.1146> for details on the model.

Package: r-cran-eigenprcomp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eigenprcomp_1.0-1.ca2004.1_all.deb
Size: 14932
MD5sum: de9fb9d7f2032a2b37e3374c502498fb
SHA1: 450cc4929a10ca707555a9d2277132120b20a2b3
SHA256: 1d37a0b97b79d9927e1a773f1ea6e7ca3a5f6f06f313978bbf6733f24e91aa9a
SHA512: a9f3b43e90dca41d243fb1b783aa934271811448193dbc32c7982d95b5406ea7342f40bceb6ee9924052cbc031f2bd37e83b49113b3846976332a04f4646bc08
Homepage: https://cran.r-project.org/package=eigenprcomp
Description: CRAN Package 'eigenprcomp' (Computes confidence intervals for principal components)
 Computes confidence intervals for the proportion explained by the first
 1,2,k principal components, and computes confidence intervals for each
 eigenvalue. Both computations are done via nonparametric bootstrap.

Package: r-cran-eikosograms
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4491
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-eikosograms_0.1.1-1.ca2004.1_all.deb
Size: 1009260
MD5sum: df1fe0577e211e553d2dc2130194efef
SHA1: 2c1dd9a1bada65fa9b59db032b31a0df64fbd15f
SHA256: 3d35e565db6cfd7b87c6a09757df906db0617bfcc0cb570c325024d9908419b1
SHA512: e1e7556a3dab3fe26fa04b0f46a9ac4ea5c4f2cd9ccfc86d17e6a674c984feb4c1e85411c0a2e01548e46349c0f26357ee0536736f33e1b01633d50c0cbc93fc
Homepage: https://cran.r-project.org/package=eikosograms
Description: CRAN Package 'eikosograms' (The Picture of Probability)
 An eikosogram (ancient Greek for probability picture) divides the unit
 square into rectangular regions whose areas, sides, and widths, represent
 various probabilities associated with the values of one or more categorical
 variates.  Rectangle areas are joint probabilities, widths are always
 marginal (though possibly joint margins, i.e. marginal joint distributions
 of two or more variates), and heights of rectangles are always conditional
 probabilities.  Eikosograms embed the rules of probability and are useful
 for introducing elementary probability theory, including axioms, marginal,
 conditional, and joint probabilities, and their relationships (including
 Bayes theorem as a completely trivial consequence).  They are markedly
 superior to Venn diagrams for this purpose, especially in distinguishing
 probabilistic independence, mutually exclusive events, coincident events,
 and associations.  They also are useful for identifying and understanding
 conditional independence structure.  As data analysis tools, eikosograms
 display categorical data in a manner similar to Mosaic plots, especially
 when only two variates are involved (the only case in which they are
 essentially identical, though eikosograms purposely disallow spacing between
 rectangles).  Unlike Mosaic plots, eikosograms do not alternate axes as each
 new categorical variate (beyond two) is introduced.  Instead, only one
 categorical variate, designated the "response", presents on the vertical
 axis and all others, designated the "conditioning" variates, appear on the
 horizontal.  In this way, conditional probability appears only as height and
 marginal probabilities as widths.  The eikosogram is therefore much better
 suited to a response model analysis (e.g. logistic model) than is a Mosaic
 plot.  Mosaic plots are better suited to log-linear style modelling as in
 discrete multivariate analysis.  Of course, eikosograms are also suited to
 discrete multivariate analysis with each variate in turn appearing as the
 response.  This makes it better suited than Mosaic plots to discrete
 graphical models based on conditional independence graphs (i.e. "Bayesian
 Networks" or "BayesNets").  The eikosogram and its superiority to Venn
 diagrams in teaching probability is described in W.H. Cherry and R.W.
 Oldford (2003)
 <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/paper.pdf>, its
 value in exploring conditional independence structure and relation to
 graphical and log-linear models is described in R.W. Oldford (2003)
 <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/independence/paper.pdf>,
 and a number of problems, puzzles, and paradoxes that are easily explained
 with eikosograms are given in R.W. Oldford (2003)
 <https://math.uwaterloo.ca/~rwoldfor/papers/eikosograms/examples/paper.pdf>.

Package: r-cran-eila
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 576
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-class, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-eila_0.1-2-1.ca2004.1_all.deb
Size: 556076
MD5sum: 05efa8ec9b09234e25236f18c7a24b59
SHA1: 966fbb93b1d24981db7f65bd391c0b33b29a49b6
SHA256: 850ad2af58810c9113f0e4ff1676150133fdd850954cf46381f62aa9b1a31ddc
SHA512: e531ed0df53cfbf5e078cfb9478a63d476df26ead679a7c8ea10e5f4cb3dab031468519e20d4e9fc3187cf75e89748dab3a1df5111399a015211971f3f775f46
Homepage: https://cran.r-project.org/package=EILA
Description: CRAN Package 'EILA' (Efficient Inference of Local Ancestry)
 Implementation of Efficient Inference of Local Ancestry using fused quantile
 regression and k-means classifier

Package: r-cran-einet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-igraph, r-cran-magrittr, r-cran-shiny, r-cran-entropy
Suggests: r-cran-testthat, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-bench
Filename: pool/dists/focal/main/r-cran-einet_0.1.0-1.ca2004.1_all.deb
Size: 60636
MD5sum: 06f77a9b9a326b40415b24abf20cd627
SHA1: 77f70e550c582e8021c8ae687c687b0a1b52c8fc
SHA256: 1b98b56e894bd11d4cb0f7d22e68fc4378bd79fbaa4cea7cdbdf020291261c31
SHA512: aefac2ce9858841ea7b35a790c450b210720fb30546893ed9f997a7b15b65fc9949fc185cdda32f8a7e602a5247331777939409ec3533bbe6315ca67a363c028
Homepage: https://cran.r-project.org/package=einet
Description: CRAN Package 'einet' (Effective Information and Causal Emergence)
 Methods and utilities for causal emergence.  Used to explore and compute
 various information theory metrics for networks, such as effective
 information, effectiveness and causal emergence.

Package: r-cran-eiopar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-curl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eiopar_0.1.1-1.ca2004.1_all.deb
Size: 42040
MD5sum: 147158d4a861465b7e38e7b06cfc0b0d
SHA1: a6c1782832290efecd6c5f15a5c0655bc59226d9
SHA256: d7314d213b6c55be023dad76d9aeaadf24c5f5a79b0bdd8f17222a37c078a209
SHA512: 55b6f307fcd08f11ed757eac3918cb420c6e0416c24c7ebf515cf53583aeeec44db74997b80d13f16ed36fd55376626c1f7373658601214c7113614f264a04cf
Homepage: https://cran.r-project.org/package=eiopaR
Description: CRAN Package 'eiopaR' (Access to RFR (Risk-Free Rate) Curves Produced by the EIOPA)
 Provides EIOPA (European Insurance And Occupational Pensions Authority)
 risk-free rates. Please note that the author of this package is not
 affiliated with EIOPA. The data is accessed through a REST API available at
 <https://mehdiechchelh.com/api/>.

Package: r-cran-eiopt2
Architecture: all
Version: 0.1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-alabama, r-cran-quadprog
Suggests: r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-eiopt2_0.1.1-6-1.ca2004.1_all.deb
Size: 69292
MD5sum: f894b215304e0dfe7d609356bf84158f
SHA1: 808e517b8a5e142172626d7388dbb2e843321e09
SHA256: 884c18480e1682d34aeddc1215dc57e30548e860bd6f5e583c44663c78fa548d
SHA512: 98134469640cda747bbf4f7c29016a0562d274d8d8ebdb64c42bc1549d445f7289979645782fa647f4bb6bd3b2040072b604c4db6800d98c054575b4001a6b36
Homepage: https://cran.r-project.org/package=eiopt2
Description: CRAN Package 'eiopt2' (Ecological Inference for RxC Tables via Nonlinear QuadraticOptimization)
 Estimates RxC (R by C) vote transfer matrices (ecological contingency
 tables) from aggregate data by simultaneously minimizing Euclidean
 row-standardized unit-to-global distances.  Acknowledgements: The authors
 wish to thank Generalitat Valenciana, Consellería de Educación, Cultura,
 Universidades y Empleo (grant CIAICO/2023/031) for supporting this research.

Package: r-cran-eirm
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-blme, r-cran-reshape2, r-cran-optimx, r-cran-magrittr, r-cran-shiny, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-readxl, r-cran-ggeffects, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eirm_0.5-1.ca2004.1_all.deb
Size: 67420
MD5sum: 4190e8c31a0e6b71c9ee8aee6b697b99
SHA1: dbfe911058aa00ba56e68a33e86222445ed066ca
SHA256: 79cb07f97e2a1578fece9f75c92f48435f3f314cd410a947d28620a22af32062
SHA512: b4d4ab386b0921474dbb64ac5e58c3f5829d66647c5e4e418ee8c62fe535ce95fdd6fe9e3d3cce0da5f9b7c4072f204aa8d9446a812f0f23d38e6159f34afb52
Homepage: https://cran.r-project.org/package=eirm
Description: CRAN Package 'eirm' (Explanatory Item Response Modeling for Dichotomous andPolytomous Items)
 Analysis of dichotomous and polytomous response data using the explanatory
 item response modeling framework, as described in Bulut, Gorgun, &
 Yildirim-Erbasli (2021) <doi:10.3390/psych3030023>, Stanke & Bulut (2019)
 <doi:10.21449/ijate.515085>, and De Boeck & Wilson (2004)
 <doi:10.1007/978-1-4757-3990-9>. Generalized linear mixed modeling is used
 for estimating the effects of item-related and person-related variables on
 dichotomous and polytomous item responses.

Package: r-cran-eivtools
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2jags
Filename: pool/dists/focal/main/r-cran-eivtools_0.1-8-1.ca2004.1_all.deb
Size: 197228
MD5sum: 239b31a70b08b0ba1ff0563966782d65
SHA1: 9528049dbfdf35c3f5df91ee3313bed1d47323be
SHA256: 51948e7d2d383daf941ea5b1a7723f3e90865585f6cc9750d89fde189e5b125f
SHA512: 743265a8af99c821d5fc9e01e3a58732716da27cd0eb0b29bcf3baa285e8db6fb72b3f9c4f53f3e7bbbae79437d94702a03d35c2a84933e385597466590ffee4
Homepage: https://cran.r-project.org/package=eivtools
Description: CRAN Package 'eivtools' (Measurement Error Modeling Tools)
 This includes functions for analysis with error-prone covariates, including
 deconvolution, latent regression and errors-in-variables regression.  It
 implements methods by Rabe-Hesketh et al. (2003)
 <doi:10.1191/1471082x03st056oa>, Lockwood and McCaffrey (2014)
 <doi:10.3102/1076998613509405>, and Lockwood and McCaffrey (2017)
 <doi:10.1007/s11336-017-9556-y>, among others.

Package: r-cran-eix
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-data.table, r-cran-purrr, r-cran-xgboost, r-cran-dalex, r-cran-ggrepel, r-cran-ggiraphextra, r-cran-ibreakdown, r-cran-tidyr, r-cran-scales
Suggests: r-cran-matrix, r-cran-knitr, r-cran-rmarkdown, r-cran-lightgbm
Filename: pool/dists/focal/main/r-cran-eix_1.2.0-1.ca2004.1_all.deb
Size: 328456
MD5sum: 2915995fb97c9550b8416b4f19a53374
SHA1: 8333718fdc1f38e1d5743d1bae3bcd0396feec1a
SHA256: 8f1a707ce02d3f9cd563a0df31a6596c1de3826d69dbf32c6dad4fa3ab0e8cc6
SHA512: 6042d010927b755335b2be8609e21d2d1fc48f12675f019f0d2e0b89db8db48df6da7d4c415c5a2148a9ab3cc675bd6c56ab783a700bfda447b2b240904b6566
Homepage: https://cran.r-project.org/package=EIX
Description: CRAN Package 'EIX' (Explain Interactions in 'XGBoost')
 Structure mining from 'XGBoost' and 'LightGBM' models.  Key functionalities
 of this package cover: visualisation of tree-based ensembles models,
 identification of interactions, measuring of variable importance, measuring
 of interaction importance, explanation of single prediction with break down
 plots (based on 'xgboostExplainer' and 'iBreakDown' packages).  To download
 the 'LightGBM' use the following link:
 <https://github.com/Microsoft/LightGBM>.  'EIX' is a part of the 'DrWhy.AI'
 universe.

Package: r-cran-eixport
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1311
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-ncdf4, r-cran-raster, r-cran-cptcity, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-lwgeom, r-cran-units, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eixport_0.6.2-1.ca2004.1_all.deb
Size: 880492
MD5sum: 7c4742c651622649271b3e5a8a55e733
SHA1: 0fb26e032d91d5d3d5799808760dc42c3a4927f2
SHA256: 50aa0718d9a2038f2d1356e9c100e56637805434942d8c4662ef7ed5de2b98e4
SHA512: 0dec687ce695cf0273b7f733c9dd6cf87cec253eba5968c89b1cd63a6c45aa44b4ead146e00454e9c0492765565b71f294555e201ccba796bcbd7171163b5c5d
Homepage: https://cran.r-project.org/package=eixport
Description: CRAN Package 'eixport' (Export Emissions to Atmospheric Models)
 Emissions are the mass of pollutants released into the atmosphere. Air
 quality models need emissions data, with spatial and temporal distribution,
 to represent air pollutant concentrations. This package, eixport, creates
 inputs for the air quality models 'WRF-Chem' Grell et al (2005)
 <doi:10.1016/j.atmosenv.2005.04.027>, 'MUNICH' Kim et al (2018)
 <doi:10.5194/gmd-11-611-2018> , 'BRAMS-SPM' Freitas et al (2005)
 <doi:10.1016/j.atmosenv.2005.07.017> and 'RLINE' Snyder et al (2013)
 <doi:10.1016/j.atmosenv.2013.05.074>. See the 'eixport' website
 (<https://atmoschem.github.io/eixport/>) for more information,
 documentations and examples. More details in Ibarra-Espinosa et al (2018)
 <doi:10.21105/joss.00607>.

Package: r-cran-ekmcmc
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ekmcmc_1.1.2-1.ca2004.1_all.deb
Size: 57180
MD5sum: 5b91bac512679ab4f454d7b2334cbb5a
SHA1: 7ec69524672b20446ecd3adf103340f601a9b903
SHA256: 8a20cdc5972efd710d81ccfb49447a5b86374d15863ac8149afbf4cb19b9b1ea
SHA512: 1c0882a407f474e5b3ec9a6f1117339a6e879da92da2456a53df21461508e238ce1caa52794f1517bbc25dc12fc90945ef50f40d15cbc44c50a7db65fec6e14e
Homepage: https://cran.r-project.org/package=EKMCMC
Description: CRAN Package 'EKMCMC' (MCMC Procedures for Estimating Enzyme Kinetics Constants)
 Functions for estimating catalytic constant and Michaelis-Menten constant
 for enzyme kinetics model using Metropolis-Hasting algorithm within Gibbs
 sampler based on the Bayesian framework.

Package: r-cran-eks
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1583
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-geos, r-cran-ggplot2, r-cran-isoband, r-cran-ks, r-cran-lwgeom, r-cran-mapsf, r-cran-sf
Suggests: r-cran-ggquiver, r-cran-ggthemes, r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eks_1.1.0-1.ca2004.1_all.deb
Size: 1350184
MD5sum: a9bb6d19383c8b90d5188cf27b350cf9
SHA1: fba6f30a0ffa11bdc6b9268451e6dc6edfd13fe8
SHA256: 7f78c816f50bfadca6d383c826c606d233fe3ce2a165e25f4bf2ac9c2eb3a310
SHA512: f2254f349fd5c0dcd4e9a3afd7620cd848d4e47357fe75134d2454b5eeae3b7339714ba9ae8f8641019fd076905ad5807fae1fa166a9ebbd88c74cd39fb473a2
Homepage: https://cran.r-project.org/package=eks
Description: CRAN Package 'eks' (Tidy and Geospatial Kernel Smoothing)
 Extensions of the kernel smoothing functions from the 'ks' package for
 compatibility with the tidyverse and geospatial ecosystems
 <doi:10.1007/s00180-024-01543-9>.

Package: r-cran-el2surv
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-el2surv_1.1-1.ca2004.1_all.deb
Size: 62624
MD5sum: 2daf9c82fdc1912e37ee70f7b9465b44
SHA1: 5331f5b7e1494d9893246840736e3e5e54a8a63e
SHA256: 96c265dd190de2c2b230911a751aa5fd97db356bc60a18d2f218fe86e2af1ca1
SHA512: 617b9042db1dd1c864bd47a47dc8e0e359d5b0732b0956ccfdcd195e5de417a2d427dc18a96165d5fe8e2a33d28d30e30951f7795b104017a7b30524492d95cd
Homepage: https://cran.r-project.org/package=EL2Surv
Description: CRAN Package 'EL2Surv' (Empirical Likelihood (EL) for Comparing Two Survival Functions)
 Functions for computing critical values and implementing the
 one-sided/two-sided EL tests.

Package: r-cran-elaborator
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3540
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seriation, r-cran-shiny, r-cran-dplyr, r-cran-purrr, r-cran-dt, r-cran-here, r-cran-tidyselect, r-cran-rlang, r-cran-tidyr, r-cran-forcats, r-cran-rcolorbrewer, r-cran-bsplus, r-cran-dendextend, r-cran-haven, r-cran-reshape2, r-cran-shape, r-cran-shinywidgets, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-elaborator_1.3.5-1.ca2004.1_all.deb
Size: 3041960
MD5sum: ae6fc2d3cf75721c5b1eeea4dceb9f68
SHA1: 2a8706b54c5e895cadefa6ce5f8e6a3ba2418e7f
SHA256: 992a8f5084dffd62b903b1fa3757b48f92e3576d41b23af550969d6112308776
SHA512: 3f20403aebe021da28d2f7be3805705c27463aecfb6ea0526d6b5096084a67abedcc2593973f57676f1fe5ab36778fef82baf2030951af24ee4e46f716bf6f68
Homepage: https://cran.r-project.org/package=elaborator
Description: CRAN Package 'elaborator' (A 'shiny' Application for Exploring Laboratory Data)
 A novel concept for generating knowledge and gaining insights into
 laboratory data. You will be able to efficiently and easily explore your
 laboratory data from different perspectives. Janitza, S., Majumder, M.,
 Mendolia, F., Jeske, S., & Kulmann, H. (2021)
 <doi:10.1007/s43441-021-00318-4>.

Package: r-cran-elasdics
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-elasdics_1.1.3-1.ca2004.1_all.deb
Size: 147084
MD5sum: bbce97f5ead4b8d5549b9c6ca43adc9b
SHA1: 46988e04f0265ddd48d9a0863f5aefce14981258
SHA256: d0f35901031025fdf3da2c17c83d19c191ef9c24e2a134a161c48d1950324b8c
SHA512: f46209a4ad3b7d697b4962abe37e41575d9c2ff13b17613b10282977b290525239e1fb9c2a57fd1eb90a9470a0953b8ceac0fec306c1f6685eb8b7084c506000
Homepage: https://cran.r-project.org/package=elasdics
Description: CRAN Package 'elasdics' (Elastic Analysis of Sparse, Dense and Irregular Curves)
 Provides functions to align curves and to compute mean curves based on the
 elastic distance defined in the square-root-velocity framework. For more
 details on this framework see Srivastava and Klassen (2016,
 <doi:10.1007/978-1-4939-4020-2>).  For more theoretical details on our
 methods and algorithms see Steyer et al. (2023, <doi:10.1111/biom.13706>)
 and Steyer et al. (2023, <arXiv:2305.02075>).

Package: r-cran-elasso
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-sizer
Filename: pool/dists/focal/main/r-cran-elasso_1.1-1.ca2004.1_all.deb
Size: 14444
MD5sum: c16a7f0618d189c221979cfecd42506e
SHA1: e88cfab574100e1ba671c7755324bd8770619d8d
SHA256: 69c78e0e6d841ae03f08c139e3f20f287bebd56b4f6d150a1b705c2490f1f6fe
SHA512: 9a8d430e12396576f33d721638ac3f843f8262beb6eeea756fe828f2d839298d5fb9d354224e694cccd115967a2eb3c1a9f72183a3851750eee94291603f779c
Homepage: https://cran.r-project.org/package=elasso
Description: CRAN Package 'elasso' (Enhanced Least Absolute Shrinkage and Selection OperatorRegression Model)
 Performs some enhanced variable selection algorithms based on the least
 absolute shrinkage and selection operator for regression model.

Package: r-cran-elastes
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-elasdics, r-cran-mgcv, r-cran-sparseflmm, r-cran-orthogonalsplinebasis
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-shapes
Filename: pool/dists/focal/main/r-cran-elastes_0.1.7-1.ca2004.1_all.deb
Size: 114152
MD5sum: bc00c4d24e4bbb96cc516f260fcdcc44
SHA1: 1119ed8fec093e52b15f73da5bafd57b02dfb22d
SHA256: 406951ae936318a6b023ee6427253467ac824b1abd18a7b0dbcb7964a8939280
SHA512: a2a35c2fde74b8381df9d1bdb0e87e55df511f2a487ad77d711baae345dd12bc052460d3a576f24a942eff36801bf87e84c67de05f3c568da06db7c3acf97eff
Homepage: https://cran.r-project.org/package=elastes
Description: CRAN Package 'elastes' (Elastic Full Procrustes Means for Sparse and Irregular PlanarCurves)
 Provides functions for the computation of functional elastic shape means
 over sets of open planar curves. The package is particularly suitable for
 settings where these curves are only sparsely and irregularly observed. It
 uses a novel approach for elastic shape mean estimation, where planar curves
 are treated as complex functions and a full Procrustes mean is estimated
 from the corresponding smoothed Hermitian covariance surface. This is
 combined with the methods for elastic mean estimation proposed in Steyer,
 Stöcker, Greven (2022) <doi:10.1111/biom.13706>. See Stöcker et. al. (2022)
 <arXiv:2203.10522> for details.

Package: r-cran-elastic
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4490
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-crul, r-cran-jsonlite, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elastic_1.2.0-1.ca2004.1_all.deb
Size: 738820
MD5sum: 8803fc7a9ece75b3a726fa0678a27012
SHA1: 2e96288a320469526b238576fadf5278f748e7bf
SHA256: adf16f5b7d02826e8f591916ab6e3f61582c42846bdd5066281fde9882778093
SHA512: d311430a1fa62dfeb0117074802e1ef39e683bddf3afcf8fad58d11be657b80d4c5bd54f153d3013285fb83234db74b481f112e8612ddeee8cdfd710d726f247
Homepage: https://cran.r-project.org/package=elastic
Description: CRAN Package 'elastic' (General Purpose Interface to 'Elasticsearch')
 Connect to 'Elasticsearch', a 'NoSQL' database built on the 'Java' Virtual
 Machine. Interacts with the 'Elasticsearch' 'HTTP' API
 (<https://www.elastic.co/elasticsearch/>), including functions for setting
 connection details to 'Elasticsearch' instances, loading bulk data,
 searching for documents with both 'HTTP' query variables and 'JSON' based
 body requests. In addition, 'elastic' provides functions for interacting
 with API's for 'indices', documents, nodes, clusters, an interface to the
 cat API, and more.

Package: r-cran-elasticising
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-glmnet, r-cran-reshape2, r-cran-cvtools, r-cran-qgraph
Suggests: r-cran-isingsampler, r-cran-akima
Filename: pool/dists/focal/main/r-cran-elasticising_0.2-1.ca2004.1_all.deb
Size: 39980
MD5sum: 578eb386d0a36350df3d1ca15ae071e9
SHA1: d068d68ae9a6c7b5e8ed11c80fedfc177188a358
SHA256: bbbaafbdbe8b9df5fa6085cb95599427457d6412e147ce6b50125e7f72297ee2
SHA512: d97307d6125d6bf94ae821b386aa29870d7a6269e65c655264f0fb0a432a894541e39ef06764b954407a1547b71577484311c28961c12cfc8296f3e38d983790
Homepage: https://cran.r-project.org/package=elasticIsing
Description: CRAN Package 'elasticIsing' (Ising Network Estimation using Elastic Net and k-FoldCross-Validation)
 Description: Uses k-fold cross-validation and elastic-net regularization to
 estimate the Ising model on binary data. Produces 3D plots of the cost
 function as a function of the tuning parameter in addition to the optimal
 network structure.

Package: r-cran-elasticnet
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-elasticnet_1.3-1.ca2004.1_all.deb
Size: 234144
MD5sum: b319d164b0cd159e25a44cf30d6540c9
SHA1: b11fc6bb44642d7d522609764c193edaec9bfcaf
SHA256: f95ddd945317c4bee1fd95fda1830b36a8c8d48d48f6151b866b0a08bc30a3f6
SHA512: 12be1cfef785b789c3da3d5b8ed91dc49c5808410c2f54cf5aaff398094953a8df0d2a2a34b727d7621a982ddb4d94b641740d9a86b25759b89102d3ee6cf381
Homepage: https://cran.r-project.org/package=elasticnet
Description: CRAN Package 'elasticnet' (Elastic-Net for Sparse Estimation and Sparse PCA)
 Provides functions for fitting the entire solution path of the Elastic-Net
 and also provides functions for doing sparse PCA.

Package: r-cran-elcic
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-poisnor, r-cran-bindata, r-cran-geepack, r-cran-wgeesel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elcic_0.2.1-1.ca2004.1_all.deb
Size: 205416
MD5sum: de87477acb4e6d4273a67e59f5e9c885
SHA1: 1aceb10472eb99a226a29b2cdf2ebaf280f5d288
SHA256: c52742209d5e77d16894249d3135b92b0149c9cad0977646dee92498101335a2
SHA512: caa44ed33d883f3f1878b205abe108aef4572537bdc1614bad59d3b142e15030d25c42d6aacaceb1902c41082c336eee30982048cd6ad00a2bf3b6664f684216
Homepage: https://cran.r-project.org/package=ELCIC
Description: CRAN Package 'ELCIC' (The Empirical Likelihood-Based Consistent Information Criterion)
 We developed a consistent and robust information criterion to conduct model
 selection for semiparametric models. It is free of distribution
 specification and powerful to locate the true model given large sample size.
 This package provides several usage of ELCIC with applications in
 generalized linear model (GLM), generalized estimating equation (GEE) for
 longitudinal data, and weighted GEE (WGEE) for missing longitudinal data
 under the mechanism of missing at random and drop-out. Chixaing Chen, Ming
 Wang, Rongling Wu, Runze Li (2020) <doi:10.5705/ss.202020.0254>.

Package: r-cran-elec
Architecture: all
Version: 0.1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elec_0.1.2.2-1.ca2004.1_all.deb
Size: 213492
MD5sum: 4764f93e599c113d2136b52c0d07db5b
SHA1: fa161d499a8bad416971abdb6c5b70f03e846587
SHA256: c3019b41a84e0b523b15189654999b6995e8895fbb0bdf468894d271cfd80180
SHA512: 8da009a0f961b3129ad305ccc27303ca0e4ae0f74adb5ebe1120f27dedd555719fc6abe86865a2825891dd7560e376a4c38c47c9516109ceb8a7ecfd5f92234c
Homepage: https://cran.r-project.org/package=elec
Description: CRAN Package 'elec' (Collection of Functions for Statistical Election Audits)
 This is a (somewhat bizarre) collection of functions written to do various
 sorts of statistical election audits.  There are also functions to generate
 simulated voting data, including methods to simulation different types of
 voting errors which allow for simulations for checking the characteristics
 of these methods.

Package: r-cran-elechemr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-elechemr_1.2.0-1.ca2004.1_all.deb
Size: 188924
MD5sum: b556f77f80be03cd03448810f6b0742c
SHA1: 3d6c47807a0792101dcd997da3265da38de2ebc1
SHA256: ef54a84f6faf99627a237e4a5a85799e23786a81c6b9d15a23c713f157c35d87
SHA512: aca66444b6209f8d26252615e740cc40a2ef76610f7265b08856448eb425f0250c5f6292c0d4f843d8256a3aec882d5efd12108fb7e002822ad7f7e39f9e9956
Homepage: https://cran.r-project.org/package=EleChemr
Description: CRAN Package 'EleChemr' (Electrochemical Reactions Simulation)
 Digital simulation of electrochemical processes.  Each function allows for
 implicit and explicit solution of the differential equation using methods
 like Euler, Backwards implicit, Runge Kutta 4, Crank Nicholson and Backward
 differentiation formula as well as different number of points for derivative
 approximation. Several electrochemical processes can be simulated such as:
 Chronoamperometry, Potential Step, Linear Sweep, Cyclic Voltammetry, Cyclic
 Voltammetry with electrochemical reaction followed by chemical reaction (EC
 mechanism) and CV with two following electrochemical reaction (EE
 mechanism). In update 1.1.0 has been added a general purpose CV function
 that allow to simulate up to 4 EE mechanism combined with chemical reaction
 for each species.Update 1.2.0 improved the accuracy of the measurements and
 allow personalized data resolution for simulation.  Bibliography regarding
 this methods can be found in the following texts.  Dieter Britz, Jorg
 Strutwolf (2016) <ISBN:978-3-319-30292-8>.  Allen J. Bard, Larry R. Faulkner
 (2000) <ISBN:978-0-471-04372-0>.

Package: r-cran-elect
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-elect_1.2-1.ca2004.1_all.deb
Size: 76516
MD5sum: 2634002a28561c62504098fe862904d1
SHA1: b2b3be95bcc99bad1bb0c735608040f8b6602e31
SHA256: 166432408e73fc866e7c8290608413b256c58dff50847c11e0c7f9462389defd
SHA512: 1f4ca1be6ea75e778cdf66101ec21f3c695a390d934b6f3ba205ab49dc40af9be90f5305451806c801bd395cdb7289548de37aa03c4581719060dd58d5960c62
Homepage: https://cran.r-project.org/package=elect
Description: CRAN Package 'elect' (Estimation of Life Expectancies Using Multi-State Models)
 Functions to compute state-specific and marginal life expectancies. The
 computation is based on a fitted continuous-time multi-state model that
 includes an absorbing death state; see Van den Hout (2017,
 ISBN:9781466568402). The fitted multi-state model model should be estimated
 using the 'msm' package using age as the time-scale.

Package: r-cran-electdecomp
Architecture: all
Version: 0.0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-electdecomp_0.0.1-8-1.ca2004.1_all.deb
Size: 69452
MD5sum: 25c073183fce6ec9b66a8cfd122445fb
SHA1: 10050a814aab192f152a7a99aadb67e6a2aab09b
SHA256: afc9528feea4bfdbfc978a130654feba8f7868cec39a17bf6116ed08cc16e59f
SHA512: 28cc7e72dbac7e71f71d96138bf88f8ef1d5ffd4390e77188564b525e2845b703907d203836d6726e2e87ada9424ce9cb2c1e6f2f50e9cfa8c76301f706c917b
Homepage: https://cran.r-project.org/package=ElectDecomp
Description: CRAN Package 'ElectDecomp' (Decomposition of Seats-to-Votes Distortions)
 Analyses districted electoral systems of any magnitude by computing
 district-party conversion ratios and seats-to-votes deviations, decomposing
 the sources of deviation. Traditional indexes are also computed.
 References: Kedar, O., Harsgor, L. and Sheinerman, R.A. (2016).
 <doi:10.1111/ajps.12225>.  Penades, A and Pavia, J.M. (2025) ''The
 decomposition of seats-to-votes distortion in elections: mean, variance,
 malapportionment and participation''.  Acknowledgements: The authors wish to
 thank Consellería de Educación, Cultura, Universidades y Empleo, Generalitat
 Valenciana (grant CIACO/2023/031) for supporting this research.

Package: r-cran-elections
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-elections_1.0.1-1.ca2004.1_all.deb
Size: 12396
MD5sum: 4d3258b2f801386870f847076222f04c
SHA1: bae73c03da1304ee0f2c2a68bf118a4a1fe21227
SHA256: cf5be26fb9defc2fe0bedb99e34bead35923f75453bd589b7059dc280e272f5a
SHA512: f372de4729d61709860f6e17a999c293cffcbe69744a11d8fd42dc7c6c02bf264fdcde4209ef3a7dbd9f46b168ed3847b958a8a5f71d3a179f32c673687c18de
Homepage: https://cran.r-project.org/package=elections
Description: CRAN Package 'elections' (USA Presidential Elections Data)
 This includes a dataset on the outcomes of the USA presidential elections
 since 1920, and various predictors, as used in
 <https://www.vanderwalresearch.com/blog/15-elections>.

Package: r-cran-electionsbr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-data.table, r-cran-haven, r-cran-readr, r-cran-httr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-electionsbr_0.5.0-1.ca2004.1_all.deb
Size: 156228
MD5sum: 0a5a67c7d39396500151b9232d94a31f
SHA1: 1dfc2cb28cbba23c982efeabd44a9608901e9c50
SHA256: efab5e267f3ece7651f12be5ad756db1289cf8cca18b2cdb479c33e996066cc7
SHA512: eef793a32a1e4ebba36d1618cbb7808addbcede0c56d59f6bc11fdc2f930af46861db2cce72af2b209b46123d4f8a5feb0a026499e0b4429f928f84379d104f1
Homepage: https://cran.r-project.org/package=electionsBR
Description: CRAN Package 'electionsBR' (R Functions to Download and Clean Brazilian Electoral Data)
 Offers a set of functions to easily download and clean Brazilian electoral
 data from the Superior Electoral Court and 'CepespData' websites.  Among
 other features, the package retrieves data on local and federal elections
 for all positions (city councilor, mayor, state deputy, federal deputy,
 governor, and president) aggregated by state, city, and electoral zones.

Package: r-cran-electionslatam
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1085
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lgr, r-cran-r6, r-cran-readr, r-cran-readxl, r-cran-dplyr, r-cran-magrittr, r-cran-foreign, r-cran-boot, r-cran-networkd3, r-cran-webshot, r-cran-testthat
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-lintr, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-electionslatam_0.1.1-1.ca2004.1_all.deb
Size: 432584
MD5sum: 9540ccf4b70fb973786319446ceb5fd2
SHA1: 4ca0a9ce2313470efec9005c7f7a33e53b8d4fde
SHA256: b7f92ee2dc40c37711a420fb5e8ba992a287dcdfea4f4ec98ac8d731309e6c2b
SHA512: f3e83f92ebe86a859d5136d183861078ccc0d2ec067cf5a25eee1282d2507e28a79df13275afe12704b8c9cea525308e0245b782f36883e3a0f97a29fbf59f95
Homepage: https://cran.r-project.org/package=ElectionsLATAM
Description: CRAN Package 'ElectionsLATAM' (Statistics Methods for Applying in LATAM Elections)
 Is intended for applying reproducible research on statistical methods for
 latinamerican (& others) elections.

Package: r-cran-electivity
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-usethis
Filename: pool/dists/focal/main/r-cran-electivity_1.0.2-1.ca2004.1_all.deb
Size: 32400
MD5sum: f66774c90124f4273e4b1582255d90b9
SHA1: c6a38ff25b92be0a1e76cb91f599f19ee551503d
SHA256: fc51b41ed27e3d621d7073af81ee75ed63fc7ec1f243aff22efcc793c35ac83c
SHA512: e6c5f767142fab735856fc537d9ddb0d368f9b357c6982b4ed99cb75ed8e0e0145d5d2cf50729ac21edd9ea0260cbf9afd7cf13b9c4cf882bc299b2a88f7718f
Homepage: https://cran.r-project.org/package=electivity
Description: CRAN Package 'electivity' (Algorithms for Electivity Indices)
 Provides all electivity algorithms (including Vanderploeg and Scavia
 electivity) that were examined in Lechowicz (1982) <doi:10.1007/BF00349007>,
 plus the example data that were provided for moth resource utilisation.

Package: r-cran-electoral
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ineq, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-electoral_0.1.4-1.ca2004.1_all.deb
Size: 45872
MD5sum: 99eb188a511926fad06c70198b52e3a4
SHA1: b5baefc74ccf97544c81d3e9c0c798c522e1b3a3
SHA256: aae51f1e372b5d3f9c97c229a82b79c7e6fe0f7e693b8307f85e489dc1173cae
SHA512: 0208c973a232d37220f5b7b86ebe26fc1cbe4a063b5b4ecf3171cd878599e100b0dc89ca7fb0be87387c94b322d3329f340325b969e81789c542a5cb016d33de
Homepage: https://cran.r-project.org/package=electoral
Description: CRAN Package 'electoral' (Allocating Seats Methods and Party System Scores)
 Highest averages & largest remainders allocating seats methods and several
 party system scores.  Implemented highest averages allocating seats methods
 are D'Hondt, Webster, Danish, Imperiali, Hill-Huntington, Dean, Modified
 Sainte-Lague, equal proportions and Adams.  Implemented largest remainders
 allocating seats methods are Hare, Droop, Hangenbach-Bischoff, Imperial,
 modified Imperial and quotas & remainders.  The main advantage of this
 package is that ties are always reported and not incorrectly allocated.
 Party system scores provided are competitiveness, concentration, effective
 number of parties, party nationalization score, party system nationalization
 score and volatility.  References: Gallagher (1991)
 <doi:10.1016/0261-3794(91)90004-C>.  Norris (2004, ISBN:0-521-82977-1).
 Laakso & Taagepera (1979) <https://escholarship.org/uc/item/703827nv>.
 Jones & Mainwaring (2003)
 <https://kellogg.nd.edu/sites/default/files/old_files/documents/304_0.pdf>.
 Pedersen (1979) <https://janda.org/c24/Readings/Pedersen/Pedersen.htm>.
 Golosov (2010) <doi:10.1177/1354068809339538>.  Golosov (2014)
 <doi:10.1177/1354068814549342>.

Package: r-cran-elementr
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4434
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gdata, r-cran-shiny, r-cran-devtools, r-cran-shinyjs, r-cran-gnumeric, r-cran-r6, r-cran-shinydashboard, r-cran-abind, r-cran-stringr, r-cran-lmtest, r-cran-tcltk2, r-cran-reader, r-cran-readods, r-cran-readxl, r-cran-envstats, r-cran-outliers, r-cran-zoo, r-cran-colourpicker, r-cran-httpuv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elementr_1.3.7-1.ca2004.1_all.deb
Size: 2884388
MD5sum: 2d0a7dfd44f3a6ed8cf4f6b8858c088b
SHA1: bed7da385b6049751ae3d71f597df7135c2a8174
SHA256: cdf260b0961524b0cccf2a5fad3cbffddbee44164703d110d6afbbf9c47ba5cd
SHA512: adecf3908c86ed6f3141868b58d97fcc3904a4a56cd935b371d751dd51a2fd30e31056bf58756ffce16e43d4903b5ef7c35faa10247131d21beef5dc8e0e8e26
Homepage: https://cran.r-project.org/package=elementR
Description: CRAN Package 'elementR' (An Framework for Reducing Elemental LAICPMS Data from SolidStructures)
 Aims to facilitate the reduction of elemental microchemistry data from
 solid-phase LAICPMS analysis (laser ablation inductive coupled plasma mass
 spectrometry). The 'elementR' package provides a reactive and user friendly
 interface (based on a 'shiny' application) and a set of 'R6' classes for
 conducting all steps needed for an optimal data reduction while leaving
 maximum control for user. For more details about the methods used in
 'elementR', see Sirot et al (2017) <DOI:10.1111/2041-210X.12822>.

Package: r-cran-elevatr
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2188
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-progressr, r-cran-sf, r-cran-terra, r-cran-future, r-cran-furrr, r-cran-purrr, r-cran-units, r-cran-slippymath, r-cran-curl, r-cran-raster
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr, r-cran-progress
Filename: pool/dists/focal/main/r-cran-elevatr_0.99.0-1.ca2004.1_all.deb
Size: 1176188
MD5sum: 01f199fe879da4477c6a64240f1d3eb3
SHA1: 40a2484dc6dc98cee5eaa9f427943318e99d9b0f
SHA256: a274ed6bfdba64d0098019cb3ec14bd0fccff06657fc1db91cf78a0b895c4bc3
SHA512: 730c68a7fea871773a51f6a7579abf66ee8040922a83e8102798c3cfc9b04ac7e22e51446a75f292eb8bc7e0ecb4136ff0917bde81e3c4f46305d27ff8cac729
Homepage: https://cran.r-project.org/package=elevatr
Description: CRAN Package 'elevatr' (Access Elevation Data from Various APIs)
 Several web services are available that provide access to elevation data.
 This package provides access to many of those services and returns elevation
 data either as an 'sf' simple features object from point elevation services
 or as a 'raster' object from raster elevation services. In future versions,
 'elevatr' will drop support for 'raster' and will instead return 'terra'
 objects.  Currently, the package supports access to the Amazon Web Services
 Terrain Tiles <https://registry.opendata.aws/terrain-tiles/>, the Open
 Topography Global Datasets API <https://opentopography.org/developers/>, and
 the USGS Elevation Point Query Service <https://apps.nationalmap.gov/epqs/>.

Package: r-cran-elevdistr
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2179
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggmap, r-cran-ggplot2, r-cran-rann, r-cran-terra
Suggests: r-cran-knitr, r-cran-rgbif, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-elevdistr_1.0.9-1.ca2004.1_all.deb
Size: 1279376
MD5sum: 133b2b0c5190d8c554954f3def82a7c3
SHA1: f6aa317c07d5317b5a45c4187e979d77ea9a6a01
SHA256: 83c58fb4f6c64c04e6076141bcade4abec91dcaaef639ae56ea459eafb83a1e9
SHA512: f15251af9676a812cccc879543072beb90e314c01dd2c23055e4f63a2b259a806b2e03e1ea169ac29bf418c5964178071d31787d0fe0c17a53d30ead4b0c34d2
Homepage: https://cran.r-project.org/package=ElevDistr
Description: CRAN Package 'ElevDistr' (Calculate the Distance to the Nearest Local Treeline)
 A method to calculate the distance to the climatic tree line for large data
 sets of coordinates (World Geodetic System 1984) with geographical
 uncertainty. The default thresholds and the treeline definition is based on
 Paulsen and Körner (2014) <doi:10.1007/s00035-014-0124-0>, users are free to
 decide what climate layers they would like to use.

Package: r-cran-elexr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-elexr_1.0-1.ca2004.1_all.deb
Size: 11612
MD5sum: 50452d321c2234542e95205f3f017e12
SHA1: 2ffa42337231e65f7ecc17fa44deb49be70a8aa8
SHA256: fd417fee27f8e12848c3d123908b484146b070d3fab8343e8f7303dc27e04a63
SHA512: 7549125be855ccfcc972ab7a32ea684c0991239b1b06b9aa9cd733c2142e9535b91ee3d7a63b718d998368b6d45e302d2938c4ccbbe586a9a7c6b60a158195de
Homepage: https://cran.r-project.org/package=elexr
Description: CRAN Package 'elexr' (Load Associated Press Election Results with Elex)
 Provides R access to election results data. Wraps elex
 (https://github.com/newsdev/elex/), a Python package and command line tool
 for fetching and parsing Associated Press election results.

Package: r-cran-elfgen
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-quantreg, r-cran-ggplot2, r-cran-testit, r-cran-scales, r-cran-sqldf, r-cran-curl, r-cran-sbtools, r-cran-nhdplustools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elfgen_2.3.3-1.ca2004.1_all.deb
Size: 200600
MD5sum: fbe88884ecae7bf3e01848d4864cd50d
SHA1: 7ebf357d57adf38a3d241a460731dad129def079
SHA256: 8a5e2d808b2d8c35155e2b5193ff71077d8e18f00be1550e9e44c8e62b641ef7
SHA512: af5e99253664d3cf63e9b4000e73ad32bc55ef5261ebb8c75d6d37a62f5f87fb56da69a402136c8a6188f85d5495f9f9b02189ee85ad1cc969fb26f27009e7ab
Homepage: https://cran.r-project.org/package=elfgen
Description: CRAN Package 'elfgen' (Ecological Limit Function Model Generation and Analysis Toolkit)
 A toolset for generating Ecological Limit Function (ELF) models and
 evaluating potential species loss resulting from flow change, based on the
 'elfgen' framework. ELFs describe the relation between aquatic species
 richness (fish or benthic macroinvertebrates) and stream size
 characteristics (streamflow or drainage area). Journal publications are
 available outlining framework methodology (Kleiner et al. (2020)
 <doi:10.1111/1752-1688.12876>) and application (Rapp et al. (2020)
 <doi:10.1111/1752-1688.12877>).

Package: r-cran-elhmc
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emplik, r-cran-plyr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-elhmc_1.2.1-1.ca2004.1_all.deb
Size: 31120
MD5sum: e0068b9b72d7642ce023c0edcb9b60aa
SHA1: cc18d60b7ba7f611502a3ecd8300b641f4fb6e2a
SHA256: f31d23ad6d667c188103c3e102c55f7358c212eaf89deb32be076daa5da2c0a6
SHA512: adf15c6bca5fa5bc02baf2f2a915e999ac27fdc67fd6690bcd4c2e12ab0c2064c0a4f2449f226a388fa046ce29eb88f4516e7ab9862b76ccbf21123652d9eeec
Homepage: https://cran.r-project.org/package=elhmc
Description: CRAN Package 'elhmc' (Sampling from a Empirical Likelihood Bayesian Posterior ofParameters Using Hamiltonian Monte Carlo)
 A tool to draw samples from a Empirical Likelihood Bayesian posterior of
 parameters using Hamiltonian Monte Carlo.

Package: r-cran-elisatools
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1736
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r2html, r-cran-stringi, r-cran-minpack.lm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-elisatools_0.1.8-1.ca2004.1_all.deb
Size: 1586892
MD5sum: c73d1f52dce3f03eb349b1fb35600f0d
SHA1: cd20e95429fdf188c672c838b1bfc32959257e87
SHA256: 1c5b7643aa7f618204809ebf6f87086f92fbbd9a3f81d279ff0b606b7f62897c
SHA512: 90905e6a94f87a098a945bf5562c943c8008ef6e032f2094d418fc55dcc1a77e4beaa4c3b775deca5dfd1c109b4d525d1ec8f037a7d2c2b8ec40cdf93a416346
Homepage: https://cran.r-project.org/package=ELISAtools
Description: CRAN Package 'ELISAtools' (ELISA Data Analysis with Batch Correction)
 To run data analysis for enzyme-link immunosorbent assays (ELISAs).  Either
 the five- or four-parameter logistic model will be fitted for data of single
 ELISA.  Moreover, the batch effect correction/normalization will be carried
 out, when there are more than one batches of ELISAs.  Feng (2018)
 <doi:10.1101/483800>.

Package: r-cran-elisr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 838
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-pkgdown, r-cran-psych, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elisr_0.1.1-1.ca2004.1_all.deb
Size: 607632
MD5sum: 667d4c81941dccb59fabcf3adedfb048
SHA1: 79683878dcccc8135e8f0463350b81f92a2fe2fa
SHA256: 165f327ed20bbd3979a4a0eb8f02ddf3d214eedb06ab60eddb1ec099bcc0eaf7
SHA512: 9f389eb7365119d3567152ca6a3ab69e0a188c3f4f3c2bd8180846f70518fe0cdecc60319b0507237994fc555c672b8512c39460e74ada25ad4ecc978d5911f9
Homepage: https://cran.r-project.org/package=elisr
Description: CRAN Package 'elisr' (Exploratory Likert Scaling)
 An alternative to Exploratory Factor Analysis (EFA) for metrical data in R.
 Drawing on characteristics of classical test theory, Exploratory Likert
 Scaling (ELiS) supports the user exploring multiple one-dimensional data
 structures. In common research practice, however, EFA remains the go-to
 method to uncover the (underlying) structure of a data set. Orthogonal
 dimensions and the potential of overextraction are often accepted as side
 effects. As described in Müller-Schneider (2001)
 <doi:10.1515/zfsoz-2001-0404>), ELiS confronts these problems. As a result,
 'elisr' provides the platform to fully exploit the exploratory potential of
 the multiple scaling approach itself.

Package: r-cran-elist
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-elist_0.2.0-1.ca2004.1_all.deb
Size: 102760
MD5sum: 6208c9b0785b65c84ed106b12d086479
SHA1: 44cd1548f3d11e3509e4531ca90c90cd95fa0769
SHA256: ed4597b72bed1f5b0dbcfc155525b1ffb49e66613f89f15b4518f1897e95b44c
SHA512: ee32da37feed1a33030f171245d510f10047d2ed001066113be61fafdf02b39e4d3c26a36271598848bec1f23892c30ddd9b5a5bcc4391789456759f80a92423
Homepage: https://cran.r-project.org/package=eList
Description: CRAN Package 'eList' (List Comprehension and Tools)
 Create list comprehensions (and other types of comprehension) similar to
 those in 'python', 'haskell', and other languages. List comprehension in 'R'
 converts a regular for() loop into a vectorized lapply() function. Support
 for looping with multiple variables, parallelization, and across
 non-standard objects included. Package also contains a variety of functions
 to help with list comprehension.

Package: r-cran-elitism
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-elitism_1.1.1-1.ca2004.1_all.deb
Size: 91028
MD5sum: b583a84d5a7667bfd3857effafd3cfca
SHA1: 89e6fc56b36b805aef2648e38704c72aa0058d01
SHA256: 9807e2b5db7ce446c1c2deb45d36a3d340b25ce9813bc7f0ea361339e2eb0819
SHA512: f55b254908def4eba031c29aa283b60dfbfc109a8816362788099f50e1abb9ab28851e1167e86503a4aa05e3f19f1180e2c1fc8784aae007738980f3928215e7
Homepage: https://cran.r-project.org/package=elitism
Description: CRAN Package 'elitism' (Equipment for Logarithmic and Linear Time Stepwise MultipleHypothesis Testing)
 Recently many new p-value based multiple test procedures have been proposed,
 and these new methods are more powerful than the widely used Hochberg
 procedure. These procedures strongly control the familywise error rate
 (FWER). This is a comprehensive collection of p-value based FWER-control
 stepwise multiple test procedures, including six procedure families and
 thirty multiple test procedures. In this collection, the conservative
 Hochberg procedure, linear time Hommel procedures, asymptotic Rom procedure,
 Gou-Tamhane-Xi-Rom procedures, and Quick procedures are all developed in
 recent five years since 2014. The package name "elitism" is an acronym of
 "e"quipment for "l"ogarithmic and l"i"near "ti"me "s"tepwise "m"ultiple
 hypothesis testing.  See Gou, J. (2022), "Quick multiple test procedures and
 p-value adjustments", Statistics in Biopharmaceutical Research 14(4),
 636-650.

Package: r-cran-elja
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-elja_1.0.0-1.ca2004.1_all.deb
Size: 67416
MD5sum: 152cd2f6ec460d8d72457c8f77a6f379
SHA1: 8034435d8b87abe499abfd98281819c517764fd3
SHA256: 26b427353e68650d1e8067d2f2a1aa00d017c996182b14a353724bc5851526df
SHA512: 5bc1907d21ba2f72fda0611b16b9dcec2366d27db5fc0d645b5e2f3e206ff34d75d9eaa196f4e2bf22ba02a68a0c7443b407a5e581314b6d138beb43b15a3cdd
Homepage: https://cran.r-project.org/package=Elja
Description: CRAN Package 'Elja' (Linear, Logistic and Generalized Linear Models Regressions forthe EnvWAS/EWAS Approach)
 Tool for Environment-Wide Association Studies (EnvWAS / EWAS) which are
 repeated analysis. It includes three functions. One function for linear
 regression, a second for logistic regression and a last one for generalized
 linear models.

Package: r-cran-elliplot
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-elliplot_1.3.0-1.ca2004.1_all.deb
Size: 41868
MD5sum: 3881efcf3d3f55c586a9fd2e6b049f40
SHA1: 9bf91e0ac82543b812f526aec044b8a6958975eb
SHA256: 544ed66d4c1ef576e1dc9c2ad3b9f31dac03c2f526154509403d7a12e13264b4
SHA512: 7c649afe692a54b5866a207a1fe341d0eccbb90335fc5df882eca655dda8ddba15ae288894048483dc31c9c669a43014aea0120b75464513616ff1225ba1cf19
Homepage: https://cran.r-project.org/package=elliplot
Description: CRAN Package 'elliplot' (Ellipse Summary Plot of Quantiles)
 Correlation chart of two set (x and y) of data.  Using Quantiles.  Visualize
 the effect of factor.

Package: r-cran-ellipse
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-ellipse_0.5.0-1.ca2004.1_all.deb
Size: 216084
MD5sum: a21e0265cb42035251c7a18fec5e91f0
SHA1: ab01c8cebeeb57eb2ce9a23c318d114e57595e82
SHA256: 5315ac32d802a43b9bd2a7a0dce32513a24bec42a759f54a54196acd86ce606b
SHA512: 841a671185debd54720f8de69f634a91cf4d88aeb3acd89554f60c39d000be94ed6e9e66f6a668fa11f176f7f681ecfc922727f3740e37fcf4ff3dbaa3b5fe0b
Homepage: https://cran.r-project.org/package=ellipse
Description: CRAN Package 'ellipse' (Functions for Drawing Ellipses and Ellipse-Like ConfidenceRegions)
 Contains various routines for drawing ellipses and ellipse-like confidence
 regions, implementing the plots described in Murdoch and Chow (1996,
 <doi:10.2307/2684435>). There are also routines implementing the profile
 plots described in Bates and Watts (1988, <doi:10.1002/9780470316757>).

Package: r-cran-elliptcopulas
Architecture: all
Version: 0.1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-runuran, r-cran-wdm, r-cran-matrix, r-cran-kstatistics, r-cran-pbapply
Suggests: r-cran-mvtnorm, r-cran-rmpfr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-elliptcopulas_0.1.4.1-1.ca2004.1_all.deb
Size: 161792
MD5sum: 170e9523de2d6c43ee1d57c4186f5127
SHA1: 1619f2e8c68f61b7740bf591f3402321ee48286b
SHA256: f48aeefc09fcbebea70ad37dde323ea00e2eeec87afc7f8e59da27573575a6c5
SHA512: 510d165c379fd4d8853829563ddd9eb351deb3ffcb8d790901ee1acfd575866ad2bd29eee8b553d442da36786f5119086bd6e7a2dcbab325c53ad71b0ff68048
Homepage: https://cran.r-project.org/package=ElliptCopulas
Description: CRAN Package 'ElliptCopulas' (Inference of Elliptical Distributions and Copulas)
 Provides functions for the simulation and the nonparametric estimation of
 elliptical distributions, meta-elliptical copulas and trans-elliptical
 distributions, following the article Derumigny and Fermanian (2022)
 <doi:10.1016/j.jmva.2022.104962>.

Package: r-cran-elliptic
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1432
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-emulator, r-cran-calibrator
Filename: pool/dists/focal/main/r-cran-elliptic_1.4-0-1.ca2004.1_all.deb
Size: 1236008
MD5sum: 747d384ecce8dee65ac1b0c8d2927ee5
SHA1: 932288517a66e137db0dcbe9d2615e9f6ce758f0
SHA256: 70e86c1405ff67f85f54f5f63e4953f6bd6248a00419cc9e19dae17a8f76e143
SHA512: 145ac0007363670b142a3893aae3fd0fc31fa8e1366e0f04e3504e976cca2a44b855dbb3581066581aed2cbc67696addf1a8ca315c6637cd5496d6a499f128eb
Homepage: https://cran.r-project.org/package=elliptic
Description: CRAN Package 'elliptic' (Weierstrass and Jacobi Elliptic Functions)
 A suite of elliptic and related functions including Weierstrass and Jacobi
 forms.  Also includes various tools for manipulating and visualizing complex
 functions.

Package: r-cran-ellipticalsymmetry
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-icsnp, r-cran-doparallel, r-cran-dorng
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ellipticalsymmetry_0.1.2-1.ca2004.1_all.deb
Size: 95636
MD5sum: bd3735f92247cdcf0ff1c34e4819d293
SHA1: e601afb657dd365397580c123f574e738bc0c29e
SHA256: a06f133c366d78d65faa64a02e43a96377e6de2ae1cf0995c29ada1ceb0d192e
SHA512: 412a31cb0e13e670801e65c04218f211f7ab4710d00267d62d29e78193188acf052a4face44505658dead04af3e427ccdc4708e4b77adfef8e848cc7ceea72dd
Homepage: https://cran.r-project.org/package=ellipticalsymmetry
Description: CRAN Package 'ellipticalsymmetry' (Elliptical Symmetry Tests)
 Given the omnipresence of the assumption of elliptical symmetry, it is
 essential to be able to test whether that assumption actually holds true or
 not for the data at hand. This package provides several statistical tests
 for elliptical symmetry that are described in Babic et al. (2021)
 <arXiv:2011.12560v2>.

Package: r-cran-ellmer
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1929
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-coro, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-later, r-cran-lifecycle, r-cran-promises, r-cran-r6, r-cran-rlang, r-cran-s7
Suggests: r-cran-base64enc, r-cran-connectcreds, r-cran-curl, r-cran-gargle, r-cran-gitcreds, r-cran-knitr, r-cran-magick, r-cran-openssl, r-cran-paws.common, r-cran-rmarkdown, r-cran-shiny, r-cran-shinychat, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ellmer_0.2.1-1.ca2004.1_all.deb
Size: 1321876
MD5sum: 61ff53b90a99c90d328cef1881dcd855
SHA1: d0c14b5e503d53637d62c2e50f8956ff24b69b52
SHA256: 69b759eedf9481abe1f301f78b83cd4e8dd756d3d42ffad1db4578dcf9154e8e
SHA512: 8082db1184ab797d1f5b88df8007b2d5732a8e5eb5e44bb6d9bd852de3563fec6e97076f1bbf385a9dee80fff4ae0616692f5b9bd944d27b5f1441a15d558728
Homepage: https://cran.r-project.org/package=ellmer
Description: CRAN Package 'ellmer' (Chat with Large Language Models)
 Chat with large language models from a range of providers including 'Claude'
 <https://claude.ai>, 'OpenAI' <https://chatgpt.com>, and more. Supports
 streaming, asynchronous calls, tool calling, and structured data extraction.

Package: r-cran-elmr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-elmr_1.0-1.ca2004.1_all.deb
Size: 32528
MD5sum: e174df647702850accaa5aa91c90e932
SHA1: a273809ced2c16f0d35031716b41db0b9accff72
SHA256: 5e322cea41809bc0215531c84431b8cf93d7aba5b2a708c95ec553cef0c8c00d
SHA512: ed252006a33c5d446866f34bcdcb0be228f007815bc3d31ed51a5f52980055d1f33d0d60ef55d697eed8bf2fe7462ebdbf487e0c8577b6ca265bc2bb4e9b8a41
Homepage: https://cran.r-project.org/package=ELMR
Description: CRAN Package 'ELMR' (Extreme Machine Learning (ELM))
 Training and prediction functions are provided for the Extreme Learning
 Machine algorithm (ELM). The ELM use a Single Hidden Layer Feedforward
 Neural Network (SLFN) with random generated weights and no gradient-based
 backpropagation. The training time is very short and the online version
 allows to update the model using small chunk of the training set at each
 iteration. The only parameter to tune is the hidden layer size and the
 learning function.

Package: r-cran-elmso
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-elmso_1.0.1-1.ca2004.1_all.deb
Size: 26724
MD5sum: f269f3461f594ee71cec96865ca5f167
SHA1: 93b8bf46f26012ec04b5a17198461787bbc82dca
SHA256: ae9c365c3979728380caa1ddc6a347fc739a409c427ee6f7e7e68dcb0c7c5b14
SHA512: 9aba8940c9d5406bdcf4b373d4cab34510d29a8dffe18f0adbe8ecc77b9de3715601361d083bb89761e0a4c6fd6d18cd08393f8e98f838c520bef8d2583271fa
Homepage: https://cran.r-project.org/package=ELMSO
Description: CRAN Package 'ELMSO' (Implementation of the Efficient Large-Scale Online DisplayAdvertising Algorithm)
 An implementation of the algorithm described in "Efficient Large- Scale
 Internet Media Selection Optimization for Online Display Advertising" by
 Paulson, Luo, and James (Journal of Marketing Research 2018; see URL below
 for journal text/citation and
 <http://faculty.marshall.usc.edu/gareth-james/Research/ELMSO.pdf> for a
 full-text version of the paper). The algorithm here is designed to allocate
 budget across a set of online advertising opportunities using a
 coordinate-descent approach, but it can be used in any resource-allocation
 problem with a matrix of visitation (in the case of the paper, website page-
 views) and channels (in the paper, websites). The package contains
 allocation functions both in the presence of bidding, when allocation is
 dependent on channel-specific cost curves, and when advertising costs are
 fixed at each channel.

Package: r-cran-elnnpairedcov
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biobase, r-cran-mass, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-elnnpairedcov_0.3.2-1.ca2004.1_all.deb
Size: 256168
MD5sum: 7a043da2547f72ade1a85d1b1f51cb80
SHA1: 5b423adb44f4481fdc442c28086142c20ba92f52
SHA256: 6462ea6c02fd6d2dc213b2c448ec3acd65eb125107dae077b5c3c4df47403f87
SHA512: 8e9cb1cc6d388524afbaba6e02e2ec86fcfc2e721f091f9835fe578c92f381ee873743fa9e2a3610ef4889efc793eb5f9dec49a1732c74392a7cf4042fa88f50
Homepage: https://cran.r-project.org/package=eLNNpairedCov
Description: CRAN Package 'eLNNpairedCov' (Model-Based Gene Selection for Paired Data)
 Model-based clustering for paired data based on the regression of a mixture
 of Bayesian hierarchical models on covariates. Zhang et al. (2023)
 <doi:10.1186/s12859-023-05556-x>.

Package: r-cran-elooptimized
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-reshape2, r-cran-bammtools, r-cran-magrittr, r-cran-lubridate, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-elooptimized_0.3.2-1.ca2004.1_all.deb
Size: 191372
MD5sum: 1464b980312855a29014c5403b5a5815
SHA1: 8f6873ce9e44d54e2813406b16a7df07e7ab832a
SHA256: c9e33b680605d1cf5c2edfaaf5d51d96ff8741196d882a3fa0877cead83a3e0f
SHA512: 3762814b84c20e401dca9b4a6c852fabac65e36d14a44aab2739d62661437f3f8022b91f3252504f73797e1460b0694f0232a5a9350d47a443320062d0d593d6
Homepage: https://cran.r-project.org/package=EloOptimized
Description: CRAN Package 'EloOptimized' (Optimized Elo Rating Method for Obtaining Dominance Ranks)
 Provides an implementation of the maximum likelihood methods for deriving
 Elo scores as published in Foerster, Franz et al. (2016)
 <DOI:10.1038/srep35404>.

Package: r-cran-elstonstewart
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-kinship2, r-cran-digest
Filename: pool/dists/focal/main/r-cran-elstonstewart_1.2-1.ca2004.1_all.deb
Size: 254848
MD5sum: 78c3b8121ab496f18fad2099d3826c0e
SHA1: 6b8e6651e39623301320b91921088d07c0306901
SHA256: 4581554e157cf4f93d258adfbfa439c0ad729aada703fd30b02efb54b29f323b
SHA512: f1c9be31a0b220013851bd5f2a6605aadfba65d46e3f37f1558f690eb9246d5dd16a52ab84152d14919d4299f03ba775267fcbf62e40baa4ccd5b7627089db20
Homepage: https://cran.r-project.org/package=ElstonStewart
Description: CRAN Package 'ElstonStewart' (Elston-Stewart Algorithm)
 Flexible implementation of Elston-Stewart algorithm.

Package: r-cran-elt
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-locfit, r-cran-lattice, r-cran-latticeextra, r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-elt_1.7-1.ca2004.1_all.deb
Size: 658160
MD5sum: 259f6e5d908f8dcc350f35904cf0cab9
SHA1: 0ce665545ec942339455bd8dcee25de60c0d859a
SHA256: e01a99b2903751590634cff4d52a478f0397a5f09421ba9006c203b18515f88a
SHA512: 58666a16cd130b5e75d4d763ab36ec5fddf460e2b1ee3eda8d6afc8c388ea6fdeb7a108b801900bc4833f66c10cde4a3eb6126060b8ce1081357a05b2f696224
Homepage: https://cran.r-project.org/package=ELT
Description: CRAN Package 'ELT' (Experience Life Tables)
 Build experience life tables.

Package: r-cran-eltr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eltr_0.1.0-1.ca2004.1_all.deb
Size: 57068
MD5sum: bbae7021f0701cec483633c28922b154
SHA1: 4c0e64491de5e8a121ffe8e298801d2e6b2449b7
SHA256: 1eb8cf3cdffd00cb8b559f9ccb1becf7bcf8631aea29d8c7943658615fecda8d
SHA512: 47521b87c707196bf9fac513357fadf82d8247cae22c847db095e8f353cc936d4819363cb80d42f75c66f570a2e520adf0921ce2ad602d07ef6f83b8f0f65cf1
Homepage: https://cran.r-project.org/package=eltr
Description: CRAN Package 'eltr' (Utilise Catastrophe Model Event Loss Table Outputs)
 Provides a tool to run Monte Carlo simulation of catastrophe model event
 loss tables, using a Poisson frequency and Beta severity distribution.

Package: r-cran-em.fuzzy
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzynumbers, r-cran-distrib
Filename: pool/dists/focal/main/r-cran-em.fuzzy_1.0-1.ca2004.1_all.deb
Size: 59188
MD5sum: 5daff6bed103fea834b07afabdec6806
SHA1: 8d4cf873b7d08eb0d12e0c5352f407b6b021d8a9
SHA256: ee1f307b12860ae70c4f1ef250e551e03c2039fb1585d1888e3c837eb36b25d6
SHA512: cec91d396329ebb9d276c3c2208d63dd7ca0a9d93123f22c797b67804033fc7dae7252ee40f237628d52985cd3e6acce5ea16770af2eb5356a5eeacb2a607400
Homepage: https://cran.r-project.org/package=EM.Fuzzy
Description: CRAN Package 'EM.Fuzzy' (EM Algorithm for Maximum Likelihood Estimation by Non-PreciseInformation)
 The EM algorithm is a powerful tool for computing maximum likelihood
 estimates with incomplete data. This package will help to applying EM
 algorithm based on triangular and trapezoidal fuzzy numbers (as two kinds of
 incomplete data). A method is proposed for estimating the unknown parameter
 in a parametric statistical model when the observations are triangular or
 trapezoidal fuzzy numbers. This method is based on maximizing the
 observed-data likelihood defined as the conditional probability of the fuzzy
 data; for more details and formulas see Denoeux (2011)
 <doi:10.1016/j.fss.2011.05.022>.

Package: r-cran-emailjsr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shiny.i18n, r-cran-httr, r-cran-shinybrowser
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emailjsr_0.0.2-1.ca2004.1_all.deb
Size: 145208
MD5sum: 5e98c7694037133ec8486e1e31ff7811
SHA1: aa60edf671466841fe12b9aa8fec5c1a32df8a58
SHA256: 3bdb9284c1221fedad2942c6a0ab524a138daf5837fad84c0b66bb3915f01209
SHA512: a72a4de1b5e44c1ff4e881e2040de0913c4b86eb1d1dade1ad2e9e798ffed3713f229071f2a63243a4c995ec9c7a7cfeb852ee40897645b42b0fb61f7651c1c5
Homepage: https://cran.r-project.org/package=emailjsr
Description: CRAN Package 'emailjsr' ('emailjs' Support)
 Use 'emailjs' API easily in 'R'. This package is not official.
 <https://www.emailjs.com/docs/rest-api/send/>. You can send e-mail with
 'emailjs' with function, based on 'httr'. You can also make a 'shiny' ui and
 server function. It can be used for making feedback form, inquiry, and so
 on.

Package: r-cran-emailvalidation
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emailvalidation_0.1.0-1.ca2004.1_all.deb
Size: 19628
MD5sum: afd3f907b8f6ee67b6c5f67e2fabd2fb
SHA1: a57ca07a36eb4511567cb56e380a8146053b8d7c
SHA256: 2b5a5c6617d58bb7db40d04de3b44593f34fdd37828a7bee554ce36d41b35b56
SHA512: 7c784d754751f85b78804d25619e4d3e864cf921dd7e6ba83a1789c673c3ec9788480eb087f10b2abade0276dd8580e2ac0a72b2f3427c79f13b5ff77170aaa9
Homepage: https://cran.r-project.org/package=emailvalidation
Description: CRAN Package 'emailvalidation' (Client for the 'emailalvalidation.io' E-Mail Validation API)
 An R client for the 'emailvalidation.io' e-mail verification API. The API
 requires registration of an API key. Basic features are free, some require a
 paid subscription. You can find the full API documentation at
 <https://emailvalidation.io/docs> .

Package: r-cran-emar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emar_1.0.0-1.ca2004.1_all.deb
Size: 19156
MD5sum: 89dea4fbc0265c7aa0fab90f3081fc77
SHA1: ffab15f4b0fd00bec76ecdfc5c834aee9b2c102c
SHA256: 8fedc1ef049614e5036152ed786d59e809596baa057bd19da7e32c9a0ae8fa95
SHA512: bc7591fe52e3950f3e16fdd824e086ffb031ec13d01b8fc415cd8c262ec2a2dff271df4d2f1ecb55e02399209ab0995e333c8dedb819d6b9af97f43159048ac0
Homepage: https://cran.r-project.org/package=EMAR
Description: CRAN Package 'EMAR' (Empirical Model Assessment)
 A tool that allows users to generate various indices for evaluating
 statistical models. The fitstat() function computes indices based on the
 fitting data. The valstat() function computes indices based on the
 validation data set. Both fitstat() and valstat() will return 16 indices
 SSR: residual sum of squares, TRE: total relative error, Bias: mean bias,
 MRB: mean relative bias, MAB: mean absolute bias, MAPE: mean absolute
 percentage error, MSE: mean squared error, RMSE: root mean square error,
 Percent.RMSE: percentage root mean squared error, R2: coefficient of
 determination, R2adj: adjusted coefficient of determination, APC: Amemiya's
 prediction criterion, logL: Log-likelihood, AIC: Akaike information
 criterion, AICc: corrected Akaike information criterion, BIC: Bayesian
 information criterion, HQC: Hannan-Quin information criterion. The lower the
 better for the SSR, TRE, Bias, MRB, MAB, MAPE, MSE, RMSE, Percent.RMSE, APC,
 AIC, AICc, BIC and HQC indices. The higher the better for R2 and R2adj
 indices. Petre Stoica, P., Selén, Y. (2004) <doi:10.1109/MSP.2004.1311138>\n
 Zhou et al. (2023) <doi:10.3389/fpls.2023.1186250>\n Ogana, F.N., Ercanli,
 I. (2021) <doi:10.1007/s11676-021-01373-1>\n Musabbikhah et al. (2019)
 <doi:10.1088/1742-6596/1175/1/012270>.

Package: r-cran-emas
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mediation, r-cran-multilevel, r-bioc-minfi, r-cran-ggplot2, r-cran-qqman, r-cran-lavaan, r-bioc-illuminahumanmethylationepicanno.ilm10b4.hg19, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19
Filename: pool/dists/focal/main/r-cran-emas_0.2.2-1.ca2004.1_all.deb
Size: 239220
MD5sum: 4fac5f0318e6af4bcf832109d31667a7
SHA1: 35f6d9855bc79fe13a080103f8152f5d4ac123f7
SHA256: 75b0a5851945d8e26507f9270571f70f7b0a507671264ce48c97ccb7ef9add5f
SHA512: e2e1f1c45955460dd8f7e998d101639623649881b2e919fa310c3fa10b59d14346605b50fb25c53acb9145bbd353c7053a3217523d0a717deeb260b8e7b29377
Homepage: https://cran.r-project.org/package=EMAS
Description: CRAN Package 'EMAS' (Epigenome-Wide Mediation Analysis Study)
 DNA methylation is essential for human, and environment can change the DNA
 methylation and affect body status. Epigenome-Wide Mediation Analysis Study
 (EMAS) can find potential mediator CpG sites between exposure (x) and
 outcome (y) in epigenome-wide.  For more information on the methods we used,
 please see the following references: Tingley, D. (2014)
 <doi:10.18637/jss.v059.i05>, Turner, S. D. (2018) <doi:10.21105/joss.00731>,
 Rosseel, D. (2012) <doi:10.18637/jss.v048.i02>.

Package: r-cran-ematools
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-datacombine, r-cran-ggplot2, r-cran-lmertest, r-cran-sjstats, r-cran-anytime, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-ematools_0.1.4-1.ca2004.1_all.deb
Size: 37372
MD5sum: dd3d17af20db62e3849ab09e75d561ef
SHA1: 173715bf746f01b4253fdd5a1f2663385396b11d
SHA256: 8aaa16837be69e53b275950983e35b3bda80520da96dd40eeef96e2fbcec2ec3
SHA512: 8300245df25543bb86065d64e83f7b335440b3ed7f1b065cf2603daa73f97455b004897f510d9c7080385fc6829d89c3c2e18e9312d9488f0e4834ddc19421f4
Homepage: https://cran.r-project.org/package=EMAtools
Description: CRAN Package 'EMAtools' (Data Management Tools for Real-Time Monitoring/EcologicalMomentary Assessment Data)
 Do data management functions common in real-time monitoring (also called:
 ecological momentary assessment, experience sampling, micro-longitudinal)
 data, including creating power curves for multilevel data, centering on
 participant means and merging event-level data into momentary data sets
 where you need the events to correspond to the nearest data point in the
 momentary data. This is VERY early release software, and more features will
 be added over time.

Package: r-cran-emayili
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-commonmark, r-cran-curl, r-cran-digest, r-cran-dplyr, r-cran-glue, r-cran-htmltools, r-cran-httr, r-cran-logger, r-cran-magrittr, r-cran-mime, r-cran-purrr, r-cran-rmarkdown, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-urltools, r-cran-xfun, r-cran-xml2
Suggests: r-cran-cld2, r-cran-cld3, r-cran-gpg, r-cran-here, r-cran-jinjar, r-cran-lintr, r-cran-memoise, r-cran-testthat, r-cran-roxygen2, r-cran-showtext, r-cran-microsoft365r
Filename: pool/dists/focal/main/r-cran-emayili_0.9.3-1.ca2004.1_all.deb
Size: 559208
MD5sum: cc07ce75f65f15bd507ff9cc9aecd995
SHA1: 274755b1ba5e702c43f8e7e7a3d66816ef7d7cde
SHA256: fb593096deb860b755cc0646808087997e943d590fce0a92da9731cf5b542d1f
SHA512: 318c8fad303d0b5a7d727db82460da9f8efa83ff0e772b3f9db096bb00893ce5566ae8a12c2e655fcdc7a9726ab8e8e0f3391a9e3bb3f3958baf76cf3597778d
Homepage: https://cran.r-project.org/package=emayili
Description: CRAN Package 'emayili' (Send Email Messages)
 A light, simple tool for sending emails with minimal dependencies.

Package: r-cran-emba
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2079
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-rje, r-cran-igraph, r-cran-visnetwork, r-cran-ckmeans.1d.dp, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-emba_0.1.8-1.ca2004.1_all.deb
Size: 1484888
MD5sum: d9f72aad184346dee109120b8ca42795
SHA1: 440b771ec460e6d1aca9bf1b01d0c5caab7806ee
SHA256: 5706db473951949f7534af1055efb8d7b70ff35d77d10c893cbafc723ba0a4f4
SHA512: cb93a91baf99d8be25cf5208c1f396dc28ff6cd0f83e6c2e275ffb836fe369bb330f8465cfd7e7c0995ab4999b329ea961d0f1e5976f3ba3038f68d90ac85ab2
Homepage: https://cran.r-project.org/package=emba
Description: CRAN Package 'emba' (Ensemble Boolean Model Biomarker Analysis)
 Analysis and visualization of an ensemble of boolean models for biomarker
 discovery in cancer cell networks. The package allows to easily load the
 simulation data results of the DrugLogics software pipeline which predicts
 synergistic drug combinations in cancer cell lines (developed by the
 DrugLogics research group in NTNU). It has generic functions that can be
 used to split a boolean model dataset to model groups with regards to the
 models predictive performance (number of true positive predictions/Matthews
 correlation coefficient score) or synergy prediction based on a given set of
 gold standard synergies and find the average activity difference per network
 node between all model group pairs. Thus, given user-specific thresholds,
 important nodes (biomarkers) can be accessed in the sense that they make the
 models predict specific synergies (synergy biomarkers) or have better
 performance in general (performance biomarkers). Lastly, if the boolean
 models have a specific equation form and differ only in their link operator,
 link operator biomarkers can also be found.

Package: r-cran-embed
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-recipes, r-cran-cli, r-cran-glue, r-cran-dplyr, r-cran-generics, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-uwot, r-cran-withr, r-cran-vctrs
Suggests: r-cran-covr, r-cran-dials, r-cran-ggplot2, r-cran-hardhat, r-cran-irlba, r-cran-keras, r-cran-knitr, r-cran-lme4, r-cran-modeldata, r-cran-rmarkdown, r-cran-rpart, r-cran-rstanarm, r-cran-stringdist, r-cran-tensorflow, r-cran-testthat, r-cran-vbsparsepca, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-embed_1.1.5-1.ca2004.1_all.deb
Size: 384364
MD5sum: aa0744da687eee10d9aa55b3cec3d20c
SHA1: e0f87b3fa61b1f850f38fb3050f85a8504a89645
SHA256: 212262e5f076ceb56e551c1f38fd0d6e53fad89abdf9578ec6d0df57efaf61b9
SHA512: c61cc5f252a07febc5cf9730543076301f47742c8ecc4f533731fc4a1bb6bb2e453ad73f1e9faa6ecd83a76e8883059a77065d999e3208d1aaf33bc25047fc2a
Homepage: https://cran.r-project.org/package=embed
Description: CRAN Package 'embed' (Extra Recipes for Encoding Predictors)
 Predictors can be converted to one or more numeric representations using a
 variety of methods. Effect encodings using simple generalized linear models
 <doi:10.48550/arXiv.1611.09477> or nonlinear models
 <doi:10.48550/arXiv.1604.06737> can be used. There are also functions for
 dimension reduction and other approaches.

Package: r-cran-embryogrowth
Architecture: all
Version: 10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4887
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desolve, r-cran-optimx, r-cran-numderiv, r-cran-ggplot2, r-cran-helpersmg, r-cran-rdpack
Suggests: r-cran-entropy, r-cran-shiny, r-cran-coda, r-cran-polynom, r-cran-car, r-cran-gam, r-cran-pbapply, r-cran-cranlogs, r-cran-mapdata
Filename: pool/dists/focal/main/r-cran-embryogrowth_10.2-1.ca2004.1_all.deb
Size: 4778096
MD5sum: 6520655b775f6fe010bae5c42e3da5f3
SHA1: 5f90a71e45cc4b526f68218d38edb486685e3b4c
SHA256: d6816062a1d4f2cca53dda42e405b9792ec7a23b7c585089f1cada8b62cd0e2c
SHA512: 706959b0aee58f1a783e6f5e464fab8c1e7222ad13fc35a213ef2ef5cf591a801cad295059d2b246db3e91f5e6305b07bbf8fe2fa764eacb58509f1de93a20cf
Homepage: https://cran.r-project.org/package=embryogrowth
Description: CRAN Package 'embryogrowth' (Tools to Analyze the Thermal Reaction Norm of Embryo Growth)
 Tools to analyze the embryo growth and the sexualisation thermal reaction
 norms. See <doi:10.7717/peerj.8451> for tsd functions; see
 <doi:10.1016/j.jtherbio.2014.08.005> for thermal reaction norm of embryo
 growth.

Package: r-cran-emdannhybrid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-emd, r-cran-forecast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emdannhybrid_0.2.0-1.ca2004.1_all.deb
Size: 22952
MD5sum: 5199c0dbbf09e9d6fa5301cb4de3b836
SHA1: a2f4ec490d24ae9e18273eb2efa3bdc8a202dc3f
SHA256: 2da7ffb34600cc4c3f175d75ccbbfd43a06bdfce5d00a037fa6b5d6e1aadce58
SHA512: 879a8617ffb734c499c6ddfbd3a6346499c51d5fee6db3f98d085f130eb40c3db7b4d0edf210a89c8b492b64cdbbe5dc05f5ecc0b2163780077951e1de602403
Homepage: https://cran.r-project.org/package=EMDANNhybrid
Description: CRAN Package 'EMDANNhybrid' (Empirical Mode Decomposition Based Artificial Neural NetworkModel)
 Application of empirical mode decomposition based artificial neural network
 model for nonlinear and non stationary univariate time series forecasting.
 For method details see (i) Choudhury (2019)
 <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=55&issue=1&article=013>;
 (ii) Das (2020)
 <https://www.indianjournals.com/ijor.aspx?target=ijor:ijee3&volume=56&issue=2&article=002>.

Package: r-cran-emdbook
Architecture: all
Version: 1.3.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-lattice, r-cran-plyr, r-cran-coda, r-cran-bbmle
Suggests: r-cran-r2jags, r-cran-ellipse, r-cran-suppdists, r-cran-numderiv, r-cran-testthat, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-emdbook_1.3.13-1.ca2004.1_all.deb
Size: 197420
MD5sum: 222f08e626116df71451bd25408f61a8
SHA1: d0150988a84051df52a769cbeb369cf641294fea
SHA256: a357f43aca55a7cf5f52c27795cd48cb4e6576c53e6f05960fdc0c40dd379aef
SHA512: cd2054cd9889e9ff6d9838d46e08a74a8a7578bc10cdfbd621517706bff96e3c0d2bf6eb078e1c263ae3c11bd234abb88edeee3e1a4ac7073b6e36a19e5316dc
Homepage: https://cran.r-project.org/package=emdbook
Description: CRAN Package 'emdbook' (Support Functions and Data for "Ecological Models and Data")
 Auxiliary functions and data sets for "Ecological Models and Data", a book
 presenting maximum likelihood estimation and related topics for ecologists
 (ISBN 978-0-691-12522-0).

Package: r-cran-emdi
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4821
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-moments, r-cran-ggplot2, r-cran-gridextra, r-cran-openxlsx, r-cran-reshape2, r-cran-stringr, r-cran-parallelmap, r-cran-hlmdiag, r-cran-boot, r-cran-mass, r-cran-readods, r-cran-formula.tools, r-cran-saerobust, r-cran-rlang, r-cran-spdep
Suggests: r-cran-testthat, r-cran-r.rsp, r-cran-simframe, r-cran-laeken, r-cran-sf
Filename: pool/dists/focal/main/r-cran-emdi_2.2.2-1.ca2004.1_all.deb
Size: 4645680
MD5sum: 11f128142512f0081832272f7b13a83e
SHA1: 83f1639d7782b71770bf348ffdf990f4b52d7ae2
SHA256: eefcee14ef8986d659fc6a7b7c4f1206cc3c46f54dfdc6cd9a53ea24820ae4c3
SHA512: 35b0032386293784e1150dd1fbe24d1cbe53fdf21f5f4e7b68be0fdf20f1c7991a3ffd3e14661f355a701afc23f9e6b157d6b6c08323b6858bb4244d08b4e0bc
Homepage: https://cran.r-project.org/package=emdi
Description: CRAN Package 'emdi' (Estimating and Mapping Disaggregated Indicators)
 Functions that support estimating, assessing and mapping regional
 disaggregated indicators. So far, estimation methods comprise direct
 estimation, the model-based unit-level approach Empirical Best Prediction
 (see "Small area estimation of poverty indicators" by Molina and Rao (2010)
 <doi:10.1002/cjs.10051>), the area-level model (see "Estimates of income for
 small places: An application of James-Stein procedures to Census Data" by
 Fay and Herriot (1979) <doi:10.1080/01621459.1979.10482505>) and various
 extensions of it (adjusted variance estimation methods, log and arcsin
 transformation, spatial, robust and measurement error models), as well as
 their precision estimates. The assessment of the used model is supported by
 a summary and diagnostic plots. For a suitable presentation of estimates,
 map plots can be easily created. Furthermore, results can easily be exported
 to excel. For a detailed description of the package and the methods used see
 "The R Package emdi for Estimating and Mapping Regionally Disaggregated
 Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07> and the
 second package vignette "A Framework for Producing Small Area Estimates
 Based on Area-Level Models in R".

Package: r-cran-emdsvrhybrid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-emd, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emdsvrhybrid_0.2.0-1.ca2004.1_all.deb
Size: 22672
MD5sum: 338fc0b70d4946822cb782a51b13d864
SHA1: 8ce140ffd39f80d556a846de1e381ab1377d4c83
SHA256: 5d3a224ffd4fd731825703f7c3e4780c8627b453448baa878c15d79f2bbd63da
SHA512: 2da2ba4bf5492f8651c76159654c1828e8d251f7f3772922a0a0b53f323cd9894fdbfc5226e7f1930f0fb513e4141426a49a98516e21355c6fa7dcc63cb083bc
Homepage: https://cran.r-project.org/package=EMDSVRhybrid
Description: CRAN Package 'EMDSVRhybrid' (Empirical Mode Decomposition Based Support Vector RegressionModel)
 Description: Application of empirical mode decomposition based support
 vector regression model for nonlinear and non stationary univariate time
 series forecasting. For method details see (i) Choudhury (2019)
 <http://krishi.icar.gov.in/jspui/handle/123456789/44873>; (ii) Das (2020)
 <http://krishi.icar.gov.in/jspui/handle/123456789/43174>; (iii) Das (2023)
 <http://krishi.icar.gov.in/jspui/handle/123456789/77772>.

Package: r-cran-emend
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4679
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-jsonlite, r-cran-rlang, r-cran-ellmer
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emend_0.1.0-1.ca2004.1_all.deb
Size: 3630616
MD5sum: 545c2c7c840e1bac521fdb09dbc311e1
SHA1: 782f960b8bcc635f03bd4d0b9a40a846700c8eae
SHA256: b4c7d5512081e5b3dbb1b577bd5f4b936d422ee59b3e8fca4498cd1dc691b451
SHA512: a3b2cd1dea05f05db289f4d9b217d5c3768c894dce1923e38bae136919d26758784fe1c6ace4856964c11ceb9b4f9e951d3de1f678008a64d2136afa70b9ff8d
Homepage: https://cran.r-project.org/package=emend
Description: CRAN Package 'emend' (Cleaning Text Data with an AI Assistant)
 Provides functions to clean and standardize messy data, including textual
 categories and free-text addresses, using Large Language Models. The package
 corrects typos, expands abbreviations, and maps inconsistent entries to
 standardized values. Ideal for Bioinformatics, business, and general data
 cleaning tasks.

Package: r-cran-emery
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-mvtnorm, r-cran-stringr, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emery_0.6.0-1.ca2004.1_all.deb
Size: 374276
MD5sum: fe100a599a7a49726a84d835eecf78fa
SHA1: ae28cac7199e8501a16a4cdcc31f73b525b6e859
SHA256: d6dcabad742f9551d67a728dd9acd088a08ea1371790a0fffbe8778dfde68c13
SHA512: ef99e44efe17f780b8e02b84c54fecb231c9ae351aefcbcdfda858273ea11148074161389ee7c8fc8c3270a9feaae2185ee76a6d9590ce80b008f154814ec808
Homepage: https://cran.r-project.org/package=emery
Description: CRAN Package 'emery' (Accuracy Statistic Estimation for Imperfect Gold Standards)
 Produce maximum likelihood estimates of common accuracy statistics for
 multiple measurement methods when a gold standard is not available. An R
 implementation of the expectation maximization algorithms described in Zhou
 et al. (2011) <doi:10.1002/9780470906514> with additional functions for
 creating simulated data and visualizing results. Supports binary, ordinal,
 and continuous measurement methods.

Package: r-cran-emf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emf_0.1.0-1.ca2004.1_all.deb
Size: 78236
MD5sum: a0f0211e1d8acf867a40fd5422b540bb
SHA1: 77804341a529f761bd52c95fda469cc96086fda6
SHA256: 34d37058cda25d8f5ffad9418e9488beca3ececa7c88b4627213bcd28015a79e
SHA512: c3ec869a467cbc4c80647b46f594af021deae12604c2c01b19e9928b85d20150196cb0f04ae16377c77a3769c13d9915d7b527f87ca5b598830a118e0bee49db
Homepage: https://cran.r-project.org/package=emf
Description: CRAN Package 'emf' (Ecosystem Multifunctionality: Richness, Divergence, andRegularity)
 Analyzes and quantifies ecosystem multifunctionality with functions to
 calculate multifunctionality richness (MFric), multifunctionality divergence
 (MFdiv), and multifunctionality regularity (MFreg). These indices help
 assess the relationship between biodiversity and multiple ecosystem
 functions. For more details, see Byrnes et al. (2014)
 <doi:10.1111/2041-210X.12143> and Chao et al. (2024)
 <doi:10.1111/ele.14336>.

Package: r-cran-emg
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-moments
Filename: pool/dists/focal/main/r-cran-emg_1.0.9-1.ca2004.1_all.deb
Size: 36540
MD5sum: 439ab0a6d45b9291d60c674308377715
SHA1: c59208ad35a7db6dc6f03a8fb2821d2ad098a882
SHA256: 51a740d063a6bfb0382c902516444f5efa8d30d0ba7a4849f96de659fdba938f
SHA512: 21995591b8551cdbc88c3b8c197acf388d22b655ccb921aeff14c75d24514c09a881e957dc1fd2a73c97b5e1866225f0ccabc7aa7691f3acf940c8ee9c6c2510
Homepage: https://cran.r-project.org/package=emg
Description: CRAN Package 'emg' (Exponentially Modified Gaussian (EMG) Distribution)
 Provides basic distribution functions for a mixture model of a Gaussian and
 exponential distribution.

Package: r-cran-emhawkes
Architecture: all
Version: 0.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maxlik
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-misctools, r-cran-v8
Filename: pool/dists/focal/main/r-cran-emhawkes_0.9.7-1.ca2004.1_all.deb
Size: 253144
MD5sum: 94ebaaeb04842e37921afde06451a470
SHA1: b34318cc477f735c1edfb2de0ec08a2da91b39c5
SHA256: 1eb920cc703987b800a0923ae55bf70ebedff0afe7bdeadde3294925f12023a7
SHA512: 6dfc84d2b338d660f5eb019abd43a63646e83dec8156704ce1eaa47d6c79085026993cad779583f6b0909958c5ac7a9dde6c08d9620a3812b8de5d870581887e
Homepage: https://cran.r-project.org/package=emhawkes
Description: CRAN Package 'emhawkes' (Exponential Multivariate Hawkes Model)
 Simulate and fitting exponential multivariate Hawkes model.  This package
 simulates a multivariate Hawkes model, introduced by Hawkes (1971)
 <doi:10.2307/2334319>, with an exponential kernel and fits the parameters
 from the data.  Models with the constant parameters, as well as complex
 dependent structures, can also be simulated and estimated.  The estimation
 is based on the maximum likelihood method, introduced by introduced by Ozaki
 (1979) <doi:10.1007/BF02480272>, with 'maxLik' package.

Package: r-cran-emissv
Architecture: all
Version: 0.665.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2717
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncdf4, r-cran-units, r-cran-raster, r-cran-sf, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-emissv_0.665.9.0-1.ca2004.1_all.deb
Size: 698788
MD5sum: b5bc2447ce1f156f7d99979bf097b5a7
SHA1: 1efd16924fb577e2451d23e2c5ca0fa16b507acd
SHA256: 832e089afc62da1d4c3441cfff7826813ee0a930b3b36144807431f66c40e506
SHA512: b3e233c81741df1cc31388ad473fcdfcc7b8c37ac6034c4e87d7f65e78a07d69621c93f97c891129bf923813ff5ea4122490b448a776a108e410cd867dd965c7
Homepage: https://cran.r-project.org/package=EmissV
Description: CRAN Package 'EmissV' (Tools for Create Emissions for Air Quality Models)
 Processing tools to create emissions for use in numerical air quality
 models. Emissions can be calculated both using emission factors and activity
 data (Schuch et al 2018) <doi:10.21105/joss.00662> or using pollutant
 inventories (Schuch et al., 2018) <doi:10.30564/jasr.v1i1.347>.  Functions
 to process individual point emissions, line emissions and area emissions of
 pollutants are available as well as methods to incorporate alternative data
 for Spatial distribution of emissions such as satellite images
 (Gavidia-Calderon et. al, 2018) <doi:10.1016/j.atmosenv.2018.09.026> or
 openstreetmap data (Andrade et al, 2015) <doi:10.3389/fenvs.2015.00009>.

Package: r-cran-emistatr
Architecture: all
Version: 1.2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-foreach, r-cran-lattice, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-emistatr_1.2.3.0-1.ca2004.1_all.deb
Size: 164316
MD5sum: e9075d72c3d40259d37df56092689e2f
SHA1: fc4764c2621019b932c40c072992301f70da5d09
SHA256: a194f582edb33cef687db2687bfb30a7d4acc131182b58223aa5e72cc52a5d67
SHA512: ac61f4b503a9ccdad319f51710a99c847358d8fb3dd6f8a406d6736dd4967274463ef95a5ad19d6fa6cd3e5380502d32792658308d04a5b809af8496baa61785
Homepage: https://cran.r-project.org/package=EmiStatR
Description: CRAN Package 'EmiStatR' (Emissions and Statistics in R for Wastewater and Pollutants inCombined Sewer Systems)
 Provides a fast and parallelised calculator to estimate combined wastewater
 emissions.  It supports the planning and design of urban drainage systems,
 without the requirement of extensive simulation tools. The 'EmiStatR'
 package implements modular R methods. This enables to add new
 functionalities through the R framework.

Package: r-cran-emjmcmc
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigmemory, r-cran-glmnet, r-cran-biglm, r-cran-hash, r-cran-bas, r-cran-stringi, r-cran-speedglm, r-cran-withr
Suggests: r-cran-testthat, r-cran-bindata, r-cran-clustergeneration, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-emjmcmc_1.5.0-1.ca2004.1_all.deb
Size: 355432
MD5sum: d4053cbede599fea7e5870e9824e87b1
SHA1: ad2e936867940e330efa5739e5148a55afe47df0
SHA256: 761716ca3625669fc81135a9a4ea1b6422a8985be880ee20ed627881ce9c6489
SHA512: ee298a988a7676139451b32367c68b5b98f742979c5faeea6a27d9dc94d683427044efbe3fd8b1dbb0f192051433266d12810f70ef73e69f08b6078db28d9336
Homepage: https://cran.r-project.org/package=EMJMCMC
Description: CRAN Package 'EMJMCMC' (Evolutionary Mode Jumping Markov Chain Monte Carlo ExpertToolbox)
 Implementation of the Mode Jumping Markov Chain Monte Carlo algorithm from
 Hubin, A., Storvik, G. (2018) <doi:10.1016/j.csda.2018.05.020>, Genetically
 Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A., Storvik, G.,
 & Frommlet, F. (2020) <doi:10.1214/18-BA1141>, Hubin, A., Storvik, G., &
 Frommlet, F. (2021) <doi:10.1613/jair.1.13047>, and Hubin, A., Heinze, G., &
 De Bin, R. (2023) <doi:10.3390/fractalfract7090641>, and Reversible
 Genetically Modified Mode Jumping Markov Chain Monte Carlo from Hubin, A.,
 Frommlet, F., & Storvik, G. (2021) <doi:10.48550/arXiv.2110.05316>, which
 allow for estimating posterior model probabilities and Bayesian model
 averaging across a wide set of Bayesian models including linear, generalized
 linear, generalized linear mixed, generalized nonlinear, generalized
 nonlinear mixed, and logic regression models.

Package: r-cran-eml
Architecture: all
Version: 2.0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-digest, r-cran-emld, r-cran-jqr, r-cran-jsonlite, r-cran-uuid, r-cran-rmarkdown, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-taxadb, r-cran-tibble, r-cran-testthat, r-cran-covr, r-cran-units, r-cran-htmlwidgets, r-cran-shiny, r-cran-shinyjs, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-eml_2.0.6.1-1.ca2004.1_all.deb
Size: 774868
MD5sum: 2ea87ba79559821a8693bbbc68d5a235
SHA1: b67a1625b4f7bfae0d8987d2e0967da41ae0390f
SHA256: d3f3a597da95c6c41c360025ffc9acc371e8c2d665c7db02ee46dd86c857d810
SHA512: 52ad90be919a154c92dff84103bbd21522fd913eca6a43b6ffcf56fa01e4d15694f62071d491ba6c829c2faccf7763545d3e153dce4908faa5f966bffb475bd8
Homepage: https://cran.r-project.org/package=EML
Description: CRAN Package 'EML' (Read and Write Ecological Metadata Language Files)
 Work with Ecological Metadata Language ('EML') files.  'EML' is a widely
 used metadata standard in the ecological and environmental sciences,
 described in Jones et al. (2006),
 <doi:10.1146/annurev.ecolsys.37.091305.110031>.

Package: r-cran-emld
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4393
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-jsonlite, r-cran-jsonld, r-cran-yaml
Suggests: r-cran-spelling, r-cran-testthat, r-cran-magrittr, r-cran-rmarkdown, r-cran-covr, r-cran-knitr, r-cran-rdflib, r-cran-jqr
Filename: pool/dists/focal/main/r-cran-emld_0.5.1-1.ca2004.1_all.deb
Size: 323868
MD5sum: ca4db00d7ade17567ff54116e4b25223
SHA1: 235da666ee00768a8d0c6c7d380867ce6ff20c84
SHA256: a683d5b7156ebfb5ab9b5179dca484894f4eee35884490773a9172eb0e89c265
SHA512: df10ea617b4706a867057509326dcbb8f5610ee8a4030d8b837fdc8ed99e069fd687b78989bd0f726b7f400dadb67fcc64df493e750f29c2650b3e66fac35e06
Homepage: https://cran.r-project.org/package=emld
Description: CRAN Package 'emld' (Ecological Metadata as Linked Data)
 This is a utility for transforming Ecological Metadata Language ('EML')
 files into 'JSON-LD' and back into 'EML.'  Doing so creates a list-based
 representation of 'EML' in R, so that 'EML' data can easily be manipulated
 using standard 'R' tools. This makes this package an effective backend for
 other 'R'-based tools working with 'EML.' By abstracting away the complexity
 of 'XML' Schema, developers can build around native 'R' list objects and not
 have to worry about satisfying many of the additional constraints of set by
 the schema (such as element ordering, which is handled automatically).
 Additionally, the 'JSON-LD' representation enables the use of
 developer-friendly 'JSON' parsing and serialization that may facilitate the
 use of 'EML' in contexts outside of 'R,' as well as the informatics-friendly
 serializations such as 'RDF' and 'SPARQL' queries.

Package: r-cran-emleloglin
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-emleloglin_1.0.1-1.ca2004.1_all.deb
Size: 264764
MD5sum: b208f513ab761fc35843f8a0a068af86
SHA1: 7d35554b12122bca04d5d24876de2a9db5f20be5
SHA256: c774f4fb203f1252eebab8cf2945a39014199829b1f953d406ceb4b8b471f8ab
SHA512: 42442b9a5304e75b04289148f240ede0f68d1e88fae4d401aa951dd8c467f070aee63324e68752d30696217f16dcfa25a6802e745ef5549a0c46ba9078d4fd04
Homepage: https://cran.r-project.org/package=eMLEloglin
Description: CRAN Package 'eMLEloglin' (Fitting log-Linear Models in Sparse Contingency Tables)
 Log-linear modeling is a popular method for the analysis of contingency
 table data. When the table is sparse, the data can fall on the boundary of
 the convex support, and we say that "the MLE does not exist" in the sense
 that some parameters cannot be estimated. However, an extended MLE always
 exists, and a subset of the original parameters will be estimable. The
 'eMLEloglin' package determines which sampling zeros contribute to the
 non-existence of the MLE. These problematic zero cells can be removed from
 the contingency table and the model can then be fit (as far as is possible)
 using the glm() function.

Package: r-cran-emli
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emli_0.2.0-1.ca2004.1_all.deb
Size: 44656
MD5sum: 305f85ee83b1a45d1e7e50a4872dbe8b
SHA1: 9ad4abc6193b2108a8552d27a9dfcb1e3be2be3c
SHA256: e922770012decf70c1c45c24e7c2f60599e0abc6106d47b8ebc2603e27497244
SHA512: 37fb42cc23d10fbc10d07d700117a4354e73d44d5c38366bb852e9eea856edf2895ba21e6317830062d9bec3fb325eef4887e0e17ce491432504a4cb6ac6f371
Homepage: https://cran.r-project.org/package=EMLI
Description: CRAN Package 'EMLI' (Computationally Efficient Maximum Likelihood Identification ofLinear Dynamical Systems)
 Provides implementations of computationally efficient maximum likelihood
 parameter estimation algorithms for models that represent linear dynamical
 systems. Currently, one such algorithm is implemented for the
 one-dimensional cumulative structural equation model with shock-error output
 measurement equation and assumptions of normality and independence. The
 corresponding scientific paper is yet to be published, therefore the
 relevant reference will be provided later.

Package: r-cran-emmageo
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gparotation, r-cran-nnls, r-cran-catools, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-emmageo_0.9.9-1.ca2004.1_all.deb
Size: 591212
MD5sum: 35a2e49285ef04e34b5f2f87c1058aac
SHA1: e225d219e4496598f5bec8e62f7c6e49a9e72b76
SHA256: 7bae767c5ee4c97e1a0259621e0bd893460c51942eb977a83d675ab1bbcfeb26
SHA512: a8222ea012960811392d69855f36548e626b36e56da107c8ef6d66419a6d4cc4ae8b980ff2c40353bc45d9b1548caa9a253b3c682a27b416fe358a484b6cdfa2
Homepage: https://cran.r-project.org/package=EMMAgeo
Description: CRAN Package 'EMMAgeo' (End-Member Modelling of Grain-Size Data)
 End-member modelling analysis of grain-size data is an approach to unmix a
 data set's underlying distributions and their contribution to the data set.
 EMMAgeo provides deterministic and robust protocols for that purpose.

Package: r-cran-emme2
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-emme2_0.9-1.ca2004.1_all.deb
Size: 46600
MD5sum: 9bc3651bbae38ea04703e729350b2813
SHA1: 14c7a616a61e12e56a23786d3f972ac97dbedf2f
SHA256: 7270577522fa5ae4cad0de24a3b6ccdfa3c57ff522386b9b808cf37e82289f27
SHA512: 882ad6c9d846ad87c187c7212a411962f4c8040ed14c9bdf87fdaefafd10e358d0d5d3912051486a2221a785b4dd8e2a2f97c5266bae457762f2c023a775dcf9
Homepage: https://cran.r-project.org/package=emme2
Description: CRAN Package 'emme2' (Read and Write to an EMME/2 databank)
 This package includes functions to read and write to an EMME/2 databank

Package: r-cran-emmeans
Architecture: all
Version: 1.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3187
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-estimability, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-bayesplot, r-cran-bayestestr, r-cran-biglm, r-cran-brms, r-cran-car, r-cran-coda, r-cran-compositions, r-cran-ggplot2, r-cran-knitr, r-cran-lattice, r-cran-lme4, r-cran-lmertest, r-cran-logspline, r-cran-mass, r-cran-mediation, r-cran-mgcv, r-cran-multcomp, r-cran-multcompview, r-cran-mumin, r-cran-nlme, r-cran-ordinal, r-cran-pbkrtest, r-cran-rmarkdown, r-cran-rsm, r-cran-sandwich, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-emmeans_1.11.1-1.ca2004.1_all.deb
Size: 2058416
MD5sum: 7f4519bbc8c3a808ae8512473242c81b
SHA1: a4790d741337f222c4eb0afded7836236f4d1ab6
SHA256: 436c3fd215a0d80e96def696715630c35a28ea7dcb74966e3a79fbbe44fab381
SHA512: 1aee02804393a5f5bc447728ae04d3f7d285b5da477421131a3c618edeaf09e001bfb2f871e4b840d307a19679198954f5b6800abde694b93645b3e9d5264c41
Homepage: https://cran.r-project.org/package=emmeans
Description: CRAN Package 'emmeans' (Estimated Marginal Means, aka Least-Squares Means)
 Obtain estimated marginal means (EMMs) for many linear, generalized linear,
 and mixed models. Compute contrasts or linear functions of EMMs, trends, and
 comparisons of slopes. Plots and other displays.  Least-squares means are
 discussed, and the term "estimated marginal means" is suggested, in Searle,
 Speed, and Milliken (1980) Population marginal means in the linear model: An
 alternative to least squares means, The American Statistician 34(4), 216-221
 <doi:10.1080/00031305.1980.10483031>.

Package: r-cran-emmixssl
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-emmixssl_1.1.1-1.ca2004.1_all.deb
Size: 302772
MD5sum: cff2f5f591ed4d27ca22d3b3d8f45afc
SHA1: 863321ff7df03f96d9ce965db7805a5389dd6caa
SHA256: 7c9242c37ca9b26dc0ea902a495dc3f61aad8158db90882e8f6c9820fc039978
SHA512: 5cdff74b2e65353ae67d60af0bd75b7dd7de2623c45f93e461ca4fd74d5b1029c777fea21df775914e44e28511c02fda37efb263acb3de389586f10b017874d8
Homepage: https://cran.r-project.org/package=EMMIXSSL
Description: CRAN Package 'EMMIXSSL' (Semi-Supervised Gaussian Mixture Model with a Missing-DataMechanism)
 The algorithm of semi-supervised learning based on finite Gaussian mixture
 models with a missing-data mechanism is designed for a fitting g-class
 Gaussian mixture model via maximum likelihood (ML). It is proposed to treat
 the labels of the unclassified features as missing-data and to introduce a
 framework for their missing as in the pioneering work of Rubin (1976) for
 missing in incomplete data analysis. This dependency in the missingness
 pattern can be leveraged to provide additional information about the optimal
 classifier as specified by Bayes’ rule.

Package: r-cran-emmli
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emmli_0.0.3-1.ca2004.1_all.deb
Size: 73348
MD5sum: f9198b2077853f70af9ea15e2b44c1fb
SHA1: f825a3f1ac9d116536dfdc1fedd15e7de11c4a76
SHA256: 742596f8142628da6c3ee2cf7eb63d0393c2f9d5a4c341f0b9819feb57d3db90
SHA512: de7d46467684636e811bf5271f42408ebd4902d30d88b73f33b705e13184a973bce57f001cd46c9032950b0428d5f384f3fcbb88680c28825882a272dab4e119
Homepage: https://cran.r-project.org/package=EMMLi
Description: CRAN Package 'EMMLi' (A Maximum Likelihood Approach to the Analysis of Modularity)
 Fit models of modularity to morphological landmarks. Perform model selection
 on results. Fit models with a single within-module correlation or with
 separate within-module correlations fitted to each module.

Package: r-cran-emmreml
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-emmreml_3.1-1.ca2004.1_all.deb
Size: 46348
MD5sum: 971e44b0596f013d0f3e9f71be62128f
SHA1: d948ddc856e14908ab7329e50e33eb11ab033c20
SHA256: 48093fa8e79eac1a124b6686e790d9c93cffd9eac1f2668abee81e9c6f5a8187
SHA512: 0b7f0430e5d303c2c3bd097806450d46aeb5d8d4678ea4a5703df4a7dfe581a0097c25099dd2e4c21be644035bc870d79c06529dd6930a0e485e23885289fb7e
Homepage: https://cran.r-project.org/package=EMMREML
Description: CRAN Package 'EMMREML' (Fitting Mixed Models with Known Covariance Structures)
 The main functions are 'emmreml', and 'emmremlMultiKernel'. 'emmreml' solves
 a mixed model with known covariance structure using the 'EMMA' algorithm.
 'emmremlMultiKernel' is a wrapper for 'emmreml' to handle multiple random
 components with known covariance structures. The function
 'emmremlMultivariate' solves a multivariate gaussian mixed model with known
 covariance structure using the 'ECM' algorithm.

Package: r-cran-emoji
Architecture: all
Version: 16.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emoji_16.0.0-1.ca2004.1_all.deb
Size: 431608
MD5sum: 17ee7ff5149715378cf246402649b9fe
SHA1: 30515534edb1e1a2efe12f219b371ff5b18324b7
SHA256: 23c505a444f93e00b98b9e1dd82d78380b5b66ca5926af996bea5e0d11a7569c
SHA512: 925d719a5d599dd637e3371228bb0ffb883a85574a8b57983b5b9a459f3acb5624be44de51f431db3eb782553a01b46fae8ed990bc5c37592d5fe71af5009eb4
Homepage: https://cran.r-project.org/package=emoji
Description: CRAN Package 'emoji' (Data and Function to Work with Emojis)
 Contains data about emojis with relevant metadata, and functions to work
 with emojis when they are in strings.

Package: r-cran-emojifont
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-proto, r-cran-showtext, r-cran-sysfonts
Suggests: r-cran-colorspace, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-emojifont_0.5.5-1.ca2004.1_all.deb
Size: 2844868
MD5sum: 8af976793045d24b396f3fd46cbb1016
SHA1: 832c52b05c5101fc619d726f095f05dad69d9661
SHA256: e71f818ddb23b0eea69d8660b58d04defe9b780b1aacebccd3ab4a0e72387c3f
SHA512: 052e552107773887725752b9a7160f7db1b5dcf98b21b8fd3b56583fccc27fab6b0e2fc4116f7c53783bcbde23c0931139dc3ada6a692b3f4d91a64c76e0f6ae
Homepage: https://cran.r-project.org/package=emojifont
Description: CRAN Package 'emojifont' (Emoji and Font Awesome in Graphics)
 An implementation of using emoji and fontawesome for using in both base and
 'ggplot2' graphics.

Package: r-cran-emon
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-mass
Filename: pool/dists/focal/main/r-cran-emon_1.3.2-1.ca2004.1_all.deb
Size: 139540
MD5sum: 7cd2b267c8c17440509c5dd7e23e37c5
SHA1: 9c63a080ba5eaf0f4d061fe0d61ba112afc62924
SHA256: 273f8cecd62177519859d36f511874190b764fad1ce3edac63397ad3c77fc6be
SHA512: 5bf08600540ea615adfb84ea41aa2ffba11181f2c426765156e2f2907dc5e67293533d895b5e61b5d747ad36e1aeca0bc67500aba4968baeb39e737d4647016c
Homepage: https://cran.r-project.org/package=emon
Description: CRAN Package 'emon' (Tools for Environmental and Ecological Survey Design)
 Statistical tools for environmental and ecological surveys.
 Simulation-based power and precision analysis; detection probabilities from
 different survey designs; visual fast count estimation.

Package: r-cran-emotions
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-orthopolynom, r-cran-quantreg, r-cran-minpack.lm, r-cran-tidyr, r-cran-ggplot2, r-cran-ggridges, r-cran-parameters, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emotions_1.0-1.ca2004.1_all.deb
Size: 326292
MD5sum: ba9e8e50f900ed56369a826aae5f668a
SHA1: 44ac7b9ec202d9d7225f199c50ed3108f5a82e17
SHA256: 6ed23988ad0e69765812fc788a258c65acd54ef9453ddece6dd591ebebad0352
SHA512: 89c5c294a6bbc98f511c0240da63791924dfa51e5b940eb6de6f0a7061c72159efad6303e48131c50b9aa4452632c25ae5998f8c1bba055eaaf18f33f8f1fe34
Homepage: https://cran.r-project.org/package=EMOTIONS
Description: CRAN Package 'EMOTIONS' ('EMOTIONS: Ensemble Models for Lactation Curves')
 Lactation curve modeling plays a central role in dairy production,
 supporting management decisions and the selection of animals with superior
 productivity and resilience. The package 'EMOTIONS' fits 47 models for
 lactation curves and creates ensemble models using model averaging based on
 Akaike information criterion, Bayesian information criterion, root mean
 square percentage error, and mean squared error, variance of the
 predictions, cosine similarity for each model's predictions, and Bayesian
 Model Average. The daily production values predicted through the ensemble
 models can be used to estimate resilience indicators in the package.
 Additionally, the package allows the graphical visualization of the model
 ranks and the predicted lactation curves.

Package: r-cran-emov
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emov_0.1.1-1.ca2004.1_all.deb
Size: 66960
MD5sum: f19c3fa1f4ebdfcb23d9eb542ad6a9c2
SHA1: 4c09701b49ce3107e17c0eae4e47a9d813ceec13
SHA256: df90ae096dd9cca659b41388283f6e9fda87749b85ccbd9d597ebda775ec44f6
SHA512: 277e04342d6c2e8303377b36923ae082dec8b19d51a9241e16c3fbad864ef84a9bca119c42de3ef25689ce41630b1a79dac515bdc6271fb1a9cf420e1d917c4e
Homepage: https://cran.r-project.org/package=emov
Description: CRAN Package 'emov' (Eye Movement Analysis Package for Fixation and Saccade Detection)
 Fixation and saccade detection in eye movement recordings. This package
 implements a dispersion-based algorithm (I-DT) proposed by Salvucci &
 Goldberg (2000) which detects fixation duration and position.

Package: r-cran-emp
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-emp_2.0.6-1.ca2004.1_all.deb
Size: 24664
MD5sum: c9fb6a8f0a6910b612a9006f643bd2b6
SHA1: a84b7cbbcf0bd0b6a14d894a72153e94f203950e
SHA256: 50eda3fb467643171b709029bc0d4f7faaf05462db8eb9ff0df02ed59a347593
SHA512: 0c2519903df913e847699de355f6ba2a3cad431d9a860edd13114618fe9f04f496d322727c556c7ef8a1d82f6cc89e7a77f3ae1ff23f8518d7e438493a3d7a24
Homepage: https://cran.r-project.org/package=EMP
Description: CRAN Package 'EMP' (Expected Maximum Profit Classification Performance Measure)
 Functions for estimating EMP (Expected Maximum Profit Measure) in Credit
 Risk Scoring and Customer Churn Prediction, according to Verbraken et al
 (2013, 2014) <DOI:10.1109/TKDE.2012.50>, <DOI:10.1016/j.ejor.2014.04.001>.

Package: r-cran-empeaksr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-empeaksr_0.3.1-1.ca2004.1_all.deb
Size: 98148
MD5sum: 502223bc1acc01685786b1ca6bbb7255
SHA1: 3e94e3c677b7249897c1484ffad5e15e42e5a9ef
SHA256: b16ae5c3de5456c4466d699c6e097eb9948b7dca5ac7b614a7d58922974838c7
SHA512: 66ba86d8b3691fb3626ce7badbde7da4895b0c4b7686be4b91e87caf593c2d31e7f107ccb259b1251196191e49018f562cc6e7f5e865627fb1a1bd0c97e6b3fe
Homepage: https://cran.r-project.org/package=EMpeaksR
Description: CRAN Package 'EMpeaksR' (Conducting the Peak Fitting Based on the EM Algorithm)
 The peak fitting of spectral data is performed by using the frame work of EM
 algorithm. We adapted the EM algorithm for the peak fitting of spectral data
 set by considering the weight of the intensity corresponding to the
 measurement energy steps (Matsumura, T., Nagamura, N., Akaho, S., Nagata,
 K., & Ando, Y. (2019, 2021 and 2023) <doi:10.1080/14686996.2019.1620123>,
 <doi:10.1080/27660400.2021.1899449> <doi:10.1080/27660400.2022.2159753>. The
 package efficiently estimates the parameters of Gaussian mixture model
 during iterative calculation between E-step and M-step, and the parameters
 are converged to a local optimal solution. This package can support the
 investigation of peak shift with two advantages: (1) a large amount of data
 can be processed at high speed; and (2) stable and automatic calculation can
 be easily performed.

Package: r-cran-emphatic
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 778
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-purrr, r-cran-testthat, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-emphatic_0.1.8-1.ca2004.1_all.deb
Size: 169768
MD5sum: f41d78ea5ba664ae88d43b7a7c05e53b
SHA1: 0f891b194cff45f85ee9586088f91ad47f7f4937
SHA256: 945c4ec3743f9477463018c93ec5ccad7fa0f44177267831ebbac5afc75d99c6
SHA512: 244e87af02a65dff713acb75dcceb3073d0ee8a5dbd51a7952696f2b99b24e174311f4d56eeec920d21dea82aea475d412cec8342e50d59ea14a27a0a8ed2742
Homepage: https://cran.r-project.org/package=emphatic
Description: CRAN Package 'emphatic' (Exploratory Analysis of Tabular Data using Colour Highlighting)
 Tools for exploratory analysis of tabular data using colour highlighting.
 Highlighting is displayed in any console supporting 'ANSI' colours, and can
 be converted to 'HTML', 'typst', 'latex' and 'SVG'.  'quarto' and
 'rmarkdown' rendering are directly supported. It is also possible to add
 colour to regular expression matches and highlight differences between two
 arbitrary R objects.

Package: r-cran-empiricalfdr.deseq2
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-deseq2, r-bioc-genomicranges
Filename: pool/dists/focal/main/r-cran-empiricalfdr.deseq2_1.0.3-1.ca2004.1_all.deb
Size: 32792
MD5sum: 52f9aaddbfd83b110f74705467c53f9e
SHA1: 3e03e55d31e5489371858aabbeb3aaec45a92787
SHA256: 596bd866bc8671450a55fa86fab042e0f3acda8e55dca7008652b9b0df4a8510
SHA512: e2c44b81ad869e348d819a7cdce717dd6e90d129ca173fc801ca13bd0e0adf3f20bbfaeb8c5f8ead45d90ef6815cb3cba4e1aba231cd1b854bb886eff6798abe
Homepage: https://cran.r-project.org/package=empiricalFDR.DESeq2
Description: CRAN Package 'empiricalFDR.DESeq2' (Simulation-Based False Discovery Rate in RNA-Seq)
 Auxiliary functions for the DESeq2 package to simulate read counts according
 to the null hypothesis (i.e., with empirical sample size factors, per-gene
 total counts and dispersions, but without effects of predictor variables)
 and to compute the empirical false discovery rate.

Package: r-cran-emplik2
Architecture: all
Version: 1.33-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emplik2_1.33-1.ca2004.1_all.deb
Size: 81820
MD5sum: f1c2f3275e52f0c99c4b6df954c7897a
SHA1: df4332f44d6d11e03e9c8f2c538bdae731ada740
SHA256: 69169292cdd8b821487aa435a82a957e26c85626856572c771c9cdb7b12d7bfe
SHA512: e4da7f9bece9974888687d2112eedd2d14f46ae135c3513652c312d3b80a66c663183625b80c15bb5fdd5cfba3e4dc83919dee1e9e5c264c459b7306fa4b8a1e
Homepage: https://cran.r-project.org/package=emplik2
Description: CRAN Package 'emplik2' (Empirical Likelihood Ratio Test for Two-Sample U-Statistics withCensored Data)
 Calculates the empirical likelihood ratio and p-value for a mean-type
 hypothesis (or multiple mean-type hypotheses) based on two samples with
 possible censored data.

Package: r-cran-emplikauc
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emplik2, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-emplikauc_0.4-1.ca2004.1_all.deb
Size: 439064
MD5sum: 5580e5f9213553297b6551ab8ca4a9b0
SHA1: c38bbb1e8dde3eb1bd7647844692a63a9f234129
SHA256: c0f8a0d4d937ff1a92fb29938f18c5c3b2d8d33d3b985708efb4488e1e30109a
SHA512: c7db4f756595e736264808db5e2c5c7cb61e11d3f5ff88dfedfedad5eea758132ab0fb8136d95e2d11dcddb952f1dbeadd36f55d198f89174d06e7b2923934ae
Homepage: https://cran.r-project.org/package=emplikAUC
Description: CRAN Package 'emplikAUC' (Empirical Likelihood Ratio Test/Confidence Interval for AUC orpAUC)
 Test hypotheses and construct confidence intervals for AUC (area under
 Receiver Operating Characteristic curve) and pAUC (partial area under ROC
 curve), from the given two samples of test data with disease/healthy
 subjects. The method used is based on TWO SAMPLE empirical likelihood and
 PROFILE empirical likelihood, as described in
 <https://www.ms.uky.edu/~mai/research/eAUC1.pdf>.

Package: r-cran-ems
Architecture: all
Version: 1.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-survival, r-cran-rms
Filename: pool/dists/focal/main/r-cran-ems_1.3.11-1.ca2004.1_all.deb
Size: 716916
MD5sum: e03a7abb13bd63768e128b47bfabbf56
SHA1: 054b9ca668a730d3897b44bd34c610bd75f78f1e
SHA256: 1e7cd77be9bcbf2bb715aca716f9d0edec4340fc7a4e3576fddf84f8dc541cbe
SHA512: 519cbb923b9e5640a6d80f21d49ab971a8728d5f216a17579bfe3a4d63c15c9a6027a22ad5346347e865ecbb81bbb3cb9bdfa9b360ca452cb458bcafa3e253ce
Homepage: https://cran.r-project.org/package=ems
Description: CRAN Package 'ems' (Epimed Solutions Collection for Data Editing, Analysis, andBenchmark of Health Units)
 Collection of functions related to benchmark with prediction models for data
 analysis and editing of clinical and epidemiological data.

Package: r-cran-emsaov
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-emsaov_2.3-1.ca2004.1_all.deb
Size: 71236
MD5sum: 8e7cc69cf29d4416f84e7a661fe574d9
SHA1: a72e892341f9cc71840c1accbea75484420ba899
SHA256: 744cf27464fda29dfc9cb455f593d12dda87895a80cb4569fa2b5de2b23a85dd
SHA512: 2228c58c4d1bd5fa0c6451aabd8cfa0bd6d764d9c443bf9db7185a8c64f30ceb447199697616ddf0c15cdc66b28ef72124f311edcc7797a10cd91e59a0d82d9e
Homepage: https://cran.r-project.org/package=EMSaov
Description: CRAN Package 'EMSaov' (The Analysis of Variance with EMS)
 Provides the analysis of variance table including the expected mean squares
 (EMS) for various types of experimental design. When some variables are
 random effects or we use special experimental design such as nested design,
 repeated-measures design, or split-plot design, it is not easy to find the
 appropriate test, especially denominator for F-statistic which depends on
 EMS.

Package: r-cran-emsc
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3695
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-emsc_0.9.4-1.ca2004.1_all.deb
Size: 1888320
MD5sum: 550a8327ae32c876b50cdd7be05862d3
SHA1: 9b6e744b8fba357330d8d19a6eef6ff68a387478
SHA256: 19e6f138ad75fbcdd61087ff82ba282b0da3494d45d14151654d69d229702524
SHA512: 9b55277702f715aca06260af022f04d05f21063d105930ca337572963db2bc74b23d28638fd682ce012852957f89db8f9425e21431832e265879485c17b2909e
Homepage: https://cran.r-project.org/package=EMSC
Description: CRAN Package 'EMSC' (Extended Multiplicative Signal Correction)
 Background correction of spectral like data. Handles variations in scaling,
 polynomial baselines, interferents, constituents and replicate variation.
 Parameters for corrections are stored for further analysis, and spectra are
 corrected accordingly.

Package: r-cran-emsnm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emsnm_1.0-1.ca2004.1_all.deb
Size: 64832
MD5sum: b2d7ba3754739c641d5b389a8936f119
SHA1: 3933eafd5fb0b2973a6ff538f8686e9284f69cc7
SHA256: 6a17af3790795a28c7f13e63b7922bcbf5fd6f53192cdcd254ad2f39d2df8b55
SHA512: dc91e227de4031be3d6f1a718f486bc9f83e79f495e7fdb8e2deff6fc47bada90e10985b4144cecd9c4e72a593cc4bbf027a848d9725face4044d1e745db1f97
Homepage: https://cran.r-project.org/package=EMSNM
Description: CRAN Package 'EMSNM' (EM Algorithm for Sigmoid Normal Model)
 It provides a method based on EM algorithm to estimate the parameter of a
 mixture model, Sigmoid-Normal Model, where the samples come from several
 normal distributions (also call them subgroups) whose mean is determined by
 co-variable Z and coefficient alpha while the variance are homogeneous.
 Meanwhile, the subgroup each item belongs to is determined by co-variables X
 and coefficient eta through Sigmoid link function which is the extension of
 Logistic Link function. It uses bootstrap to estimate the standard error of
 parameters. When sample is indeed separable, removing estimation with
 abnormal sigma, the estimation of alpha is quite well. I used this method to
 explore the subgroup structure of HIV patients and it can be used in other
 domains where exists subgroup structure.

Package: r-cran-emss
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sampleselection, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-emss_1.1.1-1.ca2004.1_all.deb
Size: 80384
MD5sum: 006c4c8bd81159c7849dc99895866e74
SHA1: 541dbe9309a36a8cd868faf60f615938aae96b8a
SHA256: cc1c96ffa11dd58e6136dff85935e00013bbf704002e20df5ec8f6a9571f5d11
SHA512: 741955201e437d272b603a39889384c7b115bf305375158dd7dc625dec05baa199c122612698b6124129c0e8acc223186a53190130e88bc2e0bcad8e6d819c67
Homepage: https://cran.r-project.org/package=EMSS
Description: CRAN Package 'EMSS' (Some EM-Type Estimation Methods for the Heckman Selection Model)
 Some EM-type algorithms to estimate parameters for the well-known Heckman
 selection model are provided in the package. Such algorithms are as follow:
 ECM(Expectation/Conditional Maximization), ECM(NR)(the Newton-Raphson method
 is adapted to the ECM) and ECME(Expectation/Conditional Maximization
 Either). Since the algorithms are based on the EM algorithm, they also have
 EM’s main advantages, namely, stability and ease of implementation. Further
 details and explanations of the algorithms can be found in Zhao et al.
 (2020) <doi: 10.1016/j.csda.2020.106930>.

Package: r-cran-emstreer
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mlpack, r-cran-scatterplot3d, r-cran-ggplot2, r-cran-sf
Filename: pool/dists/focal/main/r-cran-emstreer_3.1.2-1.ca2004.1_all.deb
Size: 48088
MD5sum: c0d3d557e270388fc21d76be675ef83a
SHA1: d071b8b65fa66450f18a0ed317f71e99d7b7000c
SHA256: 9a8ba8bd50789cd0138e2e2fbcc957a94a42857ee5554c5186b3b1c9920ac161
SHA512: e3e42f92042cedf68d83c221e55e26dc35aafeaedd40079e602c8275d78c20953122947810fce43ea0fbfe0ac36b3362ff894149cb210cd9ac02ef30613be504
Homepage: https://cran.r-project.org/package=emstreeR
Description: CRAN Package 'emstreeR' (Tools for Fast Computing and Visualizing Euclidean MinimumSpanning Trees)
 Fast and easily computes an Euclidean Minimum Spanning Tree (EMST) from
 data, relying on the R API for 'mlpack' - the C++ Machine Learning Library
 (Curtin et. al., 2013).  'emstreeR' uses the Dual-Tree Boruvka (March, Ram,
 Gray, 2010, <doi:10.1145/1835804.1835882>), which is theoretically and
 empirically the fastest algorithm for computing an EMST. This package also
 provides functions and an S3 method for readily visualizing Minimum Spanning
 Trees (MST) using either the style of the 'base', 'scatterplot3d', or
 'ggplot2' libraries; and functions to export the MST output to shapefiles.

Package: r-cran-emt
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-emt_1.3.1-1.ca2004.1_all.deb
Size: 37836
MD5sum: 1dbd61ecc349fb9d3089fecbc25e85ce
SHA1: ad850cf57b83089d8c1d7fdd734cb4c3495ee39f
SHA256: ba003cd75b64541a58127739bb8922669b52f19eb7f0404190cd7e9f1a0eaa5b
SHA512: 3eed9a8d65f429c12dcc002809a1b8e5d9230c254c9f552551d56a53524a4413f8d3287fc45c96ce7e28bacea7bf440e08aae614fb864adf554383df970a6883
Homepage: https://cran.r-project.org/package=EMT
Description: CRAN Package 'EMT' (Exact Multinomial Test: Goodness-of-Fit Test for DiscreteMultivariate Data)
 Goodness-of-fit tests for discrete multivariate data. It is tested if a
 given observation is likely to have occurred under the assumption of an
 ab-initio model. Monte Carlo methods are provided to make the package
 capable of solving high-dimensional problems.

Package: r-cran-emtscore
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-bioc-aucell, r-bioc-gsva, r-cran-ggpubr, r-bioc-complexheatmap, r-cran-circlize, r-cran-gridextra, r-cran-magrittr, r-cran-gsa, r-cran-nsprcomp, r-cran-stringr, r-cran-foreach, r-cran-doparallel, r-cran-seurat, r-cran-pheatmap, r-cran-paletteer, r-cran-ggthemes, r-cran-curl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emtscore_0.1.1-1.ca2004.1_all.deb
Size: 58432
MD5sum: f89a2b50d39c597b1525b9e03d18fd91
SHA1: 7d47cd583180a46abe4f385c8a93a0c4c105d548
SHA256: 208922350def1b3669f9bf9ce60f772794583d2c410b692d0436d29aae177da7
SHA512: 2f77248a01b8c0f63aee0a5fed585bb319b7ed09b6bc78eafc6955887139f8e7cd5cfb59da06a5dc871afdae55bf6c5b64f53c8546f27ca6505c1f9f2c838f01
Homepage: https://cran.r-project.org/package=EMTscore
Description: CRAN Package 'EMTscore' (Calculate 'EMT' Scores Based on 'Omics' Data)
 Epithelial-Mesenchymal transition ('EMT') is an important form of cellular
 plasticity that is fully or partially activated in several biological
 scenarios including development and disease progression. 'EMT' involves
 altered expression of hundreds of protein-coding and non-protein-coding
 genes. Recent studies showed the prevalence of partial 'EMT' in multiple
 processes such as various cancers and organ fibrosis, which necessitates
 rigorous quantification of the degree of 'EMT'. While traditional gene set
 scoring methods such as gene set variation analysis have been used to
 generate 'EMT' scores from omics data, multiple 'EMT' scoring algorithms and
 'EMT' gene sets have been used by different groups without standardization.
 Furthermore, comparisons of 'EMT' scores computed from different methods
 and/or different EMT gene sets are generally difficult due to both the
 context dependent nature of 'EMT' and the lack of tools that comprehensively
 integrate varying components for 'EMT' scoring. To address this problem, we
 have built a toolbox named 'EMTscore' that enables users to select scoring
 methods from a list of previously used algorithms and 'EMT' gene sets from a
 list of gene sets produced from different experiments. We provided several
 visualization methods for making publication quality plots of 'EMT' scores
 from 'omics' data. Furthermore, we showed a unique utility of a method based
 on principal component analysis for scoring divergent 'EMT' processes from a
 single dataset. Overall, 'EMTscore' provides an integrated solution for
 assessing the degree and complexity of 'EMT' from 'omics' data, and it paves
 the way for standardizing the comparison of EMT programs across multiple
 contexts.

Package: r-cran-emulator
Architecture: all
Version: 1.2-24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emulator_1.2-24-1.ca2004.1_all.deb
Size: 322700
MD5sum: 3471b59126ea4b13c1f2d1eb48c347de
SHA1: 5265f684985eaf46caed7d89a68e64485824d51a
SHA256: e4b8ad02e93c50450959eba97b38290cb90fb0dd1bb64a464b4317af9680d0d0
SHA512: 2b987d8f9cebac5e806baa8d15771f6623547ae99c67c22ff03833bf8e66a7c092e5395eb10895da2c8d52a6af3c99a64a1453547b062aec68685eef3b6cbb4e
Homepage: https://cran.r-project.org/package=emulator
Description: CRAN Package 'emulator' (Bayesian Emulation of Computer Programs)
 Allows one to estimate the output of a computer program, as a function of
 the input parameters, without actually running it.  The computer program is
 assumed to be a Gaussian process, whose parameters are estimated using
 Bayesian techniques that give a PDF of expected program output.  This PDF is
 conditional on a training set of runs, each consisting of a point in
 parameter space and the model output at that point.  The emphasis is on
 complex codes that take weeks or months to run, and that have a large number
 of undetermined input parameters; many climate prediction models fall into
 this class.  The emulator essentially determines Bayesian posterior
 estimates of the PDF of the output of a model, conditioned on results from
 previous runs and a user-specified prior linear model.  The package includes
 functionality to evaluate quadratic forms efficiently.

Package: r-cran-emur
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3585
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-stringr, r-cran-uuid, r-cran-base64enc, r-cran-shiny, r-cran-wrassp, r-cran-jsonlite, r-cran-rsqlite, r-cran-dbi, r-cran-httpuv, r-cran-dplyr, r-cran-readr, r-cran-tibble, r-cran-purrr, r-cran-tidyr, r-cran-mime, r-cran-rstudioapi, r-cran-httr, r-cran-v8, r-cran-cli
Suggests: r-cran-mass, r-cran-ggplot2, r-cran-testthat, r-cran-compare, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-emur_2.5.0-1.ca2004.1_all.deb
Size: 2702048
MD5sum: 1c51c2bea84ad4fb980acecbcc096c55
SHA1: 8822fdfefbc3bc0d71b8afd1d98fb2ad792e1b82
SHA256: e164627aa1dbe46510b813cabfe7dc9c0d3d33365c5bd7f4adc779a8b193b22e
SHA512: 7c987ebedbd0d80dea2e386c2aabdb5a9e63880ca0e452055a0ad8f09a197edc11ec129ea49412d6c1744e5611c45f65564a6432ff89201cd47204e5e478281a
Homepage: https://cran.r-project.org/package=emuR
Description: CRAN Package 'emuR' (Main Package of the EMU Speech Database Management System)
 Provide the EMU Speech Database Management System (EMU-SDMS) with database
 management, data extraction, data preparation and data visualization
 facilities. See <https://ips-lmu.github.io/The-EMU-SDMS-Manual/> for more
 details.

Package: r-cran-encdna
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-encdna_1.0.2-1.ca2004.1_all.deb
Size: 164448
MD5sum: a53b7e58b1d289d6d850e10389298467
SHA1: 68393dff21c5218fca8188721ce15a544a9aa3ea
SHA256: 435505c4691a81b50452137d670066d2e46fe1fe094d97d781ff2bdbf40a390b
SHA512: 646e3e8e6720c9af31328a210c26c1107ab004c624cd1b421ba5910b9bdf53b5add7dcc6dc11fcf81a0aa5c44457ba0401d2fc558c32e370bb3b875f8c5a622f
Homepage: https://cran.r-project.org/package=EncDNA
Description: CRAN Package 'EncDNA' (Encoding of Nucleotide Sequences into Numeric Feature Vectors)
 We describe fifteen different splice site sequence encoding schemes that
 have been used in earlier studies for mapping of splice site sequences into
 numeric feature vectors. These encoding schemes will also be helpful for
 transforming other nucleotide sequences into numeric forms, provided they
 are of equal length. These encoding schemes will help the computational
 biologist working in the field of classification (binary or multiclass) or
 prediction involving nucleic acid sequences of equal length.

Package: r-cran-encode
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-encode_0.3.6-1.ca2004.1_all.deb
Size: 44260
MD5sum: a3ba9775e312d12b783a70ccd13ea0f5
SHA1: c112fa9b664931ca188e0dcac1eb400459025aba
SHA256: 36d7e2226b76fb4884048694efece4d9131ae054944c4d52a67a5acfe371d88c
SHA512: 497d04a01d4337ac161933b200dfc8c9e5c4c352643c79334c3f9bb96172519a9c58be39dcbd26cbbd0e43c21208364988826345a106968f8b54f29cd07ddb6a
Homepage: https://cran.r-project.org/package=encode
Description: CRAN Package 'encode' (Represent Ordered Lists and Pairs as Strings)
 Interconverts between ordered lists and compact string notation.  Useful for
 capturing code lists, and pair-wise codes and decodes, for text storage.
 Analogous to factor levels and labels. Generics encode() and decode()
 perform interconversion, while codes() and decodes() extract components of
 an encoding.  The function encoded() checks whether something is
 interpretable as an encoding.  If a vector has an encoded 'guide' attribute,
 as_factor() uses it to coerce to factor.

Package: r-cran-encompasstest
Architecture: all
Version: 0.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-encompasstest_0.22-1.ca2004.1_all.deb
Size: 31044
MD5sum: 555a7ec1fa7e07ad417889c7f173053c
SHA1: 89098c6c79e329cb3f71429c1180dad0fc26ab9a
SHA256: fcf972afc245fd12d56174285756010e0496efa42af4c2171be1053feacfaf6a
SHA512: e64e1d6f6f79fbdd2ad4453d9a3f3bdbd85efd08a51334ba05daa719273cf9282d626a9457eb40ac48e8e48e2b076e57bab99fb876d3d16e0cec865626862f34
Homepage: https://cran.r-project.org/package=EncompassTest
Description: CRAN Package 'EncompassTest' (Direct Multi-Step Forecast Based Comparison of Nested Models viaan Encompassing Test)
 The encompassing test is developed based on multi-step-ahead predictions of
 two nested models as in Pitarakis, J. (2023)
 <doi:10.48550/arXiv.2312.16099>. The statistics are standardised to a normal
 distribution, and the null hypothesis is that the larger model contains no
 additional useful information. P-values will be provided in the output.

Package: r-cran-encryptedrmd
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sodium, r-cran-readr, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-encryptedrmd_0.2.1-1.ca2004.1_all.deb
Size: 36168
MD5sum: 876dc0aa240df601f91db482bab6ab69
SHA1: 14affbfef3ed108513fa578661d77a0cce84c9b8
SHA256: 260a8eb819bab4c3674b8411d6b4600e4ea087facf53f63dd226939020e626cb
SHA512: 79a5ebfaf1374734ddbc4e661c98ef6a4382cb19b287209b439acfc66e727ef52964ba1adcce4d720ca97a4ea18c863febc6aedc0c6e1bcf7622a781dd4fbdca
Homepage: https://cran.r-project.org/package=encryptedRmd
Description: CRAN Package 'encryptedRmd' (Encrypt Html Reports Using 'Libsodium')
 Create encrypted html files that are fully self contained and do not require
 any additional software. Using the package you can encrypt arbitrary html
 files and also directly create encrypted 'rmarkdown' html reports.

Package: r-cran-encryptr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-openssl, r-cran-purrr, r-cran-readr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-encryptr_0.1.4-1.ca2004.1_all.deb
Size: 95500
MD5sum: 0a7968977182875793a576991be77640
SHA1: f2e0bf29e21655f5da4d39eec6231e4793ec70e6
SHA256: e2439b1dbe1619c3aff53c49f935c18fcb9b47f1918015a98c3f1e25947354cc
SHA512: 7dbee6b09339d9c3cf51101b73c4e50dee59aeb9d2e79372a3fe0e30957e22a70a392209667637504602f40d1960285954d3f674885585489ba46b8616be3791
Homepage: https://cran.r-project.org/package=encryptr
Description: CRAN Package 'encryptr' (Easily Encrypt and Decrypt Data Frame/Tibble Columns or Filesusing RSA Public/Private Keys)
 It is important to ensure that sensitive data is protected.  This
 straightforward package is aimed at the end-user.  Strong RSA encryption
 using a public/private key pair is used to encrypt data frame or tibble
 columns.  A public key can be shared to allow others to encrypt data to be
 sent to you.  This is particularly aimed a healthcare settings so patient
 data can be pseudonymised.

Package: r-cran-enderecobr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-enderecobr_0.4.1-1.ca2004.1_all.deb
Size: 179044
MD5sum: e8c27ce0a3943ec2c2757134d02c63c8
SHA1: 6cb2fc2b9d3d992a0ccc9d3ea438c01977a73ab1
SHA256: 7d8222bc12bb911b5bc50622b4cb280ee14670e44ea3eb9075b182582c0c39e0
SHA512: 6e74a0c9db3f3479e82f2aa319d2341cae36d227e4f716f38a17b99cb16ee08de92a7dd2898fa79806b56bb37fbe3b8291442d78de774a1b354433ba444b4219
Homepage: https://cran.r-project.org/package=enderecobr
Description: CRAN Package 'enderecobr' (Padronizador de Endereços Brasileiros (Brazilian AddressesStandardizer))
 Padroniza endereços brasileiros a partir de diferentes critérios. Os métodos
 de padronização incluem apenas manipulações básicas de strings, não
 oferecendo suporte a correspondências probabilísticas entre strings.
 (Standardizes brazilian addresses using different criteria. Standardization
 methods include only basic string manipulation, not supporting probabilistic
 matches between strings.)

Package: r-cran-endogenous
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-endogenous_1.0-1.ca2004.1_all.deb
Size: 56356
MD5sum: 27239b17b03451fa5264476c56525286
SHA1: 4751713a3a98771e9122595afd204d4b941a4162
SHA256: 29ac3dd3bef39240544a0e0cca357e9d0daeb3de13c96978e93a6f11fe09e421
SHA512: acaae22e5474668a36a5095a0672626a9f4e939cfae55b6383555832cfa3ba48a08522574e42e18f6502981c5a96973b8298a853294dda3ebbf177bba3a89598
Homepage: https://cran.r-project.org/package=endogenous
Description: CRAN Package 'endogenous' (Classical Simultaneous Equation Models)
 Likelihood-based approaches to estimate linear regression parameters and
 treatment effects in the presence of endogeneity. Specifically, this package
 includes James Heckman's classical simultaneous equation models-the sample
 selection model for outcome selection bias and hybrid model with structural
 shift for endogenous treatment. For more information, see the seminal paper
 of Heckman (1978) <DOI:10.3386/w0177> in which the details of these models
 are provided. This package accommodates repeated measures on subjects with a
 working independence approach. The hybrid model further accommodates
 treatment effect modification.

Package: r-cran-endoswitch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-maxlik, r-cran-msm
Filename: pool/dists/focal/main/r-cran-endoswitch_1.0.0-1.ca2004.1_all.deb
Size: 67388
MD5sum: a6d068aad0b58a7f078686dcee3ccbb7
SHA1: 9962c2b89ac0780ad3b7b1866a170043c3d4c8ae
SHA256: 5a5fa5db3ae1fdccc595881b0fe716fad8c6e00ee978243eb642ce0317166963
SHA512: 1b004b9353286ce9354bbc3880afe597f92416753f6ac298db3ed020b3e75099b2887fb0aea013b26da2e42e3371d9e79341dce5e22265fdf8bd88f978d06923
Homepage: https://cran.r-project.org/package=endoSwitch
Description: CRAN Package 'endoSwitch' (Endogenous Switching Regression Models)
 Maximum likelihood estimation of endogenous switching regression models from
 Heckman (1979) <doi:10.2307/1912352> and estimation of treatment effects.

Package: r-cran-endtoend
Architecture: all
Version: 2.29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pastecs, r-cran-ggplot2
Suggests: r-cran-hopbyhop, r-cran-opportunistic
Filename: pool/dists/focal/main/r-cran-endtoend_2.29-1.ca2004.1_all.deb
Size: 36804
MD5sum: 996d1ca662c1809519f1383f916bc433
SHA1: c162a6bc30e73dbf3001890312f755f2b664961c
SHA256: ebf006967c242b339b2b6231e26943987fba42ee335ee05b8f6fc8abdaf6ea0f
SHA512: 61cfb0a8eed13794f1cfbf1636a5f905d3c9e8956a38ded3cc312526341b682ac25b5d47a91c584f117373fee59292f6b43921d250739cab3d9ca569338cabee
Homepage: https://cran.r-project.org/package=endtoend
Description: CRAN Package 'endtoend' (Transmissions and Receptions in an End to End Network)
 Computes the expectation of the number of transmissions and receptions
 considering an End-to-End transport model with limited number of
 retransmissions per packet. It provides theoretical results and also
 estimated values based on Monte Carlo simulations. It is also possible to
 consider random data and ACK probabilities.

Package: r-cran-energyonlinecpm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-energy, r-cran-mass
Filename: pool/dists/focal/main/r-cran-energyonlinecpm_1.0-1.ca2004.1_all.deb
Size: 25964
MD5sum: b36cf9c0c489428289ab275d7e7b5c18
SHA1: fe7465c7c691ae791a9af3b05d233156f5bb09c4
SHA256: a5bb810b5c81fb992a7bd9b293d90eb573dc0d9694d5bbf2763e4299a521815f
SHA512: 678a5cb13961d1d167e0208a6594882cbaad9221efcb98ce198074bf5843cf25d5518d22c2bf91dfa3ed23e22c87377161b87b3704584e0a40b823e866544fb6
Homepage: https://cran.r-project.org/package=EnergyOnlineCPM
Description: CRAN Package 'EnergyOnlineCPM' (Distribution Free Multivariate Control Chart Based on EnergyTest)
 Provides a function for distribution free control chart based on the change
 point model, for multivariate statistical process control. The main
 constituent of the chart is the energy test that focuses on the discrepancy
 between empirical characteristic functions of two random vectors. This new
 control chart highlights in three aspects. Firstly, it is distribution free,
 requiring no knowledge of the random processes. Secondly, this control chart
 can monitor mean and variance simultaneously. Thirdly it is devised for
 multivariate time series which is more practical in real data application.
 Fourthly, it is designed for online detection (Phase II), which is central
 for real time surveillance of stream data. For more information please refer
 to O. Okhrin and Y.F. Xu (2017)
 <https://github.com/YafeiXu/working_paper/raw/master/CPM102.pdf>.

Package: r-cran-energyr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rgooglemaps
Filename: pool/dists/focal/main/r-cran-energyr_0.1.3-1.ca2004.1_all.deb
Size: 229488
MD5sum: 0512a47d60c583b5268875b61a97adb1
SHA1: 9fbd68d864b5594405adbc3753119b4fa7923177
SHA256: b1acdf501f16e41db21f2ca2f22c8c86d8b7634f43d41e0f49e11dcda11152a3
SHA512: 6758104eb09adfe203304d4c65199fce49c474e2624cebf53da1be73cb2fe4c0668291d2edb2594c008c36d82bcf0328a1b301b0d2723acf9699bd365cca0b34
Homepage: https://cran.r-project.org/package=energyr
Description: CRAN Package 'energyr' (Data Published by the United States Federal Energy RegulatoryCommission)
 Data published by the United States Federal Energy Regulatory Commission
 including electric company financial data, natural gas company financial
 data, hydropower plant data, liquified natural gas plant data, oil company
 financial data natural gas company financial data, and natural gas storage
 field data.

Package: r-cran-enetlts
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-glmnet, r-cran-reshape, r-cran-cvtools, r-cran-robustbase, r-cran-robusthd
Filename: pool/dists/focal/main/r-cran-enetlts_1.1.0-1.ca2004.1_all.deb
Size: 240012
MD5sum: 1a11fdddba7b46414484568e7fddafe3
SHA1: 16fd4639a1635d922b0968872fdfc8bfd0d0590a
SHA256: 685476db4804130e7ec0153e6372ea6e2d20a5d7934fff7715f0919149f68a8f
SHA512: 8e599811d6771692a626716a5f19457f31379e69403d915bcc97f142b480634b17ec03b99babd7f600c97f8f6c00651e1f6e40a77a9acf37189d26f9ae02108e
Homepage: https://cran.r-project.org/package=enetLTS
Description: CRAN Package 'enetLTS' (Robust and Sparse Methods for High Dimensional Linear and Binaryand Multinomial Regression)
 Fully robust versions of the elastic net estimator are introduced for linear
 and binary and multinomial regression, in particular high dimensional data.
 The algorithm searches for outlier free subsets on which the classical
 elastic net estimators can be applied. A reweighting step is added to
 improve the statistical efficiency of the proposed estimators. Selecting
 appropriate tuning parameters for elastic net penalties are done via
 cross-validation.

Package: r-cran-english
Architecture: all
Version: 1.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-english_1.2-6-1.ca2004.1_all.deb
Size: 128884
MD5sum: 464bc63c8bb75a7fcc14ac75b56bb515
SHA1: ea0277e9f73d5629905a35eb6a6d39e0f509b5a7
SHA256: 8a81d0605929f263a639e750474a71ba2a002cdfd4633e6b55c06f8949a82628
SHA512: cc1767797e11f82af5e9aecd0826ced98576648e25bba2006d9cb9a3f79795173c97154f22ac1a676d34912efdbc4a13b70f79498379b0bb036db10de3356f07
Homepage: https://cran.r-project.org/package=english
Description: CRAN Package 'english' (Translate Integers into English)
 Allow numbers to be presented in an English language version, one, two,
 three, ...  Ordinals are also available, first, second, third, ... and
 indefinite article choice, "a" or "an".

Package: r-cran-engrecon
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-engrecon_1.0.0-1.ca2004.1_all.deb
Size: 39776
MD5sum: 2186cc64c6c4506665036891f3cd1254
SHA1: 05b73fbd26b58f1ad46863b3224b8047da9dd640
SHA256: 851d7742ec099ecab7ce32fea56bd4cd6a526d170fd37fb4ff5674406fde2aab
SHA512: dabba084a84783942fe3a21146fe6638c6da5ae831dc066c5a5bb8432dc21d0160ee2e8c6f31f83e5f1cb16b05df866bbbfd2a5ba16867ec15737b9190f3e64e
Homepage: https://cran.r-project.org/package=EngrEcon
Description: CRAN Package 'EngrEcon' (Engineering Economics Analysis for Engineering Projects CostAnalysis)
 Computing economic analysis in civil infrastructure and ecosystem
 restoration projects is a typical activity. This package contains Standard
 cost engineering and engineering economics methods that are applied to
 convert between present, future, and annualized costs. Newnan D. (2020)
 <ISBN 9780190931919> “Engineering Economic Analysis”.

Package: r-cran-engression
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-torch
Filename: pool/dists/focal/main/r-cran-engression_0.1.4-1.ca2004.1_all.deb
Size: 44980
MD5sum: ae9640cfa5eeafce5eed7ac8d8555b7b
SHA1: 6b83fdda0c0822c3b4c9b054fdad34c5882a86de
SHA256: 4441a2b46f4b5b6fbb7815ab7ae95e77dea3fcb7c51093c4c005d1ed2887a28c
SHA512: 05ec2188ae220d83bf7144dbc44f49c89476c6e1dbfbe94c3b50907eae9b23f99d81651b85b856b0be43e41350774c1fa8af5a8450a53d40b8f7bb234954d79e
Homepage: https://cran.r-project.org/package=engression
Description: CRAN Package 'engression' (Engression Modelling)
 Fits engression models for nonlinear distributional regression. Predictors
 and targets can be univariate or multivariate. Functionality includes
 estimation of conditional mean, estimation of conditional quantiles, or
 sampling from the fitted distribution. Training is done full-batch on CPU
 (the python version offers GPU-accelerated stochastic gradient descent).
 Based on "Engression: Extrapolation for nonlinear regression?" by Xinwei
 Shen and Nicolai Meinshausen (2023). Also supports classification
 (experimental).  <arxiv:2307.00835>.

Package: r-cran-engrexpt
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-engrexpt_0.1-8-1.ca2004.1_all.deb
Size: 207884
MD5sum: 0c8e5a9ae7b626799c4f0300032f4fe5
SHA1: 8ab7737571a67edd0d3a0d5def8811c38bb57504
SHA256: e39897102f2ea3fc91bfcf6ee2c4157e20d0a13afff6610090b452401f477952
SHA512: 9a1371547bba8bcc9af36faa306f50874a97cd853cd8d3d6434ca7f5348b694d86bcd4e5e0485331a4f6065588d309cebd58e5f227ba048442463a168d132a4b
Homepage: https://cran.r-project.org/package=EngrExpt
Description: CRAN Package 'EngrExpt' (Data sets from "Introductory Statistics for EngineeringExperimentation")
 Datasets from Nelson, Coffin and Copeland "Introductory Statistics for
 Engineering Experimentation" (Elsevier, 2003) with sample code.

Package: r-cran-engsoccerdata
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2088
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-engsoccerdata_0.1.5-1.ca2004.1_all.deb
Size: 2000568
MD5sum: 67eee39e9ec9712e09d9a05d740c8932
SHA1: a6c1dc2f6649f83e4f03b245f89d88b54f264595
SHA256: 183043aa45660d2e5f953dbd4efeff02226c9ef8a7adc1cc3b8076c55e86e226
SHA512: b3afcfa685d8372c4a3300014735a697167b9802ceb82c3c42991b00f85740cca89bd6d8c2113c1fdbb1e8191aada11a91358b9f95af589a0b75799a66e60148
Homepage: https://cran.r-project.org/package=engsoccerdata
Description: CRAN Package 'engsoccerdata' (English and European Soccer Results 1871-2016)
 Analyzing English & European soccer results data from 1871-2016.

Package: r-cran-enmeval
Architecture: all
Version: 2.0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2700
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-maxnet, r-cran-predicts, r-cran-foreach, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-glmnet, r-cran-rangemodelmetadata, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-rjava, r-cran-spocc, r-cran-rcolorbrewer, r-cran-sf, r-cran-blockcv, r-cran-devtools, r-cran-tibble, r-cran-ecospat, r-cran-geodata, r-cran-usdm
Filename: pool/dists/focal/main/r-cran-enmeval_2.0.5.2-1.ca2004.1_all.deb
Size: 2510672
MD5sum: 08257ba786de869938b28cdc95e80c6e
SHA1: 381a11751e789307f88e500ca3c5606c373a8177
SHA256: b0dd243ebf29537553a873b930a529574502aabe1423a42608a480e33c32dc08
SHA512: 2caf7f152fec9a917692d2418cdb03d5b731b4d33f1899f578c9515877f0be8d7c570629ad68db212f09f771c11c082b83fad49c4429521d819629ba5cbc63c5
Homepage: https://cran.r-project.org/package=ENMeval
Description: CRAN Package 'ENMeval' (Automated Tuning and Evaluations of Ecological Niche Models)
 Runs ecological niche models over all combinations of user-defined settings
 (i.e., tuning), performs cross validation to evaluate models, and returns
 data tables to aid in selection of optimal model settings that balance
 goodness-of-fit and model complexity. Also has functions to partition data
 spatially (or not) for cross validation, to plot multiple visualizations of
 results, to run null models to estimate significance and effect sizes of
 performance metrics, and to calculate range overlap between model
 predictions, among others. The package was originally built for Maxent
 models (Phillips et al. 2006, Phillips et al. 2017), but the current version
 allows possible extensions for any modeling algorithm. The extensive
 vignette, which guides users through most package functionality but
 unfortunately has a file size too big for CRAN, can be found here on the
 package's Github Pages website:
 <https://jamiemkass.github.io/ENMeval/articles/ENMeval-2.0-vignette.html>.

Package: r-cran-enmsdmx
Architecture: all
Version: 1.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aiccmodavg, r-cran-boot, r-cran-cowplot, r-cran-data.table, r-cran-doparallel, r-cran-dt, r-cran-foreach, r-cran-gbm, r-cran-ggplot2, r-cran-ks, r-cran-maxnet, r-cran-mgcv, r-cran-omnibus, r-cran-predicts, r-cran-ranger, r-cran-rjava, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-sp, r-cran-statisfactory, r-cran-terra
Filename: pool/dists/focal/main/r-cran-enmsdmx_1.2.12-1.ca2004.1_all.deb
Size: 1986172
MD5sum: 8ddfb810d87ecc8bf6d2f83f8572044c
SHA1: 786efb74afff7d95416507cf6507bf5ff90ec0fb
SHA256: 8dc5ea15e97164ba7869f194b150771ad406e2fc022afb88db76842a758be6c4
SHA512: df6f3bb05fb32fc472a357dc9e1c545322371b78d4fd02b1dc2cb3aa0efb3047bedcb10daf1e14d1d0a44ff6149c9b53d1c5f7014aaea0aad9a713e0a3d2dd68
Homepage: https://cran.r-project.org/package=enmSdmX
Description: CRAN Package 'enmSdmX' (Species Distribution Modeling and Ecological Niche Modeling)
 Implements species distribution modeling and ecological niche modeling,
 including: bias correction, spatial cross-validation, model evaluation,
 raster interpolation, biotic "velocity" (speed and direction of movement of
 a "mass" represented by a raster), interpolating across a time series of
 rasters, and use of spatially imprecise records.  The heart of the package
 is a set of "training" functions which automatically optimize model
 complexity based number of available occurrences. These algorithms include
 MaxEnt, MaxNet, boosted regression trees/gradient boosting machines,
 generalized additive models, generalized linear models, natural splines, and
 random forests. To enhance interoperability with other modeling packages, no
 new classes are created.  The package works with 'PROJ6' geodetic objects
 and coordinate reference systems.

Package: r-cran-enmtools
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1749
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dismo, r-cran-knitr, r-cran-ggplot2, r-cran-gridextra, r-cran-lhs, r-cran-magrittr, r-cran-enmeval, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-ggpubr, r-cran-forcats, r-cran-terra, r-cran-raster
Suggests: r-cran-testthat, r-cran-hypervolume, r-cran-leaflet, r-cran-mgcv, r-cran-ecospat, r-cran-randomforest, r-cran-ranger, r-cran-caret, r-cran-calibratr, r-cran-ape, r-cran-resourceselection, r-cran-reshape2, r-cran-vip, r-cran-pdp, r-cran-fastshap, r-cran-viridis, r-cran-progress, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-enmtools_1.1.2-1.ca2004.1_all.deb
Size: 1661208
MD5sum: 7974a41071c336d52c0ed542df837c33
SHA1: 9fa3e654bed9c3e7f80135589460e04b615f4c39
SHA256: 38b8fd6b76d21e5f2ca3ef7ef531468a206a96eca65a7673fe32e11ef78c3788
SHA512: d845ab14eb8c6f2815ecab0f9622778e66a64bb9f415fe6f996a8c6c4b16a3d269ba409d14c713d26ef20364d04cb57cd1f96434d5aab30ddde20311a49ffccc
Homepage: https://cran.r-project.org/package=ENMTools
Description: CRAN Package 'ENMTools' (Analysis of Niche Evolution using Niche and Distribution Models)
 Constructing niche models and analyzing patterns of niche evolution.  Acts
 as an interface for many popular modeling algorithms, and allows users to
 conduct Monte Carlo tests to address basic questions in evolutionary ecology
 and biogeography.  Warren, D.L., R.E. Glor, and M. Turelli (2008)
 <doi:10.1111/j.1558-5646.2008.00482.x> Glor, R.E., and D.L. Warren (2011)
 <doi:10.1111/j.1558-5646.2010.01177.x> Warren, D.L., R.E. Glor, and M.
 Turelli (2010) <doi:10.1111/j.1600-0587.2009.06142.x> Cardillo, M., and D.L.
 Warren (2016) <doi:10.1111/geb.12455> D.L. Warren, L.J. Beaumont, R.
 Dinnage, and J.B. Baumgartner (2019) <doi:10.1111/ecog.03900>.

Package: r-cran-enpls
Architecture: all
Version: 6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3890
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pls, r-cran-spls, r-cran-foreach, r-cran-doparallel, r-cran-ggplot2, r-cran-reshape2, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-enpls_6.1-1.ca2004.1_all.deb
Size: 2528016
MD5sum: 701c07f52a1b62606621519660518e31
SHA1: c1a682183141d9407049d7ce076644895f149803
SHA256: a4a5b68aee8d664683ee8e746595f739ebb620568b8bfdada59e39d23a55b7f3
SHA512: 955bfad2ea0f53fc3baf1df91eccdc917b51751929fdf296cb4c2288fae637903cd44da450f70b1af51f81f05517fabdd30ea1ed7135d1dac3f6523a31c36482
Homepage: https://cran.r-project.org/package=enpls
Description: CRAN Package 'enpls' (Ensemble Partial Least Squares Regression)
 An algorithmic framework for measuring feature importance, outlier
 detection, model applicability domain evaluation, and ensemble predictive
 modeling with (sparse) partial least squares regressions.

Package: r-cran-enrichdo
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-rgraphviz, r-bioc-clusterprofiler, r-cran-hash, r-bioc-s4vectors, r-cran-dplyr, r-cran-ggplot2, r-bioc-graph, r-cran-magrittr, r-cran-pheatmap, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-enrichdo_0.1-1-1.ca2004.1_all.deb
Size: 2707020
MD5sum: 8ee721a1895d37dbad278325541e75a6
SHA1: e310a2107affb1336aad7350ed67da6144254775
SHA256: 4a18c1ff83d7424e17263043eb37f4e8cbc188d980c585c551898e4108ea1271
SHA512: 3cc3d19590193b6ad69d61b677cbf498a9c0025d2ce35490e789334d56f78e6a69c130578352370847e833fa3ad90d5bea8d0721bf30d95626994b72d6adea47
Homepage: https://cran.r-project.org/package=EnrichDO
Description: CRAN Package 'EnrichDO' (a Global Weighted Model for Disease Ontology Enrichment Analysis)
 To implement disease ontology (DO) enrichment analysis, this package is
 designed and presents a double weighted model based on the latest
 annotations of the human genome with DO terms, by integrating the DO graph
 topology on a global scale. This package exhibits high accuracy that it can
 identify more specific DO terms, which alleviates the over enriched problem.
 The package includes various statistical models and visualization schemes
 for discovering the associations between genes and diseases from biological
 big data.

Package: r-cran-enrichintersect
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1387
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-networkd3, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-webshot2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-enrichintersect_0.7-1.ca2004.1_all.deb
Size: 1105756
MD5sum: dd0925c324bff0a2928ecf0ac7617bd4
SHA1: cabbe23268cd52f6266ff272fe207904ab9f06fc
SHA256: 449940e06cf7c7226019387d53c9e6b096950e142ca916912f42972177454a81
SHA512: c8fabec66fed48935a34ee7d4ff8791cad8dcbd58df8a219a3770f01778a23024cbd5546f72398cf97ac5543fef078c7f4fa248ab39716f6d5257d543163601d
Homepage: https://cran.r-project.org/package=EnrichIntersect
Description: CRAN Package 'EnrichIntersect' (Enrichment Analysis and Intersecting Sankey Diagram)
 A flexible tool for enrichment analysis based on user-defined sets. It
 allows users to perform over-representation analysis of the custom sets
 among any specified ranked feature list, hence making enrichment analysis
 applicable to various types of data from different scientific fields.
 'EnrichIntersect' also enables an interactive means to visualize identified
 associations based on, for example, the mix-lasso model (Zhao et al., 2022
 <doi:10.1016/j.isci.2022.104767>) or similar methods.

Package: r-cran-enrichr
Architecture: all
Version: 3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-curl, r-cran-rjson, r-cran-ggplot2, r-cran-writexls
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-enrichr_3.4-1.ca2004.1_all.deb
Size: 255324
MD5sum: 2592a5a4aa3649189df0b29c96409538
SHA1: 09b718a8154186237f3869091ca7d082433c28d2
SHA256: 2e77a396a03fc7b943b0997663bcad1093788d4070a1bea0590717b5d20892dd
SHA512: 9df078b771637a68a9e9e91b559322a06e0e9964f2d1153c470b8209443bc52eb4923e3e84d51ac11fa61c3007ae557e744615aeed0bfcf775c49747703c2ee3
Homepage: https://cran.r-project.org/package=enrichR
Description: CRAN Package 'enrichR' (Provides an R Interface to 'Enrichr')
 Provides an R interface to all 'Enrichr' databases. 'Enrichr' is a web-based
 tool for analysing gene sets and returns any enrichment of common annotated
 biological features. Quoting from their website 'Enrichment analysis is a
 computational method for inferring knowledge about an input gene set by
 comparing it to annotated gene sets representing prior biological
 knowledge.' See <https://maayanlab.cloud/Enrichr/> for further details.

Package: r-cran-enrichwith
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-whisker, r-cran-suppdists, r-cran-brglm, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-enrichwith_0.3.1-1.ca2004.1_all.deb
Size: 260332
MD5sum: 787c41ee5b3b063a81281c9961f397a0
SHA1: 42555098e5bfab052f237b3aee6322ab3e5a3600
SHA256: e2fd06ad509091b95d2cb06493a0e0b7433e1aef43f407ba0377c55236e97cb7
SHA512: 0ba802e618afab0421e01711d88152a564d37397028c2221ad83e91c0303e677e231ae5a7373a1511d4c9756da6ed9930808c7cdcc16c9728b02cf38d22e3d16
Homepage: https://cran.r-project.org/package=enrichwith
Description: CRAN Package 'enrichwith' (Methods to Enrich R Objects with Extra Components)
 Provides the "enrich" method to enrich list-like R objects with new,
 relevant components. The current version has methods for enriching objects
 of class 'family', 'link-glm', 'lm', 'glm' and 'betareg'. The resulting
 objects preserve their class, so all methods associated with them still
 apply. The package also provides the 'enriched_glm' function that has the
 same interface as 'glm' but results in objects of class 'enriched_glm'. In
 addition to the usual components in a `glm` object, 'enriched_glm' objects
 carry an object-specific simulate method and functions to compute the
 scores, the observed and expected information matrix, the first-order bias,
 as well as model densities, probabilities, and quantiles at arbitrary
 parameter values. The package can also be used to produce customizable
 source code templates for the structured implementation of methods to
 compute new components and enrich arbitrary objects.

Package: r-cran-enscat
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2713
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dendextend, r-cran-ggplot2, r-cran-ggdendro, r-cran-seqinr
Filename: pool/dists/focal/main/r-cran-enscat_1.1-1.ca2004.1_all.deb
Size: 2589880
MD5sum: 1f586de25b75ed1456042a4a87544fb2
SHA1: fe1dfb0f811dad35c46dab47f8c9764795ff8627
SHA256: c5ff028061966a1be6777aa756fb9b75dd22dfeed24ab139d4b4a3290587f7c5
SHA512: cbb9459f911c36b24c327accc06c2b3e3810f9ce8a5e6886ba56d99d41097e100e4cd347f6a126f3fb78594ad6fa27851b6e3ad9aee547e5975510cf953c6b5b
Homepage: https://cran.r-project.org/package=EnsCat
Description: CRAN Package 'EnsCat' (Clustering of Categorical Data)
 An implementation of the clustering methods of categorical data discussed in
 Amiri, S., Clarke, B., and Clarke, J. (2015). Clustering categorical data
 via ensembling dissimilarity matrices.  Preprint <arXiv:1506.07930>.

Package: r-cran-ensemblebase
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kknn, r-cran-gbm, r-cran-nnet, r-cran-e1071, r-cran-randomforest, r-cran-doparallel, r-cran-foreach, r-cran-glmnet, r-cran-bartmachine
Filename: pool/dists/focal/main/r-cran-ensemblebase_1.0.4-1.ca2004.1_all.deb
Size: 217036
MD5sum: 03a3299ab4fd1340c771c202087ce1fb
SHA1: 5aab93ba6cf74ebf8002bd9800d1f258c72aae7a
SHA256: 865324b109ddde8611b3613da0bfb681a167135ae43ea5549f31382a4e98b2dc
SHA512: e54182cfacc0171535dfa12af48fa0f81967536f579e6ee63399405d1701ea44a4c1096792e6890c6884d7e64c54d7804db2001320722b7b700ecb4ed61c6ed5
Homepage: https://cran.r-project.org/package=EnsembleBase
Description: CRAN Package 'EnsembleBase' (Extensible Package for Parallel, Batch Training of Base Learnersfor Ensemble Modeling)
 Extensible S4 classes and methods for batch training of regression and
 classification algorithms such as Random Forest, Gradient Boosting Machine,
 Neural Network, Support Vector Machines, K-Nearest Neighbors, Penalized
 Regression (L1/L2), and Bayesian Additive Regression Trees. These algorithms
 constitute a set of 'base learners', which can subsequently be combined
 together to form ensemble predictions. This package provides
 cross-validation wrappers to allow for downstream application of ensemble
 integration techniques, including best-error selection. All base learner
 estimation objects are retained, allowing for repeated prediction calls
 without the need for re-training. For large problems, an option is provided
 to save estimation objects to disk, along with prediction methods that
 utilize these objects. This allows users to train and predict with large
 ensembles of base learners without being constrained by system RAM.

Package: r-cran-ensemblebma
Architecture: all
Version: 5.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2761
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-chron
Suggests: r-cran-fields, r-cran-maps
Filename: pool/dists/focal/main/r-cran-ensemblebma_5.1.8-1.ca2004.1_all.deb
Size: 2704400
MD5sum: 3d6a1f60622f36bd5f7bddc74cfd8595
SHA1: 62ac0aa80e7dd28c6f738543717f8ca1593cd0ab
SHA256: 1131dd2e4b3028e3d6a054e9addd0630b17a55d459fd9b6a7456ac950f13f3bc
SHA512: 6440dbe3e222b25770bbf47f409f751ac64b9f4700766be6719959f1288481087bd939a7d2f102bfe74beebc756fdce144c854fcd2fea1f635bc772f97db286c
Homepage: https://cran.r-project.org/package=ensembleBMA
Description: CRAN Package 'ensembleBMA' (Probabilistic Forecasting using Ensembles and Bayesian ModelAveraging)
 Bayesian Model Averaging to create probabilistic forecasts from ensemble
 forecasts and weather observations
 <https://stat.uw.edu/sites/default/files/files/reports/2007/tr516.pdf>.

Package: r-cran-ensemblecv
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Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ensemblebase
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Size: 61016
MD5sum: cf79737eed1dfeee1c72e53ac477c139
SHA1: c0ba332a837a9aadebdff465ba91c71244117353
SHA256: 67d4d73e44f4df21d8312d9b570ce82a5ed4ae1f1fa8ede7973d5628b2fe42df
SHA512: d761d44a6271e1e1f4dd94974d3021d3c3ae81316641005f9489823247e677ce3b90d2def79bad55984ad8b8b58e9a572cb6795de3152505554dba166aa301ac
Homepage: https://cran.r-project.org/package=EnsembleCV
Description: CRAN Package 'EnsembleCV' (Extensible Package for Cross-Validation-Based Integration ofBase Learners)
 Extends the base classes and methods of EnsembleBase package for
 cross-validation-based integration of base learners. Default implementation
 calculates average of repeated CV errors, and selects the base learner /
 configuration with minimum average error. The package takes advantage of the
 file method provided in EnsembleBase package for writing estimation objects
 to disk in order to circumvent RAM bottleneck. Special save and load methods
 are provided to allow estimation objects to be saved to permanent files on
 disk, and to be loaded again into temporary files in a later R session. The
 package can be extended, e.g. by adding variants of the current
 implementation.

Package: r-cran-ensemblemos
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Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ensemblebma, r-cran-chron, r-cran-evd
Suggests: r-cran-fields, r-cran-maps
Filename: pool/dists/focal/main/r-cran-ensemblemos_0.8.2-1.ca2004.1_all.deb
Size: 382628
MD5sum: d310aefaadc88798aad4626563e30b97
SHA1: 3343ad6a9536e72d623fa01a1d2d50faadc79023
SHA256: 78fe0b304e8740dbf58d5e46a587d07ab7f13d7a372ec201c47177df5bdd521d
SHA512: 2d4e022cdab2ab602effcf91989a89606e7086b1b6a388ca772d38697201e6d4a5903e743c879ab5e3226dccc9ceedeb4ec487a5322d9ede88a9267a564a8abe
Homepage: https://cran.r-project.org/package=ensembleMOS
Description: CRAN Package 'ensembleMOS' (Ensemble Model Output Statistics)
 Ensemble Model Output Statistics to create probabilistic forecasts from
 ensemble forecasts and weather observations.

Package: r-cran-ensemblepcreg
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ensemblebase
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ensemblepcreg_1.1.4-1.ca2004.1_all.deb
Size: 462364
MD5sum: e20772adddc769fcbb5a8ed56f4e08bc
SHA1: 2d8a931c9b3b9f21d503aeed06fd27787d1677eb
SHA256: 0fa91d571e3704c0168f31496d24d75630f7baca7dad8062df056cbee62712ea
SHA512: 890e54d457cb89834e76a67f6d9e5507b44203c55a29f252e1c764634e384a7d1f7269c2ef50aec6b6309f1a9a37ed5dbdbf547b43769355dd60b4dc9846ab26
Homepage: https://cran.r-project.org/package=EnsemblePCReg
Description: CRAN Package 'EnsemblePCReg' (Extensible Package for Principal-Component-Regression-BasedHeterogeneous Ensemble Meta-Learning)
 Extends the base classes and methods of 'EnsembleBase' package for
 Principal-Components-Regression-based (PCR) integration of base learners.
 Default implementation uses cross-validation error to choose the optimal
 number of PC components for the final predictor. The package takes advantage
 of the file method provided in 'EnsembleBase' package for writing estimation
 objects to disk in order to circumvent RAM bottleneck. Special save and load
 methods are provided to allow estimation objects to be saved to permanent
 files on disk, and to be loaded again into temporary files in a later R
 session. Users and developers can extend the package by extending the
 generic methods and classes provided in 'EnsembleBase' package as well as
 this package.

Package: r-cran-ensemblepenreg
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ensemblebase, r-cran-glmnet
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Size: 73612
MD5sum: 4c8753fce4b78372ade66de2022b309a
SHA1: 039cd7a74d20a0c767bbf896f09c8c67e9122752
SHA256: bcba02a5e84cd643c71c4261808ab98fab2d0d0d53bfa5417f95a7fc63c104dd
SHA512: 174ad490c66a3b242d73890f6aa610048b678a65be46bba07beb9a0c01c0dd85e06bdf393dbf4b511e7cb17d413419adaea007b8afc32d22570d82fee9427027
Homepage: https://cran.r-project.org/package=EnsemblePenReg
Description: CRAN Package 'EnsemblePenReg' (Extensible Classes and Methods for Penalized-Regression-BasedIntegration of Base Learners)
 Extending the base classes and methods of EnsembleBase package for
 Penalized-Regression-based (Ridge and Lasso) integration of base learners.
 Default implementation uses cross-validation error to choose the optimal
 lambda (shrinkage parameter) for the final predictor. The package takes
 advantage of the file method provided in EnsembleBase package for writing
 estimation objects to disk in order to circumvent RAM bottleneck. Special
 save and load methods are provided to allow estimation objects to be saved
 to permanent files on disk, and to be loaded again into temporary files in a
 later R session. Users and developers can extend the package by extending
 the generic methods and classes provided in EnsembleBase package as well as
 this package.

Package: r-cran-ensemblepp
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ensemblebma, r-cran-crch, r-cran-gamlss, r-cran-ensemblemos, r-cran-specsverification, r-cran-scoringrules, r-cran-glmx, r-cran-ordinal, r-cran-proc, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ensemblepp_1.0-0-1.ca2004.1_all.deb
Size: 252164
MD5sum: b803130bc45d7aa284e68946556d18d5
SHA1: 7ff272dacdac570c58a842617b086d537482490d
SHA256: 83493f6f9292ed7603d291de3db0f72c4f07da2f99f620586606957f6914f97f
SHA512: ed5e8954c8758d7fb0bc4fe4f1b834e91d34ec4b4cf5e36cfcb7cb6bb8e5280ddc6b42cd961d2eaa68731491f4301c314373a5dbdee320154bca4fb782b333a5
Homepage: https://cran.r-project.org/package=ensemblepp
Description: CRAN Package 'ensemblepp' (Ensemble Postprocessing Data Sets)
 Data sets for the chapter "Ensemble Postprocessing with R" of the book
 Stephane Vannitsem, Daniel S. Wilks, and Jakob W. Messner (2018)
 "Statistical Postprocessing of Ensemble Forecasts", Elsevier, 362pp. These
 data sets contain temperature and precipitation ensemble weather forecasts
 and corresponding observations at Innsbruck/Austria. Additionally, a demo
 with the full code of the book chapter is provided.

Package: r-cran-ensembler
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret
Suggests: r-cran-e1071, r-cran-ipred, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ensembler_0.1.0-1.ca2004.1_all.deb
Size: 14260
MD5sum: 64ae3a093363b189d5cda0e5fbefb66c
SHA1: dcd9192d205855baa78a9b4a2add0403c202410e
SHA256: c95c60f8cf9e59ac7e29800196329bf4323b318ad2a85f1679cbf22c55b617fb
SHA512: 87e0f52b014f227ce2a6a0364e2957e1746c184ca35bf128abc1195c3690826093fdd81836f1cf44b8c3ee675e6b68cc5e62d5da9db3f27fd9d7bbc88cd853f1
Homepage: https://cran.r-project.org/package=ensembleR
Description: CRAN Package 'ensembleR' (Ensemble Models in R)
 Functions to use ensembles of several machine learning models specified in
 caret package.

Package: r-cran-ensembletax
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-bioc-biostrings, r-bioc-decipher, r-cran-stringr, r-cran-ggplot2, r-cran-reshape2, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ensembletax_1.1.1-1.ca2004.1_all.deb
Size: 2112120
MD5sum: 5d47206bb8dad3cc74379b5eb612b6c5
SHA1: 862a64a2740436378dfa53eace95d65ffcd6af4d
SHA256: 6566a53618c1ec099ce4b12882db64b892209431ace7ffdd32400646c7c2f578
SHA512: fdddbe7bd42db8dfa750d48ad4224b178105a6f97519b797568cac961614fdef2127a98cf99d8687fec54c12885e7c65e86cae1824a2ab0dc5d31187be22b096
Homepage: https://cran.r-project.org/package=ensembleTax
Description: CRAN Package 'ensembleTax' (Ensemble Taxonomic Assignments of Amplicon Sequencing Data)
 Creates ensemble taxonomic assignments of amplicon sequencing data in R
 using outputs of multiple taxonomic assignment algorithms and/or reference
 databases. Includes flexible algorithms for mapping taxonomic nomenclatures
 onto one another and for computing ensemble taxonomic assignments.

Package: r-cran-ensemblqueryr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vroom, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ensemblqueryr_0.1.0-1.ca2004.1_all.deb
Size: 50052
MD5sum: f2d4653f954ed20f8b70f0e630cacd91
SHA1: 0d4a1325d5c9f363dbda0f4b5ccad03a036898f9
SHA256: 750a4d2e0c7f995e3a28c4bc7718c84ad3fae3d8d7ebf912c1ccab5ac91ef26b
SHA512: 76afce1fcff0ef60c596be516fc6ca7ebca86786b2ad5ebb9e7bf5f78820786b300f74100844837d8c5bf95826cfa26d2b7e86ec8fb45def380de59678c8cdde
Homepage: https://cran.r-project.org/package=ensemblQueryR
Description: CRAN Package 'ensemblQueryR' (Simple, Fast and Efficient Querying of the 'Ensembl' API)
 Suite of tools to enable fast, efficient, high-throughput, R workflow
 integrable querying of 'Ensembl' REST API endpoints
 (<https://rest.ensembl.org/>).

Package: r-cran-enshuman
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7463
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-enshuman_1.0.0-1.ca2004.1_all.deb
Size: 7606708
MD5sum: daae87bea1f325f0af18f5c0078d0bd2
SHA1: 14581954accd54b8781f95f2817432bf357034d7
SHA256: 08efa18076ec2d09c704b8dacc63c9c3d6374492a00e5b0608cc8c6033086828
SHA512: bbd9ebeaa3a6203c96511344fff15e348e4dc441e289c3419727172672d1d5e92644210ac8071bfa124c199562cb7c41996fe59bbbceeb2ac38377cb7bd613eb
Homepage: https://cran.r-project.org/package=enshuman
Description: CRAN Package 'enshuman' (Human Gene Annotation Data from 'Ensembl')
 Gene information from 'Ensembl' genome builds 'GRCh38.p14' and 'GRCh37.p13'
 to use with the 'topr' package. The datasets were originally downloaded from
 <https://ftp.ensembl.org/pub/current/gtf/homo_sapiens/Homo_sapiens.GRCh38.111.gtf.gz>
 and
 <https://ftp.ensembl.org/pub/grch37/current/gtf/homo_sapiens/Homo_sapiens.GRCh37.87.gtf.gz>
 and converted into the format required by the 'topr' package. See
 <https://github.com/totajuliusd/topr?tab=readme-ov-file#how-to-use-topr-with-other-species-than-human>
 to see the required format.

Package: r-cran-ensmodelvis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-discrim, r-cran-glmnet, r-cran-kernlab, r-cran-knitr, r-cran-mass, r-cran-nnet, r-cran-ranger, r-cran-rmarkdown, r-cran-stacks, r-cran-stringr, r-cran-tidymodels
Filename: pool/dists/focal/main/r-cran-ensmodelvis_0.1.0-1.ca2004.1_all.deb
Size: 280276
MD5sum: d5d05c06c273780e87735fd17a6329b6
SHA1: f6ad24fecdfc4ea6f0db07494e46216c9e7342ff
SHA256: e01e16efd8c8c3e79e52f99ee2ff99688fda55d4325d7cf70756727d7cbcfc8b
SHA512: 65289a839f4bf5c17cf6b3fbf3d7eb723faff05d7d91c452ef1947af0365a51d0c20136628ac318a266187983259b80643cb84148013350ab90968f785b9df30
Homepage: https://cran.r-project.org/package=ensModelVis
Description: CRAN Package 'ensModelVis' (Visualisations for Model Ensembles)
 Displays for model fits of multiple models and their ensembles. For
 classification models, the plots are heatmaps, for regression, scatterplots.

Package: r-cran-ensr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1411
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-data.table, r-cran-ggplot2
Suggests: r-cran-digest, r-cran-ggforce, r-cran-gridextra, r-cran-knitr, r-cran-magrittr, r-cran-microbenchmark, r-cran-qwraps2, r-cran-r.rsp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ensr_0.1.0-1.ca2004.1_all.deb
Size: 821148
MD5sum: 57278afd6c720e0cb8ec441c6efb5015
SHA1: 04cb65bb3bab2f7d10f7186ccfd8ad7ff368e046
SHA256: bce385f5512780ba0e721f08af4a24231c5347fbea3d9f56175b82ffd1ac437d
SHA512: d80773a872cd06f80d0b9ae7285de2cfa4c92ad571f021e8869f352ce26562255a74cd595082dc05a6a1700f11c0257c426594dd31b3bd4fba91de58638aacce
Homepage: https://cran.r-project.org/package=ensr
Description: CRAN Package 'ensr' (Elastic Net SearcheR)
 Elastic net regression models are controlled by two parameters, lambda, a
 measure of shrinkage, and alpha, a metric defining the model's location on
 the spectrum between ridge and lasso regression.  glmnet provides tools for
 selecting lambda via cross validation but no automated methods for selection
 of alpha.  Elastic Net SearcheR automates the simultaneous selection of both
 lambda and alpha.  Developed, in part, with support by NICHD R03 HD094912.

Package: r-cran-ensurer
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ensurer_1.1-1.ca2004.1_all.deb
Size: 39244
MD5sum: 54ac5455d4079f92698aeb15134a86e5
SHA1: 3940a8fdd3812f70845489497f8b89dd87d2ad11
SHA256: c984cd2832196a2026a8b9b1214040fbb332443144f6679a9f7ea9f422e303ea
SHA512: d65b4232ef8b72f177ef7e4b065926ae1697c722b5781deb0c6248e693ed097ce4cab5c0d0baef59c6a4be13c304583cdb8efc484ef24fa4d16460a43a36e3e5
Homepage: https://cran.r-project.org/package=ensurer
Description: CRAN Package 'ensurer' (Ensure Values at Runtime)
 Add simple runtime contracts to R values. These ensure that values fulfil
 certain conditions and will raise appropriate errors if they do not.

Package: r-cran-entcn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-ryoudaotranslate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-entcn_1.0.0-1.ca2004.1_all.deb
Size: 10560
MD5sum: 5854d4fdf2b0af275115bd4f292d612e
SHA1: baf2507732c508368d23e8cbc3d887c8d69cc58f
SHA256: 82dedf0f7ab69b523f4ab84788bb513f4c5f9bbcf87c193e852c3ca73799ef38
SHA512: 81fc67ca014b1da20e08b83e35914d4cecb159a409f6e2087b99bf75cfb5a87b23ab8821104391ef3ec43e8d1b8a044edba7e713415be638e376ebcd1b27c631
Homepage: https://cran.r-project.org/package=entcn
Description: CRAN Package 'entcn' (Translate English Words into Chinese Words)
 If translate English words into Chinese, you might consider looking up a
 dictionary or online query, in fact, there is a faster way for R user.
 Ke-Hao Wu (2014) <RYoudaoTranslate: R package provide functions to translate
 English words into Chinese.> provides interface to Youdao translation open
 API for R user. But this software is not very friendly to use, I have made
 some improvements on the basis of this software. You can pass in a words or
 a vector consisting of multiple words, which will return the corresponding
 type of Chinese representation and be easy to reuse.

Package: r-cran-entropart
Architecture: all
Version: 1.6-16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-entropyestimation, r-cran-ggplot2, r-cran-ggpubr, r-cran-reshape2, r-cran-rlang, r-cran-tibble, r-cran-vegan
Suggests: r-cran-ade4, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-entropart_1.6-16-1.ca2004.1_all.deb
Size: 1340344
MD5sum: 1fe1b2aa8f8a8985824c1d9d47db80b3
SHA1: 2f8b57bd713c9ba0c18c3a5e09329f1a4218dca7
SHA256: 05e043ed02278d1e2e86dcc8deaca16ad830961b72160ba9deac42982180c1c5
SHA512: 32a8aa58a989bbb9f16bb0faaf77d9e9bb64f5df8a1f4078f35d3b8e27221b7c5234d9b7b43297c98579f52629f8f41ddecdb59902aa9a32cfaa57db82a50854
Homepage: https://cran.r-project.org/package=entropart
Description: CRAN Package 'entropart' (Entropy Partitioning to Measure Diversity)
 Measurement and partitioning of diversity, based on Tsallis entropy,
 following Marcon and Herault (2015) <doi:10.18637/jss.v067.i08>.
 'entropart' provides functions to calculate alpha, beta and gamma diversity
 of communities, including phylogenetic and functional diversity.
 Estimation-bias corrections are available.

Package: r-cran-entropicstatistics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-hrbrthemes, r-cran-tidyverse, r-cran-dplyr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-entropicstatistics_0.1.0-1.ca2004.1_all.deb
Size: 21176
MD5sum: ea1e0cadb5538f1414640cece8202d7f
SHA1: ee47b83e12b991e4b1e0b6b1d61c06d0fce29155
SHA256: 8efb086145aba48fd27108c64cfe0b0df40857a26a30244e8a6fcdd2e5c0e1ea
SHA512: 457634134d7d909f4328bfa60831f710e05c369d630064a91b4f6c4a69131e0f5f3656ec4c64f0638c2db55a5597cc5522dd7995505b54c56178fc3f70b89dbd
Homepage: https://cran.r-project.org/package=EntropicStatistics
Description: CRAN Package 'EntropicStatistics' (Functions Based on Entropic Statistics)
 Contains methods for data analysis in entropic perspective. These entropic
 perspective methods are nonparametric, and perform better on non-ordinal
 data. Currently, the package has a function HeatMap() for visualizing
 distributional characteristics among multiple populations (groups).

Package: r-cran-entropy
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-entropy_1.3.2-1.ca2004.1_all.deb
Size: 87604
MD5sum: 5f6a0599cd9b070bf2e94404f04bbf82
SHA1: d09a59d40d891452dcaec84b0297af236145fa9f
SHA256: e6520d0d37e216116951382ac50e589698266a7e4ed08d5de1a6c91e4dda0a46
SHA512: 390801cae70bfdaec023f84197b646e91e37bcc4bfd07a948c3ca6afc9512cc798b6f230567376140231532782520fc88931d4c40d70f8b94903e1b22f48fdf2
Homepage: https://cran.r-project.org/package=entropy
Description: CRAN Package 'entropy' (Estimation of Entropy, Mutual Information and Related Quantities)
 Implements various estimators of entropy for discrete random variables,
 including the shrinkage estimator by Hausser and Strimmer (2009), the
 maximum likelihood and the Millow-Madow estimator, various Bayesian
 estimators, and the Chao-Shen estimator.  It also offers an R interface to
 the NSB estimator.  Furthermore, the package provides functions for
 estimating the Kullback-Leibler divergence, the chi-squared divergence,
 mutual information, and the chi-squared divergence of independence.  It also
 computes the G statistic and the chi-squared statistic and corresponding
 p-values.  Furthermore, there are functions for discretizing continuous
 random variables.

Package: r-cran-entropyexplorer
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-entropyexplorer_1.1-1.ca2004.1_all.deb
Size: 66460
MD5sum: 3bed2b0917ed21544361963cb76320d8
SHA1: c155a2957aaaa09f525337785004aa1cc48b308f
SHA256: 7bd3cad2112ce96b9d3a61ceb6bb43d17422427a0b9a3fa5cf4466d7803733fa
SHA512: 1dffd157da54d623117e34906cd9d7ec941aa4b6d254d2ff9be4d72536c94d50eba4dbf3151815bdeee10bbd8527f846d660a10080bf9e4d0278899a91647ace
Homepage: https://cran.r-project.org/package=EntropyExplorer
Description: CRAN Package 'EntropyExplorer' (Tools for Exploring Differential Shannon Entropy, DifferentialCoefficient of Variation and Differential Expression)
 Rows of two matrices are compared for Shannon entropy, coefficient of
 variation, and expression. P-values can be requested for all metrics.

Package: r-cran-entrymodels
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-readr
Filename: pool/dists/focal/main/r-cran-entrymodels_0.2.1-1.ca2004.1_all.deb
Size: 237900
MD5sum: cdad79ed2926c062ad5e71688e2332c3
SHA1: 70e145b2ba225c5503add18f1836958539aa52d0
SHA256: 5ee0d2d62777ba05b9fb78894026e90023cbb03a10b3bea1875fcd241ca5e4ce
SHA512: de34850a33dcd50f563088cc3b9e8efc141edb2ee8226db0b422053c0c8d3c1ebdcc1572f48c1cb40d7530dc2d20f561c9801eaad24101f644c362e78df62221
Homepage: https://cran.r-project.org/package=entrymodels
Description: CRAN Package 'entrymodels' (Estimate Entry Models)
 Tools for measuring empirically the effects of entry in concentrated
 markets, based in Bresnahan and Reiss (1991)
 <https://www.jstor.org/stable/2937655>.

Package: r-cran-envalysis
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2359
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-drc, r-cran-lmtest, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-investr, r-cran-data.table, r-cran-tibble, r-cran-soiltexture
Filename: pool/dists/focal/main/r-cran-envalysis_0.7.0-1.ca2004.1_all.deb
Size: 551856
MD5sum: 5dbd8797d991500c8ad0a92668e949e3
SHA1: 87cf8aedc963652957ed28c021702193598a3bab
SHA256: ade683d0eba4fd263b5fafa58bf82c101be9eb6623bb58b2f4bdde14b72c1593
SHA512: 781cf4fb25165e75bd60d5ed05ccfb3abf2d9a166e39eed84c7cabaa0e64d8e34f489b0401bd67c1b3923a0007459ef22e72dfff0102f5f8f9f2337fe5f70f3b
Homepage: https://cran.r-project.org/package=envalysis
Description: CRAN Package 'envalysis' (Miscellaneous Functions for Environmental Analyses)
 Small toolbox for data analyses in environmental chemistry and
 ecotoxicology. Provides, for example, calibration() to calculate calibration
 curves and corresponding limits of detection (LODs) and limits of
 quantification (LOQs) according to German DIN 32645 (2008). texture() makes
 it easy to estimate soil particle size distributions from hydrometer
 measurements (ASTM D422-63, 2007).

Package: r-cran-envdocument
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-git2r, r-cran-knitr, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-envdocument_2.4.1-1.ca2004.1_all.deb
Size: 50448
MD5sum: 77e89d59a8d3dc5b29b2ed17e13526d3
SHA1: fc56dbeba53b41ddb2c055d249bb21a83199b0b1
SHA256: cd44036b83ddb9269ea22fc8db8d7e2bfdd55ffca5d4a103066a46cbbd9b75fe
SHA512: b7deef534d03ee1200b56994c84e38db1b0c4220fc2822566f83a470c1a98481dabacbb288105a52d7ae4cbded98288ac8ac1c3aaf24a44395150d663d7cc5de
Homepage: https://cran.r-project.org/package=envDocument
Description: CRAN Package 'envDocument' (Document the R Working Environment)
 Prints out information about the R working environment (system, R
 version,loaded and attached packages and versions) from a single function
 "env_doc()".  Optionally adds information on git repository, tags, commits
 and remotes (if available).

Package: r-cran-enveomics.r
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fitdistrplus, r-cran-sn, r-cran-investr
Suggests: r-cran-vegan, r-cran-ape, r-cran-picante, r-cran-gplots, r-cran-optparse
Filename: pool/dists/focal/main/r-cran-enveomics.r_1.10.0-1.ca2004.1_all.deb
Size: 369560
MD5sum: 373dba67781551f38bd185c83a340368
SHA1: 0b3103056562e00689b8e2862ca7d2d1b54173c9
SHA256: 26dec45cc83b7c1c2f05ceade9d57a694ec455615694422bba3f0355bed9f26a
SHA512: 319499da11637e7fd545404f3e368d3badb3e6982663db7385444ec1a81537a3b4002473f51fc27d15e7788e6fd86fae8fef9d557df1d7f477e6b9650b8eeedc
Homepage: https://cran.r-project.org/package=enveomics.R
Description: CRAN Package 'enveomics.R' (Various Utilities for Microbial Genomics and Metagenomics)
 A collection of functions for microbial ecology and other applications of
 genomics and metagenomics. Companion package for the Enveomics Collection
 (Rodriguez-R, L.M. and Konstantinidis, K.T., 2016
 <DOI:10.7287/peerj.preprints.1900v1>).

Package: r-cran-envexpind
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gstat, r-cran-rcurl, r-cran-dplyr, r-cran-stringi, r-cran-sp, r-cran-maptools, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-envexpind_0.1.0-1.ca2004.1_all.deb
Size: 99864
MD5sum: 90c10daebeaeacba7425dde52660ad25
SHA1: 2c901768aaca12444894a7108e0b71d0fb1895fc
SHA256: 1a67d4a1c6f6f31e0404882500cde6527f45f34b9e3a2848c4603351f18de2e1
SHA512: f71bf6fd05163a06b6f3e43ddf1a9ec9be6dd6c9fbafde8cff6075875a310a4e35e31c93c48c4e5074439538ecd2ff80462333eaa43c2b1e14af8b4adc6c0c56
Homepage: https://cran.r-project.org/package=EnvExpInd
Description: CRAN Package 'EnvExpInd' (Environmental Exposure on the Individual Level)
 Tools for the assessment of the environmental exposure. The package provides
 three methods (nearest monitoring site, inverse distance weighted as
 described in Li Wu (2017) <doi:10.1016/j.envint.2016.11.013>,and ordinary
 kriging) to calculate the environmental exposure (e.g. air pollution) on the
 individual level.

Package: r-cran-envi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 848
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-concaveman, r-cran-cvauc, r-cran-dofuture, r-cran-dorng, r-cran-fields, r-cran-foreach, r-cran-future, r-cran-iterators, r-cran-pls, r-cran-rocr, r-cran-sf, r-cran-sparr, r-cran-spatstat.geom, r-cran-terra
Suggests: r-cran-r.rsp, r-cran-rstoolbox, r-cran-spatstat.data, r-cran-spatstat.random, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-envi_1.0.0-1.ca2004.1_all.deb
Size: 594456
MD5sum: b961dc307916ae968a42dbe3ce34106c
SHA1: 5acf0c92e36ca820e39a4d4387ad93ffe36f681e
SHA256: ad9c7cef4b0e935cfd7d8400b648da6a9c2a317ad42997a338e16932c939352c
SHA512: 11dd11e7a7cb0e626d022ef7d6d8f8ee906d15b2d3b2729464f5a9f12462b86250f5ceccb402332151ed4a236defe8a1db584c2f004eeaa8714b73495d1c7068
Homepage: https://cran.r-project.org/package=envi
Description: CRAN Package 'envi' (Environmental Interpolation using Spatial Kernel DensityEstimation)
 Estimates an ecological niche using occurrence data, covariates, and kernel
 density-based estimation methods. For a single species with presence and
 absence data, the 'envi' package uses the spatial relative risk function
 that is estimated using the 'sparr' package. Details about the 'sparr'
 package methods can be found in the tutorial: Davies et al. (2018)
 <doi:10.1002/sim.7577>. Details about kernel density estimation can be found
 in J. F. Bithell (1990) <doi:10.1002/sim.4780090616>. More information about
 relative risk functions using kernel density estimation can be found in J.
 F. Bithell (1991) <doi:10.1002/sim.4780101112>.

Package: r-cran-envigcms
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3370
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-rdisop, r-bioc-biocparallel, r-cran-animation, r-cran-rcolorbrewer, r-cran-mixtools, r-cran-data.table, r-cran-igraph
Suggests: r-cran-knitr, r-cran-testthat, r-cran-plotly, r-cran-shiny, r-cran-rmarkdown, r-cran-dt, r-cran-crosstalk
Filename: pool/dists/focal/main/r-cran-envigcms_0.8.0-1.ca2004.1_all.deb
Size: 2702556
MD5sum: bb40777a781657f9e5a49d928487a1c0
SHA1: 3588b24d50f4014400e6048666f2269e3e4ea98c
SHA256: 58f80d933cec736522d5c32a67a7e4698c2111b5258f01f38f88e46ab55e92c1
SHA512: f44cbaca0bd69c4a20a7d602197d281bc2e2625ca2d64932f0498ec290db4d35e3fc1d209a399f770cb058bc5a9cf77055eeff7a11db72c869ae065efccc2210
Homepage: https://cran.r-project.org/package=enviGCMS
Description: CRAN Package 'enviGCMS' (GC/LC-MS Data Analysis for Environmental Science)
 Gas/Liquid Chromatography-Mass Spectrometer(GC/LC-MS) Data Analysis for
 Environmental Science. This package covered topics such molecular isotope
 ratio, matrix effects and Short-Chain Chlorinated Paraffins analysis etc. in
 environmental analysis.

Package: r-cran-envir
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-envir_0.3.0-1.ca2004.1_all.deb
Size: 52144
MD5sum: 5d4be08ac3423f389a8f7d24fdc548c0
SHA1: 3cf87b0b2dc04574ede86df9c9b8d0a2dbe9f702
SHA256: bf0189b4521cb2504fe69a69341c4c9b85e767086fab82421b69fcfae2f453e9
SHA512: 74c934c406f221c072ff9c106f4501f7323e1979b6f2b96631ed95fc9111ff34ffce0c955427c2bf60214f3b6ab34622a7b33a55b72544e5cbff129b7bab8aa8
Homepage: https://cran.r-project.org/package=envir
Description: CRAN Package 'envir' (Manage R Environments Better)
 Provides a small set of functions for managing R environments, with defaults
 designed to encourage usage patterns that scale well to larger code bases.
 It provides: import_from(), a flexible way to assign bindings that defaults
 to the current environment; include(), a vectorized alternative to
 base::source() that also default to the current environment; and
 attach_eval() and attach_source(), a way to evaluate expressions in attached
 environments. Together, these (and other) functions pair to provide a robust
 alternative to base::library() and base::source().

Package: r-cran-envirem
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-palinsol, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-envirem_3.1-1.ca2004.1_all.deb
Size: 217256
MD5sum: 304b4001ba114c79995b3af11139b178
SHA1: 29a9a166a95b480f6229dce3b9f7b5d88b333fae
SHA256: e9a7ffc15f343f577e7e67240e6093ae658e57e9e65ed387d0444f0ee4a8b3b8
SHA512: 320758bd222ffd36e339a4d16311b0b41617699b9dc60cc1ea640bf50f8bea1e6a92b1ea8300118a51338230040bdfe35a83c05359f1b2e0a9d8d0f35b769b26
Homepage: https://cran.r-project.org/package=envirem
Description: CRAN Package 'envirem' (Generation of ENVIREM Variables)
 Generation of bioclimatic rasters that are complementary to the typical 19
 bioclim variables.

Package: r-cran-enviropra2
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-ksamples, r-cran-fitdistrplus, r-cran-truncdist
Filename: pool/dists/focal/main/r-cran-enviropra2_1.0.1-1.ca2004.1_all.deb
Size: 83772
MD5sum: 2c6b2683f6d516ff358df69dd8865a83
SHA1: a09c0e2af1b15a4b3a1382e6565a4eb6fdaa90f7
SHA256: e1b1e27411ac048c920a3e4a9143c4eb041af97058b985304e9a0c7f8ced9fa9
SHA512: 1a4662e75d944ad52becf2ad2b826d0dd5ef35edbc75c08581b7caa339f1b7f53d9e9200d2a66106a44e1126ff690fbebd418f9f9726207c652a103fda8d2725
Homepage: https://cran.r-project.org/package=EnviroPRA2
Description: CRAN Package 'EnviroPRA2' (Environmental Probabilistic Risk Assessment Tools)
 It contains functions for dose calculation for different routes, fitting
 data to probability distributions, random number generation (Monte Carlo
 simulation) and calculation of systemic and carcinogenic risks. For more
 information see the publication: Barrio-Parra et al. (2019) "Human-health
 probabilistic risk assessment: the role of exposure factors in an urban
 garden scenario" <doi:10.1016/j.landurbplan.2019.02.005>.

Package: r-cran-enviropra
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ksamples, r-cran-fitdistrplus, r-cran-truncdist
Filename: pool/dists/focal/main/r-cran-enviropra_1.0-1.ca2004.1_all.deb
Size: 85232
MD5sum: e0c74a28d08bdddd059474c76a2f8ec7
SHA1: 3580c4fadb8488ab1d15d55ca03dda82fccf3a16
SHA256: 20b1e4d18fc08bacfc6ad474e506ab14f89fe52abfe8630b3273bf012e1544cb
SHA512: dad75495e647938c16e053ce17cc24af6d619e544b36d9002ffd08512b316fce54bc1661786d17a2efe3396eb616343f52aa663606e35cca866df07786f39a7f
Homepage: https://cran.r-project.org/package=EnviroPRA
Description: CRAN Package 'EnviroPRA' (Environmental Probabilistic Risk Assessment Tools)
 Methods to perform a Probabilistic Environmental Risk assessment from
 exposure to toxic substances - i.e. USEPA (1997)
 <https://www.epa.gov/risk/guiding-principles-monte-carlo-analysis> -.

Package: r-cran-envlpaster
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aster, r-cran-catools, r-cran-mass, r-cran-aster2
Filename: pool/dists/focal/main/r-cran-envlpaster_0.1-2-1.ca2004.1_all.deb
Size: 688984
MD5sum: ae347125724a9e6217cb4b8bdce18f2d
SHA1: 301d639179f7ebe6c894faf25fa88dc1cd7d6e40
SHA256: c8596a25776a36260e40494a129b87f429a68997535260aff4cdd0631dd45237
SHA512: 9c7ca3597e3913c82a4b4e7d9de746b1f1b49887ada66e7c8b2028040a81ccbd981613bc3644597c52c0f7fba4b99db8075809f931b21d7ca1779ef076ede68a
Homepage: https://cran.r-project.org/package=envlpaster
Description: CRAN Package 'envlpaster' (Enveloping the Aster Model)
 Envelope methodology and aster modeling are combined to provide users with
 precise estimation of expected Darwinian fitness.

Package: r-cran-envnicher
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-idpmisc
Filename: pool/dists/focal/main/r-cran-envnicher_1.5-1.ca2004.1_all.deb
Size: 232416
MD5sum: 1d181a22e6bcb20b3c55a09420d95a01
SHA1: e6f753e792ac9ccca15fed0593fe58ba83ddfe1f
SHA256: fa57b1ef6bd393d93c4970c52441f0bc316e5bf6667a5ff14c6b51d0e38f7225
SHA512: 8b8e0b36a7d93380b64bf257a24a588f8f05c929fd0d63d83cc6de4f679b8802723833caa1ee96e547b1d155e7f395ccc4da5e44e875185e11c56b5ae9dbf3a8
Homepage: https://cran.r-project.org/package=EnvNicheR
Description: CRAN Package 'EnvNicheR' (Niche Estimation)
 A plot overlying the niche of multiple species is obtained: 1) to determine
 the niche conditions which favor a higher species richness, 2) to create a
 box plot with the range of environmental variables of the species, 3) to
 obtain a list of species in an area of the niche selected by the user and,
 4) to estimate niche overlap among the species.

Package: r-cran-envnj
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-bio3d, r-cran-phangorn, r-cran-philentropy, r-cran-seqinr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-envnj_0.1.3-1.ca2004.1_all.deb
Size: 144892
MD5sum: 65aed85c3cccb25dab8a985e56472198
SHA1: a2636e4799ffca742c0acd38fc508ede174a014f
SHA256: c73b27b22cc8e67664598abe72a436b45b1603e29319a2da5d56b80c553e5fc7
SHA512: 83f15172781a0fa55636c9508144ed546538e5c011f96cf3fbdc5595065ce60a306b67800ce3c2856677f8e5ff1e2fc6a395671b1138bcd8a95a09b760820f9f
Homepage: https://cran.r-project.org/package=EnvNJ
Description: CRAN Package 'EnvNJ' (Whole Genome Phylogenies Using Sequence Environments)
 Contains utilities for the analysis of protein sequences in a phylogenetic
 context.  Allows the generation of phylogenetic trees base on protein
 sequences in an alignment-independent way.  Two different methods have been
 implemented. One approach is based on the frequency analysis of n-grams,
 previously described in Stuart et al. (2002)
 <doi:10.1093/bioinformatics/18.1.100>. The other approach is based on the
 species-specific neighborhood preference around amino acids. Features
 include the conversion of a protein set into a vector reflecting these
 neighborhood preferences, pairwise distances (dissimilarity) between these
 vectors, and the generation of trees based on these distance matrices.

Package: r-cran-envoutliers
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-car, r-cran-changepoint, r-cran-ecp, r-cran-ismev, r-cran-lokern, r-cran-robustbase
Suggests: r-cran-openair
Filename: pool/dists/focal/main/r-cran-envoutliers_1.1.0-1.ca2004.1_all.deb
Size: 209176
MD5sum: 7e47694e0037e4919c12065786d05498
SHA1: ad4e7c7df30e3d4f445fba4be273d568b2040ee4
SHA256: 7648dffbbbe754349404ab8d70e714addb819497843b8715b1d837645c123a3b
SHA512: 3d2a57321463b78953bb7f88421f3fa3ece776ff05b4e1abe7b5534e34f3fcf544cc796e4ef46659b25e7292a2cf77e7500fa13d77968e8512c1a04ad38ddb8a
Homepage: https://cran.r-project.org/package=envoutliers
Description: CRAN Package 'envoutliers' (Methods for Identification of Outliers in Environmental Data)
 Three semi-parametric methods for detection of outliers in environmental
 data based on kernel regression and subsequent analysis of smoothing
 residuals. The first method (Campulova, Michalek, Mikuska and Bokal (2018)
 <DOI: 10.1002/cem.2997>) analyzes the residuals using changepoint analysis,
 the second method is based on control charts (Campulova, Veselik and
 Michalek (2017) <DOI: 10.1016/j.apr.2017.01.004>) and the third method
 (Holesovsky, Campulova and Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>)
 analyzes the residuals using extreme value theory (Holesovsky, Campulova and
 Michalek (2018) <DOI: 10.1016/j.apr.2017.06.005>).

Package: r-cran-envstat
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-rstudioapi, r-cran-yaml
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-envstat_0.0.3-1.ca2004.1_all.deb
Size: 27452
MD5sum: f6c33377c86f0ba7817a775ad63cc30c
SHA1: d24c3b011caa61422fd35af695d4b666d7561c41
SHA256: fce96d9759345880cd0405bfc77c2a86313d6e1d7f258f7d683f167fc4af8864
SHA512: 7868e8fbf775393a1391e9760b651b99eb8ea1d325e94f2b194ced381ba29310b716d8d6e3c5ef06ae3e3770b8824d0ac3db55d2d589348a47334f037df0b6e8
Homepage: https://cran.r-project.org/package=envstat
Description: CRAN Package 'envstat' (Configurable Reporting on your External Compute Environment)
 Runs a series of configurable tests against a user's compute environment.
 This can be used for checking that things like a specific directory or an
 environment variable is available before you start an analysis.
 Alternatively, you can use the package's situation report when filing error
 reports with your compute infrastructure.

Package: r-cran-envstats
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6503
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-nortest
Suggests: r-cran-lattice, r-cran-qcc, r-cran-sp, r-cran-boot, r-cran-tinytest, r-cran-covr, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-envstats_3.1.0-1.ca2004.1_all.deb
Size: 6024572
MD5sum: 1b8efa3f55ed0e544b734cc5c6421b1d
SHA1: 43b38f30c382e051d399e6be58320e8f3bf3df2b
SHA256: 67e2f5302b9f3514b506ea1182303b38635035654f0cb4fbd942627a474f381b
SHA512: 1d53d8ef32446f7325613a6df59107589148dff3bf1ccb5db29efb9f55c135a7ea1dc6835c1f3bbe8d512e90645297323b46519152d90b77ec5df017802619fe
Homepage: https://cran.r-project.org/package=EnvStats
Description: CRAN Package 'EnvStats' (Package for Environmental Statistics, Including US EPA Guidance)
 Graphical and statistical analyses of environmental data, with focus on
 analyzing chemical concentrations and physical parameters, usually in the
 context of mandated environmental monitoring.  Major environmental
 statistical methods found in the literature and regulatory guidance
 documents, with extensive help that explains what these methods do, how to
 use them, and where to find them in the literature.  Numerous built-in data
 sets from regulatory guidance documents and environmental statistics
 literature.  Includes scripts reproducing analyses presented in the book
 "EnvStats: An R Package for Environmental Statistics" (Millard, 2013,
 Springer, ISBN 978-1-4614-8455-4, <doi:10.1007/978-1-4614-8456-1>).

Package: r-cran-envvar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-lubridate, r-cran-rlang
Suggests: r-cran-httr2, r-cran-ipaddress, r-cran-spelling, r-cran-testthat, r-cran-uuid, r-cran-withr
Filename: pool/dists/focal/main/r-cran-envvar_0.1.2-1.ca2004.1_all.deb
Size: 49968
MD5sum: 768764908c7c6e1babdca8ef446c6250
SHA1: 0282ee935449e785b0c6efa8ee61511924ba8398
SHA256: 4624f5e89c7c6f570911e7bb254c588d1985fdd14867bbd568cf78cb0610910f
SHA512: faf14e4ff4ba70d84583ac4bec9e0d7e269a6272bda9bf1e0832980a008bdd94a2d8f230c42279ac46de043a82a0ceb4a72820caecfc636173a2334fc8bc3234
Homepage: https://cran.r-project.org/package=envvar
Description: CRAN Package 'envvar' (Make Working with Environment Variables Easier and MoreConsistent)
 A collection of functions that allows for easy and consistent use of
 environment variables. This includes setting, checking, retrieving,
 transforming, and validating values stored in environment variables.

Package: r-cran-eoa3
Architecture: all
Version: 1.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-actuar, r-cran-genest, r-cran-mass, r-cran-rjags, r-cran-survival, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-eoa3_1.0.0.2-1.ca2004.1_all.deb
Size: 96356
MD5sum: 5e8544a2f48ded60a0b6dffaf71849c0
SHA1: 83167154f6fc3c120f7d13af6f98c7be48a601eb
SHA256: 6d36cd0c323f33177e675fa67ccbff0ce69416bc6045d1a3b9e16639832d36d1
SHA512: c55a3a25eff33a6329525d7f4a2a91b3e352a9f68fd7de8e33d4ceb87b085a6e6c2dbf55f9feea4081485e6d7c9da54a1fb99f352055f573ddc000343387ca26
Homepage: https://cran.r-project.org/package=eoa3
Description: CRAN Package 'eoa3' (Wildlife Mortality Estimator for Low Fatality Rates andImperfect Detection)
 Evidence of Absence software (EoA) is a user-friendly application for
 estimating bird and bat fatalities at wind farms and designing search
 protocols. The software is particularly useful in addressing whether the
 number of fatalities has exceeded a given threshold and what search
 parameters are needed to give assurance that thresholds were not exceeded.
 The models are applicable even when zero carcasses have been found in
 searches, following Huso et al. (2015) <doi:10.1890/14-0764.1>, Dalthorp et
 al. (2017) <doi:10.3133/ds1055>, and Dalthorp and Huso (2015)
 <doi:10.3133/ofr20151227>.

Package: r-cran-eodhd
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eodhd_1.0.4-1.ca2004.1_all.deb
Size: 79256
MD5sum: 4878da7b060012c256ec27202716ba75
SHA1: 3cc0a0139add68e9687f220be004933985ef0445
SHA256: 2d5173b39fe990054aea512ae1911767c2683738e85d710bf8142ec8a2c28b24
SHA512: aae018316c87c48fb4019e48952cd8f01b742cf221064c3d4a2db8f2e0426f49de380c023ffd87e826f0cbdcbe3bd125c145c0543640ac2188225355d0f5df16
Homepage: https://cran.r-project.org/package=eodhd
Description: CRAN Package 'eodhd' (Official 'eodhd' API R Financial Library)
 Official 'eodhd' API R Library. It helps to get and work with financial
 data, historical data and etc. API reference available at
 <https://eodhd.com/financial-apis/>.

Package: r-cran-eodhdr2
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eodhdr2_0.5.1-1.ca2004.1_all.deb
Size: 239776
MD5sum: 5163be5b4a6059e2f10564321c4fd33e
SHA1: 6fc3f113d75ab1e7529b099772a88af7abab5b23
SHA256: 6171013a94b4f47a558bc4943775f7026c51b505d5e4261d40e70e8802528596
SHA512: b16ded693c384800b96dabffeb841287a6dc925f603141603eb9feebbceffd1865ba70573199bd644503459379e15e9b0272d88a2f8e14a991a5592f7572bd33
Homepage: https://cran.r-project.org/package=eodhdR2
Description: CRAN Package 'eodhdR2' (Official R API for Fetching Data from 'EODHD')
 Second and backward-incompatible version of R package 'eodhd'
 <https://eodhd.com/>, extended with a cache and quota system, also offering
 functions for cleaning and aggregating the financial data.

Package: r-cran-eoffice
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-officer, r-cran-rvg, r-cran-flextable, r-cran-broom, r-cran-dplyr, r-cran-magrittr, r-cran-ggplotify, r-cran-r.devices, r-cran-devemf, r-cran-magick, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-plotly
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eoffice_0.2.2-1.ca2004.1_all.deb
Size: 95412
MD5sum: 66f60920ecf433f85302e452e0e916e5
SHA1: b5c5219d8206cac53402a736ca54623877178276
SHA256: f59637ba0e42b18a97556ec203068eaeeb7162877ed20fe8267fcc5fd88c1a9d
SHA512: 5ec5d70ba838f8efe91bc16d82d312c7e302b443e49e5a54f3234d75913d480bb7efe956156c873d77ee2a28f6f0a61a70aad046f521c5ab3fa69094a03b06f9
Homepage: https://cran.r-project.org/package=eoffice
Description: CRAN Package 'eoffice' (Export or Graph and Tables to 'Microsoft' Office and ImportFigures and Tables)
 Provides wrap functions to export and import graphics and data frames in R
 to 'microsoft' office. And This package also provide write out figures with
 lots of different formats.  Since people may work on the platform without
 GUI support, the package also provide function to easily write out figures
 to lots of different type of formats. Now this package provide function to
 extract colors from all types of figures and pdf files.

Package: r-cran-eor
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-eor_0.4.0-1.ca2004.1_all.deb
Size: 183320
MD5sum: 8e3a9bd611ac3f40a335e47bbb1b6bef
SHA1: ab577dfc1a9845d0f58568ccf357855935eb69e1
SHA256: a4ca62dddeebb103a37f5b311f820d8f12babd1e9e5259d6909aa529ba761407
SHA512: 9e86612e3e5c1390c2f4a9183cd020c74c64ddce1f058d1d83e651c48891ad00627d9bda0e2c737091d60a1efd49306aa9c4f7b9d6dc4d49ed7102d81425354b
Homepage: https://cran.r-project.org/package=eoR
Description: CRAN Package 'eoR' (Data Management Package (Exposure and Occurrence Data in R))
 This data management package provides some helper classes for publicly
 available data sources (HMD, DESTATIS) in Demography. Similar to ideas
 developed in the Bioconductor project <https://bioconductor.org> we strive
 to encapsulate data in easy to use S4 objects.  If original data is provided
 in a text file, the resulting S4 object contains all information from that
 text file. But the information is somehow structured (header, footer, etc).
 Further the classes provide methods to make a subset for selected calendar
 years or selected regions. The resulting subset objects still contain the
 original header and footer information.

Package: r-cran-epade
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plotrix, r-cran-survival, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-epade_0.5.1-1.ca2004.1_all.deb
Size: 699564
MD5sum: dbb99630a99af0545ee9294dcc3a7040
SHA1: 3142280aab30325456f5226a90aa24812df501e4
SHA256: c13144dbaef12005c28773656b62db0195a067860a05e28fd97c95f38d906a42
SHA512: 2fff03aec3e22c7f2d957e7ee21436943dd25538584c5bf358f2e16f7bde8765f89ee3258256fa1547ed020fdfbdbf2529da859fd1cabdf2b9c79fe7a9a57808
Homepage: https://cran.r-project.org/package=epade
Description: CRAN Package 'epade' (Easy Plots)
 A collection of nice plotting functions directly from a data.frame with
 limited customisation possibilities.

Package: r-cran-epandist
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epandist_1.1.1-1.ca2004.1_all.deb
Size: 35760
MD5sum: 376f1969ceefec03d99b4cc684fd56e3
SHA1: feed2d4cc702baa0839c49bcf03f382ca681a5a4
SHA256: 69d2d35324593f549e97006b762a9068161bde06f3d6910d0aaafb36c091b485
SHA512: 61a818e1ec230480a6fb0321308ab6434bb1a36ddf8edd0de64c3e53cbfd02c37ccf755bdb5c8cfcc15b2f2c4beeced5d77566adaf2ac31be19d168eb3609f93
Homepage: https://cran.r-project.org/package=epandist
Description: CRAN Package 'epandist' (Statistical Functions for the Censored and UncensoredEpanechnikov Distribution)
 Analyzing censored variables usually requires the use of optimization
 algorithms. This package provides an alternative algebraic approach to the
 task of determining the expected value of a random censored variable with a
 known censoring point. Likewise this approach allows for the determination
 of the censoring point if the expected value is known. These results are
 derived under the assumption that the variable follows an Epanechnikov
 kernel distribution with known mean and range prior to censoring.
 Statistical functions related to the uncensored Epanechnikov distribution
 are also provided by this package.

Package: r-cran-epanetreader
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-epanet2toolkit, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-epanetreader_0.7.3-1.ca2004.1_all.deb
Size: 167100
MD5sum: 75b8ceb864ea1f2feda32aae16f9d775
SHA1: 7ffea5dfd80b0f7185b6ad98e9e9b80026af38ab
SHA256: 43da83507d7b4bd86814c8a798b42e1ba130f10c668c42677d6874b67dad82f2
SHA512: 6db1f6106e1c109a2b2b8230f55575aea5771be62c95902681c1b875827578a736ffad022cc051306172767b8da82ab302b1e17fa473c538b1a2bcda404aac64
Homepage: https://cran.r-project.org/package=epanetReader
Description: CRAN Package 'epanetReader' (Read Epanet Files into R)
 Reads water network simulation data in 'Epanet' text-based '.inp' and '.rpt'
 formats into R. Also reads results from 'Epanet-msx'.  Provides basic
 summary information and plots.  The README file has a quick introduction.
 See <http://www2.epa.gov/water-research/epanet> for more information on the
 Epanet software for modeling hydraulic and water quality behavior of water
 piping systems.

Package: r-cran-epca
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clue, r-cran-irlba, r-cran-matrix, r-cran-gparotation
Suggests: r-cran-elasticnet, r-cran-ggcorrplot, r-cran-tidyverse, r-cran-rmarkdown, r-cran-reshape2, r-cran-markdown, r-cran-rspectra, r-cran-matlabr, r-cran-knitr, r-cran-pma, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epca_1.1.0-1.ca2004.1_all.deb
Size: 129320
MD5sum: fd9fe0687293e7ae7ddfba7994de96a8
SHA1: d81b82f32f1ef2160beb65d4f9cecdcb932205dc
SHA256: 86e976ab3c513eb0084a706ebbad5e9947c19d27d2c2963b489dac6ceefccbbc
SHA512: 19ff99fde8d27771632e20f86f12c3ee5131e8d4a5bafd916574fa36c0ae566ba8a43dcb1b0501387937b57a7bda737eb6fc6c5e973815c820cabb36ba5a0ba0
Homepage: https://cran.r-project.org/package=epca
Description: CRAN Package 'epca' (Exploratory Principal Component Analysis)
 Exploratory principal component analysis for large-scale dataset, including
 sparse principal component analysis and sparse matrix approximation.

Package: r-cran-epcc
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-ggplot2, r-cran-httr, r-cran-cowplot, r-cran-sp, r-cran-nls2, r-cran-readxl, r-cran-raster, r-cran-proto, r-cran-rlang, r-cran-rgdal, r-cran-formattable
Filename: pool/dists/focal/main/r-cran-epcc_1.4.7-1.ca2004.1_all.deb
Size: 400720
MD5sum: a50e963e9326b51d3348878e2242788a
SHA1: 6d646380abff46fd669d6165b0bde1f199ea8907
SHA256: 6d4fe936eed546312596b74eb0baec7e57012e2eba33251e213f8f72a4d9c52e
SHA512: 83586a14f02ee70cd8a82c94fcc6eeea4c8bf311a56ee61471c99f0919cd1872895ea58181c457c4357fdedc80f06c674f3d4f8f6cd49c43be2162040218ff31
Homepage: https://cran.r-project.org/package=epcc
Description: CRAN Package 'epcc' (Simulating Populations of Ectotherms under Global Warming)
 Provides several functions that allow model and simulate the effects of
 thermal sensitivity and the exposition to different trends in environmental
 temperature on the abundance dynamics of ectotherms populations. It allows
 an easy implementation of the possible consequences of warming at global and
 local scales, constituting a useful tool for understanding the extinction
 risk of populations.  (Víctor Saldaña-Núñez, Fernando Córdova-Lepe, & Felipe
 N.  Moreno-Gómez, 2021) <doi:10.5281/zenodo.5034087>.

Package: r-cran-epcr
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4798
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-hamlet, r-cran-survival, r-cran-timeroc, r-cran-pracma, r-cran-bolstad2, r-bioc-impute
Suggests: r-cran-mass, r-cran-rocr, r-cran-c060, r-cran-matrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epcr_0.11.0-1.ca2004.1_all.deb
Size: 4724756
MD5sum: 15ba94f33e97729e1c4804351cc975dd
SHA1: 2a514e8a97b10bbd7fa3ce273a1eeb57b4eda392
SHA256: 1c874d0a6b48d07ab989a707173bd33d6db77e92e44e9d1c623b2a8bc8fd2df2
SHA512: 41f317aae09b0d85041931547a75faa574b1609453c3a117b175f7ce74aa0eb35ae033735d12caf818c899bc7fc1f025cde78f6af34bbd30be851e3f1862acb0
Homepage: https://cran.r-project.org/package=ePCR
Description: CRAN Package 'ePCR' (Ensemble Penalized Cox Regression for Survival Prediction)
 The top-performing ensemble-based Penalized Cox Regression (ePCR) framework
 developed during the DREAM 9.5 mCRPC Prostate Cancer Challenge
 <https://www.synapse.org/ProstateCancerChallenge> presented in Guinney J,
 Wang T, Laajala TD, et al. (2017) <doi:10.1016/S1470-2045(16)30560-5> is
 provided here-in, together with the corresponding follow-up work. While
 initially aimed at modeling the most advanced stage of prostate cancer,
 metastatic Castration-Resistant Prostate Cancer (mCRPC), the modeling
 framework has subsequently been extended to cover also the non-metastatic
 form of advanced prostate cancer (CRPC). Readily fitted ensemble-based model
 S4-objects are provided, and a simulated example dataset based on a
 real-life cohort is provided from the Turku University Hospital, to
 illustrate the use of the package. Functionality of the ePCR methodology
 relies on constructing ensembles of strata in patient cohorts and averaging
 over them, with each ensemble member consisting of a highly optimized
 penalized/regularized Cox regression model. Various cross-validation and
 other modeling schema are provided for constructing novel model objects.

Package: r-cran-epe4md
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4671
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-scales, r-cran-purrr, r-cran-tidyr, r-cran-readxl, r-cran-jrvfinance, r-cran-janitor, r-cran-furrr, r-cran-zoo, r-cran-lubridate, r-cran-tsibble, r-cran-stringr, r-cran-fabletools, r-cran-feasts, r-cran-tibble, r-cran-assertthat, r-cran-forcats, r-cran-future, r-cran-magrittr, r-cran-readr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-epe4md_0.1.4-1.ca2004.1_all.deb
Size: 3828884
MD5sum: a24389068e78620d96be9eb9957cdb53
SHA1: 31b47fdf1c7d6d9e30c4a7a87b9248753a583e8c
SHA256: 56d8ec38627f5f65d685939e7bffed6222d1f54fdad23ad5229d8eb8adfa6fd8
SHA512: 0eb86b5a149cc312355798d26c55e78e8a92f9ade41340267e98c2a402058a6da438a86abf1a3bd7736bacd7d6e8e6aa8faa37402032f43f27fcce0dc55d8561
Homepage: https://cran.r-project.org/package=epe4md
Description: CRAN Package 'epe4md' (EPE's 4MD Model to Forecast the Adoption of DistributedGeneration)
 EPE's (Empresa de Pesquisa Energética) 4MD (Modelo de Mercado da Micro e
 Minigeração Distribuída - Micro and Mini Distributed Generation Market
 Model) model to forecast the adoption of Distributed Generation. Given the
 user's assumptions, it is possible to estimate how many consumer units will
 have distributed generation in Brazil over the next 10 years, for example.
 In addition, it is possible to estimate the installed capacity, the amount
 of investments that will be made in the country and the monthly energy
 contribution of this type of generation.
 <https://www.epe.gov.br/sites-pt/publicacoes-dados-abertos/publicacoes/PublicacoesArquivos/publicacao-689/topico-639/NT_Metodologia_4MD_PDE_2032_VF.pdf>.

Package: r-cran-epgmr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epgmr_1.0.0-1.ca2004.1_all.deb
Size: 112052
MD5sum: 8d54e8bf4ab255553b0c2a82d08dba25
SHA1: e92a8211a5c163eebac4b3bcb7256681c347ad3a
SHA256: 8a20153ada20dc817e1ef64eece926ed347c03b047583cc8d7065933e541326a
SHA512: cba472c4a242d3a925a9cd405d965cabd23e681b355eca8034aaa146a30fd905877c5918cf3f5887844b11b8e9d0109027b7e86cd1c9dc97e0384fc5bd97f40e
Homepage: https://cran.r-project.org/package=EPGMr
Description: CRAN Package 'EPGMr' (Implementation of the Everglades Phosphorus Gradient Model)
 Everglades Phosphorus Gradient Model predicts variations in water-column P
 concentration, peat accretion rate, and soil P concentration along a
 horizontal gradient imposed by an external phosphorus load and sheet-flow
 conditions. Potential biological responses are expressed in terms of marsh
 surface area exceeding threshold criteria for water-column and soil
 phosphorus concentrations. More information of the model can be found at
 <http://www.wwwalker.net/epgm/>.

Package: r-cran-eph
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1821
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-expss, r-cran-purrr, r-cran-tibble, r-cran-stringr, r-cran-readxl, r-cran-tidyr, r-cran-zoo, r-cran-leaflet, r-cran-htmltools, r-cran-rlang, r-cran-cli, r-cran-httr, r-cran-curl, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-readr, r-cran-forcats, r-cran-httptest
Filename: pool/dists/focal/main/r-cran-eph_1.0.2-1.ca2004.1_all.deb
Size: 1394152
MD5sum: 7e03542baa24612eb0c0df3ff528261d
SHA1: 43b363042e776e8b3b2d294d46b30d6e515ec6bd
SHA256: 4d14a1ff415b401090b58ea64dffa86da9101a6696b1e58fc4f14c473db50f53
SHA512: 00eab041cb8742d530715f7e902c5059276342f684d3d8bf5ad632b8fd3100efaf4f833e9acb65dfd11a2fab7242073b1f71a9a609422a97bde99e70e27737f9
Homepage: https://cran.r-project.org/package=eph
Description: CRAN Package 'eph' (Argentina's Permanent Household Survey Data and ManipulationUtilities)
 Tools to download and manipulate the Permanent Household Survey from
 Argentina (EPH is the Spanish acronym for Permanent Household Survey).  e.g:
 get_microdata() for downloading the datasets, get_poverty_lines() for
 downloading the official poverty baskets, calculate_poverty() for the
 calculation of stating if a household is in poverty or not, following the
 official methodology.  organize_panels() is used to concatenate observations
 from different periods, and organize_labels() adds the official labels to
 the data. The implemented methods are based on INDEC (2016)
 <http://www.estadistica.ec.gba.gov.ar/dpe/images/SOCIEDAD/EPH_metodologia_22_pobreza.pdf>.
 As this package works with the argentinian Permanent Household Survey and
 its main audience is from this country, the documentation was written in
 Spanish.

Package: r-cran-epi2me2r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-taxonomizr, r-bioc-phyloseq, r-bioc-biobase, r-bioc-metagenomeseq
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-reshape2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epi2me2r_0.1.0-1.ca2004.1_all.deb
Size: 418452
MD5sum: 24a725c87807f6b1fdbd266986bec453
SHA1: e01d24e6b6270b75ea2fad7024447ec51dd52627
SHA256: d7ede312c8db099d2ba59ed313ca8c560e178bdf868e707fabab52e2855c8556
SHA512: 19a159827630e7d3ad20858d5373cb411dbba8f872f400b7d8d126019ba98b047f32f04639a5ed3641413e632882195384afd6015423ba37a3b16c484628ec26
Homepage: https://cran.r-project.org/package=epi2me2r
Description: CRAN Package 'epi2me2r' (Process Nanopore EPI2ME Output for Use in R)
 The functions in this package take WIMP and ARMA data files generated by
 Oxford Nanopore EPI2ME workflows, read them, clean them, and prepare them
 for downstream analysis.  This package was written by United States federal
 government employees in their official capacity. Therefore, it is not
 protected by copyright and is in the public domain.

Package: r-cran-epibasix
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-epibasix_1.5-1.ca2004.1_all.deb
Size: 91560
MD5sum: f9bf2c798889d397e5d7e16b0540e3f5
SHA1: 8d785038be91c1033f4d37f1ad96d4d4ce9a2a40
SHA256: 687cd8170c62b466da371cfd7f214f943519440096f23bb27211fd468b8bb235
SHA512: dda2da12bc9db178c6ef5ccc6692ea202ab8d92312a70b0a0caee010c9ffe18b9cc1f234b3f0ada6d7f1889610800bbc24717aacc219422c11f2e24625332012
Homepage: https://cran.r-project.org/package=epibasix
Description: CRAN Package 'epibasix' (Elementary Epidemiological Functions for Epidemiology andBiostatistics)
 Contains elementary tools for analysis of common epidemiological problems,
 ranging from sample size estimation, through 2x2 contingency table analysis
 and basic measures of agreement (kappa, sensitivity/specificity).
 Appropriate print and summary statements are also written to facilitate
 interpretation wherever possible.  Source code is commented throughout to
 facilitate modification.  The target audience includes advanced
 undergraduate and graduate students in epidemiology or biostatistics
 courses, and clinical researchers.

Package: r-cran-epicasting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-metrics, r-cran-wavelets
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-epicasting_0.1.0-1.ca2004.1_all.deb
Size: 20812
MD5sum: bc6b9e3a5fc40a1d2f147e3fe7df1613
SHA1: b894b0efc92ccd79b308b7299854bf67719d7698
SHA256: dd9d19fdbe69554cebce82c4b7b6b3754612b31ec2c17b5b065a213b95d573d2
SHA512: e798ae176f767bc41ec7ab0c60d01d9454d148109054cbd1ea71aa443355fb16c4996049c0c51912770ce10f1bf0497776ebbe50ac3417dea0ed6ec0c09014b5
Homepage: https://cran.r-project.org/package=epicasting
Description: CRAN Package 'epicasting' (Ewnet: An Ensemble Wavelet Neural Network for Forecasting andEpicasting)
 Method and tool for generating time series forecasts using an ensemble
 wavelet-based auto-regressive neural network architecture. This method
 provides additional support of exogenous variables and also generates
 confidence interval. This package provides EWNet model for time series
 forecasting based on the algorithm by Panja, et al. (2022) and Panja, et al.
 (2023) <arXiv:2206.10696> <doi:10.1016/j.chaos.2023.113124>.

Package: r-cran-epichains
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3880
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-bookdown, r-cran-dplyr, r-cran-epicontacts, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-truncdist
Filename: pool/dists/focal/main/r-cran-epichains_0.1.1-1.ca2004.1_all.deb
Size: 1311476
MD5sum: 9b8468eef73c289677da006f35e11779
SHA1: 8e36483290784a34e8efc09fec553bcfa775dd4d
SHA256: e47326d15dddc3acefe49e8d1b2cecc2c0f61d41ae84937c3af93a5ecc26893b
SHA512: 0bb504977a61b88e064b96318b86a5bc01af235a9e9c27949620a9be7236d896d0531505baa1db8f529f77108fbcc6d6ca485c11f80348d58f0b390977f8f588
Homepage: https://cran.r-project.org/package=epichains
Description: CRAN Package 'epichains' (Simulating and Analysing Transmission Chain Statistics UsingBranching Process Models)
 Provides methods to simulate and analyse the size and length of branching
 processes with an arbitrary offspring distribution. These can be used, for
 example, to analyse the distribution of chain sizes or length of infectious
 disease outbreaks, as discussed in Farrington et al. (2003)
 <doi:10.1093/biostatistics/4.2.279>.

Package: r-cran-epicleanr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5669
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rio, r-cran-dplyr, r-cran-tidyr, r-cran-withr, r-cran-ggplot2, r-cran-stringr, r-cran-tidyselect, r-cran-rlang, r-cran-glue, r-cran-crayon, r-cran-countrycode, r-cran-purrr, r-cran-tibble, r-cran-janitor
Suggests: r-cran-testthat, r-cran-knitr, r-cran-haven, r-cran-readxl, r-cran-openxlsx, r-cran-foreign, r-cran-yaml, r-cran-clipr, r-cran-xml2, r-cran-readods, r-cran-rmatio, r-cran-jsonlite, r-cran-fst, r-cran-feather, r-cran-arrow, r-cran-xts, r-cran-data.table, r-cran-r.utils, r-cran-stringdist, r-cran-stringi, r-cran-ggtext, r-cran-ggdist, r-cran-zoo, r-cran-wesanderson, r-cran-scales, r-cran-spsutil, r-cran-rmarkdown, r-cran-ggh4x
Filename: pool/dists/focal/main/r-cran-epicleanr_0.2.0-1.ca2004.1_all.deb
Size: 4691128
MD5sum: ec5f2c2177415b5ced84ab11405c66fb
SHA1: 72799712746501a895cfa7e4b1fc1a53c4c24629
SHA256: ddbf8d6fa59a89cd6e835447b4b37877e481efa979381a7526a44427ffa39d26
SHA512: 12188d528f496c1010272d54e8b0ca069e6677ff5c86024dfaa6c3a62ff64051e6511ded6c8c0492a3f9ef7de6e36f58e7432366df6154e42380f85c8cd9813e
Homepage: https://cran.r-project.org/package=epiCleanr
Description: CRAN Package 'epiCleanr' (A Tidy Solution for Epidemiological Data)
 Offers a tidy solution for epidemiological data. It houses a range of
 functions for epidemiologists and public health data wizards for data
 management and cleaning.

Package: r-cran-epicmodel
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1183
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-checkmate, r-cran-cli, r-cran-dagitty, r-cran-diagrammer, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-gtools, r-cran-prompter, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-shinyalert, r-cran-shinyjs, r-cran-shinythemes, r-cran-spsutil, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggdag, r-cran-ggforce, r-cran-ggraph, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epicmodel_0.2.0-1.ca2004.1_all.deb
Size: 763120
MD5sum: aada44b2503b5a3bb6c9905a2e86fe55
SHA1: a510ce4e61d007c62dbf050acefcc8fbfe92b2a2
SHA256: b214643cfc690929da077efb9dd3a28877b9927692d895d1f044ec90213cb68f
SHA512: 115363db7823096d87859347e1e46ccfdf083d9e6f8d021087c97bd48863a2d59e9781b0d49539b1685057ffe3d627db6c00b21cf8eaa829016c5ecc74191903
Homepage: https://cran.r-project.org/package=epicmodel
Description: CRAN Package 'epicmodel' (Causal Modeling in Epidemiology)
 Create causal models for use in epidemiological studies, including
 sufficient-component cause models as introduced by Rothman (1976)
 <doi:10.1093/oxfordjournals.aje.a112335>.

Package: r-cran-epico
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4829
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-incidence, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-spdep, r-cran-treemapify
Suggests: r-cran-checkmate, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epico_1.0.1-1.ca2004.1_all.deb
Size: 4211252
MD5sum: 3e55b6398fce3d815cdbe8c5828956be
SHA1: 6011c672f0c6a4a3aa0fe773a35c52efb9080c79
SHA256: 11b4e8d6b18029b92cdb1f8844965c5032f6f297471c5090f7a190506eb52c47
SHA512: c8eed7defefe5241075ce53f00acaae5c746ecef0c74e32a3c1b8260e568ea2dd6a1568fc113927291020366f4f8246b0377598ff0538bd62b3237765e5215e4
Homepage: https://cran.r-project.org/package=epiCo
Description: CRAN Package 'epiCo' (Statistical and Viz Tools for Vector-Borne Diseases in Colombia)
 Provides statistical and visualization tools for the analysis of demographic
 indicators, and spatio-temporal behavior and characterization of outbreaks
 of vector-borne diseases (VBDs) in Colombia. It implements travel times
 estimated in Bravo-Vega C., Santos-Vega M., & Cordovez J.M. (2022), and the
 endemic channel method (Bortman, M.  (1999)
 <https://iris.paho.org/handle/10665.2/8562>).

Package: r-cran-epicontacts
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3596
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-visnetwork, r-cran-threejs
Suggests: r-cran-outbreaks, r-cran-testthat, r-cran-covr, r-cran-shiny, r-cran-readr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epicontacts_1.1.4-1.ca2004.1_all.deb
Size: 1009824
MD5sum: 4bd3c7df38584e4eef3341a690744d96
SHA1: 005cf6c7a8f4b677de6e834dc6b943b083ddfde6
SHA256: 3b1888f6b44495b631018c16f4c81e6d23512f0e326e7e37125a3cca977efe2c
SHA512: 1eacf49f82821f4a7ed3d5f041f4817b6e85b33043e0f387cff2b8bf2ce6ebbe8e98eea79d3d5ae16d0ede8e20bafbddeec65f156da7543abf4573151fab97f5
Homepage: https://cran.r-project.org/package=epicontacts
Description: CRAN Package 'epicontacts' (Handling, Visualisation and Analysis of Epidemiological Contacts)
 A collection of tools for representing epidemiological contact data,
 composed of case line lists and contacts between cases. Also contains
 procedures for data handling, interactive graphics, and statistics.

Package: r-cran-epicurve
Architecture: all
Version: 2.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-isoweek, r-cran-scales, r-cran-timedate, r-cran-rcolorbrewer, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epicurve_2.4-2-1.ca2004.1_all.deb
Size: 263480
MD5sum: 9173b900bd3b7af70a42cabca896bd9d
SHA1: d90a00f467af4cc3e88476282ae9ffe2170b9e8a
SHA256: bef88f5ee32e3cfd4b9b8533fca0fe25323b6d668b27b48bfc76499dff7a4b4e
SHA512: 2ea542c169a3ba8429e8b6bd84e0b289f2a2986a5cc8c42331277f36c28273be4339d4349dbf6a70c3987429ecfc6ac1f33b6ee4f4e6eedff33441197e344a1e
Homepage: https://cran.r-project.org/package=EpiCurve
Description: CRAN Package 'EpiCurve' (Plot an Epidemic Curve)
 Creates simple or stacked epidemic curves for hourly, daily, weekly or
 monthly outcome data.

Package: r-cran-epidata
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 589
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-rvest, r-cran-xml2, r-cran-tidyr, r-cran-readr, r-cran-stringi, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-epidata_0.4.0-1.ca2004.1_all.deb
Size: 505284
MD5sum: 98dab1db558b37687568ae6bf76b8e6e
SHA1: 7e731c080cf0a7b802b6e5dc5263380bb6dc767b
SHA256: 85f21040b33be9b581bc4637093675f7832705958750e142a0244d4e0c7387b5
SHA512: 0f4faef5763b7c856e58986ac405d08a2229a1697877d5fe27deab643a439cbd5c2889552eaad8830fb65037fc3eb4a1cd24af8129804760b9491361e3a0f7ef
Homepage: https://cran.r-project.org/package=epidata
Description: CRAN Package 'epidata' (Tools to Retrieve Economic Policy Institute Data LibraryExtracts)
 The Economic Policy Institute (<https://www.epi.org/>) provides researchers,
 media, and the public with easily accessible, up-to-date, and comprehensive
 historical data on the American labor force. It is compiled from Economic
 Policy Institute analysis of government data sources. Use it to research
 wages, inequality, and other economic indicators over time and among
 demographic groups. Data is usually updated monthly.

Package: r-cran-epidatr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cachem, r-cran-checkmate, r-cran-cli, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-mmwrweek, r-cran-openssl, r-cran-purrr, r-cran-rappdirs, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-usethis, r-cran-xml2
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-mapproj, r-cran-maps, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-epidatr_1.2.1-1.ca2004.1_all.deb
Size: 412400
MD5sum: de36419b6b0466dd300c82d2b60d6b49
SHA1: 705be9ea15d98c44319e59920999fb5fd028cb27
SHA256: 6ea9b2efddb04f68eb4fd7d8ac21e7262e5e04fc203b298215f19535595c244f
SHA512: 24023464f01bfc53c3e2c0849bef31d85e2d972381d629a8a92763e940a5ef83f8763455dad22efb9c2f656c891f8d8f5cabcf8b2ced05274f4a2035b6399d8e
Homepage: https://cran.r-project.org/package=epidatr
Description: CRAN Package 'epidatr' (Client for Delphi's 'Epidata' API)
 The Delphi 'Epidata' API provides real-time access to epidemiological
 surveillance data for influenza, 'COVID-19', and other diseases for the USA
 at various geographical resolutions, both from official government sources
 such as the Center for Disease Control (CDC) and Google Trends and private
 partners such as Facebook and Change 'Healthcare'. It is built and
 maintained by the Carnegie Mellon University Delphi research group. To cite
 this API: David C. Farrow, Logan C. Brooks, Aaron 'Rumack', Ryan J.
 'Tibshirani', 'Roni' 'Rosenfeld' (2015). Delphi 'Epidata' API.
 <https://github.com/cmu-delphi/delphi-epidata>.

Package: r-cran-epidisplay
Architecture: all
Version: 3.5.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreign, r-cran-survival, r-cran-mass, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-epidisplay_3.5.0.2-1.ca2004.1_all.deb
Size: 648744
MD5sum: 39abc9f0989032320b3990b00103a353
SHA1: 113e653e3eba118eedd0fcfe36c947a4bbbba6c5
SHA256: 264a06aa4544c851ad6b41e347a60efb3bd8c1661d27e129799e1a08a5ea4042
SHA512: a13b4d2d60f8fea82b06cd7b6f1be225432e5b6c348293fbedace94836e3ea461d085b8dcd371b7bb497d961a0f84ed0750b3500c72d9b50b364280993b194f3
Homepage: https://cran.r-project.org/package=epiDisplay
Description: CRAN Package 'epiDisplay' (Epidemiological Data Display Package)
 Package for data exploration and result presentation. Full 'epicalc' package
 with data management functions is available at
 '<https://medipe.psu.ac.th/epicalc/>'.

Package: r-cran-epidm
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-odbc, r-cran-phonics, r-cran-purrr, r-cran-readr, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-epidm_1.0.4-1.ca2004.1_all.deb
Size: 104036
MD5sum: e78676ae5422a59273f011b3d3355f80
SHA1: 15a717a28064873d56b7aaaba9da7a0c3f116039
SHA256: 85e335891a7344f6153cda875e097239307c2bbd28c213e8d646c0d1ebe227c4
SHA512: c5678e326b40e4286d55acb0c38483fee1aa7c16bb10f2d49afe6907b53a793075aec3676ee961aafe7957571fec5f508fcd591bc43f594a9da4effa9dfe8e0a
Homepage: https://cran.r-project.org/package=epidm
Description: CRAN Package 'epidm' (UK Epidemiological Data Management)
 Contains utilities and functions for the cleaning, processing and management
 of patient level public health data for surveillance and analysis held by
 the UK Health Security Agency, UKHSA.

Package: r-cran-epidynamics
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-epidynamics_0.3.1-1.ca2004.1_all.deb
Size: 182872
MD5sum: 5b37d62b1c5f0fd63ef2ceae1b559cf4
SHA1: 65fab5fda3f3de2a364ddbce9379e8a6d81db431
SHA256: 1829765d1404a4547e1975e56785521e11d658df694fba7018d9bb329a6fb768
SHA512: fefd7eff196db711e8d0dec9e7fb95f6d62a88f05d8d6fd53100a5616de51d72971577fa62766f00d138733b1b61a3f28b6dab9977e9fdfd923b84595a9aa4e9
Homepage: https://cran.r-project.org/package=EpiDynamics
Description: CRAN Package 'EpiDynamics' (Dynamic Models in Epidemiology)
 Mathematical models of infectious diseases in humans and animals.  Both,
 deterministic and stochastic models can be simulated and plotted.

Package: r-cran-epiestim
Architecture: all
Version: 2.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 946
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-coarsedatatools, r-cran-reshape2, r-cran-ggplot2, r-cran-gridextra, r-cran-fitdistrplus, r-cran-coda, r-cran-incidence, r-cran-scales
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epiestim_2.2-5-1.ca2004.1_all.deb
Size: 573804
MD5sum: 323fa84917bc39052e0fbe057b6425aa
SHA1: c04d8bb40c256db74122619bb6e8e9d702a40c50
SHA256: 0a1162992bde0465be06f6f11c36120a9443f978e2fd5ba35c1e3ebfc1db798d
SHA512: 5aad990d35b8696b70f37bdaab889f6c9b6b7b91a4f23079acd039cb12693c3fdae14cbf2f0705e403a6883e7c9d3baeee80c157f2d625a5507756501756c509
Homepage: https://cran.r-project.org/package=EpiEstim
Description: CRAN Package 'EpiEstim' (Estimate Time Varying Reproduction Numbers from Epidemic Curves)
 Tools to quantify transmissibility throughout an epidemic from the analysis
 of time series of incidence as described in Cori et al. (2013)
 <doi:10.1093/aje/kwt133> and Wallinga and Teunis (2004)
 <doi:10.1093/aje/kwh255>.

Package: r-cran-epifitter
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-tidyr, r-cran-desctools, r-cran-minpack.lm, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-ggridges, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-epifitter_0.3.0-1.ca2004.1_all.deb
Size: 197728
MD5sum: fc39a5d23f3413c82af0cc79a2e65bef
SHA1: 1374a3fe15f96d73aa8e65b6ccad3df7336f17f5
SHA256: 8c504792b3cb246e42f2990dd2e285a9fd20ea97e5f8dc581494e57abc26ea96
SHA512: f3f244bc58841d84663a93b1c9e131b08d039b3e79513ca782904f80ae1748918b38e5c6cec8c5732a42d949c2781d7cab2df3a816dba9bcdd938508ee6531e7
Homepage: https://cran.r-project.org/package=epifitter
Description: CRAN Package 'epifitter' (Analysis and Simulation of Plant Disease Progress Curves)
 Analysis and visualization of plant disease progress curve data. Functions
 for fitting two-parameter population dynamics models (exponential,
 monomolecular, logistic and Gompertz) to proportion data for single or
 multiple epidemics using either linear or no-linear regression.  Statistical
 and visual outputs are provided to aid in model selection. Synthetic curves
 can be simulated for any of the models given the parameters.  See Laurence
 V. Madden, Gareth Hughes, and Frank van den Bosch (2007)
 <doi:10.1094/9780890545058> for further information on the methods.

Package: r-cran-epiflows
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3609
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-epicontacts, r-cran-leaflet, r-cran-ggmap, r-cran-geosphere, r-cran-ggplot2, r-cran-tibble, r-cran-sp, r-cran-htmltools, r-cran-visnetwork
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-outbreaks, r-cran-vdiffr, r-cran-curl, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epiflows_0.2.1-1.ca2004.1_all.deb
Size: 1131592
MD5sum: 8bda009c548e9250e4604b0299143883
SHA1: 5ee6a4de8313fda4cb4a632f60c74e6182a81cb4
SHA256: b5d7e9a7a7f8a16ae35a84ae71c80e44fd0f5337eb2b7c3d6b9e23205b5a9da9
SHA512: 3fd6d8784bbe0a65741736b707e1928d48c8a455b7a08b665dbbe9c156f5a58730303fb17fb5831de35843fea960bab8133ad8a4f8ccc9a6a88cfe8ac5ce9dc4
Homepage: https://cran.r-project.org/package=epiflows
Description: CRAN Package 'epiflows' (Predicting Disease Spread from Flow Data)
 Provides functions and classes designed to handle and visualise
 epidemiological flows between locations. Also contains a statistical method
 for predicting disease spread from flow data initially described in
 Dorigatti et al. (2017) <doi:10.2807/1560-7917.ES.2017.22.28.30572>.  This
 package is part of the RECON (<https://www.repidemicsconsortium.org/>)
 toolkit for outbreak analysis.

Package: r-cran-epiforsk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-cowplot, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-grf, r-cran-gridextra, r-cran-hmisc, r-cran-matchit, r-cran-nnet, r-cran-patchwork, r-cran-policytree, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-survey, r-cran-survival, r-cran-svyvgam, r-cran-tidyr, r-cran-vgam
Suggests: r-cran-cli, r-cran-cvxr, r-cran-furrr, r-cran-future, r-cran-ggsci, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epiforsk_0.1.1-1.ca2004.1_all.deb
Size: 901296
MD5sum: 12496d4681b1e9144612e96c4b5235c5
SHA1: af20b2428918cc93c83cdb670012f3edf98e5d24
SHA256: 36a5378caa5ead833ee67d379be02a162079bd21c39ddd013cc9dd7960a936c5
SHA512: 4ddeba5afcb5d07f03f2811fd407402736fe0a1207a4fe17b3df563e1bd0320d3cd94c8631cc3ff133a19de473ba7a365acaa8b97949315924d9fa43681881a1
Homepage: https://cran.r-project.org/package=EpiForsk
Description: CRAN Package 'EpiForsk' (Code Sharing at the Department of Epidemiological Research atStatens Serum Institut)
 This is a collection of assorted functions and examples collected from
 various projects. Currently we have functionalities for simplifying
 overlapping time intervals, Charlson comorbidity score constructors for
 Danish data, getting frequency for multiple variables, getting standardized
 output from logistic and log-linear regressions, sibling design linear
 regression functionalities a method for calculating the confidence intervals
 for functions of parameters from a GLM, Bayes equivalent for hypothesis
 testing with asymptotic Bayes factor, and several help functions for
 generalized random forest analysis using 'grf'.

Package: r-cran-epigraphdb
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3079
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-tibble, r-cran-httr, r-cran-glue, r-cran-purrr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-devtools, r-cran-usethis, r-cran-pkgdown, r-cran-styler, r-cran-lintr, r-cran-covr, r-cran-igraph, r-cran-gtools, r-cran-stringr, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-epigraphdb_0.2.3-1.ca2004.1_all.deb
Size: 1121116
MD5sum: 3bacc1fd0188e0f7179481aae2657e8f
SHA1: a9af61b99427017e6480716405da8e513d47aefb
SHA256: e216049a9e3eda3cfc3a00fc3848e1d35fab7533f70689ecf74f58f79af6f7af
SHA512: 8c19ff2b156bd24d2e5d6d7805e352e37a185b2e8de21f47a4a4cdfe16894fcdfe7d8315912ef0782e69b6b74c080ed7c5d819685a1eca5449995cabc72da2a1
Homepage: https://cran.r-project.org/package=epigraphdb
Description: CRAN Package 'epigraphdb' (Interface Package for the 'EpiGraphDB' Platform)
 The interface package to access data from the 'EpiGraphDB'
 <https://epigraphdb.org> platform.  It provides easy access to the
 'EpiGraphDB' platform with functions that query the corresponding REST
 endpoints on the API <https://api.epigraphdb.org> and return the response
 data in the 'tibble' data frame format.

Package: r-cran-epikit
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-binom, r-cran-scales, r-cran-dplyr, r-cran-rlang, r-cran-forcats, r-cran-tidyr, r-cran-tibble, r-cran-glue, r-cran-tidyselect, r-cran-ggplot2, r-cran-sf
Suggests: r-cran-testthat, r-cran-outbreaks, r-cran-covr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epikit_0.1.6-1.ca2004.1_all.deb
Size: 164420
MD5sum: 6c38f6780982e1b155e60761d15aa3d9
SHA1: b253561eef84573e2ab68b5dee95ca7d592b3954
SHA256: 0dad4c1c75190d905356d317be5a2d3349d389d468ecb435ec6fc9c8bf85fbd8
SHA512: 0d15e0d9257b16e2228825f3d2aa9af3b7903764e64bc4c82576c60dd694eafe8a3cbe3ad6c86302d6d1e0429ec510f4c4631c74b7dcd4fac3d73ed034cb227a
Homepage: https://cran.r-project.org/package=epikit
Description: CRAN Package 'epikit' (Miscellaneous Helper Tools for Epidemiologists)
 Contains tools for formatting inline code, renaming redundant columns,
 aggregating age categories, adding survey weights, finding the earliest date
 of an event, plotting z-curves, generating population counts and calculating
 proportions with confidence intervals. This is part of the 'R4Epis' project
 <https://r4epis.netlify.app/>.

Package: r-cran-epilogi
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Suggests: r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-epilogi_1.2-1.ca2004.1_all.deb
Size: 22540
MD5sum: ecd21ca42ea0018e564c173954da73f8
SHA1: 01fc5248052ae835b198d8ad9ef23f101af7b3e0
SHA256: f38a370bc5181f842df1a1165463737369379f9462eba86ab6851f1c347cae47
SHA512: 7e164092142b23a936c50792cd66d204afe7ed99d2600007c0d2163eed7fd300decaf8f8ec2b1d8df5c880d2c67b6320a8a9e878b6cc8c42537418ec970ce1d6
Homepage: https://cran.r-project.org/package=epilogi
Description: CRAN Package 'epilogi' (The 'epilogi' Variable Selection Algorithm for Continuous Data)
 The 'epilogi' variable selection algorithm is implemented for the case of
 continuous response and predictor variables. The relevant paper is:
 Lakiotaki K., Papadovasilakis Z., Lagani V., Fafalios S., Charonyktakis P.,
 Tsagris M. and Tsamardinos I. (2023). "Automated machine learning for Genome
 Wide Association Studies". Bioinformatics, 39(9): btad545.
 <doi:10.1093/bioinformatics/btad545>.

Package: r-cran-epimdr2
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3496
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-desolve, r-cran-plotly, r-cran-polspline, r-cran-phaser, r-cran-ggplot2
Suggests: r-cran-ade4, r-cran-bbmle, r-cran-fields, r-cran-forecast, r-cran-imputets, r-cran-lme4, r-cran-ncf, r-cran-nleqslv, r-cran-nlme, r-cran-nlts, r-cran-plotrix, r-cran-pomp, r-cran-rootsolve, r-cran-rwave, r-cran-rworldmap, r-cran-statnet, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-epimdr2_1.0-9-1.ca2004.1_all.deb
Size: 2357916
MD5sum: 6ee23d1a99e5a04c606c9c9f12d6305f
SHA1: 46e839944b19ae1b6099ccfb3bca0ae36eb6f269
SHA256: 48c8b212bb26c6edcc595462c513f0b62de8a2d712d3d330e874f3bf9d39ffdf
SHA512: f341bb34d3ef017755bb196c93255f43307d52c43ee13fe6cfd567210a0a3ffdb824d2ef46eca9938ffd4419a6e5350c05290f49bcd20d8eaf7c2222cbf4a297
Homepage: https://cran.r-project.org/package=epimdr2
Description: CRAN Package 'epimdr2' (Functions and Data for "Epidemics: Models and Data in R (2ndEdition)")
 Functions, data sets and shiny apps for "Epidemics: Models and Data in R
 (2nd edition)" by Ottar N. Bjornstad (2022, ISBN: 978-3-031-12055-8)
 <https://link.springer.com/book/10.1007/978-3-319-97487-3>. The package
 contains functions to study the Susceptible-Exposed-Infected-Removed SEIR
 model, spatial and age-structured Susceptible-Infected-Removed SIR models;
 time-series SIR and chain-binomial stochastic models; catalytic disease
 models; coupled map lattice models of spatial transmission and network
 models for social spread of infection. The package is also an advanced
 quantitative companion to the 'Coursera' Epidemics Massive Online Open
 Course <https://www.coursera.org/learn/epidemics>.

Package: r-cran-epimdr
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-desolve, r-cran-polspline
Suggests: r-cran-ade4, r-cran-bbmle, r-cran-fields, r-cran-forecast, r-cran-imputets, r-cran-lme4, r-cran-ncf, r-cran-nleqslv, r-cran-nlme, r-cran-nlts, r-cran-plotrix, r-cran-pomp, r-cran-rootsolve, r-cran-rwave, r-cran-statnet
Filename: pool/dists/focal/main/r-cran-epimdr_0.6-5-1.ca2004.1_all.deb
Size: 1142364
MD5sum: 9f273ab0fda61c31a0b4baab8a6c48f1
SHA1: 12c04c4e2ca386f9dd6c7b954fa736d03581f518
SHA256: bf288c2307f06e7498b6e7cff06c177944b42fb4c52ec54a523446893d5a74c2
SHA512: 61ef7d4886dfe140ccf1f27f223886ce3552351cdb62175cc143650a3d433e494aeadfeed2943ce8ade9c81cc0bb3d8e4ceb625ba9ce0437a8caf29a8ea3f0f5
Homepage: https://cran.r-project.org/package=epimdr
Description: CRAN Package 'epimdr' (Functions and Data for "Epidemics: Models and Data in R")
 Functions, data sets and shiny apps for "Epidemics: Models and Data in R" by
 Ottar N. Bjornstad (ISBN 978-3-319-97487-3)
 <https://www.springer.com/gp/book/9783319974866>. The package contains
 functions to study the S(E)IR model, spatial and age-structured SIR models;
 time-series SIR and chain-binomial stochastic models; catalytic disease
 models; coupled map lattice models of spatial transmission and network
 models for social spread of infection. The package is also an advanced
 quantitative companion to the coursera Epidemics Massive Online Open Course
 <https://www.coursera.org/learn/epidemics>.

Package: r-cran-epiomics
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggrepel, r-cran-qgcomp, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epiomics_1.2.0-1.ca2004.1_all.deb
Size: 393108
MD5sum: 0bce760b4dbc24b96e7de9fd1feb93ba
SHA1: c1b698fb9dcaafa7839d8391cf3eefb8d2ed0a0d
SHA256: 4ff377f877770b5b0d0b95d74d786bd411e50b9dccc31d96ef54679b1d6f93d0
SHA512: 81d392fe5bef0abeabec4bd36554f26038695e38479e09fc0080fcef5b5ff299677d28c7a5c46de1039fd3c331c7ed927ed30edc61653be3ca9516652bb10be0
Homepage: https://cran.r-project.org/package=epiomics
Description: CRAN Package 'epiomics' (Analysis of Omics Data in Observational Studies)
 A collection of fast and flexible functions for analyzing omics data in
 observational studies. Multiple different approaches for integrating
 multiple environmental/genetic factors, omics data, and/or phenotype data
 are implemented. This includes functions for performing omics wide
 association studies with one or more variables of interest as the exposure
 or outcome; a function for performing a meet in the middle analysis for
 linking exposures, omics, and outcomes (as described by Chadeau-Hyam et al.,
 (2010) <doi:10.3109/1354750X.2010.533285>); and a function for performing a
 mixtures analysis across all omics features using quantile-based
 g-Computation (as described by Keil et al., (2019) <doi:10.1289/EHP5838>).

Package: r-cran-epiparameter
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cachem, r-cran-checkmate, r-cran-cli, r-cran-distcrete, r-cran-distributional, r-cran-epiparameterdb, r-cran-lifecycle, r-cran-pillar, r-cran-rlang
Suggests: r-cran-bookdown, r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-epiparameter_0.4.1-1.ca2004.1_all.deb
Size: 822276
MD5sum: ccca9698bd693ef7e1949dbfd366ac68
SHA1: 5d08a0098b69d37375270346ccb8c29e7c8d3d39
SHA256: c5677234ef8177c88c91efd4727ed5a7096c3d9904e8b6685cc518ff01649ccc
SHA512: 90a13d12d1851f53cc9be74faf13a64d3532533e15bb2f9e13e44baf7d5fd9d7d1bc9dc66eab62df132908739190c9f5cf6464250f2978559e2b13e10d5c2d96
Homepage: https://cran.r-project.org/package=epiparameter
Description: CRAN Package 'epiparameter' (Classes and Helper Functions for Working with EpidemiologicalParameters)
 Classes and helper functions for loading, extracting, converting,
 manipulating, plotting and aggregating epidemiological parameters for
 infectious diseases.  Epidemiological parameters extracted from the
 literature are loaded from the 'epiparameterDB' R package.

Package: r-cran-epiparameterdb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dt, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epiparameterdb_0.1.0-1.ca2004.1_all.deb
Size: 177856
MD5sum: 07dd1f1aae0aa245af3ce2d06761c8fe
SHA1: ed962f8898aebcf978377f9e44a2214fb71d80c6
SHA256: e436e3d8490d3721826b09842df96a6e040f9ecc2f32dd1e6b041226640c1663
SHA512: 89b121452b0194a50c007dd36516caa8f04fc8b5c7dba727913a79263be6333ae1e39503aaee0dce1c195d1af8ecd91d4c16c31fc3f7ab91ec68b8dc59d9a4d1
Homepage: https://cran.r-project.org/package=epiparameterDB
Description: CRAN Package 'epiparameterDB' (Database of Epidemiological Parameters)
 A data package containing a database of epidemiological parameters. It
 stores the data for the 'epiparameter' R package.  Epidemiological parameter
 estimates are extracted from the literature.

Package: r-cran-epir
Architecture: all
Version: 2.0.84-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-biasedurn, r-cran-pander, r-cran-sf, r-cran-lubridate, r-cran-zoo, r-cran-flextable, r-cran-officer
Suggests: r-cran-mass, r-cran-dplyr, r-cran-foreign, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-plyr, r-cran-rcolorbrewer, r-cran-scales, r-cran-sp, r-cran-spdata, r-cran-spatstat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-epir_2.0.84-1.ca2004.1_all.deb
Size: 1554764
MD5sum: b402f4d1a88c965588eb7fcd243aeef8
SHA1: a1ce2ef86df9ed02c79c4193160d8bb40cb90669
SHA256: 97e3af484ed6ddbef4578fdc5f31c6ae03eb650666f0712cf73d66fbd687b09e
SHA512: a30b25f3847da00ee3736c4a84b480deb0845e56ed97ffa5b33fe36185d41aca2a6c2b8cc837298f340373398bfa695397eed8690da7b9016eb6151cdefc48b7
Homepage: https://cran.r-project.org/package=epiR
Description: CRAN Package 'epiR' (Tools for the Analysis of Epidemiological Data)
 Tools for the analysis of epidemiological and surveillance data. Contains
 functions for directly and indirectly adjusting measures of disease
 frequency, quantifying measures of association on the basis of single or
 multiple strata of count data presented in a contingency table, computation
 of confidence intervals around incidence risk and incidence rate estimates
 and sample size calculations for cross-sectional, case-control and cohort
 studies. Surveillance tools include functions to calculate an appropriate
 sample size for 1- and 2-stage representative freedom surveys, functions to
 estimate surveillance system sensitivity and functions to support scenario
 tree modelling analyses.

Package: r-cran-epireport
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3242
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-officer, r-cran-flextable, r-cran-zoo, r-cran-png, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epireport_1.0.4-1.ca2004.1_all.deb
Size: 2606400
MD5sum: 71bc26eb020d84075f165473bba45314
SHA1: 069e970fa8980aac0d6b4b63a7177829245353b1
SHA256: 0b64ef38e5e1fb9c0b3bf805da64ce0b04f651ce0ce771c67d683df52cc750eb
SHA512: 1efa3314fa657d9db3ed6b9e334eb73d2f288a3717928321f54131ea864cdad6b8cee2ea54c89eed214c11c46c5b530d62e4ef2dda2a3a0b4586920b1c3a0b19
Homepage: https://cran.r-project.org/package=EpiReport
Description: CRAN Package 'EpiReport' (Epidemiological Report)
 Drafting an epidemiological report in 'Microsoft Word' format for a given
 disease, similar to the Annual Epidemiological Reports published by the
 European Centre for Disease Prevention and Control. Through standalone
 functions, it is specifically designed to generate each disease specific
 output presented in these reports and includes: - Table with the
 distribution of cases by Member State over the last five years; -
 Seasonality plot with the distribution of cases at the European Union /
 European Economic Area level, by month, over the past five years; - Trend
 plot with the trend and number of cases at the European Union / European
 Economic Area level, by month, over the past five years; - Age and gender
 bar graph with the distribution of cases at the European Union / European
 Economic Area level.  Two types of datasets can be used: - The default
 dataset of dengue 2015-2019 data; - Any dataset specified as described in
 the vignette.

Package: r-cran-episcan
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-episcan_0.0.1-1.ca2004.1_all.deb
Size: 67316
MD5sum: c61ab8c3e61cd64665b74d6f3a060fea
SHA1: 74c2b80ce127f5c9a4f02fa8dd2c727aefb5c689
SHA256: 8ca86cfdcbf6d2921b3d8d4914c48007f54d140b98119be747d6040cb2e5878b
SHA512: 2b820e88009280a85e90bd67197e6ceba8a8b1bd12852c7ed416bf12809bb1d3b8f4cda1bdaf1374bc83ed8b75a59c03f2818a3d1933f4ac4bcc1a9c91fae157
Homepage: https://cran.r-project.org/package=episcan
Description: CRAN Package 'episcan' (Scan Pairwise Epistasis)
 Searching genomic interactions with linear/logistic regression in a
 high-dimensional dataset is a time-consuming task. This package provides
 some efficient ways to scan epistasis in genome-wide interaction studies
 (GWIS). Both case-control status (binary outcome) and quantitative phenotype
 (continuous outcome) are supported (the main references: 1. Kam-Thong, T.,
 D. Czamara, K. Tsuda, K. Borgwardt, C. M. Lewis, A. Erhardt-Lehmann, B.
 Hemmer, et al. (2011). <doi:10.1038/ejhg.2010.196>. 2. Kam-Thong, T., B.
 Pütz, N. Karbalai, B. Müller-Myhsok, and K. Borgwardt. (2011).
 <doi:10.1093/bioinformatics/btr218>.)

Package: r-cran-episemble
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3961
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools, r-cran-tidyverse, r-cran-seqinr, r-bioc-biostrings, r-cran-splitstackshape, r-cran-entropy, r-cran-party, r-cran-stringr, r-cran-tibble, r-cran-doparallel, r-cran-e1071, r-cran-caret, r-cran-randomforest, r-cran-gbm, r-cran-foreach, r-cran-ftrcool, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-episemble_0.1.1-1.ca2004.1_all.deb
Size: 848288
MD5sum: 05c18aa93d8e3f6944901354bf732ce7
SHA1: 7931cbbe061d3675ebfd792817c462f386f529af
SHA256: fa7a34d50d77aff8bd6b9a399d923e1a55adbc80f911c9f5f279d5ef7ada5828
SHA512: 59f058a20fc17456ca4c1bd534467e3781d2d614928d1c68da1e3feaa80bfe477541ab2dc1594365d6d6d713262b7f3fe847fadbbc954a7f8b56e19b7fbe633d
Homepage: https://cran.r-project.org/package=EpiSemble
Description: CRAN Package 'EpiSemble' (Ensemble Based Machine Learning Approach for PredictingMethylation States)
 DNA methylation (6mA) is a major epigenetic process by which alteration in
 gene expression took place without changing the DNA sequence. Predicting
 these sites in-vitro is laborious, time consuming as well as costly. This
 'EpiSemble' package is an in-silico pipeline for predicting DNA sequences
 containing the 6mA sites. It uses an ensemble-based machine learning
 approach by combining Support Vector Machine (SVM), Random Forest (RF) and
 Gradient Boosting approach to predict the sequences with 6mA sites in it.
 This package has been developed by using the concept of Chen et al. (2019)
 <doi:10.1093/bioinformatics/btz015>.

Package: r-cran-episensr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1156
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-actuar, r-cran-boot, r-cran-cli, r-cran-dagitty, r-cran-forcats, r-cran-ggdag, r-cran-magrittr, r-cran-trapezoid, r-cran-triangle, r-cran-truncnorm, r-cran-mass, r-cran-lifecycle
Suggests: r-cran-aplore3, r-cran-covr, r-cran-directlabels, r-cran-knitr, r-cran-lattice, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-episensr_2.0.0-1.ca2004.1_all.deb
Size: 842852
MD5sum: 9704ad335fb6cd5ef3550644a5c53ad3
SHA1: e80a1c0be4399b1f8c2a1c8c192012a71ef41348
SHA256: c6ae20da1d42af3fa98de1e43f58d390e9cf50b97761990fb59ae643145ce4ef
SHA512: a21c9623e4c6048f63c9419419052a682bc56fcadb9dd1fc9fbac4af0c9b338dccadb5773ffbc772a93cc9c1da2a35734ddb73151102c7b674d175b3d91f2990
Homepage: https://cran.r-project.org/package=episensr
Description: CRAN Package 'episensr' (Basic Sensitivity Analysis of Epidemiological Results)
 Basic sensitivity analysis of the observed relative risks adjusting for
 unmeasured confounding and misclassification of the exposure/outcome, or
 both. It follows the bias analysis methods and examples from the book by Fox
 M.P., MacLehose R.F., and Lash T.L. "Applying Quantitative Bias Analysis to
 Epidemiologic Data, second ed.", ('Springer', 2021).

Package: r-cran-episignaldetection
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 764
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-isoweek, r-cran-rmarkdown, r-cran-shiny, r-cran-surveillance
Suggests: r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-pander
Filename: pool/dists/focal/main/r-cran-episignaldetection_0.1.2-1.ca2004.1_all.deb
Size: 485660
MD5sum: 42bc6da4b4ec39c61d387f6f54382cdc
SHA1: 0d252a8cb9927c200757c8b7dfd9cb6f041263ee
SHA256: f8c03e6261066e669c1378ee703f3b1c350ca856cf2c8df83757473b17306340
SHA512: 0d2b21a71204cf27e8c5606b5e918fbc9457fb59d609eb97ee8f05dce0fed0f99e00afc8f3f7ece50641aedd37a519a0feb18a98d03fe9c963c3a3c9de6f2ee7
Homepage: https://cran.r-project.org/package=EpiSignalDetection
Description: CRAN Package 'EpiSignalDetection' (Signal Detection Analysis)
 Exploring time series for signal detection. It is specifically designed to
 detect possible outbreaks using infectious disease surveillance data at the
 European Union / European Economic Area or country level.  Automatic
 detection tools used are presented in the paper "Monitoring count time
 series in R: aberration detection in public health surveillance", by Salmon
 (2016) <doi:10.18637/jss.v070.i10>.  The package includes: - Signal
 Detection tool, an interactive 'shiny' application in which the user can
 import external data and perform basic signal detection analyses; - An
 automated report in HTML format, presenting the results of the time series
 analysis in tables and graphs.  This report can also be stratified by
 population characteristics (see 'Population' variable).  This project was
 funded by the European Centre for Disease Prevention and Control.

Package: r-cran-episimr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-desolve, r-cran-openxlsx, r-cran-dplyr, r-cran-dt, r-cran-shinythemes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-episimr_1.1-1.ca2004.1_all.deb
Size: 24056
MD5sum: 11d99570406a90bb4cb10851e6c0d338
SHA1: c8c8f7fe3c3b10fd3e4385a5fadd9c34ae1d75ee
SHA256: d64f825e4ed697681d0da8b2c2f0091c7e67a31afe076183a259efcbf23070dd
SHA512: dc34fc8ec296f8b13be32d8010961c5a906c2a43706cd07bbeb81635c9775f16038a99a7216d31adb28b82a2d1f11111a06cf78801f5677946d78f05dd7b4537
Homepage: https://cran.r-project.org/package=EpiSimR
Description: CRAN Package 'EpiSimR' (A 'Shiny' App to Simulate the Dynamics of Epidemic and EndemicDiseases Spread)
 The 'EpiSimR' package provides an interactive 'shiny' app based on
 deterministic compartmental mathematical modeling for simulating and
 visualizing the dynamics of epidemic and endemic disease spread.  It allows
 users to explore various intervention strategies, including vaccination and
 isolation, by adjusting key epidemiological parameters. The methodology
 follows the approach described by Brauer (2008)
 <doi:10.1007/978-3-540-78911-6_2>. Thanks to 'shiny' package.

Package: r-cran-episplinedensity
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nloptr, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-episplinedensity_0.0-1-1.ca2004.1_all.deb
Size: 82152
MD5sum: 1fe0a37fa3af151e79dc22c47fa6c3c9
SHA1: ce5fd4a7ffc8fae268c8d5137d6ba2c865ad776f
SHA256: 1c5adae75b21d8cdf2a124b5ed4c10752e0eafcf25e95e2865bf39c4f488def6
SHA512: de41bc635c2b6f5d7ffc324808f2303a0c44c557ecc7d56c303a3714a493a2171be4e631dea8cf953295735c46a84439d1c6afba4262deba028aee7ea0e97b1b
Homepage: https://cran.r-project.org/package=episplineDensity
Description: CRAN Package 'episplineDensity' (Density Estimation with Soft Information by ExponentialEpi-splines)
 Produce one-dimensional density estimates using exponential epi-splines. The
 user may incorporate soft information, by imposing constraints that (i)
 require unimodality; (ii) require that the density be monotone non-increase
 or non-decreasing; (iii) put upper bounds on first or second moments; (iv)
 bound the density's values at mesh points; (v) require that the estimate be
 continuous or continuously differentiable; and more.

Package: r-cran-epistasis
Architecture: all
Version: 0.0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glasso, r-cran-tmvtnorm, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-epistasis_0.0.1-1-1.ca2004.1_all.deb
Size: 194136
MD5sum: 0f3a023e37f8d7d1215439b0262128a9
SHA1: 4dc5cf04375852a62ebdcc47b2dc6e2e906f5f01
SHA256: 6851655acab6bd0eded0294bd2df732ab8de0f93456c21cec75fe270ba4d6605
SHA512: bf77dc7cb63eb6750bdedf62efd31ae4ebabdfabfcad16208e0468ddb6e94061799a9d20e209e8a123fda77c697d5b8bf75f9980a48cc3142f9f8d26682125ef
Homepage: https://cran.r-project.org/package=epistasis
Description: CRAN Package 'epistasis' (Detecting Epistatic Selection with Partially Observed GenotypeData)
 An efficient multi-core package to reconstruct an underlying network of
 genomic signatures of high-dimensional epistatic selection from partially
 observed genotype data. The phenotype that we consider is viability.  The
 network captures the conditional dependent short- and long-range linkage
 disequilibrium structure of genomes and thus reveals aberrant marker-marker
 associations that are due to epistatic selection. We target on
 high-dimensional genotype data where number of variables (markers) is larger
 than number of sample sizes (p >> n). The computations is memory-optimized
 using the sparse matrix output.

Package: r-cran-epistats
Architecture: all
Version: 1.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-epir, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epistats_1.6-2-1.ca2004.1_all.deb
Size: 402352
MD5sum: ee45ca06b48234d4a683b8d8e9381656
SHA1: bce102bf8e366baee62dbe4e6b4843fecd232933
SHA256: 14727a1ad7f7fdcd0c57b53be69c058f4d335e7166dce2a1612537c1df2cc5ba
SHA512: ebae6da65bd5bbc5ad559166dc8d8137c937e015e9e3f5b25c339ab0d430903b37671c5ec292a0dfe0aa3e43b1ce7528dfb485aa6d572c0a49286dfe5b920f92
Homepage: https://cran.r-project.org/package=EpiStats
Description: CRAN Package 'EpiStats' (Tools for Epidemiologists)
 Provides set of functions aimed at epidemiologists.  The package includes
 commands for measures of association and impact for case control studies and
 cohort studies.  It may be particularly useful for outbreak investigations
 including univariable analysis and stratified analysis.  The functions for
 cohort studies include the CS(), CSTable() and CSInter() commands.  The
 functions for case control studies include the CC(), CCTable() and CCInter()
 commands.  References - Cornfield, J. 1956. A statistical problem arising
 from retrospective studies. In Vol. 4 of Proceedings of the Third Berkeley
 Symposium, ed. J. Neyman, 135-148. Berkeley, CA - University of California
 Press.  Woolf, B. 1955. On estimating the relation between blood group
 disease.  Annals of Human Genetics 19 251-253. Reprinted in Evolution of
 Epidemiologic Ideas Annotated Readings on Concepts and Methods, ed. S.
 Greenland, pp. 108-110.  Newton Lower Falls, MA Epidemiology Resources.
 Gilles Desve & Peter Makary, 2007. 'CSTABLE Stata module to calculate
 summary table for cohort study' Statistical Software Components S456879,
 Boston College Department of Economics.  Gilles Desve & Peter Makary, 2007.
 'CCTABLE Stata module to calculate summary table for case-control study'
 Statistical Software Components S456878, Boston College Department of
 Economics.

Package: r-cran-epistemicgametheory
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epistemicgametheory_0.1.2-1.ca2004.1_all.deb
Size: 33480
MD5sum: f1b709666484fe4525c4a9268d838a8b
SHA1: e96b913a96a0da8d42367173dee696541b913b61
SHA256: 5a1cb8b7abef407c5b1ac939be0f72053427d554b8ca23597daf545c1ca00ceb
SHA512: 8c4c64ef54af15c7d7b68cf30eedfdb236b3fa1809d41c4d64783cd5de741a8619fd6ddbaa3c5a0bead76940d2b0c276cebafbb0b7e8c89baa21bae348a1c356
Homepage: https://cran.r-project.org/package=EpistemicGameTheory
Description: CRAN Package 'EpistemicGameTheory' (Constructing an Epistemic Model for the Games with Two Players)
 Constructing an epistemic model such that, for every player i and for every
 choice c(i) which is optimal, there is one type that expresses common belief
 in rationality.

Package: r-cran-epitab
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kableextra, r-cran-knitr, r-cran-mass, r-cran-survival, r-cran-xml2
Suggests: r-cran-dplyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epitab_0.2.2-1.ca2004.1_all.deb
Size: 152800
MD5sum: e4fa6b538e8b2492898123c3e7069c75
SHA1: f0e432bf7b18b98aae3a989018a2b69e95e7eeb1
SHA256: e228b2c185228f5c347ce6a54c16203983c3bcbc2bc7eac60802676fd738d449
SHA512: 35ee85fb37a4623e82408946094dda1bc5f0be01d3778ecb76ad7c88c4d342ffac67efaa4a19c9add10c262ee8518ee1e43e6c5dfaaafe81d838f766761a81d5
Homepage: https://cran.r-project.org/package=epitab
Description: CRAN Package 'epitab' (Flexible Contingency Tables for Epidemiology)
 Builds contingency tables that cross-tabulate multiple categorical variables
 and also calculates various summary measures.  Export to a variety of
 formats is supported, including: 'HTML', 'LaTeX', and 'Excel'.

Package: r-cran-epitest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-mm4lmm, r-cran-purrr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-epitest_1.0.0-1.ca2004.1_all.deb
Size: 218280
MD5sum: 3d75eab9cf5d1d9a27f4f323dcb17462
SHA1: eb823b0a237b333c4fa4ac69b0bbeb8471d533ec
SHA256: dc7ebc477da03ef28e25f57ce676184f1ecb17fab9045639aa28bf27ad54f42c
SHA512: ac3c5737e5cc3fa7375285ed6ea6d35ac671ab7cbccaf5fd80fde5c92fe76279ec647267030a55c11cef06d1153ef17fbceaf6aec24b143b7b08e4b4d4c0d3c3
Homepage: https://cran.r-project.org/package=EpiTest
Description: CRAN Package 'EpiTest' (Test for Gene x Gene Interactions in Bi-Parental Populations)
 Provides functions to test for gene x gene interactions in a bi-parental
 population of inbred lines. The data are fitted with the mixed linear model
 described in Rio et al. (2022) <doi:10.1101/2022.12.18.520958>, that
 accounts for gene x gene interactions at both the fixed effect and variance
 levels. The package also provides graphical tools to display the gene x gene
 interaction trend at the mean level and the variance component analysis.

Package: r-cran-epitools
Architecture: all
Version: 0.5-10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-epitools_0.5-10.1-1.ca2004.1_all.deb
Size: 313064
MD5sum: bf65232977fb843b45906d04be947335
SHA1: 63636212ee9cc20131f565dff09a644feacb07eb
SHA256: cc9dbfe054555fd687101b2dfd4765cde1ec1301f9046fb982f59a557f744e57
SHA512: 0cc6adff006a0fae10a053f91b175bffd77ea6fe2abb259386f1f4b2bfbeb740e30aae7926e95df3ac83c389c101c2b34f897a7865e92c3ff3c7578c2d0a7d4d
Homepage: https://cran.r-project.org/package=epitools
Description: CRAN Package 'epitools' (Epidemiology Tools)
 Tools for training and practicing epidemiologists including methods for
 two-way and multi-way contingency tables.

Package: r-cran-epitoper
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1550
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-httr, r-cran-janitor, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyverse, r-cran-readr, r-bioc-biostrings, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggseqlogo, r-cran-ggvenndiagram
Filename: pool/dists/focal/main/r-cran-epitoper_1.0.0-1.ca2004.1_all.deb
Size: 1136332
MD5sum: dcee5f093475b9d1e70eba69fd71c690
SHA1: 0b38d88777789b11571fd9f143ebf1e7730c540e
SHA256: 58c5d5ba24ecf49e67adf5491df9d3c4c485a1bb521d466eed01bfe4cf8e8ab1
SHA512: eea81fabba9de25539f97bdc757bb488a9524960ae282a6205c41f775190f1b7826574af4295f3267bdba9647d21ee5fa84852ad0d6539ca33c0f4f0dfb3fe21
Homepage: https://cran.r-project.org/package=epitopeR
Description: CRAN Package 'epitopeR' (Predict Peptide-MHC Binding)
 A suite of tools to predict peptide MHC (major histocompatibility complex)
 presentation in the context of both human and mouse. Polymorphic peptides
 between self and foreign proteins are identified. The ability of peptides to
 bind self MHC is assessed and scored. Based on half maximal inhibitory
 concentration as queried through the immune epitope database API
 <http://tools.iedb.org> using user defined methods, the foreign peptides
 most likely to be presented are output along with their predicted binding
 strength, amino acid position, the protein from which each peptide was
 derived, and the presenting allele. "References:" Vita R, Mahajan S, Overton
 JA, Dhanda SK, Martini S, Cantrell JR, Wheeler DK, Sette A, Peters B.
 <doi:10.1093/nar/gky1006>.

Package: r-cran-epitopr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-here, r-cran-httr, r-cran-janitor, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyverse, r-cran-readr, r-bioc-biostrings, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epitopr_0.1.2-1.ca2004.1_all.deb
Size: 377636
MD5sum: d8182d44707780a2e08d5f1b8fab432d
SHA1: c9385b28c7ef92d6f08091d76fdff565d342216e
SHA256: 36d1e3b42c07ca81a9f05e827d08cf22320e23447370288d7cb41aeab758515d
SHA512: d3c92daf2959dc749daf48bfc9f5fc17ad85c178774477347857773bfb62d19ae8d1a0a426e586fe2a1301755f1dd0538ee5a6e5ebf8f92bc3d42f09baa36714
Homepage: https://cran.r-project.org/package=epitopR
Description: CRAN Package 'epitopR' (Predict Peptide-MHC Binding)
 A suite of tools to predict peptide MHC (major histocompatibility complex)
 presentation in the context of both human and mouse. Polymorphic peptides
 between self and foreign proteins are identified. The ability of peptides to
 bind self MHC is assessed and scored. Based on half maximal inhibitory
 concentration as queried through the immune epitope database API
 <http://tools.iedb.org/mhcii/> using user defined methods, the foreign
 peptides most likely to be presented are output along with their predicted
 binding strength, amino acid position, the protein from which each peptide
 was derived, and the presenting allele. "References:" Vita R, Mahajan S,
 Overton JA, Dhanda SK, Martini S, Cantrell JR, Wheeler DK, Sette A, Peters
 B. <doi:10.1093/nar/gky1006>.

Package: r-cran-epitrix
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sodium, r-cran-distcrete, r-cran-stringi, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-outbreaks, r-cran-incidence, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-ggplot2, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-epitrix_0.4.0-1.ca2004.1_all.deb
Size: 184796
MD5sum: 103975b7713434227c0d5bc72c6d6312
SHA1: 5fb7d084f12b1f98009a6f99b136e0dea24c5bdc
SHA256: 662974c6fb1229972729360724f46e34426b12a2ccddc9320279b3df4ffd634d
SHA512: b8fbf0d41dc0f463ba594fb8d1d89b8fcf857ba32025db814b38c634f631d95e7a1a98198d09e39a52c084a9d71f24c942cf3c871ff71bd803f61c53dc8181fe
Homepage: https://cran.r-project.org/package=epitrix
Description: CRAN Package 'epitrix' (Small Helpers and Tricks for Epidemics Analysis)
 A collection of small functions useful for epidemics analysis and infectious
 disease modelling. This includes computation of basic reproduction numbers
 from growth rates, generation of hashed labels to anonymize data, and
 fitting discretized Gamma distributions.

Package: r-cran-epitweetr
Architecture: all
Version: 2.2.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4772
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bit64, r-cran-dplyr, r-cran-crul, r-cran-curl, r-cran-dt, r-cran-emayili, r-cran-future, r-cran-httpuv, r-cran-httr, r-cran-htmltools, r-cran-jsonlite, r-cran-keyring, r-cran-knitr, r-cran-lifecycle, r-cran-ggplot2, r-cran-janitor, r-cran-magrittr, r-cran-plotly, r-cran-processx, r-cran-rtweet, r-cran-readxl, r-cran-rlang, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-openxlsx, r-cran-plyr, r-cran-shiny, r-cran-sp, r-cran-stringr, r-cran-tibble, r-cran-tidyverse, r-cran-tidytext, r-cran-xtable, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-epitweetr_2.2.16-1.ca2004.1_all.deb
Size: 3411352
MD5sum: 4df7e0f21feaf50847794830866dc005
SHA1: ac21e33aae84bc8f4ca05524bd1a4c278bda80f0
SHA256: a3383084020ef6a3199739c8c833eba1a6f5ccad650f7482b8a26bd9f57fe8d6
SHA512: 2e5db9c63c31e2213673cbecb7febddb218e8cd92104b21da4540ff8e532640d7e5085a30289779fb714a520ddf0f0d858894949f3225fd78b72243cdacf834b
Homepage: https://cran.r-project.org/package=epitweetr
Description: CRAN Package 'epitweetr' (Early Detection of Public Health Threats from 'Twitter' Data)
 It allows you to automatically monitor trends of tweets by time, place and
 topic aiming at detecting public health threats early through the detection
 of signals (e.g. an unusual increase in the number of tweets). It was
 designed to focus on infectious diseases, and it can be extended to all
 hazards or other fields of study by modifying the topics and keywords. More
 information is available in the 'epitweetr' peer-review publication
 (doi:10.2807/1560-7917.ES.2022.27.39.2200177).

Package: r-cran-epiworldrshiny
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-ggplot2, r-cran-epiworldr, r-cran-plotly, r-cran-bslib
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-epiworldrshiny_0.2.3-1.ca2004.1_all.deb
Size: 283236
MD5sum: cfc3efc4726af645236026966e762ebf
SHA1: 32a85f92959dea8574105cde52577aae8179348f
SHA256: a3a26baed858227667ac58292cc6b2ab82ff9d48460d8f523b4d2e6be4b4aa5d
SHA512: ee3b822f66e1645fc1384227dfe17653b325b791f84fea26c1c92da5bd3638fc3cc9334b10b9f572fe6dc9a6eb9b5249721f0aabae8154c8a28ea0035f1ec50a
Homepage: https://cran.r-project.org/package=epiworldRShiny
Description: CRAN Package 'epiworldRShiny' (A 'shiny' Wrapper of the R Package 'epiworldR')
 R 'shiny' web apps for epidemiological Agent-Based Models. It provides a
 user-friendly interface to the Agent-Based Modeling (ABM) R package
 'epiworldR' (Meyer et al., 2023) <DOI:10.21105/joss.05781>. Some of the main
 features of the package include the Susceptible-Infected-Susceptible (SIS),
 Susceptible-Infected-Recovered (SIR), and
 Susceptible-Exposed-Infected-Recovered (SEIR) models. 'epiworldRShiny'
 provides a web-based user interface for running various epidemiological
 ABMs, simulating interventions, and visualizing results interactively.

Package: r-cran-eplot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eplot_1.0-1.ca2004.1_all.deb
Size: 33320
MD5sum: 96957a15c041290c34537116d6aba414
SHA1: f4002becc77e1ecc0f9997c885405d3353669356
SHA256: 0fea824cdf2e614eb34ad483da085ee055097a3fa8274e29ea3420c731f149ef
SHA512: 959cf02438c1264d99ccd450eb1a27281e15d528aeceb5667b3d4da4a8d1c49619db8a6353b40429b9484b2d8a1c5f9d5356cb82b11c41d4bbdc9e478182e938
Homepage: https://cran.r-project.org/package=Eplot
Description: CRAN Package 'Eplot' (Plotting longitudinal series)
 Aim: Adjust the graphical parameters to create nicer longitudinal series
 plots. The default set of graphical parameters is very general, and can be
 improved upon when we are interested in plotting data points observed over
 time. Functions facilitate plotting those kind of series, univariate plots,
 bivariate plots (with vertical axis on both left and right hand sides),
 multivariate plots and plots which allow to examine whether a new
 observation is 'unusual' via construction and visualization of prediction
 intervals around it.

Package: r-cran-eplsim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-citools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eplsim_0.1.1-1.ca2004.1_all.deb
Size: 129852
MD5sum: 40694ef91650521d3be7e1939c6c8a15
SHA1: 2ed94ebc5b50fc7e34fac5b2b8b2fec270bbee7b
SHA256: ba68b4b8b99002a93a4bd26df1ee8c0f909109f6bf6995fc9f919ddca06f7ab0
SHA512: 3fd71031935979aaf4b460dbbfc4f224c1f4093e444a2fa67c2e4fa59597c030cd7369357777c25e28ab8c71ba849176949fa84dbfee99844d04571496db30c4
Homepage: https://cran.r-project.org/package=EPLSIM
Description: CRAN Package 'EPLSIM' (Partial Linear Single Index Models for Environmental MixtureAnalysis)
 Collection of ancillary functions and utilities for Partial Linear Single
 Index Models for Environmental mixture analyses, which currently provides
 functions for scalar outcomes. The outputs of these functions include the
 single index function, single index coefficients, partial linear
 coefficients, mixture overall effect, exposure main and interaction effects,
 and differences of quartile effects. In the future, we will add functions
 for binary, ordinal, Poisson, survival, and longitudinal outcomes, as well
 as models for time-dependent exposures. See Wang et al (2020)
 <doi:10.1186/s12940-020-00644-4> for an overview.

Package: r-cran-eplusr
Architecture: all
Version: 0.16.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4198
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-callr, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-lubridate, r-cran-processx, r-cran-r6, r-cran-rsqlite, r-cran-stringi, r-cran-units
Suggests: r-cran-hms, r-cran-decido, r-cran-rgl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eplusr_0.16.2-1.ca2004.1_all.deb
Size: 4058024
MD5sum: a067ef5b73cc63ec20153313f0756602
SHA1: 4381c66f1f7c23f4299a81270c0ff419969eb5a0
SHA256: 6bc3937e8ae697d60dcea09de8fb6ab711ad8db003130669d793cabfa6382788
SHA512: 5037899410395b6f30a241538907b9dc24d41bbf96d0cf68c30e0119a04ce7a72dcccf7d5d4c22f780afe64d169bb99374020a09bf85d772ad5c70bfb6b8d21e
Homepage: https://cran.r-project.org/package=eplusr
Description: CRAN Package 'eplusr' (A Toolkit for Using Whole Building Simulation Program'EnergyPlus')
 A rich toolkit of using the whole building simulation program
 'EnergyPlus'(<https://energyplus.net>), which enables programmatic
 navigation, modification of 'EnergyPlus' models and makes it less painful to
 do parametric simulations and analysis.

Package: r-cran-eply
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eply_0.1.2-1.ca2004.1_all.deb
Size: 38956
MD5sum: 258c01d5f31a030620e6509a0d342c00
SHA1: 119ecd5ca5c49a1e7d824d65a47253b3fdb6d187
SHA256: e06e1ae190731937978bb6443c8acf89bdcb80bc36612934765cfd2039f4e578
SHA512: 8a9b94db72c395064bc59d68fa8b11c75530a81011f605ea977781d8ede3fd88f16d973e088597a3ad409a5503799ae98a89a180c75b3bbaded63fb31f5f02c9
Homepage: https://cran.r-project.org/package=eply
Description: CRAN Package 'eply' (Apply a Function Over Expressions)
 Evaluate a function over a data frame of expressions.

Package: r-cran-epmrob
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-robustbase, r-cran-mass
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-epmrob_0.1-1.ca2004.1_all.deb
Size: 47612
MD5sum: 02021c158d8c990b88ecbf954db8ce92
SHA1: 6a937c28f7a6b5256e54cb9425bfaf2450dce823
SHA256: 0b9ed1fde865d44bec52607980326d679e3f929a9322e3829f211e3f28bf4ec1
SHA512: 115bfe1f3c43ce60232793d19bd0707c3340684b6286822af62db59543c861d8669c63d6998746491620ade32095a7b82d5356bf16620c8dda8353a75c0ea401
Homepage: https://cran.r-project.org/package=epmrob
Description: CRAN Package 'epmrob' (Robust Estimation of Probit Models with Endogeneity)
 Package provides a set of tools for robust estimation and inference for
 probit model with endogenous covariates. The current version contains a
 robust two-step estimator. For technical details, see Naghi, Varadi and
 Zhelonkin (2022), <doi:10.1016/j.ecosta.2022.05.001>.

Package: r-cran-epo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-rlang, r-cran-xts
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epo_0.1.0-1.ca2004.1_all.deb
Size: 17080
MD5sum: eb371b3aa7a93b4724844f1bddb254f5
SHA1: 625d14ae49afe247c1404bd38d53e0cad37a1899
SHA256: 6a95031d4a63c29b6e559e669f051fc3b0956678bc8679bc2b190408332fd4d2
SHA512: 44c64a4b177079f96fa35d2db72ea5d49e95579edbd7faff5e4bb263cffb9ae3bb7d2fda5e653f68655d955c538bc110f716f9e21a41501a26db314ad3ced7ff
Homepage: https://cran.r-project.org/package=epo
Description: CRAN Package 'epo' (Enhanced Portfolio Optimization (EPO))
 Implements the Enhanced Portfolio Optimization (EPO) method as described in
 Pedersen, Babu and Levine (2021) <doi:10.2139/ssrn.3530390>.

Package: r-cran-epoc
Architecture: all
Version: 0.2.6-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lassoshooting, r-cran-matrix, r-cran-irr, r-cran-elasticnet, r-cran-survival
Suggests: r-bioc-graph
Filename: pool/dists/focal/main/r-cran-epoc_0.2.6-1.1-1.ca2004.1_all.deb
Size: 189472
MD5sum: 8d1f256c69e0d540b61350934f1e3091
SHA1: 79c557b9b734c8b69937625845f28f4200a6ec3d
SHA256: 8ad7c9bdc7a5bc8cefde20777923834177c0ed03ad892a24fa1fd77194a16c57
SHA512: 9e9f66d6c64f74c6a6916d7d6d71b7ec12c5771e317c9628d29d4725dce9b8f02f7feb9b4ff3f9477ac75ac8230e0e19f7342808e57848bd8f8044d228932ab2
Homepage: https://cran.r-project.org/package=epoc
Description: CRAN Package 'epoc' (Endogenous Perturbation Analysis of Cancer)
 Estimates sparse matrices A or G using fast lasso regression from mRNA
 transcript levels Y and CNA profiles U. Two models are provided, EPoC A
 where AY + U + R = 0 and EPoC G where Y = GU + E, the matrices R and E are
 so far treated as noise. For details see the manual page of 'lassoshooting'
 and the article Rebecka Jörnsten, Tobias Abenius, Teresia Kling, Linnéa
 Schmidt, Erik Johansson, Torbjörn E M Nordling, Bodil Nordlander, Chris
 Sander, Peter Gennemark, Keiko Funa, Björn Nilsson, Linda Lindahl, Sven
 Nelander (2011) <doi:10.1038/msb.2011.17>.

Package: r-cran-epocakir
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-ellipsis, r-cran-rlang, r-cran-units, r-cran-lubridate, r-cran-magrittr
Suggests: r-cran-usethis, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-epocakir_0.9.9-1.ca2004.1_all.deb
Size: 130852
MD5sum: 8519b72eba1205a0e5c789d4ed54815e
SHA1: 5a4d4fc9468f7a86f72270888d415fbb60b84433
SHA256: 177da3c69d8c8cc5b82d6bfbd19a71a6607b18f7f5e641804b657b39d514f177
SHA512: cd43834c5eeb158d63c2a987e8913dde912d7d7ab1ac1badf4bdfe6aa71ef747d235ebe8ea6937ea9c15fad3b0ded660800ec3f263830e5bd6cb51307c2ef846
Homepage: https://cran.r-project.org/package=epocakir
Description: CRAN Package 'epocakir' (Clinical Coding of Patients with Kidney Disease)
 Clinical coding and diagnosis of patients with kidney using clinical
 practice guidelines. The guidelines used are the evidence-based KDIGO
 guidelines, see <https://kdigo.org/guidelines/> for more information.  This
 package covers acute kidney injury (AKI), anemia, and chronic kidney disease
 (CKD).

Package: r-cran-eponge
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eponge_0.1.0-1.ca2004.1_all.deb
Size: 3363784
MD5sum: 9c4ae96b4b3192f824031f02a195aa78
SHA1: ee97167744cb38aa740af41c5e22006a8625da54
SHA256: 27f019b444a115ba49f47dcf34afb011e99847c3079da37db198273cfc20c244
SHA512: 7acde7e1948b4d37318a4929b2843bb6967b39454764657660b5639c1c168d926153f50b80fe3ecc9c63ef48e9c9a6c9896c0f3239aecf97e8ea9a6bca258b93
Homepage: https://cran.r-project.org/package=eponge
Description: CRAN Package 'eponge' (Keep Your Environment Clean)
 Provides a set of functions, which facilitates removing objects from an
 environment.  It allows to delete objects specified with regular expression
 or with other conditions (e.g. if object is numeric), using one function
 call.

Package: r-cran-epos
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hash, r-cran-ggplot2, r-cran-testthat, r-cran-gridextra, r-cran-topklists, r-cran-stringr, r-cran-xtable, r-cran-mongolite, r-cran-venndiagram, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epos_1.1-1.ca2004.1_all.deb
Size: 436468
MD5sum: 6d0b3cf488c5ad4c4a21c052584199a8
SHA1: fb6c1867af08ba202b93ed614d4719081f14119a
SHA256: 2c420cd381e440dbc942186a68233cb5906c3d3e4ae2a73c259fe763d7960688
SHA512: c7a6128ea304270c6c924da124d073016debd99352cea17006e268d916db6c6e0f79302abad0edd39d1f1feb2c95a442e2c220188abe00accd13e24f83cfac98
Homepage: https://cran.r-project.org/package=epos
Description: CRAN Package 'epos' (Epilepsy Ontologies' Similarities)
 Analysis and visualization of similarities between epilepsy ontologies based
 on text mining results by comparing ranked lists of co-occurring drug terms
 in the BioASQ corpus. The ranked result lists of neurological drug terms
 co-occurring with terms from the epilepsy ontologies EpSO, ESSO, EPILONT,
 EPISEM and FENICS undergo further analysis. The source data to create the
 ranked lists of drug names is produced using the text mining workflows
 described in Mueller, Bernd and Hagelstein, Alexandra (2016)
 <doi:10.4126/FRL01-006408558>, Mueller, Bernd et al. (2017)
 <doi:10.1007/978-3-319-58694-6_22>, Mueller, Bernd and Rebholz-Schuhmann,
 Dietrich (2020) <doi:10.1007/978-3-030-43887-6_52>, and Mueller, Bernd et
 al. (2022) <doi:10.1186/s13326-021-00258-w>.

Package: r-cran-epoxy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1529
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-and, r-cran-glue, r-cran-htmltools, r-cran-knitr, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-scales, r-cran-whisker
Suggests: r-cran-cleanrmd, r-cran-commonmark, r-cran-dbplyr, r-cran-debugme, r-cran-dplyr, r-cran-pandoc, r-cran-shiny, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epoxy_1.0.0-1.ca2004.1_all.deb
Size: 968952
MD5sum: b3dcb81d364cc0acb61996e2664e96c6
SHA1: 105587123de7c76bbd1fd6de0d707b133e72e746
SHA256: 24fd7c8b7781ddce55a04f16414ad64acba3f193670c6da40966934e39ea1b51
SHA512: 27f008c4f4467cf63764f05f265ac3d0a0dd532779e1b72abc4ff6ed150567fb91405ca1aa6b07b8c23f798dc58267dba926864ae8e7520b3398d5b60a71b1c0
Homepage: https://cran.r-project.org/package=epoxy
Description: CRAN Package 'epoxy' (String Interpolation for Documents, Reports and Apps)
 Extra strength 'glue' for data-driven templates. String interpolation for
 'Shiny' apps or 'R Markdown' and 'knitr'-powered 'Quarto' documents, built
 on the 'glue' and 'whisker' packages.

Package: r-cran-epp
Architecture: all
Version: 0.3.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 908
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-sf, r-cran-rgeos, r-cran-maptools, r-cran-flexclust, r-cran-plyr, r-cran-osrm, r-cran-deldir, r-cran-dplyr, r-cran-rgdal, r-cran-leaflet, r-cran-leaflet.extras, r-cran-nngeo, r-cran-curl, r-cran-httr, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-markdown, r-cran-rstudioapi, r-cran-remotes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epp_0.3.6.1-1.ca2004.1_all.deb
Size: 312300
MD5sum: ceeadb32090188c57bc0a0fc3e5c5350
SHA1: 4862e5b894a15dcccc1dc671bf027ac05d408daa
SHA256: 8ae4d92c0875a6399a10c239a0fdd63c1f1a5dadfc848dd4b2e8bbcfb4ca50b5
SHA512: 38a28142c5a17e7dba7eb0e389bb73adecad2dbeb69712b221bf7c580013c3c3775aa9b6b6c4ef1537c56deb552169dd766b7937e29dc33c2d128de914a58b8e
Homepage: https://cran.r-project.org/package=EPP
Description: CRAN Package 'EPP' (Evaluation of Proximity Programs)
 A toolbox for coverage evaluation of proximity programs.

Package: r-cran-epr
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-epr_3.0-1.ca2004.1_all.deb
Size: 96024
MD5sum: dd9b06103662ea3d23113ee650a9c074
SHA1: 813e3aaab7af21d4e0ba23ca950b3d9216cb8e2a
SHA256: b9b0076de2717901e37d977becf30b86a37df85fbe3ad1bb7e1e07748d20a0aa
SHA512: 925c5567666928829693d6207aef266aa2cb5207ed36619d9aa624de738a1ea415cb4cf402b7fb83bf55a156b89fb753881a225df96950fe0a62c1b710e894b1
Homepage: https://cran.r-project.org/package=epr
Description: CRAN Package 'epr' (Easy Polynomial Regression)
 Performs analysis of polynomial regression in simple designs with
 quantitative treatments.

Package: r-cran-epsiwal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epsiwal_0.1.0-1.ca2004.1_all.deb
Size: 29280
MD5sum: 57a561776d2b2631f4f8b3321de0bc50
SHA1: 5acdd80efc5f595f6a1ea06e387853b275b1f997
SHA256: e74b54e5525d8e6199a274126b47352e89ffe511d77be9c2e78b60bcd63d9a23
SHA512: 02fb9270f7a06c97dfef8c197ccdcdb8c4841d99d23962435be4e34ec2592d7393e47077cfc2e29a0273b5f466b1a452af60ec618696aa8a929349284cb8c162
Homepage: https://cran.r-project.org/package=epsiwal
Description: CRAN Package 'epsiwal' (Exact Post Selection Inference with Applications to the Lasso)
 Implements the conditional estimation procedure of Lee, Sun, Sun and Taylor
 (2016) <doi:10.1214/15-AOS1371>.  This procedure allows hypothesis testing
 on the mean of a normal random vector subject to linear constraints.

Package: r-cran-ept
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ept_0.7.6-1.ca2004.1_all.deb
Size: 156088
MD5sum: 07cd32ccaf7e047c0edca8dfc0db772b
SHA1: f5dff2a7a53d1b4c6134b1e740779b263f45d472
SHA256: 5a87bbb51a3cce3538e78c3d14536caa55631f41031028f0374b9efdd803093b
SHA512: feb34487e5259ff0c56fb31fdb972325d6e419be314c2c923ac82fed194a11af301a08ff4d11ee2e270c5fcff3096c43a9e6c65512720533d7c7be91190dec76
Homepage: https://cran.r-project.org/package=EPT
Description: CRAN Package 'EPT' (Ensemble Patch Transform, Visualization and Decomposition)
 For multiscale analysis, this package carries out ensemble patch transform,
 its visualization and multiscale decomposition. The detailed procedure is
 described in Kim et al. (2020), and Oh and Kim (2020). D. Kim, G. Choi,
 H.-S. Oh, Ensemble patch transformation: a flexible framework for
 decomposition and filtering of signal, EURASIP Journal on Advances in Signal
 Processing 30 (2020) 1-27 <doi:10.1186/s13634-020-00690-7>. H.-S. Oh, D.
 Kim, Image decomposition by bidimensional ensemble patch transform, Pattern
 Recognition Letters 135 (2020) 173-179 <doi:10.1016/j.patrec.2020.03.029>.

Package: r-cran-epts
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-eefanalytics, r-cran-lme4, r-cran-ggplot2, r-cran-ggpubr, r-cran-mvtnorm, r-cran-coda, r-cran-mcmcvis, r-cran-dplyr, r-cran-magrittr, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-epts_1.2.2-1.ca2004.1_all.deb
Size: 190416
MD5sum: 82e6e57b14a494379d1888af8608b5f8
SHA1: 898ca016ee372b1696554a68b05cab058fec9b9e
SHA256: 6898b195a01227b71984dc7592207f04527725987e12aa7de8e03917fe9c76a6
SHA512: 2e43867e3c54c3b529085582f50a2a64095ca8fa9f7d0403967b7c37ec613bfd0d04e588c057ae14018c246196d438a3ebedaf2f63dde9191358fed17f0b7031
Homepage: https://cran.r-project.org/package=epts
Description: CRAN Package 'epts' (Educational Platform Trials Simulator)
 Simulating multi-arm cluster-randomized, multi-site, and simple randomized
 trials. Includes functions for conducting multilevel analyses using both
 Bayesian and Frequentist methods. Supports futility and superiority analyses
 through Bayesian approaches, along with visualization tools to aid
 interpretation and presentation of results.

Package: r-cran-epubr
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 648
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-xslt, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-epubr_0.6.5-1.ca2004.1_all.deb
Size: 522472
MD5sum: 79d49d6ad01bdc086e67546e1173fef7
SHA1: 6ae4df16c6b97cefe6acd04a71326efbffd4d750
SHA256: c9d9ad030f3d5027159d9b997f8bf8d0c5fc2adaa8b2b1496ead0871412c6ee6
SHA512: afdb62ce1276f434f548a39cb48b1b42ed60394a92e87eeac0d40c552f0a3e30c8daf4b037a38d65c99507c9c0158f461ea63ed719f8eb87784e715f71dccb46
Homepage: https://cran.r-project.org/package=epubr
Description: CRAN Package 'epubr' (Read EPUB File Metadata and Text)
 Provides functions supporting the reading and parsing of internal e-book
 content from EPUB files.  The 'epubr' package provides functions supporting
 the reading and parsing of internal e-book content from EPUB files.  E-book
 metadata and text content are parsed separately and joined together in a
 tidy, nested tibble data frame.  E-book formatting is not completely
 standardized across all literature.  It can be challenging to curate parsed
 e-book content across an arbitrary collection of e-books perfectly and in
 completely general form, to yield a singular, consistently formatted output.
 Many EPUB files do not even contain all the same pieces of information in
 their respective metadata.  EPUB file parsing functionality in this package
 is intended for relatively general application to arbitrary EPUB e-books.
 However, poorly formatted e-books or e-books with highly uncommon formatting
 may not work with this package.  There may even be cases where an EPUB file
 has DRM or some other property that makes it impossible to read with
 'epubr'.  Text is read 'as is' for the most part. The only nominal changes
 are minor substitutions, for example curly quotes changed to straight
 quotes.  Substantive changes are expected to be performed subsequently by
 the user as part of their text analysis.  Additional text cleaning can be
 performed at the user's discretion, such as with functions from packages
 like 'tm' or 'qdap'.

Package: r-cran-epwshiftr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-eplusr, r-cran-fst, r-cran-future.apply, r-cran-jsonlite, r-cran-pcict, r-cran-progressr, r-cran-psychrolib, r-cran-r6, r-cran-rappdirs, r-cran-rnetcdf, r-cran-units
Suggests: r-cran-testthat, r-cran-curl, r-cran-mockery, r-cran-withr, r-cran-pingr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-epwshiftr_0.1.4-1.ca2004.1_all.deb
Size: 462164
MD5sum: a5a16f8d98ce4ad0952188ef35495ba0
SHA1: 9181bf431275239e06b30c2464d9bcb5d33f9f6a
SHA256: eb623555570f1620ca046e986a2cfaee78447ebcb76d8a71a7581ed6acbbbf8c
SHA512: 12437e1617242a794de483479ce611ae14362a520a0eb3c8ba7af665dff00a227872e555ccdb62c79669f8b44bb94bf037f8b5998b95243339768ca5ff1e917d
Homepage: https://cran.r-project.org/package=epwshiftr
Description: CRAN Package 'epwshiftr' (Create Future 'EnergyPlus' Weather Files using 'CMIP6' Data)
 Query, download climate change projection data from the 'CMIP6' (Coupled
 Model Intercomparison Project Phase 6) project
 <https://pcmdi.llnl.gov/CMIP6/> in the 'ESGF' (Earth System Grid Federation)
 platform <https://esgf.llnl.gov>, and create future 'EnergyPlus'
 <https://energyplus.net> Weather ('EPW') files adjusted from climate changes
 using data from Global Climate Models ('GCM').

Package: r-cran-epxtor
Architecture: all
Version: 0.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-httr
Filename: pool/dists/focal/main/r-cran-epxtor_0.4-1-1.ca2004.1_all.deb
Size: 34820
MD5sum: 2c0e0a6a24fcf0f7275554d22c4ccf7b
SHA1: 8634560beb4eaf8c487875aa570352f2f33eb1fb
SHA256: 70d13297ffc2162a82ecb636e7019d9a31daf4d35c3c91df4c49fd9c1edf7aef
SHA512: afafe0117c4cacd4cc7f9c8a090921d3d97f8194905279edf39c253e36f6a810d02d11844f937b51fce7e089167a19609a953e02c89497a3ee588e1c97eaeb57
Homepage: https://cran.r-project.org/package=epxToR
Description: CRAN Package 'epxToR' (Import 'Epidata' XML Files '.epx')
 Import data from 'Epidata' XML files '.epx' and convert it to R data
 structures.

Package: r-cran-eq5d
Architecture: all
Version: 0.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3722
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-testthat, r-cran-shiny, r-cran-dt, r-cran-mime, r-cran-readxl, r-cran-ggplot2, r-cran-ggiraph, r-cran-ggiraphextra, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-fsa, r-cran-pmcmrplus, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-eq5d_0.16.0-1.ca2004.1_all.deb
Size: 3039072
MD5sum: f2dcc88df6b493d8e3fa3a261435b255
SHA1: 385359124c212cf77102ea3d5aa8e89eaa9acd2c
SHA256: 9e871cee173868dddd8b717182c608bacf9ea27c1fcd4c0a9dee512541e9f392
SHA512: 2487e66f49142981fc62331bfb58e684ec5395af1b3c9de12694070bfed6a1dceed9b5780f7b48605ec472a0114aff944deb8c5d5a4e8f2c1ea9acdfeccda302
Homepage: https://cran.r-project.org/package=eq5d
Description: CRAN Package 'eq5d' (Methods for Analysing 'EQ-5D' Data and Calculating 'EQ-5D' IndexScores)
 EQ-5D is a popular health related quality of life instrument used in the
 clinical and economic evaluation of health care. Developed by the EuroQol
 group <https://euroqol.org/>, the instrument consists of two components:
 health state description and evaluation. For the description component a
 subject self-rates their health in terms of five dimensions; mobility,
 self-care, usual activities, pain/discomfort, and anxiety/depression using
 either a three-level (EQ-5D-3L,
 <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-3l/>)
 or a five-level (EQ-5D-5L,
 <https://euroqol.org/information-and-support/euroqol-instruments/eq-5d-5l/>)
 scale. Frequently the scores on these five dimensions are converted to a
 single utility index using country specific value sets, which can be used in
 the clinical and economic evaluation of health care as well as in population
 health surveys. The eq5d package provides methods to calculate index scores
 from a subject's dimension scores. 32 TTO and 11 VAS EQ-5D-3L value sets
 including those for countries in Szende et al (2007)
 <doi:10.1007/1-4020-5511-0> and Szende et al (2014)
 <doi:10.1007/978-94-007-7596-1>, 47 EQ-5D-5L EQ-VT value sets, the EQ-5D-5L
 crosswalk value sets developed by van Hout et al. (2012)
 <doi:10.1016/j.jval.2012.02.008>, the crosswalk value sets for Bermuda,
 Jordan and Russia and the van Hout (2021) reverse crosswalk value sets. 10
 EQ-5D-Y value sets are also included as are the NICE 'DSU' age-sex based
 EQ-5D-3L to EQ-5D-5L and EQ-5D-5L to EQ-5D-3L mappings. Methods are also
 included for the analysis of EQ-5D profiles, including those from the book
 "Methods for Analyzing and Reporting EQ-5D data" by Devlin et al. (2020)
 <doi:10.1007/978-3-030-47622-9>. Additionally a shiny web tool is included
 to enable the calculation, visualisation and automated statistical analysis
 of EQ-5D data via a web browser using EQ-5D dimension scores stored in CSV
 or Excel files.

Package: r-cran-eq5dsuite
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1559
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-moments, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-rappdirs
Filename: pool/dists/focal/main/r-cran-eq5dsuite_1.0.1-1.ca2004.1_all.deb
Size: 1368112
MD5sum: 4c9f2211befe3cedf949daecf877fc96
SHA1: 32f9402e962d398f5d606b99fbb04c2316912090
SHA256: 63bb43a036d4f3f321804736a083362874e67e9d38e2d9c6d769517e8c1e8b5b
SHA512: 20a7d15e40ff6b760b6397ce9cec40c63e61607081317424d86665dc1e31fcdf85c3a46672391ae33e9c809b6f12d620cd4094784df07b2a82c7835b6c0c0b99
Homepage: https://cran.r-project.org/package=eq5dsuite
Description: CRAN Package 'eq5dsuite' (Handling and Analysing EQ-5d Data)
 The EQ-5D is a widely-used standarized instrument for measuring Health
 Related Quality Of Life (HRQOL), developed by the EuroQol group
 <https://euroqol.org/>. It assesses five dimensions; mobility, self-care,
 usual activities, pain/discomfort, and anxiety/depression, using either a
 three-level (EQ-5D-3L) or five-level (EQ-5D-5L) scale.  Scores from these
 dimensions are commonly converted into a single utility index using
 country-specific value sets, which are critical in clinical and economic
 evaluations of healthcare and in population health surveys.  The eq5dsuite
 package enables users to calculate utility index values for the EQ-5D
 instruments, including crosswalk utilities using the original crosswalk
 developed by van Hout et al. (2012) <doi:10.1016/j.jval.2012.02.008>
 (mapping EQ-5D-5L responses to EQ-5D-3L index values), or the recently
 developed reverse crosswalk by van Hout et al. (2021)
 <doi:10.1016/j.jval.2021.03.009> (mapping EQ-5D-3L responses to EQ-5D-5L
 index values). Users are allowed to add and/or remove user-defined value
 sets.  Additionally, the package provides tools to analyze EQ-5D data
 according to the recommended guidelines outlined in "Methods for Analyzing
 and Reporting EQ-5D data" by Devlin et al. (2020)
 <doi:10.1007/978-3-030-47622-9>.

Package: r-cran-eql
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eql_1.0-1-1.ca2004.1_all.deb
Size: 109180
MD5sum: 4cb6eef6df2977fb8bd0d7ac9ca14e05
SHA1: 6404f1321467878489f17ddc65d0791e1e2c4752
SHA256: a151f616fde95305d0a3c6b248799f1ff26eb5ba65e36a4d98368b2b920c1ef9
SHA512: 587cc1fa1357bb41df246b57725bbefde5287ef925d5268b7b049a3d2880a60269402268fc6d4a250211963924ea6a19b6c8bfa81a031032af1a1adb098ee40b
Homepage: https://cran.r-project.org/package=EQL
Description: CRAN Package 'EQL' (Extended-Quasi-Likelihood-Function (EQL))
 Computation of the EQL for a given family of variance functions,
 Saddlepoint-approximations and related auxiliary functions (e.g. Hermite
 polynomials).

Package: r-cran-eqrn
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coro, r-cran-dofuture, r-cran-evd, r-cran-foreach, r-cran-future, r-cran-ismev, r-cran-magrittr, r-cran-torch
Filename: pool/dists/focal/main/r-cran-eqrn_0.1.1-1.ca2004.1_all.deb
Size: 417236
MD5sum: 34cd688370cf762d7882c49b0da81a50
SHA1: 6c9205cfca70b546b225a1cdad824cf03da85512
SHA256: 26c751a5ca3e20b170d4356fd713f83da4df7b607c4c4406bf35ad78009eb6e7
SHA512: ad42e51e5f14ddac233e9785d66e7d503488672c0e18e52d603bde1ed2faf6c3c9e2a89b0fcc761d467e262c6818739ecb5c55df2c994767ccfb36849b97da8d
Homepage: https://cran.r-project.org/package=EQRN
Description: CRAN Package 'EQRN' (Extreme Quantile Regression Neural Networks for Risk Forecasting)
 This framework enables forecasting and extrapolating measures of conditional
 risk (e.g. of extreme or unprecedented events), including quantiles and
 exceedance probabilities, using extreme value statistics and flexible neural
 network architectures.  It allows for capturing complex multivariate
 dependencies, including dependencies between observations, such as
 sequential dependence (time-series).  The methodology was introduced in
 Pasche and Engelke (2024) <doi:10.1214/24-AOAS1907> (also available in
 preprint: Pasche and Engelke (2022) <doi:10.48550/arXiv.2208.07590>).

Package: r-cran-eqs2lavaan
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-eqs2lavaan_3.0-1.ca2004.1_all.deb
Size: 48364
MD5sum: a44532b9eee160f2ca5ace471eef6caf
SHA1: a84238138952e0c9dd2e01e66298400bd4900c9d
SHA256: 42685a131a38226b391b21894bc2ed45fead88adc5e12346b2f1314f3b61cd2c
SHA512: 941a8a28d83b3e717f52fb3e9d402c6bbf5c3ad7e70b82627bbee6863a13fa919c8ac92dc73e91e7801eb366d5b9d42d8c0d8f7ec507f8e658f054f8accd28f1
Homepage: https://cran.r-project.org/package=eqs2lavaan
Description: CRAN Package 'eqs2lavaan' (EQS Output Conversion to lavaan Functions)
 Transitioning from EQS to R for structural equation modeling (SEM) is made
 easier with a set of functions to convert .out files into R code.  The EQS
 output can be converted into lavaan syntax and run in the R environment.
 Other functions parse descriptive statistics and the covariance matrix from
 an EQS .out file.  A heat map plot of a covariance matrix is also included.

Package: r-cran-eqtesting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-rdd
Filename: pool/dists/focal/main/r-cran-eqtesting_0.1.0-1.ca2004.1_all.deb
Size: 48220
MD5sum: 32b319368ee7dc24cc0a7ebe5841efed
SHA1: cb979908eab29f995fcfa8d23c94cc03d1db464f
SHA256: c2c4bb2c4c5b1a07045f49d326020bd1988009d82a6a2a5200bc0e5dfd85a125
SHA512: f5765279fb8fcb5ba825d899aadd71d02c3a80a39d0ff460a96e7cf347215b9d46e533923a6d5bcbdc12ca0f5f4862d0810a860c2d68f81d4ff533ad64906057
Homepage: https://cran.r-project.org/package=eqtesting
Description: CRAN Package 'eqtesting' (Equivalence Testing Functions)
 Contains several functions for equivalence testing and practical
 significance testing. First, the tsti() command provides an automatic
 computation of three-sided testing results for a given estimate, standard
 error, and region of practical equivalence. For details, see Goeman, Solari,
 & Stijnen (2010) <doi:10.1002/sim.4002> and Isager & Fitzgerald (2024)
 <doi:10.31234/osf.io/8y925>. Second, the lddtest() command performs
 logarithmic density discontinuity equivalence testing for regression
 discontinuity designs. For reference, see Fitzgerald (2025)
 <doi:10.31222/osf.io/2dgrp_v1>.

Package: r-cran-equalrepeat
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-ggplot2, r-cran-desctools, r-cran-zip, r-cran-cowplot, r-cran-rstatix, r-cran-irr, r-cran-forecast, r-cran-tseries, r-cran-urca, r-cran-vars, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-equalrepeat_0.4.0-1.ca2004.1_all.deb
Size: 178264
MD5sum: e8cf139b8eb0f81ef669968765889ac2
SHA1: 0d8b0a18f74a0a2c732baf1d4f277697684c50a3
SHA256: 1ae9ec05618b5f2839d92663a5c67f23dc86fe2e346c6ebb2f87d7182f5b27c5
SHA512: fd5173b62acdf1e3348ccaffa3e5c7681d5409ca3e1c3b3ce40f7a1e2eae3250bd4b830f091326127e533fc05501f1c0412290880d82c24d1f6f399b9e8aa861
Homepage: https://cran.r-project.org/package=EQUALrepeat
Description: CRAN Package 'EQUALrepeat' (Algorithm Driven Time Series Analysis for Researchers withoutCoding Skills)
 Support functions for R-based 'EQUAL-STATS' software which automatically
 classifies the data and performs appropriate statistical tests.
 'EQUAL-STATS' software is a shiny application with an user-friendly
 interface to perform complex statistical analysis. Gurusamy,K
 (2024)<doi:10.5281/zenodo.13354162>.

Package: r-cran-equalstats
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-shiny, r-cran-zip, r-cran-ggplot2, r-cran-desctools, r-cran-cowplot, r-cran-boot, r-cran-pwr, r-cran-ggcorrplot, r-cran-survival, r-cran-nnet, r-cran-mass, r-cran-lmtest, r-cran-proc, r-cran-thresholdroc, r-cran-ggsurvfit, r-cran-lme4, r-cran-mclogit, r-cran-ordinal, r-cran-coxme, r-cran-mumin
Filename: pool/dists/focal/main/r-cran-equalstats_0.5.0-1.ca2004.1_all.deb
Size: 594616
MD5sum: 3f342966651143cf6bcd9472b15ff859
SHA1: a50cf1a35e67bdd5df78c3472df4f4d0df4f3121
SHA256: 456992d1709ff74460d8170829b75f3887ba45f4610fae0b6bb63d250afa501f
SHA512: 7bd08f214168c6b5eb1f3fb054ba870f9ac0246646449dff24b6e50c9eaa2362a799402bf7d549a5eee78997bffddb5c9cedd94162e6751fb46c10733b75d3ba
Homepage: https://cran.r-project.org/package=EQUALSTATS
Description: CRAN Package 'EQUALSTATS' (Algorithm Driven Statistical Analysis for Researchers withoutCoding Skills)
 Support functions for R-based 'EQUAL-STATS' software which automatically
 classifies the data and performs appropriate statistical tests.
 'EQUAL-STATS' software is a shiny application with an user-friendly
 interface to perform complex statistical analysis. Gurusamy,K
 (2024)<doi:10.5281/zenodo.13354162>.

Package: r-cran-equaltestmi
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-semtools, r-cran-printr
Filename: pool/dists/focal/main/r-cran-equaltestmi_0.6.1-1.ca2004.1_all.deb
Size: 323272
MD5sum: 1fef3155c390e22b276771fe034e140d
SHA1: b9bbd180b2b9d095f93c10b18a0d98519f7e682d
SHA256: 10703465b990e5e53648a62ec65530d81771f06f4eb8a3b3a23aadc518df0a00
SHA512: 5143248366362c33d8614a34f359d4c0b9b69ba445abfa561e2cd4c01d82f11b948be0f2594cf21013edca6bc40247055e8778256ffb34ea13ff8cc7e8dd5db0
Homepage: https://cran.r-project.org/package=equaltestMI
Description: CRAN Package 'equaltestMI' (Examine Measurement Invariance via Equivalence Testing andProjection Method)
 Functions for examining measurement invariance via equivalence testing are
 included in this package. The traditionally used RMSEA (Root Mean Square
 Error of Approximation) cutoff values are adjusted based on simulation
 results. In addition, a projection-based method is implemented to test the
 equality of latent factor means across groups without assuming the equality
 of intercepts. For more information, see Yuan, K. H., & Chan, W. (2016)
 <doi:10.1037/met0000080>, Deng, L., & Yuan, K. H. (2016)
 <doi:10.1007/s11336-015-9491-8>, and Jiang, G., Mai, Y., & Yuan, K. H.
 (2017) <doi:10.3389/fpsyg.2017.01823>.

Package: r-cran-equatags
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-xslt, r-cran-katex
Filename: pool/dists/focal/main/r-cran-equatags_0.2.1-1.ca2004.1_all.deb
Size: 30652
MD5sum: c857cef59568a13b3d912a61a78a6fd0
SHA1: 4eebf6f441a72ef2df5511869e0e613fd56e725b
SHA256: f989f52d7ac6e7817571af0a48c641612da6f253269ff3220d6ed6c6fff23931
SHA512: 7001f4556b7548857fe32d073c19e15ec0409baa0190e986a8eef16c2a3ac4feb3bef77fc36c0045b4a058dada5ee6afa1760a7ce4f9b0d32017d44306c6ecfd
Homepage: https://cran.r-project.org/package=equatags
Description: CRAN Package 'equatags' (Equations to 'XML')
 Provides function to transform latex math expressions into format 'HTML' or
 'Office Open XML Math'. The 'XML' result can then be included in 'HTML',
 'Microsoft Word' documents or 'Microsoft PowerPoint' presentations by using
 a 'Markdown' document or the R package 'officer'.

Package: r-cran-equate
Architecture: all
Version: 2.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2768
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-equate_2.0.8-1.ca2004.1_all.deb
Size: 2092568
MD5sum: ed0262283344f7d778ba7674d6b300f9
SHA1: 041ea243c7d3303f944db6b5e4ff9943d4d99833
SHA256: c8ada22f9a10856615564ab12c693729f9bb0ca3064084e81e1e2e5e8b148726
SHA512: fe2f9eaed3918c48baff474e226553e9fc735c294deffcbd153882a4c890f4e8ed25175bc74ef180dadbacac228b411de5c4cd92d80385e10e378bd95e2b109a
Homepage: https://cran.r-project.org/package=equate
Description: CRAN Package 'equate' (Observed-Score Linking and Equating)
 Contains methods for observed-score linking and equating under the
 single-group, equivalent-groups, and nonequivalent-groups with anchor
 test(s) designs.  Equating types include identity, mean, linear, general
 linear, equipercentile, circle-arc, and composites of these. Equating
 methods include synthetic, nominal weights, Tucker, Levine observed score,
 Levine true score, Braun/Holland, frequency estimation, and chained
 equating. Plotting and summary methods, and methods for multivariate
 presmoothing and bootstrap error estimation are also provided.

Package: r-cran-equateirt
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1942
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statmod, r-cran-mirt
Suggests: r-cran-knitr, r-cran-ltm, r-cran-rmarkdown, r-cran-sna
Filename: pool/dists/focal/main/r-cran-equateirt_2.5.2-1.ca2004.1_all.deb
Size: 1099772
MD5sum: 4df3d585267b369c39e82845b5f86e41
SHA1: c70b05a5d4bf0611a6c507b4ab28c19c5f066dd9
SHA256: 8f0b636965f4a5218734c1dc8db3104efe27e265b769881d8b929c21d5b67475
SHA512: bb17b90217ff2659ecc4a533a6e3932969edb628389507159dc36438bf74f45cf3c3ea4ce0283da06d01969dae6d97b0fa12ecde5abf29890d161672858be732
Homepage: https://cran.r-project.org/package=equateIRT
Description: CRAN Package 'equateIRT' (IRT Equating Methods)
 Computation of direct, chain and average (bisector) equating coefficients
 with standard errors using Item Response Theory (IRT) methods for
 dichotomous items (Battauz (2013) <doi:10.1007/s11336-012-9316-y>, Battauz
 (2015) <doi:10.18637/jss.v068.i07>).  Test scoring can be performed by true
 score equating and observed score equating methods.  DIF detection can be
 performed using a Wald-type test (Battauz (2019)
 <doi:10.1007/s10260-018-00442-w>).  The package includes tests to assess the
 stability of the equating transformations (Battauz(2022)
 <doi:10.1111/stan.12277>).

Package: r-cran-equatiomatic
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1528
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-broom.mixed, r-cran-shiny, r-cran-knitr
Suggests: r-cran-covr, r-cran-shinywidgets, r-cran-forecast, r-cran-ggplot2, r-cran-latex2exp, r-cran-lme4, r-cran-mass, r-cran-ordinal, r-cran-rmarkdown, r-cran-testthat, r-cran-texpreview, r-cran-gtsummary, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-equatiomatic_0.3.6-1.ca2004.1_all.deb
Size: 1107652
MD5sum: 6fa6f700e5ad5dbc0168b3093d7eed8e
SHA1: 05efe07613b1187cd27ef5b1347d17ce6d34f547
SHA256: 50308018ca0adbd752a2b625274609b7f552f1860b76c1d7c136b638101126d5
SHA512: 000f9557a4ec761238678d0d391f734883d16cee6bcf964ab94c339a8c62fe11897d1b136a69afb252f45024bd49e52fa9e8c3b15fff009da620b6834deefb75
Homepage: https://cran.r-project.org/package=equatiomatic
Description: CRAN Package 'equatiomatic' (Transform Models into 'LaTeX' Equations)
 The goal of 'equatiomatic' is to reduce the pain associated with writing
 'LaTeX' formulas from fitted models. The primary function of the package,
 extract_eq(), takes a fitted model object as its input and returns the
 corresponding 'LaTeX' code for the model.

Package: r-cran-equibspd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-equibspd_0.1.0-1.ca2004.1_all.deb
Size: 21640
MD5sum: 5155f5f5c812e8805aa4436387a1fe90
SHA1: f55687472500aab5dc33a903c5847eaae4ec91c3
SHA256: 055fb536ccedf91d96439f0cd2e9fb232904394846cc8fabdbdadf69c2a924f5
SHA512: 7b806639832ece79229c72a6a157e94f0cc3a05f47480e4d016a175bf93e2b86585a6a0e4386bfa62e9d04c017fd43395b45419507b4401bd4ffbf3e6778aee1
Homepage: https://cran.r-project.org/package=equiBSPD
Description: CRAN Package 'equiBSPD' (Equivalent Estimation Balanced Split Plot Designs)
 In agricultural, post-harvest and processing, engineering and industrial
 experiments factors are often differentiated with ease with which they can
 change from experimental run to experimental run. This is due to the fact
 that one or more factors may be expensive or time consuming to change i.e.
 hard-to-change factors. These factors restrict the use of complete
 randomization as it may make the experiment expensive and time consuming.
 Split plot designs can be used for such situations. In general model
 estimation of split plot designs require the use of generalized least
 squares (GLS). However for some split-plot designs ordinary least squares
 (OLS) estimates are equivalent to generalized least squares (GLS) estimates.
 These types of designs are known in literature as equivalent-estimation
 split-plot design. For method details see, Macharia, H. and Goos, P.(2010)
 <doi:10.1080/00224065.2010.11917833>.Balanced split plot designs are designs
 which have an equal number of subplots within every whole plot. This package
 used to construct equivalent estimation balanced split plot designs for
 different experimental set ups along with different statistical criteria to
 measure the performance of these designs. It consist of the function
 equivalent_BSPD().

Package: r-cran-equil2
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-units
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-equil2_1.0.0-1.ca2004.1_all.deb
Size: 56832
MD5sum: f80cac280a2cfbcca187318c0060581d
SHA1: 6941b44daccc5b2e0f328d82574667630a33615c
SHA256: 78d8a7224a156a2319c7e82acb05b8d3bf72427223884036ce4ac510e96cf753
SHA512: a488f6a01745f0c06a61a8d948da8000c8aca52ae98c557d0022c61876d46458de6835f3199fd34569c17a4bf6e035e2528a2e29fae746d5a4bdc3ac4f839f9d
Homepage: https://cran.r-project.org/package=equil2
Description: CRAN Package 'equil2' (Calculate Urinary Saturation with the EQUIL2 Algorithm)
 Saturation of ionic substances in urine is calculated based on sodium,
 potassium, calcium, magnesium, ammonia, chloride, phosphate, sulfate,
 oxalate, citrate, ph, and urate.  This program is intended for research use,
 only.  The code within is translated from EQUIL2 Visual Basic code based on
 Werness, et al (1985) "EQUIL2: a BASIC computer program for the calculation
 of urinary saturation" <doi:10.1016/s0022-5347(17)47703-2> to R. The Visual
 Basic code was kindly provided by Dr. John Lieske of the Mayo Clinic.

Package: r-cran-equisurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-eha
Filename: pool/dists/focal/main/r-cran-equisurv_0.1.0-1.ca2004.1_all.deb
Size: 53816
MD5sum: ae77241fb39dbf1b6059a4f7260d7504
SHA1: ecd7e07776f60636b8dea7565f016e942b7cf56c
SHA256: 4f3ca6de933d6d7549055bcfb9c2c16ca6b607a91325d8a55074e64350e9b9c5
SHA512: 4757d5ed8347a6c91806f0ee2a3d8d8f8ac3c75e5acd30039b520f859c722e8d6515e7ca9853dd621460c77fe5c4d66d51b9803bf4b93c664ccc0d51b23c009e
Homepage: https://cran.r-project.org/package=EquiSurv
Description: CRAN Package 'EquiSurv' (Modeling, Confidence Intervals and Equivalence of SurvivalCurves)
 We provide a non-parametric and a parametric approach to investigate the
 equivalence (or non-inferiority) of two survival curves, obtained from two
 given datasets. The test is based on the creation of confidence intervals at
 pre-specified time points.  For the non-parametric approach, the curves are
 given by Kaplan-Meier curves and the variance for calculating the confidence
 intervals is obtained by Greenwood's formula.  The parametric approach is
 based on estimating the underlying distribution, where the user can choose
 between a Weibull, Exponential, Gaussian, Logistic, Log-normal or a
 Log-logistic distribution. Estimates for the variance for calculating the
 confidence bands are obtained by a (parametric) bootstrap approach. For this
 bootstrap censoring is assumed to be exponentially distributed and estimates
 are obtained from the datasets under consideration.  All details can be
 found in K.Moellenhoff and A.Tresch: Survival analysis under
 non-proportional hazards: investigating non-inferiority or equivalence in
 time-to-event data <arXiv:2009.06699>.

Package: r-cran-equivalencetest
Architecture: all
Version: 0.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-rootsolve, r-cran-cubature, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-equivalencetest_0.0.1.1-1.ca2004.1_all.deb
Size: 58240
MD5sum: 2de6ae1a0c1ad7c1f56415afde65f3ac
SHA1: d1a327382e473e176d07c0b1fd7afbefcd268e27
SHA256: 979a8242bfaf35e304222268855fb53ed43bb84bbc3d9c6bcb4c1a70cde172f0
SHA512: 25ddab3e76f39b182abc34fc21c9db65b51ccc529030422e3953c625cb13e7d82c9163ee3080ae4a4cffcfdf2114254fc7acb470f875ce1331b5d651435efcbe
Homepage: https://cran.r-project.org/package=equivalenceTest
Description: CRAN Package 'equivalenceTest' (Equivalence Test for the Means of Two Normal Distributions)
 Two methods for performing equivalence test for the means of two (test and
 reference) normal distributions are implemented. The null hypothesis of the
 equivalence test is that the absolute difference between the two means are
 greater than or equal to the equivalence margin and the alternative is that
 the absolute difference is less than the margin. Given that the margin is
 often difficult to obtain a priori, it is assumed to be a constant multiple
 of the standard deviation of the reference distribution. The first method
 assumes a fixed margin which is a constant multiple of the estimated
 standard deviation of the reference data and whose variability is ignored.
 The second method takes into account the margin variability. In addition,
 some tools to summarize and illustrate the data and test results are
 included to facilitate the evaluation of the data and interpretation of the
 results.

Package: r-cran-equivnoninf
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn
Filename: pool/dists/focal/main/r-cran-equivnoninf_1.0.2-1.ca2004.1_all.deb
Size: 397032
MD5sum: 4e97d7f183299413af5cc095b942d25e
SHA1: 1ceec798cf277068f1142162fdc9cebd131a1968
SHA256: 26307c2e11f154a310356d684a6e1b2e8356d1e214bb329e7af6ed06c7808a87
SHA512: c154e7a4bc892c1655593dac334dcb1f2a33936d629f828d42e6176d2cdce25078475575b4c2fd44381eea8818f388aae5d5a092ec0ebb65cc93af66e52da8f2
Homepage: https://cran.r-project.org/package=EQUIVNONINF
Description: CRAN Package 'EQUIVNONINF' (Testing for Equivalence and Noninferiority)
 Making available in R the complete set of programs accompanying S. Wellek's
 (2010) monograph ''Testing Statistical Hypotheses of Equivalence and
 Noninferiority. Second Edition'' (Chapman&Hall/CRC).

Package: r-cran-equivump
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-equivump_0.1.1-1.ca2004.1_all.deb
Size: 23012
MD5sum: 6cb692b7a241c402b1580a1806915bbc
SHA1: ce85a5157e80413588b4faaf17fe700c6c16f182
SHA256: 5467ff78375b820818eb9b9ebea59641ba1363b673ebecb56741c7c0f26b5983
SHA512: 6a7e81ba30c79ca1c81e8b054921ca21cbf43ab9b0cad0859ff8d16c9434f8787cd24833cb22e254f6a946db306f3d0d4f0f1cf4c6a99e66b5c8d68e92e741e5
Homepage: https://cran.r-project.org/package=equivUMP
Description: CRAN Package 'equivUMP' (Uniformly Most Powerful Invariant Tests of Equivalence)
 Implementation of uniformly most powerful invariant equivalence tests for
 one- and two-sample problems (paired and unpaired) as described in Wellek
 (2010, ISBN:978-1-4398-0818-4). Also one-sided alternatives (non-inferiority
 and non-superiority tests) are supported. Basically a variant of a t-test
 with (relaxed) null and alternative hypotheses exchanged.

Package: r-cran-er
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Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3134
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-gridextra, r-cran-glmnet, r-cran-pls, r-cran-plsvarsel
Filename: pool/dists/focal/main/r-cran-er_1.1.1-1.ca2004.1_all.deb
Size: 3152772
MD5sum: c55f0f3cb9a8e8315a84616999b0bcb4
SHA1: c3f028141d633ce418a45e887fc9a03f2a4a6130
SHA256: 5f3b264eec2acb4d0666c7354cca933a91e3821231b429c304d9f12e19ccca7e
SHA512: 334d3c9dd8e057a24d8c399da5901b9255cfd93617b92c708f88ccd113c4431bdbb9fa8f1e23608328fe5d8f772e94c19eefd2567e9163e2729b4955b6ac048e
Homepage: https://cran.r-project.org/package=ER
Description: CRAN Package 'ER' (Effect + Residual Modelling)
 Multivariate modeling of data after deflation of interfering effects. EF
 Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al.
 (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

Package: r-cran-era
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vctrs, r-cran-rlang, r-cran-pillar
Suggests: r-cran-tibble, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-spelling, r-cran-purrr, r-cran-tidyr, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-era_0.5.0-1.ca2004.1_all.deb
Size: 110312
MD5sum: f6267acf78990a4d8f4cdcc734ca65c9
SHA1: bc1f5a4af0b86d57d57170ce3196af228d9d733c
SHA256: 6c1e2fb94d23449f9eba6ad4637b98e64c4c2164e8b97d04a64307bcb0af67f0
SHA512: b497b1da6178c68cbc7c1de1e6278aed9ea9fc34b21a769296bc28001d0ff12806d1294b99a41228e62297231fbc4d44cbf173fd072a39e88a98ebca8897e25f
Homepage: https://cran.r-project.org/package=era
Description: CRAN Package 'era' (Year-Based Time Scales)
 Provides a consistent representation of year-based time scales as a numeric
 vector with an associated 'era'. There are built-in era definitions for many
 year numbering systems used in contemporary and historic calendars (e.g.
 Common Era, Islamic 'Hijri' years); year-based time scales used in
 archaeology, astronomy, geology, and other palaeosciences (e.g.  Before
 Present, SI-prefixed 'annus'); and support for arbitrary user-defined eras.
 Years can converted from any one era to another using a generalised
 transformation function. Methods are also provided for robust casting and
 coercion between years and other numeric types, type-stable arithmetic with
 years, and pretty-printing in tables.

Package: r-cran-ercv
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-powerlaw, r-cran-evir
Filename: pool/dists/focal/main/r-cran-ercv_1.0.1-1.ca2004.1_all.deb
Size: 141996
MD5sum: 6aede3c7c34a854dd1eb5a5f6f536928
SHA1: 1c0d5dd8647df791e5a005fe5be01c6c0dc4cf38
SHA256: 732b3e0a648ae1b5cdb233c8cf526bdf3811f3b1753b29d2cde0eeda0c3c36e0
SHA512: f406ebffa78dfc5f01e21f7181c3aaacfeb5db0d4588a6d03eebd8ba0cdd7d36a7e79d696f7e22337a4d404c03703631d7a03090631346daec757a4ca83cdf4b
Homepage: https://cran.r-project.org/package=ercv
Description: CRAN Package 'ercv' (Fitting Tails by the Empirical Residual Coefficient of Variation)
 Provides a methodology simple and trustworthy for the analysis of extreme
 values and multiple threshold tests for a generalized Pareto distribution,
 together with an automatic threshold selection algorithm. See del Castillo,
 J, Daoudi, J and Lockhart, R (2014) <doi:10.1111/sjos.12037>.

Package: r-cran-erdbuilder
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2721
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-diagrammer, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gt, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-erdbuilder_1.0.0-1.ca2004.1_all.deb
Size: 773244
MD5sum: c4a85e0edfdd3d32ad89e7d95c79e6dc
SHA1: 86e3ccef9bae9e4d77bb6e5c9ad655b9a6973ede
SHA256: 0b3cd9d36095a144bf813c79dcaa8eba43b084ca55c18801f67fd54299ba31d9
SHA512: 21411fe36d85a590f0f74b3e3cfa96be867dd2de5d086c9ea535f3274c3f6f7990b69a451a9a0aa6147f089c163875a61280f6b1ff98a87dea0f8b5e06639e74
Homepage: https://cran.r-project.org/package=ERDbuilder
Description: CRAN Package 'ERDbuilder' (Entity Relationship Diagrams Builder)
 Build entity relationship diagrams (ERD) to specify the nature of the
 relationship between tables in a database.

Package: r-cran-erer
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lmtest, r-cran-systemfit, r-cran-tseries, r-cran-urca
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-erer_4.0-1.ca2004.1_all.deb
Size: 511508
MD5sum: 72a0c9eef2e679f0340b5ff1eda41f55
SHA1: 582e3e7f0f4fe48206990c8d4177607563377ee4
SHA256: f926fa77ae19c8c5b092d0943ab723c909648cfac8fde132dc94d6ce96ad0a0e
SHA512: 7b95a5926881673fda56a35990b2e37b98b144b21dc988b575c3f7a9f712f858e9eaa046f644fece1fa82f2533123b13571d4378fa171a297f7de460989001b9
Homepage: https://cran.r-project.org/package=erer
Description: CRAN Package 'erer' (Empirical Research in Economics with R)
 Several functions, datasets, and sample codes related to empirical research
 in economics are included. They cover the marginal effects for binary or
 ordered choice models, static and dynamic Almost Ideal Demand System (AIDS)
 models, and a typical event analysis in finance.

Package: r-cran-erfe
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-mvtnorm
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-erfe_0.0.1-1.ca2004.1_all.deb
Size: 34092
MD5sum: 7109d99edfeeee137c5bdf9c36f7c622
SHA1: 17e35d494bdb84ed9c6ef5cec43415e31010e7e5
SHA256: 08cbf5db23f7eb9c3aca59c572decea6c5209d55fe64e3158b880385e07f7248
SHA512: eeb60b49c37b42002a490aa1bd8e46e27bf82950428a947cd2a031446a989815ba810902fc68a659aaf52fd6cfe862bb56131a08e1bbbe3faaa0a052377e5017
Homepage: https://cran.r-project.org/package=erfe
Description: CRAN Package 'erfe' (Fits Expectile Regression for Panel Fixed Effect Model)
 Fits the Expectile Regression for Fixed Effect (ERFE) estimator. The ERFE
 model extends the within-transformation strategy to solve the incidental
 parameter problem within the expectile regression framework. The ERFE model
 estimates the regressor effects on the expectiles of the response
 distribution.  The ERFE estimate corresponds to the classical fixed-effect
 within-estimator when the asymmetric point is 0.5. The paper by Barry,
 Oualkacha, and Charpentier (2021, <arXiv:2108.04737>) gives more details
 about the ERFE model.

Package: r-cran-ergmargins
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-numderiv, r-cran-ergm, r-cran-matrix, r-cran-btergm, r-cran-dplyr, r-cran-sna, r-cran-network, r-cran-sampling
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-statnet.common, r-cran-rcpp, r-cran-ergm.count
Filename: pool/dists/focal/main/r-cran-ergmargins_1.6-1.ca2004.1_all.deb
Size: 279268
MD5sum: 2fc08ca4ab4ded3d22c5e169b713f2f0
SHA1: a5d52ca702d43e694a99cf50c0875812606acf31
SHA256: 22d3404aec1135afebc73a247fc45b3dd39ed659aa63ab242625928e64243a3e
SHA512: 260b31f4a3dc8dcf13c89c49814b2fcd5cffc0cbc67ae633e39dea94a0a28db0dd215f5383b530593b8bda26f8dc2c41e9beedf64284113b5a8a6c8ee2a38f12
Homepage: https://cran.r-project.org/package=ergMargins
Description: CRAN Package 'ergMargins' (Process Analysis for Exponential Random Graph Models)
 Calculates marginal effects and conducts process analysis in exponential
 family random graph models (ERGM).  Includes functions to conduct mediation
 and moderation analyses and to diagnose multicollinearity.  URL:
 <https://github.com/sduxbury/ergMargins>.  BugReports:
 <https://github.com/sduxbury/ergMargins/issues>.  Duxbury, Scott W (2021)
 <doi:10.1177/0049124120986178>.  Long, J. Scott, and Sarah Mustillo (2018)
 <doi:10.1177/0049124118799374>.  Mize, Trenton D. (2019)
 <doi:10.15195/v6.a4>.  Karlson, Kristian Bernt, Anders Holm, and Richard
 Breen (2012) <doi:10.1177/0081175012444861>.  Duxbury, Scott W (2018)
 <doi:10.1177/0049124118782543>.  Duxbury, Scott W, Jenna Wertsching (2023)
 <doi:10.1016/j.socnet.2023.02.003>.  Huang, Peng, Carter Butts (2023)
 <doi:10.1016/j.socnet.2023.07.001>.

Package: r-cran-ergmharris
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ergmharris_1.0-1.ca2004.1_all.deb
Size: 56388
MD5sum: 0877cc7e76c5efaf5137c13604b0174a
SHA1: df9c81d90b219f002dec88f66fe656f48cccd307
SHA256: a5f95cf266d09f0b3a3440e00f4ed29765b1107cbae29d7db78818bd1bd114d2
SHA512: 0fef05ab9f1265a50cae247435f9bef4945fa1f8b532d7e9c0c8aadf8e3cf318a72be8048e287454a9c6457efcd8ad9eb995d97c4f893c6f4d577b834348f431
Homepage: https://cran.r-project.org/package=ergmharris
Description: CRAN Package 'ergmharris' (Local Health Department network data set)
 Data for use with the Sage Introduction to Exponential Random Graph Modeling
 text by Jenine K. Harris.  Network data set consists of 1283 local health
 departments and the communication links among them along with several
 attributes.

Package: r-cran-erify
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-erify_0.6.0-1.ca2004.1_all.deb
Size: 140316
MD5sum: 805546d9871e673c1b96213b08c8aba3
SHA1: 48cc2fa830f57433e0d2bdf74c4732fdbd4b7ce9
SHA256: 0ce89f96844848382047ebb21560103cbaeddacddaf68c88efc8c808e25280da
SHA512: 12742af2c0856304a6d2c6aac62eca06ae418bce189b84c530fad15df52be6f37c6e4b786b70a6587f6b7571349e23730c422204598a128f42018949d77a980f
Homepage: https://cran.r-project.org/package=erify
Description: CRAN Package 'erify' (Check Arguments and Generate Readable Error Messages)
 Provides several validator functions for checking if arguments passed by
 users have valid types, lengths, etc. and for generating informative and
 well-formatted error messages in a consistent style. Also provides tools for
 users to create their own validator functions. The error message style used
 is adopted from <https://style.tidyverse.org/error-messages.html>.

Package: r-cran-erlangc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bsicons, r-cran-bslib, r-cran-dt, r-cran-gmp, r-cran-lubridate, r-cran-shiny, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-erlangc_0.1.0-1.ca2004.1_all.deb
Size: 174616
MD5sum: 628d63f9105f8b684c6a47c05ccd3ba5
SHA1: b0cfcb992f4326a207460142f9569f3cc1e706f9
SHA256: b4fd8b8d3f8a1bef3d6aef5723e2799b37ac29b1b9e89497bdfe34c8466d37ef
SHA512: cc5b17b453ec80213e8d60d7f6d22e8088fe5751454a1fd1e603016fafba8506c38a31a313933968e9070727ceb40fc15741413addab5c5de07c72826830790a
Homepage: https://cran.r-project.org/package=ErlangC
Description: CRAN Package 'ErlangC' (Solve Erlang-C Model)
 Provides a set of functions to solve Erlang-C model. The Erlang C formula
 was invented by the Danish Mathematician A.K. Erlang and is used to
 calculate the number of advisors and the service level.

Package: r-cran-ern
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-coda, r-cran-dplyr, r-cran-epiestim, r-cran-ggplot2, r-cran-lubridate, r-cran-patchwork, r-cran-rjags, r-cran-runjags, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ern_2.1.2-1.ca2004.1_all.deb
Size: 247204
MD5sum: 4844fb6be567117194f5cee7d8459b0c
SHA1: 1be3c9d83154288788788cf0b2f9e3f3e63c3bc8
SHA256: 0f2ea0d68c77caa4534bcb2f456bd3f48e456a90ba894a4580649383a029bf3c
SHA512: 3679db9aa5ca567cf3fb4e5b625dbf017b5eb239346a89da99d8bc608d8df414bad460881c5ff6d1672083f4e5b6d23d606ef0653850d45819673545587f29f9
Homepage: https://cran.r-project.org/package=ern
Description: CRAN Package 'ern' (Effective Reproduction Number Estimation)
 Estimate the effective reproduction number from wastewater and clinical data
 sources.

Package: r-cran-erp.easy
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-signal, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-erp.easy_1.1.0-1.ca2004.1_all.deb
Size: 2176296
MD5sum: 91979acd24ba8552b1ec0afbbc438d62
SHA1: ce7141d88c9044d51f0a606e1609848be688e9f4
SHA256: 374557bad28f81749f5ad9dfb0fa4c8331bede7129c934f678d7d09f758ae769
SHA512: c05593694eb06aa55ee423a664687051108d71e4207bd64d584e11d8963d9eec9c3d6d025fcfe05854dbe52c1cd7f29dc4672cabca553f0fb767eb85bb46221e
Homepage: https://cran.r-project.org/package=erp.easy
Description: CRAN Package 'erp.easy' (Event-Related Potential (ERP) Data Exploration Made Easy)
 A set of user-friendly functions to aid in organizing, plotting and
 analyzing event-related potential (ERP) data.  Provides an easy-to-learn
 method to explore ERP data. Should be useful to those without a background
 in computer programming, and to those who are new to ERPs (or new to the
 more advanced ERP software available). Emphasis has been placed on highly
 automated processes using functions with as few arguments as possible.
 Expects processed (cleaned) data.

Package: r-cran-erp
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 942
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-irlba, r-cran-fdrtool, r-cran-mnormt, r-cran-pacman
Suggests: r-cran-prettydoc, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-erp_2.2-1.ca2004.1_all.deb
Size: 720472
MD5sum: 7b7ef56989c0f6eaaf3b0073e6c6df1d
SHA1: 2b95d78ec22eea9022216f06f0f68658f8fa3ca3
SHA256: f5422f727f459a1546e759212d67948dc44c361e77340639f39b35ada5584fc5
SHA512: 64e5933063ddb0969c22d2d8606e1520aa641aaeb380279da0c4ba57d37f7bddc5cd83c3cfb6b19a758f461343612436746a0becd27ffa3754bb4a5b164d84d9
Homepage: https://cran.r-project.org/package=ERP
Description: CRAN Package 'ERP' (Significance Analysis of Event-Related Potentials Data)
 Functions for signal detection and identification designed for Event-Related
 Potentials (ERP) data in a linear model framework. The functional F-test
 proposed in Causeur, Sheu, Perthame, Rufini (2018, submitted) for analysis
 of variance issues in ERP designs is implemented for signal detection (tests
 for mean difference among groups of curves in One-way ANOVA designs for
 example). Once an experimental effect is declared significant,
 identification of significant intervals is achieved by the multiple testing
 procedures reviewed and compared in Sheu, Perthame, Lee and Causeur (2016,
 <DOI:10.1214/15-AOAS888>). Some of the methods gathered in the package are
 the classical FDR- and FWER-controlling procedures, also available using
 function p.adjust. The package also implements the Guthrie-Buchwald
 procedure (Guthrie and Buchwald, 1991
 <DOI:10.1111/j.1469-8986.1991.tb00417.x>), which accounts for the
 auto-correlation among t-tests to control erroneous detection of short
 intervals. The Adaptive Factor-Adjustment method is an extension of the
 method described in Causeur, Chu, Hsieh and Sheu (2012,
 <DOI:10.3758/s13428-012-0230-0>). It assumes a factor model for the
 correlation among tests and combines adaptively the estimation of the signal
 and the updating of the dependence modelling (see Sheu et al., 2016,
 <DOI:10.1214/15-AOAS888> for further details).

Package: r-cran-erpeq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vgam, r-cran-invgamma, r-cran-pracma, r-cran-rmutil
Filename: pool/dists/focal/main/r-cran-erpeq_0.1.0-1.ca2004.1_all.deb
Size: 157844
MD5sum: 581162fa5c84eb2a68b93dd201077a6c
SHA1: 45b556d99f842ee6cbcfcebe59b400dfa395e82a
SHA256: b18e4ab687cc2c278b0f9260c620865154e94dadb846dd5611207072a49ee0f0
SHA512: e53835adf320ff4ef774a4aceb89d6d15ee292d76dcdc429cb238a6f55d8ae5111276256070f51c2a3cd54e0e71d706158d855d827bc75178321cc59a2c45ec3
Homepage: https://cran.r-project.org/package=ERPeq
Description: CRAN Package 'ERPeq' (Probabilistic Hazard Assessment)
 Computes the probability density and cumulative distribution functions of
 fourteen distributions used for the probabilistic hazard assessment.
 Estimates the model parameters of the distributions using the maximum
 likelihood and reports the goodness-of-fit statistics. The recurrence
 interval estimations of earthquakes are computed for each distribution.

Package: r-cran-erpm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numbers, r-cran-igraph, r-cran-rcolorbrewer, r-cran-snowfall
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-erpm_0.2.0-1.ca2004.1_all.deb
Size: 321728
MD5sum: e1344293326edb8057bf28155bb793d8
SHA1: 54df9f0953988408ac9df2eeceedb787427b28f4
SHA256: a75e439c960a64cdb65ced3b9cdaec460db6409e71904d3aa14b5442678df2ae
SHA512: 5e4593cbb8ab847591c60b79daa4d4193183055de6626a276c18b13f673c5c6c894f592d41361a0dbf1e8d68fdc59fa86afd933724a468480dd4ff056f78c422
Homepage: https://cran.r-project.org/package=ERPM
Description: CRAN Package 'ERPM' (Exponential Random Partition Models)
 Simulates and estimates the Exponential Random Partition Model presented in
 the paper Hoffman, Block, and Snijders (2023)
 <doi:10.1177/00811750221145166>.  It can also be used to estimate
 longitudinal partitions, following the model proposed in Hoffman and Chabot
 (2023) <doi:10.1016/j.socnet.2023.04.002>.  The model is an exponential
 family distribution on the space of partitions (sets of non-overlapping
 groups) and is called in reference to the Exponential Random Graph Models
 (ERGM) for networks.

Package: r-cran-erpr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2864
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpanel
Suggests: r-cran-akima
Filename: pool/dists/focal/main/r-cran-erpr_0.2.0-1.ca2004.1_all.deb
Size: 2894504
MD5sum: f54ac1e5c77f71d04552c163fb12e3d2
SHA1: df815d9ef3791d0dba4c197f02dae39783108a96
SHA256: 929fc87d2f63c4341cff0ae24160a2f7cda833642563959904da37a4cb2badeb
SHA512: 66184186c69545bbfb5c98c64853e3d478f0262dbf02b28f92d541964b1bc422b9348f10e3dc49836ffc6e24c7ca3deb9f804693777b5101c6a5ff490595f45a
Homepage: https://cran.r-project.org/package=erpR
Description: CRAN Package 'erpR' (Event-related potentials (ERP) analysis, graphics and utilityfunctions)
 This package is dedicated to the analysis of event-related potentials
 (ERPs). Event-related potentials are the measured brain responses associated
 with a specific sensory, cognitive, or motor event and are obtained from
 electroencephalographic (EEG) signal. The erpR package contains a series of
 functions for importing ERP data, computing traditional ERP measures,
 exploratory ERP analyses and plotting.

Package: r-cran-err
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-err_0.2.0-1.ca2004.1_all.deb
Size: 40888
MD5sum: 73104685acf2792bc81fc2f02ef09769
SHA1: 1a5e70fa897cb02b80ced143fad5ec59a35eb07f
SHA256: ecace0cd2b9d3024597b8addf5eff3f2ced6e9fafbfe39250ac0e1bc040f143a
SHA512: 8c14e0391eaef3f961d2f4683f8c1f2bb758710d922c3d5da3e1cf2a6a7e8a402189d2762c83ce9553cda47cc118e1631fae90458f9477f1297703599842e572
Homepage: https://cran.r-project.org/package=err
Description: CRAN Package 'err' (Customizable Object Sensitive Messages)
 Messages should provide users with readable information about R objects
 without flooding their console.  'cc()' concatenates vector and data frame
 values into a grammatically correct string using commas, an ellipsis and
 conjunction.  'cn()' allows the user to define a string which varies based
 on a count.  'co()' combines the two to produce a customizable object aware
 string.  The package further facilitates this process by providing five
 'sprintf'-like types such as '%n' for the length of an object and '%o' for
 its name as well as wrappers for pasting objects and issuing errors,
 warnings and messages.

Package: r-cran-erratum
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-erratum_2.2.0-1.ca2004.1_all.deb
Size: 142164
MD5sum: 653e6a637287e28e6ead1a1ed3f6063e
SHA1: 0948d912344d17ea909d540577b1d906bb6790b2
SHA256: ea59db99763db8248f2abf04f5eb8a95e6717423d1a395bd83048b206a5d14cc
SHA512: 32409ec2342c7f84e00130e1dd69c03b1f141b2cd3ecdb22b76eeb47e9946837f173001ebaeb55d1f501a2f4a882032c8c6c4e46ef17d1483f538a095afca070
Homepage: https://cran.r-project.org/package=erratum
Description: CRAN Package 'erratum' (Handle Error and Warning Messages)
 Elegantly handle error and warning messages.

Package: r-cran-errint
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-errint_1.0-1.ca2004.1_all.deb
Size: 94152
MD5sum: 592d6ffcfed5ba8243a23d8c29ef1491
SHA1: 16dd89dbd08db9ff1e4d447729c4cc5f2abcdd3c
SHA256: ab967a9509a0faa654ec5b801c489d439e0aaf72231e64a130f15282391b9a5c
SHA512: 409d29828d03aec3dff061869c7474984262eeff10938fcc65ed2ae32e32c1f646a0f0a4ad3b694e5942fece5176a485171ac3743bdd46ace3cc604f81780442
Homepage: https://cran.r-project.org/package=errint
Description: CRAN Package 'errint' (Builds Error Intervals)
 Builds and analyzes error intervals for a particular model predictions
 assuming different distributions for noise in the data.

Package: r-cran-errorist
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-searcher
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-errorist_0.1.2-1.ca2004.1_all.deb
Size: 28516
MD5sum: c8ff9dbca989c00d7679bf5b1d3dc9d4
SHA1: f6546050e7702b4489afacb6d2e98dd24f0b154b
SHA256: e9d2566f0233267e350188b88abc0057d616bac3f05b3e649c59f22d02fceb1d
SHA512: 429de0f561b21454a667fbb99df556d797cb0e1d6326228d5a932f5d0168ffbbe54b38cf7d2f615e81a1bfa10071f58a56fb2d032520ed2e023e31b23e956b4b
Homepage: https://cran.r-project.org/package=errorist
Description: CRAN Package 'errorist' (Automatically Search Errors or Warnings)
 Provides environment hooks that obtain errors and warnings which occur
 during the execution of code to automatically search for solutions.

Package: r-cran-errorizer
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-errorizer_0.2.1-1.ca2004.1_all.deb
Size: 18260
MD5sum: df20f4fc8f9f4ef7e56a1b30460a520b
SHA1: 3477841ef40dfc8a683f5d48a8522543106d7f82
SHA256: 23bb862a0f595ffd2f9635fd5cd5cb060eb738674d7533cda11bc4561af6ff55
SHA512: 25c9783507c926165c442da65e896ee559fb23d2190896a06b550311f4d19eb02f115cf2a48abe3615a92941cac017f04c9613de1439503e0e63fc91021cd041
Homepage: https://cran.r-project.org/package=errorizer
Description: CRAN Package 'errorizer' (Function Errorizer)
 Provides a function to convert existing R functions into "errorized"
 versions with added logging and handling functionality when encountering
 errors or warnings.  The errorize function accepts an existing R function as
 its first argument and returns a R function with the exact same arguments
 and functionality. However, if an error or warning occurs when running that
 "errorized" R function, it will save a .Rds file to the current working
 directory with the relevant objects and information required to immediately
 recreate the error.

Package: r-cran-errorlocate
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 542
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-validate, r-cran-lpsolveapi
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-errorlocate_1.1.1-1.ca2004.1_all.deb
Size: 395468
MD5sum: 4d7655a6137bf12ee072cff2f89a19d9
SHA1: 10d0c9977d82fad4a0734b8b4d0c9cb852f8aadf
SHA256: 323f877d5b5f0bff3ca42d42590b5a607af5f5c47926beda8a1252e5ead504fc
SHA512: e30a47bebd553768e2749a04602c5230b389303f408101e977ba816d07d704e5df9a01c99ea6362b0bca760b350f4a56f630181e2ec61608f7c6667e174d0484
Homepage: https://cran.r-project.org/package=errorlocate
Description: CRAN Package 'errorlocate' (Locate Errors with Validation Rules)
 Errors in data can be located and removed using validation rules from
 package 'validate'. See also Van der Loo and De Jonge (2018)
 <doi:10.1002/9781118897126>, chapter 7.

Package: r-cran-errors
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-vctrs, r-cran-pillar, r-cran-ggplot2, r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-errors_0.4.4-1.ca2004.1_all.deb
Size: 292416
MD5sum: 2e0061c16340b5968c61cca678b0218e
SHA1: e6df00471a5e852681e4e321dd1172149c260a7c
SHA256: 9a14ad7dadf2bab8e289b991f2c0abf309f593ef483bada0d540c186376e6730
SHA512: 445a5c518307b0216c0bc9559cf4eb44b1d1afa85b71d996182f28d944d198e6e1dc7d426db1ddcb9c4ff2e4fa0d4db5303a5a808ca61a1a5933b77bf786badb
Homepage: https://cran.r-project.org/package=errors
Description: CRAN Package 'errors' (Uncertainty Propagation for R Vectors)
 Support for measurement errors in R vectors, matrices and arrays: automatic
 uncertainty propagation and reporting.  Documentation about 'errors' is
 provided in the paper by Ucar, Pebesma & Azcorra (2018,
 <doi:10.32614/RJ-2018-075>), included in this package as a vignette; see
 'citation("errors")' for details.

Package: r-cran-ersa
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1127
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-car, r-cran-leaps, r-cran-broom, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-combinat, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ersa_0.1.4-1.ca2004.1_all.deb
Size: 828056
MD5sum: 9709d7ea9bca933eacde886bc371582b
SHA1: 1f69b50bc9252476cc5c8e7127e475ee8de83ed1
SHA256: 79b84dc9c72397513b8f61f8ad826adac414cf0a68ef0dc0e45775e4af1e8aa8
SHA512: bb9b385e251cfa655bc50da9c78fbf5ea3613bf2ba2db6cc96243460e2f0a6531e8a581ad9a6d069515204c8904b8a4e9e3007c196d109008376fa57338d4979
Homepage: https://cran.r-project.org/package=ERSA
Description: CRAN Package 'ERSA' (Exploratory Regression 'Shiny' App)
 Constructs a 'shiny' app function with interactive displays for summary and
 analysis of variance regression tables, and parallel coordinate plots of
 data and residuals.

Package: r-cran-ertg3d
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circstats, r-cran-ggplot2, r-cran-pbapply, r-cran-plotly, r-cran-raster, r-cran-rastervis
Suggests: r-cran-knitr, r-cran-pander, r-cran-gridextra, r-cran-rmarkdown, r-cran-sf, r-cran-sp, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ertg3d_0.7.0-1.ca2004.1_all.deb
Size: 1129568
MD5sum: 8c378989fb913c164913a092c68df11d
SHA1: ebf2a296aeedfd4cea1bc7b439f11893eeda1fb2
SHA256: 14423f5f49102b3202161e7db86a37fdf4572c099220da3dfe1e6b316d7b258f
SHA512: f64e590866285108d4507f521d6f3e6a70666f6a4bcffdb7096888717a569e0c27384db60f3fd49f1f05aee69b7e5d4e93bc0b9d95cbd8242083faa6fd6978a9
Homepage: https://cran.r-project.org/package=eRTG3D
Description: CRAN Package 'eRTG3D' (Empirically Informed Random Trajectory Generation in 3-D)
 Creates realistic random trajectories in a 3-D space between two given fix
 points, so-called conditional empirical random walks (CERWs). The trajectory
 generation is based on empirical distribution functions extracted from
 observed trajectories (training data) and thus reflects the geometrical
 movement characteristics of the mover. A digital elevation model (DEM),
 representing the Earth's surface, and a background layer of probabilities
 (e.g. food sources, uplift potential, waterbodies, etc.) can be used to
 influence the trajectories.  Unterfinger M (2018). "3-D Trajectory
 Simulation in Movement Ecology: Conditional Empirical Random Walk". Master's
 thesis, University of Zurich.
 <https://www.geo.uzh.ch/dam/jcr:6194e41e-055c-4635-9807-53c5a54a3be7/MasterThesis_Unterfinger_2018.pdf>.
 Technitis G, Weibel R, Kranstauber B, Safi K (2016). "An algorithm for
 empirically informed random trajectory generation between two endpoints".
 GIScience 2016: Ninth International Conference on Geographic Information
 Science, 9, online. <doi:10.5167/uzh-130652>.

Package: r-cran-es.dif
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-es.dif_1.0.2-1.ca2004.1_all.deb
Size: 37384
MD5sum: eeb64150f9d89c9df87aff1c628907e5
SHA1: b0d48905ca6c64f637864464d0bb20799a331795
SHA256: ec4dd6a396e18c64f4f72bfd3c34571c287590636c99e000dd616cd0419b495e
SHA512: b7f14e1440657d3e41a88469946945f6c96c2cdc6e5227a120122cf8be938ecab210a2ea3688d5727d14ab8f31615312036e447b21498f0b6d6f1d678387189a
Homepage: https://cran.r-project.org/package=es.dif
Description: CRAN Package 'es.dif' (Compute Effect Sizes of the Difference)
 Computes various effect sizes of the difference, their variance, and
 confidence interval. This package treats Cohen's d, Hedges' d,
 biased/unbiased c (an effect size between a mean and a constant) and e (an
 effect size between means without assuming the variance equality).

Package: r-cran-es
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-es_1.0-1.ca2004.1_all.deb
Size: 39508
MD5sum: ce1455cdb57823de75156564ab4a4b03
SHA1: 61202863e519f884a88c50c831c7a0a6f921ac3d
SHA256: 3cd6a9824aaac35b25f6ddd1a42cfa96922380eb628b9823ce0372f9bcc22bbe
SHA512: cb014cc9efcf5e042f195e43943f02bd96121b99a600a762d21665af537e72589d28a32ad2048fd5cda8f60a5441df8341d4839ad89255c9076b4b1989de1302
Homepage: https://cran.r-project.org/package=ES
Description: CRAN Package 'ES' (Edge Selection)
 Implementation of the Edge Selection Algorithm

Package: r-cran-esabcv
Architecture: all
Version: 1.2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1670
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-corpcor, r-cran-svd
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-esabcv_1.2.1.1-1.ca2004.1_all.deb
Size: 1674568
MD5sum: 37bda3ffb2608f9f59901d992dac3284
SHA1: c7e535b238f9f12afc50b2c4a6604fa18e6d11f4
SHA256: 0fcff7f5d17934d99e7342274f549d78a295a28bf78bedce04af57a6de04bfb0
SHA512: 7bdb8bbb9df334f45e910b7678918d3e0bcbf0fc09dbb837734a0e1d04875bdcf73336b9a2522c664842c4337b6bf5030d990c70178aac7bf7a50626573bbc72
Homepage: https://cran.r-project.org/package=esaBcv
Description: CRAN Package 'esaBcv' (Estimate Number of Latent Factors and Factor Matrix for FactorAnalysis)
 These functions estimate the latent factors of a given matrix, no matter it
 is high-dimensional or not. It tries to first estimate the number of factors
 using bi-cross-validation and then estimate the latent factor matrix and the
 noise variances. For more information about the method, see Art B. Owen and
 Jingshu Wang 2015 archived article on factor model (<arXiv:1503.03515>).

Package: r-cran-esaps
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-plyr, r-cran-readods, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-esaps_0.2.2-1.ca2004.1_all.deb
Size: 254544
MD5sum: 3b560f005332dc5c66d9e862bf30d089
SHA1: d4202e07892d27dda93c7a71f9dda0f69e67dfeb
SHA256: 39ca306bdf076fa3262c2cf9fa45c28a3447c948d890d0ed221bb423f3f09f37
SHA512: 164b5f53e086593d0eb9f4c553bfff456bc300a05ec098a80492b5f33d5d9fd14909f5020d84af2d3c60c8fbfafa6d9d7838129b37ddf39f9b2d8f69b55c925b
Homepage: https://cran.r-project.org/package=esaps
Description: CRAN Package 'esaps' (Indicators of Electoral Systems and Party Systems)
 It allows structuring electoral data of different size and structure to
 calculate various indicators frequently used in the studies of electoral
 systems and party systems.  Indicators of electoral volatility, electoral
 disproportionality, party nationalization and the effective number of
 parties are included.

Package: r-cran-esback
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-esreg
Filename: pool/dists/focal/main/r-cran-esback_0.3.1-1.ca2004.1_all.deb
Size: 108188
MD5sum: 2751cc586f601fab7b759ea1896505d8
SHA1: d37ac4f55bb98f93c6223839ee9c3048d9c2848e
SHA256: 0a7afc9efb1bee8a1314b753aa73f3cc80d330a303b329e452bbd87b233ad473
SHA512: 989408a0feb37f29aa081c64584a804eb06afd75c559eb6c3265728f39e6378827ce5e2f578dd00a9a5ab1883fc7eac9b80a5484409ba23623f76b96c02521f0
Homepage: https://cran.r-project.org/package=esback
Description: CRAN Package 'esback' (Expected Shortfall Backtesting)
 Implementations of the expected shortfall backtests of Bayer and Dimitriadis
 (2020) <doi:10.1093/jjfinec/nbaa013> as well as other well known backtests
 from the literature. Can be used to assess the correctness of forecasts of
 the expected shortfall risk measure which is e.g. used in the banking and
 finance industry for quantifying the market risk of investments. A special
 feature of the backtests of Bayer and Dimitriadis (2020)
 <doi:10.1093/jjfinec/nbaa013> is that they only require forecasts of the
 expected shortfall, which is in striking contrast to all other existing
 backtests, making them particularly attractive for practitioners.

Package: r-cran-esc
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-esc_0.5.1-1.ca2004.1_all.deb
Size: 161964
MD5sum: 2592a1d7b526c452175189bf5ea487d7
SHA1: a7639cfe4707b0db7b975bdeea72fbdafdeb8075
SHA256: ba08776070b038d2c2950638939b93c2f0e38221b872b10d44bd090f03233b21
SHA512: 52e4841121c9c6a60f5177b3d46c09078fcdf5e94e54f0f76acc362c7e9ee191c86d1e3ee0a6daa431f25666ae32266abd1c31bc3d850dbe10f326865081d3d3
Homepage: https://cran.r-project.org/package=esc
Description: CRAN Package 'esc' (Effect Size Computation for Meta Analysis)
 Implementation of the web-based 'Practical Meta-Analysis Effect Size
 Calculator' from David B. Wilson
 (<http://www.campbellcollaboration.org/escalc/html/EffectSizeCalculator-Home.php>)
 in R. Based on the input, the effect size can be returned as standardized
 mean difference, Cohen's f, Hedges' g, Pearson's r or Fisher's
 transformation z, odds ratio or log odds, or eta squared effect size.

Package: r-cran-escalation
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 14344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-ggplot2, r-cran-gtools, r-cran-dfcrm, r-cran-boin, r-cran-trialr, r-cran-diagrammer, r-cran-rcolorbrewer, r-cran-viridis, r-cran-binom, r-cran-r6, r-cran-mvtnorm, r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-escalation_0.1.10-1.ca2004.1_all.deb
Size: 1407568
MD5sum: d53ca836d6b1465927bbbb826155437e
SHA1: 84bbe2057690a453ec4517e6d485050941d04aea
SHA256: 018e277656085fdb692688172bf0a8a95f7824e160ed812d0a6b47329406daa7
SHA512: 5acdbe41a7f4203ff0277363e544cf9cfd0e40388c4a5f48bfe70b94ec6d20ce3beab4b5f325079b9d91a34977fcf4482880dc002f70820b25949bac82da7d42
Homepage: https://cran.r-project.org/package=escalation
Description: CRAN Package 'escalation' (A Modular Approach to Dose-Finding Clinical Trials)
 Methods for working with dose-finding clinical trials. We provide
 implementations of many dose-finding clinical trial designs, including the
 continual reassessment method (CRM) by O'Quigley et al. (1990)
 <doi:10.2307/2531628>, the toxicity probability interval (TPI) design by Ji
 et al. (2007) <doi:10.1177/1740774507079442>, the modified TPI (mTPI) design
 by Ji et al. (2010) <doi:10.1177/1740774510382799>, the Bayesian optimal
 interval design (BOIN) by Liu & Yuan (2015) <doi:10.1111/rssc.12089>, EffTox
 by Thall & Cook (2004) <doi:10.1111/j.0006-341X.2004.00218.x>; the design of
 Wages & Tait (2015) <doi:10.1080/10543406.2014.920873>, and the 3+3
 described by Korn et al. (1994) <doi:10.1002/sim.4780131802>. All designs
 are implemented with a common interface. We also offer optional additional
 classes to tailor the behaviour of all designs, including avoiding skipping
 doses, stopping after n patients have been treated at the recommended dose,
 stopping when a toxicity condition is met, or demanding that n patients are
 treated before stopping is allowed. By daisy-chaining together these classes
 using the pipe operator from 'magrittr', it is simple to tailor the
 behaviour of a dose-finding design so it behaves how the trialist wants.
 Having provided a flexible interface for specifying designs, we then provide
 functions to run simulations and calculate dose-paths for future cohorts of
 patients.

Package: r-cran-esci
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3538
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jmvcore, r-cran-r6, r-cran-rlang, r-cran-multcomp, r-cran-sadists, r-cran-statpsych, r-cran-metafor, r-cran-ggplot2, r-cran-ggdist, r-cran-ggtext, r-cran-ggbeeswarm, r-cran-glue, r-cran-rdpack, r-cran-stringr, r-cran-mathjaxr, r-cran-legendry
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-esci_1.0.7-1.ca2004.1_all.deb
Size: 3030904
MD5sum: b9bfc7cdd64b863dbf6086076e247e0c
SHA1: 059967c066614c1242fba53c2be6b310cd4cce30
SHA256: bd4c4d11e675125812306f98678d9865887e1bf0c62e3ec2afbaf8a8defda0f9
SHA512: 1b6eb760bcbd607514bfb590c402bf0e7e4e876ee6e2e41470bb9e9fca4050ec28a6093cdf5fe2438593388d9d4d69bebf265790aa1595e28934e97ef2a9d917
Homepage: https://cran.r-project.org/package=esci
Description: CRAN Package 'esci' (Estimation Statistics with Confidence Intervals)
 A collection of functions and 'jamovi' module for the estimation approach to
 inferential statistics, the approach which emphasizes effect sizes, interval
 estimates, and meta-analysis. Nearly all functions are based on 'statpsych'
 and 'metafor'.  This package is still under active development, and breaking
 changes are likely, especially with the plot and hypothesis test functions.
 Data sets are included for all examples from Cumming & Calin-Jageman (2024)
 <ISBN:9780367531508>.

Package: r-cran-escvtmle
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-superlearner, r-cran-origami, r-cran-dplyr, r-cran-tidyselect, r-cran-mass, r-cran-stringr, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-escvtmle_0.0.2-1.ca2004.1_all.deb
Size: 124068
MD5sum: 2fca14bd4d08a836c88f3e35b2a3879f
SHA1: 44b99e5d91346f890dd59103ac28ddd8155dfc85
SHA256: 144a813fc1631378db5d823009ae88d75cde643449d49f8127f40f47082e023b
SHA512: 19313742c24d00c18b5e3eb0582f44458069ef452f9885b10c5e5e52af2b20a67ad13baf2e7a8eb7661cb17ac7c6b4600a55f03688e71706cb4d43640d211260
Homepage: https://cran.r-project.org/package=EScvtmle
Description: CRAN Package 'EScvtmle' (Experiment-Selector CV-TMLE for Integration of Observational andRCT Data)
 The experiment selector cross-validated targeted maximum likelihood
 estimator (ES-CVTMLE) aims to select the experiment that optimizes the
 bias-variance tradeoff for estimating a causal average treatment effect
 (ATE) where different experiments may include a randomized controlled trial
 (RCT) alone or an RCT combined with real-world data. Using cross-validation,
 the ES-CVTMLE separates the selection of the optimal experiment from the
 estimation of the ATE for the chosen experiment. The estimated bias term in
 the selector is a function of the difference in conditional mean outcome
 under control for the RCT compared to the combined experiment. In order to
 help include truly unbiased external data in the analysis, the estimated
 average treatment effect on a negative control outcome may be added to the
 bias term in the selector. For more details about this method, please see
 Dang et al. (2022) <arXiv:2210.05802>.

Package: r-cran-esdesign
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-esdesign_1.0.3-1.ca2004.1_all.deb
Size: 120088
MD5sum: de8a9f4395e886d5f86b28a5363aa362
SHA1: 398e9582f6a78e25ddf101046b2fc26e31f71a4c
SHA256: 285c96f64288fcf614b691d6d08be9dcb9a3887da67a5a77bc7c0d55adb36379
SHA512: 2f55fc6d756bb6f34a5824b1796be056619717ab9ec9c5a9bcdce966879f7fa92148cfa546742f38211df3dd5435b1fa0e0c50c4aff2b22694e2ba660956b676
Homepage: https://cran.r-project.org/package=esDesign
Description: CRAN Package 'esDesign' (Adaptive Enrichment Designs with Sample Size Re-Estimation)
 Software of 'esDesign' is developed to implement the adaptive enrichment
 designs with sample size re-estimation presented in Lin et al. (2021) <doi:
 10.1016/j.cct.2020.106216>. In details, three-proposed trial designs are
 provided, including the AED1-SSR (or ES1-SSR), AED2-SSR (or ES2-SSR) and
 AED3-SSR (or ES3-SSR). In addition, this package also contains several
 widely used adaptive designs, such as the Marker Sequential Test (MaST)
 design proposed Freidlin et al.  (2014) <doi:10.1177/1740774513503739>, the
 adaptive enrichment designs without early stopping (AED or ES), the sample
 size re-estimation procedure (SSR) based on the conditional power proposed
 by Proschan and Hunsberger (1995), and some useful functions.  In details,
 we can calculate the futility and/or efficacy stopping boundaries, the
 sample size required, calibrate the value of the threshold of the difference
 between subgroup-specific test statistics, conduct the simulation studies in
 AED, SSR, AED1-SSR, AED2-SSR and AED3-SSR.

Package: r-cran-esdm
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4634
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rocr, r-cran-sf, r-cran-shiny, r-cran-units
Suggests: r-cran-colorramps, r-cran-colourpicker, r-cran-dichromat, r-cran-dt, r-cran-knitr, r-cran-leafem, r-cran-leaflet, r-cran-maps, r-cran-raster, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-shinybusy, r-cran-shinydashboard, r-cran-shinyjs, r-cran-testthat, r-cran-tmap, r-cran-viridis, r-cran-zip
Filename: pool/dists/focal/main/r-cran-esdm_0.4.4-1.ca2004.1_all.deb
Size: 3701396
MD5sum: c5c083286600a3e36b3f4079adca2775
SHA1: 673228aff3e0fb97d4102feb694bb5fccb37488a
SHA256: 78bfacaa503fdf6e3655ac99f059ec0fa046616787f24378f1079f42cbf8011d
SHA512: c27974f413a1fa590e408bccbf233d0388b5e497cda8e6baaf59338418f83a8caf915bd1ecf79b373c926b3bd8edcd1712dd2e6b55bdb460357343339314a320
Homepage: https://cran.r-project.org/package=eSDM
Description: CRAN Package 'eSDM' (Ensemble Tool for Predictions from Species Distribution Models)
 A tool which allows users to create and evaluate ensembles of species
 distribution model (SDM) predictions.  Functionality is offered through R
 functions or a GUI (R Shiny app).  This tool can assist users in identifying
 spatial uncertainties and making informed conservation and management
 decisions. The package is further described in Woodman et al (2019)
 <doi:10.1111/2041-210X.13283>.

Package: r-cran-esea
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4890
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-xml, r-cran-parmigene
Suggests: r-cran-matrix, r-bioc-graph
Filename: pool/dists/focal/main/r-cran-esea_1.0-1.ca2004.1_all.deb
Size: 4287016
MD5sum: 05c965efd9fccb0c1b9b37ecf5b4f784
SHA1: c0a47ee1e061f86b0a0506080e7c746e8b45bb1f
SHA256: 6a32e08a02b245433d8556876053f559f9203e2e0cd5202699339edc1c21900c
SHA512: 20563aab09a0e0c7e42752fb8080d09e561242c0dcd92d2022486149bf61669553d2d9771497e506a0324152b1266c77b398caaec27acd8b863333799b9adc9f
Homepage: https://cran.r-project.org/package=ESEA
Description: CRAN Package 'ESEA' (ESEA: Discovering the Dysregulated Pathways based on Edge SetEnrichment Analysis)
 The package can identify the dysregulated canonical pathways by
 investigating the changes of biological relationships of pathways in the
 context of gene expression data. (1) The ESEA package constructs a
 background set of edges by extracting pathway structure (e.g. interaction,
 regulation, modification, and binding etc.) from the seven public databases
 (KEGG; Reactome; Biocarta; NCI; SPIKE; HumanCyc; Panther) and the edge sets
 of pathways for each of the above databases. (2) The ESEA package can can
 quantify the change of correlation between genes for each edge based on gene
 expression data with cases and controls. (3) The ESEA package uses the
 weighted Kolmogorov-Smirnov statistic to calculate an edge enrichment score
 (EES), which reflects the degree to which a given pathway is associated the
 specific phenotype. (4) The ESEA package can provide the visualization of
 the results.

Package: r-cran-eselect
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-comparedesign
Filename: pool/dists/focal/main/r-cran-eselect_1.1-1.ca2004.1_all.deb
Size: 65472
MD5sum: c44d971c8500ec9d319f52a188925dc7
SHA1: a305b4c676ade20df3c0df8ff2b971a0d391e83f
SHA256: 132dc51823a1895475bb0a9223b94415a7778c3a58a98655f11f5314940be0f5
SHA512: cc2176e177b39f9fced1cc1c5da43a0fcae5fe83b3902c2c4d5336868769966dabea6b23780d1c6b318336e18935e1a83cef93e69a85ffcede09f20e54d8e5cc
Homepage: https://cran.r-project.org/package=eselect
Description: CRAN Package 'eselect' (Adaptive Clinical Trial Designs with Endpoint Selection andSample Size Reassessment)
 Endpoint selection and sample size reassessment for multiple binary
 endpoints based on blinded and/or unblinded data. Trial design that allows
 an adaptive modification of the primary endpoint based on blinded
 information obtained at an interim analysis. The decision rule chooses the
 endpoint with the lower estimated required sample size. Additionally, the
 sample size is reassessed using the estimated event probabilities and
 correlation between endpoints. The implemented design is proposed in Bofill
 Roig, M., Gómez Melis, G., Posch, M., and Koenig, F. (2022).
 <doi:10.48550/arXiv.2206.09639>.

Package: r-cran-esem
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gparotation, r-cran-lavaan, r-cran-magrittr, r-cran-psych, r-cran-tidyr, r-cran-dplyr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-esem_2.0.0-1.ca2004.1_all.deb
Size: 107664
MD5sum: 10ec166adc5f77e199e919a10429d34a
SHA1: 83e892a1554dd76d63b22c3aaebbfc2248774c6e
SHA256: 219207123475d56ab04f4ecad19b9c9f05152731f3fc59ca7a06a00e7f468c1d
SHA512: 6e83c2ef5107e8c1da4ce288a48bf6d1177293fadae8fee1c21fac65e5d6553348126f83bae8c301f21a622f013f75f8443700ba1d82f29e47ba588305c844c9
Homepage: https://cran.r-project.org/package=esem
Description: CRAN Package 'esem' (Exploratory Structural Equation Modeling ESEM)
 A collection of functions developed to support the tutorial on using
 Exploratory Structural Equiation Modeling (ESEM) (Asparouhov & Muthén, 2009)
 <https://www.statmodel.com/download/EFACFA810.pdf>) with Longitudinal Study
 of Australian Children (LSAC) dataset (Mohal et al., 2023)
 <doi:10.26193/QR4L6Q>.  The package uses 'tidyverse','psych',
 'lavaan','semPlot' and provides additional functions to conduct ESEM.  The
 package provides general functions to complete ESEM, including esem_c(),
 creation of target matrix (if it is used) make_target(), generation of the
 Confirmatory Factor Analysis (CFA) model syntax esem_cfa_syntax().  A sample
 data is provided - the package includes a sample data of the Strengths and
 Difficulties Questionnaire of the Longitudinal Study of Australian Children
 (SDQ LSAC) in sdq_lsac().  'ESEM' package vignette presents the tutorial
 demonstrating the use of ESEM on SDQ LSAC data.

Package: r-cran-esg
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-esg_1.3-1.ca2004.1_all.deb
Size: 173892
MD5sum: 79c1284c75acb90a0ff89eccf3029370
SHA1: 159dd22ea643a6d6e477e1d8b5e65c476990edaa
SHA256: 0377c51dde6657edfb2a16e9ace77160d3020b30f8286307a10afde145a7e66c
SHA512: bb80801bb2d1a45b93ada192cfed32559c9cef34b250b0fa34a713bc362e7a31199a5ac64e7bc8c4632be1eefe72447d7bd03fdab409a338d70f0f1d8da543bf
Homepage: https://cran.r-project.org/package=ESG
Description: CRAN Package 'ESG' (A Package for Asset Projection)
 Presents a "Scenarios" class containing general parameters, risk parameters
 and projection results.  Risk parameters are gathered together into a
 ParamsScenarios sub-object. The general process for using this package is to
 set all needed parameters in a Scenarios object, use the
 customPathsGeneration method to proceed to the projection, then use
 xxx_PriceDistribution() methods to get asset prices.

Package: r-cran-eshrink
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-eshrink_0.1.2-1.ca2004.1_all.deb
Size: 65516
MD5sum: fd0dea43df7f04e9870d2e96a9d1202e
SHA1: 9f0f2c5966933dac42afb2ded45e76e05982f919
SHA256: ac450f35c5c706870eb17cf73a8aaf60298e516aebc578bca1cc7cfefcbca34d
SHA512: efeaef28151badcffe04e9ba1d5f29ab291611d4681c892edca615d432d9b481eaf7edc5a24bc7c29d78d5bf475ccb03b581b955e5681544fb7136706d57322c
Homepage: https://cran.r-project.org/package=eshrink
Description: CRAN Package 'eshrink' (Shrinkage for Effect Estimation)
 Computes shrinkage estimators for regression problems. Selects penalty
 parameter by minimizing bias and variance in the effect estimate, where bias
 and variance are estimated from the posterior predictive distribution. See
 Keller and Rice (2017) <doi:10.1093/aje/kwx225> for more details.

Package: r-cran-esir
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3085
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-chron, r-cran-data.table, r-cran-ggplot2, r-cran-gtools, r-cran-scales, r-cran-reshape2, r-cran-rjags
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-esir_0.4.2-1.ca2004.1_all.deb
Size: 2800028
MD5sum: 4a3da684705ae3f89c74fe9242d2baf2
SHA1: ce30090c7f48119a0c9a9478d94c58bfbba48ab8
SHA256: 5df5409aa5600f0a41be8f862ed8486a24a32afe2d2a98ef22f65ded0462c2fd
SHA512: 66b91b62af2b94811634dda2d7332c1500470dbfd9947e9139852fa81a7e05cd367f180e6e358f82774a686b54d9a75c4fc8098739fbe1fadd1564ac5403d1e7
Homepage: https://cran.r-project.org/package=eSIR
Description: CRAN Package 'eSIR' (Extended State-Space SIR Models)
 An implementation of extended state-space SIR models developed by Song Lab
 at UM school of Public Health. There are several functions available by 1)
 including a time-varying transmission modifier, 2) adding a time-dependent
 quarantine compartment, 3) adding a time-dependent antibody-immunization
 compartment.  Wang L. (2020) <doi:10.6339/JDS.202007_18(3).0003>.

Package: r-cran-esmisc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-ggplot2, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-esmisc_0.0.3-1.ca2004.1_all.deb
Size: 416316
MD5sum: 7f1713660705501c1f45f90a2bf15616
SHA1: 4ea405073c2bd13b0553735e9993efa767d2d0fd
SHA256: a273508914b317f6d5510fc09abd5b7db667fd1f7b64d07499af1915f7598d4e
SHA512: 2194d9f90bdc1265fcd799128372be575cf794286da81828e57bf8fa77a42cb3ba46bf9b992b107b6e3a9d4a13b7777feacc4782012db8ee3b57af17e1c78368
Homepage: https://cran.r-project.org/package=esmisc
Description: CRAN Package 'esmisc' (Misc Functions of Eduard Szöcs)
 Misc functions programmed by Eduard Szöcs.  Provides read_regnie() to read
 gridded precipitation data from German Weather Service (DWD, see
 <http://www.dwd.de/> for more information).

Package: r-cran-esmtools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2472
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-dplyr, r-cran-dt, r-cran-fs, r-cran-ggplot2, r-cran-ggpubr, r-cran-htmltools, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-readxl, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-esmtools_1.0.1-1.ca2004.1_all.deb
Size: 497016
MD5sum: 8f253c67142df94f459f5ee65d1ed6dc
SHA1: b7f79fa10b1d33a37b655aa34f7e51eba3f1ce9d
SHA256: a73d0628368708f53bf3d7659d15d7533b52e6799da19983c82ae3587a584381
SHA512: 3ad511fbeb9665e3201b09ed1249358773e5ae3659ed9694fc44f15ae4a6342c0102612b66796ac76270ae289f2f99d08dbff999cc20c9a8629d3124eaed599e
Homepage: https://cran.r-project.org/package=esmtools
Description: CRAN Package 'esmtools' (Preprocessing Experience Sampling Method (ESM) Data)
 Tailored explicitly for Experience Sampling Method (ESM) data, it contains a
 suite of functions designed to simplify preprocessing steps and create
 subsequent reporting. It empowers users with capabilities to extract
 critical insights during preprocessing, conducts thorough data quality
 assessments (e.g., design and sampling scheme checks, compliance rate,
 careless responses), and generates visualizations and concise summary tables
 tailored specifically for ESM data. Additionally, it streamlines the
 creation of informative and interactive preprocessing reports, enabling
 researchers to transparently share their dataset preprocessing
 methodologies. Finally, it is part of a larger ecosystem which includes a
 framework and a web gallery (<https://preprocess.esmtools.com/>).

Package: r-cran-esquisse
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-datamods, r-cran-downlit, r-cran-ggplot2, r-cran-htmltools, r-cran-jsonlite, r-cran-phosphoricons, r-cran-rlang, r-cran-rstudioapi, r-cran-scales, r-cran-shiny, r-cran-shinybusy, r-cran-shinywidgets, r-cran-zip
Suggests: r-cran-officer, r-cran-rvg, r-cran-rio, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggthemes, r-cran-hrbrthemes, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-esquisse_2.1.0-1.ca2004.1_all.deb
Size: 1539252
MD5sum: 0674b138a24c0a6372065660c656e938
SHA1: 5f8068e3525a00d004fa31c8e51e5dc7ade94d85
SHA256: 0eea90392c240916a5460de87151b915ca702dd650bcb5de0b7534cebed17b77
SHA512: e4caa4cfb637114948f43943d62837d860d7d69dd97524298df6b220230be0cad3be7d4366d702cd1503de95f168de30aa2623ae90f504edb0961b4a1009d8ba
Homepage: https://cran.r-project.org/package=esquisse
Description: CRAN Package 'esquisse' (Explore and Visualize Your Data Interactively)
 A 'shiny' gadget to create 'ggplot2' figures interactively with
 drag-and-drop to map your variables to different aesthetics.  You can
 quickly visualize your data accordingly to their type, export in various
 formats, and retrieve the code to reproduce the plot.

Package: r-cran-essurvey
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-haven, r-cran-rvest, r-cran-tibble
Suggests: r-cran-foreign, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-essurvey_1.0.8-1.ca2004.1_all.deb
Size: 125268
MD5sum: 2519f355076296094688960c6acb153e
SHA1: 31a859bc2cd05d29da2fc142596292cb8bfd4956
SHA256: 4ee73531a19bad8ae23215dc02dc0847decfa55920460ea3b47b6cb992a23a62
SHA512: e91231c4fc7be0aff41c0e43c1a20a73db678f8e831cf5c4e880e1547b4c88b20c20c3c7da1890c111388dd625e9b4380a9f7bd42a10d2ea18ad1998e0c7023c
Homepage: https://cran.r-project.org/package=essurvey
Description: CRAN Package 'essurvey' (Download Data from the European Social Survey on the Fly)
 Download data from the European Social Survey directly from their website
 <http://www.europeansocialsurvey.org/>. There are two families of functions
 that allow you to download and interactively check all countries and rounds
 available.

Package: r-cran-estadistica
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4287
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-plotly, r-cran-ggplot2, r-cran-rio, r-cran-data.table, r-cran-shiny, r-cran-shinydashboard, r-cran-knitr, r-cran-gridextra, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-estadistica_0.2.3-1.ca2004.1_all.deb
Size: 3654004
MD5sum: 38db2ce8e64237400982bb9eb139969a
SHA1: c49eb6fa55af87607b88cc8126791f300d2c22d1
SHA256: 383885d428d90c2c3d53d5328844223ea55c80a89262b78f9cd9888fd00ea95c
SHA512: d3d8cd8dba0a01b8b31bb7a45465325296b0c69ec1f1d6dc4165f349b5f34b5cc9dbd71e4227b37a5e7a4217e872f1d57b33a6dc552ae49e2b5f5fd59c5a9faa
Homepage: https://cran.r-project.org/package=estadistica
Description: CRAN Package 'estadistica' (Fundamentos De Estadistica Descriptiva e Inferencial)
 Este paquete pretende apoyar el proceso enseñanza-aprendizaje de estadística
 descriptiva e inferencial. Las funciones contenidas en el paquete
 'estadistica' cubren los conceptos básicos estudiados en un curso
 introductorio. Muchos conceptos son ilustrados con gráficos dinámicos o web
 apps para facilitar su comprensión. This package aims to help the
 teaching-learning process of descriptive and inferential statistics. The
 functions contained in the package 'estadistica' cover the basic concepts
 studied in a statistics introductory course. Many concepts are illustrated
 with dynamic graphs or web apps to make the understanding easier. See:
 Esteban et al. (2005, ISBN: 9788497323741), Newbold et al.(2019,
 ISBN:9781292315034 ), Murgui et al. (2002, ISBN:9788484424673) .

Package: r-cran-estatapi
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-readr, r-cran-dplyr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-testthat, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-estatapi_0.4.0-1.ca2004.1_all.deb
Size: 41908
MD5sum: bae7f8c3c60d7cd5efcdaaeabfdee4ce
SHA1: 3437706356bbd7387e8d694ed65fb9b95751d4f6
SHA256: 4fc8ac650092bba8089f94ecf33dad5ee6ae6cfdb7d728831083274c067a8b5e
SHA512: 5be9ad8769fe0e34caef80d19858f9e472a19c9570f22cb99417b1945f7c5873099fd4efd23dcafd8ee34cb86cf61d71589a96a266612e76ba87c114999b858d
Homepage: https://cran.r-project.org/package=estatapi
Description: CRAN Package 'estatapi' (R Interface to e-Stat API)
 Provides an interface to e-Stat API, the one-stop service for official
 statistics of the Japanese government.

Package: r-cran-estcrm
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hmisc, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-estcrm_1.6-1.ca2004.1_all.deb
Size: 109236
MD5sum: 254da0266eefddd66e4e8b4203b50a88
SHA1: 10cb45bacdf5bdb5a2a49511c8ce1e31fa64924f
SHA256: 2581f97dd84d4de0e71280f4fb3a2c1588c2cd633932a35037de2bff65aaa18b
SHA512: b1bd38931de56920b90571d27c6ab1484d21a6ba6e0217431f19071d8efccc5894515ee68d48593397f729028205f3fdced205a285b475838994868525403db5
Homepage: https://cran.r-project.org/package=EstCRM
Description: CRAN Package 'EstCRM' (Calibrating Parameters for the Samejima's Continuous IRT Model)
 Estimates item and person parameters for the Continuous Response Model (CRM;
 Samejima, 1973, <doi:10.1007/BF02291114>), computes item fit residual
 statistics, draws empirical 3D item category response curves, draws
 theoretical 3D item category response curves, and generates data under the
 CRM for simulation studies.

Package: r-cran-ester
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2327
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brms, r-cran-lme4, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-rlang, r-cran-foreach, r-cran-doparallel, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ester_0.2.0-1.ca2004.1_all.deb
Size: 1073556
MD5sum: a57fe7e16b2b3381a548328d3941eb8c
SHA1: 4d95d487973c061f2d09e0458e51d31e11e0630b
SHA256: a5bb629875fe9f7e7f30427be80c0cadadef7d6360a6ecb893a8ce9196a593e2
SHA512: acd30e32bbd9d21e60216d000d5aaf7701df7ffc51c83709e4bd46015f560fca2be8b8802a48721356aa150179170de5d456460e1d8913ecff185bcf25677d64
Homepage: https://cran.r-project.org/package=ESTER
Description: CRAN Package 'ESTER' (Efficient Sequential Testing with Evidence Ratios)
 An implementation of sequential testing that uses evidence ratios computed
 from the weights of a set of models. These weights correspond either to
 Akaike weights computed from the Akaike Information Criterion (AIC) or the
 Bayesian Information Criterion (BIC) and following Burnham & Anderson (2004,
 <doi:10.1177/0049124104268644>) recommendations, or to pseudo-BMA weights
 computed from the WAIC or the LOO-IC of models fitted with 'brms' and
 following Yao et al. (2017, <arXiv:1704.02030v3>).

Package: r-cran-estimability
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-estimability_1.5.1-1.ca2004.1_all.deb
Size: 49164
MD5sum: 91e0fea76de48072304fbe5fe4e9f483
SHA1: 2eda1d2f42d36bbefd180522d644824835e332ce
SHA256: 2a5c78169360276dc9ec8916a78548ce3ea1d7eeedffad218304abe1a6f56659
SHA512: cee59c4d539fe90de2afa2c190b8ff6c52e2cb0bc14b8897d7824ca6db6824835324343b9be4f0b7fde5f8dcc51667322113b96e267a8ba99e3c8d6cf06dfc72
Homepage: https://cran.r-project.org/package=estimability
Description: CRAN Package 'estimability' (Tools for Assessing Estimability of Linear Predictions)
 Provides tools for determining estimability of linear functions of
 regression coefficients, and 'epredict' methods that handle non-estimable
 cases correctly. Estimability theory is discussed in many linear-models
 textbooks including Chapter 3 of Monahan, JF (2008), "A Primer on Linear
 Models", Chapman and Hall (ISBN 978-1-4200-6201-4).

Package: r-cran-estimatebreed
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-hrbrthemes, r-cran-broom, r-cran-purrr, r-cran-ggrepel, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-nasapower, r-cran-tidyr, r-cran-viridis, r-cran-cowplot, r-cran-sommer, r-cran-lme4, r-cran-minque, r-cran-car, r-cran-lmtest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-dt
Filename: pool/dists/focal/main/r-cran-estimatebreed_1.0.1-1.ca2004.1_all.deb
Size: 341876
MD5sum: eb27d0d6b10717bc2bac42ab7d2645fb
SHA1: 5865b2859394983d232bdcda7b4fd779543f6546
SHA256: c1a8704c846eccff793de70e55bb1991f2320bc2268017356ef9cf15ccddfc33
SHA512: 6c8087fc037e84e45dfafc9c57e0d96fa6e028d872f3e5e13eab163f66f6ff511e87b037fc37e9be3ff41381e470a0c5b9aca0fb7d0cb747974f97ba340956a0
Homepage: https://cran.r-project.org/package=EstimateBreed
Description: CRAN Package 'EstimateBreed' (Estimation of Environmental Variables and Genetic Parameters)
 Performs analyzes and estimates of environmental covariates and genetic
 parameters related to selection strategies and development of superior
 genotypes. It has two main functionalities, the first being about prediction
 models of covariates and environmental processes, while the second deals
 with the estimation of genetic parameters and selection strategies. Designed
 for researchers and professionals in genetics and environmental sciences,
 the package combines statistical methods for modeling and data analysis.
 This includes the plastochron estimate proposed by Porta et al. (2024)
 <doi:10.1590/1807-1929/agriambi.v28n10e278299>, Stress indices for genotype
 selection referenced by Ghazvini et al. (2024)
 <doi:10.1007/s10343-024-00981-1>, the Environmental Stress Index described
 by Tazzo et al. (2024) <https://revistas.ufg.br/vet/article/view/77035>,
 industrial quality indices of wheat genotypes (Szareski et al., 2019),
 <doi:10.4238/gmr18223>, Ear Indexes estimation (Rigotti et al., 2024),
 <doi:10.13083/reveng.v32i1.17394>, Selection index for protein and grain
 yield (de Pelegrin et al., 2017), <doi:10.4236/ajps.2017.813224>, Estimation
 of the ISGR - Genetic Selection Index for Resilience for environmental
 resilience (Bandeira et al., 2024)
 <https://www.cropj.com/Carvalho_18_12_2024_825_830.pdf>, estimation of Leaf
 Area Index (Meira et al., 2015)
 <https://www.fag.edu.br/upload/revista/cultivando_o_saber/55d1ef202e494.pdf>,
 Restriction of control variability (Carvalho et al., 2023)
 <doi:10.4025/actasciagron.v45i1.56156>, Risk of Disease Occurrence in
 Soybeans described by Engers et al. (2024) <doi:10.1007/s40858-024-00649-1>
 and estimation of genetic parameters for selection based on balanced
 experiments (Yadav et al., 2024) <doi:10.1155/2024/9946332>.

Package: r-cran-estimategroupnetwork
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-qgraph, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-mvtnorm, r-cran-jgl, r-cran-psych
Filename: pool/dists/focal/main/r-cran-estimategroupnetwork_0.3.1-1.ca2004.1_all.deb
Size: 102976
MD5sum: 13b0a158208dc94a13b505ce83956024
SHA1: dd0d971bafe73b748eca459ced7f151bd6939008
SHA256: ee80a962e970b04f5987b0056fcedbf23ca4b50e744c7e7970a6fa8a661e0d1c
SHA512: 9106c786da577eaaec56381ef548e103641c372645042997b1ec7ccaecc8c959b383b7ef1ca2be0feb307134971f329763a9f9d23ab4823e22655ba2b8629f86
Homepage: https://cran.r-project.org/package=EstimateGroupNetwork
Description: CRAN Package 'EstimateGroupNetwork' (Perform the Joint Graphical Lasso and Selects Tuning Parameters)
 Can be used to simultaneously estimate networks (Gaussian Graphical Models)
 in data from different groups or classes via Joint Graphical Lasso. Tuning
 parameters are selected via information criteria (AIC / BIC / extended BIC)
 or cross validation.

Package: r-cran-estimatew
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-plot.matrix, r-cran-r6
Filename: pool/dists/focal/main/r-cran-estimatew_0.1.0-1.ca2004.1_all.deb
Size: 324148
MD5sum: 4cdb72d6f0ab5b147a1890166b2ac3e5
SHA1: c54a661ce8f47a3614f44007919346706927b14d
SHA256: df4aea260d149d476f2313f4e82b56ee86fd1161fd42e911fe7c3ed0aded5867
SHA512: 477628fa501db640dfe0a0716b2447a45a9e03b5ab645e85703ba1fa109725a4f58e83a5b15d4917aa34780bef1b882b7474835dd8795a0ea3d286a6d5c703be
Homepage: https://cran.r-project.org/package=estimateW
Description: CRAN Package 'estimateW' (Estimation of Spatial Weight Matrices)
 Bayesian estimation of spatial weight matrices in spatial econometric panel
 models. Allows for estimation of spatial autoregressive (SAR), spatial error
 (SEM), spatial Durbin (SDM), spatial error Durbin (SDEM) and spatially
 lagged explanatory variable (SLX) type specifications featuring an unknown
 spatial weight matrix.  Methodological details are given in Krisztin and
 Piribauer (2022) <doi:10.1080/17421772.2022.2095426>.

Package: r-cran-estimationtools
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-deoptim, r-cran-bbmisc, r-cran-ga, r-cran-gaussquad, r-cran-rdpack, r-cran-numderiv, r-cran-boot, r-cran-autoimage, r-cran-stringr
Suggests: r-cran-gamlss.dist, r-cran-knitr, r-cran-rmarkdown, r-cran-adequacymodel, r-cran-readr, r-cran-covr, r-cran-testthat, r-cran-vdiffr, r-cran-spelling, r-cran-lifecycle, r-cran-matrixstats, r-cran-lintr, r-cran-v8
Filename: pool/dists/focal/main/r-cran-estimationtools_4.0.0-1.ca2004.1_all.deb
Size: 302012
MD5sum: 6af11f3c81642089324aea1287c2b35f
SHA1: cbfe17a9cefcca6a150689f3fecd97f8f4a8add4
SHA256: d2ed34626c3a53b53caedbb124bd9604020517080775f5c5602e922cd152c085
SHA512: 64a2ccf84a673dd0fad3865a86f5a157753e189bc7809613bf8baba4d7ff6e89b528b907beb47aae7e4bf7e8f88125e1b070bfcfea97cb018fcdee5d6e9d1307
Homepage: https://cran.r-project.org/package=EstimationTools
Description: CRAN Package 'EstimationTools' (Maximum Likelihood Estimation for Probability Functions fromData Sets)
 Total Time on Test plot and routines for parameter estimation of any
 lifetime distribution implemented in R via maximum likelihood (ML) given a
 data set. It is implemented thinking on parametric survival analysis, but it
 feasible to use in parameter estimation of probability density or mass
 functions in any field. The main routines 'maxlogL' and 'maxlogLreg' are
 wrapper functions specifically developed for ML estimation. There are
 included optimization procedures such as 'nlminb' and 'optim' from base
 package, and 'DEoptim' Mullen (2011) <doi: 10.18637/jss.v040.i06>. Standard
 errors are estimated with 'numDeriv' Gilbert (2011)
 <https://CRAN.R-project.org/package=numDeriv> or the option 'Hessian = TRUE'
 of 'optim' function.

Package: r-cran-estimators
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-extradistr, r-cran-ggh4x, r-cran-ggplot2, r-cran-matrix, r-cran-progress
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-estimators_0.8.5-1.ca2004.1_all.deb
Size: 570812
MD5sum: 1cf5db79b741a77870239fe8b6b9741a
SHA1: 7b00ce64209f162d88a26d739b57b7b446f5d246
SHA256: df06ad51c0ee2b10ac7540033ee745ef89788db6b3d232423ba7a69c4fac7b2f
SHA512: 60f72fb72733c63f24818cbd5581e4e1a12b52770870d323927d8aa00cc7ca4b8d516fbadca456caed54f5a7dcee17ed98c4a0b6be86184ca6402607d3c71648
Homepage: https://cran.r-project.org/package=estimators
Description: CRAN Package 'estimators' (Parameter Estimation)
 Implements estimation methods for parameters of common distribution
 families. The common d, p, q, r function family for each distribution is
 enriched with the ll, e, and v counterparts, computing the log-likelihood,
 performing estimation, and calculating the asymptotic variance - covariance
 matrix, respectively. Parameter estimation is performed analytically
 whenever possible.

Package: r-cran-estimdiagnostics
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-reshape2, r-cran-ggplot2, r-cran-goftest, r-cran-testthat, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-estimdiagnostics_0.0.3-1.ca2004.1_all.deb
Size: 97824
MD5sum: 8b51185d1625ac54e8af0e5df77a2f3f
SHA1: a15c15d1f95204ba7c1c5d38d55a9951ef8d29f5
SHA256: bea70be3de7697b16c9630b78e689f5d890273d3a43560a0ac99860e3f4b85f9
SHA512: cd26df202c88dd4d7777caafae0e9dffb0ce7c5a1bf308dd96699ed4c7b902e0a24ea5a43604ee6a2c4b6c47a8fc9aeb7bedd2c1c58102a001e6c1160eac439a
Homepage: https://cran.r-project.org/package=EstimDiagnostics
Description: CRAN Package 'EstimDiagnostics' (Diagnostic Tools and Unit Tests for Statistical Estimators)
 Extension of 'testthat' package to make unit tests on empirical
 distributions of estimators and functions for diagnostics of their
 finite-sample performance.

Package: r-cran-estimraw
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-estimraw_1.0.0-1.ca2004.1_all.deb
Size: 21112
MD5sum: 38dc7437b5ac5294e97c5d4189594252
SHA1: 266562f92ba311f33565c09e03e262707219e42b
SHA256: bced997297495f171cae2cbdfbe0782a0a1915c3ac92a6960074f93e2ce7d03c
SHA512: 537a79c900f52b987b384a8be48dadddf72502e24a905e3be95d5df4bffaff5b5bc6806e20eadfbfa7dfbdd121a6858cd1584f34e7cdb352f69e15a4e1e2c95a
Homepage: https://cran.r-project.org/package=estimraw
Description: CRAN Package 'estimraw' (Estimation of Four-Fold Table Cell Frequencies (Raw Data) fromEffect Size Measures)
 Estimation of four-fold table cell frequencies (raw data) from risk ratios
 (relative risks), risk differences and odds ratios. While raw data can be
 useful for doing meta-analysis, such data is often not provided by primary
 studies (with summary statistics being solely presented). Therefore, based
 on summary statistics (namely, risk ratios, risk differences and odds
 ratios), this package estimates the value of each cell in a 2x2 table
 according to the equations described in Di Pietrantonj C (2006)
 <doi:10.1002/sim.2287>.

Package: r-cran-estmeansd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-metablue
Filename: pool/dists/focal/main/r-cran-estmeansd_1.0.1-1.ca2004.1_all.deb
Size: 107636
MD5sum: 37defe88c4733b58b12a1614957d627c
SHA1: 964df055ca5dec74fc63805d8403cc14e8341f1d
SHA256: 6cb7e4b08e16ab6e390f70aefba77d96a54ea241d79667001ba1baa04342d4c5
SHA512: b4c05ce9f9a968b04006c752cc9584ff5acfe86f50915692a4e1c65311c38539f80985b3fcffa39b9f674b417a04ab74480bd411da7045f447b07f53109bfb0a
Homepage: https://cran.r-project.org/package=estmeansd
Description: CRAN Package 'estmeansd' (Estimating the Sample Mean and Standard Deviation from CommonlyReported Quantiles in Meta-Analysis)
 Implements the methods of McGrath et al. (2020)
 <doi:10.1177/0962280219889080> and Cai et al. (2021)
 <doi:10.1177/09622802211047348> for estimating the sample mean and standard
 deviation from commonly reported quantiles in meta-analysis. These methods
 can be applied to studies that report the sample median, sample size, and
 one or both of (i) the sample minimum and maximum values and (ii) the first
 and third quartiles. The corresponding standard error estimators described
 by McGrath et al. (2023) <doi:10.1177/09622802221139233> are also included.

Package: r-cran-estout
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-estout_1.2-1.ca2004.1_all.deb
Size: 43236
MD5sum: 20e8dd4514376d521b4fe71a481d652c
SHA1: eccf988ea84379afac36752d7b9c83b4021b1373
SHA256: d2a3a63d6e3bb76b0a33782c65e40aacfb200ca9fb12929d1e08c70405e85871
SHA512: 79ea79b1ab8e27a04b43574831f9729262ae79dd38ff8e7d51e596f974a6e7fe55ccba131b484320cc8e68378e4862e138a9328c400e090fe29dc30e84d8c6ad
Homepage: https://cran.r-project.org/package=estout
Description: CRAN Package 'estout' (Estimates Output)
 This package is intended to speedup the process of creating model-comparing
 tables common in Macroeconomics. The function collection stores the
 estimates of several models and formats it to a table of the form estimate
 starred and std.err.  below. The default output is LaTeX but output to CSV
 for later editing in a spreadsheet tool is possible as well. It works for
 linear models (lm) and panel models from the "plm"-package (plm). Two
 further implemented functions "descsto" and "desctab" enable you to export
 descriptive statistics of data-frames and single variables to LaTeX and CSV.

Package: r-cran-estprod
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lazyeval, r-cran-boot, r-cran-minpack.lm, r-cran-formula, r-cran-gmm
Filename: pool/dists/focal/main/r-cran-estprod_1.2-1.ca2004.1_all.deb
Size: 121548
MD5sum: deeb5da63cbc67a03236370bf15f029f
SHA1: 46eb17b34659dd4f742fb7860581c2e509cc3f5f
SHA256: 89ffbf6c016cb5a4effe7f8ba30c2d061b11130db1d2db379c6079dd5bbebd54
SHA512: c0261d62fd0f588bddd76640273812722fce7fb172756daef9c0b7640e6ea4284add8703dfa9b7e30027cf3e59a61b27a1e87682c4498bebfb75b9d403c4d1b5
Homepage: https://cran.r-project.org/package=estprod
Description: CRAN Package 'estprod' (Estimation of Production Functions)
 Estimation of production functions by the Olley-Pakes, Levinsohn-Petrin and
 Wooldridge methodologies.  The package aims to reproduce the results
 obtained with the Stata's user written opreg
 <http://www.stata-journal.com/article.html?article=st0145> and levpet
 <http://www.stata-journal.com/article.html?article=st0060> commands.  The
 first was originally proposed by Olley, G.S. and Pakes, A. (1996)
 <doi:10.2307/2171831>.  The second by Levinsohn, J. and Petrin, A. (2003)
 <doi:10.1111/1467-937X.00246>.  And the third by Wooldridge (2009)
 <doi:10.1016/j.econlet.2009.04.026>.

Package: r-cran-estsimpdmp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-estsimpdmp_1.2-1.ca2004.1_all.deb
Size: 56364
MD5sum: 700dfc0b666cee77591ced8565812fb7
SHA1: 589c168971b404f423c4c1881aaeebae2ad91307
SHA256: 0572107ed0d0164c05a9bf17218cac70a1b7af7022e9ccc9374bf58a68d967a5
SHA512: 27cb5fbb32043a98e54ad44e6dd06eeea799ca62c4cffb351a1f0d83e333ec3fcf8f4aa12b4e88f8370a2d3c899f104d34b60637208402b8cf0151bdbbd59ec0
Homepage: https://cran.r-project.org/package=EstSimPDMP
Description: CRAN Package 'EstSimPDMP' (Estimation and Simulation for PDMPs)
 This package deals with the estimation of the jump rate for
 piecewise-deterministic Markov processes (PDMPs), from only one observation
 of the process within a long time. The main functions provide an estimate of
 this function. The state space may be discrete or continuous. The associated
 paper has been published in Scandinavian Journal of Statistics and is given
 in references. Other functions provide a method to simulate random variables
 from their (conditional) hazard rate, and then to simulate PDMPs.

Package: r-cran-esvis
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sfsmisc, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-purrr, r-cran-hmisc, r-cran-tibble
Suggests: r-cran-testthat, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-esvis_0.3.1-1.ca2004.1_all.deb
Size: 1194508
MD5sum: ace778a6524013e824a949ab0880fd81
SHA1: 99b2541d9a49fc9e1074f3f8b8eba74288bbb563
SHA256: 613927dd638180910205707168b350bf384f5f316bf748e0d4f30ce7ce965caf
SHA512: 247f7c64831087c098ae77dc8f79020115b05ccc50f3a238d1e4d4d9ab466b9ebdcfdb608ea76d0a8c0223ea3df9f5d827b0e41c463565c27186d79547fb436c
Homepage: https://cran.r-project.org/package=esvis
Description: CRAN Package 'esvis' (Visualization and Estimation of Effect Sizes)
 A variety of methods are provided to estimate and visualize distributional
 differences in terms of effect sizes. Particular emphasis is upon evaluating
 differences between two or more distributions across the entire scale,
 rather than at a single point (e.g., differences in means). For example,
 Probability-Probability (PP) plots display the difference between two or
 more distributions, matched by their empirical CDFs (see Ho and Reardon,
 2012; <doi:10.3102/1076998611411918>), allowing for examinations of where on
 the scale distributional differences are largest or smallest. The area under
 the PP curve (AUC) is an effect-size metric, corresponding to the
 probability that a randomly selected observation from the x-axis
 distribution will have a higher value than a randomly selected observation
 from the y-axis distribution.  Binned effect size plots are also available,
 in which the distributions are split into bins (set by the user) and
 separate effect sizes (Cohen's d) are produced for each bin - again
 providing a means to evaluate the consistency (or lack thereof) of the
 difference between two or more distributions at different points on the
 scale. Evaluation of empirical CDFs is also provided, with built-in
 arguments for providing annotations to help evaluate distributional
 differences at specific points (e.g., semi-transparent shading). All
 function take a consistent argument structure. Calculation of specific
 effect sizes is also possible. The following effect sizes are estimable: (a)
 Cohen's d, (b) Hedges' g, (c) percentage above a cut, (d) transformed
 (normalized) percentage above a cut, (e) area under the PP curve, and (f)
 the V statistic (see Ho, 2009; <doi:10.3102/1076998609332755>), which
 essentially transforms the area under the curve to standard deviation units.
 By default, effect sizes are calculated for all possible pairwise
 comparisons, but a reference group (distribution) can be specified.

Package: r-cran-et.nwfva
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1689
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-et.nwfva_0.2.0-1.ca2004.1_all.deb
Size: 1241872
MD5sum: 0a4b22b73f93020545dfdbfd291be204
SHA1: 78667ed1fe02284498a2a1854d910b4dcaacb947
SHA256: 0ea7e63adce881450a6c7ef79108aea9439de2b1ffc257b735c07dafe4e33b0b
SHA512: 0e375e0357719784448fcad6c48f53b98c72b50766f7efbf3820d6b893186fdde23d8016f6d78d1dfc7245558c67ce15c7091daf3961ec58ed6b5ada9cd0e8d4
Homepage: https://cran.r-project.org/package=et.nwfva
Description: CRAN Package 'et.nwfva' (Forest Yield Tables for Northwest Germany and their Application)
 The new yield tables developed by the Northwest German Forest Research
 Institute (NW-FVA) provide a forest management tool for the five main
 commercial tree species oak, beech, spruce, Douglas-fir and pine for
 northwestern Germany. The new method applied for deriving yield tables
 combines measurements of growth and yield trials with growth simulations
 using a state-of-the-art single-tree growth simulator. By doing so, the new
 yield tables reflect the current increment level and the recommended
 graduated thinning from above is the underlying management concept. The
 yield tables are provided along with methods for deriving the site index and
 for interpolating between age and site indices and extrapolating beyond age
 and site index ranges. The inter-/extrapolations are performed traditionally
 by the rule of proportion or with a functional approach.

Package: r-cran-etable
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-etable_1.3.1-1.ca2004.1_all.deb
Size: 136384
MD5sum: 2ab76c881d838a9a77f016f66ca57e81
SHA1: e999b14f0b8c588abef06d871a20e97e125d1e5a
SHA256: 64f490820d0b687ae29dd505fdd2fe798c16b8c8cb007e4d69853dbdfc6ab5ee
SHA512: 5eaa755f4cbe92ade7b5d5ef94f4341c4189137e1874b02da59704d09114dcb6b1661403c3a202ab7f7e3d03163d93c45393c2236b540d19465a519d6f9ccec0
Homepage: https://cran.r-project.org/package=etable
Description: CRAN Package 'etable' (Easy Table)
 Creates simple to highly customized tables for a wide selection of
 descriptive statistics, with or without weighting the data.

Package: r-cran-etasbootstrap
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-etas, r-cran-mass, r-cran-spatstat.geom
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-etasbootstrap_0.2.0-1.ca2004.1_all.deb
Size: 418364
MD5sum: b537217bbf91d3210d285847468a3d0a
SHA1: cc9760545d6939a290405893a08beafc110595e0
SHA256: e4c2913848529748f5c8d4572b41ac973faba0c9ad9c3ae3324d5da041cf5cdd
SHA512: 3b688e6c42554a75342b223ce418c6b2f8791fff9cdc3afd774145948c871210d4510b0b61e92e3b2b3a763ff1c9a3e931ec94296f810d9287c038834a095725
Homepage: https://cran.r-project.org/package=ETASbootstrap
Description: CRAN Package 'ETASbootstrap' (Bootstrap Confidence Interval Estimation for 'ETAS' ModelParameters)
 The 2-D spatial and temporal Epidemic Type Aftershock Sequence ('ETAS')
 Model is widely used to 'decluster' earthquake data catalogs. Usually, the
 calculation of standard errors of the 'ETAS' model parameter estimates is
 based on the Hessian matrix derived from the log-likelihood function of the
 fitted model. However, when an 'ETAS' model is fitted to a local data set
 over a time period that is limited or short, the standard errors based on
 the Hessian matrix may be inaccurate. It follows that the asymptotic
 confidence intervals for parameters may not always be reliable. As an
 alternative, this package allows for the construction of bootstrap
 confidence intervals based on empirical quantiles for the parameters of the
 2-D spatial and temporal 'ETAS' model. This version improves on Version
 0.1.0 of the package by enabling the study space window (renamed 'study
 region') to be polygonal rather than merely rectangular. A Japan earthquake
 data catalog is used in a second example to illustrate this new feature.

Package: r-cran-etc
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-simcomp, r-cran-multcomp, r-cran-mratios
Filename: pool/dists/focal/main/r-cran-etc_1.5-1.ca2004.1_all.deb
Size: 54556
MD5sum: 68ff582b0bfd08825a450702c95b6cba
SHA1: 3b1c05b8727e8ed2fc370493f46f4bea5c7f50e0
SHA256: 182c6d0c259681f21db4fe550499193041c4df49087b7e04f35435fc8a291f7b
SHA512: c619565097a8f2b6771a1b41732cafcfd21510d06d368e05638f6b0f74cff961d85cce89d6dc0a1f14c83b5315b3b921c7280db6825aece227b7e531a1e4bce0
Homepage: https://cran.r-project.org/package=ETC
Description: CRAN Package 'ETC' (Equivalence to Control)
 Treatments of a one-way layout, being equivalent to a control, can be
 selected with this package. Bonferroni adjusted "two one-sided t-tests"
 (TOST) and related simultaneous confidence intervals are given for both
 differences or ratios of means of normally distributed data. For the case of
 equal variances and balanced sample sizes for the treatment groups, the
 single-step procedure of Bofinger and Bofinger (1995)
 <doi:10.1111/j.2517-6161.1995.tb02058.x> can be chosen. For non-normal data,
 the Wilcoxon test is applied.

Package: r-cran-ether
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-rmpfr
Suggests: r-cran-testthat, r-cran-httptest
Filename: pool/dists/focal/main/r-cran-ether_0.1.6-1.ca2004.1_all.deb
Size: 66972
MD5sum: 690a1788803731419d6fb1f33a9856a7
SHA1: 31fd18d1c2e0d830cc066473f24f7f62a705823a
SHA256: dd6ef477f89cd728a5233a28c5c1c8927d59d46029f87b3979e5c1e521f0d0d1
SHA512: b72c9cb141c449965b4d68428fabf687e8256a6f5153af02b62c92b683bf9fb89fdc5b79072357483a05baf3394d2be02b81017516f845039b2fd8bfa1824c4c
Homepage: https://cran.r-project.org/package=ether
Description: CRAN Package 'ether' (Interaction with the 'Ethereum' Blockchain)
 Interacts with the open-source, public 'Ethereum'
 <https://www.ethereum.org/> blockchain.  It provides a distributed computing
 platform via smart contracts. This package provides functions which
 interrogate blocks and transactions in the 'Ethereum' blockchain.

Package: r-cran-ethnobotanyr
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4425
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-circlize, r-cran-cowplot, r-cran-dplyr, r-cran-ggalluvial, r-cran-ggplot2, r-cran-ggridges, r-cran-reshape2, r-cran-magrittr
Suggests: r-cran-broom, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ethnobotanyr_0.1.9-1.ca2004.1_all.deb
Size: 2538612
MD5sum: 15b05ed35b9197dbf8c2507260afc3d9
SHA1: 7ada0a8143a276c0196eca2df26fae2218d75ddd
SHA256: 200ba4dc314901173f49b6250cd634d6f88f06bc91663e1e3671eaf3b60d21ab
SHA512: 90a6e0f869756ad26754dda24c63417df3a4a1faebf4ea280f279ef03a2f27003292dd84bdca7cdff60bda785b440e15849a7d903b59f76083c7db62be28f97e
Homepage: https://cran.r-project.org/package=ethnobotanyR
Description: CRAN Package 'ethnobotanyR' (Calculate Quantitative Ethnobotany Indices)
 An implementation of the quantitative ethnobotany indices in R. The goal is
 to provide an easy-to-use platform for ethnobotanists to assess the cultural
 significance of plant species based on informant consensus. The package
 closely follows the paper by Tardio and Pardo-de-Santayana (2008). Tardio,
 J., and M. Pardo-de-Santayana, 2008. Cultural Importance Indices: A
 Comparative Analysis Based on the Useful Wild Plants of Southern Cantabria
 (Northern Spain) 1. Economic Botany, 62(1), 24-39.
 <doi:10.1007/s12231-007-9004-5>.

Package: r-cran-etl
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-dbi, r-cran-dbplyr, r-cran-downloader, r-cran-fs, r-cran-janitor, r-cran-lubridate, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-tibble, r-cran-usethis, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rsqlite, r-cran-rpostgresql, r-cran-rmysql, r-cran-ggplot2, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-etl_0.4.1-1.ca2004.1_all.deb
Size: 124680
MD5sum: 1a46ab5ed60419603729632729a6d546
SHA1: 5bf78b43b5cde42dbafe35a84f06be04c5d7884a
SHA256: a26a4b8f81ee11be1d2672b0e393d89d04b1c4f1c158066c5f0c09b673067693
SHA512: 11c1e8fa4a295995a84deaba0be008529f9a859815cfa593cbb0f380c1f7b7082f9091480f2b3444709d3c5adbd8afbb1ef3bebd2960c7632a01905086f90763
Homepage: https://cran.r-project.org/package=etl
Description: CRAN Package 'etl' (Extract-Transform-Load Framework for Medium Data)
 A predictable and pipeable framework for performing ETL
 (extract-transform-load) operations on publicly-accessible medium-sized data
 set. This package sets up the method structure and implements generic
 functions. Packages that depend on this package download specific data sets
 from the Internet, clean them up, and import them into a local or remote
 relational database management system.

Package: r-cran-etlutils
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ff, r-cran-bit
Suggests: r-cran-rsqlite, r-cran-zoo, r-cran-dbi, r-cran-rodbc, r-cran-rjdbc
Filename: pool/dists/focal/main/r-cran-etlutils_1.5-1.ca2004.1_all.deb
Size: 96808
MD5sum: 11b433bbc0e5e53a88eac0a3df533f82
SHA1: f3964e84fab92031c52bee1fb9612a179be8b58b
SHA256: 8bbdfa418dad19254f84ba4839677947ae305a54bc3a4d1ca3973ce74fcee599
SHA512: 32ce0a71484b2646ee47ee165a011a76a0f44184ff51eaf5b0435f7928bab571141feee7e051713d78ed6bec770938ca7c9a3e3fa8d35b45c60518dbd1e40f0c
Homepage: https://cran.r-project.org/package=ETLUtils
Description: CRAN Package 'ETLUtils' (Utility Functions to Execute Standard Extract/Transform/LoadOperations (using Package 'ff') on Large Data)
 Provides functions to facilitate the use of the 'ff' package in interaction
 with big data in 'SQL' databases (e.g. in 'Oracle', 'MySQL', 'PostgreSQL',
 'Hive') by allowing easy importing directly into 'ffdf' objects using 'DBI',
 'RODBC' and 'RJDBC'. Also contains some basic utility functions to do fast
 left outer join merging based on 'match', factorisation of data and a basic
 function for re-coding vectors.

Package: r-cran-etma
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-etma_1.1-1-1.ca2004.1_all.deb
Size: 80696
MD5sum: 618afac75af15d8fd04cba44a33887cf
SHA1: 8d084a3931790a8266eb09c59eb0e92b0e837753
SHA256: 14a04ded07e3c7c8610dd08df2bad368ddd631f2a0ae61ffca53168042d4ab2e
SHA512: 64b13ad30095990efef120613465fe32785fb4119a438002163f7014cf1cdd91328b73be3a26bbbd161438ca39a2e96bc51d0872c9f825033795b881d74b2743
Homepage: https://cran.r-project.org/package=etma
Description: CRAN Package 'etma' (Epistasis Test in Meta-Analysis)
 Traditional meta-regression based method has been developed for using
 meta-analysis data, but it faced the challenge of inconsistent estimates.
 This package purpose a new statistical method to detect epistasis using
 incomplete information summary, and have proven it not only successfully let
 consistency of evidence, but also increase the power compared with
 traditional method (Detailed tutorial is shown in website).

Package: r-cran-etrader
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-urltools, r-cran-dplyr, r-cran-rvest, r-cran-purrr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-etrader_0.1.5-1.ca2004.1_all.deb
Size: 111460
MD5sum: 5dcfa2bd1e9b1abf04eda91752221036
SHA1: 511b8b79baf58efad6b4387ad965d9551d75f8eb
SHA256: c8c02bcb62ae4190a1c8ff73be87a769131f7517eb464fb05e0ba3dbcceb8a33
SHA512: 469c39570c229675b8ea105c68c23a834d7817fa28d6e853c1cf76d1c5127606a7e0ce20116f1281b5c661e66a7875d9241cc2704b59866bccf2ab7ea4201c61
Homepage: https://cran.r-project.org/package=etrader
Description: CRAN Package 'etrader' ('ETRADE' API Interface for R)
 Use R to interface with the 'ETRADE' API
 <https://developer.etrade.com/home>.  Functions include authentication,
 trading, quote requests, account information, and option chains. A user will
 need an ETRADE brokerage account and 'ETRADE' API approval. See README for
 authentication process and examples.

Package: r-cran-etree
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4464
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-braingraph, r-cran-cluster, r-cran-energy, r-cran-fda.usc, r-cran-igraph, r-cran-networkdistance, r-cran-partykit, r-cran-survival, r-cran-tda, r-cran-usedist
Suggests: r-cran-knitr, r-cran-mlmetrics, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-etree_0.1.0-1.ca2004.1_all.deb
Size: 3179092
MD5sum: 1cd51cf8377a16c02fdda1fdd1c86b4a
SHA1: 15df9b0dbe38a204dca4a4f5c40298adc9811c21
SHA256: 3c849967ef7a0907fa388a661181491f8aa2f929137e216c9ba97b403df37b96
SHA512: fe19104fdc81bd3b5aa6337925e71416993ef76ef6db1a4cfc0619b5d6beaa89cfabdcc35b6311e2ff463f56d3e6141b7ed5ba91e31967265223b51633e26c7b
Homepage: https://cran.r-project.org/package=etree
Description: CRAN Package 'etree' (Classification and Regression with Structured and Mixed-TypeData)
 Implementation of Energy Trees, a statistical model to perform
 classification and regression with structured and mixed-type data. The model
 has a similar structure to Conditional Trees, but brings in Energy
 Statistics to test independence between variables that are possibly
 structured and of different nature. Currently, the package covers functions
 and graphs as structured covariates. It builds upon 'partykit' to provide
 functionalities for fitting, printing, plotting, and predicting with Energy
 Trees. Energy Trees are described in Giubilei et al. (2022)
 <arXiv:2207.04430>.

Package: r-cran-etrep
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1906
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rgl, r-cran-shapes, r-cran-morpho, r-cran-matlib, r-cran-rspincalc, r-cran-rotations, r-cran-rvcg, r-cran-fields, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-etrep_1.2.0-1.ca2004.1_all.deb
Size: 1907352
MD5sum: cd7e17f59478edc8a8b9dce76082ea92
SHA1: d206c41b2e0b1c868e17ff63bc9591d5a97970c6
SHA256: c3d7c8eeecbbeb66b104418a0a1325962787784421c784cb1598395e34fbd9d4
SHA512: 76e39eac2bff160d91f0a4d4d95a28e6fcc43e79daf699d2d1e53613df80d8c7c479115dcd83044af6832f02e60a3e2ef0fff3b4cffcf11dbb71cc4143e122e6
Homepage: https://cran.r-project.org/package=ETRep
Description: CRAN Package 'ETRep' (Analysis of Elliptical Tubes Under the Relative CurvatureCondition)
 Analysis of elliptical tubes with applications in biological modeling. The
 package is based on the references: Taheri, M., Pizer, S. M., & Schulz, J.
 (2024) "The Mean Shape under the Relative Curvature Condition." arXiv
 <doi:10.48550/arXiv.2404.01043>. Mohsen Taheri Shalmani (2024) "Shape
 Statistics via Skeletal Structures", PhD Thesis, University of Stavanger,
 Norway <doi:10.13140/RG.2.2.34500.23685>. Key features include constructing
 discrete elliptical tubes, calculating transformations, validating
 structures under the Relative Curvature Condition (RCC), computing means,
 and generating simulations. Supports intrinsic and non-intrinsic mean
 calculations and transformations, size estimation, plotting, and random
 sample generation based on a reference tube. The intrinsic approach relies
 on the interior path of the original non-convex space, incorporating the
 RCC, while the non-intrinsic approach uses a basic robotic arm
 transformation that disregards the RCC.

Package: r-cran-etrm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 918
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-etrm_1.0.1-1.ca2004.1_all.deb
Size: 708220
MD5sum: cf9fbdcef69a67b85929fefc1c7c0b8a
SHA1: e8d3802f98d46f7fdea5879eebc595c3b707ab23
SHA256: a84d98286bf920c7c5cb755bb87850304d480014904f7b720b97e97d68cbd66e
SHA512: 55f0e33e370787c1bdf86182b8fba547b70fb7fef49478cf784dbc1cb88250221ae7c8fc41e1d217bd7ae64ae23d6d26eab6645b2e9241534e8817a74734d305
Homepage: https://cran.r-project.org/package=etrm
Description: CRAN Package 'etrm' (Energy Trading and Risk Management)
 Provides a collection of functions to perform core tasks within Energy
 Trading and Risk Management (ETRM). Calculation of maximum smoothness
 forward price curves for electricity and natural gas contracts with flow
 delivery, as presented in F. E. Benth, S. Koekebakker, and F. Ollmar (2007)
 <doi:10.3905/jod.2007.694791> and F. E. Benth, J. S. Benth, and S.
 Koekebakker (2008) <doi:10.1142/6811>.  Portfolio insurance trading
 strategies for price risk management in the forward market, see F. Black
 (1976) <doi:10.1016/0304-405X(76)90024-6>, T. Bjork (2009)
 <https://EconPapers.repec.org/RePEc:oxp:obooks:9780199574742>, F. Black and
 R. W. Jones (1987) <doi:10.3905/jpm.1987.409131> and H. E. Leland (1980)
 <http://www.jstor.org/stable/2327419>.

Package: r-cran-etrunct
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-etrunct_0.1-1.ca2004.1_all.deb
Size: 11848
MD5sum: 117faa41a02d79b508a682ca96e5003a
SHA1: a4ec112622231f79b10f6ba4ecd11c77d21fc35d
SHA256: 363c8dab318d7ab4760bbc8a7f64821786621402665756ec1328649ff4f3929b
SHA512: 03ad9521c2b656c6717c5203c8c3d69c22cf573aa6340b4194288b1c805898a1ab735f44403991d3140c5b7afb9070f341f3e3c3fb5aaf18b077473c76bab5ce
Homepage: https://cran.r-project.org/package=etrunct
Description: CRAN Package 'etrunct' (Computes Moments of Univariate Truncated t Distribution)
 Computes moments of univariate truncated t distribution.  There is only one
 exported function, e_trunct(), which should be seen for details.

Package: r-cran-etwfe
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fixest, r-cran-data.table, r-cran-formula, r-cran-marginaleffects, r-cran-tinyplot
Suggests: r-cran-did, r-cran-broom, r-cran-modelsummary, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-etwfe_0.5.0-1.ca2004.1_all.deb
Size: 195524
MD5sum: 666c82c9537d38a20af379cbfc855ee7
SHA1: 0defdea385d317b5aae3498ad0f4130da5d439a0
SHA256: d64a22ebbd5c83c189595acf83314fea660a32bcdf78aea3c30e18ef0e272337
SHA512: 7d60e22704e874224da7802958a8753586b55637b0719ab7300514f1595b587cacff7e0244350a158898759805581acfe61602459e1dfd87927c8460bd3b6094
Homepage: https://cran.r-project.org/package=etwfe
Description: CRAN Package 'etwfe' (Extended Two-Way Fixed Effects)
 Convenience functions for implementing extended two-way fixed effect
 regressions a la Wooldridge (2021, 2023) <doi:10.2139/ssrn.3906345>,
 <doi:10.1093/ectj/utad016>.

Package: r-cran-euclideansd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-euclideansd_0.1.0-1.ca2004.1_all.deb
Size: 22276
MD5sum: 2a4b9f7ea8b6d2e4822fef445c57c0f8
SHA1: 9c19b2661b9882a4d7db94b9a31302490efbeb56
SHA256: 5b59e68e5124e879c13c8abf9ac51080f6e3f59a6521eb0fc9ed6cac95603789
SHA512: 8323e2b69b0a5aa17bb9c3c8499e26022abb771bc8a799bc512c73f13bb3f834025cce3f20019cf1704cf74e6859518400ec3283e760d518a9ec9b524cfc378d
Homepage: https://cran.r-project.org/package=EuclideanSD
Description: CRAN Package 'EuclideanSD' (An Euclidean View of Center and Spread)
 Illustrates the concepts developed in Sarkar and Rashid (2019,
 ISSN:0025-5742)
 <http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&cad=rja&uact=8&ved=2ahUKEwiH4deL3q3xAhWX73MBHR_wDaYQFnoECAUQAw&url=https%3A%2F%2Fwww.indianmathsociety.org.in%2Fmathstudent-part-2-2019.pdf&usg=AOvVaw3SY--3T6UAWUnH5-Nj6bSc>.
 This package helps a user guess four things (mean, MD, scaled MSD, and RMSD)
 before they get the SD.  1) The package displays the Empirical Cumulative
 Distribution Function (ECDF) of the given data. The user must choose the
 value of the mean by equating the areas of two colored (blue and green)
 regions. The package gives feedback to improve the choice until it is
 correct. Alternatively, the reader may continue with a different guess for
 the center (not necessarily the mean).  2) The user chooses the values of
 the Mean Deviation (MD) based on the ECDF of the deviations by equating the
 areas of two newly colored (blue and green) regions, with feedback from the
 package until the user guesses correctly.  3) The user chooses the Scaled
 Mean Squared Deviation (MSD) based on the ECDF of the scaled square
 deviations by equating the areas of two newly colored (blue and green)
 regions, with feedback from the package until the user guesses correctly.
 4) The user chooses the Root Mean Squared Deviation (RMSD) by ensuring that
 its intersection with the ECDF of the deviations is at the same height as
 the intersection between the scaled MSD and the ECDF of the scaled squared
 deviations. Additionally, the intersection of two blue lines (the green dot)
 should fall on the vertical line at the maximum deviation.  5) Finally, if
 the mean is chosen correctly, only then the user can view the population SD
 (the same as the RMSD) and the sample SD (sqrt(n/(n-1))*RMSD) by clicking
 the respective buttons. If the mean is chosen incorrectly, the user is asked
 to correct it.

Package: r-cran-eudract
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 677
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-magrittr, r-cran-patchwork, r-cran-scales, r-cran-tidyr, r-cran-xml2, r-cran-xslt
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-eudract_1.0.4-1.ca2004.1_all.deb
Size: 303860
MD5sum: a76bea2b3b45e8bfd7541d4b9004950c
SHA1: 9d1c804a66a3ea4f6177af9efe78f3eaf31c3bbe
SHA256: 769e292e75c5bc106fadea260c1d9fea8ebb9ffe61340c182bb5387ae8f8fa04
SHA512: 09a76727e6ee4f5c01bfedf2b58782ac88b8302d7712bfa1d95d0cf1650b01db5a047282354a31273905cf5d2e08157b859ff50bb5de761cd05adbab4746cd68
Homepage: https://cran.r-project.org/package=eudract
Description: CRAN Package 'eudract' (Creates Safety Results Summary in XML to Upload to EudraCT, orClinicalTrials.gov)
 The remit of the European Clinical Trials Data Base (EudraCT
 <https://eudract.ema.europa.eu/> ), or ClinicalTrials.gov
 <https://clinicaltrials.gov/>, is to provide open access to summaries of all
 registered clinical trial results; thus aiming to prevent non-reporting of
 negative results and provide open-access to results to inform future
 research. The amount of information required and the format of the results,
 however, imposes a large extra workload at the end of studies on clinical
 trial units. In particular, the adverse-event-reporting component requires
 entering: each unique combination of treatment group and safety event; for
 every such event above, a further 4 pieces of information (body system,
 number of occurrences, number of subjects, number exposed) for non-serious
 events, plus an extra three pieces of data for serious adverse events
 (numbers of causally related events, deaths, causally related deaths). This
 package prepares the required statistics needed by EudraCT and formats them
 into the precise requirements to directly upload an XML file into the web
 portal, with no further data entry by hand.

Package: r-cran-eufmdis.adapt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-tibble, r-cran-tidyselect, r-cran-ggplot2, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-htmltools, r-cran-dt
Filename: pool/dists/focal/main/r-cran-eufmdis.adapt_0.1.0-1.ca2004.1_all.deb
Size: 209788
MD5sum: a383e3d44680b4207f330d05cd2da380
SHA1: f73bf03833b6f84bf2c6a0fc1a9b4d9acadcece5
SHA256: efc54dd0e834ebb6f8b53467ea76be55caf5343a99dcfc4fb5fcff9dfa45f634
SHA512: 80c80155b0b38fd5a0af7fce4057a021dd7f0c8b118940cd77ed2b146d2d30a8f5527d63438228374e754696ff13f9c2b2c52b7fd506c192dbece966d3751c48
Homepage: https://cran.r-project.org/package=eufmdis.adapt
Description: CRAN Package 'eufmdis.adapt' (Analyse 'EuFMDiS' Output Files via a Shiny App)
 Analyses 'EuFMDiS' output files in a Shiny App. The distributions of
 relevant output parameters are described in form of tables (quantiles) and
 plots.  The App is called using eufmdis.adapt::run_adapt().

Package: r-cran-eufootball
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1489
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eufootball_0.0.1-1.ca2004.1_all.deb
Size: 1450200
MD5sum: f06d5ad4732ecd2aa605ac2cb355e73e
SHA1: 9b28643ab9e50d8d05cbab8d3d8e1991d32d79fd
SHA256: 8ccec0a849320d82964c409a1b03693346c7bd8243dd8dcec5d48b94b4567e24
SHA512: 2e4349ddf71b5511ce37940071abd99a8fe2610a7b4d1f1b2c3c4fbdd8fefd57668f2f934530a5bb1a7815d67a5a8941a59630529f59dfc02d19518aa4da2ab1
Homepage: https://cran.r-project.org/package=EUfootball
Description: CRAN Package 'EUfootball' (Football Match Data of European Leagues)
 Contains match results from seven European men's football leagues, namely
 Premier League (England), Ligue 1 (France), Bundesliga (Germany), Serie A
 (Italy), Primera Division (Spain), Eredivisie (The Netherlands), Super Lig
 (Turkey).  Includes Seasons 2010/2011 until 2019/2020 and a set of
 interesting covariates. Can be used all purposes.

Package: r-cran-eulerian
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph
Filename: pool/dists/focal/main/r-cran-eulerian_1.0-1.ca2004.1_all.deb
Size: 28696
MD5sum: 1a601d0c6fd0ea3ad4b247a5a2b31d54
SHA1: 5cd0eff9cfcc295ff33739ad7f254ef31dfb78d6
SHA256: a9b0ddcb880a24571e68786e060cdc339aecaa762149164d76f04edb340109ac
SHA512: e428fe92d308cbd6366c98d80c0a108317178fe5a5adcffb3fd3201ebf314e74f7b58b2ddece00b40bbfc3ba10516251dd414d85cd5ba34b0f54008dde51c228
Homepage: https://cran.r-project.org/package=eulerian
Description: CRAN Package 'eulerian' (eulerian: A package to find eulerian paths from graphs)
 An eulerian path is a path in a graph which visits every edge exactly once.
 This package provides methods to handle eulerian paths or cycles.

Package: r-cran-eunis.habitats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2020
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-eunis.habitats_0.1.0-1.ca2004.1_all.deb
Size: 1743016
MD5sum: 5661ad3ec26f38cd4f0ed0913d499a61
SHA1: 4278c540dcf8195c93855b1901ad4773cd12ef29
SHA256: 3428f0e2e016922c4bed64dfb90f0f80b4c3df7f530b53736d7ee488de8eff54
SHA512: 929086197c3fff504a78135ce61187084a8640df2e70a7cbfb07b51172d6a3ab57d06ba573370bd2da38639de9b675eb4eb83a59f163f45bd8b7cbe9ee0746a4
Homepage: https://cran.r-project.org/package=eunis.habitats
Description: CRAN Package 'eunis.habitats' (EUNIS Habitat Classification)
 The EUNIS habitat classification is a comprehensive pan-European system for
 habitat identification
 <https://www.eea.europa.eu/data-and-maps/data/eunis-habitat-classification-1>.
 This is an R data package providing the EUNIS classification system.  The
 classification is hierarchical and covers all types of habitats from natural
 to artificial, from terrestrial to freshwater and marine. The habitat types
 are identified by specific codes, names and descriptions and come with
 schema crosswalks to other habitat typologies.

Package: r-cran-eunomia
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr, r-cran-rlang, r-cran-rsqlite, r-cran-dbi, r-cran-arrow, r-cran-commondatamodel
Suggests: r-cran-testthat, r-cran-withr, r-cran-duckdb, r-cran-databaseconnector
Filename: pool/dists/focal/main/r-cran-eunomia_2.0.0-1.ca2004.1_all.deb
Size: 45544
MD5sum: d17a59fe5f0c71bbdf0d3f2439710a24
SHA1: 182a1fb4ff60c809fe310e041d5aa93c5c4fc011
SHA256: 5f1be8cdf286e05b497f7ed364ab5b60832be0daa358059ad268de74a94fdc82
SHA512: f44f97907c80c5ff472aa4ca898cf185f4ee0a173f43cae27f5456803d3a07cb0840d4b59c2e257e3b2245d93470f96d7a5a0ee40a9774188b9d707342c45a28
Homepage: https://cran.r-project.org/package=Eunomia
Description: CRAN Package 'Eunomia' (Standard Dataset Manager for Observational Medical OutcomesPartnership Common Data Model Sample Datasets)
 Facilitates access to sample datasets from the 'EunomiaDatasets' repository
 (<https://github.com/ohdsi/EunomiaDatasets>).

Package: r-cran-eurlex
Architecture: all
Version: 0.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-xml2, r-cran-tidyr, r-cran-httr, r-cran-curl, r-cran-rvest, r-cran-rlang, r-cran-stringr, r-cran-pdftools, r-cran-antiword
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidytext, r-cran-wordcloud, r-cran-purrr, r-cran-ggplot2, r-cran-ggiraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eurlex_0.4.8-1.ca2004.1_all.deb
Size: 349260
MD5sum: 9f86ae1c694c26378df0a0a4211ff9e5
SHA1: 787c076ae0872303e458a51ef9656686a8433a74
SHA256: c8d1ff46f61b9463caae5c1c9fa8785919617048b59b8fba059382aad709bc5d
SHA512: bd04746bce95144bf38c2d6b09c30be341166a963508ef2515677f64d8b8abfd5296e10a053ff88ff222d62bd3b8c8dbbbf0866619335f682f15a763919d4c9c
Homepage: https://cran.r-project.org/package=eurlex
Description: CRAN Package 'eurlex' (Retrieve Data on European Union Law)
 Access to data on European Union laws and court decisions made easy with
 pre-defined 'SPARQL' queries and 'GET' requests. See Ovadek (2021)
 <doi:10.1080/2474736X.2020.1870150> .

Package: r-cran-eurocordexr
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1767
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ncdf4, r-cran-ncdf4.helpers, r-cran-rnetcdf, r-cran-fs, r-cran-pcict, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eurocordexr_0.2.5-1.ca2004.1_all.deb
Size: 752776
MD5sum: 99ceee00fd35fcd956e6658a60dd4ea9
SHA1: 910f0c14a71570de4f8e64c4f363f3b88a0c9690
SHA256: 5f5a12cbe1edaf7dc2d7977ad2fb453a6e085ebda04460c8475b382e71bba3af
SHA512: df6cecbe6ec5cbaa01c9bf750504086727c2c41c06117ff7bf92e3063ad1311f659b014fa2fa8a5783788a6000733ca7d68a73a31940315e6748439ef466a218
Homepage: https://cran.r-project.org/package=eurocordexr
Description: CRAN Package 'eurocordexr' (Makes it Easier to Work with Daily 'netCDF' from EURO-CORDEXRCMs)
 Daily 'netCDF' data from e.g. regional climate models (RCMs) are not trivial
 to work with. This package, which relies on 'data.table', makes it easier to
 deal with large data from RCMs, such as from EURO-CORDEX
 (<https://www.euro-cordex.net/>, <https://cordex.org/data-access/>). It has
 functions to extract single grid cells from rotated pole grids as well as
 the whole array in long format. Can handle non-standard calendars (360,
 noleap) and interpolate them to a standard one. Potentially works with many
 CF-conform 'netCDF' files.

Package: r-cran-euroleaguer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-euroleaguer_0.2.0-1.ca2004.1_all.deb
Size: 3232012
MD5sum: 9990da3b60d4ef1d89df1b133ac12aec
SHA1: 974868fa3829d62db8f75bb2c5aefc5e95a07243
SHA256: 74711a60462f6421c7c686369127b11a4efce52ff3dcda3fe49b070caf27ceee
SHA512: 3a97c902905346abb26b2d6e786a7f5dc8b4feb62304340b063ac10f7b877ff09466986bcc3fa3ce4cbd7793a79f7bb531ce89f4010640dd269fb1259aa5ccde
Homepage: https://cran.r-project.org/package=euroleaguer
Description: CRAN Package 'euroleaguer' ('Euroleague basketball API')
 Unofficial API wrapper for 'Euroleague' and 'Eurocup' basketball API
 (<https://www.euroleaguebasketball.net/en/euroleague/>), it allows to
 retrieve real-time and historical standard and advanced statistics about
 competitions, teams, players and games.

Package: r-cran-euronext
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-magrittr, r-cran-stringr, r-cran-jsonlite, r-cran-rlang, r-cran-rvest, r-cran-httr2, r-cran-xts, r-cran-dplyr, r-cran-flextable, r-cran-highcharter
Suggests: r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-euronext_2.0.2-1.ca2004.1_all.deb
Size: 256252
MD5sum: d2e5deacf7edbf5c12318f0561b1c800
SHA1: 54193ccf9567c225fa0de368be611033776555b6
SHA256: b65cf934e2168112ee09f55bedb770355597d41a6a752a4ac576c3434e8467a0
SHA512: 9d0d09ede80de03f18271fcc9a447d68f068ca07f1003f42314c82090f926491be850e515817d2eacc645ad57b49ba97e37672cf8a9ae952f8677eb508ab32cb
Homepage: https://cran.r-project.org/package=Euronext
Description: CRAN Package 'Euronext' (Retrieve Historical Data of Companies Listed on the 'Euronext'Stock Exchange)
 Provides seamless access to historical data of companies listed on the
 'Euronext' Stock Exchange (<https://live.euronext.com/en>), enabling users
 to retrieve real-time information directly within the R environment. With
 functions tailored for data retrieval and manipulation, users can
 effortlessly access a wide range of financial data, including stock prices,
 trading volumes, and more. Leveraging the power of R, this package
 facilitates efficient analysis and visualization of stock market trends,
 aiding investors, analysts, and researchers in making informed decisions. By
 combining ease of use with comprehensive data access, 'Euronext' empowers R
 users to delve deep into the dynamics of European financial markets,
 offering valuable insights for various financial applications.

Package: r-cran-europeanar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-rdpack
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-europeanar_0.1.0-1.ca2004.1_all.deb
Size: 52588
MD5sum: ad3330a07362ae694c0304e1a045dd9c
SHA1: 288976e86d3407cf3f3b64e2d3dbc21c8cabff51
SHA256: f72cf898ae2dd2f9cd6f08054781899de3d3f3cfad3edc196cdb2a33fa34a34b
SHA512: 1b76d8c9a07f05b5028e49c2f7094ea5d6071ed3fe850ebf0c38a9616d84aa4069119189b51a799ae92d50d0b8b6e9c25fcb88686711eb20dd5bff6454415a1e
Homepage: https://cran.r-project.org/package=europeanaR
Description: CRAN Package 'europeanaR' (Interact with Metadata Records and Media on the EuropeanaRepository)
 Interact with the Europeana Data Model via a variety of API endpoints that
 contains digital collections from thousands of institutions around Europe.
 This translates to millions of Cultural Heritage Objects in the form of
 image, text, video, sound and 3D, accompanied by rich metadata. The Data
 Model design principles are based on the core principles and best practices
 of the Semantic Web and Linked Data efforts to which Europeana contributes
 (see, e.g., Doerr, Martin, et al. The europeana data model (edm).  World
 Library and Information Congress: 76th IFLA general conference and assembly.
 Vol. 10. 2010.). The package also provides methods for bulk downloads of
 specific subsets of items, including both their metadata and their
 associated media files.

Package: r-cran-europepmc
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 785
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-plyr, r-cran-dplyr, r-cran-progress, r-cran-urltools, r-cran-purrr, r-cran-xml2, r-cran-tibble, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-europepmc_0.4.3-1.ca2004.1_all.deb
Size: 422832
MD5sum: fe3906d826c76ec5aa5fb9bc434d3009
SHA1: fe7db1e7ee79d1a93051814335e96c0a09a0c6af
SHA256: a983c94ad68eda2d19104304a464bf2ea9e950e6006c6dbacc5b478b5a0361fb
SHA512: 0536d0a3ad9565548dbe5214cc3ff73c0e509fd226d3ded15cbee3d5bffdcaf9043b2af42c1a2d66d64eeb54b01c069e040d8aee45ea01fda03c37a6b51ded1f
Homepage: https://cran.r-project.org/package=europepmc
Description: CRAN Package 'europepmc' (R Interface to the Europe PubMed Central RESTful Web Service)
 An R Client for the Europe PubMed Central RESTful Web Service (see
 <https://europepmc.org/RestfulWebService> for more information). It gives
 access to both metadata on life science literature and open access full
 texts. Europe PMC indexes all PubMed content and other literature sources
 including Agricola, a bibliographic database of citations to the
 agricultural literature, or Biological Patents. In addition to bibliographic
 metadata, the client allows users to fetch citations and reference lists.
 Links between life-science literature and other EBI databases, including
 ENA, PDB or ChEMBL are also accessible. No registration or API key is
 required. See the vignettes for usage examples.

Package: r-cran-europop
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-readr
Filename: pool/dists/focal/main/r-cran-europop_0.3.1-1.ca2004.1_all.deb
Size: 26668
MD5sum: 07eb9f2a610f4cabe09fcf2a63b7859a
SHA1: 700bc42746349adcf404b59870713fafbda6fc18
SHA256: 59e90f6b707888fac6e3b2065939b5e47d46729db85f7a34f221ffcb584228f2
SHA512: 16b94c684056c888bfe0173610291757a751064ea24f94e0ba946ef13facdb156b20e186e8f99d331d2ee05ce0c7259b8556696cdc593400bb4dd36d66a3b82f
Homepage: https://cran.r-project.org/package=europop
Description: CRAN Package 'europop' (Historical Populations of European Cities, 1500-1800)
 This dataset contains population estimates of all European cities with at
 least 10,000 inhabitants during the period 1500-1800. These data are adapted
 from Jan De Vries, "European Urbanization, 1500-1800" (1984).

Package: r-cran-eurosarcbayes
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 876
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-vgam, r-cran-data.table, r-cran-plyr, r-cran-clinfun
Filename: pool/dists/focal/main/r-cran-eurosarcbayes_1.1-1.ca2004.1_all.deb
Size: 354224
MD5sum: 7a5c9b7610b472eb042f9c64a8d7edd9
SHA1: bb4d7507b70ad0459413467743be0442bd00cf3a
SHA256: 3fc39858535f88505cbcd24634bd2993d6c9de82c43d2bfade06b2471768ad1a
SHA512: 321dca8f6b53be53c754ce578576379e7227a8ddeb7566b3df238827652ac49d3fc0529f90fc1aa59b9500754862e740a5c5ed305d2da066685c36abbaf35367
Homepage: https://cran.r-project.org/package=EurosarcBayes
Description: CRAN Package 'EurosarcBayes' (Bayesian Single Arm Sample Size Calculation Software)
 Bayesian sample size calculation software and examples for EuroSARC clinical
 trials which utilise Bayesian methodology. These trials rely on binomial
 based endpoints so the majority of programs found here relate to this sort
 of endpoint. Developed as part of the EuroSARC FP7 grant.

Package: r-cran-eurostat
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-classint, r-cran-countrycode, r-cran-curl, r-cran-digest, r-cran-dplyr, r-cran-httr2, r-cran-isoweek, r-cran-jsonlite, r-cran-lubridate, r-cran-rappdirs, r-cran-readr, r-cran-refmanager, r-cran-regions, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2, r-cran-data.table
Suggests: r-cran-giscor, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eurostat_4.0.0-1.ca2004.1_all.deb
Size: 559788
MD5sum: d2d35d27c932785af1c5babe6968014e
SHA1: 47f3a524ba29f56be700bc02bc5475ce757ce2a9
SHA256: f33aa119f005885a5ce1cf30d0647f092ed93d73e5e9822070fd58845ed960e5
SHA512: 34141217bb46a1f265019ce0b9be85dee7ef455f693bd3952e86b110d0d246d454b1f7b271847aa900aa2a147f25d01d5708b804beb392d7e28edcfe42be2dc7
Homepage: https://cran.r-project.org/package=eurostat
Description: CRAN Package 'eurostat' (Tools for Eurostat Open Data)
 Tools to download data from the Eurostat database
 <https://ec.europa.eu/eurostat> together with search and manipulation
 utilities.

Package: r-cran-eva3dm
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3899
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-ncdf4
Suggests: r-cran-knitr, r-cran-riem, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eva3dm_1.11-1.ca2004.1_all.deb
Size: 2225748
MD5sum: feefcbcf0c61db66d1d615e609099542
SHA1: e4a71ca4ea94b6e302588c6180bc8ba82795c17c
SHA256: d16c52dc88b00415f2dd722bd75deda0c9cc9fcb2051d73c4c1d4007117be6b0
SHA512: 8b4fa7605226758b7397535f18a9f3561d75c42e91b30d3e14a1069dcde85571f0351b4472500c9a38b805329bc1e563a97bbfa11f4052e79572fef7ed46479b
Homepage: https://cran.r-project.org/package=eva3dm
Description: CRAN Package 'eva3dm' (Evaluation of 3D Meteorological and Air Quality Models)
 Provides tools for post-process, evaluate and visualize results from 3d
 Meteorological and Air Quality models against point observations (i.e.
 surface stations) and grid (i.e. satellite) observations.

Package: r-cran-eva
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2756
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-envstats
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-spatialextremes
Filename: pool/dists/focal/main/r-cran-eva_0.2.6-1.ca2004.1_all.deb
Size: 2262992
MD5sum: 410246a5e4cd3cbcc0508346d6ad3907
SHA1: 4fb0d06df988c01f312e7060533e50782470bc11
SHA256: 741e6faa42935000d32fa652d3fc31bddbf4b7ac92663f41b2c30b817a354cf0
SHA512: 7b3b64a660d565ff9d5a500825495cef6a3b33786a0bbb73ca8b45d3dfeb3f807f1ee07a3dc462e6c914d40be555338d71c81810fcf01adfe508f03c78890948
Homepage: https://cran.r-project.org/package=eva
Description: CRAN Package 'eva' (Extreme Value Analysis with Goodness-of-Fit Testing)
 Goodness-of-fit tests for selection of r in the r-largest order statistics
 (GEVr) model. Goodness-of-fit tests for threshold selection in the
 Generalized Pareto distribution (GPD). Random number generation and density
 functions for the GEVr distribution. Profile likelihood for return level
 estimation using the GEVr and Generalized Pareto distributions. P-value
 adjustments for sequential, multiple testing error control. Non-stationary
 fitting of GEVr and GPD.  Bader, B., Yan, J. & Zhang, X. (2016)
 <doi:10.1007/s11222-016-9697-3>.  Bader, B., Yan, J. & Zhang, X. (2018)
 <doi:10.1214/17-AOAS1092>.

Package: r-cran-evabic
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evabic_0.1.1-1.ca2004.1_all.deb
Size: 145280
MD5sum: 884e3301370f169c0cf49b786a872edb
SHA1: bc623e8115d36c7343cc1788ae579901683123c0
SHA256: 43bc04da946aa16b67ee22f0b7cf873044e0d00a0d6875652e6ad7e985cfda8f
SHA512: 253cc555a3fd1bb968c20e6b26234b1cd64172f577de079a3d6d11b962dd765ccac06372e1452f25386e7bcdaeb4dbd2a8d3d48c5c8fec1c3954665281718bcb
Homepage: https://cran.r-project.org/package=evabic
Description: CRAN Package 'evabic' (Evaluation of Binary Classifiers)
 Evaluates the performance of binary classifiers.  Computes confusion
 measures (TP, TN, FP, FN), derived measures (TPR, FDR, accuracy, F1, DOR,
 ..), and area under the curve.  Outputs are well suited for nested
 dataframes.

Package: r-cran-evacluster
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mlbench, r-cran-emcluster, r-cran-inaparc, r-cran-ppclust, r-cran-fresa.cad, r-cran-mass, r-cran-class, r-cran-nmf, r-cran-cluster, r-cran-rtsne, r-cran-proxy, r-cran-uwot, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-evacluster_0.1.0-1.ca2004.1_all.deb
Size: 66552
MD5sum: c907b95df12a323979b32956af9b60b6
SHA1: 235b3771645b3aed6035a5d5127338ddcea5e8bb
SHA256: 9aca637a912f846c66ee5aa5f50b2149f275d0ea0a6f513f86503f75f997b040
SHA512: 5c2bd68dc42755d66bfc73db1af9ef6215371459c5766c5535d5c76427c7c6e0d079e1cc13e648e6d1ef339d1e7098ff31e0aa8286d2ae041b12a9ccf135b415
Homepage: https://cran.r-project.org/package=Evacluster
Description: CRAN Package 'Evacluster' (Evaluation Clustering Methods for Disease Subtypes Diagnosis)
 Contains a set of clustering methods and evaluation metrics to select the
 best number of the clusters based on clustering stability. Two references
 describe the methodology: Fahimeh Nezhadmoghadam, and Jose Tamez-Pena
 (2021)<doi:10.1016/j.compbiomed.2021.104753>, and Fahimeh Nezhadmoghadam, et
 al.(2021)<doi:10.2174/1567205018666210831145825>.

Package: r-cran-evalest
Architecture: all
Version: 2024.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tfplot, r-cran-dse, r-cran-setrng, r-cran-tframe
Filename: pool/dists/focal/main/r-cran-evalest_2024.2-1-1.ca2004.1_all.deb
Size: 219288
MD5sum: 59b247e2f843a9e4b515e3363a02b280
SHA1: c320af55ebdd89a1f1b77149d3eb2294e95fcebf
SHA256: e67258ce6498cdfe9536a0e99c13c0eb7a51a063fac7c4efe03340f3ae3b8457
SHA512: c905ed50fc702ad8a4321ce447f8ef6162fabcb58a19d8f18f09d995e9556e0c76645c4d975979324094476a11042964816c67e6de126c150c88560933094e21
Homepage: https://cran.r-project.org/package=EvalEst
Description: CRAN Package 'EvalEst' (Dynamic Systems Estimation - Extensions)
 Provides functions for evaluating (time series) model estimation methods.
 These facilitate Monte Carlo experiments of repeated simulations and
 estimations. Also provides methods for looking at the distribution of the
 results from these experiments, including model roots (which are an
 equivalence class invariant).

Package: r-cran-evalitr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1471
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-matrix, r-cran-quadprog, r-cran-caret, r-cran-cli, r-cran-e1071, r-cran-forcats, r-cran-gbm, r-cran-ggdist, r-cran-ggplot2, r-cran-ggthemes, r-cran-glmnet, r-cran-grf, r-cran-haven, r-cran-purrr, r-cran-rlang, r-cran-rpart, r-cran-rqpen, r-cran-scales, r-cran-bartcause, r-cran-superlearner
Suggests: r-cran-doparallel, r-cran-furrr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-bartmachine, r-cran-elasticnet, r-cran-randomforest, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-evalitr_1.0.0-1.ca2004.1_all.deb
Size: 1103960
MD5sum: 8429e04cb22acd6deed432f823e7444d
SHA1: 781f1f22eac0897ce88db66824b26efe07a90d1b
SHA256: 10ad4e8d11ff5a568cd18a2729d7848fd56298995e9c34e5577e273deed065ff
SHA512: 73ddf9500b595845b301edfdea8f31bed627ae56877aec60f2588a13fb9f8d41d0dea14cda8db4913c52bcad7b27fe7bf2278758bb6e2724c38bbc85661027fb
Homepage: https://cran.r-project.org/package=evalITR
Description: CRAN Package 'evalITR' (Evaluating Individualized Treatment Rules)
 Provides various statistical methods for evaluating Individualized Treatment
 Rules under randomized data. The provided metrics include Population Average
 Value (PAV), Population Average Prescription Effect (PAPE), Area Under
 Prescription Effect Curve (AUPEC). It also provides the tools to analyze
 Individualized Treatment Rules under budget constraints. Detailed reference
 in Imai and Li (2019) <arXiv:1905.05389>.

Package: r-cran-evaluate
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-callr, r-cran-covr, r-cran-ggplot2, r-cran-lattice, r-cran-pkgload, r-cran-ragg, r-cran-rlang, r-cran-knitr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-evaluate_1.0.4-1.ca2004.1_all.deb
Size: 100520
MD5sum: 81143825d1fade9e6c7840d3c6833e0a
SHA1: 955c0e7f73d38394105d404ab7d59f0c3f816386
SHA256: 406bc0fa80f7de78d8f183d2a949f627016f63c9b9a62d4b81ba1bbd716e4ae1
SHA512: 10cc33cf1f3174cf4f1807fc5e3bac0707228604e2248ea88e2852b45dd611abbe27661cff8b81980c2c8c94345384ae0b674dead84eaeec39e54e191f0dfbaf
Homepage: https://cran.r-project.org/package=evaluate
Description: CRAN Package 'evaluate' (Parsing and Evaluation Tools that Provide More Details than theDefault)
 Parsing and evaluation tools that make it easy to recreate the command line
 behaviour of R.

Package: r-cran-evaluatecore
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-agricolae, r-cran-boot, r-cran-car, r-cran-cluster, r-cran-dplyr, r-cran-entropy, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-gridextra, r-cran-ksamples, r-cran-mathjaxr, r-cran-psych, r-cran-reshape2, r-cran-rdpack, r-cran-vegan
Suggests: r-cran-corehunter, r-cran-pander, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-evaluatecore_0.1.3-1.ca2004.1_all.deb
Size: 338408
MD5sum: 922d80bb1dad108ca388fe27ad3042b0
SHA1: e6084f78125383c35abf8d31760bde6503e40ff7
SHA256: 61c1d49aad306da8039a0ee47b6933c38e4afa0a7d58e64b91dffd1092a8bc2c
SHA512: 3de744964715df80135c619cca2084484c559b6f9f83295afa4081bbca3eb4d1a1af47679abf05f16a76569cc663ec3e6670592b3557cd7b4e4fd65c2cb82da3
Homepage: https://cran.r-project.org/package=EvaluateCore
Description: CRAN Package 'EvaluateCore' (Quality Evaluation of Core Collections)
 Implements various quality evaluation statistics to assess the value of
 plant germplasm core collections using qualitative and quantitative
 phenotypic trait data according to Odong et al. (2015)
 <doi:10.1007/s00122-012-1971-y>.

Package: r-cran-evaluationmeasures
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-evaluationmeasures_1.1.0-1.ca2004.1_all.deb
Size: 56192
MD5sum: 4355e452062fc5dca96a37ce88bb14a3
SHA1: be2927990ff3f1f55526c90ce6313e1ba7327706
SHA256: 50dad0464ba832c729b680fa7b12e5c99824dcb8e9398632ba77c0ff0a67a3fa
SHA512: 52edf800c15a5ed34186942670bb3d34d28a1e7131d731d33a2bdceb1524a76556627701f81ab0c76ba59feda9cf6bf7a313d196f4b31dfe7c61743af5fedf7f
Homepage: https://cran.r-project.org/package=EvaluationMeasures
Description: CRAN Package 'EvaluationMeasures' (Collection of Model Evaluation Measure Functions)
 Provides Some of the most important evaluation measures for evaluating a
 model. Just by giving the real and predicted class, measures such as
 accuracy, sensitivity, specificity, ppv, npv, fmeasure, mcc and ... will be
 returned.

Package: r-cran-evalue
Architecture: all
Version: 4.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-metafor, r-cran-metadat, r-cran-boot, r-cran-metautility, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-evalue_4.1.3-1.ca2004.1_all.deb
Size: 831828
MD5sum: 12b604776ab208d0e9b05cbdf961dc7f
SHA1: ba3506361373e927202bbe3f3081cb8319de07f5
SHA256: 71aaeb464a76be9aa5d1470545bc3b682714cb2a10a823e795a5cbc12137e815
SHA512: 3fe97bb6760cee168b4632494e27bbf376598cbc4ec2d47fcc9b4335e7533d784140878fe795bd195ee98dbfc249316ac25c3fa52ca5af834e91771edcae3fab
Homepage: https://cran.r-project.org/package=EValue
Description: CRAN Package 'EValue' (Sensitivity Analyses for Unmeasured Confounding and Other Biasesin Observational Studies and Meta-Analyses)
 Conducts sensitivity analyses for unmeasured confounding, selection bias,
 and measurement error (individually or in combination; VanderWeele & Ding
 (2017) <doi:10.7326/M16-2607>; Smith & VanderWeele (2019)
 <doi:10.1097/EDE.0000000000001032>; VanderWeele & Li (2019)
 <doi:10.1093/aje/kwz133>; Smith & VanderWeele (2021) <arXiv:2005.02908>).
 Also conducts sensitivity analyses for unmeasured confounding in
 meta-analyses (Mathur & VanderWeele (2020a)
 <doi:10.1080/01621459.2018.1529598>; Mathur & VanderWeele (2020b)
 <doi:10.1097/EDE.0000000000001180>) and for additive measures of effect
 modification (Mathur et al., under review).

Package: r-cran-evapore
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3489
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-lubridate, r-cran-raster, r-cran-twc
Suggests: r-cran-rmarkdown, r-cran-ggpubr, r-cran-knitr, r-cran-spelling, r-cran-kableextra, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evapore_1.0.1-1.ca2004.1_all.deb
Size: 2457736
MD5sum: 34fca9c5d56e0bfbe3d032c5137da143
SHA1: f483f6f0d588516336b988d7af2a49cb561eb2d1
SHA256: 8e09832ec9c01f986214c055441e91d4d80e8775d77c90d41df40289332b1789
SHA512: e27688d02d4afea85402af5353d17e2510ac107435591aa7fd87455f98b4e3083c8523bc2865b7a96f3a1ca7b87f38cf11338d6045f724a704858109219728a6
Homepage: https://cran.r-project.org/package=evapoRe
Description: CRAN Package 'evapoRe' (Evapotranspiration R Recipes)
 An R-based application for exploratory data analysis of global
 EvapoTranspiration (ET) datasets.  'evapoRe' enables users to download,
 validate, visualize, and analyze multi-source ET data across various
 spatio-temporal scales.  Also, the package offers calculation methods for
 estimating potential ET (PET), including temperature-based, combined type,
 and radiation-based approaches described in : Oudin et al., (2005)
 <doi:10.1016/j.jhydrol.2004.08.026>.  'evapoRe' supports hydrological
 modeling, climate studies, agricultural research, and other data-driven
 fields by facilitating access to ET data and offering powerful analysis
 capabilities.  Users can seamlessly integrate the package into their
 research applications and explore diverse ET data at different resolutions.

Package: r-cran-evapotranspiration
Architecture: all
Version: 1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-evapotranspiration_1.16-1.ca2004.1_all.deb
Size: 583952
MD5sum: f691f99502686d59b4e94ff67a7a7411
SHA1: c1289395847c3589de02adc851d5b92d87d0f26b
SHA256: 9bdfc0351c6f7f31cb0a011dd907b5936a9030f868eb039c596cf2f8390c3caf
SHA512: 1344c3f57b786d7ccabdf81012219d60cfa9607f8e7582b74cdfcadb62e7a0491a0c0fa74d6fdaf00749f440205943f4a592d720a2c03cea3f81ede5540b8bc1
Homepage: https://cran.r-project.org/package=Evapotranspiration
Description: CRAN Package 'Evapotranspiration' (Modelling Actual, Potential and Reference CropEvapotranspiration)
 Uses data and constants to calculate potential evapotranspiration (PET) and
 actual evapotranspiration (AET) from 21 different formulations including
 Penman, Penman-Monteith FAO 56, Priestley-Taylor and Morton formulations.

Package: r-cran-evchargcost
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-evchargcost_0.1.0-1.ca2004.1_all.deb
Size: 23068
MD5sum: 6b2e599556174ea2ec78c5a8cfeff840
SHA1: 5ba3bb6fa6d16d46eeb6e1bdbfc7ee18f80967c4
SHA256: cb91446eb65ba9a1bead4671fa99602fb2fc478c524f2370300bd850c2b75030
SHA512: f280dbbafdce14ac36248470d78a3145ff19b05d164909dc5d44062cd7623398c314d033e1f9bb2bf4e415ce7f1908a50c35a6a6322fec7eac3677711f53a308
Homepage: https://cran.r-project.org/package=EVchargcost
Description: CRAN Package 'EVchargcost' (Computes and Plot the Optimal Charging Strategy for ElectricVehicles)
 The purpose of this library is to compute the optimal charging cost function
 for a electric vehicle (EV). It is well known that the charging function of
 a EV is a concave function that can be approximated by a piece-wise linear
 function, so bigger the state of charge, slower the charging process is.
 Moreover, the other important function is the one that gives the electricity
 price. This function is usually step-wise, since depending on the time of
 the day, the price of the electricity is different. Then, the problem of
 charging an EV to a certain state of charge is not trivial. This library
 implements an algorithm to compute the optimal charging cost function, that
 is, it plots for a given state of charge r (between 0 and 1) the minimum
 cost we need to pay in order to charge the EV to that state of charge r. The
 details of the algorithm are described in González-Rodríguez et at (2023)
 <https://inria.hal.science/hal-04362876v1>.

Package: r-cran-evclass
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fnn, r-cran-ibelief, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-evclass_2.0.2-1.ca2004.1_all.deb
Size: 318700
MD5sum: 89493065cfa46feb3b5b3fd75c6156c9
SHA1: 215883097712359616c59c21187ccf5bc255d37c
SHA256: 6ab6c2cade204feb4d4f873507413615ef0f8601f6628db1e8bce599e581d0d7
SHA512: 03046751498fb6efcb9589b4ab74cc27cad3d517895c4f104c02f9485efaad93c9cd1046b8bccd69791aec9230290a3e2b08250c3df1785e2124dbe5d049baac
Homepage: https://cran.r-project.org/package=evclass
Description: CRAN Package 'evclass' (Evidential Distance-Based Classification)
 Different evidential classifiers, which provide outputs in the form of
 Dempster-Shafer mass functions. The methods are: the evidential K-nearest
 neighbor rule, the evidential neural network, radial basis function neural
 networks, logistic regression, feed-forward neural networks.

Package: r-cran-evclust
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fnn, r-cran-r.utils, r-cran-limsolve, r-cran-matrix, r-cran-mclust, r-cran-quadprog, r-cran-plyr
Suggests: r-cran-kernlab, r-cran-mass
Filename: pool/dists/focal/main/r-cran-evclust_2.0.3-1.ca2004.1_all.deb
Size: 2962008
MD5sum: 654a83a172c91deaf545a1530bf5e1bf
SHA1: c149249a75d66cd0df60d8cb3c77a9248a883f21
SHA256: 4b89c311070483f141a9125861dc3d06de7a4f10c54998069fd24a88e4e147bb
SHA512: 728d3a976041353e44982169349f7adf05f29e3027c9bbdcbdf85083a54a2e63a6e5329b987fac8c2f90ed75e0a3c98693bd2813c75c847e2e1ac8d27b8b0a69
Homepage: https://cran.r-project.org/package=evclust
Description: CRAN Package 'evclust' (Evidential Clustering)
 Various clustering algorithms that produce a credal partition, i.e., a set
 of Dempster-Shafer mass functions representing the membership of objects to
 clusters. The mass functions quantify the cluster-membership uncertainty of
 the objects. The algorithms are: Evidential c-Means, Relational Evidential
 c-Means, Constrained Evidential c-Means, Evidential Clustering, Constrained
 Evidential Clustering, Evidential K-nearest-neighbor-based Clustering,
 Bootstrap Model-Based Evidential Clustering, Belief Peak Evidential
 Clustering, Neural-Network-based Evidential Clustering.

Package: r-cran-evcombr
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-evcombr_0.1-4-1.ca2004.1_all.deb
Size: 131028
MD5sum: 124f00eb983c80ba61134932e88a411d
SHA1: df99e4326ecbf07d10c83a7a743e0cd6921eaaf9
SHA256: e284fd4352a57a497d6e865639d6fab7b112d4186661b04b539dd1d403a596d9
SHA512: 3a707728606f27da4d30dd67722017d4a40f906ea379260ea3d2da639a6aa8100fb3336973608a70d118f2ce0f7bb40471c2e4932de02e44998a625dab847498
Homepage: https://cran.r-project.org/package=EvCombR
Description: CRAN Package 'EvCombR' (Evidence Combination in R)
 Combine pieces of evidence in the form of uncertainty representations.

Package: r-cran-evenbreak
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-combinat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evenbreak_1.0-1.ca2004.1_all.deb
Size: 268932
MD5sum: 60a6bb666e7effb793ee1681a63f23f5
SHA1: 5106e0c6b40fa89d6dfdce414b41e7bfd6e9a6cd
SHA256: 3d6de6a93d0cc55714064f0ff4187d95b4c64ca361e210482114a9e2f68ea9f6
SHA512: 4d8e46f9828c8d05d28a633d969ab91d6d5942ef69be9554bc7340ab6748c4272fa18f6d4b9a32da6bff93c4d25caea937b5fcd08bdfd4cb989fb18fb00fbbc4
Homepage: https://cran.r-project.org/package=evenBreak
Description: CRAN Package 'evenBreak' (A Posteriori Probs of Suits Breaking Evenly Across Four Hands)
 We quantitatively evaluated the assertion that says if one suit is found to
 be evenly distributed among the 4 players, the rest of the suits are more
 likely to be evenly distributed. Our mathematical analyses show that, if one
 suit is found to be evenly distributed, then a second suit has a slightly
 elevated probability (ranging between 10% to 15%) of being evenly
 distributed. If two suits are found to be evenly distributed, then a third
 suit has a substantially elevated probability (ranging between 30% to 50%)
 of being evenly distributed.This package refers to methods and authentic
 data from Ely Culbertson <https://www.bridgebum.com/law_of_symmetry.php>,
 Gregory Stoll <https://gregstoll.com/~gregstoll/bridge/math.html>, and
 details of performing the probability calculations from Jeremy L. Martin
 <https://jlmartin.ku.edu/~jlmartin/bridge/basics.pdf>, Emile Borel and Andre
 Cheron (1954) "The Mathematical Theory of Bridge",Antonio Vivaldi and Gianni
 Barracho (2001, ISBN:0 7134 8663 5) "Probabilities and Alternatives in
 Bridge", Ken Monzingo (2005) "Hand and Suit Patterns"
 <http://web2.acbl.org/documentlibrary/teachers/celebritylessons/handpatternsrevised.pdf>Ken
 Monzingo (2005) "Hand and Suit Patterns"
 <http://web2.acbl.org/documentlibrary/teachers/celebritylessons/handpatternsrevised.pdf>.

Package: r-cran-eventdatar
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2642
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eventdatar_0.3.1-1.ca2004.1_all.deb
Size: 1341348
MD5sum: d42b2e0957c242fc4441933870f8d600
SHA1: a2e1fbe510cc52948d39447be2e7b1aae138ed8d
SHA256: d5b444423a86b7069985b609446ad9a087f21ffba337153ba7b9602e181933ba
SHA512: 9f27833d3fa36d19e7230ac2efa9617c989790b98a06e5e7193570ed6f21a67fb18e25c9a3ecd48fad99fd328da55299e9f6c02d180738f2836c019b0519652a
Homepage: https://cran.r-project.org/package=eventdataR
Description: CRAN Package 'eventdataR' (Event Data Repository)
 Event dataset repository including both real-life and artificial event logs.
 They can be used in combination with functionalities provided by the 'bupaR'
 packages. Janssenswillen et al. (2020)
 <http://ceur-ws.org/Vol-2703/paperTD7.pdf>.

Package: r-cran-eventdetectgui
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2875
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-eventdetectr, r-cran-shinybs, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-xml, r-cran-plotly, r-cran-dt, r-cran-ggplot2
Suggests: r-cran-roxygen2, r-cran-shinytest, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-eventdetectgui_0.3.0-1.ca2004.1_all.deb
Size: 1437604
MD5sum: 73829fdcf6861eb7c071bac6bd81044f
SHA1: dd15e716861e90758bc31340b3cb78ce7919a990
SHA256: 0ac5a07f38865e8406160886078abd236d1c3b9785ca06098b9fc0c6260e83f3
SHA512: 6d37b907d6f7db713010baa83c6b167ed4fc58b5af72efbef53d380bcf83f3ee7daaa5f884a0cabb85f584940834329628b32eea4be6ad3b77984506b89923e0
Homepage: https://cran.r-project.org/package=EventDetectGUI
Description: CRAN Package 'EventDetectGUI' (Graphical User Interface for the 'EventDetectR' Package)
 A graphical user interface for open source event detection.

Package: r-cran-eventdetectr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2382
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imputets, r-cran-forecast, r-cran-ggplot2, r-cran-gridextra, r-cran-neuralnet
Suggests: r-cran-testthat, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-eventdetectr_0.3.5-1.ca2004.1_all.deb
Size: 1425212
MD5sum: 2e8efa868fc17cb9aec5f79e4ceefb08
SHA1: f2a1b589c6a2050da788f391b8b1f6fad43f232f
SHA256: 9b8b6ed3c18d2160468fd2dee6498d9b9f1a38ea3442285b614c39b9b295d3df
SHA512: f008ee08c80155efce7a97e57fc87c6a605247123db38a1bc6739ba9070a6d8137b1863e05ef8100c63ab8ce9cddf266b549857009fbb008686a03b37dfefdb5
Homepage: https://cran.r-project.org/package=EventDetectR
Description: CRAN Package 'EventDetectR' (Event Detection Framework)
 Detect events in time-series data. Combines multiple well-known R packages
 like 'forecast' and 'neuralnet' to deliver an easily configurable tool for
 multivariate event detection.

Package: r-cran-eventinterval
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-eventinterval_1.3-1.ca2004.1_all.deb
Size: 36888
MD5sum: a92d3fdeb0310798b5de236905b4107f
SHA1: 1b5d841d4274c865ad62f6a609ca93165718d06c
SHA256: 971ae56110e10f02885c04fd063e5d90234a58dd924cb4a66ee17e0136941b02
SHA512: ded22a925d2ce9fbc92cfaf7a709b7134786e033ad5747861c1aa360d96e44abd3ce0ca69be33534ba254db2ba7ae533a5e99945d0d2c23e6b92f5e71563a553
Homepage: https://cran.r-project.org/package=eventInterval
Description: CRAN Package 'eventInterval' (Sequential Event Interval Analysis)
 Functions for analysis of rate changes in sequential events.

Package: r-cran-eventpred
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ggplot2, r-cran-plotly, r-cran-survival, r-cran-matrix, r-cran-mvtnorm, r-cran-rstpm2, r-cran-numderiv, r-cran-purrr, r-cran-flexsurv, r-cran-erify, r-cran-shiny, r-cran-rlang, r-cran-lrstat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eventpred_0.2.9-1.ca2004.1_all.deb
Size: 651952
MD5sum: b27eab9e169e2ae72f67a9ab73588822
SHA1: 58db910901758d63098f0a499c49fda504d3f4bd
SHA256: 4538ca61fb11e60720ee782757acba26bdf532ce27e77293958c6641b843eabe
SHA512: 47a28f866ecf8a35ec4e87deb171fca5e544930db6d8b625d1dc764eca87f0a362447a1dbd6cc376b3277882561c586f250d19f8ba3148592d4f7f41398d5725
Homepage: https://cran.r-project.org/package=eventPred
Description: CRAN Package 'eventPred' (Event Prediction)
 Predicts enrollment and events at the design or analysis stage using
 specified enrollment and time-to-event models through simulations.

Package: r-cran-eventpredincure
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-perm, r-cran-msm, r-cran-mlecens, r-cran-kmsurv, r-cran-dplyr, r-cran-rlang, r-cran-plotly, r-cran-survival, r-cran-matrix, r-cran-mvtnorm, r-cran-rstpm2, r-cran-numderiv, r-cran-tmvtnsim, r-cran-erify, r-cran-lubridate, r-cran-flexsurv, r-cran-mass
Filename: pool/dists/focal/main/r-cran-eventpredincure_1.0-1.ca2004.1_all.deb
Size: 367300
MD5sum: 2e925e9432a0ba7b2fecfee0d1fea113
SHA1: beca8c66f6dde644399fb8c591828a204b7f25c0
SHA256: cf1186073747d9194dc92d75898691a85c29b21cf4838d535af90650a1d24353
SHA512: 46a52a8a6e444124e53c069f1017de43ea085d5eb9ea0ac838cb7ea3f9f79ff22b1b8b488b6cdcad2453ca89a47432e1a2c923743504581f032127723187c6a8
Homepage: https://cran.r-project.org/package=EventPredInCure
Description: CRAN Package 'EventPredInCure' (Event Prediction Including Cured Population)
 Predicts enrollment and events assumed enrollment and treatment-specific
 time-to-event models, and calculates test statistics for time-to-event data
 with cured population based on the simulation.Methods for prediction event
 in the existence of cured population are as described in : Chen,
 Tai-Tsang(2016) <doi:10.1186/s12874-016-0117-3>.

Package: r-cran-eventr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eventr_1.0.0-1.ca2004.1_all.deb
Size: 60732
MD5sum: 7fdc3dedbd487a99eeefe46e3ee59415
SHA1: 88d478bede5e1cf9788eb886606b1ae56877e5d9
SHA256: 4d044d1b211899b2b4097874c3b16b10900618a7a1153e8f96d1ed7b688d55e1
SHA512: db4aff4e34cca5256215b00a9baa56a06f58cc4b75fa5a02879a4e10d6bd98e21b2588d030346f80d00943c4a5e971839a912b66bfffb5489dbe1e1296a2137f
Homepage: https://cran.r-project.org/package=eventr
Description: CRAN Package 'eventr' (Create Event Based Data Architectures)
 Event-driven programming is a programming paradigm where the flow of
 execution is defined by event.  In this paradigm an event can be defined as
 "a change in the state" of an object. This package offers a set of functions
 for creating event-based architectures using three basic functions: events,
 dispatchers, and handlers. The handlers manage the events, the dispatchers
 are in charge of redirecting the events to each of the handlers, finally the
 events are the objects that carry the information about the change of state.

Package: r-cran-eventstream
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4555
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-abind, r-cran-tensora, r-cran-glmnet, r-cran-dbscan, r-cran-mass, r-cran-changepoint, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eventstream_0.1.1-1.ca2004.1_all.deb
Size: 4541932
MD5sum: a194a0e880c736e2d35823555948abdb
SHA1: ebfd39946f91223a0e02fcc05895c3a274eeea28
SHA256: 16655ceb97bbe826a8a1e33bf0106528a7f7f5a556bbee61907cd95f7e9a9bc0
SHA512: 8b817ddaf2e5ae6ceddb4d2c8addbccbe58d79b177c5e2f8a01bf117e6cd07c87e8d7c2c8a860dd47b6bfde17a3223bb3b9568736ff81c13119eb804c4a9e73d
Homepage: https://cran.r-project.org/package=eventstream
Description: CRAN Package 'eventstream' (Streaming Events and their Early Classification)
 Implements event extraction and early classification of events in data
 streams in R.  It has the functionality to generate 2-dimensional data
 streams with events belonging to 2 classes. These events can be extracted
 and features computed. The event features extracted from incomplete-events
 can be classified using a partial-observations-classifier (Kandanaarachchi
 et al. 2018) <doi:10.1371/journal.pone.0236331>.

Package: r-cran-eventstudy
Architecture: all
Version: 0.39.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7025
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-httr, r-cran-curl, r-cran-jsonlite, r-cran-magrittr, r-cran-data.table, r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-scales, r-cran-rcolorbrewer, r-cran-stringr, r-cran-purrr, r-cran-readr, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eventstudy_0.39.2-1.ca2004.1_all.deb
Size: 1723952
MD5sum: 5edb85bdea91c1c0e658062b93258973
SHA1: 4d9bbc67e3101f55fdeb015c37d7d282b7f4effb
SHA256: 293020609608c4fabb049fb1ce0abfa3bb28843d30790a0755a7e22e3379463f
SHA512: a0c3f1a89a38772f81604ce1159bf34d08b4d4f95e09e50ce11f27f921b019ade442f33bc48c7ffad12fbe791fcbb30da90d51343d2070aeee16de8f7a5c91ff
Homepage: https://cran.r-project.org/package=EventStudy
Description: CRAN Package 'EventStudy' (Event Study Analysis)
 Perform Event Studies from through our <https://EventStudyTools.com>
 Application Programming Interface, parse the results, visualize it, and / or
 use the results in further analysis.

Package: r-cran-eventstudyr
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-data.table, r-cran-dplyr, r-cran-estimatr, r-cran-ggplot2, r-cran-mass, r-cran-rlang, r-cran-pracma, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eventstudyr_1.1.3-1.ca2004.1_all.deb
Size: 234640
MD5sum: 63fb3740390de68774b4efb95dce0851
SHA1: d0942c78f93a099a0fbe5a87477ca08acf85fbc6
SHA256: 668b93dc35e3d0aa45955accb0ce4ca360d7618263d0643daf99b4dda5726dfd
SHA512: 5f262e9418598b291b0dc4282129a9b5c1d2f2dde56e437d6129d430b6e42ebebaf051fa9c4aa971211ade0a1b2c5557b0a4ef6bf143abce266c4e2e380bcefb
Homepage: https://cran.r-project.org/package=eventstudyr
Description: CRAN Package 'eventstudyr' (Estimation and Visualization of Linear Panel Event Studies)
 Estimates linear panel event study models. Plots coefficients following the
 recommendations in Freyaldenhoven et al. (2021) <doi:10.3386/w29170>.
 Includes sup-t bands, testing for key hypotheses, least wiggly path through
 the Wald region. Allows instrumental variables estimation following
 Freyaldenhoven et al. (2019) <doi:10.1257/aer.20180609>.

Package: r-cran-eventtrack
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-muhaz
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rpact, r-cran-fitdistrplus, r-cran-gestate
Filename: pool/dists/focal/main/r-cran-eventtrack_1.0.4-1.ca2004.1_all.deb
Size: 119728
MD5sum: fa3c43f122e5692f01e7159b774a0c07
SHA1: 2fb566253c4dca23fdb59197542a99c88305202a
SHA256: 4d0942ff56ae31106bb1c499ae932a0ac5c7995a5ee896bcf6f172c07d6418bc
SHA512: 785c3df86f213985ed97dd960baeff29c61cd125f6aa0ad480f0924c48870e5e89f2f29936a23aa07415ff6e4ef5eb120cafa3f128f8a89baf6fdca0486bd0e5
Homepage: https://cran.r-project.org/package=eventTrack
Description: CRAN Package 'eventTrack' (Event Prediction for Time-to-Event Endpoints)
 Implements the hybrid framework for event prediction described in Fang &
 Zheng (2011, <doi:10.1016/j.cct.2011.05.013>). To estimate the survival
 function the event prediction is based on, a piecewise exponential hazard
 function is fit to the time-to-event data to infer the potential change
 points. Prior to the last identified change point, the survival function is
 estimated using Kaplan-Meier, and the tail after the change point is fit
 using piecewise exponential.

Package: r-cran-eventwinratios
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eventwinratios_1.0.0-1.ca2004.1_all.deb
Size: 101480
MD5sum: ce1498b58c7d2028d86dbc058d6c5264
SHA1: 775c4b9b7a299d55a469c22f35720bb6d0da6dff
SHA256: 509ccc24215267af8a0410c6d6d19b04b0bb49a8d19ad59cc4beb03f9be4d1a3
SHA512: bd073a770ace078a33eae88fc13f677bca746425f8305f4d5f5c1029111a997b57a90c3b0b37b52b1870ea0306fbf14b2693ea0749f3e44a2d8e1d6f1006589d
Homepage: https://cran.r-project.org/package=EventWinRatios
Description: CRAN Package 'EventWinRatios' (Event-Specific Win Ratios for Terminal and Non-Terminal Events)
 Provides several confidence interval and testing procedures using
 event-specific win ratios for semi-competing risks data with non-terminal
 and terminal events, as developed in Yang et al.
 (2021<doi:10.1002/sim.9266>).  Compared with conventional methods for
 survival data, these procedures are designed to utilize more data for
 improved inference procedures with semi-competing risks data. The
 event-specific win ratios were introduced in Yang and Troendle
 (2021<doi:10.1177/1740774520972408>). In this package, the event-specific
 win ratios and confidence intervals are obtained for each event type, and
 several testing procedures are developed for the global null of no treatment
 effect on either terminal or non-terminal events. Furthermore, a test of
 proportional hazard assumptions, under which the event-specific win ratios
 converge to the hazard ratios, and a test of equal hazard ratios are
 provided. For summarizing the treatment effect on all events, confidence
 intervals for linear combinations of the event-specific win ratios are
 available using pre-determined or data-driven weights. Asymptotic properties
 of these inference procedures are discussed in Yang et al
 (2021<doi:10.1002/sim.9266>).  Also, transformations are used to yield
 better control of the type one error rates for moderately sized data sets.

Package: r-cran-evi
Architecture: all
Version: 0.2.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evi_0.2.0-0-1.ca2004.1_all.deb
Size: 89560
MD5sum: 7cfc1e764ead5b33681f45336994eba5
SHA1: 2634a3af1b49c53a3ada0d3824cae74a75159417
SHA256: 0d25f6f86b0ee47201b177b0f86743b36a6a3f12459ac96a6b89151965eed74c
SHA512: 2bfa85d49c88d7a54406ecca600bc6b3010c386c145f83426ec9bf3c5d2a898c8b60039383eaad3706b8a0b99a741896860b1f2637d417d6db9220af7c1b88a1
Homepage: https://cran.r-project.org/package=EVI
Description: CRAN Package 'EVI' (Epidemic Volatility Index as an Early-Warning Tool)
 This is an R package implementing the epidemic volatility index (EVI), as
 discussed by Kostoulas et. al. (2021) and variations by Pateras et. al.
 (2023). EVI is a new, conceptually simple, early warning tool for oncoming
 epidemic waves.  EVI is based on the volatility of newly reported cases per
 unit of time, ideally per day, and issues an early warning when the
 volatility change rate exceeds a threshold.

Package: r-cran-evian
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-profilelikelihood, r-cran-sandwich, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-evian_2.1.0-1.ca2004.1_all.deb
Size: 118756
MD5sum: df9e30a00e0627e9da1bf13bbaeb7118
SHA1: 63004aaad3546907ba1f34150074cdee3a38040c
SHA256: 9be6b5a2b23c9da3107ab4371262d9f08f5cf9c18d96602d5ffefee8be53f9d9
SHA512: 0a6bdb064b5ebf152f13bc6fa4f423941bc794c136fca620cd04e5db715f1c5a6b39d79f32bb9700d82d4d4a0ff9d304d334548ef17da7edd6474ca2d9e90c2e
Homepage: https://cran.r-project.org/package=evian
Description: CRAN Package 'evian' (Evidential Analysis of Genetic Association Data)
 Evidential regression analysis for dichotomous and quantitative outcome
 data. The following references described the methods in this package: Strug,
 L. J., Hodge, S. E., Chiang, T., Pal, D. K., Corey, P. N., & Rohde, C.
 (2010) <doi:10.1038/ejhg.2010.47>.  Strug, L. J., & Hodge, S. E. (2006)
 <doi:10.1159/000094709>.  Royall, R. (1997) <ISBN:0-412-04411-0>.

Package: r-cran-evidence
Architecture: all
Version: 0.8.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-rstanarm, r-cran-loo, r-cran-lattice, r-cran-learnbayes, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-evidence_0.8.10-1.ca2004.1_all.deb
Size: 234792
MD5sum: 76a9ef76651e230f7afaf38bf8642d09
SHA1: 231b25f46c4eb136de6f8b2c1dcf566aa3a48f6d
SHA256: a50edcb34125119760c8f19369ad06862860d6ca8c67c3f5c102722ebab549d2
SHA512: b5be82f07c99eddc417d4925bea2f92800974380423963f4df815fba05b0dfcbf52cbb367f9018dc2a343961d529100af1bfa0647863d6230ab10192eac81f08
Homepage: https://cran.r-project.org/package=evidence
Description: CRAN Package 'evidence' (Analysis of Scientific Evidence Using Bayesian and LikelihoodMethods)
 Bayesian (and some likelihoodist) functions as alternatives to
 hypothesis-testing functions in R base using a user interface patterned
 after those of R's hypothesis testing functions. See McElreath (2016, ISBN:
 978-1-4822-5344-3), Gelman and Hill (2007, ISBN: 0-521-68689-X) (new edition
 in preparation) and Albert (2009, ISBN: 978-0-387-71384-7) for good
 introductions to Bayesian analysis and Pawitan (2002, ISBN: 0-19-850765-8)
 for the Likelihood approach.  The functions in the package also make
 extensive use of graphical displays for data exploration and model
 comparison.

Package: r-cran-evidencefactors
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sensitivitymv
Filename: pool/dists/focal/main/r-cran-evidencefactors_1.8-1.ca2004.1_all.deb
Size: 46676
MD5sum: a8f7d2dd0cc6f6a9b7d70807c9fdeb60
SHA1: 40e7185e902aac295c7ce5eafdfe748d421d980d
SHA256: ed12642571c4a683e02f0b517b5caa8f59ff73ac6e0a13c32c6a150c7c20733c
SHA512: 3fff0c5f4ffa187a088947794d660e8059f2ad23f90fe141c54ae0325ac0963df37df53ae3d42d86f00a710f609ddecbefbd487f307fbf144d57fb9ba3b6d922
Homepage: https://cran.r-project.org/package=evidenceFactors
Description: CRAN Package 'evidenceFactors' (Reporting Tools for Sensitivity Analysis of Evidence Factors inObservational Studies)
 Provides tools for integrated sensitivity analysis of evidence factors in
 observational studies. When an observational study allows for multiple
 independent or nearly independent inferences which, if vulnerable, are
 vulnerable to different biases, we have multiple evidence factors.  This
 package provides methods that respect type I error rate control.  Examples
 are provided of integrated evidence factors analysis in a longitudinal study
 with continuous outcome and in a case-control study.  Karmakar, B., French,
 B., and Small, D. S. (2019)<DOI:10.1093/biomet/asz003>.

Package: r-cran-evidencesynthesis
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1566
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-dplyr, r-cran-ggplot2, r-cran-ggdist, r-cran-gridextra, r-cran-meta, r-cran-empiricalcalibration, r-cran-rjava, r-cran-beastjar, r-cran-cyclops, r-cran-hdinterval, r-cran-coda, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-sn
Filename: pool/dists/focal/main/r-cran-evidencesynthesis_0.5.0-1.ca2004.1_all.deb
Size: 1348624
MD5sum: 7864b572c48b0d2a8efe7902a0318d0a
SHA1: 9b3bcc9501ff796e8e61ac48667d8d2fcbda182a
SHA256: 60cc8c88f5da7f51210ce194d58ff58baf0befe2163b7542ffdeedeb6a0a7bbd
SHA512: 75fb157590fa4fb3064b86ff99fe95ae3d0096c70fc99ec41825654a6f0fa0159b8269d465947635cf39910221bbb3f8d2aea862be80180ea37993512c62c17d
Homepage: https://cran.r-project.org/package=EvidenceSynthesis
Description: CRAN Package 'EvidenceSynthesis' (Synthesizing Causal Evidence in a Distributed Research Network)
 Routines for combining causal effect estimates and study diagnostics across
 multiple data sites in a distributed study, without sharing patient-level
 data.  Allows for normal and non-normal approximations of the data-site
 likelihood of the effect parameter.

Package: r-cran-evident
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-sensitivity2x2xk, r-cran-sensitivitymult, r-cran-sensitivitymv, r-cran-senstrat, r-cran-dos2
Filename: pool/dists/focal/main/r-cran-evident_1.0.4-1.ca2004.1_all.deb
Size: 113308
MD5sum: c1dd3927bc29d325f8ae131c07443aa7
SHA1: 866de64831bab53a535dc8c83dd06cdead36e5c3
SHA256: 33c62aa2edb2e228fd2c01af3449bb4e8a0a89679b7fa93d164411beae818595
SHA512: 34f19b90a22c2e3f4419d456d121c853307cc126002274b7a0eabc941c55d077c75369afcc58b3bfc0454303067987dce00efd84b9804dd2a56c4c914ea07c2c
Homepage: https://cran.r-project.org/package=evident
Description: CRAN Package 'evident' (Evidence Factors in Observational Studies)
 Contains a collection of examples of evidence factors in observational
 studies from the book Replication and Evidence Factors in Observational
 Studies by Paul R. Rosenbaum (2021) <doi:10.1201/9781003039648>.

Package: r-cran-eviewsr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4343
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-xts, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eviewsr_0.1.6-1.ca2004.1_all.deb
Size: 2416216
MD5sum: 71a876ce14c5354e42908d0d4770cad8
SHA1: 42dbec9fe875abfa54d2195535614f90009993aa
SHA256: f70c5d0189ae9dfe7039b1f143e16689bd8795d7a7c4d4b8cabaf212b30e8464
SHA512: a31567234f9ec9203ffe4683bb71b226730b844891bf8bda1148db2e70fb75ee8aafc27439ca771a58f7769a775c7101e368a3d35ab496fdf003b6d2dadbe9fc
Homepage: https://cran.r-project.org/package=EviewsR
Description: CRAN Package 'EviewsR' (A Seamless Integration of 'EViews' and R)
 It allows running 'EViews' (<https://eviews.com>) program from R, R Markdown
 and Quarto documents. 'EViews' (Econometric Views) is a statistical software
 for Econometric analysis.  This package integrates 'EViews' and R and also
 serves as an 'EViews' Knit-Engine for 'knitr' package. Write all your
 'EViews' commands in R, R Markdown or Quarto documents. For details, please
 consult our peer-review article Mati S., Civcir I. and Abba S.I (2023)
 <doi:10.32614/RJ-2023-045>.

Package: r-cran-evildice
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-evildice_1.0-1.ca2004.1_all.deb
Size: 16408
MD5sum: 9726385449e8af7e268830cfd05e2a30
SHA1: 8c4c2586dd210978598853557e679315f3d463a4
SHA256: a05d21752a62a8b7d2d4f5370ca91b78ace91ccd11291a0adf112f892f0ece45
SHA512: 86ca9cfa870f6629c4a79368d1d3be17139024e35b15dc95232cabbb267ae04a551c2e88d6604d143d52f348e8dde14bd6c9a7dc12bd8a0b11f11b00e7716381
Homepage: https://cran.r-project.org/package=evilDice
Description: CRAN Package 'evilDice' (Test Dice Sets for Intransitive Properties)
 Checks to see whether a supplied set of dice (their face values) are
 transitive, returning pair-win and group-roll win probabilities. Expected
 returns (mean magnitude of win/loss) are presented as well.

Package: r-cran-evir
Architecture: all
Version: 1.7-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-evir_1.7-4-1.ca2004.1_all.deb
Size: 453460
MD5sum: 0ca91fc43b2194c07b871594ae8e80b5
SHA1: 23f37facfe5c1d0b065eb0f4ef3010415b09a700
SHA256: 3952f485851a854f460961e08659ae5da15cbb8f5ba4dbcdddb9d051ba54fd21
SHA512: 453cfab7d7a7bf7727163af9e639938290c531a339ef66c3de2c54c7742b3136645db6c07cc910813dda39b6a7eb2f8de1ecc4d51609ce3490af2aef47eae40b
Homepage: https://cran.r-project.org/package=evir
Description: CRAN Package 'evir' (Extreme Values in R)
 Functions for extreme value theory, which may be divided into the following
 groups; exploratory data analysis, block maxima, peaks over thresholds
 (univariate and bivariate), point processes, gev/gpd distributions.

Package: r-cran-evmix
Architecture: all
Version: 2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4998
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gsl, r-cran-sparsem
Filename: pool/dists/focal/main/r-cran-evmix_2.12-1.ca2004.1_all.deb
Size: 4829512
MD5sum: 8a6e3198673a6f8c227cd0a8a542643c
SHA1: 8f936e1af379e7323d85123e5c8bd269407a236e
SHA256: 152cd5ffd89a96e3916de91e6b885ca199d744d2c83f9ec17cd7fee6d5219835
SHA512: c9226b3948c988cb6ce97a789df712e1ea78b25fbf298cf9fdc2473581bee91a21b021156204a5ba41f82ab880fae97cfee5e6ff0e7412782cef4a76aa38d1ac
Homepage: https://cran.r-project.org/package=evmix
Description: CRAN Package 'evmix' (Extreme Value Mixture Modelling, Threshold Estimation andBoundary Corrected Kernel Density Estimation)
 The usual distribution functions, maximum likelihood inference and model
 diagnostics for univariate stationary extreme value mixture models are
 provided. Kernel density estimation including various boundary corrected
 kernel density estimation methods and a wide choice of kernels, with
 cross-validation likelihood based bandwidth estimator.  Reasonable
 consistency with the base functions in the 'evd' package is provided, so
 that users can safely interchange most code.

Package: r-cran-evobir
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-ape, r-cran-geiger, r-cran-shiny, r-cran-phytools
Filename: pool/dists/focal/main/r-cran-evobir_1.1-1.ca2004.1_all.deb
Size: 163948
MD5sum: b02ee94ef14c3260ed25ab2cc8b21fbb
SHA1: 86e55e50a33a5bdcca9ab7293d1661f71cffa08d
SHA256: a9a2fe5ce6d4f4b3e67237973c8eb87f13fe9ad143c6a83d4e3c68e5c0f29afb
SHA512: c2ccd153bcc5f45e43e61dee006c5820316368e4bd1fd38c97a735b394239c526c1dfe0ee8616204e321f9db9faeb738bdbe4eb34b535312ea92b3d69d303b9a
Homepage: https://cran.r-project.org/package=evobiR
Description: CRAN Package 'evobiR' (Comparative and Population Genetic Analyses)
 Comparative analysis of continuous traits influencing discrete states, and
 utility tools to facilitate comparative analyses.  Implementations of
 ABBA/BABA type statistics to test for introgression in genomic data.
 Wright-Fisher, phylogenetic tree, and statistical distribution Shiny
 interactive simulations for use in teaching.

Package: r-cran-evolmap
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-curl, r-cran-sf
Filename: pool/dists/focal/main/r-cran-evolmap_1.3.8-1.ca2004.1_all.deb
Size: 1150804
MD5sum: fb4b193e88eaa283d99cd618f16d21fd
SHA1: 1c192a730d214dd83fdb4cda150c2b3e7d12dfa0
SHA256: c1a322756515460250f993168c24af1d764808a8b9a318e0985aaf8d3595dc86
SHA512: d73936d9c4c7d20ae3ab58d64a335ae193cfe9fe24a5eb22d9a90cde9f390f83ca0c8d884af31a101c290d3c2185602b833e2092d38cbcfaeb51bb13a72ad496
Homepage: https://cran.r-project.org/package=evolMap
Description: CRAN Package 'evolMap' (Dynamic and Interactive Maps)
 Dynamic and Interactive Maps with R, powered by 'leaflet'
 <https://leafletjs.com>. 'evolMap' generates a web page with interactive and
 dynamic maps to which you can add geometric entities (points, lines or
 colored geographic areas), and/or markers with optional links between them.
 The dynamic ability of these maps allows their components to evolve over a
 continuous period of time or by periods.

Package: r-cran-evolutionarygames
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4190
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-desolve, r-cran-geometry, r-cran-ggplot2, r-cran-interp, r-cran-mass, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-evolutionarygames_0.1.2-1.ca2004.1_all.deb
Size: 2943408
MD5sum: 7094b57aca33af7d678c9ecc17c4f932
SHA1: 2427951ff291eb5bc1e95192f796799abc0b2d39
SHA256: f1f85fefbe20b566b68506859e3a5ddd66006aff68345bb9028b20acb7be9e5e
SHA512: dddd6d69a2544ac3016d1158a821f93a44013b5c93a9924972b3123b3b741b0e8a62ce9d93a936a8e53d3502351ceb8ca158792924701400fe9bc1ec337a179d
Homepage: https://cran.r-project.org/package=EvolutionaryGames
Description: CRAN Package 'EvolutionaryGames' (Important Concepts of Evolutionary Game Theory)
 Evolutionary game theory applies game theory to evolving populations in
 biology, see e.g. one of the books by Weibull (1994, ISBN:978-0262731218) or
 by Sandholm (2010, ISBN:978-0262195874) for more details. A comprehensive
 set of tools to illustrate the core concepts of evolutionary game theory,
 such as evolutionary stability or various evolutionary dynamics, for
 teaching and academic research is provided.

Package: r-cran-evolvability
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-coda, r-cran-matrix, r-cran-ape, r-cran-lme4
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-evolvability_2.0.1-1.ca2004.1_all.deb
Size: 307344
MD5sum: 2fbcde1d1d0cb50ccd7fe8f4b88adfce
SHA1: d9617c5ce98e5b5534a190e58a72ecb1c9f6b151
SHA256: a41268957d014114927c70560ea8f946d9f443b558acbcab9d876571ec8e6aa2
SHA512: 7039e9cf28bb72dfe3f5606b846759589361e55b571bddace693557c9450d8ce6b69774894167c2c2e31f71460ca31a4a2a5fac5cc9dfa117f1dad28e4d03a84
Homepage: https://cran.r-project.org/package=evolvability
Description: CRAN Package 'evolvability' (Calculation of Evolvability Parameters)
 Provides tools for calculating evolvability parameters from estimated
 G-matrices as defined in Hansen and Houle (2008)
 <doi:10.1111/j.1420-9101.2008.01573.x> and fits phylogenetic comparative
 models that link the rate of evolution of a trait to the state of another
 evolving trait (see Hansen et al. 2021 Systematic Biology
 <doi:10.1093/sysbio/syab079>). The package was released with Bolstad et al.
 (2014) <doi:10.1098/rstb.2013.0255>, which contains some examples of use.

Package: r-cran-evolved
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4582
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-diversitree, r-cran-phytools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lsd, r-cran-paleobiodb, r-cran-bammtools, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-evolved_1.0.0-1.ca2004.1_all.deb
Size: 3048616
MD5sum: 41b687169ebd7c08d6cd778213ab150d
SHA1: a9bb9c0fa97d3998c951fc96870734fb29835cb7
SHA256: 4827fa3eff5ddf85eeb47fe3bce0b7f099573dae5334b8a221dc34e3de5fb341
SHA512: 7249262370451b2f01d1e4e3e4acf4e24e4ded3fac897ee65b33d56abc6bd8f4d1ea174f9f06883dc786f8875d01233f2241c6cac8477ff032881d0a282dca31
Homepage: https://cran.r-project.org/package=evolved
Description: CRAN Package 'evolved' (Open Software for Teaching Evolutionary Biology at MultipleScales Through Virtual Inquiries)
 "Evolutionary Virtual Education" - 'evolved' - provides multiple tools to
 help educators (especially at the graduate level or in advanced
 undergraduate level courses) apply inquiry-based learning in general
 evolution classes. In particular, the tools provided include functions that
 simulate evolutionary processes (e.g., genetic drift, natural selection
 within a single locus) or concepts (e.g. Hardy-Weinberg equilibrium,
 phylogenetic distribution of traits). More than only simulating, the package
 also provides tools for students to analyze (e.g., measuring, testing,
 visualizing) datasets with characteristics that are common to many fields
 related to evolutionary biology. Importantly, the package is heavily
 oriented towards providing tools for inquiry-based learning - where students
 follow scientific practices to actively construct knowledge. For additional
 details, see package's vignettes.

Package: r-cran-evomorph
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-geomorph, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-evomorph_0.9-1.ca2004.1_all.deb
Size: 416612
MD5sum: d3433481a8b78f807283944bbfd7b3e3
SHA1: 58ef02bb5b8e1e2896b34e05d154dd9e300b59c6
SHA256: 375de4b7f4a875efd0d04a4a647a6f0b3066a72e81e59058c57938dab03fdfdb
SHA512: 07c68c8a74dff5bb84407ff44c3aad293cb06d27fcdffef9ecc4ea23737b6384bdeca1c49501cecabd980b57d30f4d0d1cfbb0a4dd9f3007b40b3c3b9584b399
Homepage: https://cran.r-project.org/package=Evomorph
Description: CRAN Package 'Evomorph' (Evolutionary Morphometric Simulation)
 Evolutionary process simulation using geometric morphometric data.
 Manipulation of landmark data files (TPS), shape plotting and distances
 plotting functions.

Package: r-cran-evoper
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rrepast, r-cran-futile.logger, r-cran-boot, r-cran-reshape, r-cran-ggplot2, r-cran-desolve, r-cran-plot3d, r-cran-plyr, r-cran-data.table, r-cran-rnetlogo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evoper_0.5.0-1.ca2004.1_all.deb
Size: 478864
MD5sum: b0cc02cb6c5a05ffb8ac33507b16e052
SHA1: 6f28b916d5ec70f6689a612fe7189ff8a4be6928
SHA256: fdf8aa4e78086ab4bd82adfc0d4184f447305d4bbb4c972b60f64295e5521996
SHA512: 3c8f6e6c0dbd71d2d95e279e86f973631bd15f25910c7ffb1b528035e5505d85ad9b4ab047aec8fd5b74be04a913cd0bf6d74e6a1baf1dc2eab442cb0402bc49
Homepage: https://cran.r-project.org/package=evoper
Description: CRAN Package 'evoper' (Evolutionary Parameter Estimation for 'Repast Simphony' Models)
 The EvoPER, Evolutionary Parameter Estimation for Individual-based Models is
 an extensible package providing optimization driven parameter estimation
 methods using metaheuristics and evolutionary computation techniques
 (Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization
 for continuous domains, Tabu Search, Evolutionary Strategies, ...)  which
 could be more efficient and require, in some cases, fewer model evaluations
 than alternatives relying on experimental design.  Currently there are built
 in support for models developed with 'Repast Simphony' Agent-Based framework
 (<https://repast.github.io/>) and with NetLogo
 (<https://ccl.northwestern.edu/netlogo/>) which are the most used frameworks
 for Agent-based modeling.

Package: r-cran-evophylo
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6790
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-cluster, r-cran-deeptime, r-cran-ggplot2, r-cran-ggrepel, r-bioc-ggtree, r-cran-patchwork, r-bioc-treeio, r-cran-rtsne, r-cran-unglue, r-cran-devtools
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-evophylo_0.3.2-1.ca2004.1_all.deb
Size: 4313660
MD5sum: f713dad220d92f0b1ebf6184209d8cbf
SHA1: 2fb3f460fa81845acccbdc5cfb665e8e75d0eff1
SHA256: bdef3a138a3cb99ee19587e9c9d9dd51dc8e04f5ec9bb21d40809f4c44decce0
SHA512: bcb18069bfd350164568c3267f7ce2b387899cb387d0150a953b046cdf9244661245d4ed7e29990c236ce567bfc9180331328046d1a4bfa708c4512f21717170
Homepage: https://cran.r-project.org/package=EvoPhylo
Description: CRAN Package 'EvoPhylo' (Pre- And Postprocessing of Morphological Data from Relaxed ClockBayesian Phylogenetics)
 Performs automated morphological character partitioning for phylogenetic
 analyses and analyze macroevolutionary parameter outputs from clock
 (time-calibrated) Bayesian inference analyses, following concepts introduced
 by Simões and Pierce (2021) <doi:10.1038/s41559-021-01532-x>.

Package: r-cran-evorag
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-evorag_2.0-1.ca2004.1_all.deb
Size: 239624
MD5sum: 67239e4d3d1488988c198ba1e68f4c76
SHA1: 615dbc413880bc3ca487e4d698f87e7e0838e3e9
SHA256: 6ca84a6e3d996fd470721dc2c0648b580286b22a2a9282805554edb7e1d38c30
SHA512: ded0f5ecfb82f12524b280d38a190ab177b373638431e0fc58422f8849b9485efd7740890560aeda0629601e9199ab711fe32c1902eaa8fc20daa685e7a2c47a
Homepage: https://cran.r-project.org/package=EvoRAG
Description: CRAN Package 'EvoRAG' (Evolutionary Rates Across Gradients)
 Uses maximum likelihood to estimate rates of trait evolution across
 environmental gradients.

Package: r-cran-evots
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 503
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paleots, r-cran-mvtnorm, r-cran-plotly, r-cran-pracma, r-cran-mass
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-evots_1.0.3-1.ca2004.1_all.deb
Size: 459688
MD5sum: c45a0f61f1549e07e238af5a19246787
SHA1: f15750583ffc906f376d5290f662b3f550ca653f
SHA256: 16621f527f7ffb9e018f44895bdb52abf66b9288a19dc247e4fc4f3c4484c413
SHA512: c8c5c0e33c5082ba7a2f992986a702a29409f49e628acc4d02bbe8dff1d5d4e2b23c7e063a74578633a408a23d76fe58154247e38a7107e5b6933a60f935f7dd
Homepage: https://cran.r-project.org/package=evoTS
Description: CRAN Package 'evoTS' (Analyses of Evolutionary Time-Series)
 Facilitates univariate and multivariate analysis of evolutionary sequences
 of phenotypic change. The package extends the modeling framework available
 in the 'paleoTS' package. Please see
 <https://klvoje.github.io/evoTS/index.html> for information about the
 package and the implemented models.

Package: r-cran-evprof
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4441
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dbscan, r-cran-dplyr, r-cran-ggplot2, r-cran-jsonlite, r-cran-lubridate, r-cran-mass, r-cran-mclust, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evprof_1.1.2-1.ca2004.1_all.deb
Size: 3267520
MD5sum: 3636c34ee702bf7cf27f42864c2c5484
SHA1: 5299e9d165e67c1c6f3e4762c55fd7152464368b
SHA256: d2b05f9e98f63b69bf0a3ea2aed599b54f4e6e52c2092cbf415a8b3fd8609ca6
SHA512: cf12be338ea0de7cb53f7f570cd660260f007c516ae39f83c9a2b1fe81c121b3811cffd248db1a3920d274ce27d643bc2d9e4dcdec1346936d1f8c85a3fb36a9
Homepage: https://cran.r-project.org/package=evprof
Description: CRAN Package 'evprof' (Electric Vehicle Charging Sessions Profiling and Modelling)
 Tools for modelling electric vehicle charging sessions into generic groups
 with similar connection patterns called "user profiles", using Gaussian
 Mixture Models clustering. The clustering and profiling methodology is
 described in Cañigueral and Meléndez (2021, ISBN:0142-0615)
 <doi:10.1016/j.ijepes.2021.107195>.

Package: r-cran-evreg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evclust
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nnet, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-evreg_1.1.1-1.ca2004.1_all.deb
Size: 271816
MD5sum: fd85ef1e36ef6124fc05ba662f486750
SHA1: 790ee8ede1f79e070d7c80ef292ab0cc01c5151f
SHA256: 194935c5a2e05c8f8c62e00f312f92b4889520b1dc3777bf7ce679cec1270f68
SHA512: ec4fee1dff161010ef1e549e5634f9473003371d1f1afd5755f2d017a5ba9cb7689d5984e462617c7775b1ccc60704a8aa6169f93336d5868c3242761b6a1c17
Homepage: https://cran.r-project.org/package=evreg
Description: CRAN Package 'evreg' (Evidential Regression)
 An implementation of the 'Evidential Neural Network for Regression' model
 recently introduced in Denoeux (2023) <doi:10.1109/TFUZZ.2023.3268200>. In
 this model, prediction uncertainty is quantified by Gaussian random fuzzy
 numbers as introduced in Denoeux (2023) <doi:10.1016/j.fss.2022.06.004>. The
 package contains functions for training the network, tuning hyperparameters
 by cross-validation or the hold-out method, and making predictions. It also
 contains utilities for making calculations with Gaussian random fuzzy
 numbers (such as, e.g., computing the degrees of belief and plausibility of
 an interval, or combining Gaussian random fuzzy numbers).

Package: r-cran-evsim
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1788
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-jsonlite, r-cran-dygraphs, r-cran-ggplot2
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-evsim_1.6.1-1.ca2004.1_all.deb
Size: 1643920
MD5sum: 70491d47ee4543426dd585384e18e993
SHA1: 8b71d611f26afeedd422b1a661b9960258bb224d
SHA256: 6c0d9b09aafb4d1e8eb7bd786d702d1467e0544e9852640c1df1493d2310b7ef
SHA512: 4c027e7e04032601bc60d7e7dacd4657cfe99298b166728a3ca6f1ec96c35d53b46bd55ff04ae311783f775b8f9235a51cc91f2552323ad7424b2c406d2bd67d
Homepage: https://cran.r-project.org/package=evsim
Description: CRAN Package 'evsim' (Electric Vehicle Charging Sessions Simulation)
 Simulation of Electric Vehicles charging sessions using Gaussian models,
 together with time-series power demand calculations.

Package: r-cran-evt0
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evd
Filename: pool/dists/focal/main/r-cran-evt0_1.1.5-1.ca2004.1_all.deb
Size: 129792
MD5sum: 128e363a9f4a6f8f444c57384f36097e
SHA1: f2cb3e65e0df55e50aa3c339d8dc78bd745ef3f7
SHA256: 1086cc161c436890ff65acbfd8ee82ed39f744cd3484e1083fb4e76545105af9
SHA512: a50da2a2530974a93e0acea773b7d4f0f3c75e6cbb412be6ad82deffcf7d466ca34ab122406ac94b7206a63e124b9fe1c3220bc3d3fc7c8387274b06568cb888
Homepage: https://cran.r-project.org/package=evt0
Description: CRAN Package 'evt0' (Mean of Order P, Peaks over Random Threshold Hill and HighQuantile Estimates)
 The R package proposes extreme value index estimators for heavy tailed
 models by mean of order p <DOI:10.1016/j.csda.2012.07.019>, peaks over
 random threshold <DOI:10.57805/revstat.v4i3.37> and a bias-reduced estimator
 <DOI:10.1080/00949655.2010.547196>.  The package also computes moment,
 generalised Hill <DOI:10.2307/3318416> and mixed moment estimates for the
 extreme value index.  High quantiles and value at risk estimators based on
 these estimators are implemented.

Package: r-cran-evtclass
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-cran-evd, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-evtclass_1.0-1.ca2004.1_all.deb
Size: 299528
MD5sum: e676bfc59655b043531e382237ed8eb1
SHA1: d52a59fc654333270d715007483866cf99f6ea17
SHA256: 29bfae67bb628e62806f4e9a03a304ad787656bcfe6ab9198e99caa369e8df20
SHA512: e3611a74117eb298eef2743da03c6ef03f0e28ea7d11c127cb23bebd6ea33c096f50b2875fa398a67653bf8cce42f84415328f6057deb8b8bcd2dd29576bff77
Homepage: https://cran.r-project.org/package=evtclass
Description: CRAN Package 'evtclass' (Extreme Value Theory for Open Set Classification - GPD and GEVClassifiers)
 Two classifiers for open set recognition and novelty detection based on
 extreme value theory. The first classifier is based on the generalized
 Pareto distribution (GPD) and the second classifier is based on the
 generalized extreme value (GEV) distribution. For details, see Vignotto, E.,
 & Engelke, S. (2018) <arXiv:1808.09902>.

Package: r-cran-ew
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ew_1.1-1.ca2004.1_all.deb
Size: 16036
MD5sum: 0cdecd29d2fb16329ea0d193097bdd3b
SHA1: 52fbfa8355d88a2d86c84e8259db3ce393628a0a
SHA256: f8ca96e72a00a18b03c49e655a8a14503bfa4c13573f54777066d1cd2f50f549
SHA512: ce56631b5f94032fa6df98a67ef4df8bcb663d10b576aa5d29e2ff5d1571df9fe51a9edd42817ca093ec11ff5254f3838c33fe28f8fabdc9051b3e3e3fa04053
Homepage: https://cran.r-project.org/package=EW
Description: CRAN Package 'EW' (Edgeworth Expansion)
 Edgeworth Expansion calculation.

Package: r-cran-ewoc.comb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ewoc.comb_1.0-1.ca2004.1_all.deb
Size: 95312
MD5sum: 3654b53dbf852311b7f2c5a0df61b97b
SHA1: c4f8be9bb591234fc75ae334aebf4dcbc93a2a86
SHA256: b5e460f58aa40bebd9f0ece3ae6032b6a8dd56063bc83ef1e0cf3747056cd42a
SHA512: 93cffa62005e410f638e47d0b368d6f31b10bcb896f17488d47cebe2d532806799bf3f224d89779b4781c12d9d9a22ff27cf91950e4eb2a9ec07ebf47f16dac6
Homepage: https://cran.r-project.org/package=EWOC.Comb
Description: CRAN Package 'EWOC.Comb' (Escalation with Overdose Control using 2 Drug Combinations)
 Implements Escalation With Overdose Control trial designs using two drug
 combinations described by this paper <doi:10.1002/sim.6961>(Tighiouart et
 al., 2016). It calculates the recommended dose for next cohorts and perform
 simulations to obtain operating characteristics.

Package: r-cran-ewoc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dorng
Filename: pool/dists/focal/main/r-cran-ewoc_0.3.0-1.ca2004.1_all.deb
Size: 178088
MD5sum: 9dca3bfb57c360c478ba44876769ff94
SHA1: c8bbaa2f11b58633f9a3dc8ed4b6b426cf0697c6
SHA256: 12e5fe6a49e6fc00341dbb4a156677f8d85f5bee41b0a1cb993578779d46b75a
SHA512: a6af2caeaeda67eaae444272b26996f4eba7d081b83a47cd398360dd93c32bc96006988fad8ed32b11a0e1592ae111d9c3514a3afb9a9b814d7b4f50be7f1a5a
Homepage: https://cran.r-project.org/package=ewoc
Description: CRAN Package 'ewoc' (Escalation with Overdose Control)
 An implementation of a variety of escalation with overdose control designs
 introduced by Babb, Rogatko and Zacks (1998)
 <doi:10.1002/(SICI)1097-0258(19980530)17:10%3C1103::AID-SIM793%3E3.0.CO;2-9>.
 It calculates the next dose as a clinical trial proceeds and performs
 simulations to obtain operating characteristics.

Package: r-cran-ewr
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ewr_1.4-1.ca2004.1_all.deb
Size: 38856
MD5sum: 4d788c031e80c3538ac083f49b0f8889
SHA1: 1ee1d04035863d2e4678db9e24b4ec04a6e0ccad
SHA256: 514c548ab7d33b849c4965283ccbb7d27749a37b5f9927261b7496f9f259359e
SHA512: 8b844d9d97bee8fcda5d6221ffbb46a3f6280514e615eb25e7cc6ef79104ebeb385c3587a0308f146df8d9b2808c691a0a8083dd58bdb60b0da5da2a6528cdcb
Homepage: https://cran.r-project.org/package=EwR
Description: CRAN Package 'EwR' (Econometrics with R)
 Function and data sets in the book entitled "R ile Temel Ekonometri",
 S.Guris, E.C.Akay, B. Guris(2020). The book published in Turkish. It is
 possible to makes Durbin two stage method for autocorrelation, generalized
 differencing method for correction autocorrelation, Hausman Test for
 identification and computes LM, LR and Wald test statistics for redundant
 variable by using the functions written in this package.

Package: r-cran-ews
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-ews_0.2.0-1.ca2004.1_all.deb
Size: 119920
MD5sum: a8cb50936af57582a3ef278d7f84899f
SHA1: 04e72ee5d93ed2fdd5730fef59886b57c739cb7f
SHA256: 6a3ce8ea99936b89350ffede461b4c33c551cbb3ae51477379c9c4ae6f17da2a
SHA512: 38434f145d75f0c3df08a5c00ddaa16b407f6db4c368047e6884089c2c6560120fe09cfa19cf6887348b9a4012d9dbe73f55db595c9ba4d6d7f73029d82932e0
Homepage: https://cran.r-project.org/package=EWS
Description: CRAN Package 'EWS' (Early Warning System)
 The purpose of Early Warning Systems (EWS) is to detect accurately the
 occurrence of a crisis, which is represented by a binary variable which
 takes the value of one when the event occurs, and the value of zero
 otherwise. EWS are a toolbox for policymakers to prevent or attenuate the
 impact of economic downturns. Modern EWS are based on the econometric
 framework of Kauppi and Saikkonen (2008) <doi:10.1162/rest.90.4.777>.
 Specifically, this framework includes four dichotomous models, relying on a
 logit approach to model the relationship between yield spreads and future
 recessions, controlling for recession risk factors. These models can be
 estimated in a univariate or a balanced panel framework as in Candelon,
 Dumitrescu and Hurlin (2014) <doi:10.1016/j.ijforecast.2014.03.015>. This
 package provides both methods for estimating these models and a dataset
 covering 13 OECD countries over a period of 45 years. In addition, this
 package also provides methods for the analysis of the propagation mechanisms
 of an exogenous shock, as well as robust confidence intervals for these
 response functions using a block-bootstrap method as in Lajaunie (2021).
 This package constitutes a useful toolbox (data and functions) for scholars
 as well as policymakers.

Package: r-cran-ewsmethods
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3589
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-egg, r-cran-ggplot2, r-cran-gtools, r-cran-forecast, r-cran-foreach, r-cran-infotheo, r-cran-mar, r-cran-moments, r-cran-redm, r-cran-reticulate, r-cran-scales, r-cran-zoo
Suggests: r-cran-devtools, r-cran-doparallel, r-cran-knitr, r-cran-fs, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ewsmethods_1.3.1-1.ca2004.1_all.deb
Size: 3019564
MD5sum: d56a1bf0fe1a384726535c2ed0df2a6f
SHA1: 128aec3a5d0b61c382f31f2ff8f62922ff2e3784
SHA256: 0e4af241628622cc40ba26bf76610944da356eadd50e39a2d41bc8d0a3d6938a
SHA512: cc7cf49682759a4411909f212a4705d2abe824b80bd6294496b3ac80c0767150c616e8e91998f08ddf051b71d9e1d199ccef81fb622328f4cd8f9fd36cc59d77
Homepage: https://cran.r-project.org/package=EWSmethods
Description: CRAN Package 'EWSmethods' (Forecasting Tipping Points at the Community Level)
 Rolling and expanding window approaches to assessing abundance based early
 warning signals, non-equilibrium resilience measures, and machine learning.
 See Dakos et al. (2012) <doi:10.1371/journal.pone.0041010>, Deb et al.
 (2022) <doi:10.1098/rsos.211475>, Drake and Griffen (2010)
 <doi:10.1038/nature09389>, Ushio et al. (2018) <doi:10.1038/nature25504> and
 Weinans et al. (2021) <doi:10.1038/s41598-021-87839-y> for methodological
 details. Graphical presentation of the outputs are also provided for clear
 and publishable figures. Visit the 'EWSmethods' website for more
 information, and tutorials.

Package: r-cran-exact.n
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4749
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-exact.n_1.1.1-1.ca2004.1_all.deb
Size: 4341072
MD5sum: 4eda7b840db081165c4415956df8ca09
SHA1: 524fec000e667ad82453d952fc9cd7342e852303
SHA256: 3c079575508df676fd3db6ab5bdb32745772566f240738a56fc131ca01f92693
SHA512: 0a2a92562b53fd68ef5aa5467d20d8f325e2f0f75a4f3f6142082dd13c372e17baa257c2a0eef910af9b27eec992d2abf17d2540f7e5c8e1549bc94fe1606b7a
Homepage: https://cran.r-project.org/package=exact.n
Description: CRAN Package 'exact.n' (Exact Samples Sizes and Inference for Clinical Trials withBinary Endpoint)
 Allows the user to determine minimum sample sizes that achieve target size
 and power at a specified alternative. For more information, see “Exact
 samples sizes for clinical trials subject to size and power constraints” by
 Lloyd, C.J. (2022) Preprint <doi:10.13140/RG.2.2.11828.94085>.

Package: r-cran-exact2x2
Architecture: all
Version: 1.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1338
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-exactci, r-cran-ssanv
Suggests: r-cran-testthat, r-cran-exact, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-exact2x2_1.6.9-1.ca2004.1_all.deb
Size: 932980
MD5sum: 07133dee1e0d8d99222d893e06463d89
SHA1: b35be9deb0b804593e5ec4e7ca5efe952c1ab234
SHA256: 195aac20d224f451a4c24a7e0b9969a4365761d3309bb0663a99b496047c414d
SHA512: 66917790ba7c17bcce334ce75a40f55a0fd5c3a0d4fc5620cb56bc0afc4cc0b068614e3b3fd5f0b162f551c1797d12e95ee7dbe4c28009615ec2e3f148a14913
Homepage: https://cran.r-project.org/package=exact2x2
Description: CRAN Package 'exact2x2' (Exact Tests and Confidence Intervals for 2x2 Tables)
 Calculates conditional exact tests (Fisher's exact test, Blaker's exact
 test, or exact McNemar's test) and unconditional exact tests (including
 score-based tests on differences in proportions, ratios of proportions, and
 odds ratios, and Boshcloo's test) with appropriate matching confidence
 intervals, and provides power and sample size calculations. Gives melded
 confidence intervals for the binomial case (Fay, et al, 2015,
 <DOI:10.1111/biom.12231>). Gives boundary-optimized rejection region test
 (Gabriel, et al, 2018, <DOI:10.1002/sim.7579>), an unconditional exact test
 for the situation where the controls are all expected to fail. Gives
 confidence intervals compatible with exact McNemar's or sign tests (Fay and
 Lumbard, 2021, <DOI:10.1002/sim.8829>). For review of these kinds of exact
 tests see Fay and Hunsberger (2021, <DOI:10.1214/21-SS131>).

Package: r-cran-exact
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-exact_3.3-1.ca2004.1_all.deb
Size: 204056
MD5sum: 9f5f549b254ccc68521d036038e8d61a
SHA1: f88b905aa9787a6844b9cccd028bea2ab89e21cc
SHA256: 0373a1ca968c7b0f60fb43388fc63c447e0a1c5856356c6bdd661bcfcb739453
SHA512: 6a448c0d27022e0d87aa302810e7ea461fdb489973283726df857a2a6328ce6aa68a577440b1f2aed93c5dbb21f09d1d95c793a15bb0a1e75d1754db85eddb93
Homepage: https://cran.r-project.org/package=Exact
Description: CRAN Package 'Exact' (Unconditional Exact Test)
 Performs unconditional exact tests and power calculations for 2x2
 contingency tables.  For comparing two independent proportions, performs
 Barnard's test (1945) <doi:10.1038/156177a0> using the original CSM test
 (Barnard, 1947 <doi:10.1093/biomet/34.1-2.123>), using Fisher's p-value
 referred to as Boschloo's test (1970)
 <doi:10.1111/j.1467-9574.1970.tb00104.x>, or using a Z-statistic (Suissa and
 Shuster, 1985, <doi:10.2307/2981892>).  For comparing two binary
 proportions, performs unconditional exact test using McNemar's Z-statistic
 (Berger and Sidik, 2003, <doi:10.1191/0962280203sm312ra>), using McNemar's
 conditional p-value, using McNemar's Z-statistic with continuity correction,
 or using CSM test.  Calculates confidence intervals for the difference in
 proportion.  This package interacts with pre-computed data available through
 the ExactData R package, which is available in a 'drat' repository.  Install
 the ExactData R package from GitHub at <https://pcalhoun1.github.io/drat/>.
 The ExactData R package is approximately 85 MB.

Package: r-cran-exactamente
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-shinythemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exactamente_0.1.1-1.ca2004.1_all.deb
Size: 73724
MD5sum: 93734aa78fc1fcace89073d338bc495d
SHA1: dfc3d140068c9818e0ba3a47657f6673833f65ff
SHA256: 45f77b31e384d37fbe3fd06c3dc3fca1f353ca5211a5da1f6f57aaa67acc32d9
SHA512: 3bbea007914b461fa3217601e817f061b41edadc4606f6e174570978ba4314e3dd3dc94f13ba0ba0304569bc72711eddeb9cb74cdf631d63d6b372549b604b18
Homepage: https://cran.r-project.org/package=exactamente
Description: CRAN Package 'exactamente' (Explore the Exact Bootstrap Method)
 Researchers often use the bootstrap to understand a sample drawn from a
 population with unknown distribution. The exact bootstrap method is a
 practical tool for exploring the distribution of small sample size data. For
 a sample of size n, the exact bootstrap method generates the entire space of
 n to the power of n resamples and calculates all realizations of the
 selected statistic. The 'exactamente' package includes functions for
 implementing two bootstrap methods, the exact bootstrap and the regular
 bootstrap. The exact_bootstrap() function applies the exact bootstrap method
 following methodologies outlined in Kisielinska (2013)
 <doi:10.1007/s00180-012-0350-0>.  The regular_bootstrap() function offers a
 more traditional bootstrap approach, where users can determine the number of
 resamples. The e_vs_r() function allows users to directly compare results
 from these bootstrap methods. To augment user experience, 'exactamente'
 includes the function exactamente_app() which launches an interactive
 'shiny' web application. This application facilitates exploration and
 comparison of the bootstrap methods, providing options for modifying various
 parameters and visualizing results.

Package: r-cran-exactci
Architecture: all
Version: 1.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ssanv, r-cran-testthat
Suggests: r-cran-rmarkdown, r-cran-blakerci, r-cran-knitr, r-cran-exact2x2
Filename: pool/dists/focal/main/r-cran-exactci_1.4-4-1.ca2004.1_all.deb
Size: 212428
MD5sum: 1bbe6fce1006c8b45f1b6155f156290c
SHA1: d8c28c4fee738b80e95b99ad21a26facadafe3b3
SHA256: 8492b38b5e58014b16495f94dce175c970fb60447759f08c787c047a7a9b1ccf
SHA512: e16d82c85fdb1d1a80142e771e115dc59b5f2a8e5b81fb6a1454f29463bf4c37cb5e332275b0a19c7b3fe0792db52906f2aba85c0f26dec68968a57baed003b1
Homepage: https://cran.r-project.org/package=exactci
Description: CRAN Package 'exactci' (Exact P-Values and Matching Confidence Intervals for SimpleDiscrete Parametric Cases)
 Calculates exact tests and confidence intervals for one-sample binomial and
 one- or two-sample Poisson cases (see Fay (2010)
 <doi:10.32614/rj-2010-008>).

Package: r-cran-exactcidiff
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exactcidiff_2.1-1.ca2004.1_all.deb
Size: 55508
MD5sum: 352ad177b7eb491a57de66eeb3ce2a4b
SHA1: 9331ed02b897a37970191acb2fe3b0d4dca9a11f
SHA256: 4d2ebdb3a06e7f9272b3d27d1cf90fa302ffabf2d74ea416d080b5428e9b4b54
SHA512: 4ed2bb88b74e591a4f375a0a7b6e0e0a14f3d35332203475df69c70bea59d1336be3ec9db50282fa7921b46f57872db8de8e14f434a74a7307799643fa648b60
Homepage: https://cran.r-project.org/package=ExactCIdiff
Description: CRAN Package 'ExactCIdiff' (Inductive Confidence Intervals for the Difference Between TwoProportions)
 This is a package for exact Confidence Intervals for the difference between
 two independent or dependent proportions.

Package: r-cran-exactcione
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exactcione_1.0.5-1.ca2004.1_all.deb
Size: 100672
MD5sum: 0548107d0839d06562d7b05abec97b55
SHA1: ed5d161e31886f39d3011d13ee61d96404653fd6
SHA256: f97c105eb0af27e49d08b72facb6079034c5ffcc125c564bfa4df6d15f0d4644
SHA512: 8f51c80688d6ac07213efcb9ea0811f22f8b6fa5aa528664deef6e59c39af00c3e9bda9d58165809e30cccd49443e236ae86be59ca4a9ac2cf4ba6c46c2343bf
Homepage: https://cran.r-project.org/package=ExactCIone
Description: CRAN Package 'ExactCIone' (Admissible Exact Intervals for One-Dimensional DiscreteDistributions)
 Construct the admissible exact intervals for the binomial proportion, the
 Poisson mean and the total number of subjects with a certain attribute or
 the total number of the subjects for the hypergeometric distribution. Both
 one-sided and two-sided intervals are of interest. This package can be used
 to calculate the intervals constructed methods developed by Wang (2014)
 <doi:10.5705/ss.2012.257> and Wang (2015) <doi:10.1111/biom.12360>.

Package: r-cran-exactcox
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-biasedurn
Filename: pool/dists/focal/main/r-cran-exactcox_0.1.0-1.ca2004.1_all.deb
Size: 20688
MD5sum: 807567ea0aeb64caa42e6e59d354d5ed
SHA1: 9a28a3166d5402af93c76b9a5759cbc773ac917e
SHA256: c528b89f4f5cc65b766f1953eebf3d79304af21167abc12121f235baf657a918
SHA512: e23f54a4b475980206235cb4a35efbb18146101fd156f79cc59024140cb04666647c6b2faaab6f15634e8724678d0febdfe049e94779109d6dc17908499f3924
Homepage: https://cran.r-project.org/package=ExactCox
Description: CRAN Package 'ExactCox' (Exact Test and Exact Confidence Interval for the Cox Model)
 Performs the exact test on whether there is a difference between two
 survival curves.  Exact confidence interval for the hazard ratio can also be
 generated for the Cox model.

Package: r-cran-exactltre
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3367
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixcalc, r-cran-popdemo
Filename: pool/dists/focal/main/r-cran-exactltre_0.1.2-1.ca2004.1_all.deb
Size: 3263360
MD5sum: 92625b9506d71a8c6042383a0f3f0f45
SHA1: 1320328485a83cc779978659eefd2ae860e9d389
SHA256: 640fd18829b86c1dd445bc2bf62b74db343f3a16b8a9bf8f55e95ef7956aa6c6
SHA512: 8191aceb751867b25647d68fe09eb754185c970070031170abeeaf486f1add909fee180a5ea6a4a16ff268272e46f99124e4f1ea0e1b1c973fd060f9817306b3
Homepage: https://cran.r-project.org/package=exactLTRE
Description: CRAN Package 'exactLTRE' (An Exact Method for Life Table Response Experiment (LTRE)Analysis)
 Life Table Response Experiments (LTREs) are a method of comparative
 demographic analysis. The purpose is to quantify how the difference or
 variance in vital rates (stage-specific survival, growth, and fertility)
 among populations contributes to difference or variance in the population
 growth rate, "lambda." We provide functions for one-way fixed design and
 random design LTRE, using either the classical methods that have been in use
 for several decades, or an fANOVA-based exact method that directly
 calculates the impact on lambda of changes in matrix elements, for matrix
 elements and their interactions. The equations and descriptions for the
 classical methods of LTRE analysis can be found in Caswell (2001, ISBN:
 0878930965), and the fANOVA-based exact methods are described in Hernandez
 et al. (2023) <doi:10.1111/2041-210X.14065>. We also provide some
 demographic functions, including generation time from Bienvenu and Legendre
 (2015) <doi:10.1086/681104>. For implementation of exactLTRE where all
 possible interactions are calculated, we use an operator matrix presented in
 Poelwijk, Krishna, and Ranganathan (2016)
 <doi:10.1371/journal.pcbi.1004771>.

Package: r-cran-exactmed
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 609
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brglm2, r-cran-sandwich, r-cran-lmtest, r-cran-pkgcond, r-cran-mlogit, r-cran-dfidx, r-cran-nnet
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exactmed_0.3.0-1.ca2004.1_all.deb
Size: 278152
MD5sum: b286d7707d9bb317eca40a574d805936
SHA1: 33a6f18cbe3ed1a450f9629786a1d424c96d0a77
SHA256: c0fb7e9aba6c2305ad34adb915c4b7c804ea166fb639016e5c504fdfa0d64bbc
SHA512: eb272ecdc9e96d01b86bd751508ba98ca528940fd15db870d954363937e05b71d9d68feba2774853c1624abfcf7efcac94370d20a84717464d575bb8dfaa9c61
Homepage: https://cran.r-project.org/package=ExactMed
Description: CRAN Package 'ExactMed' (Exact Mediation Analysis for Binary Outcomes)
 A tool for conducting exact parametric regression-based causal mediation
 analysis of binary outcomes as described in Samoilenko, Blais and Lefebvre
 (2018) <doi:10.1353/obs.2018.0013>; Samoilenko, Lefebvre (2021)
 <doi:10.1093/aje/kwab055>; and Samoilenko, Lefebvre (2023)
 <doi:10.1002/sim.9621>.

Package: r-cran-exactmeta
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exactmeta_1.0-2-1.ca2004.1_all.deb
Size: 94188
MD5sum: d270c3d7a2e54606c9884882b8a9983a
SHA1: 295a957dfe96cf080aa9ffb4e7d3d5fb2977f6a7
SHA256: af0b8a82d0d22658b2d8c5a767e0ff4c133a3251fd2ae48fa9f204ff597905c2
SHA512: 0e9cb8721bc491722bc915d89819ae48ac71285b8218beb9109972483633987914a289c951b7b48a4b81719b7bb2ccdafb912a9b6b53f94132e936923be47360
Homepage: https://cran.r-project.org/package=exactmeta
Description: CRAN Package 'exactmeta' (Exact fixed effect meta analysis)
 Perform exact fixed effect meta analysis for rare events data without the
 need of artificial continuity correction.

Package: r-cran-exametrika
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1093
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-igraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exametrika_1.5.1-1.ca2004.1_all.deb
Size: 985484
MD5sum: c2ea055fa78fea5a0fad4a43b3f42f98
SHA1: b19df1fa172ed3168ed069f919aadd1096f4528c
SHA256: dad797b42fe456163089bfae043dfb3a4ee613800639f13e33a7e9e369649ede
SHA512: 1b72127b8e375720b3d06c6917a394b2e4311eb5211a974378692bf6d97eb3a67c0f170e719937c861d16f159b6419b4bb6815e2782780f2122eeeafb0be5be0
Homepage: https://cran.r-project.org/package=exametrika
Description: CRAN Package 'exametrika' (Test Theory Analysis and Biclustering)
 Implements comprehensive test data engineering methods as described in
 Shojima (2022, ISBN:978-9811699856). Provides statistical techniques for
 engineering and processing test data: Classical Test Theory (CTT) with
 reliability coefficients for continuous ability assessment; Item Response
 Theory (IRT) including Rasch, 2PL, and 3PL models with item/test information
 functions; Latent Class Analysis (LCA) for nominal clustering; Latent Rank
 Analysis (LRA) for ordinal clustering with automatic determination of
 cluster numbers; Biclustering methods including infinite relational models
 for simultaneous clustering of examinees and items without predefined
 cluster numbers; and Bayesian Network Models (BNM) for visualizing
 inter-item dependencies. Features local dependence analysis through LRA and
 biclustering, parameter estimation, dimensionality assessment, and network
 structure visualization for educational, psychological, and social science
 research.

Package: r-cran-exampadata
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2056
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exampadata_0.5.0-1.ca2004.1_all.deb
Size: 2032968
MD5sum: dfb01bc3bedd61e3d176cb838af306c2
SHA1: 528c84ae1700daddfcd4ab1eb71571e75479e0db
SHA256: d89eae0f67a13b40f903ac3838e04c40f706bb6a4afa2ede4fae0151779ea308
SHA512: 0d61617a56734a730f463403a2c66eb07b0843349a5e8345918153920dea065a935082ed2281412143391b14dff3da83a99180391ece8f9e5327f856cfb8d680
Homepage: https://cran.r-project.org/package=ExamPAData
Description: CRAN Package 'ExamPAData' (Data Sets for Predictive Analytics Exam)
 Contains all data sets for Exam PA: Predictive Analytics at
 <https://exampa.net/>.

Package: r-cran-exampletestr
Architecture: all
Version: 1.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-fs, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-roxygen2, r-cran-rstudioapi, r-cran-strex, r-cran-stringr, r-cran-styler, r-cran-usethis, r-cran-withr
Suggests: r-cran-clipr, r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-pacman, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exampletestr_1.7.3-1.ca2004.1_all.deb
Size: 69636
MD5sum: b22b84c0f2285b8d9f89c1e343a12fb9
SHA1: c200d8ece45101fdf73f5e1bcc00a7bf156a0f9d
SHA256: f5de55527f3a65c7044eb8d4f8069d9bec4dbdf37ae2b517a5a6c42caac8740a
SHA512: 2009dcfda25e8a1eb78bf70fce56e608be9e823d23c220a03411e91fc7240333fc6bc9b8c9a029ac9cc14f909f563593b579e894c9333d7707a9e2094007594d
Homepage: https://cran.r-project.org/package=exampletestr
Description: CRAN Package 'exampletestr' (Help for Writing Unit Tests Based on Function Examples)
 Take the examples written in your documentation of functions and use them to
 create shells (skeletons which must be manually completed by the user) of
 test files to be tested with the 'testthat' package. Sort of like python
 'doctests' for R.

Package: r-cran-exams.forge.data
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1758
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exams.forge.data_0.1.0-1.ca2004.1_all.deb
Size: 1710772
MD5sum: 9935bd22b5408d2719cb9433744d6419
SHA1: 9070e8b48c14f93d05b1b84b909b86654a961f00
SHA256: 89b5b0eb5d08f49dbbe52ad2271e1edd131a108a1350a85c7c31d10e5d9fcf5e
SHA512: 304cbf71628a07af27c6c4e6a6ad862cb4215b921014cc48913ff85cca429c79ae4062cbf3543b3a62465d716c12553edbaea07da472eef33a4b3f6044d26a6b
Homepage: https://cran.r-project.org/package=exams.forge.data
Description: CRAN Package 'exams.forge.data' (Precomputed Dataset Collection Used in 'exams.forge')
 The dataset collection supports Pearson correlation and linear regression
 analysis, with datasets for n=100,200,400,800,1000, where n is the sum of
 squared values in x.  Each dataset has x values summing to zero, with sample
 sizes (observations in x) ranging from 2 to 10. Additional data frames
 include variables with German names and measurement levels, and distribution
 details with R function names, LaTeX names, discreteness, and package
 origins.

Package: r-cran-exams.forge
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4222
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-polynom, r-cran-base64enc, r-cran-extradistr, r-cran-exams, r-cran-knitr, r-cran-mass, r-cran-magrittr, r-cran-psych, r-cran-rjson, r-cran-rstudioapi, r-cran-spelling, r-cran-stringdist, r-cran-stringr, r-cran-stranslate, r-cran-tinytex, r-cran-xml2, r-cran-xtable, r-cran-yaml
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exams.forge_1.0.10-1.ca2004.1_all.deb
Size: 3164508
MD5sum: 3ea1655d4651b95cce06962f3f4ed0a0
SHA1: ff98b9d8fc7b729434ff58223748967bd81b06c8
SHA256: 6a9ec7b01f32972c154fb3c6bebb051b390d0716d9cad6aedcd0456846f27d7b
SHA512: b45c8618c287c89259c0cd21cfae2a53b3c50f625033d4ac2a7974b7d82b588dab3148dd887ed2b8ecd9d4c2a5c95e142914f4d60628fc8517cfb87d0922bbc0
Homepage: https://cran.r-project.org/package=exams.forge
Description: CRAN Package 'exams.forge' (Support for Compiling Examination Tasks using the 'exams'Package)
 The main aim is to further facilitate the creation of exercises based on the
 package 'exams' by Grün, B., and Zeileis, A. (2009)
 <doi:10.18637/jss.v029.i10>. Creating effective student exercises involves
 challenges such as creating appropriate data sets and ensuring access to
 intermediate values for accurate explanation of solutions. The functionality
 includes the generation of univariate and bivariate data including simple
 time series, functions for theoretical distributions and their
 approximation, statistical and mathematical calculations for tasks in basic
 statistics courses as well as general tasks such as string manipulation,
 LaTeX/HTML formatting and the editing of XML task files for 'Moodle'.

Package: r-cran-exams.mylearn
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-exams, r-cran-glue, r-cran-stringr, r-cran-pkgbuild, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exams.mylearn_1.4-1.ca2004.1_all.deb
Size: 41000
MD5sum: e76de0a32e8dc2b1a431374897fecc0e
SHA1: 356a0a8c0090641c7bec732da4925c89400b7155
SHA256: f7b22a5a4d0684200cf985c2b11d4e0108a21ef29b624d5460aa97e05b74f608
SHA512: d683eb4c214f92f3d091c5e94e458d5adf62c18c741b7948e5a4e2cfdf2559ac05f120a2f9276ca0f9af16ae21a2370530329b9a0725b4723e84914d5f931cec
Homepage: https://cran.r-project.org/package=exams.mylearn
Description: CRAN Package 'exams.mylearn' (Question Generation in the 'MyLearn' XML Format)
 Randomized multiple-select and single-select question generation for the
 'MyLearn' teaching and learning platform. Question templates in the form of
 the R/exams package (see <http://www.r-exams.org/>) are transformed into XML
 format required by 'MyLearn'.

Package: r-cran-exams2forms
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3715
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-exams, r-cran-base64enc, r-cran-digest, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-xfun
Filename: pool/dists/focal/main/r-cran-exams2forms_0.2-0-1.ca2004.1_all.deb
Size: 424276
MD5sum: 7e7e0377d6dde58518298e2fcd53f670
SHA1: a14f41a59265473fc76630f4cbcfa1944e7eb99e
SHA256: 8c8674c36b6306b049c978e32652aedd0698b9775c01a8fde4f480667a3fc9b0
SHA512: c47480905a4bc74f2970126bb10635d156f15961a964f3cfe7313847c964d199859bbe63391ccfb775aee16fbee14905f6c1b631ad779f9dd97c9e85c3432b1f
Homepage: https://cran.r-project.org/package=exams2forms
Description: CRAN Package 'exams2forms' (Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto'Documents)
 Automatic generation of quizzes or individual questions as (interactive)
 forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.

Package: r-cran-exams2learnr
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-exams, r-cran-knitr, r-cran-learnr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exams2learnr_0.1-0-1.ca2004.1_all.deb
Size: 429180
MD5sum: 16e93a3c55328dc601847ceb603fd942
SHA1: 9c1e12fe89e30c70197bf5cf40da0be0d72f78f6
SHA256: 2e6285c52a1c33951d51c56eff96e32fd79b50c537dd67bacf3701ad5d4c049d
SHA512: 06883f0743698a45dea380ebfe39de98c13a7c5ca9a7113f269c9e47fbf9400a329c6f4f8b080c391798930dd80e497df413b67ca1c5a482735efb31cb5acd90
Homepage: https://cran.r-project.org/package=exams2learnr
Description: CRAN Package 'exams2learnr' (Interface for 'exams' Exercises in 'learnr' Tutorials)
 Automatic generation of quizzes or individual questions for 'learnr'
 tutorials based on 'R/exams' exercises.

Package: r-cran-exams2sakai
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-exams, r-cran-glue, r-cran-stringr, r-cran-stringi, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exams2sakai_0.4-1.ca2004.1_all.deb
Size: 68040
MD5sum: 6adbc27df743516986555d9901c3bec5
SHA1: 4727b69626158210b5b11202b0478be66dca172b
SHA256: fbb8ff1d2faf7ff361df419d4c8de7ed9bafd0195846cc70af6f662e7b7ee06a
SHA512: e6c7d6423b4c56b9fdadef474ff5e4a14ca517e332eb4fefd6f371a4b0841b7b6426561e30e854ab1349fbb596f667bde5c60a6fb866c55b65428f2f14db11c7
Homepage: https://cran.r-project.org/package=exams2sakai
Description: CRAN Package 'exams2sakai' (Automatic Generation of Exams in R for 'Sakai')
 Automatic Generation of Exams in R for 'Sakai'.  Question templates in the
 form of the 'exams' package (see <https://www.r-exams.org/>) are transformed
 into XML format required by 'Sakai'.

Package: r-cran-exams
Architecture: all
Version: 2.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3012
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-clipr, r-cran-magick, r-cran-openxlsx, r-cran-png, r-cran-qpdf, r-cran-rcurl, r-cran-rjsonio, r-cran-tinytex, r-cran-tth, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-exams_2.4-2-1.ca2004.1_all.deb
Size: 2120884
MD5sum: dc7ea8c1b49daa9e458187abd2ace359
SHA1: 7e9e7d9fdcc56ed832840bd3c1113d5d5183398d
SHA256: 968c33db8bedc1ab6e1e1d1db5e27b1b5a80db88c571ecc37cd2ce75b0a4a901
SHA512: efde9cc6555bbe79e62062c361f01b49a2b005c306488b77c05ab5aca3fc2765383d5faf966cbbb950b46c11a32c983224894f82fe385bfba396947152c16ba0
Homepage: https://cran.r-project.org/package=exams
Description: CRAN Package 'exams' (Automatic Generation of Exams in R)
 Automatic generation of exams based on exercises in Markdown or LaTeX
 format, possibly including R code for dynamic generation of exercise
 elements.  Exercise types include single-choice and multiple-choice
 questions, arithmetic problems, string questions, and combinations thereof
 (cloze). Output formats include standalone files (PDF, HTML, Docx, ODT,
 ...), Moodle XML, QTI 1.2, QTI 2.1, Blackboard, Canvas, OpenOlat, ILIAS,
 TestVision, Particify, ARSnova, Kahoot!, Grasple, and TCExam. In addition to
 fully customizable PDF exams, a standardized PDF format (NOPS) is provided
 that can be printed, scanned, and automatically evaluated.

Package: r-cran-exceedancetools
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-splancs, r-cran-spatialtools, r-cran-matrixstats
Suggests: r-cran-spbayes
Filename: pool/dists/focal/main/r-cran-exceedancetools_1.3.6-1.ca2004.1_all.deb
Size: 64624
MD5sum: 5b14234fc94af1cf3e6310b43d394cca
SHA1: 9be1584a689710197a913152caaf6f8ff156fbeb
SHA256: 80bdc52d43bebfbf65499da8e1e285f65eea06dcd7bd1f4f21044b7acf2093c3
SHA512: 4a20dfb2ee0b62477b4d394628f9e525c6572c890d78de6c661267ccfc0d2a97f71307b513cddbd4cf166f75395ce0f1c2cb2da24cb452e8df43f5362b2c0f82
Homepage: https://cran.r-project.org/package=ExceedanceTools
Description: CRAN Package 'ExceedanceTools' (Confidence/Credible Regions for Exceedance Sets and ContourLines)
 Provides methods for constructing confidence or credible regions for
 exceedance sets and contour lines.

Package: r-cran-excel2eprime
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-readxl, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-excel2eprime_0.4.0-1.ca2004.1_all.deb
Size: 98488
MD5sum: 9e6b1a1462e7beaf67dec870a5530851
SHA1: da1f6a04df0e37c112cd9a4bd37b94cb0666211a
SHA256: 91e00fdcc767cd4d6a91b7c52dbd68b3a50735880a627f7045284741850ce640
SHA512: 42f48cdf0f16f0d183f22f360bb9ba6f77135a5ca4582f2474fa7a8924971160179e5c4155a17548835e63d7299c8c624502b747d1d61a7c313801b33421509e
Homepage: https://cran.r-project.org/package=excel2eprime
Description: CRAN Package 'excel2eprime' (Split Sentences by Factors)
 Split experiment sentences by different experiment design given by the user
 and the result can be used in 'E-prime'
 (<https://pstnet.com/products/e-prime/>).

Package: r-cran-exceldata
Architecture: all
Version: 0.1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-readxl, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exceldata_0.1.1.3-1.ca2004.1_all.deb
Size: 120428
MD5sum: 58de0349ccd2b40693cb58eb48456922
SHA1: 7ba836563a593868b64907455e66162cb4951865
SHA256: 12cfd926ebac561dd7b387e0b9cc22cafa2be2abc4e07a0568de0d2438a8f4bf
SHA512: 15b240d6a1aa0d28ad05b102fe1ff9cb84525e7e02cdb57ebcb8c0c2999c5babae6ec42a7d4ce10e5d5896a5eece4cc3246b1b0d69065affd047c342dd904cde
Homepage: https://cran.r-project.org/package=exceldata
Description: CRAN Package 'exceldata' (Streamline Data Import, Cleaning and Recoding from 'Excel')
 A small group of functions to read in a data dictionary and the
 corresponding data table from 'Excel' and to automate the cleaning,
 re-coding and creation of simple calculated variables. This package was
 designed to be a companion to the macro-enabled 'Excel' template available
 on the GitHub site, but works with any similarly-formatted 'Excel' data.

Package: r-cran-excelfunctionsr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-tidyr, r-cran-lubridate, r-cran-roperators, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-excelfunctionsr_0.1.4-1.ca2004.1_all.deb
Size: 132660
MD5sum: 8b99254276180a63ba982fd66de5a5f5
SHA1: 3bb450ff0ff2c501bd65e4eccfe3b9078b77c4af
SHA256: 8d768cc4c9c08b59236f62e67f63986fa933995a917c5f3756c67fbbd67a93f5
SHA512: af8c4b9a8da6c41f5473458769081a487e42c20d28bf53a3a3efdd1e8bbac8faa0fbbc3014a6309d29889a33e35e81db76c4fbc2f35e2aec42c927f5ab159f49
Homepage: https://cran.r-project.org/package=ExcelFunctionsR
Description: CRAN Package 'ExcelFunctionsR' (Imports Excel Functions to R)
 Implements 'Excel' functions in 'R' for your calculation simplicity.You can
 use most of the aggregate functions, addressing functions,logical functions
 and text functions. Helps you a ton in learning how 'R' works as some
 'Excel' users might be struggling with the program.

Package: r-cran-excelr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1377
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-shiny, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-excelr_0.4.0-1.ca2004.1_all.deb
Size: 417016
MD5sum: cd7f29b692198765dd287db7c7fac792
SHA1: e5429ea6d864be1e7c11bd07923b6983c8a5d55d
SHA256: 4bd01b8c7c8799b7ea260e2efcad1cfa70dde8b0b85c12c80d37873207b74b5b
SHA512: b753022fa41f2a502c468f69e541520e785693e27772e0662c2417f66e4f4c915c730c67e9a993507c01afe1cf0c3bbb2be0eaba3bd6549507ea4909ac9740fe
Homepage: https://cran.r-project.org/package=excelR
Description: CRAN Package 'excelR' (A Wrapper of the 'JavaScript' Library 'jExcel')
 An R interface to 'jExcel' library to create web-based interactive tables
 and spreadsheets compatible with 'Excel' or any other spreadsheet software.

Package: r-cran-excelstrippr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-excelstrippr_0.1.2-1.ca2004.1_all.deb
Size: 18944
MD5sum: aaa7c480a1fc9dede5f458ce0fce46df
SHA1: 4318da50f694bedea691ec4b0d5d46a190017517
SHA256: 702780f31cb3c7832501d672b9a5acb60cc55693ea72018600481290debd6597
SHA512: 7f5e52b023bf57b7c43b0401fded72606a3a5dee0a1735d6a4e4a19e7db80ff6a5327611e1af61fda863cb7f7c4f844fb9e2f93a47f0c73d731a24314d4e31c8
Homepage: https://cran.r-project.org/package=excelstrippr
Description: CRAN Package 'excelstrippr' (Extracts Tabular Data from Excel Reports)
 Removes metadata and summary formatting from Excel reports, so that data
 from those reports can more easily be loaded into R. Currently works with
 .xlsx and .xls format files.

Package: r-cran-excerptr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-runit, r-cran-pkgload, r-cran-rprojroot
Filename: pool/dists/focal/main/r-cran-excerptr_2.0.1-1.ca2004.1_all.deb
Size: 39176
MD5sum: 977f9905ae3f3e7263ff2a8e4742fcb8
SHA1: b47fac2a7b41086f7246e8e36bb261e49ab24c60
SHA256: 9091d46fdfbe286df21a2d15cd62c9ef7ba8a6984b09f5ca76048d00a3259fea
SHA512: 6c537b3ba92b5455eb9741c5a160f0a11bb1b4da0179f458293f1d29169fc4a8719e0dcbe96beb9b6b064f1343dc93bcec72612ab7db2e878cf4f1f53192bd3c
Homepage: https://cran.r-project.org/package=excerptr
Description: CRAN Package 'excerptr' (Excerpt Structuring Comments from Your Code File and Set a Tableof Contents)
 This is an R interface to the python package 'excerpts'
 (<https://pypi.org/project/excerpts/>).

Package: r-cran-excessmass
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-excessmass_1.0.1-1.ca2004.1_all.deb
Size: 58324
MD5sum: e5513bdf8030644f3557ee8b69b188b3
SHA1: e5dd34c2a696f54db5a77e1c26c1bb0b9b058c88
SHA256: 79882820d8c159131be7fb671e683a04190393b3b0eb70377c0562518059efce
SHA512: da5645330f6f96a2dff258eee16b857bc48b1cc971f23ea0d8ca401ac544e3edc2702d5dcb71e501013c014acf23af81161dd8cff95d46026d9489cae70b386b
Homepage: https://cran.r-project.org/package=ExcessMass
Description: CRAN Package 'ExcessMass' (Excess Mass Calculation and Plots)
 Implementation of a function which calculates the empirical excess mass for
 given \eqn{\lambda} and given maximal number of modes (excessm()). Offering
 powerful plot features to visualize empirical excess mass (exmplot()). This
 includes the possibility of drawing several plots (with different maximal
 number of modes / cut off values) in a single graph.

Package: r-cran-excessmort
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3086
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-lubridate, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-tidycensus, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-excessmort_0.8.1-1.ca2004.1_all.deb
Size: 2903588
MD5sum: 7282533af972d5b132a21ea188212ae5
SHA1: b14bc4053820e6ad56c8e727662d552ceb4a1335
SHA256: 8e9d92ad8017f210257bfe2f9518b4aa0fd2ee8c87ac58a16f5dfede159b78d4
SHA512: 965f68624f5bf9dea247a8e975047caa5fa3413f2c335af522f09de6f638875dfc0cb05bd3f30ef1547d0cbacdde41f3601e7c8199ca1ffe594a8c23e6664377
Homepage: https://cran.r-project.org/package=excessmort
Description: CRAN Package 'excessmort' (Excess Mortality)
 Implementation of method for estimating excess mortality and other health
 related outcomes from weekly or daily count data described in Acosta and
 Irizarry (2021) "A Flexible Statistical Framework for Estimating Excess
 Mortality".

Package: r-cran-excluder
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-ipaddress, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-maps, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-lifecycle, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-excluder_0.5.2-1.ca2004.1_all.deb
Size: 250312
MD5sum: e7192821987cff0913f7874d86c634b7
SHA1: 62c18605b5ba4f8f648d9fe951462769b260e9df
SHA256: 49fe7d7de7a79ad2c8a760fde2509317f75ca4a11f9fa31f125349a5cd54f3d4
SHA512: 12c445c523e8515562c9776383a4c19ffbf9f1740256c48d190bfeaac366d8143b001bc469ddba64ea8e2674c2f4a6d7fb950a50e60c100390f7edb86d9c7e35
Homepage: https://cran.r-project.org/package=excluder
Description: CRAN Package 'excluder' (Checks for Exclusion Criteria in Online Data)
 Data that are collected through online sources such as Mechanical Turk may
 require excluding rows because of IP address duplication, geolocation, or
 completion duration. This package facilitates exclusion of these data for
 Qualtrics datasets.

Package: r-cran-exclusiontable
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-nhanes, r-cran-remotes, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exclusiontable_1.2.0-1.ca2004.1_all.deb
Size: 30660
MD5sum: 9e5b669e676c3a8bd9112d9e232e2a51
SHA1: 2e530b3a88f02fe8c7f157495ed93666a10d1ed2
SHA256: c30dc4aa8d7c698d1f50fa6318171463b26917ca5adba8ba4b3ead5cb4d43e15
SHA512: e9d35ae9e85481e4eb6b3d0958bff64c4bc98e834bc4ba99293c87752401fe7773fdb7573c05f3d5ef2645d746f45692bd5ed95cd1769926f89558cc9ea03a63
Homepage: https://cran.r-project.org/package=ExclusionTable
Description: CRAN Package 'ExclusionTable' (Creating Tables of Excluded Observations)
 Instead of counting observations before and after a subset() call, the
 ExclusionTable() function reports the number before and after each subset()
 call together with the number of observations that have been excluded. This
 is especially useful in observational studies for keeping track how many
 observations have been excluded for each in-/ or exclusion criteria. You
 just need to provide ExclusionTable() with a dataset and a list of logical
 filter statements.

Package: r-cran-excon
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-js
Filename: pool/dists/focal/main/r-cran-excon_0.2.5-1.ca2004.1_all.deb
Size: 32264
MD5sum: 6381703a72cd7897656218038e51d4de
SHA1: f7a02fc2e66b7fc5a550ecfe117621e0af6ac577
SHA256: 2a112a16b15aebd2a3c51e93751d60a47d1d1f4f42e65302f1d2a115e3841089
SHA512: 3a032aa15c15429c5941e41e8a89cfc4b41a433b9b804a1cff68891287395652bd3202b67298b368b2e3a1354b1476791865988d817d2b83b71e36e284ed3b23
Homepage: https://cran.r-project.org/package=exCon
Description: CRAN Package 'exCon' (Interactive Exploration of Contour Data)
 Interactive tools to explore topographic-like data sets.  Such data sets
 take the form of a matrix in which the rows and columns provide
 location/frequency information, and the matrix elements contain
 altitude/response information.  Such data is found in cartography, 2D
 spectroscopy and chemometrics.  The functions in this package create
 interactive web pages showing the contoured data, possibly with slices from
 the original matrix parallel to each dimension. The interactive behavior is
 created using the 'D3.js' 'JavaScript' library by Mike Bostock.

Package: r-cran-exde
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 962
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desolve, r-cran-expm, r-cran-mass
Suggests: r-cran-ggplot2, r-cran-data.table, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exde_1.0.0-1.ca2004.1_all.deb
Size: 467940
MD5sum: 2aa3c36c89d814f78cdf2f031e32b102
SHA1: c1b4077bb9c2e6eaebce24d8f7aef93e58df1e54
SHA256: 1c9649b658f18cf0c12fca4027eb08787239c62dce6502b91a1fff1ba3033bf7
SHA512: 038592140fddeaf2dd18c98604e3422d40b4b53b79c4070f8c1ac039d7d580e6f531133e819b370c39a77a2d8b8135905b5e0d7256e8019a7539318e5891d2f1
Homepage: https://cran.r-project.org/package=exDE
Description: CRAN Package 'exDE' (Extensible Differential Equations for Mosquito-Borne PathogenModeling)
 Provides tools to set up modular ordinary and delay differential equation
 models for mosquito-borne pathogens, focusing on malaria. Modular design is
 achieved by S3 dispatch on parameter lists for each component which is used
 to compute the full set of differential equations which may be solved using
 any of the packages for numerical simulation of differential equations in R.
 The methods implemented by this package are described in Wu et al. (2022)
 <doi:10.1101/2022.11.07.22282044>.

Package: r-cran-exdqlm
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dlm, r-cran-coda, r-cran-tictoc, r-cran-magic, r-cran-crch, r-cran-truncnorm, r-cran-hyperbolicdist, r-cran-generalizedhyperbolic, r-cran-brms, r-cran-fnn, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-exdqlm_0.1.3-1.ca2004.1_all.deb
Size: 405892
MD5sum: eeabb811591d5dffaa4a45e495635995
SHA1: d99e1d59ad45c552072e838de2c558108d0a7348
SHA256: a73568a2c5322c27deb3149bc2b3e881f510d7eb0405b1bc8f41a8367555efcf
SHA512: ea426de1fe4b90c97241e79f32a907470b61f397b68bc03b8c1aeb8e1f5940a7b2888029533d122ac4ea2ec9d35101cdd91546d062ff1e00b5eb247282e36df2
Homepage: https://cran.r-project.org/package=exdqlm
Description: CRAN Package 'exdqlm' (Extended Dynamic Quantile Linear Models)
 Routines for Bayesian estimation and analysis of dynamic quantile linear
 models utilizing the extended asymmetric Laplace error distribution, also
 known as extended dynamic quantile linear models (exDQLM) described in
 Barata et al (2020) <doi:10.1214/21-AOAS1497>.

Package: r-cran-executablepacker
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-automagic, r-cran-cli, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-executablepacker_0.0.2-1.ca2004.1_all.deb
Size: 47484
MD5sum: 88775becb9e07d0561601d305f7ac13c
SHA1: 1518edcdf9ccc0089b3e428aec35614f3f81ae27
SHA256: 3a021c0b9e66abcd0b04f1bfea57db5725a4c7d8cc10790de1cc1b278f22bcfc
SHA512: 351a107f62dbc6e033fc4d72d5b3c8ac5ff674d2c8232363dc99dff2bab549b69d39c59d91178aef8adda7befe7160398b033add34486907150f519328c4efda
Homepage: https://cran.r-project.org/package=executablePackeR
Description: CRAN Package 'executablePackeR' (Make 'shiny' App to Executable Program)
 Make your 'shiny' application as executable program.  Users do not need to
 install 'R' and 'shiny' on their system.

Package: r-cran-exgaussestim
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-nloptr, r-cran-invgamma, r-cran-dlm, r-cran-fitdistrplus, r-cran-gamlss.dist
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exgaussestim_0.1.2-1.ca2004.1_all.deb
Size: 33840
MD5sum: 06257eb792d89d78b89054f82e9ceb2f
SHA1: ae074064e1d4c094cef17de93a92f91d71918345
SHA256: 813f9b49e0f141d469ca0a0be0db17cb94cff3fd1326440c67bc406f4c122076
SHA512: 1cdd0d05d951473f0459ab7b34fa0b6863b58975a31ec230be8ced4836740aa2e90cd246ab54b4f7583e08360a1803c700ec2830fb0f137b37e00fca8ef531ef
Homepage: https://cran.r-project.org/package=ExGaussEstim
Description: CRAN Package 'ExGaussEstim' (Quantile Maximization Likelihood Estimation and BayesianEx-Gaussian Estimation)
 Presents two methods to estimate the parameters 'mu', 'sigma', and 'tau' of
 an ex-Gaussian distribution. Those methods are Quantile Maximization
 Likelihood Estimation ('QMLE') and Bayesian. The 'QMLE' method allows a
 choice between three different estimation algorithms for these parameters :
 'neldermead' ('NEMD'), 'fminsearch' ('FMIN'), and 'nlminb' ('NLMI'). For
 more details about the methods you can refer at the following list: Brown,
 S., & Heathcote, A. (2003) <doi:10.3758/BF03195527>; McCormack, P. D., &
 Wright, N. M. (1964) <doi:10.1037/h0083285>; Van Zandt, T. (2000)
 <doi:10.3758/BF03214357>; El Haj, A., Slaoui, Y., Solier, C., & Perret, C.
 (2021) <doi:10.19139/soic-2310-5070-1251>; Gilks, W. R., Best, N. G., & Tan,
 K. K. C. (1995) <doi:10.2307/2986138>.

Package: r-cran-exhaustiverasch
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-erm, r-cran-psychotree, r-cran-psych, r-cran-tictoc, r-cran-psychotools, r-cran-pairwise, r-cran-arrangements, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exhaustiverasch_0.3.7-1.ca2004.1_all.deb
Size: 253044
MD5sum: e057a12f535ea9b90ca43d5f9e2becaf
SHA1: f2ee62589130412bd283f2374271d5a3cfaa95e7
SHA256: d0b5e6c109c2b4c745b4a1ccee08edb882088e5ce9ba5eafd8f5b549daade22f
SHA512: 7f75b083ed38fdf938a7fb326fae5cfa0b41f5a536e973caa2c894273b5ab3940c1c2cc3e92c8e6fc163d4ea1ffa52d2521f519b11c1304f44310230391b40e9
Homepage: https://cran.r-project.org/package=exhaustiveRasch
Description: CRAN Package 'exhaustiveRasch' (Item Selection and Exhaustive Search for Rasch Models)
 Automation of the item selection processes for Rasch scales by means of
 exhaustive search for suitable Rasch models (dichotomous, partial credit,
 rating-scale) in a list of item-combinations. The item-combinations to test
 can be either all possible combinations or item-combinations can be defined
 by several rules (forced inclusion of specific items, exclusion of
 combinations, minimum/maximum items of a subset of items). Tests for model
 fit and item fit include ordering of the thresholds, item fit-indices,
 likelihood ratio test, Martin-Löf test, Wald-like test, person-item
 distribution, person separation index, principal components of Rasch
 residuals, empirical representation of all raw scores or Rasch trees for
 detecting differential item functioning. The tests, their ordering and their
 parameters can be defined by the user. For parameter estimation and model
 tests, functions of the packages 'eRm', 'psychotools' or 'pairwise' can be
 used.

Package: r-cran-exifr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 14134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-plyr, r-cran-tibble, r-cran-jsonlite, r-cran-rappdirs
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-exifr_0.3.2-1.ca2004.1_all.deb
Size: 2053536
MD5sum: dbc0aefbc79a92d00ceb140a55897ee1
SHA1: ba14e2963c2de5d18044383d8756038e4ebe2636
SHA256: bf015f4dccf5c9b7c4809bad3429c648b022de5b263fca2cb9c2da963e80d7f2
SHA512: 26457c2f0bb34ae37015214e4f1a6fcd77905a3459d71a50275d043ca7c8cb0970c0822c9b9948dd83d666b93c779addd7db3e7ff10eaa9a340f500aebcce751
Homepage: https://cran.r-project.org/package=exifr
Description: CRAN Package 'exifr' (EXIF Image Data in R)
 Reads EXIF data using ExifTool <https://exiftool.org> and returns results as
 a data frame.  ExifTool is a platform-independent Perl library plus a
 command-line application for reading, writing and editing meta information
 in a wide variety of files. ExifTool supports many different metadata
 formats including EXIF, GPS, IPTC, XMP, JFIF, GeoTIFF, ICC Profile,
 Photoshop IRB, FlashPix, AFCP and ID3, as well as the maker notes of many
 digital cameras by Canon, Casio, FLIR, FujiFilm, GE, HP, JVC/Victor, Kodak,
 Leaf, Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson,
 Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo,
 Sigma/Foveon and Sony.

Package: r-cran-exiftoolr
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1861
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-curl, r-cran-jsonlite, r-cran-zip, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-exiftoolr_0.2.8-1.ca2004.1_all.deb
Size: 1832364
MD5sum: f55217996078e7d06c667ebbc36c2905
SHA1: acde7590ca3a3ce92f3a2837334d8121f2fec8cd
SHA256: c80d31d774a25cf7be11022de350fb9720cd7c1396f90ab9ace7b1ecb15f3924
SHA512: 334e36591f5dadfcde5476d4bcdd4ef0823cf81ccc3a18aabe751aafa173f075bbc7da870abbab41b745b6e5d2d86d715168b3622070d54a2964fedc39b45593
Homepage: https://cran.r-project.org/package=exiftoolr
Description: CRAN Package 'exiftoolr' (ExifTool Functionality from R)
 Reads, writes, and edits EXIF and other file metadata using ExifTool
 <https://exiftool.org/>, returning read results as a data frame. ExifTool
 supports many different metadata formats including EXIF, GPS, IPTC, XMP,
 JFIF, GeoTIFF, ICC Profile, Photoshop IRB, FlashPix, AFCP and ID3, Lyrics3,
 as well as the maker notes of many digital cameras by Canon, Casio, DJI,
 FLIR, FujiFilm, GE, GoPro, HP, JVC/Victor, Kodak, Leaf,
 Minolta/Konica-Minolta, Motorola, Nikon, Nintendo, Olympus/Epson,
 Panasonic/Leica, Pentax/Asahi, Phase One, Reconyx, Ricoh, Samsung, Sanyo,
 Sigma/Foveon and Sony.

Package: r-cran-exnruleensemble
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-exnruleensemble_0.1.1-1.ca2004.1_all.deb
Size: 26072
MD5sum: 26a07b268d6184cc4b79eeb6df4a9fbc
SHA1: 0dcf38668109f427a2e33a4a67e832e5cbc5fc02
SHA256: 782b0e159434706e6f9d3da26d1751905fe4f991ac41af4e8bae4dc386da4e77
SHA512: 5f93495ef9f986a2d3485ded7bd3f3804174ea644bc61eb75316b1677678fb188ec29fdab7cc0333fc3d9a8f84ef3d446dcd0266643aa7d47e19fa7107167686
Homepage: https://cran.r-project.org/package=ExNRuleEnsemble
Description: CRAN Package 'ExNRuleEnsemble' (A k Nearest Neibour Ensemble Based on Extended NeighbourhoodRule)
 The extended neighbourhood rule for the k nearest neighbour ensemble where
 the neighbours are determined in k steps. Starting from the first nearest
 observation of the test point, the algorithm identifies a single observation
 that is closest to the observation at the previous step. At each base
 learner in the ensemble, this search is extended to k steps on a random
 bootstrap sample with a random subset of features selected from the feature
 space. The final predicted class of the test point is determined by using a
 majority vote in the predicted classes given by all base models. Amjad Ali,
 Muhammad Hamraz, Naz Gul, Dost Muhammad Khan, Saeed Aldahmani, Zardad Khan
 (2022) <doi:10.48550/arXiv.2205.15111>.

Package: r-cran-exoplanets
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2005
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-httr, r-cran-memoise, r-cran-readr, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exoplanets_0.2.2-1.ca2004.1_all.deb
Size: 1658656
MD5sum: 6b94dbe862da000efe8d8d93b199f6f7
SHA1: 9ee6012d0bd4057590699ad9597df791946b5efa
SHA256: 820982f223fb8ee8e955931373b4537257fde26409bf7c4d8662e7e6dbcb1451
SHA512: 93ee23cd6ca0e30b714196a281ca90c90cdf6d4b5d78286a2698cae322c37e479363a18fcbb423112844b783e56c573c9e5fe2f2e596534bcccaf26a47ec66cd
Homepage: https://cran.r-project.org/package=exoplanets
Description: CRAN Package 'exoplanets' (Access NASA's Exoplanet Archive Data)
 The goal of exoplanets is to provide access to NASA's Exoplanet Archive TAP
 Service. For more information regarding the API please read the
 documentation <https://exoplanetarchive.ipac.caltech.edu/index.html>.

Package: r-cran-exp2flux
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil, r-bioc-gage, r-cran-igraph
Suggests: r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-exp2flux_0.1-1.ca2004.1_all.deb
Size: 28172
MD5sum: fc5d82699f2a99c45e8de0202e4e4683
SHA1: e505c3ce940b6ef8f199a6c5807428743ebf45aa
SHA256: a93f17bbdff12295e36d8ad9e1ddc792b9e9375497bf8c8da0420f6f688f0d70
SHA512: 6ecabb625a153a6e8e990339aaa91cbbcc0f922957cb61a512b38a77cc56009d1876324a0f4dea51d72571d44db69750a91e1e40e4c991fa0a9e2ddcc581438b
Homepage: https://cran.r-project.org/package=exp2flux
Description: CRAN Package 'exp2flux' (Convert Gene EXPression Data to FBA FLUXes)
 For a given metabolic model with well formed Gene-Protein-Reaction (GPR)
 associations and an expressionSet with their associated gene expression
 values, this package converts gene expression values to the FBA boundaries
 for each reaction based in the boolean rules described in its associated
 GPR.

Package: r-cran-expanalysis3d
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-fields, r-cran-magrittr, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-expanalysis3d_0.1.2-1.ca2004.1_all.deb
Size: 140856
MD5sum: 7dec7aa24ac15032c6214ce8a49b7e83
SHA1: c17925b982ff1b886b6e9e7807663f4d8b9cddfd
SHA256: 695dddaa8dfc3793c2b89a9fc4c0ab1de3c67403fa345fe3e60158dd4f0b3070
SHA512: fe5e3436ada6818117feaafdc3405b0ff52832c83ecb3ea542b968a37da0bef7c59bbec1512cf17ec24681413865017ec7332f68cc3eae979c47779e96f3bef4
Homepage: https://cran.r-project.org/package=ExpAnalysis3d
Description: CRAN Package 'ExpAnalysis3d' (Pacote Para Analise De Experimentos Com Graficos De SuperficieResposta)
 Pacote para a analise de experimentos havendo duas variaveis explicativas
 quantitativas e uma variavel dependente quantitativa. Os experimentos podem
 ser sem repeticoes ou com delineamento estatistico.  Sao ajustados 12
 modelos de regressao multipla e plotados graficos de superficie resposta
 (Hair JF, 2016) <ISBN:13:978-0138132637>.(Package for the analysis of
 experiments having two explanatory quantitative variables and one
 quantitative dependent variable. The experiments can be without repetitions
 or with a statistical design. Twelve multiple regression models are fitted
 and response surface graphs are plotted (Hair JF, 2016)
 <ISBN:13:978-0138132637>).

Package: r-cran-expandar
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4653
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-corrplot, r-cran-multiwayvcov, r-cran-lmtest, r-cran-plm, r-cran-stargazer, r-cran-scales, r-cran-shiny, r-cran-dt, r-cran-openssl, r-cran-tictoc, r-cran-shinycssloaders, r-cran-kableextra, r-cran-rio, r-cran-zip, r-cran-rlang
Suggests: r-cran-gapminder, r-cran-rmarkdown, r-cran-htmltools, r-cran-knitr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-expandar_0.5.3-1.ca2004.1_all.deb
Size: 3330216
MD5sum: ac415fd1bec3111d9154b1bd6bd0a873
SHA1: 1e3d45968232991d71462d09a043fe6c70c1caf6
SHA256: 7f883eeb64043ba6fcc66e6a1a6de9fb72e0d905c409168276e5271c2f5561d3
SHA512: 098a7b0c72835decff46729cb63635e4c6dcbdfbd25ec44b4d5583de45c19033439e35e6cb09a01045d61fa80c3dc1dfef0579cc7dc3814a5931485162ad32f5
Homepage: https://cran.r-project.org/package=ExPanDaR
Description: CRAN Package 'ExPanDaR' (Explore Your Data Interactively)
 Provides a shiny-based front end (the 'ExPanD' app) and a set of functions
 for exploratory data analysis. Run as a web-based app, 'ExPanD' enables
 users to assess the robustness of empirical evidence without providing them
 access to the underlying data. You can export a notebook containing the
 analysis of 'ExPanD' and/or use the functions of the package to support your
 exploratory data analysis workflow. Refer to the vignettes of the package
 for more information on how to use 'ExPanD' and/or the functions of this
 package.

Package: r-cran-expandfunctions
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-orthopolynom, r-cran-polynom, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-expandfunctions_0.1.0-1.ca2004.1_all.deb
Size: 74924
MD5sum: e365dc3e3724c55155f31f2d653ab6dc
SHA1: b9e9a604dd8a5d03c191d573777a91b053b5c415
SHA256: 46abd092de6e23287b150f6ed3ad0937c5ee0c1fd0d85ce7feaa459c2dc93921
SHA512: 3f023bb513350c0ad28d908b47a7cdff5c456ee4149d34c02196538e564de0f90abdab7585406121eeba319944ade8eaeaaf09ae511e94ea11b60a59c8f48716
Homepage: https://cran.r-project.org/package=expandFunctions
Description: CRAN Package 'expandFunctions' (Feature Matrix Builder)
 Generates feature matrix outputs from R object inputs using a variety of
 expansion functions.  The generated feature matrices have applications as
 inputs for a variety of machine learning algorithms.  The expansion
 functions are based on coercing the input to a matrix, treating the columns
 as features and converting individual columns or combinations into blocks of
 columns.  Currently these include expansion of columns by efficient sparse
 embedding by vectors of lags, quadratic expansion into squares and unique
 products, powers by vectors of degree, vectors of orthogonal polynomials
 functions, and block random affine projection transformations (RAPTs).  The
 transformations are magrittr- and cbind-friendly, and can be used in a
 building block fashion.  For instance, taking the cos() of the output of the
 RAPT transformation generates a stationary kernel expansion via Bochner's
 theorem, and this expansion can then be cbind-ed with other features.
 Additionally, there are utilities for replacing features, removing rows with
 NAs, creating matrix samples of a given distribution, a simple wrapper for
 LASSO with CV, a Freeman-Tukey transform, generalizations of the outer
 function, matrix size-preserving discrete difference by row, plotting, etc.

Package: r-cran-expar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-expar_0.1.0-1.ca2004.1_all.deb
Size: 33108
MD5sum: a2aca80b901d40518f596d212b8d0e11
SHA1: 7d8ab417246d658e63b54534735250203fed7494
SHA256: 255d994e498079c91b95e24a6f76ec8493f88b4d65d847a120e199ad9e9a8016
SHA512: f7c3441e923bf12572a9d86cd1e7265eee26c30b5551a608496b977b8747a9e2d80c3899eae0dc545bd2b02e51109320619eee3fc821c0e0f7bcf344a47f0a5c
Homepage: https://cran.r-project.org/package=EXPAR
Description: CRAN Package 'EXPAR' (Fitting of Exponential Autoregressive (EXPAR) Model)
 The amplitude-dependent exponential autoregressive (EXPAR) time series
 model, initially proposed by Haggan and Ozaki (1981) <doi:10.2307/2335819>
 has been implemented in this package. Throughout various studies, the model
 has been found to adequately capture the cyclical nature of datasets.
 Parameter estimation of such family of models has been tackled by the
 approach of minimizing the residual sum of squares (RSS). Model selection
 among various candidate orders has been implemented using various
 information criteria, viz., Akaike information criteria (AIC), corrected
 Akaike information criteria (AICc) and Bayesian information criteria (BIC).
 An illustration utilizing data of egg price indices has also been provided.

Package: r-cran-exparma
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-exparma_0.1.0-1.ca2004.1_all.deb
Size: 23292
MD5sum: a7a0199173ef76289ea2d6000e05899a
SHA1: a367d8bd74eee2e08a3ec08daa829fc4b6893f5c
SHA256: 8c9f22aa4e69ea5fb0b3b92960ecf2970602c50b3f3ff6c51d5fc33509a76a46
SHA512: 0cbfa3647a300279975b779413b8d8ff7f5f3fc80a94e8783c0af5108798c04c5bfae99cad1248217f491788cfa941dbd42385c056a3842b182a9c88d5456338
Homepage: https://cran.r-project.org/package=EXPARMA
Description: CRAN Package 'EXPARMA' (Fitting of Exponential Autoregressive Moving Average (EXPARMA)Model)
 The amplitude-dependent autoregressive time series model (EXPAR) proposed by
 Haggan and Ozaki (1981) <doi:10.2307/2335819> was improved by incorporating
 the moving average (MA) framework for capturing the variability efficiently.
 Parameters of the EXPARMA model can be estimated using this package. The
 user is provided with the best fitted EXPARMA model for the data set under
 consideration.

Package: r-cran-expdb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-readxl, r-cran-png, r-cran-tibble, r-cran-lubridate, r-cran-dplyr, r-cran-weaana, r-cran-tidyr, r-cran-tidyverse, r-cran-magrittr, r-cran-reshape2, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-expdb_0.1.0-1.ca2004.1_all.deb
Size: 269308
MD5sum: 8dc5cefd76ada89289610f82b75832d8
SHA1: d350be826158acc170c255214625d80e10aa0664
SHA256: ac8517a472a42f2876b8070b69b31b819e332789777427adbed5536fff8f81f6
SHA512: 212763b91df0ab381fe92e173cb0b417cf182c017b0e8fb86545ceaa27a5ed5ecba1570368317476d4859e227c9ad3d8c8feaafe2c81c98e4deb48582fc25c68
Homepage: https://cran.r-project.org/package=expDB
Description: CRAN Package 'expDB' (Database for Experiment Dataset)
 A SQLite database is designed to store all information of experiment-based
 data including metadata, experiment design, managements, phenotypic values
 and climate records. The dataset can be imported from an excel file.

Package: r-cran-expde
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-smoof, r-cran-cec2013
Filename: pool/dists/focal/main/r-cran-expde_0.1.4-1.ca2004.1_all.deb
Size: 130428
MD5sum: 27b22777278085f301511ecb7b3782f4
SHA1: 03ada613b298479d8699178e85d6ed07976b7d87
SHA256: 3612668d134e25732d1c2b3aa9526ef4aa7d7a9ad90dd47c318df44de99581ff
SHA512: 48f434dfb4f6a64c231311214d0cf64b06528999f773fba2c27ed3849b18c1c057c6b5b39dbaf9575db6319923601f32ee5835ae5e26487cfeedac40253d94c2
Homepage: https://cran.r-project.org/package=ExpDE
Description: CRAN Package 'ExpDE' (Modular Differential Evolution for Experimenting with Operators)
 Modular implementation of the Differential Evolution algorithm for
 experimenting with different types of operators.

Package: r-cran-expdes.pt
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-expdes.pt_1.2.2-1.ca2004.1_all.deb
Size: 572764
MD5sum: 02237cc3966ba00a45851c312af336d8
SHA1: 1a6089db78f2d35e1bb9a57d47b83c69773146e7
SHA256: 901132fd1b5a12cff00a4339d471a01c4de47ead5e1ef90ae810a960e28f2a88
SHA512: 18ea5a991ca0c2d33e5f5c2e68c1e88a1eeb38c4f6ec483920ffbfa60160212b5d8ebcc8596c8e5f1417a0d6e9b451bc9336a5f6883a45ddc876054d00620aa0
Homepage: https://cran.r-project.org/package=ExpDes.pt
Description: CRAN Package 'ExpDes.pt' (Pacote Experimental Designs (Portugues))
 Pacote para análise de delineamentos experimentais (DIC, DBC e DQL),
 experimentos em esquema fatorial duplo (em DIC e DBC), experimentos em
 parcelas subdivididas (em DIC e DBC), experimentos em esquema fatorial duplo
 com um tratamento adicional (em DIC e DBC), experimentos em fatorial triplo
 (em DIC e DBC) e experimentos em esquema fatorial triplo com um tratamento
 adicional (em DIC e DBC), fazendo analise de variancia e comparacao de
 multiplas medias (para tratamentos qualitativos), ou ajustando modelos de
 regressao ate a terceira potencia (para tratamentos quantitativos); analise
 de residuos (Ferreira, Cavalcanti and Nogueira, 2014)
 <doi:10.4236/am.2014.519280>.

Package: r-cran-expdes
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-expdes_1.2.2-1.ca2004.1_all.deb
Size: 558948
MD5sum: 521a1f64674857fcb01660ba51b63286
SHA1: 5fd3131e7b43b3c5afa9532999751a03916c5da7
SHA256: ce279fb47c00b2330638ec4836097ad6b9ffabb9c2d38abb59a2c95c72a43421
SHA512: 2e924576fcaa7476d74d3963666b8968a0cfb0012a8000cef3e4718ab0470dcf793fca3ed98adb36ee8b5d38e350b4a9e51eb0176f720985c1297c7788a4fced
Homepage: https://cran.r-project.org/package=ExpDes
Description: CRAN Package 'ExpDes' (Experimental Designs Package)
 Package for analysis of simple experimental designs (CRD, RBD and LSD),
 experiments in double factorial schemes (in CRD and RBD), experiments in a
 split plot in time schemes (in CRD and RBD), experiments in double factorial
 schemes with an additional treatment (in CRD and RBD), experiments in triple
 factorial scheme (in CRD and RBD) and experiments in triple factorial
 schemes with an additional treatment (in CRD and RBD), performing the
 analysis of variance and means comparison by fitting regression models until
 the third power (quantitative treatments) or by a multiple comparison test,
 Tukey test, test of Student-Newman-Keuls (SNK), Scott-Knott, Duncan test, t
 test (LSD) and Bonferroni t test (protected LSD) - for qualitative
 treatments; residual analysis (Ferreira, Cavalcanti and Nogueira, 2014)
 <doi:10.4236/am.2014.519280>.

Package: r-cran-experdesign
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1102
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-experdesign_0.4.0-1.ca2004.1_all.deb
Size: 393084
MD5sum: fd99d7cf08810ea8791e1aec6585d97b
SHA1: 590552ef88817cef6483f646624ccfefbe087738
SHA256: 14e8031cd1d9a641e1bc23e644b3491293e1542f0207c1bc9485a83a6c307bed
SHA512: f8f2970c040a8d6c909c82080bfd5d3f0feab13c1c0295197fb9e1cc658e51294dfe14d1ce9713ac2fe42716876454e411a9d5c6b8a19add75351b2e53b313f0
Homepage: https://cran.r-project.org/package=experDesign
Description: CRAN Package 'experDesign' (Design Experiments for Batches)
 Distributes samples in batches while making batches homogeneous according to
 their description. Allows for an arbitrary number of variables, both numeric
 and categorical. For quality control it provides functions to subset a
 representative sample.

Package: r-cran-experiences
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-huxtable, r-cran-magrittr, r-cran-scales, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-experiences_0.1.1-1.ca2004.1_all.deb
Size: 26400
MD5sum: 1f74352a2dcf0a536154d6faef0d52c6
SHA1: c6d8c4a187c483b2fac32c73e0f6f5a6d6dfc59b
SHA256: d57d0d1d567ab7212410b66fbdd4f81116418dd6c511718574d2b71e7bbbea56
SHA512: 0466cebfdccc68d1ce8459324c5a6f463e4a1750e2b0046ef20f9a5a7715fa5957b87c547a7ff274081fcf93e57d0dc321195f2c5d1c38cb96c27ebb972d8c31
Homepage: https://cran.r-project.org/package=experiences
Description: CRAN Package 'experiences' (Experience Research)
 Provides convenience functions for researching experiences including user,
 customer, patient, employee, and other human experiences.  It provides a
 suite of tools to simplify data exploration such as benchmarking, comparing
 groups, and checking for differences. The outputs translate statistical
 approaches in applied experience research to human readable output.

Package: r-cran-experimentr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-experimentr_0.1.0-1.ca2004.1_all.deb
Size: 63180
MD5sum: 6e4670861132719e8abc30636b71c073
SHA1: 2de5dd28f552ca45f306e4685166b4e33ec80071
SHA256: 6189b2dd33e12cdc6129866d9f3a4e18358f29cb4bb1d4679f771a24af7f7ec2
SHA512: 6c338ffc321ebfa4b91e970e7e92da9ce334a42887781155c78ccbb73157291330adc95f718a26737b3821ae2c5bcd31a701adf8c40f744c82626331fe096f2e
Homepage: https://cran.r-project.org/package=experimentr
Description: CRAN Package 'experimentr' (Datasets Used in Social Science Experiments: A Hands-onIntroduction)
 Contains all the datasets that were used in Social Science Experiments: A
 Hands-On Introduction and in its R Companion. Relevant materials can be
 found at <https://osf.io/b78je>.

Package: r-cran-expertchoice
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-far, r-cran-dplyr, r-cran-doe.base, r-cran-rlist, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-expertchoice_0.2.0-1.ca2004.1_all.deb
Size: 314556
MD5sum: 8d93d4f7d8ac2f3e42f63b3a8a1e9c06
SHA1: ef71d90b4cb3426ac364aec6cd8b19db9054393e
SHA256: 96d06c1dca1162bc173a215ba2e5f708a71a0f61ece86503f82919a2de762a4d
SHA512: 50c15185c76b4bc1c5043d47af5b4d12f9453efb6ab9871facdf984d6e4aebd7e0136fd5dfbd44c8378787f6be6b360cc0cb3bc90ec82230f28b3dc6d6e5be10
Homepage: https://cran.r-project.org/package=ExpertChoice
Description: CRAN Package 'ExpertChoice' (Design of Discrete Choice and Conjoint Analysis)
 Supports designing efficient discrete choice experiments (DCEs).
 Experimental designs can be formed on the basis of orthogonal arrays or
 search methods for optimal designs (Federov or mixed integer programs).
 Various methods for converting these experimental designs into a discrete
 choice experiment. Many efficiency measures! Draws from literature of
 Kuhfeld (2010) and Street et. al (2005)
 <doi:10.1016/j.ijresmar.2005.09.003>.

Package: r-cran-expgenetic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-deseq2, r-cran-futile.logger, r-cran-ggplot2, r-cran-ggsci, r-cran-plyr, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-expgenetic_0.1.0-1.ca2004.1_all.deb
Size: 138580
MD5sum: 284e1df03c2a2a2aa636f9c16b75996e
SHA1: 13c5b611c38a52fcf258d43ea38233a55778a240
SHA256: 69ba69a8bdba96fd4a11bcf9bfed8068d5af4a88005c15fa5befe24ee171f766
SHA512: 5810cd6e2c9f4dd78ef32b1289b889e64ae9441d5fb43ffbbbfbd7b6b7507f29e2c852c057a426d3ae6853d430a6565c1a98e2ba6e4741eeddae80b94eb14dd6
Homepage: https://cran.r-project.org/package=ExpGenetic
Description: CRAN Package 'ExpGenetic' (Non-Additive Expression Analysis of Hybrid Offspring)
 Three functional modules, including genetic features, differential
 expression analysis and non-additive expression analysis were integrated
 into the package. And the package is suitable for RNA-seq and small RNA
 sequencing data. Besides, two methods of non-additive expression analysis
 were provided. One is the calculation of the additive (a) and dominant (d),
 the other is the evaluation of expression level dominance by comparing the
 total expression of the gene in hybrid offspring with the expression level
 in parents. For non-additive expression analysis of RNA-seq data, it is only
 applicable to hybrid offspring (including two sub-genomes) species for the
 time being.

Package: r-cran-expimage
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4395
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-rstudioapi, r-cran-progress, r-cran-randomforest, r-cran-ggplot2, r-cran-crayon, r-cran-doparallel, r-cran-foreach, r-cran-schemr
Suggests: r-cran-biocmanager, r-bioc-ebimage, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-expimage_0.10.1-1.ca2004.1_all.deb
Size: 3303468
MD5sum: 693a7aeef59dd76d67d4565d39cffd1c
SHA1: ec8d591bda0efe766150fb84a8aecfbccdb132dd
SHA256: 866e6957b43d562b7bd21185c14e8e876f53be4f73260b8816ed4e2499247b18
SHA512: a0aada137411419f7589d32b43c1e3b6552199a1afce872e9d01357bf518c73588cf9bd6cde4cf46b6be09b73078c51892d1f365ee37fc3843ef5706b6e0ff7e
Homepage: https://cran.r-project.org/package=ExpImage
Description: CRAN Package 'ExpImage' (Analysis of Images in Experiments)
 Tools created for image analysis in researches. There are functions
 associated with image editing, segmentation, and obtaining biometric
 measurements (Este pacote foi idealizado para para a analise de imagens em
 pesquisas. Ha funcoes associadas a edicao de imagens, segmentacao, e
 obtencao de medidas biometricas)
 <https://www.expstat.com/pacotes-do-r/expimage>.

Package: r-cran-expirest
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-expirest_0.1.7-1.ca2004.1_all.deb
Size: 330800
MD5sum: 43ef366d98f158e126baaa997f5037ac
SHA1: e6b2e1d515605494bc3356c1f4411c474485b159
SHA256: a11893d6cff670214907c9137ab1e7ce9a045cd2cfd9d63696bdea0f08eb3cc3
SHA512: 921b441dd36e4cbb9e1a36e4f2052c322c0a36c46bebb3da3d2f3bbbc9f903570c6dce8af11e855df4d122485726e84549a20e6924ff48c88bb114a251c0a094
Homepage: https://cran.r-project.org/package=expirest
Description: CRAN Package 'expirest' (Expiry Estimation Procedures)
 The Australian Regulatory Guidelines for Prescription Medicines (ARGPM),
 guidance on "Stability testing for prescription medicines", recommends to
 predict the shelf life of chemically derived medicines from stability data
 by taking the worst case situation at batch release into account.
 Consequently, if a change over time is observed, a release limit needs to be
 specified. Finding a release limit and the associated shelf life is
 supported, as well as the standard approach that is recommended by guidance
 Q1E "Evaluation of stability data" from the International Council for
 Harmonisation (ICH).

Package: r-cran-explainer
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cvms, r-cran-data.table, r-cran-dplyr, r-cran-egg, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggpubr, r-cran-magrittr, r-cran-plotly, r-cran-tibble, r-cran-tidyr, r-cran-writexl, r-cran-gridextra, r-cran-scales
Suggests: r-cran-cowplot, r-cran-mlr3, r-cran-mlr3learners, r-cran-knitr, r-cran-broom, r-cran-iml, r-cran-forcats, r-cran-mlr3viz, r-cran-plotroc, r-cran-psych, r-cran-reshape2, r-cran-remotes, r-cran-mlbench, r-cran-ranger, r-cran-precrec, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-explainer_1.0.2-1.ca2004.1_all.deb
Size: 164176
MD5sum: 4c983d83479a2c87e9d92f4b16368f85
SHA1: 91cfcaa1810cdb9fc46838c119bec128b1d09d89
SHA256: 9e30aea319492ac295441881f4626d0bf43b1989224682b822d2e334da9f98a3
SHA512: 227c5347574c2e70b2db675c77908a72181ed467057a13f6767ac49c97e426005cdf6984e2a19787c37b19ece47c7f5f6e0dc012dd08c68f3c3df7db1b542cdf
Homepage: https://cran.r-project.org/package=explainer
Description: CRAN Package 'explainer' (Machine Learning Model Explainer)
 It enables detailed interpretation of complex classification and regression
 models through Shapley analysis including data-driven characterization of
 subgroups of individuals. Furthermore, it facilitates multi-measure model
 evaluation, model fairness, and decision curve analysis. Additionally, it
 offers enhanced visualizations with interactive elements.

Package: r-cran-explainprediction
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corelearn, r-cran-semiartificial
Suggests: r-cran-nnet, r-cran-e1071, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-explainprediction_1.3.0-1.ca2004.1_all.deb
Size: 79124
MD5sum: fef77c0b3dab7b097ec9a6bca732cdb3
SHA1: f81dc07fdea2634565bb439623fbb5d5fc9761df
SHA256: d7f022f2f726920b72322f3beadb4efa5ffa427b6ff22b178a36162c677d5f29
SHA512: dec51b4eb8022f0cccacd4168f685194322f4cf9d8ec57bed22d0654dbe858311a05c5147ac37e2a0269efb183d1bc79161f3f96a65032e2c97cc5d813f985be
Homepage: https://cran.r-project.org/package=ExplainPrediction
Description: CRAN Package 'ExplainPrediction' (Explanation of Predictions for Classification and RegressionModels)
 Generates explanations for classification and regression models and
 visualizes them.  Explanations are generated for individual predictions as
 well as for models as a whole. Two explanation methods are included, EXPLAIN
 and IME. The EXPLAIN method is fast but might miss explanations expressed
 redundantly in the model. The IME method is slower as it samples from all
 feature subsets.  For the EXPLAIN method see Robnik-Sikonja and Kononenko
 (2008) <doi:10.1109/TKDE.2007.190734>, and the IME method is described in
 Strumbelj and Kononenko (2010, JMLR, vol. 11:1-18).  All models in package
 'CORElearn' are natively supported, for other prediction models a wrapper
 function is provided and illustrated for models from packages
 'randomForest', 'nnet', and 'e1071'.

Package: r-cran-explodelayout
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-explodelayout_0.1.3-1.ca2004.1_all.deb
Size: 72136
MD5sum: c15f9a7d0f3ca894356f094d7114ad98
SHA1: 137f4c27c199d192f3804e459ffd9cc66387ed74
SHA256: 694caf7ac117b1922dec68813f13c4b14dfed1948e6413bf4d4622cf48d8f4a3
SHA512: 46641ea3b43cdeee73a93ef3073e67cf43b9efccb5cda5846d643fb2ac4711603160f670f9b768b0fadf30da5cd87d4fd2db12ae00876170c2fc5e9217b8feaa
Homepage: https://cran.r-project.org/package=ExplodeLayout
Description: CRAN Package 'ExplodeLayout' (Calculate Exploded Coordinates Based on Original NodeCoordinates and Node Clustering Membership)
 Current layout algorithms such as Kamada Kawai do not take into
 consideration disjoint clusters in a network, often resulting in a high
 overlap among the clusters, resulting in a visual “hairball” that often is
 uninterpretable. The ExplodeLayout algorithm takes as input (1) an edge list
 of a unipartite or bipartite network, (2) node layout coordinates (x, y)
 generated by a layout algorithm such as Kamada Kawai, (3) node cluster
 membership generated from a clustering algorithm such as modularity
 maximization, and (4) a radius to enable the node clusters to be “exploded”
 to reduce their overlap. The algorithm uses these inputs to generate new
 layout coordinates of the nodes which “explodes” the clusters apart, such
 that the edge lengths within the clusters are preserved, while the edge
 lengths between clusters are recalculated. The modified network layout with
 nodes and edges are displayed in two dimensions. The user can experiment
 with different explode radii to generate a layout which has sufficient
 separation of clusters, while reducing the overall layout size of the
 network. This package is a basic version of an earlier version called
 [epl]<https://github.com/UTMB-DIVA-Lab/epl> that searched for an optimal
 explode radius, and offered multiple ways to separate clusters in a network
 (Bhavnani et al(2017) <https://pmc.ncbi.nlm.nih.gov/articles/PMC5543384/>).
 The example dataset is for a bipartite network, but the algorithm can work
 also for unipartite networks.

Package: r-cran-explor
Architecture: all
Version: 0.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-highr, r-cran-formatr, r-cran-scatterd3, r-cran-rcolorbrewer
Suggests: r-cran-factominer, r-cran-ade4, r-cran-gdatools, r-cran-mass, r-cran-quanteda, r-cran-quanteda.textmodels, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-explor_0.3.10-1.ca2004.1_all.deb
Size: 479436
MD5sum: 332e7e3010587990864048ae89eb992f
SHA1: dcf83519f5f2b5fd027008c3bd946f07d934449c
SHA256: b849fdcdc2c149f481bbdea3207321ca4be440c4e41230a59c472a23ec65e84e
SHA512: f5832cf9e551dca1cd0c2447dc3ed21ed1712e1906200f1b444847b26f4b515daeb2ab6775ae194cf4da3f93e659bea9184da1d714b15d0a6496f23cc03e2b77
Homepage: https://cran.r-project.org/package=explor
Description: CRAN Package 'explor' (Interactive Interfaces for Results Exploration)
 Shiny interfaces and graphical functions for multivariate analysis results
 exploration.

Package: r-cran-exploratory
Architecture: all
Version: 0.3.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-dt, r-cran-ggplot2, r-cran-ggridges, r-cran-lemon, r-cran-lm.beta, r-cran-mediation, r-cran-remotes, r-cran-shiny, r-cran-shinydashboard, r-cran-weights
Suggests: r-cran-moments
Filename: pool/dists/focal/main/r-cran-exploratory_0.3.31-1.ca2004.1_all.deb
Size: 193948
MD5sum: 295fa0a63005bdb13462fae092e7a342
SHA1: 460e05cb49900124a1690f7c742dddc91874f4e1
SHA256: 8fece970ab839410ce9e78266af76dcaef8695546f82d66bb98cbec7fa384909
SHA512: 38437b2e32bb45a2fa7d78ab13975711b709f70e6f4432dcdecfa2ee916be6b23983de595644a150e2ba121724256904639c76a9e46f21d3cf6187a20827f6a7
Homepage: https://cran.r-project.org/package=exploratory
Description: CRAN Package 'exploratory' (A Tool for Large-Scale Exploratory Analyses)
 Conduct numerous exploratory analyses in an instant with a point-and-click
 interface. With one simple command, this tool launches a Shiny App on the
 local machine. Drag and drop variables in a data set to categorize them as
 possible independent, dependent, moderating, or mediating variables. Then
 run dozens (or hundreds) of analyses instantly to uncover any statistically
 significant relationships among variables. Any relationship thus uncovered
 should be tested in follow-up studies.  This tool is designed only to
 facilitate exploratory analyses and should NEVER be used for p-hacking. Many
 of the functions used in this package are previous versions of functions in
 the R Packages 'kim' and 'ezr'.  Selected References: Chang et al. (2021)
 <https://CRAN.R-project.org/package=shiny>.  Dowle et al. (2021)
 <https://CRAN.R-project.org/package=data.table>.  Kim (2023)
 <https://jinkim.science/docs/kim.pdf>.  Kim (2021)
 <doi:10.5281/zenodo.4619237>.  Kim (2020)
 <https://CRAN.R-project.org/package=ezr>.  Simmons et al. (2011)
 <doi:10.1177/0956797611417632> Tingley et al. (2019)
 <https://CRAN.R-project.org/package=mediation>.  Wickham et al. (2020)
 <https://CRAN.R-project.org/package=ggplot2>.

Package: r-cran-explore
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4554
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-palmerpenguins, r-cran-plotly, r-cran-rlang, r-cran-rmarkdown, r-cran-rpart, r-cran-rpart.plot, r-cran-shiny, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-mass, r-cran-randomforest, r-cran-xgboost, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-explore_1.3.5-1.ca2004.1_all.deb
Size: 2864196
MD5sum: 19ec12c2c39975ffcf6ea623e90dbff2
SHA1: ac886a6a138dca5c4ee1499f82a52b8721c7729a
SHA256: 27056caee114626fc454fab8a192c95469e8ccf8d1a62bf34bc6f4bbff38f87e
SHA512: 4ce6e4e17d045f8f7ad76026e8cc7d48be5d692da69c43ce49a12471e877b6fab5c3b37dd5d7cd2776d3cf975266d5feda8e788f190e96fa5dbb8ba04b43d88e
Homepage: https://cran.r-project.org/package=explore
Description: CRAN Package 'explore' (Simplifies Exploratory Data Analysis)
 Interactive data exploration with one line of code, automated reporting or
 use an easy to remember set of tidy functions for low code exploratory data
 analysis.

Package: r-cran-explorer
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-explorer_0.1-1.ca2004.1_all.deb
Size: 38536
MD5sum: 66fef3c51fcf7eff2fa33f096b00ccdf
SHA1: 5b95d086a25058967ea66351b2bc0adc23819da0
SHA256: 3e9c02c83b8447d4194c981f92c1cac9370054176ee06feeee9d03f002ed04dd
SHA512: f1e5c02e0ec57d7165bf3a31c6ef17926795c9197a5c8cb339576090eefa9a7b61bbefdfefc94a0583405b2b0b3af52a7d481abd29ae302117019e797e2757b1
Homepage: https://cran.r-project.org/package=exploreR
Description: CRAN Package 'exploreR' (Tools for Quickly Exploring Data)
 Simplifies some complicated and labor intensive processes involved in
 exploring and explaining data.  Allows you to quickly and efficiently
 visualize the interaction between variables and simplifies the process of
 discovering covariation in your data.  Also includes some convenience
 features designed to remove as much redundant typing as possible.

Package: r-cran-export
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 537
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-officer, r-cran-rvg, r-cran-xtable, r-cran-flextable, r-cran-rgl, r-cran-xml2, r-cran-stargazer, r-cran-openxlsx, r-cran-broom, r-cran-devemf
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-export_0.3.0-1.ca2004.1_all.deb
Size: 264120
MD5sum: 9353a275a964374118da51c11ab5f00e
SHA1: 2f607fb3e5f01821aa7206a3cd1f5c9390ef636c
SHA256: ff1f43de032c419d2bd45a3eb0017e51056e3439f1625355593b119d971637de
SHA512: f60c4efed99ec78625cce2cca745136db5c2aef4fb47acaff924e6f22c6d258d5dd4bb66df5b68b8531eda8849e4a83a5b3619bbe3845b07326ac2dd5c1a5f26
Homepage: https://cran.r-project.org/package=export
Description: CRAN Package 'export' (Streamlined Export of Graphs and Data Tables)
 Easily export 'R' graphs and statistical output to 'Microsoft Office' /
 'LibreOffice', 'Latex' and 'HTML' Documents, using sensible defaults that
 result in publication-quality output with simple, straightforward commands.
 Output to 'Microsoft Office' is in editable 'DrawingML' vector format for
 graphs, and can use corporate template documents for styling. This enables
 the production of standardized reports and also allows for manual tidy-up of
 the layout of 'R' graphs in 'Powerpoint' before final publication. Export of
 graphs is flexible, and functions enable the currently showing R graph or
 the currently showing 'R' stats object to be exported, but also allow the
 graphical or tabular output to be passed as objects. The package relies on
 package 'officer' for export to 'Office' documents,and output files are also
 fully compatible with 'LibreOffice'. Base 'R', 'ggplot2' and 'lattice' plots
 are supported, as well as a wide variety of 'R' stats objects, via wrappers
 to xtable(), broom::tidy() and stargazer(), including aov(), lm(), glm(),
 lme(), glmnet() and coxph() as well as matrices and data frames and many
 more...

Package: r-cran-expose
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-repmis, r-cran-superlearner, r-cran-gam, r-cran-foreach, r-cran-glmnet, r-cran-matrix, r-cran-nnet, r-cran-polspline, r-cran-e1071, r-cran-xgboost, r-cran-rcpp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-expose_0.0.3-1.ca2004.1_all.deb
Size: 2264560
MD5sum: c1a9752a3b9352effd33e31aa7469d24
SHA1: 0e27e8032ed05a018634bbcd8e591784fa194f1b
SHA256: 90d92d2f3dfd79ba433e467669e440f0e8502e8c431ad9cbb2a2925b6823b87b
SHA512: 476836fd34d37290b9c413e519d2a63cc3c2ad501e7c9c608d56f81ed602b67433a3fcb19fc74bb2af68346315e2999ca044802c87b1115dae0e2a0497a3a734
Homepage: https://cran.r-project.org/package=expose
Description: CRAN Package 'expose' (Multiple Effect Estimation of Chemicals in EnvironmentalEpidemiology)
 Estimate individual and average joint effects of chemical mixtures,
 dose-response relationships, and potential interactions in environmental
 epidemiology.  The visualization of interactions and the plotting of all the
 objects. For more information please, check next work: Youssef Oulhote,
 Marie-Abele Bind, Brent Coull, Chirag, Patel, Philippe Grandjean (2017)
 <https://www.biorxiv.org/content/early/2017/06/30/147413.article-info>.

Package: r-cran-exposition
Architecture: all
Version: 2.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prettygraphs
Filename: pool/dists/focal/main/r-cran-exposition_2.11.0-1.ca2004.1_all.deb
Size: 245608
MD5sum: 71df2c7c33f65bd3ca70d728cc8c3790
SHA1: 8240b7527aca458ee1d2cda04779d83565d6d317
SHA256: 5ddf77baddf6b374e6501bbd60b9fce1f9482f6444b7465f2f2d771b1e93504a
SHA512: 61001a397fd69d831df40a9f53904b8cdd9a270fc9b13acfd6d0a5a8c9e3c312461d119807bbf17322b1e761b534ab0fa0f47d5d9f23c0a2b0544aa4f592bf6b
Homepage: https://cran.r-project.org/package=ExPosition
Description: CRAN Package 'ExPosition' (Exploratory Analysis with the Singular Value Decomposition)
 A variety of descriptive multivariate analyses with the singular value
 decomposition, such as principal components analysis, correspondence
 analysis, and multidimensional scaling.  See An ExPosition of the Singular
 Value Decomposition in R (Beaton et al 2014)
 <doi:10.1016/j.csda.2013.11.006>.

Package: r-cran-exposr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-exposr_1.2-1.ca2004.1_all.deb
Size: 162660
MD5sum: d17a4291f052ef0142e6f20b4d7d1365
SHA1: f5efb1d792c65a1d93d91cb507eaa87515eaada5
SHA256: 249755945d8fc3e7e05e55a2adb930c57c49dd8db83894f5eeb91cdf40c69148
SHA512: c4f88b7f3df0dfa5a235360821ddf11ed87809deef96513d52f7324a3115e24cae08d5a1754a1de0531bb32a490abc22eb4ba7ac1efa1f4d0650edc4fb54e210
Homepage: https://cran.r-project.org/package=ExposR
Description: CRAN Package 'ExposR' (Models Topographic Exposure to Hurricane Winds)
 The EXPOS model uses a digital elevation model (DEM) to estimate exposed and
 protected areas for a given hurricane wind direction and inflection angle.
 The resulting topographic exposure maps can be combined with output from the
 HURRECON model to estimate hurricane wind damage across a region. For
 details on the original version of the EXPOS model written in 'Borland
 Pascal', see: Boose, Foster, and Fluet (1994) <doi:10.2307/2937142>, Boose,
 Chamberlin, and Foster (2001)
 <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2>, and Boose, Serrano,
 and Foster (2004) <doi:10.1890/02-4057>.

Package: r-cran-expowo
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1687
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-dplyr, r-cran-magrittr, r-cran-data.table, r-cran-ggplot2, r-cran-rnaturalearth, r-cran-sp, r-cran-sf, r-cran-r.utils, r-cran-flora, r-cran-tibble, r-cran-cowplot, r-cran-plyr, r-cran-pupillometryr, r-cran-scales, r-cran-viridislite
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-expowo_2.0-1.ca2004.1_all.deb
Size: 1640708
MD5sum: 357a9a145969c8c5cf8d394f351e7695
SHA1: 136e92f576a6f8aac99c74a2e0f2562b7537a4ab
SHA256: 94c6165b56551f71955f1e46bc8902452775d08e35d3c639240f91964341ca5b
SHA512: 0c5082a931098bbb4f747146efea18c2059647fc9fc68436ec82061967e8c18de4691b1806409523837f4a0c862ea791c205337099517254732cf6b3b3b2e8dc
Homepage: https://cran.r-project.org/package=expowo
Description: CRAN Package 'expowo' (Data Mining of Plant Diversity and Distribution)
 Produces diversity estimates and species lists with associated global
 distribution for any vascular plant family and genus from 'Plants of the
 World Online' database <https://powo.science.kew.org/>, by interacting with
 the source code of each plant taxon page. It also creates global maps of
 species richness, graphics of species discoveries and nomenclatural changes
 over time.

Package: r-cran-expp
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-spdep, r-cran-rgeos, r-cran-deldir, r-cran-spatstat.geom
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-lme4, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-expp_1.2.5-1.ca2004.1_all.deb
Size: 1480928
MD5sum: 4be73397e975f8ea3429da15bb919c1e
SHA1: 01e1c8d7e0a56f4e3a18fffdc4392e508a727574
SHA256: 7a5ca374fc77422532628d7be4ce956b9cd001de9a9696aa0373b7b65d41bbef
SHA512: 5965cccc4172c7b5255469564720083d5fcd5e1c483ff7f9cc6f087a6582c5c934cd5fd41e6f85a5644bb05cd2e6811bbbdf3072946ace943583458b0e609610
Homepage: https://cran.r-project.org/package=expp
Description: CRAN Package 'expp' (Spatial Analysis of Extra-Pair Paternity)
 Tools and data to accompany Schlicht, L., Valcu, M., & Kempenaers, B. (2015)
 <doi:10.1111/1365-2656.12293>. Spatial patterns of extra-pair paternity:
 beyond paternity gains and losses. Journal of Animal Ecology, 84(2),
 518-531.

Package: r-cran-exprep
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exprep_1.0-1.ca2004.1_all.deb
Size: 51848
MD5sum: 2de014badc1502a57299bb8e1ad9292f
SHA1: fbf05e2fc1bd36902684aed8f55588768b766a9e
SHA256: 48332c46ba31d0179e5d9b9e4d4f37ad396cc4a1fca95ea8a857b1fad6806f62
SHA512: 490cd0a7e364f0f753564009e1b2c8e7ac02039f403ebd70d30fd918ef3307c9e32855d45e45baf26b8f091a0460a8b8b1281a5c73727095c29678b120f0d8bc
Homepage: https://cran.r-project.org/package=ExpRep
Description: CRAN Package 'ExpRep' (Experiment Repetitions)
 Allows to calculate the probabilities of occurrences of an event in a great
 number of repetitions of Bernoulli experiment, through the application of
 the local and the integral theorem of De Moivre Laplace, and the theorem of
 Poisson.  Gives the possibility to show the results graphically and
 analytically, and to compare the results obtained by the application of the
 above theorems with those calculated by the direct application of the
 Binomial formula. Is basically useful for educational purposes.

Package: r-cran-exprnet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-doparallel, r-cran-foreach, r-cran-here
Suggests: r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exprnet_1.0.0-1.ca2004.1_all.deb
Size: 137944
MD5sum: c2934e026c3ac17adc106dda89b82b02
SHA1: d58f8e14e2bf4472629ca9fff354a1693297fb06
SHA256: cd432a3ad64a9a5a2ad6da50ae9fba56e3f805972151077f27670d0ab0071193
SHA512: b477bda6b5ff0852494edeb5fdd27fa9583c4906de56e827e6272f39bf37aca84daf54796763da1baf8f16474c2004f0fcc15123ccbfe74de9d93bce7f3aad55
Homepage: https://cran.r-project.org/package=ExprNet
Description: CRAN Package 'ExprNet' (Characterizing Differential Expression of Selected Edges on aNetwork)
 A toy model studying expressions of selected edges (namely a sub-network) on
 a network. We aim to characterize how the lengths of selected edges vary
 between two phenotypes based on t tests results. Two statistics, AT1 and
 AT2, are computed to summarize the t tests results and distinguish the
 differentially expressed patterns of the sub-network.

Package: r-cran-expsmooth
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-expsmooth_2.3-1.ca2004.1_all.deb
Size: 279588
MD5sum: fdac357fadb1dcd93986251edc614c5f
SHA1: 4e3956a050c15a532ab81017f624e6612b29f6e9
SHA256: 777e6e0cba8e6bcf4ad8d41d47810f2d8469abde5b00e9ecddba67b590d84c16
SHA512: ac4dac05224434b3781186ab1e9b92f8a931798523ee664d6a69903fcabe858e55e990be5c0e27ed52334832dda8c55b3e9fc9b199d37e2eaeab01e8fbdb23b3
Homepage: https://cran.r-project.org/package=expsmooth
Description: CRAN Package 'expsmooth' (Data Sets from "Forecasting with Exponential Smoothing")
 Data sets from the book "Forecasting with exponential smoothing: the state
 space approach" by Hyndman, Koehler, Ord and Snyder (Springer, 2008).

Package: r-cran-expss
Architecture: all
Version: 0.11.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maditr, r-cran-data.table, r-cran-htmltable, r-cran-matrixstats
Suggests: r-cran-foreign, r-cran-dt, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-repr, r-cran-ggplot2, r-cran-testthat, r-cran-openxlsx, r-cran-fst, r-cran-huxtable
Filename: pool/dists/focal/main/r-cran-expss_0.11.6-1.ca2004.1_all.deb
Size: 1362924
MD5sum: 470c98dec7e447f4fd650f3d1a7e9d61
SHA1: 27d7e6b7199fe7ac2bc930c46c666428f3a66965
SHA256: e6cc7f7396fd175f72da7a62c92ac80374ec61573de969297a29d0f1a7f7781c
SHA512: d4cd92b3af4563d7757fa42855555981765933839aed04a1580bf03458f164df184f8277b8df03c6389da05687b7248a1a784295e363c03eb4f24c629751b5ea
Homepage: https://cran.r-project.org/package=expss
Description: CRAN Package 'expss' (Tables, Labels and Some Useful Functions from Spreadsheets and'SPSS' Statistics)
 Package computes and displays tables with support for 'SPSS'-style labels,
 multiple and nested banners, weights, multiple-response variables and
 significance testing. There are facilities for nice output of tables in
 'knitr', 'Shiny', '*.xlsx' files, R and 'Jupyter' notebooks. Methods for
 labelled variables add value labels support to base R functions and to some
 functions from other packages. Additionally, the package brings popular data
 transformation functions from 'SPSS' Statistics and 'Excel': 'RECODE',
 'COUNT', 'COUNTIF', 'VLOOKUP' and etc.  These functions are very useful for
 data processing in marketing research surveys. Package intended to help
 people to move data processing from 'Excel' and 'SPSS' to R.

Package: r-cran-expstudy
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 951
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-expstudy_2.0.0-1.ca2004.1_all.deb
Size: 867440
MD5sum: 273841a4ca0db05a164f666860bd3c0b
SHA1: d7b54ead20b9b48d7adbaffef965003cbb35c484
SHA256: 0e975d51cc520942c31f66af6fc640d28ddeedfd3cbee3dcebf59cdf10716770
SHA512: 423e6d2c23b3437471a4846d9620e8487b44a712ba7a00f1b0f03e5ea5705b5e2b17be96492da8807f9aaa2408b37ea49904989453887b36839db993fcb16506
Homepage: https://cran.r-project.org/package=expstudy
Description: CRAN Package 'expstudy' (Tools for Actuarial Experience Studies)
 Experiences studies are an integral component of the actuarial control
 cycle. Regardless of the decrement or policyholder behavior of interest, the
 analyses conducted is often the same. Ultimately, this package aims to
 reduce time spent writing the same code used for different experience
 studies, therefore increasing the time for to uncover new insights inherit
 within the relevant experience.

Package: r-cran-exptest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exptest_1.2-1.ca2004.1_all.deb
Size: 106828
MD5sum: 0488dd0fa0f28ed2d47e4a3ba14b29c1
SHA1: 2697d6abd48f0b318166bbf170c0842c0bb47c2c
SHA256: 7d7a5b4eaf517634806cc30245b7684d75057a941c4f44f820f5fe668cd858db
SHA512: 76eef6549747c183e05b99f49c29713781cf0c4a4d19cf740e415f94ac832f153876ce881e31b5ff765d240e48c8a4be0ef3b0740f32b0dd73afb9f044fabf2c
Homepage: https://cran.r-project.org/package=exptest
Description: CRAN Package 'exptest' (Tests for Exponentiality)
 Tests for the composite hypothesis of exponentiality

Package: r-cran-exreport
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 537
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-exreport_0.4.1-1.ca2004.1_all.deb
Size: 277804
MD5sum: e51378920765ae63bbda5ecc8c7e0ca1
SHA1: 472c279886eb269dbda086f66e4c77af2f3475ca
SHA256: 7ebf0926cd831a558633f6c86904d09c4708bb252c2f35c37f7e15b4291f6808
SHA512: 3896721493d0ebb0cf6dc9625404cd4e76872345f13197063b3c04b606d24db41bd026d3e09f997cc899759a153b280082001596dd652b5aec7ca537ca8d7b2c
Homepage: https://cran.r-project.org/package=exreport
Description: CRAN Package 'exreport' (Fast, Reliable and Elegant Reproducible Research)
 Analysis of experimental results and automatic report generation in both
 interactive HTML and LaTeX. This package ships with a rich interface for
 data modeling and built in functions for the rapid application of
 statistical tests and generation of common plots and tables with
 publish-ready quality.

Package: r-cran-exrq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-exrq_1.0-1.ca2004.1_all.deb
Size: 45500
MD5sum: 0a692f1219ada9df316e856d6e2e00f2
SHA1: b566009f01c378d6324fc0627efd890f38e01b0e
SHA256: e2bc4bf529fdee332900fb61b5460ad6fa7e89eab95eafc447474fd522f875d9
SHA512: 64c84a7fc80d399f296b3b9a2377ea490e9f3de758be90476b1ee5cd5e44474a5b981318185fe1d5d6bac2d37f481c5a7522cf0a5f9a94bd7fd28120723eb20e
Homepage: https://cran.r-project.org/package=EXRQ
Description: CRAN Package 'EXRQ' (Extreme Regression of Quantiles)
 Estimation for high conditional quantiles based on quantile regression.

Package: r-cran-exsic
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 718
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-exsic_1.1.1-1.ca2004.1_all.deb
Size: 164972
MD5sum: 04d9b2b2c5b4cb82d252b8fa03aa6d28
SHA1: e14c5e8863bf2a475003e8bba2036fd08818b8ce
SHA256: 0814fbfc1628b1a053482395a07dcae5d032ef5abb5e3ca72d41cd1f17c6025b
SHA512: 14e3bb904044ff90f27ac98e0860025f6a70ec75e5a3732e9ad020a83e59337e2e1a26f527d79e3a303b8f49b145f59a336f8ea84ac017466f09a624808323fa
Homepage: https://cran.r-project.org/package=exsic
Description: CRAN Package 'exsic' (Convenience Functions for Botanists to Create Specimens Indices)
 The package provides tools for botanists, plant taxonomists, curators of
 plant genebanks and perhaps other biological collections.

Package: r-cran-extdist
Architecture: all
Version: 0.7-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 671
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-numderiv, r-cran-optimx
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-performanceanalytics, r-cran-suppdists, r-cran-truncdist, r-cran-vgam, r-cran-xtable, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-extdist_0.7-3-1.ca2004.1_all.deb
Size: 576844
MD5sum: a5ab43f97f45230fde2c9ddf10e7661d
SHA1: b28b6063842a5ab8368396b372f2e7685fecd1ab
SHA256: d40b537cb505961d8e7d0faef8f5bad468462e5b1b747217e802b36ad5cf7269
SHA512: 60b0be629a6f9aab6bc86baede8e9d96b7df31661e89aa24ab22d093101bea8140769a90a7db9c2cdae8d4e9f2a8d6040e9490a1afd573860afe14e1a7eea667
Homepage: https://cran.r-project.org/package=ExtDist
Description: CRAN Package 'ExtDist' (Extending the Range of Functions for Probability Distributions)
 A consistent, unified and extensible framework for estimation of parameters
 for probability distributions, including parameter estimation procedures
 that allow for weighted samples; the current set of distributions included
 are: the standard beta, The four-parameter beta, Burr, gamma, Gumbel,
 Johnson SB and SU, Laplace, logistic, normal, symmetric truncated normal,
 truncated normal, symmetric-reflected truncated beta, standard
 symmetric-reflected truncated beta, triangular, uniform, and Weibull
 distributions; decision criteria and selections based on these decision
 criteria.

Package: r-cran-extdplyr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-lazyeval
Suggests: r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-extdplyr_0.1.5-1.ca2004.1_all.deb
Size: 34968
MD5sum: 398c7e38bca43ed7b6b45c8a7bfaf89f
SHA1: ed922543a1daee99240a0454bbc05e14489c3d9d
SHA256: cd1f2f02da9d90a77988b470970050d961f79be81abfeb38dcb2cf8c89222f9a
SHA512: 99b6244a35056215e4f420b099e078137571774ec7f9c25eaf2f5160e5b446f079f77ed972acba985af2660396f4c5fef21dfdcfe3c168796fed7c7fdd779c73
Homepage: https://cran.r-project.org/package=extdplyr
Description: CRAN Package 'extdplyr' (Data Manipulation Extensions of 'Dplyr' and 'Tidyr')
 If 'dplyr' is a grammar for data manipulation, 'extdplyr' is like a short
 paragraph written in 'dplyr'. 'extdplyr' extends 'dplyr' and 'tidyr' verbs
 to some common "routines" that manipulate data sets. It uses the same
 interface and preserves all the features from 'dplyr', has good performance,
 and supports various data sources.

Package: r-cran-extendedfamily
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-extendedfamily_0.2.4-1.ca2004.1_all.deb
Size: 35304
MD5sum: 22fc6596e6ef6f01d33bb3d0f9a0fbc2
SHA1: 5fae5a0ce58927d217b33e90bad7792a4b3543cc
SHA256: 73d6d4f05ed50851e7cb1f88ad612fa646690792ccbbcd0fc84ea3342eece487
SHA512: 6f012da488fed4c9c648db7bb3012ff1e4a71449c5fd924fb3b486d428798360e04cb6fb86158877b02742926f9e77b461d6aaf8b743c229bf61fc0f7fc4a68c
Homepage: https://cran.r-project.org/package=extendedFamily
Description: CRAN Package 'extendedFamily' (Additional Families for Generalized Linear Models)
 Creates family objects identical to stats family but for new links.

Package: r-cran-extendedlaplace
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-extendedlaplace_0.1.6-1.ca2004.1_all.deb
Size: 82484
MD5sum: 05b32d853dcdc0a695b2027b923960bb
SHA1: 5727163585071fe6f119fd425425ad7b6db3dc13
SHA256: 7237ebb7856eb06543a0afe89d55c1f104eba7fd0abae4b24d48c06ae5497917
SHA512: 203b078bf0af76ae0147ecceb945e50d17d9d8f94687f3dd18e591e737ff586d01c7cdf3b8c822f5b9f87187f2775999b7ecd7510f9a0d2fb8dbfe058801c755
Homepage: https://cran.r-project.org/package=ExtendedLaplace
Description: CRAN Package 'ExtendedLaplace' (The Extended Laplace Distribution)
 Provides computational tools for working with the Extended Laplace
 distribution, including the probability density function, cumulative
 distribution function, quantile function, random variate generation based on
 convolution with Uniform noise and the quantile-quantile plot. Useful for
 modeling contaminated Laplace data and other applications in robust
 statistics. See Saah and Kozubowski (2025) <doi:10.1016/j.cam.2025.116588>.

Package: r-cran-exteriormatch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-exteriormatch_1.0.0-1.ca2004.1_all.deb
Size: 17872
MD5sum: b4247b0536591e67ac41b0fe73de711c
SHA1: 53ad61bfdc89a4d3fafc468821192b4076569e8b
SHA256: ab28a3899425a601398d3703904961e29608a11e80e6e12bdcf52f42be23222b
SHA512: d792e8f1e151459a3eb5d0186b304989478979325a449e6ede2309b22e4a9988873bbb612c8dbac3f6591596f734254aea29ffc2a74857fbc20ec78813495ca0
Homepage: https://cran.r-project.org/package=exteriorMatch
Description: CRAN Package 'exteriorMatch' (Constructs the Exterior Match from Two Matched Control Groups)
 If one treated group is matched to one control reservoir in two different
 ways to produce two sets of treated-control matched pairs, then the two
 control groups may be entwined, in the sense that some control individuals
 are in both control groups.  The exterior match is used to compare the two
 control groups.

Package: r-cran-extfunnel
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmeta
Filename: pool/dists/focal/main/r-cran-extfunnel_1.3-1.ca2004.1_all.deb
Size: 39556
MD5sum: 83321ac13aa3066480f8ca718ae2a4e2
SHA1: f11562fae202683942a1b133d4df8bdf2ab68501
SHA256: de8640ff4ffa534302c1b3cf4ce2cb8161b5a9185b53e3c6e66a52fcdcd4659b
SHA512: 9316530bf45d75a247c676e7212606c8d58bae6e8592295077e0c3d2f2947fe7c87c059e3dacabf8a51ac99113592f9594e730d9edc527b79a8bcd3a836d4881
Homepage: https://cran.r-project.org/package=extfunnel
Description: CRAN Package 'extfunnel' (Additional Funnel Plot Augmentations)
 This is a package containing the function extfunnel() which produces a
 funnel plot including additional augmentations such as statistical
 significance contours and heterogeneity contours.

Package: r-cran-extlasso
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-extlasso_0.3-1.ca2004.1_all.deb
Size: 116684
MD5sum: 62a8a17633cbada767ecb550055c4a02
SHA1: 99d5dc425c3cab60039cebc1c436a68b2ebe6455
SHA256: 801e81890e17f58699bd29d39b4dfd9dffb03f250c098d7886e383c2b050ffe3
SHA512: dcda6f0eef5b7f49aca5e7b8802fbd6d9f6117a946162f3df3a9a3dd11dcb5e86bc07aca773064a944b7373f8fa865c40199f9936a439d61461eb6d5450bc7b2
Homepage: https://cran.r-project.org/package=extlasso
Description: CRAN Package 'extlasso' (Maximum Penalized Likelihood Estimation with Extended LassoPenalty)
 Estimates coefficients of extended LASSO penalized linear regression and
 generalized linear models. Currently lasso and elastic net penalized linear
 regression and generalized linear models are considered. This package
 currently utilizes an accurate approximation of L1 penalty and then a
 modified Jacobi algorithm to estimate the coefficients. There is provision
 for plotting of the solutions and predictions of coefficients at given
 values of lambda. This package also contains functions for cross validation
 to select a suitable lambda value given the data. Also provides a function
 for estimation in fused lasso penalized linear regression. For more details,
 see Mandal, B. N.(2014). Computational methods for L1 penalized GLM model
 fitting, unpublished report submitted to Macquarie University, NSW,
 Australia.

Package: r-cran-extmallows
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-extmallows_0.1.0-1.ca2004.1_all.deb
Size: 87256
MD5sum: 268acdf68f5a2c63127be59afee3d068
SHA1: 093c3915bd7a7be6eaefcea8f0f9502816ca1b2e
SHA256: 487598711fec9016615e186ec99bfa0437f01c886a01832b5aedd4d5389475c8
SHA512: 7cd59c772ad9486cc14abfea2188731dae6bf014c49b0d34afe60bf5c334a218c6a503308493ddf4f101529776be5944d7140712ba66eb30120b3c51055baf00
Homepage: https://cran.r-project.org/package=ExtMallows
Description: CRAN Package 'ExtMallows' (An Extended Mallows Model and Its Hierarchical Version forRanked Data Aggregation)
 For multiple full/partial ranking lists, R package 'ExtMallows' can (1)
 detect whether the input ranking lists are over-correlated, and (2) use the
 Mallows model or extended Mallows model to integrate the ranking lists, and
 (3) use hierarchical extended Mallows model for rank integration if there
 are groups of over-correlated ranking lists.

Package: r-cran-extractfaers
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-extractfaers_0.1.4-1.ca2004.1_all.deb
Size: 169508
MD5sum: b20a1ba68e0ee16ad07c124015329482
SHA1: d1b719deb4630c77129fb4a94cab35538d25aed3
SHA256: 492ff7548336b14a466c68cdb942d8e9887572b3eb0b402c2272f30003f8f947
SHA512: c4df2d65a4411d5dbf2548c587b01877057fee180c189db5437b5754ec249e664ec038a534c227ba55e9eb4c0ce1d6eb39130d68c508c5d4f016e38a19c0805b
Homepage: https://cran.r-project.org/package=extractFAERS
Description: CRAN Package 'extractFAERS' (Extract Data from FAERS Database)
 Provides functions to extract and process data from the FDA Adverse Event
 Reporting System (FAERS). It facilitates the conversion of raw FAERS data
 published after 2014Q3 into structured formats for analysis. See Yang et al.
 (2022) <doi:10.3389/fphar.2021.772768> for related information.

Package: r-cran-extractox
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-janitor, r-cran-pingr, r-cran-readxl, r-cran-rvest, r-cran-webchem, r-cran-withr
Suggests: r-cran-openxlsx, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-extractox_1.0.0-1.ca2004.1_all.deb
Size: 198508
MD5sum: e64582f8c29d09d3a2be24409c2ede9f
SHA1: 0c7069a58706c3124225e55a0c584d8ce17681be
SHA256: bcffcd9dbd64eaa9fd97d0ab701e1a45c941236e728f9727dddc81e80341db04
SHA512: 7911cca3d4587da49da9a3c7afa69fb3783eda9019518b28e0558eb9b331a0d05315f9eaf368bb8193ec8efeabd59d3f208b8733d41923b4379c02bfcc687b39
Homepage: https://cran.r-project.org/package=extractox
Description: CRAN Package 'extractox' (Extract Tox Info from Various Databases)
 Extract toxicological and chemical information from databases maintained by
 scientific agencies and resources, including the Comparative Toxicogenomics
 Database <https://ctdbase.org/>, the Integrated Chemical Environment
 <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System
 <https://cfpub.epa.gov/ncea/iris/>, Provisional Peer-Reviewed Toxicity
 Values
 <https://www.epa.gov/pprtv/provisional-peer-reviewed-toxicity-values-pprtvs-assessments>,
 the CompTox Chemicals Dashboard Resource Hub
 <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>,
 PubChem <https://pubchem.ncbi.nlm.nih.gov/>, and others.

Package: r-cran-extracttraindata
Architecture: all
Version: 9.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster
Filename: pool/dists/focal/main/r-cran-extracttraindata_9.1.6-1.ca2004.1_all.deb
Size: 624780
MD5sum: eedeafd57b823c45d43cd56da118a568
SHA1: 4cbd8ea2f139a10f9e8af0c79a6d6a767d0df7f0
SHA256: 8664b32a4d54690f1bb573c70d1a45ea2fae55cac9213a2803982d520573fb55
SHA512: f9dcb8a5b449a93a82a2013ec98579a44083e01f75647a5082a9a4c0f2ace3967b7c2eb55fccdc5d41718b6bdda6e8c6fa0596696d0cd7b2040477f009c52b45
Homepage: https://cran.r-project.org/package=ExtractTrainData
Description: CRAN Package 'ExtractTrainData' (Extract Values from Raster)
 By using a multispectral image and ESRI shapefile (Point/ Line/ Polygon), a
 data table will be generated for classification, regression or other
 processing. The data table will be contained by band wise raster values and
 shapefile ids (User Defined).

Package: r-cran-extrafont
Architecture: all
Version: 0.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-extrafontdb, r-cran-rttf2pt1
Suggests: r-cran-fontcm
Filename: pool/dists/focal/main/r-cran-extrafont_0.19-1.ca2004.1_all.deb
Size: 55176
MD5sum: 25dc1f5328b46b3dae4f94d07dbeec01
SHA1: fb38c62d6758d4ce7adb6b38f9b51f1265ace99e
SHA256: ebe6c9a7000935c9b47dd5e8ced1f069ef7b59efc310f18c5c64e66cbb31e482
SHA512: b0b57f5031606fb7e4d3d206fa0f9662028057ebf44657c39ca719352de583ac57f064ffcff932ffc76df06982266b7aeb1f7209545cf17c543cc4008786dbad
Homepage: https://cran.r-project.org/package=extrafont
Description: CRAN Package 'extrafont' (Tools for Using Fonts)
 Tools to using fonts other than the standard PostScript fonts.  This package
 makes it easy to use system TrueType fonts and with PDF or PostScript output
 files, and with bitmap output files in Windows. extrafont can also be used
 with fonts packaged specifically to be used with, such as the fontcm
 package, which has Computer Modern PostScript fonts with math symbols.

Package: r-cran-extrafontdb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-extrafontdb_1.0-1.ca2004.1_all.deb
Size: 8296
MD5sum: 8c1a74e05b52f9e5c6c413b3f1b5b378
SHA1: c228326fa0d8d6fa046ac89bafd3b7b9ae61d84c
SHA256: 0be6a8aa281d4d5487c4c7bd574ab78d4d94047361d49752cab95f7d1bdb2b80
SHA512: 18f7fcb0d5d2287bf10867c1aa2ced30367f19455c891211431995491ae2711a98091576de69e081e459b75215d14f97cdbd0d5a8a073b20674305ce8972e6ba
Homepage: https://cran.r-project.org/package=extrafontdb
Description: CRAN Package 'extrafontdb' (Package for holding the database for the extrafont package)
 Package for holding the database for the extrafont package

Package: r-cran-extrafrail
Architecture: all
Version: 1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-pracma, r-cran-expint, r-cran-msm
Suggests: r-cran-frailtyhl
Filename: pool/dists/focal/main/r-cran-extrafrail_1.13-1.ca2004.1_all.deb
Size: 286492
MD5sum: 9dc9693a2d4bd08b8d478d001741a8b2
SHA1: 44a8c29d7759db19da5b95f8f9d3bdad2ff914d4
SHA256: 79c77caf2c4d261f2570da783b2fda2dbf823a7a98da256262cb7743a9bc31dc
SHA512: 7f9abf379a53f6c4f33620e001a292ec7cdbae30fd16d1d00430f3d63b711925c87b2421df1917546be7797a090e8982d94b122c860b4b814e27fdf43d632621
Homepage: https://cran.r-project.org/package=extrafrail
Description: CRAN Package 'extrafrail' (Estimation and Additional Tools for Alternative Shared FrailtyModels)
 Provide estimation and data generation tools for some new multivariate
 frailty models.  This version includes the gamma, inverse Gaussian, weighted
 Lindley, Birnbaum-Saunders, truncated normal, mixture of inverse Gaussian,
 mixture of Birnbaum-Saunders and generalized exponential as the distribution
 for the frailty terms. For the basal model, it is considered a parametric
 approach based on the exponential, Weibull and the piecewise exponential
 distributions as well as a semiparametric approach.  For details, see
 Gallardo and Bourguignon (2025) <doi:10.1002/bimj.70044> and Gallardo et al.
 (2024) <doi:10.1007/s11222-024-10458-w>.

Package: r-cran-extraoperators
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-extraoperators_0.3.0-1.ca2004.1_all.deb
Size: 63696
MD5sum: 8ef08b523acd2b4679b8555bd995a721
SHA1: c18d09f28cc6321073205bf9b8ecf95293f49103
SHA256: b9f10d2dd49b405b53ad3642de5f8076b9ff9662032b5ff636c26e522c5f4a42
SHA512: 984b343d33179dab46de4e0d314c7576c17fccca35826e4ad5baaa96531ef7657363c6b21e329cb7d0049a73484a063ccb4c0e49a249884d4e6f7e910159a2bb
Homepage: https://cran.r-project.org/package=extraoperators
Description: CRAN Package 'extraoperators' (Extra Binary Relational and Logical Operators)
 Speed up common tasks, particularly logical or relational comparisons and
 routine follow up tasks such as finding the indices and subsetting. Inspired
 by mathematics, where something like: 3 < x < 6 is a standard, elegant and
 clear way to assert that x is both greater than 3 and less than 6 (see for
 example <https://en.wikipedia.org/wiki/Relational_operator>), a chaining
 operator is implemented. The chaining operator, %c%, allows multiple
 relational operations to be used in quotes on the right hand side for the
 same object, on the left hand side.  The %e% operator allows something like
 set-builder notation (see for example
 <https://en.wikipedia.org/wiki/Set-builder_notation>) to be used on the
 right hand side.  All operators have built in prefixes defined for all,
 subset, and which to reduce the amount of code needed for common tasks, such
 as return those values that are true.

Package: r-cran-extras
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 718
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-hms, r-cran-knitr, r-cran-memoise, r-cran-rlang, r-cran-rmarkdown, r-cran-scales, r-cran-sn, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-extras_0.8.0-1.ca2004.1_all.deb
Size: 521076
MD5sum: fe75e62df0a9d8f2fc69a28d663eec17
SHA1: ff484e27bc85779d93d719118a0712e26496aea5
SHA256: 1301f8c203909a04281534baadb6e8b92bc269b982816a1d61fc31f361f29fea
SHA512: 2de70e94c6bb7c664dcd83eb09d8683b3b75a4adebf31fc2f983996f8895e8e115daa8ac8854d76b4c877b7566c0d360d4742f155ab8c15cda74d6d7422b6952
Homepage: https://cran.r-project.org/package=extras
Description: CRAN Package 'extras' (Helper Functions for Bayesian Analyses)
 Functions to 'numericise' 'R' objects (coerce to numeric objects), summarise
 'MCMC' (Monte Carlo Markov Chain) samples and calculate deviance residuals
 as well as 'R' translations of some 'BUGS' (Bayesian Using Gibbs Sampling),
 'JAGS' (Just Another Gibbs Sampler), 'STAN' and 'TMB' (Template Model
 Builder) functions.

Package: r-cran-extrasteps
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-recipes, r-cran-dplyr, r-cran-generics, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-almanac, r-cran-ggplot2, r-cran-modeldata, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-extrasteps_0.1.0-1.ca2004.1_all.deb
Size: 267392
MD5sum: 9bcd0903d538c8e2d4c1521bfaebb321
SHA1: f504fa5138d92cb9e0e04526c3865f8c6c61e05a
SHA256: 0282e11e0e70d0bdd4c032fc2c2547b7567698e61fee3a46a680a3f647047330
SHA512: e748d7f7d523101010f2a9ccb81e87dbc9d29700dc3d48789fb14c925c7e19b98a95ca88c3202b2705af1f5331a03df33022269ca9d31818ddf5e1b8b3d27a7e
Homepage: https://cran.r-project.org/package=extrasteps
Description: CRAN Package 'extrasteps' (More Miscellaneous Steps for the 'recipes' Package)
 Contains additional miscellaneous steps for the 'recipes' package.  These
 steps are useful, but doesn't have a good home in other 'recipes' packages
 or its extensions.

Package: r-cran-extraterrestrial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-extraterrestrial_0.1.0-1.ca2004.1_all.deb
Size: 15516
MD5sum: 819d1e0a686dc24cea87c880e9682ea7
SHA1: d28c30215fbe3b0430b826d63980e379a03d2500
SHA256: d95ffc47b8fcb5b4c17bbc7ef26dddd03e86535f6998b053c4773acede2a05e5
SHA512: fa53a05ca2c332a41a45b0b80735ba8145f625507899d8316d299608324d24e69bc97d3f7ee3ad160e971eeca023adde7e2cd31d54d447e387d876c288ece147
Homepage: https://cran.r-project.org/package=extraterrestrial
Description: CRAN Package 'extraterrestrial' (Astrobiology Equations Estimating Extraterrestrial Life)
 Finding life outside the planet Earth several is the ultimate goal of an
 astrobiologist. Using known astronomical measurements and assumptions the
 probability of extraterrestrial life existence could be estimated. Equations
 such as the Drake equation (1961) as stated in the paper of Molina (2019)
 <arXiv:1912.01783>, Seager (2013)
 <https://www.space.com/22648-drake-equation-alien-life-seager.html> and
 Foucher et al, (2017) <doi:10.3390/life7040040> are included in the
 'extraterrestrial' package.

Package: r-cran-extratrees
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Suggests: r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-extratrees_1.0.5-1.ca2004.1_all.deb
Size: 170860
MD5sum: d2ead4f5177b0fb2f126f2b24d83a20b
SHA1: 3d80a7d5e28164859a23fb0056dd82ac42cd7c29
SHA256: 8ede1d25708bd7b21f603a1a9b616266d866bb1f87ba9454ea44da591b724489
SHA512: 21abdb54f47ca3cf218c4de18242058ad92f52ec01fe9c542cfc9a79bc897864bd03ca3728d3b411dd37a79befcb7a56dc07300c940dce35370c351d7009f2d3
Homepage: https://cran.r-project.org/package=extraTrees
Description: CRAN Package 'extraTrees' (Extremely Randomized Trees (ExtraTrees) Method forClassification and Regression)
 Classification and regression based on an ensemble of decision trees. The
 package also provides extensions of ExtraTrees to multi-task learning and
 quantile regression. Uses Java implementation of the method.

Package: r-cran-extratum
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-extratum_1.0.4-1.ca2004.1_all.deb
Size: 35360
MD5sum: b8bb387e8fc6d27cfe462f6290feb8e7
SHA1: 20cb8c281ae961ddb6344acc8ba9b72177006f35
SHA256: e02beb485299f422751e3d14e7e76589a48f822d4dd95310929fd126193b1410
SHA512: cb13dadba3a464b57eecb207ae5aae65f01f14be90242ed7e3ef430dda44fc79b97397799b940f6c400d436dcbdaec9666e2cba84839f89dfe20c2c3fe6646a8
Homepage: https://cran.r-project.org/package=extRatum
Description: CRAN Package 'extRatum' (Summary Statistics for Geospatial Features)
 Provides summary statistics of local geospatial features within a given
 geographic area.  It does so by calculating the area covered by a target
 geospatial feature (i.e. buildings, parks, lakes, etc.).  The geospatial
 features can be of any type of geospatial data, including point, polygon or
 line data.

Package: r-cran-extrc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-extrc_1.2-1.ca2004.1_all.deb
Size: 62436
MD5sum: 3f77c21dc10fa96ac07da390dbf58868
SHA1: d94a3bf7ea9d0a4522fd889455b2d39ce635a9bc
SHA256: 2bd8abdf3d5b4650a118e3a85b6c748bbc2ce5d433fabf8cac1098c86cc3f236
SHA512: 13a7882a0c0bbded64b65376adcdd3f7ca28f98b79d502cd2c2fbc5ad3d973818f9e94095ab84c89c07c0bd23fb4e2e7797a5461eacc57ba5774f5ff7e88515c
Homepage: https://cran.r-project.org/package=extRC
Description: CRAN Package 'extRC' (Extended RC Models for Contingency Tables)
 Maximum likelihood estimation of an extended class of row-column (RC)
 association models for two-dimensional contingency tables, which are
 formulated by a condition of reduced rank on a matrix of extended
 association parameters; see Forcina (2019) <arXiv:1910.13848>. These
 parameters are defined by choosing the logit type for the row and column
 variables among four different options and a transformation derived from
 suitable divergence measures.

Package: r-cran-extremebounds
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-extremebounds_0.1.7-1.ca2004.1_all.deb
Size: 350316
MD5sum: 4917a2699b35f670e178b133730c953d
SHA1: 225710e1d476e9d970d6e207caa621405507dcc2
SHA256: 55886fa5df3b7a2651ceec09adb2d81f77f091fe34e8b77d2f35d625c1a2dd2f
SHA512: 322f724223ab49900e2c76369e440faa3db0ed7a658c712af82730d1e9e4b99f893bf557a2ee5090cd06f040cdb2270701cea94be208a373483298a024a2ec7e
Homepage: https://cran.r-project.org/package=ExtremeBounds
Description: CRAN Package 'ExtremeBounds' (Extreme Bounds Analysis (EBA))
 An implementation of Extreme Bounds Analysis (EBA), a global sensitivity
 analysis that examines the robustness of determinants in regression models.
 The package supports both Leamer's and Sala-i-Martin's versions of EBA, and
 allows users to customize all aspects of the analysis.

Package: r-cran-extremefit
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3128
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-survival, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-extremefit_1.0.3-1.ca2004.1_all.deb
Size: 2796724
MD5sum: 9f6dd82fcffe5a2df889381b3c198fc5
SHA1: 0b80cc2634e71a24d25dd9e65734861c3e559bfe
SHA256: d9f9a99f246b4a513884e431ff2311ca5d7f4f2578586d16c40bfac0b92dc63f
SHA512: adabdd03cb4d97288fab077ea5d149c345d84f255909606f38744e6a264f9612c2da21ef7d97040b5a83576957eb471997db15903c3a51f2a83cc3c25525f198
Homepage: https://cran.r-project.org/package=extremefit
Description: CRAN Package 'extremefit' (Estimation of Extreme Conditional Quantiles and Probabilities)
 Extreme value theory, nonparametric kernel estimation, tail conditional
 probabilities, extreme conditional quantile, adaptive estimation, quantile
 regression, survival probabilities.

Package: r-cran-extremeindex
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 831
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-evd, r-cran-gmm, r-cran-evir
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-extremeindex_0.0.3-1.ca2004.1_all.deb
Size: 805764
MD5sum: 03170471e68c6ad150d772ca0e6b59f7
SHA1: edaa11df22f0b7684d8cdf1e65324885d938064c
SHA256: 2bb61d2b0d11c70868e99c0517c67345c3b4bf45feeb0f2d86013ccea4daeca8
SHA512: 612fd8411e101ffe59b8bef83c9486e17d6bfa14a8c0733eb232f6fb846c433f38f80b864bcc5b5dc043fddd99fde7fe9e0352aae1f62c6c7ff527ab28a9c76e
Homepage: https://cran.r-project.org/package=extremeIndex
Description: CRAN Package 'extremeIndex' (Forecast Verification for Extreme Events)
 An index measuring the amount of information brought by forecasts for
 extreme events, subject to calibration, is computed. This index is
 originally designed for weather or climate forecasts, but it may be used in
 other forecasting contexts. This is the implementation of the index in
 Taillardat et al. (2019) <arXiv:1905.04022>.

Package: r-cran-extremes
Architecture: all
Version: 2.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1158
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lmoments, r-cran-distillery
Suggests: r-cran-fields
Filename: pool/dists/focal/main/r-cran-extremes_2.2-1-1.ca2004.1_all.deb
Size: 1121692
MD5sum: 0a1a3f6f3b2ee5bb146548be7f96f3d3
SHA1: 73eb3c8a2752394588a016532811e7c6dde0ec8a
SHA256: b4384f01dbd5cb4fe5cf02fbe72983565be8e16ba4d4a5a9fcd4542b0418cccc
SHA512: 87b842475385c55d580e64d8138ac06caec153a602e928d77b22c10661e906b2a8efdcec4c331020207ffbd4861527a50ae918964b82e2acdc7519b2f0844360
Homepage: https://cran.r-project.org/package=extRemes
Description: CRAN Package 'extRemes' (Extreme Value Analysis)
 General functions for performing extreme value analysis.  In particular,
 allows for inclusion of covariates into the parameters of the extreme-value
 distributions, as well as estimation through MLE, L-moments, generalized
 (penalized) MLE (GMLE), as well as Bayes.  Inference methods include
 parametric normal approximation, profile-likelihood, Bayes, and
 bootstrapping.  Some bivariate functionality and dependence checking (e.g.,
 auto-tail dependence function plot, extremal index estimation) is also
 included.  For a tutorial, see Gilleland and Katz (2016) <doi:
 10.18637/jss.v072.i08> and for bootstrapping, please see Gilleland (2020)
 <doi: 10.1175/JTECH-D-20-0070.1>.

Package: r-cran-extremestat
Architecture: all
Version: 1.5.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lmomco, r-cran-berryfunctions, r-cran-pbapply, r-cran-rcolorbrewer, r-cran-evir, r-cran-ismev, r-cran-fextremes, r-cran-extremes, r-cran-evd, r-cran-renext
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-extremestat_1.5.9-1.ca2004.1_all.deb
Size: 697112
MD5sum: 20b34c0e00e359d0632e8725ce001c46
SHA1: e60772bb5c35d9c5bc638160eee80363cd8175f1
SHA256: f25600d24cbb51496746702534b0cac260abe7d63253191e332bbf07669fa1ed
SHA512: cc70f68f0fa22ad456d3142ab5d68f03aca43310ad5acdfcb9609e7e4900d139fc5522479bbb2583c36e7dd6600508239a23803449fac0d5f6269d3c208c3ddd
Homepage: https://cran.r-project.org/package=extremeStat
Description: CRAN Package 'extremeStat' (Extreme Value Statistics and Quantile Estimation)
 Fit, plot and compare several (extreme value) distribution functions.
 Compute (truncated) distribution quantile estimates and plot return periods
 on a linear scale.  On the fitting method, see Asquith (2011):
 Distributional Analysis with L-moment Statistics [...] ISBN 1463508417.

Package: r-cran-extremevalues
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-extremevalues_2.4.1-1.ca2004.1_all.deb
Size: 407508
MD5sum: fc924d5a4616bb50e2d81f5cfd3dcd80
SHA1: 4303ed7f9178714467eeb7a649983adfa2800d7b
SHA256: 0cdca9c8c3c3c1c25f3d1bf321052bb38f2f2a9fb228a055e637d022e53830f2
SHA512: 92101f76599d9440ab6d01fa7485d2319000a1d8d22284845f5c42692cadc8b4ca23be43c223a7336e23b087cb7e80904b3937d336c66eb4fd8a9b9babe8aace
Homepage: https://cran.r-project.org/package=extremevalues
Description: CRAN Package 'extremevalues' (Univariate Outlier Detection)
 Detect outliers in one-dimensional data.

Package: r-cran-extremogram
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-mass
Filename: pool/dists/focal/main/r-cran-extremogram_1.0.2-1.ca2004.1_all.deb
Size: 67608
MD5sum: ec2b4c451c67b012739774301f567be7
SHA1: 81cc2d08eeaefd8e63ea57249ae14851d370eb78
SHA256: b36b71e5212ae3b28ff293e484e4c85d3a402c16e0e4f9a983ca6cd6902767d0
SHA512: b134dcfa40dc355eba38bc09ac238105286e3f0ca4d8b19adb7f4d40dd709a1f320620a1a8ec261f1058abd70b18ebd8211b7f2186359bf20c059bfa1d33b432
Homepage: https://cran.r-project.org/package=extremogram
Description: CRAN Package 'extremogram' (Estimation of Extreme Value Dependence for Time Series Data)
 Estimation of the sample univariate, cross and return time extremograms. The
 package can also adds empirical confidence bands to each of the extremogram
 plots via a permutation procedure under the assumption that the data are
 independent. Finally, the stationary bootstrap allows us to construct
 credible confidence bands for the extremograms.

Package: r-cran-extrpatt
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1814
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-doparallel, r-cran-foreach, r-cran-mass
Filename: pool/dists/focal/main/r-cran-extrpatt_0.1-4-1.ca2004.1_all.deb
Size: 1766128
MD5sum: 943d67356dd630c3725511e6d8e98fb0
SHA1: b918ecb2719b9898e7ce41ecb7d161f3d299ca77
SHA256: 833bb00705da12e2643f333748f071dd91caaa1991bf6ba50463c291bdbd892d
SHA512: 779c0c74a5b6142d85bf3bae78fac29a33d4ea179ef5cc540b4a956dda2c539a6fee285fedfc90794b5583ce18d87b05105b55cedfcbee0238ba686dc6a0cd84
Homepage: https://cran.r-project.org/package=ExtrPatt
Description: CRAN Package 'ExtrPatt' (Spatial Dependencies and Indices for Extremes)
 An implementation of 1) the tail pairwise dependence matrix (TPDM) as
 described in Jiang & Cooley (2020) <doi:10.1175/JCLI-D-19-0413.1> 2) the
 extremal pattern index (EPI) as described in Szemkus & Friederichs ('Spatial
 patterns and indices for heatwave and droughts over Europe using a
 decomposition of extremal dependency'; submitted to ASCMO 2023).

Package: r-cran-exvatools
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-openxlsx, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-exvatools_0.9.0-1.ca2004.1_all.deb
Size: 404968
MD5sum: 877d0b0167d4bca04100529e6da37c4f
SHA1: e364657d1f837358d415988addc66ce6eb773fdb
SHA256: e6cb7d30cd96e4ab6071b1710eb68ef2c5cc901e6ea44be91b3c089951289c1d
SHA512: 5b1c05c66bc47e91a80f9fbf3da8fc60a6a8bd9968db6c7ac4d8a4dbca6dc463faaf8f6d6c55480fc5afa204adf2a843d3bf09d5fcc2ee07f77799131d8a3b6a
Homepage: https://cran.r-project.org/package=exvatools
Description: CRAN Package 'exvatools' (Value Added in Exports and Other Input-Output Table AnalysisTools)
 Analysis of trade in value added with international input-output tables.
 Includes commands for easy data extraction, matrix manipulation,
 decomposition of value added in gross exports and calculation of value added
 indicators, with full geographical and sector customization.  Decomposition
 methods include Borin and Mancini (2023)
 <doi:10.1080/09535314.2022.2153221>, Miroudot and Ye (2021)
 <doi:10.1080/09535314.2020.1730308>, Wang et al. (2013)
 <https://econpapers.repec.org/paper/nbrnberwo/19677.htm> and Koopman et al.
 (2014) <doi:10.1257/aer.104.2.459>.

Package: r-cran-eye
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-english, r-cran-lubridate, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-eyedata, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eye_1.2.1-1.ca2004.1_all.deb
Size: 190564
MD5sum: ea0406969cf0ed1b78a06e3b4328edd7
SHA1: 67b73860ecfe36ad73d37068e5c0d635ee5371b7
SHA256: 7656f6dfe5c7d5e43338ca95a0a00a973f91f94deeda631ec2a1898e7fcf1ab4
SHA512: d50f2429e80840669d8c60293cdfc94efbc5210398d941f07c94ec3d57207365fe238c7e3b34884260a813f8bbbb4a047f0b2cb595d8c3659d44e3107bb2b613
Homepage: https://cran.r-project.org/package=eye
Description: CRAN Package 'eye' (Analysis of Eye Data)
 There is no ophthalmic researcher who has not had headaches from the
 handling of visual acuity entries. Different notations, untidy entries.
 This shall now be a matter of the past. Eye makes it as easy as pie to work
 with VA data - easy cleaning, easy conversion between Snellen, logMAR, ETDRS
 letters, and qualitative visual acuity shall never pester you again. The eye
 package automates the pesky task to count number of patients and eyes, and
 can help to clean data with easy re-coding for right and left eyes.  It also
 contains functions to help reshaping eye side specific variables between
 wide and long format. Visual acuity conversion is based on Schulze-Bonsel et
 al. (2006) <doi:10.1167/iovs.05-0981>, Gregori et al. (2010)
 <doi:10.1097/iae.0b013e3181d87e04>, Beck et al. (2003)
 <doi:10.1016/s0002-9394(02)01825-1> and Bach (2007)
 <http:michaelbach.de/sci/acuity.html>.

Package: r-cran-eyedata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 984
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-eyedata_0.1.0-1.ca2004.1_all.deb
Size: 950080
MD5sum: b834580fe1e95d9a650fb9c0f75e201c
SHA1: 88749fc94acb43f8d9ca31498d586a597398884b
SHA256: c3d7808326aa4804df1b40f63187dbadf021d9f1e8ccc63d8a8be25ca0605135
SHA512: de1337587d4981e6c4914872357707ebc2f01d661ba91254b7ec2a770e3f58577d8f38e7db2198260dc1837a1a48ce11a2babfbaddc8c332c69dcb78192456ea
Homepage: https://cran.r-project.org/package=eyedata
Description: CRAN Package 'eyedata' (Open Source Ophthalmic Data Sets Curated for R)
 Open source data allows for reproducible research and helps advance our
 knowledge. The purpose of this package is to collate open source ophthalmic
 data sets curated for direct use. This is real life data of people with
 intravitreal injections with anti-vascular endothelial growth factor
 (anti-VEGF), due to age-related macular degeneration or diabetic macular
 edema. Associated publications of the data sets: Fu et al. (2020)
 <doi:10.1001/jamaophthalmol.2020.5044>, Moraes et al (2020)
 <doi:10.1016/j.ophtha.2020.09.025>, Fasler et al. (2019)
 <doi:10.1136/bmjopen-2018-027441>, Arpa et al. (2020)
 <doi:10.1136/bjophthalmol-2020-317161>, Kern et al. 2020,
 <doi:10.1038/s41433-020-1048-0>.

Package: r-cran-eyelinker
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1845
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-readr, r-cran-intervals
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-eyelinker_0.2.1-1.ca2004.1_all.deb
Size: 1560572
MD5sum: 2aeabaa13af9ef63b56b2022cd80997f
SHA1: 564b6263feadf7cd86312581e93591ddcdfcfe41
SHA256: 9a0008b5605d161434fdecbfba25649c9372cd81eee9cac78b74aaf65b4658fd
SHA512: ccc31fcba901cec81dd3e27674194c54ea0dc7ab09f93e1e5a22cc6effc320cb314d888dd75393a3596bb009284bb2686b578aadb219b211d0be86985fee950c
Homepage: https://cran.r-project.org/package=eyelinker
Description: CRAN Package 'eyelinker' (Import ASC Files from EyeLink Eye Trackers)
 Imports plain-text ASC data files from EyeLink eye trackers into
 (relatively) tidy data frames for analysis and visualization.

Package: r-cran-eyeread
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-data.table, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-eyeread_0.0.4-1.ca2004.1_all.deb
Size: 52516
MD5sum: 902903e7e402398db063f8cacaae5f90
SHA1: 0c591f6b3bcf24f3f86ecb7af37d6103286a9e0d
SHA256: 20b81e2ae41218c2206c5a2d4f7737af22a2cb96ec784212526bcb6b9b8c9aaa
SHA512: 8a45eb80861459aa4872f7053e24293f9d6b3066a77720f87e1d4f4892f7be13c79c2557878d1f04280347861decd73df17c4ea8543f3d3d3bebe5ace8d5ef8e
Homepage: https://cran.r-project.org/package=eyeRead
Description: CRAN Package 'eyeRead' (Prepare/Analyse Eye Tracking Data for Reading)
 Functions to prepare and analyse eye tracking data of reading exercises. The
 functions allow some basic data preparations and code fixations as first and
 second pass. First passes can be further devided into forward and reading.
 The package further allows for aggregating fixation times per AOI or per AOI
 and per type of pass (first forward, first rereading, second). These methods
 are based on Hyönä, Lorch, and Rinck (2003)
 <doi:10.1016/B978-044451020-4/50018-9> and Hyönä, and Lorch (2004)
 <doi:10.1016/j.learninstruc.2004.01.001>. It is also possible to convert
 between metric length and visual degrees.

Package: r-cran-eyeris
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4895
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-eyelinker, r-cran-dplyr, r-cran-gsignal, r-cran-purrr, r-cran-zoo, r-cran-cli, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-progress, r-cran-data.table, r-cran-withr, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eyeris_1.2.1-1.ca2004.1_all.deb
Size: 2935780
MD5sum: 0dfec486436a729003eb701f91a72b98
SHA1: aee55a911ab216f2519c34391ba678a016d0604b
SHA256: 4eef68781d1f6f2a772aff6a2967d199f62a3a55f225f3f0fffdd03008f4d21f
SHA512: 606f320ead8505cb289babf99116e282c61f2afad6d5a4434a4b07b3cd413fe3e9fa42c1f499057cd0f6d2da330ad0828dbf4db4727a8ec745a455304a25282f
Homepage: https://cran.r-project.org/package=eyeris
Description: CRAN Package 'eyeris' (Flexible, Extensible, & Reproducible Pupillometry Preprocessing)
 Pupillometry offers a non-invasive window into the mind and has been used
 extensively as a psychophysiological readout of arousal signals linked with
 cognitive processes like attention, stress, and emotional states [Clewett et
 al. (2020) <doi:10.1038/s41467-020-17851-9>; Kret & Sjak-Shie (2018)
 <doi:10.3758/s13428-018-1075-y>; Strauch (2024)
 <doi:10.1016/j.tins.2024.06.002>]. Yet, despite decades of pupillometry
 research, many established packages and workflows to date unfortunately lack
 design patterns based on Findability, Accessibility, Interoperability, and
 Reusability (FAIR) principles [see Wilkinson et al. (2016)
 <doi:10.1038/sdata.2016.18>]. 'eyeris', on the other hand, follows a design
 philosophy that provides users with an intuitive, modular, performant, and
 extensible pupillometry data preprocessing framework out-of-the-box.
 'eyeris' introduces a Brain Imaging Data Structure (BIDS)-like organization
 for derivative (i.e., preprocessed) pupillometry data as well as an
 intuitive workflow for inspecting preprocessed pupil epochs using
 interactive output report files [Esteban et al. (2019)
 <doi:10.1038/s41592-018-0235-4>; Gorgolewski et al. (2016)
 <doi:10.1038/sdata.2016.44>].

Package: r-cran-eyetools
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4065
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggforce, r-cran-ggplot2, r-cran-viridis, r-cran-glue, r-cran-hdf5r, r-cran-lifecycle, r-cran-magick, r-cran-pbapply, r-cran-rlang, r-cran-zoo, r-cran-png
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-eyetools_0.9.2-1.ca2004.1_all.deb
Size: 3654916
MD5sum: d7deae86b63d3764d34b8fb88092c001
SHA1: 74fe9a9921d2041d7a229265360afb336381510c
SHA256: ca0af38fcd23c12bfc068ec214ae75ce6bb41ed313b67a5beea90fe8915314ce
SHA512: 9ae9b296af1b406523ff086fb71ce68d58eb4d0611d1c310a42b22315513e4dd94ab06f8161deeebf37cd64f2ee28573dc742119ca5df4b304208b84776e12a3
Homepage: https://cran.r-project.org/package=eyetools
Description: CRAN Package 'eyetools' (Analyse Eye Data)
 Enables the automation of actions across the pipeline, including initial
 steps of transforming binocular data and gap repair to event-based
 processing such as fixations, saccades, and entry/duration in Areas of
 Interest (AOIs). It also offers visualisation of eye movement and AOI
 entries. These tools take relatively raw (trial, time, x, and y form) data
 and can be used to return fixations, saccades, and AOI entries and time
 spent in AOIs. As the tools rely on this basic data format, the functions
 can work with data from any eye tracking device. Implements fixation and
 saccade detection using methods proposed by Salvucci and Goldberg (2000)
 <doi:10.1145/355017.355028>.

Package: r-cran-eyetracking
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-eyetracking_1.1-1.ca2004.1_all.deb
Size: 14976
MD5sum: d364e24e3bd181f7cf8c85a9c6e67c70
SHA1: 88d557082c1bfd7850b33697a67db8cd6cd06823
SHA256: a09f00963766593ae60d1f83a151548ea0da1da5170ec9d28ce30d4edad35f3a
SHA512: 6c59831e43960e20a5a3cf1fdf180b240963436e4d19f4f8cbb8f16caba70d6482e384d9451ca45bf12b2744bdbff1d3e91255bff865776d8aca453f8d5bb6b0
Homepage: https://cran.r-project.org/package=eyetracking
Description: CRAN Package 'eyetracking' (Eyetracking Helper Functions)
 Misc function for working with eyetracking data

Package: r-cran-eyetrackingr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1784
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-broom, r-cran-broom.mixed, r-cran-ggplot2, r-cran-lazyeval, r-cran-rlang, r-cran-zoo, r-cran-tidyr, r-cran-purrr
Suggests: r-cran-pbapply, r-cran-knitr, r-cran-lme4, r-cran-glmmtmb, r-cran-mass, r-cran-matrix, r-cran-testthat, r-cran-rmarkdown, r-cran-domc, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-eyetrackingr_0.2.2-1.ca2004.1_all.deb
Size: 893556
MD5sum: c1ee39fa7fc2529fd63c27b562e8817b
SHA1: 699b162066b36568d8ccc9c06cb53a3ea22c6d51
SHA256: 3860390501b9b5afd870e7615dd3abc7b49dbe9bd2839cda286a491e2ae1f0a9
SHA512: 258f430b7c4732549d98aa8190f035a3056396cd099f616454a87f639a5c19762d27c309b4c4b3edba7d2975d4dd8648f79b002d8b0184a05dd97696fba890d0
Homepage: https://cran.r-project.org/package=eyetrackingR
Description: CRAN Package 'eyetrackingR' (Eye-Tracking Data Analysis)
 Addresses tasks along the pipeline from raw data to analysis and
 visualization for eye-tracking data. Offers several popular types of
 analyses, including linear and growth curve time analyses, onset-contingent
 reaction time analyses, as well as several non-parametric bootstrapping
 approaches. For references to the approach see Mirman, Dixon & Magnuson
 (2008) <doi:10.1016/j.jml.2007.11.006>, and Barr (2008)
 <doi:10.1016/j.jml.2007.09.002>.

Package: r-cran-eyetrackr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2906
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-eyetrackr_1.0.1-1.ca2004.1_all.deb
Size: 2938848
MD5sum: 52098f001513a252a9f57412a448ef08
SHA1: 55d67a1e490f0272d3450af76cdadb8b596a1ba4
SHA256: 01c0cee27dbd8a94599f1c1ab07e647bb46ce5d0244d62ea6f4aa2924153fd31
SHA512: 66e3063b910d20d102043bd2f851e7b18f9da9feae967ecde89ed232a2ec83bcac4078023c2b4da2b51f9d639658d0558364638e6edc1ea4d6232c81646f5740
Homepage: https://cran.r-project.org/package=eyeTrackR
Description: CRAN Package 'eyeTrackR' (Organising and Analysing Eye-Tracking Data)
 A set of functions for organising and analysing datasets from experiments
 run using 'Eyelink' eye-trackers. Organising functions help to clean and
 prepare eye-tracking datasets for analysis, and mark up key events such as
 display changes and responses made by participants.  Analysing functions
 help to create means for a wide range of standard measures (such as 'mean
 fixation durations'), which can then be fed into the appropriate statistical
 analyses and graphing packages as necessary.

Package: r-cran-ez.combat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ez.combat_1.0.0-1.ca2004.1_all.deb
Size: 28728
MD5sum: 2dfe5d450801f37b4f802ada57618be8
SHA1: c559a23297232fa515c67aff80abdbe223e9a17d
SHA256: 393bbb86f027cb08686e58201f888334bbdca3ba7b7d9bbc9d7e247542b29471
SHA512: 6fca04833be0c1b550429c0930c84488ac6bb3f6558e279d39c4dc2cc47d9c9c4d08bb7fbd4b1665355934e2ea138a0b60e24b9323045d97858e6df8a0aee1ca
Homepage: https://cran.r-project.org/package=ez.combat
Description: CRAN Package 'ez.combat' (Easy ComBat Harmonization)
 A dataframe-friendly implementation of ComBat Harmonization which uses an
 empirical Bayesian framework to remove batch effects.  Johnson WE & Li C
 (2007) <doi:10.1093/biostatistics/kxj037> "Adjusting batch effects in
 microarray expression data using empirical Bayes methods."  Fortin J-P,
 Cullen N, Sheline YI, Taylor WD, Aselcioglu I, Cook PA, Adams P, Cooper C,
 Fava M, McGrath PJ, McInnes M, Phillips ML, Trivedi MH, Weissman MM, &
 Shinohara RT (2017) <doi:10.1016/j.neuroimage.2017.11.024> "Harmonization of
 cortical thickness measurements across scanners and sites."  Fortin J-P,
 Parker D, Tun<e7> B, Watanabe T, Elliott MA, Ruparel K, Roalf DR,
 Satterthwaite TD, Gur RC, Gur RE, Schultz RT, Verma R, & Shinohara RT (2017)
 <doi:10.1016/j.neuroimage.2017.08.047> "Harmonization of multi-site
 diffusion tensor imaging data."

Package: r-cran-ez
Architecture: all
Version: 4.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-lme4, r-cran-mass, r-cran-matrix, r-cran-mgcv, r-cran-plyr, r-cran-reshape2, r-cran-scales, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ez_4.4-0-1.ca2004.1_all.deb
Size: 331220
MD5sum: 7be0aa7eacb3d458880cdff16cd4911d
SHA1: e030090b450f6b5750c6f3dfd819271dd2ba6482
SHA256: 47420790344ed9361de563490eb7b27a246608f12c22263e7f70888958c3eb4a
SHA512: 8a81002606b08a77342817275cf69916ebfb3870d60d30e911328f5a67d7219a90993aa768dc897695bd86ec5c5633d74a4e3e58a077a1b94915e6f474c51e17
Homepage: https://cran.r-project.org/package=ez
Description: CRAN Package 'ez' (Easy Analysis and Visualization of Factorial Experiments)
 Facilitates easy analysis of factorial experiments, including purely
 within-Ss designs (a.k.a. "repeated measures"), purely between-Ss designs,
 and mixed within-and-between-Ss designs. The functions in this package aim
 to provide simple, intuitive and consistent specification of data analysis
 and visualization. Visualization functions also include design visualization
 for pre-analysis data auditing, and correlation matrix visualization.
 Finally, this package includes functions for non-parametric analysis,
 including permutation tests and bootstrap resampling. The bootstrap function
 obtains predictions either by cell means or by more advanced/powerful mixed
 effects models, yielding predictions and confidence intervals that may be
 easily visualized at any level of the experiment's design.

Package: r-cran-ezcox
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1063
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forestmodel, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-survival, r-cran-tibble, r-cran-utf8
Suggests: r-cran-covr, r-cran-furrr, r-cran-future, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ezcox_1.0.4-1.ca2004.1_all.deb
Size: 616220
MD5sum: c078f1c6fb5851631001d35b3138f52c
SHA1: 116c38a6e410f9bd299eefe086e0088c53082103
SHA256: ea7f1ebb0dea733d5a0c2e8ab58e189057b2b0e7f6afd4b94e0b26df9e1ade05
SHA512: b92ce31c3a752e36c9e96f47ea9280cdba57df1ddaf86bce5fd20210aeb65b9131083c193781f247a6202d62de602a8c7a9c3885c38550387570787b90d9e17b
Homepage: https://cran.r-project.org/package=ezcox
Description: CRAN Package 'ezcox' (Easily Process a Batch of Cox Models)
 A tool to operate a batch of univariate or multivariate Cox models and
 return tidy result.

Package: r-cran-ezcutoffs
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dosnow, r-cran-foreach, r-cran-ggplot2, r-cran-lavaan, r-cran-moments, r-cran-progress
Suggests: r-cran-boot
Filename: pool/dists/focal/main/r-cran-ezcutoffs_1.0.2-1.ca2004.1_all.deb
Size: 52712
MD5sum: f410d59095a70760c1a0baef836f4b12
SHA1: 760a87b777709595d9513e271c3ab298956ea590
SHA256: 2caf7b1d7c6ea7c3a27babddebc3787c06d6963d230bed3bba3fb601697e7f9e
SHA512: 9c064e4a8c8fa0f64a06cf65fe4503127345738a604954cc070eedf5e687a38bebff30b392ecdac40fbe97c714b0b71c872ba5d2931928f4467366475237d11e
Homepage: https://cran.r-project.org/package=ezCutoffs
Description: CRAN Package 'ezCutoffs' (Fit Measure Cutoffs in SEM)
 Calculate cutoff values for model fit measures used in structural equation
 modeling (SEM) by simulating and testing data sets (cf. Hu & Bentler, 1999
 <doi:10.1080/10705519909540118>) with the same parameters (population model,
 number of observations, etc.) as the model under consideration.

Package: r-cran-ezec
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-drc, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-readxl, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ezec_1.0.1-1.ca2004.1_all.deb
Size: 93556
MD5sum: 7c0857242841557c6868776cfbbcf7ce
SHA1: a7775383a2e56052a5033bb885cc351c46b8a5a3
SHA256: 7f569f9223bdfd71aa52826342bb5ef23efe6e9abebe5edcd24fb6a1a7c61d42
SHA512: 09aeb85bc149d88dfffc7ba4595b17fbbcd0b0e869b9649868a1a6ab53883b60e12c548a6fbccc65d6b3255bea653bba6323989912317d98e4eb9a5bb0370758
Homepage: https://cran.r-project.org/package=ezec
Description: CRAN Package 'ezec' (Easy Interface to Effective Concentration Calculations)
 Because fungicide resistance is an important phenotypic trait for fungi and
 oomycetes, it is necessary to have a standardized method of statistically
 analyzing the Effective Concentration (EC) values. This package is designed
 for those who are not terribly familiar with R to be able to analyze and
 plot an entire set of isolates using the 'drc' package.

Package: r-cran-ezecm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 788
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ellipse, r-cran-klar, r-cran-lhs, r-cran-mcmcpack, r-cran-rdpack, r-cran-mvnfast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-testthat, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-ezecm_1.0.0-1.ca2004.1_all.deb
Size: 327596
MD5sum: fbef0dd8b0c8ca066392098414415d73
SHA1: 0076ae82d2c596bfd097b69db1e13c0aeb6d4a65
SHA256: dc7225ff285034104a94444900b7b0dac93c71ba2f2170943ce1673dcc1cad39
SHA512: b37922290c25559480a39a107e717c612ae855aa97509f8a6367333291b90e70779e62e02a49751ccd3febff73fd3fde260ced551a2252cadade77955472bfa1
Homepage: https://cran.r-project.org/package=ezECM
Description: CRAN Package 'ezECM' (Event Categorization Matrix Classification for NuclearDetonations)
 Implementation of an Event Categorization Matrix (ECM) detonation detection
 model and a Bayesian variant. Functions are provided for importing and
 exporting data, fitting models, and applying decision criteria for
 categorizing new events. This package implements methods described in the
 paper "Bayesian Event Categorization Matrix Approach for Nuclear
 Detonations" Koermer, Carmichael, and Williams (2024) available on arXiv at
 <doi:10.48550/arXiv.2409.18227>.

Package: r-cran-ezeda
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-ggally, r-cran-scales, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ezeda_0.1.1-1.ca2004.1_all.deb
Size: 536936
MD5sum: 35256a621da9c80b58bda2cc439da3d4
SHA1: 01559bdff05a4aed869c076f66eb5aca77f53b76
SHA256: 33991e15addd4234b0865b3841b88ef4ea0b081f54459f3ea0c3d6a3c3cca92e
SHA512: 4860278a9eb4c91eef7b5765b4c40dbb012b292ae13fe03f47ca30a8b1daed9d95855302b415cb72b0927513f2a4fec2df85d92bfb41bc3cc064fd9199fc2a34
Homepage: https://cran.r-project.org/package=ezEDA
Description: CRAN Package 'ezEDA' (Task Oriented Interface for Exploratory Data Analysis)
 Enables users to create visualizations using functions based on the data
 analysis task rather than on plotting mechanics. It hides the details of the
 individual 'ggplot2' function calls and allows the user to focus on the end
 goal. Useful for quick preliminary explorations.  Provides functions for
 common exploration patterns. Some of the ideas in this package are motivated
 by Fox (2015, ISBN:1938377052).

Package: r-cran-ezfragility
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-viridis, r-cran-ggtext, r-cran-glue, r-cran-rlang, r-cran-foreach, r-cran-progress, r-cran-ramify, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dosnow
Filename: pool/dists/focal/main/r-cran-ezfragility_1.0.3-1.ca2004.1_all.deb
Size: 2362764
MD5sum: 4f86ef560df9e66a9877de7f608f4c25
SHA1: acf1e97440f222f9005402374651926dda76f18f
SHA256: 018c213b4321eb4b6cfee169adf4c5c516c80fff42bf7036f6195b0604ce431b
SHA512: 8e5fed6c8959be0b34bc3dae5eeab0946d8d3459c07ce384c6afb505ff004287998725d8523dbc00726989c5118a616bf28cbf70fdc7fcc3743b4936ed91729f
Homepage: https://cran.r-project.org/package=EZFragility
Description: CRAN Package 'EZFragility' (Compute Neural Fragility for Ictal iEEG Time Series)
 Provides tools to compute the neural fragility matrix from intracranial
 electrocorticographic (iEEG) recordings, enabling the analysis of brain
 dynamics during seizures. The package implements the method described by Li
 et al. (2017) <doi:10.23919/ACC.2017.7963378> and includes functions for
 data preprocessing (`Epoch`), fragility computation (`calcAdjFrag`), and
 visualization.

Package: r-cran-ezgp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nloptr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ezgp_0.1.0-1.ca2004.1_all.deb
Size: 798032
MD5sum: a92c8dacf23429d8a3c192abefd7a62f
SHA1: 16fc455121d45df59730fef1f25e633d4cfc1bcf
SHA256: d39876fb6781a84ee14a238f0f55305419a7e2da66b37f2da7ac7228bf1bfbb7
SHA512: 6bdcf2d9334199394d5a3e3a23fad3ef7173e3371bf838078044a56c2e8534930575ecbff1f98928f402649010cb4646f9238544e476aee58497d29d47058141
Homepage: https://cran.r-project.org/package=EzGP
Description: CRAN Package 'EzGP' (Easy-to-Interpret Gaussian Process Models for ComputerExperiments)
 Fit model for datasets with easy-to-interpret Gaussian process modeling,
 predict responses for new inputs.  The input variables of the datasets can
 be quantitative, qualitative/categorical or mixed.  The output variable of
 the datasets is a scalar (quantitative).  The optimization of the likelihood
 function can be chosen by the users (see the documentation of EzGP_fit()).
 The modeling method is published in "EzGP: Easy-to-Interpret Gaussian
 Process Models for Computer Experiments with Both Quantitative and
 Qualitative Factors" by Qian Xiao, Abhyuday Mandal, C. Devon Lin, and Xinwei
 Deng (2022) <doi:10.1137/19M1288462>.

Package: r-cran-ezknitr
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-markdown, r-cran-r.utils
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ezknitr_0.6.3-1.ca2004.1_all.deb
Size: 42928
MD5sum: 745f176fe273c2657a9a0d7ad7846dda
SHA1: 300b4dfe8f47d08aa878c7d26e2985e63f9b036f
SHA256: 9596eda3b938bfffc16df19930aff6cb5a4b1c82c3d0bbf99a7d1379954ae89b
SHA512: 59236a282820e6860e66cf65006e02f5b43fd0e5d3741236eb7fd82a400b978cb527a75e5d57d70674b45bd001a4b885bd675364b06b32981dcc2b7e186159bd
Homepage: https://cran.r-project.org/package=ezknitr
Description: CRAN Package 'ezknitr' (Avoid the Typical Working Directory Pain When Using 'knitr')
 An extension of 'knitr' that adds flexibility in several ways. One common
 source of frustration with 'knitr' is that it assumes the directory where
 the source file lives should be the working directory, which is often not
 true. 'ezknitr' addresses this problem by giving you complete control over
 where all the inputs and outputs are, and adds several other convenient
 features to make rendering markdown/HTML documents easier.

Package: r-cran-ezmmek
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-assertable, r-cran-ggplot2, r-cran-purrr, r-cran-dplyr, r-cran-nls2, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ezmmek_0.2.4-1.ca2004.1_all.deb
Size: 448940
MD5sum: 5fbeb6cc17e868139fe2e24c8a42a2b3
SHA1: 222b33d486dc9138e72ff173ac00d9066bceaafd
SHA256: 6e313c4c927b386834e1423bf98924a243f8e8863fb551563498518b601acc80
SHA512: 872a5ea28e62d0cd01f3fc7abe4df9a9e4b269efff8249d4937f8b4acbd78615f8066c234019b1489e786249e8f8d5e34a1f4249176f27354294875e291e4a25
Homepage: https://cran.r-project.org/package=ezmmek
Description: CRAN Package 'ezmmek' (Easy Michaelis-Menten Enzyme Kinetics)
 Serves as a platform for published fluorometric enzyme assay protocols.
 'ezmmek' calibrates, calculates, and plots enzyme activities as they relate
 to the transformation of synthetic substrates. At present, 'ezmmek'
 implements two common protocols found in the literature, and is modular to
 accommodate additional protocols. Here, these protocols are referred to as
 the In-Sample Calibration (Hoppe, 1983; <doi:10.3354/meps011299>) and
 In-Buffer Calibration (German et al., 2011;
 <doi:10.1016/j.soilbio.2011.03.017>).  protocols. By containing multiple
 protocols, 'ezmmek' aims to stimulate discussion about how to best optimize
 fluorometric enzyme assays. A standardized approach would make studies more
 comparable and reproducible.

Package: r-cran-ezpickr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-haven, r-cran-jsonlite, r-cran-readxl, r-cran-magrittr, r-cran-textreadr, r-cran-tibble, r-cran-stringr, r-cran-writexl, r-cran-purrr, r-cran-mboxr, r-cran-vroom, r-cran-rmarkdown, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-striprtf, r-cran-xml2, r-cran-dplyr, r-cran-rvest, r-cran-antiword, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ezpickr_2.1.0-1.ca2004.1_all.deb
Size: 41404
MD5sum: 5474b2bdcba4877ba22aa8d8649ebe6f
SHA1: 52dbd0632c6034fd5d13ed7ed64a6dbb69cc6e7a
SHA256: 4ea5e07b0a46cb504952f2dfea92065dd754dbd5a3af82bf22af979457b9fc3b
SHA512: 2f1fc93fb93c23f6463594a9b4ec18e55d70d03944c421ba8b4411f30f9c71909b7f39380740788852592eaf0670fc17a5cbc36b748a1fc87b1e84c204f564c6
Homepage: https://cran.r-project.org/package=ezpickr
Description: CRAN Package 'ezpickr' (Easy Data Import Using GUI File Picker)
 Choosing any rectangular data file using interactive GUI dialog box, and
 seamlessly manipulating tidy data between an 'Excel' window and R session.

Package: r-cran-ezplot
Architecture: all
Version: 0.7.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1001
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-lubridate, r-cran-rlang
Suggests: r-cran-covr, r-cran-dt, r-cran-e1071, r-cran-ggrepel, r-cran-knitr, r-cran-miniui, r-cran-rmarkdown, r-cran-rocr, r-cran-shiny, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-tsibbledata
Filename: pool/dists/focal/main/r-cran-ezplot_0.7.13-1.ca2004.1_all.deb
Size: 689836
MD5sum: da8cabe424fb68cb013c467c55659d34
SHA1: 29c5327169d5c3b67644bf0a6d03b6b842a332d9
SHA256: 27f7fb9524b18f4429383b83af50292ceff2bc96d5f890755361271370ddee8c
SHA512: 08d0eae1b9e77611762d74ab6b0f13aaf2bd5999dc782cb21857427d8e104d0d4798246a97b4c46d750779417081c5a23a66a71bfa9e74f41d57d92f47892fb3
Homepage: https://cran.r-project.org/package=ezplot
Description: CRAN Package 'ezplot' (Functions for Common Chart Types)
 Wrapper for the 'ggplot2' package that creates a variety of common charts
 (e.g. bar, line, area, ROC, waterfall, pie) while aiming to reduce typing.

Package: r-cran-ezr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dt, r-cran-ggplot2, r-cran-ggridges, r-cran-moments, r-cran-shiny, r-cran-shinydashboard, r-cran-weights
Filename: pool/dists/focal/main/r-cran-ezr_0.1.5-1.ca2004.1_all.deb
Size: 75716
MD5sum: 2aa4beb3ab2ac0311f47492d629c1b1a
SHA1: e15af208243bd210750a4b32ace24d8c8a980760
SHA256: 1f6731aa1ec6cf9f7bb22a59c513c8b6d118cbfa45f112c56c32d7b1b1a23192
SHA512: 23129da8194a87c30c863f1fcd267c8f1af374127cf01a0ff0b00dbd7637ad3e4d0b627866a4ee9797316c9aa6fab9ac792798dc4a0cfd5b2d88e9d2165cc9fe
Homepage: https://cran.r-project.org/package=ezr
Description: CRAN Package 'ezr' (Easy Use of R via Shiny App for Basic Analyses of ExperimentalData)
 Runs a Shiny App in the local machine for basic statistical and graphical
 analyses. The point-and-click interface of Shiny App enables obtaining the
 same analysis outputs (e.g., plots and tables) more quickly, as compared
 with typing the required code in R, especially for users without much
 experience or expertise with coding.  Examples of possible analyses include
 tabulating descriptive statistics for a variable, creating histograms by
 experimental groups, and creating a scatter plot and calculating the
 correlation between two variables.

Package: r-cran-ezsim
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-ggplot2, r-cran-digest, r-cran-plyr, r-cran-reshape, r-cran-jmisc
Filename: pool/dists/focal/main/r-cran-ezsim_0.5.5-1.ca2004.1_all.deb
Size: 360388
MD5sum: 3e4bf8a0df28c4ea3d832a4e6a7666c6
SHA1: aec8c9a496c4172406fd86a267d2aecba11631b9
SHA256: f60c87de44babf43ae475145dd33d32fbf1a183968f3ab9931b23da28b348e37
SHA512: 78d19ca927b1b5f863e793222e26efb56620385c7c50707ed199df3fd6a0235a46a0cb8ee673ea995c40f92637c1b8f3e9a54c3e7e10517e6294c51ee01fc09d
Homepage: https://cran.r-project.org/package=ezsim
Description: CRAN Package 'ezsim' (provide an easy to use framework to conduct simulation)
 ezsim provides a handy way to run simulation and examine its result

Package: r-cran-eztune
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2072
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ada, r-cran-e1071, r-cran-ga, r-cran-gbm, r-cran-optimx, r-cran-rpart, r-cran-glmnet, r-cran-rocr, r-bioc-biocstyle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mlbench, r-cran-doparallel, r-cran-dplyr, r-cran-yardstick, r-cran-rsample
Filename: pool/dists/focal/main/r-cran-eztune_3.1.1-1.ca2004.1_all.deb
Size: 1493988
MD5sum: 1fe67e24e81ee0d4916b08c36fce871c
SHA1: 28b781c7222f75fd297a655fb3c0bd6df55648b6
SHA256: ab736cebf1949f3677a3f4d9e3f7dcfb9fc5ec58a321eb71bafdd29e2a714972
SHA512: 7647e0620ae99bc21014da1d8a6f535f54403e91829a90a8e1b5f45a46ff2151fbb61857cabf21fa7d0dd49f2af0f36808d64469678963f2128b3401ef35cae7
Homepage: https://cran.r-project.org/package=EZtune
Description: CRAN Package 'EZtune' (Tunes AdaBoost, Elastic Net, Support Vector Machines, andGradient Boosting Machines)
 Contains two functions that are intended to make tuning supervised learning
 methods easy. The eztune function uses a genetic algorithm or Hooke-Jeeves
 optimizer to find the best set of tuning parameters. The user can choose the
 optimizer, the learning method, and if optimization will be based on
 accuracy obtained through validation error, cross validation, or
 resubstitution.  The function eztune.cv will compute a cross validated error
 rate. The purpose of eztune_cv is to provide a cross validated accuracy or
 MSE when resubstitution or validation data are used for optimization because
 error measures from both approaches can be misleading.

Package: r-cran-f1datar
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3772
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-glue, r-cran-magrittr, r-cran-tibble, r-cran-jsonlite, r-cran-httr2, r-cran-memoise, r-cran-janitor, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-lifecycle, r-cran-cli, r-cran-rappdirs, r-cran-cachem, r-cran-withr
Suggests: r-cran-ggplot2, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-f1datar_2.0.1-1.ca2004.1_all.deb
Size: 2598000
MD5sum: 34f7d8d2c78446f38db08ee146a2d575
SHA1: d0d6d9af830f6b4da70f62598db3b9eb69d63589
SHA256: dbaad106b1c3da8889cd143e43df61d9a767dae28ba53f45320c1178eb27023a
SHA512: 32fac602591701cc78908081eeac36501d3961d4d0ba96afefae865be3e360b028a02fd8088f130d77f1e88329294d1ab99fdd7fca8668b18a2820ca3dd060af
Homepage: https://cran.r-project.org/package=f1dataR
Description: CRAN Package 'f1dataR' (Access Formula 1 Data)
 Obtain Formula 1 data via the 'Jolpica API' <https://jolpi.ca> and the
 unofficial API <https://www.formula1.com/en/timing/f1-live> via the 'fastf1'
 'Python' library <https://docs.fastf1.dev/>.

Package: r-cran-faasr
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-uuid, r-cran-paws.application.integration, r-cran-paws.compute, r-cran-paws.storage, r-cran-paws.security.identity, r-cran-cli, r-cran-jsonvalidate, r-cran-base64enc, r-cran-sodium, r-cran-askpass
Suggests: r-cran-arrow, r-cran-glue, r-cran-rmarkdown, r-cran-paws.common, r-cran-testthat, r-cran-knitr, r-cran-devtools, r-cran-withr
Filename: pool/dists/focal/main/r-cran-faasr_1.4.4-1.ca2004.1_all.deb
Size: 326560
MD5sum: 048964c581bd3a1e2910dd881786f99e
SHA1: 9576427f42d6f0d8e95f5a4f41044e2c2dc89e45
SHA256: 19d3024fb4223cbf88c920cfe1bd129558093dc22276e504ff865fd909bc0b6e
SHA512: 9beafc9a408f40e37ccd9e219fad0bae10e86441a1bfc28d4488985049a68953fa1ca674cd3fd30f4d6e4cd9d81c8f6dc2dcd2140502b95faef87b41f6010a69
Homepage: https://cran.r-project.org/package=FaaSr
Description: CRAN Package 'FaaSr' (FaaS (Function as a Service) Package)
 Allows users to create and deploy the workflow with multiple functions in
 Function-as-a-Service (FaaS) cloud computing platforms.  The 'FaaSr' package
 makes it simpler for R developers to use FaaS platforms by providing the
 following functionality: 1) Parsing and validating a JSON-based payload
 compliant to 'FaaSr' schema supporting multiple FaaS platforms 2) Invoking
 user functions written in R in a Docker container (derived from rocker),
 using a list generated from the parser as argument 3) Downloading/uploading
 of files from/to S3 buckets using simple primitives 4) Logging to files in
 S3 buckets 5) Triggering downstream actions supporting multiple FaaS
 platforms 6) Generating FaaS-specific API calls to simplify the registering
 of a user's workflow with a FaaS platform Supported FaaS platforms: Apache
 OpenWhisk <https://openwhisk.apache.org/> GitHub Actions
 <https://github.com/features/actions> Amazon Web Services (AWS) Lambda
 <https://aws.amazon.com/lambda/> Supported cloud data storage for persistent
 storage: Amazon Web Services (AWS) Simple Storage Service (S3)
 <https://aws.amazon.com/s3/>.

Package: r-cran-fabci
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fabci_0.2-1.ca2004.1_all.deb
Size: 67264
MD5sum: 8a6bf3dcb85c5888aee5c6fa5931e55b
SHA1: 68c213316bc8d8b568640187dd02049cfb197048
SHA256: 0f4c34363f9885c995026dba3b136b09d22400e405c3c74ca9adba77833bdd87
SHA512: 164787e4ab1757860aeea30357308d7201a60f72b836826e79ae5257e2cc3676e8fe7535dff2a3c7ebfb9b7f5894abafe01d648d7e68c1d70b7531957d1de42a
Homepage: https://cran.r-project.org/package=fabCI
Description: CRAN Package 'fabCI' (FAB Confidence Intervals)
 Frequentist assisted by Bayes (FAB) confidence interval construction. See
 'Adaptive multigroup confidence intervals with constant coverage' by Yu and
 Hoff <DOI:10.1093/biomet/asy009> and 'Exact adaptive confidence intervals
 for linear regression coefficients' by Hoff and Yu <DOI:10.1214/18-EJS1517>.

Package: r-cran-fabinference
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fabinference_0.1-1.ca2004.1_all.deb
Size: 66704
MD5sum: 1a1397fa376876887bb577353d431e8a
SHA1: dfaf128a97e8feeb598aed12f2a629147ab3dabe
SHA256: 753170bcd76d234d530555b21c65f2ad1e5373bb000922d2dfd49e8aedcb8501
SHA512: 2d3ca66c3d2849b8b81b7b50249f2ba43d6d9f08b2c1edd8449c47bbca2b27c1c076331c755ae9f515f8926f16a59ca1f0963c89fdbbda5c4892b00c3a879a9c
Homepage: https://cran.r-project.org/package=FABInference
Description: CRAN Package 'FABInference' (FAB p-Values and Confidence Intervals)
 Frequentist assisted by Bayes (FAB) p-values and confidence interval
 construction. See Hoff (2019) <arXiv:1907.12589> "Smaller p-values via
 indirect information", Hoff and Yu (2019) <doi:10.1214/18-EJS1517> "Exact
 adaptive confidence intervals for linear regression coefficients", and Yu
 and Hoff (2018) <doi:10.1093/biomet/asy009> "Adaptive multigroup confidence
 intervals with constant coverage".

Package: r-cran-fabisearch
Architecture: all
Version: 0.0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4409
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nmf, r-cran-rgl, r-cran-reshape2, r-cran-foreach, r-cran-doparallel, r-cran-dorng
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fabisearch_0.0.4.5-1.ca2004.1_all.deb
Size: 4434468
MD5sum: 130c9d1b2cbc4ae110213055536cd215
SHA1: 75110938b1ea4b64d253bc3d03943c5ee00d33ee
SHA256: 8b0c22c390944da583f5319caadbeb63ceec4393c879d69919ce3175e19485c6
SHA512: 18d6a508744c86146cfe45f52ca7297c92249ca0030758a5327bf8c7ec79abba3e81eadeb56c87359c945960bfd1dbdbf05547e2055cdba3b54611185abd0327
Homepage: https://cran.r-project.org/package=fabisearch
Description: CRAN Package 'fabisearch' (Change Point Detection in High-Dimensional Time Series Networks)
 Implementation of the Factorized Binary Search (FaBiSearch) methodology for
 the estimation of the number and the location of multiple change points in
 the network (or clustering) structure of multivariate high-dimensional time
 series. The method is motivated by the detection of change points in
 functional connectivity networks for functional magnetic resonance imaging
 (fMRI) data. FaBiSearch uses non-negative matrix factorization (NMF), an
 unsupervised dimension reduction technique, and a new binary search
 algorithm to identify multiple change points.  It requires minimal
 assumptions. Lastly, we provide interactive, 3-dimensional, brain-specific
 network visualization capability in a flexible, stand-alone function. This
 function can be conveniently used with any node coordinate atlas, and nodes
 can be color coded according to community membership, if applicable. The
 output is an elegantly displayed network laid over a cortical surface, which
 can be rotated in the 3-dimensional space. The main routines of the package
 are detect.cps(), for multiple change point detection, est.net(), for
 estimating a network between stationary multivariate time series,
 net.3dplot(), for plotting the estimated functional connectivity networks,
 and opt.rank(), for finding the optimal rank in NMF for a given data set.
 The functions have been extensively tested on simulated multivariate
 high-dimensional time series data and fMRI data. For details on the
 FaBiSearch methodology, please see Ondrus et al. (2021) <arXiv:2103.06347>.
 For a more detailed explanation and applied examples of the fabisearch
 package, please see Ondrus and Cribben (2022), preprint.

Package: r-cran-fable.ata
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fabletools, r-cran-ataforecasting, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-tsibble, r-cran-distributional, r-cran-tsbox, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-fable.ata_0.0.6-1.ca2004.1_all.deb
Size: 63392
MD5sum: e247543daa188c614320be36f8e9c413
SHA1: aa01fbd8365d643178f7c146173873200cf2594c
SHA256: 50d7025a546864b66f88d567ea4c8dc578f22fb1070720e25f8df506420eed12
SHA512: 20d801384072aa960239e89331814bf39618278399aff04cee74184cd80c1b65f9a01e428aeff7192c911492c230755259438a722ea9a86d68e6c14a8b30f459
Homepage: https://cran.r-project.org/package=fable.ata
Description: CRAN Package 'fable.ata' ('ATAforecasting' Modelling Interface for 'fable' Framework)
 Allows ATA (Automatic Time series analysis using the Ata method) models from
 the 'ATAforecasting' package to be used in a tidy workflow with the modeling
 interface of 'fabletools'. This extends 'ATAforecasting' to provide enhanced
 model specification and management, performance evaluation methods, and
 model combination tools. The Ata method (Yapar et al. (2019)
 <doi:10.15672/hujms.461032>), an alternative to exponential smoothing
 (described in Yapar (2016) <doi:10.15672/HJMS.201614320580>, Yapar et al.
 (2017) <doi:10.15672/HJMS.2017.493>), is a new univariate time series
 forecasting method which provides innovative solutions to issues faced
 during the initialization and optimization stages of existing forecasting
 methods.  Forecasting performance of the Ata method is superior to existing
 methods both in terms of easy implementation and accurate forecasting.  It
 can be applied to non-seasonal or seasonal time series which can be
 decomposed into four components (remainder, level, trend and seasonal).

Package: r-cran-fable.prophet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 639
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-fabletools, r-cran-rlang, r-cran-tsibble, r-cran-lubridate, r-cran-prophet, r-cran-dplyr, r-cran-distributional
Suggests: r-cran-tsibbledata, r-cran-testthat, r-cran-ggplot2, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fable.prophet_0.1.0-1.ca2004.1_all.deb
Size: 508300
MD5sum: 5c00d6dc89d5347754b0bac8c5ba0457
SHA1: 310dd7c3c8707d50e4d0dd617f8d4547c14cde40
SHA256: 3dc8f1a0e79c7f39c55052fbd32b8623f1c104df88d05b503a0d7df0bec66a1e
SHA512: 9d505ee49de7c41c175ff4b5cfdde581f6411e8ab914a336e8a4f481ef5a5b5ec449665a2a9023506684d86280938b1a8b7ba870af39c5ad3834e7dd4ddd9ac5
Homepage: https://cran.r-project.org/package=fable.prophet
Description: CRAN Package 'fable.prophet' (Prophet Modelling Interface for 'fable')
 Allows prophet models from the 'prophet' package to be used in a tidy
 workflow with the modelling interface of 'fabletools'. This extends
 'prophet' to provide enhanced model specification and management,
 performance evaluation methods, and model combination tools.

Package: r-cran-fablecount
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fabletools, r-cran-tscount, r-cran-glarma, r-cran-fable, r-cran-dplyr, r-cran-tsibble, r-cran-tibble, r-cran-tidyr, r-cran-distributional, r-cran-lubridate, r-cran-stringr, r-cran-tsibbledata
Suggests: r-cran-rcpp, r-cran-rlang, r-cran-covr, r-cran-feasts, r-cran-forecast, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fablecount_0.1.0-1.ca2004.1_all.deb
Size: 96544
MD5sum: bf14306a8e49e2eb92aa1530ef6bc1c2
SHA1: 0ba1b2e44a2eb9f78e996159afe2970b6d796939
SHA256: 3bd1ed7a4046f44755d810be8e0dbf67f6bd17df1027eae5409aa4dc34543e84
SHA512: 95a51f5f8afbbca53c22ae33bb28e6b91ad4444445a391e2a1be352761838e612b74725d83fe655a0ae8544ff1d69d2aa5f8a522c69564ac7a7ff88ed31f9232
Homepage: https://cran.r-project.org/package=fableCount
Description: CRAN Package 'fableCount' (INGARCH and GLARMA Models for Count Time Series in FableFramework)
 Provides a tidy R interface for count time series analysis. It includes
 implementation of the INGARCH (Integer Generalized Autoregressive
 Conditional Heteroskedasticity) model from the 'tscount' package and the
 GLARMA (Generalized Linear Autoregressive Moving Averages) model from the
 'glarma' package. Additionally, it offers automated parameter selection
 algorithms based on the minimization of a penalized likelihood.

Package: r-cran-fabletools
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tsibble, r-cran-tibble, r-cran-ggplot2, r-cran-tidyselect, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-generics, r-cran-r6, r-cran-vctrs, r-cran-distributional, r-cran-progressr, r-cran-lifecycle, r-cran-ggdist, r-cran-scales
Suggests: r-cran-covr, r-cran-crayon, r-cran-fable, r-cran-future, r-cran-future.apply, r-cran-knitr, r-cran-pillar, r-cran-feasts, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tsibbledata, r-cran-lubridate, r-cran-urca, r-cran-mvtnorm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-fabletools_0.5.0-1.ca2004.1_all.deb
Size: 671652
MD5sum: 5ed679e3ed7676db58544fc9134da8cb
SHA1: 1ea0bf6987b72cfe07cdd21d136ab3c18e1c9496
SHA256: 1d989a99c1e8b1013d2fa672e0011da58cdb13bb423ac56156c46528476db678
SHA512: e88675b160243c432eeb61dbe8ce769910d6bd32aea82beecbe84d2c6178a8395fd84f6293aac35a8cca9ec8a17e63801693449fe2a72c47a8464bd32bd89519
Homepage: https://cran.r-project.org/package=fabletools
Description: CRAN Package 'fabletools' (Core Tools for Packages in the 'fable' Framework)
 Provides tools, helpers and data structures for developing models and time
 series functions for 'fable' and extension packages. These tools support a
 consistent and tidy interface for time series modelling and analysis.

Package: r-cran-fabr
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-usethis, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-janitor, r-cran-fs, r-cran-readr, r-cran-readxl, r-cran-writexl, r-cran-haven, r-cran-lubridate, r-cran-bookdown, r-cran-xfun, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-fabr_2.1.1-1.ca2004.1_all.deb
Size: 136068
MD5sum: 6fea69b1c30edb9a331efaab23d6d06b
SHA1: df81c9dfaf3f91637a2bd39c62e92a44ff8b1ea3
SHA256: e4c4e34f6119e4592a41369416a700ae4bdd4a7b4964d35d7b8fa22ce233fe28
SHA512: ca0bf6ef72df8999dad4d21e0d0ba78c8981e7a1573fc7703e7eaa0dbc68685b08b86d5cb8dba287f9094901f12aa0b0f43805eef84dd401f40f112251dcd578
Homepage: https://cran.r-project.org/package=fabR
Description: CRAN Package 'fabR' (Wrapper Functions Collection Used in Data Pipelines)
 The goal of this package is to provide wrapper functions in the data
 cleaning and cleansing processes. These function helps in messages and
 interaction with the user, keep track of information in pipelines, help in
 the wrangling, munging, assessment and visualization of data frame-like
 material.

Package: r-cran-fabricatr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-data.table, r-cran-mvnfast, r-cran-mass, r-cran-extradistr
Filename: pool/dists/focal/main/r-cran-fabricatr_1.0.2-1.ca2004.1_all.deb
Size: 146456
MD5sum: c2519142642616d5233c6a403ff00c84
SHA1: d2229195060d51dbf912064bf767eb284ddaa079
SHA256: 851292857f055dd63c1a4c64f3e5ed3beb110b2c1116dd0fd9aee9f0b23abc2e
SHA512: bd36e54da296ccfbbd7c1e38390371ff8fd5eb21f73e52132008a5f680ab281d5766c6d6a18b7a478d0094607248acee3b2544286d891aab6fe81bf237edface
Homepage: https://cran.r-project.org/package=fabricatr
Description: CRAN Package 'fabricatr' (Imagine Your Data Before You Collect It)
 Helps you imagine your data before you collect it. Hierarchical data
 structures and correlated data can be easily simulated, either from random
 number generators or by resampling from existing data sources. This package
 is faster with 'data.table' and 'mvnfast' installed.

Package: r-cran-fabricerin
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Filename: pool/dists/focal/main/r-cran-fabricerin_0.1.2-1.ca2004.1_all.deb
Size: 883784
MD5sum: 0f3ef833e805bf7868fe0e5a1754414c
SHA1: 61b79005560cb2a462e2cb4d93eb93c26536cb04
SHA256: ac33210deaa54593dfa541ecd36c1bd429c42bf64505c0cadf9e7a255741d961
SHA512: b966d0e2396f37c6cf813a84546ed5aed0b89e307269922fd249b78a67ebc32d774488d0d82559c2c71b1b9758af0d037efb9859618f87676e1d605479642a8b
Homepage: https://cran.r-project.org/package=fabricerin
Description: CRAN Package 'fabricerin' (Create Easily Canvas in 'shiny' and 'RMarkdown' Documents)
 Allows the user to implement easily canvas elements within a 'shiny' app or
 an 'RMarkdown' document.  The user can create shapes, images and text
 elements within the canvas which can also be used as a drawing tool for
 taking notes.  The package relies on the 'fabricjs' 'JavaScript' library.
 See <http://fabricjs.com/>.

Package: r-cran-face
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-face_0.1-7-1.ca2004.1_all.deb
Size: 96188
MD5sum: e19911e83656785cff5f15fbaab7353a
SHA1: a648ba0bc5d6a19b91ec017da4ad1c5c0043bfed
SHA256: 02f1513d00e4f4bceb14ee1a7a2c2eea62ef997ab9e7b783bdbf8365ec80b669
SHA512: e9dacc8e2166c9ad3a2e1bb37279e3607d7a60d89feb2b606e2dbf5d7f39f9d43ee318736bee5cf602576f86878aca99f05170cd77d461ff34152601cb2f3dd0
Homepage: https://cran.r-project.org/package=face
Description: CRAN Package 'face' (Fast Covariance Estimation for Sparse Functional Data)
 We implement the Fast Covariance Estimation for Sparse Functional Data paper
 published in Statistics and Computing <doi: 10.1007/s11222-017-9744-8>.

Package: r-cran-facebookadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-facebookadsr_0.1.0-1.ca2004.1_all.deb
Size: 22224
MD5sum: 305696620a5963da1d099ef893517140
SHA1: b7f08b4e13d81f1e4ff377b9936d9c33db8975bb
SHA256: b568b34ae9c36609053c229771709bc8a1c92ed400a20687f99f28d110eeef96
SHA512: ebca5e4b47f09145258c2443c7f13a5ac1f5a6c1dbaaf4f6e6c534c8ae64a8eb0caa7b2f426337217be308312a6da5889cbffc12e9bbcde614c95711c778f206
Homepage: https://cran.r-project.org/package=facebookadsR
Description: CRAN Package 'facebookadsR' (Access to Facebook Ads via the 'Windsor.ai' API)
 Collect marketing data from facebook Ads using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.  Use four spaces when indenting paragraphs
 within the Description.

Package: r-cran-facebookleadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-facebookleadsr_0.1.0-1.ca2004.1_all.deb
Size: 22424
MD5sum: 5dfd4a5926a32383573212356e239784
SHA1: 9cc56276ed01fe658894b2d40be5a3c217a76fee
SHA256: eec1b83c2989b19903b8ef769726608d39e287a9b64780aa513843b4a7737f96
SHA512: 163e54bc7ea986dac004985bcb158b125992d5514bf81a1567fe70bf4d9617d8132ba10a47d6c3291f59e781436ebcfe4b3dfe31f53575222638bf62e3aec740
Homepage: https://cran.r-project.org/package=facebookleadsR
Description: CRAN Package 'facebookleadsR' (Get Facebook Leads Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Facebook Leads Ads
 using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-facebookorganicr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-facebookorganicr_0.1.0-1.ca2004.1_all.deb
Size: 22424
MD5sum: c2e0f472eaf4dfd614203b07f1e5198c
SHA1: 1f834457ecbe927a9840353216a4715d8486e848
SHA256: 54c84a1861335db788537aa4fdc0076240bc2d71a4a58621023991c6a642eb52
SHA512: fae94fb15b1e1c3732f127ba61692ec28b8497077a82b0ae4a00d42b37bb54149a402dadcde4fda5fb4beaa24970b514d064426336ae49f465514f380aa31dbd
Homepage: https://cran.r-project.org/package=facebookorganicR
Description: CRAN Package 'facebookorganicR' (Get Data from 'Facebook Organic' via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Facebook Organic'
 using the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-facerec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 861
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-stringr, r-cran-snakecase, r-cran-rlang
Suggests: r-cran-magick, r-cran-ggplot2, r-cran-purrr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-facerec_0.1.0-1.ca2004.1_all.deb
Size: 695024
MD5sum: 3629dca12c001e61fafdc17ea28c62bf
SHA1: c0cdde8d8103c3c0568cc956a3ab24f5df0b8c3a
SHA256: 5c82c7780a18b41fcbaf3b99eb516e40a40303dbd55b91f50719c792c18ba753
SHA512: e09e5917f90321886871fdfb088a934adfa3d657e0955c4cf1fe474df85023f4291ea0e24a0b9544c93191f65ea51eef1517c3bec8a79f567abe2d8071aa954f
Homepage: https://cran.r-project.org/package=facerec
Description: CRAN Package 'facerec' (An Interface for Face Recognition)
 Provides an interface to the 'Kairos' Face Recognition API
 <https://kairos.com/face-recognition-api>. The API detects faces in images
 and returns estimates for demographics like gender, ethnicity and age.

Package: r-cran-facilityepimath
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-facilityepimath_0.1.0-1.ca2004.1_all.deb
Size: 68292
MD5sum: acb0a405eb55516cde878959c84119af
SHA1: d4b5702ae954f8a435ffdfeb2f1afcb5a4586bf2
SHA256: 3ecfbe1751d4cbcf87054a82922050fc1365bdf7f0209f95f9a93982b29a72b3
SHA512: 896a6a35f9f9843e65b53f73c6f0e248c4ad4d72686f9085c3d9603a5232e6308771efd74931e2def8a32b69ee13bb17ef095741d5fc0587f868dae72f905b61
Homepage: https://cran.r-project.org/package=facilityepimath
Description: CRAN Package 'facilityepimath' (Analyze Mathematical Models of Healthcare Facility Transmission)
 Calculate useful quantities for a user-defined differential equation model
 of infectious disease transmission among individuals in a healthcare
 facility. Input rates of transition between states of individuals with and
 without the disease-causing organism, distributions of states at facility
 admission, relative infectivity of transmissible states, and the facility
 length of stay distribution. Calculate the model equilibrium and the basic
 facility reproduction number, as described in Toth et al. (2025)
 <doi:10.1101/2025.02.21.25322698>.

Package: r-cran-facmodcs
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 628
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-xts, r-cran-zoo, r-cran-performanceanalytics, r-cran-lattice, r-cran-sn, r-cran-tseries, r-cran-robustbase, r-cran-robstattm
Suggests: r-cran-pcra, r-cran-corrplot, r-cran-lmtest, r-cran-rugarch, r-cran-hh
Filename: pool/dists/focal/main/r-cran-facmodcs_1.0-1.ca2004.1_all.deb
Size: 419960
MD5sum: 06cf31e740333f60da56a11639cb6c95
SHA1: 068c59571c6f7eb09aa8ceb9e3d4e716f3677eaa
SHA256: fcac436f62dc3a07bb68ec8524e205cdccb795e6293fbd91bd849b32440e69db
SHA512: 4a661ab4ae7717a98fcbbaec9b1dda680b1685664085fd16c2791e3ee8469b8cf6e9003425e9746a19cc4937a53669668e0bcd6dae0b1e58641ff18e345545e2
Homepage: https://cran.r-project.org/package=facmodCS
Description: CRAN Package 'facmodCS' (Cross-Section Factor Models)
 Linear cross-section factor model fitting with least-squares and robust
 fitting the 'lmrobdetMM()' function from 'RobStatTM'; related volatility,
 Value at Risk and Expected Shortfall risk and performance attribution
 (factor-contributed vs idiosyncratic returns); tabular displays of risk and
 performance reports; factor model Monte Carlo. The package authors would
 like to thank Chicago Research on Security Prices,LLC for the cross-section
 of about 300 CRSP stocks data (in the data.table object 'stocksCRSP', and
 S&P GLOBAL MARKET INTELLIGENCE for contributing 14 factor scores (a.k.a
 "alpha factors".and "factor exposures") fundamental data on the 300
 companies in the data.table object 'factorSPGMI'.  The 'stocksCRSP' and
 'factorsSPGMI' data are not covered by the GPL-2 license, are not provided
 as open source of any kind, and they are not to be redistributed in any
 form.

Package: r-cran-facmodts
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-data.table, r-cran-lars, r-cran-lattice, r-cran-leaps, r-cran-performanceanalytics, r-cran-portfolioanalytics, r-cran-r.cache, r-cran-corpcor, r-cran-quadprog, r-cran-robstattm, r-cran-robustbase, r-cran-sandwich, r-cran-sn, r-cran-xts, r-cran-zoo
Suggests: r-cran-corrplot, r-cran-hh, r-cran-lmtest, r-cran-r.rsp, r-cran-rugarch, r-cran-strucchange, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-facmodts_1.0-1.ca2004.1_all.deb
Size: 245676
MD5sum: 45574f046c4584e44e772ae596c6817b
SHA1: aee3d39c64498a7776805ae03049d505869c51b7
SHA256: cce328e0fe450bcf1fab7c9adce4050ad7854d9cc0a4c92cc1c303a8cc13c0d8
SHA512: 4881bb701889903d158f58232630b60fd0da839b050806f1b52ef5be737ec9880ea2128c07beb0ea942c41dfe2fa449b309752f543db3b549916476932b0bdc3
Homepage: https://cran.r-project.org/package=facmodTS
Description: CRAN Package 'facmodTS' (Time Series Factor Models for Asset Returns)
 Supports teaching methods of estimating and testing time series factor
 models for use in robust portfolio construction and analysis. Unique in
 providing not only classical least squares, but also modern robust model
 fitting methods which are not much influenced by outliers. Includes returns
 and risk decompositions, with user choice of standard deviation,
 value-at-risk, and expected shortfall risk measures. "Robust Statistics
 Theory and Methods (with R)", R. A. Maronna, R. D. Martin, V. J. Yohai, M.
 Salibian-Barrera (2019) <doi:10.1002/9781119214656>.

Package: r-cran-facpad
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlab, r-cran-mass
Filename: pool/dists/focal/main/r-cran-facpad_3.0-1.ca2004.1_all.deb
Size: 35892
MD5sum: d06440032853723c4af995ba325a6fd1
SHA1: c32f6708026c36c37e82660aa33e9c47a51a8bed
SHA256: dc964d308f8374f1fd82473b2de34786603cdf92073afd8e93d5c11866ec44f2
SHA512: 6aa811a72728ad0ac0ddf22a50eb86739f95d0a70902a586bbd8b7fba4f377ace57b396c11c0cafeac1399dc2a7f9e0432c42a55e9f68b558611692cb7978799
Homepage: https://cran.r-project.org/package=FacPad
Description: CRAN Package 'FacPad' (Bayesian Sparse Factor Analysis model for the inference ofpathways responsive to drug treatment)
 This method tries to explain the gene-wise treatment response ratios in
 terms of the latent pathways. It uses bayesian sparse factor modeling to
 infer the loadings (weights) of each pathway on its associated probesets as
 well as the latent factor activity levels for each treatment.

Package: r-cran-fact
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-r6, r-cran-iml
Suggests: r-cran-testthat, r-cran-caret, r-cran-covr, r-cran-knitr, r-cran-mlr3, r-cran-mlr3cluster, r-cran-rmarkdown, r-cran-fuzzydbscan, r-cran-factoextra, r-cran-patchwork, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fact_0.1.1-1.ca2004.1_all.deb
Size: 206348
MD5sum: b9516d4ffae7d5f9acbcfa484279ad68
SHA1: d733bd1566a6d2bd6256d1f441ee257aaf9fc4ec
SHA256: 393b4f7f2c58bc43eec5a556bf6e3394488ccb6c39cbffd4d6e1267e8552d70f
SHA512: b96b43b692cc13206cdbb38d836c387d1187e5eb57768959cf853636890ac0f105636133135fcdcb149bb48f16876ff0cd232dee088924938225f54d2bce59a0
Homepage: https://cran.r-project.org/package=FACT
Description: CRAN Package 'FACT' (Feature Attributions for ClusTering)
 We present 'FACT' (Feature Attributions for ClusTering), a framework for
 unsupervised interpretation methods that can be used with an arbitrary
 clustering algorithm. The package is capable of re-assigning instances to
 clusters (algorithm agnostic), preserves the integrity of the data and does
 not introduce additional models. 'FACT' is inspired by the principles of
 model-agnostic interpretation in supervised learning. Therefore, some of the
 methods presented are based on 'iml', a R Package for Interpretable Machine
 Learning by Christoph Molnar, Giuseppe Casalicchio, and Bernd Bischl (2018)
 <doi:10.21105/joss.00786>.

Package: r-cran-factiv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-generics, r-cran-formula
Suggests: r-cran-tibble, r-cran-dplyr, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-factiv_0.1.0-1.ca2004.1_all.deb
Size: 150892
MD5sum: 57b8ddc291580f8dd6ef14aea43ce823
SHA1: 73685c06b409c95341167143d4a7a47c77141586
SHA256: 4d1c1a54c6170bfe77b23dc9a032920cc3bea0e33bb8ce17c0a6ba177fb72573
SHA512: 26560c36ebf83fad96d2e69aaa5dc766a1b12730dda5dd5011d589813209d05675937dcc812652272c3b7824b3a993356c5f64af0368849b103658dff062b44b
Homepage: https://cran.r-project.org/package=factiv
Description: CRAN Package 'factiv' (Instrumental Variables Estimation for 2^k Factorial Experiments)
 Implements instrumental variable estimators for 2^K factorial experiments
 with noncompliance.

Package: r-cran-factmixtanalysis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-factmixtanalysis_1.0-1.ca2004.1_all.deb
Size: 43400
MD5sum: b7aceaa0b47a6572691e5319efaa0c92
SHA1: b90855422651c56f3746a8393f55ab894d6f4039
SHA256: 91f609e4d9a23da576f6943ed72a7e16262a7d7e726c397af166762dd990c31a
SHA512: 8b4b4753f4a77d539574b757f2b4f114eed14accacd0fc3bdc4bf1a07fd23b671c61da87fd6515fe43620631a6fd93f466efa53d1b64bed4f8adee5a7d884346
Homepage: https://cran.r-project.org/package=FactMixtAnalysis
Description: CRAN Package 'FactMixtAnalysis' (Factor Mixture Analysis with covariates)
 The package estimates Factor Mixture Analysis via the EM algorithm

Package: r-cran-factmle
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rarpack
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-factmle_1.1-1.ca2004.1_all.deb
Size: 21196
MD5sum: 02c25a0f37ac0afe166cf52e71e62e59
SHA1: 47a672c117f76d037327fc586baf15ee53967a52
SHA256: c4d6887220578ea31a8d4b408adb3f517777aee15905505bfdc30f7c30ae70f7
SHA512: 45cedeb0f4096878d9f251bf8085fd03eb369346fffbc0f4293da71ce202edf1da2d2342558d56d8c1581ae7ef573e351e3f939044e7dfe6a583292af53290aa
Homepage: https://cran.r-project.org/package=FACTMLE
Description: CRAN Package 'FACTMLE' (Maximum Likelihood Factor Analysis)
 Perform Maximum Likelihood Factor analysis on a covariance matrix or data
 matrix.

Package: r-cran-factoextra
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-abind, r-cran-cluster, r-cran-dendextend, r-cran-factominer, r-cran-reshape2, r-cran-ggrepel, r-cran-tidyr
Suggests: r-cran-ade4, r-cran-ca, r-cran-igraph, r-cran-mass, r-cran-knitr, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-factoextra_1.0.7-1.ca2004.1_all.deb
Size: 415320
MD5sum: 8637385ce63cfc8208f4d13c860c604e
SHA1: 27ce44336194c7d2164c8a6016a69a577626076e
SHA256: f7e12b043a1c9c7cc63ef58fae728d88e37304dd432464b49ecab45c9d079349
SHA512: 550cf14de7cd3e840241d0ffe02cf7dcdc67fa377328faeec6ff9995232d9fdb2527ba12c9dee8f644716a8841af74e2ec180f8060de2c4d13ef0af869f04f7f
Homepage: https://cran.r-project.org/package=factoextra
Description: CRAN Package 'factoextra' (Extract and Visualize the Results of Multivariate Data Analyses)
 Provides some easy-to-use functions to extract and visualize the output of
 multivariate data analyses, including 'PCA' (Principal Component Analysis),
 'CA' (Correspondence Analysis), 'MCA' (Multiple Correspondence Analysis),
 'FAMD' (Factor Analysis of Mixed Data), 'MFA' (Multiple Factor Analysis) and
 'HMFA' (Hierarchical Multiple Factor Analysis) functions from different R
 packages. It contains also functions for simplifying some clustering
 analysis steps and provides 'ggplot2' - based elegant data visualization.

Package: r-cran-factoinvestigate
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-factominer, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-factoinvestigate_1.9-1.ca2004.1_all.deb
Size: 262656
MD5sum: f4584b87487c41f802ac55cb490ff051
SHA1: 04a6925a41dc1e8a13198059a86c4de7a12cdef4
SHA256: a7bef2adf9a7bf34dc160d32790ae373a1c95d8c17c73aa6df2f71761aa3b879
SHA512: e90a4981856cb38087c695b3bc4c2886a32c78593b858acee91d7008107ea67c2b0a1f236ab559d5cb146b38601023a8dd2ed884f53c5478945c9096856773d5
Homepage: https://cran.r-project.org/package=FactoInvestigate
Description: CRAN Package 'FactoInvestigate' (Automatic Description of Factorial Analysis)
 Brings a set of tools to help and automatically realise the description of
 principal component analyses (from 'FactoMineR' functions). Detection of
 existing outliers, identification of the informative components, graphical
 views and dimensions description are performed threw dedicated functions.
 The Investigate() function performs all these functions in one, and returns
 the result as a report document (Word, PDF or HTML).

Package: r-cran-factoptd
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-partitions
Filename: pool/dists/focal/main/r-cran-factoptd_1.0.3-1.ca2004.1_all.deb
Size: 20584
MD5sum: 97a92b40206d6145857fdaaa367e5cc2
SHA1: 631a2950672b41335b99324298bf47b6f2fffe76
SHA256: b8667c9c62f8ea482ea19ddae025b443ef476460ba071334898ab02eb21b7611
SHA512: f2fcdddb63ef76519a67a17c666ec71a8975650ecf071ffea356c6ff9707b073e751df8106d5129031d96cad7c39ade01fe1b3da9ba7172dce9be762fa7399cb
Homepage: https://cran.r-project.org/package=factoptd
Description: CRAN Package 'factoptd' (Factorial Optimal Designs for Two-Colour cDNA MicroarrayExperiments)
 Computes factorial A-, D- and E-optimal designs for two-colour cDNA
 microarray experiments.

Package: r-cran-factor.switching
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-hdinterval, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-factor.switching_1.4-1.ca2004.1_all.deb
Size: 99200
MD5sum: acbf79ea045af5696f3e1b063bf993cc
SHA1: aff38cfea4d4601fa397648609a3e9e7f96abb56
SHA256: 4ac7ae5a37a8838210c78504e017b073ad7e36e825b08c65ebd0de0ccedb7277
SHA512: 4a6297e299be3d460dda0920598173095097c08df3c9cc8a49b636d19381af43429ae8e30fb202447fa2a09d3ebe1f583261ed8900579f87a8e8aca10a11971e
Homepage: https://cran.r-project.org/package=factor.switching
Description: CRAN Package 'factor.switching' (Post-Processing MCMC Outputs of Bayesian Factor Analytic Models)
 A well known identifiability issue in factor analytic models is the
 invariance with respect to orthogonal transformations. This problem burdens
 the inference under a Bayesian setup, where Markov chain Monte Carlo (MCMC)
 methods are used to generate samples from the posterior distribution. The
 package applies a series of rotation, sign and permutation transformations
 (Papastamoulis and Ntzoufras (2022) <DOI:10.1007/s11222-022-10084-4>) into
 raw MCMC samples of factor loadings, which are provided by the user. The
 post-processed output is identifiable and can be used for MCMC inference on
 any parametric function of factor loadings. Comparison of multiple MCMC
 chains is also possible.

Package: r-cran-factorassumptions
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-psych
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-factorassumptions_2.0.1-1.ca2004.1_all.deb
Size: 31016
MD5sum: 728a42a33e55f68a52f70f72d79a414f
SHA1: 829d4c76b5bc5c2ef16f9cb50569c372f1ba6bba
SHA256: 94d75fbec3d4b4bdab34260752f3bef05567caaa81ad6ff147acc4bec43dba19
SHA512: 6e7bbcd13bd204a1b84fb891531547058764d37cc6ccc61c01b3f28b8bbd6fd9689fdc6f09c60eab540fab311e24d64ba655bbbc464c5fbd8cc9d292087a2cb9
Homepage: https://cran.r-project.org/package=FactorAssumptions
Description: CRAN Package 'FactorAssumptions' (Set of Assumptions for Factor and Principal Component Analysis)
 Tests for Kaiser-Meyer-Olkin (KMO) and communalities in a dataset. It
 provides a final sample by removing variables in a iterable manner while
 keeping account of the variables that were removed in each step. It follows
 the best practices and assumptions according to Hair, Black, Babin &
 Anderson (2018, ISBN:9781473756540).

Package: r-cran-factorex
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arm, r-cran-genlasso, r-cran-prodlim, r-cran-sandwich, r-cran-igraph, r-cran-pbmcapply, r-cran-pbapply, r-cran-mvtnorm, r-cran-stringr, r-cran-doparallel, r-cran-foreach, r-cran-estimatr
Filename: pool/dists/focal/main/r-cran-factorex_1.0.1-1.ca2004.1_all.deb
Size: 477860
MD5sum: 64661b14ef7c0ce89734bd9556c5f933
SHA1: 6b5d11be03d75f5f16222548a5df37827ac4d0ec
SHA256: 9aa645fdcdf1d140f6b135b840291130a148760e0a1c398aa4ddacd24f01a455
SHA512: 13c202f0cc2f72583e5b4269546d70cb48cab620573d579416e25e7457c8365ca6008137baebfb5e10ab136d0b520c082b253a22ec92e3f29693b1ff15a07da6
Homepage: https://cran.r-project.org/package=factorEx
Description: CRAN Package 'factorEx' (Design and Analysis for Factorial Experiments)
 Provides design-based and model-based estimators for the population average
 marginal component effects in general factorial experiments, including
 conjoint analysis. The package also implements a series of recommendations
 offered in de la Cuesta, Egami, and Imai (2019+), and Egami and Imai (2019)
 <doi:10.1080/01621459.2018.1476246>.

Package: r-cran-factorial2x2
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-factorial2x2_0.2.0-1.ca2004.1_all.deb
Size: 143708
MD5sum: a630e23e9b932c370e4e6916bcfe6790
SHA1: 02d4d3df53b417cd2473deeb24fd229652b60f65
SHA256: 013b7c12eea5326a493bb207a491513e75992d51d0aaaf2e1481af07a2d8ac15
SHA512: b9b7f97c4a08854de1b744c27d85965379be9a1f880521e91b4ad7920b99e4a6c3699c95e2f73e8096eb01cd57a8863a11707dbd616de1a4c0e8de6d32769a7f
Homepage: https://cran.r-project.org/package=factorial2x2
Description: CRAN Package 'factorial2x2' (Design and Analysis of a 2x2 Factorial Trial)
 Used for the design and analysis of a 2x2 factorial trial for a
 time-to-event endpoint.  It performs power calculations and significance
 testing as well as providing estimates of the relevant hazard ratios and the
 corresponding 95% confidence intervals.  Important reference papers include
 Slud EV. (1994) <https://www.ncbi.nlm.nih.gov/pubmed/8086609> Lin DY, Gong
 J, Gallo P, Bunn PH, Couper D. (2016) <DOI:10.1111/biom.12507> Leifer ES,
 Troendle JF, Kolecki A, Follmann DA. (2020)
 <https://github.com/EricSLeifer/factorial2x2/blob/master/Leifer%20et%20al.%20paper.pdf>.

Package: r-cran-factormerger
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2961
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-reshape2, r-cran-colorramps, r-cran-proxy, r-cran-mass, r-cran-ggpubr, r-cran-scales, r-cran-mvtnorm, r-cran-knitr, r-cran-magrittr, r-cran-survival, r-cran-agricolae, r-cran-forcats, r-cran-formula.tools
Suggests: r-cran-survminer, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-factormerger_0.4.0-1.ca2004.1_all.deb
Size: 2265480
MD5sum: d021571ee37b321a38290955f63b4e81
SHA1: 9810f6122d2827a360007ad54d724a3054ab317d
SHA256: 415d0e2009ba9cc185f61c18bf6b46aa0155e8b727b3fe874d7d241e5010c740
SHA512: e69958d170e0e97059156ce5d7179f73d89f42fe4d6c67c50705a7257766c996a0ecb9cf1fe457c788dad9837583032de4fbdf21089e4a920d6827f328431d5e
Homepage: https://cran.r-project.org/package=factorMerger
Description: CRAN Package 'factorMerger' (The Merging Path Plot)
 The Merging Path Plot is a methodology for adaptive fusing of k-groups with
 likelihood-based model selection. This package contains tools for
 exploration and visualization of k-group dissimilarities.  Comparison of
 k-groups is one of the most important issues in exploratory analyses and it
 has zillions of applications.  The traditional approach is to use pairwise
 post hoc tests in order to verify which groups differ significantly.
 However, this approach fails with a large number of groups in both
 interpretation and visualization layer.  The Merging Path Plot solves this
 problem by using an easy-to-understand description of dissimilarity among
 groups based on Likelihood Ratio Test (LRT) statistic (Sitko, Biecek 2017)
 <arXiv:1709.04412>.  'factorMerger' is a part of the 'DrWhy.AI' universe
 (Biecek 2018) <arXiv:1806.08915>.  Work on this package was financially
 supported by the 'NCN Opus grant 2016/21/B/ST6/02176'.

Package: r-cran-factormodel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-nnet, r-cran-pracma, r-cran-gtools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-factormodel_1.0-1.ca2004.1_all.deb
Size: 44972
MD5sum: 6520f3627e6e7a90a1e0a45bf782e3cd
SHA1: 46d048537139f8ff1271f980b4a1ff45239dc6d5
SHA256: 56f3fe21869849f2b378dc4e5e83f6ce3895dd352edcc9492a2e6265ca4bd7a6
SHA512: 9466c650019137d8344da6e3e78283e11a1d965db7f5f1080e4d5578d19b486ed3497a90b498b4458f079e422a853de0d33ab16cb891f1a1d0304c36d6d45e76
Homepage: https://cran.r-project.org/package=factormodel
Description: CRAN Package 'factormodel' (Factor Model Estimation Using Proxy Variables)
 Functions to estimate a factor model using discrete and continuous proxy
 variables. The function 'dproxyme' estimates a factor model of discrete
 proxy variables using an EM algorithm (Dempster, Laird, Rubin (1977)
 <doi:10.1111/j.2517-6161.1977.tb01600.x>; Hu (2008)
 <doi:10.1016/j.jeconom.2007.12.001>; Hu(2017)
 <doi:10.1016/j.jeconom.2017.06.002> ). The function 'cproxyme' estimates a
 linear factor model (Cunha, Heckman, and Schennach (2010)
 <doi:10.3982/ECTA6551>).

Package: r-cran-factorplot
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multcomp
Suggests: r-cran-nnet, r-cran-cardata
Filename: pool/dists/focal/main/r-cran-factorplot_1.2.3-1.ca2004.1_all.deb
Size: 260808
MD5sum: 49d0b45b19a2c1fe35de446dfe536733
SHA1: f804cca29d9e1e6dedc6c10c87ef3cd26b441ea3
SHA256: 8ab4760cf5b8410733ff3c34eabb0bde6c6cb0d83ec7c1a97de3f0fc25e40a55
SHA512: 13eecfbde26cf7132119d8afaa125afa35038ecbc1b333f35c61be3664f67f98abd56d5a4e278eae71c2592c7e61d1bbb463d2b982c0c6a1b391056dadfc5f7e
Homepage: https://cran.r-project.org/package=factorplot
Description: CRAN Package 'factorplot' (Presenting Pairwise Comparisons)
 The tools herein calculate, print, summarize and plot pairwise differences
 that result from generalized linear models, general linear hypothesis tests
 and multinomial logistic regression models. For more information, see
 Armstrong (2013) <doi:10.32614/RJ-2013-021>.

Package: r-cran-factorsr
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4331
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-plotrix, r-cran-relaimpo, r-cran-nortest, r-cran-lmtest, r-cran-car, r-cran-kernlab, r-cran-usdm, r-cran-hier.part
Filename: pool/dists/focal/main/r-cran-factorsr_1.5-1.ca2004.1_all.deb
Size: 4042216
MD5sum: 7fb718f4f4e368ec568a9cc353f5b94d
SHA1: 567126f160b39e17dd26cb0ee337cb90e44a5b6a
SHA256: a8b18f0bfcfd244798c8f7c156526fdd22d4308e55268a6f96150c65cb9d3127
SHA512: f92f5f54c63ed2bcab27682ba5687d5e243aeb14ec2719b27c6a1f4e0073e9a7e7431a071d21fc7df481d4335071a188eb20db7a4f0d443b0827a37d7b812218
Homepage: https://cran.r-project.org/package=FactorsR
Description: CRAN Package 'FactorsR' (Identification of the Factors Affecting Species Richness)
 It identifies the factors significantly related to species richness, and
 their relative contribution, using multiple regressions and support vector
 machine models. It uses an output file of 'ModestR' with data of richness of
 the species and environmental variables in a cell size defined by the user.
 The residuals of the support vector machine model are shown on a map.
 Negative residuals may be potential areas with undiscovered and/or
 unregistered species, or areas with decreased species richness due to the
 negative effect of anthropogenic factors.

Package: r-cran-factory
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-factory_0.1.0-1.ca2004.1_all.deb
Size: 68480
MD5sum: 454fb63752e3237db04d41aeef419725
SHA1: ba1894a50681029f868adb4dee4faf0bd82b0ae8
SHA256: bd51f9a62503979a4d4a321547aeed401ba38114ebf2b2a881a5b2c5ec15900b
SHA512: 4f2d9ce4a4a4204c496a3abfeb655edf8a7a05c26a7518abf224742a590ab87dd8f948c9df9528f44641efa049ee8e1d0eb977d5511b0520a8ee2b6c3be64083
Homepage: https://cran.r-project.org/package=factory
Description: CRAN Package 'factory' (Build Function Factories)
 Function factories are functions that make functions. They can be confusing
 to construct. Straightforward techniques can produce functions that are
 fragile or hard to understand. While more robust techniques exist to
 construct function factories, those techniques can be confusing. This
 package is designed to make it easier to construct function factories.

Package: r-cran-factoshiny
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factoinvestigate, r-cran-ggplot2, r-cran-dt, r-cran-colourpicker, r-cran-ggrepel, r-cran-shinydashboard, r-cran-shinyjqui, r-cran-missmda
Filename: pool/dists/focal/main/r-cran-factoshiny_2.7-1.ca2004.1_all.deb
Size: 324068
MD5sum: 82a29663d16bcded708bfc1f17560015
SHA1: 94e548ce39b35b5a50ac2fdf78aa7ca6e1238619
SHA256: 98ef4ac03a629af14b2a4186c6b6debe6905ed4f20950b485fb217dfd224935b
SHA512: 83a549fc881d93155dce6985657e039c91bf77af9761f7ddca6800c29742ed76681da3f8eee110fa37d6542913b0451b24da9bef1bd833426f5c75965d9667c8
Homepage: https://cran.r-project.org/package=Factoshiny
Description: CRAN Package 'Factoshiny' (Perform Factorial Analysis from 'FactoMineR' with a ShinyApplication)
 Perform factorial analysis with a menu and draw graphs interactively thanks
 to 'FactoMineR' and a Shiny application.

Package: r-cran-factreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1363
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-mathjaxr, r-cran-matrix, r-cran-rrblup
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-factreg_1.0.0-1.ca2004.1_all.deb
Size: 1327048
MD5sum: 05b1502fdbb66e28a493f7c1fad460c1
SHA1: 004fe3d8c453216e2b7470b3adc9360d98e38d53
SHA256: b707960123a874498131a5a47747daa12290b5458079684f2cee0780ca87e5aa
SHA512: 46143391617dbc8cc2bf43f2a4f2a1a00c14db8f089bab0c9b19427857531772e7e6fbb6bb87fe6d729587de8b143e30af2e1c9a8b8ed74482a082fac928c5dd
Homepage: https://cran.r-project.org/package=factReg
Description: CRAN Package 'factReg' (Multi-Environment Genomic Prediction with Penalized FactorialRegression)
 Multi-environment genomic prediction for training and test environments
 using penalized factorial regression. Predictions are made using
 genotype-specific environmental sensitivities as in Millet et al.  (2019)
 <doi:10.1038/s41588-019-0414-y>.

Package: r-cran-factset.analyticsapi.engines
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1770
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-r6, r-cran-catools, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-factset.analyticsapi.engines_3.0.1-1.ca2004.1_all.deb
Size: 1259424
MD5sum: ddac730f1d7faa7d9c6716a39f56ce1f
SHA1: dc6d37e5e9959ff3b652d5c05b1ed02ff5cb564a
SHA256: fa1277563d29f5429cb8c1eb3b5c457ff05f8887308dce320a6522647d3fd506
SHA512: 9f9fbf715cb11f3cd811e6f06300618909c44dd4d252988eb4a8f0ff18e1ea9ea2f5e8ff26ea0a555f9981af55424ecbfb138f7042c0286bbf0712eeb56f3613
Homepage: https://cran.r-project.org/package=factset.analyticsapi.engines
Description: CRAN Package 'factset.analyticsapi.engines' ('FactSet' Engines API Client)
 Allow clients to fetch 'analytics' through API for Portfolio
 'Analytics'('PA'), Style Performance Risk('SPAR') and 'Vault' products of
 'FactSet'. Visit
 <https://github.com/factset/analyticsapi-engines-r-sdk/tree/master/Engines>
 for more information on the usage of package. Visit
 <https://developer.factset.com/> for more information on products.

Package: r-cran-factset.protobuf.stach.v2
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rprotobuf, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-factset.protobuf.stach.v2_1.0.6-1.ca2004.1_all.deb
Size: 34864
MD5sum: 936f020f9d30f8c23d9f39087c02286b
SHA1: 6a94fcc2e1b8b6b048be81d8987bea5feb5cfed8
SHA256: dc69c215430096bef0f2c127d83c5dd17c2a473ac2294c005d8299f82ed7291e
SHA512: 4a9e85c882279036191ae9e1e78cbd744f76770d68410a14fa81bb8c31d2f62736968c4a5572fe1fdfbf903b627aa453d7ae135a71ca8241602269b3e49286b5
Homepage: https://cran.r-project.org/package=factset.protobuf.stach.v2
Description: CRAN Package 'factset.protobuf.stach.v2' ('FactSet' 'STACH V2' Library)
 Generates 'RProtobuf' classes for 'FactSet' 'STACH V2' tabular format which
 represents complex multi-dimensional array of data. These classes help in
 the 'serialization' and 'deserialization' of 'STACH V2' formatted data. See
 'GitHub' repository documentation for more information.

Package: r-cran-factset.protobuf.stachextensions
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-r6, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-factset.protobuf.stachextensions_1.0.4-1.ca2004.1_all.deb
Size: 177600
MD5sum: e202cb03873d24117f291941a474444b
SHA1: 6853982951da6aef709342cb8c2e68bfa3f3d626
SHA256: f93ca93d3bff98e666ef912acf3625e97263a63bec9d089226bfb405b407e0d8
SHA512: 44d8ee96869f4cce4e435681fbeca454263b78b929b503498ef1b857e15933d45b452cb29c99300f96e0248f4a3f1ffad0aef687f15be5a9063f24e829cffe7c
Homepage: https://cran.r-project.org/package=factset.protobuf.stachextensions
Description: CRAN Package 'factset.protobuf.stachextensions' ('FactSet' 'STACH' Extensions Package)
 Allow clients to convert 'FactSet' 'STACH' formatted data to simpler tabular
 formats in the form of data frames. This package also provides helper
 methods to extract the meta data from 'FactSet' 'STACH' formatted data. See
 documentation on the 'GitHub' repository for more information.

Package: r-cran-fada
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2033
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-elasticnet, r-cran-sparselda, r-cran-sda, r-cran-glmnet, r-cran-mnormt, r-cran-crossval, r-cran-corpcor, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-fada_1.3.5-1.ca2004.1_all.deb
Size: 2048968
MD5sum: 9bb7c4da99451d52b10f197d8668f6b5
SHA1: 3ba5f13fe75b2e0d4533f3fdad39c4784cb56e72
SHA256: 00e3c2030b6a1be8b19a2e12267cdfece8e55f8d8e3816e83a24bbdf17ba2360
SHA512: 246202e392e50ba71c83e6b9f93e3599e712e1774ecb506b34c5856f20ec83f7f01bfa4bf42aa3615afac1afa785a56b3f248f6ca13bf9b7bc7005d4a69ee744
Homepage: https://cran.r-project.org/package=FADA
Description: CRAN Package 'FADA' (Variable Selection for Supervised Classification in HighDimension)
 The functions provided in the FADA (Factor Adjusted Discriminant Analysis)
 package aim at performing supervised classification of high-dimensional and
 correlated profiles. The procedure combines a decorrelation step based on a
 factor modeling of the dependence among covariates and a classification
 method. The available methods are Lasso regularized logistic model (see
 Friedman et al. (2010)), sparse linear discriminant analysis (see Clemmensen
 et al. (2011)), shrinkage linear and diagonal discriminant analysis (see M.
 Ahdesmaki et al. (2010)). More methods of classification can be used on the
 decorrelated data provided by the package FADA.

Package: r-cran-fadist
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fadist_2.4-1.ca2004.1_all.deb
Size: 66532
MD5sum: 0b342da1c808e74a352310b5421d2286
SHA1: 1f815eedd9db02fc3153f5420c85414f13cf8718
SHA256: 1c6b607bbee7858c7f9394a53343c72f59855c7ebb6cf6fce3a19a47e74e0ca1
SHA512: 48aefcf81b2a5db0c1850373f5865ba5ac3226ba8ba99ac266b2731a73590416db416980680b10106db64f5bdbf9b052f91e1125e075c106de7775f1bda80d5b
Homepage: https://cran.r-project.org/package=FAdist
Description: CRAN Package 'FAdist' (Distributions that are Sometimes Used in Hydrology)
 Probability distributions that are sometimes useful in hydrology.

Package: r-cran-fadpclust
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mfpca, r-cran-cluster, r-cran-fpc, r-cran-fda, r-cran-fda.usc, r-cran-fundata
Filename: pool/dists/focal/main/r-cran-fadpclust_1.1.1-1.ca2004.1_all.deb
Size: 109808
MD5sum: d57fbe6ef113112ac4d2c51383cf10f2
SHA1: 8a7d95f1f324e4d259cfdf2e787c8098f01338f6
SHA256: 7b2bb6ca34f41ec0a7175eb0237ec90c0e9f81d6422118e803d893a3f871dfa4
SHA512: ede7720131328f3a2d6d90b929b52106dafc439ad3094ce5cf771795f39a40122725dd482652b12aad097390cbc8e0808ca1e14046fe3e89c928e8e043a1c0dc
Homepage: https://cran.r-project.org/package=FADPclust
Description: CRAN Package 'FADPclust' (Functional Data Clustering Using Adaptive Density Peak Detection)
 An implementation of a clustering algorithm for functional data based on
 adaptive density peak detection technique, in which the density is estimated
 by functional k-nearest neighbor density estimation based on a proposed
 semi-metric between functions. The proposed functional data clustering
 algorithm is computationally fast since it does not need iterative process.
 (Alex Rodriguez and Alessandro Laio (2014) <doi:10.1126/science.1242072>;
 Xiao-Feng Wang and Yifan Xu (2016) <doi:10.1177/0962280215609948>).

Package: r-cran-faersquarterlydata
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-tibble, r-cran-xml2, r-cran-tableone, r-cran-tidyr, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-faersquarterlydata_1.2.0-1.ca2004.1_all.deb
Size: 619796
MD5sum: ba779ab52553e488992d6fb818c0a67f
SHA1: d2c025e68980f5dc1934c10b97721f442a15c076
SHA256: aab9459c380d58198260e3482b2eb6d062ed98d3edca250b8896a552e5e9b91b
SHA512: 3b48ee07748ca51c9069eaddf2cd2703d56aa6e50ed90b4f86b30e22dbf53357c9a3debbe8f3beb5a0dbadd5ef0d183624c3db2e00ab0c71098fa551af92e5ed
Homepage: https://cran.r-project.org/package=faersquarterlydata
Description: CRAN Package 'faersquarterlydata' (FDA Adverse Event Reporting System Quarterly Data ExtractingTool)
 An easy framework to read FDA Adverse Event Reporting System XML/ASCII files
 <https://www.fda.gov/drugs/questions-and-answers-fdas-adverse-event-reporting-system-faers/fda-adverse-event-reporting-system-faers-latest-quarterly-data-files>.

Package: r-cran-fafa
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-efa.mrfa, r-cran-efa.dimensions, r-cran-efatools, r-cran-eganet, r-cran-mbess, r-cran-config, r-cran-dplyr, r-cran-energy, r-cran-ggcorrplot, r-cran-golem, r-cran-lavaan, r-cran-mctest, r-cran-moments, r-cran-mvnormaltest, r-cran-pastecs, r-cran-psych, r-cran-psychometric, r-cran-semplot, r-cran-semtools, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-sirt, r-cran-magrittr, r-cran-haven, r-cran-readxl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fafa_0.3-1.ca2004.1_all.deb
Size: 198972
MD5sum: 231ba134b7170b33f50e2d079405c436
SHA1: 88a0368e4d57bc72f7d33f39c399461dead32aab
SHA256: c0628096334b1bf985cc4f93488d87826bef89436a92f7df8dde392737a17864
SHA512: 5e8a87a596965bb161da4d2b75ba9c17f4ca036dd61d66547bfc511d4b80c12425713b5d270eab504de9d471f5849082100788c9a451dd6b52c0921fbe1adab1
Homepage: https://cran.r-project.org/package=FAfA
Description: CRAN Package 'FAfA' (Factor Analysis for All)
 Provides a comprehensive Shiny-based graphical user interface for conducting
 a wide range of factor analysis procedures. 'FAfA' (Factor Analysis for All)
 guides users through data uploading, assumption checking (descriptives,
 collinearity, multivariate normality, outliers), data wrangling (variable
 exclusion, data splitting), factor retention analysis (e.g., Parallel
 Analysis, Hull method, EGA), Exploratory Factor Analysis (EFA) with various
 rotation and extraction methods, Confirmatory Factor Analysis (CFA) for
 model testing, Reliability Analysis (e.g., Cronbach's Alpha, McDonald's
 Omega), Measurement Invariance testing across groups, and item weighting
 techniques. Results are presented in user-friendly tables and plots, with
 options for downloading outputs.

Package: r-cran-fahrmeir
Architecture: all
Version: 2016.5.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-fahrmeir_2016.5.31-1.ca2004.1_all.deb
Size: 45624
MD5sum: db4c0e1d159bf8826c5a159c14ed3928
SHA1: 33b2eb1dfe507d8f0417b6d74108cae3ed186357
SHA256: 48a6bd9fccc460c4c8ba9494761c5afeb6afb00e6aa423dc143641a36e581b3a
SHA512: 0999919c064304f74ad2147718300cf011f871125fe310ffe8e509f4cb19eda02253b920fc0e4aacae518125ee4ea26a8b40b95dde002170670b8b5e63b99742
Homepage: https://cran.r-project.org/package=Fahrmeir
Description: CRAN Package 'Fahrmeir' (Data from the Book "Multivariate Statistical Modelling Based onGeneralized Linear Models", First Edition, by Ludwig Fahrmeirand Gerhard Tutz)
 Data and functions for the book "Multivariate Statistical Modelling Based on
 Generalized Linear Models", first edition, by Ludwig Fahrmeir and Gerhard
 Tutz.  Useful when using the book.

Package: r-cran-fail
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-checkmate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fail_1.3-1.ca2004.1_all.deb
Size: 46132
MD5sum: 611061ffa1002ddb07c5b29b76f93807
SHA1: 3e8c8eab89aaf2c9e5fdbc4fb62cd0a3701e7dab
SHA256: b3c076f3801b645b2ae732b613a13352404a0544c9b4c65a4334c821370d4ca3
SHA512: 3e52079fe878f3a5e3ba1467f8f79b0397866360e531fb65778aa111ea5f8d167153a95a9827d2e2ac90353b2a18569718736f9ea9e59b08a97da352d08bc61a
Homepage: https://cran.r-project.org/package=fail
Description: CRAN Package 'fail' (File Abstraction Interface Layer (FAIL))
 More comfortable interface to work with R data or source files in a
 key-value fashion.

Package: r-cran-fairadapt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2700
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger, r-cran-assertthat, r-cran-quantreg, r-cran-qrnn, r-cran-igraph, r-cran-ggplot2, r-cran-cowplot, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rticles, r-cran-mvtnorm, r-cran-magick, r-cran-ggraph, r-cran-pdftools, r-cran-microbenchmark, r-cran-xtable, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fairadapt_1.0.0-1.ca2004.1_all.deb
Size: 2576748
MD5sum: 7a89170e955622c3f625f9a3462455e5
SHA1: 3e129670a111ea45365207bf7d6561c074a6c4cc
SHA256: 0141e020cd6a786e63d6fc40633d8cca59750d44748d4d320f78a92f4260328c
SHA512: 0705c4c3e196707746a42a84dd40ff315313ab3b7c036931f456016fc683a9f8dd255cea01ac3a38b6d5a6d2d5ba44c805b591f4b1a04e6a2f66cda551659b93
Homepage: https://cran.r-project.org/package=fairadapt
Description: CRAN Package 'fairadapt' (Fair Data Adaptation with Quantile Preservation)
 An implementation of the fair data adaptation with quantile preservation
 described in Plecko & Meinshausen (JMLR 2020, 21(242), 1-44).  The
 adaptation procedure uses the specified causal graph to pre-process the
 given training and testing data in such a way to remove the bias caused by
 the protected attribute. The procedure uses tree ensembles for quantile
 regression. Instructions for using the methods are further elaborated in the
 corresponding JSS manuscript, see <doi:10.18637/jss.v110.i04>.

Package: r-cran-fairmaterials
Architecture: all
Version: 0.4.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3896
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rdflib, r-cran-jsonld, r-cran-httr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-stringr, r-cran-xml2, r-cran-tidyr, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fairmaterials_0.4.2.1-1.ca2004.1_all.deb
Size: 2414308
MD5sum: 639001d7e08976ff7f027464e6a2e28b
SHA1: 49f068fe148ee17db00d141db6c8591be1a27016
SHA256: 386a8210b9e4c3d94428e4ba38790cdb28d42b75702f5e776a8520a4535567b1
SHA512: 4b9720e8779f6c41d1b951ca03e3053c57117472ac56d36c0c25ac2a8f1d04f0668b711339da167adee6644213915c2cd15b33221ecc9b27e29123b06308f66c
Homepage: https://cran.r-project.org/package=FAIRmaterials
Description: CRAN Package 'FAIRmaterials' (Ontology Tools with Data FAIRification in Development)
 Translates several CSV files with ontological terms and corresponding data
 into RDF triples. These RDF triples are stored in OWL and JSON-LD files,
 facilitating data accessibility, interoperability, and knowledge
 unification.  The triples are also visualized in a graph saved as an SVG.
 The input CSVs must be formatted with a template from a public Google Sheet;
 see README or vignette for more information. This is a tool is used by the
 SDLE Research Center at Case Western Reserve University to create and
 visualize material science ontologies, and it includes example ontologies to
 demonstrate its capabilities. This work was supported by the U.S. Department
 of Energy’s Office of Energy Efficiency and Renewable Energy (EERE) under
 Solar Energy Technologies Office (SETO) Agreement Numbers E-EE0009353 and
 DE-EE0009347, Department of Energy (National Nuclear Security
 Administration) under Award Number DE-NA0004104 and Contract number B647887,
 and U.S. National Science Foundation Award under Award Number 2133576.

Package: r-cran-fairmclus
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-irr, r-cran-rlist, r-cran-tidyr, r-cran-magrittr, r-cran-cluster, r-cran-data.table, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-fairmclus_2.2.1-1.ca2004.1_all.deb
Size: 26884
MD5sum: 800a3a32d6f105243ed3290ecf9a8e24
SHA1: 04e1b26c9ef9061b0c969f3a09cd4628c1e4486a
SHA256: d6b539082cdae0b49684cdc7b0ed61cc407bbc66c178ea6b5899fcd6ddbc21be
SHA512: dfe55321cc81c10fd56cea7e85b89e8836eb24e6bb1fc330fe914447aac8ea5fea5e4ba26c2208afd8d52f7b3119dfb7e4b1ce61243eb31a1bb38357de823ae5
Homepage: https://cran.r-project.org/package=FairMclus
Description: CRAN Package 'FairMclus' (Clustering for Data with Sensitive Attribute)
 Clustering for categorical and mixed-type of data, to preventing
 classification biases due to race, gender or others sensitive attributes.
 This algorithm is an extension of the methodology proposed by "Santos &
 Heras (2020) <doi:10.28945/4643>".

Package: r-cran-fairmetrics
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-magrittr, r-cran-corrplot, r-cran-randomforest, r-cran-proc, r-cran-specsverification, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra, r-cran-naniar
Filename: pool/dists/focal/main/r-cran-fairmetrics_1.0.3-1.ca2004.1_all.deb
Size: 339536
MD5sum: 7f870ffeeb930baeac67cc17482b11d2
SHA1: bbd334eca6fd4e5983cb8c96b94069c7e13db73d
SHA256: 47be62d00e5bae271b420011a047121c8bb12b780fb28e0503f3030f4009a820
SHA512: ef9d03cc1344035f391fe436717b979b72d98793719d8001a837708b017d2ecec25832bbfd891fd2c3e0bedb54da0700a152b90b9109a5b07402bffe6261e932
Homepage: https://cran.r-project.org/package=fairmetrics
Description: CRAN Package 'fairmetrics' (Fairness Evaluation Metrics with Confidence Intervals)
 A collection of functions for computing fairness metrics for machine
 learning and statistical models, including confidence intervals for each
 metric. The package supports the evaluation of group-level fairness
 criterion commonly used in fairness research, particularly in healthcare. It
 is based on the overview of fairness in machine learning written by Gao et
 al (2024) <doi:10.48550/arXiv.2406.09307>.

Package: r-cran-fairml
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet
Suggests: r-cran-lattice, r-cran-gridextra, r-cran-cccp, r-cran-cvxr, r-cran-survival
Filename: pool/dists/focal/main/r-cran-fairml_0.9-1.ca2004.1_all.deb
Size: 2883524
MD5sum: c39762bd691c735ecd27c300b8c1cf04
SHA1: bf1d89b98f7d9a47f4d15a517658f392e029156c
SHA256: 83f6b5f439c696e31abc23ba999bae62f5c3e20d9adc439596664245b51fa22d
SHA512: 0beedb09e79b7ddc43f62c02c32e86351414ba247ed785089bf623fb535f75c615325f07f0db5825e65bc1da7b145d8689a6e2b16da3a532d80ddce00f2abb9c
Homepage: https://cran.r-project.org/package=fairml
Description: CRAN Package 'fairml' (Fair Models in Machine Learning)
 Fair machine learning regression models which take sensitive attributes into
 account in model estimation. Currently implementing Komiyama et al. (2018)
 <http://proceedings.mlr.press/v80/komiyama18a/komiyama18a.pdf>, Zafar et al.
 (2019) <https://www.jmlr.org/papers/volume20/18-262/18-262.pdf> and my own
 approach from Scutari, Panero and Proissl (2022)
 <doi:10.1007/s11222-022-10143-w> that uses ridge regression to enforce
 fairness.

Package: r-cran-fairmodels
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4137
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dalex, r-cran-ggplot2, r-cran-scales, r-cran-patchwork
Suggests: r-cran-ranger, r-cran-gbm, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-spelling, r-cran-ggdendro, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-fairmodels_1.2.1-1.ca2004.1_all.deb
Size: 1848752
MD5sum: ddffb60a3ea6bb1579275835a9c23ca5
SHA1: f7c000cd45e020876b356ef101426ac8e273c69d
SHA256: ceb15d2773bd8f92bff06a916a13769ff0cbaff1165121a790923d02f013953e
SHA512: b3d0eb004f61167c2a65d8dbc11d98791c66931b98da947e6b00b16b052a4d78b4d52209253dfeaf444bdfff2326cfc965c1540e3e58d254f1fbe01e55ad5cf5
Homepage: https://cran.r-project.org/package=fairmodels
Description: CRAN Package 'fairmodels' (Flexible Tool for Bias Detection, Visualization, and Mitigation)
 Measure fairness metrics in one place for many models. Check how big is
 model's bias towards different races, sex, nationalities etc. Use measures
 such as Statistical Parity, Equal odds to detect the discrimination against
 unprivileged groups. Visualize the bias using heatmap, radar plot, biplot,
 bar chart (and more!). There are various pre-processing and post-processing
 bias mitigation algorithms implemented. Package also supports calculating
 fairness metrics for regression models. Find more details in (Wiśniewski,
 Biecek (2021)) <arXiv:2104.00507>.

Package: r-cran-fairness
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 729
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-devtools, r-cran-e1071, r-cran-ggplot2, r-cran-proc
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fairness_1.2.2-1.ca2004.1_all.deb
Size: 505620
MD5sum: e9fe41875af6ba427e2b6276fde3854d
SHA1: a577af0a7439713e7a4f8007e58e03599c76e34e
SHA256: 1d864f4fe0cba594f2f11ecc5675fefcfabcd21b07dc3014c47a18319f184230
SHA512: aa26f81f1aec0a35a9fccc0e1be121e426d1dce5807bc4b98ff4527944cfecacaf3b1800051849d96e210bc6655d3a5f4c8c4e98c0ebbe5e8b5b570fc0f2745f
Homepage: https://cran.r-project.org/package=fairness
Description: CRAN Package 'fairness' (Algorithmic Fairness Metrics)
 Offers calculation, visualization and comparison of algorithmic fairness
 metrics. Fair machine learning is an emerging topic with the overarching aim
 to critically assess whether ML algorithms reinforce existing social biases.
 Unfair algorithms can propagate such biases and produce predictions with a
 disparate impact on various sensitive groups of individuals (defined by sex,
 gender, ethnicity, religion, income, socioeconomic status, physical or
 mental disabilities). Fair algorithms possess the underlying foundation that
 these groups should be treated similarly or have similar prediction
 outcomes. The fairness R package offers the calculation and comparisons of
 commonly and less commonly used fairness metrics in population subgroups.
 These methods are described by Calders and Verwer (2010)
 <doi:10.1007/s10618-010-0190-x>, Chouldechova (2017)
 <doi:10.1089/big.2016.0047>, Feldman et al. (2015)
 <doi:10.1145/2783258.2783311> , Friedler et al. (2018)
 <doi:10.1145/3287560.3287589> and Zafar et al. (2017)
 <doi:10.1145/3038912.3052660>. The package also offers convenient
 visualizations to help understand fairness metrics.

Package: r-cran-fairsubset
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fairsubset_1.0-1.ca2004.1_all.deb
Size: 29824
MD5sum: 3fc350d37622bc0bfb66821b9f8abbe4
SHA1: b2c6cbe4523afa003854d2683e367c0a849ff79f
SHA256: e43582b7b96dcc2a59de0335e979e5c1b4b46acfc9fd4dfe7f09dcbaf4ee9242
SHA512: 521dbdd454d4305f756c0b26e0719dd1363502007b819b7a6b15d509b0427cf1095395b25b366a4e915ba186f163ed78aaa7e9195cd7aba4691549e00a34c4fd
Homepage: https://cran.r-project.org/package=fairsubset
Description: CRAN Package 'fairsubset' (Choose Representative Subsets)
 Allows user to obtain subsets of columns of data or vectors within a list.
 These subsets will match the original data in terms of average and
 variation, but have a consistent length of data per column.  It is intended
 for use on automated data generation which may not always output the same N
 per replicate or sample.

Package: r-cran-faisalconjoint
Architecture: all
Version: 1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-faisalconjoint_1.15-1.ca2004.1_all.deb
Size: 17212
MD5sum: 80c806aca48a569a05e79c518a65e796
SHA1: 4c3124f4eb1e07a3e5b91c0ddedae514e12c5275
SHA256: 3fbf541b5703269dcac3bae5cdd73ac4ef5174dd9ef704c3f531ac5898f92574
SHA512: 2d884e632fe54dbc4f0822a248a0aa10914f06428f2739e9c2bd96c7f3c6153aab840f729cbf4b82c260ba2c6a7d021ec885b4da18de10c15127b0509554165f
Homepage: https://cran.r-project.org/package=faisalconjoint
Description: CRAN Package 'faisalconjoint' (Faisal Conjoint Model: A New Approach to Conjoint Analysis)
 It is used for systematic analysis of decisions based on attributes and its
 levels.

Package: r-cran-fake
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-huge, r-cran-igraph, r-cran-mass, r-cran-rdpack, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fake_1.4.0-1.ca2004.1_all.deb
Size: 361208
MD5sum: e0ec4ee168f289ba7a4688e7817452dc
SHA1: f80ea129a95a39211f707763f30804778a2bde48
SHA256: 56c6bd6b95d9529b4cbcbca541cf98b55ed9f6ecfdf2ffe96cfdec125ba044c3
SHA512: ee9344dd59b3d261b117ccd8797173e20154389b8256c40b8fb43f17b6d7687831bccfa10f1d54ce9ed967a1e2a21e97c7661a2b6b314756d4c3daf33a5895f5
Homepage: https://cran.r-project.org/package=fake
Description: CRAN Package 'fake' (Flexible Data Simulation Using the Multivariate NormalDistribution)
 This R package can be used to generate artificial data conditionally on
 pre-specified (simulated or user-defined) relationships between the
 variables and/or observations. Each observation is drawn from a multivariate
 Normal distribution where the mean vector and covariance matrix reflect the
 desired relationships. Outputs can be used to evaluate the performances of
 variable selection, graphical modelling, or clustering approaches by
 comparing the true and estimated structures (B Bodinier et al (2021)
 <arXiv:2106.02521>).

Package: r-cran-fakemake
Architecture: all
Version: 1.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fritools, r-cran-igraph, r-cran-makefiler
Suggests: r-cran-cleanr, r-cran-covr, r-cran-cyclocomp, r-cran-devtools, r-cran-hunspell, r-cran-knitr, r-cran-lintr, r-cran-pkgbuild, r-cran-pkgload, r-cran-rasciidoc, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rprojroot, r-cran-runit, r-cran-spelling, r-cran-testthat, r-cran-withr, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-fakemake_1.11.1-1.ca2004.1_all.deb
Size: 72396
MD5sum: 3f0cb14f557ba38d3107f1411aa1c0a3
SHA1: 8ec4f339d8140f6f4b47e0d2337868054ec68ed0
SHA256: f2cc42d7e8596a3576ea843e54a26e5325d0e392eb98627cd353c377981c7eb3
SHA512: ef758d4611dfbada41c6c3aafa83136a23ca1723ec036f6b36b02ca9c1cfcf5a37e132f7c2c0e9d893fdc0907e27ffd4df203a15325eba263ff1ff49bbf4e5b9
Homepage: https://cran.r-project.org/package=fakemake
Description: CRAN Package 'fakemake' (Mock the Unix Make Utility)
 Use R as a minimal build system. This might come in handy if you are
 developing R packages and can not use a proper build system. Stay away if
 you can (use a proper build system).

Package: r-cran-faker
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-polycor, r-cran-pscl, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-faker_1.0-1.ca2004.1_all.deb
Size: 138436
MD5sum: 0e45334e09140c24742ba66f38174848
SHA1: dd75e9b5090f23e10fbfc71ab34fb43808e670db
SHA256: eec4cf5122aa8672a75fd4d61ea68820998550290081b75c028ea279b3cdb7a2
SHA512: 287a0aa4bfd1ec040abafe53c303ad4dcec913056b7634629de64dacb9ac2228ef7e8e27a05364919b3289a806cea921a75726f4681784f5b6fb7d2606eefdbf
Homepage: https://cran.r-project.org/package=fakeR
Description: CRAN Package 'fakeR' (Simulates Data from a Data Frame of Different Variable Types)
 Generates fake data from a dataset of different variable types.  The package
 contains the functions simulate_dataset and simulate_dataset_ts to simulate
 time-independent and time-dependent data. It randomly samples character and
 factor variables from contingency tables and numeric and ordered factors
 from a multivariate normal distribution. It currently supports the
 simulation of stationary and zero-inflated count time series.

Package: r-cran-fakir
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1772
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-attempt, r-cran-charlatan, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fakir_1.0.0-1.ca2004.1_all.deb
Size: 1622224
MD5sum: c5292efb8ab0f62cdb590cadf75cecdf
SHA1: 882d9f49bf867a92ae973f39770a00239778ce04
SHA256: d2a2d56fad740905eba84b1175da742fb9c8411d5e271c661f6e6119c4e52de4
SHA512: f7e9c301e7986bd9010d2d11152a4dd1501d29be1b22fda7d1d5b0f4b608acbaae89af7ee272d9e4f7cc8e86bf2612d39ded4c57fcad8554620cb3a45e8eeee0
Homepage: https://cran.r-project.org/package=fakir
Description: CRAN Package 'fakir' (Generate Fake Datasets for Prototyping and Teaching)
 Create fake datasets that can be used for prototyping and teaching.  This
 package provides a set of functions to generate fake data for a variety of
 data types, such as dates, addresses, and names. It can be used for
 prototyping (notably in 'shiny') or as a tool to teach data manipulation and
 data visualization.

Package: r-cran-fakmct
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fakmct_0.1.0-1.ca2004.1_all.deb
Size: 42884
MD5sum: 28298e3e39ebed07e1edda4f6f873a1c
SHA1: 3ca24a40feef8797b8c7a57dc0215841cb4255c7
SHA256: 25faee8714bdd74c2e2a9bc6844591352dcbcf951d4f046f42d9956fa5448db8
SHA512: 8caa54bd29987a0dd9de515926c1544b53a08dbc90f0fee83d4bfe08d019f4740bf5ee033d59dc393b7f11488171af82ba27fd1996b349ae7f1082136e377e0e
Homepage: https://cran.r-project.org/package=fakmct
Description: CRAN Package 'fakmct' (Fuzzy Adaptive Resonance Theory K-Means Clustering Technique)
 A set of function for clustering data observation with hybrid method Fuzzy
 ART and K-Means by Sengupta, Ghosh & Dan (2011)
 <doi:10.1080/0951192X.2011.602362>.

Package: r-cran-fam.recrisk
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fam.recrisk_0.1-1.ca2004.1_all.deb
Size: 33932
MD5sum: f1ad0127c10b98c29a94913518c0943b
SHA1: cf6bd7fea0bb1248fa4f6aca3849af4addad737d
SHA256: d71b5cb55bcfaab385625ffdaab0c79634c5c4b1805ddb4f4a5f21414a9dcc8d
SHA512: 8390675c14e3a365fc739702167d162317ab2a28631f8a8704d6bd87e6ca34fd801a925f062f23e4da12113af918b60868dbacf3378d6513070146af7fcb6f4b
Homepage: https://cran.r-project.org/package=fam.recrisk
Description: CRAN Package 'fam.recrisk' (Familial Recurrence Risk)
 Given vectors of family sizes and number of affecteds per family, calculates
 the risk of disease recurrence in an unaffected person, conditional on a
 family having at least k affected members. Methods also model heterogeneity
 of disease risk across families by fitting a mixture model, allowing for
 high and low risk families.

Package: r-cran-fam2r
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-familias, r-cran-paramlink
Filename: pool/dists/focal/main/r-cran-fam2r_1.2-1.ca2004.1_all.deb
Size: 396228
MD5sum: bd0a82a4174c13eca73eb51abbd215e9
SHA1: fddf3cd501a6bda68f3e418f43167b41a0f0e39b
SHA256: 23fee940f64646c7d45255b293a1529febe640b237561b8540fbba3528940727
SHA512: 1d260ba23a5a5e346d0e57b8daef7ef9b0cbf56cefe824a279cd8ff11b95eabe801a8ded4baca7c34216fd888c2e02f5d4588916d21f3e4eeefab1019d6cb0c8
Homepage: https://cran.r-project.org/package=fam2r
Description: CRAN Package 'fam2r' (From 'Familias' to R)
 Functionality provided for conditional simulation, likelihoods and plotting
 of pedigrees, mostly as a wrapper for 'paramlink'. Users typically start by
 exporting from the Windows version of 'Familias'.

Package: r-cran-fameta
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lipidms, r-cran-rmarkdown, r-cran-knitr, r-cran-accucor, r-cran-scales, r-cran-gtools, r-cran-minpack.lm, r-cran-tidyr, r-cran-plyr, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-fameta_0.1.6-1.ca2004.1_all.deb
Size: 411192
MD5sum: e48e9b534283045e8a8d71e8e58fc63b
SHA1: 31631d82fdb5f86ab4fb08e91dbe79e6962e1bbc
SHA256: dd5861ce6ade0ae59d0ec9efb198ac61bb9ef26319e51d500cb1148de4438e72
SHA512: 95d2942e39dcff6798c52b5e6c94bdabdae834255c6fb0490107000c123ceadfefba8ab8d119ca0b01f4c27664e4c64da1f8a5bacddf4f5e969aaf460464e346
Homepage: https://cran.r-project.org/package=FAMetA
Description: CRAN Package 'FAMetA' (Fatty Acid Metabolic Analysis)
 Fatty acid metabolic analysis aimed to the estimation of FA import (I), de
 novo synthesis (S), fractional contribution of the 13C-tracers (D0, D1, D2),
 elongation (E) and desaturation (Des) based on mass isotopologue data.

Package: r-cran-famevent
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-kinship2, r-cran-truncnorm, r-cran-eha, r-cran-pracma, r-cran-cmprsk, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-famevent_3.2-1.ca2004.1_all.deb
Size: 550152
MD5sum: 18a210ec042bebd1b2f362b93840120a
SHA1: c1dd3470b503b2e5fbb6b9753273df972614d782
SHA256: 3a61cd8003d19f4f273c87680c7d0c113eb8a8f8010a028432a4dcc78001c286
SHA512: 8c91272afe127a78cbcc66834db06aa032880addb3241ded6f6e04240ed7560fda708f867e4acd500ce077ade750c3f98e8fddf7204e0e58bd4073edf9cb9571
Homepage: https://cran.r-project.org/package=FamEvent
Description: CRAN Package 'FamEvent' (Family Age-at-Onset Data Simulation and Penetrance Estimation)
 Simulates age-at-onset traits associated with a segregating major gene in
 family data obtained from population-based, clinic-based, or multi-stage
 designs. Appropriate ascertainment correction is utilized to estimate
 age-dependent penetrance functions either parametrically from the fitted
 model or nonparametrically from the data. The Expectation and Maximization
 algorithm can infer missing genotypes and carrier probabilities estimated
 from family's genotype and phenotype information or from a fitted model.
 Plot functions include pedigrees of simulated families and predicted
 penetrance curves based on specified parameter values.  For more information
 see Choi, Y.-H., Briollais, L., He, W. and Kopciuk, K. (2021) FamEvent: An R
 Package for Generating and Modeling Time-to-Event Data in Family Designs,
 Journal of Statistical Software 97 (7), 1-30.

Package: r-cran-familial
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-depthproc, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-familial_1.0.7-1.ca2004.1_all.deb
Size: 76412
MD5sum: 83a513c39493270231f732167fffd087
SHA1: 5bb8c31bcbc21293b499f6849454760078de670f
SHA256: 58998fe899bb6d27dcff58680333309c155db2aeebdb4d69f1922755d7d45169
SHA512: 191b245b600e0bee9eab366595958b524fa0eabf415d0345c8792ddd7a1d61974cd59637379f3854a5b461585211f5944f17d8d4eaeec3511fc4dcaace3d838f
Homepage: https://cran.r-project.org/package=familial
Description: CRAN Package 'familial' (Statistical Tests of Familial Hypotheses)
 Provides functionality for testing familial hypotheses. Supports testing
 centers belonging to the Huber family. Testing is carried out using the
 Bayesian bootstrap. One- and two-sample tests are supported, as are
 directional tests. Methods for visualizing output are provided.

Package: r-cran-familiar
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5858
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rlang, r-cran-rstream, r-cran-survival
Suggests: r-cran-bart, r-cran-callr, r-cran-cluster, r-cran-corelearn, r-cran-coro, r-cran-dynamictreecut, r-cran-e1071, r-cran-ecdat, r-cran-fastcluster, r-cran-fastglm, r-cran-ggplot2, r-cran-glmnet, r-cran-gtable, r-cran-harmonicmeanp, r-cran-isotree, r-cran-knitr, r-cran-labeling, r-cran-lagp, r-cran-mass, r-cran-maxstat, r-cran-mboost, r-cran-microbenchmark, r-cran-nnet, r-cran-partykit, r-cran-power.transform, r-cran-praznik, r-cran-proxy, r-bioc-qvalue, r-cran-randomforestsrc, r-cran-ranger, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-xml2, r-cran-vgam, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-familiar_1.5.0-1.ca2004.1_all.deb
Size: 4048972
MD5sum: ad331ea0d39bfcfaf6d9e39a0e7c2563
SHA1: 8845fe74a74b56f14d0c626f140a6f433ffc47b8
SHA256: e28911cb87e6e3eefde54e6d589fd1c868d65e5f21420af3e55a288b09f761d8
SHA512: 3f2981b60cc6379fd0926ef5cb4f2209f19cdc6efdd245421af3b74a3bc2311bade046e3bd992ac7ed209a0a8d7b65da631444184bd2515d154db8192381acb0
Homepage: https://cran.r-project.org/package=familiar
Description: CRAN Package 'familiar' (End-to-End Automated Machine Learning and Model Evaluation)
 Single unified interface for end-to-end modelling of regression, categorical
 and time-to-event (survival) outcomes. Models created using familiar are
 self-containing, and their use does not require additional information such
 as baseline survival, feature clustering, or feature transformation and
 normalisation parameters. Model performance, calibration, risk group
 stratification, (permutation) variable importance, individual conditional
 expectation, partial dependence, and more, are assessed automatically as
 part of the evaluation process and exported in tabular format and plotted,
 and may also be computed manually using export and plot functions. Where
 possible, metrics and values obtained during the evaluation process come
 with confidence intervals.

Package: r-cran-families
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-msm, r-cran-reshape, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-xml2, r-cran-plyr, r-cran-virtualpop
Filename: pool/dists/focal/main/r-cran-families_2.0.2-1.ca2004.1_all.deb
Size: 478832
MD5sum: f5de76bed1d9a689b7f9b091ea507bcd
SHA1: 2d373d9aee476070cb071a17d01242feb3e529e3
SHA256: 38e8fcbf1ef2c09268b63c604c4eacad7e48eb88ed9e11931a962f2dd4682378
SHA512: 089f14709188dcf7bc306cfc8702b6bb4b8763da91189c061625f573dd712346dbbfb6adc96279dbed5ed3bf0e931c90fab9dfe020d7a413f7371cb9238a2393
Homepage: https://cran.r-project.org/package=Families
Description: CRAN Package 'Families' (Kinship Ties in (Virtual) Multi-Generation Populations)
 Tools to study lineages, grandparenthood, loss of close relatives, kinship
 networks and other topics in multi-generation populations.

Package: r-cran-family
Architecture: all
Version: 0.1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pheatmap, r-cran-proc
Filename: pool/dists/focal/main/r-cran-family_0.1.19-1.ca2004.1_all.deb
Size: 93064
MD5sum: 164f1c606cba43ffb4e805c7033d1b24
SHA1: d0fa3379e24be115ab92b32137feaed9ba4d5d54
SHA256: 3a1802996ee8d6d67958602c14b2af33df04167b2e79b7fe3f5c735e9ee4eb16
SHA512: 6a5f64b00e84acb350b807adf7e64ab018a8a9aa41b961b5b8841808549470c64b72b42b38ef4b86eea0591f2f50864782287ab2b0381f476085315393e8b1cc
Homepage: https://cran.r-project.org/package=FAMILY
Description: CRAN Package 'FAMILY' (A Convex Formulation for Modeling Interactions with StrongHeredity)
 Fits penalized linear and logistic regression models with pairwise
 interaction terms.

Package: r-cran-famos
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future, r-cran-r.utils
Suggests: r-cran-future.batchtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-famos_0.3.1-1.ca2004.1_all.deb
Size: 152156
MD5sum: 8776919ab9261d21c84cf75e0f0cbaa9
SHA1: 191d5c2ad19c014351137a77c006a55ecdb6ef23
SHA256: 9bcc318c299594f3bb4beec4f6c1ebb5495d38fc33299e4fc978bfd8cbf52573
SHA512: 9892d97b271e66858f61a5cee6cf56fa831a7f795360789a85464061f8e886368b2e0cfee239e68c728437443b479ff3658e78c063f19ba0436cb95f40207a7a
Homepage: https://cran.r-project.org/package=FAMoS
Description: CRAN Package 'FAMoS' (A Flexible Algorithm for Model Selection)
 Given a set of parameters describing model dynamics and a corresponding cost
 function, FAMoS performs a dynamic forward-backward model selection on a
 specified selection criterion. It also applies a non-local swap search
 method. Works on any cost function.  For detailed information see Gabel et
 al. (2019) <doi:10.1371/journal.pcbi.1007230>.

Package: r-cran-famskatrc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-kinship2, r-cran-coxme, r-cran-bdsmatrix
Filename: pool/dists/focal/main/r-cran-famskatrc_1.1.0-1.ca2004.1_all.deb
Size: 40380
MD5sum: 9508f49c02ae9815328f8e8b352d03a7
SHA1: 72b6743b222cd900d57ece1602873cb3a32a5e41
SHA256: 1cc0e8554e85a5808d73668fc44305830afa4e4977ce68ee202093ac3c979ab6
SHA512: 02006eca2b0fc19da1f9f4b4db58365acaf11c1957aa9894c186f7d7749bd54d206a424ab82ceaf7979c9be396b2f96bcb05ccf1fdfa319e9ddfe1291d1dffc5
Homepage: https://cran.r-project.org/package=famSKATRC
Description: CRAN Package 'famSKATRC' (Family Sequence Kernel Association Test for Rare and CommonVariants)
 FamSKAT-RC is a family-based association kernel test for both rare and
 common variants. This test is general and several special cases are known as
 other methods: famSKAT, which only focuses on rare variants in family-based
 data, SKAT, which focuses on rare variants in population-based data
 (unrelated individuals), and SKAT-RC, which focuses on both rare and common
 variants in population-based data. When one applies famSKAT-RC and sets the
 value of phi to 1, famSKAT-RC becomes famSKAT. When one applies famSKAT-RC
 and set the value of phi to 1 and the kinship matrix to the identity matrix,
 famSKAT-RC becomes SKAT. When one applies famSKAT-RC and set the kinship
 matrix (fullkins) to the identity matrix (and phi is not equal to 1),
 famSKAT-RC becomes SKAT-RC. We also include a small sample synthetic
 pedigree to demonstrate the method with.  For more details see Saad M and
 Wijsman EM (2014) <doi:10.1002/gepi.21844>.

Package: r-cran-famt
Architecture: all
Version: 2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3448
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mnormt, r-bioc-impute
Filename: pool/dists/focal/main/r-cran-famt_2.6-1.ca2004.1_all.deb
Size: 3440076
MD5sum: 39ebeee556fb1ec372d746105a8b2fb0
SHA1: 6ad73bc7636e054b7a9479084eaf211226fef898
SHA256: 9551eb61a137903338a05cf3d52756e597cc88ae373ceb5f5fb99c2fb613d407
SHA512: 46841bf3347dea25bf183bba22276a8578a7303a7205f83a170005e9641b8ab63904cba712ad1cc9bcb0e84f39a86f0d0209e1c728b3182d2d9d058632070407
Homepage: https://cran.r-project.org/package=FAMT
Description: CRAN Package 'FAMT' (Factor Analysis for Multiple Testing (FAMT) : Simultaneous Testsunder Dependence in High-Dimensional Data)
 The method proposed in this package takes into account the impact of
 dependence on the multiple testing procedures for high-throughput data as
 proposed by Friguet et al. (2009). The common information shared by all the
 variables is modeled by a factor analysis structure. The number of factors
 considered in the model is chosen to reduce the false discoveries variance
 in multiple tests. The model parameters are estimated thanks to an EM
 algorithm. Adjusted tests statistics are derived, as well as the associated
 p-values. The proportion of true null hypotheses (an important parameter
 when controlling the false discovery rate) is also estimated from the FAMT
 model. Graphics are proposed to interpret and describe the factors.

Package: r-cran-fancova
Architecture: all
Version: 0.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fancova_0.6-1-1.ca2004.1_all.deb
Size: 98140
MD5sum: f8f9f716fe5b7b8f5fad8e4bdcc60c3c
SHA1: 58580d984e928b4eb6ce260b1525ec77a7733b2d
SHA256: 318cdab1cdca7acf7d09463d64f53d0c01d207e990b18703e6f812ad8fc02e3f
SHA512: 337d65ce0b202a1286f08c1c226c50eb87078fee198cfed4fe87b9b99d32d4c92df817846677c3553015003df6be2925cde050e975e07265901db03c27eb02f2
Homepage: https://cran.r-project.org/package=fANCOVA
Description: CRAN Package 'fANCOVA' (Nonparametric Analysis of Covariance)
 A collection of R functions to perform nonparametric analysis of covariance
 for regression curves or surfaces.  Testing the equality or parallelism of
 nonparametric curves or surfaces is equivalent to analysis of variance
 (ANOVA) or analysis of covariance (ANCOVA) for one-sample functional data.
 Three different testing methods are available in the package, including one
 based on L-2 distance, one based on an ANOVA statistic, and one based on
 variance estimators.

Package: r-cran-fancycut
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fancycut_0.1.3-1.ca2004.1_all.deb
Size: 18804
MD5sum: 37c6aa836c39ecd843481209d68de4cd
SHA1: fbfb299412875b127184447f63690ff0258591e9
SHA256: ec871c91c2a4e829b6183f9cc1aafda71f027f966d1c9b923a400bfae1c33bcc
SHA512: 4e2c4e28498f0b98d51d3936a37dfd52e8710ebef10a7a2df67989fa402f9aaf96fe4c7597246162214e6eec82bd3648df42aa5574be93b7a842bdcba82f7b77
Homepage: https://cran.r-project.org/package=fancycut
Description: CRAN Package 'fancycut' (A Fancy Version of 'base::cut')
 Provides the function fancycut() which is like cut() except you can mix left
 open and right open intervals with point values, intervals that are closed
 on both ends and intervals that are open on both ends.

Package: r-cran-fanovagraph
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sensitivity, r-cran-igraph, r-cran-dicekriging
Suggests: r-cran-manipulate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fanovagraph_1.5-1.ca2004.1_all.deb
Size: 142852
MD5sum: 7153329b431ea102d74d0d3bac69ad3a
SHA1: 1160012efc521349780183b0644f14fad63e6a25
SHA256: d0a95e1383525bcc1ec054171641575186b5dafb317e88ae1600a01d5149b913
SHA512: 1c3daf4ca4dec32677eb0ce83896ea08431a878aa2f4a7666e530399da90448a56d20509d96f86d4774b03d7ca0f25be9369f71b4be1e153a322898c2879ee5b
Homepage: https://cran.r-project.org/package=fanovaGraph
Description: CRAN Package 'fanovaGraph' (Building Kriging Models from FANOVA Graphs)
 Estimation and plotting of a function's FANOVA graph to identify the
 interaction structure and fitting, prediction and simulation of a Kriging
 model modified by the identified structure. The interactive function
 plotManipulate() can only be run on the 'RStudio IDE' with 'RStudio' package
 'manipulate' loaded. 'RStudio' is freely available (<https://rstudio.com/>),
 and includes package 'manipulate'. The equivalent function plotTk() bases on
 CRAN Repository packages only. For further information on the method see
 Fruth, J., Roustant, O., Kuhnt, S. (2014) <doi:10.1016/j.jspi.2013.11.007>.

Package: r-cran-fanplot
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2014
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-fanplot_4.0.0-1.ca2004.1_all.deb
Size: 1963756
MD5sum: c8eb7af1eea6e5aaca12293ffa6d6f7f
SHA1: d321b10284764689d8ef362dc473d335e84c58f9
SHA256: 0d8a8be4ba38e33d5eb2c7e74e7a8c66bb0fc3470f24280b44defa8dfe20d9c2
SHA512: 06b65939df80afb8f9b927d124ff1f32866d5d5408dad51fc78160de6d2d909518f5b48a304f4e823540743e8742c99d1432370fbfd99dcec16e70fdd774254c
Homepage: https://cran.r-project.org/package=fanplot
Description: CRAN Package 'fanplot' (Visualisation of Sequential Probability Distributions Using FanCharts)
 Visualise sequential distributions using a range of plotting styles.
 Sequential distribution data can be input as either simulations or values
 corresponding to percentiles over time. Plots are added to existing graphic
 devices using the fan function. Users can choose from four different styles,
 including fan chart type plots, where a set of coloured polygon, with
 shadings corresponding to the percentile values are layered to represent
 different uncertainty levels. Full details in R Journal article; Abel (2015)
 <doi:10.32614/RJ-2015-002>.

Package: r-cran-fanyi
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-ggfun, r-cran-httr2, r-cran-jsonlite, r-cran-openssl, r-cran-purrr, r-cran-rentrez, r-cran-rlang, r-cran-sseparser, r-cran-uuid, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-fanyi_0.0.7-1.ca2004.1_all.deb
Size: 74592
MD5sum: de88a6334118040dac7d11df76774a55
SHA1: 73ea13b5715c0171e209890730dd6fc837639a0d
SHA256: a531601850ebec514d2437ccd81a02ac3bb7ddb52e002dd3ef783631ccaffcff
SHA512: b6ef903843506b4c51b3bc7e22ab495841a303b75aac36f28bfcc5435c69107e1b44fdf51b8b466cf872ca8c7776e41518018d709867a0336f0cbb3cb18885ca
Homepage: https://cran.r-project.org/package=fanyi
Description: CRAN Package 'fanyi' (Translate Words or Sentences via Online Translators)
 Useful functions to translate text for multiple languages using online
 translators.  For example, by translating error messages and descriptive
 analysis results into a language familiar to the user, it enables a better
 understanding of the information, thereby reducing the barriers caused by
 language.  It offers several helper functions to query gene information to
 help interpretation of interested genes (e.g., marker genes, differential
 expression genes), and provides utilities to translate 'ggplot' graphics.
 This package is not affiliated with any of the online translators.  The
 developers do not take responsibility for the invoice it incurs when using
 this package, especially for exceeding the free quota.

Package: r-cran-fao56
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fao56_1.0-1.ca2004.1_all.deb
Size: 110164
MD5sum: d682c79f4c79a4197e9677c22b2cc228
SHA1: 6ff248eb65b0dcefd6e3ffd219dd8c4b34902ad8
SHA256: 656e5dc0cc3c291a3bf213324733f689826c7753935c85f2dc1d61501bc9028b
SHA512: d4471a2c42980a426affc3ce72641045701e96ccd43bc6c4929763b99561b6d4532b9b809640a678f25327f4f1745fb087d74e8c84e935bd809d9e806d8c5cb5
Homepage: https://cran.r-project.org/package=FAO56
Description: CRAN Package 'FAO56' (Evapotranspiration Based on FAO Penman-Monteith Equation)
 Calculation of Evapotranspiration by FAO Penman-Monteith equation based on
 Allen, R. G., Pereira, L. S., Raes, D., Smith, M. (1998, ISBN:92-5-104219-5)
 "Crop evapotranspiration - Guidelines for computing crop water requirements
 - FAO Irrigation and drainage paper 56".

Package: r-cran-faostat
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjsonio, r-cran-plyr, r-cran-data.table, r-cran-mass, r-cran-classint, r-cran-labeling, r-cran-httr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-faostat_2.4.0-1.ca2004.1_all.deb
Size: 396592
MD5sum: 383ba13f49cedaf48b98e17ce37e18b2
SHA1: 1ec77f5cd98eacf563eea33b7b62e4d5ed43a0a0
SHA256: 41daad74946e88d85ebe539a1470387c725cb95397833b2a7529ced3c2e9f8d4
SHA512: 6e2388cfea36a332aa98aa2595d9c4a99e77758d8543520e6b81d7591a969dbd7888e7ec694a4c4fec0349930eb7081275fc152ec3474598df12723b10bf1748
Homepage: https://cran.r-project.org/package=FAOSTAT
Description: CRAN Package 'FAOSTAT' (Download Data from the FAOSTAT Database)
 Download Data from the FAOSTAT Database of the Food and Agricultural
 Organization (FAO) of the United Nations.  A list of functions to download
 statistics from FAOSTAT (database of the FAO <https://www.fao.org/faostat/>)
 and WDI (database of the World Bank <https://data.worldbank.org/>), and to
 perform some harmonization operations.

Package: r-cran-faoutlier
Architecture: all
Version: 0.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sem, r-cran-mvtnorm, r-cran-lattice, r-cran-lavaan, r-cran-mirt, r-cran-mass, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-faoutlier_0.7.7-1.ca2004.1_all.deb
Size: 141868
MD5sum: a43ccf299ce505e72680514e173384d8
SHA1: 5fea2247edda88588b3c0dcb8c9916d03c09eb9c
SHA256: e4b8a3835232f0e5932bc306486ac1dfc97f0ef00a59fa6af7483c07fd40e576
SHA512: 10bc7862e3af561909e58885b945f6fffa1ee952ed635abad43f90c3aa2da2dc1ca8b79d23b60e761a58ced21f2aead6aa6c5882372d16b8c1ff3e5d0b4649da
Homepage: https://cran.r-project.org/package=faoutlier
Description: CRAN Package 'faoutlier' (Influential Case Detection Methods for Factor Analysis andStructural Equation Models)
 Tools for detecting and summarize influential cases that can affect
 exploratory and confirmatory factor analysis models as well as structural
 equation models more generally (Chalmers, 2015,
 <doi:10.1177/0146621615597894>; Flora, D. B., LaBrish, C. & Chalmers, R. P.,
 2012, <doi:10.3389/fpsyg.2012.00055>).

Package: r-cran-faq
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-faq_0.1.1-1.ca2004.1_all.deb
Size: 28008
MD5sum: 8a7cc670f998a7507645e2f7358524bd
SHA1: 8bf6c7fc9a4671c6a35b0f6acdd205f19a95ed29
SHA256: 81722f308d2de242fe75b0a652a46a1fcc67fcb498d0a11c19468e6dbd89535a
SHA512: 1d95b919066c9485de3218279ab3a6872a041cb036e415ea6ca14d11735045750aede2579245269cc1e32cb3c3964546f6bdef8ca7e0d63ff43c4eb009f96afc
Homepage: https://cran.r-project.org/package=faq
Description: CRAN Package 'faq' (Create FAQ Page)
 Create Frequently Asked Questions page for Shiny application.

Package: r-cran-faraway
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-nlme
Suggests: r-cran-leaps
Filename: pool/dists/focal/main/r-cran-faraway_1.0.9-1.ca2004.1_all.deb
Size: 767364
MD5sum: 19185ed03c22c940e40e8c8e85e4caca
SHA1: 831c5006f443cc35ae915c84d6fe1486e9d70e61
SHA256: 35cba42396305d734094c5052c793af289a12932c0630cdce5b28fc0f743c3c7
SHA512: 8794b775f6d750e52a2ef7c67f398e8eb3a4a718055675e0cd09f40679f799be0c42b8d2654eae5c7a38d3c9a167e3f14421e21df4d7d74137a9f5b29561fd58
Homepage: https://cran.r-project.org/package=faraway
Description: CRAN Package 'faraway' (Datasets and Functions for Books by Julian Faraway)
 Books are "Linear Models with R" published 1st Ed. August 2004, 2nd Ed. July
 2014, 3rd Ed. February 2025 by CRC press, ISBN 9781439887332, and "Extending
 the Linear Model with R" published by CRC press in 1st Ed. December 2005 and
 2nd Ed. March 2016, ISBN 9781584884248 and "Practical Regression and ANOVA
 in R" contributed documentation on CRAN (now very dated).

Package: r-cran-fardeep
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2252
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnls, r-bioc-preprocesscore
Filename: pool/dists/focal/main/r-cran-fardeep_1.0.1-1.ca2004.1_all.deb
Size: 2269992
MD5sum: 8984865bcc9bfbf2a430515296d02ce3
SHA1: 9e7423c27cf6a8b64d1b59a9dbd9c1261a44eef1
SHA256: 031f5d009c9ff5344b393c53181c7eb55810e172ef21a11be0067044489ef641
SHA512: 72cc210b7a3023ff15e26eb9ceea10d6c46336447e73d32a37b96cd47a06cd674e56fcba33eb74e6968a5d9a2071ed1fdd5fc9a4f665b0b8d7887b6a7740a66d
Homepage: https://cran.r-project.org/package=FARDEEP
Description: CRAN Package 'FARDEEP' (Fast and Robust Deconvolution of Tumor Infiltrating Lymphocytefrom Expression Profiles using Least Trimmed Squares)
 Using the idea of least trimmed square, it could automatically detects and
 removes outliers from data before estimating the coefficients. It is a
 robust machine learning tool which can be applied to gene-expression
 deconvolution technique. Yuning Hao, Ming Yan, Blake R. Heath, Yu L. Lei and
 Yuying Xie (2019) <doi:10.1101/358366>.

Package: r-cran-farr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2408
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbplyr, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-tibble, r-cran-readr, r-cran-stringr, r-cran-dbi, r-cran-lubridate, r-cran-rpart
Suggests: r-cran-rpostgres, r-cran-duckdb, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-farr_0.3.0-1.ca2004.1_all.deb
Size: 2421120
MD5sum: 88ad138ee53642a30e0dd83b2b6977cd
SHA1: 47d43ff28445ef73a9670b0e8bacd06a4e5ad202
SHA256: 96683850dc45c2751ec2acfda26fd3b0f4af017b73ec1927760269d51c5334d0
SHA512: 01bf5aac58b47b74033915808e8f46bd4f69e60cef082ce6a06a126898ba9ff227ff6e846ad0eccd5f794d52d06e075533785c614ffbc1556139f433ceaf8c19
Homepage: https://cran.r-project.org/package=farr
Description: CRAN Package 'farr' (Data and Code for Financial Accounting Research)
 Handy functions and data to support a course book for accounting research.
 Gow, Ian and Tongqing Ding (2022) 'Accounting Research: An Introductory
 Course' <https://iangow.github.io/far_book/>.

Package: r-cran-farrell
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 849
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-data.table, r-cran-magrittr, r-cran-shinywidgets, r-cran-benchmarking, r-cran-shinycssloaders, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-farrell_0.2.1-1.ca2004.1_all.deb
Size: 639940
MD5sum: d24aa3b4d9f35089df4e235739c0e288
SHA1: e84e7624b0d9c433a9471ae140130fb972894d37
SHA256: ac04c56c41c335a8dbea255227cefdab2b18828a1f4ed5ba343bfbb6cb3a9ed7
SHA512: 32d758c60ea0bf2e6b489ba018bca7a7c92f00cf760bf2768194f8ce9d607b62f5bc1309cfbedc4d62950ff7efc4d7c72f15672616264250e5c7dd76799725eb
Homepage: https://cran.r-project.org/package=farrell
Description: CRAN Package 'farrell' (Interactive Interface to Data Envelopment Analysis Modeling)
 Allows the user to execute interactively radial data envelopment analysis
 models. The user has the ability to upload a data frame, select the
 input/output variables, choose the technology assumption to adopt and decide
 whether to run an input or an output oriented model.  When the model is
 executed a set of results are displayed which include efficiency scores,
 peers' determination, scale efficiencies' evaluation and slacks'
 calculation. Fore more information about the theoretical background of the
 package, please refer to Bogetoft & Otto (2011)
 <doi:10.1007/978-1-4419-7961-2>.

Package: r-cran-fars
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1870
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-sn, r-cran-nloptr, r-cran-ellipse, r-cran-syscselection, r-cran-quantreg, r-cran-tidyr, r-cran-dplyr, r-cran-forcats, r-cran-mass, r-cran-reshape2, r-cran-stringr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-openxlsx, r-cran-readxl, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-fars_0.4.0-1.ca2004.1_all.deb
Size: 1400740
MD5sum: ea357e5b006cde262c73697a42ee8af0
SHA1: b935788fdc36d7a7cb21fc5500a60343e12ed405
SHA256: 53455be2b38b0d4fa89623eb53508c4e25b3781e7c0bd6e1c2e0ce961f898ea8
SHA512: d14611bb3a78ffe982e0ab1a5cbdccecaa58dfa3a6d513ddb02316fe3535477056edea4e010cf439b4016197a2dc218020e800fb98a4c262db2c08d74ed34307
Homepage: https://cran.r-project.org/package=FARS
Description: CRAN Package 'FARS' (Factor-Augmented Regression Scenarios)
 Provides a comprehensive framework in R for modeling and forecasting
 economic scenarios based on multi-level dynamic factor model. The package
 enables users to: (i) extract global and block-specific factors using a
 flexible multilevel factor structure; (ii) compute asymptotically valid
 confidence regions for the estimated factors, accounting for uncertainty in
 the factor loadings; (iii) estimate factor-augmented quantile regressions;
 (iv) recover full predictive densities from these quantile forecasts; and
 (v) estimate the density when the factors are stressed.

Package: r-cran-fase
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rspectra, r-cran-rtensor, r-cran-splines2
Filename: pool/dists/focal/main/r-cran-fase_1.0.1-1.ca2004.1_all.deb
Size: 137088
MD5sum: d977814fe018c1838265a209cbba66b1
SHA1: 016a7410f5df280b7296350eeda683ffc0ee987a
SHA256: 160411ddd1130f518982d9f0e78b5e9a5cd6fbb0b6f61ce69b2d6a91f552f230
SHA512: 180350049ae0ef1515d025d55e7b2dde98cc43a60eaf15e5177a1ba967d3bc100f315020274c31cb4913f1db163da6f31f5d8b82f8dcd7a1b9f69f6fb401a1a0
Homepage: https://cran.r-project.org/package=fase
Description: CRAN Package 'fase' (Functional Adjacency Spectral Embedding)
 Latent process embedding for functional network data with the Functional
 Adjacency Spectral Embedding. Fits smooth latent processes based on cubic
 spline bases. Also generates functional network data from three models, and
 evaluates a network generalized cross-validation criterion for dimension
 selection. For more information, see MacDonald, Zhu and Levina (2022+)
 <arXiv:2210.07491>.

Package: r-cran-faseg
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-faseg_0.1.9-1.ca2004.1_all.deb
Size: 40884
MD5sum: ef8f4fd8fcd8ee51ee535c55ba35c57c
SHA1: 001acb5fed7cc693f9080dbe397b4f3cb5708dfa
SHA256: 452899c09aa752c48dde3e55eb9c36941d39b1cc9785d38c9264ec3515355ca9
SHA512: 2e44f4f670e700339b3677df417aeeefbe0bd78c0f58832326850612e5c067929a1e96c4dff95712fb91e56f4cc56d0f45e6021babd0f89326c761bf986163ad
Homepage: https://cran.r-project.org/package=FASeg
Description: CRAN Package 'FASeg' (Joint Segmentation of Correlated Time Series)
 It contains a function designed to the joint segmentation in the mean of
 several correlated series. The method is described in the paper X.
 Collilieux, E. Lebarbier and S. Robin. A factor model approach for the joint
 segmentation with between-series correlation (2015) <arXiv:1505.05660>.

Package: r-cran-fasi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-naivebayes, r-cran-fastadaboost, r-cran-gam
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fasi_1.0.0-1.ca2004.1_all.deb
Size: 486888
MD5sum: 203d42878be0abd7277f56b8c264c1a9
SHA1: 4ba308fefb4e8a14f3cfc6fff5acef1a8efc242e
SHA256: 08b20e4a97c24989c44adb90c0af2081664782f9963fad54523183c4aaf824cd
SHA512: 3ce66f76cbf1c63562772d6686a89581e44ae83179e4eff3ecc1cf0daf7733b5072e82c290f4e9fabaee2b59d71cc751e5fa5ac7f66cb728ff6178ebe78e40c7
Homepage: https://cran.r-project.org/package=fasi
Description: CRAN Package 'fasi' (Fair Adjusted Selective Inference)
 The Fair Adjusted Selective Inference (FASI) procedure as described in the
 paper "A Fairness-Adjusted Selective Inference Framework For Classification"
 By: Bradley Rava, Wen Sun, Gareth James and Xin Tong (2021). The package
 includes a function that preforms the FASI procedure and returns both the
 r-scores and classification for new observations.

Package: r-cran-fasjem
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-fasjem_1.1.2-1.ca2004.1_all.deb
Size: 360092
MD5sum: c6720f4de28c9e147ec0a2b8a0123652
SHA1: 97d2e5eb030967ca41a816182edceca4383b6b45
SHA256: ebca45d15d219bd5c7622c65b4728ec4a3559d929db50778229ca20e08b9971d
SHA512: 7ace2bd8c8a74175edb3d20314685840d7afc1de46c2f9ee364dbe8c82e233a241a283980029fb596e2a83da3acd6c9846439982bfdbf8fc199a33d20d5b599e
Homepage: https://cran.r-project.org/package=fasjem
Description: CRAN Package 'fasjem' (A Fast and Scalable Joint Estimator for Learning MultipleRelated Sparse Gaussian Graphical Models)
 This is an R implementation of "A Fast and Scalable Joint Estimator for
 Learning Multiple Related Sparse Gaussian Graphical Models" (FASJEM). The
 FASJEM algorithm can be used to estimate multiple related precision
 matrices. For instance, it can identify context-specific gene networks from
 multi-context gene expression datasets. By performing data-driven network
 inference from high-dimensional and heterogonous data sets, this tool can
 help users effectively translate aggregated data into knowledge that take
 the form of graphs among entities. Please run demo(fasjem) to learn the
 basic functions provided by this package. For more details, please see
 <http://proceedings.mlr.press/v54/wang17e/wang17e.pdf>.

Package: r-cran-fassets
Architecture: all
Version: 4023.85-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics, r-cran-fmultivar, r-cran-robustbase, r-cran-mass, r-cran-sn, r-cran-ecodist, r-cran-mvnormtest, r-cran-energy
Suggests: r-cran-mnormt, r-cran-runit
Filename: pool/dists/focal/main/r-cran-fassets_4023.85-1.ca2004.1_all.deb
Size: 288708
MD5sum: 03add5611004f33afc9b9eaafbdc8766
SHA1: d783424dc69cebf50ad8bdff9b3c83ccb5a7a73f
SHA256: 03c172736221925a08a845980b4480d0d2b47330eed49a7fc191073e2749a315
SHA512: 6333c80ca05bf25abf7168028751c144f44cb96f366f50d2f55de830e69dd9b6fa6fccc98e63878201e3132409f5da1ad97ab29f66c413713fe6639924fcd205
Homepage: https://cran.r-project.org/package=fAssets
Description: CRAN Package 'fAssets' (Rmetrics - Analysing and Modelling Financial Assets)
 A collection of functions to manage, to investigate and to analyze data sets
 of financial assets from different points of view.

Package: r-cran-fasstr
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2947
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-e1071, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-lubridate, r-cran-openxlsx, r-cran-pearsonds, r-cran-plyr, r-cran-purrr, r-cran-rcpproll, r-cran-scales, r-cran-tidyhydat, r-cran-tidyr, r-cran-zyp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fasstr_0.5.3-1.ca2004.1_all.deb
Size: 2101856
MD5sum: 2f1c07057acd24beff7ae562612c0947
SHA1: fd42049b14d1eeeee0391b78e530d1af58b073db
SHA256: a90600d590595a5a5e2e2cc673d76220f4ad56e08f9d0c19cb2948f074cd6a73
SHA512: e1c5d7a5115421252918868f6ee7f025c192a1e4eb339c0da15ef7ba7027a1a6de914be6e101345f4ae8ccdf6dc35864a5e29bd5ca2bcac8b41be240cd2fa954
Homepage: https://cran.r-project.org/package=fasstr
Description: CRAN Package 'fasstr' (Analyze, Summarize, and Visualize Daily Streamflow Data)
 The Flow Analysis Summary Statistics Tool for R, 'fasstr', provides various
 functions to tidy and screen daily stream discharge data, calculate and
 visualize various summary statistics and metrics, and compute annual
 trending and volume frequency analyses.  It features useful function
 arguments for filtering of and handling dates, customizing data and metrics,
 and the ability to pull daily data directly from the Water Survey of Canada
 hydrometric database
 (<https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>).

Package: r-cran-fast.r
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2825
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-magrittr, r-cran-plater, r-cran-purrr, r-cran-rcolorbrewer, r-cran-readxl, r-cran-scales, r-cran-shiny, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-waiter, r-cran-zip
Suggests: r-cran-randomforest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fast.r_0.2.1-1.ca2004.1_all.deb
Size: 1161004
MD5sum: 0669fdeb38910c0940db61aa3ba37ee2
SHA1: 0c3e22d0a6ca2a217f818cd4adcec34fe37d591b
SHA256: 014d7f127e2ddb235d0063bbb721ebf1fa380956ab591742b2d36ed13893e42c
SHA512: b2e98dc63272f4c6028bbc61ec8238fd11e844ab1e7069f6358b8172f10a4d692107385a1eb535598025627de1dcf3d0f45dfdf658758d9151509c246e785cdc
Homepage: https://cran.r-project.org/package=FAST.R
Description: CRAN Package 'FAST.R' (Analyze and Visualize FAST-Generated Data)
 R 'shiny' app to perform data analysis and visualization for the Fully
 Automated Senescence Test (FAST) workflow.

Package: r-cran-fasta
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fasta_0.1.0-1.ca2004.1_all.deb
Size: 17076
MD5sum: cc01e3a8c91255d002f297c5dbb08281
SHA1: 9d4465c7f51e13b088ce02d9f13567648a6506a6
SHA256: 0c49e18af2c14906278a4940f9fd67d2b192cff0b8253cef40a10dd360c9d9ea
SHA512: 6a4a6085f8f14a9ee627eebcef544caacdf79fe35392f40af55187f37505f4f3be935b7cf42ef50d7fac961c1fbcad6a016e66702327e1030f6456ca151ecc64
Homepage: https://cran.r-project.org/package=fasta
Description: CRAN Package 'fasta' (Fast Adaptive Shrinkage/Thresholding Algorithm)
 A collection of acceleration schemes for proximal gradient methods for
 estimating penalized regression parameters described in Goldstein, Studer,
 and Baraniuk (2016) <arXiv:1411.3406>. Schemes such as Fast Iterative
 Shrinkage and Thresholding Algorithm (FISTA) by Beck and Teboulle (2009)
 <doi:10.1137/080716542> and the adaptive stepsize rule introduced in Wright,
 Nowak, and Figueiredo (2009) <doi:10.1109/TSP.2009.2016892> are included.
 You provide the objective function and proximal mappings, and it takes care
 of the issues like stepsize selection, acceleration, and stopping conditions
 for you.

Package: r-cran-fastai
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5004
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-generics, r-cran-png, r-cran-ggplot2, r-cran-ggpubr, r-cran-glue
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-curl, r-cran-magrittr, r-cran-data.table, r-cran-vctrs, r-cran-r.utils, r-cran-viridis, r-cran-zeallot
Filename: pool/dists/focal/main/r-cran-fastai_2.2.2-1.ca2004.1_all.deb
Size: 3368116
MD5sum: eb61bedcf11acfce3a1e8fa4635ef6f9
SHA1: e82d01c01ad73291bb9c2e73dbe2febbe45903fc
SHA256: a536714510027efbdc128e22b88dead4a65977bb0967e68cfc6af86a5dd40efb
SHA512: 2e60831707d5b11bad1dc77a7208ff293ad77ff2f1f9d2605752eceab43e8ebebb210b47a25e0ee9cc7565c1ccfa8f3821fd0b1a514c431c0b4c98bd32bb09e8
Homepage: https://cran.r-project.org/package=fastai
Description: CRAN Package 'fastai' (Interface to 'fastai')
 The 'fastai' <https://docs.fast.ai/index.html> library simplifies training
 fast and accurate neural networks using modern best practices. It is based
 on research in to deep learning best practices undertaken at 'fast.ai',
 including 'out of the box' support for vision, text, tabular, audio, time
 series, and collaborative filtering models.

Package: r-cran-fastbackward
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fastbackward_1.0.1-1.ca2004.1_all.deb
Size: 27432
MD5sum: d3301fe66b74320be7aa2cea517a1d91
SHA1: b395629fdd274dd6f0383f1d7ffcea5c73ad8517
SHA256: 04aa615040b041e576c85c75732957f3dc5a477562cc11ac9d67632d2744f810
SHA512: 2ed65d85438bc0262ca1bfa3a9d84e3d654fb37710a9f89db8be56ec822d90da38612a3a2a0cde722cc3ea839d9cadef3f2a7a0b4ee667bfc6295f5da68e3fc6
Homepage: https://cran.r-project.org/package=fastbackward
Description: CRAN Package 'fastbackward' (Fast Backward Elimination Based on Information Criterion)
 Performs backward elimination with similar syntax to the stepAIC() function
 from the 'MASS' package. A bounding algorithm is used to avoid fitting
 unnecessary models, making it much faster.

Package: r-cran-fastcorrdiff
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-irlba, r-cran-plyr, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-fastcorrdiff_0.5-1.ca2004.1_all.deb
Size: 41872
MD5sum: 4d41c94ed9e7c06a3b10ce5488e6edb7
SHA1: 00a1c42e1db85f040f6862dfe7578b4b99deca52
SHA256: c78ff5bf33ed80ea58e9bf9f66add494c5986218c04a9e9a365f7eab21d9c290
SHA512: 6f50a5589e6689292e8cafb946483534fb26e51c8054bd99677c7c9e1aaa0bbf6b518be184887b7fc18470f9d5434482b22b9773283fc0cb699f8521be139a8c
Homepage: https://cran.r-project.org/package=fastCorrDiff
Description: CRAN Package 'fastCorrDiff' (Fast Differential Correlation Matrix Screening)
 Fast spectral algorithms for differential analysis on large-scale
 correlation matrices of Li et. al. (2021) <arXiv:2111.03721> are
 implemented. The methods can identify a group of genes exhibiting
 differential correlation patterns between two groups. For high-dimensional
 matrices, compressed spectral screening methods are also provided based on
 random subsampling. The work to build this package is partially supported by
 the NSF grant DMS-2015298.

Package: r-cran-fastcub
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula, r-cran-cub
Filename: pool/dists/focal/main/r-cran-fastcub_0.0.3-1.ca2004.1_all.deb
Size: 261804
MD5sum: 646c15dbc93f7c3a2a7d71585dca5b26
SHA1: afb3b1aded42fb52a27b539aa2d8bd42f13d5104
SHA256: f2c13a1d781d7239bc8fefa324ebb982d56c3ed942408319ef14e529bd1b4a4f
SHA512: 4aebce8461f15355784c8dc6f709644e33fb54f7f36b1410a47473e97de2f83320310f12d7b4f3c20b8e0aca0fad0446ba2273a94c6d1eebfe70cc2427b88d19
Homepage: https://cran.r-project.org/package=FastCUB
Description: CRAN Package 'FastCUB' (Fast Estimation of CUB Models via Louis' Identity)
 For ordinal rating data, consider the accelerated EM algorithm to estimate
 and test models within the family of CUB models (where CUB stands for
 Combination of a discrete Uniform and a shifted Binomial distributions). The
 procedure is built upon Louis' identity for the observed information matrix.
 Best-subset variable selection is then implemented since it becomes more
 feasible from the computational point of view.

Package: r-cran-fastdid
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 560
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-bmisc, r-cran-collapse, r-cran-dreamerr, r-cran-parglm, r-cran-ggplot2
Suggests: r-cran-did, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-fastdid_1.0.5-1.ca2004.1_all.deb
Size: 354716
MD5sum: b21680238d18ade4e0afefe17264f2b8
SHA1: 3c8395d73095eae55f41d3dba2aa5b4429bd69bf
SHA256: c3955bd67338fcf800de5b2b25ff51877e0f298d288d1a0b70981ce387815f65
SHA512: 4831e80ee470620d17153999028c1fc6df09fb74e87542052bad1fd546d29bb1af62bcb36aca5b82d20c3c39179c46d6c2a599a925b1c678d77d77f1dcc52ac5
Homepage: https://cran.r-project.org/package=fastdid
Description: CRAN Package 'fastdid' (Fast Staggered Difference-in-Difference Estimators)
 A fast and flexible implementation of Callaway and Sant'Anna's
 (2021)<doi:10.1016/j.jeconom.2020.12.001> staggered
 Difference-in-Differences (DiD) estimators, 'fastdid' reduces the
 computation time from hours to seconds, and incorporates extensions such as
 time-varying covariates and multiple events.

Package: r-cran-fastdummies
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-tibble, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fastdummies_1.7.5-1.ca2004.1_all.deb
Size: 40580
MD5sum: 4594c663cca0835da4e3cafd313c421e
SHA1: 72d887e6b15713612663d1f75635a9ed05d0c54e
SHA256: 49bec6fc65889b4ffb6d74df87078329c3e1c82ce1279834566f501e55061bcf
SHA512: 4a7293f41c07ce8aaca3284206f8a2f2b950a996b5cfd758ae49bf5190844d073ec07d7624dee1df7aa0a14f15fe87b29549373c4f8e1d9fdd7e1391edf7baf5
Homepage: https://cran.r-project.org/package=fastDummies
Description: CRAN Package 'fastDummies' (Fast Creation of Dummy (Binary) Columns and Rows fromCategorical Variables)
 Creates dummy columns from columns that have categorical variables
 (character or factor types). You can also specify which columns to make
 dummies out of, or which columns to ignore. Also creates dummy rows from
 character, factor, and Date columns. This package provides a significant
 speed increase from creating dummy variables through model.matrix().

Package: r-cran-fasterraster
Architecture: all
Version: 8.4.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5948
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dt, r-cran-omnibus, r-cran-rgrass, r-cran-sf, r-cran-shiny, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fasterraster_8.4.1.0-1.ca2004.1_all.deb
Size: 4143328
MD5sum: cbbb8332b9babd09873ff53db8679f97
SHA1: c3db53616f9b906452fe5de954e00b9d0d142176
SHA256: 56aaadacf4ff55018452679293a70b3870b34ad3ef9046c03d00e8b220da1586
SHA512: 1e5077a035c753d686f15704b9b2b6967a1ce3ef635c0e2b9e731c1d9ddac14ea119109a8c0ef19b33fc641114262662e986779f8950f8bbddacfe9a44fa2fab
Homepage: https://cran.r-project.org/package=fasterRaster
Description: CRAN Package 'fasterRaster' (Faster Raster and Spatial Vector Processing Using 'GRASS')
 Processing of large-in-memory/large-on disk rasters and spatial vectors
 using 'GRASS' <https://grass.osgeo.org/>. Most functions in the 'terra'
 package are recreated. Processing of medium-sized and smaller spatial
 objects will nearly always be faster using 'terra' or 'sf', but for
 large-in-memory/large-on-disk objects, 'fasterRaster' may be faster.  To use
 most of the functions, you must have the stand-alone version (not the
 'OSGeoW4' installer version) of 'GRASS' 8.0 or higher.

Package: r-cran-fastfmm
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-caic4, r-cran-magrittr, r-cran-dplyr, r-cran-mgcv, r-cran-mass, r-cran-lsei, r-cran-refund, r-cran-stringr, r-cran-matrix, r-cran-mvtnorm, r-cran-progress, r-cran-ggplot2, r-cran-gridextra, r-cran-rfast, r-cran-lmeresampler
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fastfmm_0.4.0-1.ca2004.1_all.deb
Size: 454600
MD5sum: 918a98b464ce6c7014fa6a815abd80bb
SHA1: 16047a3e91e52744471cde87993538becb7f4533
SHA256: c9c2bdfb6a8400124f82f919056d2ed4c9180200642263f9677e080c55351bf9
SHA512: ceaabfd6cb6249cc4cfe4b545d3f1d0a1ce43634b4f1799fdf2c98dc78ab778cf8e629a71b93135f03f89283d91289e30567a924dddd1ba770b29c4dd43b1fb8
Homepage: https://cran.r-project.org/package=fastFMM
Description: CRAN Package 'fastFMM' (Fast Functional Mixed Models using Fast Univariate Inference)
 Implementation of the fast univariate inference approach (Cui et al. (2022)
 <doi:10.1080/10618600.2021.1950006>, Loewinger et al. (2024)
 <doi:10.7554/eLife.95802.2>) for fitting functional mixed models. User
 guides and Python package information can be found at
 <https://github.com/gloewing/photometry_FLMM>.

Package: r-cran-fastgraph
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-jmuoutlier
Filename: pool/dists/focal/main/r-cran-fastgraph_2.1-1.ca2004.1_all.deb
Size: 85516
MD5sum: 2fcf0ced671d3304be50c1394f6cc1d3
SHA1: c31b302058e74aadc8ff05ec76c10e11ee6dde12
SHA256: d094fe9056dcb853df867579147ac6392ff8335b211e764b9c153ad1b22a39f9
SHA512: b0a37586eb6425b398587c5050e74ee251f898891f77885d18cb1359b05ffa04a9132a639b417eabea544b04ce26a42671bd7c0bb23cfd4239348882674d2bf5
Homepage: https://cran.r-project.org/package=fastGraph
Description: CRAN Package 'fastGraph' (Fast Drawing and Shading of Graphs of Statistical Distributions)
 Provides functionality to produce graphs of probability density functions
 and cumulative distribution functions with few keystrokes, allows shading
 under the curve of the probability density function to illustrate concepts
 such as p-values and critical values, and fits a simple linear regression
 line on a scatter plot with the equation as the main title.

Package: r-cran-fasthica
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastica, r-cran-energy
Filename: pool/dists/focal/main/r-cran-fasthica_1.0.2-1.ca2004.1_all.deb
Size: 33304
MD5sum: 3d7496a52666add536a024f5e715de20
SHA1: ae7d6894a6d1f2319c012a8735fff6deada32541
SHA256: c305d816f700409740493c6cb1d85f3ea90c91ae211229588c13a913960cf15b
SHA512: 208e644a05d916a5394db444a633577576d77fb2b632895a8bbe882b2f84e8c921b4185c45e9f6c3a67dc5e479b0b1681e96e04dd85881afe9cd1aadbaca5515
Homepage: https://cran.r-project.org/package=fastHICA
Description: CRAN Package 'fastHICA' (Hierarchical Independent Component Analysis: a Multi-ScaleSparse Non-Orthogonal Data-Driven Basis)
 It implements HICA (Hierarchical Independent Component Analysis) algorithm.
 This approach, obtained through the integration between treelets and
 Independent Component Analysis, is able to provide a multi-scale
 non-orthogonal data-driven basis, whose elements have a phenomenological
 interpretation according to the problem under study.

Package: r-cran-fasthplus
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1893
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-clustercrit
Filename: pool/dists/focal/main/r-cran-fasthplus_1.0-1.ca2004.1_all.deb
Size: 823068
MD5sum: 0641d03502f583672901051eeb850b98
SHA1: d8fb7b416b61a12d2a03aab4c9840c5a95b23171
SHA256: 2a36b4c13cce96c0ae125249758418ce7ed4ff203318fa833ea37b209fbeaa20
SHA512: d80ea339d1bba8e3f362e48fc312a6a4f16c3ab098318603b3e45b67f7df78b2f7c8048a2f7466d2a52ff1771ed46cc1a48eea6a5a7a48fa52c3eb23bea0ae25
Homepage: https://cran.r-project.org/package=fasthplus
Description: CRAN Package 'fasthplus' (Fast Label-Dissimilarity Discordance Estimation with H+)
 Estimation procedures for assessing fitness of observation labels (i.e.,
 clusters or partitions) given observation dissimilarities, or vice versa.
 The estimated parameter of interest is modified from G+ (Williams 1971), so
 we call it H+.

Package: r-cran-fastimputation
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 677
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-fastimputation_2.2.1-1.ca2004.1_all.deb
Size: 623192
MD5sum: 77ebd58837769e3ccda5f6d6f94c85c8
SHA1: 1fc0a8b4767785a777cd83c816c649f6656ef820
SHA256: be5b15c44d3b1ba35f54f72b9e40814c3f94f5106c17bd927d2ee550ad2f2b9f
SHA512: eff0bc4360bc27cef62991957f16c0b35a3ac83c20ef925160519ea3e46b18c6b396ad8d30a2b00b73f8f28f2c4bf551f126ea78fa872bbbbd620a4469421be2
Homepage: https://cran.r-project.org/package=FastImputation
Description: CRAN Package 'FastImputation' (Learn from Training Data then Quickly Fill in Missing Data)
 TrainFastImputation() uses training data to describe a multivariate normal
 distribution that the data approximates or can be transformed into
 approximating and stores this information as an object of class
 'FastImputationPatterns'. FastImputation() function uses this
 'FastImputationPatterns' object to impute (make a good guess at) missing
 data in a single line or a whole data frame of data.  This approximates the
 process used by 'Amelia' <https://gking.harvard.edu/amelia> but is much
 faster when filling in values for a single line of data.

Package: r-cran-fastkm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rarpack
Suggests: r-cran-skat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-fastkm_1.2-1.ca2004.1_all.deb
Size: 87668
MD5sum: 23215c5bff08349d281d92cb3c1c001c
SHA1: 43470e219f037f1da89258629ef4a297d9f9e983
SHA256: 34b0de10dc3493d3974be7b3686ad5a4a9755b22cb7431171bac1e2f9d3dd778
SHA512: 0c02826f64d9e1c48b5ffbc79c6bfbbcc1c4861c72e8571a82a6e515cd8c168d79f3e62a5b3521d23e23c34acbb4e82edde5e912e8eed3bae5002eb9c2996b42
Homepage: https://cran.r-project.org/package=FastKM
Description: CRAN Package 'FastKM' (A Fast Multiple-Kernel Method Based on a Low-Rank Approximation)
 A computationally efficient and statistically rigorous fast Kernel Machine
 method for multi-kernel analysis. The approach is based on a low-rank
 approximation to the nuisance effect kernel matrices. The algorithm is
 applicable to continuous, binary, and survival traits and is implemented
 using the existing single-kernel analysis software 'SKAT' and 'coxKM'.
 'coxKM' can be obtained from <https://github.com/lin-lab/coxKM>.

Package: r-cran-fastknn
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pdist, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-fastknn_0.0.1-1.ca2004.1_all.deb
Size: 19260
MD5sum: f4e9bf9f73f772f4d88841726e2f6a6b
SHA1: 0cd55e7173dcc132dd98c9c13fa8e5758641d19f
SHA256: 56df16e6b1a8dd6d54523e76f28eb50f0ca20e738852ee14b59d7fb7dbe2b5ac
SHA512: 658056eb8fea3499ced285e05356d8c0ceee8fbf62fe51f4ffc638fee9c50e669fda6c14e60d9b525326ae2878b60498c8e00ba941d9f8d33a9bc77677095973
Homepage: https://cran.r-project.org/package=FastKNN
Description: CRAN Package 'FastKNN' (Fast k-Nearest Neighbors)
 Compute labels for a test set according to the k-Nearest Neighbors
 classification. This is a fast way to do k-Nearest Neighbors classification
 because the distance matrix -between the features of the observations- is an
 input to the function rather than being calculated in the function itself
 every time.

Package: r-cran-fastlaplace
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rspectra, r-cran-bbmle, r-cran-fields
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-mgcv, r-cran-ngspatial, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fastlaplace_0.0.2-1.ca2004.1_all.deb
Size: 71556
MD5sum: e58f65795b2e64e20e290476b96ed483
SHA1: ec0a9cfc90ea3e7ccd885ccc5b6000d97fc90147
SHA256: df7e76f95766980983f493ec1698684480fc6365552f470febcb3cf5402e9b78
SHA512: 01c32921e78dfbc0ffca5e848112b906a9a6a838cc207e4b21c0328f729141500d96ba8624014af087f85cca876762faf0ac0cf09ab471c55ba50c1bf6ff493a
Homepage: https://cran.r-project.org/package=fastLaplace
Description: CRAN Package 'fastLaplace' (A Fast Laplace Method for Spatial Generalized Linear Mixed Model)
 Fitting a fast Laplace approximation for Spatial Generalized Linear Mixed
 Model as described in Park and Lee (2021)
 <https://github.com/sangwan93/fastLaplace/blob/main/FastLaplaceMain.pdf>.

Package: r-cran-fastlogitme
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fastlogitme_0.1.0-1.ca2004.1_all.deb
Size: 24756
MD5sum: 7e76f5f197d74fd1f7297f0ad2c93502
SHA1: e8f9d0db8d792cd741e3fe4e33e9e442b357e4f4
SHA256: 82e72b3042d336a2d01c70a2cd1711d2f569feeeaf6b8ec707bd3f1e4b74dbeb
SHA512: c88a693d070ca42463c40298e0a5c9860b76c9373465662512f09bee04409c9f7af3412bc12b56853bd8bfcb9943296e4724bdcba1a4395423e3e41fab0cd600
Homepage: https://cran.r-project.org/package=fastlogitME
Description: CRAN Package 'fastlogitME' (Basic Marginal Effects for Logit Models)
 Calculates marginal effects based on logistic model objects such as 'glm' or
 'speedglm' at the average (default) or at given values using finite
 differences. It also returns confidence intervals for said marginal effects
 and the p-values, which can easily be used as input in stargazer. The
 function only returns the essentials and is therefore much faster but not as
 detailed as other functions available to calculate marginal effects. As a
 result, it is highly suitable for large datasets for which other packages
 may require too much time or calculating power.

Package: r-cran-fastmarching
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-raster, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-fastmarching_1.1.0-1.ca2004.1_all.deb
Size: 31188
MD5sum: f0d3b1f5c9c54fe6352ca3d417a02fd2
SHA1: 42eef63c6697fe9c4a29c801e9dd1a1b35e9b053
SHA256: f96db6eb4568364b439a80f3d12aaca0648fd2d5ca254391e67dd06b06336783
SHA512: aaca4dfa96903fe7545ca52add8ff617c3931453fa27378a9f0b7420dceb04345b2441414d84f856cb2067495f91916cbafc27b87c71e3aa53de2956a6d57296
Homepage: https://cran.r-project.org/package=fastmaRching
Description: CRAN Package 'fastmaRching' (Fast Marching Method for Modelling Evolving Boundaries)
 Fast Marching Method (FMM) first developed by Sethian (1996)
 <http://www.pnas.org/content/93/4/1591.short>, and further extended by
 including a second-order approximation, the first-arrival rule, additive
 weights, and non-homogeneous domains following Silva and Steele (2012)
 <doi:10.1142/S0219525911003293> and Silva and Steele (2014)
 <doi:10.1016/j.jas.2014.04.021>.

Package: r-cran-fastml
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-recipes, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-rsample, r-cran-parsnip, r-cran-tune, r-cran-workflows, r-cran-yardstick, r-cran-tibble, r-cran-rlang, r-cran-dials, r-cran-rcolorbrewer, r-cran-baguette, r-cran-bonsai, r-cran-discrim, r-cran-dofuture, r-cran-finetune, r-cran-future, r-cran-plsmod, r-cran-probably, r-cran-viridislite, r-cran-dalex, r-cran-magrittr, r-cran-patchwork, r-cran-proc, r-cran-janitor, r-cran-stringr, r-cran-dt, r-cran-ggally, r-cran-upsetr, r-cran-vim, r-cran-broom, r-cran-dbscan, r-cran-ggpubr, r-cran-gridextra, r-cran-htmlwidgets, r-cran-kableextra, r-cran-moments, r-cran-naniar, r-cran-plotly, r-cran-scales, r-cran-skimr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-mice, r-cran-missforest
Suggests: r-cran-testthat, r-cran-c50, r-cran-glmnet, r-cran-xgboost, r-cran-ranger, r-cran-crayon, r-cran-kernlab, r-cran-klar, r-cran-kknn, r-cran-keras, r-cran-lightgbm, r-cran-rstanarm, r-bioc-mixomics
Filename: pool/dists/focal/main/r-cran-fastml_0.6.1-1.ca2004.1_all.deb
Size: 308872
MD5sum: 4fa2cdc00462e4d7e787c485eb8733b2
SHA1: 10fbf8c7095a81aae94c281f33522f542345cc47
SHA256: abb8700f1ff2cb9bc49f68c80659acf1b9e67afcc1b8b57c36e220b720777ee5
SHA512: 216d739bdd00ec6f3a3be365e47451a89d07f3d54e3256194988e0c80029d1abd37816f52b8ac2c6f2b330db58494b3df8a0a072ce99cbc1f597a0bda99283cb
Homepage: https://cran.r-project.org/package=fastml
Description: CRAN Package 'fastml' (Fast Machine Learning Model Training and Evaluation)
 Streamlines the training, evaluation, and comparison of multiple machine
 learning models with minimal code by providing comprehensive data
 preprocessing and support for a wide range of algorithms with hyperparameter
 tuning.  It offers performance metrics and visualization tools to facilitate
 efficient and effective machine learning workflows.

Package: r-cran-fastnaivebayes
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fastnaivebayes_2.2.1-1.ca2004.1_all.deb
Size: 1147740
MD5sum: 8e0680464f3e7db25962255e53b77f9c
SHA1: b4a00a11c450da74a2c7443d07e966133eeee8ec
SHA256: f921073703d3c8dec962bff9fb50c46f87191a2b60a1afa66c2d4abfced691d2
SHA512: 58eee0aa48d80b445437584d875a1f8fd9930d859daa282d9f47f39f59cc1004e83b2b8df371780c5780c1f32a7c0ca9722567b71cc08208c8f0d24aa59bae6f
Homepage: https://cran.r-project.org/package=fastNaiveBayes
Description: CRAN Package 'fastNaiveBayes' (Extremely Fast Implementation of a Naive Bayes Classifier)
 This is an extremely fast implementation of a Naive Bayes classifier. This
 package is currently the only package that supports a Bernoulli
 distribution, a Multinomial distribution, and a Gaussian distribution,
 making it suitable for both binary features, frequency counts, and numerical
 features. Another feature is the support of a mix of different event models.
 Only numerical variables are allowed, however, categorical variables can be
 transformed into dummies and used with the Bernoulli distribution.  The
 implementation is largely based on the paper "A comparison of event models
 for Naive Bayes anti-spam e-mail filtering" written by K.M. Schneider (2003)
 <doi:10.3115/1067807.1067848>. Any issues can be submitted to:
 <https://github.com/mskogholt/fastNaiveBayes/issues>.

Package: r-cran-fastnet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-fastnet_1.0.0-1.ca2004.1_all.deb
Size: 178132
MD5sum: 19d4615925651f7f17061fa0fb382fb6
SHA1: db7f7b482e9d00cdcb033168fc82842f1f389c32
SHA256: 740205f12b1cffe480c7ff3cd6eec399ca03085695a0449860555f506551d2b2
SHA512: 2d6aabd15a95d0612a80339fd9653e213cb0437583b9c93f9d821f7ddaae997cc1cbb08659f7960d32609705b8f2504f52aeb66a592e2ec3b3af890537db69b9
Homepage: https://cran.r-project.org/package=fastnet
Description: CRAN Package 'fastnet' (Large-Scale Social Network Analysis)
 We present an implementation of the algorithms required to simulate
 large-scale social networks and retrieve their most relevant metrics.
 Details can be found in the accompanying scientific paper on the Journal of
 Statistical Software, <doi:10.18637/jss.v096.i07>.

Package: r-cran-fastonlinecpt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-fastonlinecpt_1.0-1.ca2004.1_all.deb
Size: 134944
MD5sum: c1e268df70c260a3adb50e6dbf78ab22
SHA1: 1926a0ea55a06c1844b9a3ac8a969199a61a0170
SHA256: 75e4b874453c4dd81cf785cd48eefbce87518fded127627abd7fec332fd6b3d4
SHA512: 20a2cdccc62a2b889ed84cee8a1fd75aa13fe4d17d81dcfd006cb03f48fe5ffbb27ce5263051cd74fc63517af64c5543a6d862b0f91d80b70d48bdbdd1e13123
Homepage: https://cran.r-project.org/package=fastOnlineCpt
Description: CRAN Package 'fastOnlineCpt' (Online Multivariate Changepoint Detection)
 Implementation of a simple algorithm designed for online multivariate
 changepoint detection of a mean in sparse changepoint settings. The
 algorithm is based on a modified cusum statistic and guarantees control of
 the type I error on any false discoveries, while featuring O(1) time and
 O(1) memory updates per series as well as a proven detection delay.

Package: r-cran-fastpseudo
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-geepack
Filename: pool/dists/focal/main/r-cran-fastpseudo_0.1-1.ca2004.1_all.deb
Size: 14172
MD5sum: 8603d84d3c110c7e04ebe2abfe1ec387
SHA1: c8f9bb0632a4aa70759a8e1b2815b5e405c938b3
SHA256: 8885cdc909ec34e2c61096de7b0a38aea9f10442f237c861a7bb69cca935cd7a
SHA512: 11bca00324631e8fe4c73bdb126344b29a45173f8bddff7911a9f23ce240ea00b10d05f50a5877ecc50dea0e21a8a0e29a3ef15f73d2db1e83cce89adfb89f7c
Homepage: https://cran.r-project.org/package=fastpseudo
Description: CRAN Package 'fastpseudo' (Fast Pseudo Observations)
 Computes pseudo-observations for survival analysis on right-censored data
 based on restricted mean survival time.

Package: r-cran-fastqcr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1310
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-gridextra, r-cran-ggplot2, r-cran-magrittr, r-cran-readr, r-cran-rmarkdown, r-cran-rvest, r-cran-tibble, r-cran-tidyr, r-cran-scales, r-cran-xml2, r-cran-rlang
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fastqcr_0.1.3-1.ca2004.1_all.deb
Size: 1284948
MD5sum: 08bf9e7a660683e8e3e4b36ac4efb8f1
SHA1: b54ef590d70316c25a82ef70fe54255fdeb36a3e
SHA256: 980ca68ecbf8bbc998f89ca004812d94faf3b6dfbcf971a99bd71f00f4d36753
SHA512: d8f8b3408e102d635128e237d12aecbe87380e418e67b731cd7d64b148f7d8c0073c643c86475acd4eedab91e573355cb57cd47329e84596beb85060fbf75a61
Homepage: https://cran.r-project.org/package=fastqcr
Description: CRAN Package 'fastqcr' (Quality Control of Sequencing Data)
 'FASTQC' is the most widely used tool for evaluating the quality of high
 throughput sequencing data.  It produces, for each sample, an html report
 and a compressed file containing the raw data.  If you have hundreds of
 samples, you are not going to open up each 'HTML' page.  You need some way
 of looking at these data in aggregate.  'fastqcr' Provides helper functions
 to easily parse, aggregate and analyze 'FastQC' reports for large numbers of
 samples. It provides a convenient solution for building a 'Multi-QC' report,
 as well as, a 'one-sample' report with result interpretations.

Package: r-cran-fastqrs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-copula
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sampleselection, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-fastqrs_1.0.0-1.ca2004.1_all.deb
Size: 264820
MD5sum: 478b3404fa2ccd5fc9dcb016ebcddae6
SHA1: 152396143be623bdedf1b9bb0fc246de64609e81
SHA256: d05ce5514e2ad57d7547f3448a943acbfdc4979d7465c97f758c98891b567a45
SHA512: 0038536ace4b53d9cbc199628a98ecd127b3f5bedd4c7e7d7a13e4189d0e7e36a21b0d8595bf844267720a0a1185672cf60a8879a1004faa469987be732563d5
Homepage: https://cran.r-project.org/package=fastqrs
Description: CRAN Package 'fastqrs' (Fast Algorithms for Quantile Regression with Selection)
 Fast estimation algorithms to implement the Quantile Regression with
 Selection estimator and the multiplicative Bootstrap for inference. This
 estimator can be used to estimate models that feature sample selection and
 heterogeneous effects in cross-sectional data. For more details, see
 Arellano and Bonhomme (2017) <doi:10.3982/ECTA14030> and Pereda-Fernández
 (2024) <doi:10.48550/arXiv.2402.16693>.

Package: r-cran-fastr2
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mosaic, r-cran-maxlik, r-cran-numderiv, r-cran-dplyr, r-cran-ggplot2, r-cran-lattice, r-cran-misctools
Suggests: r-cran-ggformula, r-cran-mosaiccalc, r-cran-tidyr, r-cran-readr, r-cran-mass, r-cran-faraway, r-cran-hmisc, r-cran-daag, r-cran-multcomp, r-cran-vcd, r-cran-car, r-cran-alr4, r-cran-corrgram, r-cran-bradleyterry2, r-cran-cubature, r-cran-knitr, r-cran-mosaicdata, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fastr2_1.2.4-1.ca2004.1_all.deb
Size: 1167168
MD5sum: 6124667c707a8fe348cd327048034e00
SHA1: 6c8c34128f796c8c1994250c67f1c56b2c572007
SHA256: 63a1c863ff13577d45e2b668c0901d8d6925501ad7f42388f811393fd05e773c
SHA512: 793c9283ff3df07c2d06ba98b2cf214dd3d4b521493ccfcbb5a3c5182304c1c9e696383ab43896006f9ac37045b8877226669c0ce7f9eba5c95066c61aa05278
Homepage: https://cran.r-project.org/package=fastR2
Description: CRAN Package 'fastR2' (Foundations and Applications of Statistics Using R (2nd Edition))
 Data sets and utilities to accompany the second edition of "Foundations and
 Applications of Statistics: an Introduction using R" (R Pruim, published by
 AMS, 2017), a text covering topics from probability and mathematical
 statistics at an advanced undergraduate level.  R is integrated throughout,
 and access to all the R code in the book is provided via the snippet()
 function.

Package: r-cran-fastrep
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-janitor, r-cran-kableextra, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fastrep_0.7-1.ca2004.1_all.deb
Size: 116632
MD5sum: b1bcad56b34d71f2ae2b17cf6c12849c
SHA1: 28ec3dff473d1c28645e35aa169479ddd437cc6b
SHA256: 28f1ef0786c541f748608e85dc1923193149aa82eb3dc51ad432498278da74ba
SHA512: cafa7da2644dad46f9ebf99f6d258846408088bcf19ee7693411e217e7bfbb4723cdbd6f3312d75c41eec43d2616de9542ac79f009176f49a1bb36655a47e702
Homepage: https://cran.r-project.org/package=fastrep
Description: CRAN Package 'fastrep' (Time-Saving Package for Creating Reports)
 Provides templates for reports in 'rmarkdown' and functions to create tables
 and summaries of data.

Package: r-cran-fastrerandomize
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2057
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fastrerandomize_0.2-1.ca2004.1_all.deb
Size: 2024388
MD5sum: 4d1eb70075781852ba3945adebfd9d7c
SHA1: 898697ee0ea5f57f1a211296d530df8bb229b7f9
SHA256: 6259defaf3d8b42b4f535a799d727767299c0e8a847c2c2a91de41fcd9520232
SHA512: efa51bd2261c2f6279740f57b9253aeada1987480a115cd577df652f3c303a3273bcc0a20d1890f8c6c733fb23e19407717d76a55f6859e0364b6ccbb62d05a2
Homepage: https://cran.r-project.org/package=fastrerandomize
Description: CRAN Package 'fastrerandomize' (Hardware-Accelerated Rerandomization for Improved Balance)
 Provides hardware-accelerated tools for performing rerandomization and
 randomization testing in experimental research. Using a 'JAX' backend, the
 package enables exact rerandomization inference even for large experiments
 with hundreds of billions of possible randomizations. Key functionalities
 include generating pools of acceptable rerandomizations based on covariate
 balance, conducting exact randomization tests, and performing pre-analysis
 evaluations to determine optimal rerandomization acceptance thresholds. The
 package supports various hardware acceleration frameworks including 'CPU',
 'CUDA', and 'METAL', making it versatile across accelerated computing
 environments. This allows researchers to efficiently implement stringent
 rerandomization designs and conduct valid inference even with large sample
 sizes. The package is partly based on Jerzak and Goldstein (2023)
 <doi:10.48550/arXiv.2310.00861>.

Package: r-cran-fastret
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3074
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-caret, r-cran-cluster, r-cran-data.table, r-cran-digest, r-cran-dt, r-cran-future, r-cran-ggplot2, r-cran-glmnet, r-cran-htmltools, r-cran-promises, r-cran-rcdk, r-cran-readxl, r-cran-shiny, r-cran-shinybusy, r-cran-shinyhelper, r-cran-shinyjs, r-cran-xgboost, r-cran-xlsx
Suggests: r-cran-cli, r-cran-devtools, r-cran-knitr, r-cran-languageserver, r-cran-lintr, r-cran-pkgdown, r-cran-pkgbuild, r-cran-pkgload, r-cran-rlang, r-cran-rmarkdown, r-cran-servr, r-cran-tibble, r-cran-testthat, r-cran-toscutil, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-fastret_1.1.4-1.ca2004.1_all.deb
Size: 3024312
MD5sum: ce804bf4a4819f3f715ded7e3857900f
SHA1: 52506dec4b023909ea410390e2252f4854e1829e
SHA256: fd62cb566a46072c77529d100366a6fb95d7b6f3d816a0d7fcdf9a3fc329549e
SHA512: 4cd2de4d1c22dfdc209ca29c7ced78e7f354a83147999b2c3943f83f76b707fca41656928d12dad8e1c4529f8cd7cacfdb09e4faaf3514058c498a3897ac0730
Homepage: https://cran.r-project.org/package=FastRet
Description: CRAN Package 'FastRet' (Retention Time Prediction in Liquid Chromatography)
 A framework for predicting retention times in liquid chromatography. Users
 can train custom models for specific chromatography columns, predict
 retention times using existing models, or adjust existing models to account
 for altered experimental conditions. The provided functionalities can be
 accessed either via the R console or via a graphical user interface. Related
 work: Bonini et al. (2020) <doi:10.1021/acs.analchem.9b05765>.

Package: r-cran-fastrg
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-dplyr, r-cran-ellipsis, r-cran-ggplot2, r-cran-glue, r-cran-igraph, r-cran-rspectra, r-cran-tibble, r-cran-tidygraph, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fastrg_0.3.2-1.ca2004.1_all.deb
Size: 297248
MD5sum: 300293a138429253fb30b9f5d45525e9
SHA1: f4083465f0bd8474428a53828ffeaf65d0fec109
SHA256: 1d8a27262f6bf499da54b2e0fb77984352e438183e0c7b230b2d0d34c1bb860c
SHA512: b1accc7199b8b213e46d2d337ce539fcdd5e9d58f7b450ce6ac3c3e6fd201630e0dc49d383585a98402a8f71b55b60c8bf0807727a128c028ab47ebd0b1731a4
Homepage: https://cran.r-project.org/package=fastRG
Description: CRAN Package 'fastRG' (Sample Generalized Random Dot Product Graphs in Linear Time)
 Samples generalized random product graphs, a generalization of a broad class
 of network models. Given matrices X, S, and Y with with non-negative
 entries, samples a matrix with expectation X S Y^T and independent Poisson
 or Bernoulli entries using the fastRG algorithm of Rohe et al. (2017)
 <https://www.jmlr.org/papers/v19/17-128.html>. The algorithm first samples
 the number of edges and then puts them down one-by-one.  As a result it is
 O(m) where m is the number of edges, a dramatic improvement over
 element-wise algorithms that which require O(n^2) operations to sample a
 random graph, where n is the number of nodes.

Package: r-cran-fastrhockey
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2091
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-progressr, r-cran-purrr, r-cran-rcpp, r-cran-rcppparallel, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-ggrepel, r-cran-qs, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringi, r-cran-testthat, r-cran-usethis, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-fastrhockey_0.4.0-1.ca2004.1_all.deb
Size: 2078660
MD5sum: a2db1635787c24997df0ad4eb310ca28
SHA1: 4accb678b17b22e5e2208a8e2f4be21f4c649e64
SHA256: 28710a60e36c0c793c6754103cf101eac7c7519da0d80e9601b7049563817d20
SHA512: b9379c52f042bc021015452dbe1e0731392e6160fed7ae48e134bafc244e781c745711a17e4fdf586fcb55c39a96aca45cbd84442a46d58dd86743b73c301e29
Homepage: https://cran.r-project.org/package=fastRhockey
Description: CRAN Package 'fastRhockey' (Functions to Access Premier Hockey Federation and NationalHockey League Play by Play Data)
 A utility to scrape and load play-by-play data and statistics from the
 Premier Hockey Federation (PHF) <https://www.premierhockeyfederation.com/>,
 formerly known as the National Women's Hockey League (NWHL). Additionally,
 allows access to the National Hockey League's stats API
 <https://www.nhl.com/>.

Package: r-cran-fastrmodels
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 16092
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-fastrmodels_2.0.0-1.ca2004.1_all.deb
Size: 16444532
MD5sum: 699318821dac5f768ca58496c0ffba64
SHA1: ff16c66c6c6ba6680921e92dedf8af7cc4867423
SHA256: 123dd56645e6891a0cdb56c08468b51a84b61450af4bfbc3fd2aa135a9ad91c2
SHA512: dda30256fb05c477428f76bdec7459e6d48c695c7002d66f2b3feec4ab781bbc91b5b8f4be5dbc9fd2355b4148645de07a94af4b3a09b934f3e04a65e4df9246
Homepage: https://cran.r-project.org/package=fastrmodels
Description: CRAN Package 'fastrmodels' (Models for the 'nflfastR' Package)
 A data package that hosts all models for the 'nflfastR' package.

Package: r-cran-faststepgraph
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-faststepgraph_0.1.1-1.ca2004.1_all.deb
Size: 328736
MD5sum: 8aada17d9d9c6ec521feb04801ededed
SHA1: f18bd53e863fc095575a750e698de845b7d17199
SHA256: cecb31f4709d36808b7d7442b9ec67837b0b2860589a52ce99438ac7ac3970c5
SHA512: b32627638ce588152c1e546b05c305b1669035de794f5b38cd8019abd472498653a510a8088fea7fdcda32ee299b8a3b79a87bb71c5f6f1aab393274112b3a7d
Homepage: https://cran.r-project.org/package=FastStepGraph
Description: CRAN Package 'FastStepGraph' (A Fast Algorithm for Sparse Precision Matrix Estimation)
 It implements an improved and computationally faster version of the original
 Stepwise Gaussian Graphical Algorithm for estimating the Omega precision
 matrix from high-dimensional data.  Zamar, R., Ruiz, M., Lafit, G. and
 Nogales, J. (2021) <doi:10.52933/jdssv.v1i2.11>.

Package: r-cran-fastts
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ncvreg, r-cran-rcpproll, r-cran-rlang, r-cran-yardstick
Suggests: r-cran-covr, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-fastts_1.0.2-1.ca2004.1_all.deb
Size: 393224
MD5sum: b6e9fd9fe502bd928052626d71d7436b
SHA1: 85fd1682b9bc86c0a326af47743bfa4fb50c268e
SHA256: ccf15417786522928727f19438499572bc699ba533a0ffb0735e5a78470eaa1c
SHA512: 28848309cdda88aa1bfc13f8991c4288b3b3d510de9684ff73af636cb880bad7d63d28566e1e3ed42a4006cb552be3de9f7ea7af8481a11e314d147e3a47be06
Homepage: https://cran.r-project.org/package=fastTS
Description: CRAN Package 'fastTS' (Fast Time Series Modeling for Seasonal Series with ExogenousVariables)
 An implementation of sparsity-ranked lasso and related methods for time
 series data. This methodology is especially useful for large time series
 with exogenous features and/or complex seasonality. Originally described in
 Peterson and Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the
 context of variable selection with interactions and/or polynomials, ranked
 sparsity is a philosophy with methods useful for variable selection in the
 presence of prior informational asymmetry. This situation exists for time
 series data with complex seasonality, as shown in Peterson and Cavanaugh
 (2024) <doi:10.1177/1471082X231225307>, which also describes this package in
 greater detail. The sparsity-ranked penalization methods for time series
 implemented in 'fastTS' can fit large/complex/high-frequency time series
 quickly, even with a high-dimensional exogenous feature set. The method is
 considerably faster than its competitors, while often producing more
 accurate predictions. Also included is a long hourly series of arrivals into
 the University of Iowa Emergency Department with concurrent local
 temperature.

Package: r-cran-fastverse
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-collapse, r-cran-kit, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fastverse_0.3.4-1.ca2004.1_all.deb
Size: 105472
MD5sum: d4c7dbecb0d34b16ae290739947aec24
SHA1: f7e169862d654af691d935747aeaf3a39e194dc4
SHA256: 485cb184c315fa41716d7e3646377e9fcc2648a0b1285d61a7883e15d4da9f2e
SHA512: c472f80b7ed1980c01ee4a4a9fcd4589b6d1097f725ca3f24a07ab20419a578e396059fe9253819fe27ae9d052f0ac1bb74ae8850a3e04e1c845a9e113b4da88
Homepage: https://cran.r-project.org/package=fastverse
Description: CRAN Package 'fastverse' (A Suite of High-Performance Packages for Statistics and DataManipulation)
 Easy installation, loading and management, of high-performance packages for
 statistical computing and data manipulation in R.  The core 'fastverse'
 consists of 4 packages: 'data.table', 'collapse', 'kit' and 'magrittr', that
 jointly only depend on 'Rcpp'.  The 'fastverse' can be freely and
 permanently extended with additional packages, both globally or for
 individual projects.  Separate package verses can also be created. Fast
 packages for many common tasks such as time series, dates and times,
 strings, spatial data, statistics, data serialization, larger-than-memory
 processing, and compilation of R code are listed in the README file:
 <https://github.com/fastverse/fastverse#suggested-extensions>.

Package: r-cran-fat2lpoly
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1400
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kinship2, r-cran-multgee
Filename: pool/dists/focal/main/r-cran-fat2lpoly_1.2.5-1.ca2004.1_all.deb
Size: 407908
MD5sum: 25258b43d06693dbb7e08dab6ace8c59
SHA1: 1c25a157ea657c68d235f0fd025918df2496aa83
SHA256: 7130f90f297ba02bb8da3d614abebcbaae8bb4f7fd341f490b1f973b46ef1ba0
SHA512: d9607115dbd26bc4f8ac22e1353f9e7ff70e16fda9d6e2421f089c9cd0a9b68805d73eab7a479bf1f18775688a3236e3c4c70495f1ed9ec90c698e6952a925fc
Homepage: https://cran.r-project.org/package=fat2Lpoly
Description: CRAN Package 'fat2Lpoly' (Two-Locus Family-Based Association Test with Polytomous Outcome)
 Performs family-based association tests with a polytomous outcome under
 2-locus and 1-locus models defined by some design matrix.

Package: r-cran-fateid
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4888
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-locfit, r-cran-matrixstats, r-cran-pheatmap, r-cran-princurve, r-cran-randomforest, r-cran-rcolorbrewer, r-cran-rtsne, r-cran-som, r-cran-umap
Suggests: r-bioc-deseq2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fateid_0.2.2-1.ca2004.1_all.deb
Size: 2930048
MD5sum: f6065354182407a64b67987d91c7ecfa
SHA1: 69ca5cc6fac58624ff79c62617ff3df8b94ab4e5
SHA256: 9e66ce3ed21a3fcf328b70606a1381b8a6e1e8e21963cc966732b317c10e790d
SHA512: 5839e9e0bee4d57b2b356e6950423676b04c6b7c306337efcf8cffba2ccf2fc28f0d198dae661d7cc3bd403ddf238b3452c60a54251b0470da88090b37f2cb95
Homepage: https://cran.r-project.org/package=FateID
Description: CRAN Package 'FateID' (Quantification of Fate Bias in Multipotent Progenitors)
 Application of 'FateID' allows computation and visualization of cell fate
 bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar,
 Grün D. (2018) <DOI:10.1038/nmeth.4662>.

Package: r-cran-fattailsr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm, r-cran-timeseries
Suggests: r-cran-zoo, r-cran-xts
Filename: pool/dists/focal/main/r-cran-fattailsr_2.0.0-1.ca2004.1_all.deb
Size: 2355340
MD5sum: 5bc99f68699bd3b9f25cdcfed40efe73
SHA1: 36dbf5d5cefa76416170505425c8b8625ab8dcad
SHA256: b8bcd82d0c106cba9b9ffa808ceb6e870085b433877ac36849f7f88d96d7eb11
SHA512: c49f36e4bae09158da6151fdb44f45d867cad276e5f8a55ee18790bcb1d3311e71c0ddee672401db996e3e690782fb79e5a147c5320d77987594bddcd282a634
Homepage: https://cran.r-project.org/package=FatTailsR
Description: CRAN Package 'FatTailsR' (Kiener Distributions and Fat Tails in Finance and Neuroscience)
 Kiener distributions K1, K2, K3, K4 and K7 to characterize distributions
 with left and right, symmetric or asymmetric fat tails in finance,
 neuroscience and other disciplines. Two algorithms to estimate the
 distribution parameters, quantiles, value-at-risk and expected shortfall.
 IMPORTANT: Standardization has been changed in versions >= 2.0.0 to get sd =
 1 when kappa = Inf rather than 2*pi/sqrt(3) in versions <= 1.8.6.  This
 affects parameter g (other parameters stay unchanged). Do not update if you
 need consistent comparisons with previous results for the g parameter.

Package: r-cran-faux
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-dplyr, r-cran-ggplot2, r-cran-jsonlite, r-cran-truncnorm, r-cran-rlang
Suggests: r-cran-testthat, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-cowplot, r-cran-ggextra, r-cran-purrr, r-cran-broom, r-cran-broom.mixed, r-cran-psych, r-cran-lmertest, r-cran-kableextra, r-cran-glue, r-cran-openssl, r-cran-readr, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-faux_1.2.2-1.ca2004.1_all.deb
Size: 945220
MD5sum: a7ddc77301d63542b041f6ff70ca23f2
SHA1: e793e32de74d55af2aefa236b4dd374edcc30b21
SHA256: 2c7c045d236e34777ec61ccc5748c1cac785a0a949b2756373888e0c294bf10d
SHA512: ee97618bbebdd3d064666cba10698cef5b484d25e832dff192a4fe8d00566aad99180220ab0a50eb665a9c2bb330193d0b5d32a348b7fa082291a3c63c395a2e
Homepage: https://cran.r-project.org/package=faux
Description: CRAN Package 'faux' (Simulation for Factorial Designs)
 Create datasets with factorial structure through simulation by specifying
 variable parameters. Extended documentation at
 <https://debruine.github.io/faux/>. Described in DeBruine (2020)
 <doi:10.5281/zenodo.2669586>.

Package: r-cran-fauxnaif
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-rlang
Suggests: r-cran-covr, r-cran-dplyr, r-cran-haven, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-withr
Filename: pool/dists/focal/main/r-cran-fauxnaif_0.7.1-1.ca2004.1_all.deb
Size: 98128
MD5sum: 917782baa6950b534cd90af05878a2fc
SHA1: 52965ca30fc37250b117eeffc97c1c7dfb5dd6f9
SHA256: a2ddbb5f0cfdd1ed7dde6cdeda67dd6235ec0dca4c53fe2cb4aeb26e71c4f80f
SHA512: 47c81be296bbff9008c642a00e44c427da5bcdc2a45020438dc99e787832a2bdbde1de3e40145b0a725333cabdd396164754953dab578d1d69b8965cd932cb5f
Homepage: https://cran.r-project.org/package=fauxnaif
Description: CRAN Package 'fauxnaif' (Convert Values to NA)
 Provides a replacement for dplyr::na_if().  Allows you to specify multiple
 values to be replaced with NA using a single function.

Package: r-cran-fauxpas
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3743
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-httpcode, r-cran-whisker
Suggests: r-cran-crul, r-cran-curl, r-cran-httr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fauxpas_0.5.2-1.ca2004.1_all.deb
Size: 1266492
MD5sum: 4a9a56bdf13edef2285ecab9f8e29cf9
SHA1: a9c6a17aa8ca848b1536e723457ce9f921060266
SHA256: 2f77ce75a795af24b87b8492876c4b16c87a4f73fe9f115653a1dd5b13cc8bcb
SHA512: 3681322b30242a90accbb95292fcb174adacf1fcd0766a20f416d34257e7dcb4858a7c0119f2605ab2fade937577b9c9276ad3ba32304e85b0715147609027e4
Homepage: https://cran.r-project.org/package=fauxpas
Description: CRAN Package 'fauxpas' (HTTP Error Helpers)
 HTTP error helpers. Methods included for general purpose HTTP error
 handling, as well as individual methods for every HTTP status code, both via
 status code numbers as well as their descriptive names.  Supports ability to
 adjust behavior to stop, message or warning.  Includes ability to use custom
 whisker template to have any configuration of status code, short
 description, and verbose message. Currently supports integration with
 'crul', 'curl', and 'httr'.

Package: r-cran-fava
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2907
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-patchwork, r-cran-rmarkdown, r-cran-viridis, r-cran-kableextra, r-cran-purrr, r-cran-ape, r-cran-gridextra, r-bioc-phyloseq, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fava_1.0.9-1.ca2004.1_all.deb
Size: 2785292
MD5sum: 44a0a4f6e2fa3b3c29bfb7ca55f444cb
SHA1: aaca7e5be3ce10d5cd7949328920919a9d4fe6f2
SHA256: d8531fef1e51f570d8215e8c9e6ee25fefe7b530fb61ea6ccc53224bcf12dfe5
SHA512: 78b8af09809497dde61166e11d33fceac31b3405350e3d4b78c7cd1654290eae8e9d1586faafcd52bbc60133677564c1a1da28a7e20d4e12f3e5f9b0802876e3
Homepage: https://cran.r-project.org/package=FAVA
Description: CRAN Package 'FAVA' (Quantify Compositional Variability Across Relative AbundanceVectors)
 Implements the statistic FAVA, an Fst-based Assessment of Variability across
 vectors of relative Abundances, as well as a suite of helper functions which
 enable the visualization and statistical analysis of relative abundance
 data. The 'FAVA' R package accompanies the paper, “Quantifying compositional
 variability in microbial communities with FAVA” by Morrison, Xue, and
 Rosenberg (2025) <doi:10.1073/pnas.2413211122>.

Package: r-cran-favar
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-bvartools, r-cran-foreach, r-cran-magrittr, r-cran-mcmcpack, r-cran-coda, r-cran-dplyr, r-cran-doparallel, r-cran-matrix
Suggests: r-cran-testthat, r-cran-vars, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-favar_0.1.3-1.ca2004.1_all.deb
Size: 243080
MD5sum: 52be6aaf3d194a1b0b353c7a5e26811f
SHA1: c4069e5109d762a0a1a438b4bb4ddc58f552c46b
SHA256: 2207253fd115d0c7ba586f8b0e88117a86c5092941eaaa517a645bbc0b21f900
SHA512: 8eea6f20abce6f8ebc48e23d8ff49392ef65de29d6322fced0f16c96333a5c53e6f9ac0c295cf79f43e57a7284f3d4dcab2c4130cd5dd86c94a9b1c7d7638b65
Homepage: https://cran.r-project.org/package=FAVAR
Description: CRAN Package 'FAVAR' (Bayesian Analysis of a FAVAR Model)
 Estimate a FAVAR model by a Bayesian method, based on Bernanke et al. (2005)
 <DOI:10.1162/0033553053327452>.

Package: r-cran-favawesome
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-jsonlite, r-cran-rlang, r-cran-rsvg
Suggests: r-cran-cli, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-favawesome_0.1.1-1.ca2004.1_all.deb
Size: 92708
MD5sum: 7cce2d9c073952c064f150f356b1d612
SHA1: fec67517a187894873caad1a4735de687f63e2dc
SHA256: b09cd11d1a7b045d288c25819a94bea4de729ac1b2511200976fae102e7cbbba
SHA512: 1ecfd29b59a4d6a0a6a23cec5ef54a6fab3102088daf2a3dd51187a05ab0a474e465ba5693a84e1962c4fca1db0a57ecfc9e2550162dcaa246b5324f1f9d3230
Homepage: https://cran.r-project.org/package=favawesome
Description: CRAN Package 'favawesome' ('Font Awesome' Icons as 'shiny' 'favicons')
 Easily use 'Font Awesome' icons as 'shiny' 'favicons' (the icons that appear
 on browser tabs).  'Font Awesome' (<https://fontawesome.com/>) is a popular
 set of icons that can be used in web pages.  'favawesome' provides a simple
 way to use these icons as 'favicons' in 'shiny' applications and other HTML
 pages.

Package: r-cran-faviconplease
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml2
Suggests: r-cran-httr, r-cran-tinytest, r-cran-ttdo
Filename: pool/dists/focal/main/r-cran-faviconplease_0.1.4-1.ca2004.1_all.deb
Size: 29960
MD5sum: f0662d8ad079d82ee2bd1ce683ef45be
SHA1: 2e75e0940c2d771983cdde87b73ec770861f98a8
SHA256: 70fc3165005ee945a01a0ed3722cd5571b7c3034e5d7a4e88bf826d4e599cc8c
SHA512: 4be0b230774acef8fdf0f9e249a39c808728dc67503f1171ae054053a559dbd0d5bf0767c3e558960f7a92a9d1af487b0c0d62c522039d60df2eae28ea1b9b58
Homepage: https://cran.r-project.org/package=faviconPlease
Description: CRAN Package 'faviconPlease' (Find the URL to the 'Favicon' for a Website)
 Finds the URL to the 'favicon' for a website. This is useful if you want to
 display the 'favicon' in an HTML document or web application, especially if
 the website is behind a firewall.

Package: r-cran-favnums
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-favnums_1.0.0-1.ca2004.1_all.deb
Size: 15632
MD5sum: 1876e5c552faf1f9dbbfda3da25b75ae
SHA1: 16e0ecf322067c2c5b947b4be5fd2de05d9783b3
SHA256: 2c8fd36d03e248e5d05828d02113a812c6cf2e279991ef8e594fe5dab52935e0
SHA512: 622a58fc638b1e58423e9df2ad47d75fbce08139f1b9b0d15bb8efaf4fa4b56f1adebc42af43519b1041f08646b51a586c3b2284aa5bc5c7f77755d9fa65c866
Homepage: https://cran.r-project.org/package=favnums
Description: CRAN Package 'favnums' (A Dataset of Favourite Numbers)
 A dataset of favourite numbers, selected from an online poll of over 30,000
 people by Alex Bellos (http://pages.bloomsbury.com/favouritenumber).

Package: r-cran-fawr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3770
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-fawr_1.2.0-1.ca2004.1_all.deb
Size: 747380
MD5sum: 1660c02076f61c77ae49c0f0a0a5a1ed
SHA1: 819a9d7821a67a835647a292e232229dae44f203
SHA256: 300f7325bb4c48987efbf39794151f2356a5f891b6b14bed4482ebad083fb7d9
SHA512: 1a2fae8ecf0e69ea456e57ffc9023ab19e2212e64a4fdd208a3f7edf3281caad35209dee1d3b9e8e82e8d0b68ec65273eafc81e6990dc310ef228bae7adbdf46
Homepage: https://cran.r-project.org/package=FAwR
Description: CRAN Package 'FAwR' (Functions and Datasets for "Forest Analytics with R")
 Provides functions and datasets from the book "Forest Analytics with R".

Package: r-cran-fbar
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 663
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-rlang, r-cran-roi, r-cran-roi.plugin.ecos, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-jsonlite, r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fbar_0.6.0-1.ca2004.1_all.deb
Size: 218048
MD5sum: ff9b78e64ee1f6fbff057175f479d7cc
SHA1: 43927e9600f48051d1f4ad06d109bdab4e42cf9b
SHA256: e697569451fc90e10eb9913328bca062b0553952478af8e5984b21a9969a6cf4
SHA512: 3a37da008684706cba6dda57b77cd47816b60c37ba0018ce51b9d48dbc30e03f79cf4dfbf850c42c60e58bb7e5054ec5ba103c5be881f72e0ca3cee83bc23b28
Homepage: https://cran.r-project.org/package=fbar
Description: CRAN Package 'fbar' (An Extensible Approach to Flux Balance Analysis)
 A toolkit for Flux Balance Analysis and related metabolic modeling
 techniques. Functions are provided for: parsing models in tabular format,
 converting parsed metabolic models to input formats for common linear
 programming solvers, and evaluating and applying gene-protein-reaction
 mappings. In addition, there are wrappers to parse a model, select a solver,
 find the metabolic fluxes, and return the results applied to the original
 model. Compared to other packages in this field, this package puts a much
 heavier focus on providing reusable components that can be used in the
 design of new implementation of new techniques, in particular those that
 involve large parameter sweeps. For a background on the theory, see What is
 Flux Balance Analysis <doi:10.1038/nbt.1614>.

Package: r-cran-fbglm
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-frbinom, r-cran-pscl, r-cran-agridat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fbglm_1.5.0-1.ca2004.1_all.deb
Size: 29644
MD5sum: 24e07d5301938c9f73057c686346d089
SHA1: 2115534b8c61d9f60f4a68e70d34e5760f7ece24
SHA256: ca12ea755f8408e16ebba60babf70b3bf152ba7ba0781f39e8111bad31e6a962
SHA512: a137b3c6156def7f1a1394efae744a705a2bba7deb3a6f735575dcdb88592198944ccf6936bd78f89caad10ad7fed74b3c23e3a0265a49f6e6d9843b26a482f4
Homepage: https://cran.r-project.org/package=fbglm
Description: CRAN Package 'fbglm' (Fractional Binomial Regression Model)
 Fit a fractional binomial regression model and extended zero-inflated
 negative binomial regression model to count data with excess zeros using
 maximum likelihood estimation.  Compare zero-inflated regression models via
 Vuong closeness test.

Package: r-cran-fbn
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fbn_1.5.2-1.ca2004.1_all.deb
Size: 1378020
MD5sum: fc1a70a976198ccde0c0eb983dd84ee8
SHA1: 1b640e38ff5abb34bd8b8eb7dad8b24dee81bdf8
SHA256: 0c7e0e90174e30ab39a71aecea80fb198fd4e6d9407570b0c45e833b7c7a1405
SHA512: d6cd1be3fa8f41310fafc775aede04907eac9e99b6b256e4037b13b60d349efc121bb8dc241205772d6e1e0e685b1b10cca4ccd4bf50c92226f82f76f12d4b46
Homepage: https://cran.r-project.org/package=FBN
Description: CRAN Package 'FBN' (FISH Based Normalization and Copy Number Inference of SNPMicroarray Data)
 Normalizes the data from a file containing the raw values of the SNP probes
 of microarray data by using the FISH probes and their corresponding copy
 number.

Package: r-cran-fbnet
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-fbnet_1.0.4-1.ca2004.1_all.deb
Size: 280272
MD5sum: d523bf5de964bc38fe929c1e295ed12a
SHA1: 7adc4d1cba21b726485b6c80fcfdbc72a86c6513
SHA256: 6ed46d7b61ca458b43334b3930534383d1ecc010a71979950bd90137091de613
SHA512: 0177e7c3e222c1247f1bcf9280ecb21a76e9881930e67fd46ff1e8b0df8fc5af69cbca2185a6e75ff36a07a69868f11672d975ababf06a7cdf93dac3e3d8f9db
Homepage: https://cran.r-project.org/package=fbnet
Description: CRAN Package 'fbnet' (Forensic Bayesian Networks)
 Open-source package for computing likelihood ratios in kinship testing and
 human identification cases. It has the core function of the software GENis,
 developed by Fundación Sadosky. It relies on a Bayesian Networks framework
 and is particularly well suited to efficiently perform large-size queries
 against databases of missing individuals.

Package: r-cran-fbonds
Architecture: all
Version: 3042.78-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-fbonds_3042.78-1.ca2004.1_all.deb
Size: 36780
MD5sum: b49e34d1489510215bb2a083c60c29bf
SHA1: 83452ee17d9af703ec0b34ba24ed00dc3eb59dbe
SHA256: 9f57719a6ec195d779a357db4de7de514dec578cfff5b94c760d157227e53f6e
SHA512: 77fb6a5283caedb61694903c14c1f3e72377ad1af209fd73cc5dbfd217db6d382fe269e415eb9529a1b7b2b81a50f0344698b8a05efa5dfef3bdb24fdc52b8f7
Homepage: https://cran.r-project.org/package=fBonds
Description: CRAN Package 'fBonds' (Rmetrics - Pricing and Evaluating Bonds)
 It implements the Nelson-Siegel and the Nelson-Siegel-Svensson term
 structures.

Package: r-cran-fbrads
Architecture: all
Version: 17.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcurl, r-cran-jsonlite, r-cran-digest, r-cran-logger, r-cran-bit64, r-cran-plyr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-fbrads_17.0.0-1.ca2004.1_all.deb
Size: 166956
MD5sum: 4a7af5b2e163b30610d48fc962a569ba
SHA1: 1ff929d51e584e78d2520d563a2734a3d784b700
SHA256: 5baf7762e50ac2c44b1974c4a905ee8c90ad27c22033a3c3b3e048585b12e684
SHA512: a1dd1f9cd7a0144c678134967e5c67fa0cd5113d5f8c11a75b40760a2cfe269dc8d820438310a3b57f9c15e7aad0b0896f6d7d7b2d803f9c402b124850065cb1
Homepage: https://cran.r-project.org/package=fbRads
Description: CRAN Package 'fbRads' (Analyzing and Managing Facebook Ads from R)
 Wrapper functions around the Facebook Marketing 'API' to create, read,
 update and delete custom audiences, images, campaigns, ad sets, ads and
 related content.

Package: r-cran-fbranks
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 582
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-stringr
Suggests: r-cran-rjsonio, r-cran-rcurl, r-cran-httr, r-cran-xml, r-cran-rlab, r-cran-xtable, r-cran-speedglm, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-fbranks_2.0-1.ca2004.1_all.deb
Size: 509136
MD5sum: f91af25bf4641f0dedf3c2e8b7c113fd
SHA1: 9c9f5d68f08c729f7e367b771d68bcc8c5f4ad17
SHA256: 169e5b4d6641c3f5900479e02b5aafd4c82cbde171206a3aaa5ac21072e4d221
SHA512: 71a270feddde358d5fc535004f15e15a51c2e856d23d655354b766f2da9fbc8457ed2d3f34b9382d3a1ffc26b27d933d765b0951a122edc0910738230784f060
Homepage: https://cran.r-project.org/package=fbRanks
Description: CRAN Package 'fbRanks' (Association Football (Soccer) Ranking via Poisson Regression)
 This package uses time dependent Poisson regression and a record of goals
 scored in matches to rank teams via estimated attack and defense strengths.
 The statistical model is based on Dixon and Coles (1997) Modeling
 Association Football Scores and Inefficiencies in the Football Betting
 Market, Applied Statistics, Volume 46, Issue 2, 265-280.  The package has a
 some webscrapers to assist in the development and updating of a match
 database.  If the match database contains unconnected clusters (i.e. sets of
 teams that have only played each other and not played teams from other
 sets), each cluster is ranked separately relative to the median team
 strength in the cluster.  The package contains functions for predicting and
 simulating tournaments and leagues from estimated models. The package allows
 fitting via the glm(), speedglm(), and glmnet() functions.  The latter
 allows fast and efficient fitting of very large numbers of teams.  The
 fitting algorithm will analyze the match data and determine which teams form
 a cluster (a set of teams where there is a path of matches connecting every
 team) and fit each cluster separately.

Package: r-cran-fbst
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2805
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cubature, r-cran-ks, r-cran-viridis, r-cran-rstanarm, r-cran-bayestestr
Suggests: r-cran-bayesfactor, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fbst_2.2-1.ca2004.1_all.deb
Size: 1546812
MD5sum: ba0013b1e95aea491122849274847746
SHA1: 7265e0f9c20b67e494dc21700f95c6e5680c3fb5
SHA256: c5c0a6f73fcbf6233ac5c3fe903ddddace15182b614a39b1207eb033f3f1768b
SHA512: 9109e4c3e2bf77d6c3e22c1ce0f901beaa1671d5391dbbcbf63085d78ccd7d7f8044899dd0ed3c84c045ad90493cbda09197a91bf609fb4c4d4467939124f09f
Homepage: https://cran.r-project.org/package=fbst
Description: CRAN Package 'fbst' (The Full Bayesian Evidence Test, Full Bayesian Significance Testand the e-Value)
 Provides access to a range of functions for computing and visualizing the
 Full Bayesian Significance Test (FBST) and the e-value for testing a sharp
 hypothesis against its alternative, and the Full Bayesian Evidence Test
 (FBET) and the (generalized) Bayesian evidence value for testing a composite
 (or interval) hypothesis against its alternative. The methods are widely
 applicable as long as a posterior MCMC sample is available.

Package: r-cran-fc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-codetools
Suggests: r-cran-magrittr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-fc_0.1.0-1.ca2004.1_all.deb
Size: 23828
MD5sum: 6c4f5fbff483cc3a9f21415472e7ab9e
SHA1: 761392a6fa44c74f051d8ab7e26646066dc45a09
SHA256: d3006b3f6035a18eab6976fb456d9cbcd907d7360b79efc43dcf603e4dcbe35a
SHA512: e2cf247959aa657c2c2f657cd5774bef88b7ee7d6bb09cc67c42bcc21cf201915df71888ac1250ed55c8c77a0e0a9e26ba7544350ced81478506aba950dce960
Homepage: https://cran.r-project.org/package=fc
Description: CRAN Package 'fc' (Standard Evaluation-Based Multivariate Function Composition)
 Provides a streamlined, standard evaluation-based approach to multivariate
 function composition. Allows for chaining commands via a forward-pipe
 operator, %>%.

Package: r-cran-fca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fca_0.1.0-1.ca2004.1_all.deb
Size: 27568
MD5sum: e9aee26c74781bc41fe680b7db302dd4
SHA1: 29fc4eb033019b7f1cf15177c30cd58604daea51
SHA256: 0d80c9459445b55d7708dec5d2162d2b4d71dc03980433b57ce73f07f20711df
SHA512: 545e5dcb49d7924c4d96969cda3d926b53c59ce2fee6ede6a5ae8468ffb69c366ad21befe92709ab26081f3ae7456a661d1c0df39769865ffcb362b863a46d46
Homepage: https://cran.r-project.org/package=fca
Description: CRAN Package 'fca' (Floating Catchment Area (FCA) Methods to Calculate SpatialAccessibility)
 Perform various floating catchment area methods to calculate a spatial
 accessibility index (SPAI) for demand point data. The distance matrix used
 for weighting is normalized in a preprocessing step using common functions
 (gaussian, gravity, exponential or logistic).

Package: r-cran-fcd
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-fcd_0.1-1.ca2004.1_all.deb
Size: 51320
MD5sum: c2e16442a85383e8869311613c9c017f
SHA1: b006c754f7b72ffe224fe54145a38d475e0cced9
SHA256: 6c25a64f3a63d9cdb70f932a86c934dc32402903302e42ea9f20c9707b1a4536
SHA512: e6f7ec7a7e618f98645731c4bf530389395148b5db2df649dd46d822b08471a556cd8125ac52068af139893db2c75dab42b7ddecc2eeb470e63be8414bc7d029
Homepage: https://cran.r-project.org/package=fcd
Description: CRAN Package 'fcd' (Fused Community Detection)
 Efficient procedures for community detection in network studies, especially
 for sparse networks with not very obvious community structure. The
 algorithms impose penalties on the differences of the coordinates which
 represent the community labels of the nodes.

Package: r-cran-fcertificates
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fbasics, r-cran-foptions, r-cran-fexoticoptions
Filename: pool/dists/focal/main/r-cran-fcertificates_0.5-4-1.ca2004.1_all.deb
Size: 344000
MD5sum: 804d1b4dfa3211545e7a9455191985d1
SHA1: 37ca95f5233da0f78f911a7a1dbc2f9f3dd678d0
SHA256: 86348159c9608e35c2543f4ba4d61baa0d1030a167bca9808f786e41f2ee1b49
SHA512: cd49265d203823607138eeca2ebad6258e03ab76fd54f0aeef6ee23dfd635141fa7ef4d1f800941f26bcc0c9c76e96ec6c40b2011f3a917c21970ae3513413cf
Homepage: https://cran.r-project.org/package=fCertificates
Description: CRAN Package 'fCertificates' (Basics of Certificates and Structured Products Valuation)
 Collection of pricing by duplication methods for popular structured products
 ("Zertifikate").

Package: r-cran-fcfdr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-locfdr, r-cran-mass, r-cran-ggplot2, r-cran-cowplot, r-cran-fields, r-cran-dplyr, r-cran-spatstat.geom, r-cran-polycub, r-cran-hexbin, r-cran-bigsplines, r-cran-data.table, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-digest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fcfdr_1.0.0-1.ca2004.1_all.deb
Size: 3123156
MD5sum: 17f4dc3aa33e63897b49603aaf161de4
SHA1: d4d1a38dff9ad5dfbff5a297eb71737a5419d104
SHA256: 3fb7078b63d9d9aeb506ab681c59f786c8be84799a1c8d1c50fe59d80b192e37
SHA512: c92d673f8ce995af79b8ba92f3e5205dd179acf7360ee787de205cb9a56360478636ed48c6e18199b42412543d08424acd66b54129a3e7cbc05f132efaf9c7d9
Homepage: https://cran.r-project.org/package=fcfdr
Description: CRAN Package 'fcfdr' (Flexible cFDR)
 Provides functions to implement the Flexible cFDR (Hutchinson et al. (2021)
 <doi:10.1371/journal.pgen.1009853>) and Binary cFDR (Hutchinson et al.
 (2021) <doi:10.1101/2021.10.21.465274>) methodologies to leverage auxiliary
 data from arbitrary distributions, for example functional genomic data, with
 GWAS p-values to generate re-weighted p-values.

Package: r-cran-fcgr
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-kerdiest, r-cran-nlme, r-cran-mass, r-cran-mgcv, r-cran-pspline, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-fcgr_1.0-0-1.ca2004.1_all.deb
Size: 84544
MD5sum: 2c4f020937f09b0e0554ddf3f473c24c
SHA1: e248dd1c798d2cf60916a57941033581df80e7a7
SHA256: 901743a55f52fb203308019658fed52d61c889854a3b5ef18e3e31b4225824ac
SHA512: 5b21fe6b28567e4dd82c6c5fb2bb2335f5a2a4febc58dd8dbb19fb5b2f28d3ae57879c497dd0e40b67b91d26d43e754528cc747cc68b56de924c8f0c4bdae30c
Homepage: https://cran.r-project.org/package=FCGR
Description: CRAN Package 'FCGR' (Fatigue Crack Growth in Reliability)
 Fatigue Crack Growth in Reliability estimates the distribution of material
 lifetime due to mechanical fatigue efforts. The FCGR package provides
 simultaneous crack growth curves fitting to different specimens in materials
 under mechanical stress efforts.  Linear mixed-effects models (LME) with
 smoothing B-Splines and the linearized Paris-Erdogan law are applied. Once
 defined the fail for a determined crack length, the distribution function of
 failure times to fatigue is obtained. The density function is estimated by
 applying nonparametric binned kernel density estimate (bkde) and the kernel
 estimator of the distribution function (kde).  The results of Pinheiro and
 Bates method based on nonlinear mixed-effects regression (nlme) can be also
 retrieved. The package contains the crack.growth, PLOT.cg, IB.F, and Alea.A
 (database) functions.

Package: r-cran-fcircsec
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 682
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-seqrflp, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-fcircsec_1.0.0-1.ca2004.1_all.deb
Size: 661404
MD5sum: ab37ed06d6494cbd19ce0097697f0743
SHA1: 4d62b2c1e037a18db309274db53c8887676d1118
SHA256: d512462a931f433973066d8c112f8a1cc5da2618e87fedebb428066e38b6e878
SHA512: fa778e36c85d085476b549359102f8818d2343d1cb36a0c750daf332715a1aa66c164cc58480b8e7cf4d3689c038c8419233ea091ecf0863b641998f3495a164
Homepage: https://cran.r-project.org/package=FcircSEC
Description: CRAN Package 'FcircSEC' (Full Length Circular RNA Sequence Extraction and Classification)
 Extract full length circular RNA sequences and classify circular RNA using
 the output of circular RNA prediction tools, reference genome and the
 annotation file corresponding to the reference genome.  This package uses
 the output of circular RNA prediction tools such as 'CIRI', 'CIRCExplorer'
 and the output of other state-of-the-art circular RNA prediction tools.
 Details about the circular RNA prediction procedure can be found in 'Yuan
 Gao, Jinfeng Wang and Fangqing Zhao' (2015) <doi:10.1186/s13059-014-0571-3>
 and 'Zhang XO, Wang HB, Zhang Y, Lu X, Chen LL and Yang L' (2014)
 <doi:10.1016/j.cell.2014.09.001>.

Package: r-cran-fcm
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fcm_0.1.3-1.ca2004.1_all.deb
Size: 45624
MD5sum: f0532c71f6132766708fd9309b656100
SHA1: 6fbc22e67e4a4169e543e129cb301c96aff75dce
SHA256: d793f511e0d0931d435aaad98657879a6b12f7dcf1d90b3e510cc8ef9b2881d7
SHA512: 8c413a2adb97af451041f37c831b48d1bfd46068b64567d6a460c20d5ef7e85c16fef07a748ff7fab6cd2ab26a5aa920e73c4728925003bf379daf6dd8064d7a
Homepage: https://cran.r-project.org/package=fcm
Description: CRAN Package 'fcm' (Inference of Fuzzy Cognitive Maps (FCMs))
 Provides a selection of 3 different inference rules (including additionally
 the clamped types of the referred inference rules) and 4 threshold functions
 in order to obtain the inference of the FCM (Fuzzy Cognitive Map). Moreover,
 the 'fcm' package returns a data frame of the concepts' values of each state
 after the inference procedure. Fuzzy cognitive maps were introduced by Kosko
 (1986) <doi:10.1002/int.4550010405> providing ideal causal cognition tools
 for modeling and simulating dynamic systems.

Package: r-cran-fcmapper
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-fcmapper_1.1-1.ca2004.1_all.deb
Size: 45480
MD5sum: e5491ca6e93e3a2082e92a0883f182ca
SHA1: d6d337c5e48d13e858e03fb74d732a8a9664dbf4
SHA256: d8afd71097ec9eeeba80c8f2bd015c17de341ee770c1d108eb831ba9846bddd7
SHA512: 74c2b5b9f886a001e222dbf16eb21c0a617fdea8528100ea0cf3684cdf9e22a212e7913fb37f3af914c78531f0a0152057da7513565cb41b08d22a7cd25244a4
Homepage: https://cran.r-project.org/package=FCMapper
Description: CRAN Package 'FCMapper' (Fuzzy Cognitive Mapping)
 Provides several functions to create and manipulate fuzzy cognitive maps. It
 is based on 'FCMapper' for Excel, distributed at <http://
 www.fcmappers.net/joomla/>, developed by Michael Bachhofer and Martin
 Wildenberg.  Maps are inputted as adjacency matrices. Attributes of the maps
 and the equilibrium values of the concepts (including with user-defined
 constrained values) can be calculated. The maps can be graphed with a
 function that calls 'igraph'. Multiple maps with shared concepts can be
 aggregated.

Package: r-cran-fco
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-semtools, r-cran-checkmate, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fco_0.8.0-1.ca2004.1_all.deb
Size: 190000
MD5sum: 34754e7d10658deb213d06f3f6062b8d
SHA1: bf49cabc26078d6b374a7ca9a5e99fc7d08ff30c
SHA256: ef0cce91d54fc829b65b7ac90b0de7e7052a81ffddd41a4eac32ae899bac89d4
SHA512: 325af75a371d738ffebc73156cba511591feaeea129f733a80d7b391b9f247eaa2f9150f4c4a00128226948d3e283b4739aec8a409e4119b7d6b71304f33a218
Homepage: https://cran.r-project.org/package=FCO
Description: CRAN Package 'FCO' (Flexible Cutoffs for Model Fit Evaluation in Covariance-BasedStructural Models)
 A toolbox to derive flexible cutoffs for fit indices in 'Covariance-based
 Structural Equation Modeling' based on the paper by 'Niemand & Mai (2018)'
 <doi:10.1007/s11747-018-0602-9>. Flexible cutoffs are an alternative to
 fixed cutoffs - rules-of-thumb - regarding an appropriate cutoff for fit
 indices such as 'CFI' or 'SRMR'. It has been demonstrated that these
 flexible cutoffs perform better than fixed cutoffs in grey areas where
 misspecification is not easy to detect. The package provides an alternative
 to the tool at <https://flexiblecutoffs.org> as it allows to tailor flexible
 cutoffs to a given dataset and model, which is so far not available in the
 tool. The package simulates fit indices based on a given dataset and model
 and then estimates the flexible cutoffs. Some useful functions, e.g., to
 determine the 'GoF-' or 'BoF-nature' of a fit index, are provided. So far,
 additional options for a relative use (is a model better than another?) are
 provided in an exploratory manner.

Package: r-cran-fcopulae
Architecture: all
Version: 4022.85-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics, r-cran-fmultivar
Suggests: r-cran-runit, r-cran-mvtnorm, r-cran-sn
Filename: pool/dists/focal/main/r-cran-fcopulae_4022.85-1.ca2004.1_all.deb
Size: 584612
MD5sum: e4970f8028b3c19987643af15291902e
SHA1: 5e6c5fb13b7686b63a84128d86c74c95c11ccb02
SHA256: f7d0390b8a83382a8c895a38477c49fca732796a2d0f3476d6be5b2aae8f7cb8
SHA512: 5b25be4372bc4fcb172d881930f7753c9852da52a4c3f7afb86fa0bddcd86092107a95818eea116e6ba76b59fc7cff52e118709a8356bef7ba50d2bfd0802a1c
Homepage: https://cran.r-project.org/package=fCopulae
Description: CRAN Package 'fCopulae' (Rmetrics - Bivariate Dependence Structures with Copulae)
 Provides a collection of functions to manage, to investigate and to analyze
 bivariate financial returns by Copulae. Included are the families of
 Archemedean, Elliptical, Extreme Value, and Empirical Copulae.

Package: r-cran-fcp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fcp_0.1.0-1.ca2004.1_all.deb
Size: 14952
MD5sum: 4a12efb4e0b5c4d4eb8951ceb0d194a5
SHA1: dd35b89197785cd871652a732586a9b9bef945c9
SHA256: b9d00e431864e5329ad4819dc3877240b68a8abfa58e31b7507818509bb0703d
SHA512: b296bd0ccf2744d29bae937080ddb9019d83c0df32c9a33ff4671893866e3b15b8c75c72a53a781b43d133ef525d1a4eac598add7f19b7589b9f97a430d9c3ed
Homepage: https://cran.r-project.org/package=fcp
Description: CRAN Package 'fcp' (Function Composition)
 A function composition operator to chain a series of calls into a single
 function, mimicking the math notion of (f o g o h)(x) = h(g(f(x))). Inspired
 by 'pipeOp' ('|>') since R4.1 and 'magrittr pipe' ('%>%'), the operator
 build a pipe without putting data through, which is best for anonymous
 function accepted by utilities such as apply() and lapply().

Package: r-cran-fcps
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7023
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mclust, r-cran-ggplot2, r-cran-datavisualizations
Suggests: r-cran-mlpack, r-cran-kernlab, r-cran-cclust, r-cran-dbscan, r-cran-kohonen, r-cran-mcl, r-cran-adpclust, r-cran-cluster, r-cran-databionicswarm, r-cran-orclus, r-cran-subspace, r-cran-flexclust, r-cran-abcanalysis, r-cran-apcluster, r-cran-pracma, r-cran-emcluster, r-cran-pdfcluster, r-cran-paralleldist, r-cran-plotly, r-cran-projectionbasedclustering, r-cran-generalizedumatrix, r-cran-mstknnclust, r-cran-densityclust, r-cran-energy, r-cran-r.utils, r-cran-tclust, r-cran-spectrum, r-cran-genie, r-cran-protoclust, r-cran-fastcluster, r-cran-clusterability, r-cran-signal, r-cran-reshape2, r-cran-ppci, r-cran-clustrd, r-cran-smacof, r-cran-rgl, r-cran-prclust, r-cran-cec, r-cran-dendextend, r-cran-moments, r-cran-prabclus, r-cran-varsellcm, r-cran-sparcl, r-cran-mixtools, r-cran-hdclassif, r-cran-clustvarsel, r-cran-yardstick, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-leiden, r-cran-clustmixtype, r-cran-clustersim, r-cran-networktoolbox, r-cran-clusterr, r-cran-partitioncomparison
Filename: pool/dists/focal/main/r-cran-fcps_1.3.4-1.ca2004.1_all.deb
Size: 3920052
MD5sum: 5bdc458ca562a4c5dfbd8ce2d62c9bfc
SHA1: 26f9f007753760882ef78e359f88a3af5cf1b899
SHA256: f47bbc72b776aa2453ee5c73568588e637158fd0dea51faf27157eecc037a261
SHA512: 4421a13a129e68cd7de05dc4143979a644f96ed5aba35707e30577affb50b2c30f97e9015b2722a8bd75999f3f565236541b7564e33bad8a76f88c924daf5b3e
Homepage: https://cran.r-project.org/package=FCPS
Description: CRAN Package 'FCPS' (Fundamental Clustering Problems Suite)
 Over sixty clustering algorithms are provided in this package with
 consistent input and output, which enables the user to try out algorithms
 swiftly. Additionally, 26 statistical approaches for the estimation of the
 number of clusters as well as the mirrored density plot (MD-plot) of
 clusterability are implemented. The packages is published in Thrun, M.C.,
 Stier Q.: "Fundamental Clustering Algorithms Suite" (2021), SoftwareX,
 <DOI:10.1016/j.softx.2020.100642>. Moreover, the fundamental clustering
 problems suite (FCPS) offers a variety of clustering challenges any
 algorithm should handle when facing real world data, see Thrun, M.C., Ultsch
 A.: "Clustering Benchmark Datasets Exploiting the Fundamental Clustering
 Problems" (2020), Data in Brief, <DOI:10.1016/j.dib.2020.105501>.

Package: r-cran-fcr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-face, r-cran-mgcv, r-cran-fields
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fcr_1.0-1.ca2004.1_all.deb
Size: 531612
MD5sum: 80e52ff368da8148bccda59a37cd6be6
SHA1: 9b5ac5cb856cb53dba61848d854bc688cf13f50a
SHA256: 40b9e5f0b5c145ead1c328bc994e5903c934e5cbfff2175ec6234b8a8fa250df
SHA512: 52a2ca75e38c00df751894d30764012343d304fc2ff88056ba27785337bd56e6993a4663672a275a61093028513c355016c3ce93a4ea15d5a6f4ecd3e573d9d1
Homepage: https://cran.r-project.org/package=fcr
Description: CRAN Package 'fcr' (Functional Concurrent Regression for Sparse Data)
 Dynamic prediction in functional concurrent regression with an application
 to child growth. Extends the pffr() function from the 'refund' package to
 handle the scenario where the functional response and concurrently measured
 functional predictor are irregularly measured.  Leroux et al. (2017),
 Statistics in Medicine, <doi:10.1002/sim.7582>.

Package: r-cran-fcslib
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5028
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tiff, r-cran-stringr, r-cran-bitops, r-cran-fields
Filename: pool/dists/focal/main/r-cran-fcslib_1.3.0-1.ca2004.1_all.deb
Size: 4650604
MD5sum: 074029722b86f790cf7ee5f277f44215
SHA1: 96e79feee94e74a4db4ea0aabf6b5423a48a0ac2
SHA256: cecb24d08ce460a4175bcba809e909120e9e245e90c4bcb61d564ba81327ebed
SHA512: e6fd4806160b865cdbe4669d315fe0c9711901860d2f5936c6153b521edcba710fd0f66ad8ad163135e377c5be83d50b9bb02c4b61479d7eb654c0c393026db3
Homepage: https://cran.r-project.org/package=FCSlib
Description: CRAN Package 'FCSlib' (A Collection of Fluorescence Fluctuation Spectroscopy AnalysisMethods)
 This is a package for fluorescence fluctuation spectroscopy data analysis
 methods such as spFCS, FCCS, scanning-FCS, pCF, N&B and pCOMB, among others.
 In addition, several data detrending tools are provided. For an extensive
 user's guide for the use of FCSlib, please navigate to
 (<https://github.com/FCSlib/FCSlib/tree/master/Documentation>).  Sample data
 can be found at
 (<https://github.com/FCSlib/FCSlib/tree/master/Sample%20Data>).  The
 original paper where this package is presented can be found at
 (<doi:10.1093/bioinformatics/btaa876>).

Package: r-cran-fctutils
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-stringdist
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fctutils_0.0.7-1.ca2004.1_all.deb
Size: 199840
MD5sum: bb7f770027bc63c87f857fb8adbbfdf6
SHA1: 70635891bb7854e63899312974d9c0ec302ffe45
SHA256: 10dc06dd92a32d25da5f6f4c8abeda635d5c4caad0bfbe91146f90781f5dbc7f
SHA512: f9cbb4fff90fcccc250328f5d6a94881a9f132a5936f634314af4e4edce2954aa47dd6ff0376f54d700c837179ad32fd0b53b73357197cad71d71e08b42c8189
Homepage: https://cran.r-project.org/package=fctutils
Description: CRAN Package 'fctutils' (Advanced Factor Manipulation Utilities)
 Provides a collection of utility functions for manipulating and analyzing
 factor vectors in R. It offers tools for filtering, splitting, combining,
 and reordering factor levels based on various criteria. The package is
 designed to simplify common tasks in categorical data analysis, making it
 easier to work with factors in a flexible and efficient manner.

Package: r-cran-fcuk
Architecture: all
Version: 0.1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringdist, r-cran-purrr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fcuk_0.1.21-1.ca2004.1_all.deb
Size: 27132
MD5sum: 80a90bc78b474f56152ae0bd309f8f68
SHA1: 09b55a0ca5124363fe9d23afeae5c11abeea9882
SHA256: 171d32002556e6dbe553ca36f5e0767a68cfa20ee417ff8f1d67055693989ca7
SHA512: a797af334efb8b418ccc08c873338e68f5000b9a5cce0b9a749c3bc889d48f629fd96344b1b79ec40eeb5026d3b5ab7b47776fe39029bfb5b8005868e775c498
Homepage: https://cran.r-project.org/package=fcuk
Description: CRAN Package 'fcuk' (The Ultimate Helper for Clumsy Fingers)
 Automatically suggests a correction when a typo occurs.

Package: r-cran-fcvar
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pracma, r-cran-fracdist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fcvar_0.1.4-1.ca2004.1_all.deb
Size: 227832
MD5sum: 8e5215389bf402530523dd153d1c306c
SHA1: c1a289c8001fb96cfb7b9564dc234fb1807605f7
SHA256: a78fe5560543b432350894e661f1f2500104a7cdc63d0881ed314f0dc4724d09
SHA512: c26ba454f4e54bc8c37bc7b009aef1875c17e6510a9cd802f7eb9a5ab13ae0ffe2abe0cb24a9e21b5f083de7db4d71a66bd9b61648bbefaf4245ba0e82a9475a
Homepage: https://cran.r-project.org/package=FCVAR
Description: CRAN Package 'FCVAR' (Estimation and Inference for the Fractionally Cointegrated VAR)
 Estimation and inference using the Fractionally Cointegrated Vector
 Autoregressive (VAR) model. It includes functions for model specification,
 including lag selection and cointegration rank selection, as well as a
 comprehensive set of options for hypothesis testing, including tests of
 hypotheses on the cointegrating relations, the adjustment coefficients and
 the fractional differencing parameters.  An article describing the FCVAR
 model with examples is available on the Webpage
 <https://sites.google.com/view/mortennielsen/software>.

Package: r-cran-fda
Architecture: all
Version: 6.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4761
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fds, r-cran-desolve
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-fda_6.3.0-1.ca2004.1_all.deb
Size: 2567060
MD5sum: 82d4ba7790fe71347fca3530377d8514
SHA1: dc1ed895e41bee5081b7601384ed38d941308ec0
SHA256: 06ce51ca857f6243feccdd59457276892664f6297474e55fd6b5aef8bc8ab47d
SHA512: 3798fad80f94eb3793e32858bec09074f22854e99ea0fbeb2ea6bf52cb340082cdc16884518ad7a8ef5b5311751bd818302a62a42b6d39fcd8d02c8328d37302
Homepage: https://cran.r-project.org/package=fda
Description: CRAN Package 'fda' (Functional Data Analysis)
 These functions were developed to support functional data analysis as
 described in Ramsay, J. O. and Silverman, B. W.  (2005) Functional Data
 Analysis. New York: Springer and in Ramsay, J. O., Hooker, Giles, and
 Graves, Spencer (2009).  Functional Data Analysis with R and Matlab
 (Springer).  The package includes data sets and script files working many
 examples including all but one of the 76 figures in this latter book.
 Matlab versions are available by ftp from
 <https://www.psych.mcgill.ca/misc/fda/downloads/FDAfuns/>.

Package: r-cran-fdaacf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-pracma, r-cran-fda, r-cran-vars
Suggests: r-cran-testthat, r-cran-fields
Filename: pool/dists/focal/main/r-cran-fdaacf_1.0.0-1.ca2004.1_all.deb
Size: 114092
MD5sum: 73233d8e4aeb2f5b4b5a921bb085cc62
SHA1: 064013fe73bef6792cd32520266cf5df4c79ef20
SHA256: 48d02f18a4a362660389730d59bd75ad5bbd8154067cb22ea7e6979f88bbe42f
SHA512: 7da307547acc3167e1662a82a94b0572e4c0230dd290ce5182fef7c53000d8b739c14dceb4f080d12ba070e9a795521dbdc7b07e119ca10d100e2c0ffbdda823
Homepage: https://cran.r-project.org/package=fdaACF
Description: CRAN Package 'fdaACF' (Autocorrelation Function for Functional Time Series)
 Quantify the serial correlation across lags of a given functional time
 series using the autocorrelation function and a partial autocorrelation
 function for functional time series proposed in Mestre et al. (2021)
 <doi:10.1016/j.csda.2020.107108>.  The autocorrelation functions are based
 on the L2 norm of the lagged covariance operators of the series. Functions
 are available for estimating the distribution of the autocorrelation
 functions under the assumption of strong functional white noise.

Package: r-cran-fdakma
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-fdacluster, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-fdakma_1.3.1-1.ca2004.1_all.deb
Size: 229696
MD5sum: e4844d8b6081d8bc6b25dddcadc59a0d
SHA1: a0ad15e8ed12895bd21d3a513de88418f4a8f8b6
SHA256: a578eca1e350544cca265a6cff42019f99979fa46674e0558805d91d8cb68bb8
SHA512: 46c6cdf9d86bbf09a1b3809b5404ec26c1eb1723bf3d18beb98450bef178be614c3018aa75031ba263cdc1d20cae0271765b6933a48151c6864c3b2c41abcc7b
Homepage: https://cran.r-project.org/package=fdakma
Description: CRAN Package 'fdakma' (Functional Data Analysis: K-Mean Alignment)
 It performs simultaneously clustering and alignment of a multidimensional or
 unidimensional functional dataset by means of k-mean alignment.

Package: r-cran-fdamocca
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1435
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-foreach, r-cran-doparallel, r-cran-mvtnorm, r-cran-fda
Filename: pool/dists/focal/main/r-cran-fdamocca_0.1-2-1.ca2004.1_all.deb
Size: 1436784
MD5sum: d2440b82625e79897acb5beb34f01e4b
SHA1: 580061158bebece2c153894482ac8ef911bae50c
SHA256: 72693b3a5ee1665ca4c76edc87833343a9a1a97a8f8668b48eb20ea8aaee553e
SHA512: e0c11d369db9e553e9bb2f69f377f77e567a208d9eefa71aa81ac1371464dba7b1cc9907845fb901a00f4b094f6fc9a2cbfc12c3c61db35274e7ddac95a95da6
Homepage: https://cran.r-project.org/package=fdaMocca
Description: CRAN Package 'fdaMocca' (Model-Based Clustering for Functional Data with Covariates)
 Routines for model-based functional cluster analysis for functional data
 with optional covariates. The idea is to cluster functional subjects (often
 called functional objects) into homogenous groups by using spline smoothers
 (for functional data) together with scalar covariates. The spline
 coefficients and the covariates are modelled as a multivariate Gaussian
 mixture model, where the number of mixtures corresponds to the number of
 clusters. The parameters of the model are estimated by maximizing the
 observed mixture likelihood via an EM algorithm (Arnqvist and Sjöstedt de
 Luna, 2019) <doi:10.48550/arXiv.1904.10265>. The clustering method is used
 to analyze annual lake sediment from lake Kassjön (Northern Sweden) which
 cover more than 6400 years and can be seen as historical records of weather
 and climate.

Package: r-cran-fdanova
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-doparallel, r-cran-ggplot2, r-cran-doby, r-cran-mass, r-cran-magic, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-fdanova_0.1.2-1.ca2004.1_all.deb
Size: 523320
MD5sum: 1aee614c858d3a50c62509fce828beda
SHA1: 726dc756264758700bc8d92f0b59d42362621abc
SHA256: f8e136d212020e24cf6ab5dd862482876e3c613e86d3cf5af8dcfc86dd1dcf45
SHA512: 7114f3b521af8bad8d8ad28eba15aabdd9faa294da9d10c360aec92a7e0716508f2a9e43a6b459b67ff0a5eff0f3ccad22ea77f384ac39fd5cd7e4257b90ae45
Homepage: https://cran.r-project.org/package=fdANOVA
Description: CRAN Package 'fdANOVA' (Analysis of Variance for Univariate and Multivariate FunctionalData)
 Performs analysis of variance testing procedures for univariate and
 multivariate functional data (Cuesta-Albertos and Febrero-Bande (2010)
 <doi:10.1007/s11749-010-0185-3>, Gorecki and Smaga (2015)
 <doi:10.1007/s00180-015-0555-0>, Gorecki and Smaga (2017)
 <doi:10.1080/02664763.2016.1247791>, Zhang et al. (2018)
 <doi:10.1016/j.csda.2018.05.004>).

Package: r-cran-fdapaceshiny
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-fdapace, r-cran-ggplot2, r-cran-golem, r-cran-htmltools, r-cran-magrittr, r-cran-shiny, r-cran-plotly, r-cran-purrr, r-cran-reshape2, r-cran-stringr, r-cran-tidyr, r-cran-bs4dash, r-cran-shinywidgets, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fdapaceshiny_1.0.5-1.ca2004.1_all.deb
Size: 73600
MD5sum: d513bf5c298b8872d1864e9cf7516552
SHA1: 75c09c281d477d84d7e9f741c9cfe7dcc7fe0cfa
SHA256: ee3533f9c5940a9e780861ace0a3719a702054f500cd6cfc05bcaea0f89d0d2f
SHA512: 6ec37f71c2886489145344e2dbf0a489a5b47cf2ea18be48a0173fa25cb45478caff33a51a3cd00359bdba6f7acb1814c13fdbaabf4364230d5e2c6d4f1f2390
Homepage: https://cran.r-project.org/package=fdapaceShiny
Description: CRAN Package 'fdapaceShiny' (A Shiny App for the 'fdapace' Package)
 Shiny app for the 'fdapace' package.

Package: r-cran-fdapoifd
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-tibble, r-cran-magrittr, r-cran-reshape2, r-cran-patchwork, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fdapoifd_2.0.0-1.ca2004.1_all.deb
Size: 437564
MD5sum: 208b187ed8c1c0b11231a619b31791bf
SHA1: 8d561d6a8f3193d81e7387b165835fda3ccbb9e6
SHA256: e66a51ce017a9f6dc1f0ffef86eb6850049473adc9f8c8dbaf7ca571c643719e
SHA512: 0d812521fa9fc02e27b7d4d1702299f1876a6be790af5bb8340a9d9735e292d99256d8db0945bc51e50c64197bde75702addf4fa0a5b86c1480a9239e1eab9e0
Homepage: https://cran.r-project.org/package=fdaPOIFD
Description: CRAN Package 'fdaPOIFD' (Partially Observed Integrated Functional Depth)
 Integrated Functional Depth for Partially Observed Functional Data and
 applications to visualization, outlier detection and classification. It
 implements the methods proposed in: Elías, A., Jiménez, R., Paganoni, A. M.
 and Sangalli, L. M., (2023), "Integrated Depth for Partially Observed
 Functional Data", Journal of Computational and Graphical Statistics,
 <doi:10.1080/10618600.2022.2070171>. Elías, A., Jiménez, R., & Shang, H. L.
 (2023), "Depth-based reconstruction method for incomplete functional data",
 Computational Statistics, <doi:10.1007/s00180-022-01282-9>. Elías, A., Nagy,
 S. (2024), "Statistical properties of partially observed integrated
 functional depths", TEST, <doi:10.1007/s11749-024-00954-6>.

Package: r-cran-fdatest
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fda
Filename: pool/dists/focal/main/r-cran-fdatest_2.1.1-1.ca2004.1_all.deb
Size: 246808
MD5sum: 039353b6523fdad9375a428eb219901c
SHA1: 841eb804fbbfbfe6bd0de2dce4144e86de17e46f
SHA256: 5f1b75d34e06abaa9f5165fe57e5f976c820b0290cd9988f5b91e04c732aba5a
SHA512: a07f41dafa5a9290a2d1a7bf6f1fd816dd5afbcaac03b757479bef2948950df83c0c82e8a8c1829717ebd95b956a5770ae15c5a1fc29015d0c608c1ed41121c1
Homepage: https://cran.r-project.org/package=fdatest
Description: CRAN Package 'fdatest' (Interval Testing Procedure for Functional Data)
 Implementation of the Interval Testing Procedure for functional data in
 different frameworks (i.e., one or two-population frameworks, functional
 linear models) by means of different basis expansions (i.e., B-spline,
 Fourier, and phase-amplitude Fourier). The current version of the package
 requires functional data evaluated on a uniform grid; it automatically
 projects each function on a chosen functional basis; it performs the entire
 family of multivariate tests; and, finally, it provides the matrix of the
 p-values of the previous tests and the vector of the corrected p-values. The
 functional basis, the coupled or uncoupled scenario, and the kind of test
 can be chosen by the user. The package provides also a plotting function
 creating a graphical output of the procedure: the p-value heat-map, the plot
 of the corrected p-values, and the plot of the functional data.

Package: r-cran-fdboost
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3765
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mboost, r-cran-matrix, r-cran-gamboostlss, r-cran-stabs, r-cran-mgcv, r-cran-mass, r-cran-zoo
Suggests: r-cran-fda, r-cran-fields, r-cran-ggplot2, r-cran-maps, r-cran-mapdata, r-cran-knitr, r-cran-refund, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fdboost_1.1-2-1.ca2004.1_all.deb
Size: 3302060
MD5sum: 943eeaf6556df4d5ad6202fb649fdb63
SHA1: b1a88d0e615aad2060a8a82e5734c6a1bbd2e2c3
SHA256: 133fbf1c5b4a710e5e4b36592d01df124c5a9909fe9ec75e16d1b0b70dd22aee
SHA512: e35e45f6ece34f1ef69ad0b19ed574f54216cf50ae6c8f5f00a5cc4b24d8921926b56c11dfb5aad56b2a11e399e05d2683eb13889db798ee694c26d39ee9e25a
Homepage: https://cran.r-project.org/package=FDboost
Description: CRAN Package 'FDboost' (Boosting Functional Regression Models)
 Regression models for functional data, i.e., scalar-on-function,
 function-on-scalar and function-on-function regression models, are fitted by
 a component-wise gradient boosting algorithm.  For a manual on how to use
 'FDboost', see Brockhaus, Ruegamer, Greven (2017)
 <doi:10.18637/jss.v094.i10>.

Package: r-cran-fdcov
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matlab, r-cran-corrplot
Suggests: r-cran-fds, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fdcov_1.1.0-1.ca2004.1_all.deb
Size: 99684
MD5sum: 5c9144bbf78ad0376b9b6005946b8133
SHA1: eeeae41545e904bca4d18b86c5285f177b2d4347
SHA256: d34fac7fe7459ad16153cee9627012cdbe0ddb96770d2fc689056d3fa8bbace6
SHA512: e435bdbb8a7152b3a46c359f235b13dab9029da329814d8d5486e651341867d7caaea831d77db73fefc02dcaf330547991478dd394f60d7a931d826b096fda24
Homepage: https://cran.r-project.org/package=fdcov
Description: CRAN Package 'fdcov' (Analysis of Covariance Operators)
 Provides a variety of tools for the analysis of covariance operators
 including k-sample tests for equality and classification and clustering
 methods found in the works of Cabassi et al (2017) <doi:10.1214/17-EJS1347>,
 Kashlak et al (2017) <arXiv:1604.06310>, Pigoli et al (2014)
 <doi:10.1093/biomet/asu008>, and Panaretos et al (2010)
 <doi:10.1198/jasa.2010.tm09239>.

Package: r-cran-fdicdata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fdicdata_0.1.1-1.ca2004.1_all.deb
Size: 47356
MD5sum: 2fc1863b563c7a4ddb10e96b2a71d81c
SHA1: bd068bbacbfb1c30fb41fa28847a89a6af13801e
SHA256: 989846840a9d8e2711f0b76e7876562c3d5d16b603b725ef39ca64513f800a3e
SHA512: 308c82666c1ebfaa6677edbb970fa24df6c8cb6a71b174de5c7f6c75948581f8241378297f9ab438ee25cf2a3b292308cc87223f30e5f62cf0477d7a1f3ad669
Homepage: https://cran.r-project.org/package=fdicdata
Description: CRAN Package 'fdicdata' (Accessing FDIC Bank Data)
 Retrieves financial data from Federal Deposit Insurance Corporation
 (FDIC)-insured institutions and provides access to the FDIC data taxonomy.

Package: r-cran-fdistr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fdistr_0.1.0-1.ca2004.1_all.deb
Size: 25648
MD5sum: 028ac4f4c92ad40e8b23f4b852047c99
SHA1: b4a6a0fac60ee74752d7a32eba11897bc21681ae
SHA256: ff6b03dc623b191c7ddc1f28419dfeb47b86630c7d4b660bf927bf9a70041f9c
SHA512: 56f802467ca0add58271b9dc937613b6089ac96a25fafe09c58c0ca5a626719c254aaf3e14612476c511df4a89f44658d34764ef28906d1807856643a0f63dee
Homepage: https://cran.r-project.org/package=fdistr
Description: CRAN Package 'fdistr' (Frequency Distribution Tables)
 Provides functionality to generate a frequency distribution table from a set
 of observations and plot the frequency distribution using a Pareto chart.

Package: r-cran-fdm2id
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arules, r-cran-arulesviz, r-cran-factominer, r-cran-mclust, r-cran-nnet, r-cran-pls
Suggests: r-cran-car, r-cran-caret, r-cran-class, r-cran-cluster, r-cran-e1071, r-cran-fds, r-cran-flexclust, r-cran-fpc, r-cran-glmnet, r-cran-ibr, r-cran-irr, r-cran-kohonen, r-cran-leaps, r-cran-mass, r-cran-mda, r-cran-meanshiftr, r-cran-questionr, r-cran-randomforest, r-cran-rocr, r-cran-rpart, r-cran-rpart.plot, r-cran-rtsne, r-cran-snowballc, r-cran-text2vec, r-cran-stopwords, r-cran-wordcloud, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-fdm2id_0.9.9-1.ca2004.1_all.deb
Size: 1410996
MD5sum: c80756f272a383cb996f971bfa9c560d
SHA1: 193a0515f4d0e76b01915cf9fca461830bf3e72d
SHA256: 3abbdc2fe6ba5311868c393a94b013747e25eac2121cff236afff85c27c9172f
SHA512: 6458054634b373b2c2bf9e00435a0bff5f741a0555a1cf165d4efbbdd7dd9ffa31b17889c50c308347ce0a7ea4b046246f1e0eca0ab6cd119bf857d09ebdddc4
Homepage: https://cran.r-project.org/package=fdm2id
Description: CRAN Package 'fdm2id' (Data Mining and R Programming for Beginners)
 Contains functions to simplify the use of data mining methods
 (classification, regression, clustering, etc.), for students and beginners
 in R programming. Various R packages are used and wrappers are built around
 the main functions, to standardize the use of data mining methods
 (input/output): it brings a certain loss of flexibility, but also a gain of
 simplicity. The package name came from the French "Fouille de Données en
 Master 2 Informatique Décisionnelle".

Package: r-cran-fdq
Architecture: all
Version: 0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fgmutils, r-cran-data.table, r-cran-sqldf, r-cran-randomcolor, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-fdq_0.12-1.ca2004.1_all.deb
Size: 9488
MD5sum: e848ca5c1b33ca0e89e45673757b363d
SHA1: 4a3879b62098e7004f9a6d8110cbc2a381097eca
SHA256: d72370d001828196873057eec2007146d24175ed6f502bcac456929f174ab1ac
SHA512: ea1386f1ea45bdd1b1a4d8beddb80e6884dd783a843cd0978266d6c36b91337e343dd7f87d996a236fcb8b9f1b3605e394eefa6be0bfda50c335afffe3787e59
Homepage: https://cran.r-project.org/package=fdq
Description: CRAN Package 'fdq' (Forest Data Quality)
 Forest data quality is a package containing nine methods of analysis for
 forest databases, from databases containing inventory data and growth
 models, the focus of the analyzes is related to the quality of the data
 present in the database with a focus on consistency , punctuality and
 completeness of data.

Package: r-cran-fdrci
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-bioc-geoquery, r-cran-dplyr, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-fdrci_2.4-1.ca2004.1_all.deb
Size: 235052
MD5sum: 70522c4dddc72653c0f6f8b693e9efc6
SHA1: 5ad58bfbec234c87255797299390577b57ac7823
SHA256: 22fdc9375188f3fadfd32152229ba205cb1c0bfa249d24c17e11d68411b0d07f
SHA512: 891cc577805813ded10ca223122126073b34bbdd68577f1d43313023f9f5d188f9b0222b60b574ebba7fc90b3943427077442560988a17498e6ddfb2eb3de95b
Homepage: https://cran.r-project.org/package=fdrci
Description: CRAN Package 'fdrci' (Permutation-Based FDR Point and Confidence Interval Estimation)
 FDR functions for permutation-based estimators, including pi0 as well as FDR
 confidence intervals. The confidence intervals account for dependencies
 between tests by the incorporation of an overdispersion parameter, which is
 estimated from the permuted data. Also included are options for an analog
 parametric approach.

Package: r-cran-fdrdiscretenull
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-bioc-qvalue
Filename: pool/dists/focal/main/r-cran-fdrdiscretenull_1.4-1.ca2004.1_all.deb
Size: 120596
MD5sum: dfb1e537bc4cf0c32fdb2cafc402dfa3
SHA1: 0cca1184f23b39249569431365e403c34bed1b8b
SHA256: 048f8edd4fe8d86e1307e0015c7a2e4d03b3a7325c9ccd17590650a1b030f9f9
SHA512: 3baf93abe711a058b0bf2c2f397bf905bd1289ead60ff653dbb4df8ae769a1a52209b3cf29989900575b7c237fdc494fb2cae2fcac6ce891647d4ea3b5061a72
Homepage: https://cran.r-project.org/package=fdrDiscreteNull
Description: CRAN Package 'fdrDiscreteNull' (False Discovery Rate Procedures Under Discrete and HeterogeneousNull Distributions)
 It is known that current false discovery rate (FDR) procedures can be very
 conservative when applied to multiple testing in the discrete paradigm where
 p-values (and test statistics) have discrete and heterogeneous null
 distributions. This package implements more powerful weighted or adaptive
 FDR procedures for FDR control and estimation in the discrete paradigm. The
 package takes in the original data set rather than just the p-values in
 order to carry out the adjustments for discreteness and heterogeneity of
 p-value distributions. The package implements methods for two types of test
 statistics and their p-values: (a) binomial test on if two independent
 Poisson distributions have the same means, (b) Fisher's exact test on if the
 conditional distribution is the same as the marginal distribution for two
 binomial distributions, or on if two independent binomial distributions have
 the same probabilities of success.

Package: r-cran-fdrestimation
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-fdrestimation_1.0.1-1.ca2004.1_all.deb
Size: 62040
MD5sum: b8ac7f93a4383b17ba845dc4524549a8
SHA1: c0498764d7cfccdaa1eafe6bc3542ed7311d5ed6
SHA256: da481578a875c24db4b9e35e7de7ef402e9c1c9fbc1a085fa16b5ac8656076bd
SHA512: 666a222e5bef26692e9bfcd9c8a8d91ea8c133ed98afd3eee6591498dcdbf04c29c99c0768d1d78e64e914a91a6a919022db1c5adb6b465bf6d3410a8427911a
Homepage: https://cran.r-project.org/package=FDRestimation
Description: CRAN Package 'FDRestimation' (Estimate, Plot, and Summarize False Discovery Rates)
 The user can directly compute and display false discovery rates from
 inputted p-values or z-scores under a variety of assumptions. p.fdr()
 computes FDRs, adjusted p-values and decision reject vectors from inputted
 p-values or z-values. get.pi0() estimates the proportion of data that are
 truly null. plot.p.fdr() plots the FDRs, adjusted p-values, and the raw
 p-values points against their rejection threshold lines.

Package: r-cran-fdrsamplesize2
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fdrsamplesize2_0.2.0-1.ca2004.1_all.deb
Size: 114424
MD5sum: 8ad0b1d9eeed595b985dd408fd0d4f0f
SHA1: 614c41fe378ea3967cb07a8cb230667c0d632969
SHA256: aa8db63fb558d1891f86722ae571b7ad0caf0a3c6c5ec0d9f875bcc808bd0f1a
SHA512: fa328b12d5e06b6547db5eb3d07553c05b9e5ae44d15bf6b94ae9c6a74e150d8809cf7836c33a84c28d8df0c3e4f15aeac324443398460d4096b85d12d63f449
Homepage: https://cran.r-project.org/package=FDRsamplesize2
Description: CRAN Package 'FDRsamplesize2' (Computing Power and Sample Size for the False Discovery Rate inMultiple Applications)
 Defines a collection of functions to compute average power and sample size
 for studies that use the false discovery rate as the final measure of
 statistical significance. A three-rectangle approximation method of a
 p-value histogram is proposed to derive a formula to compute the statistical
 power for analyses that involve the FDR. The methodology paper of this
 package is under review.

Package: r-cran-fdrsampsize
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fdrsampsize_1.0-1.ca2004.1_all.deb
Size: 64524
MD5sum: dad5fd82d9c5bdda97d4e16d8439b005
SHA1: b9e567c57cf50ac7d6d51fe78b73953df24c745c
SHA256: fec32dca8a3d3eb5f9c513dd20051c2a0dee90a456f85ba2b70db4fd4ff2ae2c
SHA512: c4d7b4e0ffddf7067e27f8fac46f96699e2fdd9561449b0d07b4af2d6d1b5ced6f9e9546758df4bb1e9caf0b2c46d2085962a04cef10b320aa3ecbc3bd4b54ad
Homepage: https://cran.r-project.org/package=FDRsampsize
Description: CRAN Package 'FDRsampsize' (Compute Sample Size that Meets Requirements for Average Powerand FDR)
 Defines a collection of functions to compute average power and sample size
 for studies that use the false discovery rate as the final measure of
 statistical significance.

Package: r-cran-fds
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3983
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rainbow, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-fds_1.8-1.ca2004.1_all.deb
Size: 4034464
MD5sum: 0b10eebbcf1a2ac41e53a55af817466c
SHA1: 0c077ea027de235cc33167c7ceda1f1f7d22a4a6
SHA256: 65777068fa02c1ec0e9c0abf13f2548403ac9851b2ccced5d6f17c23676d7615
SHA512: 9e69e1fded626ed9c15bae36a16fc1aefb5451f0c9fb8498d487684793b974a0938d92a0ab4c569a57a55828f2c2c42dea226a2293fb634ae03b711a0299b532
Homepage: https://cran.r-project.org/package=fds
Description: CRAN Package 'fds' (Functional Data Sets)
 Functional data sets.

Package: r-cran-fdth
Architecture: all
Version: 1.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-fdth_1.3-0-1.ca2004.1_all.deb
Size: 294692
MD5sum: effe18496bf3bbc6921e7e8b405f5d0c
SHA1: b70af9d19c0a18ce0c10c7e96a8132ec930e14b8
SHA256: c7cf763514acd34ffc9a54748f1f1e3ebab132111b0167d5ce851464bd0990bc
SHA512: 64c3c0c8f48d5646bed1aab7792323af716a99727e034921503b83bde8d9cdc6f0efd444b5836cc01aa6cee09338e04ffd61b26a5588132b4ee924c4a91c2839
Homepage: https://cran.r-project.org/package=fdth
Description: CRAN Package 'fdth' (Frequency Distribution Tables, Histograms and Polygons)
 Perform frequency distribution tables, associated histograms and polygons
 from vector, data.frame and matrix objects for numerical and categorical
 variables.

Package: r-cran-fdwasserstein
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3366
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-future
Filename: pool/dists/focal/main/r-cran-fdwasserstein_1.0-1.ca2004.1_all.deb
Size: 3413892
MD5sum: 36d8d97235aa7a94e3db9dc40e18706b
SHA1: 406d3bc2b0cb2e3ad2a40429ee58697540effe5c
SHA256: 38ea1fb848291be792ee59a964ef18682bf8be355f0ea28f346a2b519743e552
SHA512: 1af391602d112250656e79a4aaf812ffef25f9aa7cce18474b1bf5a48ef1936381562aa5619baf1c397915a352de11f55a15583e118d0b542e7d5ed644cc91e3
Homepage: https://cran.r-project.org/package=fdWasserstein
Description: CRAN Package 'fdWasserstein' (Application of Optimal Transport to Functional Data Analysis)
 These functions were developed to support statistical analysis on functional
 covariance operators.  The package contains functions to: - compute
 2-Wasserstein distances between Gaussian Processes as in Masarotto,
 Panaretos & Zemel (2019) <doi:10.1007/s13171-018-0130-1>; - compute the
 Wasserstein barycenter (Frechet mean) as in Masarotto, Panaretos & Zemel
 (2019) <doi:10.1007/s13171-018-0130-1>; - perform analysis of variance
 testing procedures for functional covariances and tangent space principal
 component analysis of covariance operators as in Masarotto, Panaretos &
 Zemel (2022) <arXiv:2212.04797>.  - perform a soft-clustering based on the
 Wasserstein distance where functional data are classified based on their
 covariance structure as in Masarotto & Masarotto (2023)
 <doi:10.1111/sjos.12692>.

Package: r-cran-fea
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geometry, r-cran-geosphere, r-cran-ptinpoly, r-cran-sp, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fea_0.0.2-1.ca2004.1_all.deb
Size: 233508
MD5sum: 28e3f2d4eecd393e825da0595e9adb15
SHA1: 936b3ea32971379d519f171eed66a71114cee2b8
SHA256: 6567d51ece06119db09a654bfb8cb64bfb290fa5dd10e963c60eabafdc22c0bb
SHA512: ae23442169ff20ff03438dfb23a380456046e6f05fde6877d40a0643671f114ba86a610a859ac032702a26c9fcb08f10b5f2de086dd6b20dec70884d3b02c1a5
Homepage: https://cran.r-project.org/package=FEA
Description: CRAN Package 'FEA' (Finite Element Modeling for R)
 Finite element modeling of beam structures and 2D geometries using constant
 strain triangles. Applies material properties and boundary conditions (load
 and constraint) to generate a finite element model. The model produces
 stress, strain, and nodal displacements; a heat map is available to
 demonstrate regions where output variables are high or low.  Also provides
 options for creating a triangular mesh of 2D geometries. Package developed
 with reference to: Bathe, K. J. (1996). Finite Element Procedures.[ISBN
 978-0-9790049-5-7] -- Seshu, P. (2012). Textbook of Finite Element Analysis.
 [ISBN-978-81-203-2315-5] -- Mustapha, K. B. (2018). Finite Element
 Computations in Mechanics with R. [ISBN 9781315144474].

Package: r-cran-fealect
Architecture: all
Version: 1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-rms
Filename: pool/dists/focal/main/r-cran-fealect_1.20-1.ca2004.1_all.deb
Size: 223564
MD5sum: 6f9204e17eb464ee0729e9d5bdeb2c2a
SHA1: 470b0c9d58ecdba601ff18ec3caf04ff2baf84c6
SHA256: 62f95420bf803b2931fc696043eef97dfc49954c4d284a580dfcadc0f599b427
SHA512: bc6aa3f07baca118f55ed795ca56f523cf09d6d06b4072214ea5307c7f71de29240c2d1f8e9b063f7b0e75087c64a4bf1ce1498fa9b4f9ac70040c56d6390be8
Homepage: https://cran.r-project.org/package=FeaLect
Description: CRAN Package 'FeaLect' (Scores Features for Feature Selection)
 For each feature, a score is computed that can be useful for feature
 selection. Several random subsets are sampled from the input data and for
 each random subset, various linear models are fitted using lars method. A
 score is assigned to each feature based on the tendency of LASSO in
 including that feature in the models.Finally, the average score and the
 models are returned as the output. The features with relatively low scores
 are recommended to be ignored because they can lead to overfitting of the
 model to the training data. Moreover, for each random subset, the best set
 of features in terms of global error is returned. They are useful for
 applying Bolasso, the alternative feature selection method that recommends
 the intersection of features subsets.

Package: r-cran-feamir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3089
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-randomforest, r-cran-rpart, r-cran-rpart.plot, r-cran-ga, r-cran-e1071, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-reticulate
Suggests: r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-feamir_0.1.0-1.ca2004.1_all.deb
Size: 167216
MD5sum: 7491f98ff196e31ea5cc56387a3417f0
SHA1: 025c549bd231ba4d84a73fb0f3cbdf6ddc6fcf8c
SHA256: 6424e61637e541aa628c5d72fafb25673cb4430e2bd36145e3e962e785e54e3f
SHA512: 06ed0e248cd10fa226b1e91d89af2333776d68d7f7da05139f97bf6fde3d131402bb4a65c7f6c491820dc3c4fbe3d68e16b07ee12d6d9a416585331b7a63b7d3
Homepage: https://cran.r-project.org/package=feamiR
Description: CRAN Package 'feamiR' (Classification and Feature Selection for microRNA/mRNAInteractions)
 Comprises a pipeline for predicting microRNA/mRNA interactions, as detailed
 in Williams, Calinescu, Mohorianu (2020) <doi:10.1101/2020.12.23.424130>.
 Its input consists of [a] a messenger RNA (mRNA) dataset (either in fasta
 format, focused on 3' UTRs or in gtf format; for the latter, the sequences
 of the 3’ UTRs are generated using the genomic coordinates), [b] a microRNA
 dataset (in fasta format, retrieved from miRBase, <http://www.mirbase.org/>)
 and [c] an interaction dataset (in csv format, from miRTarBase
 <http://mirtarbase.cuhk.edu.cn/php/index.php>). To characterise and predict
 microRNA/mRNA interactions, we use [a] statistical analyses based on
 Chi-squared and Fisher exact tests and [b] Machine Learning classifiers
 (decision trees, random forests and support vector machines). To enhance the
 accuracy of the classifiers we also employ feature selection approaches used
 in on conjunction with the classifiers. The feature selection approaches
 include a voting scheme for decision trees, a measure based on Gini index
 for random forests, forward feature selection and Genetic Algorithms on
 SVMs. The pipeline also includes a novel approach based on embryonic Genetic
 Algorithms which combines and optimises the forward feature selection and
 Genetic Algorithms. All analyses, including the classification and feature
 selection, are applicable on the microRNA seed features (default), on the
 full microRNA features and/or flanking features on the mRNA. The sets of
 features can be combined.

Package: r-cran-feasts
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1499
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fabletools, r-cran-rlang, r-cran-tibble, r-cran-tsibble, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-scales, r-cran-vctrs, r-cran-lubridate, r-cran-slider, r-cran-lifecycle, r-cran-gtable
Suggests: r-cran-tsibbledata, r-cran-pillar, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-seasonal, r-cran-urca, r-cran-fracdiff, r-cran-fable, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-feasts_0.4.1-1.ca2004.1_all.deb
Size: 1260688
MD5sum: 74ac12570691aa2561c57bfa7541ede7
SHA1: 0a0ea3adc51a117bdb288f8e120abf624ea6f4a9
SHA256: a2500ee2806f1f397ba8d14d84a7cf8a03235035d61d86423dabc32b079df5f6
SHA512: a798cdd89cf96b74decb7a6dc79e0342673573fcf93d9ae5a9b616c3d293f7c12cb36c654a33d230bad77371f7256a00364794af1802c723c8ecfc96a4c3946f
Homepage: https://cran.r-project.org/package=feasts
Description: CRAN Package 'feasts' (Feature Extraction and Statistics for Time Series)
 Provides a collection of features, decomposition methods, statistical
 summaries and graphics functions for the analysing tidy time series data.
 The package name 'feasts' is an acronym comprising of its key features:
 Feature Extraction And Statistics for Time Series.

Package: r-cran-featforge
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-stringdist, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-featforge_0.1.2-1.ca2004.1_all.deb
Size: 117512
MD5sum: 7cb27a2ee3bf95188dd2516639f65889
SHA1: bbf917eefb82417c234a401096b06f172293fef2
SHA256: d89bcc86ae8b18c79c5887e2495838fb297262c3f45e1a46dfa5d56f02017bd1
SHA512: 8d662ebf4791a0cbd2c1fa221061f00c9fd1d5bb4d346d88ca766d865143e3b9525e7d02803793ecf2629b0818932e5e8c8b700ce9b1cb6ac38a75d1432ce48c
Homepage: https://cran.r-project.org/package=featForge
Description: CRAN Package 'featForge' (Automated Feature Engineering for Credit Scoring)
 Automated feature engineering functions tailored for credit scoring. It
 includes utilities for extracting structured features from timestamps, IP
 addresses, and email addresses, enabling enhanced predictive modeling for
 financial risk assessment.

Package: r-cran-feature
Architecture: all
Version: 1.2.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ks, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-misc3d, r-cran-rgl, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-feature_1.2.15-1.ca2004.1_all.deb
Size: 268264
MD5sum: e1829ff487f698c9cb604a98b015a1c0
SHA1: f362722c1fbfcb7de614d503c8e30dae17a36ee6
SHA256: 58ad3ad46b224305ad183df5e165f8b4415b4febb1fe2647b3bc6a00bdaf86c6
SHA512: 8eda440667cdf015e487374e1eeea905e7c118ac1d77ea0eb76d13bb3149006e8c7c01fbf93df7ad17fe6deae6d593a45b069b1bcc782e1d1b27859a5fb8aac9
Homepage: https://cran.r-project.org/package=feature
Description: CRAN Package 'feature' (Local Inferential Feature Significance for Multivariate KernelDensity Estimation)
 Local inferential feature significance for multivariate kernel density
 estimation.

Package: r-cran-featurecormatrix
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-featurecormatrix_0.4.0-1.ca2004.1_all.deb
Size: 30760
MD5sum: 7e1882b5063861698289a739770a29ee
SHA1: 4885f36b0eb6d819dc2433eb024c7bfa36dc4d46
SHA256: 88c6aa7ed5873768237c7576c36c27d60e3c7784372ba975217882229c2d4dcc
SHA512: b8d8af80791baa83a7088a554e7b35ee6aa94037d8d2070407e269720b7e9e095c7724fb509dd465fd40ff83919e0315f2eb1522a01f1ef634e364a43b6e16f2
Homepage: https://cran.r-project.org/package=featureCorMatrix
Description: CRAN Package 'featureCorMatrix' (Measurement Level Independent Feature Correlation Matrix)
 Uses three different correlation coefficients to calculate measurement-level
 adequate correlations in a feature matrix: Pearson product-moment
 correlation coefficient, Intraclass correlation and Cramer's V.

Package: r-cran-featureextraction
Architecture: all
Version: 3.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2119
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-databaseconnector, r-cran-andromeda, r-cran-dplyr, r-cran-rjava, r-cran-jsonlite, r-cran-sqlrender, r-cran-parallellogger, r-cran-cli, r-cran-pillar, r-cran-readr, r-cran-rlang, r-cran-rsqlite, r-cran-dbi, r-cran-checkmate, r-cran-vroom
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-eunomia, r-cran-withr, r-cran-curl, r-cran-httr
Filename: pool/dists/focal/main/r-cran-featureextraction_3.10.0-1.ca2004.1_all.deb
Size: 1528696
MD5sum: 5e643aea32eaa6aa8c831f4b405f5759
SHA1: 213a3f323d07696035dd49cc682f54d89ca0147f
SHA256: 80ee82f3823bbb7585ba025ba960d0a5b86bba50b68fb458cabb8017a2b163d5
SHA512: ddd03ec148144944a9d17b91e8f6cb441a6ee2579ce6075bb9b0a69491f9cae80fa881b4dd515aa49a91d68bac4eba6713b162838968307fc918093d1f95a126
Homepage: https://cran.r-project.org/package=FeatureExtraction
Description: CRAN Package 'FeatureExtraction' (Generating Features for a Cohort)
 An R interface for generating features for a cohort using data in the Common
 Data Model. Features can be constructed using default or custom made feature
 definitions. Furthermore it's possible to aggregate features and get the
 summary statistics.

Package: r-cran-featurefinder
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpart, r-cran-rpart.plot, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-png
Filename: pool/dists/focal/main/r-cran-featurefinder_1.2-1.ca2004.1_all.deb
Size: 281328
MD5sum: b08636cbc76875756789ffae3438a3f3
SHA1: 47cb19e2b65cdd6f5e61cb9a5229fc6d2ce5e582
SHA256: 310eae39bb78ec08fcbdbfad7eb2237bfecb5a04e388cacd6df4b2d9bed64f33
SHA512: 1701b9837d8ba2a45c9529477800c891d942e9766bdf7d813c142407431a1f3c89a931c31b1fdac679ac98f06e4e68c0e22ff4fd6b60db7feb8293826fd59d0c
Homepage: https://cran.r-project.org/package=featurefinder
Description: CRAN Package 'featurefinder' (Feature Finder)
 Finds features through a detailed analysis of model residuals using rpart
 classification and regression trees. Scans the residuals of a model across
 subsets of the data to identify areas where the model differs from the
 actual data.

Package: r-cran-featureflag
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-withr
Filename: pool/dists/focal/main/r-cran-featureflag_0.2.0-1.ca2004.1_all.deb
Size: 53720
MD5sum: 9b6ebae2c0245afa7ed938d3c81e3d22
SHA1: 25c09da2aa33cf3e37dce2168176b304f097ff9e
SHA256: a2155e1bf894c436e503e66936c40a65770c247e51bd3a6998a86f5df58a5542
SHA512: cad75bcb80553ebfcd3b08c20adae91a7fde0c952c3820d3526f0df7056de96cbb8b56e0bfac4b5395f27240e07b408c629523c4b0d570d0779f3a018625b055
Homepage: https://cran.r-project.org/package=featureflag
Description: CRAN Package 'featureflag' (Turn Features On and Off using Feature Flags)
 Feature flags allow developers to turn features of their software on and off
 in form of configuration. This package provides functions for creating
 feature flags in code. It exposes an interface for defining own feature
 flags which are enabled based on custom criteria.

Package: r-cran-featureimpcluster
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2
Suggests: r-cran-flexclust, r-cran-clustmixtype, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-attempt, r-cran-clustimpute, r-cran-covr
Filename: pool/dists/focal/main/r-cran-featureimpcluster_0.1.5-1.ca2004.1_all.deb
Size: 59260
MD5sum: e7a54613be28d0f535e61b990c01c081
SHA1: 47f82150356a5a471f2c30ea493d355c9ac67331
SHA256: 0f4430d0a8b43a9571761828aa8555bb13700ed1986911755bd13fb585ff11c8
SHA512: 69e6cb61a035487a54f16de95efaeeb8f988e7d5512fd19f28a6fbc0f4fc4f3b4823a6a7e9d7802f361ab198ec0f50c79b27061490a605eddbbb064787efde35
Homepage: https://cran.r-project.org/package=FeatureImpCluster
Description: CRAN Package 'FeatureImpCluster' (Feature Importance for Partitional Clustering)
 Implements a novel approach for measuring feature importance in k-means
 clustering. Importance of a feature is measured by the misclassification
 rate relative to the baseline cluster assignment due to a random permutation
 of feature values. An explanation of permutation feature importance in
 general can be found here:
 <https://christophm.github.io/interpretable-ml-book/feature-importance.html>.

Package: r-cran-features
Architecture: all
Version: 2025.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lokern
Filename: pool/dists/focal/main/r-cran-features_2025.1-1.ca2004.1_all.deb
Size: 26048
MD5sum: 39e509172bc8a34374211d68751b7bb7
SHA1: f8cd75ba89d979d449a1723f1ffccf4cb39da9ea
SHA256: d50c19f626cee4f42cf7903e6fa1d46ac5ab8305195f1c3d5ae7c31e46163841
SHA512: 9a7996217f7cfee6e6017a278f8937b3d99d9b780737e91e2c0f00da9178e060e87be46d3d4d6c95581d354d175b38ae7b0df4b1455dc3cd5a6df61a15534c8c
Homepage: https://cran.r-project.org/package=features
Description: CRAN Package 'features' (Feature Extraction for Discretely-Sampled Functional Data)
 Discretely-sampled function is first smoothed.  Features of the smoothed
 function are then extracted.  Some of the key features include mean value,
 first and second derivatives, critical points (i.e. local maxima and
 minima), curvature of cunction at critical points, wiggliness of the
 function, noise in data, and outliers in data.

Package: r-cran-featureterminator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-caret, r-cran-tibble, r-cran-dplyr, r-cran-lattice, r-cran-e1071, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-featureterminator_1.0.0-1.ca2004.1_all.deb
Size: 124396
MD5sum: ff60c3fe50b68306181c54d8fe21c086
SHA1: bf3f946a3c6f2fc01c1995eb3f85b9407a80e60f
SHA256: 7d6549e61ba279ba2d0ed1dcc23ae72a73281a87dc3a778fb05fb9d58c33ce24
SHA512: 525278162ce913db45128d5bb09b0d4514892806557076b8a24427df166d088007370fee92fa2d5b5b1a3ac6689109d7c53650697f582b7ff695470a2ee05eb3
Homepage: https://cran.r-project.org/package=FeatureTerminatoR
Description: CRAN Package 'FeatureTerminatoR' (Feature Selection Engine to Remove Features with MinimalPredictive Power)
 The aim is to take in data.frame inputs and utilises methods, such as
 recursive feature engineering, to enable the features to be removed.  What
 this does differently from the other packages, is that it gives you the
 choice to remove the variables manually, or it automated this process.
 Feature selection is a concept in machine learning, and statistical
 pipelines, whereby unimportant, or less predictive variables are eliminated
 from the analysis, see Boughaci (2018) <doi:10.1007/s40595-018-0107-y>.

Package: r-cran-featuretoolsr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-caret, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-magrittr, r-cran-cli, r-cran-testthat, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-featuretoolsr_0.4.4-1.ca2004.1_all.deb
Size: 47944
MD5sum: f35e8f6c0eb87e7e9a007497c1c08483
SHA1: f3eb125080d8c894ca9aa0879070738b634f1db8
SHA256: 890fd04097e5ced19b4ffb75059eef5f4d15f39f8509605d3029e7f0eb33e4f1
SHA512: 197b2b1781517d047a69f77e28366bc61bf0c0bb23333d748911995129cb85fe763ca9e40518d3433ff6d650093ec93034497cfd25cff581f4b55fe4d75d2233
Homepage: https://cran.r-project.org/package=featuretoolsR
Description: CRAN Package 'featuretoolsR' (Interact with the 'Python' Module 'Featuretools')
 A 'reticulate'-based interface to the 'Python' module 'Featuretools'.  The
 package grants functionality to interact with 'Pythons' 'Featuretools'
 module, which allows for automated feature engineering on any data frame.
 Valid features and new data sets can, after feature synthesis, easily be
 extracted.

Package: r-cran-featurizer
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-featurizer_0.2-1.ca2004.1_all.deb
Size: 33316
MD5sum: ee0f484d46b381d5e340028f563ed254
SHA1: 424f9a7974d48860a811c26837fca3e6a0f88c6e
SHA256: b7380016f5faea37813a6796d60695c96f1883f361dac74e4bb1aaf841fbb4c7
SHA512: fe09e0d0f8ae55722bd9a4e465d704078cb3a118f0bbd48b1ff39d795829d6147d7c4efcf96cb176bb33fe3394629e740e849c3c824eabc6428a9cd1a9d0bb03
Homepage: https://cran.r-project.org/package=featurizer
Description: CRAN Package 'featurizer' (Some Helper Functions that Help Create Features from Data)
 A collection of functions that would help one to build features based on
 external data. Very useful for Data Scientists in data to day work. Many
 functions create features using parallel computation. Since the nitty gritty
 of parallel computation is hidden under the hood, the user need not worry
 about creating clusters and shutting them down.

Package: r-cran-febr
Architecture: all
Version: 1.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-curl, r-cran-rmarkdown, r-cran-jsonlite, r-cran-sf, r-cran-stringr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-febr_1.9.9-1.ca2004.1_all.deb
Size: 171200
MD5sum: 37de50bbafdbecf942f4eb85cf90d0b3
SHA1: 4ada91f7c3069f3e157fddee031a7fdd185ae35a
SHA256: eb2664a53d96c81997a4615b9a208e080454ddd8359720c674e4dec27d5aa5f2
SHA512: a31f44a65cf1ac22fee1270906746fa4b88fa42568f8cb092e0b712db1e1c2de8d2a50d4b4c6504914e029623419a3a1fcf53bd30ab2ddc135ff71b15087fe47
Homepage: https://cran.r-project.org/package=febr
Description: CRAN Package 'febr' (Data Repository of the Brazilian Soil)
 Utilities to access and process data from the Data Repository of the
 Brazilian Soil <https://www.pedometria.org/febr/>.

Package: r-cran-fec16
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2330
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-vroom, r-cran-usethis
Suggests: r-cran-testthat, r-cran-scales, r-cran-knitr, r-cran-rmarkdown, r-cran-fs, r-cran-lubridate, r-cran-ggplot2, r-cran-stringr, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-fec16_0.1.4-1.ca2004.1_all.deb
Size: 2196828
MD5sum: bb4961d396f0e4a5b3b00f5f3b02775b
SHA1: 432c463dd5de251108721c1c2826dd3f5b5543ee
SHA256: 33efe4f23ce790b4b6f0042e67710c12483f9f91b35846e44359421542d2c8f2
SHA512: bb4abb98f07360c520689c1e8f38fd968f4bf7afecf903b8649fe1f810cc2ec6e7b5f7783c8db6a6203bc6f64e4a99ce316ee8d132ba52879ceae3c067c0d627
Homepage: https://cran.r-project.org/package=fec16
Description: CRAN Package 'fec16' (Data Package for the 2016 United States Federal Elections)
 Easily analyze relational data from the United States 2016 federal election
 cycle as reported by the Federal Election Commission.  This package contains
 data about candidates, committees, and a variety of different financial
 expenditures. Data is from
 <https://www.fec.gov/data/browse-data/?tab=bulk-data>.

Package: r-cran-feddata
Architecture: all
Version: 4.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1877
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-stringr, r-cran-igraph, r-cran-xml2, r-cran-lifecycle, r-cran-lubridate, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-terra, r-cran-sf, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-jsonlite
Suggests: r-cran-arcgislayers, r-cran-knitr, r-cran-leaflet, r-cran-mapview, r-cran-ncdf4, r-cran-rmapshaper, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-feddata_4.3.0-1.ca2004.1_all.deb
Size: 1419512
MD5sum: 7af051937e0334822b53d0b12f01d363
SHA1: a3b323e3295a9f3bca8b8afc770ea4c64524bd78
SHA256: 1803a0ab47b36a6071c964b70c02218b0d13f54821626277985ebe2c72a8e8fa
SHA512: 2be6dc69df63d27e4fae04bbcead1c4f12d2917033d3e6e8b553d3ebf2c18baedc9f935768eb26dff3f5f8a1c3b8c09785ffc3acb53de2cdb35d5ed763d17a1e
Homepage: https://cran.r-project.org/package=FedData
Description: CRAN Package 'FedData' (Download Geospatial Data Available from Several Federated DataSources)
 Download geospatial data available from several federated data sources
 (mainly sources maintained by the US Federal government). Currently, the
 package enables extraction from nine datasets: The National Elevation
 Dataset digital elevation models
 (<https://www.usgs.gov/3d-elevation-program> 1 and 1/3 arc-second; USGS);
 The National Hydrography Dataset
 (<https://www.usgs.gov/national-hydrography/national-hydrography-dataset>;
 USGS); The Soil Survey Geographic (SSURGO) database from the National
 Cooperative Soil Survey (<https://websoilsurvey.sc.egov.usda.gov/>; NCSS),
 which is led by the Natural Resources Conservation Service (NRCS) under the
 USDA; the Global Historical Climatology Network
 (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>;
 GHCN), coordinated by National Climatic Data Center at NOAA; the Daymet
 gridded estimates of daily weather parameters for North America, version 4,
 available from the Oak Ridge National Laboratory's Distributed Active
 Archive Center (<https://daymet.ornl.gov/>; DAAC); the International Tree
 Ring Data Bank; the National Land Cover Database (<https://www.mrlc.gov/>;
 NLCD); the Cropland Data Layer from the National Agricultural Statistics
 Service
 (<https://www.nass.usda.gov/Research_and_Science/Cropland/SARS1a.php>;
 NASS); and the PAD-US dataset of protected area boundaries
 (<https://www.usgs.gov/programs/gap-analysis-project/science/pad-us-data-overview>;
 USGS).

Package: r-cran-federalregister
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-curl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-federalregister_0.2.0-1.ca2004.1_all.deb
Size: 43792
MD5sum: b5dd8dc278c87088379f80830fd7c170
SHA1: 469b39d57861b1b2932a4607cc97a2a6fd056c2c
SHA256: 00485a9468077a237742ddd90b2bcd3b0f2474e9be890eacdcf736ba0684245e
SHA512: f1eba8a69349ca379a083cd9c3bb6bb2425f6f6422d654ddf1c07969bf6efd0ddf3cb55e98d39b58522904fd02d51618258f406570b95682bf64e49ae1a481e0
Homepage: https://cran.r-project.org/package=federalregister
Description: CRAN Package 'federalregister' (Client Package for the U.S. Federal Register API)
 Access data from the Federal Register API
 <https://www.federalregister.gov/developers/api/v1>.

Package: r-cran-fedirt
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-pracma, r-cran-shiny, r-cran-httr, r-cran-callr, r-cran-dt, r-cran-ggplot2, r-cran-shinyjs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fedirt_1.1.0-1.ca2004.1_all.deb
Size: 146452
MD5sum: f97a0d618df46e0e5f5cb14af5934099
SHA1: a163c78e5084a9a36210b35b86b60da10722e8cd
SHA256: 9a20fa158f200a7ce48890c85616e724a5c048b7d47898ff819cb889c0a389e8
SHA512: 185fbabda7ee7c1f17dd4d7224cd0793a0a1f2b75e6d704733f92b89b2571c922ad8f37aee1f5c079cea88f5d9e362c368a7d3a5d43a6738188700ab9052991d
Homepage: https://cran.r-project.org/package=FedIRT
Description: CRAN Package 'FedIRT' (Federated Item Response Theory Models)
 Integrate Item Response Theory (IRT) and Federated Learning to estimate
 traditional IRT models, including the 2-Parameter Logistic (2PL) and the
 Graded Response Models, with enhanced privacy. It allows for the estimation
 in a distributed manner without compromising accuracy. A user-friendly
 'shiny' application is included.

Package: r-cran-fedregs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-xml2, r-cran-purrr, r-cran-rvest, r-cran-stringi, r-cran-httr, r-cran-tidyr, r-cran-tidytext
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fedregs_1.0.0-1.ca2004.1_all.deb
Size: 25344
MD5sum: 756ecc92eb6baf62e4bd3a4cc8dc7715
SHA1: c12af6cf5e9bd0ac19fe8eeee9f419933d60f155
SHA256: b6c66eb5a7629e1756c0d4748086a19aa6ee366e83b018dc853ac5b0057f5deb
SHA512: a7fbb8ac74e725f58580165f38d2fb9ceb8a535dde534c24ea089ae51770c522bb4c094ba85ad73eb69dde8bf508949e6272ff60951ff5b90ccc32d1cebe4037
Homepage: https://cran.r-project.org/package=fedregs
Description: CRAN Package 'fedregs' (Text Analysis of the US Code of Federal Regulations)
 The Code of Federal Regulations (CFR) annual edition is the codification of
 the general and permanent rules published in the Federal Register by the
 departments and agencies of the Federal Government of the United States of
 America. Simply, the 'fedregs' package facilitates word processing and
 sentiment analysis of the CFR using tidy principles. Note: According to the
 Code of Federal Regulations XML Rendition User Guide Document: "In general,
 there are no restrictions on re-use of information in Code of Federal
 Regulations material because U.S. Government works are not subject to
 copyright. OFR and GPO do not restrict downstream uses of Code of Federal
 Regulations data, except that independent providers should be aware that
 only the OFR and GPO are entitled to represent that they are the providers
 of the official versions of the Code of Federal Regulations and related
 Federal Register publications."

Package: r-cran-fedstatapir
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-readsdmx, r-cran-magrittr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-fedstatapir_1.0.3-1.ca2004.1_all.deb
Size: 629312
MD5sum: 7b03d2f5dcc9574d24491bfd1204ade4
SHA1: 0186b348e502126c86c9c4a569cdf46400751a34
SHA256: 6f7370915f44632adebb86554a9e9c2c537b0865dbc32bc03ede7847985e9ad7
SHA512: e188b010fc9cfa7f47f8488ec5f311d60d7a8c85a6dc230e9e50924283bf06c6ff9ad77e7ab959012337b01bde78563db80b5784bb870406c64a6fe3590c1e7a
Homepage: https://cran.r-project.org/package=fedstatAPIr
Description: CRAN Package 'fedstatAPIr' (Unofficial API for Fedstat (Rosstat EMISS System) for Automaticand Efficient Data Queries)
 An API for automatic data queries to the fedstat <https://www.fedstat.ru>,
 using a small set of functions with a common interface.

Package: r-cran-fedz1
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fedz1_0.1.0-1.ca2004.1_all.deb
Size: 261028
MD5sum: c1bc1b3014b84c04155b93068bb7dce5
SHA1: f49c0d4d4028eb7e0d797df64afb50c151c3400f
SHA256: d3abca7b9588c63cebf6db981aab68152996c740245cac13b41ed17e040a9d90
SHA512: 3250cc05a5206bc7177522bb5e0a56f1e4b6de95aa4f244d3c2036b3d38b0ff098b70bb5a3ffda5f124f999fac4a0cf610d3f89cf0a4c5ab7fc9337ed79fa319
Homepage: https://cran.r-project.org/package=fedz1
Description: CRAN Package 'fedz1' (An Easier Access to Financial Accounts of the United States(Z.1))
 Flow of funds are financial accounts that are provided by Federal Reserve
 quarterly. The package contains all datasets
 <https://www.federalreserve.gov/datadownload/Choose.aspx?rel=z1>, tables
 <https://www.federalreserve.gov/apps/fof/FOFTables.aspx> and descriptions
 <https://www.federalreserve.gov/apps/fof/Guide/z1_tables_description.pdf>
 with functions to understand series
 <https://www.federalreserve.gov/apps/fof/SeriesStructure.aspx> and explore
 them.

Package: r-cran-feedbackts
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maps, r-cran-mapdata, r-cran-proj4, r-cran-sp, r-cran-gstat, r-cran-automap
Filename: pool/dists/focal/main/r-cran-feedbackts_1.5-1.ca2004.1_all.deb
Size: 319020
MD5sum: db620605e54eb40f8776bc1e5212b720
SHA1: 941b7066d1a0c377520baebdcace1b0e521f4100
SHA256: a805c759c0014c255166664d1b34c972508216b2f7693abd42bb95fb76c0f5cf
SHA512: 5f5efc4eb304490fb57bd311d93e81f95c1fb24e08de8f8e72db7fdae720ae24394740dd4dc367640e888fdd3b80e4eba42a9253d0946027545d8666f129d40a
Homepage: https://cran.r-project.org/package=FeedbackTS
Description: CRAN Package 'FeedbackTS' (Analysis of Feedback in Time Series)
 Analysis of fragmented time directionality to investigate feedback in time
 series. Tools provided by the package allow the analysis of feedback for a
 single time series and the analysis of feedback for a set of time series
 collected across a spatial domain.

Package: r-cran-feisr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-plm, r-cran-rdpack, r-cran-dplyr
Suggests: r-cran-texreg, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-feisr_1.3.0-1.ca2004.1_all.deb
Size: 285940
MD5sum: 0e3fc2db01aeac647219a592bb9d8767
SHA1: ab68f082811fab5be4f266502eb6ec073880b6cc
SHA256: 52cb7bbe82e12c62667d54ec90f6965dbfe2d497effecfc0c894e666deb8b9a3
SHA512: da6508cd1ce395c899793b08af1c116bc5e8b6b2baaf9f67a6b7e290d925041d838283098a89b9dc755c9bfe22a8444e77aed52c11ad32d8f144bed6686ed493
Homepage: https://cran.r-project.org/package=feisr
Description: CRAN Package 'feisr' (Estimating Fixed Effects Individual Slope Models)
 Provides the function feis() to estimate fixed effects individual slope
 (FEIS) models. The FEIS model constitutes a more general version of the
 often-used fixed effects (FE) panel model, as implemented in the package
 'plm' by Croissant and Millo (2008) <doi:10.18637/jss.v027.i02>.  In FEIS
 models, data are not only person demeaned like in conventional FE models,
 but detrended by the predicted individual slope of each person or group.
 Estimation is performed by applying least squares lm() to the transformed
 data. For more details on FEIS models see Bruederl and Ludwig (2015,
 ISBN:1446252442); Frees (2001) <doi:10.2307/3316008>; Polachek and Kim
 (1994) <doi:10.1016/0304-4076(94)90075-2>; Ruettenauer and Ludwig (2020)
 <doi:10.1177/0049124120926211>; Wooldridge (2010, ISBN:0262294354). To test
 consistency of conventional FE and random effects estimators against
 heterogeneous slopes, the package also provides the functions feistest() for
 an artificial regression test and bsfeistest() for a bootstrapped version of
 the Hausman test.

Package: r-cran-fellov
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fellov_0.1-1.ca2004.1_all.deb
Size: 73096
MD5sum: 03d118f4f1d989b65df57684acd0a961
SHA1: e830b59750dc06ea1e7b2a5c599fa3b1d0999821
SHA256: ee380e608c4cdb7111e4d4234ea2c8dc26aa859bf583ae81b45c94ca90857867
SHA512: 6a03d545cc3b85f57c34a801f997e59b0f12c1f189013dccd8b626554f698ae31f557de23a36915bbb771455c3d0bbb57ffd9d8b66a9c250ad1e5a215b18a186
Homepage: https://cran.r-project.org/package=fellov
Description: CRAN Package 'fellov' (Feasible Ellipse Overlap)
 A small package for determining if n-dimensional ellipses overlap.

Package: r-cran-felp
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prettycode, r-cran-callr, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-htmltools, r-cran-magrittr, r-cran-matrixstats, r-cran-memoise, r-cran-miniui, r-cran-reactable, r-cran-rstudioapi, r-cran-rlang, r-cran-shiny, r-cran-stringi
Suggests: r-cran-knitr, r-cran-printr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-felp_0.6.0-1.ca2004.1_all.deb
Size: 84808
MD5sum: b25d6a126d8d52cb454f8fc9d5475f8b
SHA1: ddf9b06fbb430197f3a2fc4e6ef87d5cceafb583
SHA256: ce1574dd3fbd69660bf4faca08ab94f85e47206350425fc6bd8462a729d44a29
SHA512: b5d3a46cc3012149fae17285479411f6e3d983b2afd51ba00e855dfcf7921c1e7480d1f0142e15cc4222d260e9233c1c427b3c00ffaf4877d17dd5377d60cd40
Homepage: https://cran.r-project.org/package=felp
Description: CRAN Package 'felp' (Functional Help for Functions, Objects, and Packages)
 Enhance R help system by fuzzy search and preview interface, pseudo-postfix
 operators, and more.  The `?.` pseudo-postfix operator and the `?` prefix
 operator displays documents and contents (source or structure) of objects
 simultaneously to help understanding the objects.  The `?p` pseudo-postfix
 operator displays package documents, and is shorter than help(package =
 foo).

Package: r-cran-feltr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-fs, r-cran-geojsonsf, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-httptest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-feltr_0.0.4-1.ca2004.1_all.deb
Size: 140760
MD5sum: 212f42234206f55d665c5c13be826190
SHA1: cfd3b2e8a6f7db67fd5723d47ab9376731657a52
SHA256: e7643b6c1e4153d728cae3afde6b20a250f6db306cfabba0c4666f38ddc33f83
SHA512: d097a28c913f159a3e17e65fa0b568b18d769895927afb7cb0b8977dfbda4987f088b4368708288a5f9131744d95466a558d9ab5d5c0fc4802e7ff36b2210ea3
Homepage: https://cran.r-project.org/package=feltr
Description: CRAN Package 'feltr' (Access the Felt API)
 Upload, download, and edit internet maps with the Felt API
 (<https://feltmaps.notion.site/Felt-Public-API-reference-c01e0e6b0d954a678c608131b894e8e1>).
 Allows users to create new maps, edit existing maps, and extract data.
 Provides tools for working with layers, which represent geographic data, and
 elements, which are interactive annotations. Spatial data accessed from the
 API is transformed to work with 'sf'.

Package: r-cran-fence
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lme4, r-cran-ggplot2, r-cran-sae, r-cran-fields, r-cran-snowfall, r-cran-snow
Suggests: r-cran-pscl
Filename: pool/dists/focal/main/r-cran-fence_1.0-1.ca2004.1_all.deb
Size: 148256
MD5sum: 965990350218661c95742b507c4f889b
SHA1: d8a6d8d335ce67d946f7b77e2f52e1b0059897a9
SHA256: 4465ad3f3bbf4fa5d0010b4d17c89dba8b61808f6c7c06ee0b8607e396a7fef8
SHA512: 84d4ef69c76ca1c5db798db1bff23de3839d6ddb710e264d0aa98502edce06549dafa6976bc84663103f83dfb99da5a61d9f2a3b2b2a4267270d1bc0cf579e73
Homepage: https://cran.r-project.org/package=fence
Description: CRAN Package 'fence' (Using Fence Methods for Model Selection)
 This method is a new class of model selection strategies, for mixed model
 selection, which includes linear and generalized linear mixed models. The
 idea involves a procedure to isolate a subgroup of what are known as correct
 models (of which the optimal model is a member). This is accomplished by
 constructing a statistical fence, or barrier, to carefully eliminate
 incorrect models. Once the fence is constructed, the optimal model is
 selected from among those within the fence according to a criterion which
 can be made flexible.  References: 1. Jiang J., Rao J.S., Gu Z., Nguyen T.
 (2008), Fence Methods for Mixed Model Selection.  The Annals of Statistics,
 36(4): 1669-1692.  <DOI:10.1214/07-AOS517>
 <https://projecteuclid.org/euclid.aos/1216237296>.  2. Jiang J., Nguyen T.,
 Rao J.S. (2009), A Simplified Adaptive Fence Procedure.  Statistics and
 Probability Letters, 79, 625-629.  <DOI:10.1016/j.spl.2008.10.014>
 <https://www.researchgate.net/publication/23991417_A_simplified_adaptive_fence_procedure>
 3. Jiang J., Nguyen T., Rao J.S. (2010), Fence Method for Nonparametric
 Small Area Estimation.  Survey Methodology, 36(1), 3-11.
 <http://publications.gc.ca/collections/collection_2010/statcan/12-001-X/12-001-x2010001-eng.pdf>.
 4. Jiming Jiang, Thuan Nguyen and J. Sunil Rao (2011), Invisible fence
 methods and the identification of differentially expressed gene sets.
 Statistics and Its Interface, Volume 4, 403-415.
 <http://www.intlpress.com/site/pub/files/_fulltext/journals/sii/2011/0004/0003/SII-2011-0004-0003-a014.pdf>.
 5. Thuan Nguyen & Jiming Jiang (2012), Restricted fence method for covariate
 selection in longitudinal data analysis.  Biostatistics, 13(2), 303-314.
 <DOI:10.1093/biostatistics/kxr046>
 <https://academic.oup.com/biostatistics/article/13/2/303/263903/Restricted-fence-method-for-covariate-selection-in>.
 6. Thuan Nguyen, Jie Peng, Jiming Jiang (2014), Fence Methods for Backcross
 Experiments.  Statistical Computation and Simulation, 84(3), 644-662.
 <DOI:10.1080/00949655.2012.721885>
 <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891925/>.  7. Jiang, J.
 (2014), The fence methods, in Advances in Statistics, Hindawi Publishing
 Corp., Cairo.  <DOI:10.1155/2014/830821>.  8. Jiming Jiang and Thuan Nguyen
 (2015), The Fence Methods, World Scientific, Singapore.
 <https://www.abebooks.com/9789814596060/Fence-Methods-Jiming-Jiang-981459606X/plp>.

Package: r-cran-feprovider
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-poibin
Filename: pool/dists/focal/main/r-cran-feprovider_1.1-1.ca2004.1_all.deb
Size: 1101136
MD5sum: ff949a72b3375f37b5ae7628a722aa97
SHA1: cc143728919d94be7f0f307ae38e3a2332282674
SHA256: bc6c8aba7d745280bad85937240969f2b43bff2dcc6770bdb062c5df8176e9be
SHA512: f8ecd40cd371f67941a05b39d1dad049f6d46d2bb9d9cbb69f00aa94ee3c8f8cb45dde077f7b7686c21ef25330cd6a6944b4315f9c4073b7116ba34fd1afbffb
Homepage: https://cran.r-project.org/package=FEprovideR
Description: CRAN Package 'FEprovideR' (Fixed Effects Logistic Model with High-Dimensional Parameters)
 A structured profile likelihood algorithm for the logistic fixed effects
 model and an approximate expectation maximization (EM) algorithm for the
 logistic mixed effects model. Based on He, K., Kalbfleisch, J.D., Li, Y. and
 Li, Y. (2013) <doi:10.1007/s10985-013-9264-6>.

Package: r-cran-fer
Architecture: all
Version: 0.94-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fer_0.94-1.ca2004.1_all.deb
Size: 59156
MD5sum: e969145e4ffb5737690e5150d878789d
SHA1: 6be9b5405ff6ad6a14f113bdadb20377b26d85fb
SHA256: 9e8f8217cae897a159e4de6c135be550de7037d70e98a913f63f32cdf4f57556
SHA512: bd481e9e802e1a7d412de377aeccd7cf3b9d927bd631530af4d4a2ea8a8cacad23569b63193ffe29d7635964757f80541af3c2d9c2fec05d8135141c013db100
Homepage: https://cran.r-project.org/package=FER
Description: CRAN Package 'FER' (Financial Engineering in R)
 R implementations of standard financial engineering codes; vanilla option
 pricing models such as Black-Scholes, Bachelier, CEV, and SABR.

Package: r-cran-fergm
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3395
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-ggplot2, r-cran-ergm, r-cran-network, r-cran-extrafont, r-cran-matrixstats, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fergm_1.1.4-1.ca2004.1_all.deb
Size: 3357724
MD5sum: d1ce86dbd6d5a430235f1af2c1ccb30c
SHA1: 72dfd63646b2b46167a15507dd4e26766594d9ea
SHA256: faa64b8a0e11a135021ba2857e46d8802308f0600403a76a1a6ce0b0a98bd77c
SHA512: 2cbcfa8d1b9f07d3e757ac93c0861514da200fd9f7d4d0dcc8d5fcd1d4bf24fe0339c9cb45f4dece66cc9d2f6a7b5faee292646bb826e6d82a497b776642ac64
Homepage: https://cran.r-project.org/package=fergm
Description: CRAN Package 'fergm' (Estimation and Fit Assessment of Frailty Exponential RandomGraph Models)
 Frailty Exponential Random Graph Models estimated through pseudo likelihood
 with frailty terms estimated using 'Stan' as per Box-Steffensmeier et. al
 (2017) <doi:10.7910/DVN/K3D1M2>.  Goodness of fit for Frailty Exponential
 Random Graph Models is also available, with easy visualizations for
 comparison to fit Exponential Random Graph Models.

Package: r-cran-fermicatsr
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4047
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-fermicatsr_1.4-1.ca2004.1_all.deb
Size: 4096444
MD5sum: 5b4782fb490d12aed1443b6a3b6f8b97
SHA1: 8f51aecd8b6deb3fbd48755aa1bc91548a54c0e7
SHA256: 2f09694708d77e838e7d0488ee21aee5b8052286835ae3a0a02e53e7eca7d7a5
SHA512: bcf8e81f50b03c7481ff23a49d080d0aafd028b9ee0b50cb83bae965a9145f3624cb4e39a5fb195cab1ad09ef5c68e0ff3e5edc89ededa0d3857b3c8a7deb267
Homepage: https://cran.r-project.org/package=fermicatsR
Description: CRAN Package 'fermicatsR' (Fermi Large Area Telescope Catalogs)
 Data from various catalogs of astrophysical gamma-ray sources detected by
 NASA's Large Area Telescope (The Astrophysical Journal, 697, 1071, 2009 June
 1), on board the Fermi gamma-ray satellite. More information on Fermi and
 its data products is available from the Fermi Science Support Center
 (http://fermi.gsfc.nasa.gov/ssc/).

Package: r-cran-ferrn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1247
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-magrittr, r-cran-scales, r-cran-gganimate, r-cran-ggplot2, r-cran-tibble, r-cran-purrr, r-cran-tourr, r-cran-stringr, r-cran-ggrepel, r-cran-ggforce, r-cran-tidyr, r-cran-cli, r-cran-progress, r-cran-glue, r-cran-gpgp
Suggests: r-cran-roxygen2, r-cran-covr, r-cran-pkgdown, r-cran-testthat, r-cran-forcats, r-cran-patchwork, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-ferrn_0.1.0-1.ca2004.1_all.deb
Size: 1209688
MD5sum: 077f7619a71bfc58ff922125bcb9a93a
SHA1: d25ba45f0e0a14017043a4d7844e39276713bb47
SHA256: f907891f62c8b0f831303c7fcec64eeb7ee202f728d16b62804994e870698a86
SHA512: 50fe484553b0041cac1a70032bf7cb97205d927ebab1e83e5f746552677b42b7ddeed772996c20563045803c9b197290705fc396b00e8b33b2c6312c07cecd43
Homepage: https://cran.r-project.org/package=ferrn
Description: CRAN Package 'ferrn' (Facilitate Exploration of touRR optimisatioN)
 Diagnostic plots for optimisation, with a focus on projection pursuit. These
 show paths the optimiser takes in the high-dimensional space in multiple
 ways: by reducing the dimension using principal component analysis, and also
 using the tour to show the path on the high-dimensional space. Several
 botanical colour palettes are included, reflecting the name of the package.
 A paper describing the methodology can be found at
 <https://journal.r-project.org/archive/2021/RJ-2021-105/index.html>.

Package: r-cran-fertboot
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nls.multstart, r-cran-simpleboot
Filename: pool/dists/focal/main/r-cran-fertboot_0.5.0-1.ca2004.1_all.deb
Size: 52776
MD5sum: 4f752bbd192ca0757ffe69becc30077c
SHA1: ce20ec7e3c9d41b3f5f9eb508af312d99c44f608
SHA256: e87ef6a623fc0bb533a61621a56fb36f742898394bee807318864d94a6c14e70
SHA512: 35db6178de4fb0e5a4ffe1c9d9354f102fc58022a8819ce3a8f47be83e8481288d9f8ec554f6be04d6e79282650316bff9d4c8ff632462977ed12e8d6699bf38
Homepage: https://cran.r-project.org/package=FertBoot
Description: CRAN Package 'FertBoot' (Fertilizer Response Curve Analysis by Bootstrapping Residuals)
 Quantify variability (such as confidence interval) of fertilizer response
 curves and optimum fertilizer rates using bootstrapping residuals with
 several popular non-linear and linear models.

Package: r-cran-fertilmodel
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog
Suggests: r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-fertilmodel_1.4-1.ca2004.1_all.deb
Size: 34624
MD5sum: a0274ad13b11bd5bf8a29c8bc9da359b
SHA1: a0a3254359c77a340cf71985d2c5386a9440dd36
SHA256: 44543366cfa0cab980d92fa60ac0035f8a84338649be25c092e49cd97a605077
SHA512: ae2a15d091d8deda76e4dd937d169ed164df73c5a9094c62f501c545d9fbb16c9f8b57600598036705d984a2291a5fcb625209a54402a71e8247f5c3363f8700
Homepage: https://cran.r-project.org/package=fertilmodel
Description: CRAN Package 'fertilmodel' (Fertility Models)
 Four fertility models are fitted using non-linear least squares. These are
 the Hadwiger, the Gamma, the Model1 and Model2, following the terminology of
 the following paper: Peristera P. and Kostaki A. (2007). "Modeling fertility
 in modern populations". Demographic Research, 16(6): 141--194.
 <doi:10.4054/DemRes.2007.16.6>. Model based averaging is also supported.

Package: r-cran-fertnet
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-haven
Suggests: r-cran-testthat, r-cran-tidygraph
Filename: pool/dists/focal/main/r-cran-fertnet_0.1.2-1.ca2004.1_all.deb
Size: 156892
MD5sum: 1c1d7742e36983b30f5a0cc36b2cf99a
SHA1: 16260e7df8ce222219f7eb195156e4922342a97b
SHA256: e592ddd186ae040a82c3af1abfb57a6068082795d1cc3ebdc55a3fd44a02f205
SHA512: 77eab04888bc446f55b1ac0339da48ecbc5a083e9eb124bf9a606382a3cc13a4abe87347f301bc5d15cee0d99caa24c08b822b7322cd0abbce61fc883e38adb7
Homepage: https://cran.r-project.org/package=FertNet
Description: CRAN Package 'FertNet' (Process Data from the Social Networks and Fertility Survey)
 Processes data from The Social Networks and Fertility Survey, downloaded
 from <https://dataarchive.lissdata.nl>, including correcting respondent
 errors and transforming network data into network objects to facilitate
 analyses and visualisation.

Package: r-cran-festa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-festa_1.0.0-1.ca2004.1_all.deb
Size: 21244
MD5sum: eca2fdb954e3531e5ba706fd22971894
SHA1: e77ec155c6569a1a079aa39e191e22078ae6662b
SHA256: c9ac610083589ae2bd5b90f8be6d4e9c6b17c76c1fe399650f5a0a689fccddec
SHA512: 96ca7fb707f7c410761e28b3fff031f6488b1b3843ac8aaf8d6d49c1e15fcf75c6b2079c1a5cb75bea7e3459009711d50ed605b69cbfaf34c122c540cb55bf1c
Homepage: https://cran.r-project.org/package=FESta
Description: CRAN Package 'FESta' (Fishing Effort Standardisation)
 Original idea was presented in the reference paper. Varghese et al. (2020,
 74(1):35-42) "Bayesian State-space Implementation of Schaefer Production
 Model for Assessment of Stock Status for Multi-gear Fishery". Marine
 fisheries governance and management practices are very essential to ensure
 the sustainability of the marine resources. A widely accepted resource
 management strategy towards this is to derive sustainable fish harvest
 levels based on the status of marine fish stock. Various fish stock
 assessment models that describe the biomass dynamics using time series data
 on fish catch and fishing effort are generally used for this purpose. In the
 scenario of complex multi-species marine fishery in which different species
 are caught by a number of fishing gears and each gear harvests a number of
 species make it difficult to obtain the fishing effort corresponding to each
 fish species. Since the capacity of the gears varies, the effort made to
 catch a resource cannot be considered as the sum of efforts expended by
 different fishing gears. This necessitates standardisation of fishing effort
 in unit base.

Package: r-cran-fetch
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-common, r-cran-readr, r-cran-readxl, r-cran-haven, r-cran-crayon, r-cran-tibble, r-cran-foreign
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fetch_0.1.5-1.ca2004.1_all.deb
Size: 162488
MD5sum: f9367a8716e1f5b778d324c31ac9044b
SHA1: de42102bed8fb7d2bb2554739e39db4710262aa5
SHA256: cf82a646ca6acf52eb4dc810078f49e90ec3ae71fffff1f220ac0327806c5157
SHA512: b9ad66d390f4ca38786395db66b5b1e18302593d3789647f6c1e2cc27193ec58d028683ba9e683928042d697e36f3c27061aeb823b855b0b84ed4308bc3eac6e
Homepage: https://cran.r-project.org/package=fetch
Description: CRAN Package 'fetch' (Fetch Data from Various Data Sources)
 Contains functions to fetch data from various data sources.  The user first
 creates a catalog of objects from a data source, then fetches data from the
 catalog.  The package provides an easy way to access data from many
 different types of sources.

Package: r-cran-fetchgoogleanalyticsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-fetchgoogleanalyticsr_0.1.0-1.ca2004.1_all.deb
Size: 22440
MD5sum: a5781e60cc1ef770aa2e89933b3ec896
SHA1: fcec7d149cad23493d0ab40607a354b46e152d9e
SHA256: 0daa081c274d9b0f097428923d5a605f81f099f6f8d6e9524c2a596282590a41
SHA512: 78db60509ce2a8a2bb43692ed7c32fffb0521123e4a0be747c26c17ad58e86539ccb1d4f6f24d5327f1253a0108ff03c3322696afcf41c502f0996811fb25b94
Homepage: https://cran.r-project.org/package=fetchGoogleAnalyticsR
Description: CRAN Package 'fetchGoogleAnalyticsR' (Get Data from Google Analytics via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Google Analytics using
 the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-fetchsalesforcer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-fetchsalesforcer_0.1.0-1.ca2004.1_all.deb
Size: 22460
MD5sum: 61e96e8c227fbf51fd2147a4cf69c210
SHA1: e7cd8def44dddc7d9734e51cd08a6861de9e553f
SHA256: 1205b70de6e2ff7a35b8edd8ed7355508528ac03955c28b12d796221dcea16f1
SHA512: 39b47d7cb1ae035ee7d3b59270c35f8c9a3c4631e7fe1657300ef8840c3c5fb23cbc785062f7a5b88f84355634fa74d5ae319b1c7654e0389c96f1fa2a14d65b
Homepage: https://cran.r-project.org/package=fetchSalesforceR
Description: CRAN Package 'fetchSalesforceR' (Get Data from Salesforce via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Salesforce using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-fetwfe
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-expm, r-cran-glmnet, r-cran-grpreg, r-cran-matrix
Suggests: r-cran-bacondecomp, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fetwfe_1.0.0-1.ca2004.1_all.deb
Size: 204616
MD5sum: b90993b01d9e69e0812a657d186240e4
SHA1: df8f5ccc78c6e5a097ef54a36fe5b7a444747c94
SHA256: edce9adcd75b8ec5720fcfc548b64eafc451caf7a5fdb621fa913344ba2f84e5
SHA512: ef0503bb38bc13826ebf41b3cc9b3c254fcc4b4faca1469208e03cad7eb1242074cf1bbf11e0d975c9df8005f01fbfbb8064ec9960a24b5cf264fc441b5f4ecc
Homepage: https://cran.r-project.org/package=fetwfe
Description: CRAN Package 'fetwfe' (Fused Extended Two-Way Fixed Effects)
 Calculates the fused extended two-way fixed effects (FETWFE) estimator for
 unbiased and efficient estimation of difference-in-differences in panel data
 with staggered treatment adoption. This estimator eliminates bias inherent
 in conventional two-way fixed effects estimators, while also employing a
 novel bridge regression regularization approach to improve efficiency and
 yield valid standard errors. Provides flexible tuning parameters (including
 user-specified or data-driven choices for penalty parameters), detailed
 output including overall and cohort-specific treatment effects with
 confidence intervals, and extensive diagnostic tools. Also provides
 functions for generating simulated panel data formatted for estimating
 FETWFE, and running and evaluating simulations. See details in Faletto
 (2025) (<doi:10.48550/arXiv.2312.05985>).

Package: r-cran-fexoticoptions
Architecture: all
Version: 3042.80-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics, r-cran-foptions
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-fexoticoptions_3042.80-1.ca2004.1_all.deb
Size: 234564
MD5sum: 9dc38f2bef771d17e68c87d3cecb292e
SHA1: d4c6d630c0644f2b0e8a797a8e7688a6b0e5781e
SHA256: 8b2ef81d2541195f4155a20f74e02994c1de10f956ea161823c1ae3d3cc51aad
SHA512: f5992b436c3202f06e9f341d0bd6a5d4466d1e6bd71fe12eef22d1026278f3f523009c96d04dceaec19374474847e4707a457bcd23ffa597133af9679dc48243
Homepage: https://cran.r-project.org/package=fExoticOptions
Description: CRAN Package 'fExoticOptions' (Rmetrics - Pricing and Evaluating Exotic Option)
 Provides a collection of functions to evaluate barrier options, Asian
 options, binary options, currency translated options, lookback options,
 multiple asset options and multiple exercise options.

Package: r-cran-fexpresscertificates
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmvtnorm, r-cran-fcertificates, r-cran-mvtnorm, r-cran-matrix, r-cran-fexoticoptions, r-cran-foptions
Filename: pool/dists/focal/main/r-cran-fexpresscertificates_1.3-1.ca2004.1_all.deb
Size: 284624
MD5sum: 730b7d6d304d51a64253d7c64f0a3200
SHA1: 8e1248f4f05b57ba158cd192eefb639a10705df7
SHA256: fa1224c639250a786676d7c979a331bdc45dad1d428b81a625a22945c8ab8c74
SHA512: f09be507ef4a0908e126106dc4482ecb41cfcbe5880f17c1b68719df0f5fbab6fe85e7233503b0181380794a2f120d93649567326a1f9fc08a26e17c2399a13f
Homepage: https://cran.r-project.org/package=fExpressCertificates
Description: CRAN Package 'fExpressCertificates' (Structured Products Valuation forExpressCertificates/Autocallables)
 Provides pricing by duplication and Monte Carlo methods for Express
 Certificates products (also known as Autocallables).

Package: r-cran-fextremes
Architecture: all
Version: 4032.84-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 705
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fbasics, r-cran-fgarch, r-cran-timedate, r-cran-timeseries
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-fextremes_4032.84-1.ca2004.1_all.deb
Size: 565840
MD5sum: 879b777bdb2c8ff3ef25e0ad0ca513b4
SHA1: e642708146c308a715230ecd9db2306cd2e25789
SHA256: d86b8767c6d036738cf83fc14e03dc4cd4de242976d4057afec3fcf79cbf1f7a
SHA512: 5a1214cbf927f925a8d7ebf9b27726f3de1e406c96cf96c0c7ee572000019f602f8e0b6f9c3f5eb5b462defca1db49a19c9a1698249750cff6cdb7a4b5b6fc2d
Homepage: https://cran.r-project.org/package=fExtremes
Description: CRAN Package 'fExtremes' (Rmetrics - Modelling Extreme Events in Finance)
 Provides functions for analysing and modelling extreme events in financial
 time Series. The topics include: (i) data pre-processing, (ii) explorative
 data analysis, (iii) peak over threshold modelling, (iv) block maxima
 modelling, (v) estimation of VaR and CVaR, and (vi) the computation of the
 extreme index.

Package: r-cran-ffd
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1574
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r2html
Suggests: r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-ffd_1.0-9-1.ca2004.1_all.deb
Size: 1060960
MD5sum: b0d775ed45f1e6687834fd8fb4af547c
SHA1: 38512376fc15d333b735639bf0400901e5f35fad
SHA256: 28d899d6f78afcf4685cca0cc74ef541541e7bb585be5806ee8ca5ac21af8cee
SHA512: 16b68bd4511faae34884408a9b97f67aaed0e484101101abd6cf3c2f9b63497c21af41dc80968fba33984b00203582bf9540b5a55dfd69e3cb5108008ba7e436
Homepage: https://cran.r-project.org/package=FFD
Description: CRAN Package 'FFD' (Freedom from Disease)
 Functions, S4 classes/methods and a graphical user interface (GUI) to design
 surveys to substantiate freedom from disease using a modified hypergeometric
 function (see Cameron and Baldock, 1997,
 <doi:10.1016/s0167-5877(97)00081-0>). Herd sensitivities are computed
 according to sampling strategies "individual sampling" or "limited sampling"
 (see M. Ziller, T. Selhorst, J. Teuffert, M. Kramer and H. Schlueter, 2002,
 <doi:10.1016/S0167-5877(01)00245-8>). Methods to compute the a-posteriori
 alpha-error are implemented. Risk-based targeted sampling is supported.

Package: r-cran-ffdownload
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rvest, r-cran-xts, r-cran-xml2, r-cran-zoo, r-cran-plyr, r-cran-timetk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-viridis, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ffdownload_1.1.1-1.ca2004.1_all.deb
Size: 161708
MD5sum: dc0e21446389d40d966120b87c43dc5f
SHA1: eb6c32e4bbf7c666904867d86aa69aadc51a5b20
SHA256: 0dd722f1b937687267fa44d93d5466d3abfdc4d54d1b4b43075374ca28dd87b0
SHA512: d4838fbb552a212362c010bb0bd97596f0ecab2077eb221dc5d7f57007ba126a139259be121978601337558a4f1dc1efa32ab83c020d47c6c7a2df2483bc1362
Homepage: https://cran.r-project.org/package=FFdownload
Description: CRAN Package 'FFdownload' (Download Data from Kenneth French's Website)
 Downloads all the datasets (you can exclude the daily ones or specify a list
 of those you are targeting specifically) from Kenneth French's Website at
 <https://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>,
 process them and convert them to list of 'xts' (time series).

Package: r-cran-ffield
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-ffield_0.1.0-1.ca2004.1_all.deb
Size: 18432
MD5sum: 5521efb5013d2237d3170f972b80914a
SHA1: 0cbe779bbf97bc112020ef49f9caa895f4e46af2
SHA256: ac212b50b657860927e5675bf129e86f06f43f998e0d202b604cdeff20a74287
SHA512: 4832553caec33b8f9744533886c2f4faeb40ea46f2d6196a56f259f36df7d7bde896c623255d1e726d31b7078742a7f946ced1b00556f9d325d5455ced2a474d
Homepage: https://cran.r-project.org/package=FField
Description: CRAN Package 'FField' (Force field simulation for a set of points)
 Force field simulation of interaction of set of points.  Very useful for
 placing text labels on graphs, such as scatterplots.

Package: r-cran-fflr
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-fflr_2.3.0-1.ca2004.1_all.deb
Size: 296152
MD5sum: aa4b42656b44dc54adc2604b48ba1a1f
SHA1: b7bdc7ddaf5a3c5e066737f45e416d91a8191f00
SHA256: 2f56e7f068d590a2448f57f5c308b59481c48bb071dab597afdcb07673d47321
SHA512: 6b01bf48ba36c65569f9cd606985660be0add28ccce1cb63a7636837386c074b6fd27d7ccbff57c77450d70e456d54a2c17a12d393d6215fa7c056c99c8bc931
Homepage: https://cran.r-project.org/package=fflr
Description: CRAN Package 'fflr' (Retrieve ESPN Fantasy Football Data)
 Format the raw data from the ESPN fantasy football API
 <https://lm-api-reads.fantasy.espn.com/apis/v3/games/ffl> as data frames.
 Retrieve data on public leagues, rosters, athletes, and matches.

Package: r-cran-ffmanova
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-car, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ffmanova_1.1.2-1.ca2004.1_all.deb
Size: 193488
MD5sum: 362dbf5553a4f67f19c06697340d07fe
SHA1: e823f89b000eb45faddca96a6259f0342c5ec68d
SHA256: 946b3aa5298a46190d4af85da23cd26966cbd33b05760d41903ade0641a31aaa
SHA512: 728c61aa1fb3714669fc92345494d92bc6be3153f82048c4799ee6693bde0d3e8144c8da1f83609b133fcf6d634b9ed290326d825e2cfd1f0988d1745b0eaff6
Homepage: https://cran.r-project.org/package=ffmanova
Description: CRAN Package 'ffmanova' (Fifty-Fifty MANOVA)
 General linear modeling with multiple responses (MANCOVA). An overall
 p-value for each model term is calculated by the 50-50 MANOVA method by
 Langsrud (2002) <doi:10.1111/1467-9884.00320>, which handles collinear
 responses. Rotation testing, described by Langsrud (2005)
 <doi:10.1007/s11222-005-4789-5>, is used to compute adjusted single response
 p-values according to familywise error rates and false discovery rates
 (FDR). The approach to FDR is described in the appendix of Moen et al.
 (2005) <doi:10.1128/AEM.71.4.2086-2094.2005>. Unbalanced designs are handled
 by Type II sums of squares as argued in Langsrud (2003)
 <doi:10.1023/A:1023260610025>. Furthermore, the Type II philosophy is
 extended to continuous design variables as described in Langsrud et al.
 (2007) <doi:10.1080/02664760701594246>. This means that the method is
 invariant to scale changes and that common pitfalls are avoided.

Package: r-cran-ffmetadata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ffmetadata_1.0.0-1.ca2004.1_all.deb
Size: 26940
MD5sum: a085f39b1fba83f322944d527ee948ac
SHA1: 0435dbf075ffdc1f5192a1aada85a5f45c4990a9
SHA256: 250bbf36f6f39a27d686ec9c35b496cfd2089537cd9cb87de8a9a32a904ba44e
SHA512: de0a755b7409627ac241ef1eeae044d8de20316b1792816e5a66947f5eb1c97df78c6d1685fd8e8de03fda0e47c01f290f6626e183e8eee36177a474bc2697ce
Homepage: https://cran.r-project.org/package=ffmetadata
Description: CRAN Package 'ffmetadata' (Access to Fragile Families Metadata)
 A collection of functions that allows users to retrieve metadata for the
 Fragile Families challenge via a Web API
 (<http://api.metadata.fragilefamilies.princeton.edu>).  Users can select and
 search metadata for relevant variables by filtering on different attribute
 names.

Package: r-cran-ffp
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 700
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-forcats, r-cran-ggdist, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-mvtnorm, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-nloptr, r-cran-crayon, r-cran-nlcoptim
Suggests: r-cran-copula, r-cran-covr, r-cran-ghyp, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-xts
Filename: pool/dists/focal/main/r-cran-ffp_0.2.2-1.ca2004.1_all.deb
Size: 448152
MD5sum: dd8350e39196cd6029742ed8df632791
SHA1: a72ac44470dbb4ac6db8731c3226674cd8722f5a
SHA256: 6d516aa21adab036449d2686247dde6d6303b72e37a5c7b40412557ae3e75bbb
SHA512: 5dad6eed7c39c489ae5db23f872eb32f46b07f38d2ba56ef676bc02e0583226af9245ee1912552938676d828266eadace18aeb40c5a9417f96f1a53e314cceda
Homepage: https://cran.r-project.org/package=ffp
Description: CRAN Package 'ffp' (Fully Flexible Probabilities for Stress Testing and PortfolioConstruction)
 Implements numerical entropy-pooling for portfolio construction and scenario
 analysis as described in Meucci, Attilio (2008) and Meucci, Attilio (2010)
 <doi:10.2139/ssrn.1696802>.

Package: r-cran-ffscrapr
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 856
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cachem, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-nflreadr, r-cran-memoise, r-cran-purrr, r-cran-rappdirs, r-cran-ratelimitr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-curl, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ffscrapr_1.4.8-1.ca2004.1_all.deb
Size: 458004
MD5sum: 4231205790cbc0743b50273e32d5963d
SHA1: f0406bb44dfa312a3696b6084a9cd7b83bfbb093
SHA256: 601843958c84042268c18f7870f074326baf38b065858e190dca29116617a7ea
SHA512: 6aa84f15a094df0a25a8c3ac34b82369c33c31bffc4f7b1765aa34d74b2f28c9e0e4abbccfce50cd394a06f43a46f6c50cb6f8ba1eecf8112d7a90d7414ec9a1
Homepage: https://cran.r-project.org/package=ffscrapr
Description: CRAN Package 'ffscrapr' (API Client for Fantasy Football League Platforms)
 Helps access various Fantasy Football APIs by handling authentication and
 rate-limiting, forming appropriate calls, and returning tidy dataframes
 which can be easily connected to other data sources.

Package: r-cran-ffsimulator
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3684
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-ffscrapr, r-cran-glue, r-cran-magrittr, r-cran-nflreadr, r-cran-rglpk, r-cran-rlang, r-cran-tidytable
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggridges, r-cran-knitr, r-cran-progressr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ffsimulator_1.2.3-1.ca2004.1_all.deb
Size: 3413032
MD5sum: 3e9547a0ae681f82c5262cf6659b36b3
SHA1: 997d9b4419f543e0e37e3e8af99a11baa7469de3
SHA256: f9004ddac4986cc91dbcf10c6ede9d7cd43be91056e59ba6d9b60ad617462d3a
SHA512: 7fcb597bf8bcc8c8501346a813e33f62e3c6615e789f3881eb07fb4a7b285d87d9ab9a9a24a6933ec11ed65b5ae315fc573ae16d65b5f0e2ceeb5215ed59e890
Homepage: https://cran.r-project.org/package=ffsimulator
Description: CRAN Package 'ffsimulator' (Simulate Fantasy Football Seasons)
 Uses bootstrap resampling to run fantasy football season simulations
 supported by historical rankings and 'nflfastR' data, calculating optimal
 lineups, and returning aggregated results.

Package: r-cran-fftab
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggfortify, r-cran-patchwork, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-fftab_0.1.0-1.ca2004.1_all.deb
Size: 271576
MD5sum: 9d7b5718298cee89631f46792b7a99d8
SHA1: 17a9c7460971782dafe5dbbd58e10cbef32948c1
SHA256: 044edd06305c8e8540a3bacc8a17eb4f3c6d8f2eb078031c9a0e1918fef39d18
SHA512: 895684b22f1e2ba156dd2db150a0dd29e358dbedc54b0c3a89fc1ccc9a1ea1d17aad1cccbdc7c1ed2154a305ab614e1884916fc2efe59ce22117c6cc0fa25c4f
Homepage: https://cran.r-project.org/package=fftab
Description: CRAN Package 'fftab' (Tidy Manipulation of Fourier Transformed Data)
 The 'fftab' package stores Fourier coefficients in a tibble and allows their
 manipulation in various ways. Functions are available for converting between
 complex, rectangular ('re', 'im'), and polar ('mod', 'arg') representations,
 as well as for extracting components as vectors or matrices. Inputs can
 include vectors, time series, and arrays of arbitrary dimensions, which are
 restored to their original form when inverting the transform. Since 'fftab'
 stores Fourier frequencies as columns in the tibble, many standard
 operations on spectral data can be easily performed using tidy packages like
 'dplyr'.

Package: r-cran-fftrees
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4889
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-rpart, r-cran-randomforest, r-cran-e1071, r-cran-cli, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-scales, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fftrees_2.0.0-1.ca2004.1_all.deb
Size: 3443452
MD5sum: ca4818cf776781d50f2f1a335839ca68
SHA1: 31bfb17ad3ce5cd8c4e16b51f5aa3d11b6a07d9d
SHA256: cf2dabdaf2e95102d61cbb3dd224ca73ed6d2d0e9eaa8ce9b0adc975a2b53e83
SHA512: 7a2a19f664693b41a1a18d12284ac00b4ba3faf6a1bf8f9df99805e46d48b5db623ceb1cb182fe6cd580ad9558e18037de3295c6632d8d9d082bce011ac3e6b2
Homepage: https://cran.r-project.org/package=FFTrees
Description: CRAN Package 'FFTrees' (Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees)
 Create, visualize, and test fast-and-frugal decision trees (FFTs) using the
 algorithms and methods described by Phillips, Neth, Woike & Gaissmaier
 (2017), <doi:10.1017/S1930297500006239>.  FFTs are simple and transparent
 decision trees for solving binary classification problems.  FFTs can be
 preferable to more complex algorithms because they require very little
 information, are easy to understand and communicate, and are robust against
 overfitting.

Package: r-cran-fgac
Architecture: all
Version: 0.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fgac_0.6-1-1.ca2004.1_all.deb
Size: 126224
MD5sum: 9f3f71f4be201b9b6ff5ac4c14772117
SHA1: 9afdb507e19d4f7a9c2ae53218f80bff81cf831b
SHA256: cf7e572a125e41c6f7a71e5ad316856fc2594ce400431d5123e4e807b320b23a
SHA512: 945fea2ea4187b6ad5052157eb475900604b0e7bb8b830c7b68caec5cd4e6ada428a07ed0d31b6b98ff96c1729df0252ae6b8fe27b3487e775fef7b362df8024
Homepage: https://cran.r-project.org/package=fgac
Description: CRAN Package 'fgac' (Generalized Archimedean Copula)
 Bi-variate data fitting is done by two stochastic components: the marginal
 distributions and the dependency structure. The dependency structure is
 modeled through a copula. An algorithm was implemented considering seven
 families of copulas (Generalized Archimedean Copulas), the best fitting can
 be obtained looking all copula's options (totally positive of order 2 and
 stochastically increasing models).

Package: r-cran-fgalgorithm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fgalgorithm_1.0-1.ca2004.1_all.deb
Size: 18656
MD5sum: c4f5a5632c15549fcd024127a4eb6f8f
SHA1: 69044c72d099244130631a5c0f9e21ec81f560a6
SHA256: 3eb58a20693284337502c79a26f3ffabe71d381a23951d62a8b1b8c8aec9fc19
SHA512: ab3dbcb309c94205d73f54ca10e1f6d4f84d92ca764fed62f04cb7913f1ddad8f4ed8718f2653f0dd5b8e8f2f515e346895420f50871d87c5bbc9334a4579c14
Homepage: https://cran.r-project.org/package=FGalgorithm
Description: CRAN Package 'FGalgorithm' (Flury and Gautschi algorithms)
 This is a package for implementation of Flury-Gautschi algorithms.

Package: r-cran-fgdr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-jpmesh, r-cran-magrittr, r-cran-purrr, r-cran-raster, r-cran-readr, r-cran-sf, r-cran-stars, r-cran-stringr, r-cran-terra, r-cran-tibble, r-cran-units, r-cran-xml2
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgdr_1.1.1-1.ca2004.1_all.deb
Size: 416780
MD5sum: 4682bee4c36fd50c98baa9484391dad1
SHA1: 1b78be3a7689f4174ea36dd0389bf2492e5ad0fe
SHA256: ab06300f439a8f098ca82a47917db81b1471e5d778e8eb229939930493e28983
SHA512: ebbbebc56edfc4c44810ade76683900b04af3db3f62616d0a90bfdde1b8c7626adc2b7a132503cbe93a20155a443ab9730d1fd2ce14038a27ec020f4f97a8e29
Homepage: https://cran.r-project.org/package=fgdr
Description: CRAN Package 'fgdr' (Utilities for Fundamental Geo-Spatial Data)
 Read and Parse for Fundamental Geo-Spatial Data (FGD) which downloads XML
 file from providing site (<https://fgd.gsi.go.jp/download/menu.php>). The
 JPGIS format file provided by FGD so that it can be handled as an R spatial
 object such as 'sf' and 'raster', 'terra' or 'stars'.  Supports the FGD
 version 4.1, and accepts fundamental items and digital elevation models.

Package: r-cran-fgeo.analyze
Architecture: all
Version: 1.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fgeo.tool, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-covr, r-cran-fgeo.plot, r-cran-fgeo.x, r-cran-ggplot2, r-cran-knitr, r-cran-measurements, r-cran-readr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgeo.analyze_1.1.15-1.ca2004.1_all.deb
Size: 143604
MD5sum: c545853956d7347336a8104906e7d1f0
SHA1: eddc4e1d771b030deeea4206bf799f28ac0e92bb
SHA256: 658641edd63caa77ea88c9929af8fc75410aba1fd3ababf55c88daceed330714
SHA512: d10076143f83cf58109b44978acb0bbe241a0c97d6347108146936ed8ebf3e1438a2a4b7a72716a063406fa6298a288b142e8d460628c964fc29ca97f2aa8368
Homepage: https://cran.r-project.org/package=fgeo.analyze
Description: CRAN Package 'fgeo.analyze' (Analyze ForestGEO Data)
 To help you access, transform, analyze, and visualize ForestGEO data, we
 developed a collection of R packages (<https://forestgeo.github.io/fgeo/>).
 This package, in particular, helps you to implement analyses of plot species
 distributions, topography, demography, and biomass. It also includes a torus
 translation test to determine habitat associations of tree species as
 described by Zuleta et al. (2018) <doi:10.1007/s11104-018-3878-0>. To learn
 more about ForestGEO visit <https://forestgeo.si.edu/>.

Package: r-cran-fgeo.plot
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-fgeo.tool, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-covr, r-cran-fgeo.analyze, r-cran-fgeo.x, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgeo.plot_1.1.11-1.ca2004.1_all.deb
Size: 409720
MD5sum: 0e9aa428979e628dde9ff52c508b6bea
SHA1: f4eefe6f17957b4c94eb6a3d3d9978cb10a44cd4
SHA256: 68e8e769f175c99a03a32f9332cfbcb6e9b475fc12cab5f8d15d63e9f9754540
SHA512: 398616a358c6341c22de85cacd882928d7814aeab9b579f80beb2a2f5332f04d0690d97ceee3919464228f82abe58823b2194d7bcf6be438d4fd496ce3c75fc3
Homepage: https://cran.r-project.org/package=fgeo.plot
Description: CRAN Package 'fgeo.plot' (Plot ForestGEO Data)
 To help you access, transform, analyze, and visualize ForestGEO data, we
 developed a collection of R packages (<https://forestgeo.github.io/fgeo/>).
 This package, in particular, helps you to plot ForestGEO data. To learn more
 about ForestGEO visit <https://forestgeo.si.edu/>.

Package: r-cran-fgeo.tool
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-fgeo.x, r-cran-knitr, r-cran-roxygen2, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-fgeo.tool_1.2.10-1.ca2004.1_all.deb
Size: 175088
MD5sum: 0e44461c55b3962b3ef714e20e800705
SHA1: 2ec7b6ca5d978a32dfe0e000a97b94e7f1622ed6
SHA256: 13c347bfa7c15cab1d5b4769436999463df5b4412ac63db6512b16f5091ca303
SHA512: 4e8aa45f61fa021db85cb7bd3b46b76a4d7144461c5406bf603b248b8d61413f34ee36ef69fde402203388467158eb93a75674208592919d133440b7aa739b75
Homepage: https://cran.r-project.org/package=fgeo.tool
Description: CRAN Package 'fgeo.tool' (Import and Manipulate 'ForestGEO' Data)
 To help you access, transform, analyze, and visualize 'ForestGEO' data, we
 developed a collection of R packages (<https://forestgeo.github.io/fgeo/>).
 This package, in particular, helps you to easily import, filter, and modify
 'ForestGEO' data. To learn more about 'ForestGEO' visit
 <https://forestgeo.si.edu/>.

Package: r-cran-fgeo.x
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-memoise
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgeo.x_1.1.4-1.ca2004.1_all.deb
Size: 164816
MD5sum: 2e70f1b92545416110064813e2da6c2b
SHA1: 44aa66368db88acedcd066246e13dbb0a1f9969f
SHA256: 346caa74ebbb57042f14f9f840b9b9fe99983cbaf81f831d6559c07b99d90499
SHA512: 8a18d60efe96e03832ab0c22c60eed33cb5fad21fc6d9017c2624beec672c871f1b1e9f235d25566840ecc3e5ce8204fc37098e14cbbbf6dd163191c9b19e031
Homepage: https://cran.r-project.org/package=fgeo.x
Description: CRAN Package 'fgeo.x' (Access Small ForestGEO Datasets For Examples)
 Access small example datasets from Luquillo, a ForestGEO site in Puerto Rico
 (<https://forestgeo.si.edu/sites/north-america/luquillo>).

Package: r-cran-fgeo
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-fgeo.analyze, r-cran-fgeo.plot, r-cran-fgeo.tool, r-cran-fgeo.x, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-dt, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgeo_1.1.4-1.ca2004.1_all.deb
Size: 294692
MD5sum: b38aa2066ab72b8fe2950834587797e7
SHA1: 64683ad71ef7241461ec5b5c7a1e8648aadcb919
SHA256: e8b771f1f5c797c4ec6266c28fc76ea8b89c72b6839b2016c714dfa41fe2e81a
SHA512: 5382332ab7fdc9345d2621757b0c881ebbf125c8d2ad51f20f4408bdd40aaaa6c815ca2688ddfe206d76087794cc201f6078961e62a57a4195167a8be3d8d997
Homepage: https://cran.r-project.org/package=fgeo
Description: CRAN Package 'fgeo' (Analyze Forest Diversity and Dynamics)
 To help you access, transform, analyze, and visualize ForestGEO data, we
 developed a collection of R packages (<https://forestgeo.github.io/fgeo/>).
 This package, in particular, helps you to install and load the entire
 package-collection with a single R command, and provides convenient ways to
 find relevant documentation. Most commonly, you should not worry about the
 individual packages that make up the package-collection as you can access
 all features via this package. To learn more about ForestGEO visit
 <http://www.forestgeo.si.edu/>.

Package: r-cran-fgitr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-devtools, r-cran-git2r
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgitr_0.2.0-1.ca2004.1_all.deb
Size: 38392
MD5sum: 8a56f8f75efabd5b10f763af2e0b3865
SHA1: 7fcc28e37fdc35c64ce48e91eb0907b14412246e
SHA256: a652479c05790effd178e65c127999c6342c0a3486cf4ce774c1cdfe2be0d27f
SHA512: 02ac97d8bc67b515c79a5f51f53eac9a8506ce1dab59713806a21a2a92a0085a9c99e410405f73e68692d32d741fcff5ace0eac14e6f79c03327475aef8f26be
Homepage: https://cran.r-project.org/package=fgitR
Description: CRAN Package 'fgitR' (Using 'FastGit' to Accelerate the Access to 'GitHub')
 'FastGit' <https://doc.fastgit.org/> works like a mirror of 'GitHub' to make
 significant acceleration. 'fgitR' is a package to do git operation with
 'FastGit' automatically.

Package: r-cran-fglsnet
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-network, r-cran-sna, r-cran-matrixcalc, r-cran-matrix, r-cran-mass, r-cran-sandwich, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-fglsnet_1.1-1.ca2004.1_all.deb
Size: 77316
MD5sum: 0026318145f444b9e34d8fcddd5d9580
SHA1: fc5ed0599ecc4e95cdc4fb06e52e494f3c7fbeb0
SHA256: 10527e37b4de1aab9d396b3ba690da36d8558ce2d91d1190e36b979154a95f1f
SHA512: 55e6c30a4b14f177b9c73a7d0d6c7bf2f8c0b09d690b276b308464840f7a8c79309f9e65a888303862291959990a8470c292a6d6120c515c5f7276a779500aab
Homepage: https://cran.r-project.org/package=fglsnet
Description: CRAN Package 'fglsnet' (A Feasible Generalized Least Squares Estimator for RegressionAnalysis of Outcomes with Network Dependence)
 The function estimates a multivariate regression model for outcomes with
 network dependence.

Package: r-cran-fgm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jgl, r-cran-fdapace
Suggests: r-cran-mvtnorm, r-cran-fda, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fgm_1.0-1.ca2004.1_all.deb
Size: 30580
MD5sum: f3c3433e394538cfaa92096d0e64acea
SHA1: 454e3ffecc7e62b5a5a266721bf02954935b3b7e
SHA256: 3b605609012df0d249e84be7f76126b0910f2cc610e0c9163671c8ec514f39ec
SHA512: 87cf3960e8775af2a68dad751ee89bf66b2d39a7481dbe1de07aa2afe1a1a21bc3b841ab31ecbbe5add57fb49a2da466ed4f748ab96925debb26c466fcb69caf
Homepage: https://cran.r-project.org/package=fgm
Description: CRAN Package 'fgm' (Partial Separability and Functional Gaussian Graphical Models)
 Estimates a functional graphical model and a partially separable
 Karhunen-Loève decomposition for a multivariate Gaussian process. See Zapata
 J., Oh S. and Petersen A. (2019) <arXiv:1910.03134>.

Package: r-cran-fgmutils
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sqldf, r-cran-stringr, r-cran-plyr, r-cran-data.table, r-cran-devemf, r-cran-png, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fgmutils_0.9.5-1.ca2004.1_all.deb
Size: 235252
MD5sum: 1097092008c2c7bd105cb0b3270e6b9d
SHA1: 37efe6628e461848c6215909667ed09bb3613f52
SHA256: af787abc14c1df201d5d4abed38aac19308f78ee049daeaf9dc58a99ceb7efd0
SHA512: ac54c1bb6c1bf527db3cd0e5bec6c1e3ced3fdc224607719aa372d477cbb79e03086eed93c5adf688dce97e5378dc58e1420273cc325e0b30c90b724343adc66
Homepage: https://cran.r-project.org/package=Fgmutils
Description: CRAN Package 'Fgmutils' (Forest Growth Model Utilities)
 Growth models and forest production require existing data manipulation and
 the creation of new data, structured from basic forest inventory data. The
 purpose of this package is provide functions to support these activities.

Package: r-cran-fgpt
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2799
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fgpt_2.3-1.ca2004.1_all.deb
Size: 2553480
MD5sum: c27f59af03499a59e9bf22ce233ce54c
SHA1: 2657057c6b14bf8d82ce50ffebb714f4f36c86cb
SHA256: 65d90a4490a91c76198fb0e1450d52772b57610097270f17d8a8de83f01cbc4a
SHA512: 36fe1041f0d1c13fbabcf1b6054f5065d36a493fc676fa7b6627b5216c82c691e6a87b893de59644807a81186f9b389a34ab09ee7246170eeb8f0a91bb30214f
Homepage: https://cran.r-project.org/package=fgpt
Description: CRAN Package 'fgpt' (Floating Grid Permutation Technique)
 A permutation technique to explore and control for spatial autocorrelation.
 This package contains low level functions for performing permutations and
 calculating statistics as well as higher level functions. Higher level
 functions are an easy to use function for performing spatially restricted
 permutation tests and summarize and plot results.

Package: r-cran-fgrepo
Architecture: all
Version: 1.3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5071
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fgrepo_1.3.2.0-1.ca2004.1_all.deb
Size: 5159164
MD5sum: 00760ab010f0b8b671848ded8440900e
SHA1: d2d9363078d5ed09bd09a0c0d64f6e37a733373f
SHA256: ee7fcc8dace99a7cb921c935770c6a36fa710269fe2043359026811bf48f727f
SHA512: b50461871210e4693705a0f7620df0739d43ffb211a3a8e5380301e3bd1806b298048a78a90e3c072c5e2b5cfaed30fa37cdfa5cbf8db53b02f87f54e68ce594
Homepage: https://cran.r-project.org/package=FGRepo
Description: CRAN Package 'FGRepo' (Functional Genomics Repository for POST-GWAS Analysis)
 A collection of datasets essential for functional genomic analysis. Gene
 names, gene positions, cytoband information, sourced from Ensembl and
 phenotypes association graph prepared from GWAScatalog are included. Data is
 available in both GRCh37 and 38 builds. These datasets facilitate a wide
 range of genomic studies, including the identification of genetic variants,
 exploration of genomic features, and post-GWAS functional analysis.

Package: r-cran-fgui
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fgui_1.0-8-1.ca2004.1_all.deb
Size: 439036
MD5sum: 51bd728988f77f3d2cdc9b3bb01f2970
SHA1: ce001f8012d54a65ff8e009011c940dc2b061020
SHA256: 69da3ed8e41a597e08b361df047fcf48eec421da341c57c5a2165db19df2908f
SHA512: a0d067a301dc07cbccc649dbff6be72866467a166586b8fffc47e13c8c0c029e66447e5bdd531238300b0b57ffe3512e5888780067eaf75b7cb26a8857f6a734
Homepage: https://cran.r-project.org/package=fgui
Description: CRAN Package 'fgui' (Function GUI)
 Rapidly create a GUI interface for a function you created by automatically
 creating widgets for arguments of the function. Automatically parses help
 routines for context-sensitive help to these arguments. The interface
 essentially a wrapper to some Tcl/Tk routines to both simplify and
 facilitate GUI creation. More advanced Tcl/Tk routines/GUI objects can be
 incorporated into the interface for greater customization for the more
 experienced.

Package: r-cran-fhircrackr
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-stringr, r-cran-httr, r-cran-data.table, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fhircrackr_2.3.0-1.ca2004.1_all.deb
Size: 643468
MD5sum: bacece725aae88282ad3008b9c131c60
SHA1: e03299a7da11472ae9ce55d2cbd63a407a50422f
SHA256: a9e5c6457af80ef9c9f4eea588a34147cf8e9e1c276573e6ab6eff2da386168d
SHA512: a258b890d3138ef8a33c6896163b426236358412b5c6b93eedcfb4202ebe8d9e2a49160add0b2baac97b00c51dfd3fbdbf458692cf37c793300b3081daac5264
Homepage: https://cran.r-project.org/package=fhircrackr
Description: CRAN Package 'fhircrackr' (Handling HL7 FHIR® Resources in R)
 Useful tools for conveniently downloading FHIR resources in xml format and
 converting them to R data.frames. The package uses FHIR-search to download
 bundles from a FHIR server, provides functions to save and read xml-files
 containing such bundles and allows flattening the bundles to data.frames
 using XPath expressions. FHIR® is the registered trademark of HL7 and is
 used with the permission of HL7. Use of the FHIR trademark does not
 constitute endorsement of this product by HL7.

Package: r-cran-fhtest
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-interval, r-cran-kmsurv, r-cran-survival, r-cran-perm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fhtest_1.5.1-1.ca2004.1_all.deb
Size: 131448
MD5sum: 88020897f45b4f395875328818e8a6e8
SHA1: 061d9d84442cb7fb719898159aa763bbee2f031f
SHA256: 3a4a1336cd22a2336e4af19bff2a6fc9937b5f533b477d47ad9af142222a10af
SHA512: 4066d1409d45dabe73e2c1adfe76b575467a5d37d606b518c6322987a63ea57fdaa62068783890c163f499a845a4e79baed10ec8b020fceeff8131e87885bf5f
Homepage: https://cran.r-project.org/package=FHtest
Description: CRAN Package 'FHtest' (Tests for Right and Interval-Censored Survival Data Based on theFleming-Harrington Class)
 Functions to compare two or more survival curves with: a) The
 Fleming-Harrington test for right-censored data based on permutations and on
 counting processes.  b) An extension of the Fleming-Harrington test for
 interval-censored data based on a permutation distribution and on a score
 vector distribution.

Package: r-cran-fi
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fi_1.1-1.ca2004.1_all.deb
Size: 20028
MD5sum: 45340ba3b0c7a28c497b8e418c9104a6
SHA1: 987da8fdf0be10d7a39d668287d9b4cce3c56690
SHA256: 9fa25ee686689d785cfb9c41688b51ad385231d3252b2e96ad5c1ce2156dfe55
SHA512: ac9f849c293c3923777c40805fd8549e80920cd73ec9932d3398194de90ba0566b805fd9076ccfeedec2bdd775d867d91954b92b37d0b6b7e3a9588b9e93b0a7
Homepage: https://cran.r-project.org/package=FI
Description: CRAN Package 'FI' (Provide Functions for Forest Inventory Calculations)
 Provide functions for forest inventory calculations. Common volumetric
 equations (Smalian, Newton and Huber) as well stacking factor and form.

Package: r-cran-fibos
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fs, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-reticulate, r-cran-glue
Filename: pool/dists/focal/main/r-cran-fibos_2.0.1-1.ca2004.1_all.deb
Size: 40324
MD5sum: 892bc1811bff69ed5da4fd8363a7f135
SHA1: ee45fd7aa10ed90797b510b046ae523fecfc62d3
SHA256: 8b36e6c57e395f607386ed5071b9214729f929585574a3e44e0f9e95512fdc4f
SHA512: ccdfe526b847d209006ea2a2b90968929134b0f2a74aa81e168b73da414bc9400c18dd0d51d7a092795f794f5cff3811ae8314ac6279d48289dadbb564ad7a00
Homepage: https://cran.r-project.org/package=fibos
Description: CRAN Package 'fibos' (Occlusion Surface Using the Occluded Surface and FibonacciOccluded Surface)
 The Occluded Surface (OS) algorithm is a widely used approach for analyzing
 atomic packing in biomolecules as described by Pattabiraman N, Ward KB,
 Fleming PJ (1995) <doi:10.1002/jmr.300080603>. Here, we introduce 'fibos',
 an 'R' and 'Python' package that extends the 'OS' methodology, as presented
 in Soares HHM, Romanelli JPR, Fleming PJ, da Silveira CH (2024)
 <doi:10.1101/2024.11.01.621530>.

Package: r-cran-fic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-mvtnorm, r-cran-ggplot2, r-cran-scales, r-cran-survival, r-cran-tensor, r-cran-abind, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-msm, r-cran-flexsurv, r-cran-sn, r-cran-gapminder, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-fic_1.0.1-1.ca2004.1_all.deb
Size: 1028188
MD5sum: 4cbe58916836a8c137376dc836446900
SHA1: f90bdd9f1d997699257fd202601ac15ade1be1da
SHA256: 9118afcbc249cea9b41953a07f4dba0f07de089189adf58b4cf08407014ed06a
SHA512: b8aad97fb8d79808142d142ab50de009d8a7b965cc824a51b5794a27befb88729cd82ba272f14e5b99114de7a007d49960eade6d583ec2cf1a717299ecb010af
Homepage: https://cran.r-project.org/package=fic
Description: CRAN Package 'fic' (Focused Information Criteria for Model Comparison)
 Compares how well different models estimate a quantity of interest (the
 "focus") so that different models may be preferred for different purposes.
 Comparisons within any class of models fitted by maximum likelihood are
 supported, with shortcuts for commonly-used classes such as generalised
 linear models and parametric survival models.  The methods originate from
 Claeskens and Hjort (2003) <doi:10.1198/016214503000000819> and Claeskens
 and Hjort (2008, ISBN:9780521852258).

Package: r-cran-fidelius
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1060
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-askpass, r-cran-fs, r-cran-htmltools, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-sodium, r-cran-whisker
Filename: pool/dists/focal/main/r-cran-fidelius_0.0.2-1.ca2004.1_all.deb
Size: 143676
MD5sum: 6c18c5c68055691d629ee38d7adc737e
SHA1: dea7b82a259e902fb877228bb5c6c49b6aa8560e
SHA256: e5f389220932f8cdda594b3f44b2fbe6a61c64796a02782486fec864e5659be5
SHA512: 443a29943d8df8668d4d590f1d52c8efbc88765740d21199d1625c3d3fe3f000790916cc26960f0ab41a4f488dc354939770d5f22736457be62cad2331612a4a
Homepage: https://cran.r-project.org/package=fidelius
Description: CRAN Package 'fidelius' (Browser-Side Password-Protected HTML Documents)
 Create secure, encrypted, and password-protected static HTML documents that
 include the machinery for secure in-browser authentication and decryption.

Package: r-cran-fieldhub
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4780
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-golem, r-cran-shiny, r-cran-htmltools, r-cran-dt, r-cran-shinythemes, r-cran-dplyr, r-cran-numbers, r-cran-blocksdesign, r-cran-shinycssloaders, r-cran-ggplot2, r-cran-plotly, r-cran-viridis, r-cran-shinyalert, r-cran-desplot, r-cran-shinyjs
Suggests: r-cran-testthat, r-cran-spelling, r-cran-rlang, r-cran-glue, r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fieldhub_1.4.2-1.ca2004.1_all.deb
Size: 3865256
MD5sum: 1cc9286c6f4b8171727aceb3f3fdd703
SHA1: dfefd732940c7bb5d476b8700e9974841bafb8b4
SHA256: fc05bef5d901381ff287442742fc87428f49f3d3538e026257f9cb675ca1192d
SHA512: fa87c256df9c59c20dd6315406ddcaad341b8e0c46334ead9c02ca7d1597fc921a3622845a3778f6f1430a292300f39a0f506cec74f2c6d7c0b076c42d9f2e39
Homepage: https://cran.r-project.org/package=FielDHub
Description: CRAN Package 'FielDHub' (A Shiny App for Design of Experiments in Life Sciences)
 A shiny design of experiments (DOE) app that aids in the creation of
 traditional, un-replicated, augmented and partially-replicated designs
 applied to agriculture, plant breeding, forestry, animal and biological
 sciences.

Package: r-cran-fieldrs
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2804
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-caret, r-cran-ggplot2, r-cran-geosphere, r-cran-vegan, r-cran-rgeos, r-cran-stringdist, r-cran-concaveman
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-imager, r-cran-randomforest, r-cran-rgdal, r-cran-rstoolbox, r-cran-foreign, r-cran-maptools
Filename: pool/dists/focal/main/r-cran-fieldrs_0.2.3-1.ca2004.1_all.deb
Size: 1581292
MD5sum: c8b09151badeace16e0748fd2b640686
SHA1: d21f76ed0a4f035b14166fe3f8103d24217ec844
SHA256: 3f95dc472688ce5536d40b552b0a06bc1fdff99cc9dc59acee472dd3fbafd92a
SHA512: 122426e871c5a3d9801c2172b608e0c7cf01b2a6d4be1d25f1aaa0c5fe5d9277f2ecea683c07aeb9ea3ce2b0982493407ee32da00e67876aaa2752705de9afff
Homepage: https://cran.r-project.org/package=fieldRS
Description: CRAN Package 'fieldRS' (Remote Sensing Field Work Tools)
 In remote sensing, designing a field campaign to collect ground-truth data
 can be a challenging task. We need to collect representative samples while
 accounting for issues such as budget constraints and limited accessibility
 created by e.g. poor infrastructure. As suggested by Olofsson et al. (2014)
 <doi:10.1016/j.rse.2014.02.015>, this demands the establishment of
 best-practices to collect ground-truth data that avoid the waste of time and
 funds. 'fieldRS' addresses this issue by helping scientists and
 practitioners design field campaigns through the identification of priority
 sampling sites, the extraction of potential sampling plots and the
 conversion of plots into consistent training and validation samples that can
 be used in e.g. land cover classification.

Package: r-cran-fieldsim
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-fieldsim_3.2.1-1.ca2004.1_all.deb
Size: 202260
MD5sum: de9466b5339e585b3ecf3e66de2b3e0f
SHA1: 103e3969ebe07be77f63e5aac3db1e47cf6269a8
SHA256: 948d586268b0413cd7fe00213d362a3ea136feb6a93646c31a8750b9a30f0bfb
SHA512: 6d6aef14bfdd76c9ba2962bd888a25fd347e7151ecb5f7348e2f29005b30a5b09aa8fde9a41a0d8e9f5e5817c2aa3c348d34ef30161984633d0bbf780f88e597
Homepage: https://cran.r-project.org/package=FieldSim
Description: CRAN Package 'FieldSim' (Random Fields (and Bridges) Simulations)
 Tools for random fields and bridges simulations.

Package: r-cran-fieldsimr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2445
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-interp, r-cran-lattice, r-cran-matrix, r-cran-mbend, r-cran-cluster, r-cran-rcolorbrewer
Suggests: r-cran-alphasimr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fieldsimr_1.4.0-1.ca2004.1_all.deb
Size: 588048
MD5sum: 63400080f212c2fc9f1847ffd8a2f976
SHA1: 513689aec1374810add3a431ec0810265aec78d1
SHA256: b2137fc89bc673df2be29348d0ce265153d48ebcad936159828e7ba9c16d87ee
SHA512: 1e9ee4ed270521dea39ab8d4a80a2c2eb1dfa428430625aa59e3cefb6860ec99b553c088994180494229a9af81a5b59573f682280deee2a16bf328c54ed7d43a
Homepage: https://cran.r-project.org/package=FieldSimR
Description: CRAN Package 'FieldSimR' (Simulation of Plot Errors and Phenotypes in Plant Breeding FieldTrials)
 Simulates plot data in multi-environment field trials with one or more
 traits.  Its core function generates plot errors that capture spatial trend,
 random error (noise), and extraneous variation, which are combined at a
 user-defined ratio.  Phenotypes can be generated by combining the plot
 errors with simulated genetic values that capture genotype-by-environment
 (GxE) interaction using wrapper functions for the R package `AlphaSimR`.

Package: r-cran-fiery
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-future, r-cran-glue, r-cran-httpuv, r-cran-later, r-cran-parallelly, r-cran-r6, r-cran-reqres, r-cran-rlang, r-cran-stringi, r-cran-uuid
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fiery_1.2.1-1.ca2004.1_all.deb
Size: 366116
MD5sum: dc41d8be5ee8ce5cdc1c34d5f76d5f0b
SHA1: 4d85a727c9631b628d3f5292ed66c0285e7a279f
SHA256: 2c1d0748b92f45b44e3a055c5c011aecfba9968aa11ca11c4ad9f49af6dca1f8
SHA512: ba7964c4d3024c3953c19c25758959317bbfa8d0eb07ac8f1a36374ff69293c8ba7a4f3c702d9f891a447a5a747e784d6f73bb4123793dbe83a686c8b791be77
Homepage: https://cran.r-project.org/package=fiery
Description: CRAN Package 'fiery' (A Lightweight and Flexible Web Framework)
 A very flexible framework for building server side logic in R. The framework
 is unopinionated when it comes to how HTTP requests and WebSocket messages
 are handled and supports all levels of app complexity; from serving static
 content to full-blown dynamic web-apps. Fiery does not hold your hand as
 much as e.g. the shiny package does, but instead sets you free to create
 your web app the way you want.

Package: r-cran-fiesta
Architecture: all
Version: 3.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9868
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-fiestautils, r-cran-gdalraster, r-cran-rsqlite, r-cran-sf, r-cran-sqldf
Suggests: r-cran-knitr, r-cran-terra, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fiesta_3.7.1-1.ca2004.1_all.deb
Size: 7270696
MD5sum: b493decde9f38c5faf7c70105918a519
SHA1: e19340c81ae00f3f3c70aac60fbc6d2be61c0f34
SHA256: f705aa961d2c41e35d3d2e402fb50a4a0f746e099181f3812f0965c324723af7
SHA512: 55f34e092af10e4680c6c2fe470c2b66207e9864cfed06a282eabdc9b4abbfaed3dfe41cc0554bf5f1f6cb916bf639f606f2cf40937e17ffa4f33ffac8315936
Homepage: https://cran.r-project.org/package=FIESTA
Description: CRAN Package 'FIESTA' (Forest Inventory Estimation and Analysis)
 A research estimation tool for analysts that work with sample-based
 inventory data from the U.S. Department of Agriculture, Forest Service,
 Forest Inventory and Analysis (FIA) Program.

Package: r-cran-fig
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-fig_1.0.0-1.ca2004.1_all.deb
Size: 84100
MD5sum: f942135e245ef820a85f197d4dd74f8d
SHA1: a5ee72e067bf5500bbf15256f5fb4572c1a9b786
SHA256: 5f35e8573c46c21c2c12f925587c10beed8d818760b4ef1d761974ea315ff853
SHA512: 53619dab4fa0579fad6f9caa8daf00184094582c89fb8b5a6a82ddfdbb033483cfb09fe0a620c5141e6007e12197280e4053e5eed05d775ad83f0284ae6e431d
Homepage: https://cran.r-project.org/package=fig
Description: CRAN Package 'fig' (A Config Package with No "Con")
 Work with configs with a source precedence. Either create own R6 instance or
 work with convenient functions at a package level.

Package: r-cran-figir
Architecture: all
Version: 0.1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-figir_0.1.7.0-1.ca2004.1_all.deb
Size: 26684
MD5sum: ca4d8c58bec39906857464637c94dcc6
SHA1: ba49488604765f654e9c66cf596103ecf3147a95
SHA256: eb62126ac5620e258dc72b277a46685cb29a0baa8a8389467678766cafb8bff8
SHA512: 71cd91b35fd379f533b4f05bd5fb3039ef506c791baa9773d5bd0ace430eafdf3a78e14eb01f72d34d0a6978f00fa351fc58d2319f5e68a19b00e785ecfc099b
Homepage: https://cran.r-project.org/package=figir
Description: CRAN Package 'figir' (Check Validity of FIGI, CUSIP, ISIN, SEDOL)
 With the functions in this package you can check the validity of the
 following financial instrument identifiers: FIGI (Financial Instrument
 Global Identifier <https://www.openfigi.com/about/figi>), CUSIP (Committee
 on Uniform Security Identification Procedures
 <https://www.cusip.com/identifiers.html#/CUSIP>), ISIN (International
 Securities Identification Number
 <https://www.cusip.com/identifiers.html#/ISIN>), SEDOL (Stock Exchange Daily
 Official List
 <https://www2.lseg.com/SEDOL-masterfile-service-tech-guide-v8.6>).  You can
 also calculate the FIGI checksum of 11-character strings, which can be
 useful if you want to create your own FIGI identifiers.

Package: r-cran-figma
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-usethis, r-cran-emoji, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-figma_0.2.0-1.ca2004.1_all.deb
Size: 265568
MD5sum: cac566fdfe8ef7702e8245ef8a78410b
SHA1: 8b9725b82b1b6ad2bc48184b0f5e756976db0b0d
SHA256: 570062f0217705294cf9343c3e5f07eb9969dcfb91808de274a6c8e4855b9523
SHA512: 6b912ca46201c975e58c61f44d78de4f313f7e03634ed6130c9aaa3d8be59b8db85aa0f0fa0cb40b530150a627cdf7e0afa9132458a61b83defb5cc35fe2a5f2
Homepage: https://cran.r-project.org/package=figma
Description: CRAN Package 'figma' (Web Client/Wrapper to the 'Figma API')
 An easy-to-use web client/wrapper for the 'Figma API'
 <https://www.figma.com/developers/api>.  It allows you to bring all data
 from a 'Figma' file to your 'R' session. This includes the data of all
 objects that you have drawn in this file, and their respective canvas/page
 metadata.

Package: r-cran-figpatch
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2716
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-magick, r-cran-magrittr, r-cran-patchwork
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-figpatch_0.3.0-1.ca2004.1_all.deb
Size: 2657036
MD5sum: 2e9922c3d80963ed087dbc63864bc16d
SHA1: 95ce18ade711913f12a2554ab4cfe2cb64ea8e52
SHA256: 09ec0f780e2f704a5c545447152abb8d437e8f16034df4b52f90dbdc10a0c6eb
SHA512: dee39dd06825c7143e5a28489b7a175bc9c4e61371361773470d7c638650b31f2ddd1654113c8d3a259009332f037540724cf43fe2c19f903f3aecc001c81a90
Homepage: https://cran.r-project.org/package=figpatch
Description: CRAN Package 'figpatch' (Easily Arrange External Figures with Patchwork Alongside'ggplot2' Figures)
 For including external figures into an assembled {patchwork}. This enables
 the creation of more complex figures that include images alongside plots.

Package: r-cran-figures2
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-ggplot2, r-cran-scales, r-cran-stringr, r-cran-plyr, r-cran-gridextra, r-cran-gtable, r-cran-reshape2
Suggests: r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-latex2exp
Filename: pool/dists/focal/main/r-cran-figures2_1.0.0-1.ca2004.1_all.deb
Size: 879644
MD5sum: 08178b0fbbd787c426fdfcf9fb649a2b
SHA1: 2fd35995de166881e6f60cea9bf992fb2e0af775
SHA256: f95968f12c3fc4e71019ae3f716bb9d76df28bd0b839c48b9499bf3517029c7e
SHA512: 08cc39fa79ebf9f532c6006224238bb4bca9ce7bceab4f7e38ae0d8d8163e90cb80d6c7dd61dd97a0f961138503ac72af9cc29c66417fe044255a16d07fe5649
Homepage: https://cran.r-project.org/package=figuRes2
Description: CRAN Package 'figuRes2' (Support for a Variety of Figure Production Tasks)
 We view a figure as a collection of graphs/tables assembled on a page and
 optionally annotated with metadata (titles, headers and footers). Functions
 and supporting documentation are offered to streamline a variety of figure
 production task.

Package: r-cran-file2meco
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-microeco, r-cran-ape, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-yaml, r-bioc-rhdf5, r-cran-matrix
Suggests: r-bioc-biostrings, r-cran-seqinr, r-bioc-phyloseq, r-cran-readxl, r-bioc-summarizedexperiment, r-bioc-treesummarizedexperiment
Filename: pool/dists/focal/main/r-cran-file2meco_0.9.1-1.ca2004.1_all.deb
Size: 871696
MD5sum: 109bc38d0b761d471e85cab6007b3be0
SHA1: 73b8ce7c3d495ae1ef3af73c3b061c0056e4db65
SHA256: a4793d996e5b203527a806be89da6ce00ffcfac131cfb1cbb1cba0c7170f28ea
SHA512: 59148766b15ce0fbb4ba64d9b58b77f7964d68ad6f1273911068a909f71f87ab59d2142bc606a93eb1e74556599e2fee325d615772c1c0e7dc1a8f8cf711c4a6
Homepage: https://cran.r-project.org/package=file2meco
Description: CRAN Package 'file2meco' (Transform Files to 'microtable' Object with 'microeco' Package)
 Transform output files of some tools to the 'microtable' object of
 'microtable' class in 'microeco' package. The 'microtable' class is the
 basic class in 'microeco' package and is necessary for the downstream
 microbial community data analysis.

Package: r-cran-filebin
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-logger, r-cran-purrr, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-reticulate, r-cran-spelling, r-cran-stevedore, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-filebin_0.0.6-1.ca2004.1_all.deb
Size: 84116
MD5sum: 4a9561808ddf17f5eea08ac6f313d3ec
SHA1: 2fe18cf7f0be765aa4cec521de0b8c84b5fa3181
SHA256: bcd5cdfe30caf2c24dd911ab454189376f0e18c42b6eb34412b35b1b2e0c2b05
SHA512: c0a5ed9148c5a62170714403e9c155cc51b093169bb57342bed4caa6b18920237238614297542fee1bf52cff79f1d2a797f764d7885a6bc4616d0cf322a85bd7
Homepage: https://cran.r-project.org/package=filebin
Description: CRAN Package 'filebin' (Wrapper for the Filebin File Sharing API)
 A wrapper for the Filebin API. Filebin implements convenient file sharing on
 the web.

Package: r-cran-filecacher
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cachem, r-cran-glue, r-cran-here, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-arrow, r-cran-data.table, r-cran-readr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-filecacher_0.2.9-1.ca2004.1_all.deb
Size: 46696
MD5sum: e949cb71f241e3ddc27ed0f20ab0fab5
SHA1: bde3be5d5c4eb1fa9b03a2af8c8fff896872d332
SHA256: f43b43d92f30d6f77d85f0c8521d532fcfb25e8e6709e38026463c81596fe9ad
SHA512: 520788054f06c6489b249a8c99e2b11be667f440440d11d521b7c9865620bccee7d0dbbb92e65dfc834d8217902a3a7b52538259d8b223cd608016d24300d2b6
Homepage: https://cran.r-project.org/package=filecacher
Description: CRAN Package 'filecacher' (File Cacher)
 The main functions in this package are with_cache() and cached_read().  The
 former is a simple way to cache an R object into a file on disk, using
 'cachem'. The latter is a wrapper around any standard read function, but
 caches both the output and the file list info. If the input file list info
 hasn't changed, the cache is used; otherwise, the original files are
 re-read. This can save time if the original operation requires reading from
 many files, and/or involves lots of processing.

Package: r-cran-filehashsqlite
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-filehash, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-filehashsqlite_0.2-7-1.ca2004.1_all.deb
Size: 154116
MD5sum: 30c0ed28ff3be553b1b84d33509ad747
SHA1: 872e9dcf25f0052fbb3eab6f4b864ff3f05eca0b
SHA256: 9a85d2ae9f4e458412b51811af9bb0cc074cd285bb31df44788af87a9a9e6052
SHA512: 57644c4dd2870daf61ceec7fb805f57c8b791c75dbabaf70505ee47480b25bb75d558015ac75f0579a05fcbb124d7ebae324e3c3aac43d4000a1dd554da67b57
Homepage: https://cran.r-project.org/package=filehashSQLite
Description: CRAN Package 'filehashSQLite' (Simple Key-Value Database using SQLite)
 Simple key-value database using SQLite as the backend.

Package: r-cran-filematrix
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-filematrix_1.3-1.ca2004.1_all.deb
Size: 458568
MD5sum: 42f7746c85702911fc9d56a835784442
SHA1: 9a43e15326044f867f529107ad8b80605b174f25
SHA256: 14091af8eae4bb2a93e52c594a5bade07a5a4b7a0894da22b0eb30700cdc317f
SHA512: 3117ff703247bf7d729855a4e92784a1760cc2f205b05fe950f0280e1a82fadcf06ca1985c4439ac9fdf1336129d7d99203b78786a9428fb4224a3f67a253e6a
Homepage: https://cran.r-project.org/package=filematrix
Description: CRAN Package 'filematrix' (File-Backed Matrix Class with Convenient Read and Write Access)
 Interface for working with large matrices stored in files, not in computer
 memory. Supports multiple non-character data types (double, integer, logical
 and raw) of various sizes (e.g. 8 and 4 byte real values).  Access to parts
 of the matrix is done by indexing, exactly as with usual R matrices.
 Supports very large matrices.  Tested on multi-terabyte matrices.  Allows
 for more than 2^32 rows or columns.  Allows for quick addition of extra
 columns to a filematrix.  Cross-platform as the package has R code only.

Package: r-cran-filenamer
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-io, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-filenamer_0.3-1.ca2004.1_all.deb
Size: 54148
MD5sum: 67f2824f93e53b04932e55ce20438fdf
SHA1: 5202b2231fe6bd0a3df331dff6d295d63d9c2805
SHA256: e084e28d5438f9bf106b9809f327fad1b25975dabd53858c72001031faa81e2f
SHA512: 430c478e2c19a65b386ca97ccc62da6f2f10e0863e1827501b8f252e088e1e521caec151394165c1a546c71365ef127cd279b44ed4973799323877345802872d
Homepage: https://cran.r-project.org/package=filenamer
Description: CRAN Package 'filenamer' (Easy Management of File Names)
 Create descriptive file names with ease. New file names are automatically
 (but optionally) time stamped and placed in date stamped directories.
 Streamline your analysis pipeline with input and output file names that have
 informative tags and proper file extensions.

Package: r-cran-files
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-files_0.0.1-1.ca2004.1_all.deb
Size: 12440
MD5sum: bc5c7325bb69950210cd86a53a435e3f
SHA1: 6c2346b4cb45c07a1f6a2e7938430e07e84be111
SHA256: 6ace097fa541b6f3c9930e98e99d6098cced2d9a8af8362a2566a00c254b8b13
SHA512: d1a968f7329447ec367346be83bd98679f5fa6c2fdd5544ccdc74c0b7d81e63774f29d5f6b826856c09406744f8cc27e6445ab5c4026aee37be0a5adbe814658
Homepage: https://cran.r-project.org/package=files
Description: CRAN Package 'files' (Effective File Navigation from the R Console)
 Functions for printing the contents of a folder as columns in a
 ragged-bottom data.frame and for viewing the details (size, time created,
 time modified, etc.) of a folder's top level contents.

Package: r-cran-filesstrings
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-checkmate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-strex, r-cran-stringi, r-cran-withr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-filesstrings_3.4.0-1.ca2004.1_all.deb
Size: 121032
MD5sum: c4f26cce347c24f5ba2894979a0ba0a8
SHA1: ab09a2fdabd5586aed2f59bb580b9616512847ed
SHA256: 410cb27be2b2f3a65591f0e9987c37caa332153ec2c1f337f9f0d0d4131c6807
SHA512: c2b4bf8a5a62b13ff37bc014e5edb949662105b25d3ad4f06c123b88cf6ee072eef9fcb19c55c7ac8eb5cbee3913301ef8e9d7ccf0223b414bc1c8edbd607ee5
Homepage: https://cran.r-project.org/package=filesstrings
Description: CRAN Package 'filesstrings' (Handy File and String Manipulation)
 This started out as a package for file and string manipulation.  Since then,
 the 'fs' and 'strex' packages emerged, offering functionality previously
 given by this package (but it's done better in these new ones).  Those
 packages have hence almost pushed 'filesstrings' into extinction.  However,
 it still has a small number of unique, handy file manipulation functions
 which can be seen in the vignette.  One example is a function to remove
 spaces from all file names in a directory.

Package: r-cran-filest
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kris, r-cran-rarpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-filest_1.1.2-1.ca2004.1_all.deb
Size: 55844
MD5sum: 65da8708e651da3b2684f7b268980d93
SHA1: 87276af94d79778843e925e7b9aea28e0594591d
SHA256: f623ee4ab00b233c43863a21a99843ad4694a7ffbe7924d0ba544faf025c5da4
SHA512: dc70003eae1de065b95f6d2e3c1769e64e17c9416097702e4ac95c91fa880378d7ceab72eb7e7f41074974c926a8b87e57f616632edcf9a073d998c1f684ad0e
Homepage: https://cran.r-project.org/package=FILEST
Description: CRAN Package 'FILEST' (Fine-Level Structure Simulator)
 A population genetic simulator, which is able to generate synthetic datasets
 for single-nucleotide polymorphisms (SNP) for multiple populations. The
 genetic distances among populations can be set according to the Fixation
 Index (Fst) as explained in Balding and Nichols (1995)
 <doi:10.1007/BF01441146>. This tool is able to simulate outlying individuals
 and missing SNPs can be specified. For Genome-wide association study (GWAS),
 disease status can be set in desired level according risk ratio.

Package: r-cran-filibustr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-haven, r-cran-httr2, r-cran-lifecycle, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-filibustr_0.4.0-1.ca2004.1_all.deb
Size: 80680
MD5sum: db08c6176b08f72eef601ba968410c77
SHA1: 1f7089791e07b4851d032cc101b2133aff6f3b05
SHA256: 5ef03bf9e5322d0dd2535e9960be2e38664ccadf531362a1fb575d44cc1c0374
SHA512: 091c96b0830267b1cfdbbf831ab3628055ca443215580ae413765280f52594509b19b74289dad8e92f7617a56e8440c32391514bb6a99cfe96910215088bd33e
Homepage: https://cran.r-project.org/package=filibustr
Description: CRAN Package 'filibustr' (Data Utilities for Congressional Research)
 Provides easy-to-understand and consistent interfaces for accessing data on
 the U.S. Congress. The functions in 'filibustr' streamline the process for
 importing data on Congress into R, removing the need to download and work
 from CSV files and the like. Data sources include 'Voteview'
 (<https://voteview.com/>), the U.S. Senate website
 (<https://www.senate.gov/>), and more.

Package: r-cran-fillpattern
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-ragg, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fillpattern_1.0.2-1.ca2004.1_all.deb
Size: 329360
MD5sum: 43e4d16b1e20af5167471b117b6d8658
SHA1: 46e9cc85298be19834b95116f68a0b73b86cff28
SHA256: 5186443916c316e82056f855471f2ddfa9de8f2ad3c4dc7e0e308cc7b550a982
SHA512: 48535ada92055fc4df5631ed3a6a65e490ce0d65460dbd964e7e0d2b9fb72c470315c93418bee941864a5725a98390ca3689e4df2ad98c9463ffd14b1b9e87b0
Homepage: https://cran.r-project.org/package=fillpattern
Description: CRAN Package 'fillpattern' (Patterned Fills for 'ggplot2' and 'grid' Graphics)
 Adds distinctive yet unobtrusive geometric patterns where solid color fills
 are normally used. Patterned figures look just as professional when viewed
 by colorblind readers or when printed in black and white. The dozen included
 patterns can be customized in terms of scale, rotation, color, fill, line
 type, and line width. Compatible with the 'ggplot2' package as well as
 'grid' graphics.

Package: r-cran-fillr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fillr_1.0.0-1.ca2004.1_all.deb
Size: 36852
MD5sum: b706eecb23e244d648f41c9ffbd03e72
SHA1: 5864afdb8df6b41936652fffe1a95e8e37a4a0d3
SHA256: 7e8bac0dc7a44332613adf236a96da72db4edbcd3ab6d326ad68cc32fad6f08f
SHA512: bbccf6e08cb2337ea1c0938e36371ce864920b9d518eda133cce6bc2654caec13c6eb679de9e71ba24620eb9d28ba7c524fca8b23779da5d68929fc78e1c1c8a
Homepage: https://cran.r-project.org/package=fillr
Description: CRAN Package 'fillr' (Fill Missing Values in Vectors)
 Edit vectors to fill missing values, based on the vector itself.

Package: r-cran-filmsgmoog
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1783
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-filmsgmoog_0.1.0-1.ca2004.1_all.deb
Size: 1795600
MD5sum: ae6a55dd663d66e8ed7d0100409ea15f
SHA1: 56b6cab95e359c1a5de9df054daae80d3ad8d398
SHA256: 59f4ffc5540d23e12f1f65a73bf7948508dbcc9d4764a19512e173363e689978
SHA512: df563c99f19825d9ce6b161296bb7684aa9c1ee615172ab0f9e8e5d8acfca1264d1e1a97b4bd1586bfbe73608b2c55207e1b1a86da0786d7c746ec63a16e2990
Homepage: https://cran.r-project.org/package=FilmsGmooG
Description: CRAN Package 'FilmsGmooG' (IMDb Film Ratings from the Summer of 2022)
 Average rating and number of votes reported by IMDb for films and shorts
 with over 100 votes in 2022.  The data are analysed in Chapter 3 of the Book
 'Getting (more out of) Graphics' (Antony Unwin, CRC Press 2024).

Package: r-cran-filterjsats
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3809
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broman, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr, r-cran-rerddap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-filterjsats_1.0-1.ca2004.1_all.deb
Size: 3562076
MD5sum: 7cf232627608c7f57f6834646af4e652
SHA1: f3639d85efcae917f35229c50c6a43b1c970e1cf
SHA256: 4122e488482d1008aa62fedf776bee6975aa6581faf0b4fdf0bc27d6d5a64071
SHA512: 939357b2cd1121c72c53c5d6c439ba25a5b273025c71065839ade3c4075d569aa513dce2cc884bf3129fbef51e1619de3c90279fd34eca8768decb22137ba2a1
Homepage: https://cran.r-project.org/package=filteRjsats
Description: CRAN Package 'filteRjsats' (Filter Raw JSATS Acoustic Telemetry Files from Lotek, ATS,Teknologic)
 Filtering of raw acoustic telemetry transmissions from three acoustic
 telemetry companies (ATS, Lotek, Teknologic). The filtering steps check for
 false positives caused by reflected transmissions from surfaces and false
 pings from other noise generating equipment. The filter is unique for each
 technology type. The package was written in concert with the Interagency
 Telemetry Advisory Group (iTAG) and makes use of the JSATS California Fish
 Tracking Database: <https://oceanview.pfeg.noaa.gov/CalFishTrack/>.

Package: r-cran-filternhp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.tree, r-cran-shiny, r-cran-shinywidgets, r-cran-shinyjs, r-cran-shinybs, r-cran-rclipboard
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-filternhp_0.1.2-1.ca2004.1_all.deb
Size: 699828
MD5sum: 13c192990fd25ef78084ca7237e137b9
SHA1: 8255a36fa95d4b5ed2c977e0f210291a10990488
SHA256: 6e166691d96506e89afb6042aede8d645f5452ec852a775163cf5d7a55e98e9a
SHA512: b3c36f0d7b0d894b5bbdd5546524a50ce9e3b9212f65101feb684137c2b94cc5e5cc87534f7aebdea47e84a14d54c487c66893050c42b3d5d3ea8a69a382a724
Homepage: https://cran.r-project.org/package=filterNHP
Description: CRAN Package 'filterNHP' (Non-Human Primate Search Filters)
 Generate search filters to query scientific bibliographic sources, such as
 PubMed and Web of Science, for non-human primate related publications.

Package: r-cran-filters
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-plyr, r-cran-yaml
Suggests: r-cran-dplyr, r-cran-random.cdisc.data, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-filters_0.3.1-1.ca2004.1_all.deb
Size: 52712
MD5sum: 1f56d28865dd234dd135fe9a4144cce5
SHA1: 4964fe18fc4b052fc3580862f718fa862e164d17
SHA256: 75cba99fca87156ec6cd930fffa8a556f899dc10c21ee3f80d5058c88014c004
SHA512: dfc98ae3ee0faa12432a889e211d02d8c4d09870d78623a6e95f2c80ed1838cc9ad0d9a50d52e5bd67c8e7ec029be23c5f2cd6dd63c289e5a4517233c6edb2fb
Homepage: https://cran.r-project.org/package=filters
Description: CRAN Package 'filters' (A "Snake_case" Filter System for R)
 Enables filtering datasets by a prior specified identifiers which correspond
 to saved filter expressions.

Package: r-cran-fimport
Architecture: all
Version: 4041.88-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-timedate, r-cran-timeseries
Suggests: r-cran-runit, r-cran-rvest, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-fimport_4041.88-1.ca2004.1_all.deb
Size: 410796
MD5sum: 62e333022057a3f8368c6fdddccecfd7
SHA1: 10a1cd8ab816168d28a04460e684193099c8a70b
SHA256: 381803633838d5db672dd36d44203b3394210d0ce5642ca3dee402fa0ad27a97
SHA512: d9236b27f2e54de6d649684630f1928136ca4ec202d82e42ccb2fa5f99615ad40ca79292f60ae5d73ebdfd9f1da284281afb74a8053945fff49d3c684cd39c79
Homepage: https://cran.r-project.org/package=fImport
Description: CRAN Package 'fImport' (Rmetrics - Importing Economic and Financial Data)
 Provides a collection of utility functions to download and manage data sets
 from the Internet or from other sources.

Package: r-cran-finalfit
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5615
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bdsmatrix, r-cran-boot, r-cran-broom, r-cran-dplyr, r-cran-forcats, r-cran-ggally, r-cran-ggplot2, r-cran-gridextra, r-cran-lme4, r-cran-magrittr, r-cran-mice, r-cran-pillar, r-cran-proc, r-cran-purrr, r-cran-scales, r-cran-stringr, r-cran-survival, r-cran-tidyr
Suggests: r-cran-cmprsk, r-cran-coxme, r-cran-hmisc, r-cran-knitr, r-cran-lmtest, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-rstan, r-cran-sandwich, r-cran-survey, r-cran-survminer, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-finalfit_1.0.8-1.ca2004.1_all.deb
Size: 3289716
MD5sum: 5718b559c4ce0d77889aa6e7b401b7d8
SHA1: 1ac390e7d39bc48be748f65389bed4bc02d851c6
SHA256: 1d0e6518223e7ab5c9ee9e7e3118f64949a4407c46d3cdd8fe2164e02a8116a2
SHA512: 28714143d75676a787aa3426ba3e56b1184c9d711cdc6819760aa68ae38b868e1ba6bedf449aa4b25ead84b8a79e1ea0bb53c4b737ac760ae23ca3e20494552f
Homepage: https://cran.r-project.org/package=finalfit
Description: CRAN Package 'finalfit' (Quickly Create Elegant Regression Results Tables and Plots whenModelling)
 Generate regression results tables and plots in final format for
 publication. Explore models and export directly to PDF and 'Word' using
 'RMarkdown'.

Package: r-cran-finana
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-finana_0.1.2-1.ca2004.1_all.deb
Size: 50180
MD5sum: 848e00590c26d70d233679eabc1a27b9
SHA1: 35d8c0538d3fe8e25a5fb9d17cbe24690c8a026f
SHA256: 0b343b1b91f1c88ef77b02936b64245995336c2bf32075bd4d350bb5dc1a543e
SHA512: 5fd027ae811a14e09bc6e3be2214b7fe236a58eda85c8e08cbff9e0b114549a54b6cb5e7d5f6d223271e911efa9c92e40063da187dda717c5f8c946d9e10e23c
Homepage: https://cran.r-project.org/package=FinAna
Description: CRAN Package 'FinAna' (Financial Analysis and Regression Diagnostic Analysis)
 Functions for financial analysis and financial modeling, including batch
 graphs generation, beta calculation, descriptive statistics, annuity
 calculation, bond pricing and financial data download.

Package: r-cran-financialinstrument
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantmod, r-cran-zoo, r-cran-xts, r-cran-ttr
Suggests: r-cran-foreach, r-cran-xml, r-cran-testthat, r-cran-timeseries
Filename: pool/dists/focal/main/r-cran-financialinstrument_1.3.1-1.ca2004.1_all.deb
Size: 526340
MD5sum: c5dadb84b8b0dd32d19436f5b8abe3df
SHA1: c74c7d9323178d4e6913685a54df3af2472edf31
SHA256: 6df4ce8fadce79abe404b2e270ac16cf7f6a407b8f6bd50bd475fc2f91806bb6
SHA512: 53f010c3bffd0e579d58c382eca1ba17e5c340cdaf190779e8806088b7b2ae84cb7bd389ef7ae6802aa6ffec3a2eabceb8a18d8a84af3f431b54133c029f4bfa
Homepage: https://cran.r-project.org/package=FinancialInstrument
Description: CRAN Package 'FinancialInstrument' (Financial Instrument Model Infrastructure and Meta-Data)
 Infrastructure for defining meta-data and relationships for financial
 instruments.

Package: r-cran-financialmath
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-financialmath_0.1.1-1.ca2004.1_all.deb
Size: 325132
MD5sum: 1775251b4ccecc2f81f413e73a4da866
SHA1: 4a6df56b30c6748cf60fbf54d762e5b961dea006
SHA256: e0828893f620cd9f09cc6744cff781538825a815620f333e40049db7046dcb43
SHA512: 225705de2d171a6d381169cb0342c4b594f7108813814684fe741af0bd518aad1bc150e70403f826d3fc91b65aea8c1f9649511321557b23a335e5c679c1993d
Homepage: https://cran.r-project.org/package=FinancialMath
Description: CRAN Package 'FinancialMath' (Financial Mathematics for Actuaries)
 Contains financial math functions and introductory derivative functions
 included in the Society of Actuaries and Casualty Actuarial Society
 'Financial Mathematics' exam, and some topics in the 'Models for Financial
 Economics' exam.

Package: r-cran-finasym
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-finasym_1.0-1.ca2004.1_all.deb
Size: 21808
MD5sum: b25023c41751b7a2a4b0d7358bcfb55e
SHA1: 751880af40ce40760ca03e33444290ed0a09d7bb
SHA256: f3f84d5c9f628acb1314d33d9e536fc70c98439297942b38deb6e6df87f7a7d1
SHA512: 7ff2bc8ac7621e40fe4342796a53528aaac738af8050e0ea5ff6c3aeb80c1668cdf66ec736efa5a1c51c6b5c640610d6e3ac82965ce8ff111d27af3bb9dc5e66
Homepage: https://cran.r-project.org/package=FinAsym
Description: CRAN Package 'FinAsym' (Classifies implicit trading activity from market quotes andcomputes the probability of informed trading)
 This package accomplishes two tasks: a) it classifies implicit trading
 activity from quotes in OTC markets using the algorithm of Lee and Ready
 (1991); b) based on information for trade initiation, the package computes
 the probability of informed trading of Easley and O'Hara (1987).

Package: r-cran-finbif
Architecture: all
Version: 0.9.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 774
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-httr, r-cran-jsonlite, r-cran-lutz
Suggests: r-cran-callr, r-cran-data.table, r-cran-dbi, r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat, r-cran-vcr, r-cran-webfakes
Filename: pool/dists/focal/main/r-cran-finbif_0.9.10-1.ca2004.1_all.deb
Size: 428432
MD5sum: fd8c749a4a7c55e21bbb8674bb64756e
SHA1: e15ccc1ffe02bacd4594d1fbda54099f3de68044
SHA256: a2232489d0016265663ce0bfa3200c0b0d6ec5039fe289ad1cbcca6bd64e0617
SHA512: ec1359460fda682f17407345829b8adbd85a115d600b107ac3c55fb1631e1ed0fac50523f974040c91c39f741e57399c8f735b30508f3de5b84a7eeea1124c3c
Homepage: https://cran.r-project.org/package=finbif
Description: CRAN Package 'finbif' (Interface for the 'Finnish Biodiversity Information Facility'API)
 A programmatic interface to the 'Finnish Biodiversity Information Facility'
 ('FinBIF') API (<https://api.laji.fi>). 'FinBIF' aggregates Finnish
 biodiversity data from multiple sources in a single open access portal for
 researchers, citizen scientists, industry and government.  'FinBIF' allows
 users of biodiversity information to find, access, combine and visualise
 data on Finnish plants, animals and microorganisms. The 'finbif' package
 makes the publicly available data in 'FinBIF' easily accessible to
 programmers. Biodiversity information is available on taxonomy and taxon
 occurrence. Occurrence data can be filtered by taxon, time, location and
 other variables. The data accessed are conveniently preformatted for
 subsequent analyses.

Package: r-cran-finbipartite
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-spectralgraphtopology, r-cran-quadprog, r-cran-mass, r-cran-progress, r-cran-mvtnorm, r-cran-cvxr
Suggests: r-cran-testthat, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-finbipartite_0.1.0-1.ca2004.1_all.deb
Size: 155672
MD5sum: 63abd888076fc8a67d7d1e1c5236b638
SHA1: 934d87298e885de2c3828158174b67d49eab7821
SHA256: 21920434897ed67dc14a1db64247af7d24d358c2c82428d3cc29194219ac50a4
SHA512: b9236a62f0a98d71fffca00958e457b29a1df4e59a25f99840108f7971a9c2eed6f528eb74faecac063293e343270adab240e5f773967ec0db3695f1c4bc3b95
Homepage: https://cran.r-project.org/package=finbipartite
Description: CRAN Package 'finbipartite' (Learning Bipartite Graphs: Heavy Tails and Multiple Components)
 Learning bipartite and k-component bipartite graphs from financial datasets.
 This package contains implementations of the algorithms described in the
 paper: Cardoso JVM, Ying J, and Palomar DP (2022).
 <https://openreview.net/pdf?id=WNSyF9qZaMd> "Learning bipartite graphs:
 heavy tails and multiple components, Advances in Neural Informations
 Processing Systems" (NeurIPS).

Package: r-cran-fincal
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-fincal_0.6.3-1.ca2004.1_all.deb
Size: 135916
MD5sum: 96d29966697e62d524cb38c0274fc2a8
SHA1: ab78c8151b2c907ebe745816d5ad8123bcce5a32
SHA256: 37e7980048302a2b9f22983e06255cdbf5bc4a3060d6ef27c53f193760288ff5
SHA512: aada51ee09d808b5348e4ea51cb7e2b250dfb68e27a2130fc2915bd3c9516be9c0598f1883f78e14d5bdffc2e2304a5dd53f08caaf637f5f2f28d83740e2045d
Homepage: https://cran.r-project.org/package=FinCal
Description: CRAN Package 'FinCal' (Time Value of Money, Time Series Analysis and ComputationalFinance)
 Package for time value of money calculation, time series analysis and
 computational finance.

Package: r-cran-finch
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-eml, r-cran-data.table, r-cran-digest, r-cran-hoardr
Suggests: r-cran-testthat, r-cran-crul, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-finch_0.4.0-1.ca2004.1_all.deb
Size: 242372
MD5sum: 161c28e46def2d548576ae4a2ab9ce25
SHA1: b5dbc9efa0f4a2cb37342677e34eb3212c63128e
SHA256: cdb2dbc8a06173e4898fecdbe6337514899cd3deb511c9bca017030a3a426e66
SHA512: 3a1e86cbd49962479c5d1746a6adcd585c7d02be81fa68f4cf77e6d4096d176d88f5e6b876a949a61c80e4ab35f022a6e10027809bccfe7b83bdd36fb65e7f94
Homepage: https://cran.r-project.org/package=finch
Description: CRAN Package 'finch' (Parse Darwin Core Files)
 Parse and create Darwin Core (<http://rs.tdwg.org/dwc/>) Simple and
 Archives. Functionality includes reading and parsing all the files in a
 Darwin Core Archive, including the datasets and metadata; read and parse
 simple Darwin Core files; and validation of Darwin Core Archives.

Package: r-cran-fincovregularization
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-fincovregularization_1.1.0-1.ca2004.1_all.deb
Size: 80152
MD5sum: 09ddd78caffcf86c3b7aa9b76bee3e2e
SHA1: ca38b0289dc7db3369659c57ba21aadf90b0bc35
SHA256: 8b54df79c6b7ba1418016ccf72e3f26df3434a058991413e5eb21910cec158e0
SHA512: 771246e7759cd94324018f383e97f160d8dd2b83d9f6040cad7be5f5fd57f7c291d0f93a4c8c979d7007fd9e025032291ffefd8b38101b9dd3cf90fa2307affc
Homepage: https://cran.r-project.org/package=FinCovRegularization
Description: CRAN Package 'FinCovRegularization' (Covariance Matrix Estimation and Regularization for Finance)
 Estimation and regularization for covariance matrix of asset returns. For
 covariance matrix estimation, three major types of factor models are
 included: macroeconomic factor model, fundamental factor model and
 statistical factor model. For covariance matrix regularization, four
 regularized estimators are included: banding, tapering, hard-thresholding
 and soft- thresholding. The tuning parameters of these regularized
 estimators are selected via cross-validation.

Package: r-cran-findallroots
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-findallroots_1.0-1.ca2004.1_all.deb
Size: 19884
MD5sum: 86b0019ed20165382be457b25cfd435e
SHA1: cdb68d1784b1cbf86b077092a1747873979b07dd
SHA256: f01ebd2dc964ee8168fc35aa161eca8ca087d8b3075ff98b45b89ed8922a1746
SHA512: bcedecc72f4442142d6364d84b8cb2700c5b48d2fadcf5b3b91e1e3b10d2350a0e0cc062bd9bbb9ea0cf2c7746c43a8e0d378b329490b7552aa1e14b3bd6d16a
Homepage: https://cran.r-project.org/package=FindAllRoots
Description: CRAN Package 'FindAllRoots' (Find all root(s) of the equation and Find root(s) of theequation by dichotomy)
 Find all root(s) of the equation,including complex roots;Find root(s) of the
 equation by dichotomy.Besides,in dichotomy, more than one interval can be
 given at a time.

Package: r-cran-findgsep
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-pracma, r-cran-scales, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-findgsep_1.2.0-1.ca2004.1_all.deb
Size: 187756
MD5sum: 99b39419bfe2232f8306c400f95caa49
SHA1: b11d3f39d0826b556f5c2658469fc1edcc881ef8
SHA256: 595a2fcb8bcae8cae618efdf7dfeb974b6eeb80908c43a6990cfa6411a628ade
SHA512: 0404603eb5c92fe31ddb778fef864083f5dee9c109296d1175a580c64ae980fb76471dd51636ff310050bc576d37bedce8c9c8c29d5187be5e92869191eae7e0
Homepage: https://cran.r-project.org/package=findGSEP
Description: CRAN Package 'findGSEP' (Estimate Genome Size of Polyploid Species Using k-MerFrequencies)
 Provides tools to estimate the genome size of polyploid species using k-mer
 frequencies. This package includes functions to process k-mer frequency data
 and perform genome size estimation by fitting k-mer frequencies with a
 normal distribution model. It supports handling of complex polyploid genomes
 and offers various options for customizing the estimation process. The basic
 method 'findGSE' is detailed in Sun, Hequan, et al. (2018)
 <doi:10.1093/bioinformatics/btx637>.

Package: r-cran-findinfiles
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-htmlwidgets, r-cran-shiny, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-fs, r-cran-shinyace, r-cran-shinyfiles, r-cran-shinyjqui, r-cran-shinyvalidate, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-findinfiles_0.5.0-1.ca2004.1_all.deb
Size: 64764
MD5sum: 36d6d3860f890aa5a5b6300c7f9d5448
SHA1: 9387d1c86fa569da5b04a67bb65983064d5f414c
SHA256: 005c9a50e4ffca7ac3c12887810dbfbb289b19f7165bc645c7b326e0518d6fc6
SHA512: de5c7c292473915a627be41b754f768d924f2c34c26f486c0470ba1fad6d25ef826b61dd3936167aa2397e0834dcefc41185ade108d00a4cd3ae873a7d645f84
Homepage: https://cran.r-project.org/package=findInFiles
Description: CRAN Package 'findInFiles' (Find Pattern in Files)
 Creates a HTML widget which displays the results of searching for a pattern
 in files in a given folder. The results can be viewed in the 'RStudio'
 viewer pane, included in a 'R Markdown' document or in a 'Shiny'
 application. Also provides a 'Shiny' application allowing to run this widget
 and to navigate in the files found by the search. Instead of creating a HTML
 widget, it is also possible to get the results of the search in a 'tibble'.
 The search is performed by the 'grep' command-line utility.

Package: r-cran-findingit
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-crayon, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-findingit_0.1.1-1.ca2004.1_all.deb
Size: 52524
MD5sum: 262dacf3938b981cc8f5a970beb88751
SHA1: 5c02085bb5d2cd6879a4e899c5247ef26ba6bedf
SHA256: 1198dab32e95e0fcb0daa8fb36e23c5fc39dffdaa41bec0bed07517be946c636
SHA512: bf6459fdc468cf1d4e349735f11a8753e0de0a253ed4fd84a3557b7110f792570b6e57f33218606d369255884ae2d15f89a1469a6f818c7bed1191d902e3e9a3
Homepage: https://cran.r-project.org/package=findInGit
Description: CRAN Package 'findInGit' (Find Pattern in Files of All Branches of a 'git' Repository)
 Creates a HTML widget which displays the results of searching for a pattern
 in files in a given 'git' repository, including all its branches. The
 results can also be returned in a dataframe.

Package: r-cran-findit
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arm, r-cran-glmnet, r-cran-lars, r-cran-matrix, r-cran-quadprog, r-cran-glinternet, r-cran-igraph, r-cran-sandwich, r-cran-lmtest, r-cran-limsolve
Filename: pool/dists/focal/main/r-cran-findit_1.2.0-1.ca2004.1_all.deb
Size: 430144
MD5sum: cd3f5e50df46001b53b4c24963b894c7
SHA1: b9b7124c893e68185b6d79aa437c2983ec54e5ee
SHA256: effe7da4d4cd7ebc69ef85e86d11216758a1435505696b23ba7fd8157af4c290
SHA512: 7eab9e5332515cc17b636110861cf5d9e0a42ed5aca46f6c652e3d3f802730671042bb0bd86e17aeb4358e8c0037f0ef7707b83cad36d31d41d29436d9435c8b
Homepage: https://cran.r-project.org/package=FindIt
Description: CRAN Package 'FindIt' (Finding Heterogeneous Treatment Effects)
 The heterogeneous treatment effect estimation procedure proposed by Imai and
 Ratkovic (2013)<DOI: 10.1214/12-AOAS593>.  The proposed method is
 applicable, for example, when selecting a small number of most (or least)
 efficacious treatments from a large number of alternative treatments as well
 as when identifying subsets of the population who benefit (or are harmed by)
 a treatment of interest. The method adapts the Support Vector Machine
 classifier by placing separate LASSO constraints over the pre-treatment
 parameters and causal heterogeneity parameters of interest. This allows for
 the qualitative distinction between causal and other parameters, thereby
 making the variable selection suitable for the exploration of causal
 heterogeneity.  The package also contains a class of functions, CausalANOVA,
 which estimates the average marginal interaction effects (AMIEs) by a
 regularized ANOVA as proposed by Egami and Imai
 (2019)<DOI:10.1080/01621459.2018.1476246>.  It contains a variety of
 regularization techniques to facilitate analysis of large factorial
 experiments.

Package: r-cran-findpackage
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-findpackage_0.2.0-1.ca2004.1_all.deb
Size: 15124
MD5sum: 203579a6daa55719034cdd5e63b45348
SHA1: 98b4d6e0461d182d1c7678697802dffb136afd00
SHA256: 28a21dea5a8be80b7a7f24c8139805df57d91172bbf849f682f366633ac5507f
SHA512: 7f438df941de4e6ef6299f07ce57b803ddba8e3612e6454c85e14304ee9ddb461c942cf36c1c56b41f0d35678c82954ed41b4766bc7f85f188a5504fc0049696
Homepage: https://cran.r-project.org/package=findPackage
Description: CRAN Package 'findPackage' (Find 'CRAN' Package by Topic)
 Finds 'CRAN' packages by the topic requested. The topic can be given as a
 character string or as a regular expression and will help users to locate
 'CRAN' packages matching their specified requirement. findPackage(<string>)
 returns a data frame of packages with description containing the input
 string.

Package: r-cran-findpython
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-reticulate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-findpython_1.0.9-1.ca2004.1_all.deb
Size: 22976
MD5sum: 88f260b63cdcc47d31c29ad1761b1ece
SHA1: 34b3cc19d81c110582a564474c3a091df1f1d947
SHA256: 97ea42d0c44a41dae51d1fa3f85868ba8c1d3731d09af4796f438be1284d3c16
SHA512: 7891e166e317f7275c1d1c1e7ff283b9d0b9d6eb5a9aae2928f9cb6e2a2156f5e12ac10e9efb8feea895843aab2ec5ee976654715d49710b6ad75f463e58f891
Homepage: https://cran.r-project.org/package=findpython
Description: CRAN Package 'findpython' (Functions to Find an Acceptable Python Binary)
 Package designed to find an acceptable python binary.

Package: r-cran-findr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pdftools, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-findr_0.2.1-1.ca2004.1_all.deb
Size: 475400
MD5sum: b382ee4b66b9193063dac282ce205df7
SHA1: bf5dfdc5149373b04ca34c6a957b4515069d265f
SHA256: 31174018493a60625360e88e82bb1b2cc2f4c3ec712a21a04bdcde9e73b91a75
SHA512: 9be10e3910830dcdb80dda709db92d0ee3caddf130359bc703d4a8402f55661e8d51161acd710ab0fc2ac4e8a45a635a4752588885d04b6bf91155671cec7b27
Homepage: https://cran.r-project.org/package=findR
Description: CRAN Package 'findR' (Find Code Snippets, R Scripts, R Markdown, PDF and Text Fileswith Pattern Matching)
 Scans all directories and subdirectories of a path for code snippets, R
 scripts, R Markdown, PDF or text files containing a specific pattern.  Files
 found can be copied to a new folder.

Package: r-cran-findsvi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2754
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tidycensus, r-cran-tidyr, r-cran-tidyselect, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-htmltools, r-cran-glue, r-cran-sf, r-cran-ggplot2, r-cran-reactable, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-findsvi_0.2.0-1.ca2004.1_all.deb
Size: 2197544
MD5sum: 35fd4d08e76ab308d90c3a7470322d76
SHA1: 6c4e519d0f9a7031490aa6665dd87c3c2923235d
SHA256: 36a5a8755f48612984562005dbd78324589d0c828b614f2abec8570577454d68
SHA512: 92382db10048ab4aee0d5ad115d7b0c345c0ed0f0b4873a59c441c8cc2c73706cd5d3ba18e4df248854cf33ca4ea39177f48596672adf8fe749723ea78801059
Homepage: https://cran.r-project.org/package=findSVI
Description: CRAN Package 'findSVI' (Calculate Social Vulnerability Index for Communities)
 Developed by CDC/ATSDR (Centers for Disease Control and Prevention/ Agency
 for Toxic Substances and Disease Registry), Social Vulnerability Index (SVI)
 serves as a tool to assess the resilience of communities by taking into
 account socioeconomic and demographic factors.  Provided with year(s),
 region(s) and a geographic level of interest, 'findSVI' retrieves required
 variables from US census data and calculates SVI for communities in the
 specified area based on CDC/ATSDR SVI documentation.  Reference for the
 calculation methods: Flanagan BE, Gregory EW, Hallisey EJ, Heitgerd JL,
 Lewis B (2011) <doi:10.2202/1547-7355.1792>.

Package: r-cran-findviews
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-scales, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-findviews_0.1.3-1.ca2004.1_all.deb
Size: 145468
MD5sum: 5835ebed4f90f2d50c218e24b1ad9920
SHA1: d3e8e97a725d4f90876ad7ef4d775b81ba5b3d3b
SHA256: 03224fc9936444e66a7b69f34b8b550670bcfe1540278be55866e98a1da970a8
SHA512: 59ae3db92c213c9685d72117e91df14097281b2ce4bbd6d0a470335d554011777a02f5635e2f520132be5a02fe26cd1b11f1db97346b25f7cf54a51eb7160ca0
Homepage: https://cran.r-project.org/package=findviews
Description: CRAN Package 'findviews' (A View Generator for Multidimensional Data)
 A tool to explore wide data sets, by detecting, ranking and plotting groups
 of statistically dependent columns.

Package: r-cran-finepop2
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-finepop2_0.4-1.ca2004.1_all.deb
Size: 116972
MD5sum: ca6298252a08d32d2461fe752b6ff682
SHA1: 70fa4472df39ee32a4f4e844397008d783f5bff4
SHA256: 9705b52a2b253417b0ee6e140bf62513bf5d4092b844b85d23b873146e2cb96f
SHA512: 8dfc23f16d34a32fd29c7ae9e3f401b3d8ce506b32db77afe7e61dd992471be24cbcabefb6c0556673ace7729ca437de2de38977f7b00128f7dab7aa6a494d86
Homepage: https://cran.r-project.org/package=FinePop2
Description: CRAN Package 'FinePop2' (Fine-Scale Population Analysis (Rewrite forGene-Trait-Environment Interaction Analysis))
 Statistical tool set for population genetics. The package provides following
 functions: 1) estimators of genetic differentiation (FST), 2) regression
 analysis of environmental effects on genetic differentiation using
 generalized least squares (GLS) method, 3) interfaces to read and manipulate
 'GENEPOP' format data files). For more information, see Kitada, Nakamichi
 and Kishino (2020) <doi:10.1101/2020.01.30.927186>.

Package: r-cran-finepop
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-ape
Filename: pool/dists/focal/main/r-cran-finepop_1.5.2-1.ca2004.1_all.deb
Size: 427604
MD5sum: d0a8729551e721015b85c33272c611c0
SHA1: 034d5e67ee27276e8f0d5dd5b797ca4f368b07c0
SHA256: ee4251e79f87e300ea7ea94dcd4f52c32cac8c962a9397ac232786b4acb4f248
SHA512: 9f0e0234d5a78f6602d6ae12f97b848f18c59043b55b53b46405e49fda2dd4e2b2f3403ee07b631bad8c4a4a439b71378e4408e2894acc75905cb165b68573f8
Homepage: https://cran.r-project.org/package=FinePop
Description: CRAN Package 'FinePop' (Fine-Scale Population Analysis)
 Statistical tool set for population genetics. The package provides following
 functions: 1) empirical Bayes estimator of Fst and other measures of genetic
 differentiation, 2) regression analysis of environmental effects on genetic
 differentiation using bootstrap method, 3) interfaces to read and manipulate
 'GENEPOP' format data files and allele/haplotype frequency format files.

Package: r-cran-finetune
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tune, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-ggplot2, r-cran-parsnip, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-workflows
Suggests: r-cran-bradleyterry2, r-cran-covr, r-cran-discrim, r-cran-kknn, r-cran-klar, r-cran-lme4, r-cran-modeldata, r-cran-ranger, r-cran-recipes, r-cran-rpart, r-cran-rsample, r-cran-spelling, r-cran-testthat, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-finetune_1.2.1-1.ca2004.1_all.deb
Size: 193764
MD5sum: d172dd2432b147489ddf7d90e4f576d7
SHA1: 40bc79b120c6410d3296717f872575a25409f622
SHA256: 5ead4850993d364d5ab270f64c52f7fae9bb6f4900c73c6ff73ff28a086799eb
SHA512: e18840351a74542966cf930cfd54e6a776a9e086def3ed12c394a7e7929af4530df12d92f086547fc0b6d06632cd538cdf4fa50a6a3b4de1f20b5118d71f7162
Homepage: https://cran.r-project.org/package=finetune
Description: CRAN Package 'finetune' (Additional Functions for Model Tuning)
 The ability to tune models is important. 'finetune' enhances the 'tune'
 package by providing more specialized methods for finding reasonable values
 of model tuning parameters.  Two racing methods described by Kuhn (2014)
 <doi:10.48550/arXiv.1405.6974> are included. An iterative search method
 using generalized simulated annealing (Bohachevsky, Johnson and Stein, 1986)
 <doi:10.1080/00401706.1986.10488128> is also included.

Package: r-cran-fingraph
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 550
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-spectralgraphtopology, r-cran-mass, r-cran-progress, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fingraph_0.1.0-1.ca2004.1_all.deb
Size: 496848
MD5sum: 8a56cbe4c47545a14e916c0d3557b088
SHA1: e05078b54bb2bff27579e38eb99dda0dfdb304ef
SHA256: c8ff8b243412eb02e6a289297af9371e04987d2c9c75e152439d2886c3601e0b
SHA512: 860bf4a402bd2ffa62d71847546cff3d2949b4aacc95d0e47a9278efcc5dba8dfae4b54b48feec53e7423d1acb776049fd9052afff474d394447618d67a99107
Homepage: https://cran.r-project.org/package=fingraph
Description: CRAN Package 'fingraph' (Learning Graphs for Financial Markets)
 Learning graphs for financial markets with optimization algorithms.  This
 package contains implementations of the algorithms described in the paper:
 Cardoso JVM, Ying J, and Palomar DP (2021)
 <https://papers.nips.cc/paper/2021/hash/a64a034c3cb8eac64eb46ea474902797-Abstract.html>
 "Learning graphs in heavy-tailed markets", Advances in Neural Informations
 Processing Systems (NeurIPS).

Package: r-cran-finiteruinprob
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sdprisk, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-finiteruinprob_0.6-1.ca2004.1_all.deb
Size: 134716
MD5sum: 8868ceec83dcce9498b355bf6f01a524
SHA1: 36b2b7ee111a9f421bc6e5b01956238ddf3eb6a0
SHA256: 24136a1d03e2b35002362e4df18b5e9160c24684baec2d14ca9a17f286d66f61
SHA512: f0a5469fd5b05b52d13078a846979c72c40a55d76b7c150d034ecfc248786ca9f63a2f48564c4709be7371272273e6a64729c71ff2184d9d00fdb04fe6314146
Homepage: https://cran.r-project.org/package=finiteruinprob
Description: CRAN Package 'finiteruinprob' (Computation of the Probability of Ruin Within a Finite TimeHorizon)
 In the Cramér–Lundberg risk process perturbed by a Wiener process, this
 packages provides approximations to the probability of ruin within a finite
 time horizon.  Currently, there are three methods implemented: The first one
 uses saddlepoint approximation (two variants are provided), the second one
 uses importance sampling and the third one is based on the simulation of a
 dual process.  This last method is not very accurate and only given here for
 completeness.

Package: r-cran-finna
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-ggplot2, r-cran-readr, r-cran-tibble, r-cran-curl, r-cran-progress, r-cran-purrr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-finna_0.1.1-1.ca2004.1_all.deb
Size: 109000
MD5sum: b715bfd47ef7db9a39df632f87467850
SHA1: a6f15d8e2965e43a80c935da8ac40fc1f92108e7
SHA256: 0136a446b968c03882c223f1bc3f3adb10c21a1da1a62dbb628aa4cd4cc048a2
SHA512: 1bce1e4a416c7a21e8ff09d358d85f89e4b82c52e0ee36e58b3c0925b51532aa46a71f4d87db97481b82092b941c558397ef8fbe8db3af47c84e91cb2a72844a
Homepage: https://cran.r-project.org/package=finna
Description: CRAN Package 'finna' (Access the 'Finna' API)
 Provides functions to access and retrieve metadata from the 'Finna' API
 <https://api.finna.fi/>, which aggregates content from Finnish archives,
 libraries, and museums.

Package: r-cran-finnishgrid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 671
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-finnishgrid_0.2.0-1.ca2004.1_all.deb
Size: 482020
MD5sum: 41943b003d634c7cd19dae6ab1d235fb
SHA1: 61678073bebbe04f64ce217e29a1ab86014aa5d1
SHA256: 86644f4806647c9d3989f179a35519cc3d9223fc18e7930936ae5aba4261633f
SHA512: 3db6efc9f1a3d06132dc11211f86eafcd506bb50eec20aeb563c7809d6e3547adc19bc21ac7a5feb43d3596bcb288b33e885bbdb551a3f06aa36f348a344464c
Homepage: https://cran.r-project.org/package=finnishgrid
Description: CRAN Package 'finnishgrid' ('Fingrid Open Data API' R Client)
 R API client package for 'Fingrid Open Data' <https://data.fingrid.fi/> on
 the electricity market and the power system.  get_data() function holds the
 main application logic to retrieve time-series data. API calls require free
 user account registration.  Data is made available by Fingrid Oyj and
 distributed under Creative Commons 4.0
 <https://creativecommons.org/licenses/by/4.0/>.

Package: r-cran-finnsurveytext
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggraph, r-cran-igraph, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-stopwords, r-cran-stringr, r-cran-textrank, r-cran-tibble, r-cran-tidyr, r-cran-udpipe, r-cran-wordcloud
Suggests: r-cran-dt, r-cran-htmlwidgets, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyjs, r-cran-survey
Filename: pool/dists/focal/main/r-cran-finnsurveytext_2.1.1-1.ca2004.1_all.deb
Size: 650744
MD5sum: 632410768584e585f8d4f5f074f2c9f8
SHA1: 40bf3f247a2012b31486e74f28899732df915f26
SHA256: b8336a26e0aa7c25ed00f05ca4f17088148f7647c375f472adc4ab2cea81902a
SHA512: 1d1416bca65447eeccc8446fa40a78e93f9838005ef3f198e2d6aec1f7b62f05dc41f47cb577599d355c16a07352409f840fbed92d76d1c5e38fdd444d699a5b
Homepage: https://cran.r-project.org/package=finnsurveytext
Description: CRAN Package 'finnsurveytext' (Analyse Open-Ended Survey Responses in Finnish)
 Annotates Finnish textual survey responses into CoNLL-U format using Finnish
 treebanks from <https://universaldependencies.org/format.html> using UDPipe
 as described in Straka and Straková (2017) <doi:10.18653/v1/K17-3009>.
 Formatted data is then analysed using single or comparison n-gram plots,
 wordclouds, summary tables and Concept Network plots. The Concept Network
 plots use the TextRank algorithm as outlined in Mihalcea, Rada & Tarau, Paul
 (2004) <https://aclanthology.org/W04-3252/>.

Package: r-cran-finnts
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1434
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-modeltime, r-cran-cli, r-cran-cubist, r-cran-dials, r-cran-digest, r-cran-doparallel, r-cran-dplyr, r-cran-earth, r-cran-feasts, r-cran-foreach, r-cran-fs, r-cran-generics, r-cran-glue, r-cran-glmnet, r-cran-gtools, r-cran-hts, r-cran-kernlab, r-cran-lubridate, r-cran-magrittr, r-cran-parsnip, r-cran-plyr, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-rules, r-cran-snakecase, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-timetk, r-cran-tune, r-cran-vroom, r-cran-workflows
Suggests: r-cran-arrow, r-cran-azurestor, r-cran-boruta, r-cran-corrr, r-cran-knitr, r-cran-microsoft365r, r-cran-notebookutils, r-cran-qs, r-cran-reactable, r-cran-rmarkdown, r-cran-sparklyr, r-cran-testthat, r-cran-vip
Filename: pool/dists/focal/main/r-cran-finnts_0.5.0-1.ca2004.1_all.deb
Size: 831016
MD5sum: 0a83ef0553f5bbfd755970a65557fe66
SHA1: 8d55cef9143da74e491652fb2a9ec69664e51186
SHA256: 37a93a7c48e0faa609343734de9ad9bcc9688d1e2b9313a3baafa65ee160497b
SHA512: 3dc9597b9471dba25a6030efd63fb296624a0ecdfa1f945cc850d559a1e556193c6275d533942cbdcd4a7fa541ad620870e36bacbd225cee1b5ded90fe97aa36
Homepage: https://cran.r-project.org/package=finnts
Description: CRAN Package 'finnts' (Microsoft Finance Time Series Forecasting Framework)
 Automated time series forecasting developed by Microsoft Finance. The
 Microsoft Finance Time Series Forecasting Framework, aka Finn, can be used
 to forecast any component of the income statement, balance sheet, or any
 other area of interest by finance. Any numerical quantity over time, Finn
 can be used to forecast it. While it can be applied outside of the finance
 domain, Finn was built to meet the needs of financial analysts to better
 forecast their businesses within a company, and has a lot of built in
 features that are specific to the needs of financial forecasters. Happy
 forecasting!

Package: r-cran-finreportr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-dplyr, r-cran-httr, r-cran-rvest, r-cran-xbrl, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-finreportr_1.0.4-1.ca2004.1_all.deb
Size: 48748
MD5sum: 25a250e49e669ec1a8e45cc7fb598c16
SHA1: 1b6482da1dbea73d86e1b6f5b9767fb7894a0309
SHA256: 56340b28bb81644a9b2f551650e3a336e8a45c8002f61374045aee97bb7a62e7
SHA512: 4a8273f5d1abf0661abac613fc71f9a6a236612c87f400d2db54828b09b3ca7311acab44d480893a593aaaf0511bc4c524887990c6a61d33465a159eb1dd6097
Homepage: https://cran.r-project.org/package=finreportr
Description: CRAN Package 'finreportr' (Financial Data from U.S. Securities and Exchange Commission)
 Download and display company financial data from the U.S. Securities and
 Exchange Commission's EDGAR database. It contains a suite of functions with
 web scraping and XBRL parsing capabilities that allows users to extract data
 from EDGAR in an automated and scalable manner. See
 <https://www.sec.gov/edgar/searchedgar/companysearch.html> for more
 information.

Package: r-cran-fints
Architecture: all
Version: 0.4-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4714
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo
Suggests: r-cran-moments, r-cran-tseries, r-cran-urca, r-cran-lmtest, r-cran-sandwich, r-cran-psych, r-cran-gparotation, r-cran-chron, r-cran-polynom, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-fints_0.4-9-1.ca2004.1_all.deb
Size: 4460364
MD5sum: d9dcb673f85de11a835c6d552ee0659f
SHA1: f50c1e6a71fb488dcfbd07150d824dd8413b581c
SHA256: b06206fcddae677e98ee525c24ee2b1565eaaf2e27c01224c19b9a8c6c48a76f
SHA512: 67dc5f2888d4b30f5adb3f62e615a31167b57e584446f5db24c204fb5a5f84f8183b804dd440ff1263022f58964d8d6751d504c8c27c61a9f101f35d4bf7f661
Homepage: https://cran.r-project.org/package=FinTS
Description: CRAN Package 'FinTS' (Companion to Tsay (2005) Analysis of Financial Time Series)
 R companion to Tsay (2005) Analysis of Financial Time Series, second edition
 (Wiley).  Includes data sets, functions and script files required to work
 some of the examples.  Version 0.3-x includes R objects for all data files
 used in the text and script files to recreate most of the analyses in
 chapters 1-3 and 9 plus parts of chapters 4 and 11.

Package: r-cran-fipio
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2377
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-mockery, r-cran-covr, r-cran-fastmatch
Filename: pool/dists/focal/main/r-cran-fipio_1.1.2-1.ca2004.1_all.deb
Size: 2390548
MD5sum: 9ecfbf89a81da6f9662666fd2ccd274d
SHA1: e3d7fbe820cc26cff34c7138d7a3031dfb51a5c9
SHA256: dfa1f456032204f42127ac15141691ebbe3ef0d8da82d68f6bfce11124d719ee
SHA512: d72849da3969123de7e3ac9f411c1cd43a24765f047322a4e83ebf00868872279c19c04acffb848f79c9519443bfa5b35f715305d0dc3c5734d82306890c4b37
Homepage: https://cran.r-project.org/package=fipio
Description: CRAN Package 'fipio' (Lightweight Federal Information Processing System (FIPS) CodeInformation Retrieval)
 Provides a lightweight suite of functions for retrieving information about
 5-digit or 2-digit US FIPS codes.

Package: r-cran-firebase.auth.rest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2
Filename: pool/dists/focal/main/r-cran-firebase.auth.rest_1.0.0-1.ca2004.1_all.deb
Size: 46604
MD5sum: 55de28d762dc1fb0a58ae9175836efb7
SHA1: 5f0a3c14b8eb7eca6154d18305d06ce8be6b77f4
SHA256: b133d74261727e6ab04dfe5d78f50a72a74d01a6a0ed1bd6c96b2db69e28f2e0
SHA512: 2af10c6ee18367141053606588353245a0194e3016c69315d99915b9ca687e28d7bf3180a4c340ea8994b6f562f8bdf91cff2cda325f7eea9c72882312dab119
Homepage: https://cran.r-project.org/package=firebase.auth.rest
Description: CRAN Package 'firebase.auth.rest' (R Wrapper for 'Firebase Authentication REST API')
 A convenient and user-friendly interface to interact with the 'Firebase
 Authentication REST API':
 <https://firebase.google.com/docs/reference/rest/auth>.  It enables R
 developers to integrate 'Firebase Authentication' services seamlessly into
 their projects, allowing for user authentication, account management, and
 other authentication-related tasks.

Package: r-cran-firebase
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1227
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-jose, r-cran-shiny, r-cran-openssl, r-cran-jsonlite, r-cran-base64enc, r-cran-htmltools
Suggests: r-cran-r6
Filename: pool/dists/focal/main/r-cran-firebase_1.0.2-1.ca2004.1_all.deb
Size: 632592
MD5sum: 126abd8417810fb656cc227e6a0edac7
SHA1: af0545b94ba36ea3f3f97b1d23b6ad2f79671927
SHA256: 9fd12a886d967393f016ee52cd4a5f58642df9d3fedf7917bdf93953c225cfd9
SHA512: f975d74b4401f279f9a2020ba3f6368d55e44dcf359078a12ae15335ca8bc57f1ee4962142da67e282534910a581b9a74ba21761ee53a20dfb483f515e65e4f4
Homepage: https://cran.r-project.org/package=firebase
Description: CRAN Package 'firebase' (Integrates 'Google Firebase' Authentication Storage, and'Analytics' with 'Shiny')
 Authenticate users in 'Shiny' applications using 'Google Firebase' with any
 of the many methods provided; email and password, email link, or using a
 third-party provider such as 'Github', 'Twitter', or 'Google'.  Use
 'Firebase Storage' to store files securely, and leverage 'Firebase
 Analytics' to easily log events and better understand your audience.

Package: r-cran-firebehavior
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1036
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-truncnorm, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-firebehavior_0.1.2-1.ca2004.1_all.deb
Size: 445308
MD5sum: 2c5615eafe4da11ad64284ec8071b8e0
SHA1: 3b583a0c553630547ecf3b80f8957916e83216bf
SHA256: 45abb5c0d14818f20520ea4d4624043eea7206f3acea33fe4ad313e9042ba508
SHA512: 5a7f4ec795899440a6b7743897a808786e46836fe35e07361b1355e19daf0c6b8baeb080f6b771cf57cd1038301b56f4e8ee59d8849596a1fd899b1539b2e401
Homepage: https://cran.r-project.org/package=firebehavioR
Description: CRAN Package 'firebehavioR' (Prediction of Wildland Fire Behavior and Hazard)
 Fire behavior prediction models, including the Scott & Reinhardt's (2001)
 Rothermel Wildland Fire Modelling System <DOI:10.2737/RMRS-RP-29> and
 Alexander et al.'s (2006) Crown Fire Initiation & Spread model
 <DOI:10.1016/j.foreco.2006.08.174>. Also contains sample datasets,
 estimation of fire behavior prediction model inputs (e.g., fuel moisture,
 canopy characteristics, wind adjustment factor), results visualization, and
 methods to estimate fire weather hazard.

Package: r-cran-fireexposur
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1421
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-ggspatial, r-cran-magrittr, r-cran-maptiles, r-cran-multiscaledtm, r-cran-rlang, r-cran-terra, r-cran-tidyr, r-cran-tidyselect, r-cran-tidyterra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fireexposur_1.1.0-1.ca2004.1_all.deb
Size: 994084
MD5sum: 40614a1d8f5b1457b990f4cfffc228b3
SHA1: 8f58c1439c85d096ceeb8964d6ec471750035b8e
SHA256: 8061ad1d8d4d08694463d180f6e7ad4bb839b9e993460e10e86263b84a97cc48
SHA512: 27d26f4fea5e82ee776943171010694c631da7ac04f63e09ed7a832765b1abfcd3e0530c348a930910e7f811000c70312c3cf200a5a321a9a0fa3d382d2c0437
Homepage: https://cran.r-project.org/package=fireexposuR
Description: CRAN Package 'fireexposuR' (Compute and Visualize Wildfire Exposure)
 Methods for computing and visualizing wildfire igntion exposure and
 directional vulnerability that are published in a series of scientific
 publications are automated by the functions in this package. See Beverly et
 al. (2010) <doi:10.1071/WF09071>, Beverly et al. (2021)
 <doi:10.1007/s10980-020-01173-8>, and Beverly and Forbes (2023)
 <doi:10.1007/s11069-023-05885-3> for background and methodology.

Package: r-cran-first
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fnn, r-cran-twinning
Filename: pool/dists/focal/main/r-cran-first_2.0-1.ca2004.1_all.deb
Size: 48788
MD5sum: 568fd4210c9410db6dbec0ed1a639fe6
SHA1: e5da279399d6586f229803def796cde761fa371f
SHA256: 60c4db75b7d1e11a65fc233653292f04e9de02cd24e5944e643f063f9a433c78
SHA512: e2a04de28987a4f5e9bd864c895f8f49d3febb1221739fda5e05392643f8dc9eea59d00fa3acb04916702840c7ff95f3179a2ffccf5fcba932e06c7117b6fee0
Homepage: https://cran.r-project.org/package=first
Description: CRAN Package 'first' (Factor Importance Ranking and Selection using Total Indices)
 A model-independent factor importance ranking and selection procedure based
 on total Sobol' indices. Please see Huang and Joseph (2025)
 <doi:10.1080/00401706.2025.2483531>. This research is supported by U.S.
 National Science Foundation grants DMS-2310637 and DMREF-1921873.

Package: r-cran-fiscore
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mclust, r-cran-bio3d, r-cran-stringr, r-cran-plotly, r-cran-lattice, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fiscore_0.1.3-1.ca2004.1_all.deb
Size: 2135436
MD5sum: 7c1e87cdd51bc066a0ad32fc3c26949c
SHA1: 197927e4cdd71d5bf49235c9038af8504dfed656
SHA256: df11370587035618b6cf93269cb93cf0c792001b81abbd3b0a9ad29d5e7a6dff
SHA512: 0edad11e2b963d1b1367693197e3b69132b856e7b8cd8abe8f5727d6982196363ed98f504950a457ae1effe1d051bc4a4c68e113995d30dbdc76a600ae8ec10b
Homepage: https://cran.r-project.org/package=Fiscore
Description: CRAN Package 'Fiscore' (Effective Protein Structural Data Visualisation and Exploration)
 Collection of structural analysis tolls to compliment the research paper
 "Fi-score: a novel approach to characterise protein topology and aid in drug
 discovery studies" ;<doi:10.1080/07391102.2020.1854859>. 'Fiscore' package
 allows to explore and identify new topologically and functionally relevant
 structural features by applying integrated Gaussian Mixture Models.

Package: r-cran-fish
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda.usc, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-fish_1.1-1.ca2004.1_all.deb
Size: 22776
MD5sum: 713aa9191e78c929352df866c54fdfc7
SHA1: 0c4fdcb57aa1d64737f650e0cc3011494621453b
SHA256: 22cabc831b84a42b966c8eeb51dde5b1867ddd735cdb69f596034f5a2711295d
SHA512: 85418c2537a592755163d3e7db1cf09d7bab92a0c9e77504aa810501f8f06be3891dd3f555bee128174f0aca3b55389a28420e31ee532e0a9e9f40fe5cb1eb9b
Homepage: https://cran.r-project.org/package=FiSh
Description: CRAN Package 'FiSh' (Fisher-Shannon Method)
 Proposes non-parametric estimates of the Fisher information measure and the
 Shannon entropy power. More theoretical and implementation details can be
 found in Guignard et al. <doi:10.3389/feart.2020.00255>. A 'python' version
 of this work is available on 'github' and 'PyPi' ('FiShPy').

Package: r-cran-fishbc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-chk, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fishbc_0.2.1-1.ca2004.1_all.deb
Size: 58416
MD5sum: e355ac8b8881da62b1f6746c9a5640e2
SHA1: f96d8e4dff0a04f715ba91ef12d95e2f257e5726
SHA256: cc761687249d7dc0ec347574e4e054420283925d37731f8c71b670a16f023a87
SHA512: ae90a0350070dec827327034184b59d29f677d8448c0fe480cd20aea41b76f3736cd6c4f00ffc78ee3f6021529f21d5ab3e5a343bc81aaa3ff14bc208c9b070b
Homepage: https://cran.r-project.org/package=fishbc
Description: CRAN Package 'fishbc' (Fishes of British Columbia)
 Provides raw and curated data on the codes, classification and conservation
 status of freshwater fishes in British Columbia. Marine fishes will be added
 in a future release.

Package: r-cran-fishboot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-ks, r-cran-tropfishr, r-cran-fishmethods
Filename: pool/dists/focal/main/r-cran-fishboot_1.0.0-1.ca2004.1_all.deb
Size: 215560
MD5sum: 89a5f2ed8a5dc9bd4c4e0157fe14bf09
SHA1: 89e9b3f500fadfc22a644443467fdf6b6474b3a3
SHA256: badbafe836aa1df3a9a3dbb4220dfe6dc0512663955637c4c472134fb8843310
SHA512: ee5e306b4c50f45f72b960373f71f6e751963b755faa7edccf625d336deff7e1f13f51c7636b67ef077c3d83839f31665dfe61bbe2775991323e2ed4a43f6ba4
Homepage: https://cran.r-project.org/package=fishboot
Description: CRAN Package 'fishboot' (Bootstrap-Based Methods for the Study of Fish Stocks and AquaticPopulations)
 A suite of bootstrap-based models and tools for analyzing fish stocks and
 aquatic populations. Designed for ecologists and fisheries scientists, it
 supports data from length-frequency distributions, tag-and-recapture
 studies, and hard structure readings (e.g., otoliths).  See Schwamborn et
 al., 2019 <doi:10.1016/j.ecolmodel.2018.12.001> for background. The package
 includes functions for bootstrapped fitting of growth curves and plotting.

Package: r-cran-fishdata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3658
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-magrittr, r-cran-dm, r-cran-ggplot2, r-cran-tidyr, r-cran-diagrammersvg, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-fishdata_1.0.1-1.ca2004.1_all.deb
Size: 1323360
MD5sum: 6afc5de42d35244f90b244499dc9954c
SHA1: 71b2dc10779017f66d5034b552e661909b0af5b4
SHA256: 5fdbe8dfbd9fe5fa408e60d1612fdf86a5ac11911ecae60dff7ca02ee29f393b
SHA512: 518e7b065ef8f3109f42dc59149b577d862a3c2a31d2e7f694e2bf828d4751c972fe48065ead4d8471887a17cafbbaf91af9c2619d1fad72d859882383862493
Homepage: https://cran.r-project.org/package=fishdata
Description: CRAN Package 'fishdata' (A Small Collection of Fish Population Datasets)
 A collection of four datasets based around the population dynamics of
 migratory fish. Datasets contain both basic size information on a per fish
 basis, as well as otolith data that contains a per day record of fish growth
 history.  All data in this package was collected by the author, from
 2015-2016, in the Wellington region of New Zealand.

Package: r-cran-fisherem
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-elasticnet, r-cran-ggplot2, r-cran-ellipse, r-cran-plyr
Suggests: r-cran-testthat, r-cran-aricode
Filename: pool/dists/focal/main/r-cran-fisherem_1.6-1.ca2004.1_all.deb
Size: 224680
MD5sum: 7b51ace6d1325f7cd0e668c8f5b43ec9
SHA1: 5cdf0003d38b9d3f7bb9f78815569c796f8773f5
SHA256: 18d57115b5ccadd65547811085072bbaf27119e8815ff88d200d666c6e24bc10
SHA512: ad66be9a22562c84464c4c23397e5bccf0496efa1f779b7860b30e44bac657a24b4ef5afc1b29615392574b48ed349fd3b29235cb853cfa8d5ed791e08c8dcd3
Homepage: https://cran.r-project.org/package=FisherEM
Description: CRAN Package 'FisherEM' (The FisherEM Algorithm to Simultaneously Cluster and VisualizeHigh-Dimensional Data)
 The FisherEM algorithm, proposed by Bouveyron & Brunet (2012)
 <doi:10.1007/s11222-011-9249-9>, is an efficient method for the clustering
 of high-dimensional data. FisherEM models and clusters the data in a
 discriminative and low-dimensional latent subspace. It also provides a
 low-dimensional representation of the clustered data. A sparse version of
 Fisher-EM algorithm is also provided.

Package: r-cran-fisheye
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-fisheye_0.2.0-1.ca2004.1_all.deb
Size: 16164
MD5sum: 1e8f53cd7e95cb5fff30eab687b4ba4b
SHA1: b0d0d5607b5fcd286150c84923922922fa7b5527
SHA256: 33914bcdd3a84743f81e89884a8b86bd72151a6c37c2c9c52f0b5b71f61b5351
SHA512: 44999c90d4027a3bec918cc0295370b82eeb7dc28d917cf6c8870e72c550f3d7987596559d8206db2f3807bc6c390d5e9b28234a82ea239334d57f8e1b8e1269
Homepage: https://cran.r-project.org/package=fisheye
Description: CRAN Package 'fisheye' (Transform Base Maps Using Log-Azimuthal Projection)
 Base maps are transformed to focus on a specific location using an azimuthal
 logarithmic distance transformation.

Package: r-cran-fishgrowth
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rtmb
Suggests: r-cran-areaplot
Filename: pool/dists/focal/main/r-cran-fishgrowth_1.0.2-1.ca2004.1_all.deb
Size: 212988
MD5sum: 8c202349759d959c4594fedaac4aeb53
SHA1: e14455395e84a14e8efbc54136df9c225d0c5d15
SHA256: 20f6b88c147d0bbdd915a333eff23b1a3e2bc42a936dd150e0307629547e7762
SHA512: ff40450ec8a950ca7e84a10f732184e30968505fa3cbf823c1ab8d29afef4d4da941557e51b18af8efdf1256977ea793b9fea444c9344acbd891418b8d4eb85a
Homepage: https://cran.r-project.org/package=fishgrowth
Description: CRAN Package 'fishgrowth' (Fit Growth Curves to Fish Data)
 Fit growth models to otoliths and/or tagging data, using the 'RTMB' package
 and maximum likelihood. The otoliths (or similar measurements of age)
 provide direct observed coordinates of age and length. The tagging data
 provide information about the observed length at release and length at
 recapture at a later time, where the age at release is unknown and estimated
 as a vector of parameters. The growth models provided by this package can be
 fitted to otoliths only, tagging data only, or a combination of the two.
 Growth variability can be modelled as constant or increasing with length.

Package: r-cran-fishkirkko2015
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fishkirkko2015_1.0.0-1.ca2004.1_all.deb
Size: 14204
MD5sum: 27fc3592103e0d5fc8af773fdaca89d1
SHA1: 95fd67295a6c731d83c5108c358cefa44fcd66b1
SHA256: 4e7fccdc39f8dc029733bffd82ba0f51bc3c6f0152251ffabc5ba742d9282431
SHA512: fe362eb871c0004fefbd390ae59b8764d6cf7994dd6b3e04c281b44d2cb798b18caea75ed1ea2f79d7772edf8a9aa974f30ad4bf60676f55a614240f8f974558
Homepage: https://cran.r-project.org/package=fishkirkko2015
Description: CRAN Package 'fishkirkko2015' (Dataset of Measurements of Fish Species at Kirkkojarvi Lake,Finland)
 Dataset of 302 measurements of 11 fish species to accompany the manuscript
 "Length-weight relationships of six freshwater fish species from lake
 Kirkkojarvi, Finland".

Package: r-cran-fishmove
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-mass, r-cran-boot
Filename: pool/dists/focal/main/r-cran-fishmove_0.3-3-1.ca2004.1_all.deb
Size: 66616
MD5sum: b5ce93ad6f26ef0e892e33bef0c2f613
SHA1: 23bdc71e2004c5ffe780bbf5d946d76c01fce063
SHA256: e9173980082ad9d2dd18c9803df25be50d62f8d4d0ac8902fc1c81e1f5387d2c
SHA512: e7ef81249d8491962b92b4d7132f97f22eed4b335ae5cf48144bc9f2a0276ebab361776211a3110993c05f228a4e96c610915a253567f7890dc193ca72dae282
Homepage: https://cran.r-project.org/package=fishmove
Description: CRAN Package 'fishmove' (Prediction of Fish Movement Parameters)
 Functions to predict fish movement parameters plotting leptokurtic fish
 dispersal kernels (see Radinger and Wolter, 2014: Patterns and predictors of
 fish dispersal in rivers. Fish and Fisheries. 15:456-473.)

Package: r-cran-fishphylomaker
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 940
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-fishtree, r-cran-geiger, r-cran-knitr, r-cran-phytools, r-cran-progress, r-cran-rfishbase, r-cran-rmarkdown
Suggests: r-cran-markdown, r-cran-gh
Filename: pool/dists/focal/main/r-cran-fishphylomaker_0.2.0-1.ca2004.1_all.deb
Size: 699292
MD5sum: cb9b4df810cdfa310fd82b6db819979d
SHA1: 1d179b369003d9e4cf650041eb29e454d218cde5
SHA256: b7b7a5de018d56c82df5986595a78179834ddbd8a6cf9e37a7b4b8ae964bdea6
SHA512: bb9a0ee11ae5017aaa3f97d4f1ddfbfa2204066e978e5b896bcf9d413985ea607f56ce024c6eb42c1767781f395dd1b77ac559c955dc6daea0d901528dc28046
Homepage: https://cran.r-project.org/package=FishPhyloMaker
Description: CRAN Package 'FishPhyloMaker' (Phylogenies for a List of Finned-Ray Fishes)
 Provides an alternative to facilitate the construction of a phylogeny for
 fish species from a list of species or a community matrix using as a
 backbone the phylogenetic tree proposed by Rabosky et al. (2018)
 <doi:10.1038/s41586-018-0273-1>.

Package: r-cran-fishproxcompanalyzer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fishproxcompanalyzer_0.1.0-1.ca2004.1_all.deb
Size: 21620
MD5sum: 133a90266cda81720c4c577174962d64
SHA1: a6f90cb79af8ad08e0161b5b3081a86abc2f6b4e
SHA256: f2bbe75da088bf1f5030c2b02b8f90c3cac608c8d9f820318490c6422db73b8d
SHA512: 5e402707adf6a5f8d4a14e8fced0c60b5a7548b4f12a644fc3ac034865b213140741f81f76ffe9be90b9814af1e90840c77622841c651724ff7ed7d0790b5bcc
Homepage: https://cran.r-project.org/package=FishProxCompAnalyzer
Description: CRAN Package 'FishProxCompAnalyzer' (Proximate Composition Analysis of Fish and Feed Ingredients)
 The proximate composition analysis is the quantification of main components
 that constitutes nutritional profile of any food and food products including
 fish, shellfish, fish feed and their ingredients. Understanding this
 composition is essential for evaluating their nutritional value and for
 making informed dietary choices. The primary components typically analyzed
 include; moisture/ water in foods, crude protein, crude fat/ lipid, total
 ash, fiber and carbohydrates AOAC(2005,ISBN:0-935584-77-3). In case of fish,
 shellfish and its products, the proximate composition consists of four
 primary constituents - water, protein, fat, and ash (mostly minerals). Fish
 exhibit significant variation in their chemical makeup based on age, sex,
 environment, and season, both within the same species and between individual
 fish. There is minimal fluctuation in the content of ash and protein. The
 lipid concentration varies remarkably and is inversely correlated with the
 water content. In case of fish, carbohydrates are present in minor quantity
 so that are quantified by subtracting total of other components from 100 to
 get percentage of carbohydrates.

Package: r-cran-fishresp
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5584
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chron, r-cran-lattice, r-cran-mclust, r-cran-rmr, r-cran-respirometry
Filename: pool/dists/focal/main/r-cran-fishresp_1.1.2-1.ca2004.1_all.deb
Size: 3723128
MD5sum: 40b72e9cbcc4e171ced499f96bd0a56b
SHA1: 28122ef0d2d36ec09f4e0ee866d8a297bb666627
SHA256: ab3e32ceb95d4f89b3e2e60cf51812fe81e586c5b479b383cd01a05862ed20bd
SHA512: cd30fb4900948184f2256307eff12344dcecaf9e96737f10688df775ac37559d65df143aacebae5b36440512c0339f748ff32f00fad1dc3425c15db9a0fd929b
Homepage: https://cran.r-project.org/package=FishResp
Description: CRAN Package 'FishResp' (Analytical Tool for Aquatic Respirometry)
 Calculates metabolic rate of fish and other aquatic organisms measured using
 an intermittent-flow respirometry approach. The tool is used to run a set of
 graphical QC tests of raw respirometry data, correct it for background
 respiration and chamber effect, filter and extract target values of absolute
 and mass-specific metabolic rate.  Experimental design should include
 background respiration tests and measuring of one or more metabolic rate
 traits. The R package is ideally integrated with the pump controller
 'PumpResp' and the DO meter 'SensResp' (open-source hardware by FishResp).
 Raw respirometry data can be also imported from 'AquaResp' (free software),
 'AutoResp' ('LoligoSystems'), 'OxyView' ('PreSens'), 'Pyro Oxygen Logger'
 ('PyroScience') and 'Q-box Aqua' ('QubitSystems'). More information about
 the R package 'FishResp'is available in the publication by Morozov et al.
 (2019) <doi:10.1093/conphys/coz003>.

Package: r-cran-fishrman
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-config, r-cran-countrycode, r-cran-dplyr, r-cran-ggplot2, r-cran-golem, r-cran-httr, r-cran-jsonlite, r-cran-maps, r-cran-sf, r-cran-shiny, r-cran-shinybs, r-cran-shinyjs, r-cran-shinywidgets, r-cran-viridis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fishrman_1.2.3-1.ca2004.1_all.deb
Size: 597180
MD5sum: 85821519ab5411aaf89c7f5a646420db
SHA1: 5a556f47216ec78d9ac6c0af0344cc2d8dcc441a
SHA256: a80905010a5ef80cb6a5060309652d58a27020a3b83f545a1de18488113338c8
SHA512: d8749eca469307f715686dbbdcb83c97b5d41a01b7c9ee4fa09cd5cb62f71374dc0e43850663498e643b67d814c8fd7749486aa857afecec271c185d832079d3
Homepage: https://cran.r-project.org/package=fishRman
Description: CRAN Package 'fishRman' (The Fisheries Scientist's Toolbox)
 A bundle of analytics tools for fisheries scientists. A 'shiny' R App is
 included for a 'no-code' solution for retrieval, analysis, and
 visualization.

Package: r-cran-fishstat
Architecture: all
Version: 2025.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4719
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-areaplot
Filename: pool/dists/focal/main/r-cran-fishstat_2025.1.0.1-1.ca2004.1_all.deb
Size: 4615136
MD5sum: 3bd4f82dc4291c64ae88eae0fea52a78
SHA1: 6c44e0889c016aaaad081eccf8cd8fcad79238c2
SHA256: 77fd308c7b6830d19bbcd2fab56e69d57e4a43c0a8944ae8c4d54430fba080f9
SHA512: ff8c60995a8ed296c406c3a799e0ce20d8112966926662d65b47034b268659a7dcbd5fe082a2c1ebc3107c5e0e8b10a5c430f79fd025a99b6e0d5a4b4c3ed222
Homepage: https://cran.r-project.org/package=fishstat
Description: CRAN Package 'fishstat' (Global Fishery and Aquaculture Statistics)
 The Food and Agriculture Organization of the United Nations (FAO) FishStat
 database is the leading source of global fishery and aquaculture statistics
 and provides unique information for sector analysis and monitoring.  This
 package provides the global production data from all fisheries and
 aquaculture in R format, ready for analysis.

Package: r-cran-fishtree
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-jsonlite, r-cran-memoise, r-cran-rlang
Suggests: r-cran-diversitree, r-cran-geiger, r-cran-hisse, r-cran-knitr, r-cran-markdown, r-cran-phytools, r-cran-picante, r-cran-rfishbase, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fishtree_0.3.4-1.ca2004.1_all.deb
Size: 387788
MD5sum: d16a27d43b7d3ebcfb371de1b50519ad
SHA1: 3eceec3b19be0e79bca864fa7680464fc9dcd9b6
SHA256: d0a99556671d2d833087979d5b299f81b8c8636147ed406707282999b08bacc4
SHA512: 5811878dbd3e9cbeb8b99765ec7a15cf1fca6ec243a4b6ec435e16e3f437f9d5ea44f319172baf6f70c0f025f13f40df938ef322ace29e62cfeced2fd9002a42
Homepage: https://cran.r-project.org/package=fishtree
Description: CRAN Package 'fishtree' (Interface to the Fish Tree of Life API)
 An interface to the Fish Tree of Life API to download taxonomies,
 phylogenies, fossil calibrations, and diversification rate information for
 ray-finned fishes.

Package: r-cran-fishualize
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1455
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-png, r-cran-downloader, r-cran-httr, r-cran-magrittr, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-scales, r-cran-rlang, r-cran-curl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rfishbase, r-cran-rnaturalearth, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-fishualize_0.2.3-1.ca2004.1_all.deb
Size: 1017644
MD5sum: d0d0473635c92358abceb484fbf128d0
SHA1: a20f9db144696ad3d05fe95c7d1f4ecf0c163a44
SHA256: db17f54bf09fdf0121cc623fa4b3e75e1d5e6a357f63f0928872286726365700
SHA512: a689813576180f0f99957acf681c54d2b55400de9f566fe7fbb31d0bdc63ff0b2362422c79b3fdda36afb5bcbbc82db85231fb7e958d05268021a69cd3a9a0d1
Homepage: https://cran.r-project.org/package=fishualize
Description: CRAN Package 'fishualize' (Color Palettes Based on Fish Species)
 Implementation of color palettes based on fish species.

Package: r-cran-fit.models
Architecture: all
Version: 0.64-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-fit.models_0.64-1.ca2004.1_all.deb
Size: 133872
MD5sum: fbd9cc676437e2f8fd61db741205382c
SHA1: 8752bcb1589aa128e847030e4f8b553f3a977cf1
SHA256: 1a1e4c6ca028fcdc11e7612953b60dc18e8cfc89d49277dcccfffd704b2ec854
SHA512: e71f0e44e08204258431e08e55708f4d2209da0e8c4685eaa70e3db1ceb9e2baee59c9374a86beb9bbb5fd4a7353fbb6c5e57628b6e0e14591527d69eef798c9
Homepage: https://cran.r-project.org/package=fit.models
Description: CRAN Package 'fit.models' (Compare Fitted Models)
 The fit.models function and its associated methods (coefficients, print,
 summary, plot, etc.) were originally provided in the robust package to
 compare robustly and classically fitted model objects. See chapters 2, 3,
 and 5 in Insightful (2002) 'Robust Library User's Guide'
 <http://robust.r-forge.r-project.org/Robust.pdf>). The aim of the fit.models
 package is to separate this fitted model object comparison functionality
 from the robust package and to extend it to support fitting methods (e.g.,
 classical, robust, Bayesian, regularized, etc.) more generally.

Package: r-cran-fitbitr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-checkmate, r-cran-devtools, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fitbitr_0.3.0-1.ca2004.1_all.deb
Size: 443204
MD5sum: 985021250f24fe84bfdb9ecc2eae87a5
SHA1: 04558e597c6009a313aa45f1d4f9d1bf18b10c7e
SHA256: b1b0aaaeeca89faf827e562b8c962bf6f697866933652a0d75bc3b87e5fba59f
SHA512: 0046f1ea88999e512c480aa1b6bfc7c9df38e360272230c2760eb3f5001d4fa5a510486f3447b926db956482304c26c250dc38599901ed4756e3d5f9d92dd0ea
Homepage: https://cran.r-project.org/package=fitbitr
Description: CRAN Package 'fitbitr' (Interface with the 'Fitbit' API)
 Many 'Fitbit' users, and R-friendly 'Fitbit' users especially, have found
 themselves curious about their 'Fitbit' data.  'Fitbit' aggregates a large
 amount of personal data, much of which is interesting for personal research
 and to satisfy curiosity, and is even potentially useful in medical
 settings. The goal of 'fitbitr' is to make interfacing with the 'Fitbit' API
 as streamlined as possible, to make it simple for R users of all backgrounds
 and comfort levels to analyze their 'Fitbit' data and do whatever they want
 with it!  Currently, 'fitbitr' includes methods for pulling data on
 activity, sleep, and heart rate, but this list is likely to grow in the
 future as the package gains more traction and more requests for new methods
 to be implemented come in.  You can find details on the 'Fitbit' API at
 <https://dev.fitbit.com/build/reference/web-api/>.

Package: r-cran-fitbitscraper
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-stringr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-fitbitscraper_0.1.8-1.ca2004.1_all.deb
Size: 57744
MD5sum: dd7b721719c6089522217372d2a29b3a
SHA1: dd16f0a98506e753ae81a235172d949e00aac01a
SHA256: 0f3466ca06125909b9589a5a3e4aca8594959e4e718ad4a54d16b821209589ad
SHA512: e9df511087619477a2606d01999dca598a4b598ab92c276465942995a5443ab101237c369e4d45d0275d449f37418a10fc3edde64810c353442386b641ce8a87
Homepage: https://cran.r-project.org/package=fitbitScraper
Description: CRAN Package 'fitbitScraper' (Scrapes Data from Fitbit)
 Scrapes data from Fitbit <http://www.fitbit.com>. This does not use the
 official API, but instead uses the API that the web dashboard uses to
 generate the graphs displayed on the dashboard after login at
 <http://www.fitbit.com>.

Package: r-cran-fitbitviz
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5706
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-ggplot2, r-cran-lubridate, r-cran-patchwork, r-cran-data.table, r-cran-viridis, r-cran-scales, r-cran-ggthemes, r-cran-varian, r-cran-paletteer, r-cran-xml, r-cran-hms, r-cran-leaflet, r-cran-sf, r-cran-rstudioapi, r-cran-leafgl, r-cran-raster, r-cran-terra, r-cran-magrittr, r-cran-rayshader, r-cran-base64enc, r-cran-lifecycle, r-cran-reshape2
Suggests: r-cran-copernicusdem, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dt, r-cran-rgl, r-cran-magick
Filename: pool/dists/focal/main/r-cran-fitbitviz_1.0.7-1.ca2004.1_all.deb
Size: 2791744
MD5sum: 5c222a317db83fb5274bc3713438c5c6
SHA1: 6dfddbffcbc27fe737589ca715080f8294da3605
SHA256: ba019cacaab2932a44814794476b75438c2ea473291266f7c5ef245747b5688d
SHA512: 5749759126febc1658b417bc8d62ed85256799aa8515ab3ec04ebe752d28b10ada6f3c62a1cc82cfe005c42eef5c1ca5db7be8fabaf2970773199bd0d0e7d221
Homepage: https://cran.r-project.org/package=fitbitViz
Description: CRAN Package 'fitbitViz' ('Fitbit' Visualizations)
 Connection to the 'Fitbit' Web API
 <https://dev.fitbit.com/build/reference/web-api/> by including 'ggplot2'
 Visualizations, 'Leaflet' and 3-dimensional 'Rayshader' Maps. The
 3-dimensional 'Rayshader' Map requires the installation of the
 'CopernicusDEM' R package which includes the 30- and 90-meter elevation
 data.

Package: r-cran-fitconic
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-fitconic_1.2.1-1.ca2004.1_all.deb
Size: 91212
MD5sum: 7b01a77125c857c50662b331e52e71fd
SHA1: d6db30e429d83ae5849ece7d9273f75c719a4717
SHA256: e9166fca9ae09f01e38d50a5a199a639afc3c7374b35828b7f2e732f7fc1a4fe
SHA512: ba6ca702f1ca0f3d50f8687cddd0591b9ca267f69ac1e02c847b9556b87fba62b01a52ce97fdc924773181b3cdeae3a62222dc2ea29025fea4390f565162db86
Homepage: https://cran.r-project.org/package=fitConic
Description: CRAN Package 'fitConic' (Fit Data to Any Conic Section)
 Fit data to an ellipse, hyperbola, or parabola. Bootstrapping is available
 when needed. The conic curve can be rotated through an arbitrary angle and
 the fit will still succeed. Helper functions are provided to convert
 generator coefficients from one style to another, generate test data sets,
 rotate conic section parameters, and so on. References include Nikolai
 Chernov (2014) "Fitting ellipses, circles, and lines by least squares"
 <https://people.cas.uab.edu/~mosya/cl/>; A. W. Fitzgibbon, M. Pilu, R. B.
 Fisher (1999) "Direct Least Squares Fitting of Ellipses" IEEE Trans. PAMI,
 Vol. 21, pages 476-48; N. Chernov, Q. Huang, and H. Ma (2014) "Fitting
 quadratic curves to data points", British Journal of Mathematics & Computer
 Science, 4, 33-60; N. Chernov and H. Ma (2011) "Least squares fitting of
 quadratic curves and surfaces", Computer Vision, Editor S. R. Yoshida, Nova
 Science Publishers, pp. 285-302.

Package: r-cran-fitdistcp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4576
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mev, r-cran-extradistr, r-cran-gnorm, r-cran-fdrtool, r-cran-pracma, r-cran-rust, r-cran-actuar, r-cran-fextremes
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fitdistcp_0.1.1-1.ca2004.1_all.deb
Size: 3859888
MD5sum: dd223a77ddc71a5449cf0c1af8287903
SHA1: c4c5e13ee06826b21c6ac7a4d7f43fed903ba1f3
SHA256: 38579fcb7772ddb1808818c10a2f5cc1825bc67464f20372b83d138d832359f5
SHA512: 6925bf3f3948aa1e7106ff88fae8e507f0eea130f1cee131a2111dc76b78da79d78dd1db7dec014abcf822705687ff9778524f49caeeb8f88540c77efff3e19f
Homepage: https://cran.r-project.org/package=fitdistcp
Description: CRAN Package 'fitdistcp' (Distribution Fitting with Calibrating Priors for Commonly UsedDistributions)
 Generates predictive distributions based on calibrating priors for various
 commonly used statistical models, including models with predictors. Routines
 for densities, probabilities, quantiles, random deviates and the parameter
 posterior are provided. The predictions are generated from the Bayesian
 prediction integral, with priors chosen to give good reliability (also known
 as calibration). For homogeneous models, the prior is set to the right Haar
 prior, giving predictions which are exactly reliable. As a result, in
 repeated testing, the frequencies of out-of-sample outcomes and the
 probabilities from the predictions agree.  For other models, the prior is
 chosen to give good reliability. Where possible, the Bayesian prediction
 integral is solved exactly. Where exact solutions are not possible, the
 Bayesian prediction integral is solved using the
 Datta-Mukerjee-Ghosh-Sweeting (DMGS) asymptotic expansion.  Optionally, the
 prediction integral can also be solved using posterior samples generated
 using Paul Northrop's ratio of uniforms sampling package ('rust'). Results
 are also generated based on maximum likelihood, for comparison purposes.
 Various model selection diagnostics and testing routines are included. Based
 on "Reducing reliability bias in assessments of extreme weather risk using
 calibrating priors", Jewson, S., Sweeting, T.  and Jewson, L. (2024);
 <doi:10.5194/ascmo-11-1-2025>.

Package: r-cran-fitdistrplus
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3487
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-rlang
Suggests: r-cran-actuar, r-cran-rgenoud, r-cran-mc2d, r-cran-gamlss.dist, r-cran-knitr, r-cran-ggplot2, r-cran-generalizedhyperbolic, r-cran-rmarkdown, r-cran-hmisc, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-fitdistrplus_1.2-2-1.ca2004.1_all.deb
Size: 2356696
MD5sum: c5be0d9d2e061a346321f4e34cc7b657
SHA1: 68bdcc1e6e6dcca43b1ee4ddba21f9d8f7dfb773
SHA256: 00a1633330c6f6ddf0bb9c81f6b7d1264eb412f86c1fb4f6a3d34bd9153521a8
SHA512: a880f191f2b0b2fef0b6e5bfbde72c2342da8523921d66030d611797d40811035d7738749cc132cc9286999b7dfc6fc5858fa1a5a8a335cc86764fb6772f248b
Homepage: https://cran.r-project.org/package=fitdistrplus
Description: CRAN Package 'fitdistrplus' (Help to Fit of a Parametric Distribution to Non-Censored orCensored Data)
 Extends the fitdistr() function (of the MASS package) with several functions
 to help the fit of a parametric distribution to non-censored or censored
 data.  Censored data may contain left censored, right censored and interval
 censored values, with several lower and upper bounds. In addition to maximum
 likelihood estimation (MLE), the package provides moment matching (MME),
 quantile matching (QME), maximum goodness-of-fit estimation (MGE) and
 maximum spacing estimation (MSE) methods (available only for non-censored
 data). Weighted versions of MLE, MME, QME and MSE are available. See e.g.
 Casella & Berger (2002), Statistical inference, Pacific Grove, for a general
 introduction to parametric estimation.

Package: r-cran-fitdynmix
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-evir, r-cran-mass, r-cran-pracma, r-cran-rdpack, r-cran-ks
Filename: pool/dists/focal/main/r-cran-fitdynmix_1.0.1-1.ca2004.1_all.deb
Size: 106092
MD5sum: 0c045b6698c3636a1cd3e3c419a82e03
SHA1: 5f39b80a60a15011c17d71085bcb936f63c356f7
SHA256: ed589130047c87623a3867383dd95222efc4b2f2ddae5bfb86ddfdcbc96b8998
SHA512: 1c7d82e939811aa0982fb3d58390e8d1129eb8215649640c6d04e839107968c0c2fcadfb21826ec75125188d2e81bc55cb255dd8527e9a53b65b2f91c553dd40
Homepage: https://cran.r-project.org/package=FitDynMix
Description: CRAN Package 'FitDynMix' (Estimation of Dynamic Mixtures)
 Estimation of a dynamic lognormal - Generalized Pareto mixture via the
 Approximate Maximum Likelihood and the Cross-Entropy methods. See Bee, M.
 (2023) <doi:10.1016/j.csda.2023.107764>.

Package: r-cran-fitheavytail
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1332
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-icsnp, r-cran-mvtnorm, r-cran-ghyp, r-cran-numderiv
Suggests: r-cran-ggplot2, r-cran-reshape2, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fitheavytail_0.2.0-1.ca2004.1_all.deb
Size: 729788
MD5sum: 85b88893adda90a3fe16dc4cdcbed5df
SHA1: 74b1fba80c12c39177ea6c11802636d0e8f41e21
SHA256: 0a909df1d5ac97f51c90afc50553092b789e9f863d5b77839389c4ba1a03c9f7
SHA512: 0f3ce50501d7c8641add4c124d75cec1ae731167f3c3dbb4851b3641a9c8393392b07b3a72222e9ffd514c4ebbe6d37bb0200e4e8ba253b523245961cfc9d415
Homepage: https://cran.r-project.org/package=fitHeavyTail
Description: CRAN Package 'fitHeavyTail' (Mean and Covariance Matrix Estimation under Heavy Tails)
 Robust estimation methods for the mean vector, scatter matrix, and
 covariance matrix (if it exists) from data (possibly containing NAs) under
 multivariate heavy-tailed distributions such as angular Gaussian (via
 Tyler's method), Cauchy, and Student's t distributions. Additionally, a
 factor model structure can be specified for the covariance matrix. The
 latest revision also includes the multivariate skewed t distribution.  The
 package is based on the papers: Sun, Babu, and Palomar (2014); Sun, Babu,
 and Palomar (2015); Liu and Rubin (1995); Zhou, Liu, Kumar, and Palomar
 (2019); Pascal, Ollila, and Palomar (2021).

Package: r-cran-fitlandr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-furrr, r-cran-future.apply, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-mass, r-cran-numderiv, r-cran-plotly, r-cran-r.utils, r-cran-rfast, r-cran-rlang, r-cran-rootsolve, r-cran-simlandr, r-cran-sparsevfc, r-cran-tidyr
Suggests: r-cran-akima, r-cran-colorramps, r-cran-future
Filename: pool/dists/focal/main/r-cran-fitlandr_0.1.0-1.ca2004.1_all.deb
Size: 220884
MD5sum: 17d9460cf9c1784322dc7903107cb0ef
SHA1: fd24d79352c4fbc10caddb9e0dd9f35173a6c1d5
SHA256: d3f6d7a90a3a16f4bcd64d0af7d1baa062787f48e87f28cfd3d91657d33c6a98
SHA512: 77d635ce0a30fcecc0f8a6cea060942345f33c6d45a2ae79a79c9564691ed68a5bd121df4a868bc742ab35d1982514c5fdd1d83a09cdda6c3f5724d14a6be5ae
Homepage: https://cran.r-project.org/package=fitlandr
Description: CRAN Package 'fitlandr' (Fit Vector Fields and Potential Landscapes from IntensiveLongitudinal Data)
 A toolbox for estimating vector fields from intensive longitudinal data, and
 construct potential landscapes thereafter. The vector fields can be
 estimated with two nonparametric methods: the Multivariate Vector Field
 Kernel Estimator (MVKE) by Bandi & Moloche (2018)
 <doi:10.1017/S0266466617000305> and the Sparse Vector Field Consensus
 (SparseVFC) algorithm by Ma et al.  (2013)
 <doi:10.1016/j.patcog.2013.05.017>. The potential landscapes can be
 constructed with a simulation-based approach with the 'simlandr' package
 (Cui et al., 2021) <doi:10.31234/osf.io/pzva3>, or the Bhattacharya et al.
 (2011) method for path integration <doi:10.1186/1752-0509-5-85>.

Package: r-cran-fitmix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fitmix_0.1.0-1.ca2004.1_all.deb
Size: 43308
MD5sum: 866eb6a48423439238ba2a5af9eff6b8
SHA1: 02c35ffbaa839430346d40f82062eb7be12bace3
SHA256: ccff170e9a8acfe8777619fb39aeb9d11a67a64d7bdca566ea9030ce3fe7f779
SHA512: 6bb461ce7a132e06ef4c3a69290b032885532e934d68bef52106316b1e2921f2acee96f95fcd2078df5e8fb38210ebfe70241e40ea9e521098e84e72ccd0bdcd
Homepage: https://cran.r-project.org/package=fitmix
Description: CRAN Package 'fitmix' (Finite Mixture Model Fitting of Lifespan Datasets)
 Fits the lifespan datasets of biological systems such as yeast, fruit flies,
 and other similar biological units with well-known finite mixture models
 introduced by Farewell V. (1982) <doi:10.2307/2529885> and Al-Hussaini et
 al. (2000) <doi:10.1080/00949650008812033>. Estimates parameter space
 fitting of a lifespan dataset with finite mixtures of parametric
 distributions. Computes the following tasks; 1) Estimates parameter space of
 the finite mixture model by implementing the expectation maximization (EM)
 algorithm. 2) Finds a sequence of four goodness-of-fit measures consist of
 Akaike Information Criterion (AIC), Bayesian Information Criterion (BIC),
 Kolmogorov-Smirnov (KS), and log-likelihood (log-likelihood) statistics.
 3)The initial values is determined by k-means clustering.

Package: r-cran-fitodbod
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 810
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-hypergeo, r-cran-mass, r-cran-mvtnorm, r-cran-rdpack
Suggests: r-cran-flextable, r-cran-ggplot2, r-cran-ggthemes, r-cran-gridextra, r-cran-knitr, r-cran-reshape2, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-fitodbod_1.5.4-1.ca2004.1_all.deb
Size: 721476
MD5sum: b5e3a61617599aad45b0c3b961f06f5f
SHA1: 511bc07f452a7a39693540a2508e1afc474de86e
SHA256: 19455639ef3db15a1a38a1fa8bf12d776a7f57fd8c098ff19425d112f81637b2
SHA512: 0f3d5b7baf960f70c43f2b744a9c98185124a277834b24661cf9a93f95de938d4a44e71ff9a3e07fdef1e715bd101948952c7e165e5db2c75fae8d3a5c643d53
Homepage: https://cran.r-project.org/package=fitODBOD
Description: CRAN Package 'fitODBOD' (Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD)
 Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log
 Likelihood value, parameter estimation and modeling data using Binomial
 Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>)
 and Alternate Binomial Distributions (ABD) (Paul (1985)
 <doi:10.1080/03610928508828990>), also Journal article to use the
 package(<doi:10.21105/joss.01505>).

Package: r-cran-fitodbodrshiny
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5556
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bslib, r-cran-config, r-cran-flextable, r-cran-ggplot2, r-cran-golem, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyscreenshot
Filename: pool/dists/focal/main/r-cran-fitodbodrshiny_1.0.2-1.ca2004.1_all.deb
Size: 2832320
MD5sum: 73cd09122006d7326577257337170eb6
SHA1: f737b87233ee28d88363ffe5145be9f96a787d90
SHA256: 1d982a52fcc7a6c4061ed08faa240c5e2926a2dbdb3201429d5cd68ff1b1e3d2
SHA512: 5d214a868668b969f34114311c9e8fd029009654cbbce6953879c8587f8d8dc5fbcce90d02a833f3bff55b534c7171408ae9943cf80e730e10d171bb19808f85
Homepage: https://cran.r-project.org/package=fitODBODRshiny
Description: CRAN Package 'fitODBODRshiny' ('Shiny' Application for R Package 'fitODBOD')
 For binomial outcome data Alternate Binomial Distributions and Binomial
 Mixture Distributions are fitted when overdispersion is available.

Package: r-cran-fitode
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bbmle, r-cran-desolve, r-cran-deriv, r-cran-mass, r-cran-numderiv, r-cran-mvtnorm, r-cran-coda
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fitode_0.1.1-1.ca2004.1_all.deb
Size: 678436
MD5sum: 8e74f2e36da9d92dd06c12aaee178b74
SHA1: 9890c229106cf6beba716a2a1948a587c8929bd3
SHA256: fe1e9a558f6d8f452f0d2a92dcfdf4d7c7ace619bc23f8ebbcbf7e05716dddf1
SHA512: ea7666b5c9cdd0d6058eb1db16e83bd09f39f91dcfb0553b6c1163db9de486fe60feeca826e06df410f1c24d64efaf5e1bcdf9d30e6aaf23ec7dd797b6cb77fe
Homepage: https://cran.r-project.org/package=fitode
Description: CRAN Package 'fitode' (Tools for Ordinary Differential Equations Model Fitting)
 Methods and functions for fitting ordinary differential equations (ODE)
 model in 'R'. Sensitivity equations are used to compute the gradients of ODE
 trajectories with respect to underlying parameters, which in turn allows for
 more stable fitting. Other fitting methods, such as MCMC (Markov chain Monte
 Carlo), are also available.

Package: r-cran-fitplc
Architecture: all
Version: 1.2-3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-car
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fitplc_1.2-3.1-1.ca2004.1_all.deb
Size: 88692
MD5sum: 6d684b1a1756bc8151cf4c37e716bc6f
SHA1: cca554005da8327574404b26295fe4c0d73b35a1
SHA256: 0419f56a52a31038babe14645c6c5a4e10548dfe92488b4dc1d9b9e4ee7eca7d
SHA512: d99e5c20a2f005db7411c0019ceb521aafe3363034982f303f0e0774ffacddd50da983c374d79c9f3d224b9103f452219a9582a59fc0f32f070596d8df984be5
Homepage: https://cran.r-project.org/package=fitplc
Description: CRAN Package 'fitplc' (Fit Hydraulic Vulnerability Curves)
 Fits Weibull or sigmoidal models to percent loss conductivity (plc) curves
 as a function of plant water potential, computes confidence intervals of
 parameter estimates and predictions with bootstrap or parametric methods,
 and provides convenient plotting methods.

Package: r-cran-fitpoly
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2001
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-devemf, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fitpoly_4.0.0-1.ca2004.1_all.deb
Size: 1863512
MD5sum: d3702cef1cfc184a23e639572ce1a7b2
SHA1: 790bb73785bbe156495275381899d4c6895ce666
SHA256: 77bc40a815b0dabac77299303e6ac1a58d61a0b0f5bb02cc2a448e2ee84bbe93
SHA512: 1210b721228ad0cf9cdced65012b4aaed2f23717f8de9787a32f8ef1785f28752fa4b0c98ae25092652b88ae6e7c3ec8bcd4a8ee717b454ad3744f90a7db9d08
Homepage: https://cran.r-project.org/package=fitPoly
Description: CRAN Package 'fitPoly' (Genotype Calling for Bi-Allelic Marker Assays)
 Genotyping assays for bi-allelic markers (e.g. SNPs) produce signal
 intensities for the two alleles. 'fitPoly' assigns genotypes (allele
 dosages) to a collection of polyploid samples based on these signal
 intensities. 'fitPoly' replaces the older package 'fitTetra' that was
 limited (a.o.) to only tetraploid populations whereas 'fitPoly' accepts any
 ploidy level. Reference: Voorrips RE, Gort G, Vosman B (2011)
 <doi:10.1186/1471-2105-12-172>.  New functions added on conversion of data
 from SNP array software formats, drawing of XY-scatterplots with or without
 genotype colors, checking against expected F1 segregation patterns,
 comparing results from two different assays (probes) for the same SNP,
 recovery from a saveMarkerModels() crash.

Package: r-cran-fitps
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-dplyr, r-cran-hmisc, r-cran-iterators, r-cran-knitr, r-cran-ks, r-cran-pbapply, r-cran-rdpack, r-cran-readxl, r-cran-vgam
Suggests: r-cran-sp, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-fitps_1.0.1-1.ca2004.1_all.deb
Size: 485552
MD5sum: c3e6d7fb49b725ff8b3071bcd4a724ad
SHA1: f5aac13ba737e55b03864d468ec0b86fcb36184e
SHA256: 7f18e54ddb704ad2f79d7bea6267537e94341732b0c58f687c5bc829fd86522e
SHA512: 44f1123adc2f38761ab3273161c52129ed1c6da06f95fbf69eb7d32fcecd765cf3fb5cd322c83f3a3f6f54e2ba23c17e9d0bd72bd4f75f7a69806cc31144fa74
Homepage: https://cran.r-project.org/package=fitPS
Description: CRAN Package 'fitPS' (Fit Zeta Distributions to Forensic Data)
 Fits Zeta distributions (discrete power laws) to data that arises from
 forensic surveys of clothing on the presence of glass and paint in various
 populations. The general method is described to some extent in Coulson,
 S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001)
 <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.

Package: r-cran-fitscape
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fitscape_0.1.0-1.ca2004.1_all.deb
Size: 23916
MD5sum: 4b0b697b04e832de50e18c4303e195cc
SHA1: 720aee5305ba85c65992b5fa23c871b1f0526321
SHA256: 0d799a1af95a0d3f09bc808a7d572a469d1b2a7eeeecf079548aa36c9587176b
SHA512: f770bd6ceb5eaf28563cc7aa1cb41e27f9bf00c15de562a53af8ea295f9429cb41a7ce393c51b1a221b64f740d9155ee54b6af0fdba1a5b9878a23d11df3ee0c
Homepage: https://cran.r-project.org/package=fitscape
Description: CRAN Package 'fitscape' (Classes for Fitness Landscapes and Seascapes)
 Convenient classes to model fitness landscapes and fitness seascapes. A
 low-level package with which most users will not interact but upon which
 other packages modeling fitness landscapes and fitness seascapes will
 depend.

Package: r-cran-fitsio
Architecture: all
Version: 2.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fitsio_2.1-6-1.ca2004.1_all.deb
Size: 132864
MD5sum: 5b1c50f7517041ef85856c235d07d6db
SHA1: ca511111f621c6fadc9cc1566ababd1435d4441c
SHA256: 24e48e8c846eb807a9f9c3eb7102c1d9b0a24eb2d96b516c1058c7f6eddde91a
SHA512: da24f9c89e643146a8ca17d070889eb148c9c7621c103e2eaf7462cabfcbac93a83d7740c49f4b468dc7afc8e961a7f8635fb6afbdadba48927bdbba9b002adb
Homepage: https://cran.r-project.org/package=FITSio
Description: CRAN Package 'FITSio' (FITS (Flexible Image Transport System) Utilities)
 Utilities to read and write files in the FITS (Flexible Image Transport
 System) format, a standard format in astronomy (see e.g.
 <https://en.wikipedia.org/wiki/FITS> for more information).  Present
 low-level routines allow: reading, parsing, and modifying FITS headers;
 reading FITS images (multi-dimensional arrays); reading FITS binary and
 ASCII tables; and writing FITS images (multi-dimensional arrays).
 Higher-level functions allow: reading files composed of one or more headers
 and a single (perhaps multidimensional) image or single table; reading
 tables into data frames; generating vectors for image array axes; scaling
 and writing images as 16-bit integers.  Known incompletenesses are reading
 random group extensions, as well as complex and array descriptor data types
 in binary tables.

Package: r-cran-fitter
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dt, r-cran-shiny, r-cran-dplyr, r-cran-maxlik, r-cran-r.utils
Suggests: r-cran-actuar, r-cran-ald, r-cran-benchden, r-cran-biasedurn, r-cran-bridgedist, r-cran-davies, r-cran-discreteinverseweibull, r-cran-discretelaplace, r-cran-discreteweibull, r-cran-emdbook, r-cran-emg, r-cran-envstats, r-cran-evd, r-cran-evir, r-cran-extdist, r-cran-extremefit, r-cran-fadist, r-cran-fattailsr, r-cran-fbasics, r-cran-fextremes, r-cran-flexsurv, r-cran-gambin, r-cran-gb, r-cran-genbinomapps, r-cran-generalizedhyperbolic, r-cran-gld, r-cran-gldex, r-cran-glogis, r-cran-gsm, r-cran-hermite, r-cran-hyperbolicdist, r-cran-kscorrect, r-cran-loglognorm, r-cran-marg, r-cran-mc2d, r-cran-minimax, r-cran-msm, r-cran-ncdunnett, r-cran-normallaplace, r-cran-normalp, r-cran-paretoposstable, r-cran-pearsonds, r-cran-poistweedie, r-cran-polyaaeppli, r-cran-qmap, r-cran-qrm, r-cran-reins, r-cran-renext, r-cran-revdbayes, r-cran-rmkdiscrete, r-cran-rmtstat, r-cran-sadists, r-cran-skellam, r-cran-skewhyperbolic, r-cran-skewt, r-cran-smr, r-cran-sn, r-cran-stabledist, r-cran-star, r-cran-statmod, r-cran-trapezoid, r-cran-triangle, r-cran-truncnorm, r-cran-variancegamma
Filename: pool/dists/focal/main/r-cran-fitter_0.2.0-1.ca2004.1_all.deb
Size: 72876
MD5sum: d3b3b6e33c3578ef50a76f4a63cb4a6b
SHA1: 93cfe46fab5a7058f2fb5ff9af338fc301d48a38
SHA256: 64e47bf9cb999d29f7e84006fed2872f946478eb41cfb1f3d3027a9eb6932037
SHA512: 91863687301b11943a9b51ac1a6648de2783c78db6de34bab038a0bd4cc0c27d5e12d6cff22a3a332cd1624e26ef4a1b9c79d668274235bcaa82427f052f2639
Homepage: https://cran.r-project.org/package=fitteR
Description: CRAN Package 'fitteR' (Fit Hundreds of Theoretical Distributions to Empirical Data)
 Systematic fit of hundreds of theoretical univariate distributions to
 empirical data via maximum likelihood estimation. Fits are reported and
 summarized by a data.frame, a csv file or a 'shiny' app (here with
 additional features like visual representation of fits). All output formats
 provide assessment of goodness-of-fit by the following methods:
 Kolmogorov-Smirnov test, Shapiro-Wilks test, Anderson-Darling test.

Package: r-cran-fittetra
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 894
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-domc, r-cran-foreach, r-cran-devemf
Filename: pool/dists/focal/main/r-cran-fittetra_1.0-1.ca2004.1_all.deb
Size: 883676
MD5sum: 7d75f6a56bf34bcc0b43aa198838051e
SHA1: d6037dc21b978f685c829c2f1094a8fa22147783
SHA256: 5832e8dcc5db41409b0625d45606a2a759d43dd75819f571a570ccc64bfcf091
SHA512: ef505e6b952b5d2d47eb9d5c53ea1e770e2253ab6de7d3c740902d0fbb65b94363d9c20462fc35966fdc9b20ec4b71d312a756b412b5cdfaf085827b78b7967b
Homepage: https://cran.r-project.org/package=fitTetra
Description: CRAN Package 'fitTetra' (fitTetra is an R package for assigning tetraploid genotypescores)
 Package fitTetra contains three functions that can be used to assign
 genotypes to a collection of tetraploid samples based on bialleleic marker
 assays. Functions fitTetra (to fit several models for one marker from the
 data and select the best fitting) or saveMarkerModels (calls fitTetra for
 multiple markers and saves the results to files) will probably be the most
 convenient to use. Function CodomMarker offers more control and fits one
 specified model for a given marker.

Package: r-cran-fitultd
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-adgoftest, r-cran-fitdistrplus, r-cran-assertthat, r-cran-mass, r-cran-purrr, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-fitultd_3.1.0-1.ca2004.1_all.deb
Size: 60764
MD5sum: a1c144e8da75eb8a9255b9ec3c97edd0
SHA1: 4e2cf51fbaa74e0d4d2e967752657f5632e31bc3
SHA256: e74e238ca210606c1f4fb73fddc8cf071e56389c157ea11bdd54b4fee96f823c
SHA512: bcb85878256592bcb63a3c379f99fc5dd205a1b75fbb272327482d188b8825b5ca61b92908a76150a3b65747dcfee5ac8290c8500ac576619770aefb86c1f429
Homepage: https://cran.r-project.org/package=FitUltD
Description: CRAN Package 'FitUltD' (Fit Univariate Mixed and Usual Distributions)
 Extends the fitdist() (from 'fitdistrplus') adding the Anderson-Darling
 ad.test() (from 'ADGofTest') and Kolmogorov Smirnov Test ks.test() inside,
 trying the distributions from 'stats' package by default and offering a
 second function which uses mixed distributions to fit, this distributions
 are split with unsupervised learning, with Mclust() function (from
 'mclust').

Package: r-cran-fitur
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus, r-cran-actuar, r-cran-e1071, r-cran-ggplot2, r-cran-goftest, r-cran-miniui, r-cran-rstudioapi, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fitur_0.6.2-1.ca2004.1_all.deb
Size: 122736
MD5sum: 3e7bc132393676d26c2f9df3d6ee282b
SHA1: 492c0e0128db9a078e319a7b91b1863a5548154a
SHA256: 6fde9c902bc620ada20eb5e21e316d11400f0e5ec9193ade9ea9107e0a961a89
SHA512: a070d467da79b0b32c4db94a57cc3191b90aade775d8902ef8c63bc8f237106ad9fa5eadf4107e432454f2aa739aeb1e7a483dd76fb8cb6fb66d1087aa92e334
Homepage: https://cran.r-project.org/package=fitur
Description: CRAN Package 'fitur' (Fit Univariate Distributions)
 Wrapper for computing parameters for univariate distributions using MLE. It
 creates an object that stores d, p, q, r functions as well as parameters and
 statistics for diagnostics. Currently supports automated fitting from base
 and actuar packages. A manually fitting distribution fitting function is
 included to support directly specifying parameters for any distribution from
 ancillary packages.

Package: r-cran-fitzroy
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-xml2, r-cran-tibble, r-cran-glue, r-cran-cli, r-cran-lifecycle, r-cran-httr2, r-cran-janitor
Suggests: r-cran-covr, r-cran-elo, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-spelling, r-cran-curl
Filename: pool/dists/focal/main/r-cran-fitzroy_1.6.0-1.ca2004.1_all.deb
Size: 1678088
MD5sum: 3ec3f7408be80ff06fb7d62623b37a01
SHA1: ddea3f340fca94e5625f31e0072b4e0caf47a9bd
SHA256: 48be4e79a9b803b5582926306416c57e7120ebdde574dbcc841ebcadbcc056e0
SHA512: 1e1f1cc4725cfd3e21009d336a1a5e14a2b7c02acc8dc57408209c38aa540ad120cd1d1241ee8d0ff1d35d7c6f4f660ff85db2bc7699f3a5eb87ea09c0a47550
Homepage: https://cran.r-project.org/package=fitzRoy
Description: CRAN Package 'fitzRoy' (Easily Scrape and Process AFL Data)
 An easy package for scraping and processing Australia Rules Football (AFL)
 data. 'fitzRoy' provides a range of functions for accessing publicly
 available data from 'AFL Tables' <https://afltables.com/afl/afl_index.html>,
 'Footy Wire' <https://www.footywire.com> and 'The Squiggle'
 <https://squiggle.com.au>. Further functions allow for easy processing,
 cleaning and transformation of this data into formats that can be used for
 analysis.

Package: r-cran-fivethirtyeight
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5060
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-tibble, r-cran-stringr, r-cran-broom, r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-fivethirtyeight_0.6.2-1.ca2004.1_all.deb
Size: 4584868
MD5sum: 139f1cff91bbbe3cc977a73e8be917ae
SHA1: 5a848c31f71e0bbc4d58562ea1d8b4dbc27cceb1
SHA256: 4cb0ccc88810b9c1a123fae51eb8e8659a5a40ec6c63e040f44c5d38680313af
SHA512: 0be18984edc3b117ddad4cb28ec77dcfb00831fef741d5dc7a863c2fec1e8f24d828aef66ea817045f0de01023bd013f2a5c832609c0242902f2eeefc54e2909
Homepage: https://cran.r-project.org/package=fivethirtyeight
Description: CRAN Package 'fivethirtyeight' (Data and Code Behind the Stories and Interactives at'FiveThirtyEight')
 Datasets and code published by the data journalism website 'FiveThirtyEight'
 available at <https://github.com/fivethirtyeight/data>.  Note that while we
 received guidance from editors at 'FiveThirtyEight', this package is not
 officially published by 'FiveThirtyEight'.

Package: r-cran-fixedincome
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bizdays, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rb3, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fixedincome_0.0.5-1.ca2004.1_all.deb
Size: 637624
MD5sum: e65ed6513713304b06d6ec8bf3f199e0
SHA1: b40965015bd84d3515ba62e12b9a15b927e5306f
SHA256: eaecfbc1189fa0d98acf7f07345706e9ad82f5a04bef17911e0c4bcdeef29517
SHA512: 1a386a39b210d7cd03f661b7c617cdb954fc0f2e5bf1f90d0963d38fb5341a02382b67591516567a025558198419c94120b6385470802cd7098dd762d5191bcf
Homepage: https://cran.r-project.org/package=fixedincome
Description: CRAN Package 'fixedincome' (Fixed Income Models, Calculations, Data Structures andInstruments)
 Fixed income mathematics made easy. A rich set of functions that helps with
 calculations of interest rates and fixed income.  It has objects that
 abstract interest rates, compounding factors, day count rules, forward rates
 and term structure of interest rates.  Many interpolation methods and
 parametric curve models commonly used by practitioners are implemented.

Package: r-cran-fixedpoint
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-schumaker, r-cran-cubature, r-cran-knitr, r-cran-foreach, r-cran-doparallel, r-cran-squarem, r-cran-rmarkdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-fixedpoint_0.6.3-1.ca2004.1_all.deb
Size: 369208
MD5sum: 362d0e7e38959326c9e95d4ff9efdfad
SHA1: ebfff91628df3a44f2c89384e0c7ca2d695a19e9
SHA256: 9dabc7a401666e746c07e8c6f23bbcbf116c465df4b04468d011f54047daf823
SHA512: d8c2bb2054e35a11a78d1b48d25f9dae3ff9b5c7806a3fdc4d10d71fe30e8428f3fca6a8f17bf6bd9b4da17c928f1c6246a05fbcde9a35643c37334ee4068a96
Homepage: https://cran.r-project.org/package=FixedPoint
Description: CRAN Package 'FixedPoint' (Algorithms for Finding Fixed Point Vectors of Functions)
 For functions that take and return vectors (or scalars), this package
 provides 8 algorithms for finding fixed point vectors (vectors for which the
 inputs and outputs to the function are the same vector). These algorithms
 include Anderson (1965) acceleration <doi:10.1145/321296.321305>, epsilon
 extrapolation methods (Wynn 1962 <doi:10.2307/2004051>) and minimal
 polynomial methods (Cabay and Jackson 1976 <doi:10.1137/0713060>).

Package: r-cran-fixedpointproperty
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bayesfactor
Filename: pool/dists/focal/main/r-cran-fixedpointproperty_1.0-1.ca2004.1_all.deb
Size: 44140
MD5sum: dd4174ed547f51df08cc53d95e543617
SHA1: 7f5531689e11716ff532c940c449745e52522682
SHA256: 78f37605718085fc2bb67920493995e10ac0f92fb7266e2b8528db30a56e0aa7
SHA512: 6ebc9e7eb21b1014957fbeef18dc64ce9b331767161803e4faf3c5700fc022510c3b2f9912f54316b2c64cb9e005478167f1c337c56cd229455ac85722efcf1a
Homepage: https://cran.r-project.org/package=fixedpointproperty
Description: CRAN Package 'fixedpointproperty' (Determine and Test the Fixed-Point Property in Binary MixtureData)
 Determine and test the fixed-point property in binary mixture data.  This
 package was originally developed in the context of detecting mixture of
 cognitive processing strategies, based on observed response time
 distributions.  The method is explain in more detail by Van Maanen, De Jong,
 Van Rijn (2014) <doi:10.1371/journal.pone.0106113> and Van Maanen, Couto,
 Lebreton, (2016) <doi:10.1371/journal.pone.0167377>.

Package: r-cran-fixedtimeevents
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fixedtimeevents_1.0.1-1.ca2004.1_all.deb
Size: 53968
MD5sum: a11180fdd32a9baa572ce35252fca013
SHA1: 6527f55840c240642c2c2bc6394009f1e297019b
SHA256: 58b0c319e86c9d70de498d5e8c6b08574d222ccf8214de06b804f2dfb1c78b71
SHA512: ae5d07196475e791298262d498bd2bbbb5ead7a77dea2233e26457944fc2b37a5d645456c3450a831740f206539b1b9aa7b97393c0b712a5b012cea5d3295fa2
Homepage: https://cran.r-project.org/package=fixedTimeEvents
Description: CRAN Package 'fixedTimeEvents' (The Distribution of Distances Between Discrete Events in FixedTime)
 Distribution functions and test for over-representation of short distances
 in the Liland distribution. Simulation functions are included for
 comparison.

Package: r-cran-fixerapi
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fixerapi_0.1.6-1.ca2004.1_all.deb
Size: 40480
MD5sum: 586089425992fe0005b5c46b4b02e275
SHA1: d6a1c36253b8d5c261da5514e983822fdcc0aff9
SHA256: a92cf9f580c5116bacd01ccbe49f6dad30fed66ee98baa8013e8a7ce59096658
SHA512: 84017376908ab2e1160f3dd4a94ee6b15ebf835f93388298be65dc7f1ddf3534664311592cd11c3098a72712cc56c6f30c0fd303b4bd6f40c14d9ff5dfa2caed
Homepage: https://cran.r-project.org/package=fixerapi
Description: CRAN Package 'fixerapi' (An R Client for the "Fixer.io" Currency API)
 An R client for the "fixer.io" currency conversion and exchange rate API.
 The API requires registration and some features are only available on paid
 accounts. The full API documentation is available at
 <https://fixer.io/documentation>.

Package: r-cran-fixes
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-fixest, r-cran-broom, r-cran-tibble, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-haven
Filename: pool/dists/focal/main/r-cran-fixes_0.4.1-1.ca2004.1_all.deb
Size: 77844
MD5sum: ec92b7b7d02d72ec2d6a3efc54bee021
SHA1: 9fc90f58a02b92124b1d679ee7a9311518fe1861
SHA256: 7c26ff6c190b38a44428537ac0c51ad11cebfa937d5ca5aee288ad7ae95fa495
SHA512: eb56408a9de09088221fd50952912315d80dcc9d1a833a0319592a59e7d3910a4ca217d3f0a7a358b9a7fe725c6c589726e5cae9aa61fbff5bafa5f2ea74a59d
Homepage: https://cran.r-project.org/package=fixes
Description: CRAN Package 'fixes' (Tools for Creating and Visualizing Fixed-Effects Event StudyModels)
 Provides functions for creating, analyzing, and visualizing event study
 models using fixed-effects regression.

Package: r-cran-fixr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-httr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-fixr_0.2.0-1.ca2004.1_all.deb
Size: 67096
MD5sum: a32b2b46fa1e54d9fa858adc42e6bb9e
SHA1: dc676cb778de2255b0c3890c3ac4d4dd4a9de2c5
SHA256: 29b65ce7b3abe3a64237706b3eaaafacc6f3238c432697cb5458db2f7209b60c
SHA512: ea91db3506f2f6d77faa95ef83c7c22a7297d46c486c0483581b76f37357d0953386808542886e22404269da0f4fa98817d16fda5025c424c4c19e499bdf57e8
Homepage: https://cran.r-project.org/package=fixr
Description: CRAN Package 'fixr' (Fixing Data Made Easy for Statistical Analysis)
 A set of functions that facilitate basic data manipulation and cleaning for
 statistical analysis including functions for finding and fixing duplicate
 rows and columns, missing values, outliers, and special characters in column
 and row names and functions for checking data consistency, distribution,
 quality, reliability, and structure.

Package: r-cran-fixseqmtp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-multxpert, r-cran-multcomp, r-cran-mhtdiscrete
Filename: pool/dists/focal/main/r-cran-fixseqmtp_0.1.2-1.ca2004.1_all.deb
Size: 81340
MD5sum: fbe5ac16ea4baed5ac0dd960c7c6bbd4
SHA1: ef71e64937f0d6ffe1a2f6569dc99449cc445471
SHA256: 2e51e14458f833245b190bdf8e052be0d5deabc440044fabcc2cac383d701a0e
SHA512: 2f69405b55f7ecee65303ef8ebef8d58a4debf1b665200aaaac73ea45b393197101251425479913de0a2248b84a5cca1bb6e59cb293f370071ac3bc2c8b2a336
Homepage: https://cran.r-project.org/package=FixSeqMTP
Description: CRAN Package 'FixSeqMTP' (Fixed Sequence Multiple Testing Procedures)
 Several generalized / directional Fixed Sequence Multiple Testing Procedures
 (FSMTPs) are developed for testing a sequence of pre-ordered hypotheses
 while controlling the FWER, FDR and Directional Error (mdFWER).  All three
 FWER controlling generalized FSMTPs are designed under arbitrary dependence,
 which allow any number of acceptances. Two FDR controlling generalized
 FSMTPs are respectively designed under arbitrary dependence and
 independence, which allow more but a given number of acceptances. Two mdFWER
 controlling directional FSMTPs are respectively designed under arbitrary
 dependence and independence, which can also make directional decisions based
 on the signs of the test statistics. The main functions for each proposed
 generalized / directional FSMTPs are designed to calculate adjusted p-values
 and critical values, respectively. For users' convenience, the functions
 also provide the output option for printing decision rules.

Package: r-cran-fixtures
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-checkmate, r-cran-rlang, r-cran-purrr, r-cran-r6, r-cran-glue, r-cran-yaml, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-lintr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fixtures_0.1.3-1.ca2004.1_all.deb
Size: 237332
MD5sum: 4103c938ba7fe66d54fe0d3f65613b2e
SHA1: 66306571ce1a610e27692b4e72dc35cb57ac663a
SHA256: 7406b7a8dea74a580d3a13930f4b2e9725fbe70477a5a036b4efd4a664ed8caf
SHA512: ea27da4930d7e1d2acabf50a154c1bd61a86e842e0c0a391fbed1c4ee4162e371c3dd8e32d34c2aae576f6e01e87f786cefce1a2687465baf8fc9aa80c4b66c0
Homepage: https://cran.r-project.org/package=fixtuRes
Description: CRAN Package 'fixtuRes' (Mock Data Generator)
 Generate mock data in R using YAML configuration.

Package: r-cran-fizzbuzzr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fizzbuzzr_0.1.1-1.ca2004.1_all.deb
Size: 10332
MD5sum: c8794a77a6916a765ded32a70a1210b3
SHA1: 783f92c9db4e905f438c2ca4a9319369431b9c27
SHA256: 2ed3061d41276e9d5aa9051f9ef85ae3a945e8bb56020c07a78438f040b7107d
SHA512: c7ac6df8f116f5aed1b8c7454d1b16455d519b2310c8dd0bf3b3890f8605dc89e914255f62725bb94742a582db11b36f546ee7283b0ea2241166d2a32eec8ad4
Homepage: https://cran.r-project.org/package=fizzbuzzR
Description: CRAN Package 'fizzbuzzR' (Fizz Buzz Implementation)
 An implementation of the Fizz Buzz algorithm, as defined e.g. in
 <https://en.wikipedia.org/wiki/Fizz_buzz>.  It provides the standard
 algorithm with 3 replaced by Fizz and 5 replaced by Buzz, with the option of
 specifying start and end numbers, step size and the numbers being replaced
 by fizz and buzz, respectively. This package gives interviewers the optional
 answer of "I use fizzbuzzR::fizzbuzz()" when interviewing rather than having
 to write an algorithm themselves.

Package: r-cran-fjordlight
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 777
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncdf4, r-cran-raster, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fjordlight_1.0.1-1.ca2004.1_all.deb
Size: 408872
MD5sum: 30b1e7b4b9fc100500f19fe7e77631d7
SHA1: e57997d267ff25501caa7483d12da855ca46f8ca
SHA256: c1415e99e16efddadf3c7e6db2696269b8bd74fa1d26cf4217fd5ba5cacb6c02
SHA512: 6e71b5add6aeafd0de5884538da00728c990ec64da6833af646be7947f94ec4305c5accf0f5cec64227536ae90c8319a244354c596a739e1f44c1111304bf2b3
Homepage: https://cran.r-project.org/package=FjordLight
Description: CRAN Package 'FjordLight' (Available Light Within the Water Column and on the Seafloor ofArctic Fjords)
 Satellite data collected between 2003 and 2022, in conjunction with gridded
 bathymetric data (50-150 m resolution), are used to estimate the irradiance
 reaching the bottom of a series of representative EU Arctic fjords.  An
 Earth System Science Data (ESSD) manuscript, Schlegel et al. (2024),
 provides a detailed explanation of the methodology.

Package: r-cran-fkbma
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstan, r-cran-matrixstats, r-cran-dplyr, r-cran-coda, r-cran-mass, r-cran-ggplot2, r-cran-cowplot, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fkbma_0.2.0-1.ca2004.1_all.deb
Size: 176008
MD5sum: c5e67d43eb7f40cf84116cbd3908ee28
SHA1: 26ae4004670ab72563036cc6dffeab578fbedc52
SHA256: 38084aa49bd845865b84f6eb901ae0617bb1e307543374d779c551e1d0c917b7
SHA512: 9180e957eaebfdca2ecbc15e1ff959c0a21eb109ee03b252f8b1158a373363a231fa3991511655a4884441f88259f13c5d833dd290438ae91b2f43dad3a2e1d4
Homepage: https://cran.r-project.org/package=fkbma
Description: CRAN Package 'fkbma' (Free Knot-Bayesian Model Averaging)
 Analysis of Bayesian adaptive enrichment clinical trial using Free-Knot
 Bayesian Model Averaging (FK-BMA) method of Maleyeff et al. (2024) for
 Gaussian data. Maleyeff, L., Golchi, S., Moodie, E. E. M., & Hudson, M.
 (2024) "An adaptive enrichment design using Bayesian model averaging for
 selection and threshold-identification of predictive variables"
 <doi:10.1093/biomtc/ujae141>.

Package: r-cran-flacco
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-checkmate, r-cran-mlr
Suggests: r-cran-devtools, r-cran-e1071, r-cran-ggplot2, r-cran-lhs, r-cran-mass, r-cran-matrix, r-cran-mda, r-cran-mlbench, r-cran-numderiv, r-cran-parallelmap, r-cran-paramhelpers, r-cran-plotly, r-cran-plyr, r-cran-rann, r-cran-r.rsp, r-cran-rpart, r-cran-shape, r-cran-shiny, r-cran-smoof, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flacco_1.8-1.ca2004.1_all.deb
Size: 1208984
MD5sum: bed276f527e293d522419b693d3602d7
SHA1: 25834456fe71a4180ac32c76d5f98bc5cb4b6167
SHA256: 18f2fe6805655af1bd57ea1a3cdeb2340f6b009ae95008e9b63b273b5441068b
SHA512: 95a65d5ce4ece9046f050b21103b7eabfbfe8871233eabf1bf25f008b197264be2195c903adc941ed7d6b5e4afcbcc96452efb6a847ff9dd40e8e63192b18fe5
Homepage: https://cran.r-project.org/package=flacco
Description: CRAN Package 'flacco' (Feature-Based Landscape Analysis of Continuous and ConstrainedOptimization Problems)
 Tools and features for "Exploratory Landscape Analysis (ELA)" of
 single-objective continuous optimization problems.  Those features are able
 to quantify rather complex properties, such as the global structure,
 separability, etc., of the optimization problems.

Package: r-cran-flag
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-flag_0.1-1.ca2004.1_all.deb
Size: 70884
MD5sum: 9e0c9584e1c76263c11681bf44283f6f
SHA1: 183826f9a14035ec7dfb08f41874e9b1acfd66a7
SHA256: 87c248cc67c8ad336d565c8525303a2ab9598d3edc5a83d0eb1356ba2a2adb2d
SHA512: 4d9c2d730be937a20e6762b693cc79d795816c725db656d6ef045a76f82f02c8139c930fcb5ad4232e4636dc36db3d9abb304ea9268dd2c721fd97ee7a905727
Homepage: https://cran.r-project.org/package=FLAG
Description: CRAN Package 'FLAG' (Flexible and Accurate Gaussian Graphical Models)
 In order to achieve accurate estimation without sparsity assumption on the
 precision matrix, element-wise inference on the precision matrix, and joint
 estimation of multiple Gaussian graphical models, a novel method is proposed
 and efficient algorithm is implemented.  FLAG() is the main function given a
 data matrix, and FlagOneEdge() will be used when one pair of random
 variables are interested where their indices should be given.  Flexible and
 Accurate Methods for Estimation and Inference of Gaussian Graphical Models
 with Applications, see Qian Y (2023)
 <doi:10.14711/thesis-991013223054603412>, Qian Y, Hu X, Yang C (2023)
 <doi:10.48550/arXiv.2306.17584>.

Package: r-cran-flagr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tidyr, r-cran-eurostat, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flagr_0.3.2-1.ca2004.1_all.deb
Size: 343772
MD5sum: 1e43814324f202542e11db703045976a
SHA1: d54feae76b338c53594a4a7b645b7f119c0245b8
SHA256: c2c83a2b01d1f4772ea3b85ef734cb4bd0d0e34802d0f1f390c866cbd470c4f5
SHA512: 2ddcad552a79d947f48a1c832675f9684254afbda882509cfde57959a268e27b49f691a189922d18e5482c18614bc1622df6e1b5b14dacb36816632247ae13cf
Homepage: https://cran.r-project.org/package=flagr
Description: CRAN Package 'flagr' (Implementation of Flag Aggregation)
 Three methods are implemented in R to facilitate the aggregations of flags
 in official statistics.  From the underlying flags the highest in the
 hierarchy, the most frequent, or with the highest total weight is propagated
 to the flag(s) for EU or other aggregates. Below there are some reference
 documents for the topic:
 <https://sdmx.org/wp-content/uploads/CL_OBS_STATUS_v2_1.docx>,
 <https://sdmx.org/wp-content/uploads/CL_CONF_STATUS_1_2_2018.docx>,
 <http://ec.europa.eu/eurostat/data/database/information>,
 <http://www.oecd.org/sdd/33869551.pdf>,
 <https://sdmx.org/wp-content/uploads/CL_OBS_STATUS_implementation_20-10-2014.pdf>.

Package: r-cran-flair
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-evaluate, r-cran-ggplot2, r-cran-glue, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rmarkdown, r-cran-stringr
Suggests: r-cran-learnr, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flair_0.0.2-1.ca2004.1_all.deb
Size: 156496
MD5sum: 10f14fbb5c0fcbcd44f3b0d37e67786d
SHA1: d08cb3e23eca845b9a4875f875791ff1815371bf
SHA256: b732426a43e7a184041f72ad7f28867bfc4ad8893c294aa4405b50e8312823db
SHA512: 116428c201721308e58f28e7e374c17e9dc2c0f81139cddd58c6afd7c859cb371787eea4a17d1b07fae38d1fd896e48803db4ba4d44ef2bed789d5a0a9dfe1aa
Homepage: https://cran.r-project.org/package=flair
Description: CRAN Package 'flair' (Highlight, Annotate, and Format your R Source Code)
 Facilitates easier formatting and highlighting of R source code in a R
 Markdown-based presentation. The main goal of the package is to allow users
 to preserve their code creation process within code chunks, then to specify
 formatting details for the source code, such as highlighting of particular
 syntactical elements.

Package: r-cran-flame
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-gmp
Suggests: r-cran-nnet, r-cran-knitr, r-cran-mice, r-cran-rmarkdown, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-flame_2.1.1-1.ca2004.1_all.deb
Size: 288704
MD5sum: 96993ea71c50f61228819bf7c93b6aac
SHA1: efa57fec821c2fb0b27025b696e47888e8823cef
SHA256: aa0c4d1264d92c0684051c4a90d0eeea4de31a8f1c6b870e9cce6eb441174328
SHA512: 212aecb5b5746f9b8377abfce774fc84a6f7abdc8fc07dee7f45e0ace5fcdfb685e2091c0a545514823f1784eca5860e12edc61ecfe9d0c15e4390bcfee6c5f2
Homepage: https://cran.r-project.org/package=FLAME
Description: CRAN Package 'FLAME' (Interpretable Matching for Causal Inference)
 Efficient implementations of the algorithms in the Almost-Matching-Exactly
 framework for interpretable matching in causal inference. These algorithms
 match units via a learned, weighted Hamming distance that determines which
 covariates are more important to match on.  For more information and
 examples, see the Almost-Matching-Exactly website.

Package: r-cran-flametree
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1001
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggforce, r-cran-magrittr
Suggests: r-cran-deldir, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flametree_0.1.3-1.ca2004.1_all.deb
Size: 983964
MD5sum: ab227d16813b9221461fa0a01152c2f8
SHA1: f33f171517e92c4efd1ebca72abb544adc2b6420
SHA256: 1008b1875062e545e4c5021c471a4dad18795a8ed4cdf2738aed3adc659feb0d
SHA512: cf63534eb222d484c7a143c02703250419e3793a1df2676ff70982de1d5f3977fba93c7f311706a7e0c57c0f8d5aa5c425f28e9abe21af190b578d35cda08061
Homepage: https://cran.r-project.org/package=flametree
Description: CRAN Package 'flametree' (Generate Random Tree-Like Images)
 A generative art system for producing tree-like images using an L-system to
 create the structures. The package includes tools for generating the data
 structures and visualise them in a variety of styles.

Package: r-cran-flap
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corpcor
Suggests: r-cran-forecast
Filename: pool/dists/focal/main/r-cran-flap_0.2.0-1.ca2004.1_all.deb
Size: 19292
MD5sum: d199f39ce9373080f658b579f7e1805d
SHA1: d9b9c60fec328efa21604ea555be3e4687e37649
SHA256: 91e05012d17a69ac0487ee41f6c707e1fc997963868c233756d6bac9b3caf374
SHA512: a4efd54bc8e3f789431f9332aa1381f7ddf9583afd57424410943a9f473392109ad017c10a9216b7788e4152eef07407bdcecb639b7ca493f536492c303320d8
Homepage: https://cran.r-project.org/package=flap
Description: CRAN Package 'flap' (Forecast Linear Augmented Projection)
 The Forecast Linear Augmented Projection (flap) method reduces forecast
 variance by adjusting the forecasts of multivariate time series to be
 consistent with the forecasts of linear combinations (components) of the
 series by projecting all forecasts onto the space where the linear
 constraints are satisfied. The forecast variance can be reduced
 monotonically by including more components. For a given number of
 components, the flap method achieves maximum forecast variance reduction
 among linear projections.

Package: r-cran-flashcard
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flashcard_0.1.0-1.ca2004.1_all.deb
Size: 26880
MD5sum: e35f99388dc786ccefb22d236bb32515
SHA1: c1ebeca4c9ba01cb86b4a65705a199887c78983c
SHA256: d3ccf9aa1fc87b9c11683fc6f273e95f110351a150eb7d5f178588f7287918ee
SHA512: 3e555063ce2514e67ba6c897f8e141e4be9d2fe21f5d7d243ec40aa4a1d2d5dd9d1dfffdf3821b86e77d095488af3fa53753580442c26042fdf570e39d6d3b0a
Homepage: https://cran.r-project.org/package=flashCard
Description: CRAN Package 'flashCard' (Create a Flash Card)
 Create a flip over style Flash Card with desired data frame for Shiny
 application.

Package: r-cran-flashier
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1510
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ebnm, r-cran-magrittr, r-cran-matrix, r-cran-dplyr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-softimpute, r-cran-irlba, r-cran-ggplot2
Suggests: r-cran-ashr, r-cran-cowplot, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rcppml, r-cran-rsvd
Filename: pool/dists/focal/main/r-cran-flashier_1.0.7-1.ca2004.1_all.deb
Size: 1156652
MD5sum: 5283414d642c4002ef88bddb6099fca8
SHA1: dd070a095d40dd042b09c8bd3f08cacd5fc54238
SHA256: 4f2594f866ee05e7dc40aae2488d93f95b869acaf2291896656dbd0b07145f6c
SHA512: ef8f356424fa29fab6cd6c9949568aa1a15a734ef129baf716702376f88bfb0424ccb2c52f6469d580511b5fe7f109844ebfba8cdb2ead1a4dad7dafa4904315
Homepage: https://cran.r-project.org/package=flashier
Description: CRAN Package 'flashier' (Empirical Bayes Matrix Factorization)
 Methods for matrix factorization based on Wang and Stephens (2021)
 <https://jmlr.org/papers/v22/20-589.html>.

Package: r-cran-flashlight
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1844
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-metricsweighted, r-cran-rlang, r-cran-rpart, r-cran-rpart.plot, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flashlight_0.9.0-1.ca2004.1_all.deb
Size: 521316
MD5sum: b9fbb3ea6d4e1f49152c57ff4d9f59ce
SHA1: b857880f5823d27d4130b135e71af4b623bfbac6
SHA256: 810a6653a054a9274ea65a6fcf563b607ea2e41dc575d9a2ceadcb666688e21e
SHA512: cfac9bc148bd17e4e1f3a3df2a3fb8a9f232a9743ba6de64232985cbcc483d7ca3f22da9d42cf977dde0a1c567b8095d9d66606e0b96a4fb5f9637a119ba7cdb
Homepage: https://cran.r-project.org/package=flashlight
Description: CRAN Package 'flashlight' (Shed Light on Black Box Machine Learning Models)
 Shed light on black box machine learning models by the help of model
 performance, variable importance, global surrogate models, ICE profiles,
 partial dependence (Friedman J. H. (2001) <doi:10.1214/aos/1013203451>),
 accumulated local effects (Apley D. W.  (2016) <arXiv:1612.08468>), further
 effects plots, interaction strength, and variable contribution breakdown
 (Gosiewska and Biecek (2019) <arxiv:1903.11420>).  All tools are implemented
 to work with case weights and allow for stratified analysis.  Furthermore,
 multiple flashlights can be combined and analyzed together.

Package: r-cran-flashmm
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-flashmm_1.2.1-1.ca2004.1_all.deb
Size: 75208
MD5sum: 3e456bfc7550869abe0823c5d03310a8
SHA1: 70a2f922a000521c59d763f90715f6b2355a7784
SHA256: f3a5a9dc7b6bef36f575ee9296bc169a939bb6a1610913c3c815ae1d5589d9ed
SHA512: 55f74b9d763ce29dc40f08930f4317ed5923cc8821d74f5b6487ef74c156d054189c200560088aa15da6184973678e955e9b969f033a0e7be0d1b8ddb21fb61e
Homepage: https://cran.r-project.org/package=FLASHMM
Description: CRAN Package 'FLASHMM' (Fast and Scalable Single Cell Differential Expression Analysisusing Mixed-Effects Models)
 A fast and scalable linear mixed-effects model (LMM) estimation algorithm
 for analysis of single-cell differential expression. The algorithm uses
 summary-level statistics and requires less computer memory to fit the LMM.

Package: r-cran-flashr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-gh, r-cran-httr, r-cran-memoise, r-cran-revealjs, r-cran-rmarkdown, r-cran-testthat
Suggests: r-cran-covr, r-cran-knitr, r-cran-litedown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-flashr_0.3.0-1.ca2004.1_all.deb
Size: 266196
MD5sum: f43ddba30acdab316effb22e41a58bac
SHA1: 21bedfaa6c1b5b2f6045b3f45efd4369bc760ade
SHA256: e74ce91fbe940f73405903e618698d439d7996e8231b493e650487f0168ffe2d
SHA512: 8532cd995b2f69b02b99a2ee69dc4f42286597e9d943c7691ad6c9d2e0b35ecce975c4fca849adcbcc75ae556613ff1fb10a125e19975bda06e03723caa890f7
Homepage: https://cran.r-project.org/package=flashr
Description: CRAN Package 'flashr' (Create Flashcards of Terms and Definitions)
 Provides functions for creating flashcard decks of terms and definitions.
 This package creates HTML slides using 'revealjs' that can be viewed in the
 'RStudio' viewer or a web browser.  Users can create flashcards from either
 existing built-in decks or create their own from CSV files or vectors of
 function names.

Package: r-cran-flatness
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1488
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-lattice, r-cran-xtable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flatness_0.1.4-1.ca2004.1_all.deb
Size: 1344300
MD5sum: 67671f2ed2f1e731c94c85aa851379cc
SHA1: f526a39759e737d5a90340b04f9c845db74f59cf
SHA256: 446a6b16d99295d4e3d14a2949f22fa0ca99bceb698ff89809b6235f21db72f6
SHA512: 28e4e2701ebbe51be1ef15a2eeabc2b7101160f58bc97821dd93b8455cf878724f3c1f72bce5322e52b971b229b42838a571f536c2ee0971d886d29ebbddcae8
Homepage: https://cran.r-project.org/package=flatness
Description: CRAN Package 'flatness' (Indices and Tests for Assessing the Flatness of (Rank)Histograms)
 S3 classes, plotting functions, indices and tests to analyse the flatness of
 histograms.  It is specifically (but not only) aimed for assessing whether
 "rank" histograms (much used in weather forecasting) are flat.  Specifically
 functions are provided to use the Jolliffe-Primo flatness tests introduced
 in Jolliffe and Primo (2008, <doi:10.1175/2007MWR2219.1>).  Flatness indices
 described in Wilks (2019, <doi:10.1175/MWR-D-18-0369.1>) can be computed.
 Finally a function to use the Benjamini-Hochberg procedure for multiple
 hypothesis testing is provided (Benjamini and Hochberg, 1995,
 <doi:10.1111/j.2517-6161.1995.tb02031.x>).

Package: r-cran-flatr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flatr_0.1.1-1.ca2004.1_all.deb
Size: 23480
MD5sum: 43c8b397fe8f5fd1c67a373541c568c5
SHA1: 2899f9d7aca40f9f5ac458e495b865e541dee130
SHA256: ab40ecc7fd2ae1d955b13e664ae7b48abebda3174f17c85e7bdffc488f6ce53d
SHA512: 1f13ac73d3e4c86a8caf4fda142a21f048444e2aa883f40b37940cbe073b8aba568d71e1daef6005a1349c5bd983bf8739ee60e4bf077323a4161ff24ea16e13
Homepage: https://cran.r-project.org/package=flatr
Description: CRAN Package 'flatr' (Transforms Contingency Tables to Data Frames, and Analyses Them)
 Contingency Tables are a pain to work with when you want to run regressions.
 This package takes them, flattens them into a long data frame, so you can
 more easily analyse them!  As well, you can calculate other related
 statistics. All of this is done so in a 'tidy' manner, so it should tie in
 nicely with 'tidyverse' series of packages.

Package: r-cran-flattabler
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3423
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-readxl, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-flattabler_2.1.2-1.ca2004.1_all.deb
Size: 722128
MD5sum: 221739a140272601cfaa60bcca8c3351
SHA1: 04c67292974f28a5a8041bf8dea84bc51a495280
SHA256: 93525f28a2c66a61f835380f41e5736640e498fd069ace05d0b59457bbe63060
SHA512: 7d62e7ae5e581e1e421472c68431ef640112349e1d83d414c6fd3a6cd80624985e50b67140b356e7fee78d2894ca5e787e84796aa95ebfbeb0e2847d95c309d9
Homepage: https://cran.r-project.org/package=flattabler
Description: CRAN Package 'flattabler' (Obtaining a Flat Table from Pivot Tables)
 Transformations that allow obtaining a flat table from reports in text or
 Excel format that contain data in the form of pivot tables. They can be
 defined for a single report and applied to a set of reports.

Package: r-cran-flatxml
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-xml2, r-cran-httr, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-flatxml_0.1.1-1.ca2004.1_all.deb
Size: 111880
MD5sum: b14310a4ea50500da0e5d9107298aa66
SHA1: bac98c4664a6c1a61c10ad22443cc45d151a9509
SHA256: a2b8ff1ef65b3faa2ee08256e0aef6a579465fc39db975bea0c23f76cfc27942
SHA512: abdca8e82d18e3a3ac981a06ce168b1afea0ef678b677d7cc23832c2f75bff70c873a3aaac12c44df9f090a7aa4a455a95f3b794ba7715efa2f0a21adff43dbc
Homepage: https://cran.r-project.org/package=flatxml
Description: CRAN Package 'flatxml' (Tools for Working with XML Files as R Dataframes)
 On import, the XML information is converted to a dataframe that reflects the
 hierarchical XML structure. Intuitive functions allow to navigate within
 this transparent XML data structure (without any knowledge of 'XPath').
 'flatXML' also provides tools to extract data from the XML into a flat
 dataframe that can be used to perform statistical operations. It also
 supports converting dataframes to XML.

Package: r-cran-fledge
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brio, r-cran-cli, r-cran-desc, r-cran-gert, r-cran-purrr, r-cran-rematch2, r-cran-rlang, r-cran-tibble, r-cran-usethis, r-cran-whoami, r-cran-withr
Suggests: r-cran-mockery, r-cran-covr, r-cran-fansi, r-cran-fs, r-cran-knitr, r-cran-parsedate, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-callr, r-cran-pkgload
Filename: pool/dists/focal/main/r-cran-fledge_0.1.2-1.ca2004.1_all.deb
Size: 97440
MD5sum: 27e033362e4b70f63b011cdcd2a0f815
SHA1: 91c968acdf935291d28c976c949aebd9c73f7dc3
SHA256: 93d0bb6231a9d852245b7dbf9bcb951bd9a0cbbea8d252728d07937bc8671fb1
SHA512: 91c17af837662a73efaa1c033629274fb0844ce788302e39d49c2b81804c6d2f4a6ce99837a4e1c7eef73843875a6f7a9c8b91ca35addd0b87f4e31bd6140403
Homepage: https://cran.r-project.org/package=fledge
Description: CRAN Package 'fledge' (Smoother Change Tracking and Versioning for R Packages)
 Streamlines the process of updating changelogs (NEWS.md) and versioning R
 packages developed in git repositories.

Package: r-cran-flevr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-superlearner, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-caret, r-cran-mvtnorm, r-cran-kernlab, r-cran-rlang, r-cran-ranger
Suggests: r-cran-vimp, r-cran-stabs, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mice, r-cran-xgboost, r-cran-glmnet, r-cran-polspline
Filename: pool/dists/focal/main/r-cran-flevr_0.0.4-1.ca2004.1_all.deb
Size: 142476
MD5sum: 73bef9cf7c439405dd5c7d3bcd493478
SHA1: 013e7ce8f2216138122feba5bcff66c9112dc9b9
SHA256: b4cac5fa2508cde608815987b6dd321f17fc2cea914443a091900478169f6376
SHA512: 8acf8effa5cca7245b0fbc7d36739b66a912df7870506fbc16ee8da64880f59df5488fea4b2e2302369495c4f9a506f259433eb84d889a1ad9952b485f28bc8c
Homepage: https://cran.r-project.org/package=flevr
Description: CRAN Package 'flevr' (Flexible, Ensemble-Based Variable Selection with PotentiallyMissing Data)
 Perform variable selection in settings with possibly missing data based on
 extrinsic (algorithm-specific) and intrinsic (population-level) variable
 importance. Uses a Super Learner ensemble to estimate the underlying
 prediction functions that give rise to estimates of variable importance. For
 more information about the methods, please see Williamson and Huang (2023+)
 <arXiv:2202.12989>.

Package: r-cran-flexcwm
Architecture: all
Version: 1.92-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-mclust, r-cran-statmod, r-cran-contaminatedmixt
Filename: pool/dists/focal/main/r-cran-flexcwm_1.92-1.ca2004.1_all.deb
Size: 137472
MD5sum: 57762d8e08eda628b7afdb6f2f936547
SHA1: 80cbfe42d76242883d1f0723a383602a43ff4b48
SHA256: f5f58b4d711c76d82ea5288076f2c2225d48e77637b46027928f435210123e1a
SHA512: 7768c2b15562eb4a3c4bb4ea746366c36ffd5d3402052c8118675a4e600b6d8bd7ebd3524f2d90a07b4f142a6592934f2fb8e3670fc99369c13dfda68552b40d
Homepage: https://cran.r-project.org/package=flexCWM
Description: CRAN Package 'flexCWM' (Flexible Cluster-Weighted Modeling)
 Allows maximum likelihood fitting of cluster-weighted models, a class of
 mixtures of regression models with random covariates.  Methods are described
 in Angelo Mazza, Antonio Punzo, Salvatore Ingrassia (2018)
 <doi:10.18637/jss.v086.i02>.

Package: r-cran-flexdashboard
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bslib, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-sass, r-cran-scales, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flexdashboard_0.6.2-1.ca2004.1_all.deb
Size: 344896
MD5sum: aba782925204c791867a0ebefd6340dd
SHA1: ba4f8ec0bb4171f774c8ada1fdc13b754bb0f076
SHA256: d1140ef872e2f4628276ea678b4ddaba9362b960c298671e3a3e76c29284adf3
SHA512: 339e700226ed08fb756ae56fcac77e15164ed678f44262a870e6f78e6b4afe14bab7e1e491ab722148dd94235631e303aab86a5c8bce9e6e85087d8a6772a348
Homepage: https://cran.r-project.org/package=flexdashboard
Description: CRAN Package 'flexdashboard' (R Markdown Format for Flexible Dashboards)
 Format for converting an R Markdown document to a grid oriented dashboard.
 The dashboard flexibly adapts the size of it's components to the containing
 web page.

Package: r-cran-flexdir
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flexdir_1.0-1.ca2004.1_all.deb
Size: 172576
MD5sum: 62c58092a660ac73e23f08ad640a6249
SHA1: 8a954953a1634b2244862c5a18fa9667330e3a76
SHA256: 771658589a3bacbaa9324edb7a9f01d7656da90e197ca8ba616686e6d245fc3f
SHA512: c8e0d72205572b61e5a62d2ad4f1313af6d5b6ca270d51d830f3e64146bec9f79d70c9fb266fcd8d665e78248dca880265d1c6b846fe8e5a057f0a1a58dac355
Homepage: https://cran.r-project.org/package=FlexDir
Description: CRAN Package 'FlexDir' (Tools to Work with the Flexible Dirichlet Distribution)
 Provides tools to work with the Flexible Dirichlet distribution. The main
 features are an E-M algorithm for computing the maximum likelihood estimate
 of the parameter vector and a function based on conditional bootstrap to
 estimate its asymptotic variance-covariance matrix. It contains also
 functions to plot graphs, to generate random observations and to handle
 compositional data.

Package: r-cran-flexdotplot
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1601
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-factominer, r-cran-scales, r-cran-reshape2, r-cran-ggdendro, r-cran-grimport2, r-cran-gridextra, r-cran-sisal, r-cran-dendextend, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-ggforce, r-cran-colourpicker, r-cran-htmltools, r-cran-bsplus, r-cran-dt, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-flexdotplot_0.2.2-1.ca2004.1_all.deb
Size: 877392
MD5sum: 4fa58e622fdd8ca370557d9e3eec7fdf
SHA1: dd2e0f50f052fa39d832d4066c8729cd8cce8ddf
SHA256: 9cfca2e1c0e16a5f6dd8b00c24ecac04535c68acaaf97bf9b7ce87a5d8c2e136
SHA512: 5c0a5be9ebc7741b9979c5a790c74bf9c302dbfc43eb95d52862d510dc63b5ef5a2078029b4f033b6457059763077fba90f902ac51fcc090117c3260877a5bc2
Homepage: https://cran.r-project.org/package=FlexDotPlot
Description: CRAN Package 'FlexDotPlot' (Flexible Dot Plot)
 Flexible Dotplot and Pacman plot for multimodal data.

Package: r-cran-flexfitr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-agriutilities, r-cran-dofuture, r-cran-dplyr, r-cran-foreach, r-cran-future, r-cran-ggplot2, r-cran-numderiv, r-cran-optimx, r-cran-progressr, r-cran-rlang, r-cran-subplex, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-bb, r-cran-dfoptim, r-cran-ggpubr, r-cran-kableextra, r-cran-knitr, r-cran-lbfgsb3c, r-cran-marqlevalg, r-cran-purrr, r-cran-rmarkdown, r-cran-ucminf
Filename: pool/dists/focal/main/r-cran-flexfitr_1.2.0-1.ca2004.1_all.deb
Size: 839976
MD5sum: 66c4d8444e13ae1abbf2fd9acce2e4d3
SHA1: 22c294dbbc00160e2904a22c994d0447fc0bdf34
SHA256: 09a7062d260361bc7c31817bdee84bf4e50cd55b2ac05929c62090b248187ea1
SHA512: e4830b14f059cf69de6440e4a3a585ad8f7a16c99fd7a24d353de1ccf4434c8f36a3594df15548401ad88fd9e22bd132a8ef02e96685bb89987a87d3ea4858e3
Homepage: https://cran.r-project.org/package=flexFitR
Description: CRAN Package 'flexFitR' (Flexible Non-Linear Least Square Model Fitting)
 Provides tools for flexible non-linear least squares model fitting using
 general-purpose optimization techniques. The package supports a variety of
 optimization algorithms, including those provided by the 'optimx' package,
 making it suitable for handling complex non-linear models. Features include
 parallel processing support via the 'future' and 'foreach' packages,
 comprehensive model diagnostics, and visualization capabilities. Implements
 methods described in Nash and Varadhan (2011, <doi:10.18637/jss.v043.i09>).

Package: r-cran-flexgam
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-mass, r-cran-matrix, r-cran-scam
Filename: pool/dists/focal/main/r-cran-flexgam_0.7.2-1.ca2004.1_all.deb
Size: 134292
MD5sum: eb79112c1b95c2dcca47b18ed52e03cf
SHA1: f26306a0133121483677135b2bc39ad6f0fcc7d2
SHA256: d5bb0e02ef553f2146b9958942d9ab6a40c55b2d2e1e37e6abf008e546e0bcf7
SHA512: 28c7a095f413208518ef9587540205e622cdb8f02b915002faef20d18aa02fa9809c2ff994964f65f81ca99b1d08dc6fcc41a135e8cf67aac395bff3edb2e013
Homepage: https://cran.r-project.org/package=FlexGAM
Description: CRAN Package 'FlexGAM' (Generalized Additive Models with Flexible Response Functions)
 Standard generalized additive models assume a response function, which
 induces an assumption on the shape of the distribution of the response.
 However, miss-specifying the response function results in biased estimates.
 Therefore in Spiegel et al. (2017) <doi:10.1007/s11222-017-9799-6> we
 propose to estimate the response function jointly with the covariate
 effects. This package provides the underlying functions to estimate these
 generalized additive models with flexible response functions. The estimation
 is based on an iterative algorithm. In the outer loop the response function
 is estimated, while in the inner loop the covariate effects are determined.
 For the response function a strictly monotone P-spline is used while the
 covariate effects are estimated based on a modified Fisher-Scoring
 algorithm. Overall the estimation relies on the 'mgcv'-package.

Package: r-cran-flexic
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mvtnorm, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-flexic_0.1.4-1.ca2004.1_all.deb
Size: 30092
MD5sum: cfdc652b50c59dd80aaa9694994f5fe0
SHA1: 76edbda8ca2c7ada0185b1ff576707ed6cc138e8
SHA256: a5b04733ed496ad0b12b58ba074d05ce50ac5c78885127c0f088eefdf6b952e8
SHA512: 009d24a59f147da130e7e187078c35eb6db4cf66f41ddf559f27a33746566eeb6cca8cb5ad2b863a427ce708c363be6ee5565d52ceeedc88fdfb87830bcb1bfb
Homepage: https://cran.r-project.org/package=flexIC
Description: CRAN Package 'flexIC' (Flexible Rank-Preserving Correlation Engine)
 Implements a fast, flexible method for simulating continuous variables with
 specified rank correlations using the Iman–Conover transformation (Iman &
 Conover, 1982 <doi:10.1080/03610918208812265>) and back-ranking. Includes
 plotting tools and error-diagnostics.

Package: r-cran-flexlsx
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-openxlsx2, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-gtsummary, r-cran-flextable, r-cran-testthat, r-cran-officer
Filename: pool/dists/focal/main/r-cran-flexlsx_0.3.1-1.ca2004.1_all.deb
Size: 127992
MD5sum: 5ab8f60176574b98e2edd05656225457
SHA1: 26ff14ee86f5103bbba0866c80af22d5994beea7
SHA256: 560b1d4bc25c8ed23ca8d2e7e6332356ffac8c4764528507e532ecc0df715a86
SHA512: cfb7ae26e568e0a3e6f9e0b32da669b346fc6a57ef0861b2c4c28ff8c34687710e758d7b0833e80f6837d54c03d0602bdbb5dc8e2bbb19babc3b12a9c6ae8322
Homepage: https://cran.r-project.org/package=flexlsx
Description: CRAN Package 'flexlsx' (Exporting 'flextable' to 'xlsx' Files)
 Exports 'flextable' objects to 'xlsx' files, utilizing functionalities
 provided by 'flextable' and 'openxlsx2'.

Package: r-cran-flexmet
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-monopoly, r-cran-knitr, r-cran-rmarkdown, r-cran-mirt
Filename: pool/dists/focal/main/r-cran-flexmet_1.1-1.ca2004.1_all.deb
Size: 240264
MD5sum: 9f56058490693e54bae2042e7a0c7dc7
SHA1: 6c0ef0003ff27ca0b122f57a2fffacde5206d801
SHA256: 238935644e54886e8f0012eb36023af4326749062deaeb7a250d943f91a4e689
SHA512: dabdef09abe33c1dbc758508ba5507b340a505fe200b065bea5ac45a4a1f36e80725525f1b826a60b89619ac9a1eef4df175935eb84ee7e6360988a801b8e4f0
Homepage: https://cran.r-project.org/package=flexmet
Description: CRAN Package 'flexmet' (Flexible Latent Trait Metrics using the Filtered MonotonicPolynomial Item Response Model)
 Application of the filtered monotonic polynomial (FMP) item response model
 to flexibly fit item response models. The package includes tools that allow
 the item response model to be build on any monotonic transformation of the
 latent trait metric, as described by Feuerstahler (2019)
 <doi:10.1007/s11336-018-9642-9>.

Package: r-cran-flexmix
Architecture: all
Version: 2.3-20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-modeltools, r-cran-nnet
Suggests: r-cran-actuar, r-cran-codetools, r-cran-diptest, r-cran-ecdat, r-cran-ellipse, r-cran-gclus, r-cran-glmnet, r-cran-lme4, r-cran-mass, r-cran-mgcv, r-cran-mlbench, r-cran-multcomp, r-cran-mvtnorm, r-cran-suppdists, r-cran-survival
Filename: pool/dists/focal/main/r-cran-flexmix_2.3-20-1.ca2004.1_all.deb
Size: 1693904
MD5sum: cc109a9577d2f9f1959aecdf4581dcf5
SHA1: 76cc1c66dfe24272425896ea14e3e53130ece99c
SHA256: 48fca4d74281eec21d68f5e3681c8b8d052fc2e46c0184be9dcd6f7006a5b923
SHA512: cb45ffa1e7a3e3647c765c7389c042b19e1d01368e2a92c251841525af3579405facda25940c8f246f10dc5620089e68f92ff606de7d24442b5bd2ce3007b945
Homepage: https://cran.r-project.org/package=flexmix
Description: CRAN Package 'flexmix' (Flexible Mixture Modeling)
 A general framework for finite mixtures of regression models using the EM
 algorithm is implemented. The E-step and all data handling are provided,
 while the M-step can be supplied by the user to easily define new models.
 Existing drivers implement mixtures of standard linear models, generalized
 linear models and model-based clustering.

Package: r-cran-flexmixnl
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flexmix, r-cran-gnm
Filename: pool/dists/focal/main/r-cran-flexmixnl_0.0.1-1.ca2004.1_all.deb
Size: 68764
MD5sum: 45397850b74c2ac43de4a77f5f593823
SHA1: 30760fc8b25485f9b4ca587a3a166cc0653f6402
SHA256: dcc935e3dcf64d947332b84fea0683fcc626468c854e4cb36686cfae7aa1bc91
SHA512: 6ae48cb2506ff575098ad98da89698b41e8f3d5c032b93777d4ad43925ac2e855ca10c8cc259fe5ae8d19d62db9bdeb10d6fabe378443597341837e310f658be
Homepage: https://cran.r-project.org/package=flexmixNL
Description: CRAN Package 'flexmixNL' (Finite Mixture Modeling of Generalized Nonlinear Models)
 The fitting of mixtures of generalized nonlinear models is implemented as an
 extension of the existing package 'flexmix'.

Package: r-cran-flexmsm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gjrm, r-cran-mgcv, r-cran-trust, r-cran-matrixstats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flexmsm_0.1.2-1.ca2004.1_all.deb
Size: 353640
MD5sum: 97ccf45ee46d759a2b23338bbc4c1b6a
SHA1: d46ff83c9cbdb6fee5b9ae2355373a9aeb6f4f15
SHA256: 2b2281d90ef4e8ecc5b984317980a95f10cbf50eb19dcb38c096f0c47134040f
SHA512: 625e58ac610cf0c13fed1f0f3e43ce982207abb54e140fe8c509bd1788bb621cacf9208a57010aad61572e77e4c1d1b884dfb7eff6e93cd53a6cbd7547a212a3
Homepage: https://cran.r-project.org/package=flexmsm
Description: CRAN Package 'flexmsm' (A General Framework for Flexible Multi-State Survival Modelling)
 A general estimation framework for multi-state Markov processes with
 flexible specification of the transition intensities.  The log-transition
 intensities can be specified through Generalised Additive Models which allow
 for virtually any type of covariate effect. Elementary specifications such
 as time-homogeneous processes and simple parametric forms are also
 supported. There are no limitations on the type of process one can assume,
 with both forward and backward transitions allowed and virtually any number
 of states.

Package: r-cran-flexoki
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-palette, r-cran-scales
Filename: pool/dists/focal/main/r-cran-flexoki_0.0.1-1.ca2004.1_all.deb
Size: 51004
MD5sum: 9fd68f7dc25856205b3199e44594cefe
SHA1: a18497933cddf3f8129a3979c213bfd8d856e2cb
SHA256: 8b5005534d31aa6d4ef07fed3a9c81dbe2a137b48529e961b7066d60ebc4da85
SHA512: 702267d796a52441a9628cb31bcbcec19e860785a6179dc9bf8e5973eb2f43333adb0f87fbd866e98e86f3c1fe8fc864bcebbbc3ffca09b79fee112b9261b94e
Homepage: https://cran.r-project.org/package=flexoki
Description: CRAN Package 'flexoki' (Inky Color Schemes)
 Provides color palettes designed to be reminiscent of text on paper.  The
 color schemes were taken from <https://stephango.com/flexoki>.  Includes
 discrete, continuous, and binned scales that are not necessarily color-blind
 friendly. Simple scale and theme functions are available for use with
 'ggplot2'.

Package: r-cran-flexor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4074
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gam, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-mlbench, r-cran-r.rsp, r-cran-rmarkdown, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-flexor_1.0.0-1.ca2004.1_all.deb
Size: 998808
MD5sum: 1be59b26f6c5616cb7b26fe0a6ca75f4
SHA1: b2455915326cb092e68fd2ac8afe1d17499aa920
SHA256: fb48dece913c7e7162c3c354fce761e0f47252563acd3c3246e71d32af94f6f5
SHA512: 8c3b8a89840c54c549528a2bce5b9b15a4e7deed30725f963e141388c96722b233736173dadd853411ceb9c0e90269125be5d2ab0b73d6f0299ed613f25ae30c
Homepage: https://cran.r-project.org/package=flexOR
Description: CRAN Package 'flexOR' (Flexible Odds Ratio Curves)
 Provides flexible odds ratio curves that enable modeling non-linear
 relationships between continuous predictors and binary outcomes. This
 package facilitates a deeper understanding of the impact of each continuous
 predictor on the outcome by presenting results in terms of odds ratio (OR)
 curves based on splines. These curves allow for comparison against a
 specified reference value, aiding in the interpretation of the predictor's
 effect.

Package: r-cran-flexord
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexclust, r-cran-mvtnorm, r-cran-flexmix
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-flexord_1.0.0-1.ca2004.1_all.deb
Size: 162080
MD5sum: 54a4eaf0128a399f3ca29a4e3121348c
SHA1: a762ca9bcd04338456fb2d8e487ab6be1e03eaa6
SHA256: 44e05b7183911ba1edaea7ce0c6d9e5bd37876798d071902a2defd7fe17eede3
SHA512: 57b52199c64e4be09adc95d7c31f2e449c670bb67983b605ac576651d0ae508c43e444dad8d31063e7cc5b4e14cea2917ed566ff60b54706c554a7b45eb03a98
Homepage: https://cran.r-project.org/package=flexord
Description: CRAN Package 'flexord' (Flexible Clustering of Ordinal and Mixed-with-Ordinal Data)
 Extends the capabilities for flexible partitioning and model-based
 clustering available in the packages 'flexclust' and 'flexmix' to handle
 ordinal and mixed-with-ordinal data types via new distance, centroid and
 driver functions that make various assumptions regarding ordinality. Using
 them within the flex-scheme allows for easy comparisons across methods.

Package: r-cran-flexparamcurve
Architecture: all
Version: 1.5-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-flexparamcurve_1.5-6-1.ca2004.1_all.deb
Size: 473992
MD5sum: 7843b671614efa32752f78f68bf0c318
SHA1: 3dcd90e6a150d15244d28f778ded51be9cfb81a3
SHA256: 358ae0ec0cce0057ae7d534e6e2b8d69280901e22d42a93ab55254bfb9247e52
SHA512: 8cc8f244223c3a91cbd59d6963bf05ef828de34131e4cd41f333badb24f36b74a82fbbb19c0d7546933d58d19d8daf1571ff7cfea593124c78c1480331fa45d3
Homepage: https://cran.r-project.org/package=FlexParamCurve
Description: CRAN Package 'FlexParamCurve' (Tools to Fit Flexible Parametric Curves)
 Model selection tools and 'selfStart' functions to fit parametric curves in
 'nls', 'nlsList' and 'nlme' frameworks.

Package: r-cran-flexscan
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-smerc, r-cran-sp, r-cran-spdep, r-cran-spatialreg
Filename: pool/dists/focal/main/r-cran-flexscan_0.2.2-1.ca2004.1_all.deb
Size: 661452
MD5sum: b330f0de77f0f97f97586fc30aba5aa8
SHA1: f663751e77525b8542d8ba6fc627f203eca2bdf7
SHA256: 9086280e1262141488238d972842d5c9f7665df3d2ae11af80aa6c143226f488
SHA512: c5dd44bee7e5845c5f33d5fc711905c3353f81a90d5a90760b985e3265efd4bec69deec6b1b9ce52a48d0262f6c875e5c9f554bb5fc703bcea49a943d13d6e6a
Homepage: https://cran.r-project.org/package=FlexScan
Description: CRAN Package 'FlexScan' (Flexible Scan Statistics)
 An easy way to conduct flexible scan.  Monte-Carlo method is used to test
 the spatial clusters given the cases, population, and shapefile.  A table
 with formal style and a map with clusters are included in the result report.
 The method can be referenced at: Toshiro Tango and Kunihiko Takahashi (2005)
 <doi:10.1186/1476-072X-4-11>.

Package: r-cran-flexsiteboard
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-flexdashboard, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-yaml
Suggests: r-cran-withr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-flexsiteboard_0.0.7-1.ca2004.1_all.deb
Size: 36400
MD5sum: e1a5d53cf882703d6b105007506acc22
SHA1: 4ea399dceeed3d561d51e8fd9ae7049c9cae1ef8
SHA256: bff08769218f4cb6e57ac81ea592f04ae29ab51f901383df1bc45c0a3e0d19a3
SHA512: 64cf34c6b47d1ced0a9f1a868701cf587ee6d50475f0b5165180360f4c4a3dd80f50b4303d71e1e660b4983db976263467afdee73c51aec2a83ced31b483bd7f
Homepage: https://cran.r-project.org/package=flexsiteboard
Description: CRAN Package 'flexsiteboard' (Breaks Single Page Applications from 'flexdashboard' in MultipleFiles)
 A drop-in replacement for 'flexdashboard' 'Rmd' documents, which implements
 an after-knit-hook to split the generated single page application in one
 document per main section to reduce rendering load in the web browser
 displaying the document. Put all 'JavaScript' stuff needed in all sections
 before the first headline featuring navigation menu attributes. This package
 is experimental and maybe replaced by a solution inside 'flexdashboard'.

Package: r-cran-flexsurvcure
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexsurv, r-cran-boot
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-flexsurvcure_1.3.3-1.ca2004.1_all.deb
Size: 75384
MD5sum: 4e3d5af73f2a35b216feb8b99ac9f1de
SHA1: b293dfaf3ac4fa127fb87a374cff005d6a7dcdf8
SHA256: 20d1a3d5ae020d3fcebf58e00b90dac2201bb86bfe60c8520aab66403f716f5e
SHA512: aca2915137fff8669a9455ab3b9289ff52a1fdc88c0fe9a588595f78152168ccd71653d00fd739a16e42e4df4d21766c8c59f149059692e8ddfe816b9ea789f8
Homepage: https://cran.r-project.org/package=flexsurvcure
Description: CRAN Package 'flexsurvcure' (Flexible Parametric Cure Models)
 Flexible parametric mixture and non-mixture cure models for time-to-event
 data.

Package: r-cran-flextable
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2820
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-gdtools, r-cran-htmltools, r-cran-knitr, r-cran-officer, r-cran-ragg, r-cran-rlang, r-cran-rmarkdown, r-cran-uuid, r-cran-xml2
Suggests: r-cran-bookdown, r-cran-broom, r-cran-broom.mixed, r-cran-chromote, r-cran-cluster, r-cran-commonmark, r-cran-doconv, r-cran-equatags, r-cran-ggplot2, r-cran-lme4, r-cran-magick, r-cran-mgcv, r-cran-nlme, r-cran-officedown, r-cran-pdftools, r-cran-pkgdown, r-cran-scales, r-cran-svglite, r-cran-tables, r-cran-testthat, r-cran-webshot2, r-cran-withr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-flextable_0.9.9-1.ca2004.1_all.deb
Size: 2213092
MD5sum: 7a8620eddc6c43f653abf25dd0fe2ea2
SHA1: b01e9758ac87fdfbb92f0438d23385716e42c657
SHA256: 2f3ef329514c71510e263a6131fbb9a0f92ddc0a7c090fdd7027a09ad9a66754
SHA512: c838c69cb33be009270f382f1fe43f0bcb184fda627b8b1b90751fa2bcb7de47e1ce806190609d4140587f969b536c4b3d61bd1165aaf84e17fe5c0974a08647
Homepage: https://cran.r-project.org/package=flextable
Description: CRAN Package 'flextable' (Functions for Tabular Reporting)
 Use a grammar for creating and customizing pretty tables.  The following
 formats are supported: 'HTML', 'PDF', 'RTF', 'Microsoft Word', 'Microsoft
 PowerPoint' and R 'Grid Graphics'.  'R Markdown', 'Quarto' and the package
 'officer' can be used to produce the result files. The syntax is the same
 for the user regardless of the type of output to be produced. A set of
 functions allows the creation, definition of cell arrangement, addition of
 headers or footers, formatting and definition of cell content with text and
 or images. The package also offers a set of high-level functions that allow
 tabular reporting of statistical models and the creation of complex cross
 tabulations.

Package: r-cran-flickrapi
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr2, r-cran-janitor, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-sf, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flickrapi_0.1.0.1-1.ca2004.1_all.deb
Size: 73120
MD5sum: e48ffac21d79c776bcd6899556074397
SHA1: 71191386089d422992aabc4f1c47a6d47858de1b
SHA256: 6da6f1ef48e099b3e816f4042cfdb3637c0af7bf259518277c3dbd0c3ea1c952
SHA512: 72b746dc83cafbfa284ec7b8558a93536a7dd56eb22f4ece83a191d8ef61be98f3e945e11666b3fd3c421791f0c5a6ebfe2b03a3464b1c7a8f21d6bdbf5e0553
Homepage: https://cran.r-project.org/package=FlickrAPI
Description: CRAN Package 'FlickrAPI' (Access to Flickr API)
 Provides an interface to the Flickr API
 <https://www.flickr.com/services/api/> and allows R users to download data
 on Flickr.

Package: r-cran-flifo
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bazar, r-cran-pryr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flifo_0.1.5-1.ca2004.1_all.deb
Size: 36960
MD5sum: 0325341d49c5c960c044c41b841147bc
SHA1: 8d940f91e9f71f3f3f200c27e299513f6b3ff119
SHA256: 1b4eb70a8b2f51c64fd57b5e553cc03b4aa6d9b98ff7f4b81c940d0da1f6dcc7
SHA512: f8b6e7f635ad2e424a8e98b7394319ba46e2d78a5714a9240b0771aa1be32c650c5b9fb01ede4e9eaee826a1e4a148aef911ff659b0b546c6d9e67083388fa14
Homepage: https://cran.r-project.org/package=flifo
Description: CRAN Package 'flifo' (Don't Get Stuck with Stacks in R)
 Functions to create and manipulate FIFO (First In First Out), LIFO (Last In
 First Out), and NINO (Not In or Never Out) stacks in R.

Package: r-cran-flightplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 836
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-rlang, r-cran-sf, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-flightplot_0.1.0-1.ca2004.1_all.deb
Size: 788964
MD5sum: 8e1b20c6575635bdf75be8624f04641c
SHA1: 48d4322a4569f5a25fdcae333b3c4f4576b9dc7c
SHA256: d88aeacc772d121a608a53ae117b7cc9827c56ba6ecf5c4016927c1f6485350c
SHA512: 868d9ae9e980eb1c955d5152a11a3a9a973a19184b0438ca967cfbcc2294d419850a03301f11b05c4dff1973f5c9a9edfa978fda4d343828a0fc2a73f4d31cc4
Homepage: https://cran.r-project.org/package=flightplot
Description: CRAN Package 'flightplot' (Plotting Flight Paths on Maps)
 Provides functionality to plot airplane flight paths on maps. The plotted
 flight paths follow the great circle of the Earth.

Package: r-cran-flightr
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bit, r-cran-geosphere, r-cran-ggmap, r-cran-ggplot2, r-cran-circstats, r-cran-circular, r-cran-fields, r-cran-maps, r-cran-mgcv, r-cran-nlme, r-cran-rcpparmadillo, r-cran-sf, r-cran-suntools, r-cran-truncnorm
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flightr_0.5.5-1.ca2004.1_all.deb
Size: 2018564
MD5sum: 766079bf9ad1d2cb96cc25f9eb40b2a2
SHA1: e956c4df279a6d023e0129488b2e842cfe016ab4
SHA256: ff561330c54752a3d368d6c109810d0970a79276b5e8d5afb7f2fc35053bd3f4
SHA512: fe2ad375b3016c55b12476232d701805503a6bd662a126e37edc72ae1567fa5dec3d655eb6759c3e43232b9636a2b4008ed2d1a181c4bb4a9c23c4e4916afc5c
Homepage: https://cran.r-project.org/package=FLightR
Description: CRAN Package 'FLightR' (Reconstruct Animal Paths from Solar Geolocation Loggers Data)
 Spatio-temporal locations of an animal are computed from annotated data with
 a hidden Markov model via particle filter algorithm. The package is
 relatively robust to varying degrees of shading.  The hidden Markov model is
 described in Movement Ecology - Rakhimberdiev et al. (2015)
 <doi:10.1186/s40462-015-0062-5>, general package description is in the
 Methods in Ecology and Evolution - Rakhimberdiev et al. (2017)
 <doi:10.1111/2041-210X.12765> and package accuracy assessed in the Journal
 of Avian Biology - Rakhimberdiev et al. (2016) <doi:10.1111/jav.00891>.

Package: r-cran-flightsbr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1908
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-archive, r-cran-curl, r-cran-data.table, r-cran-fs, r-cran-lifecycle, r-cran-parzer, r-cran-pbapply, r-cran-janitor, r-cran-rvest
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flightsbr_1.1.0-1.ca2004.1_all.deb
Size: 1584692
MD5sum: dbc01b508732aa5cbbcabd07929fc97d
SHA1: 36e1d59bf37d5614d32946f2382ca810aca08a2c
SHA256: 89b1c7ad3832bbe0c2dcc1024263cb6b7ae6c92c23764b3bc2942d3c82f0dd86
SHA512: b5383766020f75089c8703af06c3eb3d7b4b240faf7d4337e6e7955b02dc5632a036ed01b77b8d1d94373938ed9fe07ef3dd8deeaf61e120ebf1a79fc7041698
Homepage: https://cran.r-project.org/package=flightsbr
Description: CRAN Package 'flightsbr' (Download Flight and Airport Data from Brazil)
 Download flight and airport data from Brazil’s Civil Aviation Agency (ANAC)
 <https://www.gov.br/anac/pt-br>. The data covers detailed information on
 aircraft, airports, and airport operations registered with ANAC. It also
 includes data on airfares, all international flights to and from Brazil, and
 domestic flights within the country.

Package: r-cran-flimo
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-juliaconnector
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flimo_0.1.5-1.ca2004.1_all.deb
Size: 279424
MD5sum: 01955941faf0584106828eef26952555
SHA1: c8c0dd00d542c2cdf2b98e9d7f144f63a86676b5
SHA256: 43cfda00a22a99032984d4cc896309157f1479dd07ad597da1e78492caafb5bb
SHA512: 451debc258f1b614afe7bd816883734f68e147772669c0e28500f957bda2eccb6bd9441eaa98acad691b527d95df4f9ef3e5bae2d230d2856c62efecf0885e44
Homepage: https://cran.r-project.org/package=flimo
Description: CRAN Package 'flimo' (Fixed Landscape Inference Method)
 Likelihood-free inference method for stochastic models.  Uses a
 deterministic optimizer on simple simulations of the model that are
 performed with a prior drawn randomness by applying the inverse transform
 method.  Is designed to work on its own and also by using the Julia package
 'Jflimo' available on the git page of the project:
 <https://metabarcoding.org/flimo>.

Package: r-cran-flipbookr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-stringr, r-cran-tidyr, r-cran-stringi, r-cran-knitr, r-cran-glue, r-cran-purrr, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flipbookr_0.1.0-1.ca2004.1_all.deb
Size: 74412
MD5sum: 9ea43911829d985e4b09a8ce631243c0
SHA1: 9cd046ce5f878f27b825a6db8dbfb63a0fc48e03
SHA256: 2fda8e5df70fb88d2e72dd09259a46cf21f884506db82c5fe92eabb9f0021d11
SHA512: ede7d292f8e500975f0d8dc74403799596a0ddb00740efc842a694dccab7430bd660e71b04ddb4bc07bdd063323430338b71994be595527740ce97d4c0994107
Homepage: https://cran.r-project.org/package=flipbookr
Description: CRAN Package 'flipbookr' (Parses Code, Creates Partial Code Builds, Delivers Code Movie)
 Flipbooks present code step-by-step and side-by-side with its output.
 'flipbookr' helps creators build flipbooks efficiently because code
 pipelines are automatically parsed and prepped for presentation as
 flipbooks.

Package: r-cran-flipdownr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue, r-cran-jsonlite, r-cran-checkmate
Filename: pool/dists/focal/main/r-cran-flipdownr_0.1.1-1.ca2004.1_all.deb
Size: 715536
MD5sum: 62cae7e0502c2bf49ad71c71973e73fb
SHA1: 6090c735e702f3846d4eaaa83a91c56298fa78fb
SHA256: ea4bf93361ab168b9e76d7a9c3f52a8d29153f55d705755235c6021e08b4a287
SHA512: eeb3a444e6510f3c88d6c3c490fb7cfef542a263a23232e3c07b39f45f32f4b92f39349a870927c517b09d7237cfd376083eebb637095512175e5d0990971d30
Homepage: https://cran.r-project.org/package=flipdownr
Description: CRAN Package 'flipdownr' (Implement a Countdown in 'RMarkdown' Documents and 'shiny'Applications)
 Allows the user to create a countdown in 'RMarkdown' documents and 'shiny'
 applications.  The package is a wrapper of the 'JavaScript' library
 'flipdown.js'. See <https://pbutcher.uk/flipdown/> for more info.

Package: r-cran-flipdownwidgets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-flipdownwidgets_0.1.0-1.ca2004.1_all.deb
Size: 17916
MD5sum: 38d01b7073e0e847721115278d778d26
SHA1: 6b5797c4e878ccbf15a5d24ed0175812e1b85331
SHA256: a56824d4854f770c3f94859ec9e2f183388f69aa8d3bde3ea2e586cd584fac1f
SHA512: a23ae7d7a56e0a2ef25cffa664d55aa1f4fa2198d267317a08263ba240a9f7f7a211cf9e400f0eede1cbcd1cf97d84cdab095e27ea9bd2a9c36a6ef7b3f42351
Homepage: https://cran.r-project.org/package=flipdownWidgets
Description: CRAN Package 'flipdownWidgets' (A Wrapper of JavaScript Library 'flipdown.js')
 Include a countdown <https://github.com/PButcher/flipdown> in all R contexts
 with the convenience of 'htmlwidgets'.

Package: r-cran-flippant
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-magrittr, r-cran-minpack.lm, r-cran-plyr, r-cran-pracma, r-cran-stringi, r-cran-withr
Suggests: r-cran-bookdown, r-cran-devtools, r-cran-microbenchmark, r-cran-multipanelfigure, r-cran-pander, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-flippant_1.5.5-1.ca2004.1_all.deb
Size: 336212
MD5sum: b4134b4b75fd32490bf0cd711bfb7754
SHA1: 6205ba2fdd4f09da9ce0685c82c7fa9b0f884961
SHA256: 8791dfd70cf479dfabb41ff663328abedf141080d8a3656b32f2d9d18ccd8be6
SHA512: 3f388cee0e784dafdcc741d26cd41e15b785d6de0ae86313d477682cd8aa99b959f1256433f5576717ce7ed258ea50b06904bdef6f51d152470dfc0f04a03fea
Homepage: https://cran.r-project.org/package=flippant
Description: CRAN Package 'flippant' (Dithionite Scramblase Assay Analysis)
 The lipid scrambling activity of protein extracts and purified scramblases
 is often determined using a fluorescence-based assay involving many manual
 steps. flippant offers an integrated solution for the analysis and
 publication-grade graphical presentation of dithionite scramblase assays, as
 well as a platform for review, dissemination and extension of the strategies
 it employs. The package's name derives from a play on the fact that lipid
 scrambling is also sometimes referred to as 'flipping'.  The package is
 originally published as Cotton, R.J., Ploier, B., Goren, M.A., Menon, A.K.,
 and Graumann, J. (2017). "flippant–An R package for the automated analysis
 of fluorescence-based scramblase assays." BMC Bioinformatics 18, 146.
 <DOI:10.1186/s12859-017-1542-y>.

Package: r-cran-flipscores
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-flipscores_1.3.2-1.ca2004.1_all.deb
Size: 70772
MD5sum: a8e36975b1ec10cc8fc6361bedaad3be
SHA1: dd295f7886243f89750837e6de08018f1e5ea7a4
SHA256: 0d1a60484e591aa28a7cfce7362c306fd56b7d1e6bd8d408416eb77cb0f91f5a
SHA512: ca2e21116d7242c3671207b8bb0ab69e189639486323d97df5865d43a70cc5d98753f96ef0f9cbf9ec1c3ca0e5981ed85ffd36b589f45dfdd2f32569478e7b0e
Homepage: https://cran.r-project.org/package=flipscores
Description: CRAN Package 'flipscores' (Robust Score Testing in GLMs, by Sign-Flip Contributions)
 Provides robust tests for testing in GLMs, by sign-flipping score
 contributions. The tests are robust against overdispersion,
 heteroscedasticity and, in some cases, ignored nuisance variables. See
 Hemerik, Goeman and Finos (2020) <doi:10.1111/rssb.12369>.

Package: r-cran-flobr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-blob, r-cran-chk, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flobr_0.2.3-1.ca2004.1_all.deb
Size: 611504
MD5sum: 920fe5fedc4bec7a7ab02a21d9d6857f
SHA1: 100df4b84116993536386f9301c7c7a4a1d34bb9
SHA256: 46f1524f268bc250d6532afecd585bf30bc2cca8394d72fc9bc699e715f80b24
SHA512: 9a6c681499a78df897be491016f46aed0549f38f1c209d398c3208800c30e23a0699059c6ff644a64cb8b68c596f0168edc8d353f47377ed62f7cdf456b083e6
Homepage: https://cran.r-project.org/package=flobr
Description: CRAN Package 'flobr' (Convert Files to and from Binary Objects (BLOBs))
 Converts files to and from flobs.  A flob is a file that was read into
 binary in integer-mode as little endian, saved as the single element of a
 named list (where the name is the name of the original file) and then
 serialized before being coerced into a blob.  Flobs are useful for writing
 and reading files to and from databases.

Package: r-cran-flocker
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4507
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-assertthat, r-cran-boot, r-cran-brms, r-cran-loo, r-cran-mass, r-cran-matrixstats, r-cran-withr
Suggests: r-cran-bh, r-cran-knitr, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rstan, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-flocker_1.0-0-1.ca2004.1_all.deb
Size: 2780668
MD5sum: 0028c6db931ccf62d09d7e5f46684375
SHA1: 25ddada264aa8e8228f8d54f48c1fef7c3b3d99a
SHA256: 632dad3abf969d85477a670281d0f2ef3e9b6e71806d3b7a6b8696ec625c2b1d
SHA512: 92dd196cda6adfee06fda2fdf90e22d75812307ea3c26f725312a434f662a63e864b6f439c4059b90a406d7eccac9a5ed2a770f67c54b5cc3ebb6b3c1982bdc2
Homepage: https://cran.r-project.org/package=flocker
Description: CRAN Package 'flocker' (Flexible Occupancy Estimation with Stan)
 Fit occupancy models in 'Stan' via 'brms'. The full variety of 'brms'
 formula-based effects structures are available to use in multiple classes of
 occupancy model, including single-season models, models with data
 augmentation for never-observed species, dynamic (multiseason) models with
 explicit colonization and extinction processes, and dynamic models with
 autologistic occupancy dynamics.  Formulas can be specified for all relevant
 distributional terms, including detection and one or more of occupancy,
 colonization, extinction, and autologistic depending on the model type.
 Several important forms of model post-processing are provided.  References:
 Bürkner (2017) <doi:10.18637/jss.v080.i01>; Carpenter et al. (2017)
 <doi:10.18637/jss.v076.i01>; Socolar & Mills (2023)
 <doi:10.1101/2023.10.26.564080>.

Package: r-cran-flood
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd, r-cran-tlmoments, r-cran-magrittr, r-cran-copula
Filename: pool/dists/focal/main/r-cran-flood_0.1.1-1.ca2004.1_all.deb
Size: 84096
MD5sum: 4845909e54be7a5e1c5a1276e49e8d39
SHA1: a5c72af43a36752962582196caeb217aabc21459
SHA256: 38b9c602bf18f4605b6e3bb9df9faa5b8155098bb1317df61640a4d671f207bd
SHA512: 10f305ff425d516ba8f95c7de428293017ce121b73f68a82daa4720a191a01d4b06215b9c3b4b240def0d1fe55fdf84a774533baf8e251c7a39cec4970e9612e
Homepage: https://cran.r-project.org/package=flood
Description: CRAN Package 'flood' (Statistical Methods for the (Regional) Analysis of FloodFrequency)
 Includes several statistical methods for the estimation of parameters and
 high quantiles of river flow distributions. The focus is on regional
 estimation based on homogeneity assumptions and computed from multivariate
 observations (multiple measurement stations).  For details see Kinsvater et
 al. (2017) <arXiv:1701.06455>.

Package: r-cran-floodfreqplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-floodfreqplot_0.1.0-1.ca2004.1_all.deb
Size: 77172
MD5sum: 7614f2cbfd32a43e5fb17a36ca138759
SHA1: 860baa9a3249b31f8618df43db511c6efebccc64
SHA256: 2351941b31865925571e83df0a628aeb82b6cb790f58088a6570ae799cdd53da
SHA512: cd13ab00d90799ca10e53ccafe85a8fd6de3d9a059e27efbe3c546054c928c4bb5ef020642debae036d22d324b230b713f2f82bc53e0dbdad0cf029663ee457e
Homepage: https://cran.r-project.org/package=FloodFreqPlot
Description: CRAN Package 'FloodFreqPlot' (Flood Probability Plotting and Graphical Frequency Analysis)
 Plotting flood quantiles and their corresponding probabilities (return
 periods) on the probability papers.  The details of relevant methods are
 available in Chow et al (1988, ISBN: 007070242X, 9780070702424), and Bobee
 and Ashkar (1991, ISBN: 0918334683, 9780918334688).

Package: r-cran-flora
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-jsonlite, r-cran-stringdist
Suggests: r-cran-testthat, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-flora_0.3.4-1.ca2004.1_all.deb
Size: 7370056
MD5sum: be5b43808970def4695a64665ad347c2
SHA1: 1a659374605e21ebce1caae3b6f3b66f51e58774
SHA256: 9de57e7a2baecbed6499593ec548d50cf53f14d61624ba2962950d05282ab78e
SHA512: 128ecc380258785f3ff76e17496f09de24589b78fe1ae2dd164abce6db4963650ff34c397b456eb5f7038ffaabd7b8d8f8023d461fe64efda2909ca4c52ef622
Homepage: https://cran.r-project.org/package=flora
Description: CRAN Package 'flora' (Tools for Interacting with the Brazilian Flora 2020)
 Tools to quickly compile taxonomic and distribution data from the Brazilian
 Flora 2020.

Package: r-cran-florabr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3688
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-data.table, r-cran-httr, r-cran-terra, r-cran-dosnow, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-florabr_1.3.0-1.ca2004.1_all.deb
Size: 3195148
MD5sum: 353bdc57520f7f060f96c93aa7fd9bab
SHA1: 755175123a06b71face7dae7c6d285aa2b6492fb
SHA256: 181287b1d18edca4faa96cb8c042b7931a7646cd65996a0a4107af381cd8ca76
SHA512: 28391dfb269dfbce0b8fb38150e7c1188c87a7bd2de6c5c732dc257077b174e731a775f8f07b7c1b06f945124cb3d4940bb944899e6792deaad89d06ed3c375c
Homepage: https://cran.r-project.org/package=florabr
Description: CRAN Package 'florabr' (Explore Flora e Funga do Brasil Database)
 A collection of functions designed to retrieve, filter and spatialize data
 from the Flora e Funga do Brasil dataset. For more information about the
 dataset, please visit <https://floradobrasil.jbrj.gov.br/consulta/>.

Package: r-cran-flourishcharts
Architecture: all
Version: 1.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jsonlite, r-cran-dplyr, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-reticulate, r-cran-tidyr, r-cran-here
Filename: pool/dists/focal/main/r-cran-flourishcharts_1.0.0.3-1.ca2004.1_all.deb
Size: 4198572
MD5sum: 78d90b9234e105a10fdc69bb1a54cac1
SHA1: 49a80cd7fe1ac29035a5927209f33a468f1c92c7
SHA256: 1d9b9475fa2d60bacbf5fad13f138105acd3b0b0fb833a0a7d0376b3ef0cee4a
SHA512: 5e855542283df65cec19eaa2f29e6133cf50260a43d3e3312d18f60616be56c87207757a66fd95f8e8125b9236b7dfb6d9998b7677ccce23cd71753bbef8643d
Homepage: https://cran.r-project.org/package=flourishcharts
Description: CRAN Package 'flourishcharts' ('Flourish' for 'R' and 'Python')
 Interactive data visualization for data practitioners. 'flourishcharts'
 allows users to visualize their data using 'Flourish' graphs that are
 grounded in data storytelling principles. Users can create racing bar & line
 charts, as well as other interactive elements commonly found in 'D3'
 graphics, easily in 'R' and 'Python'.  The package relies on an enterprise
 API provided by 'Flourish', a data visualization platform
 <https://developers.flourish.studio/api/introduction/>.

Package: r-cran-flow
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2859
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nomnoml, r-cran-htmlwidgets, r-cran-rstudioapi, r-cran-webshot, r-cran-styler, r-cran-here, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-esquisse, r-cran-tidyselect, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-flow_0.2.0-1.ca2004.1_all.deb
Size: 1848232
MD5sum: 614715cbb8cd874dbde0547fced15583
SHA1: 24151a3f7bd7ba1b63ba5c9a24f6a6f6535e671f
SHA256: 37d67b232e5e13c3da3503adc4e80cab38d7153101166fb2387b0b11faa6fca8
SHA512: 3e050fa6d9dafb0981117be2e5d98918b16d1e7e3626b94e251466e35afc0f4b0012645c8a07f00d60bf7fc36e3bc3fe86577a733b25fc199494ed6428bb9714
Homepage: https://cran.r-project.org/package=flow
Description: CRAN Package 'flow' (View and Browse Code Using Flow Diagrams)
 Visualize as flow diagrams the logic of functions, expressions or scripts in
 a static way or when running a call, visualize the dependencies between
 functions or between modules in a shiny app, and more.

Package: r-cran-flowchart
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 517
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gmisc, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyselect, r-cran-rlang, r-cran-cli
Suggests: r-cran-knitr, r-cran-ragg, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-flowchart_0.8.0-1.ca2004.1_all.deb
Size: 286148
MD5sum: 5e618e6b18067d91d0c37fa499002482
SHA1: b2a03a7e63da9d24d49d912e22202064bbe6638b
SHA256: 6cd1b724dbc212d5beef1f8c805049348606d2cd5e81cbd771846ac3edabe84a
SHA512: f24946855609d12538f355296fdc709e119a6a24e351b9f8de31fc084569c017be8bb3889f7e58a3b018a530effac95d7d7ec45fa839100e5fc06572b92497cf
Homepage: https://cran.r-project.org/package=flowchart
Description: CRAN Package 'flowchart' (Tidy Flowchart Generator)
 Creates participant flow diagrams directly from a dataframe. Representing
 the flow of participants through each stage of a study, especially in
 clinical trials, is essential to assess the generalisability and validity of
 the results. This package provides a set of functions that can be combined
 with a pipe operator to create all kinds of flowcharts from a data frame in
 an easy way.

Package: r-cran-flower
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-flower_1.0-1.ca2004.1_all.deb
Size: 54620
MD5sum: 46161ccd831ea8b7667ae81e089e0c23
SHA1: fc0c0cd4a896ebbf22a03ad55d2e05448469abac
SHA256: 5b1b20379293976050e3d30af7a95db1fa795443c0c678a4fef9d08501b2de3c
SHA512: b3ca796918191c32ef4d59ca3bdcac07ebef528183a37a2944ad53cfdaa9fbd63da494931ce3b45339fb91701b008ac830f38b7e3c9b657eeb753935ce3f5943
Homepage: https://cran.r-project.org/package=flower
Description: CRAN Package 'flower' (Tools for characterizing flowering traits)
 Flowering is an important life history trait of flowering plants. It has
 been mainly analyzed with respect to flowering onset and duration of
 flowering. This tools provide some functions to compute the temporal
 distribution of an flowering individual related to other population members.
 fCV() measures the temporal variation in flowering. RIind() measures the
 rank order of flowering for individual plants within a population. SI(),
 SI2(), SI3(), and SI4() calculate flowering synchrony with different
 methods.

Package: r-cran-flowermate
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flowermate_1.1-1.ca2004.1_all.deb
Size: 144916
MD5sum: 078c04bcc789eb038b5acedbdc77c7e3
SHA1: 0e7936ede2ca1da6327351e9fa9c13f31c19514a
SHA256: 9fd86f50526d42c026c1c7a758f45687bc8cd100c47bc8170adea8c97c343fe9
SHA512: c83594fe1a90ed11caf9718f66e341e324097033eb75f845f288d4db07d58b48373535fa1452340208e2464533a70b2d0e68cc3ef7d76c7eca43ffe523be2d8b
Homepage: https://cran.r-project.org/package=FlowerMate
Description: CRAN Package 'FlowerMate' (Reciprocity Indices for Style-Polymorphic Plants)
 Computes unidimensional and multidimensional Reciprocity and Inaccuracy
 indices. These indices are applicable to common heterostylous populations
 and to any other type of stylar dimorphic and trimorphic populations, such
 as in enantiostylous and three-dimensional heterostylous plants.
 Simón-Porcar, V., A. J. Muñoz-Pajares, J. Arroyo, and S. D. Johnson. (in
 press) "FlowerMate: multidimensional reciprocity and inaccuracy indices for
 style-polymorphic plant populations."

Package: r-cran-flowfield
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-semipar
Filename: pool/dists/focal/main/r-cran-flowfield_1.0-1.ca2004.1_all.deb
Size: 41044
MD5sum: a2b0a2f81a453a4d8e693fb4b6ab2930
SHA1: 8a01788835b79119ffc0f138337f8a864150e475
SHA256: f38cb6788173da689374d1f712c980f4a9f2f11209f9a0c9146e884f3daf0e09
SHA512: deec0aaad14e25285e676d671b8f1787b0aad5fe1b494f35744b138275e8e7110480760d07ba7c2ff75c11ce9f892a49946a48198ea29ae1858a226c7908d778
Homepage: https://cran.r-project.org/package=flowfield
Description: CRAN Package 'flowfield' (Forecasts future values of a univariate time series)
 Flow field forecasting draws information from an interpolated flow field of
 the observed time series to incrementally build a forecast.

Package: r-cran-flowmapblue
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5093
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-quarto
Filename: pool/dists/focal/main/r-cran-flowmapblue_0.0.2-1.ca2004.1_all.deb
Size: 1653520
MD5sum: 4191547f2c9de540052425f52eb175c1
SHA1: 3edf023caf0ed8c34bad6464dea477eef09eed94
SHA256: cdafee04dfbec1a379e7984e571ac4ab24e5ec88e33cb3649c8ee4d514c70ab2
SHA512: 4d5de9642a8ff35ea6500375c93f6bb550801e973cb1166d16091839882b9cd266085e9bc2953a5eb5122b31b565c921d548068b76ed264ca3f9a16a681a1f7f
Homepage: https://cran.r-project.org/package=flowmapblue
Description: CRAN Package 'flowmapblue' (Flow Map Rendering)
 Create interactive flow maps using 'FlowmapBlue' 'TypeScript' library
 <https://github.com/FlowmapBlue/FlowmapBlue>, which is a free tool for
 representing aggregated numbers of movements between geographic locations as
 flow maps. It is used to visualize urban mobility, commuting behavior, bus,
 subway and air travels, bicycle sharing, human and bird migration, refugee
 flows, freight transportation, trade, supply chains, scientific
 collaboration, epidemiological and historical data and many other topics.
 The package allows to either create standalone flow maps in form of
 'htmlwidgets' and save them in 'HTML' files, or integrate flow maps into
 'Shiny' applications.

Package: r-cran-flowmapper
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1029
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-forcats, r-cran-scales, r-cran-purrr, r-cran-sfheaders, r-cran-sf, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-flowmapper_0.1.4-1.ca2004.1_all.deb
Size: 1014548
MD5sum: 0a5b220d670a37b0c0a2792e3c136c0c
SHA1: 20e486e000f9252c0c1edbe25bd4c9c7663fa770
SHA256: f830b8485c66bd025069bc5a0af865a729e0082943f73da317dad165c5f3485e
SHA512: d77f478836c1a27a202aec185d7b018b912d847d4e437e882c45cd28d7af67071f8eda2f5081ada184506fbfacd66926ee809d992f11d9ff217ad73fae30aee3
Homepage: https://cran.r-project.org/package=flowmapper
Description: CRAN Package 'flowmapper' (Draw Flows (Migration, Goods, Money, Information) on 'ggplot2'Plots)
 Adds flow maps to 'ggplot2' plots. The flow maps consist of 'ggplot2' layers
 which visualize the nodes as circles and the bilateral flows between the
 nodes as bidirectional half-arrows.

Package: r-cran-flowml
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abcanalysis, r-cran-caret, r-cran-data.table, r-cran-dplyr, r-cran-fastshap, r-cran-furrr, r-cran-future, r-cran-magrittr, r-cran-optparse, r-cran-purrr, r-cran-r6, r-cran-readr, r-cran-rjson, r-cran-rlang, r-cran-rsample, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vip
Suggests: r-cran-ada, r-cran-adabag, r-cran-arm, r-cran-bartmachine, r-cran-bst, r-cran-c50, r-cran-catools, r-cran-class, r-cran-cubist, r-cran-e1071, r-cran-earth, r-cran-elasticnet, r-cran-evtree, r-cran-fastica, r-cran-foreach, r-cran-frbs, r-cran-gam, r-cran-gbm, r-cran-ggplot2, r-cran-glmnet, r-cran-h2o, r-cran-hda, r-cran-ipred, r-cran-keras, r-cran-kernlab, r-cran-kknn, r-cran-klar, r-cran-knitr, r-cran-kohonen, r-cran-lars, r-cran-leaps, r-cran-liblinear, r-cran-logicreg, r-cran-mass, r-cran-matrix, r-cran-mboost, r-cran-mda, r-cran-mgcv, r-cran-monomvn, r-cran-neuralnet, r-cran-nnet, r-cran-nnls, r-cran-pamr, r-cran-partdsa, r-cran-party, r-cran-partykit, r-cran-penalized, r-cran-pls, r-cran-plyr, r-cran-proxy, r-cran-quantregforest, r-cran-randomforest, r-cran-ranger, r-cran-rferns, r-cran-rmarkdown, r-cran-rpart, r-cran-rrcov, r-cran-rrcovhd, r-cran-rsnns, r-cran-rweka, r-cran-sda, r-cran-shapviz, r-cran-spls, r-cran-superpc, r-cran-vgam, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-flowml_0.1.3-1.ca2004.1_all.deb
Size: 304928
MD5sum: a4e9e63156345e6fe8ad8e2cf8818a23
SHA1: 87be033f9dc8e010ff4e057988d49a60ff64ea22
SHA256: ba98365d9c7214eaacf8f7a536c54cea970acdbb09442e5772848d66c8d3327e
SHA512: b3848cf580c403b239cb1c74dc117649c793ce6bc649176275b098c87b8efc8f2556fb06526c0e77ab50ed59e4098dc16337030fe720c8225fedee787d98c8cd
Homepage: https://cran.r-project.org/package=flowml
Description: CRAN Package 'flowml' (A Backend for a 'nextflow' Pipeline that PerformsMachine-Learning-Based Modeling of Biomedical Data)
 Provides functionality to perform machine-learning-based modeling in a
 computation pipeline.  Its functions contain the basic steps of
 machine-learning-based knowledge discovery workflows, including model
 training and optimization, model evaluation, and model testing.  To perform
 these tasks, the package builds heavily on existing machine-learning
 packages, such as 'caret' <https://github.com/topepo/caret/> and associated
 packages.  The package can train multiple models, optimize model
 hyperparameters by performing a grid search or a random search, and
 evaluates model performance by different metrics.  Models can be validated
 either on a test data set, or in case of a small sample size by k-fold cross
 validation or repeated bootstrapping.  It also allows for 0-Hypotheses
 generation by performing permutation experiments.  Additionally, it offers
 methods of model interpretation and item categorization to identify the most
 informative features from a high dimensional data space.  The functions of
 this package can easily be integrated into computation pipelines (e.g.
 'nextflow' <https://www.nextflow.io/>) and hereby improve scalability,
 standardization, and re-producibility in the context of machine-learning.

Package: r-cran-flowr
Architecture: all
Version: 0.9.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2872
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-params, r-cran-diagram, r-cran-whisker, r-cran-readr
Suggests: r-cran-reshape2, r-cran-knitr, r-cran-testthat, r-cran-funr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-flowr_0.9.11-1.ca2004.1_all.deb
Size: 615780
MD5sum: 75e8abde652543e4960c42aa5912521d
SHA1: dcfb0056de966f6187a4c1fc68f44261fbb5883a
SHA256: 3b07b064b7bbe78856e87a0496cc0841ff2bc67f3e26bf460fd7880fb6bb0761
SHA512: 8364691b5874f46fc597f9f514460bedf513692f82b595c43a3cf54cfb57d79629f7eded31bfa763333d86fb4736ade8cfa6039d8259a0dfe7f147a8317d3577
Homepage: https://cran.r-project.org/package=flowr
Description: CRAN Package 'flowr' (Streamlining Design and Deployment of Complex Workflows)
 This framework allows you to design and implement complex pipelines, and
 deploy them on your institution's computing cluster. This has been built
 keeping in mind the needs of bioinformatics workflows. However, it is easily
 extendable to any field where a series of steps (shell commands) are to be
 executed in a (work)flow.

Package: r-cran-flowregenvcost
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-flowregenvcost_0.1.1-1.ca2004.1_all.deb
Size: 114124
MD5sum: 3f659cf2857ea5a8a7443d3cd906dd2d
SHA1: b98f91882991e7358e0570a4db63e70f79bf89e5
SHA256: 30a3eee564634d260bedef223f376fcf9225debfeffd67600507dce660e8e4e4
SHA512: f006bd5680f6b5fc17bc0a4c87b406b663297cf9f877dd62b838504d23b24c35321c537000d8cb3f926340618ebcbcdad346fc3c079429a1cc59a6b10d110927
Homepage: https://cran.r-project.org/package=FlowRegEnvCost
Description: CRAN Package 'FlowRegEnvCost' (The Environmental Costs of Flow Regulation)
 An application to calculate the daily environmental costs of river flow
 regulation by dams based on García de Jalon et al. 2017
 <doi:10.1007/s11269-017-1663-0>.

Package: r-cran-flowscreen
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3310
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zyp, r-cran-changepoint, r-cran-evir
Filename: pool/dists/focal/main/r-cran-flowscreen_2.0-1.ca2004.1_all.deb
Size: 1582304
MD5sum: caba9a0c445f3ea1bd3bd527cfab66c9
SHA1: f18288258be791bfcf80e7113f3587ee9954c37c
SHA256: 72a32acf7220d301ea0afbe68c1e77ba619afb6d9a22ad9b8b35aa2a25f98fa6
SHA512: a6ca3f04c23a64874e82f75776c0f9cc53d0221011ed3b4db8ac180da1c07f1e4081fbfe04fbd8af7d6eb22200246b4f5650ca6824acb2b575df2d10d3f9a42f
Homepage: https://cran.r-project.org/package=FlowScreen
Description: CRAN Package 'FlowScreen' (Daily Streamflow Trend and Change Point Screening)
 Screens daily streamflow time series for temporal trends and change-points.
 This package has been primarily developed for assessing the quality of daily
 streamflow time series. It also contains tools for plotting and calculating
 many different streamflow metrics. The package can be used to produce
 summary screening plots showing change-points and significant temporal
 trends for high flow, low flow, and/or baseflow statistics, or it can be
 used to perform more detailed hydrological time series analyses. The package
 was designed for screening daily streamflow time series from Water Survey
 Canada and the United States Geological Survey but will also work with
 streamflow time series from many other agencies.  Package update to version
 2.0 made updates to read.flows function to allow loading of GRDC and ROBIN
 streamflow record formats.  This package uses the `changepoint` package for
 change point detection.  For more information on change point methods, see
 the changepoint package at <https://cran.r-project.org/package=changepoint>.

Package: r-cran-flowtracer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-comprehenr, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-data.table, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-flowtracer_0.1.1-1.ca2004.1_all.deb
Size: 236000
MD5sum: 24f662c28c20ff8843d9dff686de69ec
SHA1: e6dbf19b9a03fc8ba72e3b3c356583f8058c53fe
SHA256: 11e6c54b8640cf6744b59693b824477aaa49bbebf512506a781caf990a6df690
SHA512: 5bf8f7614ff88f117e1117636189e3b5b8c9e06994f5f45b0f9e787563c633b61d4d4c5f5d58cdd29f234a2414a4aacf1712f5af123d3c466481a09bedbdc612
Homepage: https://cran.r-project.org/package=flowTraceR
Description: CRAN Package 'flowTraceR' (Tracing Information Flow for Inter-Software Comparisons in MassSpectrometry-Based Bottom-Up Proteomics)
 Useful functions to standardize software outputs from ProteomeDiscoverer,
 Spectronaut, DIA-NN and MaxQuant on precursor, modified peptide and
 proteingroup level and to trace software differences for identifications
 such as varying proteingroup denotations for common precursor.

Package: r-cran-flps
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1223
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rstan, r-cran-rcpp, r-cran-mirt, r-cran-mass, r-cran-mvtnorm, r-cran-ggplot2, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lavaan, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-flps_1.1.0-1.ca2004.1_all.deb
Size: 838680
MD5sum: 6a896c40e3ca53d0bf11197f4b61ec5f
SHA1: c201dc953b92a02703b3eaf531073d91928aef9d
SHA256: 0fb7d34991c7902d191e532514c84619182f67ccaa6d6014263ec22d8f87392a
SHA512: 12919fec7c5e4f6de8f94e865d16b29dfbb27fd5b200400ed98ab05fd67222e7ee9c605456ac62bf4e55c35bfa3909458929b168b95ff2914d7d36e8e7fd40a7
Homepage: https://cran.r-project.org/package=flps
Description: CRAN Package 'flps' (Fully-Latent Principal Stratification)
 Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with
 measurement models. Lee, Adam, Kang, & Whittaker (2023).
 <doi:10.1007/978-3-031-27781-8_25>. This package is supported by the
 Institute of Education Sciences, U.S. Department of Education, through Grant
 R305D210036.

Package: r-cran-flr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-flr_1.0-1.ca2004.1_all.deb
Size: 69564
MD5sum: 0b5db80ae019d454cd7c01a049d6127c
SHA1: 02d2a4d9ce262c22eab990b424853d7478e391c5
SHA256: 0b973a15fa5c3c4f3dfed2a9e365b7e48d0bebee5fee7d4779b2f3e92d9b1b24
SHA512: dd09af025024c5897c594a52cd2b315ec499617da4752f475524354a76ac20cf310abe898a10f02f7f339e63fe0f0f5a6ba5e375314a77e46e97e01730c38a15
Homepage: https://cran.r-project.org/package=FLR
Description: CRAN Package 'FLR' (Fuzzy Logic Rule Classifier)
 FLR algorithm for classification

Package: r-cran-fluidigm
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1859
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-reshape
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-digest
Filename: pool/dists/focal/main/r-cran-fluidigm_0.2-1.ca2004.1_all.deb
Size: 414140
MD5sum: 71e81fb1fca7624c82459ffc3e69358f
SHA1: a92a7c3623e1bc44cadc3eb07ee1f1b252f4cc29
SHA256: fbd915ece40a4e307e9562f3c5cd7e89110237ac14c431e80002fee7891a8631
SHA512: d14fa9b3fefc1f78840a0e82bc00c2cc00fe363f41ff698dfb4a569e391aef96f5de364664037a5bd297ee0c5a2e0ba518d1527dbb7e4a36298102b909dcb41d
Homepage: https://cran.r-project.org/package=Fluidigm
Description: CRAN Package 'Fluidigm' (Handling Fluidigm Data)
 Designed to streamline the process of analyzing genotyping data from
 Fluidigm machines, this package offers a suite of tools for data handling
 and analysis. It includes functions for converting Fluidigm data to format
 used by 'PLINK', estimating errors, calculating pairwise similarities,
 determining pairwise similarity loci, and generating a similarity matrix.

Package: r-cran-flumodl
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dlnm, r-cran-mvmeta, r-cran-tsmodel
Filename: pool/dists/focal/main/r-cran-flumodl_0.0.3-1.ca2004.1_all.deb
Size: 182892
MD5sum: 6217a613b422b8fc7f7975efe25cf264
SHA1: fd5eb1e2f4ba2db0fddbb9897674c6f7ffb45990
SHA256: e779e5743209e384dcda2fb215178dd290c603633193dfac68e6c9e2293f8298
SHA512: 0fa397cbd15948a48c4d4f17930f4d8d1ce548568ede4cc627cf76c8bc5911c595d076875b8699d47b9635e7a61e6eaf6306df901f45ed18d5fdd8599b627275
Homepage: https://cran.r-project.org/package=FluMoDL
Description: CRAN Package 'FluMoDL' (Influenza-Attributable Mortality with Distributed-Lag Models)
 Functions to estimate the mortality attributable to influenza and
 temperature, using distributed-lag nonlinear models (DLNMs), as first
 implemented in Lytras et al. (2019)
 <doi:10.2807/1560-7917.ES.2019.24.14.1800118>.  Full descriptions of
 underlying DLNM methodology in Gasparrini et al.  <doi:10.1002/sim.3940>
 (DLNMs), <doi:10.1186/1471-2288-14-55> (attributable risk from DLNMs) and
 <doi:10.1002/sim.5471> (multivariate meta-analysis).

Package: r-cran-fluosurv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1984
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-fluosurv_1.0.0-1.ca2004.1_all.deb
Size: 988748
MD5sum: 4b0ee50abe45c1bdaf1af22106053c78
SHA1: 27dc356cd5dda214af62008d893c153ad583f1b7
SHA256: ee671edae1a86661968f45a973b53e812bbfc7a45ba5f8fc72177cf772a88571
SHA512: 5a64e8ecffbab08a37d1a4657e221265d33d8af770a7fc1981a499f96fc205a5b5e955b76074f9cd804a71eaa624fc467d7ebba32fce11a735c4fda4aa60f3dc
Homepage: https://cran.r-project.org/package=fluoSurv
Description: CRAN Package 'fluoSurv' (Estimate Insect Survival from Fluorescence Data)
 Use spectrophotometry measurements performed on insects as a way to infer
 pathogens virulence. Insect movements cause fluctuations in fluorescence
 signal, and functions are provided to estimate when the insect has died as
 the moment when variance in autofluorescence signal drops to zero. The
 package provides functions to obtain this estimate together with functions
 to import spectrophotometry data from a Biotek microplate reader. Details of
 the method are given in Parthuisot et al. (2018) <doi:10.1101/297929>.

Package: r-cran-fluspect
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-fluspect_1.0.0-1.ca2004.1_all.deb
Size: 55392
MD5sum: ea8f2163fb85df81fe49cb89bf9bf46d
SHA1: c3738c52a1065a74d92174646a2aa13a011050a1
SHA256: a1b324cbcb61435b2f233aa9cb867adb94536eb2f58102402d47d3a33d0fb271
SHA512: a0589fd9bfa54338e20868794c4a6f440a4ca818ee8dfc01342e5f1fb3496c9747d1e610746a3e33b788dc957a42971511cff551110b02a8fb91d1b7ed43ac66
Homepage: https://cran.r-project.org/package=fluspect
Description: CRAN Package 'fluspect' (Fluspect-B)
 A model for leaf fluorescence, reflectance and transmittance spectra. It
 implements the model introduced by Vilfan et al. (2016)
 <DOI:10.1016/j.rse.2016.09.017>. Fluspect-B calculates the emission of ChlF
 on both the illuminated and shaded side of the leaf.  Other input parameters
 are chlorophyll and carotenoid concentrations, leaf water, dry matter and
 senescent material (brown pigments) content, leaf mesophyll structure
 parameter and ChlF quantum efficiency for the two photosystems, PS-I and
 PS-II.

Package: r-cran-flux
Architecture: all
Version: 0.3-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-catools
Filename: pool/dists/focal/main/r-cran-flux_0.3-0.1-1.ca2004.1_all.deb
Size: 599420
MD5sum: 57e2096ad8122d908cb4569190b95c1d
SHA1: caf088eef85236191c92ff231dcb17fbc8606156
SHA256: 239ae25f88ba5590ac7cddac78180dedf260df7629d1f27043adbb8677243318
SHA512: 46df00247d4907e82128c69eab3ec6f70358f3c6fd424d5b3729345c1c526072f2d0aac60599a1adef508c14163dd1b10cbdb7c143af31a40639e977848d24b2
Homepage: https://cran.r-project.org/package=flux
Description: CRAN Package 'flux' (Flux Rate Calculation from Dynamic Closed Chamber Measurements)
 Functions for the calculation of greenhouse gas flux rates from closed
 chamber concentration measurements. The package follows a modular concept:
 Fluxes can be calculated in just two simple steps or in several steps if
 more control in details is wanted. Additionally plot and preparation
 functions as well as functions for modelling gpp and reco are provided.

Package: r-cran-fluxfinder
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-jsonlite, r-cran-lubridate, r-cran-mass
Suggests: r-cran-gasfluxes, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-fluxfinder_1.1.0-1.ca2004.1_all.deb
Size: 183428
MD5sum: 2dd6ed7f2f13d2c666a2f551dc65965b
SHA1: f2af5cbf855124e63879aade3bb2b4d17fe1ce51
SHA256: a141449d82520d37afaf7700f0ec91fdc847f4c49ddefd1ef8a7a444bf60bdbe
SHA512: 503710f6249144bbcb122cf619d529eded7e4e2851b36a9eb5b6404cc6b7615938fb1b70d4d7f1a713a1ee78a7399ac1bafd434961339d2448d574d6b89b9983
Homepage: https://cran.r-project.org/package=fluxfinder
Description: CRAN Package 'fluxfinder' (Parsing, Computation, and Diagnostics for Greenhouse GasMeasurements)
 Parse static-chamber greenhouse gas measurement files generated by a variety
 of instruments; compute flux rates using multi-observation metadata; and
 generate diagnostic metrics and plots.  Designed to be easy to integrate
 into reproducible scientific workflows.

Package: r-cran-fluxible
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3049
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-haven, r-cran-lubridate, r-cran-rlang, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-zoo, r-cran-progress, r-cran-purrrlyr, r-cran-tidyselect, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-forcats, r-cran-tidyverse, r-cran-fs
Filename: pool/dists/focal/main/r-cran-fluxible_1.2.6-1.ca2004.1_all.deb
Size: 2192568
MD5sum: b5fd603d3d0fa0c838b06fdb90755176
SHA1: 8d78b4747277751bf114e2f5efae6bed3bd279a1
SHA256: b6095f693d0768115bbc44c127f174741f8bf0d7af2bb624a535c7e40970de7b
SHA512: 0c0d533e2c08c3e672d54249f056201a0884b4a31c22c4f9fc0dee07d1122cf6ddd520070f7624a26922517607004f03286bc03c3560e40abdff85a9b46899b7
Homepage: https://cran.r-project.org/package=fluxible
Description: CRAN Package 'fluxible' (Ecosystem Gas Fluxes Calculations for Closed Loop Chamber Setup)
 Processes the raw data from closed loop flux chamber (or tent) setups into
 ecosystem gas fluxes usable for analysis. It goes from a data frame of gas
 concentration over time (which can contain several measurements) and a meta
 data file indicating which measurement was done when, to a data frame of
 ecosystem gas fluxes including quality diagnostics.  Functions provided
 include different models (exponential as described in Zhao et al (2018)
 <doi:10.1016/j.agrformet.2018.08.022>, quadratic and linear) to estimate the
 fluxes from the raw data, quality assessment, plotting for visual check and
 calculation of fluxes based on the setup specific parameters (chamber size,
 plot area, ...).

Package: r-cran-fluxweb
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-fluxweb_2.0.0-1.ca2004.1_all.deb
Size: 265820
MD5sum: 149ea5ce5526f73fcfd833f4c145cc72
SHA1: 50981930430f524b2f90086c86c15c7b4ae252c1
SHA256: b0c06fe8536011f4b8c950327d358c2203141aaebbad589968a9206dc9f1a348
SHA512: 6e79149aa8db3b9676e2bb093387a16b558925a905a287ae3361859d9182385538993aeb4e3f26db41c8f710a1e5799822ac0f78c0e997f53ca8c77f5a817b08
Homepage: https://cran.r-project.org/package=fluxweb
Description: CRAN Package 'fluxweb' (Estimate Energy Fluxes in Food Webs)
 Compute energy fluxes in trophic networks, from resources to their
 consumers, and can be applied to systems ranging from simple two-species
 interactions to highly complex food webs. It implements the approach
 described in Gauzens et al. (2017) <doi:10.1101/229450> to calculate energy
 fluxes, which are also used to calculate equilibrium stability.

Package: r-cran-fma
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 675
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fma_2.5-1.ca2004.1_all.deb
Size: 467484
MD5sum: ba3fc0b1062ad9a81984581ec4902084
SHA1: a6d20d3129f4397035a73e9e2d8b6a6e55648196
SHA256: 29658535a88e28796aba41c9068502a49c8b09407cae74a3efa158537a62b311
SHA512: aeff5000f6d90a60f26c22dfd276a7ea0c7d7fdfcc0bb662d748499f87d431bb929f2a1b5a937344273ad3d66ca5a81e6c6e8684bbecb301570edac8ffd7ef5c
Homepage: https://cran.r-project.org/package=fma
Description: CRAN Package 'fma' (Data Sets from "Forecasting: Methods and Applications" byMakridakis, Wheelwright & Hyndman (1998))
 All data sets from "Forecasting: methods and applications" by Makridakis,
 Wheelwright & Hyndman (Wiley, 3rd ed., 1998)
 <https://robjhyndman.com/forecasting/>.

Package: r-cran-fmadist
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fitdistrplus, r-cran-actuar, r-cran-envstats, r-cran-extradistr, r-cran-mass, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-fmadist_0.1.2-1.ca2004.1_all.deb
Size: 40084
MD5sum: 59d2b1e384556cac91a427b24e49e1b9
SHA1: dbd91f1100fd616414e29cc97ec4bea9cede3e05
SHA256: 97aaf5d10f7bc7897add3ee114f40cf19f6619ebf813aa5e74d9d7f5fe4a6517
SHA512: e9bd243049fc68b7aad79ed19b18f0608a62096d54e21f7d17497f6eb53eb0b7accbd7fe2da1dac71e254fd3e73d64fb3bdc110acc79b5492a1b9f6851ba74b2
Homepage: https://cran.r-project.org/package=FMAdist
Description: CRAN Package 'FMAdist' (Frequentist Model Averaging Distribution)
 Creation of an input model (fitted distribution) via the frequentist model
 averaging (FMA) approach and generate random-variates from the distribution
 specified by "myfit" which is the fitted input model via the FMA approach.
 See W. X. Jiang and B. L. Nelson (2018), "Better Input Modeling via Model
 Averaging," Proceedings of the 2018 Winter Simulation Conference, IEEE
 Press, 1575-1586.

Package: r-cran-fmat
Architecture: all
Version: 2025.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-data.table, r-cran-stringr, r-cran-forcats, r-cran-rvest, r-cran-psych, r-cran-irr, r-cran-glue, r-cran-crayon, r-cran-cli, r-cran-purrr, r-cran-plyr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-brucer, r-cran-psychwordvec, r-cran-text, r-cran-sweater, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-fmat_2025.4-1.ca2004.1_all.deb
Size: 102820
MD5sum: 92a1cbb1f2edc05a2ac8afed5ea2fe19
SHA1: 54698cccb3418624b26075e071d92c3f56a46eab
SHA256: b2c97042c06e5465129f16d5953f6ba851bd32b00a72bc0de0dff010fab42c1c
SHA512: 35c27e8226d780ffa49d63a731f3ad12ab0d05ea5787fb73573c14e77ea27f562f036683ea8b49cacb55a70b650d110c0f43b0d5d614305deabb9085cefe3a40
Homepage: https://cran.r-project.org/package=FMAT
Description: CRAN Package 'FMAT' (The Fill-Mask Association Test)
 The Fill-Mask Association Test ('FMAT') <doi:10.1037/pspa0000396> is an
 integrative and probability-based method using Masked Language Models to
 measure conceptual associations (e.g., attitudes, biases, stereotypes,
 social norms, cultural values) as propositions in natural language.
 Supported language models include 'BERT' <doi:10.48550/arXiv.1810.04805> and
 its variants available at 'Hugging Face'
 <https://huggingface.co/models?pipeline_tag=fill-mask>.  Methodological
 references and installation guidance are provided at
 <https://psychbruce.github.io/FMAT/>.

Package: r-cran-fmbasics
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-fmdates, r-cran-lubridate, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fmbasics_0.3.0-1.ca2004.1_all.deb
Size: 486060
MD5sum: b95affca2abe6eb494864bad1d3ba770
SHA1: decd2e30bd9841944cb978f61465337c0a4c5923
SHA256: 552ea18a43b821d812b869c3e7ec98a17acc95e556d7078880a25fbab7c00847
SHA512: 0a62eb3a8058470c926b117203c2b4157ed62e6e58f242150b10972eacfe4acf884530f91afa4abcb69ea38426b84a28c502a869db9a2bb03480d2776ca11e48
Homepage: https://cran.r-project.org/package=fmbasics
Description: CRAN Package 'fmbasics' (Financial Market Building Blocks)
 Implements basic financial market objects like currencies, currency pairs,
 interest rates and interest rate indices. You will be able to use Benchmark
 instances of these objects which have been defined using their most common
 conventions or those defined by International Swap Dealer Association (ISDA,
 <https://www.isda.org>) legal documentation.

Package: r-cran-fmc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minimalrsd
Filename: pool/dists/focal/main/r-cran-fmc_1.0.1-1.ca2004.1_all.deb
Size: 17944
MD5sum: 8ae2e6cd213446442213686b7293c9b8
SHA1: b41bd8366853b3a633b1eafcc556095e94c1b4ce
SHA256: 949aee46f035c025ac6b93b960bc06cba8edab12f17711972abd4f61140a31a9
SHA512: 0cd9a76da4102d9b336e186ba085b04fbef754feba82bb9a109f5af6f76c824dd29a5fd2fcc25d1148472174df92de8b1461de080a395fed3348987b8ccfe2bc
Homepage: https://cran.r-project.org/package=FMC
Description: CRAN Package 'FMC' (Factorial Experiments with Minimum Level Changes)
 Generate cost effective minimally changed run sequences for symmetrical as
 well as asymmetrical factorial designs.

Package: r-cran-fmcmc
Architecture: all
Version: 0.5-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1837
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-mass, r-cran-matrix
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-mcmc, r-cran-tinytest, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-fmcmc_0.5-2-1.ca2004.1_all.deb
Size: 1341972
MD5sum: fd2103b863631010b95d4db79dbf1ac3
SHA1: 37fc6c88afb7912c4a3f1efcd8aa236d24536d91
SHA256: ce3a955a092af2ae70e12dd1a6a121d9033a6ab62bfd369e8dbc7d0aef39f663
SHA512: 668e4417ec558a10ef2c055428616a94ff46ffcb3aea55d0b8a3f844bc72897331c21741c6fa22c79dbc7f5d455d24d9eb0a841377df637579adbf5f1808d2f2
Homepage: https://cran.r-project.org/package=fmcmc
Description: CRAN Package 'fmcmc' (A friendly MCMC framework)
 Provides a friendly (flexible) Markov Chain Monte Carlo (MCMC) framework for
 implementing Metropolis-Hastings algorithm in a modular way allowing users
 to specify automatic convergence checker, personalized transition kernels,
 and out-of-the-box multiple MCMC chains using parallel computing. Most of
 the methods implemented in this package can be found in Brooks et al. (2011,
 ISBN 9781420079425). Among the methods included, we have: Haario (2001)
 <doi:10.1007/s11222-011-9269-5> Adaptive Metropolis, Vihola (2012)
 <doi:10.1007/s11222-011-9269-5> Robust Adaptive Metropolis, and
 Thawornwattana et al. (2018) <doi:10.1214/17-BA1084> Mirror transition
 kernels.

Package: r-cran-fmdates
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-lubridate
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fmdates_0.1.4-1.ca2004.1_all.deb
Size: 438200
MD5sum: 3e7a1b2ae8291abfb3d680547940ad27
SHA1: dae678a5744145af3cf9920d01a33ca438035a3c
SHA256: bd645c992c0f2a6386bc65fac8110507903753fb0d4efed11ff0b628614f6f6e
SHA512: 69397af4416a2942d4dc3877c9c339e164a0f7292e3bec0d51287393836530fe23add5d7fe6f63b13b19441cd27a428b78f7455dd00abb85e66bb3fab8fbc8b3
Homepage: https://cran.r-project.org/package=fmdates
Description: CRAN Package 'fmdates' (Financial Market Date Calculations)
 Implements common date calculations relevant for specifying the economic
 nature of financial market contracts that are typically defined by
 International Swap Dealer Association (ISDA, <http://www2.isda.org>) legal
 documentation. This includes methods to check whether dates are business
 days in certain locales, functions to adjust and shift dates and time length
 (or day counter) calculations.

Package: r-cran-fmeffects
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3329
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-partykit, r-cran-ggparty, r-cran-ggplot2, r-cran-cowplot, r-cran-r6, r-cran-testthat
Suggests: r-cran-caret, r-cran-furrr, r-cran-future, r-cran-hexbin, r-cran-knitr, r-cran-mlr3verse, r-cran-parallelly, r-cran-ranger, r-cran-rmarkdown, r-cran-rpart, r-cran-tidymodels
Filename: pool/dists/focal/main/r-cran-fmeffects_0.1.4-1.ca2004.1_all.deb
Size: 2650640
MD5sum: 47d7cf04d8d3fd8173da91ab1db435af
SHA1: 7781d3f7807b13c22372a42868875c2f7db3307c
SHA256: 8c9110ddabadd3e9ab8163b9385cd57611b628d8495f624ebc6b12eeb17b12ca
SHA512: 124a9e810528976018011e78d5d456b8f8816ba29b73bf7e7d03b27f331326352efa2dbe4daf9fffff9fb9f9378df462dd2e8ebae86f529096c1d7d8fad86a70
Homepage: https://cran.r-project.org/package=fmeffects
Description: CRAN Package 'fmeffects' (Model-Agnostic Interpretations with Forward Marginal Effects)
 Create local, regional, and global explanations for any machine learning
 model with forward marginal effects. You provide a model and data, and
 'fmeffects' computes feature effects. The package is based on the theory in:
 C. A. Scholbeck, G. Casalicchio, C. Molnar, B. Bischl, and C. Heumann (2022)
 <doi:10.48550/arXiv.2201.08837>.

Package: r-cran-fmm
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1770
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-foreach, r-cran-iterators, r-cran-doparallel, r-cran-gsignal
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fmm_0.4.1-1.ca2004.1_all.deb
Size: 721136
MD5sum: 50b205bed12082183616416486336ee6
SHA1: 4887ba8ebff4ae8fa9ecc10f25a946d289a2077e
SHA256: 894a38f0d298133c9e28eca56127a398814a8f36eab16ed761b07057b9220807
SHA512: b4aa96b61478a433d888d63cf08f755e2671a4fb665b26d7f5f838fe2fc05eb8f5bc29eef680d59ebbec4387dfff8ad3e7c2cebbce78ad772e55b03a0943f3e8
Homepage: https://cran.r-project.org/package=FMM
Description: CRAN Package 'FMM' (Rhythmic Patterns Modeling by FMM Models)
 Provides a collection of functions to fit and explore single,
 multi-component and restricted Frequency Modulated Moebius (FMM) models.
 'FMM' is a nonlinear parametric regression model capable of fitting
 non-sinusoidal shapes in rhythmic patterns. Details about the mathematical
 formulation of 'FMM' models can be found in Rueda et al. (2019)
 <doi:10.1038/s41598-019-54569-1>.

Package: r-cran-fmp
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fmp_1.4-1.ca2004.1_all.deb
Size: 206612
MD5sum: 2e5ee174c8646149a307b872d8e9b4cb
SHA1: 6b5d4daec10ff47438f09a72ed71c807af0991e1
SHA256: 603beb5e7b212d6eee34355290c7af3d25b0773238c219eb9e347964fcd9228b
SHA512: b0bf50f4b1ed5fc9e5f3d12a8ad3002824fdd50d16adbc768e0dfea8a789484c12a4e08a72e0e895f6fdf2deec9f0891f7219356cf18b7dee4e68f058b003eac
Homepage: https://cran.r-project.org/package=FMP
Description: CRAN Package 'FMP' (Filtered Monotonic Polynomial IRT Models)
 Estimates Filtered Monotonic Polynomial IRT Models as described by Liang and
 Browne (2015) <DOI:10.3102/1076998614556816>.

Package: r-cran-fmpapi
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-dplyr, r-cran-cli
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fmpapi_0.2.1-1.ca2004.1_all.deb
Size: 28340
MD5sum: b7c9eefbe66f299f612aecf592fbeb5a
SHA1: 26650eff38d6253abe92b6497163c8bc4205c112
SHA256: 83aeadfc6a4176bff286d67dff1fb8b1f98aa996cf348e5d66eee468f3079dc2
SHA512: 1f7693a4d03fa490c1a66eae86d2c09420e5d5b168cb1a86c023c91359860d9bb650fd377a2ba36a13f96083e5718d0cc9aa957ceea978e10b34875d403d65a1
Homepage: https://cran.r-project.org/package=fmpapi
Description: CRAN Package 'fmpapi' (Flexible Client for the 'Financial Modeling Prep' API)
 Provides a flexible interface to the 'Financial Modeling Prep' API
 <https://site.financialmodelingprep.com/developer/docs>. The package
 supports all available endpoints and parameters, enabling R users to
 interact with a wide range of financial data.

Package: r-cran-fmpcloudr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fmpcloudr_0.1.5-1.ca2004.1_all.deb
Size: 139108
MD5sum: 1bbe5de3d93bf099eb79a0d86395c891
SHA1: 21a1be28d37dfc0e0a3af766d824da9d37c17329
SHA256: 00c8b456de5915ca90f0d061fbfb97acba8dae8ff0c7c425bf4df55421d01eeb
SHA512: ca4a689863a9baff767fe645e5dfa53a1747f420cb3534a5b0992a23d191c364c5704e4c2998b220d8b7b87aecaca2a7e3c3a1df3db3d869079fde02fe30a70e
Homepage: https://cran.r-project.org/package=fmpcloudr
Description: CRAN Package 'fmpcloudr' (R Access to the 'FMP Cloud' and 'Financial Modeling Prep' API)
 Use R to access to the 'FMP Cloud' API <https://fmpcloud.io/> and 'Financial
 Modeling Prep' API <https://financialmodelingprep.com/developer/docs/>.
 Data available includes stock prices, market indexes, company fundamentals,
 13F holdings data, and much more. A valid API token must be set to enable
 functions.

Package: r-cran-fmradio
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape, r-bioc-biobase, r-cran-expm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fmradio_1.1.1-1.ca2004.1_all.deb
Size: 245372
MD5sum: 32dce1d40297ad6ed94ec34b88560d07
SHA1: 4f29217937e1f09994fe7e05358d9116453ece77
SHA256: 781c7a5e2d3ec0d3fc8b36e6a24d53eac5a87e27b8dff0c76caff334812a081a
SHA512: 3ab7e81fe0475aa72269084067d0db21abce6d71283f57214952c03e0c92e446c1504268a1700165cdd1ad2be6cb5691605d8b1a4fda473855aebd3a047f9958
Homepage: https://cran.r-project.org/package=FMradio
Description: CRAN Package 'FMradio' (Factor Modeling for Radiomics Data)
 Functions that support stable prediction and classification with radiomics
 data through factor-analytic modeling. For details, see Peeters et al.
 (2019) <arXiv:1903.11696>.

Package: r-cran-fmriqa
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1618
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-viridislite, r-cran-rnifti, r-cran-ggplot2, r-cran-reshape2, r-cran-gridextra, r-cran-tidyr, r-cran-optparse, r-cran-rcppeigen, r-cran-imager, r-cran-pracma
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fmriqa_0.3.0-1.ca2004.1_all.deb
Size: 1610360
MD5sum: 1a4bb6fa2154c8564039dccd0b1482e3
SHA1: f615806296480662b0aec67059c42c0343e53aeb
SHA256: 89117e693ef78015f201acac913741aa02a04c5df30e4ca8a74263c26478b6f9
SHA512: f4377b3f87bdf403b142a7c2b5ffd9d2ae9accb73294fc70e7258be97ce824687d48e7c0377597c6c33da08736f429feaf07a33d521f30ab8eecee6e75c774f8
Homepage: https://cran.r-project.org/package=fmriqa
Description: CRAN Package 'fmriqa' (Functional MRI Quality Assurance Routines)
 Methods for performing fMRI quality assurance (QA) measurements of test
 objects. Heavily based on the fBIRN procedures detailed by Friedman and
 Glover (2006) <doi:10.1002/jmri.20583>.

Package: r-cran-fmriscrub
Architecture: all
Version: 0.14.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2471
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-cellwise, r-cran-e1071, r-cran-fmritools, r-cran-pesel, r-cran-robustbase, r-cran-expm, r-cran-gamlss
Suggests: r-cran-corpcor, r-cran-cowplot, r-cran-ciftitools, r-cran-gifti, r-cran-knitr, r-cran-rmarkdown, r-cran-rnifti, r-cran-ggplot2, r-cran-fastica, r-cran-oro.nifti, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fmriscrub_0.14.5-1.ca2004.1_all.deb
Size: 2404884
MD5sum: 0366ced07e7c2c56019b98d975008021
SHA1: b9ca1be3c3a29607ddc03007c1aa120274974574
SHA256: e24db34b85cf7bee48712db7b263450474cd9149f499a493c669fd25fe42e17e
SHA512: 5c972d11ae1ffdf72a07a5f216825e7e074ca9efbaf2447593cba2dea2af8e642ddd9f6e7e55f6101fe815622428c7c985be1af527c0121584debc864eebf94c
Homepage: https://cran.r-project.org/package=fMRIscrub
Description: CRAN Package 'fMRIscrub' (Scrubbing and Other Data Cleaning Routines for fMRI)
 Data-driven fMRI denoising with projection scrubbing (Pham et al (2022)
 <doi:10.1016/j.neuroimage.2023.119972>). Also includes routines for DVARS
 (Derivatives VARianceS) (Afyouni and Nichols (2018)
 <doi:10.1016/j.neuroimage.2017.12.098>), motion scrubbing (Power et al
 (2012) <doi:10.1016/j.neuroimage.2011.10.018>), aCompCor (anatomical
 Components Correction) (Muschelli et al (2014)
 <doi:10.1016/j.neuroimage.2014.03.028>), detrending, and nuisance
 regression. Projection scrubbing is also applicable to other outlier
 detection tasks involving high-dimensional data.

Package: r-cran-fmritools
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-ciftitools, r-cran-corpcor, r-cran-expm, r-cran-gifti, r-cran-knitr, r-cran-rmarkdown, r-cran-robustbase, r-cran-pesel, r-cran-rnifti, r-cran-oro.nifti, r-cran-gsignal, r-cran-testthat, r-cran-covr, r-cran-fda, r-cran-quantreg, r-cran-rcolorbrewer, r-cran-viridis, r-cran-ggcorrplot, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-fmritools_0.6.0-1.ca2004.1_all.deb
Size: 311284
MD5sum: e41fa5dcaef623f8fba4693da3acb1c7
SHA1: 38921763d6f57ea0187f9a1d898386cf2cf9991d
SHA256: 59fd072e272e49ed69d0f73bacd5904b8b8eb2774083516ef04d2c61d109bbd8
SHA512: 890e7fc1d19a233a27d5f4b4b29c0c3b39d25997884637e0f590638a0ea7e4d293f2cb7478b9761b03388e22d718317999b39eb3b6619fe985cc7d095efce1e5
Homepage: https://cran.r-project.org/package=fMRItools
Description: CRAN Package 'fMRItools' (Routines for Common fMRI Processing Tasks)
 Supports fMRI (functional magnetic resonance imaging) analysis tasks
 including reading in 'CIFTI', 'GIFTI' and 'NIFTI' data, temporal filtering,
 nuisance regression, and aCompCor (anatomical Components Correction)
 (Muschelli et al.  (2014) <doi:10.1016/j.neuroimage.2014.03.028>).

Package: r-cran-fmsb
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-epi, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-fmsb_0.7.6-1.ca2004.1_all.deb
Size: 387428
MD5sum: f0f2518000531f32c50a4405e65a3a82
SHA1: fbb9ae4cbf9a44d5d715d3e0c1a09a25b7494f71
SHA256: dd50d520fc4ca41f78aef81a5dc95a62a7fd25c0c97741965447bac0c40013b1
SHA512: 28621fb1578d35ec009809e4531a97ad1e7f37a3551432929a32abd20b0b8f8aa60270665c840f72325377359e4ef9d076f00cabf5db3077698936fa38d67391
Homepage: https://cran.r-project.org/package=fmsb
Description: CRAN Package 'fmsb' (Functions for Medical Statistics Book with some Demographic Data)
 Several utility functions for the book entitled "Practices of Medical and
 Health Data Analysis using R" (Pearson Education Japan, 2007) with Japanese
 demographic data and some demographic analysis related functions.

Package: r-cran-fmsmsnreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-fmsmsnreg_1.0-1.ca2004.1_all.deb
Size: 93700
MD5sum: d1bdefacf0605a8fd7cf98d78598888d
SHA1: 2a1c496e4b4fc2b326ec0a783864887608c20ade
SHA256: 74bdee48cf5805a4598f151fd99380245a503fa5bff797901881c58b2773ea84
SHA512: 66ad9e69aea1edf69b04ef2635416f618d36bbb045e5362152f74f5da64d0414a5bb321c03d41790d70d2879292e700fbf752dc2462f4c5cda778c4c69e23e93
Homepage: https://cran.r-project.org/package=FMsmsnReg
Description: CRAN Package 'FMsmsnReg' (Regression Models with Finite Mixtures of Skew Heavy-TailedErrors)
 Fit linear regression models where the random errors follow a finite mixture
 of of Skew Heavy-Tailed Errors.

Package: r-cran-fmt
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-fmt_2.0-1.ca2004.1_all.deb
Size: 16672
MD5sum: 13aa5a4f15e5ab6326f42361f4cd496e
SHA1: 80405dbbfdcfbc17dec40c17ba189620114e0df2
SHA256: eacc65484f7141301b5fe04b628599ba37fe276434fc6e178faf6d8224f7b20c
SHA512: 94a57c3ca7d622bd513c90afb006fce06d16236c988fc758c8fdc183ff144148df810d260d783af501d06c7bcc23aa41962716ecdbcc6f2274b42e5536a7ed07
Homepage: https://cran.r-project.org/package=fmt
Description: CRAN Package 'fmt' (Variance Estimation of FMT Method (Fully Moderated T-Statistic))
 The FMT method computes posterior residual variances to be used in the
 denominator of a moderated t-statistic from a linear model analysis of gene
 expression data. It is an extension of the moderated t-statistic originally
 proposed by Smyth (2004) <doi:10.2202/1544-6115.1027>.  LOESS local
 regression and empirical Bayesian method are used to estimate gene specific
 prior degrees of freedom and prior variance based on average gene intensity
 levels. The posterior residual variance in the denominator is a weighted
 average of prior and residual variance and the weights are prior degrees of
 freedom and residual variance degrees of freedom. The degrees of freedom of
 the moderated t-statistic is simply the sum of prior and residual variance
 degrees of freedom.

Package: r-cran-fmultivar
Architecture: all
Version: 4031.84-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fbasics, r-cran-cubature, r-cran-mvtnorm, r-cran-sn
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-fmultivar_4031.84-1.ca2004.1_all.deb
Size: 149740
MD5sum: 443b5a4e5d945cb78a954360b99d1682
SHA1: 9ff29a4d3eb6e2560ba955be7e08c0ff2716baf4
SHA256: 9f7625c880fc6f96a3ceae7c8a598dddade7daf0e72aee870d1e2b278ab37f6d
SHA512: 67aa93cbe0f8cc06aec9c249c976e7cee85b8673c6187cb8b218723ad84977c6f0419424c1322d4f45d280b53456211320cde1f71336385bfbb9add65d25b888
Homepage: https://cran.r-project.org/package=fMultivar
Description: CRAN Package 'fMultivar' (Rmetrics - Modeling of Multivariate Financial ReturnDistributions)
 A collection of functions inspired by Venables and Ripley (2002)
 <doi:10.1007/978-0-387-21706-2> and Azzalini and Capitanio (1999)
 <arXiv:0911.2093> to manage, investigate and analyze bivariate and
 multivariate data sets of financial returns.

Package: r-cran-fmx
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-goftest, r-cran-sn, r-cran-vgam, r-cran-param2moment, r-cran-tukeygh77
Suggests: r-cran-fitdistrplus, r-cran-ggplot2, r-cran-mixtools, r-cran-mixsmsn, r-cran-scales
Filename: pool/dists/focal/main/r-cran-fmx_0.1.3-1.ca2004.1_all.deb
Size: 338672
MD5sum: bc01924fa79231ce769023ba9c9dea1b
SHA1: 54efa807bc0925410ab336b67b7ebbc9deecccc3
SHA256: 7eb0ec6d63226102bc4fb36d56b1039b59a7fb6ba81ef2478be243635c2f74cc
SHA512: 01ec82ad71dac2b450d5607178885d8ae86884d831e7553e572a234b365fb3f24fedf99184927edd4beb143d429db7fb172e3da7cc312dbea42b0c42310bc27d
Homepage: https://cran.r-project.org/package=fmx
Description: CRAN Package 'fmx' (Finite Mixture Parametrization)
 A parametrization framework for finite mixture distribution using S4
 objects. Density, cumulative density, quantile and simulation functions are
 defined. Currently normal, Tukey g-&-h, skew-normal and skew-t distributions
 are well tested. The gamma, negative binomial distributions are being
 tested.

Package: r-cran-fnets
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolve, r-cran-doparallel, r-cran-foreach, r-cran-mass, r-cran-fields, r-cran-igraph, r-cran-rcolorbrewer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fnets_0.1.6-1.ca2004.1_all.deb
Size: 618900
MD5sum: 6dffc2d8f5f1498eada05a8682589950
SHA1: 31e01a18ba364bbcc583dd54a79760f895e878d7
SHA256: 0a61ae4afc4c397db369782abdb8454f2b69586df4ab3a574142972ada25e0ce
SHA512: 63ca79243319a9651ff9cbb8a8afb7953bc1ee2fd5e0dea0096d86fd37cfd14ac6629d8fffc13e5a4b4e8fade085f2071cbd0526538235be119ab8063e35d8aa
Homepage: https://cran.r-project.org/package=fnets
Description: CRAN Package 'fnets' (Factor-Adjusted Network Estimation and Forecasting forHigh-Dimensional Time Series)
 Implements methods for network estimation and forecasting of
 high-dimensional time series exhibiting strong serial and cross-sectional
 correlations under a factor-adjusted vector autoregressive model.  See
 Barigozzi, Cho and Owens (2024+) <doi:10.1080/07350015.2023.2257270> for
 further descriptions of FNETS methodology and Owens, Cho and Barigozzi
 (2024+) <arXiv:2301.11675> accompanying the R package.

Package: r-cran-fnr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fnr_1.1.0-1.ca2004.1_all.deb
Size: 43552
MD5sum: 6f69370761b88c32b859ce5e3f3b6af6
SHA1: 9103a4b6ddd4be5be09e466381e911368947a6d0
SHA256: 52ced7bb52de0c02773cdd67286a68e0a16cca29683373f7e7051347ca6f6116
SHA512: 066d590ee64f221dc1196ffe2231b7a89fc1ab5ccee1c16c3887fc98ab41fd7737c687f6ec7ae20b6c72b1a9318784f8eabd30b0eb2fda5b59b55cb44d36a426
Homepage: https://cran.r-project.org/package=FnR
Description: CRAN Package 'FnR' (Inbreeding and Numerator Relationship Coefficients)
 Compute inbreeding coefficients using the method of Meuwissen and Luo (1992)
 <doi:10.1186/1297-9686-24-4-305>, and numerator relationship coefficients
 between individuals using the method of Van Vleck (2007)
 <https://pubmed.ncbi.nlm.nih.gov/18050089/>.

Package: r-cran-foci
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-rann, r-cran-proxy, r-cran-gmp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-foci_0.1.3-1.ca2004.1_all.deb
Size: 46080
MD5sum: 673c54435b19e725ab9b7e2d6c354406
SHA1: 1640191ddeaa688a461e90736d9bf71d96dace09
SHA256: d7c1bdafee809106c0aa1a9237144a53ff467c8f64fc211b4892f48b16d28182
SHA512: bb2978eb2ce91627499763b7357f5ccd3bdb68986adfccdfc092ad37548804c3ab528caacc7ed6890cbd65a1c04cd6b79c2e4d58617bd39c0c1136225c55113c
Homepage: https://cran.r-project.org/package=FOCI
Description: CRAN Package 'FOCI' (Feature Ordering by Conditional Independence)
 Feature Ordering by Conditional Independence (FOCI) is a variable selection
 algorithm based on the measure of conditional dependence.  For more
 information, see the paper: Azadkia and Chatterjee (2019),"A simple measure
 of conditional dependence" <arXiv:1910.12327>.

Package: r-cran-foco2
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-foreco, r-cran-cli, r-cran-quadprog, r-cran-osqp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-foco2_0.1.2-1.ca2004.1_all.deb
Size: 149736
MD5sum: 8c1cdf7b87e4221e4575ca2d64b8e8e1
SHA1: 8a0337a49447b6a87bdfe224cef73e6b4d1e2fd5
SHA256: 082ea280b3ed51718f7a8f9763c19cca36873c2104825de539f878d2e30d9ccb
SHA512: 3b1325fd1943b37ee5e049f7c17148d676b8f75f3fa8664858aac7c4b0a38de14d52fcbbda4c2a944eaa7b5484eb66a19c84e04254f7359f3f2ab58eb8adf064
Homepage: https://cran.r-project.org/package=FoCo2
Description: CRAN Package 'FoCo2' (Coherent Forecast Combination for Linearly Constrained MultipleTime Series)
 Methods and tools designed to improve the forecast accuracy for a linearly
 constrained multiple time series, while fulfilling the linear/aggregation
 relationships linking the components (Girolimetto and Di Fonzo, 2024
 <doi:10.48550/arXiv.2412.03429>).  'FoCo2' offers multi-task forecast
 combination and reconciliation approaches leveraging input from multiple
 forecasting models or experts and ensuring that the resulting forecasts
 satisfy specified linear constraints. In addition, linear inequality
 constraints (e.g., non-negativity of the forecasts) can be imposed, if
 needed.

Package: r-cran-focusedmds
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 894
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-focusedmds_1.3.3-1.ca2004.1_all.deb
Size: 181248
MD5sum: 87910b6ef585f713f7c096f339296756
SHA1: 207c4c43a0324c5a433be932f5e32e8d09dbe8dd
SHA256: de74bd9a3799ba9056ca148cb940503dabd0ad3d5cca21bb66a50e4196b0ee28
SHA512: 758dd7d02b90e2f29a9125c9c61a8dd14c49503fde19b231d7a2b8d37d1c9c9e2e3ea664235b784008aafe5346c058c2d5157a8462d7478e04eef5c01228d43e
Homepage: https://cran.r-project.org/package=focusedMDS
Description: CRAN Package 'focusedMDS' (Focused, Interactive Multidimensional Scaling)
 Takes a distance matrix and plots it as an interactive graph. One point is
 focused at the center of the graph, around which all other points are
 plotted in their exact distances as given in the distance matrix. All other
 non-focus points are plotted as best as possible in relation to one another.
 Double click on any point to choose a new focus point, and hover over points
 to see their ID labels. If color label categories are given, hover over
 colors in the legend to highlight only those points and click on colors to
 highlight multiple groups. For more information on the rationale and
 mathematical background, as well as an interactive introduction, see
 <https://lea-urpa.github.io/focusedMDS.html>.

Package: r-cran-foghorn
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-httr2, r-cran-rlang, r-cran-rvest, r-cran-tibble, r-cran-xml2
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-progress, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-foghorn_1.6.0-1.ca2004.1_all.deb
Size: 137064
MD5sum: 65b05c99d3a8eaa10dbddfd595246241
SHA1: 1268c58619986033304ab50e183a16aab10eebd6
SHA256: 9414a5baade8f6cc01db84380a1d506a83b490fc92bcac46857e77f162c39f7a
SHA512: 4b6fcfa15b532b06994b78612cb8f25c17c0fb20e039da22480d0efef19644d0c627e4183ae9c35c940cd1129c4c4c91ca6c641fff073949e1c4d881687aa335
Homepage: https://cran.r-project.org/package=foghorn
Description: CRAN Package 'foghorn' (Summarize CRAN Check Results in the Terminal)
 The CRAN check results and where your package stands in the CRAN submission
 queue in your R terminal.

Package: r-cran-folderfun
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-folderfun_0.1.4-1.ca2004.1_all.deb
Size: 216976
MD5sum: 142c4e115c8e679163694d1f291a5813
SHA1: d1507d856a859d08f0e507955c6dcde75b739a0d
SHA256: b3cac872d3d5c9763c8288a4a8c1584a53e712c0e568c7682ba77ddd2635a74e
SHA512: e2db949dab862dbb16f1fc3c7c69b49ea204607b71abfd3d8ed27d6218bf5101cadb1cf40d3f7700d3fa7d77e737904b7d2359a04255262dd45c2f57ffba1c82
Homepage: https://cran.r-project.org/package=folderfun
Description: CRAN Package 'folderfun' (Creates and Manages Folder Functions for Portable Large-Scale RAnalysis)
 If you find yourself working on multiple different projects in R, you'll
 want a series of folders pointing to raw data, processed data, plot results,
 intermediate table outputs, etc. This package makes it easier to do that by
 providing a quick and easy way to create and use functions for project-level
 directories.

Package: r-cran-folders
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-config, r-cran-here, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-folders_0.1.0-1.ca2004.1_all.deb
Size: 16764
MD5sum: e202c4b2ab583f82315d542532bfbd4f
SHA1: f07fb952154e3aa1fc421973457d3297e2a56f19
SHA256: ace4570eab0b72ae304f3c374485368bdc8f40e6c378ab35871de345e67c5a92
SHA512: 410f09983eb884792679516ef1d95d99dbe5adef936ca05be58ec2150887d37444e0a5663f257dc82ae729d35e64f42ab6efbb7838f0d105bd5369196e94d786
Homepage: https://cran.r-project.org/package=folders
Description: CRAN Package 'folders' (Standardized Folder Names)
 Supports the use of standardized folder names.

Package: r-cran-folio
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 640
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-folio_1.5.1-1.ca2004.1_all.deb
Size: 556304
MD5sum: f5a069855dcaf36cd2cd61447b9c56d5
SHA1: 3c81f752f8d91443c915d8799797c13ff659eb3e
SHA256: 7318a22a65cf574bc8cdb338e64dc2c3b03006818e2b2e4a54eea2580a96c1af
SHA512: e5fff4ddb032eff078dae699f412303f0d39038850ac55bd343e14ce1be9142b77f2015ddf1542f37eabcef3d39e93e7ca145887b68dabecdeaa825a3597ec5e
Homepage: https://cran.r-project.org/package=folio
Description: CRAN Package 'folio' (Datasets for Teaching Archaeology and Paleontology)
 Datasets for teaching quantitative approaches and modeling in archaeology
 and paleontology. This package provides several types of data related to
 broad topics (cultural evolution, radiocarbon dating, paleoenvironments,
 etc.), which can be used to illustrate statistical methods in the classroom
 (multivariate data analysis, compositional data analysis, diversity
 measurement, etc.).

Package: r-cran-fomantic.plus
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shiny.semantic, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fomantic.plus_0.1.0-1.ca2004.1_all.deb
Size: 396580
MD5sum: 5b50b0a722177fa8ff49386238533f94
SHA1: 4bef879cbe0c00259146da440cae0758ad8e3894
SHA256: f331bd4cb39522fe4f43bd784b04bcf7b57fe05c2bbe639403d11f54b29f8fd3
SHA512: 00b156b1fd2b0ef221c405eb744f3df4763ae646aa6afc1bec6ecf256076a00ad5f679f601d4f1ee2b10805558556f85ebff46f000d9e37b20b09d40e4f51c6e
Homepage: https://cran.r-project.org/package=fomantic.plus
Description: CRAN Package 'fomantic.plus' (Add Extra 'Fomantic UI' Components to 'shiny.semantic')
 Extend 'shiny.semantic' with extra 'Fomantic UI' components.  Create pages
 in a format similar to 'shiny', form validation and more.

Package: r-cran-fontawesome
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2099
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-htmltools
Suggests: r-cran-covr, r-cran-dplyr, r-cran-gt, r-cran-knitr, r-cran-testthat, r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-fontawesome_0.5.3-1.ca2004.1_all.deb
Size: 1313888
MD5sum: 0d16838cc9382003c8b0d76c6bd3fc47
SHA1: 7c0a10472d543087e4c35a3e258e727cca628ea0
SHA256: b94f27bb02335e91998c00c7bc0341fb9ea4e0f870fc42c93a3064aed974ccfe
SHA512: 3a3da562d1e15cf71885bb2d3a07d201d7e2fb67b47f83077c7036b87749e6e0e8760247a15037a43d892a2e625717f296f9a46136eaed6d80cac2e3e64329b5
Homepage: https://cran.r-project.org/package=fontawesome
Description: CRAN Package 'fontawesome' (Easily Work with 'Font Awesome' Icons)
 Easily and flexibly insert 'Font Awesome' icons into 'R Markdown' documents
 and 'Shiny' apps. These icons can be inserted into HTML content through
 inline 'SVG' tags or 'i' tags. There is also a utility function for
 exporting 'Font Awesome' icons as 'PNG' images for those situations where
 raster graphics are needed.

Package: r-cran-fontbitstreamvera
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 958
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fontbitstreamvera_0.1.1-1.ca2004.1_all.deb
Size: 539656
MD5sum: 28e91288521e3929dc99db222131603b
SHA1: 27f2483df61daed6dd1c09f568bd4b7832cd0b86
SHA256: 24499b7ad8591d1dcb7ef5a534caa44920dead93f95c6ba53e51eb2b5a6a650c
SHA512: 55c39f51ec5330b9b63702024f4551a1851b1d0a79c00c49049a61dd62d6d3586e277fa904ae6f7127c91fb3d93d09a50f093c0a3b94417bb9918e401c917160
Homepage: https://cran.r-project.org/package=fontBitstreamVera
Description: CRAN Package 'fontBitstreamVera' (Fonts with 'Bitstream Vera Fonts' License)
 Provides fonts licensed under the 'Bitstream Vera Fonts' license for the
 'fontquiver' package.

Package: r-cran-fontcm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6598
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-fontcm_1.1-1.ca2004.1_all.deb
Size: 4680132
MD5sum: 3a6736d3174892bc316eea40e2991039
SHA1: cfed092064534598345c2c92f70a289a997030cf
SHA256: cf4cdb277dcb8a9a2ee68897352f74adce519c762b1ac9c5909445575bd71e67
SHA512: b5184d5c1c545e959a8a2df0ac76b3bbbc8cf59e2b1335841695ad22b716c32685241a271fadb5abc880e9fc13c5ecafab38968b026b1b7106a126e1f271916e
Homepage: https://cran.r-project.org/package=fontcm
Description: CRAN Package 'fontcm' (Computer Modern font for use with extrafont package)
 Computer Modern font for use with extrafont package

Package: r-cran-fonthind
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1514
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hrbrthemes, r-cran-extrafont, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fonthind_0.1.1-1.ca2004.1_all.deb
Size: 427828
MD5sum: 997b70056c60e6630693569dfea69147
SHA1: e00748e2fa26b886969a73ca8bc34aabed7e273a
SHA256: 6b9a1c19d3caed3fdbf63fb14e6923e912138c31d5ddee81035facef88e55cf2
SHA512: 74eca1417364fa330beddc04783db0913ddfa013f264e0d78b7aa98663b1f1714cb35fdade68bc8ecce8f23c968c4ada466d3a058db06dfc8fb0e636023d3a52
Homepage: https://cran.r-project.org/package=fontHind
Description: CRAN Package 'fontHind' (Additional 'ggplot2' Themes Using 'Hind' Fonts)
 Provides 'ggplot2' themes based on the 'Hind' fonts.  'Hind' is an open
 source 'typeface' supporting the 'Devanagari' and Latin scripts.  Developed
 explicitly for use in User Interface design, the 'Hind' font family includes
 five styles.  More information about the font can be found at
 <https://fonts.google.com/specimen/Hind>.

Package: r-cran-fontliberation
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6245
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fontliberation_0.1.0-1.ca2004.1_all.deb
Size: 3624624
MD5sum: 783950c2a13c1fd8c8a6135e3ca1ff6c
SHA1: 2aac116af3ed5abd6e76158c8de7b786275d8cab
SHA256: 434212961c273d494b4d24d0bffa77eff707b58cc8ccc19a3ac9c48d802b2ef5
SHA512: d7919b36e38b362cd08c2dfea9280a7f671ad1f07d341c08a7a48a01f8ccee566402665ea0a815cde0e057f3a3bc6f61248c52d297cc7f9373e42c9980597376
Homepage: https://cran.r-project.org/package=fontLiberation
Description: CRAN Package 'fontLiberation' (Liberation Fonts)
 A placeholder for the Liberation fontset intended for the `fontquiver`
 package. This fontset covers the 12 combinations of families (sans, serif,
 mono) and faces (plain, bold, italic, bold italic) supported in R graphics
 devices.

Package: r-cran-fontmplus
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hrbrthemes, r-cran-extrafont, r-cran-ggplot2
Suggests: r-cran-stringr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fontmplus_0.1.1-1.ca2004.1_all.deb
Size: 560776
MD5sum: c3ad179b9bd800a86fed19cceb3fa14d
SHA1: 34673b09f4cb94ae98ba48bd5709909b57ea6712
SHA256: 4243a4ca3c70822220ce6831a2133f7b51c91be1365ae1163611a0d1822d5ae5
SHA512: d9e85db3188f021cf2e574e41d3a57eee68750b3d674b0ba73b2524ee10e44f8b3abedca11f7cf4eda55064538b26df60bd940be35f452b24b8e3165647f6a88
Homepage: https://cran.r-project.org/package=fontMPlus
Description: CRAN Package 'fontMPlus' (Additional 'ggplot2' Themes Using 'M+' Fonts)
 Provides 'ggplot2' themes based on the 'M+' fonts.  The 'M+' fonts are a
 font family under a free license. The font family provides multilingual
 glyphs. The fonts provide 'Kana', over 5,000 'Kanji', Basic Latin, Latin-1
 Supplement, Latin Extended-A, and 'IPA' Extensions glyphs. Most of the
 Greek, Cyrillic, Vietnamese, and extended glyphs and symbols are included
 too.  So the fonts are in conformity with ISO-8859-1, 2, 3, 4, 5, 7, 9, 10,
 13, 14, 15, 16, Windows-1252, T1, and VISCII encoding.  More information
 about the fonts can be found at <http://mplus-fonts.osdn.jp/about-en.html>.

Package: r-cran-fontquiver
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fontbitstreamvera, r-cran-fontliberation
Suggests: r-cran-testthat, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-fontquiver_0.2.1-1.ca2004.1_all.deb
Size: 2129232
MD5sum: e9bb73cc2da68989f1870c852a7657f5
SHA1: 2d3966baaa1c5806e5df5d676efa3ccee55b2e0a
SHA256: 2e43f10504414f5683089f7a15aa746e8e62f2c58af299f9d699b8597781b7f7
SHA512: f35871203354076bf25dd2853f7d8a5c80e995995227081386a4ff03c4299dfd4ccc5b0e86e63d318cc2ef075b8d57e9d40fb2f4e050091b7b120f9df7a053fa
Homepage: https://cran.r-project.org/package=fontquiver
Description: CRAN Package 'fontquiver' (Set of Installed Fonts)
 Provides a set of fonts with permissive licences. This is useful when you
 want to avoid system fonts to make sure your outputs are reproducible.

Package: r-cran-foodingraph
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-cowplot, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-igraph, r-cran-ggraph, r-cran-minerva, r-cran-rlang, r-cran-labeling
Suggests: r-cran-knitr, r-cran-infotheo, r-bioc-minet
Filename: pool/dists/focal/main/r-cran-foodingraph_0.1.0-1.ca2004.1_all.deb
Size: 641172
MD5sum: b5bb49f3a3ad17e13b69d944365bcc21
SHA1: e848c81e3b4f37bf6eb9998cac9e40753f28add3
SHA256: 8e07901125f82c47e5e08dfb1e79c002fb962da2539d19483be835da8bba30ac
SHA512: 7fbe7a21024659e2c50b1d759651463130374bd775a046123223d478a8ea0b4e3bf7e4e4fa9dd0a43cc16edbcce9f1b6a178a4f62370d4eb57952bc07ad86dc9
Homepage: https://cran.r-project.org/package=foodingraph
Description: CRAN Package 'foodingraph' (Food Network Inference and Visualization)
 Displays a weighted undirected food graph from an adjacency matrix.  Can
 perform confidence-interval bootstrap inference with mutual information or
 maximal information coefficient.  Based on my Master 1 internship at the
 Bordeaux Population Health center.  References : Reshef et al. (2011)
 <doi:10.1126/science.1205438>, Meyer et al. (2008)
 <doi:10.1186/1471-2105-9-461>, Liu et al. (2016)
 <doi:10.1371/journal.pone.0158247>.

Package: r-cran-foodquotient
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-foodquotient_0.1.1-1.ca2004.1_all.deb
Size: 64328
MD5sum: 5da1a169fa319802f1a42298ba647c5a
SHA1: 3f6eb27d811c5b206d9ae74a3b18b842cd1e2785
SHA256: 7df1eae36251efaefd84038c69c56db3d7e0e532cf7b84ff1a4b5827dc56ff6f
SHA512: 2dee33df03fa0e22b44f6615e99fe267ed5d6f105b305700fba53b25bc3454189036f48a4171c415f2fac1109230aa9b70d5d56a6d811578ed847785ff18606a
Homepage: https://cran.r-project.org/package=foodquotient
Description: CRAN Package 'foodquotient' (Food Quotient and Nutrient Analysis for HSFFQ)
 Aids in analysing data from a food frequency questionnaire known as the
 Harvard Service Food Frequency Questionnaire (HSFFQ).  Functions from this
 package use answers from the HSFFQ to generate estimates of daily consumed
 micronutrients, calories, macronutrients on an individual level.  The
 package also calculates food quotients on individual and group levels.
 Foodquotient calculation is an often tedious step in the calculation of
 total human energy expenditure (TEE) using the doubly labeled water method,
 which is the gold standard for measuring TEE.

Package: r-cran-foodweb
Architecture: all
Version: 1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-foodweb_1-0-1.ca2004.1_all.deb
Size: 392768
MD5sum: 8b07eb0555db82f216cea5eb9abe96ed
SHA1: 964074d83be2a56f41d5264e03cd7a1296b5bc47
SHA256: e60f0e7473c1f60a2642533220c8ca584c05a7a4fb0e6385e627d23dbc3699a1
SHA512: 3397265dcd9c13a7293ac1543149078db621bb91fea96c63f48b50cb0db647010ec5cc66ffd2ab7157f5f7fa51d8158a5a145a72aae9b311b76139b2fe6dc6c7
Homepage: https://cran.r-project.org/package=foodweb
Description: CRAN Package 'foodweb' (visualisation and analysis of food web networks)
 Calculates twelve commonly-used, basic measures of food web network
 structure from binary, predator-prey matrices: species richness,
 connectance, total number of links, link density, number of trophic
 positions, predator:prey ratio, and fraction of carnivores, herbivores, top
 species and intermediate species.  Employs food web language in the code and
 output, translates between a couple of common food web formats, can handle
 food webs consisting of multiple levels, and can automate the analysis for a
 large number of webs. The program produces 3-dimensional graphs of high
 quality that can be customized by the user.

Package: r-cran-foodwebwrapper
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 729
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvbutils, r-cran-tibble, r-cran-dplyr, r-cran-r2html, r-cran-textshaping, r-cran-magrittr, r-cran-tidyverse, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-foodwebwrapper_1.1.0-1.ca2004.1_all.deb
Size: 461708
MD5sum: 213052cb6518dc731b5b0d4e3d55c61b
SHA1: 3c0c0f3013880e7ad78aba524f6b3b17579776ae
SHA256: f5e876dc4dc711cf1b52fe32f4bd706cd9d8ab1c9f18b2a7b86f57a8833835d2
SHA512: 3a1d001d946e00fd1b61119b2273c6b355b3647758a174124a6072b84249eaec16fda72ce351d258faf56b45772f2c9491002082b37e7470d5f46d3989c36317
Homepage: https://cran.r-project.org/package=foodwebWrapper
Description: CRAN Package 'foodwebWrapper' (Enhanced Wrapper to Show Which Functions Call What)
 Enhances the functionality of the mvbutils::foodweb() program. The
 matrix-format output of the original program contains identical row names
 and column names, each name representing a retrieved function. This format
 is enhanced by using the find_funs() program [see Sebastian (2017)
 <https://sebastiansauer.github.io/finds_funs/>] to concatenate the package
 name to the function name. Each package is assigned a unique color, that is
 used to color code the text naming the packages and the functions. This
 color coding is extended to the entries of value "1" within the matrix,
 indicating the pattern of ancestor and descendent functions.

Package: r-cran-foolbox
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-foolbox_0.1.1-1.ca2004.1_all.deb
Size: 140732
MD5sum: edc6260eef0822d6bee4fb3995f9358b
SHA1: 7242dde2ca2f87273646750f73775fec17d1542b
SHA256: d4958b3918d28e353b95354bb3ae733b12446f54e2c6a7415b8ff5206805c35a
SHA512: e011091b061d8f31f8c87693a11228517741181dc062b947360ed2e3a06ce026f23eda6a1b646bf2ed472774ca8020c1f037a5c9070e0f8b3a58384cdf7c503f
Homepage: https://cran.r-project.org/package=foolbox
Description: CRAN Package 'foolbox' (Function Manipulation Toolbox)
 Provides functionality for manipulating functions and translating them in
 metaprogramming.

Package: r-cran-footballpenaltiesbl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-footballpenaltiesbl_1.0.0-1.ca2004.1_all.deb
Size: 102904
MD5sum: 90454211c49d455998b5d0d0007f3a66
SHA1: 82ae8b9844fbccf2871f43d264459eb83356ade1
SHA256: 97b50bc8af5fc786e62abeaa0898d1ba47773180952ffd2256be6f3e650d9d47
SHA512: b01cc27c126aefbdae5cb4284a7e8c35d6087e1af4275403708101e28117a2d2a270f4a87c0d76cb309ea614ef12002bd849d3380710047e084253b24a6b74a7
Homepage: https://cran.r-project.org/package=footballpenaltiesBL
Description: CRAN Package 'footballpenaltiesBL' (Penalties in the German Men's Football Bundesliga)
 Basic analysis of all penalties taken in the German men's Bundesliga between
 the start of its inaugural season and May 2017. The main functions are
 suitable printing and plotting functions. Flexible selection of a player is
 supported via grep. Missed penalties can easily be included or excluded,
 depending on the user's wishes.

Package: r-cran-footbayes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstan, r-cran-arm, r-cran-reshape2, r-cran-ggplot2, r-cran-ggridges, r-cran-bayesplot, r-cran-matrixstats, r-cran-extradistr, r-cran-metrology, r-cran-dplyr, r-cran-tidyr, r-cran-numderiv, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-loo
Filename: pool/dists/focal/main/r-cran-footbayes_1.0.0-1.ca2004.1_all.deb
Size: 2118400
MD5sum: e5864e9f7653e70e400398af78244c0a
SHA1: c485c1ae6c651421612b771c41abdad7353a7913
SHA256: 2a6343b6ff1be73d2e525d30bca4fb2656d52a1df3c0e2ef6aa6f1cffb15fbcf
SHA512: 3994a1f887f12aeae2c666cd26f8ff4afd25be965868025eb0a7b3a1df74c4701786938663d077e767788ea58ef95560511989a2295c793c84602c16524d3b92
Homepage: https://cran.r-project.org/package=footBayes
Description: CRAN Package 'footBayes' (Fitting Bayesian and MLE Football Models)
 This is the first package allowing for the estimation, visualization and
 prediction of the most well-known football models: double Poisson, bivariate
 Poisson, Skellam, student_t, diagonal-inflated bivariate Poisson, and
 zero-inflated Skellam. The package allows Hamiltonian Monte Carlo (HMC)
 estimation through the underlying Stan environment and Maximum Likelihood
 estimation (MLE, for 'static' models only). The model construction relies on
 the most well-known football references, such as Dixon and Coles (1997)
 <doi:10.1111/1467-9876.00065>, Karlis and Ntzoufras (2003)
 <doi:10.1111/1467-9884.00366> and Egidi, Pauli and Torelli (2018)
 <doi:10.1177/1471082X18798414>.

Package: r-cran-footprint
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-airportr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-footprint_0.2-1.ca2004.1_all.deb
Size: 59460
MD5sum: ace860f348007d37b3f2a97d81fd963f
SHA1: 3f5a028d64ee75d0f5c1a3aa9c6ad828c9c05366
SHA256: 63df94a9f52c293626a6250587a00cac256f2a21b38c47c76b59fdb7268a4f04
SHA512: 39ce8d92b4c1eb25c1a19ebd30ffb193253b7f2b868de52efe451aad2c4575fdd487761e43e07eabe3bf24f6ba65d9faea256590aec32f5a9de6e67508c05905
Homepage: https://cran.r-project.org/package=footprint
Description: CRAN Package 'footprint' (Calculate Air Travel Emissions)
 A handy tool to calculate carbon footprints from air travel based on
 three-letter International Air Transport Association (IATA) airport codes or
 latitude and longitude.  footprint first calculates the great-circle
 distance between departure and arrival destinations. It then uses the
 Department of Environment, Food & Rural Affairs (DEFRA) greenhouse gas
 conversion factors for business air travel to estimate the carbon footprint.
 These conversion factors consider trip length, flight class (e.g. economy,
 business), and emissions metric (e.g. carbon dioxide equivalent, methane).

Package: r-cran-foqat
Architecture: all
Version: 2.0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3020
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-magrittr, r-cran-dplyr, r-cran-plyr, r-cran-stringr, r-cran-lmodel2, r-cran-reshape2, r-cran-ggplot2, r-cran-ggplotify, r-cran-gridextra, r-cran-scales, r-cran-rvest, r-cran-xml2, r-cran-ggnewscale, r-cran-patchwork
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-foqat_2.0.8.2-1.ca2004.1_all.deb
Size: 1671220
MD5sum: c709fc82742bd164162a19c2e2d41f4c
SHA1: d72df6c3a11902e2133d6dbefd9a03eb064dfccf
SHA256: 7add0259625a99b44cde680f5628dbce02066664e12496df2f69e4b4a6761cc0
SHA512: bca3f6dbeed382b051f59c4dbc224ecea0bdff9ebf93d8b29f6830626eefa8a0e3bddf1528018f63c0349f7cc7c2acc147067b345e0cce7a146ac5e8f5b0967e
Homepage: https://cran.r-project.org/package=foqat
Description: CRAN Package 'foqat' (Field Observation Quick Analysis Toolkit)
 Tools for quickly processing and analyzing field observation data and air
 quality data. This tools contain functions that facilitate analysis in
 atmospheric chemistry (especially in ozone pollution). Some functions of
 time series are also applicable to other fields. For detail please view
 homepage<https://github.com/tianshu129/foqat>.  Scientific Reference: 1. The
 Hydroxyl Radical (OH) Reactivity: Roger Atkinson and Janet Arey (2003)
 <doi:10.1021/cr0206420>.  2. Ozone Formation Potential (OFP):
 <http://ww2.arb.ca.gov/sites/default/files/barcu/regact/2009/mir2009/mir10.pdf>,
 Zhang et al.(2021) <doi:10.5194/acp-21-11053-2021>.  3. Aerosol Formation
 Potential (AFP): Wenjing Wu et al. (2016) <doi:10.1016/j.jes.2016.03.025>.
 4. TUV model:
 <https://www2.acom.ucar.edu/modeling/tropospheric-ultraviolet-and-visible-tuv-radiation-model>.

Package: r-cran-foragingorg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pairviz, r-cran-tsp
Filename: pool/dists/focal/main/r-cran-foragingorg_0.1.0-1.ca2004.1_all.deb
Size: 25000
MD5sum: f5d34337b9c2e76eabc96c604e550cb0
SHA1: abd7bda11027c1c27bbf609d74b0c8a7d5d2ac0a
SHA256: b24250f9cf8ec3e136a774c2538248eb48f416988a8123b936d05c4df6d86182
SHA512: 6913a63ec903e9288f6ba4a95e420db061d14039b658233ad6e5a0ae2f5da9f26ea993ac76df22c630dc4e79d1d023f253d242f930c890ccb305751bc7b44eff
Homepage: https://cran.r-project.org/package=ForagingOrg
Description: CRAN Package 'ForagingOrg' (Organization Measures for Visual Foraging)
 Several functions to compute indicators for organization and efficiency in
 visual foraging, multi-target visual search, and cancellation tasks. The
 current version of this package includes the following indicators: best-r,
 mean Inter-target Distance, Percentage Above Optimal (PAO) scan path, and
 intersections in the scan path. For more detailed descriptions, see Mark et
 al. (2004) <doi:10.1212/01.WNL.0000131947.08670.D4>.

Package: r-cran-forams
Architecture: all
Version: 2.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-forams_2.0-6-1.ca2004.1_all.deb
Size: 69056
MD5sum: 37a2f6962f536d9742dcaf65c529585a
SHA1: 2c261a7795dec22afcb9dc109533abd774d59b80
SHA256: c0e37829ef11bbc023381657d78dc997bd6089182f9393c5d22cab17a83e7e64
SHA512: bb2242649e50b049b8add34699b82c67d190d109c8d5afd7af8a84a542a5f1c03df86870928926786fca648abd43dc6ea000edd4b6149d7983f46a13297cd17f
Homepage: https://cran.r-project.org/package=forams
Description: CRAN Package 'forams' (Foraminifera and Community Ecology Analyses)
 SHE, FORAM Index and ABC Method analyses and custom plot functions for
 community data.

Package: r-cran-forcats
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-forcats_1.0.0-1.ca2004.1_all.deb
Size: 411772
MD5sum: 2ef1d676f4db6dc52674462f9203de4a
SHA1: 77587fe4f4675cf3be6106d364925a2842074550
SHA256: 977b11ec786dc6fa373b2a0efad58cad4466808e33d41a79b63dbf92e561b1a9
SHA512: e9fdd916ff1d18808a8427f4407dfd4c40ec69f036ecb1e64fd7a6cf942c6709944664b76a4dc4aa808bf078b61e45c410205b8c1a7061c6dcbf4414b6a0110a
Homepage: https://cran.r-project.org/package=forcats
Description: CRAN Package 'forcats' (Tools for Working with Categorical Variables (Factors))
 Helpers for reordering factor levels (including moving specified levels to
 front, ordering by first appearance, reversing, and randomly shuffling), and
 tools for modifying factor levels (including collapsing rare levels into
 other, 'anonymising', and manually 'recoding').

Package: r-cran-forceplate
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-signal, r-cran-stringi
Suggests: r-cran-curl
Filename: pool/dists/focal/main/r-cran-forceplate_1.1-4-1.ca2004.1_all.deb
Size: 103632
MD5sum: f5e712ef176ef1c10f2413a0fc4ae339
SHA1: 0b9547ea6840a592cb55e1c40a0f5170f09a2dd1
SHA256: 7fe83ac74f888edbbb6beae7900b064be997af8b46c1e6b000ca0937c783f56b
SHA512: 94fcb013f557bb9fca5aceaf5db490f7d45bf2f53f1eaff990cc45e913f216d7bfe0ec77202d6619d3ffca86135021fa3a4db249c152ba55f5273c45f686b5c7
Homepage: https://cran.r-project.org/package=forceplate
Description: CRAN Package 'forceplate' (Processing Force-Plate Data)
 Process raw force-plate data (txt-files) by segmenting them into trials and,
 if needed, calculating (user-defined) descriptive statistics of variables
 for user-defined time bins (relative to trigger onsets) for each trial. When
 segmenting the data a baseline correction, a filter, and a data imputation
 can be applied if needed. Experimental data can also be processed and
 combined with the segmented force-plate data. This procedure is suggested by
 Johannsen et al. (2023) <doi:10.6084/m9.figshare.22190155> and some of the
 options (e.g., choice of low-pass filter) are also suggested by Winter
 (2009) <doi:10.1002/9780470549148>.

Package: r-cran-forcer
Architecture: all
Version: 1.0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2891
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-filesstrings, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-roll, r-cran-stringr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forcer_1.0.20-1.ca2004.1_all.deb
Size: 1128752
MD5sum: 91edbd8d60bfde8cba3c87bc4e5106a0
SHA1: 97104547b7744841430073f5541ba9b9f3061737
SHA256: 70df58165269cdeb5a65f1e45e767b9788f85d485d541c39ee5481593307c2d0
SHA512: 3599419812681d70426e7d354a20c026db10b3dde3b1c1dd950910fcfe3422370172880b91b6d88e4ce72af8124fec9010d163f2abf0d2348646d90d6a266025
Homepage: https://cran.r-project.org/package=forceR
Description: CRAN Package 'forceR' (Force Measurement Analyses)
 For cleaning and analysis of graphs, such as animal closing force
 measurements.  'forceR' was initially written and optimized to deal with
 insect bite force measurements, but can be used for any time series.
 Includes a full workflow to load, plot and crop data, correct amplifier and
 baseline drifts, identify individual peak shapes (bites), rescale
 (normalize) peak curves, and find best polynomial fits to describe and
 analyze force curve shapes.

Package: r-cran-forcis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4323
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-httr2, r-cran-rlang, r-cran-sf, r-cran-tibble, r-cran-tidyr, r-cran-vroom
Suggests: r-cran-fs, r-cran-dplyr, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-forcis_1.0.1-1.ca2004.1_all.deb
Size: 2932264
MD5sum: 5e8804b623a0f0ad6bb9001c6e3a155b
SHA1: 8e1fea2f3637f6a9cd67316732f5e9d893a6b416
SHA256: 63ed269fa38e9ba257df0a7cf0840e3ab87beba360f2bf4d95c397b0eb1872d7
SHA512: d1562926d4a374cfbb7949b54e8028c3d78fb8e1402dac2d0ebc3077c369187e53213d31c99819ae32b2739afbbc7213d05788a622b4128e738c11887cb7ce36
Homepage: https://cran.r-project.org/package=forcis
Description: CRAN Package 'forcis' (Handle the FORCIS Foraminifera Database)
 Provides an interface to the 'FORCIS' database (Chaabane et al. (2024)
 <doi:10.5281/zenodo.7390791>) on global foraminifera distribution. This
 package allows to download and to handle 'FORCIS' data.  It is part of the
 FRB-CESAB working group FORCIS.
 <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/forcis/>.

Package: r-cran-ford
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-rann
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-xfun, r-cran-testthat, r-cran-minerva, r-cran-devtools, r-cran-foci, r-cran-xicor, r-cran-kpc, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ford_0.1.2-1.ca2004.1_all.deb
Size: 102948
MD5sum: 2234af30995282be01838fc27cc9b3d5
SHA1: e5a4457e61371c5e3c13e35e0e878fae07893a71
SHA256: c2b131ded38ef9244f41e9d6f3795fd1755911c29ceac4c26da1db12901cd243
SHA512: c7ad281c2c3d6e181b67f4e6b4cf62ddae6693416944dd159c5c4e80853f62a7ec52967e81d4e5dd76bb36b7584f9ec851dcfb709fb6a750309757fb3fd32b25
Homepage: https://cran.r-project.org/package=FORD
Description: CRAN Package 'FORD' (Feature Ordering by Integrated R Square Dependence)
 Feature Ordering by Integrated R square Dependence (FORD) is a variable
 selection algorithm based on the new measure of dependence: Integrated R2
 Dependence Coefficient (IRDC). For more information, see the paper: Azadkia
 and Roudaki (2025),"A New Measure Of Dependence: Integrated R2"
 <doi:10.48550/arXiv.2505.18146>.

Package: r-cran-foreach
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-codetools, r-cran-iterators
Suggests: r-cran-randomforest, r-cran-domc, r-cran-doparallel, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-foreach_1.5.2-1.ca2004.1_all.deb
Size: 120236
MD5sum: 1b4b0ebab1053ff2ffdae021cc1e5c2c
SHA1: 60bd6f1b210faeb473a794bd9b2ef0c21f0a325b
SHA256: 8aba99746a2cc8b144f5c6f9e608dafb7e5367e76e78450f59194d70048efeda
SHA512: c44aef91bc01b0b8145142241bb753c1f9979af2889ee06c968abf48b6e3b14b99b7feaf8949f594cef7532b471cf0803c80f0eb8e5bb0239550e4133048c26c
Homepage: https://cran.r-project.org/package=foreach
Description: CRAN Package 'foreach' (Provides Foreach Looping Construct)
 Support for the foreach looping construct.  Foreach is an idiom that allows
 for iterating over elements in a collection, without the use of an explicit
 loop counter.  This package in particular is intended to be used for its
 return value, rather than for its side effects.  In that sense, it is
 similar to the standard lapply function, but doesn't require the evaluation
 of a function.  Using foreach without side effects also facilitates
 executing the loop in parallel.

Package: r-cran-foreca
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-astsa, r-cran-mass, r-cran-reshape2
Suggests: r-cran-psd, r-cran-fbasics, r-cran-knitr, r-cran-markdown, r-cran-mgcv, r-cran-nlme, r-cran-testthat, r-cran-rsfa
Filename: pool/dists/focal/main/r-cran-foreca_0.2.7-1.ca2004.1_all.deb
Size: 441760
MD5sum: 34eb6c4b036498d22536fc648d3c4c2b
SHA1: 52e97e8fe9172334fb30e6b6905016c1803cbea2
SHA256: f52b60c97ff66d392bc9b2b44dad47f6102cd1c2ae83784d49bfb5c4578e0bde
SHA512: b6f4c095583b89d17548b0964ae0abfb78957b8f0e2972f2f730e80b66c4d41936dc3df2d25e2e658987607752e767b4a3c2093a809e8f8a7d2c41779a8811f1
Homepage: https://cran.r-project.org/package=ForeCA
Description: CRAN Package 'ForeCA' (Forecastable Component Analysis)
 Implementation of Forecastable Component Analysis ('ForeCA'), including main
 algorithms and auxiliary function (summary, plotting, etc.) to apply
 'ForeCA' to multivariate time series data. 'ForeCA' is a novel dimension
 reduction (DR) technique for temporally dependent signals. Contrary to other
 popular DR methods, such as 'PCA' or 'ICA', 'ForeCA' takes time dependency
 explicitly into account and searches for the most ''forecastable'' signal.
 The measure of forecastability is based on the Shannon entropy of the
 spectral density of the transformed signal.

Package: r-cran-forecastcomb
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-ggplot2, r-cran-matrix, r-cran-mtsdi, r-cran-psych, r-cran-quadprog, r-cran-quantreg
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forecastcomb_1.3.1-1.ca2004.1_all.deb
Size: 205848
MD5sum: 1489c4e16aefce2f98801daa853ab993
SHA1: 6c345530d8a263d903062877ccbabb707d7a1571
SHA256: 8c7f454018b0ebdcb732dbd8876c89123726a99d395562c2b01bc4abf2ab07b0
SHA512: 9cf474c7ae8f622fd09f22f5f83a29b9a6fd8e26f6d2775581bc3c2f690fb49c04aea704234eb3b343c9a65d81af4cd382c74d21377aa187d96de8e26ee90e79
Homepage: https://cran.r-project.org/package=ForecastComb
Description: CRAN Package 'ForecastComb' (Forecast Combination Methods)
 Provides geometric- and regression-based forecast combination methods under
 a unified user interface for the packages 'ForecastCombinations' and
 'GeomComb'. Additionally, updated tools and convenience functions for data
 pre-processing are available in order to deal with common problems in
 forecast combination (missingness, collinearity). For method details see
 Hsiao C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE
 (2007). <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A,
 Timmermann A (2013). <doi:10.1016/j.jeconom.2013.04.017>, and Clemen RT
 (1989). <doi:10.1016/0169-2070(89)90012-5>.

Package: r-cran-forecastcombinations
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-quadprog
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-forecastcombinations_1.1-1.ca2004.1_all.deb
Size: 28008
MD5sum: eb7266996a92991572404e9670903208
SHA1: 8e04e638246b12e816b999498a06c8ece7cac68f
SHA256: c6d5945667ac5aa78a62e31cb6ff037f0c075c096cc67bbb91394c942438d6e0
SHA512: ed33a3dc2d9b2720fd087f1054b96dbfed7c91f56bfa64d15dcd5a7ea4f18a608927696e14e74678a02816d9638db252116b6bbda247faf6b743837918832ab1
Homepage: https://cran.r-project.org/package=ForecastCombinations
Description: CRAN Package 'ForecastCombinations' (Forecast Combinations)
 Aim: Supports the most frequently used methods to combine forecasts. Among
 others: Simple average, Ordinary Least Squares, Least Absolute Deviation,
 Constrained Least Squares, Variance-based, Best Individual model, Complete
 subset regressions and Information-theoretic (information criteria based).

Package: r-cran-forecaster
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 859
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-zoo, r-cran-golem, r-cran-config, r-cran-forecast, r-cran-htmltools, r-cran-lubridate, r-cran-stringr, r-cran-rlang, r-cran-shinyjs, r-cran-shinyace, r-cran-echarts4r, r-cran-htmlwidgets, r-cran-colourpicker, r-cran-shinydashboard, r-cran-shiny, r-cran-shinycustomloader, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-forecaster_3.0.2-1.ca2004.1_all.deb
Size: 479412
MD5sum: 57256a0c177d24a0aa4256093bc0118f
SHA1: f35cc2024bdb2ef64ea3a7be36f49a69f7ffb431
SHA256: 970be019c408b26950ca37623ba23b6b2fa7c663cca5d2ae9ff96aa83d026ecd
SHA512: a3ab326d092c98d037231aee18fa33ef25f4f99e0e4b095f399f4748e7901159f81c3ff362362b5c33b076c31903cf69323f8f1f4177d15e4acd7a8fddc24f73
Homepage: https://cran.r-project.org/package=forecasteR
Description: CRAN Package 'forecasteR' (Time Series Forecast System)
 A web application for displaying, analysing and forecasting univariate time
 series. Includes basic methods such as mean, naïve, seasonal naïve and
 drift, as well as more complex methods such as Holt-Winters Box,G and
 Jenkins, G (1976) <doi:10.1111/jtsa.12194> and ARIMA Brockwell, P.J. and
 R.A.Davis (1991) <doi:10.1007/978-1-4419-0320-4>.

Package: r-cran-forecasthybrid
Architecture: all
Version: 5.0.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-thief, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-purrr, r-cran-zoo
Suggests: r-cran-gmdh, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forecasthybrid_5.0.19-1.ca2004.1_all.deb
Size: 631028
MD5sum: bc4602d8ab3fdf6864394ffb4b151581
SHA1: b7b236a7ffd2dba82e18dd678a0b48deace0efaa
SHA256: 729d36dc44c64d77c0747d42dea93fc5b75ee11937983cc5676d2496b1cf88b7
SHA512: 484188435b934f8092c2e143f3722f5eb978df09e60263da341e90a120ebf658ac661c35c4700d0c181dfc299ded2be11daaf05fde2fa20c48cfb4dd03aa6bc5
Homepage: https://cran.r-project.org/package=forecastHybrid
Description: CRAN Package 'forecastHybrid' (Convenient Functions for Ensemble Time Series Forecasts)
 Convenient functions for ensemble forecasts in R combining approaches from
 the 'forecast' package. Forecasts generated from auto.arima(), ets(),
 thetaf(), nnetar(), stlm(), tbats(), and snaive() can be combined with equal
 weights, weights based on in-sample errors (introduced by Bates & Granger
 (1969) <doi:10.1057/jors.1969.103>), or cross-validated weights. Cross
 validation for time series data with user-supplied models and forecasting
 functions is also supported to evaluate model accuracy.

Package: r-cran-forecastingensembles
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3657
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-fable, r-cran-fabletools, r-cran-fable.prophet, r-cran-feasts, r-cran-fracdiff, r-cran-ggplot2, r-cran-gt, r-cran-magrittr, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-urca
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-forecastingensembles_0.5.0-1.ca2004.1_all.deb
Size: 1978680
MD5sum: e220ba7b74602131428156043986b636
SHA1: ee66c198f913fe5baa5de9925bfaebc110417348
SHA256: b38bcfa35e30dd0b8953656afd42f7e30fb9404d8aeadc6d321077b0f15584dc
SHA512: a506051ee4b2eb6f16b7c5f52eed1ae223181be12318c19e27f7932d75adde47e8cb446f9568b1fe043fb6d3dc896c3cbeae6471f6dcb409bf9eb447647d2f56
Homepage: https://cran.r-project.org/package=ForecastingEnsembles
Description: CRAN Package 'ForecastingEnsembles' (Time Series Forecasting Using 23 Individual Models)
 Runs multiple individual time series models, and combines them into an
 ensembles of time series models. This is mainly used to predict the results
 of the monthly labor market report from the United States Bureau of Labor
 Statistics for virtually any part of the economy reported by the Bureau of
 Labor Statistics, but it can be easily modified to work with other types of
 time series data.  For example, the package was used to predict the winning
 men's and women's time for the 2024 London Marathon.

Package: r-cran-forecastlsw
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-locits, r-cran-wavethresh, r-cran-lpacf, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-forecastlsw_1.0-1.ca2004.1_all.deb
Size: 118440
MD5sum: e1e76d1078315b63be1c8eef2f3060fa
SHA1: 28980e0654cfd4a3e610ac7d700938b23ad0b714
SHA256: b7a52451592ed49208aceb56e2ff94662779e3adf5410dc186acf26fcc05decb
SHA512: 29f66080f14c17df7b3e6804207ed5fcfe9e5e00d758293a5b8009b8173101748e936095378dc47c5c6f8e1477206cafdfc5cebbdd7442011521b8f9fdde78a4
Homepage: https://cran.r-project.org/package=forecastLSW
Description: CRAN Package 'forecastLSW' (Forecasting Routines for Locally Stationary Wavelet Processes)
 Implementation to perform forecasting of locally stationary wavelet
 processes by examining the local second order structure of the time series.

Package: r-cran-forecastml
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3098
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-magrittr, r-cran-lubridate, r-cran-ggplot2, r-cran-future.apply, r-cran-purrr, r-cran-data.table, r-cran-dtplyr, r-cran-tibble
Suggests: r-cran-glmnet, r-cran-dt, r-cran-knitr, r-cran-xgboost, r-cran-randomforest, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-forecastml_0.9.0-1.ca2004.1_all.deb
Size: 1321500
MD5sum: dbdb5096217ce0a160f09b6b7c3105d3
SHA1: 02000df5011162ba98af80c78f80930d93ce6aeb
SHA256: 74ecc935fc089a1407b5fbd174eaaf45e6465cdc88ce35486088a92193394ba5
SHA512: 9dfa09ed058bf5e36303931343681a9e337eb2baf018282c905b16e6bff52568edb3bb1d173794f9a1f7cac41579b23f41dbaf3d2664e172e9830c91e7431c69
Homepage: https://cran.r-project.org/package=forecastML
Description: CRAN Package 'forecastML' (Time Series Forecasting with Machine Learning Methods)
 The purpose of 'forecastML' is to simplify the process of multi-step-ahead
 forecasting with standard machine learning algorithms. 'forecastML' supports
 lagged, dynamic, static, and grouping features for modeling single and
 grouped numeric or factor/sequence time series. In addition, simple wrapper
 functions are used to support model-building with most R packages. This
 approach to forecasting is inspired by Bergmeir, Hyndman, and Koo's (2018)
 paper "A note on the validity of cross-validation for evaluating
 autoregressive time series prediction" <doi:10.1016/j.csda.2017.11.003>.

Package: r-cran-forecasttb
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psf, r-cran-decomposedpsf, r-cran-ggplot2, r-cran-gridextra, r-cran-imputetestbench, r-cran-reshape2, r-cran-forecast, r-cran-circlize, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forecasttb_1.0.1-1.ca2004.1_all.deb
Size: 179424
MD5sum: 9eee5e043e0c1b03705d1d0d4b0ec4c4
SHA1: 560e94d6858fe697c2a0af9a2acca3f6a0b2341c
SHA256: 225d4709ce803cb9b04b17a30fab46581833f49268754fe126fc162f299ecb1b
SHA512: 6422d981b4165392d9c798964632dd6b6fff7165e692e3355e853868822511bf646fa25fa6e8f783b3d430dd9d28886d75cf155bb18734e1d2a09c8aea94f0b8
Homepage: https://cran.r-project.org/package=ForecastTB
Description: CRAN Package 'ForecastTB' (Test Bench for the Comparison of Forecast Methods)
 Provides a test bench for the comparison of forecasting methods in
 uni-variate time series. Forecasting methods are compared using different
 error metrics. Proposed forecasting methods and alternative error metrics
 can be used. Detailed discussion is provided in the vignette.

Package: r-cran-foreco
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1406
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-osqp, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-foreco_1.1.0-1.ca2004.1_all.deb
Size: 1353524
MD5sum: 9e48a20ab2f9a4a7749640a57fc5cc44
SHA1: e0ff32c66aa81fa89ef53036b2d6f202fe6d4f67
SHA256: dde8ea5597a8b1746d2d5195140d44fa120ee3d1130771fb41101524c60e5751
SHA512: badbae14e95da46d04cb00de5d92e0e9c24174072cfb5757004105cf244fcd1c3c866f025a5595c974e2ca87c755c0f107c0cf0e5e2a91fd19c119c8433e7e22
Homepage: https://cran.r-project.org/package=FoReco
Description: CRAN Package 'FoReco' (Forecast Reconciliation)
 Classical (bottom-up and top-down), optimal combination and heuristic point
 (Di Fonzo and Girolimetto, 2023 <doi:10.1016/j.ijforecast.2021.08.004>) and
 probabilistic (Girolimetto et al. 2024
 <doi:10.1016/j.ijforecast.2023.10.003>) forecast reconciliation procedures
 for linearly constrained time series (e.g., hierarchical or grouped time
 series) in cross-sectional, temporal, or cross-temporal frameworks.

Package: r-cran-forecomp
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-astsa, r-cran-forecast, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forecomp_0.9.0-1.ca2004.1_all.deb
Size: 93500
MD5sum: d9ed6d49a4829a6b56dc59bc14b4dfe3
SHA1: 23d1b11c90886da1718ffe4090f6628c4d815c7d
SHA256: aae2743178eda912f28295ad42f75085f95b7ebe4c8b0a95e1bd63fdb2f48452
SHA512: e1b3672262ff014a3db92260d0ab3f73c6c5f6703a17de299a51b5475f9dd61f2b792ec3e2917b0b9600a0b710de7c5526002187482c4e06f4ef4e3906cf1c9c
Homepage: https://cran.r-project.org/package=ForeComp
Description: CRAN Package 'ForeComp' (Size-Power Tradeoff Visualization for Equal Predictive Abilityof Two Forecasts)
 Offers a set of tools for visualizing and analyzing size and power
 properties of the test for equal predictive accuracy, the Diebold-Mariano
 test that is based on heteroskedasticity and autocorrelation-robust (HAR)
 inference. A typical HAR inference is involved with non-parametric
 estimation of the long-run variance, and one of its tuning parameters, the
 truncation parameter, trades off a size and power. Lazarus, Lewis, and Stock
 (2021)<doi:10.3982/ECTA15404> theoretically characterize the size-power
 frontier for the Gaussian multivariate location model. 'ForeComp' computes
 and visualizes the finite-sample size-power frontier of the Diebold-Mariano
 test based on fixed-b asymptotics together with the Bartlett kernel. To
 compute the finite-sample size and power, it works with the best
 approximating ARMA process to the given dataset. It informs the user how
 their choice of the truncation parameter performs and how robust the testing
 outcomes are.

Package: r-cran-forectheta
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-forecast, r-cran-tseries, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forectheta_3.0-1.ca2004.1_all.deb
Size: 127264
MD5sum: e6999b3f1369cdc9655018f87488e443
SHA1: 3b276f928e2b6d85a6531579dbe4d3b128c981f8
SHA256: 2d6f371729238cd1b2219b39e082700981031200fec444d2711f5d05c427e0e2
SHA512: bcfb018cadf17bb5f065b494ec2d8bbf47f687dfa24d407618ecbab19a0d189e7c2a565864df5232a0d483e1082f930a522bf6f1d2accd1d9368d13289d6231a
Homepage: https://cran.r-project.org/package=forecTheta
Description: CRAN Package 'forecTheta' (Forecasting Time Series by Theta Models)
 Routines for forecasting univariate time series using Theta Models.

Package: r-cran-forensic
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genetics, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-forensic_0.2-1.ca2004.1_all.deb
Size: 64876
MD5sum: c6055cbe5a477ded934da8ee11597dcf
SHA1: e81b7d75d40f45257c43c84af6a3afc0951bf26a
SHA256: 24c282c3869c9eb8f072fbb5f9bbc7518c14c903e68892970a7a3d2eef1e6f28
SHA512: 62e57be9e65dac3e43a2db497db5346f7d61eb42fe156ef071f0494d69929b66e4142899c88f390a2e83bd17124edcbf9186c92e2183ae3285d1f506f4174620
Homepage: https://cran.r-project.org/package=forensic
Description: CRAN Package 'forensic' (Statistical Methods in Forensic Genetics)
 The statistical evaluation of DNA mixtures, DNA profile match probability

Package: r-cran-forensicolors
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forrel, r-cran-pedtools, r-cran-plotly, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-forensicolors_1.0.0-1.ca2004.1_all.deb
Size: 30300
MD5sum: 4538e8f0806700d7d6426b92a9cf1a73
SHA1: bdb9428ac92669b191a9e32e3bf9f1ef3886f98c
SHA256: 085dd6bfba68716585565567cf7ba0180c4a0be915ed972a02a07d8b4d15fd30
SHA512: 2a53dc3f24e06140690c08b0a3810844cd892fc0336559bee71154bf61e99ea1e23206de31bc77a8862992e3fa9feea32b6665d008de2bb29a196842e6040d2a
Homepage: https://cran.r-project.org/package=forensicolors
Description: CRAN Package 'forensicolors' (Forensic Colors)
 Computes likelihood ratios based on pigmentation traits. Also, it allows
 computing conditional probabilities for unidentified individuals based on
 missing person characteristics. A set of tailored plots are incorporated to
 analyze likelihood ratio distributions.

Package: r-cran-forensicpopdata
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-forensicpopdata_1.0.4-1.ca2004.1_all.deb
Size: 54800
MD5sum: 52af073a9fb986c43e0299b76c416504
SHA1: dab360178a52b57b63f626a822229e466d9bcc79
SHA256: 6397e4afa0be78f17fa15a9f692cc5d1a7dd2983f0fb0bf753f1a9bd38e862bf
SHA512: 4f93ff2a776838f2cb63f9f7614a306640d7562df16d792b7f207cb661fb0eccef4f8865d85c1fed698c773b4ed09ae5911e2f3c2be181cb6a6fcba8493ae32e
Homepage: https://cran.r-project.org/package=forensicpopdata
Description: CRAN Package 'forensicpopdata' (Allele Frequency Data for Human Genetic Markers)
 Provides allele frequency data for Short Tandem Repeat human genetic markers
 commonly used in forensic genetics for human identification and kinship
 analysis. Includes published population frequency data from the US National
 Institute of Standards and Technology, Federal Bureau of Investigation and
 the UK government.

Package: r-cran-forensit
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3183
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mispitools, r-cran-forrel, r-cran-pedprobr, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-fbnet, r-cran-foreach, r-cran-hrbrthemes, r-cran-gtools, r-cran-reshape2, r-cran-pedtools, r-cran-iterators, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-forensit_1.1.1-1.ca2004.1_all.deb
Size: 3057236
MD5sum: 8651c632c5511e02f2bf1d10a03a9992
SHA1: cc2592dce973ac71842b6248ad93caadb9f4e395
SHA256: 83fe8d25a899b5c405958bd92427659fe2d2330a2bd4603f7ccc8bd7a8e876db
SHA512: 799f509ff51215d8c9d97257c929094fd5787cab8638a182440691d28aaeb2df2389f69c5f0ec689b314cde7502b264ca60f19a66c1c91617db5402aa52026e5
Homepage: https://cran.r-project.org/package=forensIT
Description: CRAN Package 'forensIT' (Information Theory Tools for Forensic Analysis)
 The 'forensIT' package is a comprehensive statistical toolkit tailored for
 handling missing person cases. By leveraging information theory metrics, it
 enables accurate assessment of kinship, particularly when limited genetic
 evidence is available. With a focus on optimizing statistical power,
 'forensIT' empowers investigators to effectively prioritize family members,
 enhancing the reliability and efficiency of missing person investigations.

Package: r-cran-forestat
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1356
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-nlme, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-forestat_1.1.0-1.ca2004.1_all.deb
Size: 953368
MD5sum: a739d120df3d450249d787f538fdd747
SHA1: 490b6635d2984275bd24ee1ffef240a48bbb3d3b
SHA256: acf0fbc9bd41edf9caea0f0c13378fa4d865733c3b16d7226eb349c85111ddc5
SHA512: f2d5a893499c9fc89ab0369c0c5e40f6045febc81ac2a92a2293498dd2125016630f36a696a8ef2e4636d47a5981f1c57cdfd9aae4b8f19c905d415d74413101
Homepage: https://cran.r-project.org/package=forestat
Description: CRAN Package 'forestat' (Forest Carbon Sequestration and Potential ProductivityCalculation)
 Include assessing site classes based on the stand height growth and
 establishing a nonlinear mixed-effect biomass model under different site
 classes based on the whole stand model to achieve more accurate estimation
 of carbon sequestration. In particular, a carbon sequestration potential
 productivity calculation method based on the potential mean annual increment
 is proposed. This package is applicable to both natural forests and
 plantations. It can quantitatively assess stand’s potential productivity,
 realized productivity, and possible improvement under certain site, and can
 be used in many aspects such as site quality assessment, tree species
 suitability evaluation, and forest degradation evaluation. Reference: Lei X,
 Fu L, Li H, et al (2018) <doi:10.11707/j.1001-7488.20181213>. Fu L, Sharma R
 P, Zhu G, et al (2017) <doi:10.3390/f8040119>.

Package: r-cran-forestdata
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1714
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-terra, r-cran-stringi, r-cran-archive, r-cran-foreign, r-cran-lifecycle, r-cran-cli, r-cran-glue, r-cran-countrycode
Suggests: r-cran-aws.s3, r-cran-rodbc, r-cran-odbc, r-cran-giscor, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-forestdata_0.3.1-1.ca2004.1_all.deb
Size: 1507584
MD5sum: fe8fa6e7e3c0fe4f580680cada14fd56
SHA1: 0a1de5eacbff4be2e3df19863ea32bed2a703057
SHA256: a8ec6b5a0bfc9a65ba4461d219f3d4ab8afd92e473b47fd077a7d617cde3cb69
SHA512: a57e0631eee195cc4aebc83be5cd09d5b4090ed9a2834aaf7e4118b9bd2fe1296d6df160da2a22cb7e067fc33f5600ec15577d1a04c4d27d7ef2f340261195b2
Homepage: https://cran.r-project.org/package=forestdata
Description: CRAN Package 'forestdata' (Download Forestry Data)
 Functions for downloading forestry and land use data for use in spatial
 analysis. This packages offers a user-friendly solution to quickly obtain
 datasets such as forest height, forest types, tree species under various
 climate change scenarios, or land use data among others.

Package: r-cran-forestdisc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-nloptr, r-cran-moments
Filename: pool/dists/focal/main/r-cran-forestdisc_0.1.0-1.ca2004.1_all.deb
Size: 36284
MD5sum: 53a3cc877fd35e1144958bf96e4d7ab1
SHA1: ef06bb2f8e17da1b43fa92ba11706898de9038b5
SHA256: f2ceac89e28f13eb51d2ef219b81fa19f254a6539770e89f308323fba874bade
SHA512: 70e8c78bd267c1cb95f9c1bc910d9fabf60c746143c8382a3d9f0cb31d59e7f7b9eba68739f12b0e5b1d17fb226f35406a436cca09b5d117e4a23835605d1ee9
Homepage: https://cran.r-project.org/package=ForestDisc
Description: CRAN Package 'ForestDisc' (Forest Discretization)
 Supervised, multivariate, and non-parametric discretization algorithm based
 on tree ensembles learning and moment matching optimization. This version of
 the algorithm relies on random forest algorithm to learn a large set of
 split points that conserves the relationship between attributes and the
 target class, and on moment matching optimization to transform this set into
 a reduced number of cut points matching as well as possible statistical
 properties of the initial set of split points. For each attribute to be
 discretized, the set S of its related split points extracted through random
 forest is mapped to a reduced set C of cut points of size k. This mapping
 relies on minimizing, for each continuous attribute to be discretized, the
 distance between the four first moments of S and the four first moments of C
 subject to some constraints. This non-linear optimization problem is
 performed using k values ranging from 2 to 'max_splits', and the best
 solution returned correspond to the value k which optimum solution is the
 lowest one over the different realizations. ForestDisc is a generalization
 of RFDisc discretization method initially proposed by Berrado and Runger
 (2009) <doi:10.1109/AICCSA.2009.5069327>, and improved by Berrado et al. in
 2012 by adopting the idea of moment matching optimization related by Hoyland
 and Wallace (2001) <doi: 10.1287/mnsc.47.2.295.9834>.

Package: r-cran-forestdynr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-biomass
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forestdynr_0.0.1-1.ca2004.1_all.deb
Size: 47520
MD5sum: 1047bf9a4fd8c908a7c8bd1ec8b0ce37
SHA1: 6f47e3be3b7cd8798272a09e523f8e077a4edab7
SHA256: ad403175c2e0050e78c1c8340e608b623725b57fef4edc06e07f2e7028d1c9c9
SHA512: af5a4d8f09a995dc70c74d32173f071232397f0274c705edeb2cb25124e141a1e1cb01e0909f159b7b7011a7f00e699beac40a66ea1a97e390db8085b892f7db
Homepage: https://cran.r-project.org/package=forestdynR
Description: CRAN Package 'forestdynR' (Calculate Forest Dynamics)
 Determines the dynamics of tree species communities (mortality rates,
 recruitment, loss and gain in basal area, net changes and turnover).
 Important notes are a) The 'forest_df' argument (data) must contain the
 columns 'plot' (plot identification), 'spp' (species identification), DBH_1
 (Diameter at breast height in first year of measure) and DBH_2 (Diameter at
 breast height in second year of measure). DBH_1 and DBH_2 must be numeric
 values; b) example input file in 'data(forest_df_example)'; c) The argument
 'inv_time' represents the time between inventories, in years; d) The 'coord'
 argument must be of the type 'c(longitude, latitude)', with decimal degree
 values; e) Argument 'add_wd' represents a dataframe with wood density values
 (g cm-3) format with three columns ('genus', 'species', 'wd'). This argument
 is set to NULL by default, and if isn't provided, the wood density will be
 estimated with the getWoodDensity() function from the 'BIOMASS' package.

Package: r-cran-forestecology
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1718
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-glue, r-cran-ggplot2, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-ggridges, r-cran-mvnfast, r-cran-sf, r-cran-sfheaders, r-cran-snakecase, r-cran-tibble, r-cran-yardstick, r-cran-blockcv, r-cran-forcats, r-cran-patchwork
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-forestecology_0.2.0-1.ca2004.1_all.deb
Size: 1356720
MD5sum: 30a3de93b8b72ad63060aef1483bc556
SHA1: 72e6e62f08d4319d35e2c36774c86b646364fa84
SHA256: d6a6a2708eba00a24a53477f572ccffaac97c0246249d0b69e73e6fc5a351c79
SHA512: ccc612d01b092a2875983e96591790170602fb8ba7ba55728c82d13beeef11927767d1e6e43b3b2fee748b0957856857a547684008b500f801197e54ceb82630
Homepage: https://cran.r-project.org/package=forestecology
Description: CRAN Package 'forestecology' (Fitting and Assessing Neighborhood Models of the Effect ofInterspecific Competition on the Growth of Trees)
 Code for fitting and assessing models for the growth of trees. In particular
 for the Bayesian neighborhood competition linear regression model of Allen
 (2020): methods for model fitting and generating fitted/predicted values,
 evaluating the effect of competitor species identity using permutation
 tests, and evaluating model performance using spatial cross-validation.

Package: r-cran-forested
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-forested_0.1.0-1.ca2004.1_all.deb
Size: 477728
MD5sum: 3c26beaca78625c9966bcd4018e03e4d
SHA1: bdf0a8a835e6b081d34449ec5d6814c3443de895
SHA256: b05c16b232bd7fe82b4d043e902597dfb5500c8996a41bd373d34eee0c71c11e
SHA512: 858b9d33f1dc3bfc08a1a0b73b43a812b451aa9f6ad0afc4218bc4f8963f4abc9f07dda4d467503a1daf95f1d6a1087e15b7093579d0a211f97794fe648b3454
Homepage: https://cran.r-project.org/package=forested
Description: CRAN Package 'forested' (Forest Attributes in Washington State)
 A small subset of plots in Washington State are sampled and assessed
 "on-the-ground" as forested or non-forested by the U.S.  Department of
 Agriculture, Forest Service, Forest Inventory and Analysis (FIA) Program,
 but the FIA also has access to remotely sensed data for all land in the
 state. The 'forested' package contains a data frame by the same name
 intended for use in predictive modeling applications where the more
 easily-accessible remotely sensed data can be used to predict whether a plot
 is forested or non-forested.

Package: r-cran-forestelementsr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-magrittr, r-cran-ggplot2, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-rdpack, r-cran-tidyr, r-cran-vctrs, r-cran-stringr, r-cran-tidyselect, r-cran-doby
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forestelementsr_2.1.0-1.ca2004.1_all.deb
Size: 1261356
MD5sum: 616e16d575971c2ffaa8cfd53598228d
SHA1: e4bcf349c66b2158c0c95ff6f537edff0c13766e
SHA256: d409e5b97834323f5653b36a24192727a14f3bcf4da0a4042c051d823259d0fd
SHA512: 5186bd34beec25197a9a0ac61756e9c3d8c8827792e7c7cd9281352eac02bdc539f216c2b630d47bb7eafbadb840328318700d04f2afe36174e54ef23a67c20d
Homepage: https://cran.r-project.org/package=ForestElementsR
Description: CRAN Package 'ForestElementsR' (Data Structures and Functions for Working with Forest Data)
 Provides generic data structures and algorithms for use with forest
 mensuration data in a consistent framework. The functions and objects
 included are a collection of broadly applicable tools. More specialized
 applications should be implemented in separate packages that build on this
 foundation. Documentation about 'ForestElementsR' is provided by three
 vignettes included in this package. For an introduction to the field of
 forest mensuration, refer to the textbooks by Kershaw et al. (2017)
 <doi:10.1002/9781118902028>, and van Laar and Akca (2007)
 <doi:10.1007/978-1-4020-5991-9>.

Package: r-cran-foresterror
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-purrr
Suggests: r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-foresterror_1.1.0-1.ca2004.1_all.deb
Size: 53140
MD5sum: 27a936191f6d178220e45e789f7c8e4f
SHA1: 2f95b7a142ef244ee806dd42f8995587be433209
SHA256: 4416573c7670e3583a30737975e1587ab349b95a43746c1c27128e16802a224d
SHA512: a6e13b24dc7ccc4c1e480f83750134259fafe740844012e4b81f8f5a6b950647c20694683843b23fc2492ac09fd25f4ac550f4c101f5f27ebdc3315b65e80479
Homepage: https://cran.r-project.org/package=forestError
Description: CRAN Package 'forestError' (A Unified Framework for Random Forest Prediction ErrorEstimation)
 Estimates the conditional error distributions of random forest predictions
 and common parameters of those distributions, including conditional
 misclassification rates, conditional mean squared prediction errors,
 conditional biases, and conditional quantiles, by out-of-bag weighting of
 out-of-bag prediction errors as proposed by Lu and Hardin (2021). This
 package is compatible with several existing packages that implement random
 forests in R.

Package: r-cran-forestfit
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ars, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-forestfit_2.4.3-1.ca2004.1_all.deb
Size: 455232
MD5sum: fbeb1b62e23ad9f48bdb637a69992a2d
SHA1: 69fb2687636f7140419af8575b5893e991238315
SHA256: 5241cbfd202ac7e0a409fe3b85405033d23b090ccad2d911d061e8b61c4a43ba
SHA512: 0ed91aefe1dcf3d357e4c20c40cf342b5ca8fe50bcca864e3be346d4d1f6aa059b4e11e34a51b693a5aead5dd97d8ff37bade034266a8357704a5b3d1cdaf867
Homepage: https://cran.r-project.org/package=ForestFit
Description: CRAN Package 'ForestFit' (Statistical Modelling for Plant Size Distributions)
 Developed for the following tasks. 1 ) Computing the probability density
 function, cumulative distribution function, random generation, and
 estimating the parameters of the eleven mixture models. 2 ) Point estimation
 of the parameters of two - parameter Weibull distribution using twelve
 methods and three - parameter Weibull distribution using nine methods. 3 )
 The Bayesian inference for the three - parameter Weibull distribution. 4 )
 Estimating parameters of the three - parameter Birnbaum - Saunders,
 generalized exponential, and Weibull distributions fitted to grouped data
 using three methods including approximated maximum likelihood, expectation
 maximization, and maximum likelihood. 5 ) Estimating the parameters of the
 gamma, log-normal, and Weibull mixture models fitted to the grouped data
 through the EM algorithm, 6 ) Estimating parameters of the nonlinear height
 curve fitted to the height - diameter observation, 7 ) Estimating
 parameters, computing probability density function, cumulative distribution
 function, and generating realizations from gamma shape mixture model
 introduced by Venturini et al. (2008) <doi:10.1214/07-AOAS156> , 8 ) The
 Bayesian inference, computing probability density function, cumulative
 distribution function, and generating realizations from univariate and
 bivariate Johnson SB distribution, 9 ) Robust multiple linear regression
 analysis when error term follows skewed t distribution, 10 ) Estimating
 parameters of a given distribution fitted to grouped data using method of
 maximum likelihood, and 11 ) Estimating parameters of the Johnson SB
 distribution through the Bayesian, method of moment, conditional maximum
 likelihood, and two - percentile method.

Package: r-cran-forestgapr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-powerlaw, r-cran-raster, r-cran-sp, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-vgam, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-forestgapr_0.1.7-1.ca2004.1_all.deb
Size: 529700
MD5sum: cdb8102a24a79f249bee711eff05e39a
SHA1: 32ffec0a28c2ce7f460d659348601c86479cd8e1
SHA256: 8e49d5951738b96876d702c10bfcdabf9222d43baddf6b195cbefe47c7377cc7
SHA512: c1624219a58f3a226d81461c9fd3dd17468f7ab67a213e017170f9c6d7f0d8f61a1fd89b5d9e2b1e8f02c8bd93e8ceb73405d6a3128370cc6dec35faa75d4e9c
Homepage: https://cran.r-project.org/package=ForestGapR
Description: CRAN Package 'ForestGapR' (Tropical Forest Canopy Gaps Analysis)
 Set of tools for detecting and analyzing Airborne Laser Scanning-derived
 Tropical Forest Canopy Gaps. Details were published in Silva and others
 (2019) <doi:10.1111/2041-210X.13211>.

Package: r-cran-forestgym
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-forestgym_1.0.0-1.ca2004.1_all.deb
Size: 44244
MD5sum: 094c2244a376e38ced8036d7f39566f4
SHA1: 265772794b82e20c05cd35f51599a2ebeb7f2497
SHA256: 1632607a693470ff256b0372533aa134a51351613b9197ea4b44b3ec1ec08e31
SHA512: 2036f902de781ef85aa796cea1ed7264eade7930f402084a7345c5935324120988bfba1c1b2adf0a057e43418388c404462defc01dfc31e229a80cfc54172a3b
Homepage: https://cran.r-project.org/package=forestGYM
Description: CRAN Package 'forestGYM' (Forest Growth and Yield Model Based on Clutter Model)
 The Clutter model is a significant forest growth simulation tool. Grounded
 on individual trees and comprehensively considering factors such as
 competition among trees and the impact of environmental elements on growth,
 it can accurately reflect the growth process of forest stands. It can be
 applied in areas like forest resource management, harvesting planning, and
 ecological research. With the help of the Clutter model, people can better
 understand the dynamic changes of forests and provide a scientific basis for
 rational forest management and protecting the ecological environment. This R
 package can effectively realize the construction of forest growth and
 harvest models based on the Clutter model and achieve optimized forest
 management.References: Farias A, Soares C, Leite H et
 al(2021)<doi:10.1007/s10342-021-01380-1>. Guera O, Silva J, Ferreira R, et
 al(2019)<doi:10.1590/2179-8087.038117>.

Package: r-cran-foresthes
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-foresthes_2.0.1-1.ca2004.1_all.deb
Size: 66988
MD5sum: 48917e9408a2d3dc81b5211322420fb2
SHA1: 1ac358b9018ea8eb43de591b8ddc2a9d9030367a
SHA256: 6216253d51f5ed59a25c450c0883570392386cc8ce3a20274aac8431ea3614bc
SHA512: 8b5221852048dfc2e96f377b3e729f99933386067c93ccbba4f236fdf358da7707fcd567f20cba939b1c4ad52423e0a404a47bd17fde8042af04764fc82c429c
Homepage: https://cran.r-project.org/package=forestHES
Description: CRAN Package 'forestHES' (Forest Health Evaluation System at the Forest Stand Level)
 Assessing forest ecosystem health is an effective way for forest resource
 management.The national forest health evaluation system at the forest stand
 level using analytic hierarchy process, has a high application value and
 practical significance. The package can effectively and easily realize the
 total assessment process, and help foresters to further assess and
 management forest resources.

Package: r-cran-forestinventory
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1398
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-forestinventory_1.0.0-1.ca2004.1_all.deb
Size: 1353592
MD5sum: 6db3b3fe886edb3a55c278fa8d7a6875
SHA1: fe0ea20bcd98a50aa7cefc0b5d8ec3c919914d74
SHA256: 9b554c24b9f7345dd4c86fd2e0619f8b353c9afc2e202854449ab129130c7fc0
SHA512: bef80f9a3c7cb17af7bbf23d92d43ff4a3b78ec2f70a2ae4c7f08243bfb5264abd7b3fbf5725da68b11b22a8cd1510b0c1cdf6ebdbf53f005dbabf63c5413d45
Homepage: https://cran.r-project.org/package=forestinventory
Description: CRAN Package 'forestinventory' (Design-Based Global and Small-Area Estimations for MultiphaseForest Inventories)
 Extensive global and small-area estimation procedures for multiphase forest
 inventories under the design-based Monte-Carlo approach are provided.  The
 implementation has been published in the Journal of Statistical Software
 (<doi:10.18637/jss.v097.i04>) and includes estimators for simple and cluster
 sampling published by Daniel Mandallaz in 2007
 (<doi:10.1201/9781584889779>), 2013 (<doi:10.1139/cjfr-2012-0381>,
 <doi:10.1139/cjfr-2013-0181>, <doi:10.1139/cjfr-2013-0449>,
 <doi:10.3929/ethz-a-009990020>) and 2016 (<doi:10.3929/ethz-a-010579388>).
 It provides point estimates, their external- and design-based variances and
 confidence intervals, as well as a set of functions to analyze and visualize
 the produced estimates.  The procedures have also been optimized for the use
 of remote sensing data as auxiliary information, as demonstrated in 2018 by
 Hill et al. (<doi:10.3390/rs10071052>).

Package: r-cran-forestly
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3989
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brew, r-cran-crosstalk, r-cran-glue, r-cran-htmltools, r-cran-metalite, r-cran-metalite.ae, r-cran-reactable, r-cran-reactr, r-cran-rlang, r-cran-ggplot2, r-cran-uuid
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-r2rtf, r-cran-rmarkdown, r-cran-patchwork, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forestly_0.1.2-1.ca2004.1_all.deb
Size: 1216988
MD5sum: 28d4e4e7469759d25b7d99d2e54bb091
SHA1: 0e6d9f85d5f5642687d40ea4d9746159e1c18bdf
SHA256: d43ca029a36a2cda9dd4791829f662e7d80d4fb73de4e0880bdc22372f1e608e
SHA512: 81cf4b5cb26936c8d17198b6c0b619ab554a659915eb6b7250a6a6ee02cab85b0c88af355661fe913eacf8a7b7bf82a836c30c10aad1c558b7f0dd5b415aec95
Homepage: https://cran.r-project.org/package=forestly
Description: CRAN Package 'forestly' (Interactive Forest Plot)
 Interactive forest plot for clinical trial safety analysis using 'metalite',
 'reactable', 'plotly', and Analysis Data Model (ADaM) datasets. Includes
 functionality for adverse event filtering, incidence-based group filtering,
 hover-over reveals, and search and sort operations. The workflow allows for
 metadata construction, data preparation, output formatting, and interactive
 plot generation.

Package: r-cran-forestmangr
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1523
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-tidyr, r-cran-broom, r-cran-purrr, r-cran-plyr, r-cran-tibble, r-cran-systemfit, r-cran-ggpmisc, r-cran-rlang, r-cran-car, r-cran-magrittr, r-cran-minpack.lm, r-cran-fincal, r-cran-scales, r-cran-ggdendro, r-cran-gridextra, r-cran-shiny, r-cran-miniui
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyselect, r-cran-formattable
Filename: pool/dists/focal/main/r-cran-forestmangr_0.9.8-1.ca2004.1_all.deb
Size: 776700
MD5sum: f58d38e673c1ad6e65b24f752b71a09c
SHA1: bb57ab82588622f8ed4cf2bd4d5e60c716f6d9eb
SHA256: d74d7edd616c0d76efc556a65b415380cf1797d6228f55e4d5192ec8688de5e9
SHA512: d7a10c770639965c4227b55ea8ef9af318965104d157961baa2a69b1241ebdbc3a5d5fe043eb753398583756cae4446294093ac3609d6a1fcd56cd8a3000621b
Homepage: https://cran.r-project.org/package=forestmangr
Description: CRAN Package 'forestmangr' (Forest Mensuration and Management)
 Processing forest inventory data with methods such as simple random
 sampling, stratified random sampling and systematic sampling. There are also
 functions for yield and growth predictions and model fitting, linear and
 nonlinear grouped data fitting, and statistical tests. References: Kershaw
 Jr., Ducey, Beers and Husch (2016). <doi:10.1002/9781118902028>.

Package: r-cran-forestmodel
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-broom, r-cran-rlang
Suggests: r-cran-survival, r-cran-metafor, r-cran-labelled
Filename: pool/dists/focal/main/r-cran-forestmodel_0.6.2-1.ca2004.1_all.deb
Size: 115644
MD5sum: a228372abfdf7797166dbd99ffbd4bdd
SHA1: b50fa7604bbb01c7e02203d929484fdb65d04ff2
SHA256: 1dede88f2ff61e6babd96fe42af3b57d35024626abb9d1acce5c28db1f7f718f
SHA512: e17d0c5f36af4d6e70e7cc227a235381d0fa5f324f69df81e242d252c94682ca417d8929fb3427478f83728e6d71512ccb25ca875c5c0d2ddf2cef2522622ad5
Homepage: https://cran.r-project.org/package=forestmodel
Description: CRAN Package 'forestmodel' (Forest Plots from Regression Models)
 Produces forest plots using 'ggplot2' from models produced by functions such
 as stats::lm(), stats::glm() and survival::coxph().

Package: r-cran-forestplot
Architecture: all
Version: 3.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-abind
Suggests: r-cran-dplyr, r-cran-gmisc, r-cran-greg, r-cran-knitr, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-rmeta, r-cran-rms, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-forestplot_3.1.7-1.ca2004.1_all.deb
Size: 430172
MD5sum: 1b15dbd83e215d51cd9eda531a7bc00d
SHA1: 8c2721c04ac063f5250bce82ed2d65242555803d
SHA256: 736c195da9d99490f7c9f8b46d1f084ab1586883053f201d76debdcce8436e4f
SHA512: bcc3044b7452eb759e2dd9d13d312ce10a9d45b007ae1b28c74ed9ae8f5a81b964af40773528bf388e420c61ee69dd309406964155ca0e2fb841739d4d27a3f8
Homepage: https://cran.r-project.org/package=forestplot
Description: CRAN Package 'forestplot' (Advanced Forest Plot Using 'grid' Graphics)
 Allows the creation of forest plots with advanced features, such as multiple
 confidence intervals per row, customizable fonts for individual text
 elements, and flexible confidence interval drawing. It also supports mixing
 text with mathematical expressions. The package extends the application of
 forest plots beyond traditional meta-analyses, offering a more general
 version of the original 'rmeta' package’s forestplot() function. It relies
 heavily on the 'grid' package for rendering the plots.

Package: r-cran-forestploter
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gridextra, r-cran-gtable
Suggests: r-cran-gridtext, r-cran-rmarkdown, r-cran-knitr, r-cran-vdiffr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-forestploter_1.1.3-1.ca2004.1_all.deb
Size: 1541400
MD5sum: b8c489b82a0999ec86f070829c0c0ec0
SHA1: 778aa81bad2505b8714b9450f2eea9fe588e12f7
SHA256: 40a750675838e4fdf907ea525403a84d2c9831fecc0b3e4f76b83d21f7c1a6b5
SHA512: 528b039ae99c43309d14186da8baef768e0e31a7df78d2642f814537ed747f95ff5060d94f550827177f292b7e381e92c81c819a6319bef3145be6e0b50735fe
Homepage: https://cran.r-project.org/package=forestploter
Description: CRAN Package 'forestploter' (Create a Flexible Forest Plot)
 Create a forest plot based on the layout of the data. Confidence intervals
 in multiple columns by groups can be done easily. Editing the plot,
 inserting/adding text, applying a theme to the plot, and much more.

Package: r-cran-forestpsd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-ttr, r-cran-modelr, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-forestpsd_1.0.0-1.ca2004.1_all.deb
Size: 29632
MD5sum: 5c0e30a3af1c22c4a789bafdebbe8843
SHA1: 28d40c3ace559d95814887b9a17156c429377355
SHA256: 4d4ab3a591e6aff09c8579d4fa2f6ec671fca6239723739efc59f2ddb43d1068
SHA512: 18bc95e02963ec94c07824edbcf0f21473e2b50b7ab8d5df2e949c70b4f47a000bc78c479761ec770b2205e25f0aef42be7c8867a5f2d3788dcceaf12df22d71
Homepage: https://cran.r-project.org/package=forestPSD
Description: CRAN Package 'forestPSD' (Forest Population Structure and Numeric Dynamics)
 Analysis of forest population structure and quantitative dynamics is the
 research and evaluation of the composition, distribution, age structure and
 changes in quantity over time of various populations in the forest. By
 deeply understanding these characteristics of forest populations, scientific
 basis can be provided for the management, protection and sustainable
 utilization of forest resources. This R package conducts a systematic
 analysis of forest population structure and quantitative dynamics through
 analyzing age structure, compiling life tables, population quantitative
 dynamic change indices and time series models, in order to provide support
 for forest population protection and sustainable management. References:
 Zhang Y, Wang J, Wang X, et al(2024)<doi:10.3390/plants13070946>. Yuan G,
 Guo Q, Xie N, et al(2023)<doi:10.1007/s11629-022-7429-z>.

Package: r-cran-forestr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-viridis, r-cran-tidyr, r-cran-moments, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-forestr_2.0.2-1.ca2004.1_all.deb
Size: 1135396
MD5sum: 0839a1b62e7f67a6952213f143919097
SHA1: f4f16b898b0f4cba178c531b0fbaa2b84f7c5c10
SHA256: 067ecac56c7d27a7e48300ef622351b945948a77e1463858b1fb2e405265ba8d
SHA512: c58519790ee572849534896e31c8ee487905aac778a9c980a2ee7b5303c9cd28e8bb96d49cfd51bd54992047681d432f2294c5a3e9e09422678eb004e61bdf93
Homepage: https://cran.r-project.org/package=forestr
Description: CRAN Package 'forestr' (Ecosystem and Canopy Structural Complexity Metrics from LiDAR)
 Provides a toolkit for calculating forest and canopy structural complexity
 metrics from terrestrial LiDAR (light detection and ranging). References:
 Atkins et al. 2018 <doi:10.1111/2041-210X.13061>; Hardiman et al. 2013
 <doi:10.3390/f4030537>; Parker et al. 2004
 <doi:10.1111/j.0021-8901.2004.00925.x>.

Package: r-cran-forestrk
Architecture: all
Version: 0.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ggplot2, r-cran-rapportools, r-cran-partykit, r-cran-pkgkitten, r-cran-knitr, r-cran-mlbench
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-forestrk_0.0-5-1.ca2004.1_all.deb
Size: 373896
MD5sum: 2cb481e2e6ef30234e55f9146952047d
SHA1: 08e67d2740c7a190736f34129a15ea56ae2e5241
SHA256: a5467e87ddb54c6eb1ceee1463dcabdb39c35dd3758b3ab56377925f5676b6ea
SHA512: 79ed7bccc52bd56cd3def97dd0404d9cec2a80e49e0ef9074dd91f326f61fd22ae2e4c5aaaee685fc87ee05254007a902473d4f9991e64bcc986ac2bddf50267
Homepage: https://cran.r-project.org/package=forestRK
Description: CRAN Package 'forestRK' (Implements the Forest-R.K. Algorithm for Classification Problems)
 Provides functions that calculates common types of splitting criteria used
 in random forests for classification problems, as well as functions that
 make predictions based on a single tree or a Forest-R.K. model; the package
 also provides functions to generate importance plot for a Forest-R.K. model,
 as well as the 2D multidimensional-scaling plot of data points that are
 colour coded by their predicted class types by the Forest-R.K. model. This
 package is based on: Bernard, S., Heutte, L., Adam, S., (2008,
 ISBN:978-3-540-85983-3) "Forest-R.K.: A New Random Forest Induction Method",
 Fourth International Conference on Intelligent Computing, September 2008,
 Shanghai, China, pp.430-437.

Package: r-cran-forestry
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.tree
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-forestry_0.1.1-1.ca2004.1_all.deb
Size: 45268
MD5sum: 79b703381cdcfca397ad5f29a3cd7c16
SHA1: 164b2550eb9268ec54a63b9771a95b812e6177d2
SHA256: 9e982820fdd679773013cdfc72c6aae448694faf72a9ef3848c24f47180e348d
SHA512: a128792cfcb36c62541855ee922cdea50efd53532159034570d06bd94315ffc1ce14f5ef727f82efe421ef2ea9cbaef9755f773f3eea45aea0549a10e93ee17c
Homepage: https://cran.r-project.org/package=forestry
Description: CRAN Package 'forestry' (Reshape Data Tree)
 A series of utility functions to help with reshaping hierarchy of data tree,
 and reform the structure of data tree.

Package: r-cran-forestsas
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.data, r-cran-spatstat.geom, r-cran-spatstat.random
Filename: pool/dists/focal/main/r-cran-forestsas_2.0.4-1.ca2004.1_all.deb
Size: 2275880
MD5sum: 32508a142e45a529d914216b2d06223f
SHA1: b483d2185f3d80cc23f072d4d92c7497116f0b09
SHA256: 98b6d49a2a23615e8c310db8dbfdc63e81d8b6b6e21c31da93b582e93f88719f
SHA512: c61bef41bec91a5d0d559ddc3686e605c9bd9046b1a32eb794a81d56b3002c33156529e6913c6d0c2b0191c0bb3fedfc951dd6ad228fc01d1afccb87fe615e45
Homepage: https://cran.r-project.org/package=forestSAS
Description: CRAN Package 'forestSAS' (Forest Spatial Structure Analysis Systems)
 Recent years have seen significant interest in neighborhood-based structural
 parameters that effectively represent the spatial characteristics of tree
 populations and forest communities, and possess strong applicability for
 guiding forestry practices. This package provides valuable information that
 enhances our understanding and analysis of the fine-scale spatial structure
 of tree populations and forest stands. Reference: Yan L, Tan W, Chai Z, et
 al (2019) <doi:10.13323/j.cnki.j.fafu(nat.sci.).2019.03.007>.

Package: r-cran-foresttools
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-matrix, r-cran-imager, r-cran-glcmtextures
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-foresttools_1.0.3-1.ca2004.1_all.deb
Size: 3037556
MD5sum: 0b4121db26cc3edbf56100d2ff17d903
SHA1: 2ce323a33bb8bb8560bd4a2aecefe683d6c587ff
SHA256: 4217016a0268bb1d1d86a3947b986c18b776ad5ce436ff097399364161a315b1
SHA512: 20f32918fb598f1ecfb5ce74b9b6737c15c59eac72c96804703049681e318fc1b68ab7d375f544afd395b77caa2662e36b2810560b7b8d11cae231c35a29a354
Homepage: https://cran.r-project.org/package=ForestTools
Description: CRAN Package 'ForestTools' (Tools for Analyzing Remote Sensing Forest Data)
 Tools for analyzing remote sensing forest data, including functions for
 detecting treetops from canopy models, outlining tree crowns, and
 calculating textural metrics.

Package: r-cran-foretell
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-foretell_0.2.0-1.ca2004.1_all.deb
Size: 575948
MD5sum: 52842b7ceaca09dc44c8a2e7b4ffa49f
SHA1: d9416421cdb6366c31b1b7b5b6abc7fff7f5ea47
SHA256: 3b348fdca1bf02896dfb53ab1ecfb7b9a5a773ad72f6eee572952af3044fd2fe
SHA512: 24ea723ee1fa0e0cf2d3d4d7c7004d28cbfa8e023674c229e6990cb166dfef611b12e105bd3834c81406effd7abb19931936ad65c2558d8c46f45a5a1f811122
Homepage: https://cran.r-project.org/package=foretell
Description: CRAN Package 'foretell' (Projecting Customer Retention Based on Fader and HardieProbability Models)
 Project Customer Retention based on Beta Geometric, Beta Discrete Weibull
 and Latent Class Discrete Weibull Models.This package is based on Fader and
 Hardie (2007) <doi:10.1002/dir.20074> and Fader and Hardie et al. (2018)
 <doi:10.1016/j.intmar.2018.01.002>.

Package: r-cran-forge
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-forge_0.2.0-1.ca2004.1_all.deb
Size: 39400
MD5sum: 2ed5dd485b49d94e5ec0d3dabc942038
SHA1: 2246744b49c286d4ec33d0b26bcbafdf484361be
SHA256: 334330aa35682a3dffdec7c672294d2002e213314ba0b8f08ba8e79d63a454e0
SHA512: 95d03e1b6fc880b7676474cb46a449e9642ee3e3b7f4af14035b394406b8c85afb889e4c20feff6cae5d1e752fbbbf705342c4e29dff2f6565d7adeec533a260
Homepage: https://cran.r-project.org/package=forge
Description: CRAN Package 'forge' (Casting Values into Shape)
 Helper functions with a consistent interface to coerce and verify the types
 and shapes of values for input checking.

Package: r-cran-forgts
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 688
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gt, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyxl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forgts_0.0.1-1.ca2004.1_all.deb
Size: 601168
MD5sum: b09fbef587f74542c628ce74c65bfbd7
SHA1: dac6e74f83cf242a8fe6bb5ed11220c297ab2b10
SHA256: 7a3e5b0a9c5ff0c00e77be0add45920a8cbf150256e131054d3f1dd96f4c6b6e
SHA512: e1a2f080928a003df3beef5085c405da938df86fd658cf431c8f055f317d3da2b362642f10c5008fccf490c980454d2050e7e8e50d1e24237acc25cd3fca2141
Homepage: https://cran.r-project.org/package=forgts
Description: CRAN Package 'forgts' (Convert Formatted Spreadsheets to Presentation-Ready DisplayTables)
 Reads cell contents plus formatting from a spreadsheet file and creates an
 editable 'gt' object with the same data and formatting. Supports the most
 commonly-used cell and text styles including colors, fills, font weights and
 decorations, and borders.

Package: r-cran-forimage
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2464
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-data.table, r-cran-xml2, r-cran-raster, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forimage_0.1.0-1.ca2004.1_all.deb
Size: 1527884
MD5sum: 37e54146547a3ef5ffbba3eb7aaa1807
SHA1: fe1a2612328c2735fb3e0033a7a6e4f5b946b7ef
SHA256: a3b7b2ab88ba5e3e87c474cf2585315f938f64fcfcf377784b6a418b14b6cf92
SHA512: 095843f5da15a3626f0ffa0013dd9fa8e4c872b12838ab2bec9d1b8af706d8c7c7d862d4489e91c7ebb1f7682db8098b8d988ceecbe64f878864f1d375541b4f
Homepage: https://cran.r-project.org/package=forImage
Description: CRAN Package 'forImage' (Foraminiferal Image Analysis and Test Measurement)
 The goal of this collection of functions is to provide an easy to use tool
 for the measurement of foraminifera and other unicellulars organisms size.
 With functions developed to guide foraminiferal test biovolume calculations
 and cell biomass estimations. The volume function includes several
 microalgae models geometric adaptations based on Hillebrand et al. (1999)
 <doi:10.1046/j.1529-8817.1999.3520403.x>, Sun and Liu (2003)
 <doi:10.1093/plankt/fbg096> and Vadrucci, Cabrini and Basset (2007)
 <doi:10.1285/i1825229Xv1n2p83>.

Package: r-cran-forimp
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-homals, r-cran-sampling, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-forimp_1.0.3-1.ca2004.1_all.deb
Size: 54380
MD5sum: 9d593290f30088e3012eaaa8d6439de8
SHA1: 20b3c0662d66570a2d0096a52f9bdcff4607fa28
SHA256: eff86ada887afc1eb7cb388f140509ffcab940268372d3ffe710ae2a9b3b60c2
SHA512: 74499fa8e13f5973ada3b41bc5509ce36eeeca2c3fa50ca4d1ed667d37d447ddfb5df0da7fa6b80b7e923ea4ffe6d3df2c9af3fc73eb9c7c2cbc3deb491dbef0
Homepage: https://cran.r-project.org/package=ForImp
Description: CRAN Package 'ForImp' (Imputation of Missing Values Through a Forward ImputationAlgorithm)
 Imputation of missing values in datasets of ordinal variables through a
 forward imputation algorithm

Package: r-cran-forit
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3888
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-rcolorbrewer, r-cran-metr, r-cran-rlang, r-cran-ggplot2
Suggests: r-cran-matrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forit_2.5.0-1.ca2004.1_all.deb
Size: 3845456
MD5sum: 2c5f2ab29d45abf3a77434bc36f051d5
SHA1: f3c2df28b342d112d79b0cbf84671aaef88bb79a
SHA256: d01af1bebc45a8b1cc7764d50b69197b7f582121bdf74b8d2e2620eacef5ff3e
SHA512: 7cb3df4892c789e22c4fe12fd0d11372f6c6a7cba2e12ad2601421710788e5bb6e58cbed74ec14aa7e6d42f6fdb3dae7a0bbf2f23329d7958de5bd2d70802d5a
Homepage: https://cran.r-project.org/package=ForIT
Description: CRAN Package 'ForIT' (Functions to Estimate Tree Volume and Phytomass in the ItalianForest Inventory 2005)
 Tabacchi et al. (2011) published a very detailed study producing a uniform
 system of functions to estimate tree volume and phytomass components (stem,
 branches, stool). The estimates of the 2005 Italian forest inventory
 (<https://www.inventarioforestale.org/it/>) are based on these functions.
 The study documents the domain of applicability of each function and the
 equations to quantify estimates accuracies for individual estimates as well
 as for aggregated estimates. This package makes the functions available in
 the R environment.  Version 2 exposes two distinct functions for individual
 and summary estimates. To facilitate access to the functions, tree species
 identification is now based on EPPO species codes
 (<https://data.eppo.int/>).

Package: r-cran-forlion
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-psych, r-cran-cubature
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forlion_0.3.0-1.ca2004.1_all.deb
Size: 334488
MD5sum: 1223b2f8dc6383cc598d8d4c9341d382
SHA1: ba610d7ad4741df84bbbd2555ace587e03db12a5
SHA256: 18feb70dbf7192d9150db48ce12566f98ce09f8a5b84386e233e7854b4a1c394
SHA512: 086df8fefb9f350e19f0284ef38861997249287ae5233b3c635b9c3368d14a0df2c1261dc9a6501e53c2f75186e899da15fd5bcb6453b12ee7a83203bce443ee
Homepage: https://cran.r-project.org/package=ForLion
Description: CRAN Package 'ForLion' ('ForLion' Algorithm to Find D-Optimal Designs for Experiments)
 Designing experimental plans that involve both discrete and continuous
 factors with general parametric statistical models using the 'ForLion'
 algorithm and 'EW ForLion' algorithm. The algorithms will search for locally
 optimal designs and EW optimal designs under the D-criterion. Reference:
 Huang, Y., Li, K., Mandal, A., & Yang, J.,
 (2024)<doi:10.1007/s11222-024-10465-x>.

Package: r-cran-formatbibtex
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bibtex
Filename: pool/dists/focal/main/r-cran-formatbibtex_0.1.1-1.ca2004.1_all.deb
Size: 41240
MD5sum: fe58dc79855eda5d0ec1b259c15de480
SHA1: 1695bb5ba8e7a7556366b069caf9b16cd29e6033
SHA256: cd3408bcd7cffa6458b13acff6d25a42968d495f5bb016b884a8eb102c178f9c
SHA512: 6f19dd13aead01aa4ce96884e6ec559af388a828c06c3ea48426cdd023e2e39ecfd6c9b99885173b4ec8ba8a198cef73ae6b6c9a711df6fcf7a627b522a3e86c
Homepage: https://cran.r-project.org/package=formatBibtex
Description: CRAN Package 'formatBibtex' (Format BibTeX Entries and Files)
 Format BibTeX entries and files in an opinionated way.

Package: r-cran-formatdown
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1904
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-settings, r-cran-units, r-cran-wrapr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-formatdown_0.1.4-1.ca2004.1_all.deb
Size: 1570520
MD5sum: 79a154c240d47c38b2c4a1b1a4c5118d
SHA1: 6fb4f1a5b0e849b2507d3ddbbcd988a618b32ca4
SHA256: 21ff3b596567408b2331f570c14bbc1015973f7230cc925746e348d97c59888f
SHA512: 823c8f405984137c8944a7855e6150cd4cef3b01e42b32b26753d6251c4e63480efba1e43a8e8c9fccc596b33b854e0eb7dae7c1cbb8f98398288c8e2bcd11f8
Homepage: https://cran.r-project.org/package=formatdown
Description: CRAN Package 'formatdown' (Formatting Numbers in 'rmarkdown' Documents)
 Provides a small set of tools for formatting numbers in R-markdown
 documents. Convert a numerical vector to character strings in power-of-ten
 form, decimal form, or measurement-units form; all are math-delimited for
 rendering as inline equations. Can also convert text into math-delimited
 text to match the font face and size of math-delimited numbers. Useful for
 rendering single numbers in inline R code chunks and for rendering columns
 in tables.

Package: r-cran-formatr
Architecture: all
Version: 1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rstudioapi, r-cran-shiny, r-cran-testit, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-formatr_1.14-1.ca2004.1_all.deb
Size: 143804
MD5sum: 964cae042d6714ee9fce1f8d79a8d62b
SHA1: dd6ccca7eac7592a60a42ae2ff26b10f5fcf066f
SHA256: 1a1b9d4c8b5ea474e790532e854a1f30e1376bd3cbcbc7423677df91e24144d7
SHA512: 6fbba71ffd7671a868b7bbd1946a0a5743f82aa7b8cbd701d2e6f617ec3a80cadd8e00ac1d42d83348cde35ad89d9a340b125a9d63a81f06ad080721cb117c13
Homepage: https://cran.r-project.org/package=formatR
Description: CRAN Package 'formatR' (Format R Code Automatically)
 Provides a function tidy_source() to format R source code. Spaces and indent
 will be added to the code automatically, and comments will be preserved
 under certain conditions, so that R code will be more human-readable and
 tidy. There is also a Shiny app as a user interface in this package (see
 tidy_app()).

Package: r-cran-formattable
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-testthat, r-cran-dt, r-cran-shiny, r-cran-covr
Filename: pool/dists/focal/main/r-cran-formattable_0.2.1-1.ca2004.1_all.deb
Size: 156620
MD5sum: 1bd2bb46dda5708010e6cf2717791ba2
SHA1: 86612de646edf81360c706d9657852c69a523088
SHA256: 23ffdaba81e6b083c96c3ae8070e2d2eaed296a2538cc7648d7f8b43cb3a9815
SHA512: 50354ca0f6b7b265ec20e4676c5a54e3d0af9f9673a85adbb377faf3a1a65f7fe37d6f5963266f2f4d1e96814cb8ce8ce4a85c9998b706955fa8376fa0aa2ffc
Homepage: https://cran.r-project.org/package=formattable
Description: CRAN Package 'formattable' (Create 'Formattable' Data Structures)
 Provides functions to create formattable vectors and data frames.
 'Formattable' vectors are printed with text formatting, and formattable data
 frames are printed with multiple types of formatting in HTML to improve the
 readability of data presented in tabular form rendered in web pages.

Package: r-cran-formatters
Architecture: all
Version: 0.5.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-htmltools, r-cran-lifecycle, r-cran-stringi
Suggests: r-cran-dplyr, r-cran-gt, r-cran-huxtable, r-cran-knitr, r-cran-r2rtf, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-formatters_0.5.11-1.ca2004.1_all.deb
Size: 2785396
MD5sum: eef4e1fc51a8db71a4b9e602f4cb03e5
SHA1: bd57eb53e46ecb3e765a584312f3352f74aa6fcb
SHA256: 4895a6bd584b1d7c16659883610c156d17c8c9ede7ee7dd26056accba13383de
SHA512: 1751f6c55d7a750182551ce8acf6989c61fa6ad260d6577fcd4ecbc61294ce592cee9f8a304e9f5c274794c563fb9a737b37631627b1d38565bb2264f150d3f1
Homepage: https://cran.r-project.org/package=formatters
Description: CRAN Package 'formatters' (ASCII Formatting for Values and Tables)
 We provide a framework for rendering complex tables to ASCII, and a set of
 formatters for transforming values or sets of values into ASCII-ready
 display strings.

Package: r-cran-formods
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4414
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-digest, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-onbrand, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-rhandsontable, r-cran-shiny, r-cran-shinyace, r-cran-shinywidgets, r-cran-stringr, r-cran-writexl, r-cran-yaml, r-cran-zip
Suggests: r-cran-clipr, r-cran-covr, r-cran-devtools, r-cran-dt, r-cran-flextable, r-cran-ggpubr, r-cran-gtools, r-cran-here, r-cran-janitor, r-cran-knitr, r-cran-plotly, r-cran-prompter, r-cran-rmarkdown, r-cran-shinybusy, r-cran-shinydashboard, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-formods_0.2.1-1.ca2004.1_all.deb
Size: 2363940
MD5sum: 7c61189f1f1b4dd412fea380c59d2eef
SHA1: 28acd93e606f7ad25c9ac4d21fc56bf2c3e79d38
SHA256: c4735f06ad2ada1bc7586aa1ab1e541ff219e6f88d3069cb5a1903233f820b46
SHA512: 307d99e7a0fe641226c23e143260b6d974440ba167a0db993bd3f762af24dda5899f6caccc75f0e88e0bf35e57b12c0c53df8bc6d97dec1e6c2bccd3e5dcafe8
Homepage: https://cran.r-project.org/package=formods
Description: CRAN Package 'formods' ('Shiny' Modules for General Tasks)
 'Shiny' apps can often make use of the same key elements, this package
 provides modules for common tasks (data upload, wrangling data, figure
 generation and saving the app state), and also a framework for developing.
 These modules can react and interact as well as generate code to create
 reproducible analyses.

Package: r-cran-formshare
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-formshare_1.0.1-1.ca2004.1_all.deb
Size: 57524
MD5sum: 1118df9a25201466ecca6d1898247b6f
SHA1: 9570b8a89b03cf239d3d9ae6f805569b9a977123
SHA256: baddf7c86e380f84a875d4c9adfdfca707c7c87db7154bde933b4ce05d5a6f2d
SHA512: 56f9ec41e2e2482aef4e03751042bb7d8b2f9ad6a8226fba466e4468b547cadbf71f876e219d27b5f719afffef3ab133122cbf829e9953788d4151b6d003edbf
Homepage: https://cran.r-project.org/package=FormShare
Description: CRAN Package 'FormShare' (A Simple Connection Between the 'FormShare App' and 'R' forAdvanced Analytics)
 Provides analytics directly from 'R'. It requires: 'FormShare App':
 <https://github.com/qlands/FormShare >= 2.22.0> .  Analytics plugin:
 <https://github.com/qlands/formshare_analytics_plugin> .  Remote SQL plugin:
 <https://github.com/qlands/formshare_sql_plugin> .

Package: r-cran-formula.tools
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-formula.tools_1.7.1-1.ca2004.1_all.deb
Size: 87028
MD5sum: a7751ad37cbed8da955cc3181e053db2
SHA1: 551a7b890361ec6ce6e25404bb0085a0468e9453
SHA256: 3eaecba5d06221b51aac6c6a9e1b6f6871c69947d6563b1d0f0220b1a2745627
SHA512: a5ab32ed5f1ecdac6f8cb583dcc9ab71ed2b5def7b96030e0c7621e7ea4a9fce124fcf3db15e187536d4f8b10d037788ee6af87ded37c48bc907567d68414411
Homepage: https://cran.r-project.org/package=formula.tools
Description: CRAN Package 'formula.tools' (Programmatic Utilities for Manipulating Formulas, Expressions,Calls, Assignments and Other R Objects)
 These utilities facilitate the programmatic manipulations of formulas,
 expressions, calls, assignments and other R language objects.  These objects
 all share the same structure: a left-hand side, operator and right-hand
 side. This packages provides methods for accessing and modifying this
 structures as well as extracting and replacing names and symbols from these
 objects.

Package: r-cran-formula
Architecture: all
Version: 1.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-formula_1.2-5-1.ca2004.1_all.deb
Size: 157236
MD5sum: 61ea9cf8b3a88c99c930d6495d79349f
SHA1: 91deed212f7f7477f123da297c529cac8ccd1efb
SHA256: 6783be0e37fa2c2f76d5e87291cc092389f2e99e84cfe3f59e9386f9cdfb53d8
SHA512: d06851ed703ff94056491cdf4c8e55e2cc26c092952f1a0bb49446394a9bc8c0e773c4f525b08915fdb9c16814f5251296e7899cdc23870ab0f50bca4c81ee05
Homepage: https://cran.r-project.org/package=Formula
Description: CRAN Package 'Formula' (Extended Model Formulas)
 Infrastructure for extended formulas with multiple parts on the right-hand
 side and/or multiple responses on the left-hand side (see
 <doi:10.18637/jss.v034.i01>).

Package: r-cran-formulaic
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-formulaic_0.0.8-1.ca2004.1_all.deb
Size: 256004
MD5sum: cc40ca419d42a074b35795e4aeb7817a
SHA1: 6933a0957939b7b25e0b826177d056d26484a92d
SHA256: 20e72cf00e6c06058c3fe2d064aa0426204701f48448597d94383d46514d099f
SHA512: 79254db2a140488b033efb64da30548012ae1c0ac52e7dae74ac194ebdba7f5a994977aca64a4915cad34715793652574696825471d4afd93dea9e6a74bcee99
Homepage: https://cran.r-project.org/package=formulaic
Description: CRAN Package 'formulaic' (Dynamic Generation and Quality Checks of Formula Objects)
 Many statistical models and analyses in R are implemented through formula
 objects. The formulaic package creates a unified approach for
 programmatically and dynamically generating formula objects. Users may
 specify the outcome and inputs of a model directly, search for variables to
 include based upon naming patterns, incorporate interactions, and identify
 variables to exclude. A wide range of quality checks are implemented to
 identify issues such as misspecified variables, duplication, a lack of
 contrast in the inputs, and a large number of levels in categorical data.
 Variables that do not meet these quality checks can be automatically
 excluded from the model.  These issues are documented and reported in a
 manner that provides greater accountability and useful information to guide
 an investigation of the data.

Package: r-cran-formulops
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-formulops_0.5.1-1.ca2004.1_all.deb
Size: 34080
MD5sum: 55cc177144368b76cb210fd088cd4095
SHA1: 1c995dd3f800f1113f32618d02f865578e835016
SHA256: 7971e1889e411dbb2914f21bd9d6a4da81249292cea6b57dc296a07e92f8d0b1
SHA512: cf5c6bdb368f6cdfd77037162384a911b0a9f90f7a259996f2c353da91b5083e9468991694a806dd87eda98fa52f3a9bfc1b59f2b7e579d48337dba3686edd40
Homepage: https://cran.r-project.org/package=formulops
Description: CRAN Package 'formulops' (Mathematical Operations on R Formula)
 Perform mathematical operations on R formula (add, subtract, multiply, etc.)
 and substitute parts of formula.

Package: r-cran-formulr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-formulr_1.0.0-1.ca2004.1_all.deb
Size: 57684
MD5sum: 4de29647152cc4ea25fdcc748154808e
SHA1: 51fc9bfceb15e476422ae93175befe540bf115a5
SHA256: 8cf617e17ffe583464ad5df37142d31c5eded9a0a2a9995c1a530f6e39f64482
SHA512: 73d822d6e4bea225174688536e81822bc3d572388aff2c67ff45550c25f12bb4a4a3d4e46d3486cdaf62c870a779098b8623bfb83557b25f85d7116851213c64
Homepage: https://cran.r-project.org/package=FormulR
Description: CRAN Package 'FormulR' (Comprehensive Tools for Drug Formulation Analysis andVisualization)
 This presents a comprehensive set of tools for the analysis and
 visualization of drug formulation data. It includes functions for
 statistical analysis, regression modeling, hypothesis testing, and
 comparative analysis to assess the impact of formulation parameters on drug
 release and other critical attributes. Additionally, the package offers a
 variety of data visualization functions, such as scatterplots, histograms,
 and boxplots, to facilitate the interpretation of formulation data. With its
 focus on usability and efficiency, this package aims to streamline the drug
 formulation process and aid researchers in making informed decisions during
 formulation design and optimization.

Package: r-cran-forplo
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1114
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-mass, r-cran-meta, r-cran-survival, r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-forplo_0.2.5-1.ca2004.1_all.deb
Size: 674344
MD5sum: 191b9197ada15199a9ab17ff4d7cd84d
SHA1: 64b023edd3042966df2e2ca6f9a4a18589fe2284
SHA256: f8188e4f97b4044b83bb198b7bfb3fc09dc529588eba185725d5df9061f4a816
SHA512: 975ee50a7472d57c3ecd224aaa106e1a3af83829d12520015d9c01baa160735a94db75a592913aa84e71a709c7cad9e8eeaa8e596a9b7b95fbfe94aa83c85e72
Homepage: https://cran.r-project.org/package=forplo
Description: CRAN Package 'forplo' (Flexible Forest Plots)
 Simplifies the creation and customization of forest plots (alternatively
 called dot-and-whisker plots). Input classes accepted by 'forplo' are
 data.frame, matrix, lm, glm, and coxph. 'forplo' was written in base R and
 does not depend on other packages.

Package: r-cran-forrel
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pedtools, r-cran-glue, r-cran-pbapply, r-cran-pedprobr, r-cran-ribd, r-cran-verbalisr
Suggests: r-cran-ggplot2, r-cran-ggrepel, r-cran-ibdsim2, r-cran-plotly, r-cran-poibin, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forrel_1.8.0-1.ca2004.1_all.deb
Size: 393016
MD5sum: 705105bb7216947a2ba32553b72b4afa
SHA1: 7ef824ab73d4e824d2de698a3948b1a261559dc9
SHA256: d70aa572bd9c11b2b7736435b7afa93ed2984e0a5f184596b79a5ab8b9736039
SHA512: c5f84b7ce846b7c515a6ffea7f2cde93253d57d67baabd12beb2b99696a9791206a32250227173195cc4a3a158d691c52056ea2eb428511a9b2fde2075a59ca0
Homepage: https://cran.r-project.org/package=forrel
Description: CRAN Package 'forrel' (Forensic Pedigree Analysis and Relatedness Inference)
 Forensic applications of pedigree analysis, including likelihood ratios for
 relationship testing, general relatedness inference, marker simulation, and
 power analysis. 'forrel' is part of the 'pedsuite', a collection of packages
 for pedigree analysis, further described in the book 'Pedigree Analysis in
 R' (Vigeland, 2021, ISBN:9780128244302). Several functions deal specifically
 with power analysis in missing person cases, implementing methods described
 in Vigeland et al. (2020) <doi:10.1016/j.fsigen.2020.102376>. Data import
 from the 'Familias' software (Egeland et al. (2000)
 <doi:10.1016/S0379-0738(00)00147-X>) is supported through the 'pedFamilias'
 package.

Package: r-cran-forsearch
Architecture: all
Version: 6.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-cairo, r-cran-formula.tools, r-cran-ggplot2, r-cran-nlme, r-cran-rlang, r-cran-survival, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-forsearch_6.4.0-1.ca2004.1_all.deb
Size: 565012
MD5sum: 818fdd600b1cecd7e8a48767744784a2
SHA1: 1d50739b93f8dc1baeb2d0d4977f0e7fce8b7918
SHA256: 3d114fc7af25023087e517b917e69c23ae05a3db75cb59a0c7c859df66dce900
SHA512: 32fedbdd22f87dd89ce19d04287bd6f41dbc3b90a7804032b1ebc73f5e2c6db7b536b7aff1650a8de4b1a226c9ee022ec2a8002f47b0467fa61d4271bdbd32d9
Homepage: https://cran.r-project.org/package=forsearch
Description: CRAN Package 'forsearch' (Diagnostic Analysis Using Forward Search Procedure for VariousModels)
 Identifies potential data outliers and their impact on estimates and
 analyses. Tool for evaluation of study credibility. Uses the forward search
 approach of Atkinson and Riani, "Robust Diagnostic Regression Analysis",
 2000,<ISBN: o-387-95017-6> to prepare descriptive statistics of a dataset
 that is to be analyzed by functions lm {stats}, glm {stats}, nls {stats},
 lme {nlme}, or coxph {survival}, or their equivalent in another language.
 Includes graphics functions to display the descriptive statistics.

Package: r-cran-forstringr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-glue, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-forstringr_1.0.0-1.ca2004.1_all.deb
Size: 192988
MD5sum: 3274deb02b9806109bc86f63a5429312
SHA1: b15521cfb7d52d0e2610e7ca8311eafa5f3261e6
SHA256: a7e2ae00a1dea7f151922d49274743445cf0cc0ec3f99bb7e8f24789ff7bfef2
SHA512: 18175b40494c1db2b6360f291a61ab94ab512f7a43920e6d9cde39b82e2d0ad0a53082acc028abf3dc23fef306cb9db9f346f853c7459f94a8b6975da1a56624
Homepage: https://cran.r-project.org/package=forstringr
Description: CRAN Package 'forstringr' (String Manipulation Package for Those Familiar with 'MicrosoftExcel')
 The goal of 'forstringr' is to enable complex string manipulation in R
 especially to those more familiar with LEFT(), RIGHT(), and MID() functions
 in Microsoft Excel. The package combines the power of 'stringr' with other
 manipulation packages such as 'dplyr' and 'tidyr'.

Package: r-cran-fortunes
Architecture: all
Version: 1.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fortunes_1.5-4-1.ca2004.1_all.deb
Size: 204832
MD5sum: a162f28917f0cee2728f7a854d80e1a0
SHA1: 2c0cc40526beb4ca87c23b8022c3d720c89cc624
SHA256: c2203d9e3403b88eb5119c02f505431d262949f0c3a3288211eb7b8a22128ae2
SHA512: d75b724caca547aafa0d4db50b72c60a7e5874d4f6e9cc96e07c55d35d3a121ea0c705ddcfb07270824b5bff4d3e2b020b61acfbff9d024568e6ec8b5537b008
Homepage: https://cran.r-project.org/package=fortunes
Description: CRAN Package 'fortunes' (R Fortunes)
 A collection of fortunes from the R community.

Package: r-cran-forward
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-forward_1.0.7-1.ca2004.1_all.deb
Size: 215296
MD5sum: 0bbfd9b2e65a8c0252d23908866ec5e5
SHA1: e1f302992b95cf8a3f0f7f4f9b4f6c0a3ce4c53b
SHA256: cb3d61081c92839a46d118d1683750ed6382a15c3cd1d9d8375fefac1d6e0892
SHA512: 2fef9a9e21936ea16c806d6a6a2ad8860a1fa3fad5351d2a406438baa127b22f22e6d3e61cd197b17d0e76a72557eb6114bcdbf67c7d0fe64ea251b6d443dfa0
Homepage: https://cran.r-project.org/package=forward
Description: CRAN Package 'forward' (Robust Analysis using Forward Search)
 Robust analysis using forward search in linear and generalized linear
 regression models, as described in Atkinson, A.C. and Riani, M. (2000),
 Robust Diagnostic Regression Analysis, First Edition. New York: Springer.

Package: r-cran-forwards
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-factominer, r-cran-forcats, r-cran-ggplot2, r-cran-knitr, r-cran-likert, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-forwards_0.1.3-1.ca2004.1_all.deb
Size: 147608
MD5sum: 59bc9adf35929f79b48ec9174f432a4c
SHA1: 19fabfac8ec4f8fc3b90b9faa8a408dba8351722
SHA256: b1b8b98d5368c17d8e4a31c800d029d6dd5d5cea2ed48677a935ecd90ee2fe0c
SHA512: 3824eba7cb12487cff74a5fb91bfbed9505ebc1ac1eb56c79bc77d249136f7d5ab0a2fc46686d07aa9e78a55049807acf30479022aecf7715831d444b8b00443
Homepage: https://cran.r-project.org/package=forwards
Description: CRAN Package 'forwards' (Data from Surveys Conducted by Forwards)
 Anonymized data from surveys conducted by Forwards
 <https://forwards.github.io/>, the R Foundation task force on women and
 other under-represented groups. Currently, a single data set of responses to
 a survey of attendees at useR! 2016 <https://www.r-project.org/useR-2016/>,
 the R user conference held at Stanford University, Stanford, California,
 USA, June 27 - June 30 2016.

Package: r-cran-forwardsearch
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-forwardsearch_1.0-1.ca2004.1_all.deb
Size: 51064
MD5sum: 9069dc80c8f671e18908c5e73ffc9788
SHA1: 1147e63825ba215e01d3e3a6a6f04f6a7775ec10
SHA256: 7a6b329e28cc91afccb4f26a981fc5f92e7af490cf6030e6a56c70a3fcd1240a
SHA512: b35be2de3b33d5be69c40456c2c1f12660b43afa6a6a4abe9727955a6861e510104d55fd6b85b6952c3ef1df2e8782e24d7faffb79f3da37b5374902bb9550bc
Homepage: https://cran.r-project.org/package=ForwardSearch
Description: CRAN Package 'ForwardSearch' (Forward Search using asymptotic theory)
 Forward Search analysis of time series regressions. Implements the
 asymptotic theory developed in Johansen and Nielsen (2013, 2014).

Package: r-cran-fossil
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-maps, r-cran-shapefiles
Filename: pool/dists/focal/main/r-cran-fossil_0.4.0-1.ca2004.1_all.deb
Size: 179740
MD5sum: e98e340fd7004107f764c792a5162033
SHA1: 54e8ab408fa2417e46a2961753a1ae2abbb20997
SHA256: 8092c3907fe790f3795359ad37863a93c2e7e7a0429bd4ae7f103899e4824faf
SHA512: 451959fa479f800876c631153555e9dcbe6ae74a4f482798685bfdd58178cf4ea2c760a3cc35da291350b7895233162f1321e5d53e1ad3e40f7736a894532ec9
Homepage: https://cran.r-project.org/package=fossil
Description: CRAN Package 'fossil' (Palaeoecological and Palaeogeographical Analysis Tools)
 A set of analytical tools useful in analysing ecological and geographical
 data sets, both ancient and modern. The package includes functions for
 estimating species richness (Chao 1 and 2, ACE, ICE, Jacknife), shared
 species/beta diversity, species area curves and geographic distances and
 areas.

Package: r-cran-fossilbrush
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1932
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-curl, r-cran-data.table, r-cran-pbapply, r-cran-stringdist, r-cran-stringr, r-cran-matrix
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fossilbrush_1.0.6-1.ca2004.1_all.deb
Size: 1814052
MD5sum: 49788b3c09e3754f9bc1b5db60ccec68
SHA1: 72d6e1cc0c5a8d0b5e435e2ed5a2f2d06316235f
SHA256: 5dd0965d712155c2f01d50d0f2f1a856e181a135dfa96c6d03600dc054ee91ee
SHA512: a254780e74c5fb60545ba2c2320f461e24580533ce3189526e9fefc66bd23c41e1e043b5c4dafcc666ee66da355fe8ef4939668675667696dd72331089c7e59e
Homepage: https://cran.r-project.org/package=fossilbrush
Description: CRAN Package 'fossilbrush' (Automated Cleaning of Fossil Occurrence Data)
 Functions to automate the detection and resolution of taxonomic and
 stratigraphic errors in fossil occurrence datasets. Functions were developed
 using data from the Paleobiology Database.

Package: r-cran-fossilsim
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3024
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-bioc-ggtree, r-cran-ggfun, r-cran-ggplot2, r-cran-tidytree, r-cran-rlang
Suggests: r-cran-paleotree, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-treesim, r-bioc-treeio, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-fossilsim_2.4.1-1.ca2004.1_all.deb
Size: 951956
MD5sum: 3b2fb95ccd9ca0823ad5d0a50ea1aa81
SHA1: 9cc42852e1566d0396eb88e70ac7dc3bb4351f72
SHA256: 269b65a821ef6ac7eb6c82b0a3bfd6c45e3199b04e1435eb4dbc080af9279c0a
SHA512: 087816fa98b2a2cf3d96d59d00224f645162cbfa44fe6014ef0feacce6e06322b9c7e0d65d7ecdd455f8b82a964988dddbb5d9764e75a24dda679ef7bcd12aa8
Homepage: https://cran.r-project.org/package=FossilSim
Description: CRAN Package 'FossilSim' (Simulation and Plots for Fossil and Taxonomy Data)
 Simulating and plotting taxonomy and fossil data on phylogenetic trees under
 mechanistic models of speciation, preservation and sampling.

Package: r-cran-fossilsimshiny
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1474
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-fossilsim, r-cran-treesim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fossilsimshiny_1.1.2-1.ca2004.1_all.deb
Size: 781780
MD5sum: d99690a0e5cf42b6e5df615128240d34
SHA1: 2d9e1bbc70df127c2525c85f89f8b1d286289a00
SHA256: 57dce38591d8002e66f7ba52f7d9969073c5df1d6c1ff452cdaf761aadab0bb2
SHA512: 6987ef78720c3831f55b55adc4f2fe7a7242576b4dc00f93df42b1a7090e6ab518640705a4f14b9c7ef98d0ea0a99b1d36ece4d0a0436a21b747ff46fe1345c5
Homepage: https://cran.r-project.org/package=FossilSimShiny
Description: CRAN Package 'FossilSimShiny' (Shiny Application for 'FossilSim')
 A shiny application based on 'FossilSim'. Used for simulating tree,
 taxonomic and fossil data under mechanistic models of speciation,
 preservation and sampling.

Package: r-cran-foster
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4356
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-reshape2, r-cran-dplyr, r-cran-rstoolbox, r-cran-yaimpute, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat, r-cran-randomforest, r-cran-rgdal, r-cran-caret, r-cran-trend, r-cran-data.table
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-foster_0.1.1-1.ca2004.1_all.deb
Size: 3347456
MD5sum: 1571354cf6c94dbeb5ad26afe33efc8c
SHA1: 5bd0cf4187d225fdae8f679e559d9152cd654dfa
SHA256: 7ebb83caf5963c5ffe1f02ff2b1766a6c86f7ca468e6595371e78e791b5bffcf
SHA512: 182845e036af7a8ccce8877344d17116521209e2228092276fa8f31cb8a95dc34cdc1a24990504d1ece0da93ffa1e67c8a49f358c331ac6c253dc80aed4252a4
Homepage: https://cran.r-project.org/package=foster
Description: CRAN Package 'foster' (Forest Structure Extrapolation with R)
 Set of tools to streamline the modeling of the relationship between
 satellite imagery time series or any other environmental information, such
 as terrain elevation, with forest structural attributes derived from 3D
 point cloud data and their subsequent imputation over the broader landscape.

Package: r-cran-foto
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1454
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-foto_1.1-1.ca2004.1_all.deb
Size: 1367996
MD5sum: 487b0ef41035e0a971dadac1fd34ba55
SHA1: f505f805fcf0d1533b54708c37766efb109ebb9d
SHA256: bfa4b5e2a9457d5c30cd39c54d54cc694ec77ac0d7a7124c0614d485ac42a5a3
SHA512: a0cb462b19cf559f03d45041d8eeb783d4f87ca07967acaac1ce9e7cf7902b6008e9c0cc315aedaf1a3cc636bdf78a7829205e3230cb8aa2e4ed2f7e16b5f14f
Homepage: https://cran.r-project.org/package=foto
Description: CRAN Package 'foto' (Fourier Transform Textural Ordination)
 A tool to use a principal component analysis on radially averaged two
 dimensional Fourier spectra to characterize image texture. The method within
 the context of ecology was first described by Couteron et al. (2005)
 <doi:10.1111/j.1365-2664.2005.01097.x> and expanded upon by Solorzano et al.
 (2018) <doi:10.1117/1.JRS.12.036006> using a moving window approach.

Package: r-cran-foundry
Architecture: all
Version: 0.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arrow, r-cran-jsonlite, r-cran-httr, r-cran-r6, r-cran-yaml
Suggests: r-cran-lintr, r-cran-httptest, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-foundry_0.13.0-1.ca2004.1_all.deb
Size: 103900
MD5sum: 4f5a5cab608106d4b81cfea2436a08ca
SHA1: afafdf962e4b288a25dfc08466dab5ac5a18237f
SHA256: 1300426452fc0afbe544cd80427d82115503e110707ebd6f78a0c4770e888d26
SHA512: 9ed1c807eec84890c8dd3cc0ee9a417a1b80035e6852af068aa572022100f68f598f24e43d29e4e58999d5b8d6d896661545a06dcd13c6047a9057e60b85a36c
Homepage: https://cran.r-project.org/package=foundry
Description: CRAN Package 'foundry' ('Palantir Foundry' Software Development Kit)
 Interface to 'Palantir Foundry', including reading and writing structured or
 unstructured datasets, and more
 <https://www.palantir.com/platforms/foundry/>.

Package: r-cran-fourgametep
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fourgametep_0.1.0-1.ca2004.1_all.deb
Size: 20596
MD5sum: b0c9336ef88692250120f8e951aa8493
SHA1: f7e0a28a44c073d6c9deacbbd8928907379b18f9
SHA256: 2e3c63bbbd13908ff6dfe3b10bafecf7eb0383a7d3358a5c405a2e1faf12ad82
SHA512: 17ab082e81d068b9207ee7808131b8d5d54d9bd9ddf06dcf02cecc5ca60e9ce63c5c3292c19e72efb1cb1ad54dc3015e087201f4c71bf8e9a69a818450e2f78c
Homepage: https://cran.r-project.org/package=FourgameteP
Description: CRAN Package 'FourgameteP' (FourGamete Test)
 The four-gamete test is based on the infinite-sites model which assumes that
 the probability of the same mutation occurring twice (recurrent or parallel
 mutations) and the probability of a mutation back to the original state
 (reverse mutations) are close to zero. Without these types of mutations, the
 only explanation for observing the four dilocus genotypes (example below) is
 recombination (Hudson and Kaplan 1985, Genetics 111:147-164). Thus, the
 presence of all four gametes is also called phylogenetic incompatibility.

Package: r-cran-fourscores
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fourscores_1.5.1-1.ca2004.1_all.deb
Size: 55120
MD5sum: 3600694c970c174f73554c6841fd636f
SHA1: 66044754a999eee9a228b046abae810d0ac4257d
SHA256: 71bbe87a2375de9a4cb65681e659873f63dacde16c892b648320c2f6e0821c3e
SHA512: ed4503112731c39aad2f04b0f28cbc9e7571e58ac221044c5ca8714356e5ae6b65eb695991ac5a65388fb09c98c66ef0ea7e0266826711fb75ca72f0926f7ed5
Homepage: https://cran.r-project.org/package=FourScores
Description: CRAN Package 'FourScores' (A Game for Human vs. Human or Human vs. AI)
 A game for two players: Who gets first four in a row (horizontal, vertical
 or diagonal) wins. As board game published by Milton Bradley, designed by
 Howard Wexler and Ned Strongin.

Package: r-cran-fourwayhmm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-withr, r-cran-snow, r-cran-dosnow, r-cran-foreach, r-cran-mclust, r-cran-tensor, r-cran-tidyr, r-cran-data.table, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-fourwayhmm_1.0.0-1.ca2004.1_all.deb
Size: 86380
MD5sum: 06d0b7ffd8e5a474d55bc2bc94268812
SHA1: 148c5f4185b32872c9b0e7eacaf615c2d892ff76
SHA256: 9b9d366142d15c2b92156157543edf008b6c1472d5bf74b0e0e4c0e0b6b5426a
SHA512: bc4389b5a40673db90ee9c9939feb900db7b6ecac7a396289a3a6a7bd5065f567133611500bca8b5ec540c85853053e27dd9cbf1a591dbd947d21e99446d2f37
Homepage: https://cran.r-project.org/package=FourWayHMM
Description: CRAN Package 'FourWayHMM' (Parsimonious Hidden Markov Models for Four-Way Data)
 Implements parsimonious hidden Markov models for four-way data via
 expectation- conditional maximization algorithm, as described in Tomarchio
 et al. (2020) <arXiv:2107.04330>.  The matrix-variate normal distribution is
 used as emission distribution. For each hidden state, parsimony is reached
 via the eigen-decomposition of the covariance matrices of the emission
 distribution. This produces a family of 98 parsimonious hidden Markov
 models.

Package: r-cran-fpa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape, r-cran-fields
Filename: pool/dists/focal/main/r-cran-fpa_1.0-1.ca2004.1_all.deb
Size: 59088
MD5sum: fba5b8b7c5b390c5cca66e557edd7fd2
SHA1: eba2926efae50f13d292534a5eba91ddafcfefa2
SHA256: 43f6b2f4af7e716e4c06dc9a2f0015eba22df71b6832769880ea4451ef606c3b
SHA512: 56de70d59192c3cbaf5759fbaf4632ed9f494bfcdc1b3d47363b03e8b852abb3136b7c0bd777193dffeb8e3976d6a39c17c42f2bc229a63b402e9baf73feb93d
Homepage: https://cran.r-project.org/package=fpa
Description: CRAN Package 'fpa' (Spatio-Temporal Fixation Pattern Analysis)
 Spatio-temporal Fixation Pattern Analysis (FPA) is a new method of analyzing
 eye movement data, developed by Mr. Jinlu Cao under the supervision of Prof.
 Chen Hsuan-Chih at The Chinese University of Hong Kong, and Prof. Wang
 Suiping at the South China Normal Univeristy. The package "fpa" is a R
 implementation which makes FPA analysis much easier.  There are four major
 functions in the package: ft2fp(), get_pattern(), plot_pattern(), and
 lineplot(). The function ft2fp() is the core function, which can complete
 all the preprocessing within moments. The other three functions are
 supportive functions which visualize the eye fixation patterns.

Package: r-cran-fpass
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-face, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-testthat, r-cran-mgcv, r-cran-lifecycle, r-cran-expm, r-cran-gamm4, r-cran-gss, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-hotelling, r-cran-refund, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-fpass_1.0.0-1.ca2004.1_all.deb
Size: 161588
MD5sum: 18d9f0f69415d242054b337604aa4e2f
SHA1: 605e389d23a07476a1d421e008a7824f472592a2
SHA256: d01c6769dafd00ca8dd8a70b30a6e34b9f51ed61b1bbc0ef43fbc0afaa0181dc
SHA512: efb3c4aaec6b5235e43714214a15f76a078b5edc19218565ed17d7a8a562b3451688e41e6500279c51ee6b73c3ee7a1e8bf590c2e2b8ca1eb4dc39f0af6b4d6f
Homepage: https://cran.r-project.org/package=fPASS
Description: CRAN Package 'fPASS' (Power and Sample Size for Projection Test under RepeatedMeasures)
 Computes the power and sample size (PASS) required to test for the
 difference in the mean function between two groups under a repeatedly
 measured longitudinal or sparse functional design. See the manuscript by
 Koner and Luo (2023)
 <https://salilkoner.github.io/assets/PASS_manuscript.pdf> for details of the
 PASS formula and computational details. The details of the testing procedure
 for univariate and multivariate response are presented in Wang (2021)
 <doi:10.1214/21-EJS1802> and Koner and Luo (2023) <arXiv:2302.05612>
 respectively.

Package: r-cran-fpc
Architecture: all
Version: 2.2-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 880
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-mclust, r-cran-flexmix, r-cran-prabclus, r-cran-class, r-cran-diptest, r-cran-robustbase, r-cran-kernlab
Suggests: r-cran-tclust, r-cran-pdfcluster, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-fpc_2.2-13-1.ca2004.1_all.deb
Size: 830776
MD5sum: 4a75ee83a8640d678635e911bdc90e3c
SHA1: 705accfdedafe3d99da0ed261f33ceadd62f309d
SHA256: 7a8fd46460cb0f8f359140bb8d230258c8ef717ae8dcdc7714bfdcbab0b49fc6
SHA512: 8c085799933953c1557a28dcc482498463a3e8b342481e0b038a54bb504db52c918d2795b76c2eb4148c72d81d60d5096bba069b0d51abcb0ccba6f7721ac3df
Homepage: https://cran.r-project.org/package=fpc
Description: CRAN Package 'fpc' (Flexible Procedures for Clustering)
 Various methods for clustering and cluster validation.  Fixed point
 clustering. Linear regression clustering. Clustering by merging Gaussian
 mixture components. Symmetric and asymmetric discriminant projections for
 visualisation of the separation of groupings. Cluster validation statistics
 for distance based clustering including corrected Rand index.
 Standardisation of cluster validation statistics by random clusterings and
 comparison between many clustering methods and numbers of clusters based on
 this.  Cluster-wise cluster stability assessment. Methods for estimation of
 the number of clusters: Calinski-Harabasz, Tibshirani and Walther's
 prediction strength, Fang and Wang's bootstrap stability.
 Gaussian/multinomial mixture fitting for mixed continuous/categorical
 variables. Variable-wise statistics for cluster interpretation. DBSCAN
 clustering. Interface functions for many clustering methods implemented in
 R, including estimating the number of clusters with kmeans, pam and clara.
 Modality diagnosis for Gaussian mixtures. For an overview see package?fpc.

Package: r-cran-fpca2d
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-fpca2d_1.0-1.ca2004.1_all.deb
Size: 23316
MD5sum: d2e17d1b53e1f2ba55aea9e252daccee
SHA1: 4c5104b77fbcaf0394a65db0098fb1fb666a20c5
SHA256: 439d1247c67563f048ba9f6700ebb6eb670689a3b87db7b8ca2976f7c467bfda
SHA512: 23609ac2ff941a51e6323927bfb9347c2c8966c8e6ec4c0267106bc6448005ddc2f60000f3ed3bdaea49cb9d6966c4d62174eab32e53712de4f45e8506932cfe
Homepage: https://cran.r-project.org/package=FPCA2D
Description: CRAN Package 'FPCA2D' (Two Dimensional Functional Principal Component Analysis)
 Compute the two dimension functional principal component scores for a series
 of two dimension images.

Package: r-cran-fpca3d
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fpca3d_1.0-1.ca2004.1_all.deb
Size: 22500
MD5sum: 910260eaa12b7a6ba26c0bde925348ff
SHA1: 49b9c4aa7b36e955bdf29bdb03c3325b42651331
SHA256: 59c2dc1cc71663bb465563083feeec7cf6ec3878794183d8ea0cc449119080fd
SHA512: b7fb49a29f2c77d76ac2eac2f6cb56380871c515053a97188a9a674b414acb479d03f01ad86edbdc52d51bc1ef4dfd3d329aedee5088409015202dd6a685a842
Homepage: https://cran.r-project.org/package=FPCA3D
Description: CRAN Package 'FPCA3D' (Three Dimensional Functional Component Analysis)
 Run three dimensional functional principal component analysis and return the
 three dimensional functional principal component scores. The details of the
 method are explained in Lin et al.(2015) <doi:10.1371/journal.pone.0132945>.

Package: r-cran-fpcdpca
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2634
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixcalc, r-cran-rsvd
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fpcdpca_0.3.0-1.ca2004.1_all.deb
Size: 2658132
MD5sum: c21b38ff8d74471e90077d8c977b302c
SHA1: 623e1ed79da001f7810b897362944ca96cb54628
SHA256: 946c21402ab9ad0973d857683311e54c191f28794bd3d602a8f94d59c9edaa14
SHA512: 260fbfea0248c5884648e2cf0e565ddcfcec302b74e06323d74e8359d3a625987fd24d5ecd3a90153cce8b801d055da5b6effc84b008f9f6d92f7bb71bb98444
Homepage: https://cran.r-project.org/package=FPCdpca
Description: CRAN Package 'FPCdpca' (The FPCdpca Criterion on Distributed Principal ComponentAnalysis)
 We consider optimal subset selection in the setting that one needs to use
 only one data subset to represent the whole data set with minimum
 information loss, and devise a novel intersection-based criterion on
 selecting optimal subset, called as the FPC criterion, to handle with the
 optimal sub-estimator in distributed principal component analysis; That is,
 the FPCdpca. The philosophy of the package is described in Guo G. (2025)
 <doi:10.1016/j.physa.2024.130308>.

Package: r-cran-fpcompare
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fpcompare_0.2.4-1.ca2004.1_all.deb
Size: 20708
MD5sum: cac29fa0f7e0160bb00c212db9b33e4f
SHA1: 885ca51b0b2ebf1aa1041e54ad92ae922e8a0c56
SHA256: eff37230a2e259f81e020db8c142994cc80f5d2c051fe7822c4e2501955b19ef
SHA512: 21e30d0d63064c69174dfc74e39f441ec7e85e8f0cf8d489de7d1ccc675cb13299c637ff1dd4e9629956f259f5c81c41076d78c66a72895834fb4f3aa674d6a1
Homepage: https://cran.r-project.org/package=fpCompare
Description: CRAN Package 'fpCompare' (Reliable Comparison of Floating Point Numbers)
 Comparisons of floating point numbers are problematic due to errors
 associated with the binary representation of decimal numbers.  Despite being
 aware of these problems, people still use numerical methods that fail to
 account for these and other rounding errors (this pitfall is the first to be
 highlighted in Circle 1 of Burns (2012) 'The R Inferno'
 <https://www.burns-stat.com/pages/Tutor/R_inferno.pdf>).  This package
 provides new relational operators useful for performing floating point
 number comparisons with a set tolerance.

Package: r-cran-fpdclustering
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-threeway, r-cran-mvtnorm, r-cran-exposition, r-cran-cluster, r-cran-rootsolve, r-cran-mass, r-cran-klar, r-cran-ggally, r-cran-ggplot2, r-cran-ggeasy
Filename: pool/dists/focal/main/r-cran-fpdclustering_2.3.5-1.ca2004.1_all.deb
Size: 2114232
MD5sum: 112a4ec6fdf4a97bebc3a6498cbca1fe
SHA1: ea4193f61955027f061b8bbe33881fe50ab6c5be
SHA256: d745b2d7adeef2856e08109ee2ac7a0e59ffd2b8daec9f46ab4da2e2292481ee
SHA512: 05cd10d003dc6ca19c4bb5ffc8afeb53bd3442ae4ea3f8fd2233abd6b7579bc1129ddfe4d775577ea4e43dd3c2a770a1fce329e8b11fa59f73b84ddbe1f80549
Homepage: https://cran.r-project.org/package=FPDclustering
Description: CRAN Package 'FPDclustering' (PD-Clustering and Related Methods)
 Probabilistic distance clustering (PD-clustering) is an iterative,
 distribution-free, probabilistic clustering method. PD-clustering assigns
 units to a cluster according to their probability of membership under the
 constraint that the product of the probability and the distance of each
 point to any cluster center is a constant. PD-clustering is a flexible
 method that can be used with elliptical clusters, outliers, or noisy data.
 PDQ is an extension of the algorithm for clusters of different sizes. GPDC
 and TPDC use a dissimilarity measure based on densities. Factor
 PD-clustering (FPDC) is a factor clustering method that involves a linear
 transformation of variables and a cluster optimizing the PD-clustering
 criterion. It works on high-dimensional data sets.

Package: r-cran-fpest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fpest_0.1.1-1.ca2004.1_all.deb
Size: 9600
MD5sum: ef56a1b3e2a4938214b329717c362e0f
SHA1: e1f4decd191dbfee2911dd4e11b0ace1bac38508
SHA256: d80bf492a4435c9423ab02404cc3476f31122bc76d36b97b5f30f098859ce3e8
SHA512: a10f5ec0548135c1173252ffd70f31b70e6ef0cb54b1aa3df8c4e2db21f0d4541c09863aefaee741a0eff258d6fb0cd91e0ccdd2366fdb2d74df9caccbdf2ad8
Homepage: https://cran.r-project.org/package=fpest
Description: CRAN Package 'fpest' (Estimating Finite Population Total)
 Given the values of sampled units and selection probabilities the desraj
 function in the package computes the estimated value of the total as well as
 estimated variance.

Package: r-cran-fpldata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fpldata_0.1.0-1.ca2004.1_all.deb
Size: 10804
MD5sum: 315ad589d711f2bfa788140a06a892ac
SHA1: 9c2f556a00f629e5f7bd1728bbebfca0dce2053a
SHA256: 5344f197d25806f1ba0fc2c3766de44ff34b9788701cf2ca4b5a6f05d723720b
SHA512: 0aafb56b7cf31f5dfcab5cb3495f2b94abe7bb7dc0a192bc8159eae9bddc608c044391c707af532bcda0075e4f10f0591076c58847f51a727e57ba156df87b0e
Homepage: https://cran.r-project.org/package=FPLdata
Description: CRAN Package 'FPLdata' (Read in Fantasy Premier League Data)
 This data contains a large variety of information on players and their
 current attributes on Fantasy Premier League
 <https://fantasy.premierleague.com/>. In particular, it contains a
 `next_gw_points` (next gameweek points) value for each player given their
 attributes in the current week. Rows represent player-gameweeks, i.e. for
 each player there is a row for each gameweek. This makes the data suitable
 for modelling a player's next gameweek points, given attributes such as
 form, total points, and cost at the current gameweek.  This data can
 therefore be used to create Fantasy Premier League bots that may use a
 machine learning algorithm and a linear programming solver (for example) to
 return the best possible transfers and team to pick for each gameweek,
 thereby fully automating the decision making process in Fantasy Premier
 League. This function simply supplies the required data for such a task.

Package: r-cran-fplyr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-iotools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fplyr_1.3.0-1.ca2004.1_all.deb
Size: 114552
MD5sum: eef3bcfcc23bcd1f34ac0a4f69535be4
SHA1: 71b39d96bbea3b68e62d61c8336b876c32ccd5c4
SHA256: 665f272ae22f8e21042859de2aa531122e53b207abb1596da40fbaaadfee4e2c
SHA512: 0e0ed5b9322f467a0be4ad16c9a6f42a954c1f9c212628b06eb335ba820515bb34ddf4fc329356cdc7adf088f353b1389155a5720e0fca891fc11c5197879e1a
Homepage: https://cran.r-project.org/package=fplyr
Description: CRAN Package 'fplyr' (Apply Functions to Blocks of Files)
 Read and process a large delimited file block by block. A block consists of
 all the contiguous rows that have the same value in the first field. The
 result can be returned as a list or a data.table, or even directly printed
 to an output file.

Package: r-cran-fportfolio
Architecture: all
Version: 4023.84-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1841
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics, r-cran-fassets, r-cran-fcopulae, r-cran-robustbase, r-cran-mass, r-cran-rglpk, r-cran-slam, r-cran-rsolnp, r-cran-quadprog, r-cran-kernlab, r-cran-rneos
Suggests: r-cran-parma, r-cran-rsymphony, r-cran-dplr, r-cran-bcp, r-cran-fgarch, r-cran-mvoutlier
Filename: pool/dists/focal/main/r-cran-fportfolio_4023.84-1.ca2004.1_all.deb
Size: 1602784
MD5sum: 8e6f30fa0220499116436c1c3b3da0aa
SHA1: 5081acff8ba122558981b8f33df5ad23e0c5542e
SHA256: dd34b7b0b97b18c767f2f64fa023d64f881ad6a44e9a78f97ccc0d69cee456fa
SHA512: e02c0c7243188678b89c382013a2b9cbbf1abd00fca09df74ca93a8fd5e0e0b67209c44118cfbc7cdc6e087eea6defa855732f620d57650b453c6398518142af
Homepage: https://cran.r-project.org/package=fPortfolio
Description: CRAN Package 'fPortfolio' (Rmetrics - Portfolio Selection and Optimization)
 A collection of functions to optimize portfolios and to analyze them from
 different points of view.

Package: r-cran-fpp2
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-expsmooth, r-cran-fma, r-cran-forecast, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rstudioapi
Suggests: r-cran-ggally, r-cran-gridextra, r-cran-mcomp, r-cran-seasonal, r-cran-vars
Filename: pool/dists/focal/main/r-cran-fpp2_2.5-1.ca2004.1_all.deb
Size: 353020
MD5sum: 4d3c92be2d3ff3ced6624d2b68777abc
SHA1: 3baa1048dc1b8bcd7f84c1c1e8ee53b4791c8e82
SHA256: 5588772e6c946fc7afe077397be175f67f929807a9c209092071097bcd9c5366
SHA512: 1bfde7799a900b91224dcaf2d9b60fcf59eb4877e6590ee990d5f6d2df6bb2f89b7c3b8ecc70b116978b85c5a50a1318f4a49c9a22283f145d28849322608bc8
Homepage: https://cran.r-project.org/package=fpp2
Description: CRAN Package 'fpp2' (Data for "Forecasting: Principles and Practice" (2nd Edition))
 All data sets required for the examples and exercises in the book
 "Forecasting: principles and practice" (2nd ed, 2018) by Rob J Hyndman and
 George Athanasopoulos <https://otexts.com/fpp2/>.  All packages required to
 run the examples are also loaded.

Package: r-cran-fpp3
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1420
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-fable, r-cran-fabletools, r-cran-feasts, r-cran-ggplot2, r-cran-lubridate, r-cran-purrr, r-cran-rstudioapi, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-tsibbledata
Filename: pool/dists/focal/main/r-cran-fpp3_1.0.1-1.ca2004.1_all.deb
Size: 820556
MD5sum: 7b19ce460d51228c542d3c6a02825a3d
SHA1: 0e7ba7f6d0f6b67e5814ca32c719ec0d58057058
SHA256: 1d9815413469d11fb278a2b765fa162897352d6ad22d6e6cd60a4a717fe1919b
SHA512: 27e7ddf00936195d15933468fe5505ce16ba85047d1fee395900e6ed6a4065707702ff3aa7b9812dab7fca9f97101b00e3453b4972b61b6304eb4526d0cf976e
Homepage: https://cran.r-project.org/package=fpp3
Description: CRAN Package 'fpp3' (Data for "Forecasting: Principles and Practice" (3rd Edition))
 All data sets required for the examples and exercises in the book
 "Forecasting: principles and practice" by Rob J Hyndman and George
 Athanasopoulos <https://OTexts.com/fpp3/>. All packages required to run the
 examples are also loaded. Additional data sets not used in the book are also
 included.

Package: r-cran-fpp
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-fma, r-cran-expsmooth, r-cran-lmtest, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-fpp_0.5-1.ca2004.1_all.deb
Size: 78748
MD5sum: 96e09899ad0d9c101df1f7338a93f22b
SHA1: 08267f79fbf53ea7d16030425f4e119601692fa7
SHA256: 3d1949efcf47e5e88ce9e838610f051d6a51e76b4b5e32ac51aa221664d5c322
SHA512: 7c7ae1e69e4e328c4b31ba065faf600db16d97a0f5385043303b2ffcf23c17b9c080c9343e272f43e67086d93096aa3eab6d856296417ccb05eca1e761f63a3c
Homepage: https://cran.r-project.org/package=fpp
Description: CRAN Package 'fpp' (Data for "Forecasting: principles and practice")
 All data sets required for the examples and exercises in the book
 "Forecasting: principles and practice" by Rob J Hyndman and George
 Athanasopoulos. All packages required to run the examples are also loaded.

Package: r-cran-fptdapprox
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fptdapprox_2.5-1.ca2004.1_all.deb
Size: 290904
MD5sum: a9e3bed4bee6680b1021ee82e06afd67
SHA1: 11c9bc9a75918ff82b64dedda0602acfb94e5f13
SHA256: 41e77862aaa970982a66640785b111bd175ba9c1546c451f52ba3a1fc8c866a6
SHA512: 39de5b2334ab34849a0f16dbcc225b8a2a267557932fbfe3680ddbb0d6a2e5c4aced1348387019b0dca0210c71252d2cfcb57bafb25f48852b6a18cdce89438a
Homepage: https://cran.r-project.org/package=fptdApprox
Description: CRAN Package 'fptdApprox' (Approximation of First-Passage-Time Densities for DiffusionProcesses)
 Efficient approximation of first passage time densities for diffusion
 processes based on the First Passage Time Location (FPTL) function.

Package: r-cran-fpv
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzynumbers, r-cran-fuzzynumbers.ext.2
Filename: pool/dists/focal/main/r-cran-fpv_0.5-1.ca2004.1_all.deb
Size: 26796
MD5sum: 999c6e7fcdf3a29adb1e46e6296dd415
SHA1: 2fe3950d509336086405fb4c8341fff02ea6145e
SHA256: 18ea087e294b551d2138c56148f8588efb43dc0c8829add176a91ed53d76f72b
SHA512: 2c0a1e2cb945ea097d83f46d7d36f44e8956be53ade28d592f89d34f7c9ee8e381e886012e23ffe43bb3f9d52da4cb90367c66a5a4d7b5eef3f50b22e51c3826
Homepage: https://cran.r-project.org/package=FPV
Description: CRAN Package 'FPV' (Testing Hypotheses via Fuzzy P-Value in Fuzzy Environment)
 The main goal of this package is drawing the membership function of the
 fuzzy p-value which is defined as a fuzzy set on the unit interval for three
 following problems: (1) testing crisp hypotheses based on fuzzy data, see
 Filzmoser and Viertl (2004) <doi:10.1007/s001840300269>, (2) testing fuzzy
 hypotheses based on crisp data, see Parchami et al. (2010)
 <doi:10.1007/s00362-008-0133-4>, and (3) testing fuzzy hypotheses based on
 fuzzy data, see Parchami et al. (2012) <doi:10.1007/s00362-010-0353-2>. In
 all cases, the fuzziness of data or / and the fuzziness of the boundary of
 null fuzzy hypothesis transported via the p-value function and causes to
 produce the fuzzy p-value. If the p-value is fuzzy, it is more appropriate
 to consider a fuzzy significance level for the problem. Therefore, the
 comparison of the fuzzy p-value and the fuzzy significance level is
 evaluated by a fuzzy ranking method in this package.

Package: r-cran-fqacalc
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fqadata, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fqacalc_1.1.1-1.ca2004.1_all.deb
Size: 585084
MD5sum: 7557426838d445eab08716521599332f
SHA1: 5fb21cd7b9dc50005a3d99ed5ff318ec8917fe02
SHA256: 2d19123b1bf63767f9846dee271d37c7bca890d1d823c89aff53be86619a0472
SHA512: 4e2392d4e61080a4d7c6584f2146b5e38f63b4303154bc6a93bbe9be3fcb2d757d7e782d41069b07d98fab0c9afe3cb25a2d842eb0ea85c078ec11a3b4982295
Homepage: https://cran.r-project.org/package=fqacalc
Description: CRAN Package 'fqacalc' (Calculate Floristic Quality Assessment Metrics)
 A collection of functions for calculating Floristic Quality Assessment (FQA)
 metrics using regional FQA databases that have been approved or approved
 with reservations as ecological planning models by the U.S. Army Corps of
 Engineers (USACE). For information on FQA see Spyreas (2019)
 <doi:10.1002/ecs2.2825>. These databases are stored in a sister R package,
 'fqadata'. Both packages were developed for the USACE by the U.S. Army
 Engineer Research and Development Center’s Environmental Laboratory.

Package: r-cran-fqadata
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3103
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fqadata_1.1.1-1.ca2004.1_all.deb
Size: 2862452
MD5sum: 08240e86cc5b6666077381876e6bbdf6
SHA1: 777bf998bf370ec565aa7b1c07e99f11c2df561c
SHA256: 53e5b1febd1ae6ad062691610d2c70971ab6d2df913d8dffefd9aff83adda511
SHA512: 151cc3fe204e3f7195ac06c1fd56ede96bbfd572084521d2cd6e5ad2ba038fdb4f5e7586c0c881ffe93d72e38ac430fcdf21f6cb7aa51f24c6f57a1a792b452a
Homepage: https://cran.r-project.org/package=fqadata
Description: CRAN Package 'fqadata' (Contains Regional Floristic Quality Assessment Databases)
 Contains regional Floristic Quality Assessment databases that have been
 approved or approved with reservations by the U.S. Army Corps of Engineers
 (USACE). Paired with the 'fqacalc' R package, these data sets allow for
 Floristic Quality Assessment metrics to be calculated. For information on
 FQA see Spyreas (2019) <doi:10.1002/ecs2.2825>. Both packages were developed
 for the USACE by the U.S.  Army Engineer Research and Development Center's
 Environmental Laboratory.

Package: r-cran-fqar
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 846
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fqar_0.5.5-1.ca2004.1_all.deb
Size: 698336
MD5sum: 4eead7c27395367f2cb5fa3a1a9f2c65
SHA1: 356ce2c8518bfce92178d5ec752ac99616c1aa1f
SHA256: 551a400ca690b675c5103e14b4c4c840a1a7a51bfcb12d33ddf7b63d951f704a
SHA512: 7876f9e33e8fec1b94aed9e62b71bb4ea283fb2a37f5734df3379094c6f9d9bdab2529ca258ff1f6f70be742352e44865d169f2d8e3ef20f0d20ef5327ef95be
Homepage: https://cran.r-project.org/package=fqar
Description: CRAN Package 'fqar' (Floristic Quality Assessment Tools for R)
 Tools for downloading and analyzing floristic quality assessment data.  See
 Freyman et al. (2015) <doi:10.1111/2041-210X.12491> for more information
 about floristic quality assessment and the associated database.

Package: r-cran-fr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-purrr, r-cran-vroom, r-cran-s7, r-cran-tibble, r-cran-tidyselect, r-cran-yaml, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-withr, r-cran-fs, r-cran-knitr, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-fr_0.5.2-1.ca2004.1_all.deb
Size: 104552
MD5sum: 363ce80ec3ba5b0f4119f590c65e333d
SHA1: ec39602e64a903873bbfc90b92ff9ef4182fc56b
SHA256: db8a5948ebaf1c253281bc4089e6aef3ff2770ba3e43f197fe24342ce5c3859f
SHA512: dc94ae06d39808480a9bdbe7583f9605d5fd475c51df1233a9f8ff8a32d746878213141b32b6f377ad18623a0b365c75484636c83b6c0a01a8ff04e6e6f38312
Homepage: https://cran.r-project.org/package=fr
Description: CRAN Package 'fr' (Frictionless Standards)
 A "tabular-data-resource"
 (<https://specs.frictionlessdata.io/tabular-data-resource/>) is a simple
 format to describe a singular tabular data resource such as a CSV file. It
 includes support both for metadata such as author and title and a schema to
 describe the data, for example the types of the fields/columns in the data.
 Create a tabular-data-resource by providing a data.frame and specifying
 metadata. Write and read tabular-data-resources to and from disk.

Package: r-cran-fracarma
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-fracarma_0.1.0-1.ca2004.1_all.deb
Size: 12468
MD5sum: d8093e8a005ad5462f6a2a4673bc2409
SHA1: fabe3002a7159c0298de1f8474d8e3234bd0eddd
SHA256: bcf897a341e26befc77cb329f446b7f14ba3597743919ca418eb51018a7c96d6
SHA512: f405c681b2d1ac8db645a099debcee00a147225e6828b113bd4fe9b7c6ef838d3b1f2b6d0cd270acbbb141c006b422358b29a2a61acc8a37e65afe82b5f44f39
Homepage: https://cran.r-project.org/package=fracARMA
Description: CRAN Package 'fracARMA' (Fractionally Integrated ARMA Model)
 Implements fractional differencing with Autoregressive Moving Average models
 to analyse long-memory time series data. Traditional ARIMA models typically
 use integer values for differencing, which are suitable for time series with
 short memory or anti-persistent behaviour. In contrast, the Fractional ARIMA
 model allows fractional differencing, enabling it to effectively capture
 long memory characteristics in time series data. The ‘fracARMA’ package is
 user-friendly and allows users to manually input the fractional differencing
 parameter, which can be obtained using various estimators such as the GPH
 estimator, Sperio method, or Wavelet method and many. Additionally, the
 package enables users to directly feed the time series data, AR order, MA
 order, fractional differencing parameter, and the proportion of training
 data as a split ratio, all in a single command. The package is based on the
 reference from the paper of Irshad and others (2024,
 <doi:10.22271/maths.2024.v9.i6b.1906>).

Package: r-cran-fracdist
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fracdist_0.1.1-1.ca2004.1_all.deb
Size: 1110220
MD5sum: 560fbcae96cc7cf6b5deabbf86303867
SHA1: d8c01f1a4d0e787b29b0af95bb3a4a362757bde3
SHA256: 9dbc6db168795bd39cb0709b55980685446930de995d04a3e7a7f721b4bef26b
SHA512: cb09d54fc7713950ade097b374cb442de82089e4d1bda475bc52d416823bef69b33806b500a7131e77883d1f6bf88076ea94b7ff439ea8d0d632e7a3adb2f725
Homepage: https://cran.r-project.org/package=fracdist
Description: CRAN Package 'fracdist' (Numerical CDFs for Fractional Unit Root and Cointegration Tests)
 Calculate numerical asymptotic distribution functions of likelihood ratio
 statistics for fractional unit root tests and tests of cointegration rank.
 For these distributions, the included functions calculate critical values
 and P-values used in unit root tests, cointegration tests, and rank tests in
 the Fractionally Cointegrated Vector Autoregression (FCVAR) model.  The
 functions implement procedures for tests described in the following
 articles: Johansen, S. and M. Ø. Nielsen (2012) <doi:10.3982/ECTA9299>,
 MacKinnon, J. G. and M. Ø. Nielsen (2014) <doi:10.1002/jae.2295>.

Package: r-cran-frackrigingr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-clustergeneration
Suggests: r-cran-knitr, r-cran-gstat, r-cran-sp, r-cran-rmarkdown, r-cran-raster
Filename: pool/dists/focal/main/r-cran-frackrigingr_1.0.0-1.ca2004.1_all.deb
Size: 24060
MD5sum: d1be97b4d5fdfc288018978977ae1f99
SHA1: ad44fe21e322e40988ffb1ba38c6d802c557d430
SHA256: 0de82371138d3ee3c736c2eba6d0e98a4e4ec02981d84257c80211bfda000c44
SHA512: 917aa72383ecf7d2510a4fe4ca6af8804f5f57dec606c2049ef6e974c16ec0f092e35a5ea5abaa72137d38f7a075cd80cde6edafa44f0ba8aaa305a32ae3c4c7
Homepage: https://cran.r-project.org/package=FracKrigingR
Description: CRAN Package 'FracKrigingR' (Spatial Multivariate Data Modeling)
 Aim is to provide fractional Brownian vector field generation algorithm,
 Hurst parameter estimation method and fractional kriging model for
 multivariate data modeling.

Package: r-cran-fracprolif
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emg, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-fracprolif_1.0.7-1.ca2004.1_all.deb
Size: 164652
MD5sum: 5bbf81edf844d27b0224a735cc7a70cb
SHA1: dc192d4cf4fd82f29691cc3e3e7025b3db7dc918
SHA256: 910a8b8066d5c07329b9afdd47232a40fdbf2259bb5aaabb9976e11a560df438
SHA512: 229a9ebb65ece60dd20440f4ce67452cbaaf8fca98dc8ec896d150990d23ee7b02f8bb00bdacaf410155bb313f49cf223cab4bcce5866a0c4bb359d9ff1b60c6
Homepage: https://cran.r-project.org/package=fracprolif
Description: CRAN Package 'fracprolif' (Fraction Proliferation via a Quiescent Growth Model)
 Functions for fitting data to a quiescent growth model, i.e. a growth
 process that involves members of the population who stop dividing or
 propagating.

Package: r-cran-fractaldim
Architecture: all
Version: 0.8-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind
Suggests: r-cran-wavelets, r-cran-pcapp, r-cran-randomfields, r-cran-snowft
Filename: pool/dists/focal/main/r-cran-fractaldim_0.8-5-1.ca2004.1_all.deb
Size: 133628
MD5sum: d82b731b4668db7b9df4e4efaeb700b4
SHA1: e6f5d67835a95d099dfb9717aa77ffe4db89542f
SHA256: 507500c09f93651b4370bc285e5027a928fed786e3f729d2230c69ddda84fbbd
SHA512: 5b8760603a21bf0ebe0b2002089b113f282aef4f718668f70c916a3f3a2a3c60afc17cc3c92a4a147a5f0a157fe9721e53b57f96973f856ac82f2a32e7e1a520
Homepage: https://cran.r-project.org/package=fractaldim
Description: CRAN Package 'fractaldim' (Estimation of Fractal Dimensions)
 Implements various methods for estimating fractal dimension of time series
 and 2-dimensional data <doi:10.1214/11-STS370>.

Package: r-cran-fractalforest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-stringi, r-cran-stringr, r-cran-magrittr, r-cran-ggplot2, r-cran-cowplot, r-cran-sf, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-forestmangr
Filename: pool/dists/focal/main/r-cran-fractalforest_1.0.0-1.ca2004.1_all.deb
Size: 259628
MD5sum: 1880ad5be91c2cd900c9024e59fdbfdb
SHA1: 390f50aaa825422617c23b886747a2af8b82393c
SHA256: d0b7402b43b036ce8ac27e1e53bfc8276ff8c6824146b77d13b72ddbb7d52778
SHA512: 8cac620eea752d2a94576327744cb9e3293ea1ecf1f1c9451e6c54bd9cd588fb06bba5e9b4b37d02ca3759c0f952ffc7a6aeb9bc7b797e14b9e65eae8a27f46b
Homepage: https://cran.r-project.org/package=fractalforest
Description: CRAN Package 'fractalforest' (Simulate Fractal Trees and Forests)
 Create and visualize fractal trees and fractal forests, based on the
 Lindenmayer system (L-system). For more details see Lindenmayer (1968a)
 <doi:10.1016/0022-5193(68)90079-9> and Lindenmayer (1968b)
 <doi:10.1016/0022-5193(68)90080-5>.

Package: r-cran-fractalparameterestimation
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fractalparameterestimation_1.1.2-1.ca2004.1_all.deb
Size: 54908
MD5sum: ba053e08d8dc62c3880ab46aa0cf770a
SHA1: daa0c56238ee463c546b939567f1ec254096118c
SHA256: 4d195930732cd0769cb83376c9099a22e3122ef0396bb238f2a657c7a1bcdf6a
SHA512: 32920f3778dffce25091d1bda84d004a1c8d834259a0f8a5b0632dbc387563ef7ae6d3edd19088deb37dd1e2c9069fed8706451ec1a69779dbff87fb6f00ef5d
Homepage: https://cran.r-project.org/package=FractalParameterEstimation
Description: CRAN Package 'FractalParameterEstimation' (Simulation and Parameter Estimation of Randomized SierpinskiCarpets using the p-p-p-q-Model)
 The parameters p and q are estimated with the aid of a randomized Sierpinski
 Carpet which is built on a [p-p-p-q]-model. Thereby, for three times a
 simulation with a p-value and once with a q-value is assumed. Hence, these
 parameters are estimated and displayed. Moreover, functions for simulating
 random Sierpinski-Carpets with constant and variable probabilities are
 included. For more details on the method please see Hermann et al. (2015)
 <doi:10.1002/sim.6497>.

Package: r-cran-fractd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 996
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fractd_0.1.0-1.ca2004.1_all.deb
Size: 185460
MD5sum: 5e84a9a94430099ac20fb272acb8a7be
SHA1: 7932b396a57f816d38dd80a69bec0a462485ca55
SHA256: 4bc8b48909316b06b2ec9c55b48b8ce4b40bfe7024c198e966c88b7f90b01bfb
SHA512: fb43aa36f16dcbed7669d51a4882b6fcae3c6c5587f84664651735012f7ee90bb420d289f4a8d4b29014c8d9b628f129f381a8ce7ba7f788267a90cc079d96a8
Homepage: https://cran.r-project.org/package=fractD
Description: CRAN Package 'fractD' (Estimation of Fractal Dimension of a Black Area in 2D and 3D(Slices) Images)
 Estimate the of fractal dimension of a black area in 2D and 3D (slices)
 images using the box-counting method. See Klinkenberg B. (1994)
 <doi:10.1007/BF02065874>.

Package: r-cran-fraction
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fraction_1.1.1-1.ca2004.1_all.deb
Size: 21148
MD5sum: f8fa814dceae1b99d644f5d6a94bd8db
SHA1: 31a114c710c36d2b5bc7b2716f1dcc163e762109
SHA256: 91ef4b64105d03b1dcf111e4b0dc2ee657346ac1a2d9abd7428bcc6688122ff0
SHA512: e26192f296c396367f2746deffe9b2408b8e76286d4acb597f6f07f7afe82c71a4838608f9bc6d34295f19665e3ea9d229bbf5d759730f1faa39b469c7b38434
Homepage: https://cran.r-project.org/package=FRACTION
Description: CRAN Package 'FRACTION' (Numeric Number into Fraction)
 Turn numeric,data.frame,matrix into fraction form.

Package: r-cran-fragility
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-metafor, r-cran-netmeta, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-fragility_1.6.1-1.ca2004.1_all.deb
Size: 400920
MD5sum: bab6311567be749963a80c2f59cc828d
SHA1: b24eb476e925856a108cdcea512ad36a90738b90
SHA256: 6ed124c75f7344d3f4a93facd98bcd8cb58025ee8a5d84b39bff3f62704243fb
SHA512: 2261e585ceaa7cfaf2e9d13c1f82d4c82bd551e8d1a8acc089984479b268d88607f777e978d242ac42f5df987396856d4751d471e25e75b7ae8910e6784f8a59
Homepage: https://cran.r-project.org/package=fragility
Description: CRAN Package 'fragility' (Assessing and Visualizing Fragility of Clinical Results withBinary Outcomes)
 A collection of user-friendly functions for assessing and visualizing
 fragility of individual studies (Walsh et al., 2014
 <doi:10.1016/j.jclinepi.2013.10.019>; Lin, 2021 <doi:10.1111/jep.13428>),
 conventional pairwise meta-analyses (Atal et al., 2019
 <doi:10.1016/j.jclinepi.2019.03.012>), and network meta-analyses of multiple
 treatments with binary outcomes (Xing et al., 2020
 <doi:10.1016/j.jclinepi.2020.07.003>). The included functions are designed
 to: 1) calculate the fragility index (i.e., the minimal event status
 modifications that can alter the significance or non-significance of the
 original result) and fragility quotient (i.e., fragility index divided by
 sample size) at a specific significance level; 2) give the cases of event
 status modifications for altering the result's significance or
 non-significance and visualize these cases; 3) visualize the trend of
 statistical significance as event status is modified; 4) efficiently derive
 fragility indexes and fragility quotients at multiple significance levels,
 and visualize the relationship between these fragility measures against the
 significance levels; and 5) calculate fragility indexes and fragility
 quotients of multiple datasets (e.g., a collection of clinical trials or
 meta-analyses) and produce plots of their overall distributions. The outputs
 from these functions may inform the robustness of clinical results in terms
 of statistical significance and aid the interpretation of fragility
 measures. The usage of this package is illustrated in Lin et al. (2023
 <doi:10.1016/j.ajog.2022.08.053>) and detailed in Lin and Chu (2022
 <doi:10.1371/journal.pone.0268754>).

Package: r-cran-fragman
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1808
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fragman_1.0.9-1.ca2004.1_all.deb
Size: 1811480
MD5sum: 2bdd186f34718a23cad6031eaff0b328
SHA1: 721e709bf7dea785ff69c9cbf4b23844c4102933
SHA256: 2b13ef25926f006d077645c61cea269a6f8c7de4d436392bf1b606e28d0b7408
SHA512: e21bd1729b9171d2a04665e1b30813e2698524fe07e4fa04494e1769056bd4d4ceec2f48cbd3ca6c8f05e58f115d9e6c03b3a4a689d084e20c2ba284693a08cc
Homepage: https://cran.r-project.org/package=Fragman
Description: CRAN Package 'Fragman' (Fragment Analysis in R)
 Performs fragment analysis using genetic data coming from capillary
 electrophoresis machines. These are files with FSA extension which stands
 for FASTA-type file, and .txt files from Beckman CEQ 8000 system, both
 contain DNA fragment intensities read by machinery. In addition to
 visualization, it performs automatic scoring of SSRs (Sample Sequence
 Repeats; a type of genetic marker very common across the genome) and other
 type of PCR markers (standing for Polymerase Chain Reaction) in biparental
 populations such as F1, F2, BC (backcross), and diversity panels (collection
 of genetic diversity).

Package: r-cran-frailtyhl
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-survival, r-cran-cmprsk
Filename: pool/dists/focal/main/r-cran-frailtyhl_2.3-1.ca2004.1_all.deb
Size: 373788
MD5sum: 32d3050dd33885d11cb939a6d55d4701
SHA1: d94362ea74cbb7e5cc358fad5250d2dad2f3681d
SHA256: 9e87a68c987314bfd8b1072bfe9318ef55da4a62805fe13a38550fae8373e992
SHA512: f78c7c82fc421e3011690d1bb976f2f1b881e3fd0b8433042c89f01636a8b6af006b8a45dd222fbe51f841672d395ea02a75661464e31087b416ff0b60803501
Homepage: https://cran.r-project.org/package=frailtyHL
Description: CRAN Package 'frailtyHL' (Frailty Models via Hierarchical Likelihood)
 Implements the h-likelihood estimation procedures for general frailty models
 including competing-risk models and joint models.

Package: r-cran-frair
Architecture: all
Version: 0.5.203-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-lamw, r-cran-boot, r-cran-rcppparallel
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frair_0.5.203-1.ca2004.1_all.deb
Size: 199084
MD5sum: dbdac7ec6f3c3412a92fac96af713731
SHA1: 64708822f81b80fc85bd3b761c94be6d75f4a1b0
SHA256: 1efb340aa005b6997ad60228c112261894c5efbad311aeb91465d02bd1ad8355
SHA512: 7393274e71e302696b7e894598a7c5ce8f0560080b589ce27346d24b7a76ee9c193997a556364b832be727ba6ed4607264b1043ac09c3e76840929cd0f4e0b7d
Homepage: https://cran.r-project.org/package=frair
Description: CRAN Package 'frair' (Tools for Functional Response Analysis)
 Tools to support sensible statistics for functional response analysis.

Package: r-cran-framecleaner
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-purrr, r-cran-janitor, r-cran-rlang, r-cran-lubridate, r-cran-magrittr, r-cran-tibble, r-cran-rstudioapi, r-cran-forcats, r-cran-bit64, r-cran-rio, r-cran-readr, r-cran-vroom, r-cran-fs, r-cran-rlist, r-cran-fastdummies
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-badger, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-framecleaner_0.2.1-1.ca2004.1_all.deb
Size: 108424
MD5sum: 43cc3bf5ba0482e2e6d9352dbbe3d7e7
SHA1: 3c3071d61d7795ef835e39dbd603166e4e3013d4
SHA256: ec5c9d1e61c2b4fd0975a789e6a974d355fd37ec12ff0aaf726a8f57e12052b3
SHA512: 1d23cf257c201ceb9d531d693a2c33f6fc65f2250edd5f41980866ac8733522104e6adc96be9ab5b111a9f8edea7f0df9cb60d2448542f9690df0f1325fe4f99
Homepage: https://cran.r-project.org/package=framecleaner
Description: CRAN Package 'framecleaner' (Clean Data Frames)
 Provides a friendly interface for modifying data frames with a sequence of
 piped commands built upon the 'tidyverse' Wickham et al., (2019)
 <doi:10.21105/joss.01686> . The majority of commands wrap 'dplyr' mutate
 statements in a convenient way to concisely solve common issues that arise
 when tidying small to medium data sets. Includes smart defaults and allows
 flexible selection of columns via 'tidyselect'.

Package: r-cran-frames2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1057
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sampling, r-cran-mass, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-frames2_0.2.1-1.ca2004.1_all.deb
Size: 960196
MD5sum: 03c05fabf2afa98e0026d4962dded0f1
SHA1: 5a859c56192ac83a6f12ff4c498ad26c107dba7a
SHA256: 8c6fbf5913bee1239fd41d383a252ea239cfa45d31f0c87324ab6813baa8518b
SHA512: 6cc8c97531e68b2c69ffdebaa0b39fae682c417dba7267aec4e8bd2d8d347410fc99d816c2344650a2e2823b3d20d98870ed881a51ad3fbe295ad2da5ae0bb4e
Homepage: https://cran.r-project.org/package=Frames2
Description: CRAN Package 'Frames2' (Estimation in Dual Frame Surveys)
 Point and interval estimation in dual frame surveys. In contrast to classic
 sampling theory, where only one sampling frame is considered, dual frame
 methodology assumes that there are two frames available for sampling and
 that, overall, they cover the entire target population. Then, two
 probability samples (one from each frame) are drawn and information
 collected is suitably combined to get estimators of the parameter of
 interest.

Package: r-cran-franc
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 778
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-franc_1.1.4-1.ca2004.1_all.deb
Size: 483108
MD5sum: 382791c6843fb8da179a2d92843b8266
SHA1: 3d037524fb5b9a918b3f41fb8335884a0b32153a
SHA256: 5968f659c8d8a7ef71d30348d44c279237e2dcb23317a7d2f091b44387b6691d
SHA512: 3de62216f45eba87a376bb5b17f1c237d9ed2420400cf4d39eba2cf95ada8b0ffa21db73461f13eaef3e6a500514b6b93dc2122e2d8935f59e202a6e56201de0
Homepage: https://cran.r-project.org/package=franc
Description: CRAN Package 'franc' (Detect the Language of Text)
 With no external dependencies and support for 335 languages; all languages
 spoken by more than one million speakers. 'Franc' is a port of the
 'JavaScript' project of the same name, see
 <https://github.com/wooorm/franc>.

Package: r-cran-frapo
Architecture: all
Version: 0.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cccp, r-cran-rglpk, r-cran-timeseries
Filename: pool/dists/focal/main/r-cran-frapo_0.4-1-1.ca2004.1_all.deb
Size: 3113680
MD5sum: be62dc40ff59f9840819eed98803a5a4
SHA1: f63a8b48538435d0cd9b6e13a2fea64ce774f2a5
SHA256: 6b688365149b3b445c7bfeab8790ebf7707dbc9da388d8c32000ba4bfbb254f9
SHA512: c525dfeb731a8cd2b0a62ac480b77c2694880cf3a455686e6723df21db0debfde9facbdb03635a633a596cb6a674b1b63025ee0e434d1bc2fdedfd56c9226008
Homepage: https://cran.r-project.org/package=FRAPO
Description: CRAN Package 'FRAPO' (Financial Risk Modelling and Portfolio Optimisation with R)
 Accompanying package of the book 'Financial Risk Modelling and Portfolio
 Optimisation with R', second edition. The data sets used in the book are
 contained in this package.

Package: r-cran-frapp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2098
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-shiny, r-cran-gplots
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frapp_1.0.0-1.ca2004.1_all.deb
Size: 1795784
MD5sum: 9a5bbf1f4fd1bdaf6d4e5bebd2eeefb1
SHA1: 7517f72cbd54eae52b21aee8c10f234846a5430c
SHA256: cba5cf189542ffcdafa7fc35835265e9a106d8de509a9d78a34c60987a8bbd35
SHA512: 5d20ac23bb66b08ccee45dd6fa80015d5d392ef3f66d7034de26d739a0f17b4821c8334a0b54414fbcbd188293ce573ae0bc03d14352d1d6898232580e11f686
Homepage: https://cran.r-project.org/package=FRApp
Description: CRAN Package 'FRApp' (FRAP Data Analysis Using Nonlinear Mixed Effect Models with'shiny')
 Analysis of Fluorescence Recovery After Photobleaching (FRAP) experiments
 using nonlinear mixed-effects regression models and analysis of the results.
 'FRApp' is not limited to the analysis of FRAP experiments only. Any
 nonlinear mixed-effects models with an asymptotic exponential functional
 relationship to hierarchical data in various domains can be fitted.  The
 analysis of data available in the package is presented in Di Credico, G.,
 Pelucchi, S., Pauli, F. et al. (2025) <doi:10.1038/s41598-025-87154-w>.

Package: r-cran-frapplot
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-frapplot_0.1.3-1.ca2004.1_all.deb
Size: 26124
MD5sum: 27439127d811a7d5abacaa60fc2e393f
SHA1: a4c8aebbcb1f3fb8914e34bc61c05e1605404372
SHA256: 43fb0903e3bf803d72b3951a8f02e336999281721030d9e490bc9bc72a3f0873
SHA512: 25c92c205d17bab51be23492bf04152a65f303615db3053524ec9ac340d7364174029152090d19d0a19374b5290446c7fa4d49de42b630b6577a34efcb17139a
Homepage: https://cran.r-project.org/package=frapplot
Description: CRAN Package 'frapplot' (Automatic Data Processing and Visualization for FRAP)
 Automatically process Fluorescence Recovery After Photobleaching (FRAP) data
 and generate consistent, publishable figures. Note: this package does not
 replace 'ImageJ' (or its equivalence) in raw image quantification. Some
 references about the methods: Sprague, Brian L. (2004)
 <doi:10.1529/biophysj.103.026765>; Day, Charles A. (2012)
 <doi:10.1002/0471142956.cy0219s62>.

Package: r-cran-frb
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rrcov, r-cran-corpcor
Suggests: r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-frb_2.0-1-1.ca2004.1_all.deb
Size: 617888
MD5sum: 6fe453102d018ede0bb4814067abd197
SHA1: cff41768344ed5288676252a89c46b9b8bb16931
SHA256: f310e54958c9fbc869ef2cad8dce50be2551770567d699bd956f8f0fceec9ec0
SHA512: 28a4bf42ba4121d45a828730f319d7d2ca661d19d73fa6766f00830469321c255fb3726f99d11d6411c9ad068957ae0e884038951e305cfb96975e719e28ae42
Homepage: https://cran.r-project.org/package=FRB
Description: CRAN Package 'FRB' (Fast and Robust Bootstrap)
 Perform robust inference based on applying Fast and Robust Bootstrap on
 robust estimators (Van Aelst and Willems (2013)
 <doi:10.18637/jss.v053.i03>).  This method constitutes an alternative to
 ordinary bootstrap or asymptotic inference.  procedures when using robust
 estimators such as S-, MM- or GS-estimators.  The available methods are
 multivariate regression, principal component analysis and one-sample and
 two-sample Hotelling tests. It provides both the robust point estimates and
 uncertainty measures based on the fast and robust bootstrap.

Package: r-cran-frbinom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frbinom_1.0.0-1.ca2004.1_all.deb
Size: 42428
MD5sum: b441e2244a415a5145f87cbf2d826691
SHA1: e48b89c68541bf3661c630935e37541a0f1b5b8e
SHA256: 891c07eae49d6ebbdded05d9f73a96462f26c0c722bf7613efb7b5d0700cd283
SHA512: 429f6d9c846e997ce7b0da82cb76f7317f43e0c8790443da5be47bc80d8334e97443c092a36f90c5f13840b8923dd3085525ac588e61d785bbf6cc780e52f884
Homepage: https://cran.r-project.org/package=frbinom
Description: CRAN Package 'frbinom' (Fractional Binomial Distributions)
 Generating fractional binomial random variables and computing density,
 cumulative distribution, and quantiles of fractional binomial distributions.
 (Lee, J. (2023) <arXiv:2209.01516>.)

Package: r-cran-frbs
Architecture: all
Version: 3.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1602
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-class, r-cran-e1071, r-cran-xml, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-frbs_3.2-0-1.ca2004.1_all.deb
Size: 1299580
MD5sum: 26335c24b03ac479b4b166b9ff699dd5
SHA1: 311aeb0f316c77216c95fdd4a89ece155797b696
SHA256: 154764ed1437b2b1ddcd52caa00749b216feed7e3128fd88f57ecf8d3e7a1f43
SHA512: 1f2052900b7ef499ffaaae2153ad43cf2173d1b2a1fb53c08e5928846ec6c77a0f2c8714a9d931079fbbfe4ad4a4f66174735bc3e7f606b8efc91eaf487afa17
Homepage: https://cran.r-project.org/package=frbs
Description: CRAN Package 'frbs' (Fuzzy Rule-Based Systems for Classification and Regression Tasks)
 An implementation of various learning algorithms based on fuzzy rule-based
 systems (FRBSs) for dealing with classification and regression tasks.
 Moreover, it allows to construct an FRBS model defined by human experts.
 FRBSs are based on the concept of fuzzy sets, proposed by Zadeh in 1965,
 which aims at representing the reasoning of human experts in a set of
 IF-THEN rules, to handle real-life problems in, e.g., control, prediction
 and inference, data mining, bioinformatics data processing, and robotics.
 FRBSs are also known as fuzzy inference systems and fuzzy models. During the
 modeling of an FRBS, there are two important steps that need to be
 conducted: structure identification and parameter estimation. Nowadays,
 there exists a wide variety of algorithms to generate fuzzy IF-THEN rules
 automatically from numerical data, covering both steps. Approaches that have
 been used in the past are, e.g., heuristic procedures, neuro-fuzzy
 techniques, clustering methods, genetic algorithms, squares methods, etc.
 Furthermore, in this version we provide a universal framework named
 'frbsPMML', which is adopted from the Predictive Model Markup Language
 (PMML), for representing FRBS models. PMML is an XML-based language to
 provide a standard for describing models produced by data mining and machine
 learning algorithms. Therefore, we are allowed to export and import an FRBS
 model to/from 'frbsPMML'.  Finally, this package aims to implement the most
 widely used standard procedures, thus offering a standard package for FRBS
 modeling to the R community.

Package: r-cran-frcc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-calibrate, r-cran-ccp, r-cran-corpcor, r-cran-mass
Filename: pool/dists/focal/main/r-cran-frcc_1.1.0-1.ca2004.1_all.deb
Size: 133392
MD5sum: f587122f91c44fac993f98ca4c2048e2
SHA1: 98ad3e36899df7b978554bbdfbd0221f5d11d6d9
SHA256: cd32863b9bcd60c96367aa8058d80cbb5f5229f7db151b1210e88b4c0ca5dfc8
SHA512: cae940f5fb621c9005dd707e9759f8b5714ca08236334752be20c372b65d52d910cbc3bd794419cf2af5b93aaa5c6364c3a892ada4445d8ab62ae35ab13817f0
Homepage: https://cran.r-project.org/package=FRCC
Description: CRAN Package 'FRCC' (Fast Regularized Canonical Correlation Analysis)
 Contains the core functions associated with Fast Regularized Canonical
 Correlation Analysis. Please see the following for details: Raul Cruz-Cano,
 Mei-Ling Ting Lee, Fast regularized canonical correlation analysis,
 Computational Statistics & Data Analysis, Volume 70, 2014, Pages 88-100,
 ISSN 0167-9473 <doi:10.1016/j.csda.2013.09.020>.

Package: r-cran-frechet
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-corrplot, r-cran-e1071, r-cran-fdadensity, r-cran-fdapace, r-cran-matrix, r-cran-pracma, r-cran-quadprog, r-cran-osqp, r-cran-trust
Suggests: r-cran-rcpp, r-cran-testthat, r-cran-igraph, r-cran-mpoly, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-frechet_0.3.0-1.ca2004.1_all.deb
Size: 432768
MD5sum: 8518d014a32bcc967267a1a7eaf9dd7f
SHA1: c4278043ed3fcee463568d98e9ccce91d971892b
SHA256: 1b051394ca0020d277f83fa3d8f27a6e6d8d3930448f8497955e03ea86b90133
SHA512: 077de2b83dcfdba34e2b35bbd0cd78f4e6b04935c4aca0f6c87abc455f6fb911ba9097c356d2c5d269b1ad317cd4428fe2ae10f3d94cc7392d8bf1b91160340e
Homepage: https://cran.r-project.org/package=frechet
Description: CRAN Package 'frechet' (Statistical Analysis for Random Objects and Non-Euclidean Data)
 Provides implementation of statistical methods for random objects lying in
 various metric spaces, which are not necessarily linear spaces.  The core of
 this package is Fréchet regression for random objects with Euclidean
 predictors, which allows one to perform regression analysis for
 non-Euclidean responses under some mild conditions.  Examples include
 distributions in 2-Wasserstein space, covariance matrices endowed with power
 metric (with Frobenius metric as a special case), Cholesky and log-Cholesky
 metrics, spherical data.  References: Petersen, A., & Müller, H.-G. (2019)
 <doi:10.1214/17-AOS1624>.

Package: r-cran-fredr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 706
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-fredr_2.1.0-1.ca2004.1_all.deb
Size: 331676
MD5sum: b94f1e0809365fe2adfc1709fde4aa6b
SHA1: fe2e08f7ea731d37ab1da576ca07cb852b20c14d
SHA256: 12b65dc84e0f2d1f8b8a74c33efeb079388234c861b2c7b81a1f95397ee3667d
SHA512: f783d58ab81d72e6dd2b4ac843c6b96e88959fea513a8385612f11a93d328432c14e17a9911263e50b07e27c0b1ea5675dac0dee77879152ad731dfa29ca8f5b
Homepage: https://cran.r-project.org/package=fredr
Description: CRAN Package 'fredr' (An R Client for the 'FRED' API)
 An R client for the 'Federal Reserve Economic Data' ('FRED') API
 <https://research.stlouisfed.org/docs/api/>.  Functions to retrieve economic
 time series and other data from 'FRED'.

Package: r-cran-freecurrencyapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-freecurrencyapi_0.1.0-1.ca2004.1_all.deb
Size: 25392
MD5sum: 2c010a660e367ab4d4b68e49f631e7cf
SHA1: 36f0bd11b3836a59c9adc2419530ab6e36191a26
SHA256: 352a94e92aa9bc24999b7b59c045921d02e8e5435f8a1fe1dd5f065ef58186df
SHA512: 52e55a2add5a1547d3352c85db5b1554233b783a2889a86d35049703f8d6e8d39be1a7b9d20066ce08b8f010d3aa0ddbcc3fa9e3504560b434a568ace0eb567f
Homepage: https://cran.r-project.org/package=freecurrencyapi
Description: CRAN Package 'freecurrencyapi' (Client for the 'freecurrencyapi.com' Currency Conversion API)
 An R client for the 'freecurrencyapi.com' currency conversion API. The API
 requires registration of an API key. You can find the full API documentation
 at <https://freecurrencyapi.com/docs> .

Package: r-cran-freedom
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 975
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-freedom_1.0.1-1.ca2004.1_all.deb
Size: 316552
MD5sum: 5375098eeb8b48074a17366c2bf900c7
SHA1: 6500b61ae82cd29062e69b620a3bc392ce9ce2ed
SHA256: 1f35f04bcc0b5eec923030d4f9e8300073712823ef8c2d7a452e79dc879e4cfa
SHA512: 71ff4e82a844a654d533cbb3e59e8af6f2574f558f093aa34f3fe441cfab756a00ebe522ae4b30985ead399e3f6cb7f36d5f8e1508527b44aeec52b87d822bae
Homepage: https://cran.r-project.org/package=freedom
Description: CRAN Package 'freedom' (Demonstration of Disease Freedom (DDF))
 Implements the formulae required to calculate freedom from disease according
 to Cameron and Baldock (1998) <doi:10.1016/S0167-5877(97)00081-0>. These are
 the methods used at the Swedish national veterinary institute (SVA) to
 evaluate the performance of our nation animal disease surveillance
 programmes.

Package: r-cran-freegroup
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-freealg, r-cran-magic, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-permutations, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-freegroup_1.2-0-1.ca2004.1_all.deb
Size: 314500
MD5sum: 7aca4d06c689ef309e914313baa81d4c
SHA1: e2b6a80d44d7a823695e06903791b5cc5f2412fa
SHA256: 5c3b826bd34acb086a07172dde1d14f502eed83a7aea157ac354710327d55e91
SHA512: 5cb0ee115781a5c8625b89a2495dc5c3742ab6c05eb6de6cad9e6f6a3680931b08c53ba879f67085d8b1cd54575df559f19b5e8a24dc6275baada91dd303794a
Homepage: https://cran.r-project.org/package=freegroup
Description: CRAN Package 'freegroup' (The Free Group)
 The free group in R; juxtaposition is represented by a plus.  Includes
 inversion, multiplication by a scalar, group-theoretic power operation, and
 Tietze forms.  To cite the package in publications please use Hankin (2022)
 <doi:10.48550/ARXIV.2212.05883>.

Package: r-cran-freesortr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-smacof, r-cran-vegan, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-freesortr_1.3-1.ca2004.1_all.deb
Size: 219056
MD5sum: 68ee6d238c9febe512c215f1bbe0286f
SHA1: e25cb2f21de7fbd9603fe54664b43aa349b7bb47
SHA256: f9e25c2751c3220529b49ea7b4d3819b05f34757baf3a7c3561208df06a4c772
SHA512: cc0675f2b9de2664065eedf607a8c158e0e0307737593bd3b037f0109d5faed00267d96f0af9f12649a23b08e1c0b5a1d9714b6431080e5c24402d99a9ef193a
Homepage: https://cran.r-project.org/package=FreeSortR
Description: CRAN Package 'FreeSortR' (Free Sorting Data Analysis)
 Provides tools for describing and analysing free sorting data. Main methods
 are computation of consensus partition and factorial analysis of the
 dissimilarity matrix between stimuli (using multidimensional scaling
 approach).

Package: r-cran-freesurfer
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 896
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-neurobase, r-cran-r.utils, r-cran-reshape2
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-oro.nifti, r-cran-rgl, r-cran-rmarkdown, r-cran-pander, r-cran-fslr
Filename: pool/dists/focal/main/r-cran-freesurfer_1.8.1-1.ca2004.1_all.deb
Size: 642648
MD5sum: b35532f6b087dfdd8d49e0b795c063ae
SHA1: 586d096c8e5ce90c709e8c8386252b3ede411640
SHA256: 9ed690298efa717f26d57e1c37a3881aea061868dd16b0d12e0c7385ae4bafc4
SHA512: 7c9abb06ab7c56ba611e40bbaedcd00d75e81778b099338ac88a7d470de86a0fa17c3851de88119ed37a6237ca27d29ae46a1e925d8e0c767554e86ad1597563
Homepage: https://cran.r-project.org/package=freesurfer
Description: CRAN Package 'freesurfer' (Wrapper Functions for 'Freesurfer')
 Wrapper functions that interface with 'Freesurfer'
 <https://surfer.nmr.mgh.harvard.edu/>, a powerful and commonly-used
 'neuroimaging' software, using system commands. The goal is to be able to
 interface with 'Freesurfer' completely in R, where you pass R objects of
 class 'nifti', implemented by package 'oro.nifti', and the function executes
 an 'Freesurfer' command and returns an R object of class 'nifti' or
 necessary output.

Package: r-cran-freesurferformats
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4439
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pkgfilecache, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-curl, r-cran-testthat, r-cran-oro.nifti, r-cran-gifti, r-cran-cifti
Filename: pool/dists/focal/main/r-cran-freesurferformats_0.1.18-1.ca2004.1_all.deb
Size: 3918168
MD5sum: 0fb90e1f670f6f8b45b3b57352d9b5aa
SHA1: e9ff023fce7249c3e9598f3d07518be54e6ffb47
SHA256: 6d5c5eb5313b1ae54b87168a0045a5147d735ab15397e48cd0dc951cc7fd91ff
SHA512: 866f43a21fdf70b0db65283d64ef6e7ec33a8189c81239dcf0448776e0be7712a9908561052d75c81488638f96f5b4ef4f4750299021b5b18ee388af8d6ac713
Homepage: https://cran.r-project.org/package=freesurferformats
Description: CRAN Package 'freesurferformats' (Read and Write 'FreeSurfer' Neuroimaging File Formats)
 Provides functions to read and write neuroimaging data in various file
 formats, with a focus on 'FreeSurfer' <http://freesurfer.net/> formats. This
 includes, but is not limited to, the following file formats: 1) MGH/MGZ
 format files, which can contain multi-dimensional images or other data.
 Typically they contain time-series of three-dimensional brain scans acquired
 by magnetic resonance imaging (MRI). They can also contain vertex-wise
 measures of surface morphometry data. The MGH format is named after the
 Massachusetts General Hospital, and the MGZ format is a compressed version
 of the same format. 2) 'FreeSurfer' morphometry data files in binary 'curv'
 format. These contain vertex-wise surface measures, i.e., one scalar value
 for each vertex of a brain surface mesh. These are typically values like the
 cortical thickness or brain surface area at each vertex. 3) Annotation file
 format. This contains a brain surface parcellation derived from a cortical
 atlas. 4) Surface file format. Contains a brain surface mesh, given by a
 list of vertices and a list of faces.

Package: r-cran-freetree
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmertree, r-cran-pre, r-cran-wgcna, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-freetree_0.1.0-1.ca2004.1_all.deb
Size: 356000
MD5sum: dc818fb8c307d0d4ee0bde5f45ed44f7
SHA1: d7686a918c0b392ffcb1377d206e6df86ae0a7f4
SHA256: 00c26e5b6925d8ec90092b97c27421bb6cf73775c5c7fedce168748825d3f61b
SHA512: a3084470471be2e7844223dca4bd5e49e45bb67c419ba676c7e2bc4bbc8193ee02526539ce464811e529d026cc548f2fa0badb4f5f96beac67bace090d50baf4
Homepage: https://cran.r-project.org/package=FREEtree
Description: CRAN Package 'FREEtree' (Tree Method for High Dimensional Longitudinal Data)
 This tree-based method deals with high dimensional longitudinal data with
 correlated features through the use of a piecewise random effect model. FREE
 tree also exploits the network structure of the features, by first
 clustering them using Weighted Gene Co-expression Network Analysis
 ('WGCNA'). It then conducts a screening step within each cluster of features
 and a selecting step among the surviving features, which provides a
 relatively unbiased way to do feature selection. By using dominant principle
 components as regression variables at each leaf and the original features as
 splitting variables at splitting nodes, FREE tree delivers easily
 interpretable results while improving computational efficiency.

Package: r-cran-freewall
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1754
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jquerylib
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-freewall_1.0.0-1.ca2004.1_all.deb
Size: 1697952
MD5sum: 4e25ebea8fac0ef3af0b1bbbefd6ac7c
SHA1: 4d8ee965ee6d1b029fbd18a731bbb5c244e6abb7
SHA256: 58d7c84b1ad5afb2da69a03cdc7eeaf345fb50974c590500955e4172917a4614
SHA512: 1038da143c6f3f954cce29b0182651d14074d5810f43c6c3a089a6dcb37ad2728548e7fdf548c06539379b93246d7b78bf5d6be4705328d9739936e88862c9cf
Homepage: https://cran.r-project.org/package=freewall
Description: CRAN Package 'freewall' (A Wrapper of the JavaScript Library 'Freewall')
 Creates dynamic grid layouts of images that can be included in 'Shiny'
 applications and R markdown documents.

Package: r-cran-freg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3789
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fda
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-freg_1.1-1.ca2004.1_all.deb
Size: 3841568
MD5sum: bd1b241530934459acaf0000c44bac14
SHA1: d7dbdf5d9b622c41e79b36e53e4ca52f964012b2
SHA256: d14a2cdd3407c6c159bcc7e4eb3522b29aaeb8d3341ee4e1bf87ef38efd6edf8
SHA512: c69a8223ba9aae7caa4534aabd8691c368200014121faf524ba458f3da20e686f8598e68a790873ff394015d8ac545db985dc37e5248d9cc8765060d9f7b9c86
Homepage: https://cran.r-project.org/package=FREG
Description: CRAN Package 'FREG' (Functional Regression Models)
 Different regression models with functional features are implemented: for
 continuous response, categorical response and ordinal response. The model
 for ordinal response has been published in: 'Analyzing cycling sensors data
 through ordinal logistic regression with functional covariates, Jacques J.
 and Samardzic S., Journal of the Royal Statistical Society, Series C, 1-18,
 2022'.

Package: r-cran-fregression
Architecture: all
Version: 4021.83-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fbasics, r-cran-lmtest, r-cran-mass, r-cran-mgcv, r-cran-nnet, r-cran-polspline, r-cran-timedate, r-cran-timeseries
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-fregression_4021.83-1.ca2004.1_all.deb
Size: 280588
MD5sum: bb1ba87ff2173ea0b2f08f3b38a9028e
SHA1: cc4400c62e04e56a85960c299e7d65e702ebc4fc
SHA256: b789810bfd5fd8f5c1daf6099a633b023a4892dba97f655a616164424bf0a918
SHA512: 8bfa23310159fcc80b5ceecdffbe9eecb30130c81f9d5b56ea38ddf165f25c79e32dbff514266c7167ebb8795da2b1d770bb1d112d930af35713e2b48412ed85
Homepage: https://cran.r-project.org/package=fRegression
Description: CRAN Package 'fRegression' (Rmetrics - Regression Based Decision and Prediction)
 A collection of functions for linear and non-linear regression modelling. It
 implements a wrapper for several regression models available in the base and
 contributed packages of R.

Package: r-cran-frenchcurve
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sp
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-frenchcurve_0.2.0-1.ca2004.1_all.deb
Size: 217652
MD5sum: 5ce6f4bc253a692985d35fb22a7cd6b8
SHA1: 9bdeaa4dc20961b1f400313816173d7ed64ca783
SHA256: 79fc6449e204e46433b0d609cb637f2c4510bc820301ef76a1ac9e29b686a75c
SHA512: fde15e7b1d3e0b6cb4f0a13f6514d4a9e5b52cbcf0c0271c60773bf626ba81704d95e7112e6f689ae6e6cfb8f1396983cbcfd494ed6455becfa93f72496b0edc
Homepage: https://cran.r-project.org/package=frenchCurve
Description: CRAN Package 'frenchCurve' (Generate Open or Closed Interpolating Curves)
 Functions for finding smooth interpolating curves connecting a series of
 points in the plane.  Curves may be open or closed, that is, with the first
 and last point of the curve at the initial point.

Package: r-cran-frenchdata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-cli, r-cran-httr, r-cran-rvest, r-cran-stringr, r-cran-purrr, r-cran-assertthat, r-cran-rlang, r-cran-fs, r-cran-readr
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-knitr, r-cran-lubridate, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-frenchdata_0.2.0-1.ca2004.1_all.deb
Size: 522576
MD5sum: 143f0395df2851fb75ecce70e62f3c35
SHA1: d2abd78e321763bea617945ad04ccba0e40694ec
SHA256: f91ffd5f78d00fe7f2a3538ab3f2e6280118c6d16e02bca3efbbedde2073e416
SHA512: 160f177aa9d9db0cba8db8d6e8c9bfc69928683d6fb889973f409b97da5f1671589839891fb53c4d46f91581903b902992c76ccafea1627156858d667813dda9
Homepage: https://cran.r-project.org/package=frenchdata
Description: CRAN Package 'frenchdata' (Download Data Sets from Kenneth's French Finance Data LibrarySite)
 Download data sets from Kenneth's French finance data library site
 <http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html>,
 reads all the data subsets from the file. Allows R users to collect the data
 as 'tidyverse'-ready data frames.

Package: r-cran-freq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-freq_1.0-1.ca2004.1_all.deb
Size: 30012
MD5sum: 3f848f8a99e84e778d2e43f1e001d3f9
SHA1: 04a2ddb10f148631ab44b27ec009ea554a1d560c
SHA256: e47792817b66962c593fa489238fa8e50d4208bfcfbba3fbad85001854960a34
SHA512: feb3a7922cc41aaf7be370698fe1fc45767c0c5eba3f333b7c449d406d5441dbe9f8fd7b35507a23098742169d6036cdb514f154b110311cfd91531498d49a7b
Homepage: https://cran.r-project.org/package=FREQ
Description: CRAN Package 'FREQ' (FREQ: Estimate population size from capture frequencies)
 Real capture frequencies will be fitted to various distributions which
 provide the basis of estimating population sizes, their standard error, and
 symmetric as well as asymmetric confidence intervalls.

Package: r-cran-freqdist
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-freqdist_0.1-1.ca2004.1_all.deb
Size: 10252
MD5sum: c28f190695a127096d5843ade6bebc35
SHA1: 022fa48e5085ecb70ac6d6a01561a687e4c31f5b
SHA256: ed42e0598b806e77a067a2823b0487bbe169ce37c67911b0fe25911e021bb647
SHA512: 431758d90a4157db75f15d9b638252a3d2971f345835bc180d74269235e8ca4450bd9a29d045bd988a5100fe0af77223f6196e25383957e66b07e83d0809b9f9
Homepage: https://cran.r-project.org/package=freqdist
Description: CRAN Package 'freqdist' (Frequency Distribution)
 Generates a frequency distribution. The frequency distribution includes raw
 frequencies, percentages in each category, and cumulative frequencies. The
 frequency distribution can be stored as a data frame.

Package: r-cran-freqdistributionnogives
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-freqdistributionnogives_0.1.1-1.ca2004.1_all.deb
Size: 27604
MD5sum: fd32aac52165987327fbad2e46e60887
SHA1: 08c3a4287de4e475c665b0832c6ffe0545bda7dd
SHA256: cec9a1bf00a625ea72aa51c98c36edef3e6be9b096b06246a7e2e2a1803681b2
SHA512: 7e55a24f21e0d636f01b2c73314c0343863fff187151aaa754492591d129467898aade34a0d8fdc40a18c636b1647015db522e3a19179a9e9a8d735bae4d3305
Homepage: https://cran.r-project.org/package=freqdistributionNogives
Description: CRAN Package 'freqdistributionNogives' (Automated Cumulative Frequency Plots for Grouped Distribution)
 Input has to be in the form of vectors of lower class limits and upper class
 limits and frequencies; the output will give a cumulative frequency
 distribution table with cumulative frequency plot.

Package: r-cran-freqdom.fda
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-fda, r-cran-freqdom
Suggests: r-cran-mass, r-cran-marss
Filename: pool/dists/focal/main/r-cran-freqdom.fda_1.0.1-1.ca2004.1_all.deb
Size: 118764
MD5sum: 7f5ddc25eb1603b75f39865fdcc53563
SHA1: fba0eebed8e65456e2a628128e0922f0b21198d2
SHA256: 336b094bda182b5c132aa036ffc201bdc6196feba40ccad42e8b78febd442db0
SHA512: e1ec08c69aa6eb522eb27593968fd4d8edcdb09ce61856de26f11a07050b27aaba1ad570912473913cf1d363d83475070afa42c7228e6cd5be93f64e72547316
Homepage: https://cran.r-project.org/package=freqdom.fda
Description: CRAN Package 'freqdom.fda' (Functional Time Series: Dynamic Functional Principal Components)
 Implementations of functional dynamic principle components analysis. Related
 graphic tools and frequency domain methods.  These methods directly use
 multivariate dynamic principal components implementation, following the
 guidelines from Hormann, Kidzinski and Hallin (2016), Dynamic Functional
 Principal Component <doi:10.1111/rssb.12076>.

Package: r-cran-freqdom
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-matrixcalc
Suggests: r-cran-fda, r-cran-mass, r-cran-marss, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-freqdom_2.0.5-1.ca2004.1_all.deb
Size: 142012
MD5sum: f8155e824b5292e5230ba9832fad143a
SHA1: c9ee52df0c1072bfb5c3556496bc00d0b212f4a9
SHA256: c21fdac0434507bb64b398a9d5ccb30d05a1c2f2a2ba0f4dd6c9eb26f93db415
SHA512: 6ed2562d9e99900e9fe9474dffae3fda20ca883ad14a342d196beada69c521e0ca5921b96050cde307ebd279fca8222f0790ef0c53e610ec2282340ea7e5858e
Homepage: https://cran.r-project.org/package=freqdom
Description: CRAN Package 'freqdom' (Frequency Domain Based Analysis: Dynamic PCA)
 Implementation of dynamic principal component analysis (DPCA), simulation of
 VAR and VMA processes and frequency domain tools.  These frequency domain
 methods for dimensionality reduction of multivariate time series were
 introduced by David Brillinger in his book Time Series (1974). We follow
 implementation guidelines as described in Hormann, Kidzinski and Hallin
 (2016), Dynamic Functional Principal Component <doi:10.1111/rssb.12076>.

Package: r-cran-freqparcoord
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggally, r-cran-fnn, r-cran-mvtnorm
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-freqparcoord_1.0.1-1.ca2004.1_all.deb
Size: 871368
MD5sum: cafddd166c4b16420eaac3f472043bcd
SHA1: 0c02851666580a204765504ad52125fc0af2454d
SHA256: eff25cfdbf83583bd1cac2cb16caecd7ced3492e1926c73f045eda8038e7f433
SHA512: e458ee665ca455540f1968b766fe0cc473f59a1bd6c8549d04d783b9c2828ef3663e55b31653d5c6c1a3309d4193f903d5c21ab8bc56add204eff627afb5fa8a
Homepage: https://cran.r-project.org/package=freqparcoord
Description: CRAN Package 'freqparcoord' (Novel Methods for Parallel Coordinates)
 New approaches to parallel coordinates plots for multivariate data
 visualization, including applications to clustering, outlier hunting and
 regression diagnostics.  Includes general functions for multivariate
 nonparametric density and regression estimation, using parallel computation.

Package: r-cran-freqpcr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-freqpcr_0.4.0-1.ca2004.1_all.deb
Size: 376380
MD5sum: d3d07b2cdbb63d9d29319eb1f71995df
SHA1: 4ac7ec2c3bd18288594f1eecb3003ddc42bdd21e
SHA256: 60e43bee90c5f92a55cbf63c15b8c2bc6437c661b49b45bb3f724122c54e1406
SHA512: b647cbaa38f45aa56caafa9a1215f22909efc532917f833c53366dcfc14debea057a12746b7f0de984a3ab7e790d6998f26136a84f74830438de95ff09743b1a
Homepage: https://cran.r-project.org/package=freqpcr
Description: CRAN Package 'freqpcr' (Estimates Allele Frequency on qPCR DeltaDeltaCq from BulkSamples)
 Interval estimation of the population allele frequency from qPCR analysis
 based on the restriction enzyme digestion (RED)-DeltaDeltaCq method (Osakabe
 et al. 2017, <doi:10.1016/j.pestbp.2017.04.003>), as well as general
 DeltaDeltaCq analysis. Compatible with the Cq measurement of DNA extracted
 from multiple individuals at once, so called "group-testing", this model
 assumes that the quantity of DNA extracted from an individual organism
 follows a gamma distribution. Therefore, the point estimate is robust
 regarding the uncertainty of the DNA yield.

Package: r-cran-freqprof
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-freqprof_0.0.1-1.ca2004.1_all.deb
Size: 56268
MD5sum: ec722e53b1efbaad41aa46c5d8ddf10d
SHA1: 844ad7e0203fb71620ce88020d9d3d9b074b0c48
SHA256: c754fa7ff5437c35e80b689b2121c8cc85479a7a02210a4ff8dac6296a8f8158
SHA512: 9d3c3dd1501e0092c4ddbf0bad18c7c7b6875a86e690cf1234dea5e736a0cd8d189c06e2ba48cda82949f193c3560e17013706250428f1c67bdbcd38228997b1
Homepage: https://cran.r-project.org/package=FreqProf
Description: CRAN Package 'FreqProf' (Frequency Profiles Computing and Plotting)
 Tools for generating an informative type of line graph, the frequency
 profile, which allows single behaviors, multiple behaviors, or the specific
 behavioral patterns of individual subjects to be graphed from
 occurrence/nonoccurrence behavioral data.

Package: r-cran-freqtables
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-freqtables_0.1.1-1.ca2004.1_all.deb
Size: 724684
MD5sum: 56d75c825064405a7cdf7e92da666df6
SHA1: 78245a09a612f333ea6aaa0a4f32ccc42dec0c9e
SHA256: a1ece73b40e776318f8bb9765c3771887b9b642442edfe1e9876e22ab61ce51d
SHA512: 03ac7286442792428b59d84dddb4cd9d2e98fb296d77b513eb5598a0d940013ee687e53f2bd105c208d296cd5fdddca14351edb6025a85fac5e6156519c9c4f0
Homepage: https://cran.r-project.org/package=freqtables
Description: CRAN Package 'freqtables' (Make Quick Descriptive Tables for Categorical Variables)
 Quickly make tables of descriptive statistics (i.e., counts, percentages,
 confidence intervals) for categorical variables. This package is designed to
 work in a Tidyverse pipeline, and consideration has been given to get
 results from R to Microsoft Word ® with minimal pain.

Package: r-cran-frequency
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-knitr, r-cran-dt, r-cran-ggplot2, r-cran-gtools
Suggests: r-cran-foreign, r-cran-haven, r-cran-testthat, r-cran-covr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-frequency_0.4.1-1.ca2004.1_all.deb
Size: 471680
MD5sum: 76809e3fb79c39b2c6dc18c98710a091
SHA1: e7efb5cf90ff00acd20ea737f163918b5e831600
SHA256: 196e33001a916826eb82e34703ece299312877a259c63a5e5a0caf8efb4d8427
SHA512: 6a97283a5beab88270bce038ed72363d350a68023d6225a9d2fceb1780ab765b8e58a4a210c5ce7aae66045504ca60ca377b2737deebe1eaf074abf76d9d42c7
Homepage: https://cran.r-project.org/package=frequency
Description: CRAN Package 'frequency' (Easy Frequency Tables)
 Generate 'SPSS'/'SAS' styled frequency tables. Frequency tables are
 generated with variable and value label attributes where applicable with
 optional html output to quickly examine datasets.

Package: r-cran-frequencyconnectedness
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vars, r-cran-urca, r-cran-knitr, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-stringr, r-cran-mar, r-cran-reshape2, r-cran-ggplot2, r-cran-zoo, r-cran-bigvar
Filename: pool/dists/focal/main/r-cran-frequencyconnectedness_0.2.4-1.ca2004.1_all.deb
Size: 366300
MD5sum: 3b8640dd4b1631143fe0f258ee24b670
SHA1: 83a85ede1d26ed791dee3b9aedf630ea7a184e5b
SHA256: 07d13c099bc4f27aa7c5176482e277bd663a75b59743d5e1a706d5287df14765
SHA512: c7bae117f58d13f877a470d1d9110f1fbc30d94e37cbbf0cffca9f1c55d9d4c624d5f31bbe266ae0236b61c1dc1ccc74f7f6335b09fae158b7cc6f3eaafe73b6
Homepage: https://cran.r-project.org/package=frequencyConnectedness
Description: CRAN Package 'frequencyConnectedness' (Spectral Decomposition of Connectedness Measures)
 Accompanies a paper (Barunik, Krehlik (2018) <doi:10.1093/jjfinec/nby001>)
 dedicated to spectral decomposition of connectedness measures and their
 interpretation. We implement all the developed estimators as well as the
 historical counterparts. For more information, see the help or GitHub page
 (<https://github.com/tomaskrehlik/frequencyConnectedness>) for relevant
 information.

Package: r-cran-frequentdirections
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 951
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-frequentdirections_0.1.0-1.ca2004.1_all.deb
Size: 923292
MD5sum: 706047930f8811be96fa7ee4820a7019
SHA1: 54161e73c342221d1bc7098ea0677c0bf72d84c2
SHA256: 3a6a276b350b5946eadf28acc0bca18a8cd266bd5bfb0b42f153bddc464eb1b9
SHA512: 1dc8ca6114d3493d18790a00136ec085d636ded589fce1ff25aa64185a9d46162f5d887e44b11f0e66fd9a4e8f3fa4a9684a6eff8f1115b4925fedd316672efc
Homepage: https://cran.r-project.org/package=frequentdirections
Description: CRAN Package 'frequentdirections' (Implementation of Frequent-Directions Algorithm for EfficientMatrix Sketching)
 Implement frequent-directions algorithm for efficient matrix sketching.
 (Edo Liberty (2013) <doi:10.1145/2487575.2487623>).

Package: r-cran-frequentistssd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-frequentistssd_0.1.1-1.ca2004.1_all.deb
Size: 75552
MD5sum: d04fe3efb6edd2ff6923282a6beaadd7
SHA1: c0c19e569f1f6fb1285b55e435ecf6edafc235a3
SHA256: d01b96786baaa82c37f18c6b2f4469ba44d6b718f87667e14f53d93b4c78cdfc
SHA512: 5f9d9208624d0ca8b84483e1f42ef085707b68211453eb940643b0ae7651f9cd9752b2cd0ba5999181632d15819192dba6785531ad769595c026ae90b0e0e590
Homepage: https://cran.r-project.org/package=frequentistSSD
Description: CRAN Package 'frequentistSSD' (Screened Selection Design with Survival Endpoints)
 A study based on the screened selection design (SSD) is an exploratory phase
 II randomized trial with two or more arms but without concurrent control.
 The primary aim of the SSD trial is to pick a desirable treatment arm (e.g.,
 in terms of the median survival time) to recommend to the subsequent
 randomized phase IIb (with the concurrent control) or phase III. Though The
 survival endpoint is often encountered in phase II trials, the existing SSD
 methods cannot deal with the survival endpoint. Furthermore, the existing
 SSD won’t control the type I error rate.  The proposed designs can
 “partially” control or provide the empirical type I error/false positive
 rate by an optimal algorithm (implemented by the optimal() function) for
 each arm. All the design needed components (sample size, operating
 characteristics) are supported.

Package: r-cran-frequentistssdbinary
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-clinfun, r-cran-ph2mult
Filename: pool/dists/focal/main/r-cran-frequentistssdbinary_0.1.0-1.ca2004.1_all.deb
Size: 59312
MD5sum: 9a97d08bb69a2e8ccb069154b7369bf5
SHA1: f2206a68a32c1e8b6dbdfa86b4a1e165636ee5b4
SHA256: 2909ebeba19ec77ab8a2ccbfbb89d92114e251116205bf98d97be0ab57890c83
SHA512: 14610b97d8a88b12c8ea34478ccf5ce42ae1622439b2c536db4e312c24b4f65f705190256980aedccd570aa6231c8523edeaa289f6d7f2c689d49b1e4314d560
Homepage: https://cran.r-project.org/package=frequentistSSDBinary
Description: CRAN Package 'frequentistSSDBinary' (Screened Selection Design with Binary Endpoints)
 A study based on the screened selection design (SSD) is an exploratory phase
 II randomized trial with two or more arms but without concurrent control.
 The primary aim of the SSD trial is to pick a desirable treatment arm (e.g.,
 in terms of the response rate) to recommend to the subsequent randomized
 phase IIb (with the concurrent control) or phase III. The proposed designs
 can “partially” control or provide the empirical type I error/false positive
 rate by an optimal algorithm (implemented by the optimal_2arm_binary() or
 optimal_3arm_binary() function) for each arm. All the design needed
 components (sample size, operating characteristics) are supported.

Package: r-cran-fresh
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3966
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-htmltools, r-cran-rstudioapi, r-cran-sass, r-cran-shiny
Suggests: r-cran-bsicons, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-bs4dash, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fresh_0.2.1-1.ca2004.1_all.deb
Size: 1215860
MD5sum: bf933adabf2c1dd526ea27628ce9d41d
SHA1: f9123daaf02b5b92befc70afac70157270f57140
SHA256: b3868d9705a04e744972cb258ea5312ddb80b7111cd2877239fca2893be0b9e7
SHA512: bb1828d3f25518afd8c0c503352dd157e84daf69f52f776f4539c29650ad1b8f86af0645bfff64234d8df88c5281c4a89d51939d91ff41c91951e76b5c00d2b9
Homepage: https://cran.r-project.org/package=fresh
Description: CRAN Package 'fresh' (Create Custom 'Bootstrap' Themes to Use in 'Shiny')
 Customize 'Bootstrap' and 'Bootswatch' themes, like colors, fonts, grid
 layout, to use in 'Shiny' applications, 'rmarkdown' documents and
 'flexdashboard'.

Package: r-cran-freshr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-freshr_1.0.2-1.ca2004.1_all.deb
Size: 10224
MD5sum: 4a83d21f87898f8b5e7cad1a757a6e2b
SHA1: 9ebea5a5a4f4176dacfd04cc364219395484e116
SHA256: 0050cbde80aca1e0c6c2b7e446580ab1f355ef98a4b769a20de1dddc465ce75a
SHA512: 94bb0b73e04e626eee29622cad0730b41f12fb1918c967e65527cefe890bb4a443a9f24b123e1ce41e453bfcc4da588e00c383c8ec82950b86c5345ad7070f0c
Homepage: https://cran.r-project.org/package=freshr
Description: CRAN Package 'freshr' (Make R Environment Fresh Again)
 A simple way to unload none-base packages and remove all global variables.

Package: r-cran-frf2.catlg128
Architecture: all
Version: 1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5829
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-frf2
Filename: pool/dists/focal/main/r-cran-frf2.catlg128_1.2-3-1.ca2004.1_all.deb
Size: 5934508
MD5sum: 7fac6733f5743f6bd983d8ebc1d99767
SHA1: 8b8dd52ecced7b4f87551b118e3f48bc65a66319
SHA256: 44ab6efc99c297c94fa739ae39b669d8e9e7bb1d34fc7c94b57070eb91004e68
SHA512: df49dfe4640a72c370de1eda47092e112d0b3c1af078b372f64100a7bf5addb2cf86b22a104943656a56b6916f62c304544632368b3fb9fd9751303bc6ff8444
Homepage: https://cran.r-project.org/package=FrF2.catlg128
Description: CRAN Package 'FrF2.catlg128' (Catalogues of Resolution IV 128 Run 2-Level FractionalFactorials Up to 33 Factors that Do Have 5-Letter Words)
 Catalogues of resolution IV regular fractional factorial designs in 128 runs
 are provided for up to 33 2-level factors. The catalogues are complete,
 excluding resolution IV designs without 5-letter words, because these do not
 add value for a search for unblocked clear designs. The previous package
 version 1.0 with complete catalogues up to 24 runs (24 runs and a namespace
 added later) can be downloaded from the authors website.

Package: r-cran-frf2
Architecture: all
Version: 2.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doe.base, r-cran-sfsmisc, r-cran-scatterplot3d, r-cran-igraph
Suggests: r-cran-frf2.catlg128, r-cran-bsmd, r-cran-doe.wrapper
Filename: pool/dists/focal/main/r-cran-frf2_2.3-4-1.ca2004.1_all.deb
Size: 889664
MD5sum: a1ea74c90326cf69fa933d385c2f1b7f
SHA1: bea88df496dfea118602878f03298773406a0a9c
SHA256: e09f111f833df2f7f83222c0eb007eb44e12a6d535f50f5b46f17502f690156c
SHA512: 044dcd93f4adb7490b8236c4a53d4dc8e9898de182b8996298bda67f0a076fc41be1922c850843ef5b6cb6179a589e4b81ab21b6b9671dac572f16ce36c914ac
Homepage: https://cran.r-project.org/package=FrF2
Description: CRAN Package 'FrF2' (Fractional Factorial Designs with 2-Level Factors)
 Regular and non-regular Fractional Factorial 2-level designs can be created.
 Furthermore, analysis tools for Fractional Factorial designs with 2-level
 factors are offered (main effects and interaction plots for all factors
 simultaneously, cube plot for looking at the simultaneous effects of three
 factors, full or half normal plot, alias structure in a more readable format
 than with the built-in function alias).

Package: r-cran-fri
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-neuralnet, r-cran-rsnns, r-cran-ggplot2, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-fri_1.0-1.ca2004.1_all.deb
Size: 32564
MD5sum: 5a4eeb3493d09594b3e1ec8c334903c3
SHA1: 49bc0432575f36511755f423d1281a06ecb62bbc
SHA256: af2cc4ad2c5412cd15b4a149631da536bec546a548fd58584766883be35cf570
SHA512: ba3d0c11545be9f3bd4f7304ee67c4e6f877a3d5fc98969448e9405bb7ce393a9f43e179ed95deee05f600cbb4ca5579e5829040b746df8205738117688c7b07
Homepage: https://cran.r-project.org/package=FRI
Description: CRAN Package 'FRI' (Relative Importance of Main and Interaction Effects)
 Computes relative importance of main and interaction effects. Also, sum of
 the modified generalized weights is computed. Ibrahim et al. (2022)
 <doi:10.1134/S1064229322080051>.

Package: r-cran-frictionless
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-yaml
Suggests: r-cran-hms, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-frictionless_1.2.1-1.ca2004.1_all.deb
Size: 113208
MD5sum: 54d6bee0270b079c018f3e806639173a
SHA1: 6466e1667e2ea6c936e5df12f31e10599570b078
SHA256: 8cd40e6fb3a4c1c2db591a6eeca666e600120aeb2bef0954e9e8aabd64d227e3
SHA512: 9ebf0d1ff4a41f7047972ab9350d1c09bf3c705932b74f3634950e3f378615e24d5f4c009082a5993429bf16c8837e53f0fb3fc69cbca97018947b239120f3f1
Homepage: https://cran.r-project.org/package=frictionless
Description: CRAN Package 'frictionless' (Read and Write Frictionless Data Packages)
 Read and write Frictionless Data Packages. A 'Data Package'
 (<https://specs.frictionlessdata.io/data-package/>) is a simple container
 format and standard to describe and package a collection of (tabular) data.
 It is typically used to publish FAIR
 (<https://www.go-fair.org/fair-principles/>) and open datasets.

Package: r-cran-friendlynumber
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bignum, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-friendlynumber_1.0.0-1.ca2004.1_all.deb
Size: 170472
MD5sum: 43f023e18230d0092aa6ab3a2f96373e
SHA1: e2969b3019eca80c90036655b89d641277cbb30a
SHA256: 3896d2e8eff649d305ea47c35906a002a1599cafc4ca6408eb6c56f07dc1d3e0
SHA512: 93b97d58aad93cd02ea902ef0ce0f649d475adb2cf7dc8cb227dc4cc16fe8e568057987d553d31c7c4af9e14edde71890078a2c9a2e71cdf38b3fa96ec475297
Homepage: https://cran.r-project.org/package=friendlynumber
Description: CRAN Package 'friendlynumber' (Translate Numbers into Number Words)
 Converts vectors of numbers into character vectors of numerals, including
 cardinals (one, two, three) and ordinals (first, second, third).  Supports
 negative numbers, fractions, and arbitrary-precision integer and
 high-precision floating-point vectors provided by the 'bignum' package.

Package: r-cran-friends
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1673
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-friends_0.1.0-1.ca2004.1_all.deb
Size: 1672016
MD5sum: b27778bf10ef92d7f917623a686efd7f
SHA1: 439b0da9917e88008dcc51d999906e824bbfbddb
SHA256: b78fd5dc83f506666de02977ff732a29c86d21d4f5d37d0f5c5ca88c3cf7877c
SHA512: 86792b1c9bd1ed877c43efe77bb5e8cbf00721e91019823c0de5eb630326189d8e1ec5158c70b5e9824cdccf8bc09337c78623ea08f66797a4cc8cf4032f3908
Homepage: https://cran.r-project.org/package=friends
Description: CRAN Package 'friends' (The Entire Transcript from Friends in Tidy Format)
 The complete scripts from the American sitcom Friends in tibble format. Use
 this package to practice data wrangling, text analysis and network analysis.

Package: r-cran-fritools2
Architecture: all
Version: 4.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 832
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-callr, r-cran-checkmate, r-cran-covr, r-cran-desc, r-cran-devtools, r-cran-digest, r-cran-dplyr, r-cran-pkgload, r-cran-reshape, r-cran-rmarkdown, r-cran-runit, r-cran-testthat, r-cran-tinytest, r-cran-whoami
Filename: pool/dists/focal/main/r-cran-fritools2_4.1.0-1.ca2004.1_all.deb
Size: 417600
MD5sum: 656c9957172a3f2c3be675b04ccbff7c
SHA1: 7fdf96b9599ba02960892600d717fa5613aefc00
SHA256: b9900b64ff68ad61d948c986e13ebd33a7b3f2b390da6ee1750de956e527ee2c
SHA512: 79a2868ce0699fa6f3a143e99e7bd8eb0bdefd29b6c75f769bb3d41d61a887f76891fc37fdbf4f45c884a3fc974ffc3e8004b487d1d7093812fcd4b139d4e08f
Homepage: https://cran.r-project.org/package=fritools2
Description: CRAN Package 'fritools2' (Utilities for the Forest Research Institute of the StateBaden-Wuerttemberg)
 Miscellaneous utilities, tools and helper functions for finding and
 searching files on disk, searching for and removing R objects from the
 workspace.  Does not import or depend on any third party package, but on
 core R only (i.e. it may depend on packages with priority 'base').

Package: r-cran-fritools
Architecture: all
Version: 4.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 926
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-callr, r-cran-checkmate, r-cran-covr, r-cran-desc, r-cran-devtools, r-cran-digest, r-cran-dplyr, r-cran-microbenchmark, r-cran-pkgload, r-cran-reshape, r-cran-rmarkdown, r-cran-runit, r-cran-testthat, r-cran-tinytest, r-cran-whoami
Filename: pool/dists/focal/main/r-cran-fritools_4.5.0-1.ca2004.1_all.deb
Size: 479948
MD5sum: 4eb38ae96056d83ef14fb485c5cc0e16
SHA1: 86c5e85bfd83a43089574fb5db645f6b275de4b6
SHA256: d0a739493ffaa2ca65e38616d118a18701deef1f790eb080a7f59b9d73cf0ae0
SHA512: a8e81e8c60f96783df72936da15503365272424fd025b7def74f803641761a60c6b4148000417f4a5fd280bba41c1fb1db89d65f62156237f0175b9ebaf8f67a
Homepage: https://cran.r-project.org/package=fritools
Description: CRAN Package 'fritools' (Utilities for the Forest Research Institute of the StateBaden-Wuerttemberg)
 Miscellaneous utilities, tools and helper functions for finding and
 searching files on disk, searching for and removing R objects from the
 workspace.  Does not import or depend on any third party package, but on
 core R only (i.e. it may depend on packages with priority 'base').

Package: r-cran-frm
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-frm_1.2.2-1.ca2004.1_all.deb
Size: 96220
MD5sum: 174de892afb6fd452ba308a54cebaf8c
SHA1: ab741a2f33db7722e7965a6929ffb562999c1878
SHA256: f4410de95c797e5bd746550d14fde381505ffb842ed9dabb732a75f9db1b89b9
SHA512: 89279f1074e5a1279129c4bdc73a6c086f305abd4220b64624e4653ebd91df4aa6309a29fd9ca35b2c93064eb3efa9287ef1e875a39b370da9d2166adbc317d2
Homepage: https://cran.r-project.org/package=frm
Description: CRAN Package 'frm' (Regression Analysis of Fractional Responses)
 Estimation and specification analysis of one- and two-part fractional
 regression models and calculation of partial effects.

Package: r-cran-frmhet
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-frmhet_1.1.3-1.ca2004.1_all.deb
Size: 75956
MD5sum: 609f9f45774e3dda1aecb7f107d78f61
SHA1: fda09cb1ee5386421c958fa6fcdb4dc5a8c4efd3
SHA256: 16f6d80d09759ed1d6cb04acf1f77e2bf8041dafb531deb289cb5fb23dd17d2e
SHA512: cc94b10e7d892f784c9c58a6f46ecb12e3e1ea6efa743b5c9e57879bb1f6f23b0ec517cffc200cd8ce670c695c184e83351bcce5d6e141aeba7304732658fedb
Homepage: https://cran.r-project.org/package=frmhet
Description: CRAN Package 'frmhet' (Regression Analysis of Fractional Responses Under UnobservedHeterogeneity)
 Estimation and specification analysis of fractional regression models with
 neglected heterogeneity and/or endogenous covariates.

Package: r-cran-frmpd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-frmpd_1.1.0-1.ca2004.1_all.deb
Size: 59972
MD5sum: 831e9e61e22b1f72a63bc267ef79955f
SHA1: 44b2623ea6a898492a884fdf860eb72235982ec6
SHA256: 840e4215ab2493e585a9612c3795ec516c821b11e441f9f1b6e964404a445e0f
SHA512: b2d09e7bc529344de4e6e355f71b5d919ba5da43ec58923d68e70a6513b2da430c8f8d6750572164e11dca31e735b5a080d561cc0d7ba4d883d01cd549d280de
Homepage: https://cran.r-project.org/package=frmpd
Description: CRAN Package 'frmpd' (Regression Analysis of Panel Fractional Responses)
 Estimation of panel data regression models for fractional responses.

Package: r-cran-frmqa
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partitions, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-frmqa_0.1-5-1.ca2004.1_all.deb
Size: 66960
MD5sum: 938cd433fd1d5407b713d4e099e4636b
SHA1: cf1963924864e2c8da215fc4c8281a5295a8d511
SHA256: d51522663abcb7d2bf1a2dcb5e893dda08692f66157cc669dcc81bccdb515d5c
SHA512: f95fd284cc16cc43cca0c984884176dfa3dc5cd278801d5cefb3c36ef70da403e414763c06c888e08dbfd6c897c03eaa2e14ffa8ebc22b2a4ee4d55d7035f951
Homepage: https://cran.r-project.org/package=frmqa
Description: CRAN Package 'frmqa' (The Generalized Hyperbolic Distribution, Related Distributionsand Their Applications in Finance)
 A collection of R and C++ functions to work with the generalized hyperbolic
 distribution, related distributions and their applications in financial risk
 management and quantitative analysis.

Package: r-cran-frogger
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4671
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-here, r-cran-quarto, r-cran-rappdirs, r-cran-readr, r-cran-rstudioapi, r-cran-stringr, r-cran-usethis, r-cran-yaml
Suggests: r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-frogger_0.4.0-1.ca2004.1_all.deb
Size: 4002572
MD5sum: aee2e8baa100607fa82c0fe3d28df2b4
SHA1: 346a104f23eca607ec767af0f3d6358fdebd9368
SHA256: 76a7be3655e245ef2acde406e576f91cd367a3b2b82364696cc8a11198632883
SHA512: f83abd976b0c4d89705d92ad7eed7e470276a508e3c71c06868298b59427f0d9e67c433030064835f8825f45deafe08ca897362788d2a414ea97b74faa713977
Homepage: https://cran.r-project.org/package=froggeR
Description: CRAN Package 'froggeR' (Enhance 'Quarto' Project Workflows and Standards)
 Streamlines 'Quarto' workflows by providing tools for consistent project
 setup and documentation. Enables portability through reusable metadata,
 automated project structure creation, and standardized templates. Features
 include enhanced project initialization, pre-formatted 'Quarto' documents,
 comprehensive data protection settings, custom styling, and structured
 documentation generation. Designed to improve efficiency and collaboration
 in R data science projects by reducing repetitive setup tasks while
 maintaining consistent formatting across multiple documents. There are many
 valuable resources providing in-depth explanations of customizing 'Quarto'
 templates and theme styling by the Posit team:
 <https://quarto.org/docs/output-formats/html-themes.html#customizing-themes>
 & <https://quarto.org/docs/output-formats/html-themes-more.html>, and at the
 Bootstrap community's GitHub at
 <https://github.com/twbs/bootstrap/blob/main/scss/_variables.scss>.

Package: r-cran-fromhere
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rprojroot
Suggests: r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fromhere_0.1.0-1.ca2004.1_all.deb
Size: 31648
MD5sum: 067a348c6f3b3fa300ea4950e141cb12
SHA1: 6c213f49cfb668c59fc05d89bcabdead741040a1
SHA256: 854705e9057de4f4985bcb2c7a28c31b91841da662a655f68ba36693a109571c
SHA512: d28d757616917bd44e9b4b4b6eb00377c73ad54ad7473b97f0d59a1a3f122d95a96a53bdff67c63ce61843596c7be5bef0e7bf3b23787095e6129781dc6691dc
Homepage: https://cran.r-project.org/package=fromhere
Description: CRAN Package 'fromhere' (File Paths Relative to Project Roots)
 Provides a set of helper functions for constructing file paths relative to
 the root of various types of projects, such as R packages, Git repositories,
 and more. File paths are specified with function arguments, or `$` to
 navigate into folders to specific files supported by auto-completion.

Package: r-cran-frost
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frost_0.0.4-1.ca2004.1_all.deb
Size: 195188
MD5sum: 031c30d6b63aaa98ff0527370bdc7048
SHA1: 2736ede2a2a2357e3ce2defcec2b01b9e83f34e0
SHA256: 299d1a4afccb9fc78971a9231c76049b644689d64ac71f47187726d0740bda04
SHA512: 4bad65d274ad9bbc75cf38ec372bf7e76912998216973f24ef5721785f23006e86248a728f5ed63947b86e750558a041e03d80e9de9ef61b76c077229a801a81
Homepage: https://cran.r-project.org/package=frost
Description: CRAN Package 'frost' (Prediction of Minimum Temperature for Frost Forecasting inAgriculture)
 A compilation of empirical methods used by farmers and agronomic engineers
 to predict the minimum temperature to detect a frost night. These functions
 use variables such as environmental temperature, relative humidity, and dew
 point. See <http://sedici.unlp.edu.ar/handle/10915/72102>
 <http://www.fao.org/docrep/008/y7223e/y7223e0b.htm#bm11.8> for details.

Package: r-cran-frostr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frostr_0.2.0-1.ca2004.1_all.deb
Size: 52932
MD5sum: a7ca432c5862bdbee3dd1f6b99f107a4
SHA1: 38fe05504150cadda729b7ff533948e1ed846f3f
SHA256: bd24254b2b8cb98cd0256e7e81c3ed50efb7c9e5ab9f935c5e8d92adeea8c3c5
SHA512: 45e1e587199277fefed7d85694fc2f62fb78796cf1e8a179cf090b6e9c05de065ea146ac609fb5127393c6f1c5e4987a47a7dbafd88db7ebb87cabd801241e9c
Homepage: https://cran.r-project.org/package=frostr
Description: CRAN Package 'frostr' (R API to MET Norway's 'Frost' API)
 An R API to MET Norway's 'Frost' API <https://frost.met.no/index.html> to
 retrieve data as data frames. The 'Frost' API, and the underlying data, is
 made available by the Norwegian Meteorological Institute (MET Norway). The
 data and products are distributed under the Norwegian License for Open Data
 2.0 (NLOD) <https://data.norge.no/nlod/en/2.0> and Creative Commons 4.0
 <https://creativecommons.org/licenses/by/4.0/>.

Package: r-cran-frscore
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cna, r-cran-lifecycle, r-cran-dplyr, r-cran-rfast, r-cran-magrittr, r-cran-rlang, r-cran-withr, r-cran-visnetwork, r-cran-igraph
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-frscore_0.5.1-1.ca2004.1_all.deb
Size: 124368
MD5sum: c7d693f7737fe32e9b277dbf061fffc6
SHA1: c2e48f008cf3ab0cf4e22dd2647e503fd040cfd3
SHA256: 38647f6d476023cf1186facb8e7d328e354fcdc38899e6d7d77dfcb007ff5541
SHA512: 7a99182ff266a517b49b750f7cfdcf5e1a7345e4bbd545e2111bea78e82d2c8e53c530323ef8b62de52fe8a9a2bc63c4ac827050b3e348d194eb6a213e0956ec
Homepage: https://cran.r-project.org/package=frscore
Description: CRAN Package 'frscore' (Functions for Calculating Fit-Robustness of CNA-Solutions)
 Functions for automatically performing a reanalysis series on a data set
 using CNA, and for calculating the fit-robustness of the resulting models,
 as described in Parkkinen and Baumgartner (2021)
 <doi:10.1177/0049124120986200>.

Package: r-cran-fruclimadapt
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-dplyr, r-cran-zoo, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-fruclimadapt_0.4.5-1.ca2004.1_all.deb
Size: 256440
MD5sum: a616ff24728af0eafd2c1737e6be64b6
SHA1: f6c149956ea8d917f0e94a18ad6b35bdebbd428c
SHA256: 1eb15464d6bcf1f0927d07efa74201b5e5286aa8c7aeff916d92c6f667f4aa93
SHA512: 9d3dd1274207354441e7e9f1411726081fc76c576eef8bbb20c73b837809d1b513f55df6752fb2982050e34b0779428a993a8403336e540e860bca1e52d2daf8
Homepage: https://cran.r-project.org/package=fruclimadapt
Description: CRAN Package 'fruclimadapt' (Evaluation Tools for Assessing Climate Adaptation of Fruit TreeSpecies)
 Climate is a critical component limiting growing range of plant species,
 which also determines cultivar adaptation to a region. The evaluation of
 climate influence on fruit production is critical for decision-making in the
 design stage of orchards and vineyards and in the evaluation of the
 potential consequences of future climate. Bio- climatic indices and plant
 phenology are commonly used to describe the suitability of climate for
 growing quality fruit and to provide temporal and spatial information about
 regarding ongoing and future changes. 'fruclimadapt' streamlines the
 assessment of climate adaptation and the identification of potential risks
 for grapevines and fruit trees. Procedures in the package allow to i)
 downscale daily meteorological variables to hourly values (Forster et al
 (2016) <doi:10.5194/gmd-9-2315-2016>), ii) estimate chilling and forcing
 heat accumulation (Miranda et al (2019)
 <https://ec.europa.eu/eip/agriculture/sites/default/files/fg30_mp5_phenology_critical_temperatures.pdf>),
 iii) estimate plant phenology (Schwartz (2012)
 <doi:10.1007/978-94-007-6925-0>), iv) calculate bioclimatic indices to
 evaluate fruit tree and grapevine adaptation (e.g. Badr et al (2017)
 <doi:10.3354/cr01532>), v) estimate the incidence of weather-related
 disorders in fruits (e.g. Snyder and de Melo-Abreu (2005,
 ISBN:92-5-105328-6) and vi) estimate plant water requirements (Allen et al
 (1998, ISBN:92-5-104219-5)).

Package: r-cran-fsa
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1547
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-car, r-cran-dunn.test, r-cran-flexparamcurve, r-cran-lmtest, r-cran-plotrix, r-cran-purrr, r-cran-withr
Suggests: r-cran-dplyr, r-cran-fishmethods, r-cran-fsadata, r-cran-knitr, r-cran-nlme, r-cran-nlstools, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fsa_0.10.0-1.ca2004.1_all.deb
Size: 1319064
MD5sum: 4ac297d6a2a587e06473c32d3a672dfc
SHA1: 056c577d919adcd766c6d2cdbb99e231e76c8507
SHA256: 5ebacadbdfdd23672ab827d12b3633a6de5a811e3e99f00786640e3760c457a3
SHA512: 1eb74528be03d0b3a154d62b3aca30a2d12937bd6668cd5a55fd66d3bc177b74b8888972af6c441032c4e73f1592c17c319df3557bae5d8fb7d2cac903fe1c5c
Homepage: https://cran.r-project.org/package=FSA
Description: CRAN Package 'FSA' (Simple Fisheries Stock Assessment Methods)
 A variety of simple fish stock assessment methods.

Package: r-cran-fsadata
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-dplyr, r-cran-fishmethods, r-cran-fsa, r-cran-knitr, r-cran-pkgdown, r-cran-readxl, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fsadata_0.4.1-1.ca2004.1_all.deb
Size: 919128
MD5sum: b58cfca3164d1f60b31e6f1b71a0260c
SHA1: 73c3da55fc9618bafeb251b9ae6ef56e98f4b00e
SHA256: 1bc20da76cb50a24284888b4adf1336b96b56a9d8d8439799c3df2c9b80f6c96
SHA512: 9448bb730e9e8bb77cbf5cd1246fd2c58add0d00935ab6d22599487e0e05aa9c30f3bb87732a3d9a3ed35053dd35af67deb47e841c29ce1f3db115c6ebce1b94
Homepage: https://cran.r-project.org/package=FSAdata
Description: CRAN Package 'FSAdata' (Data to Support Fish Stock Assessment ('FSA') Package)
 The datasets to support the Fish Stock Assessment ('FSA') package.

Package: r-cran-fsatools
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 894
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-fsatools_2.0.5-1.ca2004.1_all.deb
Size: 365900
MD5sum: 5dfb58cbb6367fed274ba1e3665cc73c
SHA1: 7e2770092345d147be4f2962892b4250c3e0a031
SHA256: 69f9ffd0ff4d187da6b29eda636168b04ea63b9476e8d193ac3ac5bc1122b04c
SHA512: 228a907958deb935963c548d1bc5678ea19d88f5a228eb7aa2bdc345993d955bd2478d050325b343085e73d287cca333a5afb057301b1ce135e6599394cf114e
Homepage: https://cran.r-project.org/package=FSAtools
Description: CRAN Package 'FSAtools' (Fragment Analysis and Capillary Sequencing Tool Kit)
 A flexible and interfaced framework for importing, processing and ploting
 Applied Biosystems data files. Application to Reverse-Transcriptase
 Multiplex Ligation-dependent Probe Amplification (RT-MLPA) gene-expression
 profiling and classification is illustrated in Mareschal, Ruminy et al
 (2015) <doi:10.1016/j.jmoldx.2015.01.007>. Gene-fusion detection and Sanger
 sequencing are illustrated in Mareschal, Palau et al (2021)
 <doi:10.1182/bloodadvances.2020002517>. Examples are provided for genotyping
 applications as well.

Package: r-cran-fsbrain
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4799
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reshape, r-cran-freesurferformats, r-cran-pkgfilecache, r-cran-rgl, r-cran-squash, r-cran-fields, r-cran-viridis, r-cran-data.table, r-cran-magick
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-sphereplot, r-cran-misc3d, r-cran-rcolorbrewer, r-cran-rvcg, r-cran-igraph, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-fsbrain_0.5.5-1.ca2004.1_all.deb
Size: 3833032
MD5sum: 60cf6e09939b066560fb03fad26f2666
SHA1: 7c529ee2a4abc08a3ef47a66c13b4760c7c6d572
SHA256: 4e417b8c86f56d316f06471221e31a8cf17481f5495e3406902a3627d9caf9ff
SHA512: 536cfcce8c7f6b44460946e60f45f1c2b1f9b02d4f31b8d5a9d1dbadf87f16f6aaf742abf54983969500cbb0c55cbc0762b76d6e00b37127602c00bcc06d60ff
Homepage: https://cran.r-project.org/package=fsbrain
Description: CRAN Package 'fsbrain' (Managing and Visualizing Brain Surface Data)
 Provides high-level access to neuroimaging data from standard software
 packages like 'FreeSurfer' <http://freesurfer.net/> on the level of subjects
 and groups. Load morphometry data, surfaces and brain parcellations based on
 atlases. Mask data using labels, load data for specific atlas regions only,
 and visualize data and statistical results directly in 'R'.

Package: r-cran-fscache
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-r6, r-cran-chk, r-cran-lgr, r-cran-lifecycle, r-cran-stringi
Suggests: r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fscache_1.0.5-1.ca2004.1_all.deb
Size: 118300
MD5sum: 2587323dc6b79c0e472bb2711d3ccd90
SHA1: 2a70e495ba8c61404d265311c26ccd9c6e0d2d12
SHA256: 1aa0ed4ebebed6ae8c26df0cfb2839fefc2ef47567638e5c962d98256f427959
SHA512: b571f3c0a9bd04f2cf33c52183bf093f0f0fc6a2fd0bb920d671e415b6b48bc9ae78e760ea5628269c2aabf2bcb780cf261b89152952cc9ce9f209842638d43a
Homepage: https://cran.r-project.org/package=fscache
Description: CRAN Package 'fscache' (File System Cache)
 Manages a file system cache. Regular files can be moved or copied to the
 cache folder. Sub-folders can be created in order to organize the files.
 Files can be located inside the cache using a glob function. Text contents
 can be easily stored in and retrieved from the cache using dedicated
 functions. It can be used for an application or a package, as a global
 cache, or as a per-user cache, in which case the standard OS user cache
 folder will be used (e.g.: on Linux
 $HOME/.cache/R/my_app_or_pkg_cache_folder).

Package: r-cran-fscaret
Architecture: all
Version: 0.9.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-gsubfn, r-cran-hmeasure
Suggests: r-cran-ada, r-cran-arm, r-cran-boruta, r-cran-bst, r-cran-c50, r-cran-car, r-cran-catools, r-cran-class, r-cran-cubist, r-cran-e1071, r-cran-earth, r-cran-elasticnet, r-cran-ellipse, r-cran-evtree, r-cran-extratrees, r-cran-fastica, r-cran-gam, r-cran-gbm, r-cran-glmnet, r-cran-hda, r-cran-hdclassif, r-cran-hmisc, r-cran-ipred, r-cran-kernlab, r-cran-kknn, r-cran-klar, r-cran-kohonen, r-cran-krls, r-cran-lars, r-cran-leaps, r-cran-logicreg, r-cran-mass, r-cran-mboost, r-cran-mda, r-cran-mgcv, r-cran-mlbench, r-cran-neuralnet, r-cran-nnet, r-cran-nodeharvest, r-cran-obliquerf, r-cran-pamr, r-cran-partdsa, r-cran-penalized, r-cran-penalizedlda, r-cran-pls, r-cran-proc, r-cran-proxy, r-cran-qrnn, r-cran-quantregforest, r-cran-randomforest, r-cran-rann, r-cran-relaxo, r-cran-rferns, r-cran-rocc, r-cran-rpart, r-cran-rrcov, r-cran-rrf, r-cran-rsnns, r-cran-rweka, r-cran-sda, r-cran-sparselda, r-cran-spls, r-cran-stepplr, r-cran-superpc
Filename: pool/dists/focal/main/r-cran-fscaret_0.9.4.4-1.ca2004.1_all.deb
Size: 281812
MD5sum: 43309d33f9266f1106954d6c606548e8
SHA1: 6c0095e0fa6ce78563d0b4c79e44bb57b668524a
SHA256: 27e4d5e40f5e12bd4f4ffbb0cb611fb4d151e5264a62c9735451362e8272e1d9
SHA512: e2f360910e330da1460356ae6da5518ae9dc0e1f6ee0e454420e1158304ed39c23a4875dbc9ead412c59fafc1b95b3372f3cb215a89f7f4a7b6e4fbdfcbcc8dd
Homepage: https://cran.r-project.org/package=fscaret
Description: CRAN Package 'fscaret' (Automated Feature Selection from 'caret')
 Automated feature selection using variety of models provided by 'caret'
 package.  This work was funded by Poland-Singapore bilateral cooperation
 project no 2/3/POL-SIN/2012.

Package: r-cran-fsdam
Architecture: all
Version: 2024.7-30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kyotil, r-cran-reticulate
Suggests: r-cran-r.rsp, r-cran-runit
Filename: pool/dists/focal/main/r-cran-fsdam_2024.7-30-1.ca2004.1_all.deb
Size: 68332
MD5sum: 1c152a2928a92fd7fba6893c81b92f6f
SHA1: 229ba06e9e280f2c673ece394ddb1f42eb998c8e
SHA256: d14de7faf02ebf59f1a28fcdb316f2e6a209330f251c3c235bb273b00639174b
SHA512: 6eec9fcffe9d40724df981ae7425e5d60f9fe7bac889d2fe274ed56fb49805482678b2282bb05f6f9076a0a84175bda18c4256578b85d1b95cdeee32d78c7fa0
Homepage: https://cran.r-project.org/package=FSDAM
Description: CRAN Package 'FSDAM' (Forward Stepwise Deep Autoencoder-Based Monotone NLDR)
 FS-DAM performs feature extraction through latent variables identification.
 Implementation is based on autoencoders with monotonicity and orthogonality
 constraints.

Package: r-cran-fsdar
Architecture: all
Version: 0.9-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2959
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava, r-cran-ggplot2
Suggests: r-cran-robustbase, r-cran-rrcov, r-cran-mass
Filename: pool/dists/focal/main/r-cran-fsdar_0.9-0-1.ca2004.1_all.deb
Size: 2169236
MD5sum: d5f66cf7d017358356c350a786edaaf6
SHA1: 6f37cfe9c3a36d595988e318e142be90f03aab59
SHA256: 4d95d0597b2c3c68e79c2bc8d17c0de58683eca44a1b710c011d7a508cb09f89
SHA512: b3cb7d74d610b486d160813b04b2c0beb5bd1ece4b75bcaefa59e605c8e1af59d2de1fc0a4dc75afa94b0fbf4693140065664924f4d904dea14a37da903c1414
Homepage: https://cran.r-project.org/package=fsdaR
Description: CRAN Package 'fsdaR' (Robust Data Analysis Through Monitoring and DynamicVisualization)
 Provides interface to the 'MATLAB' toolbox 'Flexible Statistical Data
 Analysis (FSDA)' which is comprehensive and computationally efficient
 software package for robust statistics in regression, multivariate and
 categorical data analysis. The current R version implements tools for
 regression: (forward search, S- and MM-estimation, least trimmed squares
 (LTS) and least median of squares (LMS)), for multivariate analysis (forward
 search, S- and MM-estimation), for cluster analysis and cluster-wise
 regression.  The distinctive feature of our package is the possibility of
 monitoring the statistics of interest as a function of breakdown point,
 efficiency or subset size, depending on the estimator. This is accompanied
 by a rich set of graphical features, such as dynamic brushing, linking,
 particularly useful for exploratory data analysis.

Package: r-cran-fselector
Architecture: all
Version: 0.34-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest, r-cran-entropy, r-cran-randomforest, r-cran-rweka
Suggests: r-cran-mlbench, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-fselector_0.34-1.ca2004.1_all.deb
Size: 93516
MD5sum: 84482d5ec3467ea76b3c942bfe02651c
SHA1: e452beb617409176595fed4cf32e7ed98bc4a0c9
SHA256: b63280e93d46efb020d5dc0e61e927da13b9076e5fae7e687259b940b7599d61
SHA512: b55a4be2ef8a3338b4f86768d444b6a145588ac3b51d4e73e928a902a72a5f885c9d2f8cdb6d32b9a66a84ae3c371cdbfb197eb2ac036d4a71afa398d37f9b37
Homepage: https://cran.r-project.org/package=FSelector
Description: CRAN Package 'FSelector' (Selecting Attributes)
 Functions for selecting attributes from a given dataset. Attribute subset
 selection is the process of identifying and removing as much of the
 irrelevant and redundant information as possible.

Package: r-cran-fsemipar
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1706
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-grpreg, r-cran-dicekriging, r-cran-gtools, r-cran-parallelly, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-gridextra, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-fsemipar_1.1.1-1.ca2004.1_all.deb
Size: 1676976
MD5sum: a0cfaa360dc7b5387b56e0b2169191cb
SHA1: 2231e39a1b6d70512d26a6d95e29e62d19257b6e
SHA256: 5fb44192a365723422041c7d49351345a5db20c1c1baa184a13707d0f9febcca
SHA512: 7d42941273c1f91d0e5ed8f4375123347739cdd95c7072472829593bd7a41a27027399e720b31384314e8fbf4f87487a0a827ea6c674f6d2983e5500f2bbc6a4
Homepage: https://cran.r-project.org/package=fsemipar
Description: CRAN Package 'fsemipar' (Estimation, Variable Selection and Prediction for FunctionalSemiparametric Models)
 Routines for the estimation or simultaneous estimation and variable
 selection in several functional semiparametric models with scalar responses
 are provided. These models include the functional single-index model, the
 semi-functional partial linear model, and the semi-functional partial linear
 single-index model. Additionally, the package offers algorithms for handling
 scalar covariates with linear effects that originate from the discretization
 of a curve. This functionality is applicable in the context of the linear
 model, the multi-functional partial linear model, and the multi-functional
 partial linear single-index model.

Package: r-cran-fsia
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fsia_1.1.1-1.ca2004.1_all.deb
Size: 553640
MD5sum: 39825cc8088c100f26fbdc1c300727bb
SHA1: 852d512244da6015d3adf01590093303923d0b16
SHA256: 68103e09dec4deea6b16ef52046cab5fbe8bc63e1e2231b829a03b8066494dfd
SHA512: 15d0685c0caeb831fba549166da4d04b24c0c5652c6bc4e4629f9d3f98cc2ae4ca932710e01e46fe2d8ef51805134e3337adb888f39004dcfb87c0f965be0db4
Homepage: https://cran.r-project.org/package=fsia
Description: CRAN Package 'fsia' (Import and Analysis of OMR Data from FormScanner)
 Import data of tests and questionnaires from FormScanner. FormScanner is an
 open source software that converts scanned images to data using optical mark
 recognition (OMR) and it can be downloaded from
 <http://sourceforge.net/projects/formscanner/>. The spreadsheet file created
 by FormScanner is imported in a convenient format to perform the analyses
 provided by the package. These analyses include the conversion of multiple
 responses to binary (correct/incorrect) data, the computation of the number
 of corrected responses for each subject or item, scoring using weights,the
 computation and the graphical representation of the frequencies of the
 responses to each item and the report of the responses of a few subjects.

Package: r-cran-fsinr
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-neuralnet, r-cran-class, r-cran-digest, r-cran-caret, r-cran-mlbench, r-cran-rdpack, r-cran-ga, r-cran-dplyr, r-cran-tidyr, r-cran-prodlim, r-cran-rlang, r-cran-purrr, r-cran-e1071
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rsnns
Filename: pool/dists/focal/main/r-cran-fsinr_2.0.5-1.ca2004.1_all.deb
Size: 404484
MD5sum: dc5785be4d3730df0ae3fb1463e606a5
SHA1: 7c1408907e6745e054c5b5d6b5034a22a8bc59b0
SHA256: 69c512bbcf4aee4fe3ef80f5c01531640603591707cc4e83083979775553a2b0
SHA512: 3b0e695f1862d8149bdf7a05dee94d890b201198c72047ba8a83326a771a7ba608ec06c9b3ad1a484aca30135e8ada9e0c8896b965cf04b848252dd98b3454ae
Homepage: https://cran.r-project.org/package=FSinR
Description: CRAN Package 'FSinR' (Feature Selection)
 Feature subset selection algorithms modularized in search algorithms and
 measure utilities. Full list and more information available at
 <https://dicits.ugr.es/software/FSinR/>.

Package: r-cran-fsk2r
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2816
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-purrr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-readxl, r-cran-readtext, r-cran-zip, r-cran-xml2, r-cran-rjson, r-cran-shiny, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fsk2r_0.1.3-1.ca2004.1_all.deb
Size: 1200776
MD5sum: 63d3e051621e0f6092334f27cb2d6bf8
SHA1: e843c69b85f4d38bcdc6251f4f0460ea012c642d
SHA256: 3a840419032c7e4d8ed381069c73d86a012e83d41438b882f38c045a4593c88d
SHA512: 83f1ecaf7f9adac2ce4e4a7753aa16073ae1c9171b7bb59d3ea913bcc6eb3b1a36ce35fc94010e5b08b25aab5a71e29d73ed0c21bab7a7e87a34a5796b35a66e
Homepage: https://cran.r-project.org/package=FSK2R
Description: CRAN Package 'FSK2R' (An Interface Between the 'FSKX' Standard and 'R')
 Functions for importing, creating, editing and exporting 'FSK' files
 <https://foodrisklabs.bfr.bund.de/fskx-food-safety-knowledge-exchange-format/>
 using the 'R' programming environment. Furthermore, it enables users to run
 simulations contained in the 'FSK' files and visualize the results.

Package: r-cran-fslr
Architecture: all
Version: 2.25.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1059
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oro.nifti, r-cran-neurobase, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fslr_2.25.3-1.ca2004.1_all.deb
Size: 740080
MD5sum: 0f0d33207f65b0c8ac2c568fe603449b
SHA1: 23ca0b5952bb4c530daa87406ed57aef74dfff08
SHA256: af8b747e8d3d5c9d8416bffc4fd8d9f91c7bc5d375832e5a2a13ad54f484ecac
SHA512: b7faff1503de38c5152f8a929d81f3177acde71266218a336f9d34ce884167f06f653d6beb18cb5fc85d2f904df010443408eea60be6959272706f2c9bfb01b1
Homepage: https://cran.r-project.org/package=fslr
Description: CRAN Package 'fslr' (Wrapper Functions for 'FSL' ('FMRIB' Software Library) fromFunctional MRI of the Brain ('FMRIB'))
 Wrapper functions that interface with 'FSL'
 <http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/>, a powerful and commonly-used
 'neuroimaging' software, using system commands. The goal is to be able to
 interface with 'FSL' completely in R, where you pass R objects of class
 'nifti', implemented by package 'oro.nifti', and the function executes an
 'FSL' command and returns an R object of class 'nifti' if desired.

Package: r-cran-fsm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fsm_1.0.0-1.ca2004.1_all.deb
Size: 97588
MD5sum: 1c83ae50be49fb0144e6f0494e220cda
SHA1: 2f01820aa30c95b71a7f348d0710802e1b80a722
SHA256: 1b9575c8a02389748202e8dd90f58cbb9c6802e018ce2beec34de11796e73aef
SHA512: 723065bbebd2139a6eacecb7c60a6520b31b7e57f0e4d59c38ecf13b827ea7e31432849139f234ecd296c65896d5f0ed7d49561f194c36d9305cf261b73bf5d1
Homepage: https://cran.r-project.org/package=FSM
Description: CRAN Package 'FSM' (Finite Selection Model)
 Randomized and balanced allocation of units to treatment groups using the
 Finite Selection Model (FSM). The FSM was originally proposed and developed
 at the RAND corporation by Carl Morris to enhance the experimental design
 for the now famous Health Insurance Experiment. See Morris (1979)
 <doi:10.1016/0304-4076(79)90053-8> for details on the original version of
 the FSM.

Package: r-cran-fsmts
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-lars, r-cran-mpmi, r-cran-freqdom, r-cran-randomforestsrc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sparsevar, r-cran-plot.matrix, r-cran-svmisc, r-cran-mts
Filename: pool/dists/focal/main/r-cran-fsmts_0.1.7-1.ca2004.1_all.deb
Size: 1610032
MD5sum: 64fabd469e402681b064b91217f325d6
SHA1: b0e52e78b84f764dadb8604d3359484c18653ed0
SHA256: 47750fc149d19b0f4a5527a6d6d28de3318caf6eea64e71b87db4e68719b5665
SHA512: 7f6f296db554faf5c0c85dae69d330b91e8db01d2973fa33c69ffeb56ea470e74ba6193c85596cf67ba10333ad259901764fdc1d928f799f96d806927cbdd787
Homepage: https://cran.r-project.org/package=fsMTS
Description: CRAN Package 'fsMTS' (Feature Selection for Multivariate Time Series)
 Implements feature selection routines for multivariate time series (MTS).
 The list of implemented algorithms includes: own lags (independent MTS
 components), distance-based (using external structure, e.g. Pfeifer and
 Deutsch (1980) <doi:10.2307/1268381>), cross-correlation (see Schelter et
 al. (2006, ISBN:9783527406234)), graphical LASSO (see Haworth and Cheng
 (2014) <https://www.gla.ac.uk/media/Media_401739_smxx.pdf>), random forest
 (see Pavlyuk (2020) "Random Forest Variable Selection for Sparse Vector
 Autoregressive Models" in Contributions to Statistics, in production), least
 angle regression (see Gelper and Croux (2008)
 <https://lirias.kuleuven.be/retrieve/16024>), mutual information (see
 Schelter et al. (2006, ISBN:9783527406234), Liu et al. (2016)
 <doi:10.1109/ChiCC.2016.7554480>), and partial spectral coherence (see Davis
 et al.(2016) <doi:10.1080/10618600.2015.1092978>).  In addition, the package
 implements functions for ensemble feature selection (using feature ranking
 and majority voting).  The package is implemented within Dmitry Pavlyuk's
 research project No. 1.1.1.2/VIAA/1/16/112 "Spatiotemporal urban traffic
 modelling using big data".

Package: r-cran-fsmumi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 692
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzyr, r-cran-lsa
Filename: pool/dists/focal/main/r-cran-fsmumi_1.0-1.ca2004.1_all.deb
Size: 675204
MD5sum: 16519e8ec271b6209b6503c32537f2b9
SHA1: 7719d53902244631f9b550295f1d284c5c5bc778
SHA256: 397d1b4bed7386ed65dd4275dd3be974934350a59a539420f06dc01155d8d0f1
SHA512: f933bdfcf8099d748218ab1e910564499470e70928dde3773fc7e7b25c714cc50659633a294b55bea22553e4f752996ee5564d90ed0d197426dc867db945d7bd
Homepage: https://cran.r-project.org/package=FSMUMI
Description: CRAN Package 'FSMUMI' (Imputation of Time Series Based on Fuzzy Logic)
 Filling large gaps in low or uncorrelated multivariate time series uses a
 new fuzzy weighted similarity measure. It contains all required functions to
 create large missing consecutive values within time series and then fill
 these gaps, according to the paper Phan et al. (2018),
 <DOI:10.1155/2018/9095683>. Performance indicators are also provided to
 compare similarity between two univariate signals (incomplete signal and
 imputed signal).

Package: r-cran-fsn
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Suggests: r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-fsn_0.4-1.ca2004.1_all.deb
Size: 40132
MD5sum: 1c4cbb2fca9e941116df30f38caa735f
SHA1: e6e1277b8ee8faf311b00e16556eee18cfcab825
SHA256: 286cc9b5e08b4e3489bb6f95dc08da2d0a39caf88f310c894d7de8b6712fec05
SHA512: ede35079e51dc4692270fd902a85eb8bbe61dda648a6f35b317d0b127b1b40e4c3c195c2f2c368755153d9e15c0dbd0fd6cbe999fb9b19870b450173a2497d99
Homepage: https://cran.r-project.org/package=fsn
Description: CRAN Package 'fsn' (Rosenthal's Fail Safe Number and Related Functions)
 Estimation of Rosenthal's fail safe number including confidence intervals.
 The relevant papers are the following. Konstantinos C. Fragkos, Michail
 Tsagris and Christos C. Frangos (2014). "Publication Bias in Meta-Analysis:
 Confidence Intervals for Rosenthal's Fail-Safe Number". International
 Scholarly Research Notices, Volume 2014. <doi:10.1155/2014/825383>.
 Konstantinos C. Fragkos, Michail Tsagris and Christos C. Frangos (2017).
 "Exploring the distribution for the estimator of Rosenthal's fail-safe
 number of unpublished studies in meta-analysis". Communications in
 Statistics-Theory and Methods, 46(11):5672--5684.
 <doi:10.1080/03610926.2015.1109664>.

Package: r-cran-fspe
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-psych, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-fspe_0.1.2-1.ca2004.1_all.deb
Size: 31116
MD5sum: 234cf345551a6abd35d6e65506c2d608
SHA1: 37cdecf0250ddf239a063eb6db4a73dec3530127
SHA256: 8b44c84224e5b3cfd9ee49c43723f6cdddd5df5752a783568bc2915816e0ce8a
SHA512: 69228cc2bb528f75bc1e55b0d299aa08aec39a8ec4be42c043459e3ba0abd650ad240717c16cb1c7c81828746f8645c898b5ce064b84a7e93591fbd7beee8472
Homepage: https://cran.r-project.org/package=fspe
Description: CRAN Package 'fspe' (Estimating the Number of Factors in EFA with Out-of-SamplePrediction Errors)
 Estimating the number of factors in Exploratory Factor Analysis (EFA) with
 out-of-sample prediction errors using a cross-validation scheme. Haslbeck &
 van Bork (Preprint) <https://psyarxiv.com/qktsd>.

Package: r-cran-fsr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-sf, r-cran-dplyr, r-cran-ggplot2, r-cran-stringr, r-cran-tibble, r-cran-pso, r-cran-e1071
Suggests: r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-fsr_2.0.1-1.ca2004.1_all.deb
Size: 435196
MD5sum: bc4c4250dca3ca6e6c2e2483bae468d4
SHA1: 5da6edd78eaee65d4fe8deb0ba67625b0a088d41
SHA256: aec02b0c215a08f5b084052e46056c1bdde11d4c732698d0185bf819e8cdc3fb
SHA512: 85e4b82181c45686972d2d9090d5d5edb32f3c578b8bc3a952015ff3148edb224ee69979d3fcdce0f9175119f8d9f3a570762ef629131f2ca5ed279538c22a07
Homepage: https://cran.r-project.org/package=fsr
Description: CRAN Package 'fsr' (Handling Fuzzy Spatial Data)
 Support for fuzzy spatial objects, their operations, and fuzzy spatial
 inference models based on Spatial Plateau Algebra.  It employs fuzzy set
 theory and fuzzy logic as foundation to deal with spatial fuzziness.  It
 mainly implements underlying concepts defined in the following research
 papers: (i) "Spatial Plateau Algebra: An Executable Type System for Fuzzy
 Spatial Data Types" <doi:10.1109/FUZZ-IEEE.2018.8491565>; (ii) "A Systematic
 Approach to Creating Fuzzy Region Objects from Real Spatial Data Sets"
 <doi:10.1109/FUZZ-IEEE.2019.8858878>; (iii) "Spatial Data Types for
 Heterogeneously Structured Fuzzy Spatial Collections and Compositions"
 <doi:10.1109/FUZZ48607.2020.9177620>; (iv) "Fuzzy Inference on Fuzzy Spatial
 Objects (FIFUS) for Spatial Decision Support Systems"
 <doi:10.1109/FUZZ-IEEE.2017.8015707>; (v) "Evaluating Region Inference
 Methods by Using Fuzzy Spatial Inference Models"
 <doi:10.1109/FUZZ-IEEE55066.2022.9882658>.

Package: r-cran-fsrm
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-plyr, r-cran-reshape2, r-cran-ggplot2, r-cran-scales, r-cran-foreign, r-cran-tcltk2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-fsrm_0.6.5-1.ca2004.1_all.deb
Size: 221768
MD5sum: 62928aa70fb06c4c9fb575f86a1b6121
SHA1: cf4dc67b62957766a255b1004f5342a003285215
SHA256: 7eb4befdbf209b3ba8b2994d7c9bec173f6e9422f8ae4e98b571051ac069178e
SHA512: 940380181ef7532a45a9344a47165c4db08156f61b3b55a22646b62d498fe5d7578588dca314ff38a2401b8d09ce41ff4880a636b8b6045950e6ac04f0403a1e
Homepage: https://cran.r-project.org/package=fSRM
Description: CRAN Package 'fSRM' (Social Relations Analyses with Roles ("Family SRM"))
 Social Relations Analysis with roles ("Family SRM") are computed, using a
 structural equation modeling approach. Groups ranging from three members up
 to an unlimited number of members are supported and the mean structure can
 be computed. Means and variances can be compared between different groups of
 families and between roles.

Package: r-cran-fst4pg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1367
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-fpopw, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-gplots, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-fst4pg_1.0.0-1.ca2004.1_all.deb
Size: 1226064
MD5sum: 55744c9f8e9cf596b952dc5557569523
SHA1: 391b41ca97f444e6041fb6debc03b990da69b2c4
SHA256: 733d7ec34d1490587d9b0a213cb4ba41ab591886e5ced39a505c5b0427afeebb
SHA512: 2eb1df5189735c3ffeceb4d37fe4212115d826f67eec1935a62491f0630bca62b6e147df3c8a352c34dfeeaa92fa68a1a72d4c9bf2d68803f6917a2511816bf7
Homepage: https://cran.r-project.org/package=fst4pg
Description: CRAN Package 'fst4pg' (Genetic Distance Segmentation for Population Genetics)
 Provides efficient methods to compute local and genome wide genetic
 distances (corresponding to the so called Hudson Fst parameters) through
 moment method, perform chromosome segmentation into homogeneous Fst genomic
 regions, and selection sweep detection for multi-population comparison. When
 multiple profile segmentation is required, the procedure can be parallelized
 using the future package.

Package: r-cran-fstability
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fstability_0.1.2-1.ca2004.1_all.deb
Size: 12536
MD5sum: bec231470598adf05d206559cac8cc7d
SHA1: 3c90cc5806afcc2d74c924494b00093c443363e1
SHA256: 37a0b22173def2e1007222e90fecbc541db835d93e8d4dafbf585e06440026e0
SHA512: c84304405190f24aca6f6c88dc774f6f9a21006c4ed6e41b0e0fdf6b26d8a9de2db97f0839033d446cea688b3701a017ccbd129973bdbdfaab477091b3d64178
Homepage: https://cran.r-project.org/package=Fstability
Description: CRAN Package 'Fstability' (Calculate Feature Stability)
 Has two functions to help with calculating feature selection stability.
 'Lump' is a function that groups subset vectors into a dataframe, and adds
 NA to shorter vectors so they all have the same length.  'ASM' is a function
 that takes a dataframe of subset vectors and the original vector of features
 as inputs, and calculates the Stability of the feature selection.  The
 calculation for 'asm' uses the Adjusted Stability Measure proposed in:
 'Lustgarten', 'Gopalakrishnan', & 'Visweswaran'
 (2009)<https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2815476/>.

Package: r-cran-fsthet
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3616
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fsthet_1.0.1-1.ca2004.1_all.deb
Size: 1139488
MD5sum: f7afc743fdea4624664cfb6eb04b3a9c
SHA1: 4342cde99224ef2d1e0bc7241c343d927f2385c4
SHA256: 00cde6d13659ef6f6bb79595b34babef620639b2234f77134adde63b6b78be1d
SHA512: 1410849a343b9f44510d774ae92fa39ef96a00ef181a87b69b30a1854314d3bc5d1fbc79647918f9ab08cfae4b32cdfd2ef5470ece2045752d2151e7e14bc286
Homepage: https://cran.r-project.org/package=fsthet
Description: CRAN Package 'fsthet' (Fst-Heterozygosity Smoothed Quantiles)
 A program to generate smoothed quantiles for the Fst-heterozygosity
 distribution. Designed for use with large numbers of loci (e.g., genome-wide
 SNPs). The best case for analyzing the Fst-heterozygosity distribution is
 when many populations (>10) have been sampled. See Flanagan & Jones (2017)
 <doi:10.1093/jhered/esx048>.

Package: r-cran-fstpackage
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-skat, r-cran-matrix, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-fstpackage_0.1-1.ca2004.1_all.deb
Size: 1127144
MD5sum: d99d002bbc22cba4eae6c3d0d7a5d413
SHA1: da059683bcb358acf63b7c1b53ebd40ea5ca81a4
SHA256: 852420245fca01d37bf00e6425412cdca1de2720c1cb450e45d1c81638836d1a
SHA512: 774eec67166b926864e1ab48cd232533f68603b5405a1cfb5eb6b7a0b107f4513e1318456adf0a60668ba6b0762fdec814319e6333c007a52b1d6b1e130af02a
Homepage: https://cran.r-project.org/package=FSTpackage
Description: CRAN Package 'FSTpackage' (Unified Sequence-Based Association Tests Allowing for MultipleFunctional Annotation Scores)
 Functions for sequencing studies allowing for multiple functional annotation
 scores. Score type tests and an efficient perturbation method are used for
 individual gene/large gene-set/genome wide analysis. Only summary statistics
 are needed.

Package: r-cran-ftaproxim
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ftaproxim_0.0.1-1.ca2004.1_all.deb
Size: 31056
MD5sum: 1d6d3811c23c52a90ba7e7567c686eb2
SHA1: c4a514b5a86e7841a1ea17163479d4414dae14f9
SHA256: d87baaeaba53fc7042b5ab0a07a508d62b8a5919576ea137bcf0e813e95ad000
SHA512: 016c13e59566da2c9db04e4620d9981b0f89e8ad66a1bf2a1886231c814d19eeaa53a60aee2967abcf3ee791c61335fa1dafaf0c0ad82f92ed4f27b659024bc3
Homepage: https://cran.r-project.org/package=ftaproxim
Description: CRAN Package 'ftaproxim' (Fault Tree Analysis Based on Proxel Simulation)
 Calculation and plotting of instantaneous unavailabilities of basic events
 along with the top event of fault trees are issues important in reliability
 analysis of complex systems. Here, a fault tree is provided in terms of its
 minimal cut sets, along with reliability and maintainability distribution
 functions of the basic events. All the methods are derived from Horton
 (2002, ISBN: 3-936150-21-4), Niloofar and Lazarova-Molnar (2022).

Package: r-cran-ftdk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-pbapply, r-cran-purrr, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ftdk_1.0-1.ca2004.1_all.deb
Size: 18788
MD5sum: ba9cc27485073f67c3317aadbadde841
SHA1: e56d10d672e901acac16149c3e1f045ba2d70d16
SHA256: fcf6fe21152454d29c62968e60522992c9dd1da608d52fe39849b7d426726671
SHA512: d4d80b1206efc32e22ce126f5549e7278e58cb6baa2ba9bdbc88d973a4e72f43e98eb1e404c7f831afbb8920e3e3311b8bc6c02fd85c99c0e246771aa08695a9
Homepage: https://cran.r-project.org/package=ftDK
Description: CRAN Package 'ftDK' (A Wrapper for the API of the Danish Parliament)
 A wrapper for the API of the Danish Parliament. It makes it possible to get
 data from the API easily into a data frame. Learn more at
 <http://www.ft.dk/dokumenter/aabne_data>.

Package: r-cran-ftextra
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-flextable, r-cran-tidyr, r-cran-purrr, r-cran-magrittr, r-cran-rmarkdown, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyselect, r-cran-xfun, r-cran-yaml, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-ftextra_0.6.4-1.ca2004.1_all.deb
Size: 206432
MD5sum: 2cf997b7e629917825495e67edc96008
SHA1: 2b8f8654908a4c364ecfa99daa759e197788d6fe
SHA256: 9099520d4ace15e5171995576a17053e721874c566905206bb0ed0802f910fb3
SHA512: becc979ad2c9190b5bdedd257a0f09e3b3c1d349fd8fa5f8ce6a036848b319313f52cd36023bceefadc7c1e2833b2a90d1823b50b7ae1482e8f38fcb10ffa91e
Homepage: https://cran.r-project.org/package=ftExtra
Description: CRAN Package 'ftExtra' (Extensions for 'Flextable')
 Build display tables easily by extending the functionality of the
 'flextable' package. Features include spanning header, grouping rows,
 parsing markdown and so on.

Package: r-cran-ftrading
Architecture: all
Version: 3042.79-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-timedate, r-cran-timeseries, r-cran-fbasics
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-ftrading_3042.79-1.ca2004.1_all.deb
Size: 98316
MD5sum: 475553201824e0d469b6fbbc425894e6
SHA1: 656f61d1d993f0a5a4d1f2716c3135e73c8dc0b6
SHA256: d91d8299e406f5ffeadf431bb3063f1c826f92f3333ab4e07d38d49620ef69f3
SHA512: 295ca3f866b64a2cbac961be8f185e35a52981b2e75cdb22b4eeed427769d87f6f62b76cc78b49d71b976d73a51ec3422045a321456aad8b1da2636bc2a11ed2
Homepage: https://cran.r-project.org/package=fTrading
Description: CRAN Package 'fTrading' (Rmetrics - Trading and Rebalancing Financial Instruments)
 A collection of functions for trading and rebalancing financial instruments.
 It implements various technical indicators to analyse time series such as
 moving averages or stochastic oscillators.

Package: r-cran-ftrcool
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2773
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ftrcool_2.0.0-1.ca2004.1_all.deb
Size: 1410188
MD5sum: 0dc8ec384fa93974323d8cf1e08a8a86
SHA1: 275c34852841bcc8b1d41fd798ac0fc369a0ac53
SHA256: f4c43e19781b01b4da4daadba6ab3388acb0e7c65694e18f56d24a086cad98ff
SHA512: 1d1f47d17b949960c8d9dfbed82b651afc53dc3ff9d3a450dddf2f456d02494f0dc34329dba535b74accbca41aef4eaff8b3c13e4fe1ea6c6593ad0b6db88601
Homepage: https://cran.r-project.org/package=ftrCOOL
Description: CRAN Package 'ftrCOOL' (Feature Extraction from Biological Sequences)
 Extracts features from biological sequences. It contains most features which
 are presented in related work and also includes features which have never
 been introduced before. It extracts numerous features from nucleotide and
 peptide sequences. Each feature converts the input sequences to discrete
 numbers in order to use them as predictors in machine learning models. There
 are many features and information which are hidden inside a sequence.
 Utilizing the package, users can convert biological sequences to discrete
 models based on chosen properties. References: 'iLearn' 'Z. Chen et al.'
 (2019) <DOI:10.1093/bib/bbz041>. 'iFeature' 'Z. Chen et al.' (2018)
 <DOI:10.1093/bioinformatics/bty140>.
 <https://CRAN.R-project.org/package=rDNAse>. 'PseKRAAC' 'Y. Zuo et al.'
 'PseKRAAC: a flexible web server for generating pseudo K-tuple reduced amino
 acids composition' (2017) <DOI:10.1093/bioinformatics/btw564>.
 'iDNA6mA-PseKNC' 'P. Feng et al.' 'iDNA6mA-PseKNC: Identifying DNA
 N6-methyladenosine sites by incorporating nucleotide physicochemical
 properties into PseKNC' (2019) <DOI:10.1016/j.ygeno.2018.01.005>. 'I.
 Dubchak et al.' 'Prediction of protein folding class using global
 description of amino acid sequence' (1995) <DOI:10.1073/pnas.92.19.8700>.
 'W. Chen et al.' 'Identification and analysis of the N6-methyladenosine in
 the Saccharomyces cerevisiae transcriptome' (2015) <DOI:10.1038/srep13859>.

Package: r-cran-ftsa
Architecture: all
Version: 6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-rainbow, r-cran-sde, r-cran-colorspace, r-cran-mass, r-cran-pcapp, r-cran-fda, r-cran-pdfcluster, r-cran-ecp, r-cran-strucchange, r-cran-e1071, r-cran-psych, r-cran-fgarch, r-cran-kernsmooth, r-cran-vars, r-cran-boot, r-cran-fdapace, r-cran-laplacesdemon, r-cran-evgam, r-cran-roopsd, r-cran-glue
Suggests: r-cran-fds, r-cran-r2jags, r-cran-meboot
Filename: pool/dists/focal/main/r-cran-ftsa_6.6-1.ca2004.1_all.deb
Size: 2250040
MD5sum: a3cf1c94f8118e24bd10c42cedf0c01a
SHA1: 3c54caca48169422970abf557dc07d8add8148f5
SHA256: 3e9ad1993dd6d17fc79c6c32fc3cf94e6c29b024d146274dbe74d4a516936f0e
SHA512: 5daf77c010202d2fe0977962503bbd558f25f9f022cfea98cc9db6b34c58cb82687b771f279dddf94c541fc43bd1e74d28cc020325fe3ed5d368366688318848
Homepage: https://cran.r-project.org/package=ftsa
Description: CRAN Package 'ftsa' (Functional Time Series Analysis)
 Functions for visualizing, modeling, forecasting and hypothesis testing of
 functional time series.

Package: r-cran-ftsgof
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sde, r-cran-rgl, r-cran-fda, r-cran-nloptr, r-cran-sfsmisc, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ftsgof_1.0.0-1.ca2004.1_all.deb
Size: 538444
MD5sum: ed409603ae7888381050118a5e250413
SHA1: 0bae1798e0775677a033cd2fcdfeda86f0732df2
SHA256: e1b193f9e9fa363ae38023e35d7a278511a16402153592373268e156dc013fc9
SHA512: d4c21c1405816d3bef21f3c3a966a1b8e482b2670781c7242c0becd5c0dca1b19b0314b2121cc951dfc8d19c75df8bf6ce1ba34c07d22bf4951995acda6b7b3f
Homepage: https://cran.r-project.org/package=FTSgof
Description: CRAN Package 'FTSgof' (White Noise and Goodness-of-Fit Tests for Functional Time Series)
 It offers comprehensive tools for the analysis of functional time series
 data, focusing on white noise hypothesis testing and goodness-of-fit
 evaluations, alongside functions for simulating data and advanced
 visualization techniques, such as 3D rainbow plots. These methods are
 described in Kokoszka, Rice, and Shang (2017)
 <doi:10.1016/j.jmva.2017.08.004>, Yeh, Rice, and Dubin (2023)
 <doi:10.1214/23-EJS2112>, Kim, Kokoszka, and Rice (2023)
 <doi:10.1214/23-ss143>, and Rice, Wirjanto, and Zhao (2020)
 <doi:10.1111/jtsa.12532>.

Package: r-cran-ftsspec
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sna
Filename: pool/dists/focal/main/r-cran-ftsspec_1.0.0-1.ca2004.1_all.deb
Size: 85924
MD5sum: 1e95cdf3032b12506bc7751d780f1eb0
SHA1: 94e0ec08ee9dabc2c7b7175434832bf7291024f2
SHA256: 35129c3f4c29b3d28422a96b0d611b4d182a16d86f8bc06a36d92a2377870efb
SHA512: b9f04a4c213b92e26a66b60f5bc444f1e60fdf504218a863553f03f768c25b932adbf89022a6ec8e05e64e6cde39a02b9cf8aa0b23ad3ebe8926bfc4e568d289
Homepage: https://cran.r-project.org/package=ftsspec
Description: CRAN Package 'ftsspec' (Spectral Density Estimation and Comparison for Functional TimeSeries)
 Functions for estimating spectral density operator of functional time series
 (FTS) and comparing the spectral density operator of two functional time
 series, in a way that allows detection of differences of the spectral
 density operator in frequencies and along the curve length.

Package: r-cran-fucom
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nloptr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fucom_0.0.4-1.ca2004.1_all.deb
Size: 19748
MD5sum: 33bfdd6669910854ef8eac46a09f2e40
SHA1: 1164ca312e5cf506669a065963a1b6089597600e
SHA256: 1e0e027dd1b7abfd49ded96da8d6650b42828b91f7a73dd933c333fc5f921070
SHA512: 6e3a096fa63d7899194833524f3901436272790529364fbd15e9185cc4d6fa6ba6e0a9ab6fe8b2cf2c61727f02841d5acfeb0d5cd062bf4893c263a77390d024
Homepage: https://cran.r-project.org/package=fucom
Description: CRAN Package 'fucom' (Full Consistency Method (FUCOM))
 Full Consistency Method (FUCOM) for multi-criteria decision-making (MCDM),
 developed by Dragam Pamucar in 2018 (<doi:10.3390/sym10090393>). The goal of
 the method is to determine the weights of criteria such that the deviation
 from full consistency is minimized. Users provide a character vector
 specifying the ranking of each criterion according to its significance,
 starting from the criterion expected to have the highest weight to the least
 significant one. Additionally, users provide a numeric vector specifying the
 priority values for each criterion. The comparison is made with respect to
 the first-ranked (most significant) criterion. The function returns the
 optimized weights for each criterion (summing to 1), the comparative
 priority (Phi) values, the mathematical transitivity condition (w) value,
 and the minimum deviation from full consistency (DFC).

Package: r-cran-fude
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3545
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-glue, r-cran-leaflet, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-shiny, r-cran-tidyr, r-cran-units
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fude_0.3.7-1.ca2004.1_all.deb
Size: 3336424
MD5sum: f127a1874154832f2d4685c1ecc58db8
SHA1: fca3c0aedc8e7144f046122cac964b1edcdd497e
SHA256: e2987954563dc2de9d1b3fd0f6fcaf863ee3c700281311a6032c8e05055d8201
SHA512: 3e8251d2b6aca2d2a395b817171c9076375db3e603a2d6f64d1c7afe6ce8c18c9a4a57af50e83899a96c7f7a4246994c8d2c0252140e932802778122e4351601
Homepage: https://cran.r-project.org/package=fude
Description: CRAN Package 'fude' (Utilities for Fude Polygon)
 Provides utilities to facilitate handling of Fude Polygon data downloadable
 from the Ministry of Agriculture, Forestry and Fisheries website
 <https://open.fude.maff.go.jp>.

Package: r-cran-fuel
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fuel_1.2.0-1.ca2004.1_all.deb
Size: 75968
MD5sum: c6d85dfd5a2de8aea56f615429f78758
SHA1: a803e315803e33097e216fc23ec0caab7712fd71
SHA256: 97a9add18c59f7aa4e92bda6a81a1a1839a78bf4eae4b8f164320e3bb179d0e1
SHA512: 6b391b6c4336fad2c0013f6ce0e488e59a2eaec55e762cb0969b556b6c4ee6ab9aba9120d8ddb6c1ba99f0c2490c85486b7181538b81dba28fe626d51566252c
Homepage: https://cran.r-project.org/package=fuel
Description: CRAN Package 'fuel' (Framework for Unified Estimation in Lognormal Models)
 Lognormal models have broad applications in various research areas such as
 economics, actuarial science, biology, environmental science and psychology.
 The estimation problem in lognormal models has been extensively studied.
 This R package 'fuel' implements thirty-nine existing and newly proposed
 estimators. See Zhang, F., and Gou, J. (2020), A unified framework for
 estimation in lognormal models, Technical report.

Package: r-cran-fueleconomy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fueleconomy_1.0.0-1.ca2004.1_all.deb
Size: 250064
MD5sum: 8de61a36f2e7d4c1df5d3678550e5e4f
SHA1: cdb12c67009c2d59addef95b2cd4596d3278fc07
SHA256: c7be0ee560bd6c832ef6c60220a009729552fd30f3a040ed0f6c13f2b150e173
SHA512: e3aa2fb931810b75fa882f5d723ff07836fc0371e49ff42a7610d7c74d7bca38abfd1531fdffa8c36112d7b98ed4653fe71058a24319c54d1c1910ca6a6a3bc0
Homepage: https://cran.r-project.org/package=fueleconomy
Description: CRAN Package 'fueleconomy' (EPA Fuel Economy Data)
 Fuel economy data from the EPA, 1985-2015, conveniently packaged for
 consumption by R users.

Package: r-cran-fugue
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fugue_0.1.7-1.ca2004.1_all.deb
Size: 68472
MD5sum: d5b672e72ae93a8328f8113ced1bbe68
SHA1: a4bc7b7fd5da7533c8c42cd3fea7175d0c87e8d2
SHA256: 9beb4fc583a72b015991386560818dac1764e3e9c080226b9754b86e7a0f7d9a
SHA512: 28f3a6ff0b3b46fb6576b668a5255e0866fa8541eac025a6909056b08e1c0eeca94e57c180775a6b1ec3adbd98b9ae46c7da28f25d4df6d1caf82a83f33e1e55
Homepage: https://cran.r-project.org/package=fugue
Description: CRAN Package 'fugue' (Sensitivity Analysis Optimized for Matched Sets of Varied Sizes)
 As in music, a fugue statistic repeats a theme in small variations.  Here,
 the psi-function that defines an m-statistic is slightly altered to maintain
 the same design sensitivity in matched sets of different sizes.  The main
 functions in the package are sen() and senCI().  For sensitivity analyses
 for m-statistics, see Rosenbaum (2007) Biometrics 63 456-464
 <doi:10.1111/j.1541-0420.2006.00717.x>.

Package: r-cran-fuj
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuj_0.2.2-1.ca2004.1_all.deb
Size: 169388
MD5sum: e4bf5d923dd997796efba292e278355f
SHA1: 49cf1df948dc210f3fb0a32f01a0b066a81d099f
SHA256: ce3cc5f8e33a68c1fe40235f2c914cc052bed6759a3e4dbe1c349d4a6cf2072d
SHA512: 21e32fcc859de2e18a3513f79c96a30f489d1b6718ecb6a9e00eed9880014b8191a9c77df43c16791cc4dc863e712282c8ddcd72b468cb1c07e1330d4b8541b3
Homepage: https://cran.r-project.org/package=fuj
Description: CRAN Package 'fuj' (Functions and Utilities for Jordan)
 Provides core functions and utilities for packages and other code developed
 by Jordan Mark Barbone.

Package: r-cran-fullfact
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1542
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-afex
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fullfact_1.5.2-1.ca2004.1_all.deb
Size: 740488
MD5sum: 13c99378a741ac96a8c06a2a1c01afe5
SHA1: 1f4ea2bdb655ee2e1d694b6652fafb9354979ff3
SHA256: c3b577c415a41fc9305373a6255e2d81d48072333548c11a45c4b0bda38aea11
SHA512: 55919a61127ae9100ab95c984ef5f943f2a9175e3ff7c95dc72a39c3034294ea5ad983b987a6960393684ab0f2fb2de46625e4e015538ffb7d540c64e3d24d00
Homepage: https://cran.r-project.org/package=fullfact
Description: CRAN Package 'fullfact' (Full Factorial Breeding Analysis)
 We facilitate the analysis of full factorial mating designs with
 mixed-effects models. The package contains six vignettes containing detailed
 examples.

Package: r-cran-fullrankmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1788
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-testthat, r-cran-weightit, r-cran-caret, r-cran-plm, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fullrankmatrix_0.1.0-1.ca2004.1_all.deb
Size: 1011912
MD5sum: bd73735d580f8267c21547f377bbcc93
SHA1: 05e9071c69f365cfa55d2dc1da049c5ee3125ecb
SHA256: 16bd9060a6ae5c4f2d1d8d1cb0941c860592a4ac91bac3bc65f1930243df9632
SHA512: 7293609f8b12afeadd0f2de7b96a085dd6c9d9778b3101f8d5130ef5cd57f9c1ef9dc0c6bf7847709310a8b8d167e13753891354fe539ba0ec9a90a91165b6c9
Homepage: https://cran.r-project.org/package=fullRankMatrix
Description: CRAN Package 'fullRankMatrix' (Generation of Full Rank Design Matrix)
 Creates a full rank matrix out of a given matrix.  The intended use is for
 one-hot encoded design matrices that should be used in linear models to
 ensure that significant associations can be correctly interpreted. However,
 'fullRankMatrix' can be applied to any matrix to make it full rank.  It
 removes columns with only 0's, merges duplicated columns and discovers
 linearly dependent columns and replaces them with linearly independent
 columns that span the space of the original columns. Columns are renamed to
 reflect those modifications.  This results in a full rank matrix that can be
 used as a design matrix in linear models. The algorithm and some functions
 are inspired by Kuhn, M. (2008) <doi:10.18637/jss.v028.i05>.

Package: r-cran-fullroc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fullroc_0.1.0-1.ca2004.1_all.deb
Size: 45520
MD5sum: 727689def11cb8d7f85d27c5bf1c33dd
SHA1: aa4d0f4330c252651b1573e8949ea74b84874b90
SHA256: 76f120fdf87395c0e8b4d87e8566ee86982c11eefe67ddaf8cc5f83feef68f17
SHA512: a4096f81f3a07d177f6a28458c7145b4f83b17afb2fff6fdeaa9ecdd1d75c6154ed0c957afbe57580a8a773396f1928be639ce680479848b6c5ff81cc09ace18
Homepage: https://cran.r-project.org/package=fullROC
Description: CRAN Package 'fullROC' (Plot Full ROC Curves using Eyewitness Lineup Data)
 Enable researchers to adjust identification rates using the 1/(lineup size)
 method, generate the full receiver operating characteristic (ROC) curves,
 and statistically compare the area under the curves (AUC).  References:
 Yueran Yang & Andrew Smith. (2020). "fullROC: An R package for generating
 and analyzing eyewitness-lineup ROC curves".
 <doi:10.13140/RG.2.2.20415.94885/1> , Andrew Smith, Yueran Yang, & Gary
 Wells. (2020). "Distinguishing between investigator discriminability and
 eyewitness discriminability: A method for creating full receiver operating
 characteristic curves of lineup identification performance". Perspectives on
 Psychological Science, 15(3), 589-607. <doi:10.1177/1745691620902426>.

Package: r-cran-fun
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fun_0.3-1.ca2004.1_all.deb
Size: 144248
MD5sum: 8ce6e7e0f600220ee06a34c52fd5fe2f
SHA1: 4c60bc84be39418dc4b3df0e214be9a44eaec132
SHA256: 9b2fa8e46bab3d426bdf288a216803f3adf7739499c5cf85d8b9f655898b1c93
SHA512: e8fa4bc8f676dbd342b0354e6d61d240fb335ac6258b0db4e1063e4d89ab896e0ef90d1347b35f46e7ce42df36d1b2dd099ec18e9640936e8036646c87da7e7a
Homepage: https://cran.r-project.org/package=fun
Description: CRAN Package 'fun' (Use R for Fun)
 This is a collection of R games and other funny stuff, such as the classic
 Mine sweeper and sliding puzzles.

Package: r-cran-funcc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-narray, r-cran-biclust, r-cran-reshape, r-cran-rcolorbrewer, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-funcc_1.0-1.ca2004.1_all.deb
Size: 498596
MD5sum: 4af42b8218b70fbd2326bc4b6f4631a4
SHA1: 43cf9377e0959289795ac2f9bd734d056995a7e7
SHA256: 20b13a81f069f23a4bb11fc197821bc268b39c757e98446331f9a64f5ef1fc1b
SHA512: 922a1a153b45dda397e7f6174acb6902499482954f70087b27958c8e61a8f4d5c45a5de737d81a03be491ad77c62e622907a1c11885232ed5f5f76a3f8225a85
Homepage: https://cran.r-project.org/package=FunCC
Description: CRAN Package 'FunCC' (Functional Cheng and Church Bi-Clustering)
 The FunCC algorithm allows to apply the FunCC algorithm to simultaneously
 cluster the rows and the columns of a data matrix whose inputs are
 functions.

Package: r-cran-funchir
Architecture: all
Version: 0.3.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-funchir_0.3.0-1-1.ca2004.1_all.deb
Size: 31328
MD5sum: 391a867a14e0573e0d3e9d5885822743
SHA1: 753c702a260597b7353e19ea411b73ea6bf6e35c
SHA256: 1deffd3781e492792f06cb25099550accb5911265919d836ced688cb241eedb9
SHA512: 0440adb47936e7e1a7496a14f1053b731bdaeaba704f662be327758f9d23cf6afb5743e4ff09298379afd1a2f5656967d36180a2851645c242d430a5fbbe62c8
Homepage: https://cran.r-project.org/package=funchir
Description: CRAN Package 'funchir' (Convenience Functions by Michael Chirico)
 YACFP (Yet Another Convenience Function Package). get_age() is a fast &
 accurate tool for measuring fractional years between two dates.
 stale_package_check() tries to identify any library() calls to unused
 packages.

Package: r-cran-funcmap
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvbutils
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-funcmap_1.0.10-1.ca2004.1_all.deb
Size: 30012
MD5sum: 0b87e1ca446b9abf411ae804638aa800
SHA1: c1642801ff2a5640248c92f3ef9e8b316927a633
SHA256: f7f3982587fe639506dda1dc55b054eb876fe0f35c3538b80653e44958457992
SHA512: be6a395a86e8866262c7ae3a3b3b44862bed70597131d62fef2da1cf488f02ec2fbae6f8465dd38f71f412cddb63e1efe3a537f4ee9c40bdc0cbc9051c2da62c
Homepage: https://cran.r-project.org/package=FuncMap
Description: CRAN Package 'FuncMap' (Hive Plots of R Package Function Calls)
 Analyzes the function calls in an R package and creates a hive plot of the
 calls, dividing them among functions that only make outgoing calls
 (sources), functions that have only incoming calls (sinks), and those that
 have both incoming calls and make outgoing calls (managers).  Function calls
 can be mapped by their absolute numbers, their normalized absolute numbers,
 or their rank.  FuncMap should be useful for comparing packages at a high
 level for their overall design.  Plus, it's just plain fun.  The hive plot
 concept was developed by Martin Krzywinski (www.hiveplot.com) and inspired
 this package.  Note: this package is maintained for historical reasons.
 HiveR is a full package for creating hive plots.

Package: r-cran-funcnn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-fda.usc, r-cran-fda, r-cran-ggplot2, r-cran-ggpubr, r-cran-caret, r-cran-pbapply, r-cran-reshape2, r-cran-flux, r-cran-doparallel, r-cran-foreach, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-funcnn_1.0-1.ca2004.1_all.deb
Size: 244816
MD5sum: da2a15d5dbf39b8b38b7ec8502509e31
SHA1: 07c797a956bfde53d0ff0f70d536ef35d6b60554
SHA256: 990d8343da26c581b0f0e92ac834aaeb183170d02d2e33a3ac0b82bb645cd4cc
SHA512: 4340f4d9ca893873fcbfb5efa7ebd10dac3449152fe0d0f1a029dfd13b8a9c8a440b8a580e9f9b2dc8b1b0f764b3cff8734f7e0ec602755990963b36d18aaa70
Homepage: https://cran.r-project.org/package=FuncNN
Description: CRAN Package 'FuncNN' (Functional Neural Networks)
 A collection of functions which fit functional neural network models. In
 other words, this package will allow users to build deep learning models
 that have either functional or scalar responses paired with functional and
 scalar covariates. We implement the theoretical discussion found in Thind,
 Multani and Cao (2020) <arXiv:2006.09590> through the help of a main fitting
 and prediction function as well as a number of helper functions to assist
 with cross-validation, tuning, and the display of estimated functional
 weights.

Package: r-cran-functansnp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-glmnet, r-cran-lava, r-cran-mass, r-cran-fda, r-cran-fundata
Filename: pool/dists/focal/main/r-cran-functansnp_0.1.0-1.ca2004.1_all.deb
Size: 99820
MD5sum: 1fedcdddaec00938295aa8cee7c1aa16
SHA1: 713def39806146707b09b2dae2e1d66b9ce5ffb5
SHA256: 4ac8217a10b6ebb0726e018856c8db137be16d4a417cc2a95be533ffd16ac5df
SHA512: 77e764d12629789b6b68640cfeedcb79fc3e657ce44264982975e3b7daf45ad2a598f637cde02a5121bf8c1a6dd0f3a7d91452af1247aa6bf96ef648c76198ad
Homepage: https://cran.r-project.org/package=FunctanSNP
Description: CRAN Package 'FunctanSNP' (Functional Analysis (with Interactions) for Dense SNP Data)
 An implementation of revised functional regression models for multiple
 genetic variation data, such as single nucleotide polymorphism (SNP) data,
 which provides revised functional linear regression models, partially
 functional interaction regression analysis with penalty-based techniques and
 corresponding drawing functions, etc.(Ruzong Fan, Yifan Wang, James L.
 Mills, Alexander F. Wilson, Joan E. Bailey-Wilson, and Momiao Xiong (2013)
 <doi:10.1002/gepi.21757>).

Package: r-cran-functclust
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4095
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcompview, r-cran-clustercrit
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-functclust_0.1.6-1.ca2004.1_all.deb
Size: 2823968
MD5sum: fd8b69d3b8b1e0e5860d93a3d6b8aeb9
SHA1: eb5212276c9d49ea896d40e9f87e49e5ca825274
SHA256: 07c8fd76a557d9bfc8b97207982340b0a6b38348f8a366798b2ac74ef68b99d8
SHA512: 2c443219254964027ca75592377d4d112af64406510195657fa1b2963390e11ca395d09d25d3546e3a737e767a435b27554d047780076196295899a0aad943c6
Homepage: https://cran.r-project.org/package=functClust
Description: CRAN Package 'functClust' (Functional Clustering of Redundant Components of a System)
 Cluster together the components that make up an interactive system on the
 basis of their functional redundancy for one or more collective, systemic
 performances.  Plot the hierarchical tree of component clusters, the
 modelled and predicted performances of component assemblages, and other
 results associated with a functional clustering.  Test and prioritize the
 significance of the different components that make up the interactive
 system, of the different assemblages of components that make up the dataset,
 and of the different performances observed on the component assemblages.
 The method finds application in ecology, for instance, where the system is
 an ecosystem, the components are organisms or species, and the systemic
 performance is the production of biomass or the respiration of the
 ecosystem.  The method is extensively described in Jaillard B, Deleporte P,
 Loreau M, Violle C (2018) "A combinatorial analysis using observational data
 identifies species that govern ecosystem functioning"
 <doi:10.1371/journal.pone.0201135>.

Package: r-cran-functional
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-functional_0.6-1.ca2004.1_all.deb
Size: 19672
MD5sum: 8300287e480b0514cb123dc5204bf694
SHA1: d063e3b783b3d4862868c0b7bd7d4f800ae2323c
SHA256: aebb1eabe1d818aa2ae5ab7c7d346385398741530a13e7a6bcf3a3f2fdcee8c8
SHA512: 32b36720efd18b548b7e258aface9a3074793c841e347e6588981ff8d13908a7562531c660484484fac207eb3cda6003243a7c658c46cd1a33c45e5ccdc5f3c7
Homepage: https://cran.r-project.org/package=functional
Description: CRAN Package 'functional' (Curry, Compose, and other higher-order functions)
 Curry, Compose, and other higher-order functions

Package: r-cran-functionalcalibration
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 852
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-functionalcalibration_1.0.0-1.ca2004.1_all.deb
Size: 838272
MD5sum: 74bf05d11a71458420cba384e51b1ffd
SHA1: 57affc302ab650f9100b9437d917a1d76ee34f1a
SHA256: f19693022ef7224d12a2fb0986cadfc972c87db4cea72174301945f7a1c63486
SHA512: e2c425d540e0539d61592c868e5e0c37538b774aa6e0f62456df7e5ebfb70342a723423f45d72340f39ff9460a14d9f62820892354814e4129b516a91218d4f6
Homepage: https://cran.r-project.org/package=FunctionalCalibration
Description: CRAN Package 'FunctionalCalibration' (Aggregated Functional Data Calibration using Splines andWavelets)
 Implements methods for calibrating an aggregated functional data model using
 wavelets or splines. Each aggregated curve is modeled as a linear
 combination of component functions and known weights. The component
 functions are estimated using wavelets or splines. The package is based on
 dos Santos Sousa (2024) <doi:10.1515/mcma-2023-2016> and Saraiva and Dias
 (2009) <doi:10.47749/T/UNICAMP.2009.471073>.

Package: r-cran-functiondepends
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-purrr, r-cran-magrittr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-functiondepends_0.2.3-1.ca2004.1_all.deb
Size: 442192
MD5sum: 8549b367ec685a6ad8c321376aaef42e
SHA1: 1d52ee4dd182020ca5f11ccba18fd7495281834b
SHA256: 1bdac8afcf54dea0d7ab6d49870a64ba445e01ef009e4503c8d58fd6a07d47c5
SHA512: f5337d27edb8c7d0f19afed338757adadc409597e2e95c02c0819c24a8704fa459f8f96c12fbb260ee5487c17ee5f74c519c1dd425f85b61d892e4cb86fc7c6c
Homepage: https://cran.r-project.org/package=functiondepends
Description: CRAN Package 'functiondepends' (Find Functions and their Dependencies)
 Find functions in an unstructured directory and explore their dependencies.
 Sourcing of R source files is performed without side-effects: from R scripts
 that have executable code and function definitions only functions are
 sourced.

Package: r-cran-fundata
Architecture: all
Version: 1.3-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-fields, r-cran-foreach
Suggests: r-cran-covr, r-cran-fda, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2, r-cran-zoo, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fundata_1.3-9-1.ca2004.1_all.deb
Size: 485716
MD5sum: 9243307a517b83c7bef4d6702809adfc
SHA1: 66cfbb243fe16c42fc875ae6a4c4a2bbdf37cacc
SHA256: 737c265154d4fcd6a8009329f46a4264657985adfe532c5e11ca4328b1425c68
SHA512: 743caa9aec76ea32c905e8b3fc760c5b8f645f86efc58160c51f0f4b28999cd38b9df26f256f29d6b2aa3742c45952dbcd598f9778b5e17c2388d73de1a11f37
Homepage: https://cran.r-project.org/package=funData
Description: CRAN Package 'funData' (An S4 Class for Functional Data)
 S4 classes for univariate and multivariate functional data with utility
 functions. See <doi:10.18637/jss.v093.i05> for a detailed description of the
 package functionalities and its interplay with the MFPCA package for
 multivariate functional principal component analysis
 <https://CRAN.R-project.org/package=MFPCA>.

Package: r-cran-fundiversity
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-future.apply, r-cran-geometry, r-cran-matrix, r-cran-vegan
Suggests: r-cran-future, r-cran-knitr, r-cran-memoise, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fundiversity_1.1.1-1.ca2004.1_all.deb
Size: 336832
MD5sum: fbcd96c65f20525a5622354704f2abc0
SHA1: 38c4bcb477bde852aa8325c2121d784b0b14d550
SHA256: ce830cc06599ff48c7485ad92223acf02e29fb6a5100031415516bfceca61faf
SHA512: af34fd445624567a481fb33daee66aaaa85b918a175cea60a185b6be2eff4bade79ba16bd8159b4ddf5c59b266cf97a8f7e6694cbe865b726a75150ab64a36c2
Homepage: https://cran.r-project.org/package=fundiversity
Description: CRAN Package 'fundiversity' (Easy Computation of Functional Diversity Indices)
 Computes six functional diversity indices. These are namely, Functional
 Divergence (FDiv), Function Evenness (FEve), Functional Richness (FRic),
 Functional Richness intersections (FRic_intersect), Functional Dispersion
 (FDis), and Rao's entropy (Q) (reviewed in Villéger et al. 2008
 <doi:10.1890/07-1206.1>). Provides efficient, modular, and parallel
 functions to compute functional diversity indices (preprint:
 <doi:10.32942/osf.io/dg7hw>).

Package: r-cran-funfem
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-fda, r-cran-elasticnet
Filename: pool/dists/focal/main/r-cran-funfem_1.2-1.ca2004.1_all.deb
Size: 391348
MD5sum: 7f8776c83da9588e9da34e9d29749661
SHA1: 6862003eb9e5f6906c500866518cc5060e1eb6ed
SHA256: 1fafa10df8397444e2678828d0722d4490940f6bdaa983d510de5ea769e18ef9
SHA512: 0f3eb054de0b098264f154a7e5864d76a5c88c042d6efdc964d28361a9f2c378a570009c20c1cf5c1587cfa66a679c5cece5a1fb0d53ebf21f59bf1eac4b359d
Homepage: https://cran.r-project.org/package=funFEM
Description: CRAN Package 'funFEM' (Clustering in the Discriminative Functional Subspace)
 The funFEM algorithm (Bouveyron et al., 2014) allows to cluster functional
 data by modeling the curves within a common and discriminative functional
 subspace.

Package: r-cran-fungible
Architecture: all
Version: 2.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2067
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-clue, r-cran-cvxr, r-cran-deoptim, r-cran-ga, r-cran-gparotation, r-cran-lattice, r-cran-mass, r-cran-mbess, r-cran-mcmcpack, r-cran-mvtnorm, r-cran-nleqslv, r-cran-pbmcapply, r-cran-rcsdp, r-cran-rspectra, r-cran-sem
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fungible_2.4.4-1.ca2004.1_all.deb
Size: 1435836
MD5sum: 6f38238611d227d29b43432af22897c2
SHA1: 6a6f2a4a6386db48cc65a2da776a1c3b72d4eaf2
SHA256: 0969c0a1f3ebeaf026d5c4bdc665094ac6e8fef7e78aecf5483d7f216f06808f
SHA512: 3fc9d98be3b1496538f130d536980812c5464587133b1f070924b1e5c8d96d9a875a334dbf4339f53b24a8ef8562f5492a1e83de2bb534c3345d5904e3189722
Homepage: https://cran.r-project.org/package=fungible
Description: CRAN Package 'fungible' (Psychometric Functions from the Waller Lab)
 Computes fungible coefficients and Monte Carlo data. Underlying theory for
 these functions is described in the following publications: Waller, N.
 (2008). Fungible Weights in Multiple Regression. Psychometrika, 73(4),
 691-703, <DOI:10.1007/s11336-008-9066-z>.  Waller, N. & Jones, J. (2009).
 Locating the Extrema of Fungible Regression Weights.  Psychometrika, 74(4),
 589-602, <DOI:10.1007/s11336-008-9087-7>.  Waller, N. G. (2016). Fungible
 Correlation Matrices: A Method for Generating Nonsingular, Singular, and
 Improper Correlation Matrices for Monte Carlo Research. Multivariate
 Behavioral Research, 51(4), 554-568.  Jones, J. A. & Waller, N. G. (2015).
 The normal-theory and asymptotic distribution-free (ADF) covariance matrix
 of standardized regression coefficients: theoretical extensions and finite
 sample behavior. Psychometrika, 80, 365-378,
 <DOI:10.1007/s11336-013-9380-y>.  Waller, N. G.  (2018).  Direct
 Schmid-Leiman transformations and rank-deficient loadings matrices.
 Psychometrika, 83, 858-870. <DOI:10.1007/s11336-017-9599-0>.

Package: r-cran-fungp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-knitr, r-cran-scales, r-cran-microbenchmark, r-cran-dofuture, r-cran-dorng, r-cran-future, r-cran-progressr
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Size: 702816
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SHA1: a30f9e5dfb09ae258274ac6bb80ea435e58f3908
SHA256: 0df82914bcb6c8e0bb5b1bf0eac603bf11fb8323450086b4283b74aad4c50a67
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Homepage: https://cran.r-project.org/package=funGp
Description: CRAN Package 'funGp' (Gaussian Process Models for Scalar and Functional Inputs)
 Construction and smart selection of Gaussian process models for analysis of
 computer experiments with emphasis on treatment of functional inputs that
 are regularly sampled. This package offers: (i) flexible modeling of
 functional-input regression problems through the fairly general Gaussian
 process model; (ii) built-in dimension reduction for functional inputs;
 (iii) heuristic optimization of the structural parameters of the model
 (e.g., active inputs, kernel function, type of distance).  An in-depth
 tutorial in the use of funGp is provided in Betancourt et al. (2024)
 <doi:10.18637/jss.v109.i05> and Metamodeling background is provided in
 Betancourt et al. (2020) <doi:10.1016/j.ress.2020.106870>.  The algorithm
 for structural parameter optimization is described in
 <https://hal.science/hal-02532713>.

Package: r-cran-funhddc
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Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1661
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-fda
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Size: 1155480
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SHA256: f3c7f45e1bd7aff2179fea1adc83e45b7fd6f5437d3ffe38cb1866ad35901df0
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Homepage: https://cran.r-project.org/package=funHDDC
Description: CRAN Package 'funHDDC' (Univariate and Multivariate Model-Based Clustering inGroup-Specific Functional Subspaces)
 The funHDDC algorithm allows to cluster functional univariate (Bouveyron and
 Jacques, 2011, <doi:10.1007/s11634-011-0095-6>) or multivariate data
 (Schmutz et al., 2018) by modeling each group within a specific functional
 subspace.

Package: r-cran-funique
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Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 1119
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Suggests: r-cran-testthat
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Size: 927248
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Homepage: https://cran.r-project.org/package=funique
Description: CRAN Package 'funique' (A Faster Unique Function)
 Similar to base's unique function, only optimized for working with data
 frames, especially those that contain date-time columns.

Package: r-cran-funkycells
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Priority: optional
Section: gnu-r
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Installed-Size: 3478
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fda, r-cran-ggplot2, r-cran-rpart, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-proc, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-funkycells_1.1.1-1.ca2004.1_all.deb
Size: 3090928
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Description: CRAN Package 'funkycells' (Functional Data Analysis for Multiplexed Cell Images)
 Compare variables of interest between (potentially large numbers of) spatial
 interactions and meta-variables. Spatial variables are summarized using K,
 or other, functions, and projected for use in a modified random forest
 model. The model allows comparison of functional and non-functional
 variables to each other and to noise, giving statistical significance to the
 results. Included are preparation, modeling, and interpreting tools along
 with example datasets, as described in VanderDoes et al., (2023)
 <doi:10.1101/2023.07.18.549619>.

Package: r-cran-funkyheatmap
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Priority: optional
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Installed-Size: 2811
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-cowplot, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-jsonlite, r-cran-patchwork, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rdpack, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-testthat, r-cran-magick, r-cran-readr
Filename: pool/dists/focal/main/r-cran-funkyheatmap_0.5.2-1.ca2004.1_all.deb
Size: 1430624
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SHA512: 2e8e2fe6adf750e2efb492230e2304d36c05ab01615b73f894954ea60df41fc8c31a1c182387b97c6ebbe4089033e939d9264e4e37aa64312a4daff813af7cd0
Homepage: https://cran.r-project.org/package=funkyheatmap
Description: CRAN Package 'funkyheatmap' (Generating Funky Heatmaps for Data Frames)
 Allows generating heatmap-like visualisations for data frames. Funky
 heatmaps can be fine-tuned by providing annotations of the columns and rows,
 which allows assigning multiple palettes or geometries or grouping rows and
 columns together in categories.  Saelens et al. (2019)
 <doi:10.1038/s41587-019-0071-9>.

Package: r-cran-funlbm
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Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 749
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Size: 705564
MD5sum: 87ffec77aa9dfecc723d8955692ba4d0
SHA1: 1df245b37c79f19f767a215445cb34063373cbf0
SHA256: 8cfcbe6e04d1cee8ed70a39807fce3d906d6fd0c1f71823de383d94a515b6d2d
SHA512: 5558c4f70a708770a1c80810adb14fbeedd3c844b85836246fc4ad4677a02fba0ef7f16dbc1b8408a48136e9d5dc880dce24cff3f1b8d866cdc35fcb3f0d5754
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Description: CRAN Package 'funLBM' (Model-Based Co-Clustering of Functional Data)
 The funLBM algorithm allows to simultaneously cluster the rows and the
 columns of a data matrix where each entry of the matrix is a function or a
 time series.

Package: r-cran-funmediation
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Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-refund, r-cran-tvem, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-funmediation_1.0.2-1.ca2004.1_all.deb
Size: 138308
MD5sum: 47e5e599ae2dcf70f4f0c035321b267e
SHA1: 6ddabedf777e8fe953f1bbbcc19a7438fc5b2303
SHA256: 7f0d175166dd76cc811aaf202ecb4bec18f333c16dcd3dee6e3aa73b160287dd
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Homepage: https://cran.r-project.org/package=funmediation
Description: CRAN Package 'funmediation' (Functional Mediation for a Distal Outcome)
 Fits a functional mediation model with a scalar distal outcome. The method
 is described in detail by Coffman, Dziak, Litson, Chakraborti, Piper & Li
 (2021) <arXiv:2112.03960>. The model is similar to that of Lindquist (2012)
 <doi:10.1080/01621459.2012.695640> although allowing a binary outcome as an
 alternative to a numerical outcome.  The current version is a minor bug fix
 in the vignette. The development of this package was part of a research
 project supported by National Institutes of Health grants P50 DA039838 from
 the National Institute of Drug Abuse and 1R01 CA229542-01 from the National
 Cancer Institute and the NIH Office of Behavioral and Social Science
 Research. Content is solely the responsibility of the authors and does not
 necessarily represent the official views of the funding institutions
 mentioned above. This software is distributed in the hope that it will be
 useful, but WITHOUT ANY WARRANTY; without even the implied warranty of
 MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General
 Public License for more details.

Package: r-cran-funmodeling
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1359
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc, r-cran-rocr, r-cran-ggplot2, r-cran-gridextra, r-cran-pander, r-cran-reshape2, r-cran-scales, r-cran-dplyr, r-cran-lazyeval, r-cran-rcolorbrewer, r-cran-moments, r-cran-entropy, r-cran-cli, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-funmodeling_1.9.5-1.ca2004.1_all.deb
Size: 998684
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Homepage: https://cran.r-project.org/package=funModeling
Description: CRAN Package 'funModeling' (Exploratory Data Analysis and Data Preparation Tool-Box)
 Around 10% of almost any predictive modeling project is spent in predictive
 modeling, 'funModeling' and the book Data Science Live Book
 (<https://livebook.datascienceheroes.com/>) are intended to cover remaining
 90%: data preparation, profiling, selecting best variables 'dataViz',
 assessing model performance and other functions.

Package: r-cran-funneljoin
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
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Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
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Size: 173808
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Homepage: https://cran.r-project.org/package=funneljoin
Description: CRAN Package 'funneljoin' (Time-Based Joins to Analyze Sequences of Events)
 Time-based joins to analyze sequence of events, both in memory and out of
 memory. after_join() joins two tables of events, while funnel_start() and
 funnel_step() join events in the same table. With the type argument, you can
 switch between different funnel types, like first-first and last-firstafter.

Package: r-cran-funnelplotr
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Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggrepel, r-cran-ggplot2, r-cran-scales, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-count, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-funnelplotr_0.5.0-1.ca2004.1_all.deb
Size: 462516
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Homepage: https://cran.r-project.org/package=FunnelPlotR
Description: CRAN Package 'FunnelPlotR' (Funnel Plots for Comparing Institutional Performance)
 An implementation of methods presented by Spiegelhalter (2005)
 <doi:10.1002/sim.1970> Funnel plots for comparing institutional performance,
 for standardised ratios, ratios of counts and proportions with additive
 overdispersion adjustment.

Package: r-cran-funnelr
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Priority: optional
Section: gnu-r
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Installed-Size: 149
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Suggests: r-cran-knitr, r-cran-rmarkdown
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Size: 66368
MD5sum: 7629e4df7db31582ff42033739f75fef
SHA1: 15a8e3a32bfddc064317827688ffea43299fdb09
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Homepage: https://cran.r-project.org/package=funnelR
Description: CRAN Package 'funnelR' (Funnel Plots for Proportion Data)
 A set of simplified functions for creating funnel plots for proportion data.
 This package supports user defined benchmarks, confidence limits and
 estimation methods (i.e. exact or approximate) based on Spiegelhalter (2005)
 <doi:10.1002/sim.1970>. Additional routines for returning scored unit level
 data according to a set of specifications is also implemented for
 convenience. Specifically, both a categorical and a continuous score
 variable is returned to the sample data frame, which identifies which
 observations are deemed extreme or in control. Typically, such variables are
 useful as stratifications or covariates in further exploratory analyses.
 Lastly, the plotting routine returns a base funnel plot ('ggplot2'), which
 can also be tailored.

Package: r-cran-funpca
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Priority: optional
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Installed-Size: 111
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Size: 83488
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SHA1: f0747ca5c52839acde524724daab9eb40a9bf2d0
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Description: CRAN Package 'funpca' (Functional Principal Component Analysis)
 Functional principal component analysis under the Linear Mixed Models
 representation of smoothing splines. The method utilizes the Demmler-Reinsch
 basis and assumes error independence. For more details see: F. Rosales
 (2016)
 <https://ediss.uni-goettingen.de/handle/11858/00-1735-0000-0028-87F9-6>.

Package: r-cran-funprog
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Priority: optional
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Installed-Size: 63
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Description: CRAN Package 'funprog' (Functional Programming)
 High-order functions for data manipulation : sort or group data, given one
 or more auxiliary functions. Functions are inspired by other pure functional
 programming languages ('Haskell' mainly). The package also provides built-in
 function operators for creating compact anonymous functions, as well as the
 possibility to use the 'purrr' package syntax.

Package: r-cran-funr
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Homepage: https://cran.r-project.org/package=funr
Description: CRAN Package 'funr' (Simple Utility Providing Terminal Access to all R Functions)
 A small utility which wraps Rscript and provides access to all R functions
 from the shell.

Package: r-cran-funrar
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Priority: optional
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Homepage: https://cran.r-project.org/package=funrar
Description: CRAN Package 'funrar' (Functional Rarity Indices Computation)
 Computes functional rarity indices as proposed by Violle et al.  (2017)
 <doi:10.1016/j.tree.2017.02.002>. Various indices can be computed using both
 regional and local information. Functional Rarity combines both the
 functional aspect of rarity as well as the extent aspect of rarity.
 'funrar' is presented in Grenié et al. (2017) <doi:10.1111/ddi.12629>.

Package: r-cran-funreg
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mgcv, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-funreg_1.2.2-1.ca2004.1_all.deb
Size: 422700
MD5sum: 94ab0546fad906d10d8751d11c809961
SHA1: 8e33fb1eb7bc17bc62157530c842568f938a3f3b
SHA256: 58f4d3d51a3c6834325439aaaa7364157c8254f7570b792bc7c66d57f8ca7fe1
SHA512: 2435a3425bb5f3536ed535953acab226fcd3c7a05f0cff086e4ba822e3cbc5a69eff9cecb3c25c17ab8ec11e9469b4a245897ae55de6eab1877c8f2fe6af8987
Homepage: https://cran.r-project.org/package=funreg
Description: CRAN Package 'funreg' (Functional Regression for Irregularly Timed Data)
 Performs functional regression, and some related approaches, for intensive
 longitudinal data (see the book by Walls & Schafer, 2006, Models for
 Intensive Longitudinal Data, Oxford) when such data is not necessarily
 observed on an equally spaced grid of times.  The approach generally follows
 the ideas of Goldsmith, Bobb, Crainiceanu, Caffo, and Reich
 (2011)<DOI:10.1198/jcgs.2010.10007> and the approach taken in their sample
 code, but with some modifications to make it more feasible to use with long
 rather than wide, non-rectangular longitudinal datasets with unequal and
 potentially random measurement times.  It also allows easy plotting of the
 correlation between the smoothed covariate and the outcome as a function of
 time, which can add additional insights on how to interpret a functional
 regression.  Additionally, it also provides several permutation tests for
 the significance of the functional predictor.  The heuristic interpretation
 of ``time'' is used to describe the index of the functional predictor, but
 the same methods can equally be used for another unidimensional continuous
 index, such as space along a north-south axis.  Note that most of the
 functionality of this package has been superseded by added features after
 2016 in the 'pfr' function by Jonathan Gellar, Mathew W. McLean, Jeff
 Goldsmith, and Fabian Scheipl, in the 'refund' package built by Jeff
 Goldsmith and co-authors and maintained by Julia Wrobel.  The development of
 the funreg package in 2015 and 2016 was part of a research project supported
 by Award R03 CA171809-01 from the National Cancer Institute and Award P50
 DA010075 from the National Institute on Drug Abuse. The content is solely
 the responsibility of the authors and does not necessarily represent the
 official views of the National Institute on Drug Abuse, the National Cancer
 Institute, or the National Institutes of Health.

Package: r-cran-funspace
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-ape, r-cran-ks, r-cran-mgcv, r-cran-missforest, r-cran-mass, r-cran-paran, r-cran-vegan, r-cran-phytools, r-cran-viridis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-funspace_0.2.2-1.ca2004.1_all.deb
Size: 1390244
MD5sum: 754db5777971fc3f60166de8b58772ec
SHA1: f1a938aa9ddc65d83929f1154f7c78aa71a3b796
SHA256: bbcf51935790afd2b6e992889218cf9c6dec285240f92dc1b1525ac2c3d627af
SHA512: 789ce9cd9bfe17edd81df10ee8809ca28b614ccc3f40afa23b562800ed54a28b0f59d5778c483b51c00ccb98e6c660ef1919ebf65c9e50ceb4db87a0639f39b2
Homepage: https://cran.r-project.org/package=funspace
Description: CRAN Package 'funspace' (Creating and Representing Functional Trait Spaces)
 Estimation of functional spaces based on traits of organisms.  The package
 includes functions to impute missing trait values (with or without
 considering phylogenetic information), and to create, represent and analyse
 two dimensional functional spaces based on principal components analysis,
 other ordination methods, or raw traits. It also allows for mapping a third
 variable onto the functional space.  See 'Carmona et al. (2021)'
 <doi:10.1038/s41586-021-03871-y>, 'Puglielli et al.  (2021)'
 <doi:10.1111/nph.16952>, 'Carmona et al. (2021)'
 <doi:10.1126/sciadv.abf2675>, 'Carmona et al. (2019)' <doi:10.1002/ecy.2876>
 for more information.

Package: r-cran-funspotr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-glue, r-cran-knitr, r-cran-httr, r-cran-callr, r-cran-readr, r-cran-here, r-cran-formatr, r-cran-fs, r-cran-tibble, r-cran-import, r-cran-lifecycle
Suggests: r-cran-remotes, r-cran-visnetwork, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-funspotr_0.0.4-1.ca2004.1_all.deb
Size: 241212
MD5sum: 0298f79ca94d2595d1896ade773b0862
SHA1: affff588df19551eb99eb64f5ad76191b42d2c53
SHA256: ea8ee7a471dc9d36441bba52c54e5dde4b1e3ed3f1f0109355a8bc6ff47b78b4
SHA512: 490f48c4c20b53c58ead42a252d0db31a1418c03096fb087cb025b80bcf64100a344430ce0097b71cfd1ad1740e2531d72e37d7d90d92d28e6f29d3b127af396
Homepage: https://cran.r-project.org/package=funspotr
Description: CRAN Package 'funspotr' (Spot R Functions & Packages)
 Helpers for parsing out the R functions and packages used in R scripts and
 notebooks.

Package: r-cran-funstattest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-distr, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-matrix, r-cran-pbapply, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-funstattest_1.0.3-1.ca2004.1_all.deb
Size: 469820
MD5sum: bcf29e1ece469144568cd9ad1e84f0b6
SHA1: 7b4d3dc7a7782beae75d8d46b823d13e9966638d
SHA256: 7038d66438894e5ef2637dcc9677badd45e91d68fa77f5d5449b8b330de7f974
SHA512: 64778baa6794e56e3227bbaa20ba77ad1221d2e2a49374159041a819fef26671ea3ddc0effdd22b0c5b110528480e94c75c4e73066e78159b68ee5e46bb98d9e
Homepage: https://cran.r-project.org/package=funStatTest
Description: CRAN Package 'funStatTest' (Statistical Testing for Functional Data)
 Implementation of two sample comparison procedures based on median-based
 statistical tests for functional data, introduced in Smida et al (2022)
 <doi:10.1080/10485252.2022.2064997>.  Other competitive state-of-the-art
 approaches proposed by Chakraborty and Chaudhuri (2015)
 <doi:10.1093/biomet/asu072>, Horvath et al (2013)
 <doi:10.1111/j.1467-9868.2012.01032.x> or Cuevas et al (2004)
 <doi:10.1016/j.csda.2003.10.021> are also included in the package, as well
 as procedures to run test result comparisons and power analysis using
 simulations.

Package: r-cran-funsurv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mfpca, r-cran-mass, r-cran-fundata, r-cran-matrix, r-cran-ggplot2, r-cran-reda
Filename: pool/dists/focal/main/r-cran-funsurv_1.0.0-1.ca2004.1_all.deb
Size: 65476
MD5sum: 1e2037d50953fac484ed37e5c7f389f9
SHA1: ae530ca5b85c22148685cfb80b76bf8e157b55b9
SHA256: 6a6075f97d81622aff5220b0274b23b92e4ae8a6e0ff877ade6f686e62ff259d
SHA512: 88024231db58f1e710a5044622c3d166d37dbce1af3a221ca7c6c74a10a476a7fc3182ec9f700a84e273ad936cc4dd58967a85018364e4e2aaefc3ee11c3e894
Homepage: https://cran.r-project.org/package=FunSurv
Description: CRAN Package 'FunSurv' (Modeling Time-to-Event Data with Functional Predictors)
 A collection of methods for modeling time-to-event data using both
 functional and scalar predictors. It implements functional data analysis
 techniques for estimation and inference, allowing researchers to assess the
 impact of functional covariates on survival outcomes, including
 time-to-single event and recurrent event outcomes.

Package: r-cran-funta
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-funta_0.1.0-1.ca2004.1_all.deb
Size: 25188
MD5sum: 5fc48a0f46d174d399bb240ffe53ae6d
SHA1: ac329eda3876aa19e1dfd8694d0d393ae989da2f
SHA256: bcd952d3a3bc01c7da7efd4c7e03c5f367060287f060c97b76b444fe919de526
SHA512: 1aaccc3b5fbed42d26de1e8b3d49a644805344d89c200434a4158875badab2f8644897f9360a7e7ee4f0771487fef62668a1c96e875da23e0ea028162b4d94e9
Homepage: https://cran.r-project.org/package=FUNTA
Description: CRAN Package 'FUNTA' (Functional Tangential Angle Pseudo-Depth)
 Computes the functional tangential angle pseudo-depth and its robustified
 version from the paper by Kuhnt and Rehage (2016). See Kuhnt, S.; Rehage, A.
 (2016): An angle-based multivariate functional pseudo-depth for shape
 outlier detection, JMVA 146, 325-340, <doi:10.1016/j.jmva.2015.10.016> for
 details.

Package: r-cran-funtimes
Architecture: all
Version: 9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 542
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbscan, r-cran-kendall, r-cran-lmtest, r-cran-mlvar, r-cran-rdpack, r-cran-sandwich, r-cran-vars
Suggests: r-cran-covid19us, r-cran-ecdat, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-patchwork, r-cran-randomcolor, r-cran-readxl, r-cran-reshape2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-funtimes_9.1-1.ca2004.1_all.deb
Size: 374724
MD5sum: 446cfaf2bc8e7637dd619aac271b8298
SHA1: 70308e09bd81c76d283a9280c3749891fddf050c
SHA256: 82c58ff6d01cc0c55a238ab00a7d420260313295fdffb04d13de91af9ccbf555
SHA512: 1f7eb83629daf2767222c6ec603b10ee66c0d42e6a23bde2d87de3bf4dcfa2c3627a444ef0aeb02c6f2f6cd0ee6251302f0fb4f7decfb38e64c1752336f1b44f
Homepage: https://cran.r-project.org/package=funtimes
Description: CRAN Package 'funtimes' (Functions for Time Series Analysis)
 Nonparametric estimators and tests for time series analysis. The functions
 use bootstrap techniques and robust nonparametric difference-based
 estimators to test for the presence of possibly non-monotonic trends and for
 synchronicity of trends in multiple time series.

Package: r-cran-funwithnumbers
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rmpfr, r-cran-gmp, r-cran-bigbits
Filename: pool/dists/focal/main/r-cran-funwithnumbers_1.2-1.ca2004.1_all.deb
Size: 77336
MD5sum: bfb9a911795bdddc65a9a82df3ccbaba
SHA1: 2af417f4439721dd3fd066187cd8fa7e6f4be405
SHA256: 7de0b37df712076c2b7dc7cf1ab77948390ef7c1990f4173d1ac8f59212845c9
SHA512: 8449c0808d5a93a3dcef529b8a0339348fc74093bbef7529f03d3180a6d1484eb45e3ca67bef523f99f3a8682738b357e78e2a6096d3ef98ed97b2a2b43dfab7
Homepage: https://cran.r-project.org/package=FunWithNumbers
Description: CRAN Package 'FunWithNumbers' (Fun with Fractions and Number Sequences)
 A collection of toys to do things like generate Collatz and other
 interesting sequences, calculate a fraction which is a close approximation
 to some value (e.g., 22/7 or 355/113 for pi), and so on.

Package: r-cran-furniture
Architecture: all
Version: 1.9.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1485
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-dplyr
Suggests: r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-furniture_1.9.14-1.ca2004.1_all.deb
Size: 1312248
MD5sum: aa3f1e17854101d944abddc8f8e145cb
SHA1: f04cd61d841f25c41f856e1f57dd07da1d6e94f4
SHA256: 55ae479870252f59a3f246310246dafd42225a1addc26fdf968b17138e7687c9
SHA512: 4ad4d2566a9b4583d260c4e6cd466bf6d67d7b090c6cb8ccb028e04fdb728314a85d3955310d89a07cd9a1a933db4bf62a8074dee6de94804fe9ba5cb26af4d6
Homepage: https://cran.r-project.org/package=furniture
Description: CRAN Package 'furniture' (Furniture for Quantitative Scientists)
 Contains four main functions (i.e., four pieces of furniture): table1()
 which produces a well-formatted table of descriptive statistics common as
 Table 1 in research articles, tableC() which produces a well-formatted table
 of correlations, tableF() which provides frequency counts, and washer()
 which is helpful in cleaning up the data. These furniture-themed functions
 are designed to simplify common tasks in quantitative analysis. Other data
 summary and cleaning tools are also available.

Package: r-cran-furrr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1099
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-future, r-cran-globals, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-carrier, r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-listenv, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyselect, r-cran-withr
Filename: pool/dists/focal/main/r-cran-furrr_0.3.1-1.ca2004.1_all.deb
Size: 1008708
MD5sum: 06d1fb90ec4b47a45d8beaf62f77c463
SHA1: 8bac4175599afe92e7c353a951b395329b956981
SHA256: f7eca4dc966dc66b0db93df96a7d241d6931b8262dc99a4320404fababb0163a
SHA512: 78a54f6e69b34900f3a2b66e248496caabf9751d0aab39c245a453ffc02930e02784f17212ff9d3ca2334484acec1601b0534e219f928d3069ef5fbf26285316
Homepage: https://cran.r-project.org/package=furrr
Description: CRAN Package 'furrr' (Apply Mapping Functions in Parallel using Futures)
 Implementations of the family of map() functions from 'purrr' that can be
 resolved using any 'future'-supported backend, e.g.  parallel on the local
 machine or distributed on a compute cluster.

Package: r-cran-fusedmgm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastdummies, r-cran-bigmemory, r-cran-gplots, r-cran-bigalgebra, r-cran-biganalytics
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fusedmgm_0.1.2-1.ca2004.1_all.deb
Size: 419948
MD5sum: ff4b41ce3647bfab9449af43824fd756
SHA1: 5c834e4df9110e10df2b05861a2a6966e2861974
SHA256: fac2ca74d13308b58702261ce1ae19cd13905a7949e33af2d2df646a9e903ab4
SHA512: 4170e342edeec028954233865e6ef81df9902b89c81a4207d284e3f6079eaf853377ebaad9c5e89d6a1e106f2f5972d54d627cd318365a68c913128174637a43
Homepage: https://cran.r-project.org/package=fusedMGM
Description: CRAN Package 'fusedMGM' (Implementation of Fused MGM to Infer 2-Class Networks)
 Implementation of fused Markov graphical model (FMGM; Park and Won, 2022).
 The functions include building mixed graphical model (MGM) objects from
 data, inference of networks using FMGM, stable edge-specific penalty
 selection (StEPS) for the determination of penalization parameters, and the
 visualization. For details, please refer to Park and Won (2022)
 <doi:10.48550/arXiv.2208.14959>.

Package: r-cran-fusemlr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1322
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-digest
Suggests: r-cran-testthat, r-cran-upsetr, r-cran-caret, r-cran-ranger, r-cran-glmnet, r-cran-boruta, r-cran-knitr, r-cran-rmarkdown, r-cran-proc, r-cran-checkmate
Filename: pool/dists/focal/main/r-cran-fusemlr_0.0.1-1.ca2004.1_all.deb
Size: 1124120
MD5sum: dbad718d5b6f454e82b0299f6190b240
SHA1: 5c5c1b4dd009e5571619c5fa024ff47b0864bd39
SHA256: a8ca229bf86036e1c6a8d9d9f9c40aed5a16dc3b324f91c17e23e3c91fbbade7
SHA512: 441cb99857471119cc062dc7ee17ba83604726977b19565187243c9a54fa6ba5a0161b085d6f98397d723b4513247220a505fb8ed78c2bc066a68b3af68d2874
Homepage: https://cran.r-project.org/package=fuseMLR
Description: CRAN Package 'fuseMLR' (Fusing Machine Learning in R)
 Recent technological advances have enable the simultaneous collection of
 multi-omics data i.e., different types or modalities of molecular data,
 presenting challenges for integrative prediction modeling due to the
 heterogeneous, high-dimensional nature and possible missing modalities of
 some individuals.  We introduce this package for late integrative prediction
 modeling, enabling modality-specific variable selection and prediction
 modeling, followed by the aggregation of the modality-specific predictions
 to train a final meta-model.  This package facilitates conducting late
 integration predictive modeling in a systematic, structured, and
 reproducible way.

Package: r-cran-fusen
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1411
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-attachment, r-cran-cli, r-cran-desc, r-cran-devtools, r-cran-glue, r-cran-here, r-cran-lightparser, r-cran-magrittr, r-cran-pkgload, r-cran-roxygen2, r-cran-stringi, r-cran-tibble, r-cran-tidyr, r-cran-usethis, r-cran-yaml
Suggests: r-cran-covr, r-cran-gert, r-cran-knitr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-styler, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-fusen_0.7.1-1.ca2004.1_all.deb
Size: 827408
MD5sum: 82d74d97274387c181f5610164698c72
SHA1: f31867d828c6d921d17966cec7033ef187c3e9a3
SHA256: 66d7eea019f6ed06f080106ed40a9796492caed8f14a68a9e35f2c2e5c97b360
SHA512: f0542a4cd8d22e405bf7a87a695e389c7811e2d44808b3cf22076844f45ed8e8d1484780ab4385828247fddacfc95a08cd28fe3fc449ea07d1e5becd0248a923
Homepage: https://cran.r-project.org/package=fusen
Description: CRAN Package 'fusen' (Build a Package from Rmarkdown Files)
 Use Rmarkdown First method to build your package. Start your package with
 documentation, functions, examples and tests in the same unique file.
 Everything can be set from the Rmarkdown template file provided in your
 project, then inflated as a package. Inflating the template copies the
 relevant chunks and sections in the appropriate files required for package
 development.

Package: r-cran-fusionchartsr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3896
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-scales, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-fusionchartsr_1.1.0-1.ca2004.1_all.deb
Size: 925972
MD5sum: 8aca4bf3e077d73c9193f69e03e5bef2
SHA1: 05323456e1f1c07012019ff9ce0e5a2733fc5bba
SHA256: 0c5d19e1162d0edc4d9aff7f99171f720a87378aab0fce2c74b0056d7c8649ec
SHA512: 2614f4783233871d69fc6112717bd6e4ebcc2547807a2894edbea0a62180f3cabaabe2d0ba865d05019bebc89fb7fc90ed05ef29186dfb75cbfcf0b269598af6
Homepage: https://cran.r-project.org/package=fusionchartsR
Description: CRAN Package 'fusionchartsR' (Embedding FusionCharts in R)
 FusionCharts provides awesome and minimalist functions to make beautiful
 interactive charts <https://www.fusioncharts.com/>.

Package: r-cran-fusionclust
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmle
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fusionclust_1.0.0-1.ca2004.1_all.deb
Size: 39728
MD5sum: bb66753b5f7fa94bf53574c65bed2538
SHA1: 5240040823c2576e8f85536d48cd5f6965c990f9
SHA256: a8d2119917a6be2f8d5cdf9ff50301e6b7f87f6337596eb1fe028df512a92fde
SHA512: 535275d49b8ec9221d30c08374de260c7984223f84435e29f8a65401db8a029978db6085927dd4145e29cbb1cb7826777cacea037cc60aa580c88277ef87d165
Homepage: https://cran.r-project.org/package=fusionclust
Description: CRAN Package 'fusionclust' (Clustering and Feature Screening using L1 Fusion Penalty)
 Provides the Big Merge Tracker and COSCI algorithms for convex clustering
 and feature screening using L1 fusion penalty. See Radchenko, P. and
 Mukherjee, G. (2017) <doi:10.1111/rssb.12226> and T.Banerjee et al. (2017)
 <doi:10.1016/j.jmva.2017.08.001> for more details.

Package: r-cran-fusionlearn
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2997
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-ggplot2, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-fusionlearn_0.2.1-1.ca2004.1_all.deb
Size: 2726168
MD5sum: 3f567a8fd33bf78a2c27785d6ca606da
SHA1: ea165bb36c619322afdf63d7d662676f3e835a2f
SHA256: f6cdb332fd889778ed51e31c2171b04fe5fc0782e6ffc2fcc28695701a07283e
SHA512: 207226aee70a1dd04cca122f823f10f7eca86c4adfab46a546dcbbfd42db7b52943220f2887d6766362f615ba0f2b154f719430b4ef5401a4ebedc177b7cedc0
Homepage: https://cran.r-project.org/package=FusionLearn
Description: CRAN Package 'FusionLearn' (Fusion Learning)
 The fusion learning method uses a model selection algorithm to learn from
 multiple data sets across different experimental platforms through group
 penalization. The responses of interest may include a mix of discrete and
 continuous variables. The responses may share the same set of predictors,
 however, the models and parameters differ across different platforms.
 Integrating information from different data sets can enhance the power of
 model selection. Package is based on Xin Gao, Raymond J. Carroll (2017)
 <arXiv:1610.00667v1>.

Package: r-cran-futile.logger
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lambda.r, r-cran-futile.options
Suggests: r-cran-testthat, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-futile.logger_1.4.3-1.ca2004.1_all.deb
Size: 96264
MD5sum: 63ac3d271c33fd22839d1dd669c42ad5
SHA1: e942af5b02af148c20fdf7f3c1230c9291993c3e
SHA256: 638efc64267a1d5cc8424919778a106fa9c39dc566c7efe27eb33ce9984135d5
SHA512: 0d76fe3fd0d4e8f1491983c47e60c032e2ef366c77681f93c6e6ab979047623177952256aed3aaea0239db2d599bb94d37989f219bf47c18f90d5e2aaf97fda9
Homepage: https://cran.r-project.org/package=futile.logger
Description: CRAN Package 'futile.logger' (A Logging Utility for R)
 Provides a simple yet powerful logging utility. Based loosely on log4j,
 futile.logger takes advantage of R idioms to make logging a convenient and
 easy to use replacement for cat and print statements.

Package: r-cran-futile.options
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-futile.options_1.0.1-1.ca2004.1_all.deb
Size: 19424
MD5sum: c94206b93dda3c9f603e765f82ffdb4a
SHA1: 7ccde71ff668ebe664ed77ad9584fb2e641571be
SHA256: 36be26a7ddd4475fa888b980146a66a21f0767b378e708a3e1093cb3741bf132
SHA512: 93aa9a6e16078559c099a271a468132d7d26892e1e4eacaac8cef95a42d3291e0b0d08252277d1195469b709ff31a8ea974dae6a3f3d99e935eda44b3a1dc07f
Homepage: https://cran.r-project.org/package=futile.options
Description: CRAN Package 'futile.options' (Futile Options Management)
 A scoped options management framework. Used in other packages.

Package: r-cran-futile.paradigm
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-futile.options, r-cran-runit
Filename: pool/dists/focal/main/r-cran-futile.paradigm_2.0.4-1.ca2004.1_all.deb
Size: 69164
MD5sum: fe9aad43bdd05bb4bb55583b38057122
SHA1: a095d5e0341c15e58ea6c0a654b88a720aac087c
SHA256: 32feeeaa16cb2ac6f61034de5201d3e4e2188661d5ebacfe804dc31cd9e12abb
SHA512: 0fa27f98c0a9f16b9ffb7796d7435fce8d8f10330cf04e51783f5512074ba90d68df8a6bfafb6292336d431bb10cdbc1548972b64f7e67d9087335e7c983ffed
Homepage: https://cran.r-project.org/package=futile.paradigm
Description: CRAN Package 'futile.paradigm' (A framework for working in a functional programming paradigm inR)
 Provides dispatching implementations suitable for functional programming
 paradigms. The framework provides a mechanism for attaching guards to
 functions similar to Erlang, while also providing the safety of assertions
 reminiscent of Eiffel.

Package: r-cran-futility
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-futility_0.4-1.ca2004.1_all.deb
Size: 257268
MD5sum: 22d7e103f0927ebb2ffe02b7108548cc
SHA1: b6a10132b24afc775b053efb714f7d219896ab2e
SHA256: b23ac17c598588d48b0df1f0b7c0150e3fff5256f9069761f27de7130c595836
SHA512: 28a90aa20a65358274f26068f13d3983a0e4fd40c301694a1e0cb69768f0892ab4b40743fd135cf0467acb49ddc3d67835dde818d138dc544bdb9632f63da9f3
Homepage: https://cran.r-project.org/package=futility
Description: CRAN Package 'futility' (Interim Analysis of Operational Futility in Randomized Trialswith Time-to-Event Endpoints and Fixed Follow-Up)
 Randomized clinical trials commonly follow participants for a time-to-event
 efficacy endpoint for a fixed period of time. Consequently, at the time when
 the last enrolled participant completes their follow-up, the number of
 observed endpoints is a random variable. Assuming data collected through an
 interim timepoint, simulation-based estimation and inferential procedures in
 the standard right-censored failure time analysis framework are conducted
 for the distribution of the number of endpoints--in total as well as by
 treatment arm--at the end of the follow-up period. The future (i.e., yet
 unobserved) enrollment, endpoint, and dropout times are generated according
 to mechanisms specified in the simTrial() function in the 'seqDesign'
 package. A Bayesian model for the endpoint rate, offering the option to
 specify a robust mixture prior distribution, is used for generating future
 data (see the vignette for details). Inference can be restricted to
 participants who received treatment according to the protocol and are
 observed to be at risk for the endpoint at a specified timepoint. Plotting
 functions are provided for graphical display of results.

Package: r-cran-future.apply
Architecture: all
Version: 1.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-future, r-cran-globals
Suggests: r-cran-listenv, r-cran-r.rsp, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-future.apply_1.20.0-1.ca2004.1_all.deb
Size: 186216
MD5sum: e7fd0836f0c3f5e69db4c3d5fe1cd419
SHA1: b114f37ead806471002b6e4737af49c7dd19bfa7
SHA256: 26fe1f87d05263af63ee4697897695bd8c1a166af4cadb2db20ca68f5df0d40f
SHA512: a6ab6a191be780a1fb96e4223b26f8c8e0e7d5f06b13071ad9853710ffbe5996b67eccd0974ed27bc5043666bb3fa8f8ed0090c93c380aa9034e99084a51f25b
Homepage: https://cran.r-project.org/package=future.apply
Description: CRAN Package 'future.apply' (Apply Function to Elements in Parallel using Futures)
 Implementations of apply(), by(), eapply(), lapply(), Map(), .mapply(),
 mapply(), replicate(), sapply(), tapply(), and vapply() that can be resolved
 using any future-supported backend, e.g. parallel on the local machine or
 distributed on a compute cluster. These future_*apply() functions come with
 the same pros and cons as the corresponding base-R *apply() functions but
 with the additional feature of being able to be processed via the future
 framework <doi:10.32614/RJ-2021-048>.

Package: r-cran-future.batchtools
Architecture: all
Version: 0.12.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-parallelly, r-cran-future, r-cran-batchtools
Suggests: r-cran-globals, r-cran-future.apply, r-cran-listenv, r-cran-markdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-future.batchtools_0.12.2-1.ca2004.1_all.deb
Size: 173952
MD5sum: 5acff5692f7066b60a8e7382904e0255
SHA1: cc025b36a49d6d34c930231e9bbc9870b3b284c2
SHA256: 40da2e24478cfeb8c6376500d65b6b9e994b4ab36c1aa38ebbc8871f77f4e104
SHA512: c3832b5efe42d471cb74ba21488860017b1f3d60129215f98d648aa66c0284033d8dfb33196928e0ed7350c82f56e96b4a3b2ec52633985a012176766cfae622
Homepage: https://cran.r-project.org/package=future.batchtools
Description: CRAN Package 'future.batchtools' (A Future API for Parallel and Distributed Processing using'batchtools')
 Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the
 'batchtools' package.  This allows you to process futures, as defined by the
 'future' package, in parallel out of the box, not only on your local machine
 or ad-hoc cluster of machines, but also via high-performance compute ('HPC')
 job schedulers such as 'LSF', 'OpenLava', 'Slurm', 'SGE', and 'TORQUE' /
 'PBS', e.g. 'y <- future.apply::future_lapply(files, FUN = process)'.

Package: r-cran-future.callr
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-future, r-cran-parallelly, r-cran-callr
Suggests: r-cran-globals, r-cran-future.apply, r-cran-listenv, r-cran-markdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-future.callr_0.10.0-1.ca2004.1_all.deb
Size: 85064
MD5sum: 81abc8c2cabf0c87544582bcbd7a0fcf
SHA1: 1fb487685c028039ac4a109fe8208eae4ef0c343
SHA256: 1022a85eb88c2b9097d2b2f1bbc7fd8c55f0e60381a4c5ada36f8e1f136b9950
SHA512: 1b481278891c09885d90c5b6cc2f62d53de1fd405df3c5b5fae4dd9d7de59ace6a8eb850d00bd9262bafb3b45ced8357474d29a3e9ba00060e9a913a288a64f6
Homepage: https://cran.r-project.org/package=future.callr
Description: CRAN Package 'future.callr' (A Future API for Parallel Processing using 'callr')
 Implementation of the Future API <doi:10.32614/RJ-2021-048> on top of the
 'callr' package.  This allows you to process futures, as defined by the
 'future' package, in parallel out of the box, on your local (Linux, macOS,
 Windows, ...) machine.  Contrary to backends relying on the 'parallel'
 package (e.g. 'future::multisession') and socket connections, the 'callr'
 backend provided here can run more than 125 parallel R processes.

Package: r-cran-future.mirai
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-future, r-cran-mirai, r-cran-parallelly
Suggests: r-cran-future.tests, r-cran-future.apply, r-cran-listenv
Filename: pool/dists/focal/main/r-cran-future.mirai_0.10.0-1.ca2004.1_all.deb
Size: 79852
MD5sum: 9fc6fb2481e299837c1891e1b3c809a6
SHA1: f92601b37bb2300318a2558badd485dbaf7be8f7
SHA256: 537bfb035b18d0819017922690b2960c76c4c611c812b0e98d5a78ca4479a826
SHA512: a25c4d216b1dd643a09f0110d329abaed946df566fc3cc46d575acfce50d8b1ada259929f2010e6380b7f9d19fb14ad05b85a04954efda3c1a783404da202037
Homepage: https://cran.r-project.org/package=future.mirai
Description: CRAN Package 'future.mirai' (A 'Future' API for Parallel Processing using 'mirai')
 Implementation of the 'Future' API <doi:10.32614/RJ-2021-048> on top of the
 'mirai' package <doi:10.5281/zenodo.7912722>. By using this package, you get
 to take advantage of the benefits of 'mirai' plus everything else that
 'future' and the 'Futureverse' adds on top of it. It allows you to process
 futures, as defined by the 'future' package, in parallel out of the box, on
 your local machine or across remote machines. Contrary to back-ends relying
 on the 'parallel' package (e.g. 'multisession') and socket connections,
 'mirai_cluster' and 'mirai_multisession', provided here, can run more than
 125 parallel R processes. As a reminder, regardless which future backend is
 used by the user, the code does not have to change, it gives identical
 results, and behaves exactly the same.

Package: r-cran-future.tests
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future, r-cran-cli, r-cran-crayon, r-cran-prettyunits, r-cran-sessioninfo
Suggests: r-cran-commonmark, r-cran-base64enc, r-cran-data.table, r-cran-ff
Filename: pool/dists/focal/main/r-cran-future.tests_0.9.0-1.ca2004.1_all.deb
Size: 193280
MD5sum: 9a56ac1949de1e4b6faa2cf4b69172a4
SHA1: 76bfe80bb93959c3ce71643c7d978bd689c24c6b
SHA256: a87952ecfcfd1dddd01d8bafc271665baaec9956bede5f3b7f721c36cf97b6ea
SHA512: 4dfbaeb23821c71e33ad794135aff6e01f1158fc4836d96b0021e1472c58495380f83ba0092115b687f2e086296b492252ef4435ae7451246cb5165f6ffbcae5
Homepage: https://cran.r-project.org/package=future.tests
Description: CRAN Package 'future.tests' (Test Suite for 'Future API' Backends)
 Backends implementing the 'Future' API <doi:10.32614/RJ-2021-048>, as
 defined by the 'future' package, should use the tests provided by this
 package to validate that they meet the minimal requirements of the 'Future'
 API.  The tests can be performed easily from within R or from outside of R
 from the command line making it straightforward to include them in package
 tests and in Continuous Integration (CI) pipelines.

Package: r-cran-future
Architecture: all
Version: 1.58.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1627
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-digest, r-cran-globals, r-cran-listenv, r-cran-parallelly
Suggests: r-cran-rhpcblasctl, r-cran-r.rsp, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-future_1.58.0-1.ca2004.1_all.deb
Size: 903416
MD5sum: b593319b1afdde21f61d14a48331fa0c
SHA1: 9e85f2a83e3374693f63adedf4b5e4a82107873c
SHA256: aa39666bf3e0ad8a4d4a109676b1ce30206d6a8cfdc42209c9fe9e5adb176021
SHA512: db46d2b17288191c9c093cc79f8b8fea9edd70f744e6954d29c3f0ab2a80e1b33a39fbe2dbf0459e7b0f44f83ffa3630dc536c91aa5ddcf08a0dbbfc4924f4a8
Homepage: https://cran.r-project.org/package=future
Description: CRAN Package 'future' (Unified Parallel and Distributed Processing in R for Everyone)
 The purpose of this package is to provide a lightweight and unified Future
 API for sequential and parallel processing of R expression via futures.  The
 simplest way to evaluate an expression in parallel is to use `x %<-% {
 expression }` with `plan(multisession)`.  This package implements
 sequential, multicore, multisession, and cluster futures.  With these, R
 expressions can be evaluated on the local machine, in parallel a set of
 local machines, or distributed on a mix of local and remote machines.
 Extensions to this package implement additional backends for processing
 futures via compute cluster schedulers, etc.  Because of its unified API,
 there is no need to modify any code in order switch from sequential on the
 local machine to, say, distributed processing on a remote compute cluster.
 Another strength of this package is that global variables and functions are
 automatically identified and exported as needed, making it straightforward
 to tweak existing code to make use of futures.

Package: r-cran-futureverse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future, r-cran-future.apply, r-cran-furrr, r-cran-dofuture, r-cran-progressr
Suggests: r-cran-future.batchtools, r-cran-future.callr, r-cran-future.mirai
Filename: pool/dists/focal/main/r-cran-futureverse_0.1.0-1.ca2004.1_all.deb
Size: 19180
MD5sum: 379b4991808fec7e695f6478c9aa8b8a
SHA1: 80a52b78a19a9dc609ba2d1b8ded6e892231836a
SHA256: 5ed8e57411753025bc1098490ba24d38cedfad08aeb9a963ff978cbd3f48503e
SHA512: 121102e262a2c914b014067b0cc878e9cb71802d828896b1453eac3fa3bcd7e84e591aeb251d3e54e7e81f5f809bdb538b987c6c20f8e59b2d2e1307ecd54535
Homepage: https://cran.r-project.org/package=futureverse
Description: CRAN Package 'futureverse' (Easily Install and Load the 'Futureverse')
 The 'Futureverse' is a set of packages for parallel and distributed process
 with the 'future' package at its core, cf. Bengtsson (2021)
 <doi:10.32614/RJ-2021-048>. This package is designed to make it easy to
 install and load multiple 'Futureverse' packages in a single step. This
 package is intended for end-users, interactive use, and R scripts. Packages
 must not list it as a dependency - instead, explicitly declare each
 'Futureverse' package as a dependency as needed.

Package: r-cran-fuzzr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-progress, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuzzr_0.2.2-1.ca2004.1_all.deb
Size: 48016
MD5sum: c38de1772cff2d2b71ba9ab26239dedb
SHA1: bdc8c84d66e74100336ecd721df0b46572dd59a3
SHA256: ba7cd0b778aee5ea8371afd7321345c1837aeb8b5f240acec3e7d09565370d40
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Homepage: https://cran.r-project.org/package=fuzzr
Description: CRAN Package 'fuzzr' (Fuzz-Test R Functions)
 Test function arguments with a wide array of inputs, and produce reports
 summarizing messages, warnings, errors, and returned values.

Package: r-cran-fuzzy.p.value
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzynumbers
Filename: pool/dists/focal/main/r-cran-fuzzy.p.value_1.1-1.ca2004.1_all.deb
Size: 50336
MD5sum: 3721802079dc10601c83f40f643fe1bd
SHA1: fe290ae2a8b9645247d874be4abdbed9a1666dd8
SHA256: 81af37307c12af214e81f78b5b53a4c0992cb89696e3089088edc5d02041eae5
SHA512: 5c8a3681dbd0a1d0d5a09eb5bc7b3c37f0931606cc2e41482c27c902be12868736cfdf74fe195fddc03ce908586581335a272ca584b49cd7a21ac30b345d9c57
Homepage: https://cran.r-project.org/package=Fuzzy.p.value
Description: CRAN Package 'Fuzzy.p.value' (Computing Fuzzy p-Value)
 The main goal of this package is drawing the membership function of the
 fuzzy p-value which is defined as a fuzzy set on the unit interval for three
 following problems: (1) testing crisp hypotheses based on fuzzy data, (2)
 testing fuzzy hypotheses based on crisp data, and (3) testing fuzzy
 hypotheses based on fuzzy data. In all cases, the fuzziness of data or/and
 the fuzziness of the boundary of null fuzzy hypothesis transported via the
 p-value function and causes to produce the fuzzy p-value. If the p-value is
 fuzzy, it is more appropriate to consider a fuzzy significance level for the
 problem. Therefore, the comparison of the fuzzy p-value and the fuzzy
 significance level is evaluated by a fuzzy ranking method in this package.

Package: r-cran-fuzzyahp
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuzzyahp_0.9.5-1.ca2004.1_all.deb
Size: 185000
MD5sum: 11475bdd2d8ae13b0ec275c68c8165fc
SHA1: 7bf3d23e6d27c8c310efabeffa4b4e7a7435e721
SHA256: b06a1edb6ca574fb203aa2e1b4da9e813fb7abcacdf6c83d58e5486b23b3bfac
SHA512: 8778bf9608c9da21026af35aa93aa67b04fc23e5d473b1f29442658653b955403a0ff874f43493329a4b9d154373b7514395808d51dafc72c8f40575d3e92076
Homepage: https://cran.r-project.org/package=FuzzyAHP
Description: CRAN Package 'FuzzyAHP' ((Fuzzy) AHP Calculation)
 Calculation of AHP (Analytic Hierarchy Process -
 <http://en.wikipedia.org/wiki/Analytic_hierarchy_process>) with classic and
 fuzzy weights based on Saaty's pairwise comparison method for determination
 of weights.

Package: r-cran-fuzzyclass
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-catools, r-cran-doparallel, r-cran-e1071, r-cran-envstats, r-cran-foreach, r-cran-mass, r-cran-mvtnorm, r-cran-purrr, r-cran-rdpack, r-cran-rootsolve, r-cran-trapezoid
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-maxlik, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-fuzzyclass_0.1.6-1.ca2004.1_all.deb
Size: 496204
MD5sum: 68d19a27cac41dc11276a8af5cef3571
SHA1: f121a9e0a1f44ee821bd55aa5c2f3dd1d1da92a3
SHA256: 00c3eb670b94076330e94fa9daa7780abe3669713c799386365849b757fc9a89
SHA512: 19fbb71372a47fe2a6b7c4a76475178616893f0a439da64e0f68e5254fc03bf83cdd8439df7800855ea94d1e9967e0a9ef5dc9b7bd547534ad5041fdb05b25cf
Homepage: https://cran.r-project.org/package=FuzzyClass
Description: CRAN Package 'FuzzyClass' (Fuzzy and Non-Fuzzy Classifiers)
 It provides classifiers which can be used for discrete variables and for
 continuous variables based on the Naive Bayes and Fuzzy Naive Bayes
 hypothesis. Those methods were developed by researchers belong to the
 'Laboratory of Technologies for Virtual Teaching and Statistics (LabTEVE)'
 and 'Laboratory of Applied Statistics to Image Processing and Geoprocessing
 (LEAPIG)' at 'Federal University of Paraiba, Brazil'. They considered some
 statistical distributions and their papers were published in the scientific
 literature, as for instance, the Gaussian classifier using fuzzy parameters,
 proposed by 'Moraes, Ferreira and Machado' (2021)
 <doi:10.1007/s40815-020-00936-4>.

Package: r-cran-fuzzydbscan
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-r6, r-cran-data.table, r-cran-dbscan, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-factoextra, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fuzzydbscan_0.0.3-1.ca2004.1_all.deb
Size: 289276
MD5sum: 17fd8243331bcec72618002142d34357
SHA1: c48c31b585b09aabb2699b4709196e6f98810b9e
SHA256: 977c5a898b33375076f8248a72fed6375cf59748e4e0378bd13f91bdd2a0fbf6
SHA512: 93f5e6bfc26351baaca863f29714e3081a7e7217f8f4b9bb82b9d03feeb6a7dfd7ede606524a379430e8e305d4dc31f73d0c11d78477bc94b4b17ae94d973636
Homepage: https://cran.r-project.org/package=FuzzyDBScan
Description: CRAN Package 'FuzzyDBScan' (Run and Predict a Fuzzy DBScan)
 An interface for training Fuzzy DBScan with both Fuzzy Core and Fuzzy
 Border.  Therefore, the package provides a method to initialize and run the
 algorithm and a function to predict new data w.t.h. of 'R6'.  The package is
 build upon the paper "Fuzzy Extensions of the DBScan algorithm" from Ienco
 and Bordogna (2018) <doi:10.1007/s00500-016-2435-0>.  A predict function
 assigns new data according to the same criteria as the algorithm itself.
 However, the prediction function freezes the algorithm to preserve the
 trained cluster structure and treats each new prediction object
 individually.

Package: r-cran-fuzzyforest
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 858
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-foreach, r-cran-doparallel, r-cran-ggplot2, r-cran-mvtnorm
Suggests: r-cran-wgcna, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuzzyforest_1.0.8-1.ca2004.1_all.deb
Size: 830280
MD5sum: bec164b70192f8745aebb431ab3118bc
SHA1: 79c2621ce27df946ec8e9576199c507ec4b20419
SHA256: 875f441c2a439998f478b2d6ad41738d252f8eef5e73e9ccf033b04d4b3b4266
SHA512: cb08b41666264eac98b3390750a1ded6b8541608549a3fcab1fbfd5ba675deb05c4c3ea12af27e2d8c30a3a2aa5bdd83634b86b97248f87a96983a6bda1fba81
Homepage: https://cran.r-project.org/package=fuzzyforest
Description: CRAN Package 'fuzzyforest' (Fuzzy Forests)
 Fuzzy forests, a new algorithm based on random forests, is designed to
 reduce the bias seen in random forest feature selection caused by the
 presence of correlated features.  Fuzzy forests uses recursive feature
 elimination random forests to select features from separate blocks of
 correlated features where the correlation within each block of features is
 high and the correlation between blocks of features is low.  One final
 random forest is fit using the surviving features.  This package fits random
 forests using the 'randomForest' package and allows for easy use of 'WGCNA'
 to split features into distinct blocks.  See D. Conn, Ngun, T., C. Ramirez,
 and G. Li (2019) <doi:10.18637/jss.v091.i09> for further details.

Package: r-cran-fuzzyimputationtest
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fuzzysimres, r-cran-fuzzynumbers, r-cran-missforest, r-cran-miceranger, r-cran-vim, r-cran-fuzzyresampling, r-cran-mice
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuzzyimputationtest_0.5.1-1.ca2004.1_all.deb
Size: 141040
MD5sum: cae1a2ecbcd39b117c61699d3c7bb33a
SHA1: 30e466aa1a779d7ddfed9c20a514e5550709e49c
SHA256: 41cf8243356c3aa84aa67fb7c19aaf245e82e145eadee0eff93839972ab6b202
SHA512: 588d849db72340b8a0314be5f30588abc6905a6983240b1653f0fd0bba754636c31ea054c95a42d2ed80d4d9c59354e9b44d4d5ba7f37de9d4545517c8604719
Homepage: https://cran.r-project.org/package=FuzzyImputationTest
Description: CRAN Package 'FuzzyImputationTest' (Imputation Procedures and Quality Tests for Fuzzy Data)
 Special procedures for the imputation of missing fuzzy numbers are still
 underdeveloped. The goal of the package is to provide the new d-imputation
 method (DIMP for short, Romaniuk, M. and Grzegorzewski, P. (2023) "Fuzzy
 Data Imputation with DIMP and FGAIN" RB/23/2023) and covert some classical
 ones applied in R packages ('missForest','miceRanger','knn') for use with
 fuzzy datasets. Additionally, specially tailored benchmarking tests are
 provided to check and compare these imputation procedures with fuzzy
 datasets.

Package: r-cran-fuzzyjoin
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringdist, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-geosphere, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-qdapdictionaries, r-cran-readr, r-cran-rvest, r-cran-rmarkdown, r-cran-maps, r-bioc-iranges, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fuzzyjoin_0.1.6-1.ca2004.1_all.deb
Size: 127816
MD5sum: 17abd111003240a8a292872e0581c08e
SHA1: d3c20a7b449569827bdd88e7de10904232d833e5
SHA256: 0c4795f29af7395d00e3d42de0b5a2391c338b2c866d293297916fb9404119ff
SHA512: c585b3c9c75b135c5b62386d1030f6f038467eb0746dd3bc3ec4eda4a809298118cb718a942c0375e712827e59a1729d771a944980f8bf018ab255482fd51093
Homepage: https://cran.r-project.org/package=fuzzyjoin
Description: CRAN Package 'fuzzyjoin' (Join Tables Together on Inexact Matching)
 Join tables together based not on whether columns match exactly, but whether
 they are similar by some comparison.  Implementations include string
 distance and regular expression matching.

Package: r-cran-fuzzylink
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rfast, r-cran-reshape2, r-cran-stringdist, r-cran-stringr, r-cran-httr, r-cran-jsonlite, r-cran-httr2, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-fuzzylink_0.2.1-1.ca2004.1_all.deb
Size: 66476
MD5sum: a781ce8068a972605d0f8305cc129590
SHA1: 03fe3994d84c654c4277f3cabda1bb3fa387d7f9
SHA256: 44426d5f98e4d42eb719d4a28a69dc5b40e0e9439a4317944f800a0194abe7fc
SHA512: 41b2acb776aaad2c15fe1e133a9558163ca9618c38bac210c5056ece51d7fbe9fc8ceaa32e68af30b845ecb57af0ec7b7df78918b6e75f2c2b741b72bb99eed0
Homepage: https://cran.r-project.org/package=fuzzylink
Description: CRAN Package 'fuzzylink' (Probabilistic Record Linkage Using Pretrained Text Embeddings)
 Links datasets through fuzzy string matching using pretrained text
 embeddings. Produces more accurate record linkage when lexical string
 distance metrics are a poor guide to match quality (e.g., "Patricia" is more
 lexically similar to "Patrick" than it is to "Trish"). Capable of performing
 multilingual record linkage. Methods are described in Ornstein (2025)
 <https://joeornstein.github.io/publications/fuzzylink.pdf>.

Package: r-cran-fuzzylp
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-fuzzynumbers, r-cran-roi.plugin.glpk
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-fuzzylp_0.1-7-1.ca2004.1_all.deb
Size: 422072
MD5sum: 0794eca7da16f421ed46c143f0a9ee61
SHA1: cbbc2fc8af7cc34080f4270cbb408eb910d57ab9
SHA256: 6ea36c7cb0889caaf2ab19b43e46df49af3772aaae44229afbdc8c9460db1c2f
SHA512: d52878aba9f97fdba3c3a5ff81e2a844a5b20818dc68a1a595c62577e06450e6bab9f246d52cb6389112ea7da0d5e1fddc6a67f1cf6e80d6767f9da4c282399b
Homepage: https://cran.r-project.org/package=FuzzyLP
Description: CRAN Package 'FuzzyLP' (Fuzzy Linear Programming)
 Provides methods to solve Fuzzy Linear Programming Problems with fuzzy
 constraints (following different approaches proposed by Verdegay,
 Zimmermann, Werners and Tanaka), fuzzy costs, and fuzzy technological
 matrix.

Package: r-cran-fuzzym
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1341
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fuzzym_0.1.0-1.ca2004.1_all.deb
Size: 631540
MD5sum: 7dc357d27874aa837275980fee7ba0c6
SHA1: 852523bb12e2be844950e65c209237be6235b123
SHA256: 0630096c11d50485eeb3777eebc67b868941788d6e278a4f4de073fa80b3516b
SHA512: 8941207374b1fcd9ad8e3454ba7c5ae06100ce9f991ccb413e0d973931bc1f04a0d4bb82cc38434c7ca07374d3de6290f27e85012602db64ba89b4a2e56aa4d1
Homepage: https://cran.r-project.org/package=FuzzyM
Description: CRAN Package 'FuzzyM' (Fuzzy Cognitive Maps Operations)
 Contains functions for operations with fuzzy cognitive maps using t-norm and
 s-norm operators. T-norms and S-norms are described by Dov M. Gabbay and
 George Metcalfe (2007) <doi:10.1007/s00153-007-0047-1>. System indicators
 are described by Cox, Earl D. (1995) <isbn:1886801010>. Executable examples
 are provided in the "inst/examples" folder.

Package: r-cran-fuzzymcdm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rankaggreg
Filename: pool/dists/focal/main/r-cran-fuzzymcdm_1.1-1.ca2004.1_all.deb
Size: 61072
MD5sum: b8cdf022e0940af2b47a75672f63f767
SHA1: 934593e2f9bb2db7f83741f900648d24e1c5f073
SHA256: 00285c11a8677a0305eb5fca5147abd67d1b619de16aae382e30b95132d032bf
SHA512: 7a0bbdf6c05589d7276db0413c1e9975a3b1a38f43981f8e580aea4a24f0675259b81ea89a6d13261b6129534d1daae16edcea05a8a1a04337bebbe66da6eac6
Homepage: https://cran.r-project.org/package=FuzzyMCDM
Description: CRAN Package 'FuzzyMCDM' (Multi-Criteria Decision Making Methods for Fuzzy Data)
 Implementation of several MCDM methods for fuzzy data (triangular fuzzy
 numbers) for decision making problems. The methods that are implemented in
 this package are Fuzzy TOPSIS (with two normalization procedures), Fuzzy
 VIKOR, Fuzzy Multi-MOORA and Fuzzy WASPAS. In addition, function
 MetaRanking() calculates a new ranking from the sum of the rankings
 calculated, as well as an aggregated ranking.

Package: r-cran-fuzzynumbers.ext.2
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzynumbers
Filename: pool/dists/focal/main/r-cran-fuzzynumbers.ext.2_3.2-1.ca2004.1_all.deb
Size: 48532
MD5sum: 0b9cc014b5f274db01a49d763eba30bd
SHA1: 0ec31b4f9f0954e05c379963553a09bb9b73ee5a
SHA256: c1002adb3209140b82c310e176a73c0c2a2c6b48e76ce491725792fbbbc286db
SHA512: 3210f7b713886e00201a6c299839ab804e2f5e9205e8b8115eb1dfc2193e71c6993c2b2f7ca2df241ac6c4fdeb3b717872f6227e38618ed4617ab72b5c787588
Homepage: https://cran.r-project.org/package=FuzzyNumbers.Ext.2
Description: CRAN Package 'FuzzyNumbers.Ext.2' (Apply Two Fuzzy Numbers on a Monotone Function)
 One can easily draw the membership function of f(x,y) by package
 'FuzzyNumbers.Ext.2' in which f(.,.) is supposed monotone and x and y are
 two fuzzy numbers. This work is possible using function f2apply() which is
 an extension of function fapply() from Package 'FuzzyNumbers' for
 two-variable monotone functions. Moreover, this package has the ability of
 computing the core, support and alpha-cuts of the fuzzy-valued final result.

Package: r-cran-fuzzynumbers
Architecture: all
Version: 0.4-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1021
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-fuzzynumbers_0.4-7-1.ca2004.1_all.deb
Size: 764844
MD5sum: 87ba5bf64008cf91e916641c9c4c5278
SHA1: 1994b8629e549cb72923eaf0d9e53639b9a59736
SHA256: 426db809a304ddb1588e60c1a599f981dedfd0278066ae691cb69a3fcdb002ae
SHA512: 7f11e7af9015b8c30c6bebffea52004e55611b089b17ae9e84f6f3f9ecf4e443ff260aee9b748c64dad73ca171f8d5f8bf5763b2094a58dac90692639fd6967d
Homepage: https://cran.r-project.org/package=FuzzyNumbers
Description: CRAN Package 'FuzzyNumbers' (Tools to Deal with Fuzzy Numbers)
 S4 classes and methods to deal with fuzzy numbers. They allow for computing
 any arithmetic operations (e.g., by using the Zadeh extension principle),
 performing approximation of arbitrary fuzzy numbers by trapezoidal and
 piecewise linear ones, preparing plots for publications, computing
 possibility and necessity values for comparisons, etc.

Package: r-cran-fuzzypovertyr
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 961
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-sampling, r-cran-ecp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-fuzzypovertyr_3.0.2-1.ca2004.1_all.deb
Size: 637496
MD5sum: e631745b17d32f2cb20b8fa56fa465e3
SHA1: f04970d50eade0a770e45af46d7312a7f76122cc
SHA256: 00fa8c059913aa5d771672930ceea9bf7d5385efe8872350e0be8375bbbd3e8c
SHA512: 7ade80f928aca24ec6ca529bf3825fc1efd31d97e58b532edfb097d49e3d30e474d72a047e80be82f8e3c594cbbc631fdb60f795c702c1636ecdbf4528e6727d
Homepage: https://cran.r-project.org/package=FuzzyPovertyR
Description: CRAN Package 'FuzzyPovertyR' (Estimation of Fuzzy Poverty Measures)
 Estimates fuzzy measures of poverty and deprivation. It also estimates the
 sampling variance of these measures using bootstrap or jackknife repeated
 replications.

Package: r-cran-fuzzyq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-fuzzyq_0.1.0-1.ca2004.1_all.deb
Size: 57832
MD5sum: 32cb909172c00d42d240f16f92f32279
SHA1: b7f4ed9602c7909b175a64d04a98d3784df1deb2
SHA256: 3e050ec6d5762d25d095a8b64cbc6cb757bdb5b4ff47632b5ce52a0f78622bfc
SHA512: 33e2c61df54e2fee918654486f2dff4972858659e26a5f45a4239bcd06509fd1ca1edc77c37d2264a5aa945e2be0b34dae8ebb3eb27d60dbf7cff1725cba591c
Homepage: https://cran.r-project.org/package=FuzzyQ
Description: CRAN Package 'FuzzyQ' (Fuzzy Quantification of Common and Rare Species)
 Fuzzy clustering of species in an ecological community as common or rare
 based on their abundance and occupancy. It also includes functions to
 compute confidence intervals of classification metrics and plot results. See
 Balbuena et al. (2020, <doi:10.1101/2020.08.12.247502>).

Package: r-cran-fuzzyr
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-fuzzyr_2.3.2-1.ca2004.1_all.deb
Size: 317292
MD5sum: a7a31ab94a83ac6fdd89803360101497
SHA1: ff987a446b95372f9df112dd2dc92fa2e969bc30
SHA256: 25118a60dbb90e40456ae3dde8f2ce54430714a09fdf5c91fe2968d9ae59be9a
SHA512: 3817312dbc8dbb432265bd5c9d3822765409365f0db261a3267131eebc9815c7f1ce7abea3f866a88c138b36961ddb6099d0a18decbb8527b8fc998fb86fba68
Homepage: https://cran.r-project.org/package=FuzzyR
Description: CRAN Package 'FuzzyR' (Fuzzy Logic Toolkit for R)
 Design and simulate fuzzy logic systems using Type-1 and Interval Type-2
 Fuzzy Logic.  This toolkit includes with graphical user interface (GUI) and
 an adaptive neuro- fuzzy inference system (ANFIS). This toolkit is a
 continuation from the previous package ('FuzzyToolkitUoN'). Produced by the
 Intelligent Modelling & Analysis Group (IMA) and Lab for UnCertainty In Data
 and decision making (LUCID), University of Nottingham.  A big thank you to
 the many people who have contributed to the development/evaluation of the
 toolbox.  Please cite the toolbox and the corresponding paper
 <doi:10.1109/FUZZ48607.2020.9177780> when using it.  More related papers can
 be found in the NEWS.

Package: r-cran-fuzzyreg
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 517
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-limsolve, r-cran-quadprog
Suggests: r-cran-testthat, r-cran-fuzzynumbers, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-fuzzyreg_0.6.2-1.ca2004.1_all.deb
Size: 341848
MD5sum: dc5b0f03ef21c703e4af1a5364845002
SHA1: 45aeb625b972ecdc24006a7a07f240cabff28743
SHA256: 8880bef6f1ae4f7c748cf18c5b64ec5e3d293f5d7eb9caba01add990460112bd
SHA512: 7dde41036410c862dc3f72d2a668d1fdf878d096f01e087ce259731b529bda3c460e6f565eda4d3283077cd26bd6d4f4d7402972c577629aaa7635397676ea73
Homepage: https://cran.r-project.org/package=fuzzyreg
Description: CRAN Package 'fuzzyreg' (Fuzzy Linear Regression)
 Estimators for fuzzy linear regression. The functions estimate parameters of
 fuzzy linear regression models with crisp or fuzzy independent variables
 (triangular fuzzy numbers are supported). Implements multiple methods for
 parameter estimation and algebraic operations with triangular fuzzy numbers.
 Includes functions for summarising, printing and plotting the model fit.
 Calculates predictions from the model and total error of fit. Individual
 methods are described in Diamond (1988) <doi:10.1016/0020-0255(88)90047-3>,
 Hung & Yang (2006) <doi:10.1016/j.fss.2006.08.004>, Lee & Tanaka (1999)
 <doi:10.15807/jorsj.42.98>, Nasrabadi, Nasrabadi & Nasrabady (2005)
 <doi:10.1016/j.amc.2004.02.008>, Skrabanek, Marek & Pozdilkova (2021)
 <doi:10.3390/math9060685>, Tanaka, Hayashi & Watada (1989)
 <doi:10.1016/0377-2217(89)90431-1>, Zeng, Feng & Li (2017)
 <doi:10.1016/j.asoc.2016.09.029>.

Package: r-cran-fuzzyresampling
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-fuzzyresampling_0.6.4-1.ca2004.1_all.deb
Size: 415740
MD5sum: 4b12ad8bed9f1835d80b2f2feace84cd
SHA1: 17951d07270ec477a9a1e8d3328e64c335502870
SHA256: 8cb5d2b1e4c8d39ec4a8e8b08b776edbed724041253aed8e77299d7fcdb68c66
SHA512: 6059c7813bf79639eab530f9bd55b1590d36cf89eca38b9f81aec1fe7f7ca130b000edd97044cfb4e988cdcdcf30d75cd882f1df9660d1ad0822fe9dbd52f74b
Homepage: https://cran.r-project.org/package=FuzzyResampling
Description: CRAN Package 'FuzzyResampling' (Resampling Methods for Triangular and Trapezoidal Fuzzy Numbers)
 The classical (i.e. Efron's, see Efron and Tibshirani (1994,
 ISBN:978-0412042317) "An Introduction to the Bootstrap") bootstrap is widely
 used for both the real (i.e. "crisp") and fuzzy data.  The main aim of the
 algorithms implemented in this package is to overcome a problem with
 repetition of a few distinct values and to create fuzzy numbers, which are
 "similar" (but not the same) to values from the initial sample.  To do this,
 different characteristics of triangular/trapezoidal numbers are kept (like
 the value, the ambiguity, etc., see Grzegorzewski et al.
 <doi:10.2991/eusflat-19.2019.68>, Grzegorzewski et al. (2020)
 <doi:10.2991/ijcis.d.201012.003>, Grzegorzewski et al. (2020)
 <doi:10.34768/amcs-2020-0022>, Grzegorzewski and Romaniuk (2022)
 <doi:10.1007/978-3-030-95929-6_3>, Romaniuk and Hryniewicz (2019)
 <doi:10.1007/s00500-018-3251-5>).  Some additional procedures related to
 these resampling methods are also provided, like calculation of the
 Bertoluzza et al.'s distance (aka the mid/spread distance, see Bertoluzza et
 al. (1995) "On a new class of distances between fuzzy numbers") and
 estimation of the p-value of the one- and two- sample bootstrapped test for
 the mean (see Lubiano et al. (2016, <doi:10.1016/j.ejor.2015.11.016>)).
 Additionally, there are procedures which randomly generate trapezoidal fuzzy
 numbers using some well-known statistical distributions.

Package: r-cran-fuzzysim
Architecture: all
Version: 4.33-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-modeva, r-cran-stringi
Suggests: r-cran-aod, r-cran-geodist, r-cran-phylolm, r-cran-raster, r-cran-terra
Filename: pool/dists/focal/main/r-cran-fuzzysim_4.33-1.ca2004.1_all.deb
Size: 412500
MD5sum: 5cdddf7cfc3a4c1a597a60d6c1ccff05
SHA1: c2fcefc1daafd5dcd6da1f10c677f987d9b5ee30
SHA256: 5d2c90227e520481c64d41d893acb94bda16b2d470467bf5e6138bbdbf4b8f22
SHA512: 54cacb5646f9dc05953e4819b6c2a108b6be951809fcd5c42098147ab956813d175c390a4422fe3bdcd8c0462ee43623a94d3049683a0f95601bd6f107864edc
Homepage: https://cran.r-project.org/package=fuzzySim
Description: CRAN Package 'fuzzySim' (Fuzzy Similarity in Species Distributions)
 Functions to compute fuzzy versions of species occurrence patterns based on
 presence-absence data (including inverse distance interpolation, trend
 surface analysis, and prevalence-independent favourability obtained from
 probability of presence), as well as pair-wise fuzzy similarity (based on
 fuzzy logic versions of commonly used similarity indices) among those
 occurrence patterns. Includes also functions for model consensus and
 comparison (overlap and fuzzy similarity, fuzzy loss, fuzzy gain), and for
 data preparation, such as obtaining unique abbreviations of species names,
 defining the background region, cleaning and gridding (thinning) point
 occurrence data onto raster maps, selecting among (pseudo)absences to
 address survey bias, converting species lists (long format) to
 presence-absence tables (wide format), transposing part of a data frame,
 selecting relevant variables for models, assessing the false discovery rate,
 or analysing and dealing with multicollinearity. Initially described in
 Barbosa (2015) <doi:10.1111/2041-210X.12372>.

Package: r-cran-fuzzystatprob
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 758
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multinomialci, r-cran-fuzzynumbers, r-cran-deoptim
Suggests: r-cran-markovchain, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-fuzzystatprob_2.0.4-1.ca2004.1_all.deb
Size: 713680
MD5sum: 654e3348e245111b6311f096e089ec8c
SHA1: ea02ce4439968a11c0512a7602b081329212d24b
SHA256: 690cb6d29052c0e97ff53b1d6266c50c813b1c5563e0e26afcced681bd1dce19
SHA512: 0c91b2cd83061a739f88ff74491deb4a6a1549646e689ba89a8281a6600dec1843fad8adf69917469e834986117411daa774d5a10775d4328a39d012b0f0566a
Homepage: https://cran.r-project.org/package=FuzzyStatProb
Description: CRAN Package 'FuzzyStatProb' (Fuzzy Stationary Probabilities from a Sequence of Observationsof an Unknown Markov Chain)
 An implementation of a method for computing fuzzy numbers representing
 stationary probabilities of an unknown Markov chain, from which a sequence
 of observations along time has been obtained. The algorithm is based on the
 proposal presented by James Buckley in his book on Fuzzy probabilities
 (Springer, 2005), chapter 6. Package 'FuzzyNumbers' is used to represent the
 output probabilities.

Package: r-cran-fuzzystattra
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fuzzystattra_1.0-1.ca2004.1_all.deb
Size: 157600
MD5sum: 3d2ada70c638b2739c8e4cda35e17cee
SHA1: 72dcf2c01b07a0113471790fd5424e4010778c8e
SHA256: e5b6fce7fd45a6d555456398afcaf2c8f658c160a4a3190321967a8c2b03f41a
SHA512: 70f53af3a26edc33f1ff71bfceca4877ff803b06830a9b31be56980f9a1b9101d5bb7a371b730b850f2272ab154ac0894072c2452a03cdb365b3247aea2ee852
Homepage: https://cran.r-project.org/package=FuzzyStatTra
Description: CRAN Package 'FuzzyStatTra' (Statistical Methods for Trapezoidal Fuzzy Numbers)
 The aim of the package is to provide some basic functions for doing
 statistics with trapezoidal fuzzy numbers. In particular, the package
 contains several functions for simulating trapezoidal fuzzy numbers, as well
 as for calculating some central tendency measures (mean and two types of
 median), some scale measures (variance, ADD, MDD, Sn, Qn, Tn and some
 M-estimators) and one diversity index and one inequality index. Moreover,
 functions for calculating the 1-norm distance, the mid/spr distance and the
 (phi,theta)-wabl/ldev/rdev distance between fuzzy numbers are included, and
 a function to calculate the value phi-wabl given a sample of trapezoidal
 fuzzy numbers.

Package: r-cran-fuzzystattraeoo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-fuzzystattraeoo_1.0-1.ca2004.1_all.deb
Size: 385308
MD5sum: 95dd9eb7f7fdd3f25ab33f71acb304e8
SHA1: 2e065dab3a2d87e75befcedbad105fb2f217b6ae
SHA256: a28b8edc87e5a9c9c9271ea745b946e0efe0fb8e8ed58f2aa1bd8d66bc5fdf9f
SHA512: b78d2ccb93a9fa3e569ae1a442887ba8d50dc251ded021107bbf654cd0f29181cc61b429f4c8dc0c760b68b8295e7629b4d54ba4647171fa859f8febb29a8a1c
Homepage: https://cran.r-project.org/package=FuzzyStatTraEOO
Description: CRAN Package 'FuzzyStatTraEOO' (Package 'FuzzyStatTra' in Encapsulated Object OrientedProgramming)
 The aim of the package is to contain the package 'FuzzyStatTra' in
 Encapsulated Object Oriented Programming using R6. 'FuzzyStatTra' contains
 Statistical Methods for Trapezoidal Fuzzy Numbers, whose aim is to provide
 some basic functions for doing statistical analysis with trapezoidal fuzzy
 numbers. For more details, you can visit the website of the SMIRE+CoDiRE
 (Statistical Methods with Imprecise Random Elements and Comparison of
 Distributions of Random Elements) Research Group
 (<https://bellman.ciencias.uniovi.es/smire+codire/>). The most related paper
 can be found in References. Now, those functions are organized in specific
 classes and methods.  This object-based approach is an important step in
 making statistical computing more accessible to users.

Package: r-cran-fuzzysts
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1261
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fuzzynumbers, r-cran-polynom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fuzzysts_0.3-1.ca2004.1_all.deb
Size: 834028
MD5sum: 140569219210b5ffb8ca88e2f301d202
SHA1: b40bd05e7c2932726c6222b5264ca64dcccc3fc1
SHA256: 799266754a78b035c9c3c1f0fb025304812e0ed00e9d254020cacc070085d39c
SHA512: 5cc049981e89db48d837cf5e28ec0b8450d9eb4d230cf40987fce489116da4fa8a630d2d1d6c9b009855c055929262e242284447cc159bd8c0f47e381c9266c1
Homepage: https://cran.r-project.org/package=FuzzySTs
Description: CRAN Package 'FuzzySTs' (Fuzzy Statistical Tools)
 The main goal of this package is to present various fuzzy statistical tools.
 It intends to provide an implementation of the theoretical and empirical
 approaches presented in the book entitled "The signed distance measure in
 fuzzy statistical analysis. Some theoretical, empirical and programming
 advances" <doi: 10.1007/978-3-030-76916-1>. For the theoretical approaches,
 see Berkachy R. and Donze L. (2019) <doi:10.1007/978-3-030-03368-2_1>. For
 the empirical approaches, see Berkachy R. and Donze L. (2016) <ISBN:
 978-989-758-201-1>). Important (non-exhaustive) implementation highlights of
 this package are as follows: (1) a numerical procedure to estimate the fuzzy
 difference and the fuzzy square. (2) two numerical methods of fuzzification.
 (3) a function performing different possibilities of distances, including
 the signed distance and the generalized signed distance for instance with
 all its properties. (4) numerical estimations of fuzzy statistical measures
 such as the variance, the moment, etc. (5) two methods of estimation of the
 bootstrap distribution of the likelihood ratio in the fuzzy context. (6) an
 estimation of a fuzzy confidence interval by the likelihood ratio method.
 (7) testing fuzzy hypotheses and/or fuzzy data by fuzzy confidence intervals
 in the Kwakernaak - Kruse and Meyer sense. (8) a general method to estimate
 the fuzzy p-value with fuzzy hypotheses and/or fuzzy data. (9) a method of
 estimation of global and individual evaluations of linguistic
 questionnaires. (10) numerical estimations of multi-ways analysis of
 variance models in the fuzzy context. The unbalance in the considered
 designs are also foreseen.

Package: r-cran-fuzzytoolkituon
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fuzzytoolkituon_1.0-1.ca2004.1_all.deb
Size: 102396
MD5sum: 3ae3bd4f89da749f775f5ccaa059a8dc
SHA1: 9d1d2300f1e8c118c5315aa7de02f75abaca9e1c
SHA256: 7c0bfa6d8462c2fa3d439b00813349f934c28ad0f12eaa0ceba397760ad639aa
SHA512: a567950b94dad4070ac61f1c951255ddd2902cc434b71caab6e7320263cec701902de24f5b61d5865d83e98b8a5e44f87e6a4a6e1f183b0eae3c010519d92dbb
Homepage: https://cran.r-project.org/package=FuzzyToolkitUoN
Description: CRAN Package 'FuzzyToolkitUoN' (Type 1 Fuzzy Logic Toolkit)
 A custom framework for working with Type 1 Fuzzy Logic, produced by the
 University of Nottingham IMA Group.

Package: r-cran-fuzzywuzzyr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-r6
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fuzzywuzzyr_1.0.5-1.ca2004.1_all.deb
Size: 193720
MD5sum: 80aa01f77b7139ccd77768a369968858
SHA1: dc360415a05d3fc5c7ec6a1a717c43dd4be822e9
SHA256: 2991ef5defdca50f7f08be7c7645a99684f48817be0f413d8fae116034184687
SHA512: 32cb0d68aeff35eb6adaa82ee44ea9d506374a063890b90e4b1a80350e58fa40250f41a09df76ade85455627065910fd3505e04c2fb76d4ba1a7ed68b575eaa1
Homepage: https://cran.r-project.org/package=fuzzywuzzyR
Description: CRAN Package 'fuzzywuzzyR' (Fuzzy String Matching)
 Fuzzy string matching implementation of the 'fuzzywuzzy'
 <https://github.com/seatgeek/fuzzywuzzy> 'python' package. It uses the
 Levenshtein Distance <https://en.wikipedia.org/wiki/Levenshtein_distance> to
 calculate the differences between sequences.

Package: r-cran-fwb
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-chk, r-cran-pbapply
Suggests: r-cran-survival, r-cran-cobalt, r-cran-boot, r-cran-sandwich, r-cran-ggdist, r-cran-lmtest, r-cran-nnet, r-cran-future, r-cran-future.apply, r-cran-testthat, r-cran-waldo, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-fwb_0.4.0-1.ca2004.1_all.deb
Size: 249836
MD5sum: bd31c4c78f0079a25c17c2f82c055f39
SHA1: 896dbd9abfb82e18c511560115d6fb2f45028019
SHA256: 65a778ebccbaae28a575955c92053b5914db4970ceab741cb91f6fbb18c41889
SHA512: 5029125e325b2884792a96bb5b0d33876b1a4a750322f74ef0d075d635129e757b6656c12a175af90b6987b8a599e499ab06bf596f015d76293d0190c049304c
Homepage: https://cran.r-project.org/package=fwb
Description: CRAN Package 'fwb' (Fractional Weighted Bootstrap)
 An implementation of the fractional weighted bootstrap to be used as a
 drop-in for functions in the 'boot' package. The fractional weighted
 bootstrap (also known as the Bayesian bootstrap) involves drawing weights
 randomly that are applied to the data rather than resampling units from the
 data. See Xu et al. (2020) <doi:10.1080/00031305.2020.1731599> for details.

Package: r-cran-fwdselect
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cvtools, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-fwdselect_2.1.0-1.ca2004.1_all.deb
Size: 177700
MD5sum: db0ebc9653d8755880f17c72e32562ee
SHA1: 3ff54efb3a7a98a0b094bd5daf18aed4ad318002
SHA256: 5d60017565d7ddd71012dfe515072a571d9273b7074aa5cbb292e22d13abea7b
SHA512: 9da2a38c8c0eceef311c98316b6f4b2e33f46fa79850a0eb0936c580f99fde8f48e6bd617636fe400a3d9653793a578bb5b91cc0965b1aea0eb4b5b703a6d2a2
Homepage: https://cran.r-project.org/package=FWDselect
Description: CRAN Package 'FWDselect' (Selecting Variables in Regression Models)
 A simple method to select the best model or best subset of variables using
 different types of data (binary, Gaussian or Poisson) and applying it in
 different contexts (parametric or non-parametric).

Package: r-cran-fwi.fbp
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-fwi.fbp_1.7-1.ca2004.1_all.deb
Size: 114892
MD5sum: bfe311f42bd67fdc29b80dd3b7c6f774
SHA1: 7752506bce666e258a964e3b4533fb29ea8e8a9f
SHA256: 02e66c77c8bb31c617f23713f265d69679b3d07ada3a4d3366b1e908c58f5ef6
SHA512: a55bd6afb277f3c0815ea15f05b0add72b16bf5f656a2b93b43f873eec45335c357b90f3e2920ef38d050993c3d8f07bcdd1641e8a78d2f910aa80bad2a3398e
Homepage: https://cran.r-project.org/package=fwi.fbp
Description: CRAN Package 'fwi.fbp' (Fire Weather Index System and Fire Behaviour Prediction SystemCalculations)
 Provides three functions to calculate the outputs of the two main components
 of the Canadian Forest Fire Danger Rating System (CFFDRS): the Fire Weather
 Index (FWI) System and the Fire Behaviour Prediction (FBP) System.

Package: r-cran-fwlplot
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1933
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fixest, r-cran-tinyplot
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-fwlplot_0.3.0-1.ca2004.1_all.deb
Size: 1728272
MD5sum: 8911119f8d321965dd8d781019b7aebf
SHA1: 1ac0746c8a3a7cfea0bd32713a66d789de49b623
SHA256: 02fc1636c858ce9e31f1c3115f3e377cb1649a0b8b4f767e2613a8331cdfb014
SHA512: efb4204e0144523e0849f454c45eb64605497587f51af0f1d2cc642a69122e2411a45128fee6ecf027481f3b6e8c0dda9631d863bde09b2133a03a106787bb4a
Homepage: https://cran.r-project.org/package=fwlplot
Description: CRAN Package 'fwlplot' (Scatter Plot After Residualizing Using 'fixest' Package)
 Creates a scatter plot after residualizing using a set of covariates. The
 residuals are calculated using the 'fixest' package which allows very fast
 estimation that scales. Details of the (Yule-)Frisch-Waugh-Lovell theorem is
 given in Basu (2023) <doi:10.48550/arXiv.2307.00369>.

Package: r-cran-fwrgb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-imager, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-fwrgb_0.1.0-1.ca2004.1_all.deb
Size: 255140
MD5sum: bf9a7ef32621c38113ad25371dff3066
SHA1: 9a2438dcf8f9129d54aa7dd1efe73b38e7d89294
SHA256: c553c0785932edf83baa273cd5bb8b871788c74dae509b7380845b80585d6b9e
SHA512: 1ffec1acb1a23f1f003daaf3d98dd3ca93e5e3bb7f82db96055eeeb0d22e58d9ae4fb3ba5bb6cfe43da497365710982d57e4969ed34fe05b24de6e319c471718
Homepage: https://cran.r-project.org/package=FWRGB
Description: CRAN Package 'FWRGB' (Fresh Weight Determination from Visual Image of the Plant)
 Fresh biomass determination is the key to evaluating crop genotypes'
 response to diverse input and stress conditions and forms the basis for
 calculating net primary production. However, as conventional phenotyping
 approaches for measuring fresh biomass is time-consuming, laborious and
 destructive, image-based phenotyping methods are being widely used now. In
 the image-based approach, the fresh weight of the above-ground part of the
 plant depends on the projected area. For determining the projected area, the
 visual image of the plant is converted into the grayscale image by simply
 averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image
 is then converted into a binary image using Otsu’s thresholding method Otsu,
 N. (1979) <doi:10.1109/TSMC.1979.4310076> to separate plant area from the
 background (image segmentation). The segmentation process was accomplished
 by selecting the pixels with values over the threshold value belonging to
 the plant region and other pixels to the background region. The resulting
 binary image consists of white and black pixels representing the plant and
 background regions. Finally, the number of pixels inside the plant region
 was counted and converted to square centimetres (cm2) using the reference
 object (any object whose actual area is known previously) to get the
 projected area. After that, the projected area is used as input to the
 machine learning model (Linear Model, Artificial Neural Network, and Support
 Vector Regression) to determine the plant's fresh weight.

Package: r-cran-fxl
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6090
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-fxl_1.7.2-1.ca2004.1_all.deb
Size: 4637932
MD5sum: 9377f7014ec59a200f9de737bbd5e364
SHA1: eb912b79ee94475b6450d9e3506254210fb1d643
SHA256: 8d8370f22300dbc23da015aaabcf1dee20ecc85c57de07f761af047975605c6f
SHA512: 0f5b8c753cb184d89fafb689466aac890b01d451ec82cd5f5a3f90e86bba2353935799378c4f1012d28a1e6dbd12fb6e37d718de2698d861234080b41963eb59
Homepage: https://cran.r-project.org/package=fxl
Description: CRAN Package 'fxl' ('fxl' Single Case Design Charting Package)
 The 'fxl' Charting package is used to prepare and design single case design
 figures that are typically prepared in spreadsheet software. With 'fxl',
 there is no need to leave the R environment to prepare these works and many
 of the more unique conventions in single case experimental designs can be
 performed without the need for physically constructing features of plots
 (e.g., drawing annotations across plots). Support is provided for various
 different plotting arrangements (e.g., multiple baseline), annotations
 (e.g., brackets, arrows), and output formats (e.g., svg, rasters).

Package: r-cran-fxregime
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1811
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-strucchange, r-cran-car, r-cran-sandwich
Suggests: r-cran-lmtest, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-fxregime_1.0-4-1.ca2004.1_all.deb
Size: 1748404
MD5sum: 24d49e97169112351207ae282cf8d3e5
SHA1: 6f8b76eb66b7faac2b83aac69b38c13e986323b6
SHA256: 02a7cb0e98f74b7d9f442ad9cce71fe76a3ea3a813f6afb3fece3f8ab7fe38b7
SHA512: 07229cff1f705261dab63068cbd27f406ba01c5f1567bd56c29750319946c8b0c8854ffb56cb93ef70e7c8d90fe41aac845163ab43a4d1c9e64587b16b613eeb
Homepage: https://cran.r-project.org/package=fxregime
Description: CRAN Package 'fxregime' (Exchange Rate Regime Analysis)
 Exchange rate regression and structural change tools for estimating,
 testing, dating, and monitoring (de facto) exchange rate regimes.

Package: r-cran-fxtwapls
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dofuture, r-cran-foreach, r-cran-future, r-cran-geosphere, r-cran-ggplot2, r-cran-jops, r-cran-mass, r-cran-progressr
Suggests: r-cran-magrittr, r-cran-progress, r-cran-scales, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-fxtwapls_0.1.3-1.ca2004.1_all.deb
Size: 120968
MD5sum: 797ad15a2f5655d379afb497c417da4a
SHA1: 78418d26a3aa0717e901ccdf08de29342294fcaa
SHA256: bd0f1e815cde410ec920f7b0e7163b5b86bf3e4b5c4edfa5cb3bd5b82a8f7c57
SHA512: 1c88cb5b7a3d43598f0c7d9793fc99018ec3efc8f6debd7b542f0c5bd83309f97c0bbf74c8ee6c63db6186e80a5db3106a2814848497e06e34a8c41277b615d2
Homepage: https://cran.r-project.org/package=fxTWAPLS
Description: CRAN Package 'fxTWAPLS' (An Improved Version of WA-PLS)
 The goal of this package is to provide an improved version of WA-PLS
 (Weighted Averaging Partial Least Squares) by including the tolerances of
 taxa and the frequency of the sampled climate variable.  This package also
 provides a way of leave-out cross-validation that removes both the test site
 and sites that are both geographically close and climatically close for each
 cycle, to avoid the risk of pseudo-replication.

Package: r-cran-fy
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastmatch, r-cran-data.table, r-cran-hutils
Suggests: r-cran-testthat, r-cran-withr, r-cran-rlang, r-cran-zoo, r-cran-covr
Filename: pool/dists/focal/main/r-cran-fy_0.4.2-1.ca2004.1_all.deb
Size: 56552
MD5sum: 0cfcd6faaf102f3a6d640623a6ef06d0
SHA1: 852f9d0cf7dcf5afccd74cc16ff53f753790e3d2
SHA256: 199a254121e610657e3e4bb8d8d534721b08c79254724f1c7ad775a46190597c
SHA512: 08b1014b06c4eaf8661a42dab322b6d6169d5429ae01315ce5e7fcb8d61d63456386fb4b36241490a802abbf420a22acfb4753d67cf5cf55869416d029963a74
Homepage: https://cran.r-project.org/package=fy
Description: CRAN Package 'fy' (Utilities for Financial Years)
 In Australia, a financial year (or fiscal year) is the period from 1 July to
 30 June of the following calendar year. As such, many databases need to
 represent and validate financial years efficiently. While the use of integer
 years with a convention that they represent the year ending is common, it
 may lead to ambiguity with calendar years.  On the other hand, string
 representations may be too inefficient and do not easily admit arithmetic
 operations. This package tries to make validation of financial years quicker
 while retaining clarity.

Package: r-cran-g.data
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-g.data_2.4.1-1.ca2004.1_all.deb
Size: 131084
MD5sum: 6775e18c07956d1700097668b0d1b0b0
SHA1: 29c58178eb4a30664f56d928a9145085f8f32425
SHA256: f72a7bc848f2d9606394635c85c9aaec1a03954f03994e31ad25a175addd89f3
SHA512: 5c55811e4a1f42576a0bad42ed2d77fe2dfefc9fcdd2c4aa5c66758435259f28711d4ae25974758f239b71423e9b210762b3b8db0e5602cfad2da8e2cbe83d4c
Homepage: https://cran.r-project.org/package=g.data
Description: CRAN Package 'g.data' (Delayed-Data Packages)
 Create and maintain delayed-data packages (ddp's).  Data stored in a ddp are
 available on demand, but do not take up memory until requested.  You attach
 a ddp with g.data.attach(), then read from it and assign to it in a manner
 similar to S-PLUS, except that you must run g.data.save() to actually commit
 to disk.

Package: r-cran-g.ridge
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-g.ridge_1.0-1.ca2004.1_all.deb
Size: 21212
MD5sum: 769294cdacef715f797c5e55b0b8cff2
SHA1: d60e02b0fbb7e9bb6063af390796fff0753823be
SHA256: ff7bd2e77689e25b430cebd0a9336f4240ea130b88a92c5da06b295dbafadca3
SHA512: ce6fc442c574684aec54d0f047f99dd2de5f0ee23fa51ecc1cd773f49fad8a7d6dfe248185e9f14e8638ba61c52646ab9b045d726bbeb3ab5a33d51a7767e95a
Homepage: https://cran.r-project.org/package=g.ridge
Description: CRAN Package 'g.ridge' (Generalized Ridge Regression for Linear Models)
 Ridge regression due to Hoerl and Kennard
 (1970)<DOI:10.1080/00401706.1970.10488634> and generalized ridge regression
 due to Yang and Emura (2017)<DOI:10.1080/03610918.2016.1193195> with
 optimized tuning parameters.  These ridge regression estimators (the HK
 estimator and the YE estimator) are computed by minimizing the
 cross-validated mean squared errors.  Both the ridge and generalized ridge
 estimators are applicable for high-dimensional regressors (p>n), where p is
 the number of regressors, and n is the sample size.

Package: r-cran-g1dbn
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-g1dbn_3.1.1-1.ca2004.1_all.deb
Size: 148220
MD5sum: e123c313bdec51873faad36fa9a154a4
SHA1: 628edf7a050e8e2ca9004d2ec81c2618e05d5927
SHA256: e473a6d934ae5735f582fcfda6a3b5b90e096c4daf3f1e435a8e589455a9ad5a
SHA512: c657cbdfc0170999551a6c3e24bb864fa53629195e3355b4776db73e648c61f236211c2fffc249ff2cc649b5b9d944d6e32726aae3c0a4911dfbbc8913b24d53
Homepage: https://cran.r-project.org/package=G1DBN
Description: CRAN Package 'G1DBN' (A package performing Dynamic Bayesian Network inference)
 G1DBN performs DBN inference using 1st order conditional dependencies.

Package: r-cran-g2f
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-keggrest, r-cran-minval, r-cran-sybil
Filename: pool/dists/focal/main/r-cran-g2f_0.2-1.ca2004.1_all.deb
Size: 28152
MD5sum: 4daa67c2d1fae25d14224765a1c3d6c3
SHA1: 7204f87ed5e67e3cd3254393e24914a1f88ff709
SHA256: ace0808851c58f5c38724761809b224a36275dee3fd24701e4075de4a7d4b938
SHA512: 73e82b47b0196b1f128e792dd0e5f99ee7f092524055b1c87baa1d659ebc0f32cc51ce7b039cf35a1a7ddfc54c77f90d571fbb761926a1ece53a7f6f4a5184cc
Homepage: https://cran.r-project.org/package=g2f
Description: CRAN Package 'g2f' (Find and Fill Gaps in Metabolic Networks)
 For a given metabolic network, this package finds the gaps (metabolites not
 produced or not consumed in any other reaction), and fills it from the
 stoichiometric reactions of a reference metabolic reconstruction using a
 weighting function. Also the option to download all the set of
 gene-associated stoichiometric reactions for a specific organism from the
 KEGG database <http://www.genome.jp/kegg/> is available.

Package: r-cran-g2sd
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 976
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-xlsx, r-cran-rjava, r-cran-xlsxjars, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-g2sd_2.1.5-1.ca2004.1_all.deb
Size: 827168
MD5sum: 8a1427dd60befde340adeef54f2d1b96
SHA1: d512408eb50bbf1e1d6a5f6d1c91c04e8d543490
SHA256: 49149b95eb9db47f9182eeb3a89ee1500c9c7a7b15f0d97a8c089326a495d655
SHA512: ec69aaf38efc5eb14af7d6036b9e21ea38519cc3a29be400870d1faa343f5b12de7d3d8add59f9466cf4a0c9243bd363d632096368b9dd431d5324b3231e8035
Homepage: https://cran.r-project.org/package=G2Sd
Description: CRAN Package 'G2Sd' (Grain-Size Statistics and Description of Sediment)
 Full descriptive statistics, physical description of sediment, metric or phi
 sieves.

Package: r-cran-g3viz
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-stringr, r-cran-httr2, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-g3viz_1.2.0-1.ca2004.1_all.deb
Size: 879992
MD5sum: bc361210be148976c51f3d382b0dd001
SHA1: 3380427637a6006d8e37796c2b2fb975a30ca4df
SHA256: 3175ef28a7d9a51e109364a8eabd48f74da5cf5dffad499d9778e5502c865fea
SHA512: 5a7201e063761d1cd477f0c716d710c542d4f2ce5e9f4ce0451d4b48ba1971cbe1b1cc96cb912f628661d9983c36e55a8dec2b6467e6fe8ac1bbdc2b8aacb345
Homepage: https://cran.r-project.org/package=g3viz
Description: CRAN Package 'g3viz' (Interactively Visualize Genetic Mutation Data using aLollipop-Diagram)
 Interface for 'g3-lollipop' 'JavaScript' library.  Visualize genetic
 mutation data using an interactive lollipop diagram in 'RStudio' or your web
 browser.

Package: r-cran-gaabbreviate
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ga, r-cran-psych
Filename: pool/dists/focal/main/r-cran-gaabbreviate_1.3-1.ca2004.1_all.deb
Size: 47056
MD5sum: 8556c38aecc7e78e5bec72ad17806e66
SHA1: afaf1d68742f447c4ea1e9ee2d9e2ce439919ad9
SHA256: 714cdcca7ff024ea6fc3912a0deac64a2605ca828761ae6f79e20a56fb77ed5f
SHA512: cfdc16c46ca34bca45c7da019d2bbe13f80e50545e3b31255eed221c4498b442f585d662fa136250973255f4e72a44ac2e3d0afdff063698901624bf0a5aae1d
Homepage: https://cran.r-project.org/package=GAabbreviate
Description: CRAN Package 'GAabbreviate' (Abbreviating Items Measures using Genetic Algorithms)
 Scale abbreviation using Genetic Algorithms that maximally capture the
 variance in the original data.

Package: r-cran-gaawr2
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gap, r-cran-gap.datasets, r-cran-ggplot2, r-cran-survival, r-cran-rdpack
Suggests: r-cran-blr, r-cran-bglr, r-bioc-biomart, r-cran-bookdown, r-cran-cairo, r-bioc-ensdb.hsapiens.v75, r-bioc-ensembldb, r-cran-gmmat, r-cran-hardyweinberg, r-cran-haplo.stats, r-cran-httr, r-cran-httpuv, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-mcmcglmm, r-cran-plumber, r-cran-powereqtl, r-cran-r2jags, r-cran-regress, r-cran-seqminer, r-cran-snpassoc, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-gaawr2_0.0.3-1.ca2004.1_all.deb
Size: 129680
MD5sum: 12183c98e9d815fe50decfee4e3c8c88
SHA1: b0374112968029a4471380042aeb41e62b12ae43
SHA256: fee9ab665a31a8def6efecc9f81b55a86be155c5b64d2d9840a7df654e2bad06
SHA512: 30345974477d005dff2d0971c068c687fc65aa46288c2b9ab20b7b74e74735ef38fc21ad833a1426bb3c15d9613d109ec8aaf27654045d32be97f4e7e8104b4f
Homepage: https://cran.r-project.org/package=gaawr2
Description: CRAN Package 'gaawr2' (Genetic Association Analysis)
 It gathers information, meta-data and scripts in a two-part Henry-Stewart
 talk by Zhao (2009, <doi:10.69645/DCRY5578>), which showcases analysis in
 aspects such as testing of polymorphic variant(s) for Hardy-Weinberg
 equilibrium, association with trait using genetic and statistical models as
 well as Bayesian implementation, power calculation in study design and
 genetic annotation. It also covers R integration with the Linux environment,
 GitHub, package creation and web applications.

Package: r-cran-gabb
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-egg, r-cran-ggforce, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggplotify, r-cran-ggpubr, r-cran-tidyr, r-cran-hotelling, r-cran-pheatmap, r-cran-vegan
Suggests: r-cran-factominer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gabb_0.3.9-1.ca2004.1_all.deb
Size: 87284
MD5sum: 001d9b7c367c2dbcf4ac37cf0d4d69b5
SHA1: 8b6b34dc74714cbfa45a39f7adfc8ea5d1dd2e20
SHA256: 93781a769767b880c23c2db6da7904c6471e9d4c52d0af538099b4b47b38bdd3
SHA512: 8873f3bf952768288ff5c9d7f49c01ffb68cd0ca422e0493ca1823b31f9b081dd58e9d8ff7b2adc239e9e2fcae77a8e0c42eb82f3fd6b54b1b21f3069eb076c9
Homepage: https://cran.r-project.org/package=GABB
Description: CRAN Package 'GABB' (Facilitation of Data Preparation and Plotting Procedures for RDAand PCA Analyses)
 Help to the occasional R user for synthesis and enhanced graphical
 visualization of redundancy analysis (RDA) and principal component analysis
 (PCA) methods and objects.  Inputs are : data frame, RDA (package 'vegan')
 and PCA (package 'FactoMineR') objects.  Outputs are : synthesized results
 of RDA, displayed in console and saved in tables ; displayed and saved
 objects of PCA graphic visualization of individuals and variables
 projections with multiple graphic parameters.

Package: r-cran-gabi
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hash
Filename: pool/dists/focal/main/r-cran-gabi_0.1-1.ca2004.1_all.deb
Size: 56952
MD5sum: 7678401a2b07d08f6b002fad420522f2
SHA1: 27768394bfdf428fbf58789b1a688d95fbdd0fb0
SHA256: 811ca81aec6163de0170a1d81365698d5426e275f514cc129d385f27c6b70134
SHA512: 1577226c7a9b0c894de7bb54cc097b4d750c238533291baabef39624e37f89504e25e6f1ba62c3ac1f9b916e9814da341c53b5ad6f01d2cdcf67851c1c7c3cea
Homepage: https://cran.r-project.org/package=GABi
Description: CRAN Package 'GABi' (Framework for Generalized Subspace Pattern Mining)
 Generalized subspace pattern mining in data arrays, using a genetic
 algorithm framework.

Package: r-cran-gacff
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gacff_1.0-1.ca2004.1_all.deb
Size: 77424
MD5sum: 8fd1229df7c3e7fa49c6ee94630d81e4
SHA1: f6f3ce9ff0e0890885ac8d618ae6871d2560aa8a
SHA256: 52a315255014861cff26eff1a4b680b30604758385bf65f3358cfdcd24e9ff8d
SHA512: 011c60f4a2810fbf6f559548f9185e141d5c9936b675831b03d6e362aca4e62b86e37f7445d9e834222fa209eda403e94b2af2c110ff8aaa5a06be9877a39b8b
Homepage: https://cran.r-project.org/package=GACFF
Description: CRAN Package 'GACFF' (Genetic Similarity in User-Based Collaborative Filtering)
 The genetic algorithm can be used directly to find the similarity of users
 and more effectively to increase the efficiency of the collaborative
 filtering method.  By identifying the nearest neighbors to the active user,
 before the genetic algorithm, and by identifying suitable starting points,
 an effective method for user-based collaborative filtering method has been
 developed.  This package uses an optimization algorithm (continuous genetic
 algorithm) to directly find the optimal similarities between active users
 (users for whom current recommendations are made) and others.  First, by
 determining the nearest neighbor and their number, the number of genes in a
 chromosome is determined. Each gene represents the neighbor's similarity to
 the active user.  By estimating the starting points of the genetic
 algorithm, it quickly converges to the optimal solutions.  The positive
 point is the independence of the genetic algorithm on the number of data
 that for big data is an effective help in solving the problem.

Package: r-cran-gad
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-gad_2.0-1.ca2004.1_all.deb
Size: 125376
MD5sum: 5fb831629ddfabe35b3110a266a7dfbe
SHA1: fc2b00ef90576ee6a37e67dfec6c938b1fd6c6a2
SHA256: 3f5de2a82195baf547e209a5f050d4753e07fd0587e6679d2226add50ecf00f3
SHA512: f9b55d898bcbe2c09bf867afb258cf38530a7e52c2a968a9cd4ab7592ff68b51b2956b403cd27f24f698581837699e830ba5bb6c88715eee6b9c1dfc3e6cdf86
Homepage: https://cran.r-project.org/package=GAD
Description: CRAN Package 'GAD' (Analysis of Variance from General Principles)
 Analysis of complex ANOVA models with any combination of orthogonal/nested
 and fixed/random factors, as described by Underwood (1997). There are two
 restrictions: (i) data must be balanced; (ii) fixed nested factors are not
 allowed. Homogeneity of variances is checked using Cochran's C test and 'a
 posteriori' comparisons of means are done using Student-Newman-Keuls (SNK)
 procedure. For those terms with no denominator in the F-ratio calculation,
 pooled mean squares and quasi F-ratios are provided. Magnitute of effects
 are assessed by components of variation.

Package: r-cran-gadget3
Architecture: all
Version: 0.13-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2003
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-rlang, r-cran-tmb
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-unittest
Filename: pool/dists/focal/main/r-cran-gadget3_0.13-0-1.ca2004.1_all.deb
Size: 1043076
MD5sum: 0fdb60e743b4a07402ae703e09c53d6d
SHA1: 4b2168f8c9fdcbd7fdfe67eb407c992d49d233ab
SHA256: 5c6a15ace3082bbde78c422f9af4c095c6eacfdd1e7ff024c776784d92ec9556
SHA512: 8c91b6261b80574396278f45fd41c66c708d2e34bef3fe311cda9386ecc90eda53902dfe563a67ed91fdadf8bdb9257cb0dcc6ab3183dea61461e51fcbafda0c
Homepage: https://cran.r-project.org/package=gadget3
Description: CRAN Package 'gadget3' (Globally-Applicable Area Disaggregated General Ecosystem ToolboxV3)
 A framework to assist creation of marine ecosystem models, generating either
 'R' or 'C++' code which can then be optimised using the 'TMB' package and
 standard 'R' tools. Principally designed to reproduce gadget2 models in
 'TMB', but can be extended beyond gadget2's capabilities.  Kasper
 Kristensen, Anders Nielsen, Casper W. Berg, Hans Skaug, Bradley M. Bell
 (2016) <doi:10.18637/jss.v070.i05> "TMB: Automatic Differentiation and
 Laplace Approximation.".  Begley, J., & Howell, D. (2004)
 <https://core.ac.uk/download/pdf/225936648.pdf> "An overview of Gadget, the
 globally applicable area-disaggregated general ecosystem toolbox. ICES.".

Package: r-cran-gadifpt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gadifpt_1.0-1.ca2004.1_all.deb
Size: 64352
MD5sum: 64354d6ba1ef5db9136e4e2077731cd5
SHA1: ea73a4f4f8f10436d440133d1652fb50f20d5d70
SHA256: 1c513a2f21e40f98ac1f02c46b7e477389fda6a5b18bcb82726156d119dd22d2
SHA512: 5c9c765e31daf3cf632d19c3dd90a1ba683ba5cdda391cc89764ee1feb6d1830937a6082f508984303e29ddcb05af95bc3f6163ad77fadebd20250adea941ee2
Homepage: https://cran.r-project.org/package=GaDiFPT
Description: CRAN Package 'GaDiFPT' (First Passage Time Simulation for Gaussian Diffusion Processes)
 In this package we consider Gaussian Diffusion processes and smooth
 thresholds. After evaluating the mean of the process to check the
 subthreshold regimen hypothesis, the FPT density function is reconstructed
 via the numerical quadrature of the integral equation in (Buonocore 1987);
 first passage times are also generated by the method in (Buonocore 2014) and
 results are compared. The timestep of the simulations can iteratively be
 refined. User should provide the functional form for the drift and the
 infinitesimal variance in the script 'userfunc.R' and for the threshold in
 the script 'userthresh.R'. All the parameters required by the implementation
 are to be set in the script 'userparam.R'. Example scripts for common drifts
 and thresholds are given.

Package: r-cran-gadmtools
Architecture: all
Version: 3.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-classint, r-cran-sf, r-cran-rgdal, r-cran-rcolorbrewer, r-cran-maptools, r-cran-stringr, r-cran-raster, r-cran-rosm, r-cran-lattice, r-cran-jsonlite, r-cran-gridextra, r-cran-rgeos, r-cran-ggmap, r-cran-ggspatial, r-cran-ggplot2, r-cran-dplyr, r-cran-prettymapr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-mapproj, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gadmtools_3.9-1-1.ca2004.1_all.deb
Size: 1980156
MD5sum: 7d7aebdfa652211aab2f21d38bebbee2
SHA1: 92c16c52de4aa98dd95beffd6b7ca1115830bcaf
SHA256: 235413ad53510262f9783b1fb19d2d9ac6cd26a6fbbee6295f7ffcb1948ccd24
SHA512: af7014e7fa2b9383477879db503a70d81476d9d20997569354ad23eedcd8b742e3399330494b325e96fc2e1e7d800623a7b05c69efaead4772e932da67437ac3
Homepage: https://cran.r-project.org/package=GADMTools
Description: CRAN Package 'GADMTools' (Easy Use of 'GADM' Maps)
 Manipulate, assemble, export <https://gadm.org/> maps. Create 'choropleth',
 'isopleth', dots plot, proportional dots, dot-density and more.

Package: r-cran-gagblup
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1604
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ga, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gagblup_1.0-1.ca2004.1_all.deb
Size: 1566792
MD5sum: fcde3684e25235b4ae4ae4431fc12316
SHA1: 588a258045c809949d6cca21099362a4b011505e
SHA256: 3f72d524c50d89c30d20a9a1d23573e40b7a988063271e2db9a2b0d04d26505d
SHA512: 0055b96e991ba9c2e4e87ab6e870a7a414ec58f92606cc12d602a7c03645bae48adb943f3efecdc3ed0905b748917fe6a3f719c47bc03955f174d714648af56c
Homepage: https://cran.r-project.org/package=GAGBLUP
Description: CRAN Package 'GAGBLUP' (Genetic Algorithm Assisted Genomic Best Liner UnbiasedPrediction)
 Performs genetic algorithm (Scrucca, L (2013) <doi:10.18637/jss.v053.i04>)
 assisted genomic best liner unbiased prediction for genomic selection.  It
 also provides a binning method in natural population for genomic selection
 under the principle of linkage disequilibrium for dimensional reduction.

Package: r-cran-gaiah
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1407
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-magrittr, r-cran-raster, r-cran-rlang, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gaiah_0.0.5-1.ca2004.1_all.deb
Size: 1377192
MD5sum: 3f39f4a8a7576bc2c0bd141314496c1b
SHA1: 2995ebef750729addd0b103fe4ed84d8415fcc8a
SHA256: 7ac663470a78922d391ae8d766d46f7f33611b03db873637e7a60c9be26f08d4
SHA512: 771f572cd20af0f34f0fb1264e6fea4f2f6d2c7c835a8420ca9209f72068801f9fcd8b808023a7322c80eba99cf2d627167fda0a6fd80ec2cf178639b0880da8
Homepage: https://cran.r-project.org/package=gaiah
Description: CRAN Package 'gaiah' (Genetic and Isotopic Assignment Accounting for HabitatSuitability)
 Tools for using genetic markers, stable isotope data, and habitat
 suitability data to calculate posterior probabilities of breeding origin of
 migrating birds.

Package: r-cran-gainml
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-fnn
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gainml_0.1.0-1.ca2004.1_all.deb
Size: 115560
MD5sum: ee743f86a0c49aa330ead936e28409e3
SHA1: 94f59b388809477450a46748d1fb7a4cfc6af44f
SHA256: 1dad976bba99ec41038cfae6c7a942dba978103eadd681f544cad34127910075
SHA512: 0c66bc78331c7ad8d768e643a401e7116c481aceb6012f7d0d8d1d53c7afdb6894ae54d81b55f932db0397f573f535db4b6ceb2a56f73960a8844022378f035d
Homepage: https://cran.r-project.org/package=gainML
Description: CRAN Package 'gainML' (Machine Learning-Based Analysis of Potential Power Gain fromPassive Device Installation on Wind Turbine Generators)
 Provides an effective machine learning-based tool that quantifies the gain
 of passive device installation on wind turbine generators.  H. Hwangbo, Y.
 Ding, and D. Cabezon (2019) <arXiv:1906.05776>.

Package: r-cran-gains
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gains_1.2-1.ca2004.1_all.deb
Size: 1897700
MD5sum: 35b688aab2ff6d13c9b5556c014868a8
SHA1: 34f2f296a5ccecf3398c53b5109b7d8ff45add44
SHA256: 8b9e8dcbc6c8103086d14fbc02b040a43268b56bd6b36eb22cc77282e4186bb1
SHA512: 5d3461431f98794be133628d76b06180d013853ae37532302b78a9a8f338a5e9b5037cdcd7cdc4d3a4d95aa4a91a456986a1ac6729b94e3e0b7d51a5c84c2dd7
Homepage: https://cran.r-project.org/package=gains
Description: CRAN Package 'gains' (Lift (Gains) Tables and Charts)
 Constructs gains tables and lift charts for prediction algorithms. Gains
 tables and lift charts are commonly used in direct marketing applications.
 The method is described in Drozdenko and Drake (2002), "Optimal Database
 Marketing", Chapter 11.

Package: r-cran-gaipe
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gaipe_1.1-1.ca2004.1_all.deb
Size: 37592
MD5sum: e94c80aa0141321d3a656109da0f5be0
SHA1: 2a935935c91d14dca8ff71d527d974217a7e9c39
SHA256: 1bcd930698d75eff7df979c5a3ceba946c8481a6cc49ac050be8371c20f696d5
SHA512: 91cd1a0122f7a06d1b8e5a788fde2da6aff3ae57d2ecdf8b0646d3dbb9e530e66581f91f3a586472fdf1aa4a3718f5126cb68d81877c47e913c6ff15b8a6064b
Homepage: https://cran.r-project.org/package=GAIPE
Description: CRAN Package 'GAIPE' (Graphical Extension with Accuracy in Parameter Estimation(GAIPE))
 Implements graphical extension with accuracy in parameter estimation (AIPE)
 on RMSEA for sample size planning in structural equation modeling based on
 Lin, T.-Z. & Weng, L.-J. (2014) <doi: 10.1080/10705511.2014.915380>. And, it
 can also implement AIPE on RMSEA and power analysis on RMSEA.

Package: r-cran-galah
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3626
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-potions, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-xml2
Suggests: r-cran-covr, r-cran-gt, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-pkgdown, r-cran-reactable, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-galah_2.1.2-1.ca2004.1_all.deb
Size: 1946792
MD5sum: 14a16ff50edd176b23606256528d61e9
SHA1: f38468eb2c83cab87163defc5020d430e266e368
SHA256: 0199e3cd86013ad7047478fe6a2654bb6d41791ce7108e232065b1541317a4e9
SHA512: dbd097207a1d76a14de2f58b60bfa9ae75a9843b1af860c47d056f13bca4775456ca4d2399f421a87adf931cfcd5e7adc22aa4d5c3bbf056a6430b35edf05236
Homepage: https://cran.r-project.org/package=galah
Description: CRAN Package 'galah' (Biodiversity Data from the GBIF Node Network)
 The Global Biodiversity Information Facility ('GBIF',
 <https://www.gbif.org>) sources data from an international network of data
 providers, known as 'nodes'. Several of these nodes - the "living atlases"
 (<https://living-atlases.gbif.org>) - maintain their own web services using
 software originally developed by the Atlas of Living Australia ('ALA',
 <https://www.ala.org.au>). 'galah' enables the R community to directly
 access data and resources hosted by 'GBIF' and its partner nodes.

Package: r-cran-galigor
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rstudioapi, r-cran-tibble, r-cran-gargle, r-cran-ryandexdirect, r-cran-rfacebookstat, r-cran-rvkstat, r-cran-rmytarget, r-cran-rym, r-cran-getproxy, r-cran-rgoogleads, r-cran-rappsflyer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-galigor_0.2.5-1.ca2004.1_all.deb
Size: 73088
MD5sum: cd5d5d7669fc2a60993c459212e0f47a
SHA1: d25df3bd86e70932bbe32169d4ae45ea828134b5
SHA256: 0706ca6abeee9ead3f64d8b8e47c02c35000717825a647ec86301b5ca0bb0d2b
SHA512: d7b5cb45a240d046302aa9de5fb466ef2f4656eff5e45c2c18e18f4940da04006e51af43aad34e386c796f5c99649d67c5dac73872b0a8df92de9265e0368a22
Homepage: https://cran.r-project.org/package=galigor
Description: CRAN Package 'galigor' (Collection of Packages for Internet Marketing)
 Collection of packages for work with API 'Google Ads'
 <https://developers.google.com/google-ads/api/docs/start>, 'Yandex Direct'
 <https://yandex.ru/dev/direct/>, 'Yandex Metrica'
 <https://yandex.ru/dev/metrika/>, 'MyTarget'
 <https://target.my.com/help/advertisers/api_arrangement/ru>, 'Vkontakte'
 <https://vk.com/dev/methods>, 'Facebook'
 <https://developers.facebook.com/docs/marketing-apis/> and 'AppsFlyer'
 <https://support.appsflyer.com/hc/en-us/articles/207034346-Using-Pull-API-aggregate-data>.
 This packages allows you loading data from ads account and manage your ads
 materials.

Package: r-cran-gallery
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-pracma
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gallery_1.0.0-1.ca2004.1_all.deb
Size: 168172
MD5sum: 1824215e38ac95f0f1b98fb06a0c0717
SHA1: 842875762522e1f64250af30bb2c4ddbec00cfad
SHA256: afc0798899983f1843512472cb648207b3e82fc479819aa78099516cca3bc505
SHA512: 6c24876c64edc6cac81222e2709c10e74cbfe2095720b67f356c031355d56ae2227f648853d8a75e5ea8e07195403ecb8d621f25b4b76616d2c5f5fa98891e50
Homepage: https://cran.r-project.org/package=gallery
Description: CRAN Package 'gallery' (Generate Test Matrices for Numerical Experiments)
 Generates a variety of structured test matrices commonly used in numerical
 linear algebra and computational experiments. Includes well-known matrices
 for benchmarking and testing the performance, stability, and accuracy of
 linear algebra algorithms. Inspired by 'MATLAB' 'gallery' functions.

Package: r-cran-gallo
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-circlize, r-cran-data.table, r-cran-doparallel, r-cran-dplyr, r-cran-ggplot2, r-cran-foreach, r-cran-rcolorbrewer, r-bioc-rtracklayer, r-cran-stringr, r-cran-unbalhaar, r-cran-dt, r-cran-webshot, r-cran-igraph, r-cran-visnetwork, r-cran-compquadform, r-cran-matrix
Suggests: r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gallo_1.5-1.ca2004.1_all.deb
Size: 2379980
MD5sum: bc801d8877a747425f88b16787fd55ba
SHA1: fe78ea3c286113c187c00f5a574660cdb85ed9fa
SHA256: 1a76a36db1f732a9f64c6a7473528b8729a5f141c825eb7c37eb792603b27faf
SHA512: 0cf04c2a67ca6aa701fdb19bd5a988dd3086d158618fa0479f0d5c73c3a1d19bedb2012f5df5e38000ee9edefde0ea5d6003df8234cc0fadf5404b433dcfa5cb
Homepage: https://cran.r-project.org/package=GALLO
Description: CRAN Package 'GALLO' (Genomic Annotation in Livestock for Positional Candidate LOci)
 The accurate annotation of genes and Quantitative Trait Loci (QTLs) located
 within candidate markers and/or regions (haplotypes, windows, CNVs, etc) is
 a crucial step the most common genomic analyses performed in livestock, such
 as Genome-Wide Association Studies or transcriptomics. The Genomic
 Annotation in Livestock for positional candidate LOci (GALLO) is an R
 package designed to provide an intuitive and straightforward environment to
 annotate positional candidate genes and QTLs from high-throughput genetic
 studies in livestock. Moreover, GALLO allows the graphical visualization of
 gene and QTL annotation results, data comparison among different grouping
 factors (e.g., methods, breeds, tissues, statistical models, studies, etc.),
 and QTL enrichment in different livestock species including cattle, pigs,
 sheep, and chicken, among others.

Package: r-cran-galts
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-genalg, r-cran-deoptim
Filename: pool/dists/focal/main/r-cran-galts_1.3.2-1.ca2004.1_all.deb
Size: 26372
MD5sum: feb2b1404eb6beea0f994e3173faa64d
SHA1: 0f0258ed9af4fc1ef0ee64b8779f86b333d45abb
SHA256: b880ccbfc418253d63fbbb85b4aa8b042068c02989765200ffc5118015cbb52e
SHA512: 0862846c7c9bcb743cf0cf8d0071067daf0fc649ee0c0685f690cf1788f56e861f8a38052fe5fef35ebfa319aecfd2e5ddb668c59ad4af9fcdc7bc53580a40e1
Homepage: https://cran.r-project.org/package=galts
Description: CRAN Package 'galts' (Genetic Algorithms and C-Steps Based LTS (Least Trimmed Squares)Estimation)
 Includes the ga.lts() function that estimates LTS (Least Trimmed Squares)
 parameters using genetic algorithms and C-steps. ga.lts() constructs a
 genetic algorithm to form a basic subset and iterates C-steps as defined in
 Rousseeuw and van-Driessen (2006) to calculate the cost value of the LTS
 criterion. OLS (Ordinary Least Squares) regression is known to be sensitive
 to outliers. A single outlying observation can change the values of
 estimated parameters. LTS is a resistant estimator even the number of
 outliers is up to half of the data. This package is for estimating the LTS
 parameters with lower bias and variance in a reasonable time. Version >=1.3
 includes the function medmad for fast outlier detection in linear
 regression.

Package: r-cran-galvanizer
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-rlang, r-cran-tidyjson, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-galvanizer_0.5.3-1.ca2004.1_all.deb
Size: 228088
MD5sum: 54d5e05b43d0a0b1df9d1ecec9ee30b1
SHA1: 31645d0e1919491fee82e967116717b7dff0b5b1
SHA256: 45a2cce42edafc72d16078283b3301ca7222ce8164bc3dd508ff087b4eaa0558
SHA512: 4fd032fe3e0244302fce0593d0ff3356e8340f2be415affd4c57139a2bbcfbd8ffffd02a1421a36e7442dfb4681e930188c32eeb5382b69f0c9b56776878ae46
Homepage: https://cran.r-project.org/package=galvanizer
Description: CRAN Package 'galvanizer' (Interface to Galvanize 'Highbond' Internal Audit Software)
 An R interface to the Galvanize 'Highbond' API
 <https://docs-apis.highbond.com>.

Package: r-cran-gam.hp
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gam.hp_0.0-3-1.ca2004.1_all.deb
Size: 48580
MD5sum: f1f2287518471bf7baadbbd9e201aba3
SHA1: a8f343c568c22f5dfeba03d327dff6c31e29efb5
SHA256: 80c640c1532c2fffc3189da70463cf32de26ddd566258a76ae1a695586847bb0
SHA512: 2c1952e311a3565b4b0a812edc8e286e89cfa4f7a7c1b01ff0f0a79d85b0469b29a900828e0d2b6aa71f16830752fb8deae2d0a66307e395e4c68a83b04f0e65
Homepage: https://cran.r-project.org/package=gam.hp
Description: CRAN Package 'gam.hp' (Hierarchical Partitioning of Adjusted R2 and Explained Deviancefor Generalized Additive Models)
 Conducts hierarchical partitioning to calculate individual contributions of
 each predictor towards adjusted R2 and explained deviance for generalized
 additive models based on output of gam()in 'mgcv' package, applying the
 algorithm in this paper: Lai(2024) <doi:10.1016/j.pld.2024.06.002>.

Package: r-cran-gamabiomd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-traits, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-bioc-biostrings, r-cran-heatmaply, r-cran-reshape2, r-cran-dendextend, r-cran-ape
Filename: pool/dists/focal/main/r-cran-gamabiomd_0.2.0-1.ca2004.1_all.deb
Size: 86488
MD5sum: dcf21caab71381d6fe69318082f9477d
SHA1: 28823917ae87430deb343ddade9f2f84c677abeb
SHA256: 2dc48a62b6b68f712b6b1e853dac808ee5d5bcfb74cdcbf091af6baf2924deb7
SHA512: 18a078d78047a56c688142893897e3f1fa87be248fdaa1b925e362d246fdb7feaee9ab76f3846cb29d2e0c034c6815e822043f88d1cafda6a62ff83b73b4489b
Homepage: https://cran.r-project.org/package=GaMaBioMD
Description: CRAN Package 'GaMaBioMD' (Diversity Analysis for Sequence Data)
 The full form is Garai and Mantri Biological Material Diversity. It is an R
 package designed for the calculation of biological diversity using sequence
 data. It simplifies the process by requiring only sample IDs and accession
 numbers. Whether you're analyzing genetic or microbial diversity, It
 provides efficient tools for diversity analysis. Serially one should go for
 the functions as presented here expand_accession_ranges(),
 get_sequence_information(), preprocess_for_alignment(), write_fasta(),
 SampleID_vs_NumSequences(), data_sampling(), alignment_info(),
 compute_average_similarity_matrix(), generate_heatmaps(),
 clustering_average_similarity(), clustering_percent_similarity(),
 bubble_plot_count(), bubble_plot_percentage(), tree_average_similarity(),
 tree_percent_similarity(). Till date there are total 15 functions. More
 details can be found in Faith (1992) <doi:10.1016/0006-3207(92)91201-3>.

Package: r-cran-gamair
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1842
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mgcv, r-cran-lattice, r-cran-mass, r-cran-nlme, r-cran-lme4, r-cran-geor, r-cran-survival
Filename: pool/dists/focal/main/r-cran-gamair_1.0-2-1.ca2004.1_all.deb
Size: 1779148
MD5sum: 71c9990de28768e92997d78512777199
SHA1: e7e1e055d1179c0a04af991df77da134b7401fa9
SHA256: 2373c9dd2d3e1c436c621c1911c512c5237d5575b87736a0b694cafe2fc60b07
SHA512: 5b926a1e7acf2713c61a27a524be005dcac64cf631fec79a2b162c70235cf6cb76ff177e2232213ed6f69896fe918a5e6a24cc3c12f365183a28336873dccab5
Homepage: https://cran.r-project.org/package=gamair
Description: CRAN Package 'gamair' (Data for 'GAMs: An Introduction with R')
 Data sets and scripts used in the book 'Generalized Additive Models: An
 Introduction with R', Wood (2006,2017) CRC.

Package: r-cran-gambin
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-gtools, r-cran-foreach
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gambin_2.5.0-1.ca2004.1_all.deb
Size: 110472
MD5sum: c49461fe3148d59a209dcc3ce172efc3
SHA1: f96948bdf0a58c033467bf3809776cffe7ddeb1e
SHA256: 7ab9490ad7259950052d87d16e24689b13cbdde21f7ac00a9ef7b945ce7f0408
SHA512: a6a4c26e3b311c7390accb50fc584d37f08b96d3c078fcc54b33b8a9f383c740d33865648d1b42e2eb99e548c239c696069edd577f6d104c21c2a7970479452a
Homepage: https://cran.r-project.org/package=gambin
Description: CRAN Package 'gambin' (Fit the Gambin Model to Species Abundance Distributions)
 Fits unimodal and multimodal gambin distributions to species-abundance
 distributions from ecological data, as in in Matthews et al. (2014)
 <DOI:10.1111/ecog.00861>.  'gambin' is short for 'gamma-binomial'. The main
 function is fit_abundances(), which estimates the 'alpha' parameter(s) of
 the gambin distribution using maximum likelihood. Functions are also
 provided to generate the gambin distribution and for calculating likelihood
 statistics.

Package: r-cran-gamblers.ruin.gameplay
Architecture: all
Version: 4.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-hrbrthemes, r-cran-gganimate, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-gamblers.ruin.gameplay_4.0.5-1.ca2004.1_all.deb
Size: 18180
MD5sum: a500f163737f675b6a7d0975974bf0d1
SHA1: 427eb0b36dfcf50f62a9430a455acd18b677de48
SHA256: 6ecc0b586a07af6bd6c3ce19a06b7797529f1ac5539f8ad0aa99825fc27a618e
SHA512: 1ce945235b2348864080324858af80a45e29811f71b275aebc318e443cbedf5ee08619b4b682c05b4eded2369e94a32b2a8650d1bc7882734b917473a5285bea
Homepage: https://cran.r-project.org/package=gamblers.ruin.gameplay
Description: CRAN Package 'gamblers.ruin.gameplay' (One-Dimensional Random Walks Through Simulation of the Gambler'sRuin Problem)
 Simulates a gambling game under the gambler's ruin setup, after asking for
 the money you have and the money you want to win, along with your win
 probability in each round of the game.

Package: r-cran-gamboostlss
Architecture: all
Version: 2.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mboost, r-cran-stabs
Suggests: r-cran-gamlss, r-cran-gamlss.dist, r-cran-survival, r-cran-bayesx, r-cran-r2bayesx, r-cran-dirichletreg
Filename: pool/dists/focal/main/r-cran-gamboostlss_2.1-0-1.ca2004.1_all.deb
Size: 1567644
MD5sum: 16aab1da547701f67bf02695b9bd5cb7
SHA1: b358e4e8d84e081a016cbe3b3c4e71cbec11d982
SHA256: 8fb8cf4d55f2097d74f622915df1720cd0d515eb27827fcd66d95803df2ed356
SHA512: c1e1f1253b6694bc1a9d9d9107798f0fb30fdc200e972f007f09d96cb5d57f84c088c26732b52636c39347e1e8fc28a41d870f78290d2d3d0d15407719413b47
Homepage: https://cran.r-project.org/package=gamboostLSS
Description: CRAN Package 'gamboostLSS' (Boosting Methods for 'GAMLSS')
 Boosting models for fitting generalized additive models for location, shape
 and scale ('GAMLSS') to potentially high dimensional data.

Package: r-cran-gamboostmsm
Architecture: all
Version: 1.1.88-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mboost
Filename: pool/dists/focal/main/r-cran-gamboostmsm_1.1.88-1.ca2004.1_all.deb
Size: 43176
MD5sum: 57c64c70636af8e923e040af7bc0c152
SHA1: c5a0ab9ea378f1d738e7532114a5f8ac1649d546
SHA256: 725d37124ef6ad25d952203ba6abb3385878a2be317235b1841bb6c26b94094f
SHA512: a48ccb7b4cb835abb756dba275d877bc03a654135494f40b41285d2e494f0af2a3ac811c4d2e3902d63da416cba9682b70bf177931047212853b8bbb884e17e9
Homepage: https://cran.r-project.org/package=gamboostMSM
Description: CRAN Package 'gamboostMSM' (Boosting Multistate Models)
 Contains infrastructure for using mboost::gamboost() in order to estimate
 multistate models.

Package: r-cran-gamclass
Architecture: all
Version: 0.62.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3464
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpart, r-cran-randomforest, r-cran-lattice, r-cran-latticeextra
Suggests: r-cran-sp, r-cran-kernlab, r-cran-mlbench, r-cran-car, r-cran-mgcv, r-cran-daag, r-cran-mass, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-gamclass_0.62.5-1.ca2004.1_all.deb
Size: 2938188
MD5sum: 502a5e65549ce5af32ee9c49fabe23d3
SHA1: bb9b73c1b034de9188a417ac13ba5284f9843b79
SHA256: dedaeffc3fe720530ad460fa3ce1c2f43d545228a7d48d69c0e5fe431a69fa7f
SHA512: 547b02dcb073364697d64eaacd8d1917696abe59d18ac48c19b79cbef5d8ec08a0876c9bd12b2bb9bc40f5e6dbea675e406753f02d488f9aa0939b5fc6263d3d
Homepage: https://cran.r-project.org/package=gamclass
Description: CRAN Package 'gamclass' (Functions and Data for a Course on Modern Regression andClassification)
 Functions and data are provided that support a course that emphasizes
 statistical issues of inference and generalizability.  The functions are
 designed to make it straightforward to illustrate the use of
 cross-validation, the training/test approach, simulation, and model-based
 estimates of accuracy.  Methods considered are Generalized Additive
 Modeling, Linear and Quadratic Discriminant Analysis, Tree-based methods,
 and Random Forests.

Package: r-cran-gamcopula
Architecture: all
Version: 0.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 582
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vinecopula, r-cran-mgcv, r-cran-mass, r-cran-gsl, r-cran-numderiv, r-cran-copula, r-cran-igraph, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gamcopula_0.0-8-1.ca2004.1_all.deb
Size: 490904
MD5sum: 0a6bf0a721bd6c0f391f5fe9531b6578
SHA1: 76f83c5fa0020d47f5d45ec4c898f7164aaa313f
SHA256: 2a00f8c9d02b670d36c1be74a76c1ddc2694d331f980cedb91a4ef16e28a60de
SHA512: b63765d4ca25a07b34400d07d085a116a5606603d59b13760fc9ddfacff537679b695a00984bfd2bd944d93605c5c3e8a0c5ab84f36e5cc1a4a84eef222aaaed
Homepage: https://cran.r-project.org/package=gamCopula
Description: CRAN Package 'gamCopula' (Generalized Additive Models for Bivariate Conditional DependenceStructures and Vine Copulas)
 Implementation of various inference and simulation tools to apply
 generalized additive models to bivariate dependence structures and
 non-simplified vine copulas.

Package: r-cran-gamens
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gam, r-cran-mlbench, r-cran-catools
Filename: pool/dists/focal/main/r-cran-gamens_1.2.1-1.ca2004.1_all.deb
Size: 46660
MD5sum: 7b7c27459ded9caef42b0d586c95ff20
SHA1: 8e873f708675d450cb452bc70fa520aa7dae9308
SHA256: 043c77d173541f00d7164e36e99518e6b709fc94871d158dba7784dee09e8f85
SHA512: fd37ba856aed51f97c6daab0a05233998ce7b2b5e6619ca8fe2e8d7a5aa3d6dafcd55cfeff8d78ce0123119ae5d60f1bb8442c124207a3d364871d9a50bd4269
Homepage: https://cran.r-project.org/package=GAMens
Description: CRAN Package 'GAMens' (Applies GAMbag, GAMrsm and GAMens Ensemble Classifiers forBinary Classification)
 Implements the GAMbag, GAMrsm and GAMens ensemble classifiers for binary
 classification (De Bock et al., 2010) <doi:10.1016/j.csda.2009.12.013>. The
 ensembles implement Bagging (Breiman, 1996) <doi:10.1023/A:1010933404324>,
 the Random Subspace Method (Ho, 1998) <doi:10.1109/34.709601> , or both, and
 use Hastie and Tibshirani's (1990, ISBN:978-0412343902) generalized additive
 models (GAMs) as base classifiers. Once an ensemble classifier has been
 trained, it can be used for predictions on new data. A function for cross
 validation is also included.

Package: r-cran-gameofthrones
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1001
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-mass
Suggests: r-cran-hexbin, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gameofthrones_1.0.2-1.ca2004.1_all.deb
Size: 905716
MD5sum: e25d43b8a766b719ffbd88156a65d4cd
SHA1: 5656ded2f5d8a21ec54b145f783ee92ae5af5e06
SHA256: 4aaabd71923e2426fe4a5949a48eebe5c0c57924fa7b5ce1c9974caf3b21d5f3
SHA512: 6949426d9c0309eb0900c15e30165609293fe56715d1f9c4e536b03bcceda3d4560112d4f289389a3fb63a149d6f2dec525e803a7c3ee18ceca772c894f88c1c
Homepage: https://cran.r-project.org/package=gameofthrones
Description: CRAN Package 'gameofthrones' (Palettes Inspired in the TV Show "Game of Thrones")
 Implementation of the characteristic palettes from the TV show 'Game of
 Thrones'.

Package: r-cran-gamer
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-magrittr, r-cran-palmerpenguins, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gamer_0.0.7-1.ca2004.1_all.deb
Size: 171044
MD5sum: 577c1d9ee83aa83502a07950c16c3139
SHA1: 3befa116a9c3625f26db81ba2052cb930a5833c2
SHA256: 43abdd65f2c20abadf1db62b944682c6e27b0c5af9a0ba151972616ad90732a2
SHA512: 96ba425486e06b5092a5cf91f0465dbb517952175a530368c4bf78ea01e8680a98dc6458be80561675fd8130aae253c0b0cbc3b6e34078f6285b3fe24bf2207b
Homepage: https://cran.r-project.org/package=gameR
Description: CRAN Package 'gameR' (Color Palettes Inspired by Video Games)
 Palettes based on video games.

Package: r-cran-games
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 869
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-formula, r-cran-mass, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-games_1.1.2-1.ca2004.1_all.deb
Size: 823384
MD5sum: f7d0b4c37fe2a54e08d7d9b21f53af54
SHA1: 2844bd6c7fa79963e63b803aad4bfcea5d6486e0
SHA256: 78f14cd2c7c14092af7d14174ca66342f2f2e0536243e219183fbfbc57da3ae5
SHA512: 62a0065155dca1483ca22ed066d813e86b3e154f5e66d87677fc23de21ca88cb14fb55c3c7873ca8bc00a1dc540775f6744ca5167d314087310d1fe7981ff25c
Homepage: https://cran.r-project.org/package=games
Description: CRAN Package 'games' (Statistical Estimation of Game-Theoretic Models)
 Provides estimation and analysis functions for strategic statistical models.

Package: r-cran-gametheory
Architecture: all
Version: 2.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolveapi, r-cran-combinat, r-cran-gtools, r-cran-ineq, r-cran-kappalab
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-gametheory_2.7.1-1.ca2004.1_all.deb
Size: 82916
MD5sum: f1dbcb6bdd0c2a020bed52eded74196d
SHA1: 1f5a081b796845007072f8c8adc7dd6147d9c24f
SHA256: 6b393f1e3ed88a4f2821b69b6b6e85b777e650946ce25b2af5b0a67205a481f6
SHA512: ea6f9bdaf9efa9b5f5fdb1f52842fcbf55b4f77d90ccb2d4c6944914fb7358f0e827f0f28608d45fd12f88e8a3216015eb24d377875ab2bdbc733e4744b0ee79
Homepage: https://cran.r-project.org/package=GameTheory
Description: CRAN Package 'GameTheory' (Cooperative Game Theory)
 Implementation of a common set of punctual solutions for Cooperative Game
 Theory.

Package: r-cran-gametheoryallocation
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-gametheoryallocation_1.0-1.ca2004.1_all.deb
Size: 45848
MD5sum: e7c0efb6e18fbbb41d13a9b12bf937c5
SHA1: 47bb4b9f8dcb46e439b312361aa4b8b6e044d3ea
SHA256: 3f8ee0b74af6c8c068ee91d38c1fb6bd552a414501ec117195cc91c902db17da
SHA512: f5c7a55739aafa7179a21e4e495728861c98d3b743d4a02b527ff1cb6d658b0a932bd85272a00b3605c43bba776ec5ed3ae64f9ed3765ac252674c636de4482a
Homepage: https://cran.r-project.org/package=GameTheoryAllocation
Description: CRAN Package 'GameTheoryAllocation' (Tools for Calculating Allocations in Game Theory)
 Many situations can be modeled as game theoretic situations. Some procedures
 are included in this package to calculate the most important allocations
 rules in Game Theory: Shapley value, Owen value or nucleolus, among other.
 First, we must define as an argument the value of the unions of the envolved
 agents with the characteristic function.

Package: r-cran-gamlss.add
Architecture: all
Version: 5.1-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss, r-cran-mgcv, r-cran-nnet, r-cran-rpart
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gamlss.add_5.1-13-1.ca2004.1_all.deb
Size: 152816
MD5sum: 0379a7b4e26a8b133f815ef7c090b64d
SHA1: ab73780e7f7c59496cc27f8602ff041deea82ba4
SHA256: db83e1143a57550b2249f1e83bf2eaf064a7ca1507b48c911f0213b220cd5a37
SHA512: 1666d1750425dae02b27ddd60ff7a639a9049cde03e1b0f49f71698c2305caa2471d20106e657e4f93346e3009af5939dc2742c46ddc5108d8f35a6bbd44f828
Homepage: https://cran.r-project.org/package=gamlss.add
Description: CRAN Package 'gamlss.add' (Extra Additive Terms for Generalized Additive Models forLocation Scale and Shape)
 Interface for extra smooth functions including tensor products, neural
 networks and decision trees.

Package: r-cran-gamlss.cens
Architecture: all
Version: 5.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss, r-cran-survival
Filename: pool/dists/focal/main/r-cran-gamlss.cens_5.0-7-1.ca2004.1_all.deb
Size: 69696
MD5sum: fc287e93aebad9d6030e6c3365304f58
SHA1: 83746b62c40e252c6cdfc10d6d3da7e4a2ea44c7
SHA256: 30739ce54ab65364c34a6c8d2111de973817c489518243a458ae5ef0a1d39c0f
SHA512: c17e89be6ef1582ad5c81bc5b9189565986ab564ae5152865132f4797a77e2281b783a6d83893cf40f994102aab6f91ea910757cc05b56ca3c101b0f08ef4092
Homepage: https://cran.r-project.org/package=gamlss.cens
Description: CRAN Package 'gamlss.cens' (Fitting an Interval Response Variable Using `gamlss.family'Distributions)
 This is an add-on package to GAMLSS. The purpose of this package is to allow
 users to fit interval response variables in GAMLSS models. The main function
 gen.cens() generates a censored version of an existing GAMLSS family
 distribution.

Package: r-cran-gamlss.countkinf
Architecture: all
Version: 3.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss
Filename: pool/dists/focal/main/r-cran-gamlss.countkinf_3.5.1-1.ca2004.1_all.deb
Size: 300896
MD5sum: 0e678701f6a29a633f88f61eb487f6ed
SHA1: d90ae89a6ca6fc4314fbb5f3136d63bc65aa7ef9
SHA256: 736d7a44db19c87f13cee980064bda9e1082f8938f37e11a9de16f1b4a5263e5
SHA512: 3a0005a3be73f3b62dc7fcad1f63e4f275a20ddfbb8a15f00abc8be3c37fdb9e66bfd26ebbaab02f6f5990fdaae3a033db423594ed51529920dff1edf6d49695
Homepage: https://cran.r-project.org/package=gamlss.countKinf
Description: CRAN Package 'gamlss.countKinf' (Generating and Fitting K-Inflated 'discrete gamlss.family'Distributions)
 This is an add on package to 'GAMLSS'. The main purpose of this package is
 generating and fitting inflated distributions at any desired point (0, 1, 2,
 ...). The function gen.Kinf() generates K-inflated version of an existing
 discrete 'GAMLSS' family distribution.

Package: r-cran-gamlss.data
Architecture: all
Version: 6.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1414
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gamlss.data_6.0-6-1.ca2004.1_all.deb
Size: 1338236
MD5sum: 8308357275926f508fdfc0d184bb4681
SHA1: abcb1a06d52e9c3cb21a8230db15576f300cbaa6
SHA256: 1c17727df9a7c139eadfc28b97f498197389eb8aa9b31f1644e24d255a83d6f1
SHA512: b2b0f2223ba8495a80d9634f8761d52f2e756201735520d9bc0163f2a1441c3e9da5982700a685cf9e90d6ba386c3615224086bc01bea1709ca30f6bd96c5891
Homepage: https://cran.r-project.org/package=gamlss.data
Description: CRAN Package 'gamlss.data' (Data for Generalised Additive Models for Location Scale andShape)
 Data used as examples in the current two books on Generalised Additive
 Models for Location Scale and Shape introduced by Rigby and Stasinopoulos
 (2005), <doi:10.1111/j.1467-9876.2005.00510.x>.

Package: r-cran-gamlss.demo
Architecture: all
Version: 4.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpanel, r-cran-gamlss.dist, r-cran-gamlss.tr
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-gamlss.demo_4.3-3-1.ca2004.1_all.deb
Size: 245268
MD5sum: df6c03ff759a1595d9881bfd6bd4335c
SHA1: 0851aa394fc568d8c24d363f6d6bfa03c40eded5
SHA256: bec7a38f07853f447c87aa8bb9ccd3f0ed226f7f7c5021952946228c5bd97ca0
SHA512: 9880f3ca43ccc4746d329c0a9ff522a4da32d8d4fce2ad4cd2bf9e358960a6ed09b192eb0a4a63c49c75387ebcf6cbd25179ea0abe3eb6d8445f4c4eaf8cb718
Homepage: https://cran.r-project.org/package=gamlss.demo
Description: CRAN Package 'gamlss.demo' (Demos for GAMLSS)
 Demos for smoothing and gamlss.family distributions.

Package: r-cran-gamlss.foreach
Architecture: all
Version: 1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gamlss, r-cran-foreach, r-cran-doparallel, r-cran-gamlss.data, r-cran-gamlss.dist, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-gamlss.foreach_1.1-6-1.ca2004.1_all.deb
Size: 138800
MD5sum: d348ad34b641a3c91e74ffb3fefaab3f
SHA1: 920c3303377b7ee2f7509788a5ab0fc7017ed1a2
SHA256: 56b7b6ed91a822a8ce2b9b5b929f2beeb6d53f1b2d44ba95af9aa56043e667c4
SHA512: db4cf3440a3dc2e879e92ac8903844d7a8163f22aa4c00f1c7d1a659a7c51ed1525154712769ea510dc2786f477e408f876c2a7d5fd9fb295bdcdaa91f04d852
Homepage: https://cran.r-project.org/package=gamlss.foreach
Description: CRAN Package 'gamlss.foreach' (Parallel Computations for Distributional Regression)
 Computational intensive calculations for Generalized Additive Models for
 Location Scale and Shape, <doi:10.1111/j.1467-9876.2005.00510.x>.

Package: r-cran-gamlss.ggplots
Architecture: all
Version: 2.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1745
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss, r-cran-gamlss.foreach, r-cran-ggridges, r-cran-ellipse, r-cran-gamlss.inf, r-cran-foreach, r-cran-mgcv, r-cran-ggplot2, r-cran-yaimpute
Suggests: r-cran-glmnet, r-cran-reshape2, r-cran-igraph, r-cran-networkd3, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-gamlss.ggplots_2.1-12-1.ca2004.1_all.deb
Size: 1715248
MD5sum: 149444c01c141ad21bbf43b88dfa33e8
SHA1: 2883a9a58a15658506e736f77228f62a1435320c
SHA256: 2c1d7fbda6d3b4a4e167a6967170a0988378b6108b56bd1a268c307d02d9e8dd
SHA512: 7947431d296f2e6a9157da7d7f5f7ab62ccde85e49f6dcb6e8df1589fb0222b3ca307031213e9b17d24cb14bb1997ca0fb54772958ea620318774a41c91382cd
Homepage: https://cran.r-project.org/package=gamlss.ggplots
Description: CRAN Package 'gamlss.ggplots' (Plotting Functions for Generalized Additive Model for LocationScale and Shape)
 Functions for plotting Generalized Additive Models for Location Scale and
 Shape from the 'gamlss' package, Stasinopoulos and Rigby (2007)
 <doi:10.18637/jss.v023.i07>, using the graphical methods from 'ggplot2'.

Package: r-cran-gamlss.inf
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist
Suggests: r-cran-mass, r-cran-survival, r-cran-gamlss.cens, r-cran-gamlss.tr
Filename: pool/dists/focal/main/r-cran-gamlss.inf_1.0-2-1.ca2004.1_all.deb
Size: 216112
MD5sum: b0557db912f262cf92ef428ffcbbfab5
SHA1: 3f8f55f4c7ce4a59641be7601270d1a621edbd78
SHA256: d4f8d13e967ea03ec91d85eafe21943d393d6814ae358304d54ffc7dfa057d98
SHA512: 3b54486665f9354bad408da0a0869b5f52a08d7f40fc4960eb4a80fb4032fdb3b42f6bdb526be12421a070d6b7ed132370d158d8c1cdc475efa1b8f45cfba0e2
Homepage: https://cran.r-project.org/package=gamlss.inf
Description: CRAN Package 'gamlss.inf' (Fitting Mixed (Inflated and Adjusted) Distributions)
 This is an add-on package to 'gamlss'. The purpose of this package is to
 allow users to fit GAMLSS (Generalised Additive Models for Location Scale
 and Shape) models when the response variable is defined either in the
 intervals [0,1), (0,1] and [0,1] (inflated at zero and/or one
 distributions), or in the positive real line including zero (zero-adjusted
 distributions). The mass points at zero and/or one are treated as extra
 parameters with the possibility to include a linear predictor for both. The
 package also allows transformed or truncated distributions from the GAMLSS
 family to be used for the continuous part of the distribution. Standard
 methods and GAMLSS diagnostics can be used with the resulting fitted object.

Package: r-cran-gamlss.lasso
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-glmnet, r-cran-lars, r-cran-matrix
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gamlss.lasso_1.0-1-1.ca2004.1_all.deb
Size: 66520
MD5sum: d2617ec378c4226b0d43417d372e3731
SHA1: 2fea72c900df527f0ae6fe95c70c702c1df3ef14
SHA256: 6546594697848272c6f01b036e393f78d4862665d167f3ac0b2729e8ea2d036a
SHA512: e3ec48ccc59672669091126bc15ca0428b73298cd2553b0a3a69fd9436d5a1e2fdd632f62dbe85be598eb6f0b8b1af7177eff1df623242ccb12b0c26546db61e
Homepage: https://cran.r-project.org/package=gamlss.lasso
Description: CRAN Package 'gamlss.lasso' (Extra Lasso-Type Additive Terms for GAMLSS)
 Interface for extra high-dimensional smooth functions for Generalized
 Additive Models for Location Scale and Shape (GAMLSS) including (adaptive)
 lasso, ridge, elastic net and least angle regression.

Package: r-cran-gamlss.mx
Architecture: all
Version: 6.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss, r-cran-nnet
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-gamlss.mx_6.0-1-1.ca2004.1_all.deb
Size: 127872
MD5sum: 7a05c6d1f3886a6eab6d2ebd61f9c1c7
SHA1: 03c94671b933021bd543229e4d9a0c23b916d357
SHA256: 3d5a6707ebfb885e01df1742f2abd67832883e3a0efd5a0dce8aa0a7d358bf49
SHA512: c7492d8d403c88009dd9949faa3f21f92e9bb3e573be57909ce3a5c93e68d60612262f61940217abc0a9c9f849d123cd339be2270b2ce10a997e644faa1c5086
Homepage: https://cran.r-project.org/package=gamlss.mx
Description: CRAN Package 'gamlss.mx' (Fitting Mixture Distributions with GAMLSS)
 The main purpose of this package is to allow fitting of mixture
 distributions with generalised additive models for location scale and shape
 models see Chapter 7 of Stasinopoulos et al. (2017) <doi:10.1201/b21973-4>.

Package: r-cran-gamlss.nl
Architecture: all
Version: 4.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-survival
Filename: pool/dists/focal/main/r-cran-gamlss.nl_4.1-0-1.ca2004.1_all.deb
Size: 112396
MD5sum: ff248340e6718890854e63a5f230f552
SHA1: 3f1fb48d0cf5b141c219f03c258fbbebfe3d6abc
SHA256: 79d3b417be75adf910556905131acf321fd992c8d30c26f65b4d2e42c26102d6
SHA512: 20383aac1afb7175b28b4b6d274509225aa36f470b1fa208bb2c9b568b5734a5bc350d64ebbaf386946d91ac9e3f408bbe14f3f479f76343aa97e24e9f8685be
Homepage: https://cran.r-project.org/package=gamlss.nl
Description: CRAN Package 'gamlss.nl' (Fitting non linear parametric GAMLSS models)
 This is an add on package to GAMLSS. It allows one extra method for fitting
 GAMLSS models. The main function nlgamlss() can fit any parametric (up to
 four parameter) GAMLSS distribution.

Package: r-cran-gamlss.spatial
Architecture: all
Version: 3.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss, r-cran-gamlss.add, r-cran-spam, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-gamlss.spatial_3.0-2-1.ca2004.1_all.deb
Size: 105812
MD5sum: 0675cb471a6430a2c916c75cd2557c35
SHA1: be176384d041744d9e1aacf557ebb1b570c2d338
SHA256: 3dd7f70adf9bb2722fa71d103c3f47e891028477312f150cf286c47043e4f096
SHA512: e545bac63e4fc00b40b409082d161ad104ebb4b176ef4befdcbb12ddbbc0e94d1095b4b142449fc23960a198a007cc537312052974a884583a1f2216b6b946fc
Homepage: https://cran.r-project.org/package=gamlss.spatial
Description: CRAN Package 'gamlss.spatial' (Spatial Terms in Generalized Additive Models for Location Scaleand Shape Models)
 It allows us to fit Gaussian Markov Random Field within the Generalized
 Additive Models for Location Scale and Shape algorithms.

Package: r-cran-gamlss.tr
Architecture: all
Version: 5.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gamlss.dist, r-cran-gamlss
Filename: pool/dists/focal/main/r-cran-gamlss.tr_5.1-9-1.ca2004.1_all.deb
Size: 93504
MD5sum: e27e046cedc38d150aad4a4726051faa
SHA1: 943a389448b2764799a6ffc768adfd1345377bde
SHA256: 5f2644c621509804486c7f59092c5a469d6e5c280ea128fab0e2efb27bab2cc0
SHA512: cd460e8170ad46cc00a9d5c320aa5d1efafe5c2bf6445e5e8958c6fcfdf64dd2c11a7b115e52870c7556fa5abb7cefb71a6d7fe26d28c2f26138e045919dd7e8
Homepage: https://cran.r-project.org/package=gamlss.tr
Description: CRAN Package 'gamlss.tr' (Generating and Fitting Truncated `gamlss.family' Distributions)
 This is an add on package to GAMLSS. The purpose of this package is to allow
 users to defined truncated distributions in GAMLSS models. The main function
 gen.trun() generates truncated version of an existing GAMLSS family
 distribution.

Package: r-cran-gamlssbssn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss.dist, r-cran-mass, r-cran-gamlss
Filename: pool/dists/focal/main/r-cran-gamlssbssn_0.1.0-1.ca2004.1_all.deb
Size: 25344
MD5sum: 8d84e09b2bba725885f571e2a8d06fe1
SHA1: c25af17fc8b2f62d290fb2ab829992ea52571738
SHA256: 1fd2f1d81154f48f9d823c84abd99c513b058f587b4896cfe11177f6c119b60d
SHA512: 61a8d43a69f3009bd66c023a353753bbe6c4279b8a7b7141a32c7546de28e66a213d476ae0b0714a4ac8b2542b150b257195860bd796d221b04a71b34f877e66
Homepage: https://cran.r-project.org/package=gamlssbssn
Description: CRAN Package 'gamlssbssn' (Bimodal Skew Symmetric Normal Distribution)
 Density, distribution function, quantile function and random generation for
 the bimodal skew symmetric normal distribution of Hassan and El-Bassiouni
 (2016) <doi:10.1080/03610926.2014.882950>.

Package: r-cran-gamlssx
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist, r-cran-nieve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gamlssx_1.0.2-1.ca2004.1_all.deb
Size: 100392
MD5sum: 473948ae77d37b949d3688493932dc2b
SHA1: 4e587c78dfccbcccfdb93fa9db0ee84c325eb30a
SHA256: 2319544b98ef0877b340c274e9dc28deaf665a9f0bdea6f1497b17eeb8278e7d
SHA512: e0d98ca93c7dca6bf4cc99fdfb937f11ccb40d57dcc80afe1284ed57500baa06f66a3fae0f91ed14c5762eeb0aad1f229fceaaabeea29bfbd859052e457c7894
Homepage: https://cran.r-project.org/package=gamlssx
Description: CRAN Package 'gamlssx' (Generalized Additive Extreme Value Models for Location, Scaleand Shape)
 Fits generalized additive models for the location, scale and shape
 parameters of a generalized extreme value response distribution. The
 methodology is based on Rigby, R.A. and Stasinopoulos, D.M. (2005),
 <doi:10.1111/j.1467-9876.2005.00510.x> and implemented using functions from
 the 'gamlss' package <doi:10.32614/CRAN.package.gamlss>.

Package: r-cran-gamm4
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-lme4, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-gamm4_0.2-7-1.ca2004.1_all.deb
Size: 57832
MD5sum: 21373d68bff65a8410c590235063467f
SHA1: 48c9e47f0d050b5783a47dc1ad4306760d0a6a79
SHA256: dedc7af78e14501122903b91c18ff832ddf38546ca532b0b88cc86662ba56d1e
SHA512: 1f6ad844ee0232c56ff3d13c05335f0843f7744c53bd39ff6d89331898c7a68d2135bd11f80db8ffeb5e0a9e1383ed05bcbbabe48d1439a416b7d5a7e6a52750
Homepage: https://cran.r-project.org/package=gamm4
Description: CRAN Package 'gamm4' (Generalized Additive Mixed Models using 'mgcv' and 'lme4')
 Estimate generalized additive mixed models via a version of function gamm()
 from 'mgcv', using 'lme4' for estimation.

Package: r-cran-gamma
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-isoplotr, r-cran-rlang, r-cran-rxylib
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-gamma_1.1.0-1.ca2004.1_all.deb
Size: 877652
MD5sum: 77f721b6156b4c040373438124457450
SHA1: e7ac0a53e5fdf2654d1788e6aafecedc76e5e584
SHA256: a158b1229ef4355b5a1705ac4a2f5ccf0f0037dedbc3030488f8d0ddc8aaf27c
SHA512: 362c792b788e774a1a164971e2725b8dc3a119183c003f6c55ea08e6ecdb62735cd8272ff7aab13e1a452e30f966de7f09c302d477b007b2c71f1351306fe806
Homepage: https://cran.r-project.org/package=gamma
Description: CRAN Package 'gamma' (Dose Rate Estimation from in-Situ Gamma-Ray SpectrometryMeasurements)
 Process in-situ Gamma-Ray Spectrometry for Luminescence Dating. This package
 allows to import, inspect and correct the energy shifts of gamma-ray
 spectra. It provides methods for estimating the gamma dose rate by the use
 of a calibration curve as described in Mercier and Falguères (2007). The
 package only supports Canberra CNF and TKA and Kromek SPE files.

Package: r-cran-gammafuncmodel
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-nlme, r-cran-dplyr, r-cran-cubature, r-cran-rootsolve, r-cran-patchwork, r-cran-scales, r-cran-ggplot2, r-cran-future.apply, r-cran-gridextra, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-gammafuncmodel_5.0-1.ca2004.1_all.deb
Size: 98412
MD5sum: 64028f79a5983803b50532648a8bb2ce
SHA1: bf7f69e7288ec5b12efc73b168a3b059bdc31118
SHA256: 2d41f0972ceb2418c8c14b34423daeacaa3be2a3469d5058368e03a1ada11cf3
SHA512: 51cf7579c774a9ab00f18c0271c199b1b8e3ff0f77b38f1fd0a395c88f76de435d85986ac90422eea0ff428d475a0d498020d6fe2b91e6028862515e752dfd8a
Homepage: https://cran.r-project.org/package=gammaFuncModel
Description: CRAN Package 'gammaFuncModel' (Non-Linear Mixed Effects Model Based on the Gamma Function Form)
 Identifies biomarkers that exhibit differential response dynamics by time
 across groups and estimates kinetic properties of biomarkers.

Package: r-cran-gammareg
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gammareg_3.0.1-1.ca2004.1_all.deb
Size: 42388
MD5sum: 9ab1f332d7ad5f7458df564b524ac27a
SHA1: cbdc9a66b4ff2748736781bacc30ad551b2afacd
SHA256: be78772ced99e61aad28d4df342f06400bd863ec949b27e1895daed544cc256d
SHA512: 9452200a3b8cbcf69522908a9b95defffafb69f499e4f5e723e45f659be9d5efbfec5735a1ef1fe98b7f5fbe429923f4373e9652c2d527236a33c1be5127dc3e
Homepage: https://cran.r-project.org/package=Gammareg
Description: CRAN Package 'Gammareg' (Classic Gamma Regression: Joint Modeling of Mean and ShapeParameters)
 Performs Gamma regression, where both mean and shape parameters follows
 lineal regression structures.

Package: r-cran-gammi
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-gammi_0.2-1.ca2004.1_all.deb
Size: 156660
MD5sum: 7721f5c3c5763bc5a4119468784ac154
SHA1: 9ba218a9fb71bdde37b126a17afcf167d9346be8
SHA256: f2ed5d27fdc0311ec5fb35afd12fad37b817e90d7376da0d84ae8c88f562dba9
SHA512: bf43fadc82b87b221b4a2b72c51ffd6f7257d1464ba699ad61f91ce1eaac8de447003044476ef2af0fb06d002b1ae01a8988e30fd83729d2086e4939add7c07b
Homepage: https://cran.r-project.org/package=gammi
Description: CRAN Package 'gammi' (Generalized Additive Mixed Model Interface)
 An interface for fitting generalized additive models (GAMs) and generalized
 additive mixed models (GAMMs) using the 'lme4' package as the computational
 engine, as described in Helwig (2024) <doi:10.3390/stats7010003>. Supports
 default and formula methods for model specification, additive and tensor
 product splines for capturing nonlinear effects, and automatic determination
 of spline type based on the class of each predictor. Includes an S3 plot
 method for visualizing the (nonlinear) model terms, an S3 predict method for
 forming predictions from a fit model, and an S3 summary method for
 conducting significance testing using the Bayesian interpretation of a
 smoothing spline.

Package: r-cran-gamrr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-boot
Filename: pool/dists/focal/main/r-cran-gamrr_0.7.0-1.ca2004.1_all.deb
Size: 25072
MD5sum: 7e6834f4a9a708eb34b84414df90e39f
SHA1: fd8aa5fb3d00f14c0ceeea81554416ccce94d997
SHA256: b65b896e5d87c9a14375983d58c0ebd8aa446dc168b7a7a98752c0a1227a752b
SHA512: b2e20bb3953e971a28d2ca96290a0eb16b30f95070bcdf362772b28b07439354d4153fd78c5b484670f1d472baf7b191bd080e87c6f9e8a5195016a7a2cd293d
Homepage: https://cran.r-project.org/package=gamRR
Description: CRAN Package 'gamRR' (Calculate the RR for the GAM)
 To calculate the relative risk (RR) for the generalized additive model.

Package: r-cran-ganalytics
Architecture: all
Version: 0.10.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3069
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-httpuv, r-cran-httr, r-cran-googleanalyticsr, r-cran-jsonlite, r-cran-lazyeval, r-cran-lubridate, r-cran-plyr, r-cran-r6, r-cran-rvest, r-cran-stringr, r-cran-xml, r-cran-xml2, r-cran-scales, r-cran-selectr, r-cran-tibble
Suggests: r-cran-devtools, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ganalytics_0.10.7-1.ca2004.1_all.deb
Size: 1830564
MD5sum: 2dd0ff7e4908a659c5bfaab77e7461f7
SHA1: 6a03f9c748f86332e738dabd9194ce5de391b913
SHA256: b10b9bc2c4a217c22bb33c852c989c08247fbade79a1e91c251f5d5f1dca731c
SHA512: b79aea06b7e7c76e968e251ed8845400f61710e9a70bcbedc5430349fd0cfca7195e59facbba55731139265d2bc98587900466913f1b5edadadb84366063f1d4
Homepage: https://cran.r-project.org/package=ganalytics
Description: CRAN Package 'ganalytics' (Interact with 'Google Analytics')
 Functions for querying the 'Google Analytics' core reporting, real-time,
 multi-channel funnel and management APIs, as well as the 'Google Tag
 Manager' (GTM) API. Write methods are also provided for the management and
 GTM APIs so that you can change tag, property or view settings, for example.
 Define reporting queries using natural R expressions instead of being
 concerned as much about API technical intricacies like query syntax,
 character code escaping, and API limitations.

Package: r-cran-gander
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3980
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-ellmer, r-cran-miniui, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-streamy, r-cran-treesitter, r-cran-treesitter.r
Suggests: r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gander_0.1.0-1.ca2004.1_all.deb
Size: 2501896
MD5sum: 82b1b3583abf038f457b170d40431890
SHA1: 175e191e15da9c8b3be705c5037c4ed736bdc70a
SHA256: 0ca6000bae9d3ecd72ffa2b43714a0c7e50fe9a94dbbb6899b56f11466bf74b9
SHA512: dc7766ab54453408993cbe8c97f08da35e67504744555196954a19a18ae9b97195d91c810aa81001af89fbf6e8d04f08cdbf4f1bcc8cc706a4edaf9cffc3685f
Homepage: https://cran.r-project.org/package=gander
Description: CRAN Package 'gander' (High Performance, Low Friction Large Language Model Chat)
 Introduces a 'Copilot'-like completion experience, but it knows how to talk
 to the objects in your R environment. 'ellmer' chats are integrated directly
 into your 'RStudio' and 'Positron' sessions, automatically incorporating
 relevant context from surrounding lines of code and your global environment
 (like data frame columns and types). Open the package dialog box with a
 keyboard shortcut, type your request, and the assistant will stream its
 response directly into your documents.

Package: r-cran-ganpa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ganpadata
Filename: pool/dists/focal/main/r-cran-ganpa_1.2-1.ca2004.1_all.deb
Size: 58704
MD5sum: 8c3aee779ef69a7f528c9fb4e01b024f
SHA1: 8641601c50e771c64c7074bbde877ae227c8f045
SHA256: 022d347fca730cc160573df7d74843ac7b2ca3f557ebdf9bd7f6da304aa136de
SHA512: 996f7b53265516f265637b657cec870d56e55de954206b560ca35550704a08c87bc59bf6b11531a7f284cd98366d35d46fe479ba82224c251c74a46b797112ec
Homepage: https://cran.r-project.org/package=GANPA
Description: CRAN Package 'GANPA' (Gene Association Network-Based Pathway Analysis (GANPA))
 A network-based gene weighting algorithm for pathway enrichment analysis,
 using either RNA-seq or microarray data. Zhaoyuan Fang, Weidong Tian and
 Hongbin Ji (2012) <doi:10.1038/cr.2011.149>.

Package: r-cran-ganpadata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4759
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ganpa
Filename: pool/dists/focal/main/r-cran-ganpadata_1.0-1.ca2004.1_all.deb
Size: 4845128
MD5sum: 21a0ba5dba611434f838148719d22562
SHA1: 3a834814429c462b86fdb9beecd38ee6c496cfd2
SHA256: a50f68e7be37f00f963a6f352f241bbea235b133891cba8d065e313541feff21
SHA512: 77864facef4790c55a56e96bce3c037b04c3435544853ccaeb5583e280d6b37a25c0739039c9e983092a8c7db49969fbc0741288226c7163cd861cc9451478c3
Homepage: https://cran.r-project.org/package=GANPAdata
Description: CRAN Package 'GANPAdata' (The GANPA Datasets Package)
 This is a dataset package for GANPA, which implements a network-based gene
 weighting approach to pathway analysis. This package includes data useful
 for GANPA, such as a functional association network, pathways, an expression
 dataset and multi-subunit proteins.

Package: r-cran-gap.datasets
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4186
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gap.datasets_0.0.6-1.ca2004.1_all.deb
Size: 3559828
MD5sum: 62d4e033335e2162fef290015f322d2b
SHA1: b03649425b18691d5efc7e60973a6363fbe48dee
SHA256: a9c8c56ce4e2aa47aff484022ca40c88a4ffa52feb52f656e65e732d3d41512d
SHA512: d42c83ee1ecec00cc6a146abc0e5ff4d6b2e810139a86b3647d2750d9075acc77ac958714c4a6fd541ef37109a4e096764dcc7c4a6c9d7c16559d8b5574efc26
Homepage: https://cran.r-project.org/package=gap.datasets
Description: CRAN Package 'gap.datasets' (Datasets for 'gap')
 Datasets associated with the 'gap' package. Currently, it includes an
 example data for regional association plot (CDKN), an example data for a
 genomewide association meta-analysis (OPG), data in studies of Parkinson's
 diease (PD), ALHD2 markers and alcoholism (aldh2), APOE/APOC1 markers and
 Schizophrenia (apoeapoc), cystic fibrosis (cf), a Olink/INF panel (inf1),
 Manhattan plots with (hr1420, mhtdata) and without (w4) gene annotations.

Package: r-cran-gapanalysis
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3419
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-data.table, r-cran-sp, r-cran-tmap, r-cran-sf, r-cran-geosphere, r-cran-fasterize, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-rgdal, r-cran-rgeos, r-cran-kableextra, r-cran-dt
Filename: pool/dists/focal/main/r-cran-gapanalysis_1.0.2-1.ca2004.1_all.deb
Size: 3463332
MD5sum: c92c83da33663f00ef5b21acd4ec68b7
SHA1: 56d5b39bccfb92c141aaa4e302a4cb65d5a6d929
SHA256: f1b6dfa7497c41da2cd4b5e2ec74dc493dac770506a28fc4094e1ed8a2a17baa
SHA512: 82ede5d9492991221a5bc2c13e9fbb5dd375b0fe0ed3f24b7af493e2eaec102d32ec967a2111a0a53842d4bb7d1fce8765b2aa6fc2b0f19f5bb48912e8969d6e
Homepage: https://cran.r-project.org/package=GapAnalysis
Description: CRAN Package 'GapAnalysis' (Conservation Indicators using Spatial Information)
 Supports the assessment of the degree of conservation of taxa in
 conservation systems, both in ex situ [in genebanks, botanical gardens, and
 other repositories] and in situ [in protected natural areas]. Methods are
 described in Carver et al. [2021] <doi:10.1111/ecog.05430>, building on
 Khoury et al. [2020] <doi:10.1073/pnas.2007029117>, Khoury et al. [2019]
 <doi:10.1016/j.ecolind.2018.11.016>, Khoury et al. [2019]
 <doi:10.1111/DDI.13008>, Castaneda-Alvarez et al. [2016]
 <doi:10.1038/nplants.2016.22>, and Ramirez-Villegas et al. [2010]
 <doi:10.1371/journal.pone.0013497>.

Package: r-cran-gaparsimony
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-foreach, r-cran-iterators
Suggests: r-cran-doparallel, r-cran-dorng, r-cran-knitr, r-cran-lhs, r-cran-mass, r-cran-caret, r-cran-mlbench, r-cran-e1071, r-cran-nnet, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-gaparsimony_0.9.5-1.ca2004.1_all.deb
Size: 236516
MD5sum: 05243d904ad351c744249d750477df29
SHA1: 5900d19f925b658ed17b6f7aa1d884b69fe40a51
SHA256: aec5eb9365985e4f4a9cc17f7b3cfa1d69d55eaabf6a40d76a6c3f8634964608
SHA512: 7c0852f8f244e35a50031470b9dfc457204096bd498a2a30bc77a5c6d0c8e731bd74c6f58b2a4812497576585461d0b7cb6ca1807b41396cf4a14c685456b991
Homepage: https://cran.r-project.org/package=GAparsimony
Description: CRAN Package 'GAparsimony' (Searching Parsimony Models with Genetic Algorithms)
 Methodology that combines feature selection, model tuning, and parsimonious
 model selection with Genetic Algorithms (GA) proposed in {Martinez-de-Pison}
 (2015) <DOI:10.1016/j.asoc.2015.06.012>. To this objective, a novel GA
 selection procedure is introduced based on separate cost and complexity
 evaluations.

Package: r-cran-gapclosing
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1056
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-ranger, r-cran-glmnet, r-cran-magrittr, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-tidyr, r-cran-foreach, r-cran-tidyselect, r-cran-doparallel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gapclosing_1.0.2-1.ca2004.1_all.deb
Size: 586268
MD5sum: fac60c1bf1d926b503a023337e26226e
SHA1: 2d30464f2ee6d9c9565e73b1816ecb66b05e74f5
SHA256: cf8c3ab16fd63fb09bca8faea124c88b4f5375d761ee2f2143ca1c695006fe84
SHA512: 55f715ea0f2eff964fa0a2f5f04e104775d079bca417744551d2614a31e99a9021c32f1cf62e8fde0fbefeeb6adf4675571667e5a9f68e7ffd6763b9a7d707b5
Homepage: https://cran.r-project.org/package=gapclosing
Description: CRAN Package 'gapclosing' (Estimate Gaps Under an Intervention)
 Provides functions to estimate the disparities across categories (e.g. Black
 and white) that persists if a treatment variable (e.g. college) is
 equalized. Makes estimates by treatment modeling, outcome modeling, and
 doubly-robust augmented inverse probability weighting estimation, with
 standard errors calculated by a nonparametric bootstrap. Cross-fitting is
 supported. Survey weights are supported for point estimation but not for
 standard error estimation; those applying this package with complex survey
 samples should consult the data distributor to select an appropriate
 approach for standard error construction, which may involve calling the
 functions repeatedly for many sets of replicate weights provided by the data
 distributor. The methods in this package are described in Lundberg (2021)
 <doi:10.31235/osf.io/gx4y3>.

Package: r-cran-gapmap
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1813
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-dendsort, r-cran-rcolorbrewer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gapmap_1.0.0-1.ca2004.1_all.deb
Size: 1326544
MD5sum: 44bc3e1a6c3874dd34d04e52b6335de5
SHA1: f1d0cc1ec69d75cbae1346209cbeb31346ecacec
SHA256: 3f6b778e44606320dac2f51815c59e92606b85f055be93ce1cc6e49e8bc952ad
SHA512: 8937c392c500e8afdf59e83032edadee071bb63f944e44cc48d7ac0a2845e42f4b6bb8cc72671180bba24408c8979ce94db289aa21589e37cafaee7cb894331c
Homepage: https://cran.r-project.org/package=gapmap
Description: CRAN Package 'gapmap' (Drawing Gapped Cluster Heatmaps with 'ggplot2')
 The gap encodes the distance between clusters and improves interpretation of
 cluster heatmaps. The gaps can be of the same distance based on a height
 threshold to cut the dendrogram. Another option is to vary the size of gaps
 based on the distance between clusters.

Package: r-cran-gapminder
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2850
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gapminder_1.0.1-1.ca2004.1_all.deb
Size: 2063868
MD5sum: 2032dda4d45a82334f67b22e2b563460
SHA1: 5df12200799e73697a5a93ff784d09797fa10d2d
SHA256: 2c3c7914b9d77801f112e2ae0d47ea893a9d4e98540a9cd331239d5dc7690db4
SHA512: c1b08f84d154f4be21117ffa30a3b84f13fc14ae4dfbb31998fd0b6116cd2ab447b7c650825c11cc27a9c1ba81315f30e6358b06e42c1cd97405f46b17f1a0a0
Homepage: https://cran.r-project.org/package=gapminder
Description: CRAN Package 'gapminder' (Data from Gapminder)
 An excerpt of the data available at Gapminder.org. For each of 142
 countries, the package provides values for life expectancy, GDP per capita,
 and population, every five years, from 1952 to 2007.

Package: r-cran-garch.x
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ga, r-cran-gensa, r-cran-pso
Filename: pool/dists/focal/main/r-cran-garch.x_1.0-1.ca2004.1_all.deb
Size: 62576
MD5sum: dc95cd4be6afec4d67d411a907f3bd20
SHA1: 8b73491456814dde0a892b9b33f4b3c15b92dd57
SHA256: e608a6c96f0ade45cb880938b36e9b5c538f11c44d4382eb56a8e9555496da72
SHA512: af86bd68e4967f7fe9897ddcd4618b1575039b04daaafd9367ebc84d6e72be5090767280c638d48c1e32368f788e3603cb638e50ff0efbcb415b67e86987d2e4
Homepage: https://cran.r-project.org/package=GARCH.X
Description: CRAN Package 'GARCH.X' (Estimation and Exogenous Covariate Selection for GARCH-X Models)
 Estimates the parameters of a GARCH-X model with exogenous covariates,
 performs hypothesis tests for the parameters returning the p-values, and
 uses False Discovery Rate p-value corrections to select the exogenous
 variables.

Package: r-cran-garchito
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-garchito_0.1.0-1.ca2004.1_all.deb
Size: 141812
MD5sum: 29fc5ab2b1e48f8c30c4f3e5a5abe1e0
SHA1: e3c78342b48ee747daae46191571a51b321a9818
SHA256: 0d172745bd276a821730ac29cbf40ac421cc17b68bb24bc3ec95a1b2dd21b677
SHA512: 4f86c7ea2d97f5c92bbbd474ec45916938b2e1bb9abada72f0459d695339e287514557742c52bd8fc8853b7fb9e33512cb738e79d57e3c3893882fce5e416cf0
Homepage: https://cran.r-project.org/package=GARCHIto
Description: CRAN Package 'GARCHIto' (Class of GARCH-Ito Models)
 Provides functions to estimate model parameters and forecast future
 volatilities using the Unified GARCH-Ito [Kim and Wang (2016)
 <doi:10.1016/j.jeconom.2016.05.003>] and Realized GARCH-Ito [Song et. al.
 (2020) <doi:10.1016/j.jeconom.2020.07.007>] models. Optimization is done
 using augmented Lagrange multiplier method.

Package: r-cran-garchsk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-garchsk_0.1.0-1.ca2004.1_all.deb
Size: 75312
MD5sum: 8446a57a6560f92fb20f52d11656d24f
SHA1: 18563c313b4fd360f07ebc2ea0efcfe8a73c8630
SHA256: 712dd90b4fe7ca5c9e3320420d658e7a040b03ffee836bcadae01cd0209a4bff
SHA512: 19dd96fbd7401d2a9139bf98b8bed711659349b4b3d4700cc601844f5c5d068d2d0c12f1ff13927d33f48889b9010eb43777e7710c341f2c0db77efd7412e489
Homepage: https://cran.r-project.org/package=GARCHSK
Description: CRAN Package 'GARCHSK' (Estimating a GARCHSK Model and GJRSK Model)
 Functions for estimating a GARCHSK model and GJRSK model based on a
 publication by Leon et,al (2005)<doi:10.1016/j.qref.2004.12.020> and
 Nakagawa and Uchiyama (2020)<doi:10.3390/math8111990>. These are a
 GARCH-type model allowing for time-varying volatility, skewness and
 kurtosis.

Package: r-cran-garcom
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-vcfr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-garcom_1.2.2-1.ca2004.1_all.deb
Size: 58032
MD5sum: 57e21d951136dd802be4900083b47bca
SHA1: 4aa323ec18c301671d51a3d66385bd4446100c48
SHA256: 44877c637db3bbc25bc2f1cca09a0905453014af482ee6f313fd013cd97eb6cc
SHA512: 352f1e9cdbf3a598cbc7059b83b04f8772b182fbe3ff7df0f9845225697d68a70dd8afe054c1ec740ff8f4efb2d6f63bf954cb0f05ae0214264c5ec889294ee0
Homepage: https://cran.r-project.org/package=GARCOM
Description: CRAN Package 'GARCOM' (Gene and Region Counting of Mutations ("GARCOM"))
 Gene and Region Counting of Mutations (GARCOM) package computes mutation (or
 alleles) counts per gene per individuals based on gene annotation or genomic
 base pair boundaries. It comes with features to accept data formats in
 plink(.raw) and VCF. It provides users flexibility to extract and filter
 individuals, mutations and genes of interest.

Package: r-cran-gargle
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1252
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-openssl, r-cran-rappdirs, r-cran-rlang, r-cran-withr
Suggests: r-cran-aws.ec2metadata, r-cran-aws.signature, r-cran-covr, r-cran-httpuv, r-cran-knitr, r-cran-rmarkdown, r-cran-sodium, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gargle_1.5.2-1.ca2004.1_all.deb
Size: 691440
MD5sum: 87be48f8f88a9f1677d7416b0ba5b007
SHA1: d4d846afc36d617730092151cd7616e42f5c8388
SHA256: 1823875ee4b195cd20485fbeb5fdfc4ce0ee378bbd6b036c3b3f437d1d7589c8
SHA512: d2fb077906dccc9ceaee8874e198cdabe6eee421e8317d75b9032b95becf9caaddb8cffbba2d791561d5e9c80411b926ad747d6e6f999008c8613a7e453d1ed4
Homepage: https://cran.r-project.org/package=gargle
Description: CRAN Package 'gargle' (Utilities for Working with Google APIs)
 Provides utilities for working with Google APIs
 <https://developers.google.com/apis-explorer>.  This includes functions and
 classes for handling common credential types and for preparing, executing,
 and processing HTTP requests.

Package: r-cran-gargoyle
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-attempt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gargoyle_0.0.1-1.ca2004.1_all.deb
Size: 22328
MD5sum: 412dff8b6302800f0d7fa97dc8c91422
SHA1: 7794482e611e6fff36e701264fcb4fe3756a2783
SHA256: f5316ac412182bdc7aced64eaa949afb2bb3f50d2f483753a1b79e10786607ac
SHA512: a089319c92e55f69efdb0d5c0e2a35e459bc0d57721c418e866b9599f9a087b06ff699965f748e1adae1bb28ec162c15e931cbf0ad73cf9ca8127dabdd24cce1
Homepage: https://cran.r-project.org/package=gargoyle
Description: CRAN Package 'gargoyle' (An Event-Based Mechanism for 'Shiny')
 An event-Based framework for building 'Shiny' apps.  Instead of relying on
 standard 'Shiny' reactive objects, this package allow to relying on a
 lighter set of triggers, so that reactive contexts can be invalidated with
 more control.

Package: r-cran-garma
Architecture: all
Version: 0.9.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-ggplot2, r-cran-rsolnp, r-cran-nloptr, r-cran-pracma, r-cran-signal, r-cran-zoo, r-cran-lubridate, r-cran-rlang, r-cran-crayon
Suggests: r-cran-longmemo, r-cran-yardstick, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-garma_0.9.24-1.ca2004.1_all.deb
Size: 975220
MD5sum: ea3876cfd6e05daaae6748c865a796e6
SHA1: d0cad4593d7e04739c6ee9d924820005bd7d88b0
SHA256: 60975fab3a9e11e996fef2e0488a01d89e1bf8e7eff9c0841e1c50ac65b07cb4
SHA512: d4f3b0875105b1389a537cdee77926fa77e3d3b0b02972ed3ae31dc3f7d96fd8854a34852eabb04a8885d3e009b0572c7b4897cf17ae6d93fa5fd79f935cd440
Homepage: https://cran.r-project.org/package=garma
Description: CRAN Package 'garma' (Fitting and Forecasting Gegenbauer ARMA Time Series Models)
 Methods for estimating univariate long memory-seasonal/cyclical Gegenbauer
 time series processes. See for example (2022)
 <doi:10.1007/s00362-022-01290-3>.  Refer to the vignette for details of
 fitting these processes.

Package: r-cran-garray
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-garray_1.1.2-1.ca2004.1_all.deb
Size: 115668
MD5sum: 3cdb8b40e9fa399cb74004126ea4bf7c
SHA1: 143dc8ce1efc28573594aff614731868364f8524
SHA256: b3e58b109ae0d9e39715e8091e434361795a0ecbe0547d53e64552c022f59da6
SHA512: 46f4c55b3083ec04e29ddbaedbcfa8740d1f937a460754f03b8d15bbf2978f513ab851ad04c78812c26e42de8eaa2202280767cc23a6817a97acc6fce085509e
Homepage: https://cran.r-project.org/package=garray
Description: CRAN Package 'garray' (Generalized Array Arithmetic for Ragged Arrays with NamedMargins)
 Organize a so-called ragged array as generalized arrays, which is simply an
 array with sub-dimensions denoting the subdivision of dimensions (grouping
 of members within dimensions).  By the margins (names of dimensions and
 sub-dimensions) in generalized arrays, operators and utility functions
 provided in this package automatically match the margins, doing map-reduce
 style parallel computation along margins.  Generalized arrays are also
 cooperative to R's native functions that work on simple arrays.

Package: r-cran-gasanalyzer
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1027
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonify, r-cran-stringi, r-cran-tibble, r-cran-tidyxl, r-cran-units, r-cran-vctrs, r-cran-xml2, r-cran-nleqslv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-ggplot2, r-cran-gridextra, r-cran-photosynthesis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gasanalyzer_0.4.3-1.ca2004.1_all.deb
Size: 638476
MD5sum: 4ba709521a0a1c480557e5a948c4fa2b
SHA1: ed67720136b1d3df7b6c70468e90b8f677881a21
SHA256: 8461956b49003decb615fa3a7db7cc49192f93bf1e5815e9feae90b9868a9bfd
SHA512: 91882dfa45746b283bcb87d7ebeada89c75933d93a05cbdf1f041bdc126070938d20b553aae0d3959f258305ab6db9b25a18a4b2b41a6483cf0afd589b704bc8
Homepage: https://cran.r-project.org/package=gasanalyzer
Description: CRAN Package 'gasanalyzer' (Import, Recompute and Analyze Data from Portable Gas Analyzers)
 The gasanalyzer R package offers methods for importing, preprocessing, and
 analyzing data related to photosynthetic characteristics (gas exchange,
 chlorophyll fluorescence and isotope ratios). It translates variable names
 into a standard format, and can recalculate derived, physiological
 quantities using imported or predefined equations. The package also allows
 users to assess the sensitivity of their results to different assumptions
 used in the calculations.  See also Tholen (2024)
 <doi:10.1093/aobpla/plae035>.

Package: r-cran-gasfluxes
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 772
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sfsmisc, r-cran-data.table, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gasfluxes_0.7-1.ca2004.1_all.deb
Size: 548768
MD5sum: f89ab8e69bc2fce5679bea77158ef740
SHA1: 10870ea35bcb4149abb868b6ef0a9651112ed4c2
SHA256: b6ac592cabef4d581e3a5ef17174572518d1ef31d48881d067e5eca7f166caa5
SHA512: 24220c49e37cfadf0a92f6ecf572c2a52696c167fcb956b8ca19c8a0cdd23b282c23ace1abca43abe7e0d96b8d5fc1a83ebc69cf6b153dc60e518b19448e14de
Homepage: https://cran.r-project.org/package=gasfluxes
Description: CRAN Package 'gasfluxes' (Greenhouse Gas Flux Calculation from Chamber Measurements)
 Functions for greenhouse gas flux calculation from chamber measurements.

Package: r-cran-gasmodel
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1695
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-arrangements, r-cran-copula, r-cran-dplyr, r-cran-ggplot2, r-cran-matrix, r-cran-mvnfast, r-cran-nloptr, r-cran-numderiv, r-cran-pracma, r-cran-tidyr
Suggests: r-cran-hms, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gasmodel_0.6.1-1.ca2004.1_all.deb
Size: 1219676
MD5sum: 01e8b747bf8c82eb22cd5827186ee0a2
SHA1: 78940d988191fdb9c51cf5ec05ccb54722fad1a5
SHA256: 9fae0ddde569253fc1f887b50898aadc9ed1a36cde0fe2728ca197ad973604ad
SHA512: 5b8783050e1018e67e686d8a559b4312ce0ea2d02059cfe04e1010848c671a51c1b27ff41ef76e85bae3cd9a22daa33a021f662df945e0c5612ebe7caf04cf5e
Homepage: https://cran.r-project.org/package=gasmodel
Description: CRAN Package 'gasmodel' (Generalized Autoregressive Score Models)
 Estimation, forecasting, and simulation of generalized autoregressive score
 (GAS) models of Creal, Koopman, and Lucas (2013) <doi:10.1002/jae.1279> and
 Harvey (2013) <doi:10.1017/cbo9781139540933>.  Model specification allows
 for various data types and distributions, different parametrizations,
 exogenous variables, joint and separate modeling of exogenous variables and
 dynamics, higher score and autoregressive orders, custom and unconditional
 initial values of time-varying parameters, fixed and bounded values of
 coefficients, and missing values. Model estimation is performed by the
 maximum likelihood method.

Package: r-cran-gatepoints
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 823
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gatepoints_0.1.5-1.ca2004.1_all.deb
Size: 283040
MD5sum: ceb385d07209548e3049d847ba7353df
SHA1: 2e4ebb7cd3b9d0690c6e6213419f4990f694a11b
SHA256: 85009ee8e25f51819545eb698d7c0b95606aaeedb113c08af328139911d64fd3
SHA512: b46e38b047a67e27d52de868e1a44fb168193e367a81648f93623e442c1acd692b41caf4208cacba13181d68ca1b47936d704186fb636f853bd5f832e2a527a6
Homepage: https://cran.r-project.org/package=gatepoints
Description: CRAN Package 'gatepoints' (Easily Gate or Select Points on a Scatter Plot)
 Allows user to choose/gate a region on the plot and returns points within
 it.

Package: r-cran-gater
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1211
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fields, r-cran-lifecycle, r-cran-rlang, r-cran-sparr, r-cran-spatialpack, r-cran-spatstat.geom, r-cran-terra, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-r.rsp, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-gater_0.1.15-1.ca2004.1_all.deb
Size: 1003144
MD5sum: d5e69893fb104e7d6dbd0bbc9316cfbe
SHA1: 30b4d6a56ed2e58049f4a83c9ceacfab742739da
SHA256: a79626520e43d86bee12bac8344256dece8565f98b6e52dfc03ae1ad85d129c3
SHA512: 80663d45397b325321f66a6bbf8ebb5e4480a3aba0c386ba3a5453157b7a7758c51cc5b4d0feacf50f89573d1481ef359e381c9b00dc77ba428c86918e42f5b8
Homepage: https://cran.r-project.org/package=gateR
Description: CRAN Package 'gateR' (Flow/Mass Cytometry Gating via Spatial Kernel Density Estimation)
 Estimates statistically significant marker combination values within which
 one immunologically distinctive group (i.e., disease case) is more
 associated than another group (i.e., healthy control), successively, using
 various combinations (i.e., "gates") of markers to examine features of cells
 that may be different between groups. For a two-group comparison, the
 'gateR' package uses the spatial relative risk function estimated using the
 'sparr' package. Details about the 'sparr' package methods can be found in
 the tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about
 kernel density estimation can be found in J. F. Bithell (1990)
 <doi:10.1002/sim.4780090616>.  More information about relative risk
 functions using kernel density estimation can be found in J. F. Bithell
 (1991) <doi:10.1002/sim.4780101112>.

Package: r-cran-gators
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2721
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ridigbio, r-cran-dplyr, r-cran-rgbif, r-cran-magrittr, r-cran-coordinatecleaner, r-cran-terra, r-cran-spthin, r-cran-stringr, r-cran-leaflet, r-cran-parsedate, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gators_1.0.2-1.ca2004.1_all.deb
Size: 2158440
MD5sum: 4de16c80de78b32c5fb5cc0bb16c03bc
SHA1: 270439e420b981f1d32d357526b5743056133687
SHA256: f36c134a879a7d54c6505e6fa59f6d5ff87d800f62a9cef947c5a885961a8482
SHA512: b102314de6440f09abaa2c1bf2d6ea55350cc9eb1649234dfdda1cbe611006c81a69b9c2b76746fede6c79c8cbb55e329d96c859a3920cd162bcd94735a6edcc
Homepage: https://cran.r-project.org/package=gatoRs
Description: CRAN Package 'gatoRs' (Geographic and Taxonomic Occurrence R-Based Scrubbing)
 Streamlines downloading and cleaning biodiversity data from Integrated
 Digitized Biocollections (iDigBio) and the Global Biodiversity Information
 Facility (GBIF).

Package: r-cran-gauser
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gauser_1.3-1.ca2004.1_all.deb
Size: 282300
MD5sum: 2671ddb3ca0d507a9a8cac67beca41b7
SHA1: 41f6d57d1ae511538d5fb37362cde750acaf2341
SHA256: 41a77addd3c2b6f1f55062cab8a010da727301dd3bd18c663204134722427e33
SHA512: 41873e36fff8909f564993e62a8184a926f9d7b95a236f007d45b359cb8dbf5fabfe925ae29d8b51aa040858ab1620a739069302b450dfc35ce144e5e65eddb1
Homepage: https://cran.r-project.org/package=gauseR
Description: CRAN Package 'gauseR' (Lotka-Volterra Models for Gause's 'Struggle for Existence')
 A collection of tools and data for analyzing the Gause microcosm
 experiments, and for fitting Lotka-Volterra models to time series data.
 Includes methods for fitting single-species logistic growth, and
 multi-species interaction models, e.g. of competition, predator/prey
 relationships, or mutualism. See documentation for individual functions for
 examples. In general, see the lv_optim() function for examples of how to fit
 parameter values in multi-species systems. Note that the general methods
 applied here, as well as the form of the differential equations that we use,
 are described in detail in the Quantitative Ecology textbook by Lehman et
 al., available at <http://hdl.handle.net/11299/204551>, and in Lina K.
 Mühlbauer, Maximilienne Schulze, W. Stanley Harpole, and Adam T. Clark.
 'gauseR': Simple methods for fitting Lotka-Volterra models describing
 Gause's 'Struggle for Existence' in the journal Ecology and Evolution.

Package: r-cran-gaussdiff
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gaussdiff_1.1-1.ca2004.1_all.deb
Size: 20748
MD5sum: da1314e7bd177b758522f84f9c2d912e
SHA1: 230c7dac225fa3e4fbe65405536b4b23484ff65a
SHA256: 65f85c4d81d55355a38fda14925d89bb60d67a55712b0422d2099661552e8e7e
SHA512: 33ccdeb875a2af124cb99185c349ab86abc2690eca7e84d17a1c47d7a59d475e3e934d520feacab0ecb92a3d6eaa129b2fc58e0e29b48b14037e9ea8e4f75f99
Homepage: https://cran.r-project.org/package=gaussDiff
Description: CRAN Package 'gaussDiff' (Difference measures for multivariate Gaussian probabilitydensity functions)
 A collection difference measures for multivariate Gaussian probability
 density functions, such as the Euclidea mean, the Mahalanobis distance, the
 Kullback-Leibler divergence, the J-Coefficient, the Minkowski L2-distance,
 the Chi-square divergence and the Hellinger Coefficient.

Package: r-cran-gaussfacts
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gaussfacts_0.0.2-1.ca2004.1_all.deb
Size: 27160
MD5sum: 6b80cb14ff681904a51c0672da51d916
SHA1: b10f24db378b6449b6af0f381307e3eb390cb2fe
SHA256: 51706f5200bf2598d96a3efa6f7d088408d105d101bf4df10da7bb8fe2715848
SHA512: 3ecf6d6ccf361bda66b63c84341fac3192bf5930f2bcd72afe8885fb7082bb88e4f0f87dc4d13c3ba6e2a373533c0fc710c82958a90826fc95536ae32c7adcfa
Homepage: https://cran.r-project.org/package=gaussfacts
Description: CRAN Package 'gaussfacts' (The Greatest Mathematician Since Antiquity)
 Display a random fact about Carl Friedrich Gauss based the on collection
 curated by Mike Cavers via the <http://gaussfacts.com> site.

Package: r-cran-gaussplotr
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 475
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-metr, r-cran-rgl, r-cran-viridislite
Suggests: r-cran-lattice, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gaussplotr_0.2.5-1.ca2004.1_all.deb
Size: 287828
MD5sum: e251894791a229a17c10acbf1675e65c
SHA1: bf282a57413f36960d7bc32de6e954f82a99510e
SHA256: d3c425be30ef1f117057b0d97480abfc80355b70fe45cbd34ee742c61b760343
SHA512: 722767694e107119b3a3884d0e8b15cd678ccd5f2f3cfb42d10d5db370a193b59052225b70d422c1f7331d3d9f72edd54c0f5874d1aed2e2fd29b8b020fdb0d4
Homepage: https://cran.r-project.org/package=gaussplotR
Description: CRAN Package 'gaussplotR' (Fit, Predict and Plot 2D Gaussians)
 Functions to fit two-dimensional Gaussian functions, predict values from
 fits, and produce plots of predicted data via either 'ggplot2' or base R
 plotting.

Package: r-cran-gaussquad
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-orthopolynom, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-gaussquad_1.0-3-1.ca2004.1_all.deb
Size: 192500
MD5sum: 168264d99c688103c15de14c7c579612
SHA1: fd7d8f02c9a49448eecbc837a53cf05861ed4440
SHA256: cb694362d35e5ff1a5070b5fb5c6119894aae917669cea2ca5acc57b98240a6c
SHA512: 561c9afd02a1b2bc7a5b6f513901e667080f70173ef134a990ac079a5b2bc4f91a74e05f9014f8adecd5e867e1701c672b1af19bcedec1fb96016472186bffae
Homepage: https://cran.r-project.org/package=gaussquad
Description: CRAN Package 'gaussquad' (Collection of Functions for Gaussian Quadrature)
 A collection of functions to perform Gaussian quadrature with different
 weight functions corresponding to the orthogonal polynomials in package
 orthopolynom.  Examples verify the orthogonality and inner products of the
 polynomials.

Package: r-cran-gaussratiovegind
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gaussratiovegind_2.0.3-1.ca2004.1_all.deb
Size: 59340
MD5sum: 8341efc808588a349b1746899f75d3f3
SHA1: 3d9f514e0ef28307b55257a23ae8b335d2c0d973
SHA256: 5ffbd01999104e00f70a68b830f88b9194ba1ab3e655dbb500552735a993f6f0
SHA512: 0745abdc7fe684f7f556081300aeb8666b55feca15eef79c49cd888a4f789a00322e5ae994a1850d54c82d18a98498f5ef9810ae3f5a6df21afdc5a648e2554f
Homepage: https://cran.r-project.org/package=gaussratiovegind
Description: CRAN Package 'gaussratiovegind' (Distribution of Gaussian Ratios)
 It is well known that the distribution of a Gaussian ratio does not follow a
 Gaussian distribution.  The lack of awareness among users of vegetation
 indices about this non-Gaussian nature could lead to incorrect statistical
 modeling and interpretation.  This package provides tools to accurately
 handle and analyse such ratios: density function, parameter estimation,
 simulation.  An example on the study of chlorophyll fluorescence can be
 found in A. El Ghaziri et al. (2023) <doi:10.3390/rs15020528> and another
 method for parameter estimation is given in Bouhlel et al. (2023)
 <doi:10.23919/EUSIPCO58844.2023.10290111>.

Package: r-cran-gausssuppression
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1081
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ssbtools, r-cran-regsdc, r-cran-matrix
Suggests: r-cran-formattable, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lpsolve, r-cran-rsymphony, r-cran-rglpk, r-cran-slam, r-cran-highs, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-gausssuppression_1.1.0-1.ca2004.1_all.deb
Size: 491120
MD5sum: fc5688ec6c95ceb3aeb7751f38e5d144
SHA1: a35672c811841995492c0639360aa7fedebc634f
SHA256: daddabaa3e73bcd7b163a22a380a8fe60e61254e0cb51a6b2e50babc6ffac2c9
SHA512: 8cc312a8f7a83634ee601a12ba2d9d9c67c82e6cf841e7e6f892b7e0376fd86eb2f66e121b6ebf897c0f82c194811520986169aac27ea8d0b1ccbcfcbf374521
Homepage: https://cran.r-project.org/package=GaussSuppression
Description: CRAN Package 'GaussSuppression' (Tabular Data Suppression using Gaussian Elimination)
 A statistical disclosure control tool to protect tables by suppression using
 the Gaussian elimination secondary suppression algorithm (Langsrud, 2024)
 <doi:10.1007/978-3-031-69651-0_6>. A suggestion is to start by working with
 functions SuppressSmallCounts() and SuppressDominantCells(). These functions
 use primary suppression functions for the minimum frequency rule and the
 dominance rule, respectively. Novel functionality for suppression of
 disclosive cells is also included. General primary suppression functions can
 be supplied as input to the general working horse function,
 GaussSuppressionFromData(). Suppressed frequencies can be replaced by
 synthetic decimal numbers as described in Langsrud (2019)
 <doi:10.1007/s11222-018-9848-9>.

Package: r-cran-gawdis
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fd, r-cran-ga
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gawdis_0.1.5-1.ca2004.1_all.deb
Size: 93620
MD5sum: 66117847714d646421f8cdf422428fbb
SHA1: 78d3cdacfed4818754843f4ad7a6cb4160c4e1f3
SHA256: d884d0f035e7235b2979ca9167c04b632ebb31b93d3d4df1ac6a5c4806931f9d
SHA512: d4bf346d3a7fff9290d6645254226d9cfe172a4a2b056fb6db38bc7853b7a0452cf883d01ccf33f160d3ee77707abe39666478584ef76b886ff11be25756d568
Homepage: https://cran.r-project.org/package=gawdis
Description: CRAN Package 'gawdis' (Multi-Trait Dissimilarity with more Uniform Contributions)
 R function gawdis() produces multi-trait dissimilarity with more uniform
 contributions of different traits. de Bello et al. (2021)
 <doi:10.1111/2041-210X.13537> presented the approach based on minimizing the
 differences in the correlation between the dissimilarity of each trait, or
 groups of traits, and the multi-trait dissimilarity. This is done using
 either an analytic or a numerical solution, both available in the function.

Package: r-cran-gazepath
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-jpeg, r-cran-zoo, r-cran-scales, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-gazepath_1.3-1.ca2004.1_all.deb
Size: 133160
MD5sum: a47678f8f9c237bc16d6ee85d474c8df
SHA1: d8772f76d525b42bb4d282fe6551b15738c28180
SHA256: 6569d32b0a8df8514ed53d113e25e6a9dc71cb12005a9c34130dab398a9a59b3
SHA512: 9e7f9fa6176314670abfd53c1ba6397b44dc76f8f431263a1ef3a1b7c48a89787fb40663da3c3ab2d16b77f9fb33b71773ffb65d4771cb3b44d286e38ea7ef9d
Homepage: https://cran.r-project.org/package=gazepath
Description: CRAN Package 'gazepath' (Parse Eye-Tracking Data into Fixations)
 Eye-tracking data must be transformed into fixations and saccades before it
 can be analyzed. This package provides a non-parametric speed-based approach
 to do this on a trial basis. The method is especially useful when there are
 large differences in data quality, as the thresholds are adjusted
 accordingly. The same pre-processing procedure can be applied to all
 participants, while accounting for individual differences in data quality.

Package: r-cran-gb2
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cubature, r-cran-hypergeo, r-cran-laeken, r-cran-numderiv, r-cran-survey
Suggests: r-cran-simframe
Filename: pool/dists/focal/main/r-cran-gb2_2.1.1-1.ca2004.1_all.deb
Size: 241092
MD5sum: 4e059b743bd068fc24f1fcc4d2f70f33
SHA1: e09f1f9ddd1b72a92c146bfab3b6169c44517ebc
SHA256: d6964a80ecf52214dc991f49de69c0f40de0c4eaf4d9bb1b7fc8390edd311891
SHA512: bf9999e391baa848886ddeb963bfd6545a04035fd0aa0fb0df5dfd593aad59826a869a829f7b14a04b5aadab04df1545380830482f1177fa4915d1f7d653dec8
Homepage: https://cran.r-project.org/package=GB2
Description: CRAN Package 'GB2' (Generalized Beta Distribution of the Second Kind: Properties,Likelihood, Estimation)
 Package GB2 explores the Generalized Beta distribution of the second kind.
 Density, cumulative distribution function, quantiles and moments of the
 distributions are given. Functions for the full log-likelihood, the profile
 log-likelihood and the scores are provided. Formulas for various indicators
 of inequality and poverty under the GB2 are implemented. The GB2 is fitted
 by the methods of maximum pseudo-likelihood estimation using the full and
 profile log-likelihood, and non-linear least squares estimation of the model
 parameters. Various plots for the visualization and analysis of the results
 are provided. Variance estimation of the parameters is provided for the
 method of maximum pseudo-likelihood estimation. A mixture distribution based
 on the compounding property of the GB2 is presented (denoted as "compound"
 in the documentation). This mixture distribution is based on the
 discretization of the distribution of the underlying random scale parameter.
 The discretization can be left or right tail. Density, cumulative
 distribution function, moments and quantiles for the mixture distribution
 are provided. The compound mixture distribution is fitted using the method
 of maximum pseudo-likelihood estimation. The fit can also incorporate the
 use of auxiliary information. In this new version of the package, the
 mixture case is complemented with new functions for variance estimation by
 linearization and comparative density plots.

Package: r-cran-gb2group
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gb2, r-cran-minpack.lm, r-cran-ineq, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-gb2group_0.3.0-1.ca2004.1_all.deb
Size: 183116
MD5sum: 49a38474d7244a9ac4aff2ce64bc27ba
SHA1: 93fca6e34c5be50d5a760a8d13c82610b477d1cc
SHA256: d3b071e424ee294b4130e73c6e5b3763697ad138b3b362d82466b0da6077ec2d
SHA512: ddbd8deca96fbd8bd3e941d3a8060f2507df1d36f320348325c370d7b8dbe5314d20d2f3d2d954e36cdc88b3ca80571ab7fd9c8316c1538e88ec26853d787047
Homepage: https://cran.r-project.org/package=GB2group
Description: CRAN Package 'GB2group' (Estimation of the Generalised Beta Distribution of the SecondKind from Grouped Data)
 Estimation of the generalized beta distribution of the second kind (GB2) and
 related models using grouped data in form of income shares.  The GB2 family
 is a general class of distributions that provides an accurate fit to income
 data. 'GB2group' includes functions to estimate the GB2, the Singh-Maddala,
 the Dagum, the Beta 2, the Lognormal and the Fisk distributions.  'GB2group'
 deploys two different econometric strategies to estimate these parametric
 distributions, the equally weighted minimum distance (EWMD) estimator and
 the optimally weighted minimum distance (OMD) estimator. Asymptotic standard
 errors are reported for the OMD estimates. Standard errors of the EWMD
 estimates are obtained by Monte Carlo simulation. See Jorda et al. (2018)
 <arXiv:1808.09831> for a detailed description of the estimation procedure.

Package: r-cran-gb5mcpred
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4599
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools, r-cran-tidyverse, r-cran-seqinr, r-bioc-biostrings, r-cran-splitstackshape, r-cran-entropy, r-cran-party, r-cran-stringr, r-cran-tibble, r-cran-doparallel, r-cran-e1071, r-cran-caret, r-cran-randomforest, r-cran-gbm, r-cran-foreach, r-cran-ftrcool, r-cran-iterators
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gb5mcpred_0.1.0-1.ca2004.1_all.deb
Size: 2457668
MD5sum: 6a8d36d7424c3ef9a5240c23b2861ec3
SHA1: 6a9c5e1bc6aeb85523c874b7c4a0b68ac0cc772c
SHA256: a92f091f07ed08865e79ecb18ff82ab685f2a111da0adde6900f23f103a3e9d5
SHA512: 33e8fe6ac4a5656659b33fc63d2812d7e508a385d3299462e9a251b0485fda6304d2b355b2d93c7309b701a9fc3c4d9930d73f1deeb4ac9dc640c9438de8b1ea
Homepage: https://cran.r-project.org/package=GB5mcPred
Description: CRAN Package 'GB5mcPred' (Gradient Boosting Algorithm for Predicting Methylation States)
 DNA methylation of 5-methylcytosine (5mC) is the result of a multi-step,
 enzyme-dependent process. Predicting these sites in-vitro is laborious, time
 consuming as well as costly. This ' Gb5mC-Pred ' package is an in-silico
 pipeline for predicting DNA sequences containing the 5mC sites. It uses a
 machine learning approach which uses Stochastic Gradient Boosting approach
 for prediction of the sequences with 5mC sites. This package has been
 developed by using the concept of Navarez and Roxas (2022)
 <doi:10.1109/TCBB.2021.3082184>.

Package: r-cran-gbfs
Architecture: all
Version: 1.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-stringr, r-cran-jsonlite, r-cran-lubridate, r-cran-httr, r-cran-purrr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gbfs_1.3.10-1.ca2004.1_all.deb
Size: 69968
MD5sum: 01727a4cc176d95822a126ddc3448957
SHA1: fca190ab3679af67928db51182fbbfd0d120087c
SHA256: 2d7c29aa7da8d52bec8ddd3edf9750b7d3a4242d68d8236135f4b5760f94801f
SHA512: 723a2e4415c8dc0faa37769162071fc7d23e28875a8c13703b778325d38cb6820e0bf5cc06df90cf377f651ae827590a7aecf7265208aabdac8182a9f69847d2
Homepage: https://cran.r-project.org/package=gbfs
Description: CRAN Package 'gbfs' (Interface with Live Bikeshare Data)
 Supplies a set of functions to interface with bikeshare data following the
 General Bikeshare Feed Specification, allowing users to query and accumulate
 tidy datasets for specified cities/bikeshare programs.

Package: r-cran-gbifdb
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-duckdbfs
Suggests: r-cran-spelling, r-cran-dbplyr, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-minioclient
Filename: pool/dists/focal/main/r-cran-gbifdb_1.0.0-1.ca2004.1_all.deb
Size: 288012
MD5sum: fb81667518e310ed7eef14d230a2a67e
SHA1: f882b8081a72cce51594ab91765cf3ae05a4bd03
SHA256: 9cfcca6f961f325e15e68b8b28b24486eca0f863a0432f878f85565509696ee8
SHA512: 2c1b471363845cb2480e6a525ac99a344179d0255437c1975e9426c61a3c77385911ad81066237e0938497ebd61c859df777f6f77e941cbdac49e1904781f98d
Homepage: https://cran.r-project.org/package=gbifdb
Description: CRAN Package 'gbifdb' (High Performance Interface to 'GBIF')
 A high performance interface to the Global Biodiversity Information
 Facility, 'GBIF'.  In contrast to 'rgbif', which can access small subsets of
 'GBIF' data through web-based queries to a central server, 'gbifdb' provides
 enhanced performance for R users performing large-scale analyses on servers
 and cloud computing providers, providing full support for arbitrary 'SQL' or
 'dplyr' operations on the complete 'GBIF' data tables (now over 1 billion
 records, and over a terabyte in size). 'gbifdb' accesses a copy of the
 'GBIF' data in 'parquet' format, which is already readily available in
 commercial computing clouds such as the Amazon Open Data portal and the
 Microsoft Planetary Computer, or can be accessed directly without
 downloading, or downloaded to any server with suitable bandwidth and storage
 space.  The high-performance techniques for local and remote access are
 described in <https://duckdb.org/why_duckdb> and
 <https://arrow.apache.org/docs/r/articles/fs.html> respectively.

Package: r-cran-gbm.auto
Architecture: all
Version: 2024.10.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3849
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beepr, r-cran-dismo, r-cran-dplyr, r-cran-gbm, r-cran-ggmap, r-cran-ggplot2, r-cran-ggspatial, r-cran-lifecycle, r-cran-lubridate, r-cran-mapplots, r-cran-metrics, r-cran-readr, r-cran-sf, r-cran-stars, r-cran-starsextra, r-cran-stringi, r-cran-tidyselect, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-gbm.auto_2024.10.01-1.ca2004.1_all.deb
Size: 3837116
MD5sum: ff1ba2d93dabb66b3eaa2ad710205929
SHA1: 58d03c914c1903691235fa1aab1722139533e735
SHA256: 80a6c429d6e3ea9e5542b258974238d761dc111fc983ef415052be37c43569b8
SHA512: 9f71ae35d9d8a1b3cfc0fb046086e17ef8ad68a6276c3033104b254b9973cedface1b5d568ae39f69674e9176b3545ea4bf876fe2e72e9225b735be50b02107c
Homepage: https://cran.r-project.org/package=gbm.auto
Description: CRAN Package 'gbm.auto' (Automated Boosted Regression Tree Modelling and Mapping Suite)
 Automates delta log-normal boosted regression tree abundance prediction.
 Loops through parameters provided (LR (learning rate), TC (tree complexity),
 BF (bag fraction)), chooses best, simplifies, & generates line, dot & bar
 plots, & outputs these & predictions & a report, makes predicted abundance
 maps, and Unrepresentativeness surfaces.  Package core built around 'gbm'
 (gradient boosting machine) functions in 'dismo' (Hijmans, Phillips,
 Leathwick & Jane Elith, 2020 & ongoing), itself built around 'gbm'
 (Greenwell, Boehmke, Cunningham & Metcalfe, 2020 & ongoing, originally by
 Ridgeway). Indebted to Elith/Leathwick/Hastie 2008 'Working Guide'
 <doi:10.1111/j.1365-2656.2008.01390.x>; workflow follows Appendix S3.  See
 <https://www.simondedman.com/> for published guides and papers using this
 package.

Package: r-cran-gbm2sas
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-gbm2sas_4.0-1.ca2004.1_all.deb
Size: 22328
MD5sum: ebe8400317b095b2ce4cda894b587c42
SHA1: 17b538aac172c434d60f21a80f551cb28589e106
SHA256: c5299ae85f74ef2fc58760e08ac764d37bc7e4ea8bbee7f7c79dbc18b416155a
SHA512: a884903d49c841d2dbcbbb1885b3db2f7ff340b32b809e34090084ba6ffb807847fa3a7101876c7a7fe98f0afc5bb341aae3252eee70474eeaa28656b071043b
Homepage: https://cran.r-project.org/package=gbm2sas
Description: CRAN Package 'gbm2sas' (Convert GBM Object Trees to SAS Code)
 Writes SAS code to get predicted values from every tree of a gbm.object.

Package: r-cran-gbmt
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-gbmt_0.1.4-1.ca2004.1_all.deb
Size: 172544
MD5sum: 254e76ed106fe2351ac0c169b0f1bb29
SHA1: f5f0b3394a21138752edf097167902b248e44626
SHA256: 6e4b0a4b3f7dcf071c06082fff2faa5252cb007d05997da2606b38354d66fed4
SHA512: 376788f7a05d8d8093b93c0c9a15d3f477d2ac8ccb6e3e3d6cf5e5718a3efdcc87650efa67ec3c6f9bd47a2d0927c07d5525c672421d9bd1e658e0fd846828f1
Homepage: https://cran.r-project.org/package=gbmt
Description: CRAN Package 'gbmt' (Group-Based Multivariate Trajectory Modeling)
 Estimation and analysis of group-based multivariate trajectory models
 (Nagin, 2018 <doi:10.1177/0962280216673085>; Magrini, 2022
 <doi:10.1007/s10182-022-00437-9>). The package implements an
 Expectation-Maximization (EM) algorithm allowing unbalanced panel and
 missing values, and provides several functionalities for prediction and
 graphical representation.

Package: r-cran-gbrd
Architecture: all
Version: 0.4.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gbrd_0.4.12-1.ca2004.1_all.deb
Size: 44496
MD5sum: e062c87c086c329959f7149043c3fcf5
SHA1: e658407e8f1bbc89fc990e8180bb2cd89cd279ef
SHA256: 28037cd25dab7ea727ad4fce273cb042f23ee2355f9be386388c50ac4b6b2ea9
SHA512: 68684ec273eb51e89ef182044610b9e06420890a2148833c62b75146071af3c541ab40efe34cc40cf7a42911da17bb761da209b41561bf75b7885192720dfef6
Homepage: https://cran.r-project.org/package=gbRd
Description: CRAN Package 'gbRd' (Utilities for Processing Rd Objects and Files)
 Provides utilities for processing Rd objects and files.  Extract argument
 descriptions and other parts of the help pages of functions.

Package: r-cran-gbs2ploidy
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-gbs2ploidy_1.0-1.ca2004.1_all.deb
Size: 1307672
MD5sum: 93cc5a2e3dc0730d8ed540adcdd39f2f
SHA1: 6b66c42eaecbda40f3383bf558a67baeea007ec1
SHA256: 2be8999f8bd71679b793571500e0a85b49bcbc614d1f741c5c2a2f6f522f243d
SHA512: 20d6a04e6f7b4e0fc568bfcaeb448375f1c3ea03e57286b0daa17392b9992c4cd7917ba5b57f640454291e5898d42ea2bc9c8996de3a7b47c86e6ee773676da5
Homepage: https://cran.r-project.org/package=gbs2ploidy
Description: CRAN Package 'gbs2ploidy' (Inference of Ploidy from (Genotyping-by-Sequencing) GBS Data)
 Functions for inference of ploidy from (Genotyping-by-sequencing) GBS data,
 including a function to infer allelic ratios and allelic proportions in a
 Bayesian framework.

Package: r-cran-gbts
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-gbm, r-cran-earth
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gbts_1.2.0-1.ca2004.1_all.deb
Size: 116348
MD5sum: d62140c18a1008c04ac5474056bf72cb
SHA1: 870a54b1c20de568d59c0d60b4588ad1bd38972f
SHA256: 87a46fce1d1217933e91bdb7aa6804d76740dc32821bf7e4e95cd811ce7680b0
SHA512: 155785f544297169a8e9a854b6f84b28b701aa8cb5585da381031c8f811b6325cb2e8eb0528052c9983da63a26cb9f939ab4e03228e7037724661ecf4c713140
Homepage: https://cran.r-project.org/package=gbts
Description: CRAN Package 'gbts' (Hyperparameter Search for Gradient Boosted Trees)
 An implementation of hyperparameter optimization for Gradient Boosted Trees
 on binary classification and regression problems. The current version
 provides two optimization methods: Bayesian optimization and random search.
 Instead of giving the single best model, the final output is an ensemble of
 Gradient Boosted Trees constructed via the method of ensemble selection.

Package: r-cran-gbutils
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-classgraph, r-bioc-graph, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-gbutils_0.5-1.ca2004.1_all.deb
Size: 250356
MD5sum: 98c380c9b0c930d4f93989da9789b5b0
SHA1: 65aa047413b8eb64a9b4626432c095db89f9f2b9
SHA256: 666982727a02a68e1329a1c26c261e766e47fa7716d4e237e31178f5595cfe44
SHA512: e81ddbc35f8c6fed3013620fdf8ff6f6309c7c3c0b9aabf5669d6199805578cceedcdd3df25eec1d1a521c40c44553a5ab14f160786c87cb1cb0f2b91e82f3ad
Homepage: https://cran.r-project.org/package=gbutils
Description: CRAN Package 'gbutils' (Utilities for Simulation, Plots, Quantile Functions andProgramming)
 Plot density and distribution functions with automatic selection of suitable
 regions. Numerically invert (compute quantiles) distribution functions.
 Simulate real and complex numbers from distributions of their magnitude and
 arguments. Optionally, the magnitudes and/or arguments may be fixed in
 almost arbitrary ways. Create polynomials from roots given in Cartesian or
 polar form. Small programming utilities: check if an object is identical to
 NA, count positional arguments in a call, set intersection of more than two
 sets, check if an argument is unnamed, compute the graph of S4 classes in
 packages.

Package: r-cran-gcai.bias
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gcai.bias_1.0-1.ca2004.1_all.deb
Size: 150400
MD5sum: f448b5dac3e5f413c819d6610836f61d
SHA1: e1a26c65be47b8ab3aa7432fe3faac7bfed8d5d8
SHA256: 7f44953e86cd4efd465ac1967b9e0bcd8edf3ee163170b2716e25adb5a224570
SHA512: a47ae514a1b6a6e029ed7f5fadda467dc8ff318d39fbd7c38f41fee3f0adef0d63263f510496b6681a58f8fa9d0d1b2e88ce09f76fe55601888ac46a515f374b
Homepage: https://cran.r-project.org/package=GCAI.bias
Description: CRAN Package 'GCAI.bias' (Guided Correction Approach for Inherited bias (GCAI.bias))
 Many inherited biases and effects exists in RNA-seq due to both biological
 and technical effects. We observed the biological variance of testing target
 transcripts can influence the yield of sequencing reads, which might
 indicate a resource competition existing in RNA-seq. We developed this
 package to capture the bias depending on local sequence and perform the
 correction of this type of bias by borrowing information from spike-in
 measurement.

Package: r-cran-gcalcium
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-catools, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gcalcium_1.0.0-1.ca2004.1_all.deb
Size: 93820
MD5sum: 59b17978af0aa45c8f895935ccfbc7d5
SHA1: 1b001a5526e34888516b3128b8fa8f931dff96df
SHA256: 98d88ee51048d598b0354c77adaa1d105f3cd935f3f74a83ebf132abe23bb14c
SHA512: 5195fd1e54ef1c6dd9c8ba2826d23a625b897331cec7237cdda62b697efea58ce0b705aad84303fe9265ff577e46bf9456ec4314d18044b5b78fa8ff40277c53
Homepage: https://cran.r-project.org/package=GCalcium
Description: CRAN Package 'GCalcium' (A Data Manipulation and Analysis Package for Calcium IndicatorData)
 Provides shortcuts in extracting useful data points and summarizing waveform
 data. It is optimized for speed to work efficiently with large data sets so
 you can get to the analysis phase more quickly. It also utilizes a
 user-friendly format for use by both beginners and seasoned R users.

Package: r-cran-gcalignr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-readr, r-cran-reshape2, r-cran-stringr, r-cran-pbapply, r-cran-tibble
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-gcalignr_1.0.7-1.ca2004.1_all.deb
Size: 1565548
MD5sum: 61d6a5a4e6fbac3bd585378301f60ddc
SHA1: eca1813591f5da4f9a9794140c760282e3accbc9
SHA256: 3002f09087511c9acc0430e684823c3ef02e7bc05896447dfc967261659a7556
SHA512: b1f006b68e28cbee0c1b5e5db81fe8b913c7de09a79f2d96f64ced21120f2518f07d50b392a44b48abceefd0d392569f91289aaccf8b99eb4d9b85e780860607
Homepage: https://cran.r-project.org/package=GCalignR
Description: CRAN Package 'GCalignR' (Simple Peak Alignment for Gas-Chromatography Data)
 Aligns peak based on peak retention times and matches homologous peaks
 across samples. The underlying alignment procedure comprises three
 sequential steps.  (1) Full alignment of samples by linear transformation of
 retention times to maximise similarity among homologous peaks (2) Partial
 alignment of peaks within a user-defined retention time window to cluster
 homologous peaks (3) Merging rows that are likely representing homologous
 substances (i.e. no sample shows peaks in both rows and the rows have
 similar retention time means). The algorithm is described in detail in
 Ottensmann et al., 2018 <doi:10.1371/journal.pone.0198311>.

Package: r-cran-gcbd
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-dbi, r-cran-rsqlite, r-cran-plyr, r-cran-reshape, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gcbd_0.2.7-1.ca2004.1_all.deb
Size: 239468
MD5sum: 6d8b70f1ca3d5994f2110f5df3503839
SHA1: 9df98901d8e134ef0c4ce37b7fcd19e6df9a5250
SHA256: 0d9393c337c43e0627b8f163b675c35ff9e0b10599dbe710adcc2df54549bed8
SHA512: b093be94832341d358170af769d9904856c888d154fae1b3948e8b13401f229063a339aae820a633379a19dd27dfb9e2d41a726c3af9e6cfb0f5b5f14d802577
Homepage: https://cran.r-project.org/package=gcbd
Description: CRAN Package 'gcbd' ('GPU'/CPU Benchmarking in Debian-Based Systems)
 'GPU'/CPU Benchmarking on Debian-package based systems This package
 benchmarks performance of a few standard linear algebra operations (such as
 a matrix product and QR, SVD and LU decompositions) across a number of
 different 'BLAS' libraries as well as a 'GPU' implementation.  To do so, it
 takes advantage of the ability to 'plug and play' different 'BLAS'
 implementations easily on a Debian and/or Ubuntu system.  The current
 version supports - 'Reference BLAS' ('refblas') which are un-accelerated as
 a baseline - Atlas which are tuned but typically configure single-threaded -
 Atlas39 which are tuned and configured for multi-threaded mode - 'Goto Blas'
 which are accelerated and multi-threaded - 'Intel MKL' which is a commercial
 accelerated and multithreaded version.  As for 'GPU' computing, we use the
 CRAN package - 'gputools' For 'Goto Blas', the 'gotoblas2-helper' script
 from the ISM in Tokyo can be used. For 'Intel MKL' we use the Revolution R
 packages from Ubuntu 9.10.

Package: r-cran-gccfactor
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1165
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-sandwich
Suggests: r-cran-plm
Filename: pool/dists/focal/main/r-cran-gccfactor_1.1.0-1.ca2004.1_all.deb
Size: 1127936
MD5sum: b46cf3a422f1625de08a5d7f1e02892f
SHA1: 26a3d7336651a06f5b1c6829d698209b1ca5298d
SHA256: 57311443ccfa66d730ebee5c76acc9e5ba636d66ab7c1072c01f41fdb814a594
SHA512: e45e2860b531bad781485b043dfdcf06644f22cf578508d392fb970630f52340c1c3f1c36023a3ad44366acc426fbbac0a32765505d29611c2423cdab536f4d9
Homepage: https://cran.r-project.org/package=GCCfactor
Description: CRAN Package 'GCCfactor' (GCC Estimation of the Multilevel Factor Model)
 Provides methods for model selection, estimation, inference, and simulation
 for the multilevel factor model, based on the principal component estimation
 and generalised canonical correlation approach. Details can be found in
 "Generalised Canonical Correlation Estimation of the Multilevel Factor
 Model." Lin and Shin (2025) <doi:10.2139/ssrn.4295429>.

Package: r-cran-gcd
Architecture: all
Version: 4.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1430
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster
Suggests: r-cran-paleofire
Filename: pool/dists/focal/main/r-cran-gcd_4.0.7-1.ca2004.1_all.deb
Size: 1417568
MD5sum: 57253d88b8597552a1b574956ac97b57
SHA1: a782fff83f212a65423ce7baf78f311b344f6741
SHA256: 4f324e23b36d1a71886f4b56a6a6759187ebd8a59fc8229a0e5c72e7ba0e6215
SHA512: 2559328a95c81b8353615c0e58de291b24915ea71d6ee514d1d411529821baad923fc0479b8b6198f01aafa84c0ace208b32fdae604e62d4caed19ef2493e102
Homepage: https://cran.r-project.org/package=GCD
Description: CRAN Package 'GCD' (Global Charcoal Database)
 Contains the Global Charcoal database data. Data include charcoal series
 (age, depth, charcoal quantity, associated units and methods) and
 information on sedimentary sites (localisation, depositional environment,
 biome, etc.) as well as publications informations. Since 4.0.0 the GCD
 mirrors the online SQL database at <http://paleofire.org>.

Package: r-cran-gcerisk
Architecture: all
Version: 19.05.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-cmprsk, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gcerisk_19.05.24-1.ca2004.1_all.deb
Size: 63264
MD5sum: 556a5857369c46d7f08ee6f95cfd1983
SHA1: df7d164fa8f7c4006a5f667453d53e1b7974ddfe
SHA256: 20c6dd2d2c1145e176f5892e2916f08735ab684f8fc2222c1a396ef76b2a57df
SHA512: 0de6ea6b23ab2a093ef1b74bff39d8f834aaae39884b2c8184f104f10cf0694824a6bf8a36a9a706a0b1f230950bb22fe164ea887af3032100629863074ec99b
Homepage: https://cran.r-project.org/package=gcerisk
Description: CRAN Package 'gcerisk' (Generalized Competing Event Model)
 Generalized competing event model based on Cox PH model and Fine-Gray model.
 This function is designed to develop optimized risk-stratification methods
 for competing risks data, such as described in: 1. Carmona R, Gulaya S,
 Murphy JD, Rose BS, Wu J, Noticewala S,McHale MT, Yashar CM, Vaida F, and
 Mell LK (2014) <DOI:10.1016/j.ijrobp.2014.03.047>.  2. Carmona R, Zakeri K,
 Green G, Hwang L, Gulaya S, Xu B, Verma R, Williamson CW, Triplett DP, Rose
 BS, Shen H, Vaida F, Murphy JD, and Mell LK (2016)
 <DOI:10.1200/JCO.2015.65.0739>.  3. Lunn, Mary, and Don McNeil (1995)
 <DOI:10.2307/2532940>.

Package: r-cran-gchartsmap
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-sf, r-cran-tigris
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gchartsmap_0.1.3-1.ca2004.1_all.deb
Size: 37880
MD5sum: 42a6527d7c8453323bbb309341d275f6
SHA1: 0110fed2ba83afd3edeca0212d9da1e5cd13b77b
SHA256: c75cf354b80089873d1221fa730fe1220d0f56e8fc89ef93c8b9491109d98d7d
SHA512: 4845289635021ec62ef550519b99526dc5e96ab7fd7e91f8f875372bd6ef315da5c1e08780f94905ec0640495cf54637f39ace993d05cdee9fdbcbd3b1a661ef
Homepage: https://cran.r-project.org/package=gchartsmap
Description: CRAN Package 'gchartsmap' (Access 'Google Charts' Map Data)
 Connects to the 'Google Charts' geographic data resources hosted at
 <https://www.gstatic.com/charts/geochart/10/mapfiles/US-500_METROS.js>,
 allowing the user to download contents to use as a reference for related
 services like 'Google Trends'.

Package: r-cran-gcite
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-rvest, r-cran-pbapply, r-cran-data.table, r-cran-wordcloud, r-cran-tm
Suggests: r-cran-covr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gcite_0.11.0-1.ca2004.1_all.deb
Size: 89040
MD5sum: 3e0c4d462fca4f144e9a41572f075500
SHA1: 1d614c90142098090a0bd0686e5ff4bcda2dd798
SHA256: 23d8da34604d8d0daa3c4fba089b985cb5fed1a509e58539c3b8ab7dd2da5c27
SHA512: 87ff9765c3a63eba083cdaf95c8397f1744d75f8ee703befca77ff61b47f39290f541560e53380498578f8d7f3bc5e837dcd23c37628e22309532359b5973be9
Homepage: https://cran.r-project.org/package=gcite
Description: CRAN Package 'gcite' (Google Citation Parser)
 Scrapes Google Citation pages and creates data frames of citations over
 time.

Package: r-cran-gclus
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gclus_1.3.3-1.ca2004.1_all.deb
Size: 406560
MD5sum: ea18977b587fbf06aa88ef35cd36a3a9
SHA1: 96e2f428c47601abf4c93850484e1f8eb60e10ba
SHA256: e082b451f90912034d6b8aac0138735273f0113883226564293fa91c42b89ac6
SHA512: 2174e1328aa8768aca80e485b1ca39daba7af4d0d9ab4cbfd2833b5f427270694bea7647ca4a9df9f348d254f3bfb190d858b7df7832e37e9e10c9804b5e6612
Homepage: https://cran.r-project.org/package=gclus
Description: CRAN Package 'gclus' (Clustering Graphics)
 Orders panels in scatterplot matrices and parallel coordinate displays by
 some merit index. Package contains various indices of merit, ordering
 functions, and enhanced versions of pairs and parcoord which color panels
 according to their merit level.

Package: r-cran-gconsensus
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-rjags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-gconsensus_0.3.2-1.ca2004.1_all.deb
Size: 165552
MD5sum: 461beead7dc4a586ff1c475676655778
SHA1: ac6c093f89bc80b7d211c12c45f5232eaaddb9c6
SHA256: 2aaae8381b3b88444377f2999f2fef6b0c1c9ae84842d3b993e096972c575749
SHA512: 6a0bcf509c41202b34bf7206d98c5f5609f41b069b6eb3a82de3f03d014f240ed567392ab8ff55289800013c608bdc534a33ee1c87bc96ce50777961cd06dc40
Homepage: https://cran.r-project.org/package=gconsensus
Description: CRAN Package 'gconsensus' (Consensus Value Constructor)
 An implementation of the International Bureau of Weights and Measures (BIPM)
 generalized consensus estimators used to assign the reference value in a key
 comparison exercise. This can also be applied to any interlaboratory study.
 Given a set of different sources, primary laboratories or measurement
 methods this package provides an evaluation of the variance components
 according to the selected statistical method for consensus building. It also
 implements the comparison among different consensus builders and evaluates
 the participating method or sources against the consensus reference value.
 Based on a diverse set of references, DerSimonian-Laird (1986)
 <doi:10.1016/0197-2456(86)90046-2>, for a complete list of references look
 at the reference section in the package documentation.

Package: r-cran-gcookbook
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3981
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gcookbook_2.0.1-1.ca2004.1_all.deb
Size: 4019236
MD5sum: ebfe5d1d0021ab3cefb712d9b704d346
SHA1: a1c10637726058c8fab5888b4e56d59a8cd5dacb
SHA256: 13093282d7ebf8d40f86bc85d0c0c2aa99a7657c62b90969e9245c783312d4fe
SHA512: 3685c7960108122236d1ed0abd009611c5e8aa7c5b9b532930da0fa4e6d9cc3ca7de6137002df487c76c49d4784870ca5c56e9d7e466341ff9410bd2edbf893a
Homepage: https://cran.r-project.org/package=gcookbook
Description: CRAN Package 'gcookbook' (Data for "R Graphics Cookbook")
 Data sets used in the book "R Graphics Cookbook" by Winston Chang, published
 by O'Reilly Media.

Package: r-cran-gcplyr
Architecture: all
Version: 1.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4631
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-caret, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-mgcv, r-cran-readxl, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-gcplyr_1.11.0-1.ca2004.1_all.deb
Size: 3913828
MD5sum: 5019a9ff3927f87ed14f80f3da22c74d
SHA1: e039d659f7c3b1b97c93bb76c390a28889476a6f
SHA256: dd9c0acbd3d29bb2dbc036c3e357cfd45735ef810f930c0d07677c7f52db8cf0
SHA512: 7d7ddaff3734cf21b8ccad3fea41653a0662817eba59c316873519d3e7d04d50df6c96e328bb567684bef0343088de1335f5a14b7b75be78fbe2b7bcd9a8d3be
Homepage: https://cran.r-project.org/package=gcplyr
Description: CRAN Package 'gcplyr' (Wrangle and Analyze Growth Curve Data)
 Easy wrangling and model-free analysis of microbial growth curve data, as
 commonly output by plate readers.  Tools for reshaping common plate reader
 outputs into 'tidy' formats and merging them with design information, making
 data easy to work with using 'gcplyr' and other packages. Also streamlines
 common growth curve processing steps, like smoothing and calculating
 derivatives, and facilitates model-free characterization and analysis of
 growth data.  See methods at <https://mikeblazanin.github.io/gcplyr/>.

Package: r-cran-gctensor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rtensor, r-cran-einsum
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gctensor_1.0.0-1.ca2004.1_all.deb
Size: 48820
MD5sum: 61ee47e9892ca56f8ba62613eb29e6c8
SHA1: b1aab24a323edf3eaeafdc9478492b8d9cbaaea6
SHA256: 2ae2aa7419ce3f21153c5efce5570994ee0ca40673688cad6af47abe77a8b368
SHA512: d6e93b35e5dd4ca9e3029382948a46a514aebe6bfbf56b73d65ed7140f9693ed134d35b2500bd8678a96a8a369c3bb1d0347e24893802d452dce3ef813280919
Homepage: https://cran.r-project.org/package=gcTensor
Description: CRAN Package 'gcTensor' (Generalized Coupled Tensor Factorization)
 Multiple matrices/tensors can be specified and decomposed simultaneously by
 Probabilistic Latent Tensor Factorisation (PLTF). See the reference section
 of GitHub README.md <https://github.com/rikenbit/gcTensor>, for details of
 the method.

Package: r-cran-gcxgclab
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3379
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ncdf4, r-cran-dplyr, r-cran-ggplot2, r-cran-ptw, r-cran-nilde, r-cran-zoo, r-cran-nls.multstart, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gcxgclab_1.0.1-1.ca2004.1_all.deb
Size: 2472676
MD5sum: 98bacf5dc00115ebeb0453077d0b427e
SHA1: 959f81ad7a2247dbda6303cd509bf7f1dcb4e137
SHA256: 249740c675c2963fccb729f2a0a07fa1e4270ac9af4e2894b4858c5dcf32bd27
SHA512: 6eae62c104778596e3f7d4775ae9eeff61fdc47d2500bdb15efc01b378ecd350eba6c6c8e47efaebbe508793a8d71d10909bfcb63d1820dc758923fbd1f46b23
Homepage: https://cran.r-project.org/package=gcxgclab
Description: CRAN Package 'gcxgclab' (GCxGC Preprocessing and Analysis)
 Provides complete detailed preprocessing of two-dimensional gas chromatogram
 (GCxGC) samples. Baseline correction, smoothing, peak detection, and peak
 alignment. Also provided are some analysis functions, such as finding
 extracted ion chromatograms, finding mass spectral data, targeted analysis,
 and nontargeted analysis with either the 'National Institute of Standards
 and Technology Mass Spectral Library' or with the mass data. There are also
 several visualization methods provided for each step of the preprocessing
 and analysis.

Package: r-cran-gd
Architecture: all
Version: 10.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3901
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bammtools
Suggests: r-cran-gdverse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gd_10.8-1.ca2004.1_all.deb
Size: 2690500
MD5sum: 6eeb5d2d668df5184539a5cbe1ccbe6c
SHA1: 7f6e788dc538c9a3952f2baed36e6e955b35d207
SHA256: c454efaba634c1cade143eb255e2da12a8d28abe13c54b5b91974575b4cd8b6a
SHA512: 02433b1858868941d7bc7f243da6c490617499dd24ca83f792f8da4cc2f1534c53d0c560e8ae16b8260729f4062d017d23ec4811a702e359fbc5cc31b530e6eb
Homepage: https://cran.r-project.org/package=GD
Description: CRAN Package 'GD' (Geographical Detectors for Assessing Spatial Factors)
 Geographical detectors for measuring spatial stratified heterogeneity, as
 described in Jinfeng Wang (2010) <doi:10.1080/13658810802443457> and Jinfeng
 Wang (2016) <doi:10.1016/j.ecolind.2016.02.052>. Includes the optimal
 discretization of continuous data, four primary functions of geographical
 detectors, comparison of size effects of spatial unit and the visualizations
 of results. To use the package and to refer the descriptions of the package,
 methods and case datasets, please cite Yongze Song (2020)
 <doi:10.1080/15481603.2020.1760434>. The model has been applied in factor
 exploration of road performance and multi-scale spatial segmentation for
 network data, as described in Yongze Song (2018) <doi:10.3390/rs10111696>
 and Yongze Song (2020) <doi:10.1109/TITS.2020.3001193>, respectively.

Package: r-cran-gdadata
Architecture: all
Version: 0.93-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gdadata_0.93-1.ca2004.1_all.deb
Size: 432000
MD5sum: e9d48011c1b67bab4d31921c5f3a958f
SHA1: e318fd10b78bf6137657d38e94d10106859c9279
SHA256: 36e5518a11b9b71d01e30c3842f97583ae94957ee6563297c61425f1dc98fe87
SHA512: 6742f518da26925dc26a763ec4000ba418bebc566671ad09ea830355c014a43339370289b784f4614162bcad0f48350f53899736bed1bee6b59b5b344ed0569b
Homepage: https://cran.r-project.org/package=GDAdata
Description: CRAN Package 'GDAdata' (Datasets for the Book Graphical Data Analysis with R)
 Datasets used in the book 'Graphical Data Analysis with R' (Antony Unwin,
 CRC Press 2015).

Package: r-cran-gdalutilities
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3131
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf
Suggests: r-cran-terra, r-cran-stars, r-cran-rcolorbrewer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdalutilities_1.2.5-1.ca2004.1_all.deb
Size: 863368
MD5sum: d6bbc6806c969bbde8b2c02bfc4e00fe
SHA1: 50dace9b06614a523a5297b50cfe9a59e348c33b
SHA256: 0708fb2ddd0d5772780e603030ddf76054062e5f28b3e5c6cd4c017207a013eb
SHA512: 5a2d7c7aafeecc03f1cc21562adb97ae885a1a39168798e895bc209740378bd37bda0665ed86186fedb6c912da66b94a3702240597dc722a9945caa1a9a963d0
Homepage: https://cran.r-project.org/package=gdalUtilities
Description: CRAN Package 'gdalUtilities' (Wrappers for 'GDAL' Utilities Executables)
 R's 'sf' package ships with self-contained 'GDAL' executables, including a
 bare bones interface to several 'GDAL'-related utility programs collectively
 known as the 'GDAL utilities'. For each of those utilities, this package
 provides an R wrapper whose formal arguments closely mirror those of the
 'GDAL' command line interface. The utilities operate on data stored in files
 and typically write their output to other files. Therefore, to process data
 stored in any of R's more common spatial formats (i.e. those supported by
 the 'sf' and 'terra' packages), first write them to disk, then process them
 with the package's wrapper functions before reading the outputted results
 back into R. GDAL function arguments introduced in GDAL version 3.5.2 or
 earlier are supported.

Package: r-cran-gdata
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 580
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-gdata_3.0.1-1.ca2004.1_all.deb
Size: 481752
MD5sum: dd653128b87330b64578b72cb5e540a9
SHA1: e3600179d04bc9c970e81949f4ef37372c570111
SHA256: af5e08d3b8342bfcae43007bdeeb291f6d6bd209a8ef13e552addcb5db54bc73
SHA512: 4b0921f53c81150997dad485e82cb4beef7278b0e7cb7d29b5aee2d5ebdc77e6ab5a536dd081a946b900d3ce1824ab3dd60ffd7ab982cba051e64de8539bb358
Homepage: https://cran.r-project.org/package=gdata
Description: CRAN Package 'gdata' (Various R Programming Tools for Data Manipulation)
 Various R programming tools for data manipulation, including medical unit
 conversions, combining objects, character vector operations, factor
 manipulation, obtaining information about R objects, generating fixed-width
 format files, extracting components of date & time objects, operations on
 columns of data frames, matrix operations, operations on vectors, operations
 on data frames, value of last evaluated expression, and a resample() wrapper
 for sample() that ensures consistent behavior for both scalar and vector
 arguments.

Package: r-cran-gdatools
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1079
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-descriptio, r-cran-factominer, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang
Suggests: r-cran-traminer, r-cran-sf, r-cran-shiny, r-cran-miniui, r-cran-esquisse, r-cran-rclipboard, r-cran-factoextra, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-gdatools_2.3-1.ca2004.1_all.deb
Size: 1018260
MD5sum: 8ca110954e5afd0ede11bb6046607d29
SHA1: 0238e9fedd10b7fac4e711138a0fe2cad4a48040
SHA256: 1cd13c90c4218f10bdce83bcd3794db262f200b5165c04a735b5d0ee4938fe8e
SHA512: 1f9c1c5d30e37a7f019a92be094715c67eba9f19b9ce9a7e5d0c2fa2d417fe84f45d154481704722eb265e443be16d1d31899615b070248533593dbd2954c25a
Homepage: https://cran.r-project.org/package=GDAtools
Description: CRAN Package 'GDAtools' (Geometric Data Analysis)
 Many tools for Geometric Data Analysis (Le Roux & Rouanet (2005)
 <doi:10.1007/1-4020-2236-0>), such as MCA variants (Specific Multiple
 Correspondence Analysis, Class Specific Analysis), many graphical and
 statistical aids to interpretation (structuring factors, concentration
 ellipses, inductive tests, bootstrap validation, etc.) and multiple-table
 analysis (Multiple Factor Analysis, between- and inter-class analysis,
 Principal Component Analysis and Correspondence Analysis with Instrumental
 Variables, etc.).

Package: r-cran-gde
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 764
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-leaflet, r-cran-shiny, r-cran-ggplot2, r-cran-rsqlite, r-cran-dplyr, r-cran-stringr, r-cran-dt, r-cran-xml, r-cran-data.table, r-cran-r.utils, r-cran-readr, r-cran-jsonlite, r-cran-progress, r-cran-httr, r-cran-shinywidgets, r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-gde_0.2.1-1.ca2004.1_all.deb
Size: 706752
MD5sum: 0e22921a35bda282dba49cc209cb7d49
SHA1: aa95a90204d7a228d2f9c3434ffc99c7ef7e15de
SHA256: beb7d5ae0e7bba22953de35c46eb485137ba081930e240acb18d01e67aa35d25
SHA512: 69aa3775fa153be0533063cdac85997ff322136e63ee436325cab723c3201c5b4f923583b42eacfd978c8954b90dddd20e8d9341c8ef17e6fa340cc05e0e927b
Homepage: https://cran.r-project.org/package=gde
Description: CRAN Package 'gde' (GBIF Dataset Explorer)
 Functions to explore datasets from the Global Biodiversity Information
 Facility (GBIF - <https://www.gbif.org/>) using a Shiny interface.

Package: r-cran-gdefrag
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-maptools, r-cran-rgeos, r-cran-rgdal, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-gdefrag_0.3-1.ca2004.1_all.deb
Size: 74424
MD5sum: b8afcdb89517ccc098e006bc52da5145
SHA1: 73a6d89698428beea802ec0d9487e5fc50ef32b8
SHA256: df987c8a495355d0bfd160cfcc614469ff6dd7155b92df1d43c762b0e193547e
SHA512: 81b225a30112af95d2266323a7e04aa95af08fba0bcb98a3f2e00df58f47574c52e1c4c0b6fc05610a526f598ca24be1db3b910335cd398d85cc89f0da7cdbc3
Homepage: https://cran.r-project.org/package=gDefrag
Description: CRAN Package 'gDefrag' (Graph-Based Landscape De-Fragmentation)
 Provides a set of tools to help the de-fragmentation process. It works by
 prioritizing the different sections of linear infrastructures (e.g. roads,
 power-lines) to increase the available amount of a given resource.

Package: r-cran-gdelttools
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-datetimeutils, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdelttools_1.7-1.ca2004.1_all.deb
Size: 51080
MD5sum: 41875a0b2a2df6bde4b0c147178e94e9
SHA1: 2641e063210915581efff6e933f73854500bee97
SHA256: 857552e2233d14942a14d14a4d5a7c37e11a034722561e15e29a7d963f0d5032
SHA512: 40e11b82c048f360a61ef72fb0724e3a3011592325db686a14cb7f34f8007a354a385959e02b4689e45e6424068e782f37195f1f754347b8ae2f96b4474ae8dc
Homepage: https://cran.r-project.org/package=GDELTtools
Description: CRAN Package 'GDELTtools' (Download, Slice, and Normalize GDELT V1 Event and Sentiment APIData)
 The GDELT V1 Event data set is over 41 GB now and growing 250 MB a month.
 The number of source articles has increased over time and unevenly across
 countries. This package makes it easy to download a subset of that data,
 then normalize that data to facilitate valid time series analysis.

Package: r-cran-gdi
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jpeg, r-cran-png
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdi_1.6.0-1.ca2004.1_all.deb
Size: 176968
MD5sum: 2f39f98d0cec89c99a351a77ca2f3090
SHA1: 27eac936ca2025a354432d75c816174112ccd675
SHA256: dc973ecea10ebdec47a3ce99d2fc1599fe74d2aab8b477b27c1d97f7bda80a87
SHA512: 29020ad8d07125af5e3fb134bcb92b2dd30e675964964514e811ddeae726fb42a7620bb9b4ebc70a2c1faef30eba4a76fee0cf5e143f82026a12fa923981c19c
Homepage: https://cran.r-project.org/package=gdi
Description: CRAN Package 'gdi' (Volumetric Analysis using Graphic Double Integration)
 Tools implementing an automated version of the graphic double integration
 technique (GDI) for volume implementation, and some other related utilities
 for paleontological image-analysis. GDI was first employed by Jerison (1973)
 <ISBN:9780323141086> and Hurlburt (1999)
 <doi:10.1080/02724634.1999.10011145> and is primarily used for volume or
 mass estimation of (extinct) animals. The package 'gdi' aims to make this
 technique as convenient and versatile as possible. The core functions of
 'gdi' provide utilities for automatically measuring diameters from digital
 silhouettes provided as image files and calculating volume via graphic
 double integration with simple elliptical, superelliptical (following Motani
 2001 <doi:10.1666/0094-8373(2001)027%3C0735:EBMFST%3E2.0.CO;2>) or complex
 cross-sectional models. Additionally, the package provides functions for
 estimating the center of mass position (COM), the moment of inertia (I) for
 3D shapes and the second moment of area (Ix, Iy, Iz) of 2D cross-sections,
 as well as for visualization of results.

Package: r-cran-gdiff
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1929
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magick, r-cran-pdftools
Suggests: r-cran-gridbezier, r-cran-grimport, r-cran-metapost, r-cran-ssh, r-cran-stevedore
Filename: pool/dists/focal/main/r-cran-gdiff_0.2-5-1.ca2004.1_all.deb
Size: 1925848
MD5sum: ac077586bc6cf672b8b521a9349cb4f7
SHA1: 489a3ce42ffc0adbf540215da3c2af7bdb719b48
SHA256: c02d075846af67d9a375e6184eea4fdc7196db012ac47576beb81f1427b148fe
SHA512: 2f07f77f76f8f5007b17e449f1e14bb4114ea71d90d3bd29372c69ebd33c6af2edf2d3392653ceb08c05c5ac4fe8924352828eb8cc5cb871876153f7a415f97a
Homepage: https://cran.r-project.org/package=gdiff
Description: CRAN Package 'gdiff' (Graphical Difference Testing)
 Functions for performing graphical difference testing.  Differences are
 generated between raster images.  Comparisons can be performed between
 different package versions and between different R versions.

Package: r-cran-gdilm.me
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-corpcor, r-cran-mvtnorm, r-cran-ngspatial, r-cran-numderiv, r-cran-psych
Filename: pool/dists/focal/main/r-cran-gdilm.me_1.2.1-1.ca2004.1_all.deb
Size: 566496
MD5sum: 3e5b729bd6c54c0cf1288b23b8c9d1fc
SHA1: 315f4c0e9ddea842f1d0f38352cc895ccb7f857b
SHA256: 5d9d8a5f9170f48a59d0fa83dd0bee2b7dab61061bae400c6de41532c5d76c68
SHA512: b1b39b16b4a7834bf0e0e128efa259790d2515b24237f37200c45aae285cb874a45c6bc006fb990647d88ad8b43ea5b3dbaf8c85aa317dfdcbb1e7e3ccf23d70
Homepage: https://cran.r-project.org/package=GDILM.ME
Description: CRAN Package 'GDILM.ME' (Spatial Modeling of Infectious Diseases with Co-Variate Error)
 Provides tools for simulating from spatial modeling of individual level of
 infectious disease transmission when co-variates measured with error, and
 carrying out infectious disease data analyses with the same models. The
 epidemic models considered are distance-based model within
 Susceptible-Infectious-Removed (SIR) compartmental frameworks.

Package: r-cran-gdilm.seirs
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-ngspatial
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdilm.seirs_0.0.3-1.ca2004.1_all.deb
Size: 133432
MD5sum: 88a75edf0563f73913fdc191c2725064
SHA1: 1effe8ac9b46f24505574ef02e269cd81b05c8c9
SHA256: 18beb747b1761bf44c26fff085b18cdf05961b3280ef07f76d10707f37b23e0c
SHA512: c5472b6cafc75dedf541ae5dfd6a68128724f28e08ac5154dcab81e5e2b5969f34bec40322b7363b6417a2208e227e0017e153fa93024ce3b879ed3494a750a0
Homepage: https://cran.r-project.org/package=GDILM.SEIRS
Description: CRAN Package 'GDILM.SEIRS' (Spatial Modeling of Infectious Disease with Reinfection)
 Geographically Dependent Individual Level Models (GDILMs) within the
 Susceptible-Exposed-Infectious-Recovered-Susceptible (SEIRS) framework are
 applied to model infectious disease transmission, incorporating reinfection
 dynamics. This package employs a likelihood based Monte Carlo Expectation
 Conditional Maximization (MCECM) algorithm for estimating model parameters.
 It also provides tools for GDILM fitting, parameter estimation, AIC
 calculation on real pandemic data, and simulation studies customized to
 user-defined model settings.

Package: r-cran-gdilm.sir
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3451
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-psych, r-cran-mass, r-cran-numderiv, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdilm.sir_1.2.1-1.ca2004.1_all.deb
Size: 840416
MD5sum: 5941c4d364be0f6d2475b27aa81cde8d
SHA1: c5f6f99cb8868f83054ef57ffdce2375c26757a1
SHA256: be3ec292c7999513e04fdc9fa29d08dde99a019aad23cb0a5d8d8f5c2681581a
SHA512: ead38a09417721925ac5237b3b1c74e641083a686263d178217309e31237354984778f021cf9952a739c4a292f16803481557fc11df22bc4d873407516d9642f
Homepage: https://cran.r-project.org/package=GDILM.SIR
Description: CRAN Package 'GDILM.SIR' (Inference for Infectious Disease Transmission in SIR Framework)
 Model and estimate the model parameters for the spatial model of
 individual-level infectious disease transmission in
 Susceptible-Infected-Recovered (SIR) framework.

Package: r-cran-gdim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-dplyr, r-cran-ggplot2, r-cran-irlba, r-cran-magrittr, r-cran-progress, r-cran-rlang, r-cran-tibble
Suggests: r-cran-epca, r-cran-fastrg, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdim_0.1.0-1.ca2004.1_all.deb
Size: 49924
MD5sum: 71320989cd7fec8f8d3bd8db5c77fcaa
SHA1: bf053970e14ee0f64164151d8980f75e0cb92115
SHA256: a35074489a74aff3189e5d664abb142d2df5e1248f8180f3bbaba393c735809e
SHA512: e9ca2bfef57c3b9f68fe3991c290dafb31a620d7cff44c0fcdb6e5485d5001f143e40af201548ace0bc8b5e73b20c9665eff2ebe630d1bb0dfb12ac5007336fc
Homepage: https://cran.r-project.org/package=gdim
Description: CRAN Package 'gdim' (Estimate Graph Dimension using Cross-Validated Eigenvalues)
 Cross-validated eigenvalues are estimated by splitting a graph into two
 parts, the training and the test graph.  The training graph is used to
 estimate eigenvectors, and the test graph is used to evaluate the
 correlation between the training eigenvectors and the eigenvectors of the
 test graph.  The correlations follow a simple central limit theorem that can
 be used to estimate graph dimension via hypothesis testing, see Chen et al.
 (2021) <arXiv:2108.03336> for details.

Package: r-cran-gdistance
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1937
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-igraph, r-cran-matrix, r-cran-sp, r-cran-terra
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdistance_1.6.4-1.ca2004.1_all.deb
Size: 1044644
MD5sum: bb90403065848235bccb61a0827bc8a7
SHA1: fc4f1a765042d292098c6f940dbe2299fb012c9b
SHA256: 7f4b127860a8482282f05ac3e593c546dcb5ae4e2c5a9521c8a4aee50c4b853e
SHA512: e75a2901411243908c864dd42f8ea2935333abef405cf1701634b1eefa2a103abf68c034ecde141e3b2c21f3516f44b6d12e7ed548eafa7de154ef51468cfb4e
Homepage: https://cran.r-project.org/package=gdistance
Description: CRAN Package 'gdistance' (Distances and Routes on Geographical Grids)
 Provides classes and functions to calculate various distance measures and
 routes in heterogeneous geographic spaces represented as grids. The package
 implements measures to model dispersal histories first presented by van
 Etten and Hijmans (2010) <doi:10.1371/journal.pone.0012060>. Least-cost
 distances as well as more complex distances based on (constrained) random
 walks can be calculated. The distances implemented in the package are used
 in geographical genetics, accessibility indicators, and may also have
 applications in other fields of geospatial analysis.

Package: r-cran-gdldata
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr2
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-gdldata_0.1-1.ca2004.1_all.deb
Size: 160136
MD5sum: 62a34215c79863a7ce708e3cf9980707
SHA1: 68c6d99662965942c4e1222e83453f85a72f5833
SHA256: 0cb5ed2bb5d13fbe2164a1f9a39e802214dd5ffe7c0139e81981c73aa37da2c9
SHA512: b85e6adfb6644faa22069573327518fbd28c6e0ef9047cb6f9f57b1bd17876f1e099a13513cc7a430310cc9e53d4129e573a1377dea335fb1ad55f074c889444
Homepage: https://cran.r-project.org/package=gdldata
Description: CRAN Package 'gdldata' ('Global Data Lab' R API)
 Retrieve datasets from the 'Global Data Lab' website
 <https://globaldatalab.org> directly into R data frames. Functions are
 provided to reference available options (indicators, levels, countries,
 regions) as well.

Package: r-cran-gdns
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringi, r-cran-magrittr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-gdns_0.5.0-1.ca2004.1_all.deb
Size: 70764
MD5sum: 35374bac7bd0eed8e53e364d02faada1
SHA1: dd6a201bd2b297c6c535a84a72b4d7e4b88fea3d
SHA256: e28f931994795839c0f447fe877125c2cbe4e0777afce6d591de16f7e62b81ce
SHA512: 7c085eb1ef4a389b5fbcc8da7fe1936d16201cf48bcebc61495e3e002b8e61a359a0124dd12806fce3b30f2a84719fac4a45b990610aacf9d2253c75dad0e9fe
Homepage: https://cran.r-project.org/package=gdns
Description: CRAN Package 'gdns' (Tools to Work with Google's 'DNS'-over-'HTTPS' ('DoH') API)
 To address the problem of insecurity of 'UDP'-based 'DNS' requests, Google
 Public 'DNS' offers 'DNS' resolution over an encrypted 'HTTPS' connection.
 'DNS'-over-'HTTPS' greatly enhances privacy and security between a client
 and a recursive resolver, and complements 'DNSSEC' to provide end-to-end
 authenticated DNS lookups. Functions that enable querying individual
 requests that bulk requests that return detailed responses and bulk requests
 are both provided. Support for reverse lookups is also provided. See
 <https://developers.google.com/speed/public-dns/docs/dns-over-https> for
 more information.

Package: r-cran-gdpuc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1308
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-covr, r-cran-knitr, r-cran-magclass, r-cran-purrr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-usethis, r-cran-wdi, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-gdpuc_1.0.4-1.ca2004.1_all.deb
Size: 1133172
MD5sum: c009a904de81ce2d52fa803cbdc2d0d9
SHA1: d9aafe2f11b53ca4deb90dde9e8965986692e109
SHA256: dad4cc68dcce6e54979542a9dd14f948844756a24a4a2214f45f37052cffc062
SHA512: e30137ae197128c6d5468c190763e6167600364b1c9593cfd2fa13db4c9516b8eddbcc6cbed6b611b50c0ef0bbe3ecbdd04eb79be10e1059914f6d393ff3f569
Homepage: https://cran.r-project.org/package=GDPuc
Description: CRAN Package 'GDPuc' (Easily Convert GDP Data)
 Convert GDP time series data from one unit to another. All common GDP units
 are included, i.e. current and constant local currency units, US$ via market
 exchange rates and international dollars via purchasing power parities.

Package: r-cran-gds
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gds_0.1.1-1.ca2004.1_all.deb
Size: 16024
MD5sum: a328d6b2c6753aa5ea12fccbc0364051
SHA1: efbd495d5ec8bd14f2bb2dbcdfddf394dcc36439
SHA256: 2b3ccbd88c058eba9b58c9f7051ecfd65d8f6fea0f9bc1a8dc025bf92eeee967
SHA512: d91bc39496d423a4536a1f91b7f521c94a2679263d7d6bdfb8bcbf6d2a225e8529b4d8863d8b405faee14fa770b35e9e76729c91439e71cdf76015888faca527
Homepage: https://cran.r-project.org/package=gds
Description: CRAN Package 'gds' (Descriptive Statistics of Grouped Data)
 Contains a function called gds() which accepts three input parameters like
 lower limits, upper limits and the frequencies of the corresponding classes.
 The gds() function calculate and return the values of mean ('gmean'), median
 ('gmedian'), mode ('gmode'), variance ('gvar'), standard deviation
 ('gstdev'), coefficient of variance ('gcv'), quartiles ('gq1', 'gq2',
 'gq3'), inter-quartile range ('gIQR'), skewness ('g1'), and kurtosis ('g2')
 which facilitate effective data analysis. For skewness and kurtosis
 calculations we use moments.

Package: r-cran-gdxdt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gdxdt_0.1.0-1.ca2004.1_all.deb
Size: 22716
MD5sum: fd344221e259543557c151fce680027c
SHA1: 4ba643f93eafa9a97c2550d9c0be7488bf6f63e3
SHA256: 64a1f55e2e3524835b150959ac172a0a2cf4ea6bf48ad1cb2f9261a77e674150
SHA512: 32a3084a0f8593ae75f9b1928a3b832f963c0e748aa9f1517edec3660dce0820bec4912da4d3eb8874b040a9870c0d40a02e89f0aa70346bc841dcfaa860a9a7
Homepage: https://cran.r-project.org/package=gdxdt
Description: CRAN Package 'gdxdt' (IO for GAMS GDX Files using 'data.table')
 Interfaces GAMS data (*.gdx) files with 'data.table's using the GAMS R
 package 'gdxrrw'. The 'gdxrrw' package is available on the GAMS wiki:
 <https://support.gams.com/doku.php?id=gdxrrw:interfacing_gams_and_r>.

Package: r-cran-ge
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 839
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cge, r-cran-data.tree, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-ge_0.5.0-1.ca2004.1_all.deb
Size: 744608
MD5sum: e3aa4a6eabff619c0a9c7475f3d4b82e
SHA1: 766458766994e8501412e7b108f8934bfd3f9b83
SHA256: 9cee75758d2dcea2f779a85a6c61f1e3fd771740a16291dd653561505d63ee5f
SHA512: b8cb93efbcfcc223c68053a1fc69ba98fb156ff6abf5d01d3c181718de51371ea487db298eb91465faa7f717244a3210c1e5a33591bdc600e3f5a13ce54f8472
Homepage: https://cran.r-project.org/package=GE
Description: CRAN Package 'GE' (General Equilibrium Modeling)
 Some tools for developing general equilibrium models and some general
 equilibrium models. These models can be used for teaching economic theory
 and are built by the methods of new structural economics (see LI Wu, 2019,
 ISBN: 9787521804225, General Equilibrium and Structural Dynamics:
 Perspectives of New Structural Economics. Beijing: Economic Science Press).
 The model form and mathematical methods can be traced back to J. von Neumann
 (1945, A Model of General Economic Equilibrium. The Review of Economic
 Studies, 13. pp. 1-9), J. G. Kemeny, O. Morgenstern and G. L. Thompson
 (1956, A Generalization of the von Neumann Model of an Expanding Economy,
 Econometrica, 24, pp. 115-135) et al. By the way, J. G. Kemeny is a
 co-inventor of the computer language BASIC.

Package: r-cran-geboes.score
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geboes.score_1.0.0-1.ca2004.1_all.deb
Size: 24532
MD5sum: 4448242fe4ca42d347913584c371f024
SHA1: 5b46d634135fe044218b689da529214b4f0f0a42
SHA256: a88bb4aa262db5fe1e763c38dc88443b85df2ee6b1711dac65795dadbb42d484
SHA512: 01266ce8d0afc4054108ffa90840348f9f64bd5a4964887ebcd90c7c8c697c96562eff171494a74fed6365c9232c1dad09de29abb8b3119b94ddfc86d49b40bf
Homepage: https://cran.r-project.org/package=geboes.score
Description: CRAN Package 'geboes.score' (Evaluate the Geboes Score for Histology in Ulcerative Colitis)
 Evaluate and validate the Geboes score for histological assessment of
 inflammation in ulcerative colitis.  The original Geboes score from Geboes,
 et al. (2000) <doi:10.1136/gut.47.3.404>, binary version from Li, et al.
 (2019) <doi:10.1093/ecco-jcc/jjz022>, and continuous version from Magro, et
 al. (2020) <doi:10.1093/ecco-jcc/jjz123> are all described and implemented.

Package: r-cran-gec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mistr
Filename: pool/dists/focal/main/r-cran-gec_0.1.0-1.ca2004.1_all.deb
Size: 91356
MD5sum: 6df9dec8ca624045e8dc0f4b1457e9bc
SHA1: 5d9470c0ced5ff02321b4b093315367781b4802d
SHA256: 811247cd6b559a034afb8a7eeb4ea1fc1b250fdb6502cb667d9f39ba9c14dd05
SHA512: ec046dbf6c99eb066b80edeb520edffe381bad579b92fcba4c21646a2d5a497f1a55b445503f5740216773ca9471c07e9a49eba4736740bab4e92f37c97049ee
Homepage: https://cran.r-project.org/package=GEC
Description: CRAN Package 'GEC' (Generalized Exponentiated Composite Distributions)
 Contains the framework of the estimation, sampling, and hypotheses testing
 for two special distributions (Exponentiated Exponential-Pareto and
 Exponentiated Inverse Gamma-Pareto) within the family of Generalized
 Exponentiated Composite distributions. The detailed explanation and the
 applications of these two distributions were introduced in Bowen Liu,
 Malwane M.A. Ananda (2022) <doi:10.1080/03610926.2022.2050399>, Bowen Liu,
 Malwane M.A. Ananda (2022) <doi:10.3390/math10111895>, and Bowen Liu,
 Malwane M.A. Ananda (2022) <doi:10.3390/app13010645>.

Package: r-cran-gecal
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nleqslv
Suggests: r-cran-sampling
Filename: pool/dists/focal/main/r-cran-gecal_0.1.5-1.ca2004.1_all.deb
Size: 176056
MD5sum: de07de8cff8e45ab541ab7df216a42ad
SHA1: f3b20eecf7d21d9422f454c9d62dbec1a12446bc
SHA256: 4a589d53c0a7aca77722cfc4faf21b7c46ff4ea0c41fbee1017f7c3dc5deee53
SHA512: d8b300df6df157f4233e2cf869c2256d2c3f58a0483107a334b7d55dd239d4e441f5fe91c44901412f99a31487cad37933b4b455b2921d781d72f673cb1fc607
Homepage: https://cran.r-project.org/package=GECal
Description: CRAN Package 'GECal' (Generalized Entropy Calibration)
 Generalized Entropy Calibration produces calibration weights using
 generalized entropy as the objective function for optimization.  This
 approach, as implemented in the 'GECal' package, is based on Kwon, Kim, and
 Qiu (2024) <doi:10.48550/arXiv.2404.01076>. Unlike traditional methods,
 'GECal' incorporates design weights into the constraints to maintain design
 consistency, rather than including them in the objective function itself.

Package: r-cran-gecko
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1945
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-sp, r-cran-geosphere, r-cran-red, r-cran-biomod2, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-gecko_1.0.1-1.ca2004.1_all.deb
Size: 993744
MD5sum: 1cfac3a9c4956959d5f36f7a11135829
SHA1: 55be3526188332f8ad317495574dce7d0da00c09
SHA256: a2dce73e8fe5ec5a56bf52e228004c13da44077a2a6ec2d3612ab39093d545c7
SHA512: 30be72833fdddd75606a7fcc3f24c736ae96ff784f30199a8d34179bb00703e107a85a420baef8c6659a2ecc03f1a190dd15a39b85db6446ac014e8ab88ec414
Homepage: https://cran.r-project.org/package=gecko
Description: CRAN Package 'gecko' (Geographical Ecology and Conservation Knowledge Online)
 Includes a collection of geographical analysis functions aimed primarily at
 ecology and conservation science studies, allowing processing of both point
 and raster data. Now integrates SPECTRE
 (<https://biodiversityresearch.org/spectre/>), a dataset of global
 geospatial threat data, developed by the authors.

Package: r-cran-geckor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-httr, r-cran-knitr, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-curl
Suggests: r-cran-covr, r-cran-markdown, r-cran-readr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geckor_0.2.0-1.ca2004.1_all.deb
Size: 256780
MD5sum: 99aaa31245232f206c2526c42096b18c
SHA1: cf771d94cb9992df818ce408b8eb741c33ef1a76
SHA256: cc9b69f7ed25cd8b9487eb125a666fdc2a8161d1a0e82cdcc6ddcd579b60b3d2
SHA512: 90d292f359d02a63b0a38fa03136d430a9b036640df1dabac643bb837ce17c13f7bf399b5226ae8f615a8b3821dbe9550bade3a36eb8511a2116314be09bacd6
Homepage: https://cran.r-project.org/package=geckor
Description: CRAN Package 'geckor' (R Client for the 'CoinGecko' API)
 Collect the current and historical cryptocurrency market data using the
 public 'CoinGecko' API (<https://www.coingecko.com/en/api>).

Package: r-cran-geeasy
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geepack, r-cran-ggplot2, r-cran-geem, r-cran-lme4, r-cran-matrix, r-cran-mess
Suggests: r-cran-testthat, r-cran-mumin
Filename: pool/dists/focal/main/r-cran-geeasy_0.1.2-1.ca2004.1_all.deb
Size: 125468
MD5sum: e2a55e4a5840ce97852f1f8ed5faf419
SHA1: eb48660c8149543e87e2973e4db7163bd01bd4ab
SHA256: 43d52b48e8e4ae1c3977f6ad3c83241169ac747318e48906295552c6b6f2c55a
SHA512: fb7b55d53b75291d319f28fa1c58b7f2fae46c08788527ea6a57774b02ec3615ebd50413100a32b924ca4979e3d34eee073719177539b954a2e03624fa6e168e
Homepage: https://cran.r-project.org/package=geeasy
Description: CRAN Package 'geeasy' (Solve Generalized Estimating Equations for Clustered Data)
 Estimation of generalized linear models with correlated/clustered
 observations by use of generalized estimating equations (GEE). See e.g.
 Halekoh and Højsgaard, (2005, <doi:10.18637/jss.v015.i02>), for details.
 Several types of clustering are supported, including exchangeable variance
 structures, AR1 structures, M-dependent, user-specified variance structures
 and more. The model fitting computations are performed using modified code
 from the 'geeM' package, while the interface and output objects have been
 written to resemble the 'geepack' package. The package also contains
 additional tools for working with and inspecting results from the 'geepack'
 package, e.g. a 'confint' method for 'geeglm' objects from 'geepack'.

Package: r-cran-geecrt
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-rootsolve, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geecrt_1.1.4-1.ca2004.1_all.deb
Size: 319856
MD5sum: 913d341fe1762ea5e02691ba81cdd3c0
SHA1: a63161352fe550860c7b2324ef01719d2816ab40
SHA256: 49a1926a033b7c2ffe0e0081c52e06a5bce05022664247c44adeea1a4b9b03e8
SHA512: 207f5dc7943cc83a62b1f6e526c56d9f2404a12460b46759f51d675d5b8675d62abe8a7e60007147bf388d943101dc4516e736a9c3e5fb1c2015613b8aab8084
Homepage: https://cran.r-project.org/package=geeCRT
Description: CRAN Package 'geeCRT' (Bias-Corrected GEE for Cluster Randomized Trials)
 Population-averaged models have been increasingly used in the design and
 analysis of cluster randomized trials (CRTs). To facilitate the applications
 of population-averaged models in CRTs, the package implements the
 generalized estimating equations (GEE) and matrix-adjusted estimating
 equations (MAEE) approaches to jointly estimate the marginal mean models
 correlation models both for general CRTs and stepped wedge CRTs. Despite the
 general GEE/MAEE approach, the package also implements a fast cluster-period
 GEE method by Li et al. (2022) <doi:10.1093/biostatistics/kxaa056>
 specifically for stepped wedge CRTs with large and variable cluster-period
 sizes and gives a simple and efficient estimating equations approach based
 on the cluster-period means to estimate the intervention effects as well as
 correlation parameters. In addition, the package also provides functions for
 generating correlated binary data with specific mean vector and correlation
 matrix based on the multivariate probit method in Emrich and Piedmonte
 (1991) <doi:10.1080/00031305.1991.10475828> or the conditional linear family
 method in Qaqish (2003) <doi:10.1093/biomet/90.2.455>.

Package: r-cran-geecure
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-matrix, r-cran-mass, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-geecure_1.0-6-1.ca2004.1_all.deb
Size: 165100
MD5sum: 7f3403a75e08499f032829435660a4c6
SHA1: 9d8b30aedea2aa8972fac925ba498d613e66295d
SHA256: 53ef19613a78aeb62015337dcaa958a13c8d1fe2ffde43e84f34c7662c900383
SHA512: 74fac206956da7b2fb7cd26994bfebcede723b5c00095834e3a0d000a35be039e856f5cdaca1c2debd95ceca028d574dfe4848366982a8a7434f68c8afa6413c
Homepage: https://cran.r-project.org/package=geecure
Description: CRAN Package 'geecure' (Marginal Proportional Hazards Mixture Cure Models withGeneralized Estimating Equations)
 Features the marginal parametric and semi-parametric proportional hazards
 mixture cure models for analyzing clustered survival data with a possible
 cure fraction. A reference is Yi Niu and Yingwei Peng (2014)
 <doi:10.1016/j.jmva.2013.09.003>.

Package: r-cran-geem
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-geepack, r-cran-testthat, r-cran-mumin
Filename: pool/dists/focal/main/r-cran-geem_0.10.1-1.ca2004.1_all.deb
Size: 81380
MD5sum: 808cf30bd9cfc7870194b5b1aabc0892
SHA1: cb1b0a564993216ab4d60a34603835edccb748a1
SHA256: a57b1bc47e3d3dd8ce1a85fa8e86c3565a56f4153569535b7438bcbe9d5d6566
SHA512: 0704c2c4fb00e9e3c64d5bddaaecf37aca1b0a693d50bea051b74bca30be046975d9c115297b368fbfdba0c95ee5a55af5a23d5c622afb5fcacc036f214dcb2b
Homepage: https://cran.r-project.org/package=geeM
Description: CRAN Package 'geeM' (Solve Generalized Estimating Equations)
 GEE estimation of the parameters in mean structures with possible
 correlation between the outcomes. User-specified mean link and variance
 functions are allowed, along with observation weighting. The 'M' in the name
 'geeM' is meant to emphasize the use of the Matrix package, which allows for
 an implementation based fully in R.

Package: r-cran-geemediate
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gee
Filename: pool/dists/focal/main/r-cran-geemediate_1.1.4-1.ca2004.1_all.deb
Size: 30012
MD5sum: 43f0e6b9e8dc7a44973d026d89baecda
SHA1: 4eceb5ca1336200249314b16e4b62d6ebcb6d66f
SHA256: f559749f2bdd073fba5c850258d1869f837cc50a97e8d3d1f996e7e04cded886
SHA512: 256b06ebbc801b563565a13ec5801d67e8fd53c22c19fb9c6fc46bfa7c04c649fada380e62a78979c9b8ae2fee075a0723470de626bfdf60ed303cdc831904a9
Homepage: https://cran.r-project.org/package=GEEmediate
Description: CRAN Package 'GEEmediate' (Mediation Analysis for Generalized Linear Models Using theDifference Method)
 Causal mediation analysis for a single exposure/treatment and a single
 mediator, both allowed to be either continuous or binary. The package
 implements the difference method and provides point and interval estimates
 as well as testing for the natural direct and indirect effects and the
 mediation proportion. Nevo, Xiao and Spiegelman (2017)
 <doi:10.1515/ijb-2017-0006>.

Package: r-cran-geesmv
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-gee, r-cran-matrixcalc, r-cran-mass
Filename: pool/dists/focal/main/r-cran-geesmv_1.3-1.ca2004.1_all.deb
Size: 137480
MD5sum: b34dfe8c0297f33ef353748b40a54821
SHA1: 663abcad010ee657c06c64420388ea68ced68f71
SHA256: f75ee5a43d88bf64f4364c6dcf44827afae9a82532231dec521bcd9454cd87fa
SHA512: f885ebd84980b63c8a403902c110c599263671f9db8b11e4c3d44da2ca38a264d8ec99ec455d24c348f0c725e8e86ec03c702af223f976aac6469e297271129f
Homepage: https://cran.r-project.org/package=geesmv
Description: CRAN Package 'geesmv' (Modified Variance Estimators for Generalized EstimatingEquations)
 Generalized estimating equations with the original sandwich variance
 estimator proposed by Liang and Zeger (1986), and eight types of more recent
 modified variance estimators for improving the finite small-sample
 performance.

Package: r-cran-geess
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geess_0.1.2-1.ca2004.1_all.deb
Size: 57964
MD5sum: 1c8fe55267d3079a37100d6bf86e0b3d
SHA1: 44e0f0472812147152e7715a2bfada17532378ad
SHA256: cfe42e7c6206eb7f8de55f6d926c7c960a091695254a631fc83639e9c52694b6
SHA512: ae5bcd1eecee530835ffaba3ca03541e07135c25f5df6e113113f052ba5f57f69db75ea9ebd982bd06cd8c931af229a641f0484e3f805fb2ecc697357d665a7f
Homepage: https://cran.r-project.org/package=geess
Description: CRAN Package 'geess' (Modified Generalized Estimating Equations for Small-Sample Data)
 Analyze small-sample clustered or longitudinal data using modified
 generalized estimating equations with bias-adjusted covariance estimator.
 The package provides any combination of three modified generalized
 estimating equations and 11 bias-adjusted covariance estimators.

Package: r-cran-geessbin
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geessbin_1.0.0-1.ca2004.1_all.deb
Size: 68288
MD5sum: 86c77ce79317c4adfe44f195f4263e12
SHA1: ad8dab863dff31ddb2039d92c36f11b9b0ef35a1
SHA256: eaa9f9e817c17121bd6d3e7ac055a69334a2736ebe7622f9fdae1a6e1b2bcdb4
SHA512: b64e063c45290efe920107c05f3fb568d8e831ec59cf3888aa98784b5cef58f743fde08b1aba7d4e8ace669a26c924f06c206aad293f7b0ebe3c0d61ad8bbafc
Homepage: https://cran.r-project.org/package=geessbin
Description: CRAN Package 'geessbin' (Modified Generalized Estimating Equations for Binary Outcome)
 Analyze small-sample clustered or longitudinal data with binary outcome
 using modified generalized estimating equations (GEE) with bias-adjusted
 covariance estimator. The package provides any combination of three GEE
 methods and 12 covariance estimators.

Package: r-cran-geex
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1263
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-rootsolve, r-cran-numderiv, r-cran-lme4
Suggests: r-cran-testthat, r-cran-knitr, r-cran-dplyr, r-cran-moments, r-cran-sandwich, r-cran-inferference, r-cran-xtable, r-cran-aer, r-cran-icsnp, r-cran-mass, r-cran-gee, r-cran-saws, r-cran-rmarkdown, r-cran-geepack, r-cran-covr, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-geex_1.1.1-1.ca2004.1_all.deb
Size: 833516
MD5sum: db420ee7e338b97c1fde93d9a5d627ce
SHA1: f24b6ca71c39f9255a4c56c4149accf28ff1eec9
SHA256: 3388ae1d49b1434c09a42a574f8d14bf7a47b955fe7da350fda0588f41710704
SHA512: 934c1062cde67839024954b7809f56f100ecdb0e9094b7502aac363f4519894e26a74681ccbe5a434b8b6af370965ca591f69fcbb658b8b2aad3e066100df841
Homepage: https://cran.r-project.org/package=geex
Description: CRAN Package 'geex' (An API for M-Estimation)
 Provides a general, flexible framework for estimating parameters and
 empirical sandwich variance estimator from a set of unbiased estimating
 equations (i.e., M-estimation in the vein of Stefanski & Boos (2002)
 <doi:10.1198/000313002753631330>). All examples from Stefanski & Boos (2002)
 are published in the corresponding Journal of Statistical Software paper
 "The Calculus of M-Estimation in R with geex" by Saul & Hudgens (2020)
 <doi:10.18637/jss.v092.i02>. Also provides an API to compute finite-sample
 variance corrections.

Package: r-cran-geinfo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-rvest, r-cran-dplyr, r-cran-pheatmap
Filename: pool/dists/focal/main/r-cran-geinfo_1.0-1.ca2004.1_all.deb
Size: 107944
MD5sum: 13693060c96515b4f1fb731afa163524
SHA1: 297e7397ed9226ec12d1c82c6a0732c486c5c424
SHA256: dcd6f9293bfb4b09e9ca5f88fff691fccc7166f6708f66fe7f737fbd6105a34e
SHA512: 4734801e120a8d24e2a4e2d168d2dde1cdc4360284ad57ba559bf76cba90aff360c8c82d08e5ad8efd1c3e2a936009f0c8cb1e8c3aceead65d1a96038b51acc4
Homepage: https://cran.r-project.org/package=GEInfo
Description: CRAN Package 'GEInfo' (Gene-Environment Interaction Analysis Incorporating PriorInformation)
 Realize three approaches for Gene-Environment interaction analysis. All of
 them adopt Sparse Group Minimax Concave Penalty to identify important G
 variables and G-E interactions, and simultaneously respect the hierarchy
 between main G and G-E interaction effects. All the three approaches are
 available for Linear, Logistic, and Poisson regression. Also realize to mine
 and construct prior information for G variables and G-E interactions.

Package: r-cran-geint
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm, r-cran-bindata, r-cran-nleqslv, r-cran-pracma, r-cran-speedglm, r-cran-rje, r-cran-geepack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geint_1.0-1.ca2004.1_all.deb
Size: 235528
MD5sum: 4144f4d259c5626d23241c32c8b3989c
SHA1: cae723d438b9783a94882fcf192992b5574aaddc
SHA256: d9008edebf477eedb17347468c8169b83ca2a3129b2658ce2da38385eed09c79
SHA512: 866d8560807c084884e9a31ae8578d1ea0a0f526a529bf2b650ceb9f40077938777925673a90046c4c1d9bd981fefe2ea45bba9458a5fc072776f07f186e6f33
Homepage: https://cran.r-project.org/package=GEint
Description: CRAN Package 'GEint' (Misspecified Models for Gene-Environment Interaction)
 The first major functionality is to compute the bias in misspecified linear
 gene-environment interaction models. The most generalized function for this
 objective is GE_bias().  However GE_bias() requires specification of many
 higher order moments of covariates in the model.  If users are unsure about
 how to calculate/estimate these higher order moments, it may be easier to
 use GE_bias_normal_squaredmis().  This function places many more assumptions
 on the covariates (most notably that they are all jointly generated from a
 multivariate normal distribution) and is thus able to automatically
 calculate many of the higher order moments automatically, necessitating only
 that the user specify some covariances.  There are also functions to solve
 for the bias through simulation and non-linear equation solvers, these can
 be used to check your work. Second major functionality is to implement the
 Bootstrap Inference with Correct Sandwich (BICS) testing procedure, which we
 have found to provide better finite-sample performance than other inference
 procedures for testing GxE interaction.  More details on these functions are
 available in Sun, Carroll, Christiani, and Lin (2018)
 <doi:10.1111/biom.12813>.

Package: r-cran-geinter
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3122
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-pcapp, r-cran-hmisc, r-cran-survival, r-cran-quantreg, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-geinter_0.3.2-1.ca2004.1_all.deb
Size: 3119864
MD5sum: e621c69bfe12d821539d807e79e24253
SHA1: eeb3e9fa28551f800308f4d67c502509033f59d3
SHA256: b3c35a3faaa782e8c9052b49ebbf0b2964b868a7242024d59aa817a01d8ceed2
SHA512: 2f425e9676f93850e350fa3890dd3eda54db42d0600cd952f5c714e1375791cd6cb609fadab5f3b075fdc7cb2353cb8cad09a1a2922ec92c7c3af36c0230fc94
Homepage: https://cran.r-project.org/package=GEInter
Description: CRAN Package 'GEInter' (Robust Gene-Environment Interaction Analysis)
 Description: For the risk, progression, and response to treatment of many
 complex diseases, it has been increasingly recognized that gene-environment
 interactions play important roles beyond the main genetic and environmental
 effects. In practical interaction analyses, outliers in response variables
 and covariates are not uncommon. In addition, missingness in environmental
 factors is routinely encountered in epidemiological studies. The developed
 package consists of five robust approaches to address the outliers problems,
 among which two approaches can also accommodate missingness in environmental
 factors. Both continuous and right censored responses are considered. The
 proposed approaches are based on penalization and sparse boosting techniques
 for identifying important interactions, which are realized using efficient
 algorithms. Beyond the gene-environment analysis, the developed package can
 also be adopted to conduct analysis on interactions between other types of
 low-dimensional and high-dimensional data. (Mengyun Wu et al (2017),
 <doi:10.1080/00949655.2018.1523411>; Mengyun Wu et al (2017),
 <doi:10.1002/gepi.22055>; Yaqing Xu et al (2018),
 <doi:10.1080/00949655.2018.1523411>; Yaqing Xu et al (2019),
 <doi:10.1016/j.ygeno.2018.07.006>; Mengyun Wu et al (2021),
 <doi:10.1093/bioinformatics/btab318>).

Package: r-cran-gellipsoid
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-gellipsoid_0.7.3-1.ca2004.1_all.deb
Size: 278064
MD5sum: 90be6a0e241f6df7c783cee82e310cea
SHA1: 5081bea790a73f7393b9a6f3fa84e8b35957df6b
SHA256: e2192aea840a983e110436d1e43729b619dad9e7485a4bf104a8042c695c11b9
SHA512: 834db39a449309b5bd7f528856bc9b7e5e4e182c14b5b3e6b9e14316c31205c8eb799aab5407805bcc96b055b2d0ec89ad6e245cdb6ab231d81776731b68f105
Homepage: https://cran.r-project.org/package=gellipsoid
Description: CRAN Package 'gellipsoid' (Generalized Ellipsoids)
 Represents generalized geometric ellipsoids with the "(U,D)" representation.
 It allows degenerate and/or unbounded ellipsoids, together with methods for
 linear and duality transformations, and for plotting.  Thus ellipsoids are
 naturally extended to include lines, hyperplanes, points, cylinders, etc.
 This permits exploration of a variety to statistical issues that can be
 visualized using ellipsoids as discussed by Friendly, Fox & Monette (2013),
 Elliptical Insights: Understanding Statistical Methods Through Elliptical
 Geometry <doi:10.1214/12-STS402>.

Package: r-cran-gemetrics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bglr
Filename: pool/dists/focal/main/r-cran-gemetrics_1.0.0-1.ca2004.1_all.deb
Size: 38384
MD5sum: 706b9fabb8d515fcc432656e7db385aa
SHA1: 77ca313569e78b8ba839564ce639d85e6323e6c0
SHA256: a2a79edd9923bbf407b99d4c2d1bbab3c43f0b10b54f593c2ad8bc825819fbe3
SHA512: d4b67e8078f75f4c3e6e5c4ffc82c49df6b6fa8a9e1eef07d4dc1456911f5dc94f1f149458c77e3d13e73fc249074113e54185772ccd983d836fc19d1e79e538
Homepage: https://cran.r-project.org/package=GEmetrics
Description: CRAN Package 'GEmetrics' (Best Linear Unbiased Prediction of Genotype-by-EnvironmentMetrics)
 Provides functions to calculate the best linear unbiased prediction of
 genotype-by-environment metrics: ecovalence, environmental variance, Finlay
 and Wilkinson regression and Lin and Binns superiority measure, based on a
 multi-environment genomic prediction model.

Package: r-cran-gemini.r
Architecture: all
Version: 0.15.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4377
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-cli, r-cran-httr2, r-cran-jsonlite, r-cran-knitr, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gemini.r_0.15.0-1.ca2004.1_all.deb
Size: 4371968
MD5sum: 144108d84e0f7dc6ef94a35eaac6f4a5
SHA1: c05683e611297b6827653a87daf3582049b588f7
SHA256: dc416631f34e78829aeaa7d7ed6b8826eadd2be5ee863cd8f912c0fe2a7987c4
SHA512: 34784846e718770002a7816fefde41df1c015c65ac3a25cfd5488702a683ca86dd90792702d18783f42ee3271ad4f340949008dec4f0cc0bc1c824465d347677
Homepage: https://cran.r-project.org/package=gemini.R
Description: CRAN Package 'gemini.R' (Interface for 'Google Gemini' API)
 Provides a comprehensive interface for Google Gemini API, enabling users to
 access and utilize Gemini Large Language Model (LLM) functionalities
 directly from R.  This package facilitates seamless integration with Google
 Gemini, allowing for advanced language processing, text generation, and
 other AI-driven capabilities within the R environment.  For more
 information, please visit <https://ai.google.dev/docs/gemini_api_overview>.

Package: r-cran-gemlog
Architecture: all
Version: 0.41-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Filename: pool/dists/focal/main/r-cran-gemlog_0.41-1.ca2004.1_all.deb
Size: 161232
MD5sum: 9b7e7fb20b02f34c4f85aea40632ff78
SHA1: 688c501b053bd5c59865f2017e54162d34b0bf6e
SHA256: 11adfa98c724eb7676f6a394c1da62cc7a5815cf2725c5462a3a511eaf7fca4a
SHA512: 97168733d5080913cc030c754a443c0ce3637fe2b0639e8db530548e4f56e27d0f54c981182b2e857ef6b0e877c5144a9cd3043f1bafdb06fc4920580c42bd4d
Homepage: https://cran.r-project.org/package=gemlog
Description: CRAN Package 'gemlog' (File Conversion for 'Gem Infrasound Logger')
 Reads data files from the 'Gem infrasound logger' for analysis and converts
 to segy format (which is convenient for reading with traditional seismic
 analysis software). The Gem infrasound logger is a low-cost, lightweight,
 low-power instrument for recording infrasound in field campaigns; email the
 maintainer for more information.

Package: r-cran-gemma2
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4466
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-gemma2_0.1.3-1.ca2004.1_all.deb
Size: 369656
MD5sum: bfd6642a0eb41ca2c5788ced761f40b8
SHA1: 6567bbd493a680819183c57b4c7dda96a879c1a7
SHA256: 609e049e4931b1dcbdfa73acc338e7b826d9f38555b2b801d00eeae55af9bd4f
SHA512: c2c09bdecf65b83b5212f29ed7ab6244129641608c85d5e78195bde47ad4e4bb2be84ee5442b05603c49b413991c6399177da04b03d213da1169c21234f10bb3
Homepage: https://cran.r-project.org/package=gemma2
Description: CRAN Package 'gemma2' (GEMMA Multivariate Linear Mixed Model)
 Fits a multivariate linear mixed effects model that uses a polygenic term,
 after Zhou & Stephens (2014) (<https://www.nature.com/articles/nmeth.2848>).
 Of particular interest is the estimation of variance components with
 restricted maximum likelihood (REML) methods. Genome-wide efficient
 mixed-model association (GEMMA), as implemented in the package 'gemma2',
 uses an expectation-maximization algorithm for variance components inference
 for use in quantitative trait locus studies.

Package: r-cran-gemr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3225
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-gridextra, r-cran-glmnet, r-cran-pls, r-cran-plsvarsel, r-cran-mixlm, r-cran-hdanova, r-cran-lme4, r-cran-pracma, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-gemr_1.2.1-1.ca2004.1_all.deb
Size: 3243600
MD5sum: eebe7b67d47f48fae26700c175dd1847
SHA1: 097255e253d6c1987df4c74f90985ea95bec9c0a
SHA256: 1eb3677552a4afd859eddf1be5437f601c4fde1f2225736762a6abf162998112
SHA512: 59ee2595e13c84570d51163220930fae2cc024af3251b91e073f1fa1e95a357711efe64c6211aa71da143afa620b73fbf345018dc0e18c4126284f4a49116df1
Homepage: https://cran.r-project.org/package=gemR
Description: CRAN Package 'gemR' (General Effect Modelling)
 Two-step modeling with separation of sources of variation through analysis
 of variance and subsequent multivariate modeling through a range of
 unsupervised and supervised statistical methods. Separation can focus on
 removal of interfering effects or isolation of effects of interest. EF
 Mosleth et al. (2021) <doi:10.1038/s41598-021-82388-w> and EF Mosleth et al.
 (2020) <doi:10.1016/B978-0-12-409547-2.14882-6>.

Package: r-cran-gems
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-msm, r-cran-plyr, r-cran-data.table
Suggests: r-cran-muhaz
Filename: pool/dists/focal/main/r-cran-gems_1.1.1-1.ca2004.1_all.deb
Size: 558728
MD5sum: b994537728e7dc96a72db10a9e355aa0
SHA1: b9541d154c7b2209e780bd45d70dd872f1abe72f
SHA256: a9b5168b40862f0cd5fb80356e3db779535fc4e463f3a64ecf93bcfe943849b0
SHA512: f2ae6fba1012b551e5761568e387aa80c9dbf8c5299e715f09147b57eacff3f2be6bd717d8a34d425f1d195a51bb1ba4d0a48d0656f0d00e04e07fab3448e26b
Homepage: https://cran.r-project.org/package=gems
Description: CRAN Package 'gems' (Generalized Multistate Simulation Model)
 Simulate and analyze multistate models with general hazard functions. gems
 provides functionality for the preparation of hazard functions and
 parameters, simulation from a general multistate model and predicting future
 events. The multistate model is not required to be a Markov model and may
 take the history of previous events into account. In the basic version, it
 allows to simulate from transition-specific hazard function, whose
 parameters are multivariable normally distributed.

Package: r-cran-gen2stage
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clinfun
Filename: pool/dists/focal/main/r-cran-gen2stage_1.0-1.ca2004.1_all.deb
Size: 30760
MD5sum: db4d56355348909ab7385f47269d5049
SHA1: 78d62eab04da71135ef773accce514b44464430d
SHA256: e1ec832f681149d9f298a73303250c27a801a368861b769ac0f3c93545ac5a38
SHA512: 2e76745c8232a435661007e14a0194e1ba02bc1bc5af664549cdeb3833894f8ae532b4e82662820fc5a06b9cd05586eb961f6a49635dd13176b4a9dc68c14580
Homepage: https://cran.r-project.org/package=gen2stage
Description: CRAN Package 'gen2stage' (Generalized Two-Stage Designs for Phase II Single-Arm Studies)
 One can find single-stage and two-stage designs for a phase II single-arm
 study with either efficacy or safety/toxicity endpoints as described in Kim
 and Wong (2019) <doi:10.29220/CSAM.2019.26.2.163>.

Package: r-cran-gen5helper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-minpack.lm, r-cran-plyr, r-cran-pracma, r-cran-tidyr, r-cran-naturalsort, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-gen5helper_1.0.1-1.ca2004.1_all.deb
Size: 95352
MD5sum: 35269f4adf674e929ae51a8785bd59ae
SHA1: 9f0fe1b78b47e42e4edd699280ff5c4c4345fe74
SHA256: 288b002e694a2a349d51dfc10ac1a5707c5a585f715116caf7c5815006681873
SHA512: c002401719350bee9eff5ce6264e1dda2dfbca8ddef469a6276589216f257b650ce3db903a08b14bb25b2e1104b54ff9eff30c46061a32dfea058e5bd49010f8
Homepage: https://cran.r-project.org/package=gen5helper
Description: CRAN Package 'gen5helper' (Processing 'Gen5' 2.06 Exported Data)
 A collection of functions for processing 'Gen5' 2.06 exported data.  'Gen5'
 is an essential data analysis software for BioTek plate readers
 <https://www.biotek.com/products/software-robotics-software/gen5-microplate-reader-and-imager-software/>.
 This package contains functions for data cleaning, modeling and plotting
 using exported data from 'Gen5' version 2.06. It exports technically correct
 data defined in (Edwin de Jonge and Mark van der Loo (2013)
 <https://cran.r-project.org/doc/contrib/de_Jonge+van_der_Loo-Introduction_to_data_cleaning_with_R.pdf>)
 for customized analysis. It contains Boltzmann fitting for general kinetic
 analysis.  See <https://www.github.com/yanxianUCSB/gen5helper> for more
 information, documentation and examples.

Package: r-cran-genai
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-base64enc, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-listenv, r-cran-magick, r-cran-ggplotify
Filename: pool/dists/focal/main/r-cran-genai_0.2.0-1.ca2004.1_all.deb
Size: 238072
MD5sum: 4e359f113d6058abaa402ddef03732b5
SHA1: 9eb9fea7e76f77f7f48477feda7e1c25cf266eb3
SHA256: 19ae8462b49bbabe1d4acd062180b18b9d190b1799685dab409e3245804c27c6
SHA512: e8b0bd73491464b7244f33bbe2e604d53b530fb3ff4794d378fc3981016d250b808b50848b1a7c858abd5c0d328b68297908111f519d3c32ea3a48debfba232c
Homepage: https://cran.r-project.org/package=GenAI
Description: CRAN Package 'GenAI' (Generative Artificial Intelligence)
 Utilizing Generative Artificial Intelligence models like 'GPT-4' and 'Gemini
 Pro' as coding and writing assistants for 'R' users. Through these models,
 'GenAI' offers a variety of functions, encompassing text generation, code
 optimization, natural language processing, chat, and image interpretation.
 The goal is to aid 'R' users in streamlining laborious coding and language
 processing tasks.

Package: r-cran-genalg
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-genalg_0.2.1-1.ca2004.1_all.deb
Size: 40884
MD5sum: 6d2551dde0f1d178d33687985aefb189
SHA1: 68aced19897848956451c64d1ba8d34599c2c3fc
SHA256: 0350bb5981fe9dee1f557dade05a508e4986615aa2e6d19b73b36591f8db89ed
SHA512: f1ac1f14640afc437a92e4b880f207ad7d0c696b11f71df82e8ad815381376d2b3c85a4a17747c9b9d2774f2f7ceb6d8405890fc72e4ed0ed2ac69456750d040
Homepage: https://cran.r-project.org/package=genalg
Description: CRAN Package 'genalg' (R Based Genetic Algorithm)
 R based genetic algorithm for binary and floating point chromosomes.

Package: r-cran-genalgo
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-oompabase, r-cran-classdiscovery
Suggests: r-bioc-biobase, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-genalgo_2.2.1-1.ca2004.1_all.deb
Size: 454032
MD5sum: 05c268e675de64586bf7aaa72a358ba2
SHA1: 18130119968ea44e32a794a27fa5399921731f78
SHA256: 1a1c775e7de471bc6f5a94bd14b3071b110a3974c50a2ef1c5f4cc1ef3dd7ea9
SHA512: 48416be99447d58a4a033abd5195ef28216fdee59d88838414bcb13e6875346ad8d184f5c4eacda008dfba3deee2cd2c516dda95fe061aaf5bd781bb3752bd33
Homepage: https://cran.r-project.org/package=GenAlgo
Description: CRAN Package 'GenAlgo' (Classes and Methods to Use Genetic Algorithms for FeatureSelection)
 Defines classes and methods that can be used to implement genetic algorithms
 for feature selection.  The idea is that we want to select a fixed number of
 features to combine into a linear classifier that can predict a binary
 outcome, and can use a genetic algorithm heuristically to select an optimal
 set of features.

Package: r-cran-genasis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kendall, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-genasis_1.0-1.ca2004.1_all.deb
Size: 265800
MD5sum: 0eecf049f044b59da8ea8f25fc0e3cdf
SHA1: d7adf12fb30ae4af11700b68f5245c4cff125cb6
SHA256: 4cd19504adda903ef1c2b44eb1dc830ea8adac2d41692204250cf70283699b15
SHA512: 8b0e04f28702a9d9d6d8a1c9f98bbae9b28818071876765137bdfd0e672790bf25de45f7fa91e4566bba5c892424dea807370aef0dfc86c26e6d1f59eac365fe
Homepage: https://cran.r-project.org/package=genasis
Description: CRAN Package 'genasis' (Global ENvironmental ASsessment Information System (GENASIS)computational tools)
 genasis package contains methods for air pollution assessment. Concerned on
 persistent organic pollutants, the package allows to compute trends of their
 concentrations, compare different datasets and estimate relations between
 values from active and passive air samplers.

Package: r-cran-genbarcode
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3416
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-ape, r-cran-ggnetwork, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-network, r-cran-phangorn, r-cran-stringdist, r-cran-visnetwork, r-cran-reshape2, r-bioc-s4vectors, r-cran-shiny, r-bioc-ggtree, r-cran-dplyr, r-cran-venndiagram, r-cran-futile.logger, r-cran-future, r-cran-future.apply, r-bioc-shortread, r-bioc-biostrings
Suggests: r-cran-biocmanager, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genbarcode_1.2.8-1.ca2004.1_all.deb
Size: 3196000
MD5sum: be42ea234a3676d9cad3f2959f6e4a9d
SHA1: 038722936b8edd7ef22b6af2b8ccc3eef18c7c03
SHA256: b58feb7d9ac7cccd922b55ad0d42d8a0bdeb77d0cb54259ac6e69a9ddaeb2f86
SHA512: 550dfa96f3a0ac229675e6de63809c2000630ac4dd9124d776609d4f5e7f1cd256d59fb6bbff18243093d72e40ad75e9af0bc5985e8ed67bd31ccff84f70cff7
Homepage: https://cran.r-project.org/package=genBaRcode
Description: CRAN Package 'genBaRcode' (Analysis and Visualization Tools for Genetic Barcode Data)
 Provides the necessary functions to identify and extract a selection of
 already available barcode constructs (Cornils, K. et al. (2014)
 <doi:10.1093/nar/gku081>) and freely choosable barcode designs from next
 generation sequence (NGS) data. Furthermore, it offers the possibility to
 account for sequence errors, the calculation of barcode similarities and
 provides a variety of visualisation tools (Thielecke, L. et al. (2017)
 <doi:10.1038/srep43249>).

Package: r-cran-genbinomapps
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-genbinomapps_1.2.1-1.ca2004.1_all.deb
Size: 43692
MD5sum: 9e402d896022ce7207da4558a4aa09f8
SHA1: fd80653f93afd38227ab5b073407122d7fa1341a
SHA256: b8e838346be753f1e22082d125b191932d762210d13a435e8ad6227195a9741d
SHA512: a58942ffa96ce9535c7948e7ee70ada459808a9616b8d8a82fdd07cbd27e2c9a65c95e2e03ca9665655b12d5efda9369fa5782d61d716a35632c33bf6bc88723
Homepage: https://cran.r-project.org/package=GenBinomApps
Description: CRAN Package 'GenBinomApps' (Clopper-Pearson Confidence Interval and Generalized BinomialDistribution)
 Density, distribution function, quantile function and random generation for
 the Generalized Binomial Distribution. Functions to compute the
 Clopper-Pearson Confidence Interval and the required sample size. Enhanced
 model for burn-in studies, where failures are tackled by countermeasures.

Package: r-cran-gencor
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gencor_1.0.2-1.ca2004.1_all.deb
Size: 21460
MD5sum: ab1cd3e822b2d0f329dd569e56dd2595
SHA1: 730336d6de1fa92f33c93093829d4b8605ed9601
SHA256: a576e593780d7d85a4758c05e07927d7ab850b23ed06b83ac4e4510ecdbc2c1e
SHA512: 27a43e16a674a3beea5a0d8cdc80311ca4e0512406f84fc468d61d92663b4aa614b76bab659f086b62af8e3f4cfd100335c5466d6d8565d988b8e1baa86bd731
Homepage: https://cran.r-project.org/package=gencor
Description: CRAN Package 'gencor' (Generate Customized Correlation Matrices)
 Provides a function that generates a customized correlation matrix based on
 limit values and proportions for intervals composed by its limits. It can
 also generate random matrices with low, medium, and high correlations, in
 which low, medium, and high thresholds are user-defined.

Package: r-cran-gencountr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gencountr_1.0.0-1.ca2004.1_all.deb
Size: 55060
MD5sum: a3f06ec260fe6c5c05951a4325d446ac
SHA1: 3c39f7d4b21a8ee66702e2fed393e2c29e91cb0e
SHA256: 6b202c2fa170d35b9d6af363bbd03f8948dc7dcedeb3b1fea6a224657679e0f8
SHA512: a2549c3a2ddce684ef0c2d13e0a1789688d838be8549edadd4c023131b585a7ce642515d4ddc78062c2248635d480da11c5a80febc91d5ae002b552fa62e943e
Homepage: https://cran.r-project.org/package=genCountR
Description: CRAN Package 'genCountR' (Interacting with Roberts and Utych's (2019) Gendered LanguageDictionary)
 Allows users to generate a gendered language score according to the gendered
 language dictionary in Roberts and Utych (2019)
 <doi:10.1177/1065912919874883>.

Package: r-cran-gencve
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 877
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-glmnet, r-cran-plus, r-cran-c50, r-cran-randomforest, r-cran-e1071, r-cran-rpart, r-cran-mass, r-cran-class, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-gencve_0.3-1.ca2004.1_all.deb
Size: 784408
MD5sum: 79949cbcc10b2e33e1e4145ac6c7a7b8
SHA1: 907412e34cb60045ca1c65aa31a76f209997089f
SHA256: 8c42af5b85959a2f24b49235ca331ee1253a590c2b91a11396756e6f17f8bd33
SHA512: a43b224d5cc6fac50dbb56fdbebf7c1656871c1bc9a8590a7147afaeddd46fd77f157cb54da68100b5220cb3e3e2c53ef2980010472bc07e642de6f0c00e7736
Homepage: https://cran.r-project.org/package=gencve
Description: CRAN Package 'gencve' (General Cross Validation Engine)
 Engines for cross-validation of many types of regression and class
 prediction models are provided. These engines include built-in support for
 'glmnet', 'lars', 'plus', 'MASS', 'rpart', 'C50' and 'randomforest'. It is
 easy for the user to add other regression or classification algorithms. The
 'parallel' package is used to improve speed. Several data generation
 algorithms for problems in regression and classification are provided.

Package: r-cran-gendata
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gendata_1.2.0-1.ca2004.1_all.deb
Size: 22528
MD5sum: 78229ed59c63647673e90c45b2e67ac5
SHA1: ea32e39464e39cba92c2b06312f050bd494bae81
SHA256: c41e21c7caffcd248f344e87ce4309a55c430822c7fb5f0cc83d7b30acd5ed19
SHA512: 0e14de478e775baf1d034167816c7bae253cc38fa38e0c0698010e34723c69b5df41df7f7e26abb5ccd915ab4edb874c845621c7634d5f9c54172893a3811af6
Homepage: https://cran.r-project.org/package=gendata
Description: CRAN Package 'gendata' (Generate and Modify Synthetic Datasets)
 Set of functions to create datasets using a correlation matrix.

Package: r-cran-gender
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gender_0.6.0-1.ca2004.1_all.deb
Size: 152352
MD5sum: 35903c3c60c0cc15edc6c2873074be61
SHA1: e59c6d5f2c9eca250547056039c074615e92a9df
SHA256: c0cad4354194186c8f0354754a109a37cb6783c3d36c1c660b55a6aedbd462d9
SHA512: 9799097f47f79c9f7a1cc24049c6d5c54ad83894d04f3fee03bc953e40b4bcb01fdfecd6597648d09beca7f9256bf13b25252aa249eb8e4269792a41223cc5e9
Homepage: https://cran.r-project.org/package=gender
Description: CRAN Package 'gender' (Predict Gender from Names Using Historical Data)
 Infers state-recorded gender categories from first names and dates of birth
 using historical datasets. By using these datasets instead of lists of male
 and female names, this package is able to more accurately infer the gender
 of a name, and it is able to report the probability that a name was male or
 female. GUIDELINES: This method must be used cautiously and responsibly.
 Please be sure to see the guidelines and warnings about usage in the
 'README' or the package documentation.  See Blevins and Mullen (2015)
 <http://www.digitalhumanities.org/dhq/vol/9/3/000223/000223.html>.

Package: r-cran-genderbr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-genderbr_1.1.2-1.ca2004.1_all.deb
Size: 678608
MD5sum: 65aeae6131d285070bf742e32653090b
SHA1: ffffe7e150aa00caef22e99c120d21a0dc5edc7c
SHA256: e957c00723b2143c8437e50cf86a618091cd82041eb6e798bbf5095757795373
SHA512: ac0642273ecb23bebb8f100456d99835e1a9525607f9900d52cd325d207206c1662ef67a411dff04cf8a419bd4eb4cf45b147c910b0cd2a035a39ec3fe3f5dfb
Homepage: https://cran.r-project.org/package=genderBR
Description: CRAN Package 'genderBR' (Predict Gender from Brazilian First Names)
 A method to predict and report gender from Brazilian first names using the
 Brazilian Institute of Geography and Statistics' Census data
 (<https://censo2010.ibge.gov.br/nomes/>).

Package: r-cran-genderinfer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-binom
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genderinfer_0.1.0-1.ca2004.1_all.deb
Size: 475040
MD5sum: 373fc7a360136205dad1dc60ef042a6a
SHA1: 9f2825d1318af6c1d10a929435881f06344ff7f2
SHA256: 10a3926a25b2054de0ce03b19f542a2d21b1350150f268bad3e8433eab2dc7ea
SHA512: b9bb4bda3ac9ea5ae9f21f18742b48e9d59b42105705686f8b9d0780d39c1e282a242d689fb35a76043a42a60a24d565598272106b39917d36928df9fca2f597
Homepage: https://cran.r-project.org/package=GenderInfer
Description: CRAN Package 'GenderInfer' (This is a Collection of Functions to Analyse Gender Differences)
 Implementation of functions, which combines binomial calculation and data
 visualisation, to analyse the differences in publishing authorship by gender
 described in Day et al. (2020) <doi:10.1039/C9SC04090K>.  It should only be
 used when self-reported gender is unavailable.

Package: r-cran-genderstat
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genderstat_0.1.5-1.ca2004.1_all.deb
Size: 64096
MD5sum: a054079adce3a49252143e17b7b863e1
SHA1: 155fd82528ec8a59b1904fd9781ac0e8d9fbf893
SHA256: 7de65d6a4d5e3db1ac02029e709e25d4f4676d37962d87270622ed6e98b3c884
SHA512: 24a386e407887a6b900a32f48d57b523adc4683f17fed1cfbac03e0f8adf8fb3ac0fdb65faac0883eae9ad616447be1146bae9a1c48b17d98349a4303c8d6c6c
Homepage: https://cran.r-project.org/package=genderstat
Description: CRAN Package 'genderstat' (Quantitative Analysis Tools for Gender Studies)
 Provides tools for quantitative analysis in gender studies, including
 functions to calculate various gender inequality metrics such as the Gender
 Pay Gap, Gender Inequality Index (GII), Gender Development Index (GDI), and
 Gender Empowerment Measure (GEM). Also includes extracted secondary example
 datasets for practice and learning purposes, which were obtained from the
 UNDP Human Development Reports Data Center and the World Bank Gender Data
 Portal by the author the dataset is available on
 <doi:10.34740/kaggle/dsv/6359326>. References: Miller, Kevin; Vagins,
 Deborah J. (2021) <https://eric.ed.gov/?id=ED596219>. Jacques Charmes &
 Saskia Wieringa (2003) <doi:10.1080/1464988032000125773>. Gaëlle Ferrant
 (2010) <https://shs.hal.science/halshs-00462463/>.

Package: r-cran-gendist
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gendist_2.0-1.ca2004.1_all.deb
Size: 84336
MD5sum: 5365d1f41b81c83fb4d325e19a4aff83
SHA1: a05c0a8215b92f85ad26b32b41d14d01cf572f48
SHA256: 8a294e1bc24e1dc1200a42acd00c94a6ffae49d7662c6003ca82ea4282759cee
SHA512: 4cebf8470063c99db457b99497c82b67999a17bf358f008022abea172cd5a1c08b4a4628b7d43901e04626a14fd1a7acfddfb280ddb7e72d0671c8841f33f3a1
Homepage: https://cran.r-project.org/package=gendist
Description: CRAN Package 'gendist' (Generated Probability Distribution Models)
 Computes the probability density function (pdf), cumulative distribution
 function (cdf), quantile function (qf) and generates random values (rg) for
 the following general models : mixture models, composite models, folded
 models, skewed symmetric models and arc tan models.

Package: r-cran-geneacore
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-changepoint, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-genearead, r-cran-geneaclassify
Filename: pool/dists/focal/main/r-cran-geneacore_1.0.1-1.ca2004.1_all.deb
Size: 1795920
MD5sum: c0d3031648bbefb014f81ea0bc370810
SHA1: 13ceba3774cb22a51d4b3613ea724d364e1dfdac
SHA256: fca0c7b0f24e09ffda8f52fab657fd7a29dee6f433f2cfb5ab66806308de7e20
SHA512: 502c478bf9358243d7fcfc1c579dc79980f0743168b0ce86e6c1fa904f51c3d5be17d5ec080af36d1358a7f935c564a925545fdcdf51f634010b24583ddd9f02
Homepage: https://cran.r-project.org/package=GENEAcore
Description: CRAN Package 'GENEAcore' (Pre-Processing of 'GENEActiv' Data)
 Analytics to read in and segment raw 'GENEActiv' accelerometer data into
 epochs and events.  For more details on the 'GENEActiv' device, see
 <https://activinsights.com/resources/geneactiv-support-1-2/>.

Package: r-cran-geneclusternet
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-g1dbn, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-geneclusternet_1.0.1-1.ca2004.1_all.deb
Size: 88680
MD5sum: 059118d51ecd09c062a9f61175541a0c
SHA1: 52fcece359df053d35fcf2571d528375c29c909b
SHA256: 0f3950be264b9afec7e92cd2272532170eccdfbf0312594fcd2128cbc92e6628
SHA512: 44c08aec0b8584b8837b83e8b110b70c08e4d29d33ced87238b88a6982fe7e62a05497ad8cbb031b6ba3de9fecb321b9f84013db440e44246f28bd965118b7ae
Homepage: https://cran.r-project.org/package=GeneClusterNet
Description: CRAN Package 'GeneClusterNet' (Gene Expression Clustering and Gene Network)
 Functions for clustering time-course gene expression and reconstructing of
 gene regulatory network based on Dynamic Bayesian Network.

Package: r-cran-genecycle
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-longitudinal, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-genecycle_1.1.6-1.ca2004.1_all.deb
Size: 188072
MD5sum: af6157161b9dbdbfb4c91621e995ca88
SHA1: c4ce1739eb8a4e6e82a6b55e46504f82fa68198b
SHA256: 3869e70d57beb0471219650b5690c7d7794d57a24a3ba7c776e59e785cd6d24c
SHA512: e73e993d6b5a10178098a343304e406b1c5ccb14751b37ec304e80653d7e82e0ce400d50336aefbb221f5ecab72dfdf7a691bbaf8f55dc758f7bcb65f087b7be
Homepage: https://cran.r-project.org/package=GeneCycle
Description: CRAN Package 'GeneCycle' (Identification of Periodically Expressed Genes)
 The GeneCycle package implements the approaches of Wichert et al. (2004)
 <doi:10.1093/bioinformatics/btg364>, Ahdesmaki et al. (2005)
 <doi:10.1186/1471-2105-6-117> and Ahdesmaki et al.  (2007)
 <DOI:10.1186/1471-2105-8-233> for detecting periodically expressed genes
 from gene expression time series data.

Package: r-cran-geneexpressionfromgeo
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-bioc-biobase, r-bioc-annotate, r-bioc-geoquery, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geneexpressionfromgeo_1.2-1.ca2004.1_all.deb
Size: 25400
MD5sum: e191caf921cef4693fc068137db2c49b
SHA1: d13694baa1831aa010736b53a19e46f1b63f6e80
SHA256: 04d389015f691766f936b4c02c02280a18d8f34a765f47ba7497eb1d20ee3e2d
SHA512: a34da6655542e31f7520daf32812aaafd1cb9af8eab05b5065fba2a7f84978d0fc22885243cbd226fed3d48c81d8a35d33593f995e023083a35f736290eb6a0e
Homepage: https://cran.r-project.org/package=geneExpressionFromGEO
Description: CRAN Package 'geneExpressionFromGEO' (Easily Downloads a Gene Expression Dataset from a GEO Code andRetrieves the Gene Symbols of Its Probesets)
 A function that reads in the GEO code of a gene expression dataset,
 retrieves its data from GEO, (optionally) retrieves the gene symbols of the
 dataset, and returns a simple dataframe table containing all the data.
 Platforms available: GPL11532, GPL23126, GPL6244, GPL8300, GPL80, GPL96,
 GPL570, GPL571, GPL20115, GPL1293, GPL6102, GPL6104, GPL6883, GPL6884,
 GPL13497, GPL14550, GPL17077, GPL6480. GEO: Gene Expression Omnibus. ID:
 identifier code. The GEO datasets are downloaded from the URL
 <https://ftp.ncbi.nlm.nih.gov/geo/series/>. More information can be found in
 the following manuscript: Davide Chicco, "geneExpressionFromGEO: an R
 package to facilitate data reading from Gene Expression Omnibus (GEO)".
 Microarray Data Analysis, Methods in Molecular Biology, volume 2401, chapter
 12, pages 187-194, Springer Protocols, 2021,
 <doi:10.1007/978-1-0716-1839-4_12>.

Package: r-cran-genef
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-genef_1.0.1-1.ca2004.1_all.deb
Size: 33820
MD5sum: 57c022f546c16ded352937e00aacc839
SHA1: b8a5884f9636880e2adcc69495d89c433648992e
SHA256: 9dc9925d6a6678563a61aef0bd287dcd01a68d839701edef9a3b61fe6a610a2b
SHA512: b8f0c0a4fc3990068ca0750a731c5f45172ed64a52b49830874872c8ba2b48b389a71c02f0d72313a36a182cb7a4f4f848154439a4d19ac74928e53eeabf67b8
Homepage: https://cran.r-project.org/package=GeneF
Description: CRAN Package 'GeneF' (Package for Generalized F-Statistics)
 Implementation of several generalized F-statistics. The current version
 includes a generalized F-statistic based on the flexible isotonic/monotonic
 regression or order restricted hypothesis testing. Based on: Y. Lai (2011)
 <doi:10.1371/journal.pone.0019754>.

Package: r-cran-genehapr
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1966
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ape, r-bioc-biostrings, r-cran-ggpubr, r-cran-genetics, r-bioc-genomicranges, r-cran-lolliplot, r-cran-maps, r-bioc-iranges, r-cran-pegas, r-cran-reshape2, r-cran-rlang, r-bioc-rtracklayer, r-cran-shiny, r-cran-shinyjs, r-cran-stringdist, r-cran-stringr, r-cran-tibble, r-cran-sf, r-cran-tidyr, r-cran-vcfr
Suggests: r-cran-mapdata, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genehapr_1.2.4-1.ca2004.1_all.deb
Size: 1309764
MD5sum: a69926cc5ed2786c996718514ea1bc98
SHA1: aec11360d977603046e7a963a18f0efb4a085190
SHA256: a56d3307d9595032e2ed006d14de5a55d5e19140e9cbe102850edec80d651515
SHA512: 5f39b191884bf5848ff63a3a7034b47d540e0596a4aee85dfa7e118b1842923515b6967499beac92475fa4364fbf7f838d84acf542f60bbc57dd748e71961abd
Homepage: https://cran.r-project.org/package=geneHapR
Description: CRAN Package 'geneHapR' (Gene Haplotype Statistics, Phenotype Association andVisualization)
 Import genome variants data and perform gene haplotype Statistics,
 visualization and phenotype association with 'R'.

Package: r-cran-genehummus
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rentrez, r-cran-stringr, r-cran-dplyr, r-cran-httr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genehummus_1.0.11-1.ca2004.1_all.deb
Size: 94168
MD5sum: b54c38fa23e68aa8a4dd5757467bb632
SHA1: 1919755eec6ac013e5115fb0b41b8bd943b9aa51
SHA256: f23658ce65a9eeabcf9054676dcd92c064b075f734d99d070f6f60b4a02bed9c
SHA512: 0366b68514ed472e8470d434b896372e60edf668d71720e18e515b238f5d8ec004bae25c04b0e173e29af846309766bad956944d2f764d4faf0d66514973be23
Homepage: https://cran.r-project.org/package=geneHummus
Description: CRAN Package 'geneHummus' (A Pipeline to Define Gene Families in Legumes and Beyond)
 A pipeline with high specificity and sensitivity in extracting proteins from
 the RefSeq database (National Center for Biotechnology Information). Manual
 identification of gene families is highly time-consuming and laborious,
 requiring an iterative process of manual and computational analysis to
 identify members of a given family. The pipelines implements an automatic
 approach for the identification of gene families based on the conserved
 domains that specifically define that family. See Die et al. (2018)
 <doi:10.1101/436659> for more information and examples.

Package: r-cran-genekitr
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2850
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-clusterprofiler, r-cran-dplyr, r-cran-europepmc, r-cran-fst, r-cran-geneset, r-cran-ggplot2, r-cran-ggraph, r-cran-ggvenn, r-cran-igraph, r-cran-magrittr, r-cran-openxlsx, r-cran-stringr, r-cran-stringi, r-cran-tidyr, r-cran-rlang
Suggests: r-bioc-annotationdbi, r-cran-cowplot, r-cran-complexupset, r-cran-forcats, r-bioc-fgsea, r-cran-futile.logger, r-cran-ggplotify, r-cran-ggsci, r-cran-ggrepel, r-cran-ggridges, r-cran-ggnewscale, r-cran-goplot, r-bioc-gosemsim, r-cran-labeling, r-cran-pheatmap, r-cran-tm, r-cran-treemap, r-cran-rcolorbrewer, r-cran-rcurl, r-cran-reshape2, r-cran-rio, r-bioc-rrvgo, r-cran-testthat, r-cran-wordcloud, r-cran-knitr, r-cran-rmarkdown, r-cran-xml, r-cran-xml2, r-cran-httr
Filename: pool/dists/focal/main/r-cran-genekitr_1.2.8-1.ca2004.1_all.deb
Size: 2834248
MD5sum: d10252e68cfe3edc964f45e974b53050
SHA1: 2b61522fe3af54ddae619186890c5191997f18ec
SHA256: 54adebf9e0a96a53718df477cacb3b3ccfb614b9a1a3f79e4295fc8c5d293127
SHA512: c6f939a60ec286db2c80ac266c4ab01dd93dc24987eee9f4ea56b17827ee5f62eccf9cecee92c8e71a83d9a77b6dbca2dff571370a2eecea12e149bab77c8817
Homepage: https://cran.r-project.org/package=genekitr
Description: CRAN Package 'genekitr' (Gene Analysis Toolkit)
 Provides features for searching, converting, analyzing, plotting, and
 exporting data effortlessly by inputting feature IDs. Enables easy retrieval
 of feature information, conversion of ID types, gene enrichment analysis,
 publication-level figures, group interaction plotting, and result export in
 one Excel file for seamless sharing and communication.

Package: r-cran-genelistpie
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-genelistpie_1.0-1.ca2004.1_all.deb
Size: 849064
MD5sum: 580cb9d6fe26c270bc93e23fc34dd952
SHA1: 9a8a51c2baa75bc1f27ceec06a14355a2de45391
SHA256: 5fa73fabb6506ffc4d118f394ba99727766e7a384bde11b50302db557d83cf1a
SHA512: 6a4ab0d71b50f16c3f10e5e162281c017e2fcb54af92657f223609c385052d620b26f2ab8c0e216736af83a90477c10cd0ab9783d4a9beb972c4ad299b1c2445
Homepage: https://cran.r-project.org/package=geneListPie
Description: CRAN Package 'geneListPie' (Profiling a gene list into GOslim or KEGG function pie)
 "geneListPie" package is for mapping a gene list to function categories
 defined in GOSlim or Kegg. The results can be plotted as a pie chart to
 provide a quick view of the genes distribution of the gene list among the
 function categories.  The gene list must contain a list of gene symbols. The
 package contains a set of pre-processed gene sets obtained from Gene
 Ontology and MSigDB including human, mouse, rat and yeast. To provide a high
 level concise view, only GO slim and kegg are provided. The gene sets are
 regulared updated. User can also use customized gene sets. User can use the
 R Pie() or Pie3D() function for plotting the pie chart. Users can also
 choose to output the gene function mapping results and use external software
 such as Excel(R) for ploting.

Package: r-cran-genemodel
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genemodel_1.1.0-1.ca2004.1_all.deb
Size: 119876
MD5sum: fdd0a67847ddae07a33d5ec7701a233d
SHA1: fd699a2aaf32af849fef69fca043059ef9af53df
SHA256: a0d0afddac5e7adf79dbea7c7436b05d42c75716c2f373fc0fc10731039aacb9
SHA512: ba18d12a364cefc883c2073c3b4a09e2ac17d94b2dd27a93d769d2d4f07a84db564df341b8f8fdcde1e445a5150bd0a895f5853ebf8263f9db4216c2246afe73
Homepage: https://cran.r-project.org/package=genemodel
Description: CRAN Package 'genemodel' (Gene Model Plotting in R)
 Using simple input, this package creates plots of gene models. Users can
 create plots of alternatively spliced gene variants and the positions of
 mutations and other gene features.

Package: r-cran-genenet
Architecture: all
Version: 1.2.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corpcor, r-cran-longitudinal, r-cran-fdrtool
Suggests: r-bioc-graph, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-genenet_1.2.17-1.ca2004.1_all.deb
Size: 264296
MD5sum: 909b03afe13a86903d4e3de80d85858c
SHA1: 811097f5e0dae1b19ac639795e5499540db3d93d
SHA256: bee3416e2866b7d962f16a83f5906fb3e3e700fdd812f165f3f76470e65346a3
SHA512: 191fb9283cc849f0c80b8de692c22b92eb4ad412ee6df7754ce4ee0d99f6db82afd93454006644c1e3b5bfbee0b130334336b7f0c87cbb0f6955fabf1c16f6b5
Homepage: https://cran.r-project.org/package=GeneNet
Description: CRAN Package 'GeneNet' (Modeling and Inferring Gene Networks)
 Analyzes gene expression (time series) data with focus on the inference of
 gene networks.  In particular, GeneNet implements the methods of Schaefer
 and Strimmer (2005a,b,c) and Opgen-Rhein and Strimmer (2006, 2007) for
 learning large-scale gene association networks (including assignment of
 putative directions).

Package: r-cran-genenmf
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcppml, r-cran-matrix, r-cran-seurat, r-cran-cluster, r-cran-lsa, r-cran-irlba, r-cran-pheatmap, r-cran-dendextend, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-fgsea, r-cran-msigdbr
Filename: pool/dists/focal/main/r-cran-genenmf_0.8.0-1.ca2004.1_all.deb
Size: 873476
MD5sum: 45feeba62aecf373928ff90e9580f921
SHA1: 98d3021dbdd039a883ee9bdb41c0185d5747c647
SHA256: 52fd8cabde3a0e30880c373454a3d0a6349cd568a7fa54ac2c90e860456111c6
SHA512: d6003eb6724827869fee6ed5501c32fb52d1111d575263ab93370b62428e3b452ff7e02752a5f964d9ec6cafefb92421678952adab31b197cf44e06672df12c2
Homepage: https://cran.r-project.org/package=GeneNMF
Description: CRAN Package 'GeneNMF' (Non-Negative Matrix Factorization for Single-Cell Omics)
 A collection of methods to extract gene programs from single-cell gene
 expression data using non-negative matrix factorization (NMF). 'GeneNMF'
 contains functions to directly interact with the 'Seurat' toolkit and derive
 interpretable gene program signatures.

Package: r-cran-genenr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-httr, r-cran-rvest, r-cran-xml2, r-cran-writexl, r-cran-vcfr, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-genenr_2.0.1-1.ca2004.1_all.deb
Size: 111400
MD5sum: 4580c686fd2ce5c98928f590ff20e1f2
SHA1: e474f03daeeeabec93c7cb9699a403722cafdc1c
SHA256: cd54ef537be8d19957aad8c93a9db84a9b8aae1f2e8176a2583780ef1ee347aa
SHA512: f73551f332cfe1f7473b39719cc940b30ab094e3df62173bec9b274527266ca41b8a544242513786964bc239039715b399d6af1c5a82ef023b2868ccda4f1b14
Homepage: https://cran.r-project.org/package=geneNR
Description: CRAN Package 'geneNR' (Automated Gene Identification for Post-GWAS and QTL Analysis)
 Facilitates the post-Genome Wide Association Studies (GWAS) and Quantitative
 Trait Loci (QTL) analysis of identifying candidate genes within user-defined
 search window, based on the identified Single Nucleotide Polymorphisms
 (SNPs) as given by Mazumder AK (2024) <doi:10.1038/s41598-024-66903-3>. It
 supports candidate gene analysis for wheat and rice. Just import your GWAS
 result as explained in the sample_data file and the function does all the
 manual search and retrieve candidate genes for you, while exporting the
 results into ready-to-use output.

Package: r-cran-generalcorr
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3026
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-np, r-cran-xtable, r-cran-meboot, r-cran-psych, r-cran-lattice
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-generalcorr_1.2.6-1.ca2004.1_all.deb
Size: 2647036
MD5sum: d2a5b67467754e57ff67b3313811c713
SHA1: 006356519d11185087781af2365d060297ccfba4
SHA256: 4c6339bd00d16b7fe31e9ec0b0d2080bfabe23f78a7d2144be1af3df8f8dfa09
SHA512: 464e236cfcdf2ad38982b9dcb9d06e62e8c504acafbbf81d1a565aecf7a5e00bd452a235ef024f68b041608b1c6f35b10b1f56bbdaef27679e30591d7504069f
Homepage: https://cran.r-project.org/package=generalCorr
Description: CRAN Package 'generalCorr' (Generalized Correlations, Causal Paths and Portfolio Selection)
 Function gmcmtx0() computes a more reliable (general) correlation matrix.
 Since causal paths from data are important for all sciences, the package
 provides many sophisticated functions. causeSummBlk() and causeSum2Blk()
 give easy-to-interpret causal paths.  Let Z denote control variables and
 compare two flipped kernel regressions: X=f(Y, Z)+e1 and Y=g(X, Z)+e2. Our
 criterion Cr1 says that if |e1*Y|>|e2*X| then variation in X is more
 "exogenous or independent" than in Y, and the causal path is X to Y.
 Criterion Cr2 requires |e2|<|e1|. These inequalities between many absolute
 values are quantified by four orders of stochastic dominance. Our third
 criterion Cr3, for the causal path X to Y, requires new generalized partial
 correlations to satisfy |r*(x|y,z)|< |r*(y|x,z)|.  The function parcorVec()
 reports generalized partials between the first variable and all others.  The
 package provides several R functions including get0outliers() for outlier
 detection, bigfp() for numerical integration by the trapezoidal rule,
 stochdom2() for stochastic dominance, pillar3D() for 3D charts, canonRho()
 for generalized canonical correlations, depMeas() measures nonlinear
 dependence, and causeSummary(mtx) reports summary of causal paths among
 matrix columns. Portfolio selection: decileVote(), momentVote(), dif4mtx(),
 exactSdMtx() can rank several stocks. Functions whose names begin with
 'boot' provide bootstrap statistical inference, including a new bootGcRsq()
 test for "Granger-causality" allowing nonlinear relations. A new tool for
 evaluation of out-of-sample portfolio performance is outOFsamp(). Panel data
 implementation is now included.  See eight vignettes of the package for
 theory, examples, and usage tips. See Vinod (2019)
 \doi{10.1080/03610918.2015.1122048}.

Package: r-cran-generalhoslem
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape, r-cran-mass
Suggests: r-cran-nnet, r-cran-mlogit, r-cran-ordinal
Filename: pool/dists/focal/main/r-cran-generalhoslem_1.3.4-1.ca2004.1_all.deb
Size: 53844
MD5sum: 69eda30a5b26d3205b2ceab03086fcc6
SHA1: 7aa8543208aa51038617cf3d3893b9be59436295
SHA256: 28a49d2fdc5b7874349d4e85cea8a1d16d73523bea8f142973848602a52a6dfe
SHA512: 3ac2fd94a57b6cd0c555ec00f56521682cbbcf93c7fae4c3e32ff144356a346ffbf65e3c32d4d6c4f7b1b9847245d54dc77d29eb6e66b69c2bf27fa992656d07
Homepage: https://cran.r-project.org/package=generalhoslem
Description: CRAN Package 'generalhoslem' (Goodness of Fit Tests for Logistic Regression Models)
 Functions to assess the goodness of fit of binary, multinomial and ordinal
 logistic models. Included are the Hosmer-Lemeshow tests (binary, multinomial
 and ordinal) and the Lipsitz and Pulkstenis-Robinson tests (ordinal).

Package: r-cran-generalisedcovariancemeasure
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cvst, r-cran-kernlab, r-cran-mgcv, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-generalisedcovariancemeasure_0.2.0-1.ca2004.1_all.deb
Size: 36172
MD5sum: 8bd81a9b6a08f6ebf2859e01da78859d
SHA1: 97d2eefe4e050e762bf4c239087cf9ab934800d6
SHA256: 6e00a869d5fb269ab2af3ebf658690e20f2b6c7fe6cfc13d37d4abafc7166764
SHA512: 5b650e82dc85896210967448375c88cb0b1f1073a0c5bbd73d860aaf1ccf24e14212a316f427d7fe899d34fc0909d105b368d3e325a69b42fa9cd23daf8da186
Homepage: https://cran.r-project.org/package=GeneralisedCovarianceMeasure
Description: CRAN Package 'GeneralisedCovarianceMeasure' (Test for Conditional Independence Based on the GeneralizedCovariance Measure (GCM))
 A statistical hypothesis test for conditional independence. It performs
 nonlinear regressions on the conditioning variable and then tests for a
 vanishing covariance between the resulting residuals. It can be applied to
 both univariate random variables and multivariate random vectors. Details of
 the method can be found in Rajen D. Shah and Jonas Peters: The Hardness of
 Conditional Independence Testing and the Generalised Covariance Measure,
 Annals of Statistics 48(3), 1514--1538, 2020.

Package: r-cran-generalizedhyperbolic
Architecture: all
Version: 0.8-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distributionutils, r-cran-mass
Suggests: r-cran-variancegamma, r-cran-actuar, r-cran-skewhyperbolic, r-cran-runit
Filename: pool/dists/focal/main/r-cran-generalizedhyperbolic_0.8-7-1.ca2004.1_all.deb
Size: 575404
MD5sum: 362a70193a148d17481a40cd3f2556ef
SHA1: 1555e8ee810c138f607434fd34be46895689a410
SHA256: 9b8efb5b71c1dc61bbaf8204779c6e0f1ef59457e4743c635cc0ee9f7a6c6367
SHA512: bc321f6195e334fb7c3f26f0b6f7338feff165ff60d8a62f8812723b52686fd85202730d95f6e9c96e12025004dda83aa923dcee5ff435a1101c8ec02506ce3e
Homepage: https://cran.r-project.org/package=GeneralizedHyperbolic
Description: CRAN Package 'GeneralizedHyperbolic' (The Generalized Hyperbolic Distribution)
 Functions for the hyperbolic and related distributions.  Density,
 distribution and quantile functions and random number generation are
 provided for the hyperbolic distribution, the generalized hyperbolic
 distribution, the generalized inverse Gaussian distribution and the
 skew-Laplace distribution. Additional functionality is provided for the
 hyperbolic distribution, normal inverse Gaussian distribution and
 generalized inverse Gaussian distribution, including fitting of these
 distributions to data. Linear models with hyperbolic errors may be fitted
 using hyperblmFit.

Package: r-cran-generaloaxaca
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-generaloaxaca_1.0-1.ca2004.1_all.deb
Size: 34648
MD5sum: 0d835af28de93e083a62cac93d3aa62f
SHA1: 8d957f469f4701c275435549efb0130ea6ddfae3
SHA256: a29b0708fe3dfd0f74127b2d4b5645e6444739d5780b7e4ada7ad822a3e6788b
SHA512: 7cb92fd7c51749c42fb911cf55e51ec488b2b2ae2d033552c5d8370ea81c285d0b911afceae15136a92be626324c72108b0ccf749741aa6440979351224a4f3d
Homepage: https://cran.r-project.org/package=GeneralOaxaca
Description: CRAN Package 'GeneralOaxaca' (Blinder-Oaxaca Decomposition for Generalized Linear Model)
 Perform the Blinder-Oaxaca decomposition for generalized linear model with
 bootstrapped standard errors. The twofold and threefold decomposition are
 given, even the generalized linear model output in each group.

Package: r-cran-generalrss
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emplik, r-cran-rootsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-generalrss_0.1.3-1.ca2004.1_all.deb
Size: 100216
MD5sum: d14f23fc2573a62f236ef26b5ccca3fa
SHA1: 47385661a132feb3ba8719371678194add6cca20
SHA256: 70eca9776940cc0eada1a63e0bdf32a972f1fdc500e93343921326f443df2094
SHA512: 7305dd73e139cc9c5952becf79748c273d86cbce553b9d504cf784bf1f65740f3d106c3594f762e0e6caa5b002835e95a0515330a8d4af13ec59f6f00cc522a7
Homepage: https://cran.r-project.org/package=generalRSS
Description: CRAN Package 'generalRSS' (Statistical Tools for Balanced and Unbalanced Ranked SetSampling)
 Ranked Set Sampling (RSS) is a stratified sampling method known for its
 efficiency compared to Simple Random Sampling (SRS). When sample allocation
 is equal across strata, it is referred to as balanced RSS (BRSS) whereas
 unequal allocation is called unbalanced RSS (URSS), which is particularly
 effective for asymmetric or skewed distributions. This package offers
 practical statistical tools and sampling methods for both BRSS and URSS,
 emphasizing flexible sampling designs and inference for population means,
 medians, proportions, and Area Under the Curve (AUC). It incorporates
 parametric and nonparametric tests, including empirical likelihood ratio
 (LR) methods. The package provides ranked set sampling methods from a given
 population, including sampling with imperfect ranking using auxiliary
 variables. Furthermore, it provides tools for efficient sample allocation in
 URSS, ensuring greater efficiency than SRS and BRSS. For more details, refer
 e.g. to Chen et al. (2003) <doi:10.1007/978-0-387-21664-5>, Ahn et al.
 (2022) <doi:10.1007/978-3-031-14525-4_3>, and Ahn et al. (2024)
 <doi:10.1111/insr.12589>.

Package: r-cran-generator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-generator_0.1.0-1.ca2004.1_all.deb
Size: 53472
MD5sum: cfc978f9248d4a9fa5c6d78b8d3fc80f
SHA1: 8c60742271174ec33711acb5bc80d4a31b81f40c
SHA256: aea5a1a1aacc0040769a251df02ba2605fb946674995e77b0a983c2affa1ddc0
SHA512: 04873fdc9cbb64a654d428d568a2345dc291f947a773e2e6e310b828d7cb635dd7470aeddba56ee632d71a559c5c014dcc89f44ea9619f45065ec693f833f1ff
Homepage: https://cran.r-project.org/package=generator
Description: CRAN Package 'generator' (Generate Data Containing Fake Personally IdentifiableInformation)
 Allows users to quickly and easily generate fake data containing Personally
 Identifiable Information (PII) through convenience functions.

Package: r-cran-genericml
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-mlr3, r-cran-mlr3learners, r-cran-sandwich, r-cran-lmtest, r-cran-splitstackshape, r-cran-abind
Suggests: r-cran-glmnet, r-cran-ranger, r-cran-rpart, r-cran-e1071, r-cran-xgboost, r-cran-kknn, r-cran-dicekriging, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genericml_0.2.2-1.ca2004.1_all.deb
Size: 264492
MD5sum: ad5caa24b870ee2da8e3481ad9680424
SHA1: f97bd65541999b62f7696815bd3cb2d2053095d6
SHA256: 274eea70e35bbc972781425720f8cdf3c02d0195d9243bf3d3523180ba3606ba
SHA512: 0e502336a94782f08a819ecf82845ebd8fe454abd9ba971f08aa5b59828e2e2b3c565e239d590743db327c13dee92f8e720143fc0a1c03842d54d52742d70acd
Homepage: https://cran.r-project.org/package=GenericML
Description: CRAN Package 'GenericML' (Generic Machine Learning Inference)
 Generic Machine Learning Inference on heterogeneous treatment effects in
 randomized experiments as proposed in Chernozhukov, Demirer, Duflo and
 Fernández-Val (2020) <arXiv:1712.04802>. This package's workhorse is the
 'mlr3' framework of Lang et al. (2019) <doi:10.21105/joss.01903>, which
 enables the specification of a wide variety of machine learners. The main
 functionality, GenericML(), runs Algorithm 1 in Chernozhukov, Demirer, Duflo
 and Fernández-Val (2020) <arXiv:1712.04802> for a suite of user-specified
 machine learners. All steps in the algorithm are customizable via setup
 functions. Methods for printing and plotting are available for objects
 returned by GenericML(). Parallel computing is supported.

Package: r-cran-generics
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-covr, r-cran-pkgload, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-generics_0.1.4-1.ca2004.1_all.deb
Size: 79196
MD5sum: 45a23c20beb81eb85f27e774195b8ec7
SHA1: 47025b880358929d2127e5dafd53cb65307dc3d4
SHA256: eaa0e9e10796a9afab81360968dfceb33c8816b3447b1c93cdfb94a44f3fd0e0
SHA512: eefb19405697e52e2aeda4e3094c1436174faa6f1a06b114f29b950fe1c1764c6b4c65b97040e5aa1964f02b00462217fc1769d8499a59a9798b548023f04be7
Homepage: https://cran.r-project.org/package=generics
Description: CRAN Package 'generics' (Common S3 Generics not Provided by Base R Methods Related toModel Fitting)
 In order to reduce potential package dependencies and conflicts, generics
 provides a number of commonly used S3 generics.

Package: r-cran-genero
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genero_0.1.0-1.ca2004.1_all.deb
Size: 256084
MD5sum: a3986cc785ee20e1425e999141d5fa21
SHA1: 73db74df2f037894c24453cf749f64f84de3df08
SHA256: 58957f830301dd6ba3075b8668713ca2297ef2e21fa56b961ce00d3a476c38f7
SHA512: 5bd3da2b1ee16afae3d9fb17a60040bb60e2a582e0425d5aae18321ee3c207e01b3e83a8e522db21fb781ec05b06ba0c4e50f1fdbd3e96b6981fef5448171825
Homepage: https://cran.r-project.org/package=genero
Description: CRAN Package 'genero' (Estimate Gender from Names in Spanish and Portuguese)
 Estimate gender from names in Spanish and Portuguese.  Works with vectors
 and dataframes. The estimation works not only for first names but also full
 names. The package relies on a compilation of common names with it's most
 frequent associated gender in both languages which are used as look up
 tables for gender inference.

Package: r-cran-genescape
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-genescape_1.0-1.ca2004.1_all.deb
Size: 31896
MD5sum: 6dc93721335308f2bb0a49448a746dd9
SHA1: 8640309a8e50044a85239f5467712fddcc68161b
SHA256: bec59ad541d636762a4cd73a745ac531bfc32a4f94141b49d04bb6a63bf9536d
SHA512: 3bbf106245acdca2cc8bc4855209330be49e46b6a6ad042833c4599802c3e776b5df0c54630a63611835b89ed38de7dfeb9e7c0610f4e53d02e6155f4705cedc
Homepage: https://cran.r-project.org/package=GeneScape
Description: CRAN Package 'GeneScape' (Simulation of Single Cell RNA-Seq Data with Complex Structure)
 Simulating single cell RNA-seq data with complicated structure. This package
 is developed based on the Splat method (Zappia, Phipson and Oshlack (2017)
 <doi:10.1186/s13059-017-1305-0>). 'GeneScape' incorporates additional
 features to simulate single cell RNA-seq data with complicated differential
 expression and correlation structures, such as sub-cell-types, correlated
 genes (pathway genes) and hub genes.

Package: r-cran-genescorer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-genescorer_0.1.1-1.ca2004.1_all.deb
Size: 13272
MD5sum: cd71789f7b3ef9ff26b89a20640d5d66
SHA1: 9c00cf6c88328dfa559e325a2edcb8a016614bdc
SHA256: dc00f97ee9a6923223331443b015f7db8ca6d38600c5d6349ebd86478283973c
SHA512: 0dada2554df934718191a9ad3a5f4d82e62ef425dd56d4a96395c5df9488c39a0e77dceb8365d2e4d4091be91ae34efaceaf4309c52f5cb80ef971a6efb46576
Homepage: https://cran.r-project.org/package=GeneScoreR
Description: CRAN Package 'GeneScoreR' (Gene Scoring from Count Tables)
 Provides two methods for automatic calculation of gene scores from gene
 count tables: the z-score method, which requires a table of samples being
 scored and a count table with control samples, and the geometric mean
 method, which does not rely on control samples. The mathematical methods
 implemented are described by Kim et al. (2018) <doi:10.1089/jir.2017.0127>.

Package: r-cran-geneselectr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-reticulate, r-cran-rlang, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tmod
Suggests: r-bioc-clusterprofiler, r-bioc-go.db, r-cran-knitr, r-cran-rmarkdown, r-cran-biocmanager, r-cran-upsetr, r-bioc-annotationhub, r-bioc-ensembldb, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-geneselectr_1.0.1-1.ca2004.1_all.deb
Size: 459316
MD5sum: fea2d5fb87f34e94bf3bcd2b8fbf09a2
SHA1: 469bd69e1ab23c4a6273e6dc662c6d6b10c07e82
SHA256: 83e753260de65f45d2a3c472359d08a860ca3459ae2211a11a5a2e65795d2594
SHA512: 9959b7eb9fcc35dcf330f70cdde55f9af2eebcf8a1ea9927c0066e4514be4b8d03eb10e152d4b800e0224e8197414fc2b5c7459e82a739be8fb62d67c13134fd
Homepage: https://cran.r-project.org/package=GeneSelectR
Description: CRAN Package 'GeneSelectR' ('GeneSelectR' - Comprehensive Feature Selection Workflow forBulk RNAseq Datasets)
 The workflow is a versatile R package designed for comprehensive feature
 selection in bulk RNAseq datasets. Its key innovation lies in the seamless
 integration of the 'Python' 'scikit-learn'
 (<https://scikit-learn.org/stable/index.html>) machine learning framework
 with R-based bioinformatics tools. 'GeneSelectR' performs robust Machine
 Learning-driven (ML) feature selection while leveraging 'Gene Ontology' (GO)
 enrichment analysis as described by Thomas PD et al. (2022)
 <doi:10.1002/pro.4218>, using 'clusterProfiler' (Wu et al., 2021)
 <doi:10.1016/j.xinn.2021.100141> and semantic similarity analysis powered by
 'simplifyEnrichment' (Gu, Huebschmann, 2021)
 <doi:10.1016/j.gpb.2022.04.008>. This combination of methodologies optimizes
 computational and biological insights for analyzing complex RNAseq datasets.

Package: r-cran-geneset
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rcurl, r-cran-fst, r-cran-stringi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geneset_0.2.7-1.ca2004.1_all.deb
Size: 367300
MD5sum: b1b776ebcbc8485a3572c98d2faec2cd
SHA1: 91f4224fccee88ee6331511d31ccb8b86711d521
SHA256: a5fafef3a9056968d36e7a6d7842c0fc3dcc746091624775d02570028ea598ab
SHA512: c43abcabc9f8b66f7952df62948e5b44328086e5bd0d4e7b65e53f31b8bb1c7687ef0c2d6254b153c93124c5faff4ba31503df8e55a3ef4b256a56620778b833
Homepage: https://cran.r-project.org/package=geneset
Description: CRAN Package 'geneset' (Get Gene Sets for Gene Enrichment Analysis)
 Gene sets are fundamental for gene enrichment analysis. The package
 'geneset' enables querying gene sets from public databases including 'GO'
 (Gene Ontology Consortium. (2004) <doi:10.1093/nar/gkh036>), 'KEGG' (Minoru
 et al. (2000) <doi:10.1093/nar/28.1.27>), 'WikiPathway' (Marvin et al.
 (2020) <doi:10.1093/nar/gkaa1024>), 'MsigDb' (Arthur et al. (2015)
 <doi:10.1016/j.cels.2015.12.004>), 'Reactome' (David et al. (2011)
 <doi:10.1093/nar/gkq1018>), 'MeSH' (Ish et al. (2014)
 <doi:10.4103/0019-5413.139827>), 'DisGeNET' (Janet et al. (2017)
 <doi:10.1093/nar/gkw943>), 'Disease Ontology' (Lynn et al. (2011)
 <doi:10.1093/nar/gkr972>), 'Network of Cancer Genes' (Dimitra et al. (2019)
 <doi:10.1186/s13059-018-1612-0>) and 'COVID-19' (Maxim et al. (2020)
 <doi:10.21203/rs.3.rs-28582/v1>).  Gene sets are stored in the list object
 which provides data frame of 'geneset' and 'geneset_name'.  The 'geneset'
 has two columns of term ID and gene ID. The 'geneset_name' has two columns
 of terms ID and term description.

Package: r-cran-genesignaturefinder
Architecture: all
Version: 2014.02.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-cluster, r-cran-class
Filename: pool/dists/focal/main/r-cran-genesignaturefinder_2014.02.17-1.ca2004.1_all.deb
Size: 178664
MD5sum: 91a4011f1f1454da91e20f811fddc737
SHA1: 4aa2fe04659e37f5fdb86052f987e41ff6e74c74
SHA256: 78900bcdcb56c8dc373ba9c96183167b1e7b19e787097e71563a127c35284dc6
SHA512: 27618e13968cad4cbb6e30c570c28ebb26bf35c6cc97cd91486248099b2df0ecfc425f8761e0f6aa71d775fb2835964a2590e5518145f9a86cb56efe7d43d5a0
Homepage: https://cran.r-project.org/package=geneSignatureFinder
Description: CRAN Package 'geneSignatureFinder' (A Gene-signatures finder tools)
 A tool for finding an ensemble gene-signature by a steepest ascending
 algorithm partially supervised by survival time data.

Package: r-cran-geneslope
Architecture: all
Version: 0.38.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 776
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-slope, r-cran-ggplot2, r-cran-bigmemory
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geneslope_0.38.3-1.ca2004.1_all.deb
Size: 415660
MD5sum: 3ef97fcc99d717556493cf3d8de70959
SHA1: d7c5bbab95c6536ebdf6aa57cfd939f0fbb461d1
SHA256: 599628f9fb1e446931d6b6043a8fe3526dcf8db837ec6c5cb79aff07b010e516
SHA512: ed7bc7a8bd6b651ed79da12264ee2faf203f0d4feda5b89232720493bf392898b260354ab3ada76c451fa3f623c6dbc1f3629a444ea7d16bc100da0da2e22b24
Homepage: https://cran.r-project.org/package=geneSLOPE
Description: CRAN Package 'geneSLOPE' (Genome-Wide Association Study with SLOPE)
 Genome-wide association study (GWAS) performed with SLOPE, short for Sorted
 L-One Penalized Estimation, a method for estimating the vector of
 coefficients in linear model.  In the first step of GWAS, SNPs are clumped
 according to their correlations and distances. Then, SLOPE is performed on
 data where each clump has one representative.

Package: r-cran-genesysr
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-dplyr, r-cran-readr, r-cran-magrittr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genesysr_2.1.1-1.ca2004.1_all.deb
Size: 102964
MD5sum: a029d8f9702c8b6eef7db8851bf3167b
SHA1: 664738073a3577937c6c91f66cf38e033722fe4e
SHA256: 23f8b3616539c8b8839d01742d8ea8cad950837c1eb3d921b0d16ff5f0f1ad4f
SHA512: 1efafd3bcd4bc8c1da46b705ee3bb6edf59a8ad6b5c63e1317399c32be50fb2e684ec02a9c2f8bc094a851d90c59761b9c00f4e23a2a200508634dddb338de60
Homepage: https://cran.r-project.org/package=genesysr
Description: CRAN Package 'genesysr' (Genesys PGR Client)
 Access data on plant genetic resources from genebanks around the world
 published on Genesys (<https://www.genesys-pgr.org>).  Your use of data is
 subject to terms and conditions available at
 <https://www.genesys-pgr.org/content/legal/terms>.

Package: r-cran-genetic.algo.optimizer
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 869
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rsconnect, r-cran-stringr, r-cran-tinytex, r-bioc-biocviews, r-cran-diagrammer
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-learnr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genetic.algo.optimizer_0.3.3-1.ca2004.1_all.deb
Size: 479104
MD5sum: 363629b5f50509c0a693a2df447771c5
SHA1: f94b0b0a594168b19048a667cc43474b93145e1d
SHA256: cd16bbddb2582205b69ab8d90817e7a599ea03c6dc4646b3e70c2bb16c5a0baa
SHA512: 77f00f4ae2416d49b877fc17107720a6f442225bf4f726688ffff0f1f9694f337a9920a5f36bef93f7d0c5c5611b55d4212b1ae3b6141c799f345ce1c2390e07
Homepage: https://cran.r-project.org/package=genetic.algo.optimizeR
Description: CRAN Package 'genetic.algo.optimizeR' (Genetic Algorithm Optimization)
 Genetic algorithm are a class of optimization algorithms inspired by the
 process of natural selection and genetics.  This package is for learning
 purposes and allows users to optimize various functions or parameters by
 mimicking biological evolution processes such as selection, crossover, and
 mutation. Ideal for tasks like machine learning parameter tuning,
 mathematical function optimization, and solving an optimization problem that
 involves finding the best solution in a discrete space.

Package: r-cran-geneticae
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggebiplots, r-cran-ggforce, r-cran-ggplot2, r-cran-scales, r-cran-mass, r-bioc-pcamethods, r-cran-rrcov, r-cran-dplyr, r-cran-missmda, r-cran-calibrate, r-cran-reshape2, r-cran-matrixstats, r-cran-tidyr, r-cran-prettydoc, r-cran-rlang
Suggests: r-cran-agridat, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geneticae_0.4.0-1.ca2004.1_all.deb
Size: 440500
MD5sum: 58b400544e622f1eba8a1b639eee2ed2
SHA1: cb2406cdf5230850e7446b988a5bc55bea33d699
SHA256: 5d19206d2e5a59c9d9741aa44b971dde76d45671fca8f1cf2b0b8ac29da476fb
SHA512: ba3c8998271b046e19ed64fda2455bf3e0da83c7c309961168d5e2d515d31f42506f9b32e574df816b464e7cb6dba70c64aa1220f26080bd8b0863383564bc97
Homepage: https://cran.r-project.org/package=geneticae
Description: CRAN Package 'geneticae' (Statistical Tools for the Analysis of Multi EnvironmentAgronomic Trials)
 Data from multi environment agronomic trials, which are often carried out by
 plant breeders, can be analyzed with the tools offered by this package such
 as the Additive Main effects and Multiplicative Interaction model or 'AMMI'
 ('Gauch' 1992, ISBN:9780444892409) and the Site Regression model or 'SREG'
 ('Cornelius' 1996, <doi:10.1201/9780367802226>). Since these methods present
 a poor performance under the presence of outliers and missing values, this
 package includes robust versions of the 'AMMI' model ('Rodrigues' 2016,
 <doi:10.1093/bioinformatics/btv533>), and also imputation techniques
 specifically developed for this kind of data ('Arciniegas-Alarcón' 2014,
 <doi:10.2478/bile-2014-0006>).

Package: r-cran-genetics
Architecture: all
Version: 1.3.8.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-gdata, r-cran-gtools, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-genetics_1.3.8.1.3-1.ca2004.1_all.deb
Size: 369728
MD5sum: e4407b2704eaf8d17ecbf7dcb86f7663
SHA1: b059d602300cecc96e2d91df88114c44ea9d9945
SHA256: 6230ebd311949afbf65a641cd20227947f645651ce80de4ed126d085c7e1481c
SHA512: 265732a593081df9d36a63dd68a246e858771a3aec5e70c0cfe9983c56c22bd1cdf1352c18cfd10be5d51b1ec9223b87ff04a1bda4194919de01b8202decda88
Homepage: https://cran.r-project.org/package=genetics
Description: CRAN Package 'genetics' (Population Genetics)
 Classes and methods for handling genetic data. Includes classes to represent
 genotypes and haplotypes at single markers up to multiple markers on
 multiple chromosomes. Function include allele frequencies, flagging
 homo/heterozygotes, flagging carriers of certain alleles, estimating and
 testing for Hardy-Weinberg disequilibrium, estimating and testing for
 linkage disequilibrium, ...

Package: r-cran-geneticsubsetter
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geneticsubsetter_0.8-1.ca2004.1_all.deb
Size: 79428
MD5sum: 4d61fd4061e9697ab5d2ee052b5ea4e6
SHA1: c18c282bc161b1b552c323f1a368b7d0879cfa5c
SHA256: ad077f0a32648e0aa65888e547eae13a31b8b0853d976eddf62f2ad82dd82e99
SHA512: a4b8d902b850d7fdb2f8d54ae27ca807fa246b812453af0b8c2c8f3130c4cdb4a6a81ff5dc943ea83f1122e0bc4c2cee0e7f96402165f4d941e39bf6abfcc9ea
Homepage: https://cran.r-project.org/package=GeneticSubsetter
Description: CRAN Package 'GeneticSubsetter' (Identify Favorable Subsets of Germplasm Collections)
 Finds subsets of sets of genotypes with a high Heterozygosity, and Mean of
 Transformed Kinships (MTK), measures that can indicate a subset would be
 beneficial for rare-trait discovery and genome-wide association scanning,
 respectively.

Package: r-cran-genetit
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3021
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme, r-cran-exactextractr, r-cran-terra, r-cran-sf, r-cran-sfnetworks, r-cran-igraph, r-cran-dplyr, r-cran-tidygraph, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-genetit_0.1-6-1.ca2004.1_all.deb
Size: 2929284
MD5sum: 84d8bf418118be04a6c8e14d9d97720e
SHA1: e05f1dd88994d0f0333223eab53a5a3ac2f490a3
SHA256: 5b7a7541c4d4352a0fdf76b46bb9fa565cb752fc98193a9773fb6426af99e4a2
SHA512: 8ff6ba1815f99524bd33804e7159dd2aaf77b12bd382e3838edd604d15909e0be82753d83990be372a65cc42cfb5d2fae3fb87c2de63412e983d0c4676dc34bd
Homepage: https://cran.r-project.org/package=GeNetIt
Description: CRAN Package 'GeNetIt' (Spatial Graph-Theoretic Genetic Gravity Modelling)
 Implementation of spatial graph-theoretic genetic gravity models.  The model
 framework is applicable for other types of spatial flow questions.  Includes
 functions for constructing spatial graphs, sampling and summarizing
 associated raster variables and building unconstrained and singly
 constrained gravity models.

Package: r-cran-geneviewer
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-fontawesome, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-bioc-biomart, r-bioc-pwalign, r-bioc-biostrings, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geneviewer_0.1.10-1.ca2004.1_all.deb
Size: 1144720
MD5sum: 0a4448186706faa2deab449df4f1f0ca
SHA1: 7827f97db0ad26207039903e7d73f8451e22f701
SHA256: aa53701de0d378b3be12b605cf0182c9d87344970e53a8fa11f892a4ed36715a
SHA512: cce4b80f55f4b4c932d996f18c14930b81098b19cac544c1dc6205bc8f44bf668d5b0baa7a1f8ba13ad11ab46b38c7a307a2ad7f88f795321d1e56ec9d31b139
Homepage: https://cran.r-project.org/package=geneviewer
Description: CRAN Package 'geneviewer' (Gene Cluster Visualizations)
 Provides tools for plotting gene clusters and transcripts by importing data
 from GenBank, FASTA, and GFF files. It performs BLASTP and MUMmer alignments
 [Altschul et al. (1990) <doi:10.1016/S0022-2836(05)80360-2>; Delcher et al.
 (1999) <doi:10.1093/nar/27.11.2369>] and displays results on gene arrow
 maps. Extensive customization options are available, including legends,
 labels, annotations, scales, colors, tooltips, and more.

Package: r-cran-genforimp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-sn
Filename: pool/dists/focal/main/r-cran-genforimp_1.0-1.ca2004.1_all.deb
Size: 62884
MD5sum: 61c82c17759a739d82d505c588147610
SHA1: fbd281868789991099ffb8159449f2906f22f724
SHA256: 83cf8638ae034c5c38360e5499c201258197e95b0d7926b9d65bfbce3713facc
SHA512: 66ef7c9f1a7e1defac18447d2f95392440f9f840204dba600ad667715eb4b1bf8755fa0e915269c33ec59f5aa49f4a3e301e62b47b0243c1f664eb6aaeccc23f
Homepage: https://cran.r-project.org/package=GenForImp
Description: CRAN Package 'GenForImp' (The Forward Imputation: A Sequential Distance-Based Approach forImputing Missing Data)
 Two methods based on the Forward Imputation approach are implemented for the
 imputation of quantitative missing data. One method alternates Nearest
 Neighbour Imputation and Principal Component Analysis (function
 'ForImp.PCA'), the other uses Nearest Neighbour Imputation with the
 Mahalanobis distance (function 'ForImp.Mahala').

Package: r-cran-genfrn
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genfrn_0.1.4-1.ca2004.1_all.deb
Size: 19352
MD5sum: 7ef7e27fa09742a08cbbf69ce78b6532
SHA1: da9544e15adfd2cb17b485ee997db345193adad1
SHA256: 3d1fee328abda71b2b54d8f3ce9707f70b73592846b05040949ca60fab9e2270
SHA512: 16409b8f18021013f04296948f97beb86af26f5970080a1e13939c05bc2248571d4eeebcfb8f361dbe5653429b918ac58d776f16f1d8365520a1818bac5ade89
Homepage: https://cran.r-project.org/package=genfrn
Description: CRAN Package 'genfrn' (Generating Triangular and Trapezoidal Fuzzy Random Numbers viaUniform Distribution)
 Triangular and trapezoidal fuzzy numbers are used to study fuzzy logic,
 fuzzy reasoning and approximating, fuzzy regression models, etc.  This
 package builds the generating function for triangular and trapezoidal fuzzy
 numbers based on Souliotis et al. (2022)<doi:10.3390/math10183350>.  They
 proposed a method for the construction of fuzzy numbers via a cumulative
 distribution function based on the possibility theory.

Package: r-cran-genhmm1d
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-matrixcalc, r-cran-reshape2, r-cran-rmutil, r-cran-vares, r-cran-vgam, r-cran-envstats, r-cran-gldex, r-cran-generalizedhyperbolic, r-cran-actuar, r-cran-extradistr, r-cran-gamlss.dist, r-cran-sgt, r-cran-skewt, r-cran-sn, r-cran-ssdtools, r-cran-stabledist
Filename: pool/dists/focal/main/r-cran-genhmm1d_0.2.1-1.ca2004.1_all.deb
Size: 264640
MD5sum: e8c6f0119d83bdb9cc3dadc672c12eb4
SHA1: 1d31b93bad30ba1e237d56fef565fa407e95f475
SHA256: 9d164b5b82e96354ab57edc1ac20d256ee78f2878e13be323d3c3a92a8e57266
SHA512: 82a2de58891e35369a8d97f2750e522a16261f1a7243e592e9be045ffe0679e87e0f24190d26ee1e65712cac86c309c221d4f420bdedafa1e65eefbe60dd80c0
Homepage: https://cran.r-project.org/package=GenHMM1d
Description: CRAN Package 'GenHMM1d' (Goodness-of-Fit for Zero-Inflated Univariate Hidden MarkovModels)
 Inference, goodness-of-fit tests, and predictions for continuous and
 discrete univariate Hidden Markov Models (HMM), including zero-inflated
 distributions. The goodness-of-fit test is based on a Cramer-von Mises
 statistic and uses parametric bootstrap to estimate the p-value. The
 description of the methodology is taken from Nasri et al (2020)
 <doi:10.1029/2019WR025122>.

Package: r-cran-geniebpc
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1220
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-dtplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-sunburstr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-gt, r-cran-gtsummary, r-cran-knitr, r-cran-magrittr, r-cran-plotly, r-cran-rmarkdown, r-cran-testthat, r-cran-markdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-geniebpc_2.0.1-1.ca2004.1_all.deb
Size: 1077488
MD5sum: 994fc047b03212c1fdedd7babf82b1c7
SHA1: f58ff4e9ef587de27ea18de33caf69bcd90f4131
SHA256: ee4666158f89224c260d19279999b9a38cdfaa62d236e2b58e6040541fb7cf8f
SHA512: ec0d16a1e5066737953797ac1c2c2b6c76af90502e5750c514cc3772413551af5e50b57593d3d6ccfb2797bdfeb26bde8fb4fa06bb765304e6d26bcc1d069843
Homepage: https://cran.r-project.org/package=genieBPC
Description: CRAN Package 'genieBPC' (Project GENIE BioPharma Collaborative Data Processing Pipeline)
 The American Association Research (AACR) Project Genomics Evidence Neoplasia
 Information Exchange (GENIE) BioPharma Collaborative represents a
 multi-year, multi-institution effort to build a pan-cancer repository of
 linked clinico-genomic data.  The genomic and clinical data are provided in
 multiple releases (separate releases for each cancer cohort with updates
 following data corrections), which are stored on the data sharing platform
 'Synapse' <https://www.synapse.org/>.  The 'genieBPC' package provides a
 seamless way to obtain the data corresponding to each release from 'Synapse'
 and to prepare datasets for analysis.

Package: r-cran-genius
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-tidytext, r-cran-reshape2, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genius_2.2.3-1.ca2004.1_all.deb
Size: 57852
MD5sum: 1085bbb08b479eac39ba5beb6ec7fc87
SHA1: 51423033fe897893fd29ff6806fa4da9073809c4
SHA256: 5c306737c6265a0d7c6990e7501aad02226cc9e3930e8fd1fb414f9b0f04c17e
SHA512: cbcca83b56cae4fa4ad6341459fc63ea38fba59fa1ca9606b160242dac009e517200301141032948999b441322cc558354f4151958b66718201fda93e78c33b3
Homepage: https://cran.r-project.org/package=genius
Description: CRAN Package 'genius' (Easily Access Song Lyrics from Genius.com)
 Easily access song lyrics in a tidy way.

Package: r-cran-geniusr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-purrr, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-geniusr_1.2.1-1.ca2004.1_all.deb
Size: 157928
MD5sum: 501e497d318798d1dfec3fcad930cb98
SHA1: 74b560de3e64eb059c263e8dda666f5bfb4a5e6e
SHA256: 16190f5265e59220fef56c3d19972a35ddc91008c7b022b93648716a239020db
SHA512: 3d5c0d11b7cbb59c47e7cce7da8b17c69b281fa49c1ee438f0ebb771c2f27a2d71a80083bc06cac357d8cb885509e2d78366c2a3c4a8fbc2f30d20912fe6c09e
Homepage: https://cran.r-project.org/package=geniusr
Description: CRAN Package 'geniusr' (Tools for Working with the 'Genius' API)
 Provides tools to interact nicely with the 'Genius' API
 <https://docs.genius.com/>.  Search hosted content, extract associated
 metadata and retrieve lyrics with ease.

Package: r-cran-genlogis
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-foreach, r-cran-distr, r-cran-manipulate, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-genlogis_1.0.2-1.ca2004.1_all.deb
Size: 82552
MD5sum: 84d31d057e4c5ee239b83eee44e2252b
SHA1: 17403debc5de736d27bb9e0a447b531d5c104d0e
SHA256: 27e4cd5ad9d7c8f0010fbc74027704bc854e991fbb2a7de78bfb563592961205
SHA512: 803073eb0c82967062af255e0dbb70f2559007c4dc269bdb1656714f9a677a1bce3b3c7e2f5c64573295543fec795b7b57484b4df9df78b21da05c42e3729b24
Homepage: https://cran.r-project.org/package=genlogis
Description: CRAN Package 'genlogis' (Generalized Logistic Distribution)
 Provides basic distribution functions for a generalized logistic
 distribution proposed by Rathie and Swamee (2006)
 <https://www.rroij.com/open-access/on-new-generalized-logistic-distributions-and-applicationsbarreto-fhs-mota-jma-and-rathie-pn-.pdf>.
 It also has an interactive 'RStudio' plot for better guessing dynamically of
 initial values for ease of included optimization and simulating.

Package: r-cran-genmarkov
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-alabama, r-cran-fastdummies, r-cran-hmisc, r-cran-matrixcalc, r-cran-maxlik, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-genmarkov_0.2.1-1.ca2004.1_all.deb
Size: 114528
MD5sum: 07b340f35dd3f844cb209c827766fe6b
SHA1: 8d3e5c640320f317e4ae802b6f2e6a4c2576f6d7
SHA256: 9eee722d1f637b3cef9982eeb6f44c3813fe4fddcf4382148e3caaf07b978a3c
SHA512: d704e95cc4a9fe6be8cce1d1b1973a4abe16b6424afadbd96fa84092b8fc1dec2df87df2d7bca22bde52fcc0ae961a4652ff39babd726d4f54340211b5cb23b4
Homepage: https://cran.r-project.org/package=GenMarkov
Description: CRAN Package 'GenMarkov' (Multivariate Markov Chains)
 Provides routines to estimate the Mixture Transition Distribution Model
 based on Raftery (1985) <http://www.jstor.org/stable/2345788> and Nicolau
 (2014) <doi:10.1111/sjos.12087> specifications, for multivariate data.
 Additionally, provides a function for the estimation of a new model for
 multivariate non-homogeneous Markov chains. This new specification,
 Generalized Multivariate Markov Chains (GMMC) was proposed by Carolina
 Vasconcelos and Bruno Damasio and considers (continuous or discrete)
 covariates exogenous to the Markov chain.

Package: r-cran-genmcmcdiag
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-coda, r-cran-mcmcse, r-cran-knitr, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genmcmcdiag_0.2.3-1.ca2004.1_all.deb
Size: 174864
MD5sum: 044cb0b77d42193ca0eee62ce3d44a5f
SHA1: 4536099328a43b37c7463c57662508c216db65fb
SHA256: e81210af8bf201d74ea20b793a8589ef12fa0a5cd7386d189bc74d25a3d4e8f4
SHA512: cd7c614b1c73786603e19f0f6d4d4a63aebe0d32187d86f47b0976f9db566d8f1f9b3d7be97de1636bddee6f1cbb86c4a842a003e9292ea9ffab744a81e0fa54
Homepage: https://cran.r-project.org/package=genMCMCDiag
Description: CRAN Package 'genMCMCDiag' (Generalized Convergence Diagnostics for Difficult MCMCAlgorithms)
 Trace plots and convergence diagnostics for Markov Chain Monte Carlo (MCMC)
 algorithms on highly multivariate or unordered spaces. Methods outlined in a
 forthcoming paper.

Package: r-cran-genmeta
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-magic, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-genmeta_0.2.0-1.ca2004.1_all.deb
Size: 71516
MD5sum: a02bcc1000dc7c0751c91d3ed7e30f9b
SHA1: eafda95d5dd7ee9ab19289d4dd9c1d85a39adda1
SHA256: aa03f18efb28946b55e852c87e416b0e43c719c490b9c44c3efd9f7764988401
SHA512: af80592fad5466f85475c271ed74f150420ed6842f4d7cdf9ce8dfa4f97cd48c2eb9994c6d0485e5f9a1b27a24cb9586662719866c66cd71c2e31268281cae49
Homepage: https://cran.r-project.org/package=GENMETA
Description: CRAN Package 'GENMETA' (Implements Generalized Meta-Analysis Using Iterated ReweightedLeast Squares Algorithm)
 Generalized meta-analysis is a technique for estimating parameters
 associated with a multiple regression model through meta-analysis of studies
 which may have information only on partial sets of the regressors. It
 estimates the effects of each variable while fully adjusting for all other
 variables that are measured in at least one of the studies. Using algebraic
 relationships between regression parameters in different dimensions, a set
 of moment equations is specified for estimating the parameters of a maximal
 model through information available on sets of parameter estimates from a
 series of reduced models available from the different studies. The
 specification of the equations requires a reference dataset to estimate the
 joint distribution of the covariates. These equations are solved using the
 generalized method of moments approach, with the optimal weighting of the
 equations taking into account uncertainty associated with estimates of the
 parameters of the reduced models. The proposed framework is implemented
 using iterated reweighted least squares algorithm for fitting generalized
 linear regression models. For more details about the method, please see
 pre-print version of the manuscript on generalized meta-analysis by
 Prosenjit Kundu, Runlong Tang and Nilanjan Chatterjee (2018)
 <doi:10.1093/biomet/asz030>.The current version (0.2.0) is updated to
 address some of the stability issues in the previous version (0.1).

Package: r-cran-geno2proteo
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2045
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-s4vectors, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-iranges, r-cran-r.utils, r-cran-runit
Filename: pool/dists/focal/main/r-cran-geno2proteo_0.0.6-1.ca2004.1_all.deb
Size: 1994384
MD5sum: 907571c2d6b1a2e682ec95925816b451
SHA1: b808f2e5fe5ee51e4ee96da89b621640129c71c4
SHA256: 2b60df4c9882913324b1c776af33d2f32d79c43522f70882b45a9264c21c0002
SHA512: 8d03dcd92ba35bbaeb76eb19cbd48b43c14366bd821eee21fde60c9c661c73c83cbd23a2934c248acae5c77473eb9fb4a336b82e6782f15a2734163ec3ae494e
Homepage: https://cran.r-project.org/package=geno2proteo
Description: CRAN Package 'geno2proteo' (Finding the DNA and Protein Sequences of Any Genomic orProteomic Loci)
 Using the DNA sequence and gene annotation files provided in 'ENSEMBL'
 <https://www.ensembl.org/index.html>, the functions implemented in the
 package try to find the DNA sequences and protein sequences of any given
 genomic loci, and to find the genomic coordinates and protein sequences of
 any given protein locations, which are the frequent tasks in the analysis of
 genomic and proteomic data.

Package: r-cran-genogeographer
Architecture: all
Version: 0.1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-shiny, r-cran-shinyjs, r-cran-knitr, r-cran-dt, r-cran-shinycssloaders, r-cran-purrr, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-tibble, r-cran-forcats, r-cran-readr, r-cran-rmarkdown, r-cran-rio, r-cran-maps, r-cran-shinywidgets, r-cran-rlang
Suggests: r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-genogeographer_0.1.19-1.ca2004.1_all.deb
Size: 170076
MD5sum: 31a319fb960e57b846911f489eb1fcea
SHA1: d99faa49d94bb8493c4abeedced9709553f181f8
SHA256: e421c2ad91dc9a55170becc124d9837bc3bc6a06858aceed24c5ff13b2ac531a
SHA512: a75e024f410cf462117c4ee54b6082dc898e58a0e6b82f23850d43344d49cf9b20372450ccbb081b0015dc59c116a7ac7e6d2bdff3b9c320689952c706b14877
Homepage: https://cran.r-project.org/package=genogeographer
Description: CRAN Package 'genogeographer' (Methods for Analysing Forensic Ancestry Informative Markers)
 Evaluates likelihood ratio tests for alleged ancestry. Implements the
 methods of Tvedebrink et al (2018) <doi:10.1016/j.tpb.2017.12.004>.

Package: r-cran-genomeadapt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-qvalue, r-cran-robust, r-bioc-snprelate, r-bioc-gdsfmt
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genomeadapt_1.0.0-1.ca2004.1_all.deb
Size: 122500
MD5sum: 8e755bb013cf1d8fed947cceb6e68683
SHA1: 76164f6fca7e69196754bb49bbaaf150d359c964
SHA256: e5065158223d8027818c60085ff8020c011e18de0cab6c7f6b11e0fb72829dd3
SHA512: 897ea7e0bf54681a72eb1071322cf0d11ce1aba253a57b402e28d13f24874963072c6245d2ffc97b0b2ed0621489b7a0d0ea5bb81b485ae923b41efa227344ef
Homepage: https://cran.r-project.org/package=GenomeAdapt
Description: CRAN Package 'GenomeAdapt' (Detecting Signatures of Local Adaptation Based on AncestryTrajectories)
 Portable, scalable and highly computationally efficient tool for detecting
 signatures of local adaptation based on multidimensional ancestry map ( _n_
 X _n_ ancestry genetic trajectories, _n_ is the number of individuals). If n
 samples are included in the analysis, there will be n dimensional spaces
 that represent the common ancestry maps based on the identity-by-descent
 (IBD). The package calculates the correlations of loci with the common
 ancestry genetic maps adopting the Genomic Data Structure (GDS, Zheng et
 al., 2012) <doi:10.1093/bioinformatics/bts606> and suitable for millions of
 SNP data. Loci sharing a greater level of most recent common ancestor (MRCA)
 (large Z-scores) indicates a large number of individuals descend from recent
 common ancestors, which signals the rapid increase in frequency of a
 beneficial allele due to recent positive selection. The rationale underlying
 this package is somewhat analogous to KLFDAPT (Qin, 2021)
 <doi:10.1101/2021.05.15.444294>
 (<https://xinghuq.github.io/KLFDAPC/articles/Genome_scan_KLFDAPC.html>). It
 combines the concept of IBD-based genome scan (Albrechtsen et al., 2010)
 <doi:10.1534/genetics.110.113977>, iHS (Voight, 2006)
 <doi:10.1371/journal.pbio.0040072>, and eigenanalysis of SNP data with an
 identity by descent interpretation (Zheng & Weir, 2016) <doi:
 10.1016/j.tpb.2015.09.004>. It can also be interpreted as spatial varying
 selection as ancestry genetic maps reflect geographic origins. Besides the
 detection of local adaptation, this package also estimates the population
 admixtures and plots its geographic genetic structure.

Package: r-cran-genomeplot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-genomeplot_1.0-1.ca2004.1_all.deb
Size: 401112
MD5sum: 35ec6116c56466a9c8d6edefb8afce7f
SHA1: a9202735e448196680c853e1acd779c654f50254
SHA256: 58a103967b6b568d7ddb3118b4d699bd641f3c3f072110fdd1ab7dc1352e1967
SHA512: f6e950bbf955cee6d7e24dd0f48ba63630801a45faf1cddc42d7c29e61732ba718ab5a4e31a54083a9a32b29a02389ae3c64efd3fee99d19d5a37416e172f546
Homepage: https://cran.r-project.org/package=genomeplot
Description: CRAN Package 'genomeplot' ('Plot genome wide values for all chromosomes')
 Plot values of markers(SNPs, expression, genes, RNA,...) for all
 chromosomes.

Package: r-cran-genomic.autocorr
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-reshape
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-genomic.autocorr_1.0-1-1.ca2004.1_all.deb
Size: 24104
MD5sum: af76fbaf7513d8af38dae8d6ff736001
SHA1: 502eeded4ab8719beafc23cfdefa181d29e3132a
SHA256: 98228d9e1d18e3f84d8cf60330e7bfb3db5df98ac9b74d9ffc6e1e9d62996037
SHA512: 781e5d97e2d2758c5d4243a2a0e179bd9e57b450a59c62c0b81ee57043b58e48e2d07a7e510b04908c6dabee8070cf14e2b6beb5d7a6ce2f4ad229c2b7c68fc7
Homepage: https://cran.r-project.org/package=genomic.autocorr
Description: CRAN Package 'genomic.autocorr' (Models Dealing with Spatial Dependency in Genomic Data)
 Local structure in genomic data often induces dependence between
 observations taken at different genomic locations.  Ignoring this dependence
 leads to underestimation of the standard error of parameter estimates.  This
 package uses block bootstrapping to estimate asymptotically correct standard
 errors of parameters from any standard generalised linear model that may be
 fit by the glm() function.

Package: r-cran-genomicper
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-bioc-reactome.db, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-cran-genomicper_1.7-1.ca2004.1_all.deb
Size: 176592
MD5sum: 7a432a24a8f4ed37937025669d424d21
SHA1: f24ea71d7ba42a698e8b6f7578d616f86aefe1ac
SHA256: cdbddde71f1ce9377c1313508183e3308ccb9846cc291bb0e42662ea3089faae
SHA512: fc36f9b851027bb084bd267ed4b4143b81818b8fe305ff934598c794081687bae8b275c1f7b9ab7f6cf57695d6b383323fe50853e8fa1624bcfb971f80586205
Homepage: https://cran.r-project.org/package=genomicper
Description: CRAN Package 'genomicper' (Circular Genomic Permutation using Genome Wide Associationp-Values)
 Circular genomic permutation approach uses genome wide association studies
 (GWAS) results to establish the significance of pathway/gene-set
 associations whilst accounting for genomic structure(Cabrera et al (2012)
 <doi:10.1534/g3.112.002618>). All single nucleotide polymorphisms (SNPs) in
 the GWAS are placed in a 'circular genome' according to their location. Then
 the complete set of SNP association p-values are permuted by rotation with
 respect to the SNPs' genomic locations. Two testing frameworks are
 available: permutations at the gene level, and permutations at the SNP
 level. The permutation at the gene level uses Fisher's combination test to
 calculate a single gene p-value, followed by the hypergeometric test. The
 SNP count methodology maps each SNP to pathways/gene-sets and calculates the
 proportion of SNPs for the real and the permutated datasets above a
 pre-defined threshold. Genomicper requires a matrix of GWAS association
 p-values and SNPs annotation to genes. Pathways can be obtained from within
 the package or can be provided by the user.

Package: r-cran-genomicsig
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kaos, r-bioc-biostrings, r-cran-entropy, r-cran-seqinr
Filename: pool/dists/focal/main/r-cran-genomicsig_0.1.0-1.ca2004.1_all.deb
Size: 48300
MD5sum: d6de6e86c6054d8d61380b16faef8899
SHA1: 1041c177c001b43300fa1215f455a36e8f75a94a
SHA256: 0f31577425be3363dbe362836bb0a4776262f5389f7bb1bd4ab11a15ef070cbb
SHA512: e218c733f41d32818a7badf66354be9dbacc3cda2670e5af9235bb0c49fbd8e0476f819964adfd9ef4822de2f2c7c900cbbaa99d7f955f23c47580604a5c390d
Homepage: https://cran.r-project.org/package=GenomicSig
Description: CRAN Package 'GenomicSig' (Computation of Genomic Signatures)
 Genomic signatures represent unique features within a species' DNA, enabling
 the differentiation of species and offering broad applications across
 various fields. This package provides essential tools for calculating these
 specific signatures, streamlining the process for researchers and offering a
 comprehensive and time-saving solution for genomic analysis.The amino acid
 contents are identified based on the work published by Sandberg et al.
 (2003) <doi:10.1016/s0378-1119(03)00581-x> and Xiao et al. (2015)
 <doi:10.1093/bioinformatics/btv042>. The Average Mutual Information Profiles
 (AMIP) values are calculated based on the work of Bauer et al. (2008)
 <doi:10.1186/1471-2105-9-48>. The Chaos Game Representation (CGR) plot
 visualization was done based on the work of Deschavanne et al. (1999)
 <doi:10.1093/oxfordjournals.molbev.a026048> and Jeffrey et al. (1990)
 <doi:10.1093/nar/18.8.2163>. The GC content is calculated based on the work
 published by Nakabachi et al. (2006) <doi:10.1126/science.1134196> and Barbu
 et al. (1956) <https://pubmed.ncbi.nlm.nih.gov/13363015>. The
 Oligonucleotide Frequency Derived Error Gradient (OFDEG) values are computed
 based on the work published by Saeed et al. (2009)
 <doi:10.1186/1471-2164-10-S3-S10>. The Relative Synonymous Codon Usage
 (RSCU) values are calculated based on the work published by Elek (2018)
 <https://urn.nsk.hr/urn:nbn:hr:217:686131>.

Package: r-cran-genomictools.filehandler
Architecture: all
Version: 0.1.5.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2316
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-bioc-snpstats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genomictools.filehandler_0.1.5.9-1.ca2004.1_all.deb
Size: 549524
MD5sum: 242a2c68538f397246c2566aabb358ec
SHA1: 200f9c7a302eef4fd228c0c53d8ad126fe180135
SHA256: 7b2ad764dd27c425ff28dd35ae694c23235a3f2884a5da9d366fb1455a905bfc
SHA512: 6bcf69c2d38090db72bba41b41af1dfcea23091b81a87cb82500045e312212372c632d873b40de1751b3473b3f01054edf6a70f8ec6596bf1d2e6ebfd3c7468f
Homepage: https://cran.r-project.org/package=GenomicTools.fileHandler
Description: CRAN Package 'GenomicTools.fileHandler' (File Handlers for Genomic Data Analysis)
 A collection of I/O tools for handling the most commonly used genomic
 datafiles, like fasta/-q, bed, gff, gtf, ped/map and vcf.

Package: r-cran-genoplotr
Architecture: all
Version: 0.8.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-genoplotr_0.8.11-1.ca2004.1_all.deb
Size: 875308
MD5sum: 0f4e02d28c06bd1b1b553d04cd931c7e
SHA1: ac08608d22f0db5f62cd499f3b17817e95179c4e
SHA256: 8579f5ff2682d28055bd6d30c630f6f6dc761d7769030e4923451484a278f9d1
SHA512: 2224161504c1c0b9a19f40bddfc8807a206638b2b5c6d5f77bff67c7fd9259ad14f03bf95465b725c17af58e7049854df4678a3a3eb916db054d2758773aafc0
Homepage: https://cran.r-project.org/package=genoPlotR
Description: CRAN Package 'genoPlotR' (Plot Publication-Grade Gene and Genome Maps)
 Draws gene or genome maps and comparisons between these, in a
 publication-grade manner. Starting from simple, common files, it will draw
 postscript or PDF files that can be sent as such to journals.

Package: r-cran-genopop
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-rsamtools, r-bioc-genomicranges, r-cran-foreach, r-cran-doparallel, r-cran-missforest, r-bioc-iranges
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-genopop_1.0.0-1.ca2004.1_all.deb
Size: 134068
MD5sum: 4854fb66c245e4a19602297f3784a017
SHA1: 266e234ea3cb92482ef6da6bc6a0540c5d90daf0
SHA256: 8772bb1a1f324f63e529b3c6f364cbfd139febb38085e2b7edc814db19f9892e
SHA512: 936f300722d92086e668f75944b8f16df3b5855ebd828b444aa26190359a241b555e919fd807593d0a0db25dbc69cd4fd5600ffb67532d2e4d902b29650a567e
Homepage: https://cran.r-project.org/package=GenoPop
Description: CRAN Package 'GenoPop' (Genotype Imputation and Population Genomics Efficiently fromVariant Call Formatted (VCF) Files)
 Tools for efficient processing of large, whole genome genotype data sets in
 variant call format (VCF). It includes several functions to calculate
 commonly used population genomic metrics and a method for reference panel
 free genotype imputation, which is described in the preprint Gurke & Mayer
 (2024) <doi:10.22541/au.172515591.10119928/v1>.

Package: r-cran-genord
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-genord_1.4.0-1.ca2004.1_all.deb
Size: 52156
MD5sum: 1a644501ee3ac7de1badcd4ad57f1255
SHA1: fcc5b171ee7671c6ce898f986334341e32d1319c
SHA256: 0cdcb73920fded180d97ff1189f87089f0479cd52d759d61f3c2b58567923c0b
SHA512: 5dcfa4da6b7852918ec9e552e65f352be853e9dfd7301e004403de73c5c76a582147a12aa9fca262df2e3654533adae87039011bd431b40ebd90426341466e8a
Homepage: https://cran.r-project.org/package=GenOrd
Description: CRAN Package 'GenOrd' (Simulation of Discrete Random Variables with Given CorrelationMatrix and Marginal Distributions)
 A gaussian copula based procedure for generating samples from discrete
 random variables with prescribed correlation matrix and marginal
 distributions.

Package: r-cran-genoscan
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-skat, r-cran-matrix, r-cran-mass, r-cran-seqminer, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-genoscan_0.1-1.ca2004.1_all.deb
Size: 108424
MD5sum: da1e5cb2359021fd130a85508145c920
SHA1: 026a0b7d85ae9909d905f5604e62ba6bca017166
SHA256: 1251888b8ad11c523fe2213dfcde8a6c7a28ba4a2ef1328a481cfa8011364bc5
SHA512: 9749ca894d7ddcfc0c41bf0fc4ac6efd6da668fd2d6b3e24da7ab7035cc730db79cd23158959f40492021eab4506b9d79093a666ef066e9823a5295609a30ddd
Homepage: https://cran.r-project.org/package=GenoScan
Description: CRAN Package 'GenoScan' (A Genome-Wide Scan Statistic Framework for Whole-Genome SequenceData Analysis)
 Functions for whole-genome sequencing studies, including genome-wide scan,
 candidate region scan and single window test.

Package: r-cran-genotriplo
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinybs, r-cran-cowplot, r-cran-doparallel, r-cran-dplyr, r-cran-dt, r-cran-foreach, r-cran-ggplot2, r-cran-htmltools, r-cran-processx, r-cran-rlang, r-cran-rmixmod, r-cran-shiny, r-cran-shinythemes, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-genotriplo_1.1.3-1.ca2004.1_all.deb
Size: 352108
MD5sum: a32c723db43b37cbdd5107dfbb560c79
SHA1: cb74be783f6bc05985dc99678381c5c973fa5e85
SHA256: 553493d3ddbc5c3ab6103dd2ed3130b89958d959c68c405b107bbd09a1c35338
SHA512: c0235de6b621703a4f54da76f6c51489b6583df302a6958370e4610521faaf78b30b932b7e7c11923f5cb2a534b6b3636de6381c8997e3339a74458df69d71bb
Homepage: https://cran.r-project.org/package=GenoTriplo
Description: CRAN Package 'GenoTriplo' (Genotyping Triploids (or Diploids) from Luminescence Data)
 Genotyping of triploid individuals from luminescence data (marker probeset A
 and B). Works also for diploids.  Two main functions: Run_Clustering() that
 regroups individuals with a same genotype based on proximity and
 Run_Genotyping() that assigns a genotype to each cluster. For Shiny
 interface use: launch_GenoShiny().

Package: r-cran-genotyper
Architecture: all
Version: 0.0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2529
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-plyr, r-cran-doby, r-cran-zoo, r-cran-colorspace
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-qtl
Filename: pool/dists/focal/main/r-cran-genotyper_0.0.1.8-1.ca2004.1_all.deb
Size: 197116
MD5sum: 6f44062feec37717822a5ddfcf081dab
SHA1: ea2332a11b7157640ee64fdd4aec01f1342ebbb7
SHA256: 139f4ab5c4083a6a41eaf0ee880cb40c04889db5b39e6809bec58e88edbec1be
SHA512: bf875085b5e0d83c0d0be771de43f5a15bf166de216f1567feb733b79d9862b56ff9f82994a8bfab5caee006159f987a5e81afe961b2bb236e40c39eb06219c6
Homepage: https://cran.r-project.org/package=genotypeR
Description: CRAN Package 'genotypeR' (SNP Genotype Marker Design and Analysis)
 We implement a common genotyping workflow with a standardized software
 interface. 'genotypeR' designs genotyping markers from vcf files, outputs
 markers for multiplexing suitability on various platforms (Sequenom and
 Illumina GoldenGate), and provides various QA/QC and analysis functions. We
 developed this package to analyze data in Stevison LS, SA Sefick, CA
 Rushton, and RM Graze. 2017. Invited Review: Recombination rate plasticity:
 revealing mechanisms by design. Philosophical Transactions Royal Society
 London B Biol Sci 372:1-14. <DOI:10.1098/rstb.2016.0459>, and have published
 it here Sefick, S.A., M.A. Castronova, and L.S. Stevison. 2017. GENOTYPER:
 An integrated R packages for single nuleotide polymorphism genotype marker
 design and data analysis. Methods in Ecology and Evolution 9: 1318-1323.
 <DOI: 10.1111/2041-210X.12965>.

Package: r-cran-genpathmox
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-csem, r-cran-diagram, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-genpathmox_1.1-1.ca2004.1_all.deb
Size: 238152
MD5sum: d46a06318e179b2c05ed6be3ad625cea
SHA1: 79ab22b52b2621f14a390b8e5a56d3478834940c
SHA256: 912cb8051876a380c5643219029b07b3975e00736cd91d8e4455ee8536a71b9f
SHA512: 52d5dcfd0c719282020cbb17e856fece26146ebdbe7c1505e761c4daf48c40a88e16f235a04c42fd5c2c8d7e28a4c4fb484ffd3522b8307f6a88b0c129a1b32c
Homepage: https://cran.r-project.org/package=genpathmox
Description: CRAN Package 'genpathmox' (Pathmox Approach Segmentation Tree Analysis)
 It provides an interesting solution for handling a high number of
 segmentation variables in partial least squares structural equation
 modeling. The package implements the "Pathmox" algorithm (Lamberti, Sanchez,
 and Aluja,(2016)<doi:10.1002/asmb.2168>) including the F-coefficient test
 (Lamberti, Sanchez, and Aluja,(2017)<doi:10.1002/asmb.2270>) to detect the
 path coefficients responsible for the identified differences).  The package
 also allows running the hybrid multi-group approach (Lamberti (2021)
 <doi:10.1007/s11135-021-01096-9>).

Package: r-cran-genpwr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-nleqslv, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genpwr_1.0.4-1.ca2004.1_all.deb
Size: 499016
MD5sum: 27416e80443a35c65b98475a11df22e9
SHA1: eeba3fb8c26f56b6c49e5a909ed434ed27c40aff
SHA256: b5b76c007bb4f07cf9f06354e5f2bd81c96e5e27c49b97c3804b547523e0cf1a
SHA512: b3ae5550bf1589d53eb7676c653fdfd661d96fa7a4c1bc8b4a359ec6914465ffdbb3dcdbc650e806ed33eeed21111264d6bc11f0e832a9f8ee9cbc62bb1f18c2
Homepage: https://cran.r-project.org/package=genpwr
Description: CRAN Package 'genpwr' (Power Calculations Under Genetic Model Misspecification)
 Power and sample size calculations for genetic association studies allowing
 for misspecification of the model of genetic susceptibility.  "Hum Hered.
 2019;84(6):256-271.<doi:10.1159/000508558>. Epub 2020 Jul 28."  Power and/or
 sample size can be calculated for logistic (case/control study design) and
 linear (continuous phenotype) regression models, using additive, dominant,
 recessive or degree of freedom coding of the genetic covariate while
 assuming a true dominant, recessive or additive genetic effect. In addition,
 power and sample size calculations can be performed for gene by environment
 interactions.  These methods are extensions of Gauderman (2002)
 <doi:10.1093/aje/155.5.478> and Gauderman (2002) <doi:10.1002/sim.973> and
 are described in: Moore CM, Jacobson S, Fingerlin TE. Power and Sample Size
 Calculations for Genetic Association Studies in the Presence of Genetic
 Model Misspecification.  American Society of Human Genetics.  October 2018,
 San Diego.

Package: r-cran-genridge
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-rgl, r-cran-colorspace
Suggests: r-cran-mass, r-cran-bestglm, r-cran-vcdextra
Filename: pool/dists/focal/main/r-cran-genridge_0.8.0-1.ca2004.1_all.deb
Size: 331568
MD5sum: 4ef7aac6281ce104712785eae4158469
SHA1: 40babd810305a6e72aca83bb70a1bf27bd8be6d7
SHA256: 03ac62e46a114abe3ed37ff3a11e46b2ba74d256deb92e0721bb4a97b41dfa66
SHA512: e60547a51ae26b8e4199d3599212c5431280ff681ea4e058c4769d8a5a2f899bdd19a4a0646291db36c4dd17bed213179890757c0bf72d85843a238f014cbf2b
Homepage: https://cran.r-project.org/package=genridge
Description: CRAN Package 'genridge' (Generalized Ridge Trace Plots for Ridge Regression)
 The genridge package introduces generalizations of the standard univariate
 ridge trace plot used in ridge regression and related methods.  These
 graphical methods show both bias (actually, shrinkage) and precision, by
 plotting the covariance ellipsoids of the estimated coefficients, rather
 than just the estimates themselves.  2D and 3D plotting methods are
 provided, both in the space of the predictor variables and in the
 transformed space of the PCA/SVD of the predictors.

Package: r-cran-genseir
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-minpack.lm, r-cran-nlsr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-genseir_0.1.1-1.ca2004.1_all.deb
Size: 98180
MD5sum: c48aa81e423296465b99acdb9f830f22
SHA1: 3ff8fbc92f279e11d562314693f3fd3b24695b0c
SHA256: 3ce16ab20f4cf9b831edb0199e5a89c039e79e8a129e490622ef869c74de49b5
SHA512: 12ed4f427ca20d0272e286b7bbf2bacdb389226a0e558550dcf62891708714b076de11fc666486c0aab925a66c4f6387129d5a5b90207f4b9c695599cdc1d1f4
Homepage: https://cran.r-project.org/package=genSEIR
Description: CRAN Package 'genSEIR' (Predict Epidemic Curves with Generalized SEIR Modeling)
 Performs generalized Susceptible-Exposed-Infected-Recovered (SEIR) modeling
 to predict epidemic curves. The method is described in Peng et al. (2020)
 <doi:10.1101/2020.02.16.20023465>.

Package: r-cran-genset
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-genset_0.1.1-1.ca2004.1_all.deb
Size: 53192
MD5sum: 03e1dd5b2a23b1a05f12842535e39ed6
SHA1: 535314daf1e1f0538ca883fda181b4c0c10e551b
SHA256: 1c5f8e86af605723d2a24bb6ad6f2845f4c4a4b02224dbdfc28ba77a7a60d7b6
SHA512: ec8a3788fa6395e6fdff8b8588e65c2ddd4de1c977c478ecadebcaef3a59fef2a507576df4eb3dcc0d8064255f545bef64d37e740263f609870f7697c38ddaa4
Homepage: https://cran.r-project.org/package=genset
Description: CRAN Package 'genset' (Generates Multiple Data Sets)
 Generate multiple data sets for educational purposes to demonstrate the
 importance of multiple regression. The genset function generates a data set
 from an initial data set to have the same summary statistics (mean, median,
 and standard deviation) but opposing regression results.

Package: r-cran-gensphere
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvmesh, r-cran-geometry, r-cran-sphericalcubature, r-cran-rgl, r-cran-simplicialcubature
Filename: pool/dists/focal/main/r-cran-gensphere_1.3-1.ca2004.1_all.deb
Size: 123068
MD5sum: 037d9d704058c45cd5e03848db53229c
SHA1: b99e2daa30dd21ffe5132a6fd3f31bbd771f1e46
SHA256: feb2aeaef20b13902518fd03c3aa443a4bbc7773311b942739739af67290056b
SHA512: 469996f3525959acf6ca82455a1378d14e5ffc029c87f42c84e2460fd45d6d5bb6df618625ccff0b0e613468795c80fdd7acb6df779cf0e26d6844295105b003
Homepage: https://cran.r-project.org/package=gensphere
Description: CRAN Package 'gensphere' (Generalized Spherical Distributions)
 Define and compute with generalized spherical distributions - multivariate
 probability laws that are specified by a star shaped contour (directional
 behavior) and a radial component.  The methods are described in Nolan (2016)
 <doi:10.1186/s40488-016-0053-0>.

Package: r-cran-genstab
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-genstab_1.0.0-1.ca2004.1_all.deb
Size: 46208
MD5sum: 58dad5b50ae408699eab11037b331ab7
SHA1: 4c11b7c1c780659dfce1f7c623b2d3f79e6c5fff
SHA256: 160e71ea0776e06084d2ce0097195f9baaa7068ea05f5b7e93c95c7fbcde2434
SHA512: a190b923eec47bc0beeb3817c684f7c96e9fbf0762d80991825957c4a64060548d51a2ad0fc2975ec54539a2e95ccac945241676f9a238139048f87618318668
Homepage: https://cran.r-project.org/package=genstab
Description: CRAN Package 'genstab' (Resampling Based Yield Stability Analyses)
 Several yield stability analyses are mentioned in this package: variation
 and regression based yield stability analyses. Resampling techniques are
 integrated with these stability analyses. The function stab.mean() provides
 the genotypic means and ranks including their corresponding confidence
 intervals. The function stab.var() provides the genotypic variances over
 environments including their corresponding confidence intervals. The
 function stab.fw() is an extended method from the Finlay-Wilkinson method
 (1963). This method can include several other factors that might impact
 yield stability. Resampling technique is integrated into this method. A few
 missing data points or unbalanced data are allowed too. The function
 stab.fw.check() is an extended method from the Finlay-Wilkinson method
 (1963). The yield stability is evaluated via common check line(s).
 Resampling technique is integrated.

Package: r-cran-gentag
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gentag_1.0-1.ca2004.1_all.deb
Size: 69304
MD5sum: 997d3492eb5aec4f4300367f35acf136
SHA1: a094bac00ccda9eb96c050e2f25ad0f13aa9854f
SHA256: 8618436cd3ab4b697ab19f75abb5df22133cf1a4358435268516802e74d5e22d
SHA512: 5312c81a861871dcd578361e6ad0700908a7a1ffb7d3b7032d79e02061c3c2466ad60e4bb057079f2c792673c1aad92fc2b469c2a133b7f62de440dfa85f25e4
Homepage: https://cran.r-project.org/package=GenTag
Description: CRAN Package 'GenTag' (Generate Color Tag Sequences)
 Implement a coherent and flexible protocol for animal color tagging.
 'GenTag' provides a simple computational routine with low CPU usage to
 create color sequences for animal tag. First, a single-color tag sequence is
 created from an algorithm selected by the user, followed by verification of
 the combination uniqueness. Three methods to produce color tag sequences are
 provided. Users can modify the main function core to allow a wide range of
 applications.

Package: r-cran-gents
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1800
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gents_0.1.4-1.ca2004.1_all.deb
Size: 1470040
MD5sum: 9f31b34f046c0778672ecc6a373c2d66
SHA1: 9ba4a67f23eec5c7538207c3bd4bee08894c1dc7
SHA256: 4ac0452c675fe7b48a96d150463cbb7f279cad799c5859711f36893b7c689fa1
SHA512: 45c11ac0f9df77e07d358d8ad75a3aa664bd0cedbd1a01ce2776052c46310db4622dea7c32a98783d367a1362cac74f43eba889bc2f2093aa2bba09d515c0657
Homepage: https://cran.r-project.org/package=genTS
Description: CRAN Package 'genTS' (R Shiny App for Creating Simplified Trial Summary (TS) Domain)
 Make it easy to create simplified trial summary (TS) domain based on FDA FDA
 guide
 <https://github.com/TuCai/phuse/blob/master/inst/examples/07_genTS/www/Simplified_TS_Creation_Guide_v2.pdf>.

Package: r-cran-gentwoarmstrialsize
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-trialsize, r-cran-dplyr, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gentwoarmstrialsize_0.0.5-1.ca2004.1_all.deb
Size: 223520
MD5sum: 7945f34c3b8d4981b84923938bbc81d3
SHA1: e0169a122fe3a801ce3b769088506f6113f50faa
SHA256: 0a4a5d200eb36929f3cbb1310370fd74d6be7f6f58e86be963d79274e81e8ca7
SHA512: f8b03d8ad831117098c51c86d00c6622227b5521ebb48e1e9440046034af26673b9d56526aaafc747cbb6de5df913d17f3a953057faf66381fc8b93af3430ea1
Homepage: https://cran.r-project.org/package=GenTwoArmsTrialSize
Description: CRAN Package 'GenTwoArmsTrialSize' (Generalized Two Arms Clinical Trial Sample Size Calculation)
 Two arms clinical trials required sample size is calculated in the
 comprehensive parametric context. The calculation is based on the type of
 endpoints(continuous/binary/time-to-event/ordinal), design
 (parallel/crossover), hypothesis tests
 (equality/noninferiority/superiority/equivalence), trial arms noncompliance
 rates and expected loss of follow-up. Methods are described in: Chow SC,
 Shao J, Wang H, Lokhnygina Y (2017) <doi:10.1201/9781315183084>, Wittes, J
 (2002) <doi:10.1093/epirev/24.1.39>, Sato, T (2000)
 <doi:10.1002/1097-0258(20001015)19:19%3C2689::aid-sim555%3E3.0.co;2-0>,
 Lachin J M, Foulkes, M A (1986) <doi:10.2307/2531201>, Whitehead J(1993)
 <doi:10.1002/sim.4780122404>, Julious SA (2023) <doi:10.1201/9780429503658>.

Package: r-cran-genular
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-plyr, r-cran-purrr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-genular_1.0.1-1.ca2004.1_all.deb
Size: 77528
MD5sum: ff361d335ee705639504c53723c4f3fc
SHA1: 02ba1295bf0e49e728d6d794517eddb40b94a682
SHA256: 5bc5bda5eec72f5ca2ec48fd7e42cc1918e4abd6200e711dd3302a3a8a04bc65
SHA512: 163ac1518b03db2de59e14d03416fb7db9ab144099bab5748521744fb33456ec31b3575e4fcaf2957688b3bb91847fb5fc4c968ffd48736ba9752d88cb779423
Homepage: https://cran.r-project.org/package=genular
Description: CRAN Package 'genular' ('Genular' Database API)
 Provides an interface to the 'Genular' database API
 (<https://genular.atomic-lab.org>), allowing efficient retrieval and
 integration of genomic, proteomic, and single-cell data. It supports
 operations like fetching gene annotations, cell expression profiles, and
 other information as defined in the 'Genular' database, enabling seamless
 incorporation of biological data into R workflows. With functions tailored
 for bioinformatics and machine learning, the package facilitates exploration
 of cellular heterogeneity, gene-disease relationships, and pathway analysis,
 streamlining multi-omics data analysis.

Package: r-cran-genwin
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1236
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pspline
Filename: pool/dists/focal/main/r-cran-genwin_1.0-1.ca2004.1_all.deb
Size: 1048072
MD5sum: 50c915328172988b6a088cc8bcb91378
SHA1: 0f7370438549ae6cb23f5ff1cf7f4da4d0e1175c
SHA256: d85e1366ce5f59bd3560ce2f6019cff18cf601947d5f534085780f3748f0bd59
SHA512: 4de4f9e0ec054e0c1ee2bfcb4de730475547ef123ebe54fa36ba9daedd944679e986c919366e31a300a77022325a8f86d386d07bf4884cbc7cae3c23e195e4c7
Homepage: https://cran.r-project.org/package=GenWin
Description: CRAN Package 'GenWin' (Spline Based Window Boundaries for Genomic Analyses)
 Defines window or bin boundaries for the analysis of genomic data.
 Boundaries are based on the inflection points of a cubic smoothing spline
 fitted to the raw data. Along with defining boundaries, a technique to
 evaluate results obtained from unequally-sized windows is provided.
 Applications are particularly pertinent for, though not limited to, genome
 scans for selection based on variability between populations (e.g. using
 Wright's fixations index, Fst, which measures variability in subpopulations
 relative to the total population).

Package: r-cran-geoar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-httr, r-cran-assertthat, r-cran-attempt, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-curl, r-cran-glue, r-cran-leaflet, r-cran-jsonlite, r-cran-purrr
Suggests: r-cran-testthat, r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-geofacet, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-geoar_1.0.0-1.ca2004.1_all.deb
Size: 579376
MD5sum: fdfbec60f4157b4450fa2bb20dd8962a
SHA1: d0c33e0e0878403bec3a721a668c3616d708eeba
SHA256: ac7b193d3b7ccd56ad346bb48fd2e5b4f374ae685f0a3b3dc1c2b2cb35f42997
SHA512: 0bec107e3a34c6d47dc20d4460c9bc12a78cefe46a10ab0e1adcc12f6bc7fece7136d2e22cb2ec4b6858ace72499ebc17fc44a0c4cc3ac7d587f639860658589
Homepage: https://cran.r-project.org/package=geoAr
Description: CRAN Package 'geoAr' (Argentina's Spatial Data Toolbox)
 Collection of tools that facilitates data access and workflow for spatial
 analysis of Argentina. Includes historical information from censuses,
 administrative limits at different levels of aggregation, location of human
 settlements, among others. Since it is expected that the majority of users
 will be Spanish-speaking, the documentation of the package prioritizes this
 language, although an effort is made to also offer annotations in English.

Package: r-cran-geoboxplot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-geoboxplot_1.0-1.ca2004.1_all.deb
Size: 25544
MD5sum: a20826f56ded42673f37c9d4ff67b86d
SHA1: 36f0acd29fc5e40c0bceb6227b8d898585d5f737
SHA256: a4c390c9bf5218d04de7a1e2dcc8415521016be565e263678a3d7bdab080dafd
SHA512: d92a63048ba316e5abd6ef0565e27f518e8bb6c5c2316a2e3dc102117910b3ecc9b822429181a6721131da82e633eb14e1c9abd7f6b555c3e711e314498a075f
Homepage: https://cran.r-project.org/package=GeoBoxplot
Description: CRAN Package 'GeoBoxplot' (Geographic Box Plot)
 Make geographic box plot as detailed in Willmott et al. (2007).

Package: r-cran-geobr
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2055
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-data.table, r-cran-fs, r-cran-sf
Suggests: r-cran-arrow, r-cran-censobr, r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geobr_1.9.1-1.ca2004.1_all.deb
Size: 1195240
MD5sum: ab5a53127f5615af997536db8ff74617
SHA1: 5a363f40e1048ca7eae5205e78cd0896854b657d
SHA256: da614571f9c9ea1530c6eacceacc327abf8449151d7f6e410157eed00ae1e64d
SHA512: ce53975d9ce21511575d8503a289bec2eb8a0b7bf76da2cf1de780f7d418d90cdc6b24a706380dba1a6c81f5bb2d2f578d94106d266ff06b05b0e60905dbb2c8
Homepage: https://cran.r-project.org/package=geobr
Description: CRAN Package 'geobr' (Download Official Spatial Data Sets of Brazil)
 Easy access to official spatial data sets of Brazil as 'sf' objects in R.
 The package includes a wide range of geospatial data available at various
 geographic scales and for various years with harmonized attributes,
 projection and fixed topology.

Package: r-cran-geocacher
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-tibble, r-cran-threewords
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geocacher_0.1.0-1.ca2004.1_all.deb
Size: 41976
MD5sum: 93189f137d28ce59bef84c5215afc2a9
SHA1: 9f86a5d467f28121e397db1d7a4545bea29db8fc
SHA256: 8f5d25ae6061cab1f34bfeee988a2cf2092a872b08221a512923c07435a1342e
SHA512: ffbbc520625e4401524e3c5fa0a80d6ccd70632feba3b9bb6f60177a40ed64c6a745367e7467cbc1374a5965045b2cc5f0de25b0f276951bb70c9806b0ccf1e7
Homepage: https://cran.r-project.org/package=geocacheR
Description: CRAN Package 'geocacheR' (Tools for Geocaching)
 Tools for solving common geocaching puzzle types, and other
 Geocaching-related tasks.

Package: r-cran-geocausal
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1027
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-furrr, r-cran-ggplot2, r-cran-ggpubr, r-cran-latex2exp, r-cran-mclust, r-cran-progressr, r-cran-purrr, r-cran-sf, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.model, r-cran-spatstat.univar, r-cran-terra, r-cran-tidyr, r-cran-tidyselect, r-cran-tidyterra
Suggests: r-cran-elevatr, r-cran-geosphere, r-cran-gridextra, r-cran-ggthemes, r-cran-knitr, r-cran-readr, r-cran-gridgraphics
Filename: pool/dists/focal/main/r-cran-geocausal_0.3.4-1.ca2004.1_all.deb
Size: 1006588
MD5sum: 03e2e94edd4e3c861d6376beb8c21e41
SHA1: cd6637434757ea6ddf0b6d9548a88903a6aba1bf
SHA256: b4f3ef4605c7642761193d71a3ecbf2219bdb26e1eb88a66d46ccf11b149d333
SHA512: 2135c69835bc40a7d291a735eb2db2354c6f58993070933506d8e99b5f87f6db7190e0f46ea2449221bdd68e3d3b394e2d2ccd11a6072850dae3afcbdc7e3ec4
Homepage: https://cran.r-project.org/package=geocausal
Description: CRAN Package 'geocausal' (Causal Inference with Spatio-Temporal Data)
 Spatio-temporal causal inference based on point process data.  You provide
 the raw data of locations and timings of treatment and outcome events,
 specify counterfactual scenarios, and the package estimates causal effects
 over specified spatial and temporal windows.  See Papadogeorgou, et al.
 (2022) <doi:10.1111/rssb.12548> and Mukaigawara, et al. (2024)
 <doi:10.31219/osf.io/5kc6f>.

Package: r-cran-geocodebr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 803
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-dbi, r-cran-dplyr, r-cran-duckdb, r-cran-enderecobr, r-cran-fs, r-cran-glue, r-cran-httr2, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-sfheaders
Suggests: r-cran-covr, r-cran-dbplyr, r-cran-geobr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geocodebr_0.1.1-1.ca2004.1_all.deb
Size: 595484
MD5sum: 7ff58cb0f5a0bf3973b9d46f3b53d0fe
SHA1: fba3bb6cc66b1137307f62f8f414e52a97f82371
SHA256: f3da19617678d55fe5092e8fbf95b49a9528c07bf45cab6dfdefb60d822289fc
SHA512: 754b1cc67c88e56a7dbf39ea3309089753be21101ff1805b4951c3152e8bc07619377441a3ad9f573a85e56a8069c54e3f08ebbde049fed90139d16081844cc8
Homepage: https://cran.r-project.org/package=geocodebr
Description: CRAN Package 'geocodebr' (Geolocalização De Endereços Brasileiros (Geocoding BrazilianAddresses))
 Método simples e eficiente de geolocalizar dados no Brasil. O pacote é
 baseado em conjuntos de dados espaciais abertos de endereços brasileiros,
 utilizando principalmente o Cadastro Nacional de Endereços para Fins
 Estatísticos (CNEFE). O CNEFE é publicado pelo Instituto Brasileiro de
 Geografia e Estatística (IBGE), órgão oficial de estatísticas e geografia do
 Brasil. (A simple and efficient method for geolocating data in Brazil. The
 package is based on open spatial datasets of Brazilian addresses, primarily
 using the Cadastro Nacional de Endereços para Fins Estatísticos (CNEFE),
 published by the Instituto Brasileiro de Geografia e Estatística (IBGE),
 Brazil's official statistics and geography agency.)

Package: r-cran-geodadata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3480
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-geodadata_0.1.0-1.ca2004.1_all.deb
Size: 3521736
MD5sum: 3ef4a758e5ce67776b4edbb9c8e7b9b9
SHA1: 43271ca3b6bfbb1e6a32c7d3c34164d740094e13
SHA256: 159e85de5fed6d8912d21358c80375a6baa5c50ec0750617c59e08b9df293020
SHA512: 48edadfc29760bd9f2e2845a9d59e1465a1e71a68711c7a065839d09133b28e93b50c818f8684f7794e0718626ffffb90b856e5791b6b4aacff3290c637084e5
Homepage: https://cran.r-project.org/package=geodaData
Description: CRAN Package 'geodaData' (Spatial Analysis Datasets for Teaching)
 Stores small spatial datasets used to teach basic spatial analysis concepts.
 Datasets are based off of the 'GeoDa' software workbook and data site
 <https://geodacenter.github.io/data-and-lab/> developed by Luc Anselin and
 team at the University of Chicago. Datasets are stored as 'sf' objects.

Package: r-cran-geodata
Architecture: all
Version: 0.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Suggests: r-cran-jsonlite, r-cran-r.utils, r-cran-httr, r-cran-archive
Filename: pool/dists/focal/main/r-cran-geodata_0.6-2-1.ca2004.1_all.deb
Size: 239916
MD5sum: 5a31c8014ac9131da972d346d3cc4037
SHA1: 22820499c5edc83c96f32fc20f37250a2a8f0438
SHA256: a68f054f2bd8320f791161410122d66bd2e0f6abf3a91ee62c8c7b19ed4e6f71
SHA512: 46f24942f2ce0e1cdacefe66b99311c508582144c5292991407aa34fe14f2ed659c50bbf4bb8fb81df3fa4b934f24b37b66a9f3043137ca579d9df0b2f492809
Homepage: https://cran.r-project.org/package=geodata
Description: CRAN Package 'geodata' (Download Geographic Data)
 Functions for downloading of geographic data for use in spatial analysis and
 mapping. The package facilitates access to climate, crops, elevation, land
 use, soil, species occurrence, accessibility, administrative boundaries and
 other data.

Package: r-cran-geode
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4435
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-geode_1.0-1.ca2004.1_all.deb
Size: 4505800
MD5sum: f8ad40d022e9132aec58c9e6520191b7
SHA1: 12b3d6b3f7ef85f60f126a8b0ae8c511fd010122
SHA256: a4cc0cbf8e3b86a06e79fcaef816539f4330a5284b3065c65e9bdba23a0133b7
SHA512: af86e1c935293e457c58529b75479cdae8b60e49a6711ea9363862f65ac24a9c272395566f62792c2c9950c80093c710c1872906da36e927c609d2cea54afb55
Homepage: https://cran.r-project.org/package=GeoDE
Description: CRAN Package 'GeoDE' (A geometrical Approach to Differential expression and gene-setenrichment)
 Given expression data this package calculate a multivariate geometrical
 characterization of the differential expression and can also perform
 gene-set enrichment.

Package: r-cran-geodesicl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-readr, r-cran-dplyr, r-cran-rgdal, r-cran-magrittr, r-cran-tibble, r-cran-leafpop, r-cran-htmltools, r-cran-leaflet, r-cran-profvis, r-cran-mapview
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-geodesicl_1.0.0-1.ca2004.1_all.deb
Size: 228608
MD5sum: 09afb1144b67a8327e52cb9cada8594d
SHA1: cf09eb0f7d4237c84b5e700815e3c9ef442c6dc7
SHA256: a9f6ff78a16491ce9671ab986bef2eb647cb938e66aaeccd2cf9bb6d32fc95db
SHA512: 76db5f9438559578ed373a43ff0d9c3f913b15623dff6fff7ef49b68fa3fee7edb94416de89ea75a0b0c3008f3a3c4f0f34a56673837ee877eaa66a6f1cdd3c5
Homepage: https://cran.r-project.org/package=GeodesiCL
Description: CRAN Package 'GeodesiCL' (Geometric Geodesy Functions)
 Geometric geodesy functions applied to most common ellipsoids. This package
 was created to streamline and facilitate their work for surveyors,
 geographers, and everything related to geosciences.

Package: r-cran-geodetector
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2654
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geodetector_1.0-5-1.ca2004.1_all.deb
Size: 1692516
MD5sum: 2ec165db520781509db627f25132a771
SHA1: 43d6b9d80d2a2545814da8dadc083b17c74e9e8b
SHA256: 7ce3abbb511116d32b5154865deb6ebf9eed13b49d66ac042582f6654436b2f2
SHA512: 5128fbc9795d4a603d549dffe098131e3824e87522adf84ba7cd2c681fcdf6d664051a52a76ac3b106bf573059260742e4bff4799aa3e08e809d6d9c50d12e0d
Homepage: https://cran.r-project.org/package=geodetector
Description: CRAN Package 'geodetector' (Stratified Heterogeneity Measure, Dominant Driving ForceDetection, Interaction Relationship Investigation)
 Spatial stratified heterogeneity (SSH), referring to the within strata are
 more similar than the between strata, a model with global parameters would
 be confounded if input data is SSH. Note that the "spatial" here can be
 either geospatial or the space in mathematical meaning. Geographical
 detector is a novel tool to investigate SSH: (1) measure and find SSH of a
 variable Y; (2) test the power of determinant X of a dependent variable Y
 according to the consistency between their spatial distributions; and (3)
 investigate the interaction between two explanatory variables X1 and X2 to a
 dependent variable Y (Wang et al 2014 <doi:10.1080/13658810802443457>, Wang,
 Zhang, and Fu 2016 <doi:10.1016/j.ecolind.2016.02.052>).

Package: r-cran-geodimension
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3075
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-snakecase, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geodimension_2.0.0-1.ca2004.1_all.deb
Size: 3027020
MD5sum: f6193b3aea29c7615223b37d3396d69e
SHA1: 336e7efa8a323ee9a3025b80228ea5471c8f7789
SHA256: 00402b9a4a712fae482b5513ad36a903177823dcd95eb511abd3851994fcc6cf
SHA512: 54c5ef378a1bf44844e76215e42b9535dd7f2a88cc619aafadb9921b865e96f7fbe36b0d0a14d3d0e2f1cfcaa3f2a04dd97aa6aa4f0867cbef117133ee5541c2
Homepage: https://cran.r-project.org/package=geodimension
Description: CRAN Package 'geodimension' (Definition of Geographic Dimensions)
 The geographic dimension plays a fundamental role in multidimensional
 systems. To define a geographic dimension in a star schema, we need a table
 with attributes corresponding to the levels of the dimension. Additionally,
 we will also need one or more geographic layers to represent the data using
 this dimension. The goal of this package is to support the definition of
 geographic dimensions from layers of geographic information related to each
 other. It makes it easy to define relationships between layers and obtain
 the necessary data from them.

Package: r-cran-geodl
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-torch, r-cran-torchvision, r-cran-dplyr, r-cran-terra, r-cran-luz, r-cran-multiscaledtm, r-cran-psych, r-cran-coro, r-cran-r6, r-cran-readr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geodl_0.2.0-1.ca2004.1_all.deb
Size: 1175508
MD5sum: c5ee6228f02993a50c44f85aeb5c4e85
SHA1: 27d4ada66961b792b0728b8e1ca2249ef6f252bd
SHA256: 6c51486752c620734f46c190dadbf938618de5176abf06b836dfb6cf7f379170
SHA512: d9a12a3026156807b076a56d5ffd4537351bcc805a43e4347669156adf45b656698290f4d085ae7273d28d706147bdd6518e65f92e9af1b87d1ef76acd9a95f5
Homepage: https://cran.r-project.org/package=geodl
Description: CRAN Package 'geodl' (Geospatial Semantic Segmentation with Torch and Terra)
 Provides tools for semantic segmentation of geospatial data using
 convolutional neural network-based deep learning. Utility functions allow
 for creating masks, image chips, data frames listing image chips in a
 directory, and DataSets for use within DataLoaders. Additional functions are
 provided to serve as checks during the data preparation and training
 process. A UNet architecture can be defined with 4 blocks in the encoder, a
 bottleneck block, and 4 blocks in the decoder. The UNet can accept a
 variable number of input channels, and the user can define the number of
 feature maps produced in each encoder and decoder block and the bottleneck.
 Users can also choose to (1) replace all rectified linear unit (ReLU)
 activation functions with leaky ReLU or swish, (2) implement attention gates
 along the skip connections, (3) implement squeeze and excitation modules
 within the encoder blocks, (4) add residual connections within all blocks,
 (5) replace the bottleneck with a modified atrous spatial pyramid pooling
 (ASPP) module, and/or (6) implement deep supervision using predictions
 generated at each stage in the decoder. A unified focal loss framework is
 implemented after Yeung et al. (2022)
 <doi:10.1016/j.compmedimag.2021.102026>. We have also implemented assessment
 metrics using the 'luz' package including F1-score, recall, and precision.
 Trained models can be used to predict to spatial data without the need to
 generate chips from larger spatial extents. Functions are available for
 performing accuracy assessment. The package relies on 'torch' for
 implementing deep learning, which does not require the installation of a
 'Python' environment. Raster geospatial data are handled with 'terra'.
 Models can be trained using a Compute Unified Device Architecture
 (CUDA)-enabled graphics processing unit (GPU); however, multi-GPU training
 is not supported by 'torch' in 'R'.

Package: r-cran-geodrawr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-leaflet, r-cran-shiny, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-geodrawr_2.0.0-1.ca2004.1_all.deb
Size: 29752
MD5sum: c666e74fb308c336c744fdeca4cedcb7
SHA1: b449d9c748218248f1c21bc701c3421856754001
SHA256: ead4da8298b859fa164d5b844bb68541c7a7c9d34723eb678e230e72df1a0c4e
SHA512: 525e6a483f7394ed14ac70231912e09de93f2d7d986964d14e4fd542d9c134a8cef7eddc995f285f948cac60d9fa34a74b0955b8a84a950aba9eb7f7303b3fab
Homepage: https://cran.r-project.org/package=geodrawr
Description: CRAN Package 'geodrawr' (Making Geospatial Objects)
 Draw geospatial objects by clicks on the map.  This packages can help data
 analyst who want to check their own geospatial hypothesis but has no
 ready-made geospatial objects.

Package: r-cran-geodregr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-zipfr
Filename: pool/dists/focal/main/r-cran-geodregr_0.2.0-1.ca2004.1_all.deb
Size: 145416
MD5sum: 7c8bab85bd619a2116ab548a2a2b8325
SHA1: 86be2e1600b27c4dad0a2d2132a0c634ed26b07a
SHA256: 0d962f905f1d85641fb799b078aab81926edd2480fc46cacf157ee23d6e61c99
SHA512: dc5fc221d9d9b628b21c799082a98ae070314934e8b914aa88543b75a1467499fe7cc477935398c047ea9cc62b29984a9ce532ff72b0ce232615f0a37fe83fb7
Homepage: https://cran.r-project.org/package=GeodRegr
Description: CRAN Package 'GeodRegr' (Geodesic Regression)
 Provides a gradient descent algorithm to find a geodesic relationship
 between real-valued independent variables and a manifold-valued dependent
 variable (i.e. geodesic regression). Available manifolds are Euclidean
 space, the sphere, hyperbolic space, and Kendall's 2-dimensional shape
 space. Besides the standard least-squares loss, the least absolute
 deviations, Huber, and Tukey biweight loss functions can also be used to
 perform robust geodesic regression. Functions to help choose appropriate
 cutoff parameters to maintain high efficiency for the Huber and Tukey
 biweight estimators are included, as are functions for generating random
 tangent vectors from the Riemannian normal distributions on the sphere and
 hyperbolic space. The n-sphere is a n-dimensional manifold: we represent it
 as a sphere of radius 1 and center 0 embedded in (n+1)-dimensional space.
 Using the hyperboloid model of hyperbolic space, n-dimensional hyperbolic
 space is embedded in (n+1)-dimensional Minkowski space as the upper sheet of
 a hyperboloid of two sheets. Kendall's 2D shape space with K landmarks is of
 real dimension 2K-4; preshapes are represented as complex K-vectors with
 mean 0 and magnitude 1. Details are described in Shin, H.-Y. and Oh, H.-S.
 (2020) <arXiv:2007.04518>. Also see Fletcher, P. T. (2013)
 <doi:10.1007/s11263-012-0591-y>.

Package: r-cran-geoelectrics
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3446
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-rgl, r-cran-fields
Suggests: r-cran-testthat, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-geoelectrics_0.2.2-1.ca2004.1_all.deb
Size: 848488
MD5sum: 2481b208624ee3adbddcaeaeeadd18c8
SHA1: 59cc3c95e9aecd3893075e0f6a3f411cea3a7041
SHA256: 27c921733e2d9268b94e25f8f8b1bf0df25d7b8b0c2d8636e3ab90bf61264f51
SHA512: cbaf430d9572552af59e2053e85d71fbb9cc376e2803cdcaf55e9caa56c2ae3d11104d029ec0f3a8ef8b7fc44948cfd18a5add2b9cd7fbcf22929b11e8145b5a
Homepage: https://cran.r-project.org/package=geoelectrics
Description: CRAN Package 'geoelectrics' (3D-Visualization of Geoelectric Resistivity Measurement Profiles)
 Visualizes two-dimensional geoelectric resistivity measurement profiles in
 three dimensions.

Package: r-cran-geofabrik
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-geofabrik_0.1.0-1.ca2004.1_all.deb
Size: 28600
MD5sum: 25d8549fdea49f57b4665a07343b4a50
SHA1: 5c29e61bb936744c909ff0f8dedd9ffa75c304fa
SHA256: dd76939bc1f3482822cd27465ba8ff0845237fb381838fe1e567cdbd268ef545
SHA512: 2b1b2309802a32a8cd7015b9fcc381efb5a8fe75f0e8eb5516b1f552bf3ac07717266f965f38014a1da2e549ba9b0d5ed71c954535e1c93c964982b3245f3f29
Homepage: https://cran.r-project.org/package=geofabrik
Description: CRAN Package 'geofabrik' (Downloading Open Street Map Data)
 Download 'OpenStreetMap' data from 'geofabrik' servers
 <https://download.geofabrik.de/>. This approach uses only the direct link
 downloads. Besides, this package does not import any external package.

Package: r-cran-geofacet
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1801
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-rnaturalearth, r-cran-sp, r-cran-ggrepel, r-cran-gridextra, r-cran-geogrid, r-cran-rlang, r-cran-httr2
Suggests: r-cran-sf, r-cran-testthat, r-cran-covr, r-cran-lintr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geofacet_0.2.4-1.ca2004.1_all.deb
Size: 1194532
MD5sum: 6f30341c1b7297bd7ee78e4e71e03bb5
SHA1: bc15cdc01ee22a69b4364064c4ab60420c89eddd
SHA256: 7506db27ac1574f287a1bb0bd0d96bcba0b2713b69b94c85eed1ef22edf9fd01
SHA512: 551da82a764e8fd5f46cf3b2e91bacf0ae301c84387f8ebc39a8b7b3ac774060bc856b54c36d75b5c614e9bc98d2900396ae65a70a0981c205168c60b799ccd1
Homepage: https://cran.r-project.org/package=geofacet
Description: CRAN Package 'geofacet' ('ggplot2' Faceting Utilities for Geographical Data)
 Provides geographical faceting functionality for 'ggplot2'.  Geographical
 faceting arranges a sequence of plots of data for different geographical
 entities into a grid that preserves some of the geographical orientation.

Package: r-cran-geofd
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda
Filename: pool/dists/focal/main/r-cran-geofd_2.0-1.ca2004.1_all.deb
Size: 139920
MD5sum: cc64a0ba821cdc32e52e0f7c2f3cb1d5
SHA1: f6b91b1a5b3e52d34558f079d85bc6f15e366580
SHA256: d91bf04dedfcb9659231dca9f50567a8171c6fdbaec905508cafc0b5a02a3c38
SHA512: 90f38209e86cd0a9b8db2b6fe84e83355e76f0cac553e57f6878f57b0d5d99a8738ff64bf5a580b63411a25852759db958e7973f13ff98469a9f6679dd7b5dd3
Homepage: https://cran.r-project.org/package=geofd
Description: CRAN Package 'geofd' (Spatial Prediction for Function Value Data)
 Kriging based methods are used for predicting functional data (curves) with
 spatial dependence.

Package: r-cran-geofi
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4775
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httpcache, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-xml2, r-cran-yaml
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggrepel, r-cran-geofacet, r-cran-htmltools, r-cran-httptest, r-cran-janitor, r-cran-knitr, r-cran-leaflet, r-cran-patchwork, r-cran-readr, r-cran-rmarkdown, r-cran-sotkanet, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-geofi_1.1.0-1.ca2004.1_all.deb
Size: 3213160
MD5sum: e93be0c3bdaa8aa3740323b82cd8e63f
SHA1: 8a80e6c61ab6e6cd6d967e723a23cc859ac7f69d
SHA256: 5a5c621e1bd23b80b5617b340f8e03b66032e90a340b83fde1685b329e20b848
SHA512: 63d5c08ceb17a1a587e0b0671c30980279409f56418d89b5986439bc5a4d687d8ccb412305d6a7e264d535c682310c2841f0906a89306207ba91e585facaea06
Homepage: https://cran.r-project.org/package=geofi
Description: CRAN Package 'geofi' (Access Finnish Geospatial Data)
 Designed to simplify geospatial data access from the Statistics Finland Web
 Feature Service API <https://geo.stat.fi/geoserver/index.html>, the geofi
 package offers researchers and analysts a set of tools to obtain and
 harmonize administrative spatial data for a wide range of applications, from
 urban planning to environmental research. The package contains annually
 updated time series of municipality key datasets that can be used for data
 aggregation and language translations.

Package: r-cran-geogam
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4787
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mboost, r-cran-mgcv, r-cran-grpreg, r-cran-mass
Suggests: r-cran-raster, r-cran-sp
Filename: pool/dists/focal/main/r-cran-geogam_0.1-3-1.ca2004.1_all.deb
Size: 4841576
MD5sum: 51d929bfc9520e09d992e44121c6dc52
SHA1: 6fb23f8e5835c9471c4334bdd42707435741bc9f
SHA256: 3459159a667e6719215175feae924cfa8cb426a00357cc257494b1e4c6a01e98
SHA512: 0f0dd87c7ba4c3ef3b0f1174fa141c9ca5990a5b5b103c00b68693c96250684da55f091c5195ef04788969060b42fcff5c5d7d3f7249ef2845a895c2d10c1d27
Homepage: https://cran.r-project.org/package=geoGAM
Description: CRAN Package 'geoGAM' (Select Sparse Geoadditive Models for Spatial Prediction)
 A model building procedure to build parsimonious geoadditive model from a
 large number of covariates. Continuous, binary and ordered categorical
 responses are supported. The model building is based on component wise
 gradient boosting with linear effects, smoothing splines and a smooth
 spatial surface to model spatial autocorrelation. The resulting covariate
 set after gradient boosting is further reduced through backward elimination
 and aggregation of factor levels. The package provides a model based
 bootstrap method to simulate prediction intervals for point predictions. A
 test data set of a soil mapping case study in Berne (Switzerland) is
 provided. Nussbaum, M., Walthert, L., Fraefel, M., Greiner, L., and Papritz,
 A. (2017) <doi:10.5194/soil-3-191-2017>.

Package: r-cran-geogenr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6896
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-geomultistar, r-cran-httr, r-cran-readr, r-cran-rolap, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-dbi, r-cran-dbplyr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dm, r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-rsqlite, r-cran-snakecase, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geogenr_2.0.1-1.ca2004.1_all.deb
Size: 4852232
MD5sum: c1b94336f71fb5d8c393ca83adcf479e
SHA1: b77c7ec7b2e284f5f60c8a3893b1282ad675a67d
SHA256: c8173060bb3f78f45cef89fb6ebdd7a06667d6e96cecc9334a63c0cc35dd497e
SHA512: 551485763ea26445b26e05dcd5ddddb4bc70d507eb3951208b4f4f8aa76308729f02f96b37abddb84def7b68252b192985ef7acb5c99e9ab1f3d69b9a432e3c1
Homepage: https://cran.r-project.org/package=geogenr
Description: CRAN Package 'geogenr' (Generator from American Community Survey Geodatabases)
 The American Community Survey (ACS)
 <https://www.census.gov/programs-surveys/acs> offers geodatabases with
 geographic information and associated data of interest to researchers in the
 area. The goal of this package is to generate objects that allow us to
 access and consult the information available in various formats, such as in
 'GeoPackage' format or in multidimensional 'ROLAP' (Relational On-Line
 Analytical Processing) star format.

Package: r-cran-geohabnet
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2523
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-config, r-cran-geosphere, r-cran-igraph, r-cran-terra, r-cran-yaml, r-cran-stringr, r-cran-memoise, r-cran-viridislite, r-cran-beepr, r-cran-rnaturalearth, r-cran-future.apply, r-cran-future, r-cran-magrittr, r-cran-ggplot2, r-cran-patchwork
Suggests: r-cran-devtools, r-cran-knitr, r-cran-lintr, r-cran-mockthat, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geohabnet_2.2-1.ca2004.1_all.deb
Size: 781748
MD5sum: 748af50c825808c47158d7a5759840ed
SHA1: 98055c478a8a4b1527b0ff95f21fab9691514a7e
SHA256: 23487d712031a9126eb5d2388145ab24354edd9a077cd4f9de89d59140afa476
SHA512: 57f8cde39eda99a26504542643cdf7f01aea3f96f77ef21f3e27fbf0c819280a41dee10ea954ba97e238968820e7b3700ffa1bb42f452b88d15ed1a1842f3d93
Homepage: https://cran.r-project.org/package=geohabnet
Description: CRAN Package 'geohabnet' (Geographical Risk Analysis Based on Habitat Connectivity)
 The 'geohabnet' package is designed to perform a geographically or spatially
 explicit risk analysis of habitat connectivity. Xing et al (2021)
 <doi:10.1093/biosci/biaa067> proposed the concept of cropland connectivity
 as a risk factor for plant pathogen or pest invasions. As the functions in
 'geohabnet' were initially developed thinking on cropland connectivity,
 users are recommended to first be familiar with the concept by looking at
 the Xing et al paper. In a nutshell, a habitat connectivity analysis
 combines information from maps of host density, estimates the relative
 likelihood of pathogen movement between habitat locations in the area of
 interest, and applies network analysis to calculate the connectivity of
 habitat locations.  The functions of 'geohabnet' are built to conduct a
 habitat connectivity analysis relying on geographic parameters (spatial
 resolution and spatial extent), dispersal parameters (in two commonly used
 dispersal kernels: inverse power law and negative exponential models), and
 network parameters (link weight thresholds and network metrics).  The
 functionality and main extensions provided by the functions in 'geohabnet'
 to habitat connectivity analysis are a) Capability to easily calculate the
 connectivity of locations in a landscape using a single function, such as
 sensitivity_analysis() or msean().  b) As backbone datasets, the 'geohabnet'
 package supports the use of two publicly available global datasets to
 calculate cropland density. The backbone datasets in the 'geohabnet' package
 include crop distribution maps from Monfreda, C., N. Ramankutty, and J. A.
 Foley (2008) <doi:10.1029/2007gb002947> "Farming the planet: 2. Geographic
 distribution of crop areas, yields, physiological types, and net primary
 production in the year 2000, Global Biogeochem. Cycles, 22, GB1022" and
 International Food Policy Research Institute (2019) <doi:10.7910/DVN/PRFF8V>
 "Global Spatially-Disaggregated Crop Production Statistics Data for 2010
 Version 2.0, Harvard Dataverse, V4". Users can also provide any other
 geographic dataset that represents host density.  c) Because the 'geohabnet'
 package allows R users to provide maps of host density (as originally in
 Xing et al (2021)), host landscape density (representing the geographic
 distribution of either crops or wild species), or habitat distribution (such
 as host landscape density adjusted by climate suitability) as inputs, we
 propose the term habitat connectivity.  d) The 'geohabnet' package allows R
 users to customize parameter values in the habitat connectivity analysis,
 facilitating context-specific (pathogen- or pest-specific) analyses.  e) The
 'geohabnet' package allows users to automatically visualize maps of the
 habitat connectivity of locations resulting from a sensitivity analysis
 across all customized parameter combinations.  The primary functions are
 msean() and sensitivity analysis().  Most functions in 'geohabnet' provide
 three main outcomes: i) A map of mean habitat connectivity across parameters
 selected by the user, ii) a map of variance of habitat connectivity across
 the selected parameters, and iii) a map of the difference between the ranks
 of habitat connectivity and habitat density.  Each function can be used to
 generate these maps as 'final' outcomes.  Each function can also provide
 intermediate outcomes, such as the adjacency matrices built to perform the
 analysis, which can be used in other network analysis.  Refer to article at
 <https://garrettlab.github.io/HabitatConnectivity/articles/analysis.html> to
 see examples of each function and how to access each of these outcome types.
 To change parameter values, the file called 'parameters.yaml' stores the
 parameters and their values, can be accessed using 'get_parameters()' and
 set new parameter values with 'set_parameters()'.  Users can modify up to
 ten parameters.

Package: r-cran-geoheatmap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4944
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geofacet, r-cran-statebins, r-cran-ggplot2, r-cran-plotly, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-viridislite, r-cran-testthat, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-geoheatmap_0.1.0-1.ca2004.1_all.deb
Size: 1766936
MD5sum: 9c8d80dd6e49158496e9ab58981c5e55
SHA1: 8ec012255b5cbccaad849c377cf31313c5aecd64
SHA256: a6f9be81be961ac08dc50288dc35540203f8df595ef9a52560e9c29765100360
SHA512: d4a73e5c238765e6763f91399e9e1a7961cb64d1509bbd1056485f57d93d5a37e3349a9022c93455df61970b45bec341172c1b8e1dc1d1184e248f21ffd71ae5
Homepage: https://cran.r-project.org/package=geoheatmap
Description: CRAN Package 'geoheatmap' (Create Geospatial Cartogram Heatmaps)
 The functionality provided by this package is an expansion of the code of
 the 'statebins' package, created by B. Rudis (2022),
 <doi:10.32614/CRAN.package.statebins>. It allows for the creation of square
 choropleths for the entire world, provided an appropriate specified grid is
 supplied.

Package: r-cran-geoidep
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4371
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-sf, r-cran-archive, r-cran-tidyr, r-cran-cli, r-cran-jsonlite, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-leaflet, r-cran-leaflet.extras, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geoidep_0.3.0-1.ca2004.1_all.deb
Size: 1455416
MD5sum: 5b6cc26db6f95399e801ae382902972f
SHA1: 494182be60b029c058fc2f19360de817e61a0d0a
SHA256: 517cbff76219a177f065ece27a7a114f062b0bb1f4d85c7d1a81e622af353ec2
SHA512: 5bb0af66b93244e3dacf74cca697f1b86b946d5990b1b7844a48f3188965cafb7db7ec4f444e714430c584603588e6b9a0d4f265d9e36157bff700586019c486
Homepage: https://cran.r-project.org/package=geoidep
Description: CRAN Package 'geoidep' (Download Geographic Data on Various Topics Provided and Managedby the Spatial Data Infrastructure of Peru)
 Provides R users with easy access to official cartographic data from Peru
 across a range of topics, including society, transport, environment,
 agriculture, climate, and more.  It also includes data from regional
 government entities and technical-scientific institutions, all managed by
 Peru's Spatial Data Infrastructure.  For more information, please visit:
 <https://www.geoidep.gob.pe/catalogos-de-metadatos>.

Package: r-cran-geojson
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2167
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-jsonlite, r-cran-protolite, r-cran-jqr, r-cran-magrittr, r-cran-lazyeval
Suggests: r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-stringi, r-cran-covr
Filename: pool/dists/focal/main/r-cran-geojson_0.3.5-1.ca2004.1_all.deb
Size: 1029512
MD5sum: 64d7797ecbe308a6c07ea5664203deaa
SHA1: 8ddaf6b6fc45f31a13daa5b55ffc168b82d0eb92
SHA256: 5aca3de574497b433121924cf75cb0b8a1c68755f0ffe5db524f729acdff5d1b
SHA512: b80b184a58b4171cd2a7a01770ca826e877adf544e9e17010c37ebba3ebfa2ac0c812c5d9fac44ba0dfac11bf1ad5a757eb24e080efec50e1c1ebbe83ee04ad1
Homepage: https://cran.r-project.org/package=geojson
Description: CRAN Package 'geojson' (Classes for 'GeoJSON')
 Classes for 'GeoJSON' to make working with 'GeoJSON' easier.  Includes S3
 classes for 'GeoJSON' classes with brief summary output, and a few methods
 such as extracting and adding bounding boxes, properties, and coordinate
 reference systems; working with newline delimited 'GeoJSON'; and serializing
 to/from 'Geobuf' binary 'GeoJSON' format.

Package: r-cran-geojsonio
Architecture: all
Version: 0.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2522
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crul, r-cran-geojson, r-cran-geojsonsf, r-cran-jqr, r-cran-jsonlite, r-cran-magrittr, r-cran-readr, r-cran-sf, r-cran-sp, r-cran-v8
Suggests: r-cran-covr, r-cran-dbi, r-cran-gistr, r-cran-leaflet, r-cran-maps, r-cran-rpostgres, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-geojsonio_0.11.3-1.ca2004.1_all.deb
Size: 711740
MD5sum: b32a1b18b3097bacc7c5cb16607d3305
SHA1: 425074bbf15ff9f08f872b1f61f4eef5528ba91f
SHA256: 8c57050511eda97fac45eddf3814c5b4595044404df2ccd06ade773aa2994947
SHA512: c6fa14a85e5eabc060e5d4ff9ed189017fb1738304f32a2734741d6f2ec1a765b07df32d51290b66b8db7b69d554f6c6f0031ef3dd5363092b3b9c6f7cffe0fd
Homepage: https://cran.r-project.org/package=geojsonio
Description: CRAN Package 'geojsonio' (Convert Data from and to 'GeoJSON' or 'TopoJSON')
 Convert data to 'GeoJSON' or 'TopoJSON' from various R classes, including
 vectors, lists, data frames, shape files, and spatial classes.  'geojsonio'
 does not aim to replace packages like 'sp', 'rgdal', 'rgeos', but rather
 aims to be a high level client to simplify conversions of data from and to
 'GeoJSON' and 'TopoJSON'.

Package: r-cran-geojsonlint
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2371
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-v8
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geojsonlint_0.4.0-1.ca2004.1_all.deb
Size: 700908
MD5sum: 8a97c8062a82a734fcea10be90f72dd0
SHA1: 855cd0047d044e01a22b221d5691214015447496
SHA256: 9320090db1d504e149acc6385519a64282490aebc1044a86533f85407d3e29b9
SHA512: c3f491dcdf63c7e7dd27bbccaa522c96a3318eecbae0be6a38d7d2c80019eedeeb378e3137e2f2fa4a5c6ecc4dbf861617f32861720a5375b30e152ba7eab428
Homepage: https://cran.r-project.org/package=geojsonlint
Description: CRAN Package 'geojsonlint' (Tools for Validating 'GeoJSON')
 Tools for linting 'GeoJSON'. Includes tools for interacting with the online
 tool <http://geojsonlint.com>, the 'Javascript' library 'geojsonhint'
 (<https://www.npmjs.com/package/geojsonhint>), and validating against a
 'GeoJSON' schema via the 'Javascript' library
 (<https://www.npmjs.com/package/is-my-json-valid>). Some tools work locally
 while others require an internet connection.

Package: r-cran-geoknife
Architecture: all
Version: 1.6.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1542
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-whisker, r-cran-xml2, r-cran-httr, r-cran-curl, r-cran-progress, r-cran-sf
Suggests: r-cran-testthat, r-cran-xtable, r-cran-knitr, r-cran-rmarkdown, r-cran-ggmap, r-cran-dplyr, r-cran-rastervis, r-cran-ggplot2, r-cran-sp, r-cran-raster
Filename: pool/dists/focal/main/r-cran-geoknife_1.6.11-1.ca2004.1_all.deb
Size: 601208
MD5sum: 0c70ac3204ddc538c76dd4f163e43759
SHA1: 6e6e5e5834bfd979f22d9479b21956c756e83714
SHA256: b4e55b8805fc89a72166ff20d916072495c4bda95cf4e23fefdc6bd4bdc03d32
SHA512: 00bfa87fd18cf9b84bf8b80a481fad609465b0de91164c1caea93e78be7cdc89b2c2f41b86b50f655ac3d20a0fce0737e0e2dc335c09e83ab8414e51006ca534
Homepage: https://cran.r-project.org/package=geoknife
Description: CRAN Package 'geoknife' (Web-Processing of Large Gridded Datasets)
 Processes gridded datasets found on the U.S. Geological Survey Geo Data
 Portal web application or elsewhere, using a web-enabled workflow that
 eliminates the need to download and store large datasets that are reliably
 hosted on the Internet. The package provides access to several data subset
 and summarization algorithms that are available on remote web processing
 servers (Read et al. (2015) <doi:10.1111/ecog.01880>).

Package: r-cran-geomapdata
Architecture: all
Version: 2.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1277
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-geomap
Filename: pool/dists/focal/main/r-cran-geomapdata_2.0-2-1.ca2004.1_all.deb
Size: 1273964
MD5sum: d85054a4a65d695f239ac0f5a371c1b7
SHA1: 565947438c8c24e8f46bd0c0f18d83f5aac75cf1
SHA256: 039e25a9bd7175bc9238ae2807fe5a976cee414df8eb655d70a45af9856e267f
SHA512: d9044f4f44351278e8d29285aecf55e9ba2e545ebfc4dccc6986ab0c5be2771c722866f3ae49ec73d654a36facf2958fed6265a03d7748cf5f3a6b15c3020fff
Homepage: https://cran.r-project.org/package=geomapdata
Description: CRAN Package 'geomapdata' (Data for Topographic and Geologic Mapping)
 Data sets included here are for use with package GEOmap. These include world
 map, USA map, Coso map, Japan Map.

Package: r-cran-geomarchetypal
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 640
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-geometry, r-cran-archetypal, r-cran-doparallel, r-cran-plot3d, r-cran-distances, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-mirai, r-cran-abind, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geomarchetypal_1.0.3-1.ca2004.1_all.deb
Size: 571648
MD5sum: 9254842728fc11dc898ed1567de1bc56
SHA1: aed9a87943e8a319739dd5216ade10cb19a45a72
SHA256: 1052aff003baaefa692e15d6c8f77f83f7a4c5bb99670efcb431b6c2499dffd1
SHA512: 2132bf387cc73aeef6b798ca1ff00c18bca56464e1d2502d5a769d6df986ad793fc0ad0f14e6a6a56230edaae8affb84416f1cfde4090436ed94c4ddc33d5433
Homepage: https://cran.r-project.org/package=GeomArchetypal
Description: CRAN Package 'GeomArchetypal' (Finds the Geometrical Archetypal Analysis of a Data Frame)
 Performs Geometrical Archetypal Analysis after creating Grid Archetypes
 which are the Cartesian Product of all minimum, maximum variable values.
 Since the archetypes are fixed now, we have the ability to compute the
 convex composition coefficients for all our available data points much
 faster by using the half part of Principal Convex Hull Archetypal method.
 Additionally we can decide to keep as archetypes the closer to the Grid
 Archetypes ones. Finally the number of archetypes is always 2 to the power
 of the dimension of our data points if we consider them as a vector space.
 Cutler, A., Breiman, L. (1994) <doi:10.1080/00401706.1994.10485840>.  Morup,
 M., Hansen, LK. (2012) <doi:10.1016/j.neucom.2011.06.033>.  Christopoulos,
 DT. (2024) <doi:10.13140/RG.2.2.14030.88642>.

Package: r-cran-geomaroc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geomaroc_0.1.1-1.ca2004.1_all.deb
Size: 37896
MD5sum: c08ff5c67b5afa6045776923c234efe2
SHA1: f50041f74632c9c751cc0b3c3481e5d3a8069ca7
SHA256: f2ae938ad9f90d0e1693a8d90293f58a9f2f8f21f945aa5ffb102339badb138d
SHA512: 2a40f0dc617675c691bed72a46c5a9b5770a257c35f1b981ceb520b443a8d520b9697cc6faf0433e639ef1cb4e7fc8ddfc9b6386b8618e6270641fc4fe8e99c8
Homepage: https://cran.r-project.org/package=geomaroc
Description: CRAN Package 'geomaroc' (Easily Visualize Geographic Data of Morocco)
 Tools to easily visualize geographic data of Morocco.  This package
 interacts with data available through the 'geomarocdata' package, which is
 available in a 'drat' repository.  The size of the 'geomarocdata' package is
 approximately 12 MB.

Package: r-cran-geomcomb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-forecastcombinations, r-cran-ggplot2, r-cran-matrix, r-cran-mtsdi, r-cran-psych
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geomcomb_1.0-1.ca2004.1_all.deb
Size: 162628
MD5sum: 2b63d9bf83fe5c284a8e3903eea4ed00
SHA1: 25513c654c261135d69ef06f2805a27976be8ca9
SHA256: 6dd5ca59f2ac072b18c27f62e80a5d17ca2eb68e4ed11770a0f09065f6357140
SHA512: 024b437eb805ee6d76f72b4bfd2a6e578f74657a25f25ba368c1f8e479768fd14a8db8d8cb6eb3dc58a9c5d3f2786759661c903bc32c5df64475f0ecbb7edca1
Homepage: https://cran.r-project.org/package=GeomComb
Description: CRAN Package 'GeomComb' ((Geometric) Forecast Combination Methods)
 Provides eigenvector-based (geometric) forecast combination methods; also
 includes simple approaches (simple average, median, trimmed and winsorized
 mean, inverse rank method) and regression-based combination. Tools for data
 pre-processing are available in order to deal with common problems in
 forecast combination (missingness, collinearity).

Package: r-cran-geomedb
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-geomedb_2.0.1-1.ca2004.1_all.deb
Size: 53596
MD5sum: 64511bef97fe858e889110f2d563bbc6
SHA1: 1b1c1dd4da3e962c84a9e0d28b8a05c4b339602b
SHA256: 04d5a32d41c889f2edfc33b330bf9f300a68b648c9221c79d0c7ca6b2d4faf19
SHA512: 4561ac894a754eff5da49df25b8ccb58e85a90ffc85678eff351f61a8a17d421afa5297b70c251b0cb4ca160f07fe41692eab60e111b0731817779a90b0cbe9d
Homepage: https://cran.r-project.org/package=geomedb
Description: CRAN Package 'geomedb' (Functions for Fetching 'GeOMe-db' Data)
 The Genomic Observatory Metadatabase (GeOMe Database) is an open access
 repository for geographic and ecological metadata associated with sequenced
 samples. This package is used to retrieve GeOMe data for analysis. See
 <http://www.geome-db.org> for more information regarding GeOMe.

Package: r-cran-geomerge
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1628
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-spdep, r-cran-raster, r-cran-terra, r-cran-sf, r-cran-geosphere, r-cran-lubridate, r-cran-ggplot2, r-cran-gridextra, r-cran-scales
Filename: pool/dists/focal/main/r-cran-geomerge_0.3.4-1.ca2004.1_all.deb
Size: 1634456
MD5sum: 756b77aa70659793fb4ebd91eb1323dc
SHA1: 3cc03f95a1d7248fe7e79198c57a9482251f339a
SHA256: a5c2c4405a7207a57bf9a7a85942f85b1529fa7cee387e03d746fc73f0a4aa50
SHA512: 4bcba4ef96db6e07d5e1a5c852a632ce123557664079c7d490bfba501d2697fcf5456ae5a7e771885f5231c77f9e8cd091b6462136a68488148f186c7b9145f1
Homepage: https://cran.r-project.org/package=geomerge
Description: CRAN Package 'geomerge' (Geospatial Data Integration)
 Geospatial data integration framework that merges raster, spatial polygon,
 and (dynamic) spatial points data into a spatial (panel) data frame at any
 geographical resolution.

Package: r-cran-geometa
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 21900
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-xml, r-cran-httr, r-cran-jsonlite, r-cran-keyring, r-cran-readr, r-cran-crayon
Suggests: r-cran-sf, r-cran-ncdf4, r-cran-eml, r-cran-emld, r-cran-units, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-geometa_0.9.2-1.ca2004.1_all.deb
Size: 8255144
MD5sum: ab5f36d8448c769ca32542790bf62f5e
SHA1: 602aa836419046fda0642435604fe4a86b8ba9da
SHA256: c54ae77d4441477db109f15a2d6406da704801135bdadc9b995001677a48df03
SHA512: cc56d757cc0358e047164c1d0ea0ad630c87263dc029af77225bd42edbbc7c5a882b38e9db89c21246f87a395ff75b01cfda8776a03ecb348295e40a8b423dd8
Homepage: https://cran.r-project.org/package=geometa
Description: CRAN Package 'geometa' (Tools for Reading and Writing ISO/OGC Geographic Metadata)
 Provides facilities to read, write and validate geographic metadata defined
 with ISO TC211 / OGC ISO geographic information metadata standards, and
 encoded using the ISO 19139 and ISO 19115-3 (XML) standard technical
 specifications.  This includes ISO 19110 (Feature cataloguing), 19115
 (dataset metadata), 19119 (service metadata) and 19136 (GML). Other
 interoperable schemas from the OGC are progressively supported as well, such
 as the Sensor Web Enablement (SWE) Common Data Model, the OGC GML Coverage
 Implementation Schema (GMLCOV), or the OGC GML Referenceable Grid
 (GMLRGRID).

Package: r-cran-geomod
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-caret, r-cran-rastervis, r-cran-randomforest, r-cran-arm, r-cran-kernlab, r-cran-e1071, r-cran-cubist, r-cran-rpart, r-cran-ranger, r-cran-qrnn, r-cran-quantregforest, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-geomod_0.1.0-1.ca2004.1_all.deb
Size: 115424
MD5sum: 3cb992b489f82fc5ad2cda5a3fe76622
SHA1: b701050b31822b2e5e05e6cb26cbd30dc33be624
SHA256: 376a619ff441df6ece70f098dbbecf4cddd2795a013b5db76879de8988bdb127
SHA512: 3e4ed1f2e99576410cbac7a2b186d62bc12c1ba284f02f994b119e890e1eea7ace43aab8858bd7957a505b3ccbed41d4febd2b8eb25edd210ecda5402434b25d
Homepage: https://cran.r-project.org/package=geomod
Description: CRAN Package 'geomod' (A Computer Program for Geotechnical Investigations)
 The 'geomod' does spatial prediction of the Geotechnical soil properties.
 It predicts the spatial distribution of Geotechnical properties of soil e.g.
 shear strength, permeability, plasticity index, Standard Penetration Test
 (SPT) counts, etc. The output of the prediction takes the form of a map or a
 series of maps. It uses the interpolation technique where a single or
 statistically “best” estimate of spatial occurrence soil property is
 determined. The interpolation is based on both the sampled data and a
 variogram model for the spatial correlation of the sampled data.  The single
 estimate is produced by a Kriging technique.

Package: r-cran-geomongo
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-r6, r-cran-geojsonr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geomongo_1.0.3-1.ca2004.1_all.deb
Size: 300744
MD5sum: 9b3dcaaa75ad923f01f8332d7cc77fd9
SHA1: bf9c3260a7d9f49774f90729feffce2f201f8aca
SHA256: 9382657237a4619fc7a60d8dadd7359d7e9b203d582cfd2dd76291d4baef5015
SHA512: 66bc1234cb07a71d7cf1e9efe9c628eb476f8b7b1c51f583b1390eea9dd9086af5e31853f2ea0889b0ce5f48ba16e74511453290c32030f25b3fabe4bf1316f5
Homepage: https://cran.r-project.org/package=GeoMongo
Description: CRAN Package 'GeoMongo' (Geospatial Queries Using 'PyMongo')
 Utilizes methods of the 'PyMongo' 'Python' library to initialize, insert and
 query 'GeoJson' data (see <https://github.com/mongodb/mongo-python-driver>
 for more information on 'PyMongo'). Furthermore, it allows the user to
 validate 'GeoJson' objects and to use the console for 'MongoDB' (bulk)
 commands. The 'reticulate' package provides the 'R' interface to 'Python'
 modules, classes and functions.

Package: r-cran-geomorph
Architecture: all
Version: 4.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3493
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rrpp, r-cran-rgl, r-cran-matrix, r-cran-jpeg, r-cran-ape, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-geomorph_4.0.10-1.ca2004.1_all.deb
Size: 3053288
MD5sum: aabd00cc85471be0fa1c4ff4d43b3e87
SHA1: 38ffd50fd707c2a10ad2da1256c72b72c2f49285
SHA256: 424063a981a18b03be533b7ee8365d379fda483a0cd3591e8010dbe9f4094dda
SHA512: 8939f144b4685bc9f41def4a177f43f15ff6340ee8e80e2ff876fad0ca52aa70c5bff12df2c3aeb3ebd13c0a87cebf16df80b3cae8ff7a1eb01b8c90a26f7ae5
Homepage: https://cran.r-project.org/package=geomorph
Description: CRAN Package 'geomorph' (Geometric Morphometric Analyses of 2D and 3D Landmark Data)
 Read, manipulate, and digitize landmark data, generate shape variables via
 Procrustes analysis for points, curves and surfaces, perform shape analyses,
 and provide graphical depictions of shapes and patterns of shape variation.

Package: r-cran-geomtextpath
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3329
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-systemfonts, r-cran-rlang, r-cran-textshaping
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ragg, r-cran-roxygen2, r-cran-sf, r-cran-xml2, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-geomtextpath_0.1.5-1.ca2004.1_all.deb
Size: 2755968
MD5sum: 584f60754c6af052a2bc3d29fb5f12b9
SHA1: b519b038a6f5fcc25e7d4d72c06ebb505493c54d
SHA256: c8c33e7a7f36039e5324229412abf1d02ad8be57c6acaf5b53675ab1c15abfd2
SHA512: 402187d330d490d3b4e8ef872799ddf5a8ea8b6a5a89a915f01d128a025f4ae7990693f3ba33279278d9c6f26f2336c28b40b302e232f0f35068ad59e0e36370
Homepage: https://cran.r-project.org/package=geomtextpath
Description: CRAN Package 'geomtextpath' (Curved Text in 'ggplot2')
 A 'ggplot2' extension that allows text to follow curved paths.  Curved text
 makes it easier to directly label paths or neatly annotate in polar
 co-ordinates.

Package: r-cran-geomultistar
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-rlang, r-cran-rsqlite, r-cran-sf, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geomultistar_1.2.2-1.ca2004.1_all.deb
Size: 747980
MD5sum: ed13c47e11bb452b23563b534d4d9bf1
SHA1: f2577d8282ff4e2cd1ac3ed651a66b592b669224
SHA256: 5b7ff080cf2e891435f3eeb9169e55356409430436c7bf17753f4708845e7a6c
SHA512: 0a550d9fa7a79b7415bce191af7e6f15dbd6d7ad23f218283d5a62330029a81d0a2dbf4ffbbfaff67f1b05a3d1abaf6bb3a1f772c5f1a6748fb6cd54e41899b9
Homepage: https://cran.r-project.org/package=geomultistar
Description: CRAN Package 'geomultistar' (Multidimensional Queries Enriched with Geographic Data)
 Multidimensional systems allow complex queries to be carried out in an easy
 way. The geographical dimension, together with the temporal dimension, plays
 a fundamental role in multidimensional systems. Through this package, vector
 geographic data layers can be associated to the attributes of geographic
 dimensions, so that the results of multidimensional queries can be obtained
 directly as vector layers.  The multidimensional structures on which we can
 define the queries can be created from a flat table or imported directly
 using functions from this package.

Package: r-cran-geonames
Architecture: all
Version: 0.999-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-geonames_0.999-1.ca2004.1_all.deb
Size: 61280
MD5sum: c118d4291763d4f4c267e2f69b8af60d
SHA1: 223211e7ce78188804db8e69eba11b8ccc8242fe
SHA256: 5b2386090f61e5f7d1ffdfbd11dbda7de9a5f45aea1874743aa19b99e36c3b13
SHA512: fcc2b128bb72dd2ff4d8d132ad3ef13253117e86cf1fa7b5ca4dad6b5e0ad30730266ccc015d774cc8b260cfc80b504320b9304294969aa3a8e4e4d6e79b8243
Homepage: https://cran.r-project.org/package=geonames
Description: CRAN Package 'geonames' (Interface to the "Geonames" Spatial Query Web Service)
 The web service at <https://www.geonames.org/> provides a number of spatial
 data queries, including administrative area hierarchies, city locations and
 some country postal code queries. A (free) username is required and rate
 limits exist.

Package: r-cran-geonapi
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geometa, r-cran-keyring, r-cran-r6, r-cran-openssl, r-cran-httr, r-cran-xml, r-cran-plyr
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-geonapi_0.8-1.ca2004.1_all.deb
Size: 379160
MD5sum: 138e2d4db30f0ea857197f0910059b41
SHA1: 59a46361fb1131058383f77411aa29031d468d1b
SHA256: 5b5693d28b80d01effac8b287ca0da6f2722d06447ebe28446ed62b8281f42ae
SHA512: d75926c6710e89378a5da0df2aadaba104feb7e67044807fd51ac803a30f62125064bc791be9349a9750d0520c47da623b79de3afe5f973f45a144904f0d52a4
Homepage: https://cran.r-project.org/package=geonapi
Description: CRAN Package 'geonapi' ('GeoNetwork' API R Interface)
 Provides an R interface to the 'GeoNetwork' API
 (<https://geonetwork-opensource.org/#api>) allowing to upload and publish
 metadata in a 'GeoNetwork' web-application and expose it to OGC CSW.

Package: r-cran-geonet
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 734
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spatstat.linnet, r-cran-spatstat.geom, r-cran-spatstat.core, r-cran-mgcv, r-cran-matrix, r-cran-igraph, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-spatstat, r-cran-spatstat.data
Filename: pool/dists/focal/main/r-cran-geonet_0.7.3-1.ca2004.1_all.deb
Size: 702968
MD5sum: 4704f4562acc92494a0682a34cebf35f
SHA1: b6437cef6d7503a733560357e9ba2d9e2491f381
SHA256: 008bed3d9d784bae7acaddadfb59a751173b2a39d1f7656e296e7e6aa231723d
SHA512: 3efca89a57eb2e7091a2bf2540ccdd7f71f3fc3d767b9ae575e0daaf764e2ef0010bb85c495af4965264fc48be54a5762a2d372c3acf18430338309e6827f766
Homepage: https://cran.r-project.org/package=geonet
Description: CRAN Package 'geonet' (Intensity Estimation on Geometric Networks with PenalizedSplines)
 Fitting the intensity function of point processes on geometric networks. The
 method makes use of generalized additive models (GAM). The method is
 described in Marc Schneble, Göran Kauermann.  "Intensity estimation on
 geometric networks with penalized splines." The Annals of Applied
 Statistics, 16(2) 843-865 June 2022.  <doi:10.1214/21-AOAS1522>.  A new
 class for representing linear networks as geometric networks is the core of
 the package.

Package: r-cran-geonetwork
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geosphere, r-cran-igraph, r-cran-sf
Suggests: r-cran-devtools, r-cran-knitr, r-cran-maps, r-cran-mapview, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spdata, r-cran-testthat, r-cran-tmaptools
Filename: pool/dists/focal/main/r-cran-geonetwork_0.5.0-1.ca2004.1_all.deb
Size: 94116
MD5sum: f0cc53c61639f8c0da54dd3f33f1a380
SHA1: 684c6cf5386e5db2c4c89a79353a238f6b992288
SHA256: 5e15ad1c73ca693036a447cc0941bd0296c89acb7b90637323bc67e4c9dfd6f4
SHA512: cee085d6d0e640f8180bbc1e502e842ee2126107cf70c70e0a4efcf372f923415f9cf3a5dcb0544957feb92945b853173c45886e3f6e71ef1a4203c966e8b435
Homepage: https://cran.r-project.org/package=geonetwork
Description: CRAN Package 'geonetwork' (Geographic Networks)
 Provides classes and methods for handling networks or graphs whose nodes are
 geographical (i.e. locations in the globe).  The functionality includes the
 creation of objects of class geonetwork as a graph with node coordinates,
 the computation of network measures, the support of spatial operations
 (projection to different Coordinate Reference Systems, handling of bounding
 boxes, etc.) and the plotting of the geonetwork object combined with
 supplementary cartography for spatial representation.

Package: r-cran-geonode4r
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-openssl, r-cran-httr, r-cran-keyring, r-cran-readr
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-covr, r-cran-shiny, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-geonode4r_0.1-1-1.ca2004.1_all.deb
Size: 156356
MD5sum: 354777658797ce88b5a6174a64c5e5df
SHA1: d33ebef6ca8a4d4d130bdecb02e2d2b8c8ed0d1d
SHA256: 91f8fba3200866d1f7d78b6bc4fc725f15fc9a2b496eb5b2035df3f824bb9691
SHA512: 10cbc636af3dfa01733c57c24292e0c3f89af1b20b547970c79b62e565ece4791d04a91a03e4eb7d7ab9902bddc4ad0991828c8f81305b7db10288e03cffd606
Homepage: https://cran.r-project.org/package=geonode4R
Description: CRAN Package 'geonode4R' (Interface to 'GeoNode' REST API)
 Provides an interface to the 'GeoNode' API, allowing to upload and publish
 metadata and data in 'GeoNode'.  For more information about the 'GeoNode'
 API, see <https://geonode.org/>.

Package: r-cran-geoperu
Architecture: all
Version: 0.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-httr, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geoperu_0.0.0.2-1.ca2004.1_all.deb
Size: 404072
MD5sum: 676e0510dbd9ca3c20de6f3bb5d9a822
SHA1: 1d18b7ac650b0bbc743e8fad0deeee018811c353
SHA256: 92eae948ad6ad34df74c575ba58d42016196d34ed596a5c00b54bb0542f5833c
SHA512: f43d4ebfb850cb5c7001d39036d5acdb664610dfe46e71c24f4e1c6314927b7e155576da64c55c6204c9d06c99ff608ed22b64144f6ee940e4cf1b346d08750d
Homepage: https://cran.r-project.org/package=geoperu
Description: CRAN Package 'geoperu' (Download Spatial Datasets of Peru)
 Provides convenient access to the official spatial datasets of Peru as 'sf'
 objects in R. This package includes a wide range of geospatial data covering
 various aspects of Peruvian geography, such as: administrative divisions
 (Source: INEI <https://ide.inei.gob.pe/>), protected natural areas (Source:
 GEO ANP - SERNANP <https://geo.sernanp.gob.pe/visorsernanp/>). All datasets
 are harmonized in terms of attributes, projection, and topology, ensuring
 consistency and ease of use for spatial analysis and visualization.

Package: r-cran-geophys
Architecture: all
Version: 1.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpmg, r-cran-rseis, r-cran-rfoc, r-cran-geomap, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-geophys_1.4-1-1.ca2004.1_all.deb
Size: 322312
MD5sum: 8c4c850d3eb46d20b30e376f2500296d
SHA1: aa1819c294699d3913572587283a9efe456b5133
SHA256: 5c057b12324c1000195e6edaccf597fca2b731ca01e64c0e416c274d82b88742
SHA512: 63ee5f6c38b26f2a4a88f8f31a3150b5698e413dd899ac963f6a6efb411a76e5f98202501e0e8073a130cc14091f188f17306b665ecc25f951a986b885291053
Homepage: https://cran.r-project.org/package=geophys
Description: CRAN Package 'geophys' (Geophysics, Continuum Mechanics, Gravity Modeling)
 Codes for analyzing various problems of geophysics, continuum mechanics and
 gravity models.

Package: r-cran-geoprofiler
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-tectonicr, r-cran-terra, r-cran-units
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-geoprofiler_0.0.2-1.ca2004.1_all.deb
Size: 583860
MD5sum: b5b62ff44e13b0703bd59fd97a4a10a9
SHA1: f4a42454f674549fa54d7b21ae2ee4ae42fd4c4c
SHA256: 8e8a1dcb7c87329b0a8c0109b64f0b6519c3af4847c0573d1f1ba5095d261c46
SHA512: 021397c7e024d8019e41e1efe7e93c290e6623fbbd4696d6180c4e2954c54b76274b830d95f154e5cf7298c24c7f6347a6ee3f94d6383af6704d7f5df64fba59
Homepage: https://cran.r-project.org/package=geoprofiler
Description: CRAN Package 'geoprofiler' (Perpendicular Line Transects for Geosciences)
 Toolset to create perpendicular profile graphs and swath profiles. Method
 are based on coordinate rotation algorithm by Schaeben et al. (2024)
 <doi:10.1002/mma.9823>.

Package: r-cran-georange
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-proj4, r-cran-raster, r-cran-moments, r-cran-velociraptr
Filename: pool/dists/focal/main/r-cran-georange_0.1.0-1.ca2004.1_all.deb
Size: 161548
MD5sum: 647f29751e6e9e2fc71d3ae9840af923
SHA1: a6d60942c2bd9117c9aa885522f5221ea2e62ff5
SHA256: c25ef237f8d55b97d87d64e66a61282b9ef37c89e3b948e7fc2e44f89f203e20
SHA512: ce913e5d48116cfe5e9452cbcfe9a319d4da22325fc87981936e0f30ad0af5b3e6a8cb75a93c20923604a4816b5a42383dd17bd6029a5d6a73d54166fded4ac2
Homepage: https://cran.r-project.org/package=GeoRange
Description: CRAN Package 'GeoRange' (Calculating Geographic Range from Occurrence Data)
 Calculates and analyzes six measures of geographic range from a set of
 longitudinal and latitudinal occurrence data. Measures included are minimum
 convex hull area, minimum spanning tree distance, longitudinal range,
 latitudinal range, maximum pairwise great circle distance, and number of X
 by X degree cells occupied.

Package: r-cran-georefdatar
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rdpack
Suggests: r-cran-spelling, r-cran-testthat, r-cran-readxl, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-georefdatar_0.6.5-1.ca2004.1_all.deb
Size: 228600
MD5sum: 3b888dcd2b84a99d53c78f05adcc04b1
SHA1: 7ddfcd386d3d1d065efcca5c60de460cdc36e112
SHA256: 70df9c62e4aab47764876a5ed063e6b31d21fec0be647caf1049a3eb9fa4458d
SHA512: 751632684dff522a5752d2212b3c483b124f03d334df9352b4c677ca735c74cfe278b0e909f7c3407f65db82e5e8859975e0e5ee9a222a7e982dc15c60c540e0
Homepage: https://cran.r-project.org/package=georefdatar
Description: CRAN Package 'georefdatar' (Geosciences Reference Datasets)
 Reference datasets commonly used in the geosciences. These include standard
 atomic weights of the elements, a periodic table, a list of minerals
 including their abbreviations and chemistry, geochemical data of reservoirs
 (primitive mantle, continental crust, mantle, basalts, etc.), decay
 constants and isotopic ratios frequently used in geochronology, color codes
 of the chronostratigraphic chart. In addition, the package provides
 functions for basic queries of atomic weights, the list of minerals, and
 chronostratigraphic chart colors. All datasets are fully referenced, and a
 BibTeX file containing the references is included.

Package: r-cran-georob
Architecture: all
Version: 0.3-23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp, r-cran-abind, r-cran-constrainedkriging, r-cran-fields, r-cran-lmtest, r-cran-nlme, r-cran-nleqslv, r-cran-quantreg, r-cran-robustbase, r-cran-snowfall
Suggests: r-cran-gstat, r-cran-multcomp, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-georob_0.3-23-1.ca2004.1_all.deb
Size: 2182352
MD5sum: e208c951011851b0090d4c79fd0b020e
SHA1: 6d360a6a304eb7045779b9bfb71f9fc7002aaf50
SHA256: 285be146b8b3e0ae14964dc22821e7f58d8e70c9f76eac5ac98e78baa794ab62
SHA512: f7e3cb30d310a8aae36d2699e93c9209699e1dc8431fd58a830a8dd34b398536a10ba2880a6f2d71dc99274de27652baf270f7e0c8f135506d0ea3a80f8c2d58
Homepage: https://cran.r-project.org/package=georob
Description: CRAN Package 'georob' (Robust Geostatistical Analysis of Spatial Data)
 Provides functions for efficiently fitting linear models with spatially
 correlated errors by robust (Kuensch et al. (2011)
 <doi:10.3929/ethz-a-009900710>) and Gaussian (Harville (1977)
 <doi:10.1080/01621459.1977.10480998>) (Restricted) Maximum Likelihood and
 for computing robust and customary point and block external-drift Kriging
 predictions (Cressie (1993) <doi:10.1002/9781119115151>), along with utility
 functions for variogram modelling in ad hoc geostatistical analyses, model
 building, model evaluation by cross-validation, (conditional) simulation of
 Gaussian processes (Davies and Bryant (2013) <doi:10.18637/jss.v055.i09>),
 unbiased back-transformation of Kriging predictions of log-transformed data
 (Cressie (2006) <doi:10.1007/s11004-005-9022-8>).

Package: r-cran-geosae
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-geosae_0.1.0-1.ca2004.1_all.deb
Size: 37172
MD5sum: 39edf2d477aaa75d4fad5c93d149a6aa
SHA1: 0131839d735d32b55d4a2dae972672129137171c
SHA256: add146bed7b4485ac84a035b5357ea9f3113f18c14e0ea187335fcc7c4b88a74
SHA512: 510bf6b2c81e0451d8b5a11417f70d39e5c3981ce71f57ea3836aa655b4c196fad51b58e36089155a688b7f8d0fb0412cd896cc79d3b51d313d92ab49e11ce46
Homepage: https://cran.r-project.org/package=geoSAE
Description: CRAN Package 'geoSAE' (Geoadditive Small Area Model)
 This function is an extension of the Small Area Estimation (SAE) model.
 Geoadditive Small Area Model is a combination of the geoadditive model with
 the Small Area Estimation (SAE) model, by adding geospatial information to
 the SAE model. This package refers to J.N.K Rao and Isabel Molina (2015,
 ISBN: 978-1-118-73578-7), Bocci, C., & Petrucci, A.
 (2016)<doi:10.1002/9781118814963.ch13>, and Ardiansyah, M., Djuraidah, A., &
 Kurnia, A. (2018)<doi:10.21082/jpptp.v2n2.2018.p101-110>.

Package: r-cran-geosapi
Architecture: all
Version: 0.7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2328
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-cli, r-cran-openssl, r-cran-httr, r-cran-xml2, r-cran-magrittr, r-cran-keyring, r-cran-readr
Suggests: r-cran-testthat, r-cran-waldo, r-cran-roxygen2, r-cran-shiny, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-geosapi_0.7-1-1.ca2004.1_all.deb
Size: 1815872
MD5sum: 97421b9087f8c7ba85a4a5e7e622e191
SHA1: 3f13f8fdaf2c1d7f81452dc0f0fa344dd5d18650
SHA256: 5afc54be238fe0cf60fd8a90d04dba7139da5302e5fc00eae487be461c46446f
SHA512: 16e39fa7bde8ef862b768622badc1e69a8882b835cc6dff1dd9e0f26728b75222fc6f67ae65bed0c6b03ff515df958babfc67d979d4e8e014284421a60831f47
Homepage: https://cran.r-project.org/package=geosapi
Description: CRAN Package 'geosapi' (GeoServer REST API R Interface)
 Provides an R interface to the GeoServer REST API, allowing to upload and
 publish data in a GeoServer web-application and expose data to OGC
 Web-Services.  The package currently supports all CRUD
 (Create,Read,Update,Delete) operations on GeoServer workspaces, namespaces,
 datastores (stores of vector data), featuretypes, layers, styles, as well as
 vector data upload operations. For more information about the GeoServer REST
 API, see <https://docs.geoserver.org/stable/en/user/rest/>.

Package: r-cran-geoscale
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-geoscale_2.0.1-1.ca2004.1_all.deb
Size: 95856
MD5sum: 6cbfbb14374ce79e1c8855f763e13f4d
SHA1: d73db4cbf17bf47928eda2fac6c164a165b511bc
SHA256: cdb3f97b923122b3133be9674f8619deabacb767bc9bb4c76448a2a685fe1dc0
SHA512: 7c236b727ccd144e083b564b7fe20e9679c63063ca82706453353656a1144bc92d9f48ae5001726de5db0d2763fb02c9c099f3bd01bfa5abad271fa84a0d83c4
Homepage: https://cran.r-project.org/package=geoscale
Description: CRAN Package 'geoscale' (Geological Time Scale Plotting)
 Functionality for adding the geological timescale to bivariate plots.

Package: r-cran-geosed
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-sp, r-cran-mapview
Filename: pool/dists/focal/main/r-cran-geosed_0.1.1-1.ca2004.1_all.deb
Size: 45396
MD5sum: fd32300a173ff8120b45270b1a28cce7
SHA1: 89051443217763cae064e5ed7184f357349c4e3b
SHA256: 63206f2a39b593ca44f49d4a1deb9dd272f2db58e870b873b1b8fab682907319
SHA512: a400201ef9f62d92a0e576e08dd1c76c927e5c7b395a8daf823c4404e01fb48f99c416cba7f63dd1e155f6a9f8403a5dc0b7b96593518d12ac99b69fd73b1643
Homepage: https://cran.r-project.org/package=geosed
Description: CRAN Package 'geosed' (Smallest Enclosing Disc for Latitude and Longitude Points)
 Find the smallest circle that contains all longitude and latitude input
 points. From the generated center and radius, variable side polygons can be
 created, navigation based on bearing and distance can be applied, and more.
 Based on a modified version of Welzl's algorithm for smallest circle.
 Distance calculations are based on the haversine formula. Calculations for
 distance, midpoint, bearing and more are derived from
 <https://www.movable-type.co.uk>.

Package: r-cran-geosimilarity
Architecture: all
Version: 3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-magrittr, r-cran-ggrepel
Suggests: r-cran-knitr, r-cran-cowplot, r-cran-viridis, r-cran-car, r-cran-desctools, r-cran-performanceanalytics, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geosimilarity_3.7-1.ca2004.1_all.deb
Size: 1473908
MD5sum: 77734c243b60e51ba8cffe2a604d95e3
SHA1: 6fa6d27b6133573f487e3180d2815d76f8f8bf4e
SHA256: 44595267ec1fab42e6d1ba3885dd44546f15969f462c554cdbc79bf84411f6ab
SHA512: d7537af5123ba1f19f681ba1af29a5d6a3c1bcfeb8c51eba2783c820fd8fdaebd619cc966de255969f5f4d8d572a506ce33eb6a3356453f3845963b743b51362
Homepage: https://cran.r-project.org/package=geosimilarity
Description: CRAN Package 'geosimilarity' (Geographically Optimal Similarity)
 Understanding spatial association is essential for spatial statistical
 inference, including factor exploration and spatial prediction.
 Geographically optimal similarity (GOS) model is an effective method for
 spatial prediction, as described in Yongze Song (2022)
 <doi:10.1007/s11004-022-10036-8>. GOS was developed based on the
 geographical similarity principle, as described in Axing Zhu (2018)
 <doi:10.1080/19475683.2018.1534890>. GOS has advantages in more accurate
 spatial prediction using fewer samples and critically reduced prediction
 uncertainty.

Package: r-cran-geospark
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr, r-cran-dplyr, r-cran-dbplyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-geospark_0.3.1-1.ca2004.1_all.deb
Size: 19520
MD5sum: d5357570e7717d12e0e3b2998bd68f29
SHA1: 4f8b88148ce9eb564d477b9f076deedd9d0b64b7
SHA256: 9fa14905b2d775834a18b6ca625cfbc9039a6dcfa12246ac5ad3f6f6a76a7e00
SHA512: bda2c4a332f3c804f0e61f86aaf34450e686c2d4ce56593ed9466eb21a53b1daef8528ca317fa98d9af43a9a72b28d6a8453a9a1079c75db39500796f8c23f70
Homepage: https://cran.r-project.org/package=geospark
Description: CRAN Package 'geospark' (Bring Local Sf to Spark)
 R binds 'GeoSpark' <http://geospark.datasyslab.org/> extending 'sparklyr'
 <https://spark.rstudio.com/> R package to make distributed 'geocomputing'
 easier. Sf is a package that provides [simple features]
 <https://en.wikipedia.org/wiki/Simple_Features> access for R and which is a
 leading 'geospatial' data processing tool. 'Geospark' R package bring the
 same simple features access like sf but running on Spark distributed system.

Package: r-cran-geospt
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 588
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gstat, r-cran-genalg, r-cran-mass, r-cran-sp, r-cran-minqa, r-cran-fields, r-cran-gsl, r-cran-plyr, r-cran-teachingdemos, r-cran-sgeostat
Filename: pool/dists/focal/main/r-cran-geospt_1.0-6-1.ca2004.1_all.deb
Size: 536284
MD5sum: fafbcd366124c5f87f175c93e95f892a
SHA1: a21b15dc73e9437cb2b0326244bce88c40dd9d56
SHA256: 3f8dac243bb7fef9c6462c70f0266e561d2e2cefcc4f4b66373c9e306bac49d1
SHA512: ebac26b692b3c5a9d0eb4b7db75400eadee80c7bc0f3cf8f59dfa773b04fc520849b5c6c4161e1e55f6a2c0d6e80d1c7e74f46fe0a4256be047a4c46f2ac62fa
Homepage: https://cran.r-project.org/package=geospt
Description: CRAN Package 'geospt' (Geostatistical Analysis and Design of Optimal Spatial SamplingNetworks)
 Estimation of the variogram through trimmed mean, radial basis functions
 (optimization, prediction and cross-validation), summary statistics from
 cross-validation, pocket plot, and design of optimal sampling networks
 through sequential and simultaneous points methods.

Package: r-cran-geosptdb
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fd, r-cran-statmatch, r-cran-fields, r-cran-sp, r-cran-mass, r-cran-minqa, r-cran-gsl, r-cran-geospt
Filename: pool/dists/focal/main/r-cran-geosptdb_1.0-2-1.ca2004.1_all.deb
Size: 468892
MD5sum: 1f1f7d71ee39cc3bd250e5819efef2f5
SHA1: 4a3d9d59b6ff466936f0040ffe119793c3701c4c
SHA256: 0633a2b54264d1883b60f0efe994540d0d029e7413534e4190c70928b9e0276a
SHA512: acd91e985a5fab18d1e4e6bc876ac48beb890d6096af28c13b704ea899688ec28ed6456ede2a59e7bf7d75d55ffe10d212d86fd915d6f37d2db26b6cf92e1fdf
Homepage: https://cran.r-project.org/package=geosptdb
Description: CRAN Package 'geosptdb' (Spatio-Temporal Radial Basis Functions with Distance-BasedMethods (Optimization, Prediction and Cross Validation))
 Spatio-temporal radial basis functions (optimization, prediction and
 cross-validation), summary statistics from cross-validation, Adjusting
 distance-based linear regression model and generation of the principal
 coordinates of a new individual from Gower's distance.

Package: r-cran-geostats
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 926
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-geostats_1.6-1.ca2004.1_all.deb
Size: 891064
MD5sum: eacde0b8e459c38ba44fdce1b62785e7
SHA1: f4ab1556cff55c850fefd7aeba965ba1ef0455d7
SHA256: 534832cf9b37b04e23c97c7705b64d4597838d68899e67d1d8599d6f1d172913
SHA512: b404e7d1e6919913a7707c8fd3eee1ca3971525c9af6980a987665c8fa0135e06947077708e09c295a22202d7891f007fc72976108ca26cd54cfe3006c7ba92a
Homepage: https://cran.r-project.org/package=geostats
Description: CRAN Package 'geostats' (An Introduction to Statistics for Geoscientists)
 A collection of datasets and simplified functions for an introductory
 (geo)statistics module at University College London. Provides functionality
 for compositional, directional and spatial data, including ternary diagrams,
 Wulff and Schmidt stereonets, and ordinary kriging interpolation. Implements
 logistic and (additive and centred) logratio transformations. Computes
 vector averages and concentration parameters for the von-Mises distribution.
 Includes a collection of natural and synthetic fractals, and a simulator for
 deterministic chaos using a magnetic pendulum example. The main purpose of
 these functions is pedagogical. Researchers can find more complete
 alternatives for these tools in other packages such as 'compositions',
 'robCompositions', 'sp', 'gstat' and 'RFOC'. All the functions are written
 in plain R, with no compiled code and a minimal number of dependencies.
 Theoretical background and worked examples are available at
 <https://tinyurl.com/UCLgeostats/>.

Package: r-cran-geotargets
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-targets, r-cran-rlang, r-cran-cli, r-cran-terra, r-cran-withr, r-cran-zip, r-cran-lifecycle, r-cran-gdalraster
Suggests: r-cran-crew, r-cran-knitr, r-cran-ncmeta, r-cran-rmarkdown, r-cran-sf, r-cran-stars, r-cran-testthat, r-cran-fs, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-geotargets_0.3.1-1.ca2004.1_all.deb
Size: 588888
MD5sum: a4209a5020df4a03b2c5e98d2beecd37
SHA1: aa647ab08f63f1785c31adc20b2078b289e534d0
SHA256: b669225ce25ad6f45a3d529c25f8655695fcbd6a6953e12af53b9aacf2b03227
SHA512: 4aee3fdf12e41f55676a064affae0ab6766be8d04ff82c0ef331a0f2de568d6331399e41158357054196be7c57a949adc0e3080413a05c5a4d362ffd87e98af4
Homepage: https://cran.r-project.org/package=geotargets
Description: CRAN Package 'geotargets' ('targets' Extensions for Geographic Spatial Formats)
 Provides extensions for various geographic spatial file formats, such as
 shape files and rasters. Currently provides support for the 'terra'
 geographic spatial formats. See the vignettes for worked examples,
 demonstrations, and explanations of how to use the various package
 extensions.

Package: r-cran-geotcgadata
Architecture: all
Version: 1.1.1.992-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3894
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-plyr, r-bioc-cqn, r-cran-dplyr, r-bioc-topconfects
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-deseq2, r-bioc-s4vectors, r-bioc-champ, r-bioc-impute, r-cran-tidyr, r-bioc-clusterprofiler, r-bioc-org.hs.eg.db, r-bioc-edger, r-bioc-limma, r-cran-quantreg, r-bioc-minfi, r-bioc-illuminahumanmethylation450kanno.ilmn12.hg19, r-bioc-dearseq, r-bioc-noiseq
Filename: pool/dists/focal/main/r-cran-geotcgadata_1.1.1.992-1.ca2004.1_all.deb
Size: 3661208
MD5sum: d957ee9399c74fb34add292913c403d9
SHA1: 67799db8ab1ea63f77a79446a023d15a7021740f
SHA256: 517bc95ca88024031e9befb18760c03dda6aef99224d8a8f4bbf2471697a3cc0
SHA512: 38327d894985eb1f2f2a4a8cc65af126b566ee8b1b57c2625ec30c70ed0d963a4c94e531719089ff0dccc42f29d5ed367124b0a72c60e293a8b1271f0956efab
Homepage: https://cran.r-project.org/package=GeoTcgaData
Description: CRAN Package 'GeoTcgaData' (Processing various types of data on GEO and TCGA)
 Gene Expression Omnibus(GEO) and The Cancer Genome Atlas (TCGA) provide us
 with a wealth of data, such as RNA-seq, DNA Methylation, SNP and Copy number
 variation data. It's easy to download data from TCGA using the gdc tool, but
 processing these data into a format suitable for bioinformatics analysis
 requires more work. This R package was developed to handle these data.

Package: r-cran-geothinner
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-fields, r-cran-foreach, r-cran-matrixstats, r-cran-nabor, r-cran-sf, r-cran-terra
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-geothinner_2.0.0-1.ca2004.1_all.deb
Size: 1937668
MD5sum: 322b0a9357bc376ab63dd73a9c97e7aa
SHA1: c1958c0c3baa5c1ef138d93e800f26561fdb839f
SHA256: 448fab51f4f6b40e992018fef0bf8ae922c23bdd2897489c36327875dcd39966
SHA512: 24d13e72879dc34bc955e2187bb34ac02b41cab758379702a5a4d76133ece0c0c9ab12d2409b70114650a9849c7a32f74f131714406d5b28987d7703b4f9da49
Homepage: https://cran.r-project.org/package=GeoThinneR
Description: CRAN Package 'GeoThinneR' (Efficient Spatial Thinning of Species Occurrences)
 Provides efficient geospatial thinning algorithms to reduce the density of
 coordinate data while maintaining spatial relationships. Implements K-D Tree
 and brute-force distance-based thinning, as well as grid-based and
 precision-based thinning methods.  For more information on the methods, see
 Elseberg et al. (2012) <https://hdl.handle.net/10446/86202>.

Package: r-cran-geotools
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1639
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-geotools_0.1-1.ca2004.1_all.deb
Size: 1595492
MD5sum: 0df33c3324352b40a68a0d0341cd12cf
SHA1: 4d887434c5d818c1997c004379004f6cb12f2ff9
SHA256: 9cdce16e2680b7dd65ebc71d802998793e121eb3ccf32c6edda4887ede9b3137
SHA512: 9906e89d195f25f7a8821bd4a6df82a71ef94ca928c2f0ad123351cea1117594ee37c3ff72a87ba766cb38285a3542e39fe97ee3c2dc3ce2273ab7ad96e29a56
Homepage: https://cran.r-project.org/package=geotools
Description: CRAN Package 'geotools' (Geo tools)
 Tools

Package: r-cran-geotoolsr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geor, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-geotoolsr_1.2.1-1.ca2004.1_all.deb
Size: 74896
MD5sum: f5314484878212d4701a463bc3b90cf6
SHA1: af52ca6140cf45c5be30400c73c36f6990bc5d0f
SHA256: c9a70e7f1f89a76d3abb7b6285ecd4f16c03cf267edb12270849c108617174d7
SHA512: de6abffd033dfb20922176eec826762c04374e29a2434712907252bd6603ef1deda928e71704dd6da2fc9392a718e28503ba7789f592b6d6a3cb7214b7929feb
Homepage: https://cran.r-project.org/package=geotoolsR
Description: CRAN Package 'geotoolsR' (Tools to Improve the Use of Geostatistic)
 The basic idea of this package is provides some tools to help the researcher
 to work with geostatistics. Initially, we present a collection of functions
 that allow the researchers to deal with spatial data using bootstrap
 procedure. There are five methods available and two ways to display them:
 bootstrap confidence interval - provides a two-sided bootstrap confidence
 interval; bootstrap plot - a graphic with the original variogram and each of
 the B bootstrap variograms.

Package: r-cran-geotopbricks
Architecture: all
Version: 1.5.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3875
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-stringr, r-cran-zoo, r-cran-sf, r-cran-terra
Suggests: r-cran-soilwater
Filename: pool/dists/focal/main/r-cran-geotopbricks_1.5.9.1-1.ca2004.1_all.deb
Size: 3243816
MD5sum: 1870db420243e206872d4ea3ac5d8143
SHA1: 3bfea4edd0585710528b60e78a79bcaf7892c7c7
SHA256: a86174594e2b8c5cb9a5d1f44fd1fa20fb4a56b1f25c9a60fd08a373eaa0138d
SHA512: 39b747a4ee3b9eee9ba4ca313398c5ab355b057c4c58656bb6e9e2cf6bbadc7015918de1e80281a60f108c84be21b0c7c3404d0cd7ef4330ac226eafd33a367b
Homepage: https://cran.r-project.org/package=geotopbricks
Description: CRAN Package 'geotopbricks' (An R Plug-in for the Distributed Hydrological Model GEOtop)
 It analyzes raster maps and other information as input/output files from the
 Hydrological Distributed Model GEOtop. It contains functions and methods to
 import maps and other keywords from geotop.inpts file. Some examples with
 simulation cases of GEOtop 2.x/3.x are presented in the package.  Any
 information about the GEOtop Distributed Hydrological Model can be found in
 the provided documentation.

Package: r-cran-geotox
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2962
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggridges, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-truncnorm
Suggests: r-cran-ggpubr, r-cran-httk, r-cran-httr2, r-cran-knitr, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geotox_0.2.0-1.ca2004.1_all.deb
Size: 2609392
MD5sum: 7d2b4e6bee038976f08d574df74b146b
SHA1: bb9981e72a13e53db9db84d57cb3ab2abed09790
SHA256: c94e2c14dd88305a6ccdc153b4a48dc3cdbdc88504273aacebacec51c41928a7
SHA512: 4c5576a0b5b7beed2fd807a06cf1161bcddb3612b3e8ef6b01d69ed145e8521894636fb544bf97f24e04d029a6ca057d70542ce86ab7725fe06cd1d1f890cdaa
Homepage: https://cran.r-project.org/package=GeoTox
Description: CRAN Package 'GeoTox' (Spatiotemporal Mixture Risk Assessment)
 Connecting spatiotemporal exposure to individual and population-level risk
 via source-to-outcome continuum modeling. The package, methods, and
 case-studies are described in Messier, Reif, and Marvel (2024)
 <doi:10.1101/2024.09.23.24314096> and Eccles et al. (2023)
 <doi:10.1016/j.scitotenv.2022.158905>.

Package: r-cran-geots
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1290
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-raster, r-cran-doparallel, r-cran-ff, r-cran-foreach, r-cran-robustbase, r-cran-sp
Filename: pool/dists/focal/main/r-cran-geots_0.1.8-1.ca2004.1_all.deb
Size: 723280
MD5sum: 81fa39e3edfb0ae384f98a8efe3e6020
SHA1: 985229179aacc42dba2d1d9b390fa6dd25b88165
SHA256: 3f0b616140b66449725ba94a2ee89b9a8f9632330bdd07fc08dcd1a930cc2c4b
SHA512: 26e0685dd630a870eada89c3a06dae9eae4318fe741d1ec0d53a34a958f8b6a2ca59b868a99a434c4166db26642da4d61f644eb5e4b21b65b963cf57a866fdd3
Homepage: https://cran.r-project.org/package=geoTS
Description: CRAN Package 'geoTS' (Methods for Handling and Analyzing Time Series of SatelliteImages)
 Provides functions and methods for: splitting large raster objects into
 smaller chunks, transferring images from a binary format into raster layers,
 transferring raster layers into an 'RData' file, calculating the maximum gap
 (amount of consecutive missing values) of a numeric vector, and fitting
 harmonic regression models to periodic time series. The homoscedastic
 harmonic regression model is based on G. Roerink, M. Menenti and W. Verhoef
 (2000) <doi:10.1080/014311600209814>.

Package: r-cran-geouy
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-ggspatial, r-cran-ggthemes, r-cran-glue, r-cran-magrittr, r-cran-raster, r-cran-rjson, r-cran-rlang, r-cran-sf, r-cran-sp, r-cran-stringr, r-cran-tidyselect, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geouy_0.2.8-1.ca2004.1_all.deb
Size: 307692
MD5sum: 3707fe9a98210fb6d428afc071751ceb
SHA1: 45b72688633841969810829f0f65ff0e8e3f053d
SHA256: 714e3d4170c5a8be9f67b026aa09954c5c3e24641b6ebb3762ef0c5ac5825a4c
SHA512: b9ce99ebf17cc8c0f8b3e8a2e30749eb4ce2bc51542e24c9cd2b8d346897a65b77a30e1b8868c826f227a16c7472c3a219ea34ae6e774ea062a58688d11e429d
Homepage: https://cran.r-project.org/package=geouy
Description: CRAN Package 'geouy' (Geographic Information of Uruguay)
 The toolbox have functions to load and process geographic information for
 Uruguay.  And extra-function to get address coordinates and orthophotos
 through the uruguayan 'IDE' API
 <https://www.gub.uy/infraestructura-datos-espaciales/tramites-y-servicios/servicios/sistema-unico-direcciones-geograficas>.

Package: r-cran-geoviz
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-readr, r-cran-tibble, r-cran-purrr, r-cran-stringr, r-cran-raster, r-cran-chron, r-cran-sp, r-cran-sf, r-cran-rgeos, r-cran-glue, r-cran-png, r-cran-abind, r-cran-rgl, r-cran-slippymath, r-cran-curl, r-cran-progress, r-cran-rlang, r-cran-ggplot2, r-cran-rgdal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geoviz_0.2.2-1.ca2004.1_all.deb
Size: 3167604
MD5sum: 5904e88dcdd8f9490e27e311af5fed11
SHA1: 8df43b0f9f00bd55fbb544eb155b4059f7bcf305
SHA256: ed8447161c2ebfab03d811627ca464e95aead2080181f9ceda0b378ed3b0531a
SHA512: efc8f1d562d59522659ef158164718b81a3d9e2c302f7fcb4f976649d10c423cbe16ed2bd5f82f250f79b3f902c40d3704f81d5b50fd2d0726290a999e33530a
Homepage: https://cran.r-project.org/package=geoviz
Description: CRAN Package 'geoviz' (Elevation and GPS Data Visualisation)
 Simpler processing of digital elevation model and GPS trace data for use
 with the 'rayshader' package.

Package: r-cran-geovol
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-geovol_1.1-1.ca2004.1_all.deb
Size: 43392
MD5sum: 04a2c3d1639e827844df69cc74414147
SHA1: ef5472ba362a3349bd74e694f6227636a4fcb013
SHA256: 5a143f32b12bb5fc47faed81cbf0659f1eb223a9f7b4e487232ac8500e715b0c
SHA512: 504a5d0b329d5925bf0356c7533a9473aff543704f42bbb3380f0d0fbc029ede9a07962ca66af22850f6e18348804fd5bb05a67b33b352000d4d08d1f088df78
Homepage: https://cran.r-project.org/package=geovol
Description: CRAN Package 'geovol' (Geopolitical Volatility (GEOVOL) Modelling)
 Simulation, estimation and testing for geopolitical volatility (GEOVOL)
 based on the global common volatility model of Engle and Campos-Martins
 (2023) <doi:10.1016/j.jfineco.2022.09.009>. GEOVOL is modelled as a latent
 multiplicative volatility factor with heterogeneous factor loadings.
 Estimation is carried out as a maximization-maximization procedure, where
 GEOVOL and the GEOVOL loadings are estimated iteratively until convergence.

Package: r-cran-geoweightedmodel
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1766
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-beepr, r-cran-cartography, r-cran-dplyr, r-cran-dt, r-cran-gwmodel, r-cran-raster, r-cran-readxl, r-cran-shiny, r-cran-shinyalert, r-cran-shinybs, r-cran-shinybusy, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-sp, r-cran-spdep
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geoweightedmodel_1.0.3-1.ca2004.1_all.deb
Size: 879168
MD5sum: 58be24a70182ab003a19047a13bf268c
SHA1: 89d5e33898a8e4ad4d30da7f5f5d07b2f8671cb3
SHA256: fc814ea8d043b5cd830772c212d4f2bd6f278e1c880506288c818b797d83d877
SHA512: 04df9ba016e0b4ca470fdc69f79b9f063170bf002320c9aad77a193d543ad26b62a65c79dd49eef770e6e456f2b044f3a953a7a8e8bb8064413a5da15619421c
Homepage: https://cran.r-project.org/package=GeoWeightedModel
Description: CRAN Package 'GeoWeightedModel' (User-Friendly Interface for Geographically-Weighted Models)
 Contains the development of a tool that provides a web-based graphical user
 interface (GUI) to perform Techniques from a subset of spatial statistics
 known as geographically weighted (GW) models.  Contains methods described by
 Brunsdon et al., 1996 <doi:10.1111/j.1538-4632.1996.tb00936.x>, Brunsdon et
 al., 2002 <doi:10.1016/s0198-9715(01)00009-6>, Harris et al., 2011
 <doi:10.1080/13658816.2011.554838>, Brunsdon et al., 2007
 <doi:10.1111/j.1538-4632.2007.00709.x>.

Package: r-cran-geozoo
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops
Suggests: r-cran-tourr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-geozoo_0.5.1-1.ca2004.1_all.deb
Size: 91484
MD5sum: d1d21c7668effaa231902521321654eb
SHA1: 797ab9d7f6727ca5612bf633a61ff64e240b878d
SHA256: 6b5c0b0c4ac9ecd4ddfa622bf5dd38a8882a08cb67bd50e08e09eb2128a9f3dd
SHA512: ffa8141d26ed5959dcdf1ad0ba49b431c4b2b3072eb8fcefa92d04c9ab7b0bcb306c599856376a678094b5ea72fb368b9540eb7d9852b80e938ebd4ab4df4ec9
Homepage: https://cran.r-project.org/package=geozoo
Description: CRAN Package 'geozoo' (Zoo of Geometric Objects)
 Geometric objects defined in 'geozoo' can be simulated or displayed in the R
 package 'tourr'.

Package: r-cran-gepaf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bitops
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-gepaf_0.2.0-1.ca2004.1_all.deb
Size: 17208
MD5sum: afb68adadf23315fe05bddf9cde9ec1a
SHA1: f600b193922d15009e162ab9df8ccdf6af858053
SHA256: 3343db9ccd3fe676267c85ccf9625d90ef816d677c9bb4a97cad2cf403f28f43
SHA512: 82d0f1103b352e1248535bcbb1de909d9260aa776aec364fcee34a69e1440cfd52064661b4b4fcd4b53036a3805b34e8a3934f8a5061bc8324e3d3b1fff2b825
Homepage: https://cran.r-project.org/package=gepaf
Description: CRAN Package 'gepaf' (Google Encoded Polyline Algorithm Format)
 Encode and decode the Google Encoded Polyline Algorithm Format.  See
 <https://developers.google.com/maps/documentation/utilities/polylinealgorithm>
 for more information.

Package: r-cran-gephiforr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-gephiforr_0.1.0-1.ca2004.1_all.deb
Size: 47980
MD5sum: 51058bb16ca927f47e9748f21b7387d0
SHA1: 18da8e4c16cce5fe41acbe1ec5fe5f0269ee52ff
SHA256: 412cb94f2774473ad38bb3a5ca4965e0ac3723e63fc763bf4ab5299387dccc72
SHA512: 5921c3d5209629154de68cb90f353085b848a60d6081a7a074efec163f0a5c7e7dba87ba84537ac589823f0a54d5335cc18d6738db48796487f16902c0e299ec
Homepage: https://cran.r-project.org/package=GephiForR
Description: CRAN Package 'GephiForR' ('Gephi' Network Visualization)
 Implements key features of 'Gephi' for network visualization, including
 'ForceAtlas2' (with LinLog mode), network scaling, and network rotations. It
 also includes easy network visualization tools such as edge and node color
 assignment for recreating 'Gephi'-style graphs in R. The package references
 layout algorithms developed by Jacomy, M., Venturini T., Heymann S., and
 Bastian M. (2014) <doi:10.1371/journal.pone.0098679> and Noack, A. (2009)
 <doi:10.48550/arXiv.0807.4052>.

Package: r-cran-geppe
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-geppe_1.0-1.ca2004.1_all.deb
Size: 36808
MD5sum: 364a07d296e63765f82498f23104677d
SHA1: 8ebb6aa502ebf889eeb343e3aac7dc70406a8fe2
SHA256: 933110e624aa13cd5807b556ac6f556f93655d1efcbe6cfce9bb28b14a01481b
SHA512: 869dd3d4e333049b34dc2d1e2068bf8057882347ac7751cba7cacd035aa4060a9f7cba9eb34b83c7747e95bdbde25cb214b590ce47350906cf895ea8282e220d
Homepage: https://cran.r-project.org/package=geppe
Description: CRAN Package 'geppe' (Generalised Exponential Poisson and Poisson ExponentialDistributions)
 Maximum likelihood estimation, random values generation, density computation
 and other functions for the exponential-Poisson generalised
 exponential-Poisson and Poisson-exponential distributions. References
 include: Rodrigues G. C., Louzada F. and Ramos P. L. (2018).
 "Poisson-exponential distribution: different methods of estimation". Journal
 of Applied Statistics, 45(1): 128--144. <doi:10.1080/02664763.2016.1268571>.
 Louzada F., Ramos, P. L. and Ferreira, H. P. (2020). "Exponential-Poisson
 distribution: estimation and applications to rainfall and aircraft data with
 zero occurrence". Communications in Statistics--Simulation and Computation,
 49(4): 1024--1043. <doi:10.1080/03610918.2018.1491988>. Barreto-Souza W. and
 Cribari-Neto F. (2009). "A generalization of the exponential-Poisson
 distribution". Statistics and Probability Letters, 79(24): 2493--2500.
 <doi:10.1016/j.spl.2009.09.003>.

Package: r-cran-gerbil
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1251
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desctools, r-cran-lattice, r-cran-mass, r-cran-mvtnorm, r-cran-openxlsx, r-cran-pbapply, r-cran-truncnorm
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-mice, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gerbil_0.1.9-1.ca2004.1_all.deb
Size: 1212308
MD5sum: 77d40c4ce2fde6952b1c8cd4a63acb15
SHA1: 77a5f565eecb7663ddd88fcb855dcbef6bdd78d8
SHA256: d818cb3d3bcfaf34b0da9ea719cc66f91e87014ca1836e9dbc388ec261a44577
SHA512: 2ecbcbdfd00e9ddc32a5ccd796c0ad0fa5185cd3bd014ea4f9141adaef26572de078172f30ebda254e9f88be19439a7caf5420559b9e1e6378981a772c36a30c
Homepage: https://cran.r-project.org/package=gerbil
Description: CRAN Package 'gerbil' (Generalized Efficient Regression-Based Imputation with LatentProcesses)
 Implements a new multiple imputation method that draws imputations from a
 latent joint multivariate normal model which underpins generally structured
 data. This model is constructed using a sequence of flexible conditional
 linear models that enables the resulting procedure to be efficiently
 implemented on high dimensional datasets in practice. See Robbins (2021)
 <arXiv:2008.02243>.

Package: r-cran-gerda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringdist, r-cran-dplyr, r-cran-readr, r-cran-knitr, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gerda_0.1.0-1.ca2004.1_all.deb
Size: 24316
MD5sum: 83b320a33fdae02603613993b7ed4897
SHA1: 04f8f535c5e4c50ce91bf1402027430b3012df87
SHA256: 59dd2e005833f923c947c8e78e749f2495f75f3ffb8be221c2a80d16381e681c
SHA512: f4b8bd404608d035bcdf0d19e20993b5e301972ea513c9d9f32117cc0076c3e246c5e8b11a3c8f66d9ecd876d02429086496c72b0f82aeebb86490c1273dfa0a
Homepage: https://cran.r-project.org/package=gerda
Description: CRAN Package 'gerda' (German Election Database (GERDA))
 Provides tools to download comprehensive datasets of local, state, and
 federal election results in Germany from 1990 to 2021. The package
 facilitates access to data on turnout, vote shares for major parties, and
 demographic information across different levels of government (municipal,
 state, and federal). It offers access to geographically harmonized datasets
 that account for changes in municipal boundaries over time and incorporate
 mail-in voting districts. Users can easily retrieve, clean, and standardize
 German electoral data, making it ready for analysis. Data is sourced from
 <http://www.german-elections.com>.

Package: r-cran-gerefer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1924
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bibliorefer
Filename: pool/dists/focal/main/r-cran-gerefer_0.1.2-1.ca2004.1_all.deb
Size: 491596
MD5sum: 1933e32b86c78eead1f7fad996dae008
SHA1: e6fea30de75d9fab6a337f134530e0225c42ce6a
SHA256: 5d3b09f3370a5d69b9ea292b1d85bcb585617264bbbce6a8ea7f6d673290312f
SHA512: 72976d09aaec0e987b9e35bc4741b4bfa9e86ecdfa86e29dc6ff3342b4d3d6de70ad884650b1bc60d38f1b841ff956ebad71cb6608fc7a40920ef30fd0086950
Homepage: https://cran.r-project.org/package=gerefer
Description: CRAN Package 'gerefer' (Preparer of Main Scientific References for Automatic Insertionin Academic Papers)
 Generates a file, containing the main scientific references, prepared to be
 automatically inserted into an academic paper.  The articles present in the
 list are chosen from the main references generated, by function
 principal_lister(), of the package 'bibliorefer'.  The generated file
 contains the list of metadata of the principal references in 'BibTex'
 format.  Massimo Aria, Corrado Cuccurullo. (2017)
 <doi:10.1016/j.joi.2017.08.007>.  Caibo Zhou, Wenyan Song. (2021)
 <doi:10.1016/j.jclepro.2021.126943>.  Hamid Derviş. (2019)
 <doi:10.5530/jscires.8.3.32>.

Package: r-cran-germinar
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-agricolae, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-purrr, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gsheet, r-cran-inti
Filename: pool/dists/focal/main/r-cran-germinar_2.1.5-1.ca2004.1_all.deb
Size: 779328
MD5sum: 790c0ada81f687a7b4b85dc5cdfbaa06
SHA1: 0ff6d83e857604f6b1b2df5fe7f9b9e44f97f5a3
SHA256: 0130a733ae215e56708910fdad3081ae699dee31b9af1791d635bc2bb90920e2
SHA512: edd3387bcdf1afb47ae0e614c7b4996ec21507190ad10922c8a0b45b010242a37e16c1eb78698c98c09809df506ddffe21b61be1febb1efbb2a35716c1476b9e
Homepage: https://cran.r-project.org/package=GerminaR
Description: CRAN Package 'GerminaR' (Indices and Graphics for Assess Seed Germination Process)
 A collection of different indices and visualization techniques for evaluate
 the seed germination process in ecophysiological studies (Lozano-Isla et al.
 2019) <doi:10.1111/1440-1703.1275>.

Package: r-cran-germinationmetrics
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1041
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-data.table, r-cran-ggplot2, r-cran-ggrepel, r-cran-mathjaxr, r-cran-gslnls, r-cran-plyr, r-cran-rdpack
Suggests: r-cran-httr, r-cran-knitr, r-cran-pander, r-cran-rcurl, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat, r-cran-xml
Filename: pool/dists/focal/main/r-cran-germinationmetrics_0.1.8-1.ca2004.1_all.deb
Size: 812540
MD5sum: 0254aa5db7bb11e9f5aa4c4df97b0c55
SHA1: 0285b06683e4ed2626cb7c7af2dd9311879be88b
SHA256: 5cc195b7f1bba11dd6fbba2502cd8f0494aba754fc76047c24bc23b02f11b977
SHA512: eca60a65ee02259be626f5d5808ad157779a4adf259ab77ffcd31a81a384032c59144a5cb91e5a21a949fb4bfc18e5627b46ffc3eaff62b62cb0ad0c1e7900dc
Homepage: https://cran.r-project.org/package=germinationmetrics
Description: CRAN Package 'germinationmetrics' (Seed Germination Indices and Curve Fitting)
 Provides functions to compute various germination indices such as
 germinability, median germination time, mean germination time, mean
 germination rate, speed of germination, Timson's index, germination value,
 coefficient of uniformity of germination, uncertainty of germination
 process, synchrony of germination etc. from germination count data. Includes
 functions for fitting cumulative seed germination curves using
 four-parameter hill function and computation of associated parameters. See
 the vignette for more, including full list of citations for the methods
 implemented.

Package: r-cran-gernika
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.tree, r-cran-purrr, r-cran-reshape2, r-cran-diagrammer, r-cran-colorspace, r-cran-dplyr, r-cran-vctrs, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-knitcitations, r-cran-ggpubr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gernika_1.1.0-1.ca2004.1_all.deb
Size: 2290480
MD5sum: 92d3b1c586c314b83d92c07f75f12dc4
SHA1: d137088d224fcc276f0a054e9fab4243046db735
SHA256: 92a5b73122d1160e57b5814d108ae3492d4c7ce84eea770aec185e60b512933c
SHA512: 81d62099fdd7014a431ba052315f6c3a7fb168ad74cd868551cfa853b330cc1dd76556752814da05ef307cbc3c505d673a5443dbf8264e7303754343e834d157
Homepage: https://cran.r-project.org/package=GeRnika
Description: CRAN Package 'GeRnika' (Simulation, Visualization and Comparison of Tumor Evolution Data)
 Simulating, visualizing and comparing tumor clonal data by using simple
 commands. This aims at providing a tool to help researchers to easily
 simulate tumor data and analyze the results of their approaches for studying
 the composition and the evolutionary history of tumors.

Package: r-cran-gesca
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gesca_1.0.5-1.ca2004.1_all.deb
Size: 149996
MD5sum: 6f68a9af8a03a2b5226e065e8813138c
SHA1: 5c9f8413675acda519668a13f4e7ba3a31b01fc6
SHA256: 1a570f9ec159d79d48807b37be95281617a60dc338182d2d7ed8f781b9cb65bd
SHA512: 371d9c69adb57902323faf88d5053c1ff36d563542ceea39d03c5d4aa80064d3942988185dc36e91885c95a75de46b3772cda94b25e9e1903a9b1ce0421b4606
Homepage: https://cran.r-project.org/package=gesca
Description: CRAN Package 'gesca' (Generalized Structured Component Analysis Structural EquationModeling)
 Implementing generalized structured component analysis (GSCA) and its basic
 extensions, including constrained single and multiple group analysis, and
 second order latent variable modeling. For a comprehensive overview of GSCA,
 see Hwang & Takane (2014, ISBN: 9780367738754).

Package: r-cran-gescilivis
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 740
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rentrez, r-cran-biomartr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gescilivis_1.2.0-1.ca2004.1_all.deb
Size: 635656
MD5sum: 508176d4088d273768ff3b6d54fbecca
SHA1: a8cd57907bb89efa25fc5c219fb555a76c570698
SHA256: 9be4a5dae431a36e4cd1adcbbdc6b0a1a180b1373e8a0b64e79f3b5523e260c4
SHA512: 7d1f3ba719c65605ce985cb63385172b6066dd2ab324344c95f5078d682027dc5778afe210c31ec53bdfdc8f1ca39f5b052a5d6acc66109e14e15e8b320bbbd7
Homepage: https://cran.r-project.org/package=GeSciLiVis
Description: CRAN Package 'GeSciLiVis' (Gene-Based Publication Activity Visualiser)
 Visualising publication activity per gene based on a gene list and a
 user-defined set of keywords utilising R 'rentrez'
 <https://cran.r-project.org/package=rentrez/> that provides 'NCBI'
 <https://www.ncbi.nlm.nih.gov> database search like in 'PubMed'
 <https://pubmed.ncbi.nlm.nih.gov>. It summarises the retrieved number of
 publications for each gene in an overview bar plot (saved as 'png' file) and
 by choice a summary table (as 'csv') that including the most recent 100
 'PubMed' IDs and publication titles.

Package: r-cran-gesisdata
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-foreign, r-cran-magrittr, r-cran-netstat, r-cran-rio, r-cran-rselenium, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gesisdata_0.1.2-1.ca2004.1_all.deb
Size: 679296
MD5sum: b39cb165ee02b6d56f54d0d4f34d51ec
SHA1: c87921217028a30f7995202d2ce244772702b757
SHA256: 8f1286693b60476df3ecf7fba20c31ec9cc85274d2d837a32f46505ec9442321
SHA512: 6df078fe745a30dbe09daee73faea179d0dac3c145691581ccb73491969d8780796f51fb3bd6f994201b06981ba03a44e8e9a976ce42c210e90543e33d5e2b87
Homepage: https://cran.r-project.org/package=gesisdata
Description: CRAN Package 'gesisdata' (Reproducible Data Retrieval from the GESIS Data Archive)
 Reproducible, programmatic retrieval of datasets from the GESIS Data
 Archive.  The GESIS Data Archive <https://search.gesis.org> makes available
 thousands of invaluable datasets, but researchers using these datasets are
 caught in a bind.  The archive's terms and conditions bar dissemination of
 downloaded datasets to third parties, but to ensure that one's work can be
 reproduced, assessed, and built upon by others, one must provide access to
 the raw data one has employed.  The 'gesisdata' package cuts this knot by
 providing registered users with programmatic, reproducible access to GESIS
 datasets from within 'R'.

Package: r-cran-geslar
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 684
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-cli
Suggests: r-cran-bslib, r-cran-dt, r-cran-knitr, r-cran-leaflet, r-cran-leafpop, r-cran-lubridate, r-cran-patchwork, r-cran-plotly, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyalert, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-geslar_1.0-1-1.ca2004.1_all.deb
Size: 183376
MD5sum: a16a0c16250631fd29c7bd18a00a77bf
SHA1: 4027589f96a0bcf4684e334aef52f491ece89078
SHA256: 3eefa7cff55bcf38c23933409207980783eb3ea07ffae1d5f891094f7be72d80
SHA512: d3259f4d560b59deaad0b27a56dfacdee217ff17ecf3dbd3e8e4eb325c2d2df70e2020c0dc03169a125a686d6241b29d5797be9f404cadf120ae9daef3e36235
Homepage: https://cran.r-project.org/package=geslaR
Description: CRAN Package 'geslaR' (Get and Manipulate the GESLA Dataset)
 Promote access to the GESLA <https://gesla787883612.wordpress.com> (Global
 Extreme Sea Level Analysis) dataset, a higher-frequency sea-level record
 data from all over the world. It provides functions to download it entirely,
 or query subsets directly into R, without the need of downloading the full
 dataset. Also, it provides a built-in web-application, so that users can
 apply basic filters to select the data of interest, generating informative
 plots, and showing the selected sites.

Package: r-cran-gestalt
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-magrittr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gestalt_0.2.0-1.ca2004.1_all.deb
Size: 188644
MD5sum: 66c84f5810b9d18d9af4928eb32b03f9
SHA1: 53adf00d6b4971dded91e4cb25b55ffdae7a4589
SHA256: d230a95f6cbc0a40ea722572f6a927b51c6c9c89294604e4f707fc58015dfcbf
SHA512: 103cb285f2836cfb3721c8ce78f615da142d340107b9bb1d38dd6b43780328503dc6d949191379ac881410e3256f4f210fd3ab78075fc69b5e8ffc4d19245b60
Homepage: https://cran.r-project.org/package=gestalt
Description: CRAN Package 'gestalt' (Tools for Making and Combining Functions)
 Provides a suite of function-building tools centered around a (forward)
 composition operator, %>>>%, which extends the semantics of the 'magrittr'
 %>% operator and supports 'Tidyverse' quasiquotation. It enables you to
 construct composite functions that can be inspected and transformed as
 list-like objects. In conjunction with %>>>%, a compact function
 constructor, fn(), and a partial-application constructor, partial(), are
 also provided; both support quasiquotation.

Package: r-cran-gestate
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1186
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-shiny, r-cran-shinythemes, r-cran-survival
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gestate_1.6.0-1.ca2004.1_all.deb
Size: 695552
MD5sum: 161e883558b1f41d3e448659f40bb41a
SHA1: ca247cb06a3c6822a32e83e5f823532bbd0a64f9
SHA256: bc6540ddbf1b3fcdba43fcf9adace86bdef1cdd5c65549f153d40c23cec810bf
SHA512: 4c53e062c093e9bba102c77749225a505ae28d6c6c833aea0669034f547fa219cc201102c4ec663aa9752eb17db9e7022d9fa73eb3fe881c3ba9ca5d12c81f5e
Homepage: https://cran.r-project.org/package=gestate
Description: CRAN Package 'gestate' (Generalised Survival Trial Assessment Tool Environment)
 Provides tools to assist planning and monitoring of time-to-event trials
 under complicated censoring assumptions and/or non-proportional hazards.
 There are three main components: The first is analytic calculation of
 predicted time-to-event trial properties, providing estimates of expected
 hazard ratio, event numbers and power under different analysis methods. The
 second is simulation, allowing stochastic estimation of these same
 properties. Thirdly, it provides parametric event prediction using blinded
 trial data, including creation of prediction intervals. Methods are based
 upon numerical integration and a flexible object-orientated structure for
 defining event, censoring and recruitment distributions (Curves).

Package: r-cran-gestr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-gestr_0.1-1.ca2004.1_all.deb
Size: 436120
MD5sum: 5c50b909d8fe9f0bdad8b7ab174c89be
SHA1: e75af368b20b3a271c7d7c135ef9e3786cd9037b
SHA256: cef9341d8dbadcacd4b9c96a1697d5497af11839b74336bfe81a72c16bf68114
SHA512: e6ca2c3b1cb59a986b47167caa8b303669efb01547d4f090e44ef0ecb4daf0c9943435434a353c2e2c64d6bf4688592ab1468dddf55e3eec7931e04af69e0834
Homepage: https://cran.r-project.org/package=GESTr
Description: CRAN Package 'GESTr' (Gene Expression State Transformation)
 The Gene Expression State Transformation (GESTr) models the states of
 expression of genes across a compendium of samples in order to provide a
 universal scale of gene expression for all genes. TranSAM is a modification
 of the SAM approach designed to utilise GESTr-transformed gene expression
 data.

Package: r-cran-gesttools
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-datacombine, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect, r-cran-geem, r-cran-rsample, r-cran-nnet, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gesttools_1.3.0-1.ca2004.1_all.deb
Size: 94616
MD5sum: 3aca6a00eacff01b65c134df75d332b8
SHA1: 928eddc751fe34b2a6c154881015f05a44762a09
SHA256: 2a908d59504dc7f37c486f4b281feaa47ceecbb90f3a7d7ed23aeba6dd469946
SHA512: ce028f6a6b39a4d41c50a6a846fed99712e9c2f2a9f0402ebcfee53fb52cd9ffe9a1640bb02801845d244093f19869fe51e24f93b2305a23b8bdad64d33f6159
Homepage: https://cran.r-project.org/package=gesttools
Description: CRAN Package 'gesttools' (General Purpose G-Estimation for End of Study or Time-VaryingOutcomes)
 Provides a series of general purpose tools to perform g-estimation using the
 methods described in Sjolander and Vansteelandt (2016)
 <doi:10.1515/em-2015-0005> and Dukes and Vansteelandt
 <doi:10.1093/aje/kwx347>. The package allows for g-estimation in a wide
 variety of circumstances, including an end of study or time-varying outcome,
 and an exposure that is a binary, continuous, or a categorical variable with
 three or more categories. The package also supports g-estimation with
 time-varying causal effects and effect modification by a confounding
 variable.

Package: r-cran-get
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4407
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cluster, r-cran-ggplot2, r-cran-gridextra, r-cran-viridislite
Suggests: r-cran-crayon, r-cran-geor, r-cran-gstat, r-cran-fda, r-cran-fda.usc, r-cran-locfit, r-cran-mvtnorm, r-cran-patchwork, r-cran-quantreg, r-cran-r.rsp, r-cran-sf, r-cran-sp, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.knet, r-cran-spatstat.linnet, r-cran-spatstat.model, r-cran-spatstat.random, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-get_1.0-7-1.ca2004.1_all.deb
Size: 4180968
MD5sum: 250aaf7045c98be992a9396bba98b8c4
SHA1: 6635e384b43a4e4ee6bceb01eebd90cfc33069e0
SHA256: efeea9d9537921a9da6b7d9c8509c129eaddab8ad729b7feccc9462ee8581ea0
SHA512: 1cfadca35358d028f3fc4425d1e739fdfe542631759d0742c730e66871f424befd1fa5b64da2cfae71562dc50dfbf5de747e86f3525657856727b7cf78907f3d
Homepage: https://cran.r-project.org/package=GET
Description: CRAN Package 'GET' (Global Envelopes)
 Implementation of global envelopes for a set of general d-dimensional
 vectors T in various applications. A 100(1-alpha)% global envelope is a band
 bounded by two vectors such that the probability that T falls outside this
 envelope in any of the d points is equal to alpha. Global means that the
 probability is controlled simultaneously for all the d elements of the
 vectors. The global envelopes can be used for graphical Monte Carlo and
 permutation tests where the test statistic is a multivariate vector or
 function (e.g. goodness-of-fit testing for point patterns and random sets,
 functional analysis of variance, functional general linear model, n-sample
 test of correspondence of distribution functions), for central regions of
 functional or multivariate data (e.g.  outlier detection, functional
 boxplot) and for global confidence and prediction bands (e.g. confidence
 band in polynomial regression, Bayesian posterior prediction). See Myllymäki
 and Mrkvička (2024) <doi:10.18637/jss.v111.i03>, Myllymäki et al. (2017)
 <doi:10.1111/rssb.12172>, Mrkvička and Myllymäki (2023)
 <doi:10.1007/s11222-023-10275-7>, Mrkvička et al. (2016)
 <doi:10.1016/j.spasta.2016.04.005>, Mrkvička et al. (2017)
 <doi:10.1007/s11222-016-9683-9>, Mrkvička et al. (2020)
 <doi:10.14736/kyb-2020-3-0432>, Mrkvička et al. (2021)
 <doi:10.1007/s11009-019-09756-y>, Myllymäki et al. (2021)
 <doi:10.1016/j.spasta.2020.100436>, Mrkvička et al. (2022)
 <doi:10.1002/sim.9236>, Dai et al. (2022) <doi:10.5772/intechopen.100124>,
 Dvořák and Mrkvička (2022) <doi:10.1007/s00180-021-01134-y>, Mrkvička et al.
 (2023) <doi:10.48550/arXiv.2309.04746>, and Konstantinou et al. (2024) <doi:
 10.1007/s00180-024-01569-z>.

Package: r-cran-getable
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Suggests: r-cran-jsonlite, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getable_1.0.3-1.ca2004.1_all.deb
Size: 23040
MD5sum: a35245ebf6889f8dec277987e5577d45
SHA1: 5af99e0774dd6a8ba742070802511337f0940f48
SHA256: 9964155232f4e7675be3c46cf858f51c65225181dd116852be444a3088a298d2
SHA512: cf72d4a17cd770b2a867e3aaf83a78408d08a9d8ce98ff041383e0046e0cd94b89dd90b50fb045cd77c6da68607a462514057ba5eb8a83d5a0f3041090704a75
Homepage: https://cran.r-project.org/package=getable
Description: CRAN Package 'getable' (Fetching Tabular Data "Onload" in Compiled R Markdown HTMLDocuments)
 Dynamically retrieve data from the web to render HTML tables on inspection
 in R Markdown HTML documents.

Package: r-cran-getbcbdata
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-curl, r-cran-dplyr, r-cran-future, r-cran-furrr, r-cran-jsonlite, r-cran-memoise, r-cran-purrr, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-getbcbdata_0.9.0-1.ca2004.1_all.deb
Size: 39072
MD5sum: 3ced46568b59b4b9c08b2003f17ff415
SHA1: 97e2fdfb66ddf40d9310badbb30f9b06db90968d
SHA256: 9d26c354308714463c4ca649ca0f62537d06b9fd2a0017d227f2baa0fa96db7f
SHA512: 87c7af1d7c47ff2dce2d622a6fc0826f582637c9d15821fda44b8a418a93c2f664a95bb520208fc553ffca593b7a25a69f10282eb783671fbc80201ab3954854
Homepage: https://cran.r-project.org/package=GetBCBData
Description: CRAN Package 'GetBCBData' (Imports Datasets from BCB (Central Bank of Brazil) using ItsOfficial API)
 Downloads and organizes datasets using BCB's API <https://www.bcb.gov.br/>.
 Offers options for caching with the 'memoise' package and ,
 multicore/multisession with 'furrr' and format of output data (long/wide).

Package: r-cran-getcrucldata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-data.table, r-cran-hoardr, r-cran-rlang, r-cran-terra
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rappdirs, r-cran-rmarkdown, r-cran-roxygen2, r-cran-roxyglobals, r-cran-spelling, r-cran-testthat, r-cran-viridis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-getcrucldata_1.0.3-1.ca2004.1_all.deb
Size: 595616
MD5sum: adeb26691b79ccad2359492f499dbb97
SHA1: c682481395ca5db31eef336764ed7479c45b59f0
SHA256: 661586e34e93bfb404714e5c490aef500cc7a0392483b996c637c6658b43712c
SHA512: c1c4b00c5b4f49b3ff5db02b08f9f44733ba6306c218f468e1f98746ed566ec7db7de8c92eb676ccc0f3e1898c6cc39a5812de5400d56fda75e49d2ab1c2bdce
Homepage: https://cran.r-project.org/package=getCRUCLdata
Description: CRAN Package 'getCRUCLdata' ('CRU' 'CL' v. 2.0 Climatology Client)
 Provides functions that automate downloading and importing University of
 East Anglia Climate Research Unit ('CRU') 'CL' v. 2.0 climatology data,
 facilitates the calculation of minimum temperature and maximum temperature
 and formats the data into a data.table object or a list of 'terra' 'rast'
 objects for use.  'CRU' 'CL' v. 2.0 data are a gridded climatology of
 1961-1990 monthly means released in 2002 and cover all land areas (excluding
 Antarctica) at 10 arc minutes (0.1666667 degree) resolution.  For more
 information see the description of the data provided by the University of
 East Anglia Climate Research Unit,
 <https://crudata.uea.ac.uk/cru/data/hrg/tmc/readme.txt>.

Package: r-cran-getdesigns
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-getdesigns_1.2.0-1.ca2004.1_all.deb
Size: 20780
MD5sum: 0dcc20ff19fdd9d3df8d5b5145e99635
SHA1: b90d9dfe7f5ff5ecfc1cc2e5059ee48a77d5d5eb
SHA256: bd3ad2e70fa5ea6d62f2c0b8f114fc2e0062a2a8ed3d8c1df15342a6ca4f88d2
SHA512: 1bd2a48fb4174ad7ad7cd90ed67786dfdc62bf52656fbd77107d8088b1e144101c56030b52c409d5c9b26ebe764076d3489195cd4a90f56582b00efcff9336d2
Homepage: https://cran.r-project.org/package=GETdesigns
Description: CRAN Package 'GETdesigns' (Generalized Extended Triangular Designs ('GETdesigns'))
 Since their introduction by Bose and Nair (1939)
 <https://www.jstor.org/stable/40383923>, partially balanced incomplete block
 (PBIB) designs remain an important class of incomplete block designs. The
 concept of association scheme was used by Bose and Shimamoto (1952)
 <doi:10.1080/01621459.1952.10501161> for the classification of these
 designs. The constraint of resources always motivates the experimenter to
 advance towards PBIB designs, more specifically to higher associate class
 PBIB designs from balanced incomplete block designs. It is interesting to
 note that many times higher associate PBIB designs perform better than their
 counterpart lower associate PBIB designs for the same set of parameters v,
 b, r, k and lambda_i (i=1,2...m). This package contains functions named
 GETD() for generating m-associate (m>=2) class PBIB designs along with
 parameters (v, b, r, k and lambda_i, i = 1, 2,…,m) based on Generalized
 Triangular (GT) Association Scheme. It also calculates the Information
 matrix, Average variance factor and canonical efficiency factor of the
 generated design. These designs, besides having good efficiency, require
 smaller number of replications and smallest possible concurrence of
 treatment pairs.

Package: r-cran-getdfpdata2
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-xml2, r-cran-dplyr, r-cran-readr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-memoise, r-cran-rvest, r-cran-tidyr, r-cran-rcurl, r-cran-shiny, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-covr, r-cran-fs
Filename: pool/dists/focal/main/r-cran-getdfpdata2_0.6.3-1.ca2004.1_all.deb
Size: 52276
MD5sum: 828b25246649d46701961cef8da98020
SHA1: 2ce0cfe375f5c938f2b01a71198ccf807eabf351
SHA256: bb8047c23e3c1d6f9bd72eceae438b42cb0ea1a6d43b868b3db4e79d3b2e4586
SHA512: 2995b297eeeee1b39f35728931c600d31e7acf52868566210e170a432e47483ec6ce649e06101fc5573f3144651b8ea3fcdd81eac4db0d54b4e85328b4ba5a28
Homepage: https://cran.r-project.org/package=GetDFPData2
Description: CRAN Package 'GetDFPData2' (Reading Annual and Quarterly Financial Reports from B3)
 Reads annual and quarterly financial reports from companies traded at B3,
 the Brazilian exchange <https://www.b3.com.br/>.  All data is downloaded and
 imported from CVM's public ftp site
 <https://dados.cvm.gov.br/dados/CIA_ABERTA/>.

Package: r-cran-getdfpdata
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1877
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-xml, r-cran-dplyr, r-cran-readr, r-cran-reshape2, r-cran-tibble, r-cran-xlsx, r-cran-curl, r-cran-lubridate, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-getdfpdata_1.6-1.ca2004.1_all.deb
Size: 1743736
MD5sum: 79a20a3ce1654756ae36b7328e666f1f
SHA1: 980086ceeee075d5ab58f1d7dbd5fa0c004632e8
SHA256: aa10cc1a058f5f6adf2ad9e58895155cb02e786d90f8a3bd3bf8da66fef4b2a6
SHA512: ce6b6e461951a1a26549aca181d4639e7db397562a1b33d31cdfdc9e670df6600812ce902b02370cb1ac3341d71426c0824de05328d41948ececa1434c55f751
Homepage: https://cran.r-project.org/package=GetDFPData
Description: CRAN Package 'GetDFPData' (Reading Annual Financial Reports from Bovespa's DFP, FRE and FCASystem)
 Reads annual financial reports including assets, liabilities, dividends
 history, stockholder composition and much more from Bovespa's DFP, FRE and
 FCA systems
 <http://www.b3.com.br/pt_br/produtos-e-servicos/negociacao/renda-variavel/empresas-listadas.htm>.
 These are web based interfaces for all financial reports of companies traded
 at Bovespa. The package is specially designed for large scale data
 importation, keeping a tabular (long) structure for easier processing.

Package: r-cran-getdteval
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-formulaic, r-cran-microbenchmark
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat, r-cran-covr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-getdteval_0.0.2-1.ca2004.1_all.deb
Size: 244832
MD5sum: 66b7bc39b41007f8edb88a63072262ad
SHA1: e5a14080b4bc282ce70fe01b45103a718dd1f7d9
SHA256: 2a4f7fb5da83488f9b1228f1268f3010d7156ca916eb3ce8ad40dfb7a1b91d84
SHA512: 313cf45d1c3dd8cc57fe395681ba11bd00be294262ae14e8b0306d55a24e6e6399d8914a889820961833b8c3c934a931076348c8a56ffa557511f7fcfd2f7572
Homepage: https://cran.r-project.org/package=getDTeval
Description: CRAN Package 'getDTeval' (Translating Coding Statements using get() and eval() forImproved Run-Time Coding Efficiency)
 The getDTeval() function facilitates the translation of the original coding
 statement to an optimized form for improved runtime efficiency without
 compromising on the programmatic coding design.  The function can either
 provide a translation of the coding statement, directly evaluate the
 translation to return a coding result, or provide both of these outputs.

Package: r-cran-getfredata
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-xml2, r-cran-dplyr, r-cran-readr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rvest, r-cran-xml, r-cran-getdfpdata2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-getfredata_0.8.1-1.ca2004.1_all.deb
Size: 71660
MD5sum: 0b6d614714b9b0c37cfc8324fb450091
SHA1: e39e4a218dc84c5d2e4ca9ad3f448c86e5794446
SHA256: 18774f0435e19cd930cb9e864770c02879739f080b1644dce54ab64c57b17c3a
SHA512: b2aa0ad05110d974e707af2d5ce2f373cd92038a570a32cd75e105285222054631de08fce841303a6c3d22ab8ab40afab33c36d9d3ed3106630c93a2894aedce
Homepage: https://cran.r-project.org/package=GetFREData
Description: CRAN Package 'GetFREData' (Reading FRE Corporate Data of Public Traded Companies from B3)
 Reads corporate data such as board composition and compensation for
 companies traded at B3, the Brazilian exchange <https://www.b3.com.br/>. All
 data is downloaded and imported from the ftp site
 <http://dados.cvm.gov.br/dados/CIA_ABERTA/DOC/FRE/>.

Package: r-cran-gethr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 510
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gethr_0.1.0-1.ca2004.1_all.deb
Size: 425772
MD5sum: bcaeb907835020926da691bf7cdaa9f1
SHA1: 168f0a63e7676d2eed8d4d6a89d00350f2939908
SHA256: 5967ca7fc3fa6e99edf5e8c905317895215ea6241ce73fd0aba6bc3f69f7a879
SHA512: 6f81df0b877d22293ebc4c75fa85be90106a0b249f6a32a21a9e4e557a028cd49f3853a486fb6d93609c3d85e0d1d661061244efc672a003234e92028c0e33d7
Homepage: https://cran.r-project.org/package=gethr
Description: CRAN Package 'gethr' (Access to Ethereum-Based Blockchains Through Geth Nodes)
 Full access to the Geth command line interface for running full Ethereum
 nodes. With gethr it is possible to carry out different tasks such as mine
 ether, transfer funds, create contacts, explore block history, etc. The
 package also provides access to all the available APIs.  The officially
 exposed by Ethereum blockchains (eth, shh, web3, net) and some provided
 directly by Geth (admin, debug, miner, personal, txpool). For more details
 on Ethereum, access the project website <https://www.ethereum.org/>. For
 more details on the Geth client, access the project website
 <https://github.com/ethereum/go-ethereum/wiki/geth/>.

Package: r-cran-getlandsat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1607
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-crul, r-cran-xml2, r-cran-data.table, r-cran-tibble, r-cran-rappdirs
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-raster
Filename: pool/dists/focal/main/r-cran-getlandsat_0.2.0-1.ca2004.1_all.deb
Size: 617348
MD5sum: a095faa4338cb03f83d13ca953b2f2c2
SHA1: 26fda0298595ceb0641db32ea50ebf87b0ba7266
SHA256: a44b6051961b4170b9ba18b2e588e04fd9f4ae9f004d65cba258176bd95c290f
SHA512: cc5ba7fb6d69404a5da18c1cacf93d614e73900990d68a87caa0e9dbfc4dbbce899aa57f639b770cfb686d29e4f8d30045a9c45ac36cb2082b4c74e85e463124
Homepage: https://cran.r-project.org/package=getlandsat
Description: CRAN Package 'getlandsat' (Get Landsat 8 Data from Amazon Public Data Sets)
 Get Landsat 8 Data from Amazon Web Services ('AWS') public data sets
 (<https://registry.opendata.aws/landsat-8/>).  Includes functions for
 listing images and fetching them, and handles caching to prevent unnecessary
 additional requests.

Package: r-cran-getlattes
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3739
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-dplyr, r-cran-tibble, r-cran-piper, r-cran-rlang, r-cran-janitor, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getlattes_0.2.0-1.ca2004.1_all.deb
Size: 2831272
MD5sum: a5ac9fc0a610b26b46225df7cb50c459
SHA1: 5ba92c58727199557fbc4705d168a26194ef8855
SHA256: eade9587d970665e01fe1e1cb106385bf3003c2fc824e2cca49d021b901de02f
SHA512: 0ecd3b6288de0abebacd56a1c61472b9504601fed80199c2fff4184f6797149f4f890fa3e700a60958bccdd9a8ba0c900c7448f9a881924a5ed67d138469dcf7
Homepage: https://cran.r-project.org/package=getLattes
Description: CRAN Package 'getLattes' (Import and Process Data from the 'Lattes' Curriculum Platform)
 Tool for import and process data from 'Lattes' curriculum platform
 (<http://lattes.cnpq.br/>). The Brazilian government keeps an extensive base
 of curricula for academics from all over the country, with over 5 million
 registrations. The academic life of the Brazilian researcher, or related to
 Brazilian universities, is documented in 'Lattes'. Some information that can
 be obtained: professional formation, research area, publications, academics
 advisories, projects, etc. 'getLattes' package allows work with 'Lattes'
 data exported to XML format.

Package: r-cran-getlattesdata
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-xml, r-cran-dplyr, r-cran-readr, r-cran-stringdist, r-cran-curl, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-readxl, r-cran-purrr, r-cran-xml2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-getlattesdata_1.5-1.ca2004.1_all.deb
Size: 3747708
MD5sum: eeae9f46baa897878c92fc8173490247
SHA1: 8303491e1fbab69dd727e5fcb8ba9cb0ce22acfa
SHA256: f5d2afc8ef1dec127caa24d0012e1df48ddc7233641c23b5de5893fae032247b
SHA512: cc703f0d8d0686c3c9cc3703d909622541445cca007348de3daa5aff47f2bd785111c752739e4659f139800a300b68943603f8601475b6bf5ab42cfb970aa7df
Homepage: https://cran.r-project.org/package=GetLattesData
Description: CRAN Package 'GetLattesData' (Reading Bibliometric Data from Lattes Platform)
 A simple API for downloading and reading xml data directly from Lattes
 <http://lattes.cnpq.br/>.

Package: r-cran-getmet
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ecohydrology, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-getmet_0.3.2-1.ca2004.1_all.deb
Size: 41688
MD5sum: 752bdda8b95848f67048bccdacbfc6d7
SHA1: 0dd4896d1baf23623635cf61804123ab72ae90d3
SHA256: 0cd3dba31c0c6d3870c5521128378567c79d7581dc05bf973c44789375fa032d
SHA512: 8fcd05dc949ccce17b6a382ccbddcdcfb80b56b0e7e49e196f64d212eea85dec99d50759b66c64e909b1dacbf310ae613cf3c9c1140778d560276617d904dd3c
Homepage: https://cran.r-project.org/package=getMet
Description: CRAN Package 'getMet' (Get Meteorological Data for Hydrologic Models)
 Hydrologic models often require users to collect and format input
 meteorological data. This package contains functions for sourcing,
 formatting, and editing meteorological data for hydrologic models.

Package: r-cran-getmstatistic
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-gtable, r-cran-metafor, r-cran-psych, r-cran-stargazer
Suggests: r-cran-foreign, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getmstatistic_0.2.2-1.ca2004.1_all.deb
Size: 416732
MD5sum: bf37b5096f73b268ebcf6998ffc437f1
SHA1: d06651454572cfbf2f719451e1fb661c4a3735d4
SHA256: 7f75f112aa1ec34dfd6d8dcbe21d7e0139f90b4c160332d91ce9ba815ecf32b1
SHA512: a600e07043b951dae1387d5d17100c5eae4375626aa4d1d808aaa78084979989d5237a1845ca44c9b4f8fe5894b85558e3693948b2ccbe519ebc1cc552453216
Homepage: https://cran.r-project.org/package=getmstatistic
Description: CRAN Package 'getmstatistic' (Quantifying Systematic Heterogeneity in Meta-Analysis)
 Quantifying systematic heterogeneity in meta-analysis using R.  The M
 statistic aggregates heterogeneity information across multiple variants to,
 identify systematic heterogeneity patterns and their direction of effect in
 meta-analysis. It's primary use is to identify outlier studies, which either
 show "null" effects or consistently show stronger or weaker genetic effects
 than average across, the panel of variants examined in a GWAS meta-analysis.
 In contrast to conventional heterogeneity metrics (Q-statistic, I-squared
 and tau-squared) which measure random heterogeneity at individual variants,
 M measures systematic (non-random) heterogeneity across multiple
 independently associated variants. Systematic heterogeneity can arise in a
 meta-analysis due to differences in the study characteristics of
 participating studies. Some of the differences may include: ancestry, allele
 frequencies, phenotype definition, age-of-disease onset, family-history,
 gender, linkage disequilibrium and quality control thresholds. See
 <https://magosil86.github.io/getmstatistic/> for statistical statistical
 theory, documentation and examples.

Package: r-cran-getopt
Architecture: all
Version: 1.20.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-getopt_1.20.4-1.ca2004.1_all.deb
Size: 37740
MD5sum: 19d074f374459ecdc05dd8d556dd1f19
SHA1: 09fa793f5293977f611ea7c0cf03d980143ca48b
SHA256: 8539dfc3ada685caef27acfb4cb85b8161f54bf4f5876d7c8c27d4c76b6cd526
SHA512: 20112e206ffe460eed64beeaf1bc28d1f174f708f27a5086ca83365bcc7e7bd26e7f78fdf80de36ba005e15be114cc7bd22a80f9b420e3c3a171b497ef15c1c4
Homepage: https://cran.r-project.org/package=getopt
Description: CRAN Package 'getopt' (C-Like 'getopt' Behavior)
 Package designed to be used with Rscript to write '#!' shebang scripts that
 accept short and long flags/options.  Many users will prefer using instead
 the packages optparse or argparse which add extra features like
 automatically generated help option and usage, support for default values,
 positional argument support, etc.

Package: r-cran-getoptlong
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2494
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-globaloptions, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getoptlong_1.0.5-1.ca2004.1_all.deb
Size: 696340
MD5sum: e00fef20158d13255f28aa442824b8fa
SHA1: c1f04dc1bb2521f40e16a9e0662f39dc325f6fa1
SHA256: aa525277b342cb4ecad05980126fb9ce7b3aff102d67b483bf7da331e992730a
SHA512: 9538c7a8d7eea73f98c1a66619d373c92b3266004be450d618020fb940de8907526f6f91b8f0265f9dfda19e230badf2dc540567178da75b30ed56c09bbf0fb8
Homepage: https://cran.r-project.org/package=GetoptLong
Description: CRAN Package 'GetoptLong' (Parsing Command-Line Arguments and Simple Variable Interpolation)
 This is a command-line argument parser which wraps the powerful Perl module
 Getopt::Long and with some adaptations for easier use in R. It also provides
 a simple way for variable interpolation in R.

Package: r-cran-getproxy
Architecture: all
Version: 1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-cli
Filename: pool/dists/focal/main/r-cran-getproxy_1.13-1.ca2004.1_all.deb
Size: 78352
MD5sum: 196431e13f453b8537cce05677622a97
SHA1: 99b7c2d31c27d51134d56a297e09c30eec4d95fc
SHA256: 46a99b356386f201ca035966826b65ce12f64baa11a72d1697e28e6d607776a4
SHA512: 29c83024fa52672162c0620cdf71984ca0306ddce62ac718cf4ec625ebaa5fd6784deb9734f49af0ae4c5a834045e0c99bf8dab83dc2d85f767f4b5e58343854
Homepage: https://cran.r-project.org/package=getProxy
Description: CRAN Package 'getProxy' (Get Free Proxy IP and Port)
 Allows get address and port of the free proxy server, from one of two
 services <http://gimmeproxy.com/> or <https://getproxylist.com/>.  And it's
 easy to redirect your Internet connection through a proxy server.

Package: r-cran-getpublist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-getpublist_0.1.0-1.ca2004.1_all.deb
Size: 16268
MD5sum: 2c30686eb94f80841f58e03ca0577c93
SHA1: 3829ae4fb0974237462384726609a0bbf37533e9
SHA256: 7bd7b3198c17cc783ba134c8e7822819e1996ada0008e6a44403d4140e822b2a
SHA512: eeb7f18802c93abbd68c432dd45ccbcd0adb9e39e189943973a83dd908b0dd1e2de11a3cf845d646ceff49bdbe0c808ec0aa5905e82ce9349cb7f61ffc729af6
Homepage: https://cran.r-project.org/package=getpublist
Description: CRAN Package 'getpublist' (Obtain a List of Publications from 'PubMed' and 'Google Scholar')
 Use web scraping for 'PubMed'(<https://pubmed.ncbi.nlm.nih.gov>) and 'Google
 Scholar' profile page (for example
 <https://scholar.google.com/citations?user=lOOV8rwAAAAJ&hl=en>) to get all
 of the published information from the search page. Then placing it on a
 table.

Package: r-cran-getquandldata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-memoise, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-getquandldata_1.0.0-1.ca2004.1_all.deb
Size: 33668
MD5sum: efaf2a8e0d4b129c1bb07621fea617f2
SHA1: 0529893a7d729a05288ac323b8d79a144f4a64d9
SHA256: 5ddcbe05cd52406070188df42bd5e89294d84b48a1a5f8f3b4c83c7ff52fc708
SHA512: 1b2db92aff2ff5446d71d76b01281aa529a81967c08cb118192cc014c204e6a80a2ed8c8d11206365e32c6c7d01a1d088d6449530e624416ec3b7cd113801fef
Homepage: https://cran.r-project.org/package=GetQuandlData
Description: CRAN Package 'GetQuandlData' (Fast and Cached Import of Data from 'Quandl' Using the 'jsonAPI')
 Imports time series data from the 'Quandl' database
 <https://data.nasdaq.com/>. The package uses the 'json api' at
 <https://data.nasdaq.com/search>, local caching ('memoise' package) and the
 tidy format by default.  Also allows queries of databases, allowing the user
 to see which time series are available for each database id. In short, it is
 an alternative to package 'Quandl', with faster data importation in the
 tidy/long format.

Package: r-cran-getr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-party
Filename: pool/dists/focal/main/r-cran-getr_0.1-1.ca2004.1_all.deb
Size: 22408
MD5sum: 98b0ceabb057008ae68086aa6f655cee
SHA1: cd86ef237b51d9cef51f1300a0fc8b771ae0c11f
SHA256: d95e08af6395fd080d9c14317540355808d6e4b627be2ab56afcc86102ad2c22
SHA512: e299efd2e70fb13d535f9979b46a187893edf1ff106b2eaa3f85b08ae4be91a9fe7da07333740740846c882dfdb2a0c0aa9886e0cd6fca2ec3518abf02d3c3b2
Homepage: https://cran.r-project.org/package=GetR
Description: CRAN Package 'GetR' (GetR: Calculate Guttman error trees in R)
 The GetR package calculates Guttman error trees, which can be used to find
 homogeneous subgroups regarding Guttman errors.

Package: r-cran-gets
Architecture: all
Version: 0.38-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1761
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo
Suggests: r-cran-lgarch, r-cran-xtable, r-cran-matrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gets_0.38-1.ca2004.1_all.deb
Size: 1555048
MD5sum: 70c0f9595d91ecacc8374fecd235171a
SHA1: f5aa574dcc374bcf0da0f27422a6423902513fec
SHA256: 9afb8cea5acf12325b236d6d9d5871a457ed6dcbc05c51bac225357a8bfd307a
SHA512: a9a3dc30d6a750593cb144e32967bc20b7ab89fa34892805d3a9b447cd087ad7cc0626db1713f166ea1f7351c2332148ac8acf6a5b4c5f8fc226bda3d81ee022
Homepage: https://cran.r-project.org/package=gets
Description: CRAN Package 'gets' (General-to-Specific (GETS) Modelling and Indicator SaturationMethods)
 Automated General-to-Specific (GETS) modelling of the mean and variance of a
 regression, and indicator saturation methods for detecting and testing for
 structural breaks in the mean, see Pretis, Reade and Sucarrat (2018)
 <doi:10.18637/jss.v086.i03> for an overview of the package. In advanced use,
 the estimator and diagnostics tests can be fully user-specified, see
 Sucarrat (2021) <doi:10.32614/RJ-2021-024>.

Package: r-cran-getspanel
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3331
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gets, r-cran-fastdummies, r-cran-matrix, r-cran-ggplot2, r-cran-mvtnorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lfe, r-cran-prettydoc, r-cran-plm, r-cran-fixest, r-cran-lmtest, r-cran-sandwich, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-getspanel_0.2.1-1.ca2004.1_all.deb
Size: 2075660
MD5sum: a1823e60c31608f1021ee997d17848d6
SHA1: b7f2bdccd9f7da736bf8fd3bebd0e5b8bf2e63df
SHA256: 7a89b53d06fc42451441f8981f486de00a6e6d4957b7a07fc009fdf42d5b7784
SHA512: c42e36a201036dff6825cf47af1ac867fa5afecb4e213f15aaa78b12c585281231a0dc392d6bce78fcf1668f794f8cf57c4149c0a93dd437f37ef1d7953ccfe9
Homepage: https://cran.r-project.org/package=getspanel
Description: CRAN Package 'getspanel' (General-to-Specific Modelling of Panel Data)
 Uses several types of indicator saturation and automated General-to-Specific
 (GETS) modelling from the 'gets' package and applies it to panel data. This
 allows the detection of structural breaks in panel data, operationalising a
 reverse causal approach of causal inference, see Pretis and Schwarz (2022)
 <doi:10.2139/ssrn.4022745>.

Package: r-cran-getspres
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1778
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-dplyr, r-cran-plotrix, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-colorramps
Suggests: r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getspres_0.2.0-1.ca2004.1_all.deb
Size: 1207360
MD5sum: 213ac95c605e2146149820b68053c291
SHA1: c8c67a927f305dcd91ae10362a46e24237ce0ccd
SHA256: b53edd70b9f0722f4a6d57246ae317c970f78f371dc70b0c29d56a8461a89318
SHA512: 848c18e8d0be6d449c1bc3a25316c29d49fa39ded6db6adf9f2aba6fd85c117b515caafabbac4814cce19c6011392cd3277e92d71ef6f3b5b93d3fc6a31e71ad
Homepage: https://cran.r-project.org/package=getspres
Description: CRAN Package 'getspres' (SPRE Statistics for Exploring Heterogeneity in Meta-Analysis)
 An implementation of SPRE (standardised predicted random-effects) statistics
 in R to explore heterogeneity in genetic association meta- analyses, as
 described by Magosi et al. (2019) <doi:10.1093/bioinformatics/btz590>. SPRE
 statistics are precision weighted residuals that indicate the direction and
 extent with which individual study-effects in a meta-analysis deviate from
 the average genetic effect. Overly influential positive outliers have the
 potential to inflate average genetic effects in a meta-analysis whilst
 negative outliers might lower or change the direction of effect. See the
 'getspres' website for documentation and examples
 <https://magosil86.github.io/getspres/>.

Package: r-cran-gettddata
Architecture: all
Version: 1.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-readxl, r-cran-curl, r-cran-bizdays, r-cran-tidyr, r-cran-rvest, r-cran-xml2, r-cran-dplyr, r-cran-fs, r-cran-cli, r-cran-purrr, r-cran-tibble, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-covr, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-gettddata_1.5.7-1.ca2004.1_all.deb
Size: 188472
MD5sum: eddbf362be8f2adee66f17e91de7af9b
SHA1: 1df1844cb39f5060b5915b99ffaecf1bf526efe8
SHA256: cec7243591ce8b57e9c2c991436a93ada32841680448c424da63074e772cce7f
SHA512: 625fb09077107731ce960e36d56b059710d7f5839a308d5410a952ba034d90b56893a552d1842c80761e165fb7cdc3c9ef72630238cb0c512c893a6c99d424e1
Homepage: https://cran.r-project.org/package=GetTDData
Description: CRAN Package 'GetTDData' (Get Data for Brazilian Bonds (Tesouro Direto))
 Downloads and aggregates data for Brazilian government issued bonds directly
 from the website of Tesouro Direto <https://www.tesourodireto.com.br/>.

Package: r-cran-getwiki
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-getwiki_0.9.0-1.ca2004.1_all.deb
Size: 26300
MD5sum: cd5d7a8577abc55eb08bcbaa11e034e8
SHA1: 67a8258102d9e515d756720dcaf92ab5bb43974e
SHA256: a58a0045d26b93a672345ea1f3da4296e8e51776924af6a8cf4ee6e6a756a97a
SHA512: b2dc14dba4a35f813f59dc588d23b9a13d843505217253a2326d96e66c0bfb62bcd9976c16b22faf93d7089f85dddacf408707575f50993aa7bd149443e40f44
Homepage: https://cran.r-project.org/package=getwiki
Description: CRAN Package 'getwiki' (R Wrapper for Wikipedia Data)
 A simple wrapper for 'Wikipedia' data. Specifically, this package looks to
 fill a gap in retrieving text data in a tidy format that can be used for
 Natural Language Processing.

Package: r-cran-gevaco
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-rlrsim
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-gevaco_1.0.1-1.ca2004.1_all.deb
Size: 208256
MD5sum: 156936f328b6dde0cfbe457c2b5d7b1b
SHA1: 2753086f5d0db85a78f63837aa074e1cef527c0c
SHA256: 34d01b24bfd58b85a98275bcba3b64dd4448d7cdcc607fc3b8df03d52e29fb2b
SHA512: 116a2890ed3bacc932c1d13d037c124003ef2b21c8ad395b98c8eec9c0ff88110ccaf90b60a1708252e44023162cb31b345264a4ddf382388ccce6e46c0dfbb5
Homepage: https://cran.r-project.org/package=GEVACO
Description: CRAN Package 'GEVACO' (Joint Test of Gene and GxE Interactions via Varying Coefficients)
 A novel statistical model to detect the joint genetic and dynamic
 gene-environment (GxE) interaction with continuous traits in genetic
 association studies. It uses varying-coefficient models to account for
 different GxE trajectories, regardless whether the relationship is linear or
 not. The package includes one function, GxEtest(), to test a single genetic
 variant (e.g., a single nucleotide polymorphism or SNP), and another
 function, GxEscreen(), to test for a set of genetic variants. The method
 involves a likelihood ratio test described in Crainiceanu, C. M., and
 Ruppert, D. (2004) <doi:10.1111/j.1467-9868.2004.00438.x>.

Package: r-cran-gevcdn
Architecture: all
Version: 1.1.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-boot
Filename: pool/dists/focal/main/r-cran-gevcdn_1.1.6-2-1.ca2004.1_all.deb
Size: 82024
MD5sum: 190c3d65eedd1618aa730393990d5993
SHA1: 9040925135d7b4806d905c0a8063040f40d8918f
SHA256: 9168664a9b2f5bc0253c55f0536361d88af54a1c9bda93e9eade198162f6eccd
SHA512: 194d9b227104a998f7ae1f74aed9ab35db6d98b315cc7e04c6f3285c621ce435c276b495fc0884f72b8600db8c4b342c08789985f264d3289260d33ac35c5e6e
Homepage: https://cran.r-project.org/package=GEVcdn
Description: CRAN Package 'GEVcdn' (GEV Conditional Density Estimation Network)
 Implements a flexible nonlinear modelling framework for nonstationary
 generalized extreme value analysis in hydroclimatology following Cannon
 (2010) <doi:10.1002/hyp.7506>.

Package: r-cran-gexmap
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-multtest
Filename: pool/dists/focal/main/r-cran-gexmap_1.1.3-1.ca2004.1_all.deb
Size: 1282332
MD5sum: 33deef8afe5a744e9dc24ab9aefc5652
SHA1: fa1d9f6edb9c0c1b7c48257975dccacc8e1ed1bd
SHA256: a36e3ebf61bb206a9f561763551aaa0c4346d5030981be8aba1ca9d3b6d078cc
SHA512: 7443a53f6bd4ef36cbb4f853abe956b575471f6f4475eeaadc1291e2c432e3e87fc760f82ee884f9c39e8bcfd4d5beb044f9ba343738b2d3d2709fac2293f5fa
Homepage: https://cran.r-project.org/package=GExMap
Description: CRAN Package 'GExMap' (A visual, intuitive, easy to use software giving access to a newtype of information buried into your microarray data)
 Perform statistical tests to unveil genomic clusters, produces garphical
 interpretations of the statistical results in pdf files, perform a Gene
 Ontology analysis and produces graphic results in pdf files

Package: r-cran-gexp
Architecture: all
Version: 1.0-21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2096
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-jpeg, r-cran-png
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gexp_1.0-21-1.ca2004.1_all.deb
Size: 1579724
MD5sum: 474c844da58679e36c173f506771bdc1
SHA1: 3b41dc4a470d8248c1b3b9bec49b3eb21e18f906
SHA256: f1e11d173fc216eb7df5734ce9be78b0b541e945e1441edd94489d82afcd8abb
SHA512: 669f1f3110846ec6136443bd8e5657e49649091d9ec9b18fb43e5345b6256ffd4f2e5fb27c2dab50c962fd12c006fa24f01080ec90741bfe54d552c139974fc9
Homepage: https://cran.r-project.org/package=gexp
Description: CRAN Package 'gexp' (Generator of Experiments)
 Generates experiments - simulating structured or experimental data as:
 completely randomized design, randomized block design, latin square design,
 factorial and split-plot experiments (Ferreira, 2008, ISBN:8587692526; Naes
 et al., 2007 <doi:10.1002/qre.841>; Rencher et al., 2007,
 ISBN:9780471754985; Montgomery, 2001, ISBN:0471316490).

Package: r-cran-geysertimes
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-lubridate, r-cran-readr
Suggests: r-cran-curl, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-geysertimes_0.1.9-1.ca2004.1_all.deb
Size: 37868
MD5sum: be01d0580018a0b18cc3212769d145b9
SHA1: 1d9f07d5673ce3dbc9e43545d56a5b90227925a2
SHA256: 97e3b035bd27f9aaab34a3cb2ed62406d63709935917d9683edc8593d67fee75
SHA512: e226da12bbb3be040038d7e55f801aa1fcdf44ede32c70e72641d847699f53a1db38d6c925a8efd660486801a88f1d3789195da684a9e24bfb9c7de75384394c
Homepage: https://cran.r-project.org/package=geysertimes
Description: CRAN Package 'geysertimes' (Geyser Data from GeyserTimes.org)
 Download geyser eruption and observation data from the GeyserTimes site
 (<https://geysertimes.org>) and optionally store it locally. The vignette
 shows a simple analysis of downloading, accessing, and summarizing the data.

Package: r-cran-gfa
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gfa_1.0.5-1.ca2004.1_all.deb
Size: 152696
MD5sum: 29530851f81593858b3a568c332329a2
SHA1: 3200d901f46113502d26db6d1b61143003a43e7e
SHA256: db2ee4b8024c9188408da10887ad9a6f05ee001ddaedae1116c63cb470d6c480
SHA512: e5a7fe9240377716b74b2a52c42872ff38fdbbb44451aeb0319da196d7d8a5bfdeb0a113bbaf008ba484136ae5a6d10f168ce57ab2eeb4715db6f707f5703aff
Homepage: https://cran.r-project.org/package=GFA
Description: CRAN Package 'GFA' (Group Factor Analysis)
 Factor analysis implementation for multiple data sources, i.e., for groups
 of variables. The whole data analysis pipeline is provided, including
 functions and recommendations for data normalization and model definition,
 as well as missing value prediction and model visualization. The model group
 factor analysis (GFA) is inferred with Gibbs sampling, and it has been
 presented originally by Virtanen et al. (2012), and extended in Klami et al.
 (2015) <DOI:10.1109/TNNLS.2014.2376974> and Bunte et al. (2016)
 <DOI:10.1093/bioinformatics/btw207>; for details, see the citation info.

Package: r-cran-gfboost
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-pcapp, r-cran-mboost
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gfboost_0.1.1-1.ca2004.1_all.deb
Size: 151916
MD5sum: 66f8233981448043362fc53eab7f19c2
SHA1: 4bf9b26580463bed0e8dfe134c6e1650e7587300
SHA256: f4907f896f42fdc5f8601e988a7d90cec93eecfcce8ec0272b6fec4146ce61e8
SHA512: 3d5584c5c21968dc1d22b4f15d0653bda56a1ed0f26d7088ca3b70fc7be1c3fcba09c41679baafa269d1972ebc4e9cf1496576ccf4713e22b18497e1adb82ca9
Homepage: https://cran.r-project.org/package=gfboost
Description: CRAN Package 'gfboost' (Gradient-Free Gradient Boosting)
 Implementation of routines of the author's PhD thesis on gradient-free
 Gradient Boosting (Werner, Tino (2020) "Gradient-Free Gradient Boosting",
 URL '<https://oops.uni-oldenburg.de/id/eprint/4290>').

Package: r-cran-gfcanalysis
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-sf, r-cran-terra, r-cran-geosphere, r-cran-rcurl, r-cran-plyr, r-cran-ggplot2, r-cran-stringr, r-cran-animation, r-cran-rastervis
Filename: pool/dists/focal/main/r-cran-gfcanalysis_1.8.0-1.ca2004.1_all.deb
Size: 96024
MD5sum: ef5ffb588f0842c8f7c8f400435e533a
SHA1: d3b1a82ea454903814a9a7b2cf404f4227fbb90b
SHA256: 786fdfa4ba329c51332d9b52630c2b7e4df5ce2afefb537a80224f94e5c11229
SHA512: 82a3d845d7a045872d00ebbb19fa5f5e765ef6db9455d2c34c0d1f89d158371ae4e9975ae359b1fb9fd7856b72b26e727d405d1b481e6f11678cbb686e0dd595
Homepage: https://cran.r-project.org/package=gfcanalysis
Description: CRAN Package 'gfcanalysis' (Tools for Working with Hansen et al. Global Forest ChangeDataset)
 Supports analyses using the Global Forest Change dataset released by Hansen
 et al. gfcanalysis was originally written for the Tropical Ecology
 Assessment and Monitoring (TEAM) Network. For additional details on the
 Global Forest Change dataset, see: Hansen, M. et al. 2013. "High-Resolution
 Global Maps of 21st-Century Forest Cover Change." Science 342 (15 November):
 850-53. The forest change data and more information on the product is
 available at <http://earthenginepartners.appspot.com>.

Package: r-cran-gfd
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-mass, r-cran-matrix, r-cran-plotrix, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinythemes, r-cran-tippy
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-hsaur
Filename: pool/dists/focal/main/r-cran-gfd_0.3.3-1.ca2004.1_all.deb
Size: 388992
MD5sum: 4791ad2389fa57b39d01d20837ca99ed
SHA1: d58aea4ac73674e248a2182e789dc6544d02c4af
SHA256: 92d3b77715317b0c9bff0c69e85efa60968629402ccb9dca0350b4168acef79f
SHA512: d1f84cfa399d32dd334e41182cce47a439cbf6c7db3de476dbeec209ec9cca51e5c3097424b140d7b1766c12eab41070be4421e942e44d246ff65f0a2098f060
Homepage: https://cran.r-project.org/package=GFD
Description: CRAN Package 'GFD' (Tests for General Factorial Designs)
 Implemented are the Wald-type statistic, a permuted version thereof as well
 as the ANOVA-type statistic for general factorial designs, even with
 non-normal error terms and/or heteroscedastic variances, for crossed designs
 with an arbitrary number of factors and nested designs with up to three
 factors.  Friedrich et al. (2017) <doi:10.18637/jss.v079.c01>.

Package: r-cran-gfdrmst
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gfdmcv, r-cran-lpsolve, r-cran-shinywidgets, r-cran-shinymatrix, r-cran-shiny, r-cran-tippy, r-cran-mvtnorm, r-cran-mass, r-cran-plyr, r-cran-shinyjs, r-cran-shinythemes
Suggests: r-cran-condsurv
Filename: pool/dists/focal/main/r-cran-gfdrmst_0.1.1-1.ca2004.1_all.deb
Size: 109328
MD5sum: 8f3cb7f781e4b7ed2d8260ed4fdd75de
SHA1: 1a216a6899b488f7b7168ccea3dd40b0c71ecc80
SHA256: 722dceb518b686d0c70cca947f2b725e2831cd2ef758b94a00f4feef2d4cb901
SHA512: 391ce7a0ee1dd56fac7d4aed50acf12f565c30a89ecc3c1e78ef87f893388cfdc811a1368c9dd94ab4b8cbee59e58c8df8346d2667a3508fddc4eda7112ac6c7
Homepage: https://cran.r-project.org/package=GFDrmst
Description: CRAN Package 'GFDrmst' (Multiple RMST-Based Tests in General Factorial Designs)
 We implemented multiple tests based on the restricted mean survival time
 (RMST) for general factorial designs as described in Munko et al. (2024)
 <doi:10.1002/sim.10017>. Therefore, an asymptotic test, a groupwise
 bootstrap test, and a permutation test are incorporated with a Wald-type
 test statistic. The asymptotic and groupwise bootstrap test take the
 asymptotic exact dependence structure of the test statistics into account to
 gain more power. Furthermore, confidence intervals for RMST contrasts can be
 calculated and plotted and a stepwise extension that can improve the power
 of the multiple tests is available.

Package: r-cran-gfdrmtl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gfdmcv, r-cran-gfdrmst, r-cran-lpsolve, r-cran-shinywidgets, r-cran-shinymatrix, r-cran-shiny, r-cran-tippy, r-cran-mvtnorm, r-cran-mass, r-cran-plyr, r-cran-shinyjs, r-cran-shinythemes
Suggests: r-cran-mstate
Filename: pool/dists/focal/main/r-cran-gfdrmtl_0.1.0-1.ca2004.1_all.deb
Size: 94356
MD5sum: 9ef209f7a994e751e5c7faf03a39d1c9
SHA1: 03b05b5de559dfe60d4b7ddd11a7338809a3fd5e
SHA256: b4952d604dd71336d0fbd149833fcdc1a4c6288d22831825441bb0890502eca3
SHA512: dc7b776df59ef90a45518a0fcf1cbb6c856f09775daaa0960ce9ff7de622e4cdb987f25afdf92b92bc7690d03d4482eaa23e75578790267a5adeeb71fcbd2082
Homepage: https://cran.r-project.org/package=GFDrmtl
Description: CRAN Package 'GFDrmtl' (Multiple RMTL-Based Tests for Competing Risks Data in GeneralFactorial Designs)
 We implemented multiple tests based on the restricted mean time lost (RMTL)
 for general factorial designs as described in Munko et al. (2024)
 <doi:10.48550/arXiv.2409.07917>. Therefore, an asymptotic test and a
 permutation test are incorporated with a Wald-type test statistic. The
 asymptotic test takes the asymptotic exact dependence structure of the test
 statistics into account to gain more power. Furthermore, confidence
 intervals for RMTL contrasts can be calculated and plotted and a stepwise
 extension that can improve the power of the multiple tests is available.

Package: r-cran-gfdsurv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gridextra, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes, r-cran-survival, r-cran-survminer, r-cran-tippy, r-cran-magic, r-cran-mass, r-cran-plyr
Suggests: r-cran-condsurv
Filename: pool/dists/focal/main/r-cran-gfdsurv_0.1.1-1.ca2004.1_all.deb
Size: 148360
MD5sum: 9d8a02cc915f4a29786942adb3cef775
SHA1: c58bedac740a672db425f2a4b08e04a7b289a122
SHA256: 08ad60c58f941d6e6a9e7f9941974a30b9777925736a4617496a6b6dac0f31bb
SHA512: a83a61cb87a9d65487d8aeddb01fff5015e6a262d29bdc8eb9204a4dc9eb89b222a542f1ad503584b0ac7628941ff1bc08513252a42ceafa21fac0e595dabfc4
Homepage: https://cran.r-project.org/package=GFDsurv
Description: CRAN Package 'GFDsurv' (Tests for Survival Data in General Factorial Designs)
 Implemented are three Wald-type statistic and respective permuted versions
 for null hypotheses formulated in terms of cumulative hazard rate functions,
 medians and the concordance measure, respectively, in the general framework
 of survival factorial designs with possibly heterogeneous survival and/or
 censoring distributions, for crossed designs with an arbitrary number of
 factors and nested designs with up to three factors.  Ditzhaus, Dobler and
 Pauly (2020) <doi:10.1177/0962280220980784> Ditzhaus, Janssen, Pauly (2020)
 <arXiv: 2004.10818v2> Dobler and Pauly (2019)
 <doi:10.1177/0962280219831316>.

Package: r-cran-gfe
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-teachingsampling
Filename: pool/dists/focal/main/r-cran-gfe_0.1.1-1.ca2004.1_all.deb
Size: 44192
MD5sum: 0c3294a89cb6d17e3bd9a3796cb23726
SHA1: 96cf98a44ba4c22fe13657ea616a6332d708b58e
SHA256: a43311ff6660a5b3c567eb931c12b6ba00c3c3a39d0d7616d46731190879c641
SHA512: e08cf32003e991f2222ea3ef9c2e0e2c4fa702e3ef7c674833ac3ec66d2535178abb04be8e380a62b1703b81dad9817b68e1be819d430eab3499d4934a48bced
Homepage: https://cran.r-project.org/package=GFE
Description: CRAN Package 'GFE' (Gross Flows Estimation under Complex Surveys)
 The philosophy in the package is described in Stasny (1988)
 <doi:10.2307/1391558> and Gutierrez, A., Trujillo, L. & Silva, N. (2014),
 <ISSN:1492-0921> to estimate the gross flows under complex surveys using a
 Markov chain approach with non response.

Package: r-cran-gfer
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-xml2, r-cran-jsonlite, r-cran-httr, r-cran-stringi, r-cran-v8, r-cran-data.table, r-cran-tidyr, r-cran-scatterpie, r-cran-ggplot2, r-cran-ggrepel, r-cran-circlize, r-cran-googlesheets4, r-cran-gsheet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gfer_0.1.12-1.ca2004.1_all.deb
Size: 243828
MD5sum: 35e428a6b5c9ba5373c32ef4e09df53b
SHA1: 369e7133d7bb9aea34513e00ea05e9f0a151ad3b
SHA256: 0f28f955b62a4770f304027f76cef7dff2fd3c34208eaa12913458c207d0a309
SHA512: bb60721e4344b02d24fc5bedb2cb43a95e5e88d95cb9ec7f424e5cacb96b55f0f44ace5b15968e640f220f677c4172dc8c976d44503654d25ea908f3bad5704a
Homepage: https://cran.r-project.org/package=gfer
Description: CRAN Package 'gfer' (Green Finance and Environmental Risk)
 Focuses on data collecting, analyzing and visualization in green finance and
 environmental risk research and analysis. Main function includes
 environmental data collecting from official websites such as MEP (Ministry
 of Environmental Protection of China, <https://www.mee.gov.cn>), water
 related projects identification and environmental data visualization.

Package: r-cran-gfgm.copula
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cmprsk, r-cran-compound.cox, r-cran-joint.cox
Filename: pool/dists/focal/main/r-cran-gfgm.copula_1.0.4-1.ca2004.1_all.deb
Size: 115892
MD5sum: 2c9406778efca5afd83449197c8a1bc5
SHA1: af6a11a592a002fcf1b792af0e6921fb0d859725
SHA256: 0edfd7c22b6a23eafeb657daea38ea10d7007bd33630e304b3928c8e4c674498
SHA512: 1f5ef6c668dfb8c07aa42bf712b00c69084170faebeb07ee1dded131aa13a78ea443a6264b8ba1cccce01899749f1be3c3c8342f26784e465a9076c8ed0ebbb2
Homepage: https://cran.r-project.org/package=GFGM.copula
Description: CRAN Package 'GFGM.copula' (Generalized Farlie-Gumbel-Morgenstern Copula)
 Compute bivariate dependence measures and perform bivariate competing risks
 analysis under the generalized Farlie-Gumbel-Morgenstern (FGM) copula. See
 Shih and Emura (2018) <doi:10.1007/s00180-018-0804-0> and Shih and Emura
 (2019) <doi:10.1007/s00362-016-0865-5> for details.

Package: r-cran-gfisher
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-gfisher_0.2.0-1.ca2004.1_all.deb
Size: 39040
MD5sum: 07df8df923883f0bb409672d5ee08af2
SHA1: f70d87ae43bc391b3ba16a415b326d2b160103be
SHA256: 4036b8f8480fb3bf7da4f8b37e07c3114888d87e709dd63752248a773d867b24
SHA512: 81fdcd5c1e8ba21757c63314bc36f596ea288910c5ea1be4323de1faec48b70a108fc6ab9613b0ad024bd6241d9173110084ce828e7cc3ddc0e00466af67cad2
Homepage: https://cran.r-project.org/package=GFisher
Description: CRAN Package 'GFisher' (Generalized Fisher's Combination Tests Under Dependence)
 Accurate and computationally efficient p-value calculation methods for a
 general family of Fisher type statistics (GFisher). The GFisher covers
 Fisher's combination, Good's statistic, Lancaster's statistic, weighted
 Z-score combination, etc. It allows a flexible weighting scheme, as well as
 an omnibus procedure that automatically adapts proper weights and degrees of
 freedom to a given data. The new p-value calculation methods are based on
 novel ideas of moment-ratio matching and joint-distribution approximation.
 The technical details can be found in Hong Zhang and Zheyang Wu (2020)
 <arXiv:2003.01286>.

Package: r-cran-gfiultra
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sis, r-cran-lazyeval, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-gfiultra_1.0.0-1.ca2004.1_all.deb
Size: 24020
MD5sum: b63fbf8682b67a4ce5b7095da8f7968f
SHA1: 7c647b5b05e633a73dd35eccfcef93b862c9b32b
SHA256: 20e1c49c883dc8eadd5d66d99200bda323e5b535fc70e0095c53acfaa7446cab
SHA512: 8ba397f4cd5d54d6926aa8e3bffbda24d798a3791796c5cea7189db8160a9417f63e2a1ad776f71eda6cd60cf613db3f1066d93aa145a3688f41a71ab3016b71
Homepage: https://cran.r-project.org/package=gfiUltra
Description: CRAN Package 'gfiUltra' (Generalized Fiducial Inference for Ultrahigh-DimensionalRegression)
 Variable selection for ultrahigh-dimensional ("large p small n") linear
 Gaussian models using a fiducial framework allowing to draw inference on the
 parameters. Reference: Lai, Hannig & Lee (2015)
 <doi:10.1080/01621459.2014.931237>.

Package: r-cran-gfonts
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4325
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-crul, r-cran-jsonlite, r-cran-glue, r-cran-crayon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gfonts_0.2.0-1.ca2004.1_all.deb
Size: 2489516
MD5sum: 0f8e0a3d2df41d9e52187e7df044e900
SHA1: 0f0eba630809f7b0fb3fc2f469bd677af44b0d36
SHA256: 0889b8cb28a023c99f9a825994b719ab602163cea0dd2f69c93414b1cdc48238
SHA512: 53fd863aa2a85063cc5b4449c1ee3b4e2382503111706e7ee9d77083e4ff07feb5286a87473ba49b5d3c1c433d0a9ab3e46b7baa25384707c591fe36bc3d783d
Homepage: https://cran.r-project.org/package=gfonts
Description: CRAN Package 'gfonts' (Offline 'Google' Fonts for 'Markdown' and 'Shiny')
 Download 'Google' fonts and generate 'CSS' to use in 'rmarkdown' documents
 and 'shiny' applications. Some popular fonts are included and ready to use.

Package: r-cran-gformula
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2357
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggpubr, r-cran-nnet, r-cran-progress, r-cran-stringr, r-cran-survival, r-cran-truncnorm, r-cran-truncreg
Suggests: r-cran-hmisc, r-cran-knitr, r-cran-randomforest, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gformula_1.1.1-1.ca2004.1_all.deb
Size: 2289196
MD5sum: 9ce251873257e27aa4130f3315a2e956
SHA1: fd68cc628774cba0540f42fedb882460339e68f8
SHA256: f6cf5280796090505c33999bc46ae7c62748781a66e88372da7df038da29044f
SHA512: 378670846a11566039152e9218f85b1648b83159775b2021f0aa268c62eaa18294e65c530c5a48f44e4027c151030e10226ccb6747e58c1434f65b9d2e6252b0
Homepage: https://cran.r-project.org/package=gfoRmula
Description: CRAN Package 'gfoRmula' (Parametric G-Formula)
 Implements the non-iterative conditional expectation (NICE) algorithm of the
 g-formula algorithm (Robins (1986) <doi:10.1016/0270-0255(86)90088-6>,
 Hernán and Robins (2024, ISBN:9781420076165)).  The g-formula can estimate
 an outcome's counterfactual mean or risk under hypothetical treatment
 strategies (interventions) when there is sufficient information on
 time-varying treatments and confounders.  This package can be used for
 discrete or continuous time-varying treatments and for failure time outcomes
 or continuous/binary end of follow-up outcomes. The package can handle a
 random measurement/visit process and a priori knowledge of the data
 structure, as well as censoring (e.g., by loss to follow-up) and two options
 for handling competing events for failure time outcomes. Interventions can
 be flexibly specified, both as interventions on a single treatment or as
 joint interventions on multiple treatments.  See McGrath et al. (2020)
 <doi:10.1016/j.patter.2020.100008> for a guide on how to use the package.

Package: r-cran-gformulaice
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-nnet, r-cran-doparallel, r-cran-foreach, r-cran-stringr, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-reshape2, r-cran-speedglm, r-cran-hmisc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gformulaice_0.1.0-1.ca2004.1_all.deb
Size: 492168
MD5sum: 4f99fe9e2d44ff5b0d109dac65d40335
SHA1: 4206ff9fd3660d7b72f68f20d3de597e770e9826
SHA256: 26ff8aa6f713e7530bf0c5ddfbe32eea09f774447b098ab8869bf35c76bb2bc3
SHA512: 5615a33e849409bf7ec8897ba5972afc0337828ac48ac5b03824fcd6d70d8ec748f9d7591fb408ccf1bde53cd4c1085edcde6d6dbb5da9144110d6b6fa326df0
Homepage: https://cran.r-project.org/package=gfoRmulaICE
Description: CRAN Package 'gfoRmulaICE' (Parametric Iterative Conditional Expectation G-Formula)
 Implements iterative conditional expectation (ICE) estimators of the plug-in
 g-formula (Wen, Young, Robins, and Hernán (2020) <doi: 10.1111/biom.13321>).
 Both singly robust and doubly robust ICE estimators based on parametric
 models are available.  The package can be used to estimate survival curves
 under sustained treatment strategies (interventions) using longitudinal data
 with time-varying treatments, time-varying confounders, censoring, and
 competing events.  The interventions can be static or dynamic, and
 deterministic or stochastic (including threshold interventions). Both
 prespecified and user-defined interventions are available.

Package: r-cran-gformulami
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mice
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gformulami_1.0.1-1.ca2004.1_all.deb
Size: 341224
MD5sum: 95289a9f8605a4a59b8974a58c393707
SHA1: fbf662e25cddc98999f57aa3206f55ed6efb537d
SHA256: bebcfef30000fe6ea6cba35c900854f83f022538b6c81b109cb8b83ce2f4457c
SHA512: c7ef18810966250280beaca02ce21c5800488c8baf7d5361c97a72afdd6cfed1311ae7fec88a8a298635d556ac6aa7919a3801987466a81d11adc11ba13c2854
Homepage: https://cran.r-project.org/package=gFormulaMI
Description: CRAN Package 'gFormulaMI' (G-Formula for Causal Inference via Multiple Imputation)
 Implements the G-Formula method for causal inference with time-varying
 treatments and confounders using Bayesian multiple imputation methods, as
 described by Bartlett et al (2025) <doi:10.1177/09622802251316971>. It
 creates multiple synthetic imputed datasets under treatment regimes of
 interest using the 'mice' package. These can then be analysed using rules
 developed for analysing multiple synthetic datasets.

Package: r-cran-gfunctions
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-gfunctions_1.0-1.ca2004.1_all.deb
Size: 34968
MD5sum: e8156423f35bacbbf49c3b8e8507653c
SHA1: 38bfa420b63b3b59a283ee967468b99756502e29
SHA256: 4a3de7ea9504cba5d65fa8a11174e0084afc38fdac9af7b1d2e8d6d799cc8bcb
SHA512: 05b980f192055eda80d675c29e38592b73e18545902516aead39c87037176edeae22f540917e7ef9eef535019779f0df079149bb298b37f69805214532446f6e
Homepage: https://cran.r-project.org/package=gfunctions
Description: CRAN Package 'gfunctions' (G-Functions)
 Modified versions of the lag() and summary() functions: glag() and
 gsummary(). The prefix 'g' is a reminder of who to blame if things do not
 work as they should.

Package: r-cran-gg.gap
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-gg.gap_1.3-1.ca2004.1_all.deb
Size: 21640
MD5sum: 969d5fa6db9bad7aea728a89b3fda31a
SHA1: f1d097df7ef7f6d66e6d56eaecdf3f8cc60ea784
SHA256: 64f39d59a3919049952789659e7d5fe6f06c809087cda6b018e76d82dfd21e0b
SHA512: 852ab277465cf6d044b390d1031dcd72757b10c0f2c9a0a95b5512172406580c5c37b7ab2ce11ce9ea8673a46085cfd911ced20604784b377a14ec6471b5bbaa
Homepage: https://cran.r-project.org/package=gg.gap
Description: CRAN Package 'gg.gap' (Define Segments in y-Axis for 'ggplot2')
 It is not very easy to define segments for y-axis in a 'ggplot2' plot.
 gg.gap() function in this package can carry it out.

Package: r-cran-gg1d
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertions, r-cran-cli, r-cran-ggiraph, r-cran-ggplot2, r-cran-ggtext, r-cran-patchwork, r-cran-rank, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gg1d_0.1.0-1.ca2004.1_all.deb
Size: 210024
MD5sum: d00ff9d0926fa19f007238b94d105b22
SHA1: 1aa6268c7348e297f5a45c575873cff9ffc43ce7
SHA256: 77ab7e75a503744bcbac1a5207c3854bf37c38290b320f5bc37a4129f4fe47ff
SHA512: 1995ba371d6196f62f6b218a7e3ca9ea6f0f7fb357534a8428bce551a5cf5be3b68fe1165c5626c05eb27d939486688792e565699bad33ca87e440d89fcef3bc
Homepage: https://cran.r-project.org/package=gg1d
Description: CRAN Package 'gg1d' (Exploratory Data Analysis using Tiled One-Dimensional Graphics)
 Streamlines exploratory data analysis by providing a turnkey approach to
 visualising n-dimensional data which graphically reveals correlative or
 associative relationships between 2 or more features. Represents all dataset
 features as distinct, vertically aligned bar or tile plots, with plot types
 auto-selected based on whether variables are categorical or numeric.

Package: r-cran-ggalign
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3117
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-vctrs, r-cran-rlang, r-cran-cli, r-cran-gtable, r-cran-scales, r-cran-lifecycle
Suggests: r-cran-gridgraphics, r-cran-ragg, r-cran-magick, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggalign_1.0.2-1.ca2004.1_all.deb
Size: 2920296
MD5sum: dc75154d65fe96896c40bc40326fb5e2
SHA1: c727ca5994bb208bdb43fc3b86952796a4088109
SHA256: 5f98eef68314be11b92de232e9768ced4246bf3f0ac9786a7ca550aa143d66a3
SHA512: 7efeb559c52419faf957375f5939477c40d3d89c3800efd6e5a304a35dd9875b950e6fbeed0fb1e916f9294253526ba42999f87ddc187413e51d8d794516ede4
Homepage: https://cran.r-project.org/package=ggalign
Description: CRAN Package 'ggalign' (A 'ggplot2' Extension for Consistent Axis Alignment)
 A 'ggplot2' extension offers various tools the creation of complex,
 multi-plot visualizations. Built on the familiar grammar of graphics, it
 provides intuitive tools to align and organize plots, making it ideal for
 complex visualizations. It excels in multi-omics research—such as genomics
 and microbiomes—by simplifying the visualization of intricate relationships
 between datasets, for example, linking genes to pathways. Whether you need
 to stack plots, arrange them around a central figure, or create a circular
 layout, 'ggalign' delivers flexibility and accuracy with minimal effort.

Package: r-cran-ggaligner
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-bioc-ggmsa, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-ggaligner_0.1-1.ca2004.1_all.deb
Size: 16628
MD5sum: ee9dd6478c84c930c2779af6ea7c7364
SHA1: d3afb2d683b926e119d7a30659d86f08392f7aaf
SHA256: 3a876999d3bf3cf565a93b17e5b71f58cd31cfc55e3d7c6b2bedfd6e71f89612
SHA512: 6c0d4bd25f5bd365bf1cd54639d149ffe41bef3cdc068a4089b5324a41896328d6fbd2b068b85d00b6e9b39bdd17b73f70ad37f5d0585b64542f56022dc74eaf
Homepage: https://cran.r-project.org/package=ggaligner
Description: CRAN Package 'ggaligner' (Visualizing Sequence Alignment by Generating Publication-ReadyPlots)
 Providing publication-ready graphs for Multiple sequence alignment.
 Moreover, it provides a unique solution for visualizing the multiple
 sequence alignment without the need to do the alignment in each run which is
 a big limitation in other available packages.

Package: r-cran-ggalignment
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2661
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggimage, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-vdiffr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ggalignment_1.0.2-1.ca2004.1_all.deb
Size: 2333324
MD5sum: cea187a76c16266695f0b7c6d34c092a
SHA1: cebddf0fc9f62c6d1d96f7b6ea1f9f186a7ed0f4
SHA256: 85cc3b917d2f2b961e52a59ad4537b972d976aaf0f94123570e08d1412915e07
SHA512: 8abe7a6aa93926bc64439b205ba0300725d6c0694247df8500f572bab71b815215e179fe585eed62f3c65f95290bbf64bea2fb3a5d9f077f22a95dd6cedf5460
Homepage: https://cran.r-project.org/package=ggalignment
Description: CRAN Package 'ggalignment' (Plots 'D&D'-Style Alignment Charts)
 'D&D' alignment charts show 9 boxes with values for good through evil and
 values for chaotic through lawful. This package easily creates these
 alignment charts from user-provided image paths and alignment values.

Package: r-cran-ggallin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggallin_0.1.1-1.ca2004.1_all.deb
Size: 681384
MD5sum: 8ffcfb4de17452da8d2aa130ae070847
SHA1: 8ccc574af185192f36a9650ea62d45aefd95702b
SHA256: 79a2a8413b760b3e78f2c3290f4b1d8c1b78fe9a2791fdd27da9ff9112336abe
SHA512: 4b805d1614ecff4e3bd39aa4d906cf69f6ee2c1a266705655c0bf59255f3b87bc30f41ff34cf3d04e8a05d858a75813cd2b9877aa7400ca6f02b79911f3a2636
Homepage: https://cran.r-project.org/package=ggallin
Description: CRAN Package 'ggallin' (Grab Bag of 'ggplot2' Functions)
 Extra geoms and scales for 'ggplot2', including geom_cloud(), a Normal
 density cloud replacement for errorbars; transforms ssqrt_trans and
 pseudolog10_trans, which are loglike but appropriate for negative data;
 interp_trans() and warp_trans() which provide scale transforms based on
 interpolation; and an infix compose operator for scale transforms.

Package: r-cran-ggalluvial
Architecture: all
Version: 0.12.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2293
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-lazyeval, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-alluvial, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-babynames, r-cran-sessioninfo, r-cran-ggrepel, r-cran-shiny, r-cran-htmltools, r-cran-sp, r-cran-ggfittext, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggalluvial_0.12.5-1.ca2004.1_all.deb
Size: 1497440
MD5sum: ce47dfa1a5e7b5f2924cd9dddcfe4a64
SHA1: 0b3e0de81a8e481af3e7c833aae3dafac813bb6f
SHA256: 402e77acf1b2a260b8d8199a7d91a6c5ddc1b5b0e0fdac61380e83fe58e0a80f
SHA512: 8b8eb8be0603edad01a3b5e18fd41f301b2f331777b361b8be33afa983de4ffb5fd47d95bf099435551a2f983275cf2170fb72983619d2103bca40a900603d7b
Homepage: https://cran.r-project.org/package=ggalluvial
Description: CRAN Package 'ggalluvial' (Alluvial Plots in 'ggplot2')
 Alluvial plots use variable-width ribbons and stacked bar plots to represent
 multi-dimensional or repeated-measures data with categorical or ordinal
 variables; see Riehmann, Hanfler, and Froehlich (2005)
 <doi:10.1109/INFVIS.2005.1532152> and Rosvall and Bergstrom (2010)
 <doi:10.1371/journal.pone.0008694>.  Alluvial plots are statistical graphics
 in the sense of Wilkinson (2006) <doi:10.1007/0-387-28695-0>; they share
 elements with Sankey diagrams and parallel sets plots but are uniquely
 determined from the data and a small set of parameters. This package extends
 Wickham's (2010) <doi:10.1198/jcgs.2009.07098> layered grammar of graphics
 to generate alluvial plots from tidy data.

Package: r-cran-ggally
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2066
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-ggstats, r-cran-gtable, r-cran-lifecycle, r-cran-plyr, r-cran-progress, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scales, r-cran-magrittr
Suggests: r-cran-broom, r-cran-broom.helpers, r-cran-chemometrics, r-cran-geosphere, r-cran-ggforce, r-cran-hmisc, r-cran-igraph, r-cran-intergraph, r-cran-labelled, r-cran-maps, r-cran-mapproj, r-cran-nnet, r-cran-network, r-cran-scagnostics, r-cran-sna, r-cran-survival, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-crosstalk, r-cran-knitr, r-cran-spelling, r-cran-emmeans, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggally_2.2.1-1.ca2004.1_all.deb
Size: 1977436
MD5sum: a24f512808749a2b48c7420720fad204
SHA1: 970252889be659fc9c83b4c6dae5a81d675d5226
SHA256: e3781951e5ed381ec717a352eb93139cdc951ad38273cfb77d0e673f8ca6b0a5
SHA512: ff5e7d4a698de1840d562b3a745ac01948ab947d75ea48579862bf8fdf5341a09e8834a7d0b497027457b65dc7f62d69fba9c6d12ec3381f61c3eff9c9f17b13
Homepage: https://cran.r-project.org/package=GGally
Description: CRAN Package 'GGally' (Extension to 'ggplot2')
 The R package 'ggplot2' is a plotting system based on the grammar of
 graphics.  'GGally' extends 'ggplot2' by adding several functions to reduce
 the complexity of combining geometric objects with transformed data.  Some
 of these functions include a pairwise plot matrix, a two group pairwise plot
 matrix, a parallel coordinates plot, a survival plot, and several functions
 to plot networks.

Package: r-cran-ggalt
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3002
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-kernsmooth, r-cran-proj4, r-cran-scales, r-cran-gtable, r-cran-ash, r-cran-maps, r-cran-mass, r-cran-extrafont, r-cran-tibble, r-cran-plotly
Suggests: r-cran-testthat, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-ggthemes, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-ggalt_0.4.0-1.ca2004.1_all.deb
Size: 2232056
MD5sum: 850a2218f82dab295ec9022556af5b29
SHA1: 0876a9e2d8eaf0e2612ddd7310b751c232827b05
SHA256: b7a12b6135979772b412fa2630e72919397da9b131e1a0c83d2a7daf41d5d6c5
SHA512: d865d54e2d7a9db2aec2f439470572b5836d2b7f8feeb5c07accff782f81bfeaecde97ecc012e66a4b0fb48698a5afd450f0ff6a3c4ce0ae5b82402d6c4c1b14
Homepage: https://cran.r-project.org/package=ggalt
Description: CRAN Package 'ggalt' (Extra Coordinate Systems, 'Geoms', Statistical Transformations,Scales and Fonts for 'ggplot2')
 A compendium of new geometries, coordinate systems, statistical
 transformations, scales and fonts for 'ggplot2', including splines, 1d and
 2d densities, univariate average shifted histograms, a new map coordinate
 system based on the 'PROJ.4'-library along with geom_cartogram() that mimics
 the original functionality of geom_map(), formatters for "bytes", a
 stat_stepribbon() function, increased 'plotly' compatibility and the
 'StateFace' open source font 'ProPublica'. Further new functionality
 includes lollipop charts, dumbbell charts, the ability to encircle points
 and coordinate-system-based text annotations.

Package: r-cran-ggamma
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-flexsurv
Filename: pool/dists/focal/main/r-cran-ggamma_1.0.1-1.ca2004.1_all.deb
Size: 15568
MD5sum: 0addf3e3c4f8e5338433b058a6bf6338
SHA1: 85d281ae2f0a5def2d7119a64225b49dddc257fb
SHA256: 9bbe4f84eea08156f9e362c2039ea7970db3a5b44ba85da82e2036bca38f7bbd
SHA512: f932fe74ee789034cb7119b65090b6b3dbed44e682bc2eaca0a4ced660a6fc888fc292d14c1a5ff8debf766df9444e89f7d28a99b8ffb70843ea839c96a498ae
Homepage: https://cran.r-project.org/package=ggamma
Description: CRAN Package 'ggamma' (Generalized Gamma Probability Distribution)
 Density, distribution function, quantile function and random generation for
 the Generalized Gamma proposed in Stacy, E. W. (1962)
 <doi:10.1214/aoms/1177704481>.

Package: r-cran-gganimate
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2669
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-progress, r-cran-rlang, r-cran-scales, r-cran-stringi, r-cran-transformr, r-cran-tweenr, r-cran-vctrs
Suggests: r-cran-av, r-cran-base64enc, r-cran-covr, r-cran-gifski, r-cran-htmltools, r-cran-knitr, r-cran-magick, r-cran-ragg, r-cran-rmarkdown, r-cran-sf, r-cran-svglite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gganimate_1.0.10-1.ca2004.1_all.deb
Size: 1837652
MD5sum: 38722a75287eaa51d8630d55dc83af8a
SHA1: 9a2fdb3221383264ae431a619400048fe52fabdf
SHA256: 0cb1fece5048fe9be3db5192b5a1f02943851ee85a8a012991e62853b87d64d8
SHA512: c13d61c685dfcffc5a76148f3dc32d1db2382115aa5e1af4f02696daf02f44d386d23c6ec8c0fa6bdc7e9ceedf0b4dcf59f5a0bc0a27fc23ac503035af9a1aff
Homepage: https://cran.r-project.org/package=gganimate
Description: CRAN Package 'gganimate' (A Grammar of Animated Graphics)
 The grammar of graphics as implemented in the 'ggplot2' package has been
 successful in providing a powerful API for creating static visualisation. In
 order to extend the API for animated graphics this package provides a
 completely new set of grammar, fully compatible with 'ggplot2' for
 specifying transitions and animations in a flexible and extensible way.

Package: r-cran-ggarchery
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-glue, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-ggarchery_0.4.3-1.ca2004.1_all.deb
Size: 735256
MD5sum: 7d79fc196d05022e137062a7a215e8e6
SHA1: 6f3bd60574c9086bd3fdf875d8c3370bf6442b0a
SHA256: 2e0d66cea90471392b7494d3d9d9a88eed99c28f5a8a1b1a7398f1d1edd2c546
SHA512: 664549e3e81b308d951c6ec867272f06092cd4a55d830f3b8dc5e6623a2aedc9fa7a2adeb5179bd34252d90ea6033871b43653472f7d630b914688f7b2e6a590
Homepage: https://cran.r-project.org/package=ggarchery
Description: CRAN Package 'ggarchery' (Flexible Segment Geoms with Arrows for 'ggplot2')
 Geoms for placing arrowheads at multiple points along a segment, not just at
 the end; position function to shift starts and ends of arrows to avoid
 exactly intersecting points.

Package: r-cran-ggarrow
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cli, r-cran-polyclip, r-cran-rlang, r-cran-scales, r-cran-vctrs
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggarrow_0.1.0-1.ca2004.1_all.deb
Size: 941252
MD5sum: 17f76ed1497ac366a1b8f7ab5959cae1
SHA1: dfa05826e95645636beb03d3c3f43f2dabd6239e
SHA256: 498b679da2df23c64b9bf96b116ec65d04ece3f201b155203e355de5bb0dc08d
SHA512: c5e01ab79da65526560769f1effcce8141ca02b32b40268a074eb99fe030e37fd44910166d4985bb27590f1b3542943915c99eca7eeca2f44c63bf246c4f63ad
Homepage: https://cran.r-project.org/package=ggarrow
Description: CRAN Package 'ggarrow' (Arrows for 'ggplot2')
 A 'ggplot2' extension that adds specialised arrow geometry layers.  It
 offers more arrow options than the standard 'grid' arrows that are built-in
 many line-based geom layers.

Package: r-cran-ggasym
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 786
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-covr, r-cran-broom, r-cran-corrr
Filename: pool/dists/focal/main/r-cran-ggasym_0.1.6-1.ca2004.1_all.deb
Size: 583716
MD5sum: a6861ccadba0354b03fa8b207ef03f80
SHA1: beee105a2952aadeee4231ad584ced0a10030d16
SHA256: cceaaca57abed04295abde4529fa952cdfab846422fd78943097fd7f4b3b4355
SHA512: 4cd4852a9315c9cd34cd45fd63fcbdb1e8ce5a0149c018d96836b322b7d22de7874bf0e02ef50c05a211e6219469041a9402a300b066100076b05bec325c744f
Homepage: https://cran.r-project.org/package=ggasym
Description: CRAN Package 'ggasym' (Asymmetric Matrix Plotting in 'ggplot2')
 Plots a symmetric matrix with three different fill aesthetics for the
 top-left and bottom-right triangles and along the diagonal. It operates
 within the Grammar of Graphics paradigm implemented in 'ggplot2'.

Package: r-cran-ggautomap
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 858
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cartographer, r-cran-cli, r-cran-dplyr, r-cran-ggmapinset, r-cran-ggplot2, r-cran-packcircles, r-cran-rlang, r-cran-sf, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-ggrepel, r-cran-knitr, r-cran-nswgeo, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggautomap_0.3.2-1.ca2004.1_all.deb
Size: 645752
MD5sum: 9c5703d709281abe6fd7e6ef5c0c2a71
SHA1: 799f5cf9c4eb108928de93ede894fcd5fe6e0741
SHA256: 97caa7398e168a47131fd1c52d117763fb20251527df234c175d422fd2085659
SHA512: 7b85ed4fcbed3e2e553f61d3c31dede336bf84225988faf46bda828bde96636715a123cb3544b832a2f005e5b66fc239f47d20e4fe41a5d3932c91f881b6c182
Homepage: https://cran.r-project.org/package=ggautomap
Description: CRAN Package 'ggautomap' (Create Maps from a Column of Place Names)
 Mapping tools that convert place names to coordinates on the fly.  These
 'ggplot2' extensions make maps from a data frame where one of the columns
 contains place names, without having to directly work with the underlying
 geospatial data and tools. The corresponding map data must be registered
 with 'cartographer' either by the user or by another package.

Package: r-cran-ggbeeswarm
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1858
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-beeswarm, r-cran-lifecycle, r-cran-vipor, r-cran-cli
Suggests: r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-ggbeeswarm_0.7.2-1.ca2004.1_all.deb
Size: 1737284
MD5sum: 1dda5545af3d5aa76ed2bde4ee0afaa8
SHA1: 8c26a59f92b70f3d11557469616c05aa2aaa0f10
SHA256: 84af77ad3efb5e018bd59295adf94a9d8b090866fef2bd8ec6776ea43ce9e88a
SHA512: a1a38ffa36ab738087367dd7d2c5a5b9afb79aa2e6e0e3c4249239be2e76e3f1058f4ad998bde8d7bbeb920bee84d3ef5b8c66943d6d9e5a728d692b8f9cc615
Homepage: https://cran.r-project.org/package=ggbeeswarm
Description: CRAN Package 'ggbeeswarm' (Categorical Scatter (Violin Point) Plots)
 Provides two methods of plotting categorical scatter plots such that the
 arrangement of points within a category reflects the density of data at that
 region, and avoids over-plotting.

Package: r-cran-ggbiplot
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-corrplot, r-cran-dplyr, r-cran-mass, r-cran-broom, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ggbiplot_0.6.2-1.ca2004.1_all.deb
Size: 275584
MD5sum: 2de0bde109af271f8dc7f81b2ea2da93
SHA1: 3a9c8a359c94c3fa4e4266d4b660e1774cabf721
SHA256: bdc55509ca5b3a24608698a5ec92346c5b9bafb36d8460a0c422419eeb30a329
SHA512: 2c39ea0c12b475a2e88e9009ddad2d37d859c72d5d5dd40d6f1cba41b1157a491d6127735dfa61936e317fae45615e0ec30ce9b26f79913c2f7bf5c11388f386
Homepage: https://cran.r-project.org/package=ggbiplot
Description: CRAN Package 'ggbiplot' (A Grammar of Graphics Implementation of Biplots)
 A 'ggplot2' based implementation of biplots, giving a representation of a
 dataset in a two dimensional space accounting for the greatest variance,
 together with variable vectors showing how the data variables relate to this
 space. It provides a replacement for stats::biplot(), but with many
 enhancements to control the analysis and graphical display. It implements
 biplot and scree plot methods which can be used with the results of
 prcomp(), princomp(), FactoMineR::PCA(), ade4::dudi.pca() or MASS::lda() and
 can be customized using 'ggplot2' techniques.

Package: r-cran-ggblanket
Architecture: all
Version: 12.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1330
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-farver, r-cran-forcats, r-cran-ggblend, r-cran-ggplot2, r-cran-hms, r-cran-labelled, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-snakecase, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-viridislite
Suggests: r-cran-spelling, r-cran-hexbin, r-cran-isoband, r-cran-knitr, r-cran-palmerpenguins, r-cran-patchwork, r-cran-quantreg, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tibble, r-cran-vdiffr, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-ggblanket_12.4.0-1.ca2004.1_all.deb
Size: 866576
MD5sum: c24fd248c209be01d207a575f0930f28
SHA1: a31c6bb17d32a55283b10027091ef9b1d5b366a6
SHA256: 61b5df0160c7810ea8b567a55adbed0ec1e026ce4db42c71f4e68875f1ed108f
SHA512: dc9b45816da9b6ef348a518edc7ce4c65427ea0012573e3abb491dd240d07bdf879f545e597730477e6e66b2dca7dea35d5bd1bb63e668aee2829f64bdf501b3
Homepage: https://cran.r-project.org/package=ggblanket
Description: CRAN Package 'ggblanket' (Simplify 'ggplot2' Visualisation)
 Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions.

Package: r-cran-ggblend
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3937
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat, r-cran-fontquiver, r-cran-showtext, r-cran-sysfonts, r-cran-ggnewscale
Filename: pool/dists/focal/main/r-cran-ggblend_0.1.0-1.ca2004.1_all.deb
Size: 3906916
MD5sum: c010ae1b5166baf9738e2a4470f33121
SHA1: 4e794933b01628dae5c0b39e0591663d5c0d6aaa
SHA256: 305a94e43de202e3ba1ae5fea4b9e28c12643672318ba51300fb2f7e37dc735b
SHA512: 2f8c7bbda28606db05267798583448101720a64881c1e1e5520a77ec6d2fe740d83948eefea321ce287384ab1c12185fca1ec1d43ffa44b534cf8435c2f2760a
Homepage: https://cran.r-project.org/package=ggblend
Description: CRAN Package 'ggblend' (Blending and Compositing Algebra for 'ggplot2')
 Algebra of operations for blending, copying, adjusting, and compositing
 layers in 'ggplot2'. Supports copying and adjusting the aesthetics or
 parameters of an existing layer, partitioning a layer into multiple pieces
 for re-composition, applying affine transformations to layers, and combining
 layers (or partitions of layers) using blend modes (including commutative
 blend modes, like multiply and darken). Blend mode support is particularly
 useful for creating plots with overlapping groups where the layer drawing
 order does not change the output; see Kindlmann and Scheidegger (2014)
 <doi:10.1109/TVCG.2014.2346325>.

Package: r-cran-ggborderline
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggborderline_0.2.0-1.ca2004.1_all.deb
Size: 635376
MD5sum: 98e01113e57faf8a68802394d5702aee
SHA1: f30a8cecee2c37b04366989d991d55d891330309
SHA256: 08b4dcefd7e72d0a26bb7f1cb397f201e3a9f47d0075426f618e451e6bb15aac
SHA512: 10f0d24749b7f324bf4f8deb3d4052da7f9776dea9d53c10b5a357d0b37534fb8b9109afa72ca23580998ec0185675c806ee9d51620375cef7b2078baf42e9aa
Homepage: https://cran.r-project.org/package=ggborderline
Description: CRAN Package 'ggborderline' (Line Plots that Pop)
 A set of geometries to make line plots a little bit nicer. Use along with
 'ggplot2' to: - Improve the clarity of line plots with many overlapping
 lines - Draw more realistic worms.

Package: r-cran-ggbrace
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggbrace_0.1.1-1.ca2004.1_all.deb
Size: 46708
MD5sum: f30157a965858255b29cf7b2a998107e
SHA1: fe691022c61cdffd7b682973dd3881ad4c91b367
SHA256: 26490b116916a3b51ccc93e2b609b4fe751833033a3f4777287fe1266f5f64a7
SHA512: cf94370d85b05aee2155f1ec3318e1ee5c863236df5f4895c42145135cb9e6dd0d71308af8688dcb74661e5274eace2df99a494c7bc32441638adbac01bf2760
Homepage: https://cran.r-project.org/package=ggbrace
Description: CRAN Package 'ggbrace' (Curly Braces for 'ggplot2')
 Provides curly braces in 'ggplot2' plus matching text.  stat_brace() plots
 braces partially in the confines of data so that the brace is set apart from
 it.  stat_bracetext() plots corresponding text, fitting to the braces from
 stat_brace().

Package: r-cran-ggbraid
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4911
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-scales, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-ggtext, r-cran-glue, r-cran-hms
Filename: pool/dists/focal/main/r-cran-ggbraid_0.2.2-1.ca2004.1_all.deb
Size: 3513772
MD5sum: 9aa49d7548b99cc9724897ce01cacd5c
SHA1: 369f1024ddc115960d45f0d17c05d731b66b722a
SHA256: 1ee346bd9e56fb95052916f39817abc9bc2847d929c89d1fdda82168abc4ddf9
SHA512: 322142ad3c3a7d8c094b7074f541f5471731932935f953e563bb23749f1a8cbb07a85ded67cea7e926476662585110f8ea46fcca3b5a0881b7a4da215393e87a
Homepage: https://cran.r-project.org/package=ggbraid
Description: CRAN Package 'ggbraid' (Braid Ribbons in 'ggplot2')
 A new stat, stat_braid(), that extends the functionality of geom_ribbon() to
 correctly fill the area between two alternating lines (or steps) with two
 different colors, and a geom, geom_braid(), that wraps geom_ribbon() and
 uses stat_braid() by default.

Package: r-cran-ggbreak
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggfun, r-cran-ggplot2, r-cran-ggplotify, r-cran-aplot, r-cran-rlang, r-cran-yulab.utils
Suggests: r-cran-cowplot, r-cran-ggimage, r-cran-knitr, r-cran-patchwork, r-cran-pillar, r-cran-prettydoc, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggbreak_0.1.4-1.ca2004.1_all.deb
Size: 222912
MD5sum: d8d67054da2ee90f8ea29476ec8039f2
SHA1: 460fafee69b42a1f4163890dbc44ff3683682641
SHA256: 4f681be01c44c956c27fd640544af62a51934933244a79643f42c944add5c0c0
SHA512: 16d5924793f2908fe53346b048a587eba473322dde8f2a7541c8d3dc2605caee3f377e301b70a23a1a75d9b1381bde2cca761a2cf9b8b844430171aad1ca899e
Homepage: https://cran.r-project.org/package=ggbreak
Description: CRAN Package 'ggbreak' (Set Axis Break for 'ggplot2')
 An implementation of scale functions for setting axis breaks of a 'gg' plot
 (S Xu (2021) <doi:10.3389/fgene.2021.774846>).

Package: r-cran-ggbrick
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-glue
Filename: pool/dists/focal/main/r-cran-ggbrick_0.3.0-1.ca2004.1_all.deb
Size: 103336
MD5sum: bd9b095734b9f2e5fb7cbfba88b53adc
SHA1: 4d5dbd4f9e09a9e5a10e30c48d35509ebacc9d08
SHA256: c2f86d91a7cccc2acbfb6dca6df5c518df9cf9ee7b0bd3cbb433acc522ae4620
SHA512: 6f12e84112c29ef46f742881f42f606cc6dc3b0d37f5653f2096453eda142099d161f53fcdabd0a3a5b7b56ad3d0eabb7a6112df202242f3a269c739f38bc497
Homepage: https://cran.r-project.org/package=ggbrick
Description: CRAN Package 'ggbrick' (Waffle Style Chart with a Brick Layout in 'ggplot2')
 A new take on the bar chart. Similar to a waffle style chart but instead of
 squares the layout resembles a brick wall.

Package: r-cran-ggbubbles
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1478
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ggbubbles_0.1.4-1.ca2004.1_all.deb
Size: 639184
MD5sum: b4573660c33d9c40525315baf265d23d
SHA1: 7b4fa0b6c3225eb4f96859acd2ed147bf0ed0f7f
SHA256: 0fef1ed692843237cd878fd8a8721fa92c848297e58bf432dc10e0190a54e1bb
SHA512: 85c1d1099c09d28594c0d00a70e22eda06c79a0435e040112370bc91057974f2cc2c986d30c9073c6d6f911e701e7d63fab8218f18672c4e87c339ae414569b7
Homepage: https://cran.r-project.org/package=ggBubbles
Description: CRAN Package 'ggBubbles' (Mini Bubble Plots for Comparison of Discrete Data with 'ggplot2')
 When comparing discrete data mini bubble plots allow displaying more
 information than traditional bubble plots via colour, shape or labels.
 Exact overlapping coordinates will be transformed so they surround the
 original point circularly without overlapping. This is implemented as a
 position_surround() function for 'ggplot2'.

Package: r-cran-ggbuildr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggbuildr_0.1.0-1.ca2004.1_all.deb
Size: 30164
MD5sum: 4ca35a10155b26c42daa94b53b0ad3ec
SHA1: 221e29e83caa7bd4aa3fd326c56a7ab3577e8452
SHA256: 807c26bf5fa5e7c57a746e1cd5605f912411339ee955eb6a7f926852d73ec666
SHA512: 3e09a0014a50a2418babfe5e9d2978aaa1c37a062ef43a239219666865bba99707d697fe06849faa456044ca4eed6ba028ad1953e2d498f76ee1f0bfbfa4e57d
Homepage: https://cran.r-project.org/package=ggbuildr
Description: CRAN Package 'ggbuildr' (Save Incremental Builds of Plots)
 Saves a 'ggplot' object into multiple files, each with a layer added
 incrementally. Generally to be used in presentation slides.  Flexible enough
 to allow different file types for the final complete plot, and intermediate
 builds.

Package: r-cran-ggbump
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggbump_0.1.0-1.ca2004.1_all.deb
Size: 1644716
MD5sum: c039dc90f74450e8da6b875c57057f1d
SHA1: 27339489ca7d76989f99b614e91f5a20316a8eea
SHA256: ed9167f44cb6e81b546884b9e01589a103357e32c954fc791a829ea2ce44d867
SHA512: 37d85f94e0e28038e3dc76cccdf4688339e8df6ef7c68b0c259ce41e87f64435d88ffbb7f7d97cdcba33fc1435ba13e9c96d98a68b2918350e29fb0761785503
Homepage: https://cran.r-project.org/package=ggbump
Description: CRAN Package 'ggbump' (Bump Chart and Sigmoid Curves)
 A geom for ggplot to create bump plots. Can be good to use for showing rank
 over time.

Package: r-cran-ggchangepoint
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-changepoint.np, r-cran-dplyr, r-cran-ecp, r-cran-ggplot2, r-cran-rdpack, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-gstat
Filename: pool/dists/focal/main/r-cran-ggchangepoint_0.1.0-1.ca2004.1_all.deb
Size: 178184
MD5sum: 527b24daa7de957adbb58e4e4b924bcc
SHA1: 8cbe5d7fc6dee65f3d15546d2ebe9fab656f8fa8
SHA256: 4fd14e095703bc75899dc58e077931ce162e4b9e70b8a2cd1dd7d0a48a86633d
SHA512: 345196012a6d1f562d4b7ef6767ce87b2e21f4da8fa44ad02a76839fe621371c0ef7f23c4a0a9fd3428fd65fa93fad6f8c522f8c4fd50287cd545fb0271ce19a
Homepage: https://cran.r-project.org/package=ggchangepoint
Description: CRAN Package 'ggchangepoint' (Combines Changepoint Analysis with 'ggplot2')
 R provides fantastic tools for changepoint analysis, but plots generated by
 the tools do not have the 'ggplot2' style. This tool, however, combines
 'changepoint', 'changepoint.np' and 'ecp' together, and uses 'ggplot2' to
 visualize changepoints.

Package: r-cran-ggcharts
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-colorspace, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-patchwork, r-cran-rlang
Suggests: r-cran-gapminder, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-tibble, r-cran-tidyr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggcharts_0.2.1-1.ca2004.1_all.deb
Size: 245616
MD5sum: 8881cf258e4983236774be0bb9aa80d6
SHA1: 8f4856ced6e183e5abd5383578176cf251361631
SHA256: a95a8818da1aa53023ff0fd825144fbc53eeb7247eb663460abe8333fa3519b9
SHA512: 831dc3976e36bb8d9353065daac5453f2084997cbcbed3aad517382a7bd7eb921ac79c4f40c57f5496993aae4586ed0781947d6891e08d1b7f23ae7e94550199
Homepage: https://cran.r-project.org/package=ggcharts
Description: CRAN Package 'ggcharts' (Shorten the Distance from Data Visualization Idea to Actual Plot)
 Streamline the creation of common charts by taking care of a lot of data
 preprocessing and plot customization for the user. Provides a high-level
 interface to create plots using 'ggplot2'.

Package: r-cran-ggchernoff
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggchernoff_0.3.0-1.ca2004.1_all.deb
Size: 46508
MD5sum: 68a33c0dcc193e6e6bec2fcf773246bb
SHA1: ef2468db7132b052d41929b4af6823703e54749b
SHA256: 44d1036f157360e44f600fcd2db4dfbadde696af1dbb7b3d222d665312fafd6f
SHA512: 81107305328f64bdbfe5a13b584d66ea51095be41a28a3a35decc349ef4fef7899ea42beebaf43a8629d62460099aaf00826af849a86ee0be54c506c91e1ad05
Homepage: https://cran.r-project.org/package=ggChernoff
Description: CRAN Package 'ggChernoff' (Chernoff Faces for 'ggplot2')
 Provides a Chernoff face geom for 'ggplot2'. Maps multivariate data to
 human-like faces. Inspired by Chernoff (1973)
 <doi:10.1080/01621459.1973.10482434>.

Package: r-cran-ggcleveland
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-rlang, r-cran-magrittr, r-cran-readr, r-cran-egg, r-cran-vctrs, r-cran-lattice, r-cran-tibble, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggcleveland_0.1.0-1.ca2004.1_all.deb
Size: 930916
MD5sum: efafc9eaaf8d97b63cbb4396c3d77222
SHA1: 54b7146b901333d78b059c163bbf4ce67a365d10
SHA256: f0a22b1b3d3ee21e5c0d34bd5b024a4e92c27ec4b13fae616c221f40c4167d3e
SHA512: 5a7f84f98a202dfeb1868b69586320ab8a1d4ba8afa79cfd77d145dad995523fe6c90fdf21e9bf5b86cba9bffc2cf13a037f0331a7c4e5640e496e302b5c01ed
Homepage: https://cran.r-project.org/package=ggcleveland
Description: CRAN Package 'ggcleveland' (Implementation of Plots from Cleveland's Visualizing Data Book)
 William S. Cleveland's book 'Visualizing Data' is a classic piece of
 literature on Exploratory Data Analysis. Although it was written several
 decades ago, its content is still relevant as it proposes several tools
 which are useful to discover patterns and relationships among the data under
 study, and also to assess the goodness of fit o a model.  This package
 provides functions to produce the 'ggplot2' versions of the visualization
 tools described in this book and is thought to be used in the context of
 courses on Exploratory Data Analysis.

Package: r-cran-ggcompare
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggcompare_0.0.3-1.ca2004.1_all.deb
Size: 132380
MD5sum: c4ecde7c22f1729babf554450d08776f
SHA1: 80992c65f53c03dc37c95fb87a775c16e0929a2c
SHA256: a270fd2b943dd21e574f6f21607ec7d381e460e77529de22068fdf0680e4e09f
SHA512: 17d57e10d72e1bacfd83fa98c6d5c0dceed6507abedccba8a8f5def18de8406fd6516f0a711f26bd1cfc4e2d8dd54855d8db26833e61a231124642c493dd17e4
Homepage: https://cran.r-project.org/package=ggcompare
Description: CRAN Package 'ggcompare' (Mean Comparison in 'ggplot2')
 Add mean comparison annotations to a 'ggplot'.  This package provides an
 easy way to indicate if two or more groups are significantly different in a
 'ggplot'.  Usually you do not need to specify the test method, you only need
 to tell stat_compare() whether you want to perform a parametric test or a
 nonparametric test, and stat_compare() will automatically choose the
 appropriate test method based on your data.  For comparisons between two
 groups, the p-value is calculated by t-test (parametric) or Wilcoxon rank
 sum test (nonparametric). For comparisons among more than two groups, the
 p-value is calculated by One-way ANOVA (parametric) or Kruskal-Wallis test
 (nonparametric).

Package: r-cran-ggconf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1635
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rly
Suggests: r-cran-knitr, r-cran-testthat, r-cran-futile.logger, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ggconf_0.1.3-1.ca2004.1_all.deb
Size: 1047052
MD5sum: 292d64759779d54d92071b9a45fc1556
SHA1: c9633a27e9d9dfd3c66edc3331e9ef3377471825
SHA256: 99081b9a37386b752ad6c8a08dac2a902681c7eae622dd15d5c2168d8572090a
SHA512: d2b202b50ec4fe3df570cc0bd59fb2698576a3d8d2ef9959c0d4880c36d215bea328edbf184e412680e0c6fe58e2b2f1c1ae46d7321098534d60d2165558ac95
Homepage: https://cran.r-project.org/package=ggconf
Description: CRAN Package 'ggconf' (Simpler Appearance Modification of 'ggplot2')
 A flexible interface for ggplot2::theme(), potentially saving 50% of your
 typing.

Package: r-cran-ggcorrplot
Architecture: all
Version: 0.1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-spelling, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggcorrplot_0.1.4.1-1.ca2004.1_all.deb
Size: 29624
MD5sum: d2d0662b167a5e234fce6ba7f7dbb640
SHA1: 73825e1d2aead0291c5ffc7d2ec6d6622b6a6ee3
SHA256: 95b475a123fc308086112b0d1e96b9ad378ccbea82177bea74a4bddf7a742535
SHA512: 34816328e08810545a525616665e19e68f04cf72e2845a299ac816761aafa16174a898d438c9b0d96241dd7b9c6fa0b211a725e1abb26aa1800ff18f6cf51561
Homepage: https://cran.r-project.org/package=ggcorrplot
Description: CRAN Package 'ggcorrplot' (Visualization of a Correlation Matrix using 'ggplot2')
 The 'ggcorrplot' package can be used to visualize easily a correlation
 matrix using 'ggplot2'. It provides a solution for reordering the
 correlation matrix and displays the significance level on the plot. It also
 includes a function for computing a matrix of correlation p-values.

Package: r-cran-ggcorset
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3696
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gghalves
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-viridis, r-cran-metbrewer
Filename: pool/dists/focal/main/r-cran-ggcorset_0.5.0-1.ca2004.1_all.deb
Size: 2799128
MD5sum: 07ae7ef758a2fbabc72b5696ac16aec4
SHA1: 3728ee317025a835c0b27bb7bb60c54b57a28139
SHA256: 4bedbb3e006dacb0ab6caf012dbace0de64dcdc4a4e780905f1b27148d04c79e
SHA512: ae1eb508b280938a681ae13d967ea131bd22f086842d590ea2d7c0ddfdcedde8cb90e0e7e070661f4531f43ff1eda3977b347c57879dace7f48e9b7289d248cd
Homepage: https://cran.r-project.org/package=ggcorset
Description: CRAN Package 'ggcorset' (The Corset Plot)
 Corset plots are a visualization technique used strictly to visualize repeat
 measures at 2 time points (such as pre- and post- data). The distribution of
 measurements are visualized at each time point, whilst the trajectories of
 individual change are visualized by connecting the pre- and post- values
 linearly. These lines can be coloured to represent the magnitude of change,
 or other user-defined value. This method of visualization is ideal for
 showing the heterogeneity of data, including differences by sub-groups. The
 package relies on 'ggplot2' allowing for easy integration so that users can
 customize their visualizations as required. Users can create corset plots
 using data in either wide or long format using the functions gg_corset() or
 gg_corset_elongated(), respectively.

Package: r-cran-ggcoverage
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7174
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-bioc-genomicranges, r-bioc-ggbio, r-cran-ggh4x, r-cran-ggplot2, r-cran-ggrepel, r-bioc-iranges, r-cran-magrittr, r-cran-patchwork, r-cran-rcolorbrewer, r-cran-rlang, r-bioc-rsamtools, r-bioc-rtracklayer, r-cran-scales, r-bioc-genomeinfodb, r-bioc-s4vectors, r-bioc-biostrings, r-bioc-bsgenome, r-bioc-genomicalignments, r-cran-reshape2, r-cran-seqinr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-bioc-biocstyle, r-cran-htmltools, r-bioc-bsgenome.hsapiens.ucsc.hg19
Filename: pool/dists/focal/main/r-cran-ggcoverage_0.7.1-1.ca2004.1_all.deb
Size: 2530104
MD5sum: 499654b9f3e46316626e67216b110f31
SHA1: 7f26e17f644ce89b278d48ec834d9ab607d32ec6
SHA256: 4916594f43eef6e6569d8a478d617b43d925eafdf9aa419e49a80804ff69b8b1
SHA512: c4174e318d05bfd5dda9036dfee550b134c8edee90a1b1c723b1156fd3dc257b2edd48374597d271594030827783827f1b1a1e84de0b7076cb3f23840bb95c91
Homepage: https://cran.r-project.org/package=ggcoverage
Description: CRAN Package 'ggcoverage' (Visualize Genome Coverage with Various Annotations)
 The goal of 'ggcoverage' is to simplify the process of visualizing genome
 coverage. It contains functions to load data from BAM, BigWig or BedGraph
 files, create genome coverage plot, add various annotations to the coverage
 plot, including base and amino acid annotation, GC annotation, gene
 annotation, transcript annotation, ideogram annotation and peak annotation.

Package: r-cran-ggdag
Architecture: all
Version: 0.2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dagitty, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggraph, r-cran-ggrepel, r-cran-igraph, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidygraph
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ggdag_0.2.13-1.ca2004.1_all.deb
Size: 1834328
MD5sum: e30534f4a84140e43a528c58efe03466
SHA1: ad11ac9b5c79269b6720893b097dab91d3811c0a
SHA256: 600cbb102d97c7db1c80e1410a9d9912691b4893baafc55bac7e29d2e000c304
SHA512: 3b565e607e93f79fe0e67f4fe2e3299dfc5546ae3acc5fad0478c406ad75247697ea8a25cae15c18d678b08af56abc55a66659365d7d82ea3283e5524246492f
Homepage: https://cran.r-project.org/package=ggdag
Description: CRAN Package 'ggdag' (Analyze and Create Elegant Directed Acyclic Graphs)
 Tidy, analyze, and plot directed acyclic graphs (DAGs).  'ggdag' is built on
 top of 'dagitty', an R package that uses the 'DAGitty' web tool
 (<https://dagitty.net/>) for creating and analyzing DAGs. 'ggdag' makes it
 easy to tidy and plot 'dagitty' objects using 'ggplot2' and 'ggraph', as
 well as common analytic and graphical functions, such as determining
 adjustment sets and node relationships.

Package: r-cran-ggdark
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1595
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggdark_0.2.1-1.ca2004.1_all.deb
Size: 1517504
MD5sum: a2d6066cb09483eb7e6893875760e981
SHA1: e932896332eb7ef6cca8a62458fa61961bf25e42
SHA256: ef8d75c97a7700436703667a024efaceae7486a7e7bacb4f31da6c59ed3220fe
SHA512: a68a6ea5b225138f661ef1eec5fed028838a493ed9760298a2a6aaa337f6bd0285d28d5091ca8a0475c47cde0fd833e5af63492574a646dcb4c460342ea2e795
Homepage: https://cran.r-project.org/package=ggdark
Description: CRAN Package 'ggdark' (Dark Mode for 'ggplot2' Themes)
 Activate dark mode on your favorite 'ggplot2' theme with dark_mode() or use
 the dark versions of 'ggplot2' themes, including dark_theme_gray(),
 dark_theme_minimal(), and others. When a dark theme is applied, all geom
 color and geom fill defaults are changed to make them visible against a dark
 background. To restore the defaults to their original values, use
 invert_geom_defaults().

Package: r-cran-ggdaynight
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggdaynight_0.1.3-1.ca2004.1_all.deb
Size: 181444
MD5sum: 06bcf31aad643814a541e56562428627
SHA1: 0f3eba096ff15b959cd8b5732e0b4e1310c6be30
SHA256: 0bdffd4fd1b98551384ed98882d81967b0b8c3733e6377edd5fd482ca111d190
SHA512: 1a0b06eb8a138f6ef5c0fd84134fe8985bc0955c4fee47210135ad7f930b1b8255033994814fbeeb92a3c97ef3820aa1293198a150d89f9e60b3448f6243eca8
Homepage: https://cran.r-project.org/package=ggdaynight
Description: CRAN Package 'ggdaynight' (Add Day/Night Patterns to 'ggplot2' Plots)
 It provides a custom 'ggplot2' geom to add day/night patterns to plots.  It
 visually distinguishes daytime and nighttime periods. It is useful for
 visualizing data that spans multiple days and for highlighting diurnal
 patterns.

Package: r-cran-ggdca
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-do, r-cran-set, r-cran-rms, r-cran-base.rms, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ggdca_1.1-1.ca2004.1_all.deb
Size: 71560
MD5sum: 415fd493be21ab5c1bd83680d451c00b
SHA1: a8c3abf5a590c29b8d12da6d31a99c61d310f58b
SHA256: 8dd2ac65dc680912ea8b4e212ad76bc198e1a6962fdec72d562d5f8221a7a78f
SHA512: 4930901a40a6245f6af285e7df8204e6f8f47a47a735279da248ff3978734ce7400e8bc6fdd96848c99305670bbe10dce2a41192ccaba8497e1f21d444d77960
Homepage: https://cran.r-project.org/package=ggDCA
Description: CRAN Package 'ggDCA' (Calculate and Plot Decision Curve)
 Diagnostic and prognostic models are typically evaluated with measures of
 accuracy that do not address clinical consequences.  Decision-analytic
 techniques allow assessment of clinical outcomes but often require
 collection of additional information and may be cumbersome to apply to
 models that yield a continuous result.  Decision curve analysis is a
 suitable method for evaluating alternative diagnostic and prognostic
 strategies that has advantages over other commonly used measures and
 techniques.  This method was described by Andrew J. Vickers (2006)
 <doi:10.1177/0272989X06295361>.

Package: r-cran-ggdemetra
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4088
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-rjdemetra, r-cran-ggrepel, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggdemetra_0.2.9-1.ca2004.1_all.deb
Size: 2434892
MD5sum: 2e7ca063af3c48e10cc76448ac3b3ecf
SHA1: 17699ded718d115530b766a2085776bf51a376a1
SHA256: 0d5edfafe187d12af79d793040ec6109991a09827a859d94fd4b6beaca8a05b6
SHA512: e14801e361f71809a8f20fcfbb81a2b016aa1fbe10eead18209037276ce4f25b0090ab2205646abe03f69c2e5a771738ee747c646564c98f3d286087522778c9
Homepage: https://cran.r-project.org/package=ggdemetra
Description: CRAN Package 'ggdemetra' ('ggplot2' Extension for Seasonal and Trading Day Adjustment with'RJDemetra')
 Provides 'ggplot2' functions to return the results of seasonal and trading
 day adjustment made by 'RJDemetra'. 'RJDemetra' is an 'R' interface around
 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>), the seasonal
 adjustment software officially recommended to the members of the European
 Statistical System and the European System of Central Banks.

Package: r-cran-ggdendro
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-rpart, r-cran-tree, r-cran-testthat, r-cran-knitr, r-cran-cluster, r-cran-scales, r-cran-spelling, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggdendro_0.2.0-1.ca2004.1_all.deb
Size: 197112
MD5sum: 4d8e231c4c07ded11096f2940847a2f1
SHA1: 1dda77f904506fd12f8aa81df9342a57e924eaa4
SHA256: 35201f139498d2076048dad3181bc3bee4b1e19c7665cf3a966e01308bee5266
SHA512: 35d8068a1587ddc952c25ddbeb3b2df47d47781521f2623eafbce9f06dfe8aa0430484d4d9c7b2b261196e6b7b79cb173fedeb1572de0bb5621a336613774340
Homepage: https://cran.r-project.org/package=ggdendro
Description: CRAN Package 'ggdendro' (Create Dendrograms and Tree Diagrams Using 'ggplot2')
 This is a set of tools for dendrograms and tree plots using 'ggplot2'.  The
 'ggplot2' philosophy is to clearly separate data from the presentation.
 Unfortunately the plot method for dendrograms plots directly to a plot
 device without exposing the data.  The 'ggdendro' package resolves this by
 making available functions that extract the dendrogram plot data. The
 package provides implementations for 'tree', 'rpart', as well as diana and
 agnes (from 'cluster') diagrams.

Package: r-cran-ggdensity
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 817
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-isoband, r-cran-vctrs, r-cran-tibble, r-cran-mass, r-cran-scales
Suggests: r-cran-vdiffr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggdensity_1.0.0-1.ca2004.1_all.deb
Size: 427508
MD5sum: 98847f1598dadfa193d800f0bb684e61
SHA1: 84d12bdeb3eb6ac06541b71f9e593f9275529d53
SHA256: 4ba9e9fa8a1da70b5f315ec219414af56056c768097f3571eb48daccb068f41d
SHA512: 414781a23184533c1d4fbecd11aa99ee2bc08569509af10ae577f806d05a3a01fade23aa0d71d5453af84c91e6e0b08960f0f3634af4bade1793102e60c9e70b
Homepage: https://cran.r-project.org/package=ggdensity
Description: CRAN Package 'ggdensity' (Interpretable Bivariate Density Visualization with 'ggplot2')
 The 'ggplot2' package provides simple functions for visualizing contours of
 2-d kernel density estimates. 'ggdensity' implements several additional
 density estimators as well as more interpretable visualizations based on
 highest density regions instead of the traditional height of the estimated
 density surface.

Package: r-cran-ggdoe
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 912
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-insight
Suggests: r-cran-roxygen2, r-cran-tibble, r-cran-mass, r-cran-viridislite, r-cran-ggrepel, r-cran-patchwork, r-cran-unrepx, r-cran-geomtextpath, r-cran-rsm, r-cran-lhs, r-cran-doe.base
Filename: pool/dists/focal/main/r-cran-ggdoe_0.8-1.ca2004.1_all.deb
Size: 810276
MD5sum: ebda3ecf9dc7ef4c8cca8978ee0a5250
SHA1: 208b95be1e884d76e9a6819953dfc223364a79f5
SHA256: 33590affe12a4a6051594ba3b9f733423fdcafda7cf51bd53bf770b15c4f2812
SHA512: 5ab3432742801ebefea9ab9e9a41ade6eea282121a368bca34e3ddd3993591e10c06a2c98e5260581bfff5deac2948d58fc791650d1eb787d417dacd37bfc7c1
Homepage: https://cran.r-project.org/package=ggDoE
Description: CRAN Package 'ggDoE' (Modern Graphs for Design of Experiments with 'ggplot2')
 Generate commonly used plots in the field of design of experiments using
 'ggplot2'.  'ggDoE' currently supports the following plots: alias matrix,
 box cox transformation, boxplots, lambda plot, regression diagnostic plots,
 half normal plots, main and interaction effect plots for factorial designs,
 contour plots for response surface methodology, Pareto plot, and two
 dimensional projections of a latin hypercube design.

Package: r-cran-ggdoubleheat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-ggplot2, r-cran-ggnewscale
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dplyr, r-cran-scales, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ggdoubleheat_0.1.2-1.ca2004.1_all.deb
Size: 187672
MD5sum: be525c62c0a23f74d57e461c01b7f6ae
SHA1: 91ce204227e60b12a94304fb34e74158f3c8e8ae
SHA256: 49948bdc5c508da9fd37241a9b33dfa510d231e8eb089fbd64d8bc6fed4fd30c
SHA512: cc1603c98c298332deb1e53f572d9a46e372c26b85cbaf30a35015f677df1fd25f5123d4b307ee5e14c02d3ed22c9f651f303b3edbd7ba4168ca02c18da5715d
Homepage: https://cran.r-project.org/package=ggDoubleHeat
Description: CRAN Package 'ggDoubleHeat' (A Heatmap-Like Visualization Tool)
 A data visualization design that provides comparison between two (Double)
 data sources (usually on a par with each other) on one reformed heatmap,
 while inheriting 'ggplot2' features.

Package: r-cran-gge
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nipals, r-cran-reshape2
Suggests: r-cran-agridat, r-cran-knitr, r-cran-lattice, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gge_1.9-1.ca2004.1_all.deb
Size: 157756
MD5sum: 391fdeea67ada0b9ca4680ef65cd5861
SHA1: 64617bc6f4a5e43c5bd71106e0daf268fe66e49c
SHA256: 8ae4ba52e3988d63cfb531539163b5a0ccf753dc927d0d199bd3690649ff7138
SHA512: c50062a68b0bb5deab5aa17e93baae3407c7f46c2c3a1060bf6875b03d966846fe8af00da804ea33d54895a15b1e45dd07970eb3a63a1be6f31efef2ccde2f2d
Homepage: https://cran.r-project.org/package=gge
Description: CRAN Package 'gge' (Genotype Plus Genotype-by-Environment Biplots)
 Create biplots for GGE (genotype plus genotype-by-environment) and GGB
 (genotype plus genotype-by-block-of-environments) models.  See Laffont et
 al. (2013) <doi:10.2135/cropsci2013.03.0178>.

Package: r-cran-ggeasy
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3996
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-clipr, r-cran-labelled, r-cran-patchwork, r-cran-vdiffr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggeasy_0.1.6-1.ca2004.1_all.deb
Size: 3692920
MD5sum: 07bac2f9a8ebb8d70b60a65d269dd65e
SHA1: baf0cccf82d2cb7c481e8e73233b7df8e1ea0974
SHA256: 589895165c0e179d3c4c1c07ae92908321f79bad07c0193e975bfcfcc3afa0f6
SHA512: a378c34dba82e8ad206e2445570d7b43bbf23416d465ae68675322d762f2857295b4f606c31629e90aea272acd019d9cae770b9d7023b4148dcd2bcbd9154dd3
Homepage: https://cran.r-project.org/package=ggeasy
Description: CRAN Package 'ggeasy' (Easy Access to 'ggplot2' Commands)
 Provides a series of aliases to commonly used but difficult to remember
 'ggplot2' sequences.

Package: r-cran-ggebiplots
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggforce, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggebiplots_0.1.3-1.ca2004.1_all.deb
Size: 70748
MD5sum: 1754fb5a89d8b6159741ee4a77929bea
SHA1: d0b0e33c16f5163426f81faaeb1e19773d1351aa
SHA256: 858d0fe3019c826df5a6bbc4eb25b6d6649a9320a7b2b57e0e6ebd4849940e3f
SHA512: 4d1434a66eb61b8c966fc52d8d60099e2d2589b3ddd3df125a6788aef1969cd0812ceab80e84f795bfa691200c44e8812bbf03c41704902444a2226de5b38ab3
Homepage: https://cran.r-project.org/package=GGEBiplots
Description: CRAN Package 'GGEBiplots' (GGE Biplots with 'ggplot2')
 Genotype plus genotype-by-environment (GGE) biplots rendered using
 'ggplot2'. Provides a command line interface to all of the functionality
 contained within the archived package 'GGEBiplotGUI'.

Package: r-cran-ggeda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertions, r-cran-cli, r-cran-ggiraph, r-cran-ggplot2, r-cran-ggtext, r-cran-patchwork, r-cran-rank, r-cran-rlang
Suggests: r-cran-covr, r-cran-infotheo, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tsp
Filename: pool/dists/focal/main/r-cran-ggeda_0.1.0-1.ca2004.1_all.deb
Size: 2435368
MD5sum: 4523259c64070da0347be3f3d586a549
SHA1: 3a5146c759c01e071105fec6a0739d9adc951d86
SHA256: 0a0fb3d1e1803b3ec671e841447d17776af7b9a57bf60a487764f3aa373ae039
SHA512: 997f1f6e1e4b9b0c7666c37179a4dc861321aa250051cc78df3e998658fa0ff6cde054c0ae2d89d8ead99f720e466d169c54fc52a8bd517df33a80e3b9c8a479
Homepage: https://cran.r-project.org/package=ggEDA
Description: CRAN Package 'ggEDA' (Turnkey Visualisations for Exploratory Data Analysis)
 Provides interactive visualisations for exploratory data analysis of
 high-dimensional datasets.  Includes parallel coordinate plots for exploring
 large datasets with mostly quantitative features, but also stacked
 one-dimensional visualisations that more effectively show missingness and
 complex categorical relationships in smaller datasets.

Package: r-cran-ggedit
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-scales, r-cran-rstudioapi, r-cran-shiny, r-cran-miniui, r-cran-shinybs, r-cran-colourpicker, r-cran-shinyace
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggedit_0.4.1-1.ca2004.1_all.deb
Size: 515656
MD5sum: 7efbacf440ff02c7f2ec2438a70c8755
SHA1: 13c00247fc32ed2a14ad166c73171d95739d9238
SHA256: f214025f9ccc5bdf74d2e2797e1863cf873984a128feae4f6bdadf8b75f35bee
SHA512: ae37b8950d763b7402788e5dc129c28009f2e9e866db39f65a34b689268c03c47efc437ce0464a87b771717847d3bc5e2feb1a00b27ce7fbf5157556ef5eeffe
Homepage: https://cran.r-project.org/package=ggedit
Description: CRAN Package 'ggedit' (Interactive 'ggplot2' Layer and Theme Aesthetic Editor)
 Interactively edit 'ggplot2' layer and theme aesthetics definitions.

Package: r-cran-ggeffects
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1011
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-insight, r-cran-datawizard
Suggests: r-cran-aer, r-cran-afex, r-cran-aod, r-cran-bayestestr, r-cran-betareg, r-cran-brglm, r-cran-brglm2, r-cran-brms, r-cran-broom, r-cran-car, r-cran-cardata, r-cran-clubsandwich, r-cran-dfidx, r-cran-effects, r-cran-effectsize, r-cran-emmeans, r-cran-fixest, r-cran-gam, r-cran-gamlss, r-cran-gamm4, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-ggrepel, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-gridextra, r-cran-gt, r-cran-haven, r-cran-htmltools, r-cran-httr2, r-cran-jsonlite, r-cran-knitr, r-cran-lme4, r-cran-logistf, r-cran-logitr, r-cran-marginaleffects, r-cran-modelbased, r-cran-mass, r-cran-matrix, r-cran-mice, r-cran-mcmcglmm, r-cran-mumin, r-cran-mgcv, r-cran-mclogit, r-cran-mlogit, r-cran-nestedlogit, r-cran-nlme, r-cran-nnet, r-cran-ordinal, r-cran-parameters, r-cran-parsnip, r-cran-patchwork, r-cran-pscl, r-cran-plm, r-cran-quantreg, r-cran-rmarkdown, r-cran-rms, r-cran-robustbase, r-cran-rstanarm, r-cran-rstantools, r-cran-sandwich, r-cran-sdmtmb, r-cran-see, r-cran-sjlabelled, r-cran-sjstats, r-cran-speedglm, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-tibble, r-cran-tinytable, r-cran-vdiffr, r-cran-withr, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-ggeffects_2.3.0-1.ca2004.1_all.deb
Size: 801132
MD5sum: d8b9f7b964efd0146dc1962936b4b8ba
SHA1: e1bc5373a5f3649755a0263725d8b816041c0599
SHA256: b3e504f0a978d5c73a865878ccd32307225af3d66e3770e5555e1f5409110e58
SHA512: 6e07606db60ba6b8a5f9ec0279805d53759e6fd03b474b190a26d067091a4cbaead96a70b4c62fc5a1064042836cb74fc239b6d314990dd8cc16b47865be07ef
Homepage: https://cran.r-project.org/package=ggeffects
Description: CRAN Package 'ggeffects' (Create Tidy Data Frames of Marginal Effects for 'ggplot' fromModel Outputs)
 Compute marginal effects and adjusted predictions from statistical models
 and returns the result as tidy data frames. These data frames are ready to
 use with the 'ggplot2'-package. Effects and predictions can be calculated
 for many different models. Interaction terms, splines and polynomial terms
 are also supported. The main functions are ggpredict(), ggemmeans() and
 ggeffect(). There is a generic plot()-method to plot the results using
 'ggplot2'.

Package: r-cran-ggenealogy
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1370
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-plyr, r-cran-reshape2, r-cran-plotly
Suggests: r-cran-stringr, r-cran-knitr, r-cran-roxygen2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ggenealogy_1.0.3-1.ca2004.1_all.deb
Size: 1264152
MD5sum: acd0b6c7cf87089cefb366f05e0158a3
SHA1: 5393cd8894f78790dcb6292e76db8476d3656635
SHA256: 6af131dee6a5748983a9252edb4ef6efbb6cfd2643fd1796609b58129a853242
SHA512: 77b70eae6e7902f56fe5c595e40964005135211fa3e28e010d3b2917dfac0f2159d9a74892287491bb64ea3a6dfadb9c9faacb04bf64740960c5f07b785e91c6
Homepage: https://cran.r-project.org/package=ggenealogy
Description: CRAN Package 'ggenealogy' (Visualization Tools for Genealogical Data)
 Methods for searching through genealogical data and displaying the results.
 Plotting algorithms assist with data exploration and publication-quality
 image generation. Includes interactive genealogy visualization tools.
 Provides parsing and calculation methods for variables in descendant
 branches of interest. Uses the Grammar of Graphics.

Package: r-cran-ggesda
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1304
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-tidyverse, r-cran-rsda, r-cran-rlang, r-cran-r6, r-cran-dplyr, r-cran-tidyr, r-cran-gridextra, r-cran-gtools, r-cran-stringr, r-cran-prodlim, r-cran-ggforce, r-cran-ggpubr, r-cran-ggthemes, r-cran-tibble, r-cran-magrittr, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggesda_0.2.0-1.ca2004.1_all.deb
Size: 966120
MD5sum: bd0734e852796a2514dbd126fe0f7092
SHA1: 71ee32adf2e86b390efdc56ae7a2edd56c456201
SHA256: ce545af96ecd307c88a943980f8572775d780a008e2dd9a54dbcf2db66808316
SHA512: 59f0e9b0dec44f7e22844de008863b7a32d2350c3ca6ce3fa908b50b03ffc2b2c65bc6ed93d84c29dc9b4ae3b50ee8a02a99dabbb5acb6ae6e5d0251e8d88b1d
Homepage: https://cran.r-project.org/package=ggESDA
Description: CRAN Package 'ggESDA' (Exploratory Symbolic Data Analysis with 'ggplot2')
 Implements an extension of 'ggplot2' and visualizes the symbolic data with
 multiple plot which can be adjusted by more general and flexible input
 arguments. It also provides a function to transform the classical data to
 symbolic data by both clustering algorithm and customized method.

Package: r-cran-ggetho
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-behavr, r-cran-data.table, r-cran-stringr, r-cran-scales, r-cran-labeling, r-cran-rlang, r-cran-cli
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-zeitgebr
Filename: pool/dists/focal/main/r-cran-ggetho_0.3.7-1.ca2004.1_all.deb
Size: 150996
MD5sum: bcaee925ebaba5a4eb15511d9675a72c
SHA1: a34445bd1ab61a658c8bbc1cb5fe067b61553b8b
SHA256: f3b22ef0b6aba912a314c94ba054dae8162a7ec55a728f748def626a15048cb8
SHA512: 958ca1c251144466685381a3222e1f4c1eb10426f9858f81e0e2a2198057572c90ac286a6c76fa21e954c07fa3e659172cf96cfc715b5632cc9ed8f5d39b221b
Homepage: https://cran.r-project.org/package=ggetho
Description: CRAN Package 'ggetho' (Visualisation of High-Throughput Behavioural (i.e. Ethomics)Data)
 Extension of 'ggplot2' providing layers, scales and preprocessing functions
 useful to represent behavioural variables that are recorded over multiple
 animals and days.  This package is part of the 'rethomics' framework
 <https://rethomics.github.io/>.

Package: r-cran-ggextra
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-colourpicker, r-cran-ggplot2, r-cran-gtable, r-cran-miniui, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-vdiffr, r-cran-fontquiver, r-cran-svglite, r-cran-withr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-ggextra_0.10.1-1.ca2004.1_all.deb
Size: 328352
MD5sum: 6aacd821ea552355f4d3ff38fdec7a9d
SHA1: c5a25c7965bbbca2c6b59fd81ab414c18ec8ffac
SHA256: aaf34bdf9dc6562e816ad6a43b961a69a9e7cebfabd50db275c7b7c25ff76c0a
SHA512: dd8fad6a3fdd6012b1e65e2097c13117652e58e2d92a174b22528aa503d394c18433b5fab12301a00d0d805505da3aaedb1a0f896776fe101e202460587c07bd
Homepage: https://cran.r-project.org/package=ggExtra
Description: CRAN Package 'ggExtra' (Add Marginal Histograms to 'ggplot2', and More 'ggplot2'Enhancements)
 Collection of functions and layers to enhance 'ggplot2'. The flagship
 function is 'ggMarginal()', which can be used to add marginal
 histograms/boxplots/density plots to 'ggplot2' scatterplots.

Package: r-cran-ggfacto
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 532
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-ggiraph, r-cran-ggplot2, r-cran-dplyr, r-cran-forcats, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-ggrepel, r-cran-gridextra, r-cran-tabxplor, r-cran-withr, r-cran-magrittr, r-cran-data.table, r-cran-ggforce
Suggests: r-cran-widgetframe, r-cran-htmlwidgets, r-cran-finalfit, r-cran-kableextra, r-cran-plotly, r-cran-stringi, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggfacto_0.3.2-1.ca2004.1_all.deb
Size: 495088
MD5sum: 3197b689b698fbde65ede9ce3ea6a912
SHA1: 21b52c5ff131ac9698a21f29855025278367e4ce
SHA256: 3149b03516a4cbce78f8c42555a92a4b6754c8262d0dbfba571666684322f5fb
SHA512: 9de291817e974a15748c603e97ad3d40d991725b3323dd862738f1bec679e25f5f7941420603a7d51e19a779e140dd84f5dcf3393ea44384e6823f4c0096310f
Homepage: https://cran.r-project.org/package=ggfacto
Description: CRAN Package 'ggfacto' (Graphs for Correspondence Analysis)
 Readable, complete and pretty graphs for correspondence analysis made with
 'FactoMineR'. They can be rendered as interactive 'HTML' plots, showing
 useful informations at mouse hover. The interest is not mainly visual but
 statistical: it helps the reader to keep in mind the data contained in the
 cross-table or Burt table while reading the correspondence analysis, thus
 preventing over-interpretation.  Most graphs are made with 'ggplot2', which
 means that you can use the + syntax to manually add as many graphical pieces
 you want, or change theme elements. 3D graphs are made with 'plotly'.

Package: r-cran-ggfan
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-colorspace, r-cran-dplyr, r-cran-rstan
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-magrittr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ggfan_0.1.3-1.ca2004.1_all.deb
Size: 4016548
MD5sum: 7c16bad78d4d0f568c10703dd1606317
SHA1: 8e1fa4a7aaaec05cc851e07e44714564fea55e38
SHA256: 4bcac466eefdd944e81e64f25c7e3d28ba79160a077adb3aa39337a2ccc5714a
SHA512: dc157b2cd6e7344b5a95580e8ee6dda78fc2ab88a5a980cc639570bc783a31b5b6ad96cbe8c48d867b6a5b491da2cf6c1e7a87325df57f6272d28ad81813e936
Homepage: https://cran.r-project.org/package=ggfan
Description: CRAN Package 'ggfan' (Summarise a Distribution Through Coloured Intervals)
 Implements the functionality of the 'fanplot' package as 'geoms' for
 'ggplot2'. Designed for summarising MCMC samples from a posterior
 distribution, where a visualisation is desired for several values of a
 continuous covariate. Increasing posterior intervals of the sampled quantity
 are mapped to a continuous colour scale.

Package: r-cran-ggfields
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1150
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-sf, r-cran-scales
Suggests: r-cran-copernicusmarine, r-cran-knitr, r-cran-rmarkdown, r-cran-stars, r-cran-testthat, r-cran-vdiffr, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-ggfields_0.0.7-1.ca2004.1_all.deb
Size: 348208
MD5sum: 4c582395e769eeee22cda8239f6993e5
SHA1: 3f929ee65a8191057bd634aa8697b275a930f5eb
SHA256: 969880d83fa4e2cfa1ba22fe0772d9e3102a01898d2982cec69cfa0849a23502
SHA512: 6ec9173023bfbd75de91f52936f9bb67a0a52925bc327f215fe9e549435522a4bb01e4c95b72fa02ed41c1e1cc3810a1e98f937d9fa3e542e5c875cd6814919c
Homepage: https://cran.r-project.org/package=ggfields
Description: CRAN Package 'ggfields' (Add Vector Field Layers to Ggplots)
 Add vector field layers to ggplots. Ideal for visualising wind speeds, water
 currents, electric/magnetic fields, etc.  Accepts data.frames, simple
 features (sf), and spatiotemporal arrays (stars) objects as input. Vector
 fields are depicted as arrows starting at specified locations, and with
 specified angles and radii.

Package: r-cran-ggfigdone
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2179
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-httpuv, r-cran-httr, r-cran-readr, r-cran-jsonlite, r-cran-uuid, r-cran-filelock, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ggfigdone_0.1.2-1.ca2004.1_all.deb
Size: 340060
MD5sum: 6d03b1fefe4060b057d2cbc0b3852895
SHA1: 2d8112a1ce61e1a15272ff63cb82e51c2ac8930b
SHA256: 2b203d53dbf27196d393dcb6d8c1c861c028c91d98140aeb69447b37823f33a5
SHA512: 129c8de06cb8ffff62349fd7885805bbaf1a11063113695ff1ab65cbdace8622f784badeaff361afb3844c055f00771f196ed8eeb3655a026f41128191eb350e
Homepage: https://cran.r-project.org/package=ggfigdone
Description: CRAN Package 'ggfigdone' (Manage & Modify 'ggplot' Figures using 'ggfigdone')
 When you prepare a presentation or a report, you often need to manage a
 large number of 'ggplot' figures. You need to change the figure size, modify
 the title, label, themes, etc. It is inconvenient to go back to the original
 code to make these changes. This package provides a simple way to manage
 'ggplot' figures. You can easily add the figure to the database and update
 them later using CLI (command line interface) or GUI (graphical user
 interface).

Package: r-cran-ggfishplots
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1589
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-ggridges, r-cran-fishmethods, r-cran-broom, r-cran-rlang, r-cran-tidyselect, r-cran-magrittr, r-cran-ggrepel, r-cran-scales, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggfishplots_0.3.0-1.ca2004.1_all.deb
Size: 1416112
MD5sum: 39e6ffa7e2d3c37c4c515f6c79e0eeaf
SHA1: 9b5fdd82c1b4edd3ae28c30827f95feead9b49ea
SHA256: 2c2e06e66d4e0e95487354d5d88320ab8582ffdc9630d83f839ee38f31d30858
SHA512: 82d11a5549114ea0d8b3b757b884dfdc43454f6331f1d0cda5c5db5cdbaa0cc3415a351ada1d7a55dbe7bb237f1237a49f4f7e67b18bd3056b57ead08ba78539
Homepage: https://cran.r-project.org/package=ggFishPlots
Description: CRAN Package 'ggFishPlots' (Visualise and Calculate Life History Parameters for FisheriesScience using 'ggplot2')
 Contains functions to create life history parameter plots from raw data.
 The plots are created using 'ggplot2', and calculations done using the
 'tidyverse' collection of packages. The package contains references to
 FishBase (Froese R., Pauly D., 2023) <https://www.fishbase.se/>.

Package: r-cran-ggfittext
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringi, r-cran-shades, r-cran-gridtext, r-cran-ggplot2, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ggfittext_0.10.2-1.ca2004.1_all.deb
Size: 763864
MD5sum: 0b030e10eac57c5deda7180af8a0c04c
SHA1: da1de84f57a972e70962d5d0f4600f1c964ae163
SHA256: 293a1cd3f19451dd860031094bf8f9ec92a6a057961bb4f80648325b681d0b73
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Homepage: https://cran.r-project.org/package=ggfittext
Description: CRAN Package 'ggfittext' (Fit Text Inside a Box in 'ggplot2')
 A 'ggplot2' extension to fit text into a box by growing, shrinking or
 wrapping the text.

Package: r-cran-ggfixest
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2175
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-fixest, r-cran-dreamerr, r-cran-scales, r-cran-marginaleffects, r-cran-legendry
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-tinysnapshot, r-cran-magick, r-cran-rsvg, r-cran-svglite, r-cran-fontquiver, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ggfixest_0.3.0-1.ca2004.1_all.deb
Size: 1157036
MD5sum: c59c53cf965902b100ac0ee0fe67a213
SHA1: f549262278f355286778fdaf7b74acbfee4b6b4f
SHA256: 678e4f116f5446f4297caba708212e3b3df64e4afb4aca07908a096d96c8eaa3
SHA512: d86ca8d55b4a4000d7a7ac8d4d86a4c4542563812df7101df6e8271ea49af47ee497ea5a5b072d4af8120768828884c1e26279966b352ec8e5cd5f039b4c296f
Homepage: https://cran.r-project.org/package=ggfixest
Description: CRAN Package 'ggfixest' (Dedicated 'ggplot2' Methods for 'fixest' Objects)
 Provides 'ggplot2' equivalents of fixest::coefplot() and fixest::iplot(),
 for producing nice coefficient plots and interaction plots. Enables some
 additional functionality and convenience features, including grouped
 multi-'fixest' object faceting and programmatic updates to existing plots
 (e.g., themes and aesthetics).

Package: r-cran-ggflowchart
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-ggplot2, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rcartocolor, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggflowchart_1.0.0-1.ca2004.1_all.deb
Size: 105160
MD5sum: 07f2f9f443aff32e3acf77d7dcc291a3
SHA1: 9abbc59fe705245c8093e83dd21a517f17e820e4
SHA256: b640edc686ae8dff744ddf994619fcb581c08756139df9872520fadb2079c523
SHA512: b49d6b918d1d03e6650d718cdcc098a485d66552315132d51c37658f8b2e83b57088247d24a25ee971fdf3aeb0ae5fcaf75e0a8863e5f0e711e192491dffb75a
Homepage: https://cran.r-project.org/package=ggflowchart
Description: CRAN Package 'ggflowchart' (Flowcharts with 'ggplot2')
 Flowcharts can be a useful way to visualise complex processes. This package
 uses the layered grammar of graphics of 'ggplot2' to create simple
 flowcharts.

Package: r-cran-ggfocus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 945
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-maps, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-ggfocus_1.0.0-1.ca2004.1_all.deb
Size: 655220
MD5sum: 9c70b4062774918691c2abcaf1584dc0
SHA1: c0e12f7ec64ce5c6661b7e2a0fb1778ad7163eca
SHA256: c2771ad4c11913ee4cb6546d2dd2c483a73c5c0ae0b51689bb253c65cd1de802
SHA512: bd368afe9da9ea2e04ce6c35e54ecc1f0276fbe5de892530941ac71f3b1193d4ff1077351574dfe0acb443749e0fe1d41769a1a2904ffd55696eeecc49883043
Homepage: https://cran.r-project.org/package=ggfocus
Description: CRAN Package 'ggfocus' (Scales that Focus Specific Levels in your ggplot())
 A 'ggplot2' extension that provides tools for automatically creating scales
 to focus on subgroups of the data plotted without losing other information.

Package: r-cran-ggfootball
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-dplyr, r-cran-gdtools, r-cran-gfonts, r-cran-ggiraph, r-cran-ggplot2, r-cran-ggsoccer, r-cran-glue, r-cran-highcharter, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-jsonlite, r-cran-readr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ggfootball_0.2.1-1.ca2004.1_all.deb
Size: 92544
MD5sum: b77cb066ba33ba8cc7837c23d620ac87
SHA1: 4e05607c474145347667846d52dd3a200f75122f
SHA256: b89f4b3e4e34eef5d54c6597208e49593e2fcf38514a3b1765098fe2adac407b
SHA512: 88ff7d98842f8b2e667682305f4c060e0d2c7dc29837cffb4d88c2fef9f118e7b07308b9bef55332d1f74ea95e1c8a66bbc330ce262effddaa1f5225204dedce
Homepage: https://cran.r-project.org/package=ggfootball
Description: CRAN Package 'ggfootball' (Plotting Football Matches Expected Goals (xG) Stats with'Understat' Data)
 Scrapes football match shots data from 'Understat' <https://understat.com/>
 and visualizes it using interactive plots: - A detailed shot map displaying
 the location, type, and xG value of shots taken by both teams.  - An xG
 timeline chart showing the cumulative xG for each team over time, annotated
 with the details of scored goals.

Package: r-cran-ggformula
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-ggridges, r-cran-mosaiccore, r-cran-rlang, r-cran-tibble, r-cran-stringr, r-cran-labelled
Suggests: r-cran-tidyr, r-cran-mosaicdata, r-cran-dplyr, r-cran-lattice, r-cran-mosaic, r-cran-palmerpenguins, r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-survival, r-cran-broom, r-cran-maps, r-cran-sf, r-cran-purrr, r-cran-ggthemes, r-cran-covr, r-cran-ggplot2movies, r-cran-interp, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-ggformula_0.12.0-1.ca2004.1_all.deb
Size: 1536892
MD5sum: 7e88e548c9578af10abdaf25460a14e0
SHA1: 2319670ab0035c677e1620dd908857de37b32154
SHA256: 0c7524552334402286c9694d7adb5e31d7225158039498ea30f22feb476fb9f4
SHA512: c5ae244ad0d9fc9cfbfe88dda7ed54bc10dae35aa14d3cecaef7342a38121ae1ab33021e06b4ca8398a5794f1fda9fc99ecbf41ff1fece93d86d7f1989fc9933
Homepage: https://cran.r-project.org/package=ggformula
Description: CRAN Package 'ggformula' (Formula Interface to the Grammar of Graphics)
 Provides a formula interface to 'ggplot2' graphics.

Package: r-cran-ggfortify
Architecture: all
Version: 0.4.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3229
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-gridextra, r-cran-scales, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-cluster, r-cran-changepoint, r-cran-fgarch, r-cran-forecast, r-cran-ggrepel, r-cran-glmnet, r-cran-kfas, r-cran-knitr, r-cran-lintr, r-cran-mapdata, r-cran-markdown, r-cran-mass, r-cran-mswm, r-cran-nlme, r-cran-raster, r-cran-rocr, r-cran-sp, r-cran-strucchange, r-cran-survival, r-cran-timeseries, r-cran-tseries, r-cran-vars, r-cran-xts, r-cran-zoo, r-cran-lfda
Filename: pool/dists/focal/main/r-cran-ggfortify_0.4.17-1.ca2004.1_all.deb
Size: 2018732
MD5sum: bcc8e23fb2e361768fde559c9fdd5347
SHA1: e35b26f09f4e7c389f197ffd6f9064c750f06103
SHA256: 35b14932312d3f393f5d020f2593a80e210e811a312c3120e35c5d5bc68789fd
SHA512: 8b056d37bce4b09e47dcbed42b54d49a1e1c9a0511256c41dd6e612db7f1e07cdd9f5441eb54647cf388df5b3d4ad373816470b4c06add2c7f3d9ddeee4ec7c2
Homepage: https://cran.r-project.org/package=ggfortify
Description: CRAN Package 'ggfortify' (Data Visualization Tools for Statistical Analysis Results)
 Unified plotting tools for statistics commonly used, such as GLM, time
 series, PCA families, clustering and survival analysis. The package offers a
 single plotting interface for these analysis results and plots in a unified
 style using 'ggplot2'.

Package: r-cran-ggfoundry
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2746
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cli, r-cran-grimport2, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-ggimage, r-cran-httr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggfoundry_0.3.1-1.ca2004.1_all.deb
Size: 2085544
MD5sum: 64611456be00f4ebd4b04b2ae5fb13b3
SHA1: 2183ec506ddce31096a6cc66eae03fb6806be251
SHA256: 2900e04a32e9382222053923bf43dff75310a67a8ac0b09f17f2e4ab5785ec7f
SHA512: 610bb1a0314e00cecc53261279dcb957faf1a543f9216a64acbf06cc06696adfa8db1c005ab35c5ff4bae8045ddeed2c7f8a4fbeccc27dbcdbd6dd261b3c389d
Homepage: https://cran.r-project.org/package=ggfoundry
Description: CRAN Package 'ggfoundry' (Shape Foundry & Geom for 'ggplot2')
 A 'ggplot2' extension that supports arbitrary hand-crafted colourable &
 fillable shapes. New shapes may be feature requested via a Github issue.

Package: r-cran-ggfun
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-yulab.utils
Suggests: r-cran-ggplotify, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-tidyr, r-cran-ggnewscale
Filename: pool/dists/focal/main/r-cran-ggfun_0.1.9-1.ca2004.1_all.deb
Size: 217340
MD5sum: f42b5b13a78657dc106b7a41756d71ca
SHA1: 6614ee88647c61782011433132f356af041fa590
SHA256: 4284234f829e212261b25a60ee43e709d335b81ec788398d44e8733017f02578
SHA512: ed420bd6cf630c07aa14ea65e27cf527181438d7b15f69a2a563110cd13a53c30126bf259f6897c9b47074e189730be3dcf72dc51a45260b906434da5656add6
Homepage: https://cran.r-project.org/package=ggfun
Description: CRAN Package 'ggfun' (Miscellaneous Functions for 'ggplot2')
 Useful functions and utilities for 'ggplot' object (e.g., geometric layers,
 themes, and utilities to edit the object).

Package: r-cran-ggfx
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1104
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magick, r-cran-ragg, r-cran-ggplot2, r-cran-gtable, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-farver
Filename: pool/dists/focal/main/r-cran-ggfx_1.0.1-1.ca2004.1_all.deb
Size: 765448
MD5sum: e89e5f7e21eec0cd190e616075e60685
SHA1: 397c8bc14bc29e6f141b936f89edb2cd6b21f760
SHA256: 639539740d4b1171697c09db0beb94b77a1fa96be6046ba80aba8dcb29d87d8c
SHA512: 90e2547eb387ff9bbcc48e079eef3bf2841c5d2030e5d87c5261fcbc649150018506a4df6d271fc7f9f8ac3cb47f219bf235a96fcf2c1e3eab93cc2c7171bba7
Homepage: https://cran.r-project.org/package=ggfx
Description: CRAN Package 'ggfx' (Pixel Filters for 'ggplot2' and 'grid')
 Provides a range of filters that can be applied to layers from the 'ggplot2'
 package and its extensions, along with other graphic elements such as guides
 and theme elements. The filters are applied at render time and thus uses the
 exact pixel dimensions needed.

Package: r-cran-gggap
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-gggap_1.0.1-1.ca2004.1_all.deb
Size: 28480
MD5sum: 49bc0be7545ab9127c9e0e1ece79a560
SHA1: 9eadbd0168fada15f4a656b434083818395ba2a8
SHA256: fc45527aa0947e5a9b1181a5ea963672138a189552ea9c02e0bc53716169008b
SHA512: 0f7f0630e3b3411a70fe3cd988f9a64fbae5d534784cb1cb32c21f38903660aeedf804894fd626e1e6a4e769dcfc3d6238d6f0daf3c2997aff730b8c9772ed65
Homepage: https://cran.r-project.org/package=gggap
Description: CRAN Package 'gggap' (Streamlined Creation of Segments on the Y-Axis of 'ggplot2'Plots)
 The function gggap() streamlines the creation of segments on the y-axis of
 'ggplot2' plots which is otherwise not a trivial task to accomplish.

Package: r-cran-gggenes
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggfittext, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vdiffr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gggenes_0.5.1-1.ca2004.1_all.deb
Size: 1182160
MD5sum: d77983c400fb53f7707c32363276df05
SHA1: a1720cfad27ecb6ef50fbacb8a6b69bfa84c79e3
SHA256: 9d7f5d3b584fd751db3cb15c95dc6e256074b5650c8c620a1626cde9a1d2f128
SHA512: dd3eac3395358a18a280e91f24628c8a9fa19f6c4a9183f14d237ae70633849ee2c6b4db7da2fc2c78d1332f5152f4e2dce1cab3ca7e741e6443f0427895d028
Homepage: https://cran.r-project.org/package=gggenes
Description: CRAN Package 'gggenes' (Draw Gene Arrow Maps in 'ggplot2')
 A 'ggplot2' extension for drawing gene arrow maps.

Package: r-cran-gggenomes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4946
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-vctrs, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-purrr, r-cran-tibble, r-cran-stringr, r-cran-jsonlite, r-cran-snakecase, r-cran-magrittr, r-cran-scales, r-cran-tidyselect, r-cran-colorspace, r-cran-ellipsis
Suggests: r-cran-testthat, r-bioc-ggtree, r-cran-patchwork, r-cran-hmisc, r-cran-knitr, r-cran-ggrepel, r-bioc-iranges
Filename: pool/dists/focal/main/r-cran-gggenomes_1.0.1-1.ca2004.1_all.deb
Size: 2763944
MD5sum: fa7a783a636c1714eb7f04daca530141
SHA1: 2602b0ee2db129af8fa4c195daf15a93f87cb7f3
SHA256: b57c57a431dc12cbf4d256532a160ab4f30d20ffcb4076767a92edc4959cfa41
SHA512: 153561a6266cd55d9fc216fa5ef6786aaa437c9390440475df613273689e9c366572639ab3cc8a0cfd3858a886e200f17110175db3b90e29a876fb46f977d68d
Homepage: https://cran.r-project.org/package=gggenomes
Description: CRAN Package 'gggenomes' (A Grammar of Graphics for Comparative Genomics)
 An extension of 'ggplot2' for creating complex genomic maps. It builds on
 the power of 'ggplot2' and 'tidyverse' adding new 'ggplot2'-style geoms &
 positions and 'dplyr'-style verbs to manipulate the underlying data. It
 implements a layout concept inspired by 'ggraph' and introduces tracks to
 bring tidiness to the mess that is genomics data.

Package: r-cran-ggghost
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-animation
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggghost_0.2.3-1.ca2004.1_all.deb
Size: 44588
MD5sum: 45cdef9f73bddec18bfc080f49be99fc
SHA1: f8da8ca29a35aa9d081120e10732ede552ed2069
SHA256: 20b31d7472844baa250b26ae74fe30607b6e7dafc27d442ea7d17cb7513f69f7
SHA512: 80a642a181f6753cb1d9acbffc7f881b8b5099da834d1fe159ce90adba66be8346d848d7db888cb38895b89fc65046ca3a08f35410b2df3255d076e8b59a4634
Homepage: https://cran.r-project.org/package=ggghost
Description: CRAN Package 'ggghost' (Capture the Spirit of Your 'ggplot2' Calls)
 Creates a reproducible 'ggplot2' object by storing the data and calls.

Package: r-cran-gggibbous
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-mapproj, r-cran-maps, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gggibbous_0.1.1-1.ca2004.1_all.deb
Size: 481192
MD5sum: f98e94eaeff92f016fafa1251b177c0e
SHA1: 0e949d700b2323d5f7df23201ba60e9f5f170703
SHA256: e1bd02d40f3a025b3a78d38859eea7909d1594d01a22df19f7e6ef848e3124a4
SHA512: 64fc1282dc9393aab67fbc6b5284d508e27aa3ab8ca5af8988625fd4079b945ca7df3ddb99d4ec95eb69aeb47bead98ab3bed9d2ad62f7d8e20a0f3ec9a33216
Homepage: https://cran.r-project.org/package=gggibbous
Description: CRAN Package 'gggibbous' (Moon Charts, a Pie Chart Alternative)
 Moon charts are like pie charts except that the proportions are shown as
 crescent or gibbous portions of a circle, like the lit and unlit portions of
 the moon. As such, they work best with only one or two groups.  'gggibbous'
 extends 'ggplot2' to allow for plotting multiple moon charts in a single
 panel and does not require a square coordinate system.

Package: r-cran-gggrid
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1040
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-vwline
Filename: pool/dists/focal/main/r-cran-gggrid_0.2-0-1.ca2004.1_all.deb
Size: 413548
MD5sum: f73983426663728dcb5f840cd3222264
SHA1: 2bc24f1814e0967edc6d04feb8826263c685bdcc
SHA256: 9719e4a5b83993179d9bceee936bbc4619780948f85c8426499b568c5a0d62b7
SHA512: 9623cd84a620e7bed5dede2440f3fcf462a2eeb98a3d44417409cb8fb628a6942f1eae651555365d3cb11ddbf3c7aba7084934b45b5618737c2106d76e9e3196
Homepage: https://cran.r-project.org/package=gggrid
Description: CRAN Package 'gggrid' (Draw with 'grid' in 'ggplot2')
 An extension of 'ggplot2' that makes it easy to add raw 'grid' output, such
 as customised annotations, to a 'ggplot2' plot.

Package: r-cran-ggh4x
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-scales, r-cran-vctrs, r-cran-rlang, r-cran-lifecycle, r-cran-cli, r-cran-s7
Suggests: r-cran-covr, r-cran-fitdistrplus, r-cran-ggdendro, r-cran-vdiffr, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggh4x_0.3.1-1.ca2004.1_all.deb
Size: 1757420
MD5sum: 1adb33e391a3564b26bf235318748fc9
SHA1: 45af29cc5ce692273c497edaaa2b2a99c9fabc6d
SHA256: 1823f5a07ca1a0260ca63af32902e821f65461abedf871c07b98a2b169b2db50
SHA512: eb1ec7ddbb2e148d534a6b98c1a511a996bc5980712e912f888cd9d2d56b966ded7ab766c832161f3d1374cd9658b963d8c1c95fc2581c7f8ea0bc84a1b9ed79
Homepage: https://cran.r-project.org/package=ggh4x
Description: CRAN Package 'ggh4x' (Hacks for 'ggplot2')
 A 'ggplot2' extension that does a variety of little helpful things.  The
 package extends 'ggplot2' facets through customisation, by setting
 individual scales per panel, resizing panels and providing nested facets.
 Also allows multiple colour and fill scales per plot. Also hosts a smaller
 collection of stats, geoms and axis guides.

Package: r-cran-gghalfnorm
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gghalfnorm_1.1.2-1.ca2004.1_all.deb
Size: 14824
MD5sum: f8be90b1d00147e99726dea208e97b4b
SHA1: d931d890786a1e3509c538c57ec00e9efce7794f
SHA256: ac1970250e2b6a430eacff7bbeb5a9db52a2b6d680e39da182c7bb26e3dc35d5
SHA512: 0025b669de68274a94f8533d13186935a5d0caac043843113e131b444f980c094e24498eedbe33e126f0b940b1736efcc63fe79fa6c15610ccc87b69a983c04d
Homepage: https://cran.r-project.org/package=gghalfnorm
Description: CRAN Package 'gghalfnorm' (Create a Half Normal Plot Using 'ggplot2')
 Reproduce the halfnorm() function found in the 'faraway' package using the
 'ggplot2' API.

Package: r-cran-gghalves
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 328
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gtable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-gghalves_0.1.4-1.ca2004.1_all.deb
Size: 227120
MD5sum: 9dc90bef8f1ffa91abbfb47a8d137619
SHA1: 774da647cbaf8be78c51129305a4a9a739357899
SHA256: a7433d3ad2f1f336cd4a42995b285d41e9155192026dc4a10c0bfcecff760a2c
SHA512: 0c37b9d3b20a9468424d67021fbb288df5c601bd972047ab91b7974e0ce9a8ab28efebe21a1a00fa4ed273806cfe09067008068989f40a61d83e3451530a7566
Homepage: https://cran.r-project.org/package=gghalves
Description: CRAN Package 'gghalves' (Compose Half-Half Plots Using Your Favourite Geoms)
 A 'ggplot2' extension for easy plotting of half-half geom combinations.
 Think half boxplot and half jitterplot, or half violinplot and half dotplot.

Package: r-cran-gghdr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1395
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hdrcde, r-cran-ggplot2, r-cran-scales, r-cran-farver, r-cran-tibble, r-cran-digest
Suggests: r-cran-spelling, r-cran-knitr, r-cran-testthat, r-cran-vdiffr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gghdr_0.2.0-1.ca2004.1_all.deb
Size: 1067820
MD5sum: f1b4179f7576612aeae747fd4c291182
SHA1: 30917552d23b9123d595b3b97b5994adf2c5e72f
SHA256: 72edc40f38b0cb91686c5d2b3a6f472f0d31a24401f2cbf3b007a936c7dc6e00
SHA512: 9ce86810e46585adb902dabed52c22b1bbef3079d1a7677ca6c83b07efef1e74883d48a0ad480a1113c90d51aee98bd1efcccf42f2f05412f849479736e74273
Homepage: https://cran.r-project.org/package=gghdr
Description: CRAN Package 'gghdr' (Visualisation of Highest Density Regions in 'ggplot2')
 Provides 'ggplot2' framework for visualising Highest Density Regions (HDR)
 <doi:10.1080/00031305.1996.10474359>. This work is based on the package
 'hdrcde'<https://pkg.robjhyndman.com/hdrcde/> and displays highest density
 regions in 'ggplot2' for one and two dimensions and univariate densities
 conditional on one covariate.

Package: r-cran-gghdx
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2781
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-showtext, r-cran-sysfonts, r-cran-tibble
Suggests: r-cran-covr, r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gghdx_0.1.4-1.ca2004.1_all.deb
Size: 1773120
MD5sum: 96d8baf27cf84ff9ced72fbbd8dc3e26
SHA1: 2b02b359fa4bc0a7f5e734b650b69375ae9db5e5
SHA256: c56ea26e536aa8e2c212cfe2a2b4e930649826fe58c2302c4c014610177a3ab5
SHA512: 6c094a690ae91a48e0aafdba89fb65b1c64977011aed794f99c811b0a689a0240aa1af96576a8685319cf9b09d44af6eda8b9d8e3bdbc3b3a2311056832c7fe9
Homepage: https://cran.r-project.org/package=gghdx
Description: CRAN Package 'gghdx' (HDX Theme, Scales, and Other Conveniences for 'ggplot2')
 A Humanitarian Data Exchange (HDX) theme, color palettes, and scales for
 'ggplot2' to allow users to easily follow the HDX visual design guide,
 including convenience functions for for loading and using the Source Sans 3
 font.

Package: r-cran-ggheatmap
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-aplot, r-cran-factoextra, r-cran-tibble, r-cran-ggpubr, r-cran-tidyr, r-cran-patchwork
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggheatmap_2.2-1.ca2004.1_all.deb
Size: 34928
MD5sum: 9e38db55122071141b64964db2e80714
SHA1: d9e84651b18fdddb2a74fed1825ed44ae4cb67d8
SHA256: d89a1649022a5154f29a6ccd9fb53f699df8f7aac6b2d798a72e8cbb510eb7fa
SHA512: 8b6e93f45651b6d5c7ff207425b673c472e9eca8de14ab37efa88e105ed8d32ce50246bca99b0df69d0dc596b2bab9d2c129c7072121953f086981f41c7badbb
Homepage: https://cran.r-project.org/package=ggheatmap
Description: CRAN Package 'ggheatmap' (Plot Heatmap)
 The flexibility and excellence of 'ggplot2' is unquestionable, so many
 drawing tools basically need 'ggplot2' as the operating object.  In order to
 develop a heatmap drawing system based on ggplot2, we developed this tool,
 mainly to solve the heatmap puzzle problem and the flexible connection
 between the heatmap and the 'ggplot2' object.  The advantages of this tool
 are as follows: 1. More flexible label settings; 2. Realize the linkage of
 heatmap and 'ggplot2' drawing system, which is helpful for operations such
 as puzzles; 3. Simple and easy to operate; 4. Optimization of clustering
 tree visualization.

Package: r-cran-gghexsize
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 752
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-farver, r-cran-ggplot2, r-cran-hexbin, r-cran-rlang, r-cran-scales, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-gghexsize_0.1.0-1.ca2004.1_all.deb
Size: 684304
MD5sum: 3b527012e1649a565988805692a880ab
SHA1: b05b60ca789901ea614297b7c8557b1043c3d4b0
SHA256: 9a55a0a4499da15ac6b01b164a39b4fe00b985c685f5cfa0f7c8d12f9f26b9ce
SHA512: a562c80b57539f11c1a5f694e02d42c10838d3dab00e4afbc83d710a289acbe296e4ea1506d4c4db05bbbabdb9ffee312158687b8491e1d2f49ac0edf831c281
Homepage: https://cran.r-project.org/package=gghexsize
Description: CRAN Package 'gghexsize' (Make Hexagonal Heatmaps with Varying Hexagon Sizes)
 Create hexagonal heatmaps with 'ggplot2', using the 'size' aesthetic to
 variably size each hexagon.

Package: r-cran-gghighlight
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-ggrepel, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-scales
Suggests: r-cran-geomtextpath, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-gghighlight_0.5.0-1.ca2004.1_all.deb
Size: 962388
MD5sum: 1df20bc83f8ba7ccfe3925cccd2697cc
SHA1: acdbc5e6522f4f46480bf07694f603fb994aefbe
SHA256: 5f189178f55a200616e65a96ea88a775026cf3285f7250782a6508a5eaa33fd8
SHA512: 4ad571aec1c68f456fb5b110cba3ba68b86860c998dd189bb378c0161e6ac3edf59cc377bb2ddf93477c3533026109d87175deef1591eb46cff8a143d4d621d9
Homepage: https://cran.r-project.org/package=gghighlight
Description: CRAN Package 'gghighlight' (Highlight Lines and Points in 'ggplot2')
 Make it easier to explore data with highlights.

Package: r-cran-gghist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gghist_0.1.0-1.ca2004.1_all.deb
Size: 18596
MD5sum: cd34866d58f007f59db9ad4868595896
SHA1: 80819174878e55eae7e15d40302058cc1ae8c043
SHA256: 15034de4b405bff777c17a1139a545883bbfdc27d480e1b8d66b171787076b66
SHA512: a87047fb371addbdbb5cd8c5d94d0b57e4ec3cc85e0cab49f6887e7d8b3d6a51d38951ecaac5909cdf4de8b090d81a1b9344bb71935c0c0b2f494a2d11fa4a0f
Homepage: https://cran.r-project.org/package=gghist
Description: CRAN Package 'gghist' (Plot the Histogram of a Numeric Vector)
 Wrapper around geom_histogram() of 'ggplot2' to plot the histogram of a
 numeric vector. This is especially useful, since qplot() was deprecated in
 'ggplot2' 3.4.0.

Package: r-cran-gghoriplot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4889
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-ggthemes, r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-gghoriplot_1.0.1-1.ca2004.1_all.deb
Size: 3510600
MD5sum: d6f388cf615c922cb684f30e2915126a
SHA1: ec2556ca0d2cf069727802e2484d178a810a28ca
SHA256: ac8e4d598edf7903081bea8bc22030f882a4076b1a6be52ddf3bd89647e68ff3
SHA512: 8b9423bbc5f6d6748b405e2f8361602edb7084d9b663bb073a14fe0821b20e57619b6ddce73efee281fe695c0957e71639c2656576f0020195078d3ff7e118b7
Homepage: https://cran.r-project.org/package=ggHoriPlot
Description: CRAN Package 'ggHoriPlot' (Horizon Plots for 'ggplot2')
 A user-friendly, highly customizable R package for building horizon plots in
 the 'ggplot2' environment.

Package: r-cran-gghourglass
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1159
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-rlang, r-cran-suncalc, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-gghourglass_0.0.3-1.ca2004.1_all.deb
Size: 303164
MD5sum: 1906db7648792b03a7de236449742a9f
SHA1: cb8318460339465ab67feb59b706c69ff58d8a71
SHA256: 68df7f05b64c7bbf9bc5c91fd26e0ac213d6b7ff3ebb5fbe48a7f37fcc5d5d58
SHA512: ba346646962853191b52a4b4d707048a48e474d59c953222baeaf46424049f1a2a9fe470c9d638ac211c0017c0cc109d23c40b534e6c92a7c6602ad1fa16a22b
Homepage: https://cran.r-project.org/package=gghourglass
Description: CRAN Package 'gghourglass' (Plot Records per Time of Day)
 Splits date and time of day components from continuous 'datetime' objects,
 then plots them using grammar of graphics ('ggplot2'). Plots can also be
 decorated with solar cycle information (e.g., sunset, sunrise, etc.).  This
 is useful for visualising data that are associated with the solar cycle.

Package: r-cran-ggimage
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-ggfun, r-cran-ggplotify, r-cran-jsonlite, r-cran-magick, r-cran-scales, r-cran-tibble, r-cran-withr
Suggests: r-cran-ape, r-bioc-ggtree, r-cran-gridgraphics, r-cran-httr, r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-ggimage_0.3.3-1.ca2004.1_all.deb
Size: 152524
MD5sum: 693caad036d628bb3efaf0461d2a5a4f
SHA1: 3a54bcc2b6dcdfaa799ebc0559d73cc304fb09b7
SHA256: 75239072ca138153e62928cec2f4ec5efaacdfea60f9a2c4c7c35be7e88aa2b3
SHA512: 472cb1e2604a719123260c4ff1a4bbdbdc8468cd241a328be561875804002314fdbe61015d909d90ce6e1ad0472b4b5bc51558729c2f0b7f3c4cbcee69d19563
Homepage: https://cran.r-project.org/package=ggimage
Description: CRAN Package 'ggimage' (Use Image in 'ggplot2')
 Supports image files and graphic objects to be visualized in 'ggplot2'
 graphic system.

Package: r-cran-ggimg
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2518
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-jpeg, r-cran-png, r-cran-abind
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggimg_0.1.2-1.ca2004.1_all.deb
Size: 2135292
MD5sum: 1a853bcf3e9e623bdf0806831f3b4954
SHA1: 3f75db2c209d5ac450d44bb3f59e28d1e979c553
SHA256: 4135d4b7fc23a2b8221ebf52f0c41c18d74058a59448f1d92eebc8b04557c1a5
SHA512: 3ed7411bf017f5908cda3fb00893bc259a1902af99ef1c20d4b2d183f14d9d2c584a773738e6cb8a7697b9f14d5f865f473eb93c2c90875d9b742e69602e5a90
Homepage: https://cran.r-project.org/package=ggimg
Description: CRAN Package 'ggimg' (Graphics Layers for Plotting Image Data with 'ggplot2')
 Provides two new layer types for displaying image data as layers within the
 Grammar of Graphics framework. Displays images using either a rectangle
 interface, with a fixed bounding box, or a point interface using a central
 point and general size parameter. Images can be given as local JPEG or PNG
 files, external resources, or as a list column containing raster image data.

Package: r-cran-gginference
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gginference_0.1.3-1.ca2004.1_all.deb
Size: 199632
MD5sum: a64a2d561cfb2b89b1ad9823cad8c5da
SHA1: ee3ad38ac269238efa6b17617b3b8931cf33b68f
SHA256: 984abbed07312df8c90ba1e5628dfbd8613a7dee27fe8da244391136577bd1fc
SHA512: 7d461e9154d15c45accad0c7d10c2cae5548606b7ec9f65f3208d402c38b7f51f836a76d3b1d2e6d333f453988187c6bd812716333cc54d2bab44c77261bb93c
Homepage: https://cran.r-project.org/package=gginference
Description: CRAN Package 'gginference' (Visualise the Results of Inferential Statistics using 'ggplot2')
 Visualise the results of F test to compare two variances, Student's t-test,
 test of equal or given proportions, Pearson's chi-squared test for count
 data and test for association/correlation between paired samples.

Package: r-cran-gginnards
Architecture: all
Version: 0.2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-stringr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-pryr
Filename: pool/dists/focal/main/r-cran-gginnards_0.2.0-1-1.ca2004.1_all.deb
Size: 268076
MD5sum: e0a5d8651935391266d2d14ec37a412a
SHA1: b8e6afbad7ad3a8e3427b4e88af5c95850925430
SHA256: 17c634cc2c02e98a74c67be66a1e4531b107f5c4f430567a39619636c9284bdf
SHA512: 9b51fdcce68efc55c75b339a1437f9edf78f26ddd906af6d3aeb9ed41e4229465c18e77a8a62febf924c5227afb57d6239de77cd09ea0a34778f815db91ecc6a
Homepage: https://cran.r-project.org/package=gginnards
Description: CRAN Package 'gginnards' (Explore the Innards of 'ggplot2' Objects)
 Extensions to 'ggplot2' providing low-level debug tools: statistics and
 geometries echoing their data argument. Layer manipulation: deletion,
 insertion, extraction and reordering of layers. Deletion of unused variables
 from the data object embedded in "ggplot" objects.

Package: r-cran-ggir
Architecture: all
Version: 3.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10287
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-foreach, r-cran-doparallel, r-cran-signal, r-cran-zoo, r-cran-unisensr, r-cran-ineq, r-cran-psych, r-cran-irr, r-cran-lubridate, r-cran-ggirread, r-cran-actcr, r-cran-read.gt3x
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-actilifecounts, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-ggir_3.2-6-1.ca2004.1_all.deb
Size: 3099288
MD5sum: 8919b44b475f3bc091c155c23e2a6e73
SHA1: fd6bd16252d31740672867e00f8ca1bcf6b32b1f
SHA256: a8c885191bd6be1176b648014a7b1a194fb35e85d41b49a6dcf777816559a236
SHA512: 0ec5cabf8ae627fd767de2abead6b229f8b07b308707074861b823c29de307dddbdc54df1b9d4e08988e74e7ec681103a34f7e879369be5f815b6d674a981d83
Homepage: https://cran.r-project.org/package=GGIR
Description: CRAN Package 'GGIR' (Raw Accelerometer Data Analysis)
 A tool to process and analyse data collected with wearable raw acceleration
 sensors as described in Migueles and colleagues (JMPB 2019), and van Hees
 and colleagues (JApplPhysiol 2014; PLoSONE 2015). The package has been
 developed and tested for binary data from 'GENEActiv'
 <https://activinsights.com/>, binary (.gt3x) and .csv-export data from
 'Actigraph' <https://theactigraph.com> devices, and binary (.cwa) and
 .csv-export data from 'Axivity' <https://axivity.com>. These devices are
 currently widely used in research on human daily physical activity. Further,
 the package can handle accelerometer data file from any other sensor brand
 providing that the data is stored in csv format. Also the package allows for
 external function embedding.

Package: r-cran-ggiraphextra
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3909
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggiraph, r-cran-scales, r-cran-reshape2, r-cran-plyr, r-cran-mycor, r-cran-ppcor, r-cran-mgcv, r-cran-sjlabelled, r-cran-sjmisc, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-magrittr, r-cran-rcolorbrewer
Suggests: r-cran-th.data, r-cran-ggforce, r-cran-webshot, r-cran-ztable, r-cran-moonbook, r-cran-maps, r-cran-gcookbook, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggiraphextra_0.3.0-1.ca2004.1_all.deb
Size: 652064
MD5sum: 6cfd0567bf3573bab43c1fcb5377327e
SHA1: 2b783a9f7b83639e402104ebf85844923b774196
SHA256: 0341f2fdbe20c3774175b9d970eec7a3fcb99a4e6f7a505683855e78adee9533
SHA512: 5bc552b013867b100d66ce10e68c881d086e7e6830e0b4b934b34fc9ccb57743043cb947d104eb692fa97cef578afa2ccecbf08d7993f2a2ae0f7556aae517a3
Homepage: https://cran.r-project.org/package=ggiraphExtra
Description: CRAN Package 'ggiraphExtra' (Make Interactive 'ggplot2'. Extension to 'ggplot2' and 'ggiraph')
 Collection of functions to enhance 'ggplot2' and 'ggiraph'. Provides
 functions for exploratory plots.  All plot can be a 'static' plot or an
 'interactive' plot using 'ggiraph'.

Package: r-cran-ggisotonic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-ggisotonic_0.1.2-1.ca2004.1_all.deb
Size: 95888
MD5sum: cba67bd70170b4e0fde1ec56e8882cf4
SHA1: 5ad2ab760bafa85eda791cfb59efd320636202d1
SHA256: 9e547feb95aac446944c87ca6029c2da9a23ed95e1414caf6969994a8cf8e681
SHA512: cc194e1ffe5fcb92ad2ce873faf4d1436cfda32e886567ade4706b1baada17e650b72ea49a68be10dabebaabf4768f57f11e80ffafa8ca8b0014ab232225fee6
Homepage: https://cran.r-project.org/package=ggisotonic
Description: CRAN Package 'ggisotonic' ('ggplot2' Friendly Isotonic or Monotonic Regression Curves)
 Provides stat_isotonic() to add weighted univariate isotonic regression
 curves.

Package: r-cran-ggjoy
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggridges, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggjoy_0.4.1-1.ca2004.1_all.deb
Size: 24228
MD5sum: 180c56e3dbaaa350d63523ee8deded80
SHA1: 621b62d74f18b4abe7169028b2d70a5c72da6333
SHA256: 5d1667302ff3957006b3e076f165710adef49106dc8b769d8f358697e2299bf3
SHA512: fc46f78337e7fc277198c54b0f5061cb7ec67cd957f090890f4dd574fdd2a133616fb4f8eb84a974b6f2c4ad11609be4b39b16af147e6ee044065640f43168a8
Homepage: https://cran.r-project.org/package=ggjoy
Description: CRAN Package 'ggjoy' (Joyplots in 'ggplot2')
 Joyplots provide a convenient way of visualizing changes in distributions
 over time or space. This package enables the creation of such plots in
 'ggplot2'.

Package: r-cran-gglgbtq
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-gglgbtq_0.2.0-1.ca2004.1_all.deb
Size: 81248
MD5sum: d34b01b228e1450e55642e1ed9c0cef2
SHA1: 65ca9efc7e0bda940d2ddeafde2cf198f19c9f7c
SHA256: e7c2d74fb75a26af1df3f42c4cae87979444c03d0b0fff9599f4582a3299202a
SHA512: 67a9b31c495fba25a95be5fb56733a158403077db2432655556a54f921cfd4940ce08c374008e83724ed778f0ba0742456640d36094023102a099ff0528020c0
Homepage: https://cran.r-project.org/package=gglgbtq
Description: CRAN Package 'gglgbtq' (Show Pride on 'ggplot2' Plots)
 Provides multiple palettes based on pride flags with tailored themes.

Package: r-cran-gglm
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-broom, r-cran-broom.mixed, r-cran-cli, r-cran-dplyr, r-cran-metafor, r-cran-nlme, r-cran-patchwork, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-lme4, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gglm_1.0.4-1.ca2004.1_all.deb
Size: 154316
MD5sum: 20fef058ffa2340c30564f8d4739d4b9
SHA1: ed1bf7cf8703e66006a2b6c7164fcf9abfaef384
SHA256: e9b09ad1244240842045b1c60555542369446414fdbe18be727f20a946f437ab
SHA512: dac34c39e44c4b8f816838e5bdcd029b6a3a6890c44747e542df7f90322719035ce835925bfc9aa50d8b97597592813017122825644c8d78588f874baf0eb8c9
Homepage: https://cran.r-project.org/package=gglm
Description: CRAN Package 'gglm' (Grammar of Graphics for Linear Model Diagnostic Plots)
 Allows for easy creation of diagnostic plots for a variety of model objects
 using the Grammar of Graphics.  Provides functionality for both individual
 diagnostic plots and an array of four standard diagnostic plots.

Package: r-cran-gglogger
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-cli
Suggests: r-cran-rlang, r-cran-testthat, r-cran-s7
Filename: pool/dists/focal/main/r-cran-gglogger_0.1.6-1.ca2004.1_all.deb
Size: 256108
MD5sum: e3e759ecf602bc60a1bbf7e2e367dfc7
SHA1: c5552cecd5c3868b15e6fc99977785668ce041d1
SHA256: cca5c3f776163be6c95c416014999997aedcdcb70a8cd0b4a1905ccb50f256d3
SHA512: e0ac9aedddada702b55ee66578adb4fcb2f62757f36ac33d489ce5c7dc1d5f50434aacf11541614175903a15ecf335e0619fe21035aa4f0147fdfc752a707250
Homepage: https://cran.r-project.org/package=gglogger
Description: CRAN Package 'gglogger' (Track 'ggplot2' Calls)
 Provides a way to log 'ggplot' component calls, which can be useful for
 debugging and understanding how 'ggplot' objects are created.  The logged
 calls can be printed, saved, and re-executed to reproduce the original
 'ggplot' object.

Package: r-cran-gglorenz
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ineq
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-gglorenz_0.0.2-1.ca2004.1_all.deb
Size: 253560
MD5sum: fd61b89971c1ce2ba5b6f9e66c74e0bb
SHA1: 1f452bc0911e73a5663f796fbbe1d9cbeff49d80
SHA256: dd724be06197d9a974e4c9c4132f7b6943e546ee2499e6fac33fea6590b814b4
SHA512: 8fe39e42c878237d9ce73bc085b78f4eb750f5378904db0f9d40a27bc665b7a4a18df8014ae1cdfecdb743867c4579d7224b57ef2145f926201a9f6f95bdae70
Homepage: https://cran.r-project.org/package=gglorenz
Description: CRAN Package 'gglorenz' (Plotting Lorenz Curve with the Blessing of 'ggplot2')
 Provides statistical transformations for plotting empirical ordinary Lorenz
 curve (Lorenz 1905) <doi:10.2307/2276207> and generalized Lorenz curve
 (Shorrocks 1983) <doi:10.2307/2554117>.

Package: r-cran-ggm
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-biocmanager, r-bioc-graph, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-ggm_2.5.1-1.ca2004.1_all.deb
Size: 441004
MD5sum: 3f797b726ff3d6adc7b6a617086d0a8e
SHA1: e76a2dbaa8f79495228c824ffda151fde70cd8d7
SHA256: e2bc632574a9f0e77c87e9a7bd536f11d75f54d40564883e842f7c5f449dd448
SHA512: 40740f2f52dec6b1ccb815312579f6d111871ae5650232191c814fb07df00bfac98aec3c8ae2a4b241489f376d45d82b6427b793c84faad6341f2c0c024e900b
Homepage: https://cran.r-project.org/package=ggm
Description: CRAN Package 'ggm' (Graphical Markov Models with Mixed Graphs)
 Provides functions for defining mixed graphs containing three types of
 edges, directed, undirected and bi-directed, with possibly multiple edges.
 These graphs are useful because they capture fundamental independence
 structures in multivariate distributions and in the induced distributions
 after marginalization and conditioning.  The package is especially concerned
 with Gaussian graphical models for (i) ML estimation for directed acyclic
 graphs, undirected and bi-directed graphs and ancestral graph models (ii)
 testing several conditional independencies (iii) checking global
 identification of DAG Gaussian models with one latent variable (iv) testing
 Markov equivalences and generating Markov equivalent graphs of specific
 types.

Package: r-cran-ggmap
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4875
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-png, r-cran-plyr, r-cran-jpeg, r-cran-digest, r-cran-scales, r-cran-dplyr, r-cran-bitops, r-cran-glue, r-cran-httr, r-cran-stringr, r-cran-purrr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-cli
Suggests: r-cran-mass, r-cran-hexbin, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggmap_4.0.1-1.ca2004.1_all.deb
Size: 4731500
MD5sum: 5ec11ae75a228619226e863d6f87e38e
SHA1: 498290a42a9c7bd97e9594d61757aeca288c4f45
SHA256: aaf25bb8852ccba440716e1945784973972b75173c1f6142d4b9ca25514c55bd
SHA512: 12df01bf3528fd066a966131db0b02f58050b50a71c7ff6fdfd028dfe6b57ac79a7f52c50594180e0cedde28bfaae194881cc6b527eebb9b4f8583df42363d78
Homepage: https://cran.r-project.org/package=ggmap
Description: CRAN Package 'ggmap' (Spatial Visualization with ggplot2)
 A collection of functions to visualize spatial data and models on top of
 static maps from various online sources (e.g Google Maps and Stamen Maps).
 It includes tools common to those tasks, including functions for geolocation
 and routing.

Package: r-cran-ggmapcn
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-sf, r-cran-dplyr, r-cran-rlang, r-cran-ggspatial, r-cran-terra, r-cran-tidyterra, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggmapcn_0.1.2-1.ca2004.1_all.deb
Size: 3769564
MD5sum: 2790237f47e700742ffb922b6817a975
SHA1: 6763ac7a7ea96526dd4d89c776e5ec82b0750fb0
SHA256: d78f75732a3aa5c1dc29e3253c6a2bfe0f6fdf140e0d514dd35f284a88e85ebc
SHA512: 4c63229ab0844fde15e2378877e112e68feb5c38cf96177553f75dd02c7dd05a6a2e3a26cb200f530cbc099882b9b3a597e37080bbf2ae9e977d7a65872c2d56
Homepage: https://cran.r-project.org/package=ggmapcn
Description: CRAN Package 'ggmapcn' (Customizable China Map Visualizations)
 A 'ggplot2' extension for visualizing China’s map, offering customizable
 projections, boundary styles, and buffer zones for thematic maps.  Suitable
 for spatial data analysis and enhancing map visualization with flexible
 styling options.

Package: r-cran-ggmapinset
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 880
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-cli, r-cran-ggplot2, r-cran-lifecycle, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-ggrepel, r-cran-knitr, r-cran-nswgeo, r-cran-purrr, r-cran-rmarkdown, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ggmapinset_0.4.0-1.ca2004.1_all.deb
Size: 663752
MD5sum: 87b729b1b1fad5bab6d0a418da22ec31
SHA1: 739a8a6f801763d31229602ce1f4197265dc1b89
SHA256: 509077a2675ec437b6690c20524f3f3e92e26987efc93fc2e2a6c8590c573dbc
SHA512: 8f38368a03f8f0fe67f0dd3c1b2e64ade799ee7183a4292ac9603ecbf1baefe50cd6d122baf5d1b25a61b97c435648cb2d8d5120d8e121d6e35f33380139e06b
Homepage: https://cran.r-project.org/package=ggmapinset
Description: CRAN Package 'ggmapinset' (Add Inset Panels to Maps)
 Helper to add insets based on geom_sf() from 'ggplot2'.  This package gives
 you a drop-in replacement for geom_sf() that supports adding a zoomed inset
 map without having to create and embed a separate plot.

Package: r-cran-ggmatplot
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 772
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-vdiffr, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggmatplot_0.1.2-1.ca2004.1_all.deb
Size: 601344
MD5sum: c2525711ad02ebd82ccdb8fb52acc153
SHA1: be16fb75f954fd26535f2691bd1eb67e40afc05f
SHA256: 1c3a96dfaa6ac577332e60fd3285f6febd0fa8ede3d26512fc8e9feba8325ef6
SHA512: e062c14611f1e2b1a2ff66433e3e43d838755bc7b3b51531fa868ca557644079fe0a93e9c594081d284494555e3884d1ea7d699376449a8b043633b2159fa77a
Homepage: https://cran.r-project.org/package=ggmatplot
Description: CRAN Package 'ggmatplot' (Plot Columns of Two Matrices Against Each Other Using 'ggplot2')
 A quick and easy way of plotting the columns of two matrices or data frames
 against each other using 'ggplot2'. Although 'ggmatplot' doesn't provide the
 same flexibility as 'ggplot2', it can be used as a workaround for having to
 wrangle wide format data into long format for plotting with 'ggplot2'.

Package: r-cran-ggmcmc
Architecture: all
Version: 1.5.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggally
Suggests: r-cran-coda, r-cran-knitr, r-cran-rmarkdown, r-cran-ggthemes, r-cran-gridextra, r-cran-cairo, r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-ggmcmc_1.5.1.1-1.ca2004.1_all.deb
Size: 2870052
MD5sum: 559e84df829ae6e9fdcaf4bc42795e6d
SHA1: f4db89d6e29cff5aa34f932ad70c74cecb2e155a
SHA256: 85364a3f31229c0eb94df1326e8d85af96a212e926e1f66820be8e821a2dcc9b
SHA512: cb725d7a4688f4944e0c221656ae2161a79866a855e76db43c7d050b3ebb9c421492745eacc0c5c79314c1306f2f3d23bd4345a8283e0477a0d8dd852c3f6907
Homepage: https://cran.r-project.org/package=ggmcmc
Description: CRAN Package 'ggmcmc' (Tools for Analyzing MCMC Simulations from Bayesian Inference)
 Tools for assessing and diagnosing convergence of Markov Chain Monte Carlo
 simulations, as well as for graphically display results from full MCMC
 analysis. The package also facilitates the graphical interpretation of
 models by providing flexible functions to plot the results against observed
 variables, and functions to work with hierarchical/multilevel batches of
 parameters (Fernández-i-Marín, 2016 <doi:10.18637/jss.v070.i09>).

Package: r-cran-ggmice
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4549
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-mice, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-patchwork, r-cran-plotly, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggmice_0.1.0-1.ca2004.1_all.deb
Size: 1366900
MD5sum: 4a9bfbfb44532080d13962d0079d635f
SHA1: 678e7fc6fa14bb2ac77f3aca3e9accc5ddae283a
SHA256: a078414ce21927ef68f9bd8f554cd47e5e13ea6e2bae65f7af796f306ed5e8b9
SHA512: 994a593439f2fecce43aa69ffcd69a864af93063825872e73fad487c7ffce635dfb2316ca65f649d09fea3bb8b8867377b58b4fda5873937356b0c88fa2f4f46
Homepage: https://cran.r-project.org/package=ggmice
Description: CRAN Package 'ggmice' (Visualizations for 'mice' with 'ggplot2')
 Enhance a 'mice' imputation workflow with visualizations for incomplete
 and/or imputed data. The plotting functions produce 'ggplot' objects which
 may be easily manipulated or extended. Use 'ggmice' to inspect missing data,
 develop imputation models, evaluate algorithmic convergence, or compare
 observed versus imputed data.

Package: r-cran-ggmix
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4394
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-matrix
Suggests: r-cran-rspectra, r-cran-popkin, r-cran-bnpsd, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggmix_0.0.2-1.ca2004.1_all.deb
Size: 1223796
MD5sum: 9c8db8f6f2f7be3382df993c41d92928
SHA1: 64624082aebd791a58a07fe60e007e4df1282442
SHA256: 5c0d08c428dc63a24a207d0535f1ce8b65ebf3ebbc4dc5a5ae9d6e5be9e988eb
SHA512: 28ebb04c02856086dd0f67bc491eb4c994b61913474c0061c0ab058f71c524167ac1dd75c77ef62a5fe6519e89123ea663f3328e42ac91a0b3edf198efba8c09
Homepage: https://cran.r-project.org/package=ggmix
Description: CRAN Package 'ggmix' (Variable Selection in Linear Mixed Models for SNP Data)
 Fit penalized multivariable linear mixed models with a single random effect
 to control for population structure in genetic association studies. The goal
 is to simultaneously fit many genetic variants at the same time, in order to
 select markers that are independently associated with the response. Can also
 handle prior annotation information, for example, rare variants, in the form
 of variable weights. For more information, see the website below and the
 accompanying paper: Bhatnagar et al., "Simultaneous SNP selection and
 adjustment for population structure in high dimensional prediction models",
 2020, <DOI:10.1371/journal.pgen.1008766>.

Package: r-cran-ggmnonreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-bestglm, r-cran-ggally, r-cran-network, r-cran-sna, r-cran-matrix, r-cran-poibin, r-cran-doparallel, r-cran-foreach, r-cran-corpcor, r-cran-psych, r-cran-mass, r-cran-ggplot2, r-cran-ggmncv
Suggests: r-cran-qgraph
Filename: pool/dists/focal/main/r-cran-ggmnonreg_1.0.0-1.ca2004.1_all.deb
Size: 538492
MD5sum: aab9c8567ef2178efcf3c9c7d71cbca1
SHA1: df7e49a31aa33bb7064e12bf3cdbcd9e4e24c0af
SHA256: 1008981396f2851b4eeb2b07e24d9d7fff9a659543bcb8f3125b54e170d0004f
SHA512: 87a72a3b66d4e2155c5c8cd3a1aedee3cc5628cf3f020d2bc449688edf84cc1cdd0c31656c2c233094e41d7e8675e5dbf0bf424db45fb841d5f20a9f393e8f3d
Homepage: https://cran.r-project.org/package=GGMnonreg
Description: CRAN Package 'GGMnonreg' (Non-Regularized Gaussian Graphical Models)
 Estimate non-regularized Gaussian graphical models, Ising models, and mixed
 graphical models. The current methods consist of multiple regression, a
 non-parametric bootstrap <doi:10.1080/00273171.2019.1575716>, and Fisher z
 transformed partial correlations <doi:10.1111/bmsp.12173>. Parameter
 uncertainty, predictability, and network replicability
 <doi:10.31234/osf.io/fb4sa> are also implemented.

Package: r-cran-ggmosaic
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 973
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-productplots, r-cran-dplyr, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-ggrepel, r-cran-scales
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-nhanes, r-cran-rmarkdown, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-ggmosaic_0.3.3-1.ca2004.1_all.deb
Size: 770132
MD5sum: 5bcdff4c23634f2b7694402cc9268a2d
SHA1: a08e308b86bf7c900c3765d1db1999c3d2859e0f
SHA256: 428a421ecd20c75857fd3918eae154cdfae55dd33643158de062855f79f8627a
SHA512: 1ba9bbca1a169dac44606acbc9c5634c752e4dc6220b0317f733457c3055b7cd11a683a0adb1b8d494d5a4816e899f4946baeb5d057dc7b495a4fa844de9912a
Homepage: https://cran.r-project.org/package=ggmosaic
Description: CRAN Package 'ggmosaic' (Mosaic Plots in the 'ggplot2' Framework)
 Mosaic plots in the 'ggplot2' framework. Mosaic plot functionality is
 provided in a single 'ggplot2' layer by calling the geom 'mosaic'.

Package: r-cran-ggmotif
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7512
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tidyverse, r-cran-dplyr, r-cran-xml, r-cran-magrittr, r-cran-ggplot2, r-cran-stringr, r-bioc-ggtree, r-cran-ape, r-cran-patchwork, r-cran-ggseqlogo, r-bioc-memes, r-bioc-universalmotif, r-bioc-treeio, r-cran-cowplot, r-cran-ggsci, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggmotif_0.2.1-1.ca2004.1_all.deb
Size: 985788
MD5sum: 1ce46b17955ee19a0957d3724a1c3ed5
SHA1: df618f091d53a75b9cc45bd7a2bb830729c2a21c
SHA256: 62ccf41f0bb5394cc514732f9660d72676554e224d7184456af59fe6f0a06841
SHA512: 3ba17cf710f6de7523e2f4a84353d210a4301b82dce8443471cfe686322b3f219b7a0449081de0c5fc4bd638e2352285966cfc07044cccd31cefa25fee68862e
Homepage: https://cran.r-project.org/package=ggmotif
Description: CRAN Package 'ggmotif' (Extract and Visualize Motif Information from MEME Software)
 Extract and visualize motif information from XML file from MEME software.
 In biology, a motif is a nucleotide or amino acid sequence pattern that is
 widespread and usually assumed to be related to specifical biological
 functions.  There exist many software was used to discover motif sequences
 from a set of nucleotide or amino acid sequences. MEME is almost the most
 used software to detect motif.  It's difficult for biologists to extract and
 visualize the location of a motif on sequences from the results from MEME
 software.

Package: r-cran-ggmr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ggmr_0.1.1-1.ca2004.1_all.deb
Size: 25588
MD5sum: 773cfdd76166c602296740f82b3c018f
SHA1: 900fb4e4f5625d350a5ba7e366d9aa3e5e399353
SHA256: 76948252e407355c67dc938e8aa74fb93aab87686a41a0a82378bafc84422160
SHA512: b0d9666c25337c781cc41f07353634c6fa6430bf47549d4022f52f2ff8a5a1ae395f2a714cbe90bee7fdca0aafbcef8e5dbcc592a4d85da8bcee0df0c24720bc
Homepage: https://cran.r-project.org/package=ggmr
Description: CRAN Package 'ggmr' (Generalized Gauss Markov Regression)
 Implements the generalized Gauss Markov regression, this is useful when both
 predictor and response have uncertainty attached to them and also when
 covariance within the predictor, within the response and between the
 predictor and the response is present. Base on the results published in
 guide ISO/TS 28037 (2010) <https://www.iso.org/standard/44473.html>.

Package: r-cran-ggmridge
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ggmridge_1.5-1.ca2004.1_all.deb
Size: 73436
MD5sum: 6b611743e4e316d803603b627ec4362f
SHA1: ff00669060681a0425f153cb89b75821afd1c69f
SHA256: c6588e730047a8415454f8abe68cdcdc64f0fbe4a2bb15b83569d1ef3c6c46bc
SHA512: 863c001bbcb41815fc11d18143e98144d53cb9188ae9a34f45e44b86c9cc635661f628e2419dd90e80d6e415c300f0ef1d99249fc348be40e231196dbb637a4c
Homepage: https://cran.r-project.org/package=GGMridge
Description: CRAN Package 'GGMridge' (Gaussian Graphical Models Using Ridge Penalty Followed byThresholding and Reestimation)
 Estimation of partial correlation matrix using ridge penalty followed by
 thresholding and reestimation. Under multivariate Gaussian assumption, the
 matrix constitutes an Gaussian graphical model (GGM).

Package: r-cran-ggmrscu
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ggmrscu_0.1.0-1.ca2004.1_all.deb
Size: 75980
MD5sum: da49134d0d1d0bf14556f827b1abd823
SHA1: 5cec628ca0daa5759aeffe2e7a8d89fcb56197b7
SHA256: 2cd0a955b2b541634a609c8fa06a4a536a1dd8671a78baa948ae3223bfd38708
SHA512: 3d8763f9e9f227af9dce1872007f8e0ec8013678a3a4d6f5a9bca4b4d40f47d507f626cc6aec1c0c0652c691a382dd64c04c1d532ff79a16435df5baa5cc593d
Homepage: https://cran.r-project.org/package=ggmRSCU
Description: CRAN Package 'ggmRSCU' (Visualizing Multi-Species Relative Synonymous Codon Usage andExtensible Data Exploration)
 Facilitates efficient visualization of Relative Synonymous Codon Usage
 patterns across species. Based on analytical outputs from 'codonW', 'MEGA',
 and 'Phylosuite', it supports multi-species 'RSCU' comparisons and allows
 users to explore visual analysis of structurally similar datasets.

Package: r-cran-ggmugs
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggmugs_0.6.0-1.ca2004.1_all.deb
Size: 18156
MD5sum: ce44d5aa8fbdac56b05e5d2d50621973
SHA1: 3d5f998eb5ff87c2995a356608342b790f816e1b
SHA256: b3f524d976eaa281d5cd69ceaf6ce7f8046eafa0393b9ef4397fad0da0134464
SHA512: 82cd42968361873f3951e86689083da0094ab12da0aa99fa32ec6271bc3b385e47b86087f8deb352b04a359f6361dc769ac48bad630736ae4e40b77dca03fe35
Homepage: https://cran.r-project.org/package=ggmugs
Description: CRAN Package 'ggmugs' (Visualization of Multiple Genome-Wide Association Study SummaryStatistics)
 A 'grammar of graphics' approach for visualizing summary statistics from
 multiple Genome-wide Association Studies (GWAS). It offers geneticists,
 bioinformaticians, and researchers a powerful yet flexible tool for
 illustrating complex genetic associations using data from various GWAS
 datasets. The visualizations can be extensively customized, facilitating
 detailed comparative analysis across different genetic studies. Reference:
 Uffelmann, E. et al. (2021) <doi:10.1038/s43586-021-00056-9>.

Package: r-cran-ggmuller
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ape
Suggests: r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggmuller_0.5.6-1.ca2004.1_all.deb
Size: 292012
MD5sum: 7ab74e5599bdc3be7af7c8417f0697d3
SHA1: 03d1d50d4286fc628d20745daeeba861798020d7
SHA256: 86fc567394d91a11e1f24087611a5ff20249e60dd9e601875ad09c3fcfbc3b30
SHA512: 60be2926a491783e15350ce4b35693c670744d0da314bf0b54f7cd02bd1f637003da488cbaf5fc2ceb909e2e23a1f353867c2e53c2552f303c34c766d990027d
Homepage: https://cran.r-project.org/package=ggmuller
Description: CRAN Package 'ggmuller' (Create Muller Plots of Evolutionary Dynamics)
 Create plots that combine a phylogeny and frequency dynamics.  Phylogenetic
 input can be a generic adjacency matrix or a tree of class "phylo".
 Inspired by similar plots in publications of the labs of RE Lenski and JE
 Barrick. Named for HJ Muller (who popularised such plots) and H Wickham
 (whose code this package exploits).

Package: r-cran-ggmulti
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-cli
Suggests: r-cran-png, r-cran-stringr, r-cran-markdown, r-cran-magrittr, r-cran-gridextra, r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-gtable, r-cran-covr, r-cran-maps, r-cran-nycflights13, r-cran-ggplot2movies
Filename: pool/dists/focal/main/r-cran-ggmulti_1.0.7-1.ca2004.1_all.deb
Size: 2676032
MD5sum: e769b34d08cb982b04c20fbdd48dd03d
SHA1: ae89f09816839b938db1f28123a0a923676bd0c6
SHA256: eaf4ae118bb28576d3d96b652cca6974dabc49b5c6bf5363a76a5027c6e2caa1
SHA512: 31090000be77e9ed3eecaf91150814bec2177565a3a06f8ae10bd46f75087395066d93fc4e0a0628cd0e2961b52326bfcf403a0e5a3bd56e49edf6bf28b6f65d
Homepage: https://cran.r-project.org/package=ggmulti
Description: CRAN Package 'ggmulti' (High Dimensional Data Visualization)
 It provides materials (i.e. 'serial axes' objects, Andrew's plot, various
 glyphs for scatter plot) to visualize high dimensional data.

Package: r-cran-ggnetwork
Architecture: all
Version: 0.5.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3528
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-network, r-cran-igraph, r-cran-sna
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggnetwork_0.5.13-1.ca2004.1_all.deb
Size: 2247772
MD5sum: 04f5c5d02ba8a9ef8297696bf7daef97
SHA1: a179d9240b60447902d74ca19f524760ac10d035
SHA256: b259edf75441e9d59856ddb4a5b5c6e0cdfb91a8d0be45031b78c900539695ae
SHA512: 7e8ad6365a8902afecbb4d2611e24d10eafae644c2768ae0c036169ca4830bbd009eeb85edf9856e173c231a75b18dd47585dfb5b3772caeb0d717228b6ea73d
Homepage: https://cran.r-project.org/package=ggnetwork
Description: CRAN Package 'ggnetwork' (Geometries to Plot Networks with 'ggplot2')
 Geometries to plot network objects with 'ggplot2'.

Package: r-cran-ggnewscale
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggnewscale_0.5.2-1.ca2004.1_all.deb
Size: 341340
MD5sum: 1031517836c3c85d7824904a6eacdf25
SHA1: 6f2a7ffeeefed89cefb74567cb5fa90b1bfdd5ec
SHA256: 3c3345bd9bb3ad55af53687bce6126f4c2a5644918da3b5718103ad196e280ca
SHA512: 5b7d61b8e58bcd03ce51de64ae3579c175764ab2cf63080f74772be2e83af453d3cea05cf97f9a07bccab5342f950684682e602543e3a8a560107f9d7f60ba09
Homepage: https://cran.r-project.org/package=ggnewscale
Description: CRAN Package 'ggnewscale' (Multiple Fill and Colour Scales in 'ggplot2')
 Use multiple fill and colour scales in 'ggplot2'.

Package: r-cran-ggnormalviolin
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-scales
Suggests: r-cran-knitr, r-cran-quarto, r-cran-ragg, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggnormalviolin_0.2.1-1.ca2004.1_all.deb
Size: 643564
MD5sum: a09b725cbaed79dafb3c84840826191e
SHA1: b82e0a16fb08225ba52a6dc22817188d9b3d2052
SHA256: 770e8d1b724a517db838f1b01ca1261ffe5fc0c6da613f8deec0889de70804cc
SHA512: 76fa201a3e91f583044cab166f3d5bfd853fab883e168f6a381518421063cc8b2b248807944c91b8ac017d1a9c1f74baf562f3384a91ba9f335be76a04723716
Homepage: https://cran.r-project.org/package=ggnormalviolin
Description: CRAN Package 'ggnormalviolin' (A 'ggplot2' Extension to Make Normal Violin Plots)
 Uses 'ggplot2' to create normally distributed violin plots with specified
 means and standard deviations. This function can be useful in showing
 hypothetically normal distributions and confidence intervals.

Package: r-cran-ggnuplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggnuplot_0.1.0-1.ca2004.1_all.deb
Size: 607440
MD5sum: 7427a0c70a3d805a8fea8a91bf60a743
SHA1: 8bc683509ecbb2dba23a97bcc766a36af1fa35cc
SHA256: ef5075216a591dcaf5f371ac14c4f01e145cf727fee7b78205806933a310df13
SHA512: 66beffd2c2225cfeb7abb7dae3cacd46d9c20636fca3e5be4ba3d043ab81cae8f283ec1bff7c9e4e35e07105b598248d6df9ecc27183e054368b48b058a8508a
Homepage: https://cran.r-project.org/package=ggnuplot
Description: CRAN Package 'ggnuplot' (Make 'ggplot2' Look Like 'gnuplot')
 Provides a theme, a discrete color palette, and continuous scales to make
 'ggplot2' look like 'gnuplot'. This may be helpful if you use both 'ggplot2'
 and 'gnuplot' in one project.

Package: r-cran-ggoceanmaps
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4196
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-sf, r-cran-stars, r-cran-smoothr, r-cran-units
Suggests: r-cran-ggspatial, r-cran-cowplot, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-ggnewscale
Filename: pool/dists/focal/main/r-cran-ggoceanmaps_2.2.0-1.ca2004.1_all.deb
Size: 4248432
MD5sum: 1fac5a426a69cdc29a3be80b4b5a3760
SHA1: aceee9b66bcd2ddf6305d747a75933c4e147f6f7
SHA256: 70c0bc48e855e777f6485ba1e3418f2f38f0968e1a5c38f0c1c9e45c2f0771f8
SHA512: 7a6d14455a38caf03b0a57629ff1df71573d1a81ec5fc417a5fd929f96c85181a420679c4207ed0698c65a83ac5a943dcba981566adcd766a13232899bfae835
Homepage: https://cran.r-project.org/package=ggOceanMaps
Description: CRAN Package 'ggOceanMaps' (Plot Data on Oceanographic Maps using 'ggplot2')
 Allows plotting data on bathymetric maps using 'ggplot2'. Plotting
 oceanographic spatial data is made as simple as feasible, but also flexible
 for custom modifications. Data that contain geographic information from
 anywhere around the globe can be plotted on maps generated by the basemap()
 or qmap() functions using 'ggplot2' layers separated by the '+' operator.
 The package uses spatial shape- ('sf') and raster ('stars') files,
 geospatial packages for R to manipulate, and the 'ggplot2' package to plot
 these files. The package ships with low-resolution spatial data files and
 higher resolution files for detailed maps are stored in the
 'ggOceanMapsLargeData' repository on GitHub and downloaded automatically
 when needed.

Package: r-cran-ggokabeito
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2783
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-ggraph, r-cran-igraph, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggokabeito_0.1.0-1.ca2004.1_all.deb
Size: 2308168
MD5sum: c976112a0293df4980664b337717f075
SHA1: ffd4b1e611b3e9be0effa9a1629f94b0a193d0bc
SHA256: 56b177cbf46d33a034eb2cbb4a9b8e90d6a46745bd3e49157b3419e28d608a39
SHA512: d3ed7e7a9526cbd2439baa8f00519030710013d91c30d5556f474367e252b41d8db37eb22091a3e631886158c4d15cebc5dc0702d34fdebcaf4ccc3e0cd15ccd
Homepage: https://cran.r-project.org/package=ggokabeito
Description: CRAN Package 'ggokabeito' ('Okabe-Ito' Scales for 'ggplot2' and 'ggraph')
 Discrete scales for the colorblind-friendly 'Okabe-Ito' palette, including
 'color', 'fill', and 'edge_colour'. 'ggokabeito' provides 'ggplot2' and
 'ggraph' scales to easily use the 'Okabe-Ito' palette in your data
 visualizations.

Package: r-cran-ggordiplots
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-vegan, r-cran-glue
Suggests: r-cran-formatr, r-cran-permute, r-cran-lattice, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggordiplots_0.4.3-1.ca2004.1_all.deb
Size: 144676
MD5sum: dfe5e0858df3b7a557660f2aa65247c8
SHA1: 880ffbc4bde29fc40b8673372b671363f3d7b25e
SHA256: e1a7d9f5436b2d76b8d1d98fc751ba7556b1a5ffb2245e6e2354fba38c2d1411
SHA512: 4a12bc12dbd86b1c428ca5ac200c0d010ace6392be9fc6e7897747714da21a3c3555cbfc097dd0a727bfcf273adc15c384864105e7672e8c78219184a2599d11
Homepage: https://cran.r-project.org/package=ggordiplots
Description: CRAN Package 'ggordiplots' (Make 'ggplot2' Versions of Vegan's Ordiplots)
 The 'vegan' package includes several functions for adding features to
 ordination plots: ordiarrows(), ordiellipse(), ordihull(), ordispider() and
 ordisurf(). This package adds these same features to ordination plots made
 with 'ggplot2'. In addition, gg_ordibubble() sizes points relative to the
 value of an environmental variable.

Package: r-cran-ggoutlier
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 532
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastknn, r-cran-foreach, r-cran-doparallel, r-cran-scales, r-cran-rcolorbrewer, r-cran-ggforce, r-cran-rlang, r-cran-tidyr, r-cran-rnaturalearth, r-cran-sf, r-cran-ggplot2, r-cran-cowplot
Suggests: r-cran-rnaturalearthdata
Filename: pool/dists/focal/main/r-cran-ggoutlier_1.0.2-1.ca2004.1_all.deb
Size: 504888
MD5sum: 3272566726d50e1a45be02a6d93faf05
SHA1: c90841f6fe4f40d4cf04ab47386a2c54baffa281
SHA256: d268bd8d1818676c645d8d1680a7340375bc1f500ffc45c3cce321f81db8b24b
SHA512: fa3e409e2beb748f818bd0b2b3dc7bb1b4bcdfa34be682c6a1ca89cea74b62018341dba7ff503c737fb44f010bb432f4fdbb075b44e526f79457b22331832c47
Homepage: https://cran.r-project.org/package=GGoutlieR
Description: CRAN Package 'GGoutlieR' (Identify Individuals with Unusual Geo-Genetic Patterns)
 Identify and visualize individuals with unusual association patterns of
 genetics and geography using the approach of Chang and Schmid (2023)
 <doi:10.1101/2023.04.06.535838>. It detects potential outliers that violate
 the isolation-by-distance assumption using the K-nearest neighbor approach.
 You can obtain a table of outliers with statistics and visualize unusual
 geo-genetic patterns on a geographical map. This is useful for landscape
 genomics studies to discover individuals with unusual geography and genetics
 associations from a large biological sample.

Package: r-cran-ggpackets
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1017
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-backports, r-cran-knitr, r-cran-rmarkdown, r-cran-stringi, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ggpackets_0.2.1-1.ca2004.1_all.deb
Size: 732800
MD5sum: 4ee06453a2951f7f782297f985670e97
SHA1: 3fa185b253ade6debb7482314ef7d1b9349c0bbd
SHA256: 0885b3164d12903a05e2119a8bd7e1e36c07cce059cbad0d7d23acef0a8cec0d
SHA512: 3fdd029566ceab61174bec074d74943dfed200f875f630001298d4004dc312156c3b0ef74cdb6384f4a6e160d0f881a375a39a6355ac700430162f2cb53f9306
Homepage: https://cran.r-project.org/package=ggpackets
Description: CRAN Package 'ggpackets' (Package Plot Layers for Easier Portability and Modularization)
 Create groups of 'ggplot2' layers that can be easily migrated from one plot
 to another, reducing redundant code and improving the ability to format many
 plots that draw from the same source 'ggpacket' layers.

Package: r-cran-ggpacman
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-ggplot2, r-cran-ggforce, r-cran-gganimate
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ggpacman_0.1.0-1.ca2004.1_all.deb
Size: 551524
MD5sum: 9a57a7267cec13af347fb903b7ed99c3
SHA1: 26cb9226a2b579da4881ad662ed68fa719daa2a2
SHA256: 470fb59b47aec6cf4f21f42aa4e66fa73533e6784874856ac1b6cf858db80054
SHA512: f713329837a420f2de1d4425508e50db861031996e7fe4b3472690a8d32831c3285f60956866b9f44abbc6e329b9007a3923dce9758c1a0ea935f0c5c5bf07cb
Homepage: https://cran.r-project.org/package=ggpacman
Description: CRAN Package 'ggpacman' (A 'ggplot2' and 'gganimate' Version of Pac-Man)
 A funny coding challenge to reproduce the game Pac-Man using 'ggplot2' and
 'gganimate'.  It provides a pre-defined moves set for Pac-Man and the ghosts
 for the first level of the game Pac-Man as well as polygon datasets to draw
 ghosts in 'ggplot2'.

Package: r-cran-ggpage
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidytext
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggpage_0.2.3-1.ca2004.1_all.deb
Size: 292004
MD5sum: cdb82bee86cbd0182f775fee203a47e8
SHA1: 981bd60f8d156e26e5236809e28b247ef3204fde
SHA256: 9c987b00cf0c4d1f055c0bdbefa7a9ddffe16e5a83eb77bda783d289ef44d827
SHA512: 1f0aae5a1720f97661418ab85b2d1b244d0cbf3303590ecbc443f20d93db0ed061f3201bc6e27a82ffbd2a9f91b066482f49cc35076f74c5dbc156a7d276d301
Homepage: https://cran.r-project.org/package=ggpage
Description: CRAN Package 'ggpage' (Creates Page Layout Visualizations)
 Facilitates the creation of page layout visualizations in which words are
 represented as rectangles with sizes relating to the length of the words.
 Which then is divided in lines and pages for easy overview of up to quite
 large texts.

Package: r-cran-ggparallel
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3262
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-plyr
Suggests: r-cran-rcolorbrewer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggparallel_0.4.0-1.ca2004.1_all.deb
Size: 3125316
MD5sum: e72f9fd0d920bc13496001c7f4b34bb2
SHA1: 15d262c9bce6b46201981e076c91a3c9a2f78d4d
SHA256: 2acadf03470f3d537793febdcc2d64b90cdbbb0a64ffc814746d09f5b01a28e9
SHA512: 5d6220b8f6bb2d8acf54e981aba6f1ee0c1b9e3a44902cd4b324b4f27d4db52219d9afbd218eaf90109e258c3ebb4737bbf67e152b0e168e34741e9937315d8a
Homepage: https://cran.r-project.org/package=ggparallel
Description: CRAN Package 'ggparallel' (Variations of Parallel Coordinate Plots for Categorical Data)
 Create hammock plots, parallel sets, and common angle plots with 'ggplot2'.

Package: r-cran-ggparliament
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-tidyr, r-cran-magrittr, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-purrr, r-cran-ggrepel, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggparliament_2.0.0-1.ca2004.1_all.deb
Size: 1163028
MD5sum: d6c5f78c827b1e0a52409d719c99dd02
SHA1: 1330d4c60decf1292d6aa226198034a9cce824a6
SHA256: aab916c8dff674adba3bb0e22a6a13029222a589beed805f2b37dff01f02d9e7
SHA512: 6098b15378a4eb69a6b7b7c40f767d5505c3293a21e5deb604ceeebc1c7605afff613ec491bbe79a1be7ac1ba2f060dda06c9394ba939b467a768e9ceba692d3
Homepage: https://cran.r-project.org/package=ggparliament
Description: CRAN Package 'ggparliament' (Parliament Plots)
 Simple parliament plots using 'ggplot2'. Visualize election results as
 points in the architectural layout of the legislative chamber.

Package: r-cran-ggparty
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 903
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-partykit, r-cran-gtable, r-cran-checkmate, r-cran-survival, r-cran-rlang
Suggests: r-cran-testthat, r-cran-mlbench, r-cran-aer, r-cran-coin, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-mass, r-cran-th.data
Filename: pool/dists/focal/main/r-cran-ggparty_1.0.0-1.ca2004.1_all.deb
Size: 528432
MD5sum: 41ababe4dbce5f524f354425eebe8bd2
SHA1: 18e9e3a21c97319e3249ca78cc5b60b292555a18
SHA256: 32b31eaf337cfa1d721fd52365d59428858ad511143c606e3b214faa5a3de0f9
SHA512: 7cfd7ad56d255bb77926b27e782b1a60f9e9feea325edca763713b248601d9365c3d6318bf0b73139b5bce2f24a55ee8bfdad3350288ea4f5c1c67ebcc19c2ff
Homepage: https://cran.r-project.org/package=ggparty
Description: CRAN Package 'ggparty' ('ggplot' Visualizations for the 'partykit' Package)
 Extends 'ggplot2' functionality to the 'partykit' package. 'ggparty'
 provides the necessary tools to create clearly structured and highly
 customizable visualizations for tree-objects of the class 'party'.

Package: r-cran-ggpath
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2234
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cachem, r-cran-cli, r-cran-ggplot2, r-cran-magick, r-cran-memoise, r-cran-rlang
Suggests: r-cran-covr, r-cran-rsvg, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggpath_1.0.2-1.ca2004.1_all.deb
Size: 2136800
MD5sum: fb1d1d325b65a47cf2c42c46e2b43525
SHA1: 45549dbdcf9c6a9721616711613b71cbf02c1bb7
SHA256: 84b689bc8bc68e12c302e72a82ce6791d3cb7cc989da33966833afb2fa9be744
SHA512: 53856aba35368c129b30de7de111ab1f51583235fd404e897c37cc5e97718966b6607ee8ffae0e850bdcdb9f433d16009e8330a6ddd2338e3856d01fce7bfb04
Homepage: https://cran.r-project.org/package=ggpath
Description: CRAN Package 'ggpath' (Robust Image Rendering Support for 'ggplot2')
 A 'ggplot2' extension that enables robust image grobs in panels and theme
 elements.

Package: r-cran-ggpattern
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-glue, r-cran-gridpattern, r-cran-lifecycle, r-cran-rlang, r-cran-scales, r-cran-vctrs
Suggests: r-cran-ambient, r-cran-dplyr, r-cran-gganimate, r-cran-knitr, r-cran-magick, r-cran-mapproj, r-cran-maps, r-cran-png, r-cran-ragg, r-cran-readr, r-cran-rmarkdown, r-cran-sf, r-cran-svglite, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggpattern_1.1.4-1.ca2004.1_all.deb
Size: 2565336
MD5sum: ab3fbb67e9c033d26622cdfd2a9ef71d
SHA1: 30150b23dfad08d6cc4b2277a5edd3a89fd319d4
SHA256: 49ed99664cc092eadb06e4f3af82a9bda34f0df5ffc8bc6c267ac2415d32e961
SHA512: c69f41ead13ca0b0b2058e985861cd2ef44e033ab0b1025ea36ddb99f8e80e15d8823cf574354d3a3dd5ecefe32d594e602fffcf6abdc0e2c76a7a010f399ec2
Homepage: https://cran.r-project.org/package=ggpattern
Description: CRAN Package 'ggpattern' ('ggplot2' Pattern Geoms)
 Provides 'ggplot2' geoms filled with various patterns.  Includes a patterned
 version of every 'ggplot2' geom that has a region that can be filled with a
 pattern.  Provides a suite of 'ggplot2' aesthetics and scales for
 controlling pattern appearances.  Supports over a dozen builtin patterns
 (every pattern implemented by 'gridpattern') as well as allowing custom
 user-defined patterns.

Package: r-cran-ggpca
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-golem, r-cran-shiny, r-cran-rlang, r-cran-rtsne, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-umap
Suggests: r-cran-knitr, r-cran-tibble, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggpca_0.1.3-1.ca2004.1_all.deb
Size: 534432
MD5sum: 98b2bee8f4fe962d881bfdb95a97d69e
SHA1: 59aad09324a398b49649ec5de88d94f321a85b17
SHA256: 3133cb41cc2b8153d77b104dc56743facadca4bf3c27a658515379c91f85e988
SHA512: 6f99c4191129ed1ca4adf29eafb742d587630ae691e588ce3bf9b61211326ceef4b999498fd3c5a71f5201ce933a9f6d57101bd3021a6664d471aeebc93d6171
Homepage: https://cran.r-project.org/package=ggpca
Description: CRAN Package 'ggpca' (Publication-Ready PCA, t-SNE, and UMAP Plots)
 Provides tools for creating publication-ready dimensionality reduction
 plots, including Principal Component Analysis (PCA), t-Distributed
 Stochastic Neighbor Embedding (t-SNE), and Uniform Manifold Approximation
 and Projection (UMAP). This package helps visualize high-dimensional data
 with options for custom labels, density plots, and faceting, using the
 'ggplot2' framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.

Package: r-cran-ggpcp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2643
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-testthat, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-ggpcp_0.2.0-1.ca2004.1_all.deb
Size: 2574376
MD5sum: a9731096c486bf88d36486b283c97422
SHA1: 602deccc8992c658045e3d5013b35bdfc84bf84f
SHA256: 0c42aedc9471f11720f462c3c0a79ade3283dc97c6b2780a0795dd603a6494af
SHA512: d55cbf2eb7628d7dc632103db26ee948d57bdd1357590cc9709bccec8329274c98539c164bd1296f78cd56423f893401cd470c545d816c3698f78c1d060210fb
Homepage: https://cran.r-project.org/package=ggpcp
Description: CRAN Package 'ggpcp' (Parallel Coordinate Plots in the 'ggplot2' Framework)
 Modern Parallel Coordinate Plots have been introduced in the 1980s as a way
 to visualize arbitrarily many numeric variables. This Grammar of Graphics
 implementation also incorporates categorical variables into the plots in a
 principled manner.  By separating the data managing part from the visual
 rendering, we give full access to the users while keeping the number of
 parameters manageably low.

Package: r-cran-ggpedigree
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3526
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bgmisc, r-cran-kinship2, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-dplyr, r-cran-stringr, r-cran-plotly, r-cran-reshape2, r-cran-scales, r-cran-tidyr, r-cran-paletteer
Suggests: r-cran-mockery, r-cran-patchwork, r-cran-viridis, r-cran-knitr, r-cran-tidyverse, r-cran-purrr, r-cran-data.table, r-cran-discord, r-cran-openmx, r-cran-nlsylinks, r-cran-rmarkdown, r-cran-tibble, r-cran-corrplot, r-cran-readxl, r-cran-htmlwidgets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggpedigree_0.7.0-1.ca2004.1_all.deb
Size: 825416
MD5sum: 0de8732a03defa2aaaf9de6a73e110f3
SHA1: 88c4d9759bb55c0cf5186a7820bd98ff74826bcf
SHA256: 86e79b8730ce58e0df7960b65f09d372cfede9e642c238951189b877e7aba522
SHA512: 4beacf1b25639b4003d907409b14d8275b9f79cf9bfecb4daf4b5d739f678781f5447bef24d33027894f944aa903add0ca88455a11fb13557bee93308794c7f4
Homepage: https://cran.r-project.org/package=ggpedigree
Description: CRAN Package 'ggpedigree' (Visualizing Pedigrees with 'ggplot2' and 'plotly')
 Provides plotting functions for visualizing pedigrees in behavior genetics
 and kinship research. The package complements 'BGmisc' [Garrison et al.
 (2024) <doi:10.21105/joss.06203>] by rendering pedigrees using the 'ggplot2'
 framework and offers a modern alternative to the base-graphics pedigree plot
 in 'kinship2' [Sinnwell et al. (2014) <doi:10.1159/000363105>]. Features
 include support for duplicated individuals, complex mating structures,
 integration with simulated pedigrees, and layout customization.

Package: r-cran-ggperiodic
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-sticky, r-cran-tidyselect, r-cran-data.table
Suggests: r-cran-covr, r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggperiodic_1.0.3-1.ca2004.1_all.deb
Size: 334976
MD5sum: 9ac9e09ef87fcd488d1a5565617cf63b
SHA1: 9f8f878e20a2fe3c284d73ae00bedd6d75e1f7db
SHA256: 0cf82994d02b82391ee1f12ea495955a2c31d83cbcb9c67e2e090c2a2c1dc360
SHA512: 67046aedd5a2c49587f3f924fcba49c55b603d250660053ba321009b4d3bcedc765e6637a3f5d7b3c2651fa9d6694556027cc992e9e5ae41d3b3f11f6698aaf2
Homepage: https://cran.r-project.org/package=ggperiodic
Description: CRAN Package 'ggperiodic' (Easy Plotting of Periodic Data with 'ggplot2')
 Implements methods to plot periodic data in any arbitrary range on the fly.

Package: r-cran-ggpicrust2
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggh4x, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-ggprism, r-cran-patchwork, r-cran-ggplotify, r-cran-magrittr, r-cran-progress, r-cran-tidygraph, r-cran-ggraph
Suggests: r-bioc-biobase, r-bioc-keggrest, r-bioc-complexheatmap, r-bioc-biocgenerics, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-aldex2, r-bioc-deseq2, r-bioc-edger, r-cran-ggally, r-bioc-limma, r-bioc-maaslin2, r-bioc-metagenomeseq, r-cran-microbiomestat, r-bioc-summarizedexperiment, r-cran-circlize, r-bioc-lefser, r-bioc-fgsea, r-bioc-clusterprofiler, r-bioc-enrichplot, r-bioc-dose, r-bioc-pathview, r-cran-ggvenndiagram, r-cran-upsetr, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-ggpicrust2_2.1.2-1.ca2004.1_all.deb
Size: 2140848
MD5sum: 0e8de31b1d89a20d69e5a55d04343d26
SHA1: ce71492f6e43c340df2e4a1628a6a66f114d77a6
SHA256: b9d07679257b666442755cbcdad7b29b138f79fb9844cfe52636695f5071516d
SHA512: 895ccc5af5b9bd3e9cc6c0d6ff34753f2f62e65aad2e29fb13903e6fb9eaa85a5c8acb79547bcfd4ab836fb9e678812e7e85f2703a87f6463aa1869972f020bf
Homepage: https://cran.r-project.org/package=ggpicrust2
Description: CRAN Package 'ggpicrust2' (Make 'PICRUSt2' Output Analysis and Visualization Easier)
 Provides a convenient way to analyze and visualize 'PICRUSt2' output with
 pre-defined plots and functions. Allows for generating statistical plots
 about microbiome functional predictions and offers customization options.
 Features a one-click option for creating publication-level plots, saving
 time and effort in producing professional-grade figures. Streamlines the
 'PICRUSt2' analysis and visualization process. For more details, see Yang et
 al. (2023) <doi:10.1093/bioinformatics/btad470>.

Package: r-cran-ggpie
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2694
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-scales, r-cran-tibble, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-cowplot, r-cran-prettydoc, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ggpie_0.2.5-1.ca2004.1_all.deb
Size: 2048344
MD5sum: b2c9696e6d68ae7e673ed5433769e8fa
SHA1: 2225faec27294709bd91b91afe1606cb6a6d0b3a
SHA256: 72dd81f436c011e1a2be3e0e0dd4a8f6ab417e4ecc726f7748b4f3aac9bd4a2a
SHA512: 5b79a394f53419e58152804d4f6eb3b840c6992b4a8acec816365e732f2dc494d304380ea9c898f6c07b05f31169a783585918787200623c7b4fe99ca1ae1617
Homepage: https://cran.r-project.org/package=ggpie
Description: CRAN Package 'ggpie' (Pie, Donut and Rose Pie Plots)
 Create pie, donut and rose pie plot with 'ggplot2'.

Package: r-cran-ggplate
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4824
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-forcats, r-cran-farver
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggplate_0.1.5-1.ca2004.1_all.deb
Size: 4434572
MD5sum: cfe93f2acaa0a1b98a3967cda8411138
SHA1: 2937924276431951d530e2932621b6df88da71ea
SHA256: 819fd4b793b55ad8d0c4fb03de020c7601ca5b4bcc419246052603552ded29d6
SHA512: f2ba929def76ae753c88c507522354ed96b89c72254491f0c38660fa6067ac698fba67ea3d6dbc608f5e5ca776bcfc1a2ad6c7c085cfbb85acada37a38c39408
Homepage: https://cran.r-project.org/package=ggplate
Description: CRAN Package 'ggplate' (Create Layout Plots of Biological Culture Plates and Microplates)
 Enables users to create simple plots of biological culture plates as well as
 microplates. Both continuous and discrete values can be plotted onto the
 plate layout.

Package: r-cran-ggplot.multistats
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-scales, r-cran-hexbin, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggplot.multistats_1.0.1-1.ca2004.1_all.deb
Size: 32752
MD5sum: 4095e0484125d6bb29d72931b77768d7
SHA1: ffc0d146c94c7b6588055edc910541187b5b4a62
SHA256: 84809f09abc1b493230a3bc7cb601f30c376af982a0771fa6f99bbf78f55150d
SHA512: a3139b16a1d2d9eb64c99c995b225cd37d0c6e6c00b974f292ea3e0d74805a1aa0ba6be5f5fce878b3735fafff95dc5fffc6b5eafdedcc5f2aafe59b27ec2286
Homepage: https://cran.r-project.org/package=ggplot.multistats
Description: CRAN Package 'ggplot.multistats' (Multiple Summary Statistics for Binned Stats/Geometries)
 Provides the ggplot binning layer stat_summaries_hex(), which functions
 similar to its singular form, but allows the use of multiple statistics per
 bin.  Those statistics can be mapped to multiple bin aesthetics.

Package: r-cran-ggplot2.utils
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-checkmate, r-cran-envstats, r-cran-ggpp, r-cran-ggstats, r-cran-survival
Suggests: r-cran-dplyr, r-cran-lifecycle, r-cran-testthat, r-cran-tibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggplot2.utils_0.3.2-1.ca2004.1_all.deb
Size: 152740
MD5sum: b03c3666eaf1388bb43f13cd735507c8
SHA1: bd575813189ac1144b4a21b96c5f1c764fc59784
SHA256: e96c8f577160198a0552dd2df824e570b8522479a44b14d3bf309567269c9c85
SHA512: b2376033e02f388159468e82224b8b0473e22d1c4550ac553041387f1ef9896eaf6235ca6ee1c9a0da1c1a53ca50d04c40b15a54baaaa7727da98e4161328daa
Homepage: https://cran.r-project.org/package=ggplot2.utils
Description: CRAN Package 'ggplot2.utils' (Selected Utilities Extending 'ggplot2')
 Selected utilities, in particular 'geoms' and 'stats' functions, extending
 the 'ggplot2' package. This package imports functions from 'EnvStats'
 <doi:10.1007/978-1-4614-8456-1> by Millard (2013), 'ggpp'
 <https://CRAN.R-project.org/package=ggpp> by Aphalo et al. (2023) and
 'ggstats' <doi:10.5281/zenodo.10183964> by Larmarange (2023), and then
 exports them. This package also contains modified code from 'ggquickeda'
 <https://CRAN.R-project.org/package=ggquickeda> by Mouksassi et al. (2023)
 for Kaplan-Meier lines and ticks additions to plots.  All functions are
 tested to make sure that they work reliably.

Package: r-cran-ggplot2
Architecture: all
Version: 3.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6001
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-gtable, r-cran-isoband, r-cran-lifecycle, r-cran-mass, r-cran-mgcv, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2movies, r-cran-hexbin, r-cran-hmisc, r-cran-knitr, r-cran-mapproj, r-cran-maps, r-cran-multcomp, r-cran-munsell, r-cran-nlme, r-cran-profvis, r-cran-quantreg, r-cran-ragg, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rpart, r-cran-sf, r-cran-svglite, r-cran-testthat, r-cran-vdiffr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-ggplot2_3.5.2-1.ca2004.1_all.deb
Size: 4730920
MD5sum: 1f5e38902fc716cd7b9afc53a3891cb9
SHA1: b28b70dcaf0ef2cb5581613b0449b2e2841010eb
SHA256: c1e833c7ba81beaa7b38be5f6338d3ee66b81e47bdbd27b4bd323636f4d6a0b6
SHA512: d0b5404ea2146819252c9776c28e52a11905b910210eefe02175792551daf669db1b74236e9131fc73315498d8f2454375397388e3632b029548ae3cb6249568
Homepage: https://cran.r-project.org/package=ggplot2
Description: CRAN Package 'ggplot2' (Create Elegant Data Visualisations Using the Grammar of Graphics)
 A system for 'declaratively' creating graphics, based on "The Grammar of
 Graphics". You provide the data, tell 'ggplot2' how to map variables to
 aesthetics, what graphical primitives to use, and it takes care of the
 details.

Package: r-cran-ggplot2movies
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1263
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ggplot2movies_0.0.1-1.ca2004.1_all.deb
Size: 1248708
MD5sum: 6e74de07c6bd4fb5c454dc6258ea6def
SHA1: ef6e467112c3490643b5c2e84ed42521bd7dfe66
SHA256: d51317622acfc724a0e5d303a93012d529064a3c838e48633c71e8b08341f836
SHA512: 75894dd6ef095cb157c63b438090753fdcba3846deec2b91e7e15bfdc767d59303fa8b5c783464906f29fca30599a2910aae81b744507c189ec366d259a2ccfd
Homepage: https://cran.r-project.org/package=ggplot2movies
Description: CRAN Package 'ggplot2movies' (Movies Data)
 A dataset about movies. This was previously contained in ggplot2, but has
 been moved its own package to reduce the download size of ggplot2.

Package: r-cran-ggplotassist
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1418
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-shinywidgets, r-cran-shinyace, r-cran-stringr, r-cran-tidyverse, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-scales, r-cran-ggthemes, r-cran-gcookbook, r-cran-moonbook, r-cran-editdata
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ggplotassist_0.1.3-1.ca2004.1_all.deb
Size: 754916
MD5sum: 138effa3bfcebca3b4a6051b47484d8d
SHA1: 8577059428b7d029ec9a39c4edb29c0fc6a71128
SHA256: dc12b5807f03f842c5f0f9062c61fd24550c7fccef4385cf5d39bcc619c79770
SHA512: dd6cc64d374aa7e8c674bcfbfa9b1642fc7563e42cd8e01905cc8af788ffeaccdd88c187450b77f030fd37c4d4ad63ab8f176255cfc5bb62dbe488b19375b5c5
Homepage: https://cran.r-project.org/package=ggplotAssist
Description: CRAN Package 'ggplotAssist' ('RStudio' Addin for Teaching and Learning 'ggplot2')
 An 'RStudio' addin for teaching and learning making plot using the 'ggplot2'
 package.  You can learn each steps of making plot by clicking your mouse
 without coding.  You can get resultant code for the plot.

Package: r-cran-ggplotgui
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 708
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-shiny, r-cran-ggplot2, r-cran-stringr, r-cran-readr, r-cran-haven, r-cran-readxl, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-ggplotgui_1.0.0-1.ca2004.1_all.deb
Size: 627720
MD5sum: 02baeba22dd0d98a5ca8b6bf565594db
SHA1: cca1ce9c8a2025eeb58ea5117f69b97438c1cfe9
SHA256: c26397a9af1e9ee52e617c7c62f78594b23144a436c9d75c1b60f5e85c24efc8
SHA512: 8fb1dea13a52619587af90b269f5022ceaffe4a2e57876150fa175c584774490c7aca3b5e8a4828deb00f06feea4e2c97304aa2bed2d5bb9f7cd716c303c3fca
Homepage: https://cran.r-project.org/package=ggplotgui
Description: CRAN Package 'ggplotgui' (Create Ggplots via a Graphical User Interface)
 Easily explore data by creating ggplots through a (shiny-)GUI. R-code to
 recreate graph provided.

Package: r-cran-ggplotify
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridgraphics, r-cran-yulab.utils
Suggests: r-cran-aplot, r-cran-colorspace, r-cran-cowplot, r-cran-ggimage, r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-prettydoc, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-ggplotify_0.1.2-1.ca2004.1_all.deb
Size: 135880
MD5sum: 5cae01153819fd434bab7637a2b283b2
SHA1: f8ebae8a9950f7d21b52ec6e52bc3d442253b042
SHA256: 10e63e8ed1a2953461aab59a59768e0c28d12019a9907a70d339cc1852ec06e6
SHA512: 89588b290acb445a5983765b02a687a07808ffb86b6b782695c9d5ea7b5b3a95994e2e93489324eeca3e11551afe5a2eff8475a81a744a1483165b607e2b65f7
Homepage: https://cran.r-project.org/package=ggplotify
Description: CRAN Package 'ggplotify' (Convert Plot to 'grob' or 'ggplot' Object)
 Convert plot function call (using expression or formula) to 'grob' or
 'ggplot' object that compatible to the 'grid' and 'ggplot2' ecosystem. With
 this package, we are able to e.g. using 'cowplot' to align plots produced by
 'base' graphics, 'ComplexHeatmap', 'eulerr', 'grid', 'lattice', 'magick',
 'pheatmap', 'vcd' etc. by converting them to 'ggplot' objects.

Package: r-cran-ggplotlyextra
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-ggplotlyextra_0.0.1-1.ca2004.1_all.deb
Size: 13456
MD5sum: 2acf1495adaecfa446b17f0e8486d63b
SHA1: 1684d0506ac7aec2f784e2667c59af033fd92782
SHA256: 4aac6deff9df55543293a022affd204348e6e5c41ea17122c479e4cc30f2ba5e
SHA512: 6e89a10099305ef0d501e6900b13035af78228a40da73d644b737b31590808e6958544e818a8c5a551437fa1c71e8883c6f1ad276b2c16c1e3b3bd64259c788f
Homepage: https://cran.r-project.org/package=ggplotlyExtra
Description: CRAN Package 'ggplotlyExtra' (Extra Convenience Functions for 'Plotly')
 Convenience functions for smooth conversion from 'ggplot' to 'plotly' where
 the conversion using ggplotly() usually gives an unexpected labels. The
 package ease the process of making a 'plotly' figures generated from
 'ggplot2' object more aesthetic in terms of labels and customizability.

Package: r-cran-ggpmisc
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2217
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggpp, r-cran-ggplot2, r-cran-scales, r-cran-rlang, r-cran-generics, r-cran-mass, r-cran-confintr, r-cran-polynom, r-cran-quantreg, r-cran-lmodel2, r-cran-splus2r, r-cran-multcomp, r-cran-multcompview, r-cran-tibble, r-cran-plyr, r-cran-dplyr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggrepel, r-cran-broom, r-cran-broom.mixed, r-cran-nlme, r-cran-gginnards, r-cran-ggtext, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggpmisc_0.6.1-1.ca2004.1_all.deb
Size: 1513072
MD5sum: cfef40d98dfc9078aa9d35ea180c8435
SHA1: 5dd40c6c5e89ea7d3dcddae6dcd9753a5ed26abe
SHA256: d0aae76505e332a4b952ce2b1b3a0530ced6586ae00b53c758d5bb1f64272c08
SHA512: 7421b3435bc9a7147dacf6c568ec1de314da1b2b48b555f8ad9499f6945dc928ad403c7156177c9704c965769b0d28f35be91707e47d97ecd4747f3174e3971c
Homepage: https://cran.r-project.org/package=ggpmisc
Description: CRAN Package 'ggpmisc' (Miscellaneous Extensions to 'ggplot2')
 Extensions to 'ggplot2' respecting the grammar of graphics paradigm.
 Statistics: locate and tag peaks and valleys; label plot with the equation
 of a fitted polynomial or other types of models; labels with P-value, R^2 or
 adjusted R^2 or information criteria for fitted models; label with ANOVA
 table for fitted models; label with summary for fitted models. Model fit
 classes for which suitable methods are provided by package 'broom' and
 'broom.mixed' are supported. Scales and stats to build volcano and quadrant
 plots based on outcomes, fold changes, p-values and false discovery rates.

Package: r-cran-ggpmx
Architecture: all
Version: 1.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8851
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-yaml, r-cran-r6, r-cran-gtable, r-cran-ggplot2, r-cran-ggforce, r-cran-magrittr, r-cran-stringr, r-cran-assertthat, r-cran-ggally, r-cran-zoo, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-checkmate, r-cran-scales
Suggests: r-cran-testthat, r-cran-xtable, r-cran-vdiffr, r-cran-rxode2, r-cran-nlmixr2, r-cran-nlmixr2data, r-cran-xgxr, r-cran-withr, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-ggpmx_1.2.11-1.ca2004.1_all.deb
Size: 4108456
MD5sum: 84a82b9c0990db5a42ba0d6dde04efa7
SHA1: 645b157d091551b68dbb84ba59cb66f69b02b044
SHA256: 1b2fc1a5e8ffcfb48c98e3f5799b4179ae4015f0a0dc4cba36bd16b1f301b922
SHA512: 0b5adb0471f233f4498adcd40a68e2e0442119d22bb3ba595b8307442dec8cd81a11a6780e7d31fe77751d363456ce9f31b6d3f3f33dc4290dec55670fe4a371
Homepage: https://cran.r-project.org/package=ggPMX
Description: CRAN Package 'ggPMX' ('ggplot2' Based Tool to Facilitate Diagnostic Plots for NLMEModels)
 At Novartis, we aimed at standardizing the set of diagnostic plots used for
 modeling activities in order to reduce the overall effort required for
 generating such plots.  For this, we developed a guidance that proposes an
 adequate set of diagnostics and a toolbox, called 'ggPMX' to execute them.
 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality
 sufficient for publication and submissions using few lines of code. This
 package focuses on plots recommended by ISoP <doi:10.1002/psp4.12161>. While
 not required, you can get/install the 'R' 'lixoftConnectors' package in the
 'Monolix' installation, as described at the following url
 <https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
 When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to
 create the required Chart Data instead of exporting it from the 'Monolix'
 gui.

Package: r-cran-ggpointless
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1619
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-ragg, r-cran-scales, r-cran-ggtext, r-cran-ggrepel, r-cran-vdiffr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ggpointless_0.1.0-1.ca2004.1_all.deb
Size: 1165016
MD5sum: f1da35748c2c4ae0c9e89592a32f6687
SHA1: e5a3fd29b2252b1546ced1967d2c7a6966cfc4db
SHA256: d252d65984ac2b7dba1381dade255d45141e26dc1f8e868a5b9b259acc2fdb87
SHA512: 4f836a38e5a2f8a206241df8b1e918d945eab70eaaaaf2f787a47fb2ac2e98438687f45bcf3f79decb1ff97fd727dabd0e3f38ffd0b931d9632568551d6ef38c
Homepage: https://cran.r-project.org/package=ggpointless
Description: CRAN Package 'ggpointless' (Additional Geometries and Stats for 'ggplot2')
 An (aspirational) collection of additional geometries and statistics for
 'ggplot2'.

Package: r-cran-ggpol
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-plyr, r-cran-rlang, r-cran-dplyr, r-cran-tibble, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggpol_0.0.7-1.ca2004.1_all.deb
Size: 294136
MD5sum: 03d357afc650b2d5eaa060ea177b098d
SHA1: 1714e0215e1683556064228eb371da8aef481b2c
SHA256: 478e0d2699411a7ccd8631ce38cf6b4944b4f23bb39b8cebe73b576839d22b05
SHA512: 90b7b35d40572ac3be5e3e9a294c58ef58dec77c12eee8b57779541b30bbf9e53e2c84fc4ab7e17585ea6bc39198f58602dc2783c0f0a19e54461fcc0ec5764a
Homepage: https://cran.r-project.org/package=ggpol
Description: CRAN Package 'ggpol' (Visualizing Social Science Data with 'ggplot2')
 A 'ggplot2' extension for implementing parliament charts and several other
 useful visualizations.

Package: r-cran-ggpolar
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-ezcox, r-cran-ggnewscale, r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-cli
Filename: pool/dists/focal/main/r-cran-ggpolar_0.2.2-1.ca2004.1_all.deb
Size: 69608
MD5sum: ee2976db53826563e83795835f5f2236
SHA1: 82578c3b6cd1e94fe2e4c4359561f80f0c350060
SHA256: da32854441bfccbd3b3f20e6a31a6d9a6d3736d3702d741b2604632f294dc98d
SHA512: 7ed596be6adcad5eac7d771a2f987eac6a30142b9b1e0b7cd70829a5675355d94fb1836de6616b564a052a40e7afffc69ef0e78e0eb358b6d2f1b2c3ba9fcf92
Homepage: https://cran.r-project.org/package=ggpolar
Description: CRAN Package 'ggpolar' (Dots and Their Connections in Polar Coordinate System)
 Provides basic graphing functions to fully demonstrate point-to-point
 connections in a polar coordinate space.

Package: r-cran-ggpolypath
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ggpolypath_0.3.0-1.ca2004.1_all.deb
Size: 268184
MD5sum: 91cc6b535910691aa829b131c5981651
SHA1: d1070c7dee89a2dacc92ec705b71d93a2bc407ec
SHA256: 38ed9f8dc1dceb87e307744cc8d7cec05da4449644903497b46ec0f51720b2bb
SHA512: be847d934300808876a26a575c3f9c58007ada30fab8cd90e348037e60ce269170770c0be7ef837f2af59d4ecb7fe4696de3ad4da488a77bcf257e8e6a07daaa
Homepage: https://cran.r-project.org/package=ggpolypath
Description: CRAN Package 'ggpolypath' (Polygons with Holes for the Grammar of Graphics)
 Tools for working with polygons with holes in 'ggplot2', with a new 'geom'
 for drawing a 'polypath' applying the 'evenodd' or 'winding' rules.

Package: r-cran-ggpp
Architecture: all
Version: 0.5.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2818
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-vctrs, r-cran-magrittr, r-cran-glue, r-cran-gridextra, r-cran-scales, r-cran-tibble, r-cran-dplyr, r-cran-xts, r-cran-zoo, r-cran-mass, r-cran-polynom, r-cran-lubridate, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggrepel, r-cran-gginnards, r-cran-magick, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggpp_0.5.9-1.ca2004.1_all.deb
Size: 1867800
MD5sum: c131145077bfced384435af085b0dce6
SHA1: a28f4a2352d1725b384b57a31b0fb36f00d3507c
SHA256: 67ed681656aba5a6dfafe209d2b750637518f6fc49427bc78727daab97a57149
SHA512: ca5c7bbc40514dca4e597a9c696e95bf16104ea83d55e752b84f316f46497377ae455c206e6c7405599b3f5bdc557f8c60d4044d0e9af883427fd555cab2aa1f
Homepage: https://cran.r-project.org/package=ggpp
Description: CRAN Package 'ggpp' (Grammar Extensions to 'ggplot2')
 Extensions to 'ggplot2' respecting the grammar of graphics paradigm.
 Geometries: geom_table(), geom_plot() and geom_grob() add insets to plots
 using native data coordinates, while geom_table_npc(), geom_plot_npc() and
 geom_grob_npc() do the same using "npc" coordinates through new aesthetics
 "npcx" and "npcy". Statistics: select observations based on 2D density.
 Positions: radial nudging away from a center point and nudging away from a
 line or curve; combined stacking and nudging; combined dodging and nudging.

Package: r-cran-ggprism
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4055
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-digest, r-cran-ggplot2, r-cran-glue, r-cran-gtable, r-cran-rlang, r-cran-scales, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggbeeswarm, r-cran-ggnewscale, r-cran-knitr, r-cran-magrittr, r-cran-patchwork, r-cran-rmarkdown, r-cran-rstatix, r-cran-tidyr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-ggprism_1.0.6-1.ca2004.1_all.deb
Size: 2711772
MD5sum: 1b7b28c860506849d4f6b2663291fa30
SHA1: 6637ad0fcff607256ebb9cc7fa168de4fef51d21
SHA256: 9fbd51eaf0011d2e04252a8599bf4044e5185351946a6660ab603bea30eb7c21
SHA512: 7d541e4bf382d5c7ecd91659b71d37aa7f9e007d3b38992240629c3e1cf6655deb3b78b2756bb0d4a5d5b630d9227e64362b0adeffcd26afecb2db12e108021d
Homepage: https://cran.r-project.org/package=ggprism
Description: CRAN Package 'ggprism' (A 'ggplot2' Extension Inspired by 'GraphPad Prism')
 Provides various themes, palettes, and other functions that are used to
 customise ggplots to look like they were made in 'GraphPad Prism'. The
 'Prism'-look is achieved with theme_prism() and scale_fill|colour_prism(),
 axes can be changed with custom guides like guide_prism_minor(), and
 significance indicators added with add_pvalue().

Package: r-cran-ggpubr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2165
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggsci, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-cowplot, r-cran-ggsignif, r-cran-scales, r-cran-gridextra, r-cran-glue, r-cran-polynom, r-cran-rlang, r-cran-rstatix, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-gtable, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggpubr_0.6.1-1.ca2004.1_all.deb
Size: 2115548
MD5sum: f84dc5022ebf57c56c21c05aa8757d2f
SHA1: 444e3eab9a860d613d287e9db2852e5490de740b
SHA256: f81f75db17bd8e71f2354b9b75ed8f071be0abc7c53dc11023070b24ce9e16a3
SHA512: 6cfa540920ca1902550bb9497a76bf3e2d3d91dfb70e2d8e72d5f95a99e217252a1b66d9bf2c8b7de8a4be142f164fb37cd524ecaf2a722aea0f34d33854e11d
Homepage: https://cran.r-project.org/package=ggpubr
Description: CRAN Package 'ggpubr' ('ggplot2' Based Publication Ready Plots)
 The 'ggplot2' package is excellent and flexible for elegant data
 visualization in R. However the default generated plots requires some
 formatting before we can send them for publication. Furthermore, to
 customize a 'ggplot', the syntax is opaque and this raises the level of
 difficulty for researchers with no advanced R programming skills. 'ggpubr'
 provides some easy-to-use functions for creating and customizing 'ggplot2'-
 based publication ready plots.

Package: r-cran-ggpval
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1466
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggpval_0.2.5-1.ca2004.1_all.deb
Size: 1102044
MD5sum: c925184fe6e8bd09023f105befa8079c
SHA1: 618eb308335f23a9b87bb7ac12422884c1eedc73
SHA256: 39fdc88e3f444c207baf369a806535ee5e0668c8c10b7073f860f1629f67d153
SHA512: 7e68db1f90b8dc2f7b75948ee4eb14af4acf26a3ff7c28a6467520df5189de4e6984a186417de6d20ed4e1fa8a4beedfc14a0cda5e8ce0fb7dd9f5ca7ff24c9d
Homepage: https://cran.r-project.org/package=ggpval
Description: CRAN Package 'ggpval' (Annotate Statistical Tests for 'ggplot2')
 Automatically performs desired statistical tests (e.g. wilcox.test(),
 t.test()) to compare between groups, and adds the resulting p-values to the
 plot with an annotation bar.  Visualizing group differences are frequently
 performed by boxplots, bar plots, etc.  Statistical test results are often
 needed to be annotated on these plots.  This package provides a convenient
 function that works on 'ggplot2' objects, performs the desired statistical
 test between groups of interest and annotates the test results on the plot.

Package: r-cran-ggqc
Architecture: all
Version: 0.0.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-ggqc_0.0.31-1.ca2004.1_all.deb
Size: 438592
MD5sum: 380a44b0fbe409e018975c276d653129
SHA1: 9d8f2ee893de898b9ebf34f8bf9f8c258f67152b
SHA256: 69b69110051bed45c9768848f7f4ca0bbe412d79564db1857fb68a2bdba8298a
SHA512: 56e19ae65347ef41c089555473ecdfed78ca753a817575a6cb7c901242bb80e16f9d7374a6e40085ee671ddf90cddb242b4e1b1dd2354b422b4dac91f713d647
Homepage: https://cran.r-project.org/package=ggQC
Description: CRAN Package 'ggQC' (Quality Control Charts for 'ggplot')
 Plot single and faceted type quality control charts for 'ggplot'.

Package: r-cran-ggqqunif
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ggqqunif_0.1.5-1.ca2004.1_all.deb
Size: 87440
MD5sum: 58a007d6b0ec09c5f190213f225e3e8b
SHA1: 6e332e30bb1e5d40b50383d505bba4ab29873944
SHA256: ab8491e7a38245dbfdedc1e2b6497f07cc252bbb0368b49b2ae9534f6b463dc9
SHA512: 34403e007ff85114e8407fed867248abe47cac5375798e4f884d0b86310ff4a28ef2fcc1573244029782939452db75275feb811879d8adf71f35d37400e35140
Homepage: https://cran.r-project.org/package=ggQQunif
Description: CRAN Package 'ggQQunif' (Compare Big Datasets to the Uniform Distribution)
 A quantile-quantile plot can be used to compare a sample of p-values to the
 uniform distribution.  But when the dataset is big (i.e. > 1e4 p-values),
 plotting the quantile-quantile plot can be slow.  geom_QQ uses all the data
 to calculate the quantiles, but thins it out in a way that focuses on points
 near zero before plotting to speed up plotting and decrease file size, when
 vector graphics are stored.

Package: r-cran-ggquickeda
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4710
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colourpicker, r-cran-dplyr, r-cran-data.table, r-cran-dt, r-cran-formula, r-cran-ggally, r-cran-ggbeeswarm, r-cran-ggh4x, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggrepel, r-cran-ggpubr, r-cran-ggstance, r-cran-glue, r-cran-gridextra, r-cran-hmisc, r-cran-markdown, r-cran-plotly, r-cran-quantreg, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinyjqui, r-cran-stringr, r-cran-survival, r-cran-survminer, r-cran-tidyr, r-cran-table1, r-cran-zoo, r-cran-shinyfiles, r-cran-rpostgres, r-cran-forcats, r-cran-ggridges, r-cran-rms, r-cran-tibble, r-cran-patchwork
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggquickeda_0.3.1-1.ca2004.1_all.deb
Size: 2808388
MD5sum: a4c521ef2deed0ca4305a8ed3c351360
SHA1: 3d19b3943af478f77ea53ce455550666a65c49d1
SHA256: fa79cc11ebe9129f7ad5533edff2dbe28f617194d0bdb704f2448f13bfa9ab89
SHA512: 0e87fbf2d5ee0d338ad1eb43d36a072048b66893a4fe6b712185321847c44a979d5d08cbace29ebf129145b4fac88a8fe5fcd97daa532cf0371bf5e562a0faf8
Homepage: https://cran.r-project.org/package=ggquickeda
Description: CRAN Package 'ggquickeda' (Quickly Explore Your Data Using 'ggplot2' and 'table1' SummaryTables)
 Quickly and easily perform exploratory data analysis by uploading your data
 as a 'csv' file. Start generating insights using 'ggplot2' plots and
 'table1' tables with descriptive stats, all using an easy-to-use point and
 click 'Shiny' interface.

Package: r-cran-ggquiver
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-dplyr, r-cran-maps, r-cran-sf, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggquiver_0.3.3-1.ca2004.1_all.deb
Size: 572872
MD5sum: dd3ac25d5fac5e4bc819f93785e73378
SHA1: 7b647b57c747a273f660d92bd646ab2fdacd80e0
SHA256: 640b828fc349e83e6c9f27946cc6f3467076d09b0bd902374c4d40cbca7fcf4c
SHA512: 379f3daca861226fba3e98ded3434e8a6eb395c383017f3c6111ed743627cc146d4628ab17c66689c0aa9d80c885f6211f6ddd2500e042fa815d2370a183dfe6
Homepage: https://cran.r-project.org/package=ggquiver
Description: CRAN Package 'ggquiver' (Quiver Plots for 'ggplot2')
 An extension of 'ggplot2' to provide quiver plots to visualise vector
 fields.  This functionality is implemented using a geom to produce a new
 graphical layer, which allows aesthetic options. This layer can be overlaid
 on a map to improve visualisation of mapped data.

Package: r-cran-ggragged
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-covr, r-cran-knitr, r-cran-nlme, r-cran-ragg, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggragged_0.2.0-1.ca2004.1_all.deb
Size: 225912
MD5sum: f99941b03263550d57bc0daaaecdaef1
SHA1: 5d677cd9ad99ce5f7bc18a9533a359967d64740f
SHA256: 65a576744d6275a1ca48c7d87e49edfccf5e69abf4738c46c452a0fd18474ca4
SHA512: c8673396d5cdb06fcc2b05897fde504b29ee3bd9fe6c8a22c477803223e94700c286600d47410a145511b49fd7d959ae20a5ec24263d906650ba421c8d85a822
Homepage: https://cran.r-project.org/package=ggragged
Description: CRAN Package 'ggragged' (Ragged Grids for 'ggplot2')
 Extend 'ggplot2' facets to panel layouts arranged in a grid with ragged
 edges. facet_ragged_rows() groups panels into rows that can vary in length,
 facet_ragged_cols() does the same but for columns.  These can be useful, for
 example, to represent nested or partially crossed relationships between
 faceting variables.

Package: r-cran-ggrain
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2604
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gghalves, r-cran-ggpp, r-cran-rlang, r-cran-vctrs, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggrain_0.0.4-1.ca2004.1_all.deb
Size: 2254812
MD5sum: f33bc1b7c2be6618907782af47d261d5
SHA1: 59c6dc09b34e48e97daf7b777ddac8e1233915f1
SHA256: 342d71c0171cf157f7534f5c872ad9a6293465ed42d2ea05bb40abf63ec4010c
SHA512: ecc14da14e134d4b237b8c5bb12832e4d291a06a035cfaf736d5872e5001c829835a77dc4df6887931d4db04e5a44d82ab372c7f31c4411cbc9bd3c774f82ba1
Homepage: https://cran.r-project.org/package=ggrain
Description: CRAN Package 'ggrain' (A Rainclouds Geom for 'ggplot2')
 The 'geom_rain()' function adds different geoms together using 'ggplot2' to
 create raincloud plots.

Package: r-cran-ggrandomforests
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2095
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-randomforestsrc, r-cran-randomforest, r-cran-survival, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-rmdformats, r-cran-bookdown, r-cran-rcolorbrewer, r-cran-mass, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-plot3d, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-ggrandomforests_2.2.1-1.ca2004.1_all.deb
Size: 1489356
MD5sum: 23e33ebccddb6dcb3c146ca59e4d22c0
SHA1: d204463c4fff5b19a1a43233f64056ffef3948e7
SHA256: 92aa3176052a7746d0f2e66c0daa910603f2e7aa212a4d636182ad141e4b1401
SHA512: ce1f334ef66c433415fe3fa5cb8bc1c8bfaaa9b51352007c3bf4d3d5ed83d3d72da584b067b5b299f1d5847e3a72931bab8e5645fffa1dbb5622693230f6bd72
Homepage: https://cran.r-project.org/package=ggRandomForests
Description: CRAN Package 'ggRandomForests' (Visually Exploring Random Forests)
 Graphic elements for exploring Random Forests using the 'randomForest' or
 'randomForestSRC' package for survival, regression and classification
 forests and 'ggplot2' package plotting.

Package: r-cran-ggraptr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-pacman, r-cran-shiny
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ggraptr_1.3-1.ca2004.1_all.deb
Size: 2633800
MD5sum: 7e10717da7dd85b06cf92c29797abaf3
SHA1: ad540c33609822e11f7c9e5888dbb9c72aacee19
SHA256: 16b0a6ad81e31574bf788ca760893f4ad369a08add0234237764126529d1ada7
SHA512: 778f71e86ef0fbcb347ccc03a71351719b527c8ca1b968a08b657f230b38dcbcadf6035bd0644f1c25320252c78296e5d68af514ac2e5866f36183b9953671dd
Homepage: https://cran.r-project.org/package=ggraptR
Description: CRAN Package 'ggraptR' (Allows Interactive Visualization of Data Through a Web BrowserGUI)
 Intended for both technical and non-technical users to create interactive
 data visualizations through a web browser GUI without writing any code.

Package: r-cran-ggrasp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9555
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mixtools, r-cran-ape, r-cran-bgmm, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-ggrasp_1.2-1.ca2004.1_all.deb
Size: 817600
MD5sum: c373ff344c20732f5db323d99e18f86d
SHA1: 34dbbae2bb0668c9b7e97b1609a50143beca6ef3
SHA256: b9cbac235abc0e95e228e0a86fe1a57d20d7dba813f788cadd952661d859dd08
SHA512: bd398cefead86a82bd65ce4fecc4f9e8df7d4d6459fdc274c654147a9aba40f933de57af6467ab1b412a9438c979c1bea864eb8972a80d7eaa4e2ed017e43b02
Homepage: https://cran.r-project.org/package=ggrasp
Description: CRAN Package 'ggrasp' (Gaussian-Based Genome Representative Selector withPrioritization)
 Given a group of genomes and their relationship with each other, the package
 clusters the genomes and selects the most representative members of each
 cluster. Additional data can be provided to the prioritize certain genomes.
 The results can be printed out as a list or a new phylogeny with graphs of
 the trees and distance distributions also available. For detailed
 introduction see: Thomas H Clarke, Lauren M Brinkac, Granger Sutton, and
 Derrick E Fouts (2018), GGRaSP: a R-package for selecting representative
 genomes using Gaussian mixture models, Bioinformatics, bty300,
 <doi:10.1093/bioinformatics/bty300>.

Package: r-cran-ggrastr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3546
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-cairo, r-cran-ggbeeswarm, r-cran-png, r-cran-ragg
Suggests: r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-ggrastr_1.0.2-1.ca2004.1_all.deb
Size: 2586804
MD5sum: 7908e773fc7a76d0e4b8df20c9248c8f
SHA1: 9945682338ea5d0cfa38e8ff7c4b06a956d5afc9
SHA256: 327456c03aaeb64a235081321e8685b6e57637faae4930998be0bbb5c109350f
SHA512: e1af64c728bbae16f6ef24b04e11a1174efadde89f3243078af2ef2150445b750e6a6afe8f9b845aee718ba9a64189ba96b2e00c5d92751b69447c8017ae195f
Homepage: https://cran.r-project.org/package=ggrastr
Description: CRAN Package 'ggrastr' (Rasterize Layers for 'ggplot2')
 Rasterize only specific layers of a 'ggplot2' plot while simultaneously
 keeping all labels and text in vector format. This allows users to keep
 plots within the reasonable size limit without loosing vector properties of
 the scale-sensitive information.

Package: r-cran-ggrcs
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-ggplot2, r-cran-scales, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggrcs_0.4.3-1.ca2004.1_all.deb
Size: 195888
MD5sum: 205017c8ecd0d6522e3d4c3ccb0a6d93
SHA1: 9d3b6ba928db0596fdc1b34118ab5d2347e3af3d
SHA256: 63b20f451eb406a94421572d5acfe33a2455a54a9deeba97c4909000f19e1b30
SHA512: 5196e018d96d06f6437995cdd1119a51ac4d481c6769bc23e2afcb15fead57be015cb1cbcda41f6f4b93264fa7cbbbb39a63501022b67566b20fdd1068ccb6c9
Homepage: https://cran.r-project.org/package=ggrcs
Description: CRAN Package 'ggrcs' (Draw Histograms and Restricted Cubic Splines (RCS))
 You can use this function to easily draw a combined histogram and restricted
 cubic spline.  The function draws the graph through 'ggplot2'. RCS fitting
 requires the use of the rcs() function of the 'rms' package.  Can fit cox
 regression, logistic regression. This method was described by Per Kragh
 (2003) <doi:10.1002/sim.1497>.

Package: r-cran-ggredist
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 702
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-sf, r-cran-geos, r-cran-redist
Filename: pool/dists/focal/main/r-cran-ggredist_0.0.2-1.ca2004.1_all.deb
Size: 660184
MD5sum: 7245ddc162da3dc572083c8319868807
SHA1: cc0bab517128298a187bfacaafc49ea511150d5d
SHA256: 0d12a3de90282816c152e32ec06bfdc57412e69a7269e5bd0498762cb66d6c1e
SHA512: 9a644be9d098eb8b728e126bc95e5b4044d4f08c8bfcb70c0c255c734ce7bf1aef3b3c94952c666af041e8c8ae74ac61b5b465dab511d0898fe211339adee1bd
Homepage: https://cran.r-project.org/package=ggredist
Description: CRAN Package 'ggredist' (Scales, Geometries, and Extensions of 'ggplot2' for ElectionMapping)
 Provides 'ggplot2' extensions for political map making. Implements new
 geometries for groups of simple feature geometries. Adds palettes and scales
 for red to blue color mapping and for discrete maps. Implements tools for
 easy label generation and placement, automatic map coloring, and themes.

Package: r-cran-ggresidpanel
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3939
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-ggplot2, r-cran-mass, r-cran-plotly, r-cran-qqplotr, r-cran-stringr
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-nlme, r-cran-randomforest, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-vdiffr, r-cran-wesanderson
Filename: pool/dists/focal/main/r-cran-ggresidpanel_0.3.0-1.ca2004.1_all.deb
Size: 1281156
MD5sum: 4d93d110f0b782e2b36546d87beda7fd
SHA1: 06da6c76a8f073b5fd226e8627c445315758ba52
SHA256: f833b2dc33e8da1acd5d39b1d5cb27b756ab288cecc0a6dded64b9d948b9249a
SHA512: f8d8274c9caf080122318325ef8c94fe463895e947410ad42d15318a53a9858dd1a9fd7edec368a61f44d56dc51ed6f2ff5da9ca0fb162b304430832651f1ecd
Homepage: https://cran.r-project.org/package=ggResidpanel
Description: CRAN Package 'ggResidpanel' (Panels and Interactive Versions of Diagnostic Plots using'ggplot2')
 An R package for creating panels of diagnostic plots for residuals from a
 model using ggplot2 and plotly to analyze residuals and model assumptions
 from a variety of viewpoints. It also allows for the creation of interactive
 diagnostic plots.

Package: r-cran-ggreveal
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-ggplotify, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-withr, r-cran-vdiffr, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-ggreveal_0.1.4-1.ca2004.1_all.deb
Size: 130288
MD5sum: f48e63b7b12bd938295299c0509b70e6
SHA1: 8cd0e14480ad51bd854f97f8ab008b6974bd1940
SHA256: 1a18e600e6565465990760540717a525eb66367160ca2c144ad58bbfcf0a76e1
SHA512: 13422ce0ac113edf1fcbf3da973eeba650e2239425ca4cc6474ae78ff44750816f778d75ba1e8b9c2bfc01c4130d9e8818c27df4bc149baa9eef6766acfcdf9d
Homepage: https://cran.r-project.org/package=ggreveal
Description: CRAN Package 'ggreveal' (Reveal a 'ggplot' Incrementally)
 Provides functions that make it easy to reveal 'ggplot2' graphs
 incrementally. The functions take a plot produced with 'ggplot2' and return
 a list of plots showing data incrementally by panels, layers, groups, the
 values in an axis or any arbitrary aesthetic.

Package: r-cran-ggridge
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-grbase, r-cran-cvglasso, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ggridge_1.1.0-1.ca2004.1_all.deb
Size: 50968
MD5sum: 8fc6fb64828594c0fa8080458dca56df
SHA1: 632306dc1115a2185d6046a51ed3188e7b9261fa
SHA256: b893b4ea24da4186674f60b5d82643b93ff7f2c40a308a497300e663cc464f0d
SHA512: c50761374281184e2aae42db2649598b9fe52e9f7d7e0c0958aa0341d301e81f030c11b8a29e6b9ea79049fb404cf6f055ecd4ab65445eaa1a7257937a211c01
Homepage: https://cran.r-project.org/package=GGRidge
Description: CRAN Package 'GGRidge' (Graphical Group Ridge)
 The Graphical Group Ridge 'GGRidge' package package classifies ridge
 regression predictors in disjoint groups of conditionally correlated
 variables and derives different penalties (shrinkage parameters) for these
 groups of predictors. It combines the ridge regression method with the
 graphical model for high-dimensional data (i.e. the number of predictors
 exceeds the number of cases) or ill-conditioned data (e.g. in the presence
 of multicollinearity among predictors). The package reduces the mean square
 errors and the extent of over-shrinking of predictors as compared to the
 ridge method.Aldahmani, S. and Zoubeidi, T. (2020)
 <DOI:10.1080/00949655.2020.1803320>.

Package: r-cran-ggridges
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3016
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-withr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-patchwork, r-cran-ggplot2movies, r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggridges_0.5.6-1.ca2004.1_all.deb
Size: 2147868
MD5sum: ba12ad756d1ec9faafae4a9dfcf1370a
SHA1: a42b214390f34cea1f5a5b6db18c548f07ef1825
SHA256: a3d6ee11c0d83b40554dde288e9bbb61582c998d17e91b2b464ccecc9cfd3b78
SHA512: 48cfff1206774c10aecc9d64188c2e7fc7e8e63f398676d30d9248fad3446f6c8427bd03954a424d1408cf3a619f2227836f9130ab1c2a0897a62ad06991167f
Homepage: https://cran.r-project.org/package=ggridges
Description: CRAN Package 'ggridges' (Ridgeline Plots in 'ggplot2')
 Ridgeline plots provide a convenient way of visualizing changes in
 distributions over time or space. This package enables the creation of such
 plots in 'ggplot2'.

Package: r-cran-ggrisk
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-egg, r-cran-do, r-cran-set, r-cran-cutoff, r-cran-rms, r-cran-nomogramformula, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-ggrisk_1.3-1.ca2004.1_all.deb
Size: 59504
MD5sum: 5768ad104aa9b20c15d2d33f16d275da
SHA1: 721f95db287397d0bbd65bde9b68b5607dda572d
SHA256: c141491ee6c27c6f64e9aecbb253485b4a7c1872c8f92ee84b278a65926d890c
SHA512: 4a354d164eb53e9bd8df932035242c37755aca897b3f789ae9ed41265dcc68fdeb90cf5cad5bd7592dbc499d573d38da453441ed37aabc9a51d06dc6952dd4f4
Homepage: https://cran.r-project.org/package=ggrisk
Description: CRAN Package 'ggrisk' (Risk Score Plot for Cox Regression)
 The risk plot may be one of the most commonly used figures in tumor genetic
 data analysis. We can conclude the following two points: Comparing the
 prediction results of the model with the real survival situation to see
 whether the survival rate of the high-risk group is lower than that of the
 low-level group, and whether the survival time of the high-risk group is
 shorter than that of the low-risk group. The other is to compare the heat
 map and scatter plot to see the correlation between the predictors and the
 outcome.

Package: r-cran-ggroc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggroc_1.0-1.ca2004.1_all.deb
Size: 16768
MD5sum: 6f77846b3dab1a0114ee10df60ee69df
SHA1: 97694864e062510eae79997a4f3a3027d0708527
SHA256: e5592a7d2a2960cab3959a8da7daa511e770d7b0cbc12b352b22600d34fce874
SHA512: 6f9909f95d792871f2fe8c9bfc796cd48e310897e6adf5724fb998f8c7515dca8ddfeebf79223698b6c8179fe7b179ca8820fd6f234d28e4dfa831e95933d168
Homepage: https://cran.r-project.org/package=ggROC
Description: CRAN Package 'ggROC' (package for roc curve plot with ggplot2)
 package for roc curve plot with ggplot2

Package: r-cran-ggrounded
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gridgeometry
Suggests: r-cran-covr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggrounded_0.0.3-1.ca2004.1_all.deb
Size: 52484
MD5sum: 1f9d04ae81e0fc6737f2bd21a98bdf6d
SHA1: 9f8d709f00ba4c11d5d86faaf96f77bb6478f938
SHA256: 598a6e4c5e7912b9bd2330004c20372bb4d7d99d3d47ed27808e3a41466030aa
SHA512: 020bd6cd055ba31ec0c19b34d8582fb04337172a82c05dc96167b09bd123a9a28062709474dd7ee3d3e10cb27cc5591a443e55e43cadd4086d8fbc08dcb949c0
Homepage: https://cran.r-project.org/package=ggrounded
Description: CRAN Package 'ggrounded' (Rounded Bar Plots)
 Creates bar plots with rounded corners using 'ggplot2'.  The code in this
 package was adapted from a solution provided by Stack Overflow user 'sthoch'
 in the following post
 <https://stackoverflow.com/questions/62176038/r-ggplot2-bar-chart-with-round-corners-on-top-of-bar>.

Package: r-cran-ggroups
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-ggroups_2.1.2-1.ca2004.1_all.deb
Size: 101804
MD5sum: 86bc1357e24e21473f8710c3362b609b
SHA1: 3621d74d66f0517ff80d1b9a727c595d731203f8
SHA256: 4e237e91facf059b98791393e78aec2542db49ad2e5eaf3edbcfd82b64688506
SHA512: b6872fa451442760427589cf72a17e14843fdaafea1e4ca874f090fa65044a0f9760394089146ab7ddfd97b1cb221f32e1ed6fa33640dd79b0a2cd031115bbdd
Homepage: https://cran.r-project.org/package=ggroups
Description: CRAN Package 'ggroups' (Pedigree and Genetic Groups)
 Calculates additive and dominance genetic relationship matrices and their
 inverses, in matrix and tabular-sparse formats. It includes functions for
 checking and processing pedigree, calculating inbreeding coefficients
 (Meuwissen & Luo, 1992 <doi:10.1186/1297-9686-24-4-305>), as well as
 functions to calculate the matrix of genetic group contributions (Q), and
 adding those contributions to the genetic merit of animals (Quaas (1988)
 <doi:10.3168/jds.S0022-0302(88)79691-5>). Calculation of Q is
 computationally extensive. There are computationally optimized functions to
 calculate Q.

Package: r-cran-ggrtsy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-purrr, r-cran-stringr, r-cran-ggplot2, r-cran-tibble, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggrtsy_0.1.0-1.ca2004.1_all.deb
Size: 460832
MD5sum: eb7e33f3b7e0864d39d94ba1b9173465
SHA1: ddcc41fffa7931db20dca349fe6aa0b31ec39ee7
SHA256: dd1043dd8d336f8264bc39e223b6595ef6809b2526cd88b7df9476358ae3fce9
SHA512: 88d35b1d37b17d1d3485d805d4ea3f5022e79f659afe001042ffd37fe600fda1e0fa7b2665c528584c56380f73abec1539acb0fb1691c29a06d686a3f7373a6e
Homepage: https://cran.r-project.org/package=ggRtsy
Description: CRAN Package 'ggRtsy' (Add Some Van Gogh Colors and Overlay Colors on Your 'ggplot()')
 Works with 'ggplot2' to add a Van Gogh color palette to the user’s
 repertoire.  It also has a function that work alongside 'ggplot2' to create
 more interesting data visualizations and add contextual information to the
 user’s plots.

Package: r-cran-ggsankeyfier
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridbezier, r-cran-rlang, r-cran-scales, r-cran-tidyr, r-cran-vwline
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-svglite, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggsankeyfier_0.1.8-1.ca2004.1_all.deb
Size: 546264
MD5sum: 37211fac499e4c6e475294f159c61be6
SHA1: 41c83a6a2367ab394a4bc3f89feb941742299b4f
SHA256: 11ce80ecb492ebafab9701e6d10ba764f7f0c527380613f88b71ee7386c0444b
SHA512: 555abe13776b15f5bb8112d2cb2a0b316666edb0b615f6f1c9fd1a149434ab42def6fa0306b02bb0cb6a55b36a4d790d2455b0b311c748000067f6c9c18d6613
Homepage: https://cran.r-project.org/package=ggsankeyfier
Description: CRAN Package 'ggsankeyfier' (Create Sankey and Alluvial Diagrams Using 'ggplot2')
 Sankey and alluvial diagrams visualise flows of quantities across stages in
 stacked bars. This package makes it easy to create such diagrams using
 'ggplot2'.

Package: r-cran-ggscatridges
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-ggpubr, r-cran-ggridges, r-cran-viridis, r-cran-hrbrthemes, r-cran-ggrepel, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-ggscatridges_0.1.2-1.ca2004.1_all.deb
Size: 25968
MD5sum: ca6944196bd4c8c6259cd4ea04189345
SHA1: 598b348e3f0c3fff56b840f317f94edada16f73b
SHA256: 8793b45bf0764045d3b25624b2b42afbccdfacc3d35d52ad597f78694c015eba
SHA512: 54e522d1947401769fa2de8c96642277ce1ea7df21a9c7c309b7fc023086122242c79c36aede5c814a238026c49ae9c391e0dceedda62f0132068663da1a0ba9
Homepage: https://cran.r-project.org/package=ggScatRidges
Description: CRAN Package 'ggScatRidges' (Scatter Plot Combined with Ridgelines in 'ggplot2')
 The function combines a scatter plot with ridgelines to better visualise the
 distribution between sample groups. The plot is created with 'ggplot2'.

Package: r-cran-ggsci
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3805
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-ragg, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggsci_3.2.0-1.ca2004.1_all.deb
Size: 2103636
MD5sum: cf811434ba6f526d4f259648aa14f5d7
SHA1: 8765584aeaeb88e3ed865189f41509d38528a676
SHA256: 3b38861419d1f5ed8dcb847fa3de1d4907630ff333e5e5412cfeca02e27c1e81
SHA512: 42f8b28f4c609aee901d3deba80e086a8d559750c7af960d5b9b8f03716604468a2ff65622a056998e91db49a90e6abf37221b601541772d4d18d07364a6189a
Homepage: https://cran.r-project.org/package=ggsci
Description: CRAN Package 'ggsci' (Scientific Journal and Sci-Fi Themed Color Palettes for'ggplot2')
 A collection of 'ggplot2' color palettes inspired by plots in scientific
 journals, data visualization libraries, science fiction movies, and TV
 shows.

Package: r-cran-ggscidca
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cmprsk, r-cran-e1071, r-cran-ggplot2, r-cran-kernlab, r-cran-randomforest, r-cran-reshape2, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ggscidca_0.2.3-1.ca2004.1_all.deb
Size: 218232
MD5sum: e84f6a5af626864aceb7ca212033aa46
SHA1: 077c0cb6aca85250cd7cfa31a90517a99050a227
SHA256: 94e34d5c01df4c943c40d75b63ac76c78998c2febe1a45897f7b8f76a51e79d8
SHA512: 6b8d81121c14f1b3384ddf77241014b5eabb0f39aacc43c96c5b4f198144e6f717f57bbeb80d45d4e23ea5e3dd4f53e4b54e20ba88ade36ac8fa799acfba324c
Homepage: https://cran.r-project.org/package=ggscidca
Description: CRAN Package 'ggscidca' (Plotting Decision Curve Analysis with Coloured Bars)
 Decision curve analysis is a method for evaluating and comparing prediction
 models that incorporates clinical consequences, requires only the data set
 on which the models are tested, and can be applied to models that have
 either continuous or dichotomous results. The 'ggscidca' package adds
 coloured bars of discriminant relevance to the traditional decision curve.
 Improved practicality and aesthetics. This method was described by
 Balachandran VP (2015) <doi:10.1016/S1470-2045(14)71116-7>.

Package: r-cran-ggseas
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-seasonal, r-cran-rlang, r-cran-zoo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggseas_0.5.4-1.ca2004.1_all.deb
Size: 218608
MD5sum: 44e16351aa3045821fc1e8dd3726a049
SHA1: bf7c2dc0c2736da21caa7eee479d65f0fbedae8d
SHA256: c32d5c255f1aad2902dc00fca751ca6290834eb02d75a0af8d5c2644f0e3e1e2
SHA512: 9116ed014e0e5a9a4b9db3ad28dc6c0741d67b1c3328b0d312d960d1c8d2703e9829a31af9cf5227a17fc82f12387ed9875b402a40992d03538b8b8bdf9064bc
Homepage: https://cran.r-project.org/package=ggseas
Description: CRAN Package 'ggseas' ('stats' for Seasonal Adjustment on the Fly with 'ggplot2')
 Provides 'ggplot2' 'stats' that estimate seasonally adjusted series and
 rolling summaries such as rolling average on the fly for time series.

Package: r-cran-ggsector
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-matrix, r-cran-prettydoc, r-cran-rlang, r-cran-seurat, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-biocmanager, r-bioc-complexheatmap, r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-ggsector_1.7.0-1.ca2004.1_all.deb
Size: 702016
MD5sum: 6d2bdfea1f5d826ee21a69520e6e6526
SHA1: eaaec0e153d36c6440eb22d7ac48ab98ad163e88
SHA256: 6c034d784af6aaab60331762f4a9ea6bb7db9f48db14730163b15514cbb93edc
SHA512: 480ff802d633ceae31819e799587efd3278fab530d26a636773cd006bf703f1de82236e405bb05188ea4c7185481586b5d389b82fb63e1fa93ff1cb49cd9fa78
Homepage: https://cran.r-project.org/package=ggsector
Description: CRAN Package 'ggsector' (Draw Sectors)
 Some useful functions that can use 'grid' and 'ggplot2' to plot sectors and
 interact with 'Seurat' to plot gene expression percentages. Also, there are
 some examples of how to draw sectors in 'ComplexHeatmap'.

Package: r-cran-ggseg3d
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4003
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plotly, r-cran-magrittr, r-cran-scales, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-devtools, r-cran-processx, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ggseg3d_1.6.3-1.ca2004.1_all.deb
Size: 3836604
MD5sum: 6cf91ad11ca20a7026108d787821bc29
SHA1: 62128b66513fa589c5e415f13a8a4d24bd4e20fc
SHA256: e02d346ea0a63907453a61df755c576d9f2955bbae85fbe8516b8b0cd78b3601
SHA512: 68ca045b81fd7a4ff3a73bf08114752f98698d4fa6e2f6ee6c1fe1dae82f44e6e23194ea047bc09d40ee493138ad91566330e135981be430f959148462f23237
Homepage: https://cran.r-project.org/package=ggseg3d
Description: CRAN Package 'ggseg3d' (Tri-Surface Mesh Plots for Brain Atlases)
 Mainly contains a plotting function ggseg3d(), and data of two standard
 brain atlases (Desikan-Killiany and aseg).  By far, the largest bit of the
 package is the data for each of the atlases.  The functions and data enable
 users to plot tri-surface mesh plots of brain atlases, and customise these
 by projecting colours onto the brain segments based on values in their own
 data sets. Functions are wrappers for 'plotly'. Mowinckel & Vidal-Piñeiro
 (2020) <doi:10.1177/2515245920928009>.

Package: r-cran-ggseg
Architecture: all
Version: 1.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4112
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-sf, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-here, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr, r-cran-devtools, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ggseg_1.6.5-1.ca2004.1_all.deb
Size: 2850868
MD5sum: 240c16e35fdf5abdfbe47116593a19f0
SHA1: c68eca4b2426532801eb9d6ce3fb92568c5c3a95
SHA256: db68557b18057c8d0ddf006e4b2cee26627563a60e56fa4fa112a1578116f737
SHA512: 33bf2fb955a64145fecbd95fa5b44444a684d7ebfb9ab7d38411693216573c3f1d03b1d7f037ff6d60f1b81d5ae7e26d9ace38984ea777347d09fa8e996cf8c2
Homepage: https://cran.r-project.org/package=ggseg
Description: CRAN Package 'ggseg' (Plotting Tool for Brain Atlases)
 Contains 'ggplot2' geom for plotting brain atlases using simple features.
 The largest component of the package is the data for the two built-in
 atlases. Mowinckel & Vidal-Piñeiro (2020) <doi:10.1177/2515245920928009>.

Package: r-cran-ggsegmentedtotalbar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-forcats
Suggests: r-cran-testthat, r-cran-devtools, r-cran-remotes, r-cran-roxygen2, r-cran-usethis, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggsegmentedtotalbar_0.1.0-1.ca2004.1_all.deb
Size: 96360
MD5sum: 45b3aafa8288aa8c92529f26f799883a
SHA1: d8167fdeb76589542566b2b2da32faa85e073595
SHA256: e602c2fa2dc1ebe3a2d343df9210ba45af11e3ce30d4745a2f535ec218988cc7
SHA512: 25f9bc66af3926fd80f4f83c1ee3606f32fcf4409832f7aa572ec31e577f54fd65c20dd86b91461599c3621ce2bc1f7ca6c1c5f33be22d05a2a6bb82d001158a
Homepage: https://cran.r-project.org/package=ggsegmentedtotalbar
Description: CRAN Package 'ggsegmentedtotalbar' (Create a Segmented Total Bar Plot with Custom Annotations andLabels)
 It provides a better alternative for stacked bar plot by creating a
 segmented total bar plot with custom annotations and labels. It is useful
 for visualizing the total of a variable and its segments in a single bar,
 making it easier to compare the segments and their contributions to the
 total.

Package: r-cran-ggsem
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-shiny, r-cran-dt, r-cran-colourpicker, r-cran-svglite, r-cran-smplot2, r-cran-lavaan, r-cran-rtsne, r-cran-umap
Suggests: r-cran-semplot, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ggsem_0.2.4-1.ca2004.1_all.deb
Size: 117588
MD5sum: 95b69cb7fc3ded6d8b5e54dd24b83657
SHA1: cb492a0b4dff7cc72958afd04aaf27812efba108
SHA256: e57f7ec7ea5c07556c8d4b54373557b7c88a381a21c70d886977f119b9516c41
SHA512: 54c68e30fdd02f51624ced22aae9b72506317b7ea7f42ce5414a2665b8f1e6f1f4a21985c340e7dc393cb49ff69e91f4a4c668935022e0488b3e050999d522a2
Homepage: https://cran.r-project.org/package=ggsem
Description: CRAN Package 'ggsem' (Interactively Visualize Structural Equation Modeling Diagrams)
 It is an R package and web-based application, allowing users to perform
 interactive and reproducible visualizations of path diagrams for structural
 equation modeling (SEM) and networks using the 'ggplot2' engine. Its app
 (built with 'shiny') provides an interface that allows extensive
 customization, and creates CSV outputs, which can then be used to recreate
 the figures either using the web app or script-based workflow.

Package: r-cran-ggseqlogo
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 809
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggseqlogo_0.2-1.ca2004.1_all.deb
Size: 741656
MD5sum: e2e1a96f5c1a8802a7e7f08ba9f7adca
SHA1: 7b2f7fb250144b5686434255021f9bab615eac21
SHA256: f34b7c6097b13157ff8abe91f0680ea77f08c66f37741721060379f4d4f39d69
SHA512: 64455b1cfd80e67fe49b3d0021b7770ed71d0d2527fa2a38c0d7b10996bff6b82caf9bc421d94cf8f87e7589cedc1ba033f7ee56ae41a10c1f2100a2d2a70b0d
Homepage: https://cran.r-project.org/package=ggseqlogo
Description: CRAN Package 'ggseqlogo' (A 'ggplot2' Extension for Drawing Publication-Ready SequenceLogos)
 The extensive range of functions provided by this package makes it possible
 to draw highly versatile sequence logos. Features include, but not limited
 to, modifying colour schemes and fonts used to draw the logo, generating
 multiple logo plots, and aiding the visualisation with annotations. Sequence
 logos can easily be combined with other plots 'ggplot2' plots.

Package: r-cran-ggseqplot
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1354
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-colorspace, r-cran-dplyr, r-cran-forcats, r-cran-ggh4x, r-cran-ggrepel, r-cran-ggtext, r-cran-glue, r-cran-haven, r-cran-patchwork, r-cran-purrr, r-cran-rdpack, r-cran-rlang, r-cran-tidyr, r-cran-usethis
Suggests: r-cran-covr, r-cran-ggthemes, r-cran-hrbrthemes, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggseqplot_0.8.7-1.ca2004.1_all.deb
Size: 1109372
MD5sum: 61e4df0ca97c25459449c7c3b25e08b9
SHA1: 7b1a3ea3e3cee717a94c1d136389ea649d06f54f
SHA256: f7a9afc332279fc05e28740dc1fd7aa72e847b5775201e6cb08666d2998bd3da
SHA512: 26c1b5c1c40fbc67b2ac5baf22e0d8b74a91b1c3fdf1fd6ad3040c33c2fdbb9a424d7a446714534515409f02dc3c67219c4037800b4cd97e3693fabedaecd695
Homepage: https://cran.r-project.org/package=ggseqplot
Description: CRAN Package 'ggseqplot' (Render Sequence Plots using 'ggplot2')
 A set of wrapper functions that mainly re-produces most of the sequence
 plots rendered with TraMineR::seqplot(). Whereas 'TraMineR' uses base R to
 produce the plots this library draws on 'ggplot2'.  The plots are produced
 on the basis of a sequence object defined with TraMineR::seqdef(). The
 package automates the reshaping and plotting of sequence data. Resulting
 plots are of class 'ggplot', i.e. components can be added and tweaked using
 '+' and regular 'ggplot2' functions.

Package: r-cran-ggshadow
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 746
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-rlang, r-cran-glue, r-cran-vctrs, r-cran-cli
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ggshadow_0.0.5-1.ca2004.1_all.deb
Size: 577184
MD5sum: 5ee456fe5c7eb8837bf4f950539518fa
SHA1: c1fa694fc41025a9482fb3fc287dd83706889151
SHA256: d0d491958911cae0de01b477746d806709ded13d932ee432598bde23ca100095
SHA512: d53516bae24f8e7011351f3d86e7034459fa8b6b6ee0188ce9e31d7615f13d08cee134040e6bb42d5d697717f419b0ff947c3751339c73bb0ba400c33b05dc73
Homepage: https://cran.r-project.org/package=ggshadow
Description: CRAN Package 'ggshadow' (Shadow and Glow Geoms for 'ggplot2')
 A collection of Geoms for R's 'ggplot2' library. geom_shadowpath(),
 geom_shadowline(), geom_shadowstep() and geom_shadowpoint() functions draw a
 shadow below lines to make busy plots more aesthetically pleasing.
 geom_glowpath(), geom_glowline(), geom_glowstep() and geom_glowpoint() add a
 neon glow around lines to get a steampunk style.

Package: r-cran-ggside
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3420
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-rlang, r-cran-scales, r-cran-cli, r-cran-glue, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-tidyr, r-cran-dplyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vdiffr, r-cran-ggdendro, r-cran-viridis, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-ggside_0.3.1-1.ca2004.1_all.deb
Size: 2680480
MD5sum: 973e7e311be65ad26ffa23a33e2b3821
SHA1: 185a19c0c412efd61dd92d01193ef63ad514e89b
SHA256: dfb78e3d843689e0449e5395f88bad06ec2d78bab39831d256040e7cbeaddbd1
SHA512: 120db9b5c091966837f600a451f8e7782b69760c2a675df53c1d83dec1ac873c58c71aeac11a5368a9c0653c865320b949e2e4bbfc413373374669af9be541d2
Homepage: https://cran.r-project.org/package=ggside
Description: CRAN Package 'ggside' (Side Grammar Graphics)
 The grammar of graphics as shown in 'ggplot2' has provided an expressive API
 for users to build plots. 'ggside' extends 'ggplot2' by allowing users to
 add graphical information about one of the main panel's axis using a
 familiar 'ggplot2' style API with tidy data. This package is particularly
 useful for visualizing metadata on a discrete axis, or summary graphics on a
 continuous axis such as a boxplot or a density distribution.

Package: r-cran-ggsignif
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1064
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggsignif_0.6.4-1.ca2004.1_all.deb
Size: 566008
MD5sum: 6375bcf4063b8ea98a548f90c494a930
SHA1: 08ce12a9f449006c54a06f3b8480d818f9784fee
SHA256: d4568e6d111a39daa6bc56a13ecb9666675d349fc0fc4087ae8b4629d0b9d5dc
SHA512: 757188e5961215dae69b8f8bcc8b62210a94ba4c6132e7b2396bf737b9880091f091a43d3a8318463b2479c6dad6c8bd28bfc1ca5ee54393a9fd98a0690a905b
Homepage: https://cran.r-project.org/package=ggsignif
Description: CRAN Package 'ggsignif' (Significance Brackets for 'ggplot2')
 Enrich your 'ggplots' with group-wise comparisons.  This package provides an
 easy way to indicate if two groups are significantly different. Commonly
 this is shown by a bracket on top connecting the groups of interest which
 itself is annotated with the level of significance (NS, *, **, ***).  The
 package provides a single layer (geom_signif()) that takes the groups for
 comparison and the test (t.test(), wilcox.text() etc.) as arguments and adds
 the annotation to the plot.

Package: r-cran-ggsmc
Architecture: all
Version: 0.1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1440
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-poorman, r-cran-ggplot2, r-cran-gganimate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggsmc_0.1.2.0-1.ca2004.1_all.deb
Size: 1130860
MD5sum: e5264c008b3d5f455a87bd4f8721e2f7
SHA1: d169361e7f526622ceb9d01000052332da579520
SHA256: a3c38a034e1f35f390fcc7eac36ab257f7b1c82ec4ea6bd0ed03880622cde6b1
SHA512: 8c14cf473aac96ae9222e70c348271a0b20b37746b7c4e82ffbea80bf53f08c96f8fed7025322ebf188b5fd9a63fa20471d298f6b90b04adadedd494b8aae984
Homepage: https://cran.r-project.org/package=ggsmc
Description: CRAN Package 'ggsmc' (Visualising Output from Sequential Monte Carlo Samplers andEnsemble-Based Methods)
 Functions for plotting, and animating, the output of importance samplers,
 sequential Monte Carlo samplers (SMC) and ensemble-based methods. The
 package can be used to plot and animate histograms, densities, scatter plots
 and time series, and to plot the genealogy of an SMC or ensemble-based
 algorithm. These functions all rely on algorithm output to be supplied in
 tidy format. A function is provided to transform algorithm output from
 matrix format (one Monte Carlo point per row) to the tidy format required by
 the plotting and animating functions.

Package: r-cran-ggsn
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-sf, r-cran-png, r-cran-maptools, r-cran-ggmap
Filename: pool/dists/focal/main/r-cran-ggsn_0.5.0-1.ca2004.1_all.deb
Size: 669232
MD5sum: f26208bb80825b2ffe7daa1972a3df37
SHA1: b762c127b17507ff91f7a8b365781b7f412874b8
SHA256: 80ea5ae4bf6a25cd7ba19286ebceedf42c69dd6fe6047a9cb78dceea8bc914d6
SHA512: 5b74320b5784621c88a655a742d757f886253cd0db98690d0fd28feb92d40824a709dce3ff00b66b4a4660b9594c38cfcd8db70c0e22d89b4a5d031d30f62db7
Homepage: https://cran.r-project.org/package=ggsn
Description: CRAN Package 'ggsn' (North Symbols and Scale Bars for Maps Created with 'ggplot2' or'ggmap')
 Adds north symbols (18 options) and scale bars in kilometers, meters,
 nautical miles, or statue miles, to maps in geographic or metric coordinates
 created with 'ggplot2' or 'ggmap'.

Package: r-cran-ggsoccer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-ggsoccer_0.2.0-1.ca2004.1_all.deb
Size: 269652
MD5sum: 694736a9dfd16d67dca26518076c7d6f
SHA1: fc025209a442724e0486cf95b76eb9a2f35ad040
SHA256: b560c0bdd7fc0f94e7406fa065409e366e864ae90071e473797bbdca59c66364
SHA512: ee4c5a7ec749c2e981f13c6a517a2ae6afd446f3e3421589792cca5c87e8c7fe1729a8089cf9c49336211f54f606e67c3ea5c49e7a368bf20aabf38675a6997a
Homepage: https://cran.r-project.org/package=ggsoccer
Description: CRAN Package 'ggsoccer' (Plot Soccer Event Data)
 The 'ggplot2' package provides a powerful set of tools for visualising and
 investigating data. The 'ggsoccer' package provides a set of functions for
 elegantly displaying and exploring soccer event data with 'ggplot2'.
 Providing extensible layers and themes, it is designed to work smoothly with
 a variety of popular sports data providers.

Package: r-cran-ggsolvencyii
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-ggmap, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggsolvencyii_0.1.2-1.ca2004.1_all.deb
Size: 302304
MD5sum: 74f7b2d4492207c66e004f25f83524dc
SHA1: bc2a3c31ddf9fb1a3b039a586a7428e94e466f30
SHA256: 1c376acf52660da874cf8abf73ba24326683b05e48293e65448585b9bc735471
SHA512: 83c7354d68958fb80f11b29dec02ff9275e49608c9905f053369bcc9949906bb818d05559e574c23a2b7b256917b4a6c9af2c9f9d6a707f99740fe83b6833aac
Homepage: https://cran.r-project.org/package=ggsolvencyii
Description: CRAN Package 'ggsolvencyii' (A 'ggplot2'-Plot of Composition of Solvency II SCR: SF and IM)
 An implementation of 'ggplot2'-methods to present the composition of
 Solvency II Solvency Capital Requirement (SCR) as a series of concentric
 circle-parts.  Solvency II (Solvency 2) is European insurance legislation,
 coming in force by the delegated acts of October 10, 2014.
 <https://eur-lex.europa.eu/legal-content/EN/TXT/?uri=OJ%3AL%3A2015%3A012%3ATOC>.
 Additional files, defining the structure of the Standard Formula (SF) method
 of the SCR-calculation are provided.  The structure files can be adopted for
 localization or for insurance companies who use Internal Models (IM).
 Options are available for combining smaller components, horizontal and
 vertical scaling, rotation, and plotting only some circle-parts.  With
 outlines and connectors several SCR-compositions can be compared, for
 example in ORSA-scenarios (Own Risk and Solvency Assessment).

Package: r-cran-ggsom
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-kohonen, r-cran-assertthat, r-cran-data.table, r-cran-entropy, r-cran-tibble
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggsom_0.4.0-1.ca2004.1_all.deb
Size: 34688
MD5sum: cf140a99033ff4b5352e92b285023cb7
SHA1: a944f935bf2e4f2600822da3b1927f5153acd802
SHA256: debafb5928a38d09e82edd0b388b1f0ee63013db94a60a61dd9f7c19e6fe097f
SHA512: aec2c5012d51b95031925b7d8295c40b400b49099ea9e0046dee03798e0a188b8fe30320181a1f01b8bc51e78baf693d25a1ae2f02834d9b32d0488b6d3db3ac
Homepage: https://cran.r-project.org/package=ggsom
Description: CRAN Package 'ggsom' (New Data Visualisations for SOMs Networks)
 The aim of this package is to offer more variability of graphics based on
 the self-organizing maps.

Package: r-cran-ggspark
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-tinytest, r-cran-tinysnapshot, r-cran-rsvg, r-cran-svglite, r-cran-ggrepel, r-cran-fontquiver
Filename: pool/dists/focal/main/r-cran-ggspark_0.0.2-1.ca2004.1_all.deb
Size: 77304
MD5sum: 633f1ce587f7fc1818fe74284177f8d3
SHA1: c7f869c031fd0d1c4f7ea8ff301cb0cfc04c123f
SHA256: 143dccc358652d1cf5f46b7c3d91fac0a2bbc3aae68b0b6ffce6a4f747922d4a
SHA512: f6b25e8e405e6154535f79a884168eaa3dbaf224a020bec5481e6e6382041d45462b1627552a98ed0bbf3d28ea71d6a092fd9b6e3e4a8777083759bf44b2c849
Homepage: https://cran.r-project.org/package=ggspark
Description: CRAN Package 'ggspark' ('ggplot2' Functions to Create Tufte Style Sparklines)
 Functions to help with creating sparklines in the style of Edward Tufte
 <https://www.edwardtufte.com/bboard/q-and-a-fetch-msg?msg_id=0001OR&topic_id=1>
 in 'ggplot2'. It computes ribbon geoms with the interquartile ranges and
 points and/or labels at the beginning, end, max, and min points.

Package: r-cran-ggspatial
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-ggplot2, r-cran-rosm, r-cran-abind, r-cran-tibble, r-cran-scales, r-cran-tidyr, r-cran-rlang, r-cran-glue
Suggests: r-cran-prettymapr, r-cran-knitr, r-cran-rmarkdown, r-cran-sp, r-cran-raster, r-cran-terra, r-cran-testthat, r-cran-dplyr, r-cran-withr, r-cran-ggrepel, r-cran-stars, r-cran-covr, r-cran-vdiffr, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-ggspatial_1.1.9-1.ca2004.1_all.deb
Size: 2367932
MD5sum: 2c678fca7b454b4892b2f3f6294a34c1
SHA1: 46797cd5d91798c62ffb4c087f30500738b91590
SHA256: 0f7bf1f166215ea066f290b972f1ee46ade97c7d70418e48edc5cf549e5da6e0
SHA512: 72416a75b83812ea379540ef3b04849598912363cbdbc8abd6efda5c331a9c064ca61944562ddcfa4ef84dac436534f3d254c6f9486ff7fd51a640809117b117
Homepage: https://cran.r-project.org/package=ggspatial
Description: CRAN Package 'ggspatial' (Spatial Data Framework for ggplot2)
 Spatial data plus the power of the ggplot2 framework means easier mapping
 when input data are already in the form of spatial objects.

Package: r-cran-ggspectra
Architecture: all
Version: 0.3.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3615
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-photobiology, r-cran-ggplot2, r-cran-photobiologywavebands, r-cran-scales, r-cran-ggrepel, r-cran-lubridate, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ggspectra_0.3.16-1.ca2004.1_all.deb
Size: 2403648
MD5sum: f0e44beb66ebe5600e87f39bac71696f
SHA1: 12317900d556654862d3b623d272324c9cc18aab
SHA256: 27c966b74fc0af6e53913c68459bee72c09152fca2743b35c8b22ccf098bc7fa
SHA512: fa7681714c9f7adc25244aeafa9f3d177a348e40c60bb099db99014142fdfd2263c9ca9da59fa07b831507c6b69c73c848425d5a7e06ce40f8de06aa698f5c1b
Homepage: https://cran.r-project.org/package=ggspectra
Description: CRAN Package 'ggspectra' (Extensions to 'ggplot2' for Radiation Spectra)
 Additional annotations, stats, geoms and scales for plotting "light" spectra
 with 'ggplot2', together with specializations of ggplot() and autoplot()
 methods for spectral data and waveband definitions stored in objects of
 classes defined in package 'photobiology'. Part of the 'r4photobiology'
 suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-ggstackplot
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4607
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-cli, r-cran-lifecycle, r-cran-tidyselect, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-cowplot, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-scales, r-cran-pangaear
Filename: pool/dists/focal/main/r-cran-ggstackplot_0.4.1-1.ca2004.1_all.deb
Size: 3446972
MD5sum: ea8dac20977159d0f366ff89895364ed
SHA1: 12efbbc9d72d14a16cb99fb2a0d082012a094b6a
SHA256: 99c177973f11021eea1c3d1d57168ddb6efd7227980786ae4adee3aba19d454e
SHA512: 99c326fdfc9db35957444d1a2eb84c0397e86a0e46d3083bf58b548e52dfe2976720e168c2298b0b0518efbda4953699f22894fc8112e3b6e9f4036097e54946
Homepage: https://cran.r-project.org/package=ggstackplot
Description: CRAN Package 'ggstackplot' (Create Overlapping Stacked Plots)
 Easily create overlapping grammar of graphics plots for scientific data
 visualization.  This style of plotting is particularly common in climatology
 and oceanography research communities.

Package: r-cran-ggstance
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-plyr, r-cran-rlang, r-cran-withr
Suggests: r-cran-covr, r-cran-hmisc, r-cran-quantreg, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggstance_0.3.7-1.ca2004.1_all.deb
Size: 242876
MD5sum: b551804a206d7527a80d4d14beca1ce1
SHA1: 54d74b3d0cb8c41385cc5d631027b1b1fa1f4b59
SHA256: 163032813c80cdfe74fcf3c03d090863190096b9bc782abb501ee8560862a143
SHA512: f5c2194d3de7f9e24a5039d623f8327a3e250e37fd98f21cd421108245a0276a151e13c4c69ebbd8e884cac1c7fd50c213288a3cae2fed8c4b490c2058701e21
Homepage: https://cran.r-project.org/package=ggstance
Description: CRAN Package 'ggstance' (Horizontal 'ggplot2' Components)
 A 'ggplot2' extension that provides flipped components: horizontal versions
 of 'Stats' and 'Geoms', and vertical versions of 'Positions'. This package
 is now superseded by 'ggplot2' itself which now has full native support for
 horizontal layouts. It remains available for backward compatibility.

Package: r-cran-ggstar
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 563
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-gridextra, r-cran-cli
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-ggstar_1.0.4-1.ca2004.1_all.deb
Size: 173120
MD5sum: e474a3263ce1968a1edf2c4ebd1a77ae
SHA1: 5020bce0c1fd2e71bc5199b6e850d646ca51ff59
SHA256: 6318794470508901bea8274ab73232abd377e3b55bbd4de85a4cd496075e565e
SHA512: 7e67afaa36e2f88e7b0a78c2c215be8127915e6d251460043704a6b9d6d7c1ee02cf1fb8c1f99aa120feafe6af9c9f4b92f71739c23b75bd19575f4e4f4444e5
Homepage: https://cran.r-project.org/package=ggstar
Description: CRAN Package 'ggstar' (Multiple Geometric Shape Point Layer for 'ggplot2')
 To create the multiple polygonal point layer for easily discernible shapes,
 we developed the package, it is like the 'geom_point' of 'ggplot2'.  It can
 be used to draw the scatter plot.

Package: r-cran-ggstats
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1817
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-lifecycle, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-betareg, r-cran-broom, r-cran-broom.helpers, r-cran-emmeans, r-cran-glue, r-cran-gtsummary, r-cran-knitr, r-cran-labelled, r-cran-reshape, r-cran-rmarkdown, r-cran-nnet, r-cran-parameters, r-cran-pscl, r-cran-testthat, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggstats_0.9.0-1.ca2004.1_all.deb
Size: 1163920
MD5sum: 20c8fbcd7c83c37418a164d961c0ad99
SHA1: e6c8307e25dbe06b4bdaad1dfa7d01acc70f6723
SHA256: 7a925eb736d59a838263a11e3459846f2f3d54f3732b7c1ab428d07e96dcc921
SHA512: 682f862a5490f706e48798c1767679ee30420b4e9390c80e799d8db2a64ef0c57c3e8061fca0bff98f8a915e53b5a059c88e28ec6b7a6b2b8689ac67dc1676fb
Homepage: https://cran.r-project.org/package=ggstats
Description: CRAN Package 'ggstats' (Extension to 'ggplot2' for Plotting Stats)
 Provides new statistics, new geometries and new positions for 'ggplot2' and
 a suite of functions to facilitate the creation of statistical plots.

Package: r-cran-ggstatsplot
Architecture: all
Version: 0.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3922
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-correlation, r-cran-datawizard, r-cran-dplyr, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggside, r-cran-ggsignif, r-cran-glue, r-cran-insight, r-cran-paletteer, r-cran-parameters, r-cran-patchwork, r-cran-performance, r-cran-purrr, r-cran-rlang, r-cran-statsexpressions, r-cran-tidyr
Suggests: r-cran-afex, r-cran-bayestestr, r-cran-bayesfactor, r-cran-gapminder, r-cran-knitr, r-cran-lme4, r-cran-mass, r-cran-metabma, r-cran-metafor, r-cran-metaplus, r-cran-psych, r-cran-rmarkdown, r-cran-rstantools, r-cran-survival, r-cran-testthat, r-cran-tibble, r-cran-vdiffr, r-cran-withr, r-cran-wrs2
Filename: pool/dists/focal/main/r-cran-ggstatsplot_0.13.1-1.ca2004.1_all.deb
Size: 3271192
MD5sum: cdd3e0e0ca59b89a16fe060472bf9ff6
SHA1: ad8077e89c7ac215c4d2b16688ebdf096cf8ea22
SHA256: 612f82c317dbcd302173d70ffbe36f96c25a708956d382ae06e1f13da54e7a7c
SHA512: 5f43138d916b9dff77823a163bf945302383a647b243580350b6f0a58c17da0066617c6be1ae9fc3b029181c51cf4f72feff29b8e91ccdeaf93c887cc8e027a7
Homepage: https://cran.r-project.org/package=ggstatsplot
Description: CRAN Package 'ggstatsplot' ('ggplot2' Based Plots with Statistical Details)
 Extension of 'ggplot2', 'ggstatsplot' creates graphics with details from
 statistical tests included in the plots themselves. It provides an easier
 syntax to generate information-rich plots for statistical analysis of
 continuous (violin plots, scatterplots, histograms, dot plots,
 dot-and-whisker plots) or categorical (pie and bar charts) data. Currently,
 it supports the most common types of statistical approaches and tests:
 parametric, nonparametric, robust, and Bayesian versions of t-test/ANOVA,
 correlation analyses, contingency table analysis, meta-analysis, and
 regression analyses.  References: Patil (2021) <doi:10.21105/joss.03236>.

Package: r-cran-ggstream
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-forcats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggstream_0.1.0-1.ca2004.1_all.deb
Size: 51324
MD5sum: 684eb6a6c32642ab3cb945c062de349a
SHA1: d3795a9c0036d46431092442001dc439aa9a2368
SHA256: 34383265029486c8f77e19afaccf341c88d37f55be58b331bf7927126d341c63
SHA512: aa248e5f3d69ac66e9054e30156a238410cf4c4209fbffbc97b375bf30cdc627aaeaced9f26326a8e3ad48096a2749a493752e3b8b3c2e82b463163fedcb6f2b
Homepage: https://cran.r-project.org/package=ggstream
Description: CRAN Package 'ggstream' (Create Streamplots in 'ggplot2')
 Make smoothed stacked area charts in 'ggplot2'. Stream plots are useful to
 show magnitude trends over time.

Package: r-cran-ggstudent
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggstudent_0.1.2-1.ca2004.1_all.deb
Size: 54948
MD5sum: 289acd988e903a10da63805cce7ae85f
SHA1: b4ac159c0e4830183fd3af746ff09c0ed674c00a
SHA256: 8322f36c8cab2fb3156d7cff52772c0b20b875dd5a9dd63387b4ed16b649c50c
SHA512: 0f7eea73defed6e26580d1b0809db7afab2f47cc1bb517bb46f2950bcc3a01745203e34f9677020703db26bf57f563c3f62dce0fcbcae37fe8f5bdd1f3db060c
Homepage: https://cran.r-project.org/package=ggstudent
Description: CRAN Package 'ggstudent' (Continuous Confidence Interval Plots using t-Distribution)
 Provides an extension to 'ggplot2' (Wickham, 2016,
 <doi:10.1007/978-3-319-24277-4>) for creating two types of continuous
 confidence interval plots (Violin CI and Gradient CI plots), typically for
 the sample mean. These plots contain multiple user-defined confidence areas
 with varying colours, defined by the underlying t-distribution used to
 compute standard confidence intervals for the mean of the normal
 distribution when the variance is unknown. Two types of plots are available,
 a gradient plot with rectangular areas, and a violin plot where the shape
 (horizontal width) is defined by the probability density function of the
 t-distribution. These visualizations are studied in (Helske, Helske, Cooper,
 Ynnerman, and Besancon, 2021) <doi:10.1109/TVCG.2021.3073466>.

Package: r-cran-ggsurveillance
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1211
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-isoweek, r-cran-lubridate, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-ggrepel, r-cran-hmisc, r-cran-knitr, r-cran-outbreaks, r-cran-plotly, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tsibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggsurveillance_0.4.0-1.ca2004.1_all.deb
Size: 820676
MD5sum: 73c85a81963abeffa9201e157098591a
SHA1: 4e11683402fbf3902880a2f00774c57d65fa2ab9
SHA256: 2d3e322c3fa90edd1de8decc2e03d2f6c641dc31e008f5c14e9fa4b29da1f309
SHA512: 3d3408ffe1446bcd4b0d8e85390638cd63057364bcb7bb7eb6d0e8d14289ccb120b30959b19fdca89d1060fe938e1ef86b1d6ee926aa44629ee4c149694a3cc6
Homepage: https://cran.r-project.org/package=ggsurveillance
Description: CRAN Package 'ggsurveillance' (Tools for Outbreak Investigation/Infectious Disease Surveillance)
 Create epicurves or epigantt charts in 'ggplot2'. Prepare data for
 visualisation or other reporting for infectious disease surveillance and
 outbreak investigation. Includes tidy functions to solve date based
 transformations for common reporting tasks, like (A) seasonal date alignment
 for respiratory disease surveillance, (B) date-based case binning based on
 specified time intervals like isoweek, epiweek, month and more, (C)
 automated detection and marking of the new year based on the date/datetime
 axis of the 'ggplot2'.  An introduction on how to use epicurves can be found
 on the US CDC website (2012,
 <https://www.cdc.gov/training/quicklearns/epimode/index.html>).

Package: r-cran-ggsurvey
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-survey, r-cran-hexbin, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ggsurvey_1.0.0-1.ca2004.1_all.deb
Size: 71180
MD5sum: 44ef218fe7fd8dd58c1e9afd4fcf6f6c
SHA1: e8f8bee78dd67645f1e6de6a11f65d9eb26503bc
SHA256: 5975d521c5eb26df1cc9468bfb8091f0e6e4c4fb58f87a11b4e6f837e6357892
SHA512: e0e1943721eb9c56aa7a39020520790e6fcda805c0a41c7d4ebb66cdb6a5f83b9702eadf8306cda2b1893b482d4e2a4b45db54d569fb4d71fe988deeeee2aff6
Homepage: https://cran.r-project.org/package=ggsurvey
Description: CRAN Package 'ggsurvey' (Simplifying 'ggplot2' for Survey Data)
 Functions for survey data including svydesign objects from the 'survey'
 package that call 'ggplot2' to make bar charts, histograms, boxplots, and
 hexplots of survey data.

Package: r-cran-ggsurvfit
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 707
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-gtable, r-cran-patchwork, r-cran-rlang, r-cran-survival, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tidycmprsk, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ggsurvfit_1.1.0-1.ca2004.1_all.deb
Size: 575248
MD5sum: f927ee08a10c06426b3ef52ae68bec96
SHA1: f500a57d266bd87a7760b7aad78256438b9a3d61
SHA256: f5b2422139cd82b5f1c564d10bb748964d722ccb04ebd68821c518c7adf9735f
SHA512: 8dde4cdda6dbdd66bc91d81310a36b4fc497c4f50661ebb17e3913aba2e710aa803ea5827352ccdee1267cec5d72f52f3908dd59e6e491ccbf0d1beeac31a77b
Homepage: https://cran.r-project.org/package=ggsurvfit
Description: CRAN Package 'ggsurvfit' (Flexible Time-to-Event Figures)
 Ease the creation of time-to-event (i.e. survival) endpoint figures. The
 modular functions create figures ready for publication.  Each of the
 functions that add to or modify the figure are written as proper 'ggplot2'
 geoms or stat methods, allowing the functions from this package to be
 combined with any function or customization from 'ggplot2' and other
 'ggplot2' extension packages.

Package: r-cran-ggswissmaps
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-dplyr, r-cran-sf, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggswissmaps_0.1.2-1.ca2004.1_all.deb
Size: 1690372
MD5sum: 9eb6a9aa4f22d447782915c301bac2a9
SHA1: 5d2d5ee3b5954924135c0c0c70deaca834aa9f2a
SHA256: c87f124eb80c35a6c8cf3ed0b5dbded0b9ee2f3da215aa9d5b59201e87542ff2
SHA512: 499976c175508cc42c2c4c6a537eb58174797dfe85835d84f4c157a5fb58514b2d5f976f427ee6d1df77aa44c2e9218e4bd5adc379be24bdf44a130b7e70e88d
Homepage: https://cran.r-project.org/package=ggswissmaps
Description: CRAN Package 'ggswissmaps' (Offers Various Swiss Maps as Data Frames and 'ggplot2' Objects)
 Offers various swiss maps as data frames and 'ggplot2' objects and gives the
 possibility to add layers of data on the maps. Data are publicly available
 from the swiss federal statistical office. In addition to the \code{maps2}
 object (a list of 8 swiss maps, at various levels), there are the data
 frames with the boundaries used to produce these maps (\code{shp_df}, a list
 with 8 data frames).

Package: r-cran-ggtangle
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggfun, r-cran-ggplot2, r-cran-ggrepel, r-cran-igraph, r-cran-rlang, r-cran-yulab.utils
Suggests: r-cran-aplot, r-cran-cli, r-cran-ggnewscale, r-bioc-ggtree, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-scatterpie
Filename: pool/dists/focal/main/r-cran-ggtangle_0.0.7-1.ca2004.1_all.deb
Size: 243608
MD5sum: 2f698fc2c594eed40486e22c0b436e07
SHA1: 980aee228221088d6384ad4292abf81fe49d4278
SHA256: 0ddecf7b5863de3894a2d65c92b77ba63542ef61afb8321dbb79caf3f150d6d1
SHA512: 920c6da0de25ae26137e64631400cbe568f052ec881e40dca6a363e5596a5fdabc313691650e34b690001127696884c5ec3f5f476ed1a7a010931960279f5b20
Homepage: https://cran.r-project.org/package=ggtangle
Description: CRAN Package 'ggtangle' (Draw Network with Data)
 Extends the 'ggplot2' plotting system to support network visualization.
 Inspired by the 'Method 1' in 'ggtree' (G Yu (2018)
 <doi:10.1093/molbev/msy194>), 'ggtangle' is designed to work with network
 associated data.

Package: r-cran-ggtaxplot
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tidyverse, r-cran-scales, r-cran-rcolorbrewer, r-cran-cluster, r-cran-vegan, r-cran-ggalluvial, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-ggtaxplot_0.0.1-1.ca2004.1_all.deb
Size: 56288
MD5sum: 43bee51e085822835ff8f154d180df9d
SHA1: 34214175f2b84f5230e2ed39c586c84917913770
SHA256: cacad9f840b87a359a2168ff7cee5daf2c01efe692b8c5f4b243352058b6a7ba
SHA512: c4490036a63b16fcf823601b7b46404392b4622698b525b366bfd84a8d894e6d7e611c12858dc203a26b3bc26c1794e0d80c4f1a65a3d9175ff0ad86bd78f9c5
Homepage: https://cran.r-project.org/package=ggtaxplot
Description: CRAN Package 'ggtaxplot' (Create Plots to Visualize Taxonomy)
 Provides a comprehensive suite of functions for processing and visualizing
 taxonomic data. It includes functionality to clean and transform taxonomic
 data, categorize it into hierarchical ranks (such as Phylum, Class, Order,
 Family, and Genus), and calculate the relative abundance of each category.
 The package also generates a color palette for visual representation of the
 taxonomic data, allowing users to easily identify and differentiate between
 various taxonomic groups. Additionally, it features a river plot
 visualization to effectively display the distribution of individuals across
 different taxonomic ranks, facilitating insights into taxonomic
 visualization.

Package: r-cran-ggtea
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggtea_0.1.1-1.ca2004.1_all.deb
Size: 30912
MD5sum: 1e1a55b8a02a010483deed136ed72673
SHA1: b79b4e66d72802878788afe2676bcc8c2efd5666
SHA256: 657537746e68d4b7bb1b14b70903947d0d2a6817d957db45a2291b7c396a6f11
SHA512: 350117cd13add3dce8878614561def8d1a8f685b88ef23a802064bf54015fbefc407a7b03297125a8936f0361039f1db09d3502263f13c4f2ee5707e9851cccc
Homepage: https://cran.r-project.org/package=ggtea
Description: CRAN Package 'ggtea' (Palettes and Themes for 'ggplot2')
 A collection of palettes and themes for 'ggplot2', offering a light, pastel
 aesthetic. Syntax follows the 'viridis' package.

Package: r-cran-ggtern
Architecture: all
Version: 3.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1909
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-compositions, r-cran-gridextra, r-cran-gtable, r-cran-latex2exp, r-cran-mass, r-cran-plyr, r-cran-scales, r-cran-proto, r-cran-lattice, r-cran-hexbin, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-ggtern_3.5.0-1.ca2004.1_all.deb
Size: 1088160
MD5sum: 6daba4d27340ffb13cd9de5ce7f96d48
SHA1: 5cab110ee24e68727e0690cf8c16bcbed48f385b
SHA256: 3537be7d7aacd6f8e960a6b56981350f93f9f9e97bbafcc42d6f4a495ba4349c
SHA512: a486f902ff046c1889b2920c85c8a88cd42461fed4e6101ee86f4ff34ca3b7f71610fa716f0d56a75115008266403793c600a4655427f808534a59a8f7fc1e98
Homepage: https://cran.r-project.org/package=ggtern
Description: CRAN Package 'ggtern' (An Extension to 'ggplot2', for the Creation of Ternary Diagrams)
 Extends the functionality of 'ggplot2', providing the capability to plot
 ternary diagrams for (subset of) the 'ggplot2' geometries. Additionally,
 'ggtern' has implemented several NEW geometries which are unavailable to the
 standard 'ggplot2' release. For further examples and documentation, please
 proceed to the 'ggtern' website.

Package: r-cran-ggtext
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1600
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gridtext, r-cran-rlang, r-cran-scales
Suggests: r-cran-cowplot, r-cran-dplyr, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ggtext_0.1.2-1.ca2004.1_all.deb
Size: 1203648
MD5sum: bd630e6aca61b2635b8c3d27e72e4a3c
SHA1: 2f609f013e60d5f2ddf94d288c8d118f75cc9e91
SHA256: a357e5eca7dcd398e3b69e017dd6d4226f80a3d8bf1d0da5ea3e6c9fc4f1bd2d
SHA512: f902a95d3b496939cd7ccc8c9800e17aa8379ac3674a55b440a519bfef498244d28e0dbbc68ad836268a5e9d3a2d458b504f61d438ba79c22a4c919f8990150a
Homepage: https://cran.r-project.org/package=ggtext
Description: CRAN Package 'ggtext' (Improved Text Rendering Support for 'ggplot2')
 A 'ggplot2' extension that enables the rendering of complex formatted plot
 labels (titles, subtitles, facet labels, axis labels, etc.). Text boxes with
 automatic word wrap are also supported.

Package: r-cran-ggthemeassist
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-ggplot2, r-cran-formatr
Suggests: r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-ggthemeassist_0.1.5-1.ca2004.1_all.deb
Size: 63748
MD5sum: 0f7b264510ccc22f0c7c8e5759d10788
SHA1: fd891b46a2bf7af3ee8ed3b474bb23f3fadfd525
SHA256: 796819c098cf58ed330ec8d9d9565f588c8de425a3c35868f651e2fd9df78623
SHA512: a4d0b03dfa0db184f560e8779a13387084dae85ca98055d7fb2045258d7dd859c70d546512557824f728339f7b6368572dcdbafe5a430d4ea93d11643f234163
Homepage: https://cran.r-project.org/package=ggThemeAssist
Description: CRAN Package 'ggThemeAssist' (Add-in to Customize 'ggplot2' Themes)
 Rstudio add-in that delivers a graphical interface for editing 'ggplot2'
 theme elements.

Package: r-cran-ggthemes
Architecture: all
Version: 5.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-lifecycle, r-cran-purrr, r-cran-scales, r-cran-stringr, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-covr, r-cran-extrafont, r-cran-glue, r-cran-knitr, r-cran-lattice, r-cran-lintr, r-cran-maps, r-cran-mapproj, r-cran-pander, r-cran-quantreg, r-cran-rlang, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ggthemes_5.1.0-1.ca2004.1_all.deb
Size: 429032
MD5sum: f39ab30dbad198a577af38e992f1fac3
SHA1: 778eec3669756d2ec49c6bf86c6181531866bceb
SHA256: 24fa8be8fd557122361cc9b01b849bbaef1bedd7dd0f79acfec18df5b76e475e
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Homepage: https://cran.r-project.org/package=ggthemes
Description: CRAN Package 'ggthemes' (Extra Themes, Scales and Geoms for 'ggplot2')
 Some extra themes, geoms, and scales for 'ggplot2'.  Provides 'ggplot2'
 themes and scales that replicate the look of plots by Edward Tufte, Stephen
 Few, 'Fivethirtyeight', 'The Economist', 'Stata', 'Excel', and 'The Wall
 Street Journal', among others.  Provides 'geoms' for Tufte's box plot and
 range frame.

Package: r-cran-ggthemeul
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Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ggthemeul_0.1.3-1.ca2004.1_all.deb
Size: 172340
MD5sum: 6a4acd5bd3866ee00150c95139cc61ea
SHA1: 0f6672f2086eece3f9be4075ab55faa630b33df2
SHA256: 849d63bbf80953253d29cdb2be0a5980ae56f75da3f80039508acda19255257b
SHA512: 698825016378419fa53ad26131788b08c3b118f9bd6833afeedb2c8a7c94278b0e3d5dee6a4b33c42aa0b531e0875bf3808f404900972c5f1ee196e9176b16c1
Homepage: https://cran.r-project.org/package=ggthemeUL
Description: CRAN Package 'ggthemeUL' (A 'ggplot' Theme for University of Ljubljana)
 Designed to customize 'ggplot' graphics according to the institutional
 identity of the University of Ljubljana.

Package: r-cran-ggtibble
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-knitr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ggtibble_1.0.2-1.ca2004.1_all.deb
Size: 66960
MD5sum: 30b75f59fee0c777d5c79a7328018311
SHA1: 110858e3313b4aa040c46dc3a125ed3501e58c2d
SHA256: 424bdaac2bc05447bdc659be31788f7766bbb87246051b61ec298740a7d3acea
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Homepage: https://cran.r-project.org/package=ggtibble
Description: CRAN Package 'ggtibble' (Create Tibbles and Lists of 'ggplot' Figures for Reporting)
 Create tibbles and lists of 'ggplot' figures that can be modified as easily
 as regular 'ggplot' figures.  Typical use cases are for creating reports or
 web pages where many figures are needed with different data and similar
 formatting.

Package: r-cran-ggtikz
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Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-stringr, r-cran-tikzdevice
Suggests: r-cran-covr, r-cran-knitr, r-cran-magick, r-cran-rmarkdown, r-cran-testthat, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-ggtikz_0.1.3-1.ca2004.1_all.deb
Size: 368440
MD5sum: cf2ce206bdd0c7667e91e84d31b16b7c
SHA1: cb0604910013ba64166454ba1736025f2e0560f2
SHA256: 71afc68c44d25f6682bf73f474623e09f6835302bfa24ded03c2591427beed16
SHA512: 82957510699bf3354a12d37be6b5febbf7113f86d0f86868d328a4a3c41bde215eea827ef182217f798091b5dd9e512c8f5e7149345d996d9d70343872710d1c
Homepage: https://cran.r-project.org/package=ggtikz
Description: CRAN Package 'ggtikz' (Post-Process 'ggplot2' Plots with 'TikZ' Code Using PlotCoordinates)
 Annotation of 'ggplot2' plots with arbitrary 'TikZ' code, using absolute
 data or relative plot coordinates.

Package: r-cran-ggtime
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Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lifecycle, r-cran-rlang, r-cran-timechange, r-cran-tsibble, r-cran-fabletools, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-lubridate, r-cran-gtable, r-cran-scales, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-tsibbledata, r-cran-feasts, r-cran-fable, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-ggtime_0.1.0-1.ca2004.1_all.deb
Size: 357844
MD5sum: 3c2c14843be059ada40c6d5118423a6a
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Homepage: https://cran.r-project.org/package=ggtime
Description: CRAN Package 'ggtime' (Grammar of Graphics and Plot Helpers for Time SeriesVisualization)
 Extends the capabilities of 'ggplot2' by providing grammatical elements and
 plot helpers designed for visualizing temporal patterns. The package
 implements a grammar of temporal graphics, which leverages calendar
 structures to highlight changes over time. The package also provides plot
 helper functions to quickly produce commonly used time series graphics,
 including time plots, season plots, and seasonal sub-series plots.

Package: r-cran-ggtimeseries
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Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 574
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Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggthemes, r-cran-prettydoc
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Size: 419384
MD5sum: 3986923e67880c971658f453ac75564e
SHA1: 4994acbbe5aad75828b09731bd5837327757a341
SHA256: 1566c662aad3a32691f983239e05d7f10b35b344fd219d14f6068edc315192de
SHA512: 0d2be4c3ade8c488caf0c881267c35dd190522636d19a8c77ec5b8cfba73e20f1ddcf274102302e0fc7bcf26f7d34ffdf1227aa4c37809936b4dd010fd89e4e4
Homepage: https://cran.r-project.org/package=ggTimeSeries
Description: CRAN Package 'ggTimeSeries' (Time Series Visualisations Using the Grammar of Graphics)
 Provides additional display mediums for time series visualisations.

Package: r-cran-ggtrace
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1358
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-testthat, r-cran-vdiffr
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MD5sum: 211f66de3461a93472260a00f5c5bea2
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SHA256: cb6d016d80a9fbf7d184998647b5a9363550771f2f422fa40ce55080b0e142fd
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Homepage: https://cran.r-project.org/package=ggtrace
Description: CRAN Package 'ggtrace' (Trace and Highlight Groups of Data Points)
 Provides 'ggplot2' geoms that allow groups of data points to be outlined or
 highlighted for emphasis. This is particularly useful when working with
 dense datasets that are prone to overplotting.

Package: r-cran-ggtreebar
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Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-treemapify, r-cran-ggfittext, r-cran-dplyr, r-cran-cli
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Size: 449816
MD5sum: 4d79aaca02bf26a51414f615e9a5b911
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Homepage: https://cran.r-project.org/package=ggtreebar
Description: CRAN Package 'ggtreebar' (Make Treemap Bar Charts with 'ggplot2')
 Provides 'ggplot2' geoms analogous to 'geom_col()' and 'geom_bar()' that
 allow for treemaps using 'treemapify' nested within each bar segment.  Also
 provides geometries for subgroup bordering and text annotation.

Package: r-cran-ggtrendline
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Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-investr, r-cran-aiccmodavg
Filename: pool/dists/focal/main/r-cran-ggtrendline_1.0.3-1.ca2004.1_all.deb
Size: 75880
MD5sum: cc6895bcc042f80d12d4bc7d288bd508
SHA1: 936ef9e2cde7fc7aa702d85ee0ca51694d3a3081
SHA256: b0285f72a6006cf2b2b52403daa501e97cbf188b186d4720c9f79ef1ce43ceef
SHA512: b494a188bad22d98672b163dbfe209be183c6588ba619179eee789ba7bfcac4c200a1a486aad8da69bb703af032160f4c18a00023da15747d0eb920605b9bb75
Homepage: https://cran.r-project.org/package=ggtrendline
Description: CRAN Package 'ggtrendline' (Add Trendline and Confidence Interval to 'ggplot')
 Add trendline and confidence interval of linear or nonlinear regression
 model and show equation to 'ggplot' as simple as possible. For a general
 overview of the methods used in this package, see Ritz and Streibig (2008)
 <doi:10.1007/978-0-387-09616-2> and Greenwell and Schubert Kabban (2014)
 <doi:10.32614/RJ-2014-009>.

Package: r-cran-ggtricks
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2904
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggtricks_0.1.0-1.ca2004.1_all.deb
Size: 2743140
MD5sum: f22d81b3daa6682f4d123eabfdeb0ffc
SHA1: 7da354ff0f1636c5a06d236416b93246cc7c59f6
SHA256: c19b569cfe4392ad9bf765f041723d5e0d394b57949d3e8a4cb4e76ffde8c18a
SHA512: 931b8cb329e37c6f40f029ff9414fc4f120446337a3de114c04778e3565cc41a5b911d3107c7f99b99673293399dbbe9bb56fc5050e5fde3d2f676f37462fe51
Homepage: https://cran.r-project.org/package=ggtricks
Description: CRAN Package 'ggtricks' (Create Sector and Other Charts Easily Using Grammar of Graphics)
 A collection of several geoms to create graphics, using 'ggplot2' and the
 Cartesian coordinate system. You use the familiar mapping 'Grammar of
 Graphics' without the need to do another transformation into polar
 coordinates.

Package: r-cran-ggum
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-psych, r-cran-abind, r-cran-viridis, r-cran-rdpack, r-cran-xlsx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggum_0.5-1.ca2004.1_all.deb
Size: 237808
MD5sum: 8730dd1d269070a5732ba0225a776e6f
SHA1: 80e1ef46b4cc9941cca6a100816c53b3324fd0ac
SHA256: aa6044e0202e6ff9b8b3f4da7faf09590b302a0c1293848b86d93194a9cd93d5
SHA512: 57d0c14ed8ae54b9c6441244bc996fffcdf1e0a1110a7faa4fa9ba14de710a7ecf19a8362c133f8cf27d66920ee0b906079d1b0534ccc90de2dfc466cc3cca29
Homepage: https://cran.r-project.org/package=GGUM
Description: CRAN Package 'GGUM' (Generalized Graded Unfolding Model)
 An implementation of the generalized graded unfolding model (GGUM) in R, see
 Roberts, Donoghue, and Laughlin (2000) <doi:10.1177/01466216000241001>). It
 allows to simulate data sets based on the GGUM. It fits the GGUM and the
 GUM, and it retrieves item and person parameter estimates. Several plotting
 functions are available (item and test information functions; item and test
 characteristic curves; item category response curves). Additionally, there
 are some functions that facilitate the communication between R and
 'GGUM2004'. Finally, a model-fit checking utility, MODFIT(), is also
 available.

Package: r-cran-ggupset
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2806
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-tibble, r-cran-rlang, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggupset_0.4.1-1.ca2004.1_all.deb
Size: 1851248
MD5sum: 1b4f64b5c556342908c3f5fde98043f8
SHA1: 6b92ce8a08968c8ecc0c488d417c491e7521aff6
SHA256: 78b6c66d59db12997ec4d2b23fff3ecb4de20140412d4675cae93da1930c285f
SHA512: 347f590981308f31e8a812ff7889562017d46e6295f5aff36b6da2e7fdbfd26536b93f33578a84af32545c9399eb06a671f7080e8264feeed5a635b316e6cd1b
Homepage: https://cran.r-project.org/package=ggupset
Description: CRAN Package 'ggupset' (Combination Matrix Axis for 'ggplot2' to Create 'UpSet' Plots)
 Replace the standard x-axis in 'ggplots' with a combination matrix to
 visualize complex set overlaps. 'UpSet' has introduced a new way to
 visualize the overlap of sets as an alternative to Venn diagrams.  This
 package provides a simple way to produce such plots using 'ggplot2'.  In
 addition it can convert any categorical axis into a combination matrix axis.

Package: r-cran-ggvenn
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ggvenn_0.1.10-1.ca2004.1_all.deb
Size: 70892
MD5sum: 4ade36d2845d26a531870628d27eaab4
SHA1: fde2b80ee02f16732fd28529e89ac9c2e58ed6f0
SHA256: 74855811f6e1277c441f3e7c6e342e1cf39e60bf42d9e8b7796c95f0fb4ee638
SHA512: af8cafc0e95239be944a026e5e57c6d7ab1e90f8b51d66a6a6593e47f2c7f4cf17b1f1111b7c99a3f8ae6c92ccbae310c49090dcc5c33d82716950d8737fa4e3
Homepage: https://cran.r-project.org/package=ggvenn
Description: CRAN Package 'ggvenn' (Draw Venn Diagram by 'ggplot2')
 An easy-to-use way to draw pretty venn diagram by 'ggplot2'.

Package: r-cran-ggvenndiagram
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11227
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-aplot, r-cran-venn, r-cran-yulab.utils, r-cran-forcats
Suggests: r-cran-testthat, r-cran-knitr, r-cran-plotly, r-cran-rcolorbrewer, r-cran-shiny, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ggvenndiagram_1.5.4-1.ca2004.1_all.deb
Size: 3806596
MD5sum: 1ed286be2be2e96c5f7abc0d2d69a421
SHA1: da619a6cf0f5d57c09e6f26153e66ccae948f4ea
SHA256: a54d40ccbb457d7ee5ecf59784c3421ddbe9e482e9f55affcb30bb9bda5280dc
SHA512: 34f2537d1af0bf9aeab412afc8989ce3c3d6ba390d87dc085df9926febefa1b0d668ce3124c08992bf2e85920debd7604ae9e7417b436dbf6a9167d036e23198
Homepage: https://cran.r-project.org/package=ggVennDiagram
Description: CRAN Package 'ggVennDiagram' (A 'ggplot2' Implement of Venn Diagram)
 Easy-to-use functions to generate 2-7 sets Venn or upset plot in publication
 quality.  'ggVennDiagram' plot Venn or upset using well-defined geometry
 dataset and 'ggplot2'. The shapes of 2-4 sets Venn use circles and ellipses,
 while the shapes of 4-7 sets Venn use irregular polygons (4 has both forms),
 which are developed and imported from another package 'venn', authored by
 Adrian Dusa. We provided internal functions to integrate shape data with
 user provided sets data, and calculated the geometry of every
 regions/intersections of them, then separately plot Venn in four components,
 set edges/labels, and region edges/labels.  From version 1.0, it is possible
 to customize these components as you demand in ordinary 'ggplot2' grammar.
 From version 1.4.4, it supports unlimited number of sets, as it can draw a
 plain upset plot automatically when number of sets is more than 7.

Package: r-cran-ggversa
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ggversa_0.0.1-1.ca2004.1_all.deb
Size: 211276
MD5sum: 6d9bae4512c4c1c77c1a3417504dec86
SHA1: d82e1f8023b3e08ab4f06cce07bfbed7a0dc8855
SHA256: 7905c8640a37e6e5b77cbcf610dc7cf235626daaa681823a43111de49a371f92
SHA512: 338c9fe183ef62dfb644e4a9ff176b279e9ba07ca4a66b656c783a2b368cdd8bdf7f01fd691229bec1375a9591ddff2b519840bc9b728ab2c6beff05da9b527c
Homepage: https://cran.r-project.org/package=ggversa
Description: CRAN Package 'ggversa' (Graficas Versatiles Con 'ggplot2')
 A collection of datasets for the upcoming book "Graficas versatiles con
 ggplot: Analisis visuales de datos", by Raymond L. Tremblay and Julian
 Hernandez-Serano.

Package: r-cran-ggvfields
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1876
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-farver, r-cran-tibble, r-cran-numderiv, r-cran-desolve, r-cran-scales, r-cran-cli
Suggests: r-cran-ggdensity, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggvfields_1.0.0-1.ca2004.1_all.deb
Size: 1584296
MD5sum: 54287a34335f673a46d9bd1d236426f8
SHA1: 22b2b900ad153c6e945ba017ef8dfc0ad62d9e52
SHA256: 834d43513a77ff59b78f9c1a43cc995f604ec0129a359e6e22222a8c225735d6
SHA512: b36690386d0ae7d742377e3bf0cbc60299c1af91d5056c1a4fa665b14bf114a31e5cc2f9099e1f287c4a8766eaf6374ff6e907686c1bc3e65173f5e5a2ff03ac
Homepage: https://cran.r-project.org/package=ggvfields
Description: CRAN Package 'ggvfields' (Vector Field Visualizations with 'ggplot2')
 A 'ggplot2' extension for visualizing vector fields in two-dimensional
 space. Provides flexible tools for creating vector and stream field layers,
 visualizing gradients and potential fields, and smoothing vector and scalar
 data to estimate underlying patterns.

Package: r-cran-ggview
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-png
Filename: pool/dists/focal/main/r-cran-ggview_0.2.1-1.ca2004.1_all.deb
Size: 27076
MD5sum: ee654e15c86e7ff1798055b90ca963eb
SHA1: bdff4c03008415b070830025d09131862eea0a09
SHA256: a9e0420fa75aa067eb720793061b98ce2e7c800ad0eac190d9c7563bf135a105
SHA512: 2b61d33c7a73cba14dd46fa18d03ad69120d41dbc362618e541832f50926720ec42e0c61cdbde97bbe9a1276d53c581b70e015ef857f2cd7eb1214cfd472f7bf
Homepage: https://cran.r-project.org/package=ggview
Description: CRAN Package 'ggview' ('ggplot2' Picture Previewer)
 Preview what a 'ggplot2' plot would look like if you save it to a file.
 Attach picture dimensions as a canvas() element and get an instant preview.
 These dimensions will then be used when you save the plot.

Package: r-cran-ggvis
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2856
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-htmltools, r-cran-jsonlite, r-cran-magrittr, r-cran-rlang, r-cran-shiny
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-mass, r-cran-mgcv, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ggvis_0.4.9-1.ca2004.1_all.deb
Size: 1015980
MD5sum: 07924b087d4747f3f2e2b5c7b52a2a1d
SHA1: d45c31e9185a0dc6dd0d09e0ac1afce8feddce12
SHA256: fec1d74504991544085e6183512e6273641a607ac79d9d3116f5e31cc5b29f2d
SHA512: ddc7d5b9d6576765b6397ff9b611095c722cfd2ebadde3b7a461177d2a50cf4ff4e652b52edca48507f10dc030ab22fff27eeabe3d411c9cdb103a6d3f81b8cf
Homepage: https://cran.r-project.org/package=ggvis
Description: CRAN Package 'ggvis' (Interactive Grammar of Graphics)
 An implementation of an interactive grammar of graphics, taking the best
 parts of 'ggplot2', combining them with the reactive framework of 'shiny'
 and drawing web graphics using 'vega'.

Package: r-cran-ggvolcano
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 763
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-ggplot2, r-cran-ggrepel, r-cran-golem, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ggvolcano_0.1.4-1.ca2004.1_all.deb
Size: 287748
MD5sum: 0fdb8115c2ae4e0dcca3bff62fde5730
SHA1: 28e016ffe60b943e2e5e2c2a47852cf3f3a139ce
SHA256: 9e05234a767c45acffab0f31dfa4ad2d3d855a319324918b6b22d062a76f06c9
SHA512: 9c6ff6c45ab2149fc7e6d05a29fdabbaa3095616774de117a149ca0523a79df4d9a9d45ff048660299d34cfd55f04a3e014ed2939df1b3514c03a4fdcef17394
Homepage: https://cran.r-project.org/package=ggvolcano
Description: CRAN Package 'ggvolcano' (Publication-Ready Volcano Plots)
 Provides publication-ready volcano plots for visualizing differential
 expression results, commonly used in RNA-seq and similar analyses. This tool
 helps create high-quality visual representations of data using the 'ggplot2'
 framework Wickham (2016) <doi:10.1007/978-3-319-24277-4>.

Package: r-cran-ggvoronoi
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1935
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-deldir, r-cran-sp, r-cran-rgeos, r-cran-raster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggmap, r-cran-dplyr, r-cran-scales, r-cran-testthat, r-cran-vdiffr, r-cran-mapproj
Filename: pool/dists/focal/main/r-cran-ggvoronoi_0.8.5-1.ca2004.1_all.deb
Size: 1765120
MD5sum: 0fbfa10a356c763800d5de1b42ff2793
SHA1: d5ded0cb8d09dc12170fcbf857b851136a2c57e0
SHA256: f1d5f9ac17e7797ad3c808f53f2bc1590f1770e07f0eef0eb9f478235a2fdc43
SHA512: 66aebc8df23915afc40775d7c1e36e455146425d54018ddf5a8dae3950948d5e520b6a8be96f58e82d5cae393263279ae868effaeac40fefc9562d7a779ab0b7
Homepage: https://cran.r-project.org/package=ggvoronoi
Description: CRAN Package 'ggvoronoi' (Voronoi Diagrams and Heatmaps with 'ggplot2')
 Easy creation and manipulation of Voronoi diagrams using 'deldir' with
 visualization in 'ggplot2'. Convenient functions are provided to create
 nearest neighbor diagrams and heatmaps. Diagrams are computed with 'deldir'
 and processed to work with the 'sp' framework. Results are provided in a
 convenient spatial data structure and displayed with 'ggplot2'. An outline
 can be provided by the user to specify the spatial domain of interest.

Package: r-cran-ggx
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sets, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ggx_0.1.1-1.ca2004.1_all.deb
Size: 374288
MD5sum: 43675a42fbd9c3de9631c03e649b829d
SHA1: f045d97b197e6d1b3b548da4f252fa32177df4b5
SHA256: 2a2370457c330672d6e6dd7cba54e2345b3d4ea88255c8628382603a506efdbd
SHA512: e9d270d645ab751f33859560bfb507a54624f234fbb06cfe4c273c0aaf5057ca7026f7e208d8175c617cb82c1e3fc22cad919674129d8755cacb017b62ef6cd2
Homepage: https://cran.r-project.org/package=ggx
Description: CRAN Package 'ggx' (A Natural Language Interface to 'ggplot2')
 The 'ggplot2' package is the state-of-the-art toolbox for creating and
 formatting graphs. However, it is easy to forget how certain formatting
 commands are named and sometimes users find themselves asking: How do you
 rotate the x-axis labels again? Or how do you hide the legend...? This
 package allows users to issue natural language commands related to
 theme-related styling of plots (colors, font size and such), which then are
 translated into valid 'ggplot2' commands.

Package: r-cran-gh
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-gitcreds, r-cran-glue, r-cran-httr2, r-cran-ini, r-cran-jsonlite, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-connectcreds, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rprojroot, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gh_1.5.0-1.ca2004.1_all.deb
Size: 118496
MD5sum: f066bc63e4da5ccd3d2ca67be3d5492a
SHA1: bdcbec957f6a68d79e980e319b6f362a52d96e41
SHA256: e61012b017840aa007d045b4d4209e3898a7a3a647da0c8d1f857bc41cffeb52
SHA512: 4e32b5eddbc2d2c082c49d00677ddf2e65a1498375fb44538920dc76dcb02561b8cdcbb7a63061ab18b12cb3127c10cc818ff32f967c5d6ac45ea11bf581ba50
Homepage: https://cran.r-project.org/package=gh
Description: CRAN Package 'gh' ('GitHub' 'API')
 Minimal client to access the 'GitHub' 'API'.

Package: r-cran-ghap
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1059
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-pedigreemm, r-cran-sparseinv, r-cran-e1071, r-cran-class, r-cran-data.table, r-cran-stringi
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ghap_3.0.0-1.ca2004.1_all.deb
Size: 1013432
MD5sum: c7e97b29e42c992de00fcb14ead945fd
SHA1: d13ee921a283b000b58a337e6989c001bb93ff6e
SHA256: 100391c14c5347bf066630a95880a82b88b0cc05471c72d16678fcec2ab8eba3
SHA512: cb44738d56fc6b3e9aa8489d6b697e56e99c2d6909c8bf5cb92a14466a276c92029586a460b0415e11debac783d7ff792ef800dfc73a6028e1d64fd339e0981d
Homepage: https://cran.r-project.org/package=GHap
Description: CRAN Package 'GHap' (Genome-Wide Haplotyping)
 Haplotype calling from phased marker data. Given user-defined haplotype
 blocks (HapBlock), the package identifies the different haplotype alleles
 (HapAllele) present in the data and scores sample haplotype allele genotypes
 (HapGenotype) based on HapAllele dose (i.e. 0, 1 or 2 copies). The output is
 not only useful for analyses that can handle multi-allelic markers, but is
 also conveniently formatted for existing pipelines intended for bi-allelic
 markers. The package was first described in Bioinformatics by Utsunomiya et
 al. (2016, <doi:10.1093/bioinformatics/btw356>). Since the v2 release, the
 package provides functions for unsupervised and supervised detection of
 ancestry tracks. The methods implemented in these functions were described
 in an article published in Methods in Ecology and Evolution by Utsunomiya et
 al. (2020, <doi:10.1111/2041-210X.13467>). The source code for v3 was
 modified for improved performance and inclusion of new functionality,
 including analysis of unphased data, runs of homozygosity, sampling methods
 for virtual gamete mating, mixed model fitting and GWAS.

Package: r-cran-ghapps
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gh, r-cran-jose, r-cran-openssl
Filename: pool/dists/focal/main/r-cran-ghapps_1.1.1-1.ca2004.1_all.deb
Size: 21824
MD5sum: f5dc00c3b5593222f1153cbfafe51c98
SHA1: 02821889ddc4b303d1b9d90164d2192973e3dc77
SHA256: 0b35e16e59da84d98e57929dffe938eb78de3db6620bafabaf70ca4951b496c6
SHA512: ad4c15f335952d4a8926d0c65ad1b14036da2af0e03fd6464b9e4ccfa60af434eb287deac6d6d867699a69f73d3cad5674c1c6ece4f6fd2c8becf2e0ebc20e39
Homepage: https://cran.r-project.org/package=ghapps
Description: CRAN Package 'ghapps' (Authenticate as a 'GitHub' App)
 'GitHub' apps provide a powerful way to manage fine grained programmatic
 access to specific 'git' repositories, without having to create dummy users,
 and which are safer than a personal access token for automated tasks. This
 package extends the 'gh' package to let you authenticate and interact with
 'GitHub' <https://docs.github.com/en/rest/overview> in 'R' as an app.

Package: r-cran-ghat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1892
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rrblup
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ghat_0.2.0-1.ca2004.1_all.deb
Size: 1861644
MD5sum: 6706fff1a3aa16b13d52696526409aa0
SHA1: 4e93eb6af4856aa36e9c1f31e7c6ab8ac2a03973
SHA256: 91229fada24767158445f0c6846a7734b22a2a52f9ce4408aaa67541a9083c88
SHA512: a0bfe0725a4093db174e68ad009c6525fa942737c7e00821e59e27df625f7fb283f45c3883dc8aa27f1b4b88f19c0fcff72e2b31185867a740c00664b09d0784
Homepage: https://cran.r-project.org/package=Ghat
Description: CRAN Package 'Ghat' (Quantifying Evolution and Selection on Complex Traits)
 Functions are provided for quantifying evolution and selection on complex
 traits.  The package implements effective handling and analysis algorithms
 scaled for genome-wide data and calculates a composite statistic, denoted
 Ghat, which is used to test for selection on a trait. The package provides a
 number of simple examples for handling and analysing the genome data and
 visualising the output and results.  Beissinger et al., (2018)
 <doi:10.1534/genetics.118.300857>.

Package: r-cran-ghclass
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1766
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-fs, r-cran-gh, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-whisker, r-cran-withr, r-cran-dplyr, r-cran-cli, r-cran-lifecycle
Suggests: r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-sodium, r-cran-styler, r-cran-usethis, r-cran-gert, r-cran-readr, r-cran-gitcreds
Filename: pool/dists/focal/main/r-cran-ghclass_0.3.1-1.ca2004.1_all.deb
Size: 1113584
MD5sum: 37697658abd12bbef4fd3ca8c1af9f73
SHA1: 26d3863ad12ce79ecdde7c78f7e741e85c3a0b61
SHA256: 582b7c4698ffdb24e8d8a3a62003776040f1fbf4b3466605889601c21c3c86a9
SHA512: 2220be4c9404f004f638a0b9c716eb4894f25b5c731197f39657f3bf7e432ec0c50c8f857f5f04378a01c8fb704fbc607deb37dd1a75f9fe8ade57db4287882c
Homepage: https://cran.r-project.org/package=ghclass
Description: CRAN Package 'ghclass' (Tools for Managing Classes on GitHub)
 Interface for the GitHub API that enables efficient management of courses on
 GitHub. It has a functionality for managing organizations, teams,
 repositories, and users on GitHub and helps automate most of the tedious and
 repetitive tasks around creating and distributing assignments.

Package: r-cran-ghcnr
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 534
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-tidyselect, r-cran-httr2, r-cran-terra, r-cran-rlang, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ghcnr_1.4.5-1.ca2004.1_all.deb
Size: 373424
MD5sum: 54f6219ccbee5afa0aea287f4aecfba6
SHA1: dde18892ff037579a2dee72b7624f2d0d2c9e5f7
SHA256: 39d9468d420b6987d47ad733291cbafde56a12d63679f6e7e12343d6dd539a12
SHA512: 199f0b96ae8002621a93fd1703f5a2759499f5b891bbd0b0e14946a3a723a97f5e871cd3f6f284e8461642d1c8be15f3bd63424da76664527164a13523b7dfbb
Homepage: https://cran.r-project.org/package=GHCNr
Description: CRAN Package 'GHCNr' (Download Weather Station Data from GHCNd)
 The goal of 'GHCNr' is to provide a fast and friendly interface with the
 Global Historical Climatology Network daily (GHCNd) database, which contains
 daily summaries of weather station data worldwide
 (<https://www.ncei.noaa.gov/products/land-based-station/global-historical-climatology-network-daily>).
 GHCNd is accessed through the web API
 <https://www.ncei.noaa.gov/access/services/data/v1>. 'GHCNr' main
 functionalities consist of downloading data from GHCNd, filter it, and to
 aggregate it at monthly and annual scales.

Package: r-cran-ghee
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gh, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ghee_0.1.0-1.ca2004.1_all.deb
Size: 55592
MD5sum: 45df50283f415433eb15e32ecf88abcb
SHA1: 672191f2122d8041ab8cea02750ff6675bae68b4
SHA256: d471905168de9d99ed8e706cbd0ca554a99cd60767b7fa35815a80ef2a266f99
SHA512: 95404fcc62b71613cd01efbf0f2b3a8c081e063382564c7489ec6b538217ee65dc8922c1c7d9cac5a0a03042d68869a0617692c1c4adcfb8dbff8214ca16d769
Homepage: https://cran.r-project.org/package=ghee
Description: CRAN Package 'ghee' (Provides a Lightweight Interface for 'GitHub' through R)
 Provides a user friendly wrapper for the 'gh' package facilitating easy
 access to the REST API for 'GitHub'. Includes support for common tasks such
 as creating and commenting on issues, inviting collaborators, and more.

Package: r-cran-ghibli
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 888
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-prismatic
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-crayon, r-cran-cowplot, r-cran-codemeta
Filename: pool/dists/focal/main/r-cran-ghibli_0.3.4-1.ca2004.1_all.deb
Size: 762252
MD5sum: 6fc449e40b204ab0e9df678721d12f80
SHA1: 7bb7c18caf56d003d084c598bad857d8f79a8730
SHA256: 161ea33babd49c012c1991494c2dacaad788ab458cc63badf5ce360ae89ac63e
SHA512: aeb6879e86049c67207fa4a51881b5975063388baeb17e2aea459a71b4af6674c507e4555eff68b9647eeccc075c226a1a4510f083a17d8e262460cf52d1afd8
Homepage: https://cran.r-project.org/package=ghibli
Description: CRAN Package 'ghibli' (Studio Ghibli Colour Palettes)
 Colour palettes inspired by Studio Ghibli
 <https://en.wikipedia.org/wiki/Studio_Ghibli> films, ported to R for your
 enjoyment.

Package: r-cran-ghost
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Filename: pool/dists/focal/main/r-cran-ghost_0.1.0-1.ca2004.1_all.deb
Size: 106084
MD5sum: 4be1d7e6c6f4d837abd375db45efd1ef
SHA1: 78752a3d33b3c3b30cab313ffc30391fdb3153e7
SHA256: e47c602df93a941556c19c84b7b335346267c4611b9a65205f92856b32647e99
SHA512: ddd563a34a6c66353ebc6385115f128840a325e586aa161833d606714f85304a80d23b0fc171b64c969e50dbcff73bad98d1716dbc19737fc745455573da3e88
Homepage: https://cran.r-project.org/package=Ghost
Description: CRAN Package 'Ghost' (Missing Data Segments Imputation in Multivariate Streams)
 Helper functions provide an accurate imputation algorithm for reconstructing
 the missing segment in a multi-variate data streams. Inspired by single-shot
 learning, it reconstructs the missing segment by identifying the first
 similar segment in the stream. Nevertheless, there should be one column of
 data available, i.e. a constraint column. The values of columns can be
 characters (A, B, C, etc.). The result of the imputed dataset will be
 returned a .csv file. For more details see Reza Rawassizadeh (2019)
 <doi:10.1109/TKDE.2019.2914653>.

Package: r-cran-ghostknockoff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-cvxr, r-cran-rdsdp, r-cran-gtools, r-cran-seqminer, r-cran-rspectra, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-ghostknockoff_0.1.0-1.ca2004.1_all.deb
Size: 51268
MD5sum: 90598efe0edcfa5ef25dab00f9fcd509
SHA1: bc4fa0865b5669462e90f04997e04e4b55d9b324
SHA256: e69e5764e435be4f157200b40ebfc2510e73b3d0279cad071c1ba9ed8afc8482
SHA512: 0a154e17fe0acc76ec051a9d27e5ce6f191291567089936da14015cfefd70d24f7b4b5fc88d8d0ff7fbf796b02bee81007aa147189fe6e124cab38bcafe10c74
Homepage: https://cran.r-project.org/package=GhostKnockoff
Description: CRAN Package 'GhostKnockoff' (The Knockoff Inference Using Summary Statistics)
 Functions for multiple knockoff inference using summary statistics, e.g.
 Z-scores. The knockoff inference is a general procedure for controlling the
 false discovery rate (FDR) when performing variable selection. This package
 provides a procedure which performs knockoff inference without ever
 constructing individual knockoffs (GhostKnockoff). It additionally supports
 multiple knockoff inference for improved stability and reproducibility.
 Moreover, it supports meta-analysis of multiple overlapping studies.

Package: r-cran-ghql
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-r6, r-cran-graphql
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ghql_0.1.0-1.ca2004.1_all.deb
Size: 101768
MD5sum: f749d512362fda43d6645e3f72695881
SHA1: eea0c0dc8ef2ec42f7a75773f03b90c6ea1b8811
SHA256: 1ab1bc83d453f0a1daf9b2273c2ac745145df7492336a5a2b935cff99f7bce97
SHA512: 7791094fa5e4312e056f4ad3720117575612fd9a1f9ba8ffe29d0a0d9ef98fd78cc58403e8e9cfa836012f47587426d20d3829b7fbd973fe9b3b6676dbda110c
Homepage: https://cran.r-project.org/package=ghql
Description: CRAN Package 'ghql' (General Purpose 'GraphQL' Client)
 A 'GraphQL' client, with an R6 interface for initializing a connection to a
 'GraphQL' instance, and methods for constructing queries, including
 fragments and parameterized queries. Queries are checked with the
 'libgraphqlparser' C++ parser via the 'gaphql' package.

Package: r-cran-ghs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1099
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ghs_0.1-1.ca2004.1_all.deb
Size: 1065612
MD5sum: 2ee81e5a92aa2f36d7e9c41d3c948b73
SHA1: 17970da371d6d7487ddb097d7686bfd2615e80c5
SHA256: 6845118af22c69297317db190f278b002928f27c23bf5185825ab81485c15391
SHA512: b4ab3bb44fdc5d81abf3df727d9ae2d330850107a9dba73cad2990823c9aaf13d35cdf09e81dc5e93805b5dc0643cdde6789d4c4d5ff9c9052cb8386feed8237
Homepage: https://cran.r-project.org/package=GHS
Description: CRAN Package 'GHS' (Graphical Horseshoe MCMC Sampler Using Data Augmented BlockGibbs Sampler)
 Draw posterior samples to estimate the precision matrix for multivariate
 Gaussian data. Posterior means of the samples is the graphical horseshoe
 estimate by Li, Bhadra and Craig(2017) <arXiv:1707.06661>. The function uses
 matrix decomposition and variable change from the Bayesian graphical lasso
 by Wang(2012) <doi:10.1214/12-BA729>, and the variable augmentation for
 sampling under the horseshoe prior by Makalic and Schmidt(2016)
 <arXiv:1508.03884>. Structure of the graphical horseshoe function was
 inspired by the Bayesian graphical lasso function using blocked sampling,
 authored by Wang(2012) <doi:10.1214/12-BA729>.

Package: r-cran-ghypernet
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2079
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbmcapply, r-cran-plyr, r-cran-numbers, r-cran-purrr, r-cran-extradistr, r-cran-dplyr, r-cran-rlang, r-cran-reshape2, r-cran-rootsolve, r-cran-texreg
Suggests: r-cran-biasedurn, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ghypernet_1.1.0-1.ca2004.1_all.deb
Size: 1117024
MD5sum: 84086975eb58eb02c36cd76163669a68
SHA1: 62ac94455d348130cb7bed1f529dddf6874640c5
SHA256: 1f5097346a1ea851b76431238049c664c0e794e4144b5b95a026b266b0b54699
SHA512: aa0f75f4cfd4504c603691c41b23ae9c3441a813d426d491c34d21b0a626c8698e889553493e5c49bf3b611e403845b64b133485dfb2c7b5ce9633f277d72891
Homepage: https://cran.r-project.org/package=ghypernet
Description: CRAN Package 'ghypernet' (Fit and Simulate Generalised Hypergeometric Ensembles of Graphs)
 Provides functions for model fitting and selection of generalised
 hypergeometric ensembles of random graphs (gHypEG).  To learn how to use it,
 check the vignettes for a quick tutorial.  Please reference its use as
 Casiraghi, G., Nanumyan, V. (2019) <doi:10.5281/zenodo.2555300> together
 with those relevant references from the one listed below.  The package is
 based on the research developed at the Chair of Systems Design, ETH Zurich.
 Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer, F. (2016)
 <arXiv:1607.02441>.  Casiraghi, G., Nanumyan, V., Scholtes, I., Schweitzer,
 F. (2017) <doi:10.1007/978-3-319-67256-4_11>.  Casiraghi, G., (2017)
 <arXiv:1702.02048> Brandenberger, L., Casiraghi, G., Nanumyan, V.,
 Schweitzer, F. (2019) <doi:10.1145/3341161.3342926> Casiraghi, G. (2019)
 <doi:10.1007/s41109-019-0241-1>.  Casiraghi, G., Nanumyan, V. (2021)
 <doi:10.1038/s41598-021-92519-y>.  Casiraghi, G. (2021)
 <doi:10.1088/2632-072X/ac0493>.

Package: r-cran-giacr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 18415
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chromote, r-cran-jsonlite, r-cran-pingr, r-cran-processx, r-cran-r6
Filename: pool/dists/focal/main/r-cran-giacr_1.0.1-1.ca2004.1_all.deb
Size: 4375400
MD5sum: ea0b4c2492d62e6aa63a327140d3b3f0
SHA1: 1e23bb1ed0f9e17677d79258198e7cfab1597b6d
SHA256: 35e9de4041ab747d7f83091dfc2060972062b816bd5b9cb50012f81eca3eeb75
SHA512: a0a0aa11a6ac902274a150bfdb00671e2c9cab264317ef6ee625d5245dffddb914f05bec3b09d89c2003681a63bffbcf4ac4fb227b41f0f2f41051c5e9d4c552
Homepage: https://cran.r-project.org/package=giacR
Description: CRAN Package 'giacR' (Interface to the Computer Algebra System 'Giac')
 'Giac'
 <https://www-fourier.ujf-grenoble.fr/~parisse/giac/doc/en/cascmd_en/cascmd_en.html>
 is a general purpose symbolic algebra software. It powers the graphical
 interface 'Xcas'. This package allows to execute 'Giac' commands in 'R'.

Package: r-cran-giant
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1330
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-fdrtool, r-cran-st, r-bioc-limma, r-bioc-globaltest, r-bioc-deseq2, r-bioc-globalancova
Filename: pool/dists/focal/main/r-cran-giant_1.3.4-1.ca2004.1_all.deb
Size: 1280368
MD5sum: e04501f93ea625adbefb4cbf69050be1
SHA1: 1d937098d586de018de3c9d00e4dd01222e6436f
SHA256: 931d404a2d9bd3fc56032a4acbbdb346c63bb53a4e93fe2455cdfd77e6bc5a67
SHA512: 243701065542faff134395865206ad03d0fa9d1a137680c8cd50cac888f908623a6afef895bd2349e4ef7886675a1dfce420de1892892e2134af4f1d5ad2f500
Homepage: https://cran.r-project.org/package=GiANT
Description: CRAN Package 'GiANT' (Gene Set Uncertainty in Enrichment Analysis)
 Toolbox for various enrichment analysis methods and quantification of
 uncertainty of gene sets, Schmid et al. (2016)
 <doi:10.1093/bioinformatics/btw030>.

Package: r-cran-gibble
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gibble_0.4.0-1.ca2004.1_all.deb
Size: 241696
MD5sum: 1770bdf18ecef9a32b6d56d6eb12abe1
SHA1: 065b1e1fc8aec59ec488d1afa54427985894c237
SHA256: 906b67eec86389a920c086ef4229ce18b1223e595d48cadc74743c70dd005b7b
SHA512: ba1e5bb5f7385b676c6491ac226ef65c153ea4a0a77dadaf5a6c4bf2f1a79e5e52c95a8f09cd3342743dcea40aa154a142b4dedc8f2ed79501ef2cfd9de78b84
Homepage: https://cran.r-project.org/package=gibble
Description: CRAN Package 'gibble' (Geometry Decomposition)
 Build a map of path-based geometry, this is a simple description of the
 number of parts in an object and their basic structure. Translation and
 restructuring operations for planar shapes and other hierarchical types
 require a data model with a record of the underlying relationships between
 elements. The gibble() function creates a geometry map, a simple record of
 the underlying structure in path-based hierarchical types. There are methods
 for the planar shape types in the 'sf' and 'sp' packages and for types in
 the 'trip' and 'silicate' packages.

Package: r-cran-gibbs.met
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gibbs.met_1.1-3-1.ca2004.1_all.deb
Size: 17612
MD5sum: 917867c3a0865dd60df8394c1516ff71
SHA1: a2b7f52fc45f0733817c1811a3174ae2d8e44cee
SHA256: 9a48950a96d8c06521de893df37b79ca0bb85ca385e217c55faebe0ed3204219
SHA512: b10493e4c2891cdef75ef4f43b97065afb1706c70bd99a60a48f7e0604f95b89fe14b3cf8e6490e4d142771bcda418ccdd77bf2a44af915547af058fd813ef9a
Homepage: https://cran.r-project.org/package=gibbs.met
Description: CRAN Package 'gibbs.met' (Naive Gibbs Sampling with Metropolis Steps)
 This package provides two generic functions for performing Markov chain
 sampling in a naive way for a user-defined target distribution, which
 involves only continuous variables. The function "gibbs_met" performs Gibbs
 sampling with each 1-dimensional distribution sampled with Metropolis update
 using Gaussian proposal distribution centered at the previous state.  The
 function "met_gaussian" updates the whole state with Metropolis method using
 independent Gaussian proposal distribution centered at the previous state.
 The sampling is carried out without considering any special tricks for
 improving efficiency. This package is aimed at only routine applications of
 MCMC in moderate-dimensional problems.

Package: r-cran-gibbsacov
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gibbsacov_1.1-1.ca2004.1_all.deb
Size: 35796
MD5sum: 438a79080a6336b0bd2ec7cd8a10163b
SHA1: d17b502e6df354258dbbf85d085bd7c44cd178bc
SHA256: 54219e2b6d848ffae32c6ea433f61b85a7908d6db46a8ab0cd7307160c7299ef
SHA512: 9aec3e98df7605b032563e6cd46f71f15d3726ea1594a605c838554fd36dd2ebfe11753371075a0542f3b577e9a334dff780259042b3ebf8a62f949cb207d20c
Homepage: https://cran.r-project.org/package=GibbsACOV
Description: CRAN Package 'GibbsACOV' (Gibbs Sampler for One-Way Mixed-Effects ANOVA and ANCOVA Models)
 Gibbs sampler for one-way linear mixed-effects models (ANOVA, ANCOVA) with
 homoscedasticity of errors and uniform priors.

Package: r-cran-gic
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-cluster, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gic_1.0.0-1.ca2004.1_all.deb
Size: 22700
MD5sum: 5ffc721c13e8cf3f4a1d1e4e081ff7e9
SHA1: 1a2afdbf462d325fcd85d5aeae755caba8a9aff2
SHA256: 8dc2575f41b416f8d05416f4ab242b26c8926d66604681076034241e27931eb4
SHA512: bc0afef1dcbac94733f9efe9a181f1d7922d691ca0eba9223df68d6a58dd351166d0446dd3f211b606a3212d2fa157fcbff4f2fc3f229aedf0dfb3233f5f1c9d
Homepage: https://cran.r-project.org/package=GIC
Description: CRAN Package 'GIC' (A General Iterative Clustering Algorithm)
 An iterative algorithm that improves the proximity matrix (PM) from a random
 forest (RF) and the resulting clusters as measured by the silhouette score.

Package: r-cran-gie
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2635
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-stringr
Suggests: r-cran-rvest, r-cran-testthat, r-cran-textutils, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-gie_0.1.3-1.ca2004.1_all.deb
Size: 2650180
MD5sum: 2e524f7f0c765dd3ce8e4a327fa248ad
SHA1: 8e6b47bc4c8355f980fc6012886d3e1326e651bd
SHA256: 54c07a58544d85775bff3e418348ada5db42bda3e0db1bb05792128d4f85f02b
SHA512: 9256d428e2c93ee704a0c28e927f8280627842dee39561eeeadca9c2df70d51c264d4d101219775b781983dc75aabfc8aa89ee3fe624b6f0f2e255e98617344b
Homepage: https://cran.r-project.org/package=gie
Description: CRAN Package 'gie' (API Wrapper for the Natural Gas Transparency Platforms of GasInfrastructure Europe)
 Providing access to the API for Gas Infrastructure Europe's natural gas
 transparency platforms <https://agsi.gie.eu/> and <https://alsi.gie.eu/>.
 Lets the user easily download metadata on companies and gas storage units
 covered by the API as well as the respective data on regional, country,
 company or facility level.

Package: r-cran-giedata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-curl
Suggests: r-cran-vcr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-giedata_0.1.1-1.ca2004.1_all.deb
Size: 52256
MD5sum: cd9c88d19090746dbc11db574150f8a8
SHA1: ab2ea80c1b278b0771328f09ad41012829558c7b
SHA256: 9c96a8c8e9c9adb72e736353f22afe3ace14bd93e8f8f6ef37bc9bff27553b76
SHA512: b52b695aa74402ad5be9da637c60e0588e32c6c4601609752dc8730f6ac5f414b2af111fb015a1d4835d39d6f25abd701c5ab7d5d8652e1af5715da16e0c85d3
Homepage: https://cran.r-project.org/package=giedata
Description: CRAN Package 'giedata' (API Wrapper for GIE's AGSI+/ALSI+ Natural Gas StorageTransparency Platform)
 Functions to access the API for Gas Infrastructure Europe's (GIE)
 AGSI+/ALSI+ natural gas storage transparency platform
 (<https://agsi.gie.eu/> and <https://alsi.gie.eu/>). Lets the user easily
 download metadata on companies and gas storage units covered by the API as
 well as the respective data on regional, country, company or facility level.

Package: r-cran-gift
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6441
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-jsonlite, r-cran-phytools, r-cran-purrr, r-cran-sf, r-cran-tidyr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-patchwork, r-cran-testthat, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-scales
Filename: pool/dists/focal/main/r-cran-gift_1.3.3-1.ca2004.1_all.deb
Size: 5257076
MD5sum: fc372fb8be9202d40ee022804895f11c
SHA1: c585bd6c8fccdd8e60084980210e8949ed55bf9b
SHA256: 6a46bee8b1501cd22ab6f44b2aab2fbfc7dd3c1d4c2730c47536836c4bcc2450
SHA512: 7f3cd761c437af665d299f607ad773163ebf0fecc36e57190de15a0fa5486021c96754b9498f19841f9be7920ae9794b954c33d94cd4c89738ee2efc9b5964df
Homepage: https://cran.r-project.org/package=GIFT
Description: CRAN Package 'GIFT' (Access to the Global Inventory of Floras and Traits (GIFT))
 Retrieving regional plant checklists, species traits and distributions, and
 environmental data from the Global Inventory of Floras and Traits (GIFT).
 More information about the GIFT database can be found at
 <https://gift.uni-goettingen.de/about> and the map of available floras can
 be visualized at <https://gift.uni-goettingen.de/map>. The API and
 associated queries can be accessed according the following scheme:
 <https://gift.uni-goettingen.de/api/extended/index2.0.php?query=env_raster>.

Package: r-cran-gifti
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-base64enc, r-cran-r.utils
Suggests: r-cran-rgl, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gifti_0.8.0-1.ca2004.1_all.deb
Size: 69216
MD5sum: 74aef892c8248d280e63e0faed7f233a
SHA1: 30c6480393e8109c712ba5bfa021fb0ab3039a77
SHA256: 4917c303d0cff86e4f4137d863efb1a60cbd1b4f83a164aede39defd7c1a2c05
SHA512: f67ff6043a390f237d1420a0feb254ec9da526d450b97df7d6e4cb8911a593f4b83a3cf29835d0032623fab20cddd1aaae6049b63d69b64119ac4c9e6c66807e
Homepage: https://cran.r-project.org/package=gifti
Description: CRAN Package 'gifti' (Reads in 'Neuroimaging' 'GIFTI' Files with Geometry Information)
 Functions to read in the geometry format under the 'Neuroimaging'
 'Informatics' Technology Initiative ('NIfTI'), called 'GIFTI'
 <https://www.nitrc.org/projects/gifti/>.  These files contain surfaces of
 brain imaging data.

Package: r-cran-giftr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-giftr_0.1.0-1.ca2004.1_all.deb
Size: 69288
MD5sum: e111c740d28cbced40f2140e4d22e7b6
SHA1: be19fde327c53039d602818b715af2ba8820fe75
SHA256: c932c6d2daa9d7f8a26f2bd88ae631f7e2ea9b78cd0e1bf2f9bbd4116b3e437d
SHA512: 17583f4a0a2abe1a67ca6520ed1e0ed569e0cd34b4efd42ca4fdb1cefa9c96ea1525c206f9533ebd08ee84e2d58176d0e7836195c1eb438e78dd43906ab0b898
Homepage: https://cran.r-project.org/package=GIFTr
Description: CRAN Package 'GIFTr' (GIFT Questions Format Generator from Dataframes)
 A framework and functions to create 'MOODLE' quizzes. 'GIFTr' takes
 dataframe of questions of four types: multiple choices, numerical, true or
 false and short answer questions, and exports a text file formatted in
 'MOODLE' GIFT format. You can prepare a spreadsheet in any software and
 import it into R to generate any number of questions with 'HTML', 'markdown'
 and 'LaTeX' support.

Package: r-cran-giftwrap
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-namespace, r-cran-processx, r-cran-readr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-giftwrap_0.0.4-1.ca2004.1_all.deb
Size: 192160
MD5sum: 726183bec80f8061f8771007917adfe5
SHA1: 2e96390a794598db962d868ce1d5912be83cc8ea
SHA256: f9c26861c8491b7be98ea7d4eecfbc7d4adfcbeb1d477748180fc264f17d8799
SHA512: 6afd27f79656834941509e239b1cf7dff8695d0cb2e81a0084218511443578f0b0134763b2749065da23c95122d1e35fa3dd4f92e51b4aca887a8d130249a62a
Homepage: https://cran.r-project.org/package=giftwrap
Description: CRAN Package 'giftwrap' (Take Shell Commands and Turn Them into R Functions)
 Wrapping command line functions into R functions, which in turn run the
 command line functions.

Package: r-cran-gillespiessa
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1928
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gillespiessa_0.6.2-1.ca2004.1_all.deb
Size: 1247480
MD5sum: b559a89c37295a73ae4910522981c2df
SHA1: e5ab259bef56a4084f043b7dbbeb3ec45cbeedac
SHA256: 53a5ca8bf8bf91cfc6e7f63bf516dc93378d9730ee72bd9fdf4346b2aa02055d
SHA512: afbb31606922c5d09e4d88e1e964d3bb572772022a3d7cf1bea77b990262c573953f895f31d7edfc437060ed48bde3dba98f15c4c1cc5fcfb2ca2e4cd599113f
Homepage: https://cran.r-project.org/package=GillespieSSA
Description: CRAN Package 'GillespieSSA' (Gillespie's Stochastic Simulation Algorithm (SSA))
 Provides a simple to use, intuitive, and extensible interface to several
 stochastic simulation algorithms for generating simulated trajectories of
 finite population continuous-time model. Currently it implements Gillespie's
 exact stochastic simulation algorithm (Direct method) and several
 approximate methods (Explicit tau-leap, Binomial tau-leap, and Optimized
 tau-leap). The package also contains a library of template models that can
 be run as demo models and can easily be customized and extended. Currently
 the following models are included, 'Decaying-Dimerization' reaction set,
 linear chain system, logistic growth model, 'Lotka' predator-prey model,
 Rosenzweig-MacArthur predator-prey model, 'Kermack-McKendrick' SIR model,
 and a 'metapopulation' SIRS model.  Pineda-Krch et al. (2008)
 <doi:10.18637/jss.v025.i12>.

Package: r-cran-gim
Architecture: all
Version: 0.33.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gim_0.33.1-1.ca2004.1_all.deb
Size: 373680
MD5sum: 775b21746cfd867de62690635f6d61d3
SHA1: 55688be3e6b5dcb45233ca594de7b8f4a55c9208
SHA256: 986db4dcf09b0b974fefb80c6c9a44c614433f6ce181f2a006030e421d66a841
SHA512: aabd087a291cbdf23d55daeafe603313cad150126dba3c76aa67107b613872da21348e5669754d034377734dc1b32e6dae66611e80ef4a1155d196ef0d7ffc71
Homepage: https://cran.r-project.org/package=gim
Description: CRAN Package 'gim' (Generalized Integration Model)
 Implements the generalized integration model, which integrates
 individual-level data and summary statistics under a generalized linear
 model framework. It supports continuous and binary outcomes to be modeled by
 the linear and logistic regression models. For binary outcome, data can be
 sampled in prospective cohort studies or case-control studies. Described in
 Zhang et al. (2020)<doi:10.1093/biomet/asaa014>.

Package: r-cran-gimap
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4958
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-rmarkdown, r-cran-vroom, r-cran-ggplot2, r-cran-magrittr, r-cran-pheatmap, r-cran-purrr, r-cran-janitor, r-cran-stringr, r-cran-httr, r-cran-jsonlite, r-cran-openssl
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-kableextra, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-gimap_1.1.1-1.ca2004.1_all.deb
Size: 2119644
MD5sum: 84d2a575f61982cc19f8091ea0a786fa
SHA1: 6b56f10dbbd1972e3d4ba20d3c0b44678ece32d2
SHA256: a038b318a2c3a720ad7eef5c7ae902d13551ff02d2ec460bb5731184aec6d584
SHA512: 5b460c9e9e4262212cf9f997e36b59db1d28afd07104c687c886387decc747a3fe935e05b0848641192aa6367aa094610a7b5c7ec92e93c92c428044b79e7d52
Homepage: https://cran.r-project.org/package=gimap
Description: CRAN Package 'gimap' (Calculate Genetic Interactions for Paired CRISPR Targets)
 Helps find meaningful patterns in complex genetic experiments. First gimap
 takes data from paired CRISPR (Clustered regularly interspaced short
 palindromic repeats) screens that has been pre-processed to counts table of
 paired gRNA (guide Ribonucleic Acid) reads. The input data will have cell
 counts for how well cells grow (or don't grow) when different genes or pairs
 of genes are disabled. The output of the 'gimap' package is genetic
 interaction scores which are the distance between the observed CRISPR score
 and the expected CRISPR score. The expected CRISPR scores are what we expect
 for the CRISPR values to be for two unrelated genes. The further away an
 observed CRISPR score is from its expected score the more we suspect genetic
 interaction. The work in this package is based off of original research from
 the Alice Berger lab at Fred Hutchinson Cancer Center (2021)
 <doi:10.1016/j.celrep.2021.109597>.

Package: r-cran-gimme
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2023
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lavaan, r-cran-igraph, r-cran-qgraph, r-cran-data.tree, r-cran-miivsem, r-cran-imputets, r-cran-nloptr, r-cran-mass, r-cran-tseries
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gimme_0.9.1-1.ca2004.1_all.deb
Size: 1971456
MD5sum: 543fa60a1a2760943478c3c94d203940
SHA1: c95c20d05360e8601be95438418f0193be922d9e
SHA256: 5abb9de576b04056033810e6a36b3981d64a513349b0c3323f392d0ee7e16fe6
SHA512: b0a7215ff76e114a73d9c895c742e877395f67e0b272e2a41df42f7409b0baef1f3ab8f86dc9673528b8a30e37904d39c2f8489320ded06c2298126c8109d205
Homepage: https://cran.r-project.org/package=gimme
Description: CRAN Package 'gimme' (Group Iterative Multiple Model Estimation)
 Data-driven approach for arriving at person-specific time series models. The
 method first identifies which relations replicate across the majority of
 individuals to detect signal from noise. These group-level relations are
 then used as a foundation for starting the search for person-specific (or
 individual-level) relations. See Gates & Molenaar (2012)
 <doi:10.1016/j.neuroimage.2012.06.026>.

Package: r-cran-gimmegvar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 960
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-graphicalvar, r-cran-here, r-cran-qgraph, r-cran-png
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gimmegvar_0.1.0-1.ca2004.1_all.deb
Size: 198116
MD5sum: 8e957a7ef46c8dd0ca5a0801555bfcda
SHA1: 5be2f89a5ae0c2cbedcdf66c0a3174116e84489d
SHA256: 1887bdc127aed984fa73aec3606388958ec7d0764aa778a08d95d9ad1f3ec1f8
SHA512: 07a992106d891013125680478f8f81d649ffa8f494098a7e56069c21a110658b61c0ed8fcf3f97a58b50be520817dd226fe03283d7f638923384702121804318
Homepage: https://cran.r-project.org/package=GIMMEgVAR
Description: CRAN Package 'GIMMEgVAR' (Group Iterative Multiple Model Estimation with 'graphicalVAR')
 Data-driven approach for arriving at person-specific time series models from
 within a Graphical Vector Autoregression (VAR) framework. The method first
 identifies which relations replicate across the majority of individuals to
 detect signal from noise. These group-level relations are then used as a
 foundation for starting the search for person-specific (or individual-level)
 relations. All estimates are obtained uniquely for each individual in the
 final models. The method for the 'graphicalVAR' approach is found in
 Epskamp, Waldorp, Mottus & Borsboom (2018)
 <doi:10.1080/00273171.2018.1454823>.

Package: r-cran-gimmemyplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-rstatix, r-cran-scales, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gimmemyplot_0.1.0-1.ca2004.1_all.deb
Size: 85724
MD5sum: 2a7e44b06ce484dc10d10d6ff1186585
SHA1: 803d07e9a606842332efc43dcfbe35dbfd4a9b23
SHA256: d1d871dd280f1b5ab49ee3f0032d57cfc7fc0fb7d1e923e2e1a7a448748e61a3
SHA512: 26734a34cdccb4cb93a86e9a4304276381eae30b4bd7a49d988e1bada85cef3ce21f6cda0cbd7cf2600b1804e595f767f91b01a8d2595a06969882742d334fd5
Homepage: https://cran.r-project.org/package=GimmeMyPlot
Description: CRAN Package 'GimmeMyPlot' (Graphical Utilities for Visualizing and Exploring Data)
 Simplifies the process of creating essential visualizations in R, offering a
 range of plotting functions for common chart types like violin plots, pie
 charts, and histograms.  With an intuitive interface, users can effortlessly
 customize colors, labels, and styles, making it an ideal tool for both
 beginners and experienced data analysts. Whether exploring datasets or
 producing quick visual summaries, this package provides a streamlined
 solution for fundamental graphics in R.

Package: r-cran-gimmetools
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-rintrojs, r-cran-easycsv, r-cran-miniui, r-cran-shinywidgets, r-cran-rstudioapi, r-cran-rhandsontable, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-gimmetools_0.1-1.ca2004.1_all.deb
Size: 49968
MD5sum: 5c1c74afcdb68f9e4228d00d4f76b5c2
SHA1: 0474d08809981c2ce20c83cd79875c35abed6b87
SHA256: 51ee2669c07e92e310a165b1cc5b4cf1d6481b566e241ea57e227cbe5b0c153d
SHA512: 9edc02d79b46d047d49d2e80766af5f9cd4cc3403fb62ad5ef948ab6dfcd8508494265bd3094d0806d3650f8b592f3a20d45549c558e0044b552e1b34cab2ad3
Homepage: https://cran.r-project.org/package=gimmeTools
Description: CRAN Package 'gimmeTools' (Supplemental Tools for the 'gimme' R Package)
 Supplemental tools for the 'gimme' R package. It contains an interactive
 graphical user interface, allowing for the flexible specification of a
 variety of both basic and advanced options. It will expand to include a
 variety of tools for navigating output.

Package: r-cran-gimms
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-curl, r-cran-kendall, r-cran-ncdf4, r-cran-zyp
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-gimms_1.2.2-1.ca2004.1_all.deb
Size: 398224
MD5sum: 345f801ea24c6b4c3bc2c9c32b16b968
SHA1: 9c15dc8ac0b5514eb1f3dd361df0e0369af6d1bf
SHA256: f39055678f36d2362fc6271e03248e7beae1bba569c25a07037a3065ef9527a0
SHA512: 22ca9bc077b5114ea450531f0140cffd8e913a378fabf0eb83e1fdb3b5c87b14c9fb2b4e128684e2c3701b503145865c6c3b09bd5481ed9f3666ec4049760a55
Homepage: https://cran.r-project.org/package=gimms
Description: CRAN Package 'gimms' (Download and Process GIMMS NDVI3g Data)
 This is a set of functions to retrieve information about GIMMS NDVI3g files
 currently available online; download (and re-arrange, in the case of
 NDVI3g.v0) the half-monthly data sets; import downloaded files from ENVI
 binary (NDVI3g.v0) or NetCDF format (NDVI3g.v1) directly into R based on the
 widespread 'raster' package; conduct quality control; and generate monthly
 composites (e.g., maximum values) from the half-monthly input data.  As a
 special gimmick, a method is included to conveniently apply the Mann-Kendall
 trend test upon 'Raster*' images, optionally featuring trend-free
 pre-whitening to account for lag-1 autocorrelation.

Package: r-cran-gina
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-ebimage, r-cran-png, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-gina_1.0.1-1.ca2004.1_all.deb
Size: 1183900
MD5sum: 93a139fd8a3ccb0e830cf369e64b7d83
SHA1: cd3fb1457539cf9d2bc493e841f2928619d22275
SHA256: 2b51401e4edddb3e8b4d361c0b491a0024fd14eb913813e93e1606e060b139a1
SHA512: 18ec8f839ee8996ed039167c646c1b4f1222c6fe990d87a835db9c8df2f9a57b641e4a681c77f47aa8c217395fee1002620a67e8e7acd67d2c19bc3f140b2adb
Homepage: https://cran.r-project.org/package=GiNA
Description: CRAN Package 'GiNA' (High Throughput Phenotyping)
 Performs image segmentation in fruit or seeds pictures in order to measure
 physical features in a high-throughput manner for genome-wide association
 (GWAS) and genomic selection programs.

Package: r-cran-gini
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gini_0.1.0-1.ca2004.1_all.deb
Size: 25900
MD5sum: 86149eb92a9ed70047b5f9b4d4fcdfc0
SHA1: 4d05aceb843b254627ddd292cecc4bdf6aa3aad0
SHA256: b8250b5a1f861fcae230abb8ee869c338242c50bab6547e23f0b63e2016c62ee
SHA512: 247f679e31d572482205fb28754a200e9e99b1f5bd851305f21c5f4cdd4c74424f1bea7af1272fa0e18df0581990b7727f8533b29d0c78f739527178dd6edacc
Homepage: https://cran.r-project.org/package=Gini
Description: CRAN Package 'Gini' (Gini Coefficient)
 Providing various equations to calculate Gini coefficients.  The methods
 used in this package can be referenced from Brown MC (1994) <doi:
 10.1016/0277-9536(94)90189-9>.

Package: r-cran-ginici
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggpubr
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ginici_0.1.0-1.ca2004.1_all.deb
Size: 281768
MD5sum: 240c4c699f5fcce8c46246bf9f62ed0d
SHA1: 4c7c5d12e241f18b790d6dcb39b0f0b317aca3ae
SHA256: 82dd09841f0a33a08df46994091907a7acee4978478f509d4f054e1ff6cef104
SHA512: de258ff50c3e1b75e55cbb9172f7c4aa785c71fbeb11cd1e31a5b969e89c15f1925f0a6b991c413f1fb4dd9d46a40f6587d921defc0113dfed4f214d5b638327
Homepage: https://cran.r-project.org/package=giniCI
Description: CRAN Package 'giniCI' (Gini-Based Composite Indicators)
 An implementation of Gini-based weighting approaches in constructing
 composite indicators, providing functionalities for normalization,
 aggregation, and ranking comparison.

Package: r-cran-ginidecomply
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dineq, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ginidecomply_1.0.1-1.ca2004.1_all.deb
Size: 40444
MD5sum: 1d6ccb46872138726bb65322a0b2af11
SHA1: 5af5210d605f54e1e987f0ae86525a2875ee5237
SHA256: 895f7dec6b3a0e9add4e07b51260a0ce82aa60a3619a77dc986bb3eed6d3a5cb
SHA512: 90dea19d68330565c406bf5573481481c661e224459e1f8c53d06113019cf8e550884172fb5eb7c48f8c50beab6daaaedec2d81816a842f412251ac473209da2
Homepage: https://cran.r-project.org/package=GiniDecompLY
Description: CRAN Package 'GiniDecompLY' (Gini Decomposition by Income Sources)
 Estimation of the effect of each income source on income inequalities based
 on the decomposition of Lerman and Yitzhaki (1985) <doi:10.2307/1928447>.

Package: r-cran-giniwegneg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-giniwegneg_1.0.1-1.ca2004.1_all.deb
Size: 47424
MD5sum: 6371506adc1a55e5cb573aed9189e8f1
SHA1: 8228e6e2284f03c723183ec2e441820c3e8fc1c8
SHA256: 10064c7b788b567cf4c89e2cd26c40d94e2f43e492889c61e7470a3814536aec
SHA512: 4ea1e98188c306b8850cb09e84aef7907b929e8465dc0e57e73e294de5ce48f8d9c1c4e3883940aa08efe5a3bdec99db5dabcc6be5a8aaf5ead469bf3c0b78b3
Homepage: https://cran.r-project.org/package=GiniWegNeg
Description: CRAN Package 'GiniWegNeg' (Computing the Gini-Based Coefficients for Weighted and NegativeAttributes)
 Gini-based coefficients and plot of the ordinary and generalized curve of
 maximum inequality in the presence of weighted and negative attributes.

Package: r-cran-ginsarcorw
Architecture: all
Version: 1.15.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3436
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-circular, r-cran-sp
Filename: pool/dists/focal/main/r-cran-ginsarcorw_1.15.8-1.ca2004.1_all.deb
Size: 2733992
MD5sum: e69e694ebd6510b8d0de07863ed8fd95
SHA1: df33c19cec1f9ab613b8e661d0835750a68c2586
SHA256: 4bbdf45e96b1370f4322eff53d4187f2614224f363bcd5b91d1707d55838cfb4
SHA512: 250f18022ccacbd9fe1f5d8a63d8438f7b393b37689ed902d4e836ea150dfeb8e4bb95aa63717b2f34623a2eea2bfab6b61b214772cb61424d7cca6f20357a3a
Homepage: https://cran.r-project.org/package=GInSARCorW
Description: CRAN Package 'GInSARCorW' (GACOS InSAR Correction Workflow)
 A workflow for correction of Differential Interferometric Synthetic Aperture
 Radar (DInSAR) atmospheric delay base on Generic Atmospheric Correction
 Online Service for InSAR (GACOS) data and correction algorithms proposed by
 Chen Yu. This package calculate the Both Zenith and LOS direction (User
 Depend). You have to just download GACOS product on your area and
 preprocessed D-InSAR unwrapped images. Cite those references and this
 package in your work, when using this framework.  References: Yu, C., N. T.
 Penna, and Z. Li (2017) <doi:10.1016/j.rse.2017.10.038>.  Yu, C., Li, Z., &
 Penna, N. T. (2017) <doi:10.1016/j.rse.2017.10.038>.  Yu, C., Penna, N. T.,
 and Li, Z. (2017) <doi:10.1002/2016JD025753>.

Package: r-cran-gipfrm
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gipfrm_3.1-1.ca2004.1_all.deb
Size: 39848
MD5sum: 8cc40fd1bf8d4b87b6f05d0969e720a0
SHA1: aa7af117ea823057439daba1e91fcc000cab525c
SHA256: 48be5189493dade0def59c5e4f59e5dc5a84255813c78590298f7380abf16aba
SHA512: a8c47a9d95941aae32a78e11d9a9bec7c65a1bdcbad7bdfb45229b03483c6b81c691da1bafd05a8faf94039758f71bc502b898c03eb2f0bc35f6a39470164b6a
Homepage: https://cran.r-project.org/package=gIPFrm
Description: CRAN Package 'gIPFrm' (Generalized Iterative Proportional Fitting for Relational Models)
 Maximum likelihood estimation under relational models, with or without the
 overall effect.

Package: r-cran-giphyr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-shiny, r-cran-miniui, r-cran-tibble, r-cran-rstudioapi, r-cran-dplyr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-giphyr_0.2.0-1.ca2004.1_all.deb
Size: 38060
MD5sum: 66c54657ab892eb170cc9013a7155bd3
SHA1: fe7d1aff5cb637c56f6f41981ac83eaca94cf3af
SHA256: 0bff461952d845a3016f031571a87ef9c1d23aef6a92346009249deeb98b01ed
SHA512: 7648f3764f6c41a6beb563afa2117f5b18f08831e47310a5848d030d07d0a6fc664e0f0af7407787b7195cf712f7612a1d3f385c6108cff9e135247dc7e523d9
Homepage: https://cran.r-project.org/package=giphyr
Description: CRAN Package 'giphyr' (R Interface to the Giphy API)
 An interface to the 'API' of 'Giphy', a popular index-based search engine
 for 'GIFs' and animated stickers (see <http://giphy.com/faq> and
 <https://github.com/Giphy/GiphyAPI> for more information about 'Giphy' and
 its 'API') . This package also provides a 'RStudio Addin', which can help
 users easily search and download 'GIFs' and insert them to a 'rmarkdown'
 presentation.

Package: r-cran-giplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-giplot_0.1.0-1.ca2004.1_all.deb
Size: 21328
MD5sum: 5ee3487ff5355da6c929a230e49a0161
SHA1: 382cd4df1e7f48cc8f533ac595846c4fc68ba7a5
SHA256: 1ea894302edaeeeed7f48c8fdb85243696dd21ef06cdde947597641b16aead4f
SHA512: da0b9fc9184cf984e30042e4e868a513591a53101d5d38d2cb373e3d6394fc665c55f4eafaebf6e5bf6abfd70b3251cc110c6cb01230945409baa683c8cac1a2
Homepage: https://cran.r-project.org/package=GIplot
Description: CRAN Package 'GIplot' (Gaussian Interval Plot (GIplot))
 The Gaussian Interval Plot (GIplot) is a pictorial representation of the
 mean and the standard deviation of a quantitative variable. It also flags
 potential outliers (together with their frequencies) that are c standard
 deviations away from the mean.

Package: r-cran-gips
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1312
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numbers, r-cran-permutations, r-cran-rlang
Suggests: r-cran-daag, r-cran-dplyr, r-cran-ggplot2, r-cran-hash, r-cran-hsaur2, r-cran-knitr, r-cran-mass, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-spelling, r-cran-stringi, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gips_1.2.3-1.ca2004.1_all.deb
Size: 821688
MD5sum: ee0afc0a14ae77f5723844ac7c1c5d80
SHA1: a09c4da82088debdbddd4cbe01527fec12d80366
SHA256: e0d55dec98f96239faeb8e6444d93f4440a4ef50ea4cff8c203ff792b902dd5e
SHA512: 0c6cba031849436b1022c019122d25009bc2f18724243250e4df04dbcdf0be63df45083713fcd6313bcda131aadca55b5626caa0f523a54041da0d9f92ed9b33
Homepage: https://cran.r-project.org/package=gips
Description: CRAN Package 'gips' (Gaussian Model Invariant by Permutation Symmetry)
 Find the permutation symmetry group such that the covariance matrix of the
 given data is approximately invariant under it.  Discovering such a
 permutation decreases the number of observations needed to fit a Gaussian
 model, which is of great use when it is smaller than the number of
 variables. Even if that is not the case, the covariance matrix found with
 'gips' approximates the actual covariance with less statistical error. The
 methods implemented in this package are described in Graczyk et al. (2022)
 <doi:10.1214/22-AOS2174>. Documentation about 'gips' is provided via its
 website at <https://przechoj.github.io/gips/> and the paper by Chojecki,
 Morgen, Kołodziejek (2025, <doi:10.18637/jss.v112.i07>).

Package: r-cran-giscor
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2014
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-geojsonsf, r-cran-jsonlite, r-cran-rappdirs, r-cran-sf
Suggests: r-cran-dplyr, r-cran-eurostat, r-cran-ggplot2, r-cran-httr2, r-cran-knitr, r-cran-lwgeom, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-giscor_0.6.1-1.ca2004.1_all.deb
Size: 1884456
MD5sum: 4f80417a1f9305b4742ae01fe44f2e60
SHA1: 82b2efa846d902e8ee40a9fc62db5e556ddd9f3a
SHA256: d6c961aba450b7a6fc6ceaa8815d13991029428ce1ea07830314c16b9d22d406
SHA512: cc764fd8ed882be89875fa11758385dbe5ce6af6615c25d0827587e2ef6c58306d0a22bd2abe94655c0a29b2eaf5426e34fd87ce93c664ff464b2d18375864f8
Homepage: https://cran.r-project.org/package=giscoR
Description: CRAN Package 'giscoR' (Download Map Data from GISCO API - Eurostat)
 Tools to download data from the GISCO (Geographic Information System of the
 Commission) Eurostat database <https://ec.europa.eu/eurostat/web/gisco>.
 Global and European map data available.  This package is in no way
 officially related to or endorsed by Eurostat.

Package: r-cran-gisintegration
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shapefiles, r-cran-tm, r-cran-syn, r-cran-recordlinkage, r-cran-stringr, r-cran-sf
Filename: pool/dists/focal/main/r-cran-gisintegration_1.0-1.ca2004.1_all.deb
Size: 36464
MD5sum: 030d492f48568d08e2acb40c86ca1c17
SHA1: 5bdf8785756ef8e27a153f8fca56d2878b55fdf0
SHA256: d09ccfd04aaedfb7720a3960f3542b632c0e6a3a5182eb914a8c5ca026cceed8
SHA512: afdc14f59a79845967f6180a63aa5409a49e35a2cae9285e1d19182767cf3234d883f34a965dcaa7d5f854a651b71c20777453a09abd5563abe19006521ded53
Homepage: https://cran.r-project.org/package=GISINTEGRATION
Description: CRAN Package 'GISINTEGRATION' (GIS Integration)
 Designed to facilitate the preprocessing and linking of GIS (Geographic
 Information System) databases
 <https://www.sciencedirect.com/topics/computer-science/gis-database>, the R
 package 'GISINTEGRATION' offers a robust solution for efficiently preparing
 GIS data for advanced spatial analyses. This package excels in simplifying
 intrica procedures like data cleaning, normalization, and format conversion,
 ensuring that the data are optimally primed for precise and thorough
 analysis.

Package: r-cran-gissb
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2712
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cpprouting, r-cran-dplyr, r-cran-here, r-cran-httr, r-cran-igraph, r-cran-leaflet, r-cran-magrittr, r-cran-nabor, r-cran-purrr, r-cran-rcurl, r-cran-reshape2, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidygraph, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gissb_1.1-1.ca2004.1_all.deb
Size: 1243416
MD5sum: a1eab165482b3b2fbe17bf57cd64a497
SHA1: b4012e57d235367678516cbb9a759a5aa3c5d9ba
SHA256: 56d637ffc73b6e960337721797eaa5ace4e90ba38a42bf3f713d318880e98d31
SHA512: 55753029b3568f9c47348fdd86d5232c2e13e3af3c680c62a9751fb5155a67fe1d28d2a3024ff594a3a922615eafdb3a3e4ae0a8174160780bbbed9388258077
Homepage: https://cran.r-project.org/package=GISSB
Description: CRAN Package 'GISSB' (Network Analysis on the Norwegian Road Network)
 A collection of GIS (Geographic Information System) functions in R, created
 for use in Statistics Norway. The functions are primarily related to network
 analysis on the Norwegian road network.

Package: r-cran-gistools
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3542
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-sp, r-cran-rcolorbrewer, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gistools_1.0-2-1.ca2004.1_all.deb
Size: 3571340
MD5sum: 88986157159ed43f96f75c49f992d63f
SHA1: c709849e8dfbec8c93167d42189a98d2010230ed
SHA256: bb883cdff581be6b881a5a321873d95d3816796ebde741d2afe367483204d8a7
SHA512: 6fad5ffc3fb91061b91f66b1489f3beb1fda768a79f230e1da620e2545eea128992fa0a23a404fca28a7fdadd5a5f50b0fd3d3b1aa337412f114aff233adff56
Homepage: https://cran.r-project.org/package=GISTools
Description: CRAN Package 'GISTools' (Further Capabilities in Geographic Information Science)
 Mapping and spatial data manipulation tools - in particular drawing thematic
 maps with nice looking legends, and aggregation of point data to polygons.

Package: r-cran-gistr
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-crul, r-cran-httr, r-cran-magrittr, r-cran-assertthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Suggests: r-cran-git2r, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gistr_0.9.0-1.ca2004.1_all.deb
Size: 762276
MD5sum: e95ca66c54185dca039662221e12d64a
SHA1: 09b06847d9b3166db0740103d0b274781f988a3f
SHA256: 239ba225b35be69dfa87f35ec77b51fad351a27a6f4db27d93a373ec8f88a5cd
SHA512: 28266967c6334a829780a4a42e821f5d629c79012ffaa61f2d0b3ace8001d85c7a2617861b2c0fce447edce48c69fa855fd204c53c1c48b531c8fe896fdece59
Homepage: https://cran.r-project.org/package=gistr
Description: CRAN Package 'gistr' (Work with 'GitHub' 'Gists')
 Work with 'GitHub' 'gists' from 'R' (e.g.,
 <https://en.wikipedia.org/wiki/GitHub#Gist>,
 <https://docs.github.com/en/github/writing-on-github/creating-gists/>). A
 'gist' is simply one or more files with code/text/images/etc. This package
 allows the user to create new 'gists', update 'gists' with new files, rename
 files, delete files, get and delete 'gists', star and 'un-star' 'gists',
 fork 'gists', open a 'gist' in your default browser, get embed code for a
 'gist', list 'gist' 'commits', and get rate limit information when
 'authenticated'. Some requests require authentication and some do not.
 'Gists' website: <https://gist.github.com/>.

Package: r-cran-git2rdata
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1368
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-git2r, r-cran-yaml
Suggests: r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-microbenchmark, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-git2rdata_0.5.0-1.ca2004.1_all.deb
Size: 850868
MD5sum: 86ccdf6bc24283a3c4750e5e5725680b
SHA1: b76c9943a63821e20f5e8359d44dbfdf6be6b9e7
SHA256: 67e2507496bd586c30156666542f4d051422d7976ca497cea8f82c498546925e
SHA512: 1e7ed9d8858b67225f3e5d01524a46a005b2abbba9ae97f48b49c139b16a804ed56832557b4ad5611fdeabfc90af27a190bbd183a0be61fd40c01eb0d8f761f3
Homepage: https://cran.r-project.org/package=git2rdata
Description: CRAN Package 'git2rdata' (Store and Retrieve Data.frames in a Git Repository)
 The git2rdata package is an R package for writing and reading dataframes as
 plain text files.  A metadata file stores important information.  1) Storing
 metadata allows to maintain the classes of variables.  By default, git2rdata
 optimizes the data for file storage.  The optimization is most effective on
 data containing factors.  The optimization makes the data less human
 readable.  The user can turn this off when they prefer a human readable
 format over smaller files.  Details on the implementation are available in
 vignette("plain_text", package = "git2rdata").  2) Storing metadata also
 allows smaller row based diffs between two consecutive commits.  This is a
 useful feature when storing data as plain text files under version control.
 Details on this part of the implementation are available in
 vignette("version_control", package = "git2rdata").  Although we envisioned
 git2rdata with a git workflow in mind, you can use it in combination with
 other version control systems like subversion or mercurial.  3) git2rdata is
 a useful tool in a reproducible and traceable workflow.
 vignette("workflow", package = "git2rdata") gives a toy example.  4)
 vignette("efficiency", package = "git2rdata") provides some insight into the
 efficiency of file storage, git repository size and speed for writing and
 reading.

Package: r-cran-git4r
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 765
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-git2r, r-cran-diffr
Suggests: r-cran-gitcreds, r-cran-rstudioapi, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-git4r_0.1.2-1.ca2004.1_all.deb
Size: 518468
MD5sum: a95ebaad33b1af00ffd7a942693f8174
SHA1: f9515207a11bfdfde3e5eca26b661260b3ca0d01
SHA256: 278c34ae6886732706b5b73e1ba593c1ff5856d9baed4d370d811b436f941f83
SHA512: 44ebab10e2f87c1a9a90f8f56dd9c0ec191305a10c62cad10ed01d7cc8d80304a4d264714032d3075eb02d1606e19f8107beebdd45cd6e3805f09c86ab4f8408
Homepage: https://cran.r-project.org/package=git4r
Description: CRAN Package 'git4r' (Interactive Git for R)
 An interactive git user interface from the R command line. Intuitive tools
 to make commits, branches, remotes, and diffs an integrated part of R
 coding. Built on git2r, a system installation of git is not required and has
 default on-premises remote option.

Package: r-cran-gitai
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1262
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-ellmer, r-cran-gitstats, r-cran-httr2, r-cran-lubridate, r-cran-r6, r-cran-s7, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-glue
Suggests: r-cran-testthat, r-cran-shiny, r-cran-shinychat, r-cran-withr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gitai_0.1.1-1.ca2004.1_all.deb
Size: 936600
MD5sum: 1e9d9587e98c3b198a7a154556204a51
SHA1: 2a0a2970c0f45922528704edcf3dd47934d84a75
SHA256: 64ea77a59a5776ee3650cdd58d60e920b92d37fd146053bfb14c990c73d6c61d
SHA512: e4cc140b5cbce69f1ec6fe7f59b42db528deaf1b1270d2eec6be2a07de4faac98605d00e3d01a1adff9684e5b1851a72ca20b75e44e8340dede641f926fd663f
Homepage: https://cran.r-project.org/package=GitAI
Description: CRAN Package 'GitAI' (Extracts Knowledge from 'Git' Repositories)
 Scan multiple 'Git' repositories, pull specified files content and process
 it with large language models. You can summarize the content in specific
 way, extract information and data, or find answers to your questions about
 the repositories. The output can be stored in vector database and used for
 semantic search or as a part of a RAG (Retrieval Augmented Generation)
 prompt.

Package: r-cran-gitcreds
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-codetools, r-cran-covr, r-cran-knitr, r-cran-mockery, r-cran-oskeyring, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gitcreds_0.1.2-1.ca2004.1_all.deb
Size: 85328
MD5sum: e2812239cd9071c08dfe622d47f1ab42
SHA1: f656f38b63ffc606a66c9d0207d164b5bb12870f
SHA256: b26f10419c3646fcc635afbf37ea8e134c8c3dd81d2393da1b8ea7fb48bab3db
SHA512: e88dd01a4f0a2c2bb8d655d466c61ce2cfbc6855e4b2af687b03d12ae9d08acb8c026ffe815186532b870e3085495df85a53f37021a4021e8ef33d20ebd51762
Homepage: https://cran.r-project.org/package=gitcreds
Description: CRAN Package 'gitcreds' (Query 'git' Credentials from 'R')
 Query, set, delete credentials from the 'git' credential store. Manage
 'GitHub' tokens and other 'git' credentials. This package is to be used by
 other packages that need to authenticate to 'GitHub' and/or other 'git'
 repositories.

Package: r-cran-gitdown
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-attempt, r-cran-bookdown, r-cran-dplyr, r-cran-git2r, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rmarkdown, r-cran-stringi, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gitdown_0.1.6-1.ca2004.1_all.deb
Size: 490828
MD5sum: 8d9fbd4291c633c2907d9f6861d2637d
SHA1: f7bdc62192c411dc6057727962979e8ca4125dfb
SHA256: 276c2f5bff3118214bdcffdcec668ea1f74195b44bd8749b947ea9efd647bd0a
SHA512: fde718036dd2333a850d8ac13ef2c0aa47bdc3f15bd51da4a58c3fbc2ba25a318aa33c88e471b3390e88c207bcb84b1d74c5a96cf73d43b47a7cf206f94f15b6
Homepage: https://cran.r-project.org/package=gitdown
Description: CRAN Package 'gitdown' (Turn Your Git Commit Messages into a HTML Book)
 Read all commit messages of your local git repository and sort them
 according to tags or specific text pattern into chapters of a HTML book
 using 'bookdown'. The git history book presentation helps organisms required
 to testify for every changes in their source code, in relation to features
 requests.

Package: r-cran-gitear
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-stringr, r-cran-mockery, r-cran-rcpp
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gitear_1.0.0-1.ca2004.1_all.deb
Size: 199496
MD5sum: d6c4967891716015f8a9692b68becc9a
SHA1: 5d9dc871f24be21a834a45de2b5c075cf53db894
SHA256: 8805f4a2330009f5e637dbcf9c319f16c68f20797db09fc1b5115608a62e7ef9
SHA512: f633cc0084f6672bbd6ffe4e887dec74854a3d464b5cafb0171504154880b9b7ec248f51395f2a1f95370b6079166ec06384861f60ee7a641152971575ad6e45
Homepage: https://cran.r-project.org/package=gitear
Description: CRAN Package 'gitear' (Client to the 'gitea' API)
 'Gitea' is a community managed, lightweight code hosting solution were
 projects and their respective git repositories can be managed
 <https://gitea.io>. This package gives an interface to the 'Gitea' API to
 access and manage repositories, issues and organizations directly in R.

Package: r-cran-gitgadget
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-curl, r-cran-jsonlite, r-cran-dplyr, r-cran-shinyfiles, r-cran-callr, r-cran-usethis, r-cran-markdown
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gitgadget_0.8.2-1.ca2004.1_all.deb
Size: 129976
MD5sum: 031feb1d428fae78edf76e887f008616
SHA1: 2954f3dd9f3395a3b9e434427699599af25d0d41
SHA256: 24c57f3675fbe9824d269aba2e4d4b8bcb65a4ff963690c6af6f52ec5a22f2f8
SHA512: 305a90576e7968166b222f6d159ef98d17196fd9bb4339a38557ee749bb353140c5f99a0a87c6fe0eea935530dcf5f13a575d9607c2769a196293bdd2afa341e
Homepage: https://cran.r-project.org/package=gitgadget
Description: CRAN Package 'gitgadget' ('Rstudio' Addin for Version Control and Assignment Managementusing Git)
 An 'Rstudio' addin for version control that allows users to clone
 repositories, create and delete branches, and sync forks on GitHub, GitLab,
 etc.  Furthermore, the addin uses the GitLab API to allow instructors to
 create forks and merge requests for all students/teams with one click of a
 button.

Package: r-cran-gitgpt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-gitgpt_0.1.3-1.ca2004.1_all.deb
Size: 24912
MD5sum: 5f78d8b5de9203f22d64bf8fa805488b
SHA1: ea657419a66a0cfbff5155e147d8a8b86941e2a9
SHA256: dbfd9536c46606ed5486e3ea27627b0e544d64c78c9e97d2d7f00b164a1eedae
SHA512: 7fe312cac5147813486b0f3bbd02612c4dbfdd2d23787fb2fc9a3653b97334746a8935c7403b5e015482ffbacd870b546d2fe1b216e37c111309649e46525f3a
Homepage: https://cran.r-project.org/package=gitGPT
Description: CRAN Package 'gitGPT' (Automated Git Commit Messages using the 'OpenAI' 'GPT' Model)
 Automates the process of adding, committing, and pushing changes to a 'git'
 repository using commit messages generated by passing the git diff output to
 the 'OpenAI' 'GPT-3.5 Turbo' model
 (<https://platform.openai.com/docs/models/gpt-3>).

Package: r-cran-githubinstall
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-devtools, r-cran-httr, r-cran-jsonlite, r-cran-mockery
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-githubinstall_0.2.2-1.ca2004.1_all.deb
Size: 61984
MD5sum: 8321e966e74bd2f0ed462dc176b09889
SHA1: bd1b0af213f18aadcb948e53e79156c821d28499
SHA256: 23260b6e08d35a74bc33e86bdee743ee57182ed372b34b449e7a19b97b1185af
SHA512: 230ef6c41f5fe91f9e20ddab57621f0580a23fc9342734a588b7bd5e5ba57c4c5d80d90f815aa6672cfb4bdc2e7b472bc68170b1ffba9052d719c52de3b78c7a
Homepage: https://cran.r-project.org/package=githubinstall
Description: CRAN Package 'githubinstall' (A Helpful Way to Install R Packages Hosted on GitHub)
 Provides an helpful way to install packages hosted on GitHub.

Package: r-cran-githubr
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gitcreds, r-cran-dplyr, r-cran-gh, r-cran-magrittr, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-githubr_0.9.1-1.ca2004.1_all.deb
Size: 28332
MD5sum: c580ea6210d769e6f8d3cd38f9b3d633
SHA1: 02e403798193492aa14c70e66b75c2098c4c8e66
SHA256: cac5122ddd020ddb95f77f281ca6051101332ab68c3df114c66c6f8010eaba25
SHA512: 12ed1e41572d6ef89ea9cac2bac8fffec7d5b8cf6ff7dba76d885ffd46d1e1c4038fa5ce11329b1e342310cc56723ea2a017905eea495335d4cd9d123df33d4d
Homepage: https://cran.r-project.org/package=githubr
Description: CRAN Package 'githubr' (Easier to Use API Wrapper for 'GitHub')
 This is a 'GitHub' API wrapper for R. <https://docs.github.com/en/rest> It
 uses the 'gh' package but has things wrapped up for convenient use cases.

Package: r-cran-gitignore
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-clipr, r-cran-curl, r-cran-glue, r-cran-here, r-cran-jsonlite, r-cran-purrr, r-cran-xfun
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gitignore_0.1.8-1.ca2004.1_all.deb
Size: 35368
MD5sum: 54cdbbaf1c6495a30b5665b29cb1d194
SHA1: b75987b62a30084c22c39172857604f54ef11fa8
SHA256: d025c1c96d2fb509d26f0543414489f78da6e741d863bd50d2c5f729b67f7915
SHA512: 54369baa10e9a564da5dd34ea516d400776021ae6e990df8103ef0a8f8e4def266dcd94bd27f6511799ee92cc08a211842e40361f1fecdc0d2581242598ae7f9
Homepage: https://cran.r-project.org/package=gitignore
Description: CRAN Package 'gitignore' (Create Useful .gitignore Files for your Project)
 Simple interface to query gitignore.io to fetch gitignore templates that can
 be included in the .gitignore file. More than 450 templates are currently
 available.

Package: r-cran-gitlabr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arpr, r-cran-base64enc, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-gitlabr_2.1.0-1.ca2004.1_all.deb
Size: 228940
MD5sum: ad673d35380e1d9c7eaffd3be17791ab
SHA1: 7f9b512bf94c8f1c60f82e11aa134e970243054b
SHA256: 7b09cdc6141d52ff181d77a1aad4c95b2ef1c2b1d56cf84e8bee50dd80b1e20a
SHA512: a63e0c509f4a0f0e5797c9b791471215274561de5989ecbe05c0c1b312a6e1fd49d9ad552b6d51a241619c985a1589c3744d7492a8aaa1af776a9853168c52a0
Homepage: https://cran.r-project.org/package=gitlabr
Description: CRAN Package 'gitlabr' (Access to the 'GitLab' API)
 Provides R functions to access the API of the project and repository
 management web application 'GitLab'. For many common tasks (repository file
 access, issue assignment and status, commenting) convenience wrappers are
 provided, and in addition the full API can be used by specifying request
 locations. 'GitLab' is open-source software and can be self-hosted or used
 on <https://about.gitlab.com>.

Package: r-cran-gitlink
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-rlang
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat, r-cran-rmarkdown, r-cran-fs, r-cran-rprojroot, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-gitlink_0.1.3-1.ca2004.1_all.deb
Size: 117492
MD5sum: 26c723fe9d978071c104e7945137a300
SHA1: d6e10669628abd858b76ac08402b5fbc22978e72
SHA256: 67ce437c6772d70b43ebfd5385133c5908fa4ab4d75118b32a9c19d6b201eacc
SHA512: cbd11fac75fcf385058e093644282f32a00a41839e9ef5ff26189ec6371841ef6f0ffbb9c6c202587916c390b0a6e32eddb248781c14f3b2bd7165fd026dbc68
Homepage: https://cran.r-project.org/package=gitlink
Description: CRAN Package 'gitlink' (Add 'Git' Links to Your Web Based Assets)
 Provides helpers to add 'Git' links to 'shiny' applications, 'rmarkdown'
 documents, and other 'HTML' based resources.  This is most commonly used for
 'GitHub' ribbons.

Package: r-cran-gitr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gitr_0.1.0-1.ca2004.1_all.deb
Size: 110756
MD5sum: 72f3635deecab38ec460288cd3f58d80
SHA1: 4d1aff11d2163b4325374d4d306ae93df53124a2
SHA256: f294655cb692c91d26a4a4ab22b87b9fc8faa6c7cef6717ae53146efb2a60b5f
SHA512: 883ed4b323cc0300fe7ba6edd816dd4bf8e5345198beac44a0408b77d71720fea9af8841bdb6274726a45ad681fd07894a132a6c364bd507ae9f403f37d6deed
Homepage: https://cran.r-project.org/package=gitr
Description: CRAN Package 'gitr' (A Lightweight API for 'Git')
 A light-weight, dependency-free, application programming interface (API) to
 access system-level 'Git' <https://git-scm.com/downloads> commands from
 within 'R'. Contains wrappers and defaults for common data science workflows
 as well as 'Zsh' <https://github.com/ohmyzsh/ohmyzsh> plugin aliases.  A
 generalized API syntax is also available.

Package: r-cran-gitstats
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1026
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-r6, r-cran-purrr, r-cran-stringr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gitstats_2.3.3-1.ca2004.1_all.deb
Size: 844748
MD5sum: 00d7cac7065171892885fa0b1aa6f324
SHA1: 17fc2b503c7769791eb636786084e1d6c9b4ad6f
SHA256: f317a049916692a32bd973e0a197b526511db6c5fb1c2a2183e7f002b7c13ff5
SHA512: 0acd482e8cda936967497bd29755378d03fd524f4a52f5c4181cf9515ed204c25743e350058f36d3d9f358ba1145e28f7c42a7401665d6d6b4831aa6d5f1d903
Homepage: https://cran.r-project.org/package=GitStats
Description: CRAN Package 'GitStats' (Standardized Git Repository Data)
 Obtain standardized data from multiple 'Git' services, including 'GitHub'
 and 'GitLab'.  Designed to be 'Git' service-agnostic, this package assists
 teams with activities spread across various 'Git' platforms by providing a
 unified way to access repository data.

Package: r-cran-gittargets
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-data.table, r-cran-gert, r-cran-processx, r-cran-targets, r-cran-tibble, r-cran-uuid
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gittargets_0.0.7-1.ca2004.1_all.deb
Size: 277012
MD5sum: 97dca84913d5bf3fd785ee3dfc49dd75
SHA1: 1bde6a8c4076421fb980a0b05cb0f2e0be8dd8a1
SHA256: 55e07a81f6e57094dbab313583e48f75fc3f078ba500771d1c7987c4b7db2cbf
SHA512: 7ae5fb1afe9cf083923fca6e1c3cc8e6fe6b5d6ea16d05f844692c2a3ddd179b5cec6d20841a8da9614d4871980057293df77f28ade56575adfb09bd497fb9f9
Homepage: https://cran.r-project.org/package=gittargets
Description: CRAN Package 'gittargets' (Data Version Control for the Targets Package)
 In computationally demanding data analysis pipelines, the 'targets' R
 package (2021, <doi:10.21105/joss.02959>) maintains an up-to-date set of
 results while skipping tasks that do not need to rerun.  This process
 increases speed and increases trust in the final end product.  However, it
 also overwrites old output with new output, and past results disappear by
 default. To preserve historical output, the 'gittargets' package captures
 version-controlled snapshots of the data store, and each snapshot links to
 the underlying commit of the source code.  That way, when the user rolls
 back the code to a previous branch or commit, 'gittargets' can recover the
 data contemporaneous with that commit so that all targets remain up to date.

Package: r-cran-givitir
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alabama, r-cran-rootsolve
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-givitir_1.3-1.ca2004.1_all.deb
Size: 143724
MD5sum: 1e48c89b0460d15bdf47fc11c3f19a89
SHA1: c6818db65d32f6ca0171695da71541c0f48aad8a
SHA256: 664184f581839c3d06d2bf5d9a4ec2e6e68658c5a883b598e18d1d9c16a6ac43
SHA512: 2266ed51ea7b2e3eff3836787533a7c57ce58048a0078d5d7cdcacdef56c641713b7dc82d01db918cd9d560415486a1cc7c96a613335d2d7a5f1decf48e274be
Homepage: https://cran.r-project.org/package=givitiR
Description: CRAN Package 'givitiR' (The GiViTI Calibration Test and Belt)
 Functions to assess the calibration of logistic regression models with the
 GiViTI (Gruppo Italiano per la Valutazione degli interventi in Terapia
 Intensiva, Italian Group for the Evaluation of the Interventions in
 Intensive Care Units - see <http://www.giviti.marionegri.it/>) approach. The
 approach consists in a graphical tool, namely the GiViTI calibration belt,
 and in the associated statistical test. These tools can be used both to
 evaluate the internal calibration (i.e. the goodness of fit) and to assess
 the validity of an externally developed model.

Package: r-cran-gjls2
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-quantreg, r-cran-mcmcpack, r-cran-mass, r-cran-plyr, r-cran-ggplot2, r-cran-moments
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-gjls2_0.2.0-1.ca2004.1_all.deb
Size: 166052
MD5sum: a14c0127c5f21e24d1d54de76c5d6012
SHA1: 569994007bb7cca5e48dc88abe621255d83ec177
SHA256: 0cc1f175040c1031a27d47ab08ca88409443b3d793e2862e218f86b7b3929995
SHA512: 7fb28c7481ae3da12cfaaf1c539e617a9698e3ad2a324b1b09032e6991288e3feeee3b6c404b845fd56cfca4de535f6757b7fb67ec1aa7c55dc006ff1ed07cd1
Homepage: https://cran.r-project.org/package=gJLS2
Description: CRAN Package 'gJLS2' (A Generalized Joint Location and Scale Framework for AssociationTesting)
 An update to the Joint Location-Scale (JLS) testing framework that
 identifies associated SNPs, gene-sets and pathways with main and/or
 interaction effects on quantitative traits (Soave et al., 2015;
 <doi:10.1016/j.ajhg.2015.05.015>). The JLS method simultaneously tests the
 null hypothesis of equal mean and equal variance across genotypes, by
 aggregating association evidence from the individual location/mean-only and
 scale/variance-only tests using Fisher's method. The generalized joint
 location-scale (gJLS) framework has been developed to deal specifically with
 sample correlation and group uncertainty (Soave and Sun, 2017;
 <doi:10.1111/biom.12651>). The current release: gJLS2, include additional
 functionalities that enable analyses of X-chromosome genotype data through
 novel methods for location (Chen et al., 2021; <doi:10.1002/gepi.22422>) and
 scale (Deng et al., 2019; <doi:10.1002/gepi.22247>).

Package: r-cran-gjrm.data
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 805
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-gjrm
Filename: pool/dists/focal/main/r-cran-gjrm.data_0.1-1-1.ca2004.1_all.deb
Size: 794032
MD5sum: e1a24b26b535cd45da02edaeb250a754
SHA1: 6e6b742006c087e3b2b307be4a62d8594839a36f
SHA256: d24e8978cbd32c307cb42f1d8020aca168cf9277802a6f943238515a86d96551
SHA512: 44499ebe7a51897b52c3e93c35766de1708a42383bc1056023ee85d18dc850a4f18f53df753c272150cdac5f8133f53d98fd417c41ceee8977bbe52290d3420f
Homepage: https://cran.r-project.org/package=GJRM.data
Description: CRAN Package 'GJRM.data' (Data Sets for Copula Additive Distributional Regression Using R)
 Data sets used in the book Marra and Radice (2025, ISBN:9781032973111)
 "Copula Additive Distributional Regression Using R", for illustrating the
 fitting of various joint (and univariate) regression models, with several
 types of covariate effects, in the presence of equations' errors
 association.

Package: r-cran-gjrm
Architecture: all
Version: 0.2-6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3429
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mgcv, r-cran-magic, r-cran-vgam, r-cran-survey, r-cran-trust, r-cran-vinecopula, r-cran-ggplot2, r-cran-matrixstats, r-cran-mnormt, r-cran-gamlss.dist, r-cran-rmpfr, r-cran-scam, r-cran-survival, r-cran-psych, r-cran-copula, r-cran-numderiv, r-cran-evd, r-cran-ismev, r-cran-distrex
Filename: pool/dists/focal/main/r-cran-gjrm_0.2-6.8-1.ca2004.1_all.deb
Size: 3372344
MD5sum: d4810fab39f50d840fcba3a0d3a93c12
SHA1: 2d9fd001c17d0d7d825ffbb34cb9aadd1f3ea814
SHA256: d500b996755520b274a9af87775ddf40b934f46367c1727fe894c230cb11046c
SHA512: 38643efb577144275be07b04f58417b67fb3df8d04ddacef039aae0b1af6d20736c166f24aaf42ba1e9ceedc618d0b02d39ea3875af9e16c38a044fbf64c4187
Homepage: https://cran.r-project.org/package=GJRM
Description: CRAN Package 'GJRM' (Generalised Joint Regression Modelling)
 Routines for fitting various joint (and univariate) regression models, with
 several types of covariate effects, in the presence of equations' errors
 association.

Package: r-cran-gk2011
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gk2011_0.1.3-1.ca2004.1_all.deb
Size: 25424
MD5sum: 06860a1e0c75c12b8e54db274324dfbb
SHA1: 9ee0530c0a8b76f464ffd4f42ae9a7f7d679ecfe
SHA256: 87d78f673fb29c35d534d4040a29f0b6d44acf658a4a0d3179b8662169f31f30
SHA512: b14bb205b41dec3e508aa2d7c6e3a3a06a01f63ce893715417e8a8cb06e6d4d0366adaf831cdb7603412b1b79b719c26af0cf903558da7e9c080a5cfe14ec65f
Homepage: https://cran.r-project.org/package=GK2011
Description: CRAN Package 'GK2011' (Gaines and Kuklinski (2011) Estimators for Hybrid Experiments)
 Implementations of the treatment effect estimators for hybrid
 (self-selection) experiments, as developed by Brian J. Gaines and James H.
 Kuklinski, (2011), "Experimental Estimation of Heterogeneous Treatment
 Effects Related to Self-Selection," American Journal of Political Science
 55(3): 724-736.

Package: r-cran-gk
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ecdat, r-cran-lubridate, r-cran-progress
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gk_0.6.0-1.ca2004.1_all.deb
Size: 105340
MD5sum: 3abec0294e1bcc730a0a2742254dc6c5
SHA1: e2d1563ef4533873ee7cd5afcebe5a13752b411a
SHA256: 7ce647642d9cd1f399ad8bb4a6644ec4da319557d143b257990699d9b0b62769
SHA512: a2ab3841c730098933fb44126225f0fd3077e3ce46aa254148afb0c6f7a2518e150a50e8ab5b0aeb100eaa9b6430c553e6f8d47cf2942d208288d527b3407ac6
Homepage: https://cran.r-project.org/package=gk
Description: CRAN Package 'gk' (g-and-k and g-and-h Distribution Functions)
 Functions for the g-and-k and generalised g-and-h distributions.

Package: r-cran-gkgraphr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-isocodes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-gkgraphr_1.0.2-1.ca2004.1_all.deb
Size: 20528
MD5sum: eaec1fd763859e02194ce8ffeace74b8
SHA1: ec4b5dbed0b0c0088731ed0cae239cf7697c16c4
SHA256: 46fbcf64b8ee0b18eeabe78cb784cac704cb716fbf463e9431e97417a6e78e1a
SHA512: bd7bb85e46fbce14af0c7cd274762175c27c9a0943ef7b3af3b5008932588aa060e0bfb3e4f9d1a75372c8558db7378fc2a9042e74b454a47e6ab466db1dfbd1
Homepage: https://cran.r-project.org/package=gkgraphR
Description: CRAN Package 'gkgraphR' (Accessing the Official 'Google Knowledge Graph' API)
 A simple way to interact with and extract data from the official 'Google
 Knowledge Graph' API <https://developers.google.com/knowledge-graph/>.

Package: r-cran-glam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glam_1.0.2-1.ca2004.1_all.deb
Size: 53784
MD5sum: 16b669bc786218bdb56d89ae6c3d3354
SHA1: 7d8f8471dcc7d21b9e28c2c6c9bf18d6acaef83e
SHA256: 5153be38e6f853ab8a3bee4ded8ba0849bb7b1bb3de3c10373f8a5ff99361142
SHA512: 99bef5d952e95c5d037054627a0b242485b39578846a2a0aae0e806e93dec560d6c17ca29b58bf181c625ac903c9b60b3929a45142b62e09770ebedac5904dc2
Homepage: https://cran.r-project.org/package=glam
Description: CRAN Package 'glam' (Generalized Additive and Linear Models (GLAM))
 Contains methods for fitting Generalized Linear Models (GLMs) and
 Generalized Additive Models (GAMs). Generalized regression models are common
 methods for handling data for which assuming Gaussian-distributed errors is
 not appropriate. For instance, if the response of interest is binary, count,
 or proportion data, one can instead model the expectation of the response
 based on an appropriate data-generating distribution.  This package provides
 methods for fitting GLMs and GAMs under Beta regression, Poisson regression,
 Gamma regression, and Binomial regression (currently GLM only) settings.
 Models are fit using local scoring algorithms described in Hastie and
 Tibshirani (1990) <doi:10.1214/ss/1177013604>.

Package: r-cran-glancedata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggally, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-openxlsx, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-covr, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-skimr
Filename: pool/dists/focal/main/r-cran-glancedata_1.0.1-1.ca2004.1_all.deb
Size: 41156
MD5sum: 76f8d566951a6c89eb7cb8edd0c1827b
SHA1: 4591947cae0809bd1f72e6b5f2f2dc2b4225dcad
SHA256: 5e688b836c214e92981f9a581a8ac4d6495e95da92016e838c257f4ee5f71e17
SHA512: 7bad078a8e06e67036e54d4bcba945d91811e63a1496f3b5b23d9bf316599d01a046bef62976dd8a9eed38a8532303083862301d24212b1b3ca763ca353cfc65
Homepage: https://cran.r-project.org/package=glancedata
Description: CRAN Package 'glancedata' (Generate tables and plots to get summaries of data)
 Generate data frames for all the variables with some summaries and also some
 plots for numerical variables.  Several functions from the 'tidyverse' and
 'GGally' packages are used.

Package: r-cran-glarma
Architecture: all
Version: 1.7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-runit, r-cran-knitr, r-cran-digest, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-glarma_1.7-1-1.ca2004.1_all.deb
Size: 513748
MD5sum: bae8f38395c1dd4acf986e34d7c208b7
SHA1: 4c5f82c75fbbb34fc474035a535606a3c5388c26
SHA256: b77aae786ae8a99926d27aeb3a11745638cb3b0b48152d4ffef9ac8a4bdd02f1
SHA512: bbf855213ad7a5aab78c938c1a7d3fac81629d0b45156c3ce790680c7f9063949e12f43bec33c3732a8a6ac43a82fe74f5ea11bd9a3a34158cfb007d0fdb8ee8
Homepage: https://cran.r-project.org/package=glarma
Description: CRAN Package 'glarma' (Generalized Linear Autoregressive Moving Average Models)
 Functions are provided for estimation, testing, diagnostic checking and
 forecasting of generalized linear autoregressive moving average (GLARMA)
 models for discrete valued time series with regression variables.  These are
 a class of observation driven non-linear non-Gaussian state space models.
 The state vector consists of a linear regression component plus an
 observation driven component consisting of an autoregressive-moving average
 (ARMA) filter of past predictive residuals. Currently three distributions
 (Poisson, negative binomial and binomial) can be used for the response
 series. Three options (Pearson, score-type and unscaled) for the residuals
 in the observation driven component are available. Estimation is via maximum
 likelihood (conditional on initializing values for the ARMA process)
 optimized using Fisher scoring or Newton Raphson iterative methods.
 Likelihood ratio and Wald tests for the observation driven component allow
 testing for serial dependence in generalized linear model settings.
 Graphical diagnostics including model fits, autocorrelation functions and
 probability integral transform residuals are included in the package.
 Several standard data sets are included in the package.

Package: r-cran-glarmavarsel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-formatr, r-cran-domc
Filename: pool/dists/focal/main/r-cran-glarmavarsel_1.0-1.ca2004.1_all.deb
Size: 56000
MD5sum: 5aeafa66ec622e451e3a79a82b49fd27
SHA1: 5e9be08273808f27a6550caff63fabb04f961af1
SHA256: 36f56e09de83d104deb19fdc672d760ee3f9e4a5c4a501bfc80ced82d0564b3f
SHA512: ac37669574b772f32f697953ad8674b3f0bd780a429a0bbcc99df8893f441f2df3838df60ac3850b5e87db98723cf61b5dd046f440eecd06b2ccc01c858db834
Homepage: https://cran.r-project.org/package=GlarmaVarSel
Description: CRAN Package 'GlarmaVarSel' (Variable Selection in Sparse GLARMA Models)
 Performs variable selection in high-dimensional sparse GLARMA models. For
 further details we refer the reader to the paper Gomtsyan et al. (2020),
 <arXiv:2007.08623v1>.

Package: r-cran-glassdoor
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glassdoor_0.9.0-1.ca2004.1_all.deb
Size: 85276
MD5sum: 7fc94eb355e0b767dbabf699205e89e4
SHA1: c86a6909db899c1f1b6f449572dff7b5a024d5fd
SHA256: 2b2385a2316a0026a7876fd6d4e29f7a1193d59c23a94d0823293086948edb6e
SHA512: 3e0204cc50e388788c4e8ec412665e71202aec1f8a58f537987b4cc98a344ce90ae86f81bf1d341faae71302f236eac5555c72f89a7d7b45a66741ea0dc3937c
Homepage: https://cran.r-project.org/package=glassdoor
Description: CRAN Package 'glassdoor' (Interface to 'Glassdoor' API)
 Interacts with the 'Glassdoor' API
 <https://www.glassdoor.com/developer/index.htm>. Allows the user to search
 job statistics, employer statistics, and job progression, where 'Glassdoor'
 provides a breakdown of other jobs a person did after their current one.

Package: r-cran-glba
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glba_0.2.1-1.ca2004.1_all.deb
Size: 75660
MD5sum: e4c37de99c948cae7b3151d069e4cfac
SHA1: 570c11b8cde8ec4e59e68ee6800550602afcc4fd
SHA256: ce7263f9d075b96c78eef13bf17765538d015e583faa2f4b84b38096929df940
SHA512: 21655e01862ea5e8c4fc0daf2bd1f69fda8f013038d0dd5ac73d521bf50669c0bb82fadd7d2bc78949bc6345bd1e2df83648a888c0d69fa1fd3196b742401220
Homepage: https://cran.r-project.org/package=glba
Description: CRAN Package 'glba' (General Linear Ballistic Accumulator Models)
 Analyses response times and accuracies from psychological experiments with
 the linear ballistic accumulator (LBA) model from Brown and Heathcote
 (2008). The LBA model is optionally fitted with explanatory variables on the
 parameters such as the drift rate, the boundary and the starting point
 parameters. A log-link function on the linear predictors can be used to
 ensure that parameters remain positive when needed.

Package: r-cran-gldreg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gldex, r-cran-ddst
Suggests: r-cran-mass, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-gldreg_1.1.1-1.ca2004.1_all.deb
Size: 153240
MD5sum: 1045380a0330749d62aa023c2b0866fb
SHA1: 2d290a520060db1bc2d10bd0f6fe65645a384627
SHA256: 46b0060e1376f2b5e76453c740f312dc94021954e374aac450b0f2ee1b3683e4
SHA512: 6b2c2a190e523d7a5e3a4a60106cc4e7ebce451296a268afa8bf49c52a967e9f9f90d3f746be9c0be2db973d41ea0c5438aad32b1b60060262c7bb38e9540c81
Homepage: https://cran.r-project.org/package=GLDreg
Description: CRAN Package 'GLDreg' (Fit GLD Regression/Quantile/AFT Model to Data)
 Owing to the rich shapes of Generalised Lambda Distributions (GLDs), GLD
 standard/quantile/Accelerated Failure Time (AFT) regression is a competitive
 flexible model compared to standard/quantile/AFT regression. The proposed
 method has some major advantages: 1) it provides a reference line which is
 very robust to outliers with the attractive property of zero mean residuals
 and 2) it gives a unified, elegant quantile regression model from the
 reference line with smooth regression coefficients across different
 quantiles. For AFT model, it also eliminates the needs to try several
 different AFT models, owing to the flexible shapes of GLD. The goodness of
 fit of the proposed model can be assessed via QQ plots and
 Kolmogorov-Smirnov tests and data driven smooth test, to ensure the
 appropriateness of the statistical inference under consideration.
 Statistical distributions of coefficients of the GLD regression line are
 obtained using simulation, and interval estimates are obtained directly from
 simulated data.  References include the following: Su (2015) "Flexible
 Parametric Quantile Regression Model" <doi:10.1007/s11222-014-9457-1>, Su
 (2021) "Flexible parametric accelerated failure time
 model"<doi:10.1080/10543406.2021.1934854>.

Package: r-cran-gldrm
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gldrm_1.6-1.ca2004.1_all.deb
Size: 115704
MD5sum: 425d59848830fa990a33008ec8e86ea3
SHA1: 31ad5cc9d514d0c3bdc12db1c85e179fa5cc6bde
SHA256: c7dca110bb46894da9a344bb1edf1364a1668cc67e251441fbcba3f5947a758d
SHA512: b4353400388dd9d60d58a351c7625a1a9a39894726a7745a50d699db5d00a798b4e16458c06b617fa9eafb83e5d77d77db63ed6cdcf2d2e7afeb763c35d0ae00
Homepage: https://cran.r-project.org/package=gldrm
Description: CRAN Package 'gldrm' (Generalized Linear Density Ratio Models)
 Fits a generalized linear density ratio model (GLDRM).  A GLDRM is a
 semiparametric generalized linear model.  In contrast to a GLM, which
 assumes a particular exponential family distribution, the GLDRM uses a
 semiparametric likelihood to estimate the reference distribution.  The
 reference distribution may be any discrete, continuous, or mixed exponential
 family distribution. The model parameters, which include both the regression
 coefficients and the cdf of the unspecified reference distribution, are
 estimated by maximizing a semiparametric likelihood. Regression coefficients
 are estimated with no loss of efficiency, i.e. the asymptotic variance is
 the same as if the true exponential family distribution were known.  Huang
 (2014) <doi:10.1080/01621459.2013.824892>.  Huang and Rathouz (2012)
 <doi:10.1093/biomet/asr075>.  Rathouz and Gao (2008)
 <doi:10.1093/biostatistics/kxn030>.

Package: r-cran-glm.predict
Architecture: all
Version: 4.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nnet, r-cran-aer, r-cran-survival, r-cran-mass, r-cran-mlogit, r-cran-dfidx, r-cran-survey, r-cran-lme4, r-cran-vgam
Suggests: r-cran-ggplot2, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-glm.predict_4.3-0-1.ca2004.1_all.deb
Size: 299260
MD5sum: 838931a8dd8bcedcd84bdc61b35a3c4e
SHA1: 059786deb71d95819ed56e164f099f7b5b0c02ca
SHA256: df81697306ba539187703aee04961d111b6d88c6a98960f0819ff89ed215ac74
SHA512: 45a38b02ddb3cd2a424750f7c85d2b7db81f57c3e29cc2dde212af1049410e197e47f01fda171149ff7cfe188eb15baefec50494d6035384c4354139998e7ecb
Homepage: https://cran.r-project.org/package=glm.predict
Description: CRAN Package 'glm.predict' (Predicted Values and Discrete Changes for Regression Models)
 Functions to calculate predicted values and the difference between the two
 cases with confidence interval for lm() [linear model], glm() [generalized
 linear model], glm.nb() [negative binomial model], polr() [ordinal logistic
 model], vglm() [generalized ordinal logistic model], multinom() [multinomial
 model], tobit() [tobit model], svyglm() [survey-weighted generalised linear
 models] and lmer() [linear multilevel models] using Monte Carlo simulations
 or bootstrap. Reference: Bennet A. Zelner (2009) <doi:10.1002/smj.783>.

Package: r-cran-glm2
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glm2_1.2.1-1.ca2004.1_all.deb
Size: 48604
MD5sum: 171c47d73c1151ad4b7e4f5aba8bbd4a
SHA1: 97f63f22f12d2ec30bfa801b010d671e9043cf7a
SHA256: 11d8ba447218713e9b2903a60c01c61568440a83125af7054f26a5c82f861078
SHA512: b7ad9b88559bd1e2471ba719f1206372f75ace67adbf8c89642c089bd02e009bd826a3aff279c42fe255c2e5e8279ace9f5475d7fd403282a23a46e2183501f3
Homepage: https://cran.r-project.org/package=glm2
Description: CRAN Package 'glm2' (Fitting Generalized Linear Models)
 Fits generalized linear models using the same model specification as glm in
 the stats package, but with a modified default fitting method that provides
 greater stability for models that may fail to converge using glm.

Package: r-cran-glmbb
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Filename: pool/dists/focal/main/r-cran-glmbb_0.5-1-1.ca2004.1_all.deb
Size: 58696
MD5sum: ddbc3168fb291b3e96954590402de872
SHA1: 4509e209aec7180e266742bb89e0593e86fea55d
SHA256: 58f71b7e43163e2018739ca17aad69f169cec289dab7138d7fc933b8c9d1ffd7
SHA512: 4d6adaf0b3626a9c860be24620ff64a11812bdf217f1900c19fcef52e432a51caa36341a9d623883900d69609f352596d360f232c4db90f16993ca3f4d61a877
Homepage: https://cran.r-project.org/package=glmbb
Description: CRAN Package 'glmbb' (All Hierarchical or Graphical Models for Generalized LinearModel)
 Find all hierarchical models of specified generalized linear model with
 information criterion (AIC, BIC, or AICc) within specified cutoff of minimum
 value.  Alternatively, find all such graphical models.  Use branch and bound
 algorithm so we do not have to fit all models.

Package: r-cran-glmc
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emplik
Filename: pool/dists/focal/main/r-cran-glmc_0.3-1-1.ca2004.1_all.deb
Size: 85216
MD5sum: aea7c5648092886f7a94403c66bb30a3
SHA1: 784707fdd8a9226839f3d580932a564b192f1126
SHA256: 865129263b65e9353fb3c42012f5cc486194ddbf19d898be85e7cf97b2963e77
SHA512: 2a71f2ca2988691b47cbd11bd5369017b8bb018b8bea59d828b2a7d1e3df18696e1ad3535c6f7ff2908bd9aaa99dd422bff1da119559ba2a3a8a1ca0c3741349
Homepage: https://cran.r-project.org/package=glmc
Description: CRAN Package 'glmc' (Fitting Generalized Linear Models Subject to Constraints)
 Fits generalized linear models where the parameters are subject to linear
 constraints. The model is specified by giving a symbolic description of the
 linear predictor, a description of the error distribution, and a matrix of
 constraints on the parameters.

Package: r-cran-glmdm
Architecture: all
Version: 2.60-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glmdm_2.60-1.ca2004.1_all.deb
Size: 71468
MD5sum: 2cb5bf3a63d70f8f0224e6cdeaffa886
SHA1: bf3175205a32bb2c5a25440ede9d5bf1dfee8e00
SHA256: 6906fffe9aecc5022a36d10914eae520e4177b86d5f6000a367d93e42e6dfb68
SHA512: 65b6b3586142519cbb331ac898ccb6f99fd775be503a8ae32f623fcdf8b7829bc5df6c7424b20d6abd6e40657d191fdd870e10d24a91b2dc2e5350626cef30d6
Homepage: https://cran.r-project.org/package=glmdm
Description: CRAN Package 'glmdm' (R Code for Simulation of GLMDM)
 This package contains functions to perform generalized linear mixed
 Dirichlet models using posterior simulation.

Package: r-cran-glme
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-reshape, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-glme_0.1.0-1.ca2004.1_all.deb
Size: 37528
MD5sum: 93e2b8a43905c1a84c37f4fa534ce147
SHA1: a6fe7b33c4f72f269c8457834d9b831c56744f60
SHA256: d13ac08da805cec2ae6f2d9eff5a77c988322d657a3b7e6cfb758b6118e4b2bb
SHA512: de6cf93cf4c36f270b80beec70f732be2610da1bb2bf1d9c070cb1314dfa70286ff8508778d1b17e917d1d9126bd441a8db5c30010499c6964a298a890494c02
Homepage: https://cran.r-project.org/package=glme
Description: CRAN Package 'glme' (Generalized Linear Mixed Effects Models)
 Provides Generalized Inferences based on exact distributions and exact
 probability statements for mixed effect models, provided by such papers as
 Weerahandi and Yu (2020) <doi:10.1186/s40488-020-00105-w> under the widely
 used Compound Symmetric Covariance structure. The package returns the
 estimation of the coefficients in random and fixed part of the mixed models
 by generalized inference.

Package: r-cran-glmertree
Architecture: all
Version: 0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-partykit, r-cran-formula
Suggests: r-cran-vcd, r-cran-lattice, r-cran-betareg, r-cran-glmmtmb, r-cran-lmertest
Filename: pool/dists/focal/main/r-cran-glmertree_0.2-6-1.ca2004.1_all.deb
Size: 580672
MD5sum: 23f1c0a2de4e7c2a42a97a2908f189a2
SHA1: dd85552cfe71d1cb12ff183a6bd10cfd7d6dfbab
SHA256: 8652023c7603b183b7c2fd78b46644bbaf6e956988e614c33b0b179402fa362f
SHA512: c9e8c9db2b241def627b7705b2ad097236650272f332a0faca28632e46703e615e00d2c44c3d5292b10489f792364266e23244d0dce78e0cc7f52468aaf0a78b
Homepage: https://cran.r-project.org/package=glmertree
Description: CRAN Package 'glmertree' (Generalized Linear Mixed Model Trees)
 Recursive partitioning based on (generalized) linear mixed models (GLMMs)
 combining lmer()/glmer() from 'lme4' and lmtree()/glmtree() from 'partykit'.
 The fitting algorithm is described in more detail in Fokkema, Smits,
 Zeileis, Hothorn & Kelderman (2018; <DOI:10.3758/s13428-017-0971-x>).  For
 detecting and modeling subgroups in growth curves with GLMM trees see
 Fokkema & Zeileis (2024; <DOI:10.3758/s13428-024-02389-1>).

Package: r-cran-glmfitmiss
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-abind, r-cran-mass, r-cran-brglm2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glmfitmiss_2.1.0-1.ca2004.1_all.deb
Size: 172300
MD5sum: e77a4a8e845b9527ae807ee46dbaa858
SHA1: c86ad699039b7f30cee4481a18d23572638f1acb
SHA256: 2e89c41c2388e4f634d3d8afc43bacf500ddcefab7b30bc6884fb34283baeb3a
SHA512: 99b70279715ed31e61a448ee55012c3db27e0856e590fbbcf01d2cbb39d5949799c7215efb706296d0ef08af2395590ca4517d1a0945ade6d77e91e1c64c7674
Homepage: https://cran.r-project.org/package=glmfitmiss
Description: CRAN Package 'glmfitmiss' (Fitting GLMs with Missing Data in Both Responses and Covariates)
 Fits generalized linear models (GLMs) when there is missing data in both the
 response and categorical covariates. The functions implement
 likelihood-based methods using the Expectation and Maximization (EM)
 algorithm and optionally apply Firth’s bias correction for improved
 inference. See Pradhan, Nychka, and Bandyopadhyay (2025) <https:>, Maiti and
 Pradhan (2009) <doi:10.1111/j.1541-0420.2008.01186.x>, Maity, Pradhan, and
 Das (2019) <doi:10.1080/00031305.2017.1407359> for further methodological
 details.

Package: r-cran-glmglrt
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-parameters, r-cran-mass
Suggests: r-cran-testthat, r-cran-lme4, r-cran-nlme, r-cran-nnet, r-cran-survival, r-cran-lmertest, r-cran-mgcv, r-cran-gam, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-glmglrt_0.2.2-1.ca2004.1_all.deb
Size: 132600
MD5sum: abab58a7ce03cf738c658816119ed8fb
SHA1: 7cb7b3e3ab488ad748717f03a3452c0ac388ad51
SHA256: 985be21444cdc730ec732bd4a14461f67ceaffe941374e912d39eb6a0475529a
SHA512: 2f11022727ceba2e6d5902bb20fedb415cdf3c10827b3a3e6969c681097444ec904b538f2458f2d0dbf4595c70dd1527f28b2d1e9bdfd6ace838dbfcb750df9d
Homepage: https://cran.r-project.org/package=glmglrt
Description: CRAN Package 'glmglrt' (GLRT P-Values in Generalized Linear Models)
 Provides functions to compute Generalized Likelihood Ratio Tests (GLRT) also
 known as Likelihood Ratio Tests (LRT) and Rao's score tests of simple and
 complex contrasts of Generalized Linear Models (GLMs). It provides the same
 interface as summary.glm(), adding GLRT P-values, less biased than Wald's
 P-values and consistent with profile-likelihood confidence interval
 generated by confint().  See Wilks (1938) <doi:10.1214/aoms/1177732360> for
 the LRT chi-square approximation.  See Rao (1948)
 <doi:10.1017/S0305004100023987> for Rao's score test.  See Wald (1943)
 <doi:10.2307/1990256> for Wald's test.

Package: r-cran-glmm.hp
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mumin, r-cran-ggplot2, r-cran-vegan, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-glmm.hp_0.1-8-1.ca2004.1_all.deb
Size: 50732
MD5sum: 8a4525e4a57e89a38d80b18889fa3851
SHA1: 44fa1a479d50eb30fa2980710acd3949db2ed830
SHA256: ab0317abc89cef5067592ab0137f87f6d5d182936992d227d98f3ec2e9aa1ebe
SHA512: e96e4894876a7b44242522dc21174dc9db47377e42b2e3febe481993156b4f4d0fd73b40343a33bf3a3914b7f29895cb46d0a5f150b5d8fa1fbc333dadc03aa9
Homepage: https://cran.r-project.org/package=glmm.hp
Description: CRAN Package 'glmm.hp' (Hierarchical Partitioning of Marginal R2 for GeneralizedMixed-Effect Models)
 Conducts hierarchical partitioning to calculate individual contributions of
 each predictor (fixed effects) towards marginal R2 for generalized linear
 mixed-effect model (including lm, glm and glmm) based on output of
 r.squaredGLMM() in 'MuMIn', applying the algorithm of Lai J.,Zou Y., Zhang
 S.,Zhang X.,Mao L.(2022)glmm.hp: an R package for computing individual
 effect of predictors in generalized linear mixed models.Journal of Plant
 Ecology,15(6)1302-1307<doi:10.1093/jpe/rtac096>.

Package: r-cran-glmmadaptive
Architecture: all
Version: 0.9-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-matrixstats
Suggests: r-cran-lattice, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-multcomp, r-cran-emmeans, r-cran-estimability, r-cran-effects, r-cran-dharma, r-cran-optimparallel
Filename: pool/dists/focal/main/r-cran-glmmadaptive_0.9-7-1.ca2004.1_all.deb
Size: 376312
MD5sum: 8f4f0ae2c974b0c392fa97bf2e6ac114
SHA1: b4ec5b37af2677cd340d1962980c0d18129af0a1
SHA256: d1820fcda2fe300f988711a52bb17109729e801c534c3e1289a759237a7bfbf6
SHA512: c53020de220f843483f35949a867c9d3b4cf21939ed1dc0b455534aa0397b2a65d739276befcae3363c744bbc2cde197a4b7be6bd4b827d19567346b7ce35fda
Homepage: https://cran.r-project.org/package=GLMMadaptive
Description: CRAN Package 'GLMMadaptive' (Generalized Linear Mixed Models using Adaptive GaussianQuadrature)
 Fits generalized linear mixed models for a single grouping factor under
 maximum likelihood approximating the integrals over the random effects with
 an adaptive Gaussian quadrature rule; Jose C. Pinheiro and Douglas M. Bates
 (1995) <doi:10.1080/10618600.1995.10474663>.

Package: r-cran-glmmcosinor
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2011
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cowplot, r-cran-ggforce, r-cran-ggplot2, r-cran-glmmtmb, r-cran-lme4, r-cran-rlang, r-cran-scales
Suggests: r-cran-cosinor, r-cran-covr, r-cran-dharma, r-cran-dplyr, r-cran-dt, r-cran-flextable, r-cran-ftextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-glmmcosinor_0.2.1-1.ca2004.1_all.deb
Size: 1132048
MD5sum: 3622842be9b35b2b8fa6b6eac975d484
SHA1: 9cc58b945b6abdcdedc7c325bba253863be858a4
SHA256: b11b9e17ebe37fa033bebf5e5b2cf940dabeb685cd70ed503b6300fd1f0ef4da
SHA512: 7bfc2baa31573ce0e08bc624d64edba26f57b0569c7a782949661f897d9a79948cb10fa8555659c8950aeb67dff3d2576d8cb4d18eb56a72109db173873c5acd
Homepage: https://cran.r-project.org/package=GLMMcosinor
Description: CRAN Package 'GLMMcosinor' (Fit a Cosinor Model Using a Generalized Mixed Modeling Framework)
 Allows users to fit a cosinor model using the 'glmmTMB' framework.  This
 extends on existing cosinor modeling packages, including 'cosinor' and
 'circacompare', by including a wide range of available link functions and
 the capability to fit mixed models. The cosinor model is described by
 Cornelissen (2014) <doi:10.1186/1742-4682-11-16>.

Package: r-cran-glmmisrep
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-poisson.glm.mix
Filename: pool/dists/focal/main/r-cran-glmmisrep_0.1.1-1.ca2004.1_all.deb
Size: 278524
MD5sum: 08ff35884418e1056b5432c49e9e21b0
SHA1: 8d8c7053180aff277cc0e6adff97ff75fae864cc
SHA256: 15c322edebd2f37a229f79fe76220286eb9fe8e005df25d22d94d49ad8fa5ebe
SHA512: 4626f83b4c7bd4c8eb5bf29713ff9783eddd826f9924715c73e9ae267505ed6e3729a2d35e8c086cbb52eb7ddbe9b12112c14a4e3e53d256eb70739c00cbe217
Homepage: https://cran.r-project.org/package=glmMisrep
Description: CRAN Package 'glmMisrep' (Generalized Linear Models Adjusting for Misrepresentation)
 Fit Generalized Linear Models to continuous and count outcomes, as well as
 estimate the prevalence of misrepresentation of an important binary
 predictor. Misrepresentation typically arises when there is an incentive for
 the binary factor to be misclassified in one direction (e.g., in insurance
 settings where policy holders may purposely deny a risk status in order to
 lower the insurance premium). This is accomplished by treating a subset of
 the response variable as resulting from a mixture distribution. Model
 parameters are estimated via the Expectation Maximization algorithm and
 standard errors of the estimates are obtained from closed forms of the
 Observed Fisher Information. For an introduction to the models and the
 misrepresentation framework, see Xia et. al., (2023)
 <https://variancejournal.org/article/73151-maximum-likelihood-approaches-to-misrepresentation-models-in-glm-ratemaking-model-comparisons>.

Package: r-cran-glmmrr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 771
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-lattice, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-glmmrr_0.5.0-1.ca2004.1_all.deb
Size: 606488
MD5sum: 80a38866a3632a567d7450b792643421
SHA1: c986e3b55158722a7564361bb8e09ec5cf4a3ff2
SHA256: 87b6eb53f0c206afb7c3554590fb84362ed86902c3a7ed260960b19f46d085b6
SHA512: 8b0b99b02a289135178c8a651c82505c457ba3007337fbf90ddbdf82cc19030ef762524b4f1086666a7c9fde35040d3d0cb60ccf961b89e6ecf3428f2934053f
Homepage: https://cran.r-project.org/package=GLMMRR
Description: CRAN Package 'GLMMRR' (Generalized Linear Mixed Model (GLMM) for Binary RandomizedResponse Data)
 Generalized Linear Mixed Model (GLMM) for Binary Randomized Response Data.
 Includes Cauchit, Compl. Log-Log, Logistic, and Probit link functions for
 Bernoulli Distributed RR data.  RR Designs: Warner, Forced Response,
 Unrelated Question, Kuk, Crosswise, and Triangular.  Reference: Fox, J-P,
 Veen, D. and Klotzke, K. (2018). Generalized Linear Mixed Models for
 Randomized Responses. Methodology. <doi:10.1027/1614-2241/a000153>.

Package: r-cran-glmmselect
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-glmmselect_1.2.0-1.ca2004.1_all.deb
Size: 107540
MD5sum: c241502b3e720362da31012137bf5e93
SHA1: cc7bbef446cad7a721fcaa85502086f9d08a5709
SHA256: eb6c2859e6e0331b22c68d475766b8ad99d9b60d7c4609b9593cfe216e3fedb4
SHA512: bd3f476455fbe43bd1619f7b4fb9fac96a1cd6a226e155edd744d28fc657fb45fff39367950c7e745aa6dc8982955125080e01734ff107532727818a94c036d1
Homepage: https://cran.r-project.org/package=GLMMselect
Description: CRAN Package 'GLMMselect' (Bayesian Model Selection for Generalized Linear Mixed Models)
 A Bayesian model selection approach for generalized linear mixed models.
 Currently, 'GLMMselect' can be used for Poisson GLMM and Bernoulli GLMM.
 'GLMMselect' can select fixed effects and random effects simultaneously.
 Covariance structures for the random effects are a product of a unknown
 scalar and a known semi-positive definite matrix.  'GLMMselect' can be
 widely used in areas such as longitudinal studies, genome-wide association
 studies, and spatial statistics.  'GLMMselect' is based on Xu, Ferreira,
 Porter, and Franck (202X), Bayesian Model Selection Method for Generalized
 Linear Mixed Models, Biometrics, under review.

Package: r-cran-glmmseq
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2913
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-car, r-cran-ggplot2, r-cran-ggpubr, r-cran-glmmtmb, r-cran-lme4, r-cran-lmertest, r-cran-plotly, r-bioc-qvalue, r-cran-pbapply, r-cran-pbmcapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-bioc-deseq2, r-bioc-edger, r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-glmmseq_0.5.5-1.ca2004.1_all.deb
Size: 1618316
MD5sum: d99b18820b52901b25aadd9c2290253d
SHA1: 41e74b303f3fb0c6b63b47592cbcacef6e541394
SHA256: bccbd79e5fd5053fa38c54fd593bf6845dd33730c4c6abce3830f75ee5e6f5f5
SHA512: d382cb1c5246828c967dd30763c9758d4ea2afcecec7fd03f7b01e1efcd8b12dadd42a228a5e4891e1780637639c4a55a6e0a8fa26532765e9f4a2bbaee2720a
Homepage: https://cran.r-project.org/package=glmmSeq
Description: CRAN Package 'glmmSeq' (General Linear Mixed Models for Gene-Level DifferentialExpression)
 Using mixed effects models to analyse longitudinal gene expression can
 highlight differences between sample groups over time. The most widely used
 differential gene expression tools are unable to fit linear mixed effect
 models, and are less optimal for analysing longitudinal data. This package
 provides negative binomial and Gaussian mixed effects models to fit gene
 expression and other biological data across repeated samples. This is
 particularly useful for investigating changes in RNA-Sequencing gene
 expression between groups of individuals over time, as described in:
 Rivellese, F., Surace, A. E., Goldmann, K., Sciacca, E., Cubuk, C., Giorli,
 G., ... Lewis, M. J., & Pitzalis, C. (2022) Nature medicine
 <doi:10.1038/s41591-022-01789-0>.

Package: r-cran-glmnetcr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-glmnetcr_1.0.7-1.ca2004.1_all.deb
Size: 745588
MD5sum: a1a17287a0db1897ed5c1c3eb03e50da
SHA1: 9e3c02ab00abb7c28c0bc1e63b2c9b0a383f9890
SHA256: 7c34b46c7ccdc4d9e57bac80193d2d2954987222a7991431e81dc2ebeac463eb
SHA512: 3eb4c903c99f932b84027e0fa323bab400c0c02e01e587876a0f4d02daa42444f3c51bf9ceb9eb93f0505b1384735fb3e7bdb5983d5abed8e9061fd95e9d0abe
Homepage: https://cran.r-project.org/package=glmnetcr
Description: CRAN Package 'glmnetcr' (Fit a Penalized Constrained Continuation Ratio Model forPredicting an Ordinal Response)
 Penalized methods are useful for fitting over-parameterized models. This
 package includes functions for restructuring an ordinal response dataset for
 fitting continuation ratio models for datasets where the number of
 covariates exceeds the sample size or when there is collinearity among the
 covariates. The 'glmnet' fitting algorithm is used to fit the continuation
 ratio model after data restructuring.

Package: r-cran-glmnetr
Architecture: all
Version: 0.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3094
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-matrix, r-cran-xgboost, r-cran-smoof, r-cran-mlrmbo, r-cran-paramhelpers, r-cran-randomforestsrc, r-cran-rpart, r-cran-torch, r-cran-aorsf, r-cran-dicekriging, r-cran-rgenoud
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-glmnetr_0.6-1-1.ca2004.1_all.deb
Size: 2708568
MD5sum: d5fed2ce983c4122a34b7da2c2eedc12
SHA1: 78edcfcf0e9cdeddea7140da2c39fc9d17c68ab7
SHA256: 7c404aae2fb3c1e8d4f3e5727b853959d07eb3ee1fe01d3ad1b01270a3f7411f
SHA512: 1e0ef6902dced9712aafecf58522840e8e2a61654e26aec47a359da1c2cf322b523c7ffd8b9b9c30b636a2df6369eb0f4fb62f1e91bae7076f7535ea1e0804a9
Homepage: https://cran.r-project.org/package=glmnetr
Description: CRAN Package 'glmnetr' (Nested Cross Validation for the Relaxed Lasso and Other MachineLearning Models)
 Cross validation informed Relaxed LASSO (or more generally elastic net),
 gradient boosting machine ('xgboost'), Random Forest ('RandomForestSRC'),
 Oblique Random Forest ('aorsf'), Artificial Neural Network (ANN), Recursive
 Partitioning ('RPART') or step wise regression models are fit. Cross
 validation leave out samples (leading to nested cross validation) or
 bootstrap out-of-bag samples are used to evaluate and compare performances
 between these models with results presented in tabular or graphical means.
 Calibration plots can also be generated, again based upon (outer nested)
 cross validation or bootstrap leave out (out of bag) samples.  For some
 datasets, for example when the design matrix is not of full rank, 'glmnet'
 may have very long run times when fitting the relaxed lasso model, from our
 experience when fitting Cox models on data with many predictors and many
 patients. This may be remedied by using the 'path=TRUE' option, which is
 passed to the glmnet() and cv.glmnet() calls.  Other packages doing similar
 include 'nestedcv' <https://cran.r-project.org/package=nestedcv>, 'glmnetSE'
 <https://cran.r-project.org/package=glmnetSE> which may provide different
 functionality when performing a nested CV.  Use of the 'glmnetr' has many
 similarities to the 'glmnet' package and it could be helpful for the user of
 'glmnetr' also become familiar with the 'glmnet' package
 <https://cran.r-project.org/package=glmnet>, with the "An Introduction to
 'glmnet'" and "The Relaxed Lasso" being especially useful in this regard.

Package: r-cran-glmnetse
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-glmnetse_0.0.1-1.ca2004.1_all.deb
Size: 44312
MD5sum: d8001b19f40fd7cb4b50dac4b6ac5ae0
SHA1: 998b93b68b96305316c8ba565475dd1038c4df05
SHA256: 00d9384fb55f79fdd0340de387e55bf0fe621a3dcccdc889b479046d104cfce7
SHA512: 8afc39766885d2eecc3ba6eaa53d9cd8b890318c629e5ce57625ecd6338f41fba0599b1f8ac694e9cf18b13ee6de087c380252ed64229e0a0731670f72a0f99a
Homepage: https://cran.r-project.org/package=glmnetSE
Description: CRAN Package 'glmnetSE' (Add Nonparametric Bootstrap SE to 'glmnet' for SelectedCoefficients (No Shrinkage))
 Builds a LASSO, Ridge, or Elastic Net model with 'glmnet' or 'cv.glmnet'
 with bootstrap inference statistics (SE, CI, and p-value) for selected
 coefficients with no shrinkage applied for them. Model performance can be
 evaluated on test data and an automated alpha selection is implemented for
 Elastic Net. Parallelized computation is used to speed up the process. The
 methods are described in Friedman et al. (2010) <doi:10.18637/jss.v033.i01>
 and Simon et al. (2011) <doi:10.18637/jss.v039.i05>.

Package: r-cran-glmnetutils
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-doparallel, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glmnetutils_1.1.9-1.ca2004.1_all.deb
Size: 102864
MD5sum: dbf6107577b5894e8cf20bc8a4522af6
SHA1: d24121b172afe41ee4883ab18db69ba450428d25
SHA256: cdbc4684d61853ba8e3fba78f7a932a8d288bb27826a29ca2d44d3e0c6d75216
SHA512: a322609bba690437cdbbe623e9de8abec29e48b584b66f6b6052d5492ba02956eaed99fb03986978fff51e1573d91518163ed8fcdcb1fd5ff2067a7dd8d443e8
Homepage: https://cran.r-project.org/package=glmnetUtils
Description: CRAN Package 'glmnetUtils' (Utilities for 'Glmnet')
 Provides a formula interface for the 'glmnet' package for elasticnet
 regression, a method for cross-validating the alpha parameter, and other
 quality-of-life tools.

Package: r-cran-glmpack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pbrackets, r-cran-nnet, r-cran-effects, r-cran-aer, r-cran-pscl, r-cran-foreign, r-cran-matrix, r-cran-lme4, r-cran-lmtest, r-cran-sandwich, r-cran-censreg, r-cran-plm
Filename: pool/dists/focal/main/r-cran-glmpack_0.1.0-1.ca2004.1_all.deb
Size: 121708
MD5sum: 12a92e28199c2117979d90779daeaf4e
SHA1: e721c1f325a1ffa89f025def64595f688da0a023
SHA256: 03bda527f757bfe1fcf212cef63623162ad9abbf9b7b46e2626925d14aeec19d
SHA512: 5ae05d59eacc95b7fe3cda48cc91c823d6d4a318311d6594a77bafcfc926fb9e305756a69e83fdb53af4c91260ddf73e3148791aa0fb6c22651f487a2ed15e0b
Homepage: https://cran.r-project.org/package=GLMpack
Description: CRAN Package 'GLMpack' (Data and Code to Accompany Generalized Linear Models, 2ndEdition)
 Contains all the data and functions used in Generalized Linear Models, 2nd
 edition, by Jeff Gill and Michelle Torres. Examples to create all models,
 tables, and plots are included for each data set.

Package: r-cran-glmpathcr
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmpath
Filename: pool/dists/focal/main/r-cran-glmpathcr_1.0.10-1.ca2004.1_all.deb
Size: 747132
MD5sum: ac75f8ab72a6aa1d1566916cb8c11123
SHA1: c72f33a6237395ffa0961ff848778e45e94bc8de
SHA256: 6dfddc6e07034a652d0b8484af43907223addabf67e8f68228bf1c20cd6185b7
SHA512: 44ab722ac1a8eaab0eb288b032092705c8b3e38486e23233e199e870a5d578f74e271c0cb2608d2dbb18339f64356c9e0fd70c1eb7441a1af989a0d5ff39ff76
Homepage: https://cran.r-project.org/package=glmpathcr
Description: CRAN Package 'glmpathcr' (Fit a Penalized Continuation Ratio Model for Predicting anOrdinal Response)
 Provides a function for fitting a penalized constrained continuation ratio
 model using the glmpath algorithm and methods for extracting coefficient
 estimates, predicted class, class probabilities, and plots as described by
 Archer and Williams (2012) <doi:10.1002/sim.4484>.

Package: r-cran-glmpca
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-logisticpca, r-cran-markdown, r-cran-matrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glmpca_0.2.0-1.ca2004.1_all.deb
Size: 224780
MD5sum: 3734d5b10087a3588e637a45d6612d69
SHA1: e20f0c0c2a762af0098c55ed03f41c1d5a2a47cd
SHA256: 873ce8de1c72c11ee57190540dd4cac921b25d15d720514dfd57e78d78cc5cb9
SHA512: 67193107c81edb3edb315044a69ab5c8130011b4b56654f73571958a1b7f1a7629aec62c65f0a59aab9337786b65a7ee9dc5fa9be4668682904f317ec22cabc8
Homepage: https://cran.r-project.org/package=glmpca
Description: CRAN Package 'glmpca' (Dimension Reduction of Non-Normally Distributed Data)
 Implements a generalized version of principal components analysis (GLM-PCA)
 for dimension reduction of non-normally distributed data such as counts or
 binary matrices.  Townes FW, Hicks SC, Aryee MJ, Irizarry RA (2019)
 <doi:10.1186/s13059-019-1861-6>.  Townes FW (2019) <arXiv:1907.02647>.

Package: r-cran-glmpermu
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glmpermu_0.0.1-1.ca2004.1_all.deb
Size: 17056
MD5sum: e26ef85ea6fd1cf6502a44b864a80895
SHA1: b2aa581e80b45f3eb9aa425c1b026f4dcb638d22
SHA256: e57ec483827da660f2ad1c289a0f0105691c2b407251b1e20b57819f9937980e
SHA512: 724e015343e9e3a5181aa0742e4bb07a1323303dfee101afb4482acb77a2b260a9fe2e722d4f22efc483ea8f53478fab7fe90d32dfb00cc4678fea11fbf4099f
Homepage: https://cran.r-project.org/package=glmpermu
Description: CRAN Package 'glmpermu' (Permutation-Based Inference for Generalized Linear Models)
 In practical applications, the assumptions underlying generalized linear
 models frequently face violations, including incorrect specifications of the
 outcome variable's distribution or omitted predictors. These deviations can
 render the results of standard generalized linear models unreliable. As the
 sample size increases, what might initially appear as minor issues can
 escalate to critical concerns. To address these challenges, we adopt a
 permutation-based inference method tailored for generalized linear models.
 This approach offers robust estimations that effectively counteract the
 mentioned problems, and its effectiveness remains consistent regardless of
 the sample size.

Package: r-cran-glmsdata
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glmsdata_1.4-1.ca2004.1_all.deb
Size: 346708
MD5sum: 9cd7ba7b82bb3975c4b63655a1a9e436
SHA1: 35628d50a4da5045b1d8610e4f73e46306f5a0b7
SHA256: acd5150721c67a4949e24299681d3917eb085c7c5b3bdecf69940bda5cb644d0
SHA512: afc64d29a16f310b70b2fb81422b55a575d966fd159922543e47d75c9e0ef8e59ec925ece8b09570952dc14793419b636681df6f3da1d43386703798f1d46b09
Homepage: https://cran.r-project.org/package=GLMsData
Description: CRAN Package 'GLMsData' (Generalized Linear Model Data Sets)
 Data sets from the book Generalized Linear Models with Examples in R by Dunn
 and Smyth.

Package: r-cran-glmsimulator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-stringr, r-cran-dplyr, r-cran-statmod, r-cran-magrittr, r-cran-mass, r-cran-tweedie, r-cran-ggplot2, r-cran-cplm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-glmsimulator_1.0.0-1.ca2004.1_all.deb
Size: 151596
MD5sum: bc388ae2c12c316630568daca4cdd7fc
SHA1: db0aba60073d3d2b33670f99697743ddd51002f1
SHA256: cafc264c3cb3e4c48a163d8bf2c6d766442b00e1ac3fdd41d48f3a40ff5a4060
SHA512: b4c6a1fde2683b0ed91b9db6839eb49fce24d7864b9fee7e596f70df6788fc3f4a3c7cb2b1c0293169ffaed2f04d47965365012fd72fd9bd717b88fed9af5ccf
Homepage: https://cran.r-project.org/package=GlmSimulatoR
Description: CRAN Package 'GlmSimulatoR' (Creates Ideal Data for Generalized Linear Models)
 Creates ideal data for all distributions in the generalized linear model
 framework.

Package: r-cran-glmtoolbox
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-rfast, r-cran-formula, r-cran-mass, r-cran-statmod, r-cran-suppdists, r-cran-broom
Suggests: r-cran-aplore3, r-cran-islr, r-cran-pscl, r-cran-glmsdata
Filename: pool/dists/focal/main/r-cran-glmtoolbox_0.1.12-1.ca2004.1_all.deb
Size: 1142924
MD5sum: 9131cbbed62a7ceed90739241c451c52
SHA1: cbd9976121a5de4c1af203af2a1cf1d6d2550637
SHA256: b67c6d3734bc5726ee97fba615f5a0915ea7faeda5f8223e8ca44f05059674fb
SHA512: 0652f52347f6b363503bc7a3bb904e511f21968276a8928fdeb624bfdbbe62a14ddcaa967e825d769e186f70e8a682a46329b7f51a713842ed435946720d4bd9
Homepage: https://cran.r-project.org/package=glmtoolbox
Description: CRAN Package 'glmtoolbox' (Set of Tools to Data Analysis using Generalized Linear Models)
 Set of tools for the statistical analysis of data using: (1) normal linear
 models; (2) generalized linear models; (3) negative binomial regression
 models as alternative to the Poisson regression models under the presence of
 overdispersion; (4) beta-binomial and random-clumped binomial regression
 models as alternative to the binomial regression models under the presence
 of overdispersion; (5) Zero-inflated and zero-altered regression models to
 deal with zero-excess in count data; (6) generalized nonlinear models; (7)
 generalized estimating equations for cluster correlated data.

Package: r-cran-glmtrans
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel, r-cran-caret, r-cran-assertthat, r-cran-formatr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-glmtrans_2.1.0-1.ca2004.1_all.deb
Size: 404864
MD5sum: 03461affa83d25acd93a411b0a83c880
SHA1: 8ceca2e1bb2cfec55b853fd8f9e49ef0e9cef0a5
SHA256: 25e7ab331f808790ce5234a225abfc302f57eb91742969febfac49fdd9c0ccf3
SHA512: ed5f0446814ad545cee57e07a97645468a02f4217fd27e0ca382049d6382466db18c9ebdfb03b09ef8b7d50723cb27dd3e51617ec768be8fe993ba0b286608ac
Homepage: https://cran.r-project.org/package=glmtrans
Description: CRAN Package 'glmtrans' (Transfer Learning under Regularized Generalized Linear Models)
 We provide an efficient implementation for two-step multi-source transfer
 learning algorithms in high-dimensional generalized linear models (GLMs).
 The elastic-net penalized GLM with three popular families, including linear,
 logistic and Poisson regression models, can be fitted. To avoid negative
 transfer, a transferable source detection algorithm is proposed. We also
 provides visualization for the transferable source detection results. The
 details of methods can be found in "Tian, Y., & Feng, Y. (2023). Transfer
 learning under high-dimensional generalized linear models. Journal of the
 American Statistical Association, 118(544), 2684-2697.".

Package: r-cran-glmtree
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 520
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-partykit, r-cran-magrittr, r-cran-dplyr, r-cran-caret
Suggests: r-cran-factominer, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-glmtree_0.3.1-1.ca2004.1_all.deb
Size: 312464
MD5sum: 2691a3ed7d306607954ab5be5425d32c
SHA1: a3e9d83a28cbd8d60675cc641c94885c9a17b90b
SHA256: bb9a362aa340d5e748d3fa603605537b3b5ddd6c1475c5d940eb443d90bc9529
SHA512: 75c961d988a85ffd23b44f52c5274ff79320e04b3ba508935ba2ea3055f5b7d1bdc9371ba859c6a7cbeb7c5520dc84321f72fe182f25f602916d6281b57a6493
Homepage: https://cran.r-project.org/package=glmtree
Description: CRAN Package 'glmtree' (Logistic Regression Trees)
 A logistic regression tree is a decision tree with logistic regressions at
 its leaves. A particular stochastic expectation maximization algorithm is
 used to draw a few good trees, that are then assessed via the user's
 criterion of choice among BIC / AIC / test set Gini. The formal development
 is given in a PhD chapter, see Ehrhardt (2019)
 <https://github.com/adimajo/manuscrit_these/releases/>.

Package: r-cran-glmulti
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-leaps
Suggests: r-cran-mass, r-cran-aod, r-cran-lme4, r-cran-pscl, r-cran-survival, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-glmulti_1.0.8-1.ca2004.1_all.deb
Size: 245116
MD5sum: 334f26e5e0d6ffa0f50cabe3dd83ffb0
SHA1: ab00330963e322cf4eb0d2cc42b22b2e2c9565fb
SHA256: 854910231f93e563a220853cd1750d18ff189a6b55e7c707939be6662d174922
SHA512: 6e59f9a17ee06394d057d0a33c549e4d6b33cb346bb56fb30bcdd67c06c4bc6df982d511e37ae6165ca6c167265a0b926cbb39a5452049e3345931e444260cfd
Homepage: https://cran.r-project.org/package=glmulti
Description: CRAN Package 'glmulti' (Model Selection and Multimodel Inference Made Easy)
 Automated model selection and model-averaging. Provides a wrapper for glm
 and other functions, automatically generating all possible models (under
 constraints set by the user) with the specified response and explanatory
 variables, and finding the best models in terms of some Information
 Criterion (AIC, AICc or BIC). Can handle very large numbers of candidate
 models. Features a Genetic Algorithm to find the best models when an
 exhaustive screening of the candidates is not feasible.

Package: r-cran-glmvsd
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-ncvreg, r-cran-brglm
Filename: pool/dists/focal/main/r-cran-glmvsd_1.5-1.ca2004.1_all.deb
Size: 47072
MD5sum: 90d08ad07a32bc5c69492bdac3a4a89f
SHA1: fa81f0054c0aac06c69e3e728adffc726089e235
SHA256: 0faa6132ad501a58fe7287e2cf07fd4bb62388f56730ab70ec75d8e0a0169a69
SHA512: 2a906703f9594bb57836bd4f1586699a3256c7dc90d0c3734bc70c5d2ae4776cb1cb3db8bea780541b0f4ad5fde8c39fe7e513a3ca03cc261a21c9456554473b
Homepage: https://cran.r-project.org/package=glmvsd
Description: CRAN Package 'glmvsd' (Variable Selection Deviation Measures and Instability Tests forHigh-Dimensional Generalized Linear Models)
 Variable selection deviation (VSD) measures and instability tests for
 high-dimensional model selection methods such as LASSO, SCAD and MCP, etc.,
 to decide whether the sparse patterns identified by those methods are
 reliable.

Package: r-cran-glmx
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-formula, r-cran-lmtest, r-cran-sandwich
Suggests: r-cran-aer, r-cran-gld, r-cran-numderiv, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-glmx_0.2-1-1.ca2004.1_all.deb
Size: 185820
MD5sum: f582cabb34d8888ec152120a4b885d88
SHA1: 1c35256dd9fbc017dc085c7598bacf9f1d0bbf04
SHA256: 4af4c4ffed648a754b6c2f362761ff217bc94077186dd74cb613e8650d28b16c
SHA512: 703e482be3d0bb87a15bef01117e175484a06a656bda9123d272f5d0b7c093a0398f10b919e743af062b9ef5cff3e73649b6c6664ba771292fbe8df1ac9d88b4
Homepage: https://cran.r-project.org/package=glmx
Description: CRAN Package 'glmx' (Generalized Linear Models Extended)
 Extended techniques for generalized linear models (GLMs), especially for
 binary responses, including parametric links and heteroscedastic latent
 variables.

Package: r-cran-glmxdiag
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-glmxdiag_1.0.0-1.ca2004.1_all.deb
Size: 98040
MD5sum: 1dd3f7d1589e9522c84641f5a6327ba2
SHA1: f1fac3e4a04d1fc71d890b854d2857f3b626e39c
SHA256: 4c0ae6641b0d475b204e5ec206785fb1c89d8154db8a5f27504a73321cd9800f
SHA512: bd2f84f15da68d00602082bcd4a59ac934291a600a9f0b5b9d549190baaabd1b6959a846e7ac6f261b52bf9d538eda089abcf1b24f3e4070bcbf7c5342f2fef0
Homepage: https://cran.r-project.org/package=glmxdiag
Description: CRAN Package 'glmxdiag' (A Collection of Graphic Tools for GLM Diagnostics and someExtensions)
 Provides diagnostic graphic tools for GLMs, beta-binomial regression model
 (estimated by 'VGAM' package), beta regression model (estimated by 'betareg'
 package) and negative binomial regression model (estimated by 'MASS'
 package). Since most of functions implemented in 'glmxdiag' already exist in
 other packages, the aim is to provide the user unique functions that work on
 almost all regression models previously specified. Details about some of the
 implemented functions can be found in Brown (1992) <doi:10.2307/2347617>,
 Dunn and Smyth (1996) <doi:10.2307/1390802>, O'Hara Hines and Carter (1993)
 <doi:10.2307/2347405>, Wang (1985) <doi:10.2307/1269708>.

Package: r-cran-globaldeviance
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall
Filename: pool/dists/focal/main/r-cran-globaldeviance_0.4-1.ca2004.1_all.deb
Size: 70108
MD5sum: c9c8855a09f9144c491d8fbb2a5babe5
SHA1: 205652133401185f3e4a89ba03ea15f85c794c65
SHA256: cf761bf206930f206f0b6f0b174c3dd9cfc2e392c29c83d961d139eae109aae4
SHA512: 1dbdfe41cf1272713d26d34039b3de5177f9c1cbf87373980c7b72b39cdb2abc436c02b4187824c123a4efe6f869851667961524ec3d536a959090bfb92ee936
Homepage: https://cran.r-project.org/package=GlobalDeviance
Description: CRAN Package 'GlobalDeviance' (Global Deviance Permutation Tests)
 permutation based global test with deviance as test statistic

Package: r-cran-globalfit
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil
Filename: pool/dists/focal/main/r-cran-globalfit_1.2-1.ca2004.1_all.deb
Size: 344360
MD5sum: 1d30d3034c2d91ed287a3af21d74ed26
SHA1: 261bc2af38221947e91dd0668c9145ad18514621
SHA256: 4988bc40727aaf5296efda11a6bb98d407d89aec4e2e1aa10b6d393889a1ace2
SHA512: 9bde35758b5315a653e6e7e1125372b0412919b19edfacda79c4f1e6169fe847d72643a2ca91e6457690609daef8c6f48e921b9c41f1ea31496da48b92e6783c
Homepage: https://cran.r-project.org/package=GlobalFit
Description: CRAN Package 'GlobalFit' (Bi-Level Optimization of Metabolic Network Models)
 Initial metabolic networks often inaccurately predict in-silico growth or
 non-growth if compared to in-vivo data. This package refines metabolic
 network models by making networks changes (i.e., removing, adding, changing
 reversibility of reactions; adding and removing biomass metabolites) and
 simultaneously matching sets of experimental growth and non-growth data
 (e.g., KO-mutants, mutants grown under different media conditions,...)

Package: r-cran-globalgsa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-globalgsa_1.0-1.ca2004.1_all.deb
Size: 52012
MD5sum: 57c47116257599a6256e80fdddcf942b
SHA1: 2db2fb4d9807ce585778f555053dd89f58cea651
SHA256: dc3e29830d459bc4f412addb6d15de746dcabb93fe3f9a43e09cee646d14e593
SHA512: 74175ef2e05f41217d62df52ba76a7716a607f34b6267ae9d07e7b605521d9ca8105346f28a3cd69e06826ae475e40ace186f12f5bd51ec028f2d91ca6707059
Homepage: https://cran.r-project.org/package=globalGSA
Description: CRAN Package 'globalGSA' (Global Gene-Set Analysis for Association Studies)
 Implementation of three different Gene set analysis (GSA) algorithms for
 combining the individual pvalues of a set of genetic variats (SNPs) in a
 gene level pvalue. The implementation includes the selection of the best
 inheritance model for each SNP.

Package: r-cran-globaloptions
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-getoptlong
Filename: pool/dists/focal/main/r-cran-globaloptions_0.1.2-1.ca2004.1_all.deb
Size: 416960
MD5sum: eabd0d90518b024eef8a64fb542f5f0b
SHA1: ee2f4b0c49f40d9b76da4899fa4972c36b18c28c
SHA256: 6210e8f398d88832bd98bf43b4d264b46de31e09782175a2c2114eb842ec3fd7
SHA512: 4c0f0e581535e6b97c297556f838ab043c31fec30adec64735e0f7bf1f376920902b7dd6b4c2909f23b2604a1251edd0fb9d6bce5ab47a0413b948b293acce0e
Homepage: https://cran.r-project.org/package=GlobalOptions
Description: CRAN Package 'GlobalOptions' (Generate Functions to Get or Set Global Options)
 It provides more configurations on the option values such as validation and
 filtering on the values, making options invisible or private.

Package: r-cran-globals
Architecture: all
Version: 0.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-codetools
Filename: pool/dists/focal/main/r-cran-globals_0.18.0-1.ca2004.1_all.deb
Size: 157376
MD5sum: 2337d3dcee4215eb6630cfb3a0f6577e
SHA1: 41bdc0f511b924f47ee073d2b4cdbc3f1b0913ab
SHA256: 04f4ff8a5bcba7487dcf0a33172b94bac33ed3b9c8dc626dafb25c09a8c00e1b
SHA512: e9666c418584b05c93052410d4fc9a07413a4d0c554a34e04cd516fe8f8b105cf1a7a1b079b1d0037e4ef780c9ce983a4570905c8bfb0ed03b48fcc550c03caa
Homepage: https://cran.r-project.org/package=globals
Description: CRAN Package 'globals' (Identify Global Objects in R Expressions)
 Identifies global ("unknown" or "free") objects in R expressions by code
 inspection using various strategies (ordered, liberal, conservative, or
 deep-first search). The objective of this package is to make it as simple as
 possible to identify global objects for the purpose of exporting them in
 parallel, distributed compute environments.

Package: r-cran-globaltrends
Architecture: all
Version: 0.0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2267
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-forcats, r-cran-forecast, r-cran-ggplot2, r-cran-gtrendsr, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-rsqlite, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-globaltrends_0.0.14-1.ca2004.1_all.deb
Size: 1393432
MD5sum: d95c24fbe9b8c76beb57440bc6859f2b
SHA1: 4d3fd8e4295c42e62b43e34f5fc936e81cfdf614
SHA256: a0c849866122fc3e5653d5f597474acf95e43c4e9df72d0c550516cb6922b634
SHA512: 73ca49ae2ea55e25203ebf6e6a1a8b57688b7d2acb2b39de4dd6bd3c187b499bb15752f58d4aa4ccdbe8bcdde9a41d469e613b95000db87952e55513edc6c214
Homepage: https://cran.r-project.org/package=globaltrends
Description: CRAN Package 'globaltrends' (Download and Measure Global Trends Through Google Search Volumes)
 Google offers public access to global search volumes from its search engine
 through the Google Trends portal. The package downloads these search volumes
 provided by Google Trends and uses them to measure and analyze the
 distribution of search scores across countries or within countries. The
 package allows researchers and analysts to use these search scores to
 investigate global trends based on patterns within these scores. This offers
 insights such as degree of internationalization of firms and organizations
 or dissemination of political, social, or technological trends across the
 globe or within single countries.  An outline of the package's
 methodological foundations and potential applications is available as a
 working paper:
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3969013>.

Package: r-cran-globe
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-globe_1.2-0-1.ca2004.1_all.deb
Size: 86008
MD5sum: 8231786fcf0e7ae6ba070ece94243944
SHA1: 4b07dbd66b617a8f81791bb80d2d0fe8a112f6ed
SHA256: ed9642f92ad2aeac8c8c1acc49b3478ee3660f6d22a63e946aaedebb8d62607d
SHA512: ba960d5894d92795a4d0cf9fbae40e82e26e1a60a8bb43fda7c7b532af76ebe2db646943364bdd623839559fd598ec31212b3258b5a0a76fc5d89942b1eedde5
Homepage: https://cran.r-project.org/package=globe
Description: CRAN Package 'globe' (Plot 2D and 3D Views of the Earth, Including Major Coastline)
 Basic functions for plotting 2D and 3D views of a sphere, by default the
 Earth with its major coastline, and additional lines and points.

Package: r-cran-glober
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-genlasso, r-cran-fda, r-cran-ggplot2, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-glober_1.0-1.ca2004.1_all.deb
Size: 934460
MD5sum: 5cba099e8a496a67147d46c158584b38
SHA1: c0128b6175249cb08895fbc51afb8a75624658ee
SHA256: 11327d0be6d4e921e3c0871997b7ec9145f260db707572c6ae8c4d83fa6d28dc
SHA512: c62eabd75e98b007170c24ed2610dc09309a607bfc1a57f2f5aefc991c682a8d4370f16196c6889dd896a5cb1192d325da98dfb18c8ca983dc89a93d5f62beec
Homepage: https://cran.r-project.org/package=glober
Description: CRAN Package 'glober' (Estimating Functions with Multivariate B-Splines)
 Generalized LassO applied to knot selection in multivariate B-splinE
 Regression (GLOBER) implements a novel approach for estimating functions in
 a multivariate nonparametric regression model based on an adaptive knot
 selection for B-splines using the Generalized Lasso. For further details we
 refer the reader to the paper Savino, M. E. and Lévy-Leduc, C. (2023),
 <arXiv:2306.00686>.

Package: r-cran-globfpr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-httr2, r-cran-terra, r-cran-lwgeom, r-cran-rlang, r-cran-cli
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-globfpr_0.1.3-1.ca2004.1_all.deb
Size: 217856
MD5sum: 8a586ced865147fc714ab173466e5fa5
SHA1: 831a96058b22948c0a8c7891029524598e2af5df
SHA256: 402b77a684178559f0b981545e70df86f2bf1df63e9d2c5b42e27c7c082c5084
SHA512: b7cdf17d4c2b729d93f926ff002e495703ce2b25e80fc6c1c7f085a25a2580fed9c0286b129804f8688d2665b6bf7c8d29491ebb7267a7e3c64b99a857949d11
Homepage: https://cran.r-project.org/package=gloBFPr
Description: CRAN Package 'gloBFPr' (Access Global Building Height Datasets)
 Provides tools to access, search, and download global 3D building footprint
 datasets (3D-GloBFP) generated by Che et al. (2024)
 <doi:10.5194/essd-16-5357-2024>.  The package includes functions to retrieve
 metadata, filter by bounding box, and download building height tiles.

Package: r-cran-glogis
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-sandwich
Suggests: r-cran-strucchange, r-cran-fxregime, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-glogis_1.0-2-1.ca2004.1_all.deb
Size: 136136
MD5sum: 4945b086196b8a323cba289ab1c774dc
SHA1: 96d1b0d096a9d06c8953c3e2bd282d67512db611
SHA256: 14cbf6a99c67b005c9ea2ff97182ee2f9b68bc88f22b368d78483ad95c151843
SHA512: 7bd3faa388ed0bee7762474a1f7f52bd80556a7eb75501973694d526732ae49e8e581c986dc3aad3e6dc4a1c2cf2ba017d1677e29a93741d7e3ad909c9d6fbd2
Homepage: https://cran.r-project.org/package=glogis
Description: CRAN Package 'glogis' (Fitting and Testing Generalized Logistic Distributions)
 Tools for the generalized logistic distribution (Type I, also known as
 skew-logistic distribution), encompassing basic distribution functions (p,
 q, d, r, score), maximum likelihood estimation, and structural change
 methods.

Package: r-cran-glorenz
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lorenzregression, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-glorenz_0.1.1-1.ca2004.1_all.deb
Size: 19820
MD5sum: ef8cc49cc045a4afd5f0edacd70b822b
SHA1: 0b1c1a23c1269f1403887a9bbdbbc5fbfe1b342b
SHA256: 3533a67e236b2a9d20964c9e8a39ee79169382a154ea23594f4e55c0e11d4709
SHA512: 86fbf0ae3c60a83fe6edee95e0da148d49d0684edbcf84fcceab1bd53f30136ee2138d9f3659f6c9b983f9ad112740b9f4bd0a5fc4797912f9b9f048c1c8506f
Homepage: https://cran.r-project.org/package=glorenz
Description: CRAN Package 'glorenz' (Transformed and Relative Lorenz Curves for Survey Weighted Data)
 Functions for constructing Transformed and Relative Lorenz curves with
 survey sampling weights. Given a variable of interest measured in two groups
 with scaled survey weights so that their hypothetical populations are of
 equal size, tlorenz() computes the proportion of members of the group with
 smaller values (ordered from smallest to largest) needed for their sum to
 match the sum of the top qth percentile of the group with higher values.
 rlorenz() shows the fraction of the total value of the group with larger
 values held by the pth percentile of those in the group with smaller values.
 Fd() is a survey weighted cumulative distribution function and Eps() is a
 survey weighted inverse cdf used in rlorenz(). Ramos, Graubard, and
 Gastwirth (2025) <doi:10.1093/jrsssa/qnaf044>.

Package: r-cran-glossa
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2613
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bs4dash, r-cran-shiny, r-cran-automap, r-cran-blockcv, r-cran-dbarts, r-cran-dplyr, r-cran-dt, r-cran-geothinner, r-cran-ggplot2, r-cran-htmltools, r-cran-leaflet, r-cran-markdown, r-cran-mcp, r-cran-proc, r-cran-sf, r-cran-shinywidgets, r-cran-sparkline, r-cran-svglite, r-cran-terra, r-cran-tidyterra, r-cran-waiter, r-cran-zip
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-matrixstats, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-glossa_1.2.1-1.ca2004.1_all.deb
Size: 1377220
MD5sum: fe158f1db78f92fe750cdacbbe8e3dec
SHA1: 857e0b0d39299a4401948269dc2a87311f29e63e
SHA256: a83f9168d151e7e151eea21dbf3da5471fda41f39b382252dab9da2f41cf4f32
SHA512: e3a9e417d724cad8152c59653e5d041f168ba592ca2102dffa30139c40aff88cb8c12171dcb017ae8ef4cb283a1287fbd82dcc4e8fb5610812cb69595590ef22
Homepage: https://cran.r-project.org/package=glossa
Description: CRAN Package 'glossa' (User-Friendly 'shiny' App for Bayesian Species DistributionModels)
 A user-friendly 'shiny' application for Bayesian machine learning analysis
 of marine species distributions. GLOSSA (Global Ocean Species
 Spatio-temporal Analysis) uses Bayesian Additive Regression Trees (BART;
 Chipman, George, and McCulloch (2010) <doi:10.1214/09-AOAS285>) to model
 species distributions with intuitive workflows for data upload, processing,
 model fitting, and result visualization. It supports presence-absence and
 presence-only data (with pseudo-absence generation), spatial thinning,
 cross-validation, and scenario-based projections. GLOSSA is designed to
 facilitate ecological research by providing easy-to-use tools for analyzing
 and visualizing marine species distributions across different spatial and
 temporal scales.

Package: r-cran-glossary
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kableextra, r-cran-knitr, r-cran-markdown, r-cran-rvest, r-cran-xml2, r-cran-yaml
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glossary_1.0.0-1.ca2004.1_all.deb
Size: 68004
MD5sum: 458af799d996acf29c546ef47a6b7643
SHA1: b9cf7c230d06f323daae189a7a5c0f6b3a83f2fb
SHA256: 193ba966e379f36b7d8500746bf90c4b90c4ecb73676fcf6133cb1317debdfa8
SHA512: 11a8decfc20014369dbce2f84a4bc6299fb0ae541f4e232a0fde8745b835b5668e904a9391575c68c35ec5353cfa39131c241268008bd9441fca296f464fa5a8
Homepage: https://cran.r-project.org/package=glossary
Description: CRAN Package 'glossary' (Glossaries for Markdown and Quarto Documents)
 Add glossaries to markdown and quarto documents by tagging individual words.
 Definitions can be provided inline or in a separate file.

Package: r-cran-glossr
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2590
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-knitr, r-cran-purrr, r-cran-rlang, r-cran-cli, r-cran-yaml, r-cran-systemfonts
Suggests: r-cran-bookdown, r-cran-testthat, r-cran-rmarkdown, r-cran-stringr, r-cran-htmltools, r-cran-covr
Filename: pool/dists/focal/main/r-cran-glossr_0.8.0-1.ca2004.1_all.deb
Size: 687552
MD5sum: 64f1f9516d772cf19128c470865837f1
SHA1: 58940bccf309af956df28b35a7803d616c42d021
SHA256: 9bb701b264b7624c798b423de5ec486967ada615b33cd94f26248ddc3bd97d96
SHA512: f67e11515edccdfcd2b4eab226b912fdd62395c78d7bb1abf32642eb49c7efd2cf7c1246bfa743e13250bc4d674a942bd17daf8d1c571f148f8f524a3c85f321
Homepage: https://cran.r-project.org/package=glossr
Description: CRAN Package 'glossr' (Use Interlinear Glosses in R Markdown)
 Read examples with interlinear glosses from files or from text and print
 them in a way compatible with both Latex and HTML outputs.

Package: r-cran-glottospace
Architecture: all
Version: 0.0.112-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2703
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-sf, r-cran-tibble, r-cran-tidyr, r-cran-tmap, r-cran-units, r-cran-writexl
Suggests: r-cran-cluster, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-mapedit, r-cran-plotly, r-cran-rcolorbrewer, r-cran-s2, r-cran-scales, r-cran-vegan, r-cran-viridislite, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-glottospace_0.0.112-1.ca2004.1_all.deb
Size: 2564972
MD5sum: f882c0c6b2a0ba5271c52cdd1cf47229
SHA1: 0a2c9bf5adac2d65bb3fde6dc96babfa9d506bca
SHA256: 2539a69cfbb41ea9185b7ddb23800d08f8eb388f6b820c16a0683d1cac84b3fd
SHA512: dd712eab6132af77ec6232acf9c1402ab4d50fb0c1bc69a1538026f13fb163f9d54419fe256d069d2146cf94e453b718fb99e00dc1d6824980e29751116431d9
Homepage: https://cran.r-project.org/package=glottospace
Description: CRAN Package 'glottospace' (Language Mapping and Geospatial Analysis of Linguistic andCultural Data)
 Streamlined workflows for geolinguistic analysis, including: accessing
 global linguistic and cultural databases, data import, data entry, data
 cleaning, data exploration, mapping, visualization and export.

Package: r-cran-glrt
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-glrt_2.0-1.ca2004.1_all.deb
Size: 144048
MD5sum: faae002b121e67e1f2c9f04380e7bc55
SHA1: aace9c6bcafe9e60e055b148fe029d38d089eac9
SHA256: b40016a2ce63b0b0f32bff4679714ffaded7a0fc47666bb53391537e99999648
SHA512: b4235e38d520f8d15c32f86a70ca9388ec082fd378bf2de4585ed39175ccb60dd721314bc12fe91563024a66e7c43757e8bca62c6883800bf90442f3a96caf73
Homepage: https://cran.r-project.org/package=glrt
Description: CRAN Package 'glrt' (Generalized Logrank Tests for Interval-censored Failure TimeData)
 Functions to conduct four generalized logrank tests and a score test under a
 proportional hazards model

Package: r-cran-glrth
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-glrth_0.2.0-1.ca2004.1_all.deb
Size: 16892
MD5sum: 973cc92b1bfb4f2c201dc71fb9683892
SHA1: 6d2942c1bc5a50d3c7013ada0c73d3b503175c84
SHA256: 09811e2d7acade716d1fab056df4e92fd192b686eab1f8362eca7a88854848e1
SHA512: ef9e47c981e3b62ac7fb2c22fe1e58eb7e0d56faa30e160aaf3117a7df42c6bf39dc5d118ecfc5068905cccd5d518efa119afbf3d246dc0eefa66b025d83ac12
Homepage: https://cran.r-project.org/package=gLRTH
Description: CRAN Package 'gLRTH' (Genome-Wide Association and Linkage Analysis under Heterogeneity)
 Likelihood ratio tests for genome-wide association and genome-wide linkage
 analysis under heterogeneity.

Package: r-cran-glsme
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor
Suggests: r-cran-ape, r-cran-mvslouch
Filename: pool/dists/focal/main/r-cran-glsme_1.0.5-1.ca2004.1_all.deb
Size: 70864
MD5sum: 35c8e879de11701f7fe052a55e338c85
SHA1: 94f3b69268919c409452a85e1e5b06253656cc28
SHA256: 64cd0b087e350f2dc481dcdadb184128147503ea3233ddc23d648ee6dc6a8cb5
SHA512: 35e9b857417c0ce4156d5d4e78a81502e64cf6e2cfb312307af69a1c6a1ab89759c5ce176519d33d9b3365645f40a454bc10d3546547e5edf4098ab44e996023
Homepage: https://cran.r-project.org/package=GLSME
Description: CRAN Package 'GLSME' (Generalized Least Squares with Measurement Error)
 Performs linear regression with correlated predictors, responses and
 correlated measurement errors in predictors and responses, correcting for
 biased caused by these.

Package: r-cran-gluedo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glue
Filename: pool/dists/focal/main/r-cran-gluedo_0.1.0-1.ca2004.1_all.deb
Size: 14916
MD5sum: 4fd33ee5c54fa12060f8c2ec1be9f0f8
SHA1: 8f634953dd677f8ec322800274f06fc8543f2772
SHA256: 14012be9fd1b534cffdd1adeb469e240bfbe7697b851f2bd3184ad3e3fcc2813
SHA512: 7e8f3de7de5f63084e6864aaba6dfd575fcfc07e20e994657d9defb2fa374b903246d66eade6157780c7e49e346f348c9bbfadbde05f9e934effb06bd5ef81d6
Homepage: https://cran.r-project.org/package=glueDo
Description: CRAN Package 'glueDo' (Wrapper Functions for the 'glue' Library)
 Provides convenient wrapper functions around the 'glue' library for common
 string interpolation tasks. The package simplifies the process of combining
 'glue' string templating with common R functions like message(), warning(),
 stop(), print(), cat(), and file writing operations. Instead of manually
 calling glue() and then passing the result to these functions, 'glueDo'
 provides direct wrapper functions that handle both steps in a single call.
 This is particularly useful for logging, error handling, and formatted
 output in R scripts and packages. The main reference for the underlying
 'glue' package is Hester and Bryan (2022)
 <https://CRAN.R-project.org/package=glue>.

Package: r-cran-gluedown
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-magrittr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-httr, r-cran-knitr, r-cran-markdown, r-cran-mockr, r-cran-rmarkdown, r-cran-rvest, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-gluedown_1.0.9-1.ca2004.1_all.deb
Size: 265220
MD5sum: 5d5f388a750a2e51e64df2f453c23c21
SHA1: 696301daee187488da6e5429d4784937e309ff61
SHA256: c4a481005147109c1c3a0d2e11d08cc89db458f110c926d166d5a42443fbd20b
SHA512: d04b455e45999df4c7ee3f1e6ee316c3df06235425e0e671b19a2f251a6f4cad57c6e45c792a2bccbdb1b471907b2fe9b5736851db352e97d0078c7564d13962
Homepage: https://cran.r-project.org/package=gluedown
Description: CRAN Package 'gluedown' (Wrap Vectors in Markdown Formatting)
 Ease the transition between R vectors and markdown text. With 'gluedown' and
 'rmarkdown', users can create traditional vectors in R, glue those strings
 together with the markdown syntax, and print those formatted vectors
 directly to the document. This package primarily uses GitHub Flavored
 Markdown (GFM), an offshoot of the unambiguous CommonMark specification by
 John MacFarlane (2019) <https://spec.commonmark.org/>.

Package: r-cran-gluvarpro
Architecture: all
Version: 7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-pracma, r-cran-scales, r-cran-tidyr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-gluvarpro_7.0-1.ca2004.1_all.deb
Size: 314124
MD5sum: 8b2bed689b6b1811654af3e6c664f353
SHA1: 87eb0cf17b022ecfc4d2c09a2e37f616f58f9cdc
SHA256: 1ef2e19c3029d773414fe54f91912ddd393cad01e409cd84eb466f656933a395
SHA512: ad451281d65da54de01dbe758bb2ffabbf96b8839924d334e33a5a7b7180033823c1f21ab7cbc2de0abfe5d0fe706a642995fb6f2c2fec613abd37f137e9864b
Homepage: https://cran.r-project.org/package=gluvarpro
Description: CRAN Package 'gluvarpro' (Glucose Variability Measures from Continuous Glucose MonitoringData)
 Calculate different glucose variability measures, including average measures
 of glycemia, measures of glycemic variability and measures of glycemic risk,
 from continuous glucose monitoring data.  Boris P. Kovatchev, Erik Otto,
 Daniel Cox, Linda Gonder-Frederick, and William Clarke (2006)
 <doi:10.2337/dc06-1085>.  Jean-Pierre Le Floch, Philippe Escuyer, Eric
 Baudin, Dominique Baudon, and Leon Perlemuter (1990)
 <doi:10.2337/diacare.13.2.172>.  C.M. McDonnell, S.M. Donath, S.I. Vidmar,
 G.A. Werther, and F.J. Cameron (2005) <doi:10.1089/dia.2005.7.253>.
 Everitt, Brian (1998) <doi:10.1111/j.1751-5823.2011.00149_2.x>.  Becker, R.
 A., Chambers, J. M. and Wilks, A. R. (1988) <doi:10.2307/2234167>.
 Dougherty, R. L., Edelman, A. and Hyman, J. M. (1989)
 <doi:10.1090/S0025-5718-1989-0962209-1>.  Tukey, J. W. (1977)
 <doi:10.1016/0377-2217(86)90209-2>.  F. John Service (2013)
 <doi:10.2337/db12-1396>.  Edmond A. Ryan, Tami Shandro, Kristy Green, Breay
 W. Paty, Peter A. Senior, David Bigam, A.M. James Shapiro, and
 Marie-Christine Vantyghem (2004) <doi:10.2337/diabetes.53.4.955>.  F. John
 Service, George D. Molnar, John W. Rosevear, Eugene Ackerman, Leal C.
 Gatewood, William F. Taylor (1970) <doi:10.2337/diab.19.9.644>.  Sarah E.
 Siegelaar, Frits Holleman, Joost B. L. Hoekstra, and J. Hans DeVries (2010)
 <doi:10.1210/er.2009-0021>.  Gabor Marics, Zsofia Lendvai, Csaba Lodi,
 Levente Koncz, David Zakarias, Gyorgy Schuster, Borbala Mikos, Csaba
 Hermann, Attila J. Szabo, and Peter Toth-Heyn (2015)
 <doi:10.1186/s12938-015-0035-3>.  Thomas Danne, Revital Nimri, Tadej
 Battelino, Richard M. Bergenstal, Kelly L. Close, J. Hans DeVries,
 SatishGarg, Lutz Heinemann, Irl Hirsch, Stephanie A. Amiel, Roy Beck,
 Emanuele Bosi, Bruce Buckingham, ClaudioCobelli, Eyal Dassau, Francis J.
 Doyle, Simon Heller, Roman Hovorka, Weiping Jia, Tim Jones, Olga
 Kordonouri,Boris Kovatchev, Aaron Kowalski, Lori Laffel, David Maahs, Helen
 R. Murphy, Kirsten Nørgaard, Christopher G.Parkin, Eric Renard, Banshi
 Saboo, Mauro Scharf, William V. Tamborlane, Stuart A. Weinzimer, and Moshe
 Phillip.International consensus on use of continuous glucose
 monitoring.Diabetes Care, 2017 <doi:10.2337/dc17-1600>.

Package: r-cran-glvmfit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-glvmfit_0.1.0-1.ca2004.1_all.deb
Size: 127428
MD5sum: 5d89f3b7acdf4f16ad85ba820a403101
SHA1: 31a4b0db70760fa1773c536ea06929ca893a51ad
SHA256: c4233a7dbb1349f98975b9ceebe37a285b13d60255bf5ac9141e708f61e3eb10
SHA512: 4bf5316a8805e3c9f19dbb0517186aa0d66aada4cf47f261b15bc18e4f7b6c2e7dea088186bd70d73afdc1c7036c6d5a1294e3463a7ad036e8fd0242b4f850ec
Homepage: https://cran.r-project.org/package=glvmfit
Description: CRAN Package 'glvmfit' (Methods to Assess Generalized Latent Variable Model Fit)
 Provides residual global fit indices for generalized latent variable models.

Package: r-cran-glycanr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 863
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-coin
Suggests: r-cran-knitr, r-cran-markdown, r-bioc-preprocesscore, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-glycanr_0.4.0-1.ca2004.1_all.deb
Size: 727552
MD5sum: c4fc88f45231d582d9106107195bef51
SHA1: c298b16ebb6f52f040541536c2d8d5a69a77a8ca
SHA256: fa2249aa28a1c0dfe1d01a216f441c9470264e57d41fb6b07a0d157201050db3
SHA512: 9d82f5474b1df052c5bac118958d4943949d99c91f7875d65df18ecd39b410ca8b5890fc42e8ccd034b931a39ee8c25912a8f10b7b751757e19e4d6b54104125
Homepage: https://cran.r-project.org/package=glycanr
Description: CRAN Package 'glycanr' (Tools for Analysing N-Glycan Data)
 Useful utilities in N-glycan data analysis. This package tries to fill the
 gap in N-glycan data analysis by providing easy to use functions for basic
 operations on data (see <https://en.wikipedia.org/wiki/Glycomics> for more
 details on Glycomics). At the moment 'glycanr' is mostly oriented to data
 obtained by UPLC (Ultra Performance Liquid Chromatography) and LCMS (Liquid
 chromatography–mass spectrometry) analysis of Plasma and IgG glycome.

Package: r-cran-gm
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3946
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-erify, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-gm_2.0.0-1.ca2004.1_all.deb
Size: 2827708
MD5sum: 89f1bb6f331b90e3076f2fc9d3133452
SHA1: cc3165e686b7281ab0ad1f758aacffed887bfb5d
SHA256: 83b4eb5300cba2777b90662471f83204fc759b3dae0bfb14b2be601d18e25cef
SHA512: d3977bfe2b805a4b7ce89f766789c6eba87ac2b65cedb439550e55846ffa90e1e635f6383ebc1d383cc79049927462fe1e441539df4db1b339752aeeb718bbf7
Homepage: https://cran.r-project.org/package=gm
Description: CRAN Package 'gm' (Create Music with Ease)
 Provides a simple and intuitive high-level language for music
 representation. Generates and embeds music scores and audio files in
 'RStudio', 'R Markdown' documents, and R 'Jupyter Notebooks'.  Internally,
 uses 'MusicXML' <https://github.com/w3c/musicxml> to represent music, and
 'MuseScore' <https://musescore.org/> to convert 'MusicXML'.

Package: r-cran-gma
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-car
Filename: pool/dists/focal/main/r-cran-gma_1.0-1.ca2004.1_all.deb
Size: 281508
MD5sum: f50292d231a7d2a12ee83de6c4a6aacb
SHA1: a9b4c49909d16d1ee38f2e27c781e3b29ed7b081
SHA256: 229223f61258e05519258f51c98fbf9f3ad3613d680cb4adc5286570fde67b1f
SHA512: d243b7ee82e94da2898707676c35ecdfae1e86e84514771a9ff3009bbb601037e07299eac3968daeb3b0df1c31a2122d99bb668bbb94b9a2a08c02180bed8f00
Homepage: https://cran.r-project.org/package=gma
Description: CRAN Package 'gma' (Granger Mediation Analysis)
 Performs Granger mediation analysis (GMA) for time series. This package
 includes a single level GMA model and a two-level GMA model, for time series
 with hierarchically nested structure. The single level GMA model for the
 time series of a single participant performs the causal mediation analysis
 which integrates the structural equation modeling and the Granger causality
 frameworks. A vector autoregressive model of order p is employed to account
 for the spatiotemporal dependencies in the data. Meanwhile, the model
 introduces the unmeasured confounding effect through a nonzero correlation
 parameter. Under the two-level model, by leveraging the variabilities across
 participants, the parameters are identifiable and consistently estimated
 based on a full conditional likelihood or a two-stage method. See Zhao, Y.,
 & Luo, X. (2017), Granger Mediation Analysis of Multiple Time Series with an
 Application to fMRI, <arXiv:1709.05328> for details.

Package: r-cran-gmac
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 328
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gmac_3.1-1.ca2004.1_all.deb
Size: 300540
MD5sum: 91aa13d109504708a6dbaac35c7bc0c9
SHA1: ea2731d3cce4464b76170b8ee428c086ef95f6a2
SHA256: a49acbd163b7ab614b3e7af532c9a2191dda36676f6407992be658140e160bc2
SHA512: 9fd3412d23e303925f7af5cf005529ca45cd0543ff01e24c181fee6d343778769a3dfef656cf778db3a28881590b7ab28bcb027f1f618822cf65b3ea01724394
Homepage: https://cran.r-project.org/package=GMAC
Description: CRAN Package 'GMAC' (Genomic Mediation Analysis with Adaptive Confounding Adjustment)
 Performs genomic mediation analysis with adaptive confounding adjustment
 (GMAC) proposed by Yang et al. (2017) <doi:10.1101/078683>. It implements
 large scale mediation analysis and adaptively selects potential confounding
 variables to adjust for each mediation test from a pool of candidate
 confounders. The package is tailored for but not limited to genomic
 mediation analysis (e.g., cis-gene mediating trans-gene regulation pattern
 where an eQTL, its cis-linking gene transcript, and its trans-gene
 transcript play the roles as treatment, mediator and the outcome,
 respectively), restricting to scenarios with the presence of cis-association
 (i.e., treatment-mediator association) and random eQTL (i.e., treatment).

Package: r-cran-gmailr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-base64enc, r-cran-cli, r-cran-crayon, r-cran-gargle, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-mime, r-cran-rappdirs, r-cran-rematch2, r-cran-rlang
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gmailr_2.0.0-1.ca2004.1_all.deb
Size: 310308
MD5sum: b8b2940739f2d0200a981dec3086c7bd
SHA1: 2f738ec55a2f691c3108420210751284deea0c71
SHA256: 83be1010c2d29db4dee240792a7d88318f6ab978616da5aa692ed0db6e992b73
SHA512: 99bc423032206d5b7fe520727eddc37b7ac66bc3c91b4865a99c336007c22c0101f37e3e6c23f72f13112c1f205d8115e7e3bf4c649f546d149cb07154f6de4b
Homepage: https://cran.r-project.org/package=gmailr
Description: CRAN Package 'gmailr' (Access the 'Gmail' 'RESTful' API)
 An interface to the 'Gmail' 'RESTful' API.  Allows access to your 'Gmail'
 messages, threads, drafts and labels.

Package: r-cran-gmamisc
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-catools, r-cran-classint, r-cran-cluster, r-cran-coin, r-cran-corrplot, r-cran-desctools, r-cran-dismo, r-cran-ggplot2, r-cran-ggrepel, r-cran-hmisc, r-cran-inposition, r-cran-kimisc, r-cran-lsr, r-cran-plyr, r-cran-raster, r-cran-rcmdrmisc, r-cran-rgeos, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat.core, r-cran-spatstat.random
Suggests: r-cran-archdata, r-cran-gdistance, r-cran-resample
Filename: pool/dists/focal/main/r-cran-gmamisc_1.2.1-1.ca2004.1_all.deb
Size: 1151972
MD5sum: 27e37574704e1c7d657372b2e052d3dc
SHA1: 84dbc871761e991237763ecada5aa87ef67a7f39
SHA256: 777e677de13d6c6213f57c4af3368e0f5ba70010c073a10903212b9c16d56d84
SHA512: b0c8d0abc89281ed9f525090c6d40aeda958f17273ef435f70a9711d5ed08fd391cb8679dae99294a827f403dcf12ff05319489858c23bcbc24437d176481308
Homepage: https://cran.r-project.org/package=GmAMisc
Description: CRAN Package 'GmAMisc' ('Gianmarco Alberti' Miscellaneous)
 Contains many functions useful for univariate outlier detection,
 permutation-based t-test, permutation-based chi-square test, visualization
 of residuals, and bootstrap 'Cramer V', plotting of the results of the
 'Mann-Whitney' and 'Kruskal-Wallis' test, calculation of 'Brainerd-Robinson'
 similarity coefficient and subsequent clustering, validation of logistic
 regression models, optimism-corrected AUC, robust 'Bland-Altman' plot,
 calculation of posterior probability for different chronological
 relationships between two Bayesian radiocarbon phases, point pattern
 analysis, clustering of spatial features.

Package: r-cran-gmapsdistance
Architecture: all
Version: 4.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-xml
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-vctrs, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmapsdistance_4.0.5-1.ca2004.1_all.deb
Size: 38164
MD5sum: 4f4304aaebd6f0622038f34f65614ece
SHA1: 35759bf209fbf8578a65625254256dd7fb76ce71
SHA256: ca1381cede625995a28322c3f88424a7eacda685ebb01fb61bd7cfa7be7227a8
SHA512: 94104e55b86503a53292937ccc732d0b3d2c6bd502ee37dbb6d28d5330e10a748b1e5278d1430dcca362458f795427f265bbf0c4e30c49217f4299df6e35a09b
Homepage: https://cran.r-project.org/package=gmapsdistance
Description: CRAN Package 'gmapsdistance' (Distance and Travel Time Between Two Points from Google Maps)
 Get distance and travel time between two points from Google Maps.  Four
 possible modes of transportation (bicycling, walking, driving and public
 transportation).

Package: r-cran-gmdatabase
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-rmysql, r-cran-foreach, r-cran-digest, r-cran-shiny
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-gmdatabase_0.5.1-1.ca2004.1_all.deb
Size: 296840
MD5sum: a795668f08776a95f465a76fad17ef30
SHA1: c0f844cf5c64652f4835854bae959b378919db8d
SHA256: 3f3c1f5ba51a0ca6d569ef8ddb1939959b902e0a739a5ca599e2657cc67b562c
SHA512: dc0e45b9994004df59bec3b7d44a087733f79ce729565d2b6b1451b175086341a7dea201d31ec1cf3997efc5ee5022f50573bfdf38c87244262b570448cc1044
Homepage: https://cran.r-project.org/package=gmDatabase
Description: CRAN Package 'gmDatabase' (Accessing a Geometallurgical Database with R)
 A template for a geometallurgical database and a fast and easy interface for
 accessing it.

Package: r-cran-gmdh2
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-e1071, r-cran-randomforest, r-cran-glmnet, r-cran-nnet, r-cran-mass, r-cran-plotly, r-cran-magrittr, r-cran-xtable
Suggests: r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-gmdh2_1.8-1.ca2004.1_all.deb
Size: 107996
MD5sum: 974382bc17904a5b6cc6afb11ffa11b2
SHA1: db6c2743a5faedf76fc944088b76874bc395c5f8
SHA256: 3596c4b34b53f85fb315464942c137a9d3c8a91983f514f104452fbb764925d6
SHA512: b2b3b71d19c2d773d9038b20b4c2a8d368d0d4dcfa59165f5069bec6c89dd0c38b00676931753f577c5148e4464875c49228fdaf2d58e6f4857e15cdf8058197
Homepage: https://cran.r-project.org/package=GMDH2
Description: CRAN Package 'GMDH2' (Binary Classification via GMDH-Type Neural Network Algorithms)
 Performs binary classification via Group Method of Data Handling (GMDH) -
 type neural network algorithms. There exist two main algorithms available in
 GMDH() and dceGMDH() functions. GMDH() performs classification via GMDH
 algorithm for a binary response and returns important variables. dceGMDH()
 performs classification via diverse classifiers ensemble based on GMDH
 (dce-GMDH) algorithm. Also, the package produces a well-formatted table of
 descriptives for a binary response. Moreover, it produces confusion matrix,
 its related statistics and scatter plot (2D and 3D) with classification
 labels of binary classes to assess the prediction performance. All 'GMDH2'
 functions are designed for a binary response (Dag et al., 2019,
 <https://download.atlantis-press.com/article/125911202.pdf>).

Package: r-cran-gmdh
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gmdh_1.6-1.ca2004.1_all.deb
Size: 35732
MD5sum: 254e26919f89fb517768fe4f23dd7539
SHA1: 44cecb26e27eb3b54fea29bd80b6635469be3463
SHA256: 7a37943b0b707b5fa3ac4cccdc64b45a04642740d88dfd76702550a30d65073f
SHA512: cd337439279ec5571c91fcf80d79a9b143e9b4e41cc529fbcbf8b2c2381df1fe69900f148f89401453af911e03cd61a003c0df05266eb578196b218f443214d8
Homepage: https://cran.r-project.org/package=GMDH
Description: CRAN Package 'GMDH' (Short Term Forecasting via GMDH-Type Neural Network Algorithms)
 Group method of data handling (GMDH) - type neural network algorithm is the
 heuristic self-organization method for modelling the complex systems. In
 this package, GMDH-type neural network algorithms are applied to make short
 term forecasting for a univariate time series.

Package: r-cran-gmdhreg
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmdhreg_0.2.3-1.ca2004.1_all.deb
Size: 132992
MD5sum: 87fe96423f5c9efffef877c740b03af3
SHA1: 2efc8827e9c6048236d3c2bd11e4d5ac53c010b4
SHA256: 6146bbf8fa54dc0c4cbfe5525ce1621a89dce2c911aa245f300f9e7c0382f9ec
SHA512: c4afc0910b179ad495d1430c334bfcc183935b3096b9f279ae2f7469432341a87fcd839c0a1a32931aa01285c0d8d54c6198ee41b8be63eb2d094d81d6504a1e
Homepage: https://cran.r-project.org/package=GMDHreg
Description: CRAN Package 'GMDHreg' (Regression using GMDH Algorithms)
 Regression using GMDH algorithms from Prof. Alexey G. Ivakhnenko.  Group
 Method of Data Handling (GMDH), or polynomial neural networks, is a family
 of inductive algorithms that performs gradually complicated polynomial
 models and selecting the best solution by an external criterion.  In other
 words, inductive GMDH algorithms give possibility finding automatically
 interrelations in data, and selecting an optimal structure of model or
 network.  The package includes GMDH Combinatorial, GMDH MIA (Multilayered
 Iterative Algorithm), GMDH GIA (Generalized Iterative Algorithm) and GMDH
 Combinatorial with Active Neurons.

Package: r-cran-gmfamm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bamlss, r-cran-mgcv, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat, r-cran-tidyverse, r-cran-jmbayes2, r-cran-registr, r-cran-fundata, r-cran-mfpca, r-cran-mjmbamlss, r-cran-refund
Filename: pool/dists/focal/main/r-cran-gmfamm_0.1.0-1.ca2004.1_all.deb
Size: 167288
MD5sum: 1a98f5cda678850b19d8b6420e4a4cbf
SHA1: f541f3f8e47646f297a86f075f3b6489e83bd4dc
SHA256: ef264efeced27c9b94a6909ba10d291880593ff156c2f3c81a35dc30eb629c72
SHA512: 482fc900437ffb9a5c0504f19a38ad1d80ed959bce82a56175dfd2543fed09adedf20560952667d2a756c963d6e7cfe076e680a2d3af467d8466a2f9097dae9c
Homepage: https://cran.r-project.org/package=gmfamm
Description: CRAN Package 'gmfamm' (Generalized Multivariate Functional Additive Models)
 Supply implementation to model generalized multivariate functional data
 using Bayesian additive mixed models of R package 'bamlss' via a latent
 Gaussian process (see Umlauf, Klein, Zeileis (2018)
 <doi:10.1080/10618600.2017.1407325>).

Package: r-cran-gmfd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gmfd_1.0.1-1.ca2004.1_all.deb
Size: 68496
MD5sum: a7e9b781dc34b86bcead187220a1e44d
SHA1: c61f942c24028fdd739455daa2e98e5b167cf0e6
SHA256: 59069729051eb9ffaa00583343f820000d81bf142314d2d374b420b1921d82e6
SHA512: 791ddfa589f452afb9bdce466f995aa7673565557a03861e2ef57d610b590a2ad5fe50c06be2494b6a4b2accc2a67134a579af6ee44357f3149eae5140c5221b
Homepage: https://cran.r-project.org/package=gmfd
Description: CRAN Package 'gmfd' (Inference and Clustering of Functional Data)
 Some methods for the inference and clustering of univariate and multivariate
 functional data, using a generalization of Mahalanobis distance, along with
 some functions useful for the analysis of functional data.  For further
 details, see Martino A., Ghiglietti, A., Ieva, F. and Paganoni A. M. (2017)
 <arXiv:1708.00386>.

Package: r-cran-gmgm
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 794
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-visnetwork
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmgm_1.1.2-1.ca2004.1_all.deb
Size: 724764
MD5sum: 1dcc147a4de3a6d5b16333eaa0648de0
SHA1: 08f693f64469be6ad0483d1c3294409b510e47ce
SHA256: 77c24c51e581086d1168c94e5e8b1a2d7a3114ae39cf54d8d080e62fe7baa98c
SHA512: 48c64ca002e236543a250abfbdfd2d8099fafc1ee3a418a343e9b763cd6da9dcb00b840a890d41a74b357fe2214c360427934bd83c3d99fe1f0fa983d56551af
Homepage: https://cran.r-project.org/package=gmgm
Description: CRAN Package 'gmgm' (Gaussian Mixture Graphical Model Learning and Inference)
 Gaussian mixture graphical models include Bayesian networks and dynamic
 Bayesian networks (their temporal extension) whose local probability
 distributions are described by Gaussian mixture models. They are powerful
 tools for graphically and quantitatively representing nonlinear dependencies
 between continuous variables. This package provides a complete framework to
 create, manipulate, learn the structure and the parameters, and perform
 inference in these models. Most of the algorithms are described in the PhD
 thesis of Roos (2018) <https://tel.archives-ouvertes.fr/tel-01943718>.

Package: r-cran-gmmboost
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-minqa, r-cran-magic
Filename: pool/dists/focal/main/r-cran-gmmboost_1.1.5-1.ca2004.1_all.deb
Size: 309656
MD5sum: 55477fd89e23da353b8becdbc55499f5
SHA1: 30635122e68acdc614aaeed020a60aa9067714e6
SHA256: e29a8152ae128c4848f7737b6e4ae508fe0161eacfcb99befbce1d9b519f74b7
SHA512: c1fe7a0c3b974cc85760aef65d4e91e72b60a3feb6f46504be3d96b38083103ff3ab781f0cd1af48643a7c4fb42677eab9e8abb1fa15e2ed0787246fe232bcc0
Homepage: https://cran.r-project.org/package=GMMBoost
Description: CRAN Package 'GMMBoost' (Likelihood-Based Boosting for Generalized Mixed Models)
 Likelihood-based boosting approaches for generalized mixed models are
 provided.

Package: r-cran-gmmsslm
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-gmmsslm_1.1.6-1.ca2004.1_all.deb
Size: 122380
MD5sum: 143a90bf94933700b785acf0c7e5d43e
SHA1: f06fdb9d7b723f68a7fc0f43eaf5928161b5fc21
SHA256: 0d24d7c7fa77f477ec26c11e010763ed2569bab7932e3da1581547513ab58153
SHA512: 609405d2ca46d87233c28e6e12cfa655c6b844e1d3bbc1cf35d6ae4461cc830b58d64a6a4b642f5556409967a638dc1e1b3e14d4d21e79cb06b3ef4b8057f6ee
Homepage: https://cran.r-project.org/package=gmmsslm
Description: CRAN Package 'gmmsslm' (Semi-Supervised Gaussian Mixture Model with a Missing-DataMechanism)
 The algorithm of semi-supervised learning is based on finite Gaussian
 mixture models and includes a mechanism for handling missing data. It aims
 to fit a g-class Gaussian mixture model using maximum likelihood. The
 algorithm treats the labels of unclassified features as missing data,
 building on the framework introduced by Rubin (1976) <doi:10.2307/2335739>
 for missing data analysis. By taking into account the dependencies in the
 missing pattern, the algorithm provides more information for determining the
 optimal classifier, as specified by Bayes' rule.

Package: r-cran-gmnl
Architecture: all
Version: 1.1-3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-formula, r-cran-plotrix, r-cran-msm, r-cran-mlogit, r-cran-truncnorm
Suggests: r-cran-aer, r-cran-lmtest, r-cran-car, r-cran-memisc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmnl_1.1-3.2-1.ca2004.1_all.deb
Size: 199184
MD5sum: 0282636417817cd9a32aeec8d9751a41
SHA1: 8c7f9d0cfee0b5b5e9683d068b544f36c26efe45
SHA256: 93e2d3ce14b6efca49ed4210afa65663aeea72474125f813809a6c5144324fe4
SHA512: 82289b06d3a9630abf767ee5ddf74d3c91adf561ea7314c68687ab03a2ecdc196ffbe878172b4d8266953b108d56eea8bf075d11f0db139ac06f634a7c864518
Homepage: https://cran.r-project.org/package=gmnl
Description: CRAN Package 'gmnl' (Multinomial Logit Models with Random Parameters)
 An implementation of maximum simulated likelihood method for the estimation
 of multinomial logit models with random coefficients as presented by Sarrias
 and Daziano (2017) <doi:10.18637/jss.v079.i02>.  Specifically, it allows
 estimating models with continuous heterogeneity such as the mixed
 multinomial logit and the generalized multinomial logit.  It also allows
 estimating models with discrete heterogeneity such as the latent class and
 the mixed-mixed multinomial logit model.

Package: r-cran-gmodels
Architecture: all
Version: 2.19.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-gdata
Suggests: r-cran-gplots, r-cran-gtools, r-cran-matrix, r-cran-nlme, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-gmodels_2.19.1-1.ca2004.1_all.deb
Size: 116132
MD5sum: 04c4764cf403dfc3f728854d28c94549
SHA1: 259150321c21cfad85db8dc9bfa3bba5bd0c34a8
SHA256: a0abcd38d78612eddc636244e3536391b793bdc76893de1658e682a9a70f3ceb
SHA512: 1e7e42d1a275c78060cf92de4a32283b548ea82476852dd11df0e65e4e3c32aae6a407051aa29531c9ac621599c53ba367c6fcb2c926bc9ae987b386ed303ca1
Homepage: https://cran.r-project.org/package=gmodels
Description: CRAN Package 'gmodels' (Various R Programming Tools for Model Fitting)
 Various R programming tools for model fitting.

Package: r-cran-gmoip
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6360
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggrepel, r-cran-geometry, r-cran-ggplot2, r-cran-rgl, r-cran-mass, r-cran-matrix, r-cran-rfast, r-cran-plyr, r-cran-tidyselect, r-cran-tidyr, r-cran-tibble, r-cran-purrr, r-cran-dplyr, r-cran-rlang, r-cran-png, r-cran-sp, r-cran-moocore
Suggests: r-cran-tikzdevice, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-ggsci, r-cran-magrittr, r-cran-scales, r-cran-pdftools, r-cran-testthat, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-gmoip_1.5.5-1.ca2004.1_all.deb
Size: 2254076
MD5sum: 98c5d401936fc17f50985849560dcb82
SHA1: 1167d1ee5fa108ba1be28dd1f45cd3a38e2a30d1
SHA256: 89d8c24b2d96bb7ff96fc496a0d7ab1ca7e58b3d8eac16bd26d24609eabb0520
SHA512: d8d830e23cab8b1905b26088a33f46129f7f1e7cd174acb6124d315bd6f4705603e40edc7c78e00158799bbacb275778b53f3ea59bc097a09bd69b7ee2a2554f
Homepage: https://cran.r-project.org/package=gMOIP
Description: CRAN Package 'gMOIP' (Tools for 2D and 3D Plots of Single and Multi-ObjectiveLinear/Integer Programming Models)
 Make 2D and 3D plots of linear programming (LP), integer linear programming
 (ILP), or mixed integer linear programming (MILP) models with up to three
 objectives. Plots of both the solution and criterion space are possible.
 For instance the non-dominated (Pareto) set for bi-objective LP/ILP/MILP
 programming models (see vignettes for an overview). The package also
 contains an function for checking if a point is inside the convex hull.

Package: r-cran-gmoog
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4562
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-gmoog_0.7-1.ca2004.1_all.deb
Size: 4324144
MD5sum: 383b8cbcb5a2aa5487a428088df84a56
SHA1: e2aaf5aebc8fb0d07ba1ff03c0a3710b76298b21
SHA256: 9b3c81e57c7086b51e1b77df0bf9ab76c79bb62375d9ea42665803b79a83812d
SHA512: 6c5aaed19914827f85abfd9b7cb52b9da2c5290767ab755f8ab0fc51292525da69f1cee70f00565f465046db2314467de67bd0001c09973f3d59d9472b84c7d5
Homepage: https://cran.r-project.org/package=GmooG
Description: CRAN Package 'GmooG' (Datasets for the Book 'Getting (more out of) Graphics')
 Datasets analysed in the book Antony Unwin (2024, ISBN:978-0367674007)
 "Getting (more out of) Graphics".

Package: r-cran-gmotree
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-knitr, r-cran-openxlsx, r-cran-pander, r-cran-plyr, r-cran-rlang, r-cran-rlist, r-cran-rmarkdown, r-cran-stringr, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gmotree_1.4.1-1.ca2004.1_all.deb
Size: 1126728
MD5sum: 830e3dbbeacdaa8e87b31f3ceb7b2c08
SHA1: e0d65f719e20775b025704e08a409591b1491396
SHA256: 03ce40e420879c9332c5e6a2eeaeb3d6be8954bc41cc00fd826b76bb47445415
SHA512: 45b4d05041638a98b01b533031f1bed73ffe399a94c94a5f76ced3e8b6b46db4cc889f938acfb3e627740364a47c7d7eb2f2084636d6ee5a140fd014592dd4f1
Homepage: https://cran.r-project.org/package=gmoTree
Description: CRAN Package 'gmoTree' (Get and Modify 'oTree' Data)
 Efficiently manage and process data from 'oTree' experiments.  Import
 'oTree' data and clean them by using functions that handle messy data,
 dropouts, and other problematic cases.  Create IDs, calculate the time,
 transfer variables between app data frames, and delete sensitive
 information.  Review your experimental data prior to running the experiment
 and automatically generate a detailed summary of the variables used in your
 'oTree' code.  Information on 'oTree' is found in Chen, D. L., Schonger, M.,
 & Wickens, C. (2016) <doi:10.1016/j.jbef.2015.12.001>.

Package: r-cran-gmpoly
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gmp, r-cran-purrr, r-cran-mvp, r-cran-english
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmpoly_1.1.0-1.ca2004.1_all.deb
Size: 42360
MD5sum: 0595509adfc6d779b655fd86618d3316
SHA1: 377633028864cdbfaceba1f721cf90a68cf09d19
SHA256: 9818a58530d1305b164a33808a4b1b824769c9c6cf15592e511e05f48f91719a
SHA512: 302d63f983340bb31a8bfebf6540ff53fe6d42d1d939f7b6e47886634aedb8171307f1769e60085f8b87c0ca83b4ba8f7ba5fb98f804f12363b38152073ffaf5
Homepage: https://cran.r-project.org/package=gmpoly
Description: CRAN Package 'gmpoly' (Multivariate Polynomials with Rational Coefficients)
 Symbolic calculation (addition or multiplication) and evaluation of
 multivariate polynomials with rational coefficients.

Package: r-cran-gmpro
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-transport, r-cran-igraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gmpro_0.1.0-1.ca2004.1_all.deb
Size: 62684
MD5sum: 6d8ade387096e930e96a770996e5ab82
SHA1: f620ab0235bfc08e886d1a66cf3a51fe33be8796
SHA256: df3335172e0dda4aafd9c913a643f0f60f3bd891e36b738b093b72442f5084e3
SHA512: fcced0aeb582275b45dc270d7ad6694983664a52b148a37891cde62d91b3f0646ecb3168e6d7861b5171bd50c5b25d049afd62b3cfd53ff28ee808aad17010e9
Homepage: https://cran.r-project.org/package=GMPro
Description: CRAN Package 'GMPro' (Graph Matching with Degree Profiles)
 Functions for graph matching via nodes' degree profiles are provided in this
 package. The models we can handle include Erdos-Renyi random graphs and
 stochastic block models(SBM). More details are in the reference paper:
 Yaofang Hu, Wanjie Wang and Yi Yu (2020) <arXiv:2006.03284>.

Package: r-cran-gmptzcurve
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gmptzcurve_0.1.0-1.ca2004.1_all.deb
Size: 10868
MD5sum: 5a696e814a79966180247e778314c064
SHA1: 6cf95c617708fabf13618b80c07ea04a983ffbc6
SHA256: f607b76ce7895775daf20159b2755bbb6e098b77d256f164fe3a22ade37c221f
SHA512: 397c167d180372de417317ec27271084726206d841f196454d06539b80338225b77e3099a441fcbba0fa2804c186280c75dfa5c46c3de100573904852aaaaf4b
Homepage: https://cran.r-project.org/package=GmptzCurve
Description: CRAN Package 'GmptzCurve' (Gompertz Curve Fitting)
 A system for fitting Gompertz Curve in a Time Series Data.

Package: r-cran-gmresls
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-gmresls_0.2.3-1.ca2004.1_all.deb
Size: 15272
MD5sum: e51322178ae0caa40428a5796f9ce905
SHA1: 7530ee1ab018d88b9771deec4ff38a8a8e310073
SHA256: 7ac0b17122447add3e90620b7f6dd1fae2c4a83e6731812f5bdae782223aaaf7
SHA512: 3c5fd3ce9dc7c98c958452dbc260d1a30ff1c97379df43963b3779c476d6aac659594ca34c9ea11bbf56db91cf0b8ca6ba62cd89652e23e92421da7a7cdb4553
Homepage: https://cran.r-project.org/package=gmresls
Description: CRAN Package 'gmresls' (Solve Least Squares with GMRES(k))
 Solves a least squares system Ax~=b (dim(A)=(m,n) with m >= n) with a
 precondition matrix B: BAx=Bb (dim(B)=(n,m)). Implemented method is based on
 GMRES (Saad, Youcef; Schultz, Martin H. (1986). "GMRES: A Generalized
 Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems"
 <doi:10.1137/0907058>) with callback functions, i.e. no explicit A, B or b
 are required.

Package: r-cran-gms
Architecture: all
Version: 0.31.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-withr, r-cran-yaml, r-cran-filelock
Suggests: r-cran-covr, r-cran-curl, r-cran-magclass, r-cran-qgraph, r-cran-testthat, r-cran-callr
Filename: pool/dists/focal/main/r-cran-gms_0.31.2-1.ca2004.1_all.deb
Size: 277964
MD5sum: d37e48cd7e56a41dec79bcb844aeee30
SHA1: 3220a79f2b45c86b3a5fe371817bf4a3c1918901
SHA256: 4451e94f747d63709f0c20bc4b4dec163e8e67e0001329679e8f4830af9372c0
SHA512: da78af07a334165ee57dc4d57c3f421807eee2d37b00e1e29e0a9991a63765ad514b6d1092f9c83072a5f54b2f4f64ba033d68a004b10125599386bdbbd045d6
Homepage: https://cran.r-project.org/package=gms
Description: CRAN Package 'gms' ('GAMS' Modularization Support Package)
 A collection of tools to create, use and maintain modularized model code
 written in the modeling language 'GAMS' (<https://www.gams.com/>).
 Out-of-the-box 'GAMS' does not come with support for modularized model code.
 This package provides the tools necessary to convert a standard 'GAMS' model
 to a modularized one by introducing a modularized code structure together
 with a naming convention which emulates local environments. In addition,
 this package provides tools to monitor the compliance of the model code with
 modular coding guidelines.

Package: r-cran-gmsimpute
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-gmsimpute_0.0.1.0-1.ca2004.1_all.deb
Size: 69048
MD5sum: bdb4c115539b7805f664d8bfa8fa8d5a
SHA1: c53d49175a4f23bb9e53d92419e1c0fe20936d7c
SHA256: 3b8bb0f1be1878da1fb9ff1e61ceaf82c69f2533d4d51a94bd528a6d141bece6
SHA512: 1455de171a8b5d51aa03aa8f36cb55a87f1305c594ea09847ecd57993fdbf84677d8d25c6164b400c6699c2031ff40daf648c41fd4a09c14bf1ad0ac8471cfd8
Homepage: https://cran.r-project.org/package=GMSimpute
Description: CRAN Package 'GMSimpute' (Generalized Mass Spectrum Missing Peaks Abundance Imputation)
 Two-Step Lasso (TS-Lasso) and compound minimum methods to recover the
 abundance of missing peaks in mass spectrum analysis. TS-Lasso is an
 imputation method that handles various types of missing peaks
 simultaneously. This package provides the procedure to generate missing
 peaks (or data) for simulation study, as well as a tool to estimate and
 visualize the proportion of missing at random.

Package: r-cran-gmt
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gmt_2.0.3-1.ca2004.1_all.deb
Size: 64452
MD5sum: 33acb2a7bfad3994cf130f3c26aced90
SHA1: 95b91d67d3e6c2cb3cafbb2579e57b00be04497e
SHA256: 6142db7efa5cbf784512b50fcf5f205ef59f34e96f5913e6288e2d0f4b3aa7e4
SHA512: b343615e5f46476f94943a2d34693aec5839b5ec86727c9e4ac1c683b8022192dff187184ac478578300f3a1efb68dd6eb4cc83a469adde926b6df6f37008308
Homepage: https://cran.r-project.org/package=gmt
Description: CRAN Package 'gmt' (Interface Between GMT Map-Making Software and R)
 Interface between the GMT map-making software and R, enabling the user to
 manipulate geographic data within R and call GMT commands to draw and
 annotate maps in postscript format. The gmt package is about interactive
 data analysis, rapidly visualizing subsets and summaries of geographic data,
 while performing statistical analysis in the R console.

Package: r-cran-gmvarkit
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1896
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-brobdingnag, r-cran-mvnfast, r-cran-pbapply, r-cran-gsl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gmvarkit_2.2.0-1.ca2004.1_all.deb
Size: 1708856
MD5sum: 7aaac3f3a120e6e9839ede28fa3c2211
SHA1: 65ce094c99fb168896c0db20368c8c1978168fa0
SHA256: e148b4f3592e6ffe218eb28bcca423a82c13eff73275825e504ae0ded0c7fe9f
SHA512: 38271c618a2b07e46906a6b7d1f6a76970a850b91ff6a259fa7e4a12c3b956654a47b82c0f6b2d6eb0c0c2fe1580babb00276d79b540eda9ba8e7fdd9d7826e8
Homepage: https://cran.r-project.org/package=gmvarkit
Description: CRAN Package 'gmvarkit' (Estimate Gaussian and Student's t Mixture Vector AutoregressiveModels)
 Unconstrained and constrained maximum likelihood estimation of structural
 and reduced form Gaussian mixture vector autoregressive, Student's t mixture
 vector autoregressive, and Gaussian and Student's t mixture vector
 autoregressive models, quantile residual tests, graphical diagnostics,
 simulations, forecasting, and estimation of generalized impulse response
 function and generalized forecast error variance decomposition.  Leena
 Kalliovirta, Mika Meitz, Pentti Saikkonen (2016)
 <doi:10.1016/j.jeconom.2016.02.012>, Savi Virolainen (2025)
 <doi:10.1080/07350015.2024.2322090>, Savi Virolainen (2022)
 <doi:10.48550/arXiv.2109.13648>.

Package: r-cran-gmztests
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dcca, r-cran-performanceanalytics, r-cran-nonlineartseries, r-cran-fitdistrplus, r-cran-fgpt, r-cran-tseries
Suggests: r-cran-xts, r-cran-zoo, r-cran-quantmod, r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-gmztests_0.1.4-1.ca2004.1_all.deb
Size: 54072
MD5sum: 964d012d30f6e49535a5e47eb675d097
SHA1: 2610fbdae87c0c63179b428870a3efd01667c118
SHA256: ea885db747c6c8addef81cc60511369320ea393d18f0be9564b7e4cc3e7d2db9
SHA512: 1f498cc370f905dd8049e7efb48a66ae256f7f69ae42ece44c4891ba2a88371aac52003ecd480bb6c00c740be2bca4635dfb9dc1206c4e4366c54e1aafc2b702
Homepage: https://cran.r-project.org/package=GMZTests
Description: CRAN Package 'GMZTests' (Statistical Tests)
 A collection of functions to perform statistical tests of the following
 methods: Detrended Fluctuation Analysis, RHODCCA
 coefficient,<doi:10.1103/PhysRevE.84.066118>, DMC coefficient, SILVA-FILHO
 et al. (2021) <doi:10.1016/j.physa.2020.125285>, Delta RHODCCA coefficient,
 Guedes et al. (2018) <doi:10.1016/j.physa.2018.02.148> and
 <doi:10.1016/j.dib.2018.03.080> , Delta DMCA coefficient and Delta DMC
 coefficient.

Package: r-cran-gnar
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 553
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggforce, r-cran-ggplot2, r-cran-ggpubr, r-cran-igraph, r-cran-matrixcalc, r-cran-rlang, r-cran-viridis, r-cran-wordcloud
Filename: pool/dists/focal/main/r-cran-gnar_1.1.4-1.ca2004.1_all.deb
Size: 510280
MD5sum: 5e520f0a70c7ddde71c17a7456b71ca3
SHA1: e360cdf98a4fd9e1ac31c9f0425b408e41c005e1
SHA256: 29da0c505ee3425ea066fcb46abe538e7babb7d43c752e60fd84af42b15b005a
SHA512: 83b2508365399c90074f727c54d80b6f84c56881d403a5bfacd4251c03ff1a3ab53f41dd068a652c2006c749010b5e69a309ab697dba59df6bdcd156285bf924
Homepage: https://cran.r-project.org/package=GNAR
Description: CRAN Package 'GNAR' (Methods for Fitting Network Time Series Models)
 Simulation of, and fitting models for, Generalised Network Autoregressive
 (GNAR) time series models which take account of network structure,
 potentially with exogenous variables.  Such models are described in Knight
 et al. (2020) <doi:10.18637/jss.v096.i05> and Nason and Wei (2021)
 <doi:10.1111/rssa.12875>.  Diagnostic tools for GNAR(X) models can be found
 in Nason et al. (2023) <doi:10.48550/arXiv.2312.00530>.

Package: r-cran-gnfit
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ismev, r-cran-rmutil
Filename: pool/dists/focal/main/r-cran-gnfit_0.2.0-1.ca2004.1_all.deb
Size: 29952
MD5sum: 1cae84b4cd268754537de2a16f34f4dd
SHA1: a577cbda465d52f71e3d608f96125ca8ba29fbdb
SHA256: 8b7bbcdfb41fa27328bcd3829290be65463842edd1433e493132fedb418ed874
SHA512: 57f7d888e6113b2509acc5ceb39b994755687fd36014cbb38b17780595d3fa192a0552a6832494cdf5eb4843e9185947a9017d72939008a4b6b66b7cd5ff1c49
Homepage: https://cran.r-project.org/package=gnFit
Description: CRAN Package 'gnFit' (Goodness of Fit Test for Continuous Distribution Functions)
 Computes the test statistic and p-value of the Cramer-von Mises and
 Anderson-Darling test for some continuous distribution functions proposed by
 Chen and Balakrishnan (1995)
 <http://asq.org/qic/display-item/index.html?item=11407>. In addition to our
 classic distribution functions here, we calculate the Goodness of Fit (GoF)
 test to dataset which follows the extreme value distribution function,
 without remembering the formula of distribution/density functions.
 Calculates the Value at Risk (VaR) and Average VaR are another important
 risk factors which are estimated by using well-known distribution functions.
 Pflug and Romisch (2007, ISBN: 9812707409) is a good reference to study the
 properties of risk measures.

Package: r-cran-gngtools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 902
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-ggplot2, r-cran-scales, r-cran-stringr, r-cran-plyr, r-cran-gridextra, r-cran-gtable, r-cran-reshape2, r-cran-extradistr, r-cran-janitor, r-cran-latex2exp, r-cran-knitr, r-cran-tictoc, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-data.table, r-cran-mvtnorm, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-gngtools_1.0.0-1.ca2004.1_all.deb
Size: 739840
MD5sum: 4298b7f2fcbab44f8eaa662466b04ee2
SHA1: 9171445a7dfcb65e3da4d8a25b7e6e1cd2363c5f
SHA256: 86438c91c0d69640a248708d150295514edbe5f2a3e9a188908b62cd078cd02a
SHA512: 98db63e1489c2ece04f2b9c70f0779503c53203a4b3316f0430d3c5b085ca0f7d727e1518a57fab711b53cd8f916e0407eaaea99d22a211915e24fe2f1ea5b1d
Homepage: https://cran.r-project.org/package=GNGTools
Description: CRAN Package 'GNGTools' (Tools for Go/No-Go Decision-Making Framework)
 Go/No-Go Decision-making Framework based on Bayesian posterior probabilities
 linked to the target product profile.

Package: r-cran-gnn
Architecture: all
Version: 0.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-r6, r-cran-qrng, r-cran-copula
Suggests: r-cran-nvmix, r-cran-qrmdata, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-gnn_0.0-4-1.ca2004.1_all.deb
Size: 166896
MD5sum: a04d631411d94bb3a9cd1c2c1a69a097
SHA1: 2bb3b48586aea7d54c227ec231d20f083755f900
SHA256: baae231975f27edb079ebd4cf3ccd13488e0619f8eb3775b1dd9fb2b52a91dd8
SHA512: 6e358e28daa05f96525cda1629f1aa5d8ca77fa4eaad13818d864b0f847c9c5392b49fee97146a706cfcf8f648a40e249884c33c3dc76515f864467692076530
Homepage: https://cran.r-project.org/package=gnn
Description: CRAN Package 'gnn' (Generative Neural Networks)
 Tools to set up, train, store, load, investigate and analyze generative
 neural networks. In particular, functionality for generative moment matching
 networks is provided.

Package: r-cran-gnomonicm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1091
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minqa, r-cran-triangle, r-cran-kableextra
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-gnomonicm_1.0.1-1.ca2004.1_all.deb
Size: 398020
MD5sum: 11b6cb640c64d5120ee1dd112204c88a
SHA1: 3c0ffed19a43d626701aca565ba96126794c83b8
SHA256: f2c1d67b9c02d4ea6062ab7ce8f7528e518373b0418bcd9036cd0b68c49d7062
SHA512: b46f58b73bb409a633658772d5ee23a96dbfb51c7148607913da9cf1f9d16b2069684ccf94d85d8c5690a25041fb9e35a5928f46123b117a90deb8cdeb8ece2a
Homepage: https://cran.r-project.org/package=gnomonicM
Description: CRAN Package 'gnomonicM' (Estimate Natural Mortality for Different Life Stages)
 Estimate natural mortality (M) throughout the life history for organisms,
 mainly fish and invertebrates, based on gnomonic interval approach proposed
 by Caddy (1996) <doi:10.1051/alr:1996023> and Martinez-Aguilar et al. (2005)
 <doi:10.1016/j.fishres.2004.04.008>.  It includes estimation of duration of
 each gnomonic interval (life stage), the constant probability of death (G),
 and some basic plots.

Package: r-cran-gnonadd
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 638
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-gnonadd_1.0.3-1.ca2004.1_all.deb
Size: 601312
MD5sum: 1b01387e0dfc80119f549e20777de1f4
SHA1: 53394ba0af94dbdceea14b6f7cf8445090bb75e1
SHA256: 1763c32be7e11ba862212f590c3b0413bebb157eaec28a9f93b13399481b73b5
SHA512: e20982fca2117907d847dcaeb74a62c4c0eb028185c3d2d119f4c55d8acd16fc66219f770bb0abdf8399fa1e84eaeb7226e8f5181484a971ed167b6ec32fd7b6
Homepage: https://cran.r-project.org/package=gnonadd
Description: CRAN Package 'gnonadd' (Various Non-Additive Models for Genetic Associations)
 The goal of 'gnonadd' is to simplify workflows in the analysis of
 non-additive effects of sequence variants. This includes variance effects
 (Ivarsdottir et. al (2017) <doi:10.1038/ng.3928>), correlation effects,
 interaction effects and dominance effects. The package also includes
 convenience functions for visualization.

Package: r-cran-gnorm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gnorm_1.0.0-1.ca2004.1_all.deb
Size: 78488
MD5sum: e2a797058b00e71868d050f491fdbec8
SHA1: 8b151bf54854f9a38c07939ea4a7a2b0cceba3d4
SHA256: 81fc76139fdc8c4f21bbec8c002de6b34f92fedc98d0f869d98faf4c0a1dd2ff
SHA512: b53909036c099c3e7cc75df7ba0478cc536e0aad1d15d22da9795deb2c6fc1fe7fde3e27544199c548231747ccdffc48e144ade1e013356ccf25e55984df74cd
Homepage: https://cran.r-project.org/package=gnorm
Description: CRAN Package 'gnorm' (Generalized Normal/Exponential Power Distribution)
 Functions for obtaining generalized normal/exponential power distribution
 probabilities, quantiles, densities and random deviates. The generalized
 normal/exponential power distribution was introduced by Subbotin (1923) and
 rediscovered by Nadarajah (2005). The parametrization given by Nadarajah
 (2005) <doi:10.1080/02664760500079464> is used.

Package: r-cran-gnrprod
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-gnrprod_1.1.2-1.ca2004.1_all.deb
Size: 291528
MD5sum: 87f36423ab8e932d4c5aad10bb992f7a
SHA1: a8d06b80f67437a227ed785f89851b1f1dda25ce
SHA256: 21b9c5c5c0d94a2879bdca46d47c8fdb1cb30a8e79fa31b238d556eb61ec1481
SHA512: 44307a7427008cb6d8973cf16cbcb36a64a55221319d9fe413eb09f7829f54ef74acaa5191bcf391b06c5aa365220b171d919e67d3643d020f5ee1cd852b0ad1
Homepage: https://cran.r-project.org/package=gnrprod
Description: CRAN Package 'gnrprod' (Estimates Gross Output Functions)
 Estimation of gross output production functions and productivity in the
 presence of numerous fixed (nonflexible) and a single flexible input using
 the nonparametric identification strategy specified in Gandhi, Navarro, and
 Rivers (2020) <doi:10.1086/707736>. Monte Carlo evidence from the paper
 demonstrates high performance in estimating production function
 elasticities.

Package: r-cran-gnrs
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-gnrs_0.3.4-1.ca2004.1_all.deb
Size: 55552
MD5sum: da0c6d6c0d361880ff1f99ebcf4653f1
SHA1: 28e38d095bf2dafe569a814d84843bc5616eb91f
SHA256: de8f44e5e28d5b97c194a3bc5d2412ae627dc92de9318feb8b34fcd5ba540b2d
SHA512: 78ad89541cbbc21789de0c6cef6610536f0c887c8f7209c8e8bc773261c562cc2f912dee1b5a3cc9d70669a24bb40208551e295641ebf144ff1cb29ca0b1c694
Homepage: https://cran.r-project.org/package=GNRS
Description: CRAN Package 'GNRS' (Access the 'Geographic Name Resolution Service')
 Provides tools for interacting with the 'geographic name resolution service'
 ('GNRS') API <https://github.com/ojalaquellueva/gnrs> and associated
 functionality. The 'GNRS' is a batch application for resolving &
 standardizing political division names against standard name in the geonames
 database <http://www.geonames.org/>. The 'GNRS' resolves political division
 names at three levels: country, state/province and county/parish. Resolution
 is performed in a series of steps, beginning with direct matching to
 standard names, followed by direct matching to alternate names in different
 languages, followed by direct matching to standard codes (such as ISO and
 FIPS codes). If direct matching fails, the 'GNRS' attempts to match to
 standard and then alternate names using fuzzy matching, but does not perform
 fuzzing matching of political division codes. The 'GNRS' works down the
 political division hierarchy, stopping at the current level if all matches
 fail. In other words, if a country cannot be matched, the 'GNRS' does not
 attempt to match state or county.

Package: r-cran-gnssseg
Architecture: all
Version: 6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-robustbase, r-cran-capushe
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gnssseg_6.0-1.ca2004.1_all.deb
Size: 67768
MD5sum: f8c4127c562aff345bbcc5ca70a5860e
SHA1: 9d5ce118297f1ca6c71d9ea49c855f8876bfbe29
SHA256: 040e99475a6c6036356a472b53a20c43143cc81782e6b5850029aa85e82da70e
SHA512: 438bb4234d1fc714219c06952c465d7d4e22fd56e3b8b68073b4a06a0f07bd5ca3f174b9500dd0fd9e690d84e45d18b8adfb33b88b173eb2194d4f7abded19e0
Homepage: https://cran.r-project.org/package=GNSSseg
Description: CRAN Package 'GNSSseg' (Homogenization of GNSS Series)
 Homogenize GNSS (Global Navigation Satellite System) time-series. The
 general model is a segmentation in the mean model including a periodic
 function and considering monthly variances, see Quarello (2020)
 <arXiv:2005.04683>.

Package: r-cran-gnumeric
Architecture: all
Version: 0.7-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gnumeric_0.7-10-1.ca2004.1_all.deb
Size: 41628
MD5sum: 5fe30b9b3a8a72f3eba45b653171d873
SHA1: 3e3c8811261f65641ecf2ee757243d9781e84f3d
SHA256: 676b4e49396d43c8f7b153e88fd3e72ff08aa955e0117ed23e32f96fa852c092
SHA512: 934993cea017acf726646db74b82458a90d917167647830e0e42a1895d7b2aa51bd799432b8812fcdc0f60481f7f1a527d4ed4044f2e042f9ef890bf45f27a8f
Homepage: https://cran.r-project.org/package=gnumeric
Description: CRAN Package 'gnumeric' (Read Data from Files Readable by 'gnumeric')
 Read data files readable by 'gnumeric' into 'R'. Can read whole sheet or a
 range, from several file formats, including the native format of 'gnumeric'.
 Reading is done by using 'ssconvert' (a file converter utility included in
 the 'gnumeric' distribution <http://www.gnumeric.org>) to convert the
 requested part to CSV. From 'gnumeric' files (but not other formats) can
 list sheet names and sheet sizes or read all sheets.

Package: r-cran-go2bigq
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmpfr, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-go2bigq_2.0.1-1.ca2004.1_all.deb
Size: 16700
MD5sum: df095d14ccef0fec7a26dfe216f8d83d
SHA1: 77a3ff1c64b6ede844c7014e809a5c33fff92047
SHA256: d54dcaf812ceec02bb69837ba5a8b0ad887ee96adb68c5ca2dd242f9cc4e6aef
SHA512: efb2f8660e64f6712f07c22a2050d4d9c9bf062abc756ce60b3ae55ddd41a79065b375d120caf4732cfa0d2e5b51f73f5f232be55ac1868623e0db5b0a7428db
Homepage: https://cran.r-project.org/package=go2bigq
Description: CRAN Package 'go2bigq' (Convert Large Numbers to Bigq Format)
 This function converts mfpr, numeric, or character strings representing
 numbers to bigq format without loss of precision.

Package: r-cran-goalp
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-goalp_0.3.1-1.ca2004.1_all.deb
Size: 101660
MD5sum: 35bf61a8270cf09208a105e0dd7bbfc2
SHA1: ba380b6bbd2274fb792980e657106c5b744e62bb
SHA256: 9f2edcd51d50690dc094b2c109fce7e308e384cb5c40a9f9738a8fde15da8653
SHA512: 0aa6af94d78ef4b9d02f07e5c08b1cfae5dbd79552f8438318a01e2a53f4735d7866323f6ca7c5132a4da93271160b9e5ce7b12611da86d8964364f5c59894b8
Homepage: https://cran.r-project.org/package=goalp
Description: CRAN Package 'goalp' (Weighted and Lexicographic Goal Programming Interface)
 Solves goal programming problems of the weighted and lexicographic type, as
 well as combinations of the two, as described by Ignizio (1983)
 <doi:10.1016/0305-0548(83)90003-5>. Allows for a simple human-readable input
 describing the problem as a series of equations. Relies on the 'lpSolve'
 package to solve the underlying linear optimisation problem.

Package: r-cran-gocompare
Architecture: all
Version: 1.0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2667
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-vegan, r-cran-ggplot2, r-cran-ggrepel, r-cran-igraph, r-cran-stringr, r-cran-mathjaxr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gocompare_1.0.2.2-1.ca2004.1_all.deb
Size: 2559512
MD5sum: 39e3ab45b00771c7aa8cd2f3598ad3e8
SHA1: eebe200bbb0d8e7f95981d61894f28fbf96e1f81
SHA256: 1d5550490d18245c06a33c3d1dfac7c39d7e717315f615a3e7f4425e12b853aa
SHA512: cddf9b423ba315a46586872f77bb4f05d6adb69a0a27033ec34e4eb57cee0090cc4ecc98e8c34e6b40641ab80f82d9561b34df78d1ba727b616ddd899b6db52d
Homepage: https://cran.r-project.org/package=GOCompare
Description: CRAN Package 'GOCompare' (Comprehensive GO Terms Comparison Between Species)
 Supports the assessment of functional enrichment analyses obtained for
 several lists of genes and provides a workflow to analyze them between two
 species via weighted graphs. Methods are described in Sosa et al. (2023)
 <doi:10.1016/j.ygeno.2022.110528>.

Package: r-cran-godley
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4830
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tidyr, r-cran-igraph, r-cran-purrr, r-cran-vctrs, r-cran-rlang, r-cran-rootsolve, r-cran-plotly, r-cran-magrittr, r-cran-checkmate, r-cran-vecsets, r-cran-lubridate, r-cran-data.table, r-cran-tibble, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-godley_0.2.2-1.ca2004.1_all.deb
Size: 1170040
MD5sum: 43b5190280379644fab1bc29bf8bf579
SHA1: ef09645d300c30acf9ce38e8de26fe3603a664a5
SHA256: a541d801e0f78b30062f2124bebae6faf32df42affda83a52b009c31e63c334b
SHA512: ff50390293453219f5071cf89626c77cb3bd9803b48c2d6b4162ec499737ef74369972f04154d983ae82366115c238cc9a4dd4da156f2dac40cc85e592cc4fc5
Homepage: https://cran.r-project.org/package=godley
Description: CRAN Package 'godley' (Stock-Flow-Consistent Model Simulator)
 Define, simulate, and validate stock-flow consistent (SFC) macroeconomic
 models. The godley R package offers tools to dynamically define model
 structures by adding variables and specifying governing systems of
 equations. With it, users can analyze how different macroeconomic structures
 affect key variables, perform parameter sensitivity analyses, introduce
 policy shocks, and visualize resulting economic scenarios. The accounting
 structure of SFC models follows the approach outlined in the seminal study
 by Godley and Lavoie (2007, ISBN:978-1-137-08599-3), ensuring a
 comprehensive integration of all economic flows and stocks. The algorithms
 implemented to solve the models are based on methodologies from Kinsella and
 O'Shea (2010) <doi:10.2139/ssrn.1729205>, Peressini and Sullivan (1988,
 ISBN:0-387-96614-5), and contributions by Joao Macalos.

Package: r-cran-goeveg
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vegan, r-cran-fields, r-cran-mgcv, r-cran-hmisc
Suggests: r-cran-vegdata, r-cran-biodiversityr, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-goeveg_0.7.6-1.ca2004.1_all.deb
Size: 155432
MD5sum: b6e58da00ef54ecc4c534db89fea1af9
SHA1: d1c30205bbe6b9e088f5d9e3a60601694fe8fb1c
SHA256: 08089341cd446d3c0fd5a11b6736fe3f4234609841a23f60ed79015b24d2ec90
SHA512: b07605dff1e4fd7061fbf11ac2b0936f8135c04259f659cbbe3bf0ff40d47759ed0ef5976fb49d5ed3b523e691f34c7757986b7835f7d758785fa6456311fa1b
Homepage: https://cran.r-project.org/package=goeveg
Description: CRAN Package 'goeveg' (Functions for Community Data and Ordinations)
 A collection of functions useful in (vegetation) community analyses and
 ordinations. Includes automatic species selection for ordination diagrams,
 NMDS stress/scree plots, species response curves, merging of taxa as well as
 calculation and sorting of synoptic tables.

Package: r-cran-gofastr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-quanteda, r-cran-slam, r-cran-snowballc, r-cran-tm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gofastr_0.3.0-1.ca2004.1_all.deb
Size: 365248
MD5sum: 42b1c84917e89dec19fe8989f3313350
SHA1: 59d8be69874198c526fae4c9f552f80480f90b61
SHA256: 4df8b66c4e7c5e53b99a116d72db9a4d0d9bb85db236c8e62057eaa5f56e2aad
SHA512: e362f0905252fe5180234e6cf76613f3509e46b76522838cc01b8a230836b6381dc6940c6b04a08b1a702c014d7e6c98ad1deaa62bd7ddfbd371be562940b824
Homepage: https://cran.r-project.org/package=gofastr
Description: CRAN Package 'gofastr' (Fast DocumentTermMatrix and TermDocumentMatrix Creation)
 Harness the power of 'quanteda', 'data.table' & 'stringi' to quickly
 generate 'tm' DocumentTermMatrix and TermDocumentMatrix data structures.

Package: r-cran-gofcat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-matrix, r-cran-epir, r-cran-reshape, r-cran-stringr, r-cran-vgam
Suggests: r-cran-serp, r-cran-dfidx, r-cran-mlogit, r-cran-nnet, r-cran-ordinal, r-cran-mass, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gofcat_0.1.2-1.ca2004.1_all.deb
Size: 158192
MD5sum: b757546238635b6e3f00758871751a96
SHA1: db5436c7b90275e10019e4935c7bf3d9f1efa573
SHA256: 274632b0f58d500b2f33cdc7dbeea0480a761d634702e0f8237492cfaf95f425
SHA512: 40876be73851b1b0284c54ca7a3232ea62143944b06d6e0fc5c5b80b6f6e699239e93815543350c583c4e4e178f47f66cfe30a407c6b0bdc331f504b9087a847
Homepage: https://cran.r-project.org/package=gofcat
Description: CRAN Package 'gofcat' (Goodness-of-Fit Measures for Categorical Response Models)
 A post-estimation method for categorical response models (CRM).  Inputs from
 objects of class serp(), clm(), polr(), multinom(), mlogit(), vglm() and
 glm() are currently supported. Available tests include the Hosmer-Lemeshow
 tests for the binary, multinomial and ordinal logistic regression; the
 Lipsitz and the Pulkstenis-Robinson tests for the ordinal models. The
 proportional odds, adjacent-category, and constrained continuation-ratio
 models are particularly supported at ordinal level. Tests for the
 proportional odds assumptions in ordinal models are also possible with the
 Brant and the Likelihood-Ratio tests. Moreover, several summary measures of
 predictive strength (Pseudo R-squared), and some useful error metrics,
 including, the brier score, misclassification rate and logloss are also
 available for the binary, multinomial and ordinal models. Ugba, E. R. and
 Gertheiss, J. (2018)
 <http://www.statmod.org/workshops_archive_proceedings_2018.html>.

Package: r-cran-gofcens
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-actuar, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-gridextra, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rms
Filename: pool/dists/focal/main/r-cran-gofcens_1.5-1.ca2004.1_all.deb
Size: 443368
MD5sum: f086da813a5e67989b84887a04d0d0e9
SHA1: 095239abd2bcaf5b050d856ba37a3a93e78f2d05
SHA256: 13e57a850d9a3fea81aeb9c6cafdb7ee9f1eb8788238b3effdb319439b6e0ebc
SHA512: 3becaeee2c42b379c01b3e0dd9269deba744eb332bcd94258183d76fac07950fd7a7abb07e79dc4caeade234a88c8954df2bf5024dc6b030e7deb32ae9c5b644
Homepage: https://cran.r-project.org/package=GofCens
Description: CRAN Package 'GofCens' (Goodness-of-Fit Methods for Right-Censored Data)
 Graphical tools and goodness-of-fit tests for right-censored data: 1.
 Kolmogorov-Smirnov, Cramér-von Mises, and Anderson-Darling tests, which use
 the empirical distribution function for complete data and are extended for
 right-censored data.  2. Generalized chi-squared-type test, which is based
 on the squared differences between observed and expected counts using random
 cells with right-censored data.  3. A series of graphical tools such as
 probability or cumulative hazard plots to guide the decision about the most
 suitable parametric model for the data.  These functions share several
 features as they can handle both complete and right-censored data, and they
 provide parameter estimates for the distributions under study.

Package: r-cran-gofedf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-compquadform, r-cran-mass, r-cran-glm2, r-cran-statmod
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gofedf_1.0.0-1.ca2004.1_all.deb
Size: 122248
MD5sum: e13bdd148785148f2c11513a1f7e0b84
SHA1: 5d9c0a093c45151e04765125b590ac2a5ac0bbbc
SHA256: a74df3122f9d8b03e663df1d576418aadb1a7f8513f217956d6ddf4f10a4174f
SHA512: e92d1bc7971a7be3af4663b507c57089c5b1e542c23ddeffc3ccdea1e7f226229ac7f50d6d2f57453c6cb81eea9611978f983b97edacda10461f5af2c2a8da0e
Homepage: https://cran.r-project.org/package=gofedf
Description: CRAN Package 'gofedf' (Goodness of Fit Tests Based on Empirical Distribution Functions)
 Routines that allow the user to run goodness of fit tests based on empirical
 distribution functions for formal model evaluation in a general likelihood
 model. In addition, functions are provided to test if a sample follows
 Normal or Gamma distributions, validate the normality assumptions in a
 linear model, and examine the appropriateness of a Gamma distribution in
 generalized linear models with various link functions. Michael Arthur
 Stephens (1976) <http://www.jstor.org/stable/2958206>.

Package: r-cran-gofgamma
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gofgamma_1.0-1.ca2004.1_all.deb
Size: 66076
MD5sum: 1d64895a66973f46ef8f57032d6c716c
SHA1: 68fe96392134b100e544ffb0a95e95251fec4d0c
SHA256: aa14d075c011278432cf59676db73636773bec1cefe1856e4e2cd7e817c0aebb
SHA512: 54c547568d802a02ab2e05d15e04eca0b2797a663096b003d1d35514a2891b3d79a0ed63f5632d406d70f5944e0ea2d27e464c6dc373770648053cd323b26241
Homepage: https://cran.r-project.org/package=gofgamma
Description: CRAN Package 'gofgamma' (Goodness-of-Fit Tests for the Gamma Distribution)
 We implement various classical tests for the composite hypothesis of testing
 the fit to the family of gamma distributions as the Kolmogorov-Smirnov test,
 the Cramer-von Mises test, the Anderson Darling test and the Watson test.
 For each test a parametric bootstrap procedure is implemented, as considered
 in Henze, Meintanis & Ebner (2012) <doi:10.1080/03610926.2010.542851>. The
 recent procedures presented in Henze, Meintanis & Ebner (2012)
 <doi:10.1080/03610926.2010.542851> and Betsch & Ebner (2019)
 <doi:10.1007/s00184-019-00708-7> are implemented. Estimation of parameters
 of the gamma law are implemented using the method of Bhattacharya (2001)
 <doi:10.1080/00949650108812100>.

Package: r-cran-gofig
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma, r-cran-rmutil
Filename: pool/dists/focal/main/r-cran-gofig_1.0-1.ca2004.1_all.deb
Size: 80724
MD5sum: 0f86066695724b8d9226109325ce76fc
SHA1: 392d912e2ad1647100154fe1a4894a0429a763e3
SHA256: 02c3660ef4fd43b2a924a3c9b41e78fb1288a615428d9b726c775bf2285f2953
SHA512: 1f131a65b7e0969637c4c6a848b8fabbf8877a93491aed7657c08fb8aecc40a17df19cf6e9fa1746058917a967c4fa5278a591c845ab5d26a00c16d6913e77fb
Homepage: https://cran.r-project.org/package=gofIG
Description: CRAN Package 'gofIG' (Goodness-of-Fit Tests for the Inverse Gaussian Distribution)
 We implement various tests for the composite hypothesis of testing the fit
 to the family of inverse Gaussian distributions.  Included are methods
 presented by Allison, J.S., Betsch, S., Ebner, B., and Visagie, I.J.H.
 (2022) <doi:10.48550/arXiv.1910.14119>, as well as two tests from Henze and
 Klar (2002) <doi:10.1023/A:1022442506681>.  Additionally, the package
 implements a test proposed by Baringhaus and Gaigall (2015)
 <doi:10.1016/j.jmva.2015.05.013>.  For each test a parametric bootstrap
 procedure is implemented.

Package: r-cran-gofigr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-base64enc, r-cran-readr, r-cran-magick, r-cran-qrcode, r-cran-getpass, r-cran-scriptname, r-cran-rstudioapi, r-cran-rsvg, r-cran-cowplot, r-cran-ggplotify
Suggests: r-cran-ggplot2, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-gofigr_0.3.1-1.ca2004.1_all.deb
Size: 176460
MD5sum: 5e0dbd55a81f0faf58fba9310804783e
SHA1: 111a5950b5f528a362520c0a48179433d1a091e0
SHA256: 5792d3d7bdd9ee5d7172d9f6b63b04b9e7c32d6d522d25622f851b1c6d4301a5
SHA512: 774dd5a423064f17c25e6a29704025fda7313e693fa883203926fc4f441ce4035dff1bfe52ddfa04ea61376f690220f4c0906382b66ac34e5e30faa038e47e61
Homepage: https://cran.r-project.org/package=gofigR
Description: CRAN Package 'gofigR' (Client for 'GoFigr.io')
 Integrates with your 'RMarkdown' documents to automatically publish figures
 to the <https://GoFigr.io> service. Supports both 'knitr' and interactive
 execution within 'RStudio'.

Package: r-cran-gofkernel
Architecture: all
Version: 2.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-gofkernel_2.1-3-1.ca2004.1_all.deb
Size: 61500
MD5sum: e84ed8815e4360113fedaaa2cab82e9b
SHA1: fd6b716fc5f79a2d87259dca45781c2ab9901c99
SHA256: b8debcdb4d0680552ab7225165293d58cdadfc4c5005a1c8161ef456ffda569a
SHA512: 998285e1f7165e34dd611c181c06991d984006ab660599a07536f40cd18f29599ac759c91452a7c0f233298a09094313843cc80adfc45b53ec411e8089dbefd8
Homepage: https://cran.r-project.org/package=GoFKernel
Description: CRAN Package 'GoFKernel' (Testing Goodness-of-Fit with the Kernel Density Estimator)
 Tests of goodness-of-fit based on a kernel smoothing of the data.
 References: Pavía (2015) <doi:10.18637/jss.v066.c01>.

Package: r-cran-gofreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1155
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ggplot2, r-cran-r6, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gofreg_1.0.0-1.ca2004.1_all.deb
Size: 806656
MD5sum: fcd7eadac73b344387bb9ad419dcefa4
SHA1: 9f6242be5ffd9e37f65d7511e991f967bc6a1867
SHA256: 9b3bc4f5ad4de8b5c951072d308ac953deaaab939f293b2a480525abc60965fb
SHA512: d17d770e3fab133891fafbe4d086fa8428f1a13bf79a322d4fc6b980cf1098bc05f8a629407b93f91562c2a889aa805a5dc147b2ea23aaa7d0aca5ff870c03b5
Homepage: https://cran.r-project.org/package=gofreg
Description: CRAN Package 'gofreg' (Bootstrap-Based Goodness-of-Fit Tests for Parametric Regression)
 Provides statistical methods to check if a parametric family of conditional
 density functions fits to some given dataset of covariates and response
 variables. Different test statistics can be used to determine the
 goodness-of-fit of the assumed model, see Andrews (1997)
 <doi:10.2307/2171880>, Bierens & Wang (2012)
 <doi:10.1017/S0266466611000168>, Dikta & Scheer (2021)
 <doi:10.1007/978-3-030-73480-0> and Kremling & Dikta (2024)
 <doi:10.48550/arXiv.2409.20262>. As proposed in these papers, the
 corresponding p-values are approximated using a parametric bootstrap method.

Package: r-cran-gofshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-gofshiny_0.1.0-1.ca2004.1_all.deb
Size: 69164
MD5sum: 5a275a2c00d6aa86ae679c7452606690
SHA1: a6231c7de9f653204aaee90b538b7d6c7d3e9925
SHA256: a9515b96b57329d74f62711a93a6154105f77ab2a8cc83e301539c13efea974d
SHA512: c13033eef723fd1c11c5a9aa9004ce77ce599817f63b459c879586eb72b5f8c15465e139cc0853801a20c6c92223bed301e62df91446872f76ea6f30fab59f0c
Homepage: https://cran.r-project.org/package=GOFShiny
Description: CRAN Package 'GOFShiny' (Interactive Document for Working with Goodness of Fit Analysis)
 An interactive document on the topic of goodness of fit analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://predanalyticssessions1.shinyapps.io/ChiSquareGOF/>.

Package: r-cran-goft
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus, r-cran-sn
Filename: pool/dists/focal/main/r-cran-goft_1.3.6-1.ca2004.1_all.deb
Size: 107412
MD5sum: b939c406d9a9a4c13d9ba681dd7c7272
SHA1: 507ed0860e2fa3a8897b76eda78e4efbdad7f2d5
SHA256: c6dda4f468b7bf1bc7f80cf5e05807d2b909f52169c7cacc0d64cb623253c2b9
SHA512: 3b2861cc39bb76cd623bff40e2b313e4b9bfb4777d85785116a6be6a90de609cc3e4244d701a08c86faa694b6335ac928b1f456a20257c3e059a521e4d172387
Homepage: https://cran.r-project.org/package=goft
Description: CRAN Package 'goft' (Tests of Fit for some Probability Distributions)
 Goodness-of-fit tests for skew-normal, gamma, inverse Gaussian, log-normal,
 'Weibull', 'Frechet', Gumbel, normal, multivariate normal, Cauchy, Laplace
 or double exponential, exponential and generalized Pareto distributions.
 Parameter estimators for gamma, inverse Gaussian and generalized Pareto
 distributions.

Package: r-cran-goganpa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ganpa, r-cran-wgcna
Suggests: r-cran-ganpadata
Filename: pool/dists/focal/main/r-cran-goganpa_1.0-1.ca2004.1_all.deb
Size: 1454980
MD5sum: 4c0e80ee5f94347790d4e2809d7d628b
SHA1: 794c57272309fbc7347d2a41be65b75c65aefb67
SHA256: c1493c543b55dc7703685eabfd25743d06bae1a342d0f9385764acd66b2ea638
SHA512: 6bbd8cb39eb026c8cfc28e1134dd1e0a5032a1c2a6ddcbec36747dbdb02fe48621a13c80bca95a52f0c0c6919c84308dfa4d7a0f32dc2b1823db47731e77aa15
Homepage: https://cran.r-project.org/package=GOGANPA
Description: CRAN Package 'GOGANPA' (GO-Functional-Network-based Gene-Set-Analysis)
 Accounting for genes' functional-non-equivalence within pathways in
 classical Gene-set-analysis.

Package: r-cran-gogarch
Architecture: all
Version: 0.7-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 989
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fgarch, r-cran-fastica
Filename: pool/dists/focal/main/r-cran-gogarch_0.7-5-1.ca2004.1_all.deb
Size: 737688
MD5sum: b6956d2638bed18056e2474fcba99179
SHA1: c7abf8fb99bece3ba152dc7da6f1362b1f046c34
SHA256: 7495cba225380d66e8c0f04f0e7fc8761cb93418fbf30cff5c9f2c0d752b9086
SHA512: 87ac6b8bc04a733515afba5ab4bcac29ef22fd6c9d8e2c1b85d56b93fd2f50c0f35368c0e02f1388ad58cc0271f77a7e3c8b95c93142c09c879c08d5ce76919a
Homepage: https://cran.r-project.org/package=gogarch
Description: CRAN Package 'gogarch' (Generalized Orthogonal GARCH (GO-GARCH) Models)
 Provision of classes and methods for estimating generalized orthogonal GARCH
 models. This is an alternative approach to CC-GARCH models in the context of
 multivariate volatility modeling.

Package: r-cran-goldprice
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-goldprice_0.1.0-1.ca2004.1_all.deb
Size: 905632
MD5sum: 8bfd20db76e0bb4998458d95f74a633e
SHA1: 105b08a4289d4f871d666f8d483ee076492f0a34
SHA256: 60dc94fb9728e49ac69ba8ffb1b7943cdf22dde9aedd4b33a8df4923f3b20ba5
SHA512: 2148ce054135c43cd1849d99e65eca68c677e0182b9a2c3879e7a13f4b0e45edfe677773a6607f8087aa9f19b35bf14ef1cba40cdcfd572306dbd312b3614d95
Homepage: https://cran.r-project.org/package=GOLDprice
Description: CRAN Package 'GOLDprice' (Gold Price Data)
 A collection of gold price data in various currencies in the form of USD,
 EUR, JPY, GBP, CAD, CHF, INR, CNY, TRY, SAR, IDR, AED, THB, VND, EGP, KRW,
 RUB, ZAR, and AUD. This data comes from the World Gold Council. In addition,
 the data is in the form of daily, weekly, monthly (average and the end of
 period), quarterly (average and the end of period), and yearly (average and
 the end of period).

Package: r-cran-golem
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1786
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-attempt, r-cran-config, r-cran-here, r-cran-htmltools, r-cran-rlang, r-cran-shiny, r-cran-yaml
Suggests: r-cran-attachment, r-cran-callr, r-cran-cli, r-cran-covr, r-cran-crayon, r-cran-desc, r-cran-devtools, r-cran-dockerfiler, r-cran-fs, r-cran-httpuv, r-cran-knitr, r-cran-mockery, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-processx, r-cran-purrr, r-cran-rcmdcheck, r-cran-remotes, r-cran-renv, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rsconnect, r-cran-rstudioapi, r-cran-sass, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-golem_0.5.1-1.ca2004.1_all.deb
Size: 1155092
MD5sum: 5f2ffa6e077ffec3c5d058be37d0c57b
SHA1: 00950b530fa70e0fbd766fea4dcee52590a00048
SHA256: ea41fef41bb7410c8766584ccaef27d82572f3da3937cf7f65d11845952060cc
SHA512: 950368642608189d5e2430672389696be07e3f9d5a59d195358026d1ce6a85b04a2e22057620fc331ab79536a4a78a9282279dff93f9fec913b576dee9b4bae7
Homepage: https://cran.r-project.org/package=golem
Description: CRAN Package 'golem' (A Framework for Robust Shiny Applications)
 An opinionated framework for building a production-ready 'Shiny'
 application. This package contains a series of tools for building a robust
 'Shiny' application from start to finish.

Package: r-cran-golfr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-golfr_0.1.0-1.ca2004.1_all.deb
Size: 20400
MD5sum: 33957e5cf1bc097f8626258211a383cc
SHA1: 25f9d329cc1bd3cb0efa1b424fb7c278f65c79f0
SHA256: 385575e5015809cc19690708c0bc8f2f075b13f1d5c614f8f603a34a16788b25
SHA512: aaa28d71b1934962db37f83bbc98ab13fdf35c7b93283adff27027de6ef0559d5b012e0c0685157c71bb98d5484f3a798ed545abbdc7f0edcfa98219e0784b73
Homepage: https://cran.r-project.org/package=golfr
Description: CRAN Package 'golfr' (Group Assignment Tool)
 An efficient algorithm to generate group assignments for classroom settings
 while minimizing repeated pairings across multiple rounds.

Package: r-cran-gominer
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4164
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minimalistgodb, r-cran-hgnchelper, r-cran-randomgodb, r-cran-gplots, r-cran-vprint
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gominer_1.3-1.ca2004.1_all.deb
Size: 3803752
MD5sum: e41428e1fe5207b357fa6cc89022d544
SHA1: 1c375d913a09b742595823629420b5b1d2aa6489
SHA256: 176d5eca5301d0f497d6b0f49e21b6ebeb60f373398e7ae394b00cdc0aebc65c
SHA512: 01f9574743076711e5fcde81e29a0235082172163354fd7bc276836bdb8d26c4ccba54268de4fe0ed3244bc29f627f4852d47aa1399121af9bedd4c7e48e4f59
Homepage: https://cran.r-project.org/package=GoMiner
Description: CRAN Package 'GoMiner' (Automate the Mapping Between a List of Genes and Gene OntologyCategories)
 In gene-expression microarray studies, for example, one generally obtains a
 list of dozens or hundreds of genes that differ in expression between
 samples and then asks 'What does all of this mean biologically?'
 Alternatively, gene lists can be derived conceptually in addition to
 experimentally. For instance, one might want to analyze a group of genes
 known as housekeeping genes. The work of the Gene Ontology (GO) Consortium
 <geneontology.org> provides a way to address that question. GO organizes
 genes into hierarchical categories based on biological process, molecular
 function and subcellular localization. The role of 'GoMiner' is to automate
 the mapping between a list of genes and GO, and to provide a statistical
 summary of the results as well as a visualization.

Package: r-cran-gomms
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gomms_1.0-1.ca2004.1_all.deb
Size: 30036
MD5sum: cabfeb9b343f6999cc25c55afeb7144d
SHA1: 1954e659c588eaaa5eef0696d4c165144569cabd
SHA256: 8dcbda30cc0bd405f33c89fabe1e760d13ea719241d9230cc9d4d6c46263ecc7
SHA512: 018118e7f8d07b095325be6cc32bba67227010f532234c2fea8c0ec40a7a9ae0c37910539b928472f4e7e0c900553f8f7c666033f6082482d92ae89c37638ea5
Homepage: https://cran.r-project.org/package=gomms
Description: CRAN Package 'gomms' (GLM-Based Ordination Method)
 A zero-inflated quasi-Poisson factor model to display similarity between
 samples visually in a low (2 or 3) dimensional space.

Package: r-cran-gomogomonomi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 843
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Filename: pool/dists/focal/main/r-cran-gomogomonomi_0.1.0-1.ca2004.1_all.deb
Size: 823552
MD5sum: ff7699b21a831c547cde85d2bce03214
SHA1: feab8cdbfbc4fdf968d47028431c6063e1e877d5
SHA256: 0c3772bdacec0478ec5c63fcfbf9e5d08455aa183fed325cd531ba163598def5
SHA512: 05b2895d9d2b8eac09523a8a81fe1faecf5742025365db158ede26b1c736f9d102604688bb5493ffaf6667b9e26c96fd212c73d436cc345b38aed3c045ba4dc9
Homepage: https://cran.r-project.org/package=GomoGomonoMi
Description: CRAN Package 'GomoGomonoMi' (Animate Text using the 'Animate.css' Library)
 Allows the user to animate text within 'rmarkdown' documents and 'shiny'
 applications.  The animations are activated using the 'Animate.css' library.
 See <https://animate.style/> for more information.

Package: r-cran-gomp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-hmisc, r-cran-mass, r-cran-nnet, r-cran-ordinal, r-cran-quantreg, r-cran-rfast, r-cran-rfast2, r-cran-survival
Suggests: r-cran-dcorvs
Filename: pool/dists/focal/main/r-cran-gomp_1.0-1.ca2004.1_all.deb
Size: 89640
MD5sum: acbe7c76d81a8c0f0d626e686b239302
SHA1: 44acdaaf8c5be82380cee20ae94bac0dd43ab57b
SHA256: adb51c7587162fb31208cac15912800eccc6fb49f1f53ec6eaac101882cec4c1
SHA512: 7a226957e9c01b586c47e1a6be3d2b561321e3285453c1d37571d3cc1f10c6e432c9f7c60e22720f0a5227480bf1dadc9f5db8c90445c81df9115dce4c63742f
Homepage: https://cran.r-project.org/package=gomp
Description: CRAN Package 'gomp' (The gamma-OMP Feature Selection Algorithm)
 The gamma-Orthogonal Matching Pursuit (gamma-OMP) is a recently suggested
 modification of the OMP feature selection algorithm for a wide range of
 response variables. The package offers many alternative regression models,
 such linear, robust, survival, multivariate etc., including k-fold
 cross-validation. References: Tsagris M., Papadovasilakis Z., Lakiotaki K.
 and Tsamardinos I. (2018). "Efficient feature selection on gene expression
 data: Which algorithm to use?" BioRxiv. <doi:10.1101/431734>. Tsagris M.,
 Papadovasilakis Z., Lakiotaki K. and Tsamardinos I. (2022). "The gamma-OMP
 algorithm for feature selection with application to gene expression data".
 IEEE/ACM Transactions on Computational Biology and Bioinformatics 19(2):
 1214--1224. <doi:10.1109/TCBB.2020.3029952>.

Package: r-cran-gompertztrunc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4084
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-cowplot, r-cran-data.table, r-cran-dplyr, r-cran-flexsurv, r-cran-ggplot2, r-cran-ggsci, r-cran-magrittr, r-cran-modelr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-socviz, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-gompertztrunc_0.1.2-1.ca2004.1_all.deb
Size: 4012448
MD5sum: 3c1791fd36029ff2649a34517a0e1ca8
SHA1: 76349c09a65a99ac62467ad45b20d0c09cb8bef5
SHA256: a471fc3bbb8edd017244ff3b2f1f5e37c358e1d75ec79e3eb1fa08e9da83fe3a
SHA512: d211fe89e56841206476eec6a33871a2fd657606939262b526de17f7a0bfc054c14f7440fcf98248015a8469dbf8c182d3683c8f6311f0e067c0c0f9dee27bea
Homepage: https://cran.r-project.org/package=gompertztrunc
Description: CRAN Package 'gompertztrunc' (Conducting Maximum Likelihood Estimation with TruncatedMortality Data)
 Estimates hazard ratios and mortality differentials for doubly-truncated
 data without population denominators. This method is described in Goldstein
 et al. (2023) <doi:10.1007/s11113-023-09785-z>.

Package: r-cran-gontr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2880
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gontr_1.1.0-1.ca2004.1_all.deb
Size: 2903460
MD5sum: ffd8c8867e379b0e5f8873ef2ca7b7ce
SHA1: c04e2c9179875b8fe6e8e87685ed2651d890e599
SHA256: 90abd7e27744c80fe1cbbbc074ff43eeae8747baeed43e0ad79caf850214b5c5
SHA512: e72826ef787760debe6c29a8695fa7b195043f7bb9d23beea5a3c54a68b132b118d65175db4565a756ee7bff78f7079cc7ab65ca76051d5a62588ae6102d5f41
Homepage: https://cran.r-project.org/package=gontr
Description: CRAN Package 'gontr' (Dataset for 'GOxploreR')
 Contains the Gene ontology terms and skeleton for the reduced GO directed
 acyclic graph (DAG) for the organisms Rat and Mouse. The methods are
 explicitly discussed in the following article : Manjang et al (2020)
 <doi:10.1038/s41598-020-73326-3>.

Package: r-cran-good
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-maxlik, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-good_1.0.2-1.ca2004.1_all.deb
Size: 71612
MD5sum: c87ac4bfb903d603901e0bf54d482e68
SHA1: b4c71c40f1391d8657e7b696988d4c33441f0dec
SHA256: 4186dddd4d577c33e4cd54c1f1b6722496f2f5d88ad225fa7101fa9c7e790d83
SHA512: b264ad042cf22e2d349d03de926b09ddda6c9f30768f8ebde3eeaee96307ecbba1a3031d0122de60168fdc9926c03f2f56d71c05fa2fc4d6f1ae596eadef07c0
Homepage: https://cran.r-project.org/package=good
Description: CRAN Package 'good' (Good Regression)
 Fit Good regression models to count data (Tur et al., 2021)
 <doi:10.48550/arXiv.2105.01557>. The package provides functions for model
 estimation and model prediction. Density, distribution function, quantile
 function and random generation for the Good distribution are also provided.

Package: r-cran-goodfibes
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-imager, r-cran-rgl, r-cran-concaveman, r-cran-prodlim, r-cran-splines2
Filename: pool/dists/focal/main/r-cran-goodfibes_0.1.10-1.ca2004.1_all.deb
Size: 421172
MD5sum: 06571c60226021b993fd93a37199b4ad
SHA1: 8856955e3084820b06a38a20afdda04c9b76b296
SHA256: 21f3d584263f0ce3981b0920e81c5dd503ffe39589d8e5c029d5106bf6adfe47
SHA512: b4515bd4bda8a9e5761f749b0a5731781340868fa5bf3aa7fe85ebf09ebcba1b2175cb97c6d2cafacde5ebcaa259c6cffd507bb8ca7bc739d9fb72b6d0b05b60
Homepage: https://cran.r-project.org/package=GoodFibes
Description: CRAN Package 'GoodFibes' (Detection and Reconstruction of Muscle Fibers from diceCT ImageData)
 Reconstruction of muscle fibers from image stacks using textural analysis.
 Includes functions for tracking, smoothing, cleaning, plotting and exporting
 muscle fibers. Also calculates basic fiber properties (e.g., length and
 curvature).

Package: r-cran-goodfitsbm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 796
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-irlba
Filename: pool/dists/focal/main/r-cran-goodfitsbm_0.0.1-1.ca2004.1_all.deb
Size: 539532
MD5sum: 962ebbba1491aa091f71c1fc833d0438
SHA1: 5504b14bb7c1122d7259e12f2c311447e8ad73a8
SHA256: 0ff9da3f0546c0003140669c097834a6b4664f44dd50c637069b51c8de4f6080
SHA512: 5bed352d4330607c09c044a20a54c90a35713a40f130a72446409703139531aa6d492432ca7e01267fc0043b1994d5e7f7143c70c1c9c6a14546d63f5bfaf658
Homepage: https://cran.r-project.org/package=GoodFitSBM
Description: CRAN Package 'GoodFitSBM' (Monte Carlo Goodness-of-Fit Tests for Stochastic Block Models)
 Performing goodness-of-fit tests for stochastic block models used to fit
 network data. Among the three variants discussed in Karwa et al. (2023)
 <doi:10.1093/jrsssb/qkad084>, goodness-of-fit test has been performed for
 the Erdos-Renyi (ER) and Beta versions.

Package: r-cran-goodmankruskal
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-classint, r-cran-corrplot
Suggests: r-cran-knitr, r-cran-mass, r-cran-testthat, r-cran-car, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-goodmankruskal_0.0.3-1.ca2004.1_all.deb
Size: 279740
MD5sum: ced0778b57b165b7474be1dc35e02c92
SHA1: 8c2afb55018682b8874b10cfb877086e7e686388
SHA256: 8588c9f8469a628a1e1c22e60f0499bd0a418264fa291a4c8267464db49ca4e7
SHA512: fb93ad5e34e9a0e7c0b76599313ecf1b8571826bec448a9292dd6c0f91327c00768de091ec60fbc68d41955291f1e16a0b02781e59b82b9aafd26ef9313eea9f
Homepage: https://cran.r-project.org/package=GoodmanKruskal
Description: CRAN Package 'GoodmanKruskal' (Association Analysis for Categorical Variables)
 Association analysis between categorical variables using the Goodman and
 Kruskal tau measure. This asymmetric association measure allows the
 detection of asymmetric relations between categorical variables (e.g., one
 variable obtained by re-grouping another).

Package: r-cran-goodpractice
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clisymbols, r-cran-covr, r-cran-crayon, r-cran-cyclocomp, r-cran-desc, r-cran-jsonlite, r-cran-lintr, r-cran-praise, r-cran-rcmdcheck, r-cran-rstudioapi, r-cran-whoami, r-cran-withr, r-cran-xml2, r-cran-xmlparsedata
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-goodpractice_1.0.5-1.ca2004.1_all.deb
Size: 225996
MD5sum: 185925dce04b4d5e39cb3600bf5effd7
SHA1: e20bf7ef4513991127d9a4ad22d3b27f361cda09
SHA256: a84c262ffa881adbcec64629d8f8b17a4491a0869e6afc17c4342ffd3a7be579
SHA512: a711c8f859737136e4e72a35749eae253a801c4fa8df5ef4fad311be7996f3e9464be77eee29fa7b548b529ac2c3a6bbee96889d06791ffd5d7e1224d9b828ac
Homepage: https://cran.r-project.org/package=goodpractice
Description: CRAN Package 'goodpractice' (Advice on R Package Building)
 Give advice about good practices when building R packages.  Advice includes
 functions and syntax to avoid, package structure, code complexity, code
 formatting, etc.

Package: r-cran-goodreader
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cld2, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rvest, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidytext, r-cran-tm, r-cran-topicmodels, r-cran-wordcloud2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-goodreader_0.1.2-1.ca2004.1_all.deb
Size: 4268760
MD5sum: 1deff90da928c7bca098316d47f00c81
SHA1: ce1b10450f7b24bb976fc7dedad0f0ed3678917b
SHA256: 979757c2e9fb97097ac576b33d45a7ed477ce88b0f87c3a6d2920ee74318ddd9
SHA512: ae4ca28603bb9981d0bd34d665073dbde2bc2d3177950e41df3fd9a58451c24257d6761bbb723e585c5f9aa2abf6d5a030b42dd69417862905c865a4414092f7
Homepage: https://cran.r-project.org/package=Goodreader
Description: CRAN Package 'Goodreader' (Scrape and Analyze 'Goodreads' Book Data)
 A comprehensive toolkit for scraping and analyzing book data from
 <https://www.goodreads.com/>. This package provides functions to search for
 books, scrape book details and reviews, perform sentiment analysis on
 reviews, and conduct topic modeling. It's designed for researchers, data
 analysts, and book enthusiasts who want to gain insights from 'Goodreads'
 data.

Package: r-cran-googleadsr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-googleadsr_1.0.0-1.ca2004.1_all.deb
Size: 55412
MD5sum: ca5a0f849ad71c3686215db9633007d9
SHA1: c1b82cbda7e820fd8991e72e35c4206ead38044c
SHA256: a42759d16053704d976fbf05462312d265c18d11867d0bc7730d63e8103690fd
SHA512: 8b584c28d7f9570676802c552ddcd3fce17adce2d6f7cfeb32bc1a0d5b8d69e3f002323228f36659593fa37aabe0fa64bcb258dd078d838a2d1d7ab128f9a492
Homepage: https://cran.r-project.org/package=googleadsR
Description: CRAN Package 'googleadsR' (Access to 'Google Ads' via the 'Windsor.ai' API)
 Collect marketing data from 'Google Ads' using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.

Package: r-cran-googleanalyticsr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1779
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-dplyr, r-cran-googleauthr, r-cran-gargle, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-measurementprotocol, r-cran-memoise, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-usethis, r-cran-whisker
Suggests: r-cran-covr, r-cran-formatr, r-cran-googlecloudstorager, r-cran-htmlwidgets, r-cran-knitr, r-cran-lifecycle, r-cran-miniui, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googleanalyticsr_1.2.0-1.ca2004.1_all.deb
Size: 1107140
MD5sum: 8532cdfc5bf2430b3d1a000cc87b7572
SHA1: e7cc6f1eeb2117efeba1bf01e54a7f17e2e3779e
SHA256: 6f324891511a37d96fea4c21ccb30046aa1a9ba92a00d8fccb04e5d3e55f64f1
SHA512: 2f5902f663918b10cf6f5f8946e51bd39b2a4e4babd1f994b157d886a0dcac62784349f5e1661985c159ecfedb4fd3b102abf65aba0f156e06e2f384b21e587a
Homepage: https://cran.r-project.org/package=googleAnalyticsR
Description: CRAN Package 'googleAnalyticsR' (Google Analytics API into R)
 Interact with the Google Analytics APIs
 <https://developers.google.com/analytics/>, including the Core Reporting API
 (v3 and v4), Management API, User Activity API GA4's Data API and Admin API
 and Multi-Channel Funnel API.

Package: r-cran-googleauthr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 720
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-digest, r-cran-gargle, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-rlang
Suggests: r-cran-covr, r-cran-devtools, r-cran-formatr, r-cran-googleanalyticsr, r-cran-knitr, r-cran-miniui, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-googleauthr_2.0.2-1.ca2004.1_all.deb
Size: 375356
MD5sum: 5b39732bf5b6c3a31424f4f96ebf8477
SHA1: d76c42924474c4550827c0b60cc4585a57f5b277
SHA256: 73de177d2b4607c6cf208961afeacdf919413732813f3ad2bce1c5ed2d567edb
SHA512: 109f1b5d562ab4436a87ddfacf54111e79eb60649e9cb4677ef95cb6b259798d1d683828fbe721b31af9788c2f242610e431d31bdf6c9e159addea50fde36503
Homepage: https://cran.r-project.org/package=googleAuthR
Description: CRAN Package 'googleAuthR' (Authenticate and Create Google APIs)
 Create R functions that interact with OAuth2 Google APIs
 <https://developers.google.com/apis-explorer/> easily, with auto-refresh and
 Shiny compatibility.

Package: r-cran-googlecloudrunner
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-curl, r-cran-googleauthr, r-cran-googlecloudstorager, r-cran-googlepubsubr, r-cran-httr, r-cran-jose, r-cran-jsonlite, r-cran-openssl, r-cran-plumber, r-cran-usethis, r-cran-withr, r-cran-yaml
Suggests: r-cran-knitr, r-cran-markdown, r-cran-miniui, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-targets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googlecloudrunner_0.5.0-1.ca2004.1_all.deb
Size: 526184
MD5sum: 12e5a85ac5b7a539a8668fe3d18ed46f
SHA1: d16ad11de2fa5113f1fd72d07b16d842a9132b01
SHA256: 9ec120301381cc45b776f868b4102a5cf1c5ddfd86fb060ce79e47ce90e2c25e
SHA512: 924cc3d997816ad06bdf80bc1f500a5ba0032efee8dcaf24faa9c0e79de6628b77a153ca4521a0e1dbc1d5ccced14e1de5667ca925643207349c4acf82bcc181
Homepage: https://cran.r-project.org/package=googleCloudRunner
Description: CRAN Package 'googleCloudRunner' (R Scripts in the Google Cloud via Cloud Run, Cloud Build andCloud Scheduler)
 Tools to easily enable R scripts in the Google Cloud Platform.  Utilise
 cloud services such as Cloud Run <https://cloud.google.com/run/> for R over
 HTTP, Cloud Build <https://cloud.google.com/build> for Continuous Delivery
 and Integration services and Cloud Scheduler
 <https://cloud.google.com/scheduler/> for scheduled scripts.

Package: r-cran-googlecloudstorager
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-curl, r-cran-googleauthr, r-cran-jsonlite, r-cran-openssl, r-cran-yaml, r-cran-zip
Suggests: r-cran-fs, r-cran-googlecomputeenginer, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-sodium, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-googlecloudstorager_0.7.0-1.ca2004.1_all.deb
Size: 204772
MD5sum: ad286f71766e17b71e508e237768ca39
SHA1: 87b4d810d6ab7f07178ddbf76ca59a6e0c832e93
SHA256: ec6bfac8dcbfb57f250e20e881ad50d179e10d396c22bafe821ac0cf97d7d8f9
SHA512: 473b3258ed3fe6d0e39e4d0138235f3002ebecd024790ca8bc0b3b81311bb503d9c416744eed52ad34cedb8be57b16184ccaacc9f361b02db7509a09206a9ab3
Homepage: https://cran.r-project.org/package=googleCloudStorageR
Description: CRAN Package 'googleCloudStorageR' (Interface with Google Cloud Storage API)
 Interact with Google Cloud Storage <https://cloud.google.com/storage/> API
 in R. Part of the 'cloudyr' <https://cloudyr.github.io/> project.

Package: r-cran-googlecloudvisionr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-googleauthr, r-cran-jsonlite, r-cran-purrr, r-cran-data.table, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-covr
Filename: pool/dists/focal/main/r-cran-googlecloudvisionr_0.2.0-1.ca2004.1_all.deb
Size: 1149696
MD5sum: ccb69718d9ea779033107530f4ed2e79
SHA1: fa9aa8f535c0a3f8a9cfc93a54c2caa9811fc7ed
SHA256: e4cbc454e75d9a737da822947adda88e39c37707bbedbbbcb3c93600d0d92a33
SHA512: 97eb1a7b3546f778186049e5d6ab30383c62cf7eb8e5c8a1afffbf0cc55232da151cfb560a226f83cefbfd2510b083a1851f4b4aea8444be92a6c6d9ea5ec4a7
Homepage: https://cran.r-project.org/package=googleCloudVisionR
Description: CRAN Package 'googleCloudVisionR' (Access to the 'Google Cloud Vision' API for Image Recognition,OCR and Labeling)
 Interact with the 'Google Cloud Vision' <https://cloud.google.com/vision/>
 API in R. Part of the 'cloudyr' <https://cloudyr.github.io/> project.

Package: r-cran-googlecomputeenginer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-future, r-cran-googleauthr, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-googlecloudstorager, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googlecomputeenginer_0.3.0-1.ca2004.1_all.deb
Size: 2594924
MD5sum: 893b8fc9538eafae637b1da7f7750bfd
SHA1: 919b9dd7256fb7a55c8e86a77321aee310c034aa
SHA256: 9d72046c7bf90e17f91f2410ee811ad62e78a129a42d8c7aa0a2cdd20d4a36a2
SHA512: 41694487466aa1d699b9aae98330008fad074db745f12bd45dee5efe13ae6fafb138a2d2d9652bf0ce67dcf930921b587b9d8e263488ae70df60bebe68f1659c
Homepage: https://cran.r-project.org/package=googleComputeEngineR
Description: CRAN Package 'googleComputeEngineR' (R Interface with Google Compute Engine)
 Interact with the 'Google Compute Engine' API in R. Lets you create, start
 and stop instances in the 'Google Cloud'.  Support for preconfigured
 instances, with templates for common R needs.

Package: r-cran-googledrive
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1964
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-gargle, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-uuid, r-cran-vctrs, r-cran-withr
Suggests: r-cran-curl, r-cran-dplyr, r-cran-knitr, r-cran-mockr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googledrive_2.1.1-1.ca2004.1_all.deb
Size: 1193400
MD5sum: 9429660cf8fd0829f7e9b3becdd7b24c
SHA1: 5ec344664093ff3765d513b3e6206e023ed658b4
SHA256: 09e118da12f48e79b5fba7ff93428bddc1e19a692d29679ab34527163aec32da
SHA512: 25203cf1528953c9817636ce0c070ee55afafe69097c6cfa8645a1b99b84dfcdfdc95587f68e6730362c51e9ea9141d29f51fa41d4df76fe543c614fb1ca6c50
Homepage: https://cran.r-project.org/package=googledrive
Description: CRAN Package 'googledrive' (An Interface to Google Drive)
 Manage Google Drive files from R.

Package: r-cran-googleerrorreportingr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googleerrorreportingr_0.0.4-1.ca2004.1_all.deb
Size: 119088
MD5sum: 35979c413bb29e32faa46f57546507c0
SHA1: 4f7da151cb7be86d2062c4e12f4132e311302ba9
SHA256: 0695a57501c59a5ac414932e98612090ca7116fb8f36ae41eab603fc054eb34b
SHA512: bcd3f62c8d3ac3a47cf401eb5e4c17077d09d2c7a7c084bcddc9e5c51beb0a20631f5836f34119b262f557157a91ff6ac365e7d734f2e41ef932a3ef5da4531f
Homepage: https://cran.r-project.org/package=googleErrorReportingR
Description: CRAN Package 'googleErrorReportingR' (Send Error Reports to the Google Error Reporting Service API)
 Send error reports to the Google Error Reporting service
 <https://cloud.google.com/error-reporting/> and view errors and assign error
 status in the Google Error Reporting user interface.

Package: r-cran-googleformr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googleformr_0.0.3-1.ca2004.1_all.deb
Size: 75908
MD5sum: f38b82e0e8a0ca02243fbe57da775bc0
SHA1: f33e300797aaf7a71330edc39ab18cbdeb7a7581
SHA256: d28b02deca5ac1873fc68bba6fe4afb74609886c618dd2b4b715546109908e41
SHA512: 1b29110a13faff268d4c6de6546a9773591e2c79f67aaa63c92c0e1357bda2a71007583c6e38e1d82c77a4e7fbdc0d9154aa4737a6c9cd179f20324165f0ff35
Homepage: https://cran.r-project.org/package=googleformr
Description: CRAN Package 'googleformr' (Collect Data Programmatically by POST Methods to Google Forms)
 GET and POST data to Google Forms; an API to Google Forms, allowing users to
 POST data securely to Google Forms without needing authentication or
 permissioning.

Package: r-cran-googleimage2array
Architecture: all
Version: 0.99.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 777
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest, r-bioc-ebimage, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googleimage2array_0.99.2-1.ca2004.1_all.deb
Size: 225176
MD5sum: 7ebece868f35e83f257f9dd50826df54
SHA1: 719219c970aed64eb767329caec9c45270f50d35
SHA256: 4ba7545275855e6bb0ad28cf704eeeee6fefa2db2f3f41f74d10c92cb656ae49
SHA512: 4e8a34d164a2277010f436fb846d8bae06fa28e44dc4e5eb61f03611e4685756afe4842b4ca873fdd0b0cbaaf5aaa2b97f46253c98c5fce5a94721f43a0afca2
Homepage: https://cran.r-project.org/package=GoogleImage2Array
Description: CRAN Package 'GoogleImage2Array' (Create Array Data from 2D Image Thumbnails via Google ImageSearch)
 Images are provided as an array dataset of 2D image thumbnails from Google
 Image Search <https://www.google.com/search>.  This array data may be
 suitable for a training data of machine learning or deep learning as a first
 trial.

Package: r-cran-googleknowledgegraphr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-curl
Filename: pool/dists/focal/main/r-cran-googleknowledgegraphr_0.1.0-1.ca2004.1_all.deb
Size: 19040
MD5sum: 853300f459a7a9dab273eb3243515655
SHA1: 70866a296676593503986a3dcfb7ba15e46bfbcd
SHA256: aafceb557c89bf05f7dea4a46950a50dd46698000727dd4e4dfb0a11328a86cd
SHA512: 9c3bc64d1b348b092775a8322fb24c5ba918e8a597a09f94d65e03a4e08b0ead5011a81dee26410042cca5ce888c6df7b6157f71cfc551ca1d9ea6b507565b1a
Homepage: https://cran.r-project.org/package=GoogleKnowledgeGraphR
Description: CRAN Package 'GoogleKnowledgeGraphR' (Retrieve Information from 'Google Knowledge Graph' API)
 Allows you to retrieve information from the 'Google Knowledge Graph' API
 <https://www.google.com/intl/bn/insidesearch/features/search/knowledge.html>
 and process it in R in various forms. The 'Knowledge Graph Search' API lets
 you find entities in the 'Google Knowledge Graph'. The API uses standard
 'schema.org' types and is compliant with the 'JSON-LD' specification.

Package: r-cran-googlelanguager
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-base64enc, r-cran-googleauthr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-cld2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rvest, r-cran-shiny, r-cran-shinyjs, r-cran-stringdist, r-cran-tidyr, r-cran-tuner, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-googlelanguager_0.3.0-1.ca2004.1_all.deb
Size: 1953944
MD5sum: 75048a1bffa671bddd398c0d7dfd2315
SHA1: fc9ecf25a02fb31326257720440a0e15284b2916
SHA256: e738d5a8b2dcba996542220507ca4863285a9a52742226202acb285f3e6c6c2d
SHA512: 591b8cd2b91c19968120c345c2022651de26ac2848ee4b98fbdae8745df51965be1347bef26fbfc76c0b757dac545969f2c3960fb0e578082c1cd9413a825e3d
Homepage: https://cran.r-project.org/package=googleLanguageR
Description: CRAN Package 'googleLanguageR' (Call Google's 'Natural Language' API, 'Cloud Translation' API,'Cloud Speech' API and 'Cloud Text-to-Speech' API)
 Call 'Google Cloud' machine learning APIs for text and speech tasks.  Call
 the 'Cloud Translation' API <https://cloud.google.com/translate/> for
 detection and translation of text, the 'Natural Language' API
 <https://cloud.google.com/natural-language/> to analyse text for sentiment,
 entities or syntax, the 'Cloud Speech' API
 <https://cloud.google.com/speech/> to transcribe sound files to text and the
 'Cloud Text-to-Speech' API <https://cloud.google.com/text-to-speech/> to
 turn text into sound files.

Package: r-cran-googlenlp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googlenlp_0.2.0-1.ca2004.1_all.deb
Size: 45788
MD5sum: ee7cdcf275fa61c72b3da155cf081a1c
SHA1: ff4b10dcf88788f3324afc5adef2d2d47faa5b4f
SHA256: 305c01cce7d984fd37585565d707f1663a29b61531e054cc618f95411d20d0e0
SHA512: 8decec4d3f1f5506a4c93dcd329e6653a4cdfd7305c13a44d9175a2a72b250a93f8dff9928ad0728cd409c4f1e1275facb207956e96474890ccbe77ed305f64f
Homepage: https://cran.r-project.org/package=googlenlp
Description: CRAN Package 'googlenlp' (An Interface to Google's Cloud Natural Language API)
 Interact with Google's Cloud Natural Language API
 <https://cloud.google.com/natural-language/> (v1) via R. The API has four
 main features, all of which are available through this R package: syntax
 analysis and part-of-speech tagging, entity analysis, sentiment analysis,
 and language identification.

Package: r-cran-googleprintr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-googleauthr, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-drat
Filename: pool/dists/focal/main/r-cran-googleprintr_0.0.1-1.ca2004.1_all.deb
Size: 22864
MD5sum: 9568fc0cae21e6dc47a12c5f96fd8a38
SHA1: cf656594ac1961bd30539ae7cd2f5bc6d3d6fae1
SHA256: 13367ab7bb1f3b92acac0d72aee99aa11b2e9f5adea39ddc6237001b18969c85
SHA512: 19e6c04cd2c73c0a8971462ea0573017d7283921c8081bf32389bff1dbf95d4fe0463d6ee8778eed4db1801040d2dc492f6e5ed71e2123d7220140650505fda6
Homepage: https://cran.r-project.org/package=googlePrintr
Description: CRAN Package 'googlePrintr' (Connect to 'Google Cloud Print' API)
 Allows printing documents from R through 'Google Cloud Print' API.  See
 <https://developers.google.com/cloud-print/docs/overview> for more
 information about 'Google Cloud Print'.

Package: r-cran-googlepublicdata
Architecture: all
Version: 0.16.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-readxl
Suggests: r-cran-testthat, r-cran-covr, r-cran-googlevis
Filename: pool/dists/focal/main/r-cran-googlepublicdata_0.16.1-1.ca2004.1_all.deb
Size: 76332
MD5sum: 1eb1126b352f6ce642db19c4f34b1c7e
SHA1: 000f836c61fde30d79f7314eb6bb757cd9a0ee52
SHA256: b8ed1a7da4aa59fb50fe004a52656ed25666abe0f9b6f02a582a1b5ced92cc5a
SHA512: 34867f8205077288374181e8bc61330a50991ce52b4315285521eae084f80e1c2347860888050ff5d67c65680dbe638718765855a3f9f1dbbcf3bf7ace43938d
Homepage: https://cran.r-project.org/package=googlePublicData
Description: CRAN Package 'googlePublicData' (Working with Google's 'Public Data Explorer' DSPL Metadata Files)
 Provides a collection of functions to set up 'Google Public Data Explorer'
 <https://www.google.com/publicdata/> data visualization tool with your own
 data, building automatically the corresponding DataSet Publishing Language
 file, or DSPL (XML), metadata file jointly with the CSV files. All zip-up
 and ready to be published in 'Public Data Explorer'.

Package: r-cran-googlepubsubr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-googleauthr, r-cran-cli, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-jsonlite, r-cran-base64enc, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-future, r-cran-promises
Filename: pool/dists/focal/main/r-cran-googlepubsubr_0.0.4-1.ca2004.1_all.deb
Size: 355896
MD5sum: f63ee1986bb4897ab3e7336b8b96e943
SHA1: 3e38e599659dfb7aeb0fe1477b8b4a96f1b5038e
SHA256: 4ff91d1c2c414f1e84c2af768d692ecc188c113f3fc5c7826b1609cb088f1443
SHA512: 46152de5a0c2698bc5964799c3d967b9f1e14fb3c6546fc5cfe8d641874a41dbe0ffd68d3152ecbd35f62e91717f5c1307e6eeb3da6f6c67ab38ebc2b58d8cc0
Homepage: https://cran.r-project.org/package=googlePubsubR
Description: CRAN Package 'googlePubsubR' (R Interface for Google 'Cloud Pub/Sub' REST API)
 Provides an easy to use interface to the 'Google Pub/Sub' REST API
 <https://cloud.google.com/pubsub/docs/reference/rest>.

Package: r-cran-googler
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googler_0.0.1-1.ca2004.1_all.deb
Size: 61020
MD5sum: 49b770431163e83e764440a19e8c57d2
SHA1: 82c7432550c3ef72a2d5147279ee22a96c1a0f29
SHA256: 569e7b2179de6f4fafe77b951882f1004551199e140b1dfdfa49acc9cf0b7812
SHA512: 2075ffa64cd986cc3ed3380601fc04690d7b5142034d212d0f69851a484909858ef06dbc754d2062836e605c4930be2d14e2a1680d6afc216699ae297eccfe4f
Homepage: https://cran.r-project.org/package=googler
Description: CRAN Package 'googler' (Google from the R Console)
 This is a wrapper for the command line tool 'googler', which can be found at
 the following URL: <https://github.com/jarun/googler>.

Package: r-cran-googlesheets4
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 576
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cellranger, r-cran-cli, r-cran-curl, r-cran-gargle, r-cran-glue, r-cran-googledrive, r-cran-httr, r-cran-ids, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rematch2, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-readr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googlesheets4_1.1.1-1.ca2004.1_all.deb
Size: 506540
MD5sum: c1c46aaee0691f9817d03994e3f04599
SHA1: 91dc8e6bae20110f1e54788b8670bee84b889d6a
SHA256: 30bd4c82adc97248526b8bd96e411871219c65fc50ed8528b53c8269c2f75eec
SHA512: e8e4e431ec885d5e4859e0667029c4395c4c29974c9e832b2a765feb186d51c15a2254021e13065c6901d889d79a7244a9eb9b94d6d2f1dc334d63dd9ff85aa0
Homepage: https://cran.r-project.org/package=googlesheets4
Description: CRAN Package 'googlesheets4' (Access Google Sheets using the Sheets API V4)
 Interact with Google Sheets through the Sheets API v4
 <https://developers.google.com/sheets/api>. "API" is an acronym for
 "application programming interface"; the Sheets API allows users to interact
 with Google Sheets programmatically, instead of via a web browser. The "v4"
 refers to the fact that the Sheets API is currently at version 4. This
 package can read and write both the metadata and the cell data in a Sheet.

Package: r-cran-googletagmanager
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-future, r-cran-googleauthr, r-cran-jsonlite, r-cran-dplyr, r-cran-purrr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googletagmanager_0.2.0-1.ca2004.1_all.deb
Size: 239292
MD5sum: 2eee6cf21fe1286411a9cd5df66ee686
SHA1: cbd780fada2daabc73234a0f33c3387b8422b4aa
SHA256: 50737929944070773ad11d17be05998ed611d6ed83e283b658d92f8665cb48ae
SHA512: 072b5814057693c62b4d2f41c3a66d6f2a36639cc81bd876468aa420ee691effedf09fdf44373a7e90542ad816bf20f2c4eebc291afe23a9aedfe46e17086f60
Homepage: https://cran.r-project.org/package=googleTagManageR
Description: CRAN Package 'googleTagManageR' (Access the 'Google Tag Manager' API using R)
 Interact with the 'Google Tag Manager' API
 <https://developers.google.com/tag-platform/tag-manager/api/v2>, enabling
 scripted deployments and updates across multiple tags, triggers, variables
 and containers.

Package: r-cran-googletraffic
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-googleway, r-cran-htmlwidgets, r-cran-plotwidgets, r-cran-png, r-cran-sf, r-cran-sp, r-cran-stringr, r-cran-webshot2, r-cran-raster, r-cran-colornamer, r-cran-schemr
Filename: pool/dists/focal/main/r-cran-googletraffic_0.1.7-1.ca2004.1_all.deb
Size: 74500
MD5sum: b5df99c589ce5552398d5fe3e7e287f6
SHA1: 0ca94d88a1c53c1329b902d1222a558761de5826
SHA256: 9b9e1ebd7594d79fb0066d9cfa7e6964ea8254a46f9648bc86d5359d87157884
SHA512: 11f13514c5e4cf6d11f395f4bde0f211c2c76cfab974cdcabfb2f3ae4c2606d8b8d2381df8922ebebfd3f653f7907de059df13542719ad1f052ea7ccdabe922b
Homepage: https://cran.r-project.org/package=googletraffic
Description: CRAN Package 'googletraffic' (Google Traffic)
 Create geographically referenced traffic data from the Google Maps
 JavaScript API
 <https://developers.google.com/maps/documentation/javascript/examples/layer-traffic>.

Package: r-cran-googlevis
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 899
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-shiny, r-cran-httpuv, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-googlevis_0.7.3-1.ca2004.1_all.deb
Size: 453784
MD5sum: b68d14abf41aa87d6d5d07706356329c
SHA1: 436333cd311fe4fa369b6681c89c023bb7c08c33
SHA256: 3ce440df3e3d379c9f64ac2c754b91721f7e1364a9b75a9c8dc2f5e05ae5253c
SHA512: d06640051a4b9d893d5148c7049a27c212c5dadf736a431b5037cf85b05c816f5292dbe54ea7799b273927db8a563c6a5369e2174afcf0c8f6c28ff43cd2a634
Homepage: https://cran.r-project.org/package=googleVis
Description: CRAN Package 'googleVis' (R Interface to Google Charts)
 R interface to Google's chart tools, allowing users to create interactive
 charts based on data frames. Charts are displayed locally via the R HTTP
 help server. A modern browser with an Internet connection is required. The
 data remains local and is not uploaded to Google.

Package: r-cran-googleway
Architecture: all
Version: 2.7.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3336
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-curl, r-cran-htmlwidgets, r-cran-htmltools, r-cran-magrittr, r-cran-shiny, r-cran-jpeg, r-cran-jqr, r-cran-viridislite, r-cran-scales, r-cran-googlepolylines
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-googleway_2.7.8-1.ca2004.1_all.deb
Size: 2534708
MD5sum: 6656526c80c1155f55990a498b6554e2
SHA1: 1b3e6c932264c47cdfbcf7fdd033e013660c9f0a
SHA256: 15a95750f76053747c8948c2e26f4884927657f89ef22030cd22d736217407e8
SHA512: 87289c792edcf69483ce40018a689b9248e021aff03677b3a1cf4f7c9da32ef2c6a4c62087e720d80b69f4cba99dab5cabb95059453c0786840d9b5e21ea6db7
Homepage: https://cran.r-project.org/package=googleway
Description: CRAN Package 'googleway' (Accesses Google Maps APIs to Retrieve Data and Plot Maps)
 Provides a mechanism to plot a 'Google Map' from 'R' and overlay it with
 shapes and markers. Also provides access to 'Google Maps' APIs, including
 places, directions, roads, distances, geocoding, elevation and timezone.

Package: r-cran-goplot
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2936
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggdendro, r-cran-gridextra, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-goplot_1.0.2-1.ca2004.1_all.deb
Size: 2425616
MD5sum: fbc9e47849fe0e65fb2a98498c2302f7
SHA1: add11e86b92a40034ccd2948fd5ea2395509ea42
SHA256: 8cbeb6a48b1f39ec539ada0833fd63ddba634868de98b9fd425f176c2410795e
SHA512: 41a9af6489e9431acb7dd09894469d38536de8df97caef1a8c1aa20a58d30ef729ccb84a4c4846f570ede76a81a599c689077f13bfd3699bd2f1396948652ac9
Homepage: https://cran.r-project.org/package=GOplot
Description: CRAN Package 'GOplot' (Visualization of Functional Analysis Data)
 Implementation of multilayered visualizations for enhanced graphical
 representation of functional analysis data. It combines and integrates omics
 data derived from expression and functional annotation enrichment analyses.
 Its plotting functions have been developed with an hierarchical structure in
 mind: starting from a general overview to identify the most enriched
 categories (modified bar plot, bubble plot) to a more detailed one
 displaying different types of relevant information for the molecules in a
 given set of categories (circle plot, chord plot, cluster plot, Venn
 diagram, heatmap).

Package: r-cran-gor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-gor_1.0-1.ca2004.1_all.deb
Size: 251512
MD5sum: 9ff85daec0c6000a07f69f90a889400d
SHA1: 223d06966624678f614bb4249f1da7d6c7b64313
SHA256: cb0f544b4e70e9edead0bf2dcbaadf3e466dda9ce57a09e67044305357065ca1
SHA512: 3ef57fa18cd38e799217abad55863e9ce404c182f08b2d394c4efdfa41a9cfc2d95a595dd2cf4f839a2c6725e91458294c5f787ac134913ac0700cd1a52e9929
Homepage: https://cran.r-project.org/package=gor
Description: CRAN Package 'gor' (Algorithms for the Subject Graphs and Network Optimization)
 Informal implementation of some algorithms from Graph Theory and
 Combinatorial Optimization which arise in the subject "Graphs and Network
 Optimization" from first course of the EUPLA (Escuela Universitaria
 Politecnica de La Almunia) degree of Data Engineering in Industrial
 Processes.  References used are: Cook et al (1998, ISBN:0-471-55894-X),
 Korte, Vygen (2018) <doi:10.1007/978-3-662-56039-6>, Hromkovic (2004)
 <doi:10.1007/978-3-662-05269-3>, Hartmann, Weigt (2005,
 ISBN:978-3-527-40473-5).

Package: r-cran-gorcure
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-icsurv, r-cran-pracma, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gorcure_2.0-1.ca2004.1_all.deb
Size: 69860
MD5sum: 421a767687260839a986d4773411583c
SHA1: 3981dfa343fd6cc67e90f238d15145dd2fecfea5
SHA256: 8b5eebe1753490eaa99f2ed59bf9ee2cd6f6a3cb0128b6de82e040f370836dda
SHA512: 0b59357ee634ac223a40d7a73db3bd3bfd7840b40230d7807e243307e6143a673ef400000d8ea4ed694b2dd8aff5280c5dcaaeb51a9fb6244522858d55800c6f
Homepage: https://cran.r-project.org/package=GORCure
Description: CRAN Package 'GORCure' (Fit Generalized Odds Rate Mixture Cure Model with IntervalCensored Data)
 Generalized Odds Rate Mixture Cure (GORMC) model is a flexible model of
 fitting survival data with a cure fraction, including the Proportional
 Hazards Mixture Cure (PHMC) model and the Proportional Odds Mixture Cure
 Model as special cases. This package fit the GORMC model with interval
 censored data.

Package: r-cran-goric
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-quadprog, r-cran-mvtnorm, r-cran-mass, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-goric_1.1-3-1.ca2004.1_all.deb
Size: 133064
MD5sum: 8cfc49426f00a27c5d016e6e6e29a4aa
SHA1: e77598f321d440e9dcea7504a46940ea845443a6
SHA256: 055c05faff2030d453324d8f6c12d08520839cb4b78202a942b9138fe5c83e5b
SHA512: d4e4487b0332e750624cd665a1f1099b62c72d67ab700cbbd761abe91a01a096fd83aa72b996b85ce88c6742c1899b18e7bccbe988c67c3cfc7e9c178b287b5f
Homepage: https://cran.r-project.org/package=goric
Description: CRAN Package 'goric' (Generalized Order-Restricted Information Criterion)
 Generalized Order-Restricted Information Criterion (GORIC) value for a set
 of hypotheses in multivariate linear models and generalised linear models.

Package: r-cran-gorica
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bain, r-cran-mass, r-cran-mvtnorm, r-cran-quadprog, r-cran-lme4, r-cran-lavaan, r-cran-limsolve
Suggests: r-cran-testthat, r-cran-fraction, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-gorica_0.1.4-1.ca2004.1_all.deb
Size: 187316
MD5sum: b5d149117798aa837ee665937864f7f1
SHA1: 75d533173efb9daef6d3d06e4db8fc435313d2be
SHA256: e61d117f1a3995df2a3026f8f3738ee9962b7d45d0ba74aa89cb71fda5dfb795
SHA512: 323734273e8689641b5f2962a23e0b432f3a2a311c7f7aadf9c3b1ef2e83f905b53f69ee00cec5ec8aa62212e23b97fb6f762475b9ada04f7f87b480e09b624d
Homepage: https://cran.r-project.org/package=gorica
Description: CRAN Package 'gorica' (Evaluation of Inequality Constrained Hypotheses Using GORICA)
 Implements the generalized order-restricted information criterion
 approximation (GORICA), an AIC-like information criterion that can be
 utilized to evaluate informative hypotheses specifying directional
 relationships between model parameters in terms of (in)equality constraints
 (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021),
 <doi:10.31234/osf.io/t3c8g>. The GORICA is applicable not only to normal
 linear models, but also to generalized linear models (GLMs), generalized
 linear mixed models (GLMMs), structural equation models (SEMs), and
 contingency tables. For contingency tables, restrictions on cell
 probabilities can be non-linear.

Package: r-cran-gorpiper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-data.table, r-cran-fs, r-cran-magrittr, r-cran-processx, r-cran-purrr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gorpiper_1.0.1-1.ca2004.1_all.deb
Size: 16388
MD5sum: 32aa1cc319cf9c7c0e7329e3ee17923b
SHA1: 8c72e893007ddc9e30569a776748e7f0541528ad
SHA256: 56c097dea11e53f5c7226f9624d0d9bc33b5e4a8f868a2f46512f7397e01f679
SHA512: 69b3e82df910ec1416f249def585a884786524f2ef865908fb327e0baaab2322eea8171529edabc218a5735f1c623eb5b7e053e423996da8302b10946947061b
Homepage: https://cran.r-project.org/package=gorpiper
Description: CRAN Package 'gorpiper' (GORpipe Tool for R)
 R library for executing GOR queries using local GORpipe.

Package: r-cran-gosset
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bradleyterry2, r-cran-desctools, r-cran-ggplot2, r-cran-ggparty, r-cran-ggrepel, r-cran-partykit, r-cran-plackettluce, r-cran-psychotools, r-cran-qvcalc, r-cran-tidyr, r-cran-patchwork
Suggests: r-cran-climatrends, r-cran-climmobtools, r-cran-chirps, r-cran-gnm, r-cran-knitr, r-cran-psychotree, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gosset_1.4-1.ca2004.1_all.deb
Size: 1466500
MD5sum: 52215d6e091a5c9d01280aea63731747
SHA1: 21560f3abb7d0f144d5770595017567f5dda61e6
SHA256: c54d759bde777a571333ba2d23acca9c5b026bbafa82df5e7e0ff8e0aa9d2ed4
SHA512: 05e83f63720ddf3c72375ffc820a561c8d66939164a8ea842d726de7f7ccda86c8934ddc4d7ebb919c6377071ca12cc73bebefda61896320ce8a8493a238681b
Homepage: https://cran.r-project.org/package=gosset
Description: CRAN Package 'gosset' (Tools for Data Analysis in Experimental Agriculture)
 Methods to analyse experimental agriculture data, from data synthesis to
 model selection and visualisation.  The package is named after W.S. Gosset
 aka ‘Student’, a pioneer of modern statistics in small sample experimental
 design and analysis.

Package: r-cran-gotop
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-gotop_0.1.4-1.ca2004.1_all.deb
Size: 836488
MD5sum: 000eb6afc4f2fd988eb5ba43d2d0bd6c
SHA1: 17ff70b8115c37627572806bfab4b64a00d76a55
SHA256: 0554cdb67cce9bb863bd2d746c913747486eac24d581144d8f541857c80779d8
SHA512: 02123ca323362c6391f9d63b010814dc55c9f7becd46c0e93a9a01ff261f55d0dbd4ebfc9d8f4f10630cc7b5bdea405331d03642242cddccaf9e77a61f82e23e
Homepage: https://cran.r-project.org/package=gotop
Description: CRAN Package 'gotop' (Scroll Back to Top Icon in Shiny and R Markdown)
 Add a scroll back to top 'Font Awesome' icon <https://fontawesome.com/> in
 'rmarkdown' documents and 'shiny' apps thanks to 'jQuery GoTop'
 <https://scottdorman.blog/jquery-gotop/>.

Package: r-cran-govdown
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1969
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-reticulate, r-cran-testthat, r-cran-crosstalk
Filename: pool/dists/focal/main/r-cran-govdown_0.10.1-1.ca2004.1_all.deb
Size: 876888
MD5sum: f07ce3da823b5d6c33e30789c161b884
SHA1: 6604b60fdd479258dda2af8c7f4d7b3d438eaad2
SHA256: 749f29e8e6cd3b922dd2d25ef84a9d33b2e4aa651c245edb417dcb4331769c9f
SHA512: 1b10e04acb80163661a723bece77a7991bf0e85a9da2c86fd09b042ea8b05d4f6062dc0e7d8773765a01d8d4a3bf51c8a1cd149df5029b1d0f3ed889ca58f4c9
Homepage: https://cran.r-project.org/package=govdown
Description: CRAN Package 'govdown' (GOV.UK Style Templates for R Markdown)
 A suite of custom R Markdown formats and templates for authoring web pages
 styled with the GOV.UK Design System.

Package: r-cran-govinfor
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-janitor, r-cran-lubridate, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-govinfor_0.0.3-1.ca2004.1_all.deb
Size: 44724
MD5sum: eca5f0f8450b98798f9d4d40182085a1
SHA1: 61fe35719de49f0d5fb78a8b8b4f5cc21b33ceda
SHA256: 4976714f8fb1fac413b3ad12405765aa511c342d153d8b94a21965707ef93926
SHA512: ab2397ba4dede13db3d300e810189b1259ae0852e56b959c0fe075ab2a7050a56e50ec11f4a16b7e52e73ad6f27b9028c137378d5a12bfe7d0fb9712a3604927
Homepage: https://cran.r-project.org/package=govinfoR
Description: CRAN Package 'govinfoR' (A 'GovInfo' API Wrapper)
 Access data provided by the United States Government Publishing Office (GPO)
 'GovInfo' API (<https://github.com/usgpo/api>).

Package: r-cran-govstatjpn
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-govstatjpn_0.1-1.ca2004.1_all.deb
Size: 24004
MD5sum: d6d99e321f8abfa03bd54ea4f58b411a
SHA1: 0ed2bb8e4da665d3f6e4e07c655209dc27a08454
SHA256: dbebce50859478703ca327f722a12fb5f9a51fc3884996879b825e0d2ddc9f81
SHA512: a024fb9ee7c041d68e865c6b995c705dfb2469b669c9d747c4dbc62bc14867ae5c1616fb991783d79380494cbe48b7efe0186d1e767b827187398ea5839b0692
Homepage: https://cran.r-project.org/package=govStatJPN
Description: CRAN Package 'govStatJPN' (functions to get public survey data in Japan)
 This package purposes to deal with public survey data of Japanese government
 via their Application Programming Interface (http://statdb.nstac.go.jp/)

Package: r-cran-goweragreement
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-goweragreement_1.0-1-1.ca2004.1_all.deb
Size: 283636
MD5sum: 8de5f2dff6caec9a4e1bddd03888bded
SHA1: 4df80719e7e6a2e9f949f3a6441f511ccf8c8285
SHA256: 19e378c8161bb1b785e5bdc3081a7012cbb3978e289c9c97712595152011b5ff
SHA512: e2ac1cd4fdc3519cd9cfe5761e3fc1f3377379c85a9624043974d800ef340adb3c7cc818f7c018df726815b86aab5b5975a94e75019d42dd8658e159a5f11156
Homepage: https://cran.r-project.org/package=goweragreement
Description: CRAN Package 'goweragreement' (Bayesian Gower Agreement for Categorical Data)
 Provides tools for applying the Bayesian Gower agreement methodology
 (presented in the package vignette) to nominal or ordinal data. The
 framework can accommodate any number of units, any number of coders, and
 missingness; and can handle both one-way and two-way random study designs.
 Influential units and/or coders can be identified easily using leave-one-out
 statistics.

Package: r-cran-goxplorer
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6415
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-go.db, r-cran-gontr, r-cran-ggraph, r-cran-igraph, r-cran-network, r-cran-dplyr, r-bioc-biomart, r-bioc-annotate, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-goxplorer_1.2.8-1.ca2004.1_all.deb
Size: 6267224
MD5sum: 788b3b1a92c88a0181bd0adbf65683ec
SHA1: bc1719cb1ccd90c6613268db48a90eb1d153e823
SHA256: cadec986fa1e1f0a50de891c7d9c31fcf6202af9cdc7037cc9106e6e9b51a18e
SHA512: 0f38bd56366d11b15ef9204052c2d55b48dc5d443db66278c85b4702aaf5f0e2366c9b0d327daabb3965ff6f99648a5bd521fc2e5d3e80047f7d259e75912913
Homepage: https://cran.r-project.org/package=GOxploreR
Description: CRAN Package 'GOxploreR' (Structural Exploration of the Gene Ontology (GO) Knowledge Base)
 It provides an effective, efficient, and fast way to explore the Gene
 Ontology (GO).  Given a set of genes, the package contains functions to
 assess the GO and obtain the terms associated with the genes and the levels
 of the GO terms. The package provides functions for the three different GO
 ontology. We discussed the methods explicitly in the following article
 <doi:10.1038/s41598-020-73326-3>.

Package: r-cran-goxygen
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pander, r-cran-stringi, r-cran-gms, r-cran-citation, r-cran-withr, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-qgraph
Filename: pool/dists/focal/main/r-cran-goxygen_1.4.5-1.ca2004.1_all.deb
Size: 202972
MD5sum: 040c2c49c9669379a0e95d818cb67525
SHA1: 65f3c4bd67b613398f03fd9adbcaaa7bd9a348a8
SHA256: 47060f1c8faa83556e5a1ba6711c439684f5018f15e3edb92724c08971138bd7
SHA512: 6587897f19d5d210583ea6f4a74201f678c3acdf7bac890dd3afd6f51ed80ae39554a562b49fc0c198b0c0237fecb0f2265f10ba3c4dbea2c551818c9360dbdc
Homepage: https://cran.r-project.org/package=goxygen
Description: CRAN Package 'goxygen' (In-Code Documentation for 'GAMS')
 A collection of tools which extract a model documentation from 'GAMS' code
 and comments.  In order to use the package you need to install 'pandoc' and
 'pandoc-citeproc' first (<https://pandoc.org/>).

Package: r-cran-gp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rfast, r-cran-rngforgpd
Filename: pool/dists/focal/main/r-cran-gp_1.1-1.ca2004.1_all.deb
Size: 34104
MD5sum: 13aa5347311081371d8109cfcd711e82
SHA1: 017851cb3a63383c64a8a9cc1d83f5fd626e9ec7
SHA256: 7adbfcba8b903372aec75c190bc51ea493f2d690a8f1fcd17eed596a7769e19e
SHA512: 20abc5dbb5a6e953a1480ba5ce10caf5ea0b53950e53a9617c9de25cc5b69fd0c3da61e2c4758367f8dff212d8609211e5f3954a93ba0069aa84d63a83b50905
Homepage: https://cran.r-project.org/package=gp
Description: CRAN Package 'gp' (Maximum Likelihood Estimation of the Generalized PoissonDistribution)
 Functions to estimate the parameters of the generalized Poisson distribution
 with or without covariates using maximum likelihood. The references include
 Nikoloulopoulos A.K. & Karlis D. (2008). "On modeling count data: a
 comparison of some well-known discrete distributions". Journal of
 Statistical Computation and Simulation, 78(3): 437--457,
 <doi:10.1080/10629360601010760> and Consul P.C. & Famoye F. (1992).
 "Generalized Poisson regression model". Communications in Statistics -
 Theory and Methods, 21(1): 89--109, <doi:10.1080/03610929208830766>.

Package: r-cran-gpabin
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ca, r-cran-jomo, r-cran-mi, r-cran-mice, r-cran-missmda, r-cran-mitools, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-gpabin_1.0.6-1.ca2004.1_all.deb
Size: 431892
MD5sum: b6f71413409769d00958269edfbe9d92
SHA1: 05c9aebe72e7fb7f407a0b52c7a3b2052c8eec16
SHA256: 0dd76b68190c9827f1c5c5e10f96cd68d03c95a8a90d5e7e76b10c9b465e96cb
SHA512: cc93069bba278c0f238ab2aea3205b61dce6c6a72ea05ef611c2e484082dd209e88160f100ab87fb0bcf7d7da3fc02700d007324dda93451ab76222117189283
Homepage: https://cran.r-project.org/package=GPAbin
Description: CRAN Package 'GPAbin' (Unifying Multiple Biplot Visualisations into a Single Display)
 Aligning multiple visualisations by utilising generalised orthogonal
 Procrustes analysis (GPA) before combining coordinates into a single biplot
 display as described in Nienkemper-Swanepoel, le Roux and Lubbe
 (2023)<doi:10.1080/03610918.2021.1914089>. This is mainly suitable to
 combine visualisations constructed from multiple imputations, however, it
 can be generalised to combine variations of visualisations from the same
 datasets (i.e. resamples).

Package: r-cran-gpairs
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-barcode, r-cran-lattice, r-cran-vcd, r-cran-mass, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-gpairs_1.4.0-1.ca2004.1_all.deb
Size: 75472
MD5sum: 3b841d50b247461c7ec27b61c82033de
SHA1: d3ed7798bb8d573a8c58098f147a4eabb6b33857
SHA256: f9ad994f65063864468e157c75950435fcc7bd9d48255f326372b49e680f49d4
SHA512: 5408a3e7ed3c1233974bbc0b9ec1a732eb51c10954e2617d37d991a9ca3db5b7d6d65e2dab12304818882a581094c181478add9cad6aa1188290ad2a4e2acbc0
Homepage: https://cran.r-project.org/package=gpairs
Description: CRAN Package 'gpairs' (The Generalized Pairs Plot)
 Offers a generalization of the scatterplot matrix based on the recognition
 that most datasets include both categorical and quantitative information.
 Traditional grids of scatterplots often obscure important features of the
 data when one or more variables are categorical but coded as numerical. The
 generalized pairs plot offers a range of displays of paired combinations of
 categorical and quantitative variables. Emerson et al. (2013)
 <DOI:10.1080/10618600.2012.694762>.

Package: r-cran-gparotatedf
Architecture: all
Version: 2023.11-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gparotation
Filename: pool/dists/focal/main/r-cran-gparotatedf_2023.11-1-1.ca2004.1_all.deb
Size: 198552
MD5sum: 4ea673994f41dca8462d6559e9051518
SHA1: f24c8abeb8c3d55aeab1defaca3c1bcf8612fac3
SHA256: 107858c2b9cfeb52771e0de797b478a1de79b1272baeb22288084c2c82bc7e3f
SHA512: 469c5e542abea431c0678a62be2e9cdae592d8d210e639a76a41318d770f66bd0a0b5d6b2d345014a82e160e7f66f18575aa9dca888017d71ee270b6be4b2a4e
Homepage: https://cran.r-project.org/package=GPArotateDF
Description: CRAN Package 'GPArotateDF' (Derivative Free Gradient Projection Factor Rotation)
 Derivative Free Gradient Projection Algorithms for Factor Rotation.  For
 more details see ?GPArotateDF. Theory for these functions can be found in
 the following publications: Jennrich (2004) <doi:10.1007/BF02295647>.
 Bernaards and Jennrich (2005) <doi:10.1177/0013164404272507>.

Package: r-cran-gparotation
Architecture: all
Version: 2025.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 643
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gparotation_2025.3-1-1.ca2004.1_all.deb
Size: 584548
MD5sum: 9aa561037936a2c3f63c5353046065d7
SHA1: 5df598e1cfe6acceace74f0b0655ccdf56559a0c
SHA256: 3323482f60ca75d11126425013f997e9c9c779a2837e23bda8632b1ec44c17ed
SHA512: 050fba8152e4056ea89d075490d46c0e889050f80f1cfd468a618e0d27913ba85f3e75d52e22acb7c40ff17ce4d1d02f14438affeff1b149e7f3ba902ef6ef1e
Homepage: https://cran.r-project.org/package=GPArotation
Description: CRAN Package 'GPArotation' (Gradient Projection Factor Rotation)
 Gradient Projection Algorithms for Factor Rotation.  For details see
 ?GPArotation. When using this package, please cite Bernaards and Jennrich
 (2005) <doi:10.1177/0013164404272507> 'Gradient Projection Algorithms and
 Software for Arbitrary Rotation Criteria in Factor Analysis'.

Package: r-cran-gpbstat
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gpbstat_0.4.4-1.ca2004.1_all.deb
Size: 177856
MD5sum: 308ea001395f61fc6b81057b3f5f7bdd
SHA1: 33aca4697ee3423660067a3c4fd7577005fe0473
SHA256: dbf37e2d8705e6415ace37b7143974e7fb823b3f4279d6b940050bd7e0866f58
SHA512: 8e887f6be91462593b9fba8f9a3e78d45b4b83565d1f68d1a4cd501aebb6d5bf4bfe014e881aac4b7797fb4b9b0742e77e22a6d163e0908e6136f609dbf85fc1
Homepage: https://cran.r-project.org/package=gpbStat
Description: CRAN Package 'gpbStat' (Comprehensive Statistical Analysis of Plant Breeding Experiments)
 Performs statistical data analysis of various Plant Breeding experiments.
 Contains functions for Line by Tester analysis as per Arunachalam, V.(1974)
 <http://repository.ias.ac.in/89299/> and Diallel analysis as per Griffing,
 B. (1956) <https://www.publish.csiro.au/bi/pdf/BI9560463>.

Package: r-cran-gpcsign
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dicekriging, r-cran-tmvtnorm, r-cran-truncatednormal, r-cran-future.apply, r-cran-future
Suggests: r-cran-dicedesign, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpcsign_0.1.1-1.ca2004.1_all.deb
Size: 196736
MD5sum: cd4c47876d22b7614cde8344c1b00218
SHA1: 3c8388acf5e2b370dae720322db4062d5a777b52
SHA256: 5e3ce32df26b1f8953cd3ee035da7ac0e48789dcbe35282be68abd5a480a3fad
SHA512: 49bd7661cea1911c0e06941e0f698001de786f01298d228a5145ee98649c0c337cec08a256f83f5d942399d9a871e33acd277873c973e0366c6ec2b73c226585
Homepage: https://cran.r-project.org/package=GPCsign
Description: CRAN Package 'GPCsign' (Gaussian Process Classification as Described in Bachoc et al.(2020))
 Parameter estimation and prediction of Gaussian Process Classifier models as
 described in Bachoc et al. (2020) <doi:10.1007/S10898-020-00920-0>.
 Important functions : gpcm(), predict.gpcm(), update.gpcm().

Package: r-cran-gpdtest
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gpdtest_0.4-1.ca2004.1_all.deb
Size: 24876
MD5sum: 553f42aecfdce4db9f44c2873d90e562
SHA1: b36d7b77c8aa01bce7ed3b946b55f4438d6b0b25
SHA256: ac6120407931f434314bfef04dad4a170c2af9828b780fca1ad8eeab33ee4b63
SHA512: 4e19010c085b8ee61122908b09bbb7df14ed53a5b5f6c165e4f7c9875dd38ad1423695af1d7814ab6d23bc2c1e4b770e18f57ad15d0f9b2b769d63fdf636453b
Homepage: https://cran.r-project.org/package=gPdtest
Description: CRAN Package 'gPdtest' (Bootstrap goodness-of-fit test for the generalized Paretodistribution)
 This package computes the bootstrap goodness-of-fit test for the generalized
 Pareto distribution by Villasenor-Alva and Gonzalez-Estrada (2009). The null
 hypothesis includes heavy and non-heavy tailed gPd's. A function for fitting
 the gPd to data using the parameter estimation methods proposed in the same
 article is also provided.

Package: r-cran-gpemr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1001
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpemr_0.1.0-1.ca2004.1_all.deb
Size: 301564
MD5sum: bfd1e432a3b9a0e2eb05264445ae3f0a
SHA1: e7976bb67a41e031307d9799b53bed9de44f5ca4
SHA256: 40ce5792f555cf48114a96c7015654296c3398afedff608332de9696969dd582
SHA512: 317b952ac80af38be3e91564b01256cda7d7a6f01493e7abfa89c308ebaad3b7c0e47e8fefff01c8fdafb553d90f7a05f107aa3d950e14d658a4f4917519400a
Homepage: https://cran.r-project.org/package=GPEMR
Description: CRAN Package 'GPEMR' (Growth Parameter Estimation Method)
 Provides functions for simulating and estimating parameters of various
 growth models, including Logistic, Exponential, Theta-logistic,
 Von-Bertalanffy, and Gompertz models. The package supports both simulated
 and real data analysis, including parameter estimation, visualization, and
 calculation of global and local estimates. The methods are based on research
 described by Md Aktar Ul Karim and Amiya Ranjan Bhowmick (2022) in
 (<https://www.researchsquare.com/article/rs-2363586/v1>). An interactive web
 application is also available at [GPEMR Web
 App](<https://gpem-r.shinyapps.io/GPEM-R/>).

Package: r-cran-gpfit
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lhs, r-cran-lattice
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpfit_1.0-9-1.ca2004.1_all.deb
Size: 76488
MD5sum: de4b66d2957f0d32d9e374e5aef89a8e
SHA1: 65fc24973412eb820641c438cdba0c1948b972ad
SHA256: dbd1bc8853c3dc0109cdd150c45188347ff1d356eb1b9ceb9358a65a837628a8
SHA512: 6aca0a3fc9f3e7597f133a58c4388838bbe92e6b56630954d935c5aa80f35d257e88a34279a1fa9ff8a3e4d6082e69d6e688177189783d1d354acbb7b601e9b2
Homepage: https://cran.r-project.org/package=GPfit
Description: CRAN Package 'GPfit' (Gaussian Processes Modeling)
 A computationally stable approach of fitting a Gaussian Process (GP) model
 to a deterministic simulator.

Package: r-cran-gpic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gpic_0.1.0-1.ca2004.1_all.deb
Size: 101020
MD5sum: 9a57328682611dc39f9ae1ef99a055a0
SHA1: f368818456992a5266beaa9e6e0cb3bd36200219
SHA256: a281d45d2de39b3fe9d24c0a92adb5c968d35a44ecc8fec5cae738746c96a5c8
SHA512: ee7200ce89da57d86076a4f981111b685b2988c70cd87f66ceae32b100732b01bb4520ea75cdf87be575cc157e37e3eb03fab097dec79f1c02ab1206a02f4c81
Homepage: https://cran.r-project.org/package=GPIC
Description: CRAN Package 'GPIC' (Quantifying Group Performance in Individual Competitions)
 Compute the GPIC index as described in Pham (2020)
 <doi:10.35542/osf.io/ajz5v>.

Package: r-cran-gpindex
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-quarto, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpindex_0.6.3-1.ca2004.1_all.deb
Size: 264836
MD5sum: db245e482723293e747017a3e09af020
SHA1: 8f3cf9f0c9bfe7c571ab7610d6780268be321f27
SHA256: 5b41c6c867ddf442df3a869ef52a4796d746ce4da7052b2daa896ac3f428f761
SHA512: 1a25cc26b5cfe739ba849054ffa59b41830e7b28e59bbc58fbd2fb43a726e77bf0773d94483be8d729949c849282d62fa5d7d89d4294bedab2fc4d976d543aa3
Homepage: https://cran.r-project.org/package=gpindex
Description: CRAN Package 'gpindex' (Generalized Price and Quantity Indexes)
 Tools to build and work with bilateral generalized-mean price indexes (and
 by extension quantity indexes), and indexes composed of generalized-mean
 indexes (e.g., superlative quadratic-mean indexes, GEKS).  Covers the core
 mathematical machinery for making bilateral price indexes, computing price
 relatives, detecting outliers, and decomposing indexes, with wrappers for
 all common (and many uncommon) index-number formulas. Implements and extends
 many of the methods in Balk (2008, <doi:10.1017/CBO9780511720758>), von der
 Lippe (2007, <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,
 <doi:10.5089/9781484354841.069>).

Package: r-cran-gpk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 372
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gpk_1.0-1.ca2004.1_all.deb
Size: 273948
MD5sum: ab17ed51c2fc40db438f999d18e5fe50
SHA1: 23638d4593f28be5e9fd302c82eba2b0b8a68cff
SHA256: 8c580b54a58c8e789e129e5f366ab51f27ead435d12a7528fa61e78bd16d2463
SHA512: a8429f3cbda17e8d7bdb4eeaec503f681b23e4b9feff357338d3cd7db1d49827e47c78dcac551458eab244e1d26cf0bcf6769f2cd190a076b630e823697f581b
Homepage: https://cran.r-project.org/package=gpk
Description: CRAN Package 'gpk' (100 Data Sets for Statistics Education)
 Collection of datasets as prepared by Profs. A.P. Gore, S.A. Paranjape, and
 M.B. Kulkarni of Department of Statistics, Poona University, India. With
 their permission, first letter of their names forms the name of this
 package, the package has been built by me and made available for the benefit
 of R users. This collection requires a rich class of models and can be a
 very useful building block for a beginner.

Package: r-cran-gpkg
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi
Suggests: r-cran-rsqlite, r-cran-terra, r-cran-gdalraster, r-cran-tinytest, r-cran-sf, r-cran-dplyr, r-cran-dbplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gpkg_0.0.12-1.ca2004.1_all.deb
Size: 189520
MD5sum: 2915c293ddf034e2b5a53dcc7ffde822
SHA1: 764fc98278c6ce3af37d6d8171916a111fd09db5
SHA256: 9db095dd1e3fce988bfb89916b272d09383a8f876f9368773bd61e7d9d796116
SHA512: 21421e16d3744c3d6c50b9b69b5b80d1ec9679901cc17d04f9bb9ec639e51f37306ef1edd6c755a766469b41e7d43fd660d573d4001d54f11a0a38a99aea0d36
Homepage: https://cran.r-project.org/package=gpkg
Description: CRAN Package 'gpkg' (Utilities for the Open Geospatial Consortium 'GeoPackage' Format)
 Build Open Geospatial Consortium 'GeoPackage' files
 (<https://www.geopackage.org/>). 'GDAL' utilities for reading and writing
 spatial data are provided by the 'terra' package. Additional 'GeoPackage'
 and 'SQLite' features for attributes and tabular data are implemented with
 the 'RSQLite' package.

Package: r-cran-gpl2025
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-gpl2025_1.0.1-1.ca2004.1_all.deb
Size: 376272
MD5sum: b2a199e068a054c0ce7c88c8f58e24af
SHA1: 0963a93a6948ecb464f6db5e89bfdfda74c686b2
SHA256: 2bc0145b6d0f7583ae96b43a7d04593452fc30d5534392f601f4d0c50712d5db
SHA512: 3fad26d40d4de93f56b4dfc007e10db1e49c1066d209dc9c5f7396e4ca1d982beccedfea376bf2b08448b478a268923e1049e5d76de9d96112f6bc8066a8d170
Homepage: https://cran.r-project.org/package=GPL2025
Description: CRAN Package 'GPL2025' (Convert Chip ID of the GPL2015 into GeneBank Accession andENTREZID)
 Convert the chip ID of GPL2025
 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL2025> to GeneBank
 Accession and ENTREZID <http://www.ncbi.nlm.nih.gov/gene>.

Package: r-cran-gplots
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools, r-cran-catools, r-cran-kernsmooth
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-r2d2, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-gplots_3.2.0-1.ca2004.1_all.deb
Size: 479516
MD5sum: d19466366954a63eab6d2de7caabc312
SHA1: 3f45dd10c75f8333ccae5ba01c171699bcf3cb46
SHA256: ab84a2c83cee6c2f9a62729b8af35d8aa6013dc08c409653e732e49f201880d3
SHA512: 78331af3a588eaf7a8b3029390f14ddf7ef7bd2f90eebae10df922035cbc7f6d672130d8d138f410aba497cb29a7c283ea42377b976f78cdf1966f182c43b544
Homepage: https://cran.r-project.org/package=gplots
Description: CRAN Package 'gplots' (Various R Programming Tools for Plotting Data)
 Various R programming tools for plotting data, including: - calculating and
 plotting locally smoothed summary function as ('bandplot', 'wapply'), -
 enhanced versions of standard plots ('barplot2', 'boxplot2', 'heatmap.2',
 'smartlegend'), - manipulating colors ('col2hex', 'colorpanel', 'redgreen',
 'greenred', 'bluered', 'redblue', 'rich.colors'), - calculating and plotting
 two-dimensional data summaries ('ci2d', 'hist2d'), - enhanced regression
 diagnostic plots ('lmplot2', 'residplot'), - formula-enabled interface to
 'stats::lowess' function ('lowess'), - displaying textual data in plots
 ('textplot', 'sinkplot'), - plotting dots whose size reflects the relative
 magnitude of the elements ('balloonplot', 'bubbleplot'), - plotting "Venn"
 diagrams ('venn'), - displaying Open-Office style plots ('ooplot'), -
 plotting multiple data on same region, with separate axes ('overplot'), -
 plotting means and confidence intervals ('plotCI', 'plotmeans'), - spacing
 points in an x-y plot so they don't overlap ('space').

Package: r-cran-gplsim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mgcv, r-cran-minpack.lm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gplsim_1.0.0-1.ca2004.1_all.deb
Size: 64012
MD5sum: 0e144cad8d31e4a4e70db35b2369fbee
SHA1: 5fc96237871dfbe678b27afcedf88fff127a9924
SHA256: bbf7afd39fd571cdd74a85c432c829d44d533312a26d160341e3dab3caf9b184
SHA512: d68f14892d129da36b1b446a25957711139ec03ce2e3fa83fedefeac74a8e8376748443ebc3eb5b5e17039f7675af66874e06cc0f8467cf469143f8ca45a2202
Homepage: https://cran.r-project.org/package=gplsim
Description: CRAN Package 'gplsim' (Spline Estimation for GPLSIM)
 We provides functions that employ splines to estimate generalized partially
 linear single index models (GPLSIM), which extend the generalized linear
 models to include nonlinear effect for some predictors. Please see Y. (2017)
 at <doi:10.1007/s11222-016-9639-0> and Y., and R. (2002) at
 <doi:10.1198/016214502388618861> for more details.

Package: r-cran-gpltr
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gpltr_1.5-1.ca2004.1_all.deb
Size: 523060
MD5sum: c6251a5465efb72f0e8c77342048fc6c
SHA1: a97545201d02224fd8604dae2a833285c33f9134
SHA256: 15e1d99f946090e3f737a3395ff3eada04685f5c376a3e274613f52b3b1aa3f5
SHA512: aa7ecc5971c7a87f3035e2e61de42f4f168d79f81f8720bf5d9583fb0054bc1fc2379b9e0d827bc4d5a7fc578c33988aea70e3de014b603c5f9b45875dc2be62
Homepage: https://cran.r-project.org/package=GPLTR
Description: CRAN Package 'GPLTR' (Generalized Partially Linear Tree-Based Regression Model)
 Combining a generalized linear model with an additional tree part on the
 same scale. A four-step procedure is proposed to fit the model and test the
 joint effect of the selected tree part while adjusting on confounding
 factors.  We also proposed an ensemble procedure based on the bagging to
 improve prediction accuracy and computed several scores of importance for
 variable selection.  See 'Cyprien Mbogning et
 al.'(2014)<doi:10.1186/2043-9113-4-6> and 'Cyprien Mbogning et
 al.'(2015)<doi:10.1159/000380850> for an overview of all the methods
 implemented in this package.

Package: r-cran-gpmap
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-isotone, r-cran-plyr, r-cran-ggplot2, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-gpmap_0.1.2-1.ca2004.1_all.deb
Size: 69132
MD5sum: c8c911d64740f19637bf8454935623ae
SHA1: 17642d2921413485b06a9b55cb1c4f3060970d87
SHA256: daaae620512e7bea11f7d59d055ff21671e65e1d3f9d4860a6bc32fc953023bf
SHA512: b135d7fb1be347df0926d994923aeb04fd7a28499b08bbddd5ec4cb2c102ca520b34d6d6e93de2670c5bdcfdfedc0ce6ba02fcc75ed1fc40ceefcadfeeddd6fc
Homepage: https://cran.r-project.org/package=gpmap
Description: CRAN Package 'gpmap' (Analysing and Plotting Genotype-Phenotype Maps)
 Tools for studying genotype-phenotype maps for bi-allelic loci underlying
 quantitative phenotypes. The 0.1 version is released in connection with the
 publication of Gjuvsland et al (2013) and implements basic line plots and
 the monotonicity measures for GP maps presented in the paper. Reference:
 Gjuvsland AB, Wang Y, Plahte E and Omholt SW (2013) Monotonicity is a key
 feature of genotype-phenotype maps. Frontier in Genetics 4:216
 <doi:10.3389/fgene.2013.00216>.

Package: r-cran-gpom.fdlyapu
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gpom, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgl, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-gpom.fdlyapu_1.0-1.ca2004.1_all.deb
Size: 3737432
MD5sum: fd52a20d0b3909187805b4a85f85aa74
SHA1: 26bd587c8a953c15a5e969c8bd42ca9a051b09b6
SHA256: 5e08e5eba3f756f786c2c05de8a61f28bb4c46b49c8216fe3e37f004759175aa
SHA512: 301a06ca2b94a233d4f312be73eae526fd79141a5e21276d7b3514a1f5c9de8558d75e1e54c4e56e060946b7021efd0c9e631860f1b8fad6f661ea1f883faa90
Homepage: https://cran.r-project.org/package=GPoM.FDLyapu
Description: CRAN Package 'GPoM.FDLyapu' (Lyapunov Exponents and Kaplan-Yorke Dimension)
 Estimation of the spectrum of Lyapunov Exponents and the Kaplan-Yorke
 dimension of any low-dimensional model of polynomial form.  It can be
 applied, for example, to systems such as the chaotic Lorenz-1963 system or
 the hyperchaotic Rossler-1979 system.  It can also be applied to dynamical
 models in Ordinary Differential Equations (ODEs) directly obtained from
 observational time series using the 'GPoM' package.  The approach used is
 semi-formal, the Jacobian matrix being estimated automatically from the
 polynomial equations.  Two methods are made available; one introduced by
 Wolf et al.  (1985) <doi:10.1016/0167-2789(85)90011-9> and the other one
 introduced by Grond et al. (2003) <doi:10.1016/S0960-0779(02)00479-4>.  The
 package is provided with an interface for a more intuitive usage, it can
 also be run without the interface.  This platform is developed at the Centre
 d'Etudes Spatiales de la Biosphere (CESBIO), UMR 5126 UPS/CNRS/CNES/IRD, 18
 av. Edouard Belin, 31401 TOULOUSE, FRANCE.  The developments were funded by
 the French program Les Enveloppes Fluides et l'Environnement (LEFE, MANU,
 projects GloMo, SpatioGloMo and MoMu). The French programs Defi InFiNiTi
 (CNRS) and PNTS (CNRS) are also acknowledged (projects Crops'I Chaos and
 Musc & SlowFast).

Package: r-cran-gpom
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5278
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desolve, r-cran-rgl, r-cran-float
Suggests: r-cran-signal, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gpom_1.4-1.ca2004.1_all.deb
Size: 4756996
MD5sum: 86816425dab7e77c3a0b3f665152e14e
SHA1: ab2cfdcce2d2b5db96c1ac9c3f7e881b97e2e5c1
SHA256: 10b1bcd30ce91f5416b9ad789bbd936f215d5df59bb2cada807e03fbf030edc7
SHA512: 4727c79386db225a10d79d06286962f19d4cae94ac69973d772aeec0b5b4ec19163bcda420e61e46b587b67c62a76b008f399d0601a94da11693efac253e95f6
Homepage: https://cran.r-project.org/package=GPoM
Description: CRAN Package 'GPoM' (Generalized Polynomial Modelling)
 Platform dedicated to the Global Modelling technique. Its aim is to obtain
 ordinary differential equations of polynomial form directly from time
 series. It can be applied to single or multiple time series under various
 conditions of noise, time series lengths, sampling, etc. This platform is
 developped at the Centre d'Etudes Spatiales de la Biosphere (CESBIO), UMR
 5126 UPS/CNRS/CNES/IRD, 18 av. Edouard Belin, 31401 TOULOUSE, FRANCE.  The
 developments were funded by the French program Les Enveloppes Fluides et
 l'Environnement (LEFE, MANU, projets GloMo, SpatioGloMo and MoMu). The
 French program Defi InFiNiTi (CNRS) and PNTS are also acknowledged (projects
 Crops'IChaos and Musc & SlowFast). The method is described in the article :
 Mangiarotti S. and Huc M. (2019) <doi:10.1063/1.5081448>.

Package: r-cran-gpp
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-gpp_0.1-1.ca2004.1_all.deb
Size: 76016
MD5sum: 320b0fa3e6bad93fe81feda82be3707b
SHA1: 401b84dc7d7ac9df0a9ded73ab80bd0dbde172c7
SHA256: 720892c2615d2bba9aa856de7a094ce9b74a0fd53ead0811d156b276649f6052
SHA512: cad71b056c3e1f19767bc63d40c852dd19c6b8a77d1e8dda5cf000c9e3fc83cae68e25a62eee66aa3fc28540103a1ccc2be686a23d8d2196f1c2a4524fcc10e9
Homepage: https://cran.r-project.org/package=GPP
Description: CRAN Package 'GPP' (Gaussian Process Projection)
 Estimates a counterfactual using Gaussian process projection. It takes a
 dataframe, creates missingness in the desired outcome variable and estimates
 counterfactual values based on all information in the dataframe. The package
 writes Stan code, checks it for convergence and adds artificial noise to
 prevent overfitting and returns a plot of actual values and estimated
 counterfactual values using r-base plot.

Package: r-cran-gppm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-rstan, r-cran-ggplot2, r-cran-mass, r-cran-ggthemes, r-cran-mvtnorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-gppm_0.2.0-1.ca2004.1_all.deb
Size: 189908
MD5sum: 542d96d0cfe0cad7d937ba5274d1ec90
SHA1: 9d5044c717d40d18e05e5e6e5718adccb7215208
SHA256: 1d8d72698fe7039fd7a0de4194ea40c6787e113f7e7a7b7433dd52bbe36b056b
SHA512: 9bf4bcb829026fc1a7aa46c35ce680c87b5a92a5e57b15ae5178b587627f1aa2e215080ec50fd4e1494dd0fa068b494b871257ced757c177e0f7181a9c06a1a7
Homepage: https://cran.r-project.org/package=gppm
Description: CRAN Package 'gppm' (Gaussian Process Panel Modeling)
 Provides an implementation of Gaussian process panel modeling (GPPM).  GPPM
 is described in Karch (2016; <DOI:10.18452/17641>) and Karch, Brandmaier &
 Voelkle (2018; <DOI:10.17605/OSF.IO/KVW5Y>).  Essentially, GPPM is Gaussian
 process based modeling of longitudinal panel data.  'gppm' also supports
 regular Gaussian process regression (with a focus on flexible model
 specification), and multi-task learning.

Package: r-cran-gprmortality
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-gprmortality_0.1.0-1.ca2004.1_all.deb
Size: 506924
MD5sum: a5d1788617a3940118998d92b918a429
SHA1: ed301d35885c57443fe3730390af60bfe47dd8a9
SHA256: baae76e48049225cd2d2a2f0e39d2f46164e206b995650373060127e7b377520
SHA512: 2bb139a0a7d3047006a42f4a1a4ac7a9ae686b3d9ed92b84c1aa54ef3ff3fccf68b526d06f3bad16b3ffe265b3ea84e5a6c8aa0c847025f5c9b5e9bca59dd3ed
Homepage: https://cran.r-project.org/package=GPRMortality
Description: CRAN Package 'GPRMortality' (Gaussian Process Regression for Mortality Rates)
 A Bayesian statistical model for estimating child (under-five age group) and
 adult (15-60 age group) mortality.  The main challenge is how to combine and
 integrate these different time series and how to produce unified estimates
 of mortality rates during a specified time span. GPR is a Bayesian
 statistical model for estimating child and adult mortality rates which its
 data likelihood is mortality rates from different data sources such as:
 Death Registration System, Censuses or surveys. There are also various
 hyper-parameters for completeness of DRS, mean, covariance functions and
 variances as priors. This function produces estimations and uncertainty (95%
 or any desirable percentiles) based on sampling and non-sampling errors due
 to variation in data sources. The GP model utilizes Bayesian inference to
 update predicted mortality rates as a posterior in Bayes rule by combining
 data and a prior probability distribution over parameters in mean,
 covariance function, and the regression model. This package uses Markov
 Chain Monte Carlo (MCMC) to sample from posterior probability distribution
 by 'rstan' package in R. Details are given in Wang H, Dwyer-Lindgren L,
 Lofgren KT, et al. (2012) <doi:10.1016/S0140-6736(12)61719-X>, Wang H,
 Liddell CA, Coates MM, et al. (2014) <doi:10.1016/S0140-6736(14)60497-9> and
 Mohammadi, Parsaeian, Mehdipour et al. (2017)
 <doi:10.1016/S2214-109X(17)30105-5>.

Package: r-cran-gprofiler2
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4500
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-rcurl, r-cran-ggplot2, r-cran-plotly, r-cran-tidyr, r-cran-crosstalk, r-cran-gridextra, r-cran-viridislite, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-gprofiler2_0.2.3-1.ca2004.1_all.deb
Size: 1257660
MD5sum: bfa226036967db66be5f9f8547cde15e
SHA1: 7c59b9dc91fc5f3b70d33957b0b106366f060364
SHA256: 530560712747cb7613e0bbb962eac51bb054f48affe61ab4c4641498d7f9ac92
SHA512: 11d836df1c034ec5540a9ee4d82e9f07b3c4e7b56afbe8d404b872b44b250b898b319ca77db3004f9b5bad60fbbcff681cfe37b4f9a474d6a70c6025876e79ed
Homepage: https://cran.r-project.org/package=gprofiler2
Description: CRAN Package 'gprofiler2' (Interface to the 'g:Profiler' Toolset)
 A toolset for functional enrichment analysis and visualization,
 gene/protein/SNP identifier conversion and mapping orthologous genes across
 species via 'g:Profiler' (<https://biit.cs.ut.ee/gprofiler/>).  The main
 tools are: (1) 'g:GOSt' - functional enrichment analysis and visualization
 of gene lists; (2) 'g:Convert' - gene/protein/transcript identifier
 conversion across various namespaces; (3) 'g:Orth' - orthology search across
 species; (4) 'g:SNPense' - mapping SNP rs identifiers to chromosome
 positions, genes and variant effects.  This package is an R interface
 corresponding to the 2019 update of 'g:Profiler' and provides access to
 'g:Profiler' for versions 'e94_eg41_p11' and higher. See the package
 'gProfileR' for accessing older versions from the 'g:Profiler' toolset.

Package: r-cran-gprofiler
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-gprofiler_0.7.0-1.ca2004.1_all.deb
Size: 41168
MD5sum: 73ce59e1958a28322443d992bf14a53a
SHA1: 21b8d46d65c07b8e9ca8030cbeb93bafd0e8a76b
SHA256: 9a7e86dea6663fa226cc1bad0053c25c4b7483a07909ac3bb2a6f601b7ff934a
SHA512: d8eb06e5bc2f529965f695c0bf4886b4eb59c1bcb6d09eeca9904c0873c8fd958bb18613eb48fa45e6009579ee8464735a265f7dda555fc7a5dd5013e33f11f4
Homepage: https://cran.r-project.org/package=gProfileR
Description: CRAN Package 'gProfileR' (Interface to the 'g:Profiler' Toolkit)
 This package has been deprecated and will not be updated.  New users should
 use the package 'gprofiler2'
 (<https://CRAN.R-project.org/package=gprofiler2>) for up-to-date data and
 improved functionality.  Functional enrichment analysis, gene identifier
 conversion and mapping homologous genes across related organisms via the
 'g:Profiler' toolkit (<https://biit.cs.ut.ee/gprofiler/>).

Package: r-cran-gps.track
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nngeo, r-cran-raster, r-cran-sp, r-cran-sf
Filename: pool/dists/focal/main/r-cran-gps.track_1.0.0-1.ca2004.1_all.deb
Size: 49248
MD5sum: 8a522c6251e644dff2a98211d70104f5
SHA1: 1e658ff390df16317df85018d14b15d664613cba
SHA256: 5fb918114e71c43e85e5c6a881e0c08a9dbdd6b0dcd7197cce1d1c860e3ca6a7
SHA512: 59df9f05247a14953adc900e7be0960e3ee44bbebc36897cc2958bade23711f5ac509662ed9e05278e0a1dcc3d8a790975ea5f651a9f62e08fe3c50c4ec5f943
Homepage: https://cran.r-project.org/package=gps.track
Description: CRAN Package 'gps.track' (GPS Track Point Information Extractor)
 Focused on extracting important data from track points such as speed,
 distance, elevation difference and azimuth.(PLAZA, J. et al., 2022)
 <doi:10.1016/j.applanim.2022.105643>.

Package: r-cran-gpscdf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nbpmatching, r-cran-nnet, r-cran-mass, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpscdf_0.1.1-1.ca2004.1_all.deb
Size: 26168
MD5sum: 8b08344760aebaa7b66ea2a307d98da7
SHA1: a110031021c410a8d64c848233ac280713c2404a
SHA256: 7fa00a4f07eaac1e9fd2ca64614065ea79b8aa2dfbd934726f0c9a60133bb344
SHA512: 1d161bf47d6ffa28acbd75d30d468ced67156779f9dcc1a729f48a5ba9e8919970f1f113b08f880e17dae70a13d9b050d3073d592baeab0c2140c117d8794591
Homepage: https://cran.r-project.org/package=GPSCDF
Description: CRAN Package 'GPSCDF' (Generalized Propensity Score Cumulative Distribution Function)
 Implements the generalized propensity score cumulative distribution function
 proposed by Greene (2017)
 <https://digitalcommons.library.tmc.edu/dissertations/AAI10681743/>.  A
 single scalar balancing score is calculated for any generalized propensity
 score vector with three or more treatments. This balancing score is used for
 propensity score matching and stratification in outcome analyses when
 analyzing either ordinal or multinomial treatments.

Package: r-cran-gpseqclus
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geosphere, r-cran-htmlwidgets, r-cran-leaflet, r-cran-leaflet.extras, r-cran-plyr, r-cran-purrr, r-cran-sp, r-cran-sf, r-cran-suncalc
Filename: pool/dists/focal/main/r-cran-gpseqclus_1.4.0-1.ca2004.1_all.deb
Size: 99644
MD5sum: 52baf6d6712c9bbaf8db32a3f60286d8
SHA1: 13a44813756ee56616a0326f640206257e938fc6
SHA256: 8a0c535aba1dddaa4ce59dca8621f445b06e5b4bfbd56267430769b01f5ff67c
SHA512: 45e1d1278140ede322372e797b8fe8d45a698bd2cee3cf8368d3cf7cb18ea3247be4d5e3fd18ae846ccdefccce06cc473ced0c9876ac0bcee01e95c20d521dec
Homepage: https://cran.r-project.org/package=GPSeqClus
Description: CRAN Package 'GPSeqClus' (Sequential Clustering Algorithm for Location Data)
 Applies sequential clustering algorithm to animal location data based on
 user-defined parameters. Plots interactive cluster maps and provides a
 summary dataframe with attributes for each cluster commonly used as
 covariates in subsequent modeling efforts. Additional functions provide
 individual keyhole markup language plots for quick assessment, and export of
 global positioning system exchange format files for navigation purposes.
 Methods can be found at <doi:10.1111/2041-210X.13572>.

Package: r-cran-gptk
Architecture: all
Version: 1.08-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-fields
Suggests: r-cran-spam
Filename: pool/dists/focal/main/r-cran-gptk_1.08-1.ca2004.1_all.deb
Size: 374568
MD5sum: c5d8b4c0e98c9be2e47f7dab6fb44676
SHA1: 14c81b7e17e90b89fe965c262fa61db33449b2a8
SHA256: 0c5beb275c07ea27dbd043d2c82e80c74ecf3e7afc723aa3deaefe4731c1f4a0
SHA512: 0c576c49ec5707bfe9a756186b0434fabe7fdfb20bc0bb5fe52d6643a2a15277df36d5d85af056791e4b482251d40151d66abb24fd8aef9dff86a28055826a94
Homepage: https://cran.r-project.org/package=gptk
Description: CRAN Package 'gptk' (Gaussian Processes Tool-Kit)
 The gptk package implements a general-purpose toolkit for Gaussian process
 regression with a variety of covariance functions (e.g. RBF, Mattern,
 polynomial, etc).  Based on a MATLAB implementation by Neil D. Lawrence. See
 inst/doc/index.html for more details.

Package: r-cran-gptoolsstan
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gptoolsstan_1.0.0-1.ca2004.1_all.deb
Size: 36128
MD5sum: e7738cee141e6190c15468b1885e6c5c
SHA1: be52c2d84cfe09c17c9bd2c0a745aaf30c9b33cd
SHA256: e13a39ad75fa413aef51f5e29576636d4ac08ca75ab9688b124d2e36bbb53cfe
SHA512: a6ad63c3fe3a67225030176a7da9776f5c7b29248cc672b2889ccbc5ac91a70d24fba680a145cad90582fb4d16d2d0aa3e1f2ddce1aad841c19cae9b871d479b
Homepage: https://cran.r-project.org/package=gptoolsStan
Description: CRAN Package 'gptoolsStan' (Gaussian Processes on Graphs and Lattices in 'Stan')
 Gaussian processes are flexible distributions to model functional data.
 Whilst theoretically appealing, they are computationally cumbersome except
 for small datasets.  This package implements two methods for scaling
 Gaussian process inference in 'Stan'. First, a sparse approximation of the
 likelihood that is generally applicable and, second, an exact method for
 regularly spaced data modeled by stationary kernels using fast Fourier
 methods. Utility functions are provided to compile and fit 'Stan' models
 using the 'cmdstanr' interface.  References: Hoffmann and Onnela (2025)
 <doi:10.18637/jss.v112.i02>.

Package: r-cran-gptr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-gptr_0.7.0-1.ca2004.1_all.deb
Size: 14148
MD5sum: 19696149cd23ad5c32c10d2a34d1c69a
SHA1: e1c60d467237c46443b6fb588077cc5e02aac76a
SHA256: dab770ae36c967707e69ef6f9a125ff6f3eb0ea8422bbaca173bb8a11e842630
SHA512: 90b3b8e60eabcb46a4873b8efe3539d1415d373a33b366e2f7cdfd8c701ab8cc54dfbb2c5e618a6ff78642ecbf1b9063b97a873c9341cf99cc59b7520f3bfe1c
Homepage: https://cran.r-project.org/package=gptr
Description: CRAN Package 'gptr' (A Convenient R Interface with the OpenAI 'ChatGPT' API)
 A convenient interface with the OpenAI 'ChatGPT' API
 <https://openai.com/api>. 'gptr' allows you to interact with 'ChatGPT', a
 powerful language model, for various natural language processing tasks. The
 'gptr' R package makes talking to 'ChatGPT' in R super easy. It helps
 researchers and data folks by simplifying the complicated stuff, like asking
 questions and getting answers. With 'gptr', you can use 'ChatGPT' in R
 without any hassle, making it simpler for everyone to do cool things with
 language!

Package: r-cran-gptreeo
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-hash, r-cran-dicekriging, r-cran-mlegp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gptreeo_1.0.1-1.ca2004.1_all.deb
Size: 473088
MD5sum: e6c041874a35a5c552a267009d66c7c8
SHA1: dcccdfe7069bd92b7f093cb85ee827a0f2e8b496
SHA256: 24c8830088379612f9ce2c246f269a74dc8f42e6bf0f3575092aea7d95985612
SHA512: a346552df3395a0d607fdb1256dbc54929550e629cf64d0079a142cee54927ab22c9f66ac202fc98346623d4572b1e76f62388a526299ee87eac349940e390f5
Homepage: https://cran.r-project.org/package=GPTreeO
Description: CRAN Package 'GPTreeO' (Dividing Local Gaussian Processes for Online Learning Regression)
 We implement and extend the Dividing Local Gaussian Process algorithm by
 Lederer et al. (2020) <doi:10.48550/arXiv.2006.09446>. Its main use case is
 in online learning where it is used to train a network of local GPs
 (referred to as tree) by cleverly partitioning the input space.  In contrast
 to a single GP, 'GPTreeO' is able to deal with larger amounts of data. The
 package includes methods to create the tree and set its parameter,
 incorporating data points from a data stream as well as making joint
 predictions based on all relevant local GPs.

Package: r-cran-gptstudio
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 889
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-bslib, r-cran-cli, r-cran-colorspace, r-cran-curl, r-cran-fontawesome, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httr2, r-cran-ids, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-rstudioapi, r-cran-rvest, r-cran-shiny, r-cran-shiny.i18n, r-cran-sseparser, r-cran-stringr, r-cran-waiter, r-cran-yaml
Suggests: r-cran-azurermr, r-cran-knitr, r-cran-mockr, r-cran-rmarkdown, r-cran-shinytest2, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gptstudio_0.4.0-1.ca2004.1_all.deb
Size: 630320
MD5sum: 2859dd4193a8982c962a536a01776b6b
SHA1: d84dcdc8aa7022e16e615648ec8f0ebd879341be
SHA256: 3e4ebb4a4dc344ac4bb817aca03cc3b06da5bba170ab0fd87696ff3a97292b56
SHA512: 15b041814c39a7575b549eb43e27fa492afc677d9e20b33fc5b22d431897fb69ebd1a7a8d04d5c94a1a3695a7d9594e431b17d33441379644c0ceab4d98b8c2c
Homepage: https://cran.r-project.org/package=gptstudio
Description: CRAN Package 'gptstudio' (Use Large Language Models Directly in your DevelopmentEnvironment)
 Large language models are readily accessible via API. This package lowers
 the barrier to use the API inside of your development environment.  For more
 on the API, see <https://platform.openai.com/docs/introduction>.

Package: r-cran-gptzeror
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-lifecycle, r-cran-tidyr
Suggests: r-cran-httptest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gptzeror_0.0.1-1.ca2004.1_all.deb
Size: 44416
MD5sum: c931db8dff9e38a80872ad172764f05d
SHA1: 91add83e8f86c7b8fbdfb7efc5761acd4245cdaf
SHA256: 49141eaf334555513b4a11ceabb51ac2c6a7f56b210e606f419f76ce41ef38b4
SHA512: 04403125a90000d85df9acba25ae017fd647e49218fe191348ead4cc87dff056f5e1a77651f58e97158e44ec020debb95e0134354d8826410173551e0e6a2ee7
Homepage: https://cran.r-project.org/package=gptzeror
Description: CRAN Package 'gptzeror' (Identify Text Written by Large Language Models using 'GPTZero')
 An R interface to the 'GPTZero' API (<https://gptzero.me/docs>). Allows
 users to classify text into human and computer written with probabilities.
 Formats the data into data frames where each sentence is an observation.
 Paragraph-level and document-level predictions are organized to align with
 the sentences.

Package: r-cran-gpumatrix
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3843
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-torch, r-cran-tensorflow, r-cran-matrix, r-cran-matrixstats, r-cran-float, r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gpumatrix_1.0.2-1.ca2004.1_all.deb
Size: 2678344
MD5sum: 887878def6bfb827ddc7cd600733276f
SHA1: 757b3f7772f4971489046b87487025aee2ca324d
SHA256: 237d8f463cb854c16748c9dade82ff981551904687aa4c45ccc989e280ceadf0
SHA512: d63298e6f330045db94715dc2c744d8a925c50a1d3f552995f2f53bf34f320762bf4624463497eacdfa9fe9d89d40cfae0191eba95a340f4b715e377ff10965f
Homepage: https://cran.r-project.org/package=GPUmatrix
Description: CRAN Package 'GPUmatrix' (Basic Linear Algebra with GPU)
 GPUs are great resources for data analysis, especially in statistics and
 linear algebra. Unfortunately, very few packages connect R to the GPU, and
 none of them are transparent enough to run the computations on the GPU
 without substantial changes to the code. The maintenance of these packages
 is cumbersome: several of the earlier attempts have been removed from their
 respective repositories. It would be desirable to have a properly maintained
 R package that takes advantage of the GPU with minimal changes to the
 existing code. We have developed the GPUmatrix package (available on CRAN).
 GPUmatrix mimics the behavior of the Matrix package and extends R to use the
 GPU for computations. It includes single(FP32) and double(FP64) precision
 data types, and provides support for sparse matrices. It is easy to learn,
 and requires very few code changes to perform the operations on the GPU.
 GPUmatrix relies on either the Torch or Tensorflow R packages to perform the
 GPU operations. We have demonstrated its usefulness for several statistical
 applications and machine learning applications: non-negative matrix
 factorization, logistic regression and general linear models. We have also
 included a comparison of GPU and CPU performance on different matrix
 operations.

Package: r-cran-gpx
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gpx_1.1.0-1.ca2004.1_all.deb
Size: 16920
MD5sum: 669dc3d8ce05e10a21417e91bc84bede
SHA1: 8ea1bb0b9de65db39343ab4afd35c4cf37e62c1f
SHA256: 5e6b0afaed45422e184ae6604fbc73666f59f426f241746f490022d2e4eba41e
SHA512: 77fbfaacc29e04436161467655ee3aa5e58882dda7809caa6d6d8037c156db628d3484c82da2a2e2c615cbbeca85cc794353740e0de47d7bfc2392426d524a4c
Homepage: https://cran.r-project.org/package=gpx
Description: CRAN Package 'gpx' (Process GPX Files into R Data Structures)
 Process open standard GPX files into data.frames for further use and
 analysis in R.

Package: r-cran-gqlr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-graphql, r-cran-magrittr, r-cran-pryr, r-cran-r6, r-cran-jsonlite
Suggests: r-cran-plumber, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gqlr_0.0.2-1.ca2004.1_all.deb
Size: 208860
MD5sum: 7207095b1c950238f6d00d26d54fc265
SHA1: 6469eb200206f7cb7cf92a3462f5eabfca49218a
SHA256: a630d51ba83cf8f20ebc82673cde50769e6627e2f0f3c88976fe17438d1adb2e
SHA512: 98c7508648085c4f1f80863df5d847ec0e4693a3d79eb6c1dda510764f49c94761808b41ff498f3962ab6fe06ed2be952a4ba8f89bbb3a4f6813cbafe5ad53e2
Homepage: https://cran.r-project.org/package=gqlr
Description: CRAN Package 'gqlr' ('GraphQL' Server in R)
 Server implementation of 'GraphQL' <http://graphql.github.io/graphql-spec/>,
 a query language originally created by Facebook for describing data
 requirements on complex application data models.  Visit <http://graphql.org>
 to learn more about 'GraphQL'.

Package: r-cran-gquad
Architecture: all
Version: 2.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gquad_2.1-2-1.ca2004.1_all.deb
Size: 287852
MD5sum: 96daac0c96ec5a718977d61e23d6ea4a
SHA1: 3cbea6cf63ac37f42099da3b0c51d4b1324ecea4
SHA256: fd63ee1f2cf2d47a91b59e1541516c0402a92469b0769c29a6ca9403bbdd2a60
SHA512: 552a4b9348261bc99d7b09cccdce3d156ce8d60727fb1b58f7c54a21d8f0e4c113c1f805b48ef97043a5d9497cca125d84bcbc4d7cf4d15da79661d1c26b66c2
Homepage: https://cran.r-project.org/package=gquad
Description: CRAN Package 'gquad' (Prediction of G Quadruplexes and Other Non-B DNA Motifs)
 Genomic biology is not limited to the confines of the canonical B-forming
 DNA duplex, but includes over ten different types of other secondary
 structures that are collectively termed non-B DNA structures. Of these non-B
 DNA structures, the G-quadruplexes are highly stable four-stranded
 structures that are recognized by distinct subsets of nuclear factors. This
 package provide functions for predicting intramolecular G quadruplexes. In
 addition, functions for predicting other intramolecular nonB DNA structures
 are included.

Package: r-cran-grabsampling
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-extradistr, r-cran-ggplot2, r-cran-ggthemes, r-cran-plyr, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grabsampling_1.0.0-1.ca2004.1_all.deb
Size: 65096
MD5sum: 40a06ff261092b0a51df6fc9e87a3000
SHA1: f23fba874c6f8cac48c21306a9cfbdded3493b1e
SHA256: 477505066a991abb421bc8b3146efbcf5d3ac3d28c8488e5f5b5aba8ca363a3f
SHA512: aa37cdc79d078cea050502f03b900049930cf8d583826ade31919f3fbae787afa28484b758b048057cd29c00576ef41e64b2ebfd1b61100769d8c1af00653d02
Homepage: https://cran.r-project.org/package=grabsampling
Description: CRAN Package 'grabsampling' (Probability of Detection for Grab Sample Selection)
 Functions for obtaining the probability of detection, for grab samples
 selection by using two different methods such as systematic or random based
 on two-state Markov chain model. For detection probability calculation, we
 used results from Bhat, U. and Lal, R. (1988) <doi:10.2307/1427041>.

Package: r-cran-grabsvg
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-bioc-sparsematrixstats, r-cran-fitdistrplus, r-cran-rann, r-cran-spam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grabsvg_0.0.2-1.ca2004.1_all.deb
Size: 99772
MD5sum: c961b1da5b9e54f67b58621343d4e73a
SHA1: ec4fe091d54099164f11de4f571bea9a25faacb2
SHA256: ee65fa495e11baa65133d9ab7b8e76bed7f8d9a0d26c531b84307b4c1115be6d
SHA512: bdf4ef1c76a33d925b6a6b53e1b68c28abdee4e83cf8c1893facc9d96d1bbcff46ccd954e6db26f36264f988d30633830f65fa1fd1c0627526a2b595f4d92e34
Homepage: https://cran.r-project.org/package=GrabSVG
Description: CRAN Package 'GrabSVG' (Granularity-Based Spatially Variable Genes Identifications)
 Identifying spatially variable genes is critical in linking molecular cell
 functions with tissue phenotypes. This package implemented a
 granularity-based dimension-agnostic tool for the identification of
 spatially variable genes. The detailed description of this method is
 available at Wang, J. and Li, J. et al. 2023 (Wang, J. and Li, J. (2023),
 <doi:10.1038/s41467-023-43256-5>).

Package: r-cran-grace
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-scalreg
Filename: pool/dists/focal/main/r-cran-grace_0.5.3-1.ca2004.1_all.deb
Size: 42384
MD5sum: 86ab9fbda6582a03f8dadd396cc9b2fd
SHA1: 9ca91fb1489e90a98707cc8f48d4afcfd1c4d27d
SHA256: 3de81f7713f66ed6082499f9a8cb3917fcdddcc7f2f9cfedd3af63767cd65827
SHA512: 9fdeab571ec7c259aa6642f318daa28ee2e76d7a621ecd8f95248bf03af196f5dbdbdedca28bba8a4e8d7fb142c057052bc81ff2d7330eaadaa2ee63f1090549
Homepage: https://cran.r-project.org/package=Grace
Description: CRAN Package 'Grace' (Graph-Constrained Estimation and Hypothesis Tests)
 Use the graph-constrained estimation (Grace) procedure (Zhao and Shojaie,
 2016 <doi:10.1111/biom.12418>) to estimate graph-guided linear regression
 coefficients and use the Grace/GraceI/GraceR tests to perform graph-guided
 hypothesis tests on the association between the response and the predictors.

Package: r-cran-graddescent
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-graddescent_3.0-1.ca2004.1_all.deb
Size: 145436
MD5sum: 63f41365edffb4db2f4cae433c15a99a
SHA1: f263c07ee8071fe90fb82dbc28eb0654c590d0dc
SHA256: d08cebd88891f55a2d88772c3f90dc00070a83d13ed6cac02d0c6bb28b722ff4
SHA512: 7f253d0695a577e0448fba692132afc9644d19e49e53d2d154370484d7d048e931407b4bf7eef5856085b5fa522ac7a344a0464cd5151eb055b8c9aa42d62250
Homepage: https://cran.r-project.org/package=gradDescent
Description: CRAN Package 'gradDescent' (Gradient Descent for Regression Tasks)
 An implementation of various learning algorithms based on Gradient Descent
 for dealing with regression tasks.  The variants of gradient descent
 algorithm are : Mini-Batch Gradient Descent (MBGD), which is an optimization
 to use training data partially to reduce the computation load.  Stochastic
 Gradient Descent (SGD), which is an optimization to use a random data in
 learning to reduce the computation load drastically.  Stochastic Average
 Gradient (SAG), which is a SGD-based algorithm to minimize stochastic step
 to average.  Momentum Gradient Descent (MGD), which is an optimization to
 speed-up gradient descent learning.  Accelerated Gradient Descent (AGD),
 which is an optimization to accelerate gradient descent learning.  Adagrad,
 which is a gradient-descent-based algorithm that accumulate previous cost to
 do adaptive learning.  Adadelta, which is a gradient-descent-based algorithm
 that use hessian approximation to do adaptive learning.  RMSprop, which is a
 gradient-descent-based algorithm that combine Adagrad and Adadelta adaptive
 learning ability.  Adam, which is a gradient-descent-based algorithm that
 mean and variance moment to do adaptive learning.  Stochastic Variance
 Reduce Gradient (SVRG), which is an optimization SGD-based algorithm to
 accelerates the process toward converging by reducing the gradient.  Semi
 Stochastic Gradient Descent (SSGD),which is a SGD-based algorithm that
 combine GD and SGD to accelerates the process toward converging by choosing
 one of the gradients at a time.  Stochastic Recursive Gradient Algorithm
 (SARAH), which is an optimization algorithm similarly SVRG to accelerates
 the process toward converging by accumulated stochastic information.
 Stochastic Recursive Gradient Algorithm+ (SARAHPlus), which is a SARAH
 practical variant algorithm to accelerates the process toward converging
 provides a possibility of earlier termination.

Package: r-cran-grade
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grade_0.2-1-1.ca2004.1_all.deb
Size: 202208
MD5sum: 3092bab5d2f87a4d29cfb944b4d043ce
SHA1: c405d8136303c3b6432fe25bdc1d354ed2c7d662
SHA256: de98f94089f8f7825bf86ffde707ab309f85fde741e0376cb521aaf9c927a1b5
SHA512: b41d22d43be260fb2b01c459d2b76caccce87f00bfdd02d42ae80ae5976231643deaac8cf41af5803a55fe1aed21e6201c5a02c31f1e83ac7c06a5faeff4bd46
Homepage: https://cran.r-project.org/package=grade
Description: CRAN Package 'grade' (Binary Grading functions for R)
 Provides functions for matching student-answers to teacher answers for a
 variety of data types.

Package: r-cran-grader
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat, r-cran-callr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grader_1.0.10-1.ca2004.1_all.deb
Size: 106608
MD5sum: 679b62f40eacb358a769c1a241ccc200
SHA1: b1e898b514be3f4026673c920b3d4ef62125b4d4
SHA256: ab68f7e9ba962c17682eea9bd4cfdf6298f5f0ea2164cebf74bb80d3cdc9fd6b
SHA512: 7f7ece88a9789087c8e2d3731826353f411e54acf575771bce8fa25c5a770f32cda043007738b5f23796c6f3b02146c0481a431eec1865c93d9aa7a96a89d770
Homepage: https://cran.r-project.org/package=gradeR
Description: CRAN Package 'gradeR' (Helps Grade Assignment Submissions that are R Scripts)
 After being given the location of your students' submissions and a test
 file, the function runs each .R file, and evaluates the results from all the
 given tests. Results are neatly returned in a data frame that has a row for
 each student, and a column for each test.

Package: r-cran-gradient
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gradient_1.0.1-1.ca2004.1_all.deb
Size: 40456
MD5sum: 6ebfaee1787233418bdd43ec00402a1f
SHA1: 7501dd8358c66e49e295b4f60ea3e81143061fe7
SHA256: 575ee423405397b214314209423febbcba093370e1598bda960e9d154c33ab06
SHA512: e376c6874ab7211fadd6c6c4d791439e4e15655a2c3568b8a2b62fc43aa3e746491c2d7f2eb306898a57fa2d3f1d8a5be2e9439463976e3306af404d6627c73d
Homepage: https://cran.r-project.org/package=graDiEnt
Description: CRAN Package 'graDiEnt' (Stochastic Quasi-Gradient Differential Evolution Optimization)
 An optim-style implementation of the Stochastic Quasi-Gradient Differential
 Evolution (SQG-DE) optimization algorithm first published by Sala,
 Baldanzini, and Pierini (2018; <doi:10.1007/978-3-319-72926-8_27>). This
 optimization algorithm fuses the robustness of the population-based global
 optimization algorithm "Differential Evolution" with the efficiency of
 gradient-based optimization. The derivative-free algorithm uses population
 members to build stochastic gradient estimates, without any additional
 objective function evaluations. Sala, Baldanzini, and Pierini argue this
 algorithm is useful for 'difficult optimization problems under a tight
 function evaluation budget.' This package can run SQG-DE in parallel and
 sequentially.

Package: r-cran-gradientpickerd3
Architecture: all
Version: 0.1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-gradientpickerd3_0.1.0.0-1.ca2004.1_all.deb
Size: 123800
MD5sum: d129090abf453e55b6701c3a42d6f3be
SHA1: 6fe8b0d3adf1fbadb4a59ebf03eece385e7555eb
SHA256: cf4b5e83e67ee1e878a8602574889fd8f5c38b1339abd48dac6587ea037770f2
SHA512: 8e4f8ce45e6619192546454c664f664b97a8075c3085731eb56a288ba15caf359ffc12ac07c89f4e20feec2d2eff08dec359bd1e803d7834df91408333e2350a
Homepage: https://cran.r-project.org/package=gradientPickerD3
Description: CRAN Package 'gradientPickerD3' (Interactive Color Gradient Picker Using 'htmlwidgets' and theModified JS Script 'jquery-gradient-picker')
 Widget for an interactive selection and modification of a color gradient.
 'gradientPickerD3' allows addition, removement and replacement of color
 ticks. List of numeric values will automatically translate in their
 corresponding tick position within the numeric range. App returns a
 data.frame containing tick values, colors and the positions in percent (0.0
 to 1.0) for each color tick in the gradient. The original JS
 'jquery-gradient-picker' was implemented by Matt Crinklaw-Vogt (nick:
 tantaman) <https://github.com/tantaman/>. Widget and JS modifications were
 done by CD. Peikert.

Package: r-cran-grafify
Architecture: all
Version: 5.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5609
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-car, r-cran-dplyr, r-cran-emmeans, r-cran-hmisc, r-cran-lme4, r-cran-lmertest, r-cran-magrittr, r-cran-mgcv, r-cran-patchwork, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-matrix, r-cran-rlang, r-cran-rmarkdown, r-cran-pbkrtest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grafify_5.0.0.1-1.ca2004.1_all.deb
Size: 4191500
MD5sum: d15862d83668892a59f5edab19c41a48
SHA1: 3ca487f8de419d4d9b80d62f369226283f1a0ddf
SHA256: 7fe28255506916c677139a63276aadcc56493d15f73c58f1f877d208b99f2039
SHA512: d8be70c2027a72cdb680059f2a94e90121cf6ddc7bf0851b3531a1d3473f51604628b7c7f304e702396948123a477f89a4d650bebf98d0b73a4713a24d787a7e
Homepage: https://cran.r-project.org/package=grafify
Description: CRAN Package 'grafify' (Easy Graphs for Data Visualisation and Linear Models for ANOVA)
 Easily explore data by plotting graphs with a few lines of code. Use these
 ggplot() wrappers to quickly draw graphs of scatter/dots with box-whiskers,
 violins or SD error bars, data distributions, before-after graphs, factorial
 ANOVA and more. Customise graphs in many ways, for example, by choosing from
 colour blind-friendly palettes (12 discreet, 3 continuous and 2 divergent
 palettes). Use the simple code for ANOVA as ordinary (lm()) or mixed-effects
 linear models (lmer()), including randomised-block or repeated-measures
 designs, and fit non-linear outcomes as a generalised additive model (gam)
 using mgcv(). Obtain estimated marginal means and perform post-hoc
 comparisons on fitted models (via emmeans()). Also includes small datasets
 for practising code and teaching basics before users move on to more complex
 designs. See vignettes for details on usage
 <https://grafify.shenoylab.com/>. Citation: <doi:10.5281/zenodo.5136508>.

Package: r-cran-grafzahl
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1579
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-lime, r-cran-quanteda, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-quanteda.textmodels, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-grafzahl_0.0.12-1.ca2004.1_all.deb
Size: 1114576
MD5sum: 85e02ba54e4a396b3aecd54899495731
SHA1: eb389d2c4e6405165f6a4d1789016f1346e675b1
SHA256: 5b308d9782501e06e3e835c22a55608ce7abe6174fccb25bc31a96c8ed423123
SHA512: e158736580538fa76243062d6ebec8c28bc1855b6299ee95e3d3cbd23502be88a6f25aa8fb992f4da578ca9c3c0088dd95b81bf610f10e0bd51d9586c0209f27
Homepage: https://cran.r-project.org/package=grafzahl
Description: CRAN Package 'grafzahl' (Supervised Machine Learning for Textual Data Using Transformersand 'Quanteda')
 Duct tape the 'quanteda' ecosystem (Benoit et al., 2018)
 <doi:10.21105/joss.00774> to modern Transformer-based text classification
 models (Wolf et al., 2020) <doi:10.18653/v1/2020.emnlp-demos.6>, in order to
 facilitate supervised machine learning for textual data. This package mimics
 the behaviors of 'quanteda.textmodels' and provides a function to setup the
 'Python' environment to use the pretrained models from 'Hugging Face'
 <https://huggingface.co/>. More information:
 <doi:10.5117/CCR2023.1.003.CHAN>.

Package: r-cran-grainchanger
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sf, r-cran-furrr, r-cran-checkmate, r-cran-usethis
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-ggplot2, r-cran-landscapetools, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-grainchanger_0.3.2-1.ca2004.1_all.deb
Size: 516148
MD5sum: 9d61eafb2ab7953b99cb202eb655d657
SHA1: 21bc68b2e7032d19e9297ab68f676f86adf3fa58
SHA256: 080753e1a74f87ca64827a4c7c3afcc084bca51a42351dee6f5a248cebb42a8c
SHA512: 2d9b11653875ba19dc1cd362107b3e5ff9722267de3a35f3db8de63c277d9d05c2b83a2681ac52c9f23867e5634daa549832ce6d2f972abc51619172e7eebb44
Homepage: https://cran.r-project.org/package=grainchanger
Description: CRAN Package 'grainchanger' (Moving-Window and Direct Data Aggregation)
 Data aggregation via moving window or direct methods. Aggregate a
 fine-resolution raster to a grid. The moving window method smooths the
 surface using a specified function within a moving window of a specified
 size and shape prior to aggregation. The direct method simply aggregates to
 the grid using the specified function.

Package: r-cran-gramevol
Architecture: all
Version: 2.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 475
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rex, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-gramevol_2.1-4-1.ca2004.1_all.deb
Size: 402008
MD5sum: 14f08b7f9b8fd75fed6d04730d636e37
SHA1: cfc5cbd3dc03b67814a2c098e6768962ca8fc91e
SHA256: a3d8bcfd62242f30167437bfbaabd727c0fd990671b3fc6640aa4327f7984802
SHA512: 96bcbe5224336588242c7da2e1ebb24e4b89ced495ff33839e199cdf03998ccf08647b210006d12cb4f1259f63d142a2a508c1b644c3e41e7ea60aa4b6847f49
Homepage: https://cran.r-project.org/package=gramEvol
Description: CRAN Package 'gramEvol' (Grammatical Evolution for R)
 A native R implementation of grammatical evolution (GE).  GE facilitates the
 discovery of programs that can achieve a desired goal.  This is done by
 performing an evolutionary optimisation over a population of R expressions
 generated via a user-defined context-free grammar (CFG) and cost function.

Package: r-cran-gramquad
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-gramquad_0.1.1-1.ca2004.1_all.deb
Size: 13876
MD5sum: 09d026d3e0a275a0088faf82c64d2703
SHA1: 32937c8f7202b4b6644ed6502e59bd006853c69d
SHA256: 9ccb75840120f86538e444c2a797e5df1b6d4bb613ea2a133e593f0c77f6ea18
SHA512: 72b88fff83865184941bd9fa4529fc509ae79943919e890b64c574b6e96ad9e8dd0f1aa165893138bb057d085a94196c14305b05603c2f552f264c0f9a21a61e
Homepage: https://cran.r-project.org/package=GramQuad
Description: CRAN Package 'GramQuad' (Gram Quadrature)
 Numerical integration with Gram polynomials (based on <arXiv:2106.14875>
 [math.NA] 28 Jun 2021, by Irfan Muhammad [School of Computer Science,
 University of Birmingham, UK]).

Package: r-cran-granbase
Architecture: all
Version: 2.6.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3089
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grancore, r-cran-switchr, r-cran-htmltable, r-cran-dplyr, r-cran-sendmailr, r-cran-covr, r-cran-rcurl, r-cran-jsonlite, r-cran-stringi, r-cran-markdown, r-cran-desc
Suggests: r-cran-rmarkdown, r-cran-hexsticker, r-cran-knitr, r-cran-dt
Filename: pool/dists/focal/main/r-cran-granbase_2.6.20-1.ca2004.1_all.deb
Size: 914772
MD5sum: 47e106290c2ad3224e3a73781069ca94
SHA1: 7f0444a9a084b842add30570113b96eecedf0aa3
SHA256: f5c1c8dc58ef96f67c8a708c3128eee3220d9139aadeda1fed4e4ad5f2d5a2ea
SHA512: b7005d89194f77a451124f43253adcae3110d4c6e770f2891362d3491527e1feaf5749f5a97b6e87ac676809568455115258a1106e0966b4320e5c1173b68e11
Homepage: https://cran.r-project.org/package=GRANBase
Description: CRAN Package 'GRANBase' (Creating Continuously Integrated Package Repositories fromManifests)
 Repository based tools for department and analysis level reproducibility.
 'GRANBase' allows creation of custom branched, continuous integration-ready
 R repositories, including incremental testing of only packages which have
 changed versions since the last repository build.

Package: r-cran-grancore
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-switchr
Filename: pool/dists/focal/main/r-cran-grancore_0.2.7-1.ca2004.1_all.deb
Size: 187796
MD5sum: c6c3fe5af3eadf8b9c1e10de1df9a4f3
SHA1: 45a607ec3b6e0517b90280e6e1cf521efb53f756
SHA256: b68cfca80d14c66e229e0c1630902235301c83c44af85f3322da956afc75bdf2
SHA512: 2f20c387f46433b144a0de49131d35b9a7656d4fe8565557d1f588f034d0978547c2401b3cc227326c646426db3e691bcfcf5ea98bad2fc76aa09e1560316552
Homepage: https://cran.r-project.org/package=GRANCore
Description: CRAN Package 'GRANCore' (Classes and Methods for 'GRANBase')
 Provides the classes and methods for GRANRepository objects that are used
 within the 'GRAN' build framework for R packages.  This is primarily used by
 the 'GRANBase' package and repositories that are created by it.

Package: r-cran-grand
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1382
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grand_0.9.0-1.ca2004.1_all.deb
Size: 1142296
MD5sum: 7b96f4a7246352c3f07a707f4a92e4ce
SHA1: e01857e37ad195cb792efce334ae48257e62c13f
SHA256: 4a871aee01ceebb17b929d303fdba22b72b8579f38cc6ec413bda045c9462817
SHA512: 4e051e794c810201b93e0d55eb859d36637f7e5d9acc58522ba4810abecf2903761312e18d5fb254b7058766f71794dc593001c85b052f4d7d1751782509555a
Homepage: https://cran.r-project.org/package=grand
Description: CRAN Package 'grand' (Guidelines for Reporting About Network Data)
 Interactively applies the Guidelines for Reporting About Network Data
 (GRAND) to an 'igraph' object, and generates a uniform narrative or tabular
 description of the object.

Package: r-cran-grangers
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vars, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-grangers_0.1.0-1.ca2004.1_all.deb
Size: 108376
MD5sum: da0a8abcb555cd885f07af96e1fa3b4c
SHA1: aa83ea9a9908fd78215a726cf90eb0e320969bd7
SHA256: 8b3a0e22ecd11a33b8c51e4d502d66d5bf23103ed255f6c0b1792cbdcce3537e
SHA512: 179c19592d3b02c6069c79cbfcb4ffa780e5dfee6af45ef7c49be11fb37243ba1fca0b67c001fe0f3e2b508957f799e9c5368f56b5245aef9edc207fc8747b6a
Homepage: https://cran.r-project.org/package=grangers
Description: CRAN Package 'grangers' (Inference on Granger-Causality in the Frequency Domain)
 Contains five functions performing the calculation of unconditional and
 conditional Granger-causality spectra, bootstrap inference on both, and
 inference on the difference between them via the bootstrap approach of
 Farne' and Montanari, 2018 <arXiv:1803.00374>.

Package: r-cran-granova
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car
Suggests: r-cran-mgcv, r-cran-rgl, r-cran-mass
Filename: pool/dists/focal/main/r-cran-granova_2.2-1.ca2004.1_all.deb
Size: 82092
MD5sum: 6fef019eb94b17cbe2738f43c65381c2
SHA1: 05704f649c7e2383fb7dffe3ce26456040d424b4
SHA256: 49287b736bd34f4c042cb20991fca1a08112f05f8b3f64762ab8a2507b4c4250
SHA512: 2860589b633c69e9d87cbaf40894465d82cbdbc401df459d0c03fdc278a5e94afb1b4db9475755a1ec0b38a266caf252674cf43f92701577db5adecd09ee465b
Homepage: https://cran.r-project.org/package=granova
Description: CRAN Package 'granova' (Graphical Analysis of Variance)
 This small collection of functions provides what we call elemental graphics
 for display of analysis of variance results, David C. Hoaglin, Frederick
 Mosteller and John W. Tukey (1991, ISBN:978-0-471-52735-0), Paul R.
 Rosenbaum (1989) <doi:10.2307/2684513>, Robert M. Pruzek and James E.
 Helmreich <https://jse.amstat.org/v17n1/helmreich.html>.  The term elemental
 derives from the fact that each function is aimed at construction of
 graphical displays that afford direct visualizations of data with respect to
 the fundamental questions that drive the particular analysis of variance
 methods. These functions can be particularly helpful for students and
 non-statistician analysts. But these methods should be quite generally
 helpful for work-a-day applications of all kinds, as they can help to
 identify outliers, clusters or patterns, as well as highlight the role of
 non-linear transformations of data.

Package: r-cran-granovagg
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-granovagg_1.4.1-1.ca2004.1_all.deb
Size: 141076
MD5sum: e80c81371e17079c6127c9a685930cd5
SHA1: c9a31c32b54d07cdbd0fe600ac2ee479e6c10341
SHA256: b137137bc67f10d660481f3278b0369b8fd5ec05d571ad477c081fa33cc688fe
SHA512: e8d35cb797ada2a5cf710ef52ca71069a274920a650d0659f69a83b5201418f789666c0b86a0d71d5ff3b941629de0c734632cc8e3478c73d7be2885c77d3c14
Homepage: https://cran.r-project.org/package=granovaGG
Description: CRAN Package 'granovaGG' (Graphical Analysis of Variance Using ggplot2)
 Create what we call Elemental Graphics for display of anova results. The
 term elemental derives from the fact that each function is aimed at
 construction of graphical displays that afford direct visualizations of data
 with respect to the fundamental questions that drive the particular anova
 methods. This package represents a modification of the original granova
 package; the key change is to use 'ggplot2', Hadley Wickham's package based
 on Grammar of Graphics concepts (due to Wilkinson). The main function is
 granovagg.1w() (a graphic for one way ANOVA); two other functions
 (granovagg.ds() and granovagg.contr()) are to construct graphics for
 dependent sample analyses and contrast-based analyses respectively. (The
 function granova.2w(), which entails dynamic displays of data, is not
 currently part of 'granovaGG'.) The 'granovaGG' functions are to display
 data for any number of groups, regardless of their sizes (however, very
 large data sets or numbers of groups can be problematic). For granovagg.1w()
 a specialized approach is used to construct data-based contrast vectors for
 which anova data are displayed. The result is that the graphics use a
 straight line to facilitate clear interpretations while being faithful to
 the standard effect test in anova. The graphic results are complementary to
 standard summary tables; indeed, numerical summary statistics are provided
 as side effects of the graphic constructions. granovagg.ds() and
 granovagg.contr() provide graphic displays and numerical outputs for a
 dependent sample and contrast-based analyses. The graphics based on these
 functions can be especially helpful for learning how the respective methods
 work to answer the basic question(s) that drive the analyses. This means
 they can be particularly helpful for students and non-statistician analysts.
 But these methods can be of assistance for work-a-day applications of many
 kinds, as they can help to identify outliers, clusters or patterns, as well
 as highlight the role of non-linear transformations of data. In the case of
 granovagg.1w() and granovagg.ds() several arguments are provided to
 facilitate flexibility in the construction of graphics that accommodate
 diverse features of data, according to their corresponding display
 requirements. See the help files for individual functions.

Package: r-cran-grantham
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grantham_0.1.4-1.ca2004.1_all.deb
Size: 226420
MD5sum: 970fca4cab95af7f3c993a36f98170c4
SHA1: a3aefd9cb4b4ee34e5009cb02225df28368bfb5f
SHA256: 63a494bd62a8360bf88035f1f580fe792a3cd3cf7af3c8da97dec4ca20f8d3bb
SHA512: 438c1503bd7f199a3a5bf812ee750b586983bca8d38e17dca38f8365f47349bbb112c55847adbb84912d91b4340007d8f9afd53a7d5b5d6c1bf18ddf2c908da9
Homepage: https://cran.r-project.org/package=grantham
Description: CRAN Package 'grantham' (Calculate the Grantham Distance)
 A minimal set of routines to calculate the Grantham distance
 <doi:10.1126/science.185.4154.862>. The Grantham distance attempts to
 provide a proxy for the evolutionary distance between two amino acids based
 on three key chemical properties: composition, polarity and molecular
 volume. In turn, evolutionary distance is used as a proxy for the impact of
 missense mutations. The higher the distance, the more deleterious the
 substitution is expected to be.

Package: r-cran-grape
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grape_0.1.1-1.ca2004.1_all.deb
Size: 38960
MD5sum: 3c4e003af19832a5a958cad2fc7911a6
SHA1: 09e10c902b4eeb6ca48f5bc69988f6caea007a91
SHA256: 17e34e71e9c3a844a45b6030b8b880d612cb7c5e522d505f0faa69db6a682c93
SHA512: 9e0bce4cb8e2a276124790974527e56541c972fd688a192a442fb3a4d2b71dac3cbcc3e006794ff6958dea0b019c6273c36fae0e885bd804daa0162fb14a1ee5
Homepage: https://cran.r-project.org/package=GRAPE
Description: CRAN Package 'GRAPE' (Gene-Ranking Analysis of Pathway Expression)
 Gene-Ranking Analysis of Pathway Expression (GRAPE) is a tool for
 summarizing the consensus behavior of biological pathways in the form of a
 template, and for quantifying the extent to which individual samples deviate
 from the template. GRAPE templates are based only on the relative rankings
 of the genes within the pathway and can be used for classification of tissue
 types or disease subtypes. GRAPE can be used to represent gene-expression
 samples as vectors of pathway scores, where each pathway score indicates the
 departure from a given collection of reference samples. The resulting
 pathway- space representation can be used as the feature set for various
 applications, including survival analysis and drug-response prediction.
 Users of GRAPE should use the following citation: Klein MI, Stern DF, and
 Zhao H. GRAPE: A pathway template method to characterize tissue-specific
 functionality from gene expression profiles.  BMC Bioinformatics, 18:317
 (June 2017).

Package: r-cran-grapes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grapes_1.0.0-1.ca2004.1_all.deb
Size: 82848
MD5sum: 61fe2250cf2d905b327361976ced1020
SHA1: dc4ade8966afd48cc8ba7f6f11d24dc097caebd5
SHA256: d40b9d497dc834f5524f68f42fe9a9e015637c08a34c9719270b8734e680e4e9
SHA512: 05927367be61cd5c4a3c4daf6531073dc82b71f1bc3f2d6a8109a274005c81529874eccd6b65a148612aa2b3ec5c3ee803133d7fb8f27e04441ba40185ea1148
Homepage: https://cran.r-project.org/package=grapes
Description: CRAN Package 'grapes' (Make Binary Operators)
 Turn arbitrary functions into binary operators.

Package: r-cran-grapesagri1
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4196
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-shinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grapesagri1_1.1.0-1.ca2004.1_all.deb
Size: 3477600
MD5sum: 87d52c6d25b9ed848440a9fe10368206
SHA1: ba35e885c9e1c4ed7c7220b5d9e0c8cb7dfe3b42
SHA256: e446af24bceca4b9513378b30f92f30c0a544b2f718937df0a0442399280b3ee
SHA512: c4f51786110266a2ddc9090e87e06c5045cc395d79f404d42da96a98cc729f3940780a623c1e74a11b3c03b5059ee8b804f21f35bce59e3108ce2fd9dcfb6407
Homepage: https://cran.r-project.org/package=grapesAgri1
Description: CRAN Package 'grapesAgri1' (Collection of Shiny Apps for Agricultural Research Data Analysis)
 Allows user to have graphical user interface to perform analysis of
 Agricultural experimental data. On using the functions in this package a
 Interactive User Interface will pop up. Apps Works by simple upload of files
 in CSV format.

Package: r-cran-grapfa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-grapfa_1.0-1.ca2004.1_all.deb
Size: 115728
MD5sum: c03f9493b9341c25a5ae3f6ec27dce6c
SHA1: 8873558dfd2e1f258115ab0bf69aa38fba26f165
SHA256: 610c59ff956c22903958c29191e962d69efc15af646b3256d6883fc5654fb13c
SHA512: 288c685d095d1268b453287c7ede57686de65b58e2a8e9a500049841436a2ee531dee45de76fafe2d3a0307b3ac51cb81ed3e3f673166a127c5b8c47fbe7658f
Homepage: https://cran.r-project.org/package=gRapfa
Description: CRAN Package 'gRapfa' (Acyclic Probabilistic Finite Automata)
 gRapfa is for modelling discrete longitudinal data using acyclic
 probabilistic finite automata (APFA). The package contains functions for
 constructing APFA models from a given data using penalized likelihood
 methods. For graphical display of APFA models, gRapfa depends on 'igraph
 package'. gRapfa also contains an interface function to Beagle software that
 implements an efficient model selection algorithm.

Package: r-cran-graph3d
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-lazyeval
Suggests: r-cran-shiny, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-graph3d_0.2.0-1.ca2004.1_all.deb
Size: 99508
MD5sum: e339dd84ee94631248eb7a9d1a1ea0e2
SHA1: cc4477e974d528f82c02077249685ea5f9f715bd
SHA256: 6e0bbac3bb91e269e0a499989d134d4805072025a3d43e629b5c2da8706f55db
SHA512: e7a8e02bc4c68fe25baeec4ff13a85da4b8186b3bde4d5e59340c1aa0b647134775316e979f2a76400135a55437dc6bdb48e7a44a0479982419c2fb676453153
Homepage: https://cran.r-project.org/package=graph3d
Description: CRAN Package 'graph3d' (A Wrapper of the JavaScript Library 'vis-graph3d')
 Create interactive visualization charts to draw data in three dimensional
 graphs. The graphs can be included in Shiny apps and R markdown documents,
 or viewed from the R console and 'RStudio' Viewer. Based on the 'vis.js'
 Graph3d module and the 'htmlwidgets' R package.

Package: r-cran-graph4lg
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3341
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-adegenet, r-cran-ggplot2, r-cran-stringr, r-cran-igraph, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-matrix, r-cran-vegan, r-cran-pegas, r-cran-mass, r-cran-tidyr, r-cran-sp, r-cran-sf, r-cran-hierfstat, r-cran-rappdirs, r-cran-gdistance, r-cran-raster, r-cran-foreign, r-cran-ecodist, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-graph4lg_1.8.0-1.ca2004.1_all.deb
Size: 2062852
MD5sum: 93b35c0c61f32bfae610e63ad155e0b7
SHA1: 6853cc25e41aa21d5fac628830a41097187b9945
SHA256: 82c3e1ddde01f7019d666533358fb62f5afed1629efdcc53f30cc76165d8c104
SHA512: a556f5707630797b6ef42bd1caa412996920716262dfd3df3dd80cd315e3f1f5e55dafccfe11f229ae045c9d32dc91e2db01383d9ec8590ab3e719e6027b3db8
Homepage: https://cran.r-project.org/package=graph4lg
Description: CRAN Package 'graph4lg' (Build Graphs for Landscape Genetics Analysis)
 Build graphs for landscape genetics analysis. This set of functions can be
 used to import and convert spatial and genetic data initially in different
 formats, import landscape graphs created with 'GRAPHAB' software (Foltete et
 al., 2012) <doi:10.1016/j.envsoft.2012.07.002>, make diagnosis plots of
 isolation by distance relationships in order to choose how to build genetic
 graphs, create graphs with a large range of pruning methods, weight their
 links with several genetic distances, plot and analyse graphs, compare them
 with other graphs. It uses functions from other packages such as 'adegenet'
 (Jombart, 2008) <doi:10.1093/bioinformatics/btn129> and 'igraph' (Csardi et
 Nepusz, 2006) <https://igraph.org/>. It also implements methods commonly
 used in landscape genetics to create graphs, described by Dyer et Nason
 (2004) <doi:10.1111/j.1365-294X.2004.02177.x> and Greenbaum et Fefferman
 (2017) <doi:10.1111/mec.14059>, and to analyse distance data (van Strien et
 al., 2015) <doi:10.1038/hdy.2014.62>.

Package: r-cran-graphclust
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-blockmodels, r-cran-igraph, r-cran-sclust
Filename: pool/dists/focal/main/r-cran-graphclust_1.3-1.ca2004.1_all.deb
Size: 116272
MD5sum: 2b1bcaeedf9779f6e41ea678b8f71dd2
SHA1: ef16c1804619f1f3cdcaf45349af936790680cfb
SHA256: 0794d1c118d0e8f2f4a1e1319da25ebab036f75b13b7f18946c54e4639a537c3
SHA512: b281888fcada3575c4d3a73a0122387e2c01431c567b3ef0ef1cd493b2e4b5a44ce0266a0626efb221250d51f40831c71a57988b001c036543a8758d8e06540c
Homepage: https://cran.r-project.org/package=graphclust
Description: CRAN Package 'graphclust' (Hierarchical Graph Clustering for a Collection of Networks)
 Graph clustering using an agglomerative algorithm to maximize the integrated
 classification likelihood criterion and a mixture of stochastic block
 models. The method is described in the article "Model-based clustering of
 multiple networks with a hierarchical algorithm" by T. Rebafka (2022)
 <arXiv:2211.02314>.

Package: r-cran-grapher
Architecture: all
Version: 1.9-86-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 856
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grapher_1.9-86-5-1.ca2004.1_all.deb
Size: 695508
MD5sum: 5535c239eddd71ece22b476511dc436f
SHA1: d57888e6e6cb3a3cfc692ea6c499283d8b6a1630
SHA256: c57813568835f966f87a7e926f2e609f13fde6832deb1d8bca625970e782dd88
SHA512: b9b73a6e7936d8ca4d511bfe0aae963b688fd4643956230b9a5fe30995679b240fa7f70f6a1edeed0eaf3f02914cbf69b275072611faa0cd17edb2b215533a07
Homepage: https://cran.r-project.org/package=GrapheR
Description: CRAN Package 'GrapheR' (A Multi-Platform GUI for Drawing Customizable Graphs in R)
 A multi-platform user interface for drawing highly customizable graphs in R.
 It aims to be a valuable help to quickly draw publishable graphs without any
 knowledge of R commands. Six kinds of graph are available: histogram,
 box-and-whisker plot, bar plot, pie chart, curve and scatter plot.

Package: r-cran-grapherator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-checkmate, r-cran-reshape2, r-cran-vegan, r-cran-ggplot2, r-cran-lhs, r-cran-deldir
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-grapherator_1.0.0-1.ca2004.1_all.deb
Size: 751436
MD5sum: 898906688bbe331466e879f6e083cf79
SHA1: 5b242ed8efb6fb4f04967a329697a56d0cbb1639
SHA256: d0ca20ce9b6f7da1e51f46a4b34e1722f9b0e9704ab40fb10da7e76f36b8c850
SHA512: aa43740d8cde9bcdf159c405ee250f5aad7d907a348a293298c1f0dc4791105515b58cd802240dedc17fb0239f9474907b443cb998ae5298cf0c7bac483ab8c7
Homepage: https://cran.r-project.org/package=grapherator
Description: CRAN Package 'grapherator' (A Modular Multi-Step Graph Generator)
 Set of functions for step-wise generation of (weighted) graphs. Aimed for
 research in the field of single- and multi-objective combinatorial
 optimization. Graphs are generated adding nodes, edges and weights. Each
 step may be repeated multiple times with different predefined and custom
 generators resulting in high flexibility regarding the graph topology and
 structure of edge weights.

Package: r-cran-graphframes
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr, r-cran-tibble, r-cran-forge
Suggests: r-cran-testthat, r-cran-covr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-graphframes_0.1.2-1.ca2004.1_all.deb
Size: 67752
MD5sum: 7892a5fe29ebf7ae72e8160d88c79477
SHA1: eb6809b9a4349054b49bcf420e9755ffe7dbcaca
SHA256: 40ac361ff4d265ee9447ff378e399b5e32876dc471243339bb0a6fd0bf858dd8
SHA512: 493202f43c084f1599c252c461ffe2d7ab23126b969492f1653cd5f8653a27affe63d755f9fb5387eef8e5a6193c10d88563873dc8393f780294c225dacc8024
Homepage: https://cran.r-project.org/package=graphframes
Description: CRAN Package 'graphframes' (Interface for 'GraphFrames')
 A 'sparklyr' <https://spark.rstudio.com/> extension that provides an R
 interface for 'GraphFrames' <https://graphframes.github.io/>. 'GraphFrames'
 is a package for 'Apache Spark' that provides a DataFrame-based API for
 working with graphs. Functionality includes motif finding and common graph
 algorithms, such as PageRank and Breadth-first search.

Package: r-cran-graphhopper
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-googlepolylines, r-cran-jsonlite, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-sf, r-cran-geojsonsf, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-graphhopper_0.1.2-1.ca2004.1_all.deb
Size: 325456
MD5sum: 845b3a9591a4d9a7875204f453f0bbd5
SHA1: 53cadaa7a54111f02be8c939904eaac8a5e1674e
SHA256: ddcdf5c5b84a7de74bfb1f50ff17d74e9052d118e3460da76f74c3acf4c7dfca
SHA512: e4c259706acf1046397c7183a92adbe24f7399ee61e26092ba12838a38f33dab45a29dfbe7b317a13d0db0c7ddae783083355921a6a10b39cb3274e807aeba13
Homepage: https://cran.r-project.org/package=graphhopper
Description: CRAN Package 'graphhopper' (An R Interface to the 'GraphHopper' Directions API)
 Provides a quick and easy access to the 'GraphHopper' Directions API.
 'GraphHopper' <https://www.graphhopper.com/> itself is a routing engine
 based on 'OpenStreetMap' data.  API responses can be converted to simple
 feature (sf) objects in a convenient way.

Package: r-cran-graphicalextremes
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4176
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-mvtnorm, r-cran-rdpack, r-cran-corpcor, r-cran-osqp, r-cran-glmnet, r-cran-glassofast, r-cran-cvxr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-bookdown, r-cran-maps
Filename: pool/dists/focal/main/r-cran-graphicalextremes_0.3.4-1.ca2004.1_all.deb
Size: 3552204
MD5sum: b8f7ce05569392ad08b106858816c466
SHA1: 508eca1183a171ddecf091e1b66df5614ad5de9c
SHA256: cb86a7fab694b0ad7d0c40fef4284045f51ba3e7c8817f51c3e5fc6bf8126267
SHA512: d5c9d0154a6a1f78af1b060e5f24bde6b350c18b3cf1ef975cea93e0be102a6b6a8c192d144355cd226f43d8619350c3aaea768c8f46cb30555a8ce5d5294764
Homepage: https://cran.r-project.org/package=graphicalExtremes
Description: CRAN Package 'graphicalExtremes' (Statistical Methodology for Graphical Extreme Value Models)
 Statistical methodology for sparse multivariate extreme value models.
 Methods are provided for exact simulation and statistical inference for
 multivariate Pareto distributions on graphical structures as described in
 the paper 'Graphical Models for Extremes' by Engelke and Hitz (2020)
 <doi:10.1111/rssb.12355>.

Package: r-cran-graphicalmcp
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1090
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixstats, r-cran-mvtnorm
Suggests: r-cran-bench, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-gmcp, r-cran-gt, r-cran-here, r-cran-htmltools, r-cran-igraph, r-cran-knitr, r-cran-lrstat, r-cran-prompt, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-tictoc, r-cran-tidyr, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-graphicalmcp_0.2.8-1.ca2004.1_all.deb
Size: 469620
MD5sum: 562da86eb704b597018754fa90a588d5
SHA1: e06c0cf770de3e7d954876c649ec774286a67236
SHA256: ebce7c3660f55da1f417105d76bf7deb3c7bc930f853a5df55d35ecb5eba51d3
SHA512: 034662e3773536f33279f1cb9e41d04617ce7cf7fc04152f47bc4e7ecd641e65f5050117097d760a1378d7d91344323a1a40806f37161aff5885ed5828a85101
Homepage: https://cran.r-project.org/package=graphicalMCP
Description: CRAN Package 'graphicalMCP' (Graphical Multiple Comparison Procedures)
 Multiple comparison procedures (MCPs) control the familywise error rate in
 clinical trials. Graphical MCPs include many commonly used procedures as
 special cases; see Bretz et al. (2011) <doi:10.1002/bimj.201000239>, Lu
 (2016) <doi:10.1002/sim.6985>, and Xi et al. (2017)
 <doi:10.1002/bimj.201600233>. This package is a low-dependency
 implementation of graphical MCPs which allow mixed types of tests. It also
 includes power simulations and visualization of graphical MCPs.

Package: r-cran-graphon
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roptspace, r-cran-rdpack
Suggests: r-cran-igraph
Filename: pool/dists/focal/main/r-cran-graphon_0.3.5-1.ca2004.1_all.deb
Size: 81340
MD5sum: b2989228bae39588f680966fa647b877
SHA1: 258c5ac472af5c9165ef65ffbb6578d18a84f867
SHA256: 9c4fc415264472760851119b7685204df82e47a6190358cc163190262494f92b
SHA512: 2bdb83c1fc3180ac0f408aaa2c8e41d85e91ecda783ef9f237c91e546f3b5e2d78c031ea295881a2565e7d3fd1167ab6505329d43c29fe0fb5e5494864d51ecc
Homepage: https://cran.r-project.org/package=graphon
Description: CRAN Package 'graphon' (A Collection of Graphon Estimation Methods)
 Provides a not-so-comprehensive list of methods for estimating graphon, a
 symmetric measurable function, from a single or multiple of observed
 networks.  For a detailed introduction on graphon and popular estimation
 techniques, see the paper by Orbanz, P. and Roy, D.M.(2014)
 <doi:10.1109/TPAMI.2014.2334607>.  It also contains several auxiliary
 functions for generating sample networks using various network models and
 graphons.

Package: r-cran-graphpaf
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1506
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-gtools, r-cran-mass, r-cran-reshape2, r-cran-survival, r-cran-dplyr, r-cran-madness
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-graphpaf_2.0.0-1.ca2004.1_all.deb
Size: 1484644
MD5sum: 7942e76dea61c16d2246b375cc2ef135
SHA1: 6cd509b779fb262c6fa6f9958ee67214a3a321b3
SHA256: 25ded79db55bf65360fa1af88542f4e38b07487890f60d3ccf5b09387d64a103
SHA512: d3412ccd7e27be9329554a15614884e28d4a881fb2fda7e6f9e0a2271dd9ac93746da7ae9c7643be8053620465928351fa370eaa648222fce1ff5a19787148c1
Homepage: https://cran.r-project.org/package=graphPAF
Description: CRAN Package 'graphPAF' (Estimating and Displaying Population Attributable Fractions)
 Estimation and display of various types of population attributable fraction
 and impact fractions.  As well as the usual calculations of attributable
 fractions and impact fractions, functions are provided for attributable
 fraction nomograms and fan plots, continuous exposures, for pathway specific
 population attributable fractions, and for joint, average and sequential
 population attributable fractions.

Package: r-cran-graphpca
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 993
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-factominer, r-cran-scatterplot3d, r-cran-ggplot2movies
Filename: pool/dists/focal/main/r-cran-graphpca_1.1-1.ca2004.1_all.deb
Size: 978856
MD5sum: 83286bb7412effae8f4704c90d587b21
SHA1: 2ac23bcb3aeebacf24d6cbea04e14223f1775787
SHA256: 54389ce666d271d9a0601d849893d82f96d0ccbceb898a3a98a0c0304c44d553
SHA512: fade3d7627d68c737c03e595709513470622d9b2bd2f65d74dbe719a91d24904d01e1af963407fe48ad020630bdfcc1303acafccb469a37962a18f0666d742c0
Homepage: https://cran.r-project.org/package=GraphPCA
Description: CRAN Package 'GraphPCA' (Graphical Tools of Histogram PCA)
 Histogram principal components analysis is the generalization of the PCA.
 Histogram data are adapted to design complex and big data which histograms
 used as variables (big data adapter). Functions implemented provides
 numerical and graphical tools of an extension of PCA. Sun Makosso Kallyth
 (2016) <doi:10.1002/sam.11270>. Sun Makosso Kallyth and Edwin Diday (2012)
 <doi:10.1007/s11634-012-0108-0>.

Package: r-cran-graphseg
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2667
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-magrittr, r-cran-matrix, r-cran-sf, r-cran-flsa
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-graphseg_0.1.1-1.ca2004.1_all.deb
Size: 2601772
MD5sum: 464767e6f5f1d927b30c36c37165b394
SHA1: a77f9f52632eaa9e698bf9caad479c41293adce8
SHA256: ce8b66ea554548cc9f840d5953fd3599d056604ba9486a3962f191633fe4e491
SHA512: f810f6874287c1d0da92c37af5b6e297253f363da4b884e4a46f0098906c69ceca0f920ce7e08e1904e3b9356375b1ec64119fa885dbd3b7b4f844bc1953ce55
Homepage: https://cran.r-project.org/package=graphseg
Description: CRAN Package 'graphseg' (Segmentation of Graph-Based Signals)
 Perform segmentation of graph-based signals. Assume a noisy observation of a
 signal two values correspond to vertices on a graph. Assume the true value
 of the signal is piece-wise constant (where each 'piece' is a connected
 subgraph). The main function, agraph(), computes the segmentation of the
 signal. The package also includes a wrapper around the competing method
 flsa() (from package 'flsa').  More information about this method in Goepp
 and van de Kassteele (2022) "Graph-Based Spatial Segmentation of
 Health-Related Areal Data" <doi:10.48550/arXiv.2206.06752>.

Package: r-cran-graphsim
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2730
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gplots, r-cran-igraph, r-cran-mvtnorm, r-cran-matrixcalc, r-cran-matrix
Suggests: r-cran-devtools, r-cran-knitr, r-cran-markdown, r-cran-prettydoc, r-cran-r.rsp, r-cran-rmarkdown, r-cran-testthat, r-cran-scales, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-graphsim_1.0.4-1.ca2004.1_all.deb
Size: 1603552
MD5sum: 7b4502d1ccc12a49c6a125124b2c5fa9
SHA1: 3ab901d36e39f28a21cea9a2910f3371a530136c
SHA256: 1896843562af02dddbd194cc81e15688db515fed812ed7daf2bcf7bc56912f5a
SHA512: c4cbade685fa2b11a574e0fadd219231a02c4fa39861d1045e470daf3cd1761b3e3eb81f807346cb21f3645183a3d02a586417c60ddd39a1af6a1f8879552ca0
Homepage: https://cran.r-project.org/package=graphsim
Description: CRAN Package 'graphsim' (Simulate Expression Data from 'igraph' Networks)
 Functions to develop simulated continuous data (e.g., gene expression) from
 a sigma covariance matrix derived from a graph structure in 'igraph'
 objects. Intended to extend 'mvtnorm' to take 'igraph' structures rather
 than sigma matrices as input. This allows the use of simulated data that
 correctly accounts for pathway relationships and correlations. This allows
 the use of simulated data that correctly accounts for pathway relationships
 and correlations. Here we present a versatile statistical framework to
 simulate correlated gene expression data from biological pathways, by
 sampling from a multivariate normal distribution derived from a graph
 structure. This package allows the simulation of biological pathways from a
 graph structure based on a statistical model of gene expression. For example
 methods to infer biological pathways and gene regulatory networks from gene
 expression data can be tested on simulated datasets using this framework.
 This also allows for pathway structures to be considered as a confounding
 variable when simulating gene expression data to test the performance of
 genomic analyses.

Package: r-cran-graphtweets
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-purrr, r-cran-rlang, r-cran-magrittr, r-cran-tidyr, r-cran-zeallot, r-cran-combinat
Suggests: r-cran-rtweet, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-graphtweets_0.5.3-1.ca2004.1_all.deb
Size: 107776
MD5sum: ecb80ace4512ee58582a419ee5bfdf2b
SHA1: d752338e96b8b0083acb0a45f17b1bc72c61d9e7
SHA256: 9b4b16ae40f9dd3f84a86391f36a3dd2111f667caf68718bd09e6209c9da051b
SHA512: 2943ea361afa3891e50e28a1571194912a6ea5f00e68ce12b5dbd34f48e784d18154bd60ee61c3f0cef5fcab1cf68745defdd7d752a09b6c52073066dd733fe0
Homepage: https://cran.r-project.org/package=graphTweets
Description: CRAN Package 'graphTweets' (Visualise Twitter Interactions)
 Allows building an edge table from data frame of tweets, also provides
 function to build nodes and another create a temporal graph.

Package: r-cran-graphx
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magicaxis, r-cran-pracma, r-cran-plotrix, r-cran-cubature, r-cran-png, r-cran-jpeg, r-cran-raster, r-cran-mass, r-cran-sp, r-cran-docore
Suggests: r-bioc-ebimage
Filename: pool/dists/focal/main/r-cran-graphx_1.0-1.ca2004.1_all.deb
Size: 278372
MD5sum: 7af930b14dad7e2e1ee43768873b9e27
SHA1: 1f1f158f5660980b0349aa35acec5f55c493834f
SHA256: 30ded3c00d966d9170c003211f3d57f41275e7099b32caf6a48175a0363cd9db
SHA512: c7ceaa9d690809ee977c549dd39ef960f3cd5b47a95bb1fc8ef92d50fb93eeccf4cb7bd4fcd9c429388b48d6106fdb1973e1b18fbf74149c55d9e58a9e305ca1
Homepage: https://cran.r-project.org/package=graphx
Description: CRAN Package 'graphx' (Graphics Routines for Scientific Research)
 Routines to produce and export publication-ready scientific plots and movies
 (e.g., used in Obreschkow et al. (2020) <doi:10.1093/mnras/staa445>). These
 include special color scales, projection routines, and bitmap handling
 routines.

Package: r-cran-graposas
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ga, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-graposas_1.0.0-1.ca2004.1_all.deb
Size: 37864
MD5sum: e852fbf2f8e9234def29dbb2627bc985
SHA1: a505e71bab3ec3c26521c6411317f59082e625e6
SHA256: b911a05a174ce6ef2173da45ec046502c7f86d32c7adf9fe765e598c2e3d0bce
SHA512: 87f061ec6adce5fd36d2f45075c91b3282e5fe725ca19fc90202cc580b2dce94ce6dbf27f7ffe055f63fc005281b98d6584c3ef916cff715853b5a860a431f88
Homepage: https://cran.r-project.org/package=graposas
Description: CRAN Package 'graposas' (Graphical Approach Optimal Sample Size)
 Graphical approach provides a useful framework for multiplicity adjustment
 in clinical trials with multiple endpoints. This package includes
 statistical methods to optimize sample size over initial weight and
 transition probability in a graphical approach under a common setting, which
 is to use marginal power for each endpoint in a trial design.  See Zhang, F.
 and Gou, J. (2023). Sample size optimization for clinical trials using
 graphical approaches for multiplicity adjustment, Technical Report.

Package: r-cran-grassmannoptim
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-grassmannoptim_2.0.1-1.ca2004.1_all.deb
Size: 30792
MD5sum: 56dd47425ce9c2a2a3f64d32f66b8508
SHA1: 6ac2c3c307a8df905e2bbd04109865f3a87eb560
SHA256: 8ebaef678b20186ff6ffc16ce8dd3fe66c755a2fd750a126f8e04c22f65ed754
SHA512: c1692f7d20937c6df604150efb29f79bd068ede57043b30b48941764657f5324567cb52446cb7ed88d488ec7c9147d7ea119af44d4fa19a0ae07e6b0bc53ea6f
Homepage: https://cran.r-project.org/package=GrassmannOptim
Description: CRAN Package 'GrassmannOptim' (Grassmann Manifold Optimization)
 Optimizing a function F(U), where U is a semi-orthogonal matrix and F is
 invariant under an orthogonal transformation of U.

Package: r-cran-grateful
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-remotes, r-cran-renv, r-cran-rmarkdown, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grateful_0.2.12-1.ca2004.1_all.deb
Size: 316308
MD5sum: 5cccc9d719c254e97d0e576b98b4fdba
SHA1: 6af9d0864329b26eabb0d4b01df78da41573cabc
SHA256: 197ee609dc91ba7215983443999c6a3cad12028c96093fbe555bb71964f89f9a
SHA512: dfec3e88d93515ca63c46d25da7b76de52ea7578075199ea962c3adc22827c3c02941d4127b0d130c1369880e4a8fb1e8762ac79706c8f36dbfa889edf45c85c
Homepage: https://cran.r-project.org/package=grateful
Description: CRAN Package 'grateful' (Facilitate Citation of R Packages)
 Facilitates the citation of R packages used in analysis projects. Scans
 project for packages used, gets their citations, and produces a document
 with citations in the preferred bibliography format, ready to be pasted into
 reports or manuscripts. Alternatively, 'grateful' can be used directly
 within an 'R Markdown' or 'Quarto' document.

Package: r-cran-grates
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastymd
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-vctrs, r-cran-rlang, r-cran-litedown, r-cran-outbreaks, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grates_1.5.0-1.ca2004.1_all.deb
Size: 404940
MD5sum: 59f4dc65c81360e22d1573d3663881f0
SHA1: c94e5ec5d23afaea7975635e1152aa89b461e55f
SHA256: 7ff40862df731593e9ab071cb7470cd9adae6b53a334369c00063120118e23c0
SHA512: 23aaf2dedd9bb43a9242841adc971cd94c3cb8fea3aa13f1612a53d413198fcf757e96a042eb80ea2cd8cea55e89c4af3cfe5d1a17f123af96269427cc1a02d0
Homepage: https://cran.r-project.org/package=grates
Description: CRAN Package 'grates' (Grouped Date Classes)
 Provides a coherent interface and implementation for creating grouped date
 classes.

Package: r-cran-gratia
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3217
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-ggplot2, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-patchwork, r-cran-vctrs, r-cran-mvnfast, r-cran-purrr, r-cran-stringr, r-cran-tidyselect, r-cran-lifecycle, r-cran-pillar, r-cran-cli, r-cran-nlme, r-cran-ggokabeito, r-cran-withr, r-cran-scales
Suggests: r-cran-gamm4, r-cran-lme4, r-cran-testthat, r-cran-vdiffr, r-cran-mass, r-cran-scam, r-cran-knitr, r-cran-rmarkdown, r-cran-forcats, r-cran-gjrm, r-cran-readr, r-cran-glmmtmb, r-cran-ggdist, r-cran-distributional, r-cran-hexbin, r-cran-gamair, r-cran-sf, r-cran-svglite, r-cran-curl, r-cran-marginaleffects
Filename: pool/dists/focal/main/r-cran-gratia_0.10.0-1.ca2004.1_all.deb
Size: 2629352
MD5sum: 5ebfe83aa2f6c8d87bc0da922391cd45
SHA1: b0516c0564adeffd0cec1eddf137cf000700df37
SHA256: 73b4e1fe8b45139839a64d32070b62da2a9c248906932e7813f32c9854ea9f5c
SHA512: f78e9eb806817128fe3052a706099b7e6099565e134a6fab902831fa595eec291a753ff2f185c7ae6ad1c0082a78479da03484b4e90b7e8e342810aa0374d172
Homepage: https://cran.r-project.org/package=gratia
Description: CRAN Package 'gratia' (Graceful 'ggplot'-Based Graphics and Other Functions for GAMsFitted Using 'mgcv')
 Graceful 'ggplot'-based graphics and utility functions for working with
 generalized additive models (GAMs) fitted using the 'mgcv' package. Provides
 a reimplementation of the plot() method for GAMs that 'mgcv' provides, as
 well as 'tidyverse' compatible representations of estimated smooths.

Package: r-cran-graticule
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-raster, r-cran-geosphere, r-cran-reproj
Suggests: r-cran-devtools, r-cran-knitr, r-cran-spex, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-graticule_0.4.0-1.ca2004.1_all.deb
Size: 333976
MD5sum: 1c1cb8b143bc77fe24efb68dc9e7ef1a
SHA1: 4a2eb1ee9a406e1862729b1e0302f19ab9eda343
SHA256: 027c96d7fe3b8a890f9a09f6b20e9ac3caa2b94fa04a8dda6cc49a349cdc974f
SHA512: 7d03a42d55049af22d37186477399e42f3c3b081670ac6455cd4d64e9a3dc80c32e07b32d081bbadbd0fa06b8ddd39f25ab746a645d440504b6f63ca3bd46d65
Homepage: https://cran.r-project.org/package=graticule
Description: CRAN Package 'graticule' (Meridional and Parallel Lines for Maps)
 Create graticule lines and labels for maps. Control the creation of lines or
 tiles by setting their placement (at particular meridians and parallels) and
 extent (along parallels and meridians). Labels are created independently of
 lines.

Package: r-cran-gratis
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 869
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dorng, r-cran-dplyr, r-cran-feasts, r-cran-fgarch, r-cran-foreach, r-cran-forecast, r-cran-ga, r-cran-generics, r-cran-magrittr, r-cran-mvtnorm, r-cran-polynom, r-cran-purrr, r-cran-shiny, r-cran-tibble, r-cran-tsfeatures, r-cran-tsibble
Suggests: r-cran-knitr, r-cran-rlang, r-cran-rmarkdown, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-gratis_1.0.7-1.ca2004.1_all.deb
Size: 647020
MD5sum: 67bcd2829b8c74260bdc49e106f86c08
SHA1: 6642e30757ceed9f63f1d3c52dac8b0cd3058bd7
SHA256: 18e5966b91ff9bf4b51f34fcd89eb5d03c820124402eec7263956d9a72337946
SHA512: 354dc014133695cbf3e8a14102e16b0e0c4fc67080ca9d0cb0ca1608d94954e7d7e0e52a248eab5fe068b7442264bdd4301637b0c126f78b5a35b5cb75a10c60
Homepage: https://cran.r-project.org/package=gratis
Description: CRAN Package 'gratis' (Generating Time Series with Diverse and ControllableCharacteristics)
 Generates synthetic time series based on various univariate time series
 models including MAR and ARIMA processes. Kang, Y., Hyndman, R.J., Li,
 F.(2020) <doi:10.1002/sam.11461>.

Package: r-cran-graven
Architecture: all
Version: 1.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-grain, r-cran-grbase, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-graven_1.1.10-1.ca2004.1_all.deb
Size: 88784
MD5sum: 1dd13f89ffb3312bc7dac188210d955f
SHA1: 0f1b8950180df9f1465808a71139860707595b4c
SHA256: f5a68b887bc69562332f445c9bd69b1760f96af46c3dd9d6473f0379fa102c75
SHA512: eeda91b78a94dbc4c6670f7bf0305a699fee0590f968dc8dd6be535a35a671fed19b077a7a13a66324afcfa5b4775ac6cb6defb7ad4545a7e2798bba71acc5f3
Homepage: https://cran.r-project.org/package=gRaven
Description: CRAN Package 'gRaven' (Bayes Nets: 'RHugin' Emulation with 'gRain')
 Wrappers for functions in the 'gRain' package to emulate some 'RHugin'
 functionality, allowing the building of Bayesian networks consisting on
 discrete chance nodes incrementally, through adding nodes, edges and
 conditional probability tables, the setting of evidence, both 'hard'
 (boolean) or 'soft' (likelihoods), querying marginal probabilities and
 normalizing constants, and generating sets of high-probability
 configurations. Computations will typically not be so fast as they are with
 'RHugin', but this package should assist users without access to 'Hugin' to
 use code written to use 'RHugin'.

Package: r-cran-gravitas
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3839
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsibble, r-cran-ggplot2, r-cran-lvplot, r-cran-ggridges, r-cran-shiny, r-cran-rcolorbrewer, r-cran-ineq, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-tsibbledata, r-cran-purrr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-gravitas_0.1.3-1.ca2004.1_all.deb
Size: 2506112
MD5sum: 1547cdd1b0e1d4021550f15d4d869bde
SHA1: d8c526ce6497a03553cda2e6cfc05fbb4e26cf54
SHA256: 10871530bbbf1ac3a6dc175745fb9391f5053b9d0f9fb2e41d36f7ba4229b6ed
SHA512: 5122def8eebaecc4a9e73ada1e28c2272433749ec96c1f28e82f7d892932553e73bce13c41e6350ec8cf73f0618dd29dd36d8467e12ced3c486509bc467717ed
Homepage: https://cran.r-project.org/package=gravitas
Description: CRAN Package 'gravitas' (Explore Probability Distributions for Bivariate TemporalGranularities)
 Provides tools for systematically exploring large quantities of temporal
 data across cyclic temporal granularities (deconstructions of time) by
 visualizing probability distributions.  Cyclic time granularities can be
 circular, quasi-circular or aperiodic. 'gravitas' computes cyclic
 single-order-up or multiple-order-up granularities, check the feasibility of
 creating plots for any two cyclic granularities and recommend probability
 distributions plots for exploring periodicity in the data.

Package: r-cran-gravity
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 905
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lmtest, r-cran-sandwich, r-cran-glm2, r-cran-mass, r-cran-censreg, r-cran-survival, r-cran-multiwayvcov, r-cran-tibble, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-broom
Filename: pool/dists/focal/main/r-cran-gravity_1.1-1.ca2004.1_all.deb
Size: 794016
MD5sum: 5e341e044ad2763a6ac4e52345ba67b6
SHA1: 5813147145fdfb1278940f21cf526d57fc6c6e01
SHA256: e0cf3bdd756bcf194130c39b268fd2fd8fb9b5016bb04b163640c24eb648b008
SHA512: 640343076fab34470508bbf2c9a3a4598e5e1c29221715cfc988cab247b23487196bb1a07d1ac67ee274507f6c9cab55a1bd2976c1544cf09a913b1d9e03a9b5
Homepage: https://cran.r-project.org/package=gravity
Description: CRAN Package 'gravity' (Estimation Methods for Gravity Models)
 A wrapper of different standard estimation methods for gravity models.  This
 package provides estimation methods for log-log models and multiplicative
 models.

Package: r-cran-gravityge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gravityge_1.0.0-1.ca2004.1_all.deb
Size: 16876
MD5sum: d1ec986ba6628c762dcd61998e1a2bd9
SHA1: a0066104e44b2c7f15606160ca5b05b02a4d5007
SHA256: dadbc3b2a11eb8367380a16168b2ba08ac44d6302309712dea03140c4c41adb8
SHA512: a548eb5cf9ef78c886868d6e17d51f1d87e7feb61250ad08442e8ef857dfb255ab904224b4c92e523c65ca64a3747a29dcc75f8bebc7ef8dfaa70e84cfb77095
Homepage: https://cran.r-project.org/package=gravityGE
Description: CRAN Package 'gravityGE' (One Sector Armington-CES Gravity Model with General Equilibrium)
 Implements a one-sector Armington-CES gravity model with general equilibrium
 (GE) effects. This model is designed to analyze international and domestic
 trade by capturing the impacts of trade costs and policy changes within a
 general equilibrium framework. Additionally, it includes a local parameter
 to run simulations on productivity. The package provides functions for
 calibration, simulation, and analysis of the model.

Package: r-cran-grcdata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nloptr, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-grcdata_1.0-1.ca2004.1_all.deb
Size: 52356
MD5sum: d70c2d8532c09812ca8c2510517fbd87
SHA1: 3dc6a3382815a4f544f123ebd0a11138dfff8609
SHA256: 6ac6582f8d2db9f89b3f2e990af4460379dd45e29059bad002adf38770233c10
SHA512: 57e69ad4436504345955829d5692692028f4d8c2cebf36810b2302a37c5cc55a3ebe8ebf3638a5879962161567584f3006ce47e8985dc1eec46e07de6eeaba19
Homepage: https://cran.r-project.org/package=GRCdata
Description: CRAN Package 'GRCdata' (Parameter Inference and Optimal Designs for Grouped and/orRight-Censored Count Data)
 We implement two main functions.  The first function uses a given grouped
 and/or right-censored grouping scheme and empirical data to infer
 parameters, and implements chi-square goodness-of-fit tests.  The second
 function searches for the global optimal grouping scheme of grouped and/or
 right-censored count responses in surveys.

Package: r-cran-grcdesigns
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grcdesigns_1.0.0-1.ca2004.1_all.deb
Size: 39708
MD5sum: c6babaea41b7d9f5248e67e04f4fac0a
SHA1: cdb657ed324494e032d9191a026b9596f615744a
SHA256: 705131a1d630c3f124232bcf01109c4293e55b9d55f284d7a725e204a762c48e
SHA512: cbc35b8b6da8b4ca26fbbd932443725a52ecdf3e17584a5ae08d034b8dc364966b900543c58816a63578b3af1da07f045cf0b3160434044cd6bb1a87db0d1671
Homepage: https://cran.r-project.org/package=GRCdesigns
Description: CRAN Package 'GRCdesigns' (Generalized Row-Column Designs)
 When the number of treatments is large with limited experimental resources
 then Row-Column(RC) designs with multiple units per cell can be used. These
 designs are called Generalized Row-Column (GRC) designs and are defined as
 designs with v treatments in p rows and q columns such that the intersection
 of each row and column (cell) consists of k experimental units. For example
 (Bailey & Monod (2001)<doi:10.1111/1467-9469.00235>), to conduct an
 experiment for comparing 4 treatments using 4 plants with leaves at 2
 different heights row-column design with two units per cell can be used. A
 GRC design is said to be structurally complete if corresponding to the
 intersection of each row and column, there appears at least two treatments.
 A GRC design is said to be structurally incomplete if corresponding to the
 intersection of any row and column, there is at least one cell which does
 not contain any treatment.

Package: r-cran-grcregression
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-grcregression_1.0-1.ca2004.1_all.deb
Size: 54792
MD5sum: eb6d8556a7901a80710a40933501fd56
SHA1: fba2da548714cf78c41c2a0fe8ab12143cdbcaf8
SHA256: eeb2d627de79eb84fd2cd50c5e5a94feb02a56731df9c286947ac3972edcd8e6
SHA512: 935335619f797ca186b8d28ec15887764d000c03c5be431a2a37886d91a19b8734509873a66624a750dad8da90b72a2018743b29e87be3ba54c76976d9ded563
Homepage: https://cran.r-project.org/package=GRCRegression
Description: CRAN Package 'GRCRegression' (Modified Poisson Regression of Grouped and Right-Censored Counts)
 Implement maximum likelihood estimation for Poisson generalized linear
 models with grouped and right-censored count data. Intended to be used for
 analyzing grouped and right-censored data, which is widely applied in many
 branches of social sciences. The algorithm implemented is described in Fu et
 al., (2021) <doi:10.1111/rssa.12678>.

Package: r-cran-greatr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1909
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-neldermead, r-cran-optimization, r-cran-patchwork, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-greatr_2.0.0-1.ca2004.1_all.deb
Size: 786144
MD5sum: 376151e1f8c959af78a7c46cc229e3f7
SHA1: 3029997bbe19d90cfb26660f2a5bd90581c9bcae
SHA256: 2d2abfc735ed9d47cd80db16085f5b0616c1b66c2425f2ab1dfa4fb801eb6599
SHA512: 205739e1e4bdad210e6c20c4fb15f6e7d7aad40fff5131ae0c68ceafbf47198df4360f26ee8a633f8bfba9a4ce8a3b50cc454adeef8c4eafa6463153b82acc5e
Homepage: https://cran.r-project.org/package=greatR
Description: CRAN Package 'greatR' (Gene Registration from Expression and Time-Courses in R)
 A tool for registering (aligning) gene expression profiles between reference
 and query data.

Package: r-cran-grec
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3691
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-imagine, r-cran-raster, r-cran-terra, r-cran-abind, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-grec_1.6.1-1.ca2004.1_all.deb
Size: 3683448
MD5sum: a1a5edec136b8d690b0debb108462f33
SHA1: 133212d38b3da33bd7d24e097a8229c732566264
SHA256: a0021c94409f26b3640b8038f0cfa4b5f871118890d5fccf7289dc22c4cec2a7
SHA512: eba7fe52e56abe764509a86c8ade4a9478cd301ed62f7e5f8b76f7a9e46ea9cef4d8d96ebc269824afb5060f6630c7e48c46a1ae27c971c3662a7b02a80254e0
Homepage: https://cran.r-project.org/package=grec
Description: CRAN Package 'grec' (Gradient-Based Recognition of Spatial Patterns in EnvironmentalData)
 Provides algorithms for detection of spatial patterns from oceanographic
 data using image processing methods based on Gradient Recognition.

Package: r-cran-greedyexperimentaldesignjars
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-greedyexperimentaldesignjars_1.0-1.ca2004.1_all.deb
Size: 598620
MD5sum: 5abfc5a548fda22d0f0cdc1cd570a2d3
SHA1: d1b16e67f8e79d1dc5348674b0712aba860e4adb
SHA256: 8c41fe3770ca33248f7a95574dc01f6d6d43b52e7d05f401017cc562a15e7418
SHA512: 60a67fbc9ffb2ec27c3afa3e8fcb934b1f855c6983b3e5cf97b32503e82dcaeab37b521f9a2fab237745c47643ec06a51f084205b8e5030b8e250eb5380daee5
Homepage: https://cran.r-project.org/package=GreedyExperimentalDesignJARs
Description: CRAN Package 'GreedyExperimentalDesignJARs' (GreedyExperimentalDesign JARs)
 These are GreedyExperimentalDesign Java dependency libraries. Note: this
 package has no functionality of its own and should not be installed as a
 standalone package without GreedyExperimentalDesign.

Package: r-cran-greekletters
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-assertthat
Suggests: r-cran-clisymbols, r-cran-swirlify, r-cran-swirl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-greekletters_1.0.4-1.ca2004.1_all.deb
Size: 32688
MD5sum: 27da3a6204b4324c2b2ec7647dd70f55
SHA1: 394eb25c35c8904a4f19fbdb7028612f65759cf3
SHA256: 15b2ce51cbde9df4fd9cba3c8e59ebd278ee9a88f9fa855b95367754c461f5bf
SHA512: f9769e8e1e5f5f0a642c990c4ff98a4906d589bc701c7762f0a7d07f2e688ab0769b3a9fc90fe6dae9fa4991bba43c9e044c43e438af2526bb925024d9aafedd
Homepage: https://cran.r-project.org/package=greekLetters
Description: CRAN Package 'greekLetters' (Routines for Writing Greek Letters and Mathematical Symbols onthe 'RStudio' and 'RGui')
 An implementation of functions to display Greek letters on the 'RStudio'
 (include subscript and superscript indexes) and 'RGui' (without subscripts
 and only with superscript 1, 2 or 3; because 'RGui' doesn't support printing
 the corresponding Unicode characters as a string: all subscripts ranging
 from 0 to 9 and superscripts equal to 0, 4, 5, 6, 7, 8 or 9). The functions
 in this package do not work properly on the R console. Characters are used
 via Unicode and encoded as UTF-8 to ensure that they can be viewed on all
 operating systems. Other characters related to mathematics are included,
 such as the infinity symbol. All this accessible from very simple commands.
 This is a package that can be used for teaching purposes, the statistical
 notation for hypothesis testing can be written from this package and so it
 is possible to build a course from the 'swirlify' package. Another utility
 of this package is to create new summary functions that contain the
 functional form of the model adjusted with the Greek letters, thus making
 the transition from statistical theory to practice easier. In addition, it
 is a natural extension of the 'clisymbols' package.

Package: r-cran-greenclust
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-greenclust_1.1.1-1.ca2004.1_all.deb
Size: 159128
MD5sum: 57f59f2fe99fda8c250280269780bcec
SHA1: b757cccd89e95042e92749c86dc2f7a386ebcdc9
SHA256: 2a763861e4db66430ffcb58e2f07be35cc5da2858e15acb3be97f2e7de505dba
SHA512: 4ef4d8820e0410eb1173474159029e1604c9361cefbe30e705067c6ed4848a91b8f211bea36b6ae32abba932002ce7350b1e5354a33ca2e3b244c2ec34b05339
Homepage: https://cran.r-project.org/package=greenclust
Description: CRAN Package 'greenclust' (Combine Categories Using Greenacre's Method)
 Implements a method of iteratively collapsing the rows of a contingency
 table, two at a time, by selecting the pair of categories whose combination
 yields a new table with the smallest loss of chi-squared, as described by
 Greenacre, M.J. (1988) <doi:10.1007/BF01901670>. The result is compatible
 with the class of object returned by the 'stats' package's hclust() function
 and can be used similarly (plotted as a dendrogram, cut, etc.). Additional
 functions are provided for automatic cutting and diagnostic plotting.

Package: r-cran-greener
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2397
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fme, r-cran-data.table, r-cran-reshape2, r-cran-ggplot2, r-cran-sf, r-cran-dplyr, r-cran-magrittr, r-cran-tmap, r-cran-gridextra, r-cran-tidyselect, r-cran-classint, r-cran-networkd3, r-cran-parallelly
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-codetools
Filename: pool/dists/focal/main/r-cran-greener_1.0.0-1.ca2004.1_all.deb
Size: 1654508
MD5sum: ee067525ea3c0f7ede34f7eda4baa264
SHA1: 904007e88fd190a1bc5dc944fa13573d275cc641
SHA256: 8d153a9a0bf3b6306ffcdfbd7f9b106635716a8438476b19cd0f21762d8d1707
SHA512: 81a8eff1cc75f5477138792ed48c1aa19f7132f75deac9428a81c3bc652a0d4839cf7a3f8a9f0518e839d8f45670849a0351a60d50d2f6657df52d1a357f5d3b
Homepage: https://cran.r-project.org/package=GREENeR
Description: CRAN Package 'GREENeR' (Geospatial Regression Equation for European Nutrient Losses(GREEN))
 Tools and methods to apply the model Geospatial Regression Equation for
 European Nutrient losses (GREEN); Grizzetti et al. (2005)
 <doi:10.1016/j.jhydrol.2004.07.036>; Grizzetti et al. (2008); Grizzetti et
 al. (2012) <doi:10.1111/j.1365-2486.2011.02576.x>; Grizzetti et al. (2021)
 <doi:10.1016/j.gloenvcha.2021.102281>.

Package: r-cran-greenfeedr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2683
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-greenfeedr_1.2.1-1.ca2004.1_all.deb
Size: 1770232
MD5sum: 7e16240e60fb73b7cae611a44e184579
SHA1: 52601caeedfec0ce403e2fe5ca97a0f388f80895
SHA256: 0be464329fbcf16f312e81decd43831826a7374bb6f6960ab9499de18ba63c49
SHA512: 009a2eb59c70932e1e34e51c2179314d21a8eb56cbb2541dfb7ed49e987944f68404a2b35393435cf81340a8c03dbc081d3ae10c7a1661efa709aaa7ef177d4e
Homepage: https://cran.r-project.org/package=greenfeedr
Description: CRAN Package 'greenfeedr' (Process and Report 'GreenFeed' Data)
 Provides tools for downloading, processing, and reporting daily and
 finalized 'GreenFeed' data.

Package: r-cran-greenr
Architecture: all
Version: 0.0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dt, r-cran-httr, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-sf, r-cran-htmltools, r-cran-leaflet, r-cran-osmdata, r-cran-shiny, r-cran-tibble, r-cran-superpixelimagesegmentation, r-cran-openimager, r-cran-osrm, r-cran-spatstat.geom, r-cran-units, r-cran-duckdb, r-cran-dbi, r-cran-data.table, r-cran-rcolorbrewer, r-cran-htmlwidgets, r-cran-viridislite, r-cran-rstudioapi, r-cran-jsonlite, r-cran-tmap, r-cran-mapview, r-cran-terra, r-cran-curl, r-cran-igraph, r-cran-purrr, r-cran-sfnetworks, r-cran-patchwork, r-cran-h3jsr, r-cran-classint, r-cran-moments, r-cran-ineq, r-cran-progress, r-cran-viridis
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-greenr_0.0.1.3-1.ca2004.1_all.deb
Size: 248980
MD5sum: 582c006ec365c5f0a8b2a45dcf0192ab
SHA1: 46e272c9dd02e4eaf1a15e34013a81b593648028
SHA256: 56e567add69b8135690380bd540d7c87fb6fc626389cb53a2e940b01d6fc449d
SHA512: bd633ed5a33fc33d7c2403567aa51e4f67c489b249c08fef88721a20d95ea70b13ca7e812e52a7777d6e99d749cb99bd454cc9ad2984e90fee1e8a77d288bdba
Homepage: https://cran.r-project.org/package=greenR
Description: CRAN Package 'greenR' (Green Index Quantification, Analysis and Visualization)
 Quantification, analysis, and visualization of urban greenness within city
 networks using data from 'OpenStreetMap' <https://www.openstreetmap.org>.

Package: r-cran-greg
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 653
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gmisc, r-cran-forestplot, r-cran-broom, r-cran-epi, r-cran-dplyr, r-cran-glue, r-cran-htmltable, r-cran-hmisc, r-cran-knitr, r-cran-nlme, r-cran-purrr, r-cran-rlang, r-cran-rms, r-cran-sandwich, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-boot, r-cran-testthat, r-cran-cmprsk, r-cran-survival, r-cran-ggplot2, r-cran-rmarkdown, r-cran-rmeta, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-greg_2.0.2-1.ca2004.1_all.deb
Size: 436416
MD5sum: a25bf9e585a7fe191b102127c1eb893c
SHA1: b09c5cb370e5df67f9055ec87fdad93c45ba5ba0
SHA256: 7fe9d16de14b0a066e7b82d7e360b5d33b386eb99fd6cadeb4ffe9f996ddb4b8
SHA512: e5db62598afd42f72ad82e50ae669253ee9127911456c0a637d5fb374f6d240d7fed0fd2626cd05d710ea7b6d833f3b50d74bbd083280af08dbba50f5d2525ee
Homepage: https://cran.r-project.org/package=Greg
Description: CRAN Package 'Greg' (Regression Helper Functions)
 Methods for manipulating regression models and for describing these in a
 style adapted for medical journals.  Contains functions for generating an
 HTML table with crude and adjusted estimates, plotting hazard ratio,
 plotting model estimates and confidence intervals using forest plots,
 extending this to comparing multiple models in a single forest plots.  In
 addition to the descriptive methods, there are functions for the robust
 covariance matrix provided by the 'sandwich' package, a function for adding
 non-linearities to a model, and a wrapper around the 'Epi' package's Lexis()
 functions for time-splitting a dataset when modeling non-proportional
 hazards in Cox regressions.

Package: r-cran-gregoryquadrature
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gregoryquadrature_1.0.0-1.ca2004.1_all.deb
Size: 16908
MD5sum: 363b81aaf39f625a8830905722c21f9f
SHA1: a2db1d3ea5a080decee1243a7d80cca14e147954
SHA256: 244e814e39460bcc0a5f2f3b02f9640126125f16a422c67f5f3252621e9a3611
SHA512: 7db30df051896a597fabe581c28213a011258f88fd26884f4d733d753c08b708ecc43a971db3be4379e278f65351cbd8bd50ee72f7e727fe107bf049ec47d365
Homepage: https://cran.r-project.org/package=GregoryQuadrature
Description: CRAN Package 'GregoryQuadrature' (Gregory Weights for Function Integration)
 Computes Gregory weights for a given number nodes and function order.
 Anthony Ralston and Philip Rabinowitz (2001) <ISBN:9780486414546>.

Package: r-cran-gregry
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gregry_0.1.0-1.ca2004.1_all.deb
Size: 44584
MD5sum: 21a6c8f1d438451779e949d0502198be
SHA1: 8d73ef2db403022c7e6a1f39b15e01049db5134b
SHA256: b1435bd19016dfd6814d6915260160fd216de86f9af4ae64b92e669d9760605b
SHA512: e17b053c2795588e6e748ce0b59f333234f487f30dc1f8d67ffa5cdc5b3702b79690ae0bd736160acf5f391f23f6460e8f5e8fa68dfbc8b0b9a67e0878b2f414
Homepage: https://cran.r-project.org/package=gregRy
Description: CRAN Package 'gregRy' (GREGORY Estimation)
 Functions which make using the Generalized Regression Estimator(GREG) J.N.K.
 Rao, Isabel Molina, (2015) <doi:10.3390/f11020244> and the Generalized
 Regression Estimator Operating on Resolutions of Y (GREGORY) easier.  The
 functions are designed to work well within a forestry context, and estimate
 multiple estimation units at once. Compared to other survey estimation
 packages, this function has greater flexibility when describing the linear
 model.

Package: r-cran-grelevance
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-mass, r-cran-philentropy
Filename: pool/dists/focal/main/r-cran-grelevance_1.0-1.ca2004.1_all.deb
Size: 34140
MD5sum: d18d27b0d1cdd4ed66e500d66fa5c8d2
SHA1: 11c54778679eb7a7ed17fa3479ec14ab4d9c6886
SHA256: 89abd7c992fdcbda6e5c5e767f6a677dbecfb9b4af1b0cdcb8d0b40588723e08
SHA512: 081135e0e8795bfa00abc09a1a467b91f0882fcad7957c4b98e2e791ef0803647ac1871f568b4362249b166988193eeeac01618ff12501d47d01cac29e4970da
Homepage: https://cran.r-project.org/package=GRelevance
Description: CRAN Package 'GRelevance' (Graph-Based k-Sample Comparisons and Relevance Analysis in HighDimensions)
 We propose two distribution-free test statistics based on between-sample
 edge counts and measure the degree of relevance by standardized counts.
 Users can set edge costs in the graph to compare the parameters of the
 distributions. Methods for comparing distributions are as described in:
 Xiaoping Shi (2021) <arXiv:2107.00728>.

Package: r-cran-gremes
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-abind, r-cran-copula, r-cran-quadprog, r-cran-mvtnorm, r-cran-mev
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-corrplot, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gremes_0.1.1-1.ca2004.1_all.deb
Size: 428012
MD5sum: 7fdf089762cfd06c331217b9d5212d42
SHA1: 52676ed006a9eba3b969b4debb78f38e1bce783b
SHA256: 3b89aa2545967310e04da4905c7b263fd47f8d1e6ae8815261cdd2a4d0125cd6
SHA512: 59a9f2befe56029b1a6e20b2353f183b17933dbf0c261096307aa6b57eb7bef33e963b0fbdec2a26f4ba10fa1d964e0b4896de9ec3592b7cf026d85e2d2715f9
Homepage: https://cran.r-project.org/package=gremes
Description: CRAN Package 'gremes' (Estimation of Tail Dependence in Graphical Models)
 Provides tools for estimation of edge weights on graphical models with
 respect to trees and block graphs and parameterized by a particular family
 of max-stable copulas. The edge weights are parameters of tail dependence
 between adjacent variables and these edge weights determine the joint tail
 dependence between all variables in the context of a particular parametric
 model. For methods of moment estimator, composite likelihood estimator
 please see Asenova et al. (2021) <doi:10.1007/s10687-021-00407-5>. For
 estimation based on extremal coefficients see Asenova et al. (2021) as well
 as Einmahl et al. (2016) <doi:10.2139/ssrn.2717531>. For cliquewise
 estimation please see Engelke and Hitz (2020) <doi:10.1111/rssb.12355>.

Package: r-cran-gremlins
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-igraph, r-cran-blockmodels, r-cran-aricode, r-cran-pbmcapply
Suggests: r-cran-testthat, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gremlins_0.2.1-1.ca2004.1_all.deb
Size: 211316
MD5sum: 5f6ccad0f0894d4afa768f340cf1d790
SHA1: af98ae7c029ee38583efac3ad618555bd3aeb009
SHA256: 229c703eeeec601771502e30d3d082912f00be8950449063e9ed591f09274f15
SHA512: 78e61760b68da86e8ac01a45823cb8ae525a525b6f76fada2aece81c1ec6cd42060193c3ae3a80db432b0f5bb594828f8fda5ba80d02e41649bf93b2b0b781da
Homepage: https://cran.r-project.org/package=GREMLINS
Description: CRAN Package 'GREMLINS' (Generalized Multipartite Networks)
 We define generalized multipartite networks as the joint observation of
 several networks implying some common pre-specified groups of individuals.
 The aim is to fit an adapted version of the popular stochastic block model
 to multipartite networks, as described in Bar-hen, Barbillon and Donnet
 (2020) <arXiv:1807.10138>.

Package: r-cran-greport
Architecture: all
Version: 0.7-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hmisc, r-cran-rms, r-cran-lattice, r-cran-latticeextra, r-cran-ggplot2, r-cran-formula, r-cran-survival, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-greport_0.7-4-1.ca2004.1_all.deb
Size: 342860
MD5sum: d36fbbeb4e72dcedd237a7ab7a1053c2
SHA1: 2835fd2dac14108cfbc021cd52af4b1aa43a8f95
SHA256: 176a199f9f4cc2edc3418e302736e4e572c8f427674bcff2ef888a151b1bbc79
SHA512: 7275f5bf5d49c60c3318ab905e7334ce24b76e67ddeb2180fd18960efb27556c7e69181702777c61f5a1c67b6c853994ef706393a7b15709953a08332e2f3723
Homepage: https://cran.r-project.org/package=greport
Description: CRAN Package 'greport' (Graphical Reporting for Clinical Trials)
 Contains many functions useful for monitoring and reporting the results of
 clinical trials and other experiments in which treatments are compared.
 LaTeX is used to typeset the resulting reports, recommended to be in the
 context of 'knitr'. The 'Hmisc', 'ggplot2', and 'lattice' packages are used
 by 'greport' for high-level graphics.

Package: r-cran-greta.censored
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-greta, r-cran-glue, r-cran-reticulate, r-cran-tensorflow
Suggests: r-cran-devtools, r-cran-vgam, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-styler, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-greta.censored_0.1.0-1.ca2004.1_all.deb
Size: 227044
MD5sum: 961b254f72a83cb208a65e41725497eb
SHA1: de246e344758d1f15569dc32188a3b8d5a8247f1
SHA256: c4eb3a2c4d5547850df02482b78fb891723f7d4060a0478acb46b57718622433
SHA512: cbccd942eab25585c9483e01b3b4e9ff40ee9a85ac880c20c98521a68bda0d3bf3fc32ef72a7b7f8f58134e0c6d7d26d731ef588b56a26f05ed8af3b1440b8d9
Homepage: https://cran.r-project.org/package=greta.censored
Description: CRAN Package 'greta.censored' (Censored Distributions for 'greta')
 Provides additional censored distributions for use with 'greta', a
 probabilistic programming framework for Bayesian modeling. Includes censored
 versions of Normal, Log-Normal, Student's T, Gamma, Exponential, Weibull,
 Pareto, and Beta distributions with support for right, left, and interval
 censoring. For details on 'greta', see Golding (2019)
 <doi:10.21105/joss.01601>. The methods are implemented using 'TensorFlow'
 and 'TensorFlow Probability' for efficient computation.

Package: r-cran-greta.dynamics
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-greta, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-tensorflow
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-desolve, r-cran-abind
Filename: pool/dists/focal/main/r-cran-greta.dynamics_0.2.2-1.ca2004.1_all.deb
Size: 198924
MD5sum: c8461c985bba204b5035052672976379
SHA1: 7ce55cd37b08c4a2e1a7dcbb0ac11b7b391153b8
SHA256: 6a00da31d55ef940d68eaa06cec1a7cee81d42ef948aba318dcc6b06d0a553a0
SHA512: 9957958a96db95bccef0ecda3363a4b0575f85549bc95e88952ddda5891c9c6743cf87cb1ef14d98a14bfb6fa84f1899371011ee647edff2135a5e3d77dbc236
Homepage: https://cran.r-project.org/package=greta.dynamics
Description: CRAN Package 'greta.dynamics' (Modelling Structured Dynamical Systems in 'greta')
 A 'greta' extension for analysing transition matrices and ordinary
 differential equations representing dynamical systems. Provides functions
 for analysing transition matrices by iteration, and solving ordinary
 differential equations. This is an extension to the 'greta' software,
 Golding (2019) <doi:10.21105/joss.01601>.

Package: r-cran-greta.gam
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-greta, r-cran-cli, r-cran-mgcv, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-greta.gam_0.2.0-1.ca2004.1_all.deb
Size: 340032
MD5sum: 95b7b3fc1092e1bc389b3a352404eed2
SHA1: 6da234531e9a3f2b7654330ead2d9bb428470463
SHA256: 6f9fbd31484e85c20623c037246f9336a68751f8a7ff5918d17882a8360d70fe
SHA512: 566f8e5ebee79b074b30b2c7332f36de9c7ea6282a2025d7477c8272fc005f388fc53037d2a80de3f3c2f196ecefde63553c81a6305eae8c0fa2932d1a4e06f5
Homepage: https://cran.r-project.org/package=greta.gam
Description: CRAN Package 'greta.gam' (Generalised Additive Models in 'greta' using 'mgcv')
 A 'greta' (Golding (2019) <doi:10.21105/joss.01601>) module that lets you
 use 'mgcv' smoother functions and formula syntax to define smooth terms for
 use in a 'greta' model. You can then define your own likelihood to complete
 the model, and fit it by Markov Chain Monte Carlo (MCMC).

Package: r-cran-greta.gp
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-greta, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-tensorflow
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-greta.gp_0.2.2-1.ca2004.1_all.deb
Size: 1960896
MD5sum: df9461dd4584204cfec455ba45cee5d8
SHA1: 55c5f30db2ed68612bb9b06e496d0c1388007190
SHA256: b529a2227b18cbe9e47024e4411055efd65324ea2e0e0e7d8127200a0a5242c3
SHA512: 5d041237fc1dd067b301c425e4aaf2f86d34ffaccd5b3d9bd55f383e8b5ed92715ce684ee16068ee4edf9c260e96c34958d5594b9034b936d3c2ba28cc400a6d
Homepage: https://cran.r-project.org/package=greta.gp
Description: CRAN Package 'greta.gp' (Gaussian Process Modelling in 'greta')
 Provides a syntax to create and combine Gaussian process kernels in 'greta'.
 You can then them to define either full rank or sparse Gaussian processes.
 This is an extension to the 'greta' software, Golding (2019)
 <doi:10.21105/joss.01601>.

Package: r-cran-greta
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-callr, r-cran-cli, r-cran-coda, r-cran-future, r-cran-glue, r-cran-parallelly, r-cran-progress, r-cran-r6, r-cran-reticulate, r-cran-rlang, r-cran-tensorflow, r-cran-whisker, r-cran-yesno
Suggests: r-cran-bayesplot, r-cran-covr, r-cran-cramer, r-cran-diagrammer, r-cran-dplyr, r-cran-diagrammersvg, r-cran-extradistr, r-cran-fields, r-cran-ggplot2, r-cran-knitr, r-cran-lattice, r-cran-mass, r-cran-mcmcpack, r-cran-mockery, r-cran-mvtnorm, r-cran-purrr, r-cran-rmarkdown, r-cran-rmutil, r-cran-rsvg, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-truncdist, r-cran-withr, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-greta_0.5.0-1.ca2004.1_all.deb
Size: 2185180
MD5sum: 054199dada96b1952f99a62c4b0d5db8
SHA1: da3fb04345bce001a03189383fa35e51bca5e5f6
SHA256: 5f861d818b1809ef0f88c9d7bc4d78c32a388d58079df32fa42924e3301440bd
SHA512: f959fb7e5c52a53a02677c27637370312a0d05098452eb7d58b03ed018bc2fe703995d6cc3e01c8d8401141e5e4de3dfd8acc4ece1813d1acd56bbad02a42217
Homepage: https://cran.r-project.org/package=greta
Description: CRAN Package 'greta' (Simple and Scalable Statistical Modelling in R)
 Write statistical models in R and fit them by MCMC and optimisation on CPUs
 and GPUs, using Google 'TensorFlow'.  greta lets you write your own model
 like in BUGS, JAGS and Stan, except that you write models right in R, it
 scales well to massive datasets, and it’s easy to extend and build on.  See
 the website for more information, including tutorials, examples, package
 documentation, and the greta forum.

Package: r-cran-gretlr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-gretlr_0.1.4-1.ca2004.1_all.deb
Size: 409884
MD5sum: 0d836b19da813c7b299cff79918ace77
SHA1: 79a412bee4ca6bfa9b6b723bd5717f574168a995
SHA256: 1800b2be83dd5f891a9a62d5dc1525ad8f0f1dbc03b89b67d5e5b0af6fb06c7f
SHA512: 636659cb25278f862ae6a8f1e25fbad948bbe6bc71978595f00e5f8ce406d4863085fe83d838649fce17913c9fa585103d8e635f24e62cf74212e5d5f88920ea
Homepage: https://cran.r-project.org/package=gretlR
Description: CRAN Package 'gretlR' (A Seamless Integration of 'Gretl' and 'R')
 It allows running 'gretl' (<http://gretl.sourceforge.net/index.html>)
 program from R, R Markdown and Quarto. 'gretl' ('Gnu' Regression,
 'Econometrics', and Time-series Library) is a statistical software for
 Econometric analysis.  This package does not only integrate 'gretl' and 'R'
 but also serves as a 'gretl' Knit-Engine for 'knitr' package. Write all your
 'gretl' commands in 'R', R Markdown chunk.

Package: r-cran-grex
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2044
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grex_1.9-1.ca2004.1_all.deb
Size: 1538488
MD5sum: e6962cb223fb7162e69c52a63091c471
SHA1: ea6e42891689890bcf2bfe32ae874779f6edb1f3
SHA256: 8ff5b35c5a805237c7149a0458e39d72aa8f04e5b5fa33538c1382d9e4d24b5c
SHA512: 3021935257b8036d62281190b925147be9a9bda35ade47b3e18f1c8b2c105cf5884629470dabb617ed56e4efdcef7a7716e0b9b1ed15e979f8c7647a19332af3
Homepage: https://cran.r-project.org/package=grex
Description: CRAN Package 'grex' (Gene ID Mapping for Genotype-Tissue Expression (GTEx) Data)
 Convert 'Ensembl' gene identifiers from Genotype-Tissue Expression (GTEx)
 data to identifiers in other annotation systems, including 'Entrez', 'HGNC',
 and 'UniProt'.

Package: r-cran-greymodel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-greymodel_0.1.0-1.ca2004.1_all.deb
Size: 18676
MD5sum: a82ba0c433533dd40cf1fc9c827f3bc5
SHA1: ad8fbc3a48d4b688c4e05376d78eb44e84db7265
SHA256: 9c53c9eb41ad01c5d8a99ee24c415d577d9121c31d131d74c9362d845a241ff2
SHA512: 291c8b8cc6b4d1ed777527b6116704c34887b73e36363c61f6944c434eb0785cfd9046db4e427e7d837007d65d0318639f7f8fefa21caefb16620bb92be21fcd
Homepage: https://cran.r-project.org/package=GreyModel
Description: CRAN Package 'GreyModel' (Fitting and Forecasting of Grey Model)
 Testing, Implementation and Forecasting of Grey Model (GM(1, 1)). For method
 details see Hsu, L. and Wang, C. (2007).
 <doi:10.1016/j.techfore.2006.02.005>.

Package: r-cran-greymodels
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-metrics, r-cran-cmna, r-cran-plotly, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-ggplot2, r-cran-readxl, r-cran-particle.swarm.optimisation, r-cran-scales, r-cran-expm
Filename: pool/dists/focal/main/r-cran-greymodels_2.0.1-1.ca2004.1_all.deb
Size: 379692
MD5sum: 38aa3f485c8433c0fe2fa10d885069b7
SHA1: 394c39ea646900dc20bff1e19ffd3394d5eae12e
SHA256: 68e72dac56663d260280ffae1283449a35ca0196bd2a7be2369524b54d5c2adc
SHA512: 77113e8b54af8b68dc7f8da2ab937bceba253633bb3714530dcc3b58c4a8b2cbfb3d75492140bd5d043cd4a8f006437a6e9b750a67f93709bea59617c7750ae6
Homepage: https://cran.r-project.org/package=Greymodels
Description: CRAN Package 'Greymodels' (Shiny App for Grey Forecasting Model)
 The 'Greymodels' Shiny app is an interactive interface for statistical
 modelling and forecasting using grey-based models. It covers several
 state-of-the-art univariate and multivariate grey models. A user friendly
 interface allows users to easily compare the performance of different models
 for prediction and among others, visualize graphical plots of predicted
 values within user chosen confidence intervals. Chang, C. (2019)
 <doi:10.24818/18423264/53.1.19.11>, Li, K., Zhang, T. (2019)
 <doi:10.1007/s12667-019-00344-0>, Ou, S. (2012)
 <doi:10.1016/j.compag.2012.03.007>, Li, S., Zhou, M., Meng, W., Zhou, W.
 (2019) <doi:10.1080/23307706.2019.1666310>, Xie, N., Liu, S. (2009)
 <doi:10.1016/j.apm.2008.01.011>, Shao, Y., Su, H. (2012)
 <doi:10.1016/j.aasri.2012.06.003>, Xie, N., Liu, S., Yang, Y., Yuan, C.
 (2013) <doi:10.1016/j.apm.2012.10.037>, Li, S., Miao, Y., Li, G., Ikram, M.
 (2020) <doi:10.1016/j.matcom.2019.12.020>, Che, X., Luo, Y., He, Z. (2013)
 <doi:10.4028/www.scientific.net/AMM.364.207>, Zhu, J., Xu, Y., Leng, H.,
 Tang, H., Gong, H., Zhang, Z. (2016) <doi:10.1109/appeec.2016.7779929>, Luo,
 Y., Liao, D. (2012) <doi:10.4028/www.scientific.net/AMR.507.265>, Bilgil, H.
 (2020) <doi:10.3934/math.2021091>, Li, D., Chang, C., Chen, W., Chen, C.
 (2011) <doi:10.1016/j.apm.2011.04.006>, Chen, C. (2008)
 <doi:10.1016/j.chaos.2006.08.024>, Zhou, W., Pei, L. (2020)
 <doi:10.1007/s00500-019-04248-0>, Xiao, X., Duan, H. (2020)
 <doi:10.1016/j.engappai.2019.103350>, Xu, N., Dang, Y. (2015)
 <doi:10.1155/2015/606707>, Chen, P., Yu, H.(2014) <doi:10.1155/2014/242809>,
 Zeng, B., Li, S., Meng, W., Zhang, D. (2019)
 <doi:10.1371/journal.pone.0221333>, Liu, L., Wu, L. (2021)
 <doi:10.1016/j.apm.2020.08.080>, Hu, Y. (2020)
 <doi:10.1007/s00500-020-04765-3>, Zhou, P., Ang, B., Poh, K. (2006)
 <doi:10.1016/j.energy.2005.12.002>, Cheng, M., Li, J., Liu, Y., Liu, B.
 (2020) <doi:10.3390/su12020698>, Wang, H., Wang, P., Senel, M., Li, T.
 (2019) <doi:10.1155/2019/9049815>, Ding, S., Li, R. (2020)
 <doi:10.1155/2020/4564653>, Zeng, B., Li, C. (2018)
 <doi:10.1016/j.cie.2018.02.042>, Xie, N., Liu, S. (2015)
 <doi:10.1109/JSEE.2015.00013>, Zeng, X., Yan, S., He, F., Shi, Y. (2019)
 <doi:10.1016/j.apm.2019.11.032>.

Package: r-cran-greyzones
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-irrcac
Filename: pool/dists/focal/main/r-cran-greyzones_0.0.5-1.ca2004.1_all.deb
Size: 15912
MD5sum: 9cda1087b63147d735a817d624721426
SHA1: 6ea54fa140dfb10a304f13450365c1c3af144d22
SHA256: 07d26a469495c869aba085796ed374911b24820d321a80ff9cc2e340a37b88ab
SHA512: cdc8021d8ffb9657bfd05fe0b6935e9d2dbdbd686d8360e060eef6b844a8c7c17eb6b009e4ec320343dca178da5b716425f8fd8e6ac945ea71e740fc06f9b40b
Homepage: https://cran.r-project.org/package=GreyZones
Description: CRAN Package 'GreyZones' (Detection of Grey Zones in Two-Way Inter-Rater Agreement Tables)
 Grey zones locally occur in an agreement table due to the subjective
 evaluation of raters based on various factors such as not having uniform
 guidelines, the differences between the raters' level of expertise or low
 variability among the level of the categorical variable. It is important to
 detect grey zones since they cause a negative bias in the estimate of the
 agreement level. This package provides a function for detecting the
 existence of grey zones in two-way inter-rater agreement tables (Demirhan
 and Yilmaz (2023) <doi:10.1186/s12874-022-01759-7>).

Package: r-cran-greyzonesurv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-hmisc, r-cran-survauc
Filename: pool/dists/focal/main/r-cran-greyzonesurv_1.0-1.ca2004.1_all.deb
Size: 55560
MD5sum: 02f1d69f60d1366cd9149849c03a5df2
SHA1: 5d3999fb7a5ed59979fc58c3f28ae5ab0c1d84d1
SHA256: bc6c07ae9a6207987153d880919164b883ede4dfce10509242b9fc4d2d631f84
SHA512: e954475d5027b5d18270c11d06131c9676ac413b0c66507205ae1aa8e8356d34487e71f03114d7a05086c0ed506ab91604ef7cefe77450aba5e8993868bb2010
Homepage: https://cran.r-project.org/package=greyzoneSurv
Description: CRAN Package 'greyzoneSurv' (Fit a Grey-Zone Model with Survival Data)
 Allows one to classify patients into low, intermediate, and high risk groups
 for disease progression based on a continuous marker that is associated with
 progression-free survival. It uses a latent class model to link the marker
 and survival outcome and produces two cutoffs for the marker to divide
 patients into three groups. See the References section for more details.

Package: r-cran-grfa
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4763
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-grfa_0.2.1-1.ca2004.1_all.deb
Size: 4841288
MD5sum: 11f0a01890456e3a93ee54157a63c4a8
SHA1: e213b56361e45aac2772d77fd77a7bdb7a9b13ab
SHA256: 556e927eef17e282633bf023bb0ae9ce571fd3e964606411035bca53ddb15664
SHA512: ad3d523bf934c9ebcc347377b4afca9dc687a831341c30125bf25fabcd3881bf19b4715409af0b22c5be202d44c7c280c75a7fc4084422cd429c8951eab95b26
Homepage: https://cran.r-project.org/package=GrFA
Description: CRAN Package 'GrFA' (Group Factor Analysis)
 Several group factor analysis algorithms are implemented, including
 Canonical Correlation-based Estimation by Choi et al. (2021)
 <doi:10.1016/j.jeconom.2021.09.008> , Generalised Canonical Correlation
 Estimation by Lin and Shin (2023) <doi:10.2139/ssrn.4295429>, Circularly
 Projected Estimation by Chen (2022) <doi:10.1080/07350015.2022.2051520>, and
 Aggregated projection method.

Package: r-cran-gridbase
Architecture: all
Version: 0.4-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gridbase_0.4-7-1.ca2004.1_all.deb
Size: 161300
MD5sum: 539b8c4fdf6001932be360fbf715cdd1
SHA1: 3dc14ac94d139db9831b705aaa860fe433512536
SHA256: 354b869da5eda71799abd8d05d7b77be61ec3418ffcb670c98c6dcc01ff3496b
SHA512: bef44af066912c22edb36527372cce4416d0c6f88da56dc16b9c8e1b57e55e1b023c1d3e337546efa0c7d73d3b06c361135e2696b5a9340168e98bf0195068e3
Homepage: https://cran.r-project.org/package=gridBase
Description: CRAN Package 'gridBase' (Integration of base and grid graphics)
 Integration of base and grid graphics

Package: r-cran-gridbezier
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gridbezier_1.1-1-1.ca2004.1_all.deb
Size: 42928
MD5sum: 790eafb0e2d1ff0e5b79cbcfb6e01efb
SHA1: 2c49f46a526158d3a70e0d6afb9de2a808a2197c
SHA256: a08084a7823ae9624ec98268d7cd002f10e814f4cef0f1a2603cc5fa3877226b
SHA512: 69bfdb7abe285f398b999cac6681bf92d6a86fbca842949ccd555c5f23bc071350a193d2c82748e5456901f0448ce1c36cacf576d654cdbd4980d4053b9f0594
Homepage: https://cran.r-project.org/package=gridBezier
Description: CRAN Package 'gridBezier' (Bezier Curves in 'grid')
 Functions for rendering Bezier curves (Pomax, 2018)
 <https://pomax.github.io/bezierinfo/> in 'grid'.  There is support for both
 quadratic and cubic Bezier curves.  There are also functions for calculating
 points on curves, tangents to curves, and normals to curves.

Package: r-cran-gridcopula
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rsolnp, r-cran-fields, r-cran-limsolve, r-cran-ggplot2, r-cran-pracma, r-cran-reshape2, r-cran-evmix
Filename: pool/dists/focal/main/r-cran-gridcopula_1.0.1-1.ca2004.1_all.deb
Size: 87736
MD5sum: 8966d9d29822e11a117e554ed8109b3d
SHA1: 8d84cfbec683ff4bc851498e577bf86658c5eaf9
SHA256: 7db70199ab81dcbb49edd563bdfc91b2d96e8ea16707ce4fdb099d4185fec2d6
SHA512: b872d2c6eb3e7cfad609ab68005414b344f54228c7d3b684c990f34ebacffd93474f6a98954412193a27e45b97ecd049687bd9d631ec10c5a1f6f778c4516eef
Homepage: https://cran.r-project.org/package=GRIDCOPULA
Description: CRAN Package 'GRIDCOPULA' (Bivariate Copula Functions Based on Regular Grid)
 Estimates grid type bivariate copula functions, calculates some association
 measures and provides several copula graphics.

Package: r-cran-griddebug
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-cran-gridgraphviz, r-cran-gridsvg
Suggests: r-cran-lattice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-griddebug_0.5-1-1.ca2004.1_all.deb
Size: 33464
MD5sum: 5b98c17dc2392e3a11e1e017ac15a654
SHA1: a714c49fd8f3d208684ef7c99580136c679fd6d7
SHA256: eebe215a47471744af199ad826c1632668b3dface33c96e56c6cd0572d35f9ec
SHA512: fceca05e7020eaf9720d581f38e423c4f875f35627e508736b58fb3c672920af514492b99fecfb561c0f0400274fbde6c19ea8b262f4d5efd3169ea1440708f0
Homepage: https://cran.r-project.org/package=gridDebug
Description: CRAN Package 'gridDebug' (Debugging 'grid' Graphics)
 Functions for drawing scene trees representing scenes that have been drawn
 using grid graphics.

Package: r-cran-gridextra
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1705
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtable
Suggests: r-cran-ggplot2, r-cran-egg, r-cran-lattice, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gridextra_2.3-1.ca2004.1_all.deb
Size: 1022960
MD5sum: e10ad233825c47db65dfaf3156048b56
SHA1: 82527224b791134a8d7cbdb146eea2fc31402e86
SHA256: 684d19934ebe007b61682e8f46ef686969776e936e2a5413e9e28081bed39faf
SHA512: 5a0a6ce63864e8c8c30bfdac45e8aa44d84d03af3dc2ede5bfa21846cd46e3e270bfbcd4c0b2828bbfdc095b0891f7dbb843a69e800118b4eb22c980b882d66a
Homepage: https://cran.r-project.org/package=gridExtra
Description: CRAN Package 'gridExtra' (Miscellaneous Functions for "Grid" Graphics)
 Provides a number of user-level functions to work with "grid" graphics,
 notably to arrange multiple grid-based plots on a page, and draw tables.

Package: r-cran-gridgeometry
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-polyclip
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gridgeometry_0.4-0-1.ca2004.1_all.deb
Size: 125516
MD5sum: 42f63d54a2362b93e1748b4167e63022
SHA1: e44ba1cf9e4d0ef1db41b1ea9c48a8f7c4705885
SHA256: f08544800cce68fb9803224f7053e2bef43fc6381fcd0907b1caafab3971aa21
SHA512: 67fc1ef3779566d03585d02be2ff407e9c73185daf73424637b159666e603474ba494ca475185f4e2751023d32b6b92ec9661b700e581c320aae66774252d2b5
Homepage: https://cran.r-project.org/package=gridGeometry
Description: CRAN Package 'gridGeometry' (Polygon Geometry in 'grid')
 Functions for performing polygon geometry with 'grid' grobs.  This allows
 complex shapes to be defined by combining simpler shapes.

Package: r-cran-gridgraphics
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magick, r-cran-pdftools
Filename: pool/dists/focal/main/r-cran-gridgraphics_0.5-1-1.ca2004.1_all.deb
Size: 245420
MD5sum: 347bf02396fad596fdb79ccc055215c5
SHA1: c657df1dc5e16b394c411a92e7016d2cdf1143b0
SHA256: 3ce4fe450411ce69d19dd90e706fa4fb7d5db776a7b49f6df01cd11a29989670
SHA512: 1a38be07b82cadcfe7801873f95601389c084946552b04985d54adbeac914567a1025993d0a0d4fef2492addbee5add3d913f089231e0186ebfef42b04b6347a
Homepage: https://cran.r-project.org/package=gridGraphics
Description: CRAN Package 'gridGraphics' (Redraw Base Graphics Using 'grid' Graphics)
 Functions to convert a page of plots drawn with the 'graphics' package into
 identical output drawn with the 'grid' package.  The result looks like the
 original 'graphics'-based plot, but consists of 'grid' grobs and viewports
 that can then be manipulated with 'grid' functions (e.g., edit grobs and
 revisit viewports).

Package: r-cran-gridgraphviz
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-bioc-rgraphviz
Suggests: r-cran-gridsvg
Filename: pool/dists/focal/main/r-cran-gridgraphviz_0.3-1-1.ca2004.1_all.deb
Size: 40932
MD5sum: 52378cdf252c5b17d37aa2c7c8f79966
SHA1: ab498d70cc6abafa4208472aaa581016041a2836
SHA256: 05123236082ba3ab7f10f81b2efa817dc37f7e8ad6a63ae861630af03ec4cbbe
SHA512: 61307b7bfdc537e01ff1f19d589d9b7c8e3422e2d6c4b220e48fb2979c68cd2ffce8e16c331fbee1626a069cea096b516e345e40710355dac75119a144ba0aa6
Homepage: https://cran.r-project.org/package=gridGraphviz
Description: CRAN Package 'gridGraphviz' (Drawing Graphs with 'grid')
 Functions for drawing node-and-edge graphs that have been laid out by
 'graphviz'.  This provides an alternative rendering to that provided by the
 'Rgraphviz' package, with two main advantages: the rendering provided by
 'gridGraphviz' should be more similar to what 'graphviz' itself would draw;
 and rendering with 'grid' allows for post-hoc customisations using the named
 viewports and grobs that 'gridGraphviz' produces.

Package: r-cran-gridpattern
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2974
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-memoise, r-cran-png, r-cran-rlang, r-cran-sf
Suggests: r-cran-ambient, r-cran-artsy, r-cran-ggplot2, r-cran-gtable, r-cran-knitr, r-cran-magick, r-cran-ragg, r-cran-rmarkdown, r-cran-scales, r-cran-svglite, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-gridpattern_1.3.1-1.ca2004.1_all.deb
Size: 2326156
MD5sum: b34e0d766f9c7074d8afa5f8fe79cc22
SHA1: 710836b68b4668e8af800cb095fd042d77e5a3a5
SHA256: 80dcf6207904e89540050265cb0d0185cd156926e2b3e8325e839e290d26f5cd
SHA512: d95190e528ac198175aac5578ab457d9047197397bf8b6253ecbb35c440ac42cf8e22578c8e34ba30168d3de7e9473196f5131058e92dc8e552ee58345350f06
Homepage: https://cran.r-project.org/package=gridpattern
Description: CRAN Package 'gridpattern' ('grid' Pattern Grobs)
 Provides 'grid' grobs that fill in a user-defined area with various
 patterns.  Includes enhanced versions of the geometric and image-based
 patterns originally contained in the 'ggpattern' package as well as original
 'pch', 'polygon_tiling', 'regular_polygon', 'rose', 'text', 'wave', and
 'weave' patterns plus support for custom user-defined patterns.

Package: r-cran-gridsampler
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2649
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-reshape2, r-cran-plyr, r-cran-shinythemes, r-cran-biasedurn, r-cran-shinybs
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gridsampler_0.6-1.ca2004.1_all.deb
Size: 847864
MD5sum: b7c60422f53547110a7241f3091f345a
SHA1: a78bdd04ff92db8316c99f14e0d59a04f41bc6ef
SHA256: d4bcfed880f8135f95921b393d4aa8baa0354b579dbaef3b943adf454777c6f9
SHA512: 6aff6aa92084dfbfc6b527dcb2002413912cfe2a6cbedcd01e39c513c661e99025c5cd159f56494dbd867dca329177aff80f7863f7a678181ed1aec865a41880
Homepage: https://cran.r-project.org/package=gridsampler
Description: CRAN Package 'gridsampler' (A Simulation Tool to Determine the Required Sample Size forRepertory Grid Studies)
 Simulation tool to facilitate determination of required sample size to
 achieve category saturation for studies using multiple repertory grids in
 conjunction with content analysis.

Package: r-cran-gridstacker
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-shinyjs, r-cran-checkmate
Suggests: r-cran-shinydashboard, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-gridstacker_0.1.0-1.ca2004.1_all.deb
Size: 167456
MD5sum: 14615dc9fd27d4d066bc4f89b3aea868
SHA1: b20427799dd339f5cda917ca116b41928271fa65
SHA256: b0c49f12ec827e68608f1cb458282e381573210ce2c25ecd61290b12a8182348
SHA512: 7746bbfa306fa0c5c8db26ee970bd335c28cdaba4f2b5ac79116ca211706396e97b1d62649cece8347c68361af720681cd2205c5b9d594d99dd50a52afa7082c
Homepage: https://cran.r-project.org/package=gridstackeR
Description: CRAN Package 'gridstackeR' (Wrapper for 'gridstack.js')
 An easy way to create responsive layouts with just a few lines of code. You
 can create boxes that are draggable and resizable and load predefined
 Layouts. The package serves as a wrapper to allow for easy integration of
 the 'gridstack.js' functionalities
 <https://github.com/gridstack/gridstack.js>.

Package: r-cran-gridsvg
Architecture: all
Version: 1.7-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1649
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-xml
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-gridsvg_1.7-5-1.ca2004.1_all.deb
Size: 1378468
MD5sum: 7b03fdd7a295cd9aa6bb42e8cab3f16b
SHA1: 7f91b3c43bb868f87972fc1030159baaa2568212
SHA256: 3584d9adb576ebe2108adcd511838a3af77b238e632f9a29f029a1dff249b318
SHA512: fa729d68fdcb1290647da8b251489ff4de5bb346de170c6494f22bd43a73ce1a1d2cc7f2102b9b8b2e5c3cf56cb4c942053c44f97f63725b1703eb9470e76e6c
Homepage: https://cran.r-project.org/package=gridSVG
Description: CRAN Package 'gridSVG' (Export 'grid' Graphics as SVG)
 Functions to export graphics drawn with package grid to SVG format.
 Additional functions provide access to SVG features that are not available
 in standard R graphics, such as hyperlinks, animation, filters, masks,
 clipping paths, and gradient and pattern fills.

Package: r-cran-grimport2
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-png, r-cran-jpeg, r-cran-base64enc
Suggests: r-cran-gridsvg, r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-grimport2_0.3-3-1.ca2004.1_all.deb
Size: 245524
MD5sum: 2b0ff0e7af343a6f60d33774b212c368
SHA1: fa641bbf8d3c428205e5001eb6228b588f9e5c78
SHA256: f1b966be630a80cb423218badd318f5c1502d6e932ac329e0b92263fa644c8bd
SHA512: 6b95ff6f6b376b466a0d97eb2ad487d805b8b222b2cff3a98f0c19ddba6fae9b20df0091faffd126f8fa0aa2e44e310ae0b0ab06fe077f4c78ed7f00115efd67
Homepage: https://cran.r-project.org/package=grImport2
Description: CRAN Package 'grImport2' (Importing 'SVG' Graphics)
 Functions for importing external vector images and drawing them as part of
 'R' plots.  This package is different from the 'grImport' package because,
 where that package imports 'PostScript' format images, this package imports
 'SVG' format images.  Furthermore, this package imports a specific subset of
 'SVG', so external images must be preprocessed using a package like 'rsvg'
 to produce 'SVG' that this package can import.  'SVG' features that are not
 supported by 'R' graphics, e.g., gradient fills, can be imported and then
 exported via the 'gridSVG' package.

Package: r-cran-grimport
Architecture: all
Version: 0.9-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml
Suggests: r-cran-lattice, r-cran-cluster, r-cran-colorspace, r-cran-survival
Filename: pool/dists/focal/main/r-cran-grimport_0.9-7-1.ca2004.1_all.deb
Size: 780512
MD5sum: 012328dd07de10a3d0a94c66b560f987
SHA1: 210c67133d22bb3611519b286daebd05d875844a
SHA256: 03be83a0f4ea6ddcd77a10cf12414fe14f902fbcae266bae6bd54889e4db376e
SHA512: 626d0bd6ce475f0a7927a86d666cdd9d01505fabe505d11531b53e97bff34cafe53ad3adb1dc41d968885d7b5416d3639fd2838756773b72a37a4cecb633dcbc
Homepage: https://cran.r-project.org/package=grImport
Description: CRAN Package 'grImport' (Importing Vector Graphics)
 Functions for converting, importing, and drawing PostScript pictures in R
 plots.

Package: r-cran-grimr
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-grimr_0.5-1.ca2004.1_all.deb
Size: 56696
MD5sum: e4785f0cdd59ba67564a511771665fb2
SHA1: 55c82d284ee21caeebaadfabc59ace72983cdb5c
SHA256: 78bff1f53b49b01dfee792f33ba65447e00fa43c016b4b8c3189814d5422ffc0
SHA512: aa049dcdf3caba314970185ebab76182cfcad63e7ac7e351be4018a96d26749c22125344ce5e15666c6bab9c932d9999f9838c6942646088930b339f0889cc9e
Homepage: https://cran.r-project.org/package=GrimR
Description: CRAN Package 'GrimR' (Calculate Optical Parameters from Spindle Stage Measurements)
 Calculates optical parameters of crystals like the optical axes, the axis
 angle 2V, and the direction of the principal axes of the indicatrix from
 extinction angles measured on a spindle stage mounted on a polarisation
 microscope stage. Details of the method can be found in Dufey (2017)
 <arXiv:1703.00070>.

Package: r-cran-grin2
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1890
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-circlize, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-survival, r-cran-tibble, r-cran-tidyselect, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biomart, r-cran-gridgraphics, r-bioc-gviz, r-bioc-ensembldb, r-bioc-genomeinfodb, r-bioc-complexheatmap
Filename: pool/dists/focal/main/r-cran-grin2_2.0.0-1.ca2004.1_all.deb
Size: 1073412
MD5sum: b6b1f7c5cbb5a934c6c5eb585cb47135
SHA1: 6459285ab13aa561f037ce0ef5c93667a728225c
SHA256: 313255e10241ef5cf91595a7ed839b1232f92be65f21eb3eaafe073f0db09270
SHA512: c5b36053e98492c12e12662b878e22ea7a9f4048bbbecd388c88a39c23eec2b22256ea0e40464cacb2410324ed2576f5bce212b26e33a32c3f1f6e52afb41122
Homepage: https://cran.r-project.org/package=GRIN2
Description: CRAN Package 'GRIN2' (Genomic Random Interval (GRIN))
 Improved version of 'GRIN' software that streamlines its use in practice to
 analyze genomic lesion data, accelerate its computing, and expand its
 analysis capabilities to answer additional scientific questions including a
 rigorous evaluation of the association of genomic lesions with RNA
 expression. Pounds, Stan, et al. (2013) <DOI:10.1093/bioinformatics/btt372>.

Package: r-cran-gripp
Architecture: all
Version: 0.2.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-usethis, r-cran-gensa, r-cran-ga
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gripp_0.2.20-1.ca2004.1_all.deb
Size: 387400
MD5sum: 23ef31b1e3c20a2119b2672081a12be3
SHA1: 3ea1d7e5d122c90bf0866ce1028cb512c8ee1ccf
SHA256: 67949fe0d58023d1666f2d789379fbb1fb3caf2d1c82a07083eff77044c6c427
SHA512: 6dfbdd95edb92a7d2decd6b154017cfe1c0a4661e42aa3207831bc3b9cf4941eb9a9fce568128733dfe357001e0081ae336e8172a6de581bf1c5ba9ed2f9e1fa
Homepage: https://cran.r-project.org/package=gripp
Description: CRAN Package 'gripp' (General Inverse Problem Platform)
 Set of functions designed to solve inverse problems. The direct problem is
 used to calculate a cost function to be minimized.  Here are listed some
 papers using Inverse Problems solvers and sensitivity analysis: (Jader Lugon
 Jr.; Antonio J. Silva Neto 2011) <doi:10.1590/S1678-58782011000400003>.
 (Jader Lugon Jr.; Antonio J. Silva Neto; Pedro P.G.W. Rodrigues 2008)
 <doi:10.1080/17415970802082864>.  (Jader Lugon Jr.; Antonio J. Silva Neto;
 Cesar C. Santana 2008) <doi:10.1080/17415970802082922>.

Package: r-cran-grizbayr
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-spelling, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grizbayr_1.3.5-1.ca2004.1_all.deb
Size: 122860
MD5sum: 4e278ffcf4aa8bc00cfb569244de77fe
SHA1: fe6d6d0a09b19e9bb446566feb11e890d54ec8f4
SHA256: 9f26905e36e662689d534a0fa6072f67b1732a0eeb9cb4693404677004943d24
SHA512: ec442760907f2353670f3c534a07ea27ede83df3b73239d499cbadd71cd1383aa9b41360f6afbcaf3bf0d685fe1ae74c2fc1b81db2f5984d1431c19d2631f4e3
Homepage: https://cran.r-project.org/package=grizbayr
Description: CRAN Package 'grizbayr' (Bayesian Inference for A|B and Bandit Marketing Tests)
 Uses simple Bayesian conjugate prior update rules to calculate the win
 probability of each option, value remaining in the test, and percent lift
 over the baseline for various marketing objectives.  References: Fink,
 Daniel (1997) "A Compendium of Conjugate Priors"
 <https://www.johndcook.com/CompendiumOfConjugatePriors.pdf>.  Stucchio,
 Chris (2015) "Bayesian A/B Testing at VWO"
 <https://vwo.com/downloads/VWO_SmartStats_technical_whitepaper.pdf>.

Package: r-cran-grmsem
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 724
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-numderiv, r-cran-optimparallel
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grmsem_1.1.0-1.ca2004.1_all.deb
Size: 602328
MD5sum: 0706093dfa878144183ce27c94bfb267
SHA1: 88f28be3ff268ee16c483f420393ef924dbb7b27
SHA256: f6a4d2ec92c41950bd604da1047aa4bcf1b54bfd586072da31ab92fc44edfa2d
SHA512: 507ed54743fdad01455d62ef06410b2d8a2756432266eedd2998284976d15b12a3d4fb795db2de32e545bf9a3821080c37ef773597c295823173e111f5c94099
Homepage: https://cran.r-project.org/package=grmsem
Description: CRAN Package 'grmsem' (Genetic-Relationship-Matrix Structural Equation Modelling(GRMSEM))
 Quantitative genetics tool supporting the modelling of multivariate genetic
 variance structures in quantitative data. It allows fitting different models
 through multivariate genetic-relationship-matrix (GRM) structural equation
 modelling (SEM) in unrelated individuals, using a maximum likelihood
 approach. Specifically, it combines genome-wide genotyping information, as
 captured by GRMs, with twin-research-based SEM techniques, St Pourcain et
 al. (2017) <doi:10.1016/j.biopsych.2017.09.020>, Shapland et al. (2020)
 <doi:10.1101/2020.08.14.251199>.

Package: r-cran-grnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grnn_0.1.0-1.ca2004.1_all.deb
Size: 17128
MD5sum: 8914a94055fd6e43be5321e9ad3023cb
SHA1: 44b3353c13f34bdf9c4a23e226e404bed988add1
SHA256: bd4cbf20ac8d0d1a46f7bb87d0003393116dd997dd0339710774c94b1b886d7d
SHA512: 691bf9336a74cc3cf85fb335f6f0e5357d667567bc718c50d5f7011a04ca54567651ac7a6f92678edc912b75e29a81d14177691842a840e962a3e5c0e919d1c8
Homepage: https://cran.r-project.org/package=grnn
Description: CRAN Package 'grnn' (General regression neural network)
 The program GRNN implements the algorithm proposed by Specht (1991).

Package: r-cran-grnns
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cvtools, r-cran-rdist, r-cran-scales, r-cran-vegan
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grnns_0.1.0-1.ca2004.1_all.deb
Size: 93804
MD5sum: 8d6cc0d9b34870036ac971878eb132a3
SHA1: 18e3fca1edc0f0802362f6c1f2240b9b737edf66
SHA256: ac155ed379d2f4f1d327a047ab5f3261c0719c9a2e634a7d782980fc86c5f2aa
SHA512: 3591e8a91f4b920c2a4ae54518db99f7744ee4b0322559ef909263f9ec148f58a17ed09999ac189ad41d91ff52bc294c771d56fe3e655d17a58aca7eaed757ca
Homepage: https://cran.r-project.org/package=GRNNs
Description: CRAN Package 'GRNNs' (General Regression Neural Networks Package)
 This General Regression Neural Networks Package uses various distance
 functions.  It was motivated by Specht (1991, ISBN:1045-9227), and updated
 from previous published paper Li et al. (2016)
 <doi:10.1016/j.palaeo.2015.11.005>. This package includes various functions,
 although "euclidean" distance is used traditionally.

Package: r-cran-groan
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plyr, r-cran-rrblup
Suggests: r-cran-bglr, r-cran-e1071, r-cran-ggplot2, r-cran-knitr, r-cran-randomforest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-groan_1.3.1-1.ca2004.1_all.deb
Size: 654328
MD5sum: 6b2a323e7bc490b2fbc9c734ecefc78e
SHA1: 043defae0e8ac1712ed2e35458e00ea94e1ee0d7
SHA256: 3f6937279d62be581ca1c816fd5f6240debfc1b9cf2419333e6e59133c5a4831
SHA512: 537a900686c68607999ff560f220263b7a20d4855807d1325acfd3cb7da53f086b962bd1421dce8b4833a8bf70cde2daa69c21ad511cb07f6c2be981b7a45e1e
Homepage: https://cran.r-project.org/package=GROAN
Description: CRAN Package 'GROAN' (Genomic Regression Workbench)
 Workbench for testing genomic regression accuracy on (optionally noisy)
 phenotypes.

Package: r-cran-grobblr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1574
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-gridextra, r-cran-magrittr, r-cran-png, r-cran-purrr, r-cran-rcurl, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r6, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grobblr_0.2.2-1.ca2004.1_all.deb
Size: 1040164
MD5sum: 54301b73bf104e606141091f1bcf3d32
SHA1: d95cf4d51c2fd3f95d18a65a0f16d26e6d2b1d3f
SHA256: 280a92cf732def396a743b24df9cf2ff3dd229b7133eb2be88cb3baf369fcb10
SHA512: caf8963bf9d652029d013ec49b2690921c1002a91c19711b19a6019dca49ff8323019faa214850ee46e0ba367e151e1e5f6e0d9365ea02e6c49431257be72417
Homepage: https://cran.r-project.org/package=grobblR
Description: CRAN Package 'grobblR' (Creating Flexible, Reproducible 'PDF' Reports)
 A tool which allows users the ability to intuitively create flexible,
 reproducible portable document format reports comprised of aesthetically
 pleasing tables, images, plots and/or text.

Package: r-cran-gromovlab
Architecture: all
Version: 0.8-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ape, r-cran-quadprog, r-cran-cluster
Suggests: r-cran-phangorn
Filename: pool/dists/focal/main/r-cran-gromovlab_0.8-3-1.ca2004.1_all.deb
Size: 37680
MD5sum: 8d567eadd0b3a5f09ebbd6eaa6202f91
SHA1: b8c4f5c0999c9ffb7b6f21c365ec8fb6a1caf390
SHA256: 1525ac93cd58f9c579b67ef84b0527c9eaa5c3f8bc01f2ea911446350483863d
SHA512: 63ad08531e86a7069f2ac3ac241aaf00c09a8c8da4cc40c0cd090e1580f7fa2fce3e5b6f7cb793eb29a5a4329860d0fed1665ba1605be02cfb90e885af10706b
Homepage: https://cran.r-project.org/package=gromovlab
Description: CRAN Package 'gromovlab' (Gromov-Hausdorff Type Distances for Labeled Metric Spaces)
 Computes Gromov-Hausdorff type l^p distances for labeled metric spaces.
 These distances were introduced in V.Liebscher, Gromov meets Phylogenetics -
 new Animals for the Zoo of Metrics on Tree Space <arXiv:1504.05795> for
 phylogenetic trees, but may apply to a diversity of scenarios.

Package: r-cran-groqr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipr, r-cran-httr, r-cran-jsonlite, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-groqr_0.0.3-1.ca2004.1_all.deb
Size: 211284
MD5sum: 9e23cc2d4c98deb9daf5ceaa0e4e596f
SHA1: 9faa2f60e3ca5e85d6b415715e5c6753bd254238
SHA256: 198db2072561db0a83644048797a012745fd7ed7aea41c678db6b1c07ebab0a0
SHA512: d33b7f30ec4b6396d7709df04b8795378a6d89f32b1648dd9522ffa52272a52d8c115697f7037eda16030e2bd6889d956d1384dd19ee1b02bc4b36891bbc3d21
Homepage: https://cran.r-project.org/package=groqR
Description: CRAN Package 'groqR' (A Coding Assistant using the Fast AI Inference 'Groq')
 A comprehensive suite of functions and 'RStudio' Add-ins leveraging the
 capabilities of open-source Large Language Models (LLMs) to support R
 developers. These functions offer a range of utilities, including text
 rewriting, translation, and general query capabilities. Additionally, the
 programming-focused functions provide assistance with debugging,
 translating, commenting, documenting, and unit testing code, as well as
 suggesting variable and function names, thereby streamlining the development
 process.

Package: r-cran-groundhog
Architecture: all
Version: 3.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-git2r, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-groundhog_3.2.3-1.ca2004.1_all.deb
Size: 265264
MD5sum: 2bfbbe37a294557dfe1b1d702d8cc08d
SHA1: d673d4245ee32349e11c2555ce7cd4ad666d68a0
SHA256: f9082a7f49720c274616420241801b8ea574ae77ce56d10770e7c24ad42af3bc
SHA512: 4fda1dcc313da5b678eb5e425f474f7ec6567a8ad0fd7c3cc45051db78b39d3ac7aba8b2c5974f03ed4777cac107d13ecdea2202c04552e933032824215db3ff
Homepage: https://cran.r-project.org/package=groundhog
Description: CRAN Package 'groundhog' (Version-Control for CRAN, GitHub, and GitLab Packages)
 Make R scripts reproducible, by ensuring that every time a given script is
 run, the same version of the used packages are loaded (instead of whichever
 version the user running the script happens to have installed). This is
 achieved by using the command groundhog.library() instead of the base
 command library(), and including a date in the call. The date is used to
 call on the same version of the package every time (the most recent version
 available at that date).  Load packages from CRAN, GitHub, or Gitlab.

Package: r-cran-groupbn
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-clustofvar, r-cran-pcamixdata, r-cran-arules, r-cran-zoo, r-cran-prroc, r-cran-mlmetrics, r-cran-rlist, r-cran-magrittr, r-cran-visnetwork, r-cran-plyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-groupbn_1.2.0-1.ca2004.1_all.deb
Size: 177328
MD5sum: 92356f22210f149cdf7328df419902e9
SHA1: 5fc93cbc15b82101cedc125c38c7a7d88515e399
SHA256: 541c9b451852ad87352102c7b09ca2be51382a585adb488169ebec9eac44e122
SHA512: 64e2984fdb36e69a6185f73cb7cdd1798321f537a813ebece2e0f14a2304003415fc64cbc070ed152d4277c5c3477555c0511c2e128efa319dd8ad689064619e
Homepage: https://cran.r-project.org/package=GroupBN
Description: CRAN Package 'GroupBN' (Inferring Group Bayesian Networks using Hierarchical FeatureClustering)
 Group Bayesian Networks: This package implements the inference of group
 Bayesian networks based on hierarchical feature clustering, and the adaptive
 refinement of the grouping regarding an outcome of interest, as described in
 Becker et. al (2021) <doi: 10.1371/journal.pcbi.1008735>.

Package: r-cran-groupcompare
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-vioplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-groupcompare_1.0.1-1.ca2004.1_all.deb
Size: 230204
MD5sum: acd93dde5304d3583efddc25fad1064e
SHA1: 48aa3b1324668df173f27be68422ff47aea85abb
SHA256: 98d38ea58efe1e80b2a39ba4057edae4a4c12c0010eb1f74130120833f01f892
SHA512: 390812dd818cffde9e4513fab0f4510bf00ca910f795579a20da003c97b02ffdee972958b604af51e367d792d069423dadf29faf01087b6ad60cd92f1fa5ac2f
Homepage: https://cran.r-project.org/package=groupcompare
Description: CRAN Package 'groupcompare' (Comparing Two Groups Using Various Descriptive Statistics)
 Comparing two independent or paired groups across a range of descriptive
 statistics, enabling the evaluation of potential differences in central
 tendency (mean, median), dispersion (variance, interquartile range), shape
 (skewness, kurtosis), and distributional characteristics (various
 quantiles). The analytical framework incorporates parametric t-tests,
 non-parametric Wilcoxon tests, permutation tests, and bootstrap resampling
 techniques to assess the statistical significance of observed differences.

Package: r-cran-groupcomparisons
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-groupcomparisons_0.1.0-1.ca2004.1_all.deb
Size: 19116
MD5sum: c892b2b85717634ea1a286d3a09d69a8
SHA1: 6064f2121045dd06cce6e62afb5a6871c6c2b9fc
SHA256: c1106c513e00adda7887416ad0a2837917fc485c9552af0d470cd449175daf31
SHA512: 27095228b7a38b288328a9e6d2ba9212eff9ed161f00f7e203a586246d65d5c48550cddaab4605d9cc6f3a31f9d499afb1034b8bdfb55429af94ba2b0a4b0ca5
Homepage: https://cran.r-project.org/package=GroupComparisons
Description: CRAN Package 'GroupComparisons' (Paired/Unpaired Parametric/Non-Parametric Group Comparisons)
 Receives two vectors, computes appropriate function for group comparison
 (i.e., t-test, Mann-Whitney; equality of variances), and reports the
 findings (mean/median, standard deviation, test statistic, p-value, effect
 size) in APA format (Fay, M.P., & Proschan, M.A. (2010)<DOI:
 10.1214/09-SS051>).

Package: r-cran-groupdata2
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1931
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-numbers, r-cran-lifecycle, r-cran-plyr, r-cran-purrr, r-cran-rearrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-broom, r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-lmertest, r-cran-rmarkdown, r-cran-testthat, r-cran-xpectr
Filename: pool/dists/focal/main/r-cran-groupdata2_2.0.5-1.ca2004.1_all.deb
Size: 1148640
MD5sum: cd2c12f5f375708bd0bf3f5a367d816a
SHA1: b8a77cd89f2aca6c7debf7f08b021e2d563bd583
SHA256: 7a9d7a75ed7bbdf6d3027098d215b6d602fabcba951e53fec92596396a4f35cd
SHA512: a14fc0e2cc54205499a232a1f7b0c6fc70ed70a41eab531ec4d37fd713f746d5c070cb8d9287253fd2926d12d1afacc0aa21220e9fc83be5ec03da789ed69a60
Homepage: https://cran.r-project.org/package=groupdata2
Description: CRAN Package 'groupdata2' (Creating Groups from Data)
 Methods for dividing data into groups.  Create balanced partitions and
 cross-validation folds.  Perform time series windowing and general grouping
 and splitting of data.  Balance existing groups with up- and downsampling or
 collapse them to fewer groups.

Package: r-cran-groupedhyperframe.random
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.random, r-cran-groupedhyperframe, r-cran-cli, r-cran-spatstat.geom, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spatstat.data
Filename: pool/dists/focal/main/r-cran-groupedhyperframe.random_0.1.0-1.ca2004.1_all.deb
Size: 52360
MD5sum: c412d9fcc19f04a42baccfdb14124d82
SHA1: 39bc3a99e4d30c1183758e3d6cbc7ab713a4a9bb
SHA256: 6a77f0ddcb694740dd7d05d9026eb07d5b47ff5a41d4e7783c79f43ee8fea503
SHA512: e935739b80e420cc0a9c34cf0cdbc49b222d57bd86c53bd788e067a936d84b8c0f7001000ccc91c82edbe25c77323364d17d6d3eb0153ba990a1fcaad3a7fcc7
Homepage: https://cran.r-project.org/package=groupedHyperframe.random
Description: CRAN Package 'groupedHyperframe.random' (Simulated Grouped Hyper Data Frame)
 An intuitive interface to simulate (1) superimposed (marked) point patterns
 with vectorized parameterization of random point pattern and distribution of
 marks; and (2) grouped hyper data frame based on population parameters and
 subject-specific random effects.

Package: r-cran-groupedhyperframe
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3021
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-matrixstats, r-cran-pracma, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatialpack
Suggests: r-cran-knitr, r-cran-quarto, r-cran-rmarkdown, r-cran-survival, r-cran-spatstat.data
Filename: pool/dists/focal/main/r-cran-groupedhyperframe_0.2.4-1.ca2004.1_all.deb
Size: 2903684
MD5sum: b06eeb703af3f171ada6eb635e086b52
SHA1: 3bcfc5cc596b260fbac038c1f9fde042e63f0ed3
SHA256: fc009b6802c5ad0a89fecf31c6f75633a3f7878008a9cb6d21e4eacecd10ad7a
SHA512: f4bd85617376ca9a42e353425658237a69ab76269fc12b951217447354521924dde04e2cacb17f40c950e3ff8b96f0de90d81fe1ba9501059c64d5a662bba782
Homepage: https://cran.r-project.org/package=groupedHyperframe
Description: CRAN Package 'groupedHyperframe' (Grouped Hyper Data Frame: An Extension of Hyper Data Frame)
 An S3 class 'groupedHyperframe' that inherits from hyper data frame. Batch
 processes on point-pattern hyper column.  Aggregation of
 function-value-table hyper column(s) and numeric hyper column(s) over a
 nested grouping structure.

Package: r-cran-grouphmap
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3184
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-limma, r-bioc-clusterprofiler, r-cran-dplyr, r-bioc-org.mm.eg.db, r-cran-pheatmap, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-grouphmap_1.0.0-1.ca2004.1_all.deb
Size: 749660
MD5sum: f9aa9cfae864736e4173aaa971518880
SHA1: 8470009c65202704e1d3ac95455ef2e8a4fd249d
SHA256: 13bdf1495e05c774dfcf231f61102c0334aeb515c57a94c6dcf34135ac3bf417
SHA512: 1cce1fffb0541906100a8c74d8c2b7f5c4fdba7570547b1b3e62f26549f138bd78bd92ae382d3bdfacaa798fa2da65c9a3ca795041e81c1c517512b4b9916017
Homepage: https://cran.r-project.org/package=Grouphmap
Description: CRAN Package 'Grouphmap' ('Grouphmap' is an Automated One-Step Common Analysis of BatchExpression Profile)
 The 'Grouphmap' was implemented in R, an open-source programming
 environment, and was released under the provided website. The difference
 analysis is based on the 'limma' package, which can cover gene and protein
 expression profiles (Reference: Matthew E Ritchie , Belinda Phipson , Di Wu
 , Yifang Hu , Charity W Law , Wei Shi , Gordon K Smyth (2015)
 <doi:10.1093/nar/gkv007>). The GO enrichment analysis is based on the
 'clusterProfiler' package and supports three common species: human, mouse,
 and yeast (Reference: Guangchuang Yu, Li-Gen Wang, Yanyan Han, Qing-Yu He
 (2012) <doi:10.1089/omi.2011.0118>). The results of batch difference
 analysis and enrichment analysis are output in separate folders for easy
 viewing and further visualization of the results during the process. The
 results returned a heatmap in R and exported to 3 folders named DEG, go, and
 merge.

Package: r-cran-groupica
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-groupica_0.1.1-1.ca2004.1_all.deb
Size: 32700
MD5sum: 81b5eb94c5568962489f7eb3ee72d983
SHA1: dc01755d677ffbf06dccbdf46270e65a93e6c0fa
SHA256: adf7eba97a99232ed9d9408429781ffa0b8dccaee687b9ebae23e980f0db372a
SHA512: bb86a8f1292c2756b5a7273f8d225f53943f1e1a1949083d4c13ba0023a29c811ef67691fdaa528054345f3779b25bc6ee4cd9fd8181d580031d737ffc39d675
Homepage: https://cran.r-project.org/package=groupICA
Description: CRAN Package 'groupICA' (Independent Component Analysis for Grouped Data)
 Contains an implementation of an independent component analysis (ICA) for
 grouped data. The main function groupICA() performs a blind source
 separation, by maximizing an independence across sources and allows to
 adjust for varying confounding for user-specified groups. Additionally, the
 package contains the function uwedge() which can be used to approximately
 jointly diagonalize a list of matrices. For more details see the project
 website <https://sweichwald.de/groupICA/>.

Package: r-cran-groupr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-vctrs, r-cran-pillar, r-cran-purrr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-groupr_0.1.2-1.ca2004.1_all.deb
Size: 57544
MD5sum: 8e95b05e17323f2ceaedf3a1091e267d
SHA1: 2ee3d1995b608ec88b60a0e83966c461be31f5e3
SHA256: 692707d35705f0a9365baaab06df7adfa32c39dc1711b09da554d7169d15823c
SHA512: d0c1dfdb22736263428c2ab6fd6e9c61db33becee9e77c99684a551ce6b911d3a3686e447485d8a88445134f29693802a2c3f4d86eb97fdf1108e005b5e1ae41
Homepage: https://cran.r-project.org/package=groupr
Description: CRAN Package 'groupr' (Groups with Inapplicable Values)
 The 'groupr' package provides a more powerful version of grouped tibbles
 from 'dplyr'. It allows groups to be marked inapplicable, which is a simple
 but widely useful way to express structure in a dataset.  It also provides
 powerful pivoting and other group manipulation functions.

Package: r-cran-groupseq
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2931
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tcltk2, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-tinytest, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-groupseq_1.4.3-1.ca2004.1_all.deb
Size: 2056688
MD5sum: 72505fa159c20e651ed30019ab14f690
SHA1: 7979be02e9b5c72192feaf4d596729ae34da695b
SHA256: c83af9fe723d8f12da5dbbf8cbe8440f8d8ffc20545bead1fe6cd16b4b50ac0b
SHA512: e94951239165f197c7d8c8816af4e84e2e81ad4585f6cfc57cf16d5023294d50a11c156ad8be31c2d6ccf05a15a381d1662310b557b9714d10c82ce946111657
Homepage: https://cran.r-project.org/package=GroupSeq
Description: CRAN Package 'GroupSeq' (Group Sequential Design Probabilities - With Graphical UserInterface)
 Computes probabilities related to group sequential designs for normally
 distributed test statistics. Enables to derive critical boundaries, power,
 drift, and confidence intervals of such designs.  Supports the alpha
 spending approach by Lan-DeMets (1994) <doi:10.1002/sim.4780131308>.

Package: r-cran-grouptest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grouptest_1.0.1-1.ca2004.1_all.deb
Size: 78640
MD5sum: d10a7e5f8c486aeae95901f4568dc554
SHA1: 10863c43e2a4034db5ef84f2939b6aab0a6a8b55
SHA256: 1154c01e9661ad49bccc2400b7f53e03e865b532ef3d6fc9a23a6ec6c584f6ea
SHA512: c17c31dd542e5b5355ed6f656a9fd6c0638a3fb036fc56a48c1ad60c6a286b0125bc0f16512b94d013dba97aff2ef83a3a0c985e919b1729bc61f5ff4b91b783
Homepage: https://cran.r-project.org/package=GroupTest
Description: CRAN Package 'GroupTest' (Multiple Testing Procedure for Grouped Hypotheses)
 Contains functions for a two-stage multiple testing procedure for grouped
 hypothesis, aiming at controlling both the total posterior false discovery
 rate and within-group false discovery rate.

Package: r-cran-groupwalk
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-groupwalk_0.1.2-1.ca2004.1_all.deb
Size: 15708
MD5sum: 737010bb0a7a45bf5eefe854ee4a0dbf
SHA1: 6186cfaf7a92e10c751f7288bd26a8b08fd38788
SHA256: 82edefa400a2e271e4e82fc12504cf373baf9e1e9795df9add7a508823968616
SHA512: 6bb23de4e33f2378962c46b77cd05be5449a2163a6f76639f447587142715f8b2b97037b2af2cdf05c2c3a2b604b4b072679e21b3d5d9c809888782b95dcb458
Homepage: https://cran.r-project.org/package=groupwalk
Description: CRAN Package 'groupwalk' (Implement the Group Walk Algorithm)
 A procedure that uses target-decoy competition (or knockoffs) to reject
 multiple hypotheses in the presence of group structure. The procedure
 controls the false discovery rate (FDR) at a user-specified threshold.

Package: r-cran-groupwqs
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp, r-cran-glm2, r-cran-mass, r-cran-rjags
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-groupwqs_0.0.3-1.ca2004.1_all.deb
Size: 257428
MD5sum: 6c6a743a9e548361139eddf530a30bf1
SHA1: 9d378c744e829d0bec394a978cba69af09decbd3
SHA256: 89e8ad2aed8db98621af7a761cc316f6fd67ba701c0861d19007e94a1fd051ec
SHA512: ca1b622536fda7a40c68b4a727b2f15b09312813f1bcc10740d228268a7db4915630f8936ddd3cdf9a03d43d1e9dc8d5916115999c54c831f884c4b0b307c19f
Homepage: https://cran.r-project.org/package=groupWQS
Description: CRAN Package 'groupWQS' (Grouped Weighted Quantile Sum Regression)
 Fits weighted quantile sum (WQS) regressions for one or more chemical groups
 with continuous or binary outcomes. Wheeler D, Czarnota J.(2016)
 <doi:10.1289/isee.2016.4698>.

Package: r-cran-growr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2737
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-r6, r-cran-rdpack
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-growr_1.3.0-1.ca2004.1_all.deb
Size: 1886696
MD5sum: 62d1ad297de2f35ec67115be627f117a
SHA1: 1b9b777bf3dc0e77dd432404633db5c28224f428
SHA256: 4b47536f2983f8322d8070c7468017b6b330d679b4895b548f8575690679a8fe
SHA512: 2e5e70fb32ef244cc63e58e8b140223b1cc88e44e5fa6985b333c9dd67cd0f44b5575706b6e627875e2237eb2e9bb70a8db06829e2837bc3b98797282ddc0afd
Homepage: https://cran.r-project.org/package=growR
Description: CRAN Package 'growR' (Implementation of the Vegetation Model ModVege)
 Run grass growth simulations using a grass growth model based on ModVege
 (Jouven, M., P. Carrère, and R. Baumont "Model Predicting Dynamics of
 Biomass, Structure and Digestibility of Herbage in Managed Permanent
 Pastures. 1. Model Description." (2006)
 <doi:10.1111/j.1365-2494.2006.00515.x>). The implementation in this package
 contains a few additions to the above cited version of ModVege, such as
 simulations of management decisions, and influences of snow cover.  As such,
 the model is fit to simulate grass growth in mountainous regions, such as
 the Swiss Alps. The package also contains routines for calibrating the model
 and helpful tools for analysing model outputs and performance.

Package: r-cran-growthcleanr
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6003
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.utils, r-cran-data.table, r-cran-tidyr, r-cran-plyr, r-cran-dplyr, r-cran-foreach, r-cran-doparallel, r-cran-labelled, r-cran-magrittr
Suggests: r-cran-argparser, r-cran-bit64, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-growthcleanr_2.2.0-1.ca2004.1_all.deb
Size: 5899704
MD5sum: e88f76fc335fc0d38c163f8af009e6c7
SHA1: b8ab6df48b438d724b4f522af27864a544bb1860
SHA256: d906bc71cc195b456485ad36abcabfbd8dbffc7f12c0eba3a07a087f7f35cd76
SHA512: 57761222e5cd5628af4dd418fff5e0dc6fc16929a435c997e495df012bdff0a66c43cf16c12321ad036eb6140eb0d4d69c6918b307b78ff774b37358219cc8ac
Homepage: https://cran.r-project.org/package=growthcleanr
Description: CRAN Package 'growthcleanr' (Data Cleaner for Anthropometric Measurements)
 Identifies implausible anthropometric (e.g., height, weight) measurements in
 irregularly spaced longitudinal datasets, such as those from electronic
 health records.

Package: r-cran-growthcurveme
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-flextable, r-cran-ggplot2, r-cran-investr, r-cran-knitr, r-cran-magrittr, r-cran-minpack.lm, r-cran-moments, r-cran-patchwork, r-cran-rlang, r-cran-saemix, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-growthcurveme_0.1.11-1.ca2004.1_all.deb
Size: 465336
MD5sum: 0811ce970c24a6fc55d21cd053f9c3a6
SHA1: 7516288a3c1578d90218f37a658701b08a1c860f
SHA256: 4d2a0fb0fbcec41db47d131f86c34ae3c47f77c99e37aa61ae0be74d74f1231a
SHA512: 3b62b348217418efd821b25b81e0e751193151f08576b79f45b964dedf506866bd11d365370a4b0c3120b99a9f6232f3dfe67469468c579ed9154d38a32f8ad2
Homepage: https://cran.r-project.org/package=GrowthCurveME
Description: CRAN Package 'GrowthCurveME' (Mixed-Effects Modeling for Growth Data)
 Simple and user-friendly wrappers to the 'saemix' package for performing
 linear and non-linear mixed-effects regression modeling for growth data to
 account for clustering or longitudinal analysis via repeated measurements.
 The package allows users to fit a variety of growth models, including
 linear, exponential, logistic, and 'Gompertz' functions. For non-linear
 models, starting values are automatically calculated using initial
 least-squares estimates. The package includes functions for summarizing
 models, visualizing data and results, calculating doubling time and other
 key statistics, and generating model diagnostic plots and residual summary
 statistics. It also provides functions for generating publication-ready
 summary tables for reports.  Additionally, users can fit linear and
 non-linear least-squares regression models if clustering is not applicable.
 The mixed-effects modeling methods in this package are based on Comets,
 Lavenu, and Lavielle (2017) <doi:10.18637/jss.v080.i03> as implemented in
 the 'saemix' package. Please contact us at models@dfci.harvard.edu with any
 questions.

Package: r-cran-growthcurver
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-dplyr, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-growthcurver_0.3.1-1.ca2004.1_all.deb
Size: 315656
MD5sum: 341982e88327782bc8d8d67c5ddc2d41
SHA1: 99de2d67cc47f75b5ed827569ab3a2c153954889
SHA256: 97df2803bc1b080e6b2cee27d5a80f6e8d51d6138190cc0e394d458392b85e72
SHA512: c502df7b6fc315046f14f44907557f8336c71b6b850154668c002d34c2c43c3cdc33042decb97df8bba6bed0c94845e38cbfc0fbc511101904f969d80e450e9c
Homepage: https://cran.r-project.org/package=growthcurver
Description: CRAN Package 'growthcurver' (Simple Metrics to Summarize Growth Curves)
 Fits the logistic equation to microbial growth curve data (e.g., repeated
 absorbance measurements taken from a plate reader over time). From this fit,
 a variety of metrics are provided, including the maximum growth rate, the
 doubling time, the carrying capacity, the area under the logistic curve, and
 the time to the inflection point. Method described in Sprouffske and Wagner
 (2016) <doi:10.1186/s12859-016-1016-7>.

Package: r-cran-growthmodels
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-growthmodels_1.3.1-1.ca2004.1_all.deb
Size: 57532
MD5sum: 4d45bf472b79c702b9c2c6670545ece7
SHA1: 864ab7c09d518caafd22b37b49e4339dbc77eb98
SHA256: 843c8d77c5e3033001c3ad93662291283bdcce32192f927420a1ad895177d25f
SHA512: c98aeff1f53831215fdb99a9d7f83b1ffdf37fc3cd332d03f522330e79eef074c6cc8b801f340566575c6dfd1b7562a287dd02bffebbf6973b5d9ac8c6e47957
Homepage: https://cran.r-project.org/package=growthmodels
Description: CRAN Package 'growthmodels' (Nonlinear Growth Models)
 A compilation of nonlinear growth models.

Package: r-cran-growthpheno
Architecture: all
Version: 3.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4638
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dae, r-cran-dplyr, r-cran-ggally, r-cran-ggplot2, r-cran-hmisc, r-cran-jops, r-cran-rcolorbrewer, r-cran-readxl, r-cran-reshape, r-cran-stringi
Suggests: r-cran-testthat, r-cran-nlme, r-cran-r.rsp, r-cran-scales
Filename: pool/dists/focal/main/r-cran-growthpheno_3.1.12-1.ca2004.1_all.deb
Size: 4544240
MD5sum: fa20e020ed2a20b865e99f8343eca889
SHA1: 067b979cbc2d43ae45ab19998cbfbf2d1c771736
SHA256: fb7ab1c66454a0fd3e1f7d35e22a1256d423766e545fd32b60208e80c9871f49
SHA512: 69cc97a7c8a233febe7c7a522d1c112589117fd20f237411df537d5e0498ba35dbdd5067ac8c02c4857dede1044402297250d14b3e44f9137f4b254ca34c7fa4
Homepage: https://cran.r-project.org/package=growthPheno
Description: CRAN Package 'growthPheno' (Functional Analysis of Phenotypic Growth Data to Smooth andExtract Traits)
 Assists in the plotting and functional smoothing of traits measured over
 time and the extraction of features from these traits, implementing the SET
 (Smoothing and Extraction of Traits) method described in Brien et al. (2020)
 Plant Methods, 16. Smoothing of growth trends for individual plants using
 natural cubic smoothing splines or P-splines is available for removing
 transient effects and segmented smoothing is available to deal with
 discontinuities in growth trends. There are graphical tools for assessing
 the adequacy of trait smoothing, both when using this and other packages,
 such as those that fit nonlinear growth models. A range of per-unit (plant,
 pot, plot) growth traits or features can be extracted from the data,
 including single time points, interval growth rates and other growth
 statistics, such as maximum growth or days to maximum growth.  The package
 also has tools adapted to inputting data from high-throughput phenotyping
 facilities, such from a Lemna-Tec Scananalyzer 3D (see
 <https://www.youtube.com/watch?v=MRAF_mAEa7E/> for more information). The
 package 'growthPheno' can also be installed from
 <http://chris.brien.name/rpackages/>.

Package: r-cran-growthrate
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-clime, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-growthrate_1.3-1.ca2004.1_all.deb
Size: 71716
MD5sum: 6aac628a6ea4f9cee74fb34c729c498b
SHA1: 195da1c9458eb318a500ed7321e71977d62b2966
SHA256: 7437389afa48e9ecb3760e9ae030f4bf33c17c05bb5d56e3c8ebd05e591dd616
SHA512: d62cab7f6036a6405251e5f1d03c8d2dbf2317338ca47b34d2a4fc8d187bca9a16cdce646a0cdc0c0d5ec6022e5d1bb67ab61ee8d8802dce6a400b546158d2e5
Homepage: https://cran.r-project.org/package=growthrate
Description: CRAN Package 'growthrate' (Bayesian reconstruction of growth velocity)
 A nonparametric empirical Bayes method for recovering gradients (or growth
 velocities) from observations of smooth functions (e.g., growth curves) at
 isolated time points.

Package: r-cran-grpipe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dplyr, r-cran-magrittr, r-cran-rsvg, r-cran-png
Filename: pool/dists/focal/main/r-cran-grpipe_0.1.0-1.ca2004.1_all.deb
Size: 19876
MD5sum: 59ba3474400e2ef3e94070b262a2f7c6
SHA1: 8e5ca474b0bfa2a4f892a6d01faf6b1c0f4a158f
SHA256: bab4d0dc138bd3dd8c0aca9d9f371171e093a4b403df1d68b7e7b24d1d4b72ca
SHA512: 7a2eb7258e8d91ba4a60cb431301aa9ebe15968d54cdc97fb30d96d1af57915c73d7dd3b25e27196e692ccefb1a33d969ff7e002a773610246c30ae83fb63e6d
Homepage: https://cran.r-project.org/package=grPipe
Description: CRAN Package 'grPipe' (Graphviz Pipeline Plot Based on Grids (grPipe: GraphvizPipeline))
 Create a grid-based graphviz using the following functions: 1 - Creating the
 data.frame where the nodes are; 2 - Adding and editing nodes; 3 - Plotting
 these nodes.

Package: r-cran-grplasso
Architecture: all
Version: 0.4-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grplasso_0.4-7-1.ca2004.1_all.deb
Size: 195652
MD5sum: 25e036d44b8c6c8187d879e56a97b741
SHA1: 2557a960ef45a4ef37e03a8a9122d030168ebb9b
SHA256: 85cfed20f6ff8c1b74c79574d52b484ebfcdb9bf9a2198d8ddebc8d0626f97fe
SHA512: 10ca50651fc5056ca190a56917f3da4c7616bb8ab2e9415d8043863ef5ffaf4e06fd9aed56d973732bfd2bfbfb2eb8338bdc6f344dd87af31f557225d6cd4ec1
Homepage: https://cran.r-project.org/package=grplasso
Description: CRAN Package 'grplasso' (Fitting User-Specified Models with Group Lasso Penalty)
 Fits user-specified (GLM-) models with group lasso penalty.

Package: r-cran-grplassocat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grplasso
Filename: pool/dists/focal/main/r-cran-grplassocat_1.0-1.ca2004.1_all.deb
Size: 134244
MD5sum: 448f2dd55a730978f30ae7b2aaf759b8
SHA1: d9630b490b2508e2c48f57f2d6e3007f7f4b2570
SHA256: 2158098c6bb90e54ad7debe65cf298bc72b30824d88ff832e900ea8f84d7d4a1
SHA512: 98407e1c54bc6e5bec9e0b4d5f42cbcc469766a553956d07c9d869469030554e9a0ef7ce1edbcd54e442d24b8f97e89ce74669f27d57ec4791949678eed3da4b
Homepage: https://cran.r-project.org/package=grplassocat
Description: CRAN Package 'grplassocat' (Standardization for Group Lasso Models with CategoricalPredictors)
 Implements the simple and computationally efficient standardization scheme
 for group lasso models with categorical predictors described in Detmer,
 Cebral, Slawski (2019) <arXiv:1805.06915>.

Package: r-cran-grpseq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grpseq_1.0-1.ca2004.1_all.deb
Size: 73472
MD5sum: 3d2e64f094d74af25b8e732b1e1af1cc
SHA1: 1d1e65be08042be3b8df3989b55755845b336588
SHA256: 1c5e56d310a811918f8890c92285e08fbba7925f259affe93a759696af9d2ecc
SHA512: f15627aed5ff8b4d0d1a27d64bb3f13436173e2d21d1c2893baf54bdfe03975b0b0e3ed190b385f80c7bf9e5273fb0c5383cdefb298ada6a3dceaeaa9efd469d
Homepage: https://cran.r-project.org/package=grpseq
Description: CRAN Package 'grpseq' (Group Sequential Analysis of Clinical Trials)
 Design of group sequential trials, including non-binding futility analysis
 at multiple time points (Gallo, Mao, and Shih, 2014,
 <doi:10.1080/10543406.2014.932285>).

Package: r-cran-grpstring
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-rcpp, r-cran-cluster
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-grpstring_0.3.2-1.ca2004.1_all.deb
Size: 131828
MD5sum: 3c2cb6950d554c3e8e5e67cebcf72827
SHA1: 2c8b7e19632041115bb324135895f09382ccc668
SHA256: 80371814139a835b442ad991d7d424dfa81187aa98df312e0762f9ee3c55708a
SHA512: b20f64f16608152cbe00b5a736127500ddad7593d839ee9cf9dbc51571f32a236d959bc62dd86c857bfd78cc9f36a8ee71af9b874817f5c9fbe87178ea30f70c
Homepage: https://cran.r-project.org/package=GrpString
Description: CRAN Package 'GrpString' (Patterns and Statistical Differences Between Two Groups ofStrings)
 Methods include converting series of event names to strings, finding common
 patterns in a group of strings, discovering featured patterns when comparing
 two groups of strings as well as the number and starting position of each
 pattern in each string, obtaining transition matrix, computing transition
 entropy, statistically comparing the difference between two groups of
 strings, and clustering string groups. Event names can be any action names
 or labels such as events in log files or areas of interest (AOIs) in eye
 tracking research.

Package: r-cran-grptests
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-randomforest, r-cran-mass, r-cran-rptests, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-grptests_0.1.2-1.ca2004.1_all.deb
Size: 35356
MD5sum: 6faf8e1b200a3ae801051f429416bdfd
SHA1: d33e4204bfc865a6c39820e0c6e42784ee2a8aa8
SHA256: 04a14d099041d3f406c781da76c35ca1f165b7b92ce4a4b3ac15de92f940a76c
SHA512: 46767b893e3d9bea02abb2b39dd150c0bb77eee444a3adb66a9b704fe28d8c1902486ec59993b116b65b0dabe06f808e3420177a7080757c172581d4628cb790
Homepage: https://cran.r-project.org/package=GRPtests
Description: CRAN Package 'GRPtests' (Goodness-of-Fit Tests in High-Dimensional GLMs)
 Methodology for testing nonlinearity in the conditional mean function in
 low- or high-dimensional generalized linear models, and the significance of
 (potentially large) groups of predictors. Details on the algorithms can be
 found in the paper by Jankova, Shah, Buehlmann and Samworth (2019)
 <arXiv:1908.03606>.

Package: r-cran-grs.test
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-grs.test_1.2-1.ca2004.1_all.deb
Size: 129256
MD5sum: 4db88783fba3b97681905f4008453329
SHA1: 67ec5588839e628dac26feb32317750a983af315
SHA256: 020d242fbd75d4d5cd41018cb6291d0a778f69127a0d515cee132327f1f884b0
SHA512: 0f0d8dcc1810c07b1c7c75b561fe6e077244c08c1a87e8c3938ab23af23e8a40847cb9093e9af1be6832d49c670d95ebde8cc3a1cc94390183a62671372f2d05
Homepage: https://cran.r-project.org/package=GRS.test
Description: CRAN Package 'GRS.test' (GRS Test for Portfolio Efficiency, Its Statistical PowerAnalysis, and Optimal Significance Level Calculation)
 Computational resources for test proposed by Gibbons, Ross, Shanken
 (1989)<DOI:10.2307/1913625>.  It also has the functions for the power
 analysis and the choice of the optimal level of significance.  The optimal
 level is determined by minimizing the expected loss from hypothesis testing.

Package: r-cran-grshiny
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinywidgets, r-cran-bslib, r-cran-dt, r-cran-lavaan, r-cran-mirt, r-cran-sirt, r-cran-ggplot2, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-purrr, r-cran-data.table, r-cran-mass, r-cran-flextable, r-cran-gt, r-cran-officer, r-cran-openxlsx, r-cran-sass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-grshiny_1.0.0-1.ca2004.1_all.deb
Size: 186216
MD5sum: 147cfaf4ba68c7a189e30dabfe4d17b1
SHA1: 33b4fbb5edb9f2410482d4cec9deeb410a99e25a
SHA256: f2de395a105933e482cea3461d0005b21db61d4f5e35da7b0834817697e6aeaf
SHA512: 874ecd06db747e9a2d28d91c513e91be6c452546e45033e2519aefe583eee599dff3029516a204661eba8c45e3db8213ed3cca069539ce1f7161fb8a8536e3fb
Homepage: https://cran.r-project.org/package=GRShiny
Description: CRAN Package 'GRShiny' (Graded Response Model)
 Simulation and analysis of graded response data with different types of
 estimators. Also, an interactive shiny application is provided with graphics
 for characteristic and information curves. Samejima (2018)
 <doi:10.1007/978-1-4757-2691-6_5>.

Package: r-cran-grsxe
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-grsxe_1.0.1-1.ca2004.1_all.deb
Size: 24124
MD5sum: e4bfc00d13f47b369e18f9a47ecd9d06
SHA1: 53a9f2e776aeddcf07e16b91784dc34d1ab88e1c
SHA256: 2007a62a0418effb5f0195579d4bb5a9a440b61dfc754d51f9dc9d2bf2214db6
SHA512: 8ccc93923d0ea81da052d47d6a868311bbab7df3643ccc5c7ef1ad416e1633c3d152b0d8fa7c5818a54f71031e6356cff22cd4b6b49ed121f886dcac8079ad62
Homepage: https://cran.r-project.org/package=GRSxE
Description: CRAN Package 'GRSxE' (Testing Gene-Environment Interactions Through Genetic RiskScores)
 Statistical testing procedures for detecting GxE (gene-environment)
 interactions. The main focus lies on GRSxE interaction tests that aim at
 detecting GxE interactions through GRS (genetic risk scores). Moreover, a
 novel testing procedure based on bagging and OOB (out-of-bag) predictions is
 implemented for incorporating all available observations at both GRS
 construction and GxE testing (Lau et al., 2023,
 <doi:10.1038/s41598-023-28172-4>).

Package: r-cran-grt
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-rgl, r-cran-misc3d
Filename: pool/dists/focal/main/r-cran-grt_0.2.1-1.ca2004.1_all.deb
Size: 237488
MD5sum: 2bc91109cd1edaa8bd58b59020268971
SHA1: a086a84a54ff4b743d5efc1c83392ccb236dcc52
SHA256: 9e01afb8fbae208cd8a2c915615cc741edccda63c09e1682b7f10e576bb1eb1a
SHA512: 2c98f9a5ad95a16750d815375f304612bcb7880aeb1004c7c632801311ec607eb0046ba2ffd01e4f5d53bd233808d74b3411859e94c2fb50271302e8ad9f5665
Homepage: https://cran.r-project.org/package=grt
Description: CRAN Package 'grt' (General Recognition Theory)
 Functions to generate and analyze data for psychology experiments based on
 the General Recognition Theory.

Package: r-cran-grto
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bootstrap
Filename: pool/dists/focal/main/r-cran-grto_1.3-1.ca2004.1_all.deb
Size: 167824
MD5sum: 1ec97558d910c59111c94f827ed3971e
SHA1: 4a89d8b75c15879ce7ff307619a118ff14d2dae6
SHA256: 953c75271178d506bc6086b30fd4a92ad8dca9570e87ecdc78c3bc5197ade6b2
SHA512: c08b6010602119e57f0453f33138e45f159b04f98c8d870d330e7d5837d8923b7d9d2d4bcbc77234459cd8227d25857d122fc1c17ed14130c40d0bfc055f8fb0
Homepage: https://cran.r-project.org/package=GRTo
Description: CRAN Package 'GRTo' (Tools for the Analysis of Gutenberg-Richter Distributions ofEarthquake Magnitudes)
 Offers functions for the comparison of Gutenberg-Richter b-values. Several
 functions in GRTo are helpful for the assessment of the quality of
 seismicity catalogs.

Package: r-cran-gsa.un
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3086
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gsa.un_1.0.0-1.ca2004.1_all.deb
Size: 3103440
MD5sum: 11d7e621313d00490b99084e0b7f840f
SHA1: 99f9b86c6adf0becb3f4f0b93a2edc92685eb50a
SHA256: 55eb41f353389b083caf47b92fbcc223adc6013f5ebc83724a91e0316058413f
SHA512: 2cecc2b729ff2925239056a19260b108c3b4adb487e8a6675bb6685d95f0b6badb943d25e4160642d3d5d10ec3f326bc09682f22a71de0cf92c70c9f150332be
Homepage: https://cran.r-project.org/package=GSA.UN
Description: CRAN Package 'GSA.UN' (Global Sensitivity Analysis Tool)
 A tool to sensitivity analysis using SOBOL (Sobol, 1993) and AMA (Dell'Oca
 et al. 2017 <doi:10.5194/hess-21-6219-2017>) indices.  It allows to identify
 the most sensitive parameter or parameters of a model.

Package: r-cran-gsa
Architecture: all
Version: 1.03.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-bioc-impute
Filename: pool/dists/focal/main/r-cran-gsa_1.03.3-1.ca2004.1_all.deb
Size: 100996
MD5sum: c26f6852680ddd7d68e1503e994db6e7
SHA1: cdb94c889ed8b7eba6fd0ad05f76bdfb74c20c73
SHA256: e8ec4467fe1a3610a1b9a825ad0b69ed6cc0264cc7c4058df3a2b106c0634f0f
SHA512: fa440e3c7945d4b6193fd02ad182769a797a3400954f475389513cd110fc13f5f7aeb80679cef935d6c09bf331b6c1693805c9ca4f1342621ba4b9cbb7a583d7
Homepage: https://cran.r-project.org/package=GSA
Description: CRAN Package 'GSA' (Gene Set Analysis)
 Gene Set Analysis.

Package: r-cran-gsafishercombined
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gsafishercombined_1.0-1.ca2004.1_all.deb
Size: 25640
MD5sum: 5ac3bc16e78f3e7e7cd600470b423fa5
SHA1: c19cb8ac09d916360dbc28ef6d89378b88fde304
SHA256: d660d36922a988a3c7e9c95ee3607bb21e5f178ba383d7bb968740681b555de4
SHA512: cf4fcc39a97c426794de9f86856f64f969729af0301ea5e2508af54cbe95cd43ce2bb737ab11193b688eb24badeec2d8f48fe1748c4cd6b7f36ad733ae418ae8
Homepage: https://cran.r-project.org/package=GSAfisherCombined
Description: CRAN Package 'GSAfisherCombined' (Gene Set Analysis with Fisher Combined Method)
 Provides the p-value for a joint test of association between a phenotype and
 a set of genetic variants (SNPs) by combining marginal p-values using the
 Fisher method. See Fisher, R.A. (1925,ISBN:0-05-002170-2) Statistical
 Methods for Research Workers.

Package: r-cran-gsagm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-bioc-edger
Filename: pool/dists/focal/main/r-cran-gsagm_1.0-1.ca2004.1_all.deb
Size: 45148
MD5sum: 1075f0d0776673b4628e3f915d8ce729
SHA1: 9dbe873084bf2ec3293e9b42d6c52aaca0e0049e
SHA256: b27f648a23081b95a39289a73a9be2269866f85634214e4ebebf33d830d9d6a7
SHA512: adb88449ee8eb426ca209a8dece486303301f8fea6f42119d8ae2959ba8795c96ae009ef7eab93691809f174bdb90d9b4b16bc4a5ac7a219ea8809271a0fd531
Homepage: https://cran.r-project.org/package=GSAgm
Description: CRAN Package 'GSAgm' (Gene Set Analysis using the Gamma Method)
 GSAgm is an R package that completes a self-contained gene set analysis
 (GSA) for RNA-seq and SNP data using the Gamma Method.

Package: r-cran-gsalib
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gsalib_2.2.1-1.ca2004.1_all.deb
Size: 29892
MD5sum: 6ff75cf138e6cd5388fd91efe3e41f69
SHA1: 383b484c23a1cedacb0fa4913b0b64e37f0f099c
SHA256: 32dd844c006daad9a67ade583303f92bac5e1de088ca07420d1fd7305507c4df
SHA512: 7c01d7c82178aeb37c1603b235621c66f10ca0614b3bfe13d25c2abeaf4b46a0b2ccf9713ebc09320f427bc9302979562de40fbc120ba14fd09d9e30be97b402
Homepage: https://cran.r-project.org/package=gsalib
Description: CRAN Package 'gsalib' (Utility Functions for 'GATK')
 Provides utility functions used by the Genome Analysis Toolkit ('GATK') to
 load tables and plot data. The 'GATK' is a toolkit for variant discovery in
 high-throughput sequencing data.

Package: r-cran-gsaq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gsaq_1.0-1.ca2004.1_all.deb
Size: 124860
MD5sum: de5af508f09f149030f86951806c9e42
SHA1: 31213c8926500697217b0d8d1dc305f0803e0051
SHA256: 830c4d9a218b831b4f473c96d4fe7f050265878049a1ac2c383ead2151a6d854
SHA512: 2159052fc476aca202d27f7056fb0be974c9b75d8359eaffc2ec7169f9f0e0d1aaf4f3da4e6358dbdbf2906ef55d552aef04ce8095f9dd431fc275371b28ef5d
Homepage: https://cran.r-project.org/package=GSAQ
Description: CRAN Package 'GSAQ' (Gene Set Analysis with QTL)
 Computation of Quantitative Trait Loci hits in the selected gene set.
 Performing gene set validation with Quantitative Trait Loci information.
 Performing gene set enrichment analysis with available Quantitative Trait
 Loci data and computation of statistical significance value from gene set
 analysis. Obtaining the list of Quantitative Trait Loci hit genes along with
 their overlapped Quantitative Trait Loci names.

Package: r-cran-gsarima
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gsarima_0.1-5-1.ca2004.1_all.deb
Size: 40108
MD5sum: 71242e225e24eb0b926f89fdd63d163c
SHA1: 7c00e7ea323b847591994187e665bb1d3e754a8f
SHA256: 53233bda55bf1833d5967f8140b320ef7e9dcb346fd65c82c274a7a05b40d038
SHA512: 1b3181f820ab518ec245223db1c8017f68c0b8dfcd9b5abe17ab2dbec8658ba8cd77b1938f510887784d3832a5440f9c972950cd1365e9a26e4f580de70681c7
Homepage: https://cran.r-project.org/package=gsarima
Description: CRAN Package 'gsarima' (Two Functions for Generalized SARIMA Time Series Simulation)
 Write SARIMA models in (finite) AR representation and simulate generalized
 multiplicative seasonal autoregressive moving average (time) series with
 Normal / Gaussian, Poisson or negative binomial distribution.  The
 methodology of this method is described in Briet OJT, Amerasinghe PH, and
 Vounatsou P (2013) <doi:10.1371/journal.pone.0065761>.

Package: r-cran-gsbdesign
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1289
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gsdesign, r-cran-lattice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gsbdesign_1.0-3-1.ca2004.1_all.deb
Size: 996556
MD5sum: 713206d2fea2eaf5dedbfdf9541d1e17
SHA1: 9cbb19088f60f6d9ec406e85d6833da4b6fdd0b8
SHA256: b57be37094611d1ba01529de7308f2427ed7ef5b7e6f97ee21d39684db55e67f
SHA512: 4b62fd426fcddda18a3e4925ca0d1972625f7617c779f85b85344a30a5c789a87ef9365ca5db0d67b1fd0a26f314694f674fb6edb97c1402d087b8f9055dac14
Homepage: https://cran.r-project.org/package=gsbDesign
Description: CRAN Package 'gsbDesign' (Group Sequential Bayes Design)
 Group Sequential Operating Characteristics for Clinical, Bayesian two-arm
 Trials with known Sigma and Normal Endpoints, as described in Gerber and
 Gsponer (2016) <doi: 10.18637/jss.v069.i11>.

Package: r-cran-gsbm
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-softimpute, r-cran-rspectra, r-cran-doparallel, r-cran-matrix, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-misssbm, r-cran-rcolorbrewer, r-cran-combinat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gsbm_0.2.2-1.ca2004.1_all.deb
Size: 220848
MD5sum: bb6113dc76b23c347c86b5892c46e304
SHA1: 0f5aca69bb7d6c13a98b2069d6cd1a2d60f8e045
SHA256: c8054b906c01c91f2011eef65908d4ac5d58a028e70b40f20f3d3f5941623dd4
SHA512: 901a71ab425fe036290bc413c86d40eb1c8be9239bd5e17000ac680a830344266e8ee87acc7eb6b2a5896be502ba87fe19a904271fc8027de3a192b0f9d976c0
Homepage: https://cran.r-project.org/package=gsbm
Description: CRAN Package 'gsbm' (Estimate Parameters in the Generalized SBM)
 Given an adjacency matrix drawn from a Generalized Stochastic Block Model
 with missing observations, this package robustly estimates the probabilities
 of connection between nodes and detects outliers nodes, as describes in
 Gaucher, Klopp and Robin (2019) <arXiv:1911.13122>.

Package: r-cran-gscalca
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridextra, r-cran-ggplot2, r-cran-stringr, r-cran-progress, r-cran-psych, r-cran-fastdummies, r-cran-fclust, r-cran-mass, r-cran-devtools, r-cran-foreach, r-cran-dosnow, r-cran-nnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gscalca_0.0.5-1.ca2004.1_all.deb
Size: 138000
MD5sum: f38b53b09e54bfcbe52085ef586d9ff9
SHA1: 074e8d3f0fe89497146e3db097a75118052c73e5
SHA256: a837842f1c421180c9f1470a6e9e7f88c6a70f51bbf0c87bb121e2e6a7e452e9
SHA512: 68fa6b8b861e2f80b510eb43a715519a780fd9ca9038af2a7087306c257fac4615b4ab5d922397c366ddb7ee690842ba4e00a2a73722c5512b84c87f0ec5ba6f
Homepage: https://cran.r-project.org/package=gscaLCA
Description: CRAN Package 'gscaLCA' (Generalized Structure Component Analysis- Latent Class Analysis& Latent Class Regression)
 Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by
 using Generalized Structured Component Analysis (GSCA). This is explained in
 Ryoo, Park, and Kim (2019) <doi:10.1007/s41237-019-00084-6>.  It estimates
 the parameters of latent class prevalence and item response probability in
 LCA with a single line comment. It also provides graphs of item response
 probabilities. In addition, the package enables to estimate the relationship
 between the prevalence and covariates.

Package: r-cran-gscramble
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2208
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-cowplot, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-gscramble_1.0.1-1.ca2004.1_all.deb
Size: 1269680
MD5sum: 96c2d3eb66bbcfb4907b2575d708e09f
SHA1: 1aecc029c634655243da8051fb62e31513ed5e46
SHA256: e249d34c3a7c706439289ed00b6e9b61a6c9bc12dd3c39618bf8ce0d9daf7bc1
SHA512: 6af199d22cdc8e14b9caae3938dce26e90ac0b59cef7f31a61719746f51ab09904df2f6f57007335422cbeabe019011c6e924351f85f2f987052a7bb7f0982bb
Homepage: https://cran.r-project.org/package=gscramble
Description: CRAN Package 'gscramble' (Simulating Admixed Genotypes Without Replacement)
 A genomic simulation approach for creating biologically informed individual
 genotypes from empirical data that 1) samples alleles from populations
 without replacement, 2) segregates alleles based on species-specific
 recombination rates. 'gscramble' is a flexible simulation approach that
 allows users to create pedigrees of varying complexity in order to simulate
 admixed genotypes.  Furthermore, it allows users to track haplotype blocks
 from the source populations through the pedigrees.

Package: r-cran-gsd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-ebayesthresh, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gsd_1.0.0-1.ca2004.1_all.deb
Size: 108912
MD5sum: 76824e2eee23a91836f5518020c9b504
SHA1: 220516349cdc813e41e193d079b0ab22d59cfcbb
SHA256: 42594402297b85a89fa82aeca77ba167530847e92f0d6e7a33cd68d26e07dad1
SHA512: 282c391fc558935911b97d657a8ac0c05eed59649c08bcd71113f6c8671477373f33ba9b42799196372a80c16f7af86b6b23168c873892b92b9e7ae8b8ea1a4b
Homepage: https://cran.r-project.org/package=GSD
Description: CRAN Package 'GSD' (Graph Signal Decomposition)
 Graph signals residing on the vertices of a graph have recently gained
 prominence in research in various fields. Many methodologies have been
 proposed to analyze graph signals by adapting classical signal processing
 tools. Recently, several notable graph signal decomposition methods have
 been proposed, which include graph Fourier decomposition based on graph
 Fourier transform, graph empirical mode decomposition, and statistical graph
 empirical mode decomposition. This package efficiently implements multiscale
 analysis applicable to various fields, and offers an effective tool for
 visualizing and decomposing graph signals. For the detailed methodology, see
 Ortega et al. (2018) <doi:10.1109/JPROC.2018.2820126>, Shuman et al. (2013)
 <doi:10.1109/MSP.2012.2235192>, Tremblay et al. (2014)
 <https://www.eurasip.org/Proceedings/Eusipco/Eusipco2014/HTML/papers/1569922141.pdf>,
 and Cho et al. (2024) "Statistical graph empirical mode decomposition by
 graph denoising and boundary treatment".

Package: r-cran-gsda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msigdbr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gsda_1.0-1.ca2004.1_all.deb
Size: 137072
MD5sum: 6fe83239322c71e5e4df5443e81725d3
SHA1: 29ef458c29c5f9d190596a4fc541f09ab9fd850a
SHA256: 2488c1ba0767a703bbf866e21b85c5aa488763a559d8003a5686ea18591e595f
SHA512: 3c53bd576a7ccebc4a1f6b1f46c3c581e0fb46e469dae620086f6ba47e8730d4716ee49a80f5f529396591a8f555141fd94a4d16972b0c91008f721f9d9b8195
Homepage: https://cran.r-project.org/package=GSDA
Description: CRAN Package 'GSDA' (Gene Set Distance Analysis (GSDA))
 The gene-set distance analysis of omic data is implemented by generalizing
 distance correlations to evaluate the association of a gene set with
 categorical and censored event-time variables.

Package: r-cran-gsdensity
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2326
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-seurat, r-bioc-cellid, r-cran-dnet, r-bioc-suprahex, r-bioc-rgraphviz, r-cran-infotheo, r-cran-anticlust, r-cran-multimode, r-cran-philentropy, r-cran-rann, r-cran-future.apply, r-cran-mass, r-cran-reshape2, r-cran-dplyr, r-cran-igraph, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-gsdensity_0.1.2-1.ca2004.1_all.deb
Size: 2342636
MD5sum: 1b4daf6fbb36e034b32d737f87e41f0a
SHA1: 81b5c8c723c8a199dbc351635569979d8f30f705
SHA256: 827cf45e8394d517890cef4f996a365cf3c9339419885568f9322eaecd776808
SHA512: 2de810a766760916154c229737759532cf06ee3d7e1be478a9e62e6b8af901b7c30d0657f2bcbdbf6605f713545990760d9011385d9c9eedc299d957989947cc
Homepage: https://cran.r-project.org/package=gsdensity
Description: CRAN Package 'gsdensity' (Density-Based Gene Set Specificity Evaluation)
 Analysis frameworks for pathway heterogeneity and pathway activity
 evaluation in single-cell data, including scRNA-seq data and spatial
 genomics data.

Package: r-cran-gseavis
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2582
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-aplot, r-bioc-dose, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpp, r-cran-ggrepel, r-cran-ggsci, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-gseavis_0.0.5-1.ca2004.1_all.deb
Size: 2592720
MD5sum: 136cf725bdd7c002838837e50a206163
SHA1: 937066d4409efce7ddd9154acc24fa476b3fac5c
SHA256: abdefb3c1384bfd70dd15bebbeababc13620bee9e38395b97788bca0b9419081
SHA512: e92c2708d7b18ed3d64680aeb5500760da3c86742ee03a3f53c295eec75a5b937c4df78464002d317ddcc9911e4679d3622ee15f463f8c539597663d31c3baa6
Homepage: https://cran.r-project.org/package=GseaVis
Description: CRAN Package 'GseaVis' (Implement for 'GSEA' Enrichment Visualization)
 Mark your interesting genes on plot and support more parameters to handle
 your own gene set enrichment analysis plot.

Package: r-cran-gsed
Architecture: all
Version: 2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-memoise, r-cran-rootsolve, r-cran-survival, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-gsed_2.6-1.ca2004.1_all.deb
Size: 97956
MD5sum: d453b218d5e2b86da518bbc74a3e4038
SHA1: c1a8f4ae5b42dd0eecb838e4c7440494013b21ba
SHA256: 519e31e587c1e755e2bce883e037cc16c08f0c0d01bbd3300228e3f7f5c52f8b
SHA512: c4be8635846cd024bf7444dde5b86fe13adfb768d8a964e0cb06b87dfc4ad7f01d5ece1dd1cca83606d6019f1ce2d4478290899efabab07e99a5af0020588344
Homepage: https://cran.r-project.org/package=GSED
Description: CRAN Package 'GSED' (Group Sequential Enrichment Design)
 Provides function to apply "Group sequential enrichment design incorporating
 subgroup selection" (GSED) method proposed by Magnusson and Turnbull (2013)
 <doi:10.1002/sim.5738>.

Package: r-cran-gseg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ade4
Filename: pool/dists/focal/main/r-cran-gseg_1.0-1.ca2004.1_all.deb
Size: 280804
MD5sum: 5ab767a4f64d55f39269ea46695690a3
SHA1: 96d5ea764f205a7e477f45d0468a9fc0d470385b
SHA256: 79c722b5e5479225296ed965b7568d4d3c0bf7a1259570fdc05c01e940723a4e
SHA512: 57dfbe54670b2522f1a86e0e1dab7fbc18f877a76642b7a2d7c01b6a0e205b2ebd43c623bb07d54973abe0e46377aa08b95adc541a6d89c9681eef97a6bf85fd
Homepage: https://cran.r-project.org/package=gSeg
Description: CRAN Package 'gSeg' (Graph-Based Change-Point Detection (g-Segmentation))
 Using an approach based on similarity graph to estimate change-point(s) and
 the corresponding p-values.  Can be applied to any type of data
 (high-dimensional, non-Euclidean, etc.) as long as a reasonable similarity
 measure is available.

Package: r-cran-gselection
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sam, r-cran-penalized, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-gselection_0.1.0-1.ca2004.1_all.deb
Size: 67064
MD5sum: 899b9001110a2049024d3a355ddc4edd
SHA1: a4ceacd22d1417500097dca11b871f9a504bdc59
SHA256: 354b360da1993f2d00959ac09d9d281ac5845ad6f1a4994aee7a8f8d68298aa8
SHA512: 92317101685ee381304c98d478f99a98133f61c3893d99125aa144ff84ab377c8ec6af274bca0a34d9c049d2c6abc659a4f5c93270edc0580fb0ba20c44217cf
Homepage: https://cran.r-project.org/package=GSelection
Description: CRAN Package 'GSelection' (Genomic Selection)
 Genomic selection is a specialized form of marker assisted selection. The
 package contains functions to select important genetic markers and predict
 phenotype on the basis of fitted training data using integrated model
 framework (Guha Majumdar et. al. (2019) <doi:10.1089/cmb.2019.0223>)
 developed by combining one additive (sparse additive models by Ravikumar et.
 al. (2009) <doi:10.1111/j.1467-9868.2009.00718.x>) and one non-additive
 (hsic lasso by Yamada et. al. (2014) <doi:10.1162/NECO_a_00537>) model.

Package: r-cran-gsem
Architecture: all
Version: 0.4.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-mass, r-cran-htmlwidgets, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-gsem_0.4.3.4-1.ca2004.1_all.deb
Size: 107592
MD5sum: 45955b8426e608a081d919784ebf5fee
SHA1: 075abb037d2798cb105ffc9a41c2892cfb23fa9a
SHA256: 45f136c8d655ef9dcd2aca0e6043b0c103c72c6efd8c71842676bba242e2ba8b
SHA512: e0e8a93b5c1d646c8bb629097b68e2a5d630980cacb25eaf6b75943441673cd01c2d30eee7acf3b28a4ade732dc0c70587d9ba68217d3162c937179244a7c70c
Homepage: https://cran.r-project.org/package=gSEM
Description: CRAN Package 'gSEM' (Semi-Supervised Generalized Structural Equation Modeling)
 Conducts a semi-gSEM statistical analysis (semi-supervised generalized
 structural equation modeling) on a data frame of coincident observations of
 multiple predictive or intermediate variables and a final continuous,
 outcome variable, via two functions sgSEMp1() and sgSEMp2(), representing
 fittings based on two statistical principles. Principle 1 determines all
 sensible univariate relationships in the spirit of the Markovian process.
 The relationship between each pair of variables, including predictors and
 the final outcome variable, is determined with the Markovian property that
 the value of the current predictor is sufficient in relating to the next
 level variable, i.e., the relationship is independent of the specific value
 of the preceding-level variables to the current predictor, given the current
 value. Principle 2 resembles the multiple regression principle in the way
 multiple predictors are considered simultaneously. Specifically, the
 relationship of the first-level predictors (such as Time and irradiance etc)
 to the outcome variable (such as, module degradation or yellowing) is fit by
 a supervised additive model. Then each significant intermediate variable is
 taken as the new outcome variable and the other variables (except the final
 outcome variable) as the predictors in investigating the next-level
 multivariate relationship by a supervised additive model. This fitting
 process is continued until all sensible models are investigated.

Package: r-cran-gsema
Architecture: all
Version: 0.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4514
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biobase, r-bioc-limma, r-cran-rdpack, r-bioc-singscore, r-bioc-gsva, r-cran-progress, r-cran-pbapply, r-cran-doparallel, r-bioc-biocparallel, r-cran-metafor, r-cran-rcolorbrewer, r-cran-pheatmap, r-cran-scales, r-cran-plyr, r-bioc-impute
Suggests: r-bioc-biocstyle, r-cran-qpdf, r-bioc-biocgenerics, r-cran-runit, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gsema_0.99.3-1.ca2004.1_all.deb
Size: 3830068
MD5sum: 6685247a5bc5dcace85b40c24f803b8a
SHA1: ae6257cbec5d5a1c981ac41833fe53c819795777
SHA256: bc63b7ebefcc4c0d732cc37b95e4ec1a84ecaa1f50cda52c80bf0a7f529361e8
SHA512: a1966e043f6a7e9f499c206810c0d1f80d3f6cb6211f8597c5b9f9640030a7839640f7dd3db8c7d140b814773922ace853d20112807115cc08cf137b913d7507
Homepage: https://cran.r-project.org/package=GSEMA
Description: CRAN Package 'GSEMA' (Gene Set Enrichment Meta-Analysis)
 Performing the different steps of gene set enrichment meta-analysis. It
 provides different functions that allow the application of meta-analysis
 based on the combination of effect sizes from different pathways in
 different studies to obtain significant pathways that are common to all of
 them.

Package: r-cran-gseries
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggtext, r-cran-gridextra, r-cran-lifecycle, r-cran-osqp, r-cran-rlang, r-cran-xmpdf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gseries_3.0.2-1.ca2004.1_all.deb
Size: 658952
MD5sum: 5a204719fbe5a5f2d0437c85a387c747
SHA1: 8f88512cc73f95fc4f21c6c242301be434053b72
SHA256: 970d38ffdbcea3b25e433b75f519b62fdbb9ca12fa493a77e4d5d99293948fc8
SHA512: 473d027563bb98ef230150a85ccff8616c1d5736f4c749c3afd62839e0c2b94e6dac13c75eb3dff221c9d06877d4f8abe431c640d1f56b70ed303c24a5736c3b
Homepage: https://cran.r-project.org/package=gseries
Description: CRAN Package 'gseries' (Improve the Coherence of Your Time Series Data)
 'R' version of 'G-Series', Statistics Canada's generalized system devoted to
 the benchmarking and reconciliation of time series data. The methods used in
 'G-Series' essentially come from Dagum, E. B., and P. Cholette (2006)
 <doi:10.1007/0-387-35439-5>.

Package: r-cran-gset
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-mvtnorm, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-gset_1.1.0-1.ca2004.1_all.deb
Size: 87636
MD5sum: 9d3d810c0cc71a3db77b4078de2400da
SHA1: 88e5bf1902963819c1b53d698564ec54131aa776
SHA256: 4b0947cb7fe431b8b7ddd7fef467d23854e0691533f397ee404d64792579d385
SHA512: 9c725e16386c02acf4de2f9c58f5e98ae0979b6001f05fb2201104e7b6a8ac750c01bf6b9a4e3c8410d4139b61ec487e146bc50c4bf4947e08ebf75a05458dc0
Homepage: https://cran.r-project.org/package=gset
Description: CRAN Package 'gset' (Group Sequential Design in Equivalence Studies)
 calculate equivalence and futility boundaries based on the exact bivariate
 $t$ test statistics for group sequential designs in studies with equivalence
 hypotheses.

Package: r-cran-gsheet
Architecture: all
Version: 0.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-stringr
Suggests: r-cran-testthat, r-cran-readr
Filename: pool/dists/focal/main/r-cran-gsheet_0.4.6-1.ca2004.1_all.deb
Size: 17332
MD5sum: 0fc3ca10329d952aa6102c5b391964e0
SHA1: 495ff56c452eaa34fd57429bb81cfe31a4737f77
SHA256: b31080212ceed7c4d3ca782c23163d8fa19b883960a2e5c941d8b24bb6defe84
SHA512: 9e316af7fed364a2221d88f27a22200a14210101ab301d72a9c241cd8bce4c53c8010ca97f0ddc46e55fa868276a8d24c52cf6fb4bc041284d8f7f5705e9ffff
Homepage: https://cran.r-project.org/package=gsheet
Description: CRAN Package 'gsheet' (Download Google Sheets Using Just the URL)
 Simple package to download Google Sheets using just the sharing link.
 Spreadsheets can be downloaded as a data frame, or as plain text to parse
 manually. Google Sheets is the new name for Google Docs Spreadsheets
 <https://www.google.com/sheets/about>.

Package: r-cran-gsloid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gsloid_0.2.0-1.ca2004.1_all.deb
Size: 237108
MD5sum: 08bdd472363bcb1aaec02b4e8b8a05f2
SHA1: b1bb148a598cac86ed968d2aa15b32492ebb6403
SHA256: 7d0c83f5944dfa150432d4641def19bb5458aae1e1c98981213ee69b5af193c7
SHA512: f7f1cdd434459b6369fb8e2c4b74491ff7bddba7144c136f539c142ec789abc19f0dfe288cfe6127b1ae3b6e64fe37b6cdb8f1f501067c8b2073e15b2ffed9bc
Homepage: https://cran.r-project.org/package=gsloid
Description: CRAN Package 'gsloid' (Global Sea Level and Oxygen Isotope Data)
 Contains published data sets for global benthic d18O data for 0-5.3 Myr
 <doi:10.1029/2004PA001071> and global sea levels based on marine sediment
 core data for 0-800 ka <doi:10.5194/cp-12-1-2016>.

Package: r-cran-gsm
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-gsm_1.3.2-1.ca2004.1_all.deb
Size: 136196
MD5sum: ccb65adfad1d240b67fc5427c2bab3d9
SHA1: 6c94e942e19f6c55f2f8ea45f83c1764a7e1e003
SHA256: 504ad330d7475a03a937a45c21a7e4490497414a18dfa4130bfe30dc84ebbbb8
SHA512: 8896b6d0bb313f6854064dfa3ba5346dba09ee867982e6a207fcedde711c8cbac6a6a43a89546f4c030560f35355ca14ddd8b40189ab15a7c391811e2f9b0a84
Homepage: https://cran.r-project.org/package=GSM
Description: CRAN Package 'GSM' (Gamma Shape Mixture)
 Implementation of a Bayesian approach for estimating a mixture of gamma
 distributions in which the mixing occurs over the shape parameter. This
 family provides a flexible and novel approach for modeling heavy-tailed
 distributions, it is computationally efficient, and it only requires to
 specify a prior distribution for a single parameter.

Package: r-cran-gsmams
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gsmams_0.7.2-1.ca2004.1_all.deb
Size: 153824
MD5sum: 1cc1e89fb273333cc8ded4f7f466214b
SHA1: f2791c291a4904c657fa38a8cc4d29c1b55ac4d9
SHA256: 096f82195197cd6b2a11bde79cb64286be274f77c637ee07fdb2683552082d93
SHA512: 3fbd5e581fd94e7320acb72b312d875a4f6eacf6c4069f6abae8e02136557ac9b87a122156879bee892c2b9060536d3e3f984677ee4a3c8f5937ce90d29e2563
Homepage: https://cran.r-project.org/package=gsMAMS
Description: CRAN Package 'gsMAMS' (Group Sequential Designs of Multi-Arm Multi-Stage Trials)
 It provides functions to generate operating characteristics and to calculate
 Sequential Conditional Probability Ratio Tests(SCPRT) efficacy and futility
 boundary values along with sample/event size of Multi-Arm Multi-Stage(MAMS)
 trials for different outcomes. The package is based on Jianrong Wu, Yimei
 Li, Liang Zhu (2023) <doi:10.1002/sim.9682>, Jianrong Wu, Yimei Li (2023)
 "Group Sequential Multi-Arm Multi-Stage Survival Trial Design with Treatment
 Selection"(Manuscript accepted for publication) and Jianrong Wu, Yimei Li,
 Shengping Yang (2023) "Group Sequential Multi-Arm Multi-Stage Trial Design
 with Ordinal Endpoints"(In preparation).

Package: r-cran-gsmx
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-gsmx_1.3-1.ca2004.1_all.deb
Size: 28300
MD5sum: 08735c9b81ee3c0d012fc20c07195e19
SHA1: 5f32b1ff2e701514a5eb00ea43c02c701e9bdc1a
SHA256: c5c9024e0102c1325463d71c331a9388482720658cee453630960e824d62b866
SHA512: 3ba4c11b432945f2d973fc5e10653b06c89040de6d9a194301e1791ccbe70defd3db9c6cb15aed1c0e7b399ba07576633a88c629356a13e5734aa62c855f7ea6
Homepage: https://cran.r-project.org/package=GSMX
Description: CRAN Package 'GSMX' (Multivariate Genomic Selection)
 Estimating trait heritability and handling overfitting. This package
 includes a collection of functions for (1) estimating genetic
 variance-covariances and calculate trait heritability; and (2) handling
 overfitting by calculating the variance components and the heritability
 through cross validation.

Package: r-cran-gsodr
Architecture: all
Version: 4.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4360
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-curl, r-cran-data.table, r-cran-r.utils, r-cran-withr
Suggests: r-cran-bit64, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-mapproj, r-cran-maps, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-gsodr_4.1.3-1.ca2004.1_all.deb
Size: 4160816
MD5sum: a0ce0a426abecfd28fc98cc577dc5a6f
SHA1: 09a4adf1d04f58dace588622f4eb494f451f54d9
SHA256: 501216b79cb899b1a73938e08c1af7be3d8d109cd6f2296c1987b3df3fa668d3
SHA512: 48029de39067194b45643ca98a8da57a20566a27c46bd22a3984a86c8ef94b397501ce6b1d9f92dd37c04c8459ec897bcd49912525ddf0e4a58eb2ad6d3f2929
Homepage: https://cran.r-project.org/package=GSODR
Description: CRAN Package 'GSODR' (Global Surface Summary of the Day ('GSOD') Weather Data Client)
 Provides automated downloading, parsing, cleaning, unit conversion and
 formatting of Global Surface Summary of the Day ('GSOD') weather data from
 the from the USA National Centers for Environmental Information ('NCEI').
 Units are converted from from United States Customary System ('USCS') units
 to International System of Units ('SI').  Stations may be individually
 checked for number of missing days defined by the user, where stations with
 too many missing observations are omitted.  Only stations with valid
 reported latitude and longitude values are permitted in the final data.
 Additional useful elements, saturation vapour pressure ('es'), actual vapour
 pressure ('ea') and relative humidity ('RH') are calculated from the
 original data using the improved August-Roche-Magnus approximation (Alduchov
 & Eskridge 1996) and included in the final data set.  The resulting metadata
 include station identification information, country, state, latitude,
 longitude, elevation, weather observations and associated flags.  For
 information on the 'GSOD' data from 'NCEI', please see the 'GSOD'
 'readme.txt' file available from,
 <https://www1.ncdc.noaa.gov/pub/data/gsod/readme.txt>.

Package: r-cran-gson
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-gson_0.1.0-1.ca2004.1_all.deb
Size: 202988
MD5sum: cf05382102281aa29971ee72f27eaced
SHA1: 3bfe507301b1ffc5bfecccb1037c1ac2e3735c39
SHA256: e14bac348fbfdcd7d8d6274087bdd37ebb37f46b9e2e2d69c9d3bf4198502ec0
SHA512: 3544348c487a594331dd4c87245d6fee9c8cdefcad84d692a5d71ecdbcb931441548d3eebb1979afc702f7072678fe50756dbc51bad5d0cfac6f2cd1afd07169
Homepage: https://cran.r-project.org/package=gson
Description: CRAN Package 'gson' (Base Class and Methods for 'gson' Format)
 Proposes a new file format ('gson') for storing gene set and related
 information, and provides read, write and other utilities to process this
 file format.

Package: r-cran-gsparo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-threeway, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-gsparo_1.0-1.ca2004.1_all.deb
Size: 18284
MD5sum: 65e3fd94f650be83e29fd10b66bff2aa
SHA1: de4a818048c9906b89b21e4ec7bb98072e3380cb
SHA256: 2c5a93b755f1439d2310fec8699d9c3c915dc0f1802c4a6302397a0a45ebf798
SHA512: 4e70047904dc62006e4e5bf3a9e136ffa994f794fe7e79cb4c0c29e1f62b7c776d507a21bcbe84c3338a58ccc1985c1cc048213634f5ab7cf1be2aa4df23388b
Homepage: https://cran.r-project.org/package=GSparO
Description: CRAN Package 'GSparO' (Group Sparse Optimization)
 Approaches a group sparse solution of an underdetermined linear system. It
 implements the proximal gradient algorithm to solve a lower regularization
 model of group sparse learning. For details, please refer to the paper "Y.
 Hu, C. Li, K. Meng, J. Qin and X. Yang. Group sparse optimization via
 l_{p,q} regularization. Journal of Machine Learning Research, to appear,
 2017".

Package: r-cran-gspcr
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2848
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-factominer, r-cran-ggplot2, r-cran-mass, r-cran-mlmetrics, r-cran-nnet, r-cran-pcamixdata, r-cran-reshape2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-lmtest, r-cran-patchwork, r-cran-rmarkdown, r-cran-superpc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gspcr_0.9.5-1.ca2004.1_all.deb
Size: 2530408
MD5sum: ff90e9831594e66257d08c8910b01a3d
SHA1: cf8349b0ea6f13bd6a74ae3be4671ce4c284a5b0
SHA256: 9fc0b4d957721cf1b9b83436e4fcb59105cfc7a1728d52f3f68d825a1fea1959
SHA512: 3fefc769eec660fc4de78e889ef10e934ad84acf036e22db30214df81545a4866a2ce6027b475b04776c62fca39200037733454fedbde0cdeaadcd2480c623e7
Homepage: https://cran.r-project.org/package=gspcr
Description: CRAN Package 'gspcr' (Generalized Supervised Principal Component Regression)
 Generalization of supervised principal component regression (SPCR; Bair et
 al., 2006, <doi:10.1198/016214505000000628>) to support continuous, binary,
 and discrete variables as outcomes and predictors (inspired by the 'superpc'
 R package <https://cran.r-project.org/package=superpc>).

Package: r-cran-gsrs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 581
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gsrs_0.1.1-1.ca2004.1_all.deb
Size: 262284
MD5sum: 55d59e91cabea50e29f56051aecdcda6
SHA1: d1291841d1cc5a0f16b76102c78accb4f89d1aaf
SHA256: fc6460e20514c4f6fffacf98d8c44418083483b17d558faa12ce2caec4ff77a9
SHA512: e3dde1de19df9ec79ff5c7acd337b7f523800da0e4655c4dd173947cabad15cac92c90e0560ce53234cfc14dcbb1a82da26a951e2c0e31edb7c38009f5b16066
Homepage: https://cran.r-project.org/package=gsrs
Description: CRAN Package 'gsrs' (A Group-Specific Recommendation System)
 A group-specific recommendation system to use dependency information from
 users and items which share similar characteristics under the singular value
 decomposition framework. Refer to paper A Group-Specific Recommender System
 <doi:10.1080/01621459.2016.1219261> for the details.

Package: r-cran-gsrsb
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-ldbounds, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-gsrsb_1.2.1-1.ca2004.1_all.deb
Size: 88524
MD5sum: faa4d9c692f067d9c4f427146c5e2d84
SHA1: 2048ed866136b48d5137b224de554245ccd0f3c8
SHA256: 78c47a87736ce3f2b7dc9328f9a7fe43d9f42745aec573dd123ce381ed35f200
SHA512: 3ac9e2b2c5412cbb1d4138d7a505707a5d179151e91159aba1146c60fd386de5be1f0ce71259c5d15986aff581d181d4e59db58e5204fc69ae6283af12cf6907
Homepage: https://cran.r-project.org/package=gsrsb
Description: CRAN Package 'gsrsb' (Group Sequential Refined Secondary Boundary)
 A gate-keeping procedure to test a primary and a secondary endpoint in a
 group sequential design with multiple interim looks. Computations related to
 group sequential primary and secondary boundaries. Refined secondary
 boundaries are calculated for a gate-keeping test on a primary and a
 secondary endpoint in a group sequential design with multiple interim looks.
 The choices include both the standard boundaries and the boundaries using
 error spending functions.  See Tamhane et al. (2018), "A gatekeeping
 procedure to test a primary and a secondary endpoint in a group sequential
 design with multiple interim looks", Biometrics, 74(1), 40-48.

Package: r-cran-gsse
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso, r-cran-zoo
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-gsse_0.1-1.ca2004.1_all.deb
Size: 67220
MD5sum: 8b196d81c6971f96ec2f2e0c4b1fff9b
SHA1: 4bfe29bca3dbc07d84b6cee02ce466e2a87a34c2
SHA256: a7880294f8a011c8edac15dae08e560616d91a6209fc558e42bd7b7192847481
SHA512: 650ed9c5d8bbce1faf8426a9f98662177896d0d3e9894dd9f211154e992c83d4b60fc779c3d77099b8af1ebf66dc0f83ebb5c262e190411a85dbb66cccd930d8
Homepage: https://cran.r-project.org/package=GSSE
Description: CRAN Package 'GSSE' (Genotype-Specific Survival Estimation)
 We propose a fully efficient sieve maximum likelihood method to estimate
 genotype-specific distribution of time-to-event outcomes under a
 nonparametric model. We can handle missing genotypes in pedigrees.  We
 estimate the time-dependent hazard ratio between two genetic mutation groups
 using B-splines, while applying nonparametric maximum likelihood estimation
 to the reference baseline hazard function.  The estimators are calculated
 via an expectation-maximization algorithm.

Package: r-cran-gsstda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4963
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-survival, r-cran-visnetwork, r-bioc-complexheatmap, r-cran-circlize, r-cran-devtools
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gsstda_1.0.0-1.ca2004.1_all.deb
Size: 4047996
MD5sum: 0eee72cebd65f16d3473cf759382f826
SHA1: f3a4833046e535b2cd0a3f4eff07805d08f4893e
SHA256: 9121c063115fee099c97b1dd8fda98a77b06f639dfb6c91338caddccd9489681
SHA512: bc04bb8880aceca152f4f5bf092a2263dc7d27acd0882f5748f762a042b10c52d15c3d911ccafb5821616e19b670ea85f90cbd091de2222d073ed18e941a9555
Homepage: https://cran.r-project.org/package=GSSTDA
Description: CRAN Package 'GSSTDA' (Progression Analysis of Disease with Survival using TopologicalData Analysis)
 Mapper-based survival analysis with transcriptomics data is designed to
 carry out.  Mapper-based survival analysis is a modification of Progression
 Analysis of Disease (PAD) where survival data is taken into account in the
 filtering function. More details in: J. Fores-Martos, B. Suay-Garcia, R.
 Bosch-Romeu, M.C. Sanfeliu-Alonso, A. Falco, J. Climent, "Progression
 Analysis of Disease with Survival (PAD-S) by SurvMap identifies different
 prognostic subgroups of breast cancer in a large combined set of
 transcriptomics and methylation studies" <doi:10.1101/2022.09.08.507080>.

Package: r-cran-gstar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-xts, r-cran-zoo, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gstar_0.1.0-1.ca2004.1_all.deb
Size: 51444
MD5sum: 73bf1620c8c5dd5beb00d679f620b7f9
SHA1: b537f54cafb7678bb2cac3635d2c77d87e868c7f
SHA256: 272d403a85be8ae834d40082c5231fa697669b31124350da4d16d7c12a4791f8
SHA512: 9029ef105f32de0fbbea53098ec02ff5b4a78fc04c15e18502dbe7ef6e241b333dcfb20e3bf2a9f7c26664671416e0b711e1f59473df23cd7f81e46d730cb600
Homepage: https://cran.r-project.org/package=gstar
Description: CRAN Package 'gstar' (Generalized Space-Time Autoregressive Model)
 Multivariate time series analysis based on Generalized Space-Time
 Autoregressive Model by Ruchjana et al.(2012) <doi:10.1063/1.4724118>.

Package: r-cran-gstream
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gstream_0.2.0-1.ca2004.1_all.deb
Size: 122756
MD5sum: a3eae5a0c418efbff1a46a59c3e38dd8
SHA1: 5cd289e1f01c39170c054bb70b0a7568d9da0684
SHA256: 52887790ae5c60b1cc8ae65bc931c0e63a7a89c402030085b8b2bae9cd288a2b
SHA512: 08a48604c5152ffd9896450932b4a113ff47060e66d1b40c6d571d0f3bbd376af39aa17e5957126b27ac30db9bd59c2e223f0280df4169d7dbc385174d196fc6
Homepage: https://cran.r-project.org/package=gStream
Description: CRAN Package 'gStream' (Graph-Based Sequential Change-Point Detection for Streaming Data)
 Uses an approach based on k-nearest neighbor information to sequentially
 detect change-points. Offers analytic approximations for false discovery
 control given user-specified average run length.  Can be applied to any type
 of data (high-dimensional, non-Euclidean, etc.) as long as a reasonable
 similarity measure is available.  See references (1) Chen, H. (2019)
 Sequential change-point detection based on nearest neighbors. The Annals of
 Statistics, 47(3):1381-1407. (2) Chu, L. and Chen, H. (2018) Sequential
 change-point detection for high-dimensional and non-Euclidean data
 <arXiv:1810.05973>.

Package: r-cran-gstsm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-digest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gstsm_1.0.0-1.ca2004.1_all.deb
Size: 63664
MD5sum: 1378c37d584ffd2bda514a262607e05f
SHA1: aefd3bf89160e1905fe75b5abe3d6863f3c569b8
SHA256: 711ad067d9853182cfc5511b0113b5eb2ef82a4240bc1f27c15ef44a93d51000
SHA512: 7120ae1c25b5e7014dcf0bd97142010e2e6055663d41ac6b4c07e32d38ae2107ebeb29100dacadb61ec56dd8a5a11c88b3057619cd6305e1695c148b11062f89
Homepage: https://cran.r-project.org/package=gstsm
Description: CRAN Package 'gstsm' (Generalized Spatial-Time Sequence Miner)
 Implementations of the algorithms present article Generalized Spatial-Time
 Sequence Miner, original title (Castro, Antonio; Borges, Heraldo ; Pacitti,
 Esther ; Porto, Fabio ; Coutinho, Rafaelli ; Ogasawara, Eduardo .
 Generalização de Mineração de Sequências Restritas no Espaço e no Tempo. In:
 XXXVI SBBD - Simpósio Brasileiro de Banco de Dados, 2021
 <doi:10.5753/sbbd.2021.17891>).

Package: r-cran-gsubfn
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proto
Suggests: r-cran-boot, r-cran-chron, r-cran-lattice, r-cran-quantreg, r-cran-svunit, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-gsubfn_0.7-1.ca2004.1_all.deb
Size: 346552
MD5sum: ab28f267924bd9ac3ba32aa42af2079e
SHA1: 013a43188204d4dfce9b997e6110017a1ef95039
SHA256: b9915a877763fa370c0d98b1e8f17301a5d7479ae3b174260d64177b9c86d6f7
SHA512: d14fb193130c59a868af3b25c4f781d0d5a6c502f154701de3c28244ab3c33fee3b41f938538cabc7b141b811cd45c2442cdaaac887cb5b6ed594a92b4d6d51b
Homepage: https://cran.r-project.org/package=gsubfn
Description: CRAN Package 'gsubfn' (Utilities for Strings and Function Arguments)
 The gsubfn function is like gsub but can take a replacement function or
 certain other objects instead of the replacement string.  Matches and back
 references are input to the replacement function and replaced by the
 function output.  gsubfn can be used to split strings based on content
 rather than delimiters and for quasi-perl-style string interpolation. The
 package also has facilities for translating formulas to functions and
 allowing such formulas in function calls instead of functions.  This can be
 used with R functions such as apply, sapply, lapply, optim, integrate,
 xyplot, Filter and any other function that expects another function as an
 input argument or functions like cat or sql calls that may involve strings
 where substitution is desirable.  There is also a facility for returning
 multiple objects from functions and a version of transform that allows the
 RHS to refer to LHS used in the same transform.

Package: r-cran-gsympoint
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-truncnorm, r-cran-rsolnp, r-cran-rocr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gsympoint_1.1.2-1.ca2004.1_all.deb
Size: 130452
MD5sum: 676d2d9fa0890796d9e68d1ec4f8c297
SHA1: 472d53b0c7fe0ec6d6b5a7208fd74b7738e04409
SHA256: df4018856ddb7ce2ff0fcf688c4140a117b416ecfe2006371ee35c02b44a73a5
SHA512: 20e3347a3ae7b3389895faee791bfc19f5758249ef6c3a6794345e373d922c128efcf46724d7485d9e832741669defe3f1cb1dd5851227db0f9b7bb3e4187a10
Homepage: https://cran.r-project.org/package=GsymPoint
Description: CRAN Package 'GsymPoint' (Estimation of the Generalized Symmetry Point, an OptimalCutpoint in Continuous Diagnostic Tests)
 Estimation of the cutpoint defined by the Generalized Symmetry point in a
 binary classification setting based on a continuous diagnostic test or
 marker. Two methods have been implemented to construct confidence intervals
 for this optimal cutpoint, one based on the Generalized Pivotal Quantity and
 the other based on Empirical Likelihood. Numerical and graphical outputs for
 these two methods are easily obtained.

Package: r-cran-gt4ireval
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gt4ireval_2.0-1.ca2004.1_all.deb
Size: 58208
MD5sum: 57036194aa073124d92925566fb30773
SHA1: 9b7fd1f650660689878b4d8cab0471e93449ccb5
SHA256: 28b1bf7948bb1a05b94e93534b82daed19cc347a3a99f8f0c8669361ce7b95b6
SHA512: 11b5ec3d2913814fdde71c6220442fdf79e30aecf58e100405977f31c11253e1d64be9e83d9b0d35a6af49d63a5fc064cc739b6dd5ca3bfbd44a28033a045344
Homepage: https://cran.r-project.org/package=gt4ireval
Description: CRAN Package 'gt4ireval' (Generalizability Theory for Information Retrieval Evaluation)
 Provides tools to measure the reliability of an Information Retrieval test
 collection.  It allows users to estimate reliability using Generalizability
 Theory and map those estimates onto well-known indicators such as Kendall
 tau correlation or sensitivity.

Package: r-cran-gt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-bigd, r-cran-bitops, r-cran-cli, r-cran-commonmark, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-juicyjuice, r-cran-magrittr, r-cran-markdown, r-cran-reactable, r-cran-rlang, r-cran-sass, r-cran-scales, r-cran-tidyselect, r-cran-vctrs, r-cran-xml2
Suggests: r-cran-fontawesome, r-cran-ggplot2, r-cran-gtable, r-cran-katex, r-cran-knitr, r-cran-lubridate, r-cran-magick, r-cran-paletteer, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rsvg, r-cran-rvest, r-cran-shiny, r-cran-testthat, r-cran-tidyr, r-cran-webshot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gt_1.0.0-1.ca2004.1_all.deb
Size: 5948964
MD5sum: a7fc16d67b6aaeaf8b4c81a3c83231de
SHA1: 43f336f7b3d9c11627cac156372a58b01931553e
SHA256: f7f5ea4724be1f7f50e1e2310196d2669ea593ff29f2267d7731c8dba3357e7e
SHA512: 9483808596379b0f6f5d4b49fd11f29c20e5b713b245388a62a539e3be7c6dc93bb2d8030d71c9962955bacd0b20d691be4e9649ebebb66977608309ca6f0944
Homepage: https://cran.r-project.org/package=gt
Description: CRAN Package 'gt' (Easily Create Presentation-Ready Display Tables)
 Build display tables from tabular data with an easy-to-use set of functions.
 With its progressive approach, we can construct display tables with a
 cohesive set of table parts. Table values can be formatted using any of the
 included formatting functions. Footnotes and cell styles can be precisely
 added through a location targeting system. The way in which 'gt' handles
 things for you means that you don't often have to worry about the fine
 details.

Package: r-cran-gtable
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-profvis, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtable_0.3.6-1.ca2004.1_all.deb
Size: 216132
MD5sum: 359add5f2c83de5ebd50cd6303fbb4f0
SHA1: 942103fb29f302ad63037a1bb68bb2d7d4cd7f77
SHA256: 4a4c6ed7e982059b4b074e1c98d9ee88ff95416fe1934dcb7796a23cafc85604
SHA512: 11c24b1906b77669c7b4686f84f71940f072e4ade29a8b6a41578fccffb07655b99c9bcbd468091e825ba351d2f85a967fea2e0d48aac1654dff4486b7d51532
Homepage: https://cran.r-project.org/package=gtable
Description: CRAN Package 'gtable' (Arrange 'Grobs' in Tables)
 Tools to make it easier to work with "tables" of 'grobs'. The 'gtable'
 package defines a 'gtable' grob class that specifies a grid along with a
 list of grobs and their placement in the grid. Further the package makes it
 easy to manipulate and combine 'gtable' objects so that complex compositions
 can be built up sequentially.

Package: r-cran-gtapviz
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2723
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-harplus, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-openxlsx, r-cran-colorspace, r-cran-scales, r-cran-stringdist, r-cran-glue, r-cran-openxlsx2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-gtapviz_1.1.3-1.ca2004.1_all.deb
Size: 827004
MD5sum: 69bc1a03507ff42dfa39d15c1dd5298d
SHA1: ae91a5068fbd4a75b0820478b4d140ff235cbc51
SHA256: f98f8d57a704bc8dcca30a95f064f8f6328496a89c350160c541c842057c203b
SHA512: e3a85aae03584596c76e325e704a5b5fd186e5bd387f0f09c8eacab3976849bcca366f95cc2750983b3751b09997742227773b6d19679748d8ee9ac94092c6ae
Homepage: https://cran.r-project.org/package=GTAPViz
Description: CRAN Package 'GTAPViz' (Automating 'GTAP' Data Processing and Visualization)
 Tools to streamline the extraction, processing, and visualization of
 Computable General Equilibrium (CGE) results from 'GTAP' models. Designed
 for compatibility with both .har and .sl4 files, the package enables users
 to automate data preparation, apply mapping metadata, and generate
 high-quality plots and summary tables with minimal coding. 'GTAPViz'
 supports flexible export options (e.g., Text, CSV, 'Stata', or 'Excel'
 formats).  This facilitates efficient post-simulation analysis for economic
 research and policy reporting. Includes helper functions to filter, format,
 and customize outputs with reproducible styling.

Package: r-cran-gtbasedim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coopgame, r-cran-rweka
Filename: pool/dists/focal/main/r-cran-gtbasedim_1.0.0-1.ca2004.1_all.deb
Size: 612188
MD5sum: f94847f008c6955bbe70fb1ba1a36480
SHA1: a5ba01782893b9accb5e2b6a97186d8e2212dc9a
SHA256: e110133947c4afda20a3e1775644670a1cdeca78c096806fbbab8f27824440ed
SHA512: a0fbb41e66b60f4c361eca93cbe15b4279009239bd8eba1ff48bde531de022e8c57f475b291cd3eeefec1338d2027baeeaab733bdb04fc56a91281868ca66c64
Homepage: https://cran.r-project.org/package=GTbasedIM
Description: CRAN Package 'GTbasedIM' (Game Theory-Based Influence Measures)
 Understanding how features influence a specific response variable becomes
 crucial in classification problems, with applications ranging from medical
 diagnosis to customer behavior analysis.  This packages provides tools to
 compute such an influence measure grounded on game theory concepts.  In
 particular, the influence measures presented in Davila-Pena,
 Saavedra-Nieves, and Casas-Méndez (2024) <doi:10.48550/arXiv.2408.02481> can
 be obtained.

Package: r-cran-gtdl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-gtdl_1.0.0-1.ca2004.1_all.deb
Size: 46032
MD5sum: 2a3e467b5b03bcfda6eb70043e07cc74
SHA1: 745c87cc74c87644dcdd48c49d4d9ab4a07b7cb7
SHA256: a08116311e95057183b7dae9a7fc5c15c3bfd8d929b3b05775b544ddfbcce8d8
SHA512: 1ca82f3ae85018040530e5cb2f662dabc61403ef2624c80890439dcf8d249892ea0dbd34b6eff2d2832b9b8d22775d2af01c858e7515730ce0cfc4b7a1a43868
Homepage: https://cran.r-project.org/package=GTDL
Description: CRAN Package 'GTDL' (The Generalized Time-Dependent Logistic Family)
 Computes the probability density, survival function, the hazard rate
 functions and generates random samples from the GTDL distribution given by
 Mackenzie, G. (1996) <doi:10.2307/2348408>.  The likelihood estimates, the
 randomized quantile (Louzada, F., et al.  (2020)
 <doi:10.1109/ACCESS.2020.3040525>) residuals and the normally transformed
 randomized survival probability (Li,L., et al. (2021)
 <doi:10.1002/sim.8852>) residuals are obtained for the GTDL model.

Package: r-cran-gtests
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-gtests_0.2-1.ca2004.1_all.deb
Size: 2179292
MD5sum: 72c2efdc9ca584f5fdaa7ea90725d05e
SHA1: 3cccf52c5ac444fc265892c1b5f1cc27b516b35a
SHA256: d697d8bb2dea3a8234acb6dc74ab32708e14a7c7806a7c58a181c3b954081b75
SHA512: 2d23ce9ea7d318e896abafb05f7ff25bcf2d98724e9c4de9133f8d978572fb089e3cfdf667823fa916a6ca8c533273700068af4430b989e70e7778e4ef44e476
Homepage: https://cran.r-project.org/package=gTests
Description: CRAN Package 'gTests' (Graph-Based Two-Sample Tests)
 Four graph-based tests are provided for testing whether two samples are from
 the same distribution.  It works for both continuous data and discrete data.

Package: r-cran-gtestsmulti
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-mass
Suggests: r-cran-ade4
Filename: pool/dists/focal/main/r-cran-gtestsmulti_0.1.1-1.ca2004.1_all.deb
Size: 26052
MD5sum: e44c8f2c623db4b78cd518e8a7772e99
SHA1: 20b4145621543d3a9ff52586d712fa89f02e045a
SHA256: 015b0c12628221c96c52a62d87ac92a9e978ba77f5a01f25ffcb28ae67abd175
SHA512: 298ab42bedd36cffa8a80e143240f262613c83092da6d577a852f2ea117da36eab8955ba2c1d62e0cabfacf4e05364504b327b39a73e3cc4b0e42d66f279c7ee
Homepage: https://cran.r-project.org/package=gTestsMulti
Description: CRAN Package 'gTestsMulti' (New Graph-Based Multi-Sample Tests)
 New multi-sample tests for testing whether multiple samples are from the
 same distribution. They work well particularly for high-dimensional data.
 Song, H. and Chen, H. (2022) <arXiv:2205.13787>.

Package: r-cran-gtexr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-curl, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gtexr_0.2.0-1.ca2004.1_all.deb
Size: 397884
MD5sum: 4f42f3416f93525af4443ec7a32d4922
SHA1: f69314bce43ba8b9c3e44c1d81a98356084f8b05
SHA256: 9dc765129e808dfebc9edab1d233187d7bfabf55b366d5bdfc039e153315f545
SHA512: d0197ed95783bcb690d0d6e00f702b115daacea09c193f89aafac5afe7408ae176d739d204200f0c0c40b72a2abb287aa8426a8237e084bbe9ca97fd481d52db
Homepage: https://cran.r-project.org/package=gtexr
Description: CRAN Package 'gtexr' (Query the GTEx Portal API)
 A convenient R interface to the Genotype-Tissue Expression (GTEx) Portal
 API. The GTEx project is a comprehensive public resource for studying
 tissue-specific gene expression and regulation in human tissues. Through
 systematic analysis of RNA sequencing data from 54 non-diseased tissue sites
 across nearly 1000 individuals, GTEx provides crucial insights into the
 relationship between genetic variation and gene expression. This data is
 accessible through the GTEx Portal API enabling programmatic access to human
 gene expression data. For more information on the API, see
 <https://gtexportal.org/api/v2/redoc>.

Package: r-cran-gtextras
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4777
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gt, r-cran-commonmark, r-cran-dplyr, r-cran-fontawesome, r-cran-ggplot2, r-cran-glue, r-cran-htmltools, r-cran-paletteer, r-cran-rlang, r-cran-scales, r-cran-knitr, r-cran-cli
Suggests: r-cran-base64enc, r-cran-bitops, r-cran-covr, r-cran-fs, r-cran-hms, r-cran-magrittr, r-cran-rvest, r-cran-sass, r-cran-stringr, r-cran-svglite, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-webshot2, r-cran-xml2, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-gtextras_0.6.0-1.ca2004.1_all.deb
Size: 3966948
MD5sum: ca5a3bba18b941529e1caa9974d24e09
SHA1: 050ff63de3b3a5a44bc96aa5024c42eb72035f0f
SHA256: f59dc660028f35e05a0669bc337670c4ee3d37076465f26ed9b700f26325cd15
SHA512: d17fced86bcc0f9671eac334ead9787d856491f907772252a06ce6f8fc1fb8e8338ed6ee135bc9968fd748ff670630bf74e204d6db50f27873ea865c88959e65
Homepage: https://cran.r-project.org/package=gtExtras
Description: CRAN Package 'gtExtras' (Extending 'gt' for Beautiful HTML Tables)
 Provides additional functions for creating beautiful tables with 'gt'. The
 functions are generally wrappers around boilerplate or adding opinionated
 niche capabilities and helpers functions.

Package: r-cran-gtexture
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dlookr, r-cran-dplyr, r-cran-fitscape, r-cran-igraph, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtexture_1.0.0-1.ca2004.1_all.deb
Size: 105712
MD5sum: 2ad22c5fda7bf9be116b07f9a3a1f85d
SHA1: c7a05f06e908b61079c45244a2a96d87a45c1b60
SHA256: 6f399a59a4aaf4caff01bb84fff968365b268ec9c105d9ee7716a35ce21e1596
SHA512: 9fa2c50ee6dd716ec6ad3e574604438f33cef3bcbdc21ab25b644eb1401905131775aa57f1b746f82a3fd6949c3ee129dffd7087c5188cdf3c628ee8eb968e80
Homepage: https://cran.r-project.org/package=gtexture
Description: CRAN Package 'gtexture' (Generalized Application of Co-Occurrence Matrices and HaralickTexture)
 Generalizes application of gray-level co-occurrence matrix (GLCM) metrics to
 objects outside of images. The current focus is to apply GLCM metrics to the
 study of biological networks and fitness landscapes that are used in
 studying evolutionary medicine and biology, particularly the evolution of
 cancer resistance. The package was developed as part of the author's
 publication in Physics in Medicine and Biology Barker-Clarke et al. (2023)
 <doi:10.1088/1361-6560/ace305>.  A general reference to learn more about
 mathematical oncology can be found at Rockne et al. (2019)
 <doi:10.1088/1478-3975/ab1a09>.

Package: r-cran-gtfs2emis
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3196
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-furrr, r-cran-future, r-cran-gtfs2gps, r-cran-sf, r-cran-sfheaders, r-cran-terra, r-cran-units
Suggests: r-cran-gtfstools, r-cran-ggplot2, r-cran-knitr, r-cran-lwgeom, r-cran-progressr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtfs2emis_0.1.1-1.ca2004.1_all.deb
Size: 2726072
MD5sum: 1b87a2a60487f3c057ed880cdc13b63f
SHA1: 674c0b176b5b37986973d6bc5c74deb5b33dc974
SHA256: 01a99e2c642c88a156a02959cac334319c8766b0c78122e34c34147a423c112e
SHA512: ba6c61dd30c33bf7efcf9ab1a0eac3fbbcbe23ff9acdd8430698046af715f258cc380bc3e8c041e0c8f30ab4c219b7b967147ccdc5ee0de51924ab0e11e7ef19
Homepage: https://cran.r-project.org/package=gtfs2emis
Description: CRAN Package 'gtfs2emis' (Estimating Public Transport Emissions from General Transit FeedSpecification (GTFS) Data)
 A bottom up model to estimate the emission levels of public transport
 systems based on General Transit Feed Specification (GTFS) data. The package
 requires two main inputs: i) Public transport data in the GTFS standard
 format; and ii) Some basic information on fleet characteristics such as
 fleet age, technology, fuel and Euro stage. As it stands, the package
 estimates several pollutants at high spatial and temporal resolutions.
 Pollution levels can be calculated for specific transport routes, trips,
 time of the day or for the transport system as a whole. The output with
 emission estimates can be extracted in different formats, supporting
 analysis on how emission levels vary across space, time and by fleet
 characteristics. A full description of the methods used in the 'gtfs2emis'
 model is presented in Vieira, J. P. B.; Pereira, R. H. M.; Andrade, P. R.
 (2022) <doi:10.31219/osf.io/8m2cy>.

Package: r-cran-gtfsio
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fs, r-cran-zip, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-gtfsio_1.2.0-1.ca2004.1_all.deb
Size: 340468
MD5sum: ce980609e8670abd19a290c34c7b5002
SHA1: a80c1be7c9b9bb2b63b1f569ff50d3b84c0ffc04
SHA256: 5f5fc24dd1fc8c86c5f80a9dffb01b87ddfa1eaf6dab9ca2f1ed4554d6758e79
SHA512: 8d067961d986baac4377f95413faeeaf9f3130f00da197e61b71c51cd09cbbb92a476e5d78b532a8092354b92c9b756ca78976b1c0bff3edffbb03b806e251ec
Homepage: https://cran.r-project.org/package=gtfsio
Description: CRAN Package 'gtfsio' (Read and Write General Transit Feed Specification (GTFS) Files)
 Tools for the development of packages related to General Transit Feed
 Specification (GTFS) files. Establishes a standard for representing GTFS
 feeds using R data types. Provides fast and flexible functions to read and
 write GTFS feeds while sticking to this standard. Defines a basic 'gtfs'
 class which is meant to be extended by packages that depend on it. And
 offers utility functions that support checking the structure of GTFS
 objects.

Package: r-cran-gtfswizard
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4352
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-sf, r-cran-tidyr, r-cran-data.table, r-cran-shiny, r-cran-leaflet, r-cran-checkmate, r-cran-dplyr, r-cran-ggplot2, r-cran-gtfsio, r-cran-purrr, r-cran-rlang, r-cran-crayon, r-cran-forcats, r-cran-hrbrthemes, r-cran-stringr, r-cran-tibble, r-cran-plotly, r-cran-leaflet.extras, r-cran-geosphere, r-cran-stplanr, r-cran-glue, r-cran-hms, r-cran-sfnetworks, r-cran-gtfstools, r-cran-tidytransit, r-cran-igraph, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-gtfswizard_1.1.0-1.ca2004.1_all.deb
Size: 4401644
MD5sum: d11da4723a1655536c1fc71d217664f9
SHA1: e1d2239fa136926071b6e913c7c84f7ea72a86d0
SHA256: 7231e196e28052524ac54ba9c665ec460b5a04ab4daef81b986075d54e7b82d6
SHA512: 39da0762be7ec5c6216303536f8ed2b2a719d35401104888f377685cc320d035f3f78e3c568ece286865771a638cf198315e5ad0e4d4fe4b2c26188f327441b4
Homepage: https://cran.r-project.org/package=GTFSwizard
Description: CRAN Package 'GTFSwizard' (Exploring and Manipulating 'GTFS' Files)
 Exploring, analyzing, and manipulating General Transit Feed Specification
 (GTFS) files, which represent public transportation schedules and geographic
 data. The package allows users to filter data by routes, trips, stops, and
 time, generate spatial visualizations, and perform detailed analyses of
 transit networks, including headway, dwell times, and route frequencies.
 Designed for transit planners, researchers, and data analysts, 'GTFSwizard'
 integrates functionalities from popular packages to enable efficient GTFS
 data manipulation and visualization.

Package: r-cran-gtheory
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-gtheory_0.1.2-1.ca2004.1_all.deb
Size: 42872
MD5sum: 3f79a89f20d3b58116f821e04a776319
SHA1: c998d73abcdb46a3025582f180f43c013e3efea6
SHA256: 08491950d262a1acc0bf33ab070884c47392b61d01c06213029be9cb42e521da
SHA512: d8c1fd69649d1469db23f67ae31ebe2e9cd14da07446a54b75fe07351d1a888c7d12c8fb7bec377c3b47597884d379e4a690717fb5b4bbf3c4382a5874e8918e
Homepage: https://cran.r-project.org/package=gtheory
Description: CRAN Package 'gtheory' (Apply Generalizability Theory with R)
 Estimates variance components, generalizability coefficients, universe
 scores, and standard errors when observed scores contain variation from one
 or more measurement facets (e.g., items and raters).

Package: r-cran-gto
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gt, r-cran-magrittr, r-cran-officer, r-cran-rlang, r-cran-xml2
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-gto_0.1.2-1.ca2004.1_all.deb
Size: 281772
MD5sum: b9e98965b08e53f5dc094562a89c6c64
SHA1: fdde54461dbc76e9b5a20ea278f9a182a01efcd2
SHA256: 9dfa9cfda534f84bd8629c3c6fac4891a9e96017be2d27b88ada209c5aadddef
SHA512: 395bb340a5fbb79bba28c5fa9aae78170d3fb12c2a54680cef142a66f27690ae8eea44ff4aec283728735eea3a1419d424cfba81fd1dbee6d0b082d726b3a66f
Homepage: https://cran.r-project.org/package=gto
Description: CRAN Package 'gto' (Insert 'gt' Tables into Word Documents)
 Insert tables created by the 'gt' R package into 'Microsoft Word' documents.
 This gives users the ability to add to their existing word documents the
 tables made in 'gt' using the familiar 'officer' package and syntax from the
 'officeverse'.

Package: r-cran-gtop
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hts, r-cran-quadprog, r-cran-lassoshooting
Filename: pool/dists/focal/main/r-cran-gtop_0.2.0-1.ca2004.1_all.deb
Size: 19980
MD5sum: 14191a09e109e071e49e0309a7961bd1
SHA1: a93500712a0ccdf688824816fb23f5bce068e6d0
SHA256: ba55b2d61155d6cafac96097b210b3d2c7796a01ec59189b111bf29d08c6aedd
SHA512: 031d5e194fc64ec32d63b7c3722459b5f5af4bbb0627b2dd801b73475835a5fcef53d713f07ea7e8671436ec0ce7338dc0705c46ae59190c91c939e69813f194
Homepage: https://cran.r-project.org/package=gtop
Description: CRAN Package 'gtop' (Game-Theoretically OPtimal (GTOP) Reconciliation Method)
 In hierarchical time series (HTS) forecasting, the hierarchical relation
 between multiple time series is exploited to make better forecasts. This
 hierarchical relation implies one or more aggregate consistency constraints
 that the series are known to satisfy. Many existing approaches, like for
 example bottom-up or top-down forecasting, therefore attempt to achieve this
 goal in a way that guarantees that the forecasts will also be aggregate
 consistent. This package provides with an implementation of the
 Game-Theoretically OPtimal (GTOP) reconciliation method proposed in van
 Erven and Cugliari (2015), which is guaranteed to only improve any given set
 of forecasts. This opens up new possibilities for constructing the
 forecasts. For example, it is not necessary to assume that bottom-level
 forecasts are unbiased, and aggregate forecasts may be constructed by
 regressing both on bottom-level forecasts and on other covariates that may
 only be available at the aggregate level.

Package: r-cran-gtranslate
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-rvest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtranslate_0.0.1-1.ca2004.1_all.deb
Size: 14056
MD5sum: 8d5e3c21cc28b551a26601cc538e60c6
SHA1: 401b4da9b78371b44d30b38f7b827194d6919010
SHA256: 74c62ccfd51e98603aaa2f0a43e49c6b5e7da853ec3dd5cee47f230fa8389826
SHA512: 3766e17e13c04e73230f70bc8f81409f5b374665adfb5e0c808c576bc8d0abf6e86ad4a21ff65baa81c1daab983fce2f2eaaa2c91073f5e0e19e7ec9cabe03ef
Homepage: https://cran.r-project.org/package=gtranslate
Description: CRAN Package 'gtranslate' (Translate Between Different Languages)
 The goal of this package is to translate between different languages without
 any Google API authentication which is pain and you must pay for the key,
 This package is free and lightweight.

Package: r-cran-gtreg
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-glue, r-cran-gtsummary, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtreg_0.4.1-1.ca2004.1_all.deb
Size: 1290648
MD5sum: 701b8105f8112d5f71e37cf48c57c831
SHA1: 6d19c6494bd799244c1145f09000695a774a8b91
SHA256: 25af1376ab2d980462fed45f257be8645081fdf2b68612d33f757a2f18c36302
SHA512: bc518c9a895f188264cdb386aad92475fb27791d5978e9730e642fd3ec16e4595970139227e779ae2274b59f10a0db75db9fcb52a91be4f2de03d2423e868d1d
Homepage: https://cran.r-project.org/package=gtreg
Description: CRAN Package 'gtreg' (Regulatory Tables for Clinical Research)
 Creates tables suitable for regulatory agency submission by leveraging the
 'gtsummary' package as the back end. Tables can be exported to HTML, Word,
 PDF and more. Highly customized outputs are available by utilizing existing
 styling functions from 'gtsummary' as well as custom options designed for
 regulatory tables.

Package: r-cran-gtrendshealth
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gtrendshealth_1.0.0-1.ca2004.1_all.deb
Size: 40468
MD5sum: 8d5482b63f8ec4cefee94b6c4b54763a
SHA1: b57dbe63175fc93f034b6308112a3bfc089cb7e8
SHA256: 67c62aa4aa016c741bdbef8391379bd5cb5737b478a9e4952d7ecc55c60d13a6
SHA512: d616f49013915828420bf62cffec5188706a5a02fd7612f054138b5ed12641317eef6d0bce8492a0bfba484c3e7f7aaaec4ee6c612c5df67a59614c9d01915e6
Homepage: https://cran.r-project.org/package=gtrendshealth
Description: CRAN Package 'gtrendshealth' (Query the 'Google Trends for Health' API)
 Connects to the 'Google Trends for Health' API hosted at
 <https://trends.google.com/trends/>, allowing projects authorized to use the
 health research data to query 'Google Trends'.

Package: r-cran-gtrendsr
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2423
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-jsonlite, r-cran-anytime, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-gtrendsr_1.5.1-1.ca2004.1_all.deb
Size: 1062248
MD5sum: aa30b60ade1dd9d062470efa180fb588
SHA1: 3bc29b8d4f096dd3b2d55fb796dc79c826b00b3d
SHA256: c96daabb6574bddfef8292dba2010f63482f2103a5e4bc501620ec3ef55730e2
SHA512: 5bc1e80f7ad80f4706b91e879658e2f318aa8937a5dd8d49da6d5aee8de347293f8acaa8f33f88feda74153182e7d83681db7643777aabd664f43845b106e1ad
Homepage: https://cran.r-project.org/package=gtrendsR
Description: CRAN Package 'gtrendsR' (Perform and Display Google Trends Queries)
 An interface for retrieving and displaying the information returned online
 by Google Trends is provided. Trends (number of hits) over the time as well
 as geographic representation of the results can be displayed.

Package: r-cran-gtsummary
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cards, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-gt, r-cran-lifecycle, r-cran-rlang, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-aod, r-cran-broom, r-cran-broom.helpers, r-cran-broom.mixed, r-cran-car, r-cran-cardx, r-cran-cmprsk, r-cran-effectsize, r-cran-emmeans, r-cran-flextable, r-cran-geepack, r-cran-ggstats, r-cran-huxtable, r-cran-insight, r-cran-kableextra, r-cran-knitr, r-cran-lme4, r-cran-mice, r-cran-nnet, r-cran-officer, r-cran-openxlsx, r-cran-parameters, r-cran-parsnip, r-cran-rmarkdown, r-cran-smd, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-withr, r-cran-workflows
Filename: pool/dists/focal/main/r-cran-gtsummary_2.2.0-1.ca2004.1_all.deb
Size: 1637212
MD5sum: 316991fab158344f52bebb58f635f749
SHA1: ff0ca80003dd38ba4e76f143a995d05eda0a4c6f
SHA256: 7513d8aa697528a0c95c3b84eb171ccc982501728d6cf879a087652fb69d1f2e
SHA512: c84a1e9825a454252ed1fa8916ff2d98cf9b27afafdc4461a1cf62bbd445b51fcde05f9b865b36f145555fe39e4b4489bb20a69e35d091ee9065e24fa39bf449
Homepage: https://cran.r-project.org/package=gtsummary
Description: CRAN Package 'gtsummary' (Presentation-Ready Data Summary and Analytic Result Tables)
 Creates presentation-ready tables summarizing data sets, regression models,
 and more. The code to create the tables is concise and highly customizable.
 Data frames can be summarized with any function, e.g. mean(), median(), even
 user-written functions.  Regression models are summarized and include the
 reference rows for categorical variables. Common regression models, such as
 logistic regression and Cox proportional hazards regression, are
 automatically identified and the tables are pre-filled with appropriate
 column headers.

Package: r-cran-gtwas
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gtwas_1.1.0-1.ca2004.1_all.deb
Size: 122972
MD5sum: bf85f33c42a9e867fc979647b527d72b
SHA1: 14e77a56f3d91c6f7be20621856cc3564d8f949d
SHA256: ea30847891f3152b1a786b99036e953d82df0d068ad6c28c8d629eb9ede8f2ab
SHA512: cb0f6ddc0c3e3db55413623fb798b804f66929f59ef57c920806e120168155c5e713bb11a5b0b52c62bc6523cfa86c5e49aa8e74cd2a248e4659b88bc51d031c
Homepage: https://cran.r-project.org/package=gtWAS
Description: CRAN Package 'gtWAS' (Genome and Transcriptome Wide Association Study)
 Quantitative trait loci mapping and genome wide association analysis are
 used to find candidate molecular marker or region associated with phenotype
 based on linkage analysis and linkage disequilibrium. Gene expression
 quantitative trait loci mapping is used to find candidate molecular marker
 or region associated with gene expression. In this package, we applied the
 method in Liu W. (2011) <doi:10.1007/s00122-011-1631-7> and Gusev A. (2016)
 <doi:10.1038/ng.3506> to genome and transcriptome wide association study,
 which is aimed at revealing the association relationship between phenotype
 and molecular markers, expression levels, molecular markers nested within
 different related expression effect and expression effect nested within
 different related molecular marker effect. F test based on full and reduced
 model are performed to obtain p value or likelihood ratio statistic. The
 best linear model can be obtained by stepwise regression analysis.

Package: r-cran-guaguas
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3673
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-guaguas_0.3.0-1.ca2004.1_all.deb
Size: 3624884
MD5sum: d97dfebff0239a7e606e471db063ebbf
SHA1: 2dd43b4f1f7a51dcad7e092e1ca1770d312a9791
SHA256: 340f5d5cada7b6061daf075d3ab5e76e04a24a16a6604ef1d00544028749c700
SHA512: 1b868591955628fcdadb9780ddf299544c07eea3e0c6fac41a31d3c6683ad5f06076fea9748dd5a81550be23f483b5c78ed1774a56d06f9b97c9768d4e6ebc8d
Homepage: https://cran.r-project.org/package=guaguas
Description: CRAN Package 'guaguas' (Nombres Inscritos en Chile (1920 - 2021))
 Datos de nombres inscritos en Chile entre 1920 y 2021, de acuerdo al
 Servicio de Registro Civil.  English: Chilean baby names registered from
 1920 to 2021 by the Civil Registry Service.

Package: r-cran-guardianapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 721
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-ggplot2, r-cran-covr, r-cran-scales, r-cran-readr
Filename: pool/dists/focal/main/r-cran-guardianapi_0.1.1-1.ca2004.1_all.deb
Size: 479144
MD5sum: 3f8e1f99e7897952ac33bcff4e95e596
SHA1: 27f2b1a860c72ad73a3d1e0a5303dfad89f6547b
SHA256: 85344cc53b573089482a7821db9f2ae864dab5d96295e4162c9337e6898ab884
SHA512: 4b9ec3fc006287ae75d29bdd729c8b8a8c811c827d6302fe3e0aa501b7fb0efc652f0399ff5895f5c3ab72eb6354ccffc56e89112e8f0f3308cc699a094c2de6
Homepage: https://cran.r-project.org/package=guardianapi
Description: CRAN Package 'guardianapi' (Access 'The Guardian' Newspaper Open Data API)
 Access to 'The Guardian' newspaper's open API
 <https://open-platform.theguardian.com/>, containing all articles published
 in 'The Guardian' from 1999 to the present, including article text,
 metadata, tags and contributor information. An API key and registration is
 required.

Package: r-cran-guerry
Architecture: all
Version: 1.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1631
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp
Suggests: r-cran-knitr, r-cran-sf, r-cran-spdep, r-cran-ade4, r-cran-adegraphics, r-cran-adespatial, r-cran-rcolorbrewer, r-cran-corrgram, r-cran-car, r-cran-effects, r-cran-rmarkdown, r-cran-here, r-cran-ggplot2, r-cran-ggpcp, r-cran-ggrepel, r-cran-heplots, r-cran-patchwork, r-cran-candisc, r-cran-colorspace, r-cran-scales, r-cran-remotes, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-guerry_1.8.3-1.ca2004.1_all.deb
Size: 1287492
MD5sum: 1230878af77f54f365a067a389bea092
SHA1: 923983c58af8017f3068a5ce8560745cc6adf8c6
SHA256: e416a86113985110e9e0a8803681ff692f0fbd4a47858b60493e3e6070e7db76
SHA512: 1dbbebc4b41a4a1beaa9e5e4292643f144dec46d6a0a789e79fbf277c8ae10f745db75168bb10c9daaaf6a7625e4089f8addd9f6a8a2cde126af723c53a0a17c
Homepage: https://cran.r-project.org/package=Guerry
Description: CRAN Package 'Guerry' (Maps, Data and Methods Related to Guerry (1833) "MoralStatistics of France")
 Maps of France in 1830, multivariate datasets from A.-M. Guerry and others,
 and statistical and graphic methods related to Guerry's "Moral Statistics of
 France". The goal is to facilitate the exploration and development of
 statistical and graphic methods for multivariate data in a geospatial
 context of historical interest.

Package: r-cran-guescini
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2469
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-guescini_0.1.0-1.ca2004.1_all.deb
Size: 2362760
MD5sum: b78f47fae63a5bd2ace7921488066be2
SHA1: 738013ba2f8524c1a00144c2a0f170d435a143c0
SHA256: 7bbacbf631a25b099dec9b2a5df3401ca6a70f60010df6e215fe734e32c0be50
SHA512: 70817a36287384055ba5922c5f2fd70f7ab699a1add3de0a4458c44c6cf48bfb369e2b27d0652e4062f235a8be55e74e3961062b62de4729388d74007182d0f8
Homepage: https://cran.r-project.org/package=guescini
Description: CRAN Package 'guescini' (Real-Time PCR Data Sets by Guescini et al. (2008))
 Real-time quantitative polymerase chain reaction (qPCR) data by Guescini et
 al. (2008) <doi:10.1186/1471-2105-9-326> in tidy format.  This package
 provides two data sets where the amplification efficiency has been
 modulated: either by changing the amplification mix concentration, or by
 increasing the concentration of IgG, a PCR inhibitor.  Original raw data
 files:
 <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM1_ESM.xls>
 and
 <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-9-326/MediaObjects/12859_2008_2311_MOESM5_ESM.xls>.

Package: r-cran-guess
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1708
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-guess_0.1-1.ca2004.1_all.deb
Size: 1036136
MD5sum: 42f3cd66de8263bd7a6056aeabfc79b8
SHA1: 47e7ae4b0946eb0f59282aa2b8d2bf423b6e1ea5
SHA256: b82dbbff5ce79e993243c501c1d5b9af7d1021b713c0bd65dd6853b2a2e6e54e
SHA512: ef4d4d0fb18a1111219fcb2ffb6db6721d020a8fda4c9fc96d80ebc33aea23d5525d5a1a45e5943c18af327cf93a7e097d44f882171906732e3f926e1afcf4f7
Homepage: https://cran.r-project.org/package=guess
Description: CRAN Package 'guess' (Adjust Estimates of Learning for Guessing)
 Adjust Estimates of Learning for Guessing. The package provides standard
 guessing correction, and a latent class model that leverages informative
 pre-post transitions. For details of the latent class model, see
 <http://gsood.com/research/papers/guess.pdf>.

Package: r-cran-guesscompx
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-reshape2, r-cran-ggplot2, r-cran-lubridate, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-guesscompx_1.0.3-1.ca2004.1_all.deb
Size: 89304
MD5sum: 8ea94be9032a9912a6e1ee3d41ba3e03
SHA1: b62ab7c256752bc917378c8d9615e4dbba593cc4
SHA256: cbd34590e33c8da523ef4770f13def59773c2c020c416e75554d4777e98c9327
SHA512: 342231c540a3539939e6002543517f39ad9fc53256e15fe9827d1da9daa697856f17afe9b4b7c718f47e6f51050f87c632aa0f9d49322d55b3c97c487d613fe3
Homepage: https://cran.r-project.org/package=GuessCompx
Description: CRAN Package 'GuessCompx' (Empirically Estimates Algorithm Complexity)
 Make an empirical guess on the time and memory complexities of an algorithm
 or a function.  Tests multiple, increasing size random samples of your data
 and tries to fit various complexity functions o(n), o(n2), o(log(n)), etc.
 Based on best fit, it predicts the full computation time on your whole
 dataset. Results are plotted with 'ggplot2'.

Package: r-cran-guest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xicor, r-cran-network, r-cran-ggally
Suggests: r-cran-sna
Filename: pool/dists/focal/main/r-cran-guest_0.2.0-1.ca2004.1_all.deb
Size: 171248
MD5sum: 1582dc1625e0d722613ff4a35ca1bc3b
SHA1: cdaf1807f594bd3c2de724cd7c5d0c017ca4fc80
SHA256: 5aaec6ba9956d1782c88fbe775bbf99bcee5a4198557d4d86439d8bb032711a3
SHA512: 2a98d9f6cca693f2062d1b471f91bf45bbd6b1699f338f7d9d98edf84831caf20f93c626b0630007c892cf18f54437c4f206dd013dcadba9ed9d2eb24b0a4374
Homepage: https://cran.r-project.org/package=GUEST
Description: CRAN Package 'GUEST' (Graphical Models in Ultrahigh-Dimensional and Error-Prone Datavia Boosting Algorithm)
 We consider the ultrahigh-dimensional and error-prone data. Our goal aims to
 estimate the precision matrix and identify the graphical structure of the
 random variables with measurement error corrected. We further adopt the
 estimated precision matrix to the linear discriminant function to do
 classification for multi-label classes.

Package: r-cran-guide
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 978
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpanel, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-guide_1.2.7-1.ca2004.1_all.deb
Size: 868516
MD5sum: 1ca3095e8bc9f330e54981175c78208d
SHA1: de1c4d93a6a259427d64f9aaa9e08b898eaac71b
SHA256: becbad9ca47589c415b1d203f0e2dd2a5acebc1dfe7b7e5554b3b04b460ae591
SHA512: 35850cfb476d191de2bd46057111fe2d82de40e3ca5aa204a3e22f77d3dcbcebff64094a4bfd58f88b6ebc68d03537ffc62b2a5588487758c8c880fe660e8d07
Homepage: https://cran.r-project.org/package=GUIDE
Description: CRAN Package 'GUIDE' (GUI for DErivatives in R)
 A nice GUI for financial DErivatives in R.

Package: r-cran-guidedpls
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-irlba
Suggests: r-cran-fields, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-guidedpls_1.0.0-1.ca2004.1_all.deb
Size: 268208
MD5sum: c4e8ead07625827260d43edce1310952
SHA1: efc9190269199a68f446ca593fe603d1079795ac
SHA256: 76051beefc3ff58c0228cc164962a92a71cb3b377d24fcb132e8db4e632c20ab
SHA512: 267ec22c965c8758f9a24bc58799fe6da9e46ebf3ada446d4b3b89cc9db113c3f10fa790197c39cdfa6bff59ee11ac0ed0f2e8a6d0d0b5a7535a25063681a3ee
Homepage: https://cran.r-project.org/package=guidedPLS
Description: CRAN Package 'guidedPLS' (Supervised Dimensional Reduction by Guided Partial Least Squares)
 Guided partial least squares (guided-PLS) is the combination of partial
 least squares by singular value decomposition (PLS-SVD) and guided principal
 component analysis (guided-PCA). For the details of the methods, see the
 reference section of GitHub README.md
 <https://github.com/rikenbit/guidedPLS>.

Package: r-cran-guider
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-labelled, r-cran-lifecycle, r-cran-pak, r-cran-patchwork, r-cran-purrr, r-cran-renv, r-cran-rlang, r-cran-scales, r-cran-srvyr, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-broom.helpers, r-cran-cardx, r-cran-factominer, r-cran-gt, r-cran-gtsummary, r-cran-nnet, r-cran-parameters, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-guider_0.4.0-1.ca2004.1_all.deb
Size: 101128
MD5sum: 70c9519d42e176487604913e0cad1e9c
SHA1: cf313881cffe0b47b52cc68a014f53174329a950
SHA256: 00ceadc2cc6a86c65f34b0aa813ffb78eee615b935dc3d525ae64d908369f346
SHA512: 3795df048e037648a3f57ae22fda2811d238dadb365e1dbc2ff6eda287cac6614458c91cbe16757e198e86a19471116e9d795e9f7ea46c840b685f57aefb5e7a
Homepage: https://cran.r-project.org/package=guideR
Description: CRAN Package 'guideR' (Miscellaneous Statistical Functions Used in 'guide-R')
 Companion package for the manual 'guide-R : Guide pour l’analyse de données
 d’enquêtes avec R' available at <https://larmarange.github.io/guide-R/>.
 'guideR' implements miscellaneous functions introduced in 'guide-R' to
 facilitate statistical analysis and manipulation of survey data.

Package: r-cran-guildai
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-rappdirs, r-cran-yaml, r-cran-config, r-cran-rlang, r-cran-rstudioapi, r-cran-readr, r-cran-dplyr, r-cran-processx, r-cran-tibble
Suggests: r-cran-fs, r-cran-envir, r-cran-rmarkdown, r-cran-quarto, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-guildai_0.0.1-1.ca2004.1_all.deb
Size: 247564
MD5sum: 2d94d3fb7170334a34fff6ee3f58b60e
SHA1: ae30d9c7550ca9ec7016340571c2c5317a63e48f
SHA256: ed5665b3243187a7bcd421cc6b7931a142b5b95b21778bc7ec1489579bc13dbf
SHA512: d3cb421ac30f0cf4fcf3c2743c18ba280e9346e2c3b2aa2baba871ba6100e759917f79154f1187d19bb367e9310e878542c9dd9bf4b5f9c6ebb446a26c398593
Homepage: https://cran.r-project.org/package=guildai
Description: CRAN Package 'guildai' (Track Machine Learning Experiments)
 'Guild AI' is an open-source tool for managing machine learning experiments.
 It's for scientists, engineers, and researchers who want to run scripts,
 compare results, measure progress, and automate machine learning workflow.
 'Guild AI' is a light weight, external tool that runs locally. It works with
 any framework, doesn't require any changes to your code, or access to any
 web services. Users can easily record experiment metadata, track model
 changes, manage experiment artifacts, tune hyperparameters, and share
 results. 'Guild AI' combines features from 'Git', 'SQLite', and 'Make' to
 provide a lab notebook for machine learning.

Package: r-cran-guiplot
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-svglite, r-cran-dt, r-cran-rlang, r-cran-magrittr, r-cran-r6, r-cran-excelr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-guiplot_0.5.0-1.ca2004.1_all.deb
Size: 222768
MD5sum: 3b54da68670539f30a3e8f0122bce37e
SHA1: 6fe0479db618434d107e5da189c600a4aa0bbb24
SHA256: a10e19dceec4cc3d8635ab78882d4fd57294bd2ce5bae5899f334edb76e43c99
SHA512: 165897108d9b1c35ac0e9fe6a51248047226fae6c83d52dfec9297e3f3c33957d62f818d3fc67f9427d06df8541f888c8eb827baf728b65c0248a0b8a81f595b
Homepage: https://cran.r-project.org/package=guiplot
Description: CRAN Package 'guiplot' (User-Friendly GUI Plotting Tools)
 Create a user-friendly plotting GUI for 'R'.  In addition, one purpose of
 creating the 'R' package is to facilitate third-party software to call 'R'
 for drawing, for example, 'Phoenix WinNonlin' software calls 'R' to draw the
 drug concentration versus time curve.

Package: r-cran-guiprofiler
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nozzle.r1, r-cran-mass, r-cran-proftools, r-bioc-rgraphviz, r-bioc-graph, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-guiprofiler_2.0.1-1.ca2004.1_all.deb
Size: 36548
MD5sum: 591f3fe554ffb2ed5e658a686df341ee
SHA1: 186a74503a302abaf4d15fd8a0b942cf21c6f11c
SHA256: 27f1b592b5e249a76400d9d0f9d0969e1fc7319271bf0e938edf64e360a02b4d
SHA512: 4750643fae43194b89263f548ff813f9e9ec4ee1da0bbf3536ef5805b90fb4a0aca70ba47c7fbb60901e7f2cc4ef294e5a932cf53caf89afa583f78084f74641
Homepage: https://cran.r-project.org/package=GUIProfiler
Description: CRAN Package 'GUIProfiler' (Graphical User Interface for Rprof())
 Show graphically the results of profiling R functions by tracking their
 execution time.

Package: r-cran-guix.install
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-runit
Filename: pool/dists/focal/main/r-cran-guix.install_1.0.0-1.ca2004.1_all.deb
Size: 19704
MD5sum: efe59b345070830044ae9645e96f64c4
SHA1: b63672ab5e4db873dbab562184d25b488efca8d1
SHA256: 4f452ebe18779407ed72a0aa91394674b30b5bd3567242ed6e34f9b7342347d1
SHA512: 3459def4de7037867eeab5edcd325b93ad7126aeda132acaf4d0cc02bf1480aaf0e82c4379ef236a3d0f389d5785ad1f04e78a68ce40fd15855b0715da1dfaf3
Homepage: https://cran.r-project.org/package=guix.install
Description: CRAN Package 'guix.install' (Install R Packages with GNU Guix)
 This 'R' package provides a single procedure guix.install(), which allows
 users to install 'R' packages via 'Guix' right from within their running 'R'
 session.  If the requested 'R' package does not exist in 'Guix' at this
 time, the package and all its missing dependencies will be imported
 recursively and the generated package definitions will be written to
 ~/.Rguix/packages.scm.  This record of imported packages can be used later
 to reproduce the environment, and to add the packages in question to a
 proper 'Guix' channel (or 'Guix' itself).  guix.install() not only supports
 installing packages from CRAN, but also from Bioconductor or even arbitrary
 'git' or 'mercurial' repositories, replacing the need for installation via
 'devtools'.

Package: r-cran-gumbel
Architecture: all
Version: 1.10-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gumbel_1.10-3-1.ca2004.1_all.deb
Size: 237688
MD5sum: 8d1b12b0b2c748925b401e6bf77c8428
SHA1: 692a1cebe1c63ada2c0515c09bcce73528ff7493
SHA256: d9078fcc2cedad88413b458c98869300dda01ec39ca1b28395a72fe3d2d233f4
SHA512: 020a4a909d7b0023b908606a7be08d2e05df6f33acab0b3e4e5acbefdaecfbe9b12a5bcd22f51aee77d06ac15005bd44be4103b94b7cb727b878158fdfd41679
Homepage: https://cran.r-project.org/package=gumbel
Description: CRAN Package 'gumbel' (The Gumbel-Hougaard Copula)
 Provides probability functions (cumulative distribution and density
 functions), simulation function (Gumbel copula multivariate simulation) and
 estimation functions (Maximum Likelihood Estimation, Inference For Margins,
 Moment Based Estimation and Canonical Maximum Likelihood).

Package: r-cran-gumboot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-stringr, r-cran-ncdf4, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gumboot_1.0.1-1.ca2004.1_all.deb
Size: 296720
MD5sum: 42dc78147a22e6e7f12569c700c32e5f
SHA1: 8f6f5000ad39547aefbde789d50367a74e16edd5
SHA256: 41d3fccb0c46658e7c65dfed9c7ad31212a945bb832fc736c9e07ef7c82e6c6f
SHA512: 3ced0cfe98b8f65aa71f7cf2b2be784063d94078c880f1ac3b156bd7c8f512af88bcdbfe5e52119431706dc1ff182cd4d889cc626be6988d08dd31320eb25221
Homepage: https://cran.r-project.org/package=gumboot
Description: CRAN Package 'gumboot' (Bootstrap Analyses of Sampling Uncertainty in Goodness-of-FitStatistics)
 Uses jackknife and bootstrap methods to quantify the sampling uncertainty in
 goodness-of-fit statistics. Full details are in Clark et al. (2021), "The
 abuse of popular performance metrics in hydrologic modeling", Water
 Resources Research, <doi:10.1029/2020WR029001>.

Package: r-cran-gunit
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-stringr, r-cran-units, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gunit_1.0.2-1.ca2004.1_all.deb
Size: 35424
MD5sum: dcb71a363dfa732e0c399716cd2f6b16
SHA1: 15ea955a533caa6163ced960c2a98caa9c848406
SHA256: eb604f58f9d5c41364c2973f229d197f85a3a84fb7eb4524bfc528d113809288
SHA512: 39aeab5ce89b8560ca21dd0cee360472428947b543723ad69cbd2d9f08ce5d6f38b35cb4cb41647cc0fe2798a7903bc1c8cfae3b32f6c4bb4a30dfc389a06497
Homepage: https://cran.r-project.org/package=gunit
Description: CRAN Package 'gunit' (Converts Conductance Units)
 For plant physiologists, converts conductance (e.g. stomatal conductance) to
 different units: m/s, mol/m^2/s, and umol/m^2/s/Pa.

Package: r-cran-gunsales
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2055
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-seasonal, r-cran-ggplot2, r-cran-data.table, r-cran-zoo, r-cran-x13binary
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gunsales_0.1.2-1.ca2004.1_all.deb
Size: 959756
MD5sum: f0c575dee29790164f5270013cd1af27
SHA1: d99797b78953b76ce2d6429cc4658623dbfceeaf
SHA256: a0f9afd216fb4800c3f10efef1e21cdfb76b743c74a0f121186476b4ad58c783
SHA512: ec4931acce40157f723775a19ae560f71403fe721cb35874504e31547492d0f1cb4fd963e6fc02194c96bbb35e372f41d0e81a9fa2e9a5cca12912cd10d5f7df
Homepage: https://cran.r-project.org/package=gunsales
Description: CRAN Package 'gunsales' (Statistical Analysis of Monthly Background Checks of GunPurchases)
 Statistical analysis of monthly background checks of gun purchases for the
 New York Times story "What Drives Gun Sales: Terrorism, Obama and Calls for
 Restrictions" at
 <http://www.nytimes.com/interactive/2015/12/10/us/gun-sales-terrorism-obama-restrictions.html?>
 is provided.

Package: r-cran-gustave
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat, r-cran-sampling, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-gustave_1.0.0-1.ca2004.1_all.deb
Size: 311432
MD5sum: 3fede13927547b2d68e609262213c959
SHA1: aabe58afebd5a1dcce34b9e34ea0c13e06d68f2b
SHA256: e1005b791ca253e9ea9f70251c8b5f7c2b5a54d172ef8baa1410ac2a1eebbba5
SHA512: 5b70b3a05277a64db4be23e037aaa14463052b3662b437ce27ecc8eba01c69e8d2ec0f35f358c0edb71bdc5df9891d186493eecf3276c22a76ad252d414a55f6
Homepage: https://cran.r-project.org/package=gustave
Description: CRAN Package 'gustave' (A User-Oriented Statistical Toolkit for Analytical VarianceEstimation)
 Provides a toolkit for analytical variance estimation in survey sampling.
 Apart from the implementation of standard variance estimators, its main
 feature is to help the sampling expert produce easy-to-use variance
 estimation "wrappers", where systematic operations (linearization, domain
 estimation) are handled in a consistent and transparent way.

Package: r-cran-gutenbergr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3805
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-purrr, r-cran-readmdtable, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-tidytext, r-cran-withr
Filename: pool/dists/focal/main/r-cran-gutenbergr_0.3.0-1.ca2004.1_all.deb
Size: 3804040
MD5sum: 14be748b87345b5024284395d15636eb
SHA1: d0fb2aef4d5039775af5e8e9c4ed369c58c3af0a
SHA256: c8273d382e322963e608e69d88990f7b55e5eadbce63fc57df14d43e47016b8b
SHA512: af2634d42a7e618b9eaa5feb8d86f4823b2d3d44228402b6ab5122ba8b04b12c452c9c9d7f92a2d8b328eb289826f7df630cf053483bb5d08bded8d8fe677188
Homepage: https://cran.r-project.org/package=gutenbergr
Description: CRAN Package 'gutenbergr' (Download and Process Public Domain Works from Project Gutenberg)
 Download and process public domain works in the Project Gutenberg collection
 <https://www.gutenberg.org/>. Includes metadata for all Project Gutenberg
 works, so that they can be searched and retrieved.

Package: r-cran-gvarx
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vars, r-cran-xts, r-cran-lmtest, r-cran-lubridate, r-cran-sandwich, r-cran-strucchange, r-cran-tsdyn, r-cran-urca
Filename: pool/dists/focal/main/r-cran-gvarx_1.4-1.ca2004.1_all.deb
Size: 277420
MD5sum: cb8244e39632d0f6d8f68d6370a3dead
SHA1: 1358348fb536a360d1f546c074501c144c4eca1b
SHA256: 11c3da7f413a9441aafe96e644d5b10c930c107b875d596f79786c70d5aa3706
SHA512: fe4a3782c934c84f0065b9bfaee899e47c21b108b79ce7db49c79b346650464f8866834bbc04b5c44718b149aa055940654b2316aa1f122a6e69b59fedab9f4d
Homepage: https://cran.r-project.org/package=GVARX
Description: CRAN Package 'GVARX' (Perform Global Vector Autoregression Estimation and Inference)
 Light procedures for learning Global Vector Autoregression model (GVAR) of
 Pesaran, Schuermann and Weiner (2004) <DOI:10.1198/073500104000000019> and
 Dees, di Mauro, Pesaran and Smith (2007) <DOI:10.1002/jae.932>.

Package: r-cran-gvc
Architecture: all
Version: 6.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-decompr, r-cran-diagonals
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gvc_6.4.0-1.ca2004.1_all.deb
Size: 36452
MD5sum: bc7ebe918d4c5352e15d119692f64d49
SHA1: 5cc11206c997ed82a11bc54febcc33daa6109082
SHA256: 300c11da8022e3ef88c638f782802da6f27d3bbcf73475c70e4a5835ad40a8cc
SHA512: 464d0dc1608d840a7d64eee56db33d274c37ee22e89897d228ab66b8c20a3642d5d9ebe910d1e5f32097f3a5fad737575e627e1ef31166fdbddcd6001c6820c6
Homepage: https://cran.r-project.org/package=gvc
Description: CRAN Package 'gvc' (Global Value Chains Tools)
 Several tools for Global Value Chain ('GVC') analysis are implemented.

Package: r-cran-gvcm.cat
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-gvcm.cat_1.9-1.ca2004.1_all.deb
Size: 264624
MD5sum: e5d2f6edbcc58b5440432e2e198a4d72
SHA1: 788e28b39237b0e6bb61944f6c46e93071c46887
SHA256: c57c26b91464e32499b8912e9518290dd38cc25a52aa3f45fe3a0c3fc3d8dd43
SHA512: 92bd0af13df1103fbc9ec66d43613430d8f5a56e39ac4889e7fdf802677133f9432cf1c510ed6f15f5819fb9551721bf70bb76aa683bbc2f06c0314f1e266fe7
Homepage: https://cran.r-project.org/package=gvcm.cat
Description: CRAN Package 'gvcm.cat' (Regularized Categorical Effects/Categorical EffectModifiers/Continuous/Smooth Effects in GLMs)
 Generalized structured regression models with regularized categorical
 effects, categorical effect modifiers, continuous effects and smooth
 effects.

Package: r-cran-gvcr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-eda4treer, r-cran-lme4, r-cran-magrittr, r-cran-rlang, r-cran-supernova, r-cran-tibble, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gvcr_0.4.0-1.ca2004.1_all.deb
Size: 57276
MD5sum: c9c1a20d8129d47c7a6094e410084c1a
SHA1: 332d9f877f24bb0a31b07c28b2ee55234b50a4e3
SHA256: e344780539adcd91602269a08eb22485fe744ad8e26d9c22a3939de2aafe41bc
SHA512: 1abd356292e27c6aac3ef32695e72bbe3542129da634bfd2ecf7f9be76c7629ad913dc350c99fe0ee1967b13d2fd6ef69791a5ae56f45038b8f2e0509e024f3e
Homepage: https://cran.r-project.org/package=gvcR
Description: CRAN Package 'gvcR' (Genotypic Variance Components)
 Functionalities to compute model based genetic components i.e. genotypic
 variance, phenotypic variance and heritability for given traits of different
 genotypes from replicated data using methodology explained by Burton, G. W.
 & Devane, E. H. (1953) (<doi:10.2134/agronj1953.00021962004500100005x>) and
 Allard, R.W. (2010, ISBN:8126524154).

Package: r-cran-gvlma
Architecture: all
Version: 1.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gvlma_1.0.0.3-1.ca2004.1_all.deb
Size: 80652
MD5sum: f64c2b74c464af120ce1136d3f40d1b5
SHA1: 6ac3cc69e4fa7fe186907c328ee75ed55a7edd3f
SHA256: 6a7a725fa949fcb9e95310c73e6faa8143e5122cb6651fa4bb90a33f17ece5fd
SHA512: b16275752002f644764bf0bab71c34c79e29583b3f219408fac3ee40ee9f55b44d13e0a9e0f4f856bf08a9f823fd0eecdeba16d05ea0d1baa4f50bf1f723212c
Homepage: https://cran.r-project.org/package=gvlma
Description: CRAN Package 'gvlma' (Global Validation of Linear Models Assumptions)
 Methods from the paper: Pena, EA and Slate, EH, "Global Validation of Linear
 Model Assumptions," J. American Statistical Association, 101(473):341-354,
 2006.

Package: r-cran-gvs
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-bien, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-gvs_0.0.1-1.ca2004.1_all.deb
Size: 35124
MD5sum: d1ba5895f143d90369689d9cd1892ea4
SHA1: 94d71d7823f5e8f518959fca0bf83a2a493917e1
SHA256: 30cd535c4145b594a037234ddf4a7850b5ef975b3a4b9d2730cd1fbc336b23de
SHA512: 6deb897cb73fdbbb337bb69fc7d7d464e4932393624c992bff7b744a72f52c5f281f3a6c4530e890f8532e53df66a641d62cf74e91c07a3711a790cd2f2e19ac
Homepage: https://cran.r-project.org/package=GVS
Description: CRAN Package 'GVS' ('Geocoordinate Validation Service')
 The 'Geocoordinate Validation Service' (GVS) runs checks of coordinates in
 latitude/longitude format. It returns annotated coordinates with additional
 flags and metadata that can be used in data cleaning.  Additionally, the
 package has functions related to attribution and metadata information. More
 information can be found at
 <https://github.com/ojalaquellueva/gvs/tree/master/api>.

Package: r-cran-gwalkr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8490
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-openssl, r-cran-shiny, r-cran-shinycssloaders, r-cran-dbi
Suggests: r-cran-duckdb
Filename: pool/dists/focal/main/r-cran-gwalkr_0.2.1-1.ca2004.1_all.deb
Size: 1304504
MD5sum: 5ab18359012c9f6885ca97b5211b7687
SHA1: 177a95ed2c9fe7cc9f9458f7570741fc44249967
SHA256: 9373095fbc83edb6504385bd85c886305c7b5199544929c05410aeff688fc3f0
SHA512: 07a20ed8444b916c76ec8a07fb267a4f96804beaa253657532a263a12aff2f8209652dc583b6b93e3c8645214a84a86a7501ba613561347924940a9f0434011b
Homepage: https://cran.r-project.org/package=GWalkR
Description: CRAN Package 'GWalkR' (Interactive Exploratory Data Analysis Tool)
 Simplify your R data analysis and data visualization workflow by turning
 your data frame into an interactive 'Tableau'-like interface, leveraging the
 'graphic-walker' JavaScript library and the 'htmlwidgets' package.

Package: r-cran-gwars
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5019
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-ggrepel, r-cran-dplyr, r-cran-tidyr, r-cran-data.table, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gwars_0.3.0-1.ca2004.1_all.deb
Size: 4581256
MD5sum: 7e9fc8aa5e68a44f136c18184ee01f85
SHA1: 6cefac35f6747b1eb71b25a0bbe26714f83dbb76
SHA256: fc202c7ee3d4f79b182fcaa1996331c5f986a4b7a23f29c100b2d312052cb5ef
SHA512: 0831efec1205eacc2ac56dedb9d27da20c27fa1f597e54aaaf48fc3116955fb9a02ecb59f4a3203b61d4959d0605a04ac2d6d0c9a86f4eda09051fe36d927e5e
Homepage: https://cran.r-project.org/package=gwaRs
Description: CRAN Package 'gwaRs' (Manhattan, Q-Q, and PCA Plots using 'ggplot2')
 Generate Manhattan, Q-Q, and PCA plots from GWAS and PCA results using
 'ggplot2'.

Package: r-cran-gwasbycluster
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-snpstats, r-cran-rootsolve, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-gwasbycluster_0.1.7-1.ca2004.1_all.deb
Size: 253960
MD5sum: 0ef32e972f575dc6c5c459b5e992543c
SHA1: 35443c7f230a9fa0ceb16fe891475484a356c2e7
SHA256: d8d817f687a565006e298a41dcb9390bbb20b8bd70dafabc4e78e1e8c6ba7af6
SHA512: ff4ddf452ed3b3a6a91483985e276e4d0c6bdc08dd4c37acbcc7548a21e02e202b35ab0c5f641d6f0462b162ee282e2cf5a1845dae713984cc7d10b7c9ade0fa
Homepage: https://cran.r-project.org/package=GWASbyCluster
Description: CRAN Package 'GWASbyCluster' (Identifying Significant SNPs in Genome Wide Association Studies(GWAS) via Clustering)
 Identifying disease-associated significant SNPs using clustering approach.
 This package is implementation of method proposed in Xu et al (2019)
 <DOI:10.1038/s41598-019-50229-6>.

Package: r-cran-gwasforest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue
Filename: pool/dists/focal/main/r-cran-gwasforest_1.0.0-1.ca2004.1_all.deb
Size: 286388
MD5sum: e9d0643edec254dfc1cf14f5bc5e9424
SHA1: bded9eef4c1ca5e9b3cf364805cc5925b2e9ffdc
SHA256: 9c40290a9492fd583f6feb39eecb13c990e6b5b7aec6c18ae2d3973af0d6f0b8
SHA512: 8f6e9b0ac74e63835f24a769424608adf10c9873a4d2fdbd3afb26e945c3337aa0cbaa82c994958c1df1b5a352bef400c240037f85f1c7388637d6a191f8a7a8
Homepage: https://cran.r-project.org/package=gwasforest
Description: CRAN Package 'gwasforest' (Make Forest Plot with GWAS Data)
 Extract and reform data from GWAS (genome-wide association study) results,
 and then make a single integrated forest plot containing multiple windows of
 which each shows the result of individual SNPs (or other items of interest).

Package: r-cran-gwasinspector
Architecture: all
Version: 1.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ini, r-cran-futile.logger, r-cran-data.table, r-cran-hash, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-rsqlite, r-cran-kableextra, r-cran-r.utils, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-gwasinspector_1.7.3-1.ca2004.1_all.deb
Size: 1100776
MD5sum: a06ba9476ea7f0f60f0147ba9275809a
SHA1: 2f3dc7831725c1fa2e02779e6de2cd3864b6532d
SHA256: 0ec0783b3e7e448dd8a5e0142bbf51fb8865fbd2b018213d3fb65527d969b418
SHA512: 7958d4ab1f2f47dd9a49733620d1ee7c9e63b14a1821dc6ae1fd1b5d0f1df0c9baea755cce8127c30cf7bbfb9b1b08986e27c319751e3565008bfd55190b5392
Homepage: https://cran.r-project.org/package=GWASinspector
Description: CRAN Package 'GWASinspector' (Comprehensive and Easy to Use Quality Control of GWAS Results)
 When evaluating the results of a genome-wide association study (GWAS), it is
 important to perform a quality control to ensure that the results are valid,
 complete, correctly formatted, and, in case of meta-analysis, consistent
 with other studies that have applied the same analysis. This package was
 developed to facilitate and streamline this process and provide the user
 with a comprehensive report.

Package: r-cran-gwasrapidd
Architecture: all
Version: 0.99.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1523
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-urltools, r-cran-pingr, r-cran-stringr, r-cran-dplyr, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-glue, r-cran-tidyr, r-cran-assertthat, r-cran-rlang, r-cran-lubridate, r-cran-plyr, r-cran-testthat, r-cran-progress, r-cran-writexl
Suggests: r-cran-httptest, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-gwasrapidd_0.99.18-1.ca2004.1_all.deb
Size: 1085956
MD5sum: feffce6f7403efbe6119512b1fb7b054
SHA1: 9af4da163d4f102bb182f94ab6d677127665b932
SHA256: 5a5ce7e6f417d2a343710360b28e2c5977e6567396010bdd4b3f1c42ec89868a
SHA512: ac61e78752ff8694627843778e74954b117cb7e1afae30107f11e2bcd53be9a2d6b757b084504db4d01e9ab79465866641826a0463fbe175674ec53a1c85a782
Homepage: https://cran.r-project.org/package=gwasrapidd
Description: CRAN Package 'gwasrapidd' ('REST' 'API' Client for the 'NHGRI'-'EBI' 'GWAS' Catalog)
 'GWAS' R 'API' Data Download.  This package provides easy access to the
 'NHGRI'-'EBI' 'GWAS' Catalog data by accessing the 'REST' 'API'
 <https://www.ebi.ac.uk/gwas/rest/docs/api/>.

Package: r-cran-gwavr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-leaflet.extras, r-cran-nhdplustools, r-cran-purrr, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-promises, r-cran-miniui, r-cran-shinywidgets, r-cran-tidyr, r-cran-units, r-cran-elevatr, r-cran-whitebox, r-cran-terra, r-cran-rlang, r-cran-htmlwidgets
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-readr, r-cran-magick, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwavr_0.3.2-1.ca2004.1_all.deb
Size: 4012380
MD5sum: 2ad386d313522a93230c5e5447ac6f1a
SHA1: b44923ad3950add3a16bce955b672128d6eceeda
SHA256: 2de0b9e9ceaaeb88e5c5fb2d162dfd323191d7538e81d22ae79879b3e107a53e
SHA512: 17e365f9e61fc7b61d653150fb4a63b9dc8bf3f25d0ee79993775d2278c6b372f21a6133886b54e0b3d84a57a98fce312d888e7f605a9cbbd187069e4ea13236
Homepage: https://cran.r-project.org/package=gwavr
Description: CRAN Package 'gwavr' (Get Water Attributes Visually in R)
 Provides methods to Get Water Attributes Visually in R ('gwavr'). This
 allows the user to point and click on areas within the United States and get
 back hydrological data, e.g. flowlines, catchments, basin boundaries,
 comids, etc.

Package: r-cran-gwbr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gwbr_1.0.5-1.ca2004.1_all.deb
Size: 197332
MD5sum: fb2838845bbde0c83b81fa337224400c
SHA1: 53e28c66715e2b15d8441d4306f4e5d0ad5a6140
SHA256: e93f674ee869687027df981ac00159ce8d0b9cd713d47be7740a9cd29bbad6bf
SHA512: b8f2376f8487f12770b284fb316041f27640180af2352b96d0705994a973ef9559b4785cc8d0e6a27a792423d0fc8b49da212ac2d2e8c6b99d9067bd7998dc8d
Homepage: https://cran.r-project.org/package=gwbr
Description: CRAN Package 'gwbr' (Local and Global Beta Regression)
 Fit a regression model for when the response variable is presented as a
 ratio or proportion. This adjustment can occur globally, with the same
 estimate for the entire study space, or locally, where a beta regression
 model is fitted for each region, considering only influential locations for
 that area. Da Silva, A. R. and Lima, A. O. (2017)
 <doi:10.1016/j.spasta.2017.07.011>.

Package: r-cran-gwer
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-maptools, r-cran-matrix, r-cran-spdata, r-cran-spdep, r-cran-gwmodel, r-cran-spgwr, r-cran-assertthat, r-cran-glogis
Suggests: r-cran-rgdal, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwer_3.0-1.ca2004.1_all.deb
Size: 371136
MD5sum: f3384be7028e791e476e828fbecfcee9
SHA1: 2880562c6c87eb6b13125dc719977c9bcb1c320d
SHA256: d3ad3a0229af62f072e9773e403fb024c834cdb4feb89a61312198b682d1194c
SHA512: e4d9cb45eced2e562b2256bdeb42880876b6e4262498b9de39fa213db2dadf2175ab4937f42f826585d6ccc825711c2543540d3d64b5019a34e599805346191a
Homepage: https://cran.r-project.org/package=gwer
Description: CRAN Package 'gwer' (Geographically Weighted Elliptical Regression)
 Computes a elliptical regression model or a geographically weighted
 regression model with elliptical errors using Fisher's score algorithm.
 Provides diagnostic measures, residuals and analysis of variance. Cysneiros,
 F. J. A., Paula, G. A., and Galea, M. (2007)
 <doi:10.1016/j.spl.2007.01.012>.

Package: r-cran-gwg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gwg_1.0-1.ca2004.1_all.deb
Size: 53044
MD5sum: d9a2374b8e1c00d90066a08885b1e175
SHA1: ad4e5d452daa8fc723590e1bd4af4f1830432573
SHA256: fcf075e9dd6da62cdfe8572dc77547b06668274ed995cba8ed034092cf6abb6d
SHA512: 114281f4d81cae5daa7864a6b83230c815c906fd86afe36102f3b662b3f3068f9649145e406ab0db7c998cef421c681cea44f542fe5f5a9618138591d7aa6fa2
Homepage: https://cran.r-project.org/package=GWG
Description: CRAN Package 'GWG' (Calculation of probabilities for inadequate and excessivegestational weight gain)
 Based on calculations of 758 women this package calculates positive
 predictive values (PPV) and negative predictive values (NPV) for inadequate
 and excessive gestational weight gain (GWG) for different prevalences for
 different BMI categories.

Package: r-cran-gwi
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gwi_1.0.2-1.ca2004.1_all.deb
Size: 35692
MD5sum: 68b612f9f388eb01fd5e4fd47d714ef3
SHA1: 6382393e8d921b9ce3a11411cb423c58a241dafa
SHA256: be9b294fb9e29841fbea835933d89fa1e65f2028410d9835a150e590d750e60b
SHA512: 731a28cc825cea7834b618ca3e6bb58c038a1cbc9f1f684fac97201bcdf4f963f26394b258b98a53c19fc28afa17e16a6ec81b6682c34738be2d342a8fa64168
Homepage: https://cran.r-project.org/package=GWI
Description: CRAN Package 'GWI' (Count and Continuous Generalized Variability Indexes)
 Firstly, both functions of the univariate Poisson dispersion index (DI) for
 count data and the univariate exponential variation index (VI) for
 nonnegative continuous data are performed. Next, other functions of
 univariate indexes such the binomial dispersion index (DIb), the negative
 binomial dispersion index (DInb) and the inverse Gaussian variation index
 (VIiG) are given. Finally, we are computed some multivariate versions of
 these functions such that the generalized dispersion index (GDI) with its
 marginal one (MDI) and the generalized variation index (GVI) with its
 marginal one (MVI) too.

Package: r-cran-gwid
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1620
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-bioc-gdsfmt, r-bioc-snprelate, r-cran-matrix, r-cran-ggplot2, r-cran-plotly, r-cran-rcpproll, r-cran-piggyback, r-cran-shiny, r-cran-lattice
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwid_0.3.0-1.ca2004.1_all.deb
Size: 1553268
MD5sum: 7e4432147e78557e39e4fc9ed4a17bb6
SHA1: 5a10abf88273c970c7237d5687fe638e6b92cd33
SHA256: 26c2182104c31bff9073192b64179ab337c074e993341cee560ce7eadb15b270
SHA512: 25473a3bfcb3eba2a81f5dd31e090d9f4e245995c9d203cadc7ac0b504134516ca8c9e63a3f9b6cec299ce809c29db017e02faa61f12588e3f7847de4eb68c61
Homepage: https://cran.r-project.org/package=gwid
Description: CRAN Package 'gwid' (Genome-Wide Identity-by-Descent)
 Methods and tools for the analysis of Genome Wide Identity-by-Descent
 ('gwid') mapping data, focusing on testing whether there is a higher
 occurrence of Identity-By-Descent (IBD) segments around potential causal
 variants in cases compared to controls, which is crucial for identifying
 rare variants. To enhance its analytical power, 'gwid' incorporates a
 Sliding Window Approach, allowing for the detection and analysis of signals
 from multiple Single Nucleotide Polymorphisms (SNPs).

Package: r-cran-gwidgets2
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest
Filename: pool/dists/focal/main/r-cran-gwidgets2_1.0-10-1.ca2004.1_all.deb
Size: 1038636
MD5sum: d1373b62c076d9571b8dcb16b88beaf7
SHA1: 3e0dcc34decae5db1cee0274364648cb38224dd0
SHA256: 20ad60ac7608a550179f3fa2ff7ba0d1e9544ef6ed42e58dae46d3d4090a177f
SHA512: 957c84b27f3c484cceaa6c2d828a375ca9731b2268685f5159a72e767a9b82a082d75c3e9fa32849dcc3b82f04a31e5ecd0c2ccc2c96713f14a32f87bcbe7c85
Homepage: https://cran.r-project.org/package=gWidgets2
Description: CRAN Package 'gWidgets2' (Rewrite of gWidgets API for Simplified GUI Construction)
 Re-implementation of the 'gWidgets' API. The API is defined in this package.
 A second, toolkit-specific package is required to use it. At this point only
 'gWidgets2tcltk' is viable.

Package: r-cran-gwidgets2tcltk
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3271
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-digest, r-cran-memoise, r-cran-gwidgets2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwidgets2tcltk_1.0-9-1.ca2004.1_all.deb
Size: 1624764
MD5sum: 009e442a3610db4032c8e85669bb674d
SHA1: 95079ab64422e794dcacfa028bb4ef8f9eea9cf3
SHA256: bda75d17b2c8a054015986244ec2d0cd0defd71e358b744da8963a633e1749c0
SHA512: b5922b0f10e76c59e2ae600bee7e6cced50765c1561c10643fda11bb05b56be487b18d8a66f231d412297b12a9111c00662907ee862b00d522d91ee84db7b8b6
Homepage: https://cran.r-project.org/package=gWidgets2tcltk
Description: CRAN Package 'gWidgets2tcltk' (Toolkit Implementation of gWidgets2 for tcltk)
 Port of the 'gWidgets2' API for the 'tcltk' package.

Package: r-cran-gwlasso
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggside, r-cran-glmnet, r-cran-gwmodel, r-cran-lifecycle, r-cran-magrittr, r-cran-progress, r-cran-rlang, r-cran-sf, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-maps, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-gwlasso_1.0.1-1.ca2004.1_all.deb
Size: 103440
MD5sum: b425e12b8ecaf1bad528baa2bf0bc787
SHA1: 52f36c4561800e449a4f4fabfc9b8b96efc2781c
SHA256: 6cda11c88a979983b14134cb9154a78d636acb5319008268f3056c6c7d6cf0be
SHA512: 248d79b475a5bc87c97b87ca3c8145e565d705fd487e62530416f91d8d2f38f8a5748e3a7a301efc1804a47106ffab80c59f050d67fddfa027bbdb4743660625
Homepage: https://cran.r-project.org/package=GWlasso
Description: CRAN Package 'GWlasso' (Geographically Weighted Lasso)
 Performs geographically weighted Lasso regressions. Find optimal bandwidth,
 fit a geographically weighted lasso or ridge regression, and make
 predictions.  These methods are specially well suited for ecological
 inferences. Bandwidth selection algorithm is from A. Comber and P. Harris
 (2018) <doi:10.1007/s10109-018-0280-7>.

Package: r-cran-gwlelast
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-geosphere, r-cran-sp, r-cran-spgwr, r-cran-glmnet, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-gwlelast_1.2.2-1.ca2004.1_all.deb
Size: 21380
MD5sum: 0ade295de187c2b1e75431e5e365b3dc
SHA1: e158e8be3ceac83ce0c11b09004df0cb3890ea30
SHA256: 635883ca9e553babf7bc54fc0e872d6006a1c9747fc2c2f5068527a0b8c071f0
SHA512: 0315adfb53d97bc8a59fd4fb3d5c47eed64b03e6c543cc9a642d5a5a3bed28083418587e96e90852b02c8b9d08cf69556876fa7e2d4dee646d2da424c0aa7906
Homepage: https://cran.r-project.org/package=GWLelast
Description: CRAN Package 'GWLelast' (Geographically Weighted Logistic Elastic Net Regression)
 Fit a geographically weighted logistic elastic net regression. Detailed
 explanations can be found in Yoneoka et al. (2016): New algorithm for
 constructing area-based index with geographical heterogeneities and variable
 selection: An application to gastric cancer screening
 <doi:10.1038/srep26582>.

Package: r-cran-gwmodelvis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 809
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gwmodel, r-cran-sf, r-cran-ggspatial, r-cran-shiny, r-cran-sp, r-cran-shinyjs, r-cran-shinydashboard, r-cran-shinyfiles, r-cran-shinywidgets, r-cran-signal, r-cran-tuner, r-cran-dplyr, r-cran-dt, r-cran-av, r-cran-servr, r-cran-leaflet.extras, r-cran-leaflet, r-cran-ggforce
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwmodelvis_1.0.1-1.ca2004.1_all.deb
Size: 358880
MD5sum: 800a4a856afd364eb594a8334595bec9
SHA1: ffa91c50596ff3db922dd1bd9bffbbdf8668b417
SHA256: 6583b600ee5e8104178f7dd7205ef0ba1fde2d3b3b00a44562e488e00c13bc9d
SHA512: 49eb1addf8b77c04938e56d36aa47153646e039e6dab30e55607cbdcf315e30c09d49dd1d08d87b5ce9f950f155969e3689b644922f9a2c9b62c6e28fa02db6d
Homepage: https://cran.r-project.org/package=GWmodelVis
Description: CRAN Package 'GWmodelVis' (Visualization Tools for Geographically Weighted Models)
 The increasing popularity of geographically weighted (GW) techniques has
 resulted in the development of several R packages, such as 'GWmodel'. To
 facilitate their usages, 'GWmodelVis' provides a 'shiny'-based interactive
 visualization toolkit for geographically weighted (GW) models.  It includes
 a number of visualization tools, including dynamic mapping of parameter
 surfaces, statistical visualization, sonification and exporting videos via
 'FFmpeg'.

Package: r-cran-gwnnegpca
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geodist, r-cran-nsprcomp, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwnnegpca_0.0.5-1.ca2004.1_all.deb
Size: 21932
MD5sum: f11813ff9a037952587eaaf4f0e1bc98
SHA1: 7329dce0f09123212e8f3a15aebc897a8d680782
SHA256: 157db3d819efe4a459c4b544b3896f2b9caaa69e8434910faf694d2271d34172
SHA512: 9ec7b70114c6599c8d7dfa0468102cf769d52aa15332b7142e73a5a1976ade0826aa64dc2ccef7f3535697d86a4769df8f202e9abb410434bd2d78b9240acad2
Homepage: https://cran.r-project.org/package=GWnnegPCA
Description: CRAN Package 'GWnnegPCA' (Geographically Weighted Non-Negative Principal ComponentsAnalysis)
 Implements a geographically weighted non-negative principal components
 analysis, which consists of the fusion of geographically weighted and sparse
 non-negative principal components analyses
 <doi:10.17608/k6.auckland.9850826.v1>.

Package: r-cran-gwpcor
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-sp, r-cran-sf, r-cran-geodist, r-cran-pracma, r-cran-corpcor, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gwpcor_0.1.7-1.ca2004.1_all.deb
Size: 41080
MD5sum: 05759a37c7cbf75990459724dbf8aebc
SHA1: 14e24ba374e88110b86ed8780bb7bfb2a6c9dd16
SHA256: 902d2a8b369cb321725c01617014afbe73c75c9cb2b67e14921d8e2dbcd73f06
SHA512: 060ce4ce86d1544e2e8db0f536b8d7fc8b9954f4ad0ad206c92768f75555e38b28ae8d77c15665531bff6de1c07449352faddd3ad16b90c426da2107e22cf05c
Homepage: https://cran.r-project.org/package=GWpcor
Description: CRAN Package 'GWpcor' (Geographically Weighted Partial Correlation Coefficient)
 Implements a geographically weighted partial correlation which is an
 extension from gwss() function in the 'GWmodel' package (Percival and
 Tsutsumida (2017) <doi:10.1553/giscience2017_01_s36>).

Package: r-cran-gwpr.light
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3059
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-gwmodel, r-cran-iterators, r-cran-lmtest, r-cran-plm, r-cran-sp
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-rgeos, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-gwpr.light_0.2.1-1.ca2004.1_all.deb
Size: 3002352
MD5sum: b34413748cf93ae2efdbebf7f2ee381e
SHA1: f74c1972c179138de145c4cf9b3106bc48001c30
SHA256: ad8b5bb8b6a9c10d5bbec4efc20b1220c1061fb42722c882d56650f19879cf14
SHA512: cbd02685c36f673257b4d2ee64ad5da7fcb5bce5c82bd7ddad4c53f7df79fc39f4ae05e1456d4d77cae581233107f449acd79b1badee671deac5e5f1cc52bd50
Homepage: https://cran.r-project.org/package=GWPR.light
Description: CRAN Package 'GWPR.light' (Geographically Weighted Panel Regression)
 Geographically weighted panel regression is grounded in a branch of spatial
 statistics. Using geographically weights, the geographically weighted panel
 regression is try to solve the residuals from panel regression clustering
 spatially. To investigate whether the residuals cluster spatially, the
 Moran's I test is also improved. Furthermore, three local statistic tests
 are contained to help the users select model. The major references are
 Fotheringham et al. (2003, ISBN:978-0-470-85525-6) and Beenstock and
 Felsenstein (2019, ISBN:978-3-030-03614-0).

Package: r-cran-gwqs
Architecture: all
Version: 3.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3139
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-broom, r-cran-rlist, r-cran-mass, r-cran-reshape2, r-cran-plotroc, r-cran-knitr, r-cran-kableextra, r-cran-nnet, r-cran-future, r-cran-future.apply, r-cran-pscl, r-cran-ggrepel, r-cran-cowplot, r-cran-matrix, r-cran-car, r-cran-bookdown
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-gwqs_3.0.5-1.ca2004.1_all.deb
Size: 2066388
MD5sum: 4568120cd56a0e10e20457c77c3adbcc
SHA1: 27bd1ae33ebaa8bc57ba45c69899aef25960de1b
SHA256: 117cbf425e42552607853ae8d9931d33b2f7a6c0d96a17c4efbc22a51723f2d5
SHA512: 256ee9568232e73c4c394bc4f8f1cdf7e25b23becdcf1f2b23a9612b672e01ae22c581b4e9c68ee98648e4196f8d02a493d0a5fcad770f1dc270d0ac914e7b9b
Homepage: https://cran.r-project.org/package=gWQS
Description: CRAN Package 'gWQS' (Generalized Weighted Quantile Sum Regression)
 Fits Weighted Quantile Sum (WQS) regression (Carrico et al. (2014)
 <doi:10.1007/s13253-014-0180-3>), a random subset implementation of WQS
 (Curtin et al. (2019) <doi:10.1080/03610918.2019.1577971>), a repeated
 holdout validation WQS (Tanner et al. (2019)
 <doi:10.1016/j.mex.2019.11.008>) and a WQS with 2 indices (Renzetti et al.
 (2023) <doi:10.3389/fpubh.2023.1289579>) for continuous, binomial,
 multinomial, Poisson, quasi-Poisson and negative binomial outcomes.

Package: r-cran-gwrlasso
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qpdf, r-cran-numbers, r-cran-glmnet, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gwrlasso_0.1.0-1.ca2004.1_all.deb
Size: 36596
MD5sum: 90a2bd041341b3b80ed4dfc35f3c1af9
SHA1: 8a09c5a3c641086d7167120c6d200a2f116a3014
SHA256: c30b67dc9d89de921ccb2aa8fc4d43be1da275073e272736752b1edb9c014e1e
SHA512: ff84ee0690e8be744fac5cea30c78af2beba9c66112cfd1992e601fe79dd468b8c38e6053f0ea77705efb51986f2a166b0fa3ebc6868d8a0b0d4c6f20cad7539
Homepage: https://cran.r-project.org/package=GWRLASSO
Description: CRAN Package 'GWRLASSO' (A Hybrid Model for Spatial Prediction Through Local Regression)
 It implements a hybrid spatial model for improved spatial prediction by
 combining the variable selection capability of LASSO (Least Absolute
 Shrinkage and Selection Operator) with the Geographically Weighted
 Regression (GWR) model that captures the spatially varying relationship
 efficiently. For method details see, Wheeler,
 D.C.(2009).<DOI:10.1068/a40256>.  The developed hybrid model efficiently
 selects the relevant variables by using LASSO as the first step; these
 selected variables are then incorporated into the GWR framework, allowing
 the estimation of spatially varying regression coefficients at unknown
 locations and finally predicting the values of the response variable at
 unknown test locations while taking into account the spatial heterogeneity
 of the data.  Integrating the LASSO and GWR models enhances prediction
 accuracy by considering spatial heterogeneity and capturing the local
 relationships between the predictors and the response variable. The
 developed hybrid spatial model can be useful for spatial modeling,
 especially in scenarios involving complex spatial patterns and large
 datasets with multiple predictor variables.

Package: r-cran-gwrm
Architecture: all
Version: 2.1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-gwrm_2.1.0.4-1.ca2004.1_all.deb
Size: 90528
MD5sum: 117b7e63c430b37b28d7cc8a50ca5bdc
SHA1: d30b1e9287aa9e0b6f1ffa0bc1167bd1a5e044b7
SHA256: 4fbe5221537358f5361a5f3c24aef02833fe67da37d96b88c08d103865c6b42e
SHA512: ea435387f7dc69d56752b083cdbc3df6cdbce4184851987002ed7966b7917d0c7540aa9bb1c3732eaed1bfd241b1d9af326ccfad707f7ed0eaa8c66eebd89b26
Homepage: https://cran.r-project.org/package=GWRM
Description: CRAN Package 'GWRM' (Generalized Waring Regression Model for Count Data)
 Statistical functions to fit, validate and describe a Generalized Waring
 Regression Model (GWRM).

Package: r-cran-gwrpvr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gwrpvr_1.0-1.ca2004.1_all.deb
Size: 47684
MD5sum: b349fe0e11efcf3d9d6a9ad768e2323c
SHA1: dd4321c55f2798607f712fbb72bfd4df394753f1
SHA256: 5819a48edb77f855e6eec6df3de5bd44fa49beaee9cc9e83775380950944134d
SHA512: 99213135a7688dafc311e3b8a07b6bf1d54b4993de0a7376b96bd43abd03d773eda0087bc744a116d603e8a57fdacc7f49f652de6b3c297b3823b5b3086e606d
Homepage: https://cran.r-project.org/package=gwrpvr
Description: CRAN Package 'gwrpvr' (Genome-Wide Regression P-Value (Gwrpv))
 Computes the sample probability value (p-value) for the estimated
 coefficient from a standard genome-wide univariate regression.  It computes
 the exact finite-sample p-value under the assumption that the measured
 phenotype (the dependent variable in the regression) has a known
 Bernoulli-normal mixture distribution.  Finite-sample genome-wide regression
 p-values (Gwrpv) with a non-normally distributed phenotype (Gregory Connor
 and Michael O'Neill, bioRxiv 204727 <doi:10.1101/204727>).

Package: r-cran-gwrr
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fields, r-cran-lars
Filename: pool/dists/focal/main/r-cran-gwrr_0.2-2-1.ca2004.1_all.deb
Size: 68204
MD5sum: 30d1fe62df767a442c0ebb02c133368d
SHA1: 704f8b0301e92576201ff0321e23b1928261d59a
SHA256: 723c162b6818fd5b71db422a5383b8133740dbc7cf02bb9cd8fc4143f8d3593a
SHA512: 9e89d3845e2ed122acfcd074ff9d0ae68276566115777909c0b30c8b8148813c3738e1ef93d41a375c9c69e330b29dc80d1ceeec17116044697e85546280c238
Homepage: https://cran.r-project.org/package=gwrr
Description: CRAN Package 'gwrr' (Fits Geographically Weighted Regression Models with DiagnosticTools)
 Fits geographically weighted regression (GWR) models and has tools to
 diagnose and remediate collinearity in the GWR models. Also fits
 geographically weighted ridge regression (GWRR) and geographically weighted
 lasso (GWL) models. See Wheeler (2009) <doi:10.1068/a40256> and Wheeler
 (2007) <doi:10.1068/a38325> for more details.

Package: r-cran-gwsdat
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2337
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-deldir, r-cran-digest, r-cran-geometry, r-cran-kendall, r-cran-lattice, r-cran-lubridate, r-cran-mass, r-cran-matrix, r-cran-officer, r-cran-raster, r-cran-readxl, r-cran-rhandsontable, r-cran-sf, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinyjs, r-cran-sm, r-cran-sp, r-cran-splancs, r-cran-zoo
Suggests: r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-gwsdat_3.2.1-1.ca2004.1_all.deb
Size: 1721308
MD5sum: de7c9258fb776d09fba623270148a374
SHA1: f4be3be83309ecfc9397228e6fac4c5d6d328188
SHA256: 8cf9252d5a70d1123df81c6273ecea060bc56d3464671238989e2baeb335dd80
SHA512: 1893676a105f35a4b23bd2bbb3da52c3dbf543fb44657113720b2c05625dd5f33f9d3143939df9530f369b28a8ff0783a6f0eab430ff2506f9622a22eade70ba
Homepage: https://cran.r-project.org/package=GWSDAT
Description: CRAN Package 'GWSDAT' (GroundWater Spatiotemporal Data Analysis Tool (GWSDAT))
 Shiny application for the analysis of groundwater monitoring data, designed
 to work with simple time-series data for solute concentration and ground
 water elevation, but can also plot non-aqueous phase liquid (NAPL) thickness
 if required. Also provides the import of a site basemap in GIS shapefile
 format.

Package: r-cran-gwsignif
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gwsignif_1.2-1.ca2004.1_all.deb
Size: 21936
MD5sum: 9bcb895cc5b2e6acc06455e7fb1a77f8
SHA1: 9812f4ce6cabe0ee400dd832f893630bb53a1b70
SHA256: e76e50511c5d69a4feb914d8a336485dbe8efcc77cab2b39a03adf33075c543d
SHA512: 5fb3d8647aac6d5df6dd8238cbed99a4c7a6df3004db5e7438988b4480dd0dc30af7ccc5ad64561f8794bf85a13bc094056537ec7233e07baa7f8006c7a2e2b4
Homepage: https://cran.r-project.org/package=GWsignif
Description: CRAN Package 'GWsignif' (Estimating Genome-Wide Significance for Whole Genome SequencingStudies, Either Single SNP Tests or Region-Based Tests)
 The correlations and linkage disequilibrium between tests can vary as a
 function of minor allele frequency thresholds used to filter variants, and
 also varies with different choices of test statistic for region-based tests.
 Appropriate genome-wide significance thresholds can be estimated empirically
 through permutation on only a small proportion of the whole genome.

Package: r-cran-gwzinbr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-gwzinbr_0.1.0-1.ca2004.1_all.deb
Size: 162164
MD5sum: 2f2f0bbe8a2136e6471b8a28a75975e8
SHA1: 27973ff3bf1bc5eb047060b36e8b87a9abef6b51
SHA256: 00b65aacab80d629cbe6d3e791c0064ef28ad014463cdefa099b67a48e35ac47
SHA512: 2b5d918806d174d26414c186e8760b55e65812cc53c347539042e865e9c74ff54bf9416f81f2b53fcb07f672689fb42da4746b9bd442272d0351016872988f2e
Homepage: https://cran.r-project.org/package=gwzinbr
Description: CRAN Package 'gwzinbr' (Geographically Weighted Zero Inflated Negative BinomialRegression)
 Fits a geographically weighted regression model using zero inflated
 probability distributions. Has the zero inflated negative binomial
 distribution (zinb) as default, but also accepts the zero inflated Poisson
 (zip), negative binomial (negbin) and Poisson distributions. Can also fit
 the global versions of each regression model.  Da Silva, A. R. & De Sousa,
 M. D. R. (2023). "Geographically weighted zero-inflated negative binomial
 regression: A general case for count data", Spatial Statistics
 <doi:10.1016/j.spasta.2023.100790>.  Brunsdon, C., Fotheringham, A. S., &
 Charlton, M. E. (1996). "Geographically weighted regression: a method for
 exploring spatial nonstationarity", Geographical Analysis,
 <doi:10.1111/j.1538-4632.1996.tb00936.x>.  Yau, K. K. W., Wang, K., & Lee,
 A. H. (2003). "Zero-inflated negative binomial mixed regression modeling of
 over-dispersed count data with extra zeros", Biometrical Journal,
 <doi:10.1002/bimj.200390024>.

Package: r-cran-gxeprs
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1383
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-gxeprs_1.2-1.ca2004.1_all.deb
Size: 928880
MD5sum: c6362ff52036daeee58b1196ef64a6f4
SHA1: 143a6aa4676b8569f07fb096c79f52cb094f8f2f
SHA256: df3f8f51ed14a7abcee31c2dad849a494a878546e49eded167636d7a62fbb761
SHA512: c05ca2dd649c187575129ff7bb6fc560aaa260467d7b43920c7751f2351a2f5443133d0e39e49bcf26273c962c7bca6c8335e6e2d38cb5ff46704901c9b3ebbd
Homepage: https://cran.r-project.org/package=GxEprs
Description: CRAN Package 'GxEprs' (Genotype-by-Environment Interaction in Polygenic Score Models)
 A novel PRS model is introduced to enhance the prediction accuracy by
 utilising GxE effects. This package performs Genome Wide Association Studies
 (GWAS) and Genome Wide Environment Interaction Studies (GWEIS) using a
 discovery dataset. The package has the ability to obtain polygenic risk
 scores (PRSs) for a target sample. Finally it predicts the risk values of
 each individual in the target sample. Users have the choice of using
 existing models (Li et al., 2015) <doi:10.1093/annonc/mdu565>, (Pandis et
 al., 2013) <doi:10.1093/ejo/cjt054>, (Peyrot et al., 2018)
 <doi:10.1016/j.biopsych.2017.09.009> and (Song et al., 2022)
 <doi:10.1038/s41467-022-32407-9>, as well as newly proposed models for
 genomic risk prediction (refer to the URL for more details).

Package: r-cran-gym
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-gym_0.1.0-1.ca2004.1_all.deb
Size: 48128
MD5sum: b8483bfaf57e17e7b39f23968f652d37
SHA1: db3d80986588bb176baf67376b44ea4e646f547b
SHA256: 5591851337e47dca412c0c00ac12e4684dff83cc4c769deddda079c9ca44cba5
SHA512: 904a1222f0a1de93ec670dac665134a09e156b7eef2dab3b1fa99d61164cb44ff300ae7dd66c6d08ffd2bd7407cacc8e74d3cb96294f3c63ead0682669fe3f21
Homepage: https://cran.r-project.org/package=gym
Description: CRAN Package 'gym' (Provides Access to the OpenAI Gym API)
 OpenAI Gym is a open-source Python toolkit for developing and comparing
 reinforcement learning algorithms. This is a wrapper for the OpenAI Gym API,
 and enables access to an ever-growing variety of environments.  For more
 details on OpenAI Gym, please see here: <https://github.com/openai/gym>.
 For more details on the OpenAI Gym API specification, please see here:
 <https://github.com/openai/gym-http-api>.

Package: r-cran-h0
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-h0_1.0.1-1.ca2004.1_all.deb
Size: 30588
MD5sum: 4b40a1131d26b8943d0233a32cf98fad
SHA1: 4a0c64bba2bec5c6d74670e778657df060169265
SHA256: eb01fb041fa9e58c820781a6e0598a3c659538d0e39f53c5f70bc306f1095656
SHA512: e79e19f223e78be317974fafcf568a3bbced8910bc8a26eb83b1ab89f230e9821b0c27b9af727ea2d7b93ed0d1a7bcabbb9f50a4495dc7a4cde942cee1cd4bfb
Homepage: https://cran.r-project.org/package=h0
Description: CRAN Package 'h0' (A Robust Bayesian Meta-Analysis for Estimating the HubbleConstant via Time Delay Cosmography)
 We provide a toolbox to conduct a Bayesian meta-analysis for estimating the
 current expansion rate of the Universe, called the Hubble constant H0, via
 time delay cosmography. The input data are Fermat potential difference and
 time delay estimates. For a robust inference, we assume a Student's t error
 for these inputs. Given these inputs, the meta-analysis produces posterior
 samples of the model parameters including the Hubble constant via
 Metropolis-Hastings within Gibbs. The package provides an option to
 implement repelling-attracting Metropolis-Hastings within Gibbs in a case
 where the parameter space has multiple modes.

Package: r-cran-h2o4gpu
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-h2o4gpu_0.3.3-1.ca2004.1_all.deb
Size: 93132
MD5sum: 989bbc2cbb09f3fff92eb2c7569f297f
SHA1: 1af73c1d14e2357a4ba5bdab3068585aaaa695bf
SHA256: 7b4b0ccef4d0105e7a53fc1648d3ca1d74bc8d711136c07dafdf743914e6d0e4
SHA512: 7cf2531d23534456d4dcc6c582efb732ff0b1f741797b5a03644d6e42fdf27ee684d751b689a5c0c15d96fac45ae5e1a036ef3dc6a6f1490416c9dc5f12a3ca3
Homepage: https://cran.r-project.org/package=h2o4gpu
Description: CRAN Package 'h2o4gpu' (Interface to 'H2O4GPU')
 Interface to 'H2O4GPU' <https://github.com/h2oai/h2o4gpu>, a collection of
 'GPU' solvers for machine learning algorithms.

Package: r-cran-h2o
Architecture: all
Version: 3.44.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274077
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcurl, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-mlbench, r-cran-matrix, r-cran-slam, r-cran-bit64, r-cran-data.table, r-cran-rgl, r-cran-plot3drgl, r-cran-survival, r-cran-dt, r-cran-irdisplay, r-cran-htmltools, r-cran-plotly, r-cran-repr, r-cran-curl, r-cran-scales
Filename: pool/dists/focal/main/r-cran-h2o_3.44.0.3-1.ca2004.1_all.deb
Size: 263599120
MD5sum: 420854bef674fe8d06ef07345f580a08
SHA1: 9b502f5da46d0e052a17ef2cfb92cbf4af7c5c27
SHA256: 5fcd2b5c396f39b352a9a0f88aeb2e5eb347f1a2f7e724f9de5888673e936724
SHA512: e6babd1fcef6552d6a27e6c203881a6a0d21aa0fe8b61309fd98a2c0f828fb839e6c557268bd674a47018130bb21f5322ef6985d9a9a9ed9ca078923f77a793e
Homepage: https://cran.r-project.org/package=h2o
Description: CRAN Package 'h2o' (R Interface for the 'H2O' Scalable Machine Learning Platform)
 R interface for 'H2O', the scalable open source machine learning platform
 that offers parallelized implementations of many supervised and unsupervised
 machine learning algorithms such as Generalized Linear Models (GLM),
 Gradient Boosting Machines (including XGBoost), Random Forests, Deep Neural
 Networks (Deep Learning), Stacked Ensembles, Naive Bayes, Generalized
 Additive Models (GAM), ANOVA GLM, Cox Proportional Hazards, K-Means, PCA,
 ModelSelection, Word2Vec, as well as a fully automatic machine learning
 algorithm (H2O AutoML).

Package: r-cran-h2otools
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-h2o, r-cran-curl, r-cran-boot
Filename: pool/dists/focal/main/r-cran-h2otools_0.4-1.ca2004.1_all.deb
Size: 52616
MD5sum: 5bcb98d5475257e30bc8f7d2065066aa
SHA1: 0cf0266e616f8b47df84120d14aef4524eb16f22
SHA256: 765164897820c805cf49700d4130f4480ff1dfc564adfd016839848acd4cda47
SHA512: f747bb08cae3063ea48abe3261d08a1e9ec9b26e7ce81f6927252661995d81a66b77f30e7fd4dbfef081e1d8a370872e1bfe6d68910d1bae1ccd27b4cffb68be
Homepage: https://cran.r-project.org/package=h2otools
Description: CRAN Package 'h2otools' (Machine Learning Model Evaluation for 'h2o' Package)
 Enhances the H2O platform by providing tools for detailed evaluation of
 machine learning models. It includes functions for bootstrapped performance
 evaluation, extended F-score calculations, and various other metrics, aimed
 at improving model assessment.

Package: r-cran-h2x2factorial
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-h2x2factorial_2.0.0-1.ca2004.1_all.deb
Size: 115588
MD5sum: 317b03c6717c6bdc5e645c6a98345972
SHA1: 7689690a91b7b012d0aa2a6a79a611687f77dacc
SHA256: 1fc0775b0df7b984d7ddc2ddd945526016af12711be5d86e8b6c42ecfaea28c0
SHA512: 5a9b801e9d0219aa3c89b22a05028ba934eea6a2a72048c83d1bdc539522545cbf753af84aa58e96dc30d22ff7aad4a5460d2db424fbd2f754bf62654f540144
Homepage: https://cran.r-project.org/package=H2x2Factorial
Description: CRAN Package 'H2x2Factorial' (Sample Size Calculation in Hierarchical 2x2 Factorial Trials)
 Implements the sample size methods for hierarchical 2x2 factorial trials
 under two choices of effect estimands and a series of hypothesis tests
 proposed in "Sample size calculation in hierarchical 2x2 factorial trials
 with unequal cluster sizes" (under review), and provides the table and plot
 generators for the sample size estimations.

Package: r-cran-h3jsr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1592
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geojsonsf, r-cran-sf, r-cran-tidyr, r-cran-v8
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-h3jsr_1.3.1-1.ca2004.1_all.deb
Size: 671480
MD5sum: fa4092efff880ac5d88d3fefc4a5e128
SHA1: f544ca7aa2c51ee9950ea2db397b34b827281adc
SHA256: 0aa8c12268dcdb4e3de2e266e2f89e1a4c51b1dfa084f9151bc37750770e5f22
SHA512: 847a3543e4c280276ada13d2c9cbc21b7f57115c91eaf04c9d140a0eb9b5b8ce828ae2ba2f1be42661d33414c33d3c95a18b8acccbd68a91c813a1732d241658
Homepage: https://cran.r-project.org/package=h3jsr
Description: CRAN Package 'h3jsr' (Access Uber's H3 Library)
 Provides access to Uber's H3 library for geospatial indexing via its
 JavaScript transpile 'h3-js' <https://github.com/uber/h3-js> and 'V8'
 <https://github.com/jeroen/v8>.

Package: r-cran-haarfisz
Architecture: all
Version: 4.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-haarfisz_4.5.4-1.ca2004.1_all.deb
Size: 53292
MD5sum: 2b8360969aca8fcd0b90a3c92cab0d88
SHA1: dc362b1d4fbe120dd3ced90f32f8c24ea94445b5
SHA256: 4e521593b2b4c6a504646ba56c583ce1df4351aaa255a3fea647a9899908954a
SHA512: ac3df08a40e0ab227484c1848f8a4609fe1afc9fb3ef6992a0f96f24431ffc3e08716bcccadc787bbc46e7c83f144c649757805a9a1396597a4eeb5157edb196
Homepage: https://cran.r-project.org/package=haarfisz
Description: CRAN Package 'haarfisz' (Software to Perform Haar Fisz Transforms)
 A Haar-Fisz algorithm for Poisson intensity estimation.  Will denoise
 Poisson distributed sequences where underlying intensity is not constant.
 Uses the multiscale variance-stabilization method called the Haar-Fisz
 transform.  Contains functions to carry out the forward and inverse
 Haar-Fisz transform and denoising on near-Gaussian sequences.  Can also
 carry out cycle-spinning.  Main reference: Fryzlewicz, P. and Nason, G.P.
 (2004) "A Haar-Fisz algorithm for Poisson intensity estimation."  Journal of
 Computational and Graphical Statistics, 13, 621-638.
 <doi:10.1198/106186004X2697>.

Package: r-cran-hablar
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2399
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-webshot, r-cran-gapminder, r-cran-diagrammer, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-hablar_0.3.2-1.ca2004.1_all.deb
Size: 563952
MD5sum: 279622012e1cb4fe31d1bf08a69b10ec
SHA1: 232b48d007bb6ca5072addee9d0e09de86d4614f
SHA256: eb3f78576291de0314a3ba425c04288a3a3406a8dd699c9b6f1f84779909cad8
SHA512: 6cf4772fb4933bc9a5c575b7ed62603fd98aab4187e38e25c15eef5cdbb51e9526cc69913dba8f5d55e12632b4535ede737d9db697707476cd48093a94f82d5b
Homepage: https://cran.r-project.org/package=hablar
Description: CRAN Package 'hablar' (Non-Astonishing Results in R)
 Simple tools for converting columns to new data types. Intuitive functions
 for columns with missing values.

Package: r-cran-habtools
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5029
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-terra, r-cran-rvcg, r-cran-sp, r-cran-geometry, r-cran-concaveman, r-cran-magrittr, r-cran-purrr, r-cran-ks, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgl, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-habtools_1.1.1-1.ca2004.1_all.deb
Size: 4543572
MD5sum: 4e8f4193c449b5f4de3f628bb8221160
SHA1: 20c3a282218565aa7aecbdbd272d180469df9bc5
SHA256: 598ebcc6ce33bdbab1649777fc92a326f09b9d33da8c0a90b5f88d8fdf551b02
SHA512: 542c5ee985b2e3c153c40fbcfebc920b21bab8372387a13307832278b7568e57f7e35ce69e5d9b3b4dce29433c512c44bbdfa6ffa0ed9c80f381b865ad4ddab4
Homepage: https://cran.r-project.org/package=habtools
Description: CRAN Package 'habtools' (Tools and Metrics for 3D Surfaces and Objects)
 A collection of functions for sampling and simulating 3D surfaces and
 objects and estimating metrics like rugosity, fractal dimension, convexity,
 sphericity, circularity, second moments of area and volume, and more.

Package: r-cran-hac
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula
Filename: pool/dists/focal/main/r-cran-hac_1.1-1-1.ca2004.1_all.deb
Size: 1043544
MD5sum: ca0fbb6f4278498ef87355f283ec701a
SHA1: 5f7afd453fb107e4a50f5f855d99eb86c0a05d8c
SHA256: 8310f19db7e66efb17b2a72f15616d446ceec82267aeb8acbc2757a6dc767080
SHA512: f09bb5a55487c920c75f02616eb6b0bff152645b19c358e1e2d52e227faa62f816516186af7e3371e9e02de3ccf0843d9eb74123e0018a96be33f8e4ecd3bec2
Homepage: https://cran.r-project.org/package=HAC
Description: CRAN Package 'HAC' (Estimation, Simulation and Visualization of HierarchicalArchimedean Copulae (HAC))
 Package provides the estimation of the structure and the parameters,
 sampling methods and structural plots of Hierarchical Archimedean Copulae
 (HAC).

Package: r-cran-hackernews
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 544
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2
Suggests: r-cran-covr, r-cran-testthat, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-hackernews_0.2.1-1.ca2004.1_all.deb
Size: 474880
MD5sum: 5fd75f0a286530c91603895859cc30a9
SHA1: 9ede321c999343a787f0b464be1dfd488d04ba89
SHA256: f7b79a90a7b8d0a0c7501d9b38a7d679c7d811e6de75175c4e51db448e534f9a
SHA512: 687f9a9a1c0a008ec05eaef41056e5de05c303e5ffbc32cdee407220d47630e0d9a217c88b2754e802e8786cabc7f831a296c5115ec9c526f47fd3e0b6e40dd6
Homepage: https://cran.r-project.org/package=hackeRnews
Description: CRAN Package 'hackeRnews' (Wrapper for the 'Official Hacker News' API)
 Use the Official Hacker News API through R. Retrieve posts, articles and
 other items in form of convenient R objects.

Package: r-cran-hacksaw
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-tibble, r-cran-zeallot, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-hacksaw_0.0.2-1.ca2004.1_all.deb
Size: 39892
MD5sum: 35cacb69899161474ef6d36893be0bf8
SHA1: 9b008b45a115694d06569fe7b3efb448c87c55cb
SHA256: 58268526edeb46b535fbd7d7c24e6dbab2be0d28401be2f3a567f21d248b7bc0
SHA512: 93730b503df85ed52eb1fd095e368f83d5594c237ecad96de4c95a328432dc5e48c7719984f0e45bfe7836912746eac98d506a7bfd498c20c6f09fb89d0be554
Homepage: https://cran.r-project.org/package=hacksaw
Description: CRAN Package 'hacksaw' (Additional Tools for Splitting and Cleaning Data)
 Move between data frames and lists more efficiently with precision splitting
 via 'dplyr' verbs. Easily cast variables to different data types. Keep rows
 with NAs. Shift row values.

Package: r-cran-hacksig
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-future.apply, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-future, r-cran-ggplot2, r-cran-knitr, r-cran-msigdbr, r-cran-purrr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hacksig_0.1.2-1.ca2004.1_all.deb
Size: 1071920
MD5sum: e181dcd59444b3c7b106187eb18b6a48
SHA1: b4ea3ba646912acec5b238b417ad5c5bb5a4938d
SHA256: 9898659954998d47d7892a2c093236ab1e6a9e1d1a8ae313c36571f1b9e0355f
SHA512: 916668ad0633e49ba117912bcb446af89ad918e368b800123a6ce32dec06299ebe4a7a938df95e213c2d5739e17fe28210052737cf0ffc45e0029ce25e94c57c
Homepage: https://cran.r-project.org/package=hacksig
Description: CRAN Package 'hacksig' (A Tidy Framework to Hack Gene Expression Signatures)
 A collection of cancer transcriptomics gene signatures as well as a simple
 and tidy interface to compute single sample enrichment scores either with
 the original procedure or with three alternatives: the "combined z-score" of
 Lee et al. (2008) <doi:10.1371/journal.pcbi.1000217>, the "single sample
 GSEA" of Barbie et al. (2009) <doi:10.1038/nature08460> and the "singscore"
 of Foroutan et al. (2018) <doi:10.1186/s12859-018-2435-4>.  The
 'get_sig_info()' function can be used to retrieve information about each
 signature implemented.

Package: r-cran-hadamardr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numbers, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-hadamardr_1.0.0-1.ca2004.1_all.deb
Size: 231784
MD5sum: f42ae3dd0caeb17c00231925b2b15232
SHA1: 5091a7d445e2b2cc30a7365a8949482c69d3b99a
SHA256: 5f39f279201e6bdf89afb3677c7c9385f93b0f4f3fe86ab44d99f209697888f6
SHA512: c00cd1275fd305c366b9045836b7da0fa87bb35c522f7d7514be6aa3b1c77fdbb5149de8720ba36c58ddd153e9cab1f03c04d5ee03d1c0cfc5933dffb3ee1676
Homepage: https://cran.r-project.org/package=HadamardR
Description: CRAN Package 'HadamardR' (Hadamard Matrix Generation)
 Generates Hadamard matrices using different construction methods. For those
 who want to generate Hadamard matrix, a generic function, Hadamard_matrix()
 is provided. For those who want to generate Hadamard matrix using a
 particular method, separate functions are available. See Horadam (2007,
 ISBN:9780691119212) Hadamard Matrices and their applications, Princeton
 University Press for more information on Hadamard Matrices.

Package: r-cran-hadex
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-gsubfn, r-cran-latex2exp, r-cran-reshape2, r-cran-readr, r-cran-readxl, r-cran-shiny, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-covr, r-cran-digest, r-cran-gridextra, r-cran-knitr, r-cran-pander, r-cran-renv, r-cran-rmarkdown, r-cran-shinycssloaders, r-cran-shinyhelper, r-cran-shinyjs, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-hadex_1.2.2-1.ca2004.1_all.deb
Size: 2049400
MD5sum: bfb7bff2d984d1ae7adb21624cd7d2d4
SHA1: 54287b4599a23c4c947a03b6ed3a64ff5dc8081c
SHA256: d1aa0027bda0c7768365db681b451e62c5aa1c1006d21d2bd58198e4038e43fc
SHA512: 19bdd79fd02538a12bbb590275d655fc0c9a44d6975dd67c8fb4ccc54881b564cc6d95b55c09620f06a451f3aa5a69b1289e896161da769c8ac9f2f4b9357c29
Homepage: https://cran.r-project.org/package=HaDeX
Description: CRAN Package 'HaDeX' (Analysis and Visualisation of Hydrogen/Deuterium Exchange MassSpectrometry Data)
 Functions for processing, analysis and visualization of Hydrogen Deuterium
 eXchange monitored by Mass Spectrometry experiments (HDX-MS)
 (10.1093/bioinformatics/btaa587). 'HaDeX' introduces a new standardized and
 reproducible workflow for the analysis of the HDX-MS data, including novel
 uncertainty intervals. Additionally, it covers data exploration, quality
 control and generation of publication-quality figures. All functionalities
 are also available in the in-built 'Shiny' app.

Package: r-cran-hadibds
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hadibds_1.0.1-1.ca2004.1_all.deb
Size: 18860
MD5sum: 8ecd3962c91513dddfeba854462785fe
SHA1: b6d8b71835e8b7707292e93c5c49c30510ac9904
SHA256: 02635b57a2c0ba60bc3d9777147b6a7835004c1eb4c17607f04f04620d05a1cf
SHA512: cb0943d835827866d4fe12e30ce53afad69227e2a76f04a4874c8b365261cbaa4766276a91c8484de17dd5aa5cc2e15674bff336f1d5d150ff150d92505f3322
Homepage: https://cran.r-project.org/package=HadIBDs
Description: CRAN Package 'HadIBDs' (Incomplete Block Designs using Hadamard Matrix (HadIBDs))
 Hadamard matrix based statistical designs are of immense importance as the
 resultant designs carry various desirable characterizing properties.
 Constructing Partially Balanced Incomplete Block Designs (PBIBds) using
 Kronecker product of incidence matrices of Balanced Incomplete Block (BIB)
 and Partially Balanced Incomplete Block (PBIB) designs is much evident from
 literature. Here, we have constructed Incomplete Block Designs (IBDs) based
 on Hadamard matrices and Kronecker product of Hadamard matrices.

Package: r-cran-hadoopstreaming
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-getopt
Filename: pool/dists/focal/main/r-cran-hadoopstreaming_0.2-1.ca2004.1_all.deb
Size: 44116
MD5sum: 3ab9b05f1f282ac4c48f50ad135ba804
SHA1: a06faa41156372bfa9148d8b5e869eb61cc1f959
SHA256: 0287fe2f5c5d4d9ae9a0dc7f7cf135492d2ad3f4b7aedf5ea79c7860702ad7da
SHA512: 46e36f154ffeaf539f893324650d6aaa9bc4af7849219cdac53997d9c61ed3e37c8dc94fe9ab07f86992018ed09572a0f0cf1ace14e6c421e4d54b9c400f0f43
Homepage: https://cran.r-project.org/package=HadoopStreaming
Description: CRAN Package 'HadoopStreaming' (Utilities for using R scripts in Hadoop streaming)
 Provides a framework for writing map/reduce scripts for use in Hadoop
 Streaming. Also facilitates operating on data in a streaming fashion,
 without Hadoop.

Package: r-cran-hagis
Architecture: all
Version: 3.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1644
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-pander
Suggests: r-cran-ape, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-testthat, r-cran-vdiffr, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-hagis_3.1.12-1.ca2004.1_all.deb
Size: 704944
MD5sum: 5fef6584e3bffb2eca44ed4932ebfed6
SHA1: e2b3b06b169d4003fb4fdb1c62f710a5cdcfcb04
SHA256: b1d8f1e590032a6cf55237075b0f19c49073833137cba027e6a555109e8019ce
SHA512: 8073fb8d8689286f06fe3514d3f62db635d3c98dad429093cae924499943c98932cfd7113136f223015c9b6652a42da10b4af97080a73d36a3dbdf6a9889cc44
Homepage: https://cran.r-project.org/package=hagis
Description: CRAN Package 'hagis' (Analysis of Plant Pathogen Pathotype Complexities, Distributionsand Diversity)
 Analysis of plant pathogen pathotype survey data.  Functions provided
 calculate distribution of susceptibilities, distribution of complexities
 with statistics, pathotype frequency distribution, as well as diversity
 indices for pathotypes.  This package is meant to be a direct replacement
 for Herrmann, Löwer and Schachtel's (1999)
 <doi:10.1046/j.1365-3059.1999.00325.x> Habgood-Gilmour Spreadsheet, 'HaGiS',
 previously used for pathotype analysis.

Package: r-cran-hakaiapi
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr2, r-cran-r6, r-cran-readr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hakaiapi_1.0.3-1.ca2004.1_all.deb
Size: 64208
MD5sum: e70863ef50b22baaac327da0e68f9070
SHA1: d65cfa01a2ae52101d75194e4aaaa7e7d70d02ee
SHA256: 69fc9b4af21b0229c8b153b7debbf9f38455e38dfe4cdcd552fd8d7d7bd52acd
SHA512: e0fb28d5025483c96b37be86aec255cb56afb5aa4fb559c1ed508b4a8ff6968c8241b348bf7ba5e204b8b1062c57f7280cc31ed5d97251ea4badfe5269b725a2
Homepage: https://cran.r-project.org/package=hakaiApi
Description: CRAN Package 'hakaiApi' (Authenticated HTTP Request Client for the 'Hakai' API)
 Initializes a class that obtains API credentials and provides a method to
 use those credentials to make GET requests to the 'Hakai' API server. Usage
 instructions are documented at
 <https://hakaiinstitute.github.io/hakai-api/>.

Package: r-cran-haldensify
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-ggplot2, r-cran-data.table, r-cran-matrixstats, r-cran-future.apply, r-cran-assertthat, r-cran-hal9001, r-cran-origami, r-cran-rsample, r-cran-rlang, r-cran-scales, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-covr, r-cran-future
Filename: pool/dists/focal/main/r-cran-haldensify_0.2.3-1.ca2004.1_all.deb
Size: 156604
MD5sum: a5243df8c9b97fd7948202d596d651d2
SHA1: 39d35dab0b0a49f6afd6ae289106d9229a84620d
SHA256: 1a4dc520a4c110d625b182f32f87b8f992ca5da7eae3143bd2bf066b8585f655
SHA512: 4be7931b5c3c7f986213310e34f7f278102c10c941bcb39ebbb4da065c43a5be3355383e42af2f3694c5072e34d5a1b8e499394412aef2e2599885709fddaf9b
Homepage: https://cran.r-project.org/package=haldensify
Description: CRAN Package 'haldensify' (Highly Adaptive Lasso Conditional Density Estimation)
 An algorithm for flexible conditional density estimation based on
 application of pooled hazard regression to an artificial repeated measures
 dataset constructed by discretizing the support of the outcome variable. To
 facilitate non/semi-parametric estimation of the conditional density, the
 highly adaptive lasso, a nonparametric regression function shown to reliably
 estimate a large class of functions at a fast convergence rate, is utilized.
 The pooled hazards data augmentation formulation implemented was first
 described by Díaz and van der Laan (2011) <doi:10.2202/1557-4679.1356>. To
 complement the conditional density estimation utilities, tools for efficient
 nonparametric inverse probability weighted (IPW) estimation of the causal
 effects of stochastic shift interventions (modified treatment policies),
 directly utilizing the density estimation technique for construction of the
 generalized propensity score, are provided. These IPW estimators utilize
 undersmoothing (sieve estimation) of the conditional density estimators in
 order to achieve the non/semi-parametric efficiency bound.

Package: r-cran-halfcircle
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-halfcircle_0.1.0-1.ca2004.1_all.deb
Size: 247856
MD5sum: 8f2147bbef4acaa5651e6377f603d771
SHA1: b3dc827686b506fd7939a3f17505ff783a43088d
SHA256: d2f6ad5117f600dc814f2f7b930f1a709be441602382b0de5e80fb8e6468f7af
SHA512: dc24908cee5f8ff5efe5f33bc171bad2b8090c10a1a5a6224fe34f6f9acd2ef1bcfb98d04b4b7eb6645f6c9ccd9fb03d16cbb6c23a01c75bd09fdc0ad5248a35
Homepage: https://cran.r-project.org/package=halfcircle
Description: CRAN Package 'halfcircle' (Plot Halfcircle Diagram)
 There are growing concerns on flow data in diverse fields including trade,
 migration, knowledge diffusion, disease spread, and transportation. The
 package is an effective visual support to learn the pattern of flow which is
 called halfcircle diagram. The flow between two nodes placed on the center
 line of a circle is represented using a half circle drawn from the origin to
 the destination in a clockwise direction. Through changing the order of
 nodes, the halfcircle diagram enables users to examine the complex
 relationship between bidirectional flow and each potential determinants.
 Furthermore, the halfmeancenter function, which calculates (un) weighted
 mean center of half circles, makes the comparison easier.

Package: r-cran-halfmoon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-tidyselect, r-cran-tidysmd
Suggests: r-cran-covr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-halfmoon_0.1.0-1.ca2004.1_all.deb
Size: 414904
MD5sum: 343c5a794f68185ae2fe6384468083e0
SHA1: 062d50283ae6ae4742257da60c247a98ef78c2f5
SHA256: db007fe56f81071d877a7759a6b2720dd539dc3fcf540eadb34869c9e532526e
SHA512: ec5a31f0f4b68960ace0dc995fafa00a66797a91fd5cc3d2760115609bba924106daba9d8168c8107487df46cb3febedf31f7397f10e1c5ffd4452d3e9f41379
Homepage: https://cran.r-project.org/package=halfmoon
Description: CRAN Package 'halfmoon' (Techniques to Build Better Balance)
 Build better balance in causal inference models. 'halfmoon' helps you assess
 propensity score models for balance between groups using metrics like
 standardized mean differences and visualization techniques like mirrored
 histograms. 'halfmoon' supports both weighting and matching techniques.

Package: r-cran-halk
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-tidyselect, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-halk_0.0.5-1.ca2004.1_all.deb
Size: 210904
MD5sum: cba2339be7fb239cac4baba49d584d81
SHA1: e944417e648c48ac41e923125a70942237e1a833
SHA256: 9f8af9c202a40054a4709c7c92293af5d8ed8ed682df8ceedb7831866b198943
SHA512: 1692000b75b00c28069970ccb5168b6a671e94e4c18af5a50fa8658408c1ef3b287b19df20cf4f127ffdb3db4a7c02aafa1295cb1e89ef8a8a2efc805e4a8cb5
Homepage: https://cran.r-project.org/package=halk
Description: CRAN Package 'halk' (Methods to Create Hierarchical Age Length Keys for AgeAssignment)
 Provides methods for implementing hierarchical age length keys to estimate
 fish ages from lengths using data borrowing. Users can create hierarchical
 age length keys and use them to assign ages given length.

Package: r-cran-hamlet
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lme4, r-cran-nlme, r-cran-amap, r-cran-nbpmatching, r-cran-lattice, r-cran-lmertest, r-cran-xtable, r-cran-cairo, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-hamlet_0.9.6-1.ca2004.1_all.deb
Size: 537392
MD5sum: 6dd21c38f255346b445556164c693a81
SHA1: 8c8a9a3a51ec65e977ebccbba92c6584508d3a10
SHA256: 271bd187942971f2be1611515b488523b4c678ebf657226699b1161ce331e401
SHA512: 8d562d3b9689d25103a9f7775bbaeedd9095cf792ba7ff8baccc2cccb07f7e90e60b711e4749d833cbef546c77a66870e479bfda833f2169fa4b543782e9b1f5
Homepage: https://cran.r-project.org/package=hamlet
Description: CRAN Package 'hamlet' (Hierarchical Optimal Matching and Machine Learning Toolbox)
 Various functions and algorithms are provided here for solving optimal
 matching tasks in the context of preclinical cancer studies. Further,
 various helper and plotting functions are provided for unsupervised and
 supervised machine learning as well as longitudinal mixed-effects modeling
 of tumor growth response patterns.

Package: r-cran-handcoder
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinywidgets
Suggests: r-cran-testthat, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-handcoder_0.1.2-1.ca2004.1_all.deb
Size: 238620
MD5sum: d6b2f1e2f52a3b89483e40049dd094ac
SHA1: 28aba482af9d6ab40a3d508bfa328090371c626b
SHA256: 989e27230c773a3069a2d96bb97e8c3551e438b89225459d288f3130213f55c8
SHA512: 9bb638a6a22b293050eb5af04836398d80ea07e90577dac2d03fdf686073cb20b2870582602ff87981f64f3b361092d36ed4199102a45a9547adcd59da5f5210
Homepage: https://cran.r-project.org/package=handcodeR
Description: CRAN Package 'handcodeR' (Text Annotation App)
 Shiny-App that allows to annotate vectors of texts to predefined categories
 by hand.

Package: r-cran-handlr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-crul, r-cran-xml2, r-cran-urltools, r-cran-mime, r-cran-yaml
Suggests: r-cran-testthat, r-cran-jsonld, r-cran-data.table, r-cran-bibtex
Filename: pool/dists/focal/main/r-cran-handlr_0.3.1-1.ca2004.1_all.deb
Size: 195840
MD5sum: b4d91d79f3118046d04a4be34e838e31
SHA1: 47cd0bcbb49fea7a09abced5adcf28c15ded8f7a
SHA256: 18ca2125b62fc20042acdcde04e79741cbcdbc491fd7dc359c9941adc8f3808f
SHA512: 7384d9ac888f146d9cca4f071aac7b5017a243d5d42715b6fdffc0cc098b649e99f01cc4e9d4e274e5dc80127c8f8439cd769160ecdea93301f455216cff0d20
Homepage: https://cran.r-project.org/package=handlr
Description: CRAN Package 'handlr' (Convert Among Citation Formats)
 Converts among many citation formats, including 'BibTeX', 'Citeproc',
 'Codemeta', 'RDF XML', 'RIS', 'Schema.org', and 'Citation File Format'. A
 low level 'R6' class is provided, as well as stand-alone functions for each
 citation format for both read and write.

Package: r-cran-handtill2001
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-catools, r-cran-devtools, r-cran-knitr, r-cran-mass, r-cran-mda, r-cran-nnet, r-cran-pkgload, r-cran-rmarkdown, r-cran-rocr, r-cran-rpart, r-cran-rprojroot, r-cran-runit, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-handtill2001_1.0.2-1.ca2004.1_all.deb
Size: 106180
MD5sum: 91375d3b1f76f49ac666fed943005ad2
SHA1: 0c9e03f64c1ba520d58dc756d3d1eef921963f91
SHA256: e9bd57ea53376b18af887739282538a76e656fb4a9be71c0c16015d9b96678d9
SHA512: 70f09ac2ead60c9c6d8bce96ca33f320b574cb51b266c624dcb434018f62ed77699ebaf084ed576036139b56d8dc289fc28bad84dc49f5bf8c67611548b859d6
Homepage: https://cran.r-project.org/package=HandTill2001
Description: CRAN Package 'HandTill2001' (Multiple Class Area under ROC Curve)
 An S4 implementation of Eq. (3) and Eq. (7) by David J. Hand and Robert J.
 Till (2001) <DOI:10.1023/A:1010920819831>.

Package: r-cran-handwriterapp
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1785
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-dplyr, r-cran-ggplot2, r-cran-handwriter, r-cran-handwriterrf, r-cran-magick, r-cran-magrittr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyfiles, r-cran-shinyjs, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-handwriterapp_2.0.0-1.ca2004.1_all.deb
Size: 1574972
MD5sum: 888ac693833574344fd67947d66cf960
SHA1: 6c2c874cd95d1f45b5057d1c6cacc6b7e150418c
SHA256: 49702e6b10f4653330177172729c3374b0fd4c3fc16f8e19b2d6f2aa69f031bb
SHA512: a43d81b85dbc8d52e6be97b295134c47629df60f5f96dfab70c7520d16831982c342aca0b701ab973ceb80281221a6be143eb69ce1b21a41a9c01854c768b842
Homepage: https://cran.r-project.org/package=handwriterApp
Description: CRAN Package 'handwriterApp' (A 'shiny' Application for Handwriting Analysis)
 Perform statistical writership analysis of scanned handwritten documents
 with a 'shiny' app for 'handwriter'.

Package: r-cran-handwriterrf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-handwriter, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-ranger, r-cran-reshape2, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-handwriterrf_1.1.1-1.ca2004.1_all.deb
Size: 1832776
MD5sum: aac63a27093a8ff0d6d1b94d86937a5c
SHA1: 4209393511bbe8c3740010ec28b406a9f7c1160e
SHA256: 19f59593f3984fd620bf3b37525ded3ccb26049eb375bb360251ebce05ff37cd
SHA512: 0908d63c7bb24e37218a922748f46f355c84ae358944e592039519b48fdd1208da465ea55fe801027c6377e57eacd653a7bc4963da42c4b4bbbc6d01ab308e4d
Homepage: https://cran.r-project.org/package=handwriterRF
Description: CRAN Package 'handwriterRF' (Handwriting Analysis with Random Forests)
 Perform forensic handwriting analysis of two scanned handwritten documents.
 This package implements the statistical method described by Madeline Johnson
 and Danica Ommen (2021) <doi:10.1002/sam.11566>. Similarity measures and a
 random forest produce a score-based likelihood ratio that quantifies the
 strength of the evidence in favor of the documents being written by the same
 writer or different writers.

Package: r-cran-handyfunctions
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-stringr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-handyfunctions_0.1.0-1.ca2004.1_all.deb
Size: 104268
MD5sum: 1aafbf66017123dd1c91006fec4e9f6e
SHA1: dcced9e65ff66d255a58e8dbe0009e1d7580eb5b
SHA256: 68e955ec3fb1d9de1eaf76617c1f9b46c6ad49442ac2226db7d3a2e620f215e7
SHA512: 5d5817ad65fdce7bd273b1c26c78c7ed33deb4a6a1535bbaf16163e2349fdfa9c986f91709b603d33539759ee953b772aadd2b90a6852cc3a99964497cd29534
Homepage: https://cran.r-project.org/package=handyFunctions
Description: CRAN Package 'handyFunctions' (Useful Functions for Handfully Manipulating and Analyzing Datawith Data.frame Format)
 Some useful functions for simply manipulating and analyzing data with
 data.frame format.  It mainly includes the following sections:
 ReformatDataframe (reformat dataframe with the modifiers),
 InteractDataframe, and Post-VCF (for downstream analysis for data generated
 from 'vcftools' Petr et al (2011) <doi:10.1093/bioinformatics/btr330> or
 'plink' Chang et al (2015) <doi:10.1186/s13742-015-0047-8>.

Package: r-cran-handyplots
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-handyplots_1.1.3-1.ca2004.1_all.deb
Size: 44728
MD5sum: 0866f65bb0be344617498d175a0cbb82
SHA1: c29cc12e873285103496cb23b271bbf439cfaadf
SHA256: 45476190390115002c3e9528cb48c1b3bcd6d660853e81ba3e952160e89d099c
SHA512: 861b354c40da8685ebc6c6f1a74d4aede0ada9c486bff1f88c0d6a89cf0aaf41503ec826431e7f4491a2600f68147c70904aa6fde8770e8ff887a8c44febdb99
Homepage: https://cran.r-project.org/package=handyplots
Description: CRAN Package 'handyplots' (Handy Plots)
 Several handy plots for quickly looking at the relationship between two
 numeric vectors of equal length. Quickly visualize scatter plots, residual
 plots, qq-plots, box plots, confidence intervals, and prediction intervals.

Package: r-cran-hansard
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-dplyr, r-cran-tibble, r-cran-lubridate, r-cran-tidyr, r-cran-snakecase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-hansard_0.8.0-1.ca2004.1_all.deb
Size: 375208
MD5sum: 10681fdcf12fe42e9c8627a912237d4f
SHA1: 9d4274139904111e6f2d53da4d7fabb5658e5590
SHA256: bb87f61c08a2c17f2d97d8bcd2e989ee5d555f12197a919b7d22dd8afb36619e
SHA512: 313109bc30303264c6dab6384b71ceee9ee24dcb96abb0fc509407ce0c5d878d1b58ec7015e49b8ce1a11da1967d35da7fb7bc4290dcb10b68a03aa73dd85086
Homepage: https://cran.r-project.org/package=hansard
Description: CRAN Package 'hansard' (Provides Easy Downloading Capabilities for the UK Parliament API)
 Provides functions to download data from the
 <http://www.data.parliament.uk/> APIs. Because of the structure of the API,
 there is a named function for each type of available data for ease of use,
 as well as some functions designed to retrieve specific pieces of commonly
 used data. Functions for each new API will be added as and when they become
 available.

Package: r-cran-hanstat
Architecture: all
Version: 0.90.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-car, r-cran-crayon, r-cran-ggplot2, r-cran-lmtest, r-cran-olsrr, r-cran-ggpubr, r-cran-devtools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hanstat_0.90.0-1.ca2004.1_all.deb
Size: 31712
MD5sum: 57b3396a1dea12dfa41a41391ea9845a
SHA1: 72788c7cc2581a1bb618e20f1b1f40c2c9fabb02
SHA256: 4daca17241ee8dcf62bd6626ee439b842a01153b65829d96a53f512b869d4168
SHA512: 04c2a2807647bc1c97ee6074fcfba2c8da0e1654b37d6a745df48c242defb85f95a1f6a2f29a8c13c7c89796b1f9b269c6ef30ae832a456cbd9eb585138acebc
Homepage: https://cran.r-project.org/package=HanStat
Description: CRAN Package 'HanStat' (Package for Easy Interpretation of Statistical Methods)
 A simple and time saving multiple linear regression function (OLS) with
 interpretation, optional bootstrapping, effect size calculation and all
 tested requirements.

Package: r-cran-hapi
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 918
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmm, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hapi_0.0.3-1.ca2004.1_all.deb
Size: 724952
MD5sum: c89f556f59dec5015c3db692f586da6a
SHA1: f9df1197b7b6c791be607b2946bfb0814e4c4309
SHA256: a55b27254022cbb5a65201ad81b9ddf2982862d798fed367c8b8ab85b5be02e0
SHA512: e81b30a74d9d39ec64a01040a54b546d5edacf1130d8d9af6ca0895d0056ac692817955b6751455a52d8ca66c0fff10997deb78c182e3d153ec3eafe3c7f4036
Homepage: https://cran.r-project.org/package=Hapi
Description: CRAN Package 'Hapi' (Inference of Chromosome-Length Haplotypes Using Genomic Data ofSingle Gamete Cells)
 Inference of chromosome-length haplotypes using a few haploid gametes of an
 individual. The gamete genotype data may be generated from various platforms
 including genotyping arrays and sequencing even with low-coverage. Hapi
 simply takes genotype data of known hetSNPs in single gamete cells as input
 and report the high-resolution haplotypes as well as confidence of each
 phased hetSNPs. The package also includes a module allowing downstream
 analyses and visualization of identified crossovers in the gametes.

Package: r-cran-hapim
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hapim_1.3-1.ca2004.1_all.deb
Size: 148668
MD5sum: f9c37db30f4fd2de952e405f4c401694
SHA1: b4e4f3f36ffd5e63a5987bdeca153c3ffa951804
SHA256: 47e3d08304141f034c5fc045107eaffadb811c971632fabb1351364a43dd3ba4
SHA512: d1e80b4bfdc843010b1f5a3e9805c6b9bbc7a77089f8ffaae8073ea2f7215a68f65e3d4b9edfe1fc97415057753753b619635b9147eb377c464853a1b0c01883
Homepage: https://cran.r-project.org/package=HAPim
Description: CRAN Package 'HAPim' (HapIM)
 The package provides a set of functions whose aim is to propose 4 methods of
 QTL detection. HAPimLD is an interval-mapping method designed for unrelated
 individuals with no family information that makes use of linkage
 disequilibrium.  HAPimLDL is an interval-mapping method for design of
 half-sib families. It combines linkage analysis and linkage disequilibrium.
 HaploMax is based on an analysis of variance with a dose haplotype effect.
 HaploMaxHS is based on an analysis of variance with a sire effect and a dose
 haplotype effect in half-sib family design.  Fundings for the package
 development were provided to the LDLmapQTL project by the ANR GENANIMAL
 program and APIS-GENE.

Package: r-cran-haplo.ccs
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haplo.stats, r-cran-survival
Filename: pool/dists/focal/main/r-cran-haplo.ccs_1.3.3-1.ca2004.1_all.deb
Size: 67740
MD5sum: 3712a00fe108dd8b864793ba75ceb0ef
SHA1: b46f4b6a715163dda7ce7d988b945f214f3c5b8b
SHA256: b86414652032ef92658f552d17f2eb205ba8b8bde2c477747d598839d794936e
SHA512: eb62ec0aee21e83c4e48783973d8f409b78fd6744cc3cd01e16ad2cea609871fdf606935119e33cfb11c2b1c5935577ff7282f2c946a27bf81bc5563cd135011
Homepage: https://cran.r-project.org/package=haplo.ccs
Description: CRAN Package 'haplo.ccs' (Estimate Haplotype Relative Risks in Case-Control Data)
 Haplotype and covariate relative risks in case-control data are estimated by
 weighted logistic regression. Diplotype probabilities, which are estimated
 by EM computation with progressive insertion of loci, are utilized as
 weights. French et al. (2006) <doi:10.1002/gepi.20161>.

Package: r-cran-haplocatcher
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1069
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-caret, r-cran-ggplot2, r-cran-knitr, r-cran-patchwork, r-cran-lattice, r-cran-randomforest
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-haplocatcher_1.0.4-1.ca2004.1_all.deb
Size: 844476
MD5sum: 5f55646cba4c422d5359dc1290fd2a8b
SHA1: bbb275b131a02371d75c6e154d844cfa438253f0
SHA256: 62cd3e33c980f89ba8cbf7fdc1c9ecdbf76459cb63154fceca877b4698630d47
SHA512: c16844da3db11ce682735a2139fdccee09a392cb26391024413dd2d619c6ad20e6d13210a4d6c483c6c862daacb0256fff97b808867d79b7e73e2d4edd544ee3
Homepage: https://cran.r-project.org/package=HaploCatcher
Description: CRAN Package 'HaploCatcher' (A Predictive Haplotyping Package)
 Used for predicting a genotype’s allelic state at a specific locus/QTL/gene.
 This is accomplished by using both a genotype matrix and a separate file
 which has categorizations about loci/QTL/genes of interest for the
 individuals in the genotypic matrix. A training population can be created
 from a panel of individuals who have been previously screened for specific
 loci/QTL/genes, and this previous screening could be summarized into a
 category. Using the categorization of individuals which have been genotyped
 using a genome wide marker platform, a model can be trained to predict what
 category (haplotype) an individual belongs in based on their genetic
 sequence in the region associated with the locus/QTL/gene. These trained
 models can then be used to predict the haplotype of a locus/QTL/gene for
 individuals which have been genotyped with a genome wide platform yet not
 genotyped for the specific locus/QTL/gene. This package is based off work
 done by Winn et al 2021. For more specific information on this method, refer
 to <doi:10.1007/s00122-022-04178-w>.

Package: r-cran-haplor
Architecture: all
Version: 4.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-xml, r-cran-tibble, r-cran-runit, r-cran-plyr, r-cran-dt, r-cran-rcurl, r-cran-rjsonio
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-haplor_4.0.7-1.ca2004.1_all.deb
Size: 288880
MD5sum: cd361602834c9d25537bcc42905231dd
SHA1: 4b53d54c5375a2b89c4d744caabf100efaadcc06
SHA256: 3c1f64f1b9f8655acbf6c3e7f81a9ec8d5ae73445bea04f2c67e3dd5621105ed
SHA512: 22be2de911e509fd5b65c50c998587dae1d3cc580f4eee80e1af7c235a36d4f4ef523abe8eb5a14ec6483bba0dba2cda982927d60eca7ee792e35d84077ce85a
Homepage: https://cran.r-project.org/package=haploR
Description: CRAN Package 'haploR' (Query 'HaploReg', 'RegulomeDB')
 A set of utilities for querying 'HaploReg'
 <https://pubs.broadinstitute.org/mammals/haploreg/haploreg.php>,
 'RegulomeDB' <https://www.regulomedb.org/regulome-search/> web-based tools.
 The package connects to 'HaploReg', 'RegulomeDB' searches and downloads
 results, without opening web pages, directly from R environment.  Results
 are stored in a data frame that can be directly used in various kinds of
 downstream analyses.

Package: r-cran-haplosim
Architecture: all
Version: 1.8.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-pedigree
Filename: pool/dists/focal/main/r-cran-haplosim_1.8.4.2-1.ca2004.1_all.deb
Size: 196368
MD5sum: 85204360e92b67358d9cb347d82acaab
SHA1: 31f097cda4040bff52f5a47555f3221cb24a092c
SHA256: 36fdc612600a198fe4a57c51be2ff43eae9c4bbe93488bf5eff8bdf160661327
SHA512: c7b8cd5df5726d5acc310866fadcf050cdf8daaeac3c89da16fbc6930ba4b75aff1d7317ca83b78f97ebe60d888fd878f67f4375dbf64c38893f5cab542371b5
Homepage: https://cran.r-project.org/package=HaploSim
Description: CRAN Package 'HaploSim' (Functions to Simulate Haplotypes)
 Simulate haplotypes through meioses. Allows specification of population
 parameters.

Package: r-cran-haplotyper
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-haplotyper_0.1-1.ca2004.1_all.deb
Size: 45236
MD5sum: 367b9c7737ab9631b9c9ad4143f6ef21
SHA1: 07e44b12a844d9204d4abf8f9d6845a25547dc03
SHA256: 5a4042efee5ebdbbc55a4ee5b5821639e0ea59738df38a7b1ee6f138346284d4
SHA512: 56f413180b802be409e4b229666db0790c19239be384883cc95ceb3f829a66516a7c51873c7819b3fb26101b977cceb24831a4781fe8b0622c0ff92ad660943c
Homepage: https://cran.r-project.org/package=haplotyper
Description: CRAN Package 'haplotyper' (Tool for Clustering Genotypes in Haplotypes)
 Function to identify haplotypes within QTL (Quantitative Trait Loci). One
 haplotype is a combination of SNP (Single Nucleotide Polymorphisms) within
 the QTL. This function groups together all individuals of a population with
 the same haplotype.  Each group contains individual with the same allele in
 each SNP, whether or not missing data. Thus, haplotyper groups individuals,
 that to be imputed, have a non-zero probability of having the same alleles
 in the entire sequence of SNP's. Moreover, haplotyper calculates such
 probability from relative frequencies.

Package: r-cran-haplotypes
Architecture: all
Version: 1.1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 873
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-network, r-cran-sna, r-cran-ape, r-cran-phangorn, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-haplotypes_1.1.3.1-1.ca2004.1_all.deb
Size: 553156
MD5sum: 188bcc30f74d552d09b069c20f5ac0b7
SHA1: 92ed9c5af1722fa3ee9ecdd2bc66e860e7942b0b
SHA256: 6f1d4aff94946cc1a3dc4eaa62d269999dc782604b65e1ca6ba1ed4f80efaa25
SHA512: 510d6b107f2beaff6b49d0effd59838f24b937e5ccfeeea627edf1116e2d28974e1048dfcdb46e24b44516d17a488ebd823990b986e658a9b6b2603186b5abde
Homepage: https://cran.r-project.org/package=haplotypes
Description: CRAN Package 'haplotypes' (Manipulating DNA Sequences and Estimating Unambiguous HaplotypeNetwork with Statistical Parsimony)
 Provides S4 classes and methods for reading and manipulating aligned DNA
 sequences, supporting an indel coding methods (only simple indel coding
 method is available in the current version), showing base substitutions and
 indels, calculating absolute pairwise distances between DNA sequences, and
 collapses identical DNA sequences into haplotypes or inferring haplotypes
 using user provided absolute pairwise character difference matrix.  This
 package also includes S4 classes and methods for estimating genealogical
 relationships among haplotypes using statistical parsimony and plotting
 parsimony networks.

Package: r-cran-happign
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1022
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-dplyr, r-cran-jsonlite, r-cran-httr2, r-cran-sf, r-cran-terra, r-cran-xml2, r-cran-yyjsonr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-happign_0.3.3-1.ca2004.1_all.deb
Size: 802376
MD5sum: 0b8f7b448aa936d5f6e55856a04de337
SHA1: 20a2edca5d8061334ba1e09d72dcd9934df5cb61
SHA256: 49c88481ec49a6f73ddca864bd26cfb2c1e7e3d794c237d5b6bf07725d123fc7
SHA512: 8a8359f6ba3b2a0bd9fd3db0127b9826aebcd7240783102aa3206597270ff5e36551a03216ff121ec15515aa587a8849843b12d04c292209aa7a8961b7e61fa3
Homepage: https://cran.r-project.org/package=happign
Description: CRAN Package 'happign' (R Interface to 'IGN' Web Services)
 Automatic open data acquisition from resources of IGN ('Institut National de
 Information Geographique et forestiere') (<https://www.ign.fr/>). Available
 datasets include various types of raster and vector data, such as digital
 elevation models, state borders, spatial databases, cadastral parcels, and
 more. There also access to point clouds data ('LIDAR') and specifics API
 (<https://apicarto.ign.fr/api/doc/>).

Package: r-cran-happytime
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-happytime_0.1.0-1.ca2004.1_all.deb
Size: 28040
MD5sum: e8914c3d05ec51b50d4c807387e06382
SHA1: 13365267fca21b1e16e72fcb23cbcba1aa839b53
SHA256: 0fc0455a31f211d57d85255f9cd6c521378d69a9ce7448012e6f33c3a5337531
SHA512: 0d3df55c3a59cec01549f30c9fc128eb4188f782a991221ccb362dd3ac468a72309ef8f278924f0b4435da36d4ed8ee86207779e0a68a7b1349365d4da96611e
Homepage: https://cran.r-project.org/package=happytime
Description: CRAN Package 'happytime' (Two Games to Relieve the Boredom)
 There are two interesting games in this package, one is 2048 games(for
 windows), using up and down to control the direction until there is a 2048
 figure. And the other is 'what to eat today',preparing for people who choose
 difficulties, including most of the delicious Cantonese cuisine.

Package: r-cran-harbinger
Architecture: all
Version: 1.2.727-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tspredit, r-cran-changepoint, r-cran-daltoolbox, r-cran-forecast, r-cran-ggplot2, r-cran-hht, r-cran-rcpphungarian, r-cran-dplyr, r-cran-dtwclust, r-cran-rugarch, r-cran-stringr, r-cran-strucchange, r-cran-tsmp, r-cran-wavelets, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-harbinger_1.2.727-1.ca2004.1_all.deb
Size: 388104
MD5sum: 804753ccba0985288fe58cbcddb9786e
SHA1: d89c53af0cc1156fd0d8d93bd76ab0597e0b1957
SHA256: 938eafaf3ea361ed5be52c51ef54033bac722b749cb41e6f1f6f353cca6d037f
SHA512: a97affa3defb2faf9a44b3971f8127b4f4d1738ad3e7c7c99702ac8d98a05226a8724ef181296887f7f80943307ba84d674ffb69d7fe2c9ba73a86557548b400
Homepage: https://cran.r-project.org/package=harbinger
Description: CRAN Package 'harbinger' (A Unified Time Series Event Detection Framework)
 By analyzing time series, it is possible to observe significant changes in
 the behavior of observations that frequently characterize events. Events
 present themselves as anomalies, change points, or motifs. In the
 literature, there are several methods for detecting events. However,
 searching for a suitable time series method is a complex task, especially
 considering that the nature of events is often unknown. This work presents
 Harbinger, a framework for integrating and analyzing event detection
 methods. Harbinger contains several state-of-the-art methods described in
 Salles et al. (2020) <doi:10.5753/sbbd.2020.13626>.

Package: r-cran-hardhat
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-sparsevctrs, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-covr, r-cran-crayon, r-cran-devtools, r-cran-knitr, r-cran-matrix, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-hardhat_1.4.1-1.ca2004.1_all.deb
Size: 823744
MD5sum: 50dc884dee58c9ff09af657f1fe5fa30
SHA1: 341eeeb3c3dbb7225bafccb23ce134be868e95b1
SHA256: de061e66215a37d1c7d7e0a4b2b7a16f2bebf31c5523c5c6435d4b036560bad3
SHA512: 40018a11d41160d3c90aea4575ef1ea030e23e9450bc4aeb197ddcb3a8746cb793b703ba466f67a2a024c6ed6f308c9a25520cc83f1eaa3b9ae826fa98c02a33
Homepage: https://cran.r-project.org/package=hardhat
Description: CRAN Package 'hardhat' (Construct Modeling Packages)
 Building modeling packages is hard. A large amount of effort generally goes
 into providing an implementation for a new method that is efficient, fast,
 and correct, but often less emphasis is put on the user interface. A good
 interface requires specialized knowledge about S3 methods and formulas,
 which the average package developer might not have. The goal of 'hardhat' is
 to reduce the burden around building new modeling packages by providing
 functionality for preprocessing, predicting, and validating input.

Package: r-cran-harmonicmeanp
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1437
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fmstable
Suggests: r-cran-knitr, r-cran-ape, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-harmonicmeanp_3.0.1-1.ca2004.1_all.deb
Size: 513428
MD5sum: 4d996799a9a990f0bac18f340ab05df3
SHA1: 6dabcf34f78fabe589cf1c5f37bf65950714f652
SHA256: 47fa5b97e20346ccd15b31ff60a95f7051c5675545f24544307d76432513d0b5
SHA512: 8a20152035879859d3c3594599c631b61b92d62c319a860e3d978edc3267517d15c00b4c7cec1bad9903d9770f6b69766ec9f524269bccbbfcbea0abe9da9b46
Homepage: https://cran.r-project.org/package=harmonicmeanp
Description: CRAN Package 'harmonicmeanp' (Harmonic Mean p-Values and Model Averaging by Mean MaximumLikelihood)
 The harmonic mean p-value (HMP) test combines p-values and corrects for
 multiple testing while controlling the strong-sense family-wise error rate.
 It is more powerful than common alternatives including Bonferroni and Simes
 procedures when combining large proportions of all the p-values, at the cost
 of slightly lower power when combining small proportions of all the
 p-values. It is more stringent than controlling the false discovery rate,
 and possesses theoretical robustness to positive correlations between tests
 and unequal weights. It is a multi-level test in the sense that a superset
 of one or more significant tests is certain to be significant and conversely
 when the superset is non-significant, the constituent tests are certain to
 be non-significant. It is based on MAMML (model averaging by mean maximum
 likelihood), a frequentist analogue to Bayesian model averaging, and is
 theoretically grounded in generalized central limit theorem. For detailed
 examples type vignette("harmonicmeanp") after installation. Version 3.0
 addresses errors in versions 1.0 and 2.0 that led function p.hmp to control
 the familywise error rate only in the weak sense, rather than the strong
 sense as intended.

Package: r-cran-harmonicregression
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-harmonicregression_1.0-1.ca2004.1_all.deb
Size: 333836
MD5sum: fd66be315192216ebae307f1701bae6d
SHA1: 878d031ed1cdf4ea3fcd49d9dcc579ea90cffd23
SHA256: 0197f5789279b0f60e4c03a00358c667bc425bbda00af2379613ed799d3c3d4a
SHA512: b29dedff3a4153b1849dbd4920328d3e9eb83f2621bf1c4a4445089d6104ac00846c088fa48f25bd5603218c99575bbd6bf57580fc82f089ef9d03ece94c1bfb
Homepage: https://cran.r-project.org/package=HarmonicRegression
Description: CRAN Package 'HarmonicRegression' (Harmonic Regression to One or more Time Series)
 Fits the first harmonics in a Fourier expansion to one or more time series.
 Trend elimination can be performed.  Computed values include estimates of
 amplitudes and phases, as well as confidence intervals and p-values for the
 null hypothesis of Gaussian noise.

Package: r-cran-harmonizer
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3328
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-harmonizer_0.3.2-1.ca2004.1_all.deb
Size: 1640820
MD5sum: e9721bc5cb6edfa167fb82a872f71e30
SHA1: d85ed5f3a3de05d67d42a3ec5b65c60b18c835ed
SHA256: 1eb9da535ff0cab080543e16e760ce080848e93ff11a5b5324729d52c45259c6
SHA512: 8f69bcbc392868cd249d0e5ed243310edbf6c74c90c669a37704fa650fac348a074f2ad4783254d8665642b30009044187184f8149440cf965ce678db8c1e614
Homepage: https://cran.r-project.org/package=harmonizer
Description: CRAN Package 'harmonizer' (Harmonizing CN8 and PC8 Product Codes)
 Several functions are provided to harmonize CN8 (Combined Nomenclature 8
 digits) and PC8 (Production Communautaire 8 digits) product codes over time
 and the classification systems HS6 and BEC. Harmonization of CN8 codes are
 possible by default from 1995 to 2022 and of PC8 from 2001 to 2021,
 respectively.

Package: r-cran-harmonydata
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-uuid, r-cran-base64enc, r-cran-jsonlite, r-cran-assertthat, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-harmonydata_0.3.1-1.ca2004.1_all.deb
Size: 34928
MD5sum: 09abd922269652428bdf6151d8af39f5
SHA1: 7b185b3abf841e9a43f38fab3c2a832ac0ec05da
SHA256: feec41f4bebe681c0830de4534c7ca5a4e79b0ee224afe065202d2b7112e1277
SHA512: 5a9fb9ed1e7898f213a99f77b98106bb4861161bd62990a7180dec5a657d0b9ea6d6fa008873972a121bc7006dfa51746a4f92fa273cd4a507f694fe90c6b8ad
Homepage: https://cran.r-project.org/package=harmonydata
Description: CRAN Package 'harmonydata' (R Library for 'Harmony')
 'Harmony' is a tool using AI which allows you to compare items from
 questionnaires and identify similar content. You can try 'Harmony' at
 <https://harmonydata.ac.uk/app/> and you can read our blog at
 <https://harmonydata.ac.uk/blog/> or at
 <https://fastdatascience.com/how-does-harmony-work/>. Documentation at
 <https://harmonydata.ac.uk/harmony-r-released/>.

Package: r-cran-harplus
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2549
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-haven, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-harplus_1.0.1-1.ca2004.1_all.deb
Size: 401376
MD5sum: 6aa00859634f369453508dea24360eed
SHA1: bd3a0aca9177aa99c355554c5e4fc2bd4a1f5324
SHA256: 14b5c9160af911c0ff96d2f3c37f4dd4412af1efcfbb9aeb1ed94b57b284670a
SHA512: 4713093ca0ce2100b0dc5aa869273d89a5f4e5c5b3465461b7c9e06bc0def2aa961ef39f00cf989dde0351f84950d4af142c076155fe7b3288c8cc1794c370b9
Homepage: https://cran.r-project.org/package=HARplus
Description: CRAN Package 'HARplus' (Enhanced R Package for 'GEMPACK' .har and .sl4 Files)
 Provides tools for processing and analyzing .har and .sl4 files, making it
 easier for 'GEMPACK' users and 'GTAP' researchers to handle large economic
 datasets.  It simplifies the management of multiple experiment results,
 enabling faster and more efficient comparisons without complexity. Users can
 extract, restructure, and merge data seamlessly, ensuring compatibility
 across different tools.  The processed data can be exported and used in 'R',
 'Stata', 'Python', 'Julia', or any software that supports Text, CSV, or
 'Excel' formats.

Package: r-cran-harrietr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 779
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-bioc-ggtree, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-harrietr_0.2.3-1.ca2004.1_all.deb
Size: 364840
MD5sum: 284221e82f5d9215c3d29059da003c7b
SHA1: e991846bdd9e4e04957bf63f5cee8a055c504820
SHA256: 6a016f86d74bd35fc0e86b6e81ae6eadd2549b34dff0154ee7a646dd520d994b
SHA512: 5f9a9a9482cc27216b554e86a08b8e9da03f88d0d7262363267b0d910f53fce1da84375dcb52a87c936c9f1bc3c27fb62ba3585cb90070fd4584cd07fcd976a3
Homepage: https://cran.r-project.org/package=harrietr
Description: CRAN Package 'harrietr' (Wrangle Phylogenetic Distance Matrices and Other Utilities)
 Harriet was Charles Darwin's pet tortoise (possibly). 'harrietr' implements
 some function to manipulate distance matrices and phylogenetic trees to make
 it easier to plot with 'ggplot2' and to manipulate using 'tidyverse' tools.

Package: r-cran-harrypotter
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-hexbin, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-harrypotter_2.1.1-1.ca2004.1_all.deb
Size: 215848
MD5sum: 3db289c79e85c443f64a637391e0d9df
SHA1: d9bbb8bb96d59738d44222910da54b02939209a1
SHA256: 77d9a39d978ffdf22622f188e84c00067dc8f5373ff848aa58c96e6ae9b97a70
SHA512: cbe614e64713cbeb2907055e3289aa5cbd95e6358c2683b1aaf8504de842944330e3aabdea5abb9897ad0fdff98e9be4f14ecad508b5b1bd0c77a30a6fb69ff2
Homepage: https://cran.r-project.org/package=harrypotter
Description: CRAN Package 'harrypotter' (Palettes Generated from All "Harry Potter" Movies)
 Implementation of characteristic palettes inspired in the Wizarding World
 and the Harry Potter movie franchise.

Package: r-cran-hartools
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1648
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-magrittr, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-covr, r-cran-httr, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hartools_0.0.5-1.ca2004.1_all.deb
Size: 227908
MD5sum: f8d544ea855604c82feb47b4f1040bfb
SHA1: 3d2713fe49faa368ca53589e3933c31821163793
SHA256: 2ba38b28cf0fae1627281eb33a01a2dea7d0d4b98b795d9de47017752a97a0ad
SHA512: 8e1f68b64aa2a0e9ecf9dab8ce6804c1187093394b5a6f557a3ca4a6918902fd6b964aa85ec22c64418b2d6f405e936ed0db33971d1adfb4b6b5821c96b7f778
Homepage: https://cran.r-project.org/package=HARtools
Description: CRAN Package 'HARtools' (Read HTTP Archive ('HAR') Data)
 The goal of 'HARtools' is to provide a simple set of functions to
 read/parse, write and visualise HTTP Archive ('HAR') files in R.

Package: r-cran-harvest.tree
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-harvest.tree_1.1-1.ca2004.1_all.deb
Size: 63952
MD5sum: 5cdedc848dc1092fc3da677f5c7c40fe
SHA1: 8436288c46246a3b769c3df0a752feb91e9e9667
SHA256: 73c01d40071c6fdf187ba082333d816a3d7c336d6fae34b3e86114dda60d532a
SHA512: 0da9b31373670d31d0f0aea6771e2e4ecf599a5b347e6faf5b0b790ac8d6dd6d1dd44dbb00bbcff8af89b63cb63af499fec12213a59cec9cf16c8a467b50e632
Homepage: https://cran.r-project.org/package=Harvest.Tree
Description: CRAN Package 'Harvest.Tree' (Harvest the Classification Tree)
 Aimed at applying the Harvest classification tree algorithm, modified
 algorithm of classic classification tree.The harvested tree has advantage of
 deleting redundant rules in trees, leading to a simplify and more efficient
 tree model.It was firstly used in drug discovery field, but it also performs
 well in other kinds of data, especially when the region of a class is
 disconnected. This package also improves the basic harvest classification
 tree algorithm by extending the field of data of algorithm to both
 continuous and categorical variables. To learn more about the harvest
 classification tree algorithm, you can go to
 http://www.stat.ubc.ca/Research/TechReports/techreports/220.pdf for more
 information.

Package: r-cran-hash
Architecture: all
Version: 2.2.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hash_2.2.6.3-1.ca2004.1_all.deb
Size: 176864
MD5sum: ab3fd6bec1f643ec56fd2e8dd3400f7a
SHA1: 6e654408c283bcb9337e5931c2760af56f5727d9
SHA256: 6451fbcc42208ab35dd21b1447a638047c82cd2a17b80d041451b0a5e0ad0e92
SHA512: 67747fcfbfc372a5cbcf41e20a004329304756fe1a2a3f20eb15cea758bc412664fdc8ec28deade53cb6ed4c894c4c02c92b2ec4bdeb99689e3c017ea52634b0
Homepage: https://cran.r-project.org/package=hash
Description: CRAN Package 'hash' (Full Featured Implementation of Hash Tables/AssociativeArrays/Dictionaries)
 Implements a data structure similar to hashes in Perl and dictionaries in
 Python but with a purposefully R flavor. For objects of appreciable size,
 access using hashes outperforms native named lists and vectors.

Package: r-cran-hashids
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hashids_0.9.0-1.ca2004.1_all.deb
Size: 42528
MD5sum: ed2aaa8b756ff12e41a047ff99b20970
SHA1: e59197b8c72edf884e47534ef4804641bccc25ee
SHA256: a79f5c7e00e6a6c78d38986da9e0551bf77a950a9830d28b16e5d8f43dd93517
SHA512: a8c2ff1c362d80e0d4a9aab59c2fa850044e1bfeab1aad4c5ef32543cc2de91744785d4d00c178faf09ee8a14204d75dc4756e202c1622d049d16ff553debfce
Homepage: https://cran.r-project.org/package=hashids
Description: CRAN Package 'hashids' (Generate Short Unique YouTube-Like IDs (Hashes) from Integers)
 An R port of the hashids library.  hashids generates YouTube-like hashes
 from integers or vector of integers.  Hashes generated from integers are
 relatively short, unique and non-seqential.  hashids can be used to generate
 unique ids for URLs and hide database row numbers from the user.  By default
 hashids will avoid generating common English cursewords by preventing
 certain letters being next to each other.  hashids are not one-way: it is
 easy to encode an integer to a hashid and decode a hashid back into an
 integer.

Package: r-cran-hassani.sacf
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hassani.sacf_2.0-1.ca2004.1_all.deb
Size: 15528
MD5sum: 75155801e3b202769f0f656401bb9a42
SHA1: 3a7fec656ffac731ce480fe4ea88ba34943a8340
SHA256: 5c64ee441b764220409cd06e0916238cc3f4eb718d116ef94c36b752d6202272
SHA512: fc8212ce3f9e12e384dac4c84e9c5acb2184fa36dac4effb7ab76d9bac1d0d2839e94915294c9a78e6198b1e15e62a03c35315f53bd9f5f374714d27b28b423d
Homepage: https://cran.r-project.org/package=Hassani.SACF
Description: CRAN Package 'Hassani.SACF' (Computing Lower Bound of Ljung-Box Test)
 The Ljung-Box test is one of the most important tests for time series
 diagnostics and model selection.  The Hassani SACF (Sum of the Sample
 Autocorrelation Function) Theorem , however, indicates that the sum of
 sample autocorrelation function is always fix for any stationary time series
 with arbitrary length. This package confirms for sensitivity of the
 Ljung-Box test to the number of lags involved in the test and therefore it
 should be used with extra caution.  The Hassani SACF Theorem has been
 described in : Hassani, Yeganegi and M. R. (2019)
 <doi:10.1016/j.physa.2018.12.028>.

Package: r-cran-hassani.silva
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hassani.silva_1.0-1.ca2004.1_all.deb
Size: 16752
MD5sum: 8bb3bc1c66b745cf0de29b4cc3b7e44e
SHA1: ecbba82fd979643960229fe54d643581e8e003e8
SHA256: 63ea597183733094ebdb3c81b958f3ec63480df47527cbb3513db2cdfa4b0030
SHA512: 0072dff44b8b44a3cb30b04448aaafd26d016847aca5c0c9bb17ba52a2532f3da878304b9a92e7ad557a571d21500a182bd4b75a402d76f93c8c88c5d82e24ac
Homepage: https://cran.r-project.org/package=Hassani.Silva
Description: CRAN Package 'Hassani.Silva' (A Test for Comparing the Predictive Accuracy of Two Sets ofForecasts)
 A non-parametric test founded upon the principles of the Kolmogorov-Smirnov
 (KS) test, referred to as the KS Predictive Accuracy (KSPA) test. The KSPA
 test is able to serve two distinct purposes. Initially, the test seeks to
 determine whether there exists a statistically significant difference
 between the distribution of forecast errors, and secondly it exploits the
 principles of stochastic dominance to determine whether the forecasts with
 the lower error also reports a stochastically smaller error than forecasts
 from a competing model, and thereby enables distinguishing between the
 predictive accuracy of forecasts. KSPA test has been described in : Hassani
 and Silva (2015) <doi:10.3390/econometrics3030590>.

Package: r-cran-hassediagram
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-rgraphviz, r-bioc-graph
Filename: pool/dists/focal/main/r-cran-hassediagram_0.2.0-1.ca2004.1_all.deb
Size: 38492
MD5sum: 1166513d49ca7fb4eb5516d34ed24da4
SHA1: 9b34a0c689094ca323d913d3451528e21ec5038a
SHA256: 899ed2584f32540a22e84c040cdd124f4dfab8d8f7982c472d81e9523a314d51
SHA512: 99ab0c103a90a7b9667f16d256d09c53643a19de99db78b6a3f50238ed109f5f73fefc4585779b45920f0ff11aba8f57dcab8764ef1ed6172c0afdbccb6d0d82
Homepage: https://cran.r-project.org/package=hasseDiagram
Description: CRAN Package 'hasseDiagram' (Drawing Hasse Diagram)
 Drawing Hasse diagram - visualization of transitive reduction of a finite
 partially ordered set.

Package: r-cran-hassediagrams
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-mass
Suggests: r-cran-dae, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-hassediagrams_1.0-1.ca2004.1_all.deb
Size: 293448
MD5sum: f2d13cce3942ebee1944b2329266c5ea
SHA1: ce85c4ed97cf794e41bbd77be38c09371ad9ad19
SHA256: 94b0d67a2771795a9cfe64c55cf81b8f6165aebf788da94336c9f4025856b7e4
SHA512: 627f7fd99e70865e0bfb34176e03d0c3d4e70196d1e8766fb1bae30b0c550800fb2a33cfff47c048b07b646086269be5ba78a56cb3688e2aa26e5d7a9cac0f4a
Homepage: https://cran.r-project.org/package=hassediagrams
Description: CRAN Package 'hassediagrams' (Hasse Diagram of the Layout Structure and Restricted LayoutStructure)
 Returns a Hasse diagram of the layout structure (Bate and Chatfield (2016))
 <doi:10.1080/00224065.2016.11918173> or the restricted layout structure
 (Bate and Chatfield (2016)) <doi:10.1080/00224065.2016.11918174> of an
 experimental design.

Package: r-cran-hatchr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4649
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggtext, r-cran-lifecycle, r-cran-lubridate, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-readr, r-cran-purrr, r-cran-rmarkdown, r-cran-nycflights13, r-cran-tidyr, r-cran-stringr, r-cran-ggridges, r-cran-patchwork, r-cran-testthat, r-cran-cli
Filename: pool/dists/focal/main/r-cran-hatchr_0.3.2-1.ca2004.1_all.deb
Size: 3547736
MD5sum: 653eb8f3173bd0e095aff013b44f7f5a
SHA1: e33c894a3ad58df871efba283fac864c9c7204c9
SHA256: ec8cdc340d87fb9c3cf981312d5385946412498993a1ec888e7e9711c46512b9
SHA512: dc105c4c35e9e44450f05094db642d7ce4f2b982803ee1f99b60947a83aa1a49b4d21ac17c49b70c3e777fb0078bb46acd6fa95b79b6d06479aa6209e986f6e2
Homepage: https://cran.r-project.org/package=hatchR
Description: CRAN Package 'hatchR' (Predict Fish Hatch and Emergence Timing)
 Predict hatch and emergence timing for a wide range of wild fishes using the
 effective value framework (Sparks et al., (2019)
 <DOI:10.1139/cjfas-2017-0468>). 'hatchR' offers users access to established
 phenological models and the flexibility to incorporate custom
 parameterizations using external datasets.

Package: r-cran-hazarddiff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ahaz, r-cran-rootsolve, r-cran-survival, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-hazarddiff_0.1.0-1.ca2004.1_all.deb
Size: 26808
MD5sum: aa8a405f636c243b1dd2b1b73a8a716a
SHA1: d635f64dee811ae6589ff9f53d478c6d7ac4d3f0
SHA256: 81db714c4427076ebc9e9e29c09e8b0bc89ce43f063e95093cd828c1271487e8
SHA512: 03a013def0ffb960121a86ef68842e314f3acef93f3b9f97db288aca84742df4a63ea767eb321dfb3e8574d9172a9447b7246382aaf94d768ec5287f35428486
Homepage: https://cran.r-project.org/package=HazardDiff
Description: CRAN Package 'HazardDiff' (Conditional Treatment Effect for Competing Risks)
 The conditional treatment effect for competing risks data in observational
 studies is estimated. While it is described as a constant difference between
 the hazard functions given the covariates, we do not assume specific
 functional forms for the covariates. Rava, D. and Xu, R. (2021)
 <arXiv:2112.09535>.

Package: r-cran-hazer
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-jpeg, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hazer_1.1.1-1.ca2004.1_all.deb
Size: 872304
MD5sum: c02fe22837fa0967008c764083d65602
SHA1: a60c1c190ccecf2868dc641e3d5c2aa523054538
SHA256: 762e5aaafcf4771deb5edf63c532179da2a2c028e6fea7a890fdd741612d8f3c
SHA512: b3241e1b8a02898da120e8450bebaf134edf6f571fc5a1cac2dd0c1d8ef8c1a225f40f16de217a8c7ad468006afa880f43558fd9f8794fd89cdd2df88e3fa53f
Homepage: https://cran.r-project.org/package=hazer
Description: CRAN Package 'hazer' (Identifying Foggy and Cloudy Images by Quantifying Haziness)
 Provides a set of functions to estimate haziness of an image based on RGB
 bands. It returns a haze factor, varying from 0 to 1, a metric for fogginess
 and cloudiness. The package also presents additional functions to estimate
 brightness, darkness and contrast rasters of the RGB image. This package can
 be used for several applications such as inference of weather quality data
 and performing environmental studies from interpreting digital images.

Package: r-cran-hazus
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2
Suggests: r-cran-ggplot2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hazus_0.1-1.ca2004.1_all.deb
Size: 116912
MD5sum: edeae0d7d518bc913cb381c2c475c19c
SHA1: 101580e3a2738539668a300708e450ef32310c04
SHA256: aba92677f99efc0bf499821d26dea866855d8bf15f1be8d729440451373bd822
SHA512: 39801ef62b6159a747f8a8fc125f4f05304b77e3b6eb39ef8b04bc928c4117a0e18abd722e1b88008d60e2eb2cf874ad2c3d3462bf23d8aefd5dd0dee7a1b354
Homepage: https://cran.r-project.org/package=hazus
Description: CRAN Package 'hazus' (Damage functions from FEMA's HAZUS software for use in modelingfinancial losses from natural disasters)
 Damage Functions (DFs), also known as Vulnerability Functions, associate the
 physical damage to a building or a structure (and also its contents and
 inventory) from natural disasters to financial damage.  The Federal
 Emergency Management Agency (FEMA) in USA developed several thousand DFs and
 these serve as a benchmark in natural catastrophe modeling, both in academia
 and industry. However, these DFs and their documentation are buried within
 the HAZUS software are not easily accessible for analysis and visualization.
 This package provides more than 1300 raw DFs used by FEMA's HAZUS software
 and also functionality to extract and visualize DFs specific to the flood
 hazard. The vignette included with this package demonstrates its use.

Package: r-cran-hbbr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2jags
Suggests: r-cran-ggplot2, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hbbr_1.1.2-1.ca2004.1_all.deb
Size: 46460
MD5sum: 1835ef61c1e535b2e8cf8095810072aa
SHA1: 100c4f63a437607b38028d671cede9fe8d7924b7
SHA256: c96a328a9d888294e589877af01a3214eafc6370c1bdbc0a93d5b1f8dbb6d498
SHA512: f5b99028ea63c23778e0893309d7cd975ef5e69c9c642d7791e51156949570705a34c72dcbd8a373e5310aa6ffe41c0ae509b37d4f8dfde2dbdde0df4a19093f
Homepage: https://cran.r-project.org/package=hbbr
Description: CRAN Package 'hbbr' (Hierarchical Bayesian Benefit-Risk Assessment Using DiscreteChoice Experiment)
 Implements assessment of benefit-risk balance using Bayesian Discrete Choice
 Experiment. For more details see the article by Mukhopadhyay et al. (2019)
 <DOI:10.1080/19466315.2018.1527248>.

Package: r-cran-hbglm
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-bayesm, r-cran-sns, r-cran-mfusampler
Filename: pool/dists/focal/main/r-cran-hbglm_0.1-1.ca2004.1_all.deb
Size: 157260
MD5sum: 7aa509139badfcbfb3f81b0825e91ecd
SHA1: b38c8545c452d19a7890b065ec60bf9b8f88a1c7
SHA256: f4a53f6fa54bb853a239266a96ecf24d953b5d1b807d74e4919a273a04b0b540
SHA512: f97060080fbbfc41424b8cca61dbc73e3b70b796d7bb19b7eb7863d8318da92893a3f874ffb057df5d3cb8696eb253d50d13c2f4154b8fcb516beba54c427a63
Homepage: https://cran.r-project.org/package=HBglm
Description: CRAN Package 'HBglm' (Hierarchical Bayesian Regression for GLMs)
 Convenient and efficient functions for performing 2-level hierarchical
 Bayesian regression analysis for multi-group data. The lowest level may
 belong to the generalized linear model (GLM) family while the prior level,
 which effects pooling, allows for linear regression on lower level
 covariates. Constraints on all or part of the parameter set maybe specified
 with ease. A rich set of methods is included to visualize and analyze
 results.

Package: r-cran-hbim
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-hbim_1.1.2-1.ca2004.1_all.deb
Size: 450288
MD5sum: 6b9c2043afb4ff9d9cb563ef60fc862d
SHA1: 72d86d67a0e76775ddc54d093f0da62372973f10
SHA256: a1b29cf782d31cb35ea6136660a36d18c3da31774da07f47b0acbe8d758658e9
SHA512: 069245129763dad16d888598a955abf2c06667bf4ce731c7ab071e632866acb3aba3a029a4f1005dcab1db4eae846204ae8f8bcf32bbdd0a55daf62dcde671cc
Homepage: https://cran.r-project.org/package=hbim
Description: CRAN Package 'hbim' (Hill/Bliss Independence Model for Combination Vaccines)
 Calculate expected relative risk and proportion protected assuming normally
 distributed log10 transformed antibody dose for a several component vaccine.
 Uses Hill models for each component which are combined under Bliss
 independence. See Saul and Fay, 2007 <DOI:10.1371/journal.pone.0000850>.

Package: r-cran-hbm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-hbm_1.0-1.ca2004.1_all.deb
Size: 65328
MD5sum: 9f1a35143f5076a3e9bab588fce9adf2
SHA1: cc1966755de14d394b0ac09db6f3056383b57d49
SHA256: cb1517395d31d28791e3cb291bee3196053fb0b26fa2948f565ab52d69f2e372
SHA512: 160f6d8005d788b0cd324c58d9a9ee73c9cd3179c0d1738a0d6c047f2d4dd419912663c11ee4c9aa6a4d953bfcbdc5b63db3f856a6cb78ebd9804816caa47b8f
Homepage: https://cran.r-project.org/package=hbm
Description: CRAN Package 'hbm' (Hierarchical Block Matrix Analysis)
 A package for building hierarchical block matrices from association matrices
 and for performing multi-scale analysis. It specifically targets chromatin
 contact maps, generated from high-throughput chromosome conformation capture
 data, such as 5C and Hi-C, and provides methods for detecting movements and
 for computing chain hierarchy and region communicability across scales.

Package: r-cran-hbsae
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-mcmcsae, r-cran-survey, r-cran-knitr, r-cran-hypergeo, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hbsae_1.2-1.ca2004.1_all.deb
Size: 154672
MD5sum: 2e2595ef400e1775fa3cd4a781d4beeb
SHA1: 47007e0a1542e7ccf51b3c569e55c51ad51abc37
SHA256: ecb3ae306cab7b22b23a9dd32890e3df4844d35f5a9cc66df27b0ba007f95f9c
SHA512: dcaa18ebf87bb0d54f7958d88f5ab99f82fed2b1cb5bfff196db39105c1f0bd905777bf34a6151359644fe19d0d2dd0c0c12e3b746ffc87f0850612f8dfad8ed
Homepage: https://cran.r-project.org/package=hbsae
Description: CRAN Package 'hbsae' (Hierarchical Bayesian Small Area Estimation)
 Functions to compute small area estimates based on a basic area or
 unit-level model. The model is fit using restricted maximum likelihood, or
 in a hierarchical Bayesian way. In the latter case numerical integration is
 used to average over the posterior density for the between-area variance.
 The output includes the model fit, small area estimates and corresponding
 mean squared errors, as well as some model selection measures. Additional
 functions provide means to compute aggregate estimates and mean squared
 errors, to minimally adjust the small area estimates to benchmarks at a
 higher aggregation level, and to graphically compare different sets of small
 area estimates.

Package: r-cran-hbstm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1775
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-fbasics, r-cran-maps
Filename: pool/dists/focal/main/r-cran-hbstm_1.0.2-1.ca2004.1_all.deb
Size: 1453404
MD5sum: 02c97c28599b00ef2504290a9c853d3c
SHA1: 178a8587756c32e8f5dad9250a09af90e9e0e309
SHA256: 03e6d0e7b37208ae842b3e9fd26b57adfd65f1c2660d1d347f0177055717db7f
SHA512: 5a27f87203327a09327748d862fb18c6f189a9ff52f767d889fac1dfc82f71e33a1a36538a7b5eb8aceb60f4522ffa5f8f0b6ffe41efa26f6bc5b8cb81fbf29b
Homepage: https://cran.r-project.org/package=HBSTM
Description: CRAN Package 'HBSTM' (Hierarchical Bayesian Space-Time Models for Gaussian Space-TimeData)
 Fits Hierarchical Bayesian space-Time models for Gaussian data. Furthermore,
 its functions have been implemented for analysing the fitting qualities of
 those models.

Package: r-cran-hcandersenr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4380
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hcandersenr_0.2.0-1.ca2004.1_all.deb
Size: 4328128
MD5sum: 83e4e1787b1820bba97c03ca61d1980c
SHA1: 7bbad9e526194b59aa9461403b38a6a022628212
SHA256: d0979dfcf02c4482c7469e775899bfb6085acd54e12153678286d5b88cc23054
SHA512: 4e0bf329c9f38f24dc1f0649a6c5704b69b353dcf456b8cc66cfa182c6533e1376f341968f696c950692397d1535292d8f3bf850f5c3555b9737cf8a5dd0c644
Homepage: https://cran.r-project.org/package=hcandersenr
Description: CRAN Package 'hcandersenr' (H.C. Andersens Fairy Tales)
 Texts for H.C. Andersens fairy tales, ready for text analysis. Fairy tales
 in German, Danish, English, Spanish and French.

Package: r-cran-hcc
Architecture: all
Version: 0.54-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hcc_0.54-1.ca2004.1_all.deb
Size: 51616
MD5sum: fe10099a9c2c35eba6df64d73b958983
SHA1: 48805b4cfdc2713a7346efa28f1cb92238b94a42
SHA256: 435f82a72a07f1464c1fb9b2407fef59d475aed688641f4fb5dafa7564a73b4e
SHA512: 904822e81bf3fd71e79afd6f517ebb26d67d1534cf8c4ba47d8d439d0293ffb169ac798d73e9614f8281ae3f41ad3e25b9fd6a58da207c64e23ceb9270d949de
Homepage: https://cran.r-project.org/package=hcc
Description: CRAN Package 'hcc' (Hidden correlation check)
 A new diagnostic check for model adequacy in regression and generalized
 linear models is implemented.

Package: r-cran-hcci
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hcci_1.2.0-1.ca2004.1_all.deb
Size: 49188
MD5sum: e75752902a2025d5472e2afadffe919f
SHA1: f93df6867301daaa05a9c0e9a13a565e7f86b69b
SHA256: 70eaf16a67024212434e6116299bf4a3ec40da57d94b2eca4cf0fa07f62abf5d
SHA512: a3cdd8cffe8986f728970ac015908f2604700a60cadee72167fc3b085f18aa3c86fc55661a4dcfccc325f2952bdc48bcceea0e3a21d8e56cd6def06ffccfc513
Homepage: https://cran.r-project.org/package=hcci
Description: CRAN Package 'hcci' (Interval Estimation of Linear Models with Heteroskedasticity)
 Calculates the interval estimates for the parameters of linear models with
 heteroscedastic regression using bootstrap - (Wild Bootstrap) and double
 bootstrap-t (Wild Bootstrap). It is also possible to calculate confidence
 intervals using the percentile bootstrap and percentile bootstrap double.
 The package can calculate consistent estimates of the covariance matrix of
 the parameters of linear regression models with heteroscedasticity of
 unknown form. The package also provides a function to consistently calculate
 the covariance matrix of the parameters of linear models with
 heteroscedasticity of unknown form. The bootstrap methods exported by the
 package are based on the master's thesis of the first author, available at
 <https://raw.githubusercontent.com/prdm0/hcci/master/references/dissertacao_mestrado.pdf>.
 The hcci package in previous versions was cited in the book VINOD,
 Hrishikesh D. Hands-on Intermediate Econometrics Using R: Templates for
 Learning Quantitative Methods and R Software. 2022, p. 441, ISBN
 978-981-125-617-2 (hardcover). The simple bootstrap schemes are based on the
 works of Cribari-Neto F and Lima M. G. (2009)
 <doi:10.1080/00949650801935327>, while the double bootstrap schemes for the
 parameters that index the linear models with heteroscedasticity of unknown
 form are based on the works of Beran (1987) <doi:10.2307/2336685>. The use
 of bootstrap for the calculation of interval estimates in regression models
 with heteroscedasticity of unknown form from a weighting of the residuals
 was proposed by Wu (1986) <doi:10.1214/aos/1176350142>. This bootstrap
 scheme is known as weighted or wild bootstrap.

Package: r-cran-hcd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-randnet, r-cran-rspectra, r-cran-irlba, r-cran-data.tree, r-cran-data.table, r-cran-stringr, r-cran-dendextend
Filename: pool/dists/focal/main/r-cran-hcd_1.0-1.ca2004.1_all.deb
Size: 52844
MD5sum: a90d30c17bcf00a0ac790cbbf444d9d6
SHA1: 4efc331b88fba9d2230a7fb3bd9b8121af33658e
SHA256: bedc8e9cb2063ea2b1b9c0646e21d2b8cf767e74fcb23a597f5d047a3f8139c2
SHA512: 475db03890320143af5684a9933cc55db03ca9aac83b6319c48b855b91608230afa3c0bd53894f3b1d96227380621ff087b7117018f7db0387f98b37cca29cc7
Homepage: https://cran.r-project.org/package=HCD
Description: CRAN Package 'HCD' (Hierarchical Community Detection by Recursive Partitioning)
 Hierarchical community detection on networks by a recursive spectral
 partitioning strategy, which is shown to be effective and efficient in Li,
 Lei, Bhattacharyya, Sarkar, Bickel, and Levina (2018) <arXiv:1810.01509>.
 The package also includes a data generating function for a binary tree
 stochastic block model, a special case of stochastic block model that admits
 hierarchy between communities.

Package: r-cran-hce
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5952
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hce_0.7.2-1.ca2004.1_all.deb
Size: 973536
MD5sum: 11f517e706f12162ec2681f96ed46b9b
SHA1: b11e7cb844018938dd635d1ffdd13209cae6ca8e
SHA256: 22a38dc989ff0e3d738f5eedfa6ebafff36ef25b0621597be62b183f7d263174
SHA512: efd7f3076c3258cb7d93ca4b64ef0cc87b2299706297d82053fdc67557efefb9c86503c07418e77a2069e75b6e81581a08a458ee7c4e7d61f22dd80a33337412
Homepage: https://cran.r-project.org/package=hce
Description: CRAN Package 'hce' (Design and Analysis of Hierarchical Composite Endpoints)
 Simulate and analyze hierarchical composite endpoints. Win odds, also called
 Wilcoxon-Mann-Whitney or success odds, is the main analysis method. Other
 win statistics (win probability, win ratio, net benefit) are also
 implemented in the univariate case, provided there is no censoring. The win
 probability analysis is based on the Brunner-Munzel test and uses the
 DeLong-DeLong-Clarke-Pearson variance estimator, as described by Brunner and
 Konietschke (2025) in “An unbiased rank-based estimator of the Mann–Whitney
 variance including the case of ties” (Statistical Papers 66 (1): 20,
 <doi:10.1007/s00362-024-01635-0>). Stratification and covariate adjustment
 are performed based on the methodology presented by Koch GG et al. in
 “Issues for covariance analysis of dichotomous and ordered categorical data
 from randomized clinical trials and non-parametric strategies for addressing
 them” (Statistics in Medicine 17 (15-16): 1863–92). For a review, see
 Gasparyan SB et al (2021) “Adjusted win ratio with stratification:
 Calculation methods and interpretation” (Statistical Methods in Medical
 Research 30 (2): 580–611, <doi:10.1177/0962280220942558>).

Package: r-cran-hchinamap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5560
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-dplyr, r-cran-shiny, r-cran-colourpicker
Filename: pool/dists/focal/main/r-cran-hchinamap_0.1.0-1.ca2004.1_all.deb
Size: 487416
MD5sum: a8c74bf71dcc2ade8d1ee42a1d9d35da
SHA1: 47edb264e5aefa6b3937c480f5b7a46e0271a5f9
SHA256: 1dac84ecef4f64491da01ead6f9428e2b5d5b0e686010abb9b5c0a9e5f4b74ce
SHA512: 93714cef7b282c22dbd7b7190cf75b3bcff634b5d39699e49c8e3c2c8ca154b71ee05a285faaf3cb223d46d632f515b17bbaf9d089d6cfb2454de7beb1703e18
Homepage: https://cran.r-project.org/package=hchinamap
Description: CRAN Package 'hchinamap' (Mapping China and Its Provinces)
 By binding R functions and the 'Highmaps'
 <https://www.highcharts.com.cn/products/highmaps> chart library, 'hchinamap'
 package provides a simple way to map China and its provinces. The map of
 China drawn by this package contains complete Chinese territory, especially
 the Nine-dotted line, South Tibet, Hong Kong, Macao and Taiwan.

Package: r-cran-hcidata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1020
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-hcidata_0.1.0-1.ca2004.1_all.deb
Size: 995296
MD5sum: b3ceb78d8f0dd8a98347b3cee29abb36
SHA1: 75d3087bd896dc64f8bfb33bcb1a4bd2cbcbc3f6
SHA256: 57b8787be85275c17c6f5ead26bb67709f8861fcfcd8122e5ba8c90b6e8eaa9b
SHA512: df48557258506a1fa07b4e6ec92cf11eabb3b6ba176a66c6fa9144ad162c8080b02e5b48155289ec4803bcb9a318acc8959a51a26f4d2f9e076863d3157071b0
Homepage: https://cran.r-project.org/package=hcidata
Description: CRAN Package 'hcidata' (HCI Datasets)
 A collection of datasets of human-computer interaction (HCI) experiments.
 Each dataset is from an HCI paper, with all fields described and the
 original publication linked. All paper authors of included data have
 consented to the inclusion of their data in this package. The datasets
 include data from a range of HCI studies, such as pointing tasks, user
 experience ratings, and steering tasks.  Dataset sources: Bergström et al.
 (2022) <doi:10.1145/3490493>; Dalsgaard et al. (2021)
 <doi:10.1145/3489849.3489853>; Larsen et al. (2019)
 <doi:10.1145/3338286.3340115>; Lilija et al. (2019)
 <doi:10.1145/3290605.3300676>; Pohl and Murray-Smith (2013)
 <doi:10.1145/2470654.2481307>; Pohl and Mottelson (2022)
 <doi:10.3389/frvir.2022.719506>.

Package: r-cran-hclusteasy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clustersim, r-cran-factoextra, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hclusteasy_0.1.0-1.ca2004.1_all.deb
Size: 112004
MD5sum: f3680e610a2088e14f2fb7717547a8bb
SHA1: 1841a468d549339762b78ea6528d9816aa118ec7
SHA256: edc90594b21c52a6f47faeef877bff4e9fa1b2402111f4d320d408e561dead7e
SHA512: ba7be8277acb96fbee7f52c51f7c3a08d36875894309aa71659fcf9cc800e447ec07914aa5c76bb7e0fa28a7acdea0f897499121c45fc9b80de32d1dffb0eeca
Homepage: https://cran.r-project.org/package=hclusteasy
Description: CRAN Package 'hclusteasy' (Determining Hierarchical Clustering Easily)
 Facilitates hierarchical clustering analysis with functions to read data in
 'txt', 'xlsx', and 'xls' formats, apply normalization techniques to the
 dataset, perform hierarchical clustering and construct scatter plot from
 principal component analysis to evaluate the groups obtained.

Package: r-cran-hcmodelsets
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4107
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-ggplot2, r-cran-survival
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-hcmodelsets_1.1.3-1.ca2004.1_all.deb
Size: 4160996
MD5sum: f265115367d587fdd42b41117f6dd177
SHA1: 0635141e40ca19ea8e935edcb7e8d5bdeab6aaae
SHA256: 620cf45836c2d4532c05ae71031e302e220de2e4af337409a8e0f870b780796b
SHA512: 1e60b195ef6042cc3fa712b3807783f7754b98fb42dbd7fc68a050719a01abe7ad61f5c841532da0a3aa7cb6d7a87290d049418100dfa88507b92afdb82f467b
Homepage: https://cran.r-project.org/package=HCmodelSets
Description: CRAN Package 'HCmodelSets' (Regression with a Large Number of Potential ExplanatoryVariables)
 Software for performing the reduction, exploratory and model selection
 phases of the procedure proposed by Cox, D.R. and Battey, H.S. (2017)
 <doi:10.1073/pnas.1703764114> for sparse regression when the number of
 potential explanatory variables far exceeds the sample size. The software
 supports linear regression, likelihood-based fitting of generalized linear
 regression models and the proportional hazards model fitted by partial
 likelihood.

Package: r-cran-hcp
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hcp_0.1-1.ca2004.1_all.deb
Size: 146336
MD5sum: fd644d9c86391101d605b19b37867811
SHA1: 16432fd167432c456c0b276bbd240e7c1cf621cc
SHA256: c5043d82fe41aefba2c3b3ea8dd4226e93d2643d6fe22c9a3ff64c016afd1395
SHA512: 3d49fb745b8d093e3fa0f50115ce24e071837e94f90eed0e22501764318d0cdaa8c874c1bcf4bf61e5e9cf46ead7104aeb92901618817a59f22f3d155f6aa54d
Homepage: https://cran.r-project.org/package=hcp
Description: CRAN Package 'hcp' (Change Point Estimation for Regression with Heteroscedastic Data)
 Estimation of parameters in 3-segment (i.e. 2 change-point) regression
 models with heteroscedastic variances is provided based on both likelihood
 and hybrid Bayesian approaches, with and without continuity constraints at
 the change points.

Package: r-cran-hcr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-hcr_0.1.1-1.ca2004.1_all.deb
Size: 35272
MD5sum: 3da8d6daa88ee75371df7201ae95f8f6
SHA1: a0ab4922e5e51aae1bf4f4da5ebd6c0f3a03c390
SHA256: c934fcce2f22b6efc7241af217ffd05dfeb80a3f366bb160fb5d0bf9f06d3933
SHA512: dc0d11c076992a3bd065858dfc1080f8c3fbf3a39a0882c468c1ec7680ec1732ed7d6184d50834a8a698725bb9531db866920c325f4bd07808247cb49ab7b4c6
Homepage: https://cran.r-project.org/package=HCR
Description: CRAN Package 'HCR' (Causal Discovery from Discrete Data using Hidden CompactRepresentation)
 This code provides a method to fit the hidden compact representation model
 as well as to identify the causal direction on discrete data.  We implement
 an effective solution to recover the above hidden compact representation
 under the likelihood framework.  Please see the Causal Discovery from
 Discrete Data using Hidden Compact Representation from NIPS 2018 by Ruichu
 Cai, Jie Qiao, Kun Zhang, Zhenjie Zhang and Zhifeng Hao (2018)
 <https://nips.cc/Conferences/2018/Schedule?showEvent=11274> for a
 description of some of our methods.

Package: r-cran-hct
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hct_0.1.3-1.ca2004.1_all.deb
Size: 6563132
MD5sum: 2f208854924a42366314f06c35e18709
SHA1: 743b575d6eab57fc897f68976fd4c29c2a30f06f
SHA256: dd310a1c0fb5fda18fe02c67077e9398d9dd013291c243716d99ee464b4bde6d
SHA512: 261ba43912c222f0507432547ed5ded2152b26d1e260b2d468bd67e23b22f1c616ada81a076e549f121efa6b02e4d1b6edf0b09dea42bd4c7712aac99edfc709
Homepage: https://cran.r-project.org/package=HCT
Description: CRAN Package 'HCT' (Calculates Significance Criteria and Power for a Single ArmTrial)
 Given a database of previous treatment/placebo estimates, their standard
 errors and sample sizes, the program calculates a significance criteria and
 power estimate that takes into account the among trial variation.

Package: r-cran-hctdesign
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack, r-cran-diversitree, r-cran-mvtnorm, r-cran-flexsurv, r-cran-survival, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-hctdesign_0.7.2-1.ca2004.1_all.deb
Size: 113176
MD5sum: c752e53310cde42e3f2b8b68017e7893
SHA1: 0cf79263c4dad3d6dbd587e673fba0b9fa917903
SHA256: 8249b1bfbb4aff6746ded6a0af36ed40305697d1f4fafe79d30649c08881c391
SHA512: 8759805628cc106747ada5a91eff84909f3f265e278d2fbff252624a02aa91e2c8f3743ff1465b895be8a770b6541abd12252f8899ba9deaf91b4c1e33bc1c5d
Homepage: https://cran.r-project.org/package=HCTDesign
Description: CRAN Package 'HCTDesign' (Group Sequential Design for Historical Control Trial withSurvival Outcome)
 It provides functions to design historical controlled trials with survival
 outcome by group sequential method. The options for interim look boundaries
 are efficacy only, efficacy & futility or futility only. It also provides
 the function to monitor the trial for any unplanned look. The package is
 based on Jianrong Wu, Xiaoping Xiong (2016) <doi:10.1002/pst.1756> and
 Jianrong Wu, Yimei Li (2020) <doi:10.1080/10543406.2019.1684305>.

Package: r-cran-hctr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-harmonicmeanp, r-cran-mass, r-cran-ncvreg, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-hctr_0.1.1-1.ca2004.1_all.deb
Size: 47596
MD5sum: 2a26b49c23e6a15e12fafb9fec7b95b2
SHA1: c4ed0ae326a3995b6001cd2a0b2b85ef185dd066
SHA256: 2ae4fcbd2828747cccc1bd01dcace5e9ae82f16ab2ef52cafe158393e8190f08
SHA512: 22d6fa4447c0434abb5da800245cc4f2ff650d01762780a837d17f70f2b14dc201c4d818185fff59b89c8efecfd65e6ca4932a21b2556708f35f12f898cd6009
Homepage: https://cran.r-project.org/package=HCTR
Description: CRAN Package 'HCTR' (Higher Criticism Tuned Regression)
 A novel searching scheme for tuning parameter in high-dimensional penalized
 regression. We propose a new estimate of the regularization parameter based
 on an estimated lower bound of the proportion of false null hypotheses
 (Meinshausen and Rice (2006) <doi:10.1214/009053605000000741>).  The bound
 is estimated by applying the empirical null distribution of the higher
 criticism statistic, a second-level significance testing, which is
 constructed by dependent p-values from a multi-split regression and
 aggregation method (Jeng, Zhang and Tzeng (2019)
 <doi:10.1080/01621459.2018.1518236>). An estimate of tuning parameter in
 penalized regression is decided corresponding to the lower bound of the
 proportion of false null hypotheses. Different penalized regression methods
 are provided in the multi-split algorithm.

Package: r-cran-hctrial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clinfun, r-cran-genbinomapps
Filename: pool/dists/focal/main/r-cran-hctrial_0.1.0-1.ca2004.1_all.deb
Size: 42260
MD5sum: d3f022e11379d7185b0cc8b9160c9387
SHA1: 393bde807b6d53b142dc3d3bcae5ce90cbbc73ec
SHA256: d43f56f24e43b77b7e1b3c5db7651706e944d909cf0de14a8a25b50d87fbed27
SHA512: c191fb407f96b877ef5fc19538110064179f60077f02fe3da5319d25b69076aa70cd4109d59296041ffd9b6507d741d19c268de1287d0c46959a6b08cf7c6224
Homepage: https://cran.r-project.org/package=hctrial
Description: CRAN Package 'hctrial' (Using Historical Controls for Designing Phase II Clinical Trials)
 Provides functions for designing phase II clinical trials adjusting for the
 heterogeneity of the population using known subgroups or historical
 controls.

Package: r-cran-hcv
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-blsm, r-cran-cluster, r-cran-geometry, r-bioc-m3c, r-cran-mass, r-cran-matrix, r-cran-rgeos, r-cran-sp
Suggests: r-cran-alphahull, r-cran-knitr, r-cran-fields
Filename: pool/dists/focal/main/r-cran-hcv_1.2.0-1.ca2004.1_all.deb
Size: 56616
MD5sum: 46fa4115a0fc26ee1bb544d78004c13f
SHA1: e70dc4a6e483d3cce69f9c23b54026e983db4cfd
SHA256: dcadbd7e2061594f240d8c5fb2f25f6930e4a7afb3e166e0bb4294796cf0d066
SHA512: d374b812e36937b96575a3923e743d8ffd3733d6fcc2b156c75fef51b498078c33b80fe9103b61c83b7940f74c387519bfb86969db51170eaca67a725a7a99b4
Homepage: https://cran.r-project.org/package=HCV
Description: CRAN Package 'HCV' (Hierarchical Clustering from Vertex-Links)
 Hierarchical clustering for spatial data, which requires clustering results
 not only homogeneous in non-geographical features among samples but also
 geographically close to each other within a cluster. It modified typically
 used hierarchical agglomerative clustering algorithms for introducing the
 spatial homogeneity, by considering geographical locations as vertices and
 converting spatial adjacency into whether a shared edge exists between a
 pair of vertices (Tzeng & Hsu, 2022) <arXiv:2201.08302>. The constraints of
 the vertex links automatically enforce the spatial contiguity property at
 each step of iterations.  In addition, methods to find an appropriate number
 of clusters and to report cluster members are also provided.

Package: r-cran-hda
Architecture: all
Version: 0.2-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071
Suggests: r-cran-mvtnorm, r-cran-klar, r-cran-mass
Filename: pool/dists/focal/main/r-cran-hda_0.2-14-1.ca2004.1_all.deb
Size: 64996
MD5sum: 92c42f9dbdcef2a3022306e0e4ffdc87
SHA1: a90b8a0de3a89d9ef9f95661066bf536c6dd1b20
SHA256: d949d39821db9f88b8d4274be35c74995ce8567f2d4a6179af2e14de0ed000ed
SHA512: ce7345bcb4ba6d2763c8f96fc14c9d3933bc77ed05e825e677383907957dc142347eaac7f24beadd94c70c12da9f04a6957fded7601e00d6053345cefed19982
Homepage: https://cran.r-project.org/package=hda
Description: CRAN Package 'hda' (Heteroscedastic Discriminant Analysis)
 Functions to perform dimensionality reduction for classification if the
 covariance matrices of the classes are unequal.

Package: r-cran-hdanova
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1742
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-lme4, r-cran-mixlm, r-cran-pls, r-cran-pracma, r-cran-progress, r-cran-rspectra
Suggests: r-cran-knitr, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-hdanova_0.8.3-1.ca2004.1_all.deb
Size: 1081872
MD5sum: dc7858c6d60f51f53cd7c89f5d5dbeff
SHA1: 4f5884bc1d8be97554e49f58f29c27f2b07a698a
SHA256: ed11d798c13b35e4a198a60d05dbbaf4e5c3bab4b4cc41f449eb34decef610c2
SHA512: c6cc4995cc5c2d63044b32c31f0d8c24eb92b7394bc117dffc103eca53729dc08ec2e80f0feeea5a921e01095108aabaa1cd292289dd8a7d6bbfb5da3cb4b28e
Homepage: https://cran.r-project.org/package=HDANOVA
Description: CRAN Package 'HDANOVA' (High-Dimensional Analysis of Variance)
 Functions and datasets to support Smilde, Marini, Westerhuis and Liland
 (2025, ISBN: 978-1-394-21121-0) "Analysis of Variance for High-Dimensional
 Data - Applications in Life, Food and Chemical Sciences".  This implements
 and imports a collection of methods for HD-ANOVA data analysis with common
 interfaces, result- and plotting functions, multiple real data sets and four
 vignettes covering a range different applications.

Package: r-cran-hdar
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2403
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr, r-cran-htmltools, r-cran-stringr, r-cran-scales, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hdar_1.0.7-1.ca2004.1_all.deb
Size: 1820996
MD5sum: f2a817ad8dcc98977f4b03d666814702
SHA1: 2275b4dc1da85214b8bb6ed2735566089a706a8b
SHA256: 5e2b4429ae35f39509d481f7e56cc4d585a37486f0cdc10bed75288dd8e9fa43
SHA512: 7bdedfe74d839a597e7bf89c4bf7e5ab3494ab8beb66bcaa2cf32f39f0caae622c02a5c07d3a592f12cb946594e411181deeb934c7222ae2825445e1902fa878
Homepage: https://cran.r-project.org/package=hdar
Description: CRAN Package 'hdar' ('REST' API Client for Accessing Data on 'WEkEO HDA V2')
 Provides seamless access to the WEkEO Harmonised Data Access (HDA) API,
 enabling users to query, download, and process data efficiently from the HDA
 platform.  With 'hdar', researchers and data scientists can integrate the
 extensive HDA datasets into their R workflows, enhancing their data analysis
 capabilities.  Comprehensive information on the API functionality and usage
 is available at <https://gateway.prod.wekeo2.eu/hda-broker/docs>.

Package: r-cran-hdbma
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r2jags, r-cran-gplots, r-cran-mass, r-cran-survival, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-hdbma_1.0-1.ca2004.1_all.deb
Size: 183700
MD5sum: f7e19af12807d4b4644a6e20b329c511
SHA1: 7350e71d7c4c3b9931a37ac2cbe56ec88215acae
SHA256: 4bb40eb2c4b787d0f057087e7bb83746094b34a8280f5e17c8168c82478bd12f
SHA512: a711647085fac82027ebcbc7c67357b6d45c8c52d5be5f11b83ddb28be32b1f1fb8221baa87c851fabf58b9d7ebf5602809a5ee117a76d38dbad45baaaebb209
Homepage: https://cran.r-project.org/package=hdbma
Description: CRAN Package 'hdbma' (Bayesian Mediation Analysis with High-Dimensional Data)
 Mediation analysis is used to identify and quantify intermediate effects
 from factors that intervene the observed relationship between an
 exposure/predicting variable and an outcome. We use a Bayesian adaptive
 lasso method to take care of the hierarchical structures and high
 dimensional exposures or mediators.

Package: r-cran-hdbrr
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2906
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-numderiv, r-cran-bigstatsr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-hdbrr_1.1.4-1.ca2004.1_all.deb
Size: 2518480
MD5sum: ab765ece5b2d5fc4b99a4509b7a638db
SHA1: b684f9783f38c715c66d5c26a72d0eed54f48f74
SHA256: cf4edcc233a0965c9f0150fc6060b6121f5eea3c9a086a07aac4aa1e58245c3f
SHA512: c974f12eb83901a23dff6bdac9e712056c84eb168489096186f4c9be931b93c27d3ae6963e7dfbf4d721ca87502d8e196673030b65cd0d7871dc1004ca218768
Homepage: https://cran.r-project.org/package=HDBRR
Description: CRAN Package 'HDBRR' (High Dimensional Bayesian Ridge Regression without MCMC)
 Ridge regression provide biased estimators of the regression parameters with
 lower variance. The HDBRR ("High Dimensional Bayesian Ridge Regression")
 function fits Bayesian Ridge regression without MCMC, this one uses the SVD
 or QR decomposition for the posterior computation.

Package: r-cran-hdcate
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kernsmooth, r-cran-r6, r-cran-hdm, r-cran-locpol, r-cran-caret
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xfun, r-cran-randomforest, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-hdcate_0.1.0-1.ca2004.1_all.deb
Size: 183576
MD5sum: 71cd6cc4db52e1080a21a384cce8bd61
SHA1: 74f16b83dbc1c535a5ff403c3b0fc9a6d489505c
SHA256: 35f0ffb9c2c2d31ad2d653ca5d84277689180f235344442bb6c6adf39cab146e
SHA512: 175c1e3f007072d552272769a411a8b186a08100d5fa8d2131d4cf4758067707e53d8ca5eb8e191ebccd74dc69a7d43d28d2a2e124c6ac4f8e2fb0c06edabedd
Homepage: https://cran.r-project.org/package=hdcate
Description: CRAN Package 'hdcate' (Estimation of Conditional Average Treatment Effects withHigh-Dimensional Data)
 A two-step double-robust method to estimate the conditional average
 treatment effects (CATE) with potentially high-dimensional covariate(s). In
 the first stage, the nuisance functions necessary for identifying CATE are
 estimated by machine learning methods, allowing the number of covariates to
 be comparable to or larger than the sample size. The second stage consists
 of a low-dimensional local linear regression, reducing CATE to a function of
 the covariate(s) of interest. The CATE estimator implemented in this package
 not only allows for high-dimensional data, but also has the “double
 robustness” property: either the model for the propensity score or the
 models for the conditional means of the potential outcomes are allowed to be
 misspecified (but not both). This package is based on the paper by Fan et
 al., "Estimation of Conditional Average Treatment Effects With
 High-Dimensional Data" (2022), Journal of Business & Economic Statistics
 <doi:10.1080/07350015.2020.1811102>.

Package: r-cran-hdci
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-slam, r-cran-foreach, r-cran-iterators, r-cran-doparallel, r-cran-lattice, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-hdci_1.0-2-1.ca2004.1_all.deb
Size: 105012
MD5sum: 33242f1fd35c99ff66286055894dd06a
SHA1: 402172b458c6345fc103d001bf231cf79e1c8ca5
SHA256: 64172b672e3566734add11be4854e4d58f041aa3b8eabcec129cf686a9ed21b4
SHA512: 06e495c65c471487e916fdebe998c8a4bc25f5affd3776c6e4bf3caab459e796aa6a8334fc6fe9bb3770a85ef1331c2d76159d15db79a20f8d44116f63c1b99a
Homepage: https://cran.r-project.org/package=HDCI
Description: CRAN Package 'HDCI' (High Dimensional Confidence Interval Based on Lasso andBootstrap)
 Fits regression models on high dimensional data to estimate coefficients and
 use bootstrap method to obtain confidence intervals. Choices for regression
 models are Lasso, Lasso+OLS, Lasso partial ridge, Lasso+OLS partial ridge.

Package: r-cran-hdclassif
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rarpack
Filename: pool/dists/focal/main/r-cran-hdclassif_2.2.2-1.ca2004.1_all.deb
Size: 238012
MD5sum: 6ba2cedb65b69f1f5e574b3d4d62b893
SHA1: 45b51cea9ad94312672441c6eb35b03ddc6aa189
SHA256: 6609eb4dfebc7161f638b88d2debe7067ef7dc8baf0715a607e6aab8ed1cc55b
SHA512: 616135a09736e4e51249bfa4c4cd9fd386cbed94a4a021821d3cee6e1c1921c5e1f02f4f7bdc15f68405acfa157b91c461940721e3309b9c9c1ee38b7768a487
Homepage: https://cran.r-project.org/package=HDclassif
Description: CRAN Package 'HDclassif' (High Dimensional Supervised Classification and Clustering)
 Discriminant analysis and data clustering methods for high dimensional data,
 based on the assumption that high-dimensional data live in different
 subspaces with low dimensionality proposing a new parametrization of the
 Gaussian mixture model which combines the ideas of dimension reduction and
 constraints on the model.

Package: r-cran-hdcuremodels
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1574
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-flexsurv, r-cran-flexsurvcure, r-cran-foreach, r-cran-ggplot2, r-cran-ggpubr, r-cran-glmnet, r-cran-knockoff, r-cran-mvnfast, r-cran-plyr, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hdcuremodels_0.0.1-1.ca2004.1_all.deb
Size: 1382116
MD5sum: 42a3e196ffd9bc19a5f265397abcee5f
SHA1: aa3cdc1aa8dc070b218455ce8159cd12a6de1f14
SHA256: d1e1bcb0bcda4090047fdf3a51e1226a09ac1c017920665f5da68fda8decfcb0
SHA512: c871e05c055c802c079c366bf8d93f2f675f728751d9b0213202bf710e1eba49f88e565610922a10dfc48fa7318ad138a5b3ec47cf28a79df2057854a2178a15
Homepage: https://cran.r-project.org/package=hdcuremodels
Description: CRAN Package 'hdcuremodels' (Penalized Mixture Cure Models for High-Dimensional Data)
 Provides functions for fitting various penalized parametric and
 semi-parametric mixture cure models with different penalty functions,
 testing for a significant cure fraction, and testing for sufficient
 follow-up as described in Fu et al (2022)<doi:10.1002/sim.9513> and Archer
 et al (2024)<doi:10.1186/s13045-024-01553-6>. False discovery rate
 controlled variable selection is provided using model-X knock-offs.

Package: r-cran-hdd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1080
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-fst, r-cran-readr, r-cran-dreamerr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hdd_0.1.1-1.ca2004.1_all.deb
Size: 416316
MD5sum: 86a6d2c01b11b35b9581e62b21ac4998
SHA1: 2966e11831b80fbf0e5369f460cb1486fcfe23dc
SHA256: 84ea518887292d74c7c78c44584d34f8cec3367e94b299345de924bc613c0573
SHA512: b36570ae7fecf11ca747ac65e855d5e10062c0de5e0d9c9d16b29862561b519a039b171fa16b0d3e9e8751a469d55a37fc21a7684af48db4f6ef2c279ad2af46
Homepage: https://cran.r-project.org/package=hdd
Description: CRAN Package 'hdd' (Easy Manipulation of Out of Memory Data Sets)
 Hard drive data: Class of data allowing the easy importation/manipulation of
 out of memory data sets. The data sets are located on disk but look like
 in-memory, the syntax for manipulation is similar to 'data.table'.
 Operations are performed "chunk-wise" behind the scene.

Package: r-cran-hddplot
Architecture: all
Version: 0.59-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3029
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-bioc-multtest
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hddplot_0.59-2-1.ca2004.1_all.deb
Size: 2955820
MD5sum: 0f23cc60146776e67f0656d1037606d6
SHA1: 3b36d71c39b084c51ebb5f93626492ffefc3fe5a
SHA256: 5a2629fe5e22d315c0de9600632cfccecd21d6df238dcd24086db6e3a2a7dd3f
SHA512: 2e4fe28af6074febd45dedbb2d9dac1e0d343c0d8abe4d95226f55041801a81755a14ec2f36fc795e7d5e6c74721251953d2ef189472d1ac074e489fcb2f6b5a
Homepage: https://cran.r-project.org/package=hddplot
Description: CRAN Package 'hddplot' (Use Known Groups in High-Dimensional Data to Derive Scores forPlots)
 Cross-validated linear discriminant calculations determine the optimum
 number of features. Test and training scores from successive
 cross-validation steps determine, via a principal components calculation, a
 low-dimensional global space onto which test scores are projected, in order
 to plot them. Further functions are included that are intended for didactic
 use. The package implements, and extends, methods described in J.H.
 Maindonald and C.J. Burden (2005)
 <https://journal.austms.org.au/V46/CTAC2004/Main/home.html>.

Package: r-cran-hdf5r.extra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hdf5r, r-cran-checkmate, r-cran-dplyr, r-cran-easy.utils, r-cran-matrix, r-cran-rlang
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-hdf5r.extra_0.1.0-1.ca2004.1_all.deb
Size: 210772
MD5sum: b3f1f61cdc09f8212adb1755dd0be630
SHA1: 9c8a02ba135557dcf51c705424044754b020b11f
SHA256: 1ab3ec0e364e344e1627830fa018eb59d975b72d81e48957aecd054145652e54
SHA512: 96ec16d0d713285b2d6f3c054cb78c112f1da5e93082b983cbab39bdce5161f60238ef1d9a651f4ab311c3d5050168cf39a9e429cacdd08dbaab93d26aa12294
Homepage: https://cran.r-project.org/package=hdf5r.Extra
Description: CRAN Package 'hdf5r.Extra' (Extensions for 'HDF5' R Interfaces)
 Some methods to manipulate 'HDF5' files, extending the 'hdf5r' package.
 Reading and writing R objects to 'HDF5' formats follow the specification of
 'AnnData' <https://anndata.readthedocs.io/en/latest/fileformat-prose.html>.

Package: r-cran-hdfqlr
Architecture: all
Version: 0.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bit64, r-cran-knitr, r-cran-ggplot2, r-cran-microbenchmark, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hdfqlr_0.6-2-1.ca2004.1_all.deb
Size: 140104
MD5sum: 8bb43f0745a4a2312fb7f64220fb458b
SHA1: 8cdefe8564514e16e0a9c61e015188361e121068
SHA256: 73ecceddd787f77d2428d0be82cb6aaae599dcd93f8145b3533196adc93362e8
SHA512: 298c717641341a191320b5da0ec6cf7532d5eb88777af82fb7fe99bb98b48dbf8857596bbd7d8c16fe08f33712bdcdc2707ad5763a9322b367df04c488080d65
Homepage: https://cran.r-project.org/package=hdfqlr
Description: CRAN Package 'hdfqlr' (Interface to 'HDFql' API)
 Provides an interface to 'HDFql' <https://www.hdfql.com/> and helper
 functions for reading data from and writing data to 'HDF5' files. 'HDFql'
 provides a high-level language for managing 'HDF5' data that is platform
 independent.  For more information, see the reference manual
 <https://www.hdfql.com/resources/HDFqlReferenceManual.pdf>.

Package: r-cran-hdftsa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ftsa
Filename: pool/dists/focal/main/r-cran-hdftsa_1.0-1.ca2004.1_all.deb
Size: 55092
MD5sum: 9fd889c99ab2fc705b256da5fb1240fe
SHA1: 160268f4be4383ccdc30a6eef56701492197d3f1
SHA256: c1f6d1485a8518706fce81ac532fccaeda0eeba3529b1f523eace8a7a85fc936
SHA512: 7b611b988ab7a297e159f24d83dd2571b047d4b3cd46ead3cf464409d8335b495d9e587bec7356919022f752612a726801be1e68fd9cd79582a0b2bc3e5f6add
Homepage: https://cran.r-project.org/package=hdftsa
Description: CRAN Package 'hdftsa' (High-Dimensional Functional Time Series Analysis)
 Offers methods for visualizing, modelling, and forecasting high-dimensional
 functional time series, also known as functional panel data. Documentation
 about 'hdftsa' is provided via the paper by Cristian F. Jimenez-Varon, Ying
 Sun and Han Lin Shang (2024, <doi:10.1080/10618600.2024.2319166>).

Package: r-cran-hdi
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scalreg, r-cran-mass, r-cran-glmnet, r-cran-linprog
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-hdi_0.1-10-1.ca2004.1_all.deb
Size: 2407500
MD5sum: 68070ab7e03b5b06ffa4a5cb8d63fbc2
SHA1: 44e8eb08cdf20552ab75f863fdc4304701905cb5
SHA256: ca5aedfc5b0fe4d260db494ad901f3924c0fc8ddef4c25502b31be6c54cac936
SHA512: ab221772af3e0aaa5343193e0d0b7e07e88307402e238756344b3b67f8d07db295ca7e4cd01f37a33c37f624886bdb4fdc33998344a0a35a3326639a26812373
Homepage: https://cran.r-project.org/package=hdi
Description: CRAN Package 'hdi' (High-Dimensional Inference)
 Implementation of multiple approaches to perform inference in
 high-dimensional models.

Package: r-cran-hdimpute
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-missranger, r-cran-plyr, r-cran-purrr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-tidyselect, r-cran-tidyr, r-cran-cli
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-usethis, r-cran-missforest, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-hdimpute_0.2.1-1.ca2004.1_all.deb
Size: 82988
MD5sum: 47eb8efd27fedd8d6c9455d775b0b4bb
SHA1: 3d1cd71f889e8f9e175fe3b15b8244bf9e2e1b7f
SHA256: 10b173bdc1d77b9b7ac7d183eb2209654f6e0777ffad25aef23c11a86079e3b3
SHA512: 9e97ffb2c0a9e6aa4453c99d391aea42413625c57c076d6d82cb8243c686496c9fec88a5dabf68a787ac14e075aa4f796b8f9f2bd98a224608d7d82c361db86e
Homepage: https://cran.r-project.org/package=hdImpute
Description: CRAN Package 'hdImpute' (A Batch Process for High Dimensional Imputation)
 A correlation-based batch process for fast, accurate imputation for high
 dimensional missing data problems via chained random forests.  See Waggoner
 (2023) <doi:10.1007/s00180-023-01325-9> for more on 'hdImpute', Stekhoven
 and Bühlmann (2012) <doi:10.1093/bioinformatics/btr597> for more on
 'missForest', and Mayer (2022) <https://github.com/mayer79/missRanger> for
 more on 'missRanger'.

Package: r-cran-hdinterval
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-coda
Filename: pool/dists/focal/main/r-cran-hdinterval_0.2.4-1.ca2004.1_all.deb
Size: 51896
MD5sum: 81bd0fab6a586582f74a9ca8e15df98d
SHA1: 449c965bbc8981657ec6dd838c245b31ca5ef5c1
SHA256: 7e47a9bc901ac29da406c4471cb029b7aac0a31576d3f95926582a62ed640940
SHA512: f5fa6dc9a3a687459c8f471957004eae1b6580e4b3ab69e03d331a8134170a3b278bbeb31e45f70472227186dfae59fb9b9b03820406d8654fa801e69213b271
Homepage: https://cran.r-project.org/package=HDInterval
Description: CRAN Package 'HDInterval' (Highest (Posterior) Density Intervals)
 A generic function and a set of methods to calculate highest density
 intervals for a variety of classes of objects which can specify a
 probability density distribution, including MCMC output, fitted density
 objects, and functions.

Package: r-cran-hdir
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-npcirc, r-cran-circular, r-cran-rgl, r-cran-directional, r-cran-movmf
Suggests: r-cran-ggplot2, r-cran-maps, r-cran-mapproj, r-cran-dirstats
Filename: pool/dists/focal/main/r-cran-hdir_1.1.3-1.ca2004.1_all.deb
Size: 390420
MD5sum: 9811d287204b801b65b3a159923ed32f
SHA1: 4b325b7dc428797518c7551bd911044a49f51744
SHA256: e2d9e6b427687b9f8139b8e2b0c4da1f9c6b7ed975fbddc789426cf8190539a8
SHA512: 013ffbf48819077eca8162f7d699a25d0dab926308d132c716669946dc2c265bfd13a43f88c1a456114c7fde11334fdfbef3fd5a8d4703310ae71293034e4bbe
Homepage: https://cran.r-project.org/package=HDiR
Description: CRAN Package 'HDiR' (Directional Highest Density Regions)
 We provide an R tool for computation and nonparametric plug-in estimation of
 Highest Density Regions (HDRs) and general level sets in the directional
 setting. Concretely, circular and spherical HDRs can be reconstructed from a
 data sample following Saavedra-Nieves and Crujeiras (2021)
 <doi:10.1007/s11634-021-00457-4>. This library also contains two real
 datasets in the circular and spherical settings. The first one concerns a
 problem from animal orientation studies and the second one is related to
 earthquakes occurrences.

Package: r-cran-hdivar
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lpsolve, r-cran-abind
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hdivar_1.0.2-1.ca2004.1_all.deb
Size: 66240
MD5sum: 7ef7a772a2b6ae01fbaff6aff11457d3
SHA1: b11e969d49650870ce0399c685d4c472847f51e0
SHA256: 27597a42eb9ed34f908fc83f62b90f44489a14984ac3af5405bc32fd2b9bad4f
SHA512: 92afecbf4b8ffcc6d3290bdfdcd863dc41b8feba573779c7f80ec6b5575f1bf62bdc414acdb580e79e6bc9a468fc50d477bcb0fe982a8488c824cd2d28f80d4c
Homepage: https://cran.r-project.org/package=hdiVAR
Description: CRAN Package 'hdiVAR' (Statistical Inference for Noisy Vector Autoregression)
 The model is high-dimensional vector autoregression with measurement error,
 also known as linear gaussian state-space model. Provable sparse
 expectation-maximization algorithm is provided for the estimation of
 transition matrix and noise variances. Global and simultaneous testings are
 implemented for transition matrix with false discovery rate control. For
 more information, see the accompanying paper: Lyu, X., Kang, J., & Li, L.
 (2023). "Statistical inference for high-dimensional vector autoregression
 with measurement error", Statistica Sinica.

Package: r-cran-hdm
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1949
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-ggplot2, r-cran-checkmate, r-cran-formula
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr, r-cran-xtable, r-cran-mvtnorm, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-hdm_0.3.2-1.ca2004.1_all.deb
Size: 1679996
MD5sum: 6ceb5b2a2d6c16bf61a32edea6cd1ef4
SHA1: 61f2804b5c466e031c1669dced7b143bee7e4ae5
SHA256: b75ec7597d0a55fee7eee21d76721fbe5c16a15be43585a52416cbbfd4feea9d
SHA512: 59d237a30bee91d62eca044084251718ada3a0f7e3dc7cfa62eaec089c4bd51e74992267cbb75690f26bb8ca7d0a82e763aae23c49923cee55e762031b94f8e7
Homepage: https://cran.r-project.org/package=hdm
Description: CRAN Package 'hdm' (High-Dimensional Metrics)
 Implementation of selected high-dimensional statistical and econometric
 methods for estimation and inference. Efficient estimators and uniformly
 valid confidence intervals for various low-dimensional causal/ structural
 parameters are provided which appear in high-dimensional approximately
 sparse models. Including functions for fitting heteroscedastic robust Lasso
 regressions with non-Gaussian errors and for instrumental variable (IV) and
 treatment effect estimation in a high-dimensional setting. Moreover, the
 methods enable valid post-selection inference and rely on a theoretically
 grounded, data-driven choice of the penalty.  Chernozhukov, Hansen, Spindler
 (2016) <arXiv:1603.01700>.

Package: r-cran-hdmd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-mass
Suggests: r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-hdmd_1.2-1.ca2004.1_all.deb
Size: 106580
MD5sum: ab04a366b78bc862d7852987ae9234a3
SHA1: 5b56993a78c586cc02cc4a983b8a5a22eb0c117a
SHA256: ae1cb3311caf7b515c498476202950370771402cbe391cf9847af1b9b698a07f
SHA512: 32890c2883ff5df69b0bc3cb6b327b9e2b7d0e29d480b24fbe8f1c532bfff0212a6d497955b77fecc059f0cbf9a0bc8fea626137a1015940c214aaa484179ff5
Homepage: https://cran.r-project.org/package=HDMD
Description: CRAN Package 'HDMD' (Statistical Analysis Tools for High Dimension Molecular Data(HDMD))
 High Dimensional Molecular Data (HDMD) typically have many more variables or
 dimensions than observations or replicates (D>>N).  This can cause many
 statistical procedures to fail, become intractable, or produce misleading
 results.  This package provides several tools to reduce dimensionality and
 analyze biological data for meaningful interpretation of results. Factor
 Analysis (FA), Principal Components Analysis (PCA) and Discriminant Analysis
 (DA) are frequently used multivariate techniques.  However, PCA methods
 prcomp and princomp do not reflect the proportion of total variation of each
 principal component.  Loadings.variation displays the relative and
 cumulative contribution of variation for each component by accounting for
 all variability in data. When D>>N, the maximum likelihood method cannot be
 applied in FA and the the principal axes method must be used instead, as in
 factor.pa of the psych package. The factor.pa.ginv function in this package
 further allows for a singular covariance matrix by applying a general
 inverse method to estimate factor scores.  Moreover, factor.pa.ginv removes
 and warns of any variables that are constant, which would otherwise create
 an invalid covariance matrix. Promax.only further allows users to define
 rotation parameters during factor estimation.  Similar to the Euclidean
 distance, the Mahalanobis distance estimates the relationship among groups.
 pairwise.mahalanobis computes all such pairwise Mahalanobis distances among
 groups and is useful for quantifying the separation of groups in DA. Genetic
 sequences are composed of discrete alphabetic characters, which makes
 estimates of variability difficult.  MolecularEntropy and MolecularMI
 calculate the entropy and mutual information to estimate variability and
 covariability, respectively, of DNA or Amino Acid sequences.  Functional
 grouping of amino acids (Atchley et al 1999) is also available for entropy
 and mutual information estimation.  Mutual information values can be
 normalized by NMI to account for the background distribution arising from
 the stochastic pairing of independent, random sites. Alternatively, discrete
 alphabetic sequences can be transformed into biologically informative
 metrics to be used in various multivariate procedures.  FactorTransform
 converts amino acid sequences using the amino acid indices determined by
 Atchley et al 2005.

Package: r-cran-hdmed
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bama, r-cran-foreach, r-cran-freebird, r-cran-gcdnet, r-cran-genlasso, r-cran-hdi, r-cran-iterators, r-cran-mass, r-cran-mediation, r-cran-ncvreg
Filename: pool/dists/focal/main/r-cran-hdmed_1.0.1-1.ca2004.1_all.deb
Size: 229096
MD5sum: 8df3d869525984156e618df77e63bdae
SHA1: c9c4d2b311e006c9359256dda3e033216d462f46
SHA256: 4868d082bba967d17c40efb6131917f4eb661ba50e88ead0bec1c282bcd03d85
SHA512: 4b75cce0764759a5fb34fc7cb7cda9db784020a1b6f5a2cc93b46e4ad19e1facc9d6c2dfc0aa463c56e5ae919c2d5c5723f98374844667732cc7ccd45692b9d8
Homepage: https://cran.r-project.org/package=hdmed
Description: CRAN Package 'hdmed' (Methods for Mediation Analysis with High-Dimensional Mediators)
 A suite of functions for performing mediation analysis with high-dimensional
 mediators. In addition to centralizing code from several existing packages
 for high-dimensional mediation analysis, we provide organized,
 well-documented functions for a handle of methods which, though programmed
 their original authors, have not previously been formalized into R packages
 or been made presentable for public use. The methods we include cover a
 broad array of approaches and objectives, and are described in detail by
 both our companion manuscript---"Methods for Mediation Analysis with
 High-Dimensional DNA Methylation Data: Possible Choices and
 Comparison"---and the original publications that proposed them.  The
 specific methods offered by our package include the Bayesian sparse linear
 mixed model (BSLMM) by Song et al. (2019); high-dimensional mediation
 analysis (HDMA) by Gao et al. (2019); high-dimensional multivariate
 mediation (HDMM) by Chén et al. (2018); high-dimensional linear mediation
 analysis (HILMA) by Zhou et al. (2020); high-dimensional mediation analysis
 (HIMA) by Zhang et al. (2016); latent variable mediation analysis (LVMA) by
 Derkach et al. (2019); mediation by fixed-effect model (MedFix) by Zhang
 (2021); pathway LASSO by Zhao & Luo (2022); principal component mediation
 analysis (PCMA) by Huang & Pan (2016); and sparse principal component
 mediation analysis (SPCMA) by Zhao et al. (2020). Citations for the
 corresponding papers can be found in their respective functions.

Package: r-cran-hdmfa
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-hdmfa_0.1.1-1.ca2004.1_all.deb
Size: 69384
MD5sum: 6aee6cff35b8b00588b9a1aced24ba49
SHA1: 933ec1a3f5a19a66858c32912ed3e4ec9df728d8
SHA256: 755dd7f7af037b989e00a79c4f2d181ad2896582baf80398f86f4903d42eb17b
SHA512: 3d079384c206089e4f49d97debf188dc8b1bc671c502e9501d12f9e2d15abbd0472f8c1822a38a0cfb965436a231e9b194cf3755f0a9f8398a7f904f90eac0d9
Homepage: https://cran.r-project.org/package=HDMFA
Description: CRAN Package 'HDMFA' (High-Dimensional Matrix Factor Analysis)
 High-dimensional matrix factor models have drawn much attention in view of
 the fact that observations are usually well structured to be an array such
 as in macroeconomics and finance. In addition, data often exhibit
 heavy-tails and thus it is also important to develop robust procedures. We
 aim to address this issue by replacing the least square loss with Huber loss
 function. We propose two algorithms to do robust factor analysis by
 considering the Huber loss. One is based on minimizing the Huber loss of the
 idiosyncratic error's Frobenius norm, which leads to a weighted iterative
 projection approach to compute and learn the parameters and thereby named as
 Robust-Matrix-Factor-Analysis (RMFA), see the details in He et al.
 (2023)<doi:10.1080/07350015.2023.2191676>. The other one is based on
 minimizing the element-wise Huber loss, which can be solved by an iterative
 Huber regression algorithm (IHR), see the details in He et al. (2023)
 <arXiv:2306.03317>. In this package, we also provide the algorithm for
 alpha-PCA by Chen & Fan (2021) <doi:10.1080/01621459.2021.1970569>, the
 Projected estimation (PE) method by Yu et al.
 (2022)<doi:10.1016/j.jeconom.2021.04.001>. In addition, the methods for
 determining the pair of factor numbers are also given.

Package: r-cran-hdmt
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1886
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fdrtool, r-bioc-qvalue
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hdmt_1.0.5-1.ca2004.1_all.deb
Size: 1859560
MD5sum: c44f11b44ada4c1ba4adbcd845e59981
SHA1: 364dd9f87b4b0773c3c7d679158254d7c3de49e6
SHA256: 4deb969edaa0c0a40b6f75224ba9b6b2111172a0cbf817dcc1740ef91099a43d
SHA512: 7ad296ec0d27fb9c86c4e2e8f9ae6a917aaf16dc99796c1c8babfa0260cd222020a158d135915595aaf23a52365dcac3f3887356b90dd9ca5c85e0c8c34b5d6a
Homepage: https://cran.r-project.org/package=HDMT
Description: CRAN Package 'HDMT' (A Multiple Testing Procedure for High-Dimensional MediationHypotheses)
 A multiple-testing procedure for high-dimensional mediation hypotheses.
 Mediation analysis is of rising interest in epidemiology and clinical
 trials. Among existing methods for mediation analyses, the popular joint
 significance (JS) test yields an overly conservative type I error rate and
 therefore low power. In the R package 'HDMT' we implement a multiple-testing
 procedure that accurately controls the family-wise error rate (FWER) and the
 false discovery rate (FDR) when using JS for testing high-dimensional
 mediation hypotheses. The core of our procedure is based on estimating the
 proportions of three component null hypotheses and deriving the
 corresponding mixture distribution of null p-values. Results of the data
 examples include better-behaved quantile-quantile plots and improved
 detection of novel mediation relationships on the role of DNA methylation in
 genetic regulation of gene expression. With increasing interest in mediation
 by molecular intermediaries such as gene expression, the proposed method
 addresses an unmet methodological challenge. Methods used in the package
 refer to James Y. Dai, Janet L. Stanford & Michael LeBlanc (2020)
 <doi:10.1080/01621459.2020.1765785>.

Package: r-cran-hdmtd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 654
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hdmtd_0.1.0-1.ca2004.1_all.deb
Size: 524164
MD5sum: 3d3ee1e9f63c4e0c691b3080f6f989c9
SHA1: 1865d0382868548963614829e51f6b1207f9b0f7
SHA256: e3bb79433b56df959a19f72cd9ad6fbef25e71ba0423a723111dcb79623bc1ad
SHA512: eb65b19a592f5a52ee9b054b63b23aab01a27ae1eb33d6ccd78dab1b09efaa5837bccc29782fec34abf2775c368aa92de76d7d0ef8279b62b2cdcb05f7563a6d
Homepage: https://cran.r-project.org/package=hdMTD
Description: CRAN Package 'hdMTD' (Inference for High-Dimensional Mixture Transition DistributionModels)
 Estimates parameters in Mixture Transition Distribution (MTD) models, a
 class of high-order Markov chains. The set of relevant pasts (lags) is
 selected using either the Bayesian Information Criterion or the Forward
 Stepwise and Cut algorithms. Other model parameters (e.g. transition
 probabilities and oscillations) can be estimated via maximum likelihood
 estimation or the Expectation-Maximization algorithm. Additionally, 'hdMTD'
 includes a perfect sampling algorithm that generates samples of an MTD model
 from its invariant distribution. For theory, see Ost & Takahashi (2023)
 <http://jmlr.org/papers/v24/22-0266.html>.

Package: r-cran-hdoutliers
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3531
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-factominer, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-hdoutliers_1.0.4-1.ca2004.1_all.deb
Size: 2475200
MD5sum: 6da393c9e260498dcf69b75bfb17180d
SHA1: c60e26f00278349faad47cba73ce43626f4bacf2
SHA256: 18f521363ec6c770ec1a8f478c44106bae4da44c73b02e4ef58a5d1195431e3a
SHA512: 8575d9ea5c8b2e64089e3216157022f9003cc532ac264f7361aa0cfce6b29211870ada99f0d7339c4c061d3da36b48af47dbfd50d07333f61c81f6d0b7302fef
Homepage: https://cran.r-project.org/package=HDoutliers
Description: CRAN Package 'HDoutliers' (Leland Wilkinson's Algorithm for Detecting MultidimensionalOutliers)
 An implementation of an algorithm for outlier detection that can handle a)
 data with a mixed categorical and continuous variables, b) many columns of
 data, c) many rows of data, d) outliers that mask other outliers, and e)
 both unidimensional and multidimensional datasets. Unlike ad hoc methods
 found in many machine learning papers, HDoutliers is based on a
 distributional model that uses probabilities to determine outliers.

Package: r-cran-hdpca
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-boot
Filename: pool/dists/focal/main/r-cran-hdpca_1.1.5-1.ca2004.1_all.deb
Size: 66244
MD5sum: 42f645443d0addc5f2a7a11afb384623
SHA1: 98ed84a3001ef1fc65b73d982c846988cb73920c
SHA256: 746b4b9aa694bad3fa6cb30bb6bc355879469063f4697234f3320649ef0fead0
SHA512: f4187c2f3694ed1a86ef79fac73fb8f76e3e5d9d7026cb87e93d1b72d7e8fd669fd735363ac08c95375c32af6f2953daced82193e204a812de65f9725d9654b3
Homepage: https://cran.r-project.org/package=hdpca
Description: CRAN Package 'hdpca' (Principal Component Analysis in High-Dimensional Data)
 In high-dimensional settings: Estimate the number of distant spikes based on
 the Generalized Spiked Population (GSP) model.  Estimate the population
 eigenvalues, angles between the sample and population eigenvectors,
 correlations between the sample and population PC scores, and the asymptotic
 shrinkage factors.  Adjust the shrinkage bias in the predicted PC scores.
 Dey, R. and Lee, S. (2019) <doi:10.1016/j.jmva.2019.02.007>.

Package: r-cran-hdrfa
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-hdrfa_0.1.5-1.ca2004.1_all.deb
Size: 53556
MD5sum: 339427ee70b8932f6d8b824339ae940a
SHA1: 62f1a4e38fd8183719edae23a49e0fde9149d740
SHA256: 5b67f52e155a22f88ac161c53aa5856ae5242e312377dfba5f96d7a85a2aa730
SHA512: 2d00f57c3119b16b8c92e9984275e4c0f711898c39dd113698339178907592e3902daa23ef422ebc99b6c4ac270af592a593ffddd1ba6b587297524332ec2044
Homepage: https://cran.r-project.org/package=HDRFA
Description: CRAN Package 'HDRFA' (High-Dimensional Robust Factor Analysis)
 Factor models have been widely applied in areas such as economics and
 finance, and the well-known heavy-tailedness of macroeconomic/financial data
 should be taken into account when conducting factor analysis. We propose two
 algorithms to do robust factor analysis by considering the Huber loss. One
 is based on minimizing the Huber loss of the idiosyncratic error's L2 norm,
 which turns out to do Principal Component Analysis (PCA) on the weighted
 sample covariance matrix and thereby named as Huber PCA. The other one is
 based on minimizing the element-wise Huber loss, which can be solved by an
 iterative Huber regression algorithm. In this package we also provide the
 code for traditional PCA, the Robust Two Step (RTS) method by He et al.
 (2022) and the Quantile Factor Analysis (QFA) method by Chen et al. (2021)
 and He et al. (2023).

Package: r-cran-hds
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-tensor
Filename: pool/dists/focal/main/r-cran-hds_0.8.1-1.ca2004.1_all.deb
Size: 65852
MD5sum: e31a60da4756ba7aa08a174299b31d60
SHA1: 3494a9f41a5689a2850584c8eb3e41b75a0e6860
SHA256: 537ddb0b712fdb27f23b3677b4112aa7e9939f65abe22edfdec4a0b40c84bace
SHA512: de5ede260cbd189985fc76563468b5581782aba904baa6d8e1200c7333ace8a313d2e7263066810d40347e16ffe59c165e7666472ae884a11d3b6dac0dcf2acd
Homepage: https://cran.r-project.org/package=hds
Description: CRAN Package 'hds' (Hazard Discrimination Summary)
 Functions for calculating the hazard discrimination summary and its standard
 errors, as described in Liang and Heagerty (2016) <doi:10.1111/biom.12628>.

Package: r-cran-hdshop
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rdpack, r-cran-lattice
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-estimdiagnostics, r-cran-mass, r-cran-corpcor, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-hdshop_0.1.5-1.ca2004.1_all.deb
Size: 1350332
MD5sum: 3a31a18026265ba7c21e1b67573de263
SHA1: d93428baf2310aa05160e0c83b0fb5d4d94535ff
SHA256: 27685fa90ac2fdda45d9042044fea580ee2d0f1bd8dfa3bdcf52f80ecbd7cfe6
SHA512: 3e5037631ce95bf9919dfea98f9392bb0f2626bb11d5caa4ad29717ffc5e6cc2a6e7779b325522e3262f031028ac539fbba3e52d0e1d63c166f431649f93cc15
Homepage: https://cran.r-project.org/package=HDShOP
Description: CRAN Package 'HDShOP' (High-Dimensional Shrinkage Optimal Portfolios)
 Constructs shrinkage estimators of high-dimensional mean-variance portfolios
 and performs high-dimensional tests on optimality of a given portfolio. The
 techniques developed in Bodnar et al. (2018
 <doi:10.1016/j.ejor.2017.09.028>, 2019 <doi:10.1109/TSP.2019.2929964>, 2020
 <doi:10.1109/TSP.2020.3037369>, 2021 <doi:10.1080/07350015.2021.2004897>)
 are central to the package. They provide simple and feasible estimators and
 tests for optimal portfolio weights, which are applicable for 'large p and
 large n' situations where p is the portfolio dimension (number of stocks)
 and n is the sample size. The package also includes tools for constructing
 portfolios based on shrinkage estimators of the mean vector and covariance
 matrix as well as a new Bayesian estimator for the Markowitz efficient
 frontier recently developed by Bauder et al. (2021)
 <doi:10.1080/14697688.2020.1748214>.

Package: r-cran-hdsinrdata
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1526
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hdsinrdata_0.1.3-1.ca2004.1_all.deb
Size: 1522196
MD5sum: eda82237fe2ffeed81de5e955180d0f9
SHA1: 66cbaf944f456212f04f8e6d0fce73d4f88931d3
SHA256: 4d2b1aab814c9ccf043d8f67816288565dc0550f2e67d84aafb518f6515d27ba
SHA512: 7a792392ae0dabdabfbaf13b0dd7acbd84362cf5e77ae7d60548087fef561964d23ac0e02d5b8303dc5d1d71a64fccc3ec4cd89f5f6750104e7a86665de4187d
Homepage: https://cran.r-project.org/package=HDSinRdata
Description: CRAN Package 'HDSinRdata' (Data for the 'Mastering Health Data Science Using R' OnlineTextbook)
 Contains ten datasets used in the chapters and exercises of Paul, Alice
 (2023) "Health Data Science in R"
 <https://alicepaul.github.io/health-data-science-using-r/>.

Package: r-cran-hdstim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1007
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-ggplot2, r-cran-uwot, r-cran-dplyr, r-cran-tidyr, r-cran-broom, r-cran-tidyselect, r-cran-ggridges, r-cran-boruta, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hdstim_0.1.0-1.ca2004.1_all.deb
Size: 860948
MD5sum: 3b21eeca0955d216226105d244213a45
SHA1: a573ff6fbc75c94714a1fd9e7430070bf4886837
SHA256: 030943b4ffecd4394b90db3d0c584d3786e676dbff30d199f928c047bf7ceb96
SHA512: 10e8880c78c598c7e6cabf6487c1bd320051f9350d6057c008f80c583b76df1737a3d1c8c4ea7861c8ded3e7b809b084d1d99f4198bcb25ea62dae4ba7a5d102
Homepage: https://cran.r-project.org/package=HDStIM
Description: CRAN Package 'HDStIM' (High Dimensional Stimulation Immune Mapping ('HDStIM'))
 A method for identifying responses to experimental stimulation in mass or
 flow cytometry that uses high dimensional analysis of measured parameters
 and can be performed with an end-to-end unsupervised approach. In the
 context of in vitro stimulation assays where high-parameter cytometry was
 used to monitor intracellular response markers, using cell populations
 annotated either through automated clustering or manual gating for a
 combined set of stimulated and unstimulated samples, 'HDStIM' labels cells
 as responding or non-responding. The package also provides auxiliary
 functions to rank intracellular markers based on their contribution to
 identifying responses and generating diagnostic plots.

Package: r-cran-hdthreshold
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fdrtool, r-cran-kernsmooth, r-cran-rdrobust
Filename: pool/dists/focal/main/r-cran-hdthreshold_1.0.0-1.ca2004.1_all.deb
Size: 104372
MD5sum: 77ee38100fda835af71cc70bb6a5c143
SHA1: 981672ebb530464b4cf274b94d96ab75fb64d2e5
SHA256: 642222557cc63dbf7405154582a8b0d8fb22c01b9dcaddbf7a612018b4160ac3
SHA512: d0c7b2466fb6cd661a0d210f103fcf9609bca0e0f15f425fddcd1a04bcbd7e839a23572c01791d3291bd74b72764eb96b33786d048399faf3c417daec03e8aa6
Homepage: https://cran.r-project.org/package=hdthreshold
Description: CRAN Package 'hdthreshold' (Inference on Many Jumps in Nonparametric Panel Regression Models)
 Provides uniform testing procedures for existence and heterogeneity of
 threshold effects in high-dimensional nonparametric panel regression models.
 The package accompanies the paper Chen, Keilbar, Su and Wang (2023)
 "Inference on many jumps in nonparametric panel regression models". arXiv
 preprint <doi:10.48550/arXiv.2312.01162>.

Package: r-cran-hdxboxer
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2463
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-stringr, r-cran-tidyr, r-cran-wrapr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hdxboxer_0.0.2-1.ca2004.1_all.deb
Size: 1246352
MD5sum: 1a8f63cd61550a7fcd4ba60be081a5d4
SHA1: 8c7f4970bc86d6f53df95cf9ad397c8bc3ab3e49
SHA256: 0ac20eae7e579d82d2c95302f14775ebfa9deaa568c1202f20b38fa018dc41b4
SHA512: f1aed21d3110065d25e1d5a840f4d1b2e2adf8e583f2036bb04823a0ce535abace7fb4cc6f3521c1b275d168f6b298f4cf29ddb81c3c40f2074840caa68eef1c
Homepage: https://cran.r-project.org/package=HDXBoxeR
Description: CRAN Package 'HDXBoxeR' (Analysis of Hydrogen-Deuterium Exchange Mass-Spectrometry Data)
 A protocol that facilitates the processing and analysis of
 Hydrogen-Deuterium Exchange Mass Spectrometry data using p-value statistics
 and Critical Interval analysis.  It provides a pipeline for analyzing data
 from 'HDXExaminer' (Sierra Analytics, Trajan Scientific), automating
 matching and comparison of protein states through Welch's T-test and the
 Critical Interval statistical framework.  Additionally, it simplifies data
 export, generates 'PyMol' scripts, and ensures calculations meet publication
 standards.  'HDXBoxeR' assists in various aspects of hydrogen-deuterium
 exchange data analysis, including reprocessing data, calculating parameters,
 identifying significant peptides, generating plots, and facilitating
 comparison between protein states.  For details check papers by Hageman and
 Weis (2019) <doi:10.1021/acs.analchem.9b01325> and Masson et al. (2019)
 <doi:10.1038/s41592-019-0459-y>.  'HDXBoxeR' citation: Janowska et al.
 (2024) <doi:10.1093/bioinformatics/btae479>.

Package: r-cran-headliner
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1546
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-nycflights13, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-headliner_0.0.3-1.ca2004.1_all.deb
Size: 1302880
MD5sum: c9effdd8d978381fd56823211afc681c
SHA1: 5adf1429e8a15f4cbb7ff54c3e6266a209690016
SHA256: 4f4e7473483f5ec2a1d6395b24bbf5deff11fa85bf1742cb9c3c6a39d3661c7d
SHA512: 5f0f288cc54e23dd46be31e7bce45afb5f71978d8d9d8bf972e43d6b78c37a048d00980e92f97e68a8ca2807c0ad61403644ae33c2eceec3a04cb4bcc284ab76
Homepage: https://cran.r-project.org/package=headliner
Description: CRAN Package 'headliner' (Compose Sentences to Describe Comparisons)
 Create dynamic, data-driven text. Given two values, a list of talking points
 is generated and can be combined using string interpolation. Based on the
 'glue' package.

Package: r-cran-healthatlas
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-httr2, r-cran-tibble, r-cran-sf, r-cran-chk
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-healthatlas_0.2.1-1.ca2004.1_all.deb
Size: 165928
MD5sum: a93c381f93ed68931ec2c9a6ae285424
SHA1: a8db7d39795b437fa7f14467e7c1fff9a5bdfb40
SHA256: 0c85df9571821b3b6f32ebe4a8328d251fb8db0674a4e33719a93639de00d9f0
SHA512: 86619b8dde897a2e861fdf1d97dc0608b3abd5b4daae0fab43ffe70f817cc7d5df14bdb0452e1425465df78cdcf45789a1e07eded609436be73f1c997d169277
Homepage: https://cran.r-project.org/package=healthatlas
Description: CRAN Package 'healthatlas' (Explore and Import 'Metopio' Health Atlas Data and SpatialLayers)
 Allows for painless use of the 'Metopio' health atlas APIs
 <https://metopio.com/health-atlas> to explore and import data.  'Metopio'
 health atlases store open public health data. See what topics (or
 indicators) are available among specific populations, periods, and
 geographic layers. Download relevant data along with geographic boundaries
 or point datasets. Spatial datasets are returned as 'sf' objects.

Package: r-cran-healthcal
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-healthcal_0.1.1-1.ca2004.1_all.deb
Size: 25308
MD5sum: 9da75945702e1b7e9a869d4fb0bdbba0
SHA1: 6397128c5917b841d504e582270c1ee03402ae17
SHA256: 5f7c21bfeed211ae155b3a7a8e750f141b0403ed7253a766fe9f2fd3c95084fb
SHA512: 6835f23d8bd3f5e2806378d03cf9f7e970edc931c8ec81859ce7b5eb56188af588a7b8f9de73e0a666dc8351553fb2c5bb5b84084d9dae762b748436faca7a2f
Homepage: https://cran.r-project.org/package=HealthCal
Description: CRAN Package 'HealthCal' (Health Calculator)
 Health Calculator helps to find different parameters like basal metabolic
 rate, body mass index etc. related to fitness and health of a person.

Package: r-cran-healthcare.antitrust
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-healthcare.antitrust_0.1.4-1.ca2004.1_all.deb
Size: 56036
MD5sum: e30f4d193eb92dd888ce8ea7b8bdbc0c
SHA1: 1336ce5e4990768319c2c2de9fe81d2bfe96f08d
SHA256: 548a05785da3afae7255e8632a608bc713b3bb02aa550f8530465cc1265eac98
SHA512: 27d923009e9d3cd2889632bc5af39e26cae6320acb46d761946c4ef381b796d25ff025f1d006eb9f2cf8625265a8b70e0d1bc27e1d5aa9daaa34d8c08f74062e
Homepage: https://cran.r-project.org/package=healthcare.antitrust
Description: CRAN Package 'healthcare.antitrust' (Healthcare Antitrust Analysis)
 Antitrust analysis of healthcare markets. Contains functions to implement
 the semiparametric estimation technique described in Raval, Rosenbaum, and
 Tenn (2017) "A Semiparametric Discrete Choice Model: An Application to
 Hospital Mergers" <doi:10.1111/ecin.12454>.

Package: r-cran-healthcareai
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 637
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-cowplot, r-cran-data.table, r-cran-dplyr, r-cran-e1071, r-cran-generics, r-cran-ggplot2, r-cran-glmnet, r-cran-lubridate, r-cran-mlmetrics, r-cran-purrr, r-cran-ranger, r-cran-recipes, r-cran-rlang, r-cran-rocr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xgboost
Suggests: r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-lintr, r-cran-odbc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-healthcareai_2.5.1-1.ca2004.1_all.deb
Size: 587112
MD5sum: f3eebd1319ca21a5677eaf9265c7f862
SHA1: a7a699729bbd2383f77ecc3989475b8452f8257d
SHA256: e3e6c50dd00d9218ced800d800afce240561a1dc01c3c8a03b82a1e1dabc7f25
SHA512: 4673ffef83df15b7ca8bafc60052cbacf555559c8cea88930fb1d395e028a7474375150d5e4a0b2ebb48cdd1fec5e49786c6c8cb442807872b76c2e9e147e369
Homepage: https://cran.r-project.org/package=healthcareai
Description: CRAN Package 'healthcareai' (Tools for Healthcare Machine Learning)
 Aims to make machine learning in healthcare as easy as possible.  You can
 develop customized, reliable, high-performance machine learning models with
 minimal code.  Models are created with automatic preprocessing,
 hyperparameter tuning, and algorithm selection (between 'xgboost' Chen, T. &
 Guestrin, C. (2016) <arXiv:1603.02754>, 'ranger' Wright, M. N., & Ziegler,
 A. (2017) <doi:10.18637/jss.v077.i01>, and 'glm' Friedman J, Hastie T,
 Tibshirani R. (2010) <doi:10.18637/jss.v033.i01>) so that they can be easily
 put into production. Additionally, there are tools to help understand how a
 model makes its predictions, select prediction threshholds for operational
 use, and evaluate model performance over time.  Code uses 'tidyverse' syntax
 and most methods have an associated visualization.

Package: r-cran-healthdb
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clock, r-cran-data.table, r-cran-dbplyr, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-healthdb_0.4.1-1.ca2004.1_all.deb
Size: 283892
MD5sum: 4ac034e1a47587edc78e09597312ad5f
SHA1: dca42b007b08e1b74090a0e544f3a4bb18dd3dfd
SHA256: 56d60b680852592ac5e32378c8c9d88cb919808f6bfc661c3b11b06702f16818
SHA512: 09892e11f37b334a2b351e48503e869e381820de66a6060aed0c23f1730b18f373722f6be20990d4e9ea1f541b3fc5030921f31f11ba5af736799ba682686022
Homepage: https://cran.r-project.org/package=healthdb
Description: CRAN Package 'healthdb' (Working with Healthcare Databases)
 A system for identifying diseases or events from healthcare databases and
 preparing data for epidemiological studies. It includes capabilities not
 supported by 'SQL', such as matching strings by 'stringr' style regular
 expressions, and can compute comorbidity scores (Quan et al. (2005)
 <doi:10.1097/01.mlr.0000182534.19832.83>) directly on a database server. The
 implementation is based on 'dbplyr' with full 'tidyverse' compatibility.

Package: r-cran-healthequal
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1581
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-emmeans, r-cran-marginaleffects, r-cran-rlang, r-cran-srvyr, r-cran-survey
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-healthequal_1.0.1-1.ca2004.1_all.deb
Size: 807672
MD5sum: de66cfa4d229a307e06cd03afeda2081
SHA1: 413787482cad7ccf184a579777c6e2fa3f555e60
SHA256: 6ec484a4ffb5d4087b0c232861c8b7f28cc7741537f6a1f3082b114a1fe3b1d3
SHA512: 75320d48d7d0404a6a334ef7e49428c5620b85127f419ec7ac9f5a716e0e2b57fa684cb69ac9076ee20df08d9f3f5a5478f76dcc41a201e51993187e4478a789
Homepage: https://cran.r-project.org/package=healthequal
Description: CRAN Package 'healthequal' (Compute Summary Measures of Health Inequality)
 Compute 21 summary measures of health inequality and its corresponding
 confidence intervals for ordered and non-ordered dimensions using
 disaggregated data. Measures for ordered dimensions (e.g., Slope Index of
 Inequality, Absolute Concentration Index) also accept individual and survey
 data.

Package: r-cran-healthfinance
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-lubridate, r-cran-readr, r-cran-scales, r-cran-shiny, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-healthfinance_0.1.0-1.ca2004.1_all.deb
Size: 29324
MD5sum: b345b0d30b26479b419d9968ffbd2672
SHA1: 90bf21679da439d706a04c76ee888c8e1291e430
SHA256: 5f26e2471ca838a5e6d7866df87d579850903c022f0c861ab68aa9862d01f2da
SHA512: af570a528464884c73f3bd4b5f509d62143ed207c0dd7a888bb0067961f8df513e9d857874ed1728bfa57e097515d574e9fd37ad5716bb6af3314f5d9d169a35
Homepage: https://cran.r-project.org/package=healthfinance
Description: CRAN Package 'healthfinance' (Financial Projections and Planning for Health Care Practices)
 Provides a shiny interface for a free, open-source managerial
 accounting-like system for health care practices. This package allows health
 care administrators to project revenue with monthly adjustments and
 procedure-specific boosts up to a 3-year period. Granular data
 (patient-level) to aggregated data (department- or hospital-level) can all
 be used as valid inputs provided historical volume and revenue data is
 available. For more details on managerial accounting techniques, see Brewer
 et al. (2015, ISBN:9780078025792).

Package: r-cran-healthyr.ai
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 800
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-yardstick, r-cran-broom, r-cran-ggrepel, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-forcats, r-cran-recipes, r-cran-purrr, r-cran-h2o, r-cran-dials, r-cran-parsnip, r-cran-tune, r-cran-workflows, r-cran-modeltime
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-healthyr.data, r-cran-scales, r-cran-tidyselect, r-cran-janitor, r-cran-timetk, r-cran-plotly, r-cran-rsample, r-cran-kknn, r-cran-hardhat, r-cran-uwot, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-healthyr.ai_0.1.1-1.ca2004.1_all.deb
Size: 583232
MD5sum: 7c9cf85a7f5414a147a26706c988ee27
SHA1: 7a3db641cf689d95e31e90c85da6345f4af47f1b
SHA256: c70bd72709d7881a60ed8600a2b9ca6e00c05193a18e0d921f8f910435d8d1e8
SHA512: f751420690d93aff0a84df8935e72dda71727062da3b50a1ea3de220d5320589097b0e1a727b5d73e3ebc01a3411fb25df274cb8b60a3baa130b178baf94e63b
Homepage: https://cran.r-project.org/package=healthyR.ai
Description: CRAN Package 'healthyR.ai' (The Machine Learning and AI Modeling Companion to 'healthyR')
 Hospital machine learning and ai data analysis workflow tools, modeling, and
 automations.  This library provides many useful tools to review common
 administrative hospital data. Some of these include predicting length of
 stay, and readmits.  The aim is to provide a simple and consistent verb
 framework that takes the guesswork out of everything.

Package: r-cran-healthyr.data
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4245
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-janitor, r-cran-dplyr, r-cran-httr2, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-healthyr.data_1.2.0-1.ca2004.1_all.deb
Size: 4297752
MD5sum: d5c4efe3650ccc843a9571f4ec23310f
SHA1: 92a93c31ede38dfff7fd0e18f7a78b1922caefa0
SHA256: 4ecf5ae109adf5c876bbea1f89f8abbeace41e4e6ac1eef625b0d0cc9f14f60f
SHA512: 92efca3bc9f71f11fc6b29ba195f6275048e928217db0f9b577a6126eb28a7648d8b0fe5d0179a4513d778909860d16c5ea0fc4ec2f530d93c49c4916d756db5
Homepage: https://cran.r-project.org/package=healthyR.data
Description: CRAN Package 'healthyR.data' (Data Only Package to 'healthyR')
 Provides data for functions typically used in the 'healthyR' package.

Package: r-cran-healthyr.ts
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-timetk, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-lubridate, r-cran-plotly, r-cran-recipes, r-cran-modeltime, r-cran-cowplot, r-cran-forcats, r-cran-stringi, r-cran-parsnip, r-cran-workflowsets, r-cran-hardhat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-rsample, r-cran-healthyr.ai, r-cran-stringr, r-cran-forecast, r-cran-tidymodels, r-cran-glue, r-cran-xts, r-cran-zoo, r-cran-tsa, r-cran-tune, r-cran-dials, r-cran-workflows, r-cran-tidyselect, r-cran-glmnet, r-cran-earth, r-cran-smooth, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-healthyr.ts_0.3.1-1.ca2004.1_all.deb
Size: 2199008
MD5sum: 4ef58eb96008d54e12d7e496bcaf1a82
SHA1: 395734ee8377669480b0239215c5e3c25c60b241
SHA256: ea6c4a37262ab1cbf0ac82f84067a3dab318e87cfda8b70e41a64a171609489e
SHA512: bb6a8e745a6f85d2d6773e962857d29a6f0d6212d0930da80fc93dfff6736b81982a1cecaf42cca48282c28f773632799021f4d3897ff1e08a42a97e46c1c1e0
Homepage: https://cran.r-project.org/package=healthyR.ts
Description: CRAN Package 'healthyR.ts' (The Time Series Modeling Companion to 'healthyR')
 Hospital time series data analysis workflow tools, modeling, and
 automations.  This library provides many useful tools to review common
 administrative time series hospital data. Some of these include average
 length of stay, and readmission rates. The aim is to provide a simple and
 consistent verb framework that takes the guesswork out of everything.

Package: r-cran-healthyr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5564
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-timetk, r-cran-ggplot2, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-stringr, r-cran-writexl, r-cran-cowplot, r-cran-scales, r-cran-sqldf, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pacman, r-cran-healthyr.data, r-cran-broom, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-healthyr_0.2.2-1.ca2004.1_all.deb
Size: 2430892
MD5sum: 08179f8d558c618c20f3531a42b38b4b
SHA1: 12da27d2ab81e01fcd4f3c3c9d37209c7146e703
SHA256: 3c7c16003150bafdec7483ca0c89f4fc57d6d7168cd9dcc2b549883180850c83
SHA512: 4567e35417715bd297b5d926ada24a2c612735e8896aaaea822683f51fab93a0bd926e049926da3a81ca4417ecc0d43fef1198b8e09789f95d5d506b70997d40
Homepage: https://cran.r-project.org/package=healthyR
Description: CRAN Package 'healthyR' (Hospital Data Analysis Workflow Tools)
 Hospital data analysis workflow tools, modeling, and automations. This
 library provides many useful tools to review common administrative hospital
 data. Some of these include average length of stay, readmission rates,
 average net pay amounts by service lines just to name a few. The aim is to
 provide a simple and consistent verb framework that takes the guesswork out
 of everything.

Package: r-cran-healthyverse
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-healthyr, r-cran-healthyr.data, r-cran-healthyr.ts, r-cran-healthyr.ai, r-cran-tidydensity, r-cran-tidyaml, r-cran-randomwalker, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-crayon, r-cran-rstudioapi, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-healthyverse_1.1.0-1.ca2004.1_all.deb
Size: 84208
MD5sum: 0e09f4fb6ceaa817f97edaa75fd92a80
SHA1: 08fb909e8ba6dffc6a32f1080249e4a8f7d82e01
SHA256: da827fc4056b1f7299d75ed6a6d17b5606992b7efb247da7f4cb4d8002877a74
SHA512: d60e50a7be949cf2ead62044bfb2225db1db31b0ffb95e56c05603d205ed0284e9ba0a3515d32659325a9999bc861caa0d5571702782135e43dfc90fb218fd3e
Homepage: https://cran.r-project.org/package=healthyverse
Description: CRAN Package 'healthyverse' (Easily Install and Load the 'healthyverse')
 The 'healthyverse' is a set of packages that work in harmony because they
 share common data representations and 'API' design. This package is designed
 to make it easy to install and load multiple 'healthyverse' packages in a
 single step.

Package: r-cran-heapsofpapers
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2599
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aws.s3, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-magrittr, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-heapsofpapers_0.1.0-1.ca2004.1_all.deb
Size: 2057464
MD5sum: 623dd31b974088dac4981a53bf0a81e6
SHA1: 11219309cf7f356eee0e3190d438a80b237f2d44
SHA256: debb2000a563e3305449b33f17281edbeda4cec92aadf51e1b7c2efdef538279
SHA512: 671abb0200d718fff94919d40891927358298cf99c8a84742924fa0e92b01d7945d29efeb5c445633f9786449a824cdb32b2e5ec2c6561269393d8f8cefe96eb
Homepage: https://cran.r-project.org/package=heapsofpapers
Description: CRAN Package 'heapsofpapers' (Easily Download Heaps of PDF and CSV Files)
 Makes it easy to download a large number of files such as PDF files and CSV
 files, while automatically slowing down requests, letting you know where it
 is up to, and adjusting for files that have already been downloaded.

Package: r-cran-heatex
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-heatex_1.0-1.ca2004.1_all.deb
Size: 32304
MD5sum: 3b6e7f4251ec57c287c49a20143f5f3a
SHA1: 7fe30cd74d598498ddd1efe8135cd762f87d5a3d
SHA256: 0effbd90e08adb3b9693ba30c8f77e17a0c6a5af3062026e90979b890bd8c0d3
SHA512: 183874b770ac3d20cb9b7173a0c2d33877f0878cfd50b091b1c5be6edc827f9f84b93dba9130ed644014145d459cb22d16d454fd959bade24889ed7dd62a6fc7
Homepage: https://cran.r-project.org/package=heatex
Description: CRAN Package 'heatex' (Heat exchange calculations during physical activity)
 The heatex package calculates heat storage in the body and the components of
 heat exchange (conductive, convective, radiative, and evaporative) between
 the body and the environment during physical activity based on the
 principles of partitional calorimetry. The program enables heat exchange
 calculations for a range of environmental conditions when wearing various
 clothing ensembles.

Package: r-cran-heatmap3
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastcluster
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-heatmap3_1.1.9-1.ca2004.1_all.deb
Size: 174344
MD5sum: a4b6a15d29c495b8bbd9161b80b21b1c
SHA1: afba066fd0b7edca8bd580795a7b041d118ac3b0
SHA256: f9261638c1b9afed8354df73d6eb2886352122564a1ac52113458068e006061d
SHA512: 8df28b7aae62bb81b77c2b20a4f347285dba357aedfdc16607035fae587a222380b2e811336b2763751705967e19bb90db393a9d78dec71be32a59654cd37d9a
Homepage: https://cran.r-project.org/package=heatmap3
Description: CRAN Package 'heatmap3' (An Improved Heatmap Package)
 An improved heatmap package. Completely compatible with the original R
 function 'heatmap', and provides more powerful and convenient features.

Package: r-cran-heatmapfit
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-heatmapfit_2.0.4-1.ca2004.1_all.deb
Size: 38552
MD5sum: 6f75a97a6603dfa25fc76a1ead996ac3
SHA1: 1c9778746ac76b046768ac5711264bafe82c93d2
SHA256: 4026f95c4f0941fe7fcad0130e9b20ac46cbf10b18c349fd8b5faa06ca2a3c13
SHA512: 7e8bfb9d24296f2292efe43694f575ba846a97665209b11cb6d853f769e7b710a270fe4060fe50aa83862025a21af64348423048ffe237eca36fa74585fbef94
Homepage: https://cran.r-project.org/package=heatmapFit
Description: CRAN Package 'heatmapFit' (Fit Statistic for Binary Dependent Variable Models)
 Generates a fit plot for diagnosing misspecification in models of binary
 dependent variables, and calculates the related heatmap fit statistic
 described in Esarey and Pierce (2012) <DOI:10.1093/pan/mps026>.

Package: r-cran-heatmapflex
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1493
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-heatplus, r-cran-rcolorbrewer
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-heatmapflex_0.1.2-1.ca2004.1_all.deb
Size: 1002776
MD5sum: 05c6184a59eefb9ea9fbcc0c76cb21f9
SHA1: 8d27ad40b6340e11570279beb9896088163c0f8f
SHA256: 2530e9f084b1219e115f2a35968f29692884fe75e2bd96e38265325b48d5b3b3
SHA512: 250007f2fbd049719a2e95b5553a7bb6600f2fde26da99675517dd954b1238a65f2d9ff97a04bf78c76d4cbeea3d1001c642def60714fc792456404f3e60b4da
Homepage: https://cran.r-project.org/package=heatmapFlex
Description: CRAN Package 'heatmapFlex' (Tools to Generate Flexible Heatmaps)
 A set of tools supporting more flexible heatmaps. The graphics is grid-like
 using the old graphics system. The main function is heatmap.n2(), which is a
 wrapper around the various functions constructing individual parts of the
 heatmap, like sidebars, picket plots, legends etc. The function supports
 zooming and splitting, i.e., having (unlimited) small heatmaps underneath
 each other in one plot deriving from the same data set, e.g., clustered and
 ordered by a supervised clustering method.

Package: r-cran-heatmaply
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5560
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotly, r-cran-viridis, r-cran-ggplot2, r-cran-dendextend, r-cran-magrittr, r-cran-reshape2, r-cran-scales, r-cran-seriation, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-htmlwidgets, r-cran-webshot, r-cran-assertthat, r-cran-egg
Suggests: r-cran-knitr, r-cran-covr, r-cran-gplots, r-cran-tidyselect, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-heatmaply_1.5.0-1.ca2004.1_all.deb
Size: 1489492
MD5sum: b6cbd712e851cc887660354e89450d5d
SHA1: 65c57c00841b7d36388a8902e68b5de04e62b17e
SHA256: 5be6011c344c2fa2543257921b2b52d079685df57259c3fc5fdf7148fe88b2fd
SHA512: 1a3fe880b06266ffab5166c899672419a01708475d32a4d942b5bbad256b4329a98a909a5fd60d735f5573a6209cf7d848e36d23f96b810a1a86879b65e89088
Homepage: https://cran.r-project.org/package=heatmaply
Description: CRAN Package 'heatmaply' (Interactive Cluster Heat Maps Using 'plotly' and 'ggplot2')
 Create interactive cluster 'heatmaps' that can be saved as a stand- alone
 HTML file, embedded in 'R Markdown' documents or in a 'Shiny' app, and
 available in the 'RStudio' viewer pane. Hover the mouse pointer over a cell
 to show details or drag a rectangle to zoom. A 'heatmap' is a popular
 graphical method for visualizing high-dimensional data, in which a table of
 numbers are encoded as a grid of colored cells. The rows and columns of the
 matrix are ordered to highlight patterns and are often accompanied by
 'dendrograms'.  'Heatmaps' are used in many fields for visualizing
 observations, correlations, missing values patterns, and more. Interactive
 'heatmaps' allow the inspection of specific value by hovering the mouse over
 a cell, as well as zooming into a region of the 'heatmap' by dragging a
 rectangle around the relevant area.  This work is based on the 'ggplot2' and
 'plotly.js' engine. It produces similar 'heatmaps' to 'heatmap.2' with the
 advantage of speed ('plotly.js' is able to handle larger size matrix), the
 ability to zoom from the 'dendrogram' panes, and the placing of factor
 variables in the sides of the 'heatmap'.

Package: r-cran-heckmanem
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-sampleselection, r-cran-momtrunc, r-cran-performanceanalytics, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-heckmanem_0.2-2-1.ca2004.1_all.deb
Size: 142284
MD5sum: 3ed12a18d2845959eac1dc395211a26d
SHA1: fe8ec9b772b4f8ad72baeaa59221cb8dbac6a1dc
SHA256: ad087d4579e0c121f0b05ce8ad30a3af5639489f0a2d7b62ea38de4fada1871d
SHA512: df92ff9f061249f009d7db8db9eacf4e7849da5739e6e968007dbf9c7f7132f6b25173619b874ed5eaff652848eb6d2c1e10387e030a3916c640a193a54484e5
Homepage: https://cran.r-project.org/package=HeckmanEM
Description: CRAN Package 'HeckmanEM' (Fit Normal, Student-t or Contaminated Normal Heckman SelectionModels)
 It performs maximum likelihood estimation for the Heckman selection model
 (Normal, Student-t or Contaminated normal) using an EM-algorithm
 <doi:10.1016/j.jmva.2021.104737>. It also performs influence diagnostic
 through global and local influence for four possible perturbation schema.

Package: r-cran-heckmange
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4095
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glm2, r-cran-maxlik, r-cran-misctools, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-heckmange_1.0.0-1.ca2004.1_all.deb
Size: 4070024
MD5sum: e58b04c90e0ff4e471eedceaf76ea73b
SHA1: 84514d40a222bf090c9e073b7e89c1cd75769dfb
SHA256: e51255bde0b2ad26fa2d111ef34e79653efd5abaa01bc77081ab8cb85cedd734
SHA512: 7e8ad6735b01d5d40b9886fb857fc6ec42b0139598642cb5ec446749b739264259d693abae989633aacdf326db0904cf71816067ab97e18e6e984f25f11ed165
Homepage: https://cran.r-project.org/package=heckmanGE
Description: CRAN Package 'heckmanGE' (Estimation and Inference for Heckman Selection Models withCluster-Robust Variance)
 Tools for the estimation of Heckman selection models with robust
 variance-covariance matrices. It includes functions for computing the bread
 and meat matrices, as well as clustered standard errors for generalized
 Heckman models, see Fernando de Souza Bastos and Wagner Barreto-Souza and
 Marc G. Genton (2022, ISSN: <https://www.jstor.org/stable/27164235>). The
 package also offers cluster-robust inference with sandwich estimators, and
 tools for handling issues related to eigenvalues in covariance matrices.

Package: r-cran-heckmanstan
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstan, r-cran-mvtnorm, r-cran-loo
Filename: pool/dists/focal/main/r-cran-heckmanstan_1.0.0-1.ca2004.1_all.deb
Size: 133404
MD5sum: 10de1e0526597b72358f0355e7d6a1e5
SHA1: 5aede98485fec8c903593b35eeda871eeaf37f61
SHA256: ff9d98714dd1a0afb86febf048e6026795dac6e2519800505070cf60b6c8c0bd
SHA512: a698ec224e2ef2c947b631a3bc65f8f0240cf88c806220e3f8cc913d69bae9b89e006882ed7aa45d6ae9cb38108c7c79fb7478f229766486908bbdc8b36a1d21
Homepage: https://cran.r-project.org/package=HeckmanStan
Description: CRAN Package 'HeckmanStan' (Heckman Selection Models Based on Bayesian Analysis)
 Implements Heckman selection models using a Bayesian approach via 'Stan' and
 compares the performance of normal, Student’s t, and contaminated normal
 distributions in addressing complexities and selection bias (Heeju Lim,
 Victor E. Lachos, and Victor H. Lachos, Bayesian analysis of flexible
 Heckman selection models using Hamiltonian Monte Carlo, 2025, under
 submission).

Package: r-cran-heda
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2802
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-zoo, r-cran-lubridate, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-heda_0.1.5-1.ca2004.1_all.deb
Size: 460936
MD5sum: a129a03dd7be891bc21f41243a2e834a
SHA1: 05fac96b30a2300d1afb3b03cd5680ce3c34062a
SHA256: f04943f21c36edbdea6c80d6e1eaa9484d17caf24989acdf75a81cc8b7c3338a
SHA512: 6b8ed99d1400dd41780fb75b49446ca04b1e9bd3902f55aa52008c98fa69db144bd8e044c85dc99c12ffde416e5ab48c6aa611120fdc235d09cafaba47fdd2a5
Homepage: https://cran.r-project.org/package=HEDA
Description: CRAN Package 'HEDA' ('Hydropeaking Events Detection Algorithm')
 This tool identifies hydropeaking events from raw time-series flow record, a
 rapid flow variation induced by the hourly-adjusted electricity market. The
 novelty of 'HEDA' is to use vector angle instead of the first-order
 derivative to detect change points which not only largely improves the
 computing efficiency but also accounts for the rate of change of the flow
 variation. More details <doi:10.1016/j.jhydrol.2021.126392>.

Package: r-cran-heddlr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-utf8, r-cran-yaml
Suggests: r-cran-covr, r-cran-here, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-nycflights13, r-cran-ggplot2, r-cran-knitr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-heddlr_0.6.0-1.ca2004.1_all.deb
Size: 938636
MD5sum: 0d0c97b0c45e8541def5bd647bdfdbe3
SHA1: 45112fee9d261ba528607a455bc4689d8e36570d
SHA256: ed1391233d25c83833d85f82844e36b16f11f1b890540a614c94c8b5bba25b20
SHA512: b8c4a4c943ee72c681d7502b16eb0f81f09a97f5bb706080d875a10edb221f48a55251ee8983a186d33572c8ece428dbb6e39d6acc05da134b9ab814c7eba8e3
Homepage: https://cran.r-project.org/package=heddlr
Description: CRAN Package 'heddlr' (Dynamic R Markdown Document Generation)
 Helper functions designed to make dynamically generating R Markdown
 documents easier by providing a simple and tidy way to create report pieces,
 shape them to your data, and combine them for exporting into a single R
 Markdown document.

Package: r-cran-hedgedrf
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger, r-cran-cvxr
Filename: pool/dists/focal/main/r-cran-hedgedrf_1.0.1-1.ca2004.1_all.deb
Size: 19888
MD5sum: 931927a4429afbf3469ccd44d746d27f
SHA1: d0ebbcb92d9680a14fcac9d7afe28c53a0fa4432
SHA256: eb292a59210e233dbbb360f444393dcf2ab5b2a02233c6053a4ddc50c74739fb
SHA512: cc4107a2aff46a9a20842d63855a969fafbba9ed04aa11e27aead4a6706402dd98083dfef97c11f2c127a1c994044f1adce79a35b28a4aaec12e11a781f9b4ba
Homepage: https://cran.r-project.org/package=hedgedrf
Description: CRAN Package 'hedgedrf' (An Implementation of the Hedged Random Forest Algorithm)
 This algorithm is described in detail in the paper "Hedging Forecast
 Combinations With an Application to the Random Forest" by Beck et al. (2024)
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=5032102>. The package
 provides a function hedgedrf() that can be used to train a Hedged Random
 Forest model on a dataset, and a function predict.hedgedrf() that can be
 used to make predictions with the model.

Package: r-cran-hedgehog
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hedgehog_0.1-1.ca2004.1_all.deb
Size: 123760
MD5sum: 887ba5ecd70c7345d90b86eb984f0452
SHA1: 41bd8df8647e4d91cc0b971487014b5d4e1e5320
SHA256: 78ab8a929d94025e389596c65bea1eb70b059706bdd2d673e8b33f94eccfd1a0
SHA512: d36485846276cfd279eb58b7453f0d798b513e56173ac444e22c0317f8962d2e4c161170808666bb013953e6afb86639d81944f0dbc1374a428deaf14c6d02a2
Homepage: https://cran.r-project.org/package=hedgehog
Description: CRAN Package 'hedgehog' (Property-Based Testing)
 Hedgehog will eat all your bugs.  'Hedgehog' is a property-based testing
 package in the spirit of 'QuickCheck'. With 'Hedgehog', one can test
 properties of their programs against randomly generated input, providing far
 superior test coverage compared to unit testing. One of the key benefits of
 'Hedgehog' is integrated shrinking of counterexamples, which allows one to
 quickly find the cause of bugs, given salient examples when incorrect
 behaviour occurs.

Package: r-cran-heemod
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3384
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-mvnfast, r-cran-tibble, r-cran-rlang, r-cran-purrr, r-cran-glue, r-cran-lifecycle, r-cran-vctrs
Suggests: r-cran-bcea, r-cran-diagram, r-cran-flexsurv, r-cran-knitr, r-cran-logitnorm, r-cran-lpsolve, r-cran-mgcv, r-cran-optimx, r-cran-readxl, r-cran-rmarkdown, r-cran-stringr, r-cran-survival, r-cran-testthat, r-cran-triangle, r-cran-magrittr, r-cran-cli
Filename: pool/dists/focal/main/r-cran-heemod_1.1.0-1.ca2004.1_all.deb
Size: 2266020
MD5sum: 2465da08941e695446ebaee44c0394d0
SHA1: 57b1029e65e6546037f52fb1e9ee49f143c8a660
SHA256: adf5c182822f315ac6ee80542e38fce8dc6c03725bc4fda9665e97b9210393ab
SHA512: e3b605149a8154d81c428377167f036f3ac3f1dd31cd10d7d6ae29f28c40f1bdf971aaddcac6c028f92357be67bd5f8cf0b5f1c3d992328c9c9004e7ff5a79b3
Homepage: https://cran.r-project.org/package=heemod
Description: CRAN Package 'heemod' (Markov Models for Health Economic Evaluations)
 An implementation of the modelling and reporting features described in
 reference textbook and guidelines (Briggs, Andrew, et al. Decision Modelling
 for Health Economic Evaluation. Oxford Univ. Press, 2011; Siebert, U. et al.
 State-Transition Modeling. Medical Decision Making 32, 690-700 (2012).):
 deterministic and probabilistic sensitivity analysis, heterogeneity
 analysis, time dependency on state-time and model-time (semi-Markov and
 non-homogeneous Markov models), etc.

Package: r-cran-heimdall
Architecture: all
Version: 1.2.707-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-daltoolbox, r-cran-ggplot2, r-cran-reticulate, r-cran-proc, r-cran-car
Filename: pool/dists/focal/main/r-cran-heimdall_1.2.707-1.ca2004.1_all.deb
Size: 172552
MD5sum: a703fd55305e0e7339cd9d24b69567a2
SHA1: 4b9b034f60bda8d6e43781b954714ce110511ac5
SHA256: 06ef45a1404f2ea50797c66b77bdfb3c83272983fed5bc7bf84496f35ed1346a
SHA512: 4c3bfdc8368716abf986efcb558acc3b68bdb4a8506bf4cb7e91580567a9edcd51df5c891e941e5f2f02f99e8b064aa7e390813493ed2ee228dddc9007bffe6e
Homepage: https://cran.r-project.org/package=heimdall
Description: CRAN Package 'heimdall' (Drift Adaptable Models)
 In streaming data analysis, it is crucial to detect significant shifts in
 the data distribution or the accuracy of predictive models over time, a
 phenomenon known as concept drift. The package aims to identify when concept
 drift occurs and provide methodologies for adapting models in non-stationary
 environments.  It offers a range of state-of-the-art techniques for
 detecting concept drift and maintaining model performance. Additionally, the
 package provides tools for adapting models in response to these changes,
 ensuring continuous and accurate predictions in dynamic contexts.  Methods
 for concept drift detection are described in Tavares (2022)
 <doi:10.1007/s12530-021-09415-z>.

Package: r-cran-heims
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-hutils, r-cran-magrittr, r-cran-fastmatch, r-cran-bit64, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-fst
Filename: pool/dists/focal/main/r-cran-heims_0.4.0-1.ca2004.1_all.deb
Size: 279628
MD5sum: 77772b86c7d80dac47edaa2b7999b8b9
SHA1: bffd09b151dda173c09e5056348cc0f7d411b7f8
SHA256: 74cb17a565ea4064e25ae0d58c38dd519123a1476b7742721a63367916d8f822
SHA512: 9fa023584b3b9ba7793e09044e2033935b3b96a169c2ed2e09cb4a42f4c4ea6f73c5195fa3220f6887834d2f8e0b09475f4b6419936cca4f748d993831b929d4
Homepage: https://cran.r-project.org/package=heims
Description: CRAN Package 'heims' (Decode and Validate HEIMS Data from Department of Education,Australia)
 Decode elements of the Australian Higher Education Information Management
 System (HEIMS) data for clarity and performance. HEIMS is the record system
 of the Department of Education, Australia to record enrolments and
 completions in Australia's higher education system, as well as a range of
 relevant information. For more information, including the source of the data
 dictionary, see
 <http://heimshelp.education.gov.au/sites/heimshelp/dictionary/pages/data-element-dictionary>.

Package: r-cran-heiscore.data
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5224
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-heiscore.data_0.0.1-1.ca2004.1_all.deb
Size: 5303820
MD5sum: 6433ab11408a2e5ec0a62edf48582805
SHA1: 0e94c80d03c85c4c2c732b4ae48ac236378e69c2
SHA256: b0e504f16d4f115b718e07f21cc4bdda603cf56a6ff720d51cce2943ef4d2d50
SHA512: cf5616629d72775fc40808c5b2626270c779552f51a9183284878a4ee550abfe62340357bac8f1c873401092ec8d9a3335a1f77d757ea32d4ca94a85f2460f00
Homepage: https://cran.r-project.org/package=heiscore.data
Description: CRAN Package 'heiscore.data' (Data Only Package to 'heiscore')
 Contains the National Health and Nutrition Examination Survey 24-hour
 dietary recall data and Healthy Eating Index scoring standards used by the
 'heiscore' package.

Package: r-cran-heiscore
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4530
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fmsb, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-rlang, r-cran-shiny, r-cran-shinythemes, r-cran-shinywidgets, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-heiscore_0.1.4-1.ca2004.1_all.deb
Size: 4596600
MD5sum: 2deb0174c1efce9f295a5a7c537e1fcc
SHA1: 76d6e977062f32175c4ab91f879201a0cb717163
SHA256: ca90ea32a30768c2d16c68337f60b14460ada01816ce5a4b20d11c00705cbb75
SHA512: 208f69dae698876335a007cd77ee63b0988b8aa73b920a347758c94dea23809f64f91b35adf30b0e28c39828e58ea1eb03090b6c5c9af9a44160364f41d31b94
Homepage: https://cran.r-project.org/package=heiscore
Description: CRAN Package 'heiscore' (Score and Plot the Healthy Eating Index from NHANES Data)
 Calculate and visualize Healthy Eating Index (HEI) scores from National
 Health and Nutrition Examination Survey 24-hour dietary recall data
 utilizing three methods recommended by the National Cancer Institute (2024)
 <https://epi.grants.cancer.gov/hei/hei-methods-and-calculations.html#:~:text=To%20use%20the%20simple%20HEI,the%20total%20scores%20across%20individuals.>.
 Effortlessly analyze HEI scores across different demographic groups and
 years.

Package: r-cran-helda
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-helda_1.1.5-1.ca2004.1_all.deb
Size: 242808
MD5sum: 24dc9a3e1bef57ec7672c7d82c4cdb02
SHA1: 69a950c1014edf80fba2a447f45d275a16962b61
SHA256: 8cc6ae03b3661aa2a4d0c805304dadc15d4a160f3220f47ca2087220bec786da
SHA512: 06ebc5cb0d68ccb87f27387c7d5c5154d694b8cb9659aea261916ba03f38ab49e5a5a0bfd8e0fc3912994c7086f411956d4ca190dacd0ad5e01fc136b96f7cf1
Homepage: https://cran.r-project.org/package=helda
Description: CRAN Package 'helda' (Preprocess Data and Get Better Insights from Machine LearningModels)
 The main focus is on preprocessing and data visualization of machine
 learning models performances.  Some functions allow to fill in gaps in time
 series using linear interpolation on panel data, some functions permit to
 draw lift effect and lift curve in order to benchmark machine learning
 models or you can even find the optimal number of clusters in agglomerative
 clustering algorithm.

Package: r-cran-helixvis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggforce, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-helixvis_1.0.1-1.ca2004.1_all.deb
Size: 132120
MD5sum: 58a27532aed8f237ae386c9f466e100e
SHA1: 401a55f07df45a8166ddeaaa13304b36755c0e8b
SHA256: 4f768d5666663fe8ce4e3c61c2ad15347b3e182da3d4a48ead2fea5d4424a6c7
SHA512: 8ba8f73902d2ba3f1c5c4690f8df8ff60fe1829478723994122e8818b4bb5d83b67db5e29f82e7b8b6727bf96700b3e195ff211a71f236e6bb9abe1980c1ccce
Homepage: https://cran.r-project.org/package=helixvis
Description: CRAN Package 'helixvis' (Visualize Alpha-Helical Peptide Sequences)
 Create publication-quality, 2-dimensional visualizations of alpha-helical
 peptide sequences. Specifically, allows the user to programmatically
 generate helical wheels and wenxiang diagrams to provide a bird's eye,
 top-down view of alpha-helical oligopeptides. See Wadhwa RR, et al. (2018)
 <doi:10.21105/joss.01008> for more information.

Package: r-cran-hellmer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ellmer, r-cran-beepr, r-cran-cli, r-cran-future, r-cran-furrr, r-cran-jsonlite, r-cran-purrr, r-cran-s7
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hellmer_0.1.2-1.ca2004.1_all.deb
Size: 289632
MD5sum: 5e8ac808f713c7940d5a22890d5dec0a
SHA1: 8c8b1e13f27413f6014849a5692f7439cf314ded
SHA256: 5204aab8c22dff8cd7fe63b2984df0c2b5cede6c0677318922eb7d0b3763e118
SHA512: 33c2ba5f1220a77ef65de7911b4476447fd3027389da72a8e82462bde3d76b06659337e19a7dd75d2f16b14eeed95ee2e71f51bc3122731f3f83c18e7febe30c
Homepage: https://cran.r-project.org/package=hellmer
Description: CRAN Package 'hellmer' (Batch Processing for Chat Models)
 Batch processing framework for 'ellmer' chat models.  Provides both
 sequential and parallel processing of chat interactions with features
 including tool calling and structured data extraction.  Enables workflow
 management through progress tracking and recovery and automatic retry with
 backoff. Additional quality-of-life features include verbosity (or echo)
 control and sound notifications.  Parallel processing is implemented via the
 'future' framework.  Includes methods for retrieving progress status, chat
 texts, and chat objects.

Package: r-cran-hellno
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hellno_0.0.1-1.ca2004.1_all.deb
Size: 13064
MD5sum: 4ed6491d1898457c1a59de335b2ab8bd
SHA1: 3f283f770a20a81d5eb29b81e977a2fd0e98ed89
SHA256: e3f5fd2e8ad3b72e6840111be74622872c82c45372128475da09307e8a165b91
SHA512: 52cc23cedb43eacebd35c597b4b9ea73788d9395da8feb80d28699922e93cb9f5d5d54ac77742118487f8dcf56e4a19a7f4d4c7d75f80952ba30785fe1aa1c86
Homepage: https://cran.r-project.org/package=hellno
Description: CRAN Package 'hellno' (Providing 'stringsAsFactors=FALSE' Variants of 'data.frame()'and 'as.data.frame()')
 Base R's default setting for 'stringsAsFactors' within 'data.frame()' and
 'as.data.frame()' is supposedly the most often complained about piece of
 code in the R infrastructure. The 'hellno' package provides an explicit
 solution without changing R itself or having to mess around with options. It
 tries to solve this problem by providing alternative 'data.frame()' and
 'as.data.frame()' functions that are in fact simple wrappers around base R's
 'data.frame()' and 'as.data.frame()' with 'stringsAsFactors' option set to
 'HELLNO' ( which in turn equals FALSE ) by default.

Package: r-cran-hellojavaworld
Architecture: all
Version: 0.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-hellojavaworld_0.0-9-1.ca2004.1_all.deb
Size: 155424
MD5sum: 54eba5fb8c798c91793cede60fef4e87
SHA1: c336f06cdc4ca062610213defe279bdf65b99785
SHA256: 2c60da6070192e5630f4c31fde22eff19fcb85dca29ee49ab3ccacd14dc35c05
SHA512: 3e8cfd22da2676f983114070019e2ccdacc1a7a38c57f5278033c5b6f9baddf756a8f373eeabea21e55229adb79b279118ab6788bc6d10bbdb8ca67a080b2aa9
Homepage: https://cran.r-project.org/package=helloJavaWorld
Description: CRAN Package 'helloJavaWorld' (Hello Java World)
 A dummy package to demonstrate how to interface to a jar file that resides
 inside an R package.

Package: r-cran-helminthr
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-rvest, r-cran-httr, r-cran-magrittr, r-cran-plyr, r-cran-taxize
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-helminthr_1.0.10-1.ca2004.1_all.deb
Size: 353756
MD5sum: 2ee349f23da6a41b14e6144103c47d1e
SHA1: 546bce5ee067972fb94737c06ab50938c113d363
SHA256: 0a411de73b62385f49360692b7c19c36998453d1bcf2295854cb7a26f892335c
SHA512: 1d3c09ff5e6663ff46b8af55715a1de22855821699c3197f52996583fa84ab63f576cb9071e8520e474ab8f3e4a5086fc036e405825eab48892b5c15f971befe
Homepage: https://cran.r-project.org/package=helminthR
Description: CRAN Package 'helminthR' (Access London Natural History Museum Host-Helminth RecordDatabase)
 Access to large host-parasite data is often hampered by the availability of
 data and difficulty in obtaining it in a programmatic way to encourage
 analyses. 'helminthR' provides a programmatic interface to the London
 Natural History Museum's host-parasite database, one of the largest
 host-parasite databases existing currently
 <https://www.nhm.ac.uk/research-curation/scientific-resources/taxonomy-systematics/host-parasites/>.
 The package allows the user to query by host species, parasite species, and
 geographic location.

Package: r-cran-helpersmg
Architecture: all
Version: 6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1223
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-rlang, r-cran-coda, r-cran-matrix
Suggests: r-cran-lme4, r-cran-rnetcdf, r-cran-ncdf4, r-cran-maps, r-cran-fields, r-cran-shiny, r-cran-ppcor, r-cran-pbmcapply, r-cran-pbapply, r-cran-visnetwork, r-cran-igraph, r-cran-shinywidgets, r-cran-cranlogs
Filename: pool/dists/focal/main/r-cran-helpersmg_6.6-1.ca2004.1_all.deb
Size: 1151512
MD5sum: 36bc94b0b0fb4456fdf908b57f0caf1d
SHA1: bd0fe9fc9b665a302f71d65b46b50cae51a36736
SHA256: eabe598f4fc26f44c04a095630af8c2231f5d46259e7b584ecea251d23fe3020
SHA512: e5d4d2e19f9d4b96c22c196d200ea6dcecd37125362db4310adca88ca3d9f9ff2233f9386f68b2781fcb640240a99953b7c507aa40d0cab32250954f0b9d6c1e
Homepage: https://cran.r-project.org/package=HelpersMG
Description: CRAN Package 'HelpersMG' (Tools for Environmental Analyses, Ecotoxicology and Various RFunctions)
 Contains miscellaneous functions useful for managing 'NetCDF' files (see
 <https://en.wikipedia.org/wiki/NetCDF>), get moon phase and time for sun
 rise and fall, tide level, analyse and reconstruct periodic time series of
 temperature with irregular sinusoidal pattern, show scales and wind rose in
 plot with change of color of text, Metropolis-Hastings algorithm for
 Bayesian MCMC analysis, plot graphs or boxplot with error bars, search files
 in disk by there names or their content, read the contents of all files from
 a folder at one time.

Package: r-cran-helsinki
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 587
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-purrr, r-cran-xml2, r-cran-dplyr, r-cran-sf, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-remotes, r-cran-ggplot2, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-helsinki_1.0.6-1.ca2004.1_all.deb
Size: 376888
MD5sum: bad6e1aff450b5e64ba31a31d6c67fc7
SHA1: 57fa585f83d4fdac7c3d92d7a83a15b81e9f4062
SHA256: 1282c24e3064417a7d19859a4ad0b5e5391204ce9be1946f71235a1a2da27576
SHA512: 12d65e52f661c73c97590ce8d188facf53e2c143963a0ac48db6326e58eda64b47c3d59d71375c7bef9eb5ab9bb66bb16914bfb06c0cb2df6af40cc6eb11ebbd
Homepage: https://cran.r-project.org/package=helsinki
Description: CRAN Package 'helsinki' (R Tools for Helsinki Open Data)
 Tools for accessing various open data APIs in the Helsinki region in
 Finland. Current data sources include the Service Map API, Linked Events
 API, and Helsinki Region Infoshare statistics API.

Package: r-cran-hemispher
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-autothresholdr, r-cran-dplyr, r-cran-jpeg, r-cran-dismo, r-cran-scales, r-cran-sf, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-hemispher_1.1.6-1.ca2004.1_all.deb
Size: 4112796
MD5sum: cd1a7d98d954a1e987bd9088a71c352f
SHA1: f3013a77b6bbc604a0cf1bba4564a582f9307e2c
SHA256: 48f28a559a04a415cb287ea5a5028c80f1769c581aba429233dd069d23a13b18
SHA512: 9bd15c6c1951d8776edcb4805b6e8b718220354b371a7639503610d0bc51c896bfa2361cd42979bd265cef3007d442fc1c19e160b624187e6b3ebdce37403a68
Homepage: https://cran.r-project.org/package=hemispheR
Description: CRAN Package 'hemispheR' (Processing Hemispherical Canopy Images)
 Import and classify canopy fish-eye images, estimate angular gap fraction
 and derive canopy attributes like leaf area index and openness.  Additional
 information is provided in the study by Chianucci F., Macek M. (2023)
 <doi:10.1016/j.agrformet.2023.109470>.

Package: r-cran-heplots
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2994
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-car, r-cran-mass, r-cran-magrittr, r-cran-purrr, r-cran-rgl, r-cran-tibble
Suggests: r-cran-candisc, r-cran-cardata, r-cran-effects, r-cran-reshape, r-cran-gplots, r-cran-nlme, r-cran-lattice, r-cran-reshape2, r-cran-corrgram, r-cran-animation, r-cran-mvinfluence, r-cran-knitr, r-cran-litedown, r-cran-rmarkdown, r-cran-markdown, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-bookdown, r-cran-patchwork, r-cran-tinytable, r-cran-glue, r-cran-here, r-cran-sleuth2, r-cran-rrcov, r-cran-archdata, r-cran-qqtest, r-cran-vcdextra, r-cran-r.rsp, r-cran-kernsmooth, r-cran-aplpack, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-heplots_1.7.5-1.ca2004.1_all.deb
Size: 1983248
MD5sum: 3941acdeeba2881b43951d3f99cdbdac
SHA1: 5ee8e5a77ecc2d7631899387b837ceee37687244
SHA256: 1a24bd1e358a6a5863fd7ae84a33d4bd5455603d27a6571658626aa4835eb399
SHA512: 65c82f50b6d2f36bca73e77362e87fc1ca4fd1f16e59d34994b700ab54b76baf8477123553cc35625356676e1a1e80cd85cc22b862013677f8785f35a13613ea
Homepage: https://cran.r-project.org/package=heplots
Description: CRAN Package 'heplots' (Visualizing Hypothesis Tests in Multivariate Linear Models)
 Provides HE plot and other functions for visualizing hypothesis tests in
 multivariate linear models. HE plots represent sums-of-squares-and-products
 matrices for linear hypotheses and for error using ellipses (in two
 dimensions) and ellipsoids (in three dimensions). It also provides other
 tools for analysis and graphical display of the models such as robust
 methods and homogeneity of variance covariance matrices.  The related
 'candisc' package provides visualizations in a reduced-rank canonical
 discriminant space when there are more than a few response variables.

Package: r-cran-hera
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-evaluate, r-cran-glue, r-cran-irdisplay, r-cran-jsonlite, r-cran-r6, r-cran-repr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-hera_0.1.1-1.ca2004.1_all.deb
Size: 161060
MD5sum: b4f0224eab8de76cb757cfd7f5178974
SHA1: 3bc0e7f86b9daf8b8f85887897a7c636dfbabf61
SHA256: 3f90d7f0d61bbda2315d838eb61c9a1c28684177885f0f4959d6e39fe5c53670
SHA512: 81d2201d672b6bc64f28cbf4a070dbddf44eb6224812ab09cf72fa6dc5bb7f23185d45cdda5938d54be5c7fc66be029e64e8685b3b2566988abe7d3219a6bd22
Homepage: https://cran.r-project.org/package=hera
Description: CRAN Package 'hera' (Companion to the 'xeus-r' 'jupyter' Kernel)
 Set of R functions to be coupled with the 'xeus-r' 'jupyter' kernel in order
 to drive execution of code in notebook input cells, how R objects are to be
 displayed in output cells, and handle two way communication with the front
 end through comms.

Package: r-cran-here
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rprojroot
Suggests: r-cran-conflicted, r-cran-covr, r-cran-fs, r-cran-knitr, r-cran-palmerpenguins, r-cran-plyr, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-testthat, r-cran-uuid, r-cran-withr
Filename: pool/dists/focal/main/r-cran-here_1.0.1-1.ca2004.1_all.deb
Size: 46084
MD5sum: ad303e25d6ce50cfb69819a1ec86cc81
SHA1: 52d7741697ad1745f484bc7c0963f6e2920dfe83
SHA256: e8f3f1d86c2e6ac0458ebfd8107b3f55158e47da619b19235d4d75e208c969f1
SHA512: 7592c10e256dd67f8066bd245103ecfc4586991da1272841339aca65850f88d60c89a690c788c40c0bf658aee54271769df42836930309dfd61e5162fa0b97d5
Homepage: https://cran.r-project.org/package=here
Description: CRAN Package 'here' (A Simpler Way to Find Your Files)
 Constructs paths to your project's files.  Declare the relative path of a
 file within your project with 'i_am()'.  Use the 'here()' function as a
 drop-in replacement for 'file.path()', it will always locate the files
 relative to your project root.

Package: r-cran-herer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-curl, r-cran-data.table, r-cran-flexpolyline, r-cran-jsonlite, r-cran-sf, r-cran-stringr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-knitr, r-cran-leafpop, r-cran-lwgeom, r-cran-mapview, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-herer_1.1.0-1.ca2004.1_all.deb
Size: 859416
MD5sum: e528c725fbc74a190d8f4e38923dbc0f
SHA1: 51cf70c50f636fadab0610141eb9fb8f62c052bd
SHA256: fa819a692fdbdd6d1b7d9ae8085bf43b4d3c76e8a16e12a7c160760872e8c207
SHA512: fccdced613f81d9cb86a9ad93cd2fa05509498255e9db2af3cb87c26c0bd358392836b3e4f6c6ef879fd94311a5378aebaf3fc322387de2c27b7a481645c33ae
Homepage: https://cran.r-project.org/package=hereR
Description: CRAN Package 'hereR' ('sf'-Based Interface to the 'HERE' REST APIs)
 Interface to the 'HERE' REST APIs
 <https://developer.here.com/develop/rest-apis>: (1) geocode and autosuggest
 addresses or reverse geocode POIs using the 'Geocoder' API; (2) route
 directions, travel distance or time matrices and isolines using the
 'Routing', 'Matrix Routing' and 'Isoline Routing' APIs; (3) request
 real-time traffic flow and incident information from the 'Traffic' API; (4)
 find request public transport connections and nearby stations from the
 'Public Transit' API; (5) request intermodal routes using the 'Intermodal
 Routing' API; (6) get weather forecasts, reports on current weather
 conditions, astronomical information and alerts at a specific location from
 the 'Destination Weather' API.  Locations, routes and isolines are returned
 as 'sf' objects.

Package: r-cran-heritability
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1382
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-heritability_1.4-1.ca2004.1_all.deb
Size: 1372992
MD5sum: 63c21188444509e45385251018100898
SHA1: 436a118bee892dac58d22540752179055ba54e91
SHA256: 0a818992a2cda05f14c4447457a2cf95b03b99f04e10ade18146a55aff95777b
SHA512: f05d61f0734822228936f7a8d9f7c8f5244dab97f49e8cf0898002553862414247b8e07e080df3e0d2586189f64704be139ab019045e017fdc5b566ef82df897
Homepage: https://cran.r-project.org/package=heritability
Description: CRAN Package 'heritability' (Marker-Based Estimation of Heritability Using Individual Plantor Plot Data)
 Implements marker-based estimation of heritability when observations on
 genetically identical replicates are available. These can be either
 observations on individual plants or plot-level data in a field trial.
 Heritability can then be estimated using a mixed model for the individual
 plant or plot data. For comparison, also mixed-model based estimation using
 genotypic means and estimation of repeatability with ANOVA are implemented.
 For illustration the package contains several datasets for the model species
 Arabidopsis thaliana.

Package: r-cran-heritewas
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-heritewas_0.2.0-1.ca2004.1_all.deb
Size: 1095844
MD5sum: a07208c15ce88287e2457bc5c37c8865
SHA1: 21e3c8de4752fdf832586170f3af84c9141013aa
SHA256: b4feeee389631585c32e541c6fd86762335e5b2be33d8362e339fdf088c288b2
SHA512: ba475377c73dd4f4d8d7a27d59f7ca8097c8f3aaccc6e8c5c58fa7635563203a3d168947258e6b34daa7ad1b7b56c9b7445d45f2bd846a15468f2fcc3f1fdaa5
Homepage: https://cran.r-project.org/package=heritEWAS
Description: CRAN Package 'heritEWAS' (Identify Heritable Methylation Marks)
 A novel statistical method based on expectation maximisation (EM) algorithm
 and genetic segregation analysis to identify heritable DNA methylation
 marks. Details about the method can be found in Joo et al. (2018)
 <doi:10.1038/s41467-018-03058-6>.

Package: r-cran-heritseq
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2711
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cplm, r-bioc-deseq2, r-cran-lme4, r-cran-pbapply, r-cran-tweedie, r-cran-mass, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-cran-heritseq_1.0.2-1.ca2004.1_all.deb
Size: 2735852
MD5sum: 813934ec5fc8b6776fd2246848584765
SHA1: 8f81174bf050f8810a2dcec19a73f41b4db45812
SHA256: 461815abdf1ac9d5150b5aa1888430a996cdda368df355858842cac210b5d6b6
SHA512: 52ca46fa277d2fba5fdd9ad074a678264b12fa7baf055e7ad0455084d746c1293413f2f57532690fcbcd5c6ce546336e2007a660a8e61eec82da5fdbcfdc69fb
Homepage: https://cran.r-project.org/package=HeritSeq
Description: CRAN Package 'HeritSeq' (Heritability of Gene Expression for Next-Generation Sequencing)
 Statistical framework to analyze heritability of gene expression based on
 next-generation sequencing data and simulating sequencing reads.  Variance
 partition coefficients (VPC) are computed using linear mixed effects and
 generalized linear mixed effects models. Compound Poisson and negative
 binomial models are included. Reference: Rudra, Pratyaydipta, et al. "Model
 based heritability scores for high-throughput sequencing data." BMC
 bioinformatics 18.1 (2017): 143.

Package: r-cran-hermite
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik
Filename: pool/dists/focal/main/r-cran-hermite_1.1.2-1.ca2004.1_all.deb
Size: 72196
MD5sum: 1b8acb95ed046ef9047aabd307cdc0b3
SHA1: 7849adbcc63d41391b3d6413c20bec3c7b394c6d
SHA256: c6f8397a90b5d4508bf35d58f9bbf48ca7447d823edbc735b834ec1500de10f4
SHA512: 82b37d2e13ba02aaa67f35ec198fdeffea8d52afc9a3cbe1cfc5a8cf09f4bbbfd46f9662b4ad8b0e5d1b75d8864ea8988f0f123f286ad712156c96369001fc1b
Homepage: https://cran.r-project.org/package=hermite
Description: CRAN Package 'hermite' (Generalized Hermite Distribution)
 Probability functions and other utilities for the generalized Hermite
 distribution.

Package: r-cran-hero
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2659
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-optimx, r-cran-pbapply, r-cran-sf, r-cran-sp, r-cran-fields
Suggests: r-cran-autoimage, r-cran-devtools, r-cran-fda, r-cran-igraph, r-cran-testthat, r-cran-future.apply, r-cran-rmpi
Filename: pool/dists/focal/main/r-cran-hero_0.6-1.ca2004.1_all.deb
Size: 2606024
MD5sum: 0d8d6c9ddf10a2369c9b58d3cec822a3
SHA1: 4eebad669d5e962f483a3ef7f8a18f3e41ff53ae
SHA256: 89acd343b4109f533b42e97f6c17bde215cc149d3f8ccbbec1445ffea2e6b381
SHA512: 98138fe956e3e3dd875f1ec0748b0b37bdcd5e8e8f91c5fba333263165453d8aa157c70d7508f9040586cd130c47be8daa01252e5cefa0dc44ce09e38b4dee77
Homepage: https://cran.r-project.org/package=hero
Description: CRAN Package 'hero' (Spatio-Temporal (Hero) Sandwich Smoother)
 An implementation of the sandwich smoother proposed in Fast Bivariate
 Penalized Splines by Xiao et al. (2012) <doi:10.1111/rssb.12007>.  A hero is
 a specific type of sandwich.  Dictionary.com (2018)
 <https://www.dictionary.com> describes a hero as: a large sandwich, usually
 consisting of a small loaf of bread or long roll cut in half lengthwise and
 containing a variety of ingredients, as meat, cheese, lettuce, and tomatoes.
 Also implements the spatio-temporal sandwich smoother of French and Kokoszka
 (2021) <doi:10.1016/j.spasta.2020.100413>.

Package: r-cran-hessrna
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-bioc-deseq2, r-cran-ssizerna, r-cran-rdpack
Suggests: r-cran-car, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hessrna_1.0.1-1.ca2004.1_all.deb
Size: 38032
MD5sum: 71fcd3349c041c7bb0bc82adb7fb94c9
SHA1: 58a7466b398a60606716976f0af37316ccb2e47f
SHA256: b1d1c091dc239019e3c23c6cbe1eaa98a588ec215ce64ea371b7d695dc284c3a
SHA512: 35b928208454ec523ba9358672774e98e2b3d0d996198f673988e57301bc6a4884c88ea8fa98baced1d3acb61bc38daa73ef88f2c6a170443e6aeca5f544d27d
Homepage: https://cran.r-project.org/package=HEssRNA
Description: CRAN Package 'HEssRNA' (Heritability-Based Estimation of Sample Size for RNA-Seq Data)
 Provides tools for estimating sample sizes primarily based on heritability,
 while also considering additional parameters such as statistical power and
 fold change. The package normalizes heritability values according to
 trait-specific heritability and classification to enhance accuracy in sample
 size estimation.

Package: r-cran-heterfunctionaldata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-heterfunctionaldata_0.1.0-1.ca2004.1_all.deb
Size: 62460
MD5sum: 47d48d57811577df51989a2bb2877326
SHA1: b7daf383a92f5d2d6739a75f6e7f6edc140b9f55
SHA256: 571a6f0e8cd7b5985be46953840005926e1c0e8a3b6a9778d15676807120e90c
SHA512: 7c81f26c789219034a0e1e1f5efedf47c604782722c52913ef5227c9fe0ba2d11ad86c43e9527af80a0f32efd8bbef41f1c3c1cbfed7e3b90decc11bc62e2e74
Homepage: https://cran.r-project.org/package=HeterFunctionalData
Description: CRAN Package 'HeterFunctionalData' (Test of No Main and/or Interaction Effects in Functional Data)
 Distribution free heteroscedastic tests for functional data.  The following
 tests are included in this package: test of no main treatment or contrast
 effect and no simple treatment effect given in Wang, Higgins, and Blasi
 (2010) <doi:10.1016/j.spl.2009.11.016>, no main time effect, and no
 interaction effect based on original observations given in Wang and Akritas
 (2010a) <doi:10.1080/10485250903171621> and tests based on ranks given in
 Wang and Akritas (2010b) <doi:10.1016/j.jmva.2010.03.012>.

Package: r-cran-heterocop
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-igraph, r-cran-matrixcalc, r-cran-foreach, r-cran-stringr, r-cran-dosnow, r-cran-huge
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-heterocop_1.0.0-1.ca2004.1_all.deb
Size: 110412
MD5sum: 79be5e23d305dfc9d4b045ce12cd3b5e
SHA1: ac068ac7a6bba407c05b5e263493d5da95d186d4
SHA256: 47703723f173b795605b90fcfb3027df59449163b389d1421afb3e685e69a1df
SHA512: cd9511d157cb026b1353c924ce1b4412cc54aa61a474ba7c9d6ac88fb32108d184d0de2090339c30cebb0b2aa9f042e28d99b179633cf716e4000fb810979ae0
Homepage: https://cran.r-project.org/package=heterocop
Description: CRAN Package 'heterocop' (Semi-Parametric Estimation with Gaussian Copula)
 A method for estimating the correlation matrix of the Gaussian copula from
 the observed data. This package also contains a penalized estimation of the
 corresponding precision matrix, and enables to generate random vectors that
 are distributed according to a Gaussian copula.

Package: r-cran-heteroggm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-mass, r-cran-huge
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-heteroggm_1.0.1-1.ca2004.1_all.deb
Size: 310300
MD5sum: 7bb31cfb235cf124e117c74926278deb
SHA1: df93122b3a63b4d2e39c18378876f8e5a8e217c3
SHA256: 207e0dd2f8e6c208b1bb040c7f7dba69fd278bb274e5a87f0c8a9e929e1cb637
SHA512: 704538294298b44b307d8a3f5b8360d4173173829b0c22efdc9b3a24607dce6222af7c3d3afe37d466c41255d0ed679d4b7d27452401afa4a2d27003adcabdca
Homepage: https://cran.r-project.org/package=HeteroGGM
Description: CRAN Package 'HeteroGGM' (Gaussian Graphical Model-Based Heterogeneity Analysis)
 The goal of this package is to user-friendly realizing Gaussian graphical
 model-based heterogeneity analysis.  Recently, several Gaussian graphical
 model-based heterogeneity analysis techniques have been developed. A common
 methodological limitation is that the number of subgroups is assumed to be
 known a priori, which is not realistic. In a very recent study (Ren et al.,
 2022), a novel approach based on the penalized fusion technique is developed
 to fully data-dependently determine the number and structure of subgroups in
 Gaussian graphical model-based heterogeneity analysis. It opens the door for
 utilizing the Gaussian graphical model technique in more practical settings.
 Beyond Ren et al. (2022), more estimations and functions are added, so that
 the package is self-contained and more comprehensive and can provide ``more
 direct'' insights to practitioners (with the visualization function).
 Reference: Ren, M., Zhang S., Zhang Q. and Ma S. (2022). Gaussian Graphical
 Model-based Heterogeneity Analysis via Penalized Fusion.  Biometrics, 78
 (2), 524-535.

Package: r-cran-heterometa
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-mathjaxr
Filename: pool/dists/focal/main/r-cran-heterometa_0.3-1.ca2004.1_all.deb
Size: 29800
MD5sum: 84e27f5920ee1e46beedcdb02258010e
SHA1: b2e01f3a8775bfe566ff328b346597fdd2f40981
SHA256: 8580ec4d72011c1d5743b385f826fed36d8c38f7fdebb0521a4b57a2ce3a1177
SHA512: cbcc504b0c37de509dcbdf230f3f71dc991626f9e49131335a85715727f6a81c2bde3ac963cc72ee2314535567d006ed8adc04a3a14e7ba77efa560ee9aa563c
Homepage: https://cran.r-project.org/package=heterometa
Description: CRAN Package 'heterometa' (Convert Various Meta-Analysis Heterogeneity Measures)
 Published meta-analyses routinely present one of the measures of
 heterogeneity introduced in Higgins and Thompson (2002)
 <doi:10.1002/sim.1186>. For critiquing articles it is often better to
 convert to another of those measures. Some conversions are provided here and
 confidence intervals are also available.

Package: r-cran-heteromixgm
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-tmvtnorm, r-cran-glasso, r-cran-bdgraph, r-cran-mass
Filename: pool/dists/focal/main/r-cran-heteromixgm_2.0.2-1.ca2004.1_all.deb
Size: 110976
MD5sum: 83f8cf8a8d891e719c0bd2632f525b72
SHA1: 4ba4182cbd0bab3a435a61e506b05b5c96411dfb
SHA256: 05502540136090101603478b67f7236a1b24502c457ad5a591c7ec8bd2ec19af
SHA512: a9b1ce0d1de5d63e57e9861b489b388523782b9677d201bcd8da523868c0fb05c52b295c1468d8dc5ebe45976eb1a98c81ef73700fdb3f749f1381f2ae2efbdf
Homepage: https://cran.r-project.org/package=heteromixgm
Description: CRAN Package 'heteromixgm' (Copula Graphical Models for Heterogeneous Mixed Data)
 A multi-core R package that allows for the statistical modeling of
 multi-group multivariate mixed data using Gaussian graphical models.
 Combining the Gaussian copula framework with the fused graphical lasso
 penalty, the 'heteromixgm' package can handle a wide variety of datasets
 found in various sciences. The package also includes an option to perform
 model selection using the AIC, BIC and EBIC information criteria, a function
 that plots partial correlation graphs based on the selected precision
 matrices, as well as simulate mixed heterogeneous data for exploratory or
 simulation purposes and one multi-group multivariate mixed agricultural
 dataset pertaining to maize yields. The package implements the
 methodological developments found in Hermes et al. (2024)
 <doi:10.1080/10618600.2023.2289545>.

Package: r-cran-hetools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-polynom
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hetools_1.0.0-1.ca2004.1_all.deb
Size: 16008
MD5sum: c4cfc61c1be532db8c0c79eaf45a0cfb
SHA1: 6d1aa36e6b28f128d6f958d2a7c3b077b1d41cd7
SHA256: 79ad5cd6b1ef67fae5ef684d61ae495126dc261cf77f00bd2a2041a642cc1d59
SHA512: a3f9b7d345dcda4f6a121f0b377355fc588677bd321944f3d7b2c45f865493cf83feb622775fbba81dd0fe5f79fc810297caf351f3fcf7f6850eb864ae2569a3
Homepage: https://cran.r-project.org/package=HEtools
Description: CRAN Package 'HEtools' (Homomorphic Encryption Polynomials)
 Homomorphic encryption (Brakerski and Vaikuntanathan (2014)
 <doi:10.1137/120868669>) using Ring Learning with Errors (Lyubashevsky et
 al. (2012) <https://eprint.iacr.org/2012/230>) is a form of Learning with
 Errors (Regev (2005) <doi:10.1145/1060590.1060603>) using polynomial rings
 over finite fields. Functions to generate the required polynomials (using
 'polynom'), with various distributions of coefficients are provided.
 Additionally, functions to generate and take coefficient modulo are
 provided.

Package: r-cran-hetop
Architecture: all
Version: 0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2jags
Filename: pool/dists/focal/main/r-cran-hetop_0.2-6-1.ca2004.1_all.deb
Size: 74008
MD5sum: 985a7e1b4906c5e9a351c37d3fa7228b
SHA1: 3f466d03b2b9acc288003c3dcad9a93e21b6f206
SHA256: 7852593121a0aa30c4113ed2c24384e224f59d22cbf2b156edc1e8e64542a8a4
SHA512: 257e7321da176ec2a527e5dee0b656110fa1e1d5c5dd5c5183438bf7bbe9fe690fd78a248fce98f677e63c03b06dd24a9ec4680a9e74fa5ad870d016c0fcbf5d
Homepage: https://cran.r-project.org/package=HETOP
Description: CRAN Package 'HETOP' (MLE and Bayesian Estimation of Heteroskedastic Ordered Probit(HETOP) Model)
 Provides functions for maximum likelihood and Bayesian estimation of the
 Heteroskedastic Ordered Probit (HETOP) model, using methods described in
 Lockwood, Castellano and Shear (2018) <doi:10.3102/1076998618795124> and
 Reardon, Shear, Castellano and Ho (2017) <doi:10.3102/1076998616666279>.  It
 also provides a general function to compute the triple-goal estimators of
 Shen and Louis (1998) <doi:10.1111/1467-9868.00135>.

Package: r-cran-hetseq
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cowplot, r-cran-doparallel, r-cran-foreach, r-cran-doubleml, r-cran-e1071, r-cran-igraph, r-cran-ggplot2, r-cran-ggrastr, r-cran-ggrepel, r-cran-grandr, r-cran-lpsolve, r-cran-mlr3, r-cran-proc, r-cran-reshape2, r-cran-scales, r-cran-seurat
Filename: pool/dists/focal/main/r-cran-hetseq_0.1.0-1.ca2004.1_all.deb
Size: 74188
MD5sum: 74cffb0281607421e3fc0452f84d7d7d
SHA1: ba2df8e93c5c5aa229a1874353b16f74632e3ca1
SHA256: 90a4ef030b3e2541492937de2d0650fc0be6d1bcb5f0e39c4c2c5c7f7c58984e
SHA512: 6d114cc0fc1079a4f2979fb0bdfd587a8136191fee5eb1d7d5d47499ded5c348ef451ebf86e4b5dae636df3222bfc30e2eb9de20d6cabdd5c15afced96651745
Homepage: https://cran.r-project.org/package=HetSeq
Description: CRAN Package 'HetSeq' (Identifying Modulators of Cellular Responses LeveragingIntercellular Heterogeneity)
 Cellular responses to perturbations are highly heterogeneous and depend
 largely on the initial state of cells. Connecting post-perturbation cells
 via cellular trajectories to untreated cells (e.g. by leveraging metabolic
 labeling information) enables exploitation of intercellular heterogeneity as
 a combined knock-down and overexpression screen to identify pathway
 modulators, termed Heterogeneity-seq (see 'Berg et al'
 <doi:10.1101/2024.10.28.620481>).  This package contains functions to
 generate cellular trajectories based on scSLAM-seq (single-cell,
 thiol-(SH)-linked alkylation of RNA for metabolic labelling sequencing) time
 courses, functions to identify pathway modulators and to visualize the
 results.

Package: r-cran-hetsurr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsurrogate
Filename: pool/dists/focal/main/r-cran-hetsurr_1.0-1.ca2004.1_all.deb
Size: 119908
MD5sum: 6280ad75610c5e1a7cb92c0633d6c540
SHA1: a51e3345772941401586e20f55bdd4d82734d1ed
SHA256: e617659d64bae4a0bcd732b51340c9dfac71bf1093482095e06fd052b08d0d05
SHA512: ba00716e4a416e55eb26149f789769c4ef11f333c29b980b59acc71cb9b166be8d312be5a977adf3c6f205a078857b9668f48829d6c3a9e6778d3c4de34ee677
Homepage: https://cran.r-project.org/package=hetsurr
Description: CRAN Package 'hetsurr' (Assessing Heterogeneity in the Utility of a Surrogate Marker)
 Provides a function to assess and test for heterogeneity in the utility of a
 surrogate marker with respect to a baseline covariate. The main function can
 be used for either a continuous or discrete baseline covariate. More details
 will be available in the future in: Parast, L., Cai, T., Tian L (2021).
 "Testing for Heterogeneity in the Utility of a Surrogate Marker."
 Biometrics, In press.

Package: r-cran-hetsurrsurv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsurrogate, r-cran-mass, r-cran-groc
Filename: pool/dists/focal/main/r-cran-hetsurrsurv_1.0-1.ca2004.1_all.deb
Size: 129860
MD5sum: a877222eb15fa22949f8df08aae1e614
SHA1: 8b700ef064a8e46981ae7d17cec9d8abd1393aec
SHA256: cdb9ad484969b423737d53e55635e46dd8109724975f0461901421b08113d5b4
SHA512: 41979f46b3bebacad08b3095cfcd4e4f05d9df787e038bb3273a531ecae1565b89926d90e8de777316d202dc804aeb388dd13cc3e1b5f53005296b0ca2562e9c
Homepage: https://cran.r-project.org/package=hetsurrSurv
Description: CRAN Package 'hetsurrSurv' (Assessing Heterogeneity in Surrogacy Using Censored Data)
 Provides functions to assess and test for heterogeneity in the utility of a
 surrogate marker with respect to a baseline covariate using censored
 (survival data), and to test for heterogeneity across multiple time points.
 More details are available in Parast et al (2024) <doi:10.1002/sim.10122>.

Package: r-cran-hett
Architecture: all
Version: 0.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-hett_0.3-3-1.ca2004.1_all.deb
Size: 65512
MD5sum: 040a57fa51e557b9150620ba348c9373
SHA1: 22d7448cbd7e0e956c64433f7f8bbc1bbbfc5c53
SHA256: cd13b84c51eb6c0b55e3ae6d788729e8c72a8b87f7594137b40abb9395424d7c
SHA512: d28238f258324d2ac4f1ce8be1a4f5639627e8c25a1b4b7efe3f675d2e48089250dfae7fa0e1eec9ce9c80c5780595f2f227173e88d0dbd5f17148b1d7fcb04d
Homepage: https://cran.r-project.org/package=hett
Description: CRAN Package 'hett' (Heteroscedastic t-Regression)
 Functions for the fitting and summarizing of heteroscedastic t-regression.

Package: r-cran-hettest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hettest_1.0-1.ca2004.1_all.deb
Size: 75476
MD5sum: f38862dce74eddbc9dc454a7fbdb3886
SHA1: 6bf2daaacfeaf7be9af204a0bc2287c7b36deb1b
SHA256: 84756a17b5aa14a1051a121eb3e2ac89c51a711a54d62be336e15b431488935a
SHA512: a1861a0f5c2bcbd411f0f5324828d7f9cb4c480e0e3aa937c18a75641244b8d6c55e1136afd818fa90cf0a460c67ef10645e8475c9256f8f588eb51d34a19b61
Homepage: https://cran.r-project.org/package=hettest
Description: CRAN Package 'hettest' (Testing for a Treatment Effect Using a Heterogeneous SurrogateMarker)
 Tests for a treatment effect using surrogate marker information accounting
 for heterogeneity in the utility of the surrogate. Details are described in
 Parast et al (2022) <arXiv:2209.08315>.

Package: r-cran-hettreatreg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hettreatreg_0.1.0-1.ca2004.1_all.deb
Size: 225288
MD5sum: 8936478ccf7f77c920285cd94cbbd657
SHA1: 86947accf23bcaeb0c4d71caa7e9ee2e79c64ba2
SHA256: 056dc7c3c7f88c4c3c99476c63f4135239a6fc5878858f037597f4984e86cc7b
SHA512: 7bf7a235c16c4b0144ca154d9e114cb3183e302e1ec19c757e95be2a670b8a539ef6a902aa9ee2b3aa47539732ced5544737e42427d2fcd3173e9e06527eb052
Homepage: https://cran.r-project.org/package=hettreatreg
Description: CRAN Package 'hettreatreg' (Heterogeneous Treatment Effects in Regression Analysis)
 Computes diagnostics for linear regression when treatment effects are
 heterogeneous.  The output of 'hettreatreg' represents ordinary least
 squares (OLS) estimates of the effect of a binary treatment as a weighted
 average of the average treatment effect on the treated (ATT) and the average
 treatment effect on the untreated (ATU).  The program estimates the OLS
 weights on these parameters, computes the associated model diagnostics, and
 reports the implicit OLS estimate of the average treatment effect (ATE).
 See Sloczynski (2019),
 <http://people.brandeis.edu/~tslocz/Sloczynski_paper_regression.pdf>.

Package: r-cran-hettx
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quantreg, r-cran-plyr, r-cran-mvtnorm, r-cran-mass, r-cran-foreach, r-cran-doparallel, r-cran-moments, r-cran-formula.tools, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hettx_0.1.3-1.ca2004.1_all.deb
Size: 556336
MD5sum: 511a05fbd207e8c39959c120496a607c
SHA1: 5219c1c22cf7c5b0238feec45049bebb6ec003fc
SHA256: 8f823c0f990bab59241086cf889c08be0e61afae6548bb31fe05b5914f8f42fe
SHA512: 43bd35202fa7fb32682f8514c3580e893dcf56c768ec1cea7e4122024f364e46bfea7d154ecffa32aa39a81b4ea2bf896599669007c43b0bd581846129c0f8e0
Homepage: https://cran.r-project.org/package=hettx
Description: CRAN Package 'hettx' (Fisherian and Neymanian Methods for Detecting and MeasuringTreatment Effect Variation)
 Implements methods developed by Ding, Feller, and Miratrix (2016)
 <doi:10.1111/rssb.12124> <arXiv:1412.5000>, and Ding, Feller, and Miratrix
 (2018) <doi:10.1080/01621459.2017.1407322> <arXiv:1605.06566> for testing
 whether there is unexplained variation in treatment effects across
 observations, and for characterizing the extent of the explained and
 unexplained variation in treatment effects. The package includes wrapper
 functions implementing the proposed methods, as well as helper functions for
 analyzing and visualizing the results of the test.

Package: r-cran-hetu
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-checkmate
Suggests: r-cran-cairo, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-hetu_1.1.0-1.ca2004.1_all.deb
Size: 121924
MD5sum: 0c27a2d5a254eb94942f9bc3285da641
SHA1: e4de0c1d0dfb761ae105e99647fc4e7100b43923
SHA256: 9cda0d4c33a15e266b9855bddb65a9593a62942351a175d566fcb6e950d222d1
SHA512: ef8ac09efd77d341bbd99271804517c487468883b3b5ef8f5e07452cce05fd7b5d1671997033b843321abd5e6e3d22ef809596762bfcfab27c5647057a3a994b
Homepage: https://cran.r-project.org/package=hetu
Description: CRAN Package 'hetu' (Structural Handling of Finnish Personal Identity Codes)
 Structural handling of Finnish identity codes (natural persons and
 organizations); extract information, check ID validity and diagnostics.

Package: r-cran-heuristica
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Suggests: r-cran-devtools, r-cran-ggplot2, r-cran-glmnet, r-cran-knitr, r-cran-plyr, r-cran-reshape, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-heuristica_1.0.3-1.ca2004.1_all.deb
Size: 327340
MD5sum: 92965037f4d14f470715fce6fb847d75
SHA1: 0f9d3c841f720787abd9832d7c61816735b6f13b
SHA256: d131e7ea41d765eb77038dc90ccdb75e56a5c050ec371cb008ed194b050607db
SHA512: 9a398bfff7b47d83979d1c38340a9f4239ba9fc7180ae73794f74016cf106a6d7073f26599c1e3ad95981574979cb42a440a982ddafb333e72fa7644dbb3e0bb
Homepage: https://cran.r-project.org/package=heuristica
Description: CRAN Package 'heuristica' (Heuristics Including Take the Best and Unit-Weight Linear)
 Implements various heuristics like Take The Best and unit-weight linear,
 which do two-alternative choice: which of two objects will have a higher
 criterion?  Also offers functions to assess performance, e.g. percent
 correct across all row pairs in a data set and finding row pairs where
 models disagree.  New models can be added by implementing a fit and predict
 function-- see vignette.  Take The Best was first described in: Gigerenzer,
 G.  & Goldstein, D. G. (1996) <doi:10.1037/0033-295X.103.4.650>.  All of
 these heuristics were run on many data sets and analyzed in: Gigerenzer, G.,
 Todd, P. M., & the ABC Group (1999).  <ISBN:978-0195143812>.

Package: r-cran-hexfinder
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-hexsticker, r-cran-magick, r-cran-glue, r-cran-jsonlite, r-cran-pkgsearch, r-cran-purrr, r-cran-stringr, r-cran-httr2
Suggests: r-cran-httptest2, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-svglite, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hexfinder_0.8.2-1.ca2004.1_all.deb
Size: 66356
MD5sum: 1c2bf53281666ba10b1bc5113151d960
SHA1: 3e2859827dd56aaa8c6898e4ce2cbe04d06f3bcf
SHA256: 4f6985dfe8e1ffdfbd9671815ab58c4148e02abffd5a6f700a26fe55df7dce52
SHA512: c0546c28cceb0d20d462fc732a52dbfda8751908dde1a049a9dcb8b55aa92ff28f59acdb90f0097e65723e81bbfefc605e0181116647efb5ca46c11091cd330b
Homepage: https://cran.r-project.org/package=hexFinder
Description: CRAN Package 'hexFinder' (Find Hex Logos for CRAN Packages)
 Scavenge the web for possible hex logos for CRAN packages.

Package: r-cran-hexfont
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4604
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bittermelon
Suggests: r-cran-knitr, r-cran-oblicubes, r-cran-rmarkdown, r-cran-testthat, r-cran-unicode
Filename: pool/dists/focal/main/r-cran-hexfont_1.0.0-1.ca2004.1_all.deb
Size: 4209560
MD5sum: bc711f2cccaef32081a666866acab6b9
SHA1: 1b9a542974770d54ff2f43d8264b76c1691962a8
SHA256: 65b7a3a9dcc4315f6ddd974c6124f9d8b118880e4914f76b97507d95c142eeef
SHA512: de3d564554c3c5bee70bc123d4b2de9f78319a28cc6ebec82f07e3747cabc36bcdc9041cb0b6e4764545d6dcf608953ba62c3333444e43c13df42d17ae1366bc
Homepage: https://cran.r-project.org/package=hexfont
Description: CRAN Package 'hexfont' ('GNU Unifont' Hex Fonts)
 Contains most of the hex font files from the 'GNU Unifont Project'
 <https://unifoundry.com/unifont/> compressed by 'xz'.  'GNU Unifont' is a
 duospaced bitmap font that attempts to cover all the official Unicode glyphs
 plus several of the artificial scripts in the '(Under-)ConScript Unicode
 Registry' <https://www.kreativekorp.com/ucsur/>.  Provides a convenience
 function for loading in several of them at the same time as a 'bittermelon'
 bitmap font object for easy rendering of the glyphs in an 'R' terminal or
 graphics device.

Package: r-cran-hexsticker
Architecture: all
Version: 0.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1568
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggimage, r-cran-ggplot2, r-cran-hexbin, r-cran-showtext, r-cran-sysfonts
Suggests: r-cran-magick
Filename: pool/dists/focal/main/r-cran-hexsticker_0.4.9-1.ca2004.1_all.deb
Size: 924868
MD5sum: c6dfacd9f1648a233a015e5c009543d1
SHA1: 6d9147e0ce46aabe137aa7a9ae89a6c651585813
SHA256: ab8967fd07eb2179365cf578d3c73c85a063f706976b7f14c0bfebe218d59886
SHA512: 6cef539a30a3d03234344f0ee81d6ff8e69d5f4da8be2495a3889169de67184b908c771f072fcbab69b1e27b9458b1a235ec868559447db1320ace344cc01251
Homepage: https://cran.r-project.org/package=hexSticker
Description: CRAN Package 'hexSticker' (Create Hexagon Sticker in R)
 Helper functions for creating reproducible hexagon sticker purely in R.

Package: r-cran-hextractor
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-hextractor_1.4-1.ca2004.1_all.deb
Size: 104600
MD5sum: 5e54f3aa0306b7c26a841e9e5004f7a9
SHA1: 0411cab6bfc911d600b11deb231aee75e0ebb7c6
SHA256: c34a60ecdbd968d638739639d6198735de898aca0bf89bf416511e31e481ddec
SHA512: 2d6384d3fda147109f9677a12ce0a1b77d60830618db56e011dbaaed6aa319bbc95c4d516b109a5f4fe7e692e272728ea625f6b153c72f2b3108b9211dc58b2e
Homepage: https://cran.r-project.org/package=HextractoR
Description: CRAN Package 'HextractoR' (Integrated Tool for Hairping Extraction of RNA Sequences)
 Simple and integrated tool that automatically extracts and folds all hairpin
 sequences from raw genome-wide data. It predicts the secondary structure of
 several overlapped segments, with longer length than the mean length of
 sequences of interest for the species under processing, ensuring that no one
 is lost nor inappropriately cut.

Package: r-cran-hextri
Architecture: all
Version: 0.9.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1886
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hexbin, r-cran-fnn
Suggests: r-cran-lattice, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hextri_0.9.17-1.ca2004.1_all.deb
Size: 1365536
MD5sum: 2666195086d7e2c9d59e8dc28c3598cc
SHA1: 945ecb82ffedb0c25ed555aa22f38d2a0c3c8688
SHA256: fbf2afb77ec49de1e0d0a7520ee1b2d133e4e8d80507a10c4c33f447bf35819c
SHA512: ce9211f75cf381b0321f24a84a2602afa199ca52f3f821bd907e65b3e32fab9bbbca107e95ac715a7df7db624a6ddf71433d630302cae1da96d4c786f980883c
Homepage: https://cran.r-project.org/package=hextri
Description: CRAN Package 'hextri' (Hexbin Plots with Triangles)
 Display hexagonally binned scatterplots for multi-class data, using coloured
 triangles to show class proportions.

Package: r-cran-hexview
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hexview_0.3-4-1.ca2004.1_all.deb
Size: 95772
MD5sum: 755e19cb16348d44cc68dc38ff94be35
SHA1: 9a1b8049a4d6cbc7ee7634bf5123d8aa938d4d2c
SHA256: 1a281c94e3a70ca39ae1d42f4136cea460e9c3f600b7484dcb657081a2096acc
SHA512: 4b9c3d3d38873545ca31d9831b2472766bcd8842e10e32f5c6e9fed114e2871dc60455fecf408cdfa5bc7513d773b66db9702d9f07f8b1c0120d8cf7ec4f3cdd
Homepage: https://cran.r-project.org/package=hexView
Description: CRAN Package 'hexView' (Viewing Binary Files)
 Functions to view files in raw binary form like in a hex editor.  Additional
 functions to specify and read arbitrary binary formats.

Package: r-cran-hfhub
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-filelock, r-cran-fs, r-cran-cli, r-cran-withr, r-cran-curl, r-cran-glue, r-cran-urltools, r-cran-rlang
Suggests: r-cran-testthat, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-hfhub_0.1.1-1.ca2004.1_all.deb
Size: 31148
MD5sum: a50738e15105a4407a154697d3c4351c
SHA1: c28b718aa212c9985cce049b8c30cea900900dcc
SHA256: d4cc2188ce760b7870dbeaa6d4073398aa82b4318c29f5da5dd3510bdd41c712
SHA512: b9530b2c9e1823c1b5b19f4cace3520aa302195e507ddfe5d3aa82be30ac9a277bfaa55a20fa8fda9708cd42a007c736d06e2f5a48d4face04dea478aba2c49b
Homepage: https://cran.r-project.org/package=hfhub
Description: CRAN Package 'hfhub' (Hugging Face Hub Interface)
 Provides functionality to download and cache files from 'Hugging Face Hub'
 <https://huggingface.co/models>.  Uses the same caching structure so files
 can be shared between different client libraries.

Package: r-cran-hflights
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3628
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hflights_0.1-1.ca2004.1_all.deb
Size: 3462028
MD5sum: c9d8bbc0efdbf165804f1e84a652cb73
SHA1: 657214b00f7d08028e7f2cbcb2737babb40b318b
SHA256: e99044e04c4d4009b7410f9eadfdfbf0b532a039efdde221fea086b5b79da523
SHA512: 439101b491bcfb2a57c31acb5c2aa86b93d3a700121f6104892e602431fa8ed698326cbf698012d91b64b3d00e0500249a055ad5403e0f5204bbb014500cf15b
Homepage: https://cran.r-project.org/package=hflights
Description: CRAN Package 'hflights' (Flights that departed Houston in 2011)
 A data only package containing commercial domestic flights that departed
 Houston (IAH and HOU) in 2011.

Package: r-cran-hfr
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quadprog, r-cran-dendextend, r-cran-rcolorbrewer, r-cran-corpcor
Suggests: r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hfr_0.7.1-1.ca2004.1_all.deb
Size: 81820
MD5sum: c75a96e496302367c4da5caf069827dd
SHA1: cf567a89429ad0983f2e4603f5d7670beff696ac
SHA256: 5e85312a6d702a9711830fbd2635bd3cf2539a71649ed55375dcd9c29907a3fa
SHA512: 66c19d2280ce94cb62a2e1b4ede939e322e497ef6baeebf4e93f958ffc37aa82e8b618b70266f3659282e8bfa7738fc70ccdf0befb1e82659d4e035d67a186ca
Homepage: https://cran.r-project.org/package=hfr
Description: CRAN Package 'hfr' (Estimate Hierarchical Feature Regression Models)
 Provides functions for the estimation, plotting, predicting and
 cross-validation of hierarchical feature regression models as described in
 Pfitzinger (2024). Cluster Regularization via a Hierarchical Feature
 Regression. Econometrics and Statistics (in press).
 <doi:10.1016/j.ecosta.2024.01.003>.

Package: r-cran-hgdmr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2708
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-readr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-hgdmr_1.0.0-1.ca2004.1_all.deb
Size: 1840284
MD5sum: c7c7b20644f497f1448145640c2e0a25
SHA1: 07dec1bd5abb9921ba2008365a5f65fdf020aae1
SHA256: 3debe4270770009ef782c58659985030abac42c3efa338071906c2f3bb6600f9
SHA512: 4f76d167882d594a904c15dc086e9696a498686a05c6a066e192192fcc7dd319d1ab092eb71f12c1ddcf639346314053b411909e696ba03a2038d625e0a89c77
Homepage: https://cran.r-project.org/package=HGDMr
Description: CRAN Package 'HGDMr' (Hysteretic and Gatekeeping Depressions Model)
 Implementation of the Hysteretic and Gatekeeping Depressions Model (HGDM)
 which calculates variable connected/contributing areas and resulting
 discharge volumes in prairie basins dominated by depressions ("slough" or
 "potholes"). The small depressions are combined into a single "meta"
 depression which explicitly models the hysteresis between the storage of
 water and the connected/contributing areas of the depressions. The largest
 (greater than 5% of the total depressional area) depression (if it exists)
 is represented separately to model its gatekeeping, i.e. the blocking of
 upstream flows until it is filled. The methodolgy is described in detail in
 Shook and Pomeroy (2025, <doi:10.1016/j.jhydrol.2025.132821>).

Package: r-cran-hglasso
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glasso, r-cran-mvtnorm, r-cran-igraph, r-cran-fields
Filename: pool/dists/focal/main/r-cran-hglasso_1.3-1.ca2004.1_all.deb
Size: 102636
MD5sum: a0f549a4ee1924d685e8dc3006b7dc2e
SHA1: 885e95636435b84a6920550a011210221921d913
SHA256: d86156d66d04dbd68ec9e33f02b5085ff12e90cb0aec22377690354f6150a3a0
SHA512: 627d53c590a32387905761034f963570d0ea6bd702c7ff4e600083e4b8b81bcc928bce80b23c2a740864b44986549be115ffa81f60293aedc14f8d56fdfc73cf
Homepage: https://cran.r-project.org/package=hglasso
Description: CRAN Package 'hglasso' (Learning Graphical Models with Hubs)
 Implements the hub graphical lasso and hub covariance graph proposal by Tan,
 KM., London, P., Mohan, K., Lee, S-I., Fazel, M., and Witten, D. (2014).
 Learning graphical models with hubs. Journal of Machine Learning Research
 15(Oct):3297-3331.

Package: r-cran-hglm.data
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4964
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-sp
Filename: pool/dists/focal/main/r-cran-hglm.data_1.0-1-1.ca2004.1_all.deb
Size: 5052284
MD5sum: 434343072de704ba9b3219948cc539d4
SHA1: e0c549c6118b22bc35351897ec4b20ae328cf60d
SHA256: 8761b07d7900e1586364821161ca52c3404610ad1432b96eaae4298989b9a079
SHA512: 1df9609efb9170f30300b42750e74bb51f499b9f48d26de80c87e573f969caf5404fbebadd2e2d7f04c21e0f38ac5dae62a174915b38353f9bfcb1e06c69f8ca
Homepage: https://cran.r-project.org/package=hglm.data
Description: CRAN Package 'hglm.data' (Data for the 'hglm' Package)
 This data-only package was created for distributing data used in the
 examples of the 'hglm' package.

Package: r-cran-hglm
Architecture: all
Version: 2.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-hglm.data
Filename: pool/dists/focal/main/r-cran-hglm_2.2-1-1.ca2004.1_all.deb
Size: 518740
MD5sum: a3017d939e22ba6e3731a40a51f893be
SHA1: c2328c95e671aab910b98581584a89ede5da4978
SHA256: 69aed3ee8f780eb19eb238ef8cc00d65e2b61dd08d48713dbafd3f3e388f22e3
SHA512: a332316d95dc8af7f5ae309b7f6d40c89d3bacd09b6d1f4da0d958c6b10b0d670e288e56f3062de63a3f2c3074cf8e102a460eaf91f8a4890db569d8fa69d80c
Homepage: https://cran.r-project.org/package=hglm
Description: CRAN Package 'hglm' (Hierarchical Generalized Linear Models)
 Implemented here are procedures for fitting hierarchical generalized linear
 models (HGLM). It can be used for linear mixed models and generalized linear
 mixed models with random effects for a variety of links and a variety of
 distributions for both the outcomes and the random effects. Fixed effects
 can also be fitted in the dispersion part of the mean model. As statistical
 models, HGLMs were initially developed by Lee and Nelder (1996)
 <https://www.jstor.org/stable/2346105?seq=1>. We provide an implementation
 (Ronnegard, Alam and Shen 2010)
 <https://journal.r-project.org/archive/2010-2/RJournal_2010-2_Roennegaard~et~al.pdf>
 following Lee, Nelder and Pawitan (2006) <ISBN: 9781420011340> with
 algorithms extended for spatial modeling (Alam, Ronnegard and Shen 2015)
 <https://journal.r-project.org/archive/2015/RJ-2015-017/RJ-2015-017.pdf>.

Package: r-cran-hgmnd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-genscore
Filename: pool/dists/focal/main/r-cran-hgmnd_0.1.0-1.ca2004.1_all.deb
Size: 193768
MD5sum: 017eccdbd3c4e5c7309020913801ad22
SHA1: b35016ccdcd668920717966970c47ef26477b999
SHA256: d8876a63f2381ee979d902599dd878d66d557c399da9fcea4b485aba08d5f7e9
SHA512: 79617a752f8ac2b9079cd968919d17756a724248f73ce7356b0ba4fda383f2b8b2b6377939e841796d272ceb9412a0febc984fc43df398aa478bcc9c1e563845
Homepage: https://cran.r-project.org/package=HGMND
Description: CRAN Package 'HGMND' (Heterogeneous Graphical Model for Non-Negative Data)
 Graphical model is an informative and powerful tool to explore the
 conditional dependence relationships among variables. The traditional
 Gaussian graphical model and its extensions either have a Gaussian
 assumption on the data distribution or assume the data are homogeneous.
 However, there are data with complex distributions violating these two
 assumptions. For example, the air pollutant concentration records are
 non-negative and, hence, non-Gaussian. Moreover, due to climate changes,
 distributions of these concentration records in different months of a year
 can be far different, which means it is uncertain whether datasets from
 different months are homogeneous. Methods with a Gaussian or homogeneous
 assumption may incorrectly model the conditional dependence relationships
 among variables. Therefore, we propose a heterogeneous graphical model for
 non-negative data (HGMND) to simultaneously cluster multiple datasets and
 estimate the conditional dependence matrix of variables from a non-Gaussian
 and non-negative exponential family in each cluster.

Package: r-cran-hgnc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1022
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-memoise, r-cran-prettyunits, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-lubridate, r-cran-spelling, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-hgnc_0.3.0-1.ca2004.1_all.deb
Size: 935760
MD5sum: d070d631510727819494f12c8600730f
SHA1: ce7b3af6dd2b33c0ff8ce5c0c95c3ee4b33c0c97
SHA256: c6485cfd54017e9d209e2efa4a821ee184dc3ebefd5b598529418ad2053287f5
SHA512: 4adfb970acbb1d84739e8b07d8e2441a008a7370a087e4bcc06e123d8174d6b7450e27c9b7dd7f60cc691954a55227b6e65e48a8da1a9e8aebf7e9bd10e96474
Homepage: https://cran.r-project.org/package=hgnc
Description: CRAN Package 'hgnc' (Import Human Gene Nomenclature)
 A set of routines to quickly download and import the HUGO Gene Nomenclature
 Committee (HGNC) data set on mapping of gene symbols to gene entries in
 other genomic databases or resources.

Package: r-cran-hgnchelper
Architecture: all
Version: 0.8.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-splitstackshape
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-hgnchelper_0.8.15-1.ca2004.1_all.deb
Size: 2327560
MD5sum: 32708868d19bf358e050787da155b153
SHA1: 4f63b1ed8612ec569052bed7584d1f923c20d5ee
SHA256: 9d7f2b286f7e681ac5c4d603b5566746764f0b731f18ca10955185c4d287fed8
SHA512: 89eed335fbca5c0893c4f3b237d5e6c404f59ee9643b8cd4722d253f6f7d28dc8bfb857edd3d4919ac03bcd14ee18d85bb42c67ff606069d208ec643b52099bb
Homepage: https://cran.r-project.org/package=HGNChelper
Description: CRAN Package 'HGNChelper' (Identify and Correct Invalid HGNC Human Gene Symbols and MGIMouse Gene Symbols)
 Contains functions for identifying and correcting HGNC human gene symbols
 and MGI mouse gene symbols which have been converted to date format by
 Excel, withdrawn, or aliased.  Also contains functions for reversibly
 converting between HGNC symbols and valid R names.

Package: r-cran-hgraph
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hgraph_0.1.0-1.ca2004.1_all.deb
Size: 131192
MD5sum: 547d2ee1bfbfa90d9ad8f32fbdd126c2
SHA1: 5c368ea53a8d069d89e50201b2e82e773eec17c5
SHA256: d0103fc306157e1e91a1c2efa1390ab4b71b69427df2e8ae4d67886a20cbe6ab
SHA512: 9560fbd5ba7b045c4e38529aa2108b076e0b972cabc27963e75f3906038bb3dffddb671708f01f2ce532488a6dbab41f480d0628b16358ddacc0f02248e258cb
Homepage: https://cran.r-project.org/package=HGraph
Description: CRAN Package 'HGraph' (Use Graph Structure to Travel)
 It is used to travel graphs, by using DFS and BFS to get the path from node
 to each leaf node.  Depth first traversal(DFS) is a recursive algorithm for
 searching all the vertices of a graph or tree data structure.  Traversal
 means visiting all the nodes of a graph.  Breadth first traversal(BFS)
 algorithm is used to search a tree or graph data structure for a node that
 meets a set of criteria.  It starts at the tree’s root or graph and
 searches/visits all nodes at the current depth level before moving on to the
 nodes at the next depth level.  Also, it provides the matrix which is
 reachable between each node.  Implement reference about Baruch Awerbuch
 (1985) <doi:10.1016/0020-0190(85)90083-3>.

Package: r-cran-hgsl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hgsl_1.0.0-1.ca2004.1_all.deb
Size: 13508
MD5sum: 01b10c1cedfc31fe9329fbe9740f199f
SHA1: 17c2ad8204a498fddde7eeec53790d17997ec971
SHA256: c9ac729d2b8da23c33706108bf9cc85a294caa02454ea9aaba97e125dea68148
SHA512: c65f63f45c694f3a46ad4d220d1923b4e206cc5a7a29e74693b22f8bd33bb7a89883b4e5e4fe622bbc14fb65f28a79d56f5570b83e150bd98878dfc0860e434a
Homepage: https://cran.r-project.org/package=HGSL
Description: CRAN Package 'HGSL' (Heterogeneous Group Square-Root Lasso)
 Estimation of high-dimensional multi-response regression with heterogeneous
 noises under Heterogeneous group square-root Lasso penalty. For details see:
 Ren, Z., Kang, Y., Fan, Y. and Lv, J. (2018)<arXiv:1606.03803>.

Package: r-cran-hgutils
Architecture: all
Version: 0.2.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hgutils_0.2.19-1.ca2004.1_all.deb
Size: 171328
MD5sum: c03c5badd8bf324c3f68a6234afa20fc
SHA1: e830ed36cb6e8c0e778abf416ca4c5bda9eeafb9
SHA256: aade596f8766c7ec2a437fd313f148f3c6b3ef74ef9ace41f666888a52b6fa0d
SHA512: 95e42a2c9704504bfa912b62779cf16ce3822e6ad90c0a47c199d22df036beaa21601e8362dbb573caec5249a59ac13457be55eaba18b712a3e66956ab5f2d9e
Homepage: https://cran.r-project.org/package=hgutils
Description: CRAN Package 'hgutils' (Collection of Utility Functions)
 A handy collection of utility functions designed to aid in package
 development, plotting and scientific research.  Package development
 functionalities includes among others tools such as cross-referencing
 package imports with the description file, analysis of redundant package
 imports, editing of the description file and the creation of package badges
 for GitHub.  Some of the other functionalities include automatic package
 installation and loading, plotting points without overlap, creating nice
 breaks for plots, overview tables and many more handy utility functions.

Package: r-cran-hh
Architecture: all
Version: 3.1-53-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2770
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-multcomp, r-cran-gridextra, r-cran-reshape2, r-cran-leaps, r-cran-vcd, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-shiny, r-cran-hmisc, r-cran-abind, r-cran-rmpfr
Suggests: r-cran-mvtnorm, r-cran-car, r-cran-rcmdr, r-cran-rcmdrplugin.hh, r-cran-microplot, r-cran-mass
Filename: pool/dists/focal/main/r-cran-hh_3.1-53-1.ca2004.1_all.deb
Size: 1762644
MD5sum: 2c484efa755a30490756aacbeb8b122a
SHA1: d28086b4d71456b7e810114353818c15f926bc43
SHA256: 7c73508b1dadac5c057a60b96f1b6944a22c6c91ec2efe99ea0fe7dfe1580174
SHA512: 5ecb1703839c2b06fc2a258e8b3a83fd729d4e481978befc05fa18c0127929701193851902bf2faeab8b06aedbb2a4b98c02519e3e0834b092150d0916bf26d1
Homepage: https://cran.r-project.org/package=HH
Description: CRAN Package 'HH' (Statistical Analysis and Data Display: Heiberger and Holland)
 Support software for Statistical Analysis and Data Display (Second Edition,
 Springer, ISBN 978-1-4939-2121-8, 2015) and (First Edition, Springer, ISBN
 0-387-40270-5, 2004) by Richard M. Heiberger and Burt Holland.  This
 contemporary presentation of statistical methods features extensive use of
 graphical displays for exploring data and for displaying the analysis.  The
 second edition includes redesigned graphics and additional chapters. The
 authors emphasize how to construct and interpret graphs, discuss principles
 of graphical design, and show how accompanying traditional tabular results
 are used to confirm the visual impressions derived directly from the graphs.
 Many of the graphical formats are novel and appear here for the first time
 in print.  All chapters have exercises.  All functions introduced in the
 book are in the package.  R code for all examples, both graphs and tables,
 in the book is included in the scripts directory of the package.

Package: r-cran-hhcartr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1789
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-hash, r-cran-matrix, r-cran-diagrammer, r-cran-ggplot2, r-cran-diagrammersvg, r-cran-captioner, r-cran-rsvg, r-cran-bookdown
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hhcartr_1.0.0-1.ca2004.1_all.deb
Size: 1623476
MD5sum: 0ad553e8d198e2c5a8f45ff471d06b94
SHA1: 797488ee7a2133cf7f1315309d638a0b683b28f7
SHA256: ab7bf3725973801ecbb9a44d0e73c5d945008737edc68fe8cbd2508958268230
SHA512: fc73f5a676c237cc8dfc5f2a816c5997d45138fed8161520f96a946d3b40233c7ca771f500c0afae837b9a16b21a73045bdaf3994971c72498a9388f22fd3d07
Homepage: https://cran.r-project.org/package=hhcartr
Description: CRAN Package 'hhcartr' (HHCART(G) - A Reflected Feature Space for CART)
 An implementation of the HHCART-G algorithm as described in the paper -
 Wickramarachchi C, Robertson B, Reale M, Price C, Brown J (2019). 'A
 reflected feature space for CART.' Australian & New Zealand Journal of
 Statistics, 61, 380–391. <doi:10.1111/anzs.12275>.

Package: r-cran-hhh4contacts
Architecture: all
Version: 0.13.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-surveillance, r-cran-sp
Suggests: r-cran-mass, r-cran-lattice, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-hhh4contacts_0.13.4-1.ca2004.1_all.deb
Size: 341008
MD5sum: f8320c55b7f1f42dc34d2c21a624148e
SHA1: 158e4538a42f3d5393294e224cd50e8d25b4138b
SHA256: a317f8517fb816835d8c7f1470334bfd8fdca12c46bf0d4ec7d65f40f866dd07
SHA512: ec0873c072d0915e602a301b45cb97a0223891709751ae255cbf7ca661c2aeceeb926fdc472dc0275be7db78a2696c1a6ec4248d19e17831346b2e1f5241e054
Homepage: https://cran.r-project.org/package=hhh4contacts
Description: CRAN Package 'hhh4contacts' (Age-Structured Spatio-Temporal Models for Infectious DiseaseCounts)
 Meyer and Held (2017) <doi:10.1093/biostatistics/kxw051> present an
 age-structured spatio-temporal model for infectious disease counts. The
 approach is illustrated in a case study on norovirus gastroenteritis in
 Berlin, 2011-2015, by age group, city district and week, using additional
 contact data from the POLYMOD survey. This package contains the data and
 code to reproduce the results from the paper, see 'demo("hhh4contacts")'.

Package: r-cran-hhi
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-hhi_1.2.0-1.ca2004.1_all.deb
Size: 15084
MD5sum: 40825e677b5fcfc209ca5655612db3ee
SHA1: 2dfe7653d949244d8298daf15b436fdb5d50f478
SHA256: bf3bd8c4f8b232e49a40861e6697ff54d7fdc86db385707483be54fd97cd6ee4
SHA512: c9ef13e5a737b479997cbac57101ebea990c5a917ae64c64367fcadf70ec1d09e7f0a47a52f7dc156f08fc4c0195a518ecad1c01fd8f22e0d59feebe72db8ec7
Homepage: https://cran.r-project.org/package=hhi
Description: CRAN Package 'hhi' (Calculate and Visualize the Herfindahl-Hirschman Index)
 Based on the aggregated shares retained by individual firms or actors within
 a market or space, the Herfindahl-Hirschman Index (HHI) measures the level
 of concentration in a space. This package allows for intuitive and
 straightforward computation of HHI scores, requiring placement of objects of
 interest directly into the function. The package also includes a plot
 function for quick visual display of an HHI time series using any measure of
 time (year, quarter, month, etc.). For usage, please cite the Journal of
 Open Source Software paper associated with the package: Waggoner, Philip D.
 (2018) <doi:10.21105/joss.00828>.

Package: r-cran-hhmr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-rlang, r-cran-ggplot2, r-cran-patchwork, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hhmr_0.0.1-1.ca2004.1_all.deb
Size: 364784
MD5sum: 17ca2516ba62a1bf318287f898cedb66
SHA1: 5e3a1d6489adfc645c285758f87afc07184e6286
SHA256: 7323f65ad22289563e4ccca43111cb0bc3b3a7d808305e6d80a92228650ed82b
SHA512: 4853f600bd68d7a1a19b82e0e258fc75b976c44a169f28f902f23bd25522fe190b05b1d84b95b545de537bed416a6ca63ff1db6ce381265dd54fad0e3399de26
Homepage: https://cran.r-project.org/package=hhmR
Description: CRAN Package 'hhmR' (Hierarchical Heatmaps)
 Allows users to create high-quality heatmaps from labelled, hierarchical
 data. Specifically, for data with a two-level hierarchical structure, it
 will produce a heatmap where each row and column represents a category at
 the lower level. These rows and columns are then grouped by the higher-level
 group each category belongs to, with the names for each category and groups
 shown in the margins. While other packages (e.g. 'dendextend') allow heatmap
 rows and columns to be arranged by groups only, 'hhmR' also allows the
 labelling of the data at both the category and group level.

Package: r-cran-hhp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-matrix, r-bioc-fmrs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hhp_1.0.0-1.ca2004.1_all.deb
Size: 507984
MD5sum: 3db0e3e45ac0b0edbfb776b89dd87e8e
SHA1: cc1fd459dbaf81077fc6e68d3fbf49cbe31d8e00
SHA256: 90f5e70fe6df8577f8521337f57922246d1e080eb7e355e6c4942d619f1736d3
SHA512: d3ec7aafbb37129cf56db64040586a9d8d2af353a9e9711692269d3d5c7d8933bd908324731a9153d07df2457f98686638d47d7a3cf6c7dbe88ad01bf7e88af9
Homepage: https://cran.r-project.org/package=HhP
Description: CRAN Package 'HhP' (Hierarchical Heterogeneity Analysis via Penalization)
 In medical research, supervised heterogeneity analysis has important
 implications. Assume that there are two types of features. Using both types
 of features, our goal is to conduct the first supervised heterogeneity
 analysis that satisfies a hierarchical structure. That is, the first type of
 features defines a rough structure, and the second type defines a nested and
 more refined structure. A penalization approach is developed, which has been
 motivated by but differs significantly from penalized fusion and sparse
 group penalization.  Reference: Ren, M., Zhang, Q., Zhang, S., Zhong, T.,
 Huang, J. & Ma, S. (2022). "Hierarchical cancer heterogeneity analysis based
 on histopathological imaging features". Biometrics,
 <doi:10.1111/biom.13426>.

Package: r-cran-hht
Architecture: all
Version: 2.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-emd, r-cran-fields
Filename: pool/dists/focal/main/r-cran-hht_2.1.6-1.ca2004.1_all.deb
Size: 171984
MD5sum: 2622c146d465493f4c9e6df4bdd8df72
SHA1: 57523f5fa4f98daf140b2179e0f10526ea854a42
SHA256: 30a814d4d928d277ebbd82ec0fd7bf784b49d2246c791057e5e59ccfdab7f1b1
SHA512: 50165be1d16cf55cb272ceaa38240e577e5a36f476cbd54905bc457606b421c9936b2292f5f182bb6b15d26f171e64d937ba9a0b509a2e4617076ba521f0a384
Homepage: https://cran.r-project.org/package=hht
Description: CRAN Package 'hht' (The Hilbert-Huang Transform: Tools and Methods)
 Builds on the EMD package to provide additional tools for empirical mode
 decomposition (EMD) and Hilbert spectral analysis. It also implements the
 ensemble empirical decomposition (EEMD) and the complete ensemble empirical
 mode decomposition (CEEMD) methods to avoid mode mixing and intermittency
 problems found in EMD analysis.  The package comes with several plotting
 methods that can be used to view intrinsic mode functions, the HHT spectrum,
 and the Fourier spectrum.

Package: r-cran-hicfeat
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-genomicranges, r-cran-matrix, r-cran-glmnet, r-bioc-rtracklayer, r-bioc-iranges, r-bioc-genomeinfodb
Filename: pool/dists/focal/main/r-cran-hicfeat_1.4-1.ca2004.1_all.deb
Size: 141708
MD5sum: bcd3958c607ea7e5d114f6b1c54b15cc
SHA1: 187b93e5b8c41bb73f0c631ca48e5aadee01ba93
SHA256: f3c6f0580dda9a6e37fb687fa6febe636783a57aa0b00a9fd41ea496fabddf52
SHA512: af421664e537d9aa7790e37f940e4b57879bb8d112fd90a1f628d28a3e1ea16e2795abf2b865b25188b44d574fa3b66efa90cf3ec77a14399e471457c03fb1d2
Homepage: https://cran.r-project.org/package=HiCfeat
Description: CRAN Package 'HiCfeat' (Multiple Logistic Regression for 3D Chromatin Domain BorderAnalysis)
 We propose a multiple logistic regression model to assess the influences of
 genomic features such as DNA-binding proteins and functional elements on
 topological domain borders.

Package: r-cran-hicocietyexample
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7800
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hicocietyexample_1.0.0-1.ca2004.1_all.deb
Size: 7636160
MD5sum: 3bdcca55a33ddacb8cb0f2f4ea90f0b3
SHA1: 9807bd33e134b4d9d64ef1bf759e7625fe302551
SHA256: f7e50e8b378e56d1892cdcfc3050d06811a4b656023caeddfd4e61e424c710bb
SHA512: 8db4c5f14b09a31c0cc6d8d824ecb085a6765643b868d9a400bebe13aa862378e647344de2ed7541707ceaa1ed467031bf50c6233c04caec4740c02a3e5417a6
Homepage: https://cran.r-project.org/package=HiCocietyExample
Description: CRAN Package 'HiCocietyExample' (Example HiC and Two 'HiCociety' Outputs for Demonstration andTesting)
 Provides an example HiC dataset and two examples of 'HiCociety' outputs from
 a function named hic2community().  The data are intended for demonstration
 purposes only and kept small enough to be distributed via CRAN.

Package: r-cran-hicp
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-restatapi, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hicp_0.6.1-1.ca2004.1_all.deb
Size: 162952
MD5sum: f902c69273f43534a58f3214197cbcb6
SHA1: 7de9d39295d91704880d4530b586b92ce11c61de
SHA256: 7d5da9736bc005fb8e79044fddcf6acfedaa488d283e2377ef51dff0c4fdec6f
SHA512: 428b1fadd402b119d6391d43c47adde7aac6d7e19b65533ec9f1ca4c2ae226ba6977a3ffcd9b5513c0386e82a8533c8e71784c2ddb7687a43125ada14926d747
Homepage: https://cran.r-project.org/package=hicp
Description: CRAN Package 'hicp' (Harmonised Index of Consumer Prices)
 The Harmonised Index of Consumer Prices (HICP) is the key economic figure to
 measure inflation in the euro area.  The methodology underlying the HICP is
 documented in the HICP Methodological Manual
 (<https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/w/ks-gq-24-003>).
 Based on the manual, this package provides functions to access and work with
 HICP data from Eurostat's public database
 (<https://ec.europa.eu/eurostat/data/database>).

Package: r-cran-hiddenf
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hiddenf_2.0-1.ca2004.1_all.deb
Size: 79360
MD5sum: 98f46398e8f8ab897f6c3b6fc49a8e69
SHA1: 6733ccdf450d0da5f429b72975f101af08906937
SHA256: 94d80a0799eb4ce635c8850ad14fa9d9139f0ac476280c592836552e83467e14
SHA512: 7afe4c5ff883f92f2027acd56cc213ac943eae0697abbf156133b360ad143451bcae5eb602f1d46cb39cb4ae045bc6e5e43d2e67d03e61d18f40159da2794483
Homepage: https://cran.r-project.org/package=hiddenf
Description: CRAN Package 'hiddenf' (The All-Configurations, Maximum-Interaction F-Test for HiddenAdditivity)
 Computes the ACMIF test and Bonferroni-adjusted p-value of interaction in
 two-factor studies.  Produces corresponding interaction plot and analysis of
 variance tables and p-values from several other tests of non-additivity.

Package: r-cran-hidecan
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3221
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggrepel, r-cran-purrr, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-vroom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hidecan_1.1.0-1.ca2004.1_all.deb
Size: 2855396
MD5sum: 5d5f683b3ad46e0b444e65db76d999ad
SHA1: fb7aae0ed75d45515bc3c2afea7683c892f5bc5b
SHA256: 0a93578c1d7589d3db93f4126768bf9c1b3f7e993547740054951dd6617a0e93
SHA512: f583fde90a573af9b886cfd39cfd22535960adc40d1c99c9db32c002b03bb5d6ad79dcbc41c49c819493f3780f10f8531170b953652952fad03eda57bc358844
Homepage: https://cran.r-project.org/package=hidecan
Description: CRAN Package 'hidecan' (Create HIDECAN Plots for Visualising Genome-Wide AssociationStudies and Differential Expression Results)
 Generates HIDECAN plots that summarise and combine the results of
 genome-wide association studies (GWAS) and transcriptomics differential
 expression analyses (DE), along with manually curated candidate genes of
 interest. The HIDECAN plot is presented in Angelin-Bonnet et al. (2023)
 (currently in review).

Package: r-cran-hidradenitis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hidradenitis_1.0.1-1.ca2004.1_all.deb
Size: 33020
MD5sum: 0c2d357478b3c6dac56bfde65eb0d1e5
SHA1: 0509e491637705a1d20d074d60ed63e7027e8fd8
SHA256: 9441ea248113bd22482ee68a2476812048e4b63ce179817c729fec5072a5072f
SHA512: 61ef2364fe07a9346907700e34b583e3894a1a3959e4eef4dc84ca17e9851830d2443226401e47d0354700c3e88534b2e05b79668e0593dfd509f87985af57af
Homepage: https://cran.r-project.org/package=hidradenitis
Description: CRAN Package 'hidradenitis' (Calculate Clinical Scores for Hidradenitis Suppurativa (HS), aDermatologic Disease)
 Calculate clinical scores for hidradenitis suppurativa (HS), a dermatologic
 disease.  The scores are typically used for evaluation of efficacy in
 clinical trials.  The scores are not commonly used in clinical practice.
 The specific scores implemented are Hidradenitis Suppurativa Clinical
 Response (HiSCR) (Kimball, et al. (2015) <doi:10.1111/jdv.13216>),
 Hidradenitis Suppurativa Area and Severity Index Revised (HASI-R) (Goldfarb,
 et al. (2020) <doi:10.1111/bjd.19565>), hidradenitis suppurativa Physician
 Global Assessment (HS PGA) (Marzano, et al. (2020) <doi:10.1111/jdv.16328>),
 and the International Hidradenitis Suppurativa Severity Score System (IHS4)
 (Zouboulis, et al. (2017) <doi:10.1111/bjd.15748>).

Package: r-cran-hierarchicalds
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4005
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm, r-cran-mvtnorm, r-cran-matrix, r-cran-coda, r-cran-xtable, r-cran-mc2d, r-cran-ggplot2, r-cran-rgeos, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-hierarchicalds_3.0-1.ca2004.1_all.deb
Size: 3799540
MD5sum: 368c17ce365e5a2ab0282d193700a489
SHA1: 76ab2e4eecb655c74a44061330ff6c96f3eea171
SHA256: a92ea09732737e26050942a724659d0f4ba36ed8e0db9b46b7f5a7b95cc55098
SHA512: 948c485e42a53d2597b26bdf2ccc3f6512096265cf58f9af002cd3987074f095b9910d89ffee752e03b8e5177d86cc18fef9df00c1b7b948e9d08510e7d35a9b
Homepage: https://cran.r-project.org/package=hierarchicalDS
Description: CRAN Package 'hierarchicalDS' (Functions to Perform Hierarchical Analysis of Distance SamplingData)
 Functions for performing hierarchical analysis of distance sampling data,
 with ability to use an areal spatial ICAR model on top of user supplied
 covariates to get at variation in abundance intensity.  The detection model
 can be specified as a function of observer and individual covariates, where
 a parametric model is supposed for the population level distribution of
 covariate values.  The model uses data augmentation and a reversible jump
 MCMC algorithm to sample animals that were never observed.  Also included is
 the ability to include point independence (increasing correlation multiple
 observer's observations as a function of distance, with independence assumed
 for distance=0 or first distance bin), as well as the ability to model
 species misclassification rates using a multinomial logit formulation on
 data from double observers.  There is also the the ability to include zero
 inflation, but this is only recommended for cases where sample sizes and
 spatial coverage of the survey are high.

Package: r-cran-hierbase
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-hdi, r-cran-sihr
Suggests: r-cran-knitr, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hierbase_0.1.2-1.ca2004.1_all.deb
Size: 274420
MD5sum: 73fa6637f07b7fa709b11d52bdb80351
SHA1: eca9034c98b3a0522309b6d7c8bc9bab8d9a1849
SHA256: 7145e59df95e9d81c15485195cb9b0e2372aa2bca400197455cfd02256ab5182
SHA512: 6c22c4f80af61eaefad7a92c7254bff4d311317c9008fcbd5f5a3165355481ec72b0f5c41e471b51ae65cb41460e43ffa5f9083c5f3253a46e0afc21ea669a2f
Homepage: https://cran.r-project.org/package=hierbase
Description: CRAN Package 'hierbase' (Enabling Hierarchical Multiple Testing)
 Implementation of hierarchical inference based on Meinshausen (2008).
 Hierarchical testing of variable importance. Biometrika, 95(2), 265-278 and
 Renaux, Buzdugan, Kalisch, and Bühlmann, (2020). Hierarchical inference for
 genome-wide association studies: a view on methodology with software.
 Computational Statistics, 35(1), 1-40.  The R-package 'hierbase' offers
 tools to perform hierarchical inference for one or multiple data sets based
 on ready-to-use (group) test functions or alternatively a user specified
 (group) test function.  The procedure is based on a hierarchical multiple
 testing correction and controls the family-wise error rate (FWER).  The
 functions can easily be run in parallel.  Hierarchical inference can be
 applied to (low- or) high-dimensional data sets to find significant groups
 or single variables (depending on the signal strength and correlation
 structure) in a data-driven and automated procedure. Possible applications
 can for example be found in statistical genetics and statistical genomics.

Package: r-cran-hierbipartite
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1936
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-irlba
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hierbipartite_0.0.2-1.ca2004.1_all.deb
Size: 1845788
MD5sum: 3e2a1b768081e877aa178a32a0adff3b
SHA1: 567308bd931fc4e887cfe7754648d1ba1983ca67
SHA256: 0e3ad5c741c08041d851634faf5b2f21bd1c560e4587ee6806b9c1531cf521e4
SHA512: 14d8745528a5551c0809ff5c45a17ba2fe815eb042364d3cb90702f0d85ec3e6e344a1b5476cc6166d7905331159cb6fd5fe4c5733d3a8684256702b92fe40ae
Homepage: https://cran.r-project.org/package=hierBipartite
Description: CRAN Package 'hierBipartite' (Bipartite Graph-Based Hierarchical Clustering)
 Bipartite graph-based hierarchical clustering, developed for pharmacogenomic
 datasets and datasets sharing the same data structure. The goal is to
 construct a hierarchical clustering of groups of samples based on
 association patterns between two sets of variables. In the context of
 pharmacogenomic datasets, the samples are cell lines, and the two sets of
 variables are typically expression levels and drug sensitivity values.  For
 this method, sparse canonical correlation analysis from Lee, W., Lee, D.,
 Lee, Y. and Pawitan, Y. (2011) <doi:10.2202/1544-6115.1638> is first applied
 to extract association patterns for each group of samples.  Then, a nuclear
 norm-based dissimilarity measure is used to construct a dissimilarity matrix
 between groups based on the extracted associations.  Finally, hierarchical
 clustering is applied.

Package: r-cran-hierdpart
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggally, r-cran-adegenet, r-cran-diversity, r-cran-entropart, r-cran-mmod, r-cran-ggplot2, r-cran-hierfstat, r-cran-reshape2, r-cran-tibble, r-cran-ade4, r-cran-vegan, r-cran-ape, r-cran-pegas, r-cran-permute
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hierdpart_1.5.0-1.ca2004.1_all.deb
Size: 268772
MD5sum: 5b9f13b91ada32280346efd251eb477e
SHA1: 9210600f0daf81cebf0c5a81723d1294d3d0f3a4
SHA256: 879fc4a10176b3cca3ce09d9c7eb2d7d75d33e801771a09ac35a472415ef9a8c
SHA512: 157b8fa449f9eb38f6316bd54a6a92dd5c2dc8f22d9c020ba90fe8e79dbe4c78f44b912432aa709cc034d7f1b2f1bb03b4d426ffd59b3e4c2a20ee25b3685717
Homepage: https://cran.r-project.org/package=HierDpart
Description: CRAN Package 'HierDpart' (Partitioning Hierarchical Diversity and Differentiation AcrossMetrics and Scales, from Genes to Ecosystems)
 Miscellaneous R functions for calculating and decomposing hierarchical
 diversity metrics, including hierarchical allele richness, hierarchical
 exponential Shannon entropy (true diversity of order q=1), hierarchical
 heterozygosity and genetic differentiation (Jaccard dissimilarity, Delta D,
 Fst and Jost's D). In addition,a new approach to identify population
 structure based on the homogeneity of multivariate variances of Shannon
 differentiation is presented. This package allows users to analyse spatial
 structured genetic data or species data under a unifying framework
 (Gaggiotti, O. E. et al, 2018, Evol Appl, 11:1176-1193;
 <DOI:10.1111/eva.12593>), which partitions diversity and differentiation
 into any hierarchical levels. It helps you easily structure and format your
 data. In summary,it implements the analyses of true diversity profiles (q=0,
 1, 2), hierarchical diversities and differentiation decomposition,
 visualization of population structure, as well as the estimation of
 correlation between geographic distance and genetic differentiation.

Package: r-cran-hierfstat
Architecture: all
Version: 0.5-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1400
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ade4, r-cran-adegenet, r-cran-gaston, r-cran-gtools
Suggests: r-cran-ape, r-cran-pegas, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hierfstat_0.5-11-1.ca2004.1_all.deb
Size: 438020
MD5sum: 638ad416f18d555ab99a3901cd2deacc
SHA1: 61650f94375f71be84e726ed63bc5696c86035dc
SHA256: 2cffce35c8a335c759b6b035f4de41a0bfefe70f92f64b66c0bd0f00b740e161
SHA512: 574d8bcb46631b6bca0fdbb1f726868311fc1068e7f1ae475f5e948121b897d200374cbadd22432f84a3f4edd70fc47417adbc38fbffa14c60a5e2ee93a387a7
Homepage: https://cran.r-project.org/package=hierfstat
Description: CRAN Package 'hierfstat' (Estimation and Tests of Hierarchical F-Statistics)
 Estimates hierarchical F-statistics from haploid or diploid genetic data
 with any numbers of levels in the hierarchy, following the algorithm of Yang
 (Evolution(1998), 52:950).  Tests via randomisations the significance of
 each F and variance components, using the likelihood-ratio statistics G
 (Goudet et al. (1996)
 <https://academic.oup.com/genetics/article/144/4/1933/6017091>).  Estimates
 genetic diversity statistics for haploid and diploid genetic datasets in
 various formats, including inbreeding and coancestry coefficients, and
 population specific F-statistics following Weir and Goudet (2017)
 <https://academic.oup.com/genetics/article/206/4/2085/6072590>.

Package: r-cran-hierportfolios
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastcluster, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-hierportfolios_1.0.1-1.ca2004.1_all.deb
Size: 1100848
MD5sum: 328903aad65f688f2d5702d4c39ad7ec
SHA1: ee919fec68a8466ad9524dc49b871ff6bd400872
SHA256: 0234dc84d7c47fe0dc44b888232a944193229346069b00a2497e0c318db34699
SHA512: e815b85449197ba8456733c542bbb8a0ec711d91510ae16940e7604fd6eb740c0a706d70c80ab0c094b348061dc50bc6cf6523ea43b82418ff0db9cc0a94d240
Homepage: https://cran.r-project.org/package=HierPortfolios
Description: CRAN Package 'HierPortfolios' (Hierarchical Risk Clustering Portfolio Allocation Strategies)
 Machine learning hierarchical risk clustering portfolio allocation
 strategies.  The implemented methods are: Hierarchical risk parity (De
 Prado, 2016) <DOI: 10.3905/jpm.2016.42.4.059>.  Hierarchical
 clustering-based asset allocation (Raffinot, 2017) <DOI:
 10.3905/jpm.2018.44.2.089>.  Hierarchical equal risk contribution portfolio
 (Raffinot, 2018) <DOI: 10.2139/ssrn.3237540>.  A Constrained Hierarchical
 Risk Parity Algorithm with Cluster-based Capital Allocation (Pfitzingera and
 Katzke, 2019)
 <https://www.ekon.sun.ac.za/wpapers/2019/wp142019/wp142019.pdf>.

Package: r-cran-hiersdr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-locfit, r-cran-lbfgs, r-cran-numderiv, r-cran-optimx
Filename: pool/dists/focal/main/r-cran-hiersdr_0.1-1.ca2004.1_all.deb
Size: 130872
MD5sum: f9c8c24c10aefa5159a8ebedc1ea40a4
SHA1: fcebf9147faaed1fea00a780d69581bfbc0ac5fc
SHA256: be925ca755d1b7aa01b9dfbfdb263fa64e0ab1139325465e3c13dddced4e784c
SHA512: d4298e5db86ffc6a3a0e49d6593b052b54524575db40041b5eb747b26733c868e2a7ffb272c5628de145ce0ae2d5d3cdd2c1b6b2cf7a3ea6a2a0f974d880edd7
Homepage: https://cran.r-project.org/package=hierSDR
Description: CRAN Package 'hierSDR' (Hierarchical Sufficient Dimension Reduction)
 Provides semiparametric sufficient dimension reduction for central mean
 subspaces for heterogeneous data defined by combinations of binary factors
 (such as chronic conditions). Subspaces are estimated to be hierarchically
 nested to respect the structure of subpopulations with overlapping
 characteristics. This package is an implementation of the proposed
 methodology of Huling and Yu (2021) <doi:10.1111/biom.13546>.

Package: r-cran-hiertest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hiertest_1.1-1.ca2004.1_all.deb
Size: 34744
MD5sum: cf5ca0725890fe026b6e4768d130f8a0
SHA1: 11a9c3c6999d2749ae153028ecef591ddeacdfc8
SHA256: c61bd56e0993d62939fc2ba1841994e5297070b0e52378c41ec291c26a3c5e0c
SHA512: 5f89c159c927a241c92b423e81fc27040c469f27d212a6972771b6141d7bb324551f8f909659e899467750192df3a19d8c9899e9a1e93ed150350fba0188ca49
Homepage: https://cran.r-project.org/package=hiertest
Description: CRAN Package 'hiertest' (Convex Hierarchical Testing of Interactions)
 Implementation of the convex hierarchical testing (CHT) procedure introduced
 in Bien, Simon, and Tibshirani (2015) Convex Hierarchical Testing of
 Interactions. Annals of Applied Statistics. Vol. 9, No. 1, 27-42.

Package: r-cran-hiest
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-hiest_2.0-1.ca2004.1_all.deb
Size: 198312
MD5sum: 5c65cf43b59876bf59f47f2921190cbd
SHA1: afadcdc2eab59dbbb261d0fb32d875b94563bf3d
SHA256: ad730b659230249ea555492451d1c359323db1702229c1522061aa671d5f4d08
SHA512: e5bd72dc40f198507b6910452f654e2bd8b4451b69fc299f96083102b806bf71275a75bce847b927d2290387a4da167a8b2012a06d6828e04aeb42b22d10235d
Homepage: https://cran.r-project.org/package=HIest
Description: CRAN Package 'HIest' (Hybrid index estimation)
 Uses likelihood to estimate ancestry and heterozygosity.  Evaluates simple
 hybrid classifications (parentals, F1, F2, backcrosses). Estimates genomic
 clines.

Package: r-cran-highcharter
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr, r-cran-purrr, r-cran-rlist, r-cran-assertthat, r-cran-zoo, r-cran-tibble, r-cran-stringr, r-cran-broom, r-cran-xts, r-cran-quantmod, r-cran-tidyr, r-cran-htmltools, r-cran-jsonlite, r-cran-igraph, r-cran-lubridate, r-cran-yaml, r-cran-rlang, r-cran-rjson
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-ggplot2, r-cran-httr, r-cran-viridislite, r-cran-shiny, r-cran-mass, r-cran-gapminder, r-cran-forecast, r-cran-geojsonio, r-cran-testthat, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-highcharter_0.9.4-1.ca2004.1_all.deb
Size: 1427732
MD5sum: b6b6464fec2c155b241cb8ce98ffaa9b
SHA1: df4782dc451f6be2326650b1b231a85f67ad6d6f
SHA256: 4ad8a02ba44afde8214777e40aa009a1570ab2c905ad6515a7c09b21337fbbb6
SHA512: 1803b4277c5036ae8b2d050eef6f41715267f317208eca1cbcc118c1692282cd9709a99e2001c8faf74605032b2fefd57355b61024663b19f0a509b61de94172
Homepage: https://cran.r-project.org/package=highcharter
Description: CRAN Package 'highcharter' (A Wrapper for the 'Highcharts' Library)
 A wrapper for the 'Highcharts' library including shortcut functions to plot
 R objects. 'Highcharts' <https://www.highcharts.com/> is a charting library
 offering numerous chart types with a simple configuration syntax.

Package: r-cran-highd2means
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-rfast
Suggests: r-cran-highmean, r-cran-highdmean, r-cran-petests
Filename: pool/dists/focal/main/r-cran-highd2means_1.0-1.ca2004.1_all.deb
Size: 59896
MD5sum: 8806911d8c8dc5ccf151e5c2619cfe50
SHA1: d9c4e3d4852bad3b4611a32c4529b00259ec9944
SHA256: 1d86d9c6f73a3861cf240d33de93c76e84460baa995bd7ac2061916680ba99e9
SHA512: 08f29d12de785955175d7f56cb452f4b7594dcb5e6a9bbe0a69347d6deba35eb08d00f8faef5b0b8f58c5a2236e0728602041a0c04195aa1e54e55bdfc2ab5e3
Homepage: https://cran.r-project.org/package=highd2means
Description: CRAN Package 'highd2means' (High-Dimensional Tests for Two Population Mean Vectors)
 Tests for two high-dimensional population mean vectors. The user has the
 option to compute the asymptotic, the permutation or the bootstrap based
 p-value of the test. Some references are: Chen S.X. and Qin Y.L. (2010).
 <doi:10.1214/09-AOS716>, Cai T.T., Liu W., and Xia Y. (2014)
 <doi:10.1111/rssb.12034> and Yu X., Li D., Xue L. and Li, R. (2023)
 <doi:10.1080/01621459.2022.2061354>.

Package: r-cran-highdmean
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-highdmean_0.1.0-1.ca2004.1_all.deb
Size: 180016
MD5sum: c9a39b4b417592aa5a1345b357a023b2
SHA1: ec05a352c326d25510c015c41171079db92ca405
SHA256: 053d8886857616b48590d0c698dc0eefa7e39ac529e57ea81eed71f9fc2ea5cb
SHA512: 66565c6b03ce60029a202331792f86a80bfd025f3c4b97f826598fbc77415c804557247ce92010169a35dd7c3533a2362a0a157a5d941e759c4990f5d666f12e
Homepage: https://cran.r-project.org/package=highDmean
Description: CRAN Package 'highDmean' (Testing Two-Sample Mean in High Dimension)
 Implements the high-dimensional two-sample test proposed by Zhang (2019)
 <http://hdl.handle.net/2097/40235>.  It also implements the test proposed by
 Srivastava, Katayama, and Kano (2013) <doi:10.1016/j.jmva.2012.08.014>.
 These tests are particularly suitable to high dimensional data from two
 populations for which the classical multivariate Hotelling's T-square test
 fails due to sample sizes smaller than dimensionality. In this case, the ZWL
 and ZWLm tests proposed by Zhang (2019) <http://hdl.handle.net/2097/40235>,
 referred to as zwl_test() in this package, provide a reliable and powerful
 test.

Package: r-cran-highestmedianrules
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmallow
Filename: pool/dists/focal/main/r-cran-highestmedianrules_1.0-1.ca2004.1_all.deb
Size: 35184
MD5sum: 529c0a610a8f623f164eda28d8d6bdf5
SHA1: 6395c38b7babe92e267ce0751cd5dd27ba4cb620
SHA256: 10fc37c21c851791340917b8880969921a4ea4d1942f407d1f38575e76ce9b4e
SHA512: bb87fc3e30561ae9076f6b1939f22800859282a17260c76a778d901068a26c305a69ba074aa094ee3af62b25480343a74e85546f8e3a092a8392bff7913ff1ed
Homepage: https://cran.r-project.org/package=HighestMedianRules
Description: CRAN Package 'HighestMedianRules' (Implementation of Voting Rules Electing the Candidate withHighest Median Grade)
 Computes the scores and ranks candidates according to voting rules electing
 the highest median grade.  Based on "Tie-breaking the highest median:
 alternatives to the majority judgment", A. Fabre, Social Choice & Welfare
 (forthcoming as of 2020). The paper is available here:
 <https://github.com/bixiou/highest_median/raw/master/Tie-breaking%20Highest%20Median%20-%20Fabre%202019.pdf>.
 Functions to plot the voting profiles can be found on github:
 <https://github.com/bixiou/highest_median/blob/master/packages_functions_data.R>.

Package: r-cran-highlighter
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-rlang
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-highlighter_0.1-1.ca2004.1_all.deb
Size: 213484
MD5sum: cbce05deb07fa2245a060abc32db9c14
SHA1: 735fb36b926a9d05e62b08a848f70bfd23958a9e
SHA256: 8e1d0528db1b3b1464149e306a0299673cb1ef860a71748d23e15bf249450107
SHA512: a92964d2481cbaadfb49f2cdd933292dcfc82b36db08d899c6fbac61c7d6f3c36a28439020b42e0f4fa3dee2976243810b8d3d396499d96671b651789a3020cc
Homepage: https://cran.r-project.org/package=highlighter
Description: CRAN Package 'highlighter' (Code Syntax Highlighting using the 'Prism.js' Library)
 Code Syntax Highlighting made easy for code snippets or complete files.
 Whether you're documenting your data analysis or creating interactive
 'shiny' apps.

Package: r-cran-highlighthtml
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-shiny, r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-highlighthtml_0.2.5-1.ca2004.1_all.deb
Size: 344984
MD5sum: 07e05e1755f9d18e2d848d06f6c64dc2
SHA1: aaf8fde2f7b5cfed21c41ca1b7d6aa0a85e69669
SHA256: a8b0c71d6f0db52a6689e848aa2c302fb0571faf7e76eeddec278fd352320307
SHA512: 6dfbd056035951cff4f8ca4e67b560823538dbd2cdbb195e8c39a260fd1f771c5d638d265ed6ddf5e8c35b07b17100d09a10fd346e2d45a00aee208aa43d220f
Homepage: https://cran.r-project.org/package=highlightHTML
Description: CRAN Package 'highlightHTML' (Highlight HTML Text and Tables)
 A tool to format R markdown with CSS ids for HTML output.  The tool may be
 most helpful for those using markdown to create reproducible documents. The
 biggest limitations in formatting is the knowledge of CSS by the document
 authors.

Package: r-cran-highlightr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tm, r-cran-zoomerjoin
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-highlightr_1.1.2-1.ca2004.1_all.deb
Size: 125348
MD5sum: c8f890a38660ec197cc6e5a8f4dde8a9
SHA1: 811370939730f7c3fce3a1a54a0dfa30205417f1
SHA256: 128861e44b8633f27f08401bd8ecf2b43775df268e694169c606567888a99faa
SHA512: 5006deafca04ada372ca892e23351898c8696b8647b7792f821168aad48458fde38a52c16fbbff117df94f6b9d4d7cb45c31210bae67e1bc131a45ae0c773033
Homepage: https://cran.r-project.org/package=highlightr
Description: CRAN Package 'highlightr' (Highlight Conserved Edits Across Versions of a Document)
 Input multiple versions of a source document, and receive HTML code for a
 highlighted version of the source document indicating the frequency of
 occurrence of phrases in the different versions.  This method is described
 in Chapter 3 of Rogers (2024)
 <https://digitalcommons.unl.edu/dissertations/AAI31240449/>.

Package: r-cran-highmean
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-highmean_3.0-1.ca2004.1_all.deb
Size: 189308
MD5sum: eec9756390a1bd374f3e2144a5a4347d
SHA1: dc39b352fcb0802ab51ee8030b53fd3d9b8c75a0
SHA256: 48437e56e8c21d2b89707a20d831df253a045b8f110c9c1de0264c60a07c4533
SHA512: 6f6b6e3ef318597e9cbb1f09ab62c748d4118312b7dca9e29a1969043cecd43ff05fbd1206f77c92b98e0b4e32d5c9ddb7ad31dd8b14af75ec91d95c5f56d778
Homepage: https://cran.r-project.org/package=highmean
Description: CRAN Package 'highmean' (Two-Sample Tests for High-Dimensional Mean Vectors)
 Provides various tests for comparing high-dimensional mean vectors in two
 sample populations.

Package: r-cran-highmlr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mlr3, r-cran-mlr3learners, r-cran-survival, r-cran-gtools, r-cran-tibble, r-cran-dplyr, r-cran-coxme, r-cran-missforest, r-cran-r6
Filename: pool/dists/focal/main/r-cran-highmlr_0.1.1-1.ca2004.1_all.deb
Size: 859520
MD5sum: 0203311907d67cc60728dbf870fdc42d
SHA1: efb733d304ea53fa5b213a74526e9c197cc0e8a4
SHA256: e76a11df88795033f1f84b68f5bb2ec6c9fcb7716cff4e3e2548a5fe13688bbd
SHA512: acb89737b85b684af02a2046b89e6aea2fff013fe329e30443fadac3a008000f50fe25f83f277ed445b15d17820ad28553d6c92cab4ac2c7af84acff9fff6bd5
Homepage: https://cran.r-project.org/package=highMLR
Description: CRAN Package 'highMLR' (Feature Selection for High Dimensional Survival Data)
 Perform high dimensional Feature Selection in the presence of survival
 outcome.  Based on Feature Selection method and different survival analysis,
 it will obtain the best markers with optimal threshold levels according to
 their effect on disease progression and produce the most consistent level
 according to those threshold values.  The functions' methodology is based on
 by Sonabend et al (2021) <doi:10.1093/bioinformatics/btab039> and
 Bhattacharjee et al (2021) <arXiv:2012.02102>.

Package: r-cran-highr
Architecture: all
Version: 0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xfun
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testit
Filename: pool/dists/focal/main/r-cran-highr_0.11-1.ca2004.1_all.deb
Size: 37772
MD5sum: 0d53aff55a0ea2bceaf3c6f7cd1eb43d
SHA1: d364793390674bfc834567cffb897f308c5c7320
SHA256: 47b047ef1ceac82412d9f52b6db4e21e12767b38b5b26ecdedf43c1e4339a772
SHA512: 01da284f607f7c84aecc713a275d3194727a94dba3f609588255e5ad77236425b2b0f2b98ccae5788ed3f0d513827a7ddcc5c72ac5949d51e44f4f4fea525695
Homepage: https://cran.r-project.org/package=highr
Description: CRAN Package 'highr' (Syntax Highlighting for R Source Code)
 Provides syntax highlighting for R source code. Currently it supports LaTeX
 and HTML output. Source code of other languages is supported via Andre
 Simon's highlight package (<https://gitlab.com/saalen/highlight>).

Package: r-cran-highriskzone
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fields, r-cran-spatstat, r-cran-mvtnorm, r-cran-ks, r-cran-deldir, r-cran-matrix, r-cran-maps, r-cran-spatstat.random, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-splancs, r-cran-polyclip
Filename: pool/dists/focal/main/r-cran-highriskzone_1.4.9-1.ca2004.1_all.deb
Size: 229720
MD5sum: 97cf40ee6189e159c0de4f20e59c0c78
SHA1: 059ab950c564ef55100cefe737f80804740351b9
SHA256: 5c4232459b673c04c8bf6e4276f01c44ad893330be5a88ec51a19c93b5dbf698
SHA512: 2e4962d815530aa081ab97856eee8e332fa8fae84285692f8ec4e7fe87b44a0304a2da8d5659921f4df9add14cd385e930ee910acf760451b1fac26d50488f88
Homepage: https://cran.r-project.org/package=highriskzone
Description: CRAN Package 'highriskzone' (Determining and Evaluating High-Risk Zones)
 Functions for determining and evaluating high-risk zones and simulating and
 thinning point process data, as described in 'Determining high risk zones
 using point process methodology - Realization by building an R package'
 Seibold (2012)
 <http://highriskzone.r-forge.r-project.org/Bachelorarbeit.pdf> and
 'Determining high-risk zones for unexploded World War II bombs by using
 point process methodology', Mahling et al. (2013)
 <doi:10.1111/j.1467-9876.2012.01055.x>.

Package: r-cran-highscreen
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-highscreen_0.4-1.ca2004.1_all.deb
Size: 373728
MD5sum: e567fd9f61067707dabc159dcda10871
SHA1: 760f8d112d39fd3a773d20c3662e0d55781be4bb
SHA256: 6ebb4fcadcbf68b5856f39719fd68516ee272b62c4ddf85eebcac7f156102207
SHA512: 90c4049450356b986991136f64ef2676a279f4822ed4981c4cfbd3c648fbc888c186b987ce6d3cbc54aadcd7b18a50d597f2e807d149f8d5e3692b10e9755ce7
Homepage: https://cran.r-project.org/package=highSCREEN
Description: CRAN Package 'highSCREEN' (High-Throughput Screening for Plate Based Essays)
 Can be used to carry out extraction, normalization, quality control (QC),
 candidate hits identification and visualization for plate based assays, in
 drug discovery. The package methods were applied in H. W. Choi et al.
 "Identification of Novel Mast Cell Activators Using Cell-Based
 High-Throughput Screening", SLAS Discovery 24(6), 2019. This project was
 funded by the Division of Allergy, Immunology, and Transplantation, National
 Institute of Allergy and Infectious Diseases, National Institutes of Health,
 Department of Health and Human Services, under contract No.
 HHSN272201400054C entitled "Adjuvant Discovery For Vaccines Against West
 Nile Virus and Influenza", awarded to Duke University and lead by Drs.
 Herman Staats and Soman Abraham.

Package: r-cran-hightr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hightr_0.3.0-1.ca2004.1_all.deb
Size: 43632
MD5sum: 28cb50419fc4c1909a9260865319108b
SHA1: 69f27e4dc29ca86df91de96a08d92de770edb191
SHA256: 5bd75a559bc212e6fb3e0ff4d46612d9c77fe2a93c30e954805dc9a1d66295c3
SHA512: fd11278c5f49501ddd4873193583154cc982909324132de27f6c0aa0204fca9df97609f1efa1b0c862cd2f6527e4b61338036d76f0e628198ec56452b6744967
Homepage: https://cran.r-project.org/package=hightR
Description: CRAN Package 'hightR' (HIGHT Algorithm)
 HIGHT(HIGh security and light weigHT) algorithm is a block cipher encryption
 algorithm developed to provide confidentiality in computing environments
 that demand low power consumption and lightweight, such as
 RFID(Radio-Frequency Identification) and USN(Ubiquitous Sensor Network), or
 in mobile environments that require low power consumption and lightweight,
 such as smartphones and smart cards. Additionally, it is designed with a
 simple structure that enables it to be used with basic arithmetic
 operations, XOR, and circular shifts in 8-bit units. This algorithm was
 designed to consider both safety and efficiency in a very simple structure
 suitable for limited environments, compared to the former 128-bit encryption
 algorithm SEED. In December 2010, it became an ISO(International
 Organization for Standardization) standard. The detailed procedure is
 described in Hong et al. (2006) <doi:10.1007/11894063_4>.

Package: r-cran-highttest
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-highttest_1.4-1.ca2004.1_all.deb
Size: 81832
MD5sum: b971cdd97230aa56e3aab40d209c2760
SHA1: af397450a4682978f1e557391610538870b504ae
SHA256: 3422ad720b234ec776d911a43b2497330ec265f18602422112743362ab243064
SHA512: 11523d2a9fc86a0b977a286e4834d6e9d1adc1a0cd81f9c16e424f8361d48781c05be132a05bbe46f75d8a81e3bfee8d37351f86aa467b8aca93e83aceb3ee47
Homepage: https://cran.r-project.org/package=highTtest
Description: CRAN Package 'highTtest' (Simultaneous Critical Values for t-Tests in Very High Dimensions)
 Implements the method developed by Cao and Kosorok (2011) for the
 significance analysis of thousands of features in high-dimensional
 biological studies. It is an asymptotically valid data-driven procedure to
 find critical values for rejection regions controlling the k-familywise
 error rate, false discovery rate, and the tail probability of false
 discovery proportion.

Package: r-cran-higrad
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-higrad_0.1.0-1.ca2004.1_all.deb
Size: 30652
MD5sum: f98295a2d792f8e9979dcf8823698a02
SHA1: 64178398c377189b57185ea910c5a971fcb798ad
SHA256: ac34508417a79ebf382d70ae8da1d85701b9d34a139829a6b5e3ae9ec3aaaf29
SHA512: 4626935c571d89d7264872d2b4da06376039408bdc287c730e1f671c0c753d6297df59d618e76f1842ce4951774abd4c4974e4fcb0229344e0dc9df5abd9d19b
Homepage: https://cran.r-project.org/package=higrad
Description: CRAN Package 'higrad' (Statistical Inference for Online Learning and StochasticApproximation via HiGrad)
 Implements the Hierarchical Incremental GRAdient Descent (HiGrad) algorithm,
 a first-order algorithm for finding the minimizer of a function in online
 learning just like stochastic gradient descent (SGD).  In addition, this
 method attaches a confidence interval to assess the uncertainty of its
 predictions.  See Su and Zhu (2018) <arXiv:1802.04876> for details.

Package: r-cran-hildareadr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-haven, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-hildareadr_0.2.0-1.ca2004.1_all.deb
Size: 17320
MD5sum: a300430a0b320b71c7bccfc6750ef310
SHA1: c34818cdae5a835f29b1fc6e38e2391d1ef90bf4
SHA256: 35af244d072bf6a7f0749ea290b117894354435cc37a2e02137621cdb71737b3
SHA512: 08b3cd70caa3781b6d974b18ed430c3471234fd8317c56ef3b69b6701be5996f5f90ce84e189ba92f0122d28d03ac3514e426315402f18e27433e4fc235eebd9
Homepage: https://cran.r-project.org/package=hildareadR
Description: CRAN Package 'hildareadR' (Extract Variables from HILDA)
 Makes it easy to extract and combine variables from the HILDA (Household,
 Income and Labour Dynamics in Australia) survey maintained by the Melbourne
 Institute <https://melbourneinstitute.unimelb.edu.au/hilda>.

Package: r-cran-hilldiv
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-ggpubr, r-cran-rcolorbrewer, r-cran-data.table, r-cran-ape, r-cran-vegan, r-cran-geiger, r-cran-qgraph, r-cran-fsa
Filename: pool/dists/focal/main/r-cran-hilldiv_1.5.1-1.ca2004.1_all.deb
Size: 173800
MD5sum: 5aea2e8cd5871ff40997e18b626144d7
SHA1: 53f1d17b5da1a812ddf1b124e4074dbc7e6af9b1
SHA256: d824b7d4adfaf4abff1b046663b94157bccbd799218b892ea0b878645b009b3a
SHA512: 70e154904d0d283c6dcb8a8d3f26fc2fcd8539e7cc900d6b76c1c244e6e5d383527dad76cb323c1a2b82222c79854cdff94e78be22c3a321581010624ade13a6
Homepage: https://cran.r-project.org/package=hilldiv
Description: CRAN Package 'hilldiv' (Integral Analysis of Diversity Based on Hill Numbers)
 Tools for analysing, comparing, visualising and partitioning diversity based
 on Hill numbers.  'hilldiv' is an R package that provides a set of functions
 to assist analysis of diversity for diet reconstruction, microbial community
 profiling or more general ecosystem characterisation analyses based on Hill
 numbers, using OTU/ASV tables and associated phylogenetic trees as inputs.
 The package includes functions for (phylo)diversity measurement,
 (phylo)diversity profile plotting, (phylo)diversity comparison between
 samples and groups, (phylo)diversity partitioning and (dis)similarity
 measurement. All of these grounded in abundance-based and incidence-based
 Hill numbers.  The statistical framework developed around Hill numbers
 encompasses many of the most broadly employed diversity (e.g. richness,
 Shannon index, Simpson index), phylogenetic diversity (e.g. Faith's PD,
 Allen's H, Rao's quadratic entropy) and dissimilarity (e.g. Sorensen index,
 Unifrac distances) metrics. This enables the most common analyses of
 diversity to be performed while grounded in a single statistical framework.
 The methods are described in Jost et al. (2007) <DOI:10.1890/06-1736.1>,
 Chao et al. (2010) <DOI:10.1098/rstb.2010.0272> and Chiu et al. (2014)
 <DOI:10.1890/12-0960.1>; and reviewed in the framework of molecularly
 characterised biological systems in Alberdi & Gilbert (2019)
 <DOI:10.1111/1755-0998.13014>.

Package: r-cran-hillr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fd, r-cran-plyr, r-cran-ade4, r-cran-ape, r-cran-tibble, r-cran-geiger
Suggests: r-cran-testthat, r-cran-covr, r-cran-betapart
Filename: pool/dists/focal/main/r-cran-hillr_0.5.2-1.ca2004.1_all.deb
Size: 85684
MD5sum: fa7f4cf32cfbd6a10b2dd62330b51c18
SHA1: 60e9bb6570ca61bc74c85da4da88bdde58ccc78d
SHA256: c2802c41e579c76a95f9476aa82196eedd62bb02a3d8c1483bf7c7796f4609e3
SHA512: 61fef26f9926bad7d66e3506896d67796dd55f441343d613d429908339ef7d6cdd9781d02351422fada3478d4e39b8a2b145983bbf01ce98d0689c7247dd6f27
Homepage: https://cran.r-project.org/package=hillR
Description: CRAN Package 'hillR' (Diversity Through Hill Numbers)
 Calculate taxonomic, functional and phylogenetic diversity measures through
 Hill Numbers proposed by Chao, Chiu and Jost (2014)
 <doi:10.1146/annurev-ecolsys-120213-091540>.

Package: r-cran-hillshader
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4477
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-rayshader, r-cran-scales
Filename: pool/dists/focal/main/r-cran-hillshader_0.1.2-1.ca2004.1_all.deb
Size: 4473396
MD5sum: 507ce813d308914be8ceb93fc35d13eb
SHA1: 5c4dad29082c3901dcd0b51cae2997225502e588
SHA256: 4f945b07293a88e9576ce170bca6cf2fd38153498761436eb3c150c2888ce954
SHA512: 789c38cecffbf0cbfc09894b33e1adc0be397f7607f8e24697b2fa20f5d939e6a001420a64f55e1a66e688d68e409d0bd274d9492801453a589605b4ab3f7b24
Homepage: https://cran.r-project.org/package=hillshader
Description: CRAN Package 'hillshader' (Create Hillshade Relief Maps Using Ray-Tracing)
 A set of tools to create georeferenced hillshade relief raster maps using
 ray-tracing and other advanced hill-shading techniques. It includes a
 wrapper function to create a georeferenced, ray-traced hillshade map from a
 digital elevation model, and other functions that can be used in a rayshader
 pipeline.

Package: r-cran-hilmm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hilmm_1.1-1.ca2004.1_all.deb
Size: 147028
MD5sum: 0f55627cbbb1acd60fa90e4e34262cf9
SHA1: f029e581e8e48586c8deaf21739e45e75157866d
SHA256: b22efca766b97d9c18c1c9b94e1f0682cd55d25bd403422e80971d43626fd08a
SHA512: 9385a93a9f4cc1f91bbe8b433a3b4ca88334e2fd34af4d0f4bb63b13dadd9a4dd7a1508c181453e27a78e1bc8e2b3b322392a7b49bfc955dc4bce60ffc6b5377
Homepage: https://cran.r-project.org/package=HiLMM
Description: CRAN Package 'HiLMM' (Estimation of Heritability in Linear Mixed Models)
 Estimation of heritability with confidence intervals in linear mixed models.

Package: r-cran-hima
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1860
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ncvreg, r-cran-glmnet, r-cran-mass, r-cran-survival, r-cran-hdmt, r-cran-hdi, r-cran-conquer, r-cran-quantreg, r-cran-hommel, r-cran-iterators, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hima_2.3.2-1.ca2004.1_all.deb
Size: 1808196
MD5sum: 5f4cec746282c193eb66c95d50387f77
SHA1: 22cea00a75f314156c4ccbbef2edccb3c84ee9de
SHA256: 886b3dd9316fb2a83d355314fc8d5a35b5bfe7e972d31c8854d715173645f874
SHA512: 72e217c743868df5f04eb7a55f7ba3f3449e8d8a8b40ccae6d11c750905f2920f3b3795dfb170bc940f500a30f8ea3c16c69f660a3d2951c060a06e70e0c648f
Homepage: https://cran.r-project.org/package=HIMA
Description: CRAN Package 'HIMA' (High-Dimensional Mediation Analysis)
 Allows to estimate and test high-dimensional mediation effects based on
 advanced mediator screening and penalized regression techniques. Methods
 used in the package refer to Zhang H, Zheng Y, Zhang Z, Gao T, Joyce B, Yoon
 G, Zhang W, Schwartz J, Just A, Colicino E, Vokonas P, Zhao L, Lv J,
 Baccarelli A, Hou L, Liu L. Estimating and Testing High-dimensional
 Mediation Effects in Epigenetic Studies. Bioinformatics. (2016)
 <doi:10.1093/bioinformatics/btw351>. PMID: 27357171.

Package: r-cran-himach
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1195
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cpprouting, r-cran-data.table, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-lwgeom, r-cran-purrr, r-cran-s2, r-cran-sf, r-cran-tidyr
Suggests: r-cran-airportr, r-cran-cowplot, r-cran-knitr, r-cran-progress, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-scales, r-cran-stringr, r-cran-testthat, r-cran-units, r-cran-viridis, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-himach_0.3.2-1.ca2004.1_all.deb
Size: 841524
MD5sum: 5087530081e90765eb973119d9e253a3
SHA1: 5389d0a22240cac10509d169b8da76371a28894e
SHA256: 4e54ef1d39bbd6566bbf7ed148778b55cebb8843314e2a5b4fb945d8723dd178
SHA512: 370f7ccce56e4f0cf39484050a87fc1c9ce7421a8eee0d658e821a8b013f98af1312be4a71803fd292745e006e1de026697371c2a677f49fbfbf3dbdeb954c72
Homepage: https://cran.r-project.org/package=himach
Description: CRAN Package 'himach' (High Mach Finds Routes for Supersonic Aircraft)
 For supersonic aircraft, flying subsonic over land, find the best route
 between airports. Allow for coastal buffer and potentially closed regions.
 Use a minimal model of aircraft performance: the focus is on time saved
 versus subsonic flight, rather than on vertical flight profile. For
 modelling and forecasting, not for planning your flight!

Package: r-cran-hindex
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-ggplot2, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hindex_0.2.0-1.ca2004.1_all.deb
Size: 153248
MD5sum: b0a6c17a16b1a88f965a2cd5dee4816d
SHA1: 75346c4c2a5cd99e4a9407dcc93dbc9e4247dbc0
SHA256: e87c9a37aeeef57822db681cff36dbec8fd4fa55f63254a7a4be6df7ed98f0e0
SHA512: a23e39feaa24ddf0c878ee5e79740ca76f7b7e11f7afc1d30759c55845b142e7f043fd020ede7db61e602b29c2ca6531166885ad13a754a0ffa1a83e9eb305ae
Homepage: https://cran.r-project.org/package=hindex
Description: CRAN Package 'hindex' (Simulating the Development of h-Index Values)
 H-index and h-alpha are a bibliometric indicators. This package provides
 functions to simulate how these indicators may develop over time for a given
 set of researchers and to visualize the simulation data.  The implementation
 is based on the 'STATA' ado h-index and is described in more detail in
 Bornmann et al. (2019) <arXiv:1905.11052>.

Package: r-cran-hindexcalculator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hindexcalculator_1.0.0-1.ca2004.1_all.deb
Size: 345000
MD5sum: b5e403f35cc2a6d74a40f8505b353693
SHA1: b272184f79f2d8ec7a97e622286bd1d94fedbc5e
SHA256: 55b70b37c0ad43ee0740f68d0d29f54cd24193b700b570ad5eae403adcd2234e
SHA512: a92fb180a1576377bb7d952d89fa55543472c92a8b1541f25a6cbe81862918e967da447f723d5eb8e9621678d7b52a1d576b2207241d99969dad514d3290677a
Homepage: https://cran.r-project.org/package=hindexcalculator
Description: CRAN Package 'hindexcalculator' (H-Index Calculator using Data from a Web of Science (WoS)Citation Report)
 H(x) is the h-index for the past x years. Here, the h(x) of a
 scientist/department/etc. can be calculated using the exported excel file
 from a Web of Science citation report of a search. Also calculated is the
 year of first publication, total number of publications, and sum of times
 cited for the specified period. Therefore, for h-10: the date of first
 publication, total number of publications, and sum of times cited in the
 past 10 years are calculated. Note: the excel file has to first be saved in
 a .csv format.

Package: r-cran-hiphop
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1133
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hiphop_0.0.1-1.ca2004.1_all.deb
Size: 873108
MD5sum: 962d66d3ddf40c83ffe6ec250a3fd987
SHA1: 4f88ccb3e965378ec7ff1f3605541adfb2a4a21d
SHA256: 2a180d3e4ae19bfb160729969bcecb376355ef14505b30935aa9a0ad24110130
SHA512: 5f5aa7b20b943aae1f691c52a198facc2b76ad584f1c057fbbcf86a377a66dab836ab11796ecce924f6df125cfa47a7419a3d84a2b7399b24122abe9c9974e0d
Homepage: https://cran.r-project.org/package=hiphop
Description: CRAN Package 'hiphop' (Parentage Assignment using Bi-Allelic Genetic Markers)
 Can be used for paternity and maternity assignment and outperforms
 conventional methods where closely related individuals occur in the pool of
 possible parents. The method compares the genotypes of offspring with any
 combination of potentials parents and scores the number of mismatches of
 these individuals at bi-allelic genetic markers (e.g. Single Nucleotide
 Polymorphisms).  It elaborates on a prior exclusion method based on the
 Homozygous Opposite Test (HOT; Huisman 2017 <doi:10.1111/1755-0998.12665>)
 by introducing the additional exclusion criterion HIPHOP (Homozygous
 Identical Parents, Heterozygous Offspring are Precluded; Cockburn et al., in
 revision). Potential parents are excluded if they have more mismatches than
 can be expected due to genotyping error and mutation, and thereby one can
 identify the true genetic parents and detect situations where one (or both)
 of the true parents is not sampled. Package 'hiphop' can deal with (a) the
 case where there is contextual information about parentage of the mother
 (i.e. a female has been seen to be involved in reproductive tasks such as
 nest building), but paternity is unknown (e.g. due to promiscuity), (b)
 where both parents need to be assigned, because there is no contextual
 information on which female laid eggs and which male fertilized them (e.g.
 polygynandrous mating system where multiple females and males deposit young
 in a common nest, or organisms with external fertilisation that breed in
 aggregations).  For details: Cockburn, A., Penalba, J.V.,Jaccoud, D.,Kilian,
 A., Brouwer, L., Double, M.C., Margraf, N., Osmond, H.L., van de Pol, M. and
 Kruuk, L.E.B.  (in revision). HIPHOP: improved paternity assignment among
 close relatives using a simple exclusion method for bi-allelic markers.
 Molecular Ecology Resources, DOI to be added upon acceptance.

Package: r-cran-hipod
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-hipod_1.0-1.ca2004.1_all.deb
Size: 53400
MD5sum: ceeb94a2db685c69d4f791cb1e44c654
SHA1: 3ddead6d9681b87eaa5ba52c46749dc196858bdd
SHA256: aa3cd220dbd03f78fb98c333efd4488774b668bad8010f0bde7a896c21983adf
SHA512: 8a61fcd97cf413d2f08fa9d5c7f5f55a5e328175f6931d91c313679facc19d9f8b0be0afb9d23c55367b0ba2eb69ecd997d8f4f3d9f4e98d379531e66ae58f5e
Homepage: https://cran.r-project.org/package=hiPOD
Description: CRAN Package 'hiPOD' (hierarchical Pooled Optimal Design)
 Based on hierarchical modeling, this package provides a few practical
 functions to find and present the optimal designs for a pooled NGS design.

Package: r-cran-hippie
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rstudioapi, r-cran-sourcetools
Suggests: r-cran-testthat, r-cran-withr, r-cran-fs
Filename: pool/dists/focal/main/r-cran-hippie_0.1.0-1.ca2004.1_all.deb
Size: 100344
MD5sum: a437105c8e683413081127b8ea1e32f2
SHA1: bb0c529f9bbbcb9a26b19056bcade52b385a3512
SHA256: dc480e48cafb6910df743113244d8d3a3900859b390af2fb975b8b7b725768e7
SHA512: bb95a149c748399e950da35c709fb93d63cad24fd4882b02d4da4770f3ba607fc8f5ca2a3153eca0d01728317a7a5dbe7e669f498efaeac702445d1e446062ff
Homepage: https://cran.r-project.org/package=hippie
Description: CRAN Package 'hippie' (Hippie Code Completion in 'RStudio')
 An 'RStudio' Addin for Hippie Expand (AKA Hippie Code Completion or Cyclic
 Expand Word). This type of completion searches for matching tokens within
 the user's current source editor file, regardless of file type. By searching
 only within the current source file, 'hippie' offers a fast way to identify
 and insert completions that appear around the user's cursor.

Package: r-cran-hirt
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pryr, r-cran-rms, r-cran-ltm, r-cran-matrix
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hirt_0.3.0-1.ca2004.1_all.deb
Size: 199528
MD5sum: d7c0ba663f091e09b59093134d11a08c
SHA1: 6ae4493ac73c08fe4dcbab7d962ffd37f54d1c46
SHA256: 3e0aa21d47e8b0aab84cd6610f90a21fa22d7b36aa616753045dabe274b40382
SHA512: f3fe147e5b7de7bce9f58cad7b9ef62a35657e694fc33a7d52c10562b1f738223204c5045d7c0d1c68a09ae1010e5fa0e311e3221cdf17e14838b5ab5de3566a
Homepage: https://cran.r-project.org/package=hIRT
Description: CRAN Package 'hIRT' (Hierarchical Item Response Theory Models)
 Implementation of a class of hierarchical item response theory (IRT) models
 where both the mean and the variance of latent preferences (ability
 parameters) may depend on observed covariates. The current implementation
 includes both the two-parameter latent trait model for binary data and the
 graded response model for ordinal data. Both are fitted via the
 Expectation-Maximization (EM) algorithm. Asymptotic standard errors are
 derived from the observed information matrix.

Package: r-cran-histdat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-histdat_0.2.0-1.ca2004.1_all.deb
Size: 88380
MD5sum: 1b96459ccb4ba54fb6c1c36a65a5ffbd
SHA1: 01ac8b3607599448a0985f33ac4dd1474a936838
SHA256: dd916896560f28b635870c38f4b31d67a2e85bb404e59c8ccac38b7a86bcbdbc
SHA512: 292b9ca33b5c62974dbfeafd194621c1b674e43bd5a417c49f5e7e67f01b32a4b3dbf1d8e0cee43ee54b40ec2d87c0fa6292a739f9929ea7dadb7fd7c2cf2713
Homepage: https://cran.r-project.org/package=HistDat
Description: CRAN Package 'HistDat' (Summary Statistics for Histogram/Count Data)
 In some cases you will have data in a histogram format, where you have a
 vector of all possible observations, and a vector of how many times each
 observation appeared. You could expand this into a single 1D vector, but
 this may not be advisable if the counts are extremely large.  'HistDat'
 allows for the calculation of summary statistics without the need for
 expanding your data.

Package: r-cran-histdata
Architecture: all
Version: 0.9-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1218
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-gtools, r-cran-kernsmooth, r-cran-maps, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-proto, r-cran-reshape, r-cran-plyr, r-cran-lattice, r-cran-jpeg, r-cran-car, r-cran-gplots, r-cran-sp, r-cran-heplots, r-cran-knitr, r-cran-rmarkdown, r-cran-effects, r-cran-lubridate, r-cran-gridextra, r-cran-vcd, r-cran-mass, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-histdata_0.9-3-1.ca2004.1_all.deb
Size: 675204
MD5sum: 0a9f660f80917f53f321ead1fea2f74d
SHA1: d407ad6e467a291f923c5c603d4e236ffe26c880
SHA256: fdbf81d6518d7faed05604edf31e3643e951b3162364099be872b70bf251ee17
SHA512: 9f430dc2249ab051d7e4b720fd1250cb3308cade095790f26f7af71f85ff26b1be0e715b91da36b3622d2f40cbffa4e26ba07d6969b529e6a9c3033033e6fd5f
Homepage: https://cran.r-project.org/package=HistData
Description: CRAN Package 'HistData' (Data Sets from the History of Statistics and Data Visualization)
 The 'HistData' package provides a collection of small data sets that are
 interesting and important in the history of statistics and data
 visualization. The goal of the package is to make these available, both for
 instructional use and for historical research. Some of these present
 interesting challenges for graphics or analysis in R.

Package: r-cran-histogram
Architecture: all
Version: 0.0-25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-histogram_0.0-25-1.ca2004.1_all.deb
Size: 62200
MD5sum: d29031d39e880e3ee994d0bb5278753b
SHA1: a68ae31f4bf1118fdc77c6afddea801818b40b77
SHA256: cfdeaa9c7b4707e36b2b0a9fa98c22df214bff4573bb800041e2d0f0d60f8df6
SHA512: 3865621c5e0007a59d4c83f479bc0796f99d9915df27efb413fc143c7be7752defee871690859e78cfd45faa789f78c6b6796edca0911ff009a8ba9569275f67
Homepage: https://cran.r-project.org/package=histogram
Description: CRAN Package 'histogram' (Construction of Regular and Irregular Histograms with DifferentOptions for Automatic Choice of Bins)
 Automatic construction of regular and irregular histograms as described in
 Rozenholc/Mildenberger/Gather (2010).

Package: r-cran-histogramtools
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 779
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-ash, r-cran-stringr
Suggests: r-cran-runit, r-cran-emdist, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-histogramtools_0.3.2-1.ca2004.1_all.deb
Size: 599088
MD5sum: 642d4236c6912c1cdd88af6cd7e96c8c
SHA1: 1b699892981a694cf615437deb5d8a5ab4717958
SHA256: 794affba8d1330a68ca986138dafafadb824fe5c04660d954bfc725b588a86a6
SHA512: 6e1c3a3d65f8dc7c64770bcc4b6408a28cbfacd41ad2d56ecb2a07a1d5ee860189446ce57e8947e51633339608375cec6f6567c6cf9e56b577a94ababa023bd7
Homepage: https://cran.r-project.org/package=HistogramTools
Description: CRAN Package 'HistogramTools' (Utility Functions for R Histograms)
 Provides a number of utility functions useful for manipulating large
 histograms.  This includes methods to trim, subset, merge buckets, merge
 histograms, convert to CDF, and calculate information loss due to binning.
 It also provides a protocol buffer representations of the default R
 histogram class to allow histograms over large data sets to be computed and
 manipulated in a MapReduce environment.

Package: r-cran-historicalborrow
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-matrix, r-cran-posterior, r-cran-rjags, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-historicalborrow_1.1.0-1.ca2004.1_all.deb
Size: 292924
MD5sum: b8d6b0d757448aeccc32f4ab6cff125d
SHA1: 68a0c85d4d8068394be9ada066004a45b4c32c3e
SHA256: 43c59eff0f858670ad11ad992cd3fde18dd24caf84de4a5003a78c85d72767c2
SHA512: f575bae4c735da88a5e50c0b062b2f36eab690fa82bd170c34bc318dbbff13412d6b5f498aa51472b8093c98878a9e45d671359186526da3c3c19c341240e6f6
Homepage: https://cran.r-project.org/package=historicalborrow
Description: CRAN Package 'historicalborrow' (Non-Longitudinal Bayesian Historical Borrowing Models)
 Historical borrowing in clinical trials can improve precision and operating
 characteristics. This package supports a hierarchical model and a mixture
 model to borrow historical control data from other studies to better
 characterize the control response of the current study. It also quantifies
 the amount of borrowing through benchmark models (independent and pooled).
 Some of the methods are discussed by Viele et al. (2013)
 <doi:10.1002/pst.1589>.

Package: r-cran-historydata
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-historydata_0.1-1.ca2004.1_all.deb
Size: 353284
MD5sum: c8207516df4bab771f5e7618eadd3261
SHA1: 8d508ae77119c58cdd3ac229cf5ed1c3b3832bca
SHA256: 8ce534c87f88d116d42097b80db4de838107f78e6a5aaef3713a6cf7d7575e93
SHA512: babfb2536467911b5f96929f08e159d1c4dd380f8316356887327a6a52c046778264724242dca5f470442898f0d2b0e08d6069c595fc8829246321a7108bd344
Homepage: https://cran.r-project.org/package=historydata
Description: CRAN Package 'historydata' (Data Sets for Historians)
 These sample data sets are intended for historians learning R. They include
 population, institutional, religious, military, and prosopographical data
 suitable for mapping, quantitative analysis, and network analysis.

Package: r-cran-histoslider
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-htmltools, r-cran-reactr, r-cran-shiny
Suggests: r-cran-testthat, r-cran-shinytest2, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-histoslider_0.1.1-1.ca2004.1_all.deb
Size: 140960
MD5sum: 29965b49d31d8ae57b8b5b764d3558a3
SHA1: 0debf19f83e76d6cee4e37d86749d3466dc44e9a
SHA256: 45d55e3993ca4dbc85ac8193010123382e8d0f7b48491960ec4f023c550a95d0
SHA512: 6acf2bf4347ad675f970d1436314cdd22419056aa834c8cd0e2c7828092c248412abbd3d1b0d7bc40886af2ea91ac9b851c636fe7164475b7c2d7818724b6335
Homepage: https://cran.r-project.org/package=histoslider
Description: CRAN Package 'histoslider' (A Histogram Slider Input for 'Shiny')
 A histogram slider input binding for use in 'Shiny'. Currently supports
 creating histograms from numeric, date, and 'date-time' vectors.

Package: r-cran-histry
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastdigest, r-cran-evaluate, r-cran-roprov, r-cran-codedepends
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-histry_0.2.4-1.ca2004.1_all.deb
Size: 543408
MD5sum: 3187f88ae528496262b26188128d326c
SHA1: f482ef49f5ed5db1403af269d760c1e06ae10c17
SHA256: 0d6cdd13dc8045cbbd545ac281bb1a80b63ed6b13e27f174438329c9d60c0167
SHA512: ea6798ee39cb9d0b79845e79603914ae16423bd9ad9e7c63f331feaf5f8ad6580a8c03fa4ca5b24520af639dd9a2d1adaab6e23b0fd8d24c3278f42eb9dcd5f1
Homepage: https://cran.r-project.org/package=histry
Description: CRAN Package 'histry' (Enhanced Command History Tracking for R Sessions and DynamicDocuments)
 Automatically tracks and makes programmatically available code evaluation
 history in R sessions and dynamic documents.

Package: r-cran-hiv.lifetables
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hiv.lifetables_0.1-1.ca2004.1_all.deb
Size: 628652
MD5sum: 0acbd48d56e96e28d212dd44e9d8033a
SHA1: f0bb254a8445cf3eacc48364c2a32e78a4df2f1b
SHA256: f131fc527f345fc36af7d60a5758dd5e2281a3527ba5a57bb6b97c899067ac55
SHA512: e5dac864ce99f1c0d3905fd0f9e2b9916f668603dec01cf1b48daa0b73cb8f5e4d5f77063e09fe58aefc6e8683061d042ef41f1ed04eb4332b7aafbbbb1e71c1
Homepage: https://cran.r-project.org/package=HIV.LifeTables
Description: CRAN Package 'HIV.LifeTables' (HIV calibrated model life tables for countries with generalizedHIV epidemics)
 The functions in this package produce a complete set of mortality rates as a
 function of a combination of HIV prevalence and either life expectancy at
 birth (e0), child mortality (5q0), or child mortality with adult mortality
 (45q15)

Package: r-cran-hivdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hivdata_0.1.0-1.ca2004.1_all.deb
Size: 24416
MD5sum: 6f72a6ae108239a1f13078e6c1ae8878
SHA1: fbcecdabbc334c51fd3e18d7bc85aaafe2152308
SHA256: b2870a9c20651ea33721dfa076922f75390ac6c767c3716cbbe41e8ff783d43d
SHA512: 2fce11f12258470bafbba3973317f0f9f0b0279acd89d3369b24295e88853133ef64df644254c4c2084b1f9f805840ee91d4ea5cfc186f8f5a76513d0c90ec4a
Homepage: https://cran.r-project.org/package=hivdata
Description: CRAN Package 'hivdata' (Six-Year Chronological Data of HIV and ART Cases in Pakistan)
 We provide the monthly number of HIV and antiretroviral therapy (ART) cases
 of male, female, children and transgender as well as for the whole of
 Pakistan reported at various treatment centers in Pakistan from January 2016
 to December 2021. Related works include: a) Imran, M., Nasir, J. A., & Riaz,
 S. (2018). Regional pattern of HIV cases in Pakistan. Journal of
 Postgraduate Medical Institute, 32(1), 9-13.
 <https://jpmi.org.pk/index.php/jpmi/article/view/2108>.

Package: r-cran-hive
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-xml
Filename: pool/dists/focal/main/r-cran-hive_0.2-2-1.ca2004.1_all.deb
Size: 93860
MD5sum: 91b85c15a9d517bb19b5254677fe20e6
SHA1: 6c57159ad058df1cb13f801da7f5da4cc39c2627
SHA256: 84375a4df3e86e8552c4bf337f361e0e6612f45ca8f46f9ee607f579e0d6e409
SHA512: e404b85c75ea8d899324ed0cba9a05557614b6ff4b9919bc30ebafd2b3ccf744f0ace53eb9e61e830c8ded2f8f0c65b08ca66153501fc175a60bc0c28971b6e6
Homepage: https://cran.r-project.org/package=hive
Description: CRAN Package 'hive' (Hadoop InteractiVE)
 Hadoop InteractiVE facilitates distributed computing via the MapReduce
 paradigm through R and Hadoop. An easy to use interface to Hadoop, the
 Hadoop Distributed File System (HDFS), and Hadoop Streaming is provided.

Package: r-cran-hiver
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-jpeg, r-cran-png, r-cran-rcolorbrewer, r-cran-rgl, r-cran-xtable
Suggests: r-cran-bipartite
Filename: pool/dists/focal/main/r-cran-hiver_0.4.0-1.ca2004.1_all.deb
Size: 670344
MD5sum: 93184749e95233c68202c152d5710ed1
SHA1: 3f5ea58fe45b66fbce5e3d33f23c8d2c4651c57d
SHA256: 8549220eede7a067029a9d1590da9823e6978b0b840ef113360748b4c2158dcc
SHA512: a87e808c063bd75d04366c5dd618572710e64553f8164923de466e2dfa5ab3a5abfca7110a4a221b46bc8ccce4190386491c131ec42a97ac7432d61e0dde8737
Homepage: https://cran.r-project.org/package=HiveR
Description: CRAN Package 'HiveR' (2D and 3D Hive Plots for R)
 Creates and plots 2D and 3D hive plots. Hive plots are a unique method of
 displaying networks of many types in which node properties are mapped to
 axes using meaningful properties rather than being arbitrarily positioned.
 The hive plot concept was invented by Martin Krzywinski at the Genome
 Science Center (www.hiveplot.net/).  Keywords: networks, food webs, linnet,
 systems biology, bioinformatics.

Package: r-cran-hjam
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 764
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-dplyr, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hjam_1.0.0-1.ca2004.1_all.deb
Size: 703992
MD5sum: 71174bb9deec88b441c27e6f92a0c291
SHA1: 6b61cdf25f455176238d011f1b9ed78e26686173
SHA256: fbd83662ce9c666a6bfa1ab63c0d2fbe8d863ec49d5ad7c0e53ee7786ae70d16
SHA512: 689ccbe26582740f553e6f8878b98220da4f1c0dd669bfeb2a64f309026f6a35615966c21db968017f1db97f7dd8a804b89498ff6972eb40ba65d2c1e05d2547
Homepage: https://cran.r-project.org/package=hJAM
Description: CRAN Package 'hJAM' (Hierarchical Joint Analysis of Marginal Summary Statistics)
 Provides functions to implement a hierarchical approach which is designed to
 perform joint analysis of summary statistics using the framework of
 Mendelian Randomization or transcriptome analysis. Reference: Lai Jiang,
 Shujing Xu, Nicholas Mancuso, Paul J. Newcombe, David V. Conti (2020). "A
 Hierarchical Approach Using Marginal Summary Statistics for Multiple
 Intermediates in a Mendelian Randomization or Transcriptome Analysis."
 <bioRxiv><doi:10.1101/2020.02.03.924241>.

Package: r-cran-hk80
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hk80_0.0.2-1.ca2004.1_all.deb
Size: 76944
MD5sum: e747fc5342e8e3d396151196655d976b
SHA1: 253dad3b78f8ccd43f4927675b2e0af76a9a3205
SHA256: 80937f65b0de7be70cdd816d198acf4f856a6cb427868fcd87d53b03e438307b
SHA512: bb8d738ce3865069604b6692470ef5b68ab64aee8ae904816b2a07f0f159ff05c548dc891f10ef2d5d99ce4266f5bd907a0fd5c4ff1dc3a1e9ea5e519d2f460e
Homepage: https://cran.r-project.org/package=HK80
Description: CRAN Package 'HK80' (Conversion Tools for HK80 Geographical Coordinate System)
 This is a collection of functions for converting coordinates between
 WGS84UTM, WGS84GEO, HK80UTM, HK80GEO and HK1980GRID Coordinate Systems used
 in Hong Kong SAR, based on the algorithms described in Explanatory Notes on
 Geodetic Datums in Hong Kong by Survey and Mapping Office Lands Department,
 Hong Kong Government (1995).

Package: r-cran-hkclustering
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-hkclustering_1.0.1-1.ca2004.1_all.deb
Size: 25200
MD5sum: cebabe5f9c9fd5f0c15e1e888a165608
SHA1: f3d03683925a2d89f05fa760525ce827cc7302bd
SHA256: 03e8515df53eac20e90a39e9b4cc057b31b3ca9e937840fdcff001d0fc552ff1
SHA512: db1281cd6085c2a43f8000d50b99185079b1b6150ba7c742b4601bd46f8920ec370ac10e29a88c4082153f85d475e4cf1d3ffb6e08a2b38621424c3f92b7aef7
Homepage: https://cran.r-project.org/package=hkclustering
Description: CRAN Package 'hkclustering' (Ensemble Clustering using K Means and Hierarchical Clustering)
 Implements an ensemble algorithm for clustering combining a k-means and a
 hierarchical clustering approach.

Package: r-cran-hkdatasets
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fst
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-here
Filename: pool/dists/focal/main/r-cran-hkdatasets_1.0.0-1.ca2004.1_all.deb
Size: 359756
MD5sum: ff735b933eaf987fabee89f94cf56908
SHA1: 758c4ea9ea52aaf7e33266cb32f4ad8aa8dfca8b
SHA256: f13e53b144a2af9bad0610701bcf25ea62532a01572472fdb1b9389fe9382355
SHA512: 34e199d15e643d8e0f729b459d0989500c557b7103f96e685ec41941ff9931c09db2b28ac5c2f8e756909ab31128494eb39f441f2bdfa35b7ea172c5391e898d
Homepage: https://cran.r-project.org/package=hkdatasets
Description: CRAN Package 'hkdatasets' (Datasets Related to Hong Kong)
 Datasets related to Hong Kong, including information on the 2019 elected
 District Councillors (<https://www.districtcouncils.gov.hk> and
 <https://dce2019.hk01.com/>) and traffic collision data from the Hong Kong
 Department of Transport (<https://www.td.gov.hk/>). All of the data in this
 package is available in the public domain.

Package: r-cran-hkex.api
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl, r-cran-httr
Filename: pool/dists/focal/main/r-cran-hkex.api_0.1-1.ca2004.1_all.deb
Size: 22520
MD5sum: a12e112d56f2359270077d3597d96ade
SHA1: 228e10201c9866bc14ccf9ce3602de2f1269c9de
SHA256: 62b5dfa191377e602e47bed17e52b8313733ba951d46720109845a99f873d9bd
SHA512: 2cab3cf8fadbff91c51d26b2628e5e33859336aec98bba1eb1790742daf70705d6b971c8b12781083ebe7f7d24e10352fb448171b6b2b287d11ae46ff1079d28
Homepage: https://cran.r-project.org/package=hkex.api
Description: CRAN Package 'hkex.api' (API to Retrieve Data from Hong Kong Stock Exchange)
 A set of functions helps to retrieve data from HKEX (Hong Kong Stock
 Exchange), see <https://www.hkex.com.hk/> for more information. In addition,
 a function generates insert SQL statements from a dataframe.

Package: r-cran-hkrbook
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1669
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinydashboardplus, r-cran-dt, r-cran-highlight, r-cran-formatr, r-cran-scatterplot3d
Suggests: r-cran-cluster, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hkrbook_0.1.3-1.ca2004.1_all.deb
Size: 815828
MD5sum: 8929df42dd19fcd3282c49c2aac943f9
SHA1: 14b6f52569851573f3ff5bb1dd4a080f705dc9db
SHA256: 8964e85e8314dee53ec282a952a533fb9368dc780cb7911785eb12256ffbe11e
SHA512: 1c40a15d523b430970a447b5743d0f25e49ad2718fdd46235af83a190e8dc09b7a979e5f9d9ab5563cb59953412736914177ab64b1de96d7c2a132f6e9010b20
Homepage: https://cran.r-project.org/package=HKRbook
Description: CRAN Package 'HKRbook' (Apps and Data for the Book "Introduction to Statistics")
 Functions, Shiny apps and data for the book "Introduction to Statistics" by
 Wolfgang Karl Härdle, Sigbert Klinke, and Bernd Rönz (2015)
 <doi:10.1007/978-3-319-17704-5>.

Package: r-cran-hlar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 802
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-devtools, r-cran-tidyverse, r-cran-dplyr, r-cran-reshape2, r-cran-schoolmath, r-cran-tibble, r-cran-tidyselect, r-cran-stringr, r-cran-purrr, r-cran-tidyr, r-cran-readr, r-cran-janitor
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hlar_1.0.0-1.ca2004.1_all.deb
Size: 185120
MD5sum: 217ba1b76a443ae3031282956d4b08e1
SHA1: 19e351f0ab152a9890516400a707174c5725fae9
SHA256: 0f6452b7f927ff66d14e465db24b010e29b97b04731d1488b18a9c98b7beec5f
SHA512: 664cbd266b5650c2fffe5cad950b210e48c219195ecd8a8459147699903c52804a98538cc3be9c5b85d529182d6cae31b6bcb279438e1f727f74bf86db86fd11
Homepage: https://cran.r-project.org/package=hlaR
Description: CRAN Package 'hlaR' (Tools for HLA Data)
 A streamlined tool for eplet analysis of donor and recipient HLA (human
 leukocyte antigen) mismatch. Messy, low-resolution HLA typing data is
 cleaned, and imputed to high-resolution using the NMDP (National Marrow
 Donor Program) haplotype reference database
 <https://haplostats.org/haplostats>. High resolution data is analyzed for
 overall or single antigen eplet mismatch using a reference table (currently
 supporting 'HLAMatchMaker' <http://www.epitopes.net> versions 2 and 3). Data
 can enter or exit the workflow at different points depending on the user's
 aims and initial data quality.

Package: r-cran-hlatools
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desctools, r-cran-dplyr, r-cran-fmsb, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-xfun
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hlatools_1.6.2-1.ca2004.1_all.deb
Size: 597400
MD5sum: 1e17af235aa6f19bfd295196bf0fa7d2
SHA1: ec929ab30862cd6d3cbe72844e17ddb683e0aa56
SHA256: a5a5648027a102ddcf6107d0648623db8f6a67e79ef3127afd67785ec2b8c769
SHA512: 91b032b7fefd5caf2b2b09208dae0170a119e375b3b1fe2bcf72aeec22de2cb5d8a66650f92b526400aeae587eba2dfc92d50bec5597712d10f0ef17e37ff022
Homepage: https://cran.r-project.org/package=HLAtools
Description: CRAN Package 'HLAtools' (Toolkit for HLA Immunogenomics)
 A toolkit for the analysis and management of data for genes in the so-called
 "Human Leukocyte Antigen" (HLA) region. Functions extract reference data
 from the Anthony Nolan HLA Informatics Group/ImmunoGeneTics HLA 'GitHub'
 repository (ANHIG/IMGTHLA) <https://github.com/ANHIG/IMGTHLA>, validate
 Genotype List (GL) Strings, convert between UNIFORMAT and GL String Code
 (GLSC) formats, translate HLA alleles and GLSCs across ImmunoPolymorphism
 Database (IPD) IMGT/HLA Database release versions, identify differences
 between pairs of alleles at a locus, generate customized, multi-position
 sequence alignments, trim and convert allele-names across nomenclature
 epochs, and extend existing data-analysis methods.

Package: r-cran-hlidacr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-glue, r-cran-purrr, r-cran-stringr, r-cran-curl, r-cran-usethis, r-cran-urltools
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-hlidacr_0.2.0-1.ca2004.1_all.deb
Size: 69256
MD5sum: 50fba76eab8305ecd6dfa0d323a57090
SHA1: 8b161355964510739ab658ddf78e61aa90ef3b27
SHA256: e284bf7234f510102aeb3b0500f73f954544d39ce865c551a86fc736233caba9
SHA512: d8b9ec5af968a6d106da87f37dd50dd3cd4a699e422feac77a36e7a6cb6ac55fd345317859ef6e566782efdf4de2fa2c2c84244ea8b63d8f21632fe814499305
Homepage: https://cran.r-project.org/package=hlidacr
Description: CRAN Package 'hlidacr' (Access Data from the 'Hlídač Státu' API)
 Provides access to datasets published by 'Hlídač státu'
 <https://www.hlidacstatu.cz/>, a Czech watchdog, via their API.

Package: r-cran-hmc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-irlba, r-cran-pma, r-cran-mass, r-cran-grpreg
Filename: pool/dists/focal/main/r-cran-hmc_1.2-1.ca2004.1_all.deb
Size: 120852
MD5sum: f32a036c6cbab598342f127db9f54858
SHA1: 1360b3c35cbc4ae4d4011858487b7ced56a2396d
SHA256: c4c84dc4a4a9af1db8fd80948fea2a36e2872ab000e9168741ca91d908aceb9a
SHA512: fd88e56afc9abd5ff281e77889571e549c4abdd82a5e24303264ab546f3a594675b983d8a3669fa10cb0504e0cd93a91b342cbaf8bbe8b520a44d3b93761ff3a
Homepage: https://cran.r-project.org/package=HMC
Description: CRAN Package 'HMC' (High-Dimensional Mean Comparison with Projection andCross-Fitting)
 Provides interpretable high-dimensional mean comparison methods (HMC).  For
 example, users can apply these methods to assess the difference in gene
 expression between two treatment groups. It is not a gene-by-gene
 comparison. Instead, the methods focus on the interplay between features and
 identify those that are predictive of the group label. The tests are valid
 frequentist procedures and yield sparse estimates indicating which features
 contribute to the group differences.

Package: r-cran-hmclearn
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1651
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesplot, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-matrix, r-cran-lme4, r-cran-cardata, r-cran-mlbench, r-cran-ggplot2, r-cran-mlmrev, r-cran-testthat, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-hmclearn_0.0.5-1.ca2004.1_all.deb
Size: 1061208
MD5sum: d8d472f1eeda0937f79eebb2f7d33266
SHA1: 15f2688cfbab858b4ee4a25bf60db23ded8d20ae
SHA256: 975b53c2ee643625ee40b48ee34cbd39c6f96e7c715be1c20e60191dde7cb297
SHA512: bfbc455d10e5383e469b62578b3f6364d3e26ba1785e05f41de78d5bf8db87f2b0309bd8e91bf88c3760fd66dcf14846f0dd2ff06757c0970d8c7857f46c08ce
Homepage: https://cran.r-project.org/package=hmclearn
Description: CRAN Package 'hmclearn' (Fit Statistical Models Using Hamiltonian Monte Carlo)
 Provide users with a framework to learn the intricacies of the Hamiltonian
 Monte Carlo algorithm with hands-on experience by tuning and fitting their
 own models.  All of the code is written in R.  Theoretical references are
 listed below:.  Neal, Radford (2011) "Handbook of Markov Chain Monte Carlo"
 ISBN: 978-1420079418, Betancourt, Michael (2017) "A Conceptual Introduction
 to Hamiltonian Monte Carlo" <arXiv:1701.02434>, Thomas, S., Tu, W. (2020)
 "Learning Hamiltonian Monte Carlo in R" <arXiv:2006.16194>, Gelman, A.,
 Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B.
 (2013) "Bayesian Data Analysis" ISBN: 978-1439840955, Agresti, Alan (2015)
 "Foundations of Linear and Generalized Linear Models ISBN: 978-1118730034,
 Pinheiro, J., Bates, D. (2006) "Mixed-effects Models in S and S-Plus" ISBN:
 978-1441903174.

Package: r-cran-hmda
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-h2o, r-cran-shapley, r-cran-autoensemble, r-cran-h2otools, r-cran-splittools, r-cran-psych, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-hmda_0.1-1.ca2004.1_all.deb
Size: 1147432
MD5sum: c8ab4361f99cb1484abfeebb2f93aa7a
SHA1: 80fd190c4576414fc19d1926007cf61f4b1a40c9
SHA256: fe5a1b58a87876fca4a54cc3a02882e49481450bf614bced5c1e59bcc66d67b2
SHA512: 7480411d8b241e00d9a68b69e89212e893cf0e72916e5f083e6b993c2bfad054ca831069faa3c9ef53faf8cf213e3aa91c2d49e6c027cef0666ea98da6003cf5
Homepage: https://cran.r-project.org/package=HMDA
Description: CRAN Package 'HMDA' (Holistic Multimodel Domain Analysis for Exploratory MachineLearning)
 Holistic Multimodel Domain Analysis (HMDA) is a robust and transparent
 framework designed for exploratory machine learning research, aiming to
 enhance the process of feature assessment and selection. HMDA addresses key
 limitations of traditional machine learning methods by evaluating the
 consistency across multiple high-performing models within a fine-tuned
 modeling grid, thereby improving the interpretability and reliability of
 feature importance assessments. Specifically, it computes Weighted Mean
 SHapley Additive exPlanations (WMSHAP), which aggregate feature
 contributions from multiple models based on weighted performance metrics.
 HMDA also provides confidence intervals to demonstrate the stability of
 these feature importance estimates. This framework is particularly
 beneficial for analyzing complex, multidimensional datasets common in health
 research, supporting reliable exploration of mental health outcomes such as
 suicidal ideation, suicide attempts, and other psychological conditions.
 Additionally, HMDA includes automated procedures for feature selection based
 on WMSHAP ratios and performs dimension reduction analyses to identify
 underlying structures among features. For more details see Haghish (2025)
 <doi:10.13140/RG.2.2.32473.63846>.

Package: r-cran-hmdhfdplus
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-rvest, r-cran-dplyr, r-cran-janitor, r-cran-lubridate, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-hmdhfdplus_2.0.6-1.ca2004.1_all.deb
Size: 79128
MD5sum: 600b514b411cb9b4e6439f2546905472
SHA1: 786e9baa3e19155cdc46571a73c08eb5bb33e124
SHA256: 83a4733636e9ca4eb057cb2e0eedf39b671df3b7b3693bd7bbf33afbf6646c35
SHA512: c7165c52bd60ae4097295e8717c77927a5f168aad87dac7f09ea075045b33c6b248ad9f319886d25dbd6281425699b8067000fb4a848e5b156d1dcd987e4b6c6
Homepage: https://cran.r-project.org/package=HMDHFDplus
Description: CRAN Package 'HMDHFDplus' (Read Human Mortality Database and Human Fertility Database Datafrom the Web)
 Utilities for reading data from the Human Mortality Database
 (<https://www.mortality.org>), Human Fertility Database
 (<https://www.humanfertility.org>), and similar databases from the web or
 locally into an R session as data.frame objects. These are the two most
 widely used sources of demographic data to study basic demographic change,
 trends, and develop new demographic methods. Other supported databases at
 this time include the Human Fertility Collection
 (<https://www.fertilitydata.org>), The Japanese Mortality Database
 (<https://www.ipss.go.jp/p-toukei/JMD/index-en.html>), and the Canadian
 Human Mortality Database (<http://www.bdlc.umontreal.ca/chmd/>). Arguments
 and data are standardized.

Package: r-cran-hmeasure
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-class, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hmeasure_1.0-2-1.ca2004.1_all.deb
Size: 381268
MD5sum: 7744180a09a1b6260a3a80397cd47b58
SHA1: cdf3eb25ce74d6323ec1e6038f3345e8b21d7501
SHA256: 4253fd1c709be8166555c1975dd0f50dc4cdd9c4163d6e7e3d8cd11b9bd02e55
SHA512: ee6cda6fb2dec36c211430e970f3a3ece471e3aac35ea562ee03f22da544e9b618d21d535d8d67fabefaa21bede594617648e1773e698c84e37d53aba8bbaab9
Homepage: https://cran.r-project.org/package=hmeasure
Description: CRAN Package 'hmeasure' (The H-Measure and Other Scalar Classification PerformanceMetrics)
 Classification performance metrics that are derived from the ROC curve of a
 classifier. The package includes the H-measure performance metric as
 described in <http://link.springer.com/article/10.1007/s10994-009-5119-5>,
 which computes the minimum total misclassification cost, integrating over
 any uncertainty about the relative misclassification costs, as per a
 user-defined prior. It also offers a one-stop-shop for other scalar metrics
 of performance, including sensitivity, specificity and many others, and also
 offers plotting tools for ROC curves and related statistics.

Package: r-cran-hmer
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2, r-cran-lhs, r-cran-mass, r-cran-r6, r-cran-viridis, r-cran-mvtnorm, r-cran-ggally, r-cran-rlang, r-cran-isoband, r-cran-cluster, r-cran-pdist, r-cran-ggbeeswarm, r-cran-stringr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-desolve, r-cran-testthat, r-cran-covr, r-cran-progressr
Filename: pool/dists/focal/main/r-cran-hmer_1.6.0-1.ca2004.1_all.deb
Size: 3143564
MD5sum: a30160e454480890df55cc265178a4b4
SHA1: a3f5ce06cf5fc1036f4a855b11a52fd01649b8e2
SHA256: fb1a7ddf31736775f617db1028985450fcaf987bd4b9a0402030ae94ea8ca63f
SHA512: 241c1574c7061b5e4e4a0c292ca85b81a9db536dc0113234b8d78c28fa4805b7bd5206be35b89a765f4d3f8463a400df4ce9bc6f632f1efb85393f5b780ebd84
Homepage: https://cran.r-project.org/package=hmer
Description: CRAN Package 'hmer' (History Matching and Emulation Package)
 A set of objects and functions for Bayes Linear emulation and history
 matching.  Core functionality includes automated training of emulators to
 data, diagnostic functions to ensure suitability, and a variety of proposal
 methods for generating 'waves' of points.  For details on the mathematical
 background, there are many papers available on the topic (see references
 attached to function help files or the below references); for details of the
 functions in this package, consult the manual or help files.  Iskauskas, A,
 et al. (2024) <doi:10.18637/jss.v109.i10>.  Bower, R.G., Goldstein, M., and
 Vernon, I. (2010) <doi:10.1214/10-BA524>.  Craig, P.S., Goldstein, M.,
 Seheult, A.H., and Smith, J.A. (1997) <doi:10.1007/978-1-4612-2290-3_2>.

Package: r-cran-hmi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 984
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-broom.mixed, r-cran-coda, r-cran-linlir, r-cran-lme4, r-cran-matrix, r-cran-mcmcglmm, r-cran-mice, r-cran-msm, r-cran-mvtnorm, r-cran-nlme, r-cran-nnet, r-cran-ordinal, r-cran-rlang, r-cran-tmvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hmi_1.0.0-1.ca2004.1_all.deb
Size: 787924
MD5sum: 6e21f8f35579170dbd83a2463fa4257f
SHA1: 4088476c0b2263223f6c5f8ab2643a4d06681df4
SHA256: 36289e1a80b7865c1e2622e074224c2e32ddae7ea1df3ddac910aaa6c408efaf
SHA512: 8308260123324bf6e264f3dc261c3d0e17228ebcd6f0feea3738e5acfa7623805b4097118cfc370559dbf5eae91afb90209a3b5e842fc548c5d12fe8f187ac49
Homepage: https://cran.r-project.org/package=hmi
Description: CRAN Package 'hmi' (Hierarchical Multiple Imputation)
 Runs single level and multilevel imputation models as described in Speidel,
 Drechsler and Jolani (2020) <doi:10.18637/jss.v095.i09>. The user just has
 to pass the data to the main function and, optionally, his analysis model.
 Basically the package then translates this analysis model into commands to
 impute the data according to it with functions from 'mice', 'MCMCglmm' or
 routines build for this package.

Package: r-cran-hmix
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-normalp, r-cran-glogis, r-cran-gld, r-cran-edfun, r-cran-purrr, r-cran-hmm, r-cran-mc2d, r-cran-cubature, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hmix_1.0.2-1.ca2004.1_all.deb
Size: 49432
MD5sum: 90097e269db2d9e49a244be5f0634467
SHA1: b66cfe40011c94d96a5839058ae7f6d93ae70d12
SHA256: b58336987137e2402a739325112f82c0fd888ced8b3b800850e647cb86612980
SHA512: 9687829202cbf60d3903fb471fc3d7ae5b303d67df2a7c8399aa1ae42e023b6b4c754651522d5f70fa0dd020914593eef1150fbd9562d975cd4f056e467f8be8
Homepage: https://cran.r-project.org/package=hmix
Description: CRAN Package 'hmix' (Hidden Markov Model for Predicting Time Sequences with MixtureSampling)
 An algorithm for time series analysis that leverages hidden Markov models,
 cluster analysis, and mixture distributions to segment data, detect patterns
 and predict future sequences.

Package: r-cran-hmm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hmm_1.0.2-1.ca2004.1_all.deb
Size: 58336
MD5sum: 412dd506f2247166fb09d7cf69215711
SHA1: aa1a618954aeccedbdcdbc0faba4aececa45b01f
SHA256: 5fba999c11f6d93d21d67d80b3d096479acd9e602151de55cc731a93bb142379
SHA512: e851c2c3dee0b144dee8c1e03fede21dc4a4318df4ebdaf02a6ba294f868b120b2799e47892d924ae69c51b5ee8cf6cc4f1524a74eaefd085f6db0d998ddcabb
Homepage: https://cran.r-project.org/package=HMM
Description: CRAN Package 'HMM' (Hidden Markov Models)
 Easy to use library to setup, apply and make inference with discrete time
 and discrete space Hidden Markov Models.

Package: r-cran-hmmcont
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hmmcont_1.0-1.ca2004.1_all.deb
Size: 51848
MD5sum: bcc7d5c0710650b20c6905d756a6249f
SHA1: 92b02549cae13bd3054ada800e4c501c09d4b232
SHA256: 7c9d493dce4b64662c8d6ff626913e335d1e9445f1b8b8ebac1962111c316fe6
SHA512: b6272c498a7b3c93faf1b79d61ec43af36b725413a8208842af9f4ae70d5279824a9ded8ebdd120b60499719bd8c579d208454bf0a40b3a0ad07954a2a252d44
Homepage: https://cran.r-project.org/package=HMMCont
Description: CRAN Package 'HMMCont' (Hidden Markov Model for Continuous Observations Processes)
 The package includes the functions designed to analyse continuous
 observations processes with the Hidden Markov Model approach. They include
 Baum-Welch and Viterbi algorithms and additional visualisation functions.
 The observations are assumed to have Gaussian distribution and to be weakly
 stationary processes. The package was created for analyses of financial time
 series, but can also be applied to any continuous observations processes.

Package: r-cran-hmmcopula
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-foreach, r-cran-doparallel, r-cran-copula
Filename: pool/dists/focal/main/r-cran-hmmcopula_1.1.0-1.ca2004.1_all.deb
Size: 113040
MD5sum: 400e7d9eeace75f070f94ac14617b3d4
SHA1: 2e8de97982276c2bc031c1f84eb2d8fc2c68d0a1
SHA256: 5470ec91e8a3672d2454bcf846e56814611c32cdf33948a4b76407e86587854e
SHA512: b997212dad7d0211fe3eb8da7e672d2af97a85ab8eea64acc8125aa9c7c707b721d214e3b9ae302ed1c8408e7768f235ee83222ec948186a234dc6e69a9c68e7
Homepage: https://cran.r-project.org/package=HMMcopula
Description: CRAN Package 'HMMcopula' (Markov Regime Switching Copula Models Estimation andGoodness-of-Fit)
 Estimation procedures and goodness-of-fit test for several Markov regime
 switching models and mixtures of bivariate copula models. The
 goodness-of-fit test is based on a Cramer-von Mises statistic and uses
 Rosenblatt's transform and parametric bootstrap to estimate the p-value. The
 proposed methodologies are described in Nasri, Remillard and Thioub (2020)
 <doi:10.1002/cjs.11534>.

Package: r-cran-hmmm
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-mass, r-cran-mvtnorm, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-hmmm_1.0-5-1.ca2004.1_all.deb
Size: 640180
MD5sum: 1a90b8fac2fc6da7a6d8a8d9ddd14bc3
SHA1: 75120596be35a851dc932a19d64bd5f1367dbdd1
SHA256: 3f1051705e327c8bb6a829f3d97c65411541fb9854cc21d897a9c0457ae26b60
SHA512: ed093dc5a996566a9070eb89d6699686a8e41cd39c76eaed045163216938c182ad0241c82b275e8387414c3106added97cf42485af45f69271c43ca3e812a0d6
Homepage: https://cran.r-project.org/package=hmmm
Description: CRAN Package 'hmmm' (Hierarchical Multinomial Marginal Models)
 Functions for specifying and fitting marginal models for contingency tables
 proposed by Bergsma and Rudas (2002) <doi:10.1214/aos/1015362188> here
 called hierarchical multinomial marginal models (hmmm) and their extensions
 presented by Bartolucci, Colombi and Forcina (2007)
 <https://www.jstor.org/stable/24307737>; multinomial Poisson homogeneous
 (mph) models and homogeneous linear predictor (hlp) models for contingency
 tables proposed by Lang (2004) <doi:10.1214/aos/1079120140> and Lang (2005)
 <doi:10.1198/016214504000001042>. Inequality constraints on the parameters
 are allowed and can be tested.

Package: r-cran-hmmpa
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hmmpa_1.0.2-1.ca2004.1_all.deb
Size: 190588
MD5sum: 7b085e022fb2ffc1f08518a977dd5519
SHA1: 4a4059648e0bd40731cc01010594bf58ca5d6cd9
SHA256: 82dcd204fd3a6c6467b8bbfa8d311953bd15773f637e2cb1a104da69672422eb
SHA512: 276f5ad13c5012f35885de10421e5431707fc5af7eeeec254047b2662a2052e21408dcf7e5aa440bdaf84c8fd4591bc97a7758feaaf150d178e63ffc52370641
Homepage: https://cran.r-project.org/package=HMMpa
Description: CRAN Package 'HMMpa' (Analysing Accelerometer Data Using Hidden Markov Models)
 Analysing time-series accelerometer data to quantify length and intensity of
 physical activity using hidden Markov models.  It also contains the
 traditional cut-off point method.  Witowski V, Foraita R, Pitsiladis Y,
 Pigeot I, Wirsik N (2014).  <doi:10.1371/journal.pone.0114089>.

Package: r-cran-hmmr
Architecture: all
Version: 1.0-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-depmixs4
Suggests: r-cran-boot
Filename: pool/dists/focal/main/r-cran-hmmr_1.0-0.1-1.ca2004.1_all.deb
Size: 438508
MD5sum: 257a389ced86db0d3cd12d955839bd63
SHA1: 1e3c7e06c9b1a802ed0e79bd77c10df2b20390d3
SHA256: 2a81cdafcc2ba6beb8ca089cf5a99f37b84b48f4de344b0b11e0b4b9d502fcc3
SHA512: e8e1e3da8024d627aa88a9e0085bcf520842fba44ffd171f661ff4f99f7f26532abb067fdab7457f0bc580db2f9beaadc090185dfcca4fcb795f21958ae1818b
Homepage: https://cran.r-project.org/package=hmmr
Description: CRAN Package 'hmmr' ("Mixture and Hidden Markov Models with R" Datasets and ExampleCode)
 Datasets and code examples that accompany our book Visser & Speekenbrink
 (2021), "Mixture and Hidden Markov Models with R",
 <https://depmix.github.io/hmmr/>.

Package: r-cran-hmmrel
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hmmrel_0.1.1-1.ca2004.1_all.deb
Size: 76404
MD5sum: cfd2be37ee0f650e3cb2372299c992e3
SHA1: 0bae72be7726a232a171e65878efab6e4c978afd
SHA256: 62ad83bd4b6c203338b98e41acf45d0c14915e377123c84e2bb232be68722cb3
SHA512: f70d47506dea7db8fada7b6c2b6d7364863aaa81ff5ae526234c05f4bfea4fca8c9d75e0a696a04875bbdfbfa7092a732760de3662c951003d343e314a73c12e
Homepage: https://cran.r-project.org/package=HMMRel
Description: CRAN Package 'HMMRel' (Hidden Markov Models for Reliability and Maintenance)
 Reliability Analysis and Maintenance Optimization using Hidden Markov Models
 (HMM). The use of HMMs to model the state of a system which is not directly
 observable and instead certain indicators (signals) of the true situation
 are provided via a control system. A hidden model can provide key
 information about the system dependability, such as the reliability of the
 system and related measures. An estimation procedure is implemented based on
 the Baum-Welch algorithm. Classical structures such as K-out-of-N systems
 and Shock models are illustrated. Finally, the maintenance of the system is
 considered in the HMM context and two functions for new preventive
 maintenance strategies are considered. Maintenance efficiency is measured in
 terms of expected cost. Methods are described in Gamiz, Limnios, and
 Segovia-Garcia (2023) <doi:10.1016/j.ejor.2022.05.006>.

Package: r-cran-hmp
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dirmult, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel, r-cran-mass, r-cran-vegan, r-cran-gplots, r-cran-rpart, r-cran-rpart.plot, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-hmp_2.0.1-1.ca2004.1_all.deb
Size: 362364
MD5sum: b766100d8d0c96f37370135c6de0b97e
SHA1: 8a5b698cab28f871659b98b4da68a659b6b17350
SHA256: d1e61738eb4901c1fdba0500d4008d4ff1a4d9f78a380173a52afc30f6ae223c
SHA512: 2386fc082fdc1fde7f9dbf13a7f26bba15ad5b333e97e767c0ff37dbb10f7b261664e58b17953d7993b69be188bb3bd47d786f96e6c19e51529fd09e0f183195
Homepage: https://cran.r-project.org/package=HMP
Description: CRAN Package 'HMP' (Hypothesis Testing and Power Calculations for ComparingMetagenomic Samples from HMP)
 Using Dirichlet-Multinomial distribution to provide several functions for
 formal hypothesis testing, power and sample size calculations for human
 microbiome experiments.

Package: r-cran-hmptrees
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-hmp, r-cran-dirmult, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-hmptrees_1.4-1.ca2004.1_all.deb
Size: 204096
MD5sum: 28ab60e6847b475babe2fe42ceaa4e6a
SHA1: 0b77a0c4cedbac203b2c301432e648dc3f411925
SHA256: ec54cf2674e94c1604c71aef355d90e1921946a3a5c9c5781e51cbf149ac0834
SHA512: abb7da842898f610c77814023d2b80ab864b5b39377807860dd75f23cb9408152baf5a2945a354493b0f811817152cc80631ff53861ea8113df296045d159208
Homepage: https://cran.r-project.org/package=HMPTrees
Description: CRAN Package 'HMPTrees' (Statistical Object Oriented Data Analysis of RDP-Based TaxonomicTrees from Human Microbiome Data)
 Tools to model, compare, and visualize populations of taxonomic tree
 objects.

Package: r-cran-hmr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hmr_1.0.4-1.ca2004.1_all.deb
Size: 343236
MD5sum: 6c60ed1216b97ab7312b20ed521580db
SHA1: aec467b54550db4d228690438c1619c3d7c7949f
SHA256: d6be29b2fd1d32d9f382b6341d6acdaa273c561c9258eddb439db2eea9a22688
SHA512: 84ba1a8ce1228e2b3be0a5700618c857e9d7af3821cacf32945179608be7e68ebb5567a302bdadc68e478c10a58989456b6cc88b03c587d353eb49352c5facde
Homepage: https://cran.r-project.org/package=HMR
Description: CRAN Package 'HMR' (Flux Estimation with Static Chamber Data)
 Statistical analysis of static chamber concentration data for trace gas flux
 estimation.

Package: r-cran-hms
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lifecycle, r-cran-pkgconfig, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-crayon, r-cran-lubridate, r-cran-pillar, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hms_1.1.3-1.ca2004.1_all.deb
Size: 97008
MD5sum: d634dca31e8e5378684aab699353cfb8
SHA1: 77f50d33a99304233a85ed77f6ff463e6697014d
SHA256: dd70e5d1019befb43cd319a5860df0929b1addfa689ba676ce83a16ce4fe31e0
SHA512: c3bb03f47c9015c0d9bdd2fe1cf6c2cf5e6a73a421c77484b935e7de55dfec760176b768570d3b490fa2dd758f824f3df873267ce7a643eee55dcc848c54c7ce
Homepage: https://cran.r-project.org/package=hms
Description: CRAN Package 'hms' (Pretty Time of Day)
 Implements an S3 class for storing and formatting time-of-day values, based
 on the 'difftime' class.

Package: r-cran-hmsc
Architecture: all
Version: 3.0-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-coda, r-cran-abind, r-cran-ape, r-cran-bayeslogit, r-cran-fields, r-cran-fnn, r-cran-ggplot2, r-cran-mass, r-cran-matrix, r-cran-matrixstats, r-cran-mcmcpack, r-cran-nnet, r-cran-rlang, r-cran-pracma, r-cran-proc, r-cran-sp, r-cran-statmod, r-cran-truncnorm
Suggests: r-cran-r.rsp, r-cran-testthat, r-cran-corrplot
Filename: pool/dists/focal/main/r-cran-hmsc_3.0-13-1.ca2004.1_all.deb
Size: 2577580
MD5sum: d1125cfdf16617bfa5da4fdd2220b961
SHA1: c6dd3debc43e35f3080e8ee87cb63392233c05f6
SHA256: 94b951f54ed84694f525fcaca9c7d30fbd33dbeb7e8e4de636ade112d56faf02
SHA512: c83d1727a9185985f62f042487dfeb15baea922759062abb3017bdfca78bd55242609423835e47072bdeda4042ab1c5cd517297c8e644ae177723fcb5e5116a1
Homepage: https://cran.r-project.org/package=Hmsc
Description: CRAN Package 'Hmsc' (Hierarchical Model of Species Communities)
 Hierarchical Modelling of Species Communities (HMSC) is a model-based
 approach for analyzing community ecological data.  This package implements
 it in the Bayesian framework with Gibbs Markov chain Monte Carlo (MCMC)
 sampling (Tikhonov et al. (2020) <doi:10.1111/2041-210X.13345>).

Package: r-cran-hmsidwr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6264
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gstat, r-cran-purrr, r-cran-showtext, r-cran-sysfonts, r-cran-tibble
Suggests: r-cran-devtools, r-cran-dplyr, r-cran-geomtextpath, r-cran-ggthemes, r-cran-httr, r-cran-janitor, r-cran-knitr, r-cran-lubridate, r-cran-maps, r-cran-pkgdown, r-cran-plotly, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-sf, r-cran-testthat, r-cran-tidyr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-hmsidwr_1.1.2-1.ca2004.1_all.deb
Size: 3075112
MD5sum: 0a27937b61903013bb8385b29b58de95
SHA1: f1886949371c0f8b15a79120b8c2d065df0ac0e3
SHA256: 3d9e7b88c0745a1866fdfae35d7ac966db408c074e15f9b6676556657c43e733
SHA512: 7a8a5eb1c7d92c368014466ff1724cb2be83ea2d8c1115700bb5af8707b43abe8c84dded09ccf3e9af9a0c0bac992e08aeb49260373fe687a647a476f1bd34fb
Homepage: https://cran.r-project.org/package=hmsidwR
Description: CRAN Package 'hmsidwR' (Health Metrics and the Spread of Infectious Diseases)
 A collection of datasets and supporting functions accompanying Health
 Metrics and the Spread of Infectious Diseases by Federica Gazzelloni (2024).
 This package provides data for health metrics calculations, including
 Disability-Adjusted Life Years (DALYs), Years of Life Lost (YLLs), and Years
 Lived with Disability (YLDs), as well as additional tools for analyzing and
 visualizing health data. Federica Gazzelloni (2024)
 <doi:10.5281/zenodo.10818338>.

Package: r-cran-hmsr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ga, r-cran-msm, r-cran-uuid
Suggests: r-cran-testthat, r-cran-ecr, r-cran-filelock, r-cran-doparallel, r-cran-smoof
Filename: pool/dists/focal/main/r-cran-hmsr_1.0.1-1.ca2004.1_all.deb
Size: 235616
MD5sum: ce64cccf2252bf3c4ac6d10e8f9b5b40
SHA1: 0e9173b4e9e984e44edaabdbc02f827276019073
SHA256: 3335cd4ae5807d0c9a8b09e40e3b3350636edc6f5207cd565d5ddae77a7abfe0
SHA512: 44b98bf64e14dc759cd6266a75b48c2e8c6427b8de812b7eb54460d963a57e7eb26f516aa7aaaae32f464c4f8ea0cff6dc4498bda6524dfd1f86e36b5b69a699
Homepage: https://cran.r-project.org/package=hmsr
Description: CRAN Package 'hmsr' (Multipopulation Evolutionary Strategy HMS)
 The HMS (Hierarchic Memetic Strategy) is a composite global optimization
 strategy consisting of a multi-population evolutionary strategy and some
 auxiliary methods. The HMS makes use of a dynamically-evolving data
 structure that provides an organization among the component populations. It
 is a tree with a fixed maximal height and variable internal node degree.
 Each component population is governed by a particular evolutionary engine.
 This package provides a simple R implementation with examples of using
 different genetic algorithms as the population engines. References: J.
 Sawicki, M. Łoś, M. Smołka, J. Alvarez-Aramberri (2022)
 <doi:10.1007/s11047-020-09836-w>.

Package: r-cran-hmstimer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hms, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-hmstimer_0.3.0-1.ca2004.1_all.deb
Size: 67584
MD5sum: 9725f83232c68c17cff3d814b0f8078f
SHA1: dd03773898def0428fd64eb8559a56dae25c387d
SHA256: 18841c2b58885c8793348a0a6f36813c070f64be36ff5231c834363759483181
SHA512: 599c2b8f028a702bae2d26fb0caf6ba7ebb481f30fc311eedda5eb0faeebd3087463c92ca0470b5c0c71f3f3338950d75b2c7e0890250ceca71c5d63f34e09b1
Homepage: https://cran.r-project.org/package=hmstimer
Description: CRAN Package 'hmstimer' ('hms' Based Timer)
 Tracks elapsed clock time using a `hms::hms()` scalar.  It was was
 originally developed to time Bayesian model runs.  It should not be used to
 estimate how long extremely fast code takes to execute as the package code
 adds a small time cost.

Package: r-cran-hmtl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4785
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-proc
Filename: pool/dists/focal/main/r-cran-hmtl_0.1.0-1.ca2004.1_all.deb
Size: 4864164
MD5sum: 9858327370eaef866223e0bde11b1775
SHA1: b201272a13cf1034cdbbea0e9b239d3f33f862fa
SHA256: efd58f6a6979bcc1df966a5915c08b24ec777b0b065ae263edae627e78740e20
SHA512: 48206b3097e16199b29591656a644529771ae4c697ae58430a2246757ffe61c5c3c37b55750996825dbe41e752537eda9eed96293f72c793aa748f72f7994a24
Homepage: https://cran.r-project.org/package=HMTL
Description: CRAN Package 'HMTL' (Heterogeneous Multi-Task Feature Learning)
 The heterogeneous multi-task feature learning is a data integration method
 to conduct joint feature selection across multiple related data sets with
 different distributions. The algorithm can combine different types of
 learning tasks, including linear regression, Huber regression, adaptive
 Huber, and logistic regression. The modified version of Bayesian Information
 Criterion (BIC) is produced to measure the model performance. Package is
 based on Yuan Zhong, Wei Xu, and Xin Gao (2022)
 <https://www.fields.utoronto.ca/talk-media/1/53/65/slides.pdf>.

Package: r-cran-hmvd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-hmvd_1.0-1.ca2004.1_all.deb
Size: 58392
MD5sum: bf70bfdd2cb25cd7ae8f06f346f496b4
SHA1: 54c1c742abac51f12bed48b272bace918a16a023
SHA256: d1f1fcf65e5993733bc71d329f57da537949fc68bd048a3066e362e405415343
SHA512: 13f097ed5a8cc07be8d232e9a5fdabbef72179031c600ac26e87e12fe645218993eeded1284007f6be50290af3b7bc666b7bee6acbd59cfd53e079e4cd36d08d
Homepage: https://cran.r-project.org/package=HMVD
Description: CRAN Package 'HMVD' (Group Association Test using a Hidden Markov Model)
 Perform association test between a group of variable and the outcome.

Package: r-cran-hnmf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nmf, r-cran-oro.nifti, r-cran-nnls, r-cran-rasterimage, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hnmf_1.0-1.ca2004.1_all.deb
Size: 88884
MD5sum: 8d49dfd4cab579060e6751d23e218b15
SHA1: 484c0b3f70d98caa9d36e22d191189bb105f8a22
SHA256: 9e7ae8b4fb9f7e469489837b078d692673ded81dab03fda7e4799cefd6b17c7d
SHA512: 129a63d519ff66b98c7c15ceaf8a7f437408ae92881d1d9e5f5cb2e1f7ded9ba7e1c0ecf9a67e04cc5264194dd56616886a45b55cf8d3cef06b8744fa7655b1d
Homepage: https://cran.r-project.org/package=hNMF
Description: CRAN Package 'hNMF' (Hierarchical Non-Negative Matrix Factorization)
 Hierarchical and single-level non-negative matrix factorization. Several NMF
 algorithms are available.

Package: r-cran-hnp
Architecture: all
Version: 1.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-lme4, r-cran-gamlss, r-cran-gamlss.dist, r-cran-pscl, r-cran-nnet, r-cran-aods3, r-cran-vgam, r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-hnp_1.2-7-1.ca2004.1_all.deb
Size: 169296
MD5sum: 6f03e639ba36bbc7693a92ad1619467f
SHA1: 7496b4266d1db1b5b5b76b509308255f5043430b
SHA256: 47bf61ff5d0c1e5ab8538f3093c1dbbf1b33a0c3d88967f0cd199e7a26dc032b
SHA512: fb8349e73d761f70a69907adf408818112784103057cb6212fcbbc000c09cfda23f28f46ccf0804482cec557b8a596638ddcb49aae3d77b222060fd2b3c204f6
Homepage: https://cran.r-project.org/package=hnp
Description: CRAN Package 'hnp' (Half-Normal Plots with Simulation Envelopes)
 Generates (half-)normal plots with simulation envelopes using different
 diagnostics from a range of different fitted models. A few example datasets
 are included.

Package: r-cran-hoa
Architecture: all
Version: 2.1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod, r-cran-survival
Suggests: r-cran-boot, r-cran-csampling
Filename: pool/dists/focal/main/r-cran-hoa_2.1.4.1-1.ca2004.1_all.deb
Size: 1122108
MD5sum: 4ffd8f44f34b12be199f216f1b159fe7
SHA1: 3c5eb36c7ce3a3757caa007ccf5a13acae073f31
SHA256: 4d159e419a8b31e931922c62fd7c1ec91064693e63af9b878f2ab277e63fbe24
SHA512: 005bfeaa0d735a4790e944228d76a20244fb8970fde1a6711186291a63d3ea4956e3356bb72909cf2df0a011def7aa8bc5716de5edb04fc1024935daa2afa0c4
Homepage: https://cran.r-project.org/package=hoa
Description: CRAN Package 'hoa' (Higher Order Likelihood Inference)
 Performs likelihood-based inference for a wide range of regression models.
 Provides higher-order approximations for inference based on extensions of
 saddlepoint type arguments as discussed in the book Applied Asymptotics:
 Case Studies in Small-Sample Statistics by Brazzale, Davison, and Reid
 (2007).

Package: r-cran-hoarder
Architecture: all
Version: 0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-bamsignals, r-bioc-biostrings, r-cran-data.table, r-bioc-genomicranges, r-cran-genomictools.filehandler, r-cran-httr, r-bioc-iranges, r-cran-kernsmooth, r-cran-knitr, r-cran-mass, r-cran-r.utils, r-cran-rcurl, r-cran-rmarkdown, r-bioc-rsamtools, r-bioc-s4vectors, r-cran-seqinr, r-cran-stringr, r-cran-xml
Filename: pool/dists/focal/main/r-cran-hoarder_0.10-1.ca2004.1_all.deb
Size: 440048
MD5sum: 4779d3a0fb6b449562c5e17bfe88298a
SHA1: 1dcb307f4ce1d7064fafd0013311f7fe0c51cccb
SHA256: 4546b39b471d053fd41e2cb7917efe01b8e347d9d66a01c254a33ee9ff469047
SHA512: e55e7a46cb8ca13bd7da5ab78a91443fa173f5ea2eed1405333e0da7e80e333bf47105fb58195d8674415f924731fbcd76dc18909f56d357bf22debd85c430da
Homepage: https://cran.r-project.org/package=hoardeR
Description: CRAN Package 'hoardeR' (Collect and Retrieve Annotation Data for Various Genomic DataUsing Different Webservices)
 Cross-species identification of novel gene candidates using the NCBI web
 service is provided. Further, sets of miRNA target genes can be identified
 by using the targetscan.org API.

Package: r-cran-hoardr
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1882
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rappdirs, r-cran-digest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hoardr_0.5.5-1.ca2004.1_all.deb
Size: 557660
MD5sum: f0527d3271b1bca2e2296489ddd6679a
SHA1: 4b6a90a411b23fd7909465d9179be95c7b6a635e
SHA256: d34c556afd031d21e6cf6ae0f1db1c467aaa51fbb1d5e551afffea2204f95f58
SHA512: ded7d60448c3979215edaa3a57df7069d6bcbe4316ec147fa8f24afb1e15d836feece912c0fb8e8599d57b3b40f59d415a75e8014a3c41b4e1fda6c10f2c16d1
Homepage: https://cran.r-project.org/package=hoardr
Description: CRAN Package 'hoardr' (Manage Cached Files)
 Suite of tools for managing cached files, targeting use in other R packages.
 Uses 'rappdirs' for cross-platform paths.  Provides utilities to manage
 cache directories, including targeting files by path or by key; cached
 directories can be compressed and uncompressed easily to save disk space.

Package: r-cran-hoasso
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-hoasso_1.0.1-1.ca2004.1_all.deb
Size: 25896
MD5sum: 3620fd919353d8ccb50647198dd405d4
SHA1: 62159eea2b1e09a39886931ddd48ab706d191c5d
SHA256: 808e362eb16eb6ea4d13e78758780d46f9dd8c3e905f5233849199e23a81b1d2
SHA512: 01e90c35ab22dbe067c0c823405e6fe7a001f6ab91a89e1460db0ceabd39d0702fdf26904ae6073e274cbeeb714ae58543c0aa41d7fee7fe57156f370c1cbf04
Homepage: https://cran.r-project.org/package=HOasso
Description: CRAN Package 'HOasso' (Higher Order Assortativity for Complex Networks)
 Allows to evaluate Higher Order Assortativity of complex networks defined
 through objects of class 'igraph' from the package of the same name. The
 package returns a result also for directed and weighted graphs. References,
 Arcagni, A., Grassi, R., Stefani, S., & Torriero, A. (2017)
 <doi:10.1016/j.ejor.2017.04.028> Arcagni, A., Grassi, R., Stefani, S., &
 Torriero, A. (2021) <doi:10.1016/j.jbusres.2019.10.008> Arcagni, A.,
 Cerqueti, R., & Grassi, R. (2023) <doi:10.48550/arXiv.2304.01737>.

Package: r-cran-hockeyr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3837
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-magrittr, r-cran-lubridate, r-cran-purrr, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo, r-cran-xgboost, r-cran-padr
Suggests: r-cran-ggimage, r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-sportyr
Filename: pool/dists/focal/main/r-cran-hockeyr_1.3.0-1.ca2004.1_all.deb
Size: 3169568
MD5sum: 54b1f32d9f134c19301cef2a32ca5ca8
SHA1: 3c8316259e6279ead74668790d396aa6528b14e4
SHA256: e57c8fa299ff863a0a67e87e3a1ee4b89a69766ce0f38ff77395ea2d926da823
SHA512: 88110549767b78c2e61edd7705de3ce636746a9d64b8f059c7cbe9a2c1d78a36b33d0038298c2feaf3f96dd1c9dd33534ba87798f09da4badd129454712a0a55
Homepage: https://cran.r-project.org/package=hockeyR
Description: CRAN Package 'hockeyR' (Collect and Clean Hockey Stats)
 Various functions to scrape hockey play-by-play data from the
 <https://www.nhl.com/>. It also contains functions to scrape data from
 <https://www.hockey-reference.com/>, including standings, player stats, and
 jersey number history.

Package: r-cran-hockeystick
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lubridate, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-patchwork, r-cran-scales, r-cran-rvest, r-cran-tibble, r-cran-treemapify, r-cran-rcolorbrewer, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-spelling, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-hockeystick_0.8.5-1.ca2004.1_all.deb
Size: 3310728
MD5sum: 7cd1a3e6d1a9c106dcb0b00a7bcb5eb7
SHA1: 97c649ff0d9ee218431f64b833063d7cf8439037
SHA256: dd38720156a0fab13a243eba34c9cd4a8e073d1fac00581f1274cc165bdfc59e
SHA512: 1605b8c7991e2b94d9e4ae484bfc26185389d539dffd9496ee8bc57da514c44d2ac82614a35592d3ca9a58a3b0cf559c2ff0181fe2337e06aaea3223e1f84766
Homepage: https://cran.r-project.org/package=hockeystick
Description: CRAN Package 'hockeystick' (Download and Visualize Essential Climate Change Data)
 Provides easy access to essential climate change datasets to non-climate
 experts. Users can download the latest raw data from authoritative sources
 and view it via pre-defined 'ggplot2' charts. Datasets include atmospheric
 CO2, methane, emissions, instrumental and proxy temperature records, sea
 levels, Arctic/Antarctic sea-ice, Hurricanes, and Paleoclimate data. Sources
 include: NOAA Mauna Loa Laboratory
 <https://gml.noaa.gov/ccgg/trends/data.html>, Global Carbon Project
 <https://www.globalcarbonproject.org/carbonbudget/>, NASA GISTEMP
 <https://data.giss.nasa.gov/gistemp/>, National Snow and Sea Ice Data Center
 <https://nsidc.org/home>, CSIRO
 <https://research.csiro.au/slrwavescoast/sea-level/measurements-and-data/sea-level-data/>,
 NOAA Laboratory for Satellite Altimetry
 <https://www.star.nesdis.noaa.gov/socd/lsa/SeaLevelRise/> and HURDAT
 Atlantic Hurricane Database
 <https://www.aoml.noaa.gov/hrd/hurdat/Data_Storm.html>, Vostok Paleo carbon
 dioxide and temperature data: <doi:10.3334/CDIAC/ATG.009>.

Package: r-cran-hodgestools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3160
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-readr, r-cran-ini, r-cran-qqman, r-cran-data.table, r-cran-recordlinkage
Filename: pool/dists/focal/main/r-cran-hodgestools_1.0.0-1.ca2004.1_all.deb
Size: 277220
MD5sum: c69e99a85761cf2925c3214115c2679d
SHA1: cea7ed6da0cf16b71cd9feb77580177aae08a167
SHA256: 047858e4b933a66221fb8eb6467de6d84bfbf1769efd648e64f0eef9bae1cc06
SHA512: b9829604ec211024ba8d18fdb40bbcdc992e98a154c3840eae77a7b0d4cd52d13558041955a700aae0545fbd613ff0e55099ccb2d7d88e0fa494bf8d0f914332
Homepage: https://cran.r-project.org/package=HodgesTools
Description: CRAN Package 'HodgesTools' (Common Use Tools for Genomic Analysis)
 Built by Hodges lab members for current and future Hodges lab members. Other
 individuals are welcome to use as well. Provides useful functions that the
 lab uses everyday to analyze various genomic datasets. Critically, only
 general use functions are provided; functions specific to a given technique
 are reserved for a separate package. As the lab grows, we expect to continue
 adding functions to the package to build on previous lab members code.

Package: r-cran-hoifcar
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-hoifcar_0.2.1-1.ca2004.1_all.deb
Size: 121820
MD5sum: 3494db3be63b7a2492c1af83596cdac3
SHA1: 747ae9a76585b74e3a1da836e38a388e97404f2b
SHA256: dc0f4733a0fffce3d140c81f2107c1253a25880da816386fb60eb951e32fd8df
SHA512: 24695184d8cbe237ee37211719d0aaf4d137c75a6d86acbac66a8d45d3a2bf96100c44549d2c2f121bc4425b49ab075fa6b64c4de2750eaf8921c7512dc6d25a
Homepage: https://cran.r-project.org/package=HOIFCar
Description: CRAN Package 'HOIFCar' (Covariate Adjustment in RCT by Higher-Order Influence Functions)
 Estimates treatment effects using covariate adjustment methods in Randomized
 Clinical Trials (RCT) motivated by higher-order influence functions (HOIF).
 Provides point estimates, oracle bias, variance, and approximate variance
 for HOIF-adjusted estimators. For methodology details, see Zhao et al.
 (2024) <doi:10.48550/arXiv.2411.08491>.

Package: r-cran-holdem
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-holdem_1.2-1.ca2004.1_all.deb
Size: 171624
MD5sum: 95f72f6f4432bfa94d1938248380d1fd
SHA1: c35d333077f11ca544966dd7c4dd2867d00901e1
SHA256: e95ed336feb4ead70aba8effee210e7445c90fd1a931198ee3171d95d15a134f
SHA512: a17bff72511b71a48b45cf8e525c9029c9bd654ad2b83a9584d7f4f1cde6773ba5078fee4842a2710d9e81869035c0b596a7fecca70b5053b34798f7a6cf53fb
Homepage: https://cran.r-project.org/package=holdem
Description: CRAN Package 'holdem' (Texas Holdem Simulator)
 Simulates hands and tournaments of Texas Holdem, the most popular form of
 poker.  For examples of probability problems involving Texas Holdem and a
 brief explanation of the game see Schoenberg, F. (2011).  An Introduction to
 Probability with Texas Hold'em Examples.  Taylor and Francis, New York,
 ISBN-13: 978-1439827680.

Package: r-cran-holi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-ggplot2, r-cran-likelihoodasy, r-cran-mass, r-cran-pool, r-cran-rpostgres, r-cran-shiny, r-cran-shinythemes, r-cran-sn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-holi_0.1.1-1.ca2004.1_all.deb
Size: 72212
MD5sum: f4998bb28eea8d6b3c5ebcd1e87c72d0
SHA1: 88d6af5fc560ac3f66ccd97b38d16b664098d9b4
SHA256: 3c971ff38514971a520c97f4c50bb8254389e2238401b8b6f604f12195c78739
SHA512: 0f758d86b410766cf5ebeac01b5ea2e46afb67c325a272e088cd3e52704725ed37b7839999817d11a16ef886ecd586b8ac8ec123006f9aa97e4460d6d2245289
Homepage: https://cran.r-project.org/package=holi
Description: CRAN Package 'holi' (Higher Order Likelihood Inference Web Applications)
 Higher order likelihood inference is a promising approach for analyzing
 small sample size data. The 'holi' package provides web applications for
 higher order likelihood inference. It currently supports linear, logistic,
 and Poisson generalized linear models through the rstar_glm() function,
 based on Pierce and Bellio (2017) <doi:10.1111/insr.12232> and
 'likelihoodAsy'.  The package offers two main features: LA_rstar(), which
 launches an interactive 'shiny' application allowing users to fit models
 with rstar_glm() through their web browser, and sim_rstar_glm_pgsql(), which
 streamlines the process of launching a web-based 'shiny' simulation
 application that saves results to a user-created 'PostgreSQL' database.

Package: r-cran-holiglm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1753
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-roi.plugin.ecos, r-cran-slam, r-cran-checkmate, r-cran-mass, r-cran-suppdists, r-cran-roi
Suggests: r-cran-roi.plugin.scs, r-cran-roi.plugin.clarabel, r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-holiglm_1.0.1-1.ca2004.1_all.deb
Size: 662284
MD5sum: 948f20e3c9956a84d4ba1a822d6efecc
SHA1: 9c38227204532d4320a762e32f36679061dd85ef
SHA256: 8baa7a66faa59e4d2f1b56730d0291a3d767bdf3981b781ba66bcdab76ab292c
SHA512: 733454feacda263bbb5507d0b4e89de8809e5969d34de13a82cdd591eacfa9f12c5a33e8cac726bfa8bb7496601140051954162917586ef41c6556c6f49e7fdc
Homepage: https://cran.r-project.org/package=holiglm
Description: CRAN Package 'holiglm' (Holistic Generalized Linear Models)
 Holistic generalized linear models (HGLMs) extend generalized linear models
 (GLMs) by enabling the possibility to add further constraints to the model.
 The 'holiglm' package simplifies estimating HGLMs using convex optimization.
 Additional information about the package can be found in the reference
 manual, the 'README' and the accompanying paper <doi:10.18637/jss.v108.i07>.

Package: r-cran-holland
Architecture: all
Version: 0.1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mplusautomation, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-holland_0.1.2-3-1.ca2004.1_all.deb
Size: 210344
MD5sum: e2a38869ed8e590016eecea615e69177
SHA1: 11441858ed95a6575e97b52bb1319b267373d258
SHA256: b83984ef2ab919f36af4fa2ae0277cf77490c87ed7e0b6c23c174c6d16d559c6
SHA512: 34fd03df2a7981f2ad38ff11c73b93eb740a6336845b341c87a6301611256148fe82dca59ef35b406f9e84036b49b2f5083c954a51d2dc9a83ba062cf6ec84b3
Homepage: https://cran.r-project.org/package=holland
Description: CRAN Package 'holland' (Statistics for Holland's Theory of Vocational Choice)
 Offers a convenient way to compute parameters in the framework of the theory
 of vocational choice introduced by J.L. Holland, (1997). A comprehensive
 summary to this theory of vocational choice is given in Holland, J.L.
 (1997). Making vocational choices. A theory of vocational personalities and
 work environments.  Lutz, FL: Psychological Assessment.

Package: r-cran-hollr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-pbapply, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-hollr_1.0.0-1.ca2004.1_all.deb
Size: 29508
MD5sum: ab82153f6140119ef6d7ff38bf06a183
SHA1: b8a170f41a805ed80d28052a8e01f72451d555ac
SHA256: ab78e0a351ee59b670f7d55c25efb14527e18e3c5a6de65bc1c95ef5dab93687
SHA512: fc913eafd06e96a6f7c81417f32abb07ecec442a0d896fea7788a68e28e7e5e422459fc3ca3a105ace2268e8ba12f0c46d95939fa462374ff1ce06ff79daf742
Homepage: https://cran.r-project.org/package=hollr
Description: CRAN Package 'hollr' (Chat Completion and Text Annotation with Local and OpenAI Models)
 Enables chat completion and text annotation with local and 'OpenAI'
 <https://openai.com/> language models, supporting batch processing, multiple
 annotators, and consistent output formats.

Package: r-cran-holobiont
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-bioc-phyloseq, r-cran-phytools, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-holobiont_0.1.2-1.ca2004.1_all.deb
Size: 95608
MD5sum: 6469a5c2b1f7a38474173a11422521e3
SHA1: d92bcfe20087962b0785762edff2259ad2f8eae4
SHA256: d860f002c53d12f3cc0411212f3b412d2dca329c802b5c0039369948eebcacd4
SHA512: 36bbbc32555d2f95a62be80d92bc4ce55dae7a8365fdcabf0048523cc995c25d8bb5802a8ef0fab41fc5f14d7c76344e37dec3e5e529927a2a8b585d00f8f003
Homepage: https://cran.r-project.org/package=holobiont
Description: CRAN Package 'holobiont' (Microbiome Analysis Tools)
 We provide functions for identifying the core community phylogeny in any
 microbiome, drawing phylogenetic Venn diagrams, calculating the core Faith’s
 PD for a set of communities, and calculating the core UniFrac distance
 between two sets of communities. All functions rely on construction of a
 core community phylogeny, which is a phylogeny where branches are defined
 based on their presence in multiple samples from a single type of habitat.
 Our package provides two options for constructing the core community
 phylogeny, a tip-based approach, where the core community phylogeny is
 identified based on incidence of leaf nodes and a branch-based approach,
 where the core community phylogeny is identified based on incidence of
 individual branches. We suggest use of the microViz package, which can be
 downloaded from the website provided under Additional repositories.

Package: r-cran-holodeck
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-mice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-holodeck_0.2.2-1.ca2004.1_all.deb
Size: 257080
MD5sum: 73f37b50737c0affbb35ec2ddf81c159
SHA1: 2acaa96ef4c65cac3be73336da199f5a36912957
SHA256: 6397cb9b6982c89fb41e0cb4cc5f8631b6ab966c7b45cc35c9ed208a69a4f748
SHA512: 9950fc8abe747dc68b588101ce90fc25150cf584a80895e8a0a998cefc8a79d666f88120edc6b1a37be93e20217f7c5f612e1aee62229ee1cd4935c97f8381fb
Homepage: https://cran.r-project.org/package=holodeck
Description: CRAN Package 'holodeck' (A Tidy Interface for Simulating Multivariate Data)
 Provides pipe-friendly (%>%) wrapper functions for MASS::mvrnorm() to create
 simulated multivariate data sets with groups of variables with different
 degrees of variance, covariance, and effect size.

Package: r-cran-holomics
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bs4dash, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-golem, r-cran-igraph, r-cran-openxlsx, r-cran-readxl, r-cran-shiny, r-cran-shinyalert, r-cran-shinybusy, r-cran-shinyjs, r-cran-shinyvalidate, r-cran-shinywidgets, r-cran-stringr, r-cran-tippy, r-cran-visnetwork, r-bioc-mixomics, r-bioc-biocparallel, r-cran-markdown, r-cran-ggrepel, r-cran-matrixstats, r-cran-rspectra, r-cran-reshape2, r-cran-tidyr, r-cran-uuid
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-badger
Filename: pool/dists/focal/main/r-cran-holomics_1.1.1-1.ca2004.1_all.deb
Size: 3210204
MD5sum: 2679a60df9a253f6e31f4171f538ddc8
SHA1: 0612fd0832be880dc0879bc0e8cb3362590c105f
SHA256: 6c5aa7dbc252df2dff41058df8fbeb9fa4390c9848259a9206e46b68afc9b37f
SHA512: d703d64655b870630013273d11cc1544e06ba7ae86cc9d9b44fbea16a5ba727d63ace11b8bbee73c12927a8eca8d1a2db0f47c8b78be10dd2c52261f3605d42a
Homepage: https://cran.r-project.org/package=Holomics
Description: CRAN Package 'Holomics' (An User-Friendly R 'shiny' Application for Multi-Omics DataIntegration and Analysis)
 A 'shiny' application, which allows you to perform single- and multi-omics
 analyses using your own omics datasets. After the upload of the omics
 datasets and a metadata file, single-omics is performed for feature
 selection and dataset reduction. These datasets are used for pairwise- and
 multi-omics analyses, where automatic tuning is done to identify
 correlations between the datasets - the end goal of the recommended
 'Holomics' workflow.  Methods used in the package were implemented in the
 package 'mixomics' by Florian Rohart,Benoît Gautier,Amrit Singh,Kim-Anh Lê
 Cao (2017) <doi:10.1371/journal.pcbi.1005752> and are described there in
 further detail.

Package: r-cran-homals
Architecture: all
Version: 1.0-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 779
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-homals_1.0-11-1.ca2004.1_all.deb
Size: 552700
MD5sum: 3ebf852e89eec12488463f53e9207e94
SHA1: e759241953d9cf51052be067a9330d0894872fa9
SHA256: 312ccb0184e87efe48aa6e14808b66fd8519a16c8da40d571e1c41a5ea6234ab
SHA512: 13a9b3f3b24af27a899a5d94ebce708c51c6a61b4b9b0c60dee51f8a5cd6581f98dfd15a14cc262ae7ff16a3fff6ac042d8a825e5acc545c3c2557cd0b7faf37
Homepage: https://cran.r-project.org/package=homals
Description: CRAN Package 'homals' (Gifi Methods for Optimal Scaling)
 Performs a homogeneity analysis (multiple correspondence analysis) and
 various extensions. Rank restrictions on the category quantifications can be
 imposed (nonlinear PCA). The categories are transformed by means of optimal
 scaling with options for nominal, ordinal, and numerical scale levels (for
 rank-1 restrictions). Variables can be grouped into sets, in order to
 emulate regression analysis and canonical correlation analysis.

Package: r-cran-homer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-homer_0.3.0-1.ca2004.1_all.deb
Size: 22324
MD5sum: a6fd86bf1225f6160c357c5be6f43bf4
SHA1: 562538d51929f6ffca4a5b0ff8f617495ebc987b
SHA256: db531098b63455605d819dba3e3719a57a26e4f0f13e41d04726399fd07fab37
SHA512: af1c40d51641fc4697cf05e84088fcfc4e1232e4cfc2dd0a13167f88862f03eb0b76ae863efcce4b31a5fcef8b6cd28ed970a201523210e2bcfd5ac113360770
Homepage: https://cran.r-project.org/package=homeR
Description: CRAN Package 'homeR' (Useful Functions for Building Physics)
 A collection of functions useful for the analysis of building physics
 experiments.

Package: r-cran-homeric
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-homeric_0.1-3-1.ca2004.1_all.deb
Size: 17044
MD5sum: 059c3937ad6ddf273503c6eaa24b9a90
SHA1: 78148b1f30017c0e6786e859121b216ff091549d
SHA256: 68c645a86532b32f30b1d27cbe5878a59dd56df38cd199dffc22aae38cda0840
SHA512: 8765212ce4147baecc14d6831aaac3c3c1162e36ff8e4160fe88fb68e824ab2bfe127bd5d5ae427035f8cef7005d8bdc8071edeff14671431ebdc85f19c5e8e4
Homepage: https://cran.r-project.org/package=Homeric
Description: CRAN Package 'Homeric' (Doughnut Plots)
 A simple implementation of doughnut plots - pie charts with a blank center.
 The package is named after Homer Simpson - arguably the best-known lover of
 doughnuts.

Package: r-cran-homnormal
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-huxtable
Filename: pool/dists/focal/main/r-cran-homnormal_0.1-1.ca2004.1_all.deb
Size: 70892
MD5sum: 99359ffa32c8b98a88931c4e09d8c4e8
SHA1: f9b776b76ce72170bc727f17fb581ab6e0b6f164
SHA256: 0b6f9dc09d9f71947ab4f988215c9d0d663e0d98834f849fb04618755c66ed1e
SHA512: 99607eb7b276648ea1a6795c926fbb3ad3b0b01cbc0dbc4d8b35264cba442213faab71278c6028c24e2c186dede367fb0fd8c9ae45c5f02ae42f4c8e508eaf52
Homepage: https://cran.r-project.org/package=homnormal
Description: CRAN Package 'homnormal' (Tests of Homogeneity of Variances)
 Most common exact, asymptotic and resample based tests are provided for
 testing the homogeneity of variances of k normal distributions under
 normality.  These tests are Barlett, Bhandary & Dai, Brown & Forsythe, Chang
 et al., Gokpinar & Gokpinar, Levene, Liu and Xu, Gokpinar.  Also, a data
 generation function from multiple normal distribution is provided using any
 multiple normal parameters.  Bartlett, M. S. (1937)
 <doi:10.1098/rspa.1937.0109> Bhandary, M., & Dai, H. (2008)
 <doi:10.1080/03610910802431011> Brown, M. B., & Forsythe, A. B.
 (1974).<doi:10.1080/01621459.1974.10482955> Chang, C. H., Pal, N., & Lin, J.
 J. (2017) <doi:10.1080/03610918.2016.1202277> Gokpinar E. & Gokpinar F.
 (2017) <doi:10.1080/03610918.2014.955110> Liu, X., & Xu, X. (2010)
 <doi:10.1016/j.spl.2010.05.017> Levene, H. (1960)
 <https://cir.nii.ac.jp/crid/1573950400526848896> Gökpınar, E. (2020)
 <doi:10.1080/03610918.2020.1800037>.

Package: r-cran-homologene
Architecture: all
Version: 1.4.68.19.3.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-homologene_1.4.68.19.3.27-1.ca2004.1_all.deb
Size: 3821208
MD5sum: 98ab07b971d926bb787ee00dbf5f2f0d
SHA1: 4934d702e2aa157b62126b8808ba09936f1afab8
SHA256: 9df3fb780407001c8d94ccf4878223372a0a243635e49d2e86000a9766cad632
SHA512: 974d744f57bfa89ddff09b2e339662ef5476cec8e5d8f80f756c16a022e0fc24b675359d6003de2f812657e0640019bf247f10f43c2e374b74d115c7b60802e3
Homepage: https://cran.r-project.org/package=homologene
Description: CRAN Package 'homologene' (Quick Access to Homologene and Gene Annotation Updates)
 A wrapper for the homologene database by the National Center for
 Biotechnology Information ('NCBI'). It allows searching for gene homologs
 across species. Data in this package can be found at
 <ftp://ftp.ncbi.nih.gov/pub/HomoloGene/build68/>.  The package also includes
 an updated version of the homologene database where gene identifiers and
 symbols are replaced with their latest (at the time of submission) version
 and functions to fetch latest annotation data to keep updated.

Package: r-cran-homomorpher
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-gmp, r-cran-sodium
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-dplyr, r-cran-magrittr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-homomorpher_0.3-1.ca2004.1_all.deb
Size: 879496
MD5sum: 9cbec0d85ff063a24f4c580278ba9607
SHA1: 43dfe085b36f4cf19dda2183148a02d1d5182660
SHA256: 9aecd6823aad17ca1d0b01ed3f94696834b8bb663654462ab7fa3bc82768be17
SHA512: d92374dbccb8d477e7d052640f2d9d553d10956b51918958e21b821d0bc9a24f6d5d3dd79b5ba17bf1ad3fa3ad13f4a16b62949187a154b5793bfdfcf37c6c3a
Homepage: https://cran.r-project.org/package=homomorpheR
Description: CRAN Package 'homomorpheR' (Homomorphic Computations in R)
 Homomorphic computations in R for privacy-preserving applications. Currently
 only the Paillier Scheme is implemented.

Package: r-cran-homomorphicencryption
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-polynom, r-cran-hetools
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-homomorphicencryption_0.9.0-1.ca2004.1_all.deb
Size: 68040
MD5sum: 779c9634cbf30a4b6d6d6174a69727c0
SHA1: 69ba5c398f5eb1178fa4728cc95ca1bd8e2e4a80
SHA256: e46b218bddb93a387eac9def1ddec997acca4fa46c51f32c61c65abd34d28a93
SHA512: 81585d020bdddea30902b95f89fa1f690d5ede3ef2c8f316350dbaaeb0c9d86e363186016fa535503048f5456ccae9a2671b553e959091db9cf8538ce21ac569
Homepage: https://cran.r-project.org/package=HomomorphicEncryption
Description: CRAN Package 'HomomorphicEncryption' (BFV, BGV, CKKS Schema for Fully Homomorphic Encryption)
 Implements the Brakerski-Fan-Vercauteren (BFV, 2012)
 <https://eprint.iacr.org/2012/144>, Brakerski-Gentry-Vaikuntanathan (BGV,
 2014) <doi:10.1145/2633600>, and Cheon-Kim-Kim-Song (CKKS, 2016)
 <https://eprint.iacr.org/2016/421.pdf> schema for Fully Homomorphic
 Encryption. The included vignettes demonstrate the encryption procedures.

Package: r-cran-honestdid
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1539
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-foreach, r-cran-matrixstats, r-cran-cvxr, r-cran-latex2exp, r-cran-lpsolveapi, r-cran-matrix, r-cran-pracma, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-rglpk, r-cran-mvtnorm, r-cran-truncatednormal
Suggests: r-cran-knitr, r-cran-testthat, r-cran-haven, r-cran-lfe, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-honestdid_0.2.6-1.ca2004.1_all.deb
Size: 780404
MD5sum: 886bcfc6dcc9cc29cc6fb7e0df17b557
SHA1: af7b070ec11008c9b106e66f067b481a2c2b2204
SHA256: 0a87262d3c61a325f05839d30265364383e732a7b0ecbb93f3ed64a0e952af0a
SHA512: 5a9d856a67e193f67777b06b4e46bc566e8bbb544a564530301a9372802edf567a7fbd11a86734df8b870e0a234ff9f031b9a168e2309d09ee746fd33c9642fa
Homepage: https://cran.r-project.org/package=HonestDiD
Description: CRAN Package 'HonestDiD' (Robust Inference in Difference-in-Differences and Event StudyDesigns)
 Provides functions to conduct robust inference in difference-in-differences
 and event study designs by implementing the methods developed in Rambachan &
 Roth (2023) <doi:10.1093/restud/rdad018>, "A More Credible Approach to
 Parallel Trends" [Previously titled "An Honest Approach..."]. Inference is
 conducted under a weaker version of the parallel trends assumption.
 Uniformly valid confidence sets are constructed based upon conditional
 confidence sets, fixed-length confidence sets and hybridized confidence
 sets.

Package: r-cran-hoopr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2446
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-progressr, r-cran-purrr, r-cran-rcpp, r-cran-rcppparallel, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-usethis
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-ggplot2, r-cran-ggrepel, r-cran-qs, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringi, r-cran-testthat, r-cran-tibble, r-cran-xml2, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-hoopr_2.1.0-1.ca2004.1_all.deb
Size: 2212684
MD5sum: 2117e1bb2cad9290bbbf7c06ceabe0e3
SHA1: 7b7c567c8696d9522b0aca593e8639da2d910d22
SHA256: 9fc50f359db6836b565aea53909a39087fa6810af94bf7565e549e774140d455
SHA512: c927f5b723b0c96370fadcd7d68682f47edc9eae2d7de8b4cdeb4b0a5674e9d934afacc2c13f7055ca35006b3c5836ad882c59ac91c89da76fc100a6e7e52637
Homepage: https://cran.r-project.org/package=hoopR
Description: CRAN Package 'hoopR' (Access Men's Basketball Play by Play Data)
 A utility to quickly obtain clean and tidy men's basketball play by play
 data. Provides functions to access live play by play and box score data from
 ESPN<https://www.espn.com> with shot locations when available. It is also a
 full NBA Stats API<https://www.nba.com/stats/> wrapper.  It is also a
 scraping and aggregating interface for Ken Pomeroy's men's college
 basketball statistics website<https://kenpom.com>. It provides users with an
 active subscription the capability to scrape the website tables and analyze
 the data for themselves.

Package: r-cran-hopbyhop
Architecture: all
Version: 3.41-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pastecs, r-cran-ggplot2
Suggests: r-cran-endtoend, r-cran-opportunistic
Filename: pool/dists/focal/main/r-cran-hopbyhop_3.41-1.ca2004.1_all.deb
Size: 40116
MD5sum: afec0f21d96080516694d07037adaf04
SHA1: 38ceb7a73dd08a0e5ab778573ed983d8b88915a2
SHA256: ddbaf92f0492a06935831d9266033d4f603c3b8bf333dc98fe1b2fe814bebf66
SHA512: 5d89d42206452b2fdeb5da0bfc41786ed524802a5ed46ebbf7bf3520a77a4c77b2b9be86f7e197352037176cc1af6a968b3f10d3810774b6ed6819ed618aaa95
Homepage: https://cran.r-project.org/package=hopbyhop
Description: CRAN Package 'hopbyhop' (Transmissions and Receptions in a Hop by Hop Network)
 Computes the expectation of the number of transmissions and receptions
 considering a Hop-by-Hop transport model with limited number of
 retransmissions per packet. It provides the theoretical results shown in
 Palma et. al.(2016) <DOI:10.1109/TLA.2016.7555237> and also estimated values
 based on Monte Carlo simulations. It is also possible to consider random
 data and ACK probabilities.

Package: r-cran-hopkins
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-donut, r-cran-pdist, r-cran-rann
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spatstat.data, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hopkins_1.1-1.ca2004.1_all.deb
Size: 76524
MD5sum: 5a7e9c5a9e0d2cb8377424846f8987ef
SHA1: b4cf894bc90edfa88a1eb41d3c5bb2606d743e34
SHA256: 2d75910caa8d123a24b85416b5564ffa972a83d0513e536ac5b848827a0c6901
SHA512: 6eae33e0ce139b9bd2c57114f5c818a5e283a752de20721977acc661fd366ab049036d5518b2ddc34f5f717e32b9a97eb66188105ebc9a536c394e8c2c77f587
Homepage: https://cran.r-project.org/package=hopkins
Description: CRAN Package 'hopkins' (Calculate Hopkins Statistic for Clustering)
 Calculate Hopkins statistic to assess the clusterability of data. See Wright
 (2023) <doi:10.32614/RJ-2022-055>.

Package: r-cran-horm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-orthopolynom, r-cran-quantmod, r-cran-rsm
Filename: pool/dists/focal/main/r-cran-horm_0.1.4-1.ca2004.1_all.deb
Size: 160908
MD5sum: 1ea7b534ea4ddcd4e8aadf0d50402254
SHA1: a4ced0922e9768f33f7a6319ee2f0a9e36c57d1e
SHA256: fe3e049759854eaf3f39fe27e27d28ffd78a97287f04b52bae5c2ff21703c2f2
SHA512: 49be4659a57861623d852733b84285b8cebfcab970d6273db640358708e590f372296bfa985bbdbef1faf9cc719094f1a902096db29e58f9dd7b911db8c1d618
Homepage: https://cran.r-project.org/package=HoRM
Description: CRAN Package 'HoRM' (Supplemental Functions and Datasets for "Handbook of RegressionMethods")
 Supplement for the book "Handbook of Regression Methods" by D. S. Young.
 Some datasets used in the book are included and documented.  Wrapper
 functions are included that simplify the examples in the textbook, such as
 code for constructing a regressogram and expanding ANOVA tables to reflect
 the total sum of squares.

Package: r-cran-hornpa
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hornpa_1.1.1-1.ca2004.1_all.deb
Size: 14776
MD5sum: 45d780b28575e6c23261e8b44d3fc0bd
SHA1: 83b7e719ce504f5a162fa506daa13366ebe7fecc
SHA256: 9a6f7a1517ebc9d172f97600308ec8724df77803123b18053e783452c9c61f1a
SHA512: 8ac95e94c408d9a74c657a99d6d964d115903378b9abb14b2bed5f8b610acd5cddc0a4da5e8014e37187120b5d16abda456f724deedca80294e0cb787dafdf62
Homepage: https://cran.r-project.org/package=hornpa
Description: CRAN Package 'hornpa' (Horn's (1965) Test to Determine the Number of Components/Factors)
 A stand-alone function that generates a user specified number of random
 datasets and computes eigenvalues using the random datasets (i.e.,
 implements Horn's [1965, Psychometrika] parallel analysis
 <doi:10.1007/BF02289447>). Users then compare the resulting eigenvalues (the
 mean or the specified percentile) from the random datasets (i.e.,
 eigenvalues resulting from noise) to the eigenvalues generated with the
 user's data. Can be used for both principal components analysis (PCA) and
 common/exploratory factor analysis (EFA). The output table shows how large
 eigenvalues can be as a result of merely using randomly generated datasets.
 If the user's own dataset has actual eigenvalues greater than the
 corresponding eigenvalues, that lends support to retain that
 factor/component. In other words, if the i(th) eigenvalue from the actual
 data was larger than the percentile of the (i)th eigenvalue generated using
 randomly generated data, empirical support is provided to retain that
 factor/component. Horn, J. (1965). A rationale and test for the number of
 factors in factor analysis. Psychometrika, 32, 179-185.

Package: r-cran-horsekicks
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-horsekicks_1.0.2-1.ca2004.1_all.deb
Size: 48484
MD5sum: e6b702d7686d2d17b46f8a23f4b2e207
SHA1: e26047dbb60b8dffb5830f4af545b160d932e91d
SHA256: ef36d75b768c25e2a6dc9c1580482dda0caabb098ef275f2e98c0fe558bb96fa
SHA512: 32eb49beba4080665801cc200835f2822b4f3c0495aec4d787af4d47d78bca8645e42e85aeae59ac552cd898d0f3a0a1826533f642bebb62eb8a275748eec70f
Homepage: https://cran.r-project.org/package=Horsekicks
Description: CRAN Package 'Horsekicks' (Provide Extensions to the Prussian Army Death by Horsekick Data)
 We provide extensions to the classical dataset "Example 4: Death by the kick
 of a horse in the Prussian Army" first used by Ladislaus von Bortkeiwicz in
 his treatise on the Poisson distribution "Das Gesetz der kleinen Zahlen",
 <DOI:10.1017/S0370164600019453>.  As well as an extended time series for the
 horse-kick death data, we also provide, in parallel, deaths by falling from
 a horse and by drowning.

Package: r-cran-horseshoe
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-hmisc, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-horseshoe_0.2.0-1.ca2004.1_all.deb
Size: 351172
MD5sum: 1872dd85501208da6149b6b66db9fbb3
SHA1: bf2b896e0c274c99729e81432cd5f10aeb724b7d
SHA256: 35a5599a712d6759a38d11769e7ff34fee56371c60ce1aa111dc52ba7e56e0ab
SHA512: e103cd5a5be9aaf30cc201490abc2ee2d43ae0e950da65396dc190eff05a6547fc96feff1167160102c2a11edba3d691cf2ef8c7eb5b68a2cf05af87cc039767
Homepage: https://cran.r-project.org/package=horseshoe
Description: CRAN Package 'horseshoe' (Implementation of the Horseshoe Prior)
 Contains functions for applying the horseshoe prior to high- dimensional
 linear regression, yielding the posterior mean and credible intervals,
 amongst other things. The key parameter tau can be equipped with a prior or
 estimated via maximum marginal likelihood estimation (MMLE).  The main
 function, horseshoe, is for linear regression. In addition, there are
 functions specifically for the sparse normal means problem, allowing for
 faster computation of for example the posterior mean and posterior variance.
 Finally, there is a function available to perform variable selection, using
 either a form of thresholding, or credible intervals.

Package: r-cran-horseshoenlm
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-msm
Suggests: r-cran-boot, r-cran-pgdraw, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-horseshoenlm_0.0.6-1.ca2004.1_all.deb
Size: 70512
MD5sum: cbb77587dabb486d20e092a0f94f9156
SHA1: 482864761325def984538d4b473d8a3d819dd535
SHA256: 0dd38384b2c03caa357493146ab1102970c3dd290845e22cf1de79816ac11ff2
SHA512: eb13d912e674711231c495e334b8c5cf8e6d841034994802e33efea1cdffe10ccd27212d28bd95907e7329ffd8453f14bb736ae9e798a51dbe5d127b5cff39bf
Homepage: https://cran.r-project.org/package=horseshoenlm
Description: CRAN Package 'horseshoenlm' (Nonlinear Regression using Horseshoe Prior)
 Provides the posterior estimates of the regression coefficients when
 horseshoe prior is specified.  The regression models considered here are
 logistic model for binary response and log normal accelerated failure time
 model for right censored survival response.  The linear model analysis is
 also available for completeness.  All models provide deviance information
 criterion and widely applicable information criterion.  See
 <doi:10.1111/rssc.12377> Maity et. al. (2019) <doi:10.1111/biom.13132> Maity
 et. al. (2020).

Package: r-cran-hosm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maps, r-cran-sf, r-cran-tidyverse, r-cran-units, r-cran-tibble, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-hosm_0.1.0-1.ca2004.1_all.deb
Size: 22528
MD5sum: 381d2a371312952639f53e3d3b701fdb
SHA1: 3e8bd301afbe1d6d6619439208e59a348537a25e
SHA256: 7e54b25047a0e77877c63fc2a3232d83349b44f51cded51a8419d0ac54d6aa4b
SHA512: 1aeac33e63e5e3b5507f0a9452b9717e5e211d81dda3384ad510f0771ed1fb53298a70558e3a2c5a784bcb60e2dc3b020d4d46e04219edec0ced9b9845869178
Homepage: https://cran.r-project.org/package=hosm
Description: CRAN Package 'hosm' (High Order Spatial Matrix)
 Automatically displays the order and spatial weighting matrix of the
 distance between locations. This concept was derived from the research of
 Mubarak, Aslanargun, and Siklar (2021) <doi:10.52403/ijrr.20211150> and
 Mubarak, Aslanargun, and Siklar (2022) <doi:10.17654/0972361722052>.
 Distance data between locations can be imported from 'Ms. Excel', 'maps'
 package or created in 'R' programming directly. This package also provides 5
 simulations of distances between locations derived from fictitious data, the
 'maps' package, and from research by Mubarak, Aslanargun, and Siklar (2022)
 <doi:10.29244/ijsa.v6i1p90-100>.

Package: r-cran-hospitalnetwork
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-checkmate, r-cran-igraph, r-cran-lubridate, r-cran-r6, r-cran-ggplot2, r-cran-ggraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shiny, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-dt, r-cran-shinyalert, r-cran-shinyjs, r-cran-vdiffr, r-cran-pander, r-cran-glue, r-cran-golem, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-hospitalnetwork_0.9.4-1.ca2004.1_all.deb
Size: 318520
MD5sum: 79b3907dff3a555eb5a70502a0f62d64
SHA1: 9dddd29f23be79914ee2c31c17d1c3b750558a7d
SHA256: 7c4f5c4f0a98f30ee1c0ac05ab39cda6c2ee59e67c3ed5de790f065e432feb1f
SHA512: 10a2bfcad999f0e5cb6584ba908c062425d55654d8d80626da48ec871a1bfeb886aa74bff1ca9f53fbcd5a719c4517361c02b4ee4d8500cb045c5ed6905f44c1
Homepage: https://cran.r-project.org/package=HospitalNetwork
Description: CRAN Package 'HospitalNetwork' (Building Networks of Hospitals Through Patients Transfers)
 Set of tools to help interested researchers to build hospital networks from
 data on hospitalized patients transferred between hospitals. Methods
 provided have been used in Donker T, Wallinga J, Grundmann H. (2010)
 <doi:10.1371/journal.pcbi.1000715>, and Nekkab N, Crépey P, Astagneau P,
 Opatowski L, Temime L. (2020) <doi:10.1038/s41598-020-71212-6>.

Package: r-cran-hospitals
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hospitals_0.1.0-1.ca2004.1_all.deb
Size: 64540
MD5sum: 7fe8917a20141913c813d1f9ce8b984b
SHA1: 105bc2301d3ba3d7a241595dcb142a195f821c94
SHA256: 1be4ced596f4b8354fe226f78b533a038ba2d6f5ba9f9712f5b10e7bfd25bf98
SHA512: 3750ade02a06e2e7cedd47298bf80b8fc414ceed7d8a9feeab7864e9187f64ba36d8e12f1f671e7eaaa3228c4a6a511587548154d90c638f0fa4dc42e0a43c67
Homepage: https://cran.r-project.org/package=hospitals
Description: CRAN Package 'hospitals' (Portuguese 'NHS' Hospitals)
 A data set of the Portuguese 'NHS' hospitals.

Package: r-cran-hostswitch
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-checkmate, r-cran-tippy
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-hostswitch_0.1.3-1.ca2004.1_all.deb
Size: 263652
MD5sum: 304168785764bfb0f97cd62b68fd403b
SHA1: a1cbebcdd054611ecb698fab413d971df697d926
SHA256: 79a211dbb88fff6937682a243f9a77a4ffaeae9efe2afa88f45b48798b0f0a53
SHA512: 8724f0e5316d9db06ab28441ddfba0bcca54135ed56c6e21c185aa5c6daa85f8b022a725231484191a8bf27e36377d496af3170d4a619ec30948da5a0259d80a
Homepage: https://cran.r-project.org/package=HostSwitch
Description: CRAN Package 'HostSwitch' (Simulate the Extent of Host Switching by Consumers)
 Using a simulation-based approach, the 'HostSwitch' package provides
 functions to investigate host switches by consumers.  The individual-based
 model is based on the concept of ecological fitting.  The mockup model is
 published by Araujo et al. 2015. Understanding Host-Switching by Ecological
 Fitting (<doi:10.1371/journal.pone.0139225>).  The package provides an
 R-friendly and modified version of this model which can be applied to
 different consumer-resource scenarios.

Package: r-cran-hot.deck
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-mass, r-cran-mice, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-mitools, r-cran-miceadds, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hot.deck_1.2-1.ca2004.1_all.deb
Size: 106680
MD5sum: 7d54fb5ac046f89b770855ea20c86966
SHA1: cafca5d64c9962a2da873923c5dd24f1f394eed2
SHA256: 71836e25a48f933819f80922f824d89c7a77616a43ade8a74de21c7fe38d3dd8
SHA512: 0c9e0b513a52426cc1e6cbc3beee6c14216e52cedb2d5eaa96e6668f59abe4ba8f1afe588e169ab2d12515d9b1bdf1e97ca5afdd09aeec2271a9e3456cbf097f
Homepage: https://cran.r-project.org/package=hot.deck
Description: CRAN Package 'hot.deck' (Multiple Hot Deck Imputation)
 Performs multiple hot-deck imputation of categorical and continuous
 variables in a data frame.

Package: r-cran-hotelling
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-hotelling_1.0-8-1.ca2004.1_all.deb
Size: 55864
MD5sum: 9c94af371150c0e430e2faeb4e26df96
SHA1: 201ec8c6e088bf4d7b634d60f0600109b4ae9a55
SHA256: d997ea8908b111eafc20edc872a9c4bbc20ed651dfec34b833a0684e7fb0589c
SHA512: eb3c9dee943da9a7e668d24b9f9f808a18268e5614d10c0aa02dfd6cfc75c00b5be30a77fa0e0e968c078253e6a4da82284c76606056f9b270bc4fb172befbab
Homepage: https://cran.r-project.org/package=Hotelling
Description: CRAN Package 'Hotelling' (Hotelling's T^2 Test and Variants)
 A set of R functions which implements Hotelling's T^2 test and some variants
 of it. Functions are also included for Aitchison's additive log ratio and
 centred log ratio transformations.

Package: r-cran-hotellingellipse
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4712
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-factominer, r-cran-ggforce, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rgl, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-spelling, r-cran-covr, r-cran-scales, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-hotellingellipse_1.2.0-1.ca2004.1_all.deb
Size: 4079596
MD5sum: 318317e9853c6b994cf8c425d7c94e1e
SHA1: 1bb96bc4a1ffc4835a3dc6cdf93dec5a353635c0
SHA256: a04bfbd14f9897c82414833cad4e8e48d6d47b1eba08d39b3cb9f5e0f721fb25
SHA512: 5781251ad7c082c0a6c25e99334f155f4c1e8c25ef668db97bd0367de36d76bd6b342c028813c9353bd118c0001487f811eed20b334dad1edac37e1846dbfc79
Homepage: https://cran.r-project.org/package=HotellingEllipse
Description: CRAN Package 'HotellingEllipse' (Hotelling’s T-Squared Statistic and Ellipse)
 Functions to calculate the Hotelling’s T-squared statistic and corresponding
 confidence ellipses. Provides the semi-axes of the Hotelling’s T-squared
 ellipses at 95% and 99% confidence levels. Enables users to obtain the
 coordinates in two or three dimensions at user-defined confidence levels,
 allowing for the construction of 2D or 3D ellipses with customized
 confidence levels. Bro and Smilde (2014) <DOI:10.1039/c3ay41907j>. Brereton
 (2016) <DOI:10.1002/cem.2763>.

Package: r-cran-hotspot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hotspot_1.0-1.ca2004.1_all.deb
Size: 90184
MD5sum: acd407c907d1ddbbc7c5b544a7353bfb
SHA1: 816d1951b4cabacc5cdb7f2acae4453a778b4431
SHA256: 0fcb4bbcd09b16d2bf887a8bad2a771ab28fcd3be5c7bef869e7319058b6b534
SHA512: 43058e011f3b3ec3ee2949555aeccce141152ad5999f84cc15246820641901c0029cc7c14ffafdce90a96c40c19d4bd2ffb120b9590033e8dde84af41ff19a58
Homepage: https://cran.r-project.org/package=hotspot
Description: CRAN Package 'hotspot' (Software Hotspot Analysis)
 Contains data for software hotspot analysis, along with a function
 performing the analysis itself.

Package: r-cran-hotspots
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-ineq
Filename: pool/dists/focal/main/r-cran-hotspots_1.0.5-1.ca2004.1_all.deb
Size: 39280
MD5sum: a6887f835ea66854b4a757bfe8e3b03e
SHA1: ab04ee1922595a1f40d53cdd9ef93d92ad250cc8
SHA256: 7cc0b96b8a3e31e35c7dd50ba50299af225f6c252817b2243b7d19dc0af84efc
SHA512: d74cf5ecbf061f8852d5315b06e155cc1e69c1bb279bbd6a084ca47d806c3a93ff67311250548733bc2464c9eff8dfe92042fe7a5d760d170a83e88828a2b20a
Homepage: https://cran.r-project.org/package=hotspots
Description: CRAN Package 'hotspots' (Hot Spots)
 The hotspots package is designed to look within a set of measured values of
 a variable and identify values that are disproportionately high based on
 both the deviance of any given value from a statistical distribution and its
 similarity to other values. Because this relative magnitude of each value is
 taken into account, a value that is a statistical outlier may not always be
 a hot spot if other values are similarly large.

Package: r-cran-hours2lessons
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hours2lessons_0.1.4-1.ca2004.1_all.deb
Size: 61144
MD5sum: cc8886532cdc788cb70a752983bd138e
SHA1: 71c05006fc4675c5fa6c1aac17b1881506f1012f
SHA256: 5c1f3c464c6e6600076aa0c920f7aedcc0d661cca353d435de85027b36194670
SHA512: bdfdf6a890e204e0316df213964217c854ce2c3565c7b8b2c00e727ec3ed9e0715ca79618bbefdcadae0e5ad0576080717c877d400b770fdacef0ea62698d226
Homepage: https://cran.r-project.org/package=hours2lessons
Description: CRAN Package 'hours2lessons' (Alocă Pe Ore Lecțiile Zilei)
 Lecțiile prof/cls trebuie completate cu un câmp "ora", astfel ca oricare
 două lecții prof/cls/ora să nu se suprapună într-o aceeași oră.  The
 prof/cls lessons must be completed with a "hour" field ('ora), so that any
 two prof/cls/ora lessons do not overlap in the same hour.
 <https://vlad.bazon.net/>.

Package: r-cran-housingdata
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2601
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-housingdata_0.3.0-1.ca2004.1_all.deb
Size: 2084460
MD5sum: 4047b36504d203d8e9518cd40544f0fe
SHA1: eb51f0b20939655f6c65b1e041f5b04dd0c954b0
SHA256: c655e6bbd78a665b64d74c7f636fc201c9d4ca88805779abed9940cd306cd281
SHA512: 156043572b4aec0d94ee5525e2d07b96171310b2868eb0c66e5b24abab4a5f2fbdf6ec8a3cfe15eb3382528515b87498f1b338bf6cf94fc619a377e9925e4ccd
Homepage: https://cran.r-project.org/package=housingData
Description: CRAN Package 'housingData' (U.S. Housing Data from 2008 to 2016)
 Monthly median home listing, sale price per square foot, and number of units
 sold for 2984 counties in the contiguous United States From 2008 to January
 2016.  Additional data sets containing geographical information and links to
 Wikipedia are also included.

Package: r-cran-hover
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hover_0.1.1-1.ca2004.1_all.deb
Size: 36388
MD5sum: 5cc727fc44f9d8ccd7dbfa7fb642ad06
SHA1: f354a927b069eab7727ea48a38d214c9b7f58ecf
SHA256: 4d19af1e6124287dea8d87622030d95758e985ea440eaeec8eb725584d01f4e1
SHA512: b3aa85b9cff5c723aba4723863398f408b3253d50d1ba98b964931a59546a4b0772ed8d0b45e1639f8c1b90c1d10265da3987419d1b897c272a7745999bc00e0
Homepage: https://cran.r-project.org/package=hover
Description: CRAN Package 'hover' (CSS Animations for 'shiny' Button Elements)
 A wrapper around a CSS library called 'Hover.css', intended for use in
 'shiny' applications.

Package: r-cran-howler
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmlwidgets
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-chromote, r-cran-shinytest2, r-cran-globals, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-howler_0.3.0-1.ca2004.1_all.deb
Size: 3713432
MD5sum: 9f29308ce6282648a10fab5c115953ab
SHA1: c56b065fc67b7263f6019b2dcf92c5dc226004e5
SHA256: 7a640f6604c996d86c148a318d79ac42484997596c94c41c093e6134cb3e40ca
SHA512: cc8ac829b2b60d8fadd542cee599efaa8a99f6826428abea128f3242568c1f900d4ce932a6bb191a0b8fd6b8a413c3c609a43988d34e7968e13f5d33c8d539b1
Homepage: https://cran.r-project.org/package=howler
Description: CRAN Package 'howler' ('Shiny' Extension of 'howler.js')
 Audio interactivity within 'shiny' applications using 'howler.js'. Enables
 the status of the audio player to be sent from the UI to the server, and
 events such as playing and pausing the audio can be triggered from the
 server.

Package: r-cran-howmany
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-howmany_0.3-1-1.ca2004.1_all.deb
Size: 35564
MD5sum: 7047ac61891411bb3748d838143bfe5f
SHA1: 0b877c1fc768bc127e888b53b274da899010182f
SHA256: 1d7fee4eaa98d9ae460d29f1ece9bdeb31349a6ec1c0dfd1b768c2dc643a1b39
SHA512: f03bb78b67eb3799cbf237c44cdd6fa5d2d462b4a193d7c206e59514f0d525c2d2ef5ebe122013de3ae81295ff4328128fa593221c02e0f4d57132649a1fb7bf
Homepage: https://cran.r-project.org/package=howmany
Description: CRAN Package 'howmany' (A lower bound for the number of correct rejections)
 When testing multiple hypotheses simultaneously, this package provides
 functionality to calculate a lower bound for the number of correct
 rejections (as a function of the number of rejected hypotheses), which holds
 simultaneously -with high probability- for all possible number of
 rejections.  As a special case, a lower bound for the total number of false
 null hypotheses can be inferred.  Dependent test statistics can be handled
 for multiple tests of associations. For independent test statistics, it is
 sufficient to provide a list of p-values.

Package: r-cran-howmanyimputations
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mice
Suggests: r-cran-tinytest, r-cran-roxygen2, r-cran-jomo, r-cran-amelia, r-cran-mitools
Filename: pool/dists/focal/main/r-cran-howmanyimputations_0.2.5-1.ca2004.1_all.deb
Size: 14600
MD5sum: 5b4b71ba7fcf434330ae2e53c22db74a
SHA1: 32804b042e3cd7fd55119f25244114cf6c0c77ff
SHA256: b93b3c7985fecaac90599a49982979a9b3730d0e245f4a1598a2d0cd1d831a50
SHA512: c1b740784b4727e6e773edfda4644b039ee7e71543f7e3c86fd73467fb0dcf88532006d2c6fdbda5f7bb70e097709bb946f629e97b5b6110600069af389e0e2f
Homepage: https://cran.r-project.org/package=howManyImputations
Description: CRAN Package 'howManyImputations' (Calculate How many Imputations are Needed for MultipleImputation)
 When performing multiple imputations, while 5-10 imputations are sufficient
 for obtaining point estimates, a larger number of imputations are needed for
 proper standard error estimates.  This package allows you to calculate how
 many imputations are needed, following the work of von Hippel (2020)
 <doi:10.1177/0049124117747303>.

Package: r-cran-howzatr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-howzatr_1.0.1-1.ca2004.1_all.deb
Size: 28440
MD5sum: 589b8fd2a79aa64555eeabf39a21dedf
SHA1: 0bf949c989f005a30f51fbafe30ffff53d49625f
SHA256: 62f729d177411318423ca878a35edef7e330490b706dc68b12dffabbb4d5a08b
SHA512: d2e4052df9f59e4785d8e4478ac4de2b369b39f04193db5fc3f1fa3e989ff7662dceac7f9f3b67c1ece19810287367f439780fa096a4fff769babe0bddbec002
Homepage: https://cran.r-project.org/package=howzatR
Description: CRAN Package 'howzatR' (Useful Functions for Cricket Analysis)
 Helping to calculate cricket specific problems in a tidy & simple manner.

Package: r-cran-hpackedbubble
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-colourpicker
Filename: pool/dists/focal/main/r-cran-hpackedbubble_0.1.0-1.ca2004.1_all.deb
Size: 55112
MD5sum: 43bb572738a738d35ca809f8b67a652f
SHA1: 2370a201c199162a6edce2e435b5d3f1f4781530
SHA256: 15d96b7000d3ff4cd33fec508e2ff0945b55ee8e356b876863d405c6d0b3cf8d
SHA512: 4930f5a8d1ed2f083b9ed1e53946e424bd4056f5255eb9a6b80c57477a5cc5ea09e619705b76b5c7ef1d939c18f4311f61d7fd2f94752926643dbfb9b82b0ba5
Homepage: https://cran.r-project.org/package=hpackedbubble
Description: CRAN Package 'hpackedbubble' (Create Split Packed Bubble Charts)
 By binding R functions and the 'Highcharts' <http://www.highcharts.com/>
 charting library, 'hpackedbubble' package provides a simple way to draw
 split packed bubble charts.

Package: r-cran-hpbayes
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-corpcor, r-cran-numderiv, r-cran-boot
Filename: pool/dists/focal/main/r-cran-hpbayes_0.1-1.ca2004.1_all.deb
Size: 687604
MD5sum: d2251499ac9c1b6f566d9f92301bfa8b
SHA1: a6b4366a217620062e0e591115625961d43319cc
SHA256: 76cbd75597440d2d89b0d32d6957cb653ab5da8bc82517a7b088ca57f955c5d1
SHA512: ccff7468583c538ab15f345e54fa4efa1670b28673b4f505e1c699e11f57df8aac0b02d0c8a7c34fe7f24d494b888dcfda1ca64e63890ef7fa1bcddb53b279bf
Homepage: https://cran.r-project.org/package=HPbayes
Description: CRAN Package 'HPbayes' (Heligman Pollard mortality model parameter estimation usingBayesian Melding with Incremental Mixture Importance Sampling)
 This package provides all the functions necessary to estimate the 8
 parameters of the Heligman Pollard mortality model using a Bayesian Melding
 procedure with IMIS as well as to convert those parameters into age-specifc
 probabilities of death and a corresponding life table

Package: r-cran-hpcwld
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hpcwld_0.6-5-1.ca2004.1_all.deb
Size: 143672
MD5sum: 0b132244edd48328a8a17c729bf02b76
SHA1: 51a25f12b178b211f29ddfa9ef79139d8845644d
SHA256: 5f5a6fa286ce258400396e091284c818aba01e8597cd70e3d7d3aba6bbb9098e
SHA512: 177197260e700fee4706d96af4c0d0288267377da884e83e4e554107662d23a8efa72cb7741fe6a14c3604aa60680d93249faa98f7b755d0dc73847ac8bb9c61
Homepage: https://cran.r-project.org/package=hpcwld
Description: CRAN Package 'hpcwld' (High Performance Cluster Models Based on Kiefer-WolfowitzRecursion)
 Probabilistic models describing the behavior of workload and queue on a High
 Performance Cluster and computing GRID under FIFO service discipline basing
 on modified Kiefer-Wolfowitz recursion. Also sample data for inter-arrival
 times, service times, number of cores per task and waiting times of HPC of
 Karelian Research Centre are included, measurements took place from
 06/03/2009 to 02/30/2011.  Functions provided to import/export workload
 traces in Standard Workload Format (swf).  Stability condition of the model
 may be verified either exactly, or approximately.  Stability analysis: see
 Rumyantsev and Morozov (2017) <doi:10.1007/s10479-015-1917-2>, workload
 recursion: see Rumyantsev (2014) <doi:10.1109/PDCAT.2014.36>.

Package: r-cran-hpfilter
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hpfilter_1.0.2-1.ca2004.1_all.deb
Size: 128464
MD5sum: 9076b5e3d1c052392c2c21c8e3ccebb9
SHA1: 1020a05f211dc8149c16a40eaf128c0d2938cecd
SHA256: 439d7517b805b8407fbf12595126a6b588e25761af49b058cd5c8fd2fea50173
SHA512: 6e1593a8e5fcdc61c1d00f239d1b33d08ee3531c81d982ece0356e3ba28207bad71cfb9f12acdcaae6dfd71d1d6d76fdabc7ecb456e0626d67a56eba433f42c2
Homepage: https://cran.r-project.org/package=hpfilter
Description: CRAN Package 'hpfilter' (The One- And Two-Sided Hodrick-Prescott Filter)
 Provides two functions that implement the one-sided and two-sided versions
 of the Hodrick-Prescott filter. The one-sided version is a Kalman
 filter-based implementation, whereas the two- sided version uses sparse
 matrices for improved efficiency.  References: Hodrick, R. J., and Prescott,
 E. C. (1997) <doi:10.2307/2953682> Mcelroy, T. (2008)
 <doi:10.1111/j.1368-423X.2008.00230.x> Meyer-Gohde, A. (2010)
 <https://ideas.repec.org/c/dge/qmrbcd/181.html> For more references, see the
 vignette.

Package: r-cran-hpir
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2582
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-lubridate, r-cran-robustbase, r-cran-ggplot2, r-cran-imputets, r-cran-purrr, r-cran-forecast, r-cran-gridextra, r-cran-mass, r-cran-rlang, r-cran-plyr, r-cran-zoo, r-cran-ranger, r-cran-pdp
Suggests: r-cran-markdown, r-cran-testthat, r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hpir_0.3.2-1.ca2004.1_all.deb
Size: 2094940
MD5sum: c2ba4ea065d677a65932f554fce2662e
SHA1: fce78e3df2bcd7ac11392804db8ce98af18c530e
SHA256: 1d241b5da2cdb2f34353a6d104677b952cd47c0d2b55261f23d82c1e3b0b35a2
SHA512: ce514e0b135a086b8bca5899fb29b8f579f204a93cde96708eeae95cae530d4d87e40cb90deb3487b980caed4a3bbb35d0dee5d250c20e7d44c004116394378a
Homepage: https://cran.r-project.org/package=hpiR
Description: CRAN Package 'hpiR' (House Price Indexes)
 Compute house price indexes and series using a variety of different methods
 and models common through the real estate literature.  Evaluate index
 'goodness' based on accuracy, volatility and revision statistics. Background
 on basic model construction for repeat sales models can be found at: Case
 and Quigley (1991)
 <https://ideas.repec.org/a/tpr/restat/v73y1991i1p50-58.html> and for hedonic
 pricing models at: Bourassa et al (2006) <doi:10.1016/j.jhe.2006.03.001>.
 The package author's working paper on the random forest approach to house
 price indexes can be found at:
 <http://www.github.com/andykrause/hpi_research>.

Package: r-cran-hplb
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-fields, r-cran-ranger, r-cran-distrex
Filename: pool/dists/focal/main/r-cran-hplb_1.0.0-1.ca2004.1_all.deb
Size: 39604
MD5sum: 637195eabc9f9bf0e90bc9be922fa915
SHA1: be65f4076e7b24d867e7b7f19e1f94a377d8a17f
SHA256: bebd3b521297a27244a88cc61836c165222dbc6995d208d11e09c4a7e85ab3dc
SHA512: 5a56efb6ef29d2be358e157f1d6bf6704646b85e8993116d0b3afb2d4f9b00c6c6d57f10729f3906c9ff87b36cefc07a1fd8191d56663091d1424a975fac2fd3
Homepage: https://cran.r-project.org/package=HPLB
Description: CRAN Package 'HPLB' (High-Probability Lower Bounds for the Total Variance Distance)
 An implementation of high-probability lower bounds for the total variance
 distance as introduced in Michel & Naef & Meinshausen (2020)
 <arXiv:2005.06006>. An estimated lower-bound (with high-probability) on the
 total variation distance between two probability distributions from which
 samples are observed can be obtained with the function HPLB.

Package: r-cran-hpoplot
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1222
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-rgraphviz, r-cran-functional, r-cran-magrittr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hpoplot_2.4-1.ca2004.1_all.deb
Size: 1043832
MD5sum: d3b5c8b762e41bb4dce5630c687614b9
SHA1: a244127cba9632389b2d62ed94544537f9811b76
SHA256: 748071fd49808b239dd4ed7dfbcbc1923ecfe513307ac7a6ba5e0ed11ecdf275
SHA512: 8b7f07d07fca6830de332609ccc50c679b4dd4018384a4bef40b3de9beb23b9ddb5864095c49abe6ebae2fa1998a0ba6ebb1434fbbe37e60e74560fa2dc3ff0b
Homepage: https://cran.r-project.org/package=hpoPlot
Description: CRAN Package 'hpoPlot' (Functions for Plotting HPO Terms)
 Collection of functions for manipulating sets of HPO terms and plotting them
 with a various options.

Package: r-cran-hqm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-pec, r-cran-timeroc, r-cran-nlme, r-cran-jm
Filename: pool/dists/focal/main/r-cran-hqm_1.0-1.ca2004.1_all.deb
Size: 170784
MD5sum: a855a66aea810a70413b6b623f556032
SHA1: 1500ddfcde306f78e38939edf349b1721f4f1797
SHA256: 5a30d2cda1fa1751ca5b59ddcb763ab299049145afd8dae4daa96e4f38bcc951
SHA512: 43d05f485d5ef1e0bfb1f9ac02f706c3a0cbc92affc8e2f91a3bfdee9f82cc12849bda42380fda7a07b04bf54875e39b17ca94e3a99d401e99e39fe1c2501bf6
Homepage: https://cran.r-project.org/package=HQM
Description: CRAN Package 'HQM' (Superefficient Estimation of Future Conditional Hazards Based onMarker Information)
 Provides a nonparametric smoothed kernel estimator for the future
 conditional hazard rate function when time-dependent covariates are present,
 a bandwidth selector for the estimator's implementation and pointwise and
 uniform confidence bands. Methods used in the package refer to Bagkavos,
 Isakson, Mammen, Nielsen and Proust-Lima (2025)
 <doi:10.1093/biomet/asaf008>.

Package: r-cran-hqmisc
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hqmisc_0.2-1-1.ca2004.1_all.deb
Size: 31936
MD5sum: 916baf86249b209609c2739a88b8094f
SHA1: 57c333de8da31bbaaff71edda32ee2546536c9a3
SHA256: 5d0299d3754db0c89e3da9f02d938986d87bddb019b3ba091a4a6eea01b48141
SHA512: 8cd0ad29432201e49ad72f37c721c97625c9bbf458b26c9e08c15c20f1b9dc0e987d24a334f2684108002ee2922b13470972817439fa13765abdf7c52fcfc456
Homepage: https://cran.r-project.org/package=hqmisc
Description: CRAN Package 'hqmisc' (Miscellaneous Convenience Functions and Dataset)
 Miscellaneous convenience functions and wrapper functions to convert
 frequencies between Hz, semitones, mel and Bark, to create a matrix of dummy
 columns from a factor, to determine whether x lies in range [a,b], and to
 add a bracketed line to an existing plot.  This package also contains an
 example data set of a stratified sample of 80 talkers of Dutch.

Package: r-cran-hr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hr_0.3.0-1.ca2004.1_all.deb
Size: 32308
MD5sum: 1968c09e8d75a2970f63de82fcbade93
SHA1: 4b12279818ebacec2c3681d1b8759f06333aecb1
SHA256: 78510e0d425217e82ec5c4c8a6237e1741dfaea2d371b68e2941b6a7c04e7ce5
SHA512: a9fb5795fd4f86f42218df7fe9d6c659898b83ed5d1242bbe04c4507d8640ea5dee60fcd8c6b8867fde72d8627e200155236d1e5ce86ab100f331f6063d2c95c
Homepage: https://cran.r-project.org/package=hR
Description: CRAN Package 'hR' (Better Data Engineering in Human Resources)
 Methods for data engineering in the human resources (HR) corporate domain.
 Designed for HR analytics practitioners and workforce-oriented data sets.

Package: r-cran-hrbrthemes
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-extrafont, r-cran-magrittr, r-cran-gdtools
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-gridextra, r-cran-hunspell, r-cran-stringi, r-cran-gcookbook, r-cran-clipr, r-cran-vdiffr, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-hrbrthemes_0.8.7-1.ca2004.1_all.deb
Size: 695848
MD5sum: dee15d417b5094eb0f1124dc4e1de611
SHA1: 369a7847d6dd7f64ec40a94efb0936fdf6f3b148
SHA256: a3ca97741f2a9b3a855d22016f7648e4297818b6ced6c6abe05e7a6febe15910
SHA512: 4f944d3856134c7c572a92ce250fd390e10bb5be33d09f0355ce2097ffac070088b6d28eea3e68299b90c2b5f80a4d50230b9ee455fabe0142ba94b63e306ad3
Homepage: https://cran.r-project.org/package=hrbrthemes
Description: CRAN Package 'hrbrthemes' (Additional Themes, Theme Components and Utilities for 'ggplot2')
 A compilation of extra 'ggplot2' themes, scales and utilities, including a
 spell check function for plot label fields and an overall emphasis on
 typography.  A copy of the 'Google' font 'Roboto Condensed' is also
 included.

Package: r-cran-hrcomprisk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hrcomprisk_0.1.1-1.ca2004.1_all.deb
Size: 365960
MD5sum: 2020b24a8ef0c903906392812309dab1
SHA1: ad483891b41d72adf7bad53e81c9d9e530299cc8
SHA256: 7e5fb0011d93692a6ef7a917d08f621b0c83b69951753ba5f0d2b28a78689725
SHA512: dfb1618f6fdb6292027d321c2a16a9ea189098098bbf424dc28f6e78fbec266b9b70839dc89c3317444651f4e221f4223a2ddedb9772142d09936c9217e60ed8
Homepage: https://cran.r-project.org/package=hrcomprisk
Description: CRAN Package 'hrcomprisk' (Nonparametric Assessment Between Competing Risks Hazard Ratios)
 Nonparametric cumulative-incidence based estimation of the ratios of
 sub-hazard ratios to cause-specific hazard ratios using the approach from Ng
 et al. (2020).

Package: r-cran-hrf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-ciftitools, r-cran-fmritools, r-cran-matrix, r-cran-matrixstats
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-hrf_0.1.3-1.ca2004.1_all.deb
Size: 224716
MD5sum: 1f0862c568e3971befc1998b57070185
SHA1: e38004dab803bbf54d6263158e8a45a5ae8b6c44
SHA256: 73eb2ad1c75f209224096065549c98d89a4b31f404623ec951c13393066dccc7
SHA512: 53e007b8e0331e827dc55f53702eddaeef3e391887473396625ef34fd6581a3becd8c80f52f12a7c167ee0ef01d23aa6240cca9a40985d5a7c7ac9d0ca79e46e
Homepage: https://cran.r-project.org/package=hrf
Description: CRAN Package 'hrf' (Hemodynamic Response Function)
 Computes the hemodynamic response function (HRF) for task functional
 magnetic resonance imaging (fMRI) data. Also includes functions for
 constructing a design matrix from task fMRI event timings, and for comparing
 multiple design matrices in a general linear model (GLM). A wrapper function
 is provided for GLM analysis of CIFTI-format data. Lastly, there are
 supporting functions which provide visual summaries of the HRFs and design
 matrices.

Package: r-cran-hripw
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 856
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-risca, r-cran-boot
Filename: pool/dists/focal/main/r-cran-hripw_0.1.3-1.ca2004.1_all.deb
Size: 797788
MD5sum: ac70b5c92b01da2dfa33275c610c2906
SHA1: 2ae119970c7cfb0c4e0fd7eedab01a7c50347dd5
SHA256: 7db5bf20d1f4511a9db111fbd044d9298f90a3c7a74b72e01d031b7a90d5c760
SHA512: 2c639058d6da6b908354fd05ecc50d3e4f1e477ad536365daf8113b3e85c69ad7efa6c84c4cea20479f30dc52671175b29756922cf43ac2317cfbae2d2f9d239
Homepage: https://cran.r-project.org/package=hrIPW
Description: CRAN Package 'hrIPW' (Hazard Ratio Estimation using Cox Model Weighted by theEstimated Propensity Score)
 Estimates the log hazard ratio associated with a binary exposure using a Cox
 PH model weighted by the propensity score.  Propensity model is estimated
 using a simple logistic regression.  Variance estimation takes into account
 the propensity score estimation step with the method proposed by Hajage et
 al. (2018) <doi:10.1002/bimj.201700330>.  Both the average treatment effect
 on the overall (ATE) or the treated (ATT) population can be estimated.  For
 the ATE estimation, both unstabilized and stabilized weights can be used.

Package: r-cran-hrtlfmc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmc
Filename: pool/dists/focal/main/r-cran-hrtlfmc_0.1.0-1.ca2004.1_all.deb
Size: 12792
MD5sum: e51e1465d9d1e43f09f54894aee8c56a
SHA1: dc8c70ed812e54023d9b18696865b132f98aeaf2
SHA256: b6e44aa82228e616fb7dde2da5e052d752739a4910915da7dfb9fa7ad9ce6847
SHA512: eaa31541c663b707ac954e191a55213d3c6e67cd0dc372f649f1ec3ad825c1f263ca75450b7f316b89b477d4b90f5a46aabb77dcdd28790dd5690623e70b2aee
Homepage: https://cran.r-project.org/package=hrtlFMC
Description: CRAN Package 'hrtlFMC' (Half Replicate of Two Level Factorial Run Order with MinimumLevel Changes)
 It is used to construct run sequences with minimum changes for half
 replicate of two level factorial run order. Experimenter can save time and
 resources by minimizing the number of changes in levels of individual factor
 and therefore the total number of changes. It consists of the function
 minimal_hrtlf(). This technique can be employed to any half replicate of two
 level factorial run order where the number of factors are greater than two.
 In Design of Experiments (DOE) theory, two level of a factor can be
 represented as integers e.g. - 1 for low and 1 for high. User is expected to
 enter total number of factors to be considered in the experiment.
 minimal_hrtlf() provides the required run sequences for the input number of
 factors.  The output also gives the number of changes of each factor along
 with total number of changes in the run sequence. Due to restricted
 randomization the minimally changed run sequences of half replicate of two
 level factorial run order will be affected by trend effect. The output also
 provides the Trend Factor value of the run order. Trend factor value will
 lies between 0 to 1. Higher the values, lesser the influence of trend
 effects on the run order.

Package: r-cran-hrw
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth
Suggests: r-cran-fields, r-cran-lattice, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-hrw_1.0-5-1.ca2004.1_all.deb
Size: 7590664
MD5sum: 943381f894ffce721294508ced836811
SHA1: 555b0a89cbade653e3bc07e0225f57fd1320cabe
SHA256: f6fa8eddd97a749d8ce1469dc55395850f0977a22efc7f2577f52c3c9a32a0e8
SHA512: 699aab0e2110b7649679e7304e43d7848f47756f1c93fcc9d961caa1e294ac2881a5630d7b1f610cebd6a3049bb1e8094eeb75a103451181193e1da00603de6b
Homepage: https://cran.r-project.org/package=HRW
Description: CRAN Package 'HRW' (Datasets, Functions and Scripts for Semiparametric RegressionSupporting Harezlak, Ruppert & Wand (2018))
 The book "Semiparametric Regression with R" by J. Harezlak, D. Ruppert &
 M.P. Wand (2018, Springer; ISBN: 978-1-4939-8851-8) makes use of datasets
 and scripts to explain semiparametric regression concepts. Each of the
 book's scripts are contained in this package as well as datasets that are
 not within other R packages. Functions that aid semiparametric regression
 analysis are also included.

Package: r-cran-hs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-ggpubr, r-cran-data.table, r-cran-tidyr, r-cran-reshape2, r-cran-ggplot2, r-cran-partitions
Filename: pool/dists/focal/main/r-cran-hs_1.1-1.ca2004.1_all.deb
Size: 143952
MD5sum: a632e7f8ff388a58a749a599837948b9
SHA1: a023e8be28cc0d0cc53c70ac18c83133e01d4ec9
SHA256: 22497e388d1f2e7ef47d3cf23a70acca97b2bbab95b7c0eca4a3aeed0982c54f
SHA512: bc8cb1631a325a0cdfa50740ee55d7b724a3a0503513acf6170807e79c942261d56562a14f48635765b7f9194e8203c479381e96739449087e0f53b92357fadc
Homepage: https://cran.r-project.org/package=HS
Description: CRAN Package 'HS' (Homogenous Segmentation for Spatial Lines Data)
 Methods of homogenous segmentation for spatial lines data, such as pavement
 performance indicators and traffic volumes. Three methods are available for
 homogenous segmentation, including cumulative difference approach,
 minimization coefficient of variation, and spatial heterogeneity based
 method.

Package: r-cran-hsaur2
Architecture: all
Version: 1.1-21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3856
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-lattice, r-cran-mass, r-cran-scatterplot3d, r-cran-ape, r-cran-coin, r-cran-flexmix, r-cran-gee, r-cran-lme4, r-cran-mclust, r-cran-party, r-cran-randomforest, r-cran-rmeta, r-cran-vcd, r-cran-survival, r-cran-rpart, r-cran-gamair, r-cran-multcomp, r-cran-sandwich, r-cran-mboost, r-cran-kernsmooth, r-cran-matrix, r-cran-boot, r-cran-mgcv, r-cran-mvtnorm, r-cran-partykit, r-cran-wordcloud, r-cran-th.data
Filename: pool/dists/focal/main/r-cran-hsaur2_1.1-21-1.ca2004.1_all.deb
Size: 2578228
MD5sum: ec80a287b26a76bd4544136da5379298
SHA1: a820364e30dc00f07ce3aa6eb253329dad325a96
SHA256: fa9b99ac2cdecd647866775e569cbc3317366d0408f85f5121bed4774720a4a2
SHA512: 294ea18c0b5c93227f1b1add82f8bd036f2e827a8789f07777f85e6903748facb685b1840e540104f63a622e64ed50c38141eb597090917460d16ffb541bc9d0
Homepage: https://cran.r-project.org/package=HSAUR2
Description: CRAN Package 'HSAUR2' (A Handbook of Statistical Analyses Using R (2nd Edition))
 Functions, data sets, analyses and examples from the second edition of the
 book ''A Handbook of Statistical Analyses Using R'' (Brian S. Everitt and
 Torsten Hothorn, Chapman & Hall/CRC, 2008). The first chapter of the book,
 which is entitled ''An Introduction to R'', is completely included in this
 package, for all other chapters, a vignette containing all data analyses is
 available. In addition, the package contains Sweave code for producing
 slides for selected chapters (see HSAUR2/inst/slides).

Package: r-cran-hsaur3
Architecture: all
Version: 1.0-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4059
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-boot, r-cran-lattice, r-cran-mass, r-cran-mgcv, r-cran-rpart, r-cran-survival, r-cran-ape, r-cran-coin, r-cran-flexmix, r-cran-formula, r-cran-gamair, r-cran-gamlss.data, r-cran-gee, r-cran-kernsmooth, r-cran-lme4, r-cran-maps, r-cran-mboost, r-cran-mclust, r-cran-mlbench, r-cran-mice, r-cran-multcomp, r-cran-mvtnorm, r-cran-partykit, r-cran-quantreg, r-cran-randomforest, r-cran-rmeta, r-cran-sandwich, r-cran-scatterplot3d, r-cran-sf, r-cran-sp, r-cran-th.data, r-cran-vcd, r-cran-wordcloud, r-cran-hsaur2
Filename: pool/dists/focal/main/r-cran-hsaur3_1.0-15-1.ca2004.1_all.deb
Size: 2979328
MD5sum: a1a8d5d3faeecf553280878fba05af10
SHA1: 9a0223c19bb8ae8fcf3274bd1073630cbc1c2785
SHA256: 205532c9afb4940713db251df9b2aa28be09cab24ad7b23188ea97de369f69b4
SHA512: 0f08850293f70f496aae999d6ad9e68ae384b4b912cffb64f578bde579e6b85d3883fc437fcd701483f5a3585a65de3d128982597df852b450f74de8854812c2
Homepage: https://cran.r-project.org/package=HSAUR3
Description: CRAN Package 'HSAUR3' (A Handbook of Statistical Analyses Using R (3rd Edition))
 Functions, data sets, analyses and examples from the third edition of the
 book ''A Handbook of Statistical Analyses Using R'' (Torsten Hothorn and
 Brian S.  Everitt, Chapman & Hall/CRC, 2014). The first chapter of the book,
 which is entitled ''An Introduction to R'', is completely included in this
 package, for all other chapters, a vignette containing all data analyses is
 available. In addition, Sweave source code for slides of selected chapters
 is included in this package (see HSAUR3/inst/slides). The publishers web
 page is
 '<https://www.routledge.com/A-Handbook-of-Statistical-Analyses-using-R/Hothorn-Everitt/p/book/9781482204582>'.

Package: r-cran-hsaur
Architecture: all
Version: 1.3-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2686
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-lattice, r-cran-mass, r-cran-scatterplot3d, r-cran-ape, r-cran-coin, r-cran-flexmix, r-cran-gee, r-cran-lme4, r-cran-mclust, r-cran-party, r-cran-randomforest, r-cran-rmeta, r-cran-vcd, r-cran-survival, r-cran-kernsmooth, r-cran-rpart, r-cran-mvtnorm, r-cran-matrix, r-cran-boot, r-cran-th.data
Filename: pool/dists/focal/main/r-cran-hsaur_1.3-11-1.ca2004.1_all.deb
Size: 1816356
MD5sum: c4b406821b8120c9774142648219fc07
SHA1: 70ddfec11f6c15afd906f8985f1b19f21d3da25a
SHA256: 9e388b99ec2c6ef795d813b28bbd1576ae223d093ea92304f054d13959e9af8f
SHA512: 9b2065042f8cf855fc095add89b8c01ed09537bf25d311e9f4b837df3e47745785ca59bcb69f87fa9b3c9f0a128244ad7754b7b04bc92bc0d7496dc47e6c5b28
Homepage: https://cran.r-project.org/package=HSAUR
Description: CRAN Package 'HSAUR' (A Handbook of Statistical Analyses Using R (1st Edition))
 Functions, data sets, analyses and examples from the book ''A Handbook of
 Statistical Analyses Using R'' (Brian S. Everitt and Torsten Hothorn,
 Chapman & Hall/CRC, 2006). The first chapter of the book, which is entitled
 ''An Introduction to R'', is completely included in this package, for all
 other chapters, a vignette containing all data analyses is available.

Package: r-cran-hscovar
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-foreach, r-cran-rlist, r-cran-pwr
Filename: pool/dists/focal/main/r-cran-hscovar_0.4.2-1.ca2004.1_all.deb
Size: 311748
MD5sum: d3cf68484190a589bb8544c4f64c0545
SHA1: 7f01e69e62f819ad8ed1481451b850dd54d492a2
SHA256: 796f71da5d472730b74edb62e2e047b010cab09df6304a7c45fc35f10cb17d77
SHA512: 79b40d5f62e00e24a1fdf2287508bbf6b405f1f063a23bf3618faaabba42a74e4bb59f297e90d4fd9cee56f27922440c3891b2f28fa990991b479bbcaa1b4c9c
Homepage: https://cran.r-project.org/package=hscovar
Description: CRAN Package 'hscovar' (Calculation of Covariance Between Markers for Half-Sib Families)
 The theoretical covariance between pairs of markers is calculated from
 either paternal haplotypes and maternal linkage disequilibrium (LD) or vise
 versa. A genetic map is required. Grouping of markers is based on the
 correlation matrix and a representative marker is suggested for each group.
 Employing the correlation matrix, optimal sample size can be derived for
 association studies based on a SNP-BLUP approach.  The implementation relies
 on paternal half-sib families and biallelic markers. If maternal half-sib
 families are used, the roles of sire/dam are swapped. Multiple families can
 be considered.  Wittenburg, Bonk, Doschoris, Reyer (2020) "Design of
 Experiments for Fine-Mapping Quantitative Trait Loci in Livestock
 Populations" <doi:10.1186/s12863-020-00871-1>.  Carlson, Eberle, Rieder, Yi,
 Kruglyak, Nickerson (2004) "Selecting a maximally informative set of
 single-nucleotide polymorphisms for association analyses using linkage
 disequilibrium" <doi:10.1086/381000>.

Package: r-cran-hsdic
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ncvreg, r-cran-glmnet, r-cran-quadprog, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-hsdic_0.1-1.ca2004.1_all.deb
Size: 26204
MD5sum: db6d25473ceffe6b7d304347f61d5589
SHA1: 6583194a3fbccb8e2c153014016b5d33ca8ccacf
SHA256: 1ff715eb5eb76b045f887de68961a2e8ba7a3d1fd84a2a253ad868a0874b3d36
SHA512: 5aa2e4dfef7f0797ded22d4b9b4bd4a263b50b56ee9ae8b501f2ccb3355ad5797fa40175a16ab1433555a27d94a2bd828ba760bb70ef59dab819be9671c8d45e
Homepage: https://cran.r-project.org/package=HSDiC
Description: CRAN Package 'HSDiC' (Homogeneity and Sparsity Detection Incorporating PriorConstraint Information)
 We explore sparsity and homogeneity of regression coefficients incorporating
 prior constraint information. A general pairwise fusion approach is proposed
 to deal with the sparsity and homogeneity detection when combining prior
 convex constraints. We develop an modified alternating direction method of
 multipliers algorithm (ADMM) to obtain the estimators.

Package: r-cran-hse
Architecture: all
Version: 0.0-28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 34
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hse_0.0-28-1.ca2004.1_all.deb
Size: 6828
MD5sum: 6f71b2190588e6ef5729b334b2936d92
SHA1: de2fade6df98d98c5d10629ebdcd724b99afd63e
SHA256: ed449f75c6f5328a7a8705fa83b683602cb0cb8b216a17d3c7f9a7d11703c287
SHA512: 67b4486c9d7eb5606bccf3dbdaf7943ec9d7e2114da0b5b6017c2327bfff84cd136942536c7a23fcfe84b9837b8db2c47f112ec3870fa1070236b25bcdfae73b
Homepage: https://cran.r-project.org/package=hse
Description: CRAN Package 'hse' (The hse Distribution)
 Deprecated.

Package: r-cran-hsem
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-numderiv, r-cran-boot, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-hsem_1.0-1.ca2004.1_all.deb
Size: 354108
MD5sum: fbb5798b55059af4235cf942e81a8b1d
SHA1: a5f3ad758b2cc3c2202f6e0a391db16ae6b38849
SHA256: abb122a9a1186227df9baacb97de912e8778e0d6467d78780e115f769d342fb0
SHA512: b335f3e568189919dc9f13bd2efbb0ab8bf301ae5c7d8f10609b8408945e7c82d7dc3bb6d7db8045aa949d9f8e81e1897953039dfa71e7577e46ecd18d08dda1
Homepage: https://cran.r-project.org/package=hsem
Description: CRAN Package 'hsem' (Hierarchical Structural Equation Model)
 We present this package for fitting structural equation models using the
 hierarchical likelihood method. This package allows extended structural
 equation model, including dynamic structural equation model. We illustrate
 the use of our packages with well-known data sets. Therefore, this package
 are able to handle two serious problems inadmissible solution and factor
 indeterminacy <doi:10.3390/sym13040657>.

Package: r-cran-hset
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-hash
Filename: pool/dists/focal/main/r-cran-hset_0.1.1-1.ca2004.1_all.deb
Size: 176528
MD5sum: 2e698ee22c141da9e4114d5ff500074f
SHA1: 4f3465dd32eb06084a9c58e6e23ad6bff49ef7c1
SHA256: e8004a7a7109e05aa26cd4ed6f38594abea2e1725c22e6f4b55aa7ef52829297
SHA512: b028457c60a5ad440fc8a9871ac248c173d8a704fa3d38ab458d03f951ea5e9a67dd7c8d9084fc7847d631f594e4e1275196dd03126d8b167edb2c3f6f657eff
Homepage: https://cran.r-project.org/package=hset
Description: CRAN Package 'hset' (Sets of Numbers Implemented with Hash Tables)
 Implementation of S4 class of sets and multisets of numbers.  The
 implementation is based on the hash table from the package 'hash'.  Quick
 operations are allowed when the set is a dynamic object.  The implementation
 is discussed in detail in Ceoldo and Wit (2023) <arXiv:2304.09809>.

Package: r-cran-hsetest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hsetest_0.1.0-1.ca2004.1_all.deb
Size: 11076
MD5sum: 9b791a986ece17c16623f3d2bec29f9b
SHA1: ff669476cbcbf45e49050fe695996d071aed4bb2
SHA256: d3b0fd62ef53f5f71f8f4de74ce623588a45c459ddc8c6ce83e3f14f8c15d315
SHA512: 8e47be5beba726380991f32d079ea962c838dd914662c769cd7c2709de1482d97ce9cea076cc1df45ca3e981e5f87bdf092d8d8761cb28e22ff74972724bb6fd
Homepage: https://cran.r-project.org/package=HSEtest
Description: CRAN Package 'HSEtest' (Homogeneity of Stratum Effects Test)
 To test the homogeneity of stratum effects in stratified paired binary data.

Package: r-cran-hsiccca
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hsiccca_1.0-1.ca2004.1_all.deb
Size: 43028
MD5sum: f7f606b036d58a606ecc742c7afb913f
SHA1: 181eeeb625326a92d8e2ddd6477ab06dd87b30b8
SHA256: 955fa5e7cdd6923142e0af6b01ff4eaac04d623e1f0ddeda1f7c707b895b035b
SHA512: a0da3edb7381e77d830ed794b537ccb8a5933be36904d30922d46beaa0e40082619827a0e94db0e5f544a583ed681be56d8f84b6566626af26921342afdbf568
Homepage: https://cran.r-project.org/package=hsicCCA
Description: CRAN Package 'hsicCCA' (Canonical Correlation Analysis based on Kernel IndependenceMeasures)
 Canonical correlation analysis that extracts nonlinear correlation through
 the use of Hilbert Schmidt Independence Criterion and Centered Kernel Target
 Alignment.

Package: r-cran-hspm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1386
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula, r-cran-sphet, r-cran-spdep, r-cran-matrix
Suggests: r-cran-splm
Filename: pool/dists/focal/main/r-cran-hspm_1.1-1.ca2004.1_all.deb
Size: 1362172
MD5sum: d55bba1abce5fb15181b76e803ecf0b9
SHA1: e6cae523e4575088eac6fa86bb5591b9d9dd9124
SHA256: e582a249ae8eab0f76cbdc13462129a653e5a247e59dfb58cd439e73116a004d
SHA512: b05ab311a0a2851da404385df6c3c52c4514ed3507e1eb13c04a6a08a7f007e880675b5383a28dcdf633836b632df9f7c5f5ce9829f1ef4ca52331a77b95e799
Homepage: https://cran.r-project.org/package=hspm
Description: CRAN Package 'hspm' (Heterogeneous Spatial Models)
 Spatial heterogeneity can be specified in various ways. 'hspm' is an
 ambitious project that aims at implementing various methodologies to control
 for heterogeneity in spatial models. The current version of 'hspm' deals
 with spatial and (non-spatial) regimes models. In particular, the package
 allows to estimate a general spatial regimes model with additional
 endogenous variables, specified in terms of a spatial lag of the dependent
 variable, the spatially lagged regressors, and, potentially, a spatially
 autocorrelated error term. Spatial regime models are estimated by
 instrumental variables and generalized methods of moments (see Arraiz et
 al., (2010) <doi:10.1111/j.1467-9787.2009.00618.x>, Bivand and Piras, (2015)
 <doi:10.18637/jss.v063.i18>, Drukker et al., (2013)
 <doi:10.1080/07474938.2013.741020>, Kelejian and Prucha, (2010)
 <doi:10.1016/j.jeconom.2009.10.025>).

Package: r-cran-hspor
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-npregfast
Filename: pool/dists/focal/main/r-cran-hspor_1.1.9-1.ca2004.1_all.deb
Size: 166588
MD5sum: 1bdcc43d24b5b5542a8a551978ca63c6
SHA1: cf3e9a4b708d1b3701f31eaace28ccfca9b42402
SHA256: 1da1bbddbb1ea5f309a920c52ca8acf2fea1407caa28b9674b8bb31b720eb12f
SHA512: b6259c91583fe9c5e1c789c84e795746e0417989a33bca4ba930cbd1c6b6da64420a05a9d2278d3b83020a6f8301b6d9060d8af30a2f644c065d2af1336eb581
Homepage: https://cran.r-project.org/package=HSPOR
Description: CRAN Package 'HSPOR' (Hidden Smooth Polynomial Regression for Rupture Detection)
 Several functions that allow by different methods to infer a piecewise
 polynomial regression model under regularity constraints, namely continuity
 or differentiability of the link function. The implemented functions are
 either specific to data with two regimes, or generic for any number of
 regimes, which can be given by the user or learned by the algorithm. A paper
 describing all these methods will be submitted soon. The reference will be
 added to this file as soon as available.

Package: r-cran-hstats
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 989
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hstats_1.2.1-1.ca2004.1_all.deb
Size: 304080
MD5sum: fd05c0e58dedfcd46af4e5a32f8db381
SHA1: 49a84f739c0ef00ee162aa972b8ae2f029ca296b
SHA256: 58391b77376aecc84c82021da876a8c1df7dae19380c89228128948980e8d566
SHA512: b716d513f15b641eb4b4c37f29dc0b11aa6c8944fa34474e72ff1d33b971d8fe17962483cb7e820922859b1f6723ede1faac21a310bee8117cb3e8140088fdfe
Homepage: https://cran.r-project.org/package=hstats
Description: CRAN Package 'hstats' (Interaction Statistics)
 Fast, model-agnostic implementation of different H-statistics introduced by
 Jerome H. Friedman and Bogdan E. Popescu (2008) <doi:10.1214/07-AOAS148>.
 These statistics quantify interaction strength per feature, feature pair,
 and feature triple.  The package supports multi-output predictions and can
 account for case weights.  In addition, several variants of the original
 statistics are provided.  The shape of the interactions can be explored
 through partial dependence plots or individual conditional expectation
 plots. 'DALEX' explainers, meta learners ('mlr3', 'tidymodels', 'caret') and
 most other models work out-of-the-box.

Package: r-cran-htestclust
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bootstrap, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-htestclust_0.2.2-1.ca2004.1_all.deb
Size: 233076
MD5sum: 152e290fc804b71fba710fc6cbcce8cb
SHA1: 3708e2c9c45dfaa1e3ee7940b72d060751b4a664
SHA256: 7eb8ca3eee825106894554263398741dd28d0c90599c8a3218667ac509af0489
SHA512: 895b7bfd32b60edc3b49ab272f2ee811ffdd777a22503606730b32a235baeef707b4cad0fe63f1e8f5ffc91ce8263c621a3abb26aacd48b1f4c530cc1357b6b5
Homepage: https://cran.r-project.org/package=htestClust
Description: CRAN Package 'htestClust' (Reweighted Marginal Hypothesis Tests for Clustered Data)
 A collection of reweighted marginal hypothesis tests for clustered data,
 based on reweighting methods of Williamson, J., Datta, S., and Satten, G.
 (2003) <doi:10.1111/1541-0420.00005>.  The tests in this collection are
 clustered analogs to well-known hypothesis tests in the classical setting,
 and are appropriate for data with cluster- and/or group-size
 informativeness. The syntax and output of functions are modeled after
 common, recognizable functions native to R. Methods used in the package
 refer to Gregg, M., Datta, S., and Lorenz, D. (2020)
 <doi:10.1177/0962280220928572>, Nevalainen, J., Oja, H., and Datta, S.
 (2017) <doi:10.1002/sim.7288> Dutta, S. and Datta, S. (2015)
 <doi:10.1111/biom.12447>, Lorenz, D., Datta, S., and Harkema, S. (2011)
 <doi:10.1002/sim.4368>, Datta, S. and Satten, G. (2008)
 <doi:10.1111/j.1541-0420.2007.00923.x>, Datta, S. and Satten, G. (2005)
 <doi:10.1198/016214504000001583>.

Package: r-cran-htgm2d
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1236
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minimalistgodb, r-cran-gominer, r-cran-htgm, r-cran-gplots, r-cran-jaccard, r-cran-vprint, r-cran-randomgodb, r-cran-hgnchelper
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htgm2d_1.1-1.ca2004.1_all.deb
Size: 938636
MD5sum: 4354f2aac2ddca0303a4350220ad251f
SHA1: e44d1393644907b190c692cb88190e788cf4296a
SHA256: d002aa92bc0882a123f7a18d37c7edc57a95d4b0c05b9ab6b10308480a8f9f06
SHA512: 44f3fbf33f61769c6ef39e797d49c0dbde64e82463e5b3b552812ce8286465df0edea998f3cd9fe5a98e812ccb241e34bc9eec513672cdebd8afb3fe980067eb
Homepage: https://cran.r-project.org/package=HTGM2D
Description: CRAN Package 'HTGM2D' (Two Dimensional High Throughput 'GoMiner')
 The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes
 genes into hierarchical categories based on biological process (BP),
 molecular function (MF) and cellular component (CC, i.e., subcellular
 localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang,
 G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform
 ontological analysis of microarray and proteomics studies, typically
 generating a list of significant functional categories. Microarray studies
 are usually analyzed with BP, whereas proteomics researchers often prefer
 CC. To capture the benefit of both of those ontologies, I developed a
 two-dimensional version of 'High-Throughput GoMiner' ('HTGM2D'). I generate
 a 2D heat map whose axes are any two of BP, MF, or CC, and the value within
 a picture element of the heat map reflects the Jaccard metric p-value for
 the number of genes in common for the corresponding pair.

Package: r-cran-htgm3d
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1841
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minimalistgodb, r-cran-gominer, r-cran-htgm, r-cran-htgm2d, r-cran-r2html, r-cran-rgl, r-cran-vprint, r-cran-randomgodb, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htgm3d_1.0-1.ca2004.1_all.deb
Size: 1309524
MD5sum: 1ed918097725aa2e31b5438a10d3ec12
SHA1: 89497a93e838491baa86e9972f304a4ea7219e15
SHA256: 1b2480b7b14a66f38f740b1d5cfe553fc5ccd8703b486cde9c27f42ab780cd19
SHA512: 0b1ef043488314a480d8db89482bd192a9588035c46dd6d253715c5cf35b50a177ff556036ffe1a75c3c9675465fa9713986b73a8eb79a512269342a249f0bb2
Homepage: https://cran.r-project.org/package=HTGM3D
Description: CRAN Package 'HTGM3D' (Three Dimensional High Throughput 'GoMiner')
 The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes
 genes into hierarchical categories based on biological process (BP),
 molecular function (MF) and cellular component (CC, i.e., subcellular
 localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang,
 G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform
 ontological analysis of microarray and proteomics studies, typically
 generating a list of significant functional categories. To capture the
 benefit of all three ontologies, I developed 'HTGM3D', a three-dimensional
 version of 'GoMiner'.

Package: r-cran-htgm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2290
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minimalistgodb, r-cran-gominer, r-cran-gplots, r-cran-vprint
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htgm_1.2-1.ca2004.1_all.deb
Size: 836072
MD5sum: 84fe0aa49156313a3cbd5020f63cd775
SHA1: 215f55692fac4fd647ad2f2721750fc78c9bb5f5
SHA256: 904461a4051322c895c7044f74bdd19c30e35de80e9e7c6a7714b04a3e628fc8
SHA512: 1cefa7036779500398b4d9d13edb756efb915570a9ee6f0331d5544445d2ba7c2c1a7a067e915155d312b024fe6b5c7f86fc3585e973bbbc1ead8c79864e4f0f
Homepage: https://cran.r-project.org/package=HTGM
Description: CRAN Package 'HTGM' (High Throughput 'GoMiner')
 Two papers published in the early 2000's (Zeeberg, B.R., Feng, W., Wang, G.
 et al.  (2003) <doi:10.1186/gb-2003-4-4-r28>) and (Zeeberg, B.R., Qin, H.,
 Narashimhan, S., et al. (2005) <doi:10.1186/1471-2105-6-168>) implement
 'GoMiner' and 'High Throughput GoMiner' ('HTGM') to map lists of genes to
 the Gene Ontology (GO) <https://geneontology.org>. Until recently, these
 were hosted on a server at The National Cancer Institute (NCI). In order to
 continue providing these services to the bio-medical community, I have
 developed stand-alone versions.  The current package 'HTGM' builds upon my
 recent package 'GoMiner'.  The output of 'GoMiner' is a heatmap showing the
 relationship of a single list of genes and the significant categories into
 which they map. 'High Throughput GoMiner' ('HTGM') integrates the results of
 the individual 'GoMiner' analyses. The output of 'HTGM' is a heatmap showing
 the relationship of the significant categories derived from each gene list.
 The heatmap has only 2 axes, so the identity of the genes are unfortunately
 "integrated out of the equation." Because the graphic for the heatmap is
 implemented in Scalable Vector Graphics (SVG) technology, it is relatively
 easy to hyperlink each picture element to the relevant list of genes. By
 clicking on the desired picture element, the user can recover the "lost"
 genes.

Package: r-cran-htm2txt
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-htm2txt_2.2.2-1.ca2004.1_all.deb
Size: 57600
MD5sum: 18a8c01fc8820d763d707acadebd67ce
SHA1: fd5030abe2d0819c9cddf7f58bc1989f62d6fe68
SHA256: 845cbd62407f0b7fd6bc3c2b90e5ff74c7b8d34061647d08dadf913b24489e1e
SHA512: 86884b2bea6b55a9cd1df3c887e298c18a060cd1703ea33a608a98cb5daa7e209b284ae29cef9fb8168d0327693a5d08061323648dccd9c8adb01995ea9295af
Homepage: https://cran.r-project.org/package=htm2txt
Description: CRAN Package 'htm2txt' (Convert Html into Text)
 Convert a html document to plain texts by stripping off all html tags.

Package: r-cran-htmcglm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doby, r-cran-matrix, r-cran-mcglm, r-cran-sjmisc, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-htmcglm_0.0.1-1.ca2004.1_all.deb
Size: 98152
MD5sum: 25cbca4d34b3fcc5c36b953730f2c5c2
SHA1: 11275be975ec09c8579775176d88f01c31cb2308
SHA256: 2f6c8c7d44a3a4258db715bc321837af7d43b488e9e5a75932e6f2d33a46e10f
SHA512: 312069bde5cb0aa13c6743ca25580819633c6d59ad085e9a8ddc03121889f273ad1fccc4d577ebe7a52ac7df7deb7b31a928f12589023e8fa469a183136c9cff
Homepage: https://cran.r-project.org/package=htmcglm
Description: CRAN Package 'htmcglm' (Hypothesis Testing for McGLMs)
 Performs hypothesis testing for multivariate covariance generalized linear
 models (McGLMs).  McGLM is a general framework for non-normal multivariate
 data analysis, designed to handle multivariate response variables, along
 with a wide range of temporal and spatial correlation structures defined in
 terms of a covariance link function combined with a matrix linear predictor
 involving known matrices.  The models take non-normality into account in the
 conventional way by means of a variance function, and the mean structure is
 modelled by means of a link function and a linear predictor.  The models are
 fitted using an efficient Newton scoring algorithm based on quasi-likelihood
 and Pearson estimating functions, using only second-moment assumptions. This
 provides a unified approach to a wide variety of different types of response
 variables and covariance structures, including multivariate extensions of
 repeated measures, time series, longitudinal, spatial and spatio-temporal
 structures.  The package offers a user-friendly interface for fitting McGLMs
 similar to the glm() R function.

Package: r-cran-html2r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-shiny, r-cran-shinyace, r-cran-shinythemes, r-cran-shinyjqui
Filename: pool/dists/focal/main/r-cran-html2r_0.1.0-1.ca2004.1_all.deb
Size: 60048
MD5sum: f45bd72a6392d4f8aef26b1b0c6e08c8
SHA1: 552dc1895f53d4cbf6bac558d6df033ef739084a
SHA256: b6d93cd6b0fa295ab3b4d78db48d7982cf204a58da2f9a520f9610fe0349159e
SHA512: 2494881084c2f95d990eb048d6a61cae4b492886ee70c7c6df3dd33cf2c96f7fb7d5a250cf8cba2c8403aa5e07a35aaa823aaf7eaa458f68ade4b9b6ee62bcac
Homepage: https://cran.r-project.org/package=html2R
Description: CRAN Package 'html2R' (Convert 'HTML' to 'R' with a 'Shiny' App)
 Provides a 'Shiny' app allowing to convert 'HTML' code to 'R' code (e.g.
 '<span>Hello</span>' to 'tags$span("Hello")'), for usage in a 'Shiny' UI.

Package: r-cran-html5
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-html5_1.0.2-1.ca2004.1_all.deb
Size: 247780
MD5sum: 66f1649e3e55e4d272e115a14cc97fca
SHA1: e3b17e57caca3497c835dcdf3341b4dfc22901fc
SHA256: bd7adabd66390f7823266151c38c7da867530564645737cde5988b3071a178a3
SHA512: e5f7d439f6a806ea5798d2b430ca28bcc3d440f0e523ecb0158a42fb459621e69f0f82dc9c64fc264689c4e8a7d0093d6407fde5a2482771c5727c458310ae82
Homepage: https://cran.r-project.org/package=html5
Description: CRAN Package 'html5' (Creates Valid HTML5 Strings)
 Generates valid HTML tag strings for HTML5 elements documented by Mozilla.
 Attributes are passed as named lists, with names being the attribute name
 and values being the attribute value.  Attribute values are automatically
 double-quoted. To declare a DOCTYPE, wrap html() with function doctype().
 Mozilla's documentation for HTML5 is available here:
 <https://developer.mozilla.org/en-US/docs/Web/HTML/Element>.  Elements
 marked as obsolete are not included.

Package: r-cran-htmldf
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cld3, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-processx, r-cran-progress, r-cran-r.utils, r-cran-ranger, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-urltools, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htmldf_0.6.0-1.ca2004.1_all.deb
Size: 186844
MD5sum: 82d86658685b1f48946f09114acdddce
SHA1: c770090d86ba64e478e6270e11c8ffa2089e9722
SHA256: 29f92ec6fed2a92ec0378e5a184fdded6d03db972cb82975a7cd9c407a5c1a7b
SHA512: 78799a323e80d8e13046a96cf0c2806e621cc9bec804bfac58b176143d996cfe98183cbf5f5c129f0c2347ed4eb100b68461ed6aee780ac6cde9ffd81d583a94
Homepage: https://cran.r-project.org/package=htmldf
Description: CRAN Package 'htmldf' (Simple Scraping and Tidy Webpage Summaries)
 Simple tools for scraping webpages, extracting common html tags and parsing
 contents to a tidy, tabular format.  Tools help with extraction of page
 titles, links, images, rss feeds, social media handles and page metadata.

Package: r-cran-htmlreportr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1903
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mime, r-cran-ggplot2, r-cran-knitr, r-cran-xfun, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htmlreportr_1.0.0-1.ca2004.1_all.deb
Size: 1221956
MD5sum: 0cbd951497f4bc5cd19932a03ea6ab46
SHA1: 4e2075db9f1732134fffd6b229f330b05d675a5f
SHA256: 09af503bd2c78de48a7d30fec1f2b62803f1085252c5df0bbe51279fc754d0cc
SHA512: 3d3c639382a52afb793c6f6afcd23401f2d08af8515451d735c6a9a13776fa08e1226600b6b150d3c537506aa96a9416cd457ee19f2d39d80e1052ad93b4478b
Homepage: https://cran.r-project.org/package=htmlreportR
Description: CRAN Package 'htmlreportR' ('HTML' Reporting Made Simple(R))
 Create compressed, interactive 'HTML' (Hypertext Markup Language) reports
 with embedded 'Python' code, custom 'JS' ('JavaScript') and 'CSS' (Cascading
 Style Sheets), and wrappers for 'CanvasXpress' plots, networks and more.
 Based on <https://pypi.org/project/py-report-html/>, its sister project.

Package: r-cran-htmltab
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-tidyr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-htmltab_0.8.2-1.ca2004.1_all.deb
Size: 94700
MD5sum: d450d70b16634c61b8c2bb0875bfc3c9
SHA1: 251e166aca26995512fd1e19424e82790ff8b496
SHA256: c30241e050afda48d9516f15bc1f1f13cff3a9ab78747b30ef020c48d58e7524
SHA512: da35038f2a4fc51b250bd77158bcc0c68df8ac11241f6c3c96ba61a609c4eaf62ccc1594d21a1a73d71118ee5e55130ff7dffbeb005ffa19a9a6dbe33f20f71f
Homepage: https://cran.r-project.org/package=htmltab
Description: CRAN Package 'htmltab' (Assemble Data Frames from HTML Tables)
 HTML tables are a valuable data source but extracting and recasting these
 data into a useful format can be tedious. This package allows to collect
 structured information from HTML tables. It is similar to `readHTMLTable()`
 of the XML package but provides three major advantages. First, the function
 automatically expands row and column spans in the header and body cells.
 Second, users are given more control over the identification of header and
 body rows which will end up in the R table, including semantic header
 information that appear throughout the body. Third, the function
 preprocesses table code, corrects common types of malformations, removes
 unneeded parts and so helps to alleviate the need for tedious
 post-processing.

Package: r-cran-htmltable
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-knitr, r-cran-magrittr, r-cran-checkmate, r-cran-htmlwidgets, r-cran-htmltools, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-xml, r-cran-xml2, r-cran-hmisc, r-cran-rmarkdown, r-cran-chron, r-cran-lubridate, r-cran-tibble, r-cran-purrr, r-cran-tidyselect, r-cran-glue, r-cran-rlang, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-htmltable_2.4.3-1.ca2004.1_all.deb
Size: 384544
MD5sum: 1483038631c708440d9d88e0bbd9d413
SHA1: 7cbb4c1fa689e406bc6aaef44175d3a0d3924eb5
SHA256: 1a77b78de196cfe265d30ac336aa1a37ef831041f64eafac6f3bd48e2065fceb
SHA512: 8694b1e6e20a158471ef9c6bb38bbf606016bf3855f98b560305125f17a21e9f02f330c8e2e68f7dc9de91dd11c6c9e5ba7204ce0ba58697ad4bd1652539d41a
Homepage: https://cran.r-project.org/package=htmlTable
Description: CRAN Package 'htmlTable' (Advanced Tables for Markdown/HTML)
 Tables with state-of-the-art layout elements such as row spanners, column
 spanners, table spanners, zebra striping, and more. While allowing advanced
 layout, the underlying css-structure is simple in order to maximize
 compatibility with common word processors. The package also contains a few
 text formatting functions that help outputting text compatible with
 HTML/LaTeX.

Package: r-cran-htmlutils
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r2html
Filename: pool/dists/focal/main/r-cran-htmlutils_0.1.9-1.ca2004.1_all.deb
Size: 89832
MD5sum: 8619f1f7f01ef72819f9b7252125b44c
SHA1: 66cc4b82064aedfcb2720a65e4276767832d755d
SHA256: a006ce609a4cab9a6186c1f0f8d56e50a5666d072e8f4c4ca0e477251a162f3c
SHA512: 6873b7af34461c26083f9d42eaa89ab8434e321d7b9295c3e8c8d5b840911ee57f5d10b39911f35088a8d7fbc00200ee7ced09e524e9c90f066aa80198c668ea
Homepage: https://cran.r-project.org/package=HTMLUtils
Description: CRAN Package 'HTMLUtils' (Facilitates Automated HTML Report Creation)
 Facilitates automated HTML report creation, in particular framed HTML pages
 and dynamically sortable tables.

Package: r-cran-htmlwidgets
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2078
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-htmlwidgets_1.6.4-1.ca2004.1_all.deb
Size: 406720
MD5sum: 0d119a60abc5d22b747ac228f6bc4c11
SHA1: 22c2ed478e843dbc17e98286a0bce3656f8881b0
SHA256: 3afcbc1ab480ef5aceed5aaa84b08a5adecb2a9ff2589a6bc263ce5cbf2ee8d9
SHA512: 826529dae7fe5a11413b1b31cd556e8c76ec183aac82a8c0698fa22bfbbd961416fef947ae9084b3989eecbf6af663bfdfaac974e79ed71c803b82e399c58285
Homepage: https://cran.r-project.org/package=htmlwidgets
Description: CRAN Package 'htmlwidgets' (HTML Widgets for R)
 A framework for creating HTML widgets that render in various contexts
 including the R console, 'R Markdown' documents, and 'Shiny' web
 applications.

Package: r-cran-htrspranalysis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1612
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-readxl, r-cran-openxlsx, r-cran-minpack.lm, r-cran-zoo, r-cran-gridextra, r-cran-readr, r-cran-rlang, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-ggplot2, r-cran-purrr, r-cran-forcats, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-htrspranalysis_0.1.0-1.ca2004.1_all.deb
Size: 1245100
MD5sum: 3c2cba7b08e5ccb42e2dac467b8ef745
SHA1: 7ebb849104e19bc32cbb52b562871126dd4539be
SHA256: a9a8b17830474a8b0ea205c27b90a7ad503345b7cc225a9ec66c2cb1aeeabc38
SHA512: b99c721cba5cf98a85c75b16c2c069f7e27990b6aa93c9ccfecddca3da0091137317f0228fff12b7ebe6ab17b4b27502796d89279efdb4542e82d8601c72aa09
Homepage: https://cran.r-project.org/package=htrSPRanalysis
Description: CRAN Package 'htrSPRanalysis' (Analysis of Surface Plasmon Resonance Data)
 Analysis of Surface Plasmon Resonance (SPR) and Biolayer Interferometry
 data, with automations for high-throughput SPR. This version of the package
 fits the 1: 1 binding model, with and without bulkshift. It offers optional
 local or global Rmax fitting. The user must provide a sample sheet and a
 Carterra output file in Carterra's current format. There is a utility
 function to convert from Carterra's old output format. The user may run a
 custom pipeline or use the provided 'Runscript', which will produce a pdf
 file containing fitted Rmax, ka, kd and standard errors, a plot of the
 sensorgram and fits, and a plot of residuals. The script will also produce a
 .csv file with all of the relevant parameters for each spot on the SPR chip.

Package: r-cran-htrx
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1301
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastglm, r-cran-caret, r-cran-glmnet, r-cran-tune, r-cran-recipes
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-htrx_1.2.4-1.ca2004.1_all.deb
Size: 827428
MD5sum: 4ef1e030edea951b5be7a45423a1ca9f
SHA1: ad0c546c3e10c94b3b082aa565f38f20fd7f6e9a
SHA256: 90f0fecdc08956e73d51559b9df7af4f60056c474b573621df0653f569f900bd
SHA512: 1282a5b9c9304ce80603856906351cc3aaa97e417fbd81ad618d60b81eff1605a6b2478156434846afed267f636980958774112c09cf858f3cbeed37adfc5c80
Homepage: https://cran.r-project.org/package=HTRX
Description: CRAN Package 'HTRX' (Haplotype Trend Regression with eXtra Flexibility (HTRX))
 Detection of haplotype patterns that include single nucleotide polymorphisms
 (SNPs) and non-contiguous haplotypes that are associated with a phenotype.
 Methods for implementing HTRX are described in Yang Y, Lawson DJ (2023)
 <doi:10.1093/bioadv/vbad038> and Barrie W, Yang Y, Irving-Pease E.K, et al
 (2024) <doi:10.1038/s41586-023-06618-z>.

Package: r-cran-htscluster
Architecture: all
Version: 2.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-edger, r-cran-plotrix, r-cran-capushe
Suggests: r-bioc-htsfilter, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-htscluster_2.0.11-1.ca2004.1_all.deb
Size: 510108
MD5sum: 80447ceee69183dbad5327bc2edf513e
SHA1: 736160b92c5fe2821bc811d17dabdbba45f3c878
SHA256: 4055d7553340a47e7923f3e4fb71b203b8f56b5e9dc54655e982ca8313f913cd
SHA512: a0329770d39d063e833790eaf66b468cb49a60f55f7afc6b4b7d31e637e8450a28f05173545ad91d9d6c34ac8251540588c13bf5d4d43ac861d8ecb7faa0b26d
Homepage: https://cran.r-project.org/package=HTSCluster
Description: CRAN Package 'HTSCluster' (Clustering High-Throughput Transcriptome Sequencing (HTS) Data)
 A Poisson mixture model is implemented to cluster genes from high-
 throughput transcriptome sequencing (RNA-seq) data. Parameter estimation is
 performed using either the EM or CEM algorithm, and the slope heuristics are
 used for model selection (i.e., to choose the number of clusters).

Package: r-cran-htsdegenerater
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sparsem
Suggests: r-cran-forecast, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-htsdegenerater_0.1.0-1.ca2004.1_all.deb
Size: 36304
MD5sum: 77f4458b604b4b292345418463b1ed8f
SHA1: 56f2fa4462ac3448457803be0bb214f3cc210d09
SHA256: aeb6a3c9d79c4e02b164fc8a3e84162dec0c500a4c64ce01263b8d5e7d25d1cc
SHA512: ca80144466d8fa11e614239dfc503303220a7007a23494f5a1c0608cce5b40798446c5cc2ea05c1fe1b4aeaf06f52391bd3899eb31d585f8b6a6d09d546a3f1c
Homepage: https://cran.r-project.org/package=htsDegenerateR
Description: CRAN Package 'htsDegenerateR' (Degenerate Hierarchical Time Series Reconciliation)
 Takes the MinT implementation of the
 'hts'<https://cran.r-project.org/package=hts> package and adapts it to allow
 degenerate hierarchical structures. Instead of the "nodes" argument, this
 function takes an S matrix which is more versatile in the structures it
 allows. For a demo, see Steinmeister and Pauly (2024)<doi:10.15488/17729>.
 The MinT algorithm is based on Wickramasuriya et al.
 (2019)<doi:10.1080/01621459.2018.1448825>.

Package: r-cran-htseed
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-htseed_0.1.0-1.ca2004.1_all.deb
Size: 27364
MD5sum: 2af2a8174eec02842928b5442d54fe4a
SHA1: b9b571db519a8ae950b624dadf3e9e9ce7fd37cf
SHA256: 15313088a879b86a63dcab32b60a58d654042bb1d92b97740854bc45ea787553
SHA512: 844149a232efeb2c110d5f588a5c41eec05e830d9007d2e930a2390ce8f744ce730ed21d2bddede11a1570c18c1f6d4acc8a85e8a3ff98b4e96d20c4c17c71b2
Homepage: https://cran.r-project.org/package=HTSeed
Description: CRAN Package 'HTSeed' (Fitting of Hydrotime Model for Seed Germination Time Course)
 The seed germination process starts with water uptake by the seed and ends
 with the protrusion of radicle and plumule under varying temperatures and
 soil water potential. Hydrotime is a way to describe the relationship
 between water potential and seed germination rates at germination
 percentages. One important quantity before applying hydrotime modeling of
 germination percentages is to consider the proportion of viable seeds that
 could germinate under saturated conditions. This package can be used to
 apply correction factors at various water potentials before estimating
 parameters like stress tolerance, and uniformity of the hydrotime model.
 Three different distributions namely, Gaussian, Logistic, and Extreme value
 distributions have been considered to fit the model to the seed germination
 time course. Details can be found in Bradford (2002)
 <https://www.jstor.org/stable/4046371>, and Bradford and Still(2004)
 <https://www.jstor.org/stable/23433495>.

Package: r-cran-htseedglm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-htseedglm_0.1.0-1.ca2004.1_all.deb
Size: 19408
MD5sum: a1a64a54ba59711d99fa86d0b645f082
SHA1: 5bee17daaa7fc2f934b017911fd95a9a6ca7ccfc
SHA256: 1cb8918efdc3b82a78170919b26a61df76a7ad6050d6e5473f82c0b1ed489570
SHA512: a7bf13ec318adbe1943f53f755c42220be169531e8a0b980d1d60e1c7947c8f66908fa856a068e5391a791358e3fabfd38fc2389d45cf7e9884537eccf5d921a
Homepage: https://cran.r-project.org/package=HTSeedGLM
Description: CRAN Package 'HTSeedGLM' (Hydro Thermal Time Analysis of Seed Germination UsingGeneralised Linear Model)
 Seed germinates through the physical process of water uptake by dry seed
 driven by the difference in water potential between the seed and the water.
 There exists seed-to-seed variability in the base seed water potential.
 Hence, there is a need for a distribution such that a viable seed with its
 base seed water potential germinates if and only if the soil water potential
 is more than the base seed water potential. This package estimates the
 stress tolerance and uniformity parameters of the seed lot for germination
 under various temperatures by using the hydro-time model of counts of
 germinated seeds under various water potentials. The distribution of base
 seed water potential has been considered to follow Normal, Logistic and
 Extreme value distribution. The estimated proportion of germinated seeds
 along with the estimates of stress and uniformity parameters are obtained
 using a generalised linear model. The significance test of the above
 parameters for within and between temperatures is also performed in the
 analysis. Details can be found in Kebreab and Murdoch (1999)
 <doi:10.1093/jxb/50.334.655> and Bradford (2002)
 <https://www.jstor.org/stable/4046371>.

Package: r-cran-htssip
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2068
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ape, r-cran-magrittr, r-cran-stringr, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-vegan, r-bioc-deseq2, r-bioc-phyloseq, r-cran-coenocliner, r-cran-lazyeval
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-htssip_1.4.1-1.ca2004.1_all.deb
Size: 1548068
MD5sum: 8e18ce1f5304321bf040e6372a89a9bf
SHA1: 0ee751945d1ba19f5755c8ed05775a85ba5fb845
SHA256: 453bed80072c660f94b904609f7563c09fca96e1365acef774eb03f318318422
SHA512: 8a4d2a772a109db85f00268e225c57154da371bf03468f5758a225222419207ae37eba31f64ce102fb06223d1d05fc4952f9502325148d77225e5813979ee9ff
Homepage: https://cran.r-project.org/package=HTSSIP
Description: CRAN Package 'HTSSIP' (High Throughput Sequencing of Stable Isotope Probing DataAnalysis)
 Functions for analyzing high throughput sequencing stable isotope probing
 (HTS-SIP) data.  Analyses include high resolution stable isotope probing
 (HR-SIP), multi-window high resolution stable isotope probing (MW-HR-SIP),
 and quantitative stable isotope probing (q-SIP).

Package: r-cran-httpcache
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-httr
Suggests: r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-httpcache_1.2.0-1.ca2004.1_all.deb
Size: 60232
MD5sum: eac9d64b208ae99a00073c12ccc26d51
SHA1: 544c2b2fd87b03f2ae40b30817c7fd64c0873b34
SHA256: 3f72e127f30c07c9dfb95677648ea2ed904dcd2a36c86bf98b76aefebe0fe85a
SHA512: 5d12bbd14cb65eb848467c767e2226504e36fb94cfcc517be8f381a45e4522d56d740f4cf7ca663d4c4772b8727dbb14c24208546c0aa9147927ced0c9df0dad
Homepage: https://cran.r-project.org/package=httpcache
Description: CRAN Package 'httpcache' (Query Cache for HTTP Clients)
 In order to improve performance for HTTP API clients, 'httpcache' provides
 simple tools for caching and invalidating cache. It includes the HTTP verb
 functions GET, PUT, PATCH, POST, and DELETE, which are drop-in replacements
 for those in the 'httr' package. These functions are cache-aware and provide
 default settings for cache invalidation suitable for RESTful APIs; the
 package also enables custom cache-management strategies.  Finally,
 'httpcache' includes a basic logging framework to facilitate the measurement
 of HTTP request time and cache performance.

Package: r-cran-httpcode
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-httpcode_0.3.0-1.ca2004.1_all.deb
Size: 33340
MD5sum: 57b5aa1b72408c4fad58a789586cbefd
SHA1: ba1857502285702a2ab494ec03c5ca8bfc5b7cd1
SHA256: b26d141a5c4e3b547e51770b8dab3e843bbaa910c7c8805bd48624ca5d33cddb
SHA512: fe57cc3f209ba61e3e1117c1faa33077a753b38f8b6a83a6864f909c2af80e75218786d764c6734312928286840930b6ec805a0bae6d79805b58a5296ea24f74
Homepage: https://cran.r-project.org/package=httpcode
Description: CRAN Package 'httpcode' ('HTTP' Status Code Helper)
 Find and explain the meaning of 'HTTP' status codes.  Functions included for
 searching for codes by full or partial number, by message, and get
 appropriate dog and cat images for many status codes.

Package: r-cran-httping
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-pryr, r-cran-magrittr, r-cran-httpcode
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-httping_0.2.0-1.ca2004.1_all.deb
Size: 23960
MD5sum: f5bab604359a6f24c952e0d2bab73b05
SHA1: c7fad990b47162e28de6d9326c46d5e7b2335420
SHA256: 34d6033bba86a214645ce89be45e02c0140fd411ecee285588c9c47f35d66814
SHA512: a0321da3dc5fe87337589f6075749b88cf9b569e2cfa613f4fc35910e0998af8136cb53a5bbf316acd1472b1710524ccc8beb71804fc02938f3edd258e4ac324
Homepage: https://cran.r-project.org/package=httping
Description: CRAN Package 'httping' ('Ping' 'URLs' to Time 'Requests')
 A suite of functions to ping 'URLs' and to time 'HTTP' 'requests'. Designed
 to work with 'httr'.

Package: r-cran-httpproblems
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-httpproblems_1.0.1-1.ca2004.1_all.deb
Size: 21908
MD5sum: 42223017aca7172553887a2da7e6a67a
SHA1: 856155f577a185944b971c52a80e5a048aa12613
SHA256: 63c27b9ce6c9075b504f275216b5c6f54a423d5adadc3bd10461f8a3acf4d79c
SHA512: df9065a49a3fd232580f4f0c2feaa9eeaca9045b869864569a1da6239349bb61c19c11d66bb86ed00ce64c96c24c2d216887dbc673f6da0ec809f12df48e7afd
Homepage: https://cran.r-project.org/package=httpproblems
Description: CRAN Package 'httpproblems' (Report Errors in Web Applications with 'Problem Details' (RFC7807))
 Tools for emitting the 'Problem Details' structure defined in 'RFC' 7807
 <https://tools.ietf.org/html/rfc7807> for reporting errors from 'HTTP'
 servers in a standard way.

Package: r-cran-httprequest
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-httprequest_0.0.11-1.ca2004.1_all.deb
Size: 27208
MD5sum: 8167df7ee0709b75198e611e96689f43
SHA1: c215bc9809a759b0999265ca3f4088b82b557496
SHA256: cc67ce9d40be4ad96712def8843acb7f6d38ebc06c8fc1b18128c8f1fd9d556e
SHA512: 83addd1cd750193f7d3c34ab8c4de31ff1285cd06abc28bdcd91196bc997ca96cf1c14c17f46ec4086e4efdacdb7c97ab1aa0c7ee31b7d00697461c8a663abd0
Homepage: https://cran.r-project.org/package=httpRequest
Description: CRAN Package 'httpRequest' (Basic HTTP Request)
 HTTP Request protocols. Implements the GET, POST and multipart POST request.

Package: r-cran-httptest2
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-digest, r-cran-httr2, r-cran-jsonlite, r-cran-rlang, r-cran-testthat
Suggests: r-cran-curl, r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-spelling, r-cran-webfakes, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-httptest2_1.2.0-1.ca2004.1_all.deb
Size: 131352
MD5sum: 788e5f43342a3b3036c29d8466b7c1f8
SHA1: 925cb1a21803c1f51d41489e7a24def725ab0ef9
SHA256: 8eb4b2da657ec05a14f0f204978aad4985feee05ffc32ba03279d333438baa30
SHA512: 691d4b2c163bbc3e77e47357470218c711812220f41259c42823a3e50d97bde1b92ce8770afb6ef90c640be274db72421ecac87308f00da9bbb55d3d7ddb40cb
Homepage: https://cran.r-project.org/package=httptest2
Description: CRAN Package 'httptest2' (Test Helpers for 'httr2')
 Testing and documenting code that communicates with remote servers can be
 painful. This package helps with writing tests for packages that use
 'httr2'. It enables testing all of the logic on the R sides of the API
 without requiring access to the remote service, and it also allows recording
 real API responses to use as test fixtures. The ability to save responses
 and load them offline also enables writing vignettes and other dynamic
 documents that can be distributed without access to a live server.

Package: r-cran-httptest
Architecture: all
Version: 4.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-testthat, r-cran-curl, r-cran-digest, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-spelling, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-httptest_4.2.2-1.ca2004.1_all.deb
Size: 161552
MD5sum: d02859aadf64b4306f6ad51b1d556f0f
SHA1: a0b1a0099c3835ffd085ac68e0d4c94e69c4ba7d
SHA256: 22269a58e8c67c1e08ca3ca0d5577941cf70c98a2f7aeaec39b20d5a11ca9220
SHA512: fcecdfce7d27ae9ed44b29ee2e013b988d667d497a2b6201e9982b74d4a1a35089afdc1bf01ab79593758d46e8ca6acb34b3f38b85a4a7f2d44708e0f8560df1
Homepage: https://cran.r-project.org/package=httptest
Description: CRAN Package 'httptest' (A Test Environment for HTTP Requests)
 Testing and documenting code that communicates with remote servers can be
 painful. Dealing with authentication, server state, and other complications
 can make testing seem too costly to bother with. But it doesn't need to be
 that hard. This package enables one to test all of the logic on the R sides
 of the API in your package without requiring access to the remote service.
 Importantly, it provides three contexts that mock the network connection in
 different ways, as well as testing functions to assert that HTTP requests
 were---or were not---made. It also allows one to safely record real API
 responses to use as test fixtures. The ability to save responses and load
 them offline also enables one to write vignettes and other dynamic documents
 that can be distributed without access to a live server.

Package: r-cran-httr2
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 842
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-openssl, r-cran-r6, r-cran-rappdirs, r-cran-rlang, r-cran-vctrs, r-cran-withr
Suggests: r-cran-askpass, r-cran-bench, r-cran-clipr, r-cran-covr, r-cran-docopt, r-cran-httpuv, r-cran-jose, r-cran-jsonlite, r-cran-knitr, r-cran-later, r-cran-nanonext, r-cran-paws.common, r-cran-promises, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-webfakes, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-httr2_1.1.2-1.ca2004.1_all.deb
Size: 718616
MD5sum: 7fd5446f0330d2a3d381aaa9979d65bb
SHA1: 784a4b2e6b9f864cbf3486000fc99ea5e3a17f24
SHA256: 31f4775bfd8fd21ad53e56aa46c4570a9ba416e7b52456d030a63033baacbebc
SHA512: 7e8b755a4da20f408db66c7ff0985118f1f4923849ab9e302bdb8b7d0c3429b041d8fd5ddad5baf9513f7e767b7c50e21086393e18d12c9a1dfa53ff809dd397
Homepage: https://cran.r-project.org/package=httr2
Description: CRAN Package 'httr2' (Perform HTTP Requests and Process the Responses)
 Tools for creating and modifying HTTP requests, then performing them and
 processing the results. 'httr2' is a modern re-imagining of 'httr' that uses
 a pipe-based interface and solves more of the problems that API wrapping
 packages face.

Package: r-cran-httr
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-mime, r-cran-openssl, r-cran-r6
Suggests: r-cran-covr, r-cran-httpuv, r-cran-jpeg, r-cran-knitr, r-cran-png, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-httr_1.4.7-1.ca2004.1_all.deb
Size: 448684
MD5sum: 8077a0e7d7bfa7e2b207d3428fa45bed
SHA1: 7a30658e6ec98b29d0d9db95449a4312afee1a91
SHA256: 0d7ffa9bc37a7ea2acab22940b9edd59e60bbafbeaf277bf24358bc3d2204e0f
SHA512: c10fd3571a83a42a46d927502257db693e48ffcae3168eee6b602d66fe0a9a1f5724d139c7bbb03b4b8cb5f021f2323e80eae34d070d76dd86ee4bc85c6c5ee1
Homepage: https://cran.r-project.org/package=httr
Description: CRAN Package 'httr' (Tools for Working with URLs and HTTP)
 Useful tools for working with HTTP organised by HTTP verbs (GET(), POST(),
 etc). Configuration functions make it easy to control additional request
 components (authenticate(), add_headers() and so on).

Package: r-cran-hubeau
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2174
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-ggplot2, r-cran-hmisc, r-cran-knitr, r-cran-leafpop, r-cran-lubridate, r-cran-mapview, r-cran-rmarkdown, r-cran-sf, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hubeau_0.5.2-1.ca2004.1_all.deb
Size: 884104
MD5sum: 41df1ee2424d46c555f372bfcb046d32
SHA1: 0849fc0744bce03fa2534976e94992bad46840f6
SHA256: ca2ff650bd4505012e058d439311c75b3a694fd45e122461e7c5f7c29e4a329d
SHA512: bada99cf7fc1542f38463645aac5feb6bbd3852a4f135ee6e04c3664a8e195f247bc0208070510b0b8f60c05a3c773a6e95012e6dfd2dfcdd80bf6d0a36e75a8
Homepage: https://cran.r-project.org/package=hubeau
Description: CRAN Package 'hubeau' (Get Data from the French National Database on Water 'Hub'Eau')
 Collection of functions to help retrieving data from 'Hub'Eau' the free and
 public French National APIs on water <https://hubeau.eaufrance.fr/>.

Package: r-cran-hubensembles
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-distfromq, r-cran-dplyr, r-cran-hubutils, r-cran-lifecycle, r-cran-matrixstats, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-cowplot, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hubensembles_1.0.0-1.ca2004.1_all.deb
Size: 111956
MD5sum: ecd919fc12a2c7dba2a3e0eb3d972435
SHA1: 747a83781ff9545e141a129d29dbd3f1f96f4e86
SHA256: 1c2c690c2d98a4ec4171b0a8f73b8163d58549d70a6312501c3fc8ae6fb5e5fc
SHA512: 2628a36f2590da6023e26072ac25c9c517966023dcc9603b114082a00a0be046a47f326ad01fead3cff22a67e8b863fb3b0e65f18ba8ccd30ba44494f11010e4
Homepage: https://cran.r-project.org/package=hubEnsembles
Description: CRAN Package 'hubEnsembles' (Ensemble Methods for Combining Hub Model Outputs)
 Functions for combining model outputs (e.g. predictions or estimates) from
 multiple models into an aggregated ensemble model output.

Package: r-cran-hubutils
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-fs, r-cran-gh, r-cran-glue, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-memoise, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-arrow, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hubutils_0.1.7-1.ca2004.1_all.deb
Size: 128316
MD5sum: 36504d22edab15fe9fc1282e284197ad
SHA1: d83eb26dfb8c67002dd993d0d55f4fe2d66ced37
SHA256: 889a57ea1db9c455e355f379b5ef25eeb5d0edca91ea80527adae03cc38ee076
SHA512: a17960f064fa2e03b2ff24e19112b92158c0e13121b2a8a63b58fc9f350adc1cbb0ab2492e7ab50e32ae7ffe76231b8b6b356a51b4c58f34b46671cd1b8518c0
Homepage: https://cran.r-project.org/package=hubUtils
Description: CRAN Package 'hubUtils' (Core 'hubverse' Utilities)
 Core set of low-level utilities common across the 'hubverse'. Used to
 interact with 'hubverse' schema, Hub configuration files and model outputs
 and designed to be primarily used internally by other 'hubverse' packages.
 See Reich et al. (2022) <doi:10.2105/AJPH.2022.306831> for an overview of
 Collaborative Hubs.

Package: r-cran-hudr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-data.table, r-cran-janitor, r-cran-httr
Filename: pool/dists/focal/main/r-cran-hudr_1.2.0-1.ca2004.1_all.deb
Size: 50732
MD5sum: e5596197ceffac8b1ad806f4c9036d1e
SHA1: 8b78ef404715ede99f0e9ae4fac0729eda60a91c
SHA256: e589b409a4e22f815d6dce9641a4f45515407070b8da856d19dbf65c4fa53a77
SHA512: 64db9cf5c07aeda6f33c3849213f43102de2ad20f554edeea85047c49e443edf729e2b25a71a9d41b271cb922c63e98200e6f773c6772c98e462a6419afc0a31
Homepage: https://cran.r-project.org/package=hudr
Description: CRAN Package 'hudr' (Providing Data from the US Department of Housing and UrbanDevelopment)
 Provides functions to access data from the US Department of Housing and
 Urban Development <https://www.huduser.gov/portal/dataset/fmr-api.html>.

Package: r-cran-hues
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-hues_0.2.0-1.ca2004.1_all.deb
Size: 194992
MD5sum: 64913d0cc00a8662daf44dd3db7666d5
SHA1: 635b1d6a28df5fed44e4e44087788177e7fee1d5
SHA256: 8a7acfc1dc73ce78df843c7dc8327692d65fe6f50719f29f79ec15fbab071dad
SHA512: e2b6725928a4445c5aa0a0e241c7054e800c58b9fda2637499fe6a63e13ed455fd03203bb854f7bcb55dff5236eb534968f81b7d8e03f1e35d9c7082871d4c2c
Homepage: https://cran.r-project.org/package=hues
Description: CRAN Package 'hues' (Distinct Colour Palettes Based on 'iwanthue')
 Creating effective colour palettes for figures is challenging. This package
 generates and plot palettes of optimally distinct colours in perceptually
 uniform colour space, based on 'iwanthue'
 <http://tools.medialab.sciences-po.fr/iwanthue/>.  This is done through
 k-means clustering of CIE Lab colour space, according to user-selected
 constraints on hue, chroma, and lightness.

Package: r-cran-huito
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3956
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magick, r-cran-cowplot, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-purrr, r-cran-sysfonts, r-cran-showtext, r-cran-qrcode, r-cran-pdftools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-gsheet, r-cran-inti
Filename: pool/dists/focal/main/r-cran-huito_0.2.5-1.ca2004.1_all.deb
Size: 2593880
MD5sum: a0266908012ba1a4b31088c0c615e363
SHA1: 9aeda2f954602cd23616a96288de88f1a1569a6f
SHA256: 7b5e6bb3ff48c126f09c930880d96070a793969dc9d76d7d77da6cf95bb6f490
SHA512: b7ed9a94789d1afd8f6a5fbb46abdb3686d084a1f4d28aba983f09c8dd63cdcc990175b07bfea4dde4c7c03695ca15ef25d2213f026348271755592526fdfc44
Homepage: https://cran.r-project.org/package=huito
Description: CRAN Package 'huito' (Reproducible and Flexible Label Design)
 An open-source R package to deploys reproducible and flexible labels using
 layers.  The 'huito' package is part of the 'inkaverse' project for
 developing different procedures and tools used in plant science and
 experimental designs.  Learn more about the 'inkaverse' project at
 <https://inkaverse.com/>.

Package: r-cran-humanformat
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-humanformat_1.2-1.ca2004.1_all.deb
Size: 23008
MD5sum: be11d90e2dc83130c1daaacc11c26155
SHA1: eb228a2ec723b97ae5f304a304668fe63e9bdaba
SHA256: acbf33901e4002fc7c116e1571d6a34798e85d7263c205da1ba793eea129efed
SHA512: 8104bce0cf231d9a418b9fed1d6678bc75737cb27ef8f4e67da6040bb651ab774211bb69c00d9c707ff1fe4fcababa14e37fc67e86fa1418fc03dcdb31c38a09
Homepage: https://cran.r-project.org/package=humanFormat
Description: CRAN Package 'humanFormat' (Human-Friendly Formatting Functions)
 Format quantities of time or bytes into human-friendly strings.

Package: r-cran-humanize
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-assertthat, r-cran-glue
Suggests: r-cran-testthat, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-humanize_0.2.0-1.ca2004.1_all.deb
Size: 31332
MD5sum: cc3f1e2fe7134884a9500a255559c32d
SHA1: 4b0d307106eff46892cb758d1419860bf53fd8ef
SHA256: e4c2b9b1f070425b6692981393c50f044746dbcf8ca917c8e1856ffc22cb06b1
SHA512: a12336a7ecba8a989dc16b3fd8a3b9e173f50363870f8dd7e93dbaee7d1196c12bdaf53335072e54c804978f6118f8f2b0f19831b1df2835ebb21e5ab07e2a52
Homepage: https://cran.r-project.org/package=humanize
Description: CRAN Package 'humanize' (Create Values for Human Consumption)
 An almost direct port of the 'python' 'humanize' package
 <https://github.com/jmoiron/humanize>.  This package contains utilities to
 convert values into human readable forms.

Package: r-cran-humidity
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-humidity_0.1.5-1.ca2004.1_all.deb
Size: 318172
MD5sum: 18f6fd77a5b435ab667f78c05edc7687
SHA1: e6bd32a25bcb283e7a7830ccd9091e2de4fb9712
SHA256: 63a541d0154bdf7150f3a7139970fdda9f09df8721ea69da749f637a5d0a355f
SHA512: d844118ea9b67ac4ff6a18f18d12532a3954e2e72397d5ab181230925c857620f6339308e5aaf9ac89a8a4984690d741388a93923ba66678f1bd34e42571099d
Homepage: https://cran.r-project.org/package=humidity
Description: CRAN Package 'humidity' (Calculate Water Vapor Measures from Temperature and Dew Point)
 Vapor pressure, relative humidity, absolute humidity, specific humidity, and
 mixing ratio are commonly used water vapor measures in meteorology. This R
 package provides functions for calculating saturation vapor pressure (hPa),
 partial water vapor pressure (Pa), relative humidity (%), absolute humidity
 (kg/m^3), specific humidity (kg/kg), and mixing ratio (kg/kg) from
 temperature (K) and dew point (K). Conversion functions between humidity
 measures are also provided.

Package: r-cran-huraultmisc
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-rstan, r-cran-cowplot, r-cran-hmisc, r-cran-hdinterval, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-huraultmisc_1.1.1-1.ca2004.1_all.deb
Size: 197560
MD5sum: 22fb6b728b33d9ab51bb8c818a631a59
SHA1: 69b0ecd3b97db78a53a232b67f840d8feea31332
SHA256: 0249f670b4e7c2c6ae2be275b458620676ea5b9827ad4148baec21cf6db950cf
SHA512: 95460b1e64945e641ec88e76dc587eec435d98f7071fd51ebb589d94ceca3f59ab412431fd1adf69c933b2fdf66624d72c4a93dabf39854cda3d52d51edc65f7
Homepage: https://cran.r-project.org/package=HuraultMisc
Description: CRAN Package 'HuraultMisc' (Guillem Hurault Functions' Library)
 Contains various functions for data analysis, notably helpers and
 diagnostics for Bayesian modelling using Stan.

Package: r-cran-hurdlr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hurdlr_0.1-1.ca2004.1_all.deb
Size: 95080
MD5sum: 9f447cc80cf05628d56572803cf3946a
SHA1: 7289838a3a74439763e5f21240a16141e4ab3fd7
SHA256: ed01263ee11d33ec9a879915224c193ba31c63f06cbdd71c89f5fd1a3a9447c2
SHA512: a75c4bb8284000f3543491b7dd8b5e170883e1c494398227c91d11ef70a66f0c64a4a1021eac3f269f17d567f3f19df96aa32b430c15a9af6db6e9aa7c3b4eae
Homepage: https://cran.r-project.org/package=hurdlr
Description: CRAN Package 'hurdlr' (Zero-Inflated and Hurdle Modelling Using Bayesian Inference)
 When considering count data, it is often the case that many more zero counts
 than would be expected of some given distribution are observed. It is well
 established that data such as this can be reliably modelled using
 zero-inflated or hurdle distributions, both of which may be applied using
 the functions in this package. Bayesian analysis methods are used to best
 model problematic count data that cannot be fit to any typical distribution.
 The package functions are flexible and versatile, and can be applied to
 varying count distributions, parameter estimation with or without
 explanatory variable information, and are able to allow for multiple hurdles
 as it is also not uncommon that count data have an abundance of large-number
 observations which would be considered outliers of the typical distribution.
 In lieu of throwing out data or misspecifying the typical distribution,
 these extreme observations can be applied to a second, extreme distribution.
 With the given functions of this package, such a two-hurdle model may be
 easily specified in order to best manage data that is both zero-inflated and
 over-dispersed.

Package: r-cran-hurreconr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hurreconr_1.1-1.ca2004.1_all.deb
Size: 197644
MD5sum: 82409632b9400d0b011b2de02dbbf622
SHA1: 33415d1dac9e04f1715f7eb2372fed6fd3e013a6
SHA256: a38d24a67ddad71290a0643e9cab93f55d3b5d9e473d1e610314de40a6e248c5
SHA512: aa33d88932167b8fa6f3ac98b1ce11a5e7c246a1ce13ab76104701f215a8f589b8ba2b96bba809d06f106951cbdce27b083dcda8a10519acfc2eacf580fd66d4
Homepage: https://cran.r-project.org/package=HurreconR
Description: CRAN Package 'HurreconR' (Models Hurricane Wind Speed, Wind Direction, and Wind Damage)
 The HURRECON model estimates wind speed, wind direction, enhanced Fujita
 scale wind damage, and duration of EF0 to EF5 winds as a function of
 hurricane location and maximum sustained wind speed. Results may be
 generated for a single site or an entire region. Hurricane track and
 intensity data may be imported directly from the US National Hurricane
 Center's HURDAT2 database. For details on the original version of the model
 written in Borland Pascal, see: Boose, Chamberlin, and Foster (2001)
 <doi:10.1890/0012-9615(2001)071[0027:LARIOH]2.0.CO;2> and Boose, Serrano,
 and Foster (2004) <doi:10.1890/02-4057>.

Package: r-cran-hurricaneexposure
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2672
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggmap, r-cran-ggplot2, r-cran-lazyeval, r-cran-lubridate, r-cran-mapproj, r-cran-maps, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-weathermetrics
Filename: pool/dists/focal/main/r-cran-hurricaneexposure_0.1.1-1.ca2004.1_all.deb
Size: 1993948
MD5sum: 56ae5776be8cc7274a5a04cdb694bb37
SHA1: ea39460d3bd7c0ed3e11f6069fa2708541568eb8
SHA256: b3123ce2bc21cb1f1d4e8b9b7a7bc5fb0e52210f5c591ada3cd4ae296567208b
SHA512: cac65376adee85ba2e121653aafb284a0bf98458dfb8795978ed09b02b8abad860dfa3cd28bda6b135c23ddb4fc444474a824dbf1ef5fd28d28e4dcb84f6502f
Homepage: https://cran.r-project.org/package=hurricaneexposure
Description: CRAN Package 'hurricaneexposure' (Explore and Map County-Level Hurricane Exposure in the UnitedStates)
 Allows users to create time series of tropical storm exposure histories for
 chosen counties for a number of hazard metrics (wind, rain, distance from
 the storm, etc.). This package interacts with data available through the
 'hurricaneexposuredata' package, which is available in a 'drat' repository.
 To access this data package, see the instructions at
 <https://github.com/geanders/hurricaneexposure>.  The size of the
 'hurricaneexposuredata' package is approximately 20 MB. This work was
 supported in part by grants from the National Institute of Environmental
 Health Sciences (R00ES022631), the National Science Foundation (1331399),
 and a NASA Applied Sciences Program/Public Health Program Grant
 (NNX09AV81G).

Package: r-cran-hutils
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
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Suggests: r-cran-testthat, r-cran-desc, r-cran-dplyr, r-cran-digest, r-cran-fst, r-cran-hmisc, r-cran-hutilscpp, r-cran-microbenchmark, r-cran-knitr, r-cran-rmarkdown, r-cran-nycflights13, r-cran-geosphere, r-cran-ggplot2, r-cran-readr, r-cran-rcheology, r-cran-rstudioapi, r-cran-survey, r-cran-tibble, r-cran-tidyr, r-cran-withr
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Size: 273112
MD5sum: 11d1205bd176c033a3f348861bca2856
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SHA256: 13f9393b3b45170e9221362b8913bf4eceae99d959cf97d3b9eef38eca9cdd17
SHA512: 04b8a4ee7bb161c09cce159c3d8c8ceb94772884efff18a2bb052c2e2811a3aacfdea783546b185157f1a6b5d44c659178341738b7feae05d5392f6626391fdd
Homepage: https://cran.r-project.org/package=hutils
Description: CRAN Package 'hutils' (Miscellaneous R Functions and Aliases)
 Provides utility functions for, and drawing on, the 'data.table' package.
 The package also collates useful miscellaneous functions extending base R
 not available elsewhere. The name is a portmanteau of 'utils' and the
 author.

Package: r-cran-huxtable
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Priority: optional
Section: gnu-r
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Installed-Size: 3869
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Suggests: r-cran-aer, r-cran-bookdown, r-cran-broom, r-cran-broom.mixed, r-cran-covr, r-cran-crayon, r-cran-devtools, r-cran-dplyr, r-cran-flextable, r-cran-ftextra, r-cran-ggplot2, r-cran-httr, r-cran-knitr, r-cran-lme4, r-cran-lmtest, r-cran-nlme, r-cran-nnet, r-cran-officer, r-cran-openxlsx, r-cran-psych, r-cran-quarto, r-cran-r.rsp, r-cran-rmarkdown, r-cran-sandwich, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-tinytex
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Size: 1374004
MD5sum: 19ef01dbbace271b89c82fda7fff4913
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SHA256: d46a7a2b1946c819060812deb4c6b6da675e83250bdc3136c5e3d1b1ffcebb65
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Description: CRAN Package 'huxtable' (Easily Create and Style Tables for LaTeX, HTML and Other Formats)
 Creates styled tables for data presentation. Export to HTML, LaTeX, RTF,
 'Word', 'Excel', and 'PowerPoint'. Simple, modern interface to manipulate
 borders, size, position, captions, colours, text styles and number
 formatting.  Table cells can span multiple rows and/or columns.  Includes a
 'huxreg' function for creation of regression tables, and 'quick_*'
 one-liners to print data to a new document.

Package: r-cran-hvt
Architecture: all
Version: 25.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 839
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-splancs, r-cran-dplyr, r-cran-nbclust, r-cran-purrr, r-cran-magrittr, r-cran-ggplot2, r-cran-tidyr, r-cran-scales, r-cran-cluster, r-cran-reshape2, r-cran-fnn, r-cran-rtsne, r-cran-umap, r-cran-plyr, r-cran-gganimate, r-cran-markovchain, r-cran-deldir, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-geozoo, r-cran-plotly, r-cran-rlang, r-cran-dt, r-cran-patchwork, r-cran-sp, r-cran-hmisc, r-cran-data.table, r-cran-gtable, r-cran-htmlwidgets, r-cran-installr, r-cran-skimr, r-cran-tibble, r-cran-devtools, r-cran-gifski, r-cran-tidyverse, r-cran-dataexplorer, r-cran-htmltools, r-cran-corrplot, r-cran-kableextra, r-cran-polyclip, r-cran-conf.design
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Size: 698784
MD5sum: 35cfdeccedc956d786b80f76ac7f18ab
SHA1: 075907a4a78986a87186879958dc7b784954d4fa
SHA256: 24491b51f9c3eadfb85b75bb3aa3c394a78f27cbb858a438c443378da5cbdb43
SHA512: 365ed57091fcc7f4e5ff725ee16d6ee6beab9a36b7166d3a971a85741ce6c9445de353834137af9c052f20580a1cdb2ab47427e88942420108f48d243c76f5bb
Homepage: https://cran.r-project.org/package=HVT
Description: CRAN Package 'HVT' (Constructing Hierarchical Voronoi Tessellations and OverlayHeatmaps for Data Analysis)
 Facilitates building topology preserving maps for data analysis.

Package: r-cran-hw.pval
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hw.pval_1.0-1.ca2004.1_all.deb
Size: 36032
MD5sum: a96bde436c2951c116e66792f20f2722
SHA1: 20bd4a616534a3ddaebd9d8293907cadd26fb9c6
SHA256: 3d2e71e16cc18ee9a706ee1512820541451d3d046f651badac0b76282775fdec
SHA512: 0f13f6984d12cbcb1e6354b4ee8cd5e7f5e5f5add695cfe72a77b34978aba82e744319fe2305f9fb437b7abe50d764b76d26205c4d48bbbd03566dd3a6e26e97
Homepage: https://cran.r-project.org/package=HW.pval
Description: CRAN Package 'HW.pval' (Testing Hardy-Weinberg Equilibrium for Multiallelic Genes)
 HW.pval calculates plain and fully conditional root-mean-square, chi-square,
 and log likelihood-ratio P-values for the user-provided genotypic counts to
 be consistent with the Hardy-Weinberg equilibrium model.  For further
 information on the Hardy-Weinberg equilibrium model and the pseudocode,
 refer to the paper "Testing Hardy-Weinberg equilibrium with a simple
 root-mean-square statistic" by Rachel Ward.

Package: r-cran-hwde
Architecture: all
Version: 0.67-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hwde_0.67-3-1.ca2004.1_all.deb
Size: 327508
MD5sum: 105d60410cdf56848d74c988d0b417b8
SHA1: 6d95e1e9dc28bd2aa3919d9f373496df4bc0b76c
SHA256: 48df7b77c45c7437061921b670b382220a09592b0f654bfacdaccadc9f0edff4
SHA512: 9a89c7556a2af780419ab7cd297aa7a7eb74b6d1ae3280e5bc4916eeb49fd48c50283cfe0f9ebde1791e6ec803108b716375de90e6270cdac90d8aa2c73e273d
Homepage: https://cran.r-project.org/package=hwde
Description: CRAN Package 'hwde' (Models and Tests for Departure from Hardy-Weinberg Equilibriumand Independence Between Loci)
 Fits models for genotypic disequilibria, as described in Huttley and Wilson
 (2000) <doi:10.1093/genetics/156.4.2127>, Weir (1996) and Weir and Wilson
 (1986).  Contrast terms are available that account for first order
 interactions between loci.  Also implements, for a single locus in a single
 population, a conditional exact test for Hardy-Weinberg equilibrium.

Package: r-cran-hwebayes
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-hwebayes_1.4-1.ca2004.1_all.deb
Size: 286848
MD5sum: a6a7f361a88e84e8aa1f0a0a8161cb75
SHA1: 322e2418a6c335b376d9309e5f39eefb36c8a04d
SHA256: cb93b6604148dd129feda50dcc703fbde44e810e2bd346f8d3f04b80372fa466
SHA512: b5d9414c501d2f82d57544ebe2411199502c391f8ced729c74859a14edd0872d7935f7c045c93aa9dcdaeec2b2a365ada103edcbc843f21662ee4ceaa91d658b
Homepage: https://cran.r-project.org/package=HWEBayes
Description: CRAN Package 'HWEBayes' (Bayesian investigation of Hardy-Weinberg Equilibrium viaestimation and testing)
 Estimation and testing of HWE using Bayesian methods.  Three models are
 currently considered: HWE, a model parameterized in terms of the allele
 frequencies and a single inbreeding coefficient f, and the saturated model.
 Testing is based on Bayes factors.

Package: r-cran-hweintrinsic
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hweintrinsic_1.2.3-1.ca2004.1_all.deb
Size: 198524
MD5sum: d4ce31dbbfd671de9ed94ac3a787568a
SHA1: d78e9dfe7f9b2a8ef1ce979a054e9e9e86ee85d1
SHA256: 6570ac8fb595f24458a07e46d14a61ff0e64d8eb6c38f069864fe1f2605b0d35
SHA512: 6fe0d9ec09ef842a228ae06c6a245d64b46618da8834d2f262d3eeb0afbc886300e9c8d4c31c9c5331a533a5b727cd971b19485441ba49910c49fa911490dab9
Homepage: https://cran.r-project.org/package=HWEintrinsic
Description: CRAN Package 'HWEintrinsic' (Objective Bayesian Testing for the Hardy-Weinberg EquilibriumProblem)
 General (multi-allelic) Hardy-Weinberg equilibrium problem from an objective
 Bayesian testing standpoint. This aim is achieved through the identification
 of a class of priors specifically designed for this testing problem. A class
 of intrinsic priors under the full model is considered. This class is
 indexed by a tuning quantity, the training sample size, as discussed in
 Consonni, Moreno and Venturini (2010). These priors are objective, satisfy
 Savage's continuity condition and have proved to behave extremely well for
 many statistical testing problems.

Package: r-cran-hwig
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-asnipe, r-cran-spatsoc, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hwig_0.0.2-1.ca2004.1_all.deb
Size: 30772
MD5sum: 976e64be448120837ad3017862a18926
SHA1: 31427530b5709e8b7b919194e1615c1f7dc3f800
SHA256: 82c6b7a45c4c81ef72a5471210c54498aca760cf1bf0de42122a8a87dec227be
SHA512: 9d3f9b0768f93910744d04c57762ad48f6cd6860bd6241edcee81b51761cbf52c0929b9e76ed456cb61208a82f93deab8eaeab8ce5ca7aa91959a2c99c441083
Homepage: https://cran.r-project.org/package=hwig
Description: CRAN Package 'hwig' (Half-Weight Index Gregariousness)
 The half-weight index gregariousness (HWIG) is an association index used in
 social network analyses. It extends the half-weight association index (HWI),
 correcting for level of gregariousness in individuals. It is calculated
 using group by individual data according to methods described in Godde et
 al. (2013) <doi:10.1016/j.anbehav.2012.12.010>.

Package: r-cran-hwordcloud
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 783
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-wordcloud2, r-cran-shiny, r-cran-colourpicker
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hwordcloud_0.1.0-1.ca2004.1_all.deb
Size: 111660
MD5sum: 355f68e77e8968212e3e7d3c3fcfab20
SHA1: 6b4af3d32edef7842792e98d20709029ab8e25db
SHA256: cf323b710b35aebf57fc28aff917c144ccb1eb1b50903b0e2f96b6dbfac93e0e
SHA512: 6fddb099f6f3f53ba58bf7f9539553989b9b2a91636f64aa5d4d701c8c8e060c55220b9a441d29c1f958cdcf977079054489545b94c1776e5b73de5ffd1a6ecd
Homepage: https://cran.r-project.org/package=hwordcloud
Description: CRAN Package 'hwordcloud' (Rendering Word Clouds)
 Provides a way to display word clouds in R. The word cloud is a html widget,
 so you can use it in interactive documents and 'shiny' applications.

Package: r-cran-hwriter
Architecture: all
Version: 1.3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hwriter_1.3.2.1-1.ca2004.1_all.deb
Size: 107236
MD5sum: a35ddc71b1a0e9e964462b64b708260b
SHA1: 0bb0c86aa4a39ad2509a6481da4952b5021da16b
SHA256: 763ab05fd7ce354354e90186685568a73112361fc7f488accdbf936ace2b5aef
SHA512: 6aaa2f1a51be892e9bc33fe471c07559a0b570fe6187ce6fa53e863ced0faae06913701a107e738fecbf0bcc832eabe4063ba61c5ffdcf1314f6cc6dbacb2d9c
Homepage: https://cran.r-project.org/package=hwriter
Description: CRAN Package 'hwriter' (HTML Writer - Outputs R Objects in HTML Format)
 Easy-to-use and versatile functions to output R objects in HTML format.

Package: r-cran-hwsdr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-httr, r-cran-dplyr
Suggests: r-cran-ncdf4, r-cran-knitr, r-cran-markdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hwsdr_1.2-1.ca2004.1_all.deb
Size: 1311348
MD5sum: f6dc21867a008151735ec59a3e36ce78
SHA1: ebee77f165f264f9add56a5d2f7b091db4169f16
SHA256: 362da4e8e94b152ad6cfc69ca0d2f06eb41255db7e413fb9bfeb6cb28d4e0818
SHA512: b2716ea5ce1fd709a56ff12ace3f2caf2f6481b9bc01dfe4f50cee4d91f3517f1e99d73757834ce2f71995d856e63fd42e64c0fe5e0f83f47c82cf349820e4ff
Homepage: https://cran.r-project.org/package=hwsdr
Description: CRAN Package 'hwsdr' (Interface to the 'HWSD' Web Services)
 Programmatic interface to the Harmonized World Soil Database 'HWSD' web
 services (<https://daac.ornl.gov/cgi-bin/dsviewer.pl?ds_id=1247>).  Allows
 for easy downloads of 'HWSD' soil data directly to your R workspace or your
 computer. Routines for both single pixel data downloads and gridded data are
 provided.

Package: r-cran-hwwntest
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-polynom, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-hwwntest_1.3.2-1.ca2004.1_all.deb
Size: 127712
MD5sum: 4c7672c8d888851f563457b73a923647
SHA1: def641d9357510f693487472fe6f4d6e80a86d6c
SHA256: a54565dc024ee3229faaf892b7e31c39e70bdeeb79abaa0c46121b00f9bf2c05
SHA512: 915ebe950f5dcd38e9e694550e952d8ea78cb9e75e26d289c2a78e68477a0e73abf38ca59ccdf0494195ed49f870bffd44d51af190c4cf922f1c9913fff31df5
Homepage: https://cran.r-project.org/package=hwwntest
Description: CRAN Package 'hwwntest' (Tests of White Noise using Wavelets)
 Provides methods to test whether time series is consistent with white noise.
 Two new tests based on Haar wavelets and general wavelets described by Nason
 and Savchev (2014) <doi:10.1002/sta4.69> are provided and, for comparison
 purposes this package also implements the B test of Bartlett (1967)
 <doi:10.2307/2333850>. Functionality is provided to compute an approximation
 to the theoretical power of the general wavelet test in the case of general
 ARMA alternatives.

Package: r-cran-hybriddesign
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-testit, r-cran-resourceselection
Filename: pool/dists/focal/main/r-cran-hybriddesign_1.0-1.ca2004.1_all.deb
Size: 42412
MD5sum: 5d1200b987787a40226f8f8bb796e4ef
SHA1: 0bd8e6384301fcb3008e12d5928bcd879513c9ae
SHA256: a8eb066cc4554b5934da1632726304cf356cd67aeec80f98e1f9f510903ea802
SHA512: 90f0b42267ab35b39653cbca77bd00a017ef34904495aa3a416c13ba8de04246757bbe68b30f5bcec0d07946c695b2eed806fa66299869acdbc4349df65aa4f1
Homepage: https://cran.r-project.org/package=HybridDesign
Description: CRAN Package 'HybridDesign' (Hybrid Design for Phase I Dose-Finding Studies)
 The Hybrid design is a combination of model-assisted design (e.g., the
 modified Toxicity Probability Interval design) with dose-toxicity
 model-based design for phase I dose-finding studies. The hybrid design
 controls the overdosing toxicity well and leads to a recommended dose closer
 to the true maximum tolerated dose (MTD) due to its ability to calibrate for
 an intermediate dose. More details can be found in Liao et al. 2022
 <doi:10.1002/ijc.34203>.

Package: r-cran-hybridensemble
Architecture: all
Version: 1.7.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-randomforest, r-cran-kernelfactory, r-cran-ada, r-cran-rpart, r-cran-rocr, r-cran-nnet, r-cran-e1071, r-cran-nmof, r-cran-gensa, r-cran-rmalschains, r-cran-pso, r-cran-auc, r-cran-soma, r-cran-genalg, r-cran-reportr, r-cran-nnls, r-cran-quadprog, r-cran-tabusearch, r-cran-rotationforest, r-cran-fnn, r-cran-glmnet, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hybridensemble_1.7.9-1.ca2004.1_all.deb
Size: 171112
MD5sum: 52a62d9aa5cf5c8dda20c96f93f9979e
SHA1: 7277a208f997dbbf48fd9b327507eab4dd13ab9d
SHA256: 287da16a2a87396c9f779c12b20425178949be3b5b5ab65e901bae2b6ab9eb3d
SHA512: d06b5d90728e247e0acd0ccd5c95951700ef5aa903770aea0c8357fe8f7a4ea96b7aa46a012f26be9ad34f7072de733403bd0901bf2fbe2292fbe556a2e959fb
Homepage: https://cran.r-project.org/package=hybridEnsemble
Description: CRAN Package 'hybridEnsemble' (Build, Deploy and Evaluate Hybrid Ensembles)
 Functions to build and deploy a hybrid ensemble consisting of different
 sub-ensembles such as bagged logistic regressions, random forest, stochastic
 boosting, kernel factory, bagged neural networks, bagged support vector
 machines, rotation forest, bagged k-nearest neighbors, and bagged naive
 Bayes. Functions to cross-validate the hybrid ensemble and plot and
 summarize the results are also provided. There is also a function to assess
 the importance of the predictors.

Package: r-cran-hybridmicrobiomes
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgl, r-cran-compositions, r-cran-rlang, r-cran-permanova, r-cran-vegan, r-cran-ks, r-cran-ape, r-cran-geometry, r-cran-stereomorph, r-bioc-phyloseq
Filename: pool/dists/focal/main/r-cran-hybridmicrobiomes_0.1.1-1.ca2004.1_all.deb
Size: 123540
MD5sum: 366f640c565ab02d3226da82df0c4a45
SHA1: 6118b72e142c1939823bb5dc8dc37e836d34d935
SHA256: f6667bb81b440173b79c3e05d57778cd92a6ef34e28110daf41918ae12708a3c
SHA512: 93640bae558c8d88d38cb056b2bb3a237a89364c22f69550a37032952a3760ab0b124500a5f383f23c338461b50ab0a9fb874de823037ae15e52a2b46c9b6ae6
Homepage: https://cran.r-project.org/package=HybridMicrobiomes
Description: CRAN Package 'HybridMicrobiomes' (Analysis of Host-Associated Microbiomes from Hybrid Organisms)
 A set of tools to analyze and visualize the relationships between
 host-associated microbiomes of hybrid organisms and those of their
 progenitor species. Though not necessary, installing the microViz package is
 recommended as a check for phyloseq objects. To install microViz from R
 Universe use the following command: install.packages("microViz", repos =
 c(davidbarnett = "https://david-barnett.r-universe.dev",
 getOption("repos"))). To install microViz from GitHub use the following
 commands: install.packages("devtools") followed by
 devtools::install_github("david-barnett/microViz").

Package: r-cran-hybridmodels
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-ggplot2, r-cran-gillespiessa, r-cran-reshape2, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-hybridmodels_0.3.8-1.ca2004.1_all.deb
Size: 140488
MD5sum: c59517e15e8233e2e002df25b51ea380
SHA1: 17842ffd5c8b2375466d389321bdfe5ffc9e103c
SHA256: 19b7f78dad780ab76b3b024b74813929d35e962095de53840aeeb638aa826edb
SHA512: 1061f77b273c1be92934e9c4d3e557c4373914d55a57a12d101792627b0b0ed137c02684b6f8770bc012caaa76e77b296d1b1552bfd590bd05d55c53bc14bbb3
Homepage: https://cran.r-project.org/package=hybridModels
Description: CRAN Package 'hybridModels' (An R Package for the Stochastic Simulation of Disease Spreadingin Dynamic Networks)
 Simulates stochastic hybrid models for transmission of infectious diseases
 in dynamic networks. It is a metapopulation model in which each node in the
 network is a sub-population and disease spreads within nodes and among them,
 combining two approaches: stochastic simulation algorithm
 (<doi:10.1146/annurev.physchem.58.032806.104637>) and individual-based
 approach, respectively. Equations that models spread within nodes are
 customizable and there are two link types among nodes: migration and
 influence (commuting). More information in Fernando S. Marques, Jose H. H.
 Grisi-Filho, Marcos Amaku et al. (2020) <doi:10.18637/jss.v094.i06>.

Package: r-cran-hybridogram
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pheatmap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hybridogram_0.3.2-1.ca2004.1_all.deb
Size: 16772
MD5sum: 2432bfaae0bfbbee0547815c96735685
SHA1: 094ac3d74d40f4bc702ad35292524baa54c1c430
SHA256: 9adc2edcfcc7f6cba4fc2184da03546e6c617624c649cfedfc6ea8e024cc4c17
SHA512: c6efdec684fa9bfceaca8dee029de8b82462bccec4dc917e3990d7d45aea304dc38b2d1d7853269df6fcf337c3a935d5d06db89b1f19e8986e2e4a886c53f460
Homepage: https://cran.r-project.org/package=hybridogram
Description: CRAN Package 'hybridogram' (Function that Creates a Heat Map from Hybridization Data)
 Using hybrid data, this package created a vividly colored hybrid heat map.
 The input is two files which are auto-selected.  The first file has three
 columns, the first two for pairs of species, with the third column for the
 hybrid experiment code (an integer).  The second file is a list of code and
 their descriptions in two columns. The output is a figure showing the hybrid
 heat map with a color legend.

Package: r-cran-hybridts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-nnfor, r-cran-waveletarima, r-cran-metrics
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-hybridts_0.1.0-1.ca2004.1_all.deb
Size: 49952
MD5sum: 20486468cb266ef2d2de246374a77828
SHA1: 2b8d2b57d6c9931dd45a49dc95437fdc51b767b8
SHA256: ce969a80976f59be013767274e6ae804662d7cdbfa7e04121a26a195df160918
SHA512: d90386728ed44bde2bcceb9139adc51108712bc1c6a5f9d38a140a5396e1fe52db2b2214f2f7fa34599198c7c4da4975afe5f54f8bfb0914e05895bec3e24d0c
Homepage: https://cran.r-project.org/package=hybridts
Description: CRAN Package 'hybridts' (Hybrid Time Series Forecasting Using Error Remodeling Approach)
 Method and tool for generating hybrid time series forecasts using an error
 remodeling approach. These forecasting approaches utilize a recursive
 technique for modeling the linearity of the series using a linear method
 (e.g., ARIMA, Theta, etc.) and then models (forecasts) the residuals of the
 linear forecaster using non-linear neural networks (e.g., ANN, ARNN, etc.).
 The hybrid architectures comprise three steps: firstly, the linear patterns
 of the series are forecasted which are followed by an error re-modeling
 step, and finally, the forecasts from both the steps are combined to produce
 the final output. This method additionally provides the confidence intervals
 as needed. Ten different models can be implemented using this package.  This
 package generates different types of hybrid error correction models for time
 series forecasting based on the algorithms by Zhang. (2003), Chakraborty et
 al. (2019), Chakraborty et al. (2020), Bhattacharyya et al. (2021),
 Chakraborty et al. (2022), and Bhattacharyya et al. (2022)
 <doi:10.1016/S0925-2312(01)00702-0> <doi:10.1016/j.physa.2019.121266>
 <doi:10.1016/j.chaos.2020.109850> <doi:10.1109/IJCNN52387.2021.9533747>
 <doi:10.1007/978-3-030-72834-2_29> <doi:10.1007/s11071-021-07099-3>.

Package: r-cran-hyd1d
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-httr2, r-cran-curl
Suggests: r-cran-dbi, r-cran-rpostgresql, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-devtools, r-cran-pkgdown, r-cran-roxygen2, r-cran-revealjs, r-cran-shiny, r-cran-shiny.i18n, r-cran-shinytime, r-cran-lubridate, r-cran-usethis, r-cran-yaml, r-cran-desc
Filename: pool/dists/focal/main/r-cran-hyd1d_0.5.3-1.ca2004.1_all.deb
Size: 1758480
MD5sum: 0df0c3ab22c97956ad77640ceb2154f0
SHA1: 5581d64d2cdff3bf9ecd5b11970dce4c0e834b33
SHA256: 1527be5fa84268ec7a038ff52219fa1fbd95af1badfdf55ff2baa45b079da52b
SHA512: f6d6e3323b6be94fe7149ead4e4bdbca3c875116a22692f63a8f39ad0763b221a42efe314f04705390a577ec85413a74184e0e22e9c5184a0da21b0e47358ec9
Homepage: https://cran.r-project.org/package=hyd1d
Description: CRAN Package 'hyd1d' (1d Water Level Interpolation along the Rivers Elbe and Rhine)
 An S4 class and several functions which utilize internally stored datasets
 and gauging data enable 1d water level interpolation. The S4 class
 (WaterLevelDataFrame) structures the computation and visualisation of 1d
 water level information along the German federal waterways Elbe and Rhine.
 'hyd1d' delivers 1d water level data - extracted from the 'FLYS' database -
 and validated gauging data - extracted from the hydrological database
 'WISKI7' - package-internally. For computations near real time gauging data
 are queried externally from the 'PEGELONLINE REST API'
 <https://pegelonline.wsv.de/webservice/dokuRestapi>.

Package: r-cran-hydenet
Architecture: all
Version: 0.10.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-checkmate, r-cran-diagrammer, r-cran-plyr, r-cran-dplyr, r-bioc-graph, r-cran-magrittr, r-cran-pixiedust, r-cran-rjags, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rcurl, r-cran-rmarkdown, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hydenet_0.10.11-1.ca2004.1_all.deb
Size: 1687176
MD5sum: 57a27d35823259d68c517b44ea1427a2
SHA1: 100810e2ff6cd2bfafc5f338fd0eb1cf94eba005
SHA256: 6efbd589e8a7c3c1e4ef4b27ca3520cd056388762ab72381e66956ee6854b49e
SHA512: c446eab35ef587fd38a2e9848e94d9b5f7a1f7d3b24e3fb29f18c425efa6fb5ce9451ad51319c09352d7dba4a967de637681d9a02aa0a3b1b35619a83cf17742
Homepage: https://cran.r-project.org/package=HydeNet
Description: CRAN Package 'HydeNet' (Hybrid Bayesian Networks Using R and JAGS)
 Facilities for easy implementation of hybrid Bayesian networks using R.
 Bayesian networks are directed acyclic graphs representing joint probability
 distributions, where each node represents a random variable and each edge
 represents conditionality. The full joint distribution is therefore
 factorized as a product of conditional densities, where each node is assumed
 to be independent of its non-descendents given information on its parent
 nodes.  Since exact, closed-form algorithms are computationally burdensome
 for inference within hybrid networks that contain a combination of
 continuous and discrete nodes, particle-based approximation techniques like
 Markov Chain Monte Carlo are popular. We provide a user-friendly interface
 to constructing these networks and running inference using the 'rjags'
 package. Econometric analyses (maximum expected utility under competing
 policies, value of information) involving decision and utility nodes are
 also supported.

Package: r-cran-hydflood
Architecture: all
Version: 0.5.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-raster, r-cran-hyd1d, r-cran-rdpack, r-cran-httr2, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-pkgdown, r-cran-roxygen2, r-cran-testthat, r-cran-plot3d, r-cran-shiny, r-cran-shinyjs, r-cran-shiny.i18n, r-cran-leaflet, r-cran-leaflet.extras, r-cran-leaflet.esri, r-cran-pangaear, r-cran-rgrass, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-hydflood_0.5.10-1.ca2004.1_all.deb
Size: 1833112
MD5sum: fcea491d38afc5180f225d2664bcfd31
SHA1: ad1f43ce6bdffbb3fec9ea95096b752636f06a8f
SHA256: f3f011c6e6548f032c042a1db630668ee68e1ca1b63b4950cca18c9e5778eb55
SHA512: 21ef8c298a05ff888be8ac3c48d8c9e7572ceff74b95e49d388647bb08157d74285c2e5c276183467fa9407435c83a45fd6c2c29a17e9254059e84a02ea61143
Homepage: https://cran.r-project.org/package=hydflood
Description: CRAN Package 'hydflood' (Flood Extents and Duration along the Rivers Elbe and Rhine)
 Raster based flood modelling internally using 'hyd1d', an R package to
 interpolate 1d water level and gauging data. The package computes flood
 extent and duration through strategies originally developed for 'INFORM', an
 'ArcGIS'-based hydro-ecological modelling framework. It does not provide a
 full, physical hydraulic modelling algorithm, but a simplified, near real
 time 'GIS' approach for flood extent and duration modelling. Computationally
 demanding annual flood durations have been computed already and data
 products were published by Weber (2022) <doi:10.1594/PANGAEA.948042>.

Package: r-cran-hydra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-igraph, r-cran-igraphdata, r-cran-matrix, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-hydra_0.1.0-1.ca2004.1_all.deb
Size: 48464
MD5sum: d467ecda0a27de15da413bcd12217dd1
SHA1: 0c03dbecd76ef173eaf3f75d66a522be0d5b527d
SHA256: f58a85110048a5633f74876db10c3ad16c7cc712c1d4d2d13d13616b8e184881
SHA512: 0476d1b6130aecb8334548798b67be6206cf45c999fbe44bcf5f0519d7cf861bfdfeec4ae67cec53ee8514942d05c55d632b260ab7fa57190bf576311a261dc4
Homepage: https://cran.r-project.org/package=hydra
Description: CRAN Package 'hydra' (Hyperbolic Embedding)
 Calculate an optimal embedding of a set of data points into low-dimensional
 hyperbolic space. This uses the strain-minimizing hyperbolic embedding of
 Keller-Ressel and Nargang (2019), see <arXiv:1903.08977>.

Package: r-cran-hydraulics
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gtools, r-cran-pracma, r-cran-purrr, r-cran-reshape2, r-cran-tibble, r-cran-units
Suggests: r-cran-formatdown, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hydraulics_0.7.1-1.ca2004.1_all.deb
Size: 823328
MD5sum: 300e9df018c69d4fbd64caf610999912
SHA1: 5c93298c7b487fd2cf102f77695f9dbddcf1782a
SHA256: 96c7b0212a4df8c12168168522057bd4311abe2d5c247c33b10f90bbe18d2636
SHA512: acc17c09f492da7c2f37a8d961c6ed4af6edb6dc2c6dd835ee5333651c55a443a3e4ba65ddb7968065aafb94aa95a46d57cccdb8db2792e753f1ab1f04f03996
Homepage: https://cran.r-project.org/package=hydraulics
Description: CRAN Package 'hydraulics' (Basic Pipe and Open Channel Hydraulics)
 Functions for basic hydraulic calculations related to water flow in circular
 pipes both flowing full (under pressure), and partially full (gravity flow),
 and trapezoidal open channels. For pressure flow this includes friction loss
 calculations by solving the Darcy-Weisbach equation for head loss, flow or
 diameter, plotting a Moody diagram, matching a pump characteristic curve to
 a system curve, and solving for flows in a pipe network using the
 Hardy-Cross method.  The Darcy-Weisbach friction factor is calculated using
 the Colebrook (or Colebrook-White equation), the basis of the Moody diagram,
 the original citation being Colebrook (1939) <doi:10.1680/ijoti.1939.13150>.
 For gravity flow, the Manning equation is used, again solving for missing
 parameters.  The derivation of and solutions using the Darcy-Weisbach
 equation and the Manning equation are outlined in many fluid mechanics texts
 such as Finnemore and Maurer (2024, ISBN:978-1-264-78729-6). Some gradually-
 and rapidly-varied flow functions are included. For the Manning equation
 solutions, this package uses modifications of original code from the
 'iemisc' package by Irucka Embry.

Package: r-cran-hydreng
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hydreng_0.1.0-1.ca2004.1_all.deb
Size: 180656
MD5sum: 80650cbe5b1d578591c7319f27ee11ae
SHA1: 80081ee3970cb883763bcb9ecf26ae105b23696d
SHA256: c22de1558305d70401c32bbc62f646fddde02dcf5249a236b8c14f92a6bd0dde
SHA512: f556a4b42d8c953bb751d99379ddc2cacf6b05a1b4924e0401f88d5d3c25adb511a81ea4f4e7a016f09012c3799a3023f60ef7c30aa265f7c50a27ea044ad383
Homepage: https://cran.r-project.org/package=hydReng
Description: CRAN Package 'hydReng' (Hydraulic Engineering Tools)
 The 'hydReng' package provides a set of functions for hydraulic engineering
 tasks and natural hazard assessments. It includes basic hydraulics (wetted
 area, wetted perimeter, flow, flow velocity, flow depth, and maximum flow)
 for open channels with arbitrary geometry under uniform flow conditions. For
 structures such as circular pipes, weirs, and gates, the package includes
 calculations for pressure flow, backwater depth, and overflow over a weir
 crest. Additionally, it provides formulas for calculating bedload transport.
 The formulas used can be found in standard literature on hydraulics, such as
 Bollrich (2019, ISBN:978-3-410-29169-5) or Hager (2011,
 ISBN:978-3-642-77430-0).

Package: r-cran-hydroapps
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nsrfa
Filename: pool/dists/focal/main/r-cran-hydroapps_0.1-1-1.ca2004.1_all.deb
Size: 88452
MD5sum: 029ba8af20bbffe3b40ce42880b85377
SHA1: 0d1a1d20b5da24fe143f1cfb39744d6325490dc2
SHA256: ee2c69b1f444de7a41ed9057a06eca7ae7710b1def33ccf54a327091d8fc7571
SHA512: 948dcb596fd87b63551f74a352cd0f2efc8d5d40e51e398aec0e8cabe50551999dd4038c0a17e8084c4cf362b4a53383832ad79087bc16078aece7771af3a53c
Homepage: https://cran.r-project.org/package=hydroApps
Description: CRAN Package 'hydroApps' (Tools and models for hydrological applications)
 Package providing tools for hydrological applications and models developed
 for regional analysis in Northwestern Italy.

Package: r-cran-hydrocal
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hydrocal_1.0.0-1.ca2004.1_all.deb
Size: 63080
MD5sum: 66e1662e02e29fbb2730771c9c772d77
SHA1: d58ec827b8bf56f08785ed2aa07e789aed12e16b
SHA256: 2a29bbea0be59e2e51612653b8d0903d4a2d35543446c8c4b1ecaaf225ce4810
SHA512: 560212d6f62ab3cff02b04e1bddff8e9748c01d2165aa05dca3b9710c1c3c91a808eb3557c3b6928fbed164402d7f59e96b85973b991a066f54b028a9a9b9fd6
Homepage: https://cran.r-project.org/package=HYDROCAL
Description: CRAN Package 'HYDROCAL' (Hydraulic Roughness Calculator)
 Estimates frictional constants for hydraulic analysis of rivers. This
 HYDRaulic ROughness CALculator (HYDROCAL) was previously developed as a
 spreadsheet tool and accompanying documentation by McKay and Fischenich
 (2011,
 <https://erdc-library.erdc.dren.mil/jspui/bitstream/11681/2034/1/CHETN-VII-11.pdf>).

Package: r-cran-hydrocode
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4956
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-hydrocode_1.0.3-1.ca2004.1_all.deb
Size: 5028656
MD5sum: 5308e1453f3594c69e4d333284797ac9
SHA1: 59c6c5feee5717c20648d2b3f92748fa922a516d
SHA256: 5a46e35002312496469ac958809aaf29278e71fc8e3ad96ca6bef005d0a80502
SHA512: a855bd132385e3009a6ac29daa537b9aeaf14eb1103f5f8eb5712cd6cfb8765d14c2c5ba1cafe3e5cbbac0ef067f25930b66c77638b6994ce65237a943fc7b21
Homepage: https://cran.r-project.org/package=HydroCode
Description: CRAN Package 'HydroCode' (Hydrological Codes)
 Pfafstetter Hydrological Codes as cited in Verdin and Verdin (1999) <doi:
 10.1016/S0022-1694(99)00011-6> are decoded for upstream or downstream
 queries.

Package: r-cran-hydrodcindex
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hydrodcindex_1.0.0-1.ca2004.1_all.deb
Size: 143404
MD5sum: 5ebbd019b8380a8bccef6aae591b9b44
SHA1: 59958f79208c1e284500958448312790d4c41c65
SHA256: 1df6574792edee07d048b6da0af063a53f670eb2d04c1c566da63ece6fb3b041
SHA512: 6eed6e01da2af7ba0dcb791449b5ad3d15eef020a8baf9f54839c6776f339d7dc157cdd3a88796db5af268bc9afc10e6f901c7d95eb8e497b263ff050816d015
Homepage: https://cran.r-project.org/package=hydroDCindex
Description: CRAN Package 'hydroDCindex' (Duration Curve Hydrological Model Indexes)
 Compute duration curves of daily flow series, both real and modeled, to be
 compared through indexes of flow duration curves. The package functions
 include comparative plots and goodness of fit tests. Flow duration curve
 indexes are based on: Yilmaz et al., (2008) <DOI:10.1029/2007WR006716>.

Package: r-cran-hydroevents
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3075
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hydroevents_0.12.0-1.ca2004.1_all.deb
Size: 2948684
MD5sum: 8e63bf5d793022296846a2229cf8b9c5
SHA1: 31af61b9c1cca6d1945d7c033acfff3ef73b94d4
SHA256: 850ead07349caea5ac7b3721be789792d4aef47f6e263b17d38252988e1cad6a
SHA512: b80790d8f24b1b57764ec047271d4a925bda06032fc83498e96a615e8147cb0dd3633addfb7202f80be48e2fa9c5ef445ad5d5808c0c2db1016d4780e80c4389
Homepage: https://cran.r-project.org/package=hydroEvents
Description: CRAN Package 'hydroEvents' (Extract Event Statistics in Hydrologic Time Series)
 Events from individual hydrologic time series are extracted, and events from
 multiple time series can be matched to each other.  Tang, W. & Carey, S. K.
 (2017) <doi:10.1002/hyp.11185>.  Kaur, S., Horne, A., Stewardson, M.J.,
 Nathan, R., Costa, A.M., Szemis, J.M., & Webb, J.A. (2017)
 <doi:10.1080/24705357.2016.1276418>.  Ladson, A., Brown, R., Neal, B., &
 Nathan, R. J. (2013) <doi:10.7158/W12-028.2013.17.1>.

Package: r-cran-hydrogeo
Architecture: all
Version: 0.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hydrogeo_0.6-1-1.ca2004.1_all.deb
Size: 138300
MD5sum: 276c56ababe0ab39ff2a12b1a34a3aac
SHA1: 1a4be55388901a707e8669bd2f4681f87efa4a03
SHA256: 9b72206d55ebdf2d65fc1df46860530b02d52bfcd21e2bc5a9406bf7a9fa78a2
SHA512: 4a52335c728fe444a8735db5fdff07fa3588a465e655d282d83198b7a06ded6d6f2d1c7cc209f4ba598b419fb06cf59c2effabf5a41bb5317eea19c39812e3ab
Homepage: https://cran.r-project.org/package=hydrogeo
Description: CRAN Package 'hydrogeo' (Groundwater Data Presentation and Interpretation)
 Contains one function for drawing Piper diagrams (also called Piper-Hill
 diagrams) of water analyses for major ions.

Package: r-cran-hydrogof
Architecture: all
Version: 0.6-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2639
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-hydrotsm, r-cran-xts
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hydrogof_0.6-0.1-1.ca2004.1_all.deb
Size: 1934708
MD5sum: 40ed953c0962936ac631d4281b742a65
SHA1: 813ff305040291412f8c8f0899131b7c7742996a
SHA256: 14e2a039ed9d1468b2a7ef6b107ca6d4706df36be4368e5f2380877570513faa
SHA512: 73c32892e097e34219984c409f7073cb11ce4274aa96451d858d252e73721194300c78e01f3db187d39fa37b439b25f92d5ca6f04ed3fec8b68876c7d52a1e34
Homepage: https://cran.r-project.org/package=hydroGOF
Description: CRAN Package 'hydroGOF' (Goodness-of-Fit Functions for Comparison of Simulated andObserved Hydrological Time Series)
 S3 functions implementing both statistical and graphical goodness-of-fit
 measures between observed and simulated values, mainly oriented to be used
 during the calibration, validation, and application of hydrological models.
 Missing values in observed and/or simulated values can be removed before
 computations. Comments / questions / collaboration of any kind are very
 welcomed.

Package: r-cran-hydroloom
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4055
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-sf, r-cran-units, r-cran-pbapply, r-cran-tidyr, r-cran-rann, r-cran-rlang, r-cran-fastmap
Suggests: r-cran-testthat, r-cran-nhdplustools, r-cran-future, r-cran-lwgeom, r-cran-future.apply, r-cran-knitr, r-cran-gifski, r-cran-mapview, r-cran-geos
Filename: pool/dists/focal/main/r-cran-hydroloom_1.1.0-1.ca2004.1_all.deb
Size: 1948184
MD5sum: 6ffd5f2573552dc359a1ec9a71d8c620
SHA1: 2670d73c1ccc996e83670fbe25c53bb9d694ccd8
SHA256: 82b9ebb0a4161535d4f2eca18fcdba482566d6d57c0afd046fc1b0b43d9d042e
SHA512: 8206709bcb70448d0a5782773a12a0af1774c36cff43e357203d1100a24e0facb0ef52b9a3c57a958512671d76fbbc28e632477132c6924c7cc5b87e8bf30a85
Homepage: https://cran.r-project.org/package=hydroloom
Description: CRAN Package 'hydroloom' (Utilities to Weave Hydrologic Fabrics)
 A collection of utilities that support creation of network attributes for
 hydrologic networks. Methods and algorithms implemented are documented in
 Moore et al. (2019) <doi:10.3133/ofr20191096>), Cormen and Leiserson (2022)
 <ISBN:9780262046305> and Verdin and Verdin (1999)
 <doi:10.1016/S0022-1694(99)00011-6>.

Package: r-cran-hydrome
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-minpack.lm, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-hydrome_2.1.1-1.ca2004.1_all.deb
Size: 92348
MD5sum: b3e3a0ee61b9e6df97d30816fc465f37
SHA1: 8fe352323544842e5e1744da35435c4ba8ba2889
SHA256: dd32aa8d7ea39413c3da2d947971ed09d8281adbc529bc5a1689b01d15ff48bd
SHA512: a011d921b2f6a3a5d1716d5b0886bc74773678f0005859fdbc59cb13c447bc9e077717e32900800e253d49ddd8f73194066963053bebbd88c2e5e577f8b51d04
Homepage: https://cran.r-project.org/package=HydroMe
Description: CRAN Package 'HydroMe' (Estimating Water Retention and Infiltration Model Parametersusing Experimental Data)
 Contains functions for estimating the parameters of infiltration and water
 retention models using the curve-fitting methods as discussed in Omuto and
 Gumbe (2009) ("Estimating water infiltration and retention characteristics
 using a computer program in R"<doi:10.1016/j.cageo.2008.08.011>). The models
 considered are those that are commonly used in soil science. Version 2 of
 the package has new models for water retention characteristic curves.

Package: r-cran-hydromopso
Architecture: all
Version: 0.1-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zoo, r-cran-randtoolbox, r-cran-lhs, r-cran-hydrotsm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-smoof, r-cran-hydrogof, r-cran-airgr, r-cran-tuwmodel
Filename: pool/dists/focal/main/r-cran-hydromopso_0.1-14-1.ca2004.1_all.deb
Size: 691056
MD5sum: fe79b8fe5f48aada9d4ff3b12f87b1a1
SHA1: a5c80fd7847806518a13c53af066640dcf339b6d
SHA256: 0522c7d22424e5996286e4327a001e0175797343fc651ad9527e92857989d610
SHA512: 1ce73268ad8392d691a1017ddb763ef9a766ffb335dcf32319bfc3aca6fc0ae044b5fb2e015cd513099e46cd5c41dd1085842b49e5611c69df95a793e30e54bc
Homepage: https://cran.r-project.org/package=hydroMOPSO
Description: CRAN Package 'hydroMOPSO' (Multi-Objective Optimisation with Focus on Environmental Models)
 State-of-the-art Multi-Objective Particle Swarm Optimiser (MOPSO), based on
 the algorithm developed by Lin et al. (2018) <doi:10.1109/TEVC.2016.2631279>
 with improvements described by Marinao-Rivas & Zambrano-Bigiarini (2020)
 <doi:10.1109/LA-CCI48322.2021.9769844>. This package is inspired by and
 closely follows the philosophy of the single objective 'hydroPSO' R package
 ((Zambrano-Bigiarini & Rojas, 2013) <doi:10.1016/j.envsoft.2013.01.004>),
 and can be used for global optimisation of non-smooth and non-linear R
 functions and R-base models (e.g., 'TUWmodel', 'GR4J', 'GR6J'). However, the
 main focus of 'hydroMOPSO' is optimising environmental and other real-world
 models that need to be run from the system console (e.g., 'SWAT+').
 'hydroMOPSO' communicates with the model to be optimised through its input
 and output files, without requiring modifying its source code. Thanks to its
 flexible design and the availability of several fine-tuning options,
 'hydroMOPSO' can tackle a wide range of multi-objective optimisation
 problems (e.g., multi-objective functions, multiple model variables,
 multiple periods). Finally, 'hydroMOPSO' is designed to run on multi-core
 machines or network clusters, to alleviate the computational burden of
 complex models with long execution time.

Package: r-cran-hydropeak
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-hydropeak_0.1.2-1.ca2004.1_all.deb
Size: 81368
MD5sum: 7018776273feca5dcbd271d80d313287
SHA1: b785176f18f60bab549df7ea95245c868dfe3448
SHA256: 4b69f2d76a691b63a3f665d441ab863f78a5fc03e50aab6cb95da8045f4a87e6
SHA512: 6100f6aaedd5aa4dfb42dda9263f19efdabefb6e4177d87e714fd43f90371b51410410e0910a324d9526163b6118c0165053bb793cb89e6cb6202b2eb7b72512
Homepage: https://cran.r-project.org/package=hydropeak
Description: CRAN Package 'hydropeak' (Detect and Characterize Sub-Daily Flow Fluctuations)
 An important environmental impact on running water ecosystems is caused by
 hydropeaking - the discontinuous release of turbine water because of peaks
 of energy demand. An event-based algorithm is implemented to detect flow
 fluctuations referring to increase events (IC) and decrease events (DC). For
 each event, a set of parameters related to the fluctuation intensity is
 calculated. The framework is introduced in Greimel et al. (2016) "A method
 to detect and characterize sub-daily flow fluctuations"
 <doi:10.1002/hyp.10773> and can be used to identify different fluctuation
 types according to the potential source: e.g., sub-daily flow fluctuations
 caused by hydropeaking, rainfall, or snow and glacier melt.  This is a
 companion to the package 'hydroroute', which is used to detect and follow
 hydropower plant-specific hydropeaking waves at the sub-catchment scale and
 to describe how hydropeaking flow parameters change along the longitudinal
 flow path as proposed and validated in Greimel et al. (2022).

Package: r-cran-hydroportailstats
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evd, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hydroportailstats_1.1.0-1.ca2004.1_all.deb
Size: 206468
MD5sum: 7c54aa76eab9af447465b9ba5dad489b
SHA1: 54316a6f02aafa80f46464b4d1685fd2f5386262
SHA256: 751d993a9530f1f31e608de42b17addca22a80599ae6cee8023cab0fc37901ac
SHA512: 469ba76ae7fc92dddf4551452fb48af6cc473d275fb4b779314b8d51d306d94ecaf9c921ea8bd5d7e1321bfd5b210d9a8e501c7d675f0d81d0587243a4fb35d8
Homepage: https://cran.r-project.org/package=HydroPortailStats
Description: CRAN Package 'HydroPortailStats' ('HydroPortail' Statistical Functions)
 Statistical functions used in the French 'HydroPortail'
 <https://hydro.eaufrance.fr/>.  This includes functions to estimate
 distributions, quantile curves and uncertainties, along with various other
 utilities.  Technical details are available (in French) in Renard (2016)
 <https://hal.inrae.fr/hal-02605318>.

Package: r-cran-hydropso
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 786
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-sp, r-cran-lattice, r-cran-lhs, r-cran-vioplot, r-cran-scatterplot3d, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hydropso_0.5-1-1.ca2004.1_all.deb
Size: 724864
MD5sum: 18ceaf5f44d94d32668a39034f78dea5
SHA1: 2c76e75ca9aa65bba34fa275e3bc686db2076cda
SHA256: 8be6940b2b3c54858e196abb77238f1f5b7debba405682b6753447c0181f7071
SHA512: 9b81654f8148a5b1e69909edad79de03aad6fded9c5068c7f38cd7f335994f9b2de3efad52bcd107bde3db4b6ef81d0f3fb4f0e19edb16e43c32d6e472b7b38c
Homepage: https://cran.r-project.org/package=hydroPSO
Description: CRAN Package 'hydroPSO' (Particle Swarm Optimisation, with Focus on Environmental Models)
 State-of-the-art version of the Particle Swarm Optimisation (PSO) algorithm
 (SPSO-2011 and SPSO-2007 capable). hydroPSO can be used as a replacement of
 the 'optim' R function for (global) optimization of non-smooth and
 non-linear functions. However, the main focus of hydroPSO is the calibration
 of environmental and other real-world models that need to be executed from
 the system console. hydroPSO is model-independent, allowing the user to
 easily interface any computer simulation model with the calibration engine
 (PSO). hydroPSO communicates with the model through the model's own input
 and output files, without requiring access to the model's source code.
 Several PSO variants and controlling options are included to fine-tune the
 performance of the calibration engine to different calibration problems. An
 advanced sensitivity analysis function together with user-friendly plotting
 summaries facilitate the interpretation and assessment of the calibration
 results. hydroPSO is parallel-capable, to alleviate the computational burden
 of complex models with "long" execution time. Bugs
 reports/comments/questions are very welcomed (in English, Spanish or
 Italian). See Zambrano-Bigiarini and Rojas (2013)
 <doi:10.1016/j.envsoft.2013.01.004> for more details.

Package: r-cran-hydroroute
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2427
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggpmisc, r-cran-ggplot2, r-cran-gridextra, r-cran-hydropeak, r-cran-lubridate, r-cran-reshape2, r-cran-scales
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-hydroroute_0.1.2-1.ca2004.1_all.deb
Size: 792936
MD5sum: bf65f086c0b1b77ec5cfb7ced04665e2
SHA1: 78104f67f6986eee40d58627c483b826fcd03988
SHA256: c6f8291cee930635a4a42c8d586608b3f443c4cb7e357d22f3f56a7641cae50f
SHA512: 92b66f22cb230845396bf4cde644595f3ed4488207dac289f7caee71ed36880533436b00e3d30fe840d72fdc7f1270c3885d7a2062017c69842a748b582ac1ea
Homepage: https://cran.r-project.org/package=hydroroute
Description: CRAN Package 'hydroroute' (Trace Longitudinal Hydropeaking Waves)
 Implements an empirical approach referred to as PeakTrace which uses
 multiple hydrographs to detect and follow hydropower plant-specific
 hydropeaking waves at the sub-catchment scale and to describe how
 hydropeaking flow parameters change along the longitudinal flow path. The
 method is based on the identification of associated events and uses (linear)
 regression models to describe translation and retention processes between
 neighboring hydrographs. Several regression model results are combined to
 arrive at a power plant-specific model. The approach is proposed and
 validated in Greimel et al. (2022) <doi:10.1002/rra.3978>. The
 identification of associated events is based on the event detection
 implemented in 'hydropeak'.

Package: r-cran-hydroscoper
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 768
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-stringr, r-cran-pingr, r-cran-readr, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hydroscoper_1.4.1-1.ca2004.1_all.deb
Size: 604552
MD5sum: 46aeb7d70f5993d30bf39c7100cf350f
SHA1: 3a0b3a1488ea632f3b1c062b3f0d3a45d8f6b346
SHA256: 9f8773adf2f40169aaf8a3455b17c6c0bba0e9d18c443d99f69adc837c017e5d
SHA512: 15f4b5e9c1769fe1ecee53bd6ba8cf7a888516424b0958c29af1a24cac976f30a8afdff1280661d7e8fd071e3d1c87e2dbfd053c14fdf33adf1a400830e3d910
Homepage: https://cran.r-project.org/package=hydroscoper
Description: CRAN Package 'hydroscoper' (Interface to the Greek National Data Bank forHydrometeorological Information)
 R interface to the Greek National Data Bank for Hydrological and
 Meteorological Information. It covers Hydroscope's data sources and provides
 functions to transliterate, translate and download them into tidy
 dataframes.

Package: r-cran-hydrostats
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-hydrostats_0.2.9-1.ca2004.1_all.deb
Size: 192492
MD5sum: 154eb693596a36b2b394ec592f21f289
SHA1: d753a528c703aa79ee97a22280ebb7c688c3a560
SHA256: 0b49679be59a26bedb3cb201469292bb58ef29afdc4d6198e35e0f19a1dbeb91
SHA512: 966a8d6012832319424a72117964e3b5e7baf0ce81452239a9b2d5adfc7f1ac53580f22711db73a63967cdc274b8ffd4a058325fc01fb93ab887654a876fd0e6
Homepage: https://cran.r-project.org/package=hydrostats
Description: CRAN Package 'hydrostats' (Hydrologic Indices for Daily Time Series Data)
 Calculates a suite of hydrologic indices for daily time series data that are
 widely used in hydrology and stream ecology.

Package: r-cran-hydrotoolkit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-lubridate, r-cran-readxl, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-hydrotoolkit_0.1.0-1.ca2004.1_all.deb
Size: 1148524
MD5sum: ecb5dc05b844a8ca1511fe3c1d9ddf4c
SHA1: 69458305e450e0e291c60b99b04ac1eb422f3809
SHA256: a68af8bbb4c4e9f413ac86be79f08d7e921f936be6d9609ef27a87d385348048
SHA512: ae302448cb2d6e56edd9f5a9709fb650db6c14ba4b4a1b5c5e02a38703b5dd3406f86f0639c4b4285ce95e8bbc845bb7c49e2fbd07d409e24416c24a01707210
Homepage: https://cran.r-project.org/package=hydroToolkit
Description: CRAN Package 'hydroToolkit' (Hydrological Tools for Handling Hydro-Meteorological Data fromArgentina and Chile)
 Read, plot, manipulate and process hydro-meteorological data from Argentina
 and Chile.

Package: r-cran-hydrotsm
Architecture: all
Version: 0.7-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3830
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-xts, r-cran-e1071, r-cran-lattice, r-cran-classint
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-hydrotsm_0.7-0.1-1.ca2004.1_all.deb
Size: 3630308
MD5sum: 09d7dce8f5c5888b18f394719cd1f69c
SHA1: 4a407f946f9dd7fb4d4fdfd64cb15a08b8ace524
SHA256: 0d727a5ae12344b2d4e6e589df9fa2e75314f4f2ffc9378e70c090b62e193642
SHA512: 6c9b68f99ff47d6e0027c9e8fb20e9ecef164d92fcbecc189816a2cafb16d13b9c71e1558c9f14ace88d74a931cb77146d6dbbd78503048a2acd72fac3293f12
Homepage: https://cran.r-project.org/package=hydroTSM
Description: CRAN Package 'hydroTSM' (Time Series Management and Analysis for Hydrological Modelling)
 S3 functions for management, analysis, interpolation and plotting of time
 series used in hydrology and related environmental sciences. In particular,
 this package is highly oriented to hydrological modelling tasks. The focus
 of this package has been put in providing a collection of tools useful for
 the daily work of hydrologists (although an effort was made to optimise each
 function as much as possible, functionality has had priority over speed).
 Bugs / comments / questions / collaboration of any kind are very welcomed,
 and in particular, datasets that can be included in this package for
 academic purposes.

Package: r-cran-hyfo
Architecture: all
Version: 1.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 979
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-zoo, r-cran-sf, r-cran-plyr, r-cran-moments, r-cran-lmom, r-cran-maps, r-cran-sp, r-cran-ncdf4, r-cran-mass, r-cran-data.table
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hyfo_1.4.6-1.ca2004.1_all.deb
Size: 661096
MD5sum: 6bf2f44e20893466ccffad9df6823352
SHA1: e3024cbfc137e98f2d4f03a9b7a3e92cdbf15ad3
SHA256: 5d01e2fb5e1f5b21661a3df2125c625e0518136cb5d6bedf8f7c6f8bb0c05644
SHA512: d5f469c44ee4f5c4179e6af85807eacede982f7cbf9f61c32ab52f83500d4312b5a58f1429ea502c422c709f9c503697efbab68d53bec6a24fcdeda4fded70b9
Homepage: https://cran.r-project.org/package=hyfo
Description: CRAN Package 'hyfo' (Hydrology and Climate Forecasting)
 Focuses on data processing and visualization in hydrology and climate
 forecasting. Main function includes data extraction, data downscaling, data
 resampling, gap filler of precipitation, bias correction of forecasting
 data, flexible time series plot, and spatial map generation. It is a good
 pre- processing and post-processing tool for hydrological and hydraulic
 modellers.

Package: r-cran-hymett
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7503
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-envstats, r-cran-lmomco, r-cran-lubridate, r-cran-plyr, r-cran-rlang, r-cran-tibble, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hymett_1.1.3-1.ca2004.1_all.deb
Size: 2233668
MD5sum: a234248f961140b5e99ebd3d132c59fc
SHA1: 0a43e631795b812f0bf62450097f56466d3bd5b9
SHA256: dae2e57dd16f7d524a7cd7ea6adbe44a07174681a74f2aedd88ca97a5dde67bd
SHA512: 77259781ad47c747865608020322df3f77aa4ee847fc39e0c6accb75471b2ecb205ee3572aba9a697b0268b1935ca4a33a74cba325206df12e504d7850b5f495
Homepage: https://cran.r-project.org/package=HyMETT
Description: CRAN Package 'HyMETT' (Hydrologic Model Evaluation and Time-Series Tools)
 Facilitates the analysis and evaluation of hydrologic model output and
 time-series data with functions focused on comparison of modeled (simulated)
 and observed data, period-of-record statistics, and trends.

Package: r-cran-hyper.fit
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1236
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magicaxis, r-cran-mass, r-cran-rgl, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-hyper.fit_1.2.1-1.ca2004.1_all.deb
Size: 360652
MD5sum: 6dd6e13dbd322e35c48adf2956e04ccd
SHA1: 93c9a122d0cd5bcc725112ac5c4758ea28201aa0
SHA256: d128119dc37e9e2dda2c39146f7322a4e46b741476cf772e981547aca6d52955
SHA512: 5827b4a242d9e197210d01cee28cd83a11e3c2ef65ccd401bfe41fe243a60196343fb73bae57d345cb821f0fe8089469635542b70f104461e9b49c9bb49b8983
Homepage: https://cran.r-project.org/package=hyper.fit
Description: CRAN Package 'hyper.fit' (N-Dimensional Hyperplane Fitting with Errors)
 High level functions for hyperplane fitting (hyper.fit()) and visualising
 (hyper.plot2d() / hyper.plot3d()). In simple terms this allows the user to
 produce robust 1D linear fits for 2D x vs y type data, and robust 2D plane
 fits to 3D x vs y vs z type data. This hyperplane fitting works generically
 for any N-1 hyperplane model being fit to a N dimension dataset. All fits
 include intrinsic scatter in the generative model orthogonal to the
 hyperplane.

Package: r-cran-hyper.gam
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4578
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-cli, r-cran-mgcv, r-cran-nlme, r-cran-plotly, r-cran-groupedhyperframe
Suggests: r-cran-knitr, r-cran-quarto, r-cran-rmarkdown, r-cran-spatstat.geom, r-cran-survival, r-cran-matrixstats, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-hyper.gam_0.1.2-1.ca2004.1_all.deb
Size: 1069492
MD5sum: 4cefb7834910a3638efacdd4b812111e
SHA1: 161198b511c0686cc6669c639f2f7ba850aed1b3
SHA256: b2c26d051681ab13ff1af9027f6fbbfdd212a2a89b97a3a384efc2b40deb5291
SHA512: 6f58e2ffbcddc1bd901f42c1e04e0d650cfda077121ac462f441e8a9c82ae94f245c206df9d93ec49ce24b057aa196f6499ff9c815be27e6e4a8339131869534
Homepage: https://cran.r-project.org/package=hyper.gam
Description: CRAN Package 'hyper.gam' (Generalized Additive Models with Hyper Column)
 Generalized additive models with a numeric hyper column tabulated on a
 common grid. Sign-adjustment based on the correlation of model prediction
 and a selected slice of the hyper column. Visualization of the integrand
 surface over the hyper column.

Package: r-cran-hyperbolicdea
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-lpsolveapi, r-cran-nloptr, r-cran-benchmarking
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hyperbolicdea_1.0.2-1.ca2004.1_all.deb
Size: 81472
MD5sum: 8b120637268433ffb126e1af96ef1207
SHA1: 952580db78748a0fd90f501dd3009693be1fe895
SHA256: 021f9ac7bf64d5b825ab99476c29ec8a48f3095f317e9587c7c887b70472f042
SHA512: ac3374215886b8638fec206dc8de88f526147199e961c99d53f3803adb3a7ec0923ddfe29b2ccccfe88c8813dca6f31ebd930e56314d6d7e379c984f0533f36d
Homepage: https://cran.r-project.org/package=hyperbolicDEA
Description: CRAN Package 'hyperbolicDEA' (Hyperbolic DEA Estimation)
 Implements Data Envelopment Analysis (DEA) with a hyperbolic orientation
 using a non-linear programming solver. It enables flexible estimations with
 weight restrictions, non-discretionary variables, and a generalized distance
 function. Additionally, it allows for the calculation of slacks and
 super-efficiency scores. The methods are detailed in Öttl et al. (2023),
 <doi:10.1016/j.dajour.2023.100343>. Furthermore, the package provides a
 non-linear profitability estimation built upon the DEA framework.

Package: r-cran-hyperbolicdist
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-actuar
Filename: pool/dists/focal/main/r-cran-hyperbolicdist_0.6-5-1.ca2004.1_all.deb
Size: 358680
MD5sum: d6af2f430968fdfe61fcf30d2a49695f
SHA1: 9bf88927bd781019f49f434422f67e01091d435d
SHA256: 81d701b9edcbc6c9d022e191240d84fdd0e31b14d4c775efaf22a81b63cbd09b
SHA512: dfda061c746e22268a71b66670dd566de4c3f22d5da87d6e4b9a3de353227b77ce7efb88409c6556a8442125ef5bff1b8510f010c907623f6dd43d61e5f582ec
Homepage: https://cran.r-project.org/package=HyperbolicDist
Description: CRAN Package 'HyperbolicDist' (The Hyperbolic Distribution)
 Maintenance has been discontinued for this package. It has been superseded
 by 'GeneralizedHyperbolic'. 'GeneralizedHyperbolic' includes all the
 functionality of 'HyperbolicDist' and more and is based on a more rational
 design. 'HyperbolicDist' provides functions for the hyperbolic and related
 distributions. Density, distribution and quantile functions and random
 number generation are provided for the hyperbolic distribution, the
 generalized hyperbolic distribution, the generalized inverse Gaussian
 distribution and the skew-Laplace distribution. Additional functionality is
 provided for the hyperbolic distribution, including fitting of the
 hyperbolic to data.

Package: r-cran-hyperbrick
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-openimager, r-cran-catools, r-cran-dfoptim, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-hyperbrick_1.0-1.ca2004.1_all.deb
Size: 2960608
MD5sum: 675d2e7e02cff4d1a0cedbd4ead55097
SHA1: 1f9d6f7430e555058c4241ee567e9c5205e3dac8
SHA256: 965681dcf862c16d1bc56a84f21af72f671e04a0b2ba8a3af6e26a17a446b08d
SHA512: eac11a4960c085f7acbc5a565cb492ad7878ad3c695fe49adf2922212d82f121ddbfc90b7003b43f74e6e5117483ce6bec0a9ce511afaadbe8d658ec83cab70c
Homepage: https://cran.r-project.org/package=hyperbrick
Description: CRAN Package 'hyperbrick' (Accessory Tools for Preprocessing Hyper-Spectral Images)
 Read and execute preprocessing procedures on hyper-spectral images.  These
 type of sensor data are usually recorded in a raw format. This package
 contains some easy-to-use functions to promptly build the image with some
 basic radiometric calibrations, setting up the geographic information.
 Geometric correction can be done with band-to-band registration (translation
 and rotation). Further functionalities allow to compute sliding windows
 statistics over the image.

Package: r-cran-hypercube
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-stringr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-hypercube_0.2.1-1.ca2004.1_all.deb
Size: 201012
MD5sum: 3ce18a77336e301df93f80e4698c1cc9
SHA1: 56e2dabdca232b14816b78c3df93ed9bb24faf04
SHA256: 8c5ba737f7a40983f8e19105727de6d5fef5ecbefdc41ce5472e7078f05bdf05
SHA512: aa1e9918d61905229edaf8f9683e4d1d55f0f44facb8e13aa6dedda9012a2eb069ec7e9bdc748c7f6de010d70c90fd179fc52701163674d2861b2e72e8de7f05
Homepage: https://cran.r-project.org/package=hypercube
Description: CRAN Package 'hypercube' (Organizing Data in Hypercubes)
 Provides functions and methods for organizing data in hypercubes (i.e., a
 multi-dimensional cube). Cubes are generated from molten data frames.  Each
 cube can be manipulated with five operations: rotation
 (change.dimensionOrder()), dicing and slicing (add.selection(),
 remove.selection()), drilling down (add.aggregation()), and rolling up
 (remove.aggregation()).

Package: r-cran-hyperg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mclust, r-cran-proxy, r-cran-rspectra, r-cran-gtools, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hyperg_1.0.0-1.ca2004.1_all.deb
Size: 282640
MD5sum: f626e3bf7d4ca9edd5dcb973a124bce7
SHA1: dbeab7e40abc20cf9ed16cfc43a1b60c78a10ae9
SHA256: 61ede154e725095a6c377bd9095c8dd501a23d427f5c82e1f211954d378105ea
SHA512: f2601eb0f8e18b4ce26079dac073a43cf67b1a1c7af6ec654706b3f4b8c91dfe9e71f5366f1922ad463a722389728d60ea288e90231c0d6df9e725f7b8e18558
Homepage: https://cran.r-project.org/package=HyperG
Description: CRAN Package 'HyperG' (Hypergraphs in R)
 Implements various tools for storing and analyzing hypergraphs.  Handles
 basic undirected, unweighted hypergraphs, and various ways of creating
 hypergraphs from a number of representations, and converting between graphs
 and hypergraphs.

Package: r-cran-hypergate
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 764
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-flowcore, r-cran-sp, r-cran-sf
Filename: pool/dists/focal/main/r-cran-hypergate_0.8.5-1.ca2004.1_all.deb
Size: 655548
MD5sum: 3fa203ecf48f84f766fcfc6bd6460931
SHA1: 76ff470f2357cea75f4a34c598ebb38604f29410
SHA256: d2b74bbc754946b31a2d81d74d96bb14577ad049a5ae8924922a909caa99974f
SHA512: 6838e6f617574a3a42752292ad645854cfc0b3298a0930d2bed293bcc11da929c533545a67f275da2ac2a3ee5bbd107b9e82f73a6b1633bfe66fa03ea38f9f29
Homepage: https://cran.r-project.org/package=hypergate
Description: CRAN Package 'hypergate' (Machine Learning of Hyperrectangular Gating Strategies forHigh-Dimensional Cytometry)
 Given a high-dimensional dataset that typically represents a cytometry
 dataset, and a subset of the datapoints, this algorithm outputs an
 hyperrectangle so that datapoints within the hyperrectangle best correspond
 to the specified subset. In essence, this allows the conversion of
 clustering algorithms' outputs to gating strategies outputs.

Package: r-cran-hypergeo
Architecture: all
Version: 1.2-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-elliptic, r-cran-contfrac, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-hypergeo_1.2-14-1.ca2004.1_all.deb
Size: 343312
MD5sum: 8f1ae4bfe806dd1f3150e8732d23084a
SHA1: 76fe772879910c455d8765be392812f94dd6422f
SHA256: eb38631a612ab5a445dd00c5c6e835100231756f7e5968b57e91d5919dea77cf
SHA512: fb10b101c3b4e0b0be93b26c9fc15f92db5c44b45586ec8870941ab6bc4d25f2e71471daef71d7fae7e69c31593a36fdac0ad0a0c286b64dbeabaf30066c6152
Homepage: https://cran.r-project.org/package=hypergeo
Description: CRAN Package 'hypergeo' (The Gauss Hypergeometric Function)
 The Gaussian hypergeometric function for complex numbers.

Package: r-cran-hyperoverlap
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6575
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-matlib, r-cran-ggplot2, r-cran-rgl, r-cran-misc3d, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plotrix, r-cran-rlang, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-hyperoverlap_1.1.1-1.ca2004.1_all.deb
Size: 479760
MD5sum: c7a61f29ef95c90d6cc69863c33fc3e7
SHA1: 99e175c2af73db879ca9d96008e1165746b3524b
SHA256: 618cf99ab78648386b49f0eba9b9afe23f030b0956040527efde591573311fc6
SHA512: efb70e3d3e18c6cd03608b8b252c7c78021c64774f2044423c1cd07b350ff095382348ee5c0572424de10fafb87f6b8fb6f4e4fdcff2f13d8e1116f38fe23b4b
Homepage: https://cran.r-project.org/package=hyperoverlap
Description: CRAN Package 'hyperoverlap' (Overlap Detection in n-Dimensional Space)
 Uses support vector machines to identify a perfectly separating hyperplane
 (linear or curvilinear) between two entities in high-dimensional space. If
 this plane exists, the entities do not overlap. Applications include overlap
 detection in morphological, resource or environmental dimensions. More
 details can be found in: Brown et al. (2020) <doi:10.1111/2041-210X.13363> .

Package: r-cran-hypersampleplan
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hypersampleplan_0.1.1-1.ca2004.1_all.deb
Size: 75456
MD5sum: c9381bd7574272f1e35e9e8b270eb7df
SHA1: 4d8e40a83e2067b3c65106836fcb22ca19bdec25
SHA256: ed5c38d602986c85d3731c51d0e541a13ca91c61828504b522a0f6d1efbcbde1
SHA512: f484624719429e5d161f5ecdabe3d09146b9bb86f2f5ed1592ac619172f35fc8ee37cb34b5acb6436bcb01294e76f07eb7f0e240ab5e35225e4b93dee67cb9ce
Homepage: https://cran.r-project.org/package=hypersampleplan
Description: CRAN Package 'hypersampleplan' (Attribute Sampling Plan with Exact Hypergeometric Probabilitiesusing Chebyshev Polynomials)
 Implements an algorithm for efficient and exact calculation of
 hypergeometric and binomial probabilities using Chebyshev polynomials, while
 other algorithm use an approximation when N is large. A useful applications
 is also considered in this package for the construction of attribute
 sampling plans which is an important field of statistical quality control.
 The quantile, and the confidence limit for the attribute sampling plan are
 also implemented in this package. The hypergeometric distribution can be
 represented in terms of Chebyshev polynomials. This representation is
 particularly useful in the calculation of exact values of hypergeometric
 variables.

Package: r-cran-hypersmurf
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-unbalanced, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-hypersmurf_2.0-1.ca2004.1_all.deb
Size: 159468
MD5sum: 869c3b94a9c3e819ffe15f5a78a385fb
SHA1: fb2a3b0196e5bcfa8e5395ae65954cfe3d8c4c9b
SHA256: 5e3d859264d646ddd451382d6ec5d2b2df14deb572f086087a3451da4ad15247
SHA512: d53e21f5a2764ee72f08b7af23900057008990f9fb8222932b28f30924feda0f958ab16e8d10e33d2abdec646a3ffc99287e3808ed9f21199a49e9fb9e467c93
Homepage: https://cran.r-project.org/package=hyperSMURF
Description: CRAN Package 'hyperSMURF' (Hyper-Ensemble Smote Undersampled Random Forests)
 Machine learning supervised method to learn rare genomic features in
 imbalanced genetic data sets. This method can be also applied to classify or
 rank examples characterized by a high imbalance between the minority and
 majority class. hyperSMURF adopts a hyper-ensemble (ensemble of ensembles)
 approach, undersampling of the majority class and oversampling of the
 minority class to learn highly imbalanced data.

Package: r-cran-hyperspec
Architecture: all
Version: 0.100.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1389
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-xml2, r-cran-testthat, r-cran-latticeextra, r-cran-lazyeval, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-r.matlab, r-cran-deldir, r-cran-rgl, r-cran-plotrix, r-cran-sp, r-cran-baseline, r-cran-inline, r-cran-rcpp, r-cran-mass, r-cran-fastcluster, r-cran-pls, r-cran-mvtnorm, r-cran-digest, r-cran-reshape, r-cran-devtools, r-cran-r.rsp, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hyperspec_0.100.2-1.ca2004.1_all.deb
Size: 1157092
MD5sum: a0d4bd21449f00d046d398d73024162a
SHA1: a53917292d8cdab05afb22ad8101f83475f6c697
SHA256: eb16b027481bb9592688931ea62c1ba807469529a0efb6ccebe6f1af65394dfd
SHA512: cd1d364ca0e2dffa31bd70e4f89bf70f21425a7ae3468c50f1a0fb2e0e3f057cb9197134903c7da7c003d267b583fc527f753a16bdfd8f06c1fb7d8adb505744
Homepage: https://cran.r-project.org/package=hyperSpec
Description: CRAN Package 'hyperSpec' (Work with Hyperspectral Data, i.e. Spectra + Meta Information(Spatial, Time, Concentration, ...))
 Comfortable ways to work with hyperspectral data sets.  I.e. spatially or
 time-resolved spectra, or spectra with any other kind of information
 associated with each of the spectra. The spectra can be data as obtained in
 XRF, UV/VIS, Fluorescence, AES, NIR, IR, Raman, NMR, MS, etc. More
 generally, any data that is recorded over a discretized variable, e.g.
 absorbance = f(wavelength), stored as a vector of absorbance values for
 discrete wavelengths is suitable.

Package: r-cran-hypetools
Architecture: all
Version: 1.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2255
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-clipr, r-cran-colorspace, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-lubridate, r-cran-ncdf4, r-cran-patchwork, r-cran-pbapply, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-beepr, r-cran-dt, r-cran-htmlwidgets, r-cran-leaflet, r-cran-leaflet.extras, r-cran-mapview, r-cran-plotly, r-cran-sf, r-cran-shiny, r-cran-shinyalert, r-cran-shinyfiles, r-cran-shinywidgets, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-hypetools_1.6.5-1.ca2004.1_all.deb
Size: 1286836
MD5sum: 93042a50003abcea6c87b0834410c1c7
SHA1: b9e04a8e992f58c6d0228e0e3e645c96fbe9ed4b
SHA256: cb068a7ca15afd9928cadf8e41470d5c82e7abd64ca37ea9083ccbe72d926fc1
SHA512: 7852bdd55d97759ea2f40900aeb889f4f05f3d7c79b17519ce6e5430e04ac05cc719be844cbddda497f712b19e1b6f93f3867e6dc1edc6211c545c4c84bed340
Homepage: https://cran.r-project.org/package=HYPEtools
Description: CRAN Package 'HYPEtools' (Tools for Processing and Analyzing Files from the HydrologicalCatchment Model HYPE)
 Work with model files (setup, input, output) from the hydrological catchment
 model HYPE: Streamlined file import and export, standard evaluation plot
 routines, diverse post-processing and aggregation routines for hydrological
 model analysis. The HYPEtools package is also archived at
 <doi:10.5281/zenodo.7627955> and can be cited in publications with Brendel
 et al. (2024) <doi:10.1016/j.envsoft.2024.106094>.

Package: r-cran-hyphy
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-hyphy_1.0-1.ca2004.1_all.deb
Size: 70552
MD5sum: 327f4d57a426c757f30b65454dcd9fdc
SHA1: 498ff258249cfccb2a450aec641b434041514731
SHA256: 3eb34e797403ecff20564ae0c662d186718bac02fe24da122c1d585b9b24f7af
SHA512: a585d23bc6f15454c1486464edbd11d7f0d138a0d4f854947a3fc88698f2e8baa6645646137d60662b662a2d7346c39e61a16c8e2747b6d67e503eecb1fc9b42
Homepage: https://cran.r-project.org/package=HyPhy
Description: CRAN Package 'HyPhy' (Macroevolutionary phylogentic analysis of species trees and genetrees)
 A Bay Area high level phylogenetic analysis package mostly using the
 birth-death process. Analysis of species tree branching times and simulation
 of species trees under a number of different time variable birth-death
 processes.  Analysis of gene tree species tree reconciliations and
 simulations of gene trees in species trees.

Package: r-cran-hyporf
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hyporf_1.0.1-1.ca2004.1_all.deb
Size: 19976
MD5sum: d4b612ef80e54fd848565cc1b4136aa2
SHA1: be277c08e56a4f1b2ae0ed31fc230db7485b4775
SHA256: 19049b92f841f890b3d1c1a12283f67c3fd9dbc23ca731f4adfa9bb3e2d9fb0a
SHA512: 9f09cdf80a5db451b4182a87dcaf9f7830f2bfa39a3ba56d9119780f4ba8dee70ab2f91242228597c1f8ceff0657a8b9e832a44e8b754f7ca929874632f31cd4
Homepage: https://cran.r-project.org/package=hypoRF
Description: CRAN Package 'hypoRF' (Random Forest Two-Sample Tests)
 An implementation of Random Forest-based two-sample tests as introduced in
 Hediger & Michel & Naef (2022).

Package: r-cran-hypothesestest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-hypothesestest_1.0-1.ca2004.1_all.deb
Size: 33044
MD5sum: 5fdce9f4d9bdabb49d82f9b546d3e74b
SHA1: 9fb0fcbf4b4258fa9382832cdc152a2d375518ae
SHA256: 9d4cdc1880ff1479f6c3d995a4fdeb2086ca097d0bb8bea3673ed9838fa7028f
SHA512: 47dcd25493212fc0d49f75ea6d0adc8a11a210a1f5e0a5a2755c5b11f932ce083744c3034dab4ec6a7f38456a8cb8c2bfeec2163594acd56e8642c041b87484c
Homepage: https://cran.r-project.org/package=hypothesestest
Description: CRAN Package 'hypothesestest' (Confidence Intervals and Tests of Statistical Hypotheses)
 Compute the confidence interval of the population mean with one sample or of
 the difference of population means of two samples from normal distributions
 or t-distributions.Compute the confidence interval of population variance
 with one sample or of the difference of population variances of two samples
 by chi-square tests.Test for population mean or the differences of two
 normal samples under normality with the given null hypothesis H0,which
 depends on the user,so that he can know if he can reject H0 or not at the
 significance level alpha.Do the chi-square tests with one or two samples
 which have multinomial distributions by using an approximate chi-square
 distribution when n is large enough.

Package: r-cran-hypothesis
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-magrittr, r-cran-glue, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-htmltools, r-cran-purrr, r-cran-httr
Suggests: r-cran-shiny, r-cran-testthat, r-cran-withr, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-hypothesis_1.1.0-1.ca2004.1_all.deb
Size: 55828
MD5sum: d3ff816d913b4839a7dab9c228fcf220
SHA1: 80d56548b18ca987e89574d47ec1bbc616337f38
SHA256: 99e0049529ddf8d4df31c2979956453dbfcd6981e1c92b0056595b2d8356b5ae
SHA512: 18cc4de0d97e643e1c4e2d48c6cb27f41a9f2d43e0644440bb76f539d1f0c61fb27352b4d24ceb6fb5dc306d2d6cf8252094ef97e2ea3134b0f6b253b1516596
Homepage: https://cran.r-project.org/package=hypothesis
Description: CRAN Package 'hypothesis' (Wrapper for 'hypothes.is')
 Add, share and manage annotations for 'Shiny' applications and R Markdown
 documents via 'hypothes.is'.

Package: r-cran-hypothesisr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hypothesisr_0.1.1-1.ca2004.1_all.deb
Size: 51256
MD5sum: 4bf512851ffa94f4a8b33fe4e31e4a08
SHA1: 9277433c368de5dcfb367449b42d00e4f117bece
SHA256: bbe1f747a73ba8faefabfd3c9890c7c486650fa38ad6372867e8d769dc6c4806
SHA512: 78b4a280ac3237cc298dbc1a900735335ccca3a9e722d08649f9cd41204cdf9c30e9d5c04f90a041a3007c974eca619465ef4c65f1ee89e1d0a8d37e04d30812
Homepage: https://cran.r-project.org/package=hypothesisr
Description: CRAN Package 'hypothesisr' (Wrapper for the 'Hypothes.is' Web Annotation Service)
 Interact with the application programming interface for the web annotation
 service 'Hypothes.is' (See <http://hypothes.is> for more information.)
 Allows users to download data about public annotations, and create,
 retrieve, update, and delete their own annotations.

Package: r-cran-hypr
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-pracma, r-cran-cli, r-cran-magrittr, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-hypr_0.2.8-1.ca2004.1_all.deb
Size: 303464
MD5sum: c87c023df052d0faed1f2a638af81212
SHA1: c4683b29d19401c1ef1bed381e198b237285ed1d
SHA256: 42f2c534a95de2ebb395be36f99754722d72344f5bf473c61917aeeacee0a66b
SHA512: 36949848e0b0a9aecf8a677dbbb0052b56c770be022274dccf55517aa37299815459e7cf8de07e4ca94bbd40871021491f65cb887133ba3e24236219b5c4abbd
Homepage: https://cran.r-project.org/package=hypr
Description: CRAN Package 'hypr' (Hypothesis Matrix Translation)
 Translation between experimental null hypotheses, hypothesis matrices, and
 contrast matrices as used in linear regression models. The package is based
 on the method described in Schad et al. (2019)
 <doi:10.1016/j.jml.2019.104038> and Rabe et al. (2020)
 <doi:10.21105/joss.02134>.

Package: r-cran-hypsoloop
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2715
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynomf, r-cran-dplyr, r-cran-ggplot2, r-cran-terra, r-cran-stars, r-cran-sf, r-cran-sjplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hypsoloop_0.2.0-1.ca2004.1_all.deb
Size: 2268068
MD5sum: 527713a25464ee06cf7d722863fd3498
SHA1: 71e970b44ef3b44241c596489ae6f5bbf7e76c91
SHA256: 04583aae657fb2a7341608f1cf23b34b4d3e6b31d625d24a8e30ac3bf7b078b3
SHA512: d2311add4f9b86f11babf6a9822052a1e7a579403394c1b90a3be322e615e8fba263dde0c6bd07b803a169e2ace6dcc4a996a56a36e4f33b76c0c9e6c10e9b0b
Homepage: https://cran.r-project.org/package=hypsoLoop
Description: CRAN Package 'hypsoLoop' (A Tool Used to Conduct Hypsometric Analysis of a Watershed)
 Functions for generating tables required for drawing and calculating
 hypsometric curves and hypsometric integrals.  These functions accept as
 input the DEM of the region of interest (your watershed) and a spatial data
 frame file specifying delineation of sub-catchments within the watershed.
 They then generate output in the form of PNG images and HTML files contained
 in a folder named "HYPSO_OUTPUT" created in the current directory.  S. K.
 Sharma, S. Gajbhiye, et al. (2018) <doi:10.1007/978-981-10-5801-1_19>.
 Omvir Singh, A. Sarangi, and Milap C. Sharma (2006)
 <doi:10.1007/s11269-008-9242-z>.  James A. Vanderwaal and Herbert Ssegane
 (2013) <doi:10.1111/jawr.12089>.

Package: r-cran-hyrim
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-compare, r-cran-polynom, r-cran-grimport2, r-cran-rglpk, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-qpdf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hyrim_2.0.2-1.ca2004.1_all.deb
Size: 551092
MD5sum: 7ed7ab9ddd1c1691bc49797b1f95ec30
SHA1: 989c468a5981d2718fd2297af8d1d734692546b8
SHA256: 30fca62b366eeed189832954aa232428efa1008c0c994422ae635b28b233fcab
SHA512: ad9c6b337b7f138b62354ed2b98b90a1c3f13abfac1b94c5b18e96971898f747f2f40a9d841a50bc2789ffa470fce9686904a26df6cef2e1a7306c5a53ad3b18
Homepage: https://cran.r-project.org/package=HyRiM
Description: CRAN Package 'HyRiM' (Multicriteria Risk Management using Zero-Sum Games withVector-Valued Payoffs that are Probability Distributions)
 Construction and analysis of multivalued zero-sum matrix games over the
 abstract space of probability distributions, which describe the losses in
 each scenario of defense vs. attack action. The distributions can be
 compiled directly from expert opinions or other empirical data (insofar
 available). The package implements the methods put forth in the EU project
 HyRiM (Hybrid Risk Management for Utility Networks), FP7 EU Project Number
 608090. The method has been published in Rass, S., König, S., Schauer, S.,
 2016. Decisions with Uncertain Consequences-A Total Ordering on
 Loss-Distributions. PLoS ONE 11, e0168583.
 <doi:10.1371/journal.pone.0168583>, and applied for advanced persistent
 thread modeling in Rass, S., König, S., Schauer, S., 2017. Defending Against
 Advanced Persistent Threats Using Game-Theory. PLoS ONE 12, e0168675.
 <doi:10.1371/journal.pone.0168675>. A volume covering the wider range of
 aspects of risk management, partially based on the theory implemented in the
 package is the book edited by S. Rass and S. Schauer, 2018. Game Theory for
 Security and Risk Management: From Theory to Practice. Springer,
 <doi:10.1007/978-3-319-75268-6>, ISBN 978-3-319-75267-9.

Package: r-cran-hysaint
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-energy, r-cran-pracma, r-cran-selectiveinference, r-cran-variablescreening, r-cran-sis
Filename: pool/dists/focal/main/r-cran-hysaint_1.2.1-1.ca2004.1_all.deb
Size: 69600
MD5sum: 7fe2f05f84db947ea8fae4148191fa1a
SHA1: a267ba500409264689a25ca32980d55fbd2bb6fd
SHA256: 016065792da13037e312f70e59df58f48006ae0e7fff78ea1a0bdf7a52d1e8a9
SHA512: dc5527d9e6b5e5ea49aacdf76433b3a2952f74f0960f27268c1a2407f9dceb9cd74a8eed7ea7c2ccd5c169848ef3c027424b3e58522f8e099cc7ebcba8745b2b
Homepage: https://cran.r-project.org/package=hySAINT
Description: CRAN Package 'hySAINT' (Hybrid Genetic and Simulated Annealing Algorithm for HighDimensional Linear Models with Interaction Effects)
 We provide a stage-wise selection method using genetic algorithms, designed
 to efficiently identify main and two-way interactions within
 high-dimensional linear regression models. Additionally, it implements
 simulated annealing algorithm during the mutation process. The relevant
 paper can be found at: Ye, C.,and Yang,Y. (2019)
 <doi:10.1109/TIT.2019.2913417>.

Package: r-cran-hyspc.testthat
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-hyspc.testthat_0.2.1-1.ca2004.1_all.deb
Size: 17900
MD5sum: fc46acd858a0b5888938b1fd5c7ec6f5
SHA1: 8407f13b15847cb36ab28db06afd6495bf76b4b9
SHA256: aed5e0225233354ff1d04c9f2dde46bbd0bdbb7b5608c57ba3ce59a9523eaf77
SHA512: 2b4365db1d85be8b3f3c36e69dc14b58fe56f47918971e32699ec5e7d03c33e74a3dbb9ce3944abd790a9ee718590d2c497f35889b9422cf662d51b33ece5d13
Homepage: https://cran.r-project.org/package=hySpc.testthat
Description: CRAN Package 'hySpc.testthat' ('testthat' Unit Test Enhancements)
 Enhance package 'testthat' by allowing tests to be attached to the
 function/object they test.  This allows to keep functional and unit test
 code together.

Package: r-cran-hysteresis
Architecture: all
Version: 2.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-msm, r-cran-mass
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-hysteresis_2.7.2-1.ca2004.1_all.deb
Size: 546328
MD5sum: 391a0cdb62231035a3e8d20a87ec7f4d
SHA1: f032854bf86e189a779b4c033a3697c01a22e500
SHA256: 940d8b57f2629cb9dc7e93e8a204f74bdae52e9dcb838b8e57c80b3e913fcbd8
SHA512: 1eb41795a602faee3e6a10a7b88e8ea3928325be7d896aa41dcf429c6abd49167add33d4ed22b58b9e64b873ec029c0138495e415a868e0547ec3e66b74b62e2
Homepage: https://cran.r-project.org/package=hysteresis
Description: CRAN Package 'hysteresis' (Tools for Modeling Rate-Dependent Hysteretic Processes andEllipses)
 Fit, summarize and plot sinusoidal hysteretic processes using: two-step
 simple harmonic least squares, ellipse-specific non-linear least squares,
 the direct method, geometric least squares or linear least squares. See
 Yang, F and A. Parkhurst, "Efficient Estimation of Elliptical Hysteresis
 with Application to the Characterization of Heat Stress"
 <DOI:10.1007/s13253-015-0213-6>.

Package: r-cran-hystreet
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 838
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-lubridate
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-scales
Filename: pool/dists/focal/main/r-cran-hystreet_0.0.3-1.ca2004.1_all.deb
Size: 597512
MD5sum: 58d64372c9926833ea72a5f4b02a42ea
SHA1: 3be64a758c9aded44843b82c58b4c997ac81e095
SHA256: 89788169ece6527eda8ed56b6c1b4a1cb69e3d488344e69ace28a4532d495080
SHA512: 3955cd64ed425184c9db0013635d27f6573b77006d0f0464193dbdcd43f22b2a7f100751e6273cb52bbf68f42e45d8c2eb761983a744b36568e41cdea343fef3
Homepage: https://cran.r-project.org/package=hystReet
Description: CRAN Package 'hystReet' (Get Pedestrian Frequency Data from the 'Hystreet' Project)
 An R API wrapper for the 'Hystreet' project <https://hystreet.com>.
 'Hystreet' provides pedestrian counts in different cities in Germany.

Package: r-cran-hytest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist
Filename: pool/dists/focal/main/r-cran-hytest_0.1.1-1.ca2004.1_all.deb
Size: 76976
MD5sum: a074716c5d678c48887b93b6b4df4a0b
SHA1: ed6c895678defa1e87fb7aa5d2fd883b124bdb65
SHA256: d820192f1044ae0aaca2840e3f086a86c6153b17afba959f1e30d2edf1bb3925
SHA512: d2bd1fdbc255125d1a71f2ddd1716e7b12f14d5b3b5d58f36399c102ecb441cfb6e0e99518425f198a12bf3bb07e8c8d8d9fe8e4754514b3700ce25f33c70f10
Homepage: https://cran.r-project.org/package=hytest
Description: CRAN Package 'hytest' (Hypothesis Testing Based on Neyman-Pearson Lemma and LikelihoodRatio Test)
 Error type I and Optimal critical values to test statistical hypothesis
 based on Neyman-Pearson Lemma and Likelihood ratio test based on random
 samples from several distributions. The families of distributions are
 Bernoulli, Exponential, Geometric, Inverse Normal, Normal, Gamma, Gumbel,
 Lognormal, Poisson, and Weibull.  This package is an ideal resource to help
 with the teaching of Statistics.  The main references for this package are
 Casella G. and Berger R. (2003,ISBN:0-534-24312-6 , "Statistical Inference.
 Second Edition", Duxbury Press) and Hogg, R., McKean, J., and Craig, A.
 (2019,ISBN:013468699, "Introduction to Mathematical Statistic. Eighth
 edition", Pearson).

Package: r-cran-hzar
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-foreach, r-cran-coda
Filename: pool/dists/focal/main/r-cran-hzar_0.2-5-1.ca2004.1_all.deb
Size: 439328
MD5sum: c0dde0f1ff69001e0d73af7079acb9c1
SHA1: 5aed35b50a5ccd23fa3f520a4bfacfd0232712aa
SHA256: 1159f479a9e3aa128614e535a2ddb4557772f06d2d8cca06a7f20205d7f121c6
SHA512: 9dc973cd7bd384a4b96fa883a828690f0a4e462e7c29d5ff1cbb4c38c39899f73321aaee925ba69b0fcf4148f6ccd9edc741d3dc0c79b0ca79ce7e7d14e28e7a
Homepage: https://cran.r-project.org/package=hzar
Description: CRAN Package 'hzar' (Hybrid Zone Analysis using R)
 A collection of tools for modeling the shape of 1 dimensional clines.

Package: r-cran-i14y
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-tibble, r-cran-readr, r-cran-cli, r-cran-curl, r-cran-rlang
Suggests: r-cran-jsonlite, r-cran-dplyr, r-cran-stringr, r-cran-bfs, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-i14y_0.1.4-1.ca2004.1_all.deb
Size: 101320
MD5sum: ae7b51fef9ef8b0c8de7271db0cd696c
SHA1: 91b80e9af4458faa8eb81cd7ac9cc11204b533a0
SHA256: 862fef14970204efd6ac9361a7e37ad3174bb4e7466e2d3610ecb525f482ec61
SHA512: 2d37f7aa0d44874ad1299ffdd708cc704ae4156d0d9a5289ec6f7ccffb51e15fd4d2793e703c7077e5575e97ea7b51ddd8f86b637ff14f5cb8e5d93122568e28
Homepage: https://cran.r-project.org/package=I14Y
Description: CRAN Package 'I14Y' (Search and Get Data from the I14Y Interoperability Platform ofSwitzerland)
 Search and download Swiss data and metadata from the I14Y interoperability
 platform of Switzerland using its public APIs
 <https://www.i14y.admin.ch/api/index.html>.

Package: r-cran-i18n
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2893
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-i18n_0.2.0-1.ca2004.1_all.deb
Size: 2914544
MD5sum: 627997b71eef28676215062e5c786727
SHA1: 1188a6d2023d7eddd95ee46a677ab563e9c0168a
SHA256: 0f4d0a65ba8eaf9049e6182ac8d901ea38c237854fdcf9d59e0181c2e342c3a3
SHA512: fe717835ae3eac257c9b61ca236e4f0f9921f1e3bf498350b23bc08d3758eb3adfebd87ab6064ccf599dc6e8168c9d36a6c27c9d5cfe2837ee694cc0d9ef855b
Homepage: https://cran.r-project.org/package=i18n
Description: CRAN Package 'i18n' (Internationalization Data from the 'Unicode CLDR' in TabularForm)
 Up-to-date data from the 'Unicode CLDR Project' (where 'CLDR' stands for
 'Common Locale Data Repository') are available here as a series of
 easy-to-parse datasets. Several functions are provided for extracting key
 elements from the tabular datasets.

Package: r-cran-i2dash
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-knitr, r-cran-flexdashboard, r-cran-assertive.sets, r-cran-assertive.types, r-cran-rmarkdown, r-cran-stringr, r-cran-stringi, r-cran-glue, r-cran-ymlthis, r-cran-xfun, r-cran-htmltools
Suggests: r-cran-switchr, r-cran-plotly, r-bioc-biocstyle, r-cran-testthat, r-bioc-complexheatmap, r-cran-digest, r-cran-ggplot2, r-cran-gt, r-cran-kableextra, r-cran-forcats, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-i2dash_0.2.4-1.ca2004.1_all.deb
Size: 207016
MD5sum: 9dec0a6c58fae75b17c54c529ed0fb9f
SHA1: 8b3ade96938af93e2780f496413b575d1539d743
SHA256: d09fe8b95094e0d582eace0c6cb006ae963f7b58b0e8ecb4c39f482b81280247
SHA512: c28f3f401f1b11aac505cb3b4c01930a844cfff4f46a717a87058f31848658dad897dad96feeb907864b7dcb944edeae89fdc783874f14bae8c4dd8eea2d1cce
Homepage: https://cran.r-project.org/package=i2dash
Description: CRAN Package 'i2dash' (Iterative and Interactive Dashboards)
 Create customized, web-based dashboards for data presentation, exploration
 and sharing. 'i2dash' integrates easily into existing data analysis
 pipelines and can organize scientific findings thematically across different
 pages and layouts.

Package: r-cran-i2extras
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-incidence2, r-cran-mass, r-cran-citools, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-tidyr, r-cran-vctrs, r-cran-ggplot2, r-cran-data.table, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-outbreaks, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-i2extras_0.2.1-1.ca2004.1_all.deb
Size: 248096
MD5sum: 6d4cf11fcc88201df2b783d3d60b30ad
SHA1: 235488984abfa818fc0f7cc49413d4355e5861ac
SHA256: 2edc6ab211b9ef998ada4916438fd62c43e01295b6fb98577fae4e96021ccf6b
SHA512: 594ffe88c68c80a07d27f6a92cc4b442e494e2f405d4c6984d6b48c43de7c8a32049d56972da5c4d71f3d60a996dac10fd6f1ee220e658908008ced02bef4f14
Homepage: https://cran.r-project.org/package=i2extras
Description: CRAN Package 'i2extras' (Functions to Work with 'incidence2' Objects)
 Provides functions to work with 'incidence2' objects, including a simplified
 interface for trend fitting and peak estimation. This package is part of the
 RECON (<https://www.repidemicsconsortium.org/>) toolkit for outbreak
 analysis (<https://www.reconverse.org/).

Package: r-cran-i3pack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-gbm, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-stv, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-i3pack_0.1.0-1.ca2004.1_all.deb
Size: 103528
MD5sum: 3a820d098598b438c9c438517a2bb2c2
SHA1: 2a7751192e82591bb730b352b5c6b1c20909a548
SHA256: 13be9004a490e83dae394f00e99db4be4143d89dc1b8c2ecbb2558010f689b85
SHA512: 924d7af42a9b0873540d2b8035d3a24bcc11619a91eeaa8fb5f4f0648fda6d65249c92bfdff9f4bc4558fe482b41db626289307020fb2835df7ecdff0ad8cd94
Homepage: https://cran.r-project.org/package=i3pack
Description: CRAN Package 'i3pack' (Incentives for Inter- And Intra-Party Electoral Competition)
 Suite of functions that help simulate elections under different electoral
 systems, which are then used to compute incentives generated by these
 systems in terms of the inter- and intra-party dimensions of electoral
 competition.

Package: r-cran-iacsspcr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-frf2, r-cran-stringi, r-cran-abind
Filename: pool/dists/focal/main/r-cran-iacsspcr_1.2.1-1.ca2004.1_all.deb
Size: 49528
MD5sum: a39950c9933312b6696a71e5ebcca5cb
SHA1: d7d7aff782918c448b447d754323c7ce4d597586
SHA256: dac5724c90fedb09b24ab44ce71a89918a739f0d014f20dd11e430dcbbd55915
SHA512: bdc439040a5fd5368d78abafa3c58e56a5215f6865e50474aa822c9e73d5ac6c47137f9594fd3507272ac9cf7699758c78d18dadaa21366b37e3078f740e7fde
Homepage: https://cran.r-project.org/package=IAcsSPCR
Description: CRAN Package 'IAcsSPCR' (Data and Functions for "An Intro. to Accept. Samp. & SPC/R")
 Contains data frames and functions used in the book "An Introduction to
 Acceptance Sampling and SPC with R". This book is available electronically
 at <https://bookdown.org/>. A physical copy will be published by CRC Press.

Package: r-cran-iadapt
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iadapt_2.0.1-1.ca2004.1_all.deb
Size: 218868
MD5sum: 61a7ce8b855445a2c2cf085e1ad5f785
SHA1: e92aaaf5997c8cb0ef8e328b243801d08dec8c16
SHA256: 22877cc6999c205c06b77ba5454b72a1ad06e801e8f12657b80243c8bf2e8365
SHA512: e2ae3a3982dd50438627a78e94f9a96467f618af93ebb5211db99674a80358bf67cd9528965193156b756532ca67c6717259e42d45aacd7a4d9eba0e38344216
Homepage: https://cran.r-project.org/package=iAdapt
Description: CRAN Package 'iAdapt' (Two-Stage Adaptive Dose-Finding Clinical Trial Design)
 Simulate and implement early phase two-stage adaptive dose-finding design
 for binary and quasi-continuous toxicity endpoints. See Chiuzan et al.
 (2018) for further reading <DOI:10.1080/19466315.2018.1462727>.

Package: r-cran-iadf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-manipulate, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-dplr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-lazyeval, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iadf_0.1.3-1.ca2004.1_all.deb
Size: 160576
MD5sum: fa3270dd74c90274857b2d8bf391fb3e
SHA1: 35e4e661c236e116f9a6d16b70f7eb6fd5e519d0
SHA256: 704853821de88d67eb95688404ac20e72da7c50f214eedb38af06a71c8255032
SHA512: 69eab61b6d8aadae9e9b0ffa59d05e6aeda1ef2a65f336624fa83452e072c4bbfea645df9fa2387072f08677066f2753f66b81e426fd2901bf1b9c3927cda777
Homepage: https://cran.r-project.org/package=iadf
Description: CRAN Package 'iadf' (Analysis of Intra Annual Density Fluctuations)
 Calculate false ring proportions from data frames of intra annual density
 fluctuations.

Package: r-cran-iadt
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmpfr, r-cran-mgcv, r-cran-rdpack, r-cran-mvnfast
Filename: pool/dists/focal/main/r-cran-iadt_1.2.1-1.ca2004.1_all.deb
Size: 30944
MD5sum: 25a40da389aa80a6f2e8a7dc6503912b
SHA1: 32f48e93d67f2eeb1d2bce144fd12686c7e514a6
SHA256: 058d9ba9dd4f97ac54df9c0cfcd91262f94d6b7c88bb3e7ead018bd4fbda4858
SHA512: d82b1fab563330f5e4d8aa39c1c784b72e7d2c58b01cb954f21c69ed562fca8b101637d131830320a586cb2cbbf0d051cd6128dbaafe8f408d75451ff908c715
Homepage: https://cran.r-project.org/package=IADT
Description: CRAN Package 'IADT' (Interaction Difference Test for Prediction Models)
 Provides functions to conduct a model-agnostic asymptotic hypothesis test
 for the identification of interaction effects in black-box machine learning
 models. The null hypothesis assumes that a given set of covariates does not
 contribute to interaction effects in the prediction model. The test
 statistic is based on the difference of variances of partial dependence
 functions (Friedman (2008) <doi:10.1214/07-AOAS148> and Welchowski (2022)
 <doi:10.1007/s13253-021-00479-7>) with respect to the original black-box
 predictions and the predictions under the null hypothesis. The hypothesis
 test can be applied to any black-box prediction model, and the null
 hypothesis of the test can be flexibly specified according to the research
 question of interest. Furthermore, the test is computationally fast to apply
 as the null distribution does not require resampling or refitting black-box
 prediction models.

Package: r-cran-iai
Architecture: all
Version: 1.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-juliacall, r-cran-stringr, r-cran-rlang, r-cran-lifecycle, r-cran-rappdirs, r-cran-ggplot2, r-cran-cowplot, r-cran-rjson
Suggests: r-cran-testthat, r-cran-covr, r-cran-xml2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-iai_1.10.2-1.ca2004.1_all.deb
Size: 509652
MD5sum: 0ee7f4b7c5c546246fbb01b1f3ef14f8
SHA1: fd39660bf95b304dcaca5836274b73c6efa10210
SHA256: ff7d8f05290bdad0503538b58bab8864c27ae995e829054549e38083c7616d7e
SHA512: 28058f86db2875a591439969fcd2b3ad7c09ad1c91a3fc886a6bd874a7a364cb74ef2879f528428ccf121e398ef940589b08cb173620f4fa79a0216891cc4593
Homepage: https://cran.r-project.org/package=iai
Description: CRAN Package 'iai' (Interface to 'Interpretable AI' Modules)
 An interface to the algorithms of 'Interpretable AI'
 <https://www.interpretable.ai> from the R programming language.
 'Interpretable AI' provides various modules, including 'Optimal Trees' for
 classification, regression, prescription and survival analysis, 'Optimal
 Imputation' for missing data imputation and outlier detection, and 'Optimal
 Feature Selection' for exact sparse regression. The 'iai' package is an
 open-source project. The 'Interpretable AI' software modules are proprietary
 products, but free academic and evaluation licenses are available.

Package: r-cran-ialiquor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4048
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ialiquor_0.1.0-1.ca2004.1_all.deb
Size: 3887848
MD5sum: 4aad1f068bbb614522204373cae2d4cb
SHA1: 2533873ef10dc5ef16de9c0229f0c637ab43dea8
SHA256: 52d96e86d2eec358b08eba39731cbe9f6571e53f8bafae080dd59b7fa3e267ff
SHA512: 274c9d8a64e55428fbc0a394c82fe7bc5545049fa8043329ef33055da79ca2b2f3c11cd5f986c3c93e93c5b9495bd6995e1c0acd6a8c496e7175e916d0009152
Homepage: https://cran.r-project.org/package=ialiquor
Description: CRAN Package 'ialiquor' (Monthly Iowa Liquor Sales Summary)
 Provides a monthly summary of Iowa liquor (class E) sales from January 2015
 to October 2020. See the package website for more information, documentation
 and examples. Data source: Iowa Data portal
 <https://data.iowa.gov/resource/m3tr-qhgy.csv>.

Package: r-cran-ials
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rspectra, r-cran-pracma, r-cran-hdmfa
Filename: pool/dists/focal/main/r-cran-ials_0.1.3-1.ca2004.1_all.deb
Size: 29232
MD5sum: 95eb34ab537983bea2ca9a0c02bb6b7d
SHA1: 656dc51f81ace4ae9815f6958a7810398033d26f
SHA256: 288adc2abaa1d7ac8170a16b806f97cd2fbca95476d57cd11729d3df2cd33362
SHA512: 1e9694c5e7ba8156bdba5ec580f4eecf800ae6c3411266f392f206cc3c191f43badcc3ba9792b0cc6515a0c9163215cb0e5451ed8c47fc4d3c498ca848da21f7
Homepage: https://cran.r-project.org/package=IALS
Description: CRAN Package 'IALS' (Iterative Alternating Least Square Estimation forLarge-Dimensional Matrix Factor Model)
 The matrix factor model has drawn growing attention for its advantage in
 achieving two-directional dimension reduction simultaneously for
 matrix-structured observations. In contrast to the Principal Component
 Analysis (PCA)-based methods, we propose a simple Iterative Alternating
 Least Squares (IALS) algorithm for matrix factor model, see the details in
 He et al. (2023) <arXiv:2301.00360>.

Package: r-cran-iarm
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-erm, r-cran-ggplot2, r-cran-gridextra, r-cran-hmisc, r-cran-psychotools, r-cran-vcdextra
Filename: pool/dists/focal/main/r-cran-iarm_0.4.3-1.ca2004.1_all.deb
Size: 167904
MD5sum: 58017dfa27d31dc2a5c27f9191a1246b
SHA1: af86a91ef18304679d3435ea0c82cc5000e73d04
SHA256: 0743aaca9c9d2f4f3cdd6fadaa0da36dd55ad7fbde52b6b5ea2c2a83d4724f7d
SHA512: 93f9d3f82edf989a037a20c074e7f21ad554b6bc54924fbba03744f56d177c56c5db59654306d57e5d0c5f4c41730720ad3acb02c854d5e7a1e0b54959619d8a
Homepage: https://cran.r-project.org/package=iarm
Description: CRAN Package 'iarm' (Item Analysis in Rasch Models)
 Tools to assess model fit and identify misfitting items for Rasch models
 (RM) and partial credit models (PCM). Included are item fit statistics, item
 characteristic curves, item-restscore association, conditional likelihood
 ratio tests, assessment of measurement error, estimates of the reliability
 and test targeting as described in Christensen et al. (Eds.) (2013,
 ISBN:978-1-84821-222-0).

Package: r-cran-iasd
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iasd_1.1.1-1.ca2004.1_all.deb
Size: 33796
MD5sum: 88a2c1cfabbd5eadb087e4956ca2f69e
SHA1: 791b3340732a9682832514007a1cbc323116ccd8
SHA256: 1f04d14d560318c872db7ddb64ea85205eaa8f1beb7bff4c26a8f6d04a7a32e9
SHA512: 2fd12872eec4a7dfe77cfe00c906dc865fde68108a6445d551c6c28904e965e6ad595c4507fdc16f320e3d1a5d6d57b095cd625226338b94d7da27df6a450c2d
Homepage: https://cran.r-project.org/package=IASD
Description: CRAN Package 'IASD' (Model Selection for Index of Asymmetry Distribution)
 Calculate AIC's and AICc's of unimodal model (one normal distribution) and
 bimodal model(a mixture of two normal distributions) which fit the
 distribution of indices of asymmetry (IAS), and plot their density, to help
 determine IAS distribution is unimodal or bimodal.

Package: r-cran-iat
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval
Filename: pool/dists/focal/main/r-cran-iat_0.3-1.ca2004.1_all.deb
Size: 79980
MD5sum: 72dc7c8ee4bf3ea5e1dcbab0bc8a329c
SHA1: c1aee1573bc8bdc27bf143d914ba42bec5d2f21c
SHA256: 1fd80b2bfa22c8a4bab5ec856295bcae692ecb734a9c1e7d2cbbc3f77b6ebb90
SHA512: 19a02e29048835d0723aa42dc0edd642bdd7105069cd9c673edf25bb28b58bd1879340b4859f3a5cc4ddd431b93600505476c816c6e3253e70ae3023bd69a770
Homepage: https://cran.r-project.org/package=IAT
Description: CRAN Package 'IAT' (Cleaning and Visualizing Implicit Association Test (IAT) Data)
 Implements the standard D-Scoring algorithm (Greenwald, Banaji, & Nosek,
 2003) for Implicit Association Test (IAT) data and includes plotting
 capabilities for exploring raw IAT data.

Package: r-cran-iatanalytics
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iatanalytics_0.2.0-1.ca2004.1_all.deb
Size: 25064
MD5sum: c9f5feefbef4fc6593a4cbff25e15dfa
SHA1: c39d0532cd6947914234bcfa258cf154bfa22a8d
SHA256: d82d9d1279e26892675025b3c9086d0325aa23a0bb2e5b087301928780ab37da
SHA512: 420617f2fc4720cd3cac21259fab7230130b6661ff5123b30268432bec16514696c531c44159e5df5c6b86d1c41fb8ebd5a1ef5bd70493b5e1b3b521b688c942
Homepage: https://cran.r-project.org/package=IATanalytics
Description: CRAN Package 'IATanalytics' (Compute Effect Sizes and Reliability for Implicit AssociationTest (IAT) Data)
 Quickly score raw data outputted from an Implicit Association Test (IAT;
 Greenwald, McGhee, & Schwartz, 1998) <doi:10.1037/0022-3514.74.6.1464>. IAT
 scores are calculated as specified by Greenwald, Nosek, and Banaji (2003)
 <doi:10.1037/0022-3514.85.2.197>.  The output of this function is a data
 frame that consists of four rows containing the following information: (1)
 the overall IAT effect size for the participant's dataset, (2) the effect
 size calculated for odd trials only, (3) the effect size calculated for even
 trials only, and (4) the proportion of trials with reaction times under
 300ms (which is important for exclusion purposes). Items (2) and (3) allow
 for a measure of the internal consistency of the IAT. Specifically, you can
 use the subsetted IAT effect sizes for odd and even trials to calculate
 Cronbach's alpha across participants in the sample.  The input function
 consists of three arguments. First, indicate the name of the dataset to be
 analyzed. This is the only required input. Second, indicate the number of
 trials in your entire IAT (the default is set to 220, which is typical for
 most IATs). Last, indicate whether congruent trials (e.g., flowers and
 pleasant) or incongruent trials (e.g., guns and pleasant) were presented
 first for this participant (the default is set to congruent).  Data files
 should consist of six columns organized in order as follows: Block (0-6),
 trial (0-19 for training blocks, 0-39 for test blocks), category (dependent
 on your IAT), the type of item within that category (dependent on your IAT),
 a dummy variable indicating whether the participant was correct or incorrect
 on that trial (0=correct, 1=incorrect), and the participant’s reaction time
 (in milliseconds).  A sample dataset (titled 'sampledata') is included in
 this package to practice with.

Package: r-cran-iatscore
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iatscore_0.2.0-1.ca2004.1_all.deb
Size: 24484
MD5sum: cf5d397f88ec24da0a399815e28ca3f1
SHA1: 60c9a67e9c7f7d7be6cce619757b85477eef4f85
SHA256: 8df0b0edc66ba5ab5ef5742a12c5153e7e4811529254fbc236f14c4d2a0fd5d3
SHA512: 39bf9847f76b0a1724e4a4df784b947636f7dcc6ac7bebde5b2087050eca273fd0635c5048c425ff67b7a9c316ff997e09326deea29c54ccc1ce02c08079c12a
Homepage: https://cran.r-project.org/package=IATScore
Description: CRAN Package 'IATScore' (Scoring Algorithm for the Implicit Association Test (IAT))
 This minimalist package is designed to quickly score raw data outputted from
 an Implicit Association Test (IAT; Greenwald, McGhee, & Schwartz, 1998)
 <doi:10.1037/0022-3514.74.6.1464>. IAT scores are calculated as specified by
 Greenwald, Nosek, and Banaji (2003) <doi:10.1037/0022-3514.85.2.197>.
 Outputted values can be interpreted as effect sizes. The input function
 consists of three arguments. First, indicate the name of the dataset to be
 analyzed. This is the only required input. Second, indicate the number of
 trials in your entire IAT (the default is set to 219, which is typical for
 most IATs). Last, indicate whether congruent trials (e.g., flowers and
 pleasant) or incongruent trials (e.g., guns and pleasant) were presented
 first for this participant (the default is set to congruent). The script
 will tell you how long it took to run the code, the effect size for the
 participant, and whether that participant should be excluded based on the
 criteria outlined by Greenwald et al. (2003). Data files should consist of
 six columns organized in order as follows: Block (0-6), trial (0-19 for
 training blocks, 0-39 for test blocks), category (dependent on your IAT),
 the type of item within that category (dependent on your IAT), a dummy
 variable indicating whether the participant was correct or incorrect on that
 trial (0=correct, 1=incorrect), and the participant’s reaction time (in
 milliseconds). Three sample datasets are included in this package (labeled
 'IAT', 'TooFastIAT', and 'BriefIAT') to practice with.

Package: r-cran-iatscores
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-reshape2, r-cran-qgraph
Suggests: r-cran-nparcomp
Filename: pool/dists/focal/main/r-cran-iatscores_0.2.8-1.ca2004.1_all.deb
Size: 106800
MD5sum: 320a286fc0b9630bb06b9f70ff21dfe9
SHA1: c54b9bc3ba7b7221e01d0c36e115c3b4a72d9dc6
SHA256: 7426c92266c06a7335cd8502de1d59c538e818671b3ac2c67b92fd338a001c06
SHA512: cddcd0f4b7861d2f9b7fa9eeaea21038ce6bbe66d735a5a235ace2fcc797f2a28cd2f983525b390982bbade1e826505d5b2cc56ab661311b18ef030062c0d356
Homepage: https://cran.r-project.org/package=IATscores
Description: CRAN Package 'IATscores' (Implicit Association Test Scores Using Robust Statistics)
 Compute several variations of the Implicit Association Test (IAT) scores,
 including the D scores (Greenwald, Nosek, Banaji, 2003,
 <doi:10.1037/0022-3514.85.2.197>) and the new scores that were developed
 using robust statistics (Richetin, Costantini, Perugini, and Schonbrodt,
 2015, <doi:10.1371/journal.pone.0129601>).

Package: r-cran-ib
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 871
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-betareg, r-cran-lme4, r-cran-formula, r-cran-mass, r-cran-matrix, r-cran-rdpack, r-cran-vgam
Suggests: r-cran-testthat, r-cran-knitr, r-cran-nlraa, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ib_0.2.0-1.ca2004.1_all.deb
Size: 555496
MD5sum: c1806722d9f723e21421c6ba0f893fd8
SHA1: 3a593461a78a65b375ec394e098d2f4a2b88ce87
SHA256: a338e7ce81749dc8555672aeaa55705c8551e99c22aacdf7eaf273c953731241
SHA512: 251efc6fe67d00e2405e297a754ca4b30d7b22fbce6960c520c8084f9d25879af8f6614e66cbdd988de8f281982aba6f564d4674532cf7feb6b199f801057191
Homepage: https://cran.r-project.org/package=ib
Description: CRAN Package 'ib' (Bias Correction via Iterative Bootstrap)
 An implementation of the iterative bootstrap procedure of Kuk (1995)
 <doi:10.1111/j.2517-6161.1995.tb02035.x> to correct the estimation bias of a
 fitted model object. This procedure has better bias correction properties
 than the bootstrap bias correction technique.

Package: r-cran-ibart
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bartmachine, r-cran-glmnet, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-ibart_1.0.0-1.ca2004.1_all.deb
Size: 514620
MD5sum: 83af75f9bc97e43b459d86d839575f0e
SHA1: 08443679b966cab8316e34195e4e4fd3a673d0ec
SHA256: bb62d57537bf70b4cb05c04999a863cf94420f0d5553f4c00e6f8b555ca8fe97
SHA512: 41cadc0f58e94a2a7fe7a51e1f61c4bf8944c987a4da7d39120ac2a736b382f375b6a4788087055e50327d3d8df1255d5f3a33fb5ff3558452a4f030f27e1782
Homepage: https://cran.r-project.org/package=iBART
Description: CRAN Package 'iBART' (Iterative Bayesian Additive Regression Trees DescriptorSelection Method)
 A statistical method based on Bayesian Additive Regression Trees with Global
 Standard Error Permutation Test (BART-G.SE) for descriptor selection and
 symbolic regression. It finds the symbolic formula of the regression
 function y=f(x) as described in Ye, Senftle, and Li (2023)
 <arXiv:2110.10195>.

Package: r-cran-ibawds
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dslabs, r-cran-rlang, r-cran-rstudioapi, r-cran-remotes, r-cran-ggplot2, r-cran-tidyr, r-cran-readr, r-cran-scales, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-magrittr, r-cran-cli
Suggests: r-cran-tidyverse, r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra, r-cran-caret, r-cran-party, r-cran-rann, r-cran-ranger, r-cran-reshape2, r-cran-lubridate, r-cran-hexbin, r-cran-patchwork, r-cran-ggrepel, r-cran-ggally, r-cran-ggfortify, r-cran-deldir, r-cran-writexl, r-cran-cowplot, r-cran-dt, r-cran-gutenbergr, r-cran-tidytext, r-cran-lahman, r-cran-histdata, r-cran-titanic, r-cran-biocmanager, r-cran-waldo, r-cran-rvest, r-cran-clvalid, r-cran-styler, r-cran-usethis, r-cran-vdiffr, r-cran-testthat, r-cran-httr2, r-cran-covr, r-cran-spelling, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ibawds_1.1.0-1.ca2004.1_all.deb
Size: 366724
MD5sum: d77bde64b32fb5a9d1f1b36b8ed4acce
SHA1: 4af036db14889c473193ce5bba2dab219b2e635f
SHA256: 5d971c461b29ae706e398d9db927b8b0adcd06e5fa1ab952bbba30d905fbcd31
SHA512: a5bb3f69e5b22b5ceb94077bfc2a8b022120a530e3ad9e5651af5c1801a29bc518c81905fd3c75a10184c3ce9bb7e6269583f90b1cab02fdd9698af133b307de
Homepage: https://cran.r-project.org/package=ibawds
Description: CRAN Package 'ibawds' (Functions and Datasets for the Data Science Course at IBAW)
 A collection of useful functions and datasets for the Data Science Course at
 IBAW.

Package: r-cran-ibb
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-rlang, r-cran-magrittr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-covr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ibb_0.0.2-1.ca2004.1_all.deb
Size: 86436
MD5sum: e7d1a01ddcd8d1f03d5bad6737b7c122
SHA1: e02f83d5f58e95c0492c193bbef37d128b54d087
SHA256: 67d9ad9a7f6ac4b24b617795449e2aa389b0fff02d053424629823a8233ad5a7
SHA512: 16297318bfa42475fa571147176104ebf1fb01473c578abd3cf82fc35d7ecb70426b411f934f4046104e2d953d5b1477f9c48983958596e52c2fbd5c5a746c39
Homepage: https://cran.r-project.org/package=ibb
Description: CRAN Package 'ibb' (R Wrapper for Istanbul Municipality Open Data Portal)
 Call wrappers for Istanbul Metropolitan Municipality's Open Data Portal
 (Turkish: İstanbul Büyükşehir Belediyesi Açık Veri Portalı) at
 <https://data.ibb.gov.tr/en/>.

Package: r-cran-ibcf.mtme
Architecture: all
Version: 1.6-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lsa, r-cran-tidyr, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ibcf.mtme_1.6-0-1.ca2004.1_all.deb
Size: 89828
MD5sum: f41ea4436120bba539d0be3e9741ce44
SHA1: c6aea915794e88d17826cad40f99f0e02aeb0f0a
SHA256: 180bdb282fbc38bfa6e05c823e2deeca1c670299850d54184809261b88a4ecb5
SHA512: 90f407918e9c44d093aceea7ee8823ad44482600119b4d659d88d0f9d603db138d676d8a059c331ae37ac6b7087f63179169e5dc6ac80fa0d4d3b7b8fc357277
Homepage: https://cran.r-project.org/package=IBCF.MTME
Description: CRAN Package 'IBCF.MTME' (Item Based Collaborative Filtering for Multi-Trait andMulti-Environment Data)
 Implements the item based collaborative filtering (IBCF) method for
 continues phenotypes in the context of plant breeding where data are
 collected for various traits that were studied in various environments
 proposed by Montesinos-López et al. (2017) <doi:10.1534/g3.117.300309>.

Package: r-cran-ibd
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolve, r-cran-car, r-cran-emmeans, r-cran-multcomp
Suggests: r-cran-multcompview
Filename: pool/dists/focal/main/r-cran-ibd_1.6-1.ca2004.1_all.deb
Size: 122660
MD5sum: 82832fe42ca1a4473653ef4a95e49e23
SHA1: ec73ed8bd33f129a91276a7084ac3b1819da3c2f
SHA256: 72660d0e12dc6dc8e8a8b5e2944edcd1b0d42c6cc1b747b5106922ea7d9665cb
SHA512: e3e7681ce8ffb492b8028ae3b8f5dad51ded9ba9cf34a1598cd79c1670e7278ce844c64904e8b7c206c9ae1e0eaf3b61e2642902b9cb4de67779b250fd5b1b93
Homepage: https://cran.r-project.org/package=ibd
Description: CRAN Package 'ibd' (Incomplete Block Designs)
 A collection of several utility functions related to binary incomplete block
 designs. Contains function to generate A- and D-efficient binary incomplete
 block designs with given numbers of treatments, number of blocks and block
 size. Contains function to generate an incomplete block design with
 specified concurrence matrix. There are functions to generate balanced
 treatment incomplete block designs and incomplete block designs for test
 versus control treatments comparisons with specified concurrence matrix.
 Allows performing analysis of variance of data and computing estimated
 marginal means of factors from experiments using a connected incomplete
 block design. Tests of hypothesis of treatment contrasts in incomplete block
 design set up is supported.

Package: r-cran-ibdhaplortools
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 438
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ibdhaplortools_1.8-1.ca2004.1_all.deb
Size: 354424
MD5sum: 08f5c528dcf3cb11369e9935649235d9
SHA1: 2edd6b9c43f850fbdaa6b8eb1cfcbbfe4171ecab
SHA256: 2f9f7d9d51c8da11d37cfa234bdeea91135d0cc2170f11b0975b9a73d4a6d193
SHA512: 5b5e46c75726e77e804a6ace9a1b8f2e903e0108296a8e86b9307a4b9a7c28a82651dc7f0e5279960958aad7e2ffc582aceb6a8c71a222db2df461d9dcab199e
Homepage: https://cran.r-project.org/package=IBDhaploRtools
Description: CRAN Package 'IBDhaploRtools' (Functions for the Analysis of IBD Haplo Output)
 Functions to analyze, plot, and store the output of running IBD_Haplo
 software package. More information regarding IBD_Haplo can be found at
 http://www.stat.washington.edu/thompson/Genepi/pangaea.shtml.

Package: r-cran-ibdinfer
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crossdes, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ibdinfer_0.0.1-1.ca2004.1_all.deb
Size: 34440
MD5sum: 777d370ca7556d566ee48723545bb5ae
SHA1: 0ef0c43d1b11d41d7e7b3acc5a4b8cbf935b985e
SHA256: 1b42283df697d72205c7de9286686927fa3623ccd6c968c3390b3a607ece17d4
SHA512: e5aec0cd39ec48103b5f498cf708544df2ae6d5bd86fc387a74c288e5d2937ea52920cfab17dc0ef3bc93302bdcd1b871de0d1e3c3a5a93af33a2d77b5a4103e
Homepage: https://cran.r-project.org/package=IBDInfer
Description: CRAN Package 'IBDInfer' (Design-Based Causal Inference Method for Incomplete BlockDesigns)
 This R package implements methods for estimation and inference under
 Incomplete Block Designs and Balanced Incomplete Block Designs within a
 design-based finite-population framework. Based on 'Koo and Pashley' (2024)
 <arXiv:2405.19312>, it includes block-level estimators and extends to
 unit-level effects using 'Horvitz-Thompson' and 'Hájek' estimators. The
 package also provides asymptotic confidence intervals to support valid
 statistical inference.

Package: r-cran-ibdlabels
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ibdlabels_1.1-1.ca2004.1_all.deb
Size: 150424
MD5sum: 1983b945192da4638e9454b095a1793c
SHA1: 653e040702b19492cf428051822515c6820ad4ae
SHA256: 1b5b50e3cc024419082c3c950e697f10c65e27f9811b4711a0c9227a25765c9b
SHA512: 40d5179091185e0da5f64708f6b61712b336cba7c6e4e87b3896bcbeaf93af973ba60b32d3f984e4c24972922883c9468216418ec00acd3154dd7a318e80f725
Homepage: https://cran.r-project.org/package=IBDLabels
Description: CRAN Package 'IBDLabels' (Convert Between Different IBD-State Labelling Schemes)
 Convert "label", "lexicographic", "jacquard" and "vec", full state
 description vector. All conversions are done to and from "label", as used in
 IBD_Haplo. More information regarding IBD_Haplo can be found at
 http://www.stat.washington.edu/thompson/Genepi/pangaea.shtml.

Package: r-cran-ibeemd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-deldir, r-cran-rgeos, r-cran-sp, r-cran-spdep
Suggests: r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-ibeemd_1.0.1-1.ca2004.1_all.deb
Size: 86276
MD5sum: 9ae48a4beb242b9b05dd24879976db99
SHA1: 4ce0507c23d6afa1da12656ebd69ba2b1fb149ae
SHA256: 649b34b42207ee4248adfd3cb2db9a15fabe63c85703de0aff42ea1a087a6f17
SHA512: d38aad5f528e39ad1951c1bd67e9793eacaec622944160ab11c56257b85d861f2e4b81837568b090053a7852f6d67340546b74e31615a3c5c48f8efd928be72e
Homepage: https://cran.r-project.org/package=ibeemd
Description: CRAN Package 'ibeemd' (Irregular-lattice based ensemble empirical mode decomposition)
 A data-driven and adaptive hierarchical-scale decomposition method for
 irregular-lattice field (represented by polygons).

Package: r-cran-ibelief
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ibelief_1.3.1-1.ca2004.1_all.deb
Size: 86536
MD5sum: 340881c0991fcc92486049ec2324999c
SHA1: 872f5dd917615946fcf1466f8474e8821e869700
SHA256: 89a06ff924ba267387035eef71be5906deb2cddac93768e4a94dcd574d53961e
SHA512: 6fe161d5239fc922b34d4088e8d0b8849796181f38ab82831ac3133e7701079e752aaecf9fdf4cd537a89f1250620bfdd180ef2e8110ad70ef9b9193458859c1
Homepage: https://cran.r-project.org/package=ibelief
Description: CRAN Package 'ibelief' (Belief Function Implementation)
 Some basic functions to implement belief functions including: transformation
 between belief functions using the method introduced by Philippe Smets
 <arXiv:1304.1122>, evidence combination, evidence discounting,
 decision-making, and constructing masses. Currently, thirteen combination
 rules and six decision rules are supported. It can also be used to generate
 different types of random masses when working on belief combination and
 conflict management.

Package: r-cran-ibfs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ibfs_1.0.0-1.ca2004.1_all.deb
Size: 30792
MD5sum: cf47049bbd9e0f13a120ca6a39cb4e10
SHA1: 541bdb10ca589b81395db5c97a439a293c4a0ac5
SHA256: 1c3725564a2e7ac6bd535539d3f0eab75b6f7ab286227d4d1a5819a4825c731b
SHA512: ea3a9e6fbdd6f60cbfc8e6c18aa4f1c081ac35a2f5d865bea572a1fae6e8a1731cfa1447621a439796d92cee57e89403bfe3bc5ce248c719f8181733f1d1e1c4
Homepage: https://cran.r-project.org/package=IBFS
Description: CRAN Package 'IBFS' (Initial Basic Feasible Solution for Transportation Problem)
 The initial basic feasible solution (IBFS) is a significant step to achieve
 the minimal total cost (optimal solution) of the transportation problem.
 However, the existing methods of IBFS do not always provide a good feasible
 solution which can reduce the number of iterations to find the optimal
 solution. This initial basic feasible solution can be obtained by using any
 of the following methods.  a) North West Corner Method.  b) Least Cost
 Method.  c) Row Minimum Method.  d) Column Minimum Method.  e) Vogel's
 Approximation Method.  etc.  For more technical details about the algorithms
 please refer below URLs.
 <https://theintactone.com/2018/05/24/ds-u2-topic-8-transportation-problems-initial-basic-feasible-solution/>.
 <https://www.brainkart.com/article/Methods-of-finding-initial-Basic-Feasible-Solutions_39037/>.
 <https://myhomeworkhelp.com/row-minima-method/>.
 <https://myhomeworkhelp.com/column-minima-method/>.

Package: r-cran-ibmacousticr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ibmacousticr_0.2.1-1.ca2004.1_all.deb
Size: 38016
MD5sum: 7d5ef3f0cde0a089b2d327215fbc0c01
SHA1: 2f700e112e37cc210d5398a583b563e86eb13044
SHA256: e1b9ba660b35b41c0b297a9ab65b348a000cc70599b84e3e37990b15592489ee
SHA512: 48dfab35c0d9eaa62da5c012b85bc0d753370f6db16e753923e381a912ad76a643b12303708e87b7962a86a56c2307b6dc33c1e09329141099210f7e055b4760
Homepage: https://cran.r-project.org/package=ibmAcousticR
Description: CRAN Package 'ibmAcousticR' (Connect to Your 'IBM Acoustic' Data)
 Authentication can be the most difficult part about working with a new API.
 'ibmAcousticR' facilitates making a connection to the 'IBM Acoustic' email
 campaign management API and executing various queries. The 'IBM Acoustic'
 API documentation is available at
 <https://developer.ibm.com/customer-engagement/docs/>. This package is not
 supported by 'IBM'.

Package: r-cran-ibmdbr
Architecture: all
Version: 1.51.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1426
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rodbc, r-cran-matrix, r-cran-arules, r-cran-mass, r-cran-rpart, r-cran-rpart.plot
Suggests: r-cran-ggplot2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ibmdbr_1.51.0-1.ca2004.1_all.deb
Size: 1084864
MD5sum: 05fbf5e31427e117267826ebf6bc9502
SHA1: 25613c5713c059486d2cddb851aa580d85c4d6b9
SHA256: ab29f9c77c5ecbac31185f1d5786aa6885ec58e84cd902c9bad8d908fb6b4cb8
SHA512: 938f1ec29b6d5e0b7c6e76e998c387c5b0e92ed0d480b43eaef4e746ea9856d1e232a68a20e5c8481129a59ab0da376ecf711343030545f91af599c4a95421ff
Homepage: https://cran.r-project.org/package=ibmdbR
Description: CRAN Package 'ibmdbR' (IBM in-Database Analytics for R)
 Functionality required to efficiently use R with IBM(R) Db2(R) Warehouse
 offerings (formerly IBM dashDB(R)) and IBM Db2 for z/OS(R) in conjunction
 with IBM Db2 Analytics Accelerator for z/OS.  Many basic and complex R
 operations are pushed down into the database, which removes the main memory
 boundary of R and allows to make full use of parallel processing in the
 underlying database.  For executing R-functions in a multi-node environment
 in parallel the idaTApply() function requires the 'SparkR' package
 (<https://spark.apache.org/docs/latest/sparkr.html>).  The optional
 'ggplot2' package is needed for the plot.idaLm() function only.

Package: r-cran-ibmsunburst
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1244
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ibmsunburst_0.1.4-1.ca2004.1_all.deb
Size: 317856
MD5sum: c7eea81bc016b61459527ede028d72ce
SHA1: 2ad0ec1fe4a3e80f95709ee146d1e53fe288a2cf
SHA256: d5abbbfc6b037ada7b03431e42b9e80345cb977319a6a3000b10b89776c461fb
SHA512: bcbc8f890aa7c8a3e8f1ffd5a1957c0058e4a2d59d2c660feab29ace6700489ec8d1948d227db6bfd14b1e6c57fba39377f7f2134556b71c463a6d47cae1b7ec
Homepage: https://cran.r-project.org/package=ibmsunburst
Description: CRAN Package 'ibmsunburst' (Generate Personality Insights Sunburst Diagrams)
 Generates Personality Insights sunburst diagrams based on 'IBM Watson'
 Personality Insights service output.

Package: r-cran-ibreakdown
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-dalex, r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-e1071, r-cran-ranger, r-cran-nnet, r-cran-testthat, r-cran-r2d3, r-cran-jsonlite, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ibreakdown_2.1.2-1.ca2004.1_all.deb
Size: 431884
MD5sum: d5d8c5acc7dfed4ccfdfebd10eec7b77
SHA1: bf6a91fbcdc7df8e3e348309e2852d2a82a6d7b3
SHA256: 04579710b0c4d682c33e6116d7183e31f4aa342a6b9eddbaf2001938fed822ae
SHA512: 593690d951e175558fbcd7e66e9d77dd1dc9c03f7200fe08a5febff9d2309b82639fc05678c12fa88034d872ae4425fac9cc7dace7443dd03ab32e1c144bbcf6
Homepage: https://cran.r-project.org/package=iBreakDown
Description: CRAN Package 'iBreakDown' (Model Agnostic Instance Level Variable Attributions)
 Model agnostic tool for decomposition of predictions from black boxes.
 Supports additive attributions and attributions with interactions.  The
 Break Down Table shows contributions of every variable to a final
 prediction.  The Break Down Plot presents variable contributions in a
 concise graphical way.  This package works for classification and regression
 models.  It is an extension of the 'breakDown' package (Staniak and Biecek
 2018) <doi:10.32614/RJ-2018-072>, with new and faster strategies for
 orderings.  It supports interactions in explanations and has interactive
 visuals (implemented with 'D3.js' library).  The methodology behind is
 described in the 'iBreakDown' article (Gosiewska and Biecek 2019)
 <arXiv:1903.11420> This package is a part of the 'DrWhy.AI' universe (Biecek
 2018) <arXiv:1806.08915>.

Package: r-cran-ibrokers
Architecture: all
Version: 0.10-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 757
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-ibrokers_0.10-2-1.ca2004.1_all.deb
Size: 505356
MD5sum: f523c3c0e03234b6441b1a8ebc05b50f
SHA1: 1c7572c4575650ef5b51e0aa154fb3b9e3faba23
SHA256: 1293e31b0b08cf7599965ca1d9df9bace2cba11b7c3e4bdd5c8a29f3034847bd
SHA512: 2ad6bd7b08997bd0110ddaa337d0f5dd6e8bb589ddb1442fb5edb58abc7f3928bf0157a7e993f941cdd5bf6429d6165f4c53f2717c915ebfe24284883fd8c879
Homepage: https://cran.r-project.org/package=IBrokers
Description: CRAN Package 'IBrokers' (R API to Interactive Brokers Trader Workstation)
 Provides native R access to Interactive Brokers Trader Workstation API.

Package: r-cran-ibrtools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-data.table, r-cran-gtools, r-cran-tidyr, r-cran-fmsb, r-cran-binhf, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ibrtools_0.1.3-1.ca2004.1_all.deb
Size: 56616
MD5sum: 8abfdcab59dbd251268eff70ee5e9965
SHA1: 6ada519457679dca2596d9eeb8f48178f71c43a8
SHA256: fa0a7a5d442bf6974d90fa88796bfa3a5a1228706924d4e3be329ba03b04b349
SHA512: 9dbb94860937e017d85b38af0e18ef0fa583c2d11124ec586a889fbf53f09459d4be14dba57c7df84555095506f3c615c2d3874455bbb18376cc7ae01e2030e3
Homepage: https://cran.r-project.org/package=IBRtools
Description: CRAN Package 'IBRtools' (Integrating Biomarker-Based Assessments and Radarchart Creation)
 Several functions to calculate two important indexes (IBR (Integrated
 Biomarker Response) and IBRv2 (Integrated Biological Response version 2)),
 it also calculates the standardized values for enzyme activity for each
 index, and it has a graphing function to perform radarplots that make great
 data visualization for this type of data. Beliaeff, B., & Burgeot, T.
 (2002). <https://pubmed.ncbi.nlm.nih.gov/12069320/>. Sanchez, W., Burgeot,
 T., & Porcher, J.-M. (2013).<doi:10.1007/s11356-012-1359-1>. Devin, S.,
 Burgeot, T., Giambérini, L., Minguez, L., & Pain-Devin, S. (2014).
 <doi:10.1007/s11356-013-2169-9>. Minato N. (2022).
 <https://minato.sip21c.org/msb/>.

Package: r-cran-ic.infer
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quadprog, r-cran-mvtnorm, r-cran-boot, r-cran-kappalab
Suggests: r-cran-relaimpo
Filename: pool/dists/focal/main/r-cran-ic.infer_1.1-7-1.ca2004.1_all.deb
Size: 329984
MD5sum: b80a34e6f6ea47ec18e65dad54bf47f7
SHA1: a35e8d62e727e1d6bce5cec2d920ac423232776d
SHA256: b6a68052a9e8c330736ca08a6a41a2df5f366b9f8e57cba284aed66584f33264
SHA512: 89cc623d2aad2fb83b01d483ce49ecd7641b2f434041e49bb74e70e2680cd0e6ef9214bcc7df649f1ddbdf10a2e713ce70db2c97e111a0a53f2cbcc59906d37c
Homepage: https://cran.r-project.org/package=ic.infer
Description: CRAN Package 'ic.infer' (Inequality Constrained Inference in Linear Normal Situations)
 Implements inequality constrained inference. This includes parameter
 estimation in normal (linear) models under linear equality and inequality
 constraints, as well as normal likelihood ratio tests involving
 inequality-constrained hypotheses. For inequality-constrained linear models,
 averaging over R-squared for different orderings of regressors is also
 included.

Package: r-cran-ic10
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pamr, r-bioc-impute, r-cran-ic10trainingdata
Filename: pool/dists/focal/main/r-cran-ic10_2.0.2-1.ca2004.1_all.deb
Size: 78188
MD5sum: 3b07c9de60d1b5d3dc4a0836a9237298
SHA1: 05f83a434c1cb3fb9bacb963550ce8ebef5a1030
SHA256: 19e3fb71abc14903a518a69021b4058b36c13888e437bada11a9acfd2c910d25
SHA512: a6e1d25581f391adce36b52d2b14ccfb3d3b24151dcc079290ff1f5cdcbe52ef8d4c0b0b5e18a21907ad5d5e0932b8ed369637673798d90a203b886229a65d9b
Homepage: https://cran.r-project.org/package=iC10
Description: CRAN Package 'iC10' (A Copy Number and Expression-Based Classifier for Breast Tumours)
 Implementation of the classifier described in the paper Ali HR et al (2014)
 <doi:10.1186/s13059-014-0431-1>. It uses copy number and/or expression form
 breast cancer data, trains a Tibshirani's 'pamr' classifier with the
 features available and predicts the iC10 group.

Package: r-cran-ic10trainingdata
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5764
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ic10trainingdata_2.0.1-1.ca2004.1_all.deb
Size: 5856372
MD5sum: 5528e7ce62d883e532b19c03257ee440
SHA1: 1f360184c5f68dc2f7eb077e2dfce33029269fb1
SHA256: e44e7b3fde01da7ceb8861c33f24df333cb3593c93ce6eb4a657db394969ee19
SHA512: cc6f4fbb2f925ea647b8d481cbb6393e8b2488d04b409ee4b315c07f80359de2aa7446d23e9745e77e988dd69bb56d7ff451f1b7175d9d4c3eaa2d0a8793ca61
Homepage: https://cran.r-project.org/package=iC10TrainingData
Description: CRAN Package 'iC10TrainingData' (Training Datasets for iC10 Package)
 Training datasets for iC10; which implements the classifier described in the
 paper 'Genome-driven integrated classification of breast cancer validated in
 over 7,500 samples' (Ali HR et al., Genome Biology 2014). It uses copy
 number and/or expression form breast cancer data, trains a pamr classifier
 (Tibshirani et al.) with the features available and predicts the iC10 group.
 Genomic annotation for the training dataset has been obtained from Mark
 Dunning's lluminaHumanv3.db package.

Package: r-cran-ica
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ica_1.0-3-1.ca2004.1_all.deb
Size: 85348
MD5sum: b2d08f2869c901381fffb3c04053839c
SHA1: 2e70245dd3a4af4cde581f0a69819e50c65cb8c5
SHA256: ddf728dbd4a18acd36fa0d1b9033f9e64d359691fc5137f14f96e11105acaec6
SHA512: e30c1ab83a5890b2cdb5f5453afe30fb45e4aed9df0e511116e343113614e980804b2423c7857ffd955c1bbf5c56d2346efc391fe2a2f3595c0e346b37995509
Homepage: https://cran.r-project.org/package=ica
Description: CRAN Package 'ica' (Independent Component Analysis)
 Independent Component Analysis (ICA) using various algorithms: FastICA,
 Information-Maximization (Infomax), and Joint Approximate Diagonalization of
 Eigenmatrices (JADE).

Package: r-cran-icaff
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-icaff_1.0.1-1.ca2004.1_all.deb
Size: 31704
MD5sum: 71f86c3a5164dfe47f7a5088f4c2d14e
SHA1: 25580afa366d06fee021c009fbd762db765c554c
SHA256: eace5bb5f8899089ab468b8e747aa6f585707f4e66ab9233416698605e0ae37f
SHA512: 30c0f438dc14346fa9cf3cae153a701077b2dbe0055d2e550d2535cd3f1a1f25d57e0bc7beae083fb1e3f66629da274d27e0b13015bb027161d95c202852e1c7
Homepage: https://cran.r-project.org/package=ICAFF
Description: CRAN Package 'ICAFF' (Imperialist Competitive Algorithm)
 Imperialist Competitive Algorithm (ICA)
 <http://en.wikipedia.org/wiki/Imperialist_competitive_algorithm> is a
 computational method that is used to solve optimization problems of
 different types and it is the mathematical model and the computer simulation
 of human social evolution.  The package provides a minimum value for the
 cost function and the best value for the optimization variables by
 Imperialist Competitive Algorithm.  Users can easily define their own
 objective function depending on the problem at hand.  This version has been
 successfully applied to solve optimization problems, for continuous
 functions.

Package: r-cran-ical
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ical_0.1.6-1.ca2004.1_all.deb
Size: 66616
MD5sum: 94baf44f6b49e6c09df69b8c265cb44d
SHA1: 6500ea6ecb01e70be54d395784dc184b7865f65a
SHA256: 6695766daa53acdae40b5a31262ac2806982b1539c4e5b7ce0a325af1a744697
SHA512: f6d8b2d5afaae406c2647109914aa18bf32b4661caa8225ede3bc3e494b5642c1ef8980a72c9e0ab60b5b823759392a8130584709ed6f49448797e282c6436f3
Homepage: https://cran.r-project.org/package=ical
Description: CRAN Package 'ical' ('iCalendar' Parsing)
 A simple wrapper around the 'ical.js' library executing 'Javascript' code
 via 'V8' (the 'Javascript' engine driving the 'Chrome' browser and 'Node.js'
 and accessible via the 'V8' R package).  This package enables users to parse
 'iCalendar' files ('.ics', '.ifb', '.iCal', '.iFBf') into lists and
 'data.frames' to ultimately do statistics on events, meetings, schedules,
 birthdays, and the like.

Package: r-cran-icamp
Architecture: all
Version: 1.5.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1350
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-vegan, r-cran-permute, r-cran-ape, r-cran-bigmemory, r-cran-nortest, r-cran-minpack.lm, r-cran-hmisc, r-cran-dirichletreg, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-icamp_1.5.12-1.ca2004.1_all.deb
Size: 1335816
MD5sum: 38bded23e1d1ea03817edcf1cab3919f
SHA1: e3857be9f21c12854d1626b326a9b98a8b7de302
SHA256: 6f9c615a17013c885a8dac595b06a191c1a98c2b2704bd1faab0409c13dd4ae9
SHA512: e4151328a8f28ba4f76701532d0a2fecb6c5d1d0a0dfd5ec460cbf0d389a742bab874bb11afcf8d529d6f6bebd0c6cfc3384987ddc6c568f960bc9c6732d63aa
Homepage: https://cran.r-project.org/package=iCAMP
Description: CRAN Package 'iCAMP' (Infer Community Assembly Mechanisms by Phylogenetic-Bin-BasedNull Model Analysis)
 To implement a general framework to quantitatively infer Community Assembly
 Mechanisms by Phylogenetic-bin-based null model analysis, abbreviated as
 'iCAMP' (Ning et al 2020) <doi:10.1038/s41467-020-18560-z>. It can
 quantitatively assess the relative importance of different community
 assembly processes, such as selection, dispersal, and drift, for both
 communities and each phylogenetic group ('bin'). Each bin usually consists
 of different taxa from a family or an order. The package also provides
 functions to implement some other published methods, including neutral taxa
 percentage (Burns et al 2016) <doi:10.1038/ismej.2015.142> based on neutral
 theory model and quantifying assembly processes based on entire-community
 null models ('QPEN', Stegen et al 2013) <doi:10.1038/ismej.2013.93>. It also
 includes some handy functions, particularly for big datasets, such as
 phylogenetic and taxonomic null model analysis at both community and bin
 levels, between-taxa niche difference and phylogenetic distance calculation,
 phylogenetic signal test within phylogenetic groups, midpoint root of big
 trees, etc. Version 1.3.x mainly improved the function for 'QPEN' and added
 function 'icamp.cate()' to summarize 'iCAMP' results for different
 categories of taxa (e.g. core versus rare taxa).

Package: r-cran-icams
Architecture: all
Version: 3.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3488
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-bsgenome, r-cran-data.table, r-cran-dplyr, r-cran-fuzzyjoin, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-iranges, r-cran-lifecycle, r-cran-rcolorbrewer, r-cran-stringi, r-cran-zip
Suggests: r-bioc-bsgenome.hsapiens.1000genomes.hs37d5, r-bioc-bsgenome.hsapiens.ucsc.hg38, r-bioc-bsgenome.mmusculus.ucsc.mm10, r-cran-ggplot2, r-cran-reshape2, r-cran-rlang, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icams_3.0.11-1.ca2004.1_all.deb
Size: 2828332
MD5sum: 70d5dbe43b9c564d3ea161e06196cc10
SHA1: b19074bf4a346116041112a19a79f055f2a122bb
SHA256: 46babbc1ea32a3acfb8c746d189468dcc67a499846644f45e610dc1ec9751a0c
SHA512: 9a6c64ab47b96ef7c33d2dda58ee03792ce2b41d9de2fbcec76a6579f769d193010caa429b0f714c3dec06ce6faa819af01cdc63705b0acd77f1267be739617f
Homepage: https://cran.r-project.org/package=ICAMS
Description: CRAN Package 'ICAMS' (In-Depth Characterization and Analysis of Mutational Signatures('ICAMS'))
 Analysis and visualization of experimentally elucidated mutational
 signatures -- the kind of analysis and visualization in Boot et al.,
 "In-depth characterization of the cisplatin mutational signature in human
 cell lines and in esophageal and liver tumors", Genome Research 2018,
 <doi:10.1101/gr.230219.117> and "Characterization of colibactin-associated
 mutational signature in an Asian oral squamous cell carcinoma and in other
 mucosal tumor types", Genome Research 2020 <doi:10.1101/gr.255620.119>.
 'ICAMS' stands for In-depth Characterization and Analysis of Mutational
 Signatures. 'ICAMS' has functions to read in variant call files (VCFs) and
 to collate the corresponding catalogs of mutational spectra and to analyze
 and plot catalogs of mutational spectra and signatures. Handles both
 "counts-based" and "density-based" (i.e.  representation as mutations per
 megabase) mutational spectra or signatures.

Package: r-cran-icardafigsr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1007
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-doparallel, r-cran-dplyr, r-cran-ggplot2, r-cran-foreach, r-cran-httr, r-cran-magrittr, r-cran-plotroc, r-cran-plyr, r-cran-raster, r-cran-reshape2, r-cran-sp, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-icardafigsr_1.0.2-1.ca2004.1_all.deb
Size: 975172
MD5sum: 184331ca18762157cd74e38c091b83dd
SHA1: e69cee13ef5de25400819d9a303d91242d6bf10e
SHA256: 3d2869ae0cfc55b38deb708e55a65b5583353f1ae6f545ce5713fbf6adeb7485
SHA512: f95aaa98d03cfa91bc8dacf72c1713362ae0630c218441cf171a2eb34628f3492feab9f22fb3de2df01976bcafcf232b0ceed7d137bb9acfae57ea8ad30cfdc7
Homepage: https://cran.r-project.org/package=icardaFIGSr
Description: CRAN Package 'icardaFIGSr' (Subsetting using Focused Identification of the GermplasmStrategy (FIGS))
 Running Focused Identification of the Germplasm Strategy (FIGS) to make best
 subsets from Genebank Collection.

Package: r-cran-icarh
Architecture: all
Version: 2.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-mass, r-cran-ggplot2, r-cran-glue, r-cran-rcurl, r-bioc-kegggraph, r-cran-igraph, r-cran-reshape2, r-cran-mc2d, r-cran-abind, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-icarh_2.0.2.1-1.ca2004.1_all.deb
Size: 124632
MD5sum: 7a3db7ef7e18b88a166acb59ba779019
SHA1: eeb6403866aed02af08b593cc6ecfc08bcfaf9de
SHA256: 649388a5e575eba650aeac7c02fe5ef42698e56eadc14196e4ecab9332028b07
SHA512: 84b3035bada013361bf4e0c932527fa5b31b5b0cb0c5ef34998e3d4943a421986a95f67031d8e72d282f4b1a76183ebb4fd03d9060d1929bd83aad14a4d2dffd
Homepage: https://cran.r-project.org/package=iCARH
Description: CRAN Package 'iCARH' (Integrative Conditional Autoregressive Horseshoe Model)
 Implements the integrative conditional autoregressive horseshoe model
 discussed in Jendoubi, T., Ebbels, T.M. Integrative analysis of time course
 metabolic data and biomarker discovery.  BMC Bioinformatics 21, 11 (2020)
 <doi:10.1186/s12859-019-3333-0>.  The model consists in three levels:
 Metabolic pathways level modeling interdependencies between variables via a
 conditional auto-regressive (CAR) component, integrative analysis level to
 identify potential associations between heterogeneous omic variables via a
 Horseshoe prior and experimental design level to capture experimental design
 conditions through a mixed-effects model.  The package also provides
 functions to simulate data from the model, construct pathway matrices, post
 process and plot model parameters.

Package: r-cran-icarus
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4017
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-rglpk, r-cran-slam, r-cran-xtable, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-icarus_0.3.2-1.ca2004.1_all.deb
Size: 3981960
MD5sum: ec7f2c574897f5f718acf40508cbd3fb
SHA1: 3c68da4ec7c11d5451e7cae2db5c87768ff7cd50
SHA256: bbd35fa0fc1fe7cc065dcc0f763df9e4e952b704282f8d1b77980e160c240237
SHA512: e7f2d6e7c16aa8dac0f829952f6b01057343373a718c1d4a90031473943e217ea5b518da451fdd5c0fffb62e182bbb19508aa86232a47db57f35f8f9f7c54a51
Homepage: https://cran.r-project.org/package=icarus
Description: CRAN Package 'icarus' (Calibrates and Reweights Units in Samples)
 Provides user-friendly tools for calibration in survey sampling.  The
 package is production-oriented, and its interface is inspired by the famous
 popular macro 'Calmar' for SAS, so that 'Calmar' users can quickly get used
 to 'icarus'. In addition to calibration (with linear, raking and logit
 methods), 'icarus' features functions for calibration on tight bounds and
 penalized calibration.

Package: r-cran-icbayes
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hi, r-cran-survival, r-cran-coda
Filename: pool/dists/focal/main/r-cran-icbayes_1.2-1.ca2004.1_all.deb
Size: 111668
MD5sum: 29561f72936476ca7de5febb3265a88b
SHA1: 66317b471c1d8dc81e04cc676b163ae75db7d93c
SHA256: 8a2046d165d4db57f6e123f00196087a437a70f21cc4c90679093447aa9e9422
SHA512: 4a1c09b8c255f3636eb819c402251264245837041f8918f49f16f9f388d2f585608b43339e201a1d6fe346682aafa28114df112b76173e17a274d6f2f24d1d11
Homepage: https://cran.r-project.org/package=ICBayes
Description: CRAN Package 'ICBayes' (Bayesian Semiparametric Models for Interval-Censored Data)
 Contains functions to fit Bayesian semiparametric regression survival models
 (proportional hazards model, proportional odds model, and probit model) to
 interval-censored time-to-event data.

Package: r-cran-icbiomark
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3847
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-dplyr, r-cran-purrr, r-cran-latex2exp, r-cran-matrixstats, r-cran-ggplot2, r-cran-gglasso, r-cran-prroc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icbiomark_0.1.4-1.ca2004.1_all.deb
Size: 3826272
MD5sum: 7f85edc473b506dda37a8236c9981c0c
SHA1: bea592cbd9fa291b1c6e7122f4160110c6411f4b
SHA256: 46b64731ffac1d0b3ffe55a0f9f907332ee53c18c1bd7c76ec9e59eff8a76a8a
SHA512: fdaf8b257362cd15df176f3f91812fd0e33e9c4df33e8003eef516147d599e0770d61216ca08114a3d2b12dfedab6b19dfe68f82927c589d106e567a39c5fd4b
Homepage: https://cran.r-project.org/package=ICBioMark
Description: CRAN Package 'ICBioMark' (Data-Driven Design of Targeted Gene Panels for EstimatingImmunotherapy Biomarkers)
 Implementation of the methodology proposed in 'Data-driven design of
 targeted gene panels for estimating immunotherapy biomarkers', Bradley and
 Cannings (2021) <arXiv:2102.04296>. This package allows the user to fit
 generative models of mutation from an annotated mutation dataset, and then
 further to produce tunable linear estimators of exome-wide biomarkers. It
 also contains functions to simulate mutation annotated format (MAF) data, as
 well as to analyse the output and performance of models.

Package: r-cran-icc.sample.size
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-icc.sample.size_1.0-1.ca2004.1_all.deb
Size: 28264
MD5sum: 26a442ee1481f552d01bb5b37926431b
SHA1: eacebdcb900541e6e41fce96780d7532c68aa7c0
SHA256: b0fd74acbb250a71dd8101b93a0256797d9e6da5e27b20e01b697bed361701bf
SHA512: 7b2dd184cbb200e1b45f3654ce46fd5bac228bfb96ddd6e7b4d72579e394133807404f2f48382f598744a90dad7c5df37183ca6486813cd46fee130bb1aad24e
Homepage: https://cran.r-project.org/package=ICC.Sample.Size
Description: CRAN Package 'ICC.Sample.Size' (Calculation of Sample Size and Power for ICC)
 Provides functions to calculate the requisite sample size for studies where
 ICC is the primary outcome. Can also be used for calculation of power. In
 both cases it allows the user to test the impact of changing input variables
 by calculating the outcome for several different values of input variables.
 Based off the work of Zou.  Zou, G. Y. (2012). Sample size formulas for
 estimating intraclass correlation coefficients with precision and assurance.
 Statistics in medicine, 31(29), 3972-3981.

Package: r-cran-icc
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-icc_2.4.0-1.ca2004.1_all.deb
Size: 45944
MD5sum: 58cb20bfe86b9efe0802beb27e0effe6
SHA1: 384b1bf51604e65fdf35f479d165bd18da83a0ff
SHA256: a81336f8c4b2a26a5e38b473898c1775285426d165dc1d1a8f6c2bf8222070fb
SHA512: 7a79bf9bd021529f27cf6e5eff950fbac57a1055847c47d0ae5954d95508f237f3a4fdc49bf5905881e0e1ed639f6e57dd1f87bc92dd67a88798e0cb0fb7247d
Homepage: https://cran.r-project.org/package=ICC
Description: CRAN Package 'ICC' (Facilitating Estimation of the Intraclass CorrelationCoefficient)
 Assist in the estimation of the Intraclass Correlation Coefficient (ICC)
 from variance components of a one-way analysis of variance and also estimate
 the number of individuals or groups necessary to obtain an ICC estimate with
 a desired confidence interval width.

Package: r-cran-iccbin
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-iccbin_1.1.1-1.ca2004.1_all.deb
Size: 47800
MD5sum: 02940cc9f1a95ad240ac3eaa6b5245c3
SHA1: 468166ae0e5ffe4da06ee1bdb3c7bc417b5a087e
SHA256: ec6795178148f235f211be8f5069d8336d70210429bbd4f0e46720910df1d2c8
SHA512: c5911875fb1310d69486ec6b5aa228c920dce4d8735354560c49d2b7190675c75d353663bc92c0c0dc35c0d0e221ccbe1f5045e301cc30a589bd3d366ddd4b73
Homepage: https://cran.r-project.org/package=ICCbin
Description: CRAN Package 'ICCbin' (Facilitates Clustered Binary Data Generation, and Estimation ofIntracluster Correlation Coefficient (ICC) for Binary Data)
 Assists in generating binary clustered data, estimates of Intracluster
 Correlation coefficient (ICC) for binary response in 16 different methods,
 and 5 different types of confidence intervals.

Package: r-cran-icccounts
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmmtmb, r-cran-ggplot2, r-cran-deriv, r-cran-gridextra, r-cran-vgam, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-icccounts_1.1.2-1.ca2004.1_all.deb
Size: 280096
MD5sum: 66123cc482294b751035038f8e495963
SHA1: 08a057e4e2369839efd8e7e44b64c7bb78cf8d1c
SHA256: 1325acedff32663a06fab0beef83d6d28aa825ed838756616a54e48269d5012d
SHA512: 349fddf982be86f9ad803de62b71b7a48382b4b40232e7460109081aee3ffedbeeb984b023e7eb54ef17620121bd799accc5ab4868f9887ceb45359965f35d4d
Homepage: https://cran.r-project.org/package=iccCounts
Description: CRAN Package 'iccCounts' (Intraclass Correlation Coefficient for Count Data)
 Estimates the intraclass correlation coefficient (ICC) for count data to
 assess repeatability (intra-methods concordance) and concordance
 (between-method concordance). In the concordance setting, the ICC is
 equivalent to the concordance correlation coefficient estimated by variance
 components. The ICC is estimated using the estimates from generalized linear
 mixed models. The within-subjects distributions considered are: Poisson;
 Negative Binomial with additive and proportional extradispersion;
 Zero-Inflated Poisson; and Zero-Inflated Negative Binomial with additive and
 proportional extradispersion. The statistical methodology used to estimate
 the ICC with count data can be found in Carrasco (2010)
 <doi:10.1111/j.1541-0420.2009.01335.x>.

Package: r-cran-iccde
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iccde_0.3.8-1.ca2004.1_all.deb
Size: 21816
MD5sum: 1484ec787073a0b89971bc7c539f34b9
SHA1: c2889e6e995615c5bb40bc8495abba0d259797a4
SHA256: 6ac6a90c4f99559443502073a78ef24d63d00414ec16962c768058aa653daae3
SHA512: ac63601a3138338dbb4035697968acce83ff4caa5adc2babc10652bd0ae507cef351450e144bf984ae07b82c9e28853908994002f163c5bb450377e6443a78b0
Homepage: https://cran.r-project.org/package=iccde
Description: CRAN Package 'iccde' (Computation of the Double-Entry Intraclass Correlation)
 The functions compute the double-entry intraclass correlation, which is an
 index of profile similarity (Furr, 2010; McCrae, 2008). The double-entry
 intraclass correlation is a more precise index of the agreement of two
 empirically observed profiles than the often-used intraclass correlation
 (McCrae, 2008). Profiles comprising correlations are automatically
 transformed according to the Fisher z-transformation before the double-entry
 intraclass correlation is calculated. If the profiles comprise scores such
 as sum scores from various personality scales, it is recommended to
 standardize each individual score prior to computation of the double-entry
 intraclass correlation (McCrae, 2008). See Furr (2010)
 <doi:10.1080/00223890903379134> or McCrae (2008)
 <doi:10.1080/00223890701845104> for details.

Package: r-cran-iccforest
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-survival, r-cran-icenreg, r-cran-ipred
Suggests: r-cran-ltrctrees, r-cran-inum
Filename: pool/dists/focal/main/r-cran-iccforest_0.5.1-1.ca2004.1_all.deb
Size: 58680
MD5sum: 703f468b6b11ad6d86148bb11d6e3d57
SHA1: 7f009e187820e4995e879c22b5ac877c6adf4894
SHA256: 75f8292dbf7bafc7a3c01c047077bf09ff3b2fb8ddc9606b8f301707cac6fadc
SHA512: a198f15f14f30974b88be3e52ab38a320b675aa57833444cdcf03d5c3a207adf6c6335062a0620f4c9b7893a60f60aed95f7e6b463337c7c8b1587a9b264e2e8
Homepage: https://cran.r-project.org/package=ICcforest
Description: CRAN Package 'ICcforest' (An Ensemble Method for Interval-Censored Survival Data)
 Implements the conditional inference forest approach to modeling
 interval-censored survival data. It also provides functions to tune the
 parameters and evaluate the model fit. See Yao et al. (2019)
 <arXiv:1901.04599>.

Package: r-cran-iccmult
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dirmult, r-cran-gtools, r-cran-iccbin, r-cran-lme4
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iccmult_1.0.1-1.ca2004.1_all.deb
Size: 35292
MD5sum: 3ea5121431d767b4678288987c0f82f4
SHA1: 23ed6fce95ae8dd53bfb52aa509fa0dece44fec8
SHA256: 76b76b4f8398f83783dc61e33919f77329fee30515b1b64bf328518c334a5a50
SHA512: 9a2152df531d2f0a56b72d0c0b1594bf1069ac3369f5462478c52aa4dcea00c74f1ba8bfd7ebb66ee46e504f5e80adb44a954c0c46434d934edf5a7464000181
Homepage: https://cran.r-project.org/package=iccmult
Description: CRAN Package 'iccmult' (Intracluster Correlation Coefficient (ICC) in ClusteredCategorical Data)
 Assists in generating categorical clustered outcome data, estimating the
 Intracluster Correlation Coefficient (ICC) for nominal or ordinal data with
 2+ categories under the resampling and method of moments (MoM) methods, with
 confidence intervals.

Package: r-cran-icctraj
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magic, r-cran-trajectories, r-cran-sp, r-cran-spacetime, r-cran-purrr, r-cran-furrr, r-cran-progressr, r-cran-parallelly, r-cran-future
Filename: pool/dists/focal/main/r-cran-icctraj_1.1.0-1.ca2004.1_all.deb
Size: 154396
MD5sum: 9f6503e0303a30dfdb92823a8440e6fb
SHA1: bf4e6c763b741f71fd55eb1a0968302407e42399
SHA256: 0560c4305c53dc51b6a05f240e51777db77852f5939f66cdc50a6ee9d1f079e8
SHA512: 549e43a8906aa15fd83c9f7d6a1a9783039b2785a07a6efa3e550ebd0c2e7580994a010035d42f93ddd5b281a28543e9437aeb6ccf8122739db0b5840152ae61
Homepage: https://cran.r-project.org/package=iccTraj
Description: CRAN Package 'iccTraj' (Estimates the Intraclass Correlation Coefficient for TrajectoryData)
 Estimates the intraclass correlation coefficient for trajectory data using a
 matrix of distances between trajectories. The distances implemented are the
 extended Hausdorff distances (Min et al. 2007)
 <doi:10.1080/13658810601073315> and the discrete Fréchet distance (Magdy et
 al. 2015) <doi:10.1109/IntelCIS.2015.7397286>.

Package: r-cran-icd.data
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5005
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icd.data_1.0-1.ca2004.1_all.deb
Size: 4410332
MD5sum: 5bd65b9d003517e6902f747973c41b7c
SHA1: df546d1b7ccb7f514c3eac4bf7e7b2414257d5f4
SHA256: ddb3469ae9465c40f992e51d66b2484b5db66cb32bd688b645bdcbfe278c1b97
SHA512: 293ce7cdf462a22048b8357d3b816ab949509f6b49cf1ee26fc0e9d091e6a30cef9c754858460b160052113372e6ee968143058cf658e1886055f0efb014b82e
Homepage: https://cran.r-project.org/package=icd.data
Description: CRAN Package 'icd.data' (International Classifcation of Diseases (ICD) Data)
 Data from the United States Center for Medicare and Medicaid Services (CMS)
 is included in this package. There are ICD-9 and ICD-10 diagnostic and
 procedure codes, and lists of the chapter and sub-chapter headings and the
 ranges of ICD codes they encompass. There are also two sample datasets.
 These data are used by the 'icd' package for finding comorbidities.

Package: r-cran-icd10gm
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1369
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringi, r-cran-rlang, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-icd10gm_1.2.5-1.ca2004.1_all.deb
Size: 1281820
MD5sum: bfa8a542a4197e84f21cc709a7d94f45
SHA1: da79372b26b852d0422f510e38dfa2e4f2478e9d
SHA256: dd840794f4c938885f37bec779dc7093f481c1495344ebc695bdcca47fc16842
SHA512: 86304ffe91d89e47adab1c9a290b9da0877a84bc12f72a65173f5618f1cabee81dc0f92b8e000158e4ba870e2f33d91434b24f8736ba6dd1dcd7f7063ae4485b
Homepage: https://cran.r-project.org/package=ICD10gm
Description: CRAN Package 'ICD10gm' (Metadata Processing for the German Modification of the ICD-10Coding System)
 Provides convenient access to the German modification of the International
 Classification of Diagnoses, 10th revision (ICD-10-GM). It provides
 functionality to aid in the identification, specification and historisation
 of ICD-10 codes. Its intended use is the analysis of routinely collected
 data in the context of epidemiology, medical research and health services
 research. The underlying metadata are released by the German Institute for
 Medical Documentation and Information <https://www.dimdi.de>, and are
 redistributed in accordance with their license.

Package: r-cran-icdcomorbid
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icdcomorbid_1.0.0-1.ca2004.1_all.deb
Size: 48016
MD5sum: 207c0c554cac604bdd9c6ce4651d9d0f
SHA1: 8951e089b580b1128faeb69128738f3a35a5d564
SHA256: f1fea18914ff9edb192037a6041ef2d1af82292a4e20ab554b6d266038340107
SHA512: 0b81a88c94d9cc8aa7788fd64997f911b50818455799dcbcd6166ba1ca2e216d30635fb7529ce3daebec216362a0583195881153cff4f151635a004eeb76958c
Homepage: https://cran.r-project.org/package=icdcomorbid
Description: CRAN Package 'icdcomorbid' (Mapping ICD Codes to Comorbidity)
 Provides tools for mapping International Classification of Diseases codes to
 comorbidity, enabling the identification and analysis of various medical
 conditions within healthcare data.

Package: r-cran-icdglm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-icdglm_1.0.0-1.ca2004.1_all.deb
Size: 49640
MD5sum: c2caee308b4cbd8b961335d61a36a53a
SHA1: 1d7fe7f34c7ec0cf896b7e139c14c29892af9703
SHA256: 6ff8e3ace5de0d472781b4d6b2fbb8513fd9136591181095f80a052410109108
SHA512: 3ceb7f09ffadb1edf8e3fc251d14b662f86e7049672ddef2459aba6fa0b5258054552e2b8e15c6715da94a6051dbf18b7a14e5fb64dfe1ddeea57164b89080bf
Homepage: https://cran.r-project.org/package=icdGLM
Description: CRAN Package 'icdGLM' (EM by the Method of Weights for Incomplete Categorical Data inGenerlized Linear Models)
 Provides an estimator for generalized linear models with incomplete data for
 discrete covariates. The estimation is based on the EM algorithm by the
 method of weights by Ibrahim (1990) <DOI:10.2307/2290013>.

Package: r-cran-icdpicr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1477
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-rcmdcheck
Filename: pool/dists/focal/main/r-cran-icdpicr_1.0.1-1.ca2004.1_all.deb
Size: 1394556
MD5sum: ead0079a4f0caa69df3cd0515cdffa99
SHA1: 3a6d3a8507c793e81a1f07c6239ec14a45af7892
SHA256: 37e591037b539865d714829d5acf65e969c3bc11eb718504c5f16976e8065d02
SHA512: be3fd6f118b07fa9b354b41afc769f710692aaf43ecd1bdbabcfd70fec8c967782827eb32aaf2f21138b0233ef21a8dcad962b1b100453f2125a136d7ea06599
Homepage: https://cran.r-project.org/package=icdpicr
Description: CRAN Package 'icdpicr' ('ICD' Programs for Injury Categorization in R)
 Categorization and scoring of injury severity typically involves trained
 personnel with access to injured persons or their medical records. 'icdpicr'
 contains a function that provides automated calculation of Abbreviated
 Injury Scale ('AIS') and Injury Severity Score ('ISS') from International
 Classification of Diseases ('ICD') codes and may be a useful substitute to
 manual injury severity scoring. 'ICDPIC' was originally developed in
 'Stata', and 'icdpicr' is an open-access update that accepts both 'ICD-9'
 and 'ICD-10' codes.

Package: r-cran-icds
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 697
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-bioc-graphite, r-cran-metap, r-bioc-org.hs.eg.db
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-icds_0.1.3-1.ca2004.1_all.deb
Size: 626840
MD5sum: d4c1d83a5682f65f7efcacbcb095427b
SHA1: 765ba77a23e9b92769adac05a1b22dd7b538fd2a
SHA256: ffd5d4da9c1584a8b9181dedc6c9afd9ee84e11bf0797d79d81b53a7b48df2cc
SHA512: 156fea5e675f310c539298a692b81ec3579de3d2a89c596425f5bce03520d8727bf5fa1a06edf7d0f03ed6646faa5c85eeab1e33a3ad9b3a7f6894da8703dd1a
Homepage: https://cran.r-project.org/package=ICDS
Description: CRAN Package 'ICDS' (Identification of Cancer Dysfunctional Subpathway with OmicsData)
 Identify Cancer Dysfunctional Sub-pathway by integrating gene expression,
 DNA methylation and copy number variation, and pathway topological
 information. 1)We firstly calculate the gene risk scores by integrating
 three kinds of data: DNA methylation, copy number variation, and gene
 expression.  2)Secondly, we perform a greedy search algorithm to identify
 the key dysfunctional sub-pathways within the pathways for which the
 discriminative scores were locally maximal. 3)Finally, the permutation test
 was used to calculate statistical significance level for these key
 dysfunctional sub-pathways.

Package: r-cran-icebox
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sfsmisc
Suggests: r-cran-randomforest, r-cran-mass
Filename: pool/dists/focal/main/r-cran-icebox_1.1.5-1.ca2004.1_all.deb
Size: 165224
MD5sum: b47a08072627cf6033aa0df569343c4d
SHA1: 682bfd5b7319db1b3e13c9f92d638eb103008234
SHA256: 8f188d38fbce87ff3ed281da45e5a684e76b68106b3e24ea312d99a3112941db
SHA512: 5171f5c95fbd9456a0fb48b180a3324e9190b1fbe932b21a1c05d68d96660d903a3a52d5a69b24d6925a4f80acf5c4e5de4b1f0aa2fe2406986ccbae227ebca0
Homepage: https://cran.r-project.org/package=ICEbox
Description: CRAN Package 'ICEbox' (Individual Conditional Expectation Plot Toolbox)
 Implements Individual Conditional Expectation (ICE) plots, a tool for
 visualizing the model estimated by any supervised learning algorithm. ICE
 plots refine Friedman's partial dependence plot by graphing the functional
 relationship between the predicted response and a covariate of interest for
 individual observations. Specifically, ICE plots highlight the variation in
 the fitted values across the range of a covariate of interest, suggesting
 where and to what extent they may exist.

Package: r-cran-icecream
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-pillar, r-cran-purrr, r-cran-rlang
Suggests: r-cran-checkmate, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-icecream_0.2.2-1.ca2004.1_all.deb
Size: 40428
MD5sum: 38ac225cd72a3e034b16aca45fe759ad
SHA1: 977cf1cb25e587bef0f7d91a11bf7842cfe4ac6d
SHA256: c4dea2aa607b2631e6a62eb1e4438f7835876e3f42f63925c90d67a97c57984a
SHA512: 0789a2307f16411ac81572290b2e063e24476f3811b76d1e992c3a419c4a0fd9f2850b404226c4ce2d6cde0ad9d85a6cceb24b45d38c0135e0f5104cca78cb84
Homepage: https://cran.r-project.org/package=icecream
Description: CRAN Package 'icecream' (Print Debugging Made Sweeter)
 Provides user-friendly and configurable print debugging via a single
 function, ic(). Wrap an expression in ic() to print the expression, its
 value and (where available) its source location.  Debugging output can be
 toggled globally without modifying code.

Package: r-cran-iced
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1590
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-knitr, r-cran-lavaan, r-cran-mass, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iced_0.0.1-1.ca2004.1_all.deb
Size: 771848
MD5sum: 90002d30a5ba67ae01e037bb0be7ef76
SHA1: 5024f1d01cfee43e0cdd7113a4739f54bd547107
SHA256: 73e317e17c1fb5b006393819cc3fcccb67177116b35820339bf91c25ef5da26c
SHA512: e8f149364ef9bbb6c26b8c365b611883737499967a0becef8692b95c49cbac9c9a9bb97c8772eb657c7c9644d502cda893c24d7764382eb2e3f31817308be6e4
Homepage: https://cran.r-project.org/package=ICED
Description: CRAN Package 'ICED' (IntraClass Effect Decomposition)
 Estimate test-retest reliability for complex sampling strategies and extract
 variances using IntraClass Effect Decomposition. Developed by Brandmaier et
 al. (2018) "Assessing reliability in neuroimaging research through
 intra-class effect decomposition (ICED)" <doi:10.7554/eLife.35718> Also
 includes functions to simulate data based on sampling strategy.  Unofficial
 version release name: "Good work squirrels".

Package: r-cran-iceinfer
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-iceinfer_1.3-1.ca2004.1_all.deb
Size: 1144472
MD5sum: f180afa76c691057fb9c940a61e1e8ef
SHA1: cc60f99634f87ecd00ceed2d042995960a213af9
SHA256: eb81d05d7ecda84d8583293849a2719469ed424baac7bbf0f48eeb7697728189
SHA512: 9ec4c0f726ca8f4704cb5f441048cb7a267b38e15b92057bc1c0a2d063824cecc3c5ec79b122eeb58eaa0cb1bb82bbaa723d28687fb8fb4e221df99811e3c240
Homepage: https://cran.r-project.org/package=ICEinfer
Description: CRAN Package 'ICEinfer' (Incremental Cost-Effectiveness Inference using Two UnbiasedSamples)
 Given two unbiased samples of patient level data on cost and effectiveness
 for a pair of treatments, make head-to-head treatment comparisons by (i)
 generating the bivariate bootstrap resampling distribution of ICE
 uncertainty for a specified value of the shadow price of health, lambda,
 (ii) form the wedge-shaped ICE confidence region with specified confidence
 fraction within [0.50, 0.99] that is equivariant with respect to changes in
 lambda, (iii) color the bootstrap outcomes within the above confidence wedge
 with economic preferences from an ICE map with specified values of lambda,
 beta and gamma parameters, (iv) display VAGR and ALICE acceptability curves,
 and (v) illustrate variation in ICE preferences by displaying potentially
 non-linear indifference(iso-preference) curves from an ICE map with
 specified values of lambda, beta and either gamma or eta parameters.

Package: r-cran-icensbkl
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-mass, r-bioc-icens, r-cran-teachingdemos, r-cran-mvtnorm, r-cran-smoothsurv, r-cran-gtools
Suggests: r-cran-interval, r-cran-logspline, r-cran-mixak, r-cran-bayessurv, r-cran-fhtest, r-cran-icenreg, r-cran-frailtypack, r-cran-mlecens, r-cran-cubature, r-cran-runjags, r-cran-coda, r-cran-dynsurv
Filename: pool/dists/focal/main/r-cran-icensbkl_1.5-1.ca2004.1_all.deb
Size: 352108
MD5sum: e6ec96aa0348304c53ed8d13dc22994a
SHA1: 32033f7ee0f75e0ee58f9561752edcc4e74d5887
SHA256: ae0df777783b8ed6a84fe7f5b033748ae9c21bef99031090ff42c7e4485a64b1
SHA512: e546b5eafdacf124ea935a01829a4a0c466bd04d7d9e807a47e81229125a31c3df8a101837ac56ad8a36f9da3d35be0f5f5aef87fc0d2c07a5010d9c193d18e4
Homepage: https://cran.r-project.org/package=icensBKL
Description: CRAN Package 'icensBKL' (Accompanion to the Book on Interval Censoring by Bogaerts,Komarek, and Lesaffre)
 Contains datasets and several smaller functions suitable for analysis of
 interval-censored data. The package complements the book Bogaerts, Komárek
 and Lesaffre (2017, ISBN: 978-1-4200-7747-6) "Survival Analysis with
 Interval-Censored Data: A Practical Approach"
 <https://www.routledge.com/Survival-Analysis-with-Interval-Censored-Data-A-Practical-Approach-with/Bogaerts-Komarek-Lesaffre/p/book/9781420077476>.
 Full R code related to the examples presented in the book can be found at
 <https://ibiostat.be/online-resources/icbook/supplemental>. Packages
 mentioned in the "Suggests" section are used in those examples.

Package: r-cran-icertool
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-purrr, r-cran-dt, r-cran-tidyverse, r-cran-readxl, r-cran-ggplot2, r-cran-ggrepel, r-cran-digest, r-cran-shinyhelper
Filename: pool/dists/focal/main/r-cran-icertool_0.0.3-1.ca2004.1_all.deb
Size: 29664
MD5sum: b7078d92334599081bb346c07a072008
SHA1: 293bf2fee21c8b8f26ee46b3353ec85f637c59eb
SHA256: 509b55404469a63c9df809d4010579afa9e06a0c72feefd4aaf318844af297d0
SHA512: e8458c27ef6859403c0fd201006420834d8a62c6f890fc1745f33b7ee24beefd2c5547418852696ef798387e362596e65c04df381a25944f5389c52c925cbfc7
Homepage: https://cran.r-project.org/package=icertool
Description: CRAN Package 'icertool' (Calculate and Plot ICER)
 The app will calculate the ICER (incremental cost-effectiveness ratio)
 Rawlins (2012) <doi:10.1016/B978-0-7020-4084-9.00044-6> from the mean costs
 and quality-adjusted life years (QALY) Torrance and Feeny (2009)
 <doi:10.1017/S0266462300008461> for a set of treatment options, and draw the
 efficiency frontier in the costs-effectiveness plane. The app automatically
 identifies and excludes dominated and extended-dominated options from the
 ICER calculation.

Package: r-cran-icesadvice
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-icesadvice_2.1.1-1.ca2004.1_all.deb
Size: 59604
MD5sum: b14fbc6c73d1f4d5dc73aee019eac460
SHA1: 37a9e8503820a2b6f92c77ef3089e4c21c56b646
SHA256: f8a8cb054be7dea3d36066c9a0c57c34d6f721f9085c45dce2759357efc36954
SHA512: 90977b3e4ef781a97a6369c493e7bb0d798567578e87d62fc0a41e5c4c784de9308d0f96fed4795b335601706f43c83bb06faa124deef4d6016adc838caee166
Homepage: https://cran.r-project.org/package=icesAdvice
Description: CRAN Package 'icesAdvice' (Functions Related to ICES Advice)
 A collection of functions that facilitate computational steps related to
 advice for fisheries management, according to ICES guidelines.  These
 include methods for calculating reference points and model diagnostics.

Package: r-cran-icesat2r
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3419
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-sf, r-cran-lwgeom, r-cran-units, r-cran-data.table, r-cran-httr, r-cran-foreach, r-cran-doparallel, r-cran-magrittr, r-cran-leaflet, r-cran-leafgl, r-cran-leaflet.extras, r-cran-leafsync, r-cran-miniui, r-cran-shiny, r-cran-rnaturalearth, r-cran-lubridate, r-cran-rvest, r-cran-withr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dt, r-cran-mapview, r-cran-stargazer, r-cran-reshape2, r-cran-plotly, r-cran-geodist, r-cran-copernicusdem, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icesat2r_1.0.7-1.ca2004.1_all.deb
Size: 3291544
MD5sum: 1acec41c079c90dba5f122ebd4594064
SHA1: e8f372045b0ad484c0a97b0110769b214d49be0f
SHA256: 9ea975c5607a5672f3737bda930eda2a25f204ca8628c09efbdf1141088547fd
SHA512: 6a1c24f5fb70fb6afbb413417363fb1b6775ad4a8da2099c8d7e9604e7ec5a25558165b3d8b20b465463427d408c4cfa2c56499533b2e782ba337d55d7ad5b9a
Homepage: https://cran.r-project.org/package=IceSat2R
Description: CRAN Package 'IceSat2R' (ICESat-2 Altimeter Data using R)
 Programmatic connection to the 'OpenAltimetry API'
 <https://openaltimetry.earthdatacloud.nasa.gov/data/openapi/swagger-ui/index.html/>
 to download and process 'ATL03' (Global Geolocated Photon Data), 'ATL06'
 (Land Ice Height), 'ATL07' (Sea Ice Height), 'ATL08' (Land and Vegetation
 Height), 'ATL10' (Sea Ice Freeboard), 'ATL12' (Ocean Surface Height) and
 'ATL13' (Inland Water Surface Height) 'ICESat-2' Altimeter Data. The user
 has the option to download the data by selecting a bounding box from a 1- or
 5-degree grid globally utilizing a shiny application. The 'ICESat-2' mission
 collects altimetry data of the Earth's surface. The sole instrument on
 'ICESat-2' is the Advanced Topographic Laser Altimeter System (ATLAS)
 instrument that measures ice sheet elevation change and sea ice thickness,
 while also generating an estimate of global vegetation biomass. 'ICESat-2'
 continues the important observations of ice-sheet elevation change, sea-ice
 freeboard, and vegetation canopy height begun by 'ICESat' in 2003.

Package: r-cran-icesconnect
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-base64enc, r-cran-jsonlite, r-cran-askpass
Filename: pool/dists/focal/main/r-cran-icesconnect_1.1.4-1.ca2004.1_all.deb
Size: 33480
MD5sum: 651541df049520ef6a15e21120d607d4
SHA1: 0f64a4a40c62de4109d712d84a1c786a5923d972
SHA256: 697a8be45757574b9cfc3e353fb453b222b0c2d9706eb96d5f960b66f870e4ab
SHA512: 8e296fe11254fa760c09e2749d6f53e7ac61fe29d312fe3bbd92287c35292c4406282e75dc4a7b59f9450614cf15b2f8a317415668d68311097ae43180ce3469
Homepage: https://cran.r-project.org/package=icesConnect
Description: CRAN Package 'icesConnect' (Provides User Tokens for Access to ICES Web Services)
 Provides user tokens for ICES web services that require authentication and
 authorization.  Web services covered by this package are ICES VMS database,
 the ICES DATSU web services, and the ICES SharePoint site
 <https://www.ices.dk/data/tools/Pages/WebServices.aspx>.

Package: r-cran-icesdatras
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-icesvocab
Filename: pool/dists/focal/main/r-cran-icesdatras_1.4.1-1.ca2004.1_all.deb
Size: 67936
MD5sum: 204fad2973be894efa75de58ddbd0b47
SHA1: b647af7a28d7f0380a3dff64d8c5a313742184ec
SHA256: 45c63bd099b830b491c69fa128cb602cebf12760bd4ea9fc7a6b0d9949d20697
SHA512: 6cfbfb3876921dac765eeaa5ad4c84197ca05de454ea74047285fd2fb5961ab98442298ef6da967d7bdea923d56fffa14d962e91f3c1429c965e07edddbe445e
Homepage: https://cran.r-project.org/package=icesDatras
Description: CRAN Package 'icesDatras' (DATRAS Trawl Survey Database Web Services)
 R interface to access the web services of the ICES (International Council
 for the Exploration of the Sea) DATRAS trawl survey database
 <https://datras.ices.dk/WebServices/Webservices.aspx>.

Package: r-cran-icesdatsu
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-icesconnect, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-cachem, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-icesdatsu_1.2.1-1.ca2004.1_all.deb
Size: 64628
MD5sum: 38cfd186ffa5ef2bc7a6a9f480c25b1d
SHA1: 9123c4870f979a21f69d4c85fe2d08af3ccb533b
SHA256: 91b8375e1803c39adb1819d30285335df6d4c4e5f86854571d798ab08f1b0044
SHA512: baa180c8a22127e3b98615393028dc5b77b61bf7f3875d6661fd19d031e3b9661d801e14b3ee6634afaa490dea74a21697562decae2c5222e459422b4df495ec
Homepage: https://cran.r-project.org/package=icesDatsu
Description: CRAN Package 'icesDatsu' (Functions to Interact with the ICES Data Submission Utility(DATSU))
 Functions to Interact with the ICES Data Submission Utility (DATSU)
 <https://datsu.ices.dk/web/index.aspx>.

Package: r-cran-icesdatsuqc
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sqldf, r-cran-icesdatsu, r-cran-icesvocab, r-cran-glue
Filename: pool/dists/focal/main/r-cran-icesdatsuqc_1.2.0-1.ca2004.1_all.deb
Size: 16336
MD5sum: 7b7927ed898f3be22541182f612a2d94
SHA1: 3050d9e2950d1bcb925a9cd4c34b198ebd59a6e1
SHA256: 3b75ab90499072e134781f011cba0040ad7b86e19e26f20e73ad8bbb3e234147
SHA512: 879c3c285063679e72f7013befd84148af09fc58cff629f029e400ab60e56bb16485efc0995c3d8f0ae7a786cc8e838ceab74a7e2c79a9106cfa09c76a3311cd
Homepage: https://cran.r-project.org/package=icesDatsuQC
Description: CRAN Package 'icesDatsuQC' (Run Quality Checks on Data Prior to Submission to ICES)
 Run quality checks on data sets using the same checks that are conducted on
 the ICES Data Submission Utility (DATSU) <https://datsu.ices.dk>.

Package: r-cran-icessag
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-icesconnect, r-cran-icesdatsu, r-cran-memoise, r-cran-cachem, r-cran-rlang
Suggests: r-cran-testthat, r-cran-icesvocab
Filename: pool/dists/focal/main/r-cran-icessag_1.6.2-1.ca2004.1_all.deb
Size: 133804
MD5sum: 23ea0f8d866b8c05de3b0fe13d2a33c9
SHA1: 1a82d93ae73033b2282e1d42d0d3ef7489241810
SHA256: 83fce37d24a1e332788cb7cdfdafb70c84521d4620087d458d8c6a93f19fb665
SHA512: 43462e7d3ce008201990d6f8cad14390570fefc9ee09821014549dbc3e2f621215c8ebc08478ca27318c73a1cfa8786d00b1091ece5d470f2c0a08ff0d069674
Homepage: https://cran.r-project.org/package=icesSAG
Description: CRAN Package 'icesSAG' (Stock Assessment Graphs Database Web Services)
 R interface to access the web services of the ICES Stock Assessment Graphs
 database <https://sg.ices.dk>.

Package: r-cran-icessd
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-icesconnect, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icessd_2.1.0-1.ca2004.1_all.deb
Size: 17752
MD5sum: d6e746dd286197e8e1b529332b96f7c0
SHA1: 17828dc29dc3c65c6d753a7f134fcb1516241363
SHA256: b2b7fad635049be3b9fb06ddc0118679a5776c31d9ef3bc5217d42fd3fe5b668
SHA512: bb69fc37e517a4cd21edc44f78cee26db7eb79c4bf50568b54c575367f91b212d689dcd6b795aa08b7a9b929444c5157a9d76d1e0907e175e19e21b767c961e5
Homepage: https://cran.r-project.org/package=icesSD
Description: CRAN Package 'icesSD' (Stock Database Web Services)
 R interface to access the web services of the ICES Stock Database
 <https://sd.ices.dk>.

Package: r-cran-icestaf
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-roxygen2, r-cran-taf, r-cran-data.tree
Suggests: r-cran-git2r
Filename: pool/dists/focal/main/r-cran-icestaf_4.2.0-1.ca2004.1_all.deb
Size: 154004
MD5sum: 351bcbacfadadd90ed0e8730d1ae23dc
SHA1: 9a1a3c4f89933fbfc2a37d7af749bd79be70706d
SHA256: 8b4ccadaf2845be1e23820acd8b81561ac4aacdcb20c67e5669b3d9a2041d66d
SHA512: 7b41234cc4db64497fe8c928654de7da2be26dfa7f0f01055d5b5d5cbdfa379b4ef77753ea6a76f9e89df9c7cdfc71a750d5df2b9bb83db72c571bba57fd2fbb
Homepage: https://cran.r-project.org/package=icesTAF
Description: CRAN Package 'icesTAF' (Functions to Support the ICES Transparent Assessment Framework)
 Functions to support the ICES Transparent Assessment Framework
 <https://taf.ices.dk> to organize data, methods, and results used in ICES
 assessments. ICES is an organization facilitating international
 collaboration in marine science.

Package: r-cran-icesvms
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-icesconnect, r-cran-icesvocab
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-icesvms_1.1.4-1.ca2004.1_all.deb
Size: 70092
MD5sum: 85e7cce3b635a11e0d932653db17491c
SHA1: 1d50890d22bc1da732799cee827663b60cf7db65
SHA256: cc1931703f94a4c55ef2a5a3e3872fc3818f78f2662280b1a9ea9df7fdc922ed
SHA512: 7d5069475d65ce9850ac13d5de56b305511e142c85d26e57f879a2fc08dea7bb2364168e603900366abca72a8c7c006635e0d3d19a4592c769415725e6660bb6
Homepage: https://cran.r-project.org/package=icesVMS
Description: CRAN Package 'icesVMS' (Link to the ICES Vessel Monitoring System and Logbook DatabaseWeb Services)
 Links to the ICES Vessel Monitoring System (VMS) and logbook database web
 services <https://data.ices.dk/vms/webservices> to allow users to download
 summaries and data products.

Package: r-cran-icesvocab
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-icesconnect, r-cran-memoise, r-cran-cachem, r-cran-rlang, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icesvocab_1.3.2-1.ca2004.1_all.deb
Size: 76240
MD5sum: 8365cf2ee4f3978d708328f94b688932
SHA1: a5285c2f5fba174415b04fcdefcdc20a74ee4617
SHA256: f8c0b1c76ae9b3867b16950a53c301dee3e5791e0e043002a8e6577c9bd7dc99
SHA512: d47c258f79e986f82d590b436ac328d718b0d1225b4d33c6cd00c67da0ac6ee0636d29faf6542c843e14e2c7fb1baa74a5ab3b1a49b8405f44c095f150b3397f
Homepage: https://cran.r-project.org/package=icesVocab
Description: CRAN Package 'icesVocab' (ICES Vocabularies Database Web Services)
 R interface to access the Vocabularies REST API of the ICES (International
 Council for the Exploration of the Sea) Vocabularies database
 <https://vocab.ices.dk/services/>.

Package: r-cran-icge
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-fastcluster
Filename: pool/dists/focal/main/r-cran-icge_0.4.2-1.ca2004.1_all.deb
Size: 178264
MD5sum: 21dc808adca2645cf9590cd78095503e
SHA1: 1b72d73a0ce61a0ca44a3a970526dbfff17a9147
SHA256: 42f41879181b20bb87372565ff0bd4258772278adf3f1fb3494255fa86e9476d
SHA512: 4c3aff0ab8123e9d870312a972b7f3bb15567cbf33e1fc3788a6c906e0612746b7424060a4e230e7c636d5b2f74cb1fa9d2a544be830a4b4a33b148d92bb212d
Homepage: https://cran.r-project.org/package=ICGE
Description: CRAN Package 'ICGE' (Estimation of Number of Clusters and Identification of AtypicalUnits)
 It is a package that helps to estimate the number of real clusters in data
 as well as to identify atypical units. The underlying methods are based on
 distances rather than on unit x variables.

Package: r-cran-icglm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-icglm_0.1.0-1.ca2004.1_all.deb
Size: 64672
MD5sum: e6d6639ff2f3232de6101e2858138cea
SHA1: c5b112074085d0851c0c11fb55f54d389171bdf7
SHA256: e86943259c951b74c89adc2f9cf5ba50d5bb756aa41033ed413fc60476d8c919
SHA512: c1fb4e090bd6643ff343cfcad3fe29a5ae56b3f3a655e623d8263f3f9e085d9c4f421d1b0da5656565f3e002c90464818f79fd37dea18b8950c4d08055547dfe
Homepage: https://cran.r-project.org/package=ICglm
Description: CRAN Package 'ICglm' (Information Criteria for Generalized Linear Regression)
 Calculate various information criteria in literature for "lm" and "glm"
 objects.

Package: r-cran-icgor
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-icsurv, r-cran-pracma, r-cran-mass
Filename: pool/dists/focal/main/r-cran-icgor_2.0-1.ca2004.1_all.deb
Size: 53104
MD5sum: 76a371d0d238464b237217ad323a0bf9
SHA1: d0803722142b9d358892e8a036226dcc7d61645f
SHA256: 4fc30000de194c0469454d1d8642db5f85ff4d95db3e16480203b2d021f609e9
SHA512: f8c712414e7c748a91e641acb91617166f9cca17d18506ac22de285de3f5856b602ebc2704afab81b157d259589294a996bd0f3dddde3fbe94da5a1a459f4707
Homepage: https://cran.r-project.org/package=ICGOR
Description: CRAN Package 'ICGOR' (Fit Generalized Odds Rate Hazards Model with Interval CensoredData)
 Generalized Odds Rate Hazards (GORH) model is a flexible model of fitting
 survival data, including the Proportional Hazards (PH) model and the
 Proportional Odds (PO) Model as special cases. This package fit the GORH
 model with interval censored data.

Package: r-cran-iciter
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iciter_0.2.1-1.ca2004.1_all.deb
Size: 263756
MD5sum: 275365feeec70fcbc5ea1d50a1606044
SHA1: fb5825ffd24af8fe89a5f2fa8ad6e62f6e2092cf
SHA256: d68f3eeb59f6c3dd7d7c6b9d848020b6c90ed2956b974932f53a7aa4c3622147
SHA512: 6c6a5299407fc5d0742718d642ead93bb03d77fdb1025b0e716b7cf2ea76a0fcc817b770c859d9cc50455652c099ca586907af5880aa05582834ccf42fa1cb9d
Homepage: https://cran.r-project.org/package=iCiteR
Description: CRAN Package 'iCiteR' (A Minimal Wrapper Around NIH's 'iCite' API)
 A minimal wrapper around the NIH's 'iCite' API
 (<https://icite.od.nih.gov/api>).  Given a vector of pubmed IDs, this
 package returns a dataframe of the information yielded by the 'iCite' API.
 The primary metrics yielded by 'iCite' are measurements of a paper's
 scientific influence and translational potential, but the API also returns
 other meta-data from the paper, including author names, publication journal,
 publication year, paper title, doi, and a number of other citation metrics.

Package: r-cran-iclick
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-rugarch, r-cran-sandwich, r-cran-xts, r-cran-boot, r-cran-car, r-cran-coefplot, r-cran-fbasics, r-cran-forecast, r-cran-lmtest, r-cran-lubridate, r-cran-openair, r-cran-paper, r-cran-timedate, r-cran-timeseries, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-iclick_1.5-1.ca2004.1_all.deb
Size: 690496
MD5sum: bb1ca767a195f920397523faf57290d2
SHA1: 4cff6f9e93602aafede539f40f18ece019445d54
SHA256: 60db5672f2e472a8cd03331eaf0c6ca4f4bc1aaa7abec9fbc027f96913252eb4
SHA512: 1bc1ca04aca5350a3cf8170a52ee957fd5901f91e4b597ab8e3b52db6b11d2cc721e700e3998893c134c6b65aba19afa9908755679eecb010dc03d61c10d555c
Homepage: https://cran.r-project.org/package=iClick
Description: CRAN Package 'iClick' (A Button-Based GUI for Financial and Economic Data Analysis)
 A GUI designed to support the analysis of financial-economic time series
 data.

Package: r-cran-icluster
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2445
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-catools, r-cran-gdata, r-cran-gtools, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-icluster_2.1.0-1.ca2004.1_all.deb
Size: 2465820
MD5sum: 86d7e95537d77624d68e0fdc9732337d
SHA1: 4a997d8ba352b1549413f7b87e8e31fe01167876
SHA256: f52506d7d8964cb3475ddaa1ba00e4394d0ead5e30f47257f424a706b3540d90
SHA512: 9c58b64f10e9cbd00395d9d3a12925934d03e8b2887bbb4e1c1441f4668cd956ea5d963fca5409b5bc0e826b231ac2f9cb18347a6d5146b54e1135f37312d889
Homepage: https://cran.r-project.org/package=iCluster
Description: CRAN Package 'iCluster' (Integrative clustering of multiple genomic data types)
 Integrative clustering of multiple genomic data types using a joint latent
 variable model.

Package: r-cran-icmm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ebayesthresh
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-icmm_1.2-1.ca2004.1_all.deb
Size: 1011948
MD5sum: b9d3b194a4ce46715671a944555c8693
SHA1: 5e96a334083742f3d03b64e5c60501b3b19606b8
SHA256: 2e93778e8343f9e92b54d4fe01fef95210b73b2123bdd8f6668eb9d74ca0ded5
SHA512: 28faf8f2f9d75c9fc035245eff659201a0a6e699ea270a44355d0c88342a1038d72290bec1e6d647b46734a8e7b8173f717cd9f109541b726a5f335a1f945b0f
Homepage: https://cran.r-project.org/package=icmm
Description: CRAN Package 'icmm' (Empirical Bayes Variable Selection via ICM/M Algorithm)
 Empirical Bayes variable selection via ICM/M algorithm for normal, binary
 logistic, and Cox's regression. The basic problem is to fit high-dimensional
 regression which sparse coefficients. This package allows incorporating the
 Ising prior to capture structure of predictors in the modeling process. More
 information can be found in the papers listed in the URL below.

Package: r-cran-icods
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-icods_1.2-1.ca2004.1_all.deb
Size: 238644
MD5sum: 575587a4f657599a4781f6351a8bfaae
SHA1: 7c35a1c3785f24edf3975d55197908d145deecab
SHA256: 43dfb631f2a96e6b38a80398ba806d2523a335936a0332c9bd65bdbf49ff3fa7
SHA512: a843f59700c32eca66d4e2116819fe1979c3bd07457efcb6954b36f38dd57427ea0d3772351a2b1fb2ffd7d9ad1b1ccc7543fa870849b79a9928bc5fd9452fb9
Homepage: https://cran.r-project.org/package=ICODS
Description: CRAN Package 'ICODS' (Data Analysis for ODS and Case-Cohort Designs withInterval-Censoring)
 Sieve semiparametric likelihood methods for analyzing interval-censored
 failure time data from an outcome-dependent sampling (ODS) design and from a
 case-cohort design.  Zhou, Q., Cai, J., and Zhou, H. (2018)
 <doi:10.1111/biom.12744>; Zhou, Q., Zhou, H., and Cai, J. (2017)
 <doi:10.1093/biomet/asw067>.

Package: r-cran-icompelm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tsutils, r-cran-ica
Suggests: r-cran-forecast
Filename: pool/dists/focal/main/r-cran-icompelm_0.1.0-1.ca2004.1_all.deb
Size: 41480
MD5sum: 9661510c73f5c017dcfe8d0230226f84
SHA1: a7967769e7f2b30b907cef776154267376530732
SHA256: 38c28e204040cd7ec9dbe33ea131c3f7f15d4e53b8ca25fea78341f8376e267d
SHA512: 78c2f0981a4f3177ecb33dd7eda8c5d07d4558c5b5dfe181616c1dc5f4bc9cbdbc1379eeeabfdc9d08b806b40146367940d9eb87303301ef9bbf6b0c30441a8a
Homepage: https://cran.r-project.org/package=ICompELM
Description: CRAN Package 'ICompELM' (Independent Component Analysis Based Extreme Learning Machine)
 Single Layer Feed-forward Neural networks (SLFNs) have many applications in
 various fields of statistical modelling, especially for time-series
 forecasting. However, there are some major disadvantages of training such
 networks via the widely accepted 'gradient-based backpropagation' algorithm,
 such as convergence to local minima, dependencies on learning rate and large
 training time. These concerns were addressed by Huang et al. (2006)
 <doi:10.1016/j.neucom.2005.12.126>, wherein they introduced the Extreme
 Learning Machine (ELM), an extremely fast learning algorithm for SLFNs which
 randomly chooses the weights connecting input and hidden nodes and
 analytically determines the output weights of SLFNs. It shows good
 generalized performance, but is still subject to a high degree of
 randomness. To mitigate this issue, this package uses a dimensionality
 reduction technique given in Hyvarinen (1999) <doi:10.1109/72.761722>,
 namely, the Independent Component Analysis (ICA) to determine the
 input-hidden connections and thus, remove any sort of randomness from the
 algorithm. This leads to a robust, fast and stable ELM model. Using
 functions within this package, the proposed model can also be compared with
 an existing alternative based on the Principal Component Analysis (PCA)
 algorithm given by Pearson (1901) <doi:10.1080/14786440109462720>, i.e., the
 PCA based ELM model given by Castano et al. (2013)
 <doi:10.1007/s11063-012-9253-x>, from which the implemented ICA based
 algorithm is greatly inspired.

Package: r-cran-iconr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4972
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-magick, r-cran-rgdal
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-kableextra, r-cran-data.tree, r-cran-dendextend
Filename: pool/dists/focal/main/r-cran-iconr_0.1.0-1.ca2004.1_all.deb
Size: 3999348
MD5sum: ed5d5b480b5134501a36a6cc6e82a255
SHA1: 0cff159e567b582c192cb0547fbad45c8a1a9f6e
SHA256: ab08a181795f8ea3f434761f3c7c3e3f729e007e7397f123d90d9fa925bb44e0
SHA512: 45aa283a48050e272e7479fa319a2fa24aa011f7102d2f17c6847098c793843a71c0cfa9b6f78209a8d629f9a67600cf9d0ee24dbb2450bda87be462317a5298
Homepage: https://cran.r-project.org/package=iconr
Description: CRAN Package 'iconr' (Graphical and Spatial Analysis for Prehistoric Iconography)
 Set of formal methods for studying archaeological iconographic datasets
 (rock-art, pottery decoration, stelae, etc.) using network and spatial
 analysis (Alexander 2008 <doi:10.11588/propylaeumdok.00000512>; Huet 2018
 <https://hal.archives-ouvertes.fr/hal-02913656>).

Package: r-cran-icpack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-rlang, r-cran-gridextra, r-cran-checkmate, r-cran-matrixstats, r-cran-dplyr, r-cran-reshape2, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-flexsurv, r-cran-lemon, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-icpack_0.1.0-1.ca2004.1_all.deb
Size: 200080
MD5sum: 4dd308a7c69c090634efc9d31925d0fb
SHA1: cd2e6b6c08a66b4c71cfef01f99e96afb47acfa6
SHA256: 0edc333287e4f28d99dab6dc20e3c6946c2d4e54bc8dc550759c280a416797e9
SHA512: 03726bea5de12c073a4b6260adcad1418702a3039134e1342307ed8299745830114106c6b4f68150b386a839c49ced91cc228faccf34386fd689656e5ab8dbbf
Homepage: https://cran.r-project.org/package=icpack
Description: CRAN Package 'icpack' (Survival Analysis of Interval-Censored Data)
 Survival analysis of interval-censored data with proportional hazards, and
 an explicit smooth estimate of the baseline log-hazard with P-splines.

Package: r-cran-icpsrdata
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rvest, r-cran-purrr, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-icpsrdata_0.6.1-1.ca2004.1_all.deb
Size: 425120
MD5sum: 71407dd727b3ba4c6d29428fd9363ed3
SHA1: 9f6893b384b84bbe3be488f554addb098b3a4f8c
SHA256: f31242606a985eed77a2dffeaef8974dc6e2dbb77d0aee1c617b15202dc4af7f
SHA512: 22ba12eb0c0dd74e8240f6b0c1c10609bf8ac3b0356b6ef6e0cf732bbe743138b696e1e889ef5a0f2f204175215ed8b7dde9e9ea94b9b6af0f2254d1ea5a97d9
Homepage: https://cran.r-project.org/package=icpsrdata
Description: CRAN Package 'icpsrdata' (Reproducible Data Retrieval from the ICPSR Archive)
 Reproducible, programmatic retrieval of datasets from the Inter-university
 Consortium for Political and Social Research archive.

Package: r-cran-ics
Architecture: all
Version: 1.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-survey
Suggests: r-cran-pixmap, r-cran-robustbase, r-cran-mass, r-cran-icsnp, r-cran-testthat, r-cran-icsoutlier
Filename: pool/dists/focal/main/r-cran-ics_1.4-2-1.ca2004.1_all.deb
Size: 1128076
MD5sum: 5be3559d621d8258bcb68f5e012729bb
SHA1: 0b58dfde6084cc3521a040ca032802c32b75a95b
SHA256: 8e90c4b55669fba2d854516f0b09880a3350d889a1ac56c28994270c5d7d7e2e
SHA512: 89424a261b8ff80370ffab150798610f1ce69fbab2de724ef392bde0253ff69f6291e6ebe77827dd41af49fb464e62c1a2e4b452db0ba6aaf7835acc069c83a2
Homepage: https://cran.r-project.org/package=ICS
Description: CRAN Package 'ICS' (Tools for Exploring Multivariate Data via ICS/ICA)
 Implementation of Tyler, Critchley, Duembgen and Oja's (JRSS B, 2009,
 <doi:10.1111/j.1467-9868.2009.00706.x>) and Oja, Sirkia and Eriksson's (AJS,
 2006,
 <https://www.ajs.or.at/index.php/ajs/article/view/vol35,%20no2%263%20-%207>)
 method of two different scatter matrices to obtain an invariant coordinate
 system or independent components, depending on the underlying assumptions.

Package: r-cran-icsoutlier
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1049
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ics, r-cran-moments, r-cran-mvtnorm
Suggests: r-cran-icsclust, r-cran-repplab, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icsoutlier_0.4-0-1.ca2004.1_all.deb
Size: 1018800
MD5sum: 47f90543dedeef4b40ce2c82e2742772
SHA1: c4f39ca3756602dfc57b05cb310a576ea957a42e
SHA256: 728438741e6d07ebd60a06110325de9015c6418668135f31c735172fa0ad9278
SHA512: de7c7012efac95a4030cec6c5b0f901cca7e241939cf12e8f5a5cba7e664d2ca00f011893b301edf61ca4a59035da14a9d9faa21f4b078b53b69d2ae19287f82
Homepage: https://cran.r-project.org/package=ICSOutlier
Description: CRAN Package 'ICSOutlier' (Outlier Detection Using Invariant Coordinate Selection)
 Multivariate outlier detection is performed using invariant coordinates
 where the package offers different methods to choose the appropriate
 components. ICS is a general multivariate technique with many applications
 in multivariate analysis. ICSOutlier offers a selection of functions for
 automated detection of outliers in the data based on a fitted ICS object or
 by specifying the dataset and the scatters of interest. The current
 implementation targets data sets with only a small percentage of outliers.

Package: r-cran-icss
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icss_1.1-1.ca2004.1_all.deb
Size: 24676
MD5sum: a4e15888eec736f46e08f766a0d80457
SHA1: 43b992fd802e04d820a78d2a0dfab04a62c3653c
SHA256: 827d07463b2eed7ad8d2fc8a29a91b7e413ecdc8c0abbd4294cf6069948b9f5a
SHA512: 465fe36c6e97b115bc008aa2dd9fb4f0fd10c02c214308b0472b5110c7bf333dcc801caf600f45ff5d617483f08f829450512010425af5d1095397627de2a56e
Homepage: https://cran.r-project.org/package=ICSS
Description: CRAN Package 'ICSS' (ICSS Algorithm by Inclan/Tiao (1994))
 The Iterative Cumulative Sum of Squares (ICSS) algorithm by Inclan/Tiao
 (1994) <https://www.jstor.org/stable/2290916> detects multiple change
 points, i.e. structural break points, in the variance of a sequence of
 independent observations. For series of moderate size (i.e. 200 observations
 and beyond), the ICSS algorithm offers results comparable to those obtained
 by a Bayesian approach or by likelihood ration tests, without the heavy
 computational burden required by these approaches.

Package: r-cran-icsshiny
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ics, r-cran-icsoutlier, r-cran-shiny, r-cran-icsnp, r-cran-rrcov, r-cran-simsalapar, r-cran-dt
Filename: pool/dists/focal/main/r-cran-icsshiny_0.6-1.ca2004.1_all.deb
Size: 52144
MD5sum: 243570d084ce218fe55ef336533a9c3f
SHA1: 86653d0e7a72166bfbfef2d6cfc9f502e7700802
SHA256: f3282a18c3c465cf6955ec8a3c40137aee49e2415bf3d1aff0f5b992f55e713e
SHA512: a85db85723ea3e91861251a7aaabf3956ba908a38a98e7d5a74478bbddabcf830c47d9c051b9d4de65857a3dc51dd28edc4767284c957953bda7389e9cb9b79c
Homepage: https://cran.r-project.org/package=ICSShiny
Description: CRAN Package 'ICSShiny' (ICS via a Shiny Application)
 Performs Invariant Coordinate Selection (ICS) (Tyler, Critchley, Duembgen
 and Oja (2009) <doi:10.1111/j.1467-9868.2009.00706.x>) and especially ICS
 for multivariate outlier detection with application to quality control
 (Archimbaud, Nordhausen, Ruiz-Gazen (2018) <doi:10.1016/j.csda.2018.06.011>)
 using a shiny app.

Package: r-cran-icssmoothing
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-polynom, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-icssmoothing_1.2.9-1.ca2004.1_all.deb
Size: 155272
MD5sum: c5b7baeed944ef8ad763662eb7ae1760
SHA1: 027cefdf8e490d62e0ed9acac6461ea3eee9d3c5
SHA256: 138cb6514b23117046e17317319bc57f7cf0cc9b76f197157577b468db6a50bd
SHA512: be1e212c667c9b5e6aa43be2f314baaa3ed529aae3573e619ab10908f67612db0ecc9b47135cabb218b655e1524e9ecc8f8367cf40c8cfeb86a6a33c2658a394
Homepage: https://cran.r-project.org/package=ICSsmoothing
Description: CRAN Package 'ICSsmoothing' (Data Smoothing by Interpolating Cubic Splines)
 We construct the explicit form of clamped cubic interpolating spline (both
 uniform - knots are equidistant and non-uniform - knots are arbitrary).
 Using this form, we propose a linear regression model suitable for real data
 smoothing.

Package: r-cran-icsurv
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-icsurv_1.0.1-1.ca2004.1_all.deb
Size: 55980
MD5sum: 3e28cdb35a25c073198961a8983b34b2
SHA1: 59d635b6cc98bf3c5a7244702cdd72501255d8a9
SHA256: 08f2ac151f51078afcf2ebf3afea847227f95ff903416b77a039fb4e2ffbc314
SHA512: 3651ffc47a7c88084e1d691a3e12d45c35030a1941b9ed582c4a5d60d81833644d8d8651295d255376667e467df10e12ccecf4ea931c159727113e4e7c82146a
Homepage: https://cran.r-project.org/package=ICsurv
Description: CRAN Package 'ICsurv' (Semiparametric Regression Analysis of Interval-Censored Data)
 Currently using the proportional hazards (PH) model. More methods under
 other semiparametric regression models will be included in later versions.

Package: r-cran-icsw
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rgenoud, r-cran-minqa
Filename: pool/dists/focal/main/r-cran-icsw_1.0.0-1.ca2004.1_all.deb
Size: 45848
MD5sum: 73a69ac7f1de77edbdc152eef57e2773
SHA1: 35867a9f1174b67868f42c6cb91f89a9867fe123
SHA256: 42a8b966e945ee4c51350b556e8b26d9c81f2eac4ec13c8335d06319cce8300a
SHA512: abd9868edc63288df552bf849112f47cbd9fd18548ee12554a1b66297712120da89de9327bd2df72ccd19411c7448b1e591f67fc5ee8829cd05c13bd19d0d217
Homepage: https://cran.r-project.org/package=icsw
Description: CRAN Package 'icsw' (Inverse Compliance Score Weighting)
 Provides the necessary tools to estimate average treatment effects with an
 instrumental variable by re-weighting observations using a model of
 compliance.

Package: r-cran-icv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-icv_1.0-1.ca2004.1_all.deb
Size: 50848
MD5sum: 157151f2f8102588f0621264916947d9
SHA1: aae1489f8bc3b7479ea8c7579bbaf03c3ab81f59
SHA256: a599732d4da627353ff03ec481ff71aa004b5ef8c072e58354f95116cedadd30
SHA512: bad9961459eb5b366e89af1142b18725486a74eaac872e056d610d79cfbdd98b7529c597f468a77390868a94dd8388fa425b9d562a9631ad53990aee3961f87c
Homepage: https://cran.r-project.org/package=ICV
Description: CRAN Package 'ICV' (Indirect Cross-Validation (ICV) for Kernel Density Estimation)
 Functions for computing the global and local Gaussian density estimates
 based on the ICV bandwidth. See the article of Savchuk, O.Y., Hart, J.D.,
 Sheather, S.J. (2010). Indirect cross-validation for density estimation.
 Journal of the American Statistical Association, 105(489), 415-423
 <doi:10.1198/jasa.2010.tm08532>.

Package: r-cran-idarps
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-idarps_0.0.5-1.ca2004.1_all.deb
Size: 126364
MD5sum: 0df681730ae659689819fa2f8d1de9f5
SHA1: 8de9b3b2beaa72618d5104077beea1e235fbd1ff
SHA256: c17f7958953500fad47bcb980d635faa00434773461b9316edaac54fadc2b6b6
SHA512: f1406c53082b2386e02236912b84d71db40abc5973ddf4ae08965486adb75a7c6bf333538aeacb29cae37fee6513fcf8199fb532d427551b8c3ce46b5818d2be
Homepage: https://cran.r-project.org/package=idarps
Description: CRAN Package 'idarps' (Datasets and Functions for the Class "Modelling and DataAnalysis for Pharmaceutical Sciences")
 Provides datasets and functions for the class "Modelling and Data Analysis
 for Pharmaceutical Sciences".  The datasets can be used to present various
 methods of data analysis and statistical modeling.  Functions for data
 visualization are also implemented.

Package: r-cran-idbg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-idbg_1.0-1.ca2004.1_all.deb
Size: 44260
MD5sum: 57475c0695fb8fec709491f8d88abf78
SHA1: c75b67d8551a26a496fdbdb65c14a22e469121c6
SHA256: 584692b2e37d954500d1d16ff19c05880d63efa8b338a76feb236ad1389b796d
SHA512: 2d8e71780b7832864980d6544e3c893a7d75ba90c47b66fb917ad2bf55fb418c53894350d9f92bc193d787fa994288e6ab40527cdbb332dcb33292633ff1a208
Homepage: https://cran.r-project.org/package=idbg
Description: CRAN Package 'idbg' (R debugger)
 An interactive R debugger

Package: r-cran-idbr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-dplyr, r-cran-httr, r-cran-countrycode, r-cran-purrr, r-cran-rnaturalearthdata, r-cran-sf, r-cran-stringr
Suggests: r-cran-tidyr, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-idbr_1.2-1.ca2004.1_all.deb
Size: 47580
MD5sum: 3738b567f2b94298280802eb0e41093a
SHA1: 162dd7d54151494537755ab15ae97ac2fe78c850
SHA256: d6330c58939d77bd42d166a68877b31a0ab94c4ee48625b8adce523ea147edf2
SHA512: 492030925b84c029f6efa9e300e54f98c074f7827256bd215786fbc20be8a1d005e59ff667063c715a98de76614756e611aeb61df1730bda96edc1f811ba5170
Homepage: https://cran.r-project.org/package=idbr
Description: CRAN Package 'idbr' (R Interface to the US Census Bureau International Data Base API)
 Use R to make requests to the US Census Bureau's International Data Base
 API.  Results are returned as R data frames.  For more information about the
 IDB API, visit
 <https://www.census.gov/data/developers/data-sets/international-database.html>.

Package: r-cran-idcard
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-idcard_0.3.0-1.ca2004.1_all.deb
Size: 30928
MD5sum: 0d37c7f474a51af804d031cc994cce80
SHA1: f4666597eb388fc7a179941aa4d0c4440ff09c96
SHA256: b09f6071089887a1fdaef1a818160f1f304d84469e91f58a9110337486cea7ff
SHA512: 37c500a728977e92cee277bab6459c51ee2c3c70b7a9ce131d75142de1384d349a70ce666918f09cb005cc8dc912e3cc846a367b45fbda7e4d3f7c69ec1ce713
Homepage: https://cran.r-project.org/package=IDCard
Description: CRAN Package 'IDCard' (Update Chinese ID Card Number to Eighteen Digits)
 The digits of the old version (before 2000 year) of 'Chinese ID Card Number'
 is 15, this package aims to update to the current version of 18 digits.
 Besides, this package can help check whether the given 'ID' is right or not.

Package: r-cran-idcnrba
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2018
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nrba, r-cran-dplyr, r-cran-rmarkdown, r-cran-shiny, r-cran-markdown, r-cran-flexdashboard, r-cran-shinyjs, r-cran-htmlwidgets, r-cran-dt, r-cran-tibble, r-cran-survey, r-cran-srvyr, r-cran-haven, r-cran-readr, r-cran-openxlsx, r-cran-base64enc, r-cran-miniui, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idcnrba_1.1.0-1.ca2004.1_all.deb
Size: 215896
MD5sum: b1a5f1659d0efbba91edf5d0a9b12fc0
SHA1: 584a2edfd0ea774775ff62938a96683c1d201892
SHA256: ff0e5aeea9d833f533a8bb268e219d8a394b4b1a89dfa7554882e9dac7b6d416
SHA512: 647a042bf8a08314c2d36013ffa53b41aa48b60ebfbe99b79ff968fad907f6945e8e3c7323efccc7dd2fc557080488672b77bca67851e7e18e9ea7055cf25809
Homepage: https://cran.r-project.org/package=idcnrba
Description: CRAN Package 'idcnrba' (Interactive Application for Analyzing Representativeness andNonresponse Bias)
 Provides access to the Idea Data Center (IDC) application for conducting
 nonresponse bias analysis (NRBA). The IDC NRBA app is an interactive,
 browser-based Shiny application that can be used to analyze survey data with
 respect to response rates, representativeness, and nonresponse bias. This
 app provides a user-friendly interface to statistical methods implemented by
 the 'nrba' package.  Krenzke, Van de Kerckhove, and Mohadjer (2005)
 <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr
 and Riddles (2016)
 <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>
 provide an overview of the statistical methods implemented in the
 application.

Package: r-cran-idconverter
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-tibble
Suggests: r-cran-covr, r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idconverter_0.3.4-1.ca2004.1_all.deb
Size: 57900
MD5sum: 439142b76f6c4cf1d5ca2a8a708936d7
SHA1: 08100b560726bd5b42d07e9fa3118db02e7646f2
SHA256: 035b84090f3b2d6c9c1ec57b7ff6f739b663147d49f5dbd7ca971bc56e20ba0e
SHA512: 33c0c3f994958b12fb1ef1db18e54604416aa4894fc5e24a8cde757562e7d44a549985ccfb268419d5d5b9c002cf9a74f4ae2cf88f2c762ca66e6ab84ee575ad
Homepage: https://cran.r-project.org/package=IDConverter
Description: CRAN Package 'IDConverter' (Convert Identifiers in Biological Databases)
 Identifiers in biological databases connect different levels of metadata,
 phenotype data or genotype data. This tool is designed to easily convert
 identifiers within or between different biological databases (Wang,
 Shixiang, et al. (2021) <DOI:10.1371/journal.pgen.1009557>).

Package: r-cran-ide
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-sp, r-cran-spacetime, r-cran-dplyr, r-cran-tidyr, r-cran-frk, r-cran-deoptim, r-cran-sparseinv
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ide_0.3.1-1.ca2004.1_all.deb
Size: 263060
MD5sum: 0eb8bb86666013757129b3ad8b4984f7
SHA1: 40254b19dc10cea50a3f97e41f53ad4fd19091b4
SHA256: 15a5212204c4ee152d9a13a9933bf9f6aea38f93dbaace1bd1601d30810054ef
SHA512: fa2cc54c236d16f4469e0aa2e4d0a5007b2c5189605710ba7ebb509b32660e46b236970bc7f6ed6914f8c426bff5da0e1847141fe488f7c6e76db200c3c0d848
Homepage: https://cran.r-project.org/package=IDE
Description: CRAN Package 'IDE' (Integro-Difference Equation Spatio-Temporal Models)
 The Integro-Difference Equation model is a linear, dynamical model used to
 model phenomena that evolve in space and in time; see, for example, Cressie
 and Wikle (2011, ISBN:978-0-471-69274-4) or Dewar et al. (2009)
 <doi:10.1109/TSP.2008.2005091>. At the heart of the model is the kernel,
 which dictates how the process evolves from one time point to the next. Both
 process and parameter reduction are used to facilitate computation, and
 spatially-varying kernels are allowed. Data used to estimate the parameters
 are assumed to be readings of the process corrupted by Gaussian measurement
 error. Parameters are fitted by maximum likelihood, and estimation is
 carried out using an evolution algorithm.

Package: r-cran-ideafilter
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-ggplot2, r-cran-pillar, r-cran-purrr, r-cran-rcolorbrewer, r-cran-shiny, r-cran-shinytime
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest, r-cran-shinytest2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ideafilter_0.2.0-1.ca2004.1_all.deb
Size: 205760
MD5sum: 7e7cce004c6f3309174523e9ba00f195
SHA1: 079551c5c356c2540848f25d133ace92c765e3b8
SHA256: ea162406897bc498f1fcb97f98c6b4899b398ba4dae158a0fd54b5356f9c0b49
SHA512: f3c5e48ed49de728f44727468784918b1edf84608970396e5d5241d2062b2a36696a9c180735272bbaf3af5f704c92359e3415b4ada64736148bb27509480a4f
Homepage: https://cran.r-project.org/package=IDEAFilter
Description: CRAN Package 'IDEAFilter' (Agnostic, Idiomatic Data Filter Module for Shiny)
 When added to an existing shiny app, users may subset any developer-chosen R
 data.frame on the fly. That is, users are empowered to slice & dice data by
 applying multiple (order specific) filters using the AND (&) operator
 between each, and getting real-time updates on the number of rows
 effected/available along the way. Thus, any downstream processes that
 leverage this data source (like tables, plots, or statistical procedures)
 will re-render after new filters are applied. The shiny module’s user
 interface has a 'minimalist' aesthetic so that the focus can be on the data
 & other visuals. In addition to returning a reactive (filtered) data.frame,
 'IDEAFilter' as also returns 'dplyr' filter statements used to actually
 slice the data.

Package: r-cran-ideamdb
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 783
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ideamdb_0.0.9-1.ca2004.1_all.deb
Size: 396244
MD5sum: 5ea679d83a625271ec439dc4c8270709
SHA1: c8695f36a634494fa5260bde1734ef32473f1c55
SHA256: ec1d3ceca533492250759e613180f3f70b487ab98fb90949828f7cc1bedb7b68
SHA512: f29ba818ba30104e878ffa2927492950da73cca708e971f3e5e3ab697e1a517ebdeb4ad637cda9038ee7c35aa766bf98098962282fc926624ee35ad7cc670175
Homepage: https://cran.r-project.org/package=ideamdb
Description: CRAN Package 'ideamdb' (Easy Manipulation of IDEAM's Climatological Data)
 Time series plain text conversion and data visualization. It allows to
 transform IDEAM (Instituto de Hidrologia, Meteorologia y Estudios
 Ambientales) daily series from plain text to CSV files or data frames in R.
 Additionally, it is possible to obtain exploratory graphs from times series.
 IDEAM’s data is freely delivered under formal request through the official
 web page <http://www.ideam.gov.co/solicitud-de-informacion>.

Package: r-cran-ideanet
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4234
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraphdata, r-cran-cliquepercolation, r-cran-cluster, r-cran-colorspace, r-cran-concorr, r-cran-cowplot, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggthemes, r-cran-gridgraphics, r-cran-igraph, r-cran-intergraph, r-cran-jsonlite, r-cran-linkcomm, r-cran-magrittr, r-cran-matrix, r-cran-moments, r-cran-network, r-cran-readxl, r-cran-reshape2, r-cran-rlang, r-cran-rspectra, r-cran-shiny, r-cran-sna, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-dt, r-cran-devtools, r-cran-egor, r-cran-ergm, r-cran-shinythemes, r-cran-shinywidgets, r-cran-knitr, r-cran-rmarkdown, r-cran-shinycssloaders, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-ideanet_1.1.0-1.ca2004.1_all.deb
Size: 2705912
MD5sum: 533a3028a1f63e906e786796ed1576d9
SHA1: 303dc5b5762ffd25009cedd634ef8ab3e3918682
SHA256: 78e235242595b2370608afa3ca60e6c6180466096310d608c1b9bd01bdc621b7
SHA512: 426af24d1fcfe90229e65069e227a275768673d721be0ef036e7aed2e6aaa7855e7f32a9c181f560a1a78e80306071a0d1bec750f52e2e2fa51e5b12948e52cd
Homepage: https://cran.r-project.org/package=ideanet
Description: CRAN Package 'ideanet' (Integrating Data Exchange and Analysis for Networks ('ideanet'))
 A suite of convenient tools for social network analysis geared toward
 students, entry-level users, and non-expert practitioners. ‘ideanet’
 features unique functions for the processing and measurement of sociocentric
 and egocentric network data. These functions automatically generate node-
 and system-level measures commonly used in the analysis of these types of
 networks. Outputs from these functions maximize the ability of novice users
 to employ network measurements in further analyses while making all users
 less prone to common data analytic errors. Additionally, ‘ideanet’ features
 an R Shiny graphic user interface that allows novices to explore network
 data with minimal need for coding.

Package: r-cran-ideatools
Architecture: all
Version: 3.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3338
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-readxl, r-cran-tibble, r-cran-stringi, r-cran-ggimage, r-cran-pdftools, r-cran-ggpubr, r-cran-ggplot2, r-cran-rlang, r-cran-ggtext, r-cran-rmarkdown, r-cran-shiny, r-cran-openxlsx
Suggests: r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ideatools_3.5.2-1.ca2004.1_all.deb
Size: 2330996
MD5sum: 45bde41501c84952c4a005635e83390d
SHA1: 5c331f6a938fbe4dc383d4bca5cae16fd02efb49
SHA256: ab33c66192e71aea633f0d1ffa5ee3cd6adbaa2beaa1c7c34d7fb4e3ad3aa814
SHA512: d71bfc5c5436488d6a05bd6435cc59dd56932572f9f74742b7db1afa42baf5320373ff93896faa824b96cc5b2cef2972f3f64d4c80ab951284877b0516b5cd4b
Homepage: https://cran.r-project.org/package=IDEATools
Description: CRAN Package 'IDEATools' (Individual and Group Farm Sustainability Assessments using theIDEA4 Method)
 Collection of tools to automate the processing of data collected though the
 IDEA4 method (see Zahm et al. (2018) <doi:10.1051/cagri/2019004> ). Starting
 from the original data collecting files this packages provides functions to
 compute IDEA indicators, draw modern and aesthetic plots, and produce a wide
 range of reporting materials.

Package: r-cran-idendr0
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tkrplot
Suggests: r-cran-dendser, r-cran-cluster, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-idendr0_1.5.3-1.ca2004.1_all.deb
Size: 1196816
MD5sum: 033e7fe739680447890508132c769784
SHA1: 1684c9de1a307ea683f73b5faa11683b35ba3de5
SHA256: 4dd34f517a26e636ae8bf77cde8443da4dfc11b33ad013f42560de73c3c738d7
SHA512: 8e2ebc1addb74458c16c543dbeb44a6e4737036b1be567ef52167bc0fb008a94b9dd6262598ca5136808cf3442e5a7fe5de4a432b6b648f457c1eeccc1373756
Homepage: https://cran.r-project.org/package=idendr0
Description: CRAN Package 'idendr0' (Interactive Dendrograms)
 Interactive dendrogram that enables the user to select and color clusters,
 to zoom and pan the dendrogram, and to visualize the clustered data not only
 in a built-in heat map, but also in 'GGobi' interactive plots and
 user-supplied plots.  This is a backport of Qt-based 'idendro'
 (<https://github.com/tsieger/idendro>) to base R graphics and Tcl/Tk GUI.

Package: r-cran-ider
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 945
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fnn, r-cran-glm2
Filename: pool/dists/focal/main/r-cran-ider_0.1.1-1.ca2004.1_all.deb
Size: 931724
MD5sum: 2c6dbf0cdc1377bb02d0da20bc783f25
SHA1: 694c0032df23128f714f722298f8b33efd75dd73
SHA256: b08ea88c5fab6e0029c80f107611ed06042504428f801d0e4e4ac23a35b04141
SHA512: f8647bc2e59a9103662d991d41c93f243a31bd03fbe04e91a4948947dd8b3f98c6565f8123fbaa349c1e7b9a4841011b5786de87372db9ad33a88e47f4ed8374
Homepage: https://cran.r-project.org/package=ider
Description: CRAN Package 'ider' (Various Methods for Estimating Intrinsic Dimension)
 An implementation of various methods for estimating intrinsic dimension of
 vector-valued dataset or distance matrix. Most methods implemented are based
 on different notion of fractal dimension such as the capacity dimension, the
 box-counting dimension, and the information dimension.

Package: r-cran-idetect
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idetect_0.1.0-1.ca2004.1_all.deb
Size: 143116
MD5sum: f44cf4e2457bf0d0a3521d1f6a2ed309
SHA1: 3881c61daa0ba600c1e42579edf77c5e50a3ce8e
SHA256: b1c25309a2da00e1f8f12e661616f88b77857af7127f3a3bba6f85952d9428c3
SHA512: 41f6a8066082010085984efcb3890952cc299d52a4a9d51414d3d731eda9d4be390d90a327c99e4ff9a3c9e42d618b4ad4b1d6b8910fbe513dc07a551fef1594
Homepage: https://cran.r-project.org/package=IDetect
Description: CRAN Package 'IDetect' (Isolate-Detect Methodology for Multiple Change-Point Detection)
 Provides efficient implementation of the Isolate-Detect methodology for the
 consistent estimation of the number and location of multiple change-points
 in one-dimensional data sequences from the "deterministic + noise" model.
 For details on the Isolate-Detect methodology, please see Anastasiou and
 Fryzlewicz (2018)
 <https://docs.wixstatic.com/ugd/24cdcc_6a0866c574654163b8255e272bc0001b.pdf>.
 Currently implemented scenarios are: piecewise-constant signal with Gaussian
 noise, piecewise-constant signal with heavy-tailed noise, continuous
 piecewise-linear signal with Gaussian noise, continuous piecewise-linear
 signal with heavy-tailed noise.

Package: r-cran-idf
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-evd, r-cran-ismev, r-cran-rcpproll, r-cran-pbapply, r-cran-fastmatch
Filename: pool/dists/focal/main/r-cran-idf_2.1.2-1.ca2004.1_all.deb
Size: 280976
MD5sum: fc01fe0e2191f8cf98d032ff31bad28f
SHA1: 3386d2f4b8c267c014fa16fbf4cee6b460d181f7
SHA256: 9695e6aec11cdef5378ab841aa8c79a3a911f6cd4e1cc9146b3a0fbee8ebeb5b
SHA512: 8418883350d6620f8e2cb0b693d1c862db9e06019dfef448688b783a5bb143e5cac033d051fe93f4872dbcb49481f3fc26da3e2b8189eb4c48b6dd37bd1ca39e
Homepage: https://cran.r-project.org/package=IDF
Description: CRAN Package 'IDF' (Estimation and Plotting of IDF Curves)
 Intensity-duration-frequency (IDF) curves are a widely used analysis-tool in
 hydrology to assess extreme values of precipitation [e.g. Mailhot et al.,
 2007, <doi:10.1016/j.jhydrol.2007.09.019>].  The package 'IDF' provides
 functions to estimate IDF parameters for given precipitation time series on
 the basis of a duration-dependent generalized extreme value distribution
 [Koutsoyiannis et al., 1998, <doi:10.1016/S0022-1694(98)00097-3>].

Package: r-cran-idingo
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mvtnorm, r-cran-glasso, r-cran-ggmridge, r-cran-visnetwork, r-cran-scales
Filename: pool/dists/focal/main/r-cran-idingo_1.0.4-1.ca2004.1_all.deb
Size: 303336
MD5sum: f9fc651ae4b3988f2f8642ddd2192872
SHA1: d3248e64c6e7200c748fe8ac320715ad0d7e340c
SHA256: 9535720e679e0799e4dbe2e9b0f138580950f821baa0ad275b52d677137be4d5
SHA512: 265d2ea58487960567786460c5a58fbcfec99df126ec01170b204645fce61f5983f666bb72504edc4a0f97178a14def7cac5064d93903ba9778e6d8b49a8c3a9
Homepage: https://cran.r-project.org/package=iDINGO
Description: CRAN Package 'iDINGO' (Integrative Differential Network Analysis in Genomics)
 Fits covariate dependent partial correlation matrices for integrative models
 to identify differential networks between two groups. The methods are
 described in Class et. al., (2018) <doi:10.1093/bioinformatics/btx750> and
 Ha et. al., (2015) <doi:10.1093/bioinformatics/btv406>.

Package: r-cran-idiogramfish
Architecture: all
Version: 2.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3844
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-crayon, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-scales
Suggests: r-cran-rentrez, r-cran-ggplot2, r-cran-ggpubr, r-bioc-ggtree, r-cran-phytools, r-bioc-treeio, r-cran-rmdformats, r-cran-knitr, r-cran-kableextra, r-cran-rvcheck, r-cran-badger, r-cran-rmarkdown, r-cran-rcurl, r-cran-shiny, r-cran-shinydashboard, r-cran-rhandsontable, r-cran-gtools, r-cran-rclipboard, r-cran-clipr, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-idiogramfish_2.0.13-1.ca2004.1_all.deb
Size: 1909908
MD5sum: b01923e1f92dd8111251a57b34f945d3
SHA1: edc53eb9d96383bc7ead173c8b8a3ffd2e563b13
SHA256: 936c34ffe13a462139476453b745d934ac2367688f1a4a196d418d43376db90f
SHA512: 302d13790d2eea8fc23c16a5d4a93a7b11463494c4eb95fb3c62a80c6d2380422cb3bf7c2e3b255db737d3f0dacb87b78fb9bc140cbd40fa330010cc798c3ee6
Homepage: https://cran.r-project.org/package=idiogramFISH
Description: CRAN Package 'idiogramFISH' (Shiny App. Idiograms with Marks and Karyotype Indices)
 Plot idiograms of karyotypes, plasmids, circular chr. having a set of
 data.frames for chromosome data and optionally mark data. Two styles of
 chromosomes can be used: without or with visible chromatids. Supports
 micrometers, cM and Mb or any unit. Three styles of centromeres are
 available: triangle, rounded and inProtein; and six styles of marks are
 available: square (squareLeft), dots, cM (cMLeft), cenStyle, upArrow
 (downArrow), exProtein (inProtein); its legend (label) can be drawn inline
 or to the right of karyotypes. Idiograms can also be plotted in concentric
 circles. It is possible to calculate chromosome indices by Levan et al.
 (1964) <doi:10.1111/j.1601-5223.1964.tb01953.x>, karyotype indices of
 Watanabe et al. (1999) <doi:10.1007/PL00013869> and Romero-Zarco (1986)
 <doi:10.2307/1221906> and classify chromosomes by morphology Guerra (1986)
 and Levan et al. (1964).

Package: r-cran-idiolect
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quanteda, r-cran-caret, r-cran-dplyr, r-cran-fdrtool, r-cran-ggplot2, r-cran-kgrams, r-cran-pbapply, r-cran-proc, r-cran-proxy, r-cran-quanteda.textstats, r-cran-spacyr, r-cran-stringr, r-cran-textclean
Suggests: r-cran-knitr, r-cran-readtext, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idiolect_1.0.1-1.ca2004.1_all.deb
Size: 772200
MD5sum: 90f003076c7486ee8e5d3ee6cab5c957
SHA1: e91c18eba9f8d16491bce1cefe2c5f7e04090ae0
SHA256: e077d26e55e31ac621f26a5b8f047525dbd34af6b5c23648c60c70ce1e21b6fb
SHA512: c69cdef96a3bee33d53ad01979ffc57a66cb514b1733cb5563d39741e53a9b69a1b86b65af583e58d3fae4d2ee2b9b47c4587df5ae44977a9b75ad56a1f4c7f0
Homepage: https://cran.r-project.org/package=idiolect
Description: CRAN Package 'idiolect' (Forensic Authorship Analysis)
 Carry out comparative authorship analysis of disputed and undisputed texts
 within the Likelihood Ratio Framework for expressing evidence in forensic
 science. This package contains implementations of well-known algorithms for
 comparative authorship analysis, such as Smith and Aldridge's (2011) Cosine
 Delta <doi:10.1080/09296174.2011.533591> or Koppel and Winter's (2014)
 Impostors Method <doi:10.1002/asi.22954>, as well as functions to measure
 their performance and to calibrate their outputs into Log-Likelihood Ratios.

Package: r-cran-idlfm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-sparsearray
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idlfm_1.0.0-1.ca2004.1_all.deb
Size: 30132
MD5sum: 55ffc6782af1efd37eb5cd8b13352c1a
SHA1: 0ca1d85a9e476013b782293780b729748ff288a5
SHA256: 2d1ef033929b7a846b65d396f5a54a9e818eb7d2641d9d3c08fdbfc545c74e58
SHA512: 85b80eafb16047776fbabcb8abfeffbac3b718641042d2e860cd99e22edaac3ad7095b35edfd37a2135d7d946d1b46b52358901d6079b348840f2720c622c53c
Homepage: https://cran.r-project.org/package=IDLFM
Description: CRAN Package 'IDLFM' (Individual Dynamic Latent Factor Model)
 A personalized dynamic latent factor model (Zhang et al. (2024)
 <doi:10.1093/biomet/asae015>) for irregular multi-resolution time series
 data, to interpolate unsampled measurements from low-resolution time series.

Package: r-cran-idm
Architecture: all
Version: 1.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 534
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-animation, r-cran-corpcor, r-cran-ca, r-cran-ggrepel
Suggests: r-cran-caret
Filename: pool/dists/focal/main/r-cran-idm_1.8.3-1.ca2004.1_all.deb
Size: 512180
MD5sum: eb100ce66959d6c904f545766972b183
SHA1: 0f7c8e7272344a92f9c5a44598236946a781da61
SHA256: 03272bc93afd1e6600d048b2c0296f09c193d45590fc15d13c362c96a6997443
SHA512: ed13614fa90a5902e5ed2a6703c7829c26c148750b97e02b0e145bfc5f02d7bf8db72d3a28572f62ee3b76fe57bc4de78bbeba811eba6b00eea7df27e29e8bda
Homepage: https://cran.r-project.org/package=idm
Description: CRAN Package 'idm' (Incremental Decomposition Methods)
 Incremental Multiple Correspondence Analysis and Principal Component
 Analysis.

Package: r-cran-idmact
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idmact_1.0.1-1.ca2004.1_all.deb
Size: 41656
MD5sum: 1aa9ae7108caf56f35e18cfcce1f3109
SHA1: 4f8dfd63a542621c71c80fbed5efd14ad9fb7185
SHA256: b21a7829d7a5b2e2c21071202b00f65ba66587d0415b26e2f4f5d41bfad295aa
SHA512: 2f950334324032079d5c1f9e1e08302c4052e2e83f7abe7a2d8305b8bd0e6ad857ba215dc1de01f580e0405651780b0c27c2a1ebdef308ded35e1eadef406a90
Homepage: https://cran.r-project.org/package=idmact
Description: CRAN Package 'idmact' (Interpreting Differences Between Mean ACT Scores)
 Interpreting the differences between mean scale scores across various forms
 of an assessment can be challenging. This difficulty arises from different
 mappings between raw scores and scale scores, complex mathematical
 relationships, adjustments based on judgmental procedures, and diverse
 equating functions applied to different assessment forms. An alternative
 method involves running simulations to explore the effect of incrementing
 raw scores on mean scale scores. The 'idmact' package provides an
 implementation of this approach based on the algorithm detailed in Schiel
 (1998)
 <https://www.act.org/content/dam/act/unsecured/documents/ACT_RR98-01.pdf>
 which was developed to help interpret differences between mean scale scores
 on the American College Testing (ACT) assessment. The function idmact_subj()
 within the package offers a framework for running simulations on
 subject-level scores.  In contrast, the idmact_comp() function provides a
 framework for conducting simulations on composite scores.

Package: r-cran-idmc
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-idmc_0.3.1-1.ca2004.1_all.deb
Size: 48044
MD5sum: c041c8ec09c597975a5c1e4e4698a0af
SHA1: e3759c4b52edb7d73ed814429f7297ba2787d5af
SHA256: 142074daedf3dce496cc88fa2d0304ddba2c3937113740959a6418056ddcf06d
SHA512: 9d39b83c2396967b88f546e39a85f297cf6ac0f5497e94f80418251ea8758a6724087831eaa8426a26f35f48bfc4f9ec46c4ae174f794aa99a1d7bb9af706a7b
Homepage: https://cran.r-project.org/package=idmc
Description: CRAN Package 'idmc' (Load and Wrangle IDMC Displacement Data)
 Utilities to work with data from the Internal Displacement Monitoring Centre
 (IDMC) (<https://www.internal-displacement.org/>), with convenient functions
 for loading events data from the IDMC API and transforming events data to
 daily displacement estimates.

Package: r-cran-idmeasurer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-infotheo, r-cran-lme4
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-idmeasurer_1.0.0-1.ca2004.1_all.deb
Size: 926520
MD5sum: c89191b921741a9473233f1c857aaf79
SHA1: f310eeb199b9ad9279b24fdc40cba2655363f777
SHA256: e80fedc4eaaee99a3b29a2073016aae1099ace7b77c8da9c92448f69870f3b80
SHA512: 5b657c28b5e01a4a05f3e26be69fd03352f6f5a18ee66a33d87d126ebe13b8d9fd9dac13432cd28d5d91081c73a490bafb7e126bff1688eb8b52cd4da6bc9a81
Homepage: https://cran.r-project.org/package=IDmeasurer
Description: CRAN Package 'IDmeasurer' (Assessment of Individual Identity in Animal Signals)
 Provides tools for assessment and quantification of individual identity
 information in animal signals. This package accompanies a research article
 by Linhart et al. (2019) <doi:10.1101/546143>: "Measuring individual
 identity information in animal signals: Overview and performance of
 available identity metrics".

Package: r-cran-idmining
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-idmining_1.0.7-1.ca2004.1_all.deb
Size: 106568
MD5sum: 2a53d6621693d3a49ad7b426abcfe9a4
SHA1: e7ceaddc90d7ec051954245b2a99bca1088dfbe9
SHA256: 45f411547bcb68026dfbcf425fd6474191fff31774c45a515338bdffe6b430d0
SHA512: b0d573f006a612e8c54d99bb6619448a0325e34e36e40872eea1fc04594903c52eff44070a9b0b41bc40d09b37ffeca537b556d7689afd1ca7074ad8e9f0270f
Homepage: https://cran.r-project.org/package=IDmining
Description: CRAN Package 'IDmining' (Intrinsic Dimension for Data Mining)
 Contains techniques for mining large and high-dimensional data sets by using
 the concept of Intrinsic Dimension (ID). Here the ID is not necessarily an
 integer. It is extended to fractal dimensions. And the Morisita estimator is
 used for the ID estimation, but other tools are included as well.

Package: r-cran-idmir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4267
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-egg, r-cran-fastmatch, r-cran-forestplot, r-cran-ggplot2, r-cran-igraph, r-cran-pheatmap, r-cran-survival, r-cran-survminer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-idmir_0.1.0-1.ca2004.1_all.deb
Size: 4206812
MD5sum: 17cfac789cf3cf64f8b04f20779e54ff
SHA1: 2e34d5db9210584d563bbd40f6dd2e6e2d12b20f
SHA256: 54491f20e5a108f21c01a55a6eb0d9cd585d186b841853f97bd596510e1b174a
SHA512: 5cb54236d013141d4d0af57785b968a4a36923e288c1664439e0d99e5e2df5872e0ec4d8b00428b443910ba86e5be33524d62c01861f816c5761e42b636aefb8
Homepage: https://cran.r-project.org/package=IDMIR
Description: CRAN Package 'IDMIR' (Identification of Dysregulated MiRNAs Based on MiRNA-MiRNAInteraction Network)
 A systematic biology tool was developed to identify dysregulated miRNAs via
 a miRNA-miRNA interaction network. 'IDMIR' first constructed a weighted
 miRNA interaction network through integrating miRNA-target interaction
 information, molecular function data from Gene Ontology (GO) database and
 gene transcriptomic data in specific-disease context, and then, it used a
 network propagation algorithm on the network to identify significantly
 dysregulated miRNAs.

Package: r-cran-idmodelr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1783
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-viridis, r-cran-magrittr, r-cran-purrr, r-cran-future, r-cran-furrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-desolve
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-pkgnet, r-cran-dt, r-cran-vdiffr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-idmodelr_0.4.0-1.ca2004.1_all.deb
Size: 980416
MD5sum: 22d20dff6bb2fca484dcc44d3e67660c
SHA1: 1243a4d7edb5095118058359966aa517730e0daa
SHA256: e6c148b3b5113fbac89553551db5c18cde31dda35c1cb4efd49d83711a19148e
SHA512: 12292bb04318f94b1660f4d1ace27aeb5975cf9c700202e2f4b4d41f5617196647674066377496abd4c35d24f23d949ab2c0a03a21a03e3949d3c0285bb0521a
Homepage: https://cran.r-project.org/package=idmodelr
Description: CRAN Package 'idmodelr' (Infectious Disease Model Library and Utilities)
 Explore a range of infectious disease models in a consistent framework. The
 primary aim of 'idmodelr' is to provide a library of infectious disease
 models for researchers, students, and other interested individuals. These
 models can be used to understand the underlying dynamics and as a reference
 point when developing models for research. 'idmodelr' also provides a range
 of utilities. These include: plotting functionality; a simulation wrapper;
 scenario analysis tooling; an interactive dashboard; tools for handling
 mult-dimensional models; and both model and parameter look up tables. Unlike
 other modelling packages such as 'pomp' (<https://kingaa.github.io/pomp/>),
 'libbi' (<http://libbi.org>) and 'EpiModel' (<http://www.epimodel.org>),
 'idmodelr' serves primarily as an educational resource. It is most
 comparable to epirecipes (<http://epirecip.es/epicookbook/chapters/simple>)
 but provides a more consistent framework, an R based workflow, and
 additional utility tooling.  After users have explored model dynamics with
 'idmodelr' they may then implement their model using one of these packages
 in order to utilise the model fitting tools they provide.  For newer
 modellers, this package reduces the barrier to entry by containing multiple
 infectious disease models, providing a consistent framework for simulation
 and visualisation, and signposting towards other, more research focussed,
 resources.

Package: r-cran-idopnetwork
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1883
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-orthopolynom, r-cran-desolve, r-cran-ggplot2, r-cran-reshape2, r-cran-glmnet, r-cran-igraph, r-cran-scales, r-cran-patchwork
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-idopnetwork_0.1.2-1.ca2004.1_all.deb
Size: 1673016
MD5sum: 96051d376a303b3c1f276bd72121b48e
SHA1: d1075a8b68c4c1e355aa4b77d8c8a644f95b0b03
SHA256: 2d57b5a96e1b69886a6e7ee21f1f9d66b8fd2632b85dcdca142fcc87731f8a02
SHA512: 4bd10b320ff08332ac7582c9594c72f08833f357aa7f31e2a850405f53bf9b1d93b19891fa530cbc0ade9100d419f8e349ed44a5e35618f6c196c2067e54d9ea
Homepage: https://cran.r-project.org/package=idopNetwork
Description: CRAN Package 'idopNetwork' (A Network Tool to Dissect Spatial Community Ecology)
 Most existing approaches for network reconstruction can only infer an
 overall network and, also, fail to capture a complete set of network
 properties. To address these issues, a new model has been developed, which
 converts static data into their 'dynamic' form.  'idopNetwork' is an 'R'
 interface to this model, it can inferring informative, dynamic,
 omnidirectional and personalized networks. For more information on
 functional clustering part, see Kim et al. (2008)
 <doi:10.1534/genetics.108.093690>, Wang et al. (2011)
 <doi:10.1093/bib/bbr032>. For more information on our model, see Chen et al.
 (2019) <doi:10.1038/s41540-019-0116-1>, and Cao et al. (2022)
 <doi:10.1080/19490976.2022.2106103>.

Package: r-cran-idos
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-idos_1.0.1-1.ca2004.1_all.deb
Size: 71752
MD5sum: 517892572221ba9b777085e2ac6a25f4
SHA1: d6ce10d252f3c17cfd1f3b4b1f7318604b0921a8
SHA256: d847a6cbef3de4623fa0d67ce8da31451c32817128c6df47505d2eb57496cf2b
SHA512: 2e3e099b3a08eafe19c65383ffb099164305f4b3462ad1e6a496bdea0465b7cc05e90c93b3980e70cadd1d8352241060406f62e5f2a030431d1636c6dc541377
Homepage: https://cran.r-project.org/package=iDOS
Description: CRAN Package 'iDOS' (Integrated Discovery of Oncogenic Signatures)
 A method to integrate molecular profiles of cancer patients (gene copy
 number and mRNA abundance) to identify candidate gain of function
 alterations. These candidate alterations can be subsequently further tested
 to discover cancer driver alterations. Briefly, this method tests of genomic
 correlates of mRNA dysregulation and prioritise those where DNA
 gains/amplifications are associated with elevated mRNA expression of the
 same gene. For details see, Haider S et al. (2016) "Genomic alterations
 underlie a pan-cancer metabolic shift associated with tumour hypoxia",
 Genome Biology, <https://pubmed.ncbi.nlm.nih.gov/27358048/>.

Package: r-cran-idpsurvival
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsolnp, r-cran-gtools, r-cran-survival
Filename: pool/dists/focal/main/r-cran-idpsurvival_1.2.2-1.ca2004.1_all.deb
Size: 285600
MD5sum: 9fbc1f3be734b0bd4c38ceaadbbd5563
SHA1: d85b16880cef2ab5f89e22e3fcfefda3661f2cbf
SHA256: d14dda325da887bf70f727a34c205e75d2ffcd5eb497f74d9e3f090f5bf808e8
SHA512: 072ddc1f831dbbe627b907b5da230da03bd0763f8df840f032241f55e43b5500b363cf535387131c43ef8b0e9b2390c20bdf446d4adef1423443c0516fa04dc5
Homepage: https://cran.r-project.org/package=IDPSurvival
Description: CRAN Package 'IDPSurvival' (Imprecise Dirichlet Process for Survival Analysis)
 Functions to perform robust nonparametric survival analysis with right
 censored data using a prior near-ignorant Dirichlet Process.  Mangili, F.,
 Benavoli, A., de Campos, C.P., Zaffalon, M. (2015)
 <doi:10.1002/bimj.201500062>.

Package: r-cran-idr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-idr_1.3-1.ca2004.1_all.deb
Size: 70260
MD5sum: 38eb0e3d14086d097fdc8d8fd69b0e0b
SHA1: f277e3c5ee9b93183707e4ec43c8dd458796ddad
SHA256: 3aed4a045e21b8f919b9257505f168c3bc8bc7f6211ddbd0e9f5731f727ac6a5
SHA512: 5b55649cbc4e28d352efceb7ed47e160186dd3a96f6fd47427a6cb85f9f568180117f88737da99bcef5a5bbfd307c436440c155369ffa47ab08e7553a1c35326
Homepage: https://cran.r-project.org/package=idr
Description: CRAN Package 'idr' (Irreproducible Discovery Rate)
 This is a package for estimating the copula mixture model and plotting
 correspondence curves. Details are in "Measuring reproducibility of
 high-throughput experiments" (2011), Annals of Applied Statistics, Vol. 5,
 No. 3, 1752-1779, by Li, Brown, Huang, and Bickel.

Package: r-cran-ids
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openssl, r-cran-uuid
Suggests: r-cran-knitr, r-cran-rcorpora, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ids_1.0.1-1.ca2004.1_all.deb
Size: 118544
MD5sum: 24568003457b385231b890df36e3de61
SHA1: 336d8f23c2a18db857d3d38ace6b9371785fcfa5
SHA256: 2a0b3f5f355a659b2108d77cf7d0bd59bf2ebe5a1c7f25324822094f78fe18a0
SHA512: ed89620a35aa652862f8be1977dcbce0aa25963d83f8a8d2573fca7a9c804ea091b6f89b2140add26bdd4b944ef7230828429a88ecae577329f2e9fff91dc412
Homepage: https://cran.r-project.org/package=ids
Description: CRAN Package 'ids' (Generate Random Identifiers)
 Generate random or human readable and pronounceable identifiers.

Package: r-cran-idsa
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gd, r-cran-ggplot2, r-cran-reshape2, r-cran-kableextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-idsa_2.1-1.ca2004.1_all.deb
Size: 310632
MD5sum: b5213f58d5d063677e1c2c7726898d9d
SHA1: 14a57b867a454753dd8867132c5f816ad09a2310
SHA256: 76b10a1f323164ce7c23595ca6d50c069cde91d6812d9fc2cb0f4c192e90a1b7
SHA512: 0d3100e19e69a0fb4d2a9657ae82b6a5ffdc4398eb55bf175c026df8cfd5fd0e92cbcda0a92152da80f9fea8bc6f4ad6369d360414e3597f06525eddf6c49eb4
Homepage: https://cran.r-project.org/package=IDSA
Description: CRAN Package 'IDSA' (An Interactive Detector for Spatial Associations)
 Method of interactive detector for spatial associations (IDSA) as described
 in Yongze Song (2021) <doi:10.1080/13658816.2021.1882680>.  IDSA is used to
 quantify the power of interactive determinant (PID) between a spatial
 response variable and explanatory variables.  IDSA is developed based on
 methods of spatial heterogeneity.

Package: r-cran-idsl.csa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-idsl.mxp, r-cran-idsl.ipa, r-cran-idsl.fsa, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-idsl.csa_1.2-1.ca2004.1_all.deb
Size: 401036
MD5sum: 7b69a775015fb38f2f00d312b3859d03
SHA1: 143c0e760d2603af0a01c23a2835c2e7ecaf165d
SHA256: de7cb525eaf126e40ef14abc8dce13e6e1a01075dda18332e7b918278c3cb43e
SHA512: b3b5769111babf6ac622a6215696cbd4885c78250de325c6327bb900cb77b7a12d3c113eabc76db01830fb3401123862a48ae457cec37e0f2764dd52b217ce69
Homepage: https://cran.r-project.org/package=IDSL.CSA
Description: CRAN Package 'IDSL.CSA' (Composite Spectra Analysis (CSA) for High-Resolution MassSpectrometry Analyses)
 A fragmentation spectra detection pipeline for high-throughput LC/HRMS data
 processing using peaklists generated by the 'IDSL.IPA' workflow
 <doi:10.1021/acs.jproteome.2c00120>. The 'IDSL.CSA' package can deconvolute
 fragmentation spectra from Composite Spectra Analysis (CSA), Data Dependent
 Acquisition (DDA) analysis, and various Data-Independent Acquisition (DIA)
 methods such as MS^E, All-Ion Fragmentation (AIF) and SWATH-MS analysis. The
 'IDSL.CSA' package was introduced in <doi:10.1021/acs.analchem.3c00376>.

Package: r-cran-idsl.fsa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-readxl
Filename: pool/dists/focal/main/r-cran-idsl.fsa_1.2-1.ca2004.1_all.deb
Size: 352508
MD5sum: 6403243fd6c9a4fd0f76a2f14f4bab75
SHA1: 7fd96d890a2ffdb87288604172ea4705cf65955a
SHA256: b66c345ec3bad452c837cb8c24ad8ad5d48718f3084d068340c2a9390e308263
SHA512: 24a438fe5bffd5acf886a59cf6929993d005b3f1e832166cabdb4d6b9228fcdcc7173594e16d48ed82b59e4b483d4124ac31943f8e67c994906c4525d346e02f
Homepage: https://cran.r-project.org/package=IDSL.FSA
Description: CRAN Package 'IDSL.FSA' (Fragmentation Spectra Analysis (FSA))
 The 'IDSL.FSA' package was designed to annotate standard .msp (mass spectra
 format) and .mgf (Mascot generic format) files using mass spectral entropy
 similarity, dot product (cosine) similarity, and normalized Euclidean mass
 error (NEME) followed by intelligent pre-filtering steps for rapid spectra
 searches. 'IDSL.FSA' also provides a number of modules to convert and
 manipulate .msp and .mgf files. The 'IDSL.FSA' workflow was integrated in
 the 'IDSL.CSA' and 'IDSL.NPA' packages introduced in
 <doi:10.1021/acs.analchem.3c00376>.

Package: r-cran-idsl.ipa
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-idsl.mxp, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-idsl.ipa_2.9-1.ca2004.1_all.deb
Size: 376280
MD5sum: 8837b278a32e97bf1300df2a366b5a9d
SHA1: 4f4a7bd1b8b0bc3a787c6df7e4f736a3158dcdcb
SHA256: ce3dbaa5a62c1b7d78256d2e8c36d7773df6a5afd1f4214b72b3a0d9555726ad
SHA512: 28e8f2c87c574d5d9b6210b2442007a7e0b44d1c07752f335b4f9085a8c3ad4355dab45b4e974dab5321d3a5c1f30314bc4ba8a0a4a1998726295d27683d592b
Homepage: https://cran.r-project.org/package=IDSL.IPA
Description: CRAN Package 'IDSL.IPA' (Intrinsic Peak Analysis (IPA) for HRMS Data)
 A multi-layered untargeted pipeline for high-throughput LC/HRMS data
 processing to extract signals of organic small molecules. The package
 performs ion pairing, peak detection, peak table alignment, retention time
 correction, aligned peak table gap filling, peak annotation and
 visualization of extracted ion chromatograms (EICs) and total ion
 chromatograms (TICs). The 'IDSL.IPA' package was introduced in
 <doi:10.1021/acs.jproteome.2c00120> .

Package: r-cran-idsl.mxp
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-base64enc
Suggests: r-cran-rnetcdf
Filename: pool/dists/focal/main/r-cran-idsl.mxp_2.0-1.ca2004.1_all.deb
Size: 60332
MD5sum: 84b9a5c3f47d18ed32345bc96de70bba
SHA1: 82c00f64d8c2927a388a3e105d09d9258a766fd3
SHA256: 7728988b6dfa7a83e61a9aa049bf601cf644c2e4fad6ac1b5ca0bdfdacf9bc30
SHA512: bf4ca9aa1f1903fa710ad38e3332d04bcde2f8a426cd10750cb19c442fe85cb9eff049f2be460516b8b43ab34f1c4e6979a279ae06aea83b0871e660cee5d7ff
Homepage: https://cran.r-project.org/package=IDSL.MXP
Description: CRAN Package 'IDSL.MXP' (Parser for mzML, mzXML, and netCDF Files (Mass SpectrometryData))
 A tiny parser to extract mass spectra data and metadata table of mass
 spectrometry acquisition properties from mzML, mzXML and netCDF files
 introduced in <doi:10.1021/acs.jproteome.2c00120>.

Package: r-cran-idsl.npa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-idsl.mxp, r-cran-idsl.ipa, r-cran-idsl.fsa, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-idsl.npa_1.2-1.ca2004.1_all.deb
Size: 119124
MD5sum: 9b82c4b84d45cd57c6c429c88ab99c2e
SHA1: 3f4c3c510631cf6b0638c153fb21c89e05e8174a
SHA256: 37bddf1dcd40c9407ed52b63a6d06202a814d2fa4284ec69cd7f4160f499942a
SHA512: 5484d7a0e24370890997e59eeb829626dc2090a52b2ece63073a346ad73e7add60089a8f1a1413a3f2fd0babf859cbd441ba5cb4aaa4090a33b8b031efe3a1d7
Homepage: https://cran.r-project.org/package=IDSL.NPA
Description: CRAN Package 'IDSL.NPA' (Nominal Peak Analysis (NPA))
 A pipeline to process nominal mass spectrometry data to create .msp files
 for untargeted analyses.

Package: r-cran-idsl.sufa
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-idsl.sufa_1.3-1.ca2004.1_all.deb
Size: 67300
MD5sum: 8b0c929320b74c6149b691654ae15b03
SHA1: cf5288083965b791d9b7c6970a0251283a511311
SHA256: ebf41bc190a35d651bebd4370127d78bb00d018a58a6717e0e3ae3b7e9e084e6
SHA512: 8cdbb2c071486224282c3826585398325711acf7445701fd5c9749829eaa127bebd8bfe620ee630ce8a0e600217616defb1a680d4263a29dabab9d188b28c919
Homepage: https://cran.r-project.org/package=IDSL.SUFA
Description: CRAN Package 'IDSL.SUFA' (Simplified UFA)
 A simplified version of the 'IDSL.UFA' package to calculate isotopic
 profiles and adduct formulas from molecular formulas with no dependency on
 other R packages for online tools and educational mass spectrometry courses.
 The 'IDSL.SUFA' package also provides an ancillary module to process
 user-defined adduct formulas.

Package: r-cran-idsl.ufa
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-idsl.ipa, r-cran-readxl
Suggests: r-cran-ga
Filename: pool/dists/focal/main/r-cran-idsl.ufa_2.0-1.ca2004.1_all.deb
Size: 340760
MD5sum: f716876e119d74e57f05d6ce9e968bdb
SHA1: 25f0d710b1eccbb831c9899626cb497c1aad37db
SHA256: cb960bdcf5b2c9785049bab437bcb14e19bc261fab703cf285685a190e2cb4ef
SHA512: d3edbd98d17795e7989447ab4334c3a90bcf9ebff10f5c7b260074ec98f2fc40aa6c92bbadc69e515078b7ab44d806563ca7742fa74c9d6ce6d2efda7d3a650a
Homepage: https://cran.r-project.org/package=IDSL.UFA
Description: CRAN Package 'IDSL.UFA' (United Formula Annotation (UFA) for HRMS Data Processing)
 A pipeline to annotate chromatography peaks from the 'IDSL.IPA' workflow
 <doi:10.1021/acs.jproteome.2c00120> with molecular formulas of a prioritized
 chemical space using an isotopic profile matching approach. The 'IDSL.UFA'
 workflow only requires mass spectrometry level 1 (MS1) data for formula
 annotation. The 'IDSL.UFA' methods was described in
 <doi:10.1021/acs.analchem.2c00563> .

Package: r-cran-idsl.ufax
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-idsl.ipa, r-cran-readxl, r-cran-rcppalgos
Filename: pool/dists/focal/main/r-cran-idsl.ufax_1.9.1-1.ca2004.1_all.deb
Size: 57756
MD5sum: be585d46150c7978df553f9bf1cfc6e0
SHA1: cac2236d6a24b678b2e2166e01058719e8020512
SHA256: 8bd74f1b8f43be634bb5e36f0e583fdcef4a11fe549b6cb8bb5d87d767eff4a2
SHA512: 5248a884a4aa0c514a743226ad7d1ae0c2790656da544f918e5748be9ce3944c285bebdaf0bff38fc04fa81cae623fc64e7d45ac5f09d45ef16f0a585ce5d368
Homepage: https://cran.r-project.org/package=IDSL.UFAx
Description: CRAN Package 'IDSL.UFAx' (Exhaustive Chemical Enumeration for United Formula Annotation)
 A pipeline to annotate a number of peaks from the 'IDSL.IPA' peaklists using
 an exhaustive chemical enumeration-based approach. This package can perform
 elemental composition calculations using the following 15 elements : C, B,
 Br, Cl, K, S, Si, N, H, As, F, I, Na, O, and P.

Package: r-cran-idx2r
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-idx2r_1.0.0-1.ca2004.1_all.deb
Size: 15572
MD5sum: 14ac63444dbbd98872244f844238293f
SHA1: e5c8d8392a03b62cb7ae44274735ba39c214b697
SHA256: 8a16168383259f1bac84645bbd9d153620b41bf5302ceb91d022fddecb803155
SHA512: cc85632ef0ba9b483a1a09a43bf7d1c31c62442a01b8bae2b9f18a71d960a80bde864a18cff581aee4fd7b29e6d5707922f895477be885006bb7b13b84fdbd36
Homepage: https://cran.r-project.org/package=idx2r
Description: CRAN Package 'idx2r' (Convert Files to and from IDX Format to Vectors, Matrices andArrays)
 Convert files to and from IDX format to vectors, matrices and arrays.  IDX
 is a very simple file format designed for storing vectors and
 multidimensional matrices in binary format. The format is described on the
 website from Yann LeCun <http://yann.lecun.com/exdb/mnist/>.

Package: r-cran-idynor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4638
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-idynor_1.0-1.ca2004.1_all.deb
Size: 4591900
MD5sum: 4ce7a5f82aa27308d3fbec8a6bdf7524
SHA1: e278ed4ec7c443c7393f8bccdf41e6c66452a819
SHA256: 33cf5dfce0d4e929200db280d74093977266dbd108e8d6c683c0ad9a7ac8bc41
SHA512: 78c9af8d1976fb286ab3f427fa03de6deb4045c292bdbceea716439bd5f79b06b0cfdb0d2d543e126eb504b4dc78563b2cefb995d13a5704cfb2ee1c93e1cfa7
Homepage: https://cran.r-project.org/package=iDynoR
Description: CRAN Package 'iDynoR' (R Analysis package for iDynoMiCS Simulation Results)
 iDynoMiCS is a computer program, developed by an international team of
 researchers, whose purpose is to model and simulate microbial communities in
 an individual-based way. It is described in detail in the paper "iDynoMiCS:
 next-generation individual-based modelling of biofilms" by Lardon et al,
 published in Environmental Microbiology in 2011. The simulation produces
 results in XML file format, describing the state of each species in each
 timestep (agent_State), a summary of the species statistics for a timepoint
 (agent_Sum), the state of each solute grid in each timestep (env_State) and
 a summary of the solutes for a timestep (env_Sum). This R package provides a
 means of reading this XML data into R such that the simulation response can
 be statistically analysed. iDynoMiCS is available from the website
 iDynoMiCS.org, where a full tutorial on using both the simulation and this R
 package is provided.

Package: r-cran-ie2misc
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-openxlsx, r-cran-gwidgets2, r-cran-stringi, r-cran-mgsub, r-cran-reader, r-cran-lubridate, r-cran-data.table, r-cran-assertthat, r-cran-checkmate
Suggests: r-cran-rando, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ie2misc_0.9.1-1.ca2004.1_all.deb
Size: 181820
MD5sum: c087642cdfd037208abd070a6f068412
SHA1: a7e8a1780b4e1246509228e29556a85c5945eb0d
SHA256: 3238145733e09617e4d3e913b6c145166d4b632a04f2220fbb3a9ffc6fccd080
SHA512: a2f0e48a74a12771ee877be281d81f69666d6664c007cd26e3805fe250c2f87d7b351f2ee65e3e0a27e46435966dd40b8a3f74e63e7eaa355ad73743108db476
Homepage: https://cran.r-project.org/package=ie2misc
Description: CRAN Package 'ie2misc' (Irucka Embry's Miscellaneous USGS Functions)
 A collection of Irucka Embry's miscellaneous USGS functions (processing .exp
 and .psf files, statistical error functions, "+" dyadic operator for use
 with NA, creating ADAPS and QW spreadsheet files, calculating saturated
 enthalpy). Irucka created these functions while a Cherokee Nation Technology
 Solutions (CNTS) United States Geological Survey (USGS) Contractor and/or
 USGS employee.

Package: r-cran-ie2miscdata
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2099
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-install.load, r-cran-data.table, r-cran-usa.state.boundaries, r-cran-spatstat.geom, r-cran-ggplot2, r-cran-stringi, r-cran-mgsub, r-cran-knitr, r-cran-rmarkdown, r-cran-reader, r-cran-sf, r-cran-rvest, r-cran-spelling, r-cran-lubridate, r-cran-gotop
Filename: pool/dists/focal/main/r-cran-ie2miscdata_1.0.4-1.ca2004.1_all.deb
Size: 1740952
MD5sum: ab0c1713c85a9a82eb38cf8b7acc5e40
SHA1: 94763f8fec1d3ea4d35fae8a2db1f90a1c072070
SHA256: 617ef7b81c3554d752c51ef2f8b1e584545be4538f66c3d21a00cc99ec2f81de
SHA512: fef734459ba88c6e28d4cd90991864c5e2e30a78c48e4a90df37a837382c05820c27249ed99d8a221cdf09909472e7d8ca9edd03d0032e05279742c4ea37dd35
Homepage: https://cran.r-project.org/package=ie2miscdata
Description: CRAN Package 'ie2miscdata' (Irucka Embry's Miscellaneous USGS Data Collection)
 A collection of Irucka Embry's miscellaneous USGS data sets (USGS Parameter
 codes with fixed values, USGS global time zone codes, and US Air Force
 Global Engineering Weather Data). Irucka created these data sets while a
 Cherokee Nation Technology Solutions (CNTS) United States Geological Survey
 (USGS) Contractor and/or USGS employee.

Package: r-cran-ieegio
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-digest, r-cran-fastmap, r-cran-filearray, r-cran-freesurferformats, r-cran-fs, r-cran-fst, r-cran-gifti, r-cran-hdf5r, r-cran-jsonlite, r-cran-oro.nifti, r-cran-r.matlab, r-cran-r6, r-cran-readnsx, r-cran-rpyants, r-cran-stringr, r-cran-yaml
Suggests: r-cran-reticulate, r-cran-ravetools, r-cran-rgl, r-cran-rnifti, r-cran-rpymat, r-cran-xml2, r-cran-knitr, r-cran-r3js, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ieegio_0.0.4-1.ca2004.1_all.deb
Size: 673208
MD5sum: 1f300098051b4eea5f1bb6db0abe99dc
SHA1: 26717a8be0541dba7af96069d997bd419f8653fe
SHA256: 93c347c2a78efaba840e3c7aa36eaecad315b36fd5228a932d7da6def03cc4e8
SHA512: f8d128a8058184e65e6cacf49a6ea26b8980f25a80cf7e1bb298b342d36b4e63aa5f46bd862e70709782eda857580d29d94f275e7624705c222ef0bf49d307f1
Homepage: https://cran.r-project.org/package=ieegio
Description: CRAN Package 'ieegio' (File IO for Intracranial Electroencephalography)
 Integrated toolbox supporting common file formats used for intracranial
 Electroencephalography (iEEG) and deep-brain stimulation (DBS) study.

Package: r-cran-iemisc
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2137
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-pracma, r-cran-iemiscdata, r-cran-gsubfn, r-cran-fpcompare, r-cran-units, r-cran-stringi, r-cran-assertthat, r-cran-rivr, r-cran-checkmate, r-cran-chem.databases, r-cran-ramify, r-cran-foreach, r-cran-data.table, r-cran-measurements, r-cran-roperators, r-cran-berryfunctions, r-cran-round, r-cran-usa.state.boundaries, r-cran-sf, r-cran-ggplot2, r-cran-ggpubr, r-cran-matlab, r-cran-sjmisc, r-cran-lubridate, r-cran-anytime, r-cran-mgsub, r-cran-geosphere, r-cran-matlab2r, r-cran-signal, r-cran-qdapregex
Suggests: r-cran-install.load, r-cran-knitr, r-cran-import, r-cran-fractional, r-cran-fracture, r-cran-mass, r-cran-rmarkdown, r-cran-tinytest, r-cran-maps, r-cran-spelling, r-cran-sampler, r-cran-callr, r-cran-rando, r-cran-geometry, r-cran-linguisticsdown, r-cran-airthermo, r-cran-hydraulics, r-cran-ie2misc, r-cran-formatr, r-cran-pander, r-cran-printr, r-cran-tibble, r-cran-lintr, r-cran-opencpu
Filename: pool/dists/focal/main/r-cran-iemisc_1.0.5-1.ca2004.1_all.deb
Size: 1676536
MD5sum: bdf62ddc5790790ddd9a28c18c1de26f
SHA1: b0e6337010b4208fba67f57879f95772f40e8c8e
SHA256: 5609200a36b7e95c28cfc43ef418c3506fb53b312b9d0252a1e8e9000978fb80
SHA512: b7af0a503374b7218c14afe822b104b736e57b87d09e697b4e553341dd43188c56f2a5b01fe4818920f3eaddbc655fdfb9cecb26cc2047dd5b42ea092a4e71ba
Homepage: https://cran.r-project.org/package=iemisc
Description: CRAN Package 'iemisc' (Irucka Embry's Miscellaneous Functions)
 A collection of Irucka Embry's miscellaneous functions (Engineering
 Economics, Civil & Environmental/Water Resources Engineering, Construction
 Measurements, GNU Octave compatible functions, Python compatible function,
 Trigonometric functions in degrees and function in radians, Geometry,
 Statistics, Mortality Calculators, Quick Search, etc.).

Package: r-cran-iemiscdata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2631
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-install.load, r-cran-rivr, r-cran-rvest, r-cran-data.table, r-cran-ggplot2, r-cran-stringi, r-cran-qdap, r-cran-lubridate, r-cran-knitr, r-cran-snakecase, r-cran-rmarkdown, r-cran-usa.state.boundaries, r-cran-sfheaders, r-cran-sf, r-cran-dplyr, r-cran-spelling, r-cran-pander, r-cran-units, r-cran-round, r-cran-anytime, r-cran-mgsub, r-cran-chem.databases, r-cran-kableextra, r-cran-flextable, r-cran-formatr, r-cran-xopen
Filename: pool/dists/focal/main/r-cran-iemiscdata_1.0.3-1.ca2004.1_all.deb
Size: 2389668
MD5sum: a857c16a825a277ae6bcaed02b167613
SHA1: faeb19ac066be47cb87f1da121ea2b911063dd1b
SHA256: 5ad3902053a9b2de0b438142f1e33f1100571970a61a31790f28b3a405068919
SHA512: a3b26babc64265ec34e7c82af4903e611f54a88e9a42f3e35b0abf58f683dd36f1a1285a491d440beca46d8ce0a0ab72c376c8c86ad89239b4f9a3462b5e30eb
Homepage: https://cran.r-project.org/package=iemiscdata
Description: CRAN Package 'iemiscdata' (Irucka Embry's Miscellaneous Data Collection)
 Miscellaneous data sets [Chemistry, Engineering Economics,
 Environmental/Water Resources Engineering, Nuclear Accidents, US
 Presidential Elections, and US Continental Congress Presidents].

Package: r-cran-iemisctext
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-install.load, r-cran-tm, r-cran-knitr, r-cran-rmarkdown, r-cran-xopen, r-cran-spelling, r-cran-formatr, r-cran-data.table, r-cran-ggwordcloud, r-cran-cffr, r-cran-bibtex
Filename: pool/dists/focal/main/r-cran-iemisctext_1.0.1-1.ca2004.1_all.deb
Size: 575416
MD5sum: 8710d8502e66e8f1434dd7c784e44e50
SHA1: b9db12dc358cc90522368fb5142175b1be946cf5
SHA256: c1195c4c0f08f8ed9bbed25ff81e0e18a53592e2e808c8a15bbfbad8df8d224a
SHA512: 6ec993b34eec6ec32d13a69e69c4825257711cb7efa1d69682ae0c0fadb5a6fa9688c0a4424ba62788f225bd0b088df712d87b173b6ec7716936ef14dec877ff
Homepage: https://cran.r-project.org/package=iemisctext
Description: CRAN Package 'iemisctext' (Irucka Embry's Miscellaneous Text Collection)
 An eclectic collection of short stories and poetry with topics on climate
 strange, connecting the geopolitical dots, the myth of us versus them, and
 the idiocy of war. Please refer to the COPYRIGHTS file and the
 text_citation.cff file for the reference copyright information and for the
 complete citations of the reference sources, respectively.

Package: r-cran-ietd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-foreach, r-cran-doparallel, r-cran-ggplot2, r-cran-dplyr, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ietd_1.0.0-1.ca2004.1_all.deb
Size: 266732
MD5sum: 1031cc168db42ddbdac7b1120fb62daa
SHA1: ba2516ba1c20b73b04fc707ef79b1858340c55a2
SHA256: 8e41e8937600cb47373efc3de9ee46b0fd22e851ab64825e31eca12a98f36213
SHA512: b3fc350723abb511ff2083750e59cf2d7ed6ee4e4155c83dc4e581a1672ea9c47d4be4cab63fe3ec2b6514032de042ede2e0b552d96914229f000e97ed206a82
Homepage: https://cran.r-project.org/package=IETD
Description: CRAN Package 'IETD' (Inter-Event Time Definition)
 Computes characteristics of independent rainfall events (duration, total
 rainfall depth, and intensity) extracted from a sub-daily rainfall time
 series based on the inter-event time definition (IETD) method. To have a
 reference value of IETD, it also analyzes/computes IETD values through three
 methods: autocorrelation analysis, the average annual number of events
 analysis, and coefficient of variation analysis. Ideal for analyzing the
 sensitivity of IETD to characteristics of independent rainfall events.
 Adams B, Papa F (2000) <ISBN: 978-0-471-33217-6>.  Joo J et al. (2014)
 <doi:10.3390/w6010045>.  Restrepo-Posada P, Eagleson P (1982)
 <doi:10.1016/0022-1694(82)90136-6>.

Package: r-cran-ieugwasr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ieugwasr_1.0.4-1.ca2004.1_all.deb
Size: 131560
MD5sum: 09e7d33e50786405f708242ffec5800c
SHA1: 98f7a0cb790aaeffe13750ddf4f4c6ab76773da5
SHA256: be105652d7937cd67cdffe4a23d9f3386c4c5db8f032e4013609bf10fe600df4
SHA512: bcbd5605cf672753c429e35a33e1892eab25e5c35ded4a6d25435371845b4881fdafa92e99a17b1f880b3a223052e11bb8664af64d9156cefa66181535c552bf
Homepage: https://cran.r-project.org/package=ieugwasr
Description: CRAN Package 'ieugwasr' (Interface to the 'OpenGWAS' Database API)
 Interface to the 'OpenGWAS' database API <https://api.opengwas.io/api/>.
 Includes a wrapper to make generic calls to the API, plus convenience
 functions for specific queries.

Package: r-cran-ifaa
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mathjaxr, r-cran-dorng, r-cran-foreach, r-cran-matrix, r-cran-hdci, r-cran-doparallel, r-cran-glmnet, r-bioc-summarizedexperiment, r-cran-stringr, r-bioc-s4vectors, r-cran-desctools, r-cran-matrixextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-runit, r-bioc-biocgenerics, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-ifaa_1.1.2-1.ca2004.1_all.deb
Size: 413264
MD5sum: bbcb242b9bfc9695cc4840283e983b9e
SHA1: c23180cdeb843ff564c2f807b6a4a9d7254aad82
SHA256: 11dd91c8831a82ae93c3121859e0c7072620570e639b1a92b859a91c11d87d19
SHA512: 9600e7ca2a7304893393d6ddbdb164d1323a7bc450ff288a96c006eefc1a0ebdb2badf6ebbb0d511bc8d04d463f325f8d7fa295f18ccb7bb07c3ea4cd0c031a9
Homepage: https://cran.r-project.org/package=IFAA
Description: CRAN Package 'IFAA' (Robust Inference for Absolute Abundance in Microbiome Analysis)
 This package offers a robust approach to make inference on the association
 of covariates with the absolute abundance (AA) of microbiome in an
 ecosystem.  It can be also directly applied to relative abundance (RA) data
 to make inference on AA because the ratio of two RA is equal to the ratio of
 their AA. This algorithm can estimate and test the associations of interest
 while adjusting for potential confounders. The estimates of this method have
 easy interpretation like a typical regression analysis. High-dimensional
 covariates are handled with regularization and it is implemented by parallel
 computing.  False discovery rate is automatically controlled by this
 approach. Zeros do not need to be imputed by a positive value for the
 analysis. The IFAA package also offers the 'MZILN' function for estimating
 and testing associations of abundance ratios with covariates.

Package: r-cran-ifad
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlab, r-cran-mass, r-cran-coda, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-ifad_3.0-1.ca2004.1_all.deb
Size: 132260
MD5sum: c6cf8e968d5f74fb3994a3af578abec6
SHA1: b4505a8098004248599d57d7a87f2ab502e97046
SHA256: 218fcd4e223c9cc2e6d955dca0292a33aa7cd93097b754599cf9998e54f54e8d
SHA512: 10d10aa7fdc102fb4b9974a9ac4e7cec4e35f22becdf1951db7cd46cda8b2122d35f2f947bf8ca8b5790cc9ea02c15c096584f681990cc13ea7376e4ad72fc0b
Homepage: https://cran.r-project.org/package=iFad
Description: CRAN Package 'iFad' (An integrative factor analysis model for drug-pathwayassociation inference)
 This package implements a Bayesian sparse factor model for the joint
 analysis of paired datasets, one is the gene expression dataset and the
 other is the drug sensitivity profiles, measured across the same panel of
 samples, e.g., cell lines. Prior knowledge about gene-pathway associations
 can be easily incorporated in the model to aid the inference of drug-pathway
 associations.

Package: r-cran-ifatools
Architecture: all
Version: 0.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 805
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-reshape2, r-cran-rpf, r-cran-openmx
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-gridextra, r-cran-plyr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-ifatools_0.23-1.ca2004.1_all.deb
Size: 505068
MD5sum: 543dc265e7dc577a60769730c4749462
SHA1: 36c739bb8af848bf88960a17df24f1ca8bf0c065
SHA256: 8d0f37180db40df20ae4de08a84d54d948d91f46126b7a2d22ae7d9d75b7dde3
SHA512: 73255189c59298710baf0be0c90408cec59f6be0b1def93b682fd47e7bc215cbb3d900b4edb6b5f4bd7ef0ffd53551aee3c12d55eb4b36fdc2618c7329241cd4
Homepage: https://cran.r-project.org/package=ifaTools
Description: CRAN Package 'ifaTools' (Toolkit for Item Factor Analysis with 'OpenMx')
 Tools, tutorials, and demos of Item Factor Analysis using 'OpenMx'.  This
 software is described in Pritikin & Falk (2020)
 <doi:10.1177/0146621620929431>.

Package: r-cran-ifcnvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-rmarkdown, r-cran-isotree
Filename: pool/dists/focal/main/r-cran-ifcnvr_0.1.0-1.ca2004.1_all.deb
Size: 483500
MD5sum: 6eb8a67ec8b371c97bbf168428d64dcd
SHA1: 05d612fbd15bae659c703c6c85e0feae4554cafb
SHA256: 92293fa4a819b80f16aef676f8b5da34a19fc034043c5b962d74b2d07013aef7
SHA512: 8937cf85ab619186a808acfd3809bbadd8a8a775d64bfaa73fe13d7c60c4bb17abea9923730f66fc8bba870620f6e06172bb23249e17bb8bbc14cbb7aba976b0
Homepage: https://cran.r-project.org/package=ifCNVR
Description: CRAN Package 'ifCNVR' (Isolation-Forest Based 'CNV' Detection from 'NGS' Data)
 Automatically detects Copy Number Variations (CNV) from Next Generation
 Sequencing data using a machine learning algorithm, Isolation forest. More
 details about the method can be found in the paper by Cabello-Aguilar (2022)
 <doi:10.1101/2022.01.03.474771>.

Package: r-cran-ife
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-generics, r-cran-s7
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ife_0.1.12-1.ca2004.1_all.deb
Size: 29868
MD5sum: 6f3d169409b690f8ce122d3d015a68c5
SHA1: f99e4f35a72143baa22e20697598d71dacb440c1
SHA256: ebbc5adc1d0e188e0edc9a7619ed79d561da181727543d892eb4c7513ea898f9
SHA512: d43779236ddbcba0423897999118adda4cab2039ee242a4da19321bcf0fd2ca55554da278061de6f00725e466acf62d19b6fcd736d6cc6842200215066dc622e
Homepage: https://cran.r-project.org/package=ife
Description: CRAN Package 'ife' (Influence Function Based Estimate Objects)
 Implements an S7 class for estimates based on influence functions.  Standard
 arithmetic operations are defined for the class.

Package: r-cran-ifmcdm
Architecture: all
Version: 0.1.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ifmcdm_0.1.17-1.ca2004.1_all.deb
Size: 35700
MD5sum: cebcf32c11733286fda1e8f6654239fa
SHA1: 9dfd676ebd15ce51f23044be0671d720beb697fb
SHA256: 614f375ab917da0b32824b2ad9839ff5f9ef196dde02d70748a25fe53583d051
SHA512: 5aa9093a32f043d10b77471bb569aae3b859f7db94938e231a9593dcfd17a699f5483edc3785ada292a64ad363fcd405f16a3261d9964f9419d21cef44a672f4
Homepage: https://cran.r-project.org/package=IFMCDM
Description: CRAN Package 'IFMCDM' (Intuitionistic Fuzzy Multi-Criteria Decision Making Methods)
 Implementation of two multi-criteria decision making methods (MCDM):
 Intuitionistic Fuzzy Synthetic Measure (IFSM) and Intuitionistic Fuzzy
 Technique for Order of Preference by Similarity to Ideal Solution (IFTOPSIS)
 for intuitionistic fuzzy data sets for multi-criteria decision making
 problems. References describing the methods: Jefmański (2020)
 <doi:10.1007/978-3-030-52348-0_4>; Jefmański, Roszkowska, Kusterka-Jefmańska
 (2021) <doi:10.3390/e23121636>.

Package: r-cran-ifo
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-readxl, r-cran-rvest
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ifo_0.2.1-1.ca2004.1_all.deb
Size: 271828
MD5sum: 048d1694ff05acb54faebd0a09d868d2
SHA1: 5cf10ad749d90cff031b1bfd0f4f822a656b7b22
SHA256: 24e94e63276b8e4b40a7e0eb7ee26d51c938c6768918a9b33b80d44985c831ac
SHA512: 0dd9d58a755098008261d3ebe5f65c2bd5e14afc0cd79e0b4e304fe017babd5be5b605f12bdb584753064e08cf5ae8d85d9dfa44f23db0f65ed679b2f74a299c
Homepage: https://cran.r-project.org/package=ifo
Description: CRAN Package 'ifo' (Client for the Ifo Institute Time Series)
 Download ifo business survey data and more time series from ifo institute
 <https://www.ifo.de/en/ifo-time-series>.

Package: r-cran-iforecast
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-zoo
Suggests: r-cran-forecast, r-cran-h2o, r-cran-kernlab, r-cran-lubridate, r-cran-timeseries, r-cran-timedate, r-cran-xts
Filename: pool/dists/focal/main/r-cran-iforecast_1.1.2-1.ca2004.1_all.deb
Size: 141944
MD5sum: e921d20a2431d4fe390c976267458034
SHA1: 142bb0c4dd8878e95401f74c45db9fd2967da732
SHA256: 4382b28dffd2275c0eeef8be52953361aaa63a33547b99ae40d57e6dbdc7f702
SHA512: 49536627adbce5699f4c9876132695bf94baf5ad68c00741ca1630270dbff94c7fe4af2c1b4903cb6a447b0345d78e0bae761f40b7259fd50d7babdb9c13f977
Homepage: https://cran.r-project.org/package=iForecast
Description: CRAN Package 'iForecast' (Machine Learning Time Series Forecasting)
 Compute onestep and multistep time series forecasts for machine learning
 models.

Package: r-cran-ifpd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 817
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-ifpd_0.1.0-1.ca2004.1_all.deb
Size: 721648
MD5sum: d5fc3256593f69c5a87e2b1b33a4b366
SHA1: 196743f5d7c2cf07448305cb83c628a6630e56ee
SHA256: d6132fb7d53a6d87e4585db15c7ea9cc906c1788ddfef7235ce8e134334205b3
SHA512: de46414a7aaa78a682f7c952e86a3ef83bb4ebdf59db14f66dee3d448ec509a4b9f1375dbed13fd2cf04393bf7d1ef80f7911bdb792a0add9b6802988672598a
Homepage: https://cran.r-project.org/package=ifpd
Description: CRAN Package 'ifpd' (Indonesia Food Prices Data)
 Imputation of missing values using the last observation carried forward
 technique on Indonesia food prices data that is time series data. Also, this
 technique applies imputation to data whose dates do not appear directly. So
 that the series assumptions in the time series data are met.

Package: r-cran-iftpredictor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-diftree
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iftpredictor_0.1.0-1.ca2004.1_all.deb
Size: 33988
MD5sum: 3e4248a713046d081cb03ff6dc0a0d47
SHA1: d389fec1b318556e95b1f18c2571ee54731d53d0
SHA256: b37e47d8de8a2d1d245c11c46fcbef50c4cacab7f4b2876896986a7bd2da09c4
SHA512: 70b76bff47be33c414d28b5214e759991a109477bccd1db7b0d80177648c598e24b0e631b5a89b6e409d9c68748045585f7a55270eeb44bddb58562751460e3f
Homepage: https://cran.r-project.org/package=IFTPredictor
Description: CRAN Package 'IFTPredictor' (Predictions Using Item-Focused Tree Models)
 This function predicts item response probabilities and item responses using
 the item-focused tree model. The item-focused tree model combines logistic
 regression with recursive partitioning to detect Differential Item
 Functioning in dichotomous items. The model applies partitioning rules to
 the data, splitting it into homogeneous subgroups, and uses logistic
 regression within each subgroup to explain the data.  Differential Item
 Functioning detection is achieved by examining potential group differences
 in item response patterns. This method is useful for understanding how
 different predictors, such as demographic or psychological factors,
 influence item responses across subgroups.

Package: r-cran-ig.degree.betweenness
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-igraphdata, r-cran-rlist, r-cran-bbmisc, r-cran-qgraph, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ig.degree.betweenness_0.2.0-1.ca2004.1_all.deb
Size: 33904
MD5sum: 233844e9dd2d4cfe3295b1a5102bc899
SHA1: 0b0e658a058fd705ab7e612e57a00b145f281f2d
SHA256: 9b6a7d72b891247d287d057a0dc609d5715b29ddc824a31f6f130dbaa2179fb9
SHA512: 2a775e016f6b5647329fccc26fab6462f273b2997b2c13e2b307c50a9edbb9b2923177e8a7247cbc123ffb468b056d25cc8e992ac245541ff6694111f7c4b492
Homepage: https://cran.r-project.org/package=ig.degree.betweenness
Description: CRAN Package 'ig.degree.betweenness' ("Smith-Pittman Community Detection Algorithm for 'igraph'Objects (2024)")
 Implements the "Smith-Pittman" community detection algorithm for network
 analysis using 'igraph' objects. This algorithm combines node degree and
 betweenness centrality measures to identify communities within networks,
 with a gradient evident in social partitioning. The package provides
 functions for community detection, visualization, and analysis of the
 resulting community structure. Methods are based on results from Smith,
 Pittman and Xu (2024) <doi:10.48550/arXiv.2411.01394>.

Package: r-cran-ig.vancouver.2014.topcolour
Architecture: all
Version: 0.1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1305
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ig.vancouver.2014.topcolour_0.1.2.0-1.ca2004.1_all.deb
Size: 1304012
MD5sum: 21dcfb70bd0f8d215a8bf62eb7909094
SHA1: 4f927e5d6daf9bdedd2bdc654165e7b850138f27
SHA256: c906e5791809f34453d828a38b0e4f042924c55dece74981c298e02101af72e7
SHA512: cc517519fd74671ee6e897868c0f7e3a92b5b435197d54466ebaafb6210efec1ecceb905e5b18969aabf109c22fede903cc5095093b21c8a362599db81dfaca9
Homepage: https://cran.r-project.org/package=ig.vancouver.2014.topcolour
Description: CRAN Package 'ig.vancouver.2014.topcolour' (Instagram 2014 Vancouver Top Colour Dataset)
 A dataset of the top colours of photos from Instagram taken in 2014 in the
 city of Vancouver, British Columbia, Canada.  It consists of: top colour and
 counts data. This data was obtained using the Instagram API. Instagram is a
 web photo sharing service. It can be found at: <https://instagram.com>.  The
 Instagram API is documented at: <https://instagram.com/developer/>.

Package: r-cran-igapfill
Architecture: all
Version: 0.0.41-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6520
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-raster, r-cran-terra, r-cran-gapfill, r-cran-gtools, r-cran-numbers, r-cran-doparallel, r-cran-foreach, r-cran-geots, r-cran-iterators, r-cran-itertools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-heatmaply, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-igapfill_0.0.41-1.ca2004.1_all.deb
Size: 2636384
MD5sum: 6b2b2ff9d4148e84da9d063fbf8c9256
SHA1: 36deeb52f09486794455a431645206adb4f1892d
SHA256: 2f0e9a5c012d5013c5c9c42282051796f7593fff790655ed110badaa5c65e6b7
SHA512: e5285a0b4e3fb9c274aa6f12361130451554aceca037589d7ae196e67dc961eb0678175870984af6c98d23dab1ec3cb3a9c4b98b34c5d58571db2a0505859b2c
Homepage: https://cran.r-project.org/package=igapfill
Description: CRAN Package 'igapfill' (Interface for Gap-Filling Earth Observation Datasets)
 Provides functions and a user-friendly console-based interface for the
 efficient use of the main function of the R package 'gapfill' to fill
 missing values of satellite images subsets. In addition to the R package
 documentation, the 'gapfill' methods are introduced in Gerber et al. (2018)
 <doi:10.1109/TGRS.2017.2785240>.

Package: r-cran-igascores
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-igascores_0.1.2-1.ca2004.1_all.deb
Size: 67552
MD5sum: 874b32215dd6f302814d3b8f41251568
SHA1: b148c85eb04ee0226f3f9b3d66c72065ca8f47df
SHA256: fee09919b16ccef56c1b02c61cf90b3e7000c8452e30807aa8cbac14d8e6d66f
SHA512: 098fdc850f09a87d49f3f0b9d4b859541e372d586dab4a483936a253e3911422a98387689ee58ee0967faeb34f9a91a0fee163862883641c4f8f10021086ce45
Homepage: https://cran.r-project.org/package=IgAScores
Description: CRAN Package 'IgAScores' (Score Taxon-Level IgA Binding in IgA-Seq Experiments)
 Functions to calculate indices used to score immunoglobulin A (IgA) binding
 of bacteria in IgA sequencing (IgA-Seq) experiments.  This includes the
 original Kau and Palm indices and more recent methods as described in
 Jackson et al. (2020) <doi:10.1101/2020.08.19.257501>.  Additionally the
 package contains a function to simulate IgA-Seq data and an example
 experimental data set for method testing.

Package: r-cran-igasso
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-compquadform, r-cran-mass, r-cran-mbess
Filename: pool/dists/focal/main/r-cran-igasso_1.6.1-1.ca2004.1_all.deb
Size: 74296
MD5sum: e81b867ad9605fa6535dc48985e91f0f
SHA1: da5e8348087481647d5bbf7c23c2bad480d12b9b
SHA256: e2d443a3427807531d64e9987038d29b67781dc5cd7b2606d9aab123436eb3be
SHA512: 1398cb49d36fd9892c2feb26902a9b1174a8e5bccc188201b895b8193e7abdd24bcf91f47545874b4126df357a6d7c8765e1a4601dba1d07623446e92cc62bba
Homepage: https://cran.r-project.org/package=iGasso
Description: CRAN Package 'iGasso' (Statistical Tests and Utilities for Genetic Association)
 A collection of statistical tests for genetic association studies and
 summary data based Mendelian randomization.

Package: r-cran-igate
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-stringr, r-cran-knitr, r-cran-xtable, r-cran-kableextra, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-igate_0.3.3-1.ca2004.1_all.deb
Size: 175732
MD5sum: 0cd2d19cd7b66cc63364fb6a19d44b07
SHA1: 758828978f711cf8bbaabed0ebccb25283e1b6aa
SHA256: 2020810b8885cab6cad542f3552f1e0e0c1c1c038ffaf38536550cd5d86c0de8
SHA512: a4c46462067c9cdf31bd73fe1a9f8b402dc10fd3c153624b7a59b93f432193b4e84a745ae5f1d12af6def41c26a3e1ba0e5f7a0f2e8c427a93730641868721cf
Homepage: https://cran.r-project.org/package=igate
Description: CRAN Package 'igate' (Guided Analytics for Testing Manufacturing Parameters)
 An implementation of the initial guided analytics for parameter testing and
 controlband extraction framework. Functions are available for continuous and
 categorical target variables as well as for generating standardized reports
 of the conducted analysis. See <https://github.com/stefan-stein/igate> for
 more information on the technology.

Package: r-cran-igc.csm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-igc.csm_0.2.0-1.ca2004.1_all.deb
Size: 54392
MD5sum: 16c30b3c711eea3838b8db978b22440f
SHA1: c66ef74b85998614323147f7dc17aa5ded40d4d6
SHA256: 9db0e6bc1eefea1fd26ae89dbcb1c0a0988ed65ea493756c8ba51cbb63e68494
SHA512: b859d5611b708c78d0b9b86ab6d012cd2d515af37fcb69bb090f30c6a64ba6c700d7bc651028b960f15b914993e6df721ec5eaea35788b19a711778935e74a7d
Homepage: https://cran.r-project.org/package=IGC.CSM
Description: CRAN Package 'IGC.CSM' (Simulate Impact of Different Urban Policies Through a GeneralEquilibrium Model)
 Develops a General Equilibrium (GE) Model, which estimates key variables
 such as wages, the number of residents and workers, the prices of the floor
 space, and its distribution between commercial and residential use, as in
 Ahlfeldt et al., (2015) <doi:10.3982/ECTA10876>. By doing so, the model
 allows understanding the economic influence of different urban policies.

Package: r-cran-igcities
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-igcities_0.2.0-1.ca2004.1_all.deb
Size: 52336
MD5sum: 253ef1ddf572b88e8278afc9ed66964e
SHA1: c00444255f9613c4ffcca9989c60d7b1ada18ea9
SHA256: 39e9b2a9205a91e960f75609de970ee7a73cb9f222795bc21cf4e1d682e892eb
SHA512: 785310560b053af17cabaabda52df6cf57704aefbb2e5638cb671fbb6168060848f23e558cecac022fdc871fcb37a096b8be81f049599ec8d7fc6e9b065bd8a2
Homepage: https://cran.r-project.org/package=IGCities
Description: CRAN Package 'IGCities' (Simulate Impact of Different Urban Policies Through a GeneralEquilibrium Model)
 Develops a General Equilibrium (GE) Model, which estimates key variables
 such as wages, the number of residents and workers, the prices of the floor
 space, and its distribution between commercial and residential use, as in
 Ahlfeldt et al., (2015)
 <https://onlinelibrary.wiley.com/doi/abs/10.3982/ECTA10876>. By doing so,
 the model allows understanding the economic influence of different urban
 policies.

Package: r-cran-iglu
Architecture: all
Version: 4.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3435
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-catools, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-hms, r-cran-lubridate, r-cran-magrittr, r-cran-patchwork, r-cran-pheatmap, r-cran-scales, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-zoo, r-cran-gtable, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iglu_4.2.2-1.ca2004.1_all.deb
Size: 2256628
MD5sum: 2fbabaef4dcca94aba86b54ff0433d6b
SHA1: 40d0d9f0bf6bda586b84fbaab492ace5e3bda000
SHA256: 0e7e901cb3c8907927162e4d15bc52f27fc615cd852efb963324d6088a366785
SHA512: 6fd5cab60a8bf2cfba799c0463225c4af1242fb15e43c02b37cf699b18069d0597f4843503d31cc17870862f0ea115b8df1b8b93e63747ac9f5a1a2efefa930b
Homepage: https://cran.r-project.org/package=iglu
Description: CRAN Package 'iglu' (Interpreting Glucose Data from Continuous Glucose Monitors)
 Implements a wide range of metrics for measuring glucose control and glucose
 variability based on continuous glucose monitoring data. The list of
 implemented metrics is summarized in Rodbard (2009)
 <doi:10.1089/dia.2009.0015>. Additional visualization tools include
 time-series plots, lasagna plots and ambulatory glucose profile report.

Package: r-cran-igor
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1504
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-countrycode, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-igor_0.2.1-1.ca2004.1_all.deb
Size: 1088536
MD5sum: a7141761cbf55ccb387a547580bb8d8c
SHA1: 30121104137c11065a47307acc3abbc820c1f7da
SHA256: 7a6f87e2df8117d334e006c107e56f553f5d2c80c2538d208d2c8db655d691c1
SHA512: abbb8c4e6b99c6598e6f7cdd7c1997b1a4e9bbfe3f279a2c8a4fef495bc69166b4019bfa2bae4aa17db8dbd366fcd998a26e41b26b81c73ac80faba9a6c85f51
Homepage: https://cran.r-project.org/package=igoR
Description: CRAN Package 'igoR' (Intergovernmental Organizations Database)
 Tools to extract information from the Intergovernmental Organizations
 ('IGO') Database , version 3, provided by the Correlates of War Project
 <https://correlatesofwar.org/>. See also Pevehouse, J.  C. et al. (2020).
 Version 3 includes information from 1815 to 2014.

Package: r-cran-igorr
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 876
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bitops, r-cran-timechange
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-igorr_0.9.0-1.ca2004.1_all.deb
Size: 259624
MD5sum: ddfdb39a9f31d3fba8c4837138c4e41e
SHA1: cd5ea1d71c9652c6550539b76ca58d9fca477e82
SHA256: e210c840546cad5127eee4001ac8fe93c5f16f2fcd1fd3d58d0db20c107dbae8
SHA512: 476ce62a72c40ffaf363e48ae2d65741beffe973f9c4dbc5745fb7737b5ac95ec16aee066567d1aa6a52fb3e486c7b31a9341e3a8a27905ecfd0ca7bc65afbe7
Homepage: https://cran.r-project.org/package=IgorR
Description: CRAN Package 'IgorR' (Read Binary Files Saved by 'Igor Pro' (Including 'Neuromatic'Data))
 Provides function to read data from the 'Igor Pro' data analysis program by
 'Wavemetrics'. The data formats supported are 'Igor' packed experiment
 format ('pxp') and 'Igor' binary wave ('ibw'). See:
 <https://www.wavemetrics.com/> for details. Also includes functions to load
 special 'pxp' files produced by the 'Igor Pro' 'Neuromatic' and 'Nclamp'
 packages for recording and analysing neuronal data. See
 <https://github.com/SilverLabUCL/NeuroMatic> for details.

Package: r-cran-igorrr
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 977
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinyfiles, r-cran-htmltools, r-cran-rhandsontable, r-cran-sortable, r-cran-purrr, r-cran-stringr, r-cran-glue, r-cran-lubridate, r-cran-zoo, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-fuzzyjoin, r-cran-rio, r-cran-jsonlite, r-cran-arrow, r-cran-fst, r-cran-feather, r-cran-haven, r-cran-readxl, r-cran-readods, r-cran-hmisc, r-cran-skimr, r-cran-tables, r-cran-ggformula, r-cran-mapsf, r-cran-clipr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-igorrr_0.3.4-1.ca2004.1_all.deb
Size: 891536
MD5sum: bd2897e3a1dd8975425f291b9748531f
SHA1: a235a71af9ee99ec81ab580920b047d12072b28a
SHA256: 6d818c741cc08c584ff94e42827cab37faabe44a0ba52516bd2187ec1aa6f2b0
SHA512: 454094490704e0ad76ff5eb60f01386cf9817eba5f30bc1d543687cbbd4c691bcb26a21d57e3c1767655e01e3dbaecfde8bb1f81614f973047655dfe7d477cce
Homepage: https://cran.r-project.org/package=IGoRRR
Description: CRAN Package 'IGoRRR' (A Shiny Interface for Simple Data Management)
 Launches a shiny application generating code to view tables in several ways,
 import/export tables, modify tables, make some basic graphics.  'IGoR' is a
 graphic user interface designed to help beginners using simple functions
 around table management and exploration.  Inspired by 'Rcmdr', 'IGoR' is a
 code generator that, with simple inputs under a Shiny application, provides
 R code mainly built around the 'tidyverse' or some packages in the direct
 line of the Mosaic project: the 'rio' and 'ggformula' packages.  The
 generated code doesn't depend on IGoR and can be manually modified by the
 user or copied elsewhere.

Package: r-cran-igp
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-reticulate
Suggests: r-cran-gpfit, r-cran-lagp, r-cran-mlegp, r-cran-tgp, r-cran-dicekriging, r-cran-cgp, r-cran-gaupro, r-cran-hetgp, r-cran-testthat, r-cran-lhs, r-cran-ggplot2, r-cran-reshape, r-cran-contourfunctions, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-igp_0.2.1-1.ca2004.1_all.deb
Size: 578348
MD5sum: 8fb1fe9ea15d93200bde64dbd18b633f
SHA1: d18c960e36e1a525289abf7570a3a1a09613a00a
SHA256: 32a0a3b8bb92914eb739af8740ce4cd12d333639a783577d6acb2f99853b0b06
SHA512: 7f87a508239ed24d020637c5aa5f368b0463a46b0291c3db8661b49028fbb6fd0a4fbb4aac5f51f555d16f0ff3fbb4975569da87daed0db526af731ce65b25ed
Homepage: https://cran.r-project.org/package=IGP
Description: CRAN Package 'IGP' (Interchangeable Gaussian Process Models)
 Creates a Gaussian process model using the specified package.  Makes it easy
 to try different packages in same code, only the package argument needs to
 be changed.  It is essentially a wrapper for the other Gaussian process
 software packages.  For more info about Gaussian process software and
 comparison of various options, see Erickson et al. (2018)
 <doi:10.1016/j.ejor.2017.10.002>.

Package: r-cran-igr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-testthat, r-cran-tmap, r-cran-units
Filename: pool/dists/focal/main/r-cran-igr_1.0.0-1.ca2004.1_all.deb
Size: 116504
MD5sum: a6849dae41f54d5a0553981d45b48ee9
SHA1: cd616f97e4cd81ba39b6b8a99cc44669888771b9
SHA256: e9b5ea6ec8f53c52fc4ff627bbbbf3b48438286ed7b43940b7914f0ffed44a3e
SHA512: 5f8ffd1e40a80917577adbf9c9d29b7dc10f19fcde65e0503a3fa9df678814d6134e81416d9c606c66ac93c6c8fa3607fdf19c8eb1a11d8581d7848af4db5698
Homepage: https://cran.r-project.org/package=igr
Description: CRAN Package 'igr' (Irish Grid Reference Utilities)
 Convert between Irish grid references and Irish Grid coordinates. Irish grid
 references can also be converted to or from an 'sf' object in any coordinate
 reference system. Precisions from 1 m to 100 km including 2 km (tetrads) are
 supported, as are datasets with mixed precision. Conversion to 'sf' polygons
 is precision-aware.

Package: r-cran-igraphdata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1018
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-igraph
Filename: pool/dists/focal/main/r-cran-igraphdata_1.0.1-1.ca2004.1_all.deb
Size: 984868
MD5sum: 4ab3a59c2023d12ba6f8c1aa08bd3f7b
SHA1: ee7f9d0f4cbb01393f2f71a12e176600d5fc5dd5
SHA256: 69be90c8daf24686cd84cfdbf2a4adbb9c19fec9ae31cd3b7474e3d47f5cedff
SHA512: e114b889e4b0ee0700e972af14b3132016e526d9fd75af48d67d8c3c1f6e34c7c502e414822bc61632db9e6486dc76ea40c62bebc390c78bf93d02fe0a69b80e
Homepage: https://cran.r-project.org/package=igraphdata
Description: CRAN Package 'igraphdata' (A Collection of Network Data Sets for the 'igraph' Package)
 A small collection of various network data sets, to use with the 'igraph'
 package: the Enron email network, various food webs, interactions in the
 immunoglobulin protein, the karate club network, Koenigsberg's bridges,
 visuotactile brain areas of the macaque monkey, UK faculty friendship
 network, domestic US flights network, etc.

Package: r-cran-igraphinshiny
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-igraphinshiny_0.1-1.ca2004.1_all.deb
Size: 19760
MD5sum: 32c7f89a8f8d656c546b30d02603ba4d
SHA1: 1800fee3d093041c1ff076c5d96aef7f8b734334
SHA256: c677f1e4957ee6a808b1da7d4c95ac1d0de3c473bf5eca1f4c7451b8136ef52f
SHA512: b66325fa05714043882f312fedabfe09ab4e9c825815cc8f24c1bd045a5418904690c61445ae0dda3cef9f5b3b275324c0ba50c1790013a4d88a2efccec417ec
Homepage: https://cran.r-project.org/package=igraphinshiny
Description: CRAN Package 'igraphinshiny' (Use 'shiny' to Demo 'igraph')
 Using 'shiny' to demo 'igraph' package makes learning graph theory easy and
 fun.

Package: r-cran-igraphtosonia
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-igraphtosonia_1.0-1.ca2004.1_all.deb
Size: 23356
MD5sum: cb7a9b5a0e52f0cc0933c2bcab5eead3
SHA1: 55ccf8f008cc71d305d77a8dc0157a33cb7d2a9f
SHA256: c370eaca3a879af78f2704953d00724168d76e9e9038f62e2a38a154428e92bd
SHA512: c9490f331b5771f39bf3f53c6b552ba8c9f09a984be4cc39c0417b1c72f6b9cbf2b32cd1ba790c91270e7aee51c54aa096ebe75e1840c28c2cf90b759232461c
Homepage: https://cran.r-project.org/package=igraphtosonia
Description: CRAN Package 'igraphtosonia' (Convert iGraph graps to SoNIA .son files)
 This program facilitates exporting igraph graphs to the SoNIA file format

Package: r-cran-igraphwalshdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-igraphwalshdata_0.1.0-1.ca2004.1_all.deb
Size: 1485944
MD5sum: 47381a903580d9acbdf9b11a46a37102
SHA1: 63f9d10ac50d49b70c2a6388f8ded43d162aaa4a
SHA256: 9d92044eaa722581f8bccc99b5b91ae4984b8f803f5f8c1ebd91f26000f0941c
SHA512: 6453a23a7b1474c7594f81c9e1678ebf0e79b58ac93b41758e348cefdaaa93be56e0712630e19a367b2c3e6dc010194e801445787dcf2e4444acae99071be3aa
Homepage: https://cran.r-project.org/package=igraphwalshdata
Description: CRAN Package 'igraphwalshdata' ('igraph' Datasets from Melanie Walsh)
 Interesting 'igraph' datasets from Melanie Walsh's sample social network
 datasets repository
 <https://github.com/melaniewalsh/sample-social-network-datasets>.

Package: r-cran-igsea
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-igsea_1.2-1.ca2004.1_all.deb
Size: 26088
MD5sum: 1aebc58fb3200e7f25ce13a932bce671
SHA1: 2ba862388cfedf7eb8dd66db12b5059b46fd1e7d
SHA256: 4e4f94935ac35cee53fa844f14a6c115f830b955b24446cbbdfc413e29897947
SHA512: 6a3a95fea6943364b512777532ed376f4feabae1f57e22c74c8794523b7699dbd8b62f5163c3276f63f1485e4f4f0c23705fd5a61b75c2651cedfa7f557d3bca
Homepage: https://cran.r-project.org/package=iGSEA
Description: CRAN Package 'iGSEA' (Integrative Gene Set Enrichment Analysis Approaches)
 To integrate multiple GSEA studies, we propose a hybrid strategy, iGSEA-AT,
 for choosing random effects (RE) versus fixed effect (FE) models, with an
 attempt to achieve the potential maximum statistical efficiency as well as
 stability in performance in various practical situations. In addition to
 iGSEA-AT, this package also provides options to perform integrative GSEA
 with testing based on a FE model (iGSEA-FE) and testing based on a RE model
 (iGSEA-RE). The approaches account for different set sizes when testing a
 database of gene sets. The function is easy to use, and the three approaches
 can be applied to both binary and continuous phenotypes.

Package: r-cran-igst
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-bootmrmr
Filename: pool/dists/focal/main/r-cran-igst_0.1.0-1.ca2004.1_all.deb
Size: 112048
MD5sum: 52b496f249b82f9eed75070e07787c92
SHA1: 6f0834f4369bc1fd5dfd82a72498186a71def5ce
SHA256: 85bbec400a259735cf33fc70de7a795aa496d49f7001b9fe5a932e1cea46bf36
SHA512: 8173fba75f6cecbb60ed9c63e1369e2c5617c19a7ceca3de8354062169524cdc93851b89e41bf406e66ee663b14c0801cd2f9a0ef21f41bac4e906d66d45ec79
Homepage: https://cran.r-project.org/package=IGST
Description: CRAN Package 'IGST' (Informative Gene Selection Tool)
 Mining informative genes with certain biological meanings are important for
 clinical diagnosis of disease and discovery of disease mechanisms in plants
 and animals. This process involves identification of relevant genes and
 removal of redundant genes as much as possible from a whole gene set. This
 package selects the informative genes related to a specific trait using gene
 expression dataset. These trait specific genes are considered as informative
 genes. This package returns the informative gene set from the high
 dimensional gene expression data using a combination of methods SVM and MRMR
 (for feature selection) with bootstrapping procedure.

Package: r-cran-ihclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-factoextra, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-ihclust_0.1.0-1.ca2004.1_all.deb
Size: 143228
MD5sum: 2a4ac8e9b45d278e851eff614125c710
SHA1: 22e033371e72063dacc10a10e59af415b34bc799
SHA256: e1e215cb45492e8670cf6f39e25c46cd81d1aced8821ed00c1ff618b131c4628
SHA512: 8a4bc3037be530f8475707cfbb72112a0b387ad4ecb2d1e2ef6a04d74c313c32b02c60c18333ea752f580c24a3f50406083a05809442366d7fc64c52072e4a7f
Homepage: https://cran.r-project.org/package=ihclust
Description: CRAN Package 'ihclust' (Iterative Hierarchical Clustering (IHC))
 Provides a set of tools to i) identify geographic areas with significant
 change over time in drug utilization, and ii) characterize common change
 over time patterns among the time series for multiple geographic areas.  For
 reference, see below: 1. Song, J., Carey, M., Zhu, H., Miao, H., Ram´ırez,
 J. C., & Wu, H. (2018) <doi:10.1504/IJCBDD.2018.10011910> 2. Wu, S., Wu, H.
 (2013) <doi:10.1186/1471-2105-14-6> 3. Carey, M., Wu, S., Gan, G. & Wu, H.
 (2016) <doi:10.1016/j.idm.2016.07.001>.

Package: r-cran-iheatmapr
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4434
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-ggdendro, r-cran-fastcluster, r-cran-rcolorbrewer, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-scales, r-cran-knitr
Suggests: r-cran-htmltools, r-cran-shiny, r-cran-testthat, r-cran-rmarkdown, r-cran-reshape2, r-cran-roxygen2, r-cran-covr, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-iheatmapr_0.7.1-1.ca2004.1_all.deb
Size: 1413784
MD5sum: 42ef3f58d8bc24e12584fd7818aed683
SHA1: cc83e667e277ee1cacedee4b14b48ed2be3972d4
SHA256: fb0f15318a4c25d6b95467fa0a71a9d68ad92d9824b5f273b1a24f280c2bf9fc
SHA512: 69a7a85dfedfd0dacadae1087f54420b3e55f6e9437581ae17632aa169a2aec9cad00d265a58c305a57a1e2d9cb17dd837dd3817f295e2deb5b05288a6ed58cf
Homepage: https://cran.r-project.org/package=iheatmapr
Description: CRAN Package 'iheatmapr' (Interactive, Complex Heatmaps)
 Make complex, interactive heatmaps. 'iheatmapr' includes a modular system
 for iteratively building up complex heatmaps, as well as the iheatmap()
 function for making relatively standard heatmaps.

Package: r-cran-iheiddown
Architecture: all
Version: 0.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4727
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bookdown, r-cran-dplyr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-xaringan, r-cran-crayon, r-cran-pdftools, r-cran-rlang, r-cran-servr, r-cran-readr, r-cran-rstudioapi, r-cran-tibble, r-cran-tidytext, r-cran-bib2df, r-cran-stringr, r-cran-fs, r-cran-usethis, r-cran-gender, r-cran-pagedown
Suggests: r-cran-testthat, r-cran-kableextra, r-cran-knitr, r-cran-dt, r-cran-leaflet, r-cran-remotes, r-cran-modelsummary, r-cran-gt
Filename: pool/dists/focal/main/r-cran-iheiddown_0.9.7-1.ca2004.1_all.deb
Size: 3259712
MD5sum: 5465693a62e832c4d3613d63c384c160
SHA1: 6c87d5306c8958197cd5e50432b3b8654abbb652
SHA256: c0af9146383269c71bb6b5d28dfd3921eb6f7a3dcb9693d01b326e555703b767
SHA512: 0d4d88e2c7dae4aef33c1c89da1092b551f7cc55d576244e764ba26502e0213b189447fdbcc9ac189a930e5166e601d9f28cd502c5fa1ae4619970ec85973d1a
Homepage: https://cran.r-project.org/package=iheiddown
Description: CRAN Package 'iheiddown' (For Writing Geneva Graduate Institute Documents)
 A set of tools for writing documents according to Geneva Graduate Institute
 conventions and regulations.  The most common use is for writing and
 compiling theses or thesis chapters, as drafts or for examination with
 correct preamble formatting.  However, the package also offers users to
 create HTML presentation slides with 'xaringan', complete problem sets,
 format posters, and, for course instructors, prepare a syllabus.  The
 package includes additional functions for institutional color palettes, an
 institutional 'ggplot' theme, a function for counting manuscript words, and
 a bibliographical analysis toolkit.

Package: r-cran-ihpdr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-rvest, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ihpdr_1.2.1-1.ca2004.1_all.deb
Size: 230352
MD5sum: 9cbeca386d1b1e7d9c340d411bc0694a
SHA1: 4f73efdd9dd1403bfa66bcec68078a69cda5d8ac
SHA256: b7d8dd29e1fdee0436f6eceb5b339937694258dd36a8e71632096f26a973f33e
SHA512: b2872f1108cdbcd4fdd85d5696a0b690026d36221b5368057d2c915dfbec3c32918ad60d31093f753130064c49aad901b2be0226bd12bb4cd1a74955c53b742e
Homepage: https://cran.r-project.org/package=ihpdr
Description: CRAN Package 'ihpdr' (Download Data from the International House Price Database)
 Web scraping the <https://www.dallasfed.org> for up-to-date data on
 international house prices and exuberance indicators. Download data in tidy
 format.

Package: r-cran-iimi
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-cran-caret, r-cran-data.table, r-cran-dplyr, r-bioc-genomicalignments, r-bioc-iranges, r-cran-mltools, r-cran-randomforest, r-bioc-rsamtools, r-cran-xgboost, r-cran-rdpack, r-cran-mtps, r-cran-r.utils, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-httr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-iimi_1.2.1-1.ca2004.1_all.deb
Size: 2632948
MD5sum: 7c0509cd8eee7fa09586abcf5e6ddf51
SHA1: c03707b5bef837e5c537064bd959e8a0c5c0175d
SHA256: 24cc2b169727b3087817e4300d035b1edaa3aab07c2bb3b2bf034629469d9858
SHA512: 126671191a70ee2951a11342ce9f9edb3148ca6bd79b1b1b9452f84cbba196d798128cfed9ccbe63a2c6c4439639fcc1398fe402768a946f1912f34430f45b9e
Homepage: https://cran.r-project.org/package=iimi
Description: CRAN Package 'iimi' (Identifying Infection with Machine Intelligence)
 A novel machine learning method for plant viruses diagnostic using genome
 sequencing data. This package includes three different machine learning
 models, random forest, XGBoost, and elastic net, to train and predict mapped
 genome samples. Mappability profile and unreliable regions are introduced to
 the algorithm, and users can build a mappability profile from scratch with
 functions included in the package. Plotting mapped sample coverage
 information is provided.

Package: r-cran-iineq
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-iineq_1.0.2-1.ca2004.1_all.deb
Size: 23660
MD5sum: 89cdd9f06e98cfa0a721221ca650c879
SHA1: dbde4a835814efa1db33db59f40d9377d9e409f2
SHA256: 84abbb9ecfd57970ba3ef2ec8659d8d6f396eaa2f97db4cd638821fde466b2f6
SHA512: 8e694ac80dd6762d688eaa25931ffd427d9f9268c1e7fe83a904bc90f12bb183334409a54025f657b616cadf826e974e0fb9cbafc07bb77ee341552aa09bb049
Homepage: https://cran.r-project.org/package=iIneq
Description: CRAN Package 'iIneq' (Computing Individual Components of the Gini and the TheilIndices)
 Computes individual contributions to the overall Gini and Theil's T and
 Theil's L measures and their decompositions by groups such as race, gender,
 national origin, with the three functions of iGini(), iTheiT(), and
 iTheilL(). For details, see Tim F. Liao (2019)
 <doi:10.1177/0049124119875961>.

Package: r-cran-iiproductionunknown
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-iiproductionunknown_0.0.3-1.ca2004.1_all.deb
Size: 73464
MD5sum: f7ed8858d85905565ab205c60cdcc62f
SHA1: 49a4755defae02b837fa1ad0cf13d3a7ae64805d
SHA256: b137193e53c8dcf5b7f0a271232d06c9e71aff285b294661b249cbb4a0e795ff
SHA512: cc14e61997ccb0c1fd9c6fd0aa99c41f71da99d3ea97558eeb54196aad5094bbb029bcf62f1d68c1fbc8ae0971ae7f67a9a9657b5d03ffa1596eb84eb7e01f40
Homepage: https://cran.r-project.org/package=IIProductionUnknown
Description: CRAN Package 'IIProductionUnknown' (Analyzing Data Through of Percentage of Importance Indice(Production Unknown) and Its Derivations)
 The Importance Index (I.I.) can determine the loss and solution sources for
 a system in certain knowledge areas (e.g., agronomy), when production (e.g.,
 fruits) is known (Demolin-Leite, 2021). Events (e.g., agricultural pest) can
 have different magnitudes (numerical measurements), frequencies, and
 distributions (aggregate, random, or regular) of event occurrence, and I.I.
 bases in this triplet (Demolin-Leite, 2021)
 <https://cjascience.com/index.php/CJAS/article/view/1009/1319>. Usually, the
 higher the magnitude and frequency of aggregated distribution, the greater
 the problem or the solution (e.g., natural enemies versus pests) for the
 system (Demolin-Leite, 2021). However, the final production of the system is
 not always known or is difficult to determine (e.g., degraded area
 recovery). A derivation of the I.I. is the percentage of Importance
 Index-Production Unknown (% I.I.-PU) that can detect the loss or solution
 sources, when production is unknown for the system (Demolin-Leite, 2024)
 <DOI:10.1590/1519-6984.253218>.

Package: r-cran-iis
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-asbio, r-cran-bsda, r-cran-hmisc, r-cran-nsm3, r-cran-rfit
Filename: pool/dists/focal/main/r-cran-iis_1.1-1.ca2004.1_all.deb
Size: 320188
MD5sum: 08fa432a82cedf46e90aec6b7f1ce7de
SHA1: f30d504dcbeca7d21aa0ae35da2dfa60980b4968
SHA256: 9ada949c21a58f06f1c3f0ba2ed2f4dc5dccf95d2d35fde96c8122ccd48280ce
SHA512: 39f142b1d9853ccf17f9284a89e9bf6130f2d1f089743cc54bffd4ae02448d48370c842d53b7a9eb7b8dccff8a14c51aead83997cdfce620e08a718335990085
Homepage: https://cran.r-project.org/package=IIS
Description: CRAN Package 'IIS' (Datasets to Accompany Wolfe and Schneider - IntuitiveIntroductory Statistics)
 These datasets and functions accompany Wolfe and Schneider (2017) -
 Intuitive Introductory Statistics (ISBN: 978-3-319-56070-0)
 <doi:10.1007/978-3-319-56072-4>. They are used in the examples throughout
 the text and in the end-of-chapter exercises. The datasets are meant to
 cover a broad range of topics in order to appeal to the diverse set of
 interests and backgrounds typically present in an introductory Statistics
 class.

Package: r-cran-iivpredictor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r2jags, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iivpredictor_0.1.0-1.ca2004.1_all.deb
Size: 32784
MD5sum: 6116e11ec6f9feb6de4ac3d551891419
SHA1: ddb0fe597f6daa829c480a82df51f3943e209ccb
SHA256: 79ab9506828839845f6c92c743ca0ec2e80de2285e47a66be4c0034ca1ce1870
SHA512: d4ef746a0b1bf251afba864284ef9b108e0126de596c6208b4108e8721d728ff3eec5c3d2f9de86d03dc4c666b16c065fb63bf7a1675bd86264cfb17b8b9cde4
Homepage: https://cran.r-project.org/package=IIVpredictor
Description: CRAN Package 'IIVpredictor' (Modeling Within Individual Variability as Predictor)
 Time parceling method and Bayesian variability modeling methods for modeling
 within individual variability indicators as predictors.For more details, see
 <https://github.com/xliu12/IIVpredicitor>.

Package: r-cran-ijse
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-posterior
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ijse_0.1.1-1.ca2004.1_all.deb
Size: 15812
MD5sum: 02f4a8ffcac54de5cf6e36b0dbd4f322
SHA1: 4dcd4b9cd2f68b01dba30331223d8eafb8093beb
SHA256: 4e8b9816c0502e9b74f44d42a82acd1b8234e81bf82d59c211f35a55adf896f4
SHA512: e7bbc19e09aedb0006315542559a44055306cc99d528339f5e790c080759cf5ed7a284c8fce4bf59473da42099606ba21d99325254ea5aea6ce50e30473add75
Homepage: https://cran.r-project.org/package=IJSE
Description: CRAN Package 'IJSE' (Infinite-Jackknife-Based Standard Errors for 'brms' Models)
 Provides a function to calculate infinite-jackknife-based standard errors
 for fixed effects parameters in 'brms' models, handling both clustered and
 independent data.  References: Ji et al. (2024)
 <doi:10.48550/arXiv.2407.09772>; Giordano et al. (2024)
 <doi:10.48550/arXiv.2305.06466>.

Package: r-cran-ilrcm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ilrcm_0.1.0-1.ca2004.1_all.deb
Size: 157856
MD5sum: 27a6e7e2f487a0388546e27a7ab3bdb5
SHA1: 99276a5ef46dd77a54746c8a892676dba6e6d765
SHA256: 229a4063f8d77de1cb3f31edc968ae00a358cd8b0be50cb45e3a17e487554204
SHA512: a71b8e2b0771aa15762ba0685c5d27fc4038db74c7f779b9a7160361b4db7ad2e8d6559c606dc1ec9c8fd84cfa4803c9f5ff129e1495b04ed114b8d632938bda
Homepage: https://cran.r-project.org/package=ILRCM
Description: CRAN Package 'ILRCM' (Convert Irregular Longitudinal Data to Regular Intervals andPerform Clustering)
 Convert irregularly spaced longitudinal data into regular intervals for
 further analysis, and perform clustering using advanced machine learning
 techniques.  The package is designed for handling complex longitudinal
 datasets, optimizing them for research in healthcare, demography, and other
 fields requiring temporal data modeling.

Package: r-cran-ils
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1271
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-multcomp, r-cran-depthtools, r-cran-fda.usc, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ils_0.3-1.ca2004.1_all.deb
Size: 1251128
MD5sum: 87f5ecbc0be52e417bd099b822a0081d
SHA1: f0ea581c8e974ae0e829e898b99bfbe0e7748adc
SHA256: e0c37c78cf345dd6bdc018286a710885cd0262d03bb0dc74759ab4d8574db19c
SHA512: 2e16c22e42a5549c7b99e9fdd5130af16e7738a08cbef897d97dcb7ecae2ace2624cbe5e9737bf00b36ca76f2a083573e75f0daa21c9b40b1227ebd8fc5e5cce
Homepage: https://cran.r-project.org/package=ILS
Description: CRAN Package 'ILS' (Interlaboratory Study)
 It performs interlaboratory studies (ILS) to detect those laboratories that
 provide non-consistent results when comparing to others. It permits to work
 simultaneously with various testing materials, from standard univariate, and
 functional data analysis (FDA) perspectives. The univariate approach based
 on ASTM E691-08 consist of estimating the Mandel's h and k statistics to
 identify those laboratories that provide more significant different results,
 testing also the presence of outliers by Cochran and Grubbs tests, Analysis
 of variance (ANOVA) techniques are provided (F and Tuckey tests) to test
 differences in means corresponding to different laboratories per each
 material. Taking into account the functional nature of data retrieved in
 analytical chemistry, applied physics and engineering (spectra, thermograms,
 etc.). ILS package provides a FDA approach for finding the Mandel's k and h
 statistics distribution by smoothing bootstrap resampling.

Package: r-cran-ilsamerge
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2018
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haven
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ilsamerge_1.3.8-1.ca2004.1_all.deb
Size: 238232
MD5sum: 31383dde23f8210441c0fcf5c86f3fa4
SHA1: 0eb53619be51e3f6ea62e0920b4330879c0b102a
SHA256: 2fbfcf2381db0bf98f652a81067128c2d6626038411cf33a1ea39299b7f440d7
SHA512: 9d0c9e92bb11496321df33a8ad398045b4840ad6e71b1fd9a84610abace73d2a03ce881fcdfd14502ed79cce1200327bf02cb39d1e8920e5d7efe0bc14481cfc
Homepage: https://cran.r-project.org/package=ILSAmerge
Description: CRAN Package 'ILSAmerge' (Merge and Download International Large-Scale Assessments (ILSA)Data)
 Merges and downloads 'SPSS' data from different International Large-Scale
 Assessments (ILSA), including: Trends in International Mathematics and
 Science Study (TIMSS), Progress in International Reading Literacy Study
 (PIRLS), and others.

Package: r-cran-ilsastats
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-wcorr, r-cran-lme4, r-cran-mumin, r-cran-wemix
Filename: pool/dists/focal/main/r-cran-ilsastats_0.3.8-1.ca2004.1_all.deb
Size: 506892
MD5sum: 7bb246da11c5d5a116f9676d21740c49
SHA1: 439720abf0d500b81ba2a627a87db2615dc8870f
SHA256: b22870ae93d771300f05c8e4aa6dfe0f5d67c903795c7c5b984736e57e7458e4
SHA512: d542608b347aadf11c0232d1cda3bf96dff7d20a53224e87a9b305575b4fafee34921ffb45f4ae623cef2056d002094d4691c5e6da70f081d9e92fc2fa0b10ca
Homepage: https://cran.r-project.org/package=ILSAstats
Description: CRAN Package 'ILSAstats' (Statistics for International Large-Scale Assessments (ILSA))
 Calculates point estimates and standard errors using replicate weights and
 plausible values for International Large-Scale Assessments (ILSA),
 including: means, proportions, quantiles, correlations, singlelevel
 regressions, and multilevel regressions.

Package: r-cran-ilsm
Architecture: all
Version: 1.0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1354
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ilsm_1.0.3.2-1.ca2004.1_all.deb
Size: 1046328
MD5sum: 983da4d9e3105f24c512f472727d4740
SHA1: 5bba84631aa764d08e71ac3e161eff19bdcf41fc
SHA256: 06c5751f2ec6bf521cda7cefd6c070cb9f4a0f4267849aaa75bc442c2fb7a79b
SHA512: a571a11a7d1696dd84f7a28e4f93e5be86e545f5d00d5ef837ec084ad597873dd0f29561b7bcbcd3ad1969734f0140e929265ec679afa4e4277d856730326192
Homepage: https://cran.r-project.org/package=ILSM
Description: CRAN Package 'ILSM' (Analyze Interconnection Structure of Multilayer InteractionNetworks)
 In view of the analysis of the structural characteristics of the multilayer
 network has been complete, however, there is still a lack of a unified
 operation that can quickly obtain the corresponding characteristics of the
 multilayer network.  To solve this insufficiency, 'ILSM' was designed for
 supporting calculating such metrics of multilayer networks by functions of
 this R package.

Package: r-cran-imabc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-data.table, r-cran-foreach, r-cran-truncnorm, r-cran-lhs
Filename: pool/dists/focal/main/r-cran-imabc_1.0.0-1.ca2004.1_all.deb
Size: 167276
MD5sum: 88791ea3a8e7b7efaf7b8f4268c8675a
SHA1: e21c1593483ff0f716ee417e561ea314697ff7db
SHA256: 3adeebbb235e1bac4f590ef1762763950d8b418bd321aeb7c015bb058424f92b
SHA512: 040f72a47bcfcdd1f32bd3745da4c480e2c5c515f53605ffcbfa14ae4986fad00b76c0a399820b2bddccceac7aead0d5e037cb98cc97dd22c41b9b594c8afecf
Homepage: https://cran.r-project.org/package=imabc
Description: CRAN Package 'imabc' (Incremental Mixture Approximate Bayesian Computation (IMABC))
 Provides functionality to perform a likelihood-free method for estimating
 the parameters of complex models that results in a simulated sample from the
 posterior distribution of model parameters given targets. The method begins
 with a accept/reject approximate bayes computation (ABC) step applied to a
 sample of points from the prior distribution of model parameters. Accepted
 points result in model predictions that are within the initially specified
 tolerance intervals around the target points. The sample is iteratively
 updated by drawing additional points from a mixture of multivariate normal
 distributions, accepting points within tolerance intervals. As the algorithm
 proceeds, the acceptance intervals are narrowed. The algorithm returns a set
 of points and sampling weights that account for the adaptive sampling
 scheme. For more details see Rutter, Ozik, DeYoreo, and Collier (2018)
 <arXiv:1804.02090>.

Package: r-cran-image2data
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 561
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-readbitmap
Filename: pool/dists/focal/main/r-cran-image2data_1.0.1-1.ca2004.1_all.deb
Size: 533636
MD5sum: 612ddeb59ec28291daf0a7ba33dd6846
SHA1: 412b0b8d5faf32fa848a3051c78e0cf1898ce013
SHA256: ad25ee0e4086597bb3904bc803e0d8a25648d0fa34f777811ba48b470b5710a4
SHA512: c7e539eafcbd2c731f5b52d1ec02f3d3425da3f44b8866acbe20c891f38d80e51570adb9fe653bf8c9c683352f7ae839effc9f74cd8a744a4fd7827527a91730
Homepage: https://cran.r-project.org/package=image2data
Description: CRAN Package 'image2data' (Turn Images into Data Sets)
 The goal of 'image2data' is to extract images and return them into a data
 set, especially for teaching data manipulation and data visualization.
 Basically, the eponymous function takes an image file ('png', 'tiff',
 'jpeg', 'bmp') and turn it into a data set, pixels being rows (subjects) and
 columns (variables) being their coordinate positions (x- and y-axis) and
 their respective color (in hex codes).  The function can return a complete
 image or a range of color (i.e., contour, silhouette).  The data can then be
 manipulated as would any data set by either creating other related variables
 (to hide the image) or as a genuine toy data set.

Package: r-cran-imagedata
Architecture: all
Version: 0.1-62-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1467
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dae, r-cran-ggplot2, r-cran-readxl, r-cran-hmisc, r-cran-ggally, r-cran-rcolorbrewer, r-cran-reshape
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-imagedata_0.1-62-1.ca2004.1_all.deb
Size: 1443232
MD5sum: 855a19ea6e665a89179dc888db8b83dc
SHA1: f8956b69f973eac383553ebfdb3355e871701e4b
SHA256: 9de51c191482211ac5c235f0cb470ffcbbbbea138885d2ad615918eff66987df
SHA512: 3c1f9af8c6c90e69beb038c30398bec7a81cb7da3dbd6c97e746f35b6cd56b0b2d2891eb1f720682811df7adcdee217bcd4f384b370a9b66807028d4be575ae7
Homepage: https://cran.r-project.org/package=imageData
Description: CRAN Package 'imageData' (Aids in Processing and Plotting Data from a Lemna-TecScananalyzer)
 Note that 'imageData' has been superseded by 'growthPheno'.  The package
 'growthPheno' incorporates all the functionality of 'imageData' and has
 functionality not available in 'imageData', but some 'imageData' functions
 have been renamed.  The 'imageData' package is no longer maintained, but is
 retained for legacy purposes.

Package: r-cran-imagefluency
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.utils, r-cran-readbitmap, r-cran-pracma, r-cran-magick, r-cran-openimager
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-shiny, r-cran-testthat, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown, r-cran-furrr, r-cran-future, r-cran-pbmcapply, r-cran-tictoc, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-imagefluency_0.2.5-1.ca2004.1_all.deb
Size: 746892
MD5sum: 5a1fb63aca526062b7b77170ab7f7ab2
SHA1: 57ecf0bd2ffdd97f827cac7fecb7da05b4e6079b
SHA256: da17bd98f5bec9a1d7c3f58b08ed5250cc20e344e91bb7cdd0c07281b77f979e
SHA512: 3e70a268fcba7b55bfd134c29c02f8271fa4d8cd02dfde381bdc7548126a1f7a356d56a189f83bba2489db305427465623e59d110d310585f40743153824a123
Homepage: https://cran.r-project.org/package=imagefluency
Description: CRAN Package 'imagefluency' (Image Statistics Based on Processing Fluency)
 Get image statistics based on processing fluency theory. The functions
 provide scores for several basic aesthetic principles that facilitate fluent
 cognitive processing of images: contrast, complexity / simplicity,
 self-similarity, symmetry, and typicality.  See Mayer & Landwehr (2018)
 <doi:10.1037/aca0000187> and Mayer & Landwehr (2018)
 <doi:10.31219/osf.io/gtbhw> for the theoretical background of the methods.

Package: r-cran-imagefx
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4689
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-moments, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-imagefx_0.4.1-1.ca2004.1_all.deb
Size: 4422992
MD5sum: ff4f6219760ea5cc51d455836aff1142
SHA1: c6abfaed16efdba3bb1be15b8916e05e37ce0d7b
SHA256: 0d0b2ce834b31f81abb6162c7608a9b8654d8207964cab584259e43e448547b7
SHA512: b1842569044c9a4e0e253be760d66417360d364f7ac6a43191b1f1d526c1ef454a4da0c53cf2639d46e11f6797f80fdb5f52cc4051cb01b7335eb06c83c714f1
Homepage: https://cran.r-project.org/package=imagefx
Description: CRAN Package 'imagefx' (Extract Features from Images)
 Synthesize images into characteristic features for time-series analysis or
 machine learning applications.  The package was originally intended for
 monitoring volcanic eruptions in video data by highlighting and extracting
 regions above the vent associated with plume activity.  However, the
 functions within are general and have wide applications for image
 processing, analyzing, filtering, and plotting.

Package: r-cran-imagery
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1393
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-viridis, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat, r-cran-ggridges, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-imagery_0.1.1-1.ca2004.1_all.deb
Size: 1377676
MD5sum: 09c15288305d3d5e0d0621e41d23e4a3
SHA1: 4c0bcf5b4103927ff065e8646cda56eaab8a2cdf
SHA256: 3b38704ba3c881d2f3a1718ff647e25c47e99ff6a02bdf649c358a87f46fafde
SHA512: b061a5bcd44426dba9f9f61861d658b4e9bc8cb90443394e31fe191455701eb976933823ae49e307d434090b725fed274c3e960b82e6e6150f8ac4cd5f94729e
Homepage: https://cran.r-project.org/package=imageRy
Description: CRAN Package 'imageRy' (Modify and Share Images)
 Tools for manipulating, visualizing, and exporting raster images in R.
 Designed as an educational resource for students learning the basics of
 remote sensing, the package provides user-friendly functions to apply color
 ramps, export RGB composites, and create multi-frame visualizations. Built
 on top of the 'terra' and 'ggplot2' packages.  See
 <https://github.com/ducciorocchini/imageRy> for more details and examples.

Package: r-cran-imageseg
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-keras, r-cran-magick, r-cran-magrittr, r-cran-purrr, r-cran-tibble, r-cran-foreach, r-cran-doparallel, r-cran-dplyr
Suggests: r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imageseg_0.5.0-1.ca2004.1_all.deb
Size: 3675000
MD5sum: f73c0016f7421426a1e8e5431cf05777
SHA1: a3a469bd00df9f8e34ecebe158e72ed6e3e9c832
SHA256: 7f1dec3dac1ffad57a2b42c683937fe175636e3db538693cff0455779fe0cd29
SHA512: d5412fabc8b801e95f0e0d236e1a272afa55def887d603e84f999437153e80a2eb86ffa5225b77d8811ab5c1b2a887e49c4664d0e573bc0686b2af2b746f6a89
Homepage: https://cran.r-project.org/package=imageseg
Description: CRAN Package 'imageseg' (Deep Learning Models for Image Segmentation)
 A general-purpose workflow for image segmentation using TensorFlow models
 based on the U-Net architecture by Ronneberger et al. (2015)
 <arXiv:1505.04597> and the U-Net++ architecture by Zhou et al. (2018)
 <arXiv:1807.10165>. We provide pre-trained models for assessing canopy
 density and understory vegetation density from vegetation photos. In
 addition, the package provides a workflow for easily creating model input
 and model architectures for general-purpose image segmentation based on
 grayscale or color images, both for binary and multi-class image
 segmentation.

Package: r-cran-imageviewer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3049
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-imageviewer_0.1.0-1.ca2004.1_all.deb
Size: 915824
MD5sum: 5904d6f77c7052c4a3dba70fb88397f1
SHA1: 458366239fc494b5b6d61984fc713d37c13aeaed
SHA256: 5a6eb0b5605c1d04e9e7fc81bd9339390fc847609d5064e88f20d681bb883e74
SHA512: 37a0ded796c108201585063976136934e259ebf812a66cbe48cef24834a7b9599cfece5e36db242714ab5c629706e006878e54f61ea4468107de08d666bc2107
Homepage: https://cran.r-project.org/package=imageviewer
Description: CRAN Package 'imageviewer' (Simple 'htmlwidgets' Image Viewer with WebGL Brightness/Contrast)
 Display a 2D-matrix data as a interactive zoomable gray-scale image viewer,
 providing tools for manual data inspection. The viewer window shows cursor
 guiding lines and a corresponding data slices for both axes at the current
 cursor position. A tool-bar allows adjusting image display
 brightness/contrast through WebGL filters and performing basic
 high-pass/low-pass filtering.

Package: r-cran-imaginator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-checkmate, r-cran-distributions3, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-stringi, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-imaginator_1.0.0-1.ca2004.1_all.deb
Size: 62212
MD5sum: 893aefd83cb2084f3fdad057e38a5b3d
SHA1: 3a9b729cc17fbf60b766aade27a33dc55481bbfa
SHA256: 033d0fcab4f53f282daa09595a1c2f97ad6538926a8428d534e8aa8ee1c92e4a
SHA512: 1aa1dbe340c376b670ed4f875888f1f7a56f1b882047e150353757f5b37aa19d42116dfc6e0825cf07d74962440f774037bc7e0cdee31ed0a844c1a20d2b39e0
Homepage: https://cran.r-project.org/package=imaginator
Description: CRAN Package 'imaginator' (Simulate General Insurance Policies and Losses)
 Simulate general insurance policies, losses and loss emergence. The
 functions contemplate deterministic and stochastic policy retention and
 growth scenarios. Retention and growth rates are percentages relative to the
 expiring portfolio. Claims are simulated for each policy. This is
 accomplished either be assuming a frequency distribution per development lag
 or by generating random wait times until claim emergence and settlement.
 Loss simulation uses standard loss distributions for claim amounts.

Package: r-cran-imaginr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-imaginr_0.1.7-1.ca2004.1_all.deb
Size: 104108
MD5sum: dea522494b6c253b32c046d77f1a1c90
SHA1: 39e5c74207567120e69db67a74168303af127e04
SHA256: 0e7fe022bd229c3d99664cb49df24141e20b7f19ddcc79b521fff17a195fcf52
SHA512: e2aa049e61d7f17f2ee54465c7562f0261eaef7c2af2acbff34b772d36e5f70ac92026934fd134e70957d87679da8d51d70ac56e7183b258c91d1aeea22bd02d
Homepage: https://cran.r-project.org/package=ImaginR
Description: CRAN Package 'ImaginR' (Delimit and Characterize Color Phenotype of the Pearl Oyster)
 The pearl oyster, Pinctada margaritifera (Linnaeus, 1758), represents the
 second economic resource of French Polynesia. It is one of the only bivalves
 expressing a large varied range of inner shell color, & by correlation, of
 pearl color. This phenotypic variability is partly under genetic control,
 but also under environmental influence. With ImaginR, it's now possible to
 delimit the color phenotype of the pearl oyster's inner shell and to
 characterize their color variations (by the HSV color code system) with
 pictures.

Package: r-cran-imak
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-png
Filename: pool/dists/focal/main/r-cran-imak_2.1.0-1.ca2004.1_all.deb
Size: 126276
MD5sum: 3d12c802e0bdb26378d7eb902144397a
SHA1: 0b836c2ceb35c7da989eabfaa19298adea1ae494
SHA256: bf00b5628e62c46560f2ba591f6b0e6bda134b3d2222510680385e592f6f570c
SHA512: c44a3b14df30cc5ad0cd6bc72050805bc483ff6bb47c4ed5d2e09e574d93df8e12036ac1240e05d40f9b98eaf4fef7bd5b89a4c069a3b33bcbca10340734256f
Homepage: https://cran.r-project.org/package=IMak
Description: CRAN Package 'IMak' (Item Maker)
 This is an Automatic Item Generator for Psychological Assessment. Items
 created with the 'IMak' package should not be used in applied settings as
 part of the working protocol without ensuring first that the items meet the
 required psychometric quality standards (see Blum & Holling, 2018)
 <DOI:10.3389/fpsyg.2018.01286>.

Package: r-cran-imanr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-missforest, r-cran-dplyr, r-cran-doparallel, r-cran-foreach, r-cran-bundle, r-cran-tidymodels, r-cran-xgboost
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imanr_2.0.0-1.ca2004.1_all.deb
Size: 725196
MD5sum: ad825b7ce9aca358044cc2b0b0348e67
SHA1: 2b5047a22e6f88b396149824c192ff8a84d03074
SHA256: af13ecf68a286e732260b1f21a3972363754e2d2d5d91c1f26c21c33a0fd053d
SHA512: f37accd54400dde77aa66000f2896a8bcd41eba8fcd93579d0269d8843f334444c1bd62ec82246d1eb3a65641d58f4f71d348f5adfd6c4625b7c1ad39ee6f1b3
Homepage: https://cran.r-project.org/package=imanr
Description: CRAN Package 'imanr' (Identify the Racial Complex of Native Corns from Mexico)
 A model that provides researchers with a powerful tool for the
 classification and study of native corn by aiding in the identification of
 racial complexes which are fundamental to Mexico's agriculture and culture.
 This package has been developed based on data collected by "Proyecto Global
 de Maíces Nativos México", which has conducted exhaustive surveys across the
 country to document the qualitative and quantitative characteristics of
 different types of native maize.  The trained model uses a robust and
 diverse dataset, enabling it to achieve an 80% accuracy in classifying maize
 racial complexes. The characteristics included in the analysis comprise
 geographic location, grain and cob colors, as well as various physical
 measurements, such as lengths and widths.

Package: r-cran-imap
Architecture: all
Version: 1.32-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11094
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-imap_1.32-1.ca2004.1_all.deb
Size: 11329148
MD5sum: d253d50b454a6069f8c333a5afc62a48
SHA1: c4960a0f7372af953cdb984a25d1a071ab950148
SHA256: 9c4776271142f612c484d4a72a5595c07c2fdb454f207aa31191f644d7d6ca7c
SHA512: d29daa19f4132c4effae88ed5cc4e2e0d5b7d006fe925161ce5d572e53006171b48aace51e1a9e385c72fbee81e1b53a60e18f136014fbfd92ebddd0db20c80d
Homepage: https://cran.r-project.org/package=Imap
Description: CRAN Package 'Imap' (Interactive Mapping)
 Zoom in and out of maps or any supplied lines or points, with control for
 color, poly fill, and aspect.

Package: r-cran-imbalancedatrel
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcccd, r-cran-rann, r-cran-rfast, r-cran-smotewb
Filename: pool/dists/focal/main/r-cran-imbalancedatrel_0.1.6-1.ca2004.1_all.deb
Size: 26428
MD5sum: 3876e178b1ba8ecf313ff570a199427d
SHA1: 2547c586b78293663ba61c58c4a31f84e99c532c
SHA256: 393da0b0b173668b01ed808253f0a5c9f0db00f85825e8783ca56f200806dc73
SHA512: 4a61d2788242da4f7d8f12bf7453c2ffd5036f5eb73ccb9a22a5d49128807b00c4cd725a383ecf87ab9bc34cf48ccaf15fde0bd8b1b087542b254f2d4e787f42
Homepage: https://cran.r-project.org/package=imbalanceDatRel
Description: CRAN Package 'imbalanceDatRel' (Relocated Data Oversampling for Imbalanced Data Classification)
 Relocates oversampled data from a specific oversampling method to cover area
 determined by pure and proper class cover catch digraphs (PCCCD).  It
 prevents any data to be generated in class overlapping area.  For more
 details, see the corresponding publication: F. Sağlam (2025)
 <doi:10.1007/s10994-025-06755-8>.

Package: r-cran-imcexperiment
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imcexperiment_0.99.0-1.ca2004.1_all.deb
Size: 1954704
MD5sum: 2fc15dc38d7c6b947782515b86648ab0
SHA1: 14cdb3d470df291d2e3ab23f57531e0ae4d81950
SHA256: 86d9a1cfe199493b1dfbcf85d160af93cc42671e70dd90bcd0432443605772c3
SHA512: e71be2bbb97c3ed940b8e540d7d5a45042c1900166ec55ea224c17c0a2a977220d3a3dac3aef04e32d5136597ef507e6a48d649ad514e30897fbe0a902ec2288
Homepage: https://cran.r-project.org/package=imcExperiment
Description: CRAN Package 'imcExperiment' (Mass Cytometry S4 Class Structure Pipeline for Images)
 Containerizes cytometry data and allows for S4 class structure to extend
 slots related to cell morphology, spatial coordinates, phenotype network
 information, and unique cellular labeling.

Package: r-cran-imcluster
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-imcluster_0.1.0-1.ca2004.1_all.deb
Size: 16364
MD5sum: d6a89ed4b0a60561be7faa9ed23aae68
SHA1: d2086a4f7282568ed5c209806a3c689875e78997
SHA256: c1440a726fab8964e6e0d4abdf97db4e8372131d7c4f56e30712287130c3f570
SHA512: 8bb6b581e7219c84451f78a2f9460546c053cae2b5c9176220cb3731021d856e433618deeef9d9bc02eef6c33d744dfcca49d842a7cdeef57e4bc1c4650b3245
Homepage: https://cran.r-project.org/package=ImCluster
Description: CRAN Package 'ImCluster' (Efficiency of Cluster Sampling for Crop Surveys)
 Cluster sampling is a valuable approach when constructing a comprehensive
 list of individual units is challenging. It provides operational and cost
 advantages. This package is designed to test the efficiency of cluster
 sampling in terms cluster variance and design effect in context to crop
 surveys. This package has been developed using the algorithm of Iqbal et al.
 (2018) <doi:10.19080/BBOAJ.2018.05.555673>.

Package: r-cran-imd
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5009
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-readr, r-cran-tibble, r-cran-janitor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imd_1.2.2-1.ca2004.1_all.deb
Size: 4783068
MD5sum: 92cd5020aec07a67485d2f56755604ca
SHA1: c1be670f10cd31ad1fac3ec1bdb541a76e691845
SHA256: 1e9b5dbabea7618026c597827808231db4a16c837fd89b5f1a22359675eca5f2
SHA512: c1f1ca75f19a6cfc51ed09cf6d4dd9512a71a3f679c86d33ec64fa93c392ee63870765542b13f5fbe49354b1c1fcf0fe0659bc5f3a83e372f6482de619b63ce2
Homepage: https://cran.r-project.org/package=IMD
Description: CRAN Package 'IMD' (Index of Multiple Deprivation Data for the UK)
 Index of Multiple Deprivation for UK nations at various geographical levels.
 In England, deprivation data is for Lower Layer Super Output Areas, Middle
 Layer Super Output Areas, Wards, and Local Authorities based on data from
 <https://www.gov.uk/government/statistics/english-indices-of-deprivation-2019>.
 In Wales, deprivation data is for Lower Layer Super Output Areas, Middle
 Layer Super Output Areas, Wards, and Local Authorities based on data from
 <https://gov.wales/welsh-index-multiple-deprivation-full-index-update-ranks-2019>.
 In Scotland, deprivation data is for Data Zones, Intermediate Zones, and
 Council Areas based on data from <https://simd.scot>. In Northern Ireland,
 deprivation data is for Super Output Areas and Local Government Districts
 based on data from
 <https://www.nisra.gov.uk/statistics/deprivation/northern-ireland-multiple-deprivation-measure-2017-nimdm2017>.
 The 'IMD' package also provides the composite UK index developed by
 <https://github.com/mysociety/composite_uk_imd>.

Package: r-cran-imdbapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-imdbapi_0.1.0-1.ca2004.1_all.deb
Size: 36036
MD5sum: 76f04d050f785e8b81e123fc8174b152
SHA1: 1c0d8d0e81dedde909fbf9ae5f5d0833c1db3448
SHA256: 286497e6521a9e52dc24a208b32fd8d1ded63d4e59d6f51b7195d768659011ce
SHA512: 5a85fc1b24789d258669a864ef8ad509c7dad46a4c3c6434be16d8ad5cac575d67754f7c0b3fe3c99796edbd6a09ba3d48738ebd9cda056c967c72bdff2d0c8b
Homepage: https://cran.r-project.org/package=imdbapi
Description: CRAN Package 'imdbapi' (Get Movie, Television Data from the 'imdb' Database)
 Provides API access to the <http://imdbapi.net> which maintains metadata
 about movies, games and television shows through a public API.

Package: r-cran-imec
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-isingsampler, r-cran-igraph, r-cran-qgraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imec_0.2.0-1.ca2004.1_all.deb
Size: 30564
MD5sum: 1d356931efc7d475a251aa2e7806a3b3
SHA1: cf38c58ab5f8c93bd52dc1e2c50037ec3d16c424
SHA256: af851226e6a00023d5ed0d271fa34276aaab6fc08ef57cbca97a0dc457586a70
SHA512: aa80781d3bc8f9d156b97f666ccc1cc19794b28e88c074b1673bf2204da43fed76b0dcc94f5d87ed335fae5696521d89afc74e6ea987b2b127a5dd49edd0f463
Homepage: https://cran.r-project.org/package=IMEC
Description: CRAN Package 'IMEC' (Ising Model of Explanatory Coherence)
 Theories are one of the most important tools of science. Although
 psychologists discussed problems of theory in their discipline for a long
 time, weak theories are still widespread in most subfields.  One possible
 reason for this is that psychologists lack the tools to systematically
 assess the quality of their theories.  Previously a computational model for
 formal theory evaluation based on the concept of explanatory coherence was
 developed (Thagard, 1989, <doi:10.1017/S0140525X00057046>).  However, there
 are possible improvements to this model and it is not available in software
 that psychologists typically use.  Therefore, a new implementation of
 explanatory coherence based on the Ising model is available in this
 R-package.

Package: r-cran-imediate
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-plotly, r-cran-mbess
Suggests: r-cran-mediation
Filename: pool/dists/focal/main/r-cran-imediate_0.5.5-1.ca2004.1_all.deb
Size: 64536
MD5sum: 6d4508a0f0dfb4f815e8aa9d1a5827b5
SHA1: a420408b1f647a16b9e26c26b7819cdda4593397
SHA256: 4c82a8d06a0c12faafb39740ad6a7aea9ba5ddde333a61772cbc1c144e09ec13
SHA512: 967c416d2f08646769c6d43860a8f4683a168e48e5ea561adcb178bce32274ece01052afe8049fb482a7853282f49d124a08b52c4300edc66cabc0b436b11592
Homepage: https://cran.r-project.org/package=iMediate
Description: CRAN Package 'iMediate' (Likelihood Methods for Mediation Analysis)
 Implements likelihood based methods for mediation analysis.

Package: r-cran-imf.data
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-imf.data_0.1.7-1.ca2004.1_all.deb
Size: 45408
MD5sum: 856e785c0a66c428fab5ab8a355de231
SHA1: 73f4a4b4866317021702e5274844531aa6e95ab4
SHA256: 53df55382fddb6287baa3c1cc1cee88fe6646b8c6b69bbe32a36a8f4fc1de097
SHA512: ee64c60f113f007181ee1bb5e740acbbe07dbe97d4e5e7f996c60a072f0fcaf09cb5fb0ed4239262159cf8ecf2b234c79a9f5fd43dc17a94c43935d0bccc3526
Homepage: https://cran.r-project.org/package=imf.data
Description: CRAN Package 'imf.data' (An Interface to IMF (International Monetary Fund) Data JSON API)
 A straightforward interface for accessing the IMF (International Monetary
 Fund) data JSON API, available at <https://data.imf.org/>. This package
 offers direct access to the primary API endpoints: Dataflow, DataStructure,
 and CompactData.  And, it provides an intuitive interface for exploring
 available dimensions and attributes, as well as querying individual
 time-series datasets.  Additionally, the package implements a rate limit on
 API calls to reduce the chances of exceeding service limits (limited to 10
 calls every 5 seconds) and encountering response errors.

Package: r-cran-imfdata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-imfdata_0.2.0-1.ca2004.1_all.deb
Size: 35240
MD5sum: 826a9e8bd21dc47abfdf88bffa05c8dc
SHA1: a0847c730585089c1693a733c556b14822f9affe
SHA256: 77e392c7cc03c34dcd2c92d47b5443246fd6d1faab53107c33711d488f28d57e
SHA512: d8c421d962b5c83ba057ae99d6a5b8f59d68f3c3b166bbc6111d8ca38769de5259206b8b87b8ec665f979847c7a5068865210e0f9ae18d2e5b552f34c3367c8f
Homepage: https://cran.r-project.org/package=IMFData
Description: CRAN Package 'IMFData' (R Interface for International Monetary Fund(IMF) Data API)
 Search, extract and formulate IMF's datasets.

Package: r-cran-imfor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-minpack.lm, r-cran-metrics, r-cran-caret, r-cran-tidyverse, r-cran-nlme, r-cran-ggpubr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-imfor_0.1.0-1.ca2004.1_all.deb
Size: 26048
MD5sum: ad3aa528ceeea0d5a2a80eb40df70cab
SHA1: 7b7feac8b2c0a5d7623ecf47141e3da302c692ac
SHA256: 295437d37b2f74eefa77d16a765100779d96d867297188c9cc9fa7bfe05c461b
SHA512: 14176cd7e8bc3d3e1d5e3379f306e45fb51d63725fbc56bc581d692f4bed0fd7a3f7ddd0d44d00e1f5fbcd005500a6ff309d44853ae8caa154423427b201599a
Homepage: https://cran.r-project.org/package=ImFoR
Description: CRAN Package 'ImFoR' (Non-Linear Height Diameter Models for Forestry)
 Tree height is an important dendrometric variable and forms the basis of
 vertical structure of a forest stand. This package will help to fit and
 validate various non-linear height diameter models for assessing the
 underlying relationship that exists between tree height and diameter at
 breast height in case of conifer trees. This package has been implemented on
 Naslund, Curtis, Michailoff, Meyer, Power, Michaelis-Menten and Wykoff non
 linear models using algorithm of Huang et al.  (1992) <doi:10.1139/x92-172>
 and Zeide et al. (1993) <doi:10.1093/forestscience/39.3.594>.

Package: r-cran-imfr
Architecture: all
Version: 0.1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imfr_0.1.9.1-1.ca2004.1_all.deb
Size: 40956
MD5sum: 1434fb87aa378226083321b0fb272e76
SHA1: 79d109c9b2bfac52d573caa000952a532be1b86f
SHA256: 43e949a341d8c18daf3a67f844c427ae89de84899efc1a7356f3da784f102498
SHA512: 70f65a61d67e242accddc95eeb149304d01427aa5c72c8de103910c10ab532baadd106787a049167f85bab97bcc4861dcd14f474dfdfa6e856e210f8db3b91b4
Homepage: https://cran.r-project.org/package=imfr
Description: CRAN Package 'imfr' (Download Data from the International Monetary Fund's Data API)
 Explore and download data from the International Monetary Fund's data API
 <http://data.imf.org/>.

Package: r-cran-imgpalr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-downloader, r-cran-farver, r-cran-tibble, r-cran-magrittr, r-cran-dplyr, r-cran-jpeg
Suggests: r-cran-testthat, r-cran-bmp, r-cran-png, r-cran-magick
Filename: pool/dists/focal/main/r-cran-imgpalr_0.4.0-1.ca2004.1_all.deb
Size: 1133572
MD5sum: 8e97328e077aa54f60feb962f0111841
SHA1: 0f7ac4b72b6dccd6e74008ee511fede77dc56d4e
SHA256: 05bfbe375d81af4fa3ce3c30084d076fab55d7e8fefb6ceeb716330b5d369a0d
SHA512: 15ffce547ef4d6362030fe55fe09dcc6481486dd21e858e9372dee10b23cf48d7be10925dee0ec2d4a10d58bb50ccaff4737e42e9d75290b28302edd795f3382
Homepage: https://cran.r-project.org/package=imgpalr
Description: CRAN Package 'imgpalr' (Create Color Palettes from Images)
 Provides ability to create color palettes from image files. It offers
 control over the type of color palette to derive from an image (qualitative,
 sequential or divergent) and other palette properties.  Quantiles of an
 image color distribution can be trimmed. Near-black or near-white colors can
 be trimmed in RGB color space independent of trimming brightness or
 saturation distributions in HSV color space. Creating sequential palettes
 also offers control over the order of HSV color dimensions to sort by. This
 package differs from other related packages like 'RImagePalette' in
 approaches to quantizing and extracting colors in images to assemble color
 palettes and the level of user control over palettes construction.

Package: r-cran-imgrec
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-base64enc, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-magick, r-cran-ggplot2, r-cran-usethis, r-cran-pillar, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imgrec_0.1.4-1.ca2004.1_all.deb
Size: 509748
MD5sum: 80b5f2e826648b16430788214743b601
SHA1: 7b1a713137e6d9b123f327cdc73ae12f77b2525d
SHA256: 2d38b7b5564f665dad402cdf4afe8e7ea2f456d7fd27f3c5e9d6b6fb0340ebd1
SHA512: c08274e7f5c0a6f185dfa27ddc9e2fb28fde25768a001ae5f148c402bd10eca889713e61d1eb6c90185eaa0aa314201097f7669e3952fe4ddb6e1e7fe5b5ebb2
Homepage: https://cran.r-project.org/package=imgrec
Description: CRAN Package 'imgrec' (An Interface for Image Recognition)
 Provides an interface for image recognition using the 'Google Vision API'
 <https://cloud.google.com/vision/> .  Converts API data for features such as
 object detection and optical character recognition to data frames. The
 package also includes functions for analyzing image annotations.

Package: r-cran-imgur
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-png, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-imgur_1.0.3-1.ca2004.1_all.deb
Size: 157936
MD5sum: 402ccd49128c1ac35668104d703b3b20
SHA1: bf8c9d9ea09b7b0fc49147ba512789f3216ca564
SHA256: 3292c9484794447eb895189b8a0a2e5567488a2d7d962e2252950ae03c887c44
SHA512: f458f167e4b9f7178bb9c96fb178ad8fbbd7ba4c902097eb0d054364152de2fb015be444d77c65618eef4fce2f75a4aae052bc1f79168116ab3624e2e863a465
Homepage: https://cran.r-project.org/package=imguR
Description: CRAN Package 'imguR' (An Imgur.com API Client Package)
 A complete API client for the image hosting service Imgur.com, including the
 an imgur graphics device, enabling the easy upload and sharing of plots.

Package: r-cran-imhd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-randomforest, r-cran-e1071, r-cran-xgboost, r-cran-ggplot2, r-cran-reshape2, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-imhd_0.1.0-1.ca2004.1_all.deb
Size: 25044
MD5sum: b500afe65a0ec71ed14bbe2939f8d77d
SHA1: 3edc56dae6bc1e4b5a7ecd40c4429bf4d7e7f061
SHA256: cb1bdd00ffed6dec6b099f1564fad1b03019d556aaa53e6e18c00199ef661f39
SHA512: 489f19d8ece71cb781c1ea3b0f5776ba2d5c0d7d5aaff85f25cb658d6063ff0417a7efc53ee72b774dc4b13cd33d0f9b0cc2c9f88f48a27c57a29a58c915d11e
Homepage: https://cran.r-project.org/package=ImHD
Description: CRAN Package 'ImHD' (Artificial Intelligence Based Machine Learning Algorithms forHeight Diameter Relationships of Conifer Trees)
 Estimating height of forest plant is one of the key challenges of recent
 times. This package will help to fit and validate AI (Artificial
 Intelligence) based machine learning algorithms for estimation of height of
 conifer trees based on diameter at breast height as explanatory variable
 using algorithm of Paul et al. (2022) <doi:10.1371/journal.pone.0270553>..

Package: r-cran-imifa
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3808
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrixstats, r-cran-mclust, r-cran-mvnfast, r-cran-rfast, r-cran-slam, r-cran-viridislite
Suggests: r-cran-gmp, r-cran-knitr, r-cran-mcclust, r-cran-rmarkdown, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-imifa_2.2.0-1.ca2004.1_all.deb
Size: 3638392
MD5sum: 75ab123bfe6b60da9b2bc3226fff1799
SHA1: 7a61b60720abd3abf7511b96436a4608b45c4512
SHA256: d6c425e42999d3a60ddb501051f5c3a0af906e81e2a8ac263424171e11e995aa
SHA512: 01a41b3f5d9422fb6d776dfb38d0231ddddceae63d403033218e27df763937c63a86c72a95a04e5cd5e917564b3056df7f6f8ff970eebd4bee11f35d289a8390
Homepage: https://cran.r-project.org/package=IMIFA
Description: CRAN Package 'IMIFA' (Infinite Mixtures of Infinite Factor Analysers and RelatedModels)
 Provides flexible Bayesian estimation of Infinite Mixtures of Infinite
 Factor Analysers and related models, for nonparametrically clustering
 high-dimensional data, introduced by Murphy et al. (2020)
 <doi:10.1214/19-BA1179>. The IMIFA model conducts Bayesian nonparametric
 model-based clustering with factor analytic covariance structures without
 recourse to model selection criteria to choose the number of clusters or
 cluster-specific latent factors, mostly via efficient Gibbs updates.
 Model-specific diagnostic tools are also provided, as well as many options
 for plotting results, conducting posterior inference on parameters of
 interest, posterior predictive checking, and quantifying uncertainty.

Package: r-cran-imix
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-mvtnorm, r-cran-mixtools, r-cran-mclust, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-imix_1.1.5-1.ca2004.1_all.deb
Size: 153596
MD5sum: 87c6b75f6cba052637565be520436f76
SHA1: bc955fc2eb85018b4ae073896dd170c2b75d7da8
SHA256: d5577cb146099662dda3bedb3c4d0efb46da05ea8161663e80cf2238fa8d6579
SHA512: dcc52689289f1b848154862b239da003e237b1756de5646e0310c5ed6236cd2ee710cc0f0fa7ebb0783e453d0887d8ac81993f7d39fa6c5aa60322554372501d
Homepage: https://cran.r-project.org/package=IMIX
Description: CRAN Package 'IMIX' (Gaussian Mixture Model for Multi-Omics Data Integration)
 A multivariate Gaussian mixture model framework to integrate multiple types
 of genomic data and allow modeling of inter-data-type correlations for
 association analysis. 'IMIX' can be implemented to test whether a disease is
 associated with genes in multiple genomic data types, such as DNA
 methylation, copy number variation, gene expression, etc. It can also study
 the integration of multiple pathways. 'IMIX' uses the summary statistics of
 association test outputs and conduct integration analysis for two or three
 types of genomics data. 'IMIX' features statistically-principled model
 selection, global FDR control and computational efficiency. Details are
 described in Ziqiao Wang and Peng Wei (2020)
 <doi:10.1093/bioinformatics/btaa1001>.

Package: r-cran-iml
Architecture: all
Version: 0.11.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 836
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-formula, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-metrics, r-cran-r6
Suggests: r-cran-aleplot, r-cran-bench, r-cran-bit64, r-cran-caret, r-cran-covr, r-cran-e1071, r-cran-future.callr, r-cran-glmnet, r-cran-gower, r-cran-h2o, r-cran-keras, r-cran-knitr, r-cran-mass, r-cran-mlr, r-cran-mlr3, r-cran-party, r-cran-partykit, r-cran-patchwork, r-cran-randomforest, r-cran-ranger, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-yaimpute
Filename: pool/dists/focal/main/r-cran-iml_0.11.4-1.ca2004.1_all.deb
Size: 671608
MD5sum: 94025a2b3f274ab66e27b5fde2a70005
SHA1: 5123ff810d08d1388e5e8cb82536f61b58d9fe85
SHA256: 77b55ff37296dcb7238c5cf3bd812b58b1ef35b6bae91b5b77a228a594f55ada
SHA512: f1dfcc4022d2107a3c8d0d909f766d8331565065048fc8fb5c8e077925b7a556650f6301c9f8d72813f0588273786d56c0ac76191a3a17548dcf178c80d049af
Homepage: https://cran.r-project.org/package=iml
Description: CRAN Package 'iml' (Interpretable Machine Learning)
 Interpretability methods to analyze the behavior and predictions of any
 machine learning model.  Implemented methods are: Feature importance
 described by Fisher et al. (2018) <doi:10.48550/arxiv.1801.01489>,
 accumulated local effects plots described by Apley (2018)
 <doi:10.48550/arxiv.1612.08468>, partial dependence plots described by
 Friedman (2001) <www.jstor.org/stable/2699986>, individual conditional
 expectation ('ice') plots described by Goldstein et al.  (2013)
 <doi:10.1080/10618600.2014.907095>, local models (variant of 'lime')
 described by Ribeiro et. al (2016) <doi:10.48550/arXiv.1602.04938>, the
 Shapley Value described by Strumbelj et. al (2014)
 <doi:10.1007/s10115-013-0679-x>, feature interactions described by Friedman
 et. al <doi:10.1214/07-AOAS148> and tree surrogate models.

Package: r-cran-immailgun
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-immailgun_0.1.2-1.ca2004.1_all.deb
Size: 44332
MD5sum: d6d66d39a775cf48ee92b916f0e41ceb
SHA1: 9c22e99d8d0b508b73ca4bbd80e94c094206f035
SHA256: 9dfb140d49d40cf8317c36b57a34e11925fc3476f07af200f77cb7f9f53ce7e5
SHA512: e080960f369861e12226eea6b2dd2077058def1d6a01b271a37c462c9673fe1ee7ad468b5944da8cebb7c659ab74840020ba35e0184f398dcfca6b41a62da990
Homepage: https://cran.r-project.org/package=IMmailgun
Description: CRAN Package 'IMmailgun' (Send Emails using 'Mailgun')
 Send emails using the 'mailgun' api. To use this package you will need an
 account from <https://www.mailgun.com> .

Package: r-cran-immcp
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-bioc-clusterprofiler, r-bioc-dose, r-cran-dplyr, r-cran-magrittr, r-cran-matrix, r-cran-openxlsx, r-bioc-org.hs.eg.db, r-cran-pbapply, r-cran-proxyc, r-cran-purrr, r-cran-rlang, r-cran-visnetwork, r-cran-arules, r-cran-ggplot2, r-cran-ggheatmap, r-cran-factoextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-immcp_1.0.3-1.ca2004.1_all.deb
Size: 108956
MD5sum: 0a281f4a709967874f281c08d7606e47
SHA1: 2be0ea9fd2c2a73db2e37bf259d5b039bbb232a0
SHA256: cbf4d1dd984c17be6128a3a1b8dceb1228411bbcca53946636dfdecef263e99f
SHA512: 081c9b3638ae94c074001eec8b3c06c2d309884c0ddd6124976fb362b0269bbd906e8670f9bace89c929cf2625594c97ce5e76e8ba2cef69c985a82dfc66e07b
Homepage: https://cran.r-project.org/package=immcp
Description: CRAN Package 'immcp' (Poly-Pharmacology Toolkit for Traditional Chinese MedicineResearch)
 Toolkit for Poly-pharmacology Research of Traditional Chinese Medicine.
 Based on the biological descriptors and drug-disease interaction networks,
 it can analyze the potential poly-pharmacological mechanisms of Traditional
 Chinese Medicine and be used for drug-repositioning in Traditional Chinese
 Medicine.

Package: r-cran-imml
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rpart, r-cran-caret, r-cran-randomforest, r-cran-e1071, r-cran-ggplot2, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-imml_0.1.5-1.ca2004.1_all.deb
Size: 23484
MD5sum: 781e9988c81fe0eb11e59e1a4a436654
SHA1: aaf5432b13528d53aa57292c4509ffe0c063cd16
SHA256: a49f32834a27785d9d1a1be273bd72078d480c29562b813d8e12ece83868f5b8
SHA512: 60cab1b89fb1dbff1daf2a76a6dead204851cfa17cb1970cd04795da8a82550b7f2916fa8ecdfd5320512ed9362a0cd1de34e479f2a5c3f5ead4e6e83fc4af40
Homepage: https://cran.r-project.org/package=ImML
Description: CRAN Package 'ImML' (Machine Learning Algorithms Fitting and Validation for Forestry)
 Fitting and validation of machine learning algorithms for volume prediction
 of trees, currently for conifer trees based on diameter at breast height and
 height as explanatory variables.

Package: r-cran-immunaut
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-plyr, r-cran-dplyr, r-cran-caret, r-cran-proc, r-cran-prroc, r-cran-rlang, r-cran-rtsne, r-cran-dbscan, r-cran-fnn, r-cran-igraph, r-cran-fpc, r-cran-mclust, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-r.utils, r-cran-clustersim, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-immunaut_1.0.2-1.ca2004.1_all.deb
Size: 179652
MD5sum: d0fa3e146dc9f5dd9520580c8201b0ed
SHA1: c9a04dd05d57fdeec77979fb5e35bacce66d282a
SHA256: 5f7d2d5f1eb9b0c074d13b2e038036624332e342dfeb017f2afe892f47fad044
SHA512: 39ce1cebdb86c286b4a7220bd5a67c1c381cf5cd366c29efbb883a8a3385ff7f28b25917c716c0bf2e537b839fe7c9760d892a050bb02709aeb283b0f50f598c
Homepage: https://cran.r-project.org/package=immunaut
Description: CRAN Package 'immunaut' (Machine Learning Immunogenicity and Vaccine Response Analysis)
 Used for analyzing immune responses and predicting vaccine efficacy using
 machine learning and advanced data processing techniques. 'Immunaut'
 integrates both unsupervised and supervised learning methods, managing
 outliers and capturing immune response variability. It performs multiple
 rounds of predictive model testing to identify robust immunogenicity
 signatures that can predict vaccine responsiveness. The platform is designed
 to handle high-dimensional immune data, enabling researchers to uncover
 immune predictors and refine personalized vaccination strategies across
 diverse populations.

Package: r-cran-immundata
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-r6, r-cran-checkmate, r-cran-dplyr, r-cran-duckplyr, r-cran-glue, r-cran-lifecycle, r-cran-readr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-immundata_0.0.1-1.ca2004.1_all.deb
Size: 219456
MD5sum: 4180b30994883404e831769383ebcfc9
SHA1: a48eec1ad8066c5065959069de160be3c7c43643
SHA256: 3d60bfec949d4119fe96f808ac6600a6dd97bb04410cdf9137a963f578c63c37
SHA512: 5e7230eb2a185b40dc7a945296f3be5377ca8740892674efafa50a3595631ec9669bdc9c7165e5fc2c01b06fd31686e95dc26581aa130bc57bbb1be739972c90
Homepage: https://cran.r-project.org/package=immundata
Description: CRAN Package 'immundata' (A Unified Data Layer for Single-Cell, Spatial and BulkImmunomics)
 Provides a unified data layer for single-cell, spatial and bulk T-cell and
 B-cell immune receptor repertoire data, integrating diverse data formats
 such as AIRR and raw sequencing files. Includes utilities for receptor
 aggregation, metadata normalization, and clonotype filtering.

Package: r-cran-immunesim
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-powerlaw, r-cran-stringdist, r-bioc-biostrings, r-cran-igraph, r-cran-stringr, r-cran-data.table, r-cran-plyr, r-cran-reshape2, r-cran-ggplot2, r-cran-ggthemes, r-cran-rcolorbrewer, r-cran-metrics, r-cran-repmis
Filename: pool/dists/focal/main/r-cran-immunesim_0.8.7-1.ca2004.1_all.deb
Size: 4386524
MD5sum: 11409e5a9c60ebe54f1f37a1b994e99e
SHA1: 54f14f8b278d8109679a90c723994d3c51fca752
SHA256: 2f1ee33eab30ab33a741ad872d20a4fd1a231772ba4b33080ebe1005e706bc98
SHA512: c87318c31a5b02f2eaf0dd6cb9d883c257ea013564acf8a9c0df5d142607b6f89607a783b46f676e5e19a4c6e558431cd9430e647f0f71eff88c2b12f0d51d66
Homepage: https://cran.r-project.org/package=immuneSIM
Description: CRAN Package 'immuneSIM' (Tunable Simulation of B- And T-Cell Receptor Repertoires)
 Simulate full B-cell and T-cell receptor repertoires using an in silico
 recombination process that includes a wide variety of tunable parameters to
 introduce noise and biases.  Additional post-simulation modification
 functions allow the user to implant motifs or codon biases as well as
 remodeling sequence similarity architecture. The output repertoires contain
 records of all relevant repertoire dimensions and can be analyzed using
 provided repertoire analysis functions.  Preprint is available at bioRxiv
 (Weber et al., 2019 <doi:10.1101/759795>).

Package: r-cran-immunogenetr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2772
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-immunogenetr_0.3.1-1.ca2004.1_all.deb
Size: 274100
MD5sum: c74be3fd906c614ba6d5bf57a26dd32d
SHA1: cac16c42987fb0eff1970027638ff1ae68c43112
SHA256: 4eac20098808be8db86c8d6524a58d96a14d1758e1396626c311dbed9243bdb4
SHA512: 0137443f77d450674cb63fdf7cf2593308f87e13a54d519923d661b5ff9f4cf761517f95ddb48834ddcd0aea20624e0cd2e2c4a380a4f53ea5d5a4b0ce078d6e
Homepage: https://cran.r-project.org/package=immunogenetr
Description: CRAN Package 'immunogenetr' (A Comprehensive Toolkit for Clinical HLA Informatics)
 A comprehensive toolkit for clinical Human Leukocyte Antigen (HLA)
 informatics, built on 'tidyverse' <https://tidyverse.tidyverse.org/>
 principles and making use of genotype list string (GL string, Mack et al.
 (2023) <doi:10.1111/tan.15126>) for storing and computing HLA genotype data.
 Specific functionalities include: coercion of HLA data in tabular format to
 and from GL string; calculation of matching and mismatching in all
 directions, with multiple output formats; automatic formatting of HLA data
 for searching within a GL string; truncation of molecular HLA data to a
 specific number of fields; and reading HLA genotypes in HML files and
 extracting the GL string.

Package: r-cran-imneuron
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlmetrics, r-cran-ggplot2, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-imneuron_0.1.0-1.ca2004.1_all.deb
Size: 22512
MD5sum: 8e2311adf69fc412c5b94ed69faff924
SHA1: e6037e1acef120cd5fa0c14545e256270a01855a
SHA256: 03d271c2e3af5b03aa6f4f0e2102a18be56d61acb92095f8ddbd5be93e2bba1a
SHA512: c323770119fdfa9e9ca275a174a2eb07c1a728edb2c6ff77765e85c3d7cf9bb0baa36b4f47278b9895fe4bce5fda09c888ec7a99525233fac062372836eebddd
Homepage: https://cran.r-project.org/package=Imneuron
Description: CRAN Package 'Imneuron' (AI Powered Neural Network Solutions for Regression Tasks)
 It offers a sophisticated and versatile tool for creating and evaluating
 artificial intelligence based neural network models tailored for regression
 analysis on datasets with continuous target variables. Leveraging the power
 of neural networks, it allows users to experiment with various hidden neuron
 configurations across two layers, optimizing model performance through "5
 fold"" or "10 fold"" cross validation. The package normalizes input data to
 ensure efficient training and assesses model accuracy using key metrics such
 as R squared (R2), Root Mean Square Error (RMSE), Mean Absolute Error (MAE),
 and Percentage Error (PER). By storing and visualizing the best performing
 models, it provides a comprehensive solution for precise and efficient
 regression modeling making it an invaluable tool for data scientists and
 researchers aiming to harness AI for predictive analytics.

Package: r-cran-imnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mlmetrics, r-cran-ggplot2, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-imnn_0.1.0-1.ca2004.1_all.deb
Size: 20464
MD5sum: 495352ed4df8a5553a11afe2e951040b
SHA1: 9aa78fd08524b82c1e2f80cb3e12061e902b2de9
SHA256: 95844292351411dac7dc869031dd2daeaaaeb9d9ae6bb4d9d49e3dba74225c4c
SHA512: f4277cc86e02c9a218c6bb4c47eeb2929e63d84755a110fdd50912d547b0f30f286d455047d355e6ca24c2943c27059093c94310ab0a867bfcc30ae790cd62de
Homepage: https://cran.r-project.org/package=ImNN
Description: CRAN Package 'ImNN' (Neural Networks for Predicting Volume of Forest Trees)
 Neural network has potential in forestry modelling. This package is designed
 to create and assess Artificial Intelligence based Neural Networks with
 varying architectures for prediction of volume of forest trees using two
 input features: height and diameter at breast height, as they are the key
 factors in predicting volume, therefore development and validation of
 efficient volume prediction neural network model is necessary. This package
 has been developed using the algorithm of Tabassum et al. (2022)
 <doi:10.18805/ag.D-5555>.

Package: r-cran-imola
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4500
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-magrittr, r-cran-stringi, r-cran-glue, r-cran-yaml
Suggests: r-cran-testthat, r-cran-rvest, r-cran-devtools, r-cran-covr, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-imola_0.5.0-1.ca2004.1_all.deb
Size: 1812748
MD5sum: 6d19009b3c47744812213a5556ee34cc
SHA1: 5c23b1c6cf999e0f553d73b73b8e8c5776542788
SHA256: 987c97387801737bd719bcd1e3057e8e4003fe87ed8900283751cb7d7711eaee
SHA512: 1bf89f55aada36ac5ab4905ba7868e9a6bb17c3ff0c8b2f56c94e24c0ab389d2cbe9abb8c939edc65fdd7becdff881129900b77beacb070b8e3f21dfb2614e64
Homepage: https://cran.r-project.org/package=imola
Description: CRAN Package 'imola' (CSS Layouts (Grid and Flexbox) Implementation for R/Shiny)
 Allows easy creation of CSS layouts (grid and flexbox) directly from R
 without added CSS.

Package: r-cran-imp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-imp_1.1-1.ca2004.1_all.deb
Size: 62996
MD5sum: 40a6ce732025c32547ab9e49decc4db6
SHA1: f5fccad199f38aeeb93ec5518bfa3ac255ccfcf8
SHA256: 7a4af6b9f6d38260a9f23ecc0d57b41928114c0d5aee46a0e3cf7e36a9cf5daa
SHA512: a03dec57569550bc8e9cd983d1a575332572f4125b87364a8004350a5c8680b68e483b0986740cf69b800f1c0a0a89640cbe8d48f3e5f0e8840c2b7d6d8b8548
Homepage: https://cran.r-project.org/package=IMP
Description: CRAN Package 'IMP' (Interactive Model Performance Evaluation)
 Contains functions for evaluating & comparing the performance of Binary
 classification models. Functions can be called either statically or
 interactively (as Shiny Apps).

Package: r-cran-impact
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-impact_0.1.1-1.ca2004.1_all.deb
Size: 15676
MD5sum: 8c452e436f724bb9304593cfdee3f64b
SHA1: b16d8c4d54adb500ed75b4c8e8cb666d69f7a77d
SHA256: f26f4c5ac45ce60880c51d26e32eccd644437fb7ca95917f0a30284623fb312d
SHA512: 5787fdddd98a62cdd0a028c476f65bc7bc1cf0aae4a091031d5ed44def4e2c2011a95ae1d9f0d235c168b055253431ed249b65ff220397e83b019ea67abc9c9f
Homepage: https://cran.r-project.org/package=IMPACT
Description: CRAN Package 'IMPACT' (The Impact of Items)
 Implement a multivariate analysis of the impact of items to identify a bias
 in the questionnaire validation of Likert-type scale variables. The items
 requires considering a null value (category doesn't have tendency). Offering
 frequency, importance and impact of the items.

Package: r-cran-impimp
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-impimp_0.3.1-1.ca2004.1_all.deb
Size: 64412
MD5sum: 94f7e4fffba8a2305365ddc64cac07a7
SHA1: f2915b96afb88f1c6497694dc6f8e9995c14477f
SHA256: e61f09fbb0f0b4b2da6f81f21a0e62f261671386563b48d99b4ff9a18157fb45
SHA512: 785f450b4e2b4ee085e18d432b1f608f5cbf5e4a7182f0d232e169dd473f9077aaafa51ee530c8ec4d2209a06af65c4d69d0d070ca8ed4055d521d07e02acd5a
Homepage: https://cran.r-project.org/package=impimp
Description: CRAN Package 'impimp' (Imprecise Imputation for Statistical Matching)
 Imputing blockwise missing data by imprecise imputation, featuring a
 domain-based, variable-wise, and case-wise strategy.  Furthermore, the
 estimation of lower and upper bounds for unconditional and conditional
 probabilities based on the obtained imprecise data is implemented.
 Additionally, two utility functions are supplied: one to check whether
 variables in a data set contain set-valued observations; and another to
 merge two already imprecisely imputed data.  The method is described in a
 technical report by Endres, Fink and Augustin (2018,
 <doi:10.5282/ubm/epub.42423>).

Package: r-cran-implicitexpansion
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-implicitexpansion_0.1.0-1.ca2004.1_all.deb
Size: 41524
MD5sum: ef0345199e2e3846bc3ae4ff8a7744cd
SHA1: d71e86913bbc0acba0acc07f16212726d3208612
SHA256: f3b29cf30a47a0d83122e3f8610d91483dfe75201e6e9810cabb9f26fa912a7e
SHA512: 7af34561caab9cebd3d095dd50dade2b1c9ce6773963aaad5a4100dd6d1eb1458fb59194873f2585c5731a633ae77bc107cb4fa99506c487031b22099474ae35
Homepage: https://cran.r-project.org/package=implicitExpansion
Description: CRAN Package 'implicitExpansion' (Array Operations for Arrays of Mismatching Sizes)
 Support for implicit expansion of arrays in operations involving arrays of
 mismatching sizes. This pattern is known as "broadcasting" in 'Python' and
 "implicit expansion" in 'Matlab' and is explained for example in the article
 "Array programming with NumPy" by C. R. Harris et al. (2020)
 <doi:10.1038/s41586-020-2649-2>.

Package: r-cran-implicitmeasures
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stringr, r-cran-tidyr, r-cran-xtable
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tablehtml, r-cran-data.table, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-implicitmeasures_0.2.1-1.ca2004.1_all.deb
Size: 419824
MD5sum: b19dcade89239aaddb7ddbf3560e40f9
SHA1: 7d2152ac778d0ff120055faf20f20131c4586c96
SHA256: 3bb7b7b47a46ee8f994eccb84f9702dafde52edafb2b9b594e1ebe6f0bd29dfd
SHA512: c5b77a732a23e3e5ec0cf1bbc2da8fca1ce0267d31bd962b8383a2fd0d6e8a69ecb979732afd7086044a5c7d8a6709d07bf85cd8f7a90208d4b4ca8caf42f772
Homepage: https://cran.r-project.org/package=implicitMeasures
Description: CRAN Package 'implicitMeasures' (Compute Scores for Different Implicit Measures)
 A tool for computing the scores for the Implicit Association Test (IAT;
 Greenwald, McGhee & Schwartz (1998) <doi:10.1037/0022-3514.74.6.1464>) and
 the Single Category-IAT (SC-IAT: Karpinski & Steinman (2006)
 <doi:10.1037/0022-3514.91.1.16>). Functions for preparing the data (both for
 the IAT and the SC-IAT), plotting the results, and obtaining a table with
 the scores of implicit measures descriptive statistics are provided.

Package: r-cran-implied
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-implied_0.5-1.ca2004.1_all.deb
Size: 55060
MD5sum: 0f7738a32d0340c1d07d6d5fa42e7118
SHA1: b092287a1f94bc22cd41c93371d639b4f8f2379c
SHA256: 0c0e062471c8804cf7b4e4787a9c9273f49b07b18757009b2e01deab9af5d724
SHA512: 3921ceca85d37b0cdfe8443d045f1afdacc5e59b7bd535d3b1724648ae2773e9cb9b56cd172bd06a51b9a2d8e1f80f4f5664d9c288c92da55f26b3aca2ba148b
Homepage: https://cran.r-project.org/package=implied
Description: CRAN Package 'implied' (Convert Between Bookmaker Odds and Probabilities)
 Convert between bookmaker odds and probabilities. Eight different algorithms
 are available, including basic normalization, Shin's method (Hyun Song Shin,
 (1992) <doi:10.2307/2234526>), and others.

Package: r-cran-implyr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-assertthat, r-cran-dbplyr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-lahman, r-cran-lubridate, r-cran-odbc, r-cran-rjdbc, r-cran-rjava, r-cran-nycflights13, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-implyr_0.5.0-1.ca2004.1_all.deb
Size: 137124
MD5sum: 8e3f1fa02f34a8bebec7a724e3b30fa3
SHA1: 832e72444b755001cb070a15a130a95076b38ef6
SHA256: 861b064c2bf240377f2605a6035519e57b3d149542388172096de69f6e74d09b
SHA512: cc40b7df41fe3221083c7e5df8732a8c2639aa79820e4c61238cadc8e1f29e965f9dbcd1dfe4c05ca20a74651c5d868cb05484c03517a245a27684837102a495
Homepage: https://cran.r-project.org/package=implyr
Description: CRAN Package 'implyr' (R Interface for Apache Impala)
 'SQL' back-end to 'dplyr' for Apache Impala, the massively parallel
 processing query engine for Apache 'Hadoop'. Impala enables low-latency
 'SQL' queries on data stored in the 'Hadoop' Distributed File System
 '(HDFS)', Apache 'HBase', Apache 'Kudu', Amazon Simple Storage Service
 '(S3)', Microsoft Azure Data Lake Store '(ADLS)', and Dell 'EMC' 'Isilon'.
 See <https://impala.apache.org> for more information about Impala.

Package: r-cran-import
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-import_1.3.2-1.ca2004.1_all.deb
Size: 74336
MD5sum: 610c366bd6c7f83c7b4ad9ea391c89b6
SHA1: 3db37cc8dc8a4bc92d1ceac4776c51a41c733a18
SHA256: 4816a3586d3aebaecc2ebffe2e7136ec1b14bcf0c5e29cc02efbbd78ea562b62
SHA512: 1cdafa3a3a2886ec2f3b9c2be7f389f4515c0d4cc3ce95d26707b275ca8de4b895156298cf6514c5bda3e8db48b790185a608a5be6f58ecaa13d50227fed3683
Homepage: https://cran.r-project.org/package=import
Description: CRAN Package 'import' (An Import Mechanism for R)
 Alternative mechanism for importing objects from packages and R modules. The
 syntax allows for importing multiple objects with a single command in an
 expressive way. The import package bridges some of the gap between using
 library (or require) and direct (single-object) imports.  Furthermore the
 imported objects are not placed in the current environment.

Package: r-cran-importanceindice
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-importanceindice_0.0.2-1.ca2004.1_all.deb
Size: 74676
MD5sum: 180ddea4f39c300bb66137388d4febe6
SHA1: 49cfb5888f42ff6575a7f3f4a044bdafa78c1de6
SHA256: 104326c10221e9d8b60ec82eb180e25b813dc969964bd208501a1fa9697aea96
SHA512: 41de729af507b0c38533af874ba424d91524cd7892f20e9ba0e9a4c79630ef24c74b56d99551c9c756dca04a5aa5aefbfb73e186e613212fd0d7b78ba10a1052
Homepage: https://cran.r-project.org/package=ImportanceIndice
Description: CRAN Package 'ImportanceIndice' (Analyzing Data Through of Percentage of Importance Indice andIts Derivations)
 The Percentage of Importance Indice (Percentage_I.I.) bases in magnitudes,
 frequencies, and distributions of occurrence of an event (DEMOLIN-LEITE,
 2021) <http://cjascience.com/index.php/CJAS/article/view/1009/1350>. This
 index can detect the key loss sources (L.S) and solution sources (S.S.),
 classifying them according to their importance in terms of loss or income
 gain, on the productive system. The Percentage_I.I. = [(ks1 x c1 x ds1)/SUM
 (ks1 x c1 x ds1) + (ks2 x c2 x ds2) + (ksn x cn x dsn)] x 100. key source
 (ks) is obtained using simple regression analysis and magnitude (abundance).
 Constancy (c) is SUM of occurrence of L.S. or S.S. on the samples (absence =
 0 or presence = 1), and distribution source (ds) is obtained using
 chi-square test. This index has derivations: i.e., i) Loss estimates and
 solutions effectiveness and ii) Attention and non-attention levels
 (DEMOLIN-LEITE,2024) <DOI: 10.1590/1519-6984.253215>.

Package: r-cran-importar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-importar_0.1.1-1.ca2004.1_all.deb
Size: 11288
MD5sum: 0336acec09a06748a3ac95314996c436
SHA1: 8072d2af40e0e84b880e1710fa324f6078e0e135
SHA256: c951e5a0bbdf51bb30a848b594d7a2d6d4856588602886b8ee2684e2ca1dd724
SHA512: 413593f60c3fb9e2d3e24563b7136b5eecf7b707656511cd712af400de1f8e7b85d661a11c4d78ef869c3ddf918b5ad99beeb2a4f1b8d065f82e2f378087a267
Homepage: https://cran.r-project.org/package=importar
Description: CRAN Package 'importar' (Enables Importing/Loading of Packages or Functions WhileCreating an Alias for Them)
 Enables 'Python'-like importing/loading of packages or functions with
 aliasing to prevent namespace conflicts.

Package: r-cran-importexport
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdata, r-cran-hmisc, r-cran-chron, r-cran-rodbc, r-cran-readxl, r-cran-writexl, r-cran-haven
Suggests: r-cran-shiny, r-cran-shinybs, r-cran-shinythemes, r-cran-comparegroups, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-importexport_1.3.1-1.ca2004.1_all.deb
Size: 116504
MD5sum: dfb2e8c9cf2f6dd120b90affe679ae11
SHA1: 4a050f4695d0bc70af528c8148cd4f0e95e6fdfe
SHA256: d0bd8387e821896a52978b73092531359e35c9e61ad49bc9dd955402f888226c
SHA512: 9019087d77caf3c527b269408f6b8bb852114e7d6ca0fd6f223458e8035b323120e2661cb9f9fb9dbeb237cea2e844d2e44bdc66d8157df4ae2c037a6f617ef0
Homepage: https://cran.r-project.org/package=ImportExport
Description: CRAN Package 'ImportExport' (Import and Export Data)
 Import and export data from the most common statistical formats by using R
 functions that guarantee the least loss of the data information, giving
 special attention to the date variables and the labelled ones.

Package: r-cran-importinegi
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreign, r-cran-dplyr, r-cran-haven, r-cran-sf, r-cran-data.table, r-cran-rio
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-importinegi_1.2.1-1.ca2004.1_all.deb
Size: 89024
MD5sum: 2b71c008f47b0518dab8decb5e2ff58d
SHA1: ee79a7e0514ea241ddce9fc2cfc3b3430252dfd5
SHA256: 8455ae078b33b5591ed5de89f36f36e710ece279327791acacf2a604f3bf69e9
SHA512: 17f8371cfd1a4ea26a35174bb2dc3be117e85cb0723b682e310168c6cc052b6adb6a596784d9d10d4312cd0bfbde43c246f5d33b9b7f2c231a2655e80023efc9
Homepage: https://cran.r-project.org/package=importinegi
Description: CRAN Package 'importinegi' (Download and Manage Open Data from INEGI)
 Download and manage data sets of statistical projects and geographic data
 created by Instituto Nacional de Estadistica y Geografia (INEGI). See
 <https://www.inegi.org.mx/>.

Package: r-cran-imprecise101
Architecture: all
Version: 0.2.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tolerance, r-cran-pscl
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imprecise101_0.2.2.4-1.ca2004.1_all.deb
Size: 59172
MD5sum: 498d0be1d1aaa1718d6232d17fc1bc0a
SHA1: d43ac77e7159e56533f7b5ff03d7666e67f4b54d
SHA256: a3b8ada68231ba5fc8f953e3ca0003ae19828437ae64b73657a868e6bea74360
SHA512: 468ce2cb1b228f16f91eeb3e3d3aa98ef33c73ee577ef66d40c73838f465d63c2a566c9a9cb34f7195a9a9a4cbe2c37e899f43199cd3ea99b2bf38ee3eedc024
Homepage: https://cran.r-project.org/package=imprecise101
Description: CRAN Package 'imprecise101' (Introduction to Imprecise Probabilities)
 An imprecise inference presented in the study of Walley (1996)
 <doi:10.1111/j.2517-6161.1996.tb02065.x> is one of the statistical reasoning
 methods when prior information is unavailable. Functions and utils needed
 for illustrating this inferential paradigm are implemented for classroom
 teaching and further comprehensive research. Two imprecise models are
 demonstrated using multinomial data and 2x2 contingency table data. The
 concepts of prior ignorance and imprecision are discussed in lower and upper
 probabilities. Representation invariance principle, hypothesis testing,
 decision-making, and further generalization are also illustrated.

Package: r-cran-impressionist.colors
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3564
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-impressionist.colors_1.0-1.ca2004.1_all.deb
Size: 3618964
MD5sum: 9267816522d8574f7c5604ca48762c71
SHA1: 4c0074be21dc9d12b7ea267dd373758733790dd4
SHA256: f14e39d842032578e82cf93116628ad212303d1f3c28f91d366be811cef3b06e
SHA512: f53e1164712237a6b8ed495b79bb0d039a149971bd0b159a156ba9d6d81f6cbdb683196a9d552ccc727eee0d7dbe9340e2406d82e8775c9904fdf8cb963f9063
Homepage: https://cran.r-project.org/package=impressionist.colors
Description: CRAN Package 'impressionist.colors' (Impressionism's Color Palettes)
 Provides color palettes from Impressionism and post-Impressionism artworks.
 This package allows to select colors combinations while looking at the
 original paintings where colors were sampled from.

Package: r-cran-imprinting
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-cowplot, r-cran-ggplot2, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-imprinting_0.1.1-1.ca2004.1_all.deb
Size: 397216
MD5sum: d3f054c151c2346ee5839680c05187ee
SHA1: a34c015f32b1e57856e8e5bc30c53472cc8a58db
SHA256: 0e14ce4a8d8bfd2b20605b57fe82f747c7eb0da2ba4a98b28e9348d1529ad54a
SHA512: adde8cc811010baa498d87e0b5f13a65a684f2da45941f4856fc28ab8d90a57e8db03becf02438290550d0924fded1bdb59a45278adc90a1a1d8fc263a53648f
Homepage: https://cran.r-project.org/package=imprinting
Description: CRAN Package 'imprinting' (Calculate Birth Year-Specific Probabilities of Immune Imprintingto Influenza)
 Reconstruct birth-year specific probabilities of immune imprinting to
 influenza A, using the methods of Gostic et al. (2016)
 <doi:10.1126/science.aag1322>. Plot, save, or export the calculated
 probabilities for use in your own research. By default, the package
 calculates subtype-specific imprinting probabilities, but with user-provided
 frequency data, it is possible to calculate probabilities for arbitrary
 kinds of primary exposure to influenza A, including primary vaccination and
 exposure to specific clades, strains, etc.

Package: r-cran-impshrinkage
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-impshrinkage_1.0.0-1.ca2004.1_all.deb
Size: 108200
MD5sum: 086a389b99555b511d494ab752aacf6c
SHA1: 2b261c96c86a6b4652926dce41415385de5bedf3
SHA256: c774eaeed9f136673c6187fb129a134ec76210d37fa784ddb72dfba6bcf5f0f3
SHA512: 4c99d0873005ad6cabdedb99b6dddc291da7739cefefcfd4ae82846a085396e3c330919cf44617404fafddc3d39585fd9838df6eb82f3fb09ed8c44c9293e7a1
Homepage: https://cran.r-project.org/package=ImpShrinkage
Description: CRAN Package 'ImpShrinkage' (Improved Shrinkage Estimations for Multiple Linear Regression)
 A variety of improved shrinkage estimators in the area of statistical
 analysis: unrestricted; restricted; preliminary test; improved preliminary
 test; Stein; and positive-rule Stein. More details can be found in chapter 7
 of Saleh, A. K. Md. E. (2006) <ISBN: 978-0-471-56375-4>.

Package: r-cran-imputefin
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1472
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-zoo, r-cran-mvtnorm, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-prettydoc, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-xts
Filename: pool/dists/focal/main/r-cran-imputefin_0.1.2-1.ca2004.1_all.deb
Size: 1070124
MD5sum: 6abf16b3958b66145be147de995cd01f
SHA1: 7a21d79994d91fd92317c000316590b1755117d1
SHA256: 7e806ffebcc0723706444d42ddc82c5ed672b137b03a6d1f462821100b44c3a5
SHA512: 2452cbd5b4d07e9dd7bb8bf90d59ae2e50aec4e70cd84ffb4facd63433d8aecd0ca068c09726ae962065fd10e5bfadb1c8c4a463ad75037b3f12d604539bad0c
Homepage: https://cran.r-project.org/package=imputeFin
Description: CRAN Package 'imputeFin' (Imputation of Financial Time Series with Missing Values and/orOutliers)
 Missing values often occur in financial data due to a variety of reasons
 (errors in the collection process or in the processing stage, lack of asset
 liquidity, lack of reporting of funds, etc.). However, most data analysis
 methods expect complete data and cannot be employed with missing values. One
 convenient way to deal with this issue without having to redesign the data
 analysis method is to impute the missing values. This package provides an
 efficient way to impute the missing values based on modeling the time series
 with a random walk or an autoregressive (AR) model, convenient to model
 log-prices and log-volumes in financial data. In the current version, the
 imputation is univariate-based (so no asset correlation is used). In
 addition, outliers can be detected and removed.  The package is based on the
 paper: J. Liu, S. Kumar, and D. P. Palomar (2019). Parameter Estimation of
 Heavy-Tailed AR Model With Missing Data Via Stochastic EM. IEEE Trans. on
 Signal Processing, vol. 67, no. 8, pp. 2159-2172.
 <doi:10.1109/TSP.2019.2899816>.

Package: r-cran-imputegeneric
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gower, r-cran-parsnip
Suggests: r-cran-missmethods, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imputegeneric_0.1.0-1.ca2004.1_all.deb
Size: 56948
MD5sum: 702e1abe6da7059d4facefd694138aba
SHA1: 7aaaf8c3d56492f047087b5065c8284d9cf4ceff
SHA256: f7d5a4123072d7366f29fc33b67e1b3537f0b35920bcf9cb76171c07989a405e
SHA512: 2fe50e37a0b1ad4ca09f83f3b57681b37c63e0f654fddafbbfeb224090125219242581bb91a76ac943c0c45cbd252b84cc5e1027e577d8d4c256953e06d6d9ce
Homepage: https://cran.r-project.org/package=imputeGeneric
Description: CRAN Package 'imputeGeneric' (Ease the Implementation of Imputation Methods)
 The general workflow of most imputation methods is quite similar. The aim of
 this package is to provide parts of this general workflow to make the
 implementation of imputation methods easier. The heart of an imputation
 method is normally the used model. These models can be defined using the
 'parsnip' package or customized specifications. The rest of an imputation
 method are more technical specification e.g. which columns and rows should
 be used for imputation and in which order. These technical specifications
 can be set inside the imputation functions.

Package: r-cran-imputelcmd
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tmvtnorm, r-cran-norm, r-bioc-pcamethods, r-bioc-impute
Filename: pool/dists/focal/main/r-cran-imputelcmd_2.1-1.ca2004.1_all.deb
Size: 635584
MD5sum: b9281dcf2c03088a7a2b28457dd072fb
SHA1: ff42907ba9b3a87c6c3874a941fe0eebae8a1a96
SHA256: e9de229946521e0390a91f805c154c8fca5f1741e308ae3e8b39c85c0c8992ce
SHA512: bda1665820dc29aa536fbd364d6f9c8555bbcac79448aca9f868c03ece8a29788c20367b30b6896504897f6ddb0528cf6884c792d688cb25d176f0eb120aae6b
Homepage: https://cran.r-project.org/package=imputeLCMD
Description: CRAN Package 'imputeLCMD' (A Collection of Methods for Left-Censored Missing DataImputation)
 A collection of functions for left-censored missing data imputation.
 Left-censoring is a special case of missing not at random (MNAR) mechanism
 that generates non-responses in proteomics experiments. The package also
 contains functions to artificially generate peptide/protein expression data
 (log-transformed) as random draws from a multivariate Gaussian distribution
 as well as a function to generate missing data (both randomly and
 non-randomly). For comparison reasons, the package also contains several
 wrapper functions for the imputation of non-responses that are missing at
 random. * New functionality has been added: a hybrid method that allows the
 imputation of missing values in a more complex scenario where the missing
 data are both MAR and MNAR.

Package: r-cran-imputelongicovs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imputelongicovs_0.1.0-1.ca2004.1_all.deb
Size: 396984
MD5sum: 6f16e5c5f44d89ec68be7927de914617
SHA1: 6903a462ecc4ad1efb885ae0018c3a301fae868e
SHA256: ae697acb1a1c64b0ce4779236266d50a7702e5d062c31d584ce070b9b56f71da
SHA512: 06489cbf0756220bed5b9290589a3d208d7e8e1342afc3a384df1d1719b967be1fdc3082a89b46fafa2c046bd337fd66cc20a9bf253642ecb9aae2dec6dfebcc
Homepage: https://cran.r-project.org/package=ImputeLongiCovs
Description: CRAN Package 'ImputeLongiCovs' (Longitudinal Imputation of Categorical Variables via a JointTransition Model)
 Imputation of longitudinal categorical covariates. We use a methodological
 framework which ensures that the plausibility of transitions is preserved,
 overfitting and colinearity issues are resolved, and confounders can be
 utilized. See Mamouris (2023) <doi:10.1002/sim.9919> for an overview.

Package: r-cran-imputemissings
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-imputemissings_0.0.4-1.ca2004.1_all.deb
Size: 22144
MD5sum: d0f84ac6b3f9db3a339491cd50194701
SHA1: e9dd42161743d8488e7c65fe3641a4136a3c7371
SHA256: 466cd427435c0fd81aa71f4a46a2c2653e8eae22175c1f71646e682cb1a5e555
SHA512: 71ac09e03ed0a232a33dadd7ce79eeccd59945c8e1c95101e790e342557e7dced374ad5285e7b6bee38af53ce3aca789333fc31d143389aaa675ab07de0a6d6e
Homepage: https://cran.r-project.org/package=imputeMissings
Description: CRAN Package 'imputeMissings' (Impute Missing Values in a Predictive Context)
 Compute missing values on a training data set and impute them on a new data
 set. Current available options are median/mode and random forest.

Package: r-cran-imputer
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-caret, r-cran-glmnet, r-cran-pls, r-cran-cubist, r-cran-ridge, r-cran-gbm, r-cran-mboost, r-cran-rpart, r-cran-earth
Filename: pool/dists/focal/main/r-cran-imputer_2.2-1.ca2004.1_all.deb
Size: 403476
MD5sum: 6bd0b1973e7b6de80767b287a9aeb17f
SHA1: 1b9f7ebd7232e95cfb2ede8d613bc274ef222676
SHA256: 2ce7bedcd2c37675821cc13798dbba28b232c19004d6e9c7497eb5b7e09eb415
SHA512: a3a66124f7722a8775830701a78c794f94a791475c4d108fc31fe81b8ec3a4c9af3e4dfef9026ee317e14512a5cd81a6e283886d2663bad81be606deb2b9b62c
Homepage: https://cran.r-project.org/package=imputeR
Description: CRAN Package 'imputeR' (A General Multivariate Imputation Framework)
 Multivariate Expectation-Maximization (EM) based imputation framework that
 offers several different algorithms. These include regularisation methods
 like Lasso and Ridge regression, tree-based models and dimensionality
 reduction methods like PCA and PLS.

Package: r-cran-imputeree
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-stringr, r-cran-purrr, r-cran-rlang, r-cran-broom
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imputeree_0.0.5-1.ca2004.1_all.deb
Size: 89336
MD5sum: 01945076a8d425c9f7012b6fe49f62d7
SHA1: 5e842f8cedffb43addedc43c605891cdad606b7c
SHA256: 2f5af1ad5d3c1d5db0c3c52784bc3a6333ef1223bc85d3292e5ee392d6c84153
SHA512: 66ef4f4c58d5af729ec87cf5900ffa0b116a5d3f39e2eae7e599c25b1dfdd57c322d8afef3791e21968a886bb24e035b0cf1ac63d8a5f229698f4009832559a9
Homepage: https://cran.r-project.org/package=imputeREE
Description: CRAN Package 'imputeREE' (Impute Missing Rare Earth Element Data in Zircon)
 Set of functions to impute missing rare earth data, calculate La and Pr
 concentrations and Ce anomalies in zircons based on the Chondrite-Onuma and
 Chondrite-Lattice of Carrasco-Godoy and Campbell (2023)
 <doi:10.1007/s00410-023-02025-9> and the Logarithmic regression from Zhong
 et al. (2019) <doi:10.1007/s00710-019-00682-y>.

Package: r-cran-imputerobust
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-mice, r-cran-purrr, r-cran-extremevalues, r-cran-gamlss.dist, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-imputerobust_1.3-1-1.ca2004.1_all.deb
Size: 54528
MD5sum: c5a141e6527939d36399ad6e27d13304
SHA1: e9b631170bbfdee8405615aa9ad1e733c69d119a
SHA256: 716e355310f5bc5951ffb321985da7a07c6606337a1f0cffe1c84b5151e0bbe1
SHA512: c04f0e7a55a5d5e7fcb20e397bffad006c1b26f249a076aa8ae002066531f30013c257fac2ac3f300cabc00c2f5b7efb2225d125cd53ed87d72ca86bd4df6220
Homepage: https://cran.r-project.org/package=ImputeRobust
Description: CRAN Package 'ImputeRobust' (Robust Multiple Imputation with Generalized Additive Models forLocation Scale and Shape)
 Provides new imputation methods for the 'mice' package based on generalized
 additive models for location, scale, and shape (GAMLSS) as described in de
 Jong, van Buuren and Spiess <doi:10.1080/03610918.2014.911894>.

Package: r-cran-imputetestbench
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-forecast, r-cran-ggplot2, r-cran-imputets, r-cran-reshape2, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-imputetestbench_3.0.3-1.ca2004.1_all.deb
Size: 52072
MD5sum: 1f591be6cc0daff402d05726daaa3b2d
SHA1: eafeb4fde0d3dddd90974d71a5b816f6d99f88a5
SHA256: dc48434453bf24f0251c6ec48c36198dfcab98647fea9dad2743383765c91b01
SHA512: 060ee231b31c4d3f88ec55c4586c5f87d600ae17ae59f16298c798b2d1e43038b3b59589cf81c5c2d316283d620bc327491aabd011e0fa66dde2c5ba8de5ad10
Homepage: https://cran.r-project.org/package=imputeTestbench
Description: CRAN Package 'imputeTestbench' (Test Bench for the Comparison of Imputation Methods)
 Provides a test bench for the comparison of missing data imputation methods
 in uni-variate time series. Imputation methods are compared using different
 error metrics. Proposed imputation methods and alternative error metrics can
 be used.

Package: r-cran-imputeyn
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-emplik, r-cran-mvtnorm, r-cran-survival, r-cran-boot
Filename: pool/dists/focal/main/r-cran-imputeyn_1.3-1.ca2004.1_all.deb
Size: 73700
MD5sum: 5325594cad5be2d1be37b9e1e2d72caf
SHA1: 9a4b9c060488cd69b23d74a82d9e1c13a781cc94
SHA256: 4b556deeb1258282819c7719470f35fb7ca53d68ac268a7205147880416a8721
SHA512: f615b251606aeef9d3061d6e8c740793a5ce6e970d7b882566e4dc8eacdcb54d0b9730785674cd75c367552ae7568036ed355a14965773a42ac441949496b4f8
Homepage: https://cran.r-project.org/package=imputeYn
Description: CRAN Package 'imputeYn' (Imputing the Last Largest Censored Observation(s) Under WeightedLeast Squares)
 Method brings less bias and more efficient estimates for AFT models.

Package: r-cran-imrmc
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5308
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imrmc_2.1.0-1.ca2004.1_all.deb
Size: 5003152
MD5sum: 65bd4c33f470aec5224efa8370f67e5c
SHA1: f709fbfa86bb2dec08769f936df855b6e3778242
SHA256: 624bbefca3f540d65ecd91a786e1d0cfb60353f09e05cdc3c53ba95fa03e0991
SHA512: daacd5bb313a7edcb662171694a3598b12691d5bca135d03a3c279755119507903b66bad31a955adb112cf4b61b2ec478cd5d7db9bb99d09e26caa37cd44ce2f
Homepage: https://cran.r-project.org/package=iMRMC
Description: CRAN Package 'iMRMC' (Multi-Reader, Multi-Case Analysis Methods (ROC, Agreement, andOther Metrics))
 This software does Multi-Reader, Multi-Case (MRMC) analyses of data from
 imaging studies where clinicians (readers) evaluate patient images (cases).
 What does this mean? ... Many imaging studies are designed so that every
 reader reads every case in all modalities, a fully-crossed study. In this
 case, the data is cross-correlated, and we consider the readers and cases to
 be cross-correlated random effects. An MRMC analysis accounts for the
 variability and correlations from the readers and cases when estimating
 variances, confidence intervals, and p-values. The functions in this package
 can treat arbitrary study designs and studies with missing data, not just
 fully-crossed study designs. An overview of this software, including
 references presenting details on the methods, can be found here:
 <https://www.fda.gov/medical-devices/science-and-research-medical-devices/imrmc-software-do-multi-reader-multi-case-statistical-analysis-reader-studies>.

Package: r-cran-imsig
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hiclimr, r-cran-rcolorbrewer, r-cran-igraph, r-cran-ggplot2, r-cran-gridextra, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-imsig_1.1.3-1.ca2004.1_all.deb
Size: 306592
MD5sum: 5e21d8108b0d95be4b81ab4152f3a978
SHA1: 81d2b6270da5228eb2fa33ce65bda428677335a4
SHA256: c26dc4ae80429fe5e1e6a356e10566ad7c44e9b39ce016953386dec32716b371
SHA512: 3831507a59feafbb3c3cd5916286858b57133290bc70309e6a3b78c56fdcf6367da3141b2315d43b99bb57618419e80f2682501d8d945c6d995b8fe13a03bb0c
Homepage: https://cran.r-project.org/package=imsig
Description: CRAN Package 'imsig' (Immune Cell Gene Signatures for Profiling the Microenvironmentof Solid Tumours)
 Estimate the relative abundance of tissue-infiltrating immune subpopulations
 abundances using gene expression data.

Package: r-cran-imtest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltm, r-cran-mass, r-cran-lme4, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-imtest_1.0.0-1.ca2004.1_all.deb
Size: 125788
MD5sum: e359cb1d1f587273d877cf42331df081
SHA1: ee6afc4495b9dc359404c282ac3ce35306b078f7
SHA256: 1646397292904ffbd377f7154b3d9edde4922a8d2f51118ab9938f5ffb5324e4
SHA512: 253fc370f8d80df4e162504e0382d1c42690492666314d2130454ee382aeeefd53680a2da8c078778c10f5bceddd72e2e3852b6a109d40a506d3e5191370037b
Homepage: https://cran.r-project.org/package=IMTest
Description: CRAN Package 'IMTest' (Information Matrix Test for Generalized Partial Credit Models)
 Implementation of the information matrix test for generalized partial credit
 models.

Package: r-cran-imvol
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyverse, r-cran-nls2, r-cran-caret, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-imvol_0.1.0-1.ca2004.1_all.deb
Size: 27992
MD5sum: cfa8ae24da39435880b67565484e493e
SHA1: fbe54ea6c8c0d674c9fba378c8950a17a8fbc318
SHA256: ce7e5aa9632a45d8c5d6420dd775b5d35b603b8cce8f6eace0c8a6258514ce78
SHA512: b000536b23ed90076928bee266f0e2b013674d1a9ed5a920ab9865f226366ee43e81c752c07cc8e4eeda50c2c6c4d1102dfda3bf547cdf3aa58b53a505c04034
Homepage: https://cran.r-project.org/package=ImVol
Description: CRAN Package 'ImVol' (Volume Prediction of Trees Using Linear and Nonlinear AllometricEquations)
 Volume prediction is one of challenging task in forestry research. This
 package is a comprehensive toolset designed for the fitting and validation
 of various linear and nonlinear allometric equations (Linear, Log-Linear,
 Inverse, Quadratic, Cubic, Compound, Power and Exponential) used in the
 prediction of conifer tree volume. This package is particularly useful for
 forestry professionals, researchers, and resource managers engaged in
 assessing and estimating the volume of coniferous trees. This package has
 been developed using the algorithm of Sharma et al. (2017)
 <doi:10.13140/RG.2.2.33786.62407>.

Package: r-cran-in2extremes
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-extremes
Filename: pool/dists/focal/main/r-cran-in2extremes_1.0-3-1.ca2004.1_all.deb
Size: 245104
MD5sum: 74029fe6372883eee687f8b3de89c7d9
SHA1: c5c1170a49dc16f11dd0a8f5f82d41decade3fc8
SHA256: 7b7e384b0a27ce1b65797601b51bb9b047afc67dd5e4b45d3d73921aac77a1cf
SHA512: 12b38429d8f1ee2f37fad57b0941a2b155b6370200a344c11c548b5642de1d738950a9fb47d6f00c084d967b30c20b67f3fed388c567faf76506c76b98f296b8
Homepage: https://cran.r-project.org/package=in2extRemes
Description: CRAN Package 'in2extRemes' (Into the extRemes Package)
 Graphical User Interface (GUI) to some of the functions in the package
 extRemes version >= 2.0 are included.

Package: r-cran-inaparc
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-kpeaks, r-cran-lhs
Filename: pool/dists/focal/main/r-cran-inaparc_1.2.0-1.ca2004.1_all.deb
Size: 262836
MD5sum: a8f67bbf2e5bf9635e97a6a63fedf860
SHA1: 6aab1ecc18186f20b695901c4a8a1b57202c330c
SHA256: dfffc8f76811710c2adc9b4854fe2c2ebc136740e5c058fb814d1dcd06455ce4
SHA512: 37a252c0f8aa05b5aed01ae8167defd18dba380c4d9a7f6b9fa920c528cf27cd5a602b7d11026df7bb447fddb0750e39090bdf0fc6138497bb4c7aa9459a436a
Homepage: https://cran.r-project.org/package=inaparc
Description: CRAN Package 'inaparc' (Initialization Algorithms for Partitioning Cluster Analysis)
 Partitioning clustering algorithms divide data sets into k subsets or
 partitions so-called clusters. They require some initialization procedures
 for starting the algorithms. Initialization of cluster prototypes is one of
 such kind of procedures for most of the partitioning algorithms. Cluster
 prototypes are the centers of clusters, i.e. centroids or medoids,
 representing the clusters in a data set. In order to initialize cluster
 prototypes, the package 'inaparc' contains a set of the functions that are
 the implementations of several linear time-complexity and loglinear
 time-complexity methods in addition to some novel techniques. Initialization
 of fuzzy membership degrees matrices is another important task for starting
 the probabilistic and possibilistic partitioning algorithms. In order to
 initialize membership degrees matrices required by these algorithms, a
 number of functions based on some traditional and novel initialization
 techniques are also available in the package 'inaparc'.

Package: r-cran-inbreedr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-inbreedr_0.3.3-1.ca2004.1_all.deb
Size: 399716
MD5sum: 4bf14c7a69d261e944ca060161f14bdb
SHA1: a0108944826423e1588cabd4a7e8acad24bc5e76
SHA256: a11b4a28f5407129ba702cf9a3cdc01fd317a7d89bc205ec7cb01e605aa0ba57
SHA512: 13420bc3871bd671c8cbb5e289ffe5e91ec11f0e72af9745d38cab321e4241ee0a83d6c1805b188a47cdb357026a558583f7a821940baa65d52d8c3e5edda00b
Homepage: https://cran.r-project.org/package=inbreedR
Description: CRAN Package 'inbreedR' (Analysing Inbreeding Based on Genetic Markers)
 A framework for analysing inbreeding and heterozygosity-fitness correlations
 (HFCs) based on microsatellite and SNP markers.

Package: r-cran-incase
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-magrittr, r-cran-plu, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-incase_0.3.2-1.ca2004.1_all.deb
Size: 185980
MD5sum: cf057aaf79885e746077ad2d2df3e560
SHA1: f60ff93dcde401c320c6ca1fbcab761966d16a28
SHA256: 70b57474e06b6e05e5773097f9a7bf71d9641ed2c8dbf87ce70a28042369c154
SHA512: 626d91a493e5454e81f6c4a570f70add5567026a71b32cd0cd41c1fddac2653e8d0fbbf0ff94a153035a615c9ddbf4949adedd80b052e3d4580e44942d294b79
Homepage: https://cran.r-project.org/package=incase
Description: CRAN Package 'incase' (Pipe-Friendly Vector Replacement with Case Statements)
 Offers a pipe-friendly alternative to the 'dplyr' functions case_when() and
 if_else(), as well as a number of user-friendly simplifications for common
 use cases.  These functions accept a vector as an optional first argument,
 allowing conditional statements to be built using the 'magrittr' dot
 operator.  The functions also coerce all outputs to the same type, meaning
 you no longer have to worry about using specific typed variants of NA or
 explicitly declaring integer outputs, and evaluate outputs somewhat lazily,
 so you don't waste time on long operations that won't be used.

Package: r-cran-incatome
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1802
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-limma, r-bioc-siggenes, r-bioc-multtest, r-bioc-genefilter, r-bioc-rankprod
Filename: pool/dists/focal/main/r-cran-incatome_1.0-1.ca2004.1_all.deb
Size: 1807224
MD5sum: 6d12cff61a2e1d979b1e05cf383bc595
SHA1: 5c56e20c792aff46766e120e8b95ce0ba3a10456
SHA256: 46d42e2eced32080742bfcbf8f160b4dafa02d1bd53a8cf5c40c07a410f5172f
SHA512: 62efc09397a5eac82d229418e500013968d4832aee3338124b07a4af033a0a41fbb09c27632638cdc599fd64486883ab1b07cb8e2ca4a9c51f01ed637452264e
Homepage: https://cran.r-project.org/package=INCATome
Description: CRAN Package 'INCATome' (Internal Control Analysis of Translatome Studies by Microarrays)
 Data analysis, normalisation and differential expression for Translatome
 studies by microarrays (T Sbarrato et al. RNA. 2017 Aug 25;
 <DOI:10.1261/rna.060525.116>).

Package: r-cran-incidence2
Architecture: all
Version: 2.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 872
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-grates, r-cran-data.table, r-cran-pillar, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-tidyselect, r-cran-rlang, r-cran-vctrs, r-cran-ympes
Suggests: r-cran-outbreaks, r-cran-ggplot2, r-cran-scales, r-cran-litedown, r-cran-testthat, r-cran-citools, r-cran-withr
Filename: pool/dists/focal/main/r-cran-incidence2_2.6.3-1.ca2004.1_all.deb
Size: 617208
MD5sum: c12bbe8367087f04cce16efa91fecc14
SHA1: 8dc8c47a8c40670de7c37c1d807517057fa22d65
SHA256: 2ebb837450b48d8c46d965b79df502ae10d6268c3a82397f47fb09d15122c53d
SHA512: c1922d5bdfe0a537171f42d57f900b40859eae6d09016c4ca5f53f471a3ca677e55c5b1f26d393ad3dd89c784c1518cc736d6a1adfb6021dfe98d11d93acc2cd
Homepage: https://cran.r-project.org/package=incidence2
Description: CRAN Package 'incidence2' (Compute, Handle and Plot Incidence of Dated Events)
 Provides functions and classes to compute, handle and visualise incidence
 from dated events for a defined time interval. Dates can be provided in
 various standard formats. The class 'incidence2' is used to store computed
 incidence and can be easily manipulated, subsetted, and plotted.

Package: r-cran-incidence
Architecture: all
Version: 1.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2359
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-aweek
Suggests: r-cran-magrittr, r-cran-outbreaks, r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-incidence_1.7.6-1.ca2004.1_all.deb
Size: 1376404
MD5sum: b41bc33b093c5e86b42ce10a03fa23e6
SHA1: 84b5d618c2f33913b08098ae0188642dd3e47057
SHA256: c113b2e51b92c50f4dd591cfbfe185e122f97aa3964f03ef85d79ff2fcbf229a
SHA512: 1a30b87ed9b623222d90adf5376674f7e8fc86b86f8f5a40206f1e1495f372aebdc525ce6803f3eb498c4b6285e97313edad0435793fc7eec56c8518b888a9a2
Homepage: https://cran.r-project.org/package=incidence
Description: CRAN Package 'incidence' (Compute, Handle, Plot and Model Incidence of Dated Events)
 Provides functions and classes to compute, handle and visualise incidence
 from dated events for a defined time interval. Dates can be provided in
 various standard formats. The class 'incidence' is used to store computed
 incidence and can be easily manipulated, subsetted, and plotted. In
 addition, log-linear models can be fitted to 'incidence' objects using
 'fit'. This package is part of the RECON
 (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Package: r-cran-incidenceprevalence
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2550
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cdmconnector, r-cran-cli, r-cran-clock, r-cran-dplyr, r-cran-glue, r-cran-omopgenerics, r-cran-magrittr, r-cran-patientprofiles, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-dbplyr, r-cran-rmarkdown, r-cran-rpostgres, r-cran-duckdb, r-cran-dbi, r-cran-odbc, r-cran-here, r-cran-hmisc, r-cran-epitools, r-cran-tictoc, r-cran-testthat, r-cran-spelling, r-cran-gt, r-cran-flextable, r-cran-ggplot2, r-cran-scales, r-cran-visomopresults, r-cran-patchwork, r-cran-binom
Filename: pool/dists/focal/main/r-cran-incidenceprevalence_1.2.0-1.ca2004.1_all.deb
Size: 791852
MD5sum: 079bff273739044ac5fb8286cf07404e
SHA1: f9cca165525ce339a53124198f3a4a6a8b51f6e3
SHA256: 5f11a6c944dec530edb439ac270ef57b62e185b5a7f8ff44df898bef16209c81
SHA512: 34149c2327f3d5778d0f8456189888abe5579d7cd2310d79de9c1b08e80d1eee686430fd7ad777857ef885f76d8348d8a3e9c1de1c5137795042268c17f50418
Homepage: https://cran.r-project.org/package=IncidencePrevalence
Description: CRAN Package 'IncidencePrevalence' (Estimate Incidence and Prevalence using the OMOP Common DataModel)
 Calculate incidence and prevalence using data mapped to the Observational
 Medical Outcomes Partnership (OMOP) common data model. Incidence and
 prevalence can be estimated for the total population in a database or for a
 stratification cohort.

Package: r-cran-incidental
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 645
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-matrixstats, r-cran-numderiv, r-cran-dlnm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-incidental_0.1-1.ca2004.1_all.deb
Size: 457916
MD5sum: 7dac104016457f01e4426972ae59a5e7
SHA1: a4decc500198937f21e51739bb19cd486c1a0157
SHA256: 3a7ec18d71d4ea976f3601799ec3a9d00733569661081aa06a76127f5c21fa26
SHA512: 75ff4b86bce64a6c64519f3b3d37963664b8eedd72865ed1e50ab647882f1eddeb488b777b139c8074da148b26d44a990b9b31fc4f94b3450769e368201527ff
Homepage: https://cran.r-project.org/package=incidental
Description: CRAN Package 'incidental' (Implements Empirical Bayes Incidence Curves)
 Make empirical Bayes incidence curves from reported case data using a
 specified delay distribution.

Package: r-cran-incidentally
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 939
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-xml2
Suggests: r-cran-backbone, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-incidentally_1.0.2-1.ca2004.1_all.deb
Size: 547216
MD5sum: fc17c34ea4eb89d16bba6f21707c50ee
SHA1: d9eef99b8a62202b599dc36d373c08aeff8f78ff
SHA256: 284b898acaeb9c5b9726ad92aca704fc12da5dc161ca11f45a280d011a1bf2e3
SHA512: a07895025c42e1261a2d18b937385c16dadc510b136bb37b2d65f38a345b011f4b5115cb34676da882916b2f1db42a400623cfbc272d826e7b850f8f42151651
Homepage: https://cran.r-project.org/package=incidentally
Description: CRAN Package 'incidentally' (Generates Incidence Matrices and Bipartite Graphs)
 Functions to generate incidence matrices and bipartite graphs that have (1)
 a fixed fill rate, (2) given marginal sums, (3) marginal sums that follow
 given distributions, or (4) represent bill sponsorships in the US Congress
 <doi:10.31219/osf.io/ectms>. It can also generate an incidence matrix from
 an adjacency matrix, or bipartite graph from a unipartite graph, via a
 social process mirroring team, group, or organization formation
 <doi:10.48550/arXiv.2204.13670>.

Package: r-cran-incompair
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-incompair_0.1.0-1.ca2004.1_all.deb
Size: 53212
MD5sum: 0e81e24e92c406f2b62613245dd1ef6d
SHA1: 2829295fe2aaf69f8017c8b4df742ed1e33b7fcf
SHA256: 13f516801f38f14644ddfd2be40c523a4c85b07354f58be4ca83023b4df4d6b9
SHA512: ebd5488826268df908139ed52cdd5e007cecea6de33f6cbb14a8208670be9eb7623ff41025059c5f1f19e07d2f40ca389802bafaf14c98ef7240c3db3e1fb05b
Homepage: https://cran.r-project.org/package=IncomPair
Description: CRAN Package 'IncomPair' (Comparison of Means for the Incomplete Paired Data)
 Implements a variety of nonparametric and parametric methods that are
 commonly used when the data set is a mixture of paired observations and
 independent samples. The package also calculates and returns values of
 different tests with their corresponding p-values.  Bhoj, D. S. (1991)
 <doi:10.1002/bimj.4710330108> "Testing equality of means in the presence of
 correlation and missing data".  Dubnicka, S. R., Blair, R. C., and
 Hettmansperger, T. P. (2002) <doi:10.22237/jmasm/1020254460> "Rank-based
 procedures for mixed paired and two-sample designs".  Einsporn, R. L. and
 Habtzghi, D. (2013)
 <https://pdfs.semanticscholar.org/89a3/90bafeb2bc41ed4414533cfd5ab84a6b54b6.pdf>
 "Combining paired and two-sample data using a permutation test".  Ekbohm, G.
 (1976) <doi:10.1093/biomet/63.2.299> "On comparing means in the paired case
 with incomplete data on both responses".  Lin, P. E. and Stivers, L. E.
 (1974) <doi:10.1093/biomet/61.2.325> On difference of means with incomplete
 data".  Maritz, J. S. (1995) <doi:10.1111/j.1467-842x.1995.tb00649.x> "A
 permutation paired test allowing for missing values".

Package: r-cran-incr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-suncalc, r-cran-lubridate
Suggests: r-cran-codetools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-incr_2.1.0-1.ca2004.1_all.deb
Size: 145868
MD5sum: eadc63f938119edf23ce3ea038ec0f6b
SHA1: d5f8602003e87b9ba23c65f75911b2888a7ae28a
SHA256: 2b17f64a0a2a8bc960a3c258cc91a7ecb59b51363c94f1027cd8087f4793d03b
SHA512: e9a1c4e822b62510423e133a2a41082b27cdfec4ef6a617f4f8896bd453be87f0e8c8c34c922f2e5ab271b4532ac6cd9b0a4dac527ad09b52ffc2eabd604ba38
Homepage: https://cran.r-project.org/package=incR
Description: CRAN Package 'incR' (Analysis of Incubation Data)
 Suite of functions to study animal incubation.  At the core of incR lies an
 algorithm that allows for the scoring of incubation behaviour. Additionally,
 several functions extract biologically relevant metrics of incubation such
 as off-bout number and off-bout duration - for a review of avian incubation
 studies, see Nests, Eggs, and Incubation: New ideas about avian reproduction
 (2015) edited by D. Charles Deeming and S. James Reynolds
 <doi:10.1093/acprof:oso/9780198718666.001.0001>.

Package: r-cran-inctools
Architecture: all
Version: 1.0.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-tibble, r-cran-cubature, r-cran-tmvtnorm, r-cran-ggplot2, r-cran-glm2, r-cran-plyr, r-cran-pracma, r-cran-foreach, r-cran-doparallel, r-cran-binom
Suggests: r-cran-survey, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inctools_1.0.15-1.ca2004.1_all.deb
Size: 225100
MD5sum: 5217c53db1f5aa0986d31d4a2d6d2c08
SHA1: dd1b38e22c4f46bd7f3aec6006207a9d5fb77a99
SHA256: 36512c2939c58abb92b1d846f874a20058a7173ea45c593fcd558603bf4f39f6
SHA512: c0590d6a9c5e39851988ef8925c4d1eb98abcaad9409fe4afc61a5285082ca32f9296cca7030759f3d764ecf7038c3ba84bcce54a124a09e0244c7cfca52ed51
Homepage: https://cran.r-project.org/package=inctools
Description: CRAN Package 'inctools' (Incidence Estimation Tools)
 Tools for estimating incidence from biomarker data in cross- sectional
 surveys, and for calibrating tests for recent infection.  Implements and
 extends the method of Kassanjee et al. (2012)
 <doi:10.1097/EDE.0b013e3182576c07>.

Package: r-cran-independenceweights
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-osqp, r-cran-locfit
Suggests: r-cran-cobalt
Filename: pool/dists/focal/main/r-cran-independenceweights_0.0.1-1.ca2004.1_all.deb
Size: 264112
MD5sum: b1bb1cb164210c46b68e02410caf1bc5
SHA1: e3535c0a3dc3eda2c6d72755febe3a162f037bd5
SHA256: 1fb88826bf08d3ac5237885a8b8e53d24b0bc2c39a1c2fdf7bf2dfe08440b5a2
SHA512: fe0ac0537357f89373c55f4ccc07e1cadcf7d7c1a662792ae105a5fb6f126143d8883405006408053fb7aacbaf15af143b55c68b3257af5d2bb8f0fb8ae38747
Homepage: https://cran.r-project.org/package=independenceWeights
Description: CRAN Package 'independenceWeights' (Estimates Weights for Confounding Control for Continuous-ValuedExposures)
 Estimates weights to make a continuous-valued exposure statistically
 independent of a vector of pre-treatment covariates using the method
 proposed in Huling, Greifer, and Chen (2021) <arxiv:2107.07086>.

Package: r-cran-indeptest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-mvtnorm, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-indeptest_0.2.0-1.ca2004.1_all.deb
Size: 38192
MD5sum: d0b229a28f90000cdc69fce487734922
SHA1: 91d99fd9bc484f85022c52de8262e07af4d34959
SHA256: 81a2c24d41d732b6d97d6981b4ed71f2b6d46e831a66aaa9f411a05a5f192f5c
SHA512: c83d384daaee7ee15d11660233e8ce1fab58f77a56892dfec695db856a91398bd776ff38ca27228b885ed302c02a3e5c0ec26706cf7397ee2caeb6bae7d35211
Homepage: https://cran.r-project.org/package=IndepTest
Description: CRAN Package 'IndepTest' (Nonparametric Independence Tests Based on Entropy Estimation)
 Implementations of the weighted Kozachenko-Leonenko entropy estimator and
 independence tests based on this estimator, (Kozachenko and Leonenko (1987)
 <http://mi.mathnet.ru/eng/ppi797>). Also includes a goodness-of-fit test for
 a linear model which is an independence test between covariates and errors.

Package: r-cran-index0
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-index0_0.0.1-1.ca2004.1_all.deb
Size: 16308
MD5sum: 5456ec013bf66d5a53d2156fb0455503
SHA1: 63180ebe92e3b72cb45f6387674027f76c494b75
SHA256: 704463db5bf2ade21bbe032c1cff9b6340de7428cd221db3fa89b871ae64e36b
SHA512: 3c27f9f70f3f601f3899450213a12f69c4ab029d9dd55d395f50d715d85bcc49964168e2b843c0c2e937282574209b736df11f829615fa1871e4f43e47b5979c
Homepage: https://cran.r-project.org/package=index0
Description: CRAN Package 'index0' (Zero-Based Indexing in R)
 Extract and replace elements using indices that start from zero (rather than
 one), as is common in mathematical notation and other programming languages.

Package: r-cran-indexconstruction
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4607
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-fgarch, r-cran-lubridate, r-cran-xts, r-cran-rcppbdt, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-indexconstruction_0.1-3-1.ca2004.1_all.deb
Size: 4675832
MD5sum: 4866afda829972018d72cb5f370c3c85
SHA1: a58ff479fe7c0a9206d205020abe6ddf55bc89ff
SHA256: 447afa183a587a61101c9d6f75986cf6fadf092493a7ea6d1345c7d8520f8628
SHA512: 68dfca68959282784d4400e53117cda617e76ffb4ebb61d85817ef7bf68837502d1c20727a045864b41100f1816910332e48c26b89cbed561b3df5eacf4c1cd6
Homepage: https://cran.r-project.org/package=IndexConstruction
Description: CRAN Package 'IndexConstruction' (Index Construction for Time Series Data)
 Derivation of indexes for benchmarking purposes. A methodology with flexible
 number of constituents is implemented. Also functions for market
 capitalization and volume weighted indexes with fixed number of constituents
 are available. The main function of the package, indexComp(), provides the
 derived index, suitable for analysis purposes. The functions indexUpdate(),
 indexMemberSelection() and indexMembersUpdate() are components of
 indexComp() and enable one to construct and continuously update an index,
 e.g. for display on a website. The methodology behind the functions provided
 gets introduced in Trimborn and Haerdle (2018)
 <doi:10.1016/j.jempfin.2018.08.004>.

Package: r-cran-indexnumber
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-indexnumber_1.3.2-1.ca2004.1_all.deb
Size: 74252
MD5sum: 6bcf5910d468baaeecff4b1aca07ca00
SHA1: 0ee04072ba2e9839fa5cafba23ceb55ae2284ab7
SHA256: 5ed72bcc779fe5fb159b74bfc93e0675fa1c0efc0309fd6297f3a7f5c5aa28b9
SHA512: 3649f03a6302761930a0ffdf97c4bafaf0cfde324f259a6469a716ae251f91f21b70645dc60520dbb7488b3b87e3ddcc059c289fcd323160595e5d532c40e4b7
Homepage: https://cran.r-project.org/package=IndexNumber
Description: CRAN Package 'IndexNumber' (Index Numbers in Social Sciences)
 We provide an R tool for teaching in Social Sciences. It allows the
 computation of index numbers. It is a measure of the evolution of a fixed
 magnitude for only a product of for several products. It is very useful in
 Social Sciences. Among others, we obtain simple index numbers (in chain or
 in serie), index numbers for not only a product or weighted index numbers as
 the Laspeyres index (Laspeyres, 1864), the Paasche index (Paasche, 1874) or
 the Fisher index (Lapedes, 1978).

Package: r-cran-indexnumbertools
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-indexnumbertools_1.1-1.ca2004.1_all.deb
Size: 118524
MD5sum: 52cd3ddf03fee6650c27a136424bd2de
SHA1: bfdd8e44209139a5da24fc5ba82bbb4234b73f86
SHA256: f88c7f0e4db6b6ece6fdfe1cfc9e3d20c18b5e42f2e4867e9318f15aa0cbd30e
SHA512: a80219f57bcc4a0e5332abcaa6690a844be3b425c391ef7987afec14427fa2f351850e363ece1505d996ff5919eac328919974a305cb7cbebdbb040f6a0ee286
Homepage: https://cran.r-project.org/package=IndexNumberTools
Description: CRAN Package 'IndexNumberTools' (Working with Index Numbers)
 A set of utilities for manipulating index numbers series including
 chain-linking, re-referencing, and computing growth rates.

Package: r-cran-indexnumr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-indexnumr_0.6.0-1.ca2004.1_all.deb
Size: 269780
MD5sum: 578d9b60ab2fd6dcdb126f53bcb936f8
SHA1: 0267ff50cfa83cbd7b0a2cefc3648178497ec48a
SHA256: ee8e7cb4dd53f0d9ffe6f0a144041844e46d60909d51bccef2680028d32ff2e4
SHA512: 47ffa374e6045d6ebce5f0d6744d7513fda3dd9ae345d6b1a6f0928ff0c215e36ebafc66cce1a1804bc536c88ff9f7de0a51471edb5ed9071b841be731472829
Homepage: https://cran.r-project.org/package=IndexNumR
Description: CRAN Package 'IndexNumR' (Index Number Calculation)
 Computes bilateral and multilateral index numbers.  It has support for many
 standard bilateral indexes as well as multilateral index number methods such
 as GEKS, GEKS-Tornqvist (or CCDI), Geary-Khamis and the weighted time
 product dummy (for details on these methods see Diewert and Fox (2020)
 <doi:10.1080/07350015.2020.1816176>).  It also supports updating of
 multilateral indexes using several splicing methods.

Package: r-cran-indexr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-readr, r-cran-dplyr, r-cran-digest, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-indexr_0.2.2-1.ca2004.1_all.deb
Size: 144228
MD5sum: e4efd6bebcffd16cbdd89fc4cc3c924e
SHA1: b1c2350c383fe4cd64ede3bd623f4057bd86b0a8
SHA256: a4615deea2ee9cbf7761813af1ea6e56bc7bd33f558754832ca160ebc4d6cc81
SHA512: bde5d40fd23310a95aa8bb277113ad42dc2db3dc49025b6e11a83fa94c2e7ce2222ddaa36f0eb5de90ffba8cc76465bae7fc65390db3d14eee93a669792eac66
Homepage: https://cran.r-project.org/package=indexr
Description: CRAN Package 'indexr' (A Thoughtful Saver of Results)
 Helps with the thoughtful saving, reading, and management of result files
 (using 'rds' files). The core functions take a list of parameters that are
 used to generate a unique hash to save results under. Then, the same
 parameter list can be used to read those results back in. This is helpful to
 avoid clunky file naming when running a large number of simulations.
 Additionally, helper functions are available for compiling a flat file of
 parameters of saved results, monitoring result usage, and cleaning up
 unwanted or unused results. For more information, visit the 'indexr'
 homepage <https://lharris421.github.io/indexr/>.

Package: r-cran-indexwizard
Architecture: all
Version: 0.2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-indexwizard_0.2.1.0-1.ca2004.1_all.deb
Size: 49376
MD5sum: 6ebead2e9e0f9abdb89a26ce18288cb3
SHA1: 731721ae075631201e71f26978f1591ba930e94e
SHA256: d158bbb02005de29fd11f4b0505e7ed8c67ad8188a2fc4995b65c30ba6fa9bc5
SHA512: a7312e1d3775504a890655672c0dab23c356b7cd7562cdd68af2089cc1e6a8db1f1269dc59d6a08d908c47580cf72caa4d7a817e04cb86cba5e6e50044313d89
Homepage: https://cran.r-project.org/package=IndexWizard
Description: CRAN Package 'IndexWizard' (Constructing and Analyzing Complex Selection Indices)
 Allows the construction selection indices based on estimated breeding values
 in animal and plant breeding and to calculate several analytic measures
 around to assess its impact on genetic and phenotypic progress. The
 methodology thereby allows to analyze genetic gain of traits in the breeding
 goal which are not part of the actual index and automatically computes
 several analytic measures. It further allows to retrospectively derive
 realized economic weights from observed genetic trends. The framework is
 described in Simianer, H., Heise, J., Rensing, S., Pook, T. Geibel, J. and
 Reimer, C. (2023) <doi:10.1186/s12711-023-00807-0>.

Package: r-cran-india
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastmatrix, r-cran-l1pack
Filename: pool/dists/focal/main/r-cran-india_0.1-1.ca2004.1_all.deb
Size: 48576
MD5sum: c69f26f65f6442efbe7f3da6ba709ae4
SHA1: 6709272ce76f3b7dde867b3b7d418e38f4edec4a
SHA256: 303fafd65376820ab01689c3976ff5f7959b575bc083516e78d9ebbb718f2758
SHA512: 350baf902c694b369e6da331d3e058364abe35e3b03ea791d1ae39432da4197698ae65d96e6165f840f21ffe6dcfeb2d33e59175accdb7e40f58e55c027e1973
Homepage: https://cran.r-project.org/package=india
Description: CRAN Package 'india' (Influence Diagnostics in Statistical Models)
 Set of routines for influence diagnostics by using case-deletion in ordinary
 least squares, ridge estimation [Walker and Birch (1988).
 <doi:10.1080/00401706.1988.10488370>] and least absolute deviations (LAD)
 regression [Sun and Wei (2004). <doi:10.1016/j.spl.2003.08.018>].

Package: r-cran-indiantaxcalc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-indiantaxcalc_1.0.2-1.ca2004.1_all.deb
Size: 17684
MD5sum: f795a0c1a697ccefd0507f82090076b0
SHA1: 17e1e44ccad568a0b3242372beb4529b89e49649
SHA256: 2bf664ce5aba4d184a724dc8e45134d1ce2ecd59d5f2fbab428cbe7283619725
SHA512: 3cba390387820b424fb29967352aa8c209ff4e7e94a83c42df93c4b85fb9b01e23b58ed92c78338c3dd22c6320d7a458d8d9c335d0df55e2a3dc28b03c5242a5
Homepage: https://cran.r-project.org/package=IndianTaxCalc
Description: CRAN Package 'IndianTaxCalc' (Indian Income Tax Calculator)
 Calculate Indian Income Tax liability for Financial years of Individual
 resident aged below 60 years,Senior Citizen,Super Senior Citizen, Firm,
 Local Authority, Any Non Resident Individual / Hindu Undivided Family /
 Association of Persons /Body of Individuals / Artificial Judicial Person,
 Co-operative Society.

Package: r-cran-indicator
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-missmethods, r-cran-norm
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-indicator_0.1.3-1.ca2004.1_all.deb
Size: 82980
MD5sum: 13425d5f5529005def744f10011bd3b7
SHA1: 954fd1b210207effc94c746a1b02cc00ec61d30c
SHA256: 1582c38a7dd48e37424149ba51ec36ea81d1eb0e8dddcaef8a478f47718a012e
SHA512: 6e6163a80aa4687fa351de9bbb00b249383df11a2df39fdaa390ec5e0afc209c6af3ac56410a219fa60f72a7567e7939444e3adeb7e4bfc855234a834d53ab4c
Homepage: https://cran.r-project.org/package=Indicator
Description: CRAN Package 'Indicator' (Composite 'Indicator' Construction and Imputation Data)
 Different functions includes constructing composite indicators, imputing
 missing data, and evaluating imputation techniques. Additionally, different
 tools for data normalization. Detailed methodologies of 'Indicator' package
 are: OECD/European Union/EC-JRC (2008), "Handbook on Constructing Composite
 Indicators: Methodology and User Guide", OECD Publishing, Paris,
 <DOI:10.1787/533411815016>, Matteo Mazziotta & Adriano Pareto, (2018)
 "Measuring Well-Being Over Time: The Adjusted Mazziotta–Pareto Index Versus
 Other Non-compensatory Indices" <DOI:10.1007/s11205-017-1577-5> and De Muro
 P., Mazziotta M., Pareto A. (2011), "Composite Indices of Development and
 Poverty: An Application to MDGs" <DOI:10.1007/s11205-010-9727-z>.

Package: r-cran-indicspecies
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-permute
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-indicspecies_1.8.0-1.ca2004.1_all.deb
Size: 338208
MD5sum: bf1fa877a0ea346f07ca2b8dc3eba2ef
SHA1: 167053309472681306495e0f5eb17ab937f8371b
SHA256: 2f2b3cfc794e4dd701fa3c2c0a33da7ed3f011207560cee7b583b37fe9adbc05
SHA512: ea39da8bfbe44c1c559240dc0cf3b3003ec24750e4dd1f31e668729db570be28dda14a3c57ce64545720a2c0451d6b138d94726f147f77073b6f0d72161dfc71
Homepage: https://cran.r-project.org/package=indicspecies
Description: CRAN Package 'indicspecies' (Relationship Between Species and Groups of Sites)
 Functions to assess the strength and statistical significance of the
 relationship between species occurrence/abundance and groups of sites [De
 Caceres & Legendre (2009) <doi:10.1890/08-1823.1>]. Also includes functions
 to measure species niche breadth using resource categories [De Caceres et
 al. (2011) <doi:10.1111/J.1600-0706.2011.19679.x>].

Package: r-cran-indiedown
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-gfonts, r-cran-rlang, r-cran-withr
Suggests: r-cran-callr, r-cran-knitr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-indiedown_0.1.1-1.ca2004.1_all.deb
Size: 710172
MD5sum: 5a739327399de1622daa067bd2f6f5de
SHA1: 90d0471093cc1a4e84f8a190a55c4727ff40cf6b
SHA256: 82fd76f38ccf6e481fc45dea2d51883f743f47b3ffc113f184755951ac4fdf24
SHA512: 74eeb9acb5c96332075de94c9ba649961d3b61da63202e4e68686dcb8a697128fc9a550d5334d828fcecd4ca6d94175c6aa1664e01e78b28180423de70b083b3
Homepage: https://cran.r-project.org/package=indiedown
Description: CRAN Package 'indiedown' (Individual R Markdown Templates)
 Simplifies the generation of customized R Markdown PDF templates.  A
 template may include an individual logo, typography, geometry or color
 scheme. The package provides a skeleton with detailed instructions for
 customizations. The skeleton can be modified by changing defaults in the
 'YAML' header, by adding additional 'LaTeX' commands or by applying dynamic
 adjustments in R. Individual corporate design elements, such as a title
 page, can be added as R functions that produce 'LaTeX' code.

Package: r-cran-indirect
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-indirect_0.2.1-1.ca2004.1_all.deb
Size: 259164
MD5sum: 1099a18106dbd0b6f5200361f7aba2ec
SHA1: 06e0fae36f43115b7785c0a9b54debf893eb4bb4
SHA256: 129fc623090aacf22bd42d59d18238849ad16a60a26c3376e1cd833c3ecbfc35
SHA512: 299e46b5610e14241ff99d2f154b2094faa90922c88c79f62e79760c480eab879c9a4131a9c231000435f75e825e87130f9429662a8104ec9d7917e77fa437a5
Homepage: https://cran.r-project.org/package=indirect
Description: CRAN Package 'indirect' (Elicitation of Independent Conditional Means Priors forGeneralised Linear Models)
 Functions are provided to facilitate prior elicitation for Bayesian
 generalised linear models using independent conditional means priors. The
 package supports the elicitation of multivariate normal priors for
 generalised linear models. The approach can be applied to indirect
 elicitation for a generalised linear model that is linear in the parameters.
 The package is designed such that the facilitator executes functions within
 the R console during the elicitation session to provide graphical and
 numerical feedback at each design point. Various methodologies for eliciting
 fractiles (equivalently, percentiles or quantiles) are supported, including
 versions of the approach of Hosack et al. (2017)
 <doi:10.1016/j.ress.2017.06.011>. For example, experts may be asked to
 provide central credible intervals that correspond to a certain probability.
 Or experts may be allowed to vary the probability allocated to the central
 credible interval for each design point. Additionally, a median may or may
 not be elicited.

Package: r-cran-indisc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-indisc_1.1.0-1.ca2004.1_all.deb
Size: 152172
MD5sum: ea594ec9fb9696b300cbb54e992fc04f
SHA1: 9fc0133a8b5038ad307b411d2be716eaae899395
SHA256: 921f817989c3d9c0ddba6be99c97de4aead5ed1c948f1e4cb014ca714c6f4d88
SHA512: 0dcb3cf1ef44055b83875de477312d4035e11ad0a15b644f480792bf08f8371a9e20886e64fcdcae6f5e826daece277a7abe30687c5c47558ed1e1378988ea50
Homepage: https://cran.r-project.org/package=InDisc
Description: CRAN Package 'InDisc' (Obtaining and Estimating Unidimensional and Multidimensional IRTDual Models)
 Performs a unified approach for obtaining and estimating unidimensional and
 multidimensional Item Response Theory (IRT) Dual Models (DMs), proposed by
 Ferrando (2019 <doi:10.1177/0146621618817779>).

Package: r-cran-indtestpp
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 572
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-indtestpp_3.0-1.ca2004.1_all.deb
Size: 542828
MD5sum: ef84ed7d965b96c90e1de016ed424bcb
SHA1: 36b4260c4e60ee467c35109e1e83b0003ff7b161
SHA256: 0c2b4becb0bec341bee408c5bb939b46f7b05b45c99cd1824c50b6171c497bd1
SHA512: faae5e2d2a05167f9b00646faa2bc710d5ff1a4e8c2c0429a1985a905c1460a2da49df76d8c2a6e798ae863edbf555f1d05f9fd2579c8126c329e3e222e6ead9
Homepage: https://cran.r-project.org/package=IndTestPP
Description: CRAN Package 'IndTestPP' (Tests of Independence and Analysis of Dependence Between PointProcesses in Time)
 It provides a general framework to analyse dependence between point
 processes in time. It includes parametric and non-parametric tests to study
 independence, and functions for generating and analysing different types of
 dependence.

Package: r-cran-industrial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 872
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-rlang, r-cran-lattice, r-cran-sixsigma
Suggests: r-cran-glue, r-cran-tibble, r-cran-stringr, r-cran-scales, r-cran-purrr, r-cran-janitor, r-cran-patchwork, r-cran-forcats, r-cran-broom, r-cran-viridis, r-cran-learnr, r-cran-doe.base, r-cran-qcc, r-cran-car, r-cran-qicharts2, r-cran-rsm, r-cran-ggforce, r-cran-ggraph, r-cran-tidygraph, r-cran-igraph, r-cran-bookdown, r-cran-rmarkdown, r-cran-knitr, r-cran-agricolae, r-cran-rcmdrmisc, r-cran-gt, r-cran-skimr, r-cran-ggtext
Filename: pool/dists/focal/main/r-cran-industrial_0.1.0-1.ca2004.1_all.deb
Size: 306436
MD5sum: 77c76166852181898f096abecb6c6cb0
SHA1: 12527c66b314cc8bdc5a2e0f88b866c18306e1de
SHA256: 3a811d6cc559a5fa94b6c5c912ce0274d4394f6d59f48f7e0e781db98196d130
SHA512: 9567e7245f919f9c8c8f78f7b29078498487ca421ff79748cfc88870f46882bb714d9a21b4609d4320d8654714947d00e037ce425311cfebd03a540e7c32fa6d
Homepage: https://cran.r-project.org/package=industRial
Description: CRAN Package 'industRial' (Data, Functions and Support Materials from the Book "industRialData Science")
 Companion package to the book "industRial data science", J.Ramalho (2021)
 <https://j-ramalho.github.io/industRial/>.  Provides data sets and functions
 to complete the case studies and contains the book original Rmd files and
 tutorials.

Package: r-cran-ineatlas
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2056
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-readr, r-cran-sf, r-cran-stringr, r-cran-zip
Suggests: r-cran-data.table, r-cran-extrafont, r-cran-ggplot2, r-cran-ggtext, r-cran-knitr, r-cran-mapspain, r-cran-mockery, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ineatlas_0.1.3-1.ca2004.1_all.deb
Size: 1545804
MD5sum: 5f9907a02521f1ba59989b7718e90935
SHA1: 533871317fbe15c1405a54ec02eb0c6babcc8559
SHA256: efd4763df3f7c0758b80c409ad8dc04a4e466dc197c5f58c3979a29ce8c65e79
SHA512: b93e02771350e5032f76ee4c691585293b2282ce19b76b3c69a1b02999652c4bebcd011e0096eb17feca2292a93fa0eb00028a95e6959ee06da16ed585061d74
Homepage: https://cran.r-project.org/package=ineAtlas
Description: CRAN Package 'ineAtlas' (Access to Spanish Household Income Distribution Atlas Data)
 Provides access to granular socioeconomic indicators from the Spanish
 Statistical Office (INE) Household Income Distribution Atlas.  The package
 downloads and processes data from a companion 'GitHub' repository
 (<https://github.com/pablogguz/ineAtlas.data/>) which contains processed
 versions of the official INE Atlas data. Functions are provided to fetch
 data at multiple geographic levels (municipalities, districts, and census
 tracts), including income indicators, demographic characteristics, and
 inequality metrics. The data repository is updated every year when new
 releases are published by INE.

Package: r-cran-inecolr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-betapart, r-cran-boot, r-cran-cli, r-cran-gmodels, r-cran-gtools, r-cran-multcomp, r-cran-stringr, r-cran-terra, r-cran-tree, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-inecolr_0.1.0-1.ca2004.1_all.deb
Size: 100816
MD5sum: 9748aa3dec5b1c93d6791f381cac92e6
SHA1: 42a235e7d1448fea3b838173acf6d26388c07854
SHA256: 555f324f1da3d328a7eb8070f5929631bd01d81b61d55a4ed7b1e1653d0db07f
SHA512: 1de7a88324d5025ead55afae45f925b40457e23a6570ec86497d16f307b31e7fcb8c846ede099b3db49bcdfb08af3b2f562543e07491fb4047eebbb3b2ed6a67
Homepage: https://cran.r-project.org/package=inecolr
Description: CRAN Package 'inecolr' (Modeling and Plotting for Ecologist)
 It provides multiple functions that are useful for ecological research and
 teaching statistics to ecologists. It is based on data analysis courses
 offered at the Instituto de Ecología AC (INECOL). For references and
 published evidence see, Manrique-Ascencio, et al (2024)
 <doi:10.1111/gcb.17282>, Manrique-Ascencio et al (2024)
 <doi:10.1111/plb.13683>, Ruiz-Guerra et al(2017) <doi:10.17129/botsci.812>,
 Juarez-Fragoso et al (2024) <doi:10.1007/s10980-024-01809-z>, Papaqui-Bello
 et al (2024) <doi:10.13102/sociobiology.v71i2.10503>.

Package: r-cran-inegir
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-xml, r-cran-plyr, r-cran-jsonlite, r-cran-lubridate, r-cran-tibbletime
Filename: pool/dists/focal/main/r-cran-inegir_3.0.0-1.ca2004.1_all.deb
Size: 84360
MD5sum: 08164ebce319900e3ca65dae64a2fb7c
SHA1: 05f3e602bcfd762b0bb4e51e496b489ddddf12d9
SHA256: 956fb114b43647b4ad7eacf4e5e03360913981869f590b27c171ae4b56e9cfaa
SHA512: bf89ada8eeb74f7f89de026dfd7b855500c1206c583e74053eb8dd68756ef692419fb909ecac92fe3070c361ade4fa08ffb779fdc0fcd7138c797a1ec47ba9b4
Homepage: https://cran.r-project.org/package=inegiR
Description: CRAN Package 'inegiR' (Integrate INEGI’s (Mexican Stats Office) API with R)
 Provides functions to download and parse information from INEGI (Official
 Mexican statistics agency). To learn more about the API, see
 <https://www.inegi.org.mx/servicios/api_indicadores.html>.

Package: r-cran-ineptr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-httr2, r-cran-lifecycle, r-cran-magrittr, r-cran-progressr, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-curl, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ineptr_0.2.1-1.ca2004.1_all.deb
Size: 137292
MD5sum: 302569a8e6605873919543bb8ac4da64
SHA1: 4cb877da50e088fb6e8e254a4312695d7eb6a845
SHA256: 593688664c54f88bddd8df1ef24c1876854cf6f62a90456065f6c6b1e476bc7b
SHA512: ca9fc80528a82983969e251a0a98610d8d0d2a8851c133f1245d2d319c357a1d2dcd63e52a62c5825587a68621fa807d73166eb0f9202a1106ce428c1751b3d9
Homepage: https://cran.r-project.org/package=ineptR
Description: CRAN Package 'ineptR' (Wrapper for Statistics Portugal API)
 Set of wrapper and helper functions to facilitate interaction with the
 Statistics Portugal (Instituto Nacional de Estatistica - INE) API
 (<https://www.ine.pt/xportal/xmain?xpid=INE&xpgid=ine_api&INST=322751522&xlang=en>).

Package: r-cran-ineq.2d
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ineq.2d_0.1.0-1.ca2004.1_all.deb
Size: 49580
MD5sum: 45110ad414777ac56024df425ba0f070
SHA1: a319d0a177bd69ae91e6e73cbae00a2d48bfa8ae
SHA256: 6f6484b85b77a9d64cb1c374d71e401d722deb16b551da4f978dadb4b12481ea
SHA512: b4ca311ce95ff2ad35bbb638125f620076cd70ee59e595b58c5f4ce6e85bc83bd687c0f434cc410aa7fe136b822ee90d9550a1541e8b7bd8a5ff18a4d4d16019
Homepage: https://cran.r-project.org/package=ineq.2d
Description: CRAN Package 'ineq.2d' (Two-Dimensional Decomposition of the Theil Index and the SquaredCoefficient of Variation)
 Decomposition of income inequality by groups formed of individuals
 possessing similar characteristics (e.g., sex, education, age) and their
 income sources at the same time.  Decomposition of the Theil index is based
 on Giammatteo, M. (2007) <https://www.lisdatacenter.org/wps/liswps/466.pdf>.
 Decomposition of the squared coefficient of variation is based on
 Garcia-Penalosa, C., & Orgiazzi, E. (2013) <doi:10.1111/roiw.12054>.

Package: r-cran-ineq
Architecture: all
Version: 0.2-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ineq_0.2-13-1.ca2004.1_all.deb
Size: 87476
MD5sum: 49bd0b03b34abc081303a41e78e33bda
SHA1: 93444da5214cf1cb6996c7e01fc4e34c1fa94609
SHA256: cd41d4b38ed325a08b207278b45465bb5fa142fb240989969d441fb89b914d3f
SHA512: b1bfa2d22b3752d545ff2b39b98e46b4830cef01cb1a90ba4a9e07d827b41f1d8cf188962fe2f86f9710c537cf07163e6ed3129ae8206c690fb6e053481159d2
Homepage: https://cran.r-project.org/package=ineq
Description: CRAN Package 'ineq' (Measuring Inequality, Concentration, and Poverty)
 Inequality, concentration, and poverty measures. Lorenz curves (empirical
 and theoretical).

Package: r-cran-ineqjd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ineqjd_1.0-1.ca2004.1_all.deb
Size: 66476
MD5sum: 79afa77ab45efacb756012edb2defe3a
SHA1: 9a9628c4d762a9facc94e31cecad1d6956edbf0e
SHA256: b5afe30ab5b0de659deb3a3a2d8908b1c1b25e3832f03701b556ec903eb9640b
SHA512: cd466410ec56cda5f9583c2803ce9f8b8dbda83f8f867fc8af358b9dc7cdd0384cd074f44c1a4344b4276702ac83ead188a922ea19a4d9bd628040806dcec6e7
Homepage: https://cran.r-project.org/package=ineqJD
Description: CRAN Package 'ineqJD' (Inequality Joint Decomposition)
 Computes and decomposes Gini, Bonferroni and Zenga 2007 point and synthetic
 concentration indexes. Decompositions are intended: by sources, by
 subpopulations and by sources and subpopulations jointly. References, Zenga
 M. M.(2007) <doi:10.1400/209575> Zenga M. (2015) <doi:10.1400/246627> Zenga
 M., Valli I. (2017) <doi:10.26350/999999_000005> Zenga M., Valli I. (2018)
 <doi:10.26350/999999_000011>.

Package: r-cran-inet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hdi, r-cran-glmnet, r-cran-mass
Filename: pool/dists/focal/main/r-cran-inet_0.1.0-1.ca2004.1_all.deb
Size: 64252
MD5sum: cd88fe571ff1ed75cdf6a3ce55a7d239
SHA1: 7d1ca781b54e54cafdd8eff6e91e6f8fcc0bb7dd
SHA256: 05047fe9b25062a90161a5646885252fe5cf761dacd1ab3164b8edce4389629d
SHA512: 23c7a8a6ee2b8090c9b8882ff072df51191b899faa03e9e61b54b95e273d735aba95ed340e8d493f6c1feab8add2227ccce53af958e6f89ad70b0fe43754689f
Homepage: https://cran.r-project.org/package=inet
Description: CRAN Package 'inet' (Performing Inference on Networks with Regularization)
 Performs inference with the lasso in Gaussian Graphical Models. The package
 consists of wrappers for functions from the 'hdi' package.

Package: r-cran-inettool
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4969
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-r2r, r-cran-ggplot2, r-cran-ggpubr, r-cran-multinet, r-cran-robin
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inettool_0.1.1-1.ca2004.1_all.deb
Size: 4721512
MD5sum: 093c86b77816bbc7bfcdda7148b9e838
SHA1: 11bbed6cf82bf33f03fe5fe91c062348888a5fbb
SHA256: 297c1893f1290ecd6b754ed9f96678503a92d3ffc051d16be2a09ba4aba0d636
SHA512: adbda1e57d46f9b1a08d53bdd1c0edc26631f695142fd2e9d6e4c856c680fc66bf4d689680797060bcb6eb3fc82eeb0930c859b4e29cbc0c2e855a9a591ebaca
Homepage: https://cran.r-project.org/package=INetTool
Description: CRAN Package 'INetTool' (Integration Network)
 It constructs a Consensus Network which identifies the general information
 of all the layers and Specific Networks for each layer with the information
 present only in that layer and not in all the others.The method is described
 in Policastro et al. (2024) "INet for network integration"
 <doi:10.1007/s00180-024-01536-8>.

Package: r-cran-inext.4steps
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 786
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-dplyr, r-cran-ggpubr, r-cran-purrr, r-cran-inext.3d
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inext.4steps_1.0.1-1.ca2004.1_all.deb
Size: 448324
MD5sum: 5613e949830d9471af5bca7c7d0027c4
SHA1: b9c6d95e3363a0fb80b84ae914ba31af37266409
SHA256: 81406d1925f8fbc8c45615bc0d612a743fdd41cf0be9dcd54567a69c67b2e73b
SHA512: 698665145f7b0cd58b418eda432cd8ba89460725eacdc8cf09b901355ae1f749c1817714c86dc596257dd31129794670b7e58caea956e07548fe17903d12a8ab
Homepage: https://cran.r-project.org/package=iNEXT.4steps
Description: CRAN Package 'iNEXT.4steps' (Four-Step Biodiversity Analysis Based on 'iNEXT')
 Expands 'iNEXT' to include the estimation of sample completeness and
 evenness. The package provides simple functions to perform the following
 four-step biodiversity analysis: STEP 1: Assessment of sample completeness
 profiles.  STEP 2a: Analysis of size-based rarefaction and extrapolation
 sampling curves to determine whether the asymptotic diversity can be
 accurately estimated.  STEP 2b: Comparison of the observed and the estimated
 asymptotic diversity profiles.  STEP 3: Analysis of non-asymptotic
 coverage-based rarefaction and extrapolation sampling curves.  STEP 4:
 Assessment of evenness profiles.  The analyses in STEPs 2a, 2b and STEP 3
 are mainly based on the previous 'iNEXT' package. Refer to the 'iNEXT'
 package for details. This package is mainly focusing on the computation for
 STEPs 1 and 4. See Chao et al. (2020) <doi:10.1111/1440-1703.12102> for
 statistical background.

Package: r-cran-inext.beta3d
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1098
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-abind, r-cran-inext.3d, r-cran-future.apply, r-cran-tibble, r-cran-dplyr, r-cran-tidytree, r-cran-tidyr, r-cran-phyclust, r-cran-ape
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-inext.beta3d_1.0.2-1.ca2004.1_all.deb
Size: 911352
MD5sum: 09755ec7a4cb20a663146246437a1dfe
SHA1: eed9cd1e68fbe51c7defcaea0b0be3599ed2ed68
SHA256: 8652ece7b4938afcd592abf03f98764593f4a6309fb8643e9efcce3c18cb9040
SHA512: 1bd39036398ab9bf7619b1d9f5a1d589f6fd703624cd8aec12784977825b01391c076d2cc854c47135c8ca4e666e7e3f9852e7f82b116f267935768bdf3d04d0
Homepage: https://cran.r-project.org/package=iNEXT.beta3D
Description: CRAN Package 'iNEXT.beta3D' (Interpolation and Extrapolation with Beta Diversity for ThreeDimensions of Biodiversity)
 As a sequel to 'iNEXT', the 'iNEXT.beta3D' package provides functions to
 compute standardized taxonomic, phylogenetic, and functional diversity (3D)
 estimates with a common sample size (for alpha and gamma diversity) or
 sample coverage (for alpha, beta, gamma diversity as well as dissimilarity
 or turnover indices).  Hill numbers and their generalizations are used to
 quantify 3D and to make multiplicative decomposition (gamma = alpha x beta).
 The package also features size- and coverage-based rarefaction and
 extrapolation sampling curves to facilitate rigorous comparison of beta
 diversity across datasets.  See Chao et al. (2023) <doi:10.1002/ecm.1588>
 for more details.

Package: r-cran-infdim
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-infdim_1.0-1.ca2004.1_all.deb
Size: 32448
MD5sum: 8c988d67094f4181759b9c5ac244bbcd
SHA1: 50c27838c136af93046f26c7726f7bf9e1f86b7b
SHA256: 0e4248a42117f56c431cb032500489f2c54d19c9aa1b5a5a213dabc1c9b8614d
SHA512: b4b92de8ec90f86c04e129b0314ac839aea60afbb69f2603ba8c94d336ad6d4f495538ab9754a0e06fac70f3ccbce0af6e703a65f5a6ad706badb345e1599246
Homepage: https://cran.r-project.org/package=InfDim
Description: CRAN Package 'InfDim' (Infine-dimensional model (IDM) to analyse phenotypic variationin growth trajectories)
 This package contains functions to perform calculations of the
 infine-dimensional model (IDM) and to produce 95% confidence intervals
 around the model elements through bootstrapping.

Package: r-cran-infectiousr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-infectiousr_0.1.0-1.ca2004.1_all.deb
Size: 428080
MD5sum: 522fc8865a6fe010ea4581e08b0ace3a
SHA1: 69a2d22d22034d34516a339fd863b3cba03e089a
SHA256: 74d58eb425022bb347f795a08cff77c0fb32452ce0111b879434bd97999fd9e8
SHA512: d968f84e66245aa94813b20149ce4a5785df870ab51732362727e54082e363be18242cca03e6161cace3b5aa2fe184a87fdef8c7b2db96c026fb4eb82bfde8c2
Homepage: https://cran.r-project.org/package=infectiousR
Description: CRAN Package 'infectiousR' (Access Infectious and Epidemiological Data via 'disease.sh API')
 Provides functions to access real-time infectious disease data from the
 'disease.sh API', including COVID-19 global, US states, continent, and
 country statistics, vaccination coverage, influenza-like illness data from
 Centers for Disease Control and Prevention (CDC), and more. Also includes
 curated datasets on a variety of infectious diseases such as influenza,
 measles, dengue, Ebola, tuberculosis, meningitis, AIDS, and others. The
 package supports epidemiological research and data analysis by combining API
 access with high-quality historical and survey datasets on infectious
 diseases. For more details on the 'disease.sh API', see
 <https://disease.sh/>.

Package: r-cran-infer
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3382
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-covr, r-cran-devtools, r-cran-fs, r-cran-knitr, r-cran-nycflights13, r-cran-parsnip, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-infer_1.0.9-1.ca2004.1_all.deb
Size: 1808760
MD5sum: dd6c31338cea93cae27bcaf9af2be103
SHA1: 43e32ac1b7281ad64f5a513557f73c87083480b7
SHA256: 96141882fdf39d47fa8dbe3cabe4bdb5bc4c522c1b1d7b60c0fed78897422d37
SHA512: a6da69102ebaa59e624455cfc18214c6dac0b50412e784c09305e252fdafe85c75a363f6dd379c6ef89e21592c971381df5ffe7d3e20b87de4f6911a353db757
Homepage: https://cran.r-project.org/package=infer
Description: CRAN Package 'infer' (Tidy Statistical Inference)
 The objective of this package is to perform inference using an expressive
 statistical grammar that coheres with the tidy design framework.

Package: r-cran-inferencesmr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-inferencesmr_1.0.2-1.ca2004.1_all.deb
Size: 487784
MD5sum: 845965a55b01489646b19bcbf52f5ac7
SHA1: 75cd720b37c0933b467e7c661021c1ff05a4075c
SHA256: 93b40e4b8ba8d77dfa224a1ffb7d72227f9d2a4c051bbf6dd184d14e075c3eea
SHA512: 0cab9e2f35b7a88b80cad17fe120e1a6c235676df74b1b6aa332c27c49ece0c3c240f62a14fa080e1c8fdf318ea43a4959855f449875b998944f67bfcf981c14
Homepage: https://cran.r-project.org/package=InferenceSMR
Description: CRAN Package 'InferenceSMR' (Inference About the Standardized Mortality Ratio when Evaluatingthe Effect of a Screening Program on Survival)
 Functions to make inference about the standardized mortality ratio (SMR)
 when evaluating the effect of a screening program. The package is based on
 methods described in Sasieni (2003) <doi: 10.1097/00001648-200301000-00026>
 and Talbot et al. (2011) <doi: 10.1002/sim.4334>.

Package: r-cran-inferference
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-numderiv, r-cran-lme4, r-cran-formula, r-cran-spamm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inferference_1.0.3-1.ca2004.1_all.deb
Size: 265700
MD5sum: e99e45bd48904b0ecbbeba1785057608
SHA1: ff70b9216d118639ee4f1830f2074a682c53aeba
SHA256: 8b31d5cc372d974ce0a03f8dd4bf5abde06c66789d0c33bd5a49294f5662afc1
SHA512: 4eae41052b44c9192fb27dac6d92165b2fc3fcd9b2e30c7ecd5c02b82b15030968fd17ec95799885de18be171a2ab84901096a479369986a57af2261e022e8a9
Homepage: https://cran.r-project.org/package=inferference
Description: CRAN Package 'inferference' (Methods for Causal Inference with Interference)
 Provides methods for estimating causal effects in the presence of
 interference described in B. Saul and M. Hugdens (2017)
 <doi:10.18637/jss.v082.i02>. Currently it implements the inverse-probability
 weighted (IPW) estimators proposed by E.J. Tchetgen Tchetgen and T.J.
 Vanderweele (2012) <doi:10.1177/0962280210386779>.

Package: r-cran-infiltrodiscr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-tibble, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-infiltrodiscr_0.0.5-1.ca2004.1_all.deb
Size: 19444
MD5sum: 220065d3f5c8396292951c4ad42183ae
SHA1: 7ad8cbcc4ee840b5bb6b7d9075e581f5803900bc
SHA256: 8ce3a9d27eec875338c6a4bd0da51e435bb562f61d9f6ac1bd7bd6ebc1480701
SHA512: 686487dc0f0a3b51758e41a6190932de1b3f709e04357822f9bbfb22f86cbce10fc7a39cebefe98987316ce656ef5057e92a8f134e4112a26d4bb985500607da
Homepage: https://cran.r-project.org/package=infiltrodiscR
Description: CRAN Package 'infiltrodiscR' (Minidisc Infiltrometer Data Management)
 A set of functions for the modeling of data derived from the Minidisc
 Infiltrometer device.  It calculates cumulative infiltration and square root
 of time. Also, it calculates the A parameter based on soil physical
 properties.

Package: r-cran-infiniumpurify
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-infiniumpurify_1.3.1-1.ca2004.1_all.deb
Size: 872424
MD5sum: 029bb44fcfd230a61f9cac3d14d84358
SHA1: 89f37ad4d79d9b5a5e4171ad6445a8630e7ca683
SHA256: 6294167e5cef65d6e640360dd106484c7d9c67294c5a8889d8498a6daf2ce912
SHA512: 0be1d285777a3b179653f1a7c0dcb03f05e33725e16f746b9ab3d9f8c4ac80e1f5c9460b44bfa47f28dc9017ecc664a4b2769573ba51582e5898e7fbaf4a7bd2
Homepage: https://cran.r-project.org/package=InfiniumPurify
Description: CRAN Package 'InfiniumPurify' (Estimate and Account for Tumor Purity in Cancer Methylation DataAnalysis)
 The proportion of cancer cells in solid tumor sample, known as the tumor
 purity, has adverse impact on a variety of data analyses if not properly
 accounted for. We develop 'InfiniumPurify', which is a comprehensive R
 package for estimating and accounting for tumor purity based on DNA
 methylation Infinium 450k array data. 'InfiniumPurify' provides
 functionalities for tumor purity estimation. In addition, it can perform
 differential methylation detection and tumor sample clustering with the
 consideration of tumor purities.

Package: r-cran-infix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-infix_0.1.0-1.ca2004.1_all.deb
Size: 25488
MD5sum: 3df5ffe84ed2aa0292c6d995d82b95af
SHA1: 96fa69d4635728bb223798588016727dac5dd674
SHA256: 777c759c9d34d40a20f72e0d6bf47ee7bba96700b1ae62bfcd8077f4aa2abb7b
SHA512: 9f6a43aacf1465fa4725970bd2056079bf0694666c932e7fb940d47b13f0fa3612d07bce883d2552da79ab39afe049ecd06a69a283bef35b8b0cebc0a9e8153d
Homepage: https://cran.r-project.org/package=infix
Description: CRAN Package 'infix' (Basic Infix Binary Operators)
 Contains a number of infix binary operators that may be useful in day to day
 practices.

Package: r-cran-infixit
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-infixit_0.3.1-1.ca2004.1_all.deb
Size: 485468
MD5sum: e4f1fa55c20d66498ce94989c743fd76
SHA1: 744aabce5508a19af628fe8ddb31fbcd9aa6331d
SHA256: e872fe4fd8357ee4ea9598e5004dee99ef83a14d25a1867eb7fa4d255320bd0a
SHA512: 3cd6909643cf889defba87a8dac28ba56e52935e7ec1b1ac1393b65aec1bd86e8621ea8c0748067f27cd3ac4ed0c7aa4315dc9c6d01366686323f799d6e05e48
Homepage: https://cran.r-project.org/package=infixit
Description: CRAN Package 'infixit' (Helpful Additional Infix Functions)
 Infix functions in R are those that comes between its arguments such as
 %in%, +, and *. These are useful in R programming when manipulating data,
 performing logical operations, and making new functions. 'infixit' extends
 the infix functions found in R to simplify frequent tasks, such as finding
 elements that are NOT in a set, in-line text concatenation, augmented
 assignment operations, additional logical and control flow operators, and
 identifying if a number or date lies between two others.

Package: r-cran-inflation
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seasonal
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-inflation_0.1.0-1.ca2004.1_all.deb
Size: 272212
MD5sum: 75ae620a90f0703b3a1208c483eff230
SHA1: 6d6d48e3adecb948f85a17d264c15ec3ed95d294
SHA256: d2c20006d82427fe65bfb6da1c9ffced872204f73ddf94cd6e1c015818259262
SHA512: a5b4567c6d5f87837fd113d9128b484c8aa9efddcfc48c2a0ffe2801916e47b11b770db44690031306b81afa3b95af2f807bccecb16321de5d23bf13e048d0a1
Homepage: https://cran.r-project.org/package=Inflation
Description: CRAN Package 'Inflation' (Core Inflation)
 Provides access to core inflation functions. Four different core inflation
 functions are provided. The well known trimmed means, exclusion and double
 weighing methods, alongside the new Triple Filter method introduced in
 Ferreira et al. (2016) <https://goo.gl/UYLhcj>.

Package: r-cran-inflect
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-writexl, r-cran-optimr, r-cran-data.table, r-cran-plotrix, r-cran-tidyr, r-cran-ggplot2, r-cran-upsetr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inflect_1.1.0-1.ca2004.1_all.deb
Size: 44140
MD5sum: a6b483560e13c804f8c4003c02ad71b7
SHA1: cc69b14c03a9d62d41fdc184df3f4ba83c367f03
SHA256: 745d4870b805fe06f602c1c41df161b1c5a1ff2cb0ac60aa1c3a5c72ee19f8b5
SHA512: 97e0271787877ce21114b8799049988b071ed79316f145c1878383dbb1629b9d94e05babfe16ccc330e382fedee402d29966193aaa6ea43e501af80ad9b43733
Homepage: https://cran.r-project.org/package=Inflect
Description: CRAN Package 'Inflect' (Melt Curve Fitting and Melt Shift Analysis)
 This program analyzes raw abundance data from a cellular thermal shift
 experiment and calculates melt temperatures and melt shifts for each protein
 in the experiment. Reference to software development can be found at
 <doi:10.1021/acs.jproteome.0c00872>.

Package: r-cran-inflection
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inflection_1.3.6-1.ca2004.1_all.deb
Size: 272304
MD5sum: 4d6c30ec76b3c773cc1eea7e3cc2e275
SHA1: 95466437278065b27015cd256ba674f477b0828d
SHA256: fa81723040831ac1f01ba51983bae596118f8c69907687c31afc9d5e20cf44fd
SHA512: 4cfee3fcaf8e51977afb6c733f2bfd3296e97dd30f008a3bc8d29121edca0ff023cc1f1f6aec774233dcdb66c4685b5d959710198494eb93ef077d26092ba29d
Homepage: https://cran.r-project.org/package=inflection
Description: CRAN Package 'inflection' (Finds the Inflection Point of a Curve)
 Implementation of methods Extremum Surface Estimator (ESE) and Extremum
 Distance Estimator (EDE) to identify the inflection point of a curve .
 Christopoulos, DT (2014) <doi:10.48550/arXiv.1206.5478> .  Christopoulos, DT
 (2016) <https://veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf>
 .  Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> .

Package: r-cran-inflectssp
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-readxl, r-cran-data.table, r-cran-plotrix, r-cran-tidyr, r-cran-ggplot2, r-cran-xlsx, r-cran-httr, r-cran-jsonlite, r-cran-ggally, r-cran-network, r-cran-rcolorbrewer, r-cran-svglite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inflectssp_1.6-1.ca2004.1_all.deb
Size: 82188
MD5sum: ee2069946ce70fc2c755d59e8ab04fa6
SHA1: eb33af98cd9d260cdbdc2f7c4c0909488157796d
SHA256: ff1cab742b7f5910a0aef4ee5d4ab43ba06ec6b1dc28e3e369160fbba8994a98
SHA512: 020447ec1fd76e29717c6743028b6b41a8a62b7355fae11fc4114704bee97e0167dbaa27a5e036426323fba507da2747f16db76c03920822a8c2a6bc6ca3e1a7
Homepage: https://cran.r-project.org/package=InflectSSP
Description: CRAN Package 'InflectSSP' (Melt Curve Fitting and Melt Shift Analysis)
 Analyzes raw abundance data from a cellular thermal shift experiment and
 calculates melt temperatures and melt shifts for each protein in the
 experiment.  McCracken (2022) <doi:10.1101/2022.12.30.522131>.

Package: r-cran-influence.me
Architecture: all
Version: 0.9-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-influence.me_0.9-9-1.ca2004.1_all.deb
Size: 82664
MD5sum: fd330a08117b8924220d6c2949db0609
SHA1: 8f72a03e0ab577b24b1267d042e208d10344d674
SHA256: 1407bd12be8ac0e2029b8ab61c4099876ca924bde34fb56ae6e342a736cba31e
SHA512: 3dd3b2df0bf6a74bdc439d833ee73333c009e7ce14a3538091d4c5ff78b0a225cbac628c8f86c64bfa532fd0a5944fcfa625421ba4e092497e3dad5c038b9b81
Homepage: https://cran.r-project.org/package=influence.ME
Description: CRAN Package 'influence.ME' (Tools for Detecting Influential Data in Mixed Effects Models)
 Provides a collection of tools for detecting influential cases in
 generalized mixed effects models. It analyses models that were estimated
 using 'lme4'. The basic rationale behind identifying influential data is
 that when single units are omitted from the data, models based on these data
 should not produce substantially different estimates. To standardize the
 assessment of how influential a (single group of) observation(s) is, several
 measures of influence are common practice, such as Cook's Distance.  In
 addition, we provide a measure of percentage change of the fixed point
 estimates and a simple procedure to detect changing levels of significance.

Package: r-cran-influence.sem
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-influence.sem_2.3-1.ca2004.1_all.deb
Size: 76956
MD5sum: 0c3b766f93aee47f9f347c114e43ece5
SHA1: 6da1f1e6dde17245453b1d34a6e237d4c49b5dfb
SHA256: 8e6854cd54d70b82c2c25b0dfadc2384a6b338e93d7ca1e9cc63123ab54387ed
SHA512: 0948b8b6432cd6f9ff19d590bacc45ab14cecc9b8510fe434fb4c345324721e53b01a3c63a6bf56853358e31f96e57d124830734b2d713c5ac3da28a2e7bdfd8
Homepage: https://cran.r-project.org/package=influence.SEM
Description: CRAN Package 'influence.SEM' (Case Influence in Structural Equation Models)
 A set of tools for evaluating several measures of case influence for
 structural equation models.

Package: r-cran-influenceauc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-geigen, r-cran-ggplot2, r-cran-ggrepel, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-influenceauc_0.1.2-1.ca2004.1_all.deb
Size: 63276
MD5sum: ae27b0db57f1cdbbaffa8ca3416225d0
SHA1: a1babbd602c91b9db55a7bd8ebd5912c8be121ed
SHA256: ad9df4c0c964e50fac47a3ed5abe36b0e85a1f8373ea79e109368196ac3adbd5
SHA512: 6684248f3848688ed3bae2ab6dad05200952668fc37b96f59b0dbdb0f496c72cc89debf2b983698fc64c4d65c6a32560facd72a053b4bdfaee89a29a676faf4b
Homepage: https://cran.r-project.org/package=influenceAUC
Description: CRAN Package 'influenceAUC' (Identify Influential Observations in Binary Classification)
 Ke, B. S., Chiang, A. J., & Chang, Y. C. I. (2018)
 <doi:10.1080/10543406.2017.1377728> provide two theoretical methods
 (influence function and local influence) based on the area under the
 receiver operating characteristic curve (AUC) to quantify the numerical
 impact of each observation to the overall AUC. Alternative graphical tools,
 cumulative lift charts, are proposed to reveal the existences and
 approximate locations of those influential observations through data
 visualization.

Package: r-cran-influential
Architecture: all
Version: 2.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1689
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-janitor, r-cran-ranger, r-cran-coop, r-cran-foreach, r-cran-doparallel, r-cran-data.table, r-cran-ggplot2, r-cran-biocmanager
Suggests: r-cran-hmisc, r-cran-mgcv, r-cran-nortest, r-cran-nns, r-cran-readr, r-cran-shiny, r-cran-shinythemes, r-cran-shinywidgets, r-cran-shinyjs, r-cran-shinycssloaders, r-cran-colourpicker, r-cran-magrittr, r-cran-dt, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-influential_2.2.9-1.ca2004.1_all.deb
Size: 1074540
MD5sum: 93c3922b5031127799987985603f9181
SHA1: 6fec99c1058a977f7faee89ab2c78eee99b31708
SHA256: 0d8ba38bd69691cc8e6d2145ae2be8035a4100ed7461e15dfb17b6231b370898
SHA512: 5666ab19a70342a8264f1547c455c46c8c9c5037db9eec284ae5ef7ec9632e4858508fdb76c9f19edc1fad02b849bdd8ae59ea596b092be12523289a51e90e2d
Homepage: https://cran.r-project.org/package=influential
Description: CRAN Package 'influential' (Identification and Classification of the Most Influential Nodes)
 Contains functions for the classification and ranking of top candidate
 features, reconstruction of networks from adjacency matrices and data
 frames, analysis of the topology of the network and calculation of
 centrality measures, and identification of the most influential nodes. Also,
 a function is provided for running SIRIR model, which is the combination of
 leave-one-out cross validation technique and the conventional SIR model, on
 a network to unsupervisedly rank the true influence of vertices.
 Additionally, some functions have been provided for the assessment of
 dependence and correlation of two network centrality measures as well as the
 conditional probability of deviation from their corresponding means in
 opposite direction.  Fred Viole and David Nawrocki (2013, ISBN:1490523995).
 Csardi G, Nepusz T (2006). "The igraph software package for complex network
 research." InterJournal, Complex Systems, 1695.  Adopted algorithms and
 sources are referenced in function document.

Package: r-cran-influxdbclient
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-bit64, r-cran-nanotime, r-cran-plyr
Suggests: r-cran-testthat, r-cran-httptest
Filename: pool/dists/focal/main/r-cran-influxdbclient_0.1.2-1.ca2004.1_all.deb
Size: 396136
MD5sum: aafd0efada5f6835aa24b018c5de4c5e
SHA1: 0d5be0fc1e16d711bde4cede17a6be4641f8b681
SHA256: 5d913fa93d6a0ec73a3bee7d069a7ee34f858e68b7de9d112062465d839ccc5e
SHA512: 769f9665a4feabc5e1dc8fb1e5977ff3a67db1aaef54ccc1b6a3dc71625400fe9b8eaa9908df76c4b96630b737806a2101ae5eecdced59c8447d68779bc68b97
Homepage: https://cran.r-project.org/package=influxdbclient
Description: CRAN Package 'influxdbclient' ('InfluxDB' 2.x Client)
 'InfluxDB' 2.x time-series database client. Supports both 'InfluxDB' OSS
 (<https://portal.influxdata.com/downloads/>) and Cloud
 (<https://cloud2.influxdata.com/>) version.

Package: r-cran-influxdbr
Architecture: all
Version: 0.14.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-xts, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-influxdbr_0.14.2-1.ca2004.1_all.deb
Size: 95172
MD5sum: 971adbde3cab9c0c421613b7794ca886
SHA1: d1c2d1b2c5f02aad8e9380f08cc55a97ee243178
SHA256: 2e4879190b14eadd449de985ce8521249c4b0b390ebaa96c05556c241e2fa0e5
SHA512: 8b78ebd4769a4f1b306bfbbc5c3255ebe7bc3daeea39fc17207e4fe604e3b49d3000a5568374b9252598a0fe2a636193d2f526cde8a9bfd81924ba523710d2a9
Homepage: https://cran.r-project.org/package=influxdbr
Description: CRAN Package 'influxdbr' (R Interface to InfluxDB)
 An R interface to the InfluxDB time series database
 <https://www.influxdata.com>. This package allows you to fetch and write
 time series data from/to an InfluxDB server. Additionally, handy wrappers
 for the Influx Query Language (IQL) to manage and explore a remote database
 are provided.

Package: r-cran-infodecompute
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-infodecompute_0.6.2-1.ca2004.1_all.deb
Size: 176012
MD5sum: 579d18f53d6be6a47aee4908f2496bc1
SHA1: 4a466267e6dd4506e0823f0a3f1c623d873e823a
SHA256: f4aa7cdb7931487084b7d4f80488ca575a06ad090e5945dae020fea535b41091
SHA512: 4177151bc1f9edaa4e19eea5a7e58430d012972fcad3f21a9b84327a80a3da963142e0322102881f655566e39fe47cfee9759990135460e2dfc5b60324d1a078
Homepage: https://cran.r-project.org/package=infoDecompuTE
Description: CRAN Package 'infoDecompuTE' (Information Decomposition of Two-Phase Experiments)
 The main purpose of this package is to generate the structure of the
 analysis of variance (ANOVA) table of the two-phase experiments. The user
 only need to input the design and the relationships of the random and fixed
 factors using the Wilkinson-Rogers' syntax, this package can then quickly
 generate the structure of the ANOVA table with the coefficients of the
 variance components for the expected mean squares.  Thus, the balanced
 incomplete block design and provides the efficiency factors of the fixed
 effects can also be studied and compared much easily.

Package: r-cran-infoelectoral
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2372
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-httr
Suggests: r-cran-ggplot2, r-cran-mapspain, r-cran-patchwork, r-cran-purrr, r-cran-tidyr, r-cran-preferably, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-infoelectoral_1.0.2-1.ca2004.1_all.deb
Size: 1112184
MD5sum: cfa77b82144835067e8bc088a4cd201c
SHA1: acebb911e990ff2c514a9271a640ace7f8bd819d
SHA256: ca94a71692fc49ddac496f674dccde983383e087e846e1af6fbe525165174a1a
SHA512: 02cf2c6674e1744f8a86cd7b929f5d17c6045cf45014a4a4450980798ef34a4bb0c2aab143257fde54efce2f904edcc17a18e4ffa5a9a1ec16d59f75ddfd79e5
Homepage: https://cran.r-project.org/package=infoelectoral
Description: CRAN Package 'infoelectoral' (Download Spanish Election Results)
 Download official election results for Spain at polling station,
 municipality and province level from the Ministry of Interior
 (<https://infoelectoral.interior.gob.es/es/elecciones-celebradas/area-de-descargas/>),
 format them and import them to the R environment.

Package: r-cran-information
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1269
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-plyr, r-cran-iterators, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-reshape2, r-cran-clustofvar, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-information_0.0.9-1.ca2004.1_all.deb
Size: 1116204
MD5sum: 649ce4a594d8f5834e959500ff408309
SHA1: eb2bbae80c58d26301eda65f88a46f5d3adee167
SHA256: e5c7910ad9ce12fa564c19d51c59532ef5d528c14736a383a447233b5e459241
SHA512: 7cdb3f9a2210482be7c21be990db162effebff9c9955b98941a3533d4e94a61483b8ee17896b3a61dc7b23ab9d0dd5179a6f26c815ade80bf141ea93c12a8273
Homepage: https://cran.r-project.org/package=Information
Description: CRAN Package 'Information' (Data Exploration with Information Theory (Weight-of-Evidence andInformation Value))
 Performs exploratory data analysis and variable screening for binary
 classification models using weight-of-evidence (WOE) and information value
 (IV). In order to make the package as efficient as possible, aggregations
 are done in data.table and creation of WOE vectors can be distributed across
 multiple cores. The package also supports exploration for uplift models
 (NWOE and NIV).

Package: r-cran-informationvalue
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-data.table
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-informationvalue_1.2.3-1.ca2004.1_all.deb
Size: 203408
MD5sum: f4071f0edb05e7412a7b41425858ad66
SHA1: b3cb8bddaad9a6205fb55eace70b5406a2ac6bfc
SHA256: 49e70c4a289e4e388afe8f6598843f6f4067aef615da180e2860cb2bf5336a45
SHA512: 365e4e2f73e82739ba8e483f2231c73f876b15152bf99b8fd643f57ee25e48ac9f40f5cbb57d2b56e06daf8cd50daef05ec7397f153a23db5ce556a5682976e2
Homepage: https://cran.r-project.org/package=InformationValue
Description: CRAN Package 'InformationValue' (Performance Analysis and Companion Functions for BinaryClassification Models)
 Provides companion function for analysing the performance of classification
 models. Also, provides function to optimise probability cut- off score based
 on used specified objectives, Plot 'ROC' Curve in 'ggplot2', 'AUROC', 'IV',
 'WOE' Calculation, 'KS Statistic' etc to aid accuracy improvement in binary
 classification models.

Package: r-cran-informativecensoring
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1010
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-boot, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-informativecensoring_0.3.6-1.ca2004.1_all.deb
Size: 862804
MD5sum: fa77a5d0ec40dee8f30f754cd789dd27
SHA1: aee758ce3ba5cb5992cc446d81db212990723ba9
SHA256: bcae372c177cc35777d863ea7df551c8c82b93bfca7333f623dca79270fddec0
SHA512: be7649f4878908445d7de234f34fa5b430eba91486456a5d2f752cd3a88145d10389049923ca820ee1cfeaeeef12669093fd74b328db845c66e0653c1da11134
Homepage: https://cran.r-project.org/package=InformativeCensoring
Description: CRAN Package 'InformativeCensoring' (Multiple Imputation for Informative Censoring)
 Multiple Imputation for Informative Censoring.  This package implements two
 methods. Gamma Imputation described in <DOI:10.1002/sim.6274> and Risk Score
 Imputation described in <DOI:10.1002/sim.3480>.

Package: r-cran-informativesci
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gmcp, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-informativesci_1.0.4-1.ca2004.1_all.deb
Size: 107956
MD5sum: 64c4b75a1ec1da1ef1960a5d003dad3d
SHA1: 5b3e289877c7188c8cddd030cf35bdfb8d531857
SHA256: 502489c76dbaf5a3a1e355043e0f87de2dc5c12cf9d627b12c6e0568e3a83ae5
SHA512: d7f9543ac91c870b841999c43db41f6e9c4a43c3bafa8d87ba951d2c5fdfbb2e6cef0ec00be7ff8ff03791119deba1eeae093f1629b762a55732e1c232eedd3e
Homepage: https://cran.r-project.org/package=informativeSCI
Description: CRAN Package 'informativeSCI' (Informative Simultaneous Confidence Intervals)
 Calculation of informative simultaneous confidence intervals for graphical
 described multiple test procedures and given information weights. Bretz et
 al. (2009) <doi:10.1002/sim.3495> and Brannath et al. (2024)
 <doi:10.48550/arXiv.2402.13719>. Furthermore, exploration of the behavior of
 the informative bounds in dependence of the information weights.
 Comparisons with compatible bounds are possible.  Strassburger and Bretz
 (2008) <doi:10.1002/sim.3338>.

Package: r-cran-informedsen
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sensitivitymult
Filename: pool/dists/focal/main/r-cran-informedsen_1.0.7-1.ca2004.1_all.deb
Size: 46272
MD5sum: 1c669dba6b55ba9b88c2c40979ee3fde
SHA1: 34ec21f11926346f7b1a3265f28d31adebd53e72
SHA256: e6be25cedf0dde0e0e34c05cecc3e8ceb972d35205fce60b6a2bd96e378ce084
SHA512: e83d598bc82d4cd2bcad7dad7a406d42424f4341006f9d30c9f75d95404c661334c828aa3bfac2215ee83bc13a08af61a977def19888796d00cc09d93f40f001
Homepage: https://cran.r-project.org/package=informedSen
Description: CRAN Package 'informedSen' (Sensitivity Analysis Informed by a Test for Bias)
 After testing for biased treatment assignment in an observational study
 using an unaffected outcome, the sensitivity analysis is constrained to be
 compatible with that test.  The package uses the optimization software
 gurobi obtainable from <https://www.gurobi.com/>, together with its
 associated R package, also called gurobi; see:
 <https://www.gurobi.com/documentation/7.0/refman/installing_the_r_package.html>.
 The method is a substantial computational and practical enhancement of a
 concept introduced in Rosenbaum (1992) Detecting bias with confidence in
 observational studies Biometrika, 79(2), 367-374
 <doi:10.1093/biomet/79.2.367>.

Package: r-cran-informr
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-relevent
Filename: pool/dists/focal/main/r-cran-informr_1.0-5-1.ca2004.1_all.deb
Size: 435288
MD5sum: eea5bfa006038f7073ea200b418d4a29
SHA1: 1a62adbcdd9426933a00744bb2437393b1436a25
SHA256: cccfd4fbe9c690de95bf430c9cba3c3f493c22c2a6ca43529f7a4927e243d983
SHA512: 356097ec511ced9004896eb06a8ccd372d1ab8d258d2d85a7c288c907a27e0f2087ab7d77897515871d098cccdeb0e5650fc797a058e7789863eb1791a7d5cba
Homepage: https://cran.r-project.org/package=informR
Description: CRAN Package 'informR' (Sequence Statistics for Relational Event Models)
 Aids in creating sequence statistics for Butts's 'relevent' software.

Package: r-cran-infoset
Architecture: all
Version: 4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-colorspace, r-cran-dendextend, r-cran-quadprog, r-cran-mixtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-infoset_4.1-1.ca2004.1_all.deb
Size: 1075520
MD5sum: 30f613db98428bb80b642d8dcfa23d50
SHA1: c6b1d1a27973a15fb809c54a635de88bdd95a3c3
SHA256: f544beda2f1f23f9c2daa82e9c41a6c4304ebad07b5957bb655bc366db1eec86
SHA512: 63951251c42ac281757c4d3aaee406068e231f54b28bbb8af206def843217fe86f0812c56bb61c8d1f7706ead58df2d64ba602ace122fed9aa441892531ec1bc
Homepage: https://cran.r-project.org/package=INFOSET
Description: CRAN Package 'INFOSET' (Computing a New Informative Distribution Set of Asset Returns)
 Estimation of the most-left informative set of gross returns (i.e., the
 informative set).  The procedure to compute the informative set adjusts the
 method proposed by Mariani et al. (2022a) <doi:10.1007/s11205-020-02440-6>
 and Mariani et al. (2022b) <doi:10.1007/s10287-022-00422-2> to gross returns
 of financial assets.  This is accomplished through an adaptive algorithm
 that identifies sub-groups of gross returns in each iteration by
 approximating their distribution with a sequence of two-component log-normal
 mixtures.  These sub-groups emerge when a significant change in the
 distribution occurs below the median of the financial returns, with their
 boundary termed as the “change point" of the mixture.  The process concludes
 when no further change points are detected.  The outcome encompasses
 parameters of the leftmost mixture distributions and change points of the
 analyzed financial time series.  The functionalities of the INFOSET package
 include: (i) modelling asset distribution detecting the parameters which
 describe left tail behaviour (infoset function), (ii) clustering, (iii)
 labeling of the financial series for predictive and classification purposes
 through a Left Risk measure based on the first change point (LR_cp function)
 (iv) portfolio construction (ptf_construction function).  The package also
 provide a specific function to construct rolling windows of different length
 size and overlapping time.

Package: r-cran-infotrad
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-infotrad_1.2-1.ca2004.1_all.deb
Size: 49960
MD5sum: c842de784dba7389283021b20363b167
SHA1: eddcb12f8663dd7940be0720e4a07dd974e39f49
SHA256: 4c5bb020648b19bb118ef331537f8effae4af8ee2033cf81c66b5d899330aa62
SHA512: 3f03e335a12567c0fa98dac6585280925c2e44e17899851a09cff62598e7397832a298016351457971d5c888bbb76d5499e5aec9028bca2b0c45716dfb9bf852
Homepage: https://cran.r-project.org/package=InfoTrad
Description: CRAN Package 'InfoTrad' (Calculates the Probability of Informed Trading (PIN))
 Estimates the probability of informed trading (PIN) initially introduced by
 Easley et. al. (1996) <doi:10.1111/j.1540-6261.1996.tb04074.x> .
 Contribution of the package is that it uses likelihood factorizations of
 Easley et. al. (2010) <doi:10.1017/S0022109010000074> (EHO factorization)
 and Lin and Ke (2011) <doi:10.1016/j.finmar.2011.03.001> (LK factorization).
 Moreover, the package uses different estimation algorithms. Specifically,
 the grid-search algorithm proposed by Yan and Zhang (2012)
 <doi:10.1016/j.jbankfin.2011.08.003> , hierarchical agglomerative clustering
 approach proposed by Gan et. al. (2015) <doi:10.1080/14697688.2015.1023336>
 and later extended by Ersan and Alici (2016)
 <doi:10.1016/j.intfin.2016.04.001> .

Package: r-cran-infra
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-infra_0.1.2-1.ca2004.1_all.deb
Size: 16636
MD5sum: 8972e4311d1bcc2aedcb5a07511f941f
SHA1: d5555bd5fff9d15df03d1d43a05e9eb044562561
SHA256: 9a9fe45299082f8e56ce0283d0f5910834db5872df8afd50ff8be3895e22eeeb
SHA512: 3c0a505f30866f57bcf0878f77b80795951c77b8d3ea1f2892c3414c5260e8277129942df7f34cf078e0dc9250d3800d9ad0eefa44e30271d464ba83751be966
Homepage: https://cran.r-project.org/package=infra
Description: CRAN Package 'infra' (An Infrastructure Proxy Function)
 Takes a data frame containing latitude and longitude coordinates and
 downloads images from map servers to determine their file size as a proxy of
 infrastructure

Package: r-cran-infrafdtd.assist
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields
Suggests: r-cran-rnomads
Filename: pool/dists/focal/main/r-cran-infrafdtd.assist_0.6-1.ca2004.1_all.deb
Size: 46864
MD5sum: ba6d08e8b6adfcc2db77add5e180bf7d
SHA1: 5d3ada03bace6dd0e9c19fba91cfae50b3acce11
SHA256: ef6eeb62e58c36f7c0323ff6f1570bce91f59b638a7b17d6ee792d5a407fbb1b
SHA512: 8c9b88b67ebc423ef30183deb55b5ac423d14f65a23af9c028300258c96864b40e7bf17588cbcde7a51e7be12170a12ffb4d5f9aa2ad6f3d684b8026a0a4d2fc
Homepage: https://cran.r-project.org/package=infraFDTD.assist
Description: CRAN Package 'infraFDTD.assist' (IO Help for infraFDTD Model)
 Facilitates the generation of input files for infraFDTD and processes
 snapshot output. infraFDTD is a finite-difference model written by Keehoon
 Kim for simulating infrasound that considers topography and a 1-D atmosphere
 (see Kim et al., 2015 <doi:10.1002/2015GL064466>).

Package: r-cran-infusion
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 965
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spamm, r-cran-proxy, r-cran-blackbox, r-cran-mvtnorm, r-cran-numderiv, r-cran-pbapply, r-cran-ranger, r-cran-foreach, r-cran-matrixstats, r-cran-boot, r-cran-nloptr, r-cran-geometry, r-cran-cli, r-cran-viridislite
Suggests: r-cran-testthat, r-cran-rmixmod, r-cran-caret, r-cran-xllim, r-cran-reticulate, r-cran-mafr
Filename: pool/dists/focal/main/r-cran-infusion_2.2.0-1.ca2004.1_all.deb
Size: 913044
MD5sum: 3b224e9892672319aaab4b44d2d7b3c5
SHA1: 5aac759176f24d838da83d80eac833dbc10cc8f3
SHA256: c96b0a5d859c36470619a7d2cf60e3c25d1a46f8a313737c274b3ec7f8f06fb7
SHA512: db2549a05868570751b217e08724641d28789af2aaf389dcf3a836a930a1caf4a86f2fc7c52780970c1c9591f960dbd82f0632f48d1d10651aa85f531fede0b4
Homepage: https://cran.r-project.org/package=Infusion
Description: CRAN Package 'Infusion' (Inference Using Simulation)
 Implements functions for simulation-based inference. In particular,
 implements functions to perform likelihood inference from data summaries
 whose distributions are simulated. The package implements more advanced
 methods than the ones first described in: Rousset, Gouy, Almoyna and
 Courtiol (2017) <doi:10.1111/1755-0998.12627>.

Package: r-cran-infutil
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltm
Filename: pool/dists/focal/main/r-cran-infutil_1.0-1.ca2004.1_all.deb
Size: 67992
MD5sum: 69f04be07761fc8508eaf79974725c65
SHA1: f3bf95b1c44ec15d954889f4e882a51c0d47c65e
SHA256: ed12add46af7c5adad8312adaea5c649e30c88d8f8f69c0bf78bbac481365530
SHA512: 8acdc091c6f9bc54dd6a298e20e235a4a051976e313df2e3fa3885a16ea40db6a53ed1445cd1981f8728e0d8cd6100df60b6bdbd9dbf08dcc33ac44863a7b3d7
Homepage: https://cran.r-project.org/package=infutil
Description: CRAN Package 'infutil' (Information Utility)
 Calculation of information utility (i.e., Lindley information) quantities
 for item response models.

Package: r-cran-ingredients
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4305
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-gridextra
Suggests: r-cran-dalex, r-cran-gower, r-cran-ranger, r-cran-testthat, r-cran-r2d3, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ingredients_2.3.0-1.ca2004.1_all.deb
Size: 2346572
MD5sum: b0caf92c53abf4699a483ab15979f208
SHA1: 3b63c5988a6b62e361d3498b54bfce6bd0548667
SHA256: e8def9a4b7baf837fe0baa1855dcc8958b1731da95ba645b4276552a99d077fe
SHA512: 4e1d3b8a5d2e1d76f2e3bba4bf0d7e098d2eb2aee748d953e9dd69aadbe52ee5b83be239f63f52bd42ebbcb6611e6cf5b809968afae918c60bae6bdc1e191cd9
Homepage: https://cran.r-project.org/package=ingredients
Description: CRAN Package 'ingredients' (Effects and Importances of Model Ingredients)
 Collection of tools for assessment of feature importance and feature
 effects.  Key functions are: feature_importance() for assessment of global
 level feature importance, ceteris_paribus() for calculation of the what-if
 plots, partial_dependence() for partial dependence plots,
 conditional_dependence() for conditional dependence plots,
 accumulated_dependence() for accumulated local effects plots,
 aggregate_profiles() and cluster_profiles() for aggregation of ceteris
 paribus profiles, generic print() and plot() for better usability of
 selected explainers, generic plotD3() for interactive, D3 based
 explanations, and generic describe() for explanations in natural language.
 The package 'ingredients' is a part of the 'DrWhy.AI' universe (Biecek 2018)
 <arXiv:1806.08915>.

Package: r-cran-ini
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ini_0.3.1-1.ca2004.1_all.deb
Size: 14640
MD5sum: 60b2669627a85e671f7aee91164bd898
SHA1: 4da8159c1069a7d7b40a66ac7b3b0ba096f6c22e
SHA256: 0119ff3a02b75cc22a9283da197279b68e9f28b3283a5515abcf45e2d00d2ce9
SHA512: e7651417c4be0791a279ecd60743751355c1d69d4a36f58502e1fedf9f3561870aaac820ba78e77cc4fef6264e8b081e7d1412480148d51e654cea89fb20980b
Homepage: https://cran.r-project.org/package=ini
Description: CRAN Package 'ini' (Read and Write '.ini' Files)
 Parse simple '.ini' configuration files to an structured list. Users can
 manipulate this resulting list with lapply() functions. This same structured
 list can be used to write back to file after modifications.

Package: r-cran-injector
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-injector_0.2.4-1.ca2004.1_all.deb
Size: 27680
MD5sum: dee7a242e214f13296f1739da484fa41
SHA1: f3933022bd683bbdb377385fec53c7322659deb0
SHA256: 00965f338be57fdbd34c8c298111b2ed3e30aa5efd61bb39d9a6b74d6077a5f8
SHA512: da574c27dea0e2b84127bc35968ac353f2f30fd5a85fc2136968f6a30b513c53f2f8dfcde5e945cd4b944520f89eb7a97cdc29c6436d952081dec91bfe03e64c
Homepage: https://cran.r-project.org/package=injectoR
Description: CRAN Package 'injectoR' (R Dependency Injection)
 R dependency injection framework. Dependency injection allows a program
 design to follow the dependency inversion principle. The user delegates to
 external code (the injector) the responsibility of providing its
 dependencies. This separates the responsibilities of use and construction.

Package: r-cran-injuryseverityscore
Architecture: all
Version: 0.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-injuryseverityscore_0.0.0.2-1.ca2004.1_all.deb
Size: 37344
MD5sum: 573de90e373e96d451d23e4064a140d5
SHA1: f3a992ce66f6274a3c57cedc0687746068bd8063
SHA256: 9fb0560f493af5807389434f39882a060b9ac0e64c5a9e4acef9861cd6ae3405
SHA512: bbf192596d08e717d2f3d3850a21f8f5968d0212b65a30f5c74c563c14038ae2a7129078ceae9b45ffbdf2b44052629ecf30c8361c84611fbebd7290598b9e32
Homepage: https://cran.r-project.org/package=InjurySeverityScore
Description: CRAN Package 'InjurySeverityScore' (Translate ICD-9 into Injury Severity Score)
 Calculate the injury severity score (ISS) based on the dictionary in
 'ICDPIC' from <https://ideas.repec.org/c/boc/bocode/s457028.html>. The
 original code was written in 'STATA 11'. The original 'STATA' code was
 written by David Clark, Turner Osler and David Hahn. I implement the same
 logic for easier access.  Ref: David E. Clark & Turner M. Osler & David R.
 Hahn, 2009.  "ICDPIC: Stata module to provide methods for translating
 International Classification of Diseases (Ninth Revision) diagnosis codes
 into standard injury categories and/or scores," Statistical Software
 Components S457028, Boston College Department of Economics, revised 29 Oct
 2010.

Package: r-cran-injurytools
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2555
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-lubridate, r-cran-metr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-covr, r-cran-gridextra, r-cran-kableextra, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-spelling, r-cran-survival, r-cran-survminer, r-cran-coxme, r-cran-pscl, r-cran-lme4, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-injurytools_1.0.3-1.ca2004.1_all.deb
Size: 1500576
MD5sum: 1f1f1e938eda2eb2e2b5594059b5cd17
SHA1: 4488134bf72d673a2159f87433463689bad71800
SHA256: adf070c28b50702d46885ce11f86235f321180bda85bcd926542e426bb5d503d
SHA512: 03d7892dc3695fc778dbe12c0a37ac566efadfe7558dfc95acb08085ea251746fcddb91bbc924ca79c8fb71a2b16ad2a73636220e3e39fb6d6071918c0c22e53
Homepage: https://cran.r-project.org/package=injurytools
Description: CRAN Package 'injurytools' (A Toolkit for Sports Injury Data Analysis)
 Sports Injury Data analysis aims to identify and describe the magnitude of
 the injury problem, and to gain more insights (e.g. determine potential risk
 factors) by statistical modelling approaches. The 'injurytools' package
 provides standardized routines and utilities that simplify such analyses. It
 offers functions for data preparation, informative visualizations and
 descriptive and model-based analyses.

Package: r-cran-inlabma
Architecture: all
Version: 0.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-matrix, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-inlabma_0.1-12-1.ca2004.1_all.deb
Size: 84668
MD5sum: 22769af2ed16397ff2b3af11cd7e7ce8
SHA1: 9d3a89c21797a565d608f48ec29b2fe658506639
SHA256: 5770f58a2d7aae2b015590b053bd25406f2d398e9fdd26f0569b237137a79b37
SHA512: cbd70daba7ccea84de6ad1286728c71f0323c2d68c9de234f133304e920e1ffd7a1be835160faa7d6ef263c38193d05179b32c0f4a49c73ae411a59e276c8daf
Homepage: https://cran.r-project.org/package=INLABMA
Description: CRAN Package 'INLABMA' (Bayesian Model Averaging with INLA)
 Fit Spatial Econometrics models using Bayesian model averaging on models
 fitted with INLA. The INLA package can be obtained from
 <https://www.r-inla.org>.

Package: r-cran-inlabru
Architecture: all
Version: 2.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3593
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmesher, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-matrixmodels, r-cran-matrix, r-cran-plyr, r-cran-rlang, r-cran-sf, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-maps, r-cran-mgcv, r-cran-patchwork, r-cran-raster, r-cran-rcolorbrewer, r-cran-rgl, r-cran-rmarkdown, r-cran-scales, r-cran-shiny, r-cran-sn, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat.data, r-cran-sphereplot, r-cran-splancs, r-cran-terra, r-cran-tidyterra, r-cran-testthat, r-cran-tidyr, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-inlabru_2.12.0-1.ca2004.1_all.deb
Size: 3028200
MD5sum: 2d2f3435f204b2388d946468bb5aa2f7
SHA1: 290ed7e3b6cece9e0fd3ff9a7c0f95991f8ff0e3
SHA256: 2cfe4fe8ac3a6ae30971df8c95eaed79d90aa0ee3b45ef683fc9729fd91098e2
SHA512: 1768d121a7eb2f0a50eca6a81bc92edf9d5d019ea155cb239d3713ae66b4ae50b35233eac9fa3b1da5b33b8c38b392641bdcf368a21a0c5bc81e070c197f1d98
Homepage: https://cran.r-project.org/package=inlabru
Description: CRAN Package 'inlabru' (Bayesian Latent Gaussian Modelling using INLA and Extensions)
 Facilitates spatial and general latent Gaussian modeling using integrated
 nested Laplace approximation via the INLA package
 (<https://www.r-inla.org>).  Additionally, extends the GAM-like model class
 to more general nonlinear predictor expressions, and implements a log
 Gaussian Cox process likelihood for modeling univariate and spatial point
 processes based on ecological survey data.  Model components are specified
 with general inputs and mapping methods to the latent variables, and the
 predictors are specified via general R expressions, with separate
 expressions for each observation likelihood model in multi-likelihood
 models. A prediction method based on fast Monte Carlo sampling allows
 posterior prediction of general expressions of the latent variables.
 Ecology-focused introduction in Bachl, Lindgren, Borchers, and Illian (2019)
 <doi:10.1111/2041-210X.13168>.

Package: r-cran-inlajoint
Architecture: all
Version: 24.3.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 897
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv, r-cran-lme4, r-cran-ggplot2, r-cran-matrix, r-cran-nlme, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-survival, r-cran-jmbayes2, r-cran-rstanarm, r-cran-frailtypack, r-cran-smcure
Filename: pool/dists/focal/main/r-cran-inlajoint_24.3.25-1.ca2004.1_all.deb
Size: 841188
MD5sum: faba9d7579d7d5e3e7ce0bd134ac0ef3
SHA1: 63b510dd3dda589168aee89fc456ec10da942a83
SHA256: b7527151a20362e504b9b4153d8e8d67dbca904a3211908917efa149395fa08c
SHA512: bb5db8fb7d9af1783cc2b2c14a05602784d081feb35b9b0d4ffdc6f5a3bd93a096abc6606fd895b2ecdb65c74661bc77e82e0c5c9b5b0080c3d060d0404a0c9b
Homepage: https://cran.r-project.org/package=INLAjoint
Description: CRAN Package 'INLAjoint' (Multivariate Joint Modeling for Longitudinal and Time-to-EventOutcomes with 'INLA')
 Estimation of joint models for multivariate longitudinal markers (with
 various distributions available) and survival outcomes (possibly accounting
 for competing risks) with Integrated Nested Laplace Approximations (INLA).
 The flexible and user friendly function joint() facilitates the use of the
 fast and reliable inference technique implemented in the 'INLA' package for
 joint modeling. More details are given in the help page of the joint()
 function (accessible via ?joint in the R console) and the vignette
 associated to the joint() function (accessible via vignette("INLAjoint") in
 the R console).

Package: r-cran-inlamemi
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1658
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-testthat, r-cran-tibble, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-inlamemi_1.1.0-1.ca2004.1_all.deb
Size: 918596
MD5sum: 9dd0bf87e4ad0bb8f62fd3cedcede46a
SHA1: be944c470d19cc2d7bc0abf717c6a1cec0a1ad72
SHA256: 481861712cfad0aad7f9fca37cf3aad266d3619e055eb22163d58901a3cfca7f
SHA512: 1bcd2f194730b1e164aa3b1f9eb0f25c54aee22f35ba7bf9694027844d72dbe9e90c2902b8c42c8e6da1e169c4c8990cd5e882fb592104701ed95e0c70a3f4a7
Homepage: https://cran.r-project.org/package=inlamemi
Description: CRAN Package 'inlamemi' (Missing Data and Measurement Error Modelling in INLA)
 Facilitates fitting measurement error and missing data imputation models
 using integrated nested Laplace approximations, according to the method
 described in Skarstein, Martino and Muff (2023)
 <doi:10.1002/bimj.202300078>. See Skarstein and Muff (2024)
 <doi:10.48550/arXiv.2406.08172> for details on using the package.

Package: r-cran-inlcolor
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1969
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-rlang, r-cran-scales
Suggests: r-cran-connectapi, r-cran-covr, r-cran-dichromat, r-cran-httr, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-rcmdcheck, r-cran-renv, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rsconnect, r-cran-tinytest, r-cran-tinytex, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-inlcolor_1.0.6-1.ca2004.1_all.deb
Size: 326000
MD5sum: 47d48946611ee75a0aaadc9567cdae9a
SHA1: b19a205027cad2245b594b1cfe5eda54b40be797
SHA256: 50ded78711646e88efebdbb60b06be7064d1d073fa584b86fad6df16e8817d70
SHA512: fe2d81fec617c3686a3aed4497fc09f99155cdd72e8b59982fa7e122dfb8dcde04a8d55cdcc410c4fc7683ea8eafed2f66e8970b09b6a02acec3d04c68d2c5e5
Homepage: https://cran.r-project.org/package=inlcolor
Description: CRAN Package 'inlcolor' (Color Schemes for the USGS Idaho National Laboratory ProjectOffice)
 A collection of functions for creating color schemes.  Used to support
 packages and scripts written by researchers at the United States Geological
 Survey (USGS) Idaho National Laboratory Project Office.

Package: r-cran-inldata
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5621
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-sf, r-cran-stringi, r-cran-terra
Suggests: r-cran-archive, r-cran-arrow, r-cran-connectapi, r-cran-covr, r-cran-curl, r-cran-dataretrieval, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dm, r-cran-fontawesome, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httr, r-cran-inlcolor, r-cran-jsonlite, r-cran-knitr, r-cran-pkgload, r-cran-pkgbuild, r-cran-pkgdown, r-cran-plotrix, r-cran-rappdirs, r-cran-rcmdcheck, r-cran-reactable, r-cran-renv, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rsconnect, r-cran-tinytest, r-cran-v8, r-cran-webmap, r-cran-writexl, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-inldata_1.2.7-1.ca2004.1_all.deb
Size: 5622988
MD5sum: 838edafd0acf12190118bfcf8755ada9
SHA1: 2a2e4963b05428463a7382a9b3e45729ffa14fdd
SHA256: 6fb15861b8ca7aa21911deb58333b45d88bf94f3a08f317e337eee3dc77d2ba1
SHA512: a1dadb63b4ac6ef25251df68f483343934132baf942d4d7bc05e0cbab021645d204868bd7432bb2ed524810a4fcc153cec59dc20287440f88156cdc1c8adbfc5
Homepage: https://cran.r-project.org/package=inldata
Description: CRAN Package 'inldata' (Collection of Datasets for the USGS-INL Monitoring Networks)
 A collection of analysis-ready datasets for the U.S. Geological Survey -
 Idaho National Laboratory (USGS-INL) groundwater and surface-water
 monitoring networks, administered by the USGS-INL Project Office in
 cooperation with the U.S. Department of Energy.  The data collected from
 wells and surface-water stations at the Idaho National Laboratory and
 surrounding areas have been used to describe the effects of waste disposal
 on water contained in the eastern Snake River Plain aquifer, located in the
 southeastern part of Idaho, and the availability of water for long-term
 consumptive and industrial use. The package includes long-term monitoring
 records dating back to measurements from 1922. Geospatial data describing
 the areas from which samples were collected or observations were made are
 also included in the package. Bundling this data into a single package
 significantly reduces the magnitude of data processing for researchers and
 provides a way to distribute the data along with its documentation in a
 standard format.  Geospatial datasets are made available in a common
 projection and datum, and geohydrologic data have been structured to
 facilitate analysis.

Package: r-cran-inline
Architecture: all
Version: 0.3.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rcpp, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-inline_0.3.21-1.ca2004.1_all.deb
Size: 129120
MD5sum: d399576c5ce06947b936455c543ee05c
SHA1: 98ced53bb72172c642b52988251d33541f1a5235
SHA256: b6063c3a80f73405ffb8c6f3aa2cf68d193d0ba18a4de78be4341d06ddea0bac
SHA512: cd3228801a12feb618c286ec7d201aa07fe505f75def40de01d1e2dc4d2716912fa7e75831878fec8d3f13b54c1a99e0dc42a7271fb0201daf79eab3526df748
Homepage: https://cran.r-project.org/package=inline
Description: CRAN Package 'inline' (Functions to Inline C, C++, Fortran Function Calls from R)
 Functionality to dynamically define R functions and S4 methods with
 'inlined' C, C++ or Fortran code supporting the .C and .Call calling
 conventions.

Package: r-cran-inlinedocs
Architecture: all
Version: 2023.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-future.apply, r-cran-future, r-cran-r.methodss3
Filename: pool/dists/focal/main/r-cran-inlinedocs_2023.9.4-1.ca2004.1_all.deb
Size: 239352
MD5sum: cd1fb35379634cadb4465902714b7262
SHA1: 02ddeeaa8fcb7cbca79b8ce05f86bd570c43789d
SHA256: a465eb7267531df293a82e20df660fedb01f4bc06a0cdd3ea6d210bf28cf8bae
SHA512: c590a61cee496d7b4208117cf6e16135994f0681e897ca9b427f38c5e1ad9e409d144ac93d83110bb6844b4af78c714c3d4a0d04ad07d2c746c1848c76fbd5d4
Homepage: https://cran.r-project.org/package=inlinedocs
Description: CRAN Package 'inlinedocs' (Convert Inline Comments to Documentation)
 Generates Rd files from R source code with comments.  The main features of
 the default syntax are that (1) docs are defined in comments near the
 relevant code, (2) function argument names are not repeated in comments, and
 (3) examples are defined in R code, not comments.  It is also easy to define
 a new syntax.

Package: r-cran-inlpubs
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1668
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-tm
Suggests: r-cran-chromote, r-cran-connectapi, r-cran-covr, r-cran-cyclocomp, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-lintr, r-cran-magick, r-cran-markdown, r-cran-png, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-pdftools, r-cran-reactable, r-cran-renv, r-cran-rmarkdown, r-cran-rsconnect, r-cran-rweka, r-cran-stringi, r-cran-tesseract, r-cran-textutils, r-cran-tinytest, r-cran-webshot2, r-cran-wordcloud2
Filename: pool/dists/focal/main/r-cran-inlpubs_1.3.0-1.ca2004.1_all.deb
Size: 1509488
MD5sum: 41a0fa05376aacac3e1a08375f32b0a8
SHA1: 57850951adc7a26171d2fa81e503a883638e2b14
SHA256: 172abd6dbd1f1103a6d337c6cda8915773720dbb594be8c563dece19149787c5
SHA512: 93bfa508e9b23c1a27ec7bf7eb4964babf0075bebe0acccc66fd96d88b7d9cec0e53e65fa4647987e1af02f05dc24cd394c51ffcb1723b6c58f8447c16cff405
Homepage: https://cran.r-project.org/package=inlpubs
Description: CRAN Package 'inlpubs' (USGS INL Project Office Publications)
 Contains bibliographic information for the U.S. Geological Survey (USGS)
 Idaho National Laboratory (INL) Project Office.

Package: r-cran-innsight
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3730
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-ggplot2, r-cran-r6, r-cran-torch
Suggests: r-cran-covr, r-cran-fastshap, r-cran-ggally, r-cran-gridextra, r-cran-gtable, r-cran-keras, r-cran-knitr, r-cran-lime, r-cran-luz, r-cran-neuralnet, r-cran-palmerpenguins, r-cran-plotly, r-cran-rmarkdown, r-cran-ranger, r-cran-spelling, r-cran-tensorflow, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-innsight_0.3.2-1.ca2004.1_all.deb
Size: 2422132
MD5sum: 72742685eb84ac397ffe414d0641c0f7
SHA1: c016a9fce03cd7965f26b8e5ca7206954c4feafd
SHA256: d8c1fd42134412ab80961ff3dcd97f0a1177a4ff3e3127300c686d3234bca25f
SHA512: a318c78515b341f98f1d14b2d5c3b324ea72e520da6317fc9f7b3be9ba1fd18e7ecf5ce4352fe7af61c6e5ebee95e825155e5f8f5bdcd728d1a312a01cfbdb47
Homepage: https://cran.r-project.org/package=innsight
Description: CRAN Package 'innsight' (Get the Insights of Your Neural Network)
 Interpretation methods for analyzing the behavior and individual predictions
 of modern neural networks in a three-step procedure: Converting the model,
 running the interpretation method, and visualizing the results.  Implemented
 methods are, e.g., 'Connection Weights' described by Olden et al. (2004)
 <doi:10.1016/j.ecolmodel.2004.03.013>, layer-wise relevance propagation
 ('LRP') described by Bach et al. (2015) <doi:10.1371/journal.pone.0130140>,
 deep learning important features ('DeepLIFT') described by Shrikumar et al.
 (2017) <doi:10.48550/arXiv.1704.02685> and gradient-based methods like
 'SmoothGrad' described by Smilkov et al. (2017)
 <doi:10.48550/arXiv.1706.03825>, 'Gradient x Input' or 'Vanilla Gradient'.
 Details can be found in the accompanying scientific paper: Koenen & Wright
 (2024, Journal of Statistical Software, <doi:10.18637/jss.v111.i08>).

Package: r-cran-ino
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1551
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dosnow, r-cran-dplyr, r-cran-forcats, r-cran-foreach, r-cran-ggplot2, r-cran-glue, r-cran-mvtnorm, r-cran-reshape2, r-cran-rlang, r-cran-scales
Suggests: r-cran-fhmm, r-cran-knitr, r-cran-purrr, r-cran-pracma, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ino_1.0.2-1.ca2004.1_all.deb
Size: 1288292
MD5sum: 59163169f3f534b3c6818b668798cc98
SHA1: 50f6063096062c95651649b4536e048a822539f8
SHA256: f3ea1165250e9e7a39ddfd4261555fa194c93226e8f703afe34d55bf9484bc73
SHA512: cfb06ff9c1ac9dc267f4f74e98f567ea2ca54545bcacaa27454f3158b0e8b1beb00cb67eb5763aa6c5c408a5b970b5dd8e41c42c39a23ac004d3ef32841bc3f7
Homepage: https://cran.r-project.org/package=ino
Description: CRAN Package 'ino' (Initialization of Numerical Optimization)
 Analysis of the initialization for numerical optimization of real-valued
 functions, including likelihood functions of statistical models.  See
 <https://loelschlaeger.de/ino/> for more details.

Package: r-cran-inops
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-nycflights13
Filename: pool/dists/focal/main/r-cran-inops_0.0.1-1.ca2004.1_all.deb
Size: 56500
MD5sum: a202ffdb3353ac39337855abbcda981e
SHA1: afc917633815e796a1b466d5b479b098ee08aeb8
SHA256: c8277ad2d49933cb74001d1b5197dd9a6349db84067ab123fce66781513251c1
SHA512: 0fd87180f2d4e2e4c3f15631d463a5be0f75bffdcc90615ed49f46c98b73786610ebdd189e3905097cda096f45fd672a2f0160344461073fcfc3cd71fb1a6009
Homepage: https://cran.r-project.org/package=inops
Description: CRAN Package 'inops' (Infix Operators for Detection, Subsetting and Replacement)
 Infix operators to detect, subset, and replace the elements matched by a
 given condition.  The functions have several variants of operator types,
 including subsets, ranges, regular expressions and others.  Implemented
 operators work on vectors, matrices, and lists.

Package: r-cran-inpdfr
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wordcloud, r-cran-rcolorbrewer, r-cran-tm, r-cran-snowballc, r-cran-cluster, r-cran-entropart, r-cran-metacom, r-cran-stringi, r-cran-r.devices
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-inpdfr_0.1.12-1.ca2004.1_all.deb
Size: 143624
MD5sum: 75e7125153f65a310cfb8b813f81860f
SHA1: 20c597d42b3d28cccd4b0c3e5087f109d96a6517
SHA256: a7c4a259ff1d94123402ff23bdfe85d9272825b1bae1700b3e031e6dff7f3e42
SHA512: f85390928a53d3fd6642a20cfa66b65686a9878a9f6250be270e0c6dc18397c813a6eedd138d76a51af3dfe81001943cee6a26be2667fd9c1221e4d2cd650848
Homepage: https://cran.r-project.org/package=inpdfr
Description: CRAN Package 'inpdfr' (Analyse Text Documents Using Ecological Tools)
 A set of functions to analyse and compare texts, using classical text mining
 functions, as well as those from theoretical ecology.

Package: r-cran-inposition
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prettygraphs, r-cran-exposition
Filename: pool/dists/focal/main/r-cran-inposition_1.0.0-1.ca2004.1_all.deb
Size: 102808
MD5sum: e5b31001361dbd6f5bc2243e5cf704c9
SHA1: 2fd216e0fe5437852536860b72e49c108f1f2537
SHA256: 2f0863f5dcf5300ce2385a778e07ef41e1b0f1376c766d9d4ea66e0928f50bb6
SHA512: a47d7f3a2b28f667082575e71da40cda05000bc0dcdae3e4c9793774d9c5dbebe1b8a371591be4e27db3ab15e34c194aa1e0ca24a0e2139c5bf1a805f9156ee5
Homepage: https://cran.r-project.org/package=InPosition
Description: CRAN Package 'InPosition' (Inference Tests for ExPosition)
 Non-parametric resampling-based inference tests for ExPosition.

Package: r-cran-inqc
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd, r-cran-gdata, r-cran-suncalc
Suggests: r-cran-readr
Filename: pool/dists/focal/main/r-cran-inqc_2.0.5-1.ca2004.1_all.deb
Size: 267088
MD5sum: a3e2e2ba53ca67faf70eabb489ee8676
SHA1: 67233d8ff9471e3e2881e1e2f976735b681b79ca
SHA256: 1b0c43da61e2402512ae8812156ae2875202fe89bf2c4e4b5a04f5948101ad17
SHA512: ffb4f8ec19dc994fb67c9e2116cce54042b64bcc61a2eece725a0e9f562a73b6e16751cb6c745a872cd1efd0f2c66a6386242545a5a6863ec2bd2ef642a77690
Homepage: https://cran.r-project.org/package=INQC
Description: CRAN Package 'INQC' (Quality Control of Climatological Daily Time Series)
 Collection of functions for quality control (QC) of climatological daily
 time series (e.g. the ECA&D station data).

Package: r-cran-inquilab
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-inquilab_0.1.0-1.ca2004.1_all.deb
Size: 18644
MD5sum: 3a24d9ff1f5b2e8e6f2621d1ed289af8
SHA1: 95c88e8a18dfccd14a8e2316892e5adeb1a15ed8
SHA256: 088a129e37a5778d4b07119e484570fb381ecaa987cbbbec5a8aea4263b50d53
SHA512: 42c5e958b277295389087df3155582fc8c76324bd07569d0675f29f1d57c48177e638ff035030599e60c569df673c4b4a926586e925358ec7599307797b22543
Homepage: https://cran.r-project.org/package=Inquilab
Description: CRAN Package 'Inquilab' (Dissipation Kinetics Analysis, Half Life Period, Rate Constant,Plots)
 For environmental chemists, ecologists, researchers and agricultural
 scientists to understand the dissipation kinetics, calculate the half-life
 periods and rate constants of compounds, pesticides, contaminants in
 different matrices.

Package: r-cran-insane
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3731
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggpubr, r-cran-glue, r-cran-patchwork, r-cran-purrr, r-cran-readxl, r-cran-shiny, r-cran-tidyr
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-insane_1.0.3-1.ca2004.1_all.deb
Size: 2572804
MD5sum: 9c90e063fafd2d6c1cd12faadf9fa4e5
SHA1: 55642a76a08592f98af7901a2a194281566ed8f0
SHA256: 4ddaed03804eb58d2fd8c0a9a5556ce5d9ad00470b51bea09ebe39b17d6b83e7
SHA512: 4e9fa1c9bcf4a5d7affc5358cd9c8cbdfd2eb9e73d1379bbb55597a5c0fa12821133dc284d5c0f6b61c5a9c16ac9fc5a2901d7ffdbdc05b16b903fa2b22a0c24
Homepage: https://cran.r-project.org/package=insane
Description: CRAN Package 'insane' (INsulin Secretion ANalysEr)
 A user-friendly interface, using Shiny, to analyse glucose-stimulated
 insulin secretion (GSIS) assays in pancreatic beta cells or islets.  The
 package allows the user to import several sets of experiments from different
 spreadsheets and to perform subsequent steps: summarise in a tidy format,
 visualise data quality and compare experimental conditions without omitting
 to account for technical confounders such as the date of the experiment or
 the technician.  Together, insane is a comprehensive method that optimises
 pre-processing and analyses of GSIS experiments in a friendly-user
 interface.  The Shiny App was initially designed for EndoC-betaH1 cell line
 following method described in Ndiaye et al., 2017
 (<doi:10.1016/j.molmet.2017.03.011>).

Package: r-cran-insect
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1054
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-aphid, r-cran-kmer, r-cran-openssl, r-cran-phylogram, r-cran-rann, r-cran-seqinr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-insect_1.4.4-1.ca2004.1_all.deb
Size: 537020
MD5sum: 0ec112f2f7479f2c3e8f11f447c3e9ee
SHA1: d47880d00c03a6d12d89cffa8c35b0ff34fc194b
SHA256: c1f1b13864e54f7d3837ec64cb3f9605c69f4f19661474ea6dbc35499d6d6f13
SHA512: db13df6c92842f6a8b21b9b699e32d6109d5c0a2f9b3d07e89229fc01bd049ccfd0c6ca86bc486dda1c2c9ed904e6287dd74e0683fa20f8917655d7b0a2999fe
Homepage: https://cran.r-project.org/package=insect
Description: CRAN Package 'insect' (Informatic Sequence Classification Trees)
 Provides tools for probabilistic taxon assignment with informatic sequence
 classification trees. See Wilkinson et al (2018)
 <doi:10.7287/peerj.preprints.26812v1>.

Package: r-cran-insectdisease
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1599
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plyr, r-cran-taxize
Suggests: r-cran-corrplot, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-insectdisease_1.2.2-1.ca2004.1_all.deb
Size: 1523028
MD5sum: cc5ffa84d71ebf275beae52a878c75f2
SHA1: 86055a2d6296ad1f7c64c73edd6dd30efe1ced70
SHA256: 18ff9d26617799f8c7321845a090afd3ca2c5aa7e58e7364262063c62f7e6657
SHA512: 639b1cbd19ccc6c531e38f4ddff8a50b2ac60cf4d6d0bb133cf62b963078372a8dbff2483b068c008c67c8937ae7a3617116a674a293ae18c766b48952a02978
Homepage: https://cran.r-project.org/package=insectDisease
Description: CRAN Package 'insectDisease' (Ecological Database of the World's Insect Pathogens)
 David Onstad provided us with this insect disease database, sometimes
 referred to as the 'Ecological Database of the Worlds Insect Pathogens' or
 EDWIP. Files have been converted from 'SQL' to csv, and ported into 'R' for
 easy exploration and analysis. Thanks to the Macroecology of Infectious
 Disease Research Coordination Network (RCN) for funding and support. Data
 are also served online in a static format at
 <https://edwip.ecology.uga.edu/>.

Package: r-cran-insee
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4091
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-rlang, r-cran-purrr, r-cran-crayon, r-cran-openssl, r-cran-rappdirs
Suggests: r-cran-lubridate, r-cran-ggplot2, r-cran-prettydoc, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-magrittr, r-cran-testthat, r-cran-covr, r-cran-png
Filename: pool/dists/focal/main/r-cran-insee_1.1.7-1.ca2004.1_all.deb
Size: 3308992
MD5sum: ca03df86be97d0346231ada094cfc56c
SHA1: ee8ea36591405f0719e8f4b64263b5aab97b0a71
SHA256: 1107461a39328052e5617f94009eae619a81ee0b714dc7320b70b142db214a50
SHA512: 0b4029b006837ca5fa29dda1ec904c90df6e5e53247206ab685cfd99bb56b603ea31cb5c4e78db54375936e27db2c3b78dcb1accf738a1359c28502f695f6a73
Homepage: https://cran.r-project.org/package=insee
Description: CRAN Package 'insee' (Tools to Easily Download Data from INSEE BDM Database)
 Using embedded sdmx queries, get the data of more than 150 000 insee series
 from 'bdm' macroeconomic database.

Package: r-cran-insidertrades
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-magrittr, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-insidertrades_0.0.1-1.ca2004.1_all.deb
Size: 168828
MD5sum: 388dc29639ed55e34f26830c5d284d06
SHA1: 7d1ab6d08ce63018729812c6b04ead720eeb1362
SHA256: d62ebb7bd3bf35302dde24f2244b1964c6c53350d5b361993557abc0ac6b8dad
SHA512: 06f6a247880c3c676b020e93227f307c79cc6c2ff6cf0d0a3c5d16abcc2571e682d5b5c8a52344d0db158dbe50ec6b958cd4a30dc444cb1ea5eba1e581e6b42e
Homepage: https://cran.r-project.org/package=insiderTrades
Description: CRAN Package 'insiderTrades' (Tools to Download Insider Transactions and Holdings)
 Download insider trading transactions and insider holdings from a public
 NoSQL SEC database (<https://www.sec.gov/Archives/edgar/full-index/>) using
 keyword criteria and generate a relational dataframe.

Package: r-cran-insight
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3201
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-aer, r-cran-afex, r-cran-aod, r-cran-ape, r-cran-bayesfactor, r-cran-bayestestr, r-cran-bbmle, r-cran-bdsmatrix, r-cran-betareg, r-cran-bife, r-cran-biglm, r-cran-bh, r-cran-blavaan, r-cran-blme, r-cran-boot, r-cran-brms, r-cran-broom, r-cran-car, r-cran-cardata, r-cran-censreg, r-cran-cgam, r-cran-clubsandwich, r-cran-cobalt, r-cran-coxme, r-cran-cplm, r-cran-crch, r-cran-curl, r-cran-datawizard, r-cran-dbarts, r-cran-effectsize, r-cran-emmeans, r-cran-epir, r-cran-estimatr, r-cran-feisr, r-cran-fixest, r-cran-fungible, r-cran-fwb, r-cran-gam, r-cran-gamlss, r-cran-gamlss.data, r-cran-gamm4, r-cran-gbm, r-cran-gee, r-cran-geepack, r-cran-geor, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-glmtoolbox, r-cran-gmnl, r-cran-gt, r-cran-httptest2, r-cran-httr2, r-cran-interp, r-cran-ivreg, r-cran-jm, r-cran-knitr, r-cran-lavaan, r-cran-lavasearch2, r-cran-lfe, r-cran-lme4, r-cran-lmertest, r-cran-lmtest, r-cran-logistf, r-cran-logitr, r-cran-marginaleffects, r-cran-mass, r-cran-matrix, r-cran-mclogit, r-cran-mclust, r-cran-mcmcglmm, r-cran-mertools, r-cran-metabma, r-cran-metadat, r-cran-metafor, r-cran-metaplus, r-cran-mgcv, r-cran-mice, r-cran-mlogit, r-cran-mmrm, r-cran-modelbased, r-cran-multgee, r-cran-mumin, r-cran-nestedlogit, r-cran-nlme, r-cran-nnet, r-cran-nonnest2, r-cran-ordinal, r-cran-panelr, r-cran-parameters, r-cran-parsnip, r-cran-pbkrtest, r-cran-performance, r-cran-phylolm, r-cran-plm, r-cran-poorman, r-cran-proreg, r-cran-pscl, r-cran-psych, r-cran-quantreg, r-cran-rcpp, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rms, r-cran-robustbase, r-cran-robustlmm, r-cran-rpart, r-cran-rstanarm, r-cran-rstantools, r-cran-rstudioapi, r-cran-rwiener, r-cran-sandwich, r-cran-sdmtmb, r-cran-serp, r-cran-speedglm, r-cran-statmod, r-cran-survey, r-cran-survival, r-cran-svylme, r-cran-testthat, r-cran-tinytable, r-cran-tmb, r-cran-truncreg, r-cran-tune, r-cran-tweedie, r-cran-vgam, r-cran-weightit, r-cran-withr
Filename: pool/dists/focal/main/r-cran-insight_1.3.1-1.ca2004.1_all.deb
Size: 2361728
MD5sum: 918c6a3d1dce1a451d3bd069af89c009
SHA1: 6eb7bf4bee0813b81b6362c3d2f16c50b86c32f6
SHA256: d95dd23a9cc7186cc64badd008516a946d9b4404a7ad3b95ad5a7c90cb677fe0
SHA512: 0631e7873ed1cdf08e966bf78399bdd4702214fe189dbdfefb7189d6417ff52b505ad107d4bbbd113fd5364ffd5ec398e20719158a99fc563f81e579b0199d07
Homepage: https://cran.r-project.org/package=insight
Description: CRAN Package 'insight' (Easy Access to Model Information for Various Model Objects)
 A tool to provide an easy, intuitive and consistent access to information
 contained in various R models, like model formulas, model terms, information
 about random effects, data that was used to fit the model or data from
 response variables. 'insight' mainly revolves around two types of functions:
 Functions that find (the names of) information, starting with 'find_', and
 functions that get the underlying data, starting with 'get_'. The package
 has a consistent syntax and works with many different model objects, where
 otherwise functions to access these information are missing.

Package: r-cran-insilicova
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4841
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava, r-cran-coda, r-cran-ggplot2, r-cran-interva5
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-insilicova_1.4.0-1.ca2004.1_all.deb
Size: 4081868
MD5sum: f7017d167ad238f156bd0917db7c6455
SHA1: 8c15c85ddf0a067eb5091f55098c82b07fe5a765
SHA256: 885b1ad12f5264411b4c6890196f32293d1b72268edb0d39c84a0f83bc78c954
SHA512: d0afbcee903ed1f383828f53414c1d2120d7eee3e0ba35a5a59ceed410517a47048b5f70a23a89ac85396ec71f3a40e088d73c32e28222d456b5faf956f876ba
Homepage: https://cran.r-project.org/package=InSilicoVA
Description: CRAN Package 'InSilicoVA' (Probabilistic Verbal Autopsy Coding with 'InSilicoVA' Algorithm)
 Computes individual causes of death and population cause-specific mortality
 fractions using the 'InSilicoVA' algorithm from McCormick et al. (2016)
 <DOI:10.1080/01621459.2016.1152191>. It uses data derived from verbal
 autopsy (VA) interviews, in a format similar to the input of the widely used
 'InterVA' method. This package provides general model fitting and
 customization for 'InSilicoVA' algorithm and basic graphical visualization
 of the output.

Package: r-cran-inspectchangepoint
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Suggests: r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-inspectchangepoint_1.2-1.ca2004.1_all.deb
Size: 86112
MD5sum: 97b20286ab6860d27f03c7e6d8b543f5
SHA1: c88f1489a2409e2072b4a3a0421be07d3a5b67ee
SHA256: 0f00c3d7f25664a2a96082b562811866d2d51c5ed88dd10c6bf9483b9267214a
SHA512: 3e74895fd17525c46d24571b81236c3792544787aaeb0fc3058d3c29930469963e942879724ea8805a195d21cf007b9a07bef480116f2c71883c2992ac308ae6
Homepage: https://cran.r-project.org/package=InspectChangepoint
Description: CRAN Package 'InspectChangepoint' (High-Dimensional Changepoint Estimation via Sparse Projection)
 Provides a data-driven projection-based method for estimating changepoints
 in high-dimensional time series. Multiple changepoints are estimated using a
 (wild) binary segmentation scheme.

Package: r-cran-inspectionplanner
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-devtools, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-inspectionplanner_1.2-1.ca2004.1_all.deb
Size: 66252
MD5sum: 7e5ffb3fb61b391c092d7e2c5998e91a
SHA1: 27a84c527389b70d2360088edd5da82fe9cf9bd1
SHA256: 15f6c79c5e7f629829503ab541082b32a76dc8cea4c26794a4f7cbf36989e6f9
SHA512: b23f6b321dea86fa524916287efcbf88aed32bae3ad6f6c39becdb90aaeacdae1c85fa4fd26701f7ff78492ec23a4f8c71a5570d0348b7df42fef04f753a9cb9
Homepage: https://cran.r-project.org/package=InspectionPlanner
Description: CRAN Package 'InspectionPlanner' (Phytosanitary Inspection Sampling Planner)
 A 'shiny' application to assist in phytosanitary inspections. It generates a
 diagram of pallets in a lot, highlights the units to be sampled, and
 documents them based on the selected sampling method (simple random or
 systematic sampling).

Package: r-cran-inspector
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-pcal
Filename: pool/dists/focal/main/r-cran-inspector_1.0.3-1.ca2004.1_all.deb
Size: 107700
MD5sum: 6f43cfcd4400cd64e806c5299c9da7d9
SHA1: 58484ff5125fc3259e86e8f49292a5f673612a72
SHA256: ec250c383a40eb364a70269ee5a169c6548e8b3213c593fcee480527446c2c56
SHA512: 7e227130b47238284ac104a9cde7621830679518ce87d1d6333bc09fecb3251c63621adc20bf759b6f0051e2be50fbc91bedb9f67361de1b6fc7857ec056d9c2
Homepage: https://cran.r-project.org/package=inspector
Description: CRAN Package 'inspector' (Validation of Arguments and Objects in User-Defined Functions)
 Utility functions that implement and automate common sets of validation
 tasks.  These functions are particularly useful to validate inputs,
 intermediate objects and output values in user-defined functions, resulting
 in tidier and less verbose functions.

Package: r-cran-inspectumours
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 970
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-brms, r-cran-dplyr, r-cran-dt, r-cran-ggeffects, r-cran-ggplot2, r-cran-knitr, r-cran-lme4, r-cran-modelr, r-cran-pander, r-cran-plotly, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyalert, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinytoastr, r-cran-shinyvalidate, r-cran-tidybayes, r-cran-tippy, r-cran-tidyr, r-cran-vroom, r-cran-waiter
Suggests: r-cran-spelling, r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-inspectumours_0.1.0-1.ca2004.1_all.deb
Size: 867204
MD5sum: 992d1da8e27d73ce095fbc6873064c2e
SHA1: 916b9acd6e7b16c971dce44c6402e51c6106507b
SHA256: 78deba15590fa11b68ec8a7cc0234dbde4f32bb75bf23dba314a3d7221130884
SHA512: 65c01905885573bc3d687ba78a04a9ae9db57292500497cfe6784796588b5d43893ca0db2b759a4b133c50a66f2b8ec2f64ba6e1111fc2b684af4f73dda53263
Homepage: https://cran.r-project.org/package=INSPECTumours
Description: CRAN Package 'INSPECTumours' (IN-vivo reSPonsE Classification of Tumours)
 This is a shiny app used for the statistical classifying and analysing
 pre-clinical tumour responses.

Package: r-cran-instagramadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-instagramadsr_0.1.0-1.ca2004.1_all.deb
Size: 22156
MD5sum: 1fa000b64235ec080e0b22361f8f18c1
SHA1: 86e38f5fdc4eb489b8ad7e8e039ccb7e8910de9d
SHA256: cce65f31ac11b9422d8da889d99c3b97838614519484994b97ae1888a601b182
SHA512: a2fc9dd1ff9adcfd87c08ee7590c57d8b2efd097e8afa443884d6167ad6c249a80dc032877fd654dee92251e85bdc9de6157e5e536b127c4d17e76c949ab03ee
Homepage: https://cran.r-project.org/package=instagramadsR
Description: CRAN Package 'instagramadsR' (Access to Instagram Ads via the 'Windsor.ai' API)
 Collect marketing data from Instagram Ads using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.

Package: r-cran-install.load
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fastmatch, r-cran-checkmate, r-cran-assertthat
Suggests: r-cran-tinytest, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-install.load_1.2.5-1.ca2004.1_all.deb
Size: 29220
MD5sum: 68c7353ab1f4c9daa13caf86f62b24e5
SHA1: 2eb49d4914dad2e38ae24b87f58be801bfc4a672
SHA256: 50fcccd046665342e61eabd470656ed6ab858face743301a455e26328e179acf
SHA512: 3e1a9d5f89b6fb31b89454ba3bc9aa9ee45ea59658897461695859118f063a1229a04193c4be152070046a7c28135797736e506359171c830efc58bfd44fd14c
Homepage: https://cran.r-project.org/package=install.load
Description: CRAN Package 'install.load' (Check, Install and Load CRAN Packages)
 The function 'install_load' checks the local R library(ies) to see if the
 required package(s) is/are installed or not. If the package(s) is/are not
 installed, then the package(s) will be installed along with the required
 dependency(ies). This function pulls source or binary packages from the
 Posit/RStudio-sponsored CRAN mirror. Lastly, the chosen package(s) is/are
 loaded. The function 'load_package' simply loads the provided package(s). If
 this package does not fit your needs, then you may want to consider these
 other R packages: 'needs', 'easypackages', 'pacman', 'pak', 'anyLib', and/or
 'librarian'.

Package: r-cran-installr
Architecture: all
Version: 0.23.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-curl, r-cran-xml, r-cran-devtools, r-cran-rjson, r-cran-data.table, r-cran-plyr, r-cran-ggplot2, r-cran-sp, r-cran-pkgbuild, r-cran-testthat, r-cran-mockery, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-installr_0.23.4-1.ca2004.1_all.deb
Size: 333124
MD5sum: 59fcc0ca72e6faa49789dfb0a715e4ad
SHA1: a4e759c6a46dc30cac9a0739737398d906f819b4
SHA256: d378d4ab35252c6601aeefc626433327fcd210ec8189c4795a1119d1af98673a
SHA512: b6eb9374f019b11c244ce6ba21ac7accd3bb78163289067cd9f411e3e406072ede9385ce241c98b0d3b18eb98bcb26033b578eeb90a589bb9865e97381383dda
Homepage: https://cran.r-project.org/package=installr
Description: CRAN Package 'installr' (Using R to Install Stuff on Windows OS (Such As: R, 'Rtools','RStudio', 'Git', and More!))
 R is great for installing software.  Through the 'installr' package you can
 automate the updating of R (on Windows, using updateR()) and install new
 software. Software installation is initiated through a GUI (just run
 installr()), or through functions such as: install.Rtools(),
 install.pandoc(), install.git(), and many more. The updateR() command
 performs the following: finding the latest R version, downloading it,
 running the installer, deleting the installation file, copy and updating old
 packages to the new R installation.

Package: r-cran-instar
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-instar_0.2.4-1.ca2004.1_all.deb
Size: 64364
MD5sum: 9378f6b36cf69d5d1e2306202dc4ca50
SHA1: 671a3ef8bba3de67dcb31e7f9eb7c9dcbdae4077
SHA256: 78ecbae7f2014e68a3b2b039c22d921bb9a7b7cd719550ee25c3162b7ba57a9b
SHA512: c754a71a5ed203d66f3c3165ac5db8cf7caf227237e425fdc0a16300d8cc7f1dd667ac0b5b924946795c3a77b72e0849b729f41510a295994af36ec4a213da0d
Homepage: https://cran.r-project.org/package=instaR
Description: CRAN Package 'instaR' (Access to Instagram API via R)
 Provides an interface to the Instagram API <https://instagram.com/
 developer/>, which allows R users to download public pictures filtered by
 hashtag, popularity, user or location, and to access public users' profile
 data.

Package: r-cran-insurancedata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 643
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-insurancedata_1.0-1.ca2004.1_all.deb
Size: 627884
MD5sum: 8db039b93e6242de4a886f09dc8cd377
SHA1: 14da0de4c007bbc054fdf01815b86be5616a7356
SHA256: a656b05c2944d6c6a7ebd3188009c89abb36383480ccd41d42c6497c0482d92c
SHA512: 95497c923986a2a193b70b19097acc4c14a5a848b60ab8e73cf39d61f3d64ebe8256bff742c5727cc99294babca524c005e23ed0f56f9a0e36bde489861abea3
Homepage: https://cran.r-project.org/package=insuranceData
Description: CRAN Package 'insuranceData' (A Collection of Insurance Datasets Useful in Risk Classificationin Non-life Insurance)
 Insurance datasets, which are often used in claims severity and claims
 frequency modelling. It helps testing new regression models in those
 problems, such as GLM, GLMM, HGLM, non-linear mixed models etc. Most of the
 data sets are applied in the project "Mixed models in ratemaking" supported
 by grant NN 111461540 from Polish National Science Center.

Package: r-cran-insurancerating
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-citools, r-cran-classint, r-cran-colorspace, r-cran-data.table, r-cran-dharma, r-cran-dplyr, r-cran-evtree, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-insight, r-cran-lubridate, r-cran-mgcv, r-cran-patchwork, r-cran-scales, r-cran-scam, r-cran-stringr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-insurancerating_0.7.5-1.ca2004.1_all.deb
Size: 1293968
MD5sum: a144002d8a79a08795f22394534cd4a0
SHA1: 5d80d75bab251d9a9bc00d99a6f1084623b16bb4
SHA256: 1254a4ba69028a7f1c930fd072817318f24538e3d852a46d06aced05846707e9
SHA512: 17de6c0931ed83ec60e19520d3c4f3f11f0f615a4f1f89b2e2bc1264a01c2f34636cff6b90026980afd316649213e1563d1816d8d97db1d561f6970ca65bc33e
Homepage: https://cran.r-project.org/package=insurancerating
Description: CRAN Package 'insurancerating' (Analytic Insurance Rating Techniques)
 Functions to build, evaluate, and visualize insurance rating models. It
 simplifies the process of modeling premiums, and allows to analyze insurance
 risk factors effectively. The package employs a data-driven strategy for
 constructing insurance tariff classes, drawing on the work of Antonio and
 Valdez (2012) <doi:10.1007/s10182-011-0152-7>.

Package: r-cran-insusenscalc
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-insusenscalc_0.0.1-1.ca2004.1_all.deb
Size: 41260
MD5sum: 2fc7d39fe2d5cff29761c9a1c61c1283
SHA1: cf2db65702d3e399061fc3927e5817f868408a97
SHA256: baaa585e32457ca41a3bddbfffa7b2f527051500f3d382c94141d4caedad558d
SHA512: 299c8cf9e4d49783692fd7ef38aa532bd0372a9dd58446303628edb01ea349d73855ad2e6e6cc7217ade44362d9ec8f101a571b566edcda7ea56ca8d3736a94a
Homepage: https://cran.r-project.org/package=InsuSensCalc
Description: CRAN Package 'InsuSensCalc' (Insulin Sensitivity Indices Calculator)
 It facilitates the calculation of 40 different insulin sensitivity indices
 based on fasting, oral glucose tolerance test (OGTT), lipid (adipose), and
 tracer (palmitate and glycerol rate) and dxa (fat mass) measurement values.
 It enables easy and accurate assessment of insulin sensitivity, critical for
 understanding and managing metabolic disorders like diabetes and obesity.
 Indices calculated are described in Gastaldelli (2022).
 <doi:10.1002/oby.23503> and Lorenzo (2010). <doi:10.1210/jc.2010-1144>.

Package: r-cran-intamap
Architecture: all
Version: 1.5-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 574
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-gstat, r-cran-sf, r-cran-automap, r-cran-mba, r-cran-mvtnorm, r-cran-mass, r-cran-evd, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-psgp
Filename: pool/dists/focal/main/r-cran-intamap_1.5-7-1.ca2004.1_all.deb
Size: 538360
MD5sum: fe5e7449dab39f4387f44cf3fa0ef249
SHA1: 8fa93fabdd225c21038afb82a4ce4e07d3d61e9c
SHA256: 2dec1fa67ae26a520e8a161d290ad4ee625f4b6e9933de768e0a2340971aa3a9
SHA512: 82ac8ec6e7ce61f5ad2d4f8bfc31aa09f57314024823cc191f2d9cda60067f4644d6c49c475bbf2544dc5014e146eec4af8b7318a0a8accab53e8884802e02a0
Homepage: https://cran.r-project.org/package=intamap
Description: CRAN Package 'intamap' (Procedures for Automated Interpolation)
 Geostatistical interpolation has traditionally been done by manually fitting
 a variogram and then interpolating. Here, we introduce classes and methods
 that can do this interpolation automatically. Pebesma et al (2010) gives an
 overview of the methods behind and possible usage
 <doi:10.1016/j.cageo.2010.03.019>.

Package: r-cran-intamapinteractive
Architecture: all
Version: 1.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-intamap, r-cran-spatstat.geom, r-cran-automap, r-cran-gstat, r-cran-sp, r-cran-spcosa, r-cran-sf
Filename: pool/dists/focal/main/r-cran-intamapinteractive_1.2-6-1.ca2004.1_all.deb
Size: 219960
MD5sum: 955fa4f283db53e9b56fce3c4bb36f5c
SHA1: 2400397ffb070ffb545d47805b535de6a0474f9f
SHA256: 95a186b23eb094fa7741908c09bef843d16b2c2c0e0b9b3857896f4f7aa58674
SHA512: 6fa5940ba58cac65c5ac2bf09377d947075dde1db2a726c61b8f0de5dd113d0e7f3020f93aac88bc1a29d1f6ede89e0f414c0528596cbabba52387018a5c0b1e
Homepage: https://cran.r-project.org/package=intamapInteractive
Description: CRAN Package 'intamapInteractive' (Interactive Add-on Functionality for 'intamap')
 The methods in this package adds to the functionality of the 'intamap'
 package, such as bias correction and network optimization. Pebesma et al
 (2010) gives an overview of the methods behind and possible usage
 <doi:10.1016/j.cageo.2010.03.019>.

Package: r-cran-intcal
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1777
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-intcal_0.3.1-1.ca2004.1_all.deb
Size: 545916
MD5sum: cfcde0960cc28ca2c5bf41425c169367
SHA1: 89a51d26ad30b21672940b07600049a0e1917648
SHA256: ff4cef7a87e616560cc4859ff033067b17e1a066f2a00aba32abe4be7225a977
SHA512: 5d3660a0f51467c8ff8fe76e34369f44985bbb749818bd6432a071727856abff28e8454046852174db3524674f6fa0d0c2a2ba197f44eccabbb13f7cf1302344
Homepage: https://cran.r-project.org/package=IntCal
Description: CRAN Package 'IntCal' (Radiocarbon Calibration Curves)
 The IntCal20 radiocarbon calibration curves (Reimer et al. 2020
 <doi:10.1017/RDC.2020.68>) are provided here in a single data package,
 together with previous IntCal curves (IntCal13, IntCal09, IntCal04,
 IntCal98) and postbomb curves. Also provided are functions to copy the
 curves into memory, and to plot the curves and their underlying data, as
 well as functions to calibrate radiocarbon dates.

Package: r-cran-intccr
Architecture: all
Version: 3.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2002
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-alabama, r-cran-doparallel, r-cran-foreach, r-cran-mass, r-cran-splines2
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-intccr_3.0.4-1.ca2004.1_all.deb
Size: 1967236
MD5sum: 888c870923e4f563a166ca18f5a93f96
SHA1: 4d55b5cd60ef6e20bfb168ae1d14761b5981bd2c
SHA256: 280c6382a2f6ec8c85015eb9d8c17ffcbcd75b9735030610fe5d662de23880ac
SHA512: 2339ffd00fe644e62967b42806dca6fa1ebf90ae7b20800084f23e4058e955fa40128c244e50baa50864af4411824a42bea50566cfb70ce918f88e285cec8aae
Homepage: https://cran.r-project.org/package=intccr
Description: CRAN Package 'intccr' (Semiparametric Competing Risks Regression under IntervalCensoring)
 Semiparametric regression models on the cumulative incidence function for
 interval-censored competing risks data as described in Bakoyannis, Yu, &
 Yiannoutsos (2017) /doi{10.1002/sim.7350} and the models with missing event
 types as described in Park, Bakoyannis, Zhang, & Yiannoutsos (2021)
 \doi{10.1093/biostatistics/kxaa052}. The proportional subdistribution
 hazards model (Fine-Gray model), the proportional odds model, and other
 models that belong to the class of semiparametric generalized odds rate
 transformation models.

Package: r-cran-integirty
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1502
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ltm, r-cran-foreach, r-cran-doparallel, r-cran-mclust, r-cran-mass, r-cran-abind
Suggests: r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-integirty_1.0.8-1.ca2004.1_all.deb
Size: 1337244
MD5sum: 2d89b3b1e6cfe5c2cfcd66b5a0c4e621
SHA1: f2b66c836226887844f24b261d867d6890d36ffe
SHA256: 5cf254ff9bb37ce5b979797f6f58ff5b6903d8355af0b3bb489adacfb5818bb6
SHA512: b7def85b2f42d08b6bf05a56774f739cbf289697b23e4e2d2504d7d85b105ea30ec648eaa8b6cee664990bebfad67d2a91c4f9fdd1db145e29375eb9380febf9
Homepage: https://cran.r-project.org/package=integIRTy
Description: CRAN Package 'integIRTy' (Integrating Multiple Modalities of High Throughput Assays UsingItem Response Theory)
 Provides a systematic framework for integrating multiple modalities of
 assays profiled on the same set of samples. The goal is to identify genes
 that are altered in cancer either marginally or consistently across
 different assays. The heterogeneity among different platforms and different
 samples are automatically adjusted so that the overall alteration magnitude
 can be accurately inferred. See Tong and Coombes (2012)
 <doi:10.1093/bioinformatics/bts561>.

Package: r-cran-integr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2548
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rsvg, r-cran-gtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-integr_1.0.0-1.ca2004.1_all.deb
Size: 538448
MD5sum: 8cf030df7ed8f93bfa765b8f8c9c4c4f
SHA1: 8574395514a53e6b1e02c9504dbb41c93314741a
SHA256: 7eca953cc3eba088ebe11c6f4a3ed88185a374b8705d990171fc8b768b362681
SHA512: 4731b8ec8f183f3ed84950e1887ccde3f852337f871bffdf56f98c5a0704bf67d579e72b929d41c0bdca17b33fe2aa237193b9bafcb4d197f6e8eefc11269462
Homepage: https://cran.r-project.org/package=integr
Description: CRAN Package 'integr' (An Implementation of Interaction Graphs of Aleks Jakulin)
 Generates a 'Graphviz' graph of the most significant 3-way interaction gains
 (i.e. conditional information gains) based on a provided discrete data
 frame. Various output formats are supported ('Graphviz', SVG, PNG, PDF, PS).
 For references, see the webpage of Aleks Jakulin
 <http://stat.columbia.edu/~jakulin/Int/>.

Package: r-cran-integratebs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-integratebs_0.1.0-1.ca2004.1_all.deb
Size: 10656
MD5sum: 02ce5b71669501747d1ffc44a032d714
SHA1: 9fef00974d21d0fe6414bd0ebd72759ce50f2339
SHA256: 2e357de28676926b06e7762cc49440421d5a87061282b10352d1167fcd4debd9
SHA512: c98658eee66eec4d2222df6e7eee25630199e6aba360a69b179f70461a4c9f3b5f74f9a5a08461835f3a5c5eb43bdbc4f38fd4c275a0114eadcbe324e8309e32
Homepage: https://cran.r-project.org/package=IntegrateBs
Description: CRAN Package 'IntegrateBs' (Integration for B-Spline)
 Integrated B-spline function.

Package: r-cran-integratedjm
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-nlme, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-integratedjm_1.6-1.ca2004.1_all.deb
Size: 130404
MD5sum: 3b04f59f69e43b2c538c319810031e82
SHA1: 3d0af457f846815464c4591fc6fa8c50189d44bd
SHA256: f11c9291c7b3bb8f2bf3047b61cb2a5d72979ea456e0be3f1e99754911d577f9
SHA512: 674ea80c2daa2d031761918d31636660ea4a096e9c8849fffa5fd9d3c76316f4eb5a2f356f2619762c965c2dcf35b087f5f331495c4ab8fbbd2fd0d0819bda42
Homepage: https://cran.r-project.org/package=IntegratedJM
Description: CRAN Package 'IntegratedJM' (Joint Modeling of the Gene-Expression and Bioassay Data, TakingCare of the Effect Due to a Fingerprint Feature)
 Offers modeling the association between gene-expression and bioassay data,
 taking care of the effect due to a fingerprint feature and helps with
 several plots to better understand the analysis.

Package: r-cran-intendo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-dbi, r-cran-dplyr, r-cran-duckdb, r-cran-pointblank, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-intendo_0.1.1-1.ca2004.1_all.deb
Size: 83008
MD5sum: 82b5114931f35e2be7f0e2824505b556
SHA1: f00e8f0a0176b580cdb6dd69c6bea0500098fddd
SHA256: 10a0d1d98d28eb80b7b69c318469e266beb039ffff0fef62e9968e0053ee01fc
SHA512: 3420284ddbb1838183dae728fe08c883214c4471e5426f7381ebe597e2f6155bbdce60ef4958865a779213803ad8f69f873cc965d92f9e29d537cdb1d2733255
Homepage: https://cran.r-project.org/package=intendo
Description: CRAN Package 'intendo' (A Group of Fun Datasets of Various Sizes and Differing Levels ofQuality)
 Four datasets are provided here from the 'Intendo' game 'Super Jetroid'. It
 is data from the 2015 year of operation and it comprises a revenue table
 ('all_revenue'), a daily users table ('users_daily'), a user summary table
 ('user_summary'), and a table with data on all user sessions
 ('all_sessions'). These core datasets come in different sizes, and, each of
 them has a variant that was intentionally made faulty (totally riddled with
 errors and inconsistencies). This suite of tables is useful for testing with
 packages that focus on data validation and data documentation.

Package: r-cran-intensegrid
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-tidyr, r-cran-tibble, r-cran-rlang, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-intensegrid_0.1.2-1.ca2004.1_all.deb
Size: 64212
MD5sum: 2c7f8de663fec95bc803f92ea8e2964a
SHA1: 3336317de1f090f72f48ffa00ed93eaee4afa8e9
SHA256: 40eb2c4245f1069ad266e9c8c13447e69bbdc7ee551a874273f36fe0bfa60fdf
SHA512: 3750a8e7bb43bbbcafaa2700ee209d7ddc4b3d69d38730d9ac5d385aad6af1f07753b71af0953c4f5cf4c27b112a9694d478e4913dbda1fd37bf68e75e21f028
Homepage: https://cran.r-project.org/package=intensegRid
Description: CRAN Package 'intensegRid' (R Wrapper for the Carbon Intensity API)
 Electricity is not made equal and it vary in its carbon footprint (or carbon
 intensity) depending on its source. This package enables to access and query
 data provided by the Carbon Intensity API
 (<https://carbonintensity.org.uk/>). National Grid’s Carbon Intensity API
 provides an indicative trend of regional carbon intensity of the electricity
 system in Great Britain.

Package: r-cran-intensity.analysis
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgdal, r-cran-differ, r-cran-raster, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-intensity.analysis_0.1.6-1.ca2004.1_all.deb
Size: 173232
MD5sum: b61d5f5bfb96f67ff13bfba1771a7537
SHA1: be9ca77f00c287416905df4b5e4875ed60581319
SHA256: df0efac579c1acefe43e7f5954874cc0291321b5109284d15ebefef73ae52e50
SHA512: 460f2e7c2eaa74df07027c34e07f0577aa7d0741cbf2a74989e5c6b2b616f1a7e1347872b5515c152182f8ba793ea1fa339920e92a2d5f5cbfadd3ebfce099cf
Homepage: https://cran.r-project.org/package=intensity.analysis
Description: CRAN Package 'intensity.analysis' (Intensity of Change for Comparing Categorical Maps fromSequential Intervals)
 Calculate metrics of change intensity for category, transition and interval
 levels in categorical maps from sequential intervals. For more information
 please consult: Aldwaik,Safaa Zakaria and Robert Gilmore Pontius Jr. (2012).
 "Intensity analysis to unify measurements of size and stationarity of land
 changes by interval, category, and transition". Landscape and Urban
 Planning. 106, 103-114. <doi:10.1016/j.landurbplan.2012.02.010>.

Package: r-cran-intensitynet
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2795
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-intergraph, r-cran-matrix, r-cran-sna, r-cran-spatstat.geom, r-cran-spdep, r-cran-viridis
Suggests: r-cran-spatstat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-intensitynet_1.4.0-1.ca2004.1_all.deb
Size: 2739048
MD5sum: 3ac0ef3ba6c48e29705fb76dc640d25c
SHA1: 7c10ab1a0603a700b2808b1bf7c19d87829befd1
SHA256: b968121e6873789d3da900c03b6351e048d16a86a8263555241dee8dd1622196
SHA512: 763a13a9802d3f498ad4f1aec54bd26ecac238886747fe75a286ff660e685e71a89e89714281cddaffbf757a18a278e900b11853dea344c448eb8f714b164a24
Homepage: https://cran.r-project.org/package=intensitynet
Description: CRAN Package 'intensitynet' (Intensity Analysis of Spatial Point Patterns on Complex Networks)
 Tools to analyze point patterns in space occurring over planar network
 structures derived from graph-related intensity measures for undirected,
 directed, and mixed networks.  This package is based on the following
 research: Eckardt and Mateu (2018) <doi:10.1080/10618600.2017.1391695>.
 Eckardt and Mateu (2021) <doi:10.1007/s11749-020-00720-4>.

Package: r-cran-intepareto
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-genomicranges, r-bioc-genomeinfodb, r-bioc-iranges, r-bioc-genomicalignments, r-bioc-biomart, r-bioc-rsamtools, r-cran-rpref, r-bioc-deseq2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-intepareto_0.1.2-1.ca2004.1_all.deb
Size: 2115912
MD5sum: ea0630942a55248a0b15b2e979b4cdad
SHA1: 6838aa7137eb9c322d8f90594efacf15a56ceefb
SHA256: a2ef719d3a896d1fe9ec1c596bae55767ef8e7c75f3b868800603969a689a82c
SHA512: a43824efe61103aaaf7f8ef39d36740a505b64d310048721cdd14995a577559c1888945d7001fa63088627a09a5d34fd5ab908df88c14bdd9b5fa461af381393
Homepage: https://cran.r-project.org/package=intePareto
Description: CRAN Package 'intePareto' (Integrative Analysis of RNA-Seq and ChIP-Seq Data)
 Integrative analysis of gene expression (RNA-Seq data), and histone
 modification data for user-defined sets of histone marks (ChIP-Seq data) to
 discover consistent changes in genes between biological conditions.
 Additionally, Pareto optimization is used to prioritize genes based on the
 level of consistent changes in both RNA-Seq and ChIP-Seq data.  Method is
 described in Cao, Y. et al. (2020) <doi:10.1186/s12864-020-07205-6>.

Package: r-cran-interactionpower
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-polynom, r-cran-chngpt, r-cran-rlang, r-cran-tidyr, r-cran-ggbeeswarm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-interactionpower_0.2.2-1.ca2004.1_all.deb
Size: 412848
MD5sum: c97789dc02c8681addf01811f475de3d
SHA1: ff832a7531b5fa1c665c0d4e53ea7fbd51d2386c
SHA256: a1f2daf786c583ae7ee3f266ce8629a4dfa6eab9a85788ceeb480190672a413e
SHA512: 6c0a36d9695772cfdf679a310ab94843db8b86cfba8b801e24238630dc7b39cac0aa2ced1b3a1d9fd8fbe8b5c833f505315d2cf8da401efcecd943a7a50567f9
Homepage: https://cran.r-project.org/package=InteractionPoweR
Description: CRAN Package 'InteractionPoweR' (Power Analyses for Interaction Effects in Cross-SectionalRegressions)
 Power analysis for regression models which test the interaction of two or
 three independent variables on a single dependent variable. Includes options
 for correlated interacting variables and specifying variable reliability.
 Two-way interactions can include continuous, binary, or ordinal variables.
 Power analyses can be done either analytically or via simulation.  Includes
 tools for simulating single data sets and visualizing power analysis
 results.  The primary functions are power_interaction_r2() and
 power_interaction() for two-way interactions, and
 power_interaction_3way_r2() for three-way interactions.  Please cite as:
 Baranger DAA, Finsaas MC, Goldstein BL, Vize CE, Lynam DR, Olino TM (2023).
 "Tutorial: Power analyses for interaction effects in cross-sectional
 regressions." <doi:10.1177/25152459231187531>.

Package: r-cran-interactionr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-msm, r-cran-car, r-cran-officer, r-cran-flextable
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interactionr_0.1.7-1.ca2004.1_all.deb
Size: 135080
MD5sum: c84c3920fde9060af652d687b363a250
SHA1: 5dd91097dac24079fdfa6fc1193d24e87419ab2d
SHA256: 5765b09743cfd2439ed5341b1fe0359c773bfdda21c44997ea222e9db1b311ad
SHA512: 25efd47d5226806e8684247097822b895d1bdf37873dcfd94063c1cb6275937ae147a6e5fd53c886558d002ef53aef55691ff028026e126a46c646db2c49c37e
Homepage: https://cran.r-project.org/package=interactionR
Description: CRAN Package 'interactionR' (Full Reporting of Interaction Analyses)
 Produces a publication-ready table that includes all effect estimates
 necessary for full reporting effect modification and interaction analysis as
 recommended by Knol and Vanderweele (2012) [<doi:10.1093/ije/dyr218>]. It
 also estimates confidence interval for the trio of additive interaction
 measures using the delta method (see Hosmer and Lemeshow (1992),
 [<doi:10.1097/00001648-199209000-00012>]), variance recovery method (see Zou
 (2008), [<doi:10.1093/aje/kwn104>]), or percentile bootstrapping (see
 Assmann et al. (1996), [<doi:10.1097/00001648-199605000-00012>]).

Package: r-cran-interactionrcs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2112
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-msm, r-cran-rms, r-cran-boot, r-cran-pspline, r-cran-pryr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-interactionrcs_0.1.1-1.ca2004.1_all.deb
Size: 882616
MD5sum: 40cbdc7849c41e309f7dee93fbf2de2b
SHA1: 150329142d3a2af6f46e3c75103171722bd5ce99
SHA256: f424458dd951e96b72b02ab55b1a9f5f19550bd01f06f63a2fe9c257e201b0cd
SHA512: 700eedaf9b032be47f68375cfc8dfaaf80410129542efe98f85327eba137f0b194ec714532e7db2587479f636e917d43a4ced4bdfad2941b8b189d9af6a1bda9
Homepage: https://cran.r-project.org/package=interactionRCS
Description: CRAN Package 'interactionRCS' (Calculate Estimates in Models with Interaction)
 A tool to calculate and plot estimates from models in which an interaction
 between the main predictor and a continuous covariate has been specified.
 Methods used in the package refer to Harrell Jr FE (2015,
 ISBN:9783319330396); Durrleman S, Simon R. (1989)
 <doi:10.1002/sim.4780080504>; Greenland S. (1995)
 <doi:10.1097/00001648-199507000-00005>.

Package: r-cran-interactions
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2452
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cli, r-cran-generics, r-cran-broom, r-cran-jtools, r-cran-rlang, r-cran-tibble
Suggests: r-cran-cowplot, r-cran-broom.mixed, r-cran-glue, r-cran-huxtable, r-cran-lme4, r-cran-margins, r-cran-sandwich, r-cran-survey, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-interactions_1.2.0-1.ca2004.1_all.deb
Size: 1763620
MD5sum: 8d4a3fb44df18f7a5a1c877e49d2f627
SHA1: 13f8f929d8317aeeeed6294b1e0bcd0396500102
SHA256: 1c6f8ff5b445877cc961ab9ff6a59dc3b2fe9b26d28db56dbc362baaca4eb93e
SHA512: f6fdf370540c1184f87430cfac6fa428abe74c1b216a1aabc6fd72bfe300dc40c66cc13b075cdc6eefcd04041cdf96aaeb2cba3092ac4dc6f6a110c552b8b017
Homepage: https://cran.r-project.org/package=interactions
Description: CRAN Package 'interactions' (Comprehensive, User-Friendly Toolkit for Probing Interactions)
 A suite of functions for conducting and interpreting analysis of statistical
 interaction in regression models that was formerly part of the 'jtools'
 package. Functionality includes visualization of two- and three-way
 interactions among continuous and/or categorical variables as well as
 calculation of "simple slopes" and Johnson-Neyman intervals (see e.g., Bauer
 & Curran, 2005 <doi:10.1207/s15327906mbr4003_5>). These capabilities are
 implemented for generalized linear models in addition to the standard linear
 regression context.

Package: r-cran-interactiontest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-interactiontest_1.2-1.ca2004.1_all.deb
Size: 39868
MD5sum: ded4e7e00d1b49669671718cad1b4fae
SHA1: be7a9d7289ed530ac31b952b0496d8a7c817a873
SHA256: c373851b6d451fcbf1108856352c6de11db2955d068681e59a8b4ecc2de1e3ef
SHA512: 474fcda05e44b4a44a6e811e9d5e8970428cea094e04f12795df026f84441e3450eb10871f3ea699508c5ba5fe104c40a8b8515d783a266a836c25d0f18fdc7c
Homepage: https://cran.r-project.org/package=interactionTest
Description: CRAN Package 'interactionTest' (Calculates Critical Test Statistics to Control False DiscoveryRates in Marginal Effects Plots)
 Implements the procedures suggested in Esarey and Sumner (2017)
 <http://justinesarey.com/interaction-overconfidence.pdf> for controlling the
 false discovery rate when constructing marginal effects plots for models
 with interaction terms.

Package: r-cran-interactiveigraph
Architecture: all
Version: 1.0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-interactiveigraph_1.0.6.1-1.ca2004.1_all.deb
Size: 323676
MD5sum: 348cc9303b8d81d05cccffcc74346103
SHA1: 904270c6c1aa039ec95d593564be4905f0459cb2
SHA256: 3128708903b4de5842d23b23c01f59328a90cf7025cf43b41621a3614bcf1d92
SHA512: a38137b7063e4d77d33943d941542bb386166e3396311a1bba1917d09017ca68c5579803432a07a6ffcdf74cc75936b7f31a0dc60a45e159a8e5cbf2507feae8
Homepage: https://cran.r-project.org/package=InteractiveIGraph
Description: CRAN Package 'InteractiveIGraph' (interactive network analysis and visualization)
 An extension of the package 'igraph'. This package create possibly to work
 with 'igraph' objects interactively.

Package: r-cran-interatrix
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-doparallel, r-cran-foreach, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-interatrix_1.1.5-1.ca2004.1_all.deb
Size: 297588
MD5sum: ab71f912ab5656ec7245f0e59d2141cd
SHA1: 938ad83828678255781266196fa8548e937d6147
SHA256: 22e3fbb77f679d6ec3635ec293b605d1dfaa625e6033d1efde045c1d1c7bd53b
SHA512: cbf7cbffc38eb757eecedd0a867896a77645e01e8713b74046321038d7f88f2afae337d7d67a449eef71a90befabae1046795acd465f7cbd03097e64dce9a2a7
Homepage: https://cran.r-project.org/package=Interatrix
Description: CRAN Package 'Interatrix' (Compute Chi-Square Measures with Corrections)
 Chi-square tests are computed with corrections.

Package: r-cran-interca
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dt, r-cran-shiny, r-cran-shinyfeedback, r-cran-waiter, r-cran-dplyr, r-cran-ggrepel, r-cran-magrittr, r-cran-openxlsx, r-cran-shinywidgets, r-cran-readr, r-cran-readxl, r-cran-factominer, r-cran-factoextra, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-interca_0.1.2-1.ca2004.1_all.deb
Size: 32912
MD5sum: bea1bab9aef873c2fed95f1563fcaf12
SHA1: 77cd8e839c699fe1817a4ff7eebf4e0eb5d5e791
SHA256: 9707e40290050c48b189e47ab53abdd60fc0ba224a9031776f03fc52825e63bd
SHA512: 84fb938f8783c8754ba6b0638a3d51824ecf850898c4edd09bd48cba693fcecc833e754ede945df1016f6e91302523b3d6a64adbdf5fa43ecd33cd050a77dc04
Homepage: https://cran.r-project.org/package=interca
Description: CRAN Package 'interca' (Multiple Correspondence Analysis Based on InterpretiveCoordinates)
 Various functions and a Shiny app to enrich the results of Multiple
 Correspondence Analysis with interpretive axes and planes (see Moschidis,
 Markos, and Thanopoulos, 2022; <doi:10.1108/ACI-07-2022-0191>).

Package: r-cran-interd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-biobase, r-cran-rcpp, r-cran-limsolve, r-cran-cowplot, r-cran-ggplot2, r-cran-pheatmap, r-cran-desctools, r-cran-mgcv, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interd_0.1.1-1.ca2004.1_all.deb
Size: 73348
MD5sum: 25f102ab03c6ac64f4186dac9589e56c
SHA1: ec9bf029d4304f50a10e64044aeafc39cc7e4f14
SHA256: c337a597df90c15fce210ea1fe3c90961c5a073e866dbb04b471c0c440baf132
SHA512: 4e76d5da540660250ffa5da5cb39791946517fb66aab33abcd5cd2a8ebed9909a9cb067f24a92c6ef8268e699fa5a13f17bf45a569a24efd1dbb50b6ad0d3248
Homepage: https://cran.r-project.org/package=InteRD
Description: CRAN Package 'InteRD' (The Integrated and Robust Deconvolution)
 We developed the Integrated and Robust Deconvolution algorithm to infer
 cell-type proportions from target bulk RNA-seq data. This package is able to
 effectively integrate deconvolution results from multiple scRNA-seq datasets
 and calibrates estimates from reference-based deconvolution by taking into
 account extra biological information as priors. Moreover, the proposed
 algorithm is robust to inaccurate external information imposed in the
 deconvolution system.

Package: r-cran-interface
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-box, r-cran-rcmdcheck, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-interface_0.1.2-1.ca2004.1_all.deb
Size: 85644
MD5sum: 09de40dbc3f1558dd8752ba6d20c55ac
SHA1: 043a987192bcc8260b55c19c8560311959d2ab2b
SHA256: 56e5ed8c5ad306bb7cf3e1c8b05e2020e0ea63b0be527a5997f29a45e613b880
SHA512: 6159b2b58d720938a8874427ed2d567a8b32d9fe91cdf050e92ca175b8c4b1adf6080a9483640907cc8e733a7e4e0494d2ef43271ee71b36eca7c5dd42af0dd5
Homepage: https://cran.r-project.org/package=interface
Description: CRAN Package 'interface' (Runtime Type System)
 Provides a runtime type system, allowing users to define and implement
 interfaces, enums, typed data.frame/data.table, as well as typed functions.
 This package enables stricter type checking and validation, improving code
 structure, robustness and reliability.

Package: r-cran-interfaceqpcr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 879
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reshape2, r-cran-tkrplot, r-cran-xlsx, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interfaceqpcr_1.0.1-1.ca2004.1_all.deb
Size: 797044
MD5sum: 8b86cb7eb96cac7703874a1b795c7e07
SHA1: c8ece77303f8e200e07503124ee34d22fafed632
SHA256: 8d25d676c171e0d4f77bb99e5a615842fcaf9d3f9e6322ee2ba8765e805d3b7b
SHA512: 9db79468e6701edec53561605ce5e7e0bb3ebe1a9e0036d78af2d3c7cc4944907421724e621e923950c6ef6fd63b786af582fa17d68c7dd9773407a8b5461ab8
Homepage: https://cran.r-project.org/package=InterfaceqPCR
Description: CRAN Package 'InterfaceqPCR' (GUI to Analyse qPCR Results after PMA Treatment or not)
 Graphical User Interface allowing to determine the concentration in the
 sample in CFU per mL or in number of copies per mL provided to qPCR results
 after with or without PMA treatment. This package is simply to use because
 no knowledge in R commands is necessary. A graphic represents the standard
 curve, and a table containing the result for each sample is created.

Package: r-cran-interfacer
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-stringr, r-cran-forcats, r-cran-knitr, r-cran-digest, r-cran-roxygen2
Suggests: r-cran-rmarkdown, r-cran-devtools, r-cran-ggplot2, r-cran-testthat, r-cran-fs, r-cran-readr, r-cran-usethis, r-cran-whisker, r-cran-clipr, r-cran-tidyr, r-cran-binom, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-interfacer_0.3.3-1.ca2004.1_all.deb
Size: 258440
MD5sum: dc43ec7d577c7a6c920a026e045388c9
SHA1: ff0b3d2f91fcb317ea2dbee8837e99cc76ac1cbe
SHA256: 71e176de4de267341d54fe0b6d2e0771cd263348812687597b6911d2767e0e8b
SHA512: 47202357eeaf681e672eb22196bdc8745185c99a87619a6bd12b0e395122c16e20cb2b6defd284fe7889ca63c9be2c01d1ee0039d8ea3209548febb82b40529e
Homepage: https://cran.r-project.org/package=interfacer
Description: CRAN Package 'interfacer' (Define and Enforce Contracts for Dataframes as FunctionParameters)
 A dataframe validation framework for package builders who use dataframes as
 function parameters. It performs checks on column names, coerces data-types,
 and checks grouping to make sure user inputs conform to a specification
 provided by the package author. It provides a mechanism for package authors
 to automatically document supported dataframe inputs and selectively
 dispatch to functions depending on the format of a dataframe much like S3
 does for classes. It also contains some developer tools to make working with
 and documenting dataframe specifications easier. It helps package developers
 to improve their documentation and simplifies parameter validation where
 dataframes are used as function parameters.

Package: r-cran-interferenceci
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-interferenceci_1.1-1.ca2004.1_all.deb
Size: 77044
MD5sum: dc99244f38e76457c5e20e960e44d77a
SHA1: da496b5a7623309641610e5bbe8a2141c9bccb30
SHA256: b61890ea735db69793e27ed899895324f1637dfc76f3db0747e3e05c4a2ba4ff
SHA512: b950430fd2ed2c9a0ced5687b22692d281625bc1a7ef84f1eddcddb0761143bb2c4ff681e493708940a107e79a9ec6ca36b9a6d6c035a40421e62c96c35027de
Homepage: https://cran.r-project.org/package=interferenceCI
Description: CRAN Package 'interferenceCI' (Exact Confidence Intervals in the Presence of Interference)
 Computes large sample confidence intervals of Liu and Hudgens (2014), exact
 confidence intervals of Tchetgen Tchetgen and VanderWeele (2012), and exact
 confidence intervals of Rigdon and Hudgens (2014) for treatment effects on a
 binary outcome in two-stage randomized experiments with interference.

Package: r-cran-interfr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspec, r-cran-circstats, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-interfr_0.1.0-1.ca2004.1_all.deb
Size: 397200
MD5sum: d465989b8e386e02230a57c461403f35
SHA1: 6fd34138d9f87024f85337c3d3d4ee8c7d0a1620
SHA256: fb049054b4c95a955d49f13ed4bb281dcbfa3adebfd1cab23f9f94c55ac64d80
SHA512: d27146805789711f65ed8330a73d5a8883ad7e9f2b9a6b856fccdef89a8fa414d348dc478131b3ada3543bac8bcc840c8f2845f4e1d3e23c72e5fcde8e420c17
Homepage: https://cran.r-project.org/package=interfr
Description: CRAN Package 'interfr' (Interference Color Charts for Polarized Light Microscopy)
 Computes interference color tables and plots customized Michel-Levy or
 Raith-Sorensen charts. Automatic interpretation of polarized-light
 microscopy images is still under development and will come soon.

Package: r-cran-intergraph
Architecture: all
Version: 2.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-network, r-cran-igraph
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-roxygen2, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-intergraph_2.0-4-1.ca2004.1_all.deb
Size: 138368
MD5sum: 029933aa658bebaec8c792b0d7c99f77
SHA1: aef4690cf5b921658dd13140f7ca2b6db9e60a20
SHA256: f2cf2cce38100682b3c4032ecb9d062e8c4180076106d042ac3d0b40eb4ffd5e
SHA512: 179760a88a1ac1d3c0c69d59caf774ec6e8ca790d6a2ebe0876eba4edecda9d0d95da5a5e78f5d628609a2f4911bbb4ed914ad99a7df8a8fec6594ffcf32185b
Homepage: https://cran.r-project.org/package=intergraph
Description: CRAN Package 'intergraph' (Coercion Routines for Network Data Objects)
 Functions implemented in this package allow to coerce (i.e.  convert)
 network data between classes provided by other R packages.  Currently
 supported classes are those defined in packages: network and igraph.

Package: r-cran-interim
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-interim_0.8.0-1.ca2004.1_all.deb
Size: 57456
MD5sum: f0422253ec5063a48225e4fd4d94e0f2
SHA1: f3c0e5115543c923873947125e79c0bd46ac2a07
SHA256: b52fd053afc19f3da12fd1a1810917a2cd2f700af9fb4622b1215c6adb8bd0c1
SHA512: c85224a01d3f85a0e25e6e761e96d0ef41d2eb144b074380714b63aa1dccbfda66ed6fb855ed13e45919542401ab06bb8f22cfaff004554e191f99a79956002b
Homepage: https://cran.r-project.org/package=interim
Description: CRAN Package 'interim' (Scheduling Interim Analyses in Clinical Trials)
 Allows the simulation of the recruitment and both the event and treatment
 phase of a clinical trial. Based on these simulations, the timing of interim
 analyses can be assessed.

Package: r-cran-interimapp
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-interim, r-cran-shiny, r-cran-shinybs
Filename: pool/dists/focal/main/r-cran-interimapp_0.0.1-1.ca2004.1_all.deb
Size: 49664
MD5sum: ad5098c4627963ec1d4c739d76a20b0c
SHA1: dfdde3a7fd8d3e8f2dc7e54b87cdbe768ec2d532
SHA256: 14d14cff815f2d643881f0efc0399b86659ab4094893ce21ba13719f17fe4de3
SHA512: fc33b96b40fc3a583153063d8ce2e5d79a98995d13fa18dbce158ff3172d312db37951d60a2a5a4f1c5395ce381be6c039996cf90ed1d5aae0bc98c0c86cdbfc
Homepage: https://cran.r-project.org/package=interimApp
Description: CRAN Package 'interimApp' (App for Scheduling Interim Analyses in Clinical Trials)
 Allows an interactive assessment of the timing of interim analyses. The
 algorithm simulates both the recruitment and treatment/event phase of a
 clinical trial based on the package 'interim'.

Package: r-cran-interlinear
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4596
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-reshape2
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interlinear_1.0-1.ca2004.1_all.deb
Size: 359536
MD5sum: 5c4e64d1570ee74c8d7e0c6e1eda11e5
SHA1: 0989c8729b837e258d782956690ed3f40d0e4530
SHA256: 835240b2e9ff20d93ade8f345c9dc7f44c976a7cb6f6e99c1f5a7f1a3f758a07
SHA512: 32bf0bac425bf2c1fa1f2b666e214ae5306a5a9a1650873639596eec24ca14a0fc4f000d30bef76162f373dc757ad4f1a3fd797e438fdafe756d1e97b5cf66e2
Homepage: https://cran.r-project.org/package=interlineaR
Description: CRAN Package 'interlineaR' (Importing Interlinearized Corpora and Dictionaries as Producedby Descriptive Linguistics Software)
 Interlinearized glossed texts (IGT) are used in descriptive linguistics for
 representing a morphological analysis of a text through a
 morpheme-by-morpheme gloss.  'InterlineaR' provide a set of functions that
 targets several popular formats of IGT ('SIL Toolbox', 'EMELD XML') and that
 turns an IGT into a set of data frames following a relational model (the
 tables represent the different linguistic units: texts, sentences, word,
 morphems).  The same pieces of software ('SIL FLEX', 'SIL Toolbox')
 typically produce dictionaries of the morphemes used in the glosses.
 'InterlineaR' provide a function for turning the LIFT XML dictionary format
 into a set of data frames following a relational model in order to represent
 the dictionary entries, the sense(s) attached to the entries, the example(s)
 attached to senses, etc.

Package: r-cran-internl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-forecast, r-cran-mlmetrics
Filename: pool/dists/focal/main/r-cran-internl_0.1.0-1.ca2004.1_all.deb
Size: 17548
MD5sum: 9db114dc03fc64e5b83b64f3f73c3575
SHA1: 0a1a6926c1efb28f2ec9b6923e6f2252c0289758
SHA256: e87e9715423134798a4c608a9985d8d9e7284a356055ce26ab60eeb8e53af219
SHA512: b14deb023deadc3f0f3db89c0a4f78da5175eaec1dbbd6257da4a2950439ce57bf3056bb006b7dd1935f594e8466b457263736c7281001f555c105aeb7446396
Homepage: https://cran.r-project.org/package=InterNL
Description: CRAN Package 'InterNL' (Time Series Intervention Model Using Non-Linear Function)
 Intervention analysis is used to investigate structural changes in data
 resulting from external events. Traditional time series intervention models,
 viz. Autoregressive Integrated Moving Average model with exogeneous
 variables (ARIMA-X) and Artificial Neural Networks with exogeneous variables
 (ANN-X), rely on linear intervention functions such as step or ramp
 functions, or their combinations. In this package, the Gompertz, Logistic,
 Monomolecular, Richard and Hoerl function have been used as non-linear
 intervention function. The equation of the above models are represented as:
 Gompertz: A * exp(-B * exp(-k * t)); Logistic: K / (1 + ((K - N0) / N0) *
 exp(-r * t)); Monomolecular: A * exp(-k * t); Richard: A + (K - A) / (1 +
 exp(-B * (C - t)))^(1/beta) and Hoerl: a*(b^t)*(t^c).This package introduced
 algorithm for time series intervention analysis employing ARIMA and ANN
 models with a non-linear intervention function. This package has been
 developed using algorithm of Yeasin et al.
 <doi:10.1016/j.hazadv.2023.100325> and Paul and Yeasin
 <doi:10.1371/journal.pone.0272999>.

Package: r-cran-interplex
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-intergraph, r-cran-igraph, r-cran-network, r-cran-simplextree, r-cran-reticulate
Suggests: r-cran-igraphdata, r-cran-tda, r-cran-roxygen2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interplex_0.1.2-1.ca2004.1_all.deb
Size: 55016
MD5sum: 4077fb250f3ad273b0be79bc892ab008
SHA1: f6b5349491b979a73c0d8cf1b60af890fc3a01f1
SHA256: 772f13b50531528fe3cb17351a64d0a4b7add7ec264ea81014cf790c97ca653e
SHA512: 587b650627ac8dd384f665db1019d925a98e01aca72da78ba2bbed19d5d5b37e066b8a7daec890379e50d9dcaa7e43bd4f4fb41bc45c928c714a8a45e0a221d4
Homepage: https://cran.r-project.org/package=interplex
Description: CRAN Package 'interplex' (Coercion Methods for Simplicial Complex Data Structures)
 Computational topology, which enables topological data analysis (TDA), makes
 pervasive use of abstract mathematical objects called simplicial complexes;
 see Edelsbrunner and Harer (2010) <doi:10.1090/mbk/069>.  Several R packages
 and other software libraries used through an R interface construct and use
 data structures that represent simplicial complexes, including mathematical
 graphs viewed as 1-dimensional complexes.  This package provides coercers
 (converters) between these data structures.  Currently supported structures
 are complete lists of simplices as used by 'TDA'; the simplex trees of
 Boissonnat and Maria (2014) <doi:10.1007/s00453-014-9887-3> as implemented
 in 'simplextree' and in Python GUDHI (by way of 'reticulate'); and the graph
 classes of 'igraph' and 'network', by way of the 'intergraph' package.

Package: r-cran-interplot
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 637
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-abind, r-cran-arm, r-cran-dplyr, r-cran-purrr, r-cran-interactiontest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mitools, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-interplot_0.2.3-1.ca2004.1_all.deb
Size: 384832
MD5sum: 90671b0663e05e0f8f7c4a30bb46d166
SHA1: bf4cc8ae15f7c69b1b08b6f30480c80a959903bb
SHA256: b2b28d5f56aa08053eebbef427b1ecdc1b3ddf4c42b2ae21e43c5c873dee5ed3
SHA512: a8541d2cf80809af05915bdced46bf45f13afc808b6bb7b668aefdefafc47db7a359389e2165b9bba61bb671cd5f9a7d0711c24f6a6197a87385275692ecc0ff
Homepage: https://cran.r-project.org/package=interplot
Description: CRAN Package 'interplot' (Plot the Effects of Variables in Interaction Terms)
 Plots the conditional coefficients ("marginal effects") of variables
 included in multiplicative interaction terms.

Package: r-cran-interpolater
Architecture: all
Version: 1.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-future.apply, r-cran-future, r-cran-terra, r-cran-pbapply, r-cran-randomforest, r-cran-qmap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-interpolater_1.3-4-1.ca2004.1_all.deb
Size: 172568
MD5sum: dbdaac4b6497926da79b345d908a3be8
SHA1: 8bde3ba2cb51f6bc04667b3ffc0c3539818e8926
SHA256: 53e8659b97d3d7d65d4a5e5f2205d2d42cb66aca90f6c4bffc320457ad4603d9
SHA512: 9b77fe54c71dd0b75833ae1b978e3faab6fa079ff174e1c5ce969666879f7b988cc8f90e78138c975431d983824979470d51ac59abb8114d71ef5c79b76ca881
Homepage: https://cran.r-project.org/package=InterpolateR
Description: CRAN Package 'InterpolateR' (A Comprehensive Toolkit for Fast and Efficient SpatialInterpolation)
 Spatial interpolation toolkit designed for environmental and geospatial
 applications. It includes a range of methods, from traditional techniques to
 advanced machine learning approaches, ensuring accurate and efficient
 estimation of values in unobserved locations.

Package: r-cran-interpretci
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3435
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-rlang, r-cran-ggplot2, r-cran-scales, r-cran-ggbeeswarm, r-cran-patchwork, r-cran-aplot, r-cran-rstudioapi, r-cran-rmarkdown, r-cran-flextable, r-cran-officer, r-cran-english, r-cran-rcolorbrewer, r-cran-moonbook
Suggests: r-cran-knitr, r-cran-paireddata, r-cran-glue
Filename: pool/dists/focal/main/r-cran-interpretci_0.1.1-1.ca2004.1_all.deb
Size: 2316536
MD5sum: 531604a6411d8a9bb77473d30e2a6819
SHA1: ac87b3f360bcb80f6504ad1a6a1c47f3fe45daa1
SHA256: 0a94c305854a0ffd2508aca8e48bddb40601e44632b5dbddaf0129b4c5f6b105
SHA512: a4bdf7e281ed0f8d1322432909d5f8060cc9c2ddeeb651f45e4f4c5437ce75a57da39383dd4b9c03cd223b5d0df821338649c66c4dbc80a42b69799f285667e5
Homepage: https://cran.r-project.org/package=interpretCI
Description: CRAN Package 'interpretCI' (Estimate the Confidence Interval and Interpret Step by Step)
 Estimate confidence intervals for mean, proportion, mean difference for
 unpaired and paired samples and proportion difference. Plot the confidence
 intervals. Generate documents explaining the statistical result step by
 step.

Package: r-cran-interpretmsspectrum
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-envipat, r-cran-plyr
Suggests: r-cran-dbi, r-cran-doparallel, r-cran-foreach, r-bioc-rdisop, r-cran-rsqlite, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-interpretmsspectrum_1.4.5-1.ca2004.1_all.deb
Size: 463860
MD5sum: 4aa63633cb0352baa4e97a5d4d02dd56
SHA1: 74d16d2f16223bb2aee6cdfe6cfa968fad0d03a6
SHA256: bf30dd2a0560d1d6b4695f4e0acfb2b9f5e53f6c6790bb9afb5fa7ba2e4db02a
SHA512: 26fdb4227739769d6b5c077b76cbf4194a82d088c5d58fd51d9d41a93145d2549751b2c6cefcbf22bff39ac05bfe6ff1a52ded1b7076facb93e3d7de16ab40a4
Homepage: https://cran.r-project.org/package=InterpretMSSpectrum
Description: CRAN Package 'InterpretMSSpectrum' (Interpreting High Resolution Mass Spectra)
 High resolution mass spectrometry yields often large data sets of spectra
 from compounds which are not present in available libraries. These spectra
 need to be annotated and interpreted.  'InterpretMSSpectrum' provides a set
 of functions to perform such tasks for Electrospray-Ionization and
 Atmospheric-Pressure-Chemical-Ionization derived data in positive and
 negative ionization mode.

Package: r-cran-interpretr
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-randomforest, r-cran-auc
Filename: pool/dists/focal/main/r-cran-interpretr_0.2.5-1.ca2004.1_all.deb
Size: 33452
MD5sum: fe9872ddc4cbb85111234e14700b6ee9
SHA1: 96a1c54754a1cd3cc2fe69d583a731327f02729a
SHA256: 5ecb98ee8c76b1fa9145a151f2814cbfca99f93bc9b099f4a485ec1b22d4b059
SHA512: 0c38e6e672d1ef6c493e3402a77d34eb815161b46a8a5e0ce8a3f05e2f335c5a8ef15d1ef61def51332074ab0688dfa21de20b819dc0164abc3f6dfede802df0
Homepage: https://cran.r-project.org/package=interpretR
Description: CRAN Package 'interpretR' (Binary Classifier and Regression Model Interpretation Functions)
 Compute permutation- based performance measures and create partial
 dependence plots for (cross-validated) 'randomForest' and 'ada' models.

Package: r-cran-inters
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fixest, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-lmtest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inters_0.2.0-1.ca2004.1_all.deb
Size: 159008
MD5sum: eed3b08461f2dbb12c777ce361ed899b
SHA1: 18820dc12e1550abca0ef79dcd2e9860c8d8e3a7
SHA256: a1e92457a1a3bf4bdb551b9e7a230a011149314997f0cb5fbda8a9e6cbe088d7
SHA512: 29fb6304dfe85353f021a6a70fc06fddb5c610a8fe97c6f4aa4a999b43bcdb3f9fcb67587c4284dfc484a72f9ed553b11c4475b24af1defd2b0db7d0ec5fbcc7
Homepage: https://cran.r-project.org/package=inters
Description: CRAN Package 'inters' (Flexible Tools for Estimating Interactions)
 A set of functions to estimate interactions flexibly in the face of possibly
 many controls. Implements the procedures described in Blackwell and Olson
 (2022) <doi:10.1017/pan.2021.19>.

Package: r-cran-intersim
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 904
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-nmf
Filename: pool/dists/focal/main/r-cran-intersim_2.3.0-1.ca2004.1_all.deb
Size: 887700
MD5sum: 4a51fdbd14ad9381089fd7cc9cefe6a9
SHA1: ce1eceac7c4403b31c24187605e7cad00c9686f0
SHA256: 61c28d1794e7d2732716ad876198df0bce5f9a5b21ac2d1471b7a9dadef31da2
SHA512: 5e1e7dfe080796ed78b8bc1923cc735203da94f6ac1d405c1eee0bcdd44cef4d87c9ce7c4ff20068467668de827f04ebcb08cc8670d018bc6459af48a9f43828
Homepage: https://cran.r-project.org/package=InterSIM
Description: CRAN Package 'InterSIM' (Simulation of Inter-Related Genomic Datasets)
 Generates three inter-related genomic datasets: methylation, gene expression
 and protein expression having user specified cluster patterns. The
 simulation utilizes the realistic inter- and intra- relationships from real
 DNA methylation, mRNA expression and protein expression data from the TCGA
 ovarian cancer study, Chalise (2016) <doi:10.1016/j.cmpb.2016.02.011>.

Package: r-cran-interva4
Architecture: all
Version: 1.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-interva4_1.7.6-1.ca2004.1_all.deb
Size: 96116
MD5sum: ec97cdbb34faa44663f8194a981d89bf
SHA1: 2ecd91722b602f39366ce7c897124701facd0d25
SHA256: 9bc93c098c48324c405ca2dbd85c0bf30f74e4be1e931a705859b6c208f12d33
SHA512: 728de75bae05b6a5bbfd391e1f2b6ec1cd76bd2f7d3c31801e537468c57d875d61871dde1ab60e524bad44531209fdb414b52dffa7862fc5eb048eb53b58cb25
Homepage: https://cran.r-project.org/package=InterVA4
Description: CRAN Package 'InterVA4' (Replicate and Analyse 'InterVA4')
 Provides an R version of the 'InterVA4' software (<http://www.interva.net>)
 for coding cause of death from verbal autopsies. It also provides simple
 graphical representation of individual and population level statistics.

Package: r-cran-interva5
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-readxl
Suggests: r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-interva5_1.1.3-1.ca2004.1_all.deb
Size: 224068
MD5sum: f87ebec2ee0e6f34a97a6a863446733d
SHA1: 36afd6f6f28b77455532fbd07c621c16e01fcd60
SHA256: 76167f10f79c60d35ef376d66bffb1fd122d3976255500699ea00ce6c25c6660
SHA512: a17a9622b3c19258a6d3e808a16f27cb067ce29500e8fe22048364f08b428e7d0a9ea7d4b973b1b9783b09d0c307946610cda5add400464c37f8d60ccb296f89
Homepage: https://cran.r-project.org/package=InterVA5
Description: CRAN Package 'InterVA5' (Replicate and Analyse 'InterVA5')
 Provides an R version of the 'InterVA5' software
 (<http://www.byass.uk/interva/>) for coding cause of death from verbal
 autopsies. It also provides simple graphical representation of individual
 and population level statistics.

Package: r-cran-interval
Architecture: all
Version: 1.1-1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-perm, r-bioc-icens, r-cran-mlecens
Suggests: r-cran-coin
Filename: pool/dists/focal/main/r-cran-interval_1.1-1.0-1.ca2004.1_all.deb
Size: 436684
MD5sum: 02616a66197381c0f0ee1279aa7cdad8
SHA1: b933bf7f8577fe7b590b375a72197daebcfda12a
SHA256: 1a226f59ac8e55e65cf51d67a4473b31d2cefddbb33440f0ec3dc86ddc08df89
SHA512: 7c1f6e364ad8a73217848007f722951a17a29d801754f0bc4f98f47d1139187d799922356db72a4137f4c32a4e13dff078cbf6a84c1d46410007a5b1469e79ea
Homepage: https://cran.r-project.org/package=interval
Description: CRAN Package 'interval' (Weighted Logrank Tests and NPMLE for Interval Censored Data)
 Functions to fit nonparametric survival curves, plot them, and perform
 logrank or Wilcoxon type tests [see Fay and Shaw
 <doi:10.18637/jss.v036.i02>].

Package: r-cran-intervalquestionstat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-intervalquestionstat_0.2.0-1.ca2004.1_all.deb
Size: 366552
MD5sum: 43adbefd0447fae5e70c394e9110f3b0
SHA1: 25be6917b278ba25148545c0e41b0ae1ab6d999b
SHA256: 38876207a315d3349a2d8b1d2e4e1709e24995a7cb9ce6f0bb6a0cecac4eceee
SHA512: e3b623dacf7ac43ac640f1aaea858b4e0b8ce747892ba126976bef127f3c549c38b632b45714a9134ff616a6f8f6e8858bbe9f68d65b27809de854793ec440e9
Homepage: https://cran.r-project.org/package=IntervalQuestionStat
Description: CRAN Package 'IntervalQuestionStat' (Tools to Deal with Interval-Valued Responses in Questionnaires)
 A user-friendly toolbox for doing the statistical analysis of
 interval-valued responses in questionnaires measuring intrinsically
 imprecise human attributes or features (attitudes, perceptions, opinions,
 feelings, etc.). In particular, this package provides S4 classes, methods,
 and functions in order to compute basic arithmetic and statistical
 operations with interval-valued data; prepare customized plots; associate
 each interval-valued response to its equivalent Likert-type and visual
 analogue scales answers through the minimum theta-distance and the mid-point
 criteria; analyze the reliability of respondents' answers from the internal
 consistency point of view by means of Cronbach's alpha coefficient; and
 simulate interval-valued responses in this type of questionnaires. The
 package also incorporates some real-life data that can be used to illustrate
 its working with several non-trivial reproducible examples. The methodology
 used in this package is based in many theoretical and applied publications
 from SMIRE+CoDiRE (Statistical Methods with Imprecise Random Elements and
 Comparison of Distributions of Random Elements) Research Group
 (<https://bellman.ciencias.uniovi.es/smire+codire/>) from the University of
 Oviedo (Spain).

Package: r-cran-intervcomp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-intervcomp_0.1.2-1.ca2004.1_all.deb
Size: 108220
MD5sum: 74e1ed0c81acd50170b653e8f0312c17
SHA1: f69015f1ca7a272cd42266b2ee6937ef0b60a368
SHA256: 052e6ecacfce0e5e38c455f7cf9716a8bd236b1600e731b980813b91e3b15282
SHA512: 8b1b79f18a90298f90a3c7245833c2292d13582f9f6240cd7906155a8c6ce7be239f61b9c79b1c7fdca6e75952b099db46aa29955f4703097e1b4c7f9aea4072
Homepage: https://cran.r-project.org/package=intervcomp
Description: CRAN Package 'intervcomp' (Hypothesis Testing Using the Overlapping Interval Estimates)
 Performs hypothesis testing using the interval estimates (e.g., confidence
 intervals). The non-overlapping interval estimates indicates the statistical
 significance. References to these procedures can be found at Noguchi and
 Marmolejo-Ramos (2016) <doi:10.1080/00031305.2016.1200487>, Bonett and Seier
 (2003) <doi:10.1198/0003130032323>, and Lemm (2006)
 <doi:10.1300/J082v51n02_05>.

Package: r-cran-interventionaldbn
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-interventionaldbn_1.2.2-1.ca2004.1_all.deb
Size: 118960
MD5sum: 8f5566c95d6fd6d3c47735b206288d77
SHA1: 331e42120de4633482c2d9709f2d926f86fa8be2
SHA256: 856a3093fde52dd416d037ea6723d3bf3efd9d62b4c72fc291358691c1561b56
SHA512: 0e6b123787a253e4c425396f0b3f208e4056f9b3f8d657eeb91d739c5ccde4846ec45deec48e2dd94a03bf36d024d87ac2b73682f0e9d36ce126bdc0f401cb06
Homepage: https://cran.r-project.org/package=interventionalDBN
Description: CRAN Package 'interventionalDBN' (Interventional Inference for Dynamic Bayesian Networks)
 This package allows a dynamic Bayesian network to be inferred from
 microarray timecourse data with interventions (inhibitors).

Package: r-cran-intextsummarytable
Architecture: all
Version: 3.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10373
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clinutils, r-cran-cowplot, r-cran-flextable, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-officer, r-cran-plyr, r-cran-reshape2, r-cran-scales
Suggests: r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-testthat, r-cran-xml2, r-cran-dplyr, r-cran-tibble, r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-intextsummarytable_3.3.3-1.ca2004.1_all.deb
Size: 2236876
MD5sum: c398430a15c625559aa2442ff051e78d
SHA1: 067085191486a6eb92c49dc37f498d09d7ab12ba
SHA256: 3895b1b9a89b5d43cc5c614b6e807c3343ae1b1dcbf90dd17277ad263f721e53
SHA512: a1ccbbe376944f1ae8c75fa411358e86fe60c181a0d0805942bf95bd06afbef5c28ea66ef2d479362e69bb4b4af4765ccef1b962cc448cde09bfef4306720f71
Homepage: https://cran.r-project.org/package=inTextSummaryTable
Description: CRAN Package 'inTextSummaryTable' (Creation of in-Text Summary Table)
 Creation of tables of summary statistics or counts for clinical data (for
 'TLFs').  These tables can be exported as in-text table (with the
 'flextable' package) for a Clinical Study Report (Word format) or a
 'topline' presentation (PowerPoint format), or as interactive table (with
 the 'DT' package) to an html document for clinical data review.

Package: r-cran-inti
Architecture: all
Version: 0.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3044
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-lme4, r-cran-agricolae, r-cran-factominer, r-cran-emmeans, r-cran-purrr, r-cran-stringr, r-cran-googlesheets4, r-cran-dt
Suggests: r-cran-gsheet, r-cran-cowplot, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-inti_0.6.7-1.ca2004.1_all.deb
Size: 1725676
MD5sum: 8c11f55ff9ea79533ff0e995d9e75acf
SHA1: 0f3454ae64399eebe999d25a268800127277f4cd
SHA256: f209dbe7556b1e421cff77ec4ea8013e8fef5f428f2cb37e5982a93339372469
SHA512: f37b9b5acc1d0302edc23f2815edff8ca4f1a0d07b07194764b790bb520fea5f557538105c86f124cf5ff443dbfad273667f7f00fae41a2512dc2aea720c6ff9
Homepage: https://cran.r-project.org/package=inti
Description: CRAN Package 'inti' (Tools and Statistical Procedures in Plant Science)
 The 'inti' package is part of the 'inkaverse' project for developing
 different procedures and tools used in plant science and experimental
 designs.  The mean aim of the package is to support researchers during the
 planning of experiments and data collection (tarpuy()), data analysis and
 graphics (yupana()) , and technical writing.  Learn more about the
 'inkaverse' project at <https://inkaverse.com/>.

Package: r-cran-intlik
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik
Filename: pool/dists/focal/main/r-cran-intlik_1.0-1.ca2004.1_all.deb
Size: 22532
MD5sum: ca8876660801ec4c732ecbbb6259548e
SHA1: fdc0d9f3f91c3ab81e11a1aeb1cc386b1291f7a6
SHA256: 575ae0f9cc0e401d8ae0a000a8dddb15ea192a003be3dce0c6992410174deb69
SHA512: 37390fb115308791ef7ec36644fa702595dd73686141d1ac5d38d2bb48765b61f1c2a228932365109a5d65019ef4eed935768004a0945cfc311a64c63aac71cd
Homepage: https://cran.r-project.org/package=IntLik
Description: CRAN Package 'IntLik' (Numerical Integration for Integrated Likelihood)
 This package calculates the integrated likelihood numerically. Given the
 Likelihood function and the prior function, this package integrates out the
 nuisance parameters by Metropolis-Hastings (MCMC) Algorithm.

Package: r-cran-intlim
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3363
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-complexheatmap, r-cran-dt, r-cran-ggplot2, r-cran-heatmaply, r-cran-highcharter, r-cran-htmltools, r-cran-kernsmooth, r-cran-margins, r-cran-mass, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyfiles, r-cran-shinyjs, r-cran-testthat
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-intlim_2.0.2-1.ca2004.1_all.deb
Size: 1187432
MD5sum: 88eaad7ab4af158fbf70a93725b74ea7
SHA1: 060b5a6458cf5607c846967609e508d7b4ab0838
SHA256: f097401c7e2fb84e62ba66bd178373957393eb1ae75c773a5f43453dd31e649b
SHA512: b43198f39fac89a6fe2fdfa500212faaaf327b4cb614214bbcb5e369819cc5d5ee38752a9199c83848245bec040c6a7b96b8e0783228f020864c5a9ed006eecd
Homepage: https://cran.r-project.org/package=IntLIM
Description: CRAN Package 'IntLIM' (Integration of Omics Data Using Linear Modeling)
 This workflow takes analyte levels from two different types of analytes
 (e.g. gene expression and metabolite abundance), meta-information on each
 analyte type, and sample outcome and metadata to identify analyte pairs that
 are significantly associated with a continuous or discrete outcome (e.g.
 drug response or tumor type). The following references describe the methods
 in this package: (1) Jalal K. Siddiqui, et al. (2018)
 <doi:10.1186/s12859-018-2085-6>, (2) Andrew Patt, et al. (2019)
 <doi:10.1007/978-1-4939-9027-6_23>.

Package: r-cran-intmed
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-mass, r-cran-mice, r-cran-dplyr, r-cran-tibble, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-intmed_0.1.2-1.ca2004.1_all.deb
Size: 141084
MD5sum: 1e99794ba0bebe65ce4859bed650e557
SHA1: 85dad43f6b38333d3d566d0ee7a10b5fd2637c61
SHA256: 0585132e79a0293190b1874c8ce029092d3c2c08241c3cdc26fa50fa6512f979
SHA512: aeb12819884fa5262ac248f4679a6a6b3512a046c2b317d240c1d2fde56b839a06109799720a0d3c9918f4cad950ce6c1fc6f40ddbf33c66579526adfdfbae39
Homepage: https://cran.r-project.org/package=intmed
Description: CRAN Package 'intmed' (Mediation Analysis using Interventional Effects)
 Implementing the interventional effects for mediation analysis for up to 3
 mediators.  The methods used are based on VanderWeele, Vansteelandt and
 Robins (2014) <doi:10.1097/ede.0000000000000034>, Vansteelandt and Daniel
 (2017) <doi:10.1097/ede.0000000000000596> and Chan and Leung (2020;
 unpublished manuscript, available on request from the author of this
 package).  Linear regression, logistic regression and Poisson regression are
 used for continuous, binary and count mediator/outcome variables
 respectively.

Package: r-cran-intnmf
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-nmf, r-cran-mclust, r-cran-cluster, r-cran-intersim
Filename: pool/dists/focal/main/r-cran-intnmf_1.3.0-1.ca2004.1_all.deb
Size: 67200
MD5sum: f7ce9f23d824934da55800cc0465fffc
SHA1: 9ba1ebada76705f023db7bc49874ac9cdf14848c
SHA256: e7b4f9587e2c4a7fd78b7ee9d9e9bdfbf88deba5104c9b040da60491ef2f8fe5
SHA512: 9d58a65a44b5ff33d105ced44235e42982c6760f0338cf6e43905861a0002d0bc498d440e4dc6774d5abd06468bf0b298ceb0d07bc8ddd0f20ca0b830d1a861c
Homepage: https://cran.r-project.org/package=IntNMF
Description: CRAN Package 'IntNMF' (Integrative Clustering of Multiple Genomic Dataset)
 Carries out integrative clustering analysis using multiple types of genomic
 dataset using integrative Non-negative Matrix factorization.

Package: r-cran-intradaymodel
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 740
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-patchwork, r-cran-reshape2, r-cran-scales, r-cran-xts, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-cleanrmd, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-intradaymodel_0.0.1-1.ca2004.1_all.deb
Size: 502024
MD5sum: eaab7241134d1a05de482384a2e1e94d
SHA1: 6c6b33a528e610ca3a412d53af156352bf422d78
SHA256: 3e8c762bedb69799663d0f9599c0a612ffde6e465bad658589e4e8115b5b5a00
SHA512: 36a8299857b837161549bdcd35fe7b52429e2e722489ac1bb0accaea6e29500432c9a897836ba2ec9f20b6f82b12a24ad85daaadbcfbbb3044b72a0d52163b7a
Homepage: https://cran.r-project.org/package=intradayModel
Description: CRAN Package 'intradayModel' (Modeling and Forecasting Financial Intraday Signals)
 Models, analyzes, and forecasts financial intraday signals. This package
 currently supports a univariate state-space model for intraday trading
 volume provided by Chen (2016) <doi:10.2139/ssrn.3101695>.

Package: r-cran-intrees
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rrf, r-cran-arules, r-cran-gbm, r-cran-xtable, r-cran-xgboost, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-intrees_1.4-1.ca2004.1_all.deb
Size: 104408
MD5sum: 192cca187d2cfc2d2f6f7ea55402aa0d
SHA1: b84f6a2d49968590eecf3327e12daf8f97934b71
SHA256: 12b12bf50f69828ec4b7e3acac3e7f7289fb05be963d2c9afdba59445e298095
SHA512: 9c289f937efbe5d8c4fe389cfa0fb81b73b3bc56bc671ad6a3d9b5712b1cb1d5d5caf83f7534330ed409011ef2085d9cf8aba13f0d53641d9391202208514ef5
Homepage: https://cran.r-project.org/package=inTrees
Description: CRAN Package 'inTrees' (Interpret Tree Ensembles)
 For tree ensembles such as random forests, regularized random forests and
 gradient boosted trees, this package provides functions for: extracting,
 measuring and pruning rules; selecting a compact rule set; summarizing rules
 into a learner; calculating frequent variable interactions; formatting rules
 in latex code.  Reference: Interpreting tree ensembles with inTrees (Houtao
 Deng, 2019, <doi:10.1007/s41060-018-0144-8>).

Package: r-cran-intrigue
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-squarem, r-cran-dplyr, r-cran-rlist
Filename: pool/dists/focal/main/r-cran-intrigue_0.1.0-1.ca2004.1_all.deb
Size: 75848
MD5sum: 055cd578656b39226fc21cf545f76506
SHA1: b502944efbde4f557ab54538c7087209343a2064
SHA256: 54bf9159681e0bb4b6bbf3b7bf7237d2c00fc7f7a350bf1d0f4620e4586433ec
SHA512: 93abbe5eb50df688a8afacb8af01e8e70bd891976c1e388c0f1f53a4d7c38b4b2c2d6ad67e732d5133c73626c072e7eb0dc9475decce2668f88267897ca5f5a1
Homepage: https://cran.r-project.org/package=INTRIGUE
Description: CRAN Package 'INTRIGUE' (Quantify and Control Reproducibility in High-ThroughputExperiments)
 Estimate the proportions of the null and the reproducibility and
 non-reproducibility of the signal group for the input data set. The Bayes
 factor calculation and EM (Expectation Maximization) algorithm procedures
 are also included.

Package: r-cran-intrinsicdimension
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaimpute
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-intrinsicdimension_1.2.0-1.ca2004.1_all.deb
Size: 212800
MD5sum: 60078773e1367bec2b25922ce090f86b
SHA1: e3153f2850c2b0fd9f6db77bf767a8a28b1b6cd6
SHA256: 25175ef227b84a10baa325f0b48110839f6fee32bb8098903c10cd3a6353401a
SHA512: 9e60f677d0cbb8f4a1c69e9e2b5c7b7300a901987dcc09dd4e5b3d0c6ebb2f7868951111b447909ef5954abf9d54071030bd37e561828aa433026c61cc2bc2a5
Homepage: https://cran.r-project.org/package=intrinsicDimension
Description: CRAN Package 'intrinsicDimension' (Intrinsic Dimension Estimation)
 A variety of methods for estimating intrinsic dimension of data sets (i.e
 the manifold or Hausdorff dimension of the support of the distribution that
 generated the data) as reviewed in Johnsson, K. (2016,
 ISBN:978-91-7623-921-6) and Johnsson, K., Soneson, C. and Fontes, M. (2015)
 <doi:10.1109/TPAMI.2014.2343220>. Furthermore, to evaluate the performance
 of these estimators, functions for generating data sets with given intrinsic
 dimensions are provided.

Package: r-cran-intrinsickappa
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-intrinsickappa_0.1-1.ca2004.1_all.deb
Size: 203980
MD5sum: 12ab5926677fbbcb00c6ccad0947df51
SHA1: 833ee6f3b8aecc9bcfa216c1fef857ef0edcd0b3
SHA256: 84c8ec784fdc839b1292a4cee2664526a78bf0cb30dcc641e8b1e959a180b49c
SHA512: 597cc5b72e91944baa3b7e4a31a79801e2a61bc27e5db2ae29d434d3005de6f5b21d6c29b2f6be7cda7a676816cffc0571eaf182aaec0e400460a594b71cff44
Homepage: https://cran.r-project.org/package=intrinsicKappa
Description: CRAN Package 'intrinsicKappa' (Sample Size Planning Based on Intrinsic Kappa Value)
 Kappa statistics is one of the most used methods to evaluate the
 effectiveness of inpsections based on attribute assessments in industry.
 However, its estimation by available methods does not provide its "real" or
 "intrinstic" value. This package provides functions for the computation of
 the intrinsic kappa value as it is described in: Rafael Sanchez-Marquez,
 Frank Gerhorst and David Schindler (2023) "Effectiveness of quality
 inspections of attributive characteristics – A novel and practical method
 for estimating the “intrinsic” value of kappa based on alpha and beta
 statistics." <doi:10.1016/j.cie.2023.109006>.

Package: r-cran-introgress
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-genetics, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-introgress_1.2.3-1.ca2004.1_all.deb
Size: 214740
MD5sum: 5d1e0a7f3123834189252438de6f254c
SHA1: 1e325c8b6e1a5af22d24ed93b6569fe684672af6
SHA256: 8a4b13e5ecd169296cc260d40e016b829beb0cf0b2de44287473dc88ccd3b71f
SHA512: b120dfbf74209f1c449cb63347f3e8c6d3e7083ff5c211356930b632ce59a7dcae88580cebcd35cbe8c04ee06d1b13e898f3f44ec511a0f3429241a6cd7113c1
Homepage: https://cran.r-project.org/package=introgress
Description: CRAN Package 'introgress' (methods for analyzing introgression between divergent lineages)
 introgress provides functions for analyzing introgression of genotypes
 between divergent, hybridizing lineages, including estimating genomic clines
 from multi-locus genotype data and testing for deviations from neutral
 expectations. Functions are also provided for maximum likelihood estimation
 of molecular hybrid index and graphical analysis.

Package: r-cran-intrval
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-intrval_0.1-3-1.ca2004.1_all.deb
Size: 49524
MD5sum: ae056270d51b5881ddb305bbb5a54159
SHA1: 4d74d32e99e03929b79dec528bc0fb54e3a258ea
SHA256: 8a6ecd9bb146eddd766387df22bfc174544b8c3f7f5114cf2812961af4b17c9e
SHA512: 0b4397478aee9796508b8ccbae74fff150d339b390652fd6227761ba98adad77986b342a1f51744bd74e1b0bc66fbc80c238f9a702c0ab13b7e21bbebb6d13af
Homepage: https://cran.r-project.org/package=intrval
Description: CRAN Package 'intrval' (Relational Operators for Intervals)
 Evaluating if values of vectors are within different open/closed intervals
 (`x %[]% c(a, b)`), or if two closed intervals overlap (`c(a1, b1) %[]o[]%
 c(a2, b2)`).  Operators for negation and directional relations also
 implemented.

Package: r-cran-intrvals
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-intrvals_1.0.1-1.ca2004.1_all.deb
Size: 143644
MD5sum: d6fbada453974e3652acef0e4a881664
SHA1: e48da39670678956671db9de771e68734f1a17bf
SHA256: bbe3cbbae70e7e0e8619502d511ed0f1b1bf08d2915070f13a98c96525d99240
SHA512: da42577bf293538cc6659070ceb2a5415a87c2c73df9184608453b7b60b6bf6396671a9494b000f3d559dd3a9a94c491384b47901bbf0d86191e7a4e9580aaef
Homepage: https://cran.r-project.org/package=intRvals
Description: CRAN Package 'intRvals' (Analysis of Time-Ordered Event Data with Missed Observations)
 Calculates event rates and compares means and variances of groups of
 interval data corrected for missed arrival observations.

Package: r-cran-intsdm
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-terra, r-cran-sf, r-cran-pointedsdms, r-cran-r6, r-cran-geodata, r-cran-fmesher, r-cran-inlabru, r-cran-giscor, r-cran-blockcv, r-cran-rgbif, r-cran-tidyterra, r-cran-units
Suggests: r-cran-viridis, r-cran-r.utils, r-cran-lwgeom, r-cran-spatstat, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-intsdm_2.1.1-1.ca2004.1_all.deb
Size: 225680
MD5sum: b14819b842180794e8e54eb51863986b
SHA1: cf0d4774286f7e4e192cc2a769aee70c987d3012
SHA256: 345512ed5f77e19b204e8f25b16b74b2043b03575740b87adf72a1c28f847789
SHA512: 08ad42b41f9cdd717f11d0f1f6c90f587274325eb62dd0370a8ec4ce5cc8db68e6164fc30fd6587bfca60aee5c8fa0a3d8f1fe858eb15b1344467f7274aafe41
Homepage: https://cran.r-project.org/package=intSDM
Description: CRAN Package 'intSDM' (Reproducible Integrated Species Distribution Models AcrossNorway using 'INLA')
 Integration of disparate datasets is needed in order to make efficient use
 of all available data and thereby address the issues currently threatening
 biodiversity.  Data integration is a powerful modeling framework which
 allows us to combine these datasets together into a single model, yet retain
 the strengths of each individual dataset.  We therefore introduce the
 package, 'intSDM': an R package designed to help ecologists develop a
 reproducible workflow of integrated species distribution models, using data
 both provided from the user as well as data obtained freely online.  An
 introduction to data integration methods is discussed in Issac, Jarzyna,
 Keil, Dambly, Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita,
 Henrys, Jarvis, Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara
 (2020) <doi:10.1016/j.tree.2019.08.006>.

Package: r-cran-intsurvbin
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-tmvtnorm, r-cran-mvtnorm, r-cran-mhadaptive, r-cran-mgcv
Suggests: r-cran-smoothmest
Filename: pool/dists/focal/main/r-cran-intsurvbin_0.0.4-1.ca2004.1_all.deb
Size: 52940
MD5sum: 5f2423e0371f725a72ff7336e161a94a
SHA1: 5a4718d16964433b69e80f8d3f7bc6941f2b16d8
SHA256: dc83cfbadf4cd22f48190c029cbbbda60ac477bdc8620e465fd2b231eeb45073
SHA512: e6cc3bd82a392d874abf9266817c538563ec4a948e61e4118ab4dd3c6d9372e8c354fc6346f569fee6d0f1db07930da53cbd52318c6099bad2f0d97c076e54fe
Homepage: https://cran.r-project.org/package=intsurvbin
Description: CRAN Package 'intsurvbin' (Survival and Binary Data Integration)
 Function to implement the horseshoe shrinkage prior in integrated survival
 and binary regression as developed in Maity et. al. (2019)
 <doi:10.1111/rssc.12377>.

Package: r-cran-intsvy
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-foreign, r-cran-ggplot2, r-cran-hmisc, r-cran-memisc, r-cran-plyr, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-intsvy_2.9-1.ca2004.1_all.deb
Size: 326464
MD5sum: b3a38a9e396d14d04a3cdd0a67e218e2
SHA1: 91be91b0686933ee4f6a7b4407de0071a97ea2c1
SHA256: 202018158576b09351639a709adc947bae260827ad11db56093de120d9dfd4dd
SHA512: 29f8ec0104ecf90c90e0facb858167b628cb90235d5fb8c382846d22768db5a277e63c46f97749974ec2a646e36695458d031312668c353c41507babbe12f899
Homepage: https://cran.r-project.org/package=intsvy
Description: CRAN Package 'intsvy' (International Assessment Data Manager)
 Provides tools for importing, merging, and analysing data from international
 assessment studies (TIMSS, PIRLS, PISA, ICILS, and PIAAC).

Package: r-cran-intubate
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1728
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-intubate_1.0.0-1.ca2004.1_all.deb
Size: 733000
MD5sum: 6c8c4df90541a15c6cb9304de4f1d073
SHA1: d48dfabf810bb4687f69aa8f5302e0eb6e236c45
SHA256: 62af64eaebf07832493418b2e6abb8b31a4bd46114d3b773cce8e75d81aadcfd
SHA512: 83f4da09a4927855bf6f77b51a1d20ff8e0239000988e43b92902a9efa09808e755ea46a730bc81d40aa91dd03140381f283940c49cd95de32a7e6ce70dc6370
Homepage: https://cran.r-project.org/package=intubate
Description: CRAN Package 'intubate' (Interface to Popular R Functions for Data Science Pipelines)
 Interface to popular R functions with formulas and data, such as 'lm', so
 they can be included painlessly in data science pipelines implemented by
 'magrittr' with the operator %>%.

Package: r-cran-inum
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-libcoin
Filename: pool/dists/focal/main/r-cran-inum_1.0-5-1.ca2004.1_all.deb
Size: 37828
MD5sum: 88fff0920ac6b937fed82bd4c56dcdd1
SHA1: f9b89f1d59ab052c3d73611743addc5fdbec4697
SHA256: 31b3d7e9a6b796c5eb94e5275fee2886a8e9ab457d65e14fc78bb333af319176
SHA512: e5270f27e3940ab4376c4027c4d2c83b54b7e40760d0d50fefbf34c877726387793be2c48da2827cf080408198cb2699ad8b4c68617d5c85ce704f64852c9b41
Homepage: https://cran.r-project.org/package=inum
Description: CRAN Package 'inum' (Interval and Enum-Type Representation of Vectors)
 Enum-type representation of vectors and representation of intervals,
 including a method of coercing variables in data frames.

Package: r-cran-invacost
Architecture: all
Version: 1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1825
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-earth, r-cran-lmtest, r-cran-mgcv, r-cran-quantreg, r-cran-robustbase, r-cran-sandwich, r-cran-scales
Filename: pool/dists/focal/main/r-cran-invacost_1.1-6-1.ca2004.1_all.deb
Size: 1810228
MD5sum: 733c843398a6b8825a1dc471c277be80
SHA1: bd9ac0e4b0ab19109379ae13d7e19e69e786c916
SHA256: 2b00d36c864b927961ef41c35724d73a1f6a74178f5442506c5dd71ebb01e009
SHA512: 1e6aca7a5ea2c10a8e801e52620d1087e3b33587998a02c3339aa3073d7b8a69983258e5b15757e2588e3c56c8cc9222290745aa189dfe2ec6ef13b449fe24b9
Homepage: https://cran.r-project.org/package=invacost
Description: CRAN Package 'invacost' (Analyse Biological Invasion Costs with the 'InvaCost' Database)
 Provides an up-to-date version of the 'InvaCost' database
 (<doi:10.6084/m9.figshare.12668570>) in R, and several functions to analyse
 the costs of invasive alien species (<doi:10.1111/2041-210X.13929>).

Package: r-cran-invariantcausalprediction
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mboost
Filename: pool/dists/focal/main/r-cran-invariantcausalprediction_0.8-1.ca2004.1_all.deb
Size: 84488
MD5sum: c589aff79f9e3d8877ab12f2da743c21
SHA1: 87fbeb4013f233fb0c1747a856eb11680d643a9d
SHA256: 797acfef791e359428188de9a81dac445cef687be17a9e98262c1e8048426a09
SHA512: 0fd9f41236103a38a82549043a9d3c839a06ad7309f21df42f867acbbe84325f1dbf7805db3d0e33d48f83b43190940068e8a033e01219a75b1484b24f489d16
Homepage: https://cran.r-project.org/package=InvariantCausalPrediction
Description: CRAN Package 'InvariantCausalPrediction' (Invariant Causal Prediction)
 Confidence intervals for causal effects, using data collected in different
 experimental or environmental conditions. Hidden variables can be included
 in the model with a more experimental version.

Package: r-cran-invasioncorrection
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-invasioncorrection_0.1-1.ca2004.1_all.deb
Size: 19888
MD5sum: 79dc3cf3a25d2d9a82ed15056391c69b
SHA1: 18654c0eed40619b75c21885e96567af691f5580
SHA256: 4229e25259d134e1af6b0d41604876a1cba155b981d3bcecc0b4602bd49298b6
SHA512: 581298d088359e3c83defffdab4b757a84b250bb12062ed8a716ab521ef70c0efe0852c3e5bbc23ded61396bd6363b110e7b8f51fbb22bec9ff525cc474c9e44
Homepage: https://cran.r-project.org/package=InvasionCorrection
Description: CRAN Package 'InvasionCorrection' (Invasion Correction)
 The correction is achieved under the assumption that non-migrating cells of
 the essay approximately form a quadratic flow profile due to frictional
 effects, compare law of Hagen-Poiseuille for flow in a tube. The script fits
 a conical plane to give xyz-coordinates of the cells. It outputs the number
 of migrated cells and the new corrected coordinates.

Package: r-cran-invctr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-plyr
Suggests: r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-invctr_0.2.0-1.ca2004.1_all.deb
Size: 116016
MD5sum: ee8bc15fc4988adc08a14423c75d8aaf
SHA1: 319a6ba1ba8868b6b3bb6aa7d08a5e306f01076c
SHA256: 4b891832415565adf075d84c0e625ceaed16ad25f1d8acfa695c22240dbedd87
SHA512: cd3a3e11f397d9dec3fb2318cbd9c24a3dc28d67dacb9099394063949006d1c79d3ca835ef74fef18f2587e209e755641081cc18f11dccd19765eabfce0531ce
Homepage: https://cran.r-project.org/package=invctr
Description: CRAN Package 'invctr' (Infix Functions For Vector Operations)
 Vector operations between grapes: An infix-only package! The 'invctr'
 functions perform common and less common operations on vectors, data frames
 matrices and list objects: - Extracting a value (range), or, finding the
 indices of a value (range).  - Trimming, or padding a vector with a value of
 your choice.  - Simple polynomial regression.  - Set and membership
 operations.  - General check & replace function for NAs, Inf and other
 values.

Package: r-cran-inventorize
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 482
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-plotly, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inventorize_1.1.2-1.ca2004.1_all.deb
Size: 450876
MD5sum: e473bafd13cefd348b56087162a666ec
SHA1: a941723c84ccb4ba50ef6371f8b4372b9d12742d
SHA256: 314f6e3da7e2bdf2cbdd2c206bbeac2ba4d0f6294eec8c2f160e822ed67ded70
SHA512: 0de34248418732ec57f7f485b0c9178fd346d8b1e92dada6b678fe5633451bc4b99e9926e1c568ccca2937de30ea49a4569b8e2f8d7ca0786978f23c76dee947
Homepage: https://cran.r-project.org/package=inventorize
Description: CRAN Package 'inventorize' (Inventory Analytics, Pricing and Markdowns)
 Simulate inventory policies with and without forecasting, facilitate
 inventory analysis calculations such as stock levels and re-order
 points,pricing and promotions calculations.  The package includes
 calculations of inventory metrics, stock-out calculations and ABC analysis
 calculations.  The package includes revenue management techniques such as
 Multi-product optimization,logit and polynomial model optimization.  The
 functions are referenced from : 1-Harris, Ford W. (1913). "How many parts to
 make at once". Factory, The Magazine of Management.  2- Nahmias, S.
 Production and Operations Analysis. McGraw-Hill International Edition.
 3-Silver, E.A., Pyke, D.F., Peterson, R. Inventory Management and Production
 Planning and Scheduling.  4-Ballou, R.H. Business Logistics Management.
 5-MIT Micromasters Program.  6- Columbia University course for supply and
 demand analysis.  8- Price Elasticity of Demand MATH 104,Mark Mac Lean (with
 assistance from Patrick Chan) 2011W For further details or correspondence
 :<www.linkedin.com/in/haythamomar>, <www.rescaleanalytics.com>.

Package: r-cran-inventorymodel
Architecture: all
Version: 1.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-e1071, r-cran-gametheoryallocation
Filename: pool/dists/focal/main/r-cran-inventorymodel_1.1.0.1-1.ca2004.1_all.deb
Size: 143352
MD5sum: 8e1ce6e92fd30463ead96000c1475f57
SHA1: f447865e6a7664fe5b7d860fa1d5dc33ec1173cb
SHA256: 83838c5b283bed7049837a866c5e51d13f1705b4307ba35b16b56784876cf8a6
SHA512: fa2ee579f82b9802ff86f429b7f062dc1b84ed7b0543eb7ed9fc0c4af3ca19e6b3feb2c815e4223686463fa79b723c5ee05a97159e1acd175ede6ec547f4538a
Homepage: https://cran.r-project.org/package=Inventorymodel
Description: CRAN Package 'Inventorymodel' (Inventory Models)
 Determination of the optimal policy in inventory problems from a
 game-theoretic perspective.

Package: r-cran-inverseregex
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-inverseregex_0.1.1-1.ca2004.1_all.deb
Size: 37936
MD5sum: 604626829c061204601800aa5fe09289
SHA1: 452d52c0ea32a78d27188f7c5d2f635553f14223
SHA256: 98fc44aeb68f5fc9b130338afad9b6653805ca43d1bcf915ee81c02658b8495f
SHA512: 05ca7543378dd8e9f65091aa4ead4144aa81818c97935bb07c1500b7fc9b2f2aa7cff7a8aaf5c1293185b21c8e29ac742ac31576f44c6ff6b65f80789f7d8353
Homepage: https://cran.r-project.org/package=inverseRegex
Description: CRAN Package 'inverseRegex' (Reverse Engineers Regular Expression Patterns for R Objects)
 Reverse engineer a regular expression pattern for the characters contained
 in an R object. Individual characters can be categorised into digits,
 letters, punctuation or spaces and encoded into run-lengths. This can be
 used to summarise the structure of a dataset or identify non-standard
 entries. Many non-character inputs such as numeric vectors and data frames
 are supported.

Package: r-cran-invertiforms
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-sparselrmatrix, r-cran-glue
Suggests: r-cran-covr, r-cran-testthat, r-cran-igraph, r-cran-igraphdata
Filename: pool/dists/focal/main/r-cran-invertiforms_0.1.1-1.ca2004.1_all.deb
Size: 114976
MD5sum: 12a5c4c9e41a73052e8be8d9ce6663d0
SHA1: d97c48f542b64db7ac9a80706fec7e253c8bdd85
SHA256: 846c89f373cc6f28999d5efa505b5c922e906f15fa8d014292fd4183c9345b69
SHA512: 297c02f9cebb5782ea8cac283064e8ad9db0792086ed87d07d9a94c96c71543838b3ddd70c56831037ee802cf56800b69c6d897670d26d7ac525d13f6e7eff0c
Homepage: https://cran.r-project.org/package=invertiforms
Description: CRAN Package 'invertiforms' (Invertible Transforms for Matrices)
 Provides composable invertible transforms for (sparse) matrices.

Package: r-cran-investr
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Suggests: r-cran-boot, r-cran-knitr, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-investr_1.4.2-1.ca2004.1_all.deb
Size: 457492
MD5sum: 2552a82e21382181adc1bb52814251ca
SHA1: c31d9943d6c9140f6d154012ad6d868913bc7684
SHA256: e493283c6fd52dab07affdf18959fac05e3a4ca94ebfb0da8226533f9d6b041d
SHA512: 1c83cc3490c3c950e500bf216559045b8d315e2ecc1c7707f022d313b3e058b37102031f7cbc80e6e28df69beebf1e3ac59dd69726116a9e35d6f97dc4cc0410
Homepage: https://cran.r-project.org/package=investr
Description: CRAN Package 'investr' (Inverse Estimation/Calibration Functions)
 Functions to facilitate inverse estimation (e.g., calibration) in linear,
 generalized linear, nonlinear, and (linear) mixed-effects models. A generic
 function is also provided for plotting fitted regression models with or
 without confidence/prediction bands that may be of use to the general user.
 For a general overview of these methods, see Greenwell and Schubert Kabban
 (2014) <doi:10.32614/RJ-2014-009>.

Package: r-cran-invgamma
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-invgamma_1.1-1.ca2004.1_all.deb
Size: 20752
MD5sum: 40c3d7a86de89c37f65201176dedaf46
SHA1: f643e8be4229993ee684ba1da44ed8d64fc2b280
SHA256: 47daa2f15debc17267efbf1926b4c2771030efd4ff94b9efcc07205d02f2e7ec
SHA512: 4303bffe4e18ce65c08bb716452d9e95cd01276fa2cf0dfaee07840f059a16de5a26db576d6b162211c3c4f3d4d54800d9896d2f1b61073535cdbfde7ae0bf5a
Homepage: https://cran.r-project.org/package=invgamma
Description: CRAN Package 'invgamma' (The Inverse Gamma Distribution)
 Light weight implementation of the standard distribution functions for the
 inverse gamma distribution, wrapping those for the gamma distribution in the
 stats package.

Package: r-cran-invgauss
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-optimx
Filename: pool/dists/focal/main/r-cran-invgauss_1.2-1.ca2004.1_all.deb
Size: 60724
MD5sum: 187940e2a27fb1f464d5adf8510ada3d
SHA1: 387b4e46d5cb2b7eeaba9017e73f2b8a38c94332
SHA256: 5417c566932d3d0b7911a6b38d629989b13006ddd568f04802714ce0fdddbe3c
SHA512: ba01a805ceddb0d8c8bf80149c8486dead5588a4f4fecfb2aef898614f5a9ed1847c8ccc0b4cbd41aa412404bce8210d89747139d4455234494858f54cda6984
Homepage: https://cran.r-project.org/package=invGauss
Description: CRAN Package 'invGauss' (Threshold Regression that Fits the (Randomized Drift) InverseGaussian Distribution to Survival Data)
 Fits the (randomized drift) inverse Gaussian distribution to survival data.
 The model is described in Aalen OO, Borgan O, Gjessing HK. Survival and
 Event History Analysis. A Process Point of View. Springer, 2008. It is based
 on describing time to event as the barrier hitting time of a Wiener process,
 where drift towards the barrier has been randomized with a Gaussian
 distribution. The model allows covariates to influence starting values of
 the Wiener process and/or average drift towards a barrier, with a
 user-defined choice of link functions.

Package: r-cran-invivopkfit
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2315
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-httk, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-multidplyr, r-cran-numderiv, r-cran-optimx, r-cran-pk, r-cran-pracma, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-cowplot, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-invivopkfit_2.0.1-1.ca2004.1_all.deb
Size: 1478840
MD5sum: 18955502f1bd7b8d5d149d8421961075
SHA1: 606f7c9b79598b4e1edce6047e22c34fbccbc34a
SHA256: c6552957275924bfe4b6febc50ef4cfbe1826d8824d75a678849f20a466b6798
SHA512: cf4e5728e66fe4a5b55aac4583c419c63c6d55e62ce1cb01d47509e170f5f57e34358fb44575d88a687c83b9c71a787069a927b9e6b15688d5fca74c821b1c96
Homepage: https://cran.r-project.org/package=invivoPKfit
Description: CRAN Package 'invivoPKfit' (Fits Toxicokinetic Models to In Vivo PK Data Sets)
 Takes in vivo toxicokinetic concentration-time data and fits parameters of
 1-compartment and 2-compartment models for each chemical. These methods are
 described in detail in "Informatics for Toxicokinetics" (submitted).

Package: r-cran-invlt
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-invlt_0.2.1-1.ca2004.1_all.deb
Size: 34684
MD5sum: efce60097e7a6d6e96d397486a27157a
SHA1: 6ec7d3d642a7a9084634ad5c4c04cf1506c57b15
SHA256: c88a3561add0168bc7dd105a9bcd990c875386eb5ba405d97101c70cccb313de
SHA512: d59db06c8c629f3bdfd62cb9dbc7718b965cd81c58da7cb00428e8898628f61eac51214abb4a8142be17c08791aa53c114c9698c1218b866b62a67f9f0afe53e
Homepage: https://cran.r-project.org/package=invLT
Description: CRAN Package 'invLT' (Inversion of Laplace-Transformed Functions)
 Provides two functions for the numerical inversion of Laplace-Transformed
 functions, returning the value of the standard (time) domain function at a
 specified value.  The first algorithm is the first optimum contour algorithm
 described by Evans and Chung (2000)[1].  The second algorithm uses the
 Bromwich contour as per the definition of the inverse Laplace Transform.
 The latter is unstable for numerical inversion and mainly included for
 comparison or interest.  There are also some additional functions provided
 for utility, including plotting and some simple Laplace Transform examples,
 for which there are known analytical solutions.  Polar-cartesian conversion
 functions are included in this package and are used by the inversion
 functions.  [1] Evans & Chung, 2000: Laplace transform inversions using
 optimal contours in the complex plane; International Journal of Computer
 Mathematics v73 pp531-543.

Package: r-cran-invstableprior
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fdrtool, r-cran-nimble
Filename: pool/dists/focal/main/r-cran-invstableprior_0.1.1-1.ca2004.1_all.deb
Size: 35200
MD5sum: 4a0104db3f9ae7013c525f1b60e105b5
SHA1: 94d7bb8321423f72e0739e4b15b63ce914584210
SHA256: 45e2d8c086fda423a644655c0ff8071d78567ac17e1c7f9be6368943a53776e9
SHA512: f9e0317b63faff7eaaf89fc9360f28d49fab9ff8537e55ccf807b44c5714292e46255c5dfaca3703309002742ae14d86ecb41df5a1d592795565c1ccf921d98c
Homepage: https://cran.r-project.org/package=InvStablePrior
Description: CRAN Package 'InvStablePrior' (Inverse Stable Prior for Widely-Used Exponential Models)
 Contains functions that allow Bayesian inference on a parameter of some
 widely-used exponential models. The functions can generate independent
 samples from the closed-form posterior distribution using the inverse stable
 prior. Inverse stable is a non-conjugate prior for a parameter of an
 exponential subclass of discrete and continuous data distributions (e.g.
 Poisson, exponential, inverse gamma, double exponential (Laplace),
 half-normal/half-Gaussian, etc.). The prior class provides flexibility in
 capturing a wide array of prior beliefs (right-skewed and left-skewed) as
 modulated by a parameter that is bounded in (0,1). The generated samples can
 be used to simulate the prior and posterior predictive distributions. More
 details can be found in Cahoy and Sedransk (2019)
 <doi:10.1007/s42519-018-0027-2>. The package can also be used as a teaching
 demo for introductory Bayesian courses.

Package: r-cran-inzightmr
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-inzightplots, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-inzightmr_2.3.0-1.ca2004.1_all.deb
Size: 418908
MD5sum: b6013119bf71689618498c29eb2a8c73
SHA1: 275b2f29ed1a94c6ad42da0e20f10bd2c0b01f9b
SHA256: ce1d3275faa2e476321ff0d46fafce83951b1f71ca04034e21580726f29f9031
SHA512: 84539fbb582d39c82b2819aa663ee9424017a64b98a8174bb3b5bbae7e63eac5c8cfbda09b14bc9092c051c18e4d166dfcb92d43466e6dc75097ee450e08b512
Homepage: https://cran.r-project.org/package=iNZightMR
Description: CRAN Package 'iNZightMR' (Tools for Exploring Multiple Response Data)
 Interaction and analysis of multiple response data, along with other tools
 for analysing these types of data including missing value analysis and
 calculation of standard errors for a range of covariance matrix results
 (proportions, multinomial, independent samples, and multiple response).

Package: r-cran-inzightplots
Architecture: all
Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1456
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-chron, r-cran-colorspace, r-cran-dichromat, r-cran-dplyr, r-cran-emmeans, r-cran-expss, r-cran-hexbin, r-cran-hms, r-cran-inzightmr, r-cran-inzighttools, r-cran-lubridate, r-cran-magrittr, r-cran-quantreg, r-cran-rlang, r-cran-s20x, r-cran-scales, r-cran-stringr, r-cran-units, r-cran-survey
Suggests: r-cran-covr, r-cran-forcats, r-cran-dbi, r-cran-dbplyr, r-cran-ggbeeswarm, r-cran-ggmosaic, r-cran-ggplot2, r-cran-ggridges, r-cran-ggtext, r-cran-ggthemes, r-cran-gridsvg, r-cran-hextri, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-plotly, r-cran-rcolorbrewer, r-cran-rsqlite, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-waffle
Filename: pool/dists/focal/main/r-cran-inzightplots_2.16.0-1.ca2004.1_all.deb
Size: 1292848
MD5sum: 2d94d6518c23adc6d7f6426d185f9176
SHA1: 270fe1c4d05d1d88af87f0103105099381a37965
SHA256: 7bd6bf3d96d2aa2937cf688e6f2b23073a54bc505dc19b3e20e1de1e97e713ac
SHA512: ad0c7759eed17b03fa70f1be1bd0fcc3c30c88bb7b789887cd10de33c9a1b055ba421b4fe60fc3a56a034e3ff68957e6dbded20d6bd3fc535ace8537ec6cb419
Homepage: https://cran.r-project.org/package=iNZightPlots
Description: CRAN Package 'iNZightPlots' (Graphical Tools for Exploring Data with 'iNZight')
 Simple plotting function(s) for exploratory data analysis with flexible
 options allowing for easy plot customisation. The goal is to make it easy
 for beginners to start exploring a dataset through simple R function calls,
 as well as provide a similar interface to summary statistics and inference
 information. Includes functionality to generate interactive HTML-driven
 graphs. Used by 'iNZight', a graphical user interface providing easy
 exploration and visualisation of data for students of statistics, available
 in both desktop and online versions.

Package: r-cran-inzightregression
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-ggally, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggtext, r-cran-inzightplots, r-cran-multcomp, r-cran-patchwork
Suggests: r-cran-covr, r-cran-broom.helpers, r-cran-inzighttools, r-cran-survey, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-inzightregression_1.3.4-1.ca2004.1_all.deb
Size: 520576
MD5sum: 1e92be6506c8675d4ec637d49fee7e5b
SHA1: a1303ba598625c2222b48ee5a85c45d69178c387
SHA256: 5b9f9abc3011b90347929fa45d07df9024b4139b29e1877d7a2285d934e0a705
SHA512: ab3426f36917ec0a6f6d16a68eb041d39f8a2a64900024debd4ca5a2e9fea6298458462d6884fa687fe10f2e837190a1687ff1d9b1e3b53bb60a8c4444f4adac
Homepage: https://cran.r-project.org/package=iNZightRegression
Description: CRAN Package 'iNZightRegression' (Tools for Exploring Regression Models with 'iNZight')
 Provides a suite of functions to use with regression models, including
 summaries, residual plots, and factor comparisons. Used as part of the Model
 Fitting module of 'iNZight', a graphical user interface providing easy
 exploration and visualisation of data for students of statistics, available
 in both desktop and online versions.

Package: r-cran-inzighttools
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-dbi, r-cran-forcats, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-srvyr, r-cran-stringr, r-cran-survey, r-cran-tibble, r-cran-tidyr, r-cran-units
Suggests: r-cran-chron, r-cran-covr, r-cran-dbplyr, r-cran-expss, r-cran-haven, r-cran-jsonlite, r-cran-knitr, r-cran-lubridate, r-cran-rcurl, r-cran-readxl, r-cran-rsqlite, r-cran-styler, r-cran-testthat, r-cran-tsibble, r-cran-validate, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-inzighttools_2.0.1-1.ca2004.1_all.deb
Size: 297996
MD5sum: 930033febb5b3ec88f48f9d9eb2e5560
SHA1: 5bfa7c1e993481473eb79387cdf009b069e77c17
SHA256: c5d795beb241fb1e6c7710c6b582248e8e58ac354bd9ad9fb943c3ae989f098f
SHA512: d5893c630f940c16fd6779d258afc58da4669e04fe3b9b3c2453b9360cf7e68dfd932aac4523ef6f5ff016e06543a5459f6859b0056220eed6b5b2acfad1cc6e
Homepage: https://cran.r-project.org/package=iNZightTools
Description: CRAN Package 'iNZightTools' (Tools for 'iNZight')
 Provides a collection of wrapper functions for common variable and dataset
 manipulation workflows primarily used by 'iNZight', a graphical user
 interface providing easy exploration and visualisation of data for students
 of statistics, available in both desktop and online versions. Additionally,
 many of the functions return the 'tidyverse' code used to obtain the result
 in an effort to bridge the gap between GUI and coding.

Package: r-cran-inzightts
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggtext, r-cran-glue, r-cran-patchwork, r-cran-rlang, r-cran-tidyr, r-cran-tsibble, r-cran-fable, r-cran-fabletools, r-cran-feasts, r-cran-evaluate, r-cran-lubridate, r-cran-stringr, r-cran-tibble, r-cran-urca
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-inzightts_2.0.0-1.ca2004.1_all.deb
Size: 512096
MD5sum: 0e48a3705a514720d74c28dfdc915f26
SHA1: 1223a085caea958dceefc7ee9ac311ebf05f4c89
SHA256: cefb9bcf728ee0e6c987ca91a5912e4b68a3074283bfd8be867bf60cd9bf555f
SHA512: 2a94cae6147d184aba23452bed0283bc9adc62085007f1a6676de5298a2a3f42682091878b98d1e041c19aac3029ffcef8d40465b4ca6ed2df179d6ed88bf381
Homepage: https://cran.r-project.org/package=iNZightTS
Description: CRAN Package 'iNZightTS' (Time Series for 'iNZight')
 Provides a collection of functions for working with time series data,
 including functions for drawing, decomposing, and forecasting. Includes
 capabilities to compare multiple series and fit both additive and
 multiplicative models. Used by 'iNZight', a graphical user interface
 providing easy exploration and visualisation of data for students of
 statistics, available in both desktop and online versions. Holt (1957)
 <doi:10.1016/j.ijforecast.2003.09.015>, Winters (1960)
 <doi:10.1287/mnsc.6.3.324>, Cleveland, Cleveland, & Terpenning (1990) "STL:
 A Seasonal-Trend Decomposition Procedure Based on Loess".

Package: r-cran-io
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-filenamer, r-cran-stringr
Suggests: r-cran-xml, r-bioc-rhdf5, r-cran-yaml, r-cran-jsonlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-io_0.3.2-1.ca2004.1_all.deb
Size: 97552
MD5sum: 1dae76b982b436601eaa4f9666219bf1
SHA1: 795dfaa1c477b4e22b6449010d59c0e5549edcf6
SHA256: 74fa7520c4e1b541f23e9531371180d7e7dd6557348731684e8c52a40ef460fc
SHA512: d6e92b40b29a9ffe3b72517a63879972be081c3e08e7011ddb5522572eb0df8d54c549f92d620d757596cbffa947f659543e835055823b68bd7e85af7b94b8cc
Homepage: https://cran.r-project.org/package=io
Description: CRAN Package 'io' (A Unified Framework for Input-Output Operations in R)
 One function to read files. One function to write files. One function to
 direct plots to screen or file. Automatic file format inference and
 directory structure creation.

Package: r-cran-ioanalysis
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plot3d, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-ioanalysis_0.3.4-1.ca2004.1_all.deb
Size: 252220
MD5sum: 393ddc484866f2217653b39ad2185bb8
SHA1: be24f69fb0945f2294dd1f271ab225a8b51c42ee
SHA256: ca19d12044b93a5b21920b790c5cf4aa58a26fd21acec25c2dcb23aeb2b2ec52
SHA512: 62a7cd2c71a1edbab8ef65937236b63b189471528d379600eec578c77d15143e61a9ffd9c043f69f6a59d04d20bf3958d0dd5995a89c700821d9889780193f33
Homepage: https://cran.r-project.org/package=ioanalysis
Description: CRAN Package 'ioanalysis' (Input Output Analysis)
 Calculates fundamental IO matrices (Leontief, Wassily W. (1951)
 <doi:10.1038/scientificamerican1051-15>); within period analysis via various
 rankings and coefficients (Sonis and Hewings (2006)
 <doi:10.1080/09535319200000013>, Blair and Miller (2009)
 <ISBN:978-0-521-73902-3>, Antras et al (2012) <doi:10.3386/w17819>, Hummels,
 Ishii, and Yi (2001) <doi:10.1016/S0022-1996(00)00093-3>); across period
 analysis with impact analysis (Dietzenbacher, van der Linden, and Steenge
 (2006) <doi:10.1080/09535319300000017>, Sonis, Hewings, and Guo (2006)
 <doi:10.1080/09535319600000002>); and a variety of table operators.

Package: r-cran-iols
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sandwich, r-cran-matlib, r-cran-boot, r-cran-randomcolor, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-iols_0.1.4-1.ca2004.1_all.deb
Size: 61932
MD5sum: 269a31967c61a431fb18ec8424a2df2d
SHA1: 2ef696fbdb081fedb7225d73ffb9cf5250ae2a9c
SHA256: d1e7700a544a4faba671c2d70226c9369c6fce2c3ebc09c21265b7202e122d3e
SHA512: 03b00d835aed1561b9865087657998fa3037d64d14b456f23966f3bd9a213adceac06a04ea7c3f104fa8a4bbeb3258e10d68596b76f2a0a8d4ad1464749b7ea1
Homepage: https://cran.r-project.org/package=IOLS
Description: CRAN Package 'IOLS' (Iterated Ordinary Least Squares Regression)
 Addresses the 'log of zero' by developing a new family of estimators called
 iterated Ordinary Least Squares.  This family nests standard approaches such
 as log-linear and Poisson regressions, offers several computational
 advantages, and corresponds to the correct way to perform the popular log(Y
 + 1) transformation. For more details about how to use it, see the notebook
 at: <https://www.davidbenatia.com/>.

Package: r-cran-ioncopy
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 493
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-zip
Filename: pool/dists/focal/main/r-cran-ioncopy_2.2.2-1.ca2004.1_all.deb
Size: 296996
MD5sum: 2f2ffabfa0c09cc53181e91eb56c0fbe
SHA1: 5425ec9fa875426cf4f7205fbd5482b5b5607d8e
SHA256: 30d4fa8b4eabf917083f5b293b5fd925bce686b5d02de3268c68eb9a69cc5ffb
SHA512: 6fd6e3503f183b5e8866a78b05e12c1ac13473ad2d6bbe5170823febc1918d1ab7eafd5f0c6783daa81d4436bab35c15a7c5f818f90354a2c7607e8842884910
Homepage: https://cran.r-project.org/package=ioncopy
Description: CRAN Package 'ioncopy' (Calling Copy Number Alterations in Amplicon Sequencing Data)
 Method for the calculation of copy numbers and calling of copy number
 alterations. The algorithm uses coverage data from amplicon sequencing of a
 sample cohort as input. The method includes significance assessment,
 correction for multiple testing and does not depend on normal DNA controls.
 Budczies (2016 Mar 15) <doi:10.18632/oncotarget.7451>.

Package: r-cran-ionflows
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-ionflows_1.1-1.ca2004.1_all.deb
Size: 34876
MD5sum: 0bd3e42319dee83cf3c3ef00ce7addfa
SHA1: 4e9366e1a18cf64912acdbc8f7f1130ec2f5bbb2
SHA256: f73c83865cc6e87d5c23631511f0e6142853d865fa3ebe9461505301267b3166
SHA512: 4f661e46ded8e84ab7b6c760ab6e85a66efc8d4cefed8eccfa78b3179523551796242810e9503c3c7ffafc0e08adabae29c8648ab62d376f1f46fd4189859047
Homepage: https://cran.r-project.org/package=ionflows
Description: CRAN Package 'ionflows' (Calculate the Number of Required Flows for SemiconductorSequencing)
 Two methods for calculation of the number of required flows for
 semiconductor sequencing: 1. Using a simulation, the number of flows can be
 calculated for a concrete list of amplicons. 2. An exact combinatorial model
 is evaluated to calculate the number of flows for a random ensemble of
 sequences.

Package: r-cran-ionr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots, r-cran-psych
Suggests: r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-ionr_0.3.0-1.ca2004.1_all.deb
Size: 75372
MD5sum: 8f33b09cb7a63158194b175b291a9580
SHA1: 4e85090e5e65c9b6cc60130e03fe3627abc8c38e
SHA256: 32614fcca43745283e22ee0adff924aefe5c848808457861469892a5790d5c09
SHA512: fe8f9bf49bfed3a042586d78cca90fbde2e0c4177569cebe1a58b9a9735e5c6a701494a0b3de86c98c89ee61989a9c2b08a00df65f8fc3ca1e94e763948a581e
Homepage: https://cran.r-project.org/package=ionr
Description: CRAN Package 'ionr' (Test for Indifference of Indicator)
 Provides item exclusion procedure, which is a formal method to test
 'Indifference Of iNdicator' (ION). When a latent personality trait-outcome
 association is assumed, then the association strength should not depend on
 which subset of indicators (i.e. items) has been chosen to reflect the
 trait. Personality traits are often measured (reflected) by a sum-score of a
 certain set of indicators.  Item exclusion procedure randomly excludes items
 from a sum-score and tests, whether the sum-score - outcome correlation
 changes. ION has been achieved, when any item can be excluded from the
 sum-score without the sum-score - outcome correlation substantially changing
 . For more details, see Vainik, Mottus et. al, (2015) "Are Trait-Outcome
 Associations Caused by Scales or Particular Items? Example Analysis of
 Personality Facets and BMI",European Journal of Personality DOI:
 <10.1002/per.2009> .

Package: r-cran-iopspackage
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 785
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-economiccomplexity, r-cran-readxl, r-cran-tidyr, r-cran-openxlsx, r-cran-usethis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iopspackage_2.1.0-1.ca2004.1_all.deb
Size: 611680
MD5sum: 4ca46f6fd06b8830bf7ababda7c8c2f4
SHA1: 8aafdd5b4f9a3c8dd791d2fb6b3a6d1f19d5420b
SHA256: 08c70fb119dc310ad1af78f7bdb1c543778d060c51b8f64caf10bf4123d20bf4
SHA512: db0b09e0a9f294da0d5479e839b625b4023bb3e9261dee24acacf5f4caa4c01638280885b50017f03dd661d0558adf21527e41731874f27815aa307cb9954f59
Homepage: https://cran.r-project.org/package=iopspackage
Description: CRAN Package 'iopspackage' (IO-PS Framework Package)
 A developmental R tool related to the input-output product space (IO-PS).
 The package requires two compulsory user inputs (raw CEPPI BACI trade data,
 and any acceptable ISO country code) and has 4 optional user inputs (a value
 chain map, chosen complexity method, number of iterations to be performed,
 and a trade digit level).  Various metrics are calculated, such as Economic-
 and Product complexity, distance, opportunity gain, and inequality metrics,
 to facilitate better decision making regarding industrial policy making.

Package: r-cran-iopsych
Architecture: all
Version: 0.90.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mco
Filename: pool/dists/focal/main/r-cran-iopsych_0.90.1-1.ca2004.1_all.deb
Size: 255816
MD5sum: c1deb56af1d05d085e1eaf15fdb4184b
SHA1: 7beeba71986c4a183a8655044c711337dcb6e281
SHA256: 02d97e392b7f076d43404f1a77f0f61bb6a1d22d75a2efbe982910043fbcb542
SHA512: 63e9f76dda062fad4a8d76d8df6ade8677c3b75ca4d9b7667f5bdb3c88026551503599d17c160a89856fdc9289f95b074a61560e7f4f3c41ce5ca64987c67847
Homepage: https://cran.r-project.org/package=iopsych
Description: CRAN Package 'iopsych' (Methods for Industrial/Organizational Psychology)
 Collection of functions for IO Psychologists.

Package: r-cran-iosmooth
Architecture: all
Version: 0.94-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iosmooth_0.94-1.ca2004.1_all.deb
Size: 57724
MD5sum: fe8496dae3ff07b6705c9f0a0aa71838
SHA1: a0f2ad5b2fa01310f373f9084e1dd3e7e0072dbb
SHA256: 7435658627cd309c5af2552397b7c36e650eb0b105656175fa9dd350ac960092
SHA512: c30138a7ca3a8dde321651f483d677608cac59df45b9ba1255c81e0d13944227b6781a5662a513e8548405c08391280e8688d6c1d364722cead88881e30e1694
Homepage: https://cran.r-project.org/package=iosmooth
Description: CRAN Package 'iosmooth' (Functions for Smoothing with Infinite Order Flat-Top Kernels)
 Density, spectral density, and regression estimation using infinite order
 flat-top kernels.

Package: r-cran-iotables
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2471
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-eurostat, r-cran-magrittr, r-cran-tidyr, r-cran-forcats, r-cran-plyr, r-cran-lubridate, r-cran-knitr, r-cran-kableextra, r-cran-tibble, r-cran-readxl, r-cran-assertthat, r-cran-glue, r-cran-tidyselect, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-spelling, r-cran-covr, r-cran-roxyglobals
Filename: pool/dists/focal/main/r-cran-iotables_0.9.3-1.ca2004.1_all.deb
Size: 1800832
MD5sum: e832a3f18cfa7b2d3de667d9fd31616f
SHA1: 650f3a33caee872ca66d809c1b7a5a3dc14bc7a3
SHA256: 186de9df88d706a26e4f199d0a8e5ebae625f879cb8def5b8876edce33c8cb58
SHA512: 10afbac2376a513bc14e86bdfa5451c9ad8f0b3e05702021d265addf261ef228e243aa5b299b89c8664cdf9e4f5b1236310673ffe31ea78cc6cf9d06b36b7509
Homepage: https://cran.r-project.org/package=iotables
Description: CRAN Package 'iotables' (Reproducible Input-Output Economics Analysis, Economic andEnvironmental Impact Assessment with Empirical Data)
 Pre-processing and basic analytical tasks related to working with Eurostat's
 symmetric input-output tables and provide basic input-output economics
 calculations. The package is part of rOpenGov <http://ropengov.github.io/>
 to open source open government initiatives.

Package: r-cran-ip2location.io
Architecture: all
Version: 0.0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-ip2location.io_0.0.0-2-1.ca2004.1_all.deb
Size: 21132
MD5sum: c73301c9d4d21590fec13cf9ec6f2efa
SHA1: 182dba80618c8ac5e2de4ca9e27a410eac6db555
SHA256: 3290e968fb4e206578be0bee4947feea53e2fe12a9572dcc8e1b8b7e961798de
SHA512: 7806cc8a123ae71ffe6bbfa5a45cefbe6f1917586b9e965a8cb477a85862430c5f6d8797aa27152018396521169eac5dac7d887ffa26c934e160ce7c032ffe35
Homepage: https://cran.r-project.org/package=ip2location.io
Description: CRAN Package 'ip2location.io' (Batch IP Data Retrieval and Storage Using 'IP2Location.io')
 A system for submitting multiple IP information queries to
 'IP2Location.io'’s IP Geolocation API and storing the resulting data in a
 dataframe. You provide a vector of IP addresses and your 'IP2Location.io'
 API key. The package returns a dataframe with one row per IP address and a
 column for each available data field (data fields not included in your API
 plan will contain NAs). This is the second submission of the package to
 CRAN.

Package: r-cran-ip2location
Architecture: all
Version: 8.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reticulate, r-cran-jsonlite, r-cran-ggplot2, r-cran-maps, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ip2location_8.1.3-1.ca2004.1_all.deb
Size: 28004
MD5sum: 41eecb5437c8f141ad4ed2c21a416531
SHA1: 7bb45b710cd2f1719b9ec4a2b3848b38f519784c
SHA256: 65a02259257a95ff3c923cac3482833d8d0670ff2d96fcb9b3eefa3eaba67470
SHA512: 10181daf5cb12884c5dab749fcdd8226d84d7b48528637615fef3097bb7b931cb53d296da12356ecd8f21cce2c3ac61bdf7e75eb812e85aa4678a5f66fddac62
Homepage: https://cran.r-project.org/package=ip2location
Description: CRAN Package 'ip2location' (Lookup for IP Address Information)
 Enables the user to find the country, region, district, city, coordinates,
 zip code, time zone, ISP, domain name, connection type, area code, weather,
 Mobile Country Code, Mobile Network Code, mobile brand name, elevation,
 usage type, address type, IAB category and Autonomous system information
 that any IP address or hostname originates from. Supported IPv4 and IPv6.
 Please visit <https://www.ip2location.com> to learn more. You may also want
 to visit <https://lite.ip2location.com> for free database download.  This
 package requires 'IP2Location Python' module. At the terminal, please run
 'pip install IP2Location' to install the module.

Package: r-cran-ip2locationio
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ip2locationio_1.1.0-1.ca2004.1_all.deb
Size: 23312
MD5sum: 325b4091ecf9b8aa23be87e43bb8e4ec
SHA1: 9798ed3517425cc10518b6dc86dc6fdc9047d728
SHA256: 885662fd29fe22d23bc9fcd58f96684ae58396d35d99163d139257cf317435d5
SHA512: e6957f0dcf70d3313fa80a5223df4ae32594a7a1ace8d8a510c596aed645c44a2ee485dca8721c4c9cf46230afcadb937e6681498dea5921fde5125e283a2020
Homepage: https://cran.r-project.org/package=ip2locationio
Description: CRAN Package 'ip2locationio' (Lookup Geolocation and Proxy Information using 'IP2Location.io'API)
 Query for enriched data such as country, region, city, latitude & longitude,
 ZIP code, time zone, Autonomous System, Internet Service Provider, domain,
 net speed, International direct dialing (IDD) code, area code, weather
 station data, mobile data, elevation, usage type, address type,
 advertisement category, fraud score, and proxy data with an IP address. You
 can also query a list of hosted domain names for the IP address too.  This
 package uses the 'IP2Location.io' API to query this data. To get started
 with a free API key, sign up here
 <https://www.ip2location.io/sign-up?ref=1>.

Package: r-cran-ip2proxy
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reticulate, r-cran-jsonlite, r-cran-ggplot2, r-cran-maps, r-cran-scales
Filename: pool/dists/focal/main/r-cran-ip2proxy_1.2.0-1.ca2004.1_all.deb
Size: 31092
MD5sum: 2d4e4389a437bce67babbe2709d09f23
SHA1: 595136a19334dec83efadc276161de7061de3b12
SHA256: b260b8a099a8901429cde1c3dfa4682e52fc9d5f308efea7514ed18294f96e61
SHA512: f85d0a856ac2b40ccc488daaef70a5910b4e3f858924677ac2213d07fcc29115dc0feacdee8415dad2d870325eebd91e9cc4876a774519db81ee3add9b22fc27
Homepage: https://cran.r-project.org/package=ip2proxy
Description: CRAN Package 'ip2proxy' (Lookup for IP Address Proxy Information)
 Enable user to find the IP addresses which are used as VPN anonymizer, open
 proxies, web proxies and Tor exits.  The package lookup the proxy IP address
 from IP2Proxy BIN Data file. You may visit <https://lite.ip2location.com>
 for free database download.

Package: r-cran-ip2whois
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ip2whois_1.0.0-1.ca2004.1_all.deb
Size: 30016
MD5sum: c06def4fe74ed2a56aeb7f49e2676138
SHA1: 831098f6620c052d6a85fe5b04050e221915a8bf
SHA256: fcb016babaaf539a0472ba7ca14e34c17e3c2f8851bf0fe9c75dcf9bb33a1698
SHA512: e49c5ba6dd79cd8f2b1691eba51128ea910c85653a1f69f0f3cec465b29a95a9cf6f2f6f00a2f9e8f41c92ad9cf553c34ea7cbd5d386ce74780be1f3ea759fe8
Homepage: https://cran.r-project.org/package=ip2whois
Description: CRAN Package 'ip2whois' (Lookup 'WHOIS' Information for a Particular Domain)
 Easily implement the checking of 'WHOIS' information for a particular
 domain. 'IP2WHOIS' supports the query for 1113 Top-level Domains(TLDs) and
 634 Country Code Top-level Domains(ccTLDs).  To get started with a free API
 key, you may sign up at here <https://www.ip2whois.com/register>.

Package: r-cran-ipa
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipa_0.1.0-1.ca2004.1_all.deb
Size: 71008
MD5sum: d896666bb184b63f0a94335a4597f184
SHA1: d2aaede49f2e831ad335e71b37553ef028a44207
SHA256: ee749181cfcbeee7c93b3b7c351b178402db3f85a44ee2cde3ab09139b95f0ec
SHA512: 86ec34b174105a25e8165c51ecccfe0c58fe6f4d91ab05e0dc8da09760258e9240bec74f2813331d525ec1ae30713ff9daf2eced01767c1d3dc8d5c76a9c073a
Homepage: https://cran.r-project.org/package=ipa
Description: CRAN Package 'ipa' (Convert Between Phonetic Alphabets)
 Converts character vectors between phonetic representations.  Supports IPA
 (International Phonetic Alphabet), X-SAMPA (Extended Speech Assessment
 Methods Phonetic Alphabet), and ARPABET (used by the CMU Pronouncing
 Dictionary).

Package: r-cran-ipadmixture
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1093
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-treemap, r-cran-ape
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ipadmixture_0.1.2-1.ca2004.1_all.deb
Size: 986856
MD5sum: 616726ae75ee8cdee9ff12f190db8946
SHA1: 859f55d97db6e99f7bb3b191dd8eb83d20bb7b85
SHA256: 8f436dfaedd736d52792d275054e684bffe2a78deb47c7752514ed8a5a7126e3
SHA512: d8d6986c5a78d5dd3295dbd81ac17d4bbd6dd8095b6b9c3d4ecf8a178572b104d1b3920e20480c5cb59b78e3a7acf0261ce3536bfcd10356dce0771da59bc024
Homepage: https://cran.r-project.org/package=ipADMIXTURE
Description: CRAN Package 'ipADMIXTURE' (Iterative Pruning Population Admixture Inference Framework)
 A data clustering package based on admixture ratios (Q matrix) of population
 structure. The framework is based on iterative Pruning procedure that
 performs data clustering by splitting a given population into subclusters
 until meeting the condition of stopping criteria the same as ipPCA,
 iNJclust, and IPCAPS frameworks. The package also provides a function to
 retrieve phylogeny tree that construct a neighbor-joining tree based on a
 similar matrix between clusters. By given multiple Q matrices with varying a
 number of ancestors (K), the framework define a similar value between
 clusters i,j as a minimum number K* that makes majority of members of two
 clusters are in the different clusters. This K* reflexes a minimum number of
 ancestors we need to splitting cluster i,j into different clusters if we
 assign K* clusters based on maximum admixture ratio of individuals. The
 publication of this package is at Chainarong Amornbunchornvej, Pongsakorn
 Wangkumhang, and Sissades Tongsima (2020) <doi:10.1101/2020.03.21.001206>.

Package: r-cran-ipanema
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-dbi, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-rmysql
Filename: pool/dists/focal/main/r-cran-ipanema_1.2.0-1.ca2004.1_all.deb
Size: 43848
MD5sum: 2d85cde6ceb9f1e89db0ed14dbdf2b12
SHA1: 07e60cc81c436bcac4bdac51f795e784d48fb23d
SHA256: 8b38339642fb12f2d4989f31aa675d449019f73e54a9cd5e2c8fda42e67f70ed
SHA512: 859bad8e73474b4e8b0ba1e31e21a6f3016605960ebbaab0764ed5ad1aff93cf12863096caabb7f42f83aec9cd9e6213746cf51ff6682c738e0298bc23b2ef66
Homepage: https://cran.r-project.org/package=ipanema
Description: CRAN Package 'ipanema' (Read Data from 'LimeSurvey')
 Read data from 'LimeSurvey' (<https://www.limesurvey.org/>) in a comfortable
 way.  Heavily inspired by 'limer' (<https://github.com/cloudyr/limer/>),
 which lacked a few comfort features for me.

Package: r-cran-ipbase
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipbase_0.1.1-1.ca2004.1_all.deb
Size: 25008
MD5sum: c1933fbaf630fd561709a96e23b2b004
SHA1: 7f03a560e76865e4265c129b2fcdfea8038e0716
SHA256: cc1a73650ec7a7634c2d55aaf516a17052ef438be3cfcca033ebc504dcc9c881
SHA512: 449501b9cb2b993b242af95144ba7444b32f0abc04e20c089dbf7d86df8b1762d18dfac198684b4bcd8d2f86b4095f71ae7927cda51a93815c382a1285f2a034
Homepage: https://cran.r-project.org/package=ipbase
Description: CRAN Package 'ipbase' (Client for the 'ipbase.com' IP Geolocation API)
 An R client for the 'ipbase.com' IP Geolocation API. The API requires
 registration of an API key. Basic features are free, some require a paid
 subscription. You can find the full API documentation at
 <https://ipbase.com/docs> .

Package: r-cran-ipc
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-txtq
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-future, r-cran-promises, r-cran-redux
Filename: pool/dists/focal/main/r-cran-ipc_0.1.4-1.ca2004.1_all.deb
Size: 326536
MD5sum: a10eca6a50ba429f68f9052b514f8eb3
SHA1: 28c4f74acb6123b7e580b4b1acbb9d21081516d6
SHA256: cdf8b199a8d13b051e5ccdd4457c281c0cabdab395d464e360a67cf3a3bbb8a1
SHA512: 9b0b86752575894a4ba6ea34736aa7e48bec6fff3d1f6ecbdb0db1de184f250ffdcb1881afd932605ca562d5ec8492cb8684ad5d04ec5afac3a3de075c28a164
Homepage: https://cran.r-project.org/package=ipc
Description: CRAN Package 'ipc' (Tools for Message Passing Between Processes)
 Provides tools for passing messages between R processes.  Shiny examples are
 provided showing how to perform useful tasks such as: updating reactive
 values from within a future, progress bars for long running async tasks, and
 interrupting async tasks based on user input.

Package: r-cran-ipcaps
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-expm, r-cran-kris, r-cran-fpc, r-cran-lpcm, r-cran-apcluster, r-cran-rmixmod
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipcaps_1.1.8-1.ca2004.1_all.deb
Size: 462704
MD5sum: d4d6a8bc9f744babb00f86e6293e06b8
SHA1: e1c240a63a054ee2dd95f3ae5994776c0f2525da
SHA256: f1398a03d4e554bdbb9314594440d71a57b6becbba4198899a61c7aae99ea4c2
SHA512: e93a259d13ad537e284accc2078d64d6551a858cddfa06dc6f5e214088dd12552c5c81845c0fb9798e283bfce960db5955649b0b87745fd43ef3a6254ffc0638
Homepage: https://cran.r-project.org/package=IPCAPS
Description: CRAN Package 'IPCAPS' (Iterative Pruning to Capture Population Structure)
 An unsupervised clustering algorithm based on iterative pruning is for
 capturing population structure. This version supports ordinal data which can
 be applied directly to SNP data to identify fine-level population structure
 and it is built on the iterative pruning Principal Component Analysis
 ('ipPCA') algorithm as explained in Intarapanich et al. (2009)
 <doi:10.1186/1471-2105-10-382>. The 'IPCAPS' involves an iterative process
 using multiple splits based on multivariate Gaussian mixture modeling of
 principal components and 'Expectation-Maximization' clustering as explained
 in Lebret et al. (2015) <doi:10.18637/jss.v067.i06>. In each iteration,
 rough clusters and outliers are also identified using the function
 rubikclust() from the R package 'KRIS'.

Package: r-cran-ipcwk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ipcwk_1.0-1.ca2004.1_all.deb
Size: 25088
MD5sum: cd8cda0c21de7f15a393199271a5e1ff
SHA1: e843e3a49054046886adb87d5566f9c0dbb3acc9
SHA256: 43ae4c8c005291e8d7cfc7f24efd87aac7c0c534ff312ff40f00a432fc0566c4
SHA512: 18596078354065f13726104d77bd6281e370a474899d784e6fa3bf3cb8a6c9903f89edfd1e8075f72af83e0cf3942d10d34356c4f4962afa537e5912c24dcbb4
Homepage: https://cran.r-project.org/package=IPCWK
Description: CRAN Package 'IPCWK' (Kendall's Tau Partial Corr. for Survival Trait and Biomarkers)
 We propose the inverse probability-of-censoring weighted (IPCW) Kendall's
 tau to measure the association of the survival trait with biomarkers and
 Kendall's partial correlation to reflect the relationship of the survival
 trait with interaction variable conditional on main effects, as described in
 Wang and Chen (2020) <doi:10.1093/bioinformatics/btaa017>.

Package: r-cran-ipcwswitch
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ipcwswitch_1.0.4-1.ca2004.1_all.deb
Size: 85356
MD5sum: 01c0dfe2ffc6f0be160fd9062c62b2a6
SHA1: 0471f84b4f602806d21e63b4cf4410de2219746c
SHA256: f949de2ab570f4928264d2d38fe5d0f84c29818490ce6e1956eca01777f50237
SHA512: 2f0e1f50c1a2d4cde902862c556a7e531eefbbeb62b7a17ba5bfe618f6f9a4aa5d847b01f0240bec0169666cb45ee6e41d2275279ff26c97dd74ff2a9a748b41
Homepage: https://cran.r-project.org/package=ipcwswitch
Description: CRAN Package 'ipcwswitch' (Inverse Probability of Censoring Weights to Deal with TreatmentSwitch in Randomized Clinical Trials)
 Contains functions for formatting clinical trials data and implementing
 inverse probability of censoring weights to handle treatment switches when
 estimating causal treatment effect in randomized clinical trials.

Package: r-cran-ipd
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2595
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-gam, r-cran-generics, r-cran-ranger, r-cran-mass, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-ipd_0.1.4-1.ca2004.1_all.deb
Size: 1804100
MD5sum: ee3b2326df94c95157da3926a1408ec5
SHA1: 180fadc858ebc431a63872d854c1f915d8956b9b
SHA256: bff647ef1eec7539602494c14c83651bf674c2743d5c906b77c40c5e8c2b3af6
SHA512: 6515a457f5721c97c90f620d4816d71322295077e0bd90b0391c630cd32a407cb029da220fb3fad2990fbdf629329d7ebf7a2958d21d7ecf10bdd46d27719cd7
Homepage: https://cran.r-project.org/package=ipd
Description: CRAN Package 'ipd' (Inference on Predicted Data)
 Performs valid statistical inference on predicted data (IPD) using recent
 methods, where for a subset of the data, the outcomes have been predicted by
 an algorithm. Provides a wrapper function with specified defaults for the
 type of model and method to be used for estimation and inference. Further
 provides methods for tidying and summarizing results. Salerno et al., (2024)
 <doi:10.48550/arXiv.2410.09665>.

Package: r-cran-ipdfilecheck
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-testthat, r-cran-lubridate, r-cran-eeptools, r-cran-hash, r-cran-kableextra, r-cran-gtsummary, r-cran-effsize, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ipdfilecheck_0.8.1-1.ca2004.1_all.deb
Size: 131240
MD5sum: 08843e880c733fdbaa1e3f0958dc4a30
SHA1: a967441364fb5e588082a5aabc780cb7b14a68df
SHA256: 0b2599188dce55228e302d4859a723930beae199821ed21335a7a87251512711
SHA512: 3ece19df7ce85ce7cee1d35dc39b47b07738767bfcd0207dbe52b07687aac45c6fcbcdaaf04d9c086e56832aad5a8d10abfb11ee3fb6cd00c1985db826b3dae4
Homepage: https://cran.r-project.org/package=IPDFileCheck
Description: CRAN Package 'IPDFileCheck' (Basic Functions to Check Readability, Consistency, and Contentof an Individual Participant Data File)
 Basic checks needed with an individual level participant data from
 randomised controlled trial. This checks files for existence, read access
 and individual columns for formats. The checks on format is currently
 implemented for gender and age formats.

Package: r-cran-ipdfromkm
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-survival, r-cran-gridextra, r-cran-readbitmap
Filename: pool/dists/focal/main/r-cran-ipdfromkm_0.1.10-1.ca2004.1_all.deb
Size: 117344
MD5sum: dddfe6c5c189428c8c9f3384c20ef17f
SHA1: c92eabc30469cb8cdc4d8622aa271a60a44e2d71
SHA256: 7e7cb6d826e9b33a0183bd3969ed196757ac678ab294d39960926037a9d2d48d
SHA512: ed4b0c052d59aef19b85bb8875a9e23ee0827eb9c59942b17add359a5fa1ec0c2f1472fb239f372159436c6480840b2c8ae36f9226f77e91b2862a6c4d2b68ff
Homepage: https://cran.r-project.org/package=IPDfromKM
Description: CRAN Package 'IPDfromKM' (Map Digitized Survival Curves Back to Individual Patient Data)
 An implementation to reconstruct individual patient data from Kaplan-Meier
 (K-M) survival curves, visualize and assess the accuracy of the
 reconstruction, then perform secondary analysis on the reconstructed data.
 We involve a simple function to extract the coordinates form the published
 K-M curves. The function is developed based on Poisot T. ’s digitize package
 (2011) <doi:10.32614/RJ-2011-004> . For more complex and tangled together
 graphs, digitizing software, such as 'DigitizeIt' (for MAC or windows) or
 'ScanIt'(for windows) can be used to get the coordinates. Additional
 information should also be involved to increase the accuracy, like numbers
 of patients at risk (often reported at 5-10 time points under the x-axis of
 the K-M graph), total number of patients, and total number of events. The
 package implements the modified iterative K-M estimation algorithm
 (modified-iKM) improved upon the approach proposed by Guyot (2012)
 <doi:10.1186/1471-2288-12-9> with some modifications.

Package: r-cran-ipdw
Architecture: all
Version: 2.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gdistance, r-cran-sf, r-cran-raster
Suggests: r-cran-gstat, r-cran-gdata, r-cran-spatstat, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ipdw_2.0-0-1.ca2004.1_all.deb
Size: 208248
MD5sum: 1c25c2a529246b095569957303762d9c
SHA1: 429b64bc817962ae43316eaa6e5b725f98c1f440
SHA256: e8c59be592c34a32c3ecb1e15b57535288ac4eb7a053e360ee209013f9937c1a
SHA512: 513f5bc843e2423c0a01fd05fd524f37a5da44657527c35377753c98bd08189678d7fec81330e428634aed232eb03dec51713e74ab4170eb10aaad643a984d7a
Homepage: https://cran.r-project.org/package=ipdw
Description: CRAN Package 'ipdw' (Spatial Interpolation by Inverse Path Distance Weighting)
 Functions are provided to interpolate geo-referenced point data via Inverse
 Path Distance Weighting. Useful for coastal marine applications where
 barriers in the landscape preclude interpolation with Euclidean distances.

Package: r-cran-ipeadatar
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-curl, r-cran-rlang, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-sjlabelled
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipeadatar_0.1.6-1.ca2004.1_all.deb
Size: 66336
MD5sum: 9f146c3deff6a9fb50c4a31f56d38497
SHA1: 17b0a7432544f194fa8790246d3f50ee5c8f6901
SHA256: 514030122f18ff79b85fc50ed56c30a00719f3978f9a667c4173042cfec0cc07
SHA512: 1f6020d628255f191651d03b2a97183d0818871fc45f45426a014946b3ee9855705f50ede6a8289e1d750ce2c8068281dd042f489af69939d82af7349cf5e20c
Homepage: https://cran.r-project.org/package=ipeadatar
Description: CRAN Package 'ipeadatar' (API Wrapper for 'Ipeadata')
 Allows direct access to the macroeconomic, financial and regional database
 maintained by Brazilian Institute for Applied Economic Research ('Ipea').
 This R package uses the 'Ipeadata' API. For more information, see
 <http://www.ipeadata.gov.br/>.

Package: r-cran-ipeaplot
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-ggplot2, r-cran-paletteer, r-cran-scales, r-cran-rlang, r-cran-ggthemes
Suggests: r-cran-abjdata, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-geobr, r-cran-knitr, r-cran-patchwork, r-cran-purrr, r-cran-reshape, r-cran-rmarkdown, r-cran-sf, r-cran-sysfonts, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ipeaplot_0.4.1-1.ca2004.1_all.deb
Size: 279996
MD5sum: c3b3f6761a072e00b16832ef3b71f293
SHA1: 56958839360230854e5c7aef8686149b27261513
SHA256: 84c80bd3e271e9cb80c457f7f48b2b922e1d1a40025307dfb0ebb26ac9d17d01
SHA512: cdd378229bf06ee50c5d0b14d5bd39f8519a7ec3960b226b646c5f13ed17b1be6dfef72819549d0b7d722ec23f31d1565972686779a59bf670c0657505a5153f
Homepage: https://cran.r-project.org/package=ipeaplot
Description: CRAN Package 'ipeaplot' (Add Ipea Editorial Standards to 'ggplot2' Graphics)
 Convenient functions to create 'ggplot2' graphics following the editorial
 guidelines of the Institute for Applied Economic Research (Ipea).

Package: r-cran-ipec
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-numderiv, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ipec_1.1.0-1.ca2004.1_all.deb
Size: 216208
MD5sum: 1c11772535393aba3f56c74f7db767aa
SHA1: 5cd7b4a5ea48ae2a7cd810c757a9760c9ac2411b
SHA256: 2940bd14eb5e40d71e48d49d6b3be7a0456f14661e7b71206ac2c45ef670ecb8
SHA512: 030ebf1fdc4617ecc51200ef238f8cbc3b3de11797ad4f2509b97b89abb510cb58c17700b3fd23f53190e06f40a66088d917deb55d7c5ce4a2532aa2ae0fe103
Homepage: https://cran.r-project.org/package=IPEC
Description: CRAN Package 'IPEC' (Root Mean Square Curvature Calculation)
 Calculates the RMS intrinsic and parameter-effects curvatures of a nonlinear
 regression model. The curvatures are global measures of assessing whether a
 model/data set combination is close-to-linear or not. See Bates and Watts
 (1980) <doi:10.1002/9780470316757> and Ratkowsky and Reddy (2017)
 <doi:10.1093/aesa/saw098> for details.

Package: r-cran-ipeds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3795
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipeds_0.1.0-1.ca2004.1_all.deb
Size: 3616176
MD5sum: c9d734b16db4fe67ecdacfcbbd501ad3
SHA1: d90af92daccd539de60df1529f410edadc3c98a0
SHA256: 1ade3ba9cfff78d023a12d4f050536bc69cf6dda96220fd01a2c007531bab5f3
SHA512: 8a5b54c792f341a47dc99e79fcd43e59280bf89dda7dee56d63e2821d1f00ee60963654e7adf92b623cdce48f1273cae16d42b9922f4e592b1b8a3e68b1deddb
Homepage: https://cran.r-project.org/package=IPEDS
Description: CRAN Package 'IPEDS' (Data from the Integrated Post-Secondary Education Data System)
 Contains data on Post-Secondary Institution Statistics in 2020
 <https://nces.ed.gov/ipeds/use-the-data>. The package allows easy access to
 a wide variety of information regarding Post-secondary Institutions, its
 students, faculty, and their demographics, financial aid, educational and
 recreational offerings, and completions. This package can be used by
 students, college counselors, or involved parents interested in pursuing
 higher education, considering their options, and securing admission into
 their school of choice.

Package: r-cran-ipedsuploadables
Architecture: all
Version: 2.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 640
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-svdialogs, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipedsuploadables_2.10.0-1.ca2004.1_all.deb
Size: 319424
MD5sum: 3e02f81d81918dcfa2ab9ce0175611b7
SHA1: 9eb4e70e7e9181ed7365e5d6a332a635842bc1d4
SHA256: 46367a47dcfecf7564534b16db7b21502a4b16983790a7dab7277793dd926b61
SHA512: e5be0812ee70962ac57276504c2de330342f3e6bbb32b63e868b78dd28cf344a4c268c11c30b108d44371df555e699e9f6914218d3fd1892885d11e6ca6de8ee
Homepage: https://cran.r-project.org/package=IPEDSuploadables
Description: CRAN Package 'IPEDSuploadables' (Transforms Institutional Data into Text Files for IPEDSAutomated Import/Upload)
 Starting from user-supplied institutional data, these scripts transform,
 aggregate, and reshape the information to produce key-value pair data files
 that are able to be uploaded to IPEDS (Integrated Postsecondary Education
 Data System) through their submission portal
 <https://surveys.nces.ed.gov/ipeds/>. Starting data specifications can be
 found in the vignettes.  Final files are saved locally to a location of the
 user's choice.  User-friendly readable files can also be produced for
 purposes of data review and validation.

Package: r-cran-iperform
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-matrixstats
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iperform_0.0.3-1.ca2004.1_all.deb
Size: 242004
MD5sum: 4dba4a68650068378837124ae9a0a00c
SHA1: caa9b04cbe653f27510cc439992bee21291a11b9
SHA256: ca9bbfa65b1ac892b8ddcf28ef18880f63cbb8d2e78e7a78e184ef1f8b80cac8
SHA512: addfb6021338f2d29bc679e0f3b369e1bbeeb9cda2cc802a97ab5448f76c35af82d37b5caedaca0e7ece61946aab2532fa34c09bcc8372eb68e815d830e65149
Homepage: https://cran.r-project.org/package=iperform
Description: CRAN Package 'iperform' (Time Series Performance)
 A tool to calculate the performance of a time series in a specific date or
 period. It is more intended for data analysis in the fields of finance,
 banking, telecommunications or operational marketing.

Package: r-cran-ipflasso
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ipflasso_1.1-1.ca2004.1_all.deb
Size: 54664
MD5sum: dba0d1d18be9eddf238051e46eea5bc2
SHA1: 8b36ce0c95cd1fdc717bbacf911486213dbd3aae
SHA256: 1302d9253cce231a394c44ebb72d3ecd95f8a369435abc17282fb729319a9e83
SHA512: f5ea7166bceee79f7b217d84a9a60710f719155e68420df54ceb163d2c289127eaf98a103d25bb2928ff776d8f41daee2fd182712db58d3f73d5affdbe8df4c1
Homepage: https://cran.r-project.org/package=ipflasso
Description: CRAN Package 'ipflasso' (Integrative Lasso with Penalty Factors)
 The core of the package is cvr2.ipflasso(), an extension of glmnet to be
 used when the (large) set of available predictors is partitioned into
 several modalities which potentially differ with respect to their
 information content in terms of prediction. For example, in biomedical
 applications patient outcome such as survival time or response to therapy
 may have to be predicted based on, say, mRNA data, miRNA data, methylation
 data, CNV data, clinical data, etc. The clinical predictors are on average
 often much more important for outcome prediction than the mRNA data. The
 ipflasso method takes this problem into account by using different penalty
 parameters for predictors from different modalities. The ratio between the
 different penalty parameters can be chosen from a set of optional candidates
 by cross-validation or alternatively generated from the input data.

Package: r-cran-ipfr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr, r-cran-mlr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ipfr_1.0.2-1.ca2004.1_all.deb
Size: 133436
MD5sum: 1d29309c3d8ba621283fe0fdc2e03e75
SHA1: c44d7f33059b2027d604300c354f43471b9c70f4
SHA256: 39838adc8b599db20ef3bee9c1c58cf45c88cd28bef49a25ab30d3d99e45587d
SHA512: 220cdd1909a60be0da5976ceb2ff3022f6d54f06b4d754649064440696ac05fba8438b3c53184afb07cec8b66211aaad06eb5df47820e37a55df89c9977ab585
Homepage: https://cran.r-project.org/package=ipfr
Description: CRAN Package 'ipfr' (List Balancing for Reweighting and Population Synthesis)
 Performs iterative proportional updating given a seed table and an arbitrary
 number of marginal distributions. This is commonly used in population
 synthesis, survey raking, matrix rebalancing, and other applications. For
 example, a household survey may be weighted to match the known distribution
 of households by size from the census. An origin/ destination trip matrix
 might be balanced to match traffic counts.  The approach used by this
 package is based on a paper from Arizona State University (Ye, Xin, et. al.
 (2009)
 <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.537.723&rep=rep1&type=pdf>).
 Some enhancements have been made to their work including primary and
 secondary target balance/importance, general marginal agreement, and weight
 restriction.

Package: r-cran-ipkg
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-remotes, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipkg_1.1.3-1.ca2004.1_all.deb
Size: 17204
MD5sum: 1ca1fa7fb7dbea13441ef1ee871060e3
SHA1: dfe1d2ea36ec742fe5c9986c3f7105bdb6d8b0fe
SHA256: 4c4e958c2483484b1c652123c6bf48998571e84e2985de3d06cdb2fdbc1d939c
SHA512: 3874fa17bcb574db091f8444d60e03e2197a3ea66f2d1f661a2e1dd2e6793cc9e2e8756a4b8d164e36889822a29ab7d9944d0745e021739842408f7c4ee1f31c
Homepage: https://cran.r-project.org/package=ipkg
Description: CRAN Package 'ipkg' (Install R Packages or Download File from GitHub via the ProxySite)
 When you want to install R package or download file from GitHub, but you
 can't access GitHub, this package helps you install R packages or download
 file from GitHub via the proxy website <https://gh-proxy.com/> or
 <https://ghfast.top/>, which is in real-time sync with GitHub.

Package: r-cran-iplgp
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 827
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-sommer
Filename: pool/dists/focal/main/r-cran-iplgp_2.0.5-1.ca2004.1_all.deb
Size: 730296
MD5sum: 7e9929caf681e5d87565b435eb17945e
SHA1: 4fd8a3e1c96987f4a7e58efae7705b3545795291
SHA256: 85406fc24c5bb781c63f955252dcda48068145a79c09b9d9a9a7bb310d6c8544
SHA512: 5a68078ed6be69a3d506c4be31151fe323c0ae17db54e0c4d2c3d8a0842ffddfa3961b232403d86eae3f3f4cffd5d14f9934d3378ebed9e7e82690a34bdc0f46
Homepage: https://cran.r-project.org/package=IPLGP
Description: CRAN Package 'IPLGP' (Identification of Parental Lines via Genomic Prediction)
 Combining genomic prediction with Monte Carlo simulation, three different
 strategies are implemented to select parental lines for multiple traits in
 plant breeding. The selection strategies include (i) GEBV-O considers only
 genomic estimated breeding values (GEBVs) of the candidate individuals; (ii)
 GD-O considers only genomic diversity (GD) of the candidate individuals; and
 (iii) GEBV-GD considers both GEBV and GD. The above method can be seen in
 Chung PY, Liao CT (2020) <doi:10.1371/journal.pone.0243159>. Multi-trait
 genomic best linear unbiased prediction (MT-GBLUP) model is used to
 simultaneously estimate GEBVs of the target traits, and then a selection
 index is adopted to evaluate the composite performance of an individual.

Package: r-cran-iplookupapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iplookupapi_0.1.0-1.ca2004.1_all.deb
Size: 19672
MD5sum: 39ca27696904e0a11ad029cec96d5d71
SHA1: e05839a1742db751a74a7ef66be6a4277b3be91a
SHA256: 316e7be317284d46e4240bc8b4479975d9e0cd929882cc4226384ec8b823f918
SHA512: 48f6dc2b2f69fa614477fb3cd099064ab1b16242e0d86245558fdd294d7a71f77a3e2ba5f40284ac8c43675da3497f3c261a2932f7e54ecbc4dc1ae497cab9ca
Homepage: https://cran.r-project.org/package=iplookupapi
Description: CRAN Package 'iplookupapi' (Client for the 'iplookupapi.com' IP Lookup API)
 An R client for the 'iplookupapi.com' IP Lookup API. The API requires
 registration of an API key. Basic features are free, some require a paid
 subscription. You can find the full API documentation at
 <https://iplookupapi.com/docs> .

Package: r-cran-iplots
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-png
Suggests: r-cran-maps, r-cran-mass
Filename: pool/dists/focal/main/r-cran-iplots_1.1-8-1.ca2004.1_all.deb
Size: 588640
MD5sum: 4f080bb5b6ac291eba7048dd16056460
SHA1: 44065373746655e982d5c162c780ba951cdc3cc6
SHA256: ac4146f889edcd646cc135e6e0b9bde8217c4331c69a68d8e99747d4c35b1b20
SHA512: 1984cd2fe7e63e27f1349cbdf11db45f688dcf0f8db15401301744c0f83e20a8a445bfb43f0e4c3a126152c374b0ec5c33f7dd44d34c0b49d9fc3a39224c2b8c
Homepage: https://cran.r-project.org/package=iplots
Description: CRAN Package 'iplots' (iPlots - Interactive Graphics for R)
 Interactive plots for R.

Package: r-cran-ipmbook
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind
Filename: pool/dists/focal/main/r-cran-ipmbook_0.1.5-1.ca2004.1_all.deb
Size: 268384
MD5sum: ce14024d840dbebe4a7b2d4703504903
SHA1: ccd69f116e62e12375e299212568bc86dab18385
SHA256: d46aa7d376100d4e93dd8d00d005cc619925d77a352aace5d140456798cb91a5
SHA512: 2832982ac3dd6f5affe5fc110a59b9a44aaf45f98dc69c30bc304a879a45306327d5a8b58a64dbe513bacce65a93a527a4ab56bb4ca46de1b62d8799590dd588
Homepage: https://cran.r-project.org/package=IPMbook
Description: CRAN Package 'IPMbook' (Functions and Data for the Book 'Integrated Population Models')
 Provides functions and data sets to accompany the book 'Integrated
 Population Models: Theory and Ecological Applications with R and JAGS' by
 Michael Schaub and Marc Kéry (ISBN: 9780128205648).

Package: r-cran-ipolygrowth
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-growthrates, r-cran-kableextra, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ipolygrowth_1.0.0-1.ca2004.1_all.deb
Size: 105512
MD5sum: 6964f48b37b615a42c475de0c2e7471a
SHA1: 0eafeccee59043deb4d87bffead6aa31562a636b
SHA256: c047e9e72d0c2faaeed69fd558805c469fcf4062d5a128ed23fd2fe4596be8df
SHA512: 18f58424a0982e901c7bd6d0e2a1e68e7643c58796ae7f33e5a055c6c5388e8aa4d2b1d6944b478f829199f02a78b8ea92bd72e0c3fab81d8f717ebbe09c0689
Homepage: https://cran.r-project.org/package=ipolygrowth
Description: CRAN Package 'ipolygrowth' (Individual Growth Curve Parameter Calculation using PolynomialFunctions)
 Calculation of key bacterial growth curve parameters using fourth degree
 polynomial functions.  Six growth curve parameters are provided including
 peak growth rate, doubling time, lag time, maximum growth, and etc.
 'ipolygrowth' takes time series data from individual biological samples
 (with technical replicates) or multiple samples.

Package: r-cran-ippp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ippp_1.1-1.ca2004.1_all.deb
Size: 65420
MD5sum: ca0dc1707c65b78f67cf93bc2bee9fc3
SHA1: efb55a0edeee6bb7d732cae0436048bb438823d1
SHA256: ac8f70d0d31830aba2dcb46e81cac6dc5a5de63e54dcc054e18b5913275d71a6
SHA512: 18e4116c06587aa092c248e1194d9779232e3abd50cba4ec0224e8b94afcda7941878fa9c10c71f907d032df06a7c11933a10a4c0b967957824d5d40af47a6a5
Homepage: https://cran.r-project.org/package=IPPP
Description: CRAN Package 'IPPP' (Inhomogeneous Poisson Point Processes)
 Generates random numbers corresponding to the events on a Poisson point
 process with changing event rates. This includes the possibility to
 incorporate additional information such as the number of events occurring or
 the location of an already known event. It can also generate the probability
 density functions of specific events in the cases where additional
 information is available. Based on Hohmann (2019) <arXiv:1901.10754>.

Package: r-cran-ipr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ipr_0.1.0-1.ca2004.1_all.deb
Size: 18404
MD5sum: 3ca2cff73dcd1eb0988e0b272a3f8a65
SHA1: c8bf8419790dc76339c3b4cf4b6eefb04b5d8f59
SHA256: 2fd83500e4b1bf4ec28cfa924e6088d68ac9d2b18a693f4a31736e1934a470db
SHA512: cc458f55f6cdd3450d1aad7b66224cb098bdfe23b5c2148d458877834f057311351f33107b5a1fe6909b5fb71881f844bb4e5fa9ecd495fa73be5e2bae98bfea
Homepage: https://cran.r-project.org/package=ipr
Description: CRAN Package 'ipr' (Iterative Proportional Repartition Algorithm)
 Let us consider a sample of patients who can suffer from several diseases
 simultaneously, in a given set of diseases. The goal of the implemented
 algorithm is to estimate the individual average cost of each disease,
 starting from the global health costs available for each patient.

Package: r-cran-iprism
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-hmisc, r-cran-tidyr, r-cran-igraph, r-cran-pbapply, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iprism_0.1.1-1.ca2004.1_all.deb
Size: 2686988
MD5sum: 9bf0dace6d2d267e2de90afa83679ce3
SHA1: f4f0449f86805c5d410b02395df48cd7836136f2
SHA256: 576821dd5e843f6350991692f536b36a5d13ec169906796dba918d913ba058cd
SHA512: 25ec428aa1954b6ade9ba12b6192e745b0dfd2542d5fe4edb4d01b887fec2e91b7aad0d847fdf6873b6b11082e3c680ea59fa3a164067104198cf62bfa7ee7d3
Homepage: https://cran.r-project.org/package=iPRISM
Description: CRAN Package 'iPRISM' (Intelligent Predicting Response to Cancer Immunotherapy ThroughSystematic Modeling)
 Immunotherapy has revolutionized cancer treatment, but predicting patient
 response remains challenging. Here, we presented Intelligent Predicting
 Response to cancer Immunotherapy through Systematic Modeling (iPRISM), a
 novel network-based model that integrates multiple data types to predict
 immunotherapy outcomes. It incorporates gene expression, biological
 functional network, tumor microenvironment characteristics, immune-related
 pathways, and clinical data to provide a comprehensive view of factors
 influencing immunotherapy efficacy. By identifying key genetic and
 immunological factors, it provides an insight for more personalized
 treatment strategies and combination therapies to overcome resistance
 mechanisms.

Package: r-cran-ips
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-data.table, r-cran-phangorn, r-cran-plyr, r-cran-xml
Filename: pool/dists/focal/main/r-cran-ips_0.0.12-1.ca2004.1_all.deb
Size: 400108
MD5sum: c1fbe5b7657d977c831391981aeec170
SHA1: be86c0d570f87c56c4bf7ecf1e8cef1ca51791f5
SHA256: 0a48e1880efea483f4c9578ea556dea4444ee0cc943b84e6f843e7fa25beefd9
SHA512: 76d57d26bd6ffdb87b7968798f74e4f15c1e064172746cc4d954800d99b2ca180112f67d1ad8d58846d6c16058d78add0189ba61ad688ec395acecb0de0a6756
Homepage: https://cran.r-project.org/package=ips
Description: CRAN Package 'ips' (Interfaces to Phylogenetic Software in R)
 Functions that wrap popular phylogenetic software for sequence alignment,
 masking of sequence alignments, and estimation of phylogenies and ancestral
 character states.

Package: r-cran-ipsfs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ipsfs_1.0.0-1.ca2004.1_all.deb
Size: 208632
MD5sum: 8fb3557d9f10c199e40b1feb1801c820
SHA1: 88c4f3fb4a9cd517aac22a6bf02858f12edf9d87
SHA256: cd00371cb10a59948a05b40db734945f81c97f7e4014fcc4b01c215be05c1fb7
SHA512: 63cc89f824f5ed1b06922b1116ec01bbf9838103819a8ea0f043f60fcdf2d1eee3d8a1eb843b879a5a23848fe748c91f434ad8f1a00a34dbbff868fc8352e2d4
Homepage: https://cran.r-project.org/package=ipsfs
Description: CRAN Package 'ipsfs' (Intuitionistic, Pythagorean, and Spherical Fuzzy SimilarityMeasure)
 Advanced fuzzy logic based techniques are implemented to compute the
 similarity among different objects or items. Typically, application areas
 consist of transforming raw data into the corresponding advanced fuzzy logic
 representation and determining the similarity between two objects using
 advanced fuzzy similarity techniques in various fields of research, such as
 text classification, pattern recognition, software projects,
 decision-making, medical diagnosis, and market prediction. Functions are
 designed to compute the membership, non-membership, hesitant-membership,
 indeterminacy-membership, and refusal-membership for the input matrices.
 Furthermore, it also includes a large number of advanced fuzzy logic based
 similarity measure functions to compute the Intuitionistic fuzzy similarity
 (IFS), Pythagorean fuzzy similarity (PFS), and Spherical fuzzy similarity
 (SFS) between two objects or items based on their fuzzy relationships. It
 also includes working examples for each function with sample data sets.

Package: r-cran-ipsrdbs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5717
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rdpack, r-cran-ggplot2, r-cran-extradistr
Suggests: r-cran-xtable, r-cran-ggally, r-cran-magick, r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-huxtable, r-cran-rcolorbrewer, r-cran-markdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-ipsrdbs_1.0.0-1.ca2004.1_all.deb
Size: 3689508
MD5sum: ed62a89e58caf93e2c60d0a903db54ed
SHA1: fdf92e019e34c93330b997918566ee00e05e51b1
SHA256: b72f09b1cc2dcdeade481edf3f08f7ae4f6583e37ccd54d527c31056c910d35d
SHA512: d727b2e0f678229cc81304e33a28566f41e085008c292b7e5e964ec9fad2b9f325ca46b95f9ee26540469e83bd6117990a13a043443a2d395fa12c6867af73b2
Homepage: https://cran.r-project.org/package=ipsRdbs
Description: CRAN Package 'ipsRdbs' (Introduction to Probability, Statistics and R for Data-BasedSciences)
 Contains data sets, programmes and illustrations discussed in the book,
 "Introduction to Probability, Statistics and R: Foundations for Data-Based
 Sciences."  Sahu (2024, isbn:9783031378645) describes the methods in detail.

Package: r-cran-ipumsr
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3658
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-haven, r-cran-hipread, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-purrr, r-cran-r6, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-xml2, r-cran-zeallot
Suggests: r-cran-biglm, r-cran-covr, r-cran-crayon, r-cran-dbi, r-cran-dbplyr, r-cran-dt, r-cran-ggplot2, r-cran-htmltools, r-cran-knitr, r-cran-rmapshaper, r-cran-rmarkdown, r-cran-rsqlite, r-cran-rstudioapi, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-testthat, r-cran-tidyr, r-cran-vcr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ipumsr_0.9.0-1.ca2004.1_all.deb
Size: 2681200
MD5sum: a30d34a9f249e9b48b4c3c0ca1e0bbed
SHA1: f73f9271a6773a344209942366e86e73f8c916f8
SHA256: 7790003476ff226b72ce93df8ff2419858f69ef474ad7121d640ee9a970b81ff
SHA512: 88d5aca33355f6b3b42dafc7ccec271de479576056392b4d1abdb1413923b9d76bc5d6f5350198e5d6a925930b14b20371ce041da75424d3f31bf274002dc596
Homepage: https://cran.r-project.org/package=ipumsr
Description: CRAN Package 'ipumsr' (An R Interface for Downloading, Reading, and Handling IPUMS Data)
 An easy way to work with census, survey, and geographic data provided by
 IPUMS in R. Generate and download data through the IPUMS API and load IPUMS
 files into R with their associated metadata to make analysis easier. IPUMS
 data describing 1.4 billion individuals drawn from over 750 censuses and
 surveys is available free of charge from the IPUMS website
 <https://www.ipums.org>.

Package: r-cran-ipv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3836
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggforce, r-cran-ggplot2, r-cran-stringr, r-cran-lavaan, r-cran-matrix, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-extrafont, r-cran-readxl, r-cran-cowplot, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-ipv_1.0.0-1.ca2004.1_all.deb
Size: 3456316
MD5sum: d9eff918e594aa995a36055e95a9b12a
SHA1: 393c24d964693dcb3f0ec0783e2f23b855518527
SHA256: 886ad3598cb5b20d19d38dba136d95bb13d1a8253042f5646503153181ec6869
SHA512: 6856e08cd1150815923f86580a1609cf0a2e1bd64d7bdf540f69d7b15741b22d6248773e40ff924b8b2a0f6ff0530d27dd2ef9ddd21835514153233575710d6b
Homepage: https://cran.r-project.org/package=IPV
Description: CRAN Package 'IPV' (Item Pool Visualization)
 Generate plots based on the Item Pool Visualization concept for latent
 constructs. Item Pool Visualizations are used to display the conceptual
 structure of a set of items (self-report or psychometric).  Dantlgraber,
 Stieger, & Reips (2019) <doi:10.1177/2059799119884283>.

Package: r-cran-ipw
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-nnet, r-cran-survival, r-cran-geepack
Suggests: r-cran-nlme, r-cran-survey, r-cran-boot
Filename: pool/dists/focal/main/r-cran-ipw_1.2.1-1.ca2004.1_all.deb
Size: 170172
MD5sum: 17d9ac4f9c4e3ec348737cff46d22bc6
SHA1: d49b2452cf57f35263fc26d2dc8f88ad93ed8144
SHA256: 6d128d80086bee9897bc84fc2f1e5d7a1548c32b01ef6459792249f4ce036075
SHA512: 97822f5dc4e822576a3e7e4c5fec10670a86aa9e59e652883032762705458251ff26fb67c2b536397e74ea3dd629821f2c7cee35e7a70d17cf301fe0ac721e18
Homepage: https://cran.r-project.org/package=ipw
Description: CRAN Package 'ipw' (Estimate Inverse Probability Weights)
 Functions to estimate the probability to receive the observed treatment,
 based on individual characteristics. The inverse of these probabilities can
 be used as weights when estimating causal effects from observational data
 via marginal structural models. Both point treatment situations and
 longitudinal studies can be analysed. The same functions can be used to
 correct for informative censoring.

Package: r-cran-ipwboxplot
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-isotone
Suggests: r-cran-mice, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ipwboxplot_0.1.2-1.ca2004.1_all.deb
Size: 65092
MD5sum: 171987863c11dab7e0926668b121bfc5
SHA1: b053bfa3dfdda803c1303117b20cfe578d83f55e
SHA256: d9030e17cdc4f1ed3b74169c262d80f6797e44ee142af96316dc0a32e0ca1aa9
SHA512: 78cc774c461fd84a4ad4e9b56a414f1014afbdc1db0f5447176de75707ab25ac02db411b41de29adad201d49cee16843841c866eb3a073e93112dcdf06b58856
Homepage: https://cran.r-project.org/package=IPWboxplot
Description: CRAN Package 'IPWboxplot' (Adapted Boxplot to Missing Observations)
 Boxplots adapted to the happenstance of missing observations where drop-out
 probabilities can be given by the practitioner or modelled using auxiliary
 covariates. The paper of "Zhang, Z., Chen, Z., Troendle, J. F. and Zhang,
 J.(2012) <doi:10.1111/j.1541-0420.2011.01712.x>", proposes estimators of
 marginal quantiles based on the Inverse Probability Weighting method.

Package: r-cran-ipwcoxcsv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ipwcoxcsv_1.0-1.ca2004.1_all.deb
Size: 47736
MD5sum: a541ef47d6b8dc844b3bec13d5b55760
SHA1: e619ca450b64bdd0155c98b41f7f75912f391528
SHA256: c5d7cd52d8d1b60ff3b198d2fffcb662f7ad1f447f59f08b8b3a18bbaafb7dc5
SHA512: ff85943757d5cc9fa0a9575d13f8b4210ff1c51217ef2b26634b40915c4f70a2d00e8bba3db53144f7d4fb22f59f9603093975f19cad3411823cddc627b14721
Homepage: https://cran.r-project.org/package=ipwCoxCSV
Description: CRAN Package 'ipwCoxCSV' (Inverse Probability Weighted Cox Model with Corrected SandwichVariance)
 An implementation of corrected sandwich variance (CSV) estimation method for
 making inference of marginal hazard ratios (HR) in inverse probability
 weighted (IPW) Cox model without and with clustered data, proposed by Shu,
 Young, Toh, and Wang (2019) in their paper under revision for Biometrics.
 Both conventional inverse probability weights and stabilized weights are
 implemented. Logistic regression model is assumed for propensity score
 model.

Package: r-cran-ipwerrory
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-ipwerrory_2.1-1.ca2004.1_all.deb
Size: 73052
MD5sum: a294070c6ded040cf4c87ec45aac99c4
SHA1: aeffa931b459943dcbfafb19940f97fc9cbcbc1a
SHA256: 7a4fe77cff7c67490d5995302f940f8ac7cf0a8370c6122d47294d1e18414ebf
SHA512: 0e4a68467e5202ea7581168ee852a410329838093872763d086131bbfbdb718fc7a5e602a15bf56b1e9352d76b38805f2162f241b04dc414ac8c6ad0b8e06709
Homepage: https://cran.r-project.org/package=ipwErrorY
Description: CRAN Package 'ipwErrorY' (Inverse Probability Weighted Estimation of Average TreatmentEffect with Misclassified Binary Outcome)
 An implementation of the correction methods proposed by Shu and Yi (2017)
 <doi:10.1177/0962280217743777> for the inverse probability weighted (IPW)
 estimation of average treatment effect (ATE) with misclassified binary
 outcomes. Logistic regression model is assumed for treatment model for all
 implemented correction methods, and is assumed for the outcome model for the
 implemented doubly robust correction method. Misclassification probability
 given a true value of the outcome is assumed to be the same for all
 individuals.

Package: r-cran-ipwpn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mplusautomation, r-cran-tidyverse, r-cran-mvtnorm, r-cran-dplyr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ipwpn_0.1.0-1.ca2004.1_all.deb
Size: 47092
MD5sum: 09e996b7aeb3053dae33572daba1f7d1
SHA1: 1bc7603480c1b0b860a231c515dcdea8910ac29c
SHA256: b141644b7fdb6b121f30b3f0a2912a2f024a7e4125221cb36db64c85169a663f
SHA512: 6ee32f12b08be8d53b5cf88a95d9dfe2d9774901f602b93c418e67857cda7b18c5f7942bd8be1a714f3a9c2fe6944d21fbb696fadf97969d2f2504e96051970b
Homepage: https://cran.r-project.org/package=IPWpn
Description: CRAN Package 'IPWpn' (Inverse-Propensity-Weighting for Partially Nested Designs)
 Use inverse-propensity-weighted estimation approaches to estimating the
 treatment effect from a partially nested design where one study arm (the
 treatment arm) is nested and the other study arm (the control arm) is not.
 Two estimators are provided: IPW mean difference and IPW multilevel
 modeling. <https://github.com/xliu12/IPWpn>.

Package: r-cran-iqcc
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-misctools, r-cran-qcc, r-cran-mass
Filename: pool/dists/focal/main/r-cran-iqcc_0.7-1.ca2004.1_all.deb
Size: 96892
MD5sum: 9cd1f23884b332adf3dbd9c551a0b48d
SHA1: 912957c56422c14f37e4712711c0d09ac498021c
SHA256: 320c1039166a9bcd6e937193b38d66bbd58d661adb99f2c21f9029ec9e49810c
SHA512: 8ba4eb8da573e9092e0431e724a0565042c6cfadd9865963e1a8dba4c264a5cc7d63cfaedb1a5e0a59370e50c485058920e0f4aff9f9251732105e9fbe1b80c2
Homepage: https://cran.r-project.org/package=IQCC
Description: CRAN Package 'IQCC' (Improved Quality Control Charts)
 Builds statistical control charts with exact limits for univariate and
 multivariate cases.

Package: r-cran-iqlearn
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iqlearn_1.5-1.ca2004.1_all.deb
Size: 431156
MD5sum: e77bc0b344716e86de785719d477d098
SHA1: 4778fa7e31f5e8b6d96f8d5b85a49d147efe967b
SHA256: e746be3c495335fa5aa09ae1b50ab7ce9594b9fca796abe257ad6324a580a123
SHA512: f1c714bb1e445ec468af88ad2923134f1413902759d82b2f460255b039d9e132cd0ffe88c0ef40e1fcb4da77a38096399e0b2f65b3c6d7372f44f1d0977fea55
Homepage: https://cran.r-project.org/package=iqLearn
Description: CRAN Package 'iqLearn' (Interactive Q-Learning)
 Estimate an optimal dynamic treatment regime using Interactive Q-learning.

Package: r-cran-ir
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4895
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-ggplot2, r-cran-stringr, r-cran-hyperspec, r-cran-rlang, r-cran-units, r-cran-rdpack, r-cran-magrittr, r-cran-lifecycle
Suggests: r-cran-baseline, r-cran-chemospec, r-cran-kableextra, r-cran-fda, r-cran-knitr, r-cran-quantities, r-cran-rmarkdown, r-cran-signal, r-cran-spelling, r-cran-vctrs, r-cran-tidyselect, r-cran-prospectr
Filename: pool/dists/focal/main/r-cran-ir_0.4.1-1.ca2004.1_all.deb
Size: 2714192
MD5sum: 6911b0145d997129e4dd084517c94380
SHA1: f5efca6265afbd2f30914f01611f71d29494eb0c
SHA256: 1a514684845b11f61d04b8830c8d99f9acda0acc2f1ec4612f70553ea2699370
SHA512: 583a7bed0d57f79c1c2a93cf8225cff93e2b0d5d535b507562445bac5172ad8360863c6b5a3d98cad84e6fdf0c10bc5b5522747eca9be4bb976032ff597c90d7
Homepage: https://cran.r-project.org/package=ir
Description: CRAN Package 'ir' (Functions to Handle and Preprocess Infrared Spectra)
 Functions to import and handle infrared spectra (import from '.csv' and
 Thermo Galactic's '.spc', baseline correction, binning, clipping,
 interpolating, smoothing, averaging, adding, subtracting, dividing,
 multiplying, atmospheric correction, 'tidyverse' methods, plotting).

Package: r-cran-iraceplot
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-irace, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-fs, r-cran-ggforce, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-labeling, r-cran-matrixstats, r-cran-plotly, r-cran-rlang, r-cran-rmarkdown, r-cran-tibble, r-cran-tidyr, r-cran-truncnorm, r-cran-viridislite, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iraceplot_2.1.0-1.ca2004.1_all.deb
Size: 424528
MD5sum: 471cc1fb600de8debd9b34c9180c5d08
SHA1: c66dde0a1b9204b6c3d79e8abc5307eddcf70999
SHA256: ebce854e2914e6a1fa921a725b50764e3541d5c5acb8ff65a0eb280563ce5948
SHA512: 708491fbb7026127b94e334f7010108cc90b97c8f9851e544bf4511d4bce3cfc6f2cf6eef3494c0a3bb525a8b1bc6314d6e8db01c141e45e367ab42ba2cd8e9b
Homepage: https://cran.r-project.org/package=iraceplot
Description: CRAN Package 'iraceplot' (Plots for Visualizing the Data Produced by the 'irace' Package)
 Graphical visualization tools for analyzing the data produced by 'irace'.
 The 'iraceplot' package enables users to analyze the performance and the
 parameter space data sampled by the configuration during the search process.
 It provides a set of functions that generate different plots to visualize
 the configurations sampled during the execution of 'irace' and their
 performance. The functions just require the log file generated by 'irace'
 and, in some cases, they can be used with user-provided data.

Package: r-cran-irboost
Architecture: all
Version: 0.2-1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mpath, r-cran-xgboost
Suggests: r-cran-r.rsp, r-cran-diagrammer, r-cran-survival, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-irboost_0.2-1.0-1.ca2004.1_all.deb
Size: 442260
MD5sum: 971269b41216830bbab8389407d6d162
SHA1: d81e3463cb9484532c66545c848716fe5b44d6e1
SHA256: 67cbb1961758a546f2153e215ad4f5318ba0e1252a9aaf4f363ab42bd9023e31
SHA512: 6b2c015103076ddd8775c59639357ec351056a925879bb839f30465e06022b68103ddae5717d6db252a70e8317a86f75bb54a67f87eb71475cc109cf5f1bce9b
Homepage: https://cran.r-project.org/package=irboost
Description: CRAN Package 'irboost' (Iteratively Reweighted Boosting for Robust Analysis)
 Fit a predictive model using iteratively reweighted boosting (IRBoost) to
 minimize robust loss functions within the CC-family (concave-convex). This
 constitutes an application of iteratively reweighted convex optimization
 (IRCO), where convex optimization is performed using the functional descent
 boosting algorithm. IRBoost assigns weights to facilitate outlier
 identification. Applications include robust generalized linear models and
 robust accelerated failure time models. Wang (2025)
 <doi:10.6339/24-JDS1138>.

Package: r-cran-irccheck
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-rdpack, r-cran-ggmncv, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-irccheck_1.0.0-1.ca2004.1_all.deb
Size: 147520
MD5sum: 07067b9d68716adcd0f271ec741d94c3
SHA1: d395c0db6141f4414a7096de5918cd5193ec7e31
SHA256: 11c9fa1c3d2ac7549cefa5a6513935821a9a6516c11f479e028c10d68cd3eba0
SHA512: d217178958f35ad93921be8ed4413a1350310f41d6333082d89c1b5032988da131f4b984e90420b09a0422fdf39e2252d0e9e68e7ff09f0cb55b7a1e413bc9dc
Homepage: https://cran.r-project.org/package=IRCcheck
Description: CRAN Package 'IRCcheck' (Irrepresentable Condition Check)
 Check the irrepresentable condition (IRC) in both L1-regularized regression
 <doi:10.1109/TIT.2006.883611> and Gaussian graphical models. The IRC
 requires that the important and unimportant variables are not correlated, at
 least not all that much, and it is necessary for consistent model selection.
 Exploring the IRC as a function of the number of variables, assumed
 sparsity, and effect size can provide valuable insights into the model
 selection properties of L1-regularization.

Package: r-cran-ircor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ircor_1.0-1.ca2004.1_all.deb
Size: 25612
MD5sum: 179330e0c65b1ffb2ec78114e927367a
SHA1: 1e2f30c1bcf92191e160b5a840a041d319f22f92
SHA256: 9002a23d29c30807e6a106af97470e4bc116f4561bbe67bb2ca8142a4de73595
SHA512: d0d89a42157ba0171dcb1694762690acbef55a4b2367d816c9cce19d2e47dfe8473ccca7f7ca4ea432822092f80b7e5c96e92f213a2f438180a736f56d526d25
Homepage: https://cran.r-project.org/package=ircor
Description: CRAN Package 'ircor' (Correlation Coefficients for Information Retrieval)
 Provides implementation of various correlation coefficients of common use in
 Information Retrieval. In particular, it includes Kendall (1970,
 isbn:0852641990) tau coefficient as well as tau_a and tau_b for the
 treatment of ties. It also includes Yilmaz et al. (2008)
 <doi:10.1145/1390334.1390435> tauAP correlation coefficient, and versions
 tauAP_a and tauAP_b developed by Urbano and Marrero (2017)
 <doi:10.1145/3121050.3121106> to cope with ties.

Package: r-cran-irdisplay
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-repr
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-irdisplay_1.1-1.ca2004.1_all.deb
Size: 32672
MD5sum: c6dc38727beeaff6b306ad656d17510b
SHA1: 982c14776ab035ce9904072e9de94bec30edfc07
SHA256: ba2c441f1435a28d5516a6ae16687eab0bbaf613513a3809ff1c5e2bc58cabe4
SHA512: 41bdeb1efb1d171e0ce6ebfb6b2ceb44537ec3e536abb33d5c84774e95496da304049519b94d532d5b341e352d8bd2621d4c776af37b50822d9b52afc2150136
Homepage: https://cran.r-project.org/package=IRdisplay
Description: CRAN Package 'IRdisplay' ('Jupyter' Display Machinery)
 An interface to the rich display capabilities of 'Jupyter' front-ends (e.g.
 'Jupyter Notebook') <https://jupyter.org>.  Designed to be used from a
 running 'IRkernel' session <https://irkernel.github.io>.

Package: r-cran-iregression
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-iregression_1.2.1-1.ca2004.1_all.deb
Size: 127140
MD5sum: bf06bdc0238e3355a9d5d0ca72685301
SHA1: 2c86fd767f1170cd2698c0c5d099e127f06d85d0
SHA256: 1fbad1937b564ebc5f05fb9bf0a38b8006e7f3c12ea843bd281969e5a1ccbd66
SHA512: 321ad238a63819a673e177ff401036eb45830a38dd2f8ce58dc9b87e1b84f868c30ad6aa7291b81dbd1338221d3e46644463d1c6ce876e64c45af77668403d70
Homepage: https://cran.r-project.org/package=iRegression
Description: CRAN Package 'iRegression' (Regression Methods for Interval-Valued Variables)
 Contains some important regression methods for interval-valued variables.
 For each method, it is available the fitted values, residuals and some
 goodness-of-fit measures.

Package: r-cran-irepro
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-irepro_1.2-1.ca2004.1_all.deb
Size: 88524
MD5sum: b15126bff52fb9d7d024cf36a06b9af0
SHA1: 5677c435a9c18f74cc0acef963ab557e08e446dd
SHA256: aafc06ea7bda2639887395751087d561c1295e50af16a0d828ce361f5df224a6
SHA512: 3805e9e0560b7a6e9669e7c80d1099f258315751e019b9bed825566462217009a739c7986063145f5603ca717d30e2b496f13b7e7e16aa2a2d0205fa6ccd3a10
Homepage: https://cran.r-project.org/package=iRepro
Description: CRAN Package 'iRepro' (Reproducibility for Interval-Censored Data)
 Calculates intraclass correlation coefficient (ICC) for assessing
 reproducibility of interval-censored data with two repeated measurements
 (Kovacic and Varnai (2014) <doi:10.1097/EDE.0000000000000139>). ICC is
 estimated by maximum likelihood from model with one fixed and one random
 effect (both intercepts). Help in model checking (normality of subjects'
 means and residuals) is provided.

Package: r-cran-irescale
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-sp, r-cran-e1071, r-cran-rdpack, r-cran-fbasics, r-cran-imager, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-irescale_2.3.0-1.ca2004.1_all.deb
Size: 293900
MD5sum: b398346fa27f566d5c67d5e08c4dd976
SHA1: f339c16c86cfc3f050c1522c2966da3070ead94a
SHA256: 4db478ac82123341fd0c1b4696d36db520f45b3f180fd71196ed33de991396b4
SHA512: 978c3fb67c46232ddd8b97b945eff5fa7f8aec2cf001f6a82b41d9e230c1319ed750c1f583a1c793c86818dd09fc2667a569611087601c35954e711d7ab3c389
Homepage: https://cran.r-project.org/package=Irescale
Description: CRAN Package 'Irescale' (Calculate and Rectify Moran's I)
 Provides a scaling method to obtain a standardized Moran's I measure.
 Moran's I is a measure for the spatial autocorrelation of a data set, it
 gives a measure of similarity between data and its surrounding. The range of
 this value must be [-1,1], but this does not happen in practice. This
 package scale the Moran's I value and map it into the theoretical range of
 [-1,1]. Once the Moran's I value is rescaled, it facilitates the comparison
 between projects, for instance, a researcher can calculate Moran's I in a
 city in China, with a sample size of n1 and area of interest a1. Another
 researcher runs a similar experiment in a city in Mexico with different
 sample size, n2, and an area of interest a2. Due to the differences between
 the conditions, it is not possible to compare Moran's I in a straightforward
 way. In this version of the package, the spatial autocorrelation Moran's I
 is calculated as proposed in Chen(2013) <arXiv:1606.03658>.

Package: r-cran-irexamples
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-twang, r-cran-survey, r-cran-ggplot2, r-cran-ggthemes, r-cran-rstanarm, r-cran-rselenium, r-cran-rvest, r-cran-disimpact, r-cran-forcats, r-cran-tidygeocoder, r-cran-maps, r-cran-geodist, r-cran-sf, r-cran-tigris, r-cran-tidycensus
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-irexamples_0.0.4-1.ca2004.1_all.deb
Size: 820152
MD5sum: 84870e761bef9ace65aef09121c2d6ea
SHA1: 4239e1c5521cd7ff99191abcf6ac068724d90a5e
SHA256: 62e81cdea35a1beabd8fc334580001b650d6ce042693ce331539402927980a00
SHA512: d2a80be990859864550985ef0f64ee8bcc8129bfa3027b71d523c3f21573eddb26fe90730a6882d7cc7f462b5c3e7b0fb6a71d524e55a594d076c21ee61787ad
Homepage: https://cran.r-project.org/package=IRexamples
Description: CRAN Package 'IRexamples' (Collection of Practical Institutional Research Examples andTutorials)
 Provides examples of code for analyzing data or accomplishing tasks that may
 be useful to institutional or educational researchers.

Package: r-cran-irfcb
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zip, r-cran-lifecycle, r-cran-shiny, r-cran-stringr, r-cran-dplyr, r-cran-sf, r-cran-reticulate, r-cran-tidyr, r-cran-ggplot2, r-cran-readr, r-cran-worrms, r-cran-png, r-cran-r.matlab, r-cran-curl, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-irfcb_0.5.1-1.ca2004.1_all.deb
Size: 4058880
MD5sum: 3e20b238fc7c73be49d31b7970993095
SHA1: e5eb59d7b73eff78477c17b7fb43e8dd80ed4378
SHA256: 5bbe759af3b383a98307391aa9d2f6bba50544cdcb94e7ad2a6fde17aa9e63fa
SHA512: 0503475d1cffb908eca74972e7ffe3bc45bed93592000300a98d0d0b6bace95f3fe0782127fbdaa9a3f4ce667346fe40e45d87428903874bcc54cd7d480bfcd0
Homepage: https://cran.r-project.org/package=iRfcb
Description: CRAN Package 'iRfcb' (Tools for Managing Imaging FlowCytobot (IFCB) Data)
 A comprehensive suite of tools for managing, processing, and analyzing data
 from the IFCB. I R FlowCytobot ('iRfcb') supports quality control,
 geospatial analysis, and preparation of IFCB data for publication in
 databases like <https://www.gbif.org>, <https://www.obis.org>,
 <https://emodnet.ec.europa.eu/en>, <https://shark.smhi.se/>, and
 <https://www.ecotaxa.org>. The package integrates with the MATLAB
 'ifcb-analysis' tool, which is described in Sosik and Olson (2007)
 <doi:10.4319/lom.2007.5.204>, and provides features for working with raw,
 manually classified, and machine learning–classified image datasets. Key
 functionalities include image extraction, particle size distribution
 analysis, taxonomic data handling, and biomass concentration calculations,
 essential for plankton research.

Package: r-cran-irg
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-rcpproll, r-cran-chk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-diagrammer, r-cran-ggplot2, r-cran-curl, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-irg_0.1.6-1.ca2004.1_all.deb
Size: 766460
MD5sum: 2e67445e1227676033440021c35459f6
SHA1: aeb6b49cec9a0fb8d7197741f6cb3c78f51324a9
SHA256: b8025f7ecc2660222241aaf6e87538b26761ef52503388ded0a1167b7c2af038
SHA512: 98da652bc6ec9891a49afd40efb991b187a45ffba53328016876b817681b96d56c7ae7b62ca5969650a6d1a2a1c745b6658b410674fddf1b4424180cdceaa85c
Homepage: https://cran.r-project.org/package=irg
Description: CRAN Package 'irg' (Instantaneous Rate of Green Up)
 Fits a double logistic function to NDVI time series and calculates
 instantaneous rate of green (IRG) according to methods described in Bischoff
 et al. (2012) <doi:10.1086/667590>.

Package: r-cran-irir
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12420
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsheet, r-cran-dplyr, r-cran-reshape2, r-cran-ggplot2, r-cran-ggsci, r-cran-wdi, r-cran-scales
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-irir_0.2.2-1.ca2004.1_all.deb
Size: 8870812
MD5sum: 917397e0d84428eb1fd2f7fd30e99452
SHA1: a6b733eeec2bb0ab271f7f45819f8af9c4c9a186
SHA256: dcaf087543983b1450a5946287366963afe8847eae9073279a90197dbf6e7a8e
SHA512: 5c5bb9ab771fa1670ce2820f8748efeec85a60913a31334c2d9a79e92d5262d8b02dfcde93bcd3d83738359a0f19ee5f3f079b3c04da6273c81df593e7b28849
Homepage: https://cran.r-project.org/package=iriR
Description: CRAN Package 'iriR' (Global Innovation Through Company Level Data)
 Researchers and analysts have access to more than 7,500 innovative companies
 worldwide, which are or have been part of the top 1,000 innovative
 companies. They can access the six parameters that compose the global IRI
 Scoreboard's data on R&D: Country, Year, Company's name, Industry, Indicator
 and Company's rank. Please cite: Warin, Th. (2020) "iiriR: An R Package for
 the EU Industrial R&D Investment Scoreboard",
 <doi:10.6084/m9.figshare.11774640.v5>.

Package: r-cran-irismustangmetrics
Architecture: all
Version: 2.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 448
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-irisseismic, r-cran-rcurl, r-cran-seismicroll, r-cran-signal, r-cran-stringr, r-cran-xml, r-cran-pracma, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-irismustangmetrics_2.4.7-1.ca2004.1_all.deb
Size: 396560
MD5sum: c10670e4b4a98d4e009926dba934c069
SHA1: a3b4490056a05a976d2b51b497f577f00db73db5
SHA256: 89dd8307e9b8b9f67b0e493c725988a6cc5986a9968e77f7d9840f3792b6db0a
SHA512: 35688eab3278ccc78f6a798a04fef89b9c7569f1fb1494ea8494f0a5fb5f45565cfabbfb9e2af66bbc5e829ebcb81ad0254a03fe747fa311d19c46645c84d768
Homepage: https://cran.r-project.org/package=IRISMustangMetrics
Description: CRAN Package 'IRISMustangMetrics' (Statistics and Metrics for Seismic Data)
 Classes and functions for metrics calculation as part of the 'EarthScope
 MUSTANG' project. The functionality in this package builds upon the base
 classes of the 'IRISSeismic' package.  Metrics include basic statistics as
 well as higher level 'health' metrics that can help identify problematic
 seismometers.

Package: r-cran-irkernel
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-repr, r-cran-evaluate, r-cran-irdisplay, r-cran-pbdzmq, r-cran-crayon, r-cran-jsonlite, r-cran-uuid, r-cran-digest
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-irkernel_1.3.2-1.ca2004.1_all.deb
Size: 223628
MD5sum: 1fed3e1c2a9dcc5ed19b64a2cbf20c8c
SHA1: e082b9bb20fe235c6608ad0b66f06e214771684f
SHA256: 39a17c807a3da7323714ccf211cffe2dd83f90dcaf9830a9d15379339fad9722
SHA512: e7df14a87619f7d6a850c12655d098321ef6701a58d3812097d86062300add99f25f437a233756d278baccb59b26bccffc9840fa1b7596bed93c6aee0c63ebd4
Homepage: https://cran.r-project.org/package=IRkernel
Description: CRAN Package 'IRkernel' (Native R Kernel for the 'Jupyter Notebook')
 The R kernel for the 'Jupyter' environment executes R code which the
 front-end ('Jupyter Notebook' or other front-ends) submits to the kernel via
 the network.

Package: r-cran-irocode
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-irocode_1.0.1-1.ca2004.1_all.deb
Size: 35632
MD5sum: 7aead031c521b1f97933c4370fc8c01d
SHA1: 780d3c658087717d7ba733a1ed864187fa85495e
SHA256: 068f52b90e21262d9f1e70edc10c9fee12723da6543daa627f503601696a0ded
SHA512: 03be9d8690a7dd585663d59c7c1a91ecefbc437ed41d7901500d1dc08926bc13f95a112a91bfa3339b33fbcaef01d82598bf018d1d6b1c900a3d4036dfe95bf7
Homepage: https://cran.r-project.org/package=iRoCoDe
Description: CRAN Package 'iRoCoDe' (Incomplete Row-Column Designs)
 The Row-column designs are widely recommended for experimental situations
 when there are two well-identified factors that are cross-classified
 representing known sources of variability. These designs are expected to
 result a gain in accuracy of estimating treatment comparisons in an
 experiment as they eliminate the effects of the row and column factors.
 However, these designs are not readily available when the number of
 treatments is more than the levels of row and column blocking factors. This
 package named 'iRoCoDe' generates row-column designs with incomplete rows
 and columns, by amalgamating two incomplete block designs (D1 and D2). The
 selection of D1 and D2 (the input designs) can be done from the available
 incomplete block designs, viz., balanced incomplete block designs/ partially
 balanced incomplete block designs/ t-designs. (Mcsorley, J.P., Phillips,
 N.C., Wallis, W.D. and Yucas, J.L. (2005).<doi:10.1007/s10623-003-6149-9>).

Package: r-cran-irr2fpr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-irr2fpr_0.1.1-1.ca2004.1_all.deb
Size: 45984
MD5sum: 3c7d9d9822f2770cef344831226a9c0c
SHA1: 9ed2cb0f7b3a4faf633346e0897bc56984d6823c
SHA256: cbae9df9c82d5beb224d35cb26e8c42c433b7b34d59bf920226302cf1febfe21
SHA512: ae2b9b8edd1a3d7537ae2fd680a78f2e8522d745115334c40cfbc0a5f757ba3c69d8750582783e530c17d9959d1f5366d34fd9e1a14b39e597cd8bb172937282
Homepage: https://cran.r-project.org/package=IRR2FPR
Description: CRAN Package 'IRR2FPR' (Computing False Positive Rate from Inter-Rater Reliability)
 Implements a 'Shiny Item Analysis' module and functions for computing false
 positive rate and other binary classification metrics from inter-rater
 reliability based on Bartoš & Martinková (2024) <doi:10.1111/bmsp.12343>.

Package: r-cran-irr
Architecture: all
Version: 0.84.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-irr_0.84.1-1.ca2004.1_all.deb
Size: 148840
MD5sum: ba19d9f1640054607f0559ee941ee32b
SHA1: d4fc2a00fe52b8b60b1e58b0605b8cc21548c2f9
SHA256: f296fb291cf1570d63cd59133e9b7ffc971411bdce561d9f26f3548a187e0e86
SHA512: 63d4277b1b336526db900aa40a3bdd7a86fe2458145870c4460303d6a85edd152d2b40a5e6f2d018844302de653f86a0bd0f522d1598a0733177af1d78f515f1
Homepage: https://cran.r-project.org/package=irr
Description: CRAN Package 'irr' (Various Coefficients of Interrater Reliability and Agreement)
 Coefficients of Interrater Reliability and Agreement for quantitative,
 ordinal and nominal data: ICC, Finn-Coefficient, Robinson's A, Kendall's W,
 Cohen's Kappa, ...

Package: r-cran-irrcac
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 828
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-irrcac_1.0-1.ca2004.1_all.deb
Size: 673204
MD5sum: ab8355f4b2c534055c5dcdd7c0138fa8
SHA1: 5325176b67cd3222f1c840f9e473f445001b3617
SHA256: cd31db671807899a2fb95993cee5d2d7d7791f3ec35d343741b2c4e94e5c1444
SHA512: 8e282e56b73e112032f9f5bf828e84f773a70e76db81c4f4c95c96c7ffd36fcd1b2f2c6985ee530ae48ce27ac46c89268660a06c9b83c6b5317fdbf41ce75e98
Homepage: https://cran.r-project.org/package=irrCAC
Description: CRAN Package 'irrCAC' (Computing Chance-Corrected Agreement Coefficients (CAC))
 Calculates various chance-corrected agreement coefficients (CAC) among 2 or
 more raters are provided.  Among the CAC coefficients covered are Cohen's
 kappa, Conger's kappa, Fleiss' kappa, Brennan-Prediger coefficient, Gwet's
 AC1/AC2 coefficients, and Krippendorff's alpha. Multiple sets of weights are
 proposed for computing weighted analyses. All of these statistical
 procedures are described in details in Gwet, K.L.
 (2014,ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th
 edition, Advanced Analytics, LLC.

Package: r-cran-irreglong
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-geem, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nlme, r-cran-memss
Filename: pool/dists/focal/main/r-cran-irreglong_0.4.0-1.ca2004.1_all.deb
Size: 166240
MD5sum: c7e6df86c34cf95371b2549c94759eec
SHA1: bcbf9fbcfd7cbc2b1e9f6ecada565d34b11170c0
SHA256: 89af0adfae2cbc5ad66a0dc3cb6ab6597e5f8a7560bc152979ae8dad83b0e60d
SHA512: db1545270825290a1a28474c5def88e8073b72754a8b3e531ee9f2d8fac4c0eeb098d50e2afa485a9e356012d5779750c674ada5d89e4be0f72239fc14808840
Homepage: https://cran.r-project.org/package=IrregLong
Description: CRAN Package 'IrregLong' (Analysis of Longitudinal Data with Irregular Observation Times)
 Functions to help with analysis of longitudinal data featuring irregular
 observation times, where the observation times may be associated with the
 outcome process. There are functions to quantify the degree of irregularity,
 fit inverse-intensity weighted Generalized Estimating Equations (Lin H,
 Scharfstein DO, Rosenheck RA (2004) <doi:10.1111/j.1467-9868.2004.b5543.x>),
 perform multiple outputation (Pullenayegum EM (2016) <doi:10.1002/sim.6829>)
 and fit semi-parametric joint models (Liang Y (2009) <doi:
 10.1111/j.1541-0420.2008.01104.x>).

Package: r-cran-irricc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-scales, r-cran-plyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-irricc_1.0-1.ca2004.1_all.deb
Size: 527364
MD5sum: 7e5f4859de121cd247063a007be6b268
SHA1: 15863a6fb1b6a4c7ac16e17b68f6d76ed86f1496
SHA256: 1a4408f6dde58c203bcbc140469c8eaea69e6d11086d11c8da9e9c5d0d237070
SHA512: e8c438c1cf04eb5db6e642b6f57079752f624e09c5461b54e0249e5772ddb1f944ceb599a776830841f0655e92e4a56f679244ccc47ffdbe90970a090440f73d
Homepage: https://cran.r-project.org/package=irrICC
Description: CRAN Package 'irrICC' (Intraclass Correlations for Quantifying Inter-Rater Reliability)
 Calculates various intraclass correlation coefficients used to quantify
 inter-rater and intra-rater reliability.  The assumption here is that the
 raters produced quantitative ratings. Most of the statistical procedures
 implemented in this package are described in details in Gwet, K.L. (2014,
 ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition,
 Advanced Analytics, LLC.

Package: r-cran-irrna
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-irrna_0.2.3-1.ca2004.1_all.deb
Size: 64868
MD5sum: 1cd24796fb414655d54c2bfb143468e5
SHA1: da64fa8d6d357e9c7731c3df6e6dbae295056b0f
SHA256: f23af21228dd5d268c68d3d029d80bb4d4cdab37ee3e8236c014f6f76c5a8bcb
SHA512: 1ab7315b0b26c7d3a9e76eca2f5fb6449507bb7f4970e2bffd4dabdad676ed5a5cf0513383bf3d4bd29ccfc1c05f9e45f48a8bee4845a3cb24c7eb5d92730b3c
Homepage: https://cran.r-project.org/package=irrNA
Description: CRAN Package 'irrNA' (Coefficients of Interrater Reliability – Generalized forRandomly Incomplete Datasets)
 Provides coefficients of interrater reliability that are generalized to cope
 with randomly incomplete (i.e. unbalanced) datasets without any imputation
 of missing values or any (row-wise or column-wise) omissions of actually
 available data. Applied to complete (balanced) datasets, these
 generalizations yield the same results as the common procedures, namely the
 Intraclass Correlation according to McGraw & Wong (1996)
 \doi{10.1037/1082-989X.1.1.30} and the Coefficient of Concordance according
 to Kendall & Babington Smith (1939) \doi{10.1214/aoms/1177732186}.

Package: r-cran-irtawsi
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-mirt, r-cran-psych, r-cran-readxl, r-cran-shiny, r-cran-shinywidgets, r-cran-shinycssloaders, r-cran-rmarkdown, r-cran-bs4dash, r-cran-gt, r-cran-diagram, r-cran-writexl, r-cran-mirtcat, r-cran-wrightmap
Filename: pool/dists/focal/main/r-cran-irtawsi_0.4.1-1.ca2004.1_all.deb
Size: 45612
MD5sum: 6a4774d3c6c646f82e1c8bf814d93ddf
SHA1: 7a1744d24535235aad5a94f0828d5b9f82a3fbb2
SHA256: f289dba675f5c53bd34ce7af5990e1e08c7888a6a9410d2d1e5d54a35bbdd463
SHA512: 9c246a0aa9c008983261db03dc4a4338ded6eb8c6d9b864458e59bd88753adf4278371e3fd392242908f8b3527349ed2b4318feba1e1bf3b540ebd323e7054c0
Homepage: https://cran.r-project.org/package=irtawsi
Description: CRAN Package 'irtawsi' (Items Response Theory Analysis with Steps and Interpretation)
 Dichotomous and polytomous data analysis and their scoring using the
 unidimensional Item Response Theory model (Chalmers (2012)
 <doi:10.18637/jss.v048.i06>) with user-friendly graphic User Interface.
 Suitable for beginners who are learning item response theory.

Package: r-cran-irtbemm
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-irtbemm_1.0.8-1.ca2004.1_all.deb
Size: 204528
MD5sum: bb0cf40d0d95d56e324654213b64f1ca
SHA1: 9a042bedf2204f31bccd911ac95c1f489f61cb3f
SHA256: e0c9a5d679bbc11e4ce557f6ab697cb19dec341ac1c5a02fcde4028abee6940a
SHA512: 05ed50cb60ea999090b33f57296e9b7973adcdf24ac7a4ceaaf17ff77405181a894d394cc1d1b88b3d49730d65b0d6cae457311eae597009e8d8569c7c38721c
Homepage: https://cran.r-project.org/package=IRTBEMM
Description: CRAN Package 'IRTBEMM' (Family of Bayesian EMM Algorithm for Item Response Models)
 Applying the family of the Bayesian Expectation-Maximization-Maximization
 (BEMM) algorithm to estimate: (1) Three parameter logistic (3PL) model
 proposed by Birnbaum (1968, ISBN:9780201043105); (2) four parameter logistic
 (4PL) model proposed by Barton & Lord (1981)
 <doi:10.1002/j.2333-8504.1981.tb01255.x>; (3) one parameter logistic
 guessing (1PLG) and (4) one parameter logistic ability-based guessing
 (1PLAG) models proposed by San Martín et al (2006)
 <doi:10.1177/0146621605282773>. The BEMM family includes (1) the BEMM
 algorithm for 3PL model proposed by Guo & Zheng (2019)
 <doi:10.3389/fpsyg.2019.01175>; (2) the BEMM algorithm for 1PLG model and
 (3) the BEMM algorithm for 1PLAG model proposed by Guo, Wu, Zheng, & Chen
 (2021) <doi:10.1177/0146621621990761>; (4) the BEMM algorithm for 4PL model
 proposed by Zheng, Guo, & Kern (2021) <doi:10.1177/21582440211052556>; and
 (5) their maximum likelihood estimation versions proposed by Zheng, Meng,
 Guo, & Liu (2018) <doi:10.3389/fpsyg.2017.02302>. Thus, both Bayesian modal
 estimates and maximum likelihood estimates are available.

Package: r-cran-irtdemo
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-fgarch
Filename: pool/dists/focal/main/r-cran-irtdemo_0.1.5-1.ca2004.1_all.deb
Size: 23508
MD5sum: c041c88e8cd5b8754fd190c11e78ec56
SHA1: 9f1f2c20a568b5fa74c73daec01e8b40afce8c7a
SHA256: fda7c51ae20b423b7f13473c054b7f3a16e9e1779ed55467630f8ed1da1b7ab1
SHA512: a0da82db543b37bd0833ef2e3e370cbb03a910da689a29dde9694301b78f50cddb98e6f4257c36a63f4370cc5f2289a5af53ca960ec4ba1f625a42bde025be0f
Homepage: https://cran.r-project.org/package=irtDemo
Description: CRAN Package 'irtDemo' (Item Response Theory Demo Collection)
 Includes a collection of shiny applications to demonstrate or to explore
 fundamental item response theory (IRT) concepts such as estimation, scoring,
 and multidimensional IRT models.

Package: r-cran-irtest
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 857
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-betafunctions, r-cran-dcurver, r-cran-ggplot2, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-irtest_2.1.0-1.ca2004.1_all.deb
Size: 549132
MD5sum: 9016bde42aa519f1cc42bd827e6b14dc
SHA1: 1aae01eeac90d271d93bce4ddda6704075201bb1
SHA256: 6b7d8419a3d0a7b4a6aaa90eb1a462d6fe7753ba4a5f1acdaab93b30417bad93
SHA512: 1840f445d58d3d32afa5a97e97f2bbd3bb825f58a2ebf9cbf59599294992ff412e2fc3be4c995aeffc8b0e87db8d5c21a4a230873a0952b6ce31cb378a62ff9c
Homepage: https://cran.r-project.org/package=IRTest
Description: CRAN Package 'IRTest' (Parameter Estimation of Item Response Theory with Estimation ofLatent Distribution)
 Item response theory (IRT) parameter estimation using marginal maximum
 likelihood and expectation-maximization algorithm (Bock & Aitkin, 1981
 <doi:10.1007/BF02293801>).  Within parameter estimation algorithm, several
 methods for latent distribution estimation are available.  Reflecting some
 features of the true latent distribution, these latent distribution
 estimation methods can possibly enhance the estimation accuracy and free the
 normality assumption on the latent distribution.

Package: r-cran-irtgui
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-shiny, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-readxl, r-cran-mirt, r-cran-psych, r-cran-wrightmap, r-cran-writexl, r-cran-irtoys
Filename: pool/dists/focal/main/r-cran-irtgui_0.2-1.ca2004.1_all.deb
Size: 53888
MD5sum: f06214c4c964177aa58954e73fde9279
SHA1: 252d3dcde9dc9d0e441b94e2426992c6e37340eb
SHA256: 4452740c4ba1fa622861897b5de28d7ef390c0f42d2a8dcd72a25d6204f9fbc3
SHA512: c96a4a66ca4761fad3570161de77874744ed38ea55d85dfe4f4ce52ec932c5aeddd24d0bba5c11f990179170739c80a01acfbb8538b9c40609fa5188330e2b26
Homepage: https://cran.r-project.org/package=irtGUI
Description: CRAN Package 'irtGUI' (Item Response Theory Analysis with a Graphic User Interface)
 Performing Item Response Theory analysis such as parameter estimation,
 ability estimation, data generation, item and model fit analyse, local
 independence assumption, dimensionality assumption, wright map,
 characteristic and information curves under various models with a
 user-friendly Graphic User Interface.

Package: r-cran-irtplay
Architecture: all
Version: 1.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3096
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-statmod, r-cran-reshape2, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-ggplot2, r-cran-rlang, r-cran-gridextra, r-cran-matrix, r-cran-janitor
Suggests: r-cran-mirt
Filename: pool/dists/focal/main/r-cran-irtplay_1.6.5-1.ca2004.1_all.deb
Size: 2797512
MD5sum: 35a6ecd279ec1235ecfcd065e16821fa
SHA1: f1eefd5bb707d3ff3e5f75ae589f5107a4509dbc
SHA256: 76b62a794de4fc9f657bd4cd14f3f598c0a9bc436de8f2862aa8761ead34a76a
SHA512: 07ee56898518aa3b2698aaa4ba095d3e034e587498106f18d69b7d758d22da8e27595e67ef21a70ffdc1d952918f550d9aff19659902865a98d0533d2d3ae944
Homepage: https://cran.r-project.org/package=irtplay
Description: CRAN Package 'irtplay' (Unidimensional Item Response Theory Modeling)
 Fit unidimensional item response theory (IRT) models to a mixture of
 dichotomous and polytomous data, calibrate online item parameters (i.e.,
 pretest and operational items), estimate examinees' abilities, and examine
 the IRT model-data fit on item-level in different ways as well as provide
 useful functions related to unidimensional IRT models.  For the item
 parameter estimation, the marginal maximum likelihood estimation via the
 expectation-maximization (MMLE-EM) algorithm (Bock & Aitkin (1981)
 <doi:10.1007/BF02294168>) is used.  For the online calibration, the fixed
 item parameter calibration method (Kim (2006)
 <doi:10.1111/j.1745-3984.2006.00021.x>) and the fixed ability parameter
 calibration method (Ban, Hanson, Wang, Yi, & Harris (2011)
 <doi:10.1111/j.1745-3984.2001.tb01123.x>) are provided. For the ability
 estimation, several popular scoring methods (e.g., MLE, EAP, and MAP) are
 implemented. In terms of assessing the IRT model-data fit, one of
 distinguished features of this package is that it gives not only well-known
 item fit statistics (e.g., chi-square (X2), likelihood ratio chi-square
 (G2), infit and oufit statistics, and S-X2 statistic (Ames & Penfield (2015)
 <doi:10.1111/emip.12067>)) but also graphical displays to look at residuals
 between the observed data and model-based predictions (Hambleton,
 Swaminathan, & Rogers (1991, ISBN:9780803936478)).  In addition, there are
 many useful functions such as analyzing differential item functioning,
 computing asymptotic variance-covariance matrices of item parameter
 estimates (Li & Lissitz (2004) <doi:10.1111/j.1745-3984.2004.tb01109.x>),
 importing item and/or ability parameters from popular IRT software, running
 'flexMIRT' (Cai, 2017) through R, generating simulated data, computing the
 conditional distribution of observed scores using the Lord-Wingersky
 recursion formula (Lord & Wingersky (1984)
 <doi:10.1177/014662168400800409>), computing the loglikelihood of individual
 items, computing the loglikelihood of abilities, computing item and test
 information functions, computing item and test characteristic curve
 functions, and plotting item and test characteristic curves and item and
 test information functions. See Lim and Wells (2022)
 <doi:10.18637/jss.v103.i12> for more details.

Package: r-cran-irtprob
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-moments
Filename: pool/dists/focal/main/r-cran-irtprob_1.2-1.ca2004.1_all.deb
Size: 171216
MD5sum: f0cc88e942720b8324f80f4b107343d9
SHA1: 116caafc1df5974756cddb147e939fa42acd46a0
SHA256: 528b0599eb82de4933538b06fc69f48d1bc7d6754edab54c8ce7368a224f442d
SHA512: 8158ab58bc693165fe903d4ba78f30b86db680c003aa45a7e5c5b80e42ea2bf25598af883b05bdc26328ec7bdb7a3e4e329ee173d96b14866907ec403f2efdb6
Homepage: https://cran.r-project.org/package=irtProb
Description: CRAN Package 'irtProb' (Utilities and Probability Distributions Related toMultidimensional Person Item Response Models)
 Multidimensional Person Item Response Theory probability distributions

Package: r-cran-irtpwr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mirt, r-cran-deriv, r-cran-digest, r-cran-spatstat.random, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-irtpwr_1.0.3-1.ca2004.1_all.deb
Size: 171608
MD5sum: 411422d0cf1c2a8e78f779b0d225495b
SHA1: e5307dc2c4e971c4511bad7d0521f39a539f09c6
SHA256: 4727f23d2e0c21a3939a1baf098a3ed3108412fb863beba06b686d82c77e181c
SHA512: fa9540b8032ce641af45cdf014460aa4fbc891891b9128c3f9a86c11e505e59ea9f9b09de63e1fc6836ea6ce11d5da3a84175380e4a2e9453861d7a50d7a2f01
Homepage: https://cran.r-project.org/package=irtpwr
Description: CRAN Package 'irtpwr' (Power Analysis for IRT Models Using the Wald, LR, Score, andGradient Statistics)
 Implementation of analytical and sampling-based power analyses for the Wald,
 likelihood ratio (LR), score, and gradient tests. Can be applied to item
 response theory (IRT) models that are fitted using marginal maximum
 likelihood estimation. The methods are described in our paper (Zimmer et al.
 (2022) <doi:10.1007/s11336-022-09883-5>).

Package: r-cran-irtq
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3175
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statmod, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-rlang, r-cran-reshape2, r-cran-janitor, r-cran-ggplot2, r-cran-gridextra, r-cran-matrix, r-cran-rfast, r-cran-mirt
Filename: pool/dists/focal/main/r-cran-irtq_0.2.1-1.ca2004.1_all.deb
Size: 2886680
MD5sum: d675c9a37bcfff4996575c7cdc3634b7
SHA1: f2398910eddb798dc53e91937cf18e9fa031f977
SHA256: 1bad282f375c5e2869a4c91acf46620e3710fe84fe907aad0ae6aab5c35cac8d
SHA512: d20bca3e5ea682abbe4b4e4d086e26f9cf5f064117b9513a186d81675220d78b49f3166e79d6585a0ce6e922ec633e626addd57bd69fde5578d92376f4e18e5e
Homepage: https://cran.r-project.org/package=irtQ
Description: CRAN Package 'irtQ' (Unidimensional Item Response Theory Modeling)
 Fit unidimensional item response theory (IRT) models to a mixture of
 dichotomous and polytomous data, calibrate online item parameters (i.e.,
 pretest and operational items), estimate examinees' abilities, and examine
 the IRT model-data fit on item-level in different ways as well as provide
 useful functions related to IRT analyses such as IRT model-data fit
 evaluation and differential item functioning analysis.  The bring.flexmirt()
 and write.flexmirt() functions were written by modifying the read.flexmirt()
 function (Pritikin & Falk (2022) <doi:10.1177/0146621620929431>).  The
 bring.bilog() and bring.parscale() functions were written by modifying the
 read.bilog() and read.parscale() functions, respectively (Weeks (2010)
 <doi:10.18637/jss.v035.i12>).  The bisection() function was written by
 modifying the bisection() function (Howard (2017, ISBN:9780367657918)). The
 code of the inverse test characteristic curve scoring in the est_score()
 function was written by modifying the irt.eq.tse() function (González (2014)
 <doi:10.18637/jss.v059.i07>). In est_score() function, the code of weighted
 likelihood estimation method was written by referring to the Pi(), Ji(), and
 Ii() functions of the catR package (Magis & Barrada (2017)
 <doi:10.18637/jss.v076.c01>).

Package: r-cran-irtrees
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagrammer, r-cran-tidyr
Suggests: r-cran-lme4, r-cran-mirt, r-cran-knitr, r-cran-flextable, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-irtrees_1.0.0-1.ca2004.1_all.deb
Size: 983452
MD5sum: cff62581b8620593534cefa0e3c89a56
SHA1: 434780850a2fea0f0c13bc7f157ad3705c317ed2
SHA256: 319bf081c1eebe9c22b3dff9174b82879a5a288306223c88563df618f92eb336
SHA512: c9cb0bf9bf223b2bdb0a598f8912c923e34ff24b757f90a67b0cfdcb68c47eeea91a3014389a9cde4e1342d3e675d64b0249155991f724643a2df73cfad5cfd5
Homepage: https://cran.r-project.org/package=irtrees
Description: CRAN Package 'irtrees' (Estimation of Tree-Based Item Response Models)
 Helper functions and example data sets to facilitate the estimation of
 IRTree models from data with different shape and using different software.

Package: r-cran-irtreliability
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltm, r-cran-mirt, r-cran-fastghquad
Filename: pool/dists/focal/main/r-cran-irtreliability_0.1-1-1.ca2004.1_all.deb
Size: 96004
MD5sum: f8cd8503246ba9cf5de3db578a52bb1e
SHA1: b6c9cc9e0fab9ab41f10cf0b004cf4ea14deb325
SHA256: fd34410409c43faae4a684e746cfb16878d58fc21aba8975b6d7d1e2472a7161
SHA512: a84d054c8ef3894dbcbb55c12c29b4d2d160d75691a1a10273882698694115b5f293636f7212f4260bd866c4766d9b6137103f5ade776b9ea170af8359185511
Homepage: https://cran.r-project.org/package=irtreliability
Description: CRAN Package 'irtreliability' (Item Response Theory Reliability)
 Estimation of reliability coefficients for ability estimates and sum scores
 from item response theory models as defined in Cheng, Y., Yuan, K.-H. and
 Liu, C. (2012) <doi:10.1177/0013164411407315> and Kim, S. and Feldt, L. S.
 (2010) <doi:10.1007/s12564-009-9062-8>. The package supports the 3-PL and
 generalized partial credit models and includes estimates of the standard
 errors of the reliability coefficient estimators, derived in Andersson, B.
 and Xin, T. (2018) <doi:10.1177/0013164417713570>.

Package: r-cran-irtshiny
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyace, r-cran-beeswarm, r-cran-ctt, r-cran-ltm, r-cran-psych
Filename: pool/dists/focal/main/r-cran-irtshiny_1.2-1.ca2004.1_all.deb
Size: 21316
MD5sum: 0a4611589b1f5c4fca826751787b0094
SHA1: 0a9467802963ce2a4f1b97cfffc90c17a629767c
SHA256: 8d7028eec6c67819623e581c673b9176b3fb01ccee95a596934e7f17ead5eaa8
SHA512: 340e4b2a3b43ca0aa9c1be1f62ed52c10d5b0261469d0bf2ecde419b105ba974eb1b7fac762a68d1d2df40b350f09c7daccdf2a45b3ac253d7e493c835efade1
Homepage: https://cran.r-project.org/package=IRTShiny
Description: CRAN Package 'IRTShiny' (Item Response Theory via Shiny)
 Interactive shiny application for running Item Response Theory analysis.
 Provides graphics for characteristic and information curves.

Package: r-cran-isaeditor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colordf, r-cran-crayon, r-cran-tibble, r-cran-dplyr, r-cran-glue, r-cran-tidyr, r-cran-readr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isaeditor_0.1.1-1.ca2004.1_all.deb
Size: 88740
MD5sum: 6033c791def91b52f10639b4298ccc98
SHA1: f549b0544963ae85d0ee3f22b9a0a0fa6dab7bba
SHA256: 4fafe5b1eeea6100b2d9d8288721278c2f35ccd8b0251245f8a2e2f5bf481849
SHA512: 0a5d767c64184cbf41f5232a31e2f55d5c20568aaf839b35f4c4dcb1db34d6adcd6e4253071395027b30bd9baddb8ec481122c95dddb46c2b81677ecd43bb1fb
Homepage: https://cran.r-project.org/package=isaeditor
Description: CRAN Package 'isaeditor' (Tools to Manipulate ISA-Tab Files)
 ISA-Tab (Investigation/Study/Assay (ISA) tab-delimited (TAB) format) is a
 general purpose framework for storing complex metadata in omics
 applications. It is notoriously hard to manipulate due to the fact that it
 is a graph rather than a tab-delimited data frame. The 'isaeditor' package
 is meant to facilitate reading, writing, displaying, manipulating, modifying
 and populating ISA-Tab files in R.

Package: r-cran-isar
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2315
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-isar_0.1.12-1.ca2004.1_all.deb
Size: 1974872
MD5sum: 8a22b504ad15efb12a33e3c28d725644
SHA1: c85edda2db968a8a94121730599d652b77f5ff62
SHA256: 427c281f603727edf073a5a19d9312fd83df4a0cf901d97025b3ad738bde9a17
SHA512: 831aa0bd5e3829f277ce658504aa5420bf8bc628e65ccb51e634cd3c8c90f38f2b23537aa9d2478d816eb587b54e067e64e0e87f64efcfe70d74b3c6d885088f
Homepage: https://cran.r-project.org/package=ISAR
Description: CRAN Package 'ISAR' (Introduction to Sports Analytics using R (ISAR) Data)
 We provide data sets used in the forthcoming textbook "Introduction to
 Sports Analytics using R" by Elmore and Urbaczweski (2024). The package
 currently contains sixteen datasets and should be published in early 2024.

Package: r-cran-isard
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2143
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-peacesciencer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isard_0.1.0-1.ca2004.1_all.deb
Size: 2151604
MD5sum: d327914eb5b8a4f2d905b882a5ef79b2
SHA1: 809cbf27a30f659d2e172552b86bd108316af935
SHA256: 0fcadc7498f36ad741ffd52f4b7d846b52b8de1a0487a2553820b0382ef8ae6c
SHA512: 8239a15312fbb8e64f5fceb50e05ffa82c02868c32c6f7d89800b0c1d9e2b1b0d9d69939eda4fc207eab6f015f6ae34987a7800d9f3e7af3328118c41f329025
Homepage: https://cran.r-project.org/package=isard
Description: CRAN Package 'isard' (Overflow Data for Quantitative Peace Science Research)
 These are data and functions to support quantitative peace science research.
 The data are important state-year information on democracy and wealth, which
 require periodic updates and regular maintenance. The functions permit some
 exploratory and diagnostic assessment of the kinds of data in demand by the
 community, but do not impose many dependencies on the user.

Package: r-cran-isat
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-isat_1.0.5-1.ca2004.1_all.deb
Size: 28592
MD5sum: 694470987943b5cfeca3328b482f300a
SHA1: 0782b751b41e6dc411325b839903d54ce9366247
SHA256: 36f3c9b0f06fc3d778dee635c5a941f978f6382ffd1354853ce9fddf3f981e08
SHA512: 99e0c42e3c422dc87e4285b827e92273c4fd6262e00f44b3d3f6389c4671cbb352448ceb7b02444205d8854705500a1826c06c46bf3ce4bebc052059d2267f84
Homepage: https://cran.r-project.org/package=ISAT
Description: CRAN Package 'ISAT' (Extract Cell Density and Nearest Distance Based on 'PerkinElmerInForm' Software Output)
 Reads the output of the 'PerkinElmer InForm' software
 <http://www.perkinelmer.com/product/inform-cell-analysis-one-seat-cls135781>.
 In addition to cell-density count, it can derive statistics of intercellular
 spatial distance for each cell-type.

Package: r-cran-isatabr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4522
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-tinytest, r-bioc-affy, r-bioc-biobase, r-bioc-xcms, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-isatabr_1.0.1-1.ca2004.1_all.deb
Size: 1261692
MD5sum: a8cc4d190407831d9d3e38d012b3595e
SHA1: 604e6c8995ee0ffbc5b407a7e9b3329eda3da2d6
SHA256: ae96416fc198ddc168c82aaad4ac0d986774d092a7d2d757b09ff7d6073429b4
SHA512: c22ba51f72a6efd250226ac10a8b6c6d5678cd4046fa4b9d20138cac1a739ac34c56d5a74eacac44d242262db8372efa9af4ce61eb3d4b48052510298a4b86d5
Homepage: https://cran.r-project.org/package=isatabr
Description: CRAN Package 'isatabr' (Implementation for the ISA Abstract Model)
 ISA is a metadata framework to manage an increasingly diverse set of life
 science, environmental and biomedical experiments. In isatabr methods for
 reading, modifying and writing of files in the ISA-Tab format are
 implemented. It also contains methods for processing assay data.

Package: r-cran-isca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-e1071, r-cran-hmisc, r-cran-broom, r-cran-dplyr, r-cran-tidyselect, r-cran-tibble, r-cran-plyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isca_0.1.0-1.ca2004.1_all.deb
Size: 125580
MD5sum: acbd7ee074c1de8ee1c4f1b7a6b8c916
SHA1: 42ed8f13ee7af7a9c53f44b5d3a4ee2c9a98e77a
SHA256: e60ecea30d1d6e4bf779d8792d12c9cda7ddc4858feb63cfa95c73a8f97a43a7
SHA512: 434cba4c343d3dc075dadecbbaadbc110a98bc527694995cc373a180017151239e1ab8040acfc874c8f8d4888993869421b3423a116d41f44afb10daca3451db
Homepage: https://cran.r-project.org/package=ISCA
Description: CRAN Package 'ISCA' (Compare Heterogeneous Social Groups)
 The Inductive Subgroup Comparison Approach ('ISCA') offers a way to compare
 groups that are internally differentiated and heterogeneous. It starts by
 identifying the social structure of a reference group against which a
 minority or another group is to be compared, yielding empirical subgroups to
 which minority members are then matched based on how similar they are. The
 modelling of specific outcomes then occurs within specific subgroups in
 which majority and minority members are matched. 'ISCA' is characterized by
 its data-driven, probabilistic, and iterative approach and combines fuzzy
 clustering, Monte Carlo simulation, and regression analysis.
 ISCA_random_assignments() assigns subjects probabilistically to subgroups.
 ISCA_clustertable() provides summary statistics of each cluster across
 iterations. ISCA_modeling() provides Ordinary Least Squares regression
 results for each cluster across iterations. For further details please see
 Drouhot (2021) <doi:10.1086/712804>.

Package: r-cran-isco08conversions
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-isco08conversions_0.2.0-1.ca2004.1_all.deb
Size: 87812
MD5sum: 412aada6fdbb0ba66d08d7d69d3a4dcb
SHA1: 293593072be15658f1d55860b325575783b454bc
SHA256: f56c91ed2857500209c815f42081a641468f0d585229e847e36783e3908aafc7
SHA512: ed128e35614fa2b3e35a39adc1cb034e7a329546fe01076d364e251cff9d08bf851822a046c179815161dee5fddd1dc9d85260371844d3c975759f607af7f5a3
Homepage: https://cran.r-project.org/package=ISCO08ConveRsions
Description: CRAN Package 'ISCO08ConveRsions' (Converts ISCO-08 to Job Prestige Scores, ISCO-88 and Job Name)
 Implementation of functions to assign corresponding common job prestige
 scores (SIOPS, ISEI), the official job or group title and the ISCO-88 code
 to given ISCO-08 codes. ISCO-08 is the latest version of the International
 Standard Classification of Occupations which is used to organise information
 on labour and jobs.

Package: r-cran-iscocrosswalks
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1222
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-labourr, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iscocrosswalks_1.0.0-1.ca2004.1_all.deb
Size: 351220
MD5sum: 0fa71fa0a4bee2e03e517e2c084d91cb
SHA1: 5b8e68bc83c8a0fc1b6c4189f3ea268058f7a5a6
SHA256: 6463089229157e9e80335d58879a1c62ead5e0120b9fceec5170fc4f7fc97969
SHA512: 226f81f819ca684dddc3d624c1ac45bc7e6a8011777a49bb25773d0ebe847d3a391b5fd184570de5b3872d3d4a235ef3610bfba137d2d3be5fd7c8784cd756a9
Homepage: https://cran.r-project.org/package=iscoCrosswalks
Description: CRAN Package 'iscoCrosswalks' (Crosswalks Between Classifications of Occupations)
 Allows the user to perform approximate matching between the occupational
 classifications using concordances provided by the Institute for Structural
 Research and Faculty of Economics, University of Warsaw,
 <doi:10.1111/ecot.12145>. The crosswalks offer a complete step-by-step
 mapping of Standard Occupational Classification (2010) data to the
 International Standard Classification of Occupations (2008). We propose a
 mapping method based on the aforementioned research that converts
 measurements to the smallest possible unit of the target taxonomy, and then
 performs an aggregation/estimate to the requested degree Occupational
 Hierarchical level.

Package: r-cran-iscores
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-iscores_1.1.0-1.ca2004.1_all.deb
Size: 47136
MD5sum: 07baf928894640aa744be9a10f4f53c4
SHA1: 838ffd53db461168af02de95a65a994c1f88df1e
SHA256: 741440756cd95479d58c982ba133fe2f69a6393646fb0236641dfc67f8af94b2
SHA512: ca2315435a7f82f5695b1cda779c313b1a21f460cb246857fb558655c838684f11d3921af3597f17cd4bd58deb20651d7f13cd7ccf667c7ccd4f6bb44eee8580
Homepage: https://cran.r-project.org/package=Iscores
Description: CRAN Package 'Iscores' (Proper Scoring Rules for Missing Value Imputation)
 Implementation of a KL-based scoring rule to assess the quality of different
 missing value imputations in the broad sense as introduced in Michel et al.
 (2021) <arXiv:2106.03742>.

Package: r-cran-isdals
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-vgam
Filename: pool/dists/focal/main/r-cran-isdals_3.0.1-1.ca2004.1_all.deb
Size: 250244
MD5sum: 0601f2451aceb308f12f040fa8811014
SHA1: 636af8485623d0eb93ef9338fe86d4495bff287f
SHA256: ebcd7587f5dabe02baaaa8b208c76db48cd70e5c019a2debb98231b11085dc7e
SHA512: 28f422876acacb9d01400dbe7d43f0d32395fda262a0df90a455d5c973b64f73892af76c952e67dc66239fa3e714cea0a54b07ffaddad66fe6150873a5b926cf
Homepage: https://cran.r-project.org/package=isdals
Description: CRAN Package 'isdals' (Datasets for Introduction to Statistical Data Analysis for theLife Sciences)
 Provides datasets for the book "Introduction to Statistical Data Analysis
 for the Life Sciences, Second edition" by Ekstrøm and Sørensen (2014).

Package: r-cran-isdm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-geometry, r-cran-geosphere, r-cran-maptools, r-cran-mass, r-cran-pdist, r-cran-raster, r-cran-rgdal, r-cran-sp, r-cran-colorramps, r-cran-virtualspecies, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-isdm_1.0-1.ca2004.1_all.deb
Size: 49564
MD5sum: a35eef897f55eb32e6b258f5ec876999
SHA1: 4cc66bb74a2a4707f21c0af299e5565ec13b9dec
SHA256: bf09ce7cec64f5cbf59ed988d0361e1fe1a447188813e09163bb8863b207428d
SHA512: 86d8f3b7781ba4cbac28a013caeb386fe4cf2803326b12624aaf8c542dfd0a24e9c64a7ca157b2e3c1e1966351beb925dea28a226d0aa364379825a0af41f7ac
Homepage: https://cran.r-project.org/package=iSDM
Description: CRAN Package 'iSDM' (Invasive Species Distribution Modelling)
 Functions for predicting and mapping potential and realized distributions of
 invasive species within the invaded range.

Package: r-cran-isdparser
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4063
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-data.table, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-isdparser_0.4.0-1.ca2004.1_all.deb
Size: 685188
MD5sum: 6ed94e9f0785366baa7dc19a19600444
SHA1: 86de0fcbdb7a2578088153b64c4df7ca83e8fb11
SHA256: 8eb3553103f006eb1b112d8c62c4ab1ac2eb2c28fa362faaaf262be119cdf492
SHA512: babc6aeeca74a250514dc150e2e27fdf040002397d91884448680babd1790603441335bdbf121d53ec9a288b2e336a91253f0e5ea1b3c5d56f27cac836605dda
Homepage: https://cran.r-project.org/package=isdparser
Description: CRAN Package 'isdparser' (Parse 'NOAA' Integrated Surface Data Files)
 Tools for parsing 'NOAA' Integrated Surface Data ('ISD') files, described at
 <https://www.ncdc.noaa.gov/isd>. Data includes for example, wind speed and
 direction, temperature, cloud data, sea level pressure, and more. Includes
 data from approximately 35,000 stations worldwide, though best coverage is
 in North America/Europe/Australia. Data is stored as variable length ASCII
 character strings, with most fields optional.  Included are tools for
 parsing entire files, or individual lines of data.

Package: r-cran-isetools
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-coda
Suggests: r-cran-r2openbugs, r-cran-rjags, r-cran-boot, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-isetools_3.2.0-1.ca2004.1_all.deb
Size: 369164
MD5sum: 3cd1ca834bc185dbc02b0e0d8e1df5d3
SHA1: 774cc2d1168c7d235c0878af23e2a60333eef25f
SHA256: 282810921acc2a0769a71f862b2e5d73a3626849aa4e0ed7e0e109e5624d3ce9
SHA512: 81d91bec46e4c173734a6f9e70252d332100148d3f23d1469b5f531e88268095b1ad0e80a7facbccf60b5b58ecbd0dd987b4c65cf8becaa52966474501e575ae
Homepage: https://cran.r-project.org/package=ISEtools
Description: CRAN Package 'ISEtools' (Ion Selective Electrodes Analysis Methods)
 Characterisation and calibration of single or multiple Ion Selective
 Electrodes (ISEs); activity estimation of experimental samples. Implements
 methods described in: Dillingham, P.W., Radu, T., Diamond, D., Radu, A. and
 McGraw, C.M. (2012) <doi:10.1002/elan.201100510>, Dillingham, P.W., Alsaedi,
 B.S.O. and McGraw, C.M. (2017) <doi:10.1109/ICSENS.2017.8233898>,
 Dillingham, P.W., Alsaedi, B.S.O., Radu, A., and McGraw, C.M. (2019)
 <doi:10.3390/s19204544>, and Dillingham, P.W., Alsaedi, B.S.O.,
 Granados-Focil, S., Radu, A., and McGraw, C.M. (2020)
 <doi:10.1021/acssensors.9b02133>.

Package: r-cran-isfun
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1672
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-irlba
Filename: pool/dists/focal/main/r-cran-isfun_1.1.0-1.ca2004.1_all.deb
Size: 1672516
MD5sum: 50e353abe4f2ba4c217861c266bc21bf
SHA1: c34675ae7585633559416c4e77e14bfb776e794d
SHA256: bdee6fd841cd1488b5096f1d8e4762badf5e918d96c932ec1fb7aa573d8217a0
SHA512: c98fe18f47f177d089d9a7a5f325cfd32ab06f1f629cd84dd3959b7d33ba72ef880c47a4bef097e27867f9b030d0894fbb4b743385cb7b2811f540d00205f5a0
Homepage: https://cran.r-project.org/package=iSFun
Description: CRAN Package 'iSFun' (Integrative Dimension Reduction Analysis for Multi-Source Data)
 The implement of integrative analysis methods based on a two-part
 penalization, which realizes dimension reduction analysis and mining the
 heterogeneity and association of multiple studies with compatible designs.
 The software package provides the integrative analysis methods including
 integrative sparse principal component analysis (Fang et al., 2018),
 integrative sparse partial least squares (Liang et al., 2021) and
 integrative sparse canonical correlation analysis, as well as corresponding
 individual analysis and meta-analysis versions. References: (1) Fang, K.,
 Fan, X., Zhang, Q., and Ma, S. (2018). Integrative sparse principal
 component analysis. Journal of Multivariate Analysis,
 <doi:10.1016/j.jmva.2018.02.002>. (2) Liang, W., Ma, S., Zhang, Q., and Zhu,
 T. (2021). Integrative sparse partial least squares. Statistics in Medicine,
 <doi:10.1002/sim.8900>.

Package: r-cran-isingfit
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-qgraph, r-cran-matrix, r-cran-glmnet
Suggests: r-cran-isingsampler
Filename: pool/dists/focal/main/r-cran-isingfit_0.4-1.ca2004.1_all.deb
Size: 37552
MD5sum: 47d10d40cbce59c9280385bc0aa7c088
SHA1: b528d9a5a75ce2810cd2ae0d3da03badd2120cbd
SHA256: 34065ddde67de4ce95807430c046151b193641af147d9f118eabb73979525df5
SHA512: 035852588b725d73f99e90a400e976384b37b19a68fe9d085471aead20bfe5293bbc4fc5a95f1a906480087ce73e309baa6f0f35991f9587180472fa5ea076d6
Homepage: https://cran.r-project.org/package=IsingFit
Description: CRAN Package 'IsingFit' (Fitting Ising Models Using the ELasso Method)
 This network estimation procedure eLasso, which is based on the Ising model,
 combines l1-regularized logistic regression with model selection based on
 the Extended Bayesian Information Criterion (EBIC). EBIC is a fit measure
 that identifies relevant relationships between variables. The resulting
 network consists of variables as nodes and relevant relationships as edges.
 Can deal with binary data.

Package: r-cran-isinglandr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-gganimate, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinythemes, r-cran-simlandr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-gifski, r-cran-isingfit, r-cran-isingsampler, r-cran-transformr
Filename: pool/dists/focal/main/r-cran-isinglandr_0.1.1-1.ca2004.1_all.deb
Size: 155692
MD5sum: 09c43ef07b90769ec9878dbe6c76203c
SHA1: c566845c5225949b59438815a998ca93a075b649
SHA256: 67673bfb998c46e8bfd09d55694ca98c3d2d50a0520d1ff72bbcc54416c6dd36
SHA512: e8d42659d2afea21d644b2c251b4454742413e573189da80b7fe571a811e406be2be089e832f006b3d32b6f20a992546d270471733659039656b8a67692bd585
Homepage: https://cran.r-project.org/package=Isinglandr
Description: CRAN Package 'Isinglandr' (Landscape Construction and Simulation for Ising Networks)
 A toolbox for constructing potential landscapes for Ising networks. The
 parameters of the networks can be directly supplied by users or estimated by
 the 'IsingFit' package by van Borkulo and Epskamp (2016)
 <https://CRAN.R-project.org/package=IsingFit> from empirical data. The Ising
 model's Boltzmann distribution is preserved for the potential landscape
 function. The landscape functions can be used for quantifying and
 visualizing the stability of network states, as well as visualizing the
 simulation process.

Package: r-cran-islr2
Architecture: all
Version: 1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4591
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-islr2_1.3-2-1.ca2004.1_all.deb
Size: 4130368
MD5sum: 5cae294466a22f81c420bd4aa0b9ab35
SHA1: 5df785affe0b3b8dd7fd8612b24422a683ed6ba6
SHA256: c96e2e9c6989217554c267a687a9a95e32c90563819ef7ecd2e18b2b0a766dca
SHA512: b04793f716394cf575321cbd637f1fab30d599e6d117d100f7449965da4a0f198b25baa4fd4354631eb3a6f4d7bc2b8af35e1955742645f4ec21a7c94625de7f
Homepage: https://cran.r-project.org/package=ISLR2
Description: CRAN Package 'ISLR2' (Introduction to Statistical Learning, Second Edition)
 We provide the collection of data-sets used in the book 'An Introduction to
 Statistical Learning with Applications in R, Second Edition'. These include
 many data-sets that we used in the first edition (some with minor changes),
 and some new datasets.

Package: r-cran-islr
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2938
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-islr_1.4-1.ca2004.1_all.deb
Size: 2924452
MD5sum: c01d483b0670d4c4b29910299894a222
SHA1: 11e7f348a8908a3b0cd0990ba2046cd8674fa966
SHA256: 98b02ec117417697f358e9f50b022a7fde137a75947de49eec37d47f5f885304
SHA512: dcd08b5d26ae1c1fdec6049d180c6f5623e2599a7e35c2e40a27894fa39dcdd02f5a8dd282e684720b075ab37f8bbbc42985fe7c63ffe175525f367d45c75844
Homepage: https://cran.r-project.org/package=ISLR
Description: CRAN Package 'ISLR' (Data for an Introduction to Statistical Learning withApplications in R)
 We provide the collection of data-sets used in the book 'An Introduction to
 Statistical Learning with Applications in R'.

Package: r-cran-ism
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 797
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xlsx, r-cran-rjava, r-cran-xlsxjars
Filename: pool/dists/focal/main/r-cran-ism_0.1.0-1.ca2004.1_all.deb
Size: 245904
MD5sum: 54fe72c90895b04586e508a96635c6f3
SHA1: 3f373c29db5e61bb19a2c8b903b66f1e5a274f7b
SHA256: 8a999a821d0f48ed6eae653b09cd349f4bb2c13d7077a377f40aab9ca07ba041
SHA512: ed40b68bd2cf6759d63182efb5a515d6dde610740e4851f7b79b4fdc388b9a0b7b14dba3b3d82f9845ca5f044ca4a60a5ad773e146e7269a846d96b3fd6ec88d
Homepage: https://cran.r-project.org/package=ISM
Description: CRAN Package 'ISM' (Interpretive Structural Modelling (ISM))
 The development of ISM was made by Warfield in 1974.  ISM is the process of
 collaborating distinct or related essentials into a simplified and an
 organized format. Hence, ISM is a methodology that seeks the
 interrelationships among the various elements considered and endows with a
 hierarchical and multilevel structure.  To run this package user needs to
 provide a matrix (VAXO) converted into 0's and 1's.  Warfield,J.N. (1974)
 <doi:10.1109/TSMC.1974.5408524> Warfield,J.N. (1974, E-ISSN:2168-2909).

Package: r-cran-ismev
Architecture: all
Version: 1.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-ismev_1.42-1.ca2004.1_all.deb
Size: 259796
MD5sum: 0cb174b5378ef74eebced84e5f33ee25
SHA1: 560dc6045ab4caad0c648ff48b2d1ff62b5cefd3
SHA256: f5a8921dfda1f3fef22fd13bde265dfd9adfe6541d5865154e5801de6c1a41ed
SHA512: 9130dd8643443d4b0a6b41d9ab583394ca4c04a3d6a2648e4e9246671e08b82bdd645118c22c91ca575b372079a21dbdca112927036efbc6f35069136aab0750
Homepage: https://cran.r-project.org/package=ismev
Description: CRAN Package 'ismev' (An Introduction to Statistical Modeling of Extreme Values)
 Functions to support the computations carried out in `An Introduction to
 Statistical Modeling of Extreme Values' by Stuart Coles. The functions may
 be divided into the following groups; maxima/minima, order statistics, peaks
 over thresholds and point processes.

Package: r-cran-ismtchile
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ismtchile_2.1.5-1.ca2004.1_all.deb
Size: 209232
MD5sum: 2081a6da64c1ddf35ab970e1bffda85a
SHA1: 8176efc327794ed63a5bea8086a0f42a34528cb0
SHA256: 3206356b33eb9bd418d7ee16b4e7395ea3044905b027be1220cb1f3d1bf412cc
SHA512: 6bbf11cf15bed1916c59e894c706c38eee6b9a57232e6eb54fe86f5cf5f6a1b529dcfd190d7a28af1d4c3c9dc893fa9cfb62f12bb15e798cb1fc57aceeebdb75
Homepage: https://cran.r-project.org/package=ismtchile
Description: CRAN Package 'ismtchile' (Calculating Socio Material Territorial Index)
 Paquete creado con el fin de facilitar el cálculo y distribución del índice
 Socio Material Territorial (ISMT), elaborado por el Observatorio de Ciudades
 UC. La metodología completa está disponible en "ISMT"
 (<https://ideocuc-ocuc.hub.arcgis.com/datasets/6ed956450cfc4293b7d90df3ce3474e4/about>)
 [Observatorio de Ciudades UC (2019)]. || Package created to facilitate the
 calculation and distribution of the Socio-Material Territorial Index by
 Observatorio de Ciudades UC. The full methodology is available at "ISMT"
 (<https://ideocuc-ocuc.hub.arcgis.com/datasets/6ed956450cfc4293b7d90df3ce3474e4/about>)
 [Observatorio de Ciudades UC (2019)].

Package: r-cran-isni
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-mvtnorm, r-cran-nnet, r-cran-matrixcalc, r-cran-formula, r-cran-lme4
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-isni_1.3-1.ca2004.1_all.deb
Size: 202420
MD5sum: 74414089aab19f5595e95c75f4fc8131
SHA1: c148abb639229a38362db767c7e0b6a1da247d32
SHA256: d9a5ccbba7415cabc85401f8ccff13c67274ddbad14becb33e33ea0c3ffec7f5
SHA512: 8cc49a36d95a18a404df1e51f2ccd1cfcd9125f123478a7b8be2a7b18cecd0cec2ba30f043537f574ed1e693bef1bd280712b6bfa4a6d73b8ac1800b4c056213
Homepage: https://cran.r-project.org/package=isni
Description: CRAN Package 'isni' (Index of Local Sensitivity to Nonignorability)
 The current version provides functions to compute, print and summarize the
 Index of Sensitivity to Nonignorability (ISNI) in the generalized linear
 model for independent data, and in the marginal multivariate Gaussian model
 and the mixed-effects models for continuous and binary
 longitudinal/clustered data. It allows for arbitrary patterns of missingness
 in the regression outcomes caused by dropout and/or intermittent
 missingness. One can compute the sensitivity index without estimating any
 nonignorable models or positing specific magnitude of nonignorability. Thus
 ISNI provides a simple quantitative assessment of how robust the standard
 estimates assuming missing at random is with respect to the assumption of
 ignorability. For a tutorial, download at
 <https://huixie.people.uic.edu/Research/ISNI_R_tutorial.pdf>. For more
 details, see Troxel Ma and Heitjan (2004) and Xie and Heitjan (2004)
 <doi:10.1191/1740774504cn005oa> and Ma Troxel and Heitjan (2005)
 <doi:10.1002/sim.2107> and Xie (2008) <doi:10.1002/sim.3117> and Xie (2012)
 <doi:10.1016/j.csda.2010.11.021> and Xie and Qian (2012)
 <doi:10.1002/jae.1157>.

Package: r-cran-iso11784tools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-stringi, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iso11784tools_1.2.0-1.ca2004.1_all.deb
Size: 61896
MD5sum: aa0e6be332abf46d8c64773eb3be9924
SHA1: 27ca6ee42705e4757bd005b343c90659a2b82f68
SHA256: cb06804bb57828e2c18dd85dfbaddfc82cb4baa6ffc2c663c49a1046542525b2
SHA512: b18606dd3844fcf82d7f1516986aaef2c247445f32639fc235bfc9db29ad0cf3686a3cfdec481b88d74edb3591b129f0582af8773d74e6cdf3bc133205493b24
Homepage: https://cran.r-project.org/package=ISO11784Tools
Description: CRAN Package 'ISO11784Tools' (ISO11784 PIT Tag ID Format Converters)
 Some tools to assist with converting International Organization for
 Standardization (ISO) standard 11784 (ISO11784) animal ID codes between 4
 recognised formats commonly displayed on Passive Integrated Transponder
 (PIT) tag readers.  The most common formats are 15 digit decimal, e.g.,
 999123456789012, and 13 character hexadecimal 'dot' format, e.g.,
 3E7.1CBE991A14. These are referred to in this package as isodecimal and
 isodothex. The other two formats are the raw hexadecimal representation of
 the ISO11784 binary structure (see
 <https://en.wikipedia.org/wiki/ISO_11784_and_ISO_11785>). There are two
 'flavours' of this format, a left and a right variation. Which flavour a
 reader happens to output depends on if the developers decided to reverse the
 binary number or not before converting to hexadecimal, a decision based on
 the fact that the PIT tags will transmit their binary code Least Significant
 Bit (LSB) first, or backwards basically.

Package: r-cran-isoboost
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso, r-cran-isotone, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-isoboost_1.0.1-1.ca2004.1_all.deb
Size: 101756
MD5sum: d0062d7b2c1a916ed08ca0ace88cc696
SHA1: 63800b8ebfa4f0a26a102716d5f52966220630ff
SHA256: fcc8214b7a7f395f8be5fc6b10c5ad73b9b9026a505165aaef40e802e0939ab5
SHA512: d441cecf8c2935754fcc380b0c5bfe74df13d8ff0051d191cf34afa9929489c5fafd02f1d0d04e8d7c49c5aaedee338d7e010b940ef73cd5f5ebb8b70fd96b41
Homepage: https://cran.r-project.org/package=isoboost
Description: CRAN Package 'isoboost' (Isotonic Boosting Classification Rules)
 In classification problems a monotone relation between some predictors and
 the classes may be assumed. In this package 'isoboost' we propose new
 boosting algorithms, based on LogitBoost, that incorporate this isotonicity
 information, yielding more accurate and easily interpretable rules.

Package: r-cran-isobxr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 589
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-readxl, r-cran-dplyr, r-cran-data.table, r-cran-desolve, r-cran-rlang, r-cran-ggplot2, r-cran-ggrepel, r-cran-qgraph, r-cran-writexl, r-cran-r.utils, r-cran-fs, r-cran-magrittr, r-cran-tidyr, r-cran-gridextra, r-cran-purrr, r-cran-reshape2, r-cran-tictoc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-mass, r-cran-roxygen2, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-isobxr_2.0.0-1.ca2004.1_all.deb
Size: 508300
MD5sum: 78382133fe6b4ae6f6c605bca5fe7420
SHA1: 7d6747c6e0150d4bc3150b5c093440cd0f4e651a
SHA256: 1f0ace9a52ab658d7acc2f324286d9dbebfb9b4a74bcb3431e351e7c85f6b762
SHA512: 9b594d219bba2947b000889718bce4f15c76cb8e00f2947949dab334d06a348fac468e2446084fdf8bd5f3be3dcf71ae5721d44233f82e5d11f26dabb368d900
Homepage: https://cran.r-project.org/package=isobxr
Description: CRAN Package 'isobxr' (Stable Isotope Box Modelling in R)
 A set of functions to run simple and composite box-models to describe the
 dynamic or static distribution of stable isotopes in open or closed systems.
 The package also allows the sweeping of many parameters in both static and
 dynamic conditions.  The mathematical models used in this package are
 derived from Albarede, 1995, Introduction to Geochemical Modelling,
 Cambridge University Press, Cambridge <doi:10.1017/CBO9780511622960>.

Package: r-cran-isocalcr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-isocalcr_0.1.1-1.ca2004.1_all.deb
Size: 288736
MD5sum: bb28a48ad72b68340e162d3a0c125a3b
SHA1: 7f0960bfb6a628b158ecf94af6a945d798120e7b
SHA256: f41ce04a8c2ec501be34a8e4e714c5adcdd2f6c24b0e6371701dd6bd59d63cb3
SHA512: db1474ef2e4a9217d09165336ff5fe1fdcc2c5ff6757c76cb926230efd8d7385fab9548839bcb5fc59b3b58a8c28554530943b512fba16008a6d8d6dac0a32fd
Homepage: https://cran.r-project.org/package=isocalcR
Description: CRAN Package 'isocalcR' (Isotope Calculations in R)
 Perform common calculations based on published stable isotope theory, such
 as calculating carbon isotope discrimination and intrinsic water use
 efficiency from wood or leaf carbon isotope composition. See Mathias and
 Hudiburg (2022) in Global Change Biology <doi:10.1111/gcb.16407>.

Package: r-cran-isocat
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 737
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-plyr, r-cran-sp, r-cran-magrittr, r-cran-foreach
Suggests: r-cran-dendextend, r-cran-doparallel, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-kableextra, r-cran-knitr, r-cran-pvclust, r-cran-rmarkdown, r-cran-rastervis, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-isocat_0.3.0-1.ca2004.1_all.deb
Size: 473220
MD5sum: b2f955b2782c9bbe3d50155307e86570
SHA1: 9038f8b1f7eb9048d71fb889686a22cfdcfe1609
SHA256: e0c0be76437e00c109af538a9fa8ea5d21d48d25a57f15f5fb02883f4a0ad842
SHA512: 9659874c298808cc306c289ffe8a30e50100c512f4f21f1c92d9dd5c2a072f3b5f545d19e9262fd79ae9868b6993d3583b3f4b804b974de470c45b1af1804d53
Homepage: https://cran.r-project.org/package=isocat
Description: CRAN Package 'isocat' (Isotope Origin Clustering and Assignment Tools)
 This resource provides tools to create, compare, and post-process spatial
 isotope assignment models of animal origin. It generates
 probability-of-origin maps for individuals based on user-provided tissue and
 environment isotope values (e.g., as generated by IsoMAP, Bowen et al.
 [2013] <doi:10.1111/2041-210X.12147>) using the framework established in
 Bowen et al.  (2010) <doi:10.1146/annurev-earth-040809-152429>). The package
 'isocat' can then quantitatively compare and cluster these maps to group
 individuals by similar origin. It also includes techniques for applying four
 approaches (cumulative sum, odds ratio, quantile only, and quantile
 simulation) with which users can summarize geographic origins and probable
 distance traveled by individuals. Campbell et al. [2020] establishes several
 of the functions included in this package <doi:10.1515/ami-2020-0004>.

Package: r-cran-isocheck
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-dplyr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-isocheck_0.1.0-1.ca2004.1_all.deb
Size: 100524
MD5sum: 7b6940172cc772979ede1968622e1c1e
SHA1: 459153496fcabf1251e0fee85a1dd9305622455c
SHA256: 3f5459e62c15b2d142672ff446b4380d23a41383110cdf8ce410eacabc74a94d
SHA512: f1822c7c863075016f1011932dcd223175fa0d3a7b278ddc6d81371009bd1325704cf709e9ec46bf3195c65511b315e353827d1c4de2099cd8eacf13563f02e8
Homepage: https://cran.r-project.org/package=IsoCheck
Description: CRAN Package 'IsoCheck' (Isomorphism Check for Multi-Stage Factorial Designs withRandomization Restrictions)
 Contains functions to check the isomorphism of multi-stage factorial designs
 with randomisation restrictions based on balanced spreads and balanced
 covering stars of PG(n-1,2) as described in Spencer, Ranjan and Mendivil
 (2019) <doi:10.1007/s42519-019-0064-5>.

Package: r-cran-isoci
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-isoci_1.1-1.ca2004.1_all.deb
Size: 30624
MD5sum: 205546ac8ce0564276593ae689802418
SHA1: 10db2e7aa8fb7ea2e56bea95995cf28360ff45c9
SHA256: 8ab951d37ff984e0548a8a07970e8b2b4d66181ae18bbf8024bfec66d4dca157
SHA512: c0ce01dcf2bfade7d709e74c68f7d5708bdcb8263ed6e466cbbc807de7aad4f1fc2096fdfb0a4b5c171588c906dbc959cc679c00faa616f64222e5cd93ee75c3
Homepage: https://cran.r-project.org/package=IsoCI
Description: CRAN Package 'IsoCI' (Confidence intervals for current status data based ontransformations and bootstrap)
 Some functions for confidence intervals for current status data based on
 transformations and bootstrap.

Package: r-cran-isocodes
Architecture: all
Version: 2025.05.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-isocodes_2025.05.18-1.ca2004.1_all.deb
Size: 312208
MD5sum: a1d65ed69d73ce1f01f462331d5bd421
SHA1: 6921c0ec98044b4307fb8b468c5efb21720f160f
SHA256: b12e6aa6d973927fc3035a891f9cd7d8240f19e65bcde2f4e6a362d395d34f17
SHA512: 648d5508eb21d9197beb2b3ff7b7e667b138de715f04fa97d5438ede92610aab18a73a441f855037de3438c2de80ffe70c7387372647ae1e0299a1caf6025812
Homepage: https://cran.r-project.org/package=ISOcodes
Description: CRAN Package 'ISOcodes' (Selected ISO Codes)
 ISO language, territory, currency, script and character codes.  Provides ISO
 639 language codes, ISO 3166 territory codes, ISO 4217 currency codes, ISO
 15924 script codes, and the ISO 8859 character codes as well as the UN M.49
 area codes.

Package: r-cran-isocor
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3606
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-config, r-cran-dt, r-cran-golem, r-cran-maldiquant, r-cran-markdown, r-cran-plyr, r-cran-shiny, r-cran-shinyalert, r-cran-shinyjs
Suggests: r-cran-shinytest2, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-isocor_0.2.8-1.ca2004.1_all.deb
Size: 3570472
MD5sum: 051e7118d52695c0a989c49221f4aed7
SHA1: cb4eb7bc20ab0b9e327e4563ef2c99c1b85c1f42
SHA256: 296bc27658f0e2799554c25b9ab0e1b973eaab4c205016be8521b40fe553126c
SHA512: 71ef2b16c6d6f4c8fccebf8ee0e84bbf04f3b4e416c3f491c96426ab1ed135c3f7727177f8eab40f114abb08ac5e5ca8346199f63928a6c1bce14ef1ca61f849
Homepage: https://cran.r-project.org/package=IsoCor
Description: CRAN Package 'IsoCor' (Analyze Isotope Ratios in a 'Shiny'-App)
 Analyzing Inductively Coupled Plasma - Mass Spectrometry (ICP-MS)
 measurement data to evaluate isotope ratios (IRs) is a complex process.  The
 'IsoCor' package facilitates this process and renders it reproducible by
 providing a function to run a 'Shiny'-App locally in any web browser.  In
 this App the user can upload data files of various formats, select ion
 traces, apply peak detection and perform calculation of IRs and delta
 values. Results are provided as figures and tables and can be exported.  The
 App, therefore, facilitates data processing of ICP-MS experiments to quickly
 obtain optimal processing parameters compared to traditional 'Excel'
 worksheet based approaches. A more detailed description can be found in the
 corresponding article <doi:10.1039/D2JA00208F>. The most recent version of
 'IsoCor' can be tested online at <https://apps.bam.de/shn00/IsoCor/>.

Package: r-cran-isocorr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-isocorr_1.0-1.ca2004.1_all.deb
Size: 40384
MD5sum: db04be0e26deb9816fb64c897c2157da
SHA1: ad8f5d402473316cdfad1636079260d9eb2c7f23
SHA256: 25c9a73e9086f719417bba8b8a890860bdc84565f3a353114b5c62d85322c242
SHA512: 148de58de4fe9e04911ddf5edf5312140232a4d38c0a623a9f05e299cca8a591c0c1d673c6c39061fb0ba8e34bca56ab8a82dfe6414a3ee3a1575ef3e88480cd
Homepage: https://cran.r-project.org/package=IsoCorr
Description: CRAN Package 'IsoCorr' (Correcting Drift and Carry-over in Continuous IsotopicMeasurements)
 A series of functions that allow an easy and fast correction for drift and
 carry-over in continuous isotopic measurements. This implementation provides
 queries allowing users to perform the implemented corrections according to
 their needs. These functions further enable the processing of large datasets
 and can provides apt visualizations of the corrections performed.

Package: r-cran-isocountry
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-isocountry_0.4.0-1.ca2004.1_all.deb
Size: 25712
MD5sum: 284c5ed0f3cdb5f8e794f4496282ed86
SHA1: 7ed320cd9aa6452775d26ae78c3579a147ef3236
SHA256: dd6294bd2c0963d0e53962e0fc17e0dfe6157443cba861e939f18d0ad99a3b4a
SHA512: f6a71cd32e9c1b6dcec0eb5601525d7907450e1af7d17a2996945117258058283290572e556e7b4de2ef3ed2a0afaaeae3bdfa023f08746195ac94478867ad52
Homepage: https://cran.r-project.org/package=isocountry
Description: CRAN Package 'isocountry' (ISO 3166-1 Country Codes)
 ISO 3166-1 country codes and ISO 4217 currency codes provided by the
 International Organization for Standardization.

Package: r-cran-isogene
Architecture: all
Version: 1.0-24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso, r-cran-xtable, r-bioc-biobase, r-bioc-affy
Filename: pool/dists/focal/main/r-cran-isogene_1.0-24-1.ca2004.1_all.deb
Size: 840836
MD5sum: 44e419542a5624a9489aa410325f2c6d
SHA1: af6a196c4e9a8cc2f078ca7d28c7df75b904cb48
SHA256: 805f7d4d65c5f4a8575ce5963471f20217d2a81838cf9c93ba9dd4977a3bb386
SHA512: 9d32d17b547ba7a5816bf5e84ef67eceb4e63f0d6363813d7a6980a1daf02f2e4be249d1bac755037b2471b52f95511f82f62b200eccb935da3c182def913b66
Homepage: https://cran.r-project.org/package=IsoGene
Description: CRAN Package 'IsoGene' (Order-Restricted Inference for Microarray Experiments)
 Offers framework for testing for monotonic relationship between gene
 expression and doses in a microarray experiment. Several testing procedures
 including the global likelihood-ratio test (Bartholomew, 1961), Williams
 (1971, 1972), Marcus (1976), M (Hu et al. 2005) and the modified M (Lin et
 al. 2007) are used to test for the monotonic trend in gene expression with
 respect to doses. BH (Benjamini and Hochberg 1995) and BY (Benjamini and
 Yekutieli 2004) FDR controlling procedures are applied to adjust the raw
 p-values obtained from the permutations.

Package: r-cran-isogeochem
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 871
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-shades, r-cran-viridislite, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-spelling, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-isogeochem_1.1.1-1.ca2004.1_all.deb
Size: 618788
MD5sum: 361377d9c17a2c0618051bc7ec79660d
SHA1: 87b7afd9d8a2e4a477a9b7269b0ba1771132eadc
SHA256: 85f822a08acda86ee5a19a5d216df1d4456d313cde3207c4fc7e377ef7a53cda
SHA512: 7f74b162086e28c2c139f3f32b057da6a03bebaa317a88c5348ca26f3f937fc371e41f1a46da0acc075c2a0aae416109286c2a35e96b0ea2f659723e93a332de
Homepage: https://cran.r-project.org/package=isogeochem
Description: CRAN Package 'isogeochem' (Tools for Stable Isotope Geochemistry)
 This toolbox makes working with oxygen, carbon, and clumped isotope data
 reproducible and straightforward.  Use it to quickly calculate isotope
 fractionation factors, and apply paleothermometry equations.

Package: r-cran-isokernel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-isokernel_0.1.0-1.ca2004.1_all.deb
Size: 14828
MD5sum: e4d146f7a77b45b5df64db22ad299a36
SHA1: 510924b63d78eb0a70f4a70212928c26e794f56b
SHA256: 0f0c62600f73a3e7b1492e4ddecbb5f132a7f5789dabf48ce6bf0cdbe29130ab
SHA512: ccfa940b5da7f43b2da07dad6db79a3eb0f386c5adefd79eca7779b96fc090f85704294b0655dab4458b04646fe1ed5d04fffed1a933285614844e974f90ae60
Homepage: https://cran.r-project.org/package=isokernel
Description: CRAN Package 'isokernel' (Isolation Kernel)
 Implementation of Isolation kernel (Qin et al. (2019)
 <doi:10.1609/aaai.v33i01.33014755>).

Package: r-cran-isomemo
Architecture: all
Version: 23.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-modules
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isomemo_23.10.1-1.ca2004.1_all.deb
Size: 42176
MD5sum: c613fc60c14d9e2509c0ce560599c47a
SHA1: 9944dd7c395edde7061a3124df5ee9fad9f63639
SHA256: dec2dbfaecb54f8cd8b496df33b7f8d5f458eb36faff4c416a2a29213a17522d
SHA512: 63a01412535c32fa11ffd7f39bb45abe307800156590130feb388b0a8dc9549e0350510d452bd9db4d3f5f4ab7e50ec628f23842c79c4d53c57c25ffc9085576
Homepage: https://cran.r-project.org/package=IsoMemo
Description: CRAN Package 'IsoMemo' (Retrieve Data using the 'IsoMemo' API)
 API wrapper that contains functions to retrieve data from the 'IsoMemo'
 partnership databases. Web services for API:
 <https://isomemodb.com/api/v1/iso-data>.

Package: r-cran-isoorbi
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-lifecycle, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-readr, r-cran-tidyselect, r-cran-openxlsx, r-cran-purrr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-isoorbi_1.3.1-1.ca2004.1_all.deb
Size: 2549964
MD5sum: 462a86cb7df0f0830422915c6918b10c
SHA1: 157aea19c0e8034565b50857c6abbbb6db94b7f9
SHA256: a6effabd09b15118c7a8ca2e5888ba903450f29c6f5a8ee1d0a0b13107e8b4f1
SHA512: f6029b70b52e6297ffca416f8c5f3a1995abe52e7b41d95fe5dea87d6c9645ea88601d103757e6d675a0ebfdc56bd92c57616d4426af076e8a4ffa9beffabee7
Homepage: https://cran.r-project.org/package=isoorbi
Description: CRAN Package 'isoorbi' (Process Orbitrap Isotopocule Data)
 Read and process isotopocule data from an Orbitrap Isotope Solutions mass
 spectrometer. Citation: Kantnerova et al. (Nature Protocols, 2024).

Package: r-cran-isopam
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-cluster, r-cran-fastkmedoids, r-cran-future, r-cran-future.apply, r-cran-ps, r-cran-proxy, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-isopam_3.2-1.ca2004.1_all.deb
Size: 127504
MD5sum: fe36db747e0d26b99442f5f86405d599
SHA1: d650b73d7ab1a5ed19270310fda3586c3383e701
SHA256: 168f6d150cd82e632c6b3c92cb365327b0a009d8f535c0f327e58bd2015046ea
SHA512: 7332ae5b04f2b2a8cd09780db30db772dc7662417950f2c12daabd52e44c64b544652c04f48c3641d52e45cc428332d13a380fadae7baeab85685f2834bb2cd7
Homepage: https://cran.r-project.org/package=isopam
Description: CRAN Package 'isopam' (Clustering of Sites with Species Data)
 Clustering algorithm developed for use with plot inventories of species. It
 groups plots by subsets of diagnostic species rather than overall species
 composition. There is an unsupervised and a supervised mode, the latter
 accepting suggestions for species with greater weight and cluster medoids.

Package: r-cran-isopat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-isopat_1.0-1.ca2004.1_all.deb
Size: 31476
MD5sum: ad9bc335d9ecf5348590d17fa5ec5465
SHA1: f172e30ab1b27910088169e0a3da43cacf6ad204
SHA256: d4ef7642201b072367ff9fe626cdd07feff3b18f582b89c8911375d8098d1a34
SHA512: dbc134054f04a13f3bfe0e11f4bb676066370743dd4d3c171c55a00752e16d0bfd4793f79989f47c55684d18a3cdd40e77b2a3fb12d4f2424b027fcd3300fff1
Homepage: https://cran.r-project.org/package=isopat
Description: CRAN Package 'isopat' (Calculation of isotopic pattern for a given molecular formula)
 The function calculates the isotopic pattern (fine structures) for a given
 chemical formula.

Package: r-cran-isopleuros
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1416
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-interp, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-isopleuros_1.4.0-1.ca2004.1_all.deb
Size: 517608
MD5sum: 9f8f9689e095ad93061c3d17afd55d9f
SHA1: cf4cfd30f2411893ba97d66504120fccb1be18eb
SHA256: e4aab37ee280537f39515db5795d2739e2af499dbe683e2e25488f70d6f87d4d
SHA512: abcc5a651d4e02a8fdeb605be895446b6c686d42f3eeaca9b82c5ad390d03c051334e16be23901cb93ccb23984aaffd236db4eb562b3e8e2ee9e357f8cdcaf87
Homepage: https://cran.r-project.org/package=isopleuros
Description: CRAN Package 'isopleuros' (Ternary Plots)
 Ternary plots made simple. This package allows to create ternary plots using
 'graphics'. It provides functions to display the data in the ternary space,
 to add or tune graphical elements and to display statistical summaries. It
 also includes common ternary diagrams which are useful for the archaeologist
 (e.g. soil texture charts, ceramic phase diagram).

Package: r-cran-isoplotr
Architecture: all
Version: 6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1542
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-isoplotr_6.6-1.ca2004.1_all.deb
Size: 1410048
MD5sum: 94db36e6ea88562aeaf68373fd1eb0ae
SHA1: 1f2507389ab855f801fc9b96e9d8eaf7d1d34186
SHA256: 57b689428485ca6ea645ae93c396447b1a41e6c9d02034541ec30918afb759b7
SHA512: 2dcd5610cf71a1100b839debaaf9db750ac1460692cd3b485e1ddd42af793eba1231ac6f6b52fc0413e47d776d287b4aa4aa89cb8a833ff1dd95680c1f2397a6
Homepage: https://cran.r-project.org/package=IsoplotR
Description: CRAN Package 'IsoplotR' (Statistical Toolbox for Radiometric Geochronology)
 Plots U-Pb data on Wetherill and Tera-Wasserburg concordia diagrams.
 Calculates concordia and discordia ages. Performs linear regression of
 measurements with correlated errors using 'York', 'Titterington', 'Ludwig'
 and Omnivariant Generalised Least-Squares ('OGLS') approaches. Generates
 Kernel Density Estimates (KDEs) and Cumulative Age Distributions (CADs).
 Produces Multidimensional Scaling (MDS) configurations and Shepard plots of
 multi-sample detrital datasets using the Kolmogorov-Smirnov distance as a
 dissimilarity measure. Calculates 40Ar/39Ar ages, isochrons, and age
 spectra. Computes weighted means accounting for overdispersion. Calculates
 U-Th-He (single grain and central) ages, logratio plots and ternary
 diagrams. Processes fission track data using the external detector method
 and LA-ICP-MS, calculates central ages and plots fission track and other
 data on radial (a.k.a. 'Galbraith') plots. Constructs total Pb-U, Pb-Pb,
 Th-Pb, K-Ca, Re-Os, Sm-Nd, Lu-Hf, Rb-Sr and 230Th-U isochrons as well as
 230Th-U evolution plots.

Package: r-cran-isoplotrgui
Architecture: all
Version: 6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3632
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-isoplotr, r-cran-shinylight
Filename: pool/dists/focal/main/r-cran-isoplotrgui_6.6-1.ca2004.1_all.deb
Size: 1440640
MD5sum: 9614e5bbef6e702c089b8c456630bc9a
SHA1: d16b7231f0885ecdca81a2bd4e3dee58809cc264
SHA256: 5ca9f2f99706c162bdc2b4d8921e6f1885a311c0173aaf3a282ab97ce5fba16f
SHA512: 4d97b2c77381527456fb27a8556aa89d4029f4bc73f83b8f80330fa7eac30086d0a40140f9d4cb42ea739f6790d975f99cfa4144056a8ff18efc01dc6ab47287
Homepage: https://cran.r-project.org/package=IsoplotRgui
Description: CRAN Package 'IsoplotRgui' (Web Interface to 'IsoplotR')
 Provides a graphical user interface to the 'IsoplotR' package for
 radiometric geochronology. The GUI runs in an internet browser and can
 either be used offline, or hosted on a server to provide online access to
 the 'IsoplotR' toolbox.

Package: r-cran-isorix
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1820
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-numderiv, r-cran-rastervis, r-cran-spamm, r-cran-terra, r-cran-viridislite
Suggests: r-cran-colorspace, r-cran-elevatr, r-cran-gmp, r-cran-magick, r-cran-rgl, r-cran-spelling, r-cran-testthat, r-cran-webshot2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-isorix_0.9.3-1.ca2004.1_all.deb
Size: 1788336
MD5sum: 8adef595f9379989081758532e312357
SHA1: 5d941119de720cc0b88b7270ab1dcc737bd4968d
SHA256: 4fb81ac5aa90803ae1e31906c2ed914077925daa2f8ca46c85de037c72846648
SHA512: 7fceef82ee9e0f953a9df681a89b151b2e1dd99efee3812118419950524d21920ffdedf5f6b9edce899eda8f2c5884b000928327bff8d8cb896ec0dc4e2e9231
Homepage: https://cran.r-project.org/package=IsoriX
Description: CRAN Package 'IsoriX' (Isoscape Computation and Inference of Spatial Origins usingMixed Models)
 Building isoscapes using mixed models and inferring the geographic origin of
 samples based on their isotopic ratios. This package is essentially a
 simplified interface to several other packages which implements a new
 statistical framework based on mixed models. It uses 'spaMM' for fitting and
 predicting isoscapes, and assigning an organism's origin depending on its
 isotopic ratio. 'IsoriX' also relies heavily on the package 'rasterVis' for
 plotting the maps produced with 'terra' using 'lattice'.

Package: r-cran-isosurv
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-iso, r-cran-survival
Filename: pool/dists/focal/main/r-cran-isosurv_0.3.0-1.ca2004.1_all.deb
Size: 75988
MD5sum: c9d9ad883f37f932aa39aaff6d3ff257
SHA1: 920c00d361bf211922248c418fa1ed42c7805e61
SHA256: 94f069d4f6c58a65f4893e83768e499fb52cb06aac8367ccd203ae3bd2132531
SHA512: 74e56ba28e1b1b86020c87a1774b13ea0f311b8eb48aa42cfccac4607d8b339fac4680ecb207c8d5f2d78c8057899af60d14ace01e3059f9c70c38a7382ed1f2
Homepage: https://cran.r-project.org/package=isoSurv
Description: CRAN Package 'isoSurv' (Isotonic Regression on Survival Analysis)
 Nonparametric estimation on survival analysis under order-restrictions.

Package: r-cran-isotone
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nnls
Filename: pool/dists/focal/main/r-cran-isotone_1.1-2-1.ca2004.1_all.deb
Size: 366588
MD5sum: c58a4e133600dcbd03aa7f9257589736
SHA1: 1848a3693ab39e87072ec3275c14493edf9b17b0
SHA256: 5af6a8dd353c0cc7520d36f516035aaaab178e696c2575ff80be90a36e6559eb
SHA512: ada3356142967c366bffffac8a1e90a6c9f116832758c35e920cae518feb517cfc72b33f28e66e942cbbec8c611727259ba1fac3e33f1139c46a1f713ac6876b
Homepage: https://cran.r-project.org/package=isotone
Description: CRAN Package 'isotone' (Active Set and Generalized PAVA for Isotone Optimization)
 Contains two main functions: one for solving general isotone regression
 problems using the pool-adjacent-violators algorithm (PAVA); another one
 provides a framework for active set methods for isotone optimization
 problems with arbitrary order restrictions. Various types of loss functions
 are prespecified.

Package: r-cran-isotonic.pen
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coneproj, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-isotonic.pen_1.0-1.ca2004.1_all.deb
Size: 44448
MD5sum: 0e29ae6cdb5ea9dce9b081baa37b1fda
SHA1: 83c48bada63dadba28500531c5e30d386077b1c5
SHA256: 31266e6044106ebf6a8635c1dc1d2afc51be47cbe047a45f4b5f56dac7f5e4ac
SHA512: f903f878faa8e4a28a6e8d6dfd0084ab53519de06b2d4c10befd44f8c866f5fd52051da98dcefccc9acec82ab01389b474e19d42d95bec186b506bb998abca82
Homepage: https://cran.r-project.org/package=isotonic.pen
Description: CRAN Package 'isotonic.pen' (Penalized Isotonic Regression in one and two dimensions)
 Given a response y and a one- or two-dimensional predictor, the isotonic
 regression estimator is calculated with the usual orderings.

Package: r-cran-isotoper
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fgui, r-cran-runjags, r-cran-colorspace, r-cran-ellipse, r-cran-plotrix
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-isotoper_0.5.4-1.ca2004.1_all.deb
Size: 477820
MD5sum: 2ad56ece7217cb5c7f2a1a7805213c81
SHA1: 5ae171049fa0c29c96e4a54bcfe28edefa2b6cbd
SHA256: e3b64b686e3b972b13fd12ed1b72ad029990c0938dd16ad22c1732782bb72e9e
SHA512: 4dbfaad3c51022afee00b9c5e172e244e088bb73df3130039d01c678399517db047ce2c62910107c8ff7a1fba806ce3ffb5647a9ab034c1b0b76fe1f9a8dae4c
Homepage: https://cran.r-project.org/package=IsotopeR
Description: CRAN Package 'IsotopeR' (Stable Isotope Mixing Model)
 Estimates diet contributions from isotopic sources using JAGS.  Includes
 estimation of concentration dependence and measurement error.

Package: r-cran-isowater
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r2jags, r-cran-abind, r-cran-r2winbugs, r-cran-doparallel, r-cran-foreach, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-isowater_1.2.0-1.ca2004.1_all.deb
Size: 128832
MD5sum: 3d2aae6ba289b6142dfad98c4dd26322
SHA1: 64491639e5e00bf80daa3acf9bf74a0d91314d14
SHA256: 89189418e7d7321d6ae7a77d3dea88f95bb85fc2e9f2c0957d649852bcb59b7e
SHA512: c2e8c95d2f19cee9d83cab580a79bfe3a32d6e19c18a14f4c59b7cdd2c6287703b0c938324ea3e49769023cef9571f2c5f698d88d43e145f39a6531bfb64e263
Homepage: https://cran.r-project.org/package=isoWater
Description: CRAN Package 'isoWater' (Discovery, Retrieval, and Analysis of Water Isotope Data)
 The wiDB...() functions provide an interface to the public API of the wiDB
 <https://github.com/SPATIAL-Lab/isoWater/blob/master/Protocol.md>: build,
 check and submit queries, and receive and unpack responses. Data analysis
 functions support Bayesian inference of the source and source isotope
 composition of water samples that may have experienced evaporation.
 Algorithms adapted from Bowen et al. (2018,
 <doi:10.1007/s00442-018-4192-5>).

Package: r-cran-isoweek
Architecture: all
Version: 0.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isoweek_0.6-2-1.ca2004.1_all.deb
Size: 24968
MD5sum: 325047aca8a0ff73386a78bcba3262fc
SHA1: fb8cf39954dc238d753c4515d352272517bf6119
SHA256: ed77f829c0d30386669e6ec40f06c9d4e917bd37f744b6e32d50b8fa7a730766
SHA512: 1e20b5fac8f96a3324895aec7769e3ffdec61fe291f76a3a4cacaf55924fb2a3bfa056eafa676fa375f270e870d30b64cc6bf3d17a7c9dbf8ef915af543a785c
Homepage: https://cran.r-project.org/package=ISOweek
Description: CRAN Package 'ISOweek' (Week of the year and weekday according to ISO 8601)
 This is an substitute for the %V and %u formats which are not implemented on
 Windows. In addition, the package offers functions to convert from standard
 calender format yyyy-mm-dd to and from ISO 8601 week format yyyy-Www-d.

Package: r-cran-ispd
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ibd
Filename: pool/dists/focal/main/r-cran-ispd_0.2-1.ca2004.1_all.deb
Size: 61828
MD5sum: 7b67fb62235d4cdc54ee7f3ebc3bbf72
SHA1: 4b1c57f4ee4a06c5bc0fd259452ba38dc9446e57
SHA256: e63d3d7631e8570ab8090a9bdb4658619bdaeb7446cfbd6c91d441238b8bd498
SHA512: 69054a5cb0511017a6336b999afe549820f339a925db5c035003385a078af2fd26fe77e8bf97f7129c4a0592df84c2f62c9a5a2a48c33b924345f06aa836e520
Homepage: https://cran.r-project.org/package=ispd
Description: CRAN Package 'ispd' (Incomplete Split-Plot Designs)
 A collection of several functions related to construction and analysis of
 incomplete split-plot designs. The package contains functions to obtain and
 analyze incomplete split-plot designs for three kinds of situations namely
 (i) when blocks are complete with respect to main plot treatments and main
 plots are incomplete with respect to subplot treatments, (ii) when blocks
 are incomplete with respect to main plot treatments and main plots are
 complete with respect to subplot treatments and (iii) when blocks are
 incomplete with respect to main plot treatments and main plots are
 incomplete with respect to subplot treatments.

Package: r-cran-ispdata
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5403
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-janitor, r-cran-openxlsx, r-cran-readr, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ispdata_1.1.2-1.ca2004.1_all.deb
Size: 5491316
MD5sum: 2f63616fc17bc9df9b51c5e824afe9e9
SHA1: 468806c1bf39f3cf2ebae036f05501138fc581a4
SHA256: 35f2a16e58942e44872597e1cbfe67086543501715f909c48e27595a99b946fb
SHA512: 812fa7b8a6944a7fad7f3c095485e9cda0d928d5bee25e8a053776e94ff9c3cf979d992f9449136d0967fd8953934cd83c4e9aa488ba6de0de6462d7bec426bd
Homepage: https://cran.r-project.org/package=ispdata
Description: CRAN Package 'ispdata' (Access Data from the Public Security Institute of the State ofRio De Janeiro)
 Allows access to data from the Rio de Janeiro Public Security Institute
 (ISP), such as criminal statistics, data on gun seizures and femicide. The
 package also contains the spatial data of Pacifying Police Units (UPPs) and
 Integrated Public Safety Regions, Areas and Circumscriptions.

Package: r-cran-isr
Architecture: all
Version: 2025.5.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 493
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-isr_2025.5.16-1.ca2004.1_all.deb
Size: 344164
MD5sum: be34f61456aeeca52fd500422eebee83
SHA1: 9614ed765870fdb653f258e476e0c27f1dec26e2
SHA256: 37e0aa2d2a04e12f4bd7e054409d3dd454fc81b7f0a977fa38c96a79b31610fa
SHA512: cfa36990dfc55d624480d7164c7c3bdc56e3e449752d84bfd951f6f1142ccbecf5653abfa8b206586ed144d0979a5a37e1d134e32c35b0d610b78818600d3a04
Homepage: https://cran.r-project.org/package=ISR
Description: CRAN Package 'ISR' (The Iterated Score Regression-Based Estimation)
 We use the ISR to handle with PCA-based missing data with high correlation,
 and the DISR to handle with distributed PCA-based missing data.  The
 philosophy of the package is described in Guo G. (2024)
 <doi:10.1080/03610918.2022.2091779>.

Package: r-cran-israd
Architecture: all
Version: 2.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1650
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-writexl, r-cran-terra, r-cran-dplyr, r-cran-tidyr, r-cran-rcurl, r-cran-ggplot2, r-cran-maps, r-cran-httr, r-cran-rio, r-cran-rnaturalearth, r-cran-sf
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-israd_2.5.5-1.ca2004.1_all.deb
Size: 666984
MD5sum: 2a35c934a0eb524ea43e1601463a3749
SHA1: 7843cc22bbb9550fc34cea260565a5c72a43386e
SHA256: 9f1825e9449ed75afc8e3dba2827662c7ac5d708bd3aa1636ece49ac70ab144a
SHA512: 0c282644bab928177635d97b3ac9023bcad3b0cf92f8ad47f565e13fb290a658bf7945d9b6358b5b65918f22ed8eb8f08038fd830b174b5e3f2aeab884b26048
Homepage: https://cran.r-project.org/package=ISRaD
Description: CRAN Package 'ISRaD' (Tools and Data for the International Soil Radiocarbon Database)
 This is the central location for data and tools for the development,
 maintenance, analysis, and deployment of the International Soil Radiocarbon
 Database (ISRaD). ISRaD was developed as a collaboration between the U.S.
 Geological Survey Powell Center and the Max Planck Institute for
 Biogeochemistry. This R package provides tools for accessing and
 manipulating ISRaD data, compiling local data using the ISRaD data
 structure, and simple query and reporting functions for ISRaD. For more
 detailed information visit the ISRaD website at:
 <https://soilradiocarbon.org/>.

Package: r-cran-iss
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-iss_1.0.0-1.ca2004.1_all.deb
Size: 69440
MD5sum: f8d138f53bce700c4961340bccc3d98d
SHA1: 69171c17b777b9cb7667db9d7899f52e85bad21b
SHA256: 3a9f16bc25d83b3ff115d10ae3765cbfc7f8b5b0fa07c531fd14c4712ba22b6b
SHA512: e6f14989db90bb62e7232856c04d6912b9f6402d570f2fb5b63c864984d3ded40c36f05782200dfc84e4819759c3a220985c723ab81a747755f9e6ba392175ab
Homepage: https://cran.r-project.org/package=ISS
Description: CRAN Package 'ISS' (Isotonic Subgroup Selection)
 Methodology for subgroup selection in the context of isotonic regression
 including methods for sub-Gaussian errors, classification, homoscedastic
 Gaussian errors and quantile regression. See the documentation of ISS().
 Details can be found in the paper by Müller, Reeve, Cannings and Samworth
 (2023) <arXiv:2305.04852v2>.

Package: r-cran-issuetracker
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-gh, r-cran-yaml
Suggests: r-cran-cli, r-cran-rlang, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-issuetracker_1.1.1-1.ca2004.1_all.deb
Size: 104644
MD5sum: d0679dba77b01d622802503deb0a9235
SHA1: d940e2d02d6903be5d3a61217a5bdcf1453eeeff
SHA256: 6c090b1a8c1d92da5a859ce357ebe5f285a1c5ad88d57ff669e2b06a2f04771c
SHA512: d02eeba17dc621bad06c3a03950b92513bd322b73c6fd61aeedd32d421e8868a0ed3c7a60605a23a49b092d250a69329475a063b484abb3548acbaff47326128
Homepage: https://cran.r-project.org/package=IssueTrackeR
Description: CRAN Package 'IssueTrackeR' (List Things to Do)
 Manage a 'GitHub' problem using R: wrangle issues, labels and milestones. It
 includes functions for storing, prioritizing (sorting), displaying, adding,
 deleting, and selecting (filtering) issues based on qualitative and
 quantitative information. Issues (labels and milestones) are written in
 lists and categorized into the S3 class to be easily manipulated as datasets
 in R.

Package: r-cran-istacr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-istacr_0.2.2-1.ca2004.1_all.deb
Size: 147292
MD5sum: f0681d36c3a43dbbb928f37a95d39a5d
SHA1: 5ad128884bc92af2624497eb6d96fe5121a9d0dc
SHA256: 1ea4987ab2841c6a47aa6cf77b892fd3f095bfe813e830682ca3a464b3ab032d
SHA512: d7fc5b63cb214c541a2956eeb80a32283bd94f2cb0fb65ce78c3282bc6f7dfcf587aee73d57325d917b28f747ee18cbc8d05ce4eb797a3bbb9d2294997ccca30
Homepage: https://cran.r-project.org/package=istacr
Description: CRAN Package 'istacr' (Obtaining Open Data from Instituto Canario De Estadistica(ISTAC) API)
 You can access to open data published in Instituto Canario De Estadistica
 (ISTAC) APIs at <https://datos.canarias.es/api/estadisticas/>.

Package: r-cran-istat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-datamods, r-cran-dt, r-cran-dplyr, r-cran-ggplot2, r-cran-htmltools, r-cran-httr, r-cran-magrittr, r-cran-openxlsx, r-cran-reactable, r-cran-readxl, r-cran-rsdmx, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyhelper, r-cran-shinyjs, r-cran-shinywidgets, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-istat_1.0-1.ca2004.1_all.deb
Size: 121744
MD5sum: b2bf82e06d9c040c40e4bc3b659b2434
SHA1: 63d4bb97d7a90e446eec3fb1db37a0a1b65cb150
SHA256: 645ce190424f971458b510a251991a9287338bc122617d7990d310bb5b426093
SHA512: d364eaafc38bdf6084994ddd0e37f9bfe8ae8e012d4202ceb20633318b745c915bef7bd67b93ff36034d3a0602093c9686dd574d9e68e7da76400c64a9cd1ac2
Homepage: https://cran.r-project.org/package=istat
Description: CRAN Package 'istat' (Download and Manipulate Data from Istat)
 Download data from Istat (Italian Institute of Statistics) database, both
 old and new provider (respectively, <http://dati.istat.it/> and
 <https://esploradati.istat.it/databrowser/>). Additional functions for
 manipulating data are provided. Moreover, a 'shiny' application called
 'shinyIstat' can be used to search, download and filter datasets in an
 easier way.

Package: r-cran-istats
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2480
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shinybs, r-cran-shinywidgets, r-cran-cairo, r-cran-ggplot2, r-cran-gtools, r-cran-shiny, r-cran-plotly, r-cran-rstudioapi, r-cran-data.table, r-cran-readr
Filename: pool/dists/focal/main/r-cran-istats_1.7-1.ca2004.1_all.deb
Size: 1967236
MD5sum: 0cd99ce8ce5ed83f9b7bc23fcc012d4d
SHA1: df088ba83cb7780ac1023eefae3f422322d570b9
SHA256: 0dce1b42f7b4340cc6e6470a4704777f3eb1f680ab203685c687022d68cd97cc
SHA512: a1f70725fdb5a8c4247f3d6432dbd705a7cf50929159411583a11e2529deff71d264cef48021212d453f3150b8cee5a7d80f2f5a5254b8a5e0aba6f465749849
Homepage: https://cran.r-project.org/package=iSTATS
Description: CRAN Package 'iSTATS' (A Graphical Interface to Perform STOCSY Analyses on NMR Data)
 Launches a 'shiny' based application for Nuclear Magnetic Resonance
 (NMR)data importation and Statistical TOtal Correlation SpectroscopY
 (STOCSY) analyses in a full interactive approach. The theoretical background
 and applications of STOCSY method could be found at Cloarec, O., Dumas, M.
 E., Craig, A., Barton, R. H., Trygg, J., Hudson, J., Blancher, C., Gauguier,
 D., Lindon, J. C., Holmes, E. & Nicholson, J. (2005)
 <doi:10.1021/ac048630x>.

Package: r-cran-isubgen
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 895
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-consensusclusterplus, r-cran-cluster, r-cran-keras, r-cran-tensorflow, r-cran-philentropy
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-isubgen_1.0.1-1.ca2004.1_all.deb
Size: 437108
MD5sum: 6e81686708d6fb6245bd3c7321e6aa5f
SHA1: 2fbeafe04edfd8b0fc9b163379e13b0ebf5e7427
SHA256: f0087498939f17bb7aa230725bb8f279d909575857cdc7f1c6dab88ff8630f82
SHA512: fac94f864145fe5d0a169ef026fb44da4e3cb032051be7e62ab0b002ab132419710c04443f4f7d6de10e1b0933a05ef554fb06eba3a525d17e2fd16d40721102
Homepage: https://cran.r-project.org/package=iSubGen
Description: CRAN Package 'iSubGen' (Integrative Subtype Generation)
 Multi-data type subtyping, which is data type agnostic and accepts missing
 data. Subtyping is performed using intermediary assessments created with
 autoencoders and similarity calculations.

Package: r-cran-isva
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-qvalue, r-cran-fastica, r-cran-jade
Filename: pool/dists/focal/main/r-cran-isva_1.9-1.ca2004.1_all.deb
Size: 325556
MD5sum: bf5c9063eab7b5b61cbde7d34e5aec1e
SHA1: 3e2f2df33a050e3feaf14055ff2fc3b19567baf3
SHA256: e37a2c25eea26a2b42b1b16f07440ff5cdcebe16e62ee8880be3c8a9805cda42
SHA512: efa7668c803f9e4796ad6133f248b2062d7e82c7bf86215c2b1acde74cb0ec65aad37c2024b6bdde218decdde996b096b83c9220682dd39f98d8b81ebecc9d8b
Homepage: https://cran.r-project.org/package=isva
Description: CRAN Package 'isva' (Independent Surrogate Variable Analysis)
 Independent Surrogate Variable Analysis is an algorithm for feature
 selection in the presence of potential confounding factors (see Teschendorff
 AE et al 2011, <doi: 10.1093/bioinformatics/btr171>).

Package: r-cran-iswr
Architecture: all
Version: 2.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-iswr_2.0-10-1.ca2004.1_all.deb
Size: 202828
MD5sum: ef76fe74f2724bffd3dd183efd75530c
SHA1: 8e9ed862459576763447e7a8ef1a65239cef53fb
SHA256: c8ce323a0c1071deb707be8362fc0e3053071cd4ba686c8e27e372b33467a83f
SHA512: 75631e93dfe68185bfd833d0578ac908dc677b8c1acaf8e98d3db4b856d9e63389b4fa4de9c9067a7ef8e76d038d4d185c17f9bbe1b60e8e2936e2ceafa5ac72
Homepage: https://cran.r-project.org/package=ISwR
Description: CRAN Package 'ISwR' (Introductory Statistics with R)
 Data sets and scripts for text examples and exercises in P. Dalgaard (2008),
 `Introductory Statistics with R', 2nd ed., Springer Verlag, ISBN
 978-0387790534.

Package: r-cran-italy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-italy_0.1.0-1.ca2004.1_all.deb
Size: 211708
MD5sum: 7436117ad6f6feae612228d93ebae4c7
SHA1: 253c0f910432723c63ae90cb7311cd608e953700
SHA256: 3e5e6750d616d8fa33ac0e490a83cf6acda18f30fd1c947de5f26b5ee4f2cc99
SHA512: 7069622e0c3da4dacbf52973659b52a7d1af8dc38f8ba07eddbdfdc5da60861511f7b47f715bb739d823b32a5378ce22848fb640762a1f87fa5560a4db305515
Homepage: https://cran.r-project.org/package=italy
Description: CRAN Package 'italy' (The Italian Survey on Household and Wealth, 2008 and 2010)
 Provides two record linkage data sets on the Italian Survey on Household and
 Wealth, 2008 and 2010, a sample survey conducted by the Bank of Italy every
 two years. The 2010 survey covered 13,702 individuals, while the 2008 survey
 covered 13,734 individuals. The following categorical variables are included
 in this data set: year of birth, working status, employment status, branch
 of activity, town size, geographical area of birth, sex, whether or not
 Italian national, and highest educational level obtained. Unique identifiers
 are available to assess the accuracy of one’s method. Please see Steorts
 (2015) <DOI:10.1214/15-BA965SI> to find more details about the data set.

Package: r-cran-itan
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2480
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-itan_3.1.1-1.ca2004.1_all.deb
Size: 2056108
MD5sum: 174c5e076188478d16dcb5cdda963350
SHA1: 9d5972c089e87add28e2eae73e31975cefbe46e2
SHA256: 41d1f4a97228c63a4cc7177f0132fd13f77aad7c2b05dead4b63f09632b73e44
SHA512: 6b8f68d768bd955fd7900044528b1ab5acd1c3657bae073d7ffcc285097a2e58e3afb85cfb85eea4ac140340dd54cab2c810609784d14d3f4e51a4e196832b4b
Homepage: https://cran.r-project.org/package=itan
Description: CRAN Package 'itan' (Item Analysis for Multiple Choice Tests)
 Functions for analyzing multiple choice items. These analyses include the
 convertion of student response into binaty data (correct/incorrect), the
 computation of the number of corrected responses and grade for each subject,
 the calculation of item difficulty and discrimination, the computation of
 the frecuency and point-biserial correlation for each distractor and the
 graphical analysis of each item.

Package: r-cran-itcsegment
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-itcsegment_1.0-1.ca2004.1_all.deb
Size: 218612
MD5sum: bd63283c1c6c0b213fa550601f064acf
SHA1: fb7a4cd24bba95b960c4e993b0330b4275b73fe9
SHA256: 6bafd3d2c8ae8a2fb225b7e062bca64a81db5956c87d198dd8762da06a460d00
SHA512: 1998de5e7654f069e6a1c32f250fe76ce2e5e4d3711560e220c376d7759a42d5ed91e0814ff42649ba2d66500a29137cf51b3f62ab38ccb9ac1d6e72a6f97d3f
Homepage: https://cran.r-project.org/package=itcSegment
Description: CRAN Package 'itcSegment' (Individual Tree Crowns Segmentation)
 Three methods for Individual Tree Crowns (ITCs) delineation on remote
 sensing data: one is based on LiDAR data in x,y,z format and one on imagery
 data in raster format.

Package: r-cran-itemanalysis
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-polycor, r-cran-car
Filename: pool/dists/focal/main/r-cran-itemanalysis_1.1-1.ca2004.1_all.deb
Size: 199060
MD5sum: b997b0cfbbf56f22a5f67044ac66c444
SHA1: 554ed784bd56ec2a1ae501e27e55a9c36db8821c
SHA256: 65b816e99164de0fcac4da33f58e8b6023b4955218a14a9701de628c4c00d99f
SHA512: c19bf8132c3b7f9fcdcd598e94142385c6d08de9799a78b66d83e2cbe9b6976df197c1df49aab5eb87babb3b6e064d28159d58e9b4405ace816b673ab3b8021a
Homepage: https://cran.r-project.org/package=itemanalysis
Description: CRAN Package 'itemanalysis' (Classical Test Theory Item Analysis)
 Runs classical item analysis for multiple-choice test items and polytomous
 items (e.g., rating scales). The statistics reported in this package can be
 found in any measurement textbook such as Crocker and Algina (2006,
 ISBN:9780495395911).

Package: r-cran-itensor
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1359
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-rtensor, r-cran-jointdiag, r-cran-mgcv, r-cran-einsum, r-cran-geigen, r-bioc-mixomics, r-cran-groupica
Suggests: r-cran-nntensor, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-itensor_1.0.2-1.ca2004.1_all.deb
Size: 948688
MD5sum: 32958f4a51462f6cbe0a47199ee3ff53
SHA1: c44b2f56e10f4e947822114f4221da8207f04ebc
SHA256: 2f506c34a1e47945b03633095e20266dd954df0c9d3e38e49ec872cf246b8139
SHA512: e713af6198348a7248589294aa062031a2aa4958ce8707f869b8cdb8812001478d2742d0a0314fa19bdd7a36c824129689ba583c92ffefba563d6df86ed72bb9
Homepage: https://cran.r-project.org/package=iTensor
Description: CRAN Package 'iTensor' (ICA-Based Matrix/Tensor Decomposition)
 Some functions for performing ICA, MICA, Group ICA, and Multilinear ICA are
 implemented.  ICA, MICA/Group ICA, and Multilinear ICA extract statistically
 independent components from single matrix, multiple matrices, and single
 tensor, respectively.  For the details of these methods, see the reference
 section of GitHub README.md <https://github.com/rikenbit/iTensor>.

Package: r-cran-iterates
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partitions, r-cran-vgam, r-cran-mass, r-cran-ape, r-cran-aptreeshape, r-cran-geiger, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-iterates_3.1-1.ca2004.1_all.deb
Size: 162592
MD5sum: b4250ce2b4d090136522748ebd3090f2
SHA1: 366efa59e07738f83e2f281597d054b1bf96ab6b
SHA256: db2eb9cbd0be04620da7b4f3e81234f07c4635666d74973a1b59740c48aae854
SHA512: 0be1af5d7d5dc86a9b3970813fa0026df88ba8cd9ca89093d00c3074f22796102ef76fb7f1334126e69f9f478d203df4ea386dfdac833cb76950a0c11d82d4f8
Homepage: https://cran.r-project.org/package=iteRates
Description: CRAN Package 'iteRates' (Parametric rate comparison)
 Iterates through a phylogenetic tree to identify regions of rate variation
 using the parametric rate comparison test.

Package: r-cran-iterativehardthresholding
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cyclops, r-cran-parallellogger
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iterativehardthresholding_1.0.2-1.ca2004.1_all.deb
Size: 28516
MD5sum: a5b58cfa3fe364a2d79ec4d4b199e653
SHA1: fd98410c284bb92bf164239b588703401d8b271c
SHA256: 9b7e2d7f279ad0840c3bf811233f014cb7413f284145fa79669b4d846c00ca21
SHA512: 0b5851fec1eeadb3aaaabf3da82477676be06bd271af7f88570f1197849cfcd756ca058d4e459d7fe379f7dd7aa17d6f1d7e528dc495ad26df77240bcdd5a9db
Homepage: https://cran.r-project.org/package=IterativeHardThresholding
Description: CRAN Package 'IterativeHardThresholding' (Iterative Hard Thresholding Extensions to Cyclops)
 Fits large-scale regression models with a penalty that restricts the maximum
 number of non-zero regression coefficients to a prespecified value.  While
 Chu et al (2020) <doi:10.1093/gigascience/giaa044> describe the basic
 algorithm, this package uses Cyclops for an efficient implementation.

Package: r-cran-iterator
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-iterator_0.1.1-1.ca2004.1_all.deb
Size: 80064
MD5sum: c811320614c0f5254c5eab984fdad0e0
SHA1: 9c5ae5b0dcb7e5f5e8068adb9057dc8e5d12ebbb
SHA256: af97512b124386dbd36b52ed4e9f53ec2ee8116916d8097a94fc2ad18a9c38dc
SHA512: b5db33cdcd56d0427e5c00cf4230b8cf64808429b0f7e708b710eb4207da5a50d43cdc5159b0039ce8cc53eebda329700fecf3dd89ae97a016d41a08a677b4a3
Homepage: https://cran.r-project.org/package=iteratoR
Description: CRAN Package 'iteratoR' (Print Loop Iterations at Exponentially Disparate Intervals)
 Know which loop iteration the code execution is up to by including a single,
 convenient function call inside the loop.

Package: r-cran-iterators
Architecture: all
Version: 1.0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-runit, r-cran-foreach
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Size: 334604
MD5sum: d8154e6a669d9c1840a876b3bf9f2780
SHA1: f59c452332c8a3177043e79a9e186ed0c91f7db3
SHA256: feefb74e13e584274ebaef0747c60d4a666243b1e0ddbd44bbd143fe3f40df7e
SHA512: 8ba3a44745ed981cf6b9ed974f9cde890de0a70e8e7eb8d4a83dab9c82272641fb0f8fe57df74fc7363a1d44e5bf7cc016cb82dda7ee72dbe48e2865b484f9c1
Homepage: https://cran.r-project.org/package=iterators
Description: CRAN Package 'iterators' (Provides Iterator Construct)
 Support for iterators, which allow a programmer to traverse through all the
 elements of a vector, list, or other collection of data.

Package: r-cran-iterors
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 554
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang
Suggests: r-cran-reticulate, r-cran-combinat, r-cran-testthat, r-cran-foreach, r-cran-iterators, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-iterors_1.0-1.ca2004.1_all.deb
Size: 324364
MD5sum: 23d042492c69e1389f407bb42985f5d0
SHA1: 071a7783f0b144371c67dfe9ae698412553692ab
SHA256: fd607837a55f1ceb84f579d3ca3ae844e23529772657f72c7a370afcef77b6b4
SHA512: ceca0a812c509bfa644f199086bf71e8ced17e6699131c82d05e991f0573e0a3913d61c8eec37f137dba74214afb875513a6f7d50bf181c27eb6e0982dc92d73
Homepage: https://cran.r-project.org/package=iterors
Description: CRAN Package 'iterors' (Fast, Compact Iterators and Tools)
 A fresh take on iterators in R. Designed to be cross-compatible with the
 'iterators' package, but using the 'nextOr' method will offer better
 performance as well as more compact code. With batteries included: includes
 a collection of iterator constructors and combinators ported and refined
 from the 'iterators', 'itertools', and 'itertools2' packages.

Package: r-cran-iterpc
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iterators, r-cran-gmp, r-cran-arrangements
Suggests: r-cran-foreach, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iterpc_0.4.2-1.ca2004.1_all.deb
Size: 34140
MD5sum: 69478c030d7e9a23b7d12beb43573226
SHA1: 2b239200fbf75a94289598aaba75889973beafc5
SHA256: 1295b85b9440a2cee88f089b7d765d170b52b57fabb873562a80af2a21917ba8
SHA512: eac5f5b40f29d8e095e53660f4d496f3533615fe2356d2bfaee327a6068b9ad756742e4df3c28a1839fb6d19269e0f3e549220895c298cfeafa8f49402fa2461
Homepage: https://cran.r-project.org/package=iterpc
Description: CRAN Package 'iterpc' (Efficient Iterator for Permutations and Combinations)
 Iterator for generating permutations and combinations. They can be either
 drawn with or without replacement, or with distinct/ non-distinct items
 (multiset). The generated sequences are in lexicographical order (dictionary
 order). The algorithms to generate permutations and combinations are memory
 efficient. These iterative algorithms enable users to process all sequences
 without putting all results in the memory at the same time.  The algorithms
 are written in C/C++ for faster performance. Note: 'iterpc' is no longer
 being maintained. Users are recommended to switch to 'arrangements'.

Package: r-cran-itertools2
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iterators
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-itertools2_0.1.1-1.ca2004.1_all.deb
Size: 115408
MD5sum: 71f6968ec5fe7ca1996d100a040c4a4a
SHA1: 21da01371f2d75de20470e5de9f29fb75259526d
SHA256: 1c3bf190a282dcc287b5de78d4695ac0873d9ba6ce51f49101b20cfb111177a7
SHA512: e64f88962206a439f641c68aa4f1d6680e6e7124ade8142c4e05f2e4097ce34c4cd38c27c0d9347eac07efd792da86aa7b4405f5d8daee5bb517eb4a5cb577b8
Homepage: https://cran.r-project.org/package=itertools2
Description: CRAN Package 'itertools2' (itertools2: Functions creating iterators for efficient looping)
 A port of Python's excellent itertools module to R for efficient looping.

Package: r-cran-itertools
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-foreach
Filename: pool/dists/focal/main/r-cran-itertools_0.1-3-1.ca2004.1_all.deb
Size: 110724
MD5sum: 6de585cc63f0914a067495492bba15c5
SHA1: 2f06fd26c694377928740a5075dfcad2f3fe0fdf
SHA256: b157d43633b87b916563a6ed8f87a01d3e94d45b93da82d6573db08839a2977d
SHA512: b7d72c5690d791a9abff955c6db57eec8ac8498bd7d64b98be2f575800f30d5187ffc64def29fb9c45c01926bc105ca40254eb7aa8267d56fb69a516285d963f
Homepage: https://cran.r-project.org/package=itertools
Description: CRAN Package 'itertools' (Iterator Tools)
 Various tools for creating iterators, many patterned after functions in the
 Python itertools module, and others patterned after functions in the 'snow'
 package.

Package: r-cran-itnr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-network, r-cran-circlize, r-cran-rcolorbrewer, r-cran-xergm.common, r-cran-reshape2, r-cran-maps, r-cran-blockmodeling, r-cran-igraph, r-cran-dplyr, r-cran-plyr, r-cran-cowplot, r-cran-ggplot2, r-cran-ggally, r-cran-fastmatch, r-cran-intergraph, r-cran-sna, r-cran-tnet, r-cran-wdi, r-cran-networkdynamic
Filename: pool/dists/focal/main/r-cran-itnr_0.7.0-1.ca2004.1_all.deb
Size: 695276
MD5sum: 0570857fca3363bcf1d45a909b188832
SHA1: 0458fb2384e4a777d8743831f7493ea344a265a5
SHA256: e5e0fdd8f7a4a98273e5efd2fe3d96bdc28439b5f770992465b8f1b5480ba900
SHA512: e1b70140a94952ce6962404e07e4b9530c215693daf095176d0ce6b2d03b5dde3a1a0611a969d0b13684405985d3848d2734d245948f6ba9bfc23fff5d4fef5e
Homepage: https://cran.r-project.org/package=ITNr
Description: CRAN Package 'ITNr' (Analysis of the International Trade Network)
 Functions to clean and process international trade data into an
 international trade network (ITN) are provided. It then provides a set a
 functions to undertake analysis and plots of the ITN (extract the backbone,
 centrality, blockmodels, clustering). Examining the key players in the ITN
 and regional trade patterns.

Package: r-cran-itol.toolkit
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2664
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-seqinr, r-cran-tidyr, r-cran-ape, r-cran-data.table, r-cran-purrr, r-cran-wesanderson, r-cran-miniui, r-cran-shiny, r-cran-rstudioapi, r-cran-colourpicker, r-cran-ggsci, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-itol.toolkit_1.1.7-1.ca2004.1_all.deb
Size: 748012
MD5sum: d2da9d3f575d274c107dcae1190dc489
SHA1: 5f232a4c1795dd0b4004abae5ce522508a20fa78
SHA256: 200253f477c61d37928fb4569a5a1bd24cdb3205a8598ec26cd8385e79f7fb3f
SHA512: 3e7c0daedb9b79c177b5dcf00862500baddf13edebc256ac654067fcf0600dc3c411894e0afb4e974f7eb0ae6a0f52bf06cb684b73783a84acf7d3ec0fe0bb01
Homepage: https://cran.r-project.org/package=itol.toolkit
Description: CRAN Package 'itol.toolkit' (Helper Functions for 'Interactive Tree Of Life')
 The 'Interactive Tree Of Life' <https://itol.embl.de/> online server can
 edit and annotate trees interactively. The 'itol.toolkit' package can
 support all types of annotation templates.

Package: r-cran-itop
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-corpcor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nmf, r-cran-pcalg, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-itop_1.0.2-1.ca2004.1_all.deb
Size: 88568
MD5sum: 7bd33ae280df1fa9f166874ed6225bef
SHA1: 9987f00173a9ab8111907236dc6fa0b6a9114f79
SHA256: 15bdb0d87b6d7bd933054fc1d7e5abdf115e826fdfe97ca8d9e5b6237ee03dc4
SHA512: d7165c565eb38f808be5393cd07cf1ff902e1890b0de77ddab75a4704984eeaab72afc3e6501f7246c65c263ad676766f34d5c70a848efddbee72f1d560cff55
Homepage: https://cran.r-project.org/package=iTOP
Description: CRAN Package 'iTOP' (Inferring the Topology of Omics Data)
 Infers a topology of relationships between different datasets, such as
 multi-omics and phenotypic data recorded on the same samples. We based this
 methodology on the RV coefficient (Robert & Escoufier, 1976,
 <doi:10.2307/2347233>), a measure of matrix correlation, which we have
 extended for partial matrix correlations and binary data (Aben et al., 2018,
 <doi:10.1101/293993>).

Package: r-cran-itos
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rcbalance, r-cran-biasedurn, r-cran-xtable
Suggests: r-cran-weightedrank
Filename: pool/dists/focal/main/r-cran-itos_1.0.3-1.ca2004.1_all.deb
Size: 276252
MD5sum: 9737851ed6638ac0743f39516387257f
SHA1: 2eac679acd4a00b829b5c816d20198841a519d50
SHA256: 4661cb254b0056b1dd03f7598a23ead3fa3e90ce66b26d1c376c4ad8748d733d
SHA512: 2baf577b28c0ebbe14a50f9ba0f707b0d8a67e99f4a2044586cd86d5bb5077018eb75349d57fa28db6f2a9b6522b39909cb0df98a02df63d2637e747118e7fd3
Homepage: https://cran.r-project.org/package=iTOS
Description: CRAN Package 'iTOS' (Methods and Examples from Introduction to the Theory ofObservational Studies)
 Supplements for a book, "iTOS" = "Introduction to the Theory of
 Observational Studies."  Data sets are 'aHDL' from Rosenbaum (2023a)
 <doi:10.1111/biom.13558> and 'bingeM' from Rosenbaum (2023b)
 <doi:10.1111/biom.13921>.  The function makematch() uses two-criteria
 matching from Zhang et al. (2023) <doi:10.1080/01621459.2021.1981337> to
 create the matched data 'bingeM' from 'binge'.  The makematch() function
 also implements optimal matching (Rosenbaum (1989) <doi:10.2307/2290079>)
 and matching with fine or near-fine balance (Rosenbaum et al. (2007)
 <doi:10.1198/016214506000001059> and Yang et al (2012)
 <doi:10.1111/j.1541-0420.2011.01691.x>).  The book makes use of two other R
 packages, 'weightedRank' and 'tightenBlock'.

Package: r-cran-itraxr
Architecture: all
Version: 1.12.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-compositions, r-cran-readr, r-cran-tiff, r-cran-janitor, r-cran-ggcorrplot, r-cran-rlang, r-cran-tidyr, r-cran-broom, r-cran-tibble, r-cran-stringr, r-cran-munsellinterpol
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-itraxr_1.12.2-1.ca2004.1_all.deb
Size: 2256092
MD5sum: 50bb347ec069edcef1f08fe5338789b5
SHA1: f50efef5d06732db0131ed0ae3c0d225093a952d
SHA256: fd8b61a5fb961a3b9059c6bf4afd2322e9a99feb1335f57fc3fbf6fb9541900b
SHA512: 2c15e197702a8f0434d7594af9d7f098e246f6c5c0d371d4694ca39dec5253de015e959d03765c1ba85e9fcb63b9597f2c5df7e18c9a800825724e34c7afa90b
Homepage: https://cran.r-project.org/package=itraxR
Description: CRAN Package 'itraxR' (Itrax Data Analysis Tools)
 Parse, trim, join, visualise and analyse data from Itrax sediment core
 multi-parameter scanners manufactured by Cox Analytical Systems, Sweden.
 Functions are provided for parsing XRF-peak area files, line-scan optical
 images, and radiographic images, alongside accompanying metadata.  A variety
 of data wrangling tasks like trimming, joining and reducing XRF-peak area
 data are simplified.  Multivariate methods are implemented with appropriate
 data transformation.

Package: r-cran-itrimhoch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-itrimhoch_1.0.0-1.ca2004.1_all.deb
Size: 107508
MD5sum: 42cf57adbb41896df294b9ea54e9d12e
SHA1: 11bce1b3a44c246620e0138eeb32d2f814f56b47
SHA256: cd47b7a23249ae25f0d5b45a0d2385052722ec7569180b6dccd23c1803dfc3a8
SHA512: c64fac1fa87a2cbd2ced3337b8543420234eef888c99703acf5a42cef2ecb1ba1d86d887f87d27e9dc3d739bedcc548b80e8bceaab817286061535c70e1672be
Homepage: https://cran.r-project.org/package=itrimhoch
Description: CRAN Package 'itrimhoch' (Improved Trimmed Weighted Hochberg Procedures and Sample SizeOptimization)
 The improved trimmed weighted Hochberg procedure provides increased
 statistical power and relaxes the dependence assumptions for familywise
 error rate control compared to the original weighted Hochberg procedure.
 This package computes the boundaries required for implementing the proposed
 methodology and includes sample size optimization methods.  See Gou, J.,
 Chang, Y., Li, T., and Zhang, F.(2025). Improved trimmed weighted Hochberg
 procedures with two endpoints and sample size optimization. Technical
 Report.

Package: r-cran-its.analysis
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-car, r-cran-forecast, r-cran-boot, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-its.analysis_1.6.0-1.ca2004.1_all.deb
Size: 36436
MD5sum: 83436cc6e2bab5b04f2789705fc61d27
SHA1: 225e88239acf4b5907600d0ab467a74f971af633
SHA256: dd429e5fd543ea89e657f52f37d43c01c44700a692bf94b6ce0edde952ee479f
SHA512: 7f72614e283acf6868c0c5231c125a44a669309b132bb2e6dfebc824d0364e347c19ec94d59cdcaeed901bdb8ac0f4b81bb39f07fb5a6b6f9369f733011407cd
Homepage: https://cran.r-project.org/package=its.analysis
Description: CRAN Package 'its.analysis' (Running Interrupted Time Series Analysis)
 Two functions for running and then post-estimating an Interrupted Time
 Series Analysis model. This is a solution for running time series analyses
 on temporally short data. See English (2019) 'The its.analysis R package -
 Modelling short time series data'
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3398189> for an
 overview of the method.

Package: r-cran-itsadug
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4918
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mgcv, r-cran-plotfunctions
Suggests: r-cran-knitr, r-cran-xtable, r-cran-sp, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-itsadug_2.4.1-1.ca2004.1_all.deb
Size: 3311536
MD5sum: cbc0e8ab394287255a198b1925cf906f
SHA1: b73c28af4aab9e80da9a9e266a88d989372614d3
SHA256: 2c64c25fcc412cfe47f337fdc1fe6eaf1ebba99f6081cc1733a20427d77da434
SHA512: 423b0b3c5e06b0e0536eec73c604eba8d99493074e438415f31071c8a11535a7c90528361e1575f15278c1dc35f4d681d3cd220b13f04f28cbfe58971849c3b0
Homepage: https://cran.r-project.org/package=itsadug
Description: CRAN Package 'itsadug' (Interpreting Time Series and Autocorrelated Data Using GAMMs)
 GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999) as implemented
 in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear regression
 analysis which is particularly useful for time course data such as EEG,
 pupil dilation, gaze data (eye tracking), and articulography recordings, but
 also for behavioral data such as reaction times and response data. As time
 course measures are sensitive to autocorrelation problems, GAMMs implements
 methods to reduce the autocorrelation problems. This package includes
 functions for the evaluation of GAMM models (e.g., model comparisons,
 determining regions of significance, inspection of autocorrelational
 structure in residuals) and interpreting of GAMMs (e.g., visualization of
 complex interactions, and contrasts).

Package: r-cran-itscalledsoccer
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httpcache, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-r6, r-cran-tidyr, r-cran-stringi, r-cran-rlang, r-cran-data.table, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-itscalledsoccer_0.3.2-1.ca2004.1_all.deb
Size: 551868
MD5sum: 8e0b1b5af3a83eae86964f226775e5a9
SHA1: e64172287326bee302e97fa9664c7016f741a44f
SHA256: b2e9adf5672f29695e85491b2617e2626af9307478b3a731453031f679fafcca
SHA512: 0f3200617d2d64ef023a3cd2ef4f0440971522b869cad31eb78fcdbdc975a778cfb6bb68e56fbf9abd038ffeda134ada56ae607ccd70050774fad23bf266b308
Homepage: https://cran.r-project.org/package=itscalledsoccer
Description: CRAN Package 'itscalledsoccer' (American Soccer Analysis API Client)
 Provides a wrapper around the same API
 <https://app.americansocceranalysis.com/api/v1/__docs__/> that powers the
 American Soccer Analysis app.

Package: r-cran-itsdm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4382
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-fastshap, r-cran-ggplot2, r-cran-isotree, r-cran-mgcv, r-cran-ncdf4, r-cran-outliertree, r-cran-patchwork, r-cran-raster, r-cran-rlang, r-cran-rocit, r-cran-sf, r-cran-stars, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-itsdm_0.2.1-1.ca2004.1_all.deb
Size: 1405660
MD5sum: 2a28fef3e11f13dec3e6c5d5a84010da
SHA1: 150cb1228e840c42ff600825a25713fdded011a4
SHA256: 2ce61b39a84b712cc5e90c668c3155662b04af35bbcfbd4882b595583582192c
SHA512: 69b1355d1149b8722c902df81719a6e8c0ff35e90ee038f2e942c7c741d823db773807f0b1056d2aa4f356f1b2070daafcc11c5676e7ea3aa580244e5f9acdde
Homepage: https://cran.r-project.org/package=itsdm
Description: CRAN Package 'itsdm' (Isolation Forest-Based Presence-Only Species DistributionModeling)
 Collection of R functions to do purely presence-only species distribution
 modeling with isolation forest (iForest) and its variations such as Extended
 isolation forest and SCiForest. See the details of these methods in
 references: Liu, F.T., Ting, K.M. and Zhou, Z.H. (2008)
 <doi:10.1109/ICDM.2008.17>, Hariri, S., Kind, M.C.  and Brunner, R.J. (2019)
 <doi:10.1109/TKDE.2019.2947676>, Liu, F.T., Ting, K.M. and Zhou, Z.H. (2010)
 <doi:10.1007/978-3-642-15883-4_18>, Guha, S., Mishra, N., Roy, G. and
 Schrijvers, O. (2016) <https://proceedings.mlr.press/v48/guha16.html>,
 Cortes, D. (2021) <arXiv:2110.13402>. Additionally, Shapley values are used
 to explain model inputs and outputs. See details in references: Shapley,
 L.S.  (1953) <doi:10.1515/9781400881970-018>, Lundberg, S.M. and Lee, S.I.
 (2017) <https://dl.acm.org/doi/abs/10.5555/3295222.3295230>, Molnar, C.
 (2020) <ISBN:978-0-244-76852-2>, Štrumbelj, E. and Kononenko, I.  (2014)
 <doi:10.1007/s10115-013-0679-x>. itsdm also provides functions to diagnose
 variable response, analyze variable importance, draw spatial dependence of
 variables and examine variable contribution. As utilities, the package
 includes a few functions to download bioclimatic variables including
 'WorldClim' version 2.0 (see Fick, S.E. and Hijmans, R.J. (2017)
 <doi:10.1002/joc.5086>) and 'CMCC-BioClimInd' (see Noce, S., Caporaso, L.
 and Santini, M. (2020) <doi:10.1038/s41597-020-00726-5>.

Package: r-cran-itsmr
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-itsmr_1.11-1.ca2004.1_all.deb
Size: 174244
MD5sum: f53ba219ef6dd0ec8342599df7733b89
SHA1: b2df5610df3266ae6855026df3847327821632d1
SHA256: 5c9fb29a4af250953b0add112372ff9e11171b6cda68eed1159081746f1aa850
SHA512: 96ad25d6cd0080208822b4852a378af180da9e9d0636a453bc4d4adeb4e50e4c1861a0cd8cb0b6157b0e7d77efcc821091df8bc5a330466adddc4e3494b5544a
Homepage: https://cran.r-project.org/package=itsmr
Description: CRAN Package 'itsmr' (Time Series Analysis Using the Innovations Algorithm)
 Provides functions for modeling and forecasting time series data.
 Forecasting is based on the innovations algorithm. A description of the
 innovations algorithm can be found in the textbook "Introduction to Time
 Series and Forecasting" by Peter J. Brockwell and Richard A. Davis.

Package: r-cran-iucnr
Architecture: all
Version: 0.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-rlang, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-iucnr_0.0.0.1-1.ca2004.1_all.deb
Size: 21388
MD5sum: 4851f4320ffa504b4d3e2cf41b86d6f1
SHA1: b429b8bc38b1207676a1ac8cbd7bb8d547432cfd
SHA256: da3762519babd624b0bf0c944ba5e3b91f3024b340cb93c41379d2b94ff6fa11
SHA512: fee724cd9f679f57866fb6f106fd886876c5bba4cd17501504d1a02d6e9cddf498e59c4dcc68bddc59628c4d5fa08e4aaaacc32cb40be6b267ea47b737a3da09
Homepage: https://cran.r-project.org/package=iucnr
Description: CRAN Package 'iucnr' (IUCN Red List Data)
 Facilitates access to the International Union for Conservation of Nature
 (IUCN) Red List of Threatened Species, a comprehensive global inventory of
 species at risk of extinction. This package streamlines the process of
 determining conservation status by matching species names with Red List
 data, providing tools to easily query and retrieve conservation statuses.
 Designed to support biodiversity research and conservation planning, this
 package relies on data from the 'iucnrdata' package, available on GitHub
 <https://github.com/PaulESantos/iucnrdata>. To install the data package, use
 pak::pak('PaulESantos/iucnrdata').

Package: r-cran-iva
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ucminf, r-cran-formula
Filename: pool/dists/focal/main/r-cran-iva_0.1.0-1.ca2004.1_all.deb
Size: 179412
MD5sum: 79a7db72b1a3fc9b891c02029bd7ba59
SHA1: 11694c83011bc8d8564d74a538e1220eb964024d
SHA256: abb3fdf74cd07c7c0e17647d31879ccda4a99b4e828777468ce37522ba7e4160
SHA512: 35f899227aa18e789112d76a29a1030bf09510203b6deb0c5cb5524db79126adc529dab2c9eaf4235c3d90919a74511fd78380ef6387ca748ee8a0f18ceaa150
Homepage: https://cran.r-project.org/package=iva
Description: CRAN Package 'iva' (Instrumental Variable Analysis in Case-Control AssociationStudies)
 Mendelian randomization (MR) analysis is a special case of instrumental
 variable analysis with genetic instruments. It is used to estimate the
 unconfounded causal effect of an exposure. This package implements
 estimating and testing methods in Zhang et al. (2019) for MR analysis in
 case-control studies. It (1) estimates the causal effect of a quantitative
 exposure by the quasi empirical likelihood approach; (2) uses Lagrange
 multiplier test for testing the presence of causal; (3) provides a test for
 the presence of confounder.

Package: r-cran-ivabss
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bssprep
Suggests: r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-ivabss_1.0.0-1.ca2004.1_all.deb
Size: 84392
MD5sum: 8a36d4f0ad0450eb533f22226f8dcf48
SHA1: 4ddb7a205b0ab3516874b82ee3ed6bcf4c55abd3
SHA256: 9132a17a2f91258c88ef97bbd104800e5cf56026f231b8f43f8316fa4ed5b31b
SHA512: abc1de4d4f1ab53e69044b7ae74bc2d39764549352e0a3080664c1c2e9dd58e69a23505100e1143c4fc6d2837981897dc0464894f6d8804189eb6f5a38d2945c
Homepage: https://cran.r-project.org/package=ivaBSS
Description: CRAN Package 'ivaBSS' (Tools for Independent Vector Analysis)
 Independent vector analysis (IVA) is a blind source separation (BSS) model
 where several datasets are jointly unmixed. This package provides several
 methods for the unmixing together with some performance measures. For
 details, see Anderson et al. (2011) <doi:10.1109/TSP.2011.2181836> and Lee
 et al. (2007) <doi:10.1016/j.sigpro.2007.01.010>.

Package: r-cran-ivcor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-bwquant, r-cran-quantdr
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ivcor_0.1.0-1.ca2004.1_all.deb
Size: 57008
MD5sum: 036b36604042e3145d9dd374355b1502
SHA1: 25af7d242da3b2c0eedff7509a64fc5ed6c3db70
SHA256: f21715ae0a7878d0381781acb544f92ea935348b4c5102520e959a7ac70bc7aa
SHA512: 99eb116a926985990910044903d272359af381a5572e2055015a7ec48a659479d4a5023d9daebf236b7d43153272743f14583635bc97981c917d2d607dcc16e9
Homepage: https://cran.r-project.org/package=IVCor
Description: CRAN Package 'IVCor' (A Robust Integrated Variance Correlation)
 A integrated variance correlation is proposed to measure the dependence
 between a categorical or continuous random variable and a continuous random
 variable or vector.  This package is designed to estimate the new
 correlation coefficient with parametric and nonparametric approaches.  Test
 of independence for different problems can also be implemented via the new
 correlation coefficient with this package.

Package: r-cran-ivdesc
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-purrr, r-cran-rsample
Suggests: r-cran-icsw, r-cran-haven
Filename: pool/dists/focal/main/r-cran-ivdesc_1.1.1-1.ca2004.1_all.deb
Size: 29620
MD5sum: d2996596f3ec8ffb0816cf0c063c511d
SHA1: 84cc23755fa7b836eb6744202fb58d27bbafe2d1
SHA256: 9b869f4355174ac4626aa511ec2ff11aa98207c4faddfc727b664e1ba52f6bcd
SHA512: 48e31da179c7d2719c562ad5aa4d56592fb1213ac532651c04e9df8a558c0731382d4e6312ee3bc6114ee33cf96f3930b3092476a4f2398f657055f2b1655f28
Homepage: https://cran.r-project.org/package=ivdesc
Description: CRAN Package 'ivdesc' (Profiling Compliers and Non-Compliers for Instrumental VariableAnalysis)
 Estimating the mean and variance of a covariate for the complier,
 never-taker and always-taker subpopulation in the context of instrumental
 variable estimation. This package implements the method described in Marbach
 and Hangartner (2020) <doi:10.1017/pan.2019.48> and Hangartner, Marbach,
 Henckel, Maathuis, Kelz and Keele (2021) <arXiv:2103.06328>.

Package: r-cran-ivdesign
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ivdesign_0.1.0-1.ca2004.1_all.deb
Size: 49752
MD5sum: 9a215502ee8f4c89997683f140e91173
SHA1: b5882bbc49ea4b0c07a46562a23995ed611a6351
SHA256: 840e0652fb6c8f4ecab4a726269a95060eb863de5da66039c175c5b0e823628f
SHA512: 66927ba98cb1ee6b9736c46e3d9c89ca5c8357001b345cccc032d9e4a70713bf6f5156a2808484b54127806665ba42cb20114727528ea79e15d47ecd9975075a
Homepage: https://cran.r-project.org/package=ivdesign
Description: CRAN Package 'ivdesign' (Hypothesis Testing in Cluster-Randomized Encouragement Designs)
 An implementation of randomization-based hypothesis testing for three
 different estimands in a cluster-randomized encouragement experiment. The
 three estimands include (1) testing a cluster-level constant proportional
 treatment effect (Fisher's sharp null hypothesis), (2) pooled effect ratio,
 and (3) average cluster effect ratio. To test the third estimand, user needs
 to install 'Gurobi' (>= 9.0.1) optimizer via its R API. Please refer to
 <https://www.gurobi.com/documentation/9.0/refman/ins_the_r_package.html>.

Package: r-cran-ivdiag
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreach, r-cran-future, r-cran-doparallel, r-cran-lfe, r-cran-fixest, r-cran-ggplot2, r-cran-ggfortify, r-cran-wcorr, r-cran-haven, r-cran-glue, r-cran-patchwork, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ivdiag_1.0.6-1.ca2004.1_all.deb
Size: 361872
MD5sum: ff712aa8e147f68018b25751c99aae13
SHA1: 0d96f03791857430517d9d21d53aa3d4d5e28a85
SHA256: 43e220f2b2840a33ed220fcc552a5e2b513574e4e891eb177636618683555661
SHA512: b119f50dcf5b5507db51191a81a09af583b8b157ef3709cd0a5b85d882e883aeb10ad6dcf6f7879f27bff24af17d623834860213de203d0e71826447484dffda
Homepage: https://cran.r-project.org/package=ivDiag
Description: CRAN Package 'ivDiag' (Estimation and Diagnostic Tools for Instrumental VariablesDesigns)
 Estimation and diagnostic tools for instrumental variables designs, which
 implements the guidelines proposed in Lal et al. (2023) <arXiv:2303.11399>,
 including bootstrapped confidence intervals, effective F-statistic,
 Anderson-Rubin test, valid-t ratio test, and local-to-zero tests.

Package: r-cran-ivdml
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-ranger, r-cran-xgboost
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ivdml_1.0.0-1.ca2004.1_all.deb
Size: 98220
MD5sum: 35bf8382bb4be2d1c53bda8b910267f9
SHA1: 0455efbb3166be10d1ffdd4b61292e25cf1fec66
SHA256: 90fb5f479c1e2d75eb5a9f8bc32de6b09415c90b8e1a1ab264a5822a89a43b84
SHA512: 28adc18d9e65f218bba162dac04c48b03049b0f9eb9b6f57ddcccf9bbd4b2155568c73ec6d1511b30562645e829c56704f68e69bb189df80b7e89a51fe4a0fc4
Homepage: https://cran.r-project.org/package=IVDML
Description: CRAN Package 'IVDML' (Double Machine Learning with Instrumental Variables andHeterogeneity)
 Instrumental variable (IV) estimators for homogeneous and heterogeneous
 treatment effects with efficient machine learning instruments.  The
 estimators are based on double/debiased machine learning allowing for
 nonlinear and potentially high-dimensional control variables. Details can be
 found in Scheidegger, Guo and Bühlmann (2025) "Inference for heterogeneous
 treatment effects with efficient instruments and machine learning"
 <doi:10.48550/arXiv.2503.03530>.

Package: r-cran-ivfixed
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-ivfixed_1.0-1.ca2004.1_all.deb
Size: 20692
MD5sum: 7aeec7ba30cc1b1477fe07d8c37f6498
SHA1: 69ea54e4c7fff4554d9c836c49f03ca6ddf81500
SHA256: ed91a48e92518b03baee93ee061b3814ce300b0229148628f9a8ec4187bb79bb
SHA512: 4e730ee906b5190d25528f1213603553f4e6e32fe23680f47246505521b5947c4b41e42cfcbb4f181c3197107659cdadcdacc57ede62276d24371d56707447d0
Homepage: https://cran.r-project.org/package=ivfixed
Description: CRAN Package 'ivfixed' (Instrumental fixed effect panel data model)
 Fit an Instrumental least square dummy variable model

Package: r-cran-ivgets
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gets, r-cran-ivreg, r-cran-stringr
Suggests: r-cran-covr, r-cran-formula, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ivgets_0.1.2-1.ca2004.1_all.deb
Size: 138028
MD5sum: d59262aec9d3bcdfa7d7efea88d7c6b6
SHA1: 7a629975d3f10c44f06f9dbc3f87add5961b2f38
SHA256: 732f7d9f73da5f0fa2a6afb910cc19952c22d646d1bfb6af9a7e78a077400e86
SHA512: 1090e7d0d247e3aefd6d2007f595794f2abcf81f28e19665fbd17070807e852f725ad4284a63c665781418e99de9cc9d560960ced05c71323e9a6b15f5aaef8f
Homepage: https://cran.r-project.org/package=ivgets
Description: CRAN Package 'ivgets' (General to Specific Modeling and Indicator Saturation in 2SLSModels)
 Provides facilities of general to specific model selection for exogenous
 regressors in 2SLS models. Furthermore, indicator saturation methods can be
 used to detect outliers and structural breaks in the sample.

Package: r-cran-ivitr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-randomforest, r-cran-dplyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-ivitr_0.1.0-1.ca2004.1_all.deb
Size: 60084
MD5sum: 88a69411560dba851a2466d75427b29b
SHA1: 29867cf8e90075b87c2f72be15ae29379df2f215
SHA256: 914aca6d4100975e92d15f7b7dc06b27a7da1a023170deec15f329ef17bb5a37
SHA512: 2cf4fd7cc0ade8260a23f9efaf94f7595185d6250e4f5b2a53b8720fb2ef0f6b1f44febeb0e2766b1de57232abcc4ffc42a3f86e7be8f5539cdfcc2015b8099a
Homepage: https://cran.r-project.org/package=ivitr
Description: CRAN Package 'ivitr' (Estimate IV-Optimal Individualized Treatment Rules)
 A method that estimates an IV-optimal individualized treatment rule. An
 individualized treatment rule is said to be IV-optimal if it minimizes the
 maximum risk with respect to the putative IV and the set of IV
 identification assumptions. Please refer to <arXiv:2002.02579> for more
 details on the methodology and some theory underpinning the method. Function
 IV-PILE() uses functions in the package 'locClass'. Package 'locClass' can
 be accessed and installed from the 'R-Forge' repository via the following
 link: <https://r-forge.r-project.org/projects/locclass/>.  Alternatively,
 one can install the package by entering the following in R:
 'install.packages("locClass", repos="<http://R-Forge.R-project.org>")'.

Package: r-cran-ivmodel
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-formula, r-cran-reshape2, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ivmodel_1.9.1-1.ca2004.1_all.deb
Size: 415956
MD5sum: 1ef4feb9aa9b39ccc0541659cd8b4ce2
SHA1: 4ada470a8b59d65fc71135ff4ac546f9d0b79833
SHA256: ed7af75cd6621ffb17b72c5f60539669441d34d4ffe31aec492a826fd771002d
SHA512: e2cdb72a6ffe5857d0f6f7ad0cc8dfccdc831011e827ea6c675de609957a8e0e50d87585e3be2181e70f7be0de0a66f19ad9721d8270a5309f2111ed8ea627d7
Homepage: https://cran.r-project.org/package=ivmodel
Description: CRAN Package 'ivmodel' (Statistical Inference and Sensitivity Analysis for InstrumentalVariables Model)
 Carries out instrumental variable estimation of causal effects, including
 power analysis, sensitivity analysis, and diagnostics. See Kang, Jiang,
 Zhao, and Small (2020) <http://pages.cs.wisc.edu/~hyunseung/> for details.

Package: r-cran-ivmte
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Suggests: r-cran-slam, r-cran-lpsolveapi, r-cran-rmosek, r-cran-testthat, r-cran-data.table, r-cran-splines2, r-cran-future.apply, r-cran-future, r-cran-matrix, r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-aer, r-cran-lsei, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-ivmte_1.4.0-1.ca2004.1_all.deb
Size: 1469228
MD5sum: 8a1d56769f2282c4024c202ac75ec5db
SHA1: 2c842cf60da95bb336db873de204bd44b97948b2
SHA256: c90af44f3c05f875601936e66bdf7b018f8144ca7811bb9cf4b0f7c34c638fba
SHA512: d99b537852db4ae38f5c50c3ccac693a3956a6b830e55de21fbebbb70ebadc757d15764eae4e02daad7c175414eb1bd5251b49cc2b5874640bd70f12a493395f
Homepage: https://cran.r-project.org/package=ivmte
Description: CRAN Package 'ivmte' (Instrumental Variables: Extrapolation by Marginal TreatmentEffects)
 The marginal treatment effect was introduced by Heckman and Vytlacil (2005)
 <doi:10.1111/j.1468-0262.2005.00594.x> to provide a choice-theoretic
 interpretation to instrumental variables models that maintain the
 monotonicity condition of Imbens and Angrist (1994) <doi:10.2307/2951620>.
 This interpretation can be used to extrapolate from the compliers to
 estimate treatment effects for other subpopulations. This package provides a
 flexible set of methods for conducting this extrapolation. It allows for
 parametric or nonparametric sieve estimation, and allows the user to
 maintain shape restrictions such as monotonicity. The package operates in
 the general framework developed by Mogstad, Santos and Torgovitsky (2018)
 <doi:10.3982/ECTA15463>, and accommodates either point identification or
 partial identification (bounds). In the partially identified case, bounds
 are computed using either linear programming or quadratically constrained
 quadratic programming. Support for four solvers is provided. Gurobi and the
 Gurobi R API can be obtained from <http://www.gurobi.com/index>. CPLEX can
 be obtained from <https://www.ibm.com/analytics/cplex-optimizer>. CPLEX R
 APIs 'Rcplex' and 'cplexAPI' are available from CRAN. MOSEK and the MOSEK R
 API can be obtained from <https://www.mosek.com/>. The lp_solve library is
 freely available from <http://lpsolve.sourceforge.net/5.5/>, and is included
 when installing its API 'lpSolveAPI', which is available from CRAN.

Package: r-cran-ivo.table
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-flextable, r-cran-checkmate, r-cran-officer, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-palmerpenguins
Filename: pool/dists/focal/main/r-cran-ivo.table_0.6-1.ca2004.1_all.deb
Size: 72976
MD5sum: 22d4b98ed1969e58481b35f3be8ed30b
SHA1: 1005215b79af44eef35448d67af1e6e26a46d1e9
SHA256: 8ba47c34ac1da32d7dffa035aa82568895e06febe663fe1ed55c5f85c01695c3
SHA512: cb51ec06dbc9167f3b4756bed19e2e001ab51f3e2de3f937a57c210d545666effcc8fbff358d4453b3a8b0efa822a5d5519e34ca1a0fb2331684a7722c6b02a4
Homepage: https://cran.r-project.org/package=ivo.table
Description: CRAN Package 'ivo.table' (Nicely Formatted Contingency Tables and Frequency Tables)
 Nicely formatted frequency tables and contingency tables (1-way, 2-way,
 3-way and 4-way tables), that can easily be exported to HTML or 'Office'
 documents. Designed to work with pipes.

Package: r-cran-ivpack
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-sandwich, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-ivpack_1.2-1.ca2004.1_all.deb
Size: 120336
MD5sum: e3cb5316c68c98a71763b5142d4bfdb6
SHA1: adf0bccdd1af472a81e135db9bdb09a355a0a20f
SHA256: 66ed29c7356745b5482ec5f497909ae071022099a8f0c694f320bef7df5d030f
SHA512: 54c208bead184088b57091666d0467cda5b4502ca007420d5fa469db1ab879b583629605910f86de3e16cb1b9400a1b65cad4eff88490b2f835164ed919884e8
Homepage: https://cran.r-project.org/package=ivpack
Description: CRAN Package 'ivpack' (Instrumental Variable Estimation)
 This package contains functions for carrying out instrumental variable
 estimation of causal effects and power analyses for instrumental variable
 studies.

Package: r-cran-ivpanel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-ivpanel_1.0-1.ca2004.1_all.deb
Size: 29332
MD5sum: 34c0b64330669e9a98e75a78c0735248
SHA1: 98091820662d0dfe79f8396aaa92b0d4f34977e3
SHA256: 709bc1a757c8c329f1ef09efb8fe7f7699737dcf6bac9b082ded23e83cd5fb4b
SHA512: 8c6dd5ed5e96d5d5090d5b468b4c066a48609cd57ef3fe01a35a5a867b0269d9ca43b6025fa8fbb30d9eff1ce6eb2ccf325082cfaf691c3a20c3ac637f85c9c7
Homepage: https://cran.r-project.org/package=ivpanel
Description: CRAN Package 'ivpanel' (Instrumental Panel Data Models)
 Fit the instrumental panel data models: the fixed effects, random effects
 and between models.

Package: r-cran-ivpp
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bootnet, r-cran-clustergeneration, r-cran-dplyr, r-cran-mvtnorm, r-cran-psychonetrics, r-cran-graphicalvar, r-cran-lifecycle, r-cran-future.apply, r-cran-future
Filename: pool/dists/focal/main/r-cran-ivpp_1.1.1-1.ca2004.1_all.deb
Size: 72588
MD5sum: c0a6d1cb4182740a1a428ae120589400
SHA1: c39e8be352fefdae82efcfbc2b1d55e2c2e97d69
SHA256: f1ad0bed131f0ba42a261985fa54cbb898e502bb4ddcaaadc68889bde006eeaf
SHA512: 8aac40669854e2a71fced4c33353b7849e622067a19003bc0b1c9582098e9e32f0c6de20f3e1aa445c31b522a8580c4148dde041b4b04cc635662c5e94fc624c
Homepage: https://cran.r-project.org/package=IVPP
Description: CRAN Package 'IVPP' (Invariance Partial Pruning Test)
 An implementation of the Invariance Partial Pruning (IVPP) approach
 described in Du, X., Johnson, S. U., Epskamp, S. (2025) The Invariance
 Partial Pruning Approach to The Network Comparison in Longitudinal Data.
 IVPP is a two-step method that first test for global network structural
 difference with invariance test and then inspect specific edge difference
 with partial pruning.

Package: r-cran-ivprobit
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-ivprobit_1.1-1.ca2004.1_all.deb
Size: 72872
MD5sum: 0821bb399ad57a3b3b58823649951cd6
SHA1: 2318dadac04f3bcbd23d7a52641a98aeb443231b
SHA256: 26de47271ff5b16dfccfe064a2cf533569e22ac5607579744a2b85b9c401ba93
SHA512: 21d75425bb75225a45bb1018f4c9889d98521c460446ef59fa2061b51b10945ae094e2df6e04fc5e2c585de477c74aa519e32bc6943ef23ee80737874217f430
Homepage: https://cran.r-project.org/package=ivprobit
Description: CRAN Package 'ivprobit' (Instrumental Variables Probit Model)
 Compute the instrumental variables probit model using the Amemiya's
 Generalized Least Squares estimators (Amemiya, Takeshi, (1978) <doi:
 10.2307/1911443>).

Package: r-cran-ivreg
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2515
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-formula, r-cran-lmtest, r-cran-mass
Suggests: r-cran-aer, r-cran-effects, r-cran-knitr, r-cran-insight, r-cran-rmarkdown, r-cran-sandwich, r-cran-testthat, r-cran-modelsummary, r-cran-gt, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ivreg_0.6-5-1.ca2004.1_all.deb
Size: 1099124
MD5sum: b4d3d0e78d08aea20aba16258b5dbf0d
SHA1: af0ddfa2828a6bdbc05fe350a192679be58f9f26
SHA256: b11f417c334bc7e68df71decd1da67ebf0b22f4250f061a9098217e944c4da5e
SHA512: 53a344a7e0f1f8570a7cf8b12b87af7c4c98a6f8229479adac01e8b0872d06a88a4148daa96ad25a2201d5f855cb38a1a5d1b61051312bf88570166ba227adb0
Homepage: https://cran.r-project.org/package=ivreg
Description: CRAN Package 'ivreg' (Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM',with Diagnostics)
 Instrumental variable estimation for linear models by two-stage
 least-squares (2SLS) regression or by robust-regression via M-estimation
 (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is
 designed to provide a workflow as similar as possible to standard lm()
 regression. A wide range of methods is provided for fitted ivreg model
 objects, including extensive functionality for computing and graphing
 regression diagnostics in addition to other standard model tools.

Package: r-cran-ivregex
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmtest, r-cran-sandwich, r-cran-aer, r-cran-formula
Filename: pool/dists/focal/main/r-cran-ivregex_1.0-1.ca2004.1_all.deb
Size: 115040
MD5sum: ff61579fb29d2753304cd7a0103e8e8f
SHA1: cb8d270dfbe451ca8aaf00ea0ce8df8526a99fda
SHA256: edb1ff2ec5828eda7cd5207d8daebafea4a2af6677e00638fc781a9c30a95819
SHA512: 5845849c98097a76f4030509ca1893b241801fc762e632c0bc4c4d1bf387dd79843092cf57685d839ed7a17895d2a992f4d550721a9371ca503f3531d2cce7bf
Homepage: https://cran.r-project.org/package=ivregEX
Description: CRAN Package 'ivregEX' (Create Independent Evidence in IV Analyses and Do SensitivityAnalysis in Regression and IV Analysis)
 Allows you to create an evidence factor (EX analysis) in an instrumental
 variables regression model. Additionally, performs Sensitivity analysis for
 OLS analysis, 2SLS analysis and EX analysis with interpretable plotting and
 printing features.

Package: r-cran-ivs
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-bit64, r-cran-clock, r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ivs_0.2.0-1.ca2004.1_all.deb
Size: 396840
MD5sum: 91a973a5422b9fe7589a423fb8d7a6db
SHA1: 6d65145ea89d11089451e3d5d7111bae9bc2b21f
SHA256: 1552655c26753818ace5858b057ef15a18cbda14b43663085f9c39f80dbc4540
SHA512: 5fbeeb39b318247b1b8eef9532a998ccce8444e38e8082bdcd6d32949260bf80ab4a6fe04186f07f6c7b969284885a65c2b80c6ce1b132a8b7290bd840b2e421
Homepage: https://cran.r-project.org/package=ivs
Description: CRAN Package 'ivs' (Interval Vectors)
 Provides a library for generic interval manipulations using a new interval
 vector class. Capabilities include: locating various kinds of relationships
 between two interval vectors, merging overlaps within a single interval
 vector, splitting an interval vector on its overlapping endpoints, and
 applying set theoretical operations on interval vectors. Many of the
 operations in this package were inspired by James Allen's interval algebra,
 Allen (1983) <doi:10.1145/182.358434>.

Package: r-cran-ivyplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-ivyplot_0.1.0-1.ca2004.1_all.deb
Size: 15192
MD5sum: d0d388ba2d7913f51a167313add796bb
SHA1: 05971cd88e33b145e34f33d9c38c76dda0b8d66b
SHA256: 24781e4ce7e11ba6485feb4921703f231f082449297fd91d5a6f534e76651b8d
SHA512: 4372ccad378e104b28cee34de3fc9f0397b67a7927a8af350dc709b030b5fc3782ff2edeae4eecdd6dc8509e04874406d8abe1edd311571c5969587821eac21b
Homepage: https://cran.r-project.org/package=IVYplot
Description: CRAN Package 'IVYplot' (Produces an IVY Plot (Similar to Dot Plot) with/withoutFrequencies)
 For a single variable, the IVY Plot stacks tied values in the form of
 leaflets. Five leaflets join to form a leaf.  Leaves are stacked vertically.
 At most twenty leaves are shown; For high frequency, each leaflet may
 represent more than one observation with multiplicity declared in the
 subtitle.

Package: r-cran-iwaqr
Architecture: all
Version: 1.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggthemes, r-cran-ggrepel, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-iwaqr_1.8.4-1.ca2004.1_all.deb
Size: 93236
MD5sum: e12c68d73b9a7b9d64a3b02a44521207
SHA1: 7ecd62ffc754d85c028a34a5d25c0dda07bf4b6a
SHA256: 383525f2dae73c5628d9a0d1fbe1d3729abf9ec6b0fdf60f7334021e5f0572b3
SHA512: d0e3309d5106a26bc3ffb0d10c347de79e7e3ca41c1852ff0c396dd45e13270dd392e27cc62cf03d818ce0fe0af9f9e203187351bbc54d6cb82079fe1977bb17
Homepage: https://cran.r-project.org/package=iwaqr
Description: CRAN Package 'iwaqr' (Irrigation Water Quality Assessment and Visualizations)
 Calculates irrigation water quality ratios and has functions that could be
 used to plot several popular diagrams for irrigation water quality
 classification.

Package: r-cran-iweigreg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-trust
Filename: pool/dists/focal/main/r-cran-iweigreg_1.1-1.ca2004.1_all.deb
Size: 341348
MD5sum: 67db10ed950a39cba7c47f1e70e38a77
SHA1: f35689852448e09e31af2d8c9025096a9cf6ffab
SHA256: 7afb460a4fe5b6c56057eee77709405d2b7f2ef1d096e4194c8d9565644ad609
SHA512: 07599348fd8e3213cd80d04dd9f612f7430ee67ddf861085f48dd4110e56f4072c3b8e634f037ff34c59f4622cafbc6ee6eafd3b48f00014a2128d15a32630cd
Homepage: https://cran.r-project.org/package=iWeigReg
Description: CRAN Package 'iWeigReg' (Improved Methods for Causal Inference and Missing Data Problems)
 Improved methods based on inverse probability weighting and outcome
 regression for causal inference and missing data problems.

Package: r-cran-iwisa
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waveslim, r-cran-fda, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-iwisa_1.0-2-1.ca2004.1_all.deb
Size: 3266700
MD5sum: 435766ca394261980f5453cd53a20f62
SHA1: f966aed5da4e995b308357e6ca8198c05ea1447e
SHA256: a047d5f70048593d7176e7479ee30d15d25913ade7b4df037e5bd7a26a929d64
SHA512: a3030177345fe180df6c555296e8159e87be809b3608798cadbaf6dbe8dfe89a9c5595b6939d3bfd9970fd063c73c5635b38cf689fb6b4f253089fd090a8fde8
Homepage: https://cran.r-project.org/package=iWISA
Description: CRAN Package 'iWISA' (Wavelet-Based Index of Storm Activity)
 A powerful system for estimating an improved wavelet-based index of magnetic
 storm activity, storm activity preindex (from individual station) and SQ
 variations.  It also serves as a flexible visualization tool.

Package: r-cran-ixplorer
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3419
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-gitear, r-cran-kableextra, r-cran-lubridate, r-cran-miniui, r-cran-rcolorbrewer, r-cran-shiny.i18n, r-cran-shiny, r-cran-stringr, r-cran-shinywidgets, r-cran-purrr, r-cran-gert, r-cran-keyring
Suggests: r-cran-knitr, r-cran-git2r, r-cran-here, r-cran-tibble, r-cran-readr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ixplorer_0.2.2-1.ca2004.1_all.deb
Size: 1380576
MD5sum: e8814838f6aa12d2cb0ef766e063fa19
SHA1: 8e601c0586535bee3402236778adaaf0b16fcd71
SHA256: 8543e3725590f2e9d6f6b3f1baf60c3cb01e7054463800842cc71c85b081364a
SHA512: da52c724cd068f4cb2af58652c2e768c34fd18ff8de421c4ef01d9caf892acdd71b5093563c38da8e3a56337c130dcf1972069c5bc4df428512735cc09437cba
Homepage: https://cran.r-project.org/package=ixplorer
Description: CRAN Package 'ixplorer' (Easy DataOps for R Users)
 Create and view tickets in 'gitea', a self-hosted git service
 <https://gitea.io>, using an 'RStudio' addin, and use helper functions to
 publish documentation and use git.

Package: r-cran-ixpopdymod
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 739
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-checkmate
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ixpopdymod_0.3.0-1.ca2004.1_all.deb
Size: 470876
MD5sum: 3bc436457a0e5e8d746910815593a917
SHA1: 7e0bae0606d0013eb47f907116fc0760805b4325
SHA256: f5021fc2105af534820aced335964319fd20f5040c5f3f2b5533e0f637241549
SHA512: d95bb67478f0e00e4834b4800cb2844aea2304fe361c6864a5d4ac472eba19b37795143313bcdf83f9a057087264ea46cc854895adeddacd746714b5928f463c
Homepage: https://cran.r-project.org/package=IxPopDyMod
Description: CRAN Package 'IxPopDyMod' (Framework for Tick Population and Infection Modeling)
 Code to specify, run, and then visualize and analyze the results of Ixodidae
 (hard-bodied ticks) population and infection dynamics models. Such models
 exist in the literature, but the source code to run them is not always
 available. 'IxPopDyMod' provides an easy way for these models to be written
 and shared.

Package: r-cran-izid
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-extradistr, r-cran-rootsolve, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-izid_0.0.1-1.ca2004.1_all.deb
Size: 163392
MD5sum: 7b4e25595d260888fc98fe3a403afe82
SHA1: 48ec4ce6690fc7d3de072b8d3d873de243ffd94d
SHA256: 8847fb33684f23949d4467939fff345454646888e0293fd0551d214a1363da78
SHA512: bf0d4ca99d09357bb03eaf1341eb6c2d7a6c04163f9523c7426ec473e2f441fa038523bd75ec8289dc9266cb0229aee535511eda90296d53e59f84f96175a073
Homepage: https://cran.r-project.org/package=iZID
Description: CRAN Package 'iZID' (Identify Zero-Inflated Distributions)
 Computes bootstrapped Monte Carlo estimate of p value of Kolmogorov-Smirnov
 (KS) test and likelihood ratio test for zero-inflated count data, based on
 the work of Aldirawi et al. (2019) <doi:10.1109/BHI.2019.8834661>. With the
 package, user can also find tools to simulate random deviates from zero
 inflated or hurdle models and obtain maximum likelihood estimate of unknown
 parameters in these models.

Package: r-cran-izmir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rvest, r-cran-stringr, r-cran-jsonlite, r-cran-readr, r-cran-openxlsx, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-devtools, r-cran-roxygen2, r-cran-covr, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-izmir_0.1.0-1.ca2004.1_all.deb
Size: 17528
MD5sum: cdb02b263857536f4f7ee3e79463eb33
SHA1: 85223ac7a1fc93cef9019f61d3e979c038749bf0
SHA256: 30aad1faba3d0e24daadd1b998704d9f75d2a7e1f723888325470c3408ac1f98
SHA512: 083e390ad116461a85cb145fba666c79a181d6a38b7c7a3d3361d09a621729f52b0d5f4e5299af06771122ef5570ec0c8226eb2a90ebaa363f48702b94369ea1
Homepage: https://cran.r-project.org/package=izmir
Description: CRAN Package 'izmir' (R Wrapper for Izmir Municipality Open Data Portal)
 Call the data wrappers for Izmir Metropolitan Municipality's Open Data
 Portal. This will return all datasets formatted as Excel files (.csv or
 .xlsx), as well as datasets that require an API key.

Package: r-cran-jaatha
Architecture: all
Version: 3.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-r6
Suggests: r-cran-boot, r-cran-coala, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jaatha_3.2.5-1.ca2004.1_all.deb
Size: 280172
MD5sum: 88896f5c7eada054da588f7c16e99040
SHA1: af669852ec5796b84faaddbdb6261dbedd12244c
SHA256: bab1ad4e20b175301dc5cf7cebb1e848ed75e688c664fada386a7db491d6bdd6
SHA512: 4b32d38336cc55cca23c6ec0bbf4fc56ec1c69b61b7718685e4662fcd5967a9ab1841354d0f150338ced4ac02e74384bf37fb5250cec49c8ca73ec538484b53e
Homepage: https://cran.r-project.org/package=jaatha
Description: CRAN Package 'jaatha' (Simulation-Based Maximum Likelihood Parameter Estimation)
 An estimation method that can use computer simulations to approximate
 maximum-likelihood estimates even when the likelihood function can not be
 evaluated directly. It can be applied whenever it is feasible to conduct
 many simulations, but works best when the data is approximately Poisson
 distributed.  It was originally designed for demographic inference in
 evolutionary biology (Naduvilezhath et al., 2011
 <doi:10.1111/j.1365-294X.2011.05131.x>, Mathew et al., 2013
 <doi:10.1002/ece3.722>).  It has optional support for conducting coalescent
 simulation using the 'coala' package.

Package: r-cran-jab.adverse.reactions
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-tm, r-cran-stringi, r-cran-bracer, r-cran-mgsub, r-cran-qdapregex, r-cran-stringr, r-cran-data.table, r-cran-xmlconvert, r-cran-jsonlite, r-cran-anytime, r-cran-cffr, r-cran-rbibutils, r-cran-install.load
Filename: pool/dists/focal/main/r-cran-jab.adverse.reactions_1.0.3-1.ca2004.1_all.deb
Size: 35436
MD5sum: d8847c22b549d66ae24ffdc0f4bda853
SHA1: c756871d59489a0d1930ce7beee66c307fb649f9
SHA256: 04a50e487170139a15316633573757c24d2b7521fd542d21f57ae79fbfe00b1e
SHA512: 55a7b7dba02886ff21b7958009274669e2173d8cdb91ee4b4ec7e2dbfb934e80b3d946df1f4704217ad03117d447008b8fb9dda646b3aede03a72ce4fcaba83e
Homepage: https://cran.r-project.org/package=jab.adverse.reactions
Description: CRAN Package 'jab.adverse.reactions' (Possible Adverse Events/Reactions from theVaccinations/Experimental Gene Therapies)
 Provides data about the possible adverse events/reactions resulting from
 being injected with a vaccine/experimental gene therapy.  Currently, this
 data set only includes information from six reference sources. Refer to the
 CITATION.cff file for the complete citations of the reference sources. For
 information about vaccination$/immunization$ hazards, visit
 <https://www.questionuniverse.com/rethink.html#vaccine>,
 <https://www.ecoccs.com/healing.html#vaccines>,
 <https://www.questionuniverse.com/rethink_current_crisis.html#cov_vaccin>,
 and <https://www.questionuniverse.com/vaccination.html>.

Package: r-cran-jackknifekme
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imputeyn
Filename: pool/dists/focal/main/r-cran-jackknifekme_1.2-1.ca2004.1_all.deb
Size: 34284
MD5sum: 92c13ccacbbe80752b4d2908d2b16760
SHA1: 762644bfb81e7005229e2ffbe91f1137ffea8ea6
SHA256: 81e7d9187a50b1cfb7513d0d9b8bf00db43675668b065ab487843c8c23f87682
SHA512: a61c5a097408f95079fec2783b1c655ab0cdd3f3f6dc3efd6bdbe940a1580904f5b8b9193a20960fda399dbaec502d9f68b6f60104edeab2f0ae707144b0a1bd
Homepage: https://cran.r-project.org/package=jackknifeKME
Description: CRAN Package 'jackknifeKME' (Jackknife Estimates of Kaplan-Meier Estimators or Integrals)
 Computing the original and modified jackknife estimates of Kaplan-Meier
 estimators.

Package: r-cran-jackknifer
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dofuture, r-cran-foreach, r-cran-future, r-cran-future.apply
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-jackknifer_2.0.0-1.ca2004.1_all.deb
Size: 34156
MD5sum: ff745378aecd3ef44c5574a04627991b
SHA1: 57564049a8586382d6f87249a254ad66cd6bd328
SHA256: f32e62804a52d14f9f0d425a396995cd823cdfd145654b0d4a17dfd637e8b137
SHA512: f5ec8b430bedf2816239c4ba36b11adc023ac94ef5b024af23a69e26d947da88e8610932333ac332c3e01deaf0a98190a740dbe69e4032c0028662399eaf655e
Homepage: https://cran.r-project.org/package=jackknifeR
Description: CRAN Package 'jackknifeR' (Delete-d Jackknife for Point and Interval Estimation)
 Implements delete-d jackknife resampling for robust statistical estimation.
 The package provides both weighted (HC3-adjusted) and unweighted versions of
 jackknife estimation, with parallel computation support. Suitable for
 biomedical research and other fields requiring robust variance estimation.

Package: r-cran-jackstrap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fbasics, r-cran-benchmarking, r-cran-dplyr, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel, r-cran-reshape, r-cran-tidyr, r-cran-scales, r-cran-plyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jackstrap_0.1.0-1.ca2004.1_all.deb
Size: 118860
MD5sum: 0bd0f9547ea60721f0a65c474edfe14a
SHA1: 3dd63b1bfc1e23c691a342d6206a8e2a08fde97c
SHA256: 95d4d1f2254d6f37847dc1854850223284fc69847571351da8b6d15a9ce1c4bf
SHA512: f35a741724015963727132842dd23b60c2c3c7924c61e1e31dbe1bcc9c76a32c1df6eae0de7501f6503a7217500d8f2f50cfcf668d49634dd696757ab6e20361
Homepage: https://cran.r-project.org/package=jackstrap
Description: CRAN Package 'jackstrap' (Correcting Nonparametric Frontier Measurements for Outliers)
 Provides method used to check whether data have outlier in efficiency
 measurement of big samples with data envelopment analysis (DEA). In this
 jackstrap method, the package provides two criteria to define outliers:
 heaviside and k-s test. The technique was developed by Sousa and Stosic
 (2005) "Technical Efficiency of the Brazilian Municipalities: Correcting
 Nonparametric Frontier Measurements for Outliers."
 <doi:10.1007/s11123-005-4702-4>.

Package: r-cran-jackstraw
Architecture: all
Version: 1.3.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corpcor, r-cran-irlba, r-cran-rsvd, r-cran-clusterr, r-cran-cluster, r-cran-bedmatrix, r-cran-genio
Suggests: r-bioc-qvalue, r-bioc-lfa, r-bioc-gcatest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jackstraw_1.3.17-1.ca2004.1_all.deb
Size: 421232
MD5sum: 618c0276bec7b8f0f1c529c12bab0b71
SHA1: 454b55776496aead8e85894344e7d85eee26ba1e
SHA256: ea03357ea99eb07e7e5a85fadd8af6d76e62244c9c8b14414e7d506f8074b320
SHA512: de99868a7ddf9956d609d8855838d9f3b4d748dc1ca3942ec67d1d60517238d5eff9082bed4bf4470edcf0788d865022780d7fbcd44db9e5627adbb042a80786
Homepage: https://cran.r-project.org/package=jackstraw
Description: CRAN Package 'jackstraw' (Statistical Inference for Unsupervised Learning)
 Test for association between the observed data and their estimated latent
 variables. The jackstraw package provides a resampling strategy and testing
 scheme to estimate statistical significance of association between the
 observed data and their latent variables. Depending on the data type and the
 analysis aim, the latent variables may be estimated by principal component
 analysis (PCA), factor analysis (FA), K-means clustering, and related
 unsupervised learning algorithms. The jackstraw methods learn over-fitting
 characteristics inherent in this circular analysis, where the observed data
 are used to estimate the latent variables and used again to test against
 that estimated latent variables. When latent variables are estimated by PCA,
 the jackstraw enables statistical testing for association between observed
 variables and latent variables, as estimated by low-dimensional principal
 components (PCs). This essentially leads to identifying variables that are
 significantly associated with PCs. Similarly, unsupervised clustering, such
 as K-means clustering, partition around medoids (PAM), and others, finds
 coherent groups in high-dimensional data. The jackstraw estimates
 statistical significance of cluster membership, by testing association
 between data and cluster centers. Clustering membership can be improved by
 using the resulting jackstraw p-values and posterior inclusion probabilities
 (PIPs), with an application to unsupervised evaluation of cell identities in
 single cell RNA-seq (scRNA-seq).

Package: r-cran-jacpop
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jacpop_0.6-1.ca2004.1_all.deb
Size: 14732
MD5sum: 5a0078c44f8202d809b9f79692251fbe
SHA1: a8f064c9d354d0b01699444066f528773d5be2c8
SHA256: 1d5f656de36501a695eeb7cc0286b55307421d2eab0a6172239d5ed27f5700db
SHA512: 36004302fed1953b66e5f66801912fcc1abd2eb99d56f89635366c5a22e4dd115d49556765ec6dffc47ae6e4b218370138c7759902eb45ff91fe550d0200792d
Homepage: https://cran.r-project.org/package=jacpop
Description: CRAN Package 'jacpop' (Jaccard Index for Population Structure Identification)
 Uses the Jaccard similarity index to account for population structure in
 sequencing studies. This method was specifically designed to detect
 population stratification based on rare variants, hence it will be
 especially useful in rare variant analysis.

Package: r-cran-jacquard
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 997
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsolnp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jacquard_1.0.2-1.ca2004.1_all.deb
Size: 923172
MD5sum: ab74e19bf5ee0979f52d93e0dbcb1afb
SHA1: 835811b9bbdc0e61b322177b46cfe4b9e93a55d2
SHA256: 3d18929b0f64eb41e826b58e5cae9984703eb05297ffff271fbd10b17b3583b9
SHA512: 7cdb02a547756e8cc0d19873c0d6e56278fdd84d6a4e359109ae616f17467e1f68e5516d6b9a0391707d16406c1b379469816e2e0beff00375b89793b1b43388
Homepage: https://cran.r-project.org/package=Jacquard
Description: CRAN Package 'Jacquard' (Estimation of Jacquard's Genetic Identity Coefficients)
 Contains procedures to estimate the nine condensed Jacquard genetic identity
 coefficients (Jacquard, 1974) <doi:10.1007/978-3-642-88415-3> by constrained
 least squares (Graffelman et al., 2024) <doi:10.1101/2024.03.25.586682> and
 by the method of moments (Csuros, 2014) <doi:10.1016/j.tpb.2013.11.001>.
 These procedures require previous estimation of the allele frequencies.
 Functions are supplied that estimate relationship parameters that derive
 from the Jacquard coefficients, such as individual inbreeding coefficients
 and kinship coefficients.

Package: r-cran-jadelizardoptions
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-jadelizardoptions_1.0.1-1.ca2004.1_all.deb
Size: 24400
MD5sum: 483c8957eedfa17ffbb46988df4d66ed
SHA1: 99a6800614215b06a501affac0ae6d36fef83a40
SHA256: 753f62a2415c7b863bbd35fbc6abfe02f8b657fb9e43b306a08323fd18f99da8
SHA512: 358fcc4d3d4bc597ef3e87a3b3833dc752233f6d0782d66f0b62baf248036af5953d63f84a4b059daf5c73cf6d3cfe7d10a456a708dc868fca26bcd275a08dc1
Homepage: https://cran.r-project.org/package=jadeLizardOptions
Description: CRAN Package 'jadeLizardOptions' (Trading Jade Lizard Option Strategies)
 Jade Lizard and Reverse Jade Lizard Option Strategies are presented here
 through their Graphs. The graphic indicators, strategies, calculations,
 functions and all the discussions are for academic, research, and
 educational purposes only and should not be construed as investment advice
 and come with absolutely no Liability.  Russell A. Stultz (“The option
 strategy desk reference: an essential reference for option traders (First
 edition.)”, 2019, ISBN: 9781949443912).

Package: r-cran-jage
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-data.table, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jage_0.1.0-1.ca2004.1_all.deb
Size: 63560
MD5sum: bb9053abed4f774948822380cf805c21
SHA1: c6982469b1f2043ea207d016822c23a4afa957c9
SHA256: 3a2aa3cfebb80cc2c2e6efb3df5b1bca76e9b4db4e534e27600be3b8fc81adf7
SHA512: e1e5a60f2e1eb4126e75b3e224a0364f8fe6fa815414222f86eff3f59fdf81d334d277ccb4fa6093319e89ddd15cdce564a09c5df44af0429c9110c280a62fe6
Homepage: https://cran.r-project.org/package=jage
Description: CRAN Package 'jage' (Estimation of Developmental Age)
 Bayesian methods for estimating developmental age from ordinal dental data.
 For an explanation of the model used, see Konigsberg (2015)
 <doi:10.3109/03014460.2015.1045430>. For details on the conditional
 correlation correction, see Sgheiza (2022)
 <doi:10.1016/j.forsciint.2021.111135>. Dental scoring is based on Moorrees,
 Fanning, and Hunt (1963) <doi:10.1177/00220345630420062701>.

Package: r-cran-jaggr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formatr, r-cran-glue
Filename: pool/dists/focal/main/r-cran-jaggr_0.1.1-1.ca2004.1_all.deb
Size: 69760
MD5sum: 9d47f5a5b0ba83084de826c57738e5d0
SHA1: 02eb32a7def6809eed0c66ababd9e6fe36f897d6
SHA256: 6e6420b433c8704e170de90b060de136bd67b6dddf0aa9ce460daf4d41fe3efa
SHA512: 5b330ef8325235ba5292d84d2f327a57daa153dad76b516dd1e3803bcd5d32f69bbc43185d5d88dc0810a9a4c20c9b6a6faca056e0031ca5c3e4a3e26faf47c3
Homepage: https://cran.r-project.org/package=jaggR
Description: CRAN Package 'jaggR' (Supporting Files and Functions for the Book Bayesian Modellingwith 'JAGS')
 All the data and functions used to produce the book. We do not expect most
 people to use the package for any other reason than to get simple access to
 the 'JAGS' model files, the data, and perhaps run some of the simple
 examples.  The authors of the book are David Lucy (now sadly deceased) and
 James Curran. It is anticipated that a manuscript will be provided to Taylor
 and Francis around February 2020, with bibliographic details to follow at
 that point. Until such time, further information can be obtained by emailing
 James Curran.

Package: r-cran-jagshelper
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jagsui, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jagshelper_0.4.1-1.ca2004.1_all.deb
Size: 3862888
MD5sum: 111f5d91aaa1b135896e2b9e6133205d
SHA1: ac209f31bad68bf8fca433213ea8b241c9945a65
SHA256: 093181c760afcb55239db3782553702f7d69e4fe94da3086e5cb9a069f673ffb
SHA512: 8f5dbea2f37888fb73a0481af94a7661e099fe237bc20f25190ecb408d5b9d4c804cd885fc38b2dce7f4379f08151b850bb4731b1323616d1ac9a3d5bc0a2340
Homepage: https://cran.r-project.org/package=jagshelper
Description: CRAN Package 'jagshelper' (Extracting and Visualizing Output from 'jagsUI')
 Tools are provided to streamline Bayesian analyses in 'JAGS' using the
 'jagsUI' package.  Included are functions for extracting output in simpler
 format, functions for streamlining assessment of convergence, and functions
 for producing summary plots of output.  Also included is a function that
 provides a simple template for running 'JAGS' from 'R'.  Referenced
 materials can be found at <DOI:10.1214/ss/1177011136>.

Package: r-cran-jagstargets
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-fst, r-cran-posterior, r-cran-purrr, r-cran-qs2, r-cran-r2jags, r-cran-rjags, r-cran-rlang, r-cran-secretbase, r-cran-targets, r-cran-tarchetypes, r-cran-tibble, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-dplyr, r-cran-fs, r-cran-knitr, r-cran-qs, r-cran-r.utils, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-jagstargets_1.2.2-1.ca2004.1_all.deb
Size: 371156
MD5sum: 95e99f5f2c7812a2deaf355919fa225a
SHA1: 9efb17d7a9c488b9010c949af9830b76d169cc57
SHA256: 3b9237a8d8c3ad57157fe0f6d22406ddd710671b4f680c8ea9f9a3427eb9ccbd
SHA512: 0b113ffdc9e8026fc5c4a32bb632d533dbf6e447c7a6882c58b50a6182f883521a335d7cf3d69dc92dbcb6a742a94b881f243813160731e75e186d622cbbad0c
Homepage: https://cran.r-project.org/package=jagstargets
Description: CRAN Package 'jagstargets' (Targets for JAGS Pipelines)
 Bayesian data analysis usually incurs long runtimes and cumbersome custom
 code.  A pipeline toolkit tailored to Bayesian statisticians, the
 'jagstargets' R package is leverages 'targets' and 'R2jags' to ease this
 burden.  'jagstargets' makes it super easy to set up scalable JAGS pipelines
 that automatically parallelize the computation and skip expensive steps when
 the results are already up to date.  Minimal custom code is required, and
 there is no need to manually configure branching, so usage is much easier
 than 'targets' alone.  For the underlying methodology, please refer to the
 documentation of 'targets' <doi:10.21105/joss.02959> and 'JAGS' (Plummer
 2003)
 <https://www.r-project.org/conferences/DSC-2003/Proceedings/Plummer.pdf>.

Package: r-cran-jagstree
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.tree, r-cran-gtools, r-cran-mcmcplots, r-cran-r2jags, r-cran-tidyverse, r-cran-diagrammer, r-cran-autowmm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jagstree_1.0.1-1.ca2004.1_all.deb
Size: 481156
MD5sum: 100a902e9e20c0840fc081fa239ced6a
SHA1: 26f37eda048a2410f6d441d13b8e4996943a8a92
SHA256: f766689fa2e2275f4ff7599b3350e9ab1c2acceb1594dc7e693c2adc42ef5e29
SHA512: 6ae337221da44dc7db71fa8ee9799d0d9f9d90428f4195c0f33c839e5db3ac7eaee95e6e740bde219b3b62beaa6f21fa75330d85bf83bda305843ccc1397ca6c
Homepage: https://cran.r-project.org/package=JAGStree
Description: CRAN Package 'JAGStree' (Automatically Write 'JAGS' Code for Hierarchical Bayesian Modelson Trees)
 When relationships between sources of data can be represented by a tree, the
 generation of appropriate Markov Chain Monte Carlo modeling code to be used
 with 'JAGS' to run a Bayesian hierarchical model can be automatically
 generated by this package. Any admissible tree-structured data can be used,
 under the assumption that node counts are multinomial and branching
 probabilities are Dirichlet among sibling groups. The methodological basis
 used to create this package can be found in Flynn (2023)
 <http://hdl.handle.net/2429/86174>.

Package: r-cran-jagsui
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1689
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-rjags
Suggests: r-cran-knitr, r-cran-markdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-jagsui_1.6.2-1.ca2004.1_all.deb
Size: 1516980
MD5sum: 0ad44beaf790bbc7ea35a333efc40315
SHA1: 830a7967ce9cd727af61ff702821095fef84a052
SHA256: 051521820bee01d9eb02daf6a4c6128267e2c44c6fd8ee17adb2c593e5006e5a
SHA512: 7948233b79116029e9261b727a9e3c4e685d26e1d3ed639fb731da5921dd18f270573321c2f43eca2d8dbf6670b20084c4522bf623113ce89388ac180b5f4cb2
Homepage: https://cran.r-project.org/package=jagsUI
Description: CRAN Package 'jagsUI' (A Wrapper Around 'rjags' to Streamline 'JAGS' Analyses)
 A set of wrappers around 'rjags' functions to run Bayesian analyses in
 'JAGS' (specifically, via 'libjags').  A single function call can control
 adaptive, burn-in, and sampling MCMC phases, with MCMC chains run in
 sequence or in parallel. Posterior distributions are automatically
 summarized (with the ability to exclude some monitored nodes if desired) and
 functions are available to generate figures based on the posteriors (e.g.,
 predictive check plots, traceplots). Function inputs, argument syntax, and
 output format are nearly identical to the 'R2WinBUGS'/'R2OpenBUGS' packages
 to allow easy switching between MCMC samplers.

Package: r-cran-jalcal
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jalcal_0.3.0-1.ca2004.1_all.deb
Size: 23620
MD5sum: e764976e04600783aa0391b15c424204
SHA1: 49d531d377b71f2a358ded54dc09f9fcd52e42f9
SHA256: 73de034c6375e95867c47310a22703647a5d8dac053409ab968b36f75171ad22
SHA512: eb18a3c64e5e6e24b66c36f942396a3ac585e92190bd6624f87e042ec9448e1344b9f74d21a74b29ef6ee4e8141a11360338e8f60f62f18544bc6e8e0875a121
Homepage: https://cran.r-project.org/package=jalcal
Description: CRAN Package 'jalcal' (Convert Between Jalaali (Persian or Solar Hijri) and GregorianCalendar Dates)
 The Jalaali calendar, also known as the Persian or Solar Hijri calendar, is
 the official calendar of Iran and Afghanistan. It starts on Nowruz, the
 spring equinox, and follows an astronomical system for determining leap
 years. Each year consists of 365 or 366 days, divided into 12 months. This
 package provides functions for converting dates between the Jalaali and
 Gregorian calendars. The conversion calculations are based on the work of
 Kazimierz M. Borkowski (1996) (<doi:10.1007/BF00055188>), who used an
 analytical model of Earth's motion to compute equinoxes from AD 550 to 3800
 and determine leap years based on Tehran time.

Package: r-cran-jamba
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2542
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-rcolorbrewer, r-cran-kernsmooth, r-cran-withr
Suggests: r-cran-crayon, r-cran-farver, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jamba_1.0.4-1.ca2004.1_all.deb
Size: 2068096
MD5sum: 3a3eb7ca44e2afab38d90cad787eab4a
SHA1: ac5c42b50ab6cd463934cb9b34b859b48291661b
SHA256: 8fed802a4fa77464bb4c9a14831e2bd9e4781d9795c3b9647fc0434669ff24a6
SHA512: 3169e1c23639e24d1eed332eeb3f205c01ecaa4c80b7c0b48417f4b2e1d631b74ab88f1fe457f0abc498ea3f1cbdeb3c1588c647315670e0583bf2c4fe76cf04
Homepage: https://cran.r-project.org/package=jamba
Description: CRAN Package 'jamba' (Just Analysis Methods Base)
 Just analysis methods ('jam') base functions focused on bioinformatics.
 Version- and gene-centric alphanumeric sort, unique name and version
 assignment, colorized console and 'HTML' output, color ramp and palette
 manipulation, 'Rmarkdown' cache import, styled 'Excel' worksheet import and
 export, interpolated raster output from smooth scatter and image plots, list
 to delimited vector, efficient list tools.

Package: r-cran-jamendor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-jamendor_0.1.1-1.ca2004.1_all.deb
Size: 130996
MD5sum: 427caf6f8241f5f70d1cfa8d45640808
SHA1: de93d1de038dfd9020a8cb92a68c80790a705408
SHA256: 163bcc59f789497cfbcaea4667623f0465a7706e46e71881705efa204844328d
SHA512: c9ab0184b46778590cf0f4235548a4b94161b8d850fe07750281a19b83a913650efe9db4c96c96be35a77120c2c469a811bd9615d5a91b107be112e3e1e0a887
Homepage: https://cran.r-project.org/package=JamendoR
Description: CRAN Package 'JamendoR' (Access to 'Jamendo' API)
 Provides an interface to 'Jamendo' API <https://developer.jamendo.com/v3.0>.
 Pull audio, features and other information for a given 'Jamendo' user
 (including yourself!) or enter an artist's -, album's -, or track's name and
 retrieve the available information in seconds.

Package: r-cran-janeaustenr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1620
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-janeaustenr_1.0.0-1.ca2004.1_all.deb
Size: 1624752
MD5sum: a082622841f688a57a76d72a9b0f87fd
SHA1: 2a02a8a24d355101332053bdbd3cc8b9960edee7
SHA256: fa9e38bcff67b2e1563227395566b675a5de7d1e17f56ea7a9c0197832f6d3da
SHA512: ff8040366fc65b8725113b6e9b28bd5a8f3b3f8b4f396d35f7fe7e3e41a9af5d9190884a2bb74e6c6971d1371d158122c980018643d4fe498eb105a07fdd129e
Homepage: https://cran.r-project.org/package=janeaustenr
Description: CRAN Package 'janeaustenr' (Jane Austen's Complete Novels)
 Full texts for Jane Austen's 6 completed novels, ready for text analysis.
 These novels are "Sense and Sensibility", "Pride and Prejudice", "Mansfield
 Park", "Emma", "Northanger Abbey", and "Persuasion".

Package: r-cran-janitor
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-hms, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-snakecase, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-dbplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-sf, r-cran-testthat, r-cran-tibble, r-cran-tidygraph
Filename: pool/dists/focal/main/r-cran-janitor_2.2.1-1.ca2004.1_all.deb
Size: 267328
MD5sum: 8d4004ae14b9e3d25c0b06c80f0fda3d
SHA1: 2309420fed8e65c09cc7116323b5708ae6f7c397
SHA256: e40997482874142628f8fdbd3e7c8e315ea54b9add581ab22c685bd8bfba789d
SHA512: ebd719ad02bee11d9e58c4a477b3add3d79c1f33b68ed67ea5211c8c0fb211efacc284aa22448ff14229dd2636cb9c2d965420614112290bb0e9321b7016d03f
Homepage: https://cran.r-project.org/package=janitor
Description: CRAN Package 'janitor' (Simple Tools for Examining and Cleaning Dirty Data)
 The main janitor functions can: perfectly format data.frame column names;
 provide quick counts of variable combinations (i.e., frequency tables and
 crosstabs); and explore duplicate records. Other janitor functions nicely
 format the tabulation results. These tabulate-and-report functions
 approximate popular features of SPSS and Microsoft Excel. This package
 follows the principles of the "tidyverse" and works well with the pipe
 function %>%. janitor was built with beginning-to-intermediate R users in
 mind and is optimized for user-friendliness.

Package: r-cran-janus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-dplyr, r-cran-purrr, r-cran-forcats, r-cran-tictoc, r-cran-readr, r-cran-ggplot2, r-cran-narray, r-cran-lubridate, r-cran-rcppalgos, r-cran-rmpfr, r-cran-metrics, r-cran-statrank, r-cran-hash, r-cran-reticulate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-janus_1.0.0-1.ca2004.1_all.deb
Size: 54760
MD5sum: b5ca727c1718174fec0514730c4c22fb
SHA1: 330ddf4f530a7de37533c46d11786572cb014382
SHA256: cc064177494c4bf7788f171d32796722dc04e59802ca7eec804448ecc2b127b9
SHA512: 3081228609a2e0eb03714881c30ca3eeb31c5db54a8cbacc2a138465732e53019455630db4112e396ee93eb1c495c75d72e57a40089a863d649fe3bbd5e65183
Homepage: https://cran.r-project.org/package=janus
Description: CRAN Package 'janus' (Optimized Recommending System Based on 'tensorflow')
 Proposes a coarse-to-fine optimization of a recommending system based on
 deep-neural networks using 'tensorflow'.

Package: r-cran-jaod
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-crul, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-jaod_0.3.0-1.ca2004.1_all.deb
Size: 25312
MD5sum: 4c6349324765e2b0071a00d99f3effc5
SHA1: 7367cf557e50f0fd9bbd1be9d9cd85467243af58
SHA256: dcba34ac6a7e41c46a58de8a49da839cb6bc7bd218432aec6acc9522b538b61b
SHA512: 80b18cd55d722f9740369543bf0dabd7de43d912083885d65a4504916b075cbe7fd4484272113765ff02ef5f84eb7a52cf2420bff0cbefff7f96ad351475bcec
Homepage: https://cran.r-project.org/package=jaod
Description: CRAN Package 'jaod' (Directory of Open Access Journals Client)
 Client for the Directory of Open Access Journals ('DOAJ')
 (<https://doaj.org/>). API documentation at <https://doaj.org/api/v1/docs>.
 Methods included for working with all 'DOAJ' API routes: fetch article
 information by identifier, search for articles, fetch journal information by
 identifier, and search for journals.

Package: r-cran-japanmesh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-units, r-cran-vctrs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-japanmesh_0.1.1-1.ca2004.1_all.deb
Size: 373464
MD5sum: 1a792980fc67a1383d188d4fa45f5edf
SHA1: af6c7ece1e60f9c963fca3dea6567463fcd9b872
SHA256: dc4586b7a18d8d2856f8a90f91b3037b53cdd503b9cc5c509e74589fc9081467
SHA512: a79e9b1487a7b62e083bbfb21842f93d1ece7781ba8c4aca60a138391fd4c78e35f58e6176e75d9d0376248394ba69d6d443675f8b3d9d6f48586e56f9d0f126
Homepage: https://cran.r-project.org/package=japanmesh
Description: CRAN Package 'japanmesh' (Functions for the Japanese Regional Mesh Codes ('JIS X 0410'))
 Functions for the Japanese regional mesh codes defined in 'JIS X 0410'
 (<https://www.jisc.go.jp/app/jis/general/GnrJISNumberNameSearchList?show&jisStdNo=X0410>).
 Conversion between regional mesh codes and longitude/latitude, and between
 mesh codes of different scales.

Package: r-cran-japanstat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr, r-cran-pillar, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-keyring, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-japanstat_0.1.0-1.ca2004.1_all.deb
Size: 64996
MD5sum: 2529ae89a8e1e35ec35fd655d113052d
SHA1: 323df77310a82e346458cc785ebd46e50d638576
SHA256: f174ae2a6242ab049138fdefcae38b9d39d51d196f91cbe196c8afe9bad3a791
SHA512: a937b770d6265dca7f915cc1d5e651fc75e7215b6cfd68849037a0dda94ab651f1523fcb233ef39564476c355436eb0da4668b1ce97cf4da4db9dcbf08c1ea20
Homepage: https://cran.r-project.org/package=japanstat
Description: CRAN Package 'japanstat' (Tools for Easy Use of 'e-Stat' API)
 Provides tools for using the API of 'e-Stat' (<https://www.e-stat.go.jp/>),
 a portal site for Japanese government statistics.  Includes functions for
 automatic query generation, data collection and formatting.

Package: r-cran-jarbes
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rjags, r-cran-r2jags, r-cran-ggplot2, r-cran-ggextra, r-cran-mass, r-cran-gridextra, r-cran-bookdown, r-cran-tidyr, r-cran-kableextra, r-cran-ggally, r-cran-qpdf, r-cran-bayesplot
Filename: pool/dists/focal/main/r-cran-jarbes_2.3.0-1.ca2004.1_all.deb
Size: 410432
MD5sum: c80f75bacd961286ffc2ce94b49df674
SHA1: 8122beeef6a0c932655538a4bb85bfa684809cfb
SHA256: e9014852b33f548c2460054cdf0e45998e42fc4d817b3985922b7fef4890a52d
SHA512: c65307d6b985e33c6a12bb898784214ba2f974fc9241e78059b5790b933b2674e572d5d0f913a2e7160bb3dd0381bb942e131729506909c5601409b92daa299e
Homepage: https://cran.r-project.org/package=jarbes
Description: CRAN Package 'jarbes' (Just a Rather Bayesian Evidence Synthesis)
 Provides a new class of Bayesian meta-analysis models that incorporates a
 model for internal and external validity bias. In this way, it is possible
 to combine studies of diverse quality and different types. For example, we
 can combine the results of randomized control trials (RCTs) with the results
 of observational studies (OS).

Package: r-cran-jatsdecoder
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlp, r-cran-opennlp
Filename: pool/dists/focal/main/r-cran-jatsdecoder_1.2.0-1.ca2004.1_all.deb
Size: 573200
MD5sum: 0829f5801e36c9e590bb59d07eb96d2d
SHA1: e050228079945b087ba5f6121b588232a9fba47f
SHA256: b09c65bb3584cd4e5ba17eba15791d77e8d08d7323ed923b5d0fe6a4dd999ede
SHA512: ccfcd4f2df8e33894c09d17da084418311e918e23bc7928187461092514b14d5857267634980107d8c402ddfe05d2526d3fa2f3cc389ef43a85139292b5cdfd2
Homepage: https://cran.r-project.org/package=JATSdecoder
Description: CRAN Package 'JATSdecoder' (A Metadata and Text Extraction and Manipulation Tool Set)
 Provides a function collection to extract metadata, sectioned text and study
 characteristics from scientific articles in 'NISO-JATS' format. Articles in
 PDF format can be converted to 'NISO-JATS' with the 'Content ExtRactor and
 MINEr' ('CERMINE', <https://github.com/CeON/CERMINE>). For convenience, two
 functions bundle the extraction heuristics: JATSdecoder() converts
 'NISO-JATS'-tagged XML files to a structured list with elements title,
 author, journal, history, 'DOI', abstract, sectioned text and reference
 list. study.character() extracts multiple study characteristics like number
 of included studies, statistical methods used, alpha error, power,
 statistical results, correction method for multiple testing, software used.
 An estimation of the involved sample size is performed based on reports
 within the abstract and the reported degrees of freedom within statistical
 results. In addition, the package contains some useful functions to process
 text (text2sentences(), text2num(), ngram(), strsplit2(), grep2()). See
 Böschen, I. (2021) <doi:10.1007/s11192-021-04162-z> Böschen, I. (2021)
 <doi:10.1038/s41598-021-98782-3> and Böschen, I (2023)
 <doi:10.1038/s41598-022-27085-y>.

Package: r-cran-javateak
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-javateak_1.0-1.ca2004.1_all.deb
Size: 16732
MD5sum: f6be237fbfed226d14f2836e8c3c92d6
SHA1: e79ef5c48ce641873ee41e030e015e5ebe740e5d
SHA256: 4ebfbb5cb3e3b7649472f14bdd8c6fc0318ef3595ee5bb6c45f1ebc86cba4d4b
SHA512: ecfec38352b8516cdaf7289de960328f91be8d41065dffb124834047e473dfa29877af34714b726c042cf0bd111a3a7c272227e023c56335a4a536fc4bd3d5a7
Homepage: https://cran.r-project.org/package=javateak
Description: CRAN Package 'javateak' (Javanese Teak Above Ground Biomass Estimation)
 Simplifies the process of estimating above ground biomass components for
 teak trees using a few basic inputs, based on the equations taken from the
 journal "Allometric equations for estimating above ground biomass and leaf
 area of planted teak (Tectona grandis) forests under agroforestry management
 in East Java, Indonesia" (Purwanto & Shiba, 2006)
 <doi:10.60409/forestresearch.76.0_1>. This function is most reliable when
 applied to trees from the same region where the equations were developed,
 specifically East Java, Indonesia. This function help to estimate the stem
 diameter at the lowest major living branch (DB) using the stem diameter at
 breast height with R^2 = 0.969. Estimate the branch dry weight (WB) using
 the stem diameter at breast height and tree height (R^2 = 0.979). Estimate
 the stem weight (WS) using the stem diameter at breast height and tree
 height (R^2 = 0.997. Also estimate the leaf dry weight (WL) using the stem
 diameter at the lowest major living branch (R^2 = 0.996).

Package: r-cran-jaya
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-evaluate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jaya_1.0.3-1.ca2004.1_all.deb
Size: 61604
MD5sum: 2a4b8f59b48cdd7a26c91cc886843732
SHA1: 3f7508762c0c684c3d16c5ebed7e81b54009485b
SHA256: 96c0975423abc37c4a263b62847bc84d15fdd9a0e4a5d64aa20f5229716e548e
SHA512: ccac7443a137047ec0ca295033b7342f0c4b300d4d285898b5c5b9b2e16c353bc8f378bbb26d31c546773f963f6ab6ab23aff813cc865546754b0a29e90a598b
Homepage: https://cran.r-project.org/package=Jaya
Description: CRAN Package 'Jaya' (Gradient-Free Optimization Algorithm for Single andMulti-Objective Problems)
 An implementation of the Jaya optimization algorithm for both
 single-objective and multi-objective problems. Jaya is a population-based,
 gradient-free optimization algorithm capable of solving constrained and
 unconstrained optimization problems without hyperparameters. This package
 includes features such as multi-objective Pareto optimization, adaptive
 population adjustment, and early stopping. For further details, see R.V. Rao
 (2016) <doi:10.5267/j.ijiec.2015.8.004>.

Package: r-cran-jbrowser
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6220
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-reactr, r-cran-stringr, r-cran-magrittr, r-cran-readr, r-cran-jsonlite, r-cran-httpuv, r-cran-mime, r-cran-cli, r-cran-ids, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jbrowser_0.10.2-1.ca2004.1_all.deb
Size: 992696
MD5sum: 0fd9df57a0e3756c914a4f5b76b3a7cc
SHA1: 2d418f842167c22b6ff656781919fa171084dc75
SHA256: 4fb878ac7aff1ca736e05092c695c657997583cf437139d819c2472e65ca57e6
SHA512: bb1f0968d3fc8a82f7d0ce4a7ac3bf21033349e7b317e292767287d101953a6273b3534c434c3f3ad1bd1d983e6d49727c4504957ba5f0ecd2c342a98308bb80
Homepage: https://cran.r-project.org/package=JBrowseR
Description: CRAN Package 'JBrowseR' (An R Interface to the JBrowse 2 Genome Browser)
 Provides an R interface to the JBrowse 2 genome browser.  Enables embedding
 a JB2 genome browser in a Shiny app or R Markdown document. The browser can
 also be launched from an interactive R console.  The browser can be loaded
 with a variety of common genomics data types, and can be used with a custom
 theme.

Package: r-cran-jcalendar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jcalendar_0.1.0-1.ca2004.1_all.deb
Size: 157820
MD5sum: 405e11c50cd0145765f7b8ba823309e2
SHA1: 28590312d15780033161ca2cabd60676d66b6634
SHA256: 59b313b68e7c2f84b2e1e13a5c33d7e3bf84fe98a8c59e715245d485a39cd304
SHA512: e2da576685911ba9e1fd8fab531bb2deb60819af6cf3eb19a3b0afdde690cf2e963a6b75e91b3cd21288dc0e2357b754fd729e776c81468379483a4951cc19a0
Homepage: https://cran.r-project.org/package=jcalendaR
Description: CRAN Package 'jcalendaR' (Interconversion Between the Japanese Calendar System and theWestern Calendar)
 This is a set of simple utility functions to perform mutual conversion
 between the current Japanese calendar system that Wareki, the old Japanese
 calendar system that the Kyureki calendar and the Julian and Gregorian
 calendar.  To calculate each calendar method, it converts to the Julian Day
 Number.

Package: r-cran-jcext
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rcolorbrewer, r-cran-maps, r-cran-rworldmap, r-cran-ggplot2, r-cran-sp
Suggests: r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-jcext_0.1.1-1.ca2004.1_all.deb
Size: 2250696
MD5sum: 58b2c55da86979a3aedabe87a47703f0
SHA1: 5b4c130f6a40bf0c37e25b998a86c3f38bb35a18
SHA256: 6984c0d1e25ab5b7e05b30587f8e86435160236b87536ec0aa42b10bd5640aa7
SHA512: a74974b21764ca6ced97a621f83a8763e60aaedc53bc41cf7c8708298055973e0f7a5b93c3b55bc32cc1ba9c2776040a417dcf423492a9c5d816053be8237405
Homepage: https://cran.r-project.org/package=jcext
Description: CRAN Package 'jcext' (Extended Classification of Weather Types)
 Provides a gridded classification of weather types by applying the Jenkinson
 and Collison classification. For a given region (it can be either local
 region or the whole map),it computes at each grid the 11 weather types
 during the period considered for the analysis. See Otero et al., (2017)
 <doi:10.1007/s00382-017-3705-y> for more information.

Package: r-cran-jcolors
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 991
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-scales, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-jcolors_0.0.5-1.ca2004.1_all.deb
Size: 667344
MD5sum: 94a21adfd6fcc712f315b0b22d7dffce
SHA1: e68930667d0c7337083d3672b42aaabe9ba9d5f2
SHA256: 463232e29506a094ceb42183909fe4af7530e1ea2ed688356b45dbebc8ccb221
SHA512: 98defd8df4a3b47cbefcec71d238647602dad2345ac0f2f5665c49f2863a92d3d12541b171d47a22464a63c584db17660f9d70d05b2c8ea5ac253228cf545b00
Homepage: https://cran.r-project.org/package=jcolors
Description: CRAN Package 'jcolors' (Colors Palettes for R and 'ggplot2', Additional Themes for'ggplot2')
 Contains a selection of color palettes and 'ggplot2' themes designed by the
 package author.

Package: r-cran-jcp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jcp_1.2-1.ca2004.1_all.deb
Size: 48168
MD5sum: cf4018b93f8d4b7286c9c7ebe290c3c8
SHA1: c6c8f73c215035dd79227da107e4b90caec23573
SHA256: 1c40b0946caa25b2fb0ec08c65aaa1bd09f5d01f300a9fe5938b2f169fa51b10
SHA512: 6c7f9b72005c6eba9f97bd80a10aaf1e4abb132f1152c651572940bf4f9f573e474a43ec7d28b7a226259da003312378f39f206348162833d5ce22ec6763f125
Homepage: https://cran.r-project.org/package=jcp
Description: CRAN Package 'jcp' (Joint Change Point Detection)
 Procedures for joint detection of changes in both expectation and variance
 in univariate sequences. Performs a statistical test of the null hypothesis
 of the absence of change points. In case of rejection performs an algorithm
 for change point detection. Reference - Bivariate change point detection -
 joint detection of changes in expectation and variance, Scandinavian Journal
 of Statistics, DOI 10.1111/sjos.12547.

Package: r-cran-jcrimpactfactor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-jcrimpactfactor_1.0.0-1.ca2004.1_all.deb
Size: 487952
MD5sum: 396f690815b70d02e9c674032bb411da
SHA1: c96a0e2249a4f7bfa809287b324bd4bfb40f4ab4
SHA256: 698149a9d886df64bbd81d8674699dffcc7eb661ba8b0ba54fbf5569a2eea000
SHA512: 711312fbddb98a6454a524977e289e07562952b33ddb4ee39fd8740548aa08603d14a0880c01faedeb164ce0ef2333d6f775d08e548e5556e4e4ccb84e4a53e7
Homepage: https://cran.r-project.org/package=JCRImpactFactor
Description: CRAN Package 'JCRImpactFactor' (Journal Citation Reports ('JCR') Impact Factor by 'Clarivate''Analytics')
 The Impact Factor of a journal reported by Journal Citation Reports ('JCR')
 of 'Clarivate' 'Analytics' is provided. The impact factor is available for
 those journals only that were included Journal Citation Reports 'JCR'.

Package: r-cran-jcvrisk
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jcvrisk_0.1.2-1.ca2004.1_all.deb
Size: 45580
MD5sum: b1ae042b74801d34e8daedc7a73aa69b
SHA1: c0af2afa7090b9967d9d7472e88511c701b8c7d9
SHA256: 6df812a9a3b014b51c4f1f7d521fce2fcaaa894f9f4223bddc1389a890663a9d
SHA512: 58fd6d3dc6c192a39d59417e22dd3d0d2dd39648c6bd53d556bc383c1d0d2450cb4491776a7c2a8cd2dfdaacb84a6b74e95a84abb174347749537a9744bf3854
Homepage: https://cran.r-project.org/package=Jcvrisk
Description: CRAN Package 'Jcvrisk' (Risk Calculator for Cardiovascular Disease in Japan)
 A calculation tool to obtain the 10-year risk of cardiovascular disease from
 various risk models (Hisayama, Suita, EPOCH Japan).

Package: r-cran-jdcruncher
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6311
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jdcruncher_0.3.5-1.ca2004.1_all.deb
Size: 1812140
MD5sum: 1ffcc647c9237b95e3e7b937ea70adda
SHA1: 1c274a2411700ea66fa3293f8e63cf29f9f00cf9
SHA256: 3722e113a1c3890222c05beba1a8b7f37d50214ef898027c1533e32ae866db0e
SHA512: 20015bfa4612b9fa8f09667f51dbf06665ebc1cb88db0f173d61a481affacbd77bb4ca985d1dbc8b851946a8f49e7248eeb096fedf4a357d529d8788830c7985
Homepage: https://cran.r-project.org/package=JDCruncheR
Description: CRAN Package 'JDCruncheR' (Interface Between the 'JDemetra+' Cruncher and R, and QualityReport Generator)
 Tool for generating quality reports from cruncher outputs (and calculating
 series scores). The latest version of the cruncher can be downloaded here:
 <https://github.com/jdemetra/jwsacruncher/releases>.

Package: r-cran-jdenticon
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fs, r-cran-processx, r-cran-yesno, r-cran-magick, r-cran-glue, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jdenticon_0.1.1-1.ca2004.1_all.deb
Size: 30880
MD5sum: 42dd9e787165f02e93ff9ff9b4c27b70
SHA1: b4092101b589007951c43496df9ab2780eec64e8
SHA256: 13a40ead27857e67c9a2f63876e7f6aa56dc12f3539315932a11e74f9c747340
SHA512: 947e5e0a44671cb353b65e04a6b7b363e4dc2965d11481c0353dcbc00e75ca295a2012c00a230c3083972e77bbe46b882dd103ebff92dda1bc7400c9a144071e
Homepage: https://cran.r-project.org/package=jdenticon
Description: CRAN Package 'jdenticon' (A Wrapper for the Node.js 'Jdenticon' Library)
 A Wrapper for the Node.js 'Jdenticon' <https://jdenticon.com/> Library. Uses
 'esbuild' <https://esbuild.github.io/> to reduce user dependencies.

Package: r-cran-jdmbs
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-png, r-cran-ggplot2
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-jdmbs_1.4-1.ca2004.1_all.deb
Size: 142444
MD5sum: 2f54784eba0bcedfe56b655d39ef4d22
SHA1: df403844d8bc6abb0e68e08503455f7f9c79f2d1
SHA256: 60d852938b649c3731738d73cf75440b04ed923af58e0795b6d11ae979468db1
SHA512: 91e7a7e136234183d35005167265a39742cbe19eb701fd282b32e9f2f4d581cc9e67156b43c28e6b641ebdaba71f33517d069fbf43f762e10e3ea7c93b438607
Homepage: https://cran.r-project.org/package=Jdmbs
Description: CRAN Package 'Jdmbs' (Monte Carlo Option Pricing Algorithms for Jump Diffusion Modelswith Correlational Companies)
 Option is a one of the financial derivatives and its pricing is an important
 problem in practice. The process of stock prices are represented as
 Geometric Brownian motion [Black (1973) <doi:10.1086/260062>] or jump
 diffusion processes [Kou (2002) <doi:10.1287/mnsc.48.8.1086.166>]. In this
 package, algorithms and visualizations are implemented by Monte Carlo method
 in order to calculate European option price for three equations by Geometric
 Brownian motion and jump diffusion processes and furthermore a model that
 presents jumps among companies affect each other.

Package: r-cran-jds.rmd
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bookdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jds.rmd_0.3.3-1.ca2004.1_all.deb
Size: 45180
MD5sum: fa4392c6a781dac17d355f869d7325e6
SHA1: b01b850172e168a3a8e78a9f4741b0a156b92e66
SHA256: a9d5e58919bd876f682927867a176f9096c6a240e9a8f81f855927369ab7bf95
SHA512: 6fa4d32ba9ae2e3f07be3dc4d25e0d7bd68f2921784d1684b28b9fa52a1bd661e2b545dc310de6d811218a41eb4561151516ff9e3c83a4ec9e0181189bdf6867
Homepage: https://cran.r-project.org/package=jds.rmd
Description: CRAN Package 'jds.rmd' (R Markdown Templates for Journal of Data Science)
 Customized R Markdown templates for authoring articles for Journal of Data
 Science.

Package: r-cran-jeek
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-pcapp, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-jeek_1.1.1-1.ca2004.1_all.deb
Size: 444244
MD5sum: ee60c86f5099160cd6f309ae149f4250
SHA1: cd169035140cb1c8b371dd70b6fba0ebf572489b
SHA256: f38a9708b3247f9fe01e6b40031bf6f60d780e6ca519f5c0263781030bab24c0
SHA512: bd77aedbf65d6bdd5f36cb16968ccfbd67d302ac695df6e428b9e31c6d0adf4c201bbf987050d04bfdfb61ef161bf79baed19015633f9c5a745c80b4c596d919
Homepage: https://cran.r-project.org/package=jeek
Description: CRAN Package 'jeek' (A Fast and Scalable Joint Estimator for Integrating AdditionalKnowledge in Learning Multiple Related Sparse GaussianGraphical Models)
 Provides a fast and scalable joint estimator for integrating additional
 knowledge in learning multiple related sparse Gaussian Graphical Models
 (JEEK). The JEEK algorithm can be used to fast estimate multiple related
 precision matrices in a large-scale. For instance, it can identify multiple
 gene networks from multi-context gene expression datasets. By performing
 data-driven network inference from high-dimensional and heterogeneous data
 sets, this tool can help users effectively translate aggregated data into
 knowledge that take the form of graphs among entities. Please run demo(jeek)
 to learn the basic functions provided by this package. For further details,
 please read the original paper: Beilun Wang, Arshdeep Sekhon, Yanjun Qi "A
 Fast and Scalable Joint Estimator for Integrating Additional Knowledge in
 Learning Multiple Related Sparse Gaussian Graphical Models" (ICML 2018)
 <arXiv:1806.00548>.

Package: r-cran-jellyfisher
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1643
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jellyfisher_1.0.4-1.ca2004.1_all.deb
Size: 315232
MD5sum: d879958efa5a76024820c73c6351e638
SHA1: 1897ad635a1625a1d2f396694b32805cb1112074
SHA256: 444589aea2b7affb4a213847cb36bcd8129dfe83cb9fa671828d54bd08a0e13f
SHA512: 69a31fdff10f8db608fb2414f18224c76cfd37cf46818f7de69fd72ebfed7e0e1dc0545f1fccc2defeb5a4f19100932531d70b71a1c33b4977916d35452fc199
Homepage: https://cran.r-project.org/package=jellyfisher
Description: CRAN Package 'jellyfisher' (Visualize Spatiotemporal Tumor Evolution with Jellyfish Plots)
 Generates interactive Jellyfish plots to visualize spatiotemporal tumor
 evolution by integrating sample and phylogenetic trees into a unified plot.
 This approach provides an intuitive way to analyze tumor heterogeneity and
 evolution over time and across anatomical locations. The Jellyfish plot
 visualization design was first introduced by Lahtinen, Lavikka, et al.
 (2023, <doi:10.1016/j.ccell.2023.04.017>).  This package also supports
 visualizing ClonEvol results, a tool developed by Dang, et al. (2017,
 <doi:10.1093/annonc/mdx517>), for analyzing clonal evolution from
 multi-sample sequencing data. The 'clonevol' package is not available on
 CRAN but can be installed from its GitHub repository
 (<https://github.com/hdng/clonevol>).

Package: r-cran-jenga
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-abind, r-cran-ggplot2, r-cran-readr, r-cran-lubridate, r-cran-narray, r-cran-imputets, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-philentropy, r-cran-greybox, r-cran-rfast, r-cran-dplyr, r-cran-fastdummies, r-cran-fancova, r-cran-entropy
Filename: pool/dists/focal/main/r-cran-jenga_1.3.0-1.ca2004.1_all.deb
Size: 68572
MD5sum: 9cf48f17bf66092fc9e688851b782a84
SHA1: fc860e7b4f99563e5f53144f8e964a83c986daf7
SHA256: 745c40b93ce835595678f83915962728f09ed5ec47c66206393c8842948ab551
SHA512: 996e7ad7247d70b8595eeec7196ccaedd378a204530a8de05beb713bbb95ef903b1f36158073b18dbf0b9e0047ed1923d0b7928eee169039226ea82b8f9e3311
Homepage: https://cran.r-project.org/package=jenga
Description: CRAN Package 'jenga' (Fast Extrapolation of Time Features using K-Nearest Neighbors)
 Fast extrapolation of univariate and multivariate time features using
 K-Nearest Neighbors. The compact set of hyper-parameters is tuned via grid
 or random search.

Package: r-cran-jetpack
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-renv, r-cran-remotes, r-cran-desc, r-cran-docopt
Suggests: r-cran-testthat, r-cran-withr, r-cran-packrat
Filename: pool/dists/focal/main/r-cran-jetpack_0.5.5-1.ca2004.1_all.deb
Size: 67536
MD5sum: 4cdf598dda20b236dc7723dd371d4e35
SHA1: bd9e196d0e624d111fe62406ea62037373fb7dc7
SHA256: 474dd6b6c56931181481112221c7f6ecc7cde815c063aafc38189f19ac57a7e2
SHA512: 980d2431ef2a8253ed3400dfa643eec987b88cfcea557533224dd0af663000d4dafe8f76c886f75c80e1a2dc84e686ed2999c3b6a3ca1deb49da13480f55a23c
Homepage: https://cran.r-project.org/package=jetpack
Description: CRAN Package 'jetpack' (A Friendly Package Manager)
 Manage project dependencies from your DESCRIPTION file. Create a
 reproducible virtual environment with minimal additional files in your
 project. Provides tools to add, remove, and update dependencies as well as
 install existing dependencies with a single function.

Package: r-cran-jetset
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1568
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-org.hs.eg.db, r-bioc-annotationdbi
Filename: pool/dists/focal/main/r-cran-jetset_3.4.0-1.ca2004.1_all.deb
Size: 1543328
MD5sum: 253ba662eebcd7aed927c3f159921afe
SHA1: 1e00075cad64026fb6a9735165be4c9c4283cdd2
SHA256: 044671bd5b21de8d3bd31fed367b11c6771ba92b644fa2fb0e567b8033804457
SHA512: 1282bc899cbf269a991c09c6068d737d3484cbca867712fe9f7181e475dfbb91afe14bb1c738f85c5c6962cca500398224a4c053ab6c8435e1536a2c74588bd1
Homepage: https://cran.r-project.org/package=jetset
Description: CRAN Package 'jetset' (One-to-One Gene-Probeset Mapping for Affymetrix HumanMicroarrays)
 On Affymetrix gene expression microarrays, a single gene may be measured by
 multiple probe sets. This can present a mild conundrum when attempting to
 evaluate a gene "signature" that is defined by gene names rather than by
 specific probe sets. This package provides a one-to-one mapping from gene to
 "best" probe set for four Affymetrix human gene expression microarrays:
 hgu95av2, hgu133a, hgu133plus2, and u133x3p. This package also includes the
 pre-calculated probe set quality scores that were used to define the
 mapping.

Package: r-cran-jetty
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-renv, r-cran-rlang
Suggests: r-cran-here, r-cran-matrix, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jetty_0.2.1-1.ca2004.1_all.deb
Size: 532172
MD5sum: f5973a6c739cd5aad9756f0c15e905b9
SHA1: 7d369ba3a4bdadfd6d28058e435a3e71543f0b6c
SHA256: 656f624116281d5eeb9bfdfcc3ab6a1275cca896a0f62c5c5d9a2bcdc7dbf25b
SHA512: 0a3b8df45abf6ba72ea08c27cf201bc5fa48c8d6628e649517633ca01c813ac49ba711574860af8bd46d27d5fd797957cbdc44284d8a49281a5734068078fcc5
Homepage: https://cran.r-project.org/package=jetty
Description: CRAN Package 'jetty' (Execute R in a 'Docker' Context)
 The goal of 'jetty' is to execute R functions and code snippets in an
 isolated R subprocess within a 'Docker' container and return the evaluated
 results to the local R session. 'jetty' can install necessary packages at
 runtime and seamlessly propagates errors and outputs from the 'Docker'
 subprocess back to the main session. 'jetty' is primarily designed for
 sandboxed testing and quick execution of example code.

Package: r-cran-jewel
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-mass, r-cran-smut, r-cran-igraph, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jewel_2.0.2-1.ca2004.1_all.deb
Size: 62900
MD5sum: 34eb7ffcc047a8d7ee99785d340d360b
SHA1: 5e537932bd648814aa86fb674f033ebc0bfaa3c1
SHA256: 10fedb3683fa91c8ea1aa40c35664b6292259dd5815ab3e54fb4855cb3a2bd96
SHA512: 14a5b527e5983eb1b5f0ceba39afe8d9839d4e7e1e36ebd00b326a3cf1bb33a0376488fa5709f496cb3c34fc512966cc7d0e90b786456dcf58c961996b304b1d
Homepage: https://cran.r-project.org/package=jewel
Description: CRAN Package 'jewel' (Graphical Models Estimation from Multiple Sources)
 Estimates networks of conditional dependencies (Gaussian graphical models)
 from multiple classes of data (similar but not exactly, i.e. measurements on
 different equipment, in different locations or for various sub-types).
 Package also allows to generate simulation data and evaluate the
 performance. Implementation of the method described in Angelini, De
 Canditiis and Plaksienko (2022) <doi:10.3390/math10213983>.

Package: r-cran-jfe
Architecture: all
Version: 2.5.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xts
Suggests: r-cran-car, r-cran-dynlm, r-cran-openxlsx, r-cran-timedate, r-cran-timeseries, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-jfe_2.5.11-1.ca2004.1_all.deb
Size: 762588
MD5sum: ec8795bcee697396a1b135e3925ce9dd
SHA1: 94d58d8126a75a348b59510e7a1bb1c602f116a3
SHA256: 6eaffb67ae7d869ec9704caad6edcf3e89df422a4a7bb8e99615dc4a75b586ca
SHA512: 1cb5f49374e52f61dc12a2229bcd498e9bc9ebf2c51b4eb039657cfa834f95d8b69778f2c407939aa62379388bf7a63aff384a602dc964f2f1cbd18fef72ecbb
Homepage: https://cran.r-project.org/package=JFE
Description: CRAN Package 'JFE' (Tools for Analyzing Time Series Data of Just Finance andEconometrics)
 Offer procedures to download financial-economic time series data and
 enhanced procedures for computing the investment performance indices of
 Bacon (2004) <DOI:10.1002/9781119206309>.

Package: r-cran-jgcricolors
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-stringr, r-cran-markdown
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-jgcricolors_1.0.0-1.ca2004.1_all.deb
Size: 295864
MD5sum: b791f81edc1c6ee2f2dd50bffdbae9ea
SHA1: 88e3c6a35d141613b0d25c5457f12477efb44deb
SHA256: 5cac38df32b43358a897aa1633a7b8804d511f176b25cbeb30c2da55f8318e94
SHA512: 81ed302c47ecbe7a40279f04160d6345003c20b79c607c1a7fa65b3d853963bda31561f3c685efc2a234e284d2fcd32d9c145320e2eb62572219a77d3e290a79
Homepage: https://cran.r-project.org/package=jgcricolors
Description: CRAN Package 'jgcricolors' (Manage 'JGCRI' Color Palettes)
 Color palettes used by the Pacific Northwest National Laboratory - Joint
 Global Change Research Institute for maps and charts.

Package: r-cran-jgee
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-mass
Filename: pool/dists/focal/main/r-cran-jgee_1.1-1.ca2004.1_all.deb
Size: 99080
MD5sum: 00504bf085d99a3afd4cc8d833250ebd
SHA1: 043396b2366d3a29ef4ddf531ec74f7883cbd885
SHA256: 86e82083d383a10b8fcbaf2de0a8f4411adee7214c0cacd6ff93edd564724569
SHA512: 5e7b99ae6d2dd2e55440fa13b0cc27668e2c8104d5b3e7d24eb1c55229d6b76c9be306717da4098e51346d0163af98c648cd6fa701f7a89975202f93da3f4b57
Homepage: https://cran.r-project.org/package=JGEE
Description: CRAN Package 'JGEE' (Joint Generalized Estimating Equation Solver)
 Fits two different joint generalized estimating equation models to
 multivariate longitudinal data.

Package: r-cran-jgl
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-jgl_2.3.2-1.ca2004.1_all.deb
Size: 396668
MD5sum: 1c97fcbbb17d06ea30ed09a32c555ecf
SHA1: ba9336b89048224bab351466b5ef396b51cb60ca
SHA256: 5ce617169ab65b38d1580f026add5be8a4deb97845a5c3a78fb29485cb1f107e
SHA512: 3e2fca55018badefcea1e38908faedc7c2a43641460056956852e2459c60b3f89f181371f481460491ed2363949041d5b8635f404da84d57b4fc131bf79e05d5
Homepage: https://cran.r-project.org/package=JGL
Description: CRAN Package 'JGL' (Performs the Joint Graphical Lasso for Sparse Inverse CovarianceEstimation on Multiple Classes)
 The Joint Graphical Lasso is a generalized method for estimating Gaussian
 graphical models/ sparse inverse covariance matrices/ biological networks on
 multiple classes of data.  We solve JGL under two penalty functions: The
 Fused Graphical Lasso (FGL), which employs a fused penalty to encourage
 inverse covariance matrices to be similar across classes, and the Group
 Graphical Lasso (GGL), which encourages similar network structure between
 classes.  FGL is recommended over GGL for most applications. Reference:
 Danaher P, Wang P, Witten DM. (2013) <doi:10.1111/rssb.12033>.

Package: r-cran-jgr
Architecture: all
Version: 1.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1291
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjava, r-cran-javagd
Suggests: r-cran-xlconnect
Filename: pool/dists/focal/main/r-cran-jgr_1.9-2-1.ca2004.1_all.deb
Size: 1123284
MD5sum: 1d4cd2611556502b5ed97498368960c6
SHA1: 7c8a2c6a55a84b3acb665a88fe75ea5791a12385
SHA256: 4bc755fa7b27643e0043be99c22483e8531256001e9f1f194369f38d269182c9
SHA512: dc6570e914948312c7d813c473141a7a0d761ac099d305b183fc7dee90fd059b333924679fbae7a689a56d5fee8838c20817f99dc46b8f286c43e25291751e9b
Homepage: https://cran.r-project.org/package=JGR
Description: CRAN Package 'JGR' (Java GUI for R)
 Java GUI for R - cross-platform, universal and unified Graphical User
 Interface for R. For full functionality on Windows and Mac OS X JGR requires
 a start application which depends on your OS.

Package: r-cran-jgsbook
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statip, r-cran-jsonlite, r-cran-httr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-jgsbook_1.0.7-1.ca2004.1_all.deb
Size: 124668
MD5sum: 7e05369935797638df38bb715a294bc4
SHA1: 7a93bc16ef8ec810a30fcbab1aac1d0ada6527fe
SHA256: 7db44f7beefba44f03df6be0c9699ead7c1e7f731e7ce01082c7bf024210d97e
SHA512: a292dcc5e6e028b2296683feecd9ac7d42d2129acd0963dbd3bd21b0453d775d1c88d1fb6ee5c23661a5bc31d67a1b2557a70b09a8657b90319974321eee35f0
Homepage: https://cran.r-project.org/package=jgsbook
Description: CRAN Package 'jgsbook' (Package of the German Book "Statistik mit R und RStudio" byJoerg grosse Schlarmann)
 All datasets and functions used in the german book "Statistik mit R und
 RStudio" by grosse Schlarmann (2010-2024) <https://www.produnis.de/R/>.

Package: r-cran-jico
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nleqslv, r-cran-matrix, r-cran-mass, r-cran-rlist
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jico_0.1-1.ca2004.1_all.deb
Size: 56332
MD5sum: 37ee8c8b909a26fdd8784b2856b06a2e
SHA1: ca3b6474af5482c5e9129176301776953435c7d1
SHA256: 906b181c5af784fe7fd8e7f72a11e5238f2ae5d9f9eb8bdd69d95bf923aa8294
SHA512: 75fe23e35d2ce809ef81e7a4cf20bc609f89939b38e1f1a4b82deae6d82cedc0a2631de28170ba437e6fe8826eec7b2713ebeb3aca22aa91cb97e9f3c70bb012
Homepage: https://cran.r-project.org/package=JICO
Description: CRAN Package 'JICO' (Joint and Individual Regression)
 An R package that implements the JICO algorithm [Wang, P., Wang, H., Li, Q.,
 Shen, D., & Liu, Y. (2024). <Journal of Computational and Graphical
 Statistics, 33(3), 763-773>].  It aims at solving the multi-group regression
 problem. The algorithm decomposes the responses from multiple groups into
 shared and group-specific components, which are driven by low-rank
 approximations of joint and individual structures from the covariates
 respectively.

Package: r-cran-jiebard
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4980
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-jiebar
Filename: pool/dists/focal/main/r-cran-jiebard_0.1-1.ca2004.1_all.deb
Size: 5059100
MD5sum: 7157592b02265a0599ae87927b715473
SHA1: 5571a4bb23bbcc76618b0babf2ac85a1f8fb2426
SHA256: 72aba9fb045bdb9e3dd6340fdd0c6e107bac9c8eea839f2e7a1cf0bc48ed6790
SHA512: 5c892cd3f6ec51c75d39d7a27410541a4bccde134522952a9c75c2c2c0abd865fb0246a9d58f178d44c703258bf8d7dc77727efbfd4661497bb4569708235b24
Homepage: https://cran.r-project.org/package=jiebaRD
Description: CRAN Package 'jiebaRD' (Chinese Text Segmentation Data for jiebaR Package)
 jiebaR is a package for Chinese text segmentation, keyword extraction and
 speech tagging. This package provides the data files required by jiebaR.

Package: r-cran-jipapprox
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sampling
Filename: pool/dists/focal/main/r-cran-jipapprox_0.1.5-1.ca2004.1_all.deb
Size: 74372
MD5sum: 1da1d5d6f2f0be561771a4990d496378
SHA1: efa267a34a83fdaf0fb84c60944be8aa12853b0f
SHA256: cdbbba997d97685476c381a82e4c81819f8d230359979dba872ad0a430d93c36
SHA512: 6a34cb596bcdcc103fba2766c0a2dd7b91550ccf57fb12429277e7c70ab8d81f59609475503e685a404ad69581d012cb0f6f77352ec8e73e9e89e5f1e29fb2fc
Homepage: https://cran.r-project.org/package=jipApprox
Description: CRAN Package 'jipApprox' (Approximate Inclusion Probabilities for Survey Sampling)
 Approximate joint-inclusion probabilities in Unequal Probability Sampling,
 or compute Monte Carlo approximations of the first and second-order
 inclusion probabilities of a general sampling design as in Fattorini (2006)
 <doi:10.1093/biomet/93.2.269>.

Package: r-cran-jiragiler
Architecture: all
Version: 0.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-jiragiler_0.0.2.1-1.ca2004.1_all.deb
Size: 120488
MD5sum: a2da79549a63d95cd7a1b3ef8235cd1a
SHA1: f1a95b729fb9e75e5217b8122eafbe2c3b61d838
SHA256: 1755fc8c651d4bf71e2347abc5e12431c4acca59a854825da7db1996e9027a68
SHA512: f772e9a44247ffbd561078f0e90139386fb4fe374ce839222bb3072e7d80e95945ee8243556bcbd2fc17425f5fe96fea1c87362faa4d00007e90ded24a8a7164
Homepage: https://cran.r-project.org/package=JirAgileR
Description: CRAN Package 'JirAgileR' (JIRA REST API Wrapper for R)
 Allows to interact with the 'JIRA SERVER REST API' to analyze the retrieved
 data in R. For further information about the API visit
 <https://docs.atlassian.com/software/jira/docs/api/REST/8.9.1/>.

Package: r-cran-jjanno
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggiraphextra, r-cran-ggplot2, r-cran-magick, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-jjanno_0.0.3-1.ca2004.1_all.deb
Size: 1335468
MD5sum: dd6b6b3e734e2bf6434969e0b44c9997
SHA1: b43b25f93390be02c56f5a67a6f530db478ef3a9
SHA256: ed5beeb8dbd757408d4fd1449562c54da51741770bc5b87472c11c60244f549e
SHA512: 18e578e0b45b0a3597ade36105a7e2be06aeacc6b3038dce096cb464e8c3b3bf67a9d604ce16fb3f2215f750b0332eb008a8b6e8236fce87433e45426dd194b2
Homepage: https://cran.r-project.org/package=jjAnno
Description: CRAN Package 'jjAnno' (An Annotation Package for 'ggplot2' Output)
 To make the plot more elegant with some multiple type annotations including
 'rect', 'text', 'point', 'image' and 'segment' elements.

Package: r-cran-jjb
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jjb_0.1.1-1.ca2004.1_all.deb
Size: 80840
MD5sum: cf7ece38bdc41137eadaa0f2633e5dc4
SHA1: 2988e918a0f868883212745fe9bfbce2ad7720fc
SHA256: 8bf4b2fe187810527210e01516fd9bb6849b63414d25f82940a3044821de63ac
SHA512: 12e8e0f9b59435e43040a981c1ec0130283231f97b862f8937acf63fc9e65c57675d082599cc9c10edd5f910a5067dc736a776ddf48e87d675c590f4468e6f5e
Homepage: https://cran.r-project.org/package=jjb
Description: CRAN Package 'jjb' (Balamuta Miscellaneous)
 Set of common functions used for manipulating colors, detecting and
 interacting with 'RStudio', modeling, formatting, determining users'
 operating system, feature scaling, and more!

Package: r-cran-jlctree
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rpart, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-jlctree_0.0.2-1.ca2004.1_all.deb
Size: 92904
MD5sum: 0784a56ce65b20ad08e76d20db0a42f4
SHA1: e632b1ddf113b7e8992472499f5a5be617004738
SHA256: 34fc2554e06954933b9cb4f8f3a183874613f11b90a80b8e3e9a4ba29554e4e4
SHA512: cccf8e2543079c4039f307f080ed4d6c6f57a65ccf4089798bbafc76333b521888d377667f4629e036a8594ec73bfe49a12d98109a61e8da6f73a337212697ce
Homepage: https://cran.r-project.org/package=jlctree
Description: CRAN Package 'jlctree' (Joint Latent Class Trees for Joint Modeling of Time-to-Event andLongitudinal Data)
 Implements the tree-based approach to joint modeling of time-to-event and
 longitudinal data. This approach looks for a tree-based partitioning such
 that within each estimated latent class defined by a terminal node, the
 time-to-event and longitudinal responses display a lack of association. See
 Zhang and Simonoff (2018) <arXiv:1812.01774>.

Package: r-cran-jlme
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-juliaconnector, r-cran-juliaformulae, r-cran-mass
Suggests: r-cran-broom, r-cran-broom.mixed, r-cran-lme4, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jlme_0.4.1-1.ca2004.1_all.deb
Size: 87444
MD5sum: c763cd97bc1cacea620d50baba197c5f
SHA1: 0a0c696873d49392a3d563a1c31bfccef2bf7ec4
SHA256: f29fcd1dff3be77f61bb7467bc1c77af805dc4c5230ca7d2bae412af3d03cd8f
SHA512: b882102ba68b07a744310748be21a0e89977479a8ecdc31a9b299ab8e439ffbe6347aeb482b49363bba81f9f8bf05a963962ba97d66e87ae6bdb4c3c16aff3f0
Homepage: https://cran.r-project.org/package=jlme
Description: CRAN Package 'jlme' (Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in'Julia')
 Bindings to 'Julia' packages 'GLM.jl' <doi:10.5281/zenodo.3376013> and
 'MixedModels.jl' <doi:10.5281/zenodo.12575371>, powered by 'JuliaConnectoR'.
 Fits (generalized) linear (mixed-effects) regression models in 'Julia' using
 familiar model fitting syntax from R. Offers 'broom'-style data frame
 summary functionalities for 'Julia' regression models.

Package: r-cran-jlmerclusterperm
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-generics, r-cran-juliaconnector, r-cran-juliaformulae, r-cran-lme4
Suggests: r-cran-broom, r-cran-broom.mixed, r-cran-covr, r-cran-dplyr, r-cran-eyetrackingr, r-cran-forcats, r-cran-future, r-cran-ggplot2, r-cran-knitr, r-cran-mass, r-cran-patchwork, r-cran-readr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-jlmerclusterperm_1.1.4-1.ca2004.1_all.deb
Size: 821588
MD5sum: 8ba2961cfbd27ebe142311ecb247c1ac
SHA1: c99005d0331aec887ae62bf9db9499cf83b9f6c0
SHA256: b75b9a6966de4d73b5da552e30298e53e751fc58e32303cc9d3fd073e558cf7d
SHA512: f4045fe4568cfaddc3a1fa840bfe3a51afb5eaa70e953285b8c1ea1b1e381e445812fb59947f9f18b469f8e0d1c06ac6b2bd18f818d0ec97cb8d7721af264e55
Homepage: https://cran.r-project.org/package=jlmerclusterperm
Description: CRAN Package 'jlmerclusterperm' (Cluster-Based Permutation Analysis for Densely Sampled Time Data)
 An implementation of fast cluster-based permutation analysis (CPA) for
 densely-sampled time data developed in Maris & Oostenveld, 2007
 <doi:10.1016/j.jneumeth.2007.03.024>. Supports (generalized, mixed-effects)
 regression models for the calculation of timewise statistics. Provides both
 a wholesale and a piecemeal interface to the CPA procedure with an emphasis
 on interpretability and diagnostics.  Integrates 'Julia' libraries
 'MixedModels.jl' and 'GLM.jl' for performance improvements, with additional
 functionalities for interfacing with 'Julia' from 'R' powered by the
 'JuliaConnectoR' package.

Package: r-cran-jlsm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ellipse, r-cran-mvtnorm, r-cran-expm, r-cran-boot, r-cran-matrixcalc, r-cran-lvm4net, r-cran-proc, r-cran-network, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-jlsm_0.1.0-1.ca2004.1_all.deb
Size: 128408
MD5sum: d75081b4200b13a91d28be9cfa0a905a
SHA1: 0a7102fb9fad0c3a58122bda9bb10c5cee9fd3d7
SHA256: 6715caab2cb16bb1624b03b504d00a4d7d1a6b30e52e3bbdf112cd3d82474e45
SHA512: a4943585cca2558b3b4e2b3573a6fa37f800657ac29e73cb159136d49264b9d1550f179dd6be63e4442f2da3d2b36a4990b5e7261924efea3e4f3188304f244d
Homepage: https://cran.r-project.org/package=jlsm
Description: CRAN Package 'jlsm' (Joint Latent Space Model for Social Networks with MultivariateAttributes)
 Joint latent space models for social networks and multivariate attributes
 using a fast inference approach (Wang et al. (2019) <arXiv:1910.12128>).

Package: r-cran-jm
Architecture: all
Version: 1.5-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-survival
Filename: pool/dists/focal/main/r-cran-jm_1.5-2-1.ca2004.1_all.deb
Size: 1029124
MD5sum: 35be5cf72daabcde88fb52022f08970c
SHA1: beb1a0068dae96ea3b7493551d705fa39e99ae53
SHA256: 27787f99b3f2ce6b36913de107eead7e84f5306bf4c46ec303522513a650a627
SHA512: 0d09196fdecca5c6c298dd92146ba1239832f50b3253eb6285ab94539e3688704cae053d3e5ddc06ef1a3913742cd2ac164b032fb2fc282dcfa584b1b91c6530
Homepage: https://cran.r-project.org/package=JM
Description: CRAN Package 'JM' (Joint Modeling of Longitudinal and Survival Data)
 Shared parameter models for the joint modeling of longitudinal and
 time-to-event data.

Package: r-cran-jmastats
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-lifecycle, r-cran-lubridate, r-cran-purrr, r-cran-rappdirs, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr, r-cran-units, r-cran-xml2
Suggests: r-cran-knitr, r-cran-lwgeom, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jmastats_0.3.0-1.ca2004.1_all.deb
Size: 253900
MD5sum: cc67510be2ad2895cd6f363ed104c8bc
SHA1: e522fd145220f55465c4cafc2a2b06655b81c2d9
SHA256: e6dbbee5fa063a17c838c8b3ab7488d1a447430f3824d786b74e32ac5f938b61
SHA512: c458f87f41627dd317aaf8c02fef57fdd94af3cfcdce8a7b07ca0796dc6e85d5fbb88d40d60d0b6054962d3935f2e20dad08d744a751f29a512fd4a6bf5f9b28
Homepage: https://cran.r-project.org/package=jmastats
Description: CRAN Package 'jmastats' (Download Weather Data from Japan Meteorological Agency Website)
 Provides features that allow users to download weather data published by the
 Japan Meteorological Agency (JMA) website
 (<https://www.jma.go.jp/jma/index.html>). The data includes information
 dating back to 1976 and aligns with the categories available on the website.
 Additionally, users can process the best track data of typhoons and easily
 handle earthquake record files.

Package: r-cran-jmbdirect
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jmbayes2, r-cran-joinerml, r-cran-fastjm, r-cran-rstanarm, r-cran-dplyr, r-cran-jmbig
Filename: pool/dists/focal/main/r-cran-jmbdirect_0.1.0-1.ca2004.1_all.deb
Size: 276264
MD5sum: f2e31f545e86d7107f911154d11c7459
SHA1: f58709c2015d953b4bd4549d5fcfa5d7723f22da
SHA256: 0d4962236baffcfc87e9a5d9b028add0ed78eb1c15fa16058f5f73a1c5b68d9d
SHA512: 1b59cb48ec3d18b4eef6b7ac81acd3f4eadbc026e281f8b08429a62bd68fb55c01846c6d7fe51fa990ee6f38191fb1ae96a884519f739c3c534462cf91093cfe
Homepage: https://cran.r-project.org/package=JMbdirect
Description: CRAN Package 'JMbdirect' (Joint Model for Longitudinal and Multiple Time to Events Data)
 Provides model fitting, prediction, and plotting for joint models of
 longitudinal and multiple time-to-event data, including methods from
 Rizopoulos (2012) <doi:10.1201/b12208>. Useful for handling complex survival
 and longitudinal data in clinical research.

Package: r-cran-jmbig
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jmbayes2, r-cran-joinerml, r-cran-rstanarm, r-cran-fastjm, r-cran-dplyr, r-cran-nlme, r-cran-survival, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-jmbig_0.1.3-1.ca2004.1_all.deb
Size: 199360
MD5sum: 915a652128a70daf055510f16f70d947
SHA1: 6b6db800d93f3042c55a702f573602fbb133d2b5
SHA256: bf123e3c2fba8ef89d519183b257b1d2decdfb4693ba40bcf765caf1dece1bf2
SHA512: 602482cd9d8adb4938af6ee6ec5542db200f28f75349b3274f38fd3e9d27ae7d127255b0ae1cd7e6afc34a134c0051eee2c2e7fad4bfe23458367f93953100b8
Homepage: https://cran.r-project.org/package=jmBIG
Description: CRAN Package 'jmBIG' (Joint Longitudinal and Survival Model for Big Data)
 Provides analysis tools for big data where the sample size is very large. It
 offers a suite of functions for fitting and predicting joint models, which
 allow for the simultaneous analysis of longitudinal and time-to-event data.
 This statistical methodology is particularly useful in medical research
 where there is often interest in understanding the relationship between a
 longitudinal biomarker and a clinical outcome, such as survival or disease
 progression.  This can be particularly useful in a clinical setting where it
 is important to be able to predict how a patient's health status may change
 over time. Overall, this package provides a comprehensive set of tools for
 joint modeling of BIG data obtained as survival and longitudinal outcomes
 with both Bayesian and non-Bayesian approaches. Its versatility and
 flexibility make it a valuable resource for researchers in many different
 fields, particularly in the medical and health sciences.

Package: r-cran-jmdem
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-jmdem_1.0.1-1.ca2004.1_all.deb
Size: 242032
MD5sum: 7b321902b5570977da26849e6b3c4cd0
SHA1: 0cfd137ca24a8ba126787bbaef35218468f0a920
SHA256: f35b377715621c71d207194bb1a2315fb0852f9c2ea6b8d1895183f06db6dee2
SHA512: 5189bd20afaa53fee81ae40d22e3f1216f4612532dd6f61207ec58593c749a6c7315bd05670f0d0b23ebf56ca948fcfe4662ae99c945836fc4677e832f787cb0
Homepage: https://cran.r-project.org/package=jmdem
Description: CRAN Package 'jmdem' (Fitting Joint Mean and Dispersion Effects Models)
 Joint mean and dispersion effects models fit the mean and dispersion
 parameters of a response variable by two separate linear models, the mean
 and dispersion submodels, simultaneously. It also allows the users to choose
 either the deviance or the Pearson residuals as the response variable of the
 dispersion submodel. Furthermore, the package provides the possibility to
 nest the submodels in one another, if one of the parameters has significant
 explanatory power on the other. Wu & Li (2016)
 <doi:10.1016/j.csda.2016.04.015>.

Package: r-cran-jmdesign
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jmdesign_1.6-1.ca2004.1_all.deb
Size: 136044
MD5sum: 939bb11e018f85e876f31fd22d6d1443
SHA1: aba47ab837d114ca1087f706385cd7a5fbcfaeba
SHA256: e40960b3cd564ea11647bf99b526fbd92a69f085407bd61bfa34361eb65e99e5
SHA512: de093e75f80abb0dccef39e1920e9c4dae36133b2023130c63834a195d3338ef38b71eca2b54d789ab35c3c4aa92cfe3d8835ae9663a1a8e1bd1cf883d7df1b4
Homepage: https://cran.r-project.org/package=JMdesign
Description: CRAN Package 'JMdesign' (Joint Modeling of Longitudinal and Survival Data - PowerCalculation)
 Performs power calculations for joint modeling of longitudinal and survival
 data with k-th order trajectories when the variance-covariance matrix,
 Sigma_theta, is unknown.

Package: r-cran-jmetrik
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jmetrik_1.1-1.ca2004.1_all.deb
Size: 19780
MD5sum: 3eaab1bd00a0656157323fe6a449ac31
SHA1: ff5b0fec81f82ce541ba2687a21f13a308523ad9
SHA256: 22abad891a17d83a12a833500bfec061442f1b2b80ac997d5bad79606910c201
SHA512: 95188cb888306faa690ef8ce6f08e933f90b6ab64ba3a85b9d2d46fa7bcfa3bb8a540454437f9f7e690ffe8c26744ad1acca1f1f4882f8cfcbe6c3142bb709da
Homepage: https://cran.r-project.org/package=jmetrik
Description: CRAN Package 'jmetrik' (Tools for Interacting with 'jMetrik')
 The main purpose of this package is to make it easy for userR's to interact
 with 'jMetrik' an open source application for psychometric analysis. For
 example it allows useR's to write data frames to file in a format that can
 be used by 'jMetrik'. It also allows useR's to read *.jmetrik files (e.g.
 output from an analysis) for follow-up analysis in R. The *.jmetrik format
 is a flat file that includes a multiline header and the data as comma
 separated values. The header includes metadata about the file and one row
 per variable with the following information in each row: variable name, data
 type, item scoring, special data codes, and variable label.

Package: r-cran-jmisc
Architecture: all
Version: 0.3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jmisc_0.3.1.1-1.ca2004.1_all.deb
Size: 44544
MD5sum: 95822a58c09c3158e40b22ece0e2d348
SHA1: 3d8894bd05a17bdbacc7bdc9b171ef9fef934fdd
SHA256: d64b93e9fdc6fc87ab311a5569369b4470e4eaae26e9de87b27f2d8a6f5eb6d9
SHA512: b842c4418c43fd9c425142728d1f9555fe01819dc837446ae5ba70d0b968c60d298a92c9e4365faee6c80660bc84c2b484ae7eb7f3cb424b4c093c9064bcfd00
Homepage: https://cran.r-project.org/package=Jmisc
Description: CRAN Package 'Jmisc' (Julian Miscellaneous Function)
 Some handy function in R.

Package: r-cran-jmuoutlier
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-agricolae, r-cran-coin, r-cran-fastgraph
Filename: pool/dists/focal/main/r-cran-jmuoutlier_2.2-1.ca2004.1_all.deb
Size: 151452
MD5sum: 0b429b7b72ef98ee571fc1ac3147facd
SHA1: 1e39e7cbab90527f7fd1b8db75371d41a673edad
SHA256: decb2e2c373533ac9bab45798dcc6d476960f05f891200fe7712f0713a989d5d
SHA512: 07589ef228be6f6a98dff73d166c25fd8205b555218d63db5c301c0cf57cb0d62288532a3345a0e467aa3e58862249519c75c87daab87f9af03d74f6eba06d55
Homepage: https://cran.r-project.org/package=jmuOutlier
Description: CRAN Package 'jmuOutlier' (Permutation Tests for Nonparametric Statistics)
 Performs a permutation test on the difference between two location
 parameters, a permutation correlation test, a permutation F-test, the
 Siegel-Tukey test, a ratio mean deviance test.  Also performs some graphing
 techniques, such as for confidence intervals, vector addition, and Fourier
 analysis; and includes functions related to the Laplace (double exponential)
 and triangular distributions.  Performs power calculations for the binomial
 test.

Package: r-cran-jmv
Architecture: all
Version: 2.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8399
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jmvcore, r-cran-r6, r-cran-car, r-cran-multcomp, r-cran-ggplot2, r-cran-pmcmr, r-cran-emmeans, r-cran-vcd, r-cran-vcdextra, r-cran-ggally, r-cran-bayesfactor, r-cran-psych, r-cran-gparotation, r-cran-afex, r-cran-mvnormtest, r-cran-lavaan, r-cran-ggridges, r-cran-rocr, r-cran-nnet, r-cran-mass, r-cran-ggrepel, r-cran-dplyr, r-cran-magrittr, r-cran-matrixstats
Suggests: r-cran-exact2x2, r-cran-testthat, r-cran-semplot, r-cran-cardata, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jmv_2.7.0-1.ca2004.1_all.deb
Size: 3513948
MD5sum: 00337bad349b5aa9f1df080e1a267512
SHA1: 7c64e831310777ac84c5ab934bb19d8bec1e6021
SHA256: fc4e243e7cd7a7cf3813ee54ebd76b5514c6071373b24218f496dddc092e36f7
SHA512: ba8aeab8538f23cb52fd14094ca2f42c9cfbec0611a4b5056a6bb1b0236616cd9a4d348dcfedcbab0d14933b0c5d036d4c177579c8988fcbbf1bf09825e9146f
Homepage: https://cran.r-project.org/package=jmv
Description: CRAN Package 'jmv' (The 'jamovi' Analyses)
 A suite of common statistical methods such as descriptives, t-tests, ANOVAs,
 regression, correlation matrices, proportion tests, contingency tables, and
 factor analysis. This package is also useable from the 'jamovi' statistical
 spreadsheet (see <https://www.jamovi.org> for more information).

Package: r-cran-jmvcore
Architecture: all
Version: 2.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1341
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rlang, r-cran-jsonlite, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-rprotobuf, r-cran-knitr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-ragg, r-cran-fastmap
Filename: pool/dists/focal/main/r-cran-jmvcore_2.6.3-1.ca2004.1_all.deb
Size: 1042884
MD5sum: 31803dbc1d80ddbf8aa08107e7ed55c6
SHA1: 2163d9e1ac940cb9b5e9014fcec59c480b073189
SHA256: f8caee0b354c857c5094a7e7327e89c345747f726f971319c51cf8b7b57844e4
SHA512: fa8967fbe6a86de75c913bea81d01324403c58048933acc9ccb304f86d2c29fda672953e338bece6b6313949ddf993ca80059a7251c0d535980fe9b2f9af2c31
Homepage: https://cran.r-project.org/package=jmvcore
Description: CRAN Package 'jmvcore' (Dependencies for the 'jamovi' Framework)
 A framework for creating rich interactive analyses for the jamovi platform
 (see <https://www.jamovi.org> for more information).

Package: r-cran-jmvreadwrite
Architecture: all
Version: 0.4.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 664
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-zip
Suggests: r-cran-jmv, r-cran-jmvcore, r-cran-foreign, r-cran-haven, r-cran-knitr, r-cran-rmarkdown, r-cran-rprotobuf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jmvreadwrite_0.4.11-1.ca2004.1_all.deb
Size: 567016
MD5sum: 5dd36dd3d2b122bcb87b23733a74c159
SHA1: 07eff95e073ad4225f77cf17b94f2a6438e2af2f
SHA256: 75c54df49324f89de9525378bb554a7daa4e1d5bf55bf5d6fb739745213673c6
SHA512: afa6907ccb54a973c92d27039c9a8774a784d22734e88f98a95a0df7f5bd89979d9d9c2952fd2120d1c87ee3c3e2ae7573b81b79f62bcb1ef0e79e5f780dce51
Homepage: https://cran.r-project.org/package=jmvReadWrite
Description: CRAN Package 'jmvReadWrite' (Read and Write 'jamovi' Files ('.omv'))
 The free and open a statistical spreadsheet 'jamovi'
 (<https://www.jamovi.org>) aims to make statistical analyses easy and
 intuitive. 'jamovi' produces syntax that can directly be used in R (in
 connection with the R-package 'jmv'). Having import / export routines for
 the data files 'jamovi' produces ('.omv') permits an easy transfer of data
 and analyses between 'jamovi' and R.

Package: r-cran-jnplots
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-nlme, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jnplots_0.1.1-1.ca2004.1_all.deb
Size: 148024
MD5sum: 402bb7c4bac695c67454b89307260fe8
SHA1: 559f40ca04ad9561584f2f5164139381b193684e
SHA256: 7477cddb2a7321373d314002baea6745e1ef1a614be9ed7dda0636144e8a4816
SHA512: aeb787376ff82f9258f047c7f111f58a152c61f437ac06a7da8bc02f45260b788034ac2aa91489ba11003f6681bdbea6c9e65ac118ca0486148b94d7e421db7c
Homepage: https://cran.r-project.org/package=JNplots
Description: CRAN Package 'JNplots' (Visualize Outputs from the 'Johnson-Neyman' Technique)
 Aids in the calculation and visualization of regions of non-significance
 using the 'Johnson-Neyman' technique and its extensions as described by
 Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5> to assess the
 influence of categorical and continuous moderators. Allows correcting for
 phylogenetic relatedness.

Package: r-cran-job
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-digest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-job_0.3.1-1.ca2004.1_all.deb
Size: 60364
MD5sum: a3790c25d54579b1214061bd36880438
SHA1: e47fad9aff1f06da3bed6bb7da3b3a7c65ea3974
SHA256: 9061a21c7b731a744bbd83ead91fcacabbca287d1f86ab69cc5930ec1b4028a9
SHA512: 489b10640c22039fc707b1c56927776a812be4ad1eb9600448895d89e46f6d0c7c83a65573705455b0a21971ac63b61183b1ea2cc1620bdb3bd1e6b1b4936f1e
Homepage: https://cran.r-project.org/package=job
Description: CRAN Package 'job' (Run Code as an RStudio Job - Free Your Console)
 Call job::job({<code here>}) to run R code as an RStudio job and keep your
 console free in the meantime. This allows for a productive workflow while
 testing (multiple) long-running chunks of code. It can also be used to
 organize results using the RStudio Jobs GUI or to test code in a clean
 environment. Two RStudio Addins can be used to run selected code as a job.

Package: r-cran-jobqueue
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-later, r-cran-magrittr, r-cran-parallelly, r-cran-promises, r-cran-ps, r-cran-r6, r-cran-rlang, r-cran-semaphore
Suggests: r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jobqueue_1.6.0-1.ca2004.1_all.deb
Size: 211520
MD5sum: cc6967bcbbbe67ee3537e0e9f16177cd
SHA1: 6957ed68a18c000fa14a9c56c0599beba036ab2f
SHA256: f5ff7d4a51b2266717b89318d58cb35dcdad914a684ae95eb5b3588ab2346c92
SHA512: 98bc0abcb4ab68e02061f7964aa1d68ea3031307e31be0578fc5138b947d115b9249efc401c44a92dcb5ccac64ae22f740731a5aa2a9c6a1bbe237c92babc559
Homepage: https://cran.r-project.org/package=jobqueue
Description: CRAN Package 'jobqueue' (Run Interruptible Code Asynchronously)
 Takes an R expression and returns a Job object with a $stop() method which
 can be called to terminate the background job. Also provides timeouts and
 other mechanisms for automatically terminating a background job. The result
 of the expression is available synchronously via $result or asynchronously
 with callbacks or through the 'promises' package framework.

Package: r-cran-jocre
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-kernsmooth, r-cran-plyr, r-cran-tsp
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-jocre_0.3.3-1.ca2004.1_all.deb
Size: 101120
MD5sum: 88e49b50fbc6ca6cf7a71d79440a7632
SHA1: 2eccff9bacda4a84d3a8ed5c05bc5ddd45f30024
SHA256: 884dad83422dea3236f272ceb0417452e00c833802a2cd7a348f2b9d083e8d11
SHA512: c5320190de887e899c1c46f87ff3e4a745093461a7c10e567b2efa8cadde2312bd1ea31281d76495e9c3b4ea80d6aea32c857460e9db71913132f31a25ba84f8
Homepage: https://cran.r-project.org/package=jocre
Description: CRAN Package 'jocre' (Joint Confidence Regions)
 Computing and plotting joint confidence regions and intervals. Regions
 include classical ellipsoids, minimum-volume or minimum-length regions, and
 an empirical Bayes region. Intervals include the TOST procedure with
 ordinary or expanded intervals and a fixed-sequence procedure. Such regions
 and intervals are useful e.g., for the assessment of multi-parameter
 (bio-)equivalence. Joint confidence regions for the mean and variance of a
 normal distribution are available as well.

Package: r-cran-jof
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jof_0.1.0-1.ca2004.1_all.deb
Size: 68096
MD5sum: 256f539d05be22b644280c229dbbc57f
SHA1: 44993f25267cd4c4607e2b10ccfaef435f15730c
SHA256: 98853c223d30d3066dc51cd8cb3b4a9e4c58460e42cdfac92cad0f193b413661
SHA512: 5e2082d9b18f5cc55537fdb5e1ab52bbf5d0557893ebce804a2cc20cec36accf32c49539a3216f84786d8d9825b572708f5464fdbf724dc28529f63f01e8d529
Homepage: https://cran.r-project.org/package=JoF
Description: CRAN Package 'JoF' (Modelling and Simulating Judgments of Frequency)
 In a typical experiment for the intuitive judgment of frequencies (JoF)
 different stimuli with different frequencies are presented. The participants
 consider these stimuli with a constant duration and give a judgment of
 frequency. These judgments can be simulated by formal models: PASS 1 and
 PASS 2 based on Sedlmeier (2002, ISBN:978-0198508632), MINERVA 2 baesd on
 Hintzman (1984) <doi:10.3758/BF03202365> and TODAM 2 based on Murdock, Smith
 & Bai (2001) <doi:10.1006/jmps.2000.1339>. The package provides an
 assessment of the frequency by determining the core aspects of these four
 models (attention, decay, and presented frequency) that can be compared to
 empirical results.

Package: r-cran-johnson
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-johnson_1.4-1.ca2004.1_all.deb
Size: 29516
MD5sum: def0ac80ce9fd955e9fc876a15d93113
SHA1: ddf2070902457aa4bb0799467c7338b7ed7ecf72
SHA256: 7698d392b8ce5ac81a7e55e0d11f526e7131453bea32e5acb29cce437010edc7
SHA512: 2629b9aa903f59dbc22d02d380536cc9187cf490517d47c476b8d79770956a76c3ee0652a826330ddb65d9c0029eff9d8d824cbf93b104332e89d51b56deccd5
Homepage: https://cran.r-project.org/package=Johnson
Description: CRAN Package 'Johnson' (Johnson Transformation)
 RE.Johnson performs the Johnson Transformation to increase the normality.

Package: r-cran-joiner
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-lattice, r-cran-mass, r-cran-nlme, r-cran-statmod
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-joiner_1.2.8-1.ca2004.1_all.deb
Size: 1553004
MD5sum: f65e598f2367f55aab3c285f786a9062
SHA1: d5bbf4d1c1c1e3fa0266949ce9e65c48bcf2b9dd
SHA256: f6d92a8c284a603f83b52c83b2e3c65e54baebd2933bb52309e9ec6dba28f97c
SHA512: 29e99a8cc5d8c2ac939522b2113b643245524032987d66a0ee5e6126cb98d488523176392bcefb4f70217ece3740ae91c8f8c4a7bc1d8f0d802e31e951e1ec2a
Homepage: https://cran.r-project.org/package=joineR
Description: CRAN Package 'joineR' (Joint Modelling of Repeated Measurements and Time-to-Event Data)
 Analysis of repeated measurements and time-to-event data via random effects
 joint models. Fits the joint models proposed by Henderson and colleagues
 <doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson
 and colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time)
 to a single continuous repeated measure. The time-to-event data is modelled
 using a (cause-specific) Cox proportional hazards regression model with
 time-varying covariates. The longitudinal outcome is modelled using a linear
 mixed effects model. The association is captured by a latent Gaussian
 process. The model is estimated using am Expectation Maximization algorithm.
 Some plotting functions and the variogram are also included. This project is
 funded by the Medical Research Council (Grant numbers G0400615 and
 MR/M013227/1).

Package: r-cran-joinet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-palasso, r-cran-cornet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-mice, r-cran-earth, r-cran-spls, r-cran-mrce, r-cran-multivariaterandomforest, r-cran-sier, r-cran-mcen, r-cran-gpm, r-cran-rmtl, r-cran-mtps
Filename: pool/dists/focal/main/r-cran-joinet_1.0.0-1.ca2004.1_all.deb
Size: 96100
MD5sum: a0e375d3aa9a88615a841dbfb3b8e082
SHA1: bd147f1a8897fd436ba6895334685bf777fb2536
SHA256: 5f8524fe8036e98331b42fa9ba0837d7748d91aabd988ff12cff35feea2fbd73
SHA512: 8c584b411f1ddc615a678a77f087849e0466ca0f93d9bd7434dbeb0ff6bbcdce32d292617d4c89ed9ced4d51f78e18485a9b10d62eba6898dd1b586194940577
Homepage: https://cran.r-project.org/package=joinet
Description: CRAN Package 'joinet' (Penalised Multivariate Regression ('Multi-Target Learning'))
 Implements penalised multivariate regression (i.e., for multiple outcomes
 and many features) by stacked generalisation
 (<doi:10.1093/bioinformatics/btab576>). For positively correlated outcomes,
 a single multivariate regression is typically more predictive than multiple
 univariate regressions. Includes functions for model fitting, extracting
 coefficients, outcome prediction, and performance measurement. For optional
 comparisons, install 'remMap' from GitHub
 (<https://github.com/cran/remMap>).

Package: r-cran-joint.cox
Architecture: all
Version: 3.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-joint.cox_3.16-1.ca2004.1_all.deb
Size: 2231292
MD5sum: 1127884e1150d81c2172cc40c787c6f8
SHA1: c7aaa3b89984294a3492fdb0b9a1d927c2d300a1
SHA256: bac2ed182958c42570e14a3858c7d4b7450be9af8514bdb19085cad3362a06e9
SHA512: cf86c8d10b96d297d28517bc5a91b40581c3201843225c1c7a300bac16be6feab7cf4d356df0fe8d48dd2421a524cf2d968cf51012b029a8d8a317148e690083
Homepage: https://cran.r-project.org/package=joint.Cox
Description: CRAN Package 'joint.Cox' (Joint Frailty-Copula Models for Tumour Progression and Death inMeta-Analysis)
 Fit survival data and perform dynamic prediction under joint frailty-copula
 models for tumour progression and death.  Likelihood-based methods are
 employed for estimating model parameters, where the baseline hazard
 functions are modeled by the cubic M-spline or the Weibull model.  The
 methods are applicable for meta-analytic data containing individual-patient
 information from several studies.  Survival outcomes need information on
 both terminal event time (e.g., time-to-death) and non-terminal event time
 (e.g., time-to-tumour progression).  Methodologies were published in Emura
 et al. (2017) <doi:10.1177/0962280215604510>, Emura et al. (2018)
 <doi:10.1177/0962280216688032>, Emura et al. (2020)
 <doi:10.1177/0962280219892295>, Shinohara et al. (2020)
 <doi:10.1080/03610918.2020.1855449>, Wu et al. (2020)
 <doi:10.1007/s00180-020-00977-1>, and Emura et al. (2021)
 <doi:10.1177/09622802211046390>.  See also the book of Emura et al. (2019)
 <doi:10.1007/978-981-13-3516-7>.  Survival data from ovarian cancer patients
 are also available.

Package: r-cran-jointai
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2693
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjags, r-cran-mcmcse, r-cran-coda, r-cran-rlang, r-cran-future, r-cran-mathjaxr, r-cran-survival, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-foreign, r-cran-ggplot2, r-cran-ggpubr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-jointai_1.0.6-1.ca2004.1_all.deb
Size: 2127216
MD5sum: 2235abcbab96b3f592cb3dcd9189eb92
SHA1: 47b8f5d3e2547952c81e976c8138d1adc57c9d0c
SHA256: 4577b65ff3b616f1bb297444cf4eb17393399c38644f999e47eaf1bb1cd1985c
SHA512: 3bcffb4cd20094a96afc94cae40a8dbd561c8193095bbd40bc6e40cc3caca647f2e1f56bce39f02bfa737ba31a21041883b390c9e59383e173307b20621c78a2
Homepage: https://cran.r-project.org/package=JointAI
Description: CRAN Package 'JointAI' (Joint Analysis and Imputation of Incomplete Data)
 Joint analysis and imputation of incomplete data in the Bayesian framework,
 using (generalized) linear (mixed) models and extensions there of, survival
 models, or joint models for longitudinal and survival data, as described in
 Erler, Rizopoulos and Lesaffre (2021) <doi:10.18637/jss.v100.i20>.
 Incomplete covariates, if present, are automatically imputed.  The package
 performs some preprocessing of the data and creates a 'JAGS' model, which
 will then automatically be passed to 'JAGS'
 <https://mcmc-jags.sourceforge.io/> with the help of the package 'rjags'.

Package: r-cran-jointcalib
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-laeken, r-cran-sampling, r-cran-mathjaxr, r-cran-survey, r-cran-mass, r-cran-ebal
Filename: pool/dists/focal/main/r-cran-jointcalib_0.1.0-1.ca2004.1_all.deb
Size: 45020
MD5sum: a1a85a7dd7f947a816d56353cade279d
SHA1: 630310b2b15a60a4d81e5a0198355253b637c60a
SHA256: d343b9eb959975e8f9d97432cc79980383215920c9d7953e176ff7bcbb60cc37
SHA512: 1467b04922f1e52129d77de3a3d88482392fc3188d95fdc9d11a98a2e79f56c79d06e8307efebdbe3559c78bfaf03acf0cff7764167058de07db63198ead7874
Homepage: https://cran.r-project.org/package=jointCalib
Description: CRAN Package 'jointCalib' (A Joint Calibration of Totals and Quantiles)
 A small package containing functions to perform a joint calibration of
 totals and quantiles. The calibration for totals is based on Deville and
 Särndal (1992) <doi:10.1080/01621459.1992.10475217>, the calibration for
 quantiles is based on Harms and Duchesne (2006)
 <https://www150.statcan.gc.ca/n1/en/catalogue/12-001-X20060019255>. The
 package uses standard calibration via the 'survey', 'sampling' or 'laeken'
 packages. In addition, entropy balancing via the 'ebal' package and
 empirical likelihood based on codes from Wu (2005)
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2005002/article/9051-eng.pdf>
 can be used. See the paper by Beręsewicz and Szymkowiak (2023) for details
 <arXiv:2308.13281>.

Package: r-cran-jointest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flipscores, r-cran-flip
Suggests: r-cran-knitr, r-cran-logistf, r-cran-rmarkdown, r-cran-ggplot2, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-jointest_1.0-1.ca2004.1_all.deb
Size: 96940
MD5sum: e8b292a2ee56893a2f013a6b9c67d779
SHA1: b05627e89e125cc8fa9a4573ba9168bf566f3d04
SHA256: 3bafd42cb3ec1d0aff58ac39b344796e28672341d55a044b91053f74cd5fc7f3
SHA512: 390350bc89a747bb074aa34aa0fe85b0f017ef9c9f95cd17dccebac95444eabd3a0e5d953bfdfd3cb0966d82a23cb76dd925881bd366418a74f91b7ab225ee90
Homepage: https://cran.r-project.org/package=jointest
Description: CRAN Package 'jointest' (Multivariate Testing Through Joint Resampling-Based Tests)
 Runs resampling-based tests jointly, e.g., sign-flip score tests from
 Hemerik et al., (2020) <doi:10.1111/rssb.12369>, to allow for multivariate
 testing, i.e., weak and strong control of the Familywise Error Rate or True
 Discovery Proportion.

Package: r-cran-jointfpm
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstpm2, r-cran-survival, r-cran-data.table, r-cran-rlang, r-cran-lifecycle, r-cran-rmutil, r-cran-cli, r-cran-matrixstats, r-cran-statmod
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jointfpm_1.2.2-1.ca2004.1_all.deb
Size: 62916
MD5sum: 2baae1e06d8d047fba50245306a31a89
SHA1: ec67393e97bddb368e2a0726476cc832c903e77f
SHA256: 2d4d947d1b2cf146e65d7912e97a1abf75e05386c41767d726b3a156c5a2b5d9
SHA512: c95e7588f77d6945c22c2af1309e6e30c274f0d570d350e2492fce66cb759c1666dd5402576d6d6d1899cf1296164d44fcc36304c6f3f8d52a207a084c906c8d
Homepage: https://cran.r-project.org/package=JointFPM
Description: CRAN Package 'JointFPM' (A Parametric Model for Estimating the Mean Number of Events)
 Implementation of a parametric joint model for modelling recurrent and
 competing event processes using generalised survival models as described in
 Entrop et al., (2005) <doi:10.1002/bimj.70038>. The joint model can
 subsequently be used to predict the mean number of events in the presence of
 competing risks at different time points. Comparisons of the mean number of
 event functions, e.g. the differences in mean number of events between two
 exposure groups, are also available.

Package: r-cran-jointmeancov
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jointmeancov_0.1.0-1.ca2004.1_all.deb
Size: 65428
MD5sum: 9c94ef9b0f5593f6f217ced9c7e670b8
SHA1: a5e9fae638e1478c7c29e414ba1256ae34c18243
SHA256: b172e13caf87d45b8da93ce921ffef987457a714ff741d78f8527fbe45e33aad
SHA512: 794f97aa36bfbf0a57d5a950f622e6682c421423684d60594b424c9ed369833613cebe4004344c0dfb5bc7cd80cc1fd1d8efdc16785ad2156528b123a3dadb64
Homepage: https://cran.r-project.org/package=jointMeanCov
Description: CRAN Package 'jointMeanCov' (Joint Mean and Covariance Estimation for Matrix-Variate Data)
 Jointly estimates two-group means and covariances for matrix-variate data
 and calculates test statistics.  This package implements the algorithms
 defined in Hornstein, Fan, Shedden, and Zhou (2018)
 <doi:10.1080/01621459.2018.1429275>.

Package: r-cran-jointmodel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-survival, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-jointmodel_1.0-1.ca2004.1_all.deb
Size: 99792
MD5sum: 9e039e20c415f576afae39cb33617c89
SHA1: 826704fb05b12685b543085ab642c63865275c4d
SHA256: 977289129001a65a4201605f4b9fb029d5b7906662ddf2d4b70cf051dc1b77e7
SHA512: f7dd6ebd45b0a04838abc5ac6046b1d12ee8967ef785a1caa9474839ed6bc1167f40a4a1d138ca46a34f902c6b62764cacfe4aa60b9445ced3fa8df418f8c33d
Homepage: https://cran.r-project.org/package=JointModel
Description: CRAN Package 'JointModel' (Semiparametric Joint Models for Longitudinal and CountingProcesses)
 Joint fit of a semiparametric regression model for longitudinal responses
 and a semiparametric transformation model for time-to-event data.

Package: r-cran-jointnets
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3973
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-pcapp, r-cran-igraph, r-cran-jgl, r-cran-mass, r-cran-brainr, r-cran-misc3d, r-cran-oro.nifti, r-cran-shiny, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-jointnets_2.0.1-1.ca2004.1_all.deb
Size: 3969304
MD5sum: fc3a9d48a7c8212c041bd1cdc1825c42
SHA1: 6ca76eccb5f0baeb040bdc5733cac41d8f3cc045
SHA256: 38fd284c3eb714155ea7485857e8efcaf1641d37a0795f1282dac4d021c2b265
SHA512: 7351813409c52d929e3f4706bc6c783dc222bbad1384ce1b5d845d8275da327e72c900d0eefd55fe2b1c55bca7fe1ddf724f61ff9dc9a80df25a6adf64c2c2c6
Homepage: https://cran.r-project.org/package=JointNets
Description: CRAN Package 'JointNets' (End-to-End Sparse Gaussian Graphical Model Simulation,Estimation, Visualization, Evaluation and Application)
 An end-to-end package for learning multiple sparse Gaussian graphical models
 and nonparanormal models from Heterogeneous Data with Additional Knowledge.
 It is able to simulate multiple related graphs as well as produce samples
 drawn from them. Multiple state-of-the-art sparse Gaussian graphical model
 estimators are included to both multiple and difference estimation. Graph
 visualization is available in 2D as well as 3D, designed specifically for
 brain. Moreover, a set of evaluation metrics are integrated for easy
 exploration with model validity. Finally, classification using graphical
 model is achieved with Quadratic Discriminant Analysis. The package comes
 with multiple demos with datasets from various fields. Methods references:
 SIMULE (Wang B et al. (2017) <doi:10.1007/s10994-017-5635-7>), WSIMULE
 (Singh C et al. (2017) <arXiv:1709.04090v2>), DIFFEE (Wang B et al. (2018)
 <arXiv:1710.11223>), JEEK (Wang B et al. (2018) <arXiv:1806.00548>),
 JGL(Danaher P et al. (2012) <arXiv:1111.0324>) and kdiffnet (Sekhon A et al,
 preprint for publication).

Package: r-cran-jointnmix
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jointnmix_1.0-1.ca2004.1_all.deb
Size: 95808
MD5sum: 82ba4abfce08270c062f3109e2e4667a
SHA1: 71e2dc467f681b538c2d5555af343e71331aef91
SHA256: 65200a07beb8e4b4e571ce978615b1fa788a62ce8d9aaa631a24fda6da084da6
SHA512: 85dbd65036229c7cca6511aa45ba03610e1189c0e90c929100684ba8723b988a927c6b7a9494aca53021d9c086c84ed6030d8761bc4a6f21e6cdace64bab094b
Homepage: https://cran.r-project.org/package=jointNmix
Description: CRAN Package 'jointNmix' (Joint N-Mixture Models for Site-Associated Species)
 Fits univariate and joint N-mixture models for data on two unmarked
 site-associated species. Includes functions to estimate latent abundances
 through empirical Bayes methods.

Package: r-cran-jointpm
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jointpm_2.3.2-1.ca2004.1_all.deb
Size: 45816
MD5sum: 837a446fc5661116864cdb6ba99f49e2
SHA1: 86976476a23abf67972b05d91e873996852dd067
SHA256: ab18cfc5d7f4334822fa8d4d0134b140f87c93105406ec6d1441b25b29dddde4
SHA512: fa3ac2cbc925ccea2a8d23727197dbf93328c28fa89181788d5a0c61420bdb1ce8513c74bbf96dbd7f9a220e8a097b39beffd9831e927edcf654b5f4a65473b7
Homepage: https://cran.r-project.org/package=jointPm
Description: CRAN Package 'jointPm' (Risk Estimation Using the Joint Probability Method)
 Estimate risk caused by two extreme and dependent forcing variables using
 bivariate extreme value models as described in Zheng, Westra, and Sisson
 (2013) <doi:10.1016/j.jhydrol.2013.09.054>; Zheng, Westra and Leonard (2014)
 <doi:10.1002/2013WR014616>; Zheng, Leonard and Westra (2015)
 <doi:10.2166/hydro.2015.052>.

Package: r-cran-jointvip
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggrepel, r-cran-ggplot2
Suggests: r-cran-causaldata, r-cran-devtools, r-cran-knitr, r-cran-matchit, r-cran-weightit, r-cran-optmatch, r-cran-optweight, r-cran-rmarkdown, r-cran-testthat, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-jointvip_1.0.0-1.ca2004.1_all.deb
Size: 1888992
MD5sum: dec2f4a6d909fd03c6f122a38e4718c1
SHA1: 8bae80df466331200ea466ec071a20346244c574
SHA256: 1d6e150a19d6f4fad6ffcf384faa7323281906a966b07eb88bd76b5136ca5cec
SHA512: 168091c948fb64020cdd14b3d0c10437af06d38e4c9032a35f9ca78d3f1cb067b422c8344f1ec743ae4794c620c20b96be218ca486ac6a4e6d7fc5c3090b7dfb
Homepage: https://cran.r-project.org/package=jointVIP
Description: CRAN Package 'jointVIP' (Prioritize Variables with Joint Variable Importance Plot inObservational Study Design)
 In the observational study design stage, matching/weighting methods are
 conducted. However, when many background variables are present, the decision
 as to which variables to prioritize for matching/weighting is not trivial.
 Thus, the joint treatment-outcome variable importance plots are created to
 guide variable selection. The joint variable importance plots enhance
 variable comparisons via unadjusted bias curves derived under the omitted
 variable bias framework. The plots translate variable importance into
 recommended values for tuning parameters in existing methods. Post-matching
 and/or weighting plots can also be used to visualize and assess the quality
 of the observational study design. The method motivation and derivation is
 presented in "Prioritizing Variables for Observational Study Design using
 the Joint Variable Importance Plot" by Liao et al. (2024)
 <doi:10.1080/00031305.2024.2303419>. See the package paper by Liao and
 Pimentel (2024) <doi:10.21105/joss.06093> for a beginner friendly user
 introduction.

Package: r-cran-joinxl
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-openxlsx, r-cran-timeseries, r-cran-data.table, r-cran-rchoicedialogs, r-cran-r.utils, r-cran-rjava, r-cran-rcpp, r-cran-timedate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-joinxl_1.0.1-1.ca2004.1_all.deb
Size: 46776
MD5sum: 880a65a0b2eba4506a2d4cccaf4a96f1
SHA1: f1cd8498dbd11d3c8ed8499fc32099018cafdc96
SHA256: 23d1d4d7dc7357677436f8065ea3621e9bca2081e10592ff5021173283f8bd42
SHA512: 7183a3a096ea1823038c4954a469457d80ff1380716c8ae229bab0c836c258fdac0a5b550c4fc97094beaf13454ea98524632fbad624af98c97bba2e78f6b6a4
Homepage: https://cran.r-project.org/package=joinXL
Description: CRAN Package 'joinXL' (Perform Joins or Minus Queries on 'Excel' Files)
 Performs Joins and Minus Queries on 'Excel' Files fulljoinXL() Merges all
 rows of 2 'Excel' files based upon a common column in the files.
 innerjoinXL() Merges all rows from base file and join file when the join
 condition is met.  leftjoinXL() Merges all rows from the base file, and all
 rows from the join file if the join condition is met.  rightjoinXL() Merges
 all rows from the join file, and all rows from the base file if the join
 condition is met.  minusXL() Performs 2 operations source-minus-target and
 target-minus-source If the files are identical all output files will be
 empty.  Choose two 'Excel' files via a dialog box, and then follow prompts
 at the console to choose a base or source file and columns to merge or minus
 on.

Package: r-cran-joker
Architecture: all
Version: 0.14.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 914
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggh4x, r-cran-ggplot2, r-cran-matrix
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-joker_0.14.2-1.ca2004.1_all.deb
Size: 557352
MD5sum: e2156b0ca388d3c040242a810cd1fa23
SHA1: e707f045d07e1c7d9ddaf4e21d20a15822396ebb
SHA256: b67b2f0808fddaa2258c412d4f00e4db408105c1763dec12b1ef08a513bc0d44
SHA512: 2a17ad1294d3df18c8c15fb59056f4c5277a28f6d92f4baaa45be27cc06fa68f9df7a0b862c5a4a93ea5f0de5f376bc4b27d633726b1d2f617ab179fb393a120
Homepage: https://cran.r-project.org/package=joker
Description: CRAN Package 'joker' (Probability Distributions and Parameter Estimation)
 Implements an S4 distribution system and estimation methods for parameters
 of common distribution families. The common d, p, q, r function family for
 each distribution is enriched with the ll, e, and v counterparts, computing
 the log-likelihood, performing estimation, and calculating the asymptotic
 variance - covariance matrix, respectively. Parameter estimation is
 performed analytically whenever possible.

Package: r-cran-jops
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spats, r-cran-colorspace, r-cran-mass, r-cran-boot, r-cran-fds, r-cran-rpart, r-cran-ggplot2, r-cran-fields, r-cran-spam
Filename: pool/dists/focal/main/r-cran-jops_0.2.0-1.ca2004.1_all.deb
Size: 4639856
MD5sum: 29c118bacaff96bf3ede30d9f5e5232d
SHA1: c123f7daa6727b5203827d59dbc004a44c88570c
SHA256: 26cd2a21f6da8be259765d0c84284fa7617411de237cd4ad89e30d2f0ac0ad3f
SHA512: 7605e51559d8bd627de4d900d2a39dad19a211dee4b3b55a90850fc103a4aa94a3c0603ad22f3ac1ffbd8257e1ee005116ba1d06a5c08d13333d91c5116408d8
Homepage: https://cran.r-project.org/package=JOPS
Description: CRAN Package 'JOPS' (Practical Smoothing with P-Splines)
 Functions and data to reproduce all plots in the book "Practical Smoothing.
 The Joys of P-splines" by Paul H.C. Eilers and Brian D. Marx (2021,
 ISBN:978-1108482950).

Package: r-cran-jordan
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-onion, r-cran-matrix, r-cran-quadform
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jordan_1.0-6-1.ca2004.1_all.deb
Size: 738780
MD5sum: 4ea56f630471809705ff8e923024ef1c
SHA1: 53e30dc5f291d5a5a4219eb111312f91e066001e
SHA256: eb468fa83dc42d44f195c4976974240b8e43da4829caf27a08440912dd2abc01
SHA512: b73f079295ae1f4498bcd0ec07d7ac393c0131c4a30faecf315c36851a5f00be788f1187704cec0ef0c1fbc4abcff3562a6dcff07a88735112002ba63c22763b
Homepage: https://cran.r-project.org/package=jordan
Description: CRAN Package 'jordan' (A Suite of Routines for Working with Jordan Algebras)
 A Jordan algebra is an algebraic object originally designed to study
 observables in quantum mechanics.  Jordan algebras are commutative but
 non-associative; they satisfy the Jordan identity.  The package follows the
 ideas and notation of K. McCrimmon (2004, ISBN:0-387-95447-3) "A Taste of
 Jordan Algebras".  To cite the package in publications, please use Hankin
 (2023) <doi:10.48550/arXiv.2303.06062>.

Package: r-cran-josae
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Suggests: r-cran-lattice, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-josae_0.3.0-1.ca2004.1_all.deb
Size: 325260
MD5sum: a1843312814c4fe2c17db14ffb29466b
SHA1: e807224ca9c421073d7af998f2b27413fec68cfa
SHA256: 8db5fffe98d0d8c48ad3d5188b4019439ef96ab7e1554e120d2caf2978631715
SHA512: 13f0b8039f4aefb6e5fefa0d4359846351783937c373f229147a01dab8cd681b6b556040c449c6ac4a4f47d153a022bb125df9f020d305c5cb1890e4ba95863c
Homepage: https://cran.r-project.org/package=JoSAE
Description: CRAN Package 'JoSAE' (Unit-Level and Area-Level Small Area Estimation)
 Implementation of some unit and area level EBLUP estimators as well as the
 estimators of their MSE also under heteroscedasticity. The package further
 documents the publications Breidenbach and Astrup (2012)
 <DOI:10.1007/s10342-012-0596-7>, Breidenbach et al. (2016)
 <DOI:10.1016/j.rse.2015.07.026> and Breidenbach et al. (2018 in press). The
 vignette further explains the use of the implemented functions.

Package: r-cran-josaplay
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-utf8, r-cran-magrittr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-josaplay_0.1.3-1.ca2004.1_all.deb
Size: 17820
MD5sum: d62e9f5679d2e20b4892f880cf9dc7da
SHA1: 092c607895d8334f95f3b2544e37e5f8531cdb15
SHA256: 1ee958b129021078d7b159a396fbc679820718d34f72ceabb15b59ab28efe435
SHA512: f22221442225707f771b0be9cfff4f6dbb4635cb9c8f1b0941ce95107b7431638415cdc25221e298ea73d3e45904b0e0f49a38572ff92bedff3bcebecc456c1e
Homepage: https://cran.r-project.org/package=josaplay
Description: CRAN Package 'josaplay' (Add Josa Based on Previous Letter in Korean)
 Josa in Korean is often determined by judging the previous word.  When
 writing reports using Rmd, a function that prints the appropriate
 investigation for each case is helpful.  The 'josaplay' package then
 evaluates the previous word to determine which josa is appropriate.

Package: r-cran-jose
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openssl, r-cran-jsonlite
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jose_1.2.1-1.ca2004.1_all.deb
Size: 230992
MD5sum: 679d66353236dbe43420c481e4aae9f9
SHA1: 15a60742102a78a9e0e1a43b1bfeaf0d74ac84d1
SHA256: 5aaf634af9f20e37a068e27d91ace9348c929552c36361f784543cefb421b129
SHA512: 767c500723163274ea6ac170fd57cd082c15697bf7efb2d6937d4c8ab42e416c300fa761387b0850b1c4a87b503445be11631fc9ad56b8f57b3947c82eab5fbe
Homepage: https://cran.r-project.org/package=jose
Description: CRAN Package 'jose' (JavaScript Object Signing and Encryption)
 Read and write JSON Web Keys (JWK, rfc7517), generate and verify JSON Web
 Signatures (JWS, rfc7515) and encode/decode JSON Web Tokens (JWT, rfc7519)
 <https://datatracker.ietf.org/wg/jose/documents/>. These standards provide
 modern signing and encryption formats that are natively supported by
 browsers via the JavaScript WebCryptoAPI
 <https://www.w3.org/TR/WebCryptoAPI/#jose>, and used by services like OAuth
 2.0, LetsEncrypt, and Github Apps.

Package: r-cran-jot
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-jot_0.0.4-1.ca2004.1_all.deb
Size: 51224
MD5sum: 955f536fd031efd5d94dc48cb78a2019
SHA1: 56581c16b4f18926f6b49c1cff9191c2ad6cf0af
SHA256: 97eb48d706b238e330dcecd8df57005bb99149d1dbcdf79372d542367254ee0a
SHA512: ce9a960b0cc39db27366a510406c19eed9a4c16002c577e9904b1a5ab7178d43db5cb183f8162e16c3b3a1b70faaf3eaad64e07200b038acb38e78214efafe7a
Homepage: https://cran.r-project.org/package=jot
Description: CRAN Package 'jot' (Jot Down Values for Later)
 Reproducible work requires a record of where every statistic originated.
 When writing reports, some data is too big to load in the same environment
 and some statistics take a while to compute.  This package offers a way to
 keep notes on statistics, simple functions, and small objects.  Notepads can
 be locked to avoid accidental updates.  Notepads keep track of who added the
 notes and when the notes were added.  A simple text representation is used
 to allow for clear version histories.

Package: r-cran-journalabbr
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1805
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-purrr, r-cran-httr, r-cran-shiny, r-cran-tidytable, r-cran-stringi
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-rclipboard, r-cran-tinytex, r-cran-dt, r-cran-covr
Filename: pool/dists/focal/main/r-cran-journalabbr_0.4.3-1.ca2004.1_all.deb
Size: 1777484
MD5sum: 1559546c87fb55876f991997e1d450c7
SHA1: 4afe1da510beed2749c28f42eff77fde30b45693
SHA256: b8ea334284cab052a704711eb6b58864331d14aac4bd71fbec23ecabf972a7c0
SHA512: d51cfb5494c8168ab83c835a30d9893817453f05a2b351afc6d452d2e00cbf78b4ff5741c2295e7b4a5791204dba4b0ecb58c0695f40fb5611fd60da5720e142
Homepage: https://cran.r-project.org/package=journalabbr
Description: CRAN Package 'journalabbr' (Journal Abbreviations for BibTeX Documents)
 Since the reference management software (such as 'Zotero', 'Mendeley')
 exports Bib file journal abbreviation is not detailed enough, the
 'journalabbr' package only abbreviates the journal field of Bib file, and
 then outputs a new Bib file for generating reference format with journal
 abbreviation on other software (such as 'texstudio'). The abbreviation table
 is from 'JabRef'. At the same time, 'Shiny' application is provided to
 generate 'thebibliography', a reference format that can be directly used for
 latex paper writing based on 'Rmd' files.

Package: r-cran-joyn
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1011
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-data.table, r-cran-cli, r-cran-collapse, r-cran-lifecycle
Suggests: r-cran-badger, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-joyn_0.2.4-1.ca2004.1_all.deb
Size: 646700
MD5sum: 39916f24e517c6fa1dca9f003513f708
SHA1: 91e129cc1fac323c6afe0b851f4bc6aea0f250df
SHA256: c69a78e9e0a441cfa631c25e37b42ebf6dea2ab3d2736df34bb18d2eafb0fa67
SHA512: 2429a661600ab381e0997fd76f7fd4e165db3fa0b5ecfeaa857904048fc7277c7ce21d1d5c8c833b30990233fa5543b41230e44dfa1223c7c665466fa4cdbe6a
Homepage: https://cran.r-project.org/package=joyn
Description: CRAN Package 'joyn' (Tool for Diagnosis of Tables Joins and Complementary JoinFeatures)
 Tool for diagnosing table joins. It combines the speed of `collapse` and
 `data.table`, the flexibility of `dplyr`, and the diagnosis and features of
 the `merge` command in `Stata`.

Package: r-cran-jpcity
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 448
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jpcity_0.3.0-1.ca2004.1_all.deb
Size: 383496
MD5sum: e9c2326752762f299b8f0454878b517b
SHA1: 6fc8e4a28576ce134b1a88df8062669d477e952c
SHA256: 5e1322d96245893287475e91c4c606714c53398bdc1e822ada5b4b5f0fb07b08
SHA512: 46745c067c41f4317b3e1e98fcdfee613d1630767e3de87ecd1a66f799f04f9edfbb7459bc3746e626c43120cbca6df5b6366e7643dc7213a656260d84d1c229
Homepage: https://cran.r-project.org/package=jpcity
Description: CRAN Package 'jpcity' (Read and Convert Japanese Municipality Codes)
 Read Japanese city codes (<https://www.e-stat.go.jp/municipalities/cities>)
 to get city and prefecture names, or convert to city codes at different
 points in time. In addition, it merges or splits wards of designated cities
 and gets all city codes at a specific point in time.

Package: r-cran-jpen
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-jpen_1.0-1.ca2004.1_all.deb
Size: 38756
MD5sum: 8d88a2e9b703bb0b9665f439f6ff2352
SHA1: 73f7843f510e88b902d665f8bd711135205b90d6
SHA256: 4d5d7a3be22b7bd65ae1653bc55d4506ccbedbb25b3291120def45bba3092be7
SHA512: ed77c7f51bfdb3c62c3be38adfea98058171ee67855a27ab8c8bd84116048f117b5f6fa9cde3cda74c70af0e188cb312c10ec44d023bc187d47295dc2a8045ab
Homepage: https://cran.r-project.org/package=JPEN
Description: CRAN Package 'JPEN' (Covariance and Inverse Covariance Matrix Estimation Using JointPenalty)
 A Joint PENalty Estimation of Covariance and Inverse Covariance Matrices.

Package: r-cran-jpgrid
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-stars, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-units, r-cran-vctrs, r-cran-lifecycle, r-cran-pillar, r-cran-cli, r-cran-tidygraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jpgrid_0.4.0-1.ca2004.1_all.deb
Size: 479528
MD5sum: 360f65d9ee1772fc901f64f66b7f52f1
SHA1: 6315596e64e50d4f61373149363a4170d8ddcbef
SHA256: f75233a67d8bce2660c058ed26e818ecf9adf06d6cc5dc209f257d3a0910df26
SHA512: c30e89941d9d0a86d95e2250c0f4af4b2c7998fc96db2cc61424b2f2ddcf81f03c369a8470a2710dae80c5b5ffe251cac7ee46f03e5ba265abdb2484fa737eda
Homepage: https://cran.r-project.org/package=jpgrid
Description: CRAN Package 'jpgrid' (Functions for the Grid Square Codes in Japan)
 Provides functions for grid square codes in Japan
 (<https://www.stat.go.jp/english/data/mesh/index.html>).  Generates the grid
 square codes from longitude/latitude, geometries, and the grid square codes
 of different scales, and vice versa.

Package: r-cran-jpinfect
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3396
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-httr, r-cran-isoweek, r-cran-magrittr, r-cran-readr, r-cran-readxl, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jpinfect_0.1.2-1.ca2004.1_all.deb
Size: 2304004
MD5sum: 39dd738709639c6203c0e76480847a58
SHA1: c5a3bc48659e2528a255b8980097e3231cd2e9fd
SHA256: 62aba8a72a342b450330c1385084d4deaa8e41216fac3c1ef04dfeaf9b8d6b25
SHA512: 11cbd8975a8c18423c712b52f7da06bdf4b7b022aceb34f1be10cf1cd8be2c15526cee9dda9b36e0c6b7cb5764af78894a69f5788f565359c8dede21898c74a2
Homepage: https://cran.r-project.org/package=jpinfect
Description: CRAN Package 'jpinfect' (Acquiring and Processing Data from Japan Institute for HealthSecurity)
 Download and post process the infectious disease case data from Japan
 Institute for Health Security. Also the package included ready-to-analyse
 datasets. See the data source website for further details
 <https://id-info.jihs.go.jp/>.

Package: r-cran-jpmesh
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1880
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-memoise, r-cran-miniui, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-shiny, r-cran-tibble, r-cran-units, r-cran-magrittr, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-lintr, r-cran-lwgeom, r-cran-testthat, r-cran-rmarkdown, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-jpmesh_2.1.0-1.ca2004.1_all.deb
Size: 1308528
MD5sum: b66fead6cac11e7346d1edccbb2d5fb7
SHA1: ffdc0a74de33d12eddfc53c42b7502d158e1d798
SHA256: b0c8b72299d8daa47983151558a9b4fec325d88cab30e3e4ff025dbca92a432c
SHA512: d9d1a232c1e168c153df8dbc606338107bd0bca29816e00f425f26aa348e8822eb90cd8ab6fd768c4b16228ef2fe9e1afd69b3953492ad33bf3ad818710d1cda
Homepage: https://cran.r-project.org/package=jpmesh
Description: CRAN Package 'jpmesh' (Utilities for Japanese Mesh Code)
 Helpful functions for using mesh code (80km to 100m) data in Japan.
 Visualize mesh code using 'ggplot2' and 'leaflet', etc.

Package: r-cran-jpstat
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-navigatr, r-cran-lifecycle, r-cran-stickyr
Suggests: r-cran-keyring, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jpstat_0.4.0-1.ca2004.1_all.deb
Size: 107500
MD5sum: 0ac9040f56d2415694480dd1f3f8b9b3
SHA1: 2853e37ad3e539e514e5019ee5a04803f6d900f7
SHA256: 8f164fbdd08c1115d095f6c8f8d6c732ee5f889c6298c2ec2dfabed5d5658fe4
SHA512: 98cab57518fced00d2542c9e8767a5b59ccd4d4524d7c1c3d0426d2c32c0961c88ac8f062a37f6557dae5d2090425ddd282198846837e54e70e33bf6bf5ff961
Homepage: https://cran.r-project.org/package=jpstat
Description: CRAN Package 'jpstat' (Tools for Easy Use of 'e-Stat', 'RESAS' API, Etc)
 Provides tools to use API such as 'e-Stat' (<https://www.e-stat.go.jp/>),
 the portal site for Japanese government statistics, and 'RESAS' (Regional
 Economy and Society Analyzing System, <https://resas.go.jp>).

Package: r-cran-jpsurv
Architecture: all
Version: 3.0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-scales
Filename: pool/dists/focal/main/r-cran-jpsurv_3.0.20-1.ca2004.1_all.deb
Size: 1306668
MD5sum: 00fb68a576527f75ed8c90da4f4fdaa6
SHA1: f4b631955c039e26784d5f61463aa3dabe71c499
SHA256: 17bcd2d108f711f6eb4d4b30caa98801c9010eab20c1f1bfd0cfc22334c0f7d5
SHA512: ee8d19f74b391e5faf456195d1e79f7a0d7a6d8f73081fac3fd7285a97601e04f837bb5f0254aecca749efa186e936cf14d2756955fff98d3286cd92b62ad03c
Homepage: https://cran.r-project.org/package=JPSurv
Description: CRAN Package 'JPSurv' (Joinpoint Model for Relative and Cause-Specific Survival)
 Contains functions for fitting a joinpoint proportional hazards model to
 relative survival or cause-specific survival data, including estimates of
 joinpoint years at which survival trends have changed and trend measures in
 the hazard and cumulative survival scale. See Yu et al.(2009)
 <doi:10.1111/j.1467-985X.2009.00580.x>.

Package: r-cran-jqbr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny
Suggests: r-cran-bslib, r-cran-packer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jqbr_1.0.3-1.ca2004.1_all.deb
Size: 68752
MD5sum: c39ba950e25b73981ed3e6a79c085f53
SHA1: b6d3e57f0e68f7b8ced6708d2de9b4bbb61d2d6b
SHA256: dedbabfe381a056056c18850a3a0da55ba197d5ad8ae27280b4c94d87a538f1f
SHA512: 034b9b55f5a56c948de970cc9054cf9e78c69409ff271120c44341d2587aaf5fae74a8c7d44a36c686fb8210ae6a8fba4553de3cc92cf9307c6fe8d036370b5f
Homepage: https://cran.r-project.org/package=jqbr
Description: CRAN Package 'jqbr' ('jQuery QueryBuilder' Input for 'Shiny')
 A highly configurable 'jQuery' plugin offering a simple interface to create
 complex queries/filters in 'Shiny'. The outputted rules can easily be parsed
 into a set of 'R' and/or 'SQL' queries and used to filter data. Custom
 parsing of the rules is also supported.  For more information about 'jQuery
 QueryBuilder' see <https://querybuilder.js.org/>.

Package: r-cran-jql
Architecture: all
Version: 3.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-pdist, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-jql_3.6.9-1.ca2004.1_all.deb
Size: 50640
MD5sum: 7cba8a5017367aea11b7b8dc4babd092
SHA1: c42af03df21d774b4d620dde257badb833821b64
SHA256: c63b0e508a71d6b55afa088367be68f59c3c6d636c3b0b9f270c81020484fb4d
SHA512: f2d805b02454c301881a891db616147bbac5be6bf1c3d9011a80d76b0eed1f38492ebdb938c0b3e69dd345ce0efe1a86f093a37cd65f9058bd2d6d33e27d5c00
Homepage: https://cran.r-project.org/package=JQL
Description: CRAN Package 'JQL' (Jump Q-Learning for Individualized Interval-Valued Dose Rule)
 We provide tools to estimate the individualized interval-valued dose rule
 (I2DR) that maximizes the expected beneficial clinical outcome for each
 individual and returns an optimal interval-valued dose, by using the jump
 Q-learning (JQL) method. The jump Q-learning method directly models the
 conditional mean of the response given the dose level and the baseline
 covariates via jump penalized least squares regression under the framework
 of Q learning. We develop a searching algorithm by dynamic programming in
 order to find the optimal I2DR with the time complexity O(n2) and spatial
 complexity O(n). To alleviate the effects of misspecification of the
 Q-function, a residual jump Q-learning is further proposed to estimate the
 optimal I2DR. The outcome of interest includes the best partition of the
 entire dosage of interest, the regression coefficients of each partition,
 and the value function under the estimated I2DR as well as the Wald-type
 confidence interval of value function constructed through the Bootstrap.

Package: r-cran-jquerylib
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1556
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jquerylib_0.1.4-1.ca2004.1_all.deb
Size: 283308
MD5sum: c74ffb2670c426f752537f47e93f5646
SHA1: 923e20e292c84437f04554d2690499bd3c7e7efb
SHA256: 763da4a156ff768b602ae7c944adbf3ae6e62951c9123b3c2e066a9e1813b148
SHA512: 589c2648e08619c14f7363ea0fc12327ac44c6eb701318cd0a7b3be997a57fe90d6e1b87111f3db180bacc11bb21d34f37a3cbfb1928eac83269f12b92d362b8
Homepage: https://cran.r-project.org/package=jquerylib
Description: CRAN Package 'jquerylib' (Obtain 'jQuery' as an HTML Dependency Object)
 Obtain any major version of 'jQuery' (<https://code.jquery.com/>) and use it
 in any webpage generated by 'htmltools' (e.g. 'shiny', 'htmlwidgets', and
 'rmarkdown').  Most R users don't need to use this package directly, but
 other R packages (e.g. 'shiny', 'rmarkdown', etc.) depend on this package to
 avoid bundling redundant copies of 'jQuery'.

Package: r-cran-jrc
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httpuv, r-cran-jsonlite, r-cran-stringr, r-cran-stringi, r-cran-mime, r-cran-r6, r-cran-r.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jrc_0.6.0-1.ca2004.1_all.deb
Size: 171800
MD5sum: c1fde05d52975b33a5708485ab020553
SHA1: af9548fbdb93dd4df70c9bfd0ba826e3ae1bd281
SHA256: a41836ab805985f3ec6d414764703f2f7ddf4bd9b530e2c4ed99695e52520323
SHA512: 9b1e95498613e6a63c355d5f5cb26ec8a05029b83836d952fbd1444580b08fc4e42bc04d75e61b281b4815fbbeeaf826e2d84191a2cb51a24a2810c026590ab2
Homepage: https://cran.r-project.org/package=jrc
Description: CRAN Package 'jrc' (Exchange Commands Between R and 'JavaScript')
 An 'httpuv' based bridge between R and 'JavaScript'. Provides an easy way to
 exchange commands and data between a web page and a currently running R
 session.

Package: r-cran-jrich
Architecture: all
Version: 0.60-35-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Filename: pool/dists/focal/main/r-cran-jrich_0.60-35-1.ca2004.1_all.deb
Size: 603184
MD5sum: 9fc3616b550de8275dfc14c355ab9383
SHA1: 7bc5f0ad83a14801d11498bce94e6830535adb89
SHA256: 360015aefcc8410c91d06d3c18d4043fec452e7f054b79a16166afade4aa8295
SHA512: 7f3fdeaa24c5e74abca2a7705077563853763c8058c05872a272135a8578fe0c4927bf11a7e45d7a6162f7177ebfe56ba1d4935e8723ed3906d311021abeea10
Homepage: https://cran.r-project.org/package=jrich
Description: CRAN Package 'jrich' (Jack-Knife Support for Evolutionary Distinctiveness Indices Iand W)
 These functions calculate the taxonomic measures presented in
 Miranda-Esquivel (2016).  The package introduces Jack-knife resampling in
 evolutionary distinctiveness prioritization analysis, as a way to evaluate
 the support of the ranking in area prioritization, and the persistence of a
 given area in a conservation analysis.  The algorithm is described in:
 Miranda-Esquivel, D (2016) <DOI:10.1007/978-3-319-22461-9_11>.

Package: r-cran-jrt
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-directlabels, r-cran-mirt, r-cran-psych, r-cran-irr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggsci
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jrt_1.1.2-1.ca2004.1_all.deb
Size: 3058644
MD5sum: f4a42b0393d3a365ba7a7be9565d0013
SHA1: 3b70c647b3e0b3517b2b23d988382187ddf7edb1
SHA256: ee618d5b7a69d1ac1c959c43ef5885d2cc9e6b3a961daccf47fc95cd97f5a1ae
SHA512: 6f2083a885f141e0cb0e90edfa58475caaa33943827e47cd13bcd777c18a07e4234420099e615fc1938c62618179f6cee95e47c3e5573d90d66beed524c56fda
Homepage: https://cran.r-project.org/package=jrt
Description: CRAN Package 'jrt' (Item Response Theory Modeling and Scoring for Judgment Data)
 Psychometric analysis and scoring of judgment data using polytomous
 Item-Response Theory (IRT) models, as described in Myszkowski and Storme
 (2019) <doi:10.1037/aca0000225> and Myszkowski (2021)
 <doi:10.1037/aca0000287>. A function is used to automatically compare and
 select models, as well as to present a variety of model-based statistics.
 Plotting functions are used to present category curves, as well as
 information, reliability and standard error functions.

Package: r-cran-jrvfinance
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jrvfinance_1.4.3-1.ca2004.1_all.deb
Size: 100524
MD5sum: 97830f22ce387857ca2b3b7c2f640420
SHA1: 5d7c3ea1a8c98f8b9114fbd871f2759fc0bfb1ff
SHA256: de11c45ff967369d4826cdeec41cd377b40c0da58626b01845fec80b2af0a085
SHA512: 263959d5fab1a7681cc02f1c5f333d30da4501c6d55a675d7bdb4abaf4aaedbe1aeff973918e269044a457b19889f9e1c2cc2b1695848581d5273d8ef43547d5
Homepage: https://cran.r-project.org/package=jrvFinance
Description: CRAN Package 'jrvFinance' (Basic Finance; NPV/IRR/Annuities/Bond-Pricing; Black Scholes)
 Implements the basic financial analysis functions similar to (but not
 identical to) what is available in most spreadsheet software. This includes
 finding the IRR and NPV of regularly spaced cash flows and annuities. Bond
 pricing and YTM calculations are included. In addition, Black Scholes option
 pricing and Greeks are also provided.

Package: r-cran-js
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1973
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-v8
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-js_1.2.1-1.ca2004.1_all.deb
Size: 412128
MD5sum: 5a11bb251a68b27bfd5214b9f53f0b54
SHA1: d88a129d8bf2ed5468c06e04e30d3c5176fbad27
SHA256: c24360c0db1d81cde104fac91d3076779f6fa7382eefcd9d2527a80d4ee787c9
SHA512: f3a0467d69f458c03bcc841adb4b7a4599c9558ef75dde56162a7f96e1f3c0dfb3569c9dab0d5151ae148fda772b85587f676e712b0812ebdc244b4a74675934
Homepage: https://cran.r-project.org/package=js
Description: CRAN Package 'js' (Tools for Working with JavaScript in R)
 A set of utilities for working with JavaScript syntax in R.  Includes tools
 to parse, tokenize, compile, validate, reformat, optimize and analyze
 JavaScript code.

Package: r-cran-jsconsole
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-jsconsole_0.1.0-1.ca2004.1_all.deb
Size: 10460
MD5sum: 618d874b94696ef04b7c5fd8a91322ce
SHA1: 2d8052a442f911b2ce0aa76474f86da44f09700a
SHA256: 8989437b8ded341b9719e8abe8b511d8fcd7018affea0578598018c8fe4379dd
SHA512: 884394ac100d865d81e68734e4940d245cb2a1074464d89e7e19877f773b084293af8a7059cf713beae8fb645b6acd9d5f8927ecf946631ef7ac6cd8017a5cb7
Homepage: https://cran.r-project.org/package=JSconsole
Description: CRAN Package 'JSconsole' (A 'RStudio' Addin to Send 'JavaScript' Code to the 'V8' Console)
 Provides a 'RStudio' addin to send some 'JavaScript' code to the 'V8'
 console. The user can send an entire 'JavaScript' file or only some selected
 lines. This is useful to test the code.

Package: r-cran-jscore
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jscore_0.1.0-1.ca2004.1_all.deb
Size: 14908
MD5sum: 811567d079715b48b4df9c542286774c
SHA1: 4e2dac31e5aae59ce673aa4e8cb06b5e4688767c
SHA256: a51f397231af0e4f0729df002fd7b30efeb04fff583982567d254782b37a38eb
SHA512: e7d0dbff269f8783a5f579488a50f8eaff15c44e9d0b745d25032912a36ca087c3b8a432ec452154d803fc3194acb696d4787d860295ac2b7f657d2dc15285cf
Homepage: https://cran.r-project.org/package=jScore
Description: CRAN Package 'jScore' (Calculates the j-Score Between Two Clustering Assignments)
 The jscore() function in the package calculates the J-Score metric between
 two clustering assignments. The score is designed to address some problems
 with existing common metrics such as problem of matching. The details of
 J-score is described in Ahmadinejad and Liu. (2021) <arXiv:2109.01306>.

Package: r-cran-jsdne
Architecture: all
Version: 4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-molar, r-cran-nnet, r-cran-rvcg
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jsdne_4.5-1.ca2004.1_all.deb
Size: 622960
MD5sum: 6b61acedccffd88e09f7e546c81c8a03
SHA1: d1d929b212cef72e453638db12c0522a1ce51816
SHA256: 4f67a59b9ce2a1605e9082716f1fe8aa69973881330fbc578a6cf1b4a7167020
SHA512: 6ca4c12d3fe3cb65198c03fc6e73f794f446fbc270f60572a49aa9b5cf618189c3d9d2f23b220dfe45cf01ac584d20179913517dfe71fd3f4cb02f5ea219ebdb
Homepage: https://cran.r-project.org/package=JSDNE
Description: CRAN Package 'JSDNE' (Estimating the Age using Auricular Surface by DNE)
 The age is estimated by calculating the Dirichlet Normal Energy (DNE) on the
 whole auricular surface and the apex of the auricular surface. It involves
 three estimation methods: principal component discriminant analysis (PCQDA),
 and principal component logistic regression analysis (PCLR) methods,
 principal component regression analysis with Southeast Asian (A_PCR), and
 principal component regression analysis with multipopulation (M_PCR). The
 package is created with the data from the Louis Lopes Collection in Lisbon,
 the 21st Century Identified Human Remains Collection in Coimbra, and the CAL
 Milano Cemetery Skeletal Collection in Milan, and the skeletal collection at
 Khon Kaen University (KKU) Human Skeletal Research Centre (HSRC), housed in
 the Department of Anatomy in the Faculty of Medicine at KKU in Khon Kaen.

Package: r-cran-jshintr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1309
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-jshintr_0.1.0-1.ca2004.1_all.deb
Size: 189012
MD5sum: 33515b8a19e6583a7df8ca7043aae538
SHA1: 38e0a41e8af008e18874cdf24beeb2ed9d96e70d
SHA256: 911f56f1af29da728379c0494bbc899b7e7663b5f5a608726f1b5af3630638ff
SHA512: 66eb6a15abff726b5e5dfce9a262ac96b155191a237904d2c02c401972e92f83dbadab72d77a10cca6fee760baaf7fbca9ed53081f81934482a33e1b2d0a8713
Homepage: https://cran.r-project.org/package=jshintr
Description: CRAN Package 'jshintr' (Lint 'JavaScript' Files)
 Allow to run 'jshint' on 'JavaScript' files with a 'R' command or a
 'RStudio' addin. The report appears in the 'RStudio' viewer pane.

Package: r-cran-jskm
Architecture: all
Version: 0.5.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1074
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-survival, r-cran-survey, r-cran-scales, r-cran-patchwork, r-cran-cmprsk
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jskm_0.5.13-1.ca2004.1_all.deb
Size: 844660
MD5sum: 44eac9bdb47da9a8d85b1cb8e9c957d5
SHA1: eb1a39a5e64f77c7d42565940f725c0df4af7798
SHA256: 5a567ef1783c0beb17458e9732639d64151db85c5cd5a659a548493f0947590b
SHA512: 533d99e3bac360f11b7b52cfce3d7a7b0fba9ff27f5206f6dfc32e973221934a6b6b779f8f7cfd233e1a3deeee62e6d4209d5b786e1a3a10e514c7774bc8c90a
Homepage: https://cran.r-project.org/package=jskm
Description: CRAN Package 'jskm' (Kaplan-Meier Plot with 'ggplot2')
 The function 'jskm()' creates publication quality Kaplan-Meier plot with at
 risk tables below. 'svyjskm()' provides plot for weighted Kaplan-Meier
 estimator.

Package: r-cran-jsmediation
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-knitr, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-lavaan, r-cran-markdown, r-cran-mediation, r-cran-patchwork, r-cran-performance, r-cran-rmarkdown, r-cran-roxygen2, r-cran-see, r-cran-stringr, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-jsmediation_0.2.3-1.ca2004.1_all.deb
Size: 335764
MD5sum: 80944f5c033d2095fdd700e5ea6ea3e6
SHA1: 51efce843371a72d15ffe8e9b421a1b9bdded61f
SHA256: 5b951792c7c171f18292002fdadc49746844af64e7190a799882d239d5382180
SHA512: a4039c32dd3149af2c3b1caddbc82035f65ed442ae4d3d49ce25970bc998fcc771849053d174db04cea4376c2726004d53227fca1a867e02b2ec5f97411a2490
Homepage: https://cran.r-project.org/package=JSmediation
Description: CRAN Package 'JSmediation' (Mediation Analysis Using Joint Significance)
 A set of helper functions to conduct joint-significance tests for mediation
 analysis, as recommended by Yzerbyt, Muller, Batailler, & Judd. (2018)
 <doi:10.1037/pspa0000132>.

Package: r-cran-jsmodule
Architecture: all
Version: 1.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4178
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dt, r-cran-epidisplay, r-cran-flextable, r-cran-forestploter, r-cran-geepack, r-cran-ggally, r-cran-ggplot2, r-cran-bslib, r-cran-ggpubr, r-cran-haven, r-cran-hmisc, r-cran-jskm, r-cran-jstable, r-cran-labelled, r-cran-matchit, r-cran-maxstat, r-cran-officer, r-cran-proc, r-cran-purrr, r-cran-rcolorbrewer, r-cran-readr, r-cran-readxl, r-cran-rstudioapi, r-cran-rvg, r-cran-scales, r-cran-see, r-cran-shiny, r-cran-shinycustomloader, r-cran-shinyjs, r-cran-shinywidgets, r-cran-survey, r-cran-survidinri, r-cran-survival, r-cran-timeroc, r-cran-ggrepel, r-cran-htmltools, r-cran-riskregression
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jsmodule_1.6.9-1.ca2004.1_all.deb
Size: 3227004
MD5sum: 7d6ec5d5b7e24539073420acedca8829
SHA1: 37aa00554b951b21c44f4a061f2b3184ae0cc9c3
SHA256: 3b1f83959d1dee6bd33ce472e70bb3101250369062ecbe54891b9c0d0d124d59
SHA512: 95a7988424b8090eaf0fb9f325ba7e1006d6e2014aeedc1ef1ec005228c849b48bd93b7a986ff62187090b32004e12a90245e72a3637f48a24740c855824bbd9
Homepage: https://cran.r-project.org/package=jsmodule
Description: CRAN Package 'jsmodule' ('RStudio' Addins and 'Shiny' Modules for Medical Research)
 'RStudio' addins and 'Shiny' modules for descriptive statistics, regression
 and survival analysis.

Package: r-cran-json2args
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-json2args_0.3.0-1.ca2004.1_all.deb
Size: 12040
MD5sum: 05d6ab3d8f1e1654688b632a2ddadf7f
SHA1: 71e908c9a421552062d305805bcac4fcdb759a75
SHA256: bb32808911f841a6f1bb8186a5400407c6023753e8c7ad798178b36adea51544
SHA512: 53e4419bef0985cbab86d5b6db24bb20ef9a9d242e90826dac5f89410708693e76a1f11c8a2f31394976f581a9f881baeef095bfc5d537064d6859bdc1c9187b
Homepage: https://cran.r-project.org/package=json2aRgs
Description: CRAN Package 'json2aRgs' (Parse Parameters Inside a Docker Container)
 The function get_parameters() is intended to be used within a docker
 container to read keyword arguments from a .json file automagically. A
 tool.yaml file contains specifications on these keyword arguments, which are
 then passed as input to containerized R tools in the [tool-runner
 framework](<https://github.com/hydrocode-de/tool-runner>). A template for a
 containerized R tool, which can be used as a basis for developing new tools,
 is available at the following URL:
 <https://github.com/VForWaTer/tool_template_r>.

Package: r-cran-json64
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-json64_0.1.3-1.ca2004.1_all.deb
Size: 13408
MD5sum: aee625102803e511d1818b00a8c6e64d
SHA1: 9b823c532dfcb8ae97d109596f92308e84f437d3
SHA256: c1b8a95d6d3bfca32413c890e181d5fd4bd76220546a1b9320871baf676f5302
SHA512: 223928ecc770705ca332dd896eda03b81a40f3589e57a434002391e4b343482672404aa400c58aeb43600865a46f912387323fd57dc86b255a8eb1e70f2d54f6
Homepage: https://cran.r-project.org/package=json64
Description: CRAN Package 'json64' (A 'Base64' Encode/Decode Package with Support for JSONOutput/Input and UTF-8)
 Encode/Decode 'base64', with support for JSON format, using two functions:
 j_encode() and j_decode().  'Base64' is a group of similar binary-to-text
 encoding schemes that represent binary data in an ASCII string format by
 translating it into a radix-64 representation, used when there is a need to
 encode binary data that needs to be stored and transferred over media that
 are designed to deal with textual data, ensuring that the data will remain
 intact and without modification during transport.
 <https://developer.mozilla.org/en-US/docs/Web/API/WindowBase64/Base64_encoding_and_decoding>
 On the other side, JSON (JavaScript Object Notation) is a lightweight
 data-interchange format. Easy to read, write, parse and generate. It is
 based on a subset of the JavaScript Programming Language. JSON is a text
 format that is completely language independent but uses conventions that are
 familiar to programmers of the C-family of languages, including C, C++, C#,
 Java, JavaScript, Perl, Python, and many others. JSON structure is built
 around name:value pairs and ordered list of values. <https://www.json.org>
 The first function, j_encode(), let you transform a data.frame or list to a
 'base64' encoded JSON (or JSON string).  The j_decode() function takes a
 'base64' string (could be an encoded JSON) and transform it to a data.frame
 (or list, depending of the JSON structure).

Package: r-cran-jsonarr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-jsonarr_1.1.1-1.ca2004.1_all.deb
Size: 39000
MD5sum: dd36884bbf61e1c1e62501105b22f5c3
SHA1: 8a8b8076e0aab69d0b9f93e75ccee56873b3d2b3
SHA256: 63ed8cdd3c175b56986f7f3dfaeb4c267c569ee4ed694713a93a6dc6956c9ff8
SHA512: 40fe615d7da944101ec3499ae542c3ced67591dfab913165652edfbfe0571690ca2c334fcba69516ede69a60f51e150b6265ed0572d74807a1885c64b65b6287
Homepage: https://cran.r-project.org/package=jSonarR
Description: CRAN Package 'jSonarR' (jSonar Analytics Platform API for R)
 This package enables users to access MongoDB by running queries and
 returning their results in R data frames. Usually, data in MongoDB is only
 available in the form of a JSON document. jSonarR uses data processing and
 conversion capabilities in the jSonar Analytics Platform and the JSON Studio
 Gateway (http://www.jsonstudio.com), to convert it to a tabular format which
 is easy to use with existing R packages.

Package: r-cran-jsonld
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-v8, r-cran-jsonlite, r-cran-curl
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-jsonld_2.2.1-1.ca2004.1_all.deb
Size: 71716
MD5sum: 5d5e354709bd2a3b314347a734ad2265
SHA1: c25d0db71c5fb48a75c3d3b5b36c163b6102e898
SHA256: e47beb3874dfd59a56f3f3e9e7eac3884cca6cb1f7d36a18617f735bef9d5c58
SHA512: a7f4dc2de28639f067dfaaad03562d6aa89a2c11044cdfdb7c1136c6507491d6807a0e92e06d9e9d7462d257fb9a909481dc6e87b971198753dc9a143eec3978
Homepage: https://cran.r-project.org/package=jsonld
Description: CRAN Package 'jsonld' (JSON for Linking Data)
 JSON-LD <https://www.w3.org/TR/json-ld/> is a light-weight syntax for
 expressing linked data. It is primarily intended for web-based programming
 environments, interoperable web services and for storing linked data in
 JSON-based databases. This package provides bindings to the JavaScript
 library for converting, expanding and compacting JSON-LD documents.

Package: r-cran-jsonnormalize
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rstudioapi, r-cran-v8
Filename: pool/dists/focal/main/r-cran-jsonnormalize_1.0.0-1.ca2004.1_all.deb
Size: 18208
MD5sum: ca332ea91e5384bb3386dbc0efd84950
SHA1: 2eb660fb1366f17b9e30f78c0f770cfd81e97da9
SHA256: 02328fc3acd272c4d01d07f049daf75c8b2112247034dd940bcb47be0bd706b9
SHA512: a70299e06990c74918712673d6a4adc226a0227b747c12a87e6eb32aead663be251adf9f4f91afb80ede908028f857cdb87c785e6bcd7be0fd445cacdb96c1ac
Homepage: https://cran.r-project.org/package=jsonNormalize
Description: CRAN Package 'jsonNormalize' (Normalization of 'JSON' Strings)
 Provides a function allowing to normalize a 'JSON' string, for example by
 adding double quotes around the keys when they are missing. Also provides
 'RStudio' addins for the same purpose.

Package: r-cran-jsonstat
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jsonstat_0.0.2-1.ca2004.1_all.deb
Size: 74660
MD5sum: fc2ccf1ce449e08c82407fdeddd4ab17
SHA1: 4d1dcb4339b7250c27537e01cf3fbba9cbfb11e5
SHA256: 094227b0dd1fbc6e61f29329a4b05e52f580b41a3e6e9d957703482b1958275c
SHA512: ade4b5788451e4924bd2252b08841112c59b23b499009c3b2516c70ae7bc6cd3204d8287360c92f4dc9f3e1d7617369bf362d7114a75a432eb5ef58290cff950
Homepage: https://cran.r-project.org/package=jsonstat
Description: CRAN Package 'jsonstat' (Interface to 'JSON-stat')
 Interface to 'JSON-stat' <https://json-stat.org/>, a simple lightweight
 'JSON' format for data dissemination.

Package: r-cran-jsontools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bit64, r-cran-dbi, r-cran-glue, r-cran-jsonlite, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-rsqlite, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs, r-cran-withr
Suggests: r-cran-curl, r-cran-dplyr, r-cran-knitr, r-cran-repurrrsive, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jsontools_0.1.0-1.ca2004.1_all.deb
Size: 156192
MD5sum: 5ec60df626e8d5dc5a015c439b80404e
SHA1: 6b9e60ca1f92ad16a13672037c7db2f3bddc1ddc
SHA256: 41f480010645cbc0baf3d8f1765645000669509bb2f0abf5183dd081f4153689
SHA512: 9ca243498ac0b7581506ecfce2d30a6ea1112f7f52801e5c05e7b32f3dae84279445ca657b4c2b6c1321775188e14d47976169ae2a3b6ca88ace0160aec01ab7
Homepage: https://cran.r-project.org/package=jsontools
Description: CRAN Package 'jsontools' (Working with JSON Vectors)
 A toolbox for working with JSON vectors similar to the functions 'Postgres'
 provides to work with JSON columns. It supports in parsing and formatting
 JSON, extracting data from JSON, and modifying JSON data.

Package: r-cran-jsonvalidate
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-v8
Suggests: r-cran-knitr, r-cran-jsonlite, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-jsonvalidate_1.5.0-1.ca2004.1_all.deb
Size: 156388
MD5sum: b8a14fccdf6b638c90340ad6bad6819f
SHA1: 40b9a1a499025f302670719857d22d7f7d254c93
SHA256: 49c3f39ad024275d6a2ddb947570712a42e7bde7e77e2cfd083281b743bfdc31
SHA512: 861c833a92934b4caf65d8813db92d54808b62743b84aa684ac1d8fa77aa0f237b7d986f46bb4c146a0882223e2165bc7e6e7f2067f03267a70f0b800a213ada
Homepage: https://cran.r-project.org/package=jsonvalidate
Description: CRAN Package 'jsonvalidate' (Validate 'JSON' Schema)
 Uses the node library 'is-my-json-valid' or 'ajv' to validate 'JSON' against
 a 'JSON' schema.  Drafts 04, 06 and 07 of 'JSON' schema are supported.

Package: r-cran-jsparo
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-jsparo_1.5.0-1.ca2004.1_all.deb
Size: 53964
MD5sum: 6434c30d1a3d92703913f5bc41b87530
SHA1: d312e69b935b6792f40601702cbb90aa1cb5d65a
SHA256: 12163b02cff93d68b45ed16f003e4f9e10a1ffaa8436d1c6c500c66c7881fca2
SHA512: dedfbb8b38b61cdd05645b57a33858adf03046ab8e9acd66875ee2f3bf6adbc6a58fe49d02826465dfafc6dd50626b674c3dcc3e54aafa07597598b2d5a74b62
Homepage: https://cran.r-project.org/package=JSparO
Description: CRAN Package 'JSparO' (Joint Sparse Optimization via Proximal Gradient Method for CellFate Conversion)
 Implementation of joint sparse optimization (JSparO) to infer the gene
 regulatory network for cell fate conversion. The proximal gradient method is
 implemented to solve different low-order regularization models for JSparO.

Package: r-cran-jstable
Architecture: all
Version: 1.3.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1079
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geepack, r-cran-lme4, r-cran-data.table, r-cran-labelled, r-cran-tableone, r-cran-coxme, r-cran-survival, r-cran-survey, r-cran-dplyr, r-cran-purrr, r-cran-magrittr, r-cran-tibble, r-cran-rlang, r-cran-car, r-cran-lmertest, r-cran-nortest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jstable_1.3.12-1.ca2004.1_all.deb
Size: 805900
MD5sum: 1f9596549f8194283c0bc931a8e0a4fa
SHA1: c41c1a8c8c2a169cdadd71cde92fb022f0d80aac
SHA256: 7699eafbd0fb94085c3788b6cc1850dfe70e1d936ff41e03afe964d6629e85ea
SHA512: b3d1325bed31a785589c1b5e83fd282c741479bd0424583c5f21426e29dd69b136e92eae1bcbd8862456748787de4a7aff550e1d6c71d092fce43bb3fea182e4
Homepage: https://cran.r-project.org/package=jstable
Description: CRAN Package 'jstable' (Create Tables from Different Types of Regression)
 Create regression tables from generalized linear model(GLM), generalized
 estimating equation(GEE), generalized linear mixed-effects model(GLMM), Cox
 proportional hazards model, survey-weighted generalized linear model(svyglm)
 and survey-weighted Cox model results for publication.

Package: r-cran-jstager
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-rvest, r-cran-chromote, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-openxlsx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jstager_0.0.6-1.ca2004.1_all.deb
Size: 53604
MD5sum: 516a7b29665d40137e9df477e07d08bd
SHA1: fac1e61c626b0025ff1df7585c0e6598d521ab15
SHA256: cdd3665b689ec20061ca78488c7b8b1e785bdbfcfa7d740c7ec9d337989cf59b
SHA512: 18bfb25203a28acc6c4e847f69ffc07e44d1332128bdb3819469b768dd465989347ab520143c0789041fc4e7479b09af786689799a1ebd3fc7472621b97590b0
Homepage: https://cran.r-project.org/package=jstager
Description: CRAN Package 'jstager' (Retrieve Information Published on J-STAGE)
 Provides tools to access the J-STAGE WebAPI and retrieve information
 published on J-STAGE <https://www.jstage.jst.go.jp/browse/-char/ja>.

Package: r-cran-jstor
Architecture: all
Version: 0.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 736
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-xml2, r-cran-magrittr, r-cran-stringr, r-cran-readr, r-cran-tibble, r-cran-rlang, r-cran-furrr, r-cran-pryr, r-cran-crayon, r-cran-cli
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-future
Filename: pool/dists/focal/main/r-cran-jstor_0.3.11-1.ca2004.1_all.deb
Size: 488348
MD5sum: de774316fbfcf16f77d1e2813d1f3c54
SHA1: 0909b8ec41102c050184b2002f0c6216b953668b
SHA256: d156458347a911239eb3aea6c18380147f74342b43b64552a2e20c94e6600a91
SHA512: 6caeee1164995863c214c76fb90a8e07b1adedc688b726bb1a7b064f57597d8fd561d0d8da90c4b1497579e83a033b2a41f0ca779963cd379c836ccbdb1db3ed
Homepage: https://cran.r-project.org/package=jstor
Description: CRAN Package 'jstor' (Read Data from JSTOR/DfR)
 Functions and helpers to import metadata, ngrams and full-texts delivered by
 Data for Research by JSTOR.

Package: r-cran-jstree
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-htmltools, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-jstree_1.2-1.ca2004.1_all.deb
Size: 1020984
MD5sum: c629858ee93f7d5e10662478a5995005
SHA1: 23e54907991c4635ea777f59bb5dc3491bdbdf2d
SHA256: 55fddecafc228ea7f9720f9ba1eb1508d3e88886639eb6f62ec5a15ae141aa54
SHA512: ae2fdaff6ed0f886102810594861bd6c98b8609acc3071b2c2a32b21be3a710a284d1fc8cda116289261d63897565a34cfe98c9266098a13bb406ba4f86487c2
Homepage: https://cran.r-project.org/package=jsTree
Description: CRAN Package 'jsTree' (Create Interactive Trees with the 'jQuery' 'jsTree' Plugin)
 Create and customize interactive trees using the 'jQuery' 'jsTree'
 <https://www.jstree.com/> plugin library and the 'htmlwidgets' package.
 These trees can be used directly from the R console, from 'RStudio', in
 Shiny apps and R Markdown documents.

Package: r-cran-jstreer
Architecture: all
Version: 2.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2901
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-fontawesome, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jquerylib, r-cran-miniui, r-cran-r.utils, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyace
Suggests: r-cran-jsonlite, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-jstreer_2.6.0-1.ca2004.1_all.deb
Size: 723920
MD5sum: 5861a0dd0915e9b5922e5cd4b7b9c68c
SHA1: 8b36e7a869fa7056b1cbe8c8d77ecf05f9938486
SHA256: bf9af3a3709d025cc01d9f4b5188bfcc347f8d252f06dff0512426a08edd406f
SHA512: 31c59531fa277535e4753028af7d306d36925f14a8066a1a0b44b2ae64dfe7874ab6cbd1cc687cbcf7ce0780045364ab3914e7207a32e0f9dea6f76b3df51ca1
Homepage: https://cran.r-project.org/package=jsTreeR
Description: CRAN Package 'jsTreeR' (A Wrapper of the JavaScript Library 'jsTree')
 Creates interactive trees that can be included in 'Shiny' apps and R
 markdown documents. A tree allows to represent hierarchical data (e.g. the
 contents of a directory). Similar to the 'shinyTree' package but offers more
 features and options, such as the grid extension, restricting the
 drag-and-drop behavior, and settings for the search functionality. It is
 possible to attach some data to the nodes of a tree and then to get these
 data in 'Shiny' when a node is selected. Also provides a 'Shiny' gadget
 allowing to manipulate one or more folders, and a 'Shiny' module allowing to
 navigate in the server side file system.

Package: r-cran-jsuparameters
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jsuparameters_1.0.0-1.ca2004.1_all.deb
Size: 30032
MD5sum: 1ddbfb7de31a2b5c0163aa1a92b076db
SHA1: 3048f3e15b3ad50603d37b942ae07ac94c998777
SHA256: 121dd87b357f18dee8793a8c0a5219664ef29c5b86955aa5967571248e5a2279
SHA512: 52a6db5e0f327a9ef81dd92b2b9f96bfbedd4e65d6f0cafb96cd1b881fbf8d3fe54b07e521f68f19e08312df3032e73f934fd3b57c8ea45458ae78f596307357
Homepage: https://cran.r-project.org/package=JSUparameters
Description: CRAN Package 'JSUparameters' (Estimate Parameters of the Best-Fitting JohnsonSU Distribution)
 Uses least squares optimisation to estimate the parameters of the
 best-fitting JohnsonSU distribution for a given dataset, with the
 possibility of the distributions corresponding to the limiting cases of the
 JohnsonSU distribution. The code for the Golden Section Search used in the
 optimisation has been adapted from E. Cai. This package has been created as
 an extension of my Master's thesis. E. Cai (2013, "Scripts and Functions:
 Using R to Implement the Golden Section Search Method for Numerical
 Optimization",
 <https://chemicalstatistician.wordpress.com/2013/04/22/using-r-to-implement-the-golden-bisection-method/>).

Package: r-cran-jtdm
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2069
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggforce, r-cran-mniw, r-cran-mvtnorm, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-jtdm_0.1-3-1.ca2004.1_all.deb
Size: 1666732
MD5sum: 41eec2e78f63df6fcde1df1a2511bacc
SHA1: a06b74bf36c0a1d67b89f6a1e57106db8c60fbc2
SHA256: 9ab2651c13a80c7bcff8192bb999e5eca79ab2669fe920a558f6b8ce6b9e38a4
SHA512: c49b888ce43515869411a7065999ae9a54bf44931425a5d79349cef30243d09af8e0e6557640d607248a24ec71a740e33b4e993d49535886f82991a437bf7eb9
Homepage: https://cran.r-project.org/package=jtdm
Description: CRAN Package 'jtdm' (Joint Modelling of Functional Traits)
 Fitting and analyzing a Joint Trait Distribution Model. The Joint Trait
 Distribution Model is implemented in the Bayesian framework using conjugate
 priors and posteriors, thus guaranteeing fast inference. In particular the
 package computes joint probabilities and multivariate confidence intervals,
 and enables the investigation of how they depend on the environment through
 partial response curves. The method implemented by the package is described
 in Poggiato et al. (2023) <doi:10.1111/geb.13706>.

Package: r-cran-jtools
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-generics, r-cran-broom, r-cran-broom.mixed, r-cran-ggplot2, r-cran-magrittr, r-cran-pander, r-cran-pkgconfig, r-cran-rlang, r-cran-sandwich, r-cran-tibble
Suggests: r-cran-boot, r-cran-huxtable, r-cran-kableextra, r-cran-lme4, r-cran-lmertest, r-cran-mass, r-cran-pbkrtest, r-cran-rcolorbrewer, r-cran-scales, r-cran-survey, r-cran-weights, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-jtools_2.3.0-1.ca2004.1_all.deb
Size: 2943464
MD5sum: 31d286a7edb55d5e7436dc1d4cd60bfd
SHA1: 87b53df674eb61cb86ce82339e05c56a0ec7bfc1
SHA256: 5b01b7419695b5a913c599ac87d8cb96db0b310fbc6a0641a4f75bbb4d794c29
SHA512: 841447fffcdc58f1d76aa7370476a98e0f7606aec0a3eb876a644198414834aefcf26d990470f38b10a33ba9cc55d8828cdc1019ece5f218568c30d4a2a1a1ff
Homepage: https://cran.r-project.org/package=jtools
Description: CRAN Package 'jtools' (Analysis and Presentation of Social Scientific Data)
 This is a collection of tools for more efficiently understanding and sharing
 the results of (primarily) regression analyses. There are also a number of
 miscellaneous functions for statistical and programming purposes.  Support
 for models produced by the survey and lme4 packages are points of emphasis.

Package: r-cran-jtrans
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-nortest, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-jtrans_0.2.1-1.ca2004.1_all.deb
Size: 30896
MD5sum: 53556c38cf733d2b7ff1c0cd4e6cc850
SHA1: 8f24cc4231bff54a1d3123060e2bec02becca1fe
SHA256: 9317785552656d2494bb7e08076ab22a86092f2365f46bc456f1d0524c9cb1d4
SHA512: ee83843272f58f16b51b24ac6a4c86e4b18b557820a1761c2b451a2a5c337de213eca8e379cb7d5b1896b23f5069a7918a4116c134bd8e3134ab1c5e8449897d
Homepage: https://cran.r-project.org/package=jtrans
Description: CRAN Package 'jtrans' (Johnson Transformation for Normality)
 Transforming univariate non-normal data to normality using Johnson families
 of distributions. Johnson family is a comprehensive distribution family that
 accommodates many kinds of non-normal distributions. A bunch of
 distributions with various parameters will be fit and the corresponding
 p-values under a user-specified normality test will be given. The final
 transformation will be the one with the largest p-value under the given
 normality test.

Package: r-cran-jubilee
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2682
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-xts, r-cran-zoo, r-cran-readxl, r-cran-data.table, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-tinytex, r-cran-r.rsp, r-cran-testthat, r-cran-roxygen2, r-cran-scales, r-cran-shape
Filename: pool/dists/focal/main/r-cran-jubilee_0.3.3-1.ca2004.1_all.deb
Size: 1323836
MD5sum: ba16fd5bb867fe3cb96673ce28e94a84
SHA1: 2336ec9bc06de9bc78827cf4f1717c1a3ab0630e
SHA256: a74e4e73c5f7c736209c6286c36a287331fe01f50e1ba74686c903ad66b42d53
SHA512: fe5f833bb2e3e2c12705efb612faec7b6c9366e1a549f68f886a3546492fc191ad380d4fa962a0289b91a361334b90a57d97977f2052c75e27c7d777ddc96de9
Homepage: https://cran.r-project.org/package=jubilee
Description: CRAN Package 'jubilee' (Forecasting Long-Term Growth of the U.S. Stock Market andBusiness Cycles)
 A long-term forecast model called "Jubilee-Tectonic model" is implemented to
 forecast future returns of the U.S. stock market, Treasury yield, and gold
 price. The five-factor model forecasts the 10-year and 20-year future equity
 returns with high R-squared above 80 percent. It is based on linear growth
 and mean reversion characteristics in the U.S. stock market. This model also
 enhances the CAPE model by introducing the hypothesis that there are fault
 lines in the historical CAPE, which can be calibrated and corrected through
 statistical learning. In addition, it contains a module for business cycles,
 optimal interest rate, and recession forecasts.

Package: r-cran-juicedown
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clipr, r-cran-dplyr, r-cran-glue, r-cran-juicyjuice, r-cran-knitr, r-cran-markdown, r-cran-rlang, r-cran-rvest, r-cran-sass, r-cran-stringr, r-cran-xfun, r-cran-xml2
Suggests: r-cran-readxl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-juicedown_0.1.1-1.ca2004.1_all.deb
Size: 116140
MD5sum: 03220bffd1008ae0bb4e6a4727f9ba27
SHA1: 9bf5a2769d58b6f2a576e35b459b8cef9fbaa405
SHA256: 6d5ad0cfeb26da56230d545d526b628ce2380e1da820480bbe91618f845a77f4
SHA512: 0c8cbfd4c88bc24d9c9186a1092f24b5e7061d78c03a1af3cbfd1e5ab90aa4718a202da78dfec376b8d22b3515ae9299f468494ea4baaaa7c4b7e855135b479e
Homepage: https://cran.r-project.org/package=juicedown
Description: CRAN Package 'juicedown' ('juice' + 'markdown': Convert 'R Markdown' into 'HTML' withInline Styles)
 A convenience tool to create 'HTML' with inline styles using 'juicyjuice'
 and 'markdown' packages. It is particularly useful when working on a content
 management system (CMS) whose code editor eliminates style and link tags.
 The main use case of the package is the learning management system,
 'Moodle'. Additional helper functions for teaching purposes are provided.
 Learn more about 'juicedown' at <https://kenjisato.github.io/juicedown/>.

Package: r-cran-juicr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 832
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl
Suggests: r-bioc-ebimage, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-juicr_0.1-1.ca2004.1_all.deb
Size: 738572
MD5sum: ee5eb437b634c9617ed412ff61160465
SHA1: 238ad2e9c15bc89654924c738059ec06ab332c5d
SHA256: c10bd6ded59a8cfc25e37d75f90b2a5dfcc469ef9ff4a312e2d4f6bf540f7378
SHA512: a64655990498a6f7cb060907507f22d427f4c6cf8fa88b8b58497e14b7e853b69b7161136e3e50d27cc3f4751df407474ead706a37c86fc97450bfe7aaf0e3f9
Homepage: https://cran.r-project.org/package=juicr
Description: CRAN Package 'juicr' (Automated and Manual Extraction of Numerical Data fromScientific Images)
 Provides a GUI interface for automating data extraction from multiple images
 containing scatter and bar plots, semi-automated tools to tinker with
 extraction attempts, and a fully-loaded point-and-click manual extractor
 with image zoom, calibrator, and classifier. Also provides detailed and
 R-independent extraction reports as fully-embedded .html records.

Package: r-cran-juicyjuice
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1874
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-v8
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-juicyjuice_0.1.0-1.ca2004.1_all.deb
Size: 1092248
MD5sum: 51b2eaf92cd0d306b2b9cdb1affe45f3
SHA1: b239e0db4937624debd115730b9bf75d6d50b572
SHA256: 22c5b681137c0bef4b31b582bac48569e53f4deddccf4b1413879fcda1a07a60
SHA512: 92ee16444d3c542e62ce1b87507f784670baffc705efb569fa8530c1a61584f5311251d584051e38c2df1d287cb34addf197ffdb5449d5c564d3c14b8eb1f94b
Homepage: https://cran.r-project.org/package=juicyjuice
Description: CRAN Package 'juicyjuice' (Inline CSS Properties into HTML Tags Using 'juice')
 There are occasions where you need a piece of HTML with integrated styles. A
 prime example of this is HTML email. This transformation involves moving the
 CSS and associated formatting instructions from the style block in the head
 of your document into the body of the HTML. Many prominent email clients
 require integrated styles in HTML email; otherwise a received HTML email
 will be displayed without any styling. This package will quickly and
 precisely perform these CSS transformations when given HTML text and it does
 so by using the JavaScript 'juice' library.

Package: r-cran-julia
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-julia_1.3.5-1.ca2004.1_all.deb
Size: 171696
MD5sum: 4cefdee84e394dc5d8f21cc51e2a849c
SHA1: 163635e12c0e34b3f5d80a2a7a8a613476037b4c
SHA256: 55f8f4f37351e74ef76825889268fc7fcdf03c1eeb7ffcdbec82c4e6df040771
SHA512: 7b36b755fe938e5dc3815c6cb8dd68508999e2c716f674c0fdc2ab6742f9399bc260b122b7f41aedd7c7d14e4c1bf142a22f1f1c99bfe6d1cd10c733e19507f8
Homepage: https://cran.r-project.org/package=Julia
Description: CRAN Package 'Julia' (Fractal Image Data Generator)
 Generates image data for fractals (Julia and Mandelbrot sets) on the complex
 plane in the given region and resolution. Benoit B Mandelbrot (1982).

Package: r-cran-juliaconnector
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-future
Filename: pool/dists/focal/main/r-cran-juliaconnector_1.1.4-1.ca2004.1_all.deb
Size: 158700
MD5sum: d274ed158867ee67627e639cddb87ff9
SHA1: 6c6a365224810879dc6b370a173eb212d2fe16bc
SHA256: 2b01cd7648b741c692adb323051af363892236437295af99c6f7561ac9658169
SHA512: 53a075eeb705188ce7f64e3e7e76b0492e1ecb73f156cde71b39fdfd86c95577dc0bb079a160fcd6ac8e1e00a1a9b332f49d131d340d6c27e8430f3ebb0c0756
Homepage: https://cran.r-project.org/package=JuliaConnectoR
Description: CRAN Package 'JuliaConnectoR' (A Functionally Oriented Interface for Integrating 'Julia' with R)
 Allows to import functions and whole packages from 'Julia' in R.  Imported
 'Julia' functions can directly be called as R functions.  Data structures
 can be translated between 'Julia' and R.  More details can also be found in
 the corresponding article <doi:10.18637/jss.v101.i06>.

Package: r-cran-juliaformulae
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rrapply
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-juliaformulae_0.1.0-1.ca2004.1_all.deb
Size: 21760
MD5sum: 4ecdfb10e0c96bc9f5bfc07a85880417
SHA1: acb02b7278fff8e60c451b7f30d84076d5ae6870
SHA256: 67fe24fc4acdefaa762f08683082c839df48850906d26603b93aac0dd62918d7
SHA512: a1da995c372401e3dfb842ce6767cb8ac9d1390bb3dc0f1e5540ee51efcd55b81fb0935aed50fc29142dc9151b91b7e41a0f16e8d898a063b5d57180fd3a9bba
Homepage: https://cran.r-project.org/package=JuliaFormulae
Description: CRAN Package 'JuliaFormulae' (Translate R Regression Model Formulae to 'Julia' Syntax)
 Metaprogramming utilities for converting R regression model formulae to
 equivalents in 'Julia' <doi:10.1137/141000671>, via modifications to the
 abstract syntax tree. Supports translations in zero correlation random
 effects syntax, protection of expressions to be evaluated as-is, interaction
 terms, and more. Accepts strings or R formula objects and returns modified R
 formula objects where possible (or a modified string, if not a valid formula
 in R).

Package: r-cran-jumper
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-pdftools, r-cran-rvest, r-cran-stringr, r-cran-swimmer, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-jumper_0.3.0-1.ca2004.1_all.deb
Size: 1625408
MD5sum: 73b485fb92e05b3e29584f6d2bbaaca1
SHA1: 56493c79def22129a800384dce53cfb95ac5b19c
SHA256: b444b8afc8eeb5a1e5d6a2a6997bebb0fe235a35c1ba92f694732191d155f734
SHA512: 301f8810b5c9c84e67eb9fb2889a5d93ec2110136ec1ab96253ae2540bf7a302420c2fe3b2a13d233daaeb816d5c8737d5db57f123859ac268b3340179076fe8
Homepage: https://cran.r-project.org/package=JumpeR
Description: CRAN Package 'JumpeR' (Importing and Working with Track and Field Data)
 Primarily used to convert human readable track and field results into
 dataframes for further analysis.  Results can come from central repositories
 like <https://www.flashresults.com/> or <http://www.deltatiming.com/>, or
 from individual team sites, like those for colleges.  Also contains
 functions useful for working with track and field data.

Package: r-cran-just.install
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-remotes, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-box, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-just.install_1.0.2-1.ca2004.1_all.deb
Size: 19568
MD5sum: 4b51da7a6ba8a306e6a9faf866c2ffd9
SHA1: e6452b18dc0a7b834cb05f07379692ef6fd34695
SHA256: 2a2be68aba17180a547abc06ed0780600d5c002cf16d180b37c6a9c34b6ac3ad
SHA512: fd139e3895f5fcd4ca9bdc739d7985f18e69c77fcb78ef78fca299100abc8b8ce9c44e888d870387eb96cc39433394b56892cd701265a81a93a1620eed607e4f
Homepage: https://cran.r-project.org/package=just.install
Description: CRAN Package 'just.install' (Very Simple Function to Install Packages without Attaching)
 Install packages without attaching them. If a package it is already
 installed, it will be skipped.

Package: r-cran-justifier
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2620
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.tree, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-purrr, r-cran-yaml, r-cran-yum
Suggests: r-cran-covr, r-cran-here, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-justifier_0.2.6-1.ca2004.1_all.deb
Size: 691060
MD5sum: 4035ac9b7ac79a1ea352e734d9e6beab
SHA1: a74881fb357629c70129a500793d0ccb0b3c97ff
SHA256: 39ec3f23a5be200728823602841c6fe071fc603353a87e8de53de03480c3925c
SHA512: a26f6a2cf92ebfbe246503d0af6215981dfcf675962ed0b33877ea0fb445fc54859ca63630c31d584f4dbae7f81686697c305abf0a3c2a148a07b444a3315d40
Homepage: https://cran.r-project.org/package=justifier
Description: CRAN Package 'justifier' (Human and Machine-Readable Justifications and JustifiedDecisions Based on 'YAML')
 Leverages the 'yum' package to implement a 'YAML' ('YAML Ain't Markup
 Language', a human friendly standard for data serialization; see
 <https:yaml.org>) standard for documenting justifications, such as for
 decisions taken during the planning, execution and analysis of a study or
 during the development of a behavior change intervention as illustrated by
 Marques & Peters (2019) <doi:10.17605/osf.io/ndxha>. These justifications
 are both human- and machine-readable, facilitating efficient extraction and
 organisation.

Package: r-cran-justifyalpha
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesfactor, r-cran-ggplot2, r-cran-stringr, r-cran-shiny, r-cran-superpower, r-cran-pwr, r-cran-shinydashboard, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-justifyalpha_0.1.1-1.ca2004.1_all.deb
Size: 95740
MD5sum: dc2e95db6ddbf3f33390f1d8093eb8eb
SHA1: 36895331ce63093cb4757ec65f1325376147da94
SHA256: 0366e908dac55f8a6154ae23d9087b702eacfb545cdc364bc62b78be25b4a794
SHA512: cfaa92b73165e9f8383d44da75d23b78bedaed132e2b60d6cc0436d178326f83e41f8ba63e16a3ef7185476dd7f72548b15a7b1a679f6b1e3aa19a52a29db1f8
Homepage: https://cran.r-project.org/package=JustifyAlpha
Description: CRAN Package 'JustifyAlpha' (Justifying Alpha Levels for Hypothesis Tests)
 Functions to justify alpha levels for statistical hypothesis tests by
 avoiding Lindley's paradox, or by minimizing or balancing error rates. For
 more information about the package please read the following: Maier & Lakens
 (2021) <doi:10.31234/osf.io/ts4r6>).

Package: r-cran-jvcoords
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jvcoords_1.0.3-1.ca2004.1_all.deb
Size: 34832
MD5sum: ae36470034ef9c3711b0ec6ce8373768
SHA1: 92e568693521fa88f66e7d90bc3cf2387bc30cb4
SHA256: c20674024e874281eb0846d233fa582787ade895c66bbb3254b37a11b7728cae
SHA512: 0a8c4c60ee66e2875ca5cb0aa3963fcf9525b042d8371fa4e40d85a9950778057daef4524d4955b979c01a30923be245c378f99eef6e62adb907aae123217ee3
Homepage: https://cran.r-project.org/package=jvcoords
Description: CRAN Package 'jvcoords' (Principal Component Analysis (PCA) and Whitening)
 Provides functions to standardize and whiten data, and to perform Principal
 Component Analysis (PCA).  The main advantage of this package over
 alternatives like prcomp() is, that jvcoords makes it easy to convert
 (additional) data between the original and the transformed coordinates.  The
 package also provides a class coords, which can represent affine coordinate
 transformations.  This class forms the basis of the transformations provided
 by the package, but can also be used independently.  The implementation has
 been optimized to be of comparable speed (and sometimes even faster) than
 existing alternatives.

Package: r-cran-jvnvar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 852
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-jvnvar_1.0-1.ca2004.1_all.deb
Size: 788248
MD5sum: d6772ad778aa721642d7608535344609
SHA1: e14f5f9350357a7319a3b2c6533ecba96745c73b
SHA256: 1f6c7917855cee5999b175f424d425e392200778aee16673b609615aae0a8c81
SHA512: 886d417ccb88956f9c8d67f47b236bcb95274e4e69fee511b07e6066c3bf865134ae047abcacc65079845d660da2684ce7b5021a26820ebb74e735e94b460c69
Homepage: https://cran.r-project.org/package=jvnVaR
Description: CRAN Package 'jvnVaR' (Value at Risk)
 Many method to compute, predict and back-test VaR. For more detail, see the
 report: Value at Risk <researchgate.net>.

Package: r-cran-jwileymisc
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-multcompview, r-cran-emmeans, r-cran-data.table, r-cran-ggplot2, r-cran-scales, r-cran-ggpubr, r-cran-mgcv, r-cran-mice, r-cran-psych, r-cran-robustbase, r-cran-gamlss, r-cran-lavaan, r-cran-vgam, r-cran-lme4, r-cran-extraoperators, r-cran-digest, r-cran-fst, r-cran-rlang
Suggests: r-cran-foreach, r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-gparotation, r-cran-rms
Filename: pool/dists/focal/main/r-cran-jwileymisc_1.4.3-1.ca2004.1_all.deb
Size: 945432
MD5sum: d0621fdb59c8352726bbdcba308cc94a
SHA1: 93e585f39627d3eef8b5a5e30cfde7a089eadd28
SHA256: 96e5372f045fc3618bd9217439fc6ede71f2ccd86717ef213e6e417c7ad168fe
SHA512: 64b131b85e3d79e6695a219879d4a3950856e78543db9b5037f2c5e63b001899c0d731581b5706fe4715362cdf7516e5168d8b0c38bde385ec4c5c54df798adb
Homepage: https://cran.r-project.org/package=JWileymisc
Description: CRAN Package 'JWileymisc' (Miscellaneous Utilities and Functions)
 Miscellaneous tools and functions, including: generate descriptive
 statistics tables, format output, visualize relations among variables or
 check distributions, and generic functions for residual and model
 diagnostics.

Package: r-cran-k5
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clipr, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-usethis
Suggests: r-cran-covr, r-cran-crayon, r-cran-gluedown, r-cran-here, r-cran-httr, r-cran-janitor, r-cran-knitr, r-cran-pacman, r-cran-readxl, r-cran-rvest, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-k5_0.2.1-1.ca2004.1_all.deb
Size: 126908
MD5sum: cc593986c04a2712b77ac6c1508c5f11
SHA1: d6a5e8ac2fe163996b4dd6701096ae9539ddf4a3
SHA256: f7f8c65cba1dfe3b2293bccd6144beff9c7ae3fa47023c41106d2e58efd0396d
SHA512: 42cb9ad2453e2e0cffb58f03461819d576fdaee26a248d36ac5e4babf383a0f7dafba2ac837883ee0b8245e7a72db3b1c9ebe91abf1bb2a59b872e128b550b2a
Homepage: https://cran.r-project.org/package=k5
Description: CRAN Package 'k5' (Kiernan Nicholls Miscellaneous)
 Quality of life functions for interactive programming.  Shortcuts for common
 combinations of functions or different default arguments. Not to be used in
 production level scripts, but useful for exploring and quickly manipulating
 data for easy analysis. Also imports a variety of packages to facilitate the
 installation of those imported packages on the host machine.

Package: r-cran-kableextra
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4165
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-stringr, r-cran-xml2, r-cran-rmarkdown, r-cran-scales, r-cran-viridislite, r-cran-htmltools, r-cran-rstudioapi, r-cran-digest, r-cran-svglite
Suggests: r-cran-testthat, r-cran-magick, r-cran-tinytex, r-cran-formattable, r-cran-sparkline, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-kableextra_1.4.0-1.ca2004.1_all.deb
Size: 1218992
MD5sum: 7ca7ec38eeea1c0ef8911bcbd4dcc0d4
SHA1: 7dddbb6b06ae2076e581fb147d057dac79757835
SHA256: a0d7d238efa80483ca984a82225da7d01a1c1d3a7a173dbaa52b360391eaabc5
SHA512: b71c7df4be02a245c243509c80c907d2fb6417bd6c1d73a0f848c1a2014bac3cd9ce15853968788cf5c57cb9d9c905d5709f5bf2c0493afe7efc7c707b77bd16
Homepage: https://cran.r-project.org/package=kableExtra
Description: CRAN Package 'kableExtra' (Construct Complex Table with 'kable' and Pipe Syntax)
 Build complex HTML or 'LaTeX' tables using 'kable()' from 'knitr' and the
 piping syntax from 'magrittr'. Function 'kable()' is a light weight table
 generator coming from 'knitr'. This package simplifies the way to manipulate
 the HTML or 'LaTeX' codes generated by 'kable()' and allows users to
 construct complex tables and customize styles using a readable syntax.

Package: r-cran-kader
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kader_0.0.8-1.ca2004.1_all.deb
Size: 127288
MD5sum: 8a88c0d873e49dc305c50cf035b43a36
SHA1: 612ccd0b62987f8ec037563939f97ca3801b5dee
SHA256: 29e81d3fcd084b16d99922b62146f1b23bcc44e60c6f3248840c2f66f25a54a7
SHA512: 41c34eb42b6de98fda10d8ac5e36780253ea8b2749aea50abc665eebe8f41199e69fb736c6b51c26bde58815f2a924eef989f6ed2d853c4e3a1cac7decfc0ce6
Homepage: https://cran.r-project.org/package=kader
Description: CRAN Package 'kader' (Kernel Adaptive Density Estimation and Regression)
 Implementation of various kernel adaptive methods in nonparametric curve
 estimation like density estimation as introduced in Stute and Srihera (2011)
 <doi:10.1016/j.spl.2011.01.013> and Eichner and Stute (2013)
 <doi:10.1016/j.jspi.2012.03.011> for pointwise estimation, and like
 regression as described in Eichner and Stute (2012)
 <doi:10.1080/10485252.2012.760737>.

Package: r-cran-kaigiroku
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-r.utils, r-cran-jsonlite, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-kaigiroku_0.5-1.ca2004.1_all.deb
Size: 24824
MD5sum: dbb1848f26326e11fed17d3855bd6e50
SHA1: b86762f7d9f71bd0bbeed9c6862d17ec19727994
SHA256: c0301b797df1faaf2a1fc8a62481647b47515fc162d46f3757e10e96395327c7
SHA512: 8960eca485a403700930af8705ba7d9d0bb93715ae9e2b215f688a554b3e3837f03ba1282b599e95e596acee1c17215353524c18c83ab6216445b57773396e32
Homepage: https://cran.r-project.org/package=kaigiroku
Description: CRAN Package 'kaigiroku' (Programmatic Access to the API for Japanese Diet Proceedings)
 Search and download data from the API for Japanese Diet Proceedings (see the
 reference at <https://kokkai.ndl.go.jp/api.html>).

Package: r-cran-kairos
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1940
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-aion, r-cran-dimensio, r-cran-arkhe, r-cran-extradistr
Suggests: r-cran-folio, r-cran-fontquiver, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tabula, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-kairos_2.3.0-1.ca2004.1_all.deb
Size: 1321932
MD5sum: 78e4ee6ea14bf5ef528114e4c0bc14ef
SHA1: 3150d38ef6e95e8298066fbda7ca0bd2948307dc
SHA256: 288862702bc6d78bf1a7ddafe19289192fee919b2c7000840ff0c4b90bde1d87
SHA512: d3d17dfd119195ef2c041e51de235589c02cc9957cab21eca50b0d38496b511e216be89711ca43494cab187d7813d2532caf4293b72eada097b62b0f6ce81668
Homepage: https://cran.r-project.org/package=kairos
Description: CRAN Package 'kairos' (Analysis of Chronological Patterns from Archaeological CountData)
 A toolkit for absolute and relative dating and analysis of chronological
 patterns. This package includes functions for chronological modeling and
 dating of archaeological assemblages from count data. It provides methods
 for matrix seriation. It also allows to compute time point estimates and
 density estimates of the occupation and duration of an archaeological site.

Package: r-cran-kangar00
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 980
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigmemory, r-cran-sqldf, r-cran-compquadform, r-cran-data.table, r-cran-lattice, r-cran-igraph
Suggests: r-bioc-biomart, r-bioc-kegggraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kangar00_1.4.2-1.ca2004.1_all.deb
Size: 797868
MD5sum: ab183cd1e7a9d8d46b41a241e0bf64bf
SHA1: 4ac1314b2897571a00e71818849be4ff902eda60
SHA256: 8bb2a55e857048b0ef6fd8f03933a4daec1b658f64c638baec84f7a15464aaf7
SHA512: 8902472383e679d260e3f1208b9dbf325367f4f72f5a91ceec32edad71015f6990325d43f0c4917bb4e0c49b1f0748361fa77b13d57b50b40c4d5e5fa82c2710
Homepage: https://cran.r-project.org/package=kangar00
Description: CRAN Package 'kangar00' (Kernel Approaches for Nonlinear Genetic Association Regression)
 Methods to extract information on pathways, genes and various
 single-nucleotid polymorphisms (SNPs) from online databases. It provides
 functions for data preparation and evaluation of genetic influence on a
 binary outcome using the logistic kernel machine test (LKMT). Three
 different kernel functions are offered to analyze genotype information in
 this variance component test: A linear kernel, a size-adjusted kernel and a
 network-based kernel).

Package: r-cran-kanova
Architecture: all
Version: 0.3-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 795
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.random
Suggests: r-cran-r.rsp, r-cran-devore7
Filename: pool/dists/focal/main/r-cran-kanova_0.3-17-1.ca2004.1_all.deb
Size: 566852
MD5sum: efd793ad7dcd4b3a5c30ddd87710a00b
SHA1: c79a9bcf2d88d0b7e7725f18619fb1b812a92522
SHA256: 21e15df75482d3e81c2b18ece20e762d5ef055540ea75d1993b114a07e47b9bf
SHA512: 9996d337e233f4921a661ad89f9d3dcbc1ade2736e2dd55647dc0e2c80cab01a0738c95fde45a91df8e82aeb0a4fbea5b729cee6a126d658abea373a10362f05
Homepage: https://cran.r-project.org/package=kanova
Description: CRAN Package 'kanova' (Pseudo Anova for K-Functions)
 One-way and two-way analysis of variance for replicated point patterns,
 grouped by one or two classification factors, on the basis of the
 corresponding K-functions.

Package: r-cran-kant
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-affy, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-kant_2.0-1.ca2004.1_all.deb
Size: 39480
MD5sum: ce7cebe9aeb25ea141a54fc6a9c69d6a
SHA1: 3ce5b9128fa8c1380e7b3d8c189fe6bb01619477
SHA256: 59bfecca864f88b2f96f4f85f546fd16aa2b7ac5839b3c36263a0379df4b491c
SHA512: 196ec810ae9ba853465fb0dfeea78557ce0c607b78d93b5a00318fbadb30bc0dba3477c379b6909a185301af042eebbee28dcc710ff8b9676405a3fb3abfe8ba
Homepage: https://cran.r-project.org/package=KANT
Description: CRAN Package 'KANT' (Package to identify and sort genes overexpressed)
 Identify and sort genes overexpressed and associated to transmembrane
 protein in Affymetrix expression set or any other results of microarray
 experiment.

Package: r-cran-kantorovich
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cvxr, r-cran-gmp, r-cran-lpsolve, r-cran-rcdd, r-cran-rglpk, r-cran-slam, r-cran-ompr, r-cran-ompr.roi, r-cran-roi.plugin.glpk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kantorovich_3.2.0-1.ca2004.1_all.deb
Size: 63056
MD5sum: d75c77921e1a371a1dc0b69a854d201d
SHA1: af1798daf17ee33c5391dd62638d02758e9c6049
SHA256: bd03e9703d9651e09f5be334eaab63fac689d60310fa859230f4478ff8c4ed1f
SHA512: 576546395544ff256c1f410e0b00681d85d72d4ff794223f96ac9711e73ea20f823437110ed02dcbe488fead1243bb0417908f71be4f859b5642ee35014a98ff
Homepage: https://cran.r-project.org/package=kantorovich
Description: CRAN Package 'kantorovich' (Kantorovich Distance Between Probability Measures)
 Computes the Kantorovich distance between two probability measures on a
 finite set. The Kantorovich distance is also known as the Monge-Kantorovich
 distance or the first Wasserstein distance.

Package: r-cran-kaos
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-kaos_0.1.2-1.ca2004.1_all.deb
Size: 31932
MD5sum: 81110a00aeba04d1dd36e5f1de608f18
SHA1: c8d3e293dd764150dde2a0034053f3125733e249
SHA256: 8b752f32c11e4c682371a6bb7ffc4e007fd41d0f5a7fa9ada1a5f889cbcb2493
SHA512: 11f12bde825d125da0b2fb68a1cc3682d2419546f31e22f87baeadbf09e7cc8bc2f9c1a25b4498a218a08eb4e543ebbb540e38cdb214634fc8dd086c91e9d2c3
Homepage: https://cran.r-project.org/package=kaos
Description: CRAN Package 'kaos' (Encoding of Sequences Based on Frequency Matrix Chaos GameRepresentation)
 Sequences encoding by using the chaos game representation.  Löchel et al.
 (2019) <doi:10.1093/bioinformatics/btz493>.

Package: r-cran-kaphom
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kaphom_0.3-1.ca2004.1_all.deb
Size: 35940
MD5sum: dd59d022c166117bf579b0784f320be1
SHA1: 57c9f08db37b3146d860289b4a706b5d36e898fd
SHA256: 0d155be47897d6de9de79213feb5e2a80f7bbe2c62514da62bb607f8705132bb
SHA512: e2fe75d619b330c5e031657cec9b20c8e4fc75ddcfcdf5bc59d84ccbe056cbdcb1b338c099f46b7640711052e72928ca6418c4ca658b2d1bd572f88c2c092955
Homepage: https://cran.r-project.org/package=kaphom
Description: CRAN Package 'kaphom' (Test the Homogeneity of Kappa Statistics)
 Tests the homogeneity of intraclass kappa statistics obtained from
 independent studies or a stratified study with binary results. It is desired
 to compare the kappa statistics obtained in multi-center studies or in a
 single stratified study to give a common or summary kappa using all
 available information. If the homogeneity test of these kappa statistics is
 not rejected, then it is possible to make inferences over a single kappa
 statistic that summarizes all the studies. Muammer Albayrak, Kemal Turhan,
 Yasemin Yavuz, Zeliha Aydin Kasap (2019) <doi:10.1080/03610918.2018.1538457>
 Jun-mo Nam (2003) <doi:10.1111/j.0006-341X.2003.00118.x> Jun-mo Nam (2005)
 <doi:10.1002/sim.2321>Mousumi Banerjee, Michelle Capozzoli, Laura
 McSweeney,Debajyoti Sinha (1999) <doi:10.2307/3315487> Allan Donner, Michael
 Eliasziw, Neil Klar (1996) <doi:10.2307/2533154>.

Package: r-cran-kappagold
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future.apply, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-dplyr, r-cran-irr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kappagold_0.4.0-1.ca2004.1_all.deb
Size: 84956
MD5sum: b27e6b461d168c56f5f50b13b5570f75
SHA1: c334577a2c80dd94b782a9033d002a7c28fadb63
SHA256: f11a54d2c76f82140f8322ce21765e168283e261cc2dc146eac72caa323044f7
SHA512: 9fd83b9ba34a880717ca48b66449ca5ed6f781ee3fdb4f523f55e0fc841df335e744b57b193d88b6fd7a3fbf9a20b0d244c4f4b76216c225aadb96c5d9f4cc79
Homepage: https://cran.r-project.org/package=kappaGold
Description: CRAN Package 'kappaGold' (Agreement of Nominal Scale Raters (with a Gold Standard))
 Estimate agreement of a group of raters with a gold standard rating on a
 nominal scale. For a single gold standard rater the average pairwise
 agreement of raters with this gold standard is provided. For a group of
 (gold standard) raters the approach of S. Vanbelle, A. Albert (2009)
 <doi:10.1007/s11336-009-9116-1> is implemented. Bias and standard error are
 estimated via delete-1 jackknife.

Package: r-cran-kappagui
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-irr
Filename: pool/dists/focal/main/r-cran-kappagui_2.0.2-1.ca2004.1_all.deb
Size: 29812
MD5sum: e02c2d1745d453d811cc787b4b024e07
SHA1: 6414cb141cbc2b27dca7cd9c0f4e4ba917832b82
SHA256: 297a17c1a27e5c3b6ff2870f08fa0aa5203bf74f1c0bd9ebace43b6c3823672f
SHA512: baa8ea51483d20ec3005a681558f9b2904384a7a614ec7a5a1efab38525c7318d95f0ca24632a0bb31b761275a034052c6d8f6b87b72e391d4e658cb84f5f5a1
Homepage: https://cran.r-project.org/package=KappaGUI
Description: CRAN Package 'KappaGUI' (An R-Shiny Application for Calculating Cohen's and Fleiss' Kappa)
 Offers a graphical user interface for the evaluation of inter-rater
 agreement with Cohen's and Fleiss' Kappa. The calculation of kappa
 statistics is done using the R package 'irr', so that 'KappaGUI' is
 essentially a Shiny front-end for 'irr'.

Package: r-cran-kappasize
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kappasize_1.2-1.ca2004.1_all.deb
Size: 303184
MD5sum: b94a0663032a198457680f81e2429c55
SHA1: 29a7c4804a713a71a4ef48f636f5071f57712a3d
SHA256: 755b31dfc5024cf183f16d0b97f8bc0f32ab58580ef492e73952687eb1bae68d
SHA512: e3389283fbe3a1897ec4f9ba2b5e27a46d6002c6fe16aee7f511fafc245f4e6bab36d49ef1802eddf5207f82e396381389c4c09e57446deab4bb28772eade91d
Homepage: https://cran.r-project.org/package=kappaSize
Description: CRAN Package 'kappaSize' (Sample Size Estimation Functions for Studies of InterobserverAgreement)
 Contains basic tools for sample size estimation in studies of
 interobserver/interrater agreement (reliability).  Includes functions for
 both the power-based and confidence interval-based methods, with binary or
 multinomial outcomes and two through six raters.

Package: r-cran-kappav
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-presenceabsence, r-cran-maptools, r-cran-rgeos, r-cran-sp
Filename: pool/dists/focal/main/r-cran-kappav_0.3-1.ca2004.1_all.deb
Size: 83300
MD5sum: d092d54ad311f1ccd5c8955dd4e8c7e1
SHA1: 643767412cc4a25a4efebd804b44c85dbca8bf64
SHA256: ec42063498d122bc72e9c1147f7ae89ef87fc240b8972846678bc0d4db0226e9
SHA512: 510c69082227d4dfe195998c974b0438a4468e3c4827be378f7b45b88d3d89968dcd639f47830cf42cbc0c06aea2268d5bf1f29dd710ed03168ddf7be6662712
Homepage: https://cran.r-project.org/package=KappaV
Description: CRAN Package 'KappaV' (Calculates "vectorial Kappa", an index of congruence betweenpatchy mosaics)
 this package allows to quantify the congruence between two patchy mosaics or
 landscapes. This "vectorial Kappa" approach extends the principle of Cohen's
 Kappa index by calculating areas of intersected patches between two mosaics
 rather than agreement between pixels. It provides an exact alternative for
 patchy mosaics when a Kappa index is needed.

Package: r-cran-karadacolor
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crayon, r-cran-ggplot2
Suggests: r-cran-scales, r-cran-artsy
Filename: pool/dists/focal/main/r-cran-karadacolor_0.1.5-1.ca2004.1_all.deb
Size: 414616
MD5sum: 907fb7faafbb213fd94ef9033f9002d3
SHA1: 60473f7c95fcb99eb326485aaa025e0c30741c99
SHA256: dd872f61670d3ebdaafedfdc68f5fb45cfacfdc089668b78a72600a542d6dd89
SHA512: fa21370f697dd54b3b1ad33bc80e5a922541288faf4cc32bcd9850e4b3d3f77d4b34e69649bedb43918449ad7c7681da60882f24d49791b724168cf0e45594a3
Homepage: https://cran.r-project.org/package=KaradaColor
Description: CRAN Package 'KaradaColor' (Color Palettes Inspired by Japanese Landscape and Culture)
 The palette includes motifs from Japanese landscape and culture.  And it
 provides commands for color manipulation and 'ggplot2' color scales.

Package: r-cran-karaoke
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tuner, r-cran-seewave
Filename: pool/dists/focal/main/r-cran-karaoke_3.0-1.ca2004.1_all.deb
Size: 12708
MD5sum: ee81419ba45ff2a5ca41e176a96c176f
SHA1: f5dfb65bf2803cc25b9cf854013e3e9372023171
SHA256: 23e570d3d11b564aa9e30e2cc717097fa07ff47e86b98975d8f0db462cc679aa
SHA512: 66b6b275e59be14462399d4dfd10645efcfb7b6feae607aa0ba14f95885ab40b9981784b077582c117ca0c081441f5a9dc8f67d48a827a0443308f2ff85e7ed3
Homepage: https://cran.r-project.org/package=karaoke
Description: CRAN Package 'karaoke' (Remove Vocals from a Song)
 Attempts to remove vocals from a stereo '.wav' recording of a song.

Package: r-cran-karel
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2650
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-magrittr, r-cran-gganimate, r-cran-gifski
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-karel_0.1.1-1.ca2004.1_all.deb
Size: 1381848
MD5sum: 41c0ffa607bc4c37c69dc58e36bdfc49
SHA1: 5019417ac1ef8a097f16b4523636876a460bdbab
SHA256: 7d74375d7c5e1a2753fac076b63065230695dc1de11b0cafb58dcc01cf57ae76
SHA512: 3149e67d9bc8fb8480f4c72a3e4d16e439103bd10275be635fa16f4699e7e92e3d59e1dbc422cb2e4ea6393711b5b1614621ef3e5067c333d69bcda46fa15175
Homepage: https://cran.r-project.org/package=karel
Description: CRAN Package 'karel' (Learning programming with Karel the robot)
 This is the R implementation of Karel the robot, a programming language
 created by Dr. R. E. Pattis at Stanford University in 1981. Karel is an
 useful tool to teach introductory concepts about general programming, such
 as algorithmic decomposition, conditional statements, loops, etc., in an
 interactive and fun way, by writing programs to make Karel the robot achieve
 certain tasks in the world she lives in. Originally based on Pascal, Karel
 was implemented in many languages through these decades, including 'Java',
 'C++', 'Ruby' and 'Python'. This is the first package implementing Karel in
 R.

Package: r-cran-karen
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-gaussquad, r-cran-scales, r-cran-mvtnorm, r-cran-tmvtnorm, r-cran-mass, r-cran-igraph, r-cran-xtable, r-cran-stringr, r-cran-abind, r-cran-expm
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-karen_1.0-1.ca2004.1_all.deb
Size: 682556
MD5sum: b7dcf190cd6c6f635baa48d6b82965e2
SHA1: b059126ca3ac9ac0a4a77c96d715b6f13ceedcfe
SHA256: 20c2c6ecf8dea5bf47b72667939e326e13f47d305555baaaf0336e819f486a39
SHA512: 2c745b38ca6d73d21e167946dfd71a95311e96a35098cd8510e6a570ec6e6a432bc65180f532a255689403a78bf30e4962e4b2a4d263cd3c738cebf92a5547bb
Homepage: https://cran.r-project.org/package=Karen
Description: CRAN Package 'Karen' (Kalman Reaction Networks)
 This is a stochastic framework that combines biochemical reaction networks
 with extended Kalman filter and Rauch-Tung-Striebel smoothing.  This
 framework allows to investigate the dynamics of cell differentiation from
 high-dimensional clonal tracking data subject to measurement noise, false
 negative errors, and systematically unobserved cell types.  Our tool can
 provide statistical support to biologists in gene therapy clonal tracking
 studies for a deeper understanding of clonal reconstitution dynamics.
 Further details on the methods can be found in L. Del Core et al., (2022)
 <doi:10.1101/2022.07.08.499353>.

Package: r-cran-karlen
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2889
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-karlen_0.0.2-1.ca2004.1_all.deb
Size: 2861120
MD5sum: 82af62403aead9f5a9d16a833139385a
SHA1: 7aaa1ce9d54ee191edac7448a2bce6f82a5e4a6c
SHA256: 3e1080effd6a2c8b63151fb55088b47bd02c68f0049b8b5587d141e3dfed573a
SHA512: 936666f9370ab5e12b2bf28f11dca51c0225bdd835708dadcac2d22780ff1d5d97d7501c56028fa0a69775aaec2c343ee772c6bf8c5516cbe68c1d0116683464
Homepage: https://cran.r-project.org/package=karlen
Description: CRAN Package 'karlen' (Real-Time PCR Data Sets by Karlen et al. (2007))
 Real-time quantitative polymerase chain reaction (qPCR) data sets by Karlen
 et al. (2007) <doi:10.1186/1471-2105-8-131>. Provides one single tabular
 tidy data set in long format, encompassing 32 dilution series, for seven PCR
 targets and four biological samples. The targeted amplicons are within the
 murine genes: Cav1, Ccn2, Eln, Fn1, Rpl27, Hspg2, and Serpine1,
 respectively. Dilution series: scheme 1 (Cav1, Eln, Hspg2, Serpine1):
 1-fold, 10-fold, 50-fold, and 100-fold; scheme 2 (Ccn2, Rpl27, Fn1): 1-fold,
 10-fold, 50-fold, 100-fold and 1000-fold.  For each concentration there are
 five replicates, except for the 1000-fold concentration, where only two
 replicates were performed. Each amplification curve is 40 cycles long.
 Original raw data file is Additional file 2 from "Statistical significance
 of quantitative PCR" by Y. Karlen, A. McNair, S. Perseguers, C. Mazza, and
 N. Mermod (2007)
 <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-8-131/MediaObjects/12859_2006_1503_MOESM2_ESM.ZIP>.

Package: r-cran-karsts
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3501
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-mvn, r-cran-tcltk2, r-cran-tserieschaos, r-cran-stlplus, r-cran-tseries, r-cran-forecast, r-cran-stinepack, r-cran-missforest, r-cran-nonlineartseries, r-cran-zoo, r-cran-rgl, r-cran-mgcv, r-cran-infotheo, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-karsts_2.4.1-1.ca2004.1_all.deb
Size: 3046280
MD5sum: 8271bcdf493b7834f6e1a1dda5eb595a
SHA1: d1eccd4fd6660f483eda0a3e13a1d407a2e6e2d4
SHA256: f99e65bab0b039d5a1c9554f6503709768a2816e4d6d77166009858cb1c163a0
SHA512: f8f1619a9ca67452a7ba11d8b7a8bc32055407f001cd3e12e41aca90375cbdc376b3e8ceec25f4752897a6b7267d2b831179e6e907c40fef4d0506ee54b716f1
Homepage: https://cran.r-project.org/package=KarsTS
Description: CRAN Package 'KarsTS' (An Interface for Microclimate Time Series Analysis)
 An R code with a GUI for microclimate time series, with an emphasis on
 underground environments. 'KarsTS' provides linear and nonlinear methods,
 including recurrence analysis (Marwan et al. (2007)
 <doi:10.1016/j.physrep.2006.11.001>) and filling methods (Moffat et al.
 (2007) <doi:10.1016/j.agrformet.2007.08.011>), as well as tools to
 manipulate easily time series and gap sets.

Package: r-cran-karyotapr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1894
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-singlecellexperiment, r-cran-circlize, r-cran-cli, r-bioc-complexheatmap, r-cran-dbscan, r-cran-dplyr, r-cran-fitdistrplus, r-bioc-genomicranges, r-cran-ggplot2, r-cran-gtools, r-bioc-iranges, r-cran-magrittr, r-cran-purrr, r-bioc-rhdf5, r-cran-rlang, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-cran-tibble, r-cran-tidyr, r-cran-umap, r-cran-viridislite
Suggests: r-bioc-biostrings, r-cran-knitr, r-cran-rmarkdown, r-bioc-rsamtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-karyotapr_1.0.1-1.ca2004.1_all.deb
Size: 1419992
MD5sum: 710bf61072dfa64fb6a3c71de4f0658a
SHA1: f72dccd57ddd045d4c2b149b1227379b8823a4fa
SHA256: 18ba7f5b3b54e2951db9a3ee0d7c9e29af09af6e3c6e2fc5ae0d8f20557738d8
SHA512: 544351011ed5b8b5f46ddd24fba5b7f6cac39128205197de967ebbef938398c52ce6bfe91178893a20f404eb43392fb5147a8ba9b2122944f7c9f64b596739f7
Homepage: https://cran.r-project.org/package=karyotapR
Description: CRAN Package 'karyotapR' (DNA Copy Number Analysis for Genome-Wide Tapestri Panels)
 Analysis of DNA copy number in single cells using custom genome-wide
 targeted DNA sequencing panels for the Mission Bio Tapestri platform. Users
 can easily parse, manipulate, and visualize datasets produced from the
 automated 'Tapestri Pipeline', with support for normalization, clustering,
 and copy number calling. Functions are also available to deconvolute
 multiplexed samples by genotype and parsing barcoded reads from exogenous
 lentiviral constructs.

Package: r-cran-katex
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-v8
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-katex_1.5.0-1.ca2004.1_all.deb
Size: 177652
MD5sum: a8d52809abed80145de704574af95791
SHA1: d26336133f68c8ec204637b651ccee3dbe96e8ca
SHA256: 02bcb9f8378c2de37a3a6ecc8560359480cba1f9296e4e3e8dbd444c7fea4b3d
SHA512: 12c41046a4088e43e1e5129ebcd762731344bb2c768fa8af282188a1cd769198efb94b6bd71f37069c3cc253853217ed0a34e8554d4376218da949b11dcb5e03
Homepage: https://cran.r-project.org/package=katex
Description: CRAN Package 'katex' (Rendering Math to HTML, 'MathML', or R-Documentation Format)
 Convert latex math expressions to HTML and 'MathML' for use in markdown
 documents or package manual pages. The rendering is done in R using the V8
 engine (i.e. server-side), which eliminates the need for embedding the
 'MathJax' library into your web pages. In addition a 'math-to-rd' wrapper is
 provided to automatically render beautiful math in R documentation files.

Package: r-cran-kayadata
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 810
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-forcats, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-scales, r-cran-purrr
Suggests: r-cran-broom, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-kayadata_1.4.0-1.ca2004.1_all.deb
Size: 699384
MD5sum: 5b2214866d911b2acf715d1d828f10ab
SHA1: 2c84d23eb7897bebabbb68f4ccb0006c35500a19
SHA256: 5a308636537ccde2a54ace1c744d2a46f1442080b7207577d4a3a105a6795063
SHA512: 2130cbd9ce27c3a4f4c6daddd4f635fa022c4772d356285488d14c367a2667e2b7982345b229e099118fe1fcbd0465bc30e289c423af855944abf0e43df048dd
Homepage: https://cran.r-project.org/package=kayadata
Description: CRAN Package 'kayadata' (Kaya Identity Data for Nations and Regions)
 Provides data for Kaya identity variables (population, gross domestic
 product, primary energy consumption, and energy-related CO2 emissions) for
 the world and for individual nations, and utility functions for looking up
 data, plotting trends of Kaya variables, and plotting the fuel mix for a
 given country or region. The Kaya identity (Yoichi Kaya and Keiichi
 Yokobori, "Environment, Energy, and Economy: Strategies for Sustainability"
 (United Nations University Press, 1998) and
 <https://en.wikipedia.org/wiki/Kaya_identity>) expresses a nation's or
 region's greenhouse gas emissions in terms of its population, per-capita
 Gross Domestic Product, the energy intensity of its economy, and the
 carbon-intensity of its energy supply.

Package: r-cran-kbmvtskew
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kbmvtskew_1.0.2-1.ca2004.1_all.deb
Size: 39272
MD5sum: 1607da586e718d3c5e1309969372adad
SHA1: 6e3f825dc2624373d77cf3e98a9318b02c5228fa
SHA256: 054fa5604231f7f55c59a9d553d3f6bdc9416a7bea726f3d905db80601afe816
SHA512: 49f6e22ec66f6ade2978e798caf6f55a0a464fb28182b7d7965a7caed50c1dd9044b5f8eb4cb3e6197f3e17afb2cf5947a7000f6b16e6baebedb1cc9cf7eb266
Homepage: https://cran.r-project.org/package=KbMvtSkew
Description: CRAN Package 'KbMvtSkew' (Khattree-Bahuguna's Univariate and Multivariate Skewness)
 Computes Khattree-Bahuguna's univariate and multivariate skewness,
 principal-component-based Khattree-Bahuguna's multivariate skewness. It also
 provides several measures of univariate or multivariate skewnesses
 including, Pearson’s coefficient of skewness, Bowley’s univariate skewness
 and Mardia's multivariate skewness. See Khattree, R. and Bahuguna, M. (2019)
 <doi: 10.1007/s41060-018-0106-1>.

Package: r-cran-kcirt
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 438
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-snowfall, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-kcirt_0.6.0-1.ca2004.1_all.deb
Size: 362388
MD5sum: 2adeabb5ee1833ea7121cce1460d80cb
SHA1: c5e35f571bf3f68fbca5b35096ba29b475de7de5
SHA256: fa069f757d262d5d4be038f48c0e4d15fe110901dea5cd135bda7cf4d3a44f1a
SHA512: 71c1fc021675471b7ff3d67a36c96aa13f42fc98d758675714cd0d0b1119ff4d6a680b317faa8b88e1dd3665ec5f136f6f8e011775451e881a2a36d06f5ded9a
Homepage: https://cran.r-project.org/package=kcirt
Description: CRAN Package 'kcirt' (k-Cube Thurstonian IRT Models)
 Create, Simulate, Fit, Solve k-Cube Thurstonian IRT Models

Package: r-cran-kcmeans
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ckmeans.1d.dp, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kcmeans_0.1.0-1.ca2004.1_all.deb
Size: 25936
MD5sum: 6553b2c8d7fce41275e9168bc8121bfd
SHA1: aa60c5053411a21206ed6dbe19c3b2302003cd3e
SHA256: 89cc7aa37633dc2265ca74890a5bd88bae3a406c40f507e049881b191669aba9
SHA512: 76b90c601d5269d4c387c9e0ff0fbbb342f372885ac6a3a176c79f356dac22eaa8fd3caf886abd5d76a892129c0f999b4e088b6a50c7f9059199ce7fd48faddb
Homepage: https://cran.r-project.org/package=kcmeans
Description: CRAN Package 'kcmeans' (Conditional Expectation Function Estimation withK-Conditional-Means)
 Implementation of the KCMeans regression estimator studied by Wiemann (2023)
 <arXiv:2311.17021> for expectation function estimation conditional on
 categorical variables. Computation leverages the unconditional KMeans
 implementation in one dimension using dynamic programming algorithm of Wang
 and Song (2011) <doi:10.32614/RJ-2011-015>, allowing for global solutions in
 time polynomial in the number of observed categories.

Package: r-cran-kcop
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-copula, r-cran-dplyr, r-cran-gtools, r-cran-orthopolynom
Filename: pool/dists/focal/main/r-cran-kcop_1.0.0-1.ca2004.1_all.deb
Size: 46440
MD5sum: b7802cf0ec436f4e73e2c50a65f2ebc1
SHA1: 0729dfada7bde5cc89ac367059f465c9120cf7be
SHA256: d1f3fe11fa2eb428fe8f956376c6dbba4ff04f90b166c6c871326bd0497c3516
SHA512: e70bf0dadb663dd9d46367ff9d0b4fa26ed0ea4b09ab0cfe487d2d219d66f7e171f8a2492e6e68af27ccddd85e5ca9faa50ad3d2d9f9eccb6eb70cff0f459cdf
Homepage: https://cran.r-project.org/package=Kcop
Description: CRAN Package 'Kcop' (Smooth Test for Equality of Copulas and Clustering Multivariate)
 Implements approaches of non-parametric smooth test to compare
 simultaneously K(K>1) copulas and non-parametric clustering of multivariate
 populations with arbitrary sizes.  See Yves I. Ngounou Bakam and Denys
 Pommeret (2022) <arXiv:2112.05623> and Yves I. Ngounou Bakam and Denys
 Pommeret (2022) <arXiv:2211.06338>.

Package: r-cran-kcopula
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-kcopula_0.1.0-1.ca2004.1_all.deb
Size: 24224
MD5sum: 216d1518db25522473ab875f719cf217
SHA1: 32128f79d6e9d960ab3c456e748774f310fdb9d0
SHA256: 9ae13328d1ccd9a53896bb822da482b05acebfa21d2e378c03e87a30776da6a0
SHA512: 5f8541ec4d26e60aff0012e7f2f7bd510aa38f4d3646266c9a5a0557b5ac2c2d6c8e9628e5ddeec933d4ab249364a3413e0f0a3dd2695c98586a0cd59d94de3e
Homepage: https://cran.r-project.org/package=kcopula
Description: CRAN Package 'kcopula' (The Bivariate K-Copula)
 Provides the density and distribution function of the bivariate K-copula by
 Wollschläger and Schäfer (2016) <doi:10.21314/JOR.2016.342>.

Package: r-cran-kcsknnshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rhandsontable, r-cran-dplyr, r-cran-caret, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-kcsknnshiny_0.1.0-1.ca2004.1_all.deb
Size: 21684
MD5sum: 1014bf720e6117fedaef5dde65cc6362
SHA1: 0bd4e670ef3a596e11074c651c3d48b50df58e55
SHA256: 4db43398ed8c369205f38b342336b9a6b6d22520e4f1d0bbb2e1062037ad5e60
SHA512: c788c40dbc3eb25933d9d2325bbb391ef7f0ee69db63cf0b85ce9407b32d77cf073fd330faaa12ce42c4d8e58c0d1fe433a368a76218c93690ae0aa971c92203
Homepage: https://cran.r-project.org/package=KCSKNNShiny
Description: CRAN Package 'KCSKNNShiny' (K-Nearest Neighbour Classifier)
 It predicts any attribute (categorical) given a set of input numeric
 predictor values. Note that only numeric input predictors should be given.
 The k value can be chosen according to accuracies provided. The attribute to
 be predicted can be selected from the dropdown provided (select categorical
 attribute).  This is because categorical attributes cannot be given as
 inputs here. A 'handsontable' is also provided to enter the input predictor
 values.

Package: r-cran-kcsnbshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rhandsontable, r-cran-dplyr, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-kcsnbshiny_0.1.0-1.ca2004.1_all.deb
Size: 20652
MD5sum: adb8f6f38ecc8bf2d8fa0ca2f7f74739
SHA1: 0ff048f70f88c53818066997f340ef846e8ca26f
SHA256: 6789d4106cc1652815528c15a346ae45b3542387a1bdd8365381fabf3e51d815
SHA512: 00ac4bdfc35207806c0a39f7c5ee3d28fbb76ecfa5d09b28575206ef2419000d6c26ede7b008b9c0f8f302cc02472304197d8c67b2501fc019d325c3cc2f3faa
Homepage: https://cran.r-project.org/package=KCSNBShiny
Description: CRAN Package 'KCSNBShiny' (Naive Bayes Classifier)
 Predicts any variable in any categorical dataset for given values of
 predictor variables.  If a dataset contains 4 variables, then any variable
 can be predicted based on the values of the other three variables given by
 the user.  The user can upload their own datasets and select what variable
 they want to predict.  A 'handsontable' is provided to enter the predictor
 values and also accuracy of the prediction is also shown.

Package: r-cran-kdensity
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-univariateml, r-cran-eql
Suggests: r-cran-extradistr, r-cran-skewhyperbolic, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kdensity_1.1.1-1.ca2004.1_all.deb
Size: 268056
MD5sum: 7714340c4646dfe69e1a9931cb21cfb1
SHA1: 7aeb45fbea6e6ac6525c197145c9b80a1de34a9f
SHA256: 58ebe8185b34711e87acb81b3a49a9a7eb378f67c4d373e5aaf44ddf21353ef5
SHA512: 06f4f3c9e8718356e69bf296102d63f4a7a1c44277f6263b055616be9454df316fa5c24d24cc3c991cebdf6facc19dfdb854dc48598410a4cf47010a412c35f1
Homepage: https://cran.r-project.org/package=kdensity
Description: CRAN Package 'kdensity' (Kernel Density Estimation with Parametric Starts and AsymmetricKernels)
 Handles univariate non-parametric density estimation with parametric starts
 and asymmetric kernels in a simple and flexible way.  Kernel density
 estimation with parametric starts involves fitting a parametric density to
 the data before making a correction with kernel density estimation, see
 Hjort & Glad (1995) <doi:10.1214/aos/1176324627>.  Asymmetric kernels make
 kernel density estimation more efficient on bounded intervals such as (0, 1)
 and the positive half-line. Supported asymmetric kernels are the gamma
 kernel of Chen (2000) <doi:10.1023/A:1004165218295>, the beta kernel of Chen
 (1999) <doi:10.1016/S0167-9473(99)00010-9>, and the copula kernel of Jones &
 Henderson (2007) <doi:10.1093/biomet/asm068>.  User-supplied kernels,
 parametric starts, and bandwidths are supported.

Package: r-cran-kdetrees
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-distory, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-kdetrees_0.1.5-1.ca2004.1_all.deb
Size: 338968
MD5sum: 139da401c104a5bd321823bce0d98f95
SHA1: 1008c3ffa5b9e9b1dc31376780cde23fbc0e9ea2
SHA256: 19290171ace9e0eab889555def52ea9942de8bb25a52074e839153e54dd01ef5
SHA512: b7171b00fa3a51de0cd2bee4a16c80bd9ceec6d1fb96b1a2903d1c3d7e0d0c9edef17dc8c77bae4e6d25d1d73a6fd352f4030ff32acf1d4e22f67f9987544c03
Homepage: https://cran.r-project.org/package=kdetrees
Description: CRAN Package 'kdetrees' (Nonparametric method for identifying discordant phylogenetictrees)
 A non-parametric method for identifying potential outlying observations in a
 collection of phylogenetic trees based on the methods of Owen and Provan
 (2011). Such discordant trees may indicate problems with sequence annotation
 or tree reconstruction, or they may represent interesting biological
 phenomena, such as horizontal gene transfers.

Package: r-cran-kdglm
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10952
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-extradistr, r-cran-rfast, r-cran-generics, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plotly, r-cran-tidyverse, r-cran-spdep, r-cran-sf, r-cran-geobr
Filename: pool/dists/focal/main/r-cran-kdglm_1.2.7-1.ca2004.1_all.deb
Size: 2125056
MD5sum: 7db9f258fb3de34701a7e5b017430cda
SHA1: dd5096db51c077ae626ea89ecb77e1de21a87361
SHA256: 75cd6669873f65bf09ccd4bb74d86dc1ee4daa25a61d1fd9880ebfe9eec2cc0d
SHA512: a768050e728606c8dd2acae6d48b312cbef00522fcda6fbf0563977a9356bedb2f707e5a06ba9e777c8a7bad2b5618b2f783cc233d7f30b3e267988e122c641f
Homepage: https://cran.r-project.org/package=kDGLM
Description: CRAN Package 'kDGLM' (Bayesian Analysis of Dynamic Generalized Linear Models)
 Provide routines for filtering and smoothing, forecasting, sampling and
 Bayesian analysis of Dynamic Generalized Linear Models using the methodology
 described in Alves et al. (2024)<doi:10.48550/arXiv.2201.05387> and dos
 Santos Jr. et al. (2024)<doi:10.48550/arXiv.2403.13069>.

Package: r-cran-kdist
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kdist_0.2-1.ca2004.1_all.deb
Size: 25268
MD5sum: a99d3b56fc4f9aad0a642a65b33c6979
SHA1: 80939b5728381c5f5401190268182a9cfe2081f8
SHA256: bcb5b494b65bc5ec097069f27681b5d8b2f9bf27d523f15c669a991a4e45254d
SHA512: 86ff67556bb37f9bfa4437335aeb17d89997055879cb5874399aea527bd9863412d5094129553d79b966571cbdb5b15ba7e656fedb307e53fbab3b25146a325f
Homepage: https://cran.r-project.org/package=kdist
Description: CRAN Package 'kdist' (K-Distribution and Weibull Paper)
 Density, distribution function, quantile function and random generation for
 the K-distribution. A plotting function that plots data on Weibull paper and
 another function to draw additional lines. See results from package in T
 Lamont-Smith (2018), submitted J. R. Stat. Soc.

Package: r-cran-kdml
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-np, r-cran-mass, r-cran-markdown
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kdml_1.1.1-1.ca2004.1_all.deb
Size: 154324
MD5sum: 399d8bc92891df4e898ad387b7cc0154
SHA1: 9768474af2f72b939e1cff2b94f57a03333ea91d
SHA256: b1fdcab7d6f284b9755abf0e419abb1efdf9d9c1bd14329ad19db4d694ed5f2e
SHA512: 9ac4ef4785200d913c4be1edd38300a2be4ee8a7cdf23570785bd94191427e664eb9f4aa20fcedf0b0b4e07ef864bed0e1a2f90eb7476afeef0aa238195cc498
Homepage: https://cran.r-project.org/package=kdml
Description: CRAN Package 'kdml' (Kernel Distance Metric Learning for Mixed-Type Data)
 Distance metrics for mixed-type data consisting of continuous, nominal, and
 ordinal variables. This methodology uses additive and product kernels to
 calculate similarity functions and metrics, and selects variables relevant
 to the underlying distance through bandwidth selection via maximum
 similarity cross-validation. These methods can be used in any distance-based
 algorithm, such as distance-based clustering. For further details, we refer
 the reader to Ghashti and Thompson (2024) <doi:10.1007/s00357-024-09493-z>
 for dkps() methodology, and Ghashti (2024) <doi:10.14288/1.0443975> for
 dkss() methodology.

Package: r-cran-kdry
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-hmisc, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-lintr, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kdry_0.0.2-1.ca2004.1_all.deb
Size: 89184
MD5sum: c5d50bb38a8751d1826717cd14c181ff
SHA1: 3a7bc076898bd0578d224f4c794d686fb2bdd369
SHA256: 5c3c6ea39369c94311a924f7087b62f69d9305863c656c52be577cce6dce7aaa
SHA512: 4a73c5309cf1069361d07a8ffda5cc156ecd52eebc5c22606e5d4d82e046e88c9bc614716ecadfc2e42129c43397db67c1df86c128bf2155d0012456239e3a8d
Homepage: https://cran.r-project.org/package=kdry
Description: CRAN Package 'kdry' (K's "Don't Repeat Yourself"-Collection)
 A collection of personal helper functions to avoid redundancy in the spirit
 of the "Don't repeat yourself" principle of software development
 (<https://en.wikipedia.org/wiki/Don%27t_repeat_yourself>).

Package: r-cran-kedd
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 724
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-nor1mix, r-cran-ks, r-cran-sm, r-cran-locfit, r-cran-orthopolynom
Filename: pool/dists/focal/main/r-cran-kedd_1.0.4-1.ca2004.1_all.deb
Size: 609932
MD5sum: 5123839cc873bfe4c156a636bb5cde26
SHA1: 935072b2b10902ed9deb4a4f198bb4b6ea96206f
SHA256: 1c8b92637ec507694ff320bd4e6ea962ef521ae4e6efbe5fe08a7aaf555a57b9
SHA512: 6745b01983adf7699fa83e81bdfb9c915a34c49c66efed655ac6eaff383ae035ddcdffd75b468523067edd903065316893ea7cc85a35a4977a5b5b3f36e3b6b9
Homepage: https://cran.r-project.org/package=kedd
Description: CRAN Package 'kedd' (Kernel Estimator and Bandwidth Selection for Density and ItsDerivatives)
 Smoothing techniques and computing bandwidth selectors of the nth derivative
 of a probability density for one-dimensional data (described in Arsalane
 Chouaib Guidoum (2020) <arXiv:2012.06102> [stat.CO]).

Package: r-cran-keep
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-oarray
Filename: pool/dists/focal/main/r-cran-keep_1.0-1.ca2004.1_all.deb
Size: 28880
MD5sum: 39754c2173874dd3269cc9e14f9f09f6
SHA1: de7112cf84438f1617735eff70a9319070205f46
SHA256: eccce877719cc022c9525adf68f5658b210d7b00edfc7d8c38070a299a53e6df
SHA512: 2578c59ee64a964292365a33c8387270681bf5357bba13bce438b8f29fe03a181c84243bf88a51094743b804036cb61cc6eb8ad08d5be2f1f2c61fa9f6feb727
Homepage: https://cran.r-project.org/package=keep
Description: CRAN Package 'keep' (Arrays with Better Control over Dimension Dropping)
 Provides arrays with flexible control over dimension dropping when
 subscripting.

Package: r-cran-kehra
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-raster, r-cran-reshape2, r-cran-stringr, r-cran-sp, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-kehra_0.1-1.ca2004.1_all.deb
Size: 27444
MD5sum: d5f07f00f6c361a943743a6a3b7e8a88
SHA1: 70511be14bfb9eabc031b63847f612e3d37d6f91
SHA256: 49bf8ffb4aaf71de6caf2fef86242a5a7ff302c4758f42e6e0191cf4668ee62e
SHA512: e9969a05b551afe3140babab288330e7d7bd15872674a6377c7e470322017d54a1afd56b506a9318cbccd39512d1003d1bf002f6d7cc251b2c73109f9eea9802
Homepage: https://cran.r-project.org/package=kehra
Description: CRAN Package 'kehra' (Collect, Assemble and Model Air Pollution, Weather and HealthData)
 Collection of utility functions used in the KEHRA project (see
 http://www.brunel.ac.uk/ife/britishcouncil). It refers to the
 multidimensional analysis of air pollution, weather and health data.

Package: r-cran-kelvin
Architecture: all
Version: 2.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bessel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kelvin_2.0-3-1.ca2004.1_all.deb
Size: 228040
MD5sum: e0b210103386192a82dd579c8c962aa7
SHA1: 73fce75b725c27fe06a60c7ddaeb50989d9d9822
SHA256: f40b0e0354b8544b6aae115d09acefe91b482c7beda7245f454122235e57d1c7
SHA512: 8aaf3757dbbd17af80a78622e269dce29a52302f0601ade2baf76d746fd16c1ac41a89b8fb621148b198ec9060d2c956328f285f67a3f70b7a496f004a97ec1b
Homepage: https://cran.r-project.org/package=kelvin
Description: CRAN Package 'kelvin' (Calculate Solutions to the Kelvin Differential Equation usingBessel Functions)
 Uses Bessel functions to calculate the fundamental and complementary
 analytic solutions to the Kelvin differential equation.

Package: r-cran-kendallrandomwalks
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-actuar
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-kendallrandomwalks_0.9.4-1.ca2004.1_all.deb
Size: 214156
MD5sum: 21ed1cf88dc33d533befc8e495af3eac
SHA1: a07781afcd4c866fabbaf50f9f1207a8a0e91413
SHA256: da20350b26e000a867c899778ef034f78b64b58edb9af4bf3235cc9a549e3543
SHA512: d6dddb143927fe190c61545dcd4b809fdd08474ba83fbefa7a76882fd9ecc59af35595bbd3ef1d904ac5f0797b3901c9ae98dadbf1de60f2a5fe02d7390d6104
Homepage: https://cran.r-project.org/package=kendallRandomWalks
Description: CRAN Package 'kendallRandomWalks' (Simulate and Visualize Kendall Random Walks and RelatedDistributions)
 Kendall random walks are a continuous-space Markov chains generated by the
 Kendall generalized convolution. This package provides tools for simulating
 these random walks and studying distributions related to them. For more
 information about Kendall random walks see Jasiulis-Gołdyn (2014)
 <arXiv:1412.0220>.

Package: r-cran-kendl
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kendl_1.1-1.ca2004.1_all.deb
Size: 27528
MD5sum: a50fef3d70fa9ff5de5e2f42ab603b6b
SHA1: 6f8a7723cceed64531881ade8dfc545ca240f613
SHA256: 159a3046ccb6e20310c49f62e863103aded4ba2c8bf8e291ad0f2871d2d5d6a5
SHA512: 42e4dfb195d0b101bfcfe44ff985a71c06e48c5ec2ee9ddea8a07f29127b2f8ad14491a2a1ea0454236430bb8b1e1619b78a7813bf101c097dd52d66605fd3bc
Homepage: https://cran.r-project.org/package=KENDL
Description: CRAN Package 'KENDL' (Kernel-Smoothed Nonparametric Methods for Environmental ExposureData Subject to Detection Limits)
 Calculate the kernel-smoothed nonparametric estimator for the exposure
 distribution in presence of detection limits.

Package: r-cran-keng
Architecture: all
Version: 2024.12.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-car, r-cran-effectsize, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-keng_2024.12.15-1.ca2004.1_all.deb
Size: 117260
MD5sum: 89ddf897a926f36af5eb570910c723dc
SHA1: de754d05ea3d0b24bcb761fd36b47456d961619e
SHA256: 090c89c5d5ad66745d174ba973f0fdcecbe0ade60ab0fdcb19c88fda93bb7114
SHA512: fd046df2b6b08e2778f86e1188b57e6ab15cde4ecaaa731cab08e3cb66038e4a37aec5d695c2cf020d293102fa101678a5b9ed61f56301d14ba9d53699cb5384
Homepage: https://cran.r-project.org/package=Keng
Description: CRAN Package 'Keng' (Knock Errors Off Nice Guesses)
 Miscellaneous functions and data used in psychological research and
 teaching. Keng currently has a built-in dataset depress, and could (1) scale
 a vector; (2) compute the cut-off values of Pearson's r with known sample
 size; (3) test the significance and compute the post-hoc power for Pearson's
 r with known sample size; (4) conduct prior power analysis and plan the
 sample size for Pearson's r; (5) compare lm()'s fitted outputs using
 R-squared, f_squared, post-hoc power, and PRE (Proportional Reduction in
 Error, also called partial R-squared or partial Eta-squared); (6) calculate
 PRE from partial correlation, Cohen's f, or f_squared; (7) conduct prior
 power analysis and plan the sample size for one or a set of predictors in
 regression analysis; (8) conduct post-hoc power analysis for one or a set of
 predictors in regression analysis with known sample size.

Package: r-cran-kensyn
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-lme4, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-kensyn_0.3-1.ca2004.1_all.deb
Size: 68972
MD5sum: 255f6f3734bcea6ae76342913a68f9db
SHA1: 20dadc05aa0a305a1246ccbdb74874ee3f965f57
SHA256: b97de09715d1929e3320e555e8812608a361cf3408b090d3eea673e7407f3821
SHA512: a34d56c4756ab14980ef69e52963c812188d253b2cff4085cdf07bc96208996306363689ddcc9e08fcc31b885374012d29055df4ed8222238479f1476249d034
Homepage: https://cran.r-project.org/package=KenSyn
Description: CRAN Package 'KenSyn' (Knowledge Synthesis in Agriculture - From Experimental Networkto Meta-Analysis)
 Demo and dataset accompaying the books : De l'analyse des réseaux
 expérimentaux à la méta-analyse: Méthodes et applications avec le logiciel R
 pour les sciences agronomiques et environnementales (Published 2018-06-28,
 Quae, for french version) by David Makowski, Francois Piraux and Francois
 Brun -
 <https://www.quae.com/produit/1514/9782759228164/de-l-analyse-des-reseaux-experimentaux-a-la-meta-analyse>
 Knowledge Synthesis in Agriculture : from Experimental Network to
 Meta-Analysis (in preparation for 2018-06, Springer , for English version)
 by David Makowski, Francois Piraux and Francois Brun A full description of
 all the material is in both books.  ACKNOWLEDGMENTS : The French network
 "RMT modeling and data analysis for agriculture" (<http://www.modelia.org>)
 have contributed to the development of this R package. This project and
 network are lead by ACTA (French Technical Institute for Agriculture) and
 was funded by a grant from the Ministry of Agriculture and Fishing of
 France.

Package: r-cran-kepted
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-expm, r-cran-compquadform, r-cran-cubature
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kepted_0.2.0-1.ca2004.1_all.deb
Size: 56620
MD5sum: 986388830f18db6b945a97deeb0ffb12
SHA1: b35f62072947b04f1bb965c3d83e7dd692abb24c
SHA256: 02eda5b8241633d273d7c0a62d75053af0fe7acfd3ec8fc96ccb01aa81d281d3
SHA512: 0338134a926d95e1b9b161836ed14b36b47bf7be683ac7b650170dc030fb763cc0ace545eff07937923ff5f4c864c5c781dd44e049e13a234c0f3afa234f6ad6
Homepage: https://cran.r-project.org/package=KEPTED
Description: CRAN Package 'KEPTED' (Kernel-Embedding-of-Probability Test for Elliptical Distribution)
 Provides an implementation of a kernel-embedding of probability test for
 elliptical distribution. This is an asymptotic test for elliptical
 distribution under general alternatives, and the location and shape
 parameters are assumed to be unknown. Some side-products are posted,
 including the transformation between rectangular and polar coordinates and
 two product-type kernel functions. See Tang and Li (2024)
 <doi:10.48550/arXiv.2306.10594> for details.

Package: r-cran-kequate
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltm, r-cran-equateirt, r-cran-mirt
Filename: pool/dists/focal/main/r-cran-kequate_1.6.4-1.ca2004.1_all.deb
Size: 912676
MD5sum: d64e23a11fdbda6eed69345995ba8823
SHA1: 10978ea564d93e2d7f4a405dae6e915d018e359e
SHA256: 885107b5533e3758c7a7b556eee36db5bd615bf643dc2ce770ea64b14c66bf8e
SHA512: e41e370477a400f49ea7291d29a70bda5996ef4bcb2ea13c5a1ea1b8b1fa827520c7f7804467a756c314d5673a84e27ed0f6f103ba945cac4a28bada1e837609
Homepage: https://cran.r-project.org/package=kequate
Description: CRAN Package 'kequate' (The Kernel Method of Test Equating)
 Implements the kernel method of test equating as defined in von Davier, A.
 A., Holland, P. W. and Thayer, D. T. (2004) <doi:10.1007/b97446> and
 Andersson, B. and Wiberg, M. (2017) <doi:10.1007/s11336-016-9528-7> using
 the CB, EG, SG, NEAT CE/PSE and NEC designs, supporting Gaussian, logistic
 and uniform kernels and unsmoothed and pre-smoothed input data.

Package: r-cran-keras3
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 14664
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-generics, r-cran-reticulate, r-cran-tensorflow, r-cran-tfruns, r-cran-magrittr, r-cran-zeallot, r-cran-fastmap, r-cran-glue, r-cran-cli, r-cran-rlang, r-cran-dotty
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-callr, r-cran-tfdatasets, r-cran-withr, r-cran-png, r-cran-jsonlite, r-cran-purrr, r-cran-rstudioapi, r-cran-r6, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-keras3_1.4.0-1.ca2004.1_all.deb
Size: 8170888
MD5sum: 75739ce730b748763ac1470aba4a4f8c
SHA1: e892306c74d0f0f49ec559db9084b3f3c362a292
SHA256: fd0773ab10ed93795d1d581ab87439922d7b5e2b3693c35dc30141ff955a0a05
SHA512: 994dc1c2b5c00d9cf0cdfa0179327c6e2281f9b38cc94578e966928ad812026aec06e1936b8b98199e65533f2405df77069c46c7a19ea6d09ba47251102bdfa2
Homepage: https://cran.r-project.org/package=keras3
Description: CRAN Package 'keras3' (R Interface to 'Keras')
 Interface to 'Keras' <https://keras.io>, a high-level neural networks API.
 'Keras' was developed with a focus on enabling fast experimentation,
 supports both convolution based networks and recurrent networks (as well as
 combinations of the two), and runs seamlessly on both CPU and GPU devices.

Package: r-cran-keras
Architecture: all
Version: 2.15.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4338
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-generics, r-cran-reticulate, r-cran-tensorflow, r-cran-tfruns, r-cran-magrittr, r-cran-zeallot, r-cran-glue, r-cran-r6, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-callr, r-cran-tfdatasets, r-cran-withr, r-cran-png, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-keras_2.15.0-1.ca2004.1_all.deb
Size: 2827616
MD5sum: b6130793abc45a09d9c6fdc5fa9c6279
SHA1: 9e19291a0b7f1998fcdd74c9789557377e5e2533
SHA256: f2c70faa6d297bcb927c8173cd5fe4473192e2abbcf7464825c5bf86c629bc59
SHA512: 175c240792d223bef81241db328c3457dc75a88a7e9c0ed2426512dabdf0fd38b8d2f856b966a9f05d9f36a67269db26f5c8395ead932b5969b3630e6b6ef985
Homepage: https://cran.r-project.org/package=keras
Description: CRAN Package 'keras' (R Interface to 'Keras')
 Interface to 'Keras' <https://keras.io>, a high-level neural networks 'API'.
 'Keras' was developed with a focus on enabling fast experimentation,
 supports both convolution based networks and recurrent networks (as well as
 combinations of the two), and runs seamlessly on both 'CPU' and 'GPU'
 devices.

Package: r-cran-kerasr
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-kerasr_0.8.1-1.ca2004.1_all.deb
Size: 404752
MD5sum: 43c25f740d89fff3055e5bba50daa1de
SHA1: bf0c6996245440ad8160998d7b894dac1f1308cf
SHA256: c25dfd66c9acaa37831102ad5b17f1b0b7c3191ab5624af37e04cd777e65631f
SHA512: a1bdfee542b63b1b6a983e48ddfb35937d15dfeab39a97a58c799b6e507532a1e43ff1a0dbeabd72245594732b5ccbc89f0b4e6be97ef14cb7a1c36d2de5a315
Homepage: https://cran.r-project.org/package=kerasR
Description: CRAN Package 'kerasR' (R Interface to the Keras Deep Learning Library)
 Provides a consistent interface to the 'Keras' Deep Learning Library
 directly from within R. 'Keras' provides specifications for describing dense
 neural networks, convolution neural networks (CNN) and recurrent neural
 networks (RNN) running on top of either 'TensorFlow' or 'Theano'. Type
 conversions between Python and R are automatically handled correctly, even
 when the default choices would otherwise lead to errors. Includes complete R
 documentation and many working examples.

Package: r-cran-kerastuner
Architecture: all
Version: 0.1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-tensorflow, r-cran-rstudioapi, r-cran-plotly, r-cran-data.table, r-cran-rjsonio, r-cran-rjson, r-cran-tidyjson, r-cran-dplyr, r-cran-echarts4r, r-cran-crayon, r-cran-magick
Suggests: r-cran-keras3, r-cran-knitr, r-cran-tfdatasets, r-cran-testthat, r-cran-purrr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kerastuner_0.1.0.7-1.ca2004.1_all.deb
Size: 96880
MD5sum: d3ab8dbcb21b22b4bae34d7377251345
SHA1: a92ce330ad1d93726e9fc5606555e2bf175446e0
SHA256: fa2ab6ae8f7c75754d2c69b0ed61233193a926d4345975027e7ebca08d813bc9
SHA512: 7d85e74a886f72dd25d1e0c56a042bc0db91f1d7b1495029cc103983aa58af6ff072510da86c660940d9eb4c2531701221d17f2fa04aa185720234f29a85818c
Homepage: https://cran.r-project.org/package=kerastuneR
Description: CRAN Package 'kerastuneR' (Interface to 'Keras Tuner')
 'Keras Tuner' <https://keras-team.github.io/keras-tuner/> is a hypertuning
 framework made for humans.  It aims at making the life of AI practitioners,
 hypertuner algorithm creators and model designers as simple as possible by
 providing them with a clean and easy to use API for hypertuning.  'Keras
 Tuner' makes moving from a base model to a hypertuned one quick and easy by
 only requiring you to change a few lines of code.

Package: r-cran-kerdaa
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-kerdaa_0.1.1-1.ca2004.1_all.deb
Size: 20472
MD5sum: 3f587a93b0f9491fcbe341424c6d689c
SHA1: bfbc3a65ca35eb129b030294832c37adfe3d81c4
SHA256: a83317920d10e2bdaa817e8077b83412fc7d200a95f1cea6de7d9ace29e873a8
SHA512: fd325342c0d9953680a93d74f9582ed8c874a8e19b847e17d030761e6c08b13127c24c6fecfaec965b8418125a688b7dcdda27d98442019a1d4d9e041e6d4514
Homepage: https://cran.r-project.org/package=kerDAA
Description: CRAN Package 'kerDAA' (New Kernel-Based Test for Differential Association Analysis)
 A new practical method to evaluate whether relationships between two sets of
 high-dimensional variables are different or not across two conditions.
 Song, H. and Wu, M.C. (2023) <arXiv:2307.15268>.

Package: r-cran-kerdiest
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-chron, r-cran-date, r-cran-evir
Filename: pool/dists/focal/main/r-cran-kerdiest_1.3-1-1.ca2004.1_all.deb
Size: 98028
MD5sum: 87210a5e82d6731bee06b9fb50818da0
SHA1: 52cbd970b185d27e72041964fd8d1e5a54fb9933
SHA256: 68d7eb55ce7ba50945e012f872a48ba4a627d286cb386a7469db1172a869a465
SHA512: 817c4f6f8d3e6c52ab1a45b3fe16a5f9f70a79016b4cd6a049d4b2a9ebb97d8a299af618f0a7fb42651fd74612b67f7e108c5a777f15107def126394bc46194f
Homepage: https://cran.r-project.org/package=kerdiest
Description: CRAN Package 'kerdiest' (Nonparametric Kernel Estimation of Distribution Function)
 Nonparametric kernel distribution function estimation is performed. Three
 bandwidth selectors are implemented: the plug-in selectors of Altman and
 Leger and of Polansky and Baker, and the cross-validation selector of
 Bowman, Hall and Prvan. The exceedance function, the mean return period and
 the return level are also computed. For details, see Quintela-del-Río and
 Estévez-Pérez (2012) <doi:10.18637/jss.v050.i08>.

Package: r-cran-kernelfactory
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-auc, r-cran-genalg, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-kernelfactory_0.3.0-1.ca2004.1_all.deb
Size: 54720
MD5sum: e7a229191ccff736dde3c75aeb4dce02
SHA1: 908b815430069ffd5a4117ef790aea90484c145a
SHA256: e2999a9a89b7afd65b648ecf09b9098a8f933ec1f2a3021a1daa5e0444fa67d6
SHA512: 8498e7cd2a31f2b43ab8a20767077b3cb89c61c08efd41ca56108cc487b359629fa462fec23d0a4d58e70c577a1c7d50ec23d92a019da5fd1789cb913263810c
Homepage: https://cran.r-project.org/package=kernelFactory
Description: CRAN Package 'kernelFactory' (Kernel Factory: An Ensemble of Kernel Machines)
 Binary classification based on an ensemble of kernel machines ("Ballings, M.
 and Van den Poel, D. (2013), Kernel Factory: An Ensemble of Kernel Machines.
 Expert Systems With Applications, 40(8), 2904-2913"). Kernel factory is an
 ensemble method where each base classifier (random forest) is fit on the
 kernel matrix of a subset of the training data.

Package: r-cran-kernelheaping
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ks, r-cran-sparr, r-cran-sp, r-cran-plyr, r-cran-dplyr, r-cran-fastmatch, r-cran-fitdistrplus, r-cran-gb2, r-cran-magrittr, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-kernelheaping_2.3.0-1.ca2004.1_all.deb
Size: 171520
MD5sum: a774eaff10fe17ddb58843c54f85d6c6
SHA1: 2b76225504dd24975e3036df0fca55165a8da3ce
SHA256: b13513f5c2f7628343c681642a6d8d466f3b5ac296d80da328553968745ee192
SHA512: 00590487312bad9413e99beaeee531365594daf10a17dcfc66638fe4a0da58d2bc219d2b9dfcdbca3f528195aeec0db8fce53037e3442346ae4df5222b8a53a6
Homepage: https://cran.r-project.org/package=Kernelheaping
Description: CRAN Package 'Kernelheaping' (Kernel Density Estimation for Heaped and Rounded Data)
 In self-reported or anonymised data the user often encounters heaped data,
 i.e. data which are rounded (to a possibly different degree of coarseness).
 While this is mostly a minor problem in parametric density estimation the
 bias can be very large for non-parametric methods such as kernel density
 estimation. This package implements a partly Bayesian algorithm treating the
 true unknown values as additional parameters and estimates the rounding
 parameters to give a corrected kernel density estimate. It supports various
 standard bandwidth selection methods. Varying rounding probabilities
 (depending on the true value) and asymmetric rounding is estimable as well:
 Gross, M. and Rendtel, U. (2016) (<doi:10.1093/jssam/smw011>).
 Additionally, bivariate non-parametric density estimation for rounded data,
 Gross, M. et al. (2016) (<doi:10.1111/rssa.12179>), as well as data
 aggregated on areas is supported.

Package: r-cran-kernelphil
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-benchmarkme, r-cran-directlabels, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-hmisc, r-cran-pbapply, r-cran-rgdal, r-cran-reshape2, r-cran-wordspace
Filename: pool/dists/focal/main/r-cran-kernelphil_0.1-1.ca2004.1_all.deb
Size: 122668
MD5sum: 580e64eec6843c56fd5b394c6750aa48
SHA1: ad3b5c67388652e5eae39f16e4203bdb91ff181e
SHA256: 2a0af56d2f8e71e2bc9315e44cf633e8f9b8d149338cbbf76e22d79ee8ca9076
SHA512: 0f3e403044f0c801a7aac67615e53a9f436201889777e7070f6fbd5f98be3967ac6b844406e395578857c2be182a438523cde4b459d65baaa22f844b94a7da00
Homepage: https://cran.r-project.org/package=kernelPhil
Description: CRAN Package 'kernelPhil' (Kernel Smoothing Tools for Philology and Historical Dialectology)
 Contains kernel smoothing tools designed for use by historical
 dialectologists and philologists for exploring spatial and temporal patterns
 in noisy historical language data, such as that obtained from historical
 texts.  The main way in which these might differ from other implementations
 of kernel smoothing is that they assume that the function (linguistic
 variable) being explored has the form of the relative frequency of a series
 of discrete possibilities (linguistic variants). This package also offers a
 way of exploring distributions in 2-dimensional space and in time with
 separate kernels, and tools for identifying appropriate bandwidths for
 these.

Package: r-cran-kernelshap
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2014
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-mass
Suggests: r-cran-dofuture, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kernelshap_0.7.0-1.ca2004.1_all.deb
Size: 237724
MD5sum: 832fd6f89634641f44418931b98986d7
SHA1: 8456efd4417e7cb3d7fadd452ba630f7caaeb8d8
SHA256: b976e00d5923824f41379f6975361cb1764a44c5cbca92627b3a846251ef6889
SHA512: d8cbb3b02049b6823d25872afbdcb1cf524d5d7c0e8576f499a22e5f8ca9e8a4b12e0a9246ab00b5f3b0d90e0ba372fa2b38b6536ca6707d21db1582f737122b
Homepage: https://cran.r-project.org/package=kernelshap
Description: CRAN Package 'kernelshap' (Kernel SHAP)
 Efficient implementation of Kernel SHAP, see Lundberg and Lee (2017), and
 Covert and Lee (2021) <http://proceedings.mlr.press/v130/covert21a>.
 Furthermore, for up to 14 features, exact permutation SHAP values can be
 calculated.  The package plays well together with meta-learning packages
 like 'tidymodels', 'caret' or 'mlr3'.  Visualizations can be done using the
 R package 'shapviz'.

Package: r-cran-kernhaz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-foreach, r-cran-doparallel, r-cran-ga
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-kernhaz_0.1.0-1.ca2004.1_all.deb
Size: 101624
MD5sum: a3e24cb4eb5df92b7832e66cb7f72c77
SHA1: 63cf046e25e0edf411b0198a7523d95fdd33ef95
SHA256: e7f8c4621a75346419a11de32a0f758b96d8834acb1b97e2a3bf48af8012108c
SHA512: 82e7688a59a5c43e9ad1e95bca11416795097cd51b433edc7b7e431cf3eb57f7f93ef1033539af22ef3373a1b078c2d91c85c7d290ad07d4b096007bd86b9c71
Homepage: https://cran.r-project.org/package=kernhaz
Description: CRAN Package 'kernhaz' (Kernel Estimation of Hazard Function in Survival Analysis)
 Producing kernel estimates of the unconditional and conditional hazard
 function for right-censored data including methods of bandwidth selection.

Package: r-cran-kernopt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kernopt_1.0.0-1.ca2004.1_all.deb
Size: 163592
MD5sum: aa637d99ec0682ef24a94675222b4970
SHA1: 2b5642d3dad975119cab1c7da8a49c01faa7dbdd
SHA256: 8dc9f236f90dec21b5618f410352a107f208b782d143e7cf4b2aaab5dc49720a
SHA512: db6c7e4c3f35f72be4a9cce295e194a49306e03f0a09bebce4d425dc015de0640493974fb811baeea3dbc6a1f73cdba4f2d8dac5c81b6b73984a7c053e48936a
Homepage: https://cran.r-project.org/package=kernopt
Description: CRAN Package 'kernopt' (Estimating Count Data Distributions with Discrete OptimalSymmetric Kernel)
 Implementation of Discrete Symmetric Optimal Kernel for estimating count
 data distributions, as described by T. Senga Kiessé and G. Durrieu (2024)
 <doi:10.1016/j.spl.2024.110078>.The nonparametric estimator using the
 discrete symmetric optimal kernel was illustrated on simulated data sets and
 a real-word data set included in the package, in comparison with two other
 discrete symmetric kernels.

Package: r-cran-kernplus
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-kernsmooth, r-cran-mixtools
Filename: pool/dists/focal/main/r-cran-kernplus_0.1.2-1.ca2004.1_all.deb
Size: 68136
MD5sum: 4dbd192e9db691b29450d083153767a0
SHA1: 050e62241648a9cc33851eaebf7656bac87d83f3
SHA256: 51712f9b0015322a596d525e070510c3b42b9b82d08e44e788c1351ed3a43f1c
SHA512: f6aaf253e28e2bda43bac1b07a54f94ae10a3b61c28a51913cfc5324ed85c3b3bb028b6d852717e17b2792960b2791a17523a00ae0c2e7c03fd9c0ad2b81ffd6
Homepage: https://cran.r-project.org/package=kernplus
Description: CRAN Package 'kernplus' (A Kernel Regression-Based Multidimensional Wind Turbine PowerCurve)
 Provides wind energy practitioners with an effective machine learning-based
 tool that estimates a multivariate power curve and predicts the wind power
 output for a specific environmental condition.

Package: r-cran-kernscr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-readxl, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-kernscr_1.0.6-1.ca2004.1_all.deb
Size: 100108
MD5sum: e81debc26e3699bcffdc928e28ac4c69
SHA1: 315f2f863ca5d7144e492e7dc3e55f52ff35f8a3
SHA256: 0b60ec59b1e6ec0501b133df07623990e64bbd1c368db29096d4375de89d59f9
SHA512: ab8b2a53f16e2c6ef5de16441e5e0786ecb638efc3af25a15d16f193cfe64b9d17fe2a1dc3337a5bbfa16d606c5357ab44563f208b0467935930055cf0933261
Homepage: https://cran.r-project.org/package=kernscr
Description: CRAN Package 'kernscr' (Kernel Machine Score Test for Semi-Competing Risks)
 Kernel Machine Score Test for Pathway Analysis in the Presence of
 Semi-Competing Risks. Method is detailed in: Neykov, Hejblum & Sinnott
 (2018) <doi: 10.1177/0962280216653427>.

Package: r-cran-kernstadapt
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-misc3d, r-cran-sparr, r-cran-spatstat.explore, r-cran-spatstat.univar, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.utils, r-cran-spatstat.linnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-kernstadapt_0.4.0-1.ca2004.1_all.deb
Size: 1573008
MD5sum: 10e1c7c28694080f12cab7a73fde182a
SHA1: a9451b9d6cf989e46565c84c8e09727ec98c9d1f
SHA256: 73781ee40371b45c9288f191911d353c84984657d6b04a4f194b2f247f8ffbc0
SHA512: 971ae354cad623a3206cb9b4aebfea6203a7c09d9c7b1e9b1b7fefebaf4135aa5562c3da312d977a5982d5041fc8cb800f2809490a1ae067ebd4035eba8b7ba0
Homepage: https://cran.r-project.org/package=kernstadapt
Description: CRAN Package 'kernstadapt' (Adaptive Kernel Estimators for Point Process Intensities onLinear Networks)
 Adaptive estimation of the first-order intensity function of a
 spatio-temporal point process using kernels and variable bandwidths. The
 methodology used for estimation is presented in González and Moraga (2022).
 <doi:10.48550/arXiv.2208.12026>.

Package: r-cran-kerntools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1764
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-kernlab, r-cran-reshape2, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kerntools_1.2.0-1.ca2004.1_all.deb
Size: 1166160
MD5sum: 1b9305039d91e576fa8124c2969860b1
SHA1: ccdcbb72228304669cac32c504ef27f2e7b00c0a
SHA256: 7f07ba77a78125dca35b9f1f38ecbf34136861e99d14104cba7083b5c7df9c56
SHA512: 51319f8772b24ec73438a453c4ca5201e09365a753519e037514ec39926fee0dbc793207ad107a8bd2371222011c074236b26549e75326262306268d6ae00241
Homepage: https://cran.r-project.org/package=kerntools
Description: CRAN Package 'kerntools' (Kernel Functions and Tools for Machine Learning Applications)
 Kernel functions for diverse types of data (including, but not restricted
 to: nonnegative and real vectors, real matrices, categorical and ordinal
 variables, sets, strings), plus other utilities like kernel similarity,
 kernel Principal Components Analysis (PCA) and features' importance for
 Support Vector Machines (SVMs), which expand other 'R' packages like
 'kernlab'.

Package: r-cran-kertests
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kertests_0.1.4-1.ca2004.1_all.deb
Size: 24524
MD5sum: e09a08c888cf77f77037181c5f7987b1
SHA1: 84b86a6ab11f369a418ef688aec806f5ff6cc3a0
SHA256: 6f5c8a6deb20a3bc450fcff583f79a8f040f2c0e9f0c592b94eacd2203b6d2d6
SHA512: b6ec3c14eb0fbf302528c108073007235174829487b0354c6ab9ce99224e13838b3d40fd7aca73dc89a0f392c0cb6089e2e43b988a11d80e582b46cf533100ea
Homepage: https://cran.r-project.org/package=kerTests
Description: CRAN Package 'kerTests' (Generalized Kernel Two-Sample Tests)
 New kernel-based test and fast tests for testing whether two samples are
 from the same distribution. They work well particularly for high-dimensional
 data.  Song, H. and Chen, H. (2023) <arXiv:2011.06127>.

Package: r-cran-kesernetwork
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shinybs, r-cran-shiny, r-cran-htmltools, r-cran-config, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-golem, r-cran-plotly, r-cran-reactable, r-cran-rintrojs, r-cran-rlang, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinyhelper, r-cran-shinywidgets, r-cran-stringr, r-cran-visnetwork, r-cran-yaml
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-shinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kesernetwork_0.1.0-1.ca2004.1_all.deb
Size: 695160
MD5sum: a183d7be8440036db04eaf6c10ee3585
SHA1: 53deab11c4e455ce54e153aed99522604e7d940b
SHA256: b126e941125d1efb9ae6a80f5a6bb221aaeb6b0bd84d1f29bb324db72d3e56da
SHA512: 048e1e729b86e5df16cc7c5611566cfd6de61de7914b8e884e04a3da3441e8061f541df21b1b57ae6e0679c26cc407f697dea52eb91c5d8d4d2b3d573a171f00
Homepage: https://cran.r-project.org/package=kesernetwork
Description: CRAN Package 'kesernetwork' (Visualization of the KESER Network)
 A shiny app to visualize the knowledge networks for the code concepts. Using
 co-occurrence matrices of EHR codes from Veterans Affairs (VA) and
 Massachusetts General Brigham (MGB), the knowledge extraction via sparse
 embedding regression (KESER) algorithm was used to construct knowledge
 networks for the code concepts. Background and details about the method can
 be found at Chuan et al. (2021) <doi:10.1038/s41746-021-00519-z>.

Package: r-cran-keyboard
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcpp, r-cran-iso, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-keyboard_0.1.3-1.ca2004.1_all.deb
Size: 266936
MD5sum: 0d0c6378551848fc249b7be14e07ba0d
SHA1: 19a8e80a1178f6ed136cf4aea01ab9c49bcaed9e
SHA256: 95f2a807bb72432814dd66affa429afa26f96f57d2b574085a508c95309acff1
SHA512: 34022a1492e7a9cc9588ea070c0c73dd3a82df7fc0e371592c197824d5cdbe5087e9305a59ce89d8d2a442140e0c06fdfa31f6f0a5a390586c3025ac0998dece
Homepage: https://cran.r-project.org/package=Keyboard
Description: CRAN Package 'Keyboard' (Bayesian Designs for Early Phase Clinical Trials)
 We developed a package 'Keyboard' for designing single-agent,
 drug-combination, or phase I/II dose-finding clinical trials. The 'Keyboard'
 designs are novel early phase trial designs that can be implemented simply
 and transparently, similar to the 3+3 design, but yield excellent
 performance, comparable to those of more-complicated, model-based designs
 (Yan F, Mandrekar SJ, Yuan Y (2017) <doi:10.1158/1078-0432.CCR-17-0220>, Li
 DH, Whitmore JB, Guo W, Ji Y. (2017) <doi:10.1158/1078-0432.CCR-16-1125>,
 Liu S, Johnson VE (2016) <doi:10.1093/biostatistics/kxv040>, Zhou Y, Lee JJ,
 Yuan Y (2019) <doi:10.1002/sim.8475>, Pan H, Lin R, Yuan Y (2020)
 <doi:10.1016/j.cct.2020.105972>). The 'Keyboard' package provides tools for
 designing, conducting, and analyzing single-agent, drug-combination, and
 phase I/II dose-finding clinical trials. For more details about how to use
 this packge, please refer to Li C, Sun H, Cheng C, Tang L, and Pan H. (2022)
 "A software tool for both the maximum tolerated dose and the optimal
 biological dose finding trials in early phase designs". Manuscript submitted
 for publication.

Package: r-cran-keyholder
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-keyholder_0.1.7-1.ca2004.1_all.deb
Size: 88884
MD5sum: 14109c55cd68e8cf5231ef0b183b70c5
SHA1: 901b68eb372b38ab6aecad197faf0a564cb3b450
SHA256: 1224f8d0ce58b65eccf72b91ed78f0ed1fb5e6706da4ddfbcb43baf1b9c8dd64
SHA512: 16b1ed786eaaeec9acdd93f089407de4c3757fce0593e1e0e0b6e88dbc8f1c8b0e725bd76cbb9e1a3e18b68270a97087fc3614a2bb8b4b20b50cffa03812eeda
Homepage: https://cran.r-project.org/package=keyholder
Description: CRAN Package 'keyholder' (Store Data About Rows)
 Tools for keeping track of information, named "keys", about rows of data
 frame like objects. This is done by creating special attribute "keys" which
 is updated after every change in rows (subsetting, ordering, etc.).  This
 package is designed to work tightly with 'dplyr' package.

Package: r-cran-keyplayer
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-sna, r-cran-matpow
Filename: pool/dists/focal/main/r-cran-keyplayer_1.0.4-1.ca2004.1_all.deb
Size: 106364
MD5sum: 4e5cc066fdfb84398f4c709d181dbac5
SHA1: fd94ab3f41f26ba790de91909365efad2eda9c29
SHA256: 75c8919eb6aa8bf987e3c637fd3cbdc17045e5451ff6f0d7a76e873f30ada749
SHA512: 064bc378a91ba173213821b7bb06507c59eec903d31a96367630b38fb771123922ed4516e506b86438cfac9077db50ad7bf8642762daad3e2871ad0c3f8b9059
Homepage: https://cran.r-project.org/package=keyplayer
Description: CRAN Package 'keyplayer' (Locating Key Players in Social Networks)
 Computes group centrality scores and identifies the most central group of
 players in a network.

Package: r-cran-keyringr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-keyringr_0.4.0-1.ca2004.1_all.deb
Size: 63444
MD5sum: a1c9593a6e6d85762ecc730f9e8b4cdf
SHA1: f898ebbaa93696d8c56722d2b038411cc8c25f07
SHA256: 80ee966a4620f5946a1e716d17ce695defdf2712db2c2ab97c292d5b57b6a816
SHA512: 17d8c0b1d854512afc5feb7d477b1ade5c240cb963d4bc698fb335aee20c8744537c13d9f696b6b4935d3f948ef7c06ac0bb6bfa791e5799b007eb909fc3cb9c
Homepage: https://cran.r-project.org/package=keyringr
Description: CRAN Package 'keyringr' (Decrypt Passwords from Gnome Keyring, Windows Data ProtectionAPI and macOS Keychain)
 Decrypts passwords stored in the Gnome Keyring, macOS Keychain and strings
 encrypted with the Windows Data Protection API.

Package: r-cran-keys
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-keys_0.1.1-1.ca2004.1_all.deb
Size: 130980
MD5sum: 6e478886a1b2b1ea746b0b42fd5b0849
SHA1: 40a4e22d66cb42f0e40b34bb96f7ad34e1d5a4e6
SHA256: 4ad4079dc226ce76a1deaf0f21dd429d25a30d64afa6f894cfe9c557ceef7055
SHA512: 6c3413cf74af4dfecb9366c321b8a13ac3de2f4ef5f8e8aaed88c77eb7e26884d4912f81fac56d159f1c3de3d36760f1a9a5bef2f728b594bd1af283080b6fa1
Homepage: https://cran.r-project.org/package=keys
Description: CRAN Package 'keys' (Keyboard Shortcuts for 'shiny')
 Assign and listen to keyboard shortcuts in 'shiny' using the 'Mousetrap'
 Javascript library.

Package: r-cran-keytoenglish
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openssl, r-cran-stringr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-keytoenglish_0.2.1-1.ca2004.1_all.deb
Size: 231120
MD5sum: 69c0f58732f152c917d7158260474b93
SHA1: 580b8193f28037f81035e55b2c188a20c5164d56
SHA256: da38fc0b4501dc85e59cb3058d9d983cda117e76c3a56cc8ff9d0ebb0f044c52
SHA512: fb4da43c45f23ae08ee751188deac4391d9dc5d29d8f29d32771a56d65f4710dbb8d783e0212d4f7bb32c4ab60ce49a2d912d3258613889d8f45de9811d8cc2c
Homepage: https://cran.r-project.org/package=keyToEnglish
Description: CRAN Package 'keyToEnglish' (Convert Data to Memorable Phrases)
 Convert keys and other values to memorable phrases.  Includes some methods
 to build lists of words.

Package: r-cran-kfa
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3521
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-doparallel, r-cran-flextable, r-cran-foreach, r-cran-gparotation, r-cran-knitr, r-cran-lavaan, r-cran-officer, r-cran-rmarkdown, r-cran-semtools, r-cran-simstandard
Suggests: r-cran-semplot
Filename: pool/dists/focal/main/r-cran-kfa_0.2.2-1.ca2004.1_all.deb
Size: 3523796
MD5sum: 5f6526d3f4aceff1b4960fe7cda7b95b
SHA1: 558cd7ed2ee2d7cbc8bd184a296862f5337a3b2d
SHA256: c2b5bb3d2da9aaad52084af340bc7f3d894ee9a9c763e0d2cd8724d7b7da9682
SHA512: 13708e57143641882dc93c3f2a327b98dbc14d2a056494b470c05e0c2e0d5ed7dace11ba02ccab4d637073a15f44fae28d7b10787b35d4c0773d8e7484406584
Homepage: https://cran.r-project.org/package=kfa
Description: CRAN Package 'kfa' (K-Fold Cross Validation for Factor Analysis)
 Provides functions to identify plausible and replicable factor structures
 for a set of variables via k-fold cross validation. The process combines the
 exploratory and confirmatory factor analytic approach to scale development
 (Flora & Flake, 2017) <doi:10.1037/cbs0000069> with a cross validation
 technique that maximizes the available data (Hastie, Tibshirani, & Friedman,
 2009) <isbn:978-0-387-21606-5>. Also available are functions to determine k
 by drawing on power analytic techniques for covariance structures
 (MacCallum, Browne, & Sugawara, 1996) <doi:10.1037/1082-989X.1.2.130>,
 generate model syntax, and summarize results in a report.

Package: r-cran-kfda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab, r-cran-mass
Filename: pool/dists/focal/main/r-cran-kfda_1.0.0-1.ca2004.1_all.deb
Size: 19388
MD5sum: ec568299c38238f8d3e7f266b8aee0bd
SHA1: 3860d5cefe6a0582ad6ba71807a35a216d8086a0
SHA256: b23517732e713c4ce1bbb02079af3a5cafe69b3a61768f2e91dda295c3173454
SHA512: d2b6beee9433442dc4bf114895be8bf8e5f3f4d5fe11529594d9556fd378f7d828fa6d1bb7a6ae087b9307174c5b3cc736cbad63cdaabc5d061d8e30a3ee0847
Homepage: https://cran.r-project.org/package=kfda
Description: CRAN Package 'kfda' (Kernel Fisher Discriminant Analysis)
 Kernel Fisher Discriminant Analysis (KFDA) is performed using Kernel
 Principal Component Analysis (KPCA) and Fisher Discriminant Analysis (FDA).
 There are some similar packages. First, 'lfda' is a package that performs
 Local Fisher Discriminant Analysis (LFDA) and performs other functions.  In
 particular, 'lfda' seems to be impossible to test because it needs the label
 information of the data in the function argument. Also, the 'ks' package has
 a limited dimension, which makes it difficult to analyze properly.  This
 package is a simple and practical package for KFDA based on the paper of
 Yang, J., Jin, Z., Yang, J. Y., Zhang, D., and Frangi, A. F. (2004)
 <DOI:10.1016/j.patcog.2003.10.015>.

Package: r-cran-kfigr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Suggests: r-cran-ggplot2, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-kfigr_1.2.1-1.ca2004.1_all.deb
Size: 43432
MD5sum: 1814c9ae68097ff825cd92b4b3b0b89e
SHA1: 41f46d1df6585e8857d70f11cbfb639a67b1bba0
SHA256: 3bfdc2b5fe32092be52b11e7af5f18b9c1dc825a54959665a09ecf09dcb6d31e
SHA512: ed0df0880eb61cce51aba25b6ff8a131af4b9b3ed0b95ad9c8356b8411044608e2235226bd90429e3c6eadf248bfb00254d127885e773c5d546fc2493b627d20
Homepage: https://cran.r-project.org/package=kfigr
Description: CRAN Package 'kfigr' (Integrated Code Chunk Anchoring and Referencing for R MarkdownDocuments)
 A streamlined cross-referencing system for R Markdown documents generated
 with 'knitr'. R Markdown is an authoring format for generating dynamic
 content from R. 'kfigr' provides a hook for anchoring code chunks and a
 function to cross-reference document elements generated from said chunks,
 e.g. figures and tables.

Package: r-cran-kfino
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2573
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-kfino_1.0.0-1.ca2004.1_all.deb
Size: 858528
MD5sum: 7525b3d74d9c2aa8952b9310e641658b
SHA1: c58c04b960c553159440e827df27757300de87f6
SHA256: becaf9d2c6d2a4e7981aaaee6423d12505fcb179c1d4fc8a6d55ff27e309f5dc
SHA512: d082e38d8df019a394b550a8245b8349e08ab1e49e8fc336255bb5cfbe686c1adf905a362cec6edaa94e06446fd6891da3975f52b85a22786340c83a0ad0d3ab
Homepage: https://cran.r-project.org/package=kfino
Description: CRAN Package 'kfino' (Kalman Filter for Impulse Noised Outliers)
 A method for detecting outliers with a Kalman filter on impulsed noised
 outliers and prediction on cleaned data. 'kfino' is a robust sequential
 algorithm allowing to filter data with a large number of outliers.  This
 algorithm is based on simple latent linear Gaussian processes as in the
 Kalman Filter method and is devoted to detect impulse-noised outliers. These
 are data points that differ significantly from other observations. 'ML'
 (Maximization Likelihood) and 'EM' (Expectation-Maximization algorithm)
 algorithms were implemented in 'kfino'. The method is described in full
 details in the following arXiv e-Print: <arXiv:2208.00961>.

Package: r-cran-kfpca
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kader, r-cran-pracma, r-cran-fdapace, r-cran-fda
Filename: pool/dists/focal/main/r-cran-kfpca_2.0-1.ca2004.1_all.deb
Size: 85504
MD5sum: de24ca875251ccd7f431873be0c678f2
SHA1: 47982e2f83823a310e338bfaf0756416db4ab791
SHA256: dea52e4f39e96a2e0fc9a3afebbf29e783d715dcddd2e4e28084326aec3676ee
SHA512: 36e9bff6f4e5afd4225772fc671019583edfba891fd322d36c430521716641ed820beb08932ff35948f3b1b267f3064bf29f40f4489966cc4116294dd0d9c56b
Homepage: https://cran.r-project.org/package=KFPCA
Description: CRAN Package 'KFPCA' (Kendall Functional Principal Component Analysis)
 Implementation for Kendall functional principal component analysis. Kendall
 functional principal component analysis is a robust functional principal
 component analysis technique for non-Gaussian functional/longitudinal data.
 The crucial function of this package is KFPCA() and KFPCA_reg(). Moreover,
 least square estimates of functional principal component scores are also
 provided. Refer to Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang.
 (2021) <arXiv:2102.01286>. Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao
 Zhang. (2021) <doi:10.1016/j.jmva.2021.104864>.

Package: r-cran-kfpls
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fda
Filename: pool/dists/focal/main/r-cran-kfpls_1.0-1.ca2004.1_all.deb
Size: 26396
MD5sum: 1d66e6c9e62391e40d02b1896934c096
SHA1: 1db3f6bee1d2fdb80dd749647f7a7125dd86230d
SHA256: bd68a8b6f2ed9e346932b3f5d6bd8b9c4ebb07e3b72833718627593ab3f759e5
SHA512: 559b8b731af701a2f9b519306faba730c0e147b1f629dfd2b267e2d470399dc317ed15a5a4b4e7feeb5e75b656fe20f9d4c08f8610af4f8257d0b7d074507148
Homepage: https://cran.r-project.org/package=KFPLS
Description: CRAN Package 'KFPLS' (Kernel Functional Partial Least Squares)
 Implementation for kernel functional partial least squares (KFPLS) method.
 KFPLS method is developed for functional nonlinear models, and the method
 does not require strict constraints for the nonlinear structures. The
 crucial function of this package is KFPLS().

Package: r-cran-kgc
Architecture: all
Version: 1.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3478
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kgc_1.0.0.2-1.ca2004.1_all.deb
Size: 2467252
MD5sum: 68ada4e7ba363408152613e26e87d6f2
SHA1: 423fe510798f03ef03943b4e46324bcff149205a
SHA256: 1b670e73746a93f0ae2216e85b4a81a2e0b0554c6af3a4edf90b295db99fe1ae
SHA512: 131236c791ef706f79988ade064081fd222b76d53a6a7460857271d4962a0d97f60f138eb5bf6fa2c0f8ee47c84ef92af3a971620c711a0e69b4d154e3b88ac8
Homepage: https://cran.r-project.org/package=kgc
Description: CRAN Package 'kgc' (Koeppen-Geiger Climatic Zones)
 Aids in identifying the Koeppen-Geiger (KG) climatic zone for a given
 location. The Koeppen-Geiger climate zones were first published in 1884, as
 a system to classify regions of the earth by their relative heat and
 humidity through the year, for the benefit of human health, plant and
 agriculture and other human activity [1]. This climate zone classification
 system, applicable to all of the earths surface, has continued to be
 developed by scientists up to the present day.  Recently one of use (FZ) has
 published updated, higher accuracy KG climate zone definitions [2]. In this
 package we use these updated high-resolution maps as the data source [3]. We
 provide functions that return the KG climate zone for a given longitude and
 lattitude, or for a given United States zip code. In addition the
 CZUncertainty() function will check climate zones nearby to check if the
 given location is near a climate zone boundary. In addition an interactive
 shiny app is provided to define the KG climate zone for a given longitude
 and lattitude, or United States zip code.  Digital data, as well as animated
 maps, showing the shift of the climate zones are provided on the following
 website <http://koeppen-geiger.vu-wien.ac.at>.  This work was supported by
 the DOE-EERE SunShot award DE-EE-0007140.  [1] W. Koeppen, (2011)
 <doi:10.1127/0941-2948/2011/105>.  [2] F. Rubel and M. Kottek, (2010)
 <doi:10.1127/0941-2948/2010/0430>.  [3] F. Rubel, K. Brugger, K. Haslinger,
 and I. Auer, (2016) <doi:10.1127/metz/2016/0816>.

Package: r-cran-kgen
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjson, r-cran-reticulate, r-cran-rappdirs, r-cran-checkmate, r-cran-pbapply, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kgen_0.3.1-1.ca2004.1_all.deb
Size: 79432
MD5sum: 781bdd8559cfb548b2b015740590badd
SHA1: 57598cb20f8fb832dbbb37ba9ba9b0b260d3f9e9
SHA256: 8fd927f0b71e3eb89fb1eda3b2b3bb47f19a28878d30aeb4a56a91e64720cde9
SHA512: 1f705bf4fd3fcc51324f1263b94c6e7e6d8a49ead5c1955c7204d331ce99ec1b8502702b8468b6e281e2ac143e7bb61782b244324e8ea05308e85f820d6d69d7
Homepage: https://cran.r-project.org/package=kgen
Description: CRAN Package 'kgen' (A Tool for Calculating Stoichiometric Equilibrium Constants (Ks)for Seawater)
 A unified software package simultaneously implemented in 'Python', 'R', and
 'Matlab' providing a uniform and internally-consistent way of calculating
 stoichiometric equilibrium constants in modern and palaeo seawater as a
 function of temperature, salinity, pressure and the concentration of
 magnesium, calcium, sulphate, and fluorine.

Package: r-cran-kgode
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-pracma, r-cran-pspline, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-kgode_1.0.4-1.ca2004.1_all.deb
Size: 374200
MD5sum: 9c7ec1071bc39015d3861fc0fa8ab6a3
SHA1: 8984e18ea5adbab958f8362c6d65e132ed47776e
SHA256: d99f2cde07dd033c971bb5b5aa82c6d7e40eaff2618f74b5327e47381bd9ac5a
SHA512: 3b158cdda3eaffb5a4587faf52928a6137f014f27260a43cabf8abe3a68176a684bb26066fb9e09f1fc66deda7e2bdfd7c94a1dcc3e9c143f0110c6d99efa51d
Homepage: https://cran.r-project.org/package=KGode
Description: CRAN Package 'KGode' (Kernel Based Gradient Matching for Parameter Inference inOrdinary Differential Equations)
 The kernel ridge regression and the gradient matching algorithm proposed in
 Niu et al. (2016) <https://proceedings.mlr.press/v48/niu16.html> and the
 warping algorithm proposed in Niu et al. (2017)
 <DOI:10.1007/s00180-017-0753-z> are implemented for parameter inference in
 differential equations. Four schemes are provided for improving parameter
 estimation in odes by using the odes regularisation and warping.

Package: r-cran-kgp
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 726
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tibble
Filename: pool/dists/focal/main/r-cran-kgp_1.1.1-1.ca2004.1_all.deb
Size: 304160
MD5sum: 70434f297fc2702425678702713652b7
SHA1: 19719a6b0374f5dcf0999a59d5d6517d5d79a353
SHA256: 12d68bb7b293d65dac7151a3908da6ebf79ef1bf6eb5f668c1201226191b503f
SHA512: 0b1df132b6d64f5f27aed3b72574e83e128124ddb80cb586881b153887371028ad2f0d75b71b64843b33bc3713124644d9482aa66cd6caa08727bc231d20f82f
Homepage: https://cran.r-project.org/package=kgp
Description: CRAN Package 'kgp' (1000 Genomes Project Metadata)
 Metadata about populations and data about samples from the 1000 Genomes
 Project, including the 2,504 samples sequenced for the Phase 3 release and
 the expanded collection of 3,202 samples with 602 additional trios. The data
 is described in Auton et al. (2015) <doi:10.1038/nature15393> and
 Byrska-Bishop et al. (2022) <doi:10.1016/j.cell.2022.08.004>, and raw data
 is available at <http://ftp.1000genomes.ebi.ac.uk/vol1/ftp/>. See Turner
 (2022) <doi:10.48550/arXiv.2210.00539> for more details.

Package: r-cran-kgraph
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1669
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-htmltools, r-cran-igraph, r-cran-magrittr, r-cran-opticskxi, r-cran-plyr, r-cran-proc, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-sgraph, r-cran-shiny
Suggests: r-cran-bslib, r-cran-data.table, r-cran-dt, r-cran-knitr, r-cran-nlpembeds, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kgraph_1.2.0-1.ca2004.1_all.deb
Size: 1176900
MD5sum: 88f55d631cccd8563a5ff6760b4a59c5
SHA1: 40c41f0e6837abec6f44af5310d459343b16e398
SHA256: 5d1dc6f4a2c07821e077c32b5c5ba8b02bcb1d8f4d39464568a7d60a40477812
SHA512: d7e822bee89241c266eeb0cc8702fbe9402e678e190ab3302cf7a6630e2829917fda682f695c4a3e08a8d0e905af83b16e09b215f331b4c900848ccaf16e6367
Homepage: https://cran.r-project.org/package=kgraph
Description: CRAN Package 'kgraph' (Knowledge Graphs Constructions and Visualizations)
 Knowledge graphs enable to efficiently visualize and gain insights into
 large-scale data analysis results, as p-values from multiple studies or
 embedding data matrices. The usual workflow is a user providing a data frame
 of association studies results and specifying target nodes, e.g. phenotypes,
 to visualize. The knowledge graph then shows all the features which are
 significantly associated with the phenotype, with the edges being
 proportional to the association scores. As the user adds several target
 nodes and grouping information about the nodes such as biological pathways,
 the construction of such graphs soon becomes complex. The 'kgraph' package
 aims to enable users to easily build such knowledge graphs, and provides two
 main features: first, to enable building a knowledge graph based on a data
 frame of concepts relationships, be it p-values or cosine similarities;
 second, to enable determining an appropriate cut-off on cosine similarities
 from a complete embedding matrix, to enable the building of a knowledge
 graph directly from an embedding matrix. The 'kgraph' package provides
 several display, layout and cut-off options, and has already proven useful
 to researchers to enable them to visualize large sets of p-value
 associations with various phenotypes, and to quickly be able to visualize
 embedding results. Two example datasets are provided to demonstrate these
 behaviors, and several live 'shiny' applications are hosted by the CELEHS
 laboratory and Parse Health, as the KESER Mental Health application
 <https://keser-mental-health.parse-health.org/> based on Hong C. (2021)
 <doi:10.1038/s41746-021-00519-z>.

Package: r-cran-kgschart
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-deepnet, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-matrixstats, r-cran-nnet, r-cran-png, r-cran-shiny, r-cran-stringr
Suggests: r-cran-jsonlite, r-cran-shinyjs, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kgschart_1.3.5-1.ca2004.1_all.deb
Size: 390220
MD5sum: 4682cfae3b986e4d654fa39c5ca24284
SHA1: 78c725e528f8af648d92c28e7890045930905b3e
SHA256: 55a52d6735a743cf4a03538115dd5b1fbe962fda321616434602262f65f05037
SHA512: 444296e2950ed8206350880e89cf48c72f39636db76869efaaf13f5fa07c436b3a6f55d0b9530add59d625122097f12c6f709e4ec4213b3dcf406a52d6a5e096
Homepage: https://cran.r-project.org/package=kgschart
Description: CRAN Package 'kgschart' (KGS Rank Graph Parser)
 Restore underlining numeric data from rating history graph of KGS (an online
 platform of the game of go, <http://www.gokgs.com/>).  A shiny application
 is also provided.

Package: r-cran-khisr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-janitor, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-khisr_1.0.6-1.ca2004.1_all.deb
Size: 203008
MD5sum: 6111e748ea390cdef5adab912a30636e
SHA1: 19f6d4e80b8ee464b04120a1c3745c9e47e0fc67
SHA256: a8c52d10da06aac075aaf9d20ca538f5f9ecf3f6c7e8c3e27566e9a2e6c58bde
SHA512: eef20a828961f1e98480c5163985ff98902d4ee9706f9fddd4fa399b04387c9f6d379ca777983d14796ef3b795ba38e3e886fb38a5a7015f358edf636d96e44a
Homepage: https://cran.r-project.org/package=khisr
Description: CRAN Package 'khisr' (An R Client to Retrieve Data from DHIS2)
 Provides a user-friendly interface for interacting with the District Health
 Information Software 2 (DHIS2) instance. It streamlines data retrieval,
 empowering researchers, analysts, and healthcare professionals to obtain and
 utilize data efficiently.

Package: r-cran-khq
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-khq_0.2.0-1.ca2004.1_all.deb
Size: 94220
MD5sum: 0390dc96f31c78377d405df870944815
SHA1: 93855677a1b1821ecc1943a3ab2ecd81506c55e1
SHA256: adba6b8ae020d4111785093c4c244a4d2cf083bc8a60673000ce7e68e3a094e7
SHA512: b23fb942a13960b02ff35b8888a7b7c2bd53e9d4794a82c49a75b162a41ef34e0be154f6e251c3e4c3c1774bd3301a332bc5f33af741e8db782b4bdb5bafb161
Homepage: https://cran.r-project.org/package=KHQ
Description: CRAN Package 'KHQ' (Methods for Calculating 'KHQ' Scores and 'KHQ5D' Utility IndexScores)
 The King's Health Questionnaire (KHQ) is a disease-specific,
 self-administered questionnaire designed specific to assess the impact of
 Urinary Incontinence (UI) on Quality of Life. The questionnaire was
 developed by Kelleher and collaborators (1997)
 <doi:10.1111/j.1471-0528.1997.tb11006.x>.  It is a simple, acceptable and
 reliable measure to use in the clinical setting and a research tool that is
 useful in evaluating UI treatment outcomes.  The KHQ five dimensions (KHQ5D)
 is a condition-specific preference-based measure developed by Brazier and
 collaborators (2008) <doi:10.1177/0272989X07301820>.  Although not as
 popular as the SF6D <doi:10.1016/S0895-4356(98)00103-6> and EQ-5D
 <https://euroqol.org/>, the KHQ5D measures health-related quality of life
 (HRQoL) specifically for UI, not general conditions like the others two
 instruments mentioned. The KHQ5D ca be used in the clinical and economic
 evaluation of health care. The subject self-rates their health in terms of
 five dimensions: Role Limitation (RL), Physical Limitations (PL), Social
 Limitations (SL), Emotions (E), and Sleep (S). Frequently the states on
 these five dimensions are converted to a single utility index using country
 specific value sets, which can be used in the clinical and economic
 evaluation of health care as well as in population health surveys. This
 package provides methods to calculate scores for each dimension of the KHQ;
 converts KHQ item scores to KHQ5D scores; and also calculates the utility
 index of the KHQ5D.

Package: r-cran-khroma
Architecture: all
Version: 1.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2878
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-ggraph, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-scales, r-cran-spacesxyz, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-khroma_1.16.0-1.ca2004.1_all.deb
Size: 1762332
MD5sum: 420c277728b0df597dc5557c187ed641
SHA1: d5ff8a66b79b6295cd0e64172d81b4420a2ce9e3
SHA256: 4f7a85d771f164f908bbeb6d7bb8ac103a6c843f792714bf8c644b8866743789
SHA512: 652758155f3f028b1d43813a6ec4380a2aa028074563cdcb146363d141c049601804822857dd8e1ae8b28610d630873b294a527ceeb0221038ed5d03e5cca526
Homepage: https://cran.r-project.org/package=khroma
Description: CRAN Package 'khroma' (Colour Schemes for Scientific Data Visualization)
 Color schemes ready for each type of data (qualitative, diverging or
 sequential), with colors that are distinct for all people, including
 color-blind readers. This package provides an implementation of Paul Tol
 (2018) and Fabio Crameri (2018) <doi:10.5194/gmd-11-2541-2018> color schemes
 for use with 'graphics' or 'ggplot2'. It provides tools to simulate
 color-blindness and to test how well the colors of any palette are
 identifiable. Several scientific thematic schemes (geologic timescale, land
 cover, FAO soils, etc.) are also implemented.

Package: r-cran-kibior
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4974
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-data.table, r-cran-stringr, r-cran-purrr, r-cran-jsonlite, r-cran-rio, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-elastic, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-rtracklayer
Suggests: r-cran-ggplot2, r-cran-readr, r-cran-xml2, r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-kibior_0.1.1-1.ca2004.1_all.deb
Size: 1598680
MD5sum: ed1afa669985d053f48b6904afa63ea0
SHA1: d9c9a85a253df0fedd15eefb11112f214891b690
SHA256: 66da9bb48c0fcf1d16a796164eccab2a449e5125e19013a52e0e90f2f305f398
SHA512: 21546bcf2d41d7f70f17f6a7908a4e79b75972ff6a05e320a78c08feb97c85083c2d52fb5d4758876a7ba0e6cb2d5fea3af64ef4e875be0dd3001c1522822ea2
Homepage: https://cran.r-project.org/package=kibior
Description: CRAN Package 'kibior' (A Simple Data Management and Sharing Tool)
 An interface to store, retrieve, search, join and share datasets, based on
 Elasticsearch (ES) API. As a decentralized, FAIR and collaborative search
 engine and database effort, it proposes a simple push/pull/search mechanism
 only based on ES, a tool which can be deployed on nearly any hardware. It is
 a high-level R-ES binding to ease data usage using 'elastic' package (S.
 Chamberlain (2020)) <https://docs.ropensci.org/elastic/>, extends joins from
 'dplyr' package (H. Wickham et al. (2020)) <https://dplyr.tidyverse.org/>
 and integrates specific biological format importation with Bioconductor
 packages such as 'rtracklayer' (M. Lawrence and al. (2009)
 <doi:10.1093/bioinformatics/btp328>)
 <http://bioconductor.org/packages/rtracklayer>, 'Biostrings' (H. Pagès and
 al. (2020) <doi:10.18129/B9.bioc.Biostrings>)
 <http://bioconductor.org/packages/Biostrings>, and 'Rsamtools' (M. Morgan
 and al. (2020) <doi:10.18129/B9.bioc.Rsamtools>)
 <http://bioconductor.org/packages/Rsamtools>, but also a long list of more
 common ones with 'rio' (C-h. Chan and al. (2018))
 <https://cran.r-project.org/package=rio>.

Package: r-cran-kidney.epi
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1077
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-readxl, r-cran-openxlsx, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kidney.epi_1.4.0-1.ca2004.1_all.deb
Size: 526956
MD5sum: 4bce97dfc8ffb459036841f33c021b8a
SHA1: 93e7d5b8e38ac0489bebd79cbd87a18cdb977b5e
SHA256: 23d7c23264cad39cb8894ffbd69701b6a6f4569fc07f14f3415038a839a177dd
SHA512: b065cc2133f3e2300910ee9cdee1e7e3ef486463965bdfa14566fd6455a3b2361bd4cb0b30543862dd613d2631fdb628e54c500db0631a6af98c39f932cad89b
Homepage: https://cran.r-project.org/package=kidney.epi
Description: CRAN Package 'kidney.epi' (Kidney-Related Functions for Clinical and EpidemiologicalResearch)
 Contains kidney care oriented functions.  Current version contains functions
 for calculation of: - Estimated glomerular filtration rate by CKD-EPI (2021
 and 2009), MDRD, CKiD, FAS, EKFC, etc.  - Kidney Donor Risk Index and Kidney
 Donor Profile Index for kidney transplant donors.  - Citation: Bikbov B.
 kidney.epi: Kidney-Related Functions for Clinical and Epidemiological
 Research. Scientific-Tools.Org, <https://Scientific-Tools.Org>.
 <doi:10.32614/CRAN.package.kidney.epi>.

Package: r-cran-kidsides
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-r.utils
Suggests: r-cran-ggplot2, r-cran-dbplyr, r-cran-tidyr, r-cran-stringr, r-cran-ggthemes, r-cran-rlang, r-cran-ggrepel, r-cran-scales, r-cran-pacman, r-cran-dplyr, r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-dt, r-cran-gt, r-cran-lobstr, r-cran-prettyunits, r-cran-purrr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-kidsides_0.5.0-1.ca2004.1_all.deb
Size: 24116
MD5sum: afa2d6c14439c410a7ce235ec6be9a68
SHA1: 0c99d184755d37b2e156f2ea0bfcc42ef3028ae3
SHA256: b9cbcd360bc8f8b7c137e80a5c2f8fb3b0bc2ee07c071b262ee919bed16b8cf4
SHA512: fdd415162ab8866229660227bda9946556cd326f06b7f0e074b5ba2bcc34dc3c137d82e8e036949971dc1d50a32132ed602c87f8665a98ba34bb4c8b16387ab3
Homepage: https://cran.r-project.org/package=kidsides
Description: CRAN Package 'kidsides' (Download, Cache, and Connect to KidSIDES)
 Caches and then connects to a 'sqlite' database containing half a million
 pediatric drug safety signals.  The database is part of a family of
 resources catalogued at <https://nsides.io>. The database contains 17 tables
 where the description table provides a map between the fields the field's
 details.  The database was created by Nicholas Giangreco during his PhD
 thesis which you can read in Giangreco (2022) <doi:10.7916/d8-5d9b-6738>.
 The observations are from the Food and Drug Administration's Adverse Event
 Reporting System. Generalized additive models estimated drug effects across
 child development stages for the occurrence of an adverse event when exposed
 to a drug compared to other drugs.  Read more at the methods detailed in
 Giangreco (2022) <doi:10.1016/j.medj.2022.06.001>.

Package: r-cran-kifidi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kifidi_0.1.0-1.ca2004.1_all.deb
Size: 21228
MD5sum: dc3f1b9124f175c6cd0ea132bb74a588
SHA1: a588bb749c7deff8751067efa059879975dd5ea9
SHA256: 3f99f37c5c25d49eeea4f22eb01b4b4d0aaca82d82bcd65a626c29a823e071bd
SHA512: 878f9be5a291c9d79895bad9714dc8ac436104f9cdd74a1848a37befca7aa7ce27b0b2bad20d663df7101d1572f6fbffc241f38e1379fea54dfe0c3ee911ba6b
Homepage: https://cran.r-project.org/package=Kifidi
Description: CRAN Package 'Kifidi' (Summary Table and Means Plots)
 Optimized for handling complex datasets in environmental and ecological
 research, this package offers functionality that is not fully met by
 general-purpose packages. It provides two key functions, 'summarize_data()',
 which summarizes datasets, and 'plot_means()', which creates plots with
 error bars. The 'plot_means()' function incorporates error bars by default,
 allowing quick visualization of uncertainties, crucial in ecological
 studies. It also streamlines workflows for grouped datasets (e.g., by
 species or treatment), making it particularly user-friendly and reducing the
 complexity and time required for data summarization and visualization.

Package: r-cran-kim
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1015
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-remotes
Suggests: r-cran-boot, r-cran-ggplot2, r-cran-moments, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kim_0.6.1-1.ca2004.1_all.deb
Size: 939896
MD5sum: ec374c7ea93dccca1e4bbfd146f54162
SHA1: 913a3d87a62aee3b422a7056a89f329bf5a37f1c
SHA256: c6867d330365c031d074b717f9f238b7daae21bbeaf29068c9fefd7ee97e8629
SHA512: ffa5364d229d37ea6ec4cbf8400c31bd89c47f2aaee325f8392d7b340a927c7e6d2e90b10fd5f321c00184537898f9b5c2d7f9942408b892f9e1ae84e1cade43
Homepage: https://cran.r-project.org/package=kim
Description: CRAN Package 'kim' (A Toolkit for Behavioral Scientists)
 A collection of functions for analyzing data typically collected or used by
 behavioral scientists. Examples of the functions include a function that
 compares groups in a factorial experimental design, a function that conducts
 two-way analysis of variance (ANOVA), and a function that cleans a data set
 generated by Qualtrics surveys.  Some of the functions will require
 installing additional package(s).  Such packages and other references are
 cited within the section describing the relevant functions. Many functions
 in this package rely heavily on these two popular R packages: Dowle et al.
 (2021) <https://CRAN.R-project.org/package=data.table>.  Wickham et al.
 (2021) <https://CRAN.R-project.org/package=ggplot2>.

Package: r-cran-kimisc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-memoise, r-cran-plyr, r-cran-pryr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kimisc_1.0.0-1.ca2004.1_all.deb
Size: 121308
MD5sum: ead8b430bd40e1086154b00f5a51ccdb
SHA1: 5a59f150baed947f9e438ab6b702c8a6281689f5
SHA256: eee0c8fad032f6963faed0d402e777c5e7c1d0aebd3718423d1fa7a03d73190a
SHA512: c3e9244479672ce84fd877fa93d6030ea36e4e02a55c0fdb7ed00b5044b0a5e1569f571fe237b769bf8eec68d1536fca4ad2c3cd06df4e0764596cceb41e058c
Homepage: https://cran.r-project.org/package=kimisc
Description: CRAN Package 'kimisc' (Kirill's Miscellaneous Functions)
 A collection of useful functions not found anywhere else, mainly for
 programming: Pretty intervals, generalized lagged differences, checking
 containment in an interval, and an alternative interface to assign().

Package: r-cran-kin.cohort
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-kin.cohort_0.7-1.ca2004.1_all.deb
Size: 157832
MD5sum: a866516ba46a6fdb0aab4fede10c6ef0
SHA1: 5488024053e8f15cb8c47290ef01e75c4c8187d8
SHA256: 95f09f5f51a9da99bdd54e72f10ddd61a42f9c5d75ff86ab85ce4f1cfb0cbfe6
SHA512: 3ec8f348f8100a3afa54a6b6dbf6dfc946e990d808631b1aa3ff6e28760f7d858ec15483c321d01ff4ded9692e6d09b47118128653a6253dc8ae84a51ca4954e
Homepage: https://cran.r-project.org/package=kin.cohort
Description: CRAN Package 'kin.cohort' (Analysis of Kin-Cohort Studies)
 Analysis of kin-cohort studies. kin.cohort provides estimates of
 age-specific cumulative risk of a disease for carriers and noncarriers of a
 mutation. The cohorts are retrospectively built from relatives of probands
 for whom the genotype is known. Currently the method of moments and marginal
 maximum likelihood are implemented. Confidence intervals are calculated from
 bootstrap samples.  Most of the code is a translation from previous 'MATLAB'
 code by N. Chatterjee.

Package: r-cran-kindisperse
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1097
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-readr, r-cran-shiny, r-cran-shinythemes, r-cran-ggrepel, r-cran-fitdistrplus, r-cran-laplacesdemon, r-cran-here, r-cran-tibble, r-cran-magrittr, r-cran-plotly, r-cran-dplyr, r-cran-rlang, r-cran-tidyselect, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kindisperse_0.10.2-1.ca2004.1_all.deb
Size: 735692
MD5sum: b6d202e84a7763e534966afcc7c1a88e
SHA1: 930ca79a5af0ee46617c510d162f97a981c4f2e7
SHA256: d98da07ff9bd46f2a6d5b3d207ef3ae02f19ca56e0e2d2a44da11826ce2be91f
SHA512: b4ad4f61831c332416811dfe06bdd642d8cd4c2b158ef3284b6e323018f1ed9cec1067af3d19548ff2aaad46de5f28e907df5cdc18aca2955465d3157ddd95a0
Homepage: https://cran.r-project.org/package=kindisperse
Description: CRAN Package 'kindisperse' (Simulate and Estimate Close-Kin Dispersal Kernels)
 Functions for simulating and estimating kinship-related dispersal. Based on
 the methods described in M. Jasper, T.L. Schmidt., N.W. Ahmad, S.P. Sinkins
 & A.A.  Hoffmann (2019) <doi:10.1111/1755-0998.13043> "A genomic approach to
 inferring kinship reveals limited intergenerational dispersal in the yellow
 fever mosquito".  Assumes an additive variance model of dispersal in two
 dimensions, compatible with Wright's neighbourhood area. Simple and
 composite dispersal simulations are supplied, as well as the functions
 needed to estimate parent-offspring dispersal for simulated or empirical
 data, and to undertake sampling design for future field studies of
 dispersal.  For ease of use an integrated Shiny app is also included.

Package: r-cran-kinematics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-kinematics_1.0.0-1.ca2004.1_all.deb
Size: 671952
MD5sum: 3d816f5471994da80444322abbd836e1
SHA1: 2e96d50685cff914c3ffc8799c6a601307346075
SHA256: a1156882a74f141a8bc25050d2814fbfc3fecb63176e96f7f89b4f1f4399235b
SHA512: eb6ea91955f3d77a09a9f400ac4e1f6c76ae22bc169d979511415910fce01cf77acfdbaef837878488792015950d941b5eea239047187a449810e392a4d99b98
Homepage: https://cran.r-project.org/package=kinematics
Description: CRAN Package 'kinematics' (Studying Sampled Trajectories)
 Allows analyzing time series representing two-dimensional movements.  It
 accepts a data frame with a time (t), horizontal (x) and vertical (y)
 coordinate as columns, and returns several dynamical properties such as
 speed, acceleration or curvature.

Package: r-cran-kineticf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-lqmm, r-cran-splancs, r-cran-sp, r-cran-plotrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-kineticf_1.0-1.ca2004.1_all.deb
Size: 144532
MD5sum: b08199fd3dde2fe64ffaf108057101b8
SHA1: a0000e837b85dd37fc40f985a2d450804aa9de52
SHA256: 819421720b9538f255d17d25f619f61b5ad38dfeae57cce1173514d0013719fe
SHA512: 805460ec4b0c9e1b76f069c83e2d42aceac8b4afdfe76b78adf53b943e77d0848f8513ee49cc9cfc0f7ee7912bd314fb226582a68ed6b7b1c85b9ae9ed49c96e
Homepage: https://cran.r-project.org/package=kineticF
Description: CRAN Package 'kineticF' (Framework for the Analysis of Kinetic Visual Field Data)
 Data cleaning, processing, visualisation and analysis for manual (Goldmann)
 and automated (Octopus 900) kinetic visual field data.

Package: r-cran-kingcountyhouses
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-kingcountyhouses_0.1.0-1.ca2004.1_all.deb
Size: 626048
MD5sum: 516ecab8a6889e267ef67c8889713b2a
SHA1: 8ddd500a2552fe064edc2e83655dade5f07e99b1
SHA256: 5ca9a6d13cb2630e45dd02419d27e36695221b4cb5b90a96637e999038958bac
SHA512: c26c104ea1e66896ccbc59368787633ec00ae9dc94055c1d92c88646f7045e2398821426b2ceb095f0ea52be08f0372da7ae0e5eceaebdd610e58c3b8e9ce3b5
Homepage: https://cran.r-project.org/package=KingCountyHouses
Description: CRAN Package 'KingCountyHouses' (Data on House Sales in King County WA)
 Data on houses in and around Seattle WA are included. Basic characteristics
 are given along with sale prices.

Package: r-cran-kinmixlite
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dnamixtureslite, r-cran-graven, r-cran-statnet.common, r-cran-grbase, r-cran-rsolnp, r-cran-numderiv, r-cran-matrix, r-cran-ribd, r-cran-pedtools
Filename: pool/dists/focal/main/r-cran-kinmixlite_2.1.1-1.ca2004.1_all.deb
Size: 228968
MD5sum: 3a2b383d4d0952adad3318fc1ba5c8c2
SHA1: 2a3299dab5df27688aa2fbf75088ad3621a595e5
SHA256: 1e96159848a15029a5af3f1547411ce449c0d8f6e241961d178615dff8795733
SHA512: 83be48684d17407cb4862caf470130a88d232bcd55bfe4ae56d1781a91e79fcf4ad9c9aa80e9d7f7dd07e48d2ddda1244fa89337806e32be990e191aed22c40f
Homepage: https://cran.r-project.org/package=KinMixLite
Description: CRAN Package 'KinMixLite' (Inference About Relationships from DNA Mixtures)
 Methods for inference about relationships between contributors to a DNA
 mixture and other individuals of known genotype: a basic example would be
 testing whether a contributor to a mixture is the father of a child of known
 genotype. This provides most of the functionality of the 'KinMix' package,
 but with some loss of efficiency and restriction on problem size, as the
 latter uses 'RHugin' as the Bayes net engine, while this package uses
 'gRain'.  The package implements the methods introduced in Green, P. J. and
 Mortera, J. (2017) <doi:10.1016/j.fsigen.2017.02.001> and Green, P. J. and
 Mortera, J. (2021) <doi:10.1111/rssc.12498>.

Package: r-cran-kinship2
Architecture: all
Version: 1.9.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-quadprog, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-kinship2_1.9.6.1-1.ca2004.1_all.deb
Size: 514520
MD5sum: 37ca14e8bd17a64e316a38e650361211
SHA1: 01ea23a34cc17455e6b730462208218d8ffb5b88
SHA256: 801d873151cd542c998517732b989ff776d4a657c473dde4c89dd413960f3b5a
SHA512: c5018b67b84ea4e64e51e262032304f2f3a0a24888bbf9a824849d4e466d59c5c9d2cbdca521cece94a26773e1b9af652ceaecad6c5a3f79112e91cb2f81b50e
Homepage: https://cran.r-project.org/package=kinship2
Description: CRAN Package 'kinship2' (Pedigree Functions)
 Routines to handle family data with a pedigree object. The initial purpose
 was to create correlation structures that describe family relationships such
 as kinship and identity-by-descent, which can be used to model family data
 in mixed effects models, such as in the coxme function. Also includes a tool
 for pedigree drawing which is focused on producing compact layouts without
 intervention. Recent additions include utilities to trim the pedigree object
 with various criteria, and kinship for the X chromosome.

Package: r-cran-kinsimu
Architecture: all
Version: 0.1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 532
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kinsimu_0.1.2-2-1.ca2004.1_all.deb
Size: 424868
MD5sum: 596526f31e6829368c5466ac653a2246
SHA1: 13acf9b277d677fc15e96752c881697eb7e67b48
SHA256: 4407b73796f2194ed0ba0dfe555e4e2980b00900a34a7dc668f6c7834409abe6
SHA512: aa52cc40c8232897e1b16f5fae04eff95b92c74bd8e021e231b95d5b9002fdc41a191e6863c5faa2dbb4427832d6e608789041e8abf0fa3f1df344a753d487ba
Homepage: https://cran.r-project.org/package=KINSIMU
Description: CRAN Package 'KINSIMU' (Panel Evaluation in Forensic Kinship Analysis)
 Evaluate specific panels in different aspects: i) Simulation tools related
 to pedigree researches; ii) calculation for systemic effectiveness
 indicators, such as probability of exclusion (PE).

Package: r-cran-kirby21.base
Architecture: all
Version: 1.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-git2r
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kirby21.base_1.7.3-1.ca2004.1_all.deb
Size: 43508
MD5sum: e9ca0f67df9b3a28c8351384f5481221
SHA1: c763a9f55c5bbaa17dfcb005664e353dfbb9e4e0
SHA256: eff7e896390873eafe5d91c7f5fea7432a564c360b564eedac708b0bd8b33867
SHA512: 80ff01bf4bca80174fb4e246a5296960f0aaecc4499e7c361ff84510e172bc5e7e5d73de23b2d42f519a61bd4b995a9cadec89558a280c4a1963d54d36df4aed
Homepage: https://cran.r-project.org/package=kirby21.base
Description: CRAN Package 'kirby21.base' (Example Data from the Multi-Modal MRI 'Reproducibility' Resource)
 Multi-modal magnetic resonance imaging ('MRI') data from the 'Kirby21'
 'reproducibility' study <https://www.nitrc.org/projects/multimodal/>,
 including functional and structural imaging.

Package: r-cran-kirby21.fmri
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kirby21.base
Suggests: r-cran-kirby21.t1
Filename: pool/dists/focal/main/r-cran-kirby21.fmri_1.8.0-1.ca2004.1_all.deb
Size: 13624
MD5sum: 6444dc6ff098e23b2426d3c432f7194d
SHA1: 48a74a2b64cfb407e16163f1a68a5707e4e60406
SHA256: abceb5d087ee99ba5a8b1d920179a195f7284ff881ed6c36421b8b7ad58a95a5
SHA512: e7f093652f8782b75506b65eb3f3e93b2d4315063500089ae907fc50507f748b031c1d136ef4ec00663b5f43f740710e76ee69148a5c3ed26e5b0b8ba2c3f53e
Homepage: https://cran.r-project.org/package=kirby21.fmri
Description: CRAN Package 'kirby21.fmri' (Example Functional Imaging Data from the Multi-Modal MRI'Reproducibility' Resource)
 Functional magnetic resonance imaging ('fMRI') data from the 'Kirby21'
 'reproducibility' study <doi:10.1016/j.neuroimage.2010.11.047>.

Package: r-cran-kirby21.t1
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kirby21.base
Filename: pool/dists/focal/main/r-cran-kirby21.t1_1.8.0-1.ca2004.1_all.deb
Size: 14464
MD5sum: ea8b36a765db0e1bedc6e9fff564f88f
SHA1: 0e0c58626f1cf892365163ecb08117ebecd31cea
SHA256: 5a454cace783feb5dc93bd64214aae00a04a62c2db47f3bb23b903a0bd3f48da
SHA512: 37c3397706f45c82706d881f0fa38f52e61b81dd16d3712cf4143a38facd62845b91bcb2f33d661109427ef1b7bf08ba23553d880088414054e3bae33d57793b
Homepage: https://cran.r-project.org/package=kirby21.t1
Description: CRAN Package 'kirby21.t1' (Example T1 Structural Data from the Multi-Modal MRI'Reproducibility' Resource)
 Structural T1 magnetic resonance imaging ('MRI') data from the 'Kirby21'
 'reproducibility' study <doi:10.1016/j.neuroimage.2010.11.047>.

Package: r-cran-kisopenapi
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-httr2, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-kisopenapi_0.0.2-1.ca2004.1_all.deb
Size: 74128
MD5sum: f621708b56429d27adeeb6bbfd41f36d
SHA1: 0cf4db06abd1cbbfaa28421fad2910dc6f166d86
SHA256: d922a0eb45ea105f3ccf670b53c1aeb8345f0729c5b96fdda23ed218baf6374a
SHA512: 535c1b5884772fce3ce5c4a2ef3d0254326a05a4d59c14ffdb451529d13b2aea26f61b1326e2312717fca950acd12b08295461d0e6a195955e4b934f22ae7c8a
Homepage: https://cran.r-project.org/package=kisopenapi
Description: CRAN Package 'kisopenapi' (Korea Investment & Securities (KIS) Open Trading API)
 API Wrapper to use Korea Investment & Securities (KIS) trading system that
 provides various financial services like stock price check, orders and
 balance check <https://apiportal.koreainvestment.com/>.

Package: r-cran-kitagawa
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bessel, r-cran-kelvin, r-cran-psd
Suggests: r-cran-dplyr, r-cran-tibble, r-cran-rcolorbrewer, r-cran-signal, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-kitagawa_3.1.2-1.ca2004.1_all.deb
Size: 550460
MD5sum: b78f1f0e526e9f1f5609f1862a0f8e2c
SHA1: ea00fd439da8e0710d68edbce3fbc02245de3e55
SHA256: 9706f95f60876a29725519a26cfaa4a4f6f1ddb269a9fe8a9897338a60b21b14
SHA512: 64bab4c92475ec2751ebc4a93a326f2c5e8151a6d2cae6fdf6e440ed89ce36f8d36d32a0303012f7d38f9d1aa8450fbaed86c2f9c33581fd4662148873c67ceb
Homepage: https://cran.r-project.org/package=kitagawa
Description: CRAN Package 'kitagawa' (Spectral Response of Water Wells to Harmonic Strain and PressureSignals)
 Provides tools to calculate the theoretical hydrodynamic response of an
 aquifer undergoing harmonic straining or pressurization, or analyze measured
 responses. There are two classes of models here, designed for use with
 confined aquifers: (1) for sealed wells, based on the model of Kitagawa et
 al (2011, <doi:10.1029/2010JB007794>), and (2) for open wells, based on the
 models of Cooper et al (1965, <doi:10.1029/JZ070i016p03915>), Hsieh et al
 (1987, <doi:10.1029/WR023i010p01824>), Rojstaczer (1988,
 <doi:10.1029/JB093iB11p13619>), Liu et al (1989,
 <doi:10.1029/JB094iB07p09453>), and Wang et al (2018,
 <doi:10.1029/2018WR022793>). Wang's solution is a special exception which
 allows for leakage out of the aquifer (semi-confined); it is equivalent to
 Hsieh's model when there is no leakage (the confined case).  These models
 treat strain (or aquifer head) as an input to the physical system, and
 fluid-pressure (or water height) as the output. The applicable frequency
 band of these models is characteristic of seismic waves, atmospheric
 pressure fluctuations, and solid earth tides.

Package: r-cran-kitesquare
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-ggh4x, r-cran-scales, r-cran-rlang
Suggests: r-cran-knitr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-kitesquare_0.0.2-1.ca2004.1_all.deb
Size: 137736
MD5sum: 0ce91564ffea19563fa444f9811c86af
SHA1: ce921a5b98c824a3faf21be1028c7e8a5a0bfb92
SHA256: 899b180eea76ceb06ca48437fe6b27281d4a2e306e93345d250136214e852dc2
SHA512: d3de0a1df232bc48bb5b1910a3b7c8193e38353068cef39d73223840c8682807406958091f19723a36680ec6b2350c00a00e4bb27ca7a7cbcf6a7e401f9b27bc
Homepage: https://cran.r-project.org/package=kitesquare
Description: CRAN Package 'kitesquare' (Visualize Contingency Tables Using Kite-Square Plots)
 Create a kite-square plot for contingency tables using 'ggplot2', to display
 their relevant quantities in a single figure (marginal, conditional,
 expected, observed, chi-squared). The plot resembles a flying kite inside a
 square if the variables are independent, and deviates from this the more
 dependence exists.

Package: r-cran-kiwisr
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-lubridate, r-cran-dplyr, r-cran-purrr, r-cran-httr2
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kiwisr_0.2.4-1.ca2004.1_all.deb
Size: 36312
MD5sum: be871a80f1b811ee28f3ba9b7937b354
SHA1: bc378c5c0670424218148dc8af73023779b42056
SHA256: 8e583d86a32c03a6ed5e0a9d01f4a2f6ec7413c6bf38052f683d29c39a147e5f
SHA512: 3b5a0d8913177738c5949e26a8a91daf5683fa9b8fe54edee8ae77d708355756cb964793ad5c86938c11d95117740d7c5a29b419cc892c5edd87ce37410bafd1
Homepage: https://cran.r-project.org/package=kiwisR
Description: CRAN Package 'kiwisR' (A Wrapper for Querying KISTERS 'WISKI' Databases via the 'KiWIS'API)
 A wrapper for querying 'WISKI' databases via the 'KiWIS' 'REST' API. 'WISKI'
 is an 'SQL' relational database used for the collection and storage of water
 data developed by KISTERS and 'KiWIS' is a 'REST' service that provides
 access to 'WISKI' databases via HTTP requests
 (<https://www.kisters.eu/water-weather-and-environment/>).  Contains a list
 of default databases (called 'hubs') and also allows users to provide their
 own 'KiWIS' URL.  Supports the entire query process- from metadata to
 specific time series values. All data is returned as tidy tibbles.

Package: r-cran-kko
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grpreg, r-cran-knockoff, r-cran-doparallel, r-cran-foreach, r-cran-extdist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-kko_1.0.1-1.ca2004.1_all.deb
Size: 68868
MD5sum: ed929e897b9dd3c9e15c711ee89fefc7
SHA1: 015dfadf3e48789eb5834304607d8c015208c648
SHA256: aacaaaea36e538dc7b7943f2844e9851a35c2c86945d7e7a0a4547094f8782ac
SHA512: c5fb2492e567022158a405356e11407040cb50735f8496df789175a038a61716e17141d84956f6ea10341d134794760ff2a47d17821cdb7d4f9b2405e413b1c4
Homepage: https://cran.r-project.org/package=kko
Description: CRAN Package 'kko' (Kernel Knockoffs Selection for Nonparametric Additive Models)
 A variable selection procedure, dubbed KKO, for nonparametric additive model
 with finite-sample false discovery rate control guarantee. The method
 integrates three key components: knockoffs, subsampling for stability, and
 random feature mapping for nonparametric function approximation. For more
 information, see the accompanying paper: Dai, X., Lyu, X., & Li, L. (2021).
 “Kernel Knockoffs Selection for Nonparametric Additive Models”. arXiv
 preprint <arXiv:2105.11659>.

Package: r-cran-klar
Architecture: all
Version: 1.7-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 612
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-combinat, r-cran-questionr
Suggests: r-cran-scatterplot3d, r-cran-som, r-cran-mlbench, r-cran-rpart, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-klar_1.7-3-1.ca2004.1_all.deb
Size: 562908
MD5sum: 39669b3a91ed54a5be53e93eebee1d46
SHA1: 7e183d293672383e2903b218c0ecf988e1e9762d
SHA256: ccafebe08d53c1d127e383f32e970ea34d8b348288e4bfc670c0e60d85069a5b
SHA512: 289da137d740223b551901b90bbcc92bcd6c929d9027b874b19c4810b8ac7a2b0c877da9e7b91c1f4acc0992cbb2a8f9e23c1eacee864b00316a9b75d6863005
Homepage: https://cran.r-project.org/package=klaR
Description: CRAN Package 'klaR' (Classification and Visualization)
 Miscellaneous functions for classification and visualization, e.g.
 regularized discriminant analysis, sknn() kernel-density naive Bayes, an
 interface to 'svmlight' and stepclass() wrapper variable selection for
 supervised classification, partimat() visualization of classification rules
 and shardsplot() of cluster results as well as kmodes() clustering for
 categorical data, corclust() variable clustering, variable extraction from
 different variable clustering models and weight of evidence preprocessing.

Package: r-cran-klassr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tm, r-cran-httr, r-cran-jsonlite, r-cran-igraph
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-kableextra, r-cran-magrittr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-klassr_1.0.2-1.ca2004.1_all.deb
Size: 302308
MD5sum: 2906d527d2578d0203b7f13c80173626
SHA1: 72c0014c81c5ec10db7c70fa45966ffa7e07aa09
SHA256: 49ab758cd5ca8cd300f33e5ec880ecce16cc1b531822c35d32a0cbf25f3a8a37
SHA512: 360a458ebf8e195b49f8b4a778dd0a9df8227413f1dd480118b19ccb59e0d9ec1bb63e9fc7d7fb36442650cbc32a4f789ad2b13ab8f243cd7ee881f2fc5a846e
Homepage: https://cran.r-project.org/package=klassR
Description: CRAN Package 'klassR' (Classifications and Codelists for Statistics Norway)
 Functions to search, retrieve, apply and update classifications and
 codelists using Statistics Norway's API <https://www.ssb.no/klass> from the
 system 'KLASS'. Retrieves classifications by date with options to choose
 language, hierarchical level and formatting.

Package: r-cran-klausur
Architecture: all
Version: 0.12-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xtable, r-cran-psych
Filename: pool/dists/focal/main/r-cran-klausur_0.12-14-1.ca2004.1_all.deb
Size: 369156
MD5sum: 87b3e95c867066a68ebb904cceaa233a
SHA1: 4f96a5a9e07a1e15663a4446a873dce02c517f3e
SHA256: f32e870cbdfad07b47ef2a3b663c3689f7ba5b6e0259f14ccee7c4ec4fd3b3e4
SHA512: 9b03e64fda54fdc15839c5fbd090302ccd77d7cb85c9dfe538312e41bda2352fd2318765cb1541115c4324b17090c8c756e640d65ea8f4610d2c960890da4996
Homepage: https://cran.r-project.org/package=klausuR
Description: CRAN Package 'klausuR' (Multiple Choice Test Evaluation)
 A set of functions designed to quickly generate results of a multiple choice
 test. Generates detailed global results, lists for anonymous feedback and
 personalised result feedback (in LaTeX and/or PDF format), as well as item
 statistics like Cronbach's alpha or disciminatory power. 'klausuR' also
 includes a plugin for the R GUI and IDE RKWard, providing graphical dialogs
 for its basic features. The respective R package 'rkward' cannot be
 installed directly from a repository, as it is a part of RKWard. To make
 full use of this feature, please install RKWard from
 <https://rkward.kde.org> (plugins are detected automatically). Due to some
 restrictions on CRAN, the full package sources are only available from the
 project homepage.

Package: r-cran-kldest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rann
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kernsmooth, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kldest_1.0.0-1.ca2004.1_all.deb
Size: 107500
MD5sum: 1d5068bd41780fe367b29fc4eb0f2bd0
SHA1: 44134d9e2c653d274760f441ec4b3b54a141662e
SHA256: 518e7b6914adae8751e3f49e6fc9de33d953cb8ebbd1ec26173c31b973eb6a6b
SHA512: 607336deeb2aeffedbad15c955318070a0ab6a04166a25628f5b29388c2ac7cc6390f7b4151196bb31e3b1785c0baa6bc8601ec9f8fe714bb1ea1fd935fba9ad
Homepage: https://cran.r-project.org/package=kldest
Description: CRAN Package 'kldest' (Sample-Based Estimation of Kullback-Leibler Divergence)
 Estimation algorithms for Kullback-Leibler divergence between two
 probability distributions, based on one or two samples, and including
 uncertainty quantification.  Distributions can be uni- or multivariate and
 continuous, discrete or mixed.

Package: r-cran-kldtools
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kldtools_1.2-1.ca2004.1_all.deb
Size: 23512
MD5sum: be26cf68e67ccdf65eb368e8fce8a81c
SHA1: 6a7522beb0b63f361af795758e6b02ed3010cfb5
SHA256: 4a067127fbd73bd58a8cb76f3e088a540b7fa2828eb0cfae5b31d2c3128fdaa4
SHA512: 57b822aa60741a07f1ca2b97b0ac37e07290f4db037ba760ccf70a2a6973b12d98c41709512262d28f22a089e000e8be12abc3a300114dcb27eee665aaf8282a
Homepage: https://cran.r-project.org/package=kldtools
Description: CRAN Package 'kldtools' (Kullback-Leibler Divergence and Other Tools to AnalyzeFrequencies)
 Most importantly, calculates Kullback-Leibler Divergence (KLD), Turing's
 perspective estimator and their confidence intervals.

Package: r-cran-klexdatr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf
Suggests: r-cran-chk, r-cran-covr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-klexdatr_0.1.2-1.ca2004.1_all.deb
Size: 2087840
MD5sum: cb01a25709604b7c08fe20c0beefd409
SHA1: 5a8002f3dd0d5653c5fd605421db13e9d62d93ef
SHA256: 4d455c2c0ee19a10846353a571a504f47408f6a71d8a7207106e59ca63cb1189
SHA512: 30d6f9e94ef4cca4d3f46476b59f3ecabcce43cef9aa7fc9e5db5fe26c91c704aef709e6aa748bbb8d137c6a2fcd64724c0c4315a7038469470ca7131654f976
Homepage: https://cran.r-project.org/package=klexdatr
Description: CRAN Package 'klexdatr' (Kootenay Lake Exploitation Study Data)
 Six relational 'tibbles' from the Kootenay Lake Large Trout Exploitation
 study.  The study which ran from 2008 to 2014 caught, tagged and released
 large Rainbow Trout and Bull Trout in Kootenay Lake by boat angling.  The
 fish were tagged with internal acoustic tags and/or high reward external
 tags and subsequently detected by an acoustic receiver array as well as
 reported by anglers.  The data are analysed by Thorley and Andrusak (1994)
 <doi:10.7717/peerj.2874> to estimate the natural and fishing mortality of
 both species.

Package: r-cran-klexp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-klexp_1.0.0-1.ca2004.1_all.deb
Size: 21416
MD5sum: e48ccb3278433326c568cfe1e674e927
SHA1: 301355697aca5cd634a4dc247d7a406f86cd7d6b
SHA256: eee7eb4dcdfa01e6a4d7b0a23de02737f136e088ce00e4777bf20918e0fc353e
SHA512: 915e58f2a2ecdbe5498d884c34f8343de371de09aa15a7c9059d9a257cb0883d4c7c9e9c94e26692bee9ad50190d8df81982938f8d4d673788b8e2544e2828d9
Homepage: https://cran.r-project.org/package=KLexp
Description: CRAN Package 'KLexp' (Kernel_lasso Expansion)
 Provides the function to calculate the kernel-lasso expansion, Z-score, and
 max-min-scale standardization.It can increase the dimension of existed
 dataset and remove abundant features by lasso. Z Dai, L Jiayi, T Gong, C
 Wang (2021) <doi:10.1088/1742-6596/1955/1/012047>.

Package: r-cran-klic
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1926
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-cluster, r-cran-coca, r-cran-rcolorbrewer, r-cran-pheatmap
Suggests: r-cran-rmosek, r-cran-tikzdevice, r-cran-mclust, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-klic_1.0.4-1.ca2004.1_all.deb
Size: 715520
MD5sum: 943cbaa22eac7aed5ef81c89ec315138
SHA1: 0c2087073b18f87133e665a447c8c62cafd61d5c
SHA256: 15c300622b4a94f60b6df0c67515465d1471b9e5b5174cc4039872db783db5f4
SHA512: f515bab5950ca299e0c0d3fd6c55a24392d2c4924cfcb3d360d72c29f3e580b1553db4eccd7842b65d4063ce4474577ef67e7e51a243947511c38376a9e702e1
Homepage: https://cran.r-project.org/package=klic
Description: CRAN Package 'klic' (Kernel Learning Integrative Clustering)
 Kernel Learning Integrative Clustering (KLIC) is an algorithm that allows to
 combine multiple kernels, each representing a different measure of the
 similarity between a set of observations. The contribution of each kernel on
 the final clustering is weighted according to the amount of information
 carried by it. As well as providing the functions required to perform the
 kernel-based clustering, this package also allows the user to simply give
 the data as input: the kernels are then built using consensus clustering.
 Different strategies to choose the best number of clusters are also
 available. For further details please see Cabassi and Kirk (2020)
 <doi:10.1093/bioinformatics/btaa593>.

Package: r-cran-klink
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-forrel, r-cran-norstr, r-cran-gt, r-cran-openxlsx, r-cran-pedfamilias, r-cran-pedmut, r-cran-pedprobr, r-cran-pedtools, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-verbalisr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-klink_1.1.0-1.ca2004.1_all.deb
Size: 560840
MD5sum: 9cc89d9b75172e4158c9abe860c749c7
SHA1: c6d2671727c8a76933f41267043da5f69df9c1d9
SHA256: 396647b8bfb3ba5ad1c06507371fac37e433dd81b771ca296c823bf95dcde135
SHA512: 228b6c395d332412487aa5f8c93baeb17f826c6f6ad03e59b2c16ba9212ff362f5f32cd450996accd98ee17927e5074653e1b7d216e9a855f2490404e63032ba
Homepage: https://cran.r-project.org/package=KLINK
Description: CRAN Package 'KLINK' (Kinship Analysis with Linked Markers)
 A 'shiny' application for forensic kinship testing, based on the 'pedsuite'
 R packages. 'KLINK' is closely aligned with the (non-R) software 'Familias'
 and 'FamLink', but offers several unique features, including visualisations
 and automated report generation. The calculation of likelihood ratios
 supports pairs of linked markers, and all common mutation models.

Package: r-cran-klovan
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1930
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-dplyr, r-cran-fields, r-cran-ggally, r-cran-ggforce, r-cran-ggplot2, r-cran-ggrepel, r-cran-gstat, r-cran-metr, r-cran-pracma, r-cran-sp, r-cran-tibble, r-cran-magrittr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-sf, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-klovan_0.1.0-1.ca2004.1_all.deb
Size: 1406168
MD5sum: db4dfe40c244a1cdc4caa7c53d37ac2d
SHA1: cae10a5cc4648412b9f95c51f3941fc8c6d7ae98
SHA256: c3bd7ba29a9da659a7faf3a1ba9b8cedd52959b18d4789af0c757847f2afd69d
SHA512: 482088929e782cad9fb9d5efe7a1c43f123ecde3c133fdf3d7df1100d83eb397bf8da5e9c0960c5dbc47e3e11278cd1bf0207e65eacd08eefb36c2206fe70127
Homepage: https://cran.r-project.org/package=klovan
Description: CRAN Package 'klovan' (Geostatistics Methods and Klovan Data)
 A comprehensive set of geostatistical, visual, and analytical methods, in
 conjunction with the expanded version of the acclaimed J.E. Klovan's mining
 dataset, are included in 'klovan'. This makes the package an excellent
 learning resource for Principal Component Analysis (PCA), Factor Analysis
 (FA), kriging, and other geostatistical techniques. Originally published in
 the 1976 book 'Geological Factor Analysis', the included mining dataset was
 assembled by Professor J. E. Klovan of the University of Calgary.  Being one
 of the first applications of FA in the geosciences, this dataset has
 significant historical importance. As a well-regarded and published dataset,
 it is an excellent resource for demonstrating the capabilities of PCA, FA,
 kriging, and other geostatistical techniques in geosciences. For those
 interested in these methods, the 'klovan' datasets provide a valuable and
 illustrative resource.  Note that some methods require the 'RGeostats'
 package. Please refer to the README or Additional_repositories for
 installation instructions. This material is based upon research in the
 Materials Data Science for Stockpile Stewardship Center of Excellence
 (MDS3-COE), and supported by the Department of Energy's National Nuclear
 Security Administration under Award Number DE-NA0004104.

Package: r-cran-klsh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-blink, r-cran-plyr, r-cran-rcpp, r-cran-stringi, r-cran-snowballc
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-klsh_0.1.0-1.ca2004.1_all.deb
Size: 97600
MD5sum: 983e1a3f701d0e0d1438fa20216dc11d
SHA1: 28c9d30663155fa8794e8df0ab35566789641e1f
SHA256: 3a5f29bbdf91029a70f7530c3330da0adb2c35966f22372215db1bc7705f6b67
SHA512: d41a3d32fee99ff8eb2a3bec6f2310429757a6f89c9ce6ab6f39bec7d2ccac8e589ff14a6041f24aaaa8cbb51eac3ce78b8d014320e0efbb5b507ce8f96f0a40
Homepage: https://cran.r-project.org/package=klsh
Description: CRAN Package 'klsh' (Blocking for Record Linkage)
 An implementation of the blocking algorithm KLSH in Steorts, Ventura,
 Sadinle, Fienberg (2014) <DOI:10.1007/978-3-319-11257-2_20>, which is a
 k-means variant of locality sensitive hashing. The method is illustrated
 with examples and a vignette.

Package: r-cran-klustr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 825
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-klustr_0.1.0-1.ca2004.1_all.deb
Size: 194212
MD5sum: 3b1abe373370599d2e9d0e802a2109ad
SHA1: e9d6b37db25dbc86a3c260b19cb2a7b3a6941410
SHA256: fc4cbf633fe7b7a534f5c252d90f32e59764f51ddcb55368431773b16aaa765a
SHA512: 3801f9aea75257840203fb023813939efe15151aa9236e56e96fee6902670b233fd9be32250185674299b2da458a0e79f92efdd13563090e925d6aeab91a0670
Homepage: https://cran.r-project.org/package=klustR
Description: CRAN Package 'klustR' (D3 Dynamic Cluster Visualizations)
 Used to create dynamic, interactive 'D3.js' based parallel coordinates and
 principal component plots in 'R'.  The plots make visualizing k-means or
 other clusters simple and informative.

Package: r-cran-km.ci
Architecture: all
Version: 0.5-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-km.ci_0.5-6-1.ca2004.1_all.deb
Size: 67260
MD5sum: 8b73d8ce1225df5b71f6277b07f7d616
SHA1: 84645224b47af83602e22921342f27b8919d091c
SHA256: c274df48510a13c30067e2fad8a232bb84c764c1d0a105d63f5bd2b1c81cbe42
SHA512: dbb0225a12c8c9fd05e5e5cf0074bd7e6173bb6d0b07abd668edec19c70c8dba31ad1d4a91f76ab4394be264af6469e205a02798dd08bfd3b2024dee1aacb909
Homepage: https://cran.r-project.org/package=km.ci
Description: CRAN Package 'km.ci' (Confidence Intervals for the Kaplan-Meier Estimator)
 Computes various confidence intervals for the Kaplan-Meier estimator,
 namely: Peto's CI, Rothman CI, CI's based on Greenwood's variance, Thomas
 and Grunkemeier CI and the simultaneous confidence bands by Nair and Hall
 and Wellner.

Package: r-cran-kmd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-rann, r-cran-proxy, r-cran-mlpack, r-cran-boot, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-kmd_0.1.0-1.ca2004.1_all.deb
Size: 43740
MD5sum: 638d5b30665d3d26364bcda8300741c3
SHA1: 853bf146c276725d3b861dbe17801bc96f2af6b6
SHA256: 40bb8cbeae8941992d4f3555654231a35078b1df6ca65f1e1dca1bc083ffedb2
SHA512: 0f7fe9e01509b0d9302f99abb03b432dc59d38d1115383b89be14ed551d1a60f78bf6d6053fafe710186dd055aae73df14cc9fd6573ee0dbaad913acbf890732
Homepage: https://cran.r-project.org/package=KMD
Description: CRAN Package 'KMD' (Kernel Measure of Multi-Sample Dissimilarity)
 Implementations of the kernel measure of multi-sample dissimilarity (KMD)
 between several samples using K-nearest neighbor graphs and minimum spanning
 trees. The KMD measures the dissimilarity between multiple samples, based on
 the observations from them.  It converges to the population quantity
 (depending on the kernel) which is between 0 and 1.  A small value indicates
 the multiple samples are from the same distribution, and a large value
 indicates the corresponding distributions are different. The population
 quantity is 0 if and only if all distributions are the same, and 1 if and
 only if all distributions are mutually singular.  The package also
 implements the tests based on KMD for H0: the M distributions are equal
 against H1: not all the distributions are equal. Both permutation test and
 asymptotic test are available. These tests are consistent against all
 alternatives where at least two samples have different distributions. For
 more details on KMD and the associated tests, see Huang, Z. and B. Sen
 (2022) <arXiv:2210.00634>.

Package: r-cran-kmda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kmda_1.0-1.ca2004.1_all.deb
Size: 296352
MD5sum: efc3732c1b52d176d17ec661ce39f6ae
SHA1: d094b7b007c7c67961d5b3a801b2ae2ff095b6ee
SHA256: 009559e7a792e3d0276508edf262b1d1198e3703b92036c9ffc82e8692577b2f
SHA512: 5043f65aedb62e06ebdfcf4252db923af0372dca9be0275fb346e039c52ee0a55d0b2dfe306d5a9e756cf521274f572162b3abbb92e89eaf6d19b402b98447b4
Homepage: https://cran.r-project.org/package=KMDA
Description: CRAN Package 'KMDA' (Kernel-Based Metabolite Differential Analysis)
 Compute p-values of metabolite differential expression analysis using the
 kernel-based approach.

Package: r-cran-kmeans.knn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factoextra, r-cran-cluster, r-cran-ggplot2, r-cran-assertthat, r-cran-class, r-cran-caret
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kmeans.knn_0.1.0-1.ca2004.1_all.deb
Size: 40036
MD5sum: fda8b0f12ada7eac73bdd68e3570931e
SHA1: 64771bdcefd2cf3ebd7bad53563ec2d0853f787d
SHA256: ba639fe5cc3110896fb2e70f513d3bdba29e507e583a76c8f3ec46a99c8f8d40
SHA512: 9c7f3b9d93d9aec254dbe52ed2c820181ddf46c26d9ee455ba7a78119d682bc5c5124e56e080d6052532dd64541e37a5418862c78956fc0fca016bf430d4da71
Homepage: https://cran.r-project.org/package=KMEANS.KNN
Description: CRAN Package 'KMEANS.KNN' (KMeans and KNN Clustering Package)
 Implementation of Kmeans clustering algorithm and a supervised KNN (K
 Nearest Neighbors) learning method. It allows users to perform unsupervised
 clustering and supervised classification on their datasets. Additional
 features include data normalization, imputation of missing values, and the
 choice of distance metric. The package also provides functions to determine
 the optimal number of clusters for Kmeans and the best k-value for KNN:
 knn_Function(), find_Knn_best_k(), KMEANS_FUNCTION(), and
 find_Kmeans_best_k().

Package: r-cran-kmed
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kmed_0.4.2-1.ca2004.1_all.deb
Size: 262424
MD5sum: afcdf34d7e30abf9ff23819944d3a3e5
SHA1: ea019b39cb19aa96e9e6d1caeb2dc99481d2a054
SHA256: 0fb07c8b10fce0155950ea932517ec6169f126b398f7720b4f5da79ffa91488d
SHA512: 927a660c2c8110c93874e8929f125f1b4512323cbf09f3637888b1d5ec3e7f9c0c0b202a1624ce4cd62a6bd9143ca37434d437cd8d905df5d24ae0395d21a607
Homepage: https://cran.r-project.org/package=kmed
Description: CRAN Package 'kmed' (Distance-Based k-Medoids)
 Algorithms of distance-based k-medoids clustering: simple and fast
 k-medoids, ranked k-medoids, and increasing number of clusters in k-medoids.
 Calculate distances for mixed variable data such as Gower, Podani, Wishart,
 Huang, Harikumar-PV, and Ahmad-Dey. Cluster validation applies internal and
 relative criteria. The internal criteria includes silhouette index and
 shadow values. The relative criterium applies bootstrap procedure producing
 a heatmap with a flexible reordering matrix algorithm such as complete,
 ward, or average linkages. The cluster result can be plotted in a marked
 barplot or pca biplot.

Package: r-cran-kmedians
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-genieclust, r-cran-gmedian, r-cran-mvtnorm, r-cran-capushe, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-kmedians_2.2.0-1.ca2004.1_all.deb
Size: 60572
MD5sum: be4d70533c6c9b30971b674f9e751a6f
SHA1: 179774b05e538ab6ef3974cfc3bae47d7d2c4b12
SHA256: d25d3f008391239272b1b636f3d979fa120e669469660ef996e3b294e98775eb
SHA512: d5a1fc4381bb2d2a274f664ed863aad27cb3f54981a8d5401442a5ff21ba275d773fb65cb183ed549a53c2233851452bf0b19c50709787c5e8fecbddfc566756
Homepage: https://cran.r-project.org/package=Kmedians
Description: CRAN Package 'Kmedians' (K-Medians)
 Online, Semi-online, and Offline K-medians algorithms are given. For both
 methods, the algorithms can be initialized randomly or with the help of a
 robust hierarchical clustering. The number of clusters can be selected with
 the help of a penalized criterion. We provide functions to provide robust
 clustering. Function gen_K() enables to generate a sample of data following
 a contaminated Gaussian mixture.  Functions Kmedians() and Kmeans() consists
 in a K-median and a K-means algorithms while Kplot() enables to produce
 graph for both methods.  Cardot, H., Cenac, P. and Zitt, P-A. (2013).
 "Efficient and fast estimation of the geometric median in Hilbert spaces
 with an averaged stochastic gradient algorithm". Bernoulli, 19, 18-43.
 <doi:10.3150/11-BEJ390>.  Cardot, H. and Godichon-Baggioni, A. (2017). "Fast
 Estimation of the Median Covariation Matrix with Application to Online
 Robust Principal Components Analysis". Test, 26(3), 461-480
 <doi:10.1007/s11749-016-0519-x>.  Godichon-Baggioni, A. and Surendran, S. "A
 penalized criterion for selecting the number of clusters for K-medians"
 <arXiv:2209.03597> Vardi, Y. and Zhang, C.-H. (2000). "The multivariate
 L1-median and associated data depth". Proc. Natl. Acad. Sci. USA,
 97(4):1423-1426. <doi:10.1073/pnas.97.4.1423>.

Package: r-cran-kmers
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-bioc-biocgenerics, r-bioc-pwalign
Suggests: r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-unittest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kmers_2.1.0-1.ca2004.1_all.deb
Size: 61988
MD5sum: 301ae400b59d84cb9f242640302cc706
SHA1: fab476b85841e1ca47762d1b13464cd9a58f23cd
SHA256: 4b42e8af14f7c82cb7fae7047764cde2d872cc695b5e34644bd7e99233de780c
SHA512: fdcaafae36b797706d8e3f52842a4a4daf98e1ae2199d8092cfe2ac3a61107618695a34afdbd120b54d0f4bc7ac71dcb7736c4f329f54ca734e4f814cd8ab466
Homepage: https://cran.r-project.org/package=kmeRs
Description: CRAN Package 'kmeRs' (K-Mers Similarity Score Matrix and HeatMap)
 Similarity Score Matrix and HeatMap for nucleic and amino acid k-mers.
 Similarity score is evaluated by Point Accepted Mutation (PAM) and BLOcks
 SUbstitution Matrix (BLOSUM). The 30, 40, 70, 120, 250 and 62, 45, 50, 62,
 80, 100 matrix versions are available for PAM and BLOSUM, respectively.
 Alignment is evaluated by local and global alignment.

Package: r-cran-kmi
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mitools, r-cran-survival
Filename: pool/dists/focal/main/r-cran-kmi_0.5.5-1.ca2004.1_all.deb
Size: 72916
MD5sum: 82425e9669a77cb68ae1c20889bc4a97
SHA1: c8945803b238323f2037819a772abbcdc0ef4eef
SHA256: fe48bcb4aa94d362d94afa007c20403249ed17ce039f7cbc31009d7a603d7bc9
SHA512: a6fd234f14dca624ab6a2de223ea82fc2e3365af0b21d8b744c243e11d26882a6b976ac2dbdd3b06a8053c1f8835d3926a6f3a937b3ebcfcc1eb41c29131e70f
Homepage: https://cran.r-project.org/package=kmi
Description: CRAN Package 'kmi' (Kaplan-Meier Multiple Imputation for the Analysis of CumulativeIncidence Functions in the Competing Risks Setting)
 Performs a Kaplan-Meier multiple imputation to recover the missing potential
 censoring information from competing risks events, so that standard
 right-censored methods could be applied to the imputed data sets to perform
 analyses of the cumulative incidence functions (Allignol and Beyersmann,
 2010 <doi:10.1093/biostatistics/kxq018>).

Package: r-cran-kml3d
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clv, r-cran-rgl, r-cran-misc3d, r-cran-longitudinaldata, r-cran-kml
Filename: pool/dists/focal/main/r-cran-kml3d_2.5.0-1.ca2004.1_all.deb
Size: 292976
MD5sum: 73ebaee44f9ccffa36408bb768e41753
SHA1: cdfa99613261b4ab80405ebacae45cfd4d00d5c6
SHA256: 78f587eda83ab8eaf4fa75b0361832f3ac4c1f39097d5ff0de019b884b8acdda
SHA512: b19620f30299275cba42558d0d80c0973be5b6dad6573b59f81bc59f072c391305a7f3b1c1dc1e0d0020dca7e07b51247815a140cb9f274a316c18f35d61f57f
Homepage: https://cran.r-project.org/package=kml3d
Description: CRAN Package 'kml3d' (K-Means for Joint Longitudinal Data)
 An implementation of k-means specifically design to cluster joint
 trajectories (longitudinal data on several variable-trajectories).  Like
 'kml', it provides facilities to deal with missing value, compute several
 quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin,
 BIC,...) and propose a graphical interface for choosing the 'best' number of
 clusters. In addition, the 3D graph representing the mean joint-trajectories
 of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF
 graph.

Package: r-cran-kmltoshape
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-stringr, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kmltoshape_0.1.0-1.ca2004.1_all.deb
Size: 23824
MD5sum: 760314aa29e8467a28b2b3040a8507d9
SHA1: b3e5272b8a3c50b68b12c3bf2a847f9a019208ca
SHA256: d42eda3b52e73834d59f2259d2f935741a8f05e07f0dda5d4a3dc98d03cf3f55
SHA512: ee862e33c20197823a4e43eb3ab85d791ed373dab9004438d7d35581f22f3367ffdd291e17bcd044fda26d8e57e3f14ff416ff7e9bb9a09103aa0b984c571154
Homepage: https://cran.r-project.org/package=KMLtoSHAPE
Description: CRAN Package 'KMLtoSHAPE' (Preserving Attribute Values: Converting KML to Shapefile)
 The developed function is designed to facilitate the seamless conversion of
 KML (Keyhole Markup Language) files to Shapefiles while preserving attribute
 values. It provides a straightforward interface for users to effortlessly
 import KML data, extract relevant attributes, and export them into the
 widely compatible Shapefile format. The package ensures accurate
 representation of spatial data while maintaining the integrity of associated
 attribute information. For details see, Flores, G. (2021).
 <DOI:10.1007/978-3-030-63665-4_15>.  Whether for spatial analysis,
 visualization, or data interoperability, it simplifies the conversion
 process and empowers users to seamlessly work with geospatial datasets.

Package: r-cran-kmodr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kmodr_0.2.0-1.ca2004.1_all.deb
Size: 24188
MD5sum: 8514a80a9b354e51febc2e1333a548a9
SHA1: 72b4c0e001a9b8eaa758dd4b88c78f9599e7b0e4
SHA256: 2659cb7683c24dc116532553ca426ac668863fd2e5eb2da5645ea4bd642df550
SHA512: b86de4465da2d04c6f3f8e9a0f3c2f8c4963de78177bc120ff6e8642900fd5ae85d2b3d073f11356629f24adb21df090293d05cad71a58fc669b60e7f3286b00
Homepage: https://cran.r-project.org/package=kmodR
Description: CRAN Package 'kmodR' (K-Means with Simultaneous Outlier Detection)
 An implementation of the 'k-means--' algorithm proposed by Chawla and
 Gionis, 2013 in their paper, "k-means-- : A unified approach to clustering
 and outlier detection.  SIAM International Conference on Data Mining
 (SDM13)", <doi:10.1137/1.9781611972832.21> and using 'ordering' described by
 Howe, 2013 in the thesis, Clustering and anomaly detection in tropical
 cyclones".  Useful for creating (potentially) tighter clusters than standard
 k-means and simultaneously finding outliers inexpensively in
 multidimensional space.

Package: r-cran-kmscv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-parsnip, r-cran-rsample, r-cran-tibble, r-cran-purrr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-kmscv_0.1.0-1.ca2004.1_all.deb
Size: 15224
MD5sum: 7d0bd5c6d7eee239bd9f3506d4e6aa59
SHA1: 94e751dfab498d19468ac8499d7ed9d0bb3365cd
SHA256: dc9184a5e83e5bea3899daae8e5efa86b39979aa20ce929d7eaa7e076cb846c0
SHA512: 46a70f9809b97de1645fd54727f39a5ba13bd704e04b959ca0d675bc62cbb7c49696d5e8de309d1e35b30bd9844bb3f624e3e52e0efdb3d592f5e6686a35cedd
Homepage: https://cran.r-project.org/package=kmscv
Description: CRAN Package 'kmscv' (K-Means Based Stratified Resampling)
 An 'rsample' extension to create cluster based stratified resamples for
 cross-validation.

Package: r-cran-kmsurv
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kmsurv_0.1-6-1.ca2004.1_all.deb
Size: 120308
MD5sum: 2c48e2d0808d7401496d533270d3d6af
SHA1: 34c4785b5864835de5d3134df636c291c02cd881
SHA256: 596f584e77408c7d5949db0a026bfdf307bf1892b6e2ce33aee128e54b49ce64
SHA512: 4f693cb8b91c2274994845a35f33659ab0ff8ed70c54c4d012414e86419a166c87d40e32e19ea31447f67ac5eea6f381767706097c49172f74f14693b8b0bff3
Homepage: https://cran.r-project.org/package=KMsurv
Description: CRAN Package 'KMsurv' (Datasets from Klein and Moeschberger (1997), Survival Analysis)
 Datasets and functions for Klein and Moeschberger (1997), "Survival
 Analysis, Techniques for Censored and Truncated Data", Springer.

Package: r-cran-kmunicate
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3627
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-checkmate, r-cran-cowplot, r-cran-ggplot2, r-cran-pammtools, r-cran-tidyr
Suggests: r-cran-broom, r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-simsurv, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-kmunicate_0.2.5-1.ca2004.1_all.deb
Size: 2090280
MD5sum: b7823771c4e44888efefe21730791b23
SHA1: 8c533d8a64e61cbda84da1c6b31f6416daa1f231
SHA256: 0bfef72e42de383d5e9b6bee12bd3f27a1729041735f1157fdb5ab681a069f13
SHA512: 6de2de3938bcfcd8b7b4261abdc94e684b8ae4a331e4e09d3947b1ddf7b29fc6b709f9c5767a0f15a63a49108a8f97338cb52d06943a289b745690e80d06189c
Homepage: https://cran.r-project.org/package=KMunicate
Description: CRAN Package 'KMunicate' (KMunicate-Style Kaplan–Meier Plots)
 Produce Kaplan–Meier plots in the style recommended following the KMunicate
 study by Morris et al. (2019) <doi:10.1136/bmjopen-2019-030215>. The
 KMunicate style consists of Kaplan-Meier curves with confidence intervals to
 quantify uncertainty and an extended risk table (per treatment arm)
 depicting the number of study subjects at risk, events, and censored
 observations over time.  The resulting plots are built using 'ggplot2' and
 can be further customised to a certain extent, including themes, fonts, and
 colour scales.

Package: r-cran-knapsacksampling
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-knapsacksampling_0.1.1-1.ca2004.1_all.deb
Size: 27276
MD5sum: 7a916bacf05f8d691fac6de6c277a01e
SHA1: 61ebdfeae0ae596a1d37624b2618cbe15f036bd2
SHA256: 43817b8630f41d8a5f0ec1da88182917f865d723a76891579bf199de75815ae7
SHA512: 9fe8dd4ff378ff9ef7d1fa35a22f7ac4a6e7528a1ead42820bf7951a720ffd211e4c54ac4d157ef520dbb316dba3bbcf7da24c594240d793a6e23f0494863adf
Homepage: https://cran.r-project.org/package=KnapsackSampling
Description: CRAN Package 'KnapsackSampling' (Generate Feasible Samples of a Knapsack Problem)
 The sampl.mcmc function creates samples of the feasible region of a knapsack
 problem with both equalities and inequalities constraints.

Package: r-cran-kneearrower
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kneearrower_1.0.0-1.ca2004.1_all.deb
Size: 50036
MD5sum: 56816f9fb54d5d4d73e899d45b78dfb0
SHA1: 320ff3ea74abc3350fdffa9ae6e944fa48356d99
SHA256: 2b2df57a809f3f37897750de11919e49d84462602b2748b7fabad2e6a6686460
SHA512: cf139fb2af88c300c59578f9dc348a0566d40043a7b5484b4fa1075b619136b86e76f98dd05cc2042b0fe9295786a4cc65b42f2a6f6e5b6ef2c8cbc84f9bdf97
Homepage: https://cran.r-project.org/package=KneeArrower
Description: CRAN Package 'KneeArrower' (Finds Cutoff Points on Knee Curves)
 Given a set of points around a knee curve, analyzes first and second
 derivatives to find knee points.

Package: r-cran-knfi
Architecture: all
Version: 1.0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1809
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-readxl, r-cran-stringr, r-cran-vegan, r-cran-tidyr, r-cran-biodiversityr, r-cran-data.table, r-cran-sf, r-cran-plotrix, r-cran-rlang, r-cran-cellranger, r-cran-broom, r-cran-ggplot2, r-cran-sp, r-cran-cowplot, r-cran-ggpubr, r-cran-drat, r-cran-purrr, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-knfi_1.0.1.9-1.ca2004.1_all.deb
Size: 1767584
MD5sum: 37753566eb26e15194b3db3246b3378b
SHA1: 13f6bb6a7b2d807669a3ff92cbe0cb06cfb98c29
SHA256: 348814bcafbec6f981728d157c1cb3bceaa6ddb1d5718466ca7ce5300e06421e
SHA512: 48b5161157781a41702f67c2779926b6db12bf3a280bb9450718d86d0a6bfbd629cdcd6e2c893c03a263ef73f6ce2289d02ee648d097c143d46f98e35db0bed3
Homepage: https://cran.r-project.org/package=knfi
Description: CRAN Package 'knfi' (Analysis of Korean National Forest Inventory Database)
 Understanding the current status of forest resources is essential for
 monitoring changes in forest ecosystems and generating related statistics.
 In South Korea, the National Forest Inventory (NFI) surveys over 4,500
 sample plots nationwide every five years and records 70 items, including
 forest stand, forest resource, and forest vegetation surveys. Many
 researchers use NFI as the primary data for research, such as biomass
 estimation or analyzing the importance value of each species over time and
 space, depending on the research purpose. However, the large volume of
 accumulated forest survey data from across the country can make it
 challenging to manage and utilize such a vast dataset. To address this
 issue, we developed an R package that efficiently handles large-scale NFI
 data across time and space. The package offers a comprehensive workflow for
 NFI data analysis. It starts with data processing, where read_nfi() function
 reconstructs NFI data according to the researcher's needs while performing
 basic integrity checks for data quality.Following this, the package provides
 analytical tools that operate on the verified data. These include functions
 like summary_nfi() for summary statistics, diversity_nfi() for biodiversity
 analysis, iv_nfi() for calculating species importance value, and
 biomass_nfi() and cwd_biomass_nfi() for biomass estimation. Finally, for
 visualization, the tsvis_nfi() function generates graphs and maps, allowing
 users to visualize forest ecosystem changes across various spatial and
 temporal scales. This integrated approach and its specialized functions can
 enhance the efficiency of processing and analyzing NFI data, providing
 researchers with insights into forest ecosystems. The NFI Excel files
 (.xlsx) are not included in the R package and must be downloaded separately.
 Users can access these NFI Excel files by visiting the Korea Forest Service
 Forestry Statistics Platform
 <https://kfss.forest.go.kr/stat/ptl/article/articleList.do?curMenu=11694&bbsId=microdataboard>
 to download the annual NFI Excel files, which are bundled in .zip archives.
 Please note that this website is only available in Korean, and direct
 download links can be found in the notes section of the read_nfi() function.

Package: r-cran-knitcitations
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-refmanager, r-cran-digest, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-knitcitations_1.0.12-1.ca2004.1_all.deb
Size: 64516
MD5sum: ab53db570e100058aea7ecbb71c042b5
SHA1: d855fdbc88ab2fa3f51c200b08a50b4af6c5b4be
SHA256: 673537f08f096f2b0c640e477d1d3ed0f010fc16b94487eb9557fc1de34d4b75
SHA512: 4ac0afeb304149d8cd05cc07929cdcc7b0bd80bd6b23947695ba4ad1b8beedce20c56000d457d759c79c557590b71ec730d04299eabbead55733335ae3c6ea3a
Homepage: https://cran.r-project.org/package=knitcitations
Description: CRAN Package 'knitcitations' (Citations for 'Knitr' Markdown Files)
 Provides the ability to create dynamic citations in which the bibliographic
 information is pulled from the web rather than having to be entered into a
 local database such as 'bibtex' ahead of time. The package is primarily
 aimed at authoring in the R 'markdown' format, and can provide outputs for
 web-based authoring such as linked text for inline citations.  Cite using a
 'DOI', URL, or 'bibtex' file key.  See the package URL for details.

Package: r-cran-knitlatex
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-knitlatex_0.9.0-1.ca2004.1_all.deb
Size: 207392
MD5sum: c30067aa8cbfe2e1fe907a57ec219c37
SHA1: 9f721b19ceae741f3b64ba49890ff9174033ee3f
SHA256: 87e23a77d8a824bfcb390878e25c2d57a6cf31ca8a3ba233e3795b3815fd8d96
SHA512: 74e4216c82927bea985a92910ad6e4dd17a3d50d32b58d5ed296bfd43d3881d9c748d5ada856fa9ec807220cb8e174deb88e6f5921826f23e4f11b5f065a48eb
Homepage: https://cran.r-project.org/package=knitLatex
Description: CRAN Package 'knitLatex' ('Knitr' Helpers - Mostly Tables)
 Provides several helper functions for working with 'knitr' and 'LaTeX'.  It
 includes 'xTab' for creating traditional 'LaTeX' tables, 'lTab' for
 generating 'longtable' environments, and 'sTab' for generating a
 'supertabular' environment.  Additionally, this package contains a
 knitr_setup() function which fixes a well-known bug in 'knitr', which
 distorts the 'results="asis"' command when used in conjunction with
 user-defined commands; and a com command (<<com=TRUE>>=) which renders the
 output from 'knitr' as a 'LaTeX' command.

Package: r-cran-knitr
Architecture: all
Version: 1.50-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1583
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evaluate, r-cran-highr, r-cran-xfun, r-cran-yaml
Suggests: r-cran-bslib, r-cran-codetools, r-cran-dbi, r-cran-digest, r-cran-formatr, r-cran-gifski, r-cran-gridsvg, r-cran-htmlwidgets, r-cran-jpeg, r-cran-juliacall, r-cran-magick, r-cran-litedown, r-cran-markdown, r-cran-png, r-cran-ragg, r-cran-reticulate, r-cran-rgl, r-cran-rlang, r-cran-rmarkdown, r-cran-sass, r-cran-showtext, r-cran-styler, r-cran-targets, r-cran-testit, r-cran-tibble, r-cran-tikzdevice, r-cran-tinytex, r-cran-webshot, r-cran-rstudioapi, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-knitr_1.50-1.ca2004.1_all.deb
Size: 991904
MD5sum: 521dcfed565b13e591eaf925cd1e82b8
SHA1: 5aea7abba9046a1fad4efa9a000462c7b2e7e6a1
SHA256: 2909bb9831f6ad3374d86b5cf12408c9b92ecd9615b5302ebe5326199f9c79ae
SHA512: d73794c6a9d495b0a29e2e515593b6e46ee62d6c845f7a5c58999429945c6da7115c9dce713ff237ca79a2c95ee43be10b28cd7b6bdb4184b67bb6e3f25ba711
Homepage: https://cran.r-project.org/package=knitr
Description: CRAN Package 'knitr' (A General-Purpose Package for Dynamic Report Generation in R)
 Provides a general-purpose tool for dynamic report generation in R using
 Literate Programming techniques.

Package: r-cran-knitrbootstrap
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2369
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-corrplot, r-cran-ggplot2, r-cran-igraph, r-cran-maps, r-cran-mapproj, r-cran-plyr, r-cran-reshape2, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-knitrbootstrap_1.0.3-1.ca2004.1_all.deb
Size: 1399120
MD5sum: 014c5d1966533a38808b63cd5d5c57c6
SHA1: 161e2d8fad95e5c66fccd1cb3d441b281ec36e1a
SHA256: 4e353ad25aa5e40df290bd8a4c95ea1a2b37e963ce5be5cff5215e2b181794d9
SHA512: d6dedebb5ee04b5334be0ebb2d35f7e1457916d6ed573687c18cd6e62aa7fbfb10017557c77bc988d067095bed0ba3934ea65589bec057d5c65251a7e1099850
Homepage: https://cran.r-project.org/package=knitrBootstrap
Description: CRAN Package 'knitrBootstrap' ('knitr' Bootstrap Framework)
 A framework to create Bootstrap <https://getbootstrap.com/> HTML reports
 from 'knitr' 'rmarkdown'.

Package: r-cran-knitrdata
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-xfun
Suggests: r-cran-gpg, r-cran-rmarkdown, r-cran-magrittr, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-dt, r-cran-digest
Filename: pool/dists/focal/main/r-cran-knitrdata_0.6.1-1.ca2004.1_all.deb
Size: 116604
MD5sum: 42b4aa05393938c61ca8902655961999
SHA1: 804b2ffbc7b9bff2d1a55f9cb20005f2a769cd99
SHA256: 32097e0b6326eecc33b374e794efbb993b0e46ad554ede963b488b2fba82cb6b
SHA512: 9ef6f69cd995ea694a7c802be15ebf1a1c0cfe7e375d4a779c8593830a0d49a4f002c1e514c26c6fae87d708d42f9d25327e01f66b5a89e9adae237f69b5d30e
Homepage: https://cran.r-project.org/package=knitrdata
Description: CRAN Package 'knitrdata' (Data Language Engine for 'knitr' / 'rmarkdown')
 Implements a data language engine for incorporating data directly in
 'rmarkdown' documents so that they can be made completely standalone.

Package: r-cran-knitrprogressbar
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-r.oo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-testthat, r-cran-covr, r-cran-mockr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-knitrprogressbar_1.1.1-1.ca2004.1_all.deb
Size: 121292
MD5sum: 7acfb2a4c76b0f75c90414cdbebd392c
SHA1: 51443cbfe371b7cdd805cb18e71cfc436abd2431
SHA256: 3d74ae097e599a50e7a5d32bd2b133420e91c3ca0c6055e16d8f0a76a5942697
SHA512: b9bc7589f5e7e8f81a0c7b17be4d9ac50559327b686bf7bf534aadc14afe7fcd72a8bb9ec4944dac95cfea7bd7e98d45d571b9880d9cd0b15116ae8ab6d0a686
Homepage: https://cran.r-project.org/package=knitrProgressBar
Description: CRAN Package 'knitrProgressBar' (Provides Progress Bars in 'knitr')
 Provides a progress bar similar to 'dplyr' that can write progress out to a
 variety of locations, including stdout(), stderr(), or from file(). Useful
 when using 'knitr' or 'rmarkdown', and you still want to see progress of
 calculations in the terminal.

Package: r-cran-knitxl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-commonmark, r-cran-glue, r-cran-magrittr, r-cran-openxlsx, r-cran-purrr, r-cran-r6, r-cran-readbitmap, r-cran-readr, r-cran-stringr, r-cran-xml2, r-cran-yaml
Suggests: r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-knitxl_0.1.0-1.ca2004.1_all.deb
Size: 156900
MD5sum: 3dfb0791669636dbc896a7d286c54323
SHA1: e19421fab702d5cf5d24493df47730e17bdb58a4
SHA256: 66edb7b19fa9ed0aa5ad43b133ae1ccbae3d913ff762c837b014e682769adebd
SHA512: 408ff34edb46c4e161160f02bcbcf7866cd67c7e5695437c7d15e47b91bb77d660799062e4f182567e835afade02e7d2a4ef1831bcf8ce95b23847eaf9759355
Homepage: https://cran.r-project.org/package=knitxl
Description: CRAN Package 'knitxl' (Generates a Spreadsheet Report from an 'rmarkdown' File)
 Convert an R Markdown documents into an '.xlsx' spreadsheet reports with the
 knitxl() function, which works similarly to knit() from the 'knitr' package.
 The generated report can be opened in 'Excel' or similar software for
 further analysis and presentation.

Package: r-cran-knnindep
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-knnindep_2.0-1.ca2004.1_all.deb
Size: 96224
MD5sum: ffcce16c83e8c5b1c8c0d7407d2a367c
SHA1: 9bc9036e8843259d83ca22c372addcf9dedd575d
SHA256: 6435f038ea1955209ce34522eac578c1637f745ab252e9fa3c597290ab03270c
SHA512: 5a4212c19c6fbcf2fe649cb4ad1e5b9efac26810ef408821aded8a1ea631d0b7f35bb15a13ce87fd016fb2c9f30ae6a0a186ec5ed1273cf9297fb104a50757ab
Homepage: https://cran.r-project.org/package=knnIndep
Description: CRAN Package 'knnIndep' (Independence tests and benchmarks)
 This package provides the implementation of an exact formula of the ith
 nearest neighbour distance distribution and implementations of tests of
 independence based on that formula. Furthermore the package provides a
 general framework to benchmark tests of independence.

Package: r-cran-knnp
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-paralleldist, r-cran-forecast, r-cran-doparallel, r-cran-foreach, r-cran-plyr
Suggests: r-cran-tseries, r-cran-tsibble
Filename: pool/dists/focal/main/r-cran-knnp_2.0.0-1.ca2004.1_all.deb
Size: 50776
MD5sum: 4384367f671fbbe97289277fbb6bcda6
SHA1: d3a105917876fae0a7be56f246a463f16b611d50
SHA256: 31aa928d9e39b81f99107f23546d26a1762f9014f1e2fdbe3931e87ca244cfdf
SHA512: 97a74dc1d41e72c15f3caf495928c49a9642ffb8e847c5cc82a74fe5002b2f4234f297ea05092c62f39d2184714324940b06a1bcbdf9f3274219c7baecc5975a
Homepage: https://cran.r-project.org/package=knnp
Description: CRAN Package 'knnp' (Time Series Prediction using K-Nearest Neighbors Algorithm(Parallel))
 Two main functionalities are provided. One of them is predicting values with
 k-nearest neighbors algorithm and the other is optimizing the parameters k
 and d of the algorithm.  These are carried out in parallel using multiple
 threads.

Package: r-cran-knnshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable, r-cran-psycho, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-knnshiny_0.1.0-1.ca2004.1_all.deb
Size: 70740
MD5sum: 1f2e78a73a503a7902f7a61299aab25a
SHA1: 714afd8e702163e64967d45a43462fc9f563576c
SHA256: 50273acdeed924c704c86f19d7dbe1875d99e89d4266ab06f2002d02e7cebfe6
SHA512: c1966c66e249a4da4a5d9e6c45795ddb4fda3a73bc0331a883bb33a4885fa7ad8851de303eef5122e3d1ae3b71b7900d51d17394c54970a512f5ee0076df1bca
Homepage: https://cran.r-project.org/package=KNNShiny
Description: CRAN Package 'KNNShiny' (Interactive Document for Working with KNN Analysis)
 An interactive document on the topic of K-nearest neighbour (KNN) using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://kartikeyabolar.shinyapps.io/KNNShiny/>.

Package: r-cran-knnvs
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Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-knnvs_0.1.0-1.ca2004.1_all.deb
Size: 18188
MD5sum: dbb17406106dbc57e5506712a50c7858
SHA1: 2dfe47066f0a52ed3ae4b2045f558b4c6eabb5a7
SHA256: 75cbb85fab845afe61eee2b804c635f946a319931625b01edfb67939f03abb22
SHA512: 68aeebcb99712943b61692062f7ada515e6a7c9a7ee3dce518ac5866f17e6b2c57028dd6d96b787ab361ac19e8f4e8c616d7e80aa5dd8967567dcadb68f4e7ef
Homepage: https://cran.r-project.org/package=kNNvs
Description: CRAN Package 'kNNvs' (k Nearest Neighbors with Grid Search Variable Selection)
 k Nearest Neighbors with variable selection, combine grid search and forward
 selection to achieve variable selection in order to improve k Nearest
 Neighbors predictive performance.

Package: r-cran-knnwtsim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-knnwtsim_1.0.0-1.ca2004.1_all.deb
Size: 241488
MD5sum: 9d317f446e4d59cdc5d7e0d6abaf6c43
SHA1: 5df66c510b9edc70ae0845f90d7c3572bfe074cc
SHA256: bac8db9f1de2252afc194f80d0aa5d6f42b1b9a83041121ebe75e7ff9bb49b4c
SHA512: 5048c44f77e18f19b34b159d61c950b3b91cde002554001515384531f1258a852e7f8057a18372533e8a1c71fc1b60fae0d31855d610e5332863cccf5bfcc86a
Homepage: https://cran.r-project.org/package=knnwtsim
Description: CRAN Package 'knnwtsim' (K Nearest Neighbor Forecasting with a Tailored Similarity Metric)
 Functions to implement K Nearest Neighbor forecasting using a weighted
 similarity metric tailored to the problem of forecasting univariate time
 series where recent observations, seasonal patterns, and exogenous
 predictors are all relevant in predicting future observations of the series
 in question. For more information on the formulation of this similarity
 metric please see Trupiano (2021) <arXiv:2112.06266>.

Package: r-cran-knobi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 820
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-corrplot, r-cran-ggplot2, r-cran-gridextra, r-cran-optimx, r-cran-plot3d, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-icessag
Filename: pool/dists/focal/main/r-cran-knobi_0.1.0-1.ca2004.1_all.deb
Size: 505264
MD5sum: e52ffde2a76bb563cdccc83ac0c9f778
SHA1: 687a07824df41511cb31e9fe8a650591feac0e52
SHA256: 9e39ed9ef4ac71ada5521a67b3d6139379990de1f1f5af4f5c2e117d794a6fd4
SHA512: c3dfddc83470152f670b7bf452cc03b3b45d019a4b45890c480457d06ac14d644c9b513be9215d7b97bd49437ac8b9d47f728d7cc837c750f878b92c3ff24fd9
Homepage: https://cran.r-project.org/package=knobi
Description: CRAN Package 'knobi' (Known-Biomass Production Model (KBPM))
 Application of a Known Biomass Production Model (KBPM): (1) the fitting of
 KBPM to each stock; (2) the estimation of the effects of environmental
 variability; (3) the retrospective analysis to identify regime shifts; (4)
 the estimation of forecasts. For more details see Schaefer (1954)
 <https://www.iattc.org/GetAttachment/62d510ee-13d0-40f2-847b-0fde415476b8/Vol-1-No-2-1954-SCHAEFER,-MILNER-B-_Some-aspects-of-the-dynamics-of-populations-important-to-the-management-of-the-commercial-marine-fisheries.pdf>,
 Pella and Tomlinson (1969)
 <https://www.iattc.org/GetAttachment/9865079c-6ee7-40e2-9e30-c4523ff81ddf/Vol-13-No-3-1969-PELLA,-JEROME-J-,-and-PATRICK-K-TOMLINSON_A-generalized-stock-production-model.pdf>
 and MacCall (2002)
 <doi:10.1577/1548-8675(2002)022%3C0272:UOKBPM%3E2.0.CO;2>.

Package: r-cran-knockoff
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdsdp, r-cran-matrix, r-cran-corpcor, r-cran-glmnet, r-cran-rspectra, r-cran-gtools
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-lars, r-cran-ranger, r-cran-stabs, r-cran-rptests, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-knockoff_0.3.6-1.ca2004.1_all.deb
Size: 174144
MD5sum: 64924d80dd0d27affe4fd4c806147abe
SHA1: 145d7e57a125aaf874b9933107f67e3fb5af2a25
SHA256: fe15a0c5b3d0fff011df558721ed9e4a7b22aa36bce0dbe2a70c916b3388e3a5
SHA512: 2c987ceeb9d1b0fdcc763d4026bf93255c0437442241672589e9ded665fa807fc1a9d5b97520877f3a7507f2ef7057ad5991af64f554e527a34c4f44a49dc36c
Homepage: https://cran.r-project.org/package=knockoff
Description: CRAN Package 'knockoff' (The Knockoff Filter for Controlled Variable Selection)
 The knockoff filter is a general procedure for controlling the false
 discovery rate (FDR) when performing variable selection.  For more
 information, see the website below and the accompanying paper: Candes et
 al., "Panning for gold: model-X knockoffs for high-dimensional controlled
 variable selection", J. R. Statist. Soc. B (2018) 80, 3, pp. 551-577.

Package: r-cran-knockoffhybrid
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-spatest
Filename: pool/dists/focal/main/r-cran-knockoffhybrid_1.0.1-1.ca2004.1_all.deb
Size: 63212
MD5sum: 34a5f4b666c395170782e4a8492dcc32
SHA1: 24b657deb0a07e8002da5fbe467c0c29ca72f469
SHA256: 6c5ab157a308110749df8f45c58ad0d667ffd99781324c23447e8863e6dbb599
SHA512: 4e8342196f0b53c76716fa09431efe999de18221161f1e09f4caa9acb770bf2131b265ef245baecccfb5c712e9b1d2649ef294ae947e4911122722f361750b23
Homepage: https://cran.r-project.org/package=KnockoffHybrid
Description: CRAN Package 'KnockoffHybrid' (Hybrid Analysis of Population and Trio Data with KnockoffStatistics for FDR Control)
 Identification of putative causal variants in genome-wide association
 studies using hybrid analysis of both the trio and population designs. The
 package implements the method in the paper: Yang, Y., Wang, Q., Wang, C.,
 Buxbaum, J., & Ionita-Laza, I. (2024). KnockoffHybrid: A knockoff framework
 for hybrid analysis of trio and population designs in genome-wide
 association studies. The American Journal of Human Genetics, in press.

Package: r-cran-knockoffscreen
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-seqminer, r-cran-bigmemory, r-cran-compquadform, r-cran-data.table, r-cran-spatest, r-cran-irlba
Filename: pool/dists/focal/main/r-cran-knockoffscreen_0.3.0-1.ca2004.1_all.deb
Size: 84644
MD5sum: b7887e2bcd6c5f921bf76b0d38188d17
SHA1: aee74c66d1e7ab358db98b132434431f172a3178
SHA256: 2107783333d00d5767b49bf08462311716edebcec95ea4dd286ed58e62af250a
SHA512: e6f162a3a6929d3ff350c3caa5895b07410a2c4b4686404eea18dce8abd47582eba512ee1e40d9f441424dc7d5ce25c183fc54dea382100d7485b640b6170d71
Homepage: https://cran.r-project.org/package=KnockoffScreen
Description: CRAN Package 'KnockoffScreen' (Whole-Genome Sequencing Data Analysis via Knockoff Statistics)
 Functions for identification of putative causal loci in whole-genome
 sequencing data. The functions allow genome-wide association scan. It also
 includes an efficient knockoff generator for genetic data.

Package: r-cran-knockofftrio
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-knockofftrio_1.1.0-1.ca2004.1_all.deb
Size: 76308
MD5sum: 9c9aa6b6eba865925eeb6d96dd7b9cc2
SHA1: 9c4150a18e95ba93c628f1a4521494c4d27f0407
SHA256: 4697c0155304f34d1b32153b0ff54d7eaea19095dae07bb6c4fcc0a2d6b80aa2
SHA512: e289ccdee76fa676e0f5e0a8db34c30b628d8201c534fd1fb49cf52d905443c91703d2f35f889fbe44dac177f3a5ed22f138de3945d4a94e3e523eca9dc8922c
Homepage: https://cran.r-project.org/package=KnockoffTrio
Description: CRAN Package 'KnockoffTrio' (GWAS with Trio and Duo Data using Knockoff Statistics for FDRControl)
 Identification of putative causal variants in genome-wide association
 studies with trio and duo families. The package calculates the W feature
 statistics from KnockoffTrio and p-values from the family-based association
 test (FBAT) using trio and/or duo data. Compared to previous versions, a
 significant improvement has been made in Version 1.1.0 to allow the package
 to be applied not only to trio families but also to duo families. The
 package implements the methods in the paper: "Yang, Y., Wang, C., Liu, L.,
 Buxbaum, J., He, Z., & Ionita-Laza, I. (2022). KnockoffTrio: A knockoff
 framework for the identification of putative causal variants in genome-wide
 association studies with trio design. The American Journal of Human
 Genetics, 109(10), 1761-1776."

Package: r-cran-knotr
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2747
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-knotr_1.0-4-1.ca2004.1_all.deb
Size: 1731428
MD5sum: fcabb346b36926c8a836d3deded6af2e
SHA1: a92c2f944558bd92c161a302589827dc19a1808f
SHA256: e398c3ef88e8b94022e290a933cb1ef117da094a55f5c28eed84e07f1e2ee157
SHA512: a54de39a883f533ac3bbeea5ad07f1fc5970d049e267bceb4ce7050655412fd2209207ba97664ece63187420d3947a4c156b8beda8856e24f18348308f3f5834
Homepage: https://cran.r-project.org/package=knotR
Description: CRAN Package 'knotR' (Knot Diagrams using Bezier Curves)
 Makes visually pleasing diagrams of knot projections using optimized Bezier
 curves.

Package: r-cran-knowbr
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4367
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fossil, r-cran-mgcv, r-cran-plotrix, r-cran-sp, r-cran-vegan
Suggests: r-cran-raster, r-cran-rgbif, r-cran-usdm, r-cran-car, r-cran-idpmisc, r-cran-psych, r-cran-candisc
Filename: pool/dists/focal/main/r-cran-knowbr_2.2-1.ca2004.1_all.deb
Size: 3589840
MD5sum: b4916b513fac317b2024838cbd1395a4
SHA1: 1a709bcda7d5e62524796190dce84646ea30531b
SHA256: e11898bdf71421bcaa22098505ee98bc0aecbe2351581dcda47cc8dd186e8007
SHA512: e331565fd41e8a27eaafdea66c8ac8825857756fd7a72a8ef186aab9b289316712feb4fde87f96c6e8b9071c16020cd05572c69a14217f554bb616e1f19433a0
Homepage: https://cran.r-project.org/package=KnowBR
Description: CRAN Package 'KnowBR' (Discriminating Well Surveyed Spatial Units from ExhaustiveBiodiversity Databases)
 It uses species accumulation curves and diverse estimators to assess, at the
 same time, the levels of survey coverage in multiple geographic cells of a
 size defined by the user or polygons. It also enables the geographical
 depiction of observed species richness, survey effort and completeness
 values including a background with administrative areas.

Package: r-cran-kntnr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-base64enc, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kntnr_0.4.4-1.ca2004.1_all.deb
Size: 49020
MD5sum: a635b1d312481b8da4d8016d54d78f0d
SHA1: dbd50129f53cb3ef824b2c499e54249ff06c1655
SHA256: aa3b5116f32ec17ddd59b4434b1c6a62de1b0f49bdedbc432887a70a16ee13ac
SHA512: e8435d1252054217d436174d5c1400a1284b78d4eec08cd6ca65a0a2ee93c52839c0264d56606f2095ca7c9a1175718dd2ea32e07915bf4b5fd908a845b9fb44
Homepage: https://cran.r-project.org/package=kntnr
Description: CRAN Package 'kntnr' (R Client for 'kintone' API)
 Retrieve data from 'kintone' (<https://www.kintone.com/>) via its API.
 'kintone' is an enterprise application platform.

Package: r-cran-koboconnectr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-curl, r-cran-jsonlite, r-cran-mime, r-cran-openssl, r-cran-r6, r-cran-dplyr, r-cran-readxl, r-cran-rlang, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-koboconnectr_2.0.0-1.ca2004.1_all.deb
Size: 78852
MD5sum: c51f973532317c846feca6906ad28fc8
SHA1: 0db597c9220218624fc06b9d995a64ee79a14b15
SHA256: dd5cbcc2c7fa9cd56dadd5592cb85339cca5a78564994534db81a884c7be16de
SHA512: 7c9e8167c2b37a55a3d23351a7f39172c305f03dbae45b9017ca0ddfa213da32d20135a21195c2d154968733a9f51eccf4d7ed3b91da71a1bfc62717b56f79ec
Homepage: https://cran.r-project.org/package=KoboconnectR
Description: CRAN Package 'KoboconnectR' (Download Data from Kobotoolbox to R)
 Wrapper for 'Kobotoolbox' APIs ver 2 mentioned at
 <https://support.kobotoolbox.org/api.html>, to download data from
 'Kobotoolbox' to R. Small and simple package that adds immense convenience
 for the data professionals using 'Kobotoolbox'.

Package: r-cran-kobt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-knockoff, r-cran-spcov, r-cran-xgboost, r-cran-rdpack, r-cran-mass
Filename: pool/dists/focal/main/r-cran-kobt_0.1.0-1.ca2004.1_all.deb
Size: 31564
MD5sum: d5bbcc11a42daa69099e2a037cf1394b
SHA1: bca13c2d9b08b88788a8d2c3dcabca39f1222a35
SHA256: b6535f210a60d7d2a86e8d90d5dfbb2e5eb098ccfd486d10a0ae1e0d2449da4c
SHA512: 36f75fb77fad24c045a82b8c2c567a9aadfd55a8a9dbe89975809a386735d9dca5c966bc7e93f71f1e4d526584a8568d1d3945d12221f53fd39e1aa85f84b108
Homepage: https://cran.r-project.org/package=KOBT
Description: CRAN Package 'KOBT' (Knockoff Boosted Tree)
 A novel strategy for conducting variable selection without prior model
 topology knowledge using the knockoff method (Barber and Candes (2015)
 <doi:10.1214/15-AOS1337>) with extreme boosted tree models (Chen and
 Guestrin (2016) <doi:10.1145/2939672.2939785>).  This method is inspired by
 the original knockoff method, where the differences between original and
 knockoff variables are used for variable selection with false discovery rate
 control. In addition to the original knockoff generating methods, two new
 sampling methods are available to be implemented, namely the sparse
 covariance and principal component knockoff methods. As results, the indices
 of selected variables are returned.

Package: r-cran-kofdata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-xts, r-cran-zoo
Suggests: r-cran-tstools, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kofdata_0.2.1-1.ca2004.1_all.deb
Size: 47260
MD5sum: dfed134fac5a710e00310d079ed771d4
SHA1: 03e55aa3608eec704589c82ba9a311222705d1dc
SHA256: b0b86966839de0992fb46968a53dab72f3202e769494ef405501305e32d9b843
SHA512: b50bd55b3c0724f07462b2a98e86495dd0fa4f4d4985b8b7c3f58523897e5a8479eccbf24a05293f91f232079cffc46030775edae293052e82424e51adf095b7
Homepage: https://cran.r-project.org/package=kofdata
Description: CRAN Package 'kofdata' (Get Data from the 'KOF Datenservice' API)
 Read Swiss time series data from the 'KOF Data' API,
 <https://datenservice.kof.ethz.ch>. The API provides macro economic time
 series data mostly about Switzerland. The package itself is a set of
 wrappers around the 'KOF Datenservice' API. The 'kofdata' package is able to
 consume public information as well as data that requires an API token.

Package: r-cran-kofm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tensormiss, r-cran-mefm, r-cran-rspectra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kofm_0.1.1-1.ca2004.1_all.deb
Size: 52048
MD5sum: 0907b4c513cf3c2f45b545c683247085
SHA1: 3bc5718c46ddd172e788a4a20038712b2f41c05f
SHA256: 09a7c9cafeac852e718755f0efe966e84f927c4edb96af6aca94ceefe62cd948
SHA512: 533f4d7998469b5d5b64bb54b0839fb5f0e26365c0660528caafb8a1419f58e5ddd649eabdd31b2449d8604d6a6f856c031d4a7e9e4f5c069a11d4c05e0e4cf5
Homepage: https://cran.r-project.org/package=KOFM
Description: CRAN Package 'KOFM' (Test the Kronecker Product Structure in Tensor Factor Models)
 To test if a tensor time series following a Tucker-decomposition factor
 model has a Kronecker product structure. Supplementary functions for tensor
 reshape and its reversal are also included.

Package: r-cran-kofnga
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigmemory
Filename: pool/dists/focal/main/r-cran-kofnga_1.3-1.ca2004.1_all.deb
Size: 44540
MD5sum: 3f1e3cf5bffaadb4ba65c526a3d04946
SHA1: 86b551f193216ab0d5c12682f368de86948d2e27
SHA256: 8454140172a47a2ecb268f92d7f05e3719efcb1f75b6225acd10041ccdddcb44
SHA512: 42a93776b42e19cf273d4b829340ccf3f5e0a89e82e170c2935c59ae5ae6e1e7c1cd5aea74b9796f0a0f7d06944e9d61d6d8c986f4a3838b3ac5eaeadef8d8cf
Homepage: https://cran.r-project.org/package=kofnGA
Description: CRAN Package 'kofnGA' (A Genetic Algorithm for Fixed-Size Subset Selection)
 Provides a function that uses a genetic algorithm to search for a subset of
 size k from the integers 1:n, such that a user-supplied objective function
 is minimized at that subset.  The selection step is done by tournament
 selection based on ranks, and elitism may be used to retain a portion of the
 best solutions from one generation to the next. Population objective
 function values may optionally be evaluated in parallel.

Package: r-cran-kogmwu
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pheatmap
Filename: pool/dists/focal/main/r-cran-kogmwu_1.2-1.ca2004.1_all.deb
Size: 864416
MD5sum: 56004d317b5cbd2563bbcb2b7ec26bde
SHA1: a44785f46a394c15b4a98dbdc48c1b2f488c2e03
SHA256: 6f4e243efac869e05f440f93cc347ae5b71a810658ffb24a18d90a5122d0a842
SHA512: d4c0b08a69219653df937703419b8a81ae9912175774437cd3817574f758e1eb41c52bc2ad5e6ed739255284819e121a46a272deae5f823b3ac8bd857929d5fd
Homepage: https://cran.r-project.org/package=KOGMWU
Description: CRAN Package 'KOGMWU' (Functional Summary and Meta-Analysis of Gene Expression Data)
 Rank-based tests for enrichment of KOG (euKaryotic Orthologous Groups)
 classes with up- or down-regulated genes based on a continuous measure. The
 meta-analysis is based on correlation of KOG delta-ranks across datasets
 (delta-rank is the difference between mean rank of genes belonging to a KOG
 class and mean rank of all other genes). With binary measure (1 or 0 to
 indicate significant and non-significant genes), one-tailed Fisher's exact
 test for over-representation of each KOG class among significant genes will
 be performed.

Package: r-cran-kokudosuuchi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kokudosuuchi_1.0.0-1.ca2004.1_all.deb
Size: 386644
MD5sum: 228e3941f2d717dc78451dabca163b3e
SHA1: fb328148a51d8f76bbb2897e84f5d6be18f64ca0
SHA256: 96ed214ed6fb29527b4eb4cc473d40f92517823b4e61180cdd75d70ca526b3a8
SHA512: 5af3e71d35a48bd11adbd8fc945e979fe425cdcd357f797c15c37ec07f67f091b4c45f8c4bcd8ab071e8330b1dae6696daa673e6773d13ee9ab27c4e7a30068f
Homepage: https://cran.r-project.org/package=kokudosuuchi
Description: CRAN Package 'kokudosuuchi' (Utilities for 'Kokudo Suuchi')
 Provides utilities for 'Kokudo Suuchi', the GIS data service of the Japanese
 government.  See <https://nlftp.mlit.go.jp/index.html> for more information.

Package: r-cran-kolaide
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kolaide_0.0.1-1.ca2004.1_all.deb
Size: 97368
MD5sum: 846431b899a737158d9b2d43652bc5fe
SHA1: d7dfd7c7d7b2013885fb8add41a0ebd157aa521c
SHA256: 0d179844ef6ab4b38119efd7f51b68284660f8bf4ce8a731dbe3dd8c86977243
SHA512: 3d264b989e55ba9020c5eea1846e301f89bd2fc4c521429a2011a9187512df3cd200049020e5624d84042ad145d6ab8a3616e5cda91b77a2410a719aae377a66
Homepage: https://cran.r-project.org/package=KOLaide
Description: CRAN Package 'KOLaide' (Pick and Plot Key Opinion Leaders from a Network GivenConstraints)
 Assists researchers in choosing Key Opinion Leaders (KOLs) in a network to
 help disseminate or encourage adoption of an innovation by other network
 members. Potential KOL teams are evaluated using the ABCDE framework (Neal
 et al., 2025 <doi:10.31219/osf.io/3vxy9_v1>). This framework which
 considers: (1) the team members' Availability, (2) the Breadth of the team's
 network coverage, (3) the Cost of recruiting a team of a given size, and (4)
 the Diversity of the team's members, (5) which are pooled into a single
 Evaluation score.

Package: r-cran-kollar
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 924
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-zoo, r-cran-ggforce, r-cran-tidyr, r-cran-ggpubr, r-cran-jpeg, r-cran-patchwork, r-cran-shiny, r-cran-plotly, r-cran-base64enc, r-cran-magick, r-cran-scales
Filename: pool/dists/focal/main/r-cran-kollar_1.1.1-1.ca2004.1_all.deb
Size: 835036
MD5sum: 51b6f663c6c8eb45858c9371796f1277
SHA1: 457f15955012d96a37a326daec38368b52b6c0e9
SHA256: 98ef6e34b4a54f9f304e92803a6d364b41fe3a68a6d33312358815e275646ddb
SHA512: 851717493ee7130e1d7d2156b4ccbef66cbc01c4bc26abdd4ee4708a0f1a22673b97988504508e7247653b97797cc1faa4fc3e2f1dfbd69952168ecc7335368f
Homepage: https://cran.r-project.org/package=kollaR
Description: CRAN Package 'kollaR' (Event Classification, Visualization and Analysis of Eye TrackingData)
 Functions for analysing eye tracking data, including event detection,
 visualizations and area of interest (AOI) based analyses.  The package
 includes implementations of the IV-T, I-DT, adaptive velocity threshold, and
 Identification by two means clustering (I2MC) algorithms.  See separate
 documentation for each function. The principles underlying I-VT and I-DT
 algorithms are described in Salvucci & Goldberg
 (2000,\doi{10.1145/355017.355028}).  Two-means clustering is described in
 Hessels et al. (2017, \doi{10.3758/s13428-016-0822-1}).  The adaptive
 velocity threshold algorithm is described in Nyström & Holmqvist
 (2010,\doi{10.3758/BRM.42.1.188}).  See a demonstration in the URL.

Package: r-cran-komaletter
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1517
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-komaletter_0.5.0-1.ca2004.1_all.deb
Size: 1208988
MD5sum: 780f5db8fe298934f1d15887c2817cd1
SHA1: 2ffeaf5cf7b03d2488a3a0d9c4debd47ed2fafeb
SHA256: df346f5ac8eae0884591acef2f1dc6a4ef31ee9a67ba424ca563fc442fa3f212
SHA512: dd441b0be41adf14e131bc7fcf1473e55241a151c66ead7869fe795d88db37ac0c8a984192bb4176cdb151edf6025e92c72593ef340d41fc62f32c72759c45ad
Homepage: https://cran.r-project.org/package=komaletter
Description: CRAN Package 'komaletter' (Simply Beautiful PDF Letters from Markdown)
 Write beautiful yet customizable letters in R Markdown and directly obtain
 the finished PDF. Smooth generation of PDFs is realized by 'rmarkdown', the
 'pandoc-letter' template and the 'KOMA-Script' letter class.  'KOMA-Script'
 provides enhanced replacements for the standard 'LaTeX' classes with
 emphasis on typography and versatility. 'KOMA-Script' is particularly useful
 for international writers as it handles various paper formats well, provides
 layouts for many common window envelope types (e.g. German, US, French,
 Japanese) and lets you define your own layouts. The package comes with a
 default letter layout based on 'DIN 5008B'.

Package: r-cran-konfound
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-broom.mixed, r-cran-crayon, r-cran-dplyr, r-cran-ggplot2, r-cran-lavaan, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-lme4, r-cran-tibble, r-cran-ggrepel, r-cran-pbkrtest, r-cran-ppcor
Suggests: r-cran-covr, r-cran-devtools, r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-mice, r-cran-roxygen2, r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-konfound_1.0.3-1.ca2004.1_all.deb
Size: 290328
MD5sum: e0f76bd22d6a80f73d06df0fbb571f9f
SHA1: 68a67a5e0e1a683cfbd6925e6005a7b214e10d84
SHA256: c4aaa8ea900fd9064d639990098fffd33840d139c458d5277a605f055139fb74
SHA512: dbeff42371c188a3aa1ae2137f22ef62ed7da27d4a1dc5be8efd19a9757b8edc9405a67a8e5809f0b678e199046fa5a081638bc46beadf6f9027308fdd30d2e5
Homepage: https://cran.r-project.org/package=konfound
Description: CRAN Package 'konfound' (Quantify the Robustness of Causal Inferences)
 Statistical methods that quantify the conditions necessary to alter
 inferences, also known as sensitivity analysis, are becoming increasingly
 important to a variety of quantitative sciences. A series of recent works,
 including Frank (2000) <doi:10.1177/0049124100029002001> and Frank et al.
 (2013) <doi:10.3102/0162373713493129> extend previous sensitivity analyses
 by considering the characteristics of omitted variables or unobserved cases
 that would change an inference if such variables or cases were observed.
 These analyses generate statements such as "an omitted variable would have
 to be correlated at xx with the predictor of interest (e.g., the treatment)
 and outcome to invalidate an inference of a treatment effect". Or "one would
 have to replace pp percent of the observed data with nor which the treatment
 had no effect to invalidate the inference".  We implement these recent
 developments of sensitivity analysis and provide modules to calculate these
 two robustness indices and generate such statements in R. In particular, the
 functions konfound(), pkonfound() and mkonfound() allow users to calculate
 the robustness of inferences for a user's own model, a single published
 study and multiple studies respectively.

Package: r-cran-konya
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rvest, r-cran-stringr, r-cran-jsonlite, r-cran-readr, r-cran-openxlsx
Suggests: r-cran-testthat, r-cran-devtools, r-cran-roxygen2, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-konya_0.1.0-1.ca2004.1_all.deb
Size: 17808
MD5sum: b5432bf0f12619118ba892fa3beee572
SHA1: cc6862067c3935edfa026800fc1a89201da04533
SHA256: 48cda67f6add402d84ae86f829ed1d09e2a8219b8c673382523024cf1facc77d
SHA512: 8d8e26efd05ff1c0c7af6d19b1c56f94eaf15d47cf9fe8a97fce981c54b9104dca4977c20d1231e6a932ebd4bdc4fb43742ef04ce7ef264c31eeb253ed837cd0
Homepage: https://cran.r-project.org/package=konya
Description: CRAN Package 'konya' (R Wrapper for Konya Municipality Open Data Portal)
 Call the data wrappers for Konya Metropolitan Municipality's Open Data
 Portal <https://acikveri.konya.bel.tr/>. This will return all datasets
 stored in different formats.

Package: r-cran-kor.addrlink
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1374
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringdist, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-kor.addrlink_1.0.1-1.ca2004.1_all.deb
Size: 1355996
MD5sum: 00dd48d5ffad1c2a59e1c3b23983fe95
SHA1: 83de012276b986cf8fa4702cc3f3f6c612c0b166
SHA256: 6db460010b61dac64d0fb0865e2eab6e8201cd74270c6224cbc569aa6b6985f2
SHA512: f9248eb67dcf023e9d3a45b81b48360dc2983203937dfc8d918f7fa89c03256b82746fca7ca213ae5d7bd07f93f80da8d719714bbc0700778edefffd051be2d6
Homepage: https://cran.r-project.org/package=KOR.addrlink
Description: CRAN Package 'KOR.addrlink' (Matching Address Data to Reference Index)
 Matches a data set with semi-structured address data, e.g., street and house
 number as a concatenated string, wrongly spelled street names or
 non-existing house numbers to a reference index. The methods are
 specifically designed for German municipalities ('KOR'-community) and German
 address schemes.

Package: r-cran-korpus.lang.en
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-korpus, r-cran-sylly.en
Filename: pool/dists/focal/main/r-cran-korpus.lang.en_0.1-4-1.ca2004.1_all.deb
Size: 20688
MD5sum: 7690588a0da0acf02f3e68ad476612d5
SHA1: c9181a43a36f6d17854b61541514d70cfff60e1a
SHA256: 71a5ce70d033c1616785a5d33f9d93b0414325927ae46643a619c62c31b0a8fe
SHA512: 97f5ddf119bf49f9639743b37075d1d7d7e0e59fc309bdaf00980db331cceee2112e68575a85499450481142ee78164ec095bb90400b358cbe52151f7f8e376d
Homepage: https://cran.r-project.org/package=koRpus.lang.en
Description: CRAN Package 'koRpus.lang.en' (Language Support for 'koRpus' Package: English)
 Adds support for the English language to the 'koRpus' package. To ask for
 help, report bugs, suggest feature improvements, or discuss the global
 development of the package, please consider subscribing to the koRpus-dev
 mailing list (<https://korpusml.reaktanz.de>).

Package: r-cran-korpus
Architecture: all
Version: 0.13-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2040
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sylly, r-cran-data.table, r-cran-matrix
Suggests: r-cran-testthat, r-cran-tm, r-cran-snowballc, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-korpus.lang.en
Filename: pool/dists/focal/main/r-cran-korpus_0.13-8-1.ca2004.1_all.deb
Size: 1266000
MD5sum: e4d557e7fcfb350a55f6f2fa81c0ebfe
SHA1: b3968f31fbb2486c450b2580251150a34d065da4
SHA256: e4c56a9a689c35ce0e50ce787e2de056b0eca86348ec1e0ed53a56391536761c
SHA512: e0c86356e8f0940a0375180b7aa1f5d4a66c8a87daf794648474175ec3f8f0b0525288efc9d42069deb00d8d86ca120f6620cb1e7bad9e2225f90438807370ba
Homepage: https://cran.r-project.org/package=koRpus
Description: CRAN Package 'koRpus' (Text Analysis with Emphasis on POS Tagging, Readability, andLexical Diversity)
 A set of tools to analyze texts. Includes, amongst others, functions for
 automatic language detection, hyphenation, several indices of lexical
 diversity (e.g., type token ratio, HD-D/vocd-D, MTLD) and readability (e.g.,
 Flesch, SMOG, LIX, Dale-Chall). Basic import functions for language corpora
 are also provided, to enable frequency analyses (supports Celex and Leipzig
 Corpora Collection file formats) and measures like tf-idf. Note: For full
 functionality a local installation of TreeTagger is recommended. It is also
 recommended to not load this package directly, but by loading one of the
 available language support packages from the 'l10n' repository
 <https://undocumeantit.github.io/repos/l10n/>. 'koRpus' also includes a
 plugin for the R GUI and IDE RKWard, providing graphical dialogs for its
 basic features. The respective R package 'rkward' cannot be installed
 directly from a repository, as it is a part of RKWard. To make full use of
 this feature, please install RKWard from <https://rkward.kde.org> (plugins
 are detected automatically). Due to some restrictions on CRAN, the full
 package sources are only available from the project homepage. To ask for
 help, report bugs, request features, or discuss the development of the
 package, please subscribe to the koRpus-dev mailing list
 (<https://korpusml.reaktanz.de>).

Package: r-cran-kosel
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-ordinalnet
Filename: pool/dists/focal/main/r-cran-kosel_0.0.1-1.ca2004.1_all.deb
Size: 35464
MD5sum: ca2f3847fa7b46acb010a342d86aa558
SHA1: a33a6eb0ccb0a315893f388e84b2f2147a535272
SHA256: 59cdb222fe80fb28cf965b4c34844e541f151abb5db2c8800583f82dccd7b552
SHA512: f91644c5c511c83bb7667a8f0b26191dee6a6ef32516d57e424a94ea564cc79474b33a999324290ad04dbddaee53c91d456bde4fe383f3e950f411bc0c976382
Homepage: https://cran.r-project.org/package=kosel
Description: CRAN Package 'kosel' (Variable Selection by Revisited Knockoffs Procedures)
 Performs variable selection for many types of L1-regularised regressions
 using the revisited knockoffs procedure. This procedure uses a matrix of
 knockoffs of the covariates independent from the response variable Y. The
 idea is to determine if a covariate belongs to the model depending on
 whether it enters the model before or after its knockoff. The procedure
 suits for a wide range of regressions with various types of response
 variables. Regression models available are exported from the R packages
 'glmnet' and 'ordinalNet'. Based on the paper linked to via the URL below:
 Gegout A., Gueudin A., Karmann C. (2019) <arXiv:1907.03153>.

Package: r-cran-kosis
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-kosis_0.0.1-1.ca2004.1_all.deb
Size: 43712
MD5sum: 6db97c99d6bcca1e0ce4ae1bcf7f739e
SHA1: 3576d5ace6ce4ba922e57f827a0de148b975c8ad
SHA256: b524a14bc510794bc1ad253457c820d6ed16396ac938e2e086fa9df3254ac6af
SHA512: 3d9fdbc9f6748a499914b8fbac15d2b4b2f939cab0b41169fd046c3c514a1df0074331ffc6a1c9d203e8d941ac98447dc4c54d1a944fdb22c7e64a84c251bf1b
Homepage: https://cran.r-project.org/package=kosis
Description: CRAN Package 'kosis' (Korean Statistical Information Service (KOSIS))
 API wrapper to download statistical information from the Korean Statistical
 Information Service (KOSIS) <https://kosis.kr/openapi/index/index.jsp>.

Package: r-cran-kpart
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps
Filename: pool/dists/focal/main/r-cran-kpart_1.2.2-1.ca2004.1_all.deb
Size: 16596
MD5sum: 7bc7ef885ff4478fc05c80783d5a71ea
SHA1: 295a9b5161081d860020230c09b2ebe888dd9357
SHA256: 61cffa5892650af10df89bfecb262373fa6c4248d1e02fa70dd9ff268c1854c6
SHA512: 966d194bea9f33bb9d9fb541bd7b187251ae481ae962d056bbcb81ef4b779a5473f35958d3875ae0a312490984199e2c96848e3291d6763d279ee54da974721b
Homepage: https://cran.r-project.org/package=Kpart
Description: CRAN Package 'Kpart' (Cubic Spline Fitting with Knot Selection)
 Cubic spline fitting along with knot selection, includes support for
 additional variables.

Package: r-cran-kpc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-kernlab, r-cran-rann, r-cran-proxy, r-cran-mlpack
Filename: pool/dists/focal/main/r-cran-kpc_0.1.2-1.ca2004.1_all.deb
Size: 86640
MD5sum: c55f19b005afcd29c9134483a61b4884
SHA1: a451305e0e54f3f842c3143c615bc53dc1ba9e49
SHA256: 65ae2373b043221aab35558220274dc0c81d3416c55e2e508da675cfba38bd72
SHA512: 16839cc8381a6f29c163d631c220e6e7fb452c9516e970591968906d335b61312df6fbe207ba858ff5f19f82cafbd2f8603c98aebb69664d7d2fff556744bd43
Homepage: https://cran.r-project.org/package=KPC
Description: CRAN Package 'KPC' (Kernel Partial Correlation Coefficient)
 Implementations of two empirical versions the kernel partial correlation
 (KPC) coefficient and the associated variable selection algorithms. KPC is a
 measure of the strength of conditional association between Y and Z given X,
 with X, Y, Z being random variables taking values in general topological
 spaces. As the name suggests, KPC is defined in terms of kernels on
 reproducing kernel Hilbert spaces (RKHSs). The population KPC is a
 deterministic number between 0 and 1; it is 0 if and only if Y is
 conditionally independent of Z given X, and it is 1 if and only if Y is a
 measurable function of Z and X. One empirical KPC estimator is based on
 geometric graphs, such as K-nearest neighbor graphs and minimum spanning
 trees, and is consistent under very weak conditions. The other empirical
 estimator, defined using conditional mean embeddings (CMEs) as used in the
 RKHS literature, is also consistent under suitable conditions. Using KPC, a
 stepwise forward variable selection algorithm KFOCI (using the graph based
 estimator of KPC) is provided, as well as a similar stepwise forward
 selection algorithm based on the RKHS based estimator. For more details on
 KPC, its empirical estimators and its application on variable selection, see
 Huang, Z., N. Deb, and B. Sen (2022). “Kernel partial correlation
 coefficient – a measure of conditional dependence” (URL listed below). When
 X is empty, KPC measures the unconditional dependence between Y and Z, which
 has been described in Deb, N., P. Ghosal, and B. Sen (2020), “Measuring
 association on topological spaces using kernels and geometric graphs”
 <arXiv:2010.01768>, and it is implemented in the functions KMAc() and Klin()
 in this package. The latter can be computed in near linear time.

Package: r-cran-kpcaig
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-kernlab, r-cran-ggplot2, r-cran-progress, r-cran-viridis, r-cran-wallomicsdata
Filename: pool/dists/focal/main/r-cran-kpcaig_1.0.1-1.ca2004.1_all.deb
Size: 44744
MD5sum: 5f37cf7abda4755575d7bfc0efb22d76
SHA1: fc84d740dd9ba01abeb41a604ffd324f392be641
SHA256: 1f84644e9e579652c82b8e169ad8f29b2d05f5269c46d96b70f1408db1e93994
SHA512: cbbb79c300d968b61400b55596b7c091e82f152049f32ff737ca657df6f71a7defe2a12d1e34c42f2003e3f781074c717725d4cb2ab0acb567741e592c0d8830
Homepage: https://cran.r-project.org/package=kpcaIG
Description: CRAN Package 'kpcaIG' (Variables Interpretability with Kernel PCA)
 The kernelized version of principal component analysis (KPCA) has proven to
 be a valid nonlinear alternative for tackling the nonlinearity of biological
 sample spaces. However, it poses new challenges in terms of the
 interpretability of the original variables. 'kpcaIG' aims to provide a tool
 to select the most relevant variables based on the kernel PCA representation
 of the data as in Briscik et al. (2023) <doi:10.1186/s12859-023-05404-y>. It
 also includes functions for 2D and 3D visualization of the original
 variables (as arrows) into the kernel principal components axes,
 highlighting the contribution of the most important ones.

Package: r-cran-kpcalg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pcalg, r-cran-energy, r-cran-kernlab, r-cran-mgcv, r-cran-rspectra, r-bioc-graph
Suggests: r-bioc-rgraphviz, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-kpcalg_1.0.1-1.ca2004.1_all.deb
Size: 237984
MD5sum: 787f35146ca278acb2f7e3e7ff69ce70
SHA1: 1225f30d938363569f851b873e47cabcf3572457
SHA256: 4057a055c0ac28e4ac0e0781cdace967aee85da09345813a43957e73b9085d4e
SHA512: 48cef6bd564f41bf1ac0d8e40d64ae35e4007ff7db94ee825061a86f811c1633c180628bb2ca05e044186dcc9fe42e73bded7a29f3026af9730a2c9d393c4eda
Homepage: https://cran.r-project.org/package=kpcalg
Description: CRAN Package 'kpcalg' (Kernel PC Algorithm for Causal Structure Detection)
 Kernel PC (kPC) algorithm for causal structure learning and causal inference
 using graphical models. kPC is a version of PC algorithm that uses kernel
 based independence criteria in order to be able to deal with non-linear
 relationships and non-Gaussian noise.

Package: r-cran-kpeaks
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kpeaks_1.1.0-1.ca2004.1_all.deb
Size: 76264
MD5sum: ed49992d9a60d5b7dc445abd5cab6cf4
SHA1: 0b92c809f0ab1d3e8ab857013dc27fc8d842e55a
SHA256: a9e34471709a9305cf93686c96299106ad87c96c8f5879b8812acd301dc9de4f
SHA512: 8a26c8c37f44f5f9b9f72a7f5b92ad80cf80e38bb82c49dda04f274a4468d1dd72472844b808e47f99c03c83163513356fb7236b31954ba76e132d98776b492e
Homepage: https://cran.r-project.org/package=kpeaks
Description: CRAN Package 'kpeaks' (Determination of K Using Peak Counts of Features for Clustering)
 The number of clusters (k) is needed to start all the partitioning
 clustering algorithms. An optimal value of this input argument is widely
 determined by using some internal validity indices. Since most of the
 existing internal indices suggest a k value which is computed from the
 clustering results after several runs of a clustering algorithm they are
 computationally expensive. On the contrary, the package 'kpeaks' enables to
 estimate k before running any clustering algorithm. It is based on a simple
 novel technique using the descriptive statistics of peak counts of the
 features in a data set.

Package: r-cran-kpiwidget
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crosstalk, r-cran-htmlwidgets
Suggests: r-cran-dplyr, r-cran-dt, r-cran-flexdashboard, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kpiwidget_0.1.1-1.ca2004.1_all.deb
Size: 127244
MD5sum: 611971ad893e8680390286bd9b363bc9
SHA1: 73d42596317b5edefec00e271f00f7c484ac656a
SHA256: 3d031159599d2214cbf9a79163dfbe8f23f89999b93132c7f77ebb9a53fd340b
SHA512: 93800a977620abc89a02d9dbe6c31b369cad4bcdf734ca4016bec64c5f9571fcd4fbbb45654a8608a5ee85b25db40a31f577d0881722dea788e9cb78c81f1ded
Homepage: https://cran.r-project.org/package=kpiwidget
Description: CRAN Package 'kpiwidget' (KPI Widgets for Quarto Dashboards with Crosstalk)
 Provides an easy way to create interactive KPI (key performance indicator)
 widgets for 'Quarto' dashboards using 'Crosstalk'. The package enables
 visualization of key metrics in a structured format, supporting interactive
 filtering and linking with other 'Crosstalk'-enabled components. Designed
 for use in 'Quarto' Dashboards.

Package: r-cran-kpmt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-kpmt_0.1.0-1.ca2004.1_all.deb
Size: 1184204
MD5sum: 4f8536ac2582ceeada32408903f8bb77
SHA1: 5b78fcc3a03eade34336e6a98526e2174196e929
SHA256: 649093d62f4cf2340e5c9c02733e37acc53a7f1d805f2528a081f6f182bb7eaf
SHA512: 7f56068c3cd31629a5017a27ea2995d98943c0477a417df2a63f8f17d27e4cfe22898c4a6faed4e1c80e873b1ad9b3a304e27d6efab039e87de9c406d2d7ed01
Homepage: https://cran.r-project.org/package=kpmt
Description: CRAN Package 'kpmt' (Known Population Median Test)
 Functions that implement the known population median test.

Package: r-cran-kpodclustr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kpodclustr_1.1-1.ca2004.1_all.deb
Size: 25536
MD5sum: d32925f137330a2673c7595212eff191
SHA1: c2608b904bff8d80a0636e1e25c6d57783e1a280
SHA256: a867565543356e39194a3a037adacb084a9d623a36e10af425593560baeb7356
SHA512: bd54000b9d7d45d647f3179186269f1737e719c951e5ff44f5e9e512060080a77195c5a00ee90577888a043d57ba182832ef56fb04ea19ef83871766d2abc157
Homepage: https://cran.r-project.org/package=kpodclustr
Description: CRAN Package 'kpodclustr' (Method for Clustering Partially Observed Data)
 Software for k-means clustering of partially observed data from Chi, Chi,
 and Baraniuk (2016) <doi:10.1080/00031305.2015.1086685>.

Package: r-cran-krakenr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr, r-cran-anytime, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-krakenr_1.0.0-1.ca2004.1_all.deb
Size: 65100
MD5sum: a57090b29a3af25f038ab104331c0c18
SHA1: 81649c8a8a14a67abcdcbe65600b5842152b7b05
SHA256: b8af8ea5857b429f82033bd8838234f96d9cc291f74a772df760a50a1496bb91
SHA512: e8c256a3f8f25e1a40166785f7a5a2e7a6e05ae57baa1dc1c973426c71269c480e3e279fcf238eb57aa3c0c5f72d859e05e71401302db86fc917979f694f3390
Homepage: https://cran.r-project.org/package=KrakenR
Description: CRAN Package 'KrakenR' (Comprehensive R Interface for Accessing Kraken CryptocurrencyExchange REST API)
 A comprehensive R interface to access data from the Kraken cryptocurrency
 exchange REST API <https://docs.kraken.com/api/>.  It allows users to
 retrieve various market data, such as asset information, trading pairs, and
 price data.  The package is designed to facilitate efficient data access for
 analysis, strategy development, and monitoring of cryptocurrency market
 trends.

Package: r-cran-kraljicmatrix
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kraljicmatrix_0.2.1-1.ca2004.1_all.deb
Size: 162980
MD5sum: 820e2090986b2945c26c080799acaa5e
SHA1: ba12641e0159133a8cbc4ef805ca3076ac4886e5
SHA256: 22f56d593d2e4cc3beff217371d680a512645327d412e03b8bc5ba33c881c0cf
SHA512: aa8c6d815560b9f17f4797f4016b10bc17f98e46e04b826958670268fbc8ad26ac117909c3d114c27b5584c80c726155aca5b7ccbc8f9c132ad8fd86b423872c
Homepage: https://cran.r-project.org/package=KraljicMatrix
Description: CRAN Package 'KraljicMatrix' (A Quantified Implementation of the Kraljic Matrix)
 Implements a quantified approach to the Kraljic Matrix (Kraljic, 1983,
 <https://hbr.org/1983/09/purchasing-must-become-supply-management>) for
 strategically analyzing a firm’s purchasing portfolio. It combines
 multi-objective decision analysis to measure purchasing characteristics and
 uses this information to place products and services within the Kraljic
 Matrix.

Package: r-cran-kriens
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kriens_0.1-1.ca2004.1_all.deb
Size: 21132
MD5sum: 9c763ffbb42e5f73de73ba909f8995ef
SHA1: 2b9cdd223cf4c6dc86af3fdc76118a02e03ae4c1
SHA256: 0889782602b58f1d622199f17a863b769ddefb81b942dcbb56479e6ba0c3351b
SHA512: 69352940b957556e1cb55b5ec156e9c572789d1afdce4c65552e26872fadd6c8f6592e1855b91375885012700fa2db6fff2ae2b7f13e62d43437482090a2bf6e
Homepage: https://cran.r-project.org/package=kriens
Description: CRAN Package 'kriens' (Continuation Passing Style Development)
 Provides basic functions for Continuation-Passing Style development.

Package: r-cran-kriginv
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dicekriging, r-cran-randtoolbox, r-cran-rgenoud, r-cran-pbivnorm, r-cran-anmc, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kriginv_1.4.2-1.ca2004.1_all.deb
Size: 328708
MD5sum: 53244c0d2fba3d8d1f1aa085811ce7ca
SHA1: 8a35f50038a076710300f1adc91f8817578c5b6a
SHA256: ba166b6d92ce783c03709552d289ef3690abf4b4ca6ba2121c193e2d5bcb5ff8
SHA512: cffcced02e6916d09651da0b8fcab94a0381fa88f55563994cbecb23cb90b6943f742be70f7f8b09425a29be4c0265b735c81f398205551331142e9cd67ab4f7
Homepage: https://cran.r-project.org/package=KrigInv
Description: CRAN Package 'KrigInv' (Kriging-Based Inversion for Deterministic and Noisy ComputerExperiments)
 Criteria and algorithms for sequentially estimating level sets of a
 multivariate numerical function, possibly observed with noise.

Package: r-cran-krippendorffsalpha
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-pbapply, r-cran-spam, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-krippendorffsalpha_2.0-1.ca2004.1_all.deb
Size: 406276
MD5sum: 3423fe1705d34282da2e0dc3031448fc
SHA1: b54960d824370ab4763768131650c34b9da5dd68
SHA256: 97908d8b8e54220be12412fb2a795234b51736f781097e69bb955f8ca787f3bd
SHA512: 87eb0d763a4bda4a9ce4a84a7db03ba4c7dc40ab452a87de5a29ee404508478ed9c92cbe27b2253987ae227eca273098b52e4f74c660ea155b0327ce30444fb9
Homepage: https://cran.r-project.org/package=krippendorffsalpha
Description: CRAN Package 'krippendorffsalpha' (Measuring Agreement Using Krippendorff's Alpha Coefficient)
 Provides tools for applying Krippendorff's Alpha methodology
 <DOI:10.1080/19312450709336664>. Both the customary methodology and Hughes'
 methodology <DOI:10.48550/arXiv.2210.13265> are supported, the former being
 preferred for larger datasets, the latter for smaller datasets. The
 framework supports common and user-defined distance functions, and can
 accommodate any number of units, any number of coders, and missingness.
 Interval estimation can be done in parallel for either methodology.

Package: r-cran-kris
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rarpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kris_1.1.6-1.ca2004.1_all.deb
Size: 196924
MD5sum: 4bc97f9de557626ea065d7893906ba64
SHA1: 735ae909a258bf3933c08185ee113d05b4bd74be
SHA256: 70267e38c8f20348d484315d87ed8afe402d526429bf150bd4c07d9076909ef0
SHA512: 087271dcadbb173024bddd646c7897dbe700f93f7b00ed1357fb5d6e2d09dc205b890fa33ed969065f8f09b6e5ac97dcbcbed1a387d5b63c7a551b1bb3e0056d
Homepage: https://cran.r-project.org/package=KRIS
Description: CRAN Package 'KRIS' (Keen and Reliable Interface Subroutines for BioinformaticAnalysis)
 Provides useful functions which are needed for bioinformatic analysis such
 as calculating linear principal components from numeric data and
 Single-nucleotide polymorphism (SNP) dataset, calculating fixation index
 (Fst) using Hudson method, creating scatter plots in 3 views, handling with
 PLINK binary file format, detecting rough structures and outliers using
 unsupervised clustering, and calculating matrix multiplication in the faster
 way for big data.

Package: r-cran-krls
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-krls_1.0-0-1.ca2004.1_all.deb
Size: 77964
MD5sum: f9d2b956a41c7b246001e46cb1e43545
SHA1: 9c9e60dd86a3ae55836f6dcbe0e92cc8ba7adfa7
SHA256: eb0c267d17b6d5eba72470a2a6c5942ab6a928c55c39eff42b8884769cd14c5b
SHA512: 07814be0ff8fbe61fe933040f90d760b8f2113d0431aab09b0a7a23b1664ffea753cc178662286003c762b136276d0a701e55025be3ad3e3492de5afada736fa
Homepage: https://cran.r-project.org/package=KRLS
Description: CRAN Package 'KRLS' (Kernel-Based Regularized Least Squares)
 Package implements Kernel-based Regularized Least Squares (KRLS), a machine
 learning method to fit multidimensional functions y=f(x) for regression and
 classification problems without relying on linearity or additivity
 assumptions. KRLS finds the best fitting function by minimizing the squared
 loss of a Tikhonov regularization problem, using Gaussian kernels as radial
 basis functions. For further details see Hainmueller and Hazlett (2014).

Package: r-cran-krmm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-kernlab, r-cran-cvtools, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-krmm_1.0-1.ca2004.1_all.deb
Size: 49008
MD5sum: 6469901f0d8c394f98288779b4f33c9a
SHA1: dda96f259114be1b93c5bad16416aff35463798c
SHA256: a8c4a685ce21187402694bfcbfec842c9caa19fbe0eb08fbd18cabb26fdd1959
SHA512: 04e853b1196ebd9d27ba15358165cf512706ac42080c8de6c34e7d0b00531ff06d7fa05577426eba5196ba9dd2259428996b1935abe7c0a1c92f617e0a952d33
Homepage: https://cran.r-project.org/package=KRMM
Description: CRAN Package 'KRMM' (Kernel Ridge Mixed Model)
 Solves kernel ridge regression, within the the mixed model framework, for
 the linear, polynomial, Gaussian, Laplacian and ANOVA kernels. The model
 components (i.e. fixed and random effects) and variance parameters are
 estimated using the expectation-maximization (EM) algorithm. All the
 estimated components and parameters, e.g. BLUP of dual variables and BLUP of
 random predictor effects for the linear kernel (also known as RR-BLUP), are
 available. The kernel ridge mixed model (KRMM) is described in Jacquin L,
 Cao T-V and Ahmadi N (2016) A Unified and Comprehensible View of Parametric
 and Kernel Methods for Genomic Prediction with Application to Rice. Front.
 Genet. 7:145. <doi:10.3389/fgene.2016.00145>.

Package: r-cran-kronos
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-kronos_1.0.0-1.ca2004.1_all.deb
Size: 283876
MD5sum: 2eda9e2f66e1c7b78c05e9c403e41855
SHA1: 55dd33175cacf5b67d8ad33187a7246a4c241951
SHA256: b9399233e1decad97d3f5051e7ad38b06ea85735afed7506b20fa2973ea828ef
SHA512: 402174b6bd17f5acc7a9e3ece8dc7303e34a276ea5e0fbb6c2a5597d96b5b57b9022e71f397019a2e0bada7e621d9db90b88f6cc517f26ad16f0adcf17c4f85e
Homepage: https://cran.r-project.org/package=kronos
Description: CRAN Package 'kronos' (Microbiome Oriented Circadian Rhythm Analysis Toolkit)
 The goal of 'kronos' is to provide an easy-to-use framework to analyse
 circadian or otherwise rhythmic data using the familiar R linear modelling
 syntax, while taking care of the trigonometry under the hood.

Package: r-cran-ksa
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ksa_0.1.0-1.ca2004.1_all.deb
Size: 14092
MD5sum: 3dcde69b591a47ffcaeb71f8d1c22cfb
SHA1: 632e4e0ae2d3fb46182f3488ff5764f46be494b0
SHA256: 63c32e83a778a7f75677c2f229b6c02bd2d9345ae465ca9ea252129b5d1acda8
SHA512: ce7b7582e282bb8b3b0565c393c1d7ee185fa87638898daa59b6e1bfc081e283217e5c13a2dda10a5bf3f2a06e128c664306e6086be19dea698e9c936b7b8b92
Homepage: https://cran.r-project.org/package=KSA
Description: CRAN Package 'KSA' (Retained Component Criterion for Principal Component Analysis)
 The Retained Component Criterion for Principal Component Analysis (RCC_PCA)
 is a tool to determine the optimal number of components to retain in PCA.

Package: r-cran-kscorrect
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-kscorrect_1.4.0-1.ca2004.1_all.deb
Size: 70200
MD5sum: 9df651efba3d9a2add515ed04d4ac634
SHA1: 8f5592e0b67c272e31dea78aa66037316794d028
SHA256: 65632b38a1f217f15e7b12d9d14ae4a3936d5674544c52ad1ce79e0651b948b0
SHA512: 257f267ac58e39565492670e2c06d2382a64497a69a078e044dc46c00fc5cd33c3c72cc7e02989c18164e3423b3ec9a7d6cbff858c8c7a763c36de66d2d26dde
Homepage: https://cran.r-project.org/package=KScorrect
Description: CRAN Package 'KScorrect' (Lilliefors-Corrected Kolmogorov-Smirnov Goodness-of-Fit Tests)
 Implements the Lilliefors-corrected Kolmogorov-Smirnov test for use in
 goodness-of-fit tests, suitable when population parameters are unknown and
 must be estimated by sample statistics. P-values are estimated by
 simulation.  Can be used with a variety of continuous distributions,
 including normal, lognormal, univariate mixtures of normals, uniform,
 loguniform, exponential, gamma, and Weibull distributions. Functions to
 generate random numbers and calculate density, distribution, and quantile
 functions are provided for use with the log uniform and mixture
 distributions.

Package: r-cran-ksd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pryr
Suggests: r-cran-ggplot2, r-cran-gridextra, r-cran-mclust, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ksd_1.0.1-1.ca2004.1_all.deb
Size: 222428
MD5sum: 116c9c664d7eba36e022f909d4219f87
SHA1: 9d0da5f691d11fbd4cc7d58598600122b2405588
SHA256: 451668529c99e2e72305728e10c3bebd979e908c38f4b68766716277488552a9
SHA512: ab8011f16f2cf542c012cb05d3208c8046d01e23bf9d9ab153444357e72f8c7a03fd1f2c454b3a1f863bdb6fdac68fea699e8cee56234f25131297a638f0def1
Homepage: https://cran.r-project.org/package=KSD
Description: CRAN Package 'KSD' (Goodness-of-Fit Tests using Kernelized Stein Discrepancy)
 An adaptation of Kernelized Stein Discrepancy, this package provides a
 goodness-of-fit test of whether a given i.i.d. sample is drawn from a given
 distribution. It works for any distribution once its score function (the
 derivative of log-density) can be provided. This method is based on "A
 Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation"
 by Liu, Lee, and Jordan, available at <arXiv:1602.03253>.

Package: r-cran-kseaapp
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 940
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kseaapp_0.99.0-1.ca2004.1_all.deb
Size: 868632
MD5sum: ab9bddc0e6a6d7b3c5875d356d5037ba
SHA1: 71e750ff257173c5a69ab17fd290be635106341b
SHA256: 71e76d4412e17e33c9603cf44e02b35c0a3ec58b2ef6abadd5c60474257d25b5
SHA512: 145c35c6b066b910ed99e131ff35a8bbad11ac6eb4e1b6fe1a17915da0ac81be732bc3d469d7fc591354dbac293895d4d971ce3a1df0a1f3fb58ac35365a1deb
Homepage: https://cran.r-project.org/package=KSEAapp
Description: CRAN Package 'KSEAapp' (Kinase-Substrate Enrichment Analysis)
 Infers relative kinase activity from phosphoproteomics data using the method
 described by Casado et al. (2013) <doi:10.1126/scisignal.2003573>.

Package: r-cran-kselection
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-amap, r-cran-factoclass, r-cran-foreach, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kselection_0.2.1-1.ca2004.1_all.deb
Size: 32604
MD5sum: 7dc5c42d93b440cb310680bf381d3ecc
SHA1: 2c130a9f857a2398862662b0fd787874ed355fc2
SHA256: edb2539201853f17da69473934a677c95ffc4d37684a672f951a6c42792333dd
SHA512: c2bc444497b995090bf16d55419143fd62ebd6e1cf33b3983b38a0012fb04b67344f81df1b86f3ccd6c8708876a2d3428355f306214438f3d1e13b9201e884f4
Homepage: https://cran.r-project.org/package=kselection
Description: CRAN Package 'kselection' (Selection of K in K-Means Clustering)
 Selection of k in k-means clustering based on Pham et al. paper ``Selection
 of k in k-means clustering''.

Package: r-cran-ksharp
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1042
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-cluster, r-cran-dbscan, r-cran-knitr, r-cran-rcssplot, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ksharp_0.1.0.1-1.ca2004.1_all.deb
Size: 464144
MD5sum: bd73ae782321d56bf3649a2a0f077c60
SHA1: fb1d31ad78a6dfb9b9930cf335327bdb64111c6a
SHA256: 71fb83f94e6dad70d43b22cd6f05519a93711d01ba12ea5ff140eb8f0138ce35
SHA512: 9bcf64d4a0ec29613928a8d82cefb5b406ed0ecf9a551d1e055326887a019e03a413d1ceec640ca8ed17317adba8f890eb42d09083a0a7c0f07c80d78d3f9660
Homepage: https://cran.r-project.org/package=ksharp
Description: CRAN Package 'ksharp' (Cluster Sharpening)
 Clustering typically assigns data points into discrete groups, but the
 clusters can sometimes be indistinct. Cluster sharpening adjusts an existing
 clustering to create contrast between groups. This package provides a
 general interface for cluster sharpening along with several implementations
 based on different excision criteria.

Package: r-cran-kspm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-expm, r-cran-compquadform, r-cran-deoptim
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kspm_0.2.1-1.ca2004.1_all.deb
Size: 266580
MD5sum: ea9cdad0591232f595ff3ae77b4e31f4
SHA1: c06a15a06e6efad49beecba375014b0c1ebb134f
SHA256: 6e38427b163f6c1ecfa90ef96682a01b8a5c0df39876509eacbccc56afe234d4
SHA512: 2936b7afd76b615215d518b4e1a762b0b961152b58a9d7eba48711d7076cf3407c1265f64f83cfc5ac105633ce4f3808bb08e34d3e3474e213b0a5ac0f95e17a
Homepage: https://cran.r-project.org/package=KSPM
Description: CRAN Package 'KSPM' (Kernel Semi-Parametric Models)
 To fit the kernel semi-parametric model and its extensions. It allows
 multiple kernels and unlimited interactions in the same model. Coefficients
 are estimated by maximizing a penalized log-likelihood; penalization terms
 and hyperparameters are estimated by minimizing leave-one-out error. It
 includes predictions with confidence/prediction intervals, statistical tests
 for the significance of each kernel, a procedure for variable selection and
 graphical tools for diagnostics and interpretation of covariate effects.
 Currently it is implemented for continuous dependent variables. The package
 is based on the paper of Liu et al. (2007),
 <doi:10.1111/j.1541-0420.2007.00799.x>.

Package: r-cran-ksrlive
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tightclust
Filename: pool/dists/focal/main/r-cran-ksrlive_1.0-1.ca2004.1_all.deb
Size: 1330036
MD5sum: bc59254548ffe7586b63b028fccc5449
SHA1: ad555e6a7b40fcbe0e2d0dad4dce96861a3b83a7
SHA256: a4c65719276f2e2c6802f96d1e52a1180f606c4299889934e2fa9cdea1b623cf
SHA512: f9628bd8925500ff8cf49f6960701c7604b52efa4f5cbf2c4fb5c794f1ddd2824fd31a71abee6af0c6e98a1489d2208175ace10f0dde546c3e711fa981435ed5
Homepage: https://cran.r-project.org/package=ksrlive
Description: CRAN Package 'ksrlive' (Identify Kinase Substrate Relationships Using Dynamic Data)
 Using this package you can combine known kinase substrate relationships with
 experimental data and determine active kinases and their substrates.

Package: r-cran-kssa
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-rlang, r-cran-forecast, r-cran-imputets, r-cran-zoo, r-cran-metrics, r-cran-dplyr, r-cran-missmethods
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-kssa_0.0.1-1.ca2004.1_all.deb
Size: 114660
MD5sum: 2566242cd929c3e111757d594b06551a
SHA1: 8543baf8f23ff26d99e8206dad3de79810d43dd4
SHA256: f17e3b30ff17324648b978ea624a0ad77ae498900e767732bf566d0298adc5ef
SHA512: bba5fca27eec6f987b966bb1f9e8c4e869a4035d6f8ba13d2e6a6e78c1cd7ea35187c8e559ca32c0c086353997edcb9de7c8ef668897891f38d2666d066db345
Homepage: https://cran.r-project.org/package=kssa
Description: CRAN Package 'kssa' (Known Sub-Sequence Algorithm)
 Implements the Known Sub-Sequence Algorithm <doi:10.1016/j.aaf.2021.12.013>,
 which helps to automatically identify and validate the best method for
 missing data imputation in a time series. Supports the comparison of
 multiple state-of-the-art algorithms.

Package: r-cran-kst
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-proxy, r-cran-relations, r-cran-sets
Suggests: r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-kst_0.5-4-1.ca2004.1_all.deb
Size: 231148
MD5sum: 68abdd10d364ef7ad517921771762e41
SHA1: 5bfd939f0a2ecd3be070a8af9961389c3eba2e8b
SHA256: b543178ef8d6dd06e25974795d999ecfa7bfa0a8f133208b457b1728e732a77a
SHA512: d0a4c2c23e5a00bd2bdfdab6b5f9ad2cecd6e6092023535ee4f463a5d77c4a2491655e924c870b2f79bd4a5931375a1435e7e8f381f94be68c2d63c02e6daf10
Homepage: https://cran.r-project.org/package=kst
Description: CRAN Package 'kst' (Knowledge Space Theory)
 Knowledge space theory by Doignon and Falmagne (1999)
 <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework,
 which proposes mathematical formalisms to operationalize knowledge
 structures in a particular domain. The 'kst' package provides basic
 functionalities to generate, handle, and manipulate knowledge structures and
 knowledge spaces.

Package: r-cran-kstatistics
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kstatistics_2.1.1-1.ca2004.1_all.deb
Size: 229024
MD5sum: efbc7a27e9d7d619ba8c7e571f4dfc30
SHA1: 84259efa85d11333017e638729574228618511dd
SHA256: 421a8fe8ec7c824bf4c8e1343a809f937ddffe5db29d0bf7574857f5dfdfdd50
SHA512: 47de0b2847bcaebb335d5476f39c61fb0cab570615c54c7444fa921db0fa02e0d4c07248575314a789c5566cd9786091d2d5673ae9cb365d0d1cfa7fe4df5e3a
Homepage: https://cran.r-project.org/package=kStatistics
Description: CRAN Package 'kStatistics' (Unbiased Estimators for Cumulant Products and Faa Di Bruno'sFormula)
 Tools for estimate (joint) cumulants and (joint) products of cumulants of a
 random sample using (multivariate) k-statistics and (multivariate) polykays,
 unbiased estimators with minimum variance. Tools for generating univariate
 and multivariate Faa di Bruno's formula and related polynomials, such as
 Bell polynomials, generalized complete Bell polynomials, partition
 polynomials and generalized partition polynomials. For more details see Di
 Nardo E., Guarino G., Senato D. (2009) <arXiv:0807.5008>, <arXiv:1012.6008>.

Package: r-cran-kstio
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pks, r-cran-mass, r-cran-stringr, r-cran-sets, r-cran-relations, r-cran-kstmatrix
Suggests: r-cran-kst
Filename: pool/dists/focal/main/r-cran-kstio_0.4-2-1.ca2004.1_all.deb
Size: 412352
MD5sum: 6a987b141bbf1a96d651ad30e2b69387
SHA1: 586459f29e666bbc22821e31d1f7e066b3edb34f
SHA256: 6f3d4de4e1c5134a903a51613f619e8ef5ed45add3d0970ad449f9d4dd6ce8b7
SHA512: e7746877881f9d78871ff9123005291141f0e4835c02aab75b3d4824dff086289b1d0bcde17fc593bf139ee5326f312b12c23a95d81cd65711781943d0b95c9f
Homepage: https://cran.r-project.org/package=kstIO
Description: CRAN Package 'kstIO' (Knowledge Space Theory Input/Output)
 Knowledge space theory by Doignon and Falmagne (1999)
 <doi:10.1007/978-3-642-58625-5> is a set- and order-theoretical framework
 which proposes mathematical formalisms to operationalize knowledge
 structures in a particular domain.  The 'kstIO' package provides basic
 functionalities to read and write KST data from/to files to be used together
 with the 'kst', 'kstMatrix', 'CDSS', 'pks', or 'DAKS' packages.

Package: r-cran-ktensorgraphs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ktensorgraphs_1.1-1.ca2004.1_all.deb
Size: 177180
MD5sum: a9c54853f17fcf522f786f9f48bbe5ad
SHA1: 49c4fad6f7c394b88317001eda31bc844425eafa
SHA256: 0f94f6712c73fa16467273a3f2094533fdd8b93c19104166ca2e602f49da11b0
SHA512: 9fc686d77d446b68e637322c82f51685ee281b90576d6220ea728bb3918a8fab80597846a6e0020f17f948b0c9e43be40d65ea08c96bbeb3f2f3adcdd8cb876b
Homepage: https://cran.r-project.org/package=KTensorGraphs
Description: CRAN Package 'KTensorGraphs' (Co-Tucker3 Analysis of Two Sequences of Matrices)
 Provides a function called COTUCKER3() (Co-Inertia Analysis + Tucker3
 method) which performs a Co-Tucker3 analysis of two sequences of matrices,
 as well as other functions called PCA() (Principal Component Analysis) and
 BGA() (Between-Groups Analysis), which perform analysis of one matrix,
 COIA() (Co-Inertia Analysis), which performs analysis of two matrices, PTA()
 (Partial Triadic Analysis), STATIS(), STATISDUAL() and TUCKER3(), which
 perform analysis of a sequence of matrices, and BGCOIA() (Between-Groups
 Co-Inertia Analysis), STATICO() (STATIS method + Co-Inertia Analysis),
 COSTATIS() (Co-Inertia Analysis + STATIS method), which also perform
 analysis of two sequences of matrices.

Package: r-cran-ktsolve
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bb, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-ktsolve_1.3.1-1.ca2004.1_all.deb
Size: 19760
MD5sum: 2d345423b301e1c09d3fb6f1ca06e13a
SHA1: 843cd27a003e4488f216d529772226d7ff10ce33
SHA256: 4866656e4b58bf59bd2a60edfc10fbc7ecc6c8e8fd0f37b8f1f59eaf234c1a11
SHA512: 0eca5ede5d6a0c7f0f2d7dad57fcf4b3f0775ece8c7d776abb1897ab5224943f609806901e6356ca5557f5f63d1f815b1de70db05d0ae0fe91cb3b2358e8dc66
Homepage: https://cran.r-project.org/package=ktsolve
Description: CRAN Package 'ktsolve' (Configurable Function for Solving Families of NonlinearEquations)
 This is designed for use with an arbitrary set of equations with an
 arbitrary set of unknowns.  The user selects "fixed" values for enough
 unknowns to leave as many variables as there are equations, which in most
 cases means the system is properly defined and a unique solution exists. The
 function, the fixed values and initial values for the remaining unknowns are
 fed to a nonlinear backsolver.  The original version of "TK!Solver" , now a
 product of Universal Technical Systems (<https://www.uts.com>) was the
 inspiration for this function.

Package: r-cran-kuiper.2samp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-kuiper.2samp_1.0-1.ca2004.1_all.deb
Size: 15836
MD5sum: f16459d51e1655ff2db7ae69a10e26d1
SHA1: fa3f9d5a47619faad2c0654db27673661d9782aa
SHA256: 58a11e695223ec66372fca378b1b019daf844766cefc4df5b8ce63f0a8898f4b
SHA512: a393ca8d672a6691da54308f015cd044226d32010ad6554a1d3cdf6a49354e52c1dcc02733fbafd3cd2c94230b41ec921de1398de879a1a7125bd38dde34ec34
Homepage: https://cran.r-project.org/package=kuiper.2samp
Description: CRAN Package 'kuiper.2samp' (Two-Sample Kuiper Test)
 This function performs the two-sample Kuiper test to assess the anomaly of
 continuous, one-dimensional probability distributions. References used for
 this method are (1). Kuiper, N. H. (1960).
 <DOI:10.1016/S1385-7258(60)50006-0> and (2). Paltani, S. (2004).
 <DOI:10.1051/0004-6361:20034220>.

Package: r-cran-kurt
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-expm
Filename: pool/dists/focal/main/r-cran-kurt_1.1-1.ca2004.1_all.deb
Size: 54240
MD5sum: ef743f6b909c9f31ee52efa445319906
SHA1: c4a165cf52ca8df37da5b287ab3cdd75ddc39710
SHA256: f31a828601f45d7fac934fdc530a0350931d42b25cd9352543046c6c3ae49bee
SHA512: 18d9eb491f693cfca78b7bd7ee99b18f6f00cc772ff79d4da6b81dfa6380ea7e438007b469f77ffcaf515ed30f8de9314a11e0383792befcea15734204154c01
Homepage: https://cran.r-project.org/package=Kurt
Description: CRAN Package 'Kurt' (Performs Kurtosis-Based Statistical Analyses)
 Computes measures of multivariate kurtosis, matrices of fourth-order moments
 and cumulants, kurtosis-based projection pursuit.  Franceschini, C. and
 Loperfido, N. (2018, ISBN:978-3-319-73905-2). "An Algorithm for Finding
 Projections with Extreme Kurtosis".  Loperfido, N. (2017,ISSN:0024-3795). "A
 New Kurtosis Matrix, with Statistical Applications".

Package: r-cran-kutils
Architecture: all
Version: 1.73-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1150
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreign, r-cran-xtable, r-cran-plyr, r-cran-openxlsx, r-cran-runit
Suggests: r-cran-rockchalk
Filename: pool/dists/focal/main/r-cran-kutils_1.73-1.ca2004.1_all.deb
Size: 724480
MD5sum: a0d313b42b39ee3392c3675b8c02910a
SHA1: 5b3cdb72653b1563b16c65e8e7abdf935b28958d
SHA256: 563bcc60fd0bed123adc2746412c8c93aeef1db35cbc706ff187eb385d78163c
SHA512: 59106857727143b93df7a31636b211105945be170ec1f0e452ecfcadf2ba9eba0327740304e1b6d5339391372a367d108cba321e8d3fe8105736fa3ff769199d
Homepage: https://cran.r-project.org/package=kutils
Description: CRAN Package 'kutils' (Project Management Tools)
 Tools for data importation, recoding, and inspection.  There are functions
 to create new project folders, R code templates, create uniquely named
 output directories, and to quickly obtain a visual summary for each variable
 in a data frame.  The main feature here is the systematic implementation of
 the "variable key" framework for data importation and recoding.  We are
 eager to have community feedback about the variable key and the vignette
 about it. In version 1.7, the function 'semTable' is removed. It was
 deprecated since 1.67.  That is provided in a separate package, 'semTable'.

Package: r-cran-kvkapir
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-lifecycle, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-kvkapir_0.1.2-1.ca2004.1_all.deb
Size: 112068
MD5sum: 3b812a6dd9dfc2a4ecbb57e6b2106088
SHA1: c17e4a8d47ade8226383243829ffba75d7d10d37
SHA256: 2f8c347a94050d3e62f058560fae99e82f888e8c6537290e228ca0fbfaf62424
SHA512: 1496322922175490d48c7fe515f6fc089fc18a11720e5080948c3b201e0cb2b746736560451229f7281b9133f6fe1383e4cedc3f0b1e5f8bc544090e9eafdc94
Homepage: https://cran.r-project.org/package=kvkapiR
Description: CRAN Package 'kvkapiR' (Interface to the Dutch Chamber of Commerce (KvK) API)
 Access business registration data from the Dutch Chamber of Commerce (Kamer
 van Koophandel, KvK) through their official API
 <https://developers.kvk.nl/>. Search for companies by name, location, or
 registration number. Retrieve detailed business profiles, establishment
 information, and company name histories. Built on 'httr2' for robust API
 interaction with automatic pagination, error handling, and usage tracking.

Package: r-cran-kwb.hantush
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-hydrogof
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-kwb.hantush_0.3.0-1.ca2004.1_all.deb
Size: 230884
MD5sum: 3e21f8a6415840be55033dd9a9eba9a6
SHA1: 14b81cf4b81da336144fd4d0bb5c7f31765b0d25
SHA256: e7b6c4730eec38980c8bf1db4e592b610df30f15af45e95ef751ad8b11752117
SHA512: 421a01aa81f6e02fd403907ef8a222d761e22aca2b201dddee86d942623675a2d4541ed76a082f43db7889bba7650558339c9f0d0279a793fc5abf2103e244dc
Homepage: https://cran.r-project.org/package=kwb.hantush
Description: CRAN Package 'kwb.hantush' (Calculation of Groundwater Mounding Beneath an InfiltrationBasin)
 Calculation groundwater mounding beneath an infiltration basin based on the
 Hantush (1967) equation (<doi:10.1029/WR003i001p00227>). The correct
 implementation is shown with a verification example based on a USGS report
 (page 25,
 <https://pubs.usgs.gov/sir/2010/5102/support/sir2010-5102.pdf#page=35>).

Package: r-cran-kzs
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3462
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-kzs_1.4.1-1.ca2004.1_all.deb
Size: 3491372
MD5sum: e594e1061bf84eba9a526c52a87e2d08
SHA1: e02abda3da7a7f40d2cb3b80466f67b43c8856a0
SHA256: 76ac0b9b51e2103e514ce13b819207f72bb7c97164031128d8e5a101b7d32ecd
SHA512: 43390d20c4923ec88f1967b563cc2519597a75abf344fc4285641f9978ed94d85771a9b579f28caade958f64a3b27590db86a69531e59bcb5d6621baf16804e3
Homepage: https://cran.r-project.org/package=kzs
Description: CRAN Package 'kzs' (Kolmogorov-Zurbenko Spatial Smoothing and Applications)
 A spatial smoothing algorithm based on convolutions of finite rectangular
 kernels that provides sharp resolution in the presence of high levels of
 noise.

Package: r-cran-l0tfinv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1272
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-l0tfinv_0.1.0-1.ca2004.1_all.deb
Size: 445900
MD5sum: d79537cd2e303fcffdbe700d9b3c01c3
SHA1: e74172ffc51262fac70f564c9fd1ac4146d2d451
SHA256: bf30ece3936022220a3bc729331404aefa4a4b171274840fca8823ae0f437fe4
SHA512: 62ba2f5f6a44821509d9261f0821f9f06123236c44cc2acb8953318a91324d26545c0bb2097274081d645410b3fe6280d915bb5a7a7f6746da11dfb26f4750c0
Homepage: https://cran.r-project.org/package=L0TFinv
Description: CRAN Package 'L0TFinv' (A Splicing Approach to the Inverse Problem of L0 Trend Filtering)
 Trend filtering is a widely used nonparametric method for knot detection.
 This package provides an efficient solution for L0 trend filtering, avoiding
 the traditional methods of using Lagrange duality or Alternating Direction
 Method of Multipliers algorithms. It employ a splicing approach that
 minimizes L0-regularized sparse approximation by transforming the L0 trend
 filtering problem. The package excels in both efficiency and accuracy of
 trend estimation and changepoint detection in segmented functions.
 References: Wen et al. (2020) <doi:10.18637/jss.v094.i04>; Zhu et al.
 (2020)<doi:10.1073/pnas.2014241117>; Wen et al. (2023)
 <doi:10.1287/ijoc.2021.0313>.

Package: r-cran-l1ball
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-l1ball_0.1.0-1.ca2004.1_all.deb
Size: 33384
MD5sum: 5c5f4ce41d558a9864655fcf32c646f8
SHA1: 81bb81238c68b9f5168d39d93ec43accfd3b6b09
SHA256: 2489625332d61cde01a4a8071353533b90f9601be2e7525cb4da8526812d2b8a
SHA512: 9b900214d779e3df9c31396d06f9f8e0acd6fbe96c9d27de722dc810ca0a2f0ab69e3e3f5ca00c5f9922a06f86e1b8fd9757b0d03b2813b52df87aae98ea3a3e
Homepage: https://cran.r-project.org/package=l1ball
Description: CRAN Package 'l1ball' (L1-Ball Prior for Sparse Regression)
 Provides function for the l1-ball prior on high-dimensional regression. The
 main function, l1ball(), yields posterior samples for linear regression, as
 introduced by Xu and Duan (2020) <arXiv:2006.01340>.

Package: r-cran-l1kdeconv
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mixtools, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-l1kdeconv_1.2.0-1.ca2004.1_all.deb
Size: 38936
MD5sum: 02fe81fffa0a40ff4f492fdb67da81b1
SHA1: fb06742e3740e262821b698a1e926637fba5b0d9
SHA256: 0dfe06af24212fa2078e2380148de0e7c6861437e4b040f793c0fd7b3e4ee3d6
SHA512: e1f855b24388c97648ff164b47834cc4f89f1b01401d43c15362c8244adb2122633afecf8987f873ad94242318f8fdda2be9713d94d464a23c83d802eb6fd661
Homepage: https://cran.r-project.org/package=l1kdeconv
Description: CRAN Package 'l1kdeconv' (Deconvolution for LINCS L1000 Data)
 LINCS L1000 is a high-throughput technology that allows the gene expression
 measurement in a large number of assays. However, to fit the measurements of
 ~1000 genes in the ~500 color channels of LINCS L1000, every two landmark
 genes are designed to share a single channel. Thus, a deconvolution step is
 required to infer the expression values of each gene. Any errors in this
 step can be propagated adversely to the downstream analyses. We present a
 LINCS L1000 data peak calling R package l1kdeconv based on a new outlier
 detection method and an aggregate Gaussian mixture model. Upon the remove of
 outliers and the borrowing information among similar samples, l1kdeconv
 shows more stable and better performance than methods commonly used in LINCS
 L1000 data deconvolution.

Package: r-cran-l1rotation
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-matrixstats, r-cran-pracma, r-cran-scales
Suggests: r-cran-knitr, r-cran-quarto, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-l1rotation_1.0.1-1.ca2004.1_all.deb
Size: 467644
MD5sum: ef3eeb993440528f68868479587b3d6d
SHA1: 2781f2ca676b6e2ba15f9f50492d5792020ea251
SHA256: beff1ca1c3098ff0da7a0bc917ca75a21675fbed5ab9e1cd7a6c89670fc2184a
SHA512: 40b8c127089069be66d170fb0275b1f634b8c2f428b506c8bcad842435e3b2556d136ab309a9671379f566cb8c1a4354dd865b0361fb2fb58536a097ea511b95
Homepage: https://cran.r-project.org/package=l1rotation
Description: CRAN Package 'l1rotation' (Identify Loading Vectors under Sparsity in Factor Models)
 Simplify the loading matrix in factor models using the l1 criterion as
 proposed in Freyaldenhoven (2025) <doi:10.21799/frbp.wp.2020.25>. Given a
 data matrix, find the rotation of the loading matrix with the smallest
 l1-norm and/or test for the presence of local factors with main function
 local_factors().

Package: r-cran-l2boost
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-l2boost_1.0.3-1.ca2004.1_all.deb
Size: 291028
MD5sum: b68343824b30ba2b08306603ac0fe610
SHA1: 1b8aaec2930d7450cdcb4a29d78a4534183a2f61
SHA256: 6f47b662d92c75ebacc4bb81d3128faa3aaa31d2226c40ef30140fd1d0b84aae
SHA512: d93cf8f0a2bc1a9191c817b0ce574a5a8a56d1be0f3a817513f08cac537ab7a9b4beddf2b9056203a8c5759db384362927f7dfcd4e6939f88453387988aa6bba
Homepage: https://cran.r-project.org/package=l2boost
Description: CRAN Package 'l2boost' (Exploring Friedman's Boosting Algorithm for Regularized LinearRegression)
 Efficient implementation of Friedman's boosting algorithm with l2-loss
 function and coordinate direction (design matrix columns) basis functions.

Package: r-cran-l2densitygoftest
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fgarch, r-cran-nor1mix, r-cran-boot, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-l2densitygoftest_0.6.0-1.ca2004.1_all.deb
Size: 57940
MD5sum: d0e65f6c931548c37f0eb325ac10eb19
SHA1: c0ba4a87a8925eb5c7c7044d6e80421eb349ee4d
SHA256: 0b8acc487a630a95043d8da502a80b37b2d9803a529b6570b04efde6548bd735
SHA512: f2a2855c18b229dcd9333861d80f9a1612a3bf958819f5bcf96c5c65af8e1242ae312406a6a35d1bb45201ebe910344a44497a92f751f706de65c362dcddcc14
Homepage: https://cran.r-project.org/package=L2DensityGoFtest
Description: CRAN Package 'L2DensityGoFtest' (Density Goodness-of-Fit Test)
 Provides functions for the implementation of a density goodness-of-fit test,
 based on piecewise approximation of the L2 distance.

Package: r-cran-l2e
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-osqp, r-cran-isotone, r-cran-cobs, r-cran-ncvreg, r-cran-matrix, r-cran-signal, r-cran-robustbase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-latex2exp
Filename: pool/dists/focal/main/r-cran-l2e_2.0-1.ca2004.1_all.deb
Size: 399620
MD5sum: 9eb3b068c577211ef0e765ed4ad69fe9
SHA1: 08ad694e36192da2a32740f86760f5d7ba47ac0c
SHA256: 6189bf299b4875ccc7cb321144d7f69f157ad9f7343e74453d08ae5229335857
SHA512: 3aa5bb970ded974f6a69640645735563be7b0f0736d21ecf1b69032d540ac20ec1eb514216abada52ad39f768a4f547977c4a70bb622a426253048a84ff4ff34
Homepage: https://cran.r-project.org/package=L2E
Description: CRAN Package 'L2E' (Robust Structured Regression via the L2 Criterion)
 An implementation of a computational framework for performing robust
 structured regression with the L2 criterion from Chi and Chi (2021+).
 Improvements using the majorization-minimization (MM) principle from Liu,
 Chi, and Lange (2022+) added in Version 2.0.

Package: r-cran-l2hdchange
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-l2hdchange_1.0-1.ca2004.1_all.deb
Size: 384324
MD5sum: ca02f26ffd4c0f49ff2661c818d850c1
SHA1: b2a3d51fcee2cbf6068fe8c1aec4e664f4fa9038
SHA256: e89cb2724345c51904181e02bae9203d2b974fc3d8d4d9d79b3513f42ca09999
SHA512: e8d65918222efdb6bf84acdcf154a615e279e0e48b65a622779729a86aa93937746e3fbeddfc104fd3c1be8131f305b5ea5a94f844e1f4b888abe47991bddd3a
Homepage: https://cran.r-project.org/package=L2hdchange
Description: CRAN Package 'L2hdchange' (L2 Inference for Change Points in High-Dimensional Time Series)
 Provides a method for detecting multiple change points in high-dimensional
 time series, targeting dense or spatially clustered signals. See Li et al.
 (2023) "L2 Inference for Change Points in High-Dimensional Time Series via a
 Two-Way MOSUM".  arXiv preprint <arXiv:2208.13074>.

Package: r-cran-lab2clean
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1422
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-printr
Filename: pool/dists/focal/main/r-cran-lab2clean_1.0.0-1.ca2004.1_all.deb
Size: 682912
MD5sum: 0b04cb047d8f23b3a06f89f6ae9d4c4b
SHA1: 694a70478a8b2ec8748db7b67b19025d8d21f243
SHA256: 204f2f54d6f4bc615b8c700e9f07d34d1eed80725cf090ae987bd10e347bc3d1
SHA512: 00d26a4c7705f1df2bad7734d5cbae8b4415b4c9d3666ef980b4a9d06f46b9c51750d9d2bf82f5b7317d09c14d946f939ed760f98b72bf53ed0d4012a2d28d2e
Homepage: https://cran.r-project.org/package=lab2clean
Description: CRAN Package 'lab2clean' (Automation and Standardization of Cleaning Clinical Lab Data)
 Navigating the shift of clinical laboratory data from primary everyday
 clinical use to secondary research purposes presents a significant
 challenge. Given the substantial time and expertise required for lab data
 pre-processing and cleaning and the lack of all-in-one tools tailored for
 this need, we developed our algorithm 'lab2clean' as an open-source
 R-package. 'lab2clean' package is set to automate and standardize the
 intricate process of cleaning clinical laboratory results. With a keen focus
 on improving the data quality of laboratory result values, our goal is to
 equip researchers with a straightforward, plug-and-play tool, making it
 smoother for them to unlock the true potential of clinical laboratory data
 in clinical research and clinical machine learning (ML) model development.
 Version 1.0 of the algorithm is described in detail in 'Zayed et al. (2024)'
 <doi:10.1186/s12911-024-02652-7>.

Package: r-cran-labapplstat
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-emmeans, r-cran-ggplot2, r-cran-ggraph, r-cran-vctrs
Suggests: r-cran-isdals, r-cran-estimability, r-cran-dobson, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-labapplstat_1.4.4-1.ca2004.1_all.deb
Size: 91924
MD5sum: e27ca54b0a96b8dc06679253890bbf10
SHA1: 855c618edce5a254b38186e6109720b8cfabe45d
SHA256: 21064c8cfcc8ca3c31ce019f3708330fb8f1d4d0a349d4f69f4b69d87ad972f0
SHA512: 672d21c1bedffc7f39188e1849e79d42781bc5bc81892c3dbb8844deb8f09644f49678c92c567e1d9be86fe7a9c6b3253124d24dae4b70b4357ee138bd5e5ac4
Homepage: https://cran.r-project.org/package=LabApplStat
Description: CRAN Package 'LabApplStat' (Miscellaneous Scripts from the Data Science Laboratory (UCPH))
 Miscellaneous scripts, e.g. functionality to make and plot factor diagrams
 for the statistical design.

Package: r-cran-label.switching
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-label.switching_1.8-1.ca2004.1_all.deb
Size: 156020
MD5sum: d45b1fbba7a63547364cc2670be5d10f
SHA1: 3b1a516d38a489ac2a1a092718d803902f4d9c92
SHA256: 4bf1d240b607b232ac84913073a456ef6d1ad5156af8186e974058ff8b245a62
SHA512: 60d2ab4b7448ec161eb7e8397df90f2b88cfa7f18ac8e9564e77f9345e2ad04fcd483600b3b115f68b2c89bfa92b8f42a4f8b48ac7c49b0b5a5b5fc1fdbb257e
Homepage: https://cran.r-project.org/package=label.switching
Description: CRAN Package 'label.switching' (Relabelling MCMC Outputs of Mixture Models)
 The Bayesian estimation of mixture models (and more general hidden Markov
 models) suffers from the label switching phenomenon, making the MCMC output
 non-identifiable. This package can be used in order to deal with this
 problem using various relabelling algorithms.

Package: r-cran-labeler
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4883
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-blastula, r-cran-keyring, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-labeler_0.4.0-1.ca2004.1_all.deb
Size: 4472580
MD5sum: 9f23ab24ccedf0faf0d42f1eea406454
SHA1: 542df57d796efe6b7c242a2aa0e9bb003d8f0136
SHA256: b275c19d480d9b306f7bb29400d56a205f941cf10cc0bdcf712c46a305632d3e
SHA512: 7f9b8c68fd7987a0b237a41e5eafff4b73fd63a2889ab0064536bbca7d9ec5139be7a39ec388efb0798b3cb0197d1a18dcfe945194c592529c6770c87acedfa6
Homepage: https://cran.r-project.org/package=labeleR
Description: CRAN Package 'labeleR' (Automate the Production of Custom Labels, Badges, Certificates,and Other Documents)
 Create custom labels, badges, certificates and other documents. Automate the
 production of potentially large numbers of herbarium and collection labels,
 accreditation badges, attendance and participation certificates, etc, and
 deliver them automatically.  Documents are generated in PDF format, which
 requires a working installation of 'LaTeX', such as 'TinyTeX'.

Package: r-cran-labeling
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-labeling_0.4.3-1.ca2004.1_all.deb
Size: 59956
MD5sum: 6e481d385f91c8272dbc05affc185fb6
SHA1: 7cbb86b286f758573086321a7f888f6920dadbd7
SHA256: d7478311c4af2cf580302aa21ed581051a98a1f9f3b6ef046aa9301907f1591c
SHA512: 30068789b2feebac84b2881dfd8ec699d57bf078ba1509b23d2977fe5e9687c637ebd924ad681b0feb886af46ffbfb0145c99d875caba2a366acdd18c2da1aa3
Homepage: https://cran.r-project.org/package=labeling
Description: CRAN Package 'labeling' (Axis Labeling)
 Functions which provide a range of axis labeling algorithms.

Package: r-cran-labelled
Architecture: all
Version: 2.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 654
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-haven, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-vctrs, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-questionr, r-cran-snakecase, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-labelled_2.14.1-1.ca2004.1_all.deb
Size: 319888
MD5sum: ed589fe27ea223c754659d8adde5f48a
SHA1: f9ceb6a95960f4611ab82b86c072a94dbc61ffe9
SHA256: ccbf0f0a17dca4e0adf75ca4a79a1e4dcc40cc2d19465334c13f211514bb2e74
SHA512: 37df6a5851a8d88d63e0f1fc0a8b3d765683c75dc4eba2b902ca24d096d86a10cda0747f3c05c530e495d873d4d077dcaabbbb31e160d926aaa41f2d60089f6c
Homepage: https://cran.r-project.org/package=labelled
Description: CRAN Package 'labelled' (Manipulating Labelled Data)
 Work with labelled data imported from 'SPSS' or 'Stata' with 'haven' or
 'foreign'. This package provides useful functions to deal with
 "haven_labelled" and "haven_labelled_spss" classes introduced by 'haven'
 package.

Package: r-cran-labelmachine
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-magrittr, r-cran-rlang, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-labelmachine_1.0.0-1.ca2004.1_all.deb
Size: 292460
MD5sum: 09fee533d3ebe368acd97dca80e2b34f
SHA1: d062791e731a418a01a0c183f41d0a1bbcda6f36
SHA256: e5b6e3518841a27d13b3f0fa7d70bdcd9c8257d724a26ea4bf3755e2fed8ade5
SHA512: fba51a2838fa1c86c1e47861b3d77316f24dcd0daf854849c8c2b3fe10ee1aade4906eecdd596e33698036fd0ceecfaba548ac8bc52ab706cd1c77e72caf7084
Homepage: https://cran.r-project.org/package=labelmachine
Description: CRAN Package 'labelmachine' (Make Labeling of R Data Sets Easy)
 Assign meaningful labels to data frame columns.  'labelmachine' manages your
 label assignment rules in 'yaml' files and makes it easy to use the same
 labels in multiple projects.

Package: r-cran-labelr
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-car, r-cran-nycflights13, r-cran-collapse, r-cran-tibble, r-cran-haven, r-cran-dplyr, r-cran-modelr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-labelr_0.1.9-1.ca2004.1_all.deb
Size: 593344
MD5sum: 90e5a6ab8c249138c02c573b589c09a5
SHA1: 9c8230d29ef375310f545c4a1ec8f87b82ab1f08
SHA256: efeae310d8dfee2505135b999acae6040731abb696813b500987ba27d0bf981d
SHA512: b00eff524d93d0c559488684f5ab4b1c0be2d0932def0ffb983eb0ff10256519eb7dbe3333a489dd092daa928e3cc110ba71736756496f7a1f212742a2715425
Homepage: https://cran.r-project.org/package=labelr
Description: CRAN Package 'labelr' (Label Data Frames, Variables, and Values)
 Create and use data frame labels for data frame objects (frame labels),
 their columns (name labels), and individual values of a column (value
 labels). Value labels include one-to-one and many-to-one labels for nominal
 and ordinal variables, as well as numerical range-based value labels for
 continuous variables. Convert value-labeled variables so each value is
 replaced by its corresponding value label. Add values-converted-to-labels
 columns to a value-labeled data frame while preserving parent columns.
 Filter and subset a value-labeled data frame using labels, while returning
 results in terms of values. Overlay labels in place of values in common R
 commands to increase interpretability. Generate tables of value frequencies,
 with categories expressed as raw values or as labels. Access data frames
 that show value-to-label mappings for easy reference.

Package: r-cran-labelrank
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pdist
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-labelrank_0.1-1.ca2004.1_all.deb
Size: 31228
MD5sum: 3c62fd3b8058ae853d8e80d53a1af4cd
SHA1: bd73ed1b74bbb0fcbef29239b8c16e3dd38dd4f3
SHA256: 5ea8e3f148d1f1f54e56a0948949bbb8ba7729d628f317d554321e23a05a40e9
SHA512: 13d7625439c5cdf028cc158f131e54c55d0d44c42aefae663561dcaa778906a01e46cc925d7fffadee6ef8c780abb61a2c9d0bab057eaf6d0bf0b5e673ee9de2
Homepage: https://cran.r-project.org/package=labelrank
Description: CRAN Package 'labelrank' (Predicting Rankings of Labels)
 An implementation of distance-based ranking algorithms to predict rankings
 of labels.  Two common algorithms are included: the naive Bayes and the
 nearest neighbor algorithms.

Package: r-cran-labelvector
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-hmisc, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-labelvector_0.1.2-1.ca2004.1_all.deb
Size: 34580
MD5sum: 1d80c115878a45fd96fd435c30fe80f6
SHA1: a7371a0e6e096781225ffd668f15f64345682428
SHA256: 0d03864722480d599088c207d5a79e8843a84dc713314c8a9dfea5b6c0152ab3
SHA512: 43f2ca0905de18a08653d07775964de04b8199e296fe7c53e704de69608a006bae49346af19a89f99d19e68d30cc9cdb5bf526f804612e3ea237994322390e9a
Homepage: https://cran.r-project.org/package=labelVector
Description: CRAN Package 'labelVector' (Label Attributes for Atomic Vectors)
 Labels are a common construct in statistical software providing a human
 readable description of a variable. While variable names are succinct, quick
 to type, and follow a language's naming conventions, labels may be more
 illustrative and may use plain text and spaces. R does not provide native
 support for labels. Some packages, however, have made this feature
 available.  Most notably, the 'Hmisc' package provides labelling methods for
 a number of different object. Due to design decisions, these methods are not
 all exported, and so are unavailable for use in package development.  The
 'labelVector' package supports labels for atomic vectors in a light-weight
 design that is suitable for use in other packages.

Package: r-cran-lablaster
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-smooth, r-cran-scales, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-lablaster_1.0.1-1.ca2004.1_all.deb
Size: 44524
MD5sum: 8a1873fa9dc82ab208a0dc061daa19ec
SHA1: bc878a5c2d5e36e8bdceb63acb25354ec15200b1
SHA256: 06fa551b709c7fd4522129585b9dac66e9085e606e3928e7b30cdd3671591b6b
SHA512: cb18c98c814785e372d27e27b5f247766dc84b5022fdcc6c70a6b73cfae25ced05653e168cc92512205bb67aa43f05873799f767095e7902b412187bb14aa805
Homepage: https://cran.r-project.org/package=lablaster
Description: CRAN Package 'lablaster' (Laser Ablation Blast Through Endpoint Detection)
 Imports a data frame containing a single time resolved laser ablation mass
 spectrometry analysis of a foraminifera (or other carbonate shell), then
 detects when the laser has burnt through the foraminifera test as a function
 of change in signal over time.

Package: r-cran-labnorm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4482
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-rappdirs, r-cran-scales, r-cran-tibble, r-cran-withr, r-cran-yesno
Suggests: r-cran-covr, r-cran-mockery, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-labnorm_1.0.1-1.ca2004.1_all.deb
Size: 3762268
MD5sum: 71525bdcdc317fa2f5693b27d824abfb
SHA1: baa21e799a43ecee8c55bcd618b2683cac7c8b93
SHA256: 55ea45bc1f784df1b382cb5e45849e528e503c49eca4e245f7c53285b1a8f9a5
SHA512: 08c45be982911c60368f39b898b052f2a4e8c877d0fa55786dabf2a69638645a2541e02bfac3754e5723f02eb678f74104c7e33347d2ea73af02949fc28ab51b
Homepage: https://cran.r-project.org/package=labNorm
Description: CRAN Package 'labNorm' (Normalize Laboratory Measurements by Age and Sex)
 Provides functions for normalizing standard laboratory measurements (e.g.
 hemoglobin, cholesterol levels) according to age and sex, based on the
 algorithms described in "Personalized lab test models to quantify disease
 potentials in healthy individuals" (Netta Mendelson Cohen, Omer Schwartzman,
 Ram Jaschek, Aviezer Lifshitz, Michael Hoichman, Ran Balicer, Liran I.
 Shlush, Gabi Barbash & Amos Tanay, <doi:10.1038/s41591-021-01468-6>). Allows
 users to easily obtain normalized values for standard lab results, and to
 visualize their distributions. See more at
 <https://tanaylab.weizmann.ac.il/labs/>.

Package: r-cran-labourmarketareas
Architecture: all
Version: 3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2122
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-sf, r-cran-data.table, r-cran-spdep, r-cran-tmap
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-labourmarketareas_3.4-1.ca2004.1_all.deb
Size: 1222360
MD5sum: d7f0ecee4b03606ee761925eab2b2d5d
SHA1: bc844a1144d37d844fa5344821d46c93865bdd58
SHA256: 8433d3b284c610f3ea739d418664e9b1e02e8471dee7158eccaf5e8dbbd668ff
SHA512: 114cc0c39276ba73196bec979d5f94b58c8d10939f96d012b919c84b8572e1ee86d15c5b401e1948b36ff14ea4c5a647887af6fbe1104ebee812e3ba46a231f8
Homepage: https://cran.r-project.org/package=LabourMarketAreas
Description: CRAN Package 'LabourMarketAreas' (Identification, Tuning, Visualisation and Analysis of LabourMarket Areas)
 Produces Labour Market Areas from commuting flows available at elementary
 territorial units. It provides tools for automatic tuning based on spatial
 contiguity. It also allows for statistical analyses and visualisation of the
 new functional geography.

Package: r-cran-labourr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-cld2, r-cran-magrittr, r-cran-stopwords, r-cran-stringdist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-labourr_1.0.0-1.ca2004.1_all.deb
Size: 2915284
MD5sum: afb4348577b5d73f703b68d960dd23e5
SHA1: 78e01e9346d7b377637df2fa62ff4138aedd149a
SHA256: e12653df9d8c12734e19ac1910bc6780642339bb06c7660cdfe0f5f0f473ea03
SHA512: 63bb7317476264a751ac0acc236969a5e3fb3b99135c16df9a0b1c30253d5a6d9bf186a2c16b6b5a932b33bb3207cebd8c66a0b2dfd33950cc0377dbe22c606d
Homepage: https://cran.r-project.org/package=labourR
Description: CRAN Package 'labourR' (Classify Multilingual Labour Market Free-Text to StandardizedHierarchical Occupations)
 Allows the user to map multilingual free-text of occupations to a broad
 range of standardized classifications. The package facilitates automatic
 occupation coding (see, e.g., Gweon et al. (2017)
 <doi:10.1515/jos-2017-0006> and Turrell et al. (2019) <doi:10.3386/w25837>),
 where the ISCO to ESCO mapping is exploited to extend the occupations
 hierarchy, Le Vrang et al. (2014) <doi:10.1109/mc.2014.283>. Document
 vectorization is performed using the multilingual ESCO corpus. A method
 based on the nearest neighbor search is used to suggest the closest ISCO
 occupation.

Package: r-cran-labrs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 438
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Suggests: r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-labrs_0.1.0-1.ca2004.1_all.deb
Size: 350168
MD5sum: b793f46231a4ca30b19c9a5698eec6c7
SHA1: 774b1a918c359507a4d1f37d0cf589bac0f1c704
SHA256: c2eaeb421d4d308e9b2a24b3116d914fc33181532377c149ab7ea899336ef815
SHA512: 84ab9d01ebda7041663f63489c241ec9385ecfc6e7e145746ce1a85947aa8799f3ed50c76518c473506a11c45e370adfc5c4faf566bf692bd7b39594d2f75bb2
Homepage: https://cran.r-project.org/package=LabRS
Description: CRAN Package 'LabRS' (Laboratorio di "Ricerca Sociale con R")
 Dati, scripts e funzioni per il libro "Ricerca sociale con R. Concetti e
 funzioni base per la ricerca sociale" (Datasets, scripts and functions to
 support the book "Ricerca sociale con R. Concetti e funzioni base per la
 ricerca sociale").

Package: r-cran-labsimplex
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3851
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-frf2
Filename: pool/dists/focal/main/r-cran-labsimplex_0.1.2-1.ca2004.1_all.deb
Size: 2835292
MD5sum: 99311c42943ab7a327e5340ce8563788
SHA1: 3098a8e0f5f41b6ed72775a7e297024c9f60ed2b
SHA256: d9361f35b12e4fe184a7b92f3ba4c7af69f78c9b50405090699174ffba7ee6fc
SHA512: 975e8266ea80bb67aae9184e89c673ded2d28ea76241b8da0133c4b93e25c7b70aafbd4ebbd7a12c0a5943d7fbc29e4cbb62b46813c5f8e9a4b8c709147fe13c
Homepage: https://cran.r-project.org/package=labsimplex
Description: CRAN Package 'labsimplex' (Simplex Optimization Algorithms for Laboratory and ManufacturingProcesses)
 Simplex optimization algorithms as firstly proposed by Spendley et al.
 (1962) <doi:10.1080/00401706.1962.10490033> and later modified by Nelder and
 Mead (1965) <doi:10.1093/comjnl/7.4.308> for laboratory and manufacturing
 processes. The package also provides tools for graphical representation of
 the simplexes and some example response surfaces that are useful in
 illustrating the optimization process.

Package: r-cran-labstatr
Architecture: all
Version: 1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-labstatr_1.0.13-1.ca2004.1_all.deb
Size: 185136
MD5sum: e7b9fb5b23e18f603f3bd29e6fe44a6c
SHA1: 0dfb34a8555d6d630c4b7fa7a62d0e2825095164
SHA256: 8e5592f7ffc9572e7dd73c3adafa91ec5d3b30eb58c26350aa186416426cf504
SHA512: a0f2813bcb4c696b23896151324ecbeecd0fe747ca6f60579647bf631d28a5cca67a6b11dfd5c8b60776c00599abe72ddd0ff1dde319f4feca5c59032c9a95b9
Homepage: https://cran.r-project.org/package=labstatR
Description: CRAN Package 'labstatR' (Libreria Del Laboratorio Di Statistica Con R)
 Insieme di funzioni di supporto al volume "Laboratorio di Statistica con R",
 Iacus-Masarotto, MacGraw-Hill Italia, 2006.  This package contains sets of
 functions defined in "Laboratorio di Statistica con R", Iacus-Masarotto,
 MacGraw-Hill Italia, 2006. Function names and docs are in italian as well.

Package: r-cran-labstats
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-labstats_1.0.1-1.ca2004.1_all.deb
Size: 72248
MD5sum: f0e25ce25dfe07e33c26860917e388f6
SHA1: 8428bfaa59d0614a94072f6134fd5cc144301506
SHA256: c403d59c5c97ea38b96cad1994908eaace2cd2ef46c3f7539d13b0b81554edaf
SHA512: adfe7d20f753f4926844582431caaf01613026f25dd2482a88deac9d516e60f075cf0229e0014ca527fd57ad7de921439e52b6047cdc8015f3c9e753a4fe65ff
Homepage: https://cran.r-project.org/package=labstats
Description: CRAN Package 'labstats' (Data Sets for the Book "Experimental Design for LaboratoryBiologists")
 Contains data sets to accompany the book: Lazic SE (2016). "Experimental
 Design for Laboratory Biologists: Maximising Information and Improving
 Reproducibility". Cambridge University Press.

Package: r-cran-lacrmr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-janitor, r-cran-sjmisc, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-httptest, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-lacrmr_1.0.5-1.ca2004.1_all.deb
Size: 230508
MD5sum: 13173af1b1ec210909ad5451e9799ae2
SHA1: f4b77b6e1cfdd445fbd0e6ace46f039d99b07448
SHA256: 72d5d721bda0fd2cd40d4fb9850aab2b059e6017137cb231b71795759c5ea6e1
SHA512: c7faf66a7e3ddd5881059fe7ddd17a5a70eb5c757e3395e6fdeefe5d42e4578f2c9f5c461b1db6dbf5274b5fc47993ae57d67a4f55e78e7848149a14c4437878
Homepage: https://cran.r-project.org/package=lacrmr
Description: CRAN Package 'lacrmr' (Connect to the 'Less Annoying CRM' API)
 Connect to the 'Less Annoying CRM' API with ease to get your crm data in a
 clean and tidy format. 'Less Annoying CRM' is a simple CRM built for small
 businesses, more information is available on their website
 <https://www.lessannoyingcrm.com/>.

Package: r-cran-lactater
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-broom, r-cran-dplyr, r-cran-ggplot2, r-cran-ggtext, r-cran-patchwork, r-cran-lubridate, r-cran-minpack.lm, r-cran-pracma, r-cran-rlang, r-cran-segmented, r-cran-stringr, r-cran-tidyr, r-cran-forcats
Suggests: r-cran-bsplus, r-cran-covr, r-cran-datapasta, r-cran-glue, r-cran-knitr, r-cran-miniui, r-cran-rhandsontable, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lactater_0.2.0-1.ca2004.1_all.deb
Size: 267664
MD5sum: ee4704ac651983250dcee12d417b6ffa
SHA1: 757d7bdc5d1a90bca9c14beabe9521856008aba6
SHA256: b9d4724a2473eda4b1d516c2ea5e2dc5b1ef2f94ed4298b9aef2544576707632
SHA512: b176004f19648083b5b98d4f39570161ac5c4e2adf89dc2fe6d0ab5c5e0ceaa34c4c9d092889db2400afac3f618a80e49b9697c2a6e7bbf058a54e46756e8b24
Homepage: https://cran.r-project.org/package=lactater
Description: CRAN Package 'lactater' (Tools for Analyzing Lactate Thresholds)
 Set of tools for analyzing lactate thresholds from a step incremental test
 to exhaustion. Easily analyze the methods Log-log, Onset of Blood Lactate
 Accumulation (OBLA), Baseline plus (Bsln+), Dmax, Lactate Turning Point
 (LTP), and Lactate / Intensity ratio (LTratio) in cycling, running, or
 swimming.  Beaver WL, Wasserman K, Whipp BJ (1985)
 <doi:10.1152/jappl.1985.59.6.1936>.  Heck H, Mader A, Hess G, Mücke S,
 Müller R, Hollmann W (1985) <doi:10.1055/s-2008-1025824>.  Kindermann W,
 Simon G, Keul J (1979) <doi:10.1007/BF00421101>.  Skinner JS, Mclellan TH
 (1980) <doi:10.1080/02701367.1980.10609285>.  Berg A, Jakob E, Lehmann M,
 Dickhuth HH, Huber G, Keul J (1990) PMID 2408033.  Zoladz JA, Rademaker AC,
 Sargeant AJ (1995) <doi:10.1113/jphysiol.1995.sp020959>.  Cheng B, Kuipers
 H, Snyder A, Keizer H, Jeukendrup A, Hesselink M (1992)
 <doi:10.1055/s-2007-1021309>.  Bishop D, Jenkins DG, Mackinnon LT (1998)
 <doi:10.1097/00005768-199808000-00014>.  Hughson RL, Weisiger KH, Swanson GD
 (1987) <doi:10.1152/jappl.1987.62.5.1975>.  Jamnick NA, Botella J, Pyne DB,
 Bishop DJ (2018) <doi:10.1371/journal.pone.0199794>.  Hofmann P, Tschakert G
 (2017) <doi:10.3389/fphys.2017.00337>.  Hofmann P, Pokan R, von Duvillard
 SP, Seibert FJ, Zweiker R, Schmid P (1997)
 <doi:10.1097/00005768-199706000-00005>.  Pokan R, Hofmann P, Von Duvillard
 SP, et al. (1997) <doi:10.1097/00005768-199708000-00009>.  Dickhuth H-H, Yin
 L, Niess A, et al. (1999) <doi:10.1055/s-2007-971105>.

Package: r-cran-lactcurves
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-orthopolynom
Filename: pool/dists/focal/main/r-cran-lactcurves_1.1.0-1.ca2004.1_all.deb
Size: 162324
MD5sum: b1c689954d2d53a9489a3c33500e43e9
SHA1: ba0f1281ca9f7c381aff948338b92147926c3914
SHA256: abc7c84c783ef910bfa68922229ad22583ae039d3db759938bb1439409a86b87
SHA512: 7b730326e485dc2a952732087be97f0727cf88b8d56f7ba605d44c6bbebb25ae62dbecb7c90ea5be53cffb7bf939fe8a701b853a8bc6c9b10a925a0436d7a742
Homepage: https://cran.r-project.org/package=lactcurves
Description: CRAN Package 'lactcurves' (Lactation Curve Parameter Estimation)
 AllCurves() runs multiple lactation curve models and extracts selection
 criteria for each model.  This package summarises the most common lactation
 curve models from the last century and provides a tool for researchers to
 quickly decide on which model fits their data best to proceed with their
 analysis.  Start parameters were optimized based on a dataset with 1.7
 million Holstein-Friesian cows. If convergence fails, the start parameters
 need to be manually adjusted.  The models included in the package are taken
 from: (1) Michaelis-Menten: Michaelis, L. and M.L. Menten (1913).
 <www.plantphys.info/plant_physiology/copyright/MichaelisMentenTranslation2.pdf>
 (1a) Michaelis-Menten (Rook): Rook, A.J., J. France, and M.S. Dhanoa (1993).
 <doi:10.1017/S002185960007684X> (1b) Michaelis-Menten + exponential (Rook):
 Rook, A.J., J. France, and M.S. Dhanoa (1993).
 <doi:10.1017/S002185960007684X> (2) Brody (1923): Brody, S., A.C. Ragsdale,
 and C.W. Turner (1923).  <doi:10.1085/jgp.5.6.777> (3) Brody (1924): Brody,
 S., C.W. Tuner, and A.C. Ragsdale (1924).
 <https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2140670/> (4) Schumacher:
 Schumacher, F.X. (1939) in Thornley, J.H.M. and J. France (2007).
 <https://books.google.com.au/books/about/Mathematical_Models_in_Agriculture.html?id=rlwBCRSHobcC&redir_esc=y>
 (4a) Schumacher (Lopez et al. 2015): Lopez, S. J. France, N.E. Odongo, R.A.
 McBride, E. Kebreab, O. AlZahal, B.W. McBride, and J. Dijkstra (2015).
 <doi:10.3168/jds.2014-8132> (5) Parabolic exponential (Adediran): Adediran,
 S.A., D.A. Ratkowsky, D.J. Donaghy, and A.E.O. Malau-Aduli (2012).
 <doi:10.3168/jds.2011-4663> (6) Wood: Wood, P.D.P. (1967).
 <doi:10.1038/216164a0> (6a) Wood reparameterized (Dhanoa): Dhanoa, M.S.
 (1981).  <doi:10.1017/S0003356100027276> (6b) Wood non-linear
 (Cappio-Borlino): Cappio-Borlino, A., G. Pulina, and G. Rossi (1995).
 <doi:10.1016/0921-4488(95)00713-U> (7) Quadratic Polynomial (Dave): Dave,
 B.K. (1971) in Adediran, S.A., D.A. Ratkowsky, D.J. Donaghy, and A.E.O.
 Malau-Aduli (2012).  <doi:10.3168/jds.2011-4663> (8) Cobby and Le Du
 (Vargas): Vargas, B., W.J. Koops, M. Herrero, and J.A.M Van Arendonk (2000).
 <doi:10.3168/jds.S0022-0302(00)75005-3> (9) Papajcsik and Bodero 1:
 Papajcsik, I.A. and J. Bodero (1988).  <doi:10.1017/S0003356100003275> (10)
 Papajcsik and Bodero 2: Papajcsik, I.A. and J. Bodero (1988).
 <doi:10.1017/S0003356100003275> (11) Papajcsik and Bodero 3: Papajcsik, I.A.
 and J. Bodero (1988).  <doi:10.1017/S0003356100003275> (12) Papajcsik and
 Bodero 4: Papajcsik, I.A. and J. Bodero (1988).
 <doi:10.1017/S0003356100003275> (13) Papajcsik and Bodero 6: Papajcsik, I.A.
 and J. Bodero (1988).  <doi:10.1017/S0003356100003275> (14) Mixed log model
 1 (Guo and Swalve): Guo, Z. and H.H. Swalve (1995).
 <https://journal.interbull.org/index.php/ib/issue/view/11> (15) Mixed log
 model 3 (Guo and Swalve): Guo, Z. and H.H. Swalve (1995).
 <https://journal.interbull.org/index.php/ib/issue/view/11> (16)
 Log-quadratic (Adediran et al. 2012): Adediran, S.A., D.A. Ratkowsky, D.J.
 Donaghy, and A.E.O. Malau-Aduli (2012).  <doi:10.3168/jds.2011-4663> (17)
 Wilmink: J.B.M. Wilmink (1987).  <doi:10.1016/0301-6226(87)90003-0> (17a)
 modified Wilmink (Jakobsen): Jakobsen J.H., P. Madsen, J. Jensen, J.
 Pedersen, L.G. Christensen, and D.A. Sorensen (2002).
 <doi:10.3168/jds.S0022-0302(02)74231-8> (17b) modified Wilmink (Laurenson &
 Strucken): Strucken E.M., Brockmann G.A., and Y.C.S.M. Laurenson (2019).
 <http://www.aaabg.org/aaabghome/AAABG23papers/35Strucken23139.pdf> (18)
 Bicompartemental (Ferguson and Boston 1993): Ferguson, J.D., and R. Boston
 (1993) in Adediran, S.A., D.A. Ratkowsky, D.J. Donaghy, and A.E.O.
 Malau-Aduli (2012).  <doi:10.3168/jds.2011-4663> (19) Dijkstra: Dijkstra,
 J., J. France, M.S. Dhanoa, J.A. Maas, M.D. Hanigan, A.J. Rook, and D.E.
 Beever (1997).  <doi:10.3168/jds.S0022-0302(97)76185-X> (20) Morant and
 Gnanasakthy (Pollott et al 2000): Pollott, G.E. and E. Gootwine (2000).
 <doi:10.1017/S1357729800055028> (21) Morant and Gnanasakthy (Vargas et al
 2000): Vargas, B., W.J. Koops, M. Herrero, and J.A.M Van Arendonk (2000).
 <doi:10.3168/jds.S0022-0302(00)75005-3> (22) Morant and Gnanasakthy
 (Adediran et al. 2012): Adediran, S.A., D.A. Ratkowsky, D.J. Donaghy, and
 A.E.O. Malau-Aduli (2012).  <doi:10.3168/jds.2011-4663> (23) Khandekar (Guo
 and Swalve): Guo, Z. and H.H. Swalve (1995).
 <https://journal.interbull.org/index.php/ib/issue/view/11> (24) Ali and
 Schaeffer: Ali, T.E. and L.R. Schaeffer (1987).
 <https://cdnsciencepub.com/doi/pdf/10.4141/cjas87-067> (25) Fractional
 Polynomial (Elvira et al. 2013): Elvira, L., F. Hernandez, P. Cuesta, S.
 Cano, J.-V. Gonzalez-Martin, and S. Astiz (2012).
 <doi:10.1017/S175173111200239X> (26) Pollott multiplicative (Elvira):
 Elvira, L., F. Hernandez, P. Cuesta, S. Cano, J.-V. Gonzalez-Martin, and S.
 Astiz (2012).  <doi:10.1017/S175173111200239X> (27) Pollott modified:
 Adediran, S.A., D.A. Ratkowsky, D.J. Donaghy, and A.E.O. Malau-Aduli (2012).
 <doi:10.3168/jds.2011-4663> (28) Monophasic Grossman: Grossman, M. and W.J.
 Koops (1988).  <doi:10.3168/jds.S0022-0302(88)79723-4> (29) Monophasic Power
 Transformed (Grossman 1999): Grossman, M., S.M. Hartz, and W.J. Koops
 (1999).  <doi:10.3168/jds.S0022-0302(99)75464-0> (30) Diphasic (Grossman
 1999): Grossman, M., S.M. Hartz, and W.J. Koops (1999).
 <doi:10.3168/jds.S0022-0302(99)75464-0> (31) Diphasic Power Transformed
 (Grossman 1999): Grossman, M., S.M. Hartz, and W.J. Koops (1999).
 <doi:10.3168/jds.S0022-0302(99)75464-0> (32) Legendre Polynomial (3th
 order): Jakobsen J.H., P. Madsen, J. Jensen, J. Pedersen, L.G. Christensen,
 and D.A. Sorensen (2002).  <doi:10.3168/jds.S0022-0302(02)74231-8> (33)
 Legendre Polynomial (4th order): Jakobsen J.H., P. Madsen, J. Jensen, J.
 Pedersen, L.G. Christensen, and D.A. Sorensen (2002).
 <doi:10.3168/jds.S0022-0302(02)74231-8> (34) Legendre + Wilmink (Lidauer):
 Lidauer, M. and E.A. Mantysaari (1999).
 <https://journal.interbull.org/index.php/ib/article/view/417> (35) Natural
 Cubic Spline (3 percentiles): White, I.M.S., R. Thompson, and S.
 Brotherstone (1999).  <doi:10.3168/jds.S0022-0302(99)75277-X> (36) Natural
 Cubic Spline (4 percentiles): White, I.M.S., R. Thompson, and S.
 Brotherstone (1999).  <doi:10.3168/jds.S0022-0302(99)75277-X> (37) Natural
 Cubic Spline (5 percentiles): White, I.M.S., R. Thompson, and S.
 Brotherstone (1999) <doi:10.3168/jds.S0022-0302(99)75277-X> (38) Natural
 Cubic Spline (defined knots according to Harrell 2001): Jr. Harrell, F.E.
 (2001).  <https://link.springer.com/book/10.1007/978-3-319-19425-7> The
 selection criteria measure the goodness of fit of the model and include:
 Residual standard error (RSE), R-square (R2), log likelihood, Akaike
 information criterion (AIC), Akaike information criterion corrected (AICC),
 Bayesian Information Criterion (BIC), Durbin Watson coefficient (DW).  The
 following model parameters are included: Residual sum of squares (RSS),
 Residual standard deviation (RSD), F-value (F) based on F-ratio test.

Package: r-cran-lacunaritycovariance
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 557
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spatstat, r-cran-rcpproll, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.random
Suggests: r-cran-cubature, r-cran-sf, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lacunaritycovariance_1.1-7-1.ca2004.1_all.deb
Size: 434932
MD5sum: 91c5193243e98f6434fc370e16506452
SHA1: 02048dea300972ca9a91f03fec1bed20d5ea8e25
SHA256: 6cdcb9507929b0759935a6624af61ef2faedb5335d2c7c2a6945b4973e027d38
SHA512: 0c183fc28ef789fe7f4bb9e80b6bf57e9f57d881b7f10211b0377846df115af27a32d3ed48849f1e4e53e9771a1c4b48cb9c8dc8986bfdaa8bce6c06106d55bf
Homepage: https://cran.r-project.org/package=lacunaritycovariance
Description: CRAN Package 'lacunaritycovariance' (Gliding Box Lacunarity and Other Metrics for 2D Random ClosedSets)
 Functions for estimating the gliding box lacunarity (GBL), covariance, and
 pair-correlation of a random closed set (RACS) in 2D from a binary coverage
 map (e.g. presence-absence land cover maps).  Contains a number of
 newly-developed covariance-based estimators of GBL (Hingee et al., 2019)
 <doi:10.1007/s13253-019-00351-9> and balanced estimators, proposed by Picka
 (2000) <http://www.jstor.org/stable/1428408>, for covariance, centred
 covariance, and pair-correlation.  Also contains methods for estimating
 contagion-like properties of RACS and simulating 2D Boolean models.  Binary
 coverage maps are usually represented as raster images with pixel values of
 TRUE, FALSE or NA, with NA representing unobserved pixels.  A demo for
 extracting such a binary map from a geospatial data format is provided.
 Binary maps may also be represented using polygonal sets as the foreground,
 however for most computations such maps are converted into raster images.
 The package is based on research conducted during the author's PhD studies.

Package: r-cran-lad
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1940
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-lad_0.1.0-1.ca2004.1_all.deb
Size: 1795756
MD5sum: e22858552c753cdc95cea98326fc4c51
SHA1: 4cb2f25f432657e09ed562a324374db6de6f8a03
SHA256: 0a0826b24f8694fa6adc179e3ee62eebdbe0a5b1d8c32e8c969154df6b6abcb3
SHA512: b4c389321e00424f2c42d355ec38092818a985c5b7e85ee94e2e554106281dfa3a6d67f2f9b213ef69b55b240f12a5c65fc9fe10315a81d41b5b0367f25ee0b1
Homepage: https://cran.r-project.org/package=LAD
Description: CRAN Package 'LAD' (Derive Leaf Angle Distribution (LAD) from Measured LeafInclination Angles)
 Calculate mean statistics and leaf angle distribution type from measured
 leaf inclination angles. LAD distribution is fitted using a two-parameters
 (mu, nu) Beta distribution and compared with six theoretical LAD
 distributions. Additional information is provided in Chianucci and Cesaretti
 (2022) <doi:10.1101/2022.10.28.513998>.

Package: r-cran-ladder
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-flextable, r-cran-gargle, r-cran-httpuv, r-cran-httr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ladder_0.0.3-1.ca2004.1_all.deb
Size: 235088
MD5sum: e5df9193dd8e6d79c26336c21a5d4549
SHA1: 25b92f0f1642a9bd2e2c61aeb8c1c2823d6482cd
SHA256: 48278d2d7694146fc875e6ae24bf42c9459e53753d95e1d7a55afcd7e9f68d64
SHA512: bb604472d032c93d1e646b45007bb2499c8e534d42bf34eabaa21cf8fc1701a596926894b04ddbf5ae03d5023de04b5f5542a2c4ce768e1edcc4ae78711fb68d
Homepage: https://cran.r-project.org/package=ladder
Description: CRAN Package 'ladder' (Get on to the Slides)
 Create tables from within R directly on Google Slides presentations.
 Currently supports matrix, data.frame and 'flextable' objects.

Package: r-cran-ladderfuelsr
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1791
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gdata, r-cran-ggplot2, r-cran-magrittr, r-cran-segmented, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ladderfuelsr_0.0.7-1.ca2004.1_all.deb
Size: 653516
MD5sum: f7f67dca8b5c8a0b82bda45e316dc90b
SHA1: 30d2418e4596416ac3fd2bd8db89b4208cb44532
SHA256: c1460dfc9f35062f8b8d82e07dba19a1ef95433bf8e1bc72843483d5459b0c7a
SHA512: 967d9306f7b54df6e1ac125ac513e97393aba99afed2500c909d8183e9931e31070cca52a4399fcb81f84ef7ea1363e3e8c929a842c9997931da2eac25a42c8b
Homepage: https://cran.r-project.org/package=LadderFuelsR
Description: CRAN Package 'LadderFuelsR' (Automated Tool for Vertical Fuel Continuity Analysis usingAirborne Laser Scanning Data)
 Set of tools for analyzing vertical fuel continuity at the tree level using
 Airborne Laser Scanning data. The workflow consisted of: 1) calculating the
 vertical height profiles of each segmented tree; 2) identifying gaps and
 fuel layers; 3) estimating the distance between fuel layers; and 4)
 retrieving the fuel layers base height and depth. Additionally, other
 functions recalculate previous metrics after considering distances greater
 than certain threshold. Moreover, the package calculates: i) the percentage
 of Leaf Area Density comprised in each fuel layer, ii) remove fuel layers
 with Leaf Area Density (LAD) percentage less than 10, and iii) recalculate
 the distances among the reminder ones. On the other hand, it identifies the
 crown base height (CBH) based on different criteria: the fuel layer with the
 highest LAD percentage and the fuel layers located at the largest- and at
 the last-distance. When there is only one fuel layer, it also identifies the
 CBH performing a segmented linear regression (breaking points) on the
 cumulative sum of LAD as a function of height. Finally, a collection of
 plotting functions is developed to represent: i) the initial gaps and fuel
 layers; ii) the fuels base height, depths and gaps with distances greater
 than certain threshold and, iii) the CBH based on different criteria. The
 methods implemented in this package are original and have not been published
 elsewhere.

Package: r-cran-laeken
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3303
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-mass
Filename: pool/dists/focal/main/r-cran-laeken_0.5.3-1.ca2004.1_all.deb
Size: 3095780
MD5sum: 3970c60233dc7d377d51565ed92f641f
SHA1: 53f1cc27d649730a3fc6b0f2eff1132c350bab4d
SHA256: 9b6a91d3c461a13b48a9c196209867f74e381945fae9d3cd4562b5a5fbdb5358
SHA512: 22d8ea75decbc442291e26a5150e00142f757e999d2042cd22abe8ae8f670808196cf434295f25a401fc4aaccc60cda1fe07b22392351ca30a5b412393a25c38
Homepage: https://cran.r-project.org/package=laeken
Description: CRAN Package 'laeken' (Estimation of Indicators on Social Exclusion and Poverty)
 Estimation of indicators on social exclusion and poverty, as well as Pareto
 tail modeling for empirical income distributions.

Package: r-cran-lagged
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lagged_0.3.2-1.ca2004.1_all.deb
Size: 394388
MD5sum: ede11e36bee5e2ab1353ea0368578640
SHA1: d1e02d20ee67be1ec35c1f14a53830de95b7f38e
SHA256: c93cd73b8425b4888d637564cd0882255cd3ef7355ff81011ed8bd44f552525e
SHA512: 4ead6eb16b86b67211aeb2640c5b1032a9943dedf15638c4dc4f32621d93849e46750c3fc1284da970619928a906d9a473389d1c9d4d7feb5c8b14f761173a9f
Homepage: https://cran.r-project.org/package=lagged
Description: CRAN Package 'lagged' (Classes and Methods for Lagged Objects)
 Provides classes and methods for objects, whose indexing naturally starts
 from zero. Subsetting, indexing and mathematical operations are defined
 naturally between lagged objects and lagged and base R objects. Recycling is
 not used, except for singletons.  The single bracket operator doesn't drop
 dimensions by default.

Package: r-cran-lagosne
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1865
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rappdirs, r-cran-lazyeval, r-cran-purrr, r-cran-magrittr, r-cran-sf, r-cran-curl, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-memoise, r-cran-rlang, r-cran-progress, r-cran-qs, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-r.rsp, r-cran-printr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-lagosne_2.0.3-1.ca2004.1_all.deb
Size: 551804
MD5sum: d598c0fd149e715a8d7043b7acb35b4c
SHA1: 3fde3387a2f3e564310644ea169cf886ef81bc23
SHA256: 1882983cfd6cc9c57d5afe7b9ce1b3db19b6395bad61a3a26bb998d140e0ad1e
SHA512: 50a0075fca3a79e27280a0471d2ec45b324b8d6b7dff18db78b7e97ec6e47ae7301b2a456ee7277b38231e4c2c66e3d4c6e4cf8cd8b0d4a7a375a5b4fa29d6c3
Homepage: https://cran.r-project.org/package=LAGOSNE
Description: CRAN Package 'LAGOSNE' (Interface to the Lake Multi-Scaled Geospatial and TemporalDatabase)
 Client for programmatic access to the Lake Multi-scaled Geospatial and
 Temporal database <https://lagoslakes.org>, with functions for accessing
 lake water quality and ecological context data for the US.

Package: r-cran-lagsarlmtree
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8526
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-spatialreg, r-cran-formula
Filename: pool/dists/focal/main/r-cran-lagsarlmtree_1.0-1-1.ca2004.1_all.deb
Size: 8687192
MD5sum: a8e7dc66efbd6ffdb1091a16a41b4aa6
SHA1: 629db48a64acef59cc7d77a0bb52720956f862c3
SHA256: ec413c804e974150fa319ce26a66271597be33f4b39ab107615ab4b4379c3653
SHA512: 90ad52626be1841a1faee32719cdd099229ea04c99572e4d8aae1f69490b49914c3c265cc9b614ca43c60f45254db42666adf2f2ac310b83fa97d450f17847d5
Homepage: https://cran.r-project.org/package=lagsarlmtree
Description: CRAN Package 'lagsarlmtree' (Spatial Lag Model Trees)
 Model-based linear model trees adjusting for spatial correlation using a
 simultaneous autoregressive spatial lag, Wagner and Zeileis (2019)
 <doi:10.1111/geer.12146>.

Package: r-cran-lagsequential
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lagsequential_0.1.1-1.ca2004.1_all.deb
Size: 153916
MD5sum: 0fb7f8e9efceea44a206e9fe5016193e
SHA1: 6e16f6b20329970a64fc2d8139f25bdce75e46dd
SHA256: 218b5adf81a68fbff9cd273438235b29c557ce445f63a5961c40cb9115a9db9a
SHA512: 31c4583a72b7a3d9479531ff0905a664facad0dfd9d2924d4b7208807fa2fc34eb69645ed6b09ecb18206c12645d100d5338c2fa3d9815235c19d50d9ffb85b8
Homepage: https://cran.r-project.org/package=LagSequential
Description: CRAN Package 'LagSequential' (Lag-Sequential Categorical Data Analysis)
 Lag-sequential analysis is a method of assessing of patterns (what tends to
 follow what?) in sequences of codes. The codes are typically for discrete
 behaviors or states. The functions in this package read a stream of codes,
 or a frequency transition matrix, and produce a variety of lag sequential
 statistics, including transitional frequencies, expected transitional
 frequencies, transitional probabilities, z values, adjusted residuals,
 Yule's Q values, likelihood ratio tests of stationarity across time and
 homogeneity across groups or segments, transformed kappas for unidirectional
 dependence, bidirectional dependence, parallel and nonparallel dominance,
 and significance levels based on both parametric and randomization tests.
 The methods are described in Bakeman & Quera (2011)
 <doi:10.1017/CBO9781139017343>, O'Connor (1999) <doi:10.3758/BF03200753>,
 Wampold & Margolin (1982) <doi:10.1037/0033-2909.92.3.755>, and Wampold
 (1995, ISBN:0-89391-919-5).

Package: r-cran-lahman
Architecture: all
Version: 12.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-lattice, r-cran-ggplot2, r-cran-googlevis, r-cran-data.table, r-cran-vcd, r-cran-reshape2, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-car
Filename: pool/dists/focal/main/r-cran-lahman_12.0-0-1.ca2004.1_all.deb
Size: 6115844
MD5sum: ee09b3d62a8fc25f7d6d00b3b5be6433
SHA1: 2504add79ede0fff5f31c17c428e06c4585c4010
SHA256: a8075682319c06c5f64b4669e7bd831b956d131160965cd0a533f133aede9a7f
SHA512: b00c8b9077482edbdd605664967c6324b7a9e951d167b2d8b65b534021d8f43ff0febff82cdfaeba2c0f965cca1384e8e2a8fda4349b26d09c96d7f45c281e4d
Homepage: https://cran.r-project.org/package=Lahman
Description: CRAN Package 'Lahman' (Sean 'Lahman' Baseball Database)
 Provides the tables from the 'Sean Lahman Baseball Database' as a set of R
 data.frames. It uses the data on pitching, hitting and fielding performance
 and other tables from 1871 through 2023, as recorded in the 2024 version of
 the database. Documentation examples show how many baseball questions can be
 investigated.

Package: r-cran-lair
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-terra
Filename: pool/dists/focal/main/r-cran-lair_0.3.0-1.ca2004.1_all.deb
Size: 641900
MD5sum: f2cf4287c2f7ae78c2ed523ae4412929
SHA1: b137b4c3118e39daf72d05a2eee3d28bff2f5dde
SHA256: 943cb73bc93e713d292d417eb4d93a0e20a49ea6dc075ccf99efddf58991be29
SHA512: f6a9c65172905adb6221d6243de42196117682552b2ed2874f7be71e02a92cc86fbd973b89add7ce1686b672d6d19abf4a9a0ed338e53eca17fe5606d3e934bc
Homepage: https://cran.r-project.org/package=LAIr
Description: CRAN Package 'LAIr' (Converting NDVI to LAI of Field, Proximal and Satellite Data)
 Convert Leaf Area Index (LAI) from the Normalized Difference Vegetation
 Index (NDVI) using available equations from literature.  Detailed
 description of conversion equations in Bajocco et al. 2022
 <doi:10.3390/rs14153554>.

Package: r-cran-lakemorpho
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-geosphere, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-lakemorpho_1.3.2-1.ca2004.1_all.deb
Size: 420080
MD5sum: 87a543b4afc14554af3e15de3a4b56f9
SHA1: 12d27135f0c4c3ddbf25742c47124e87e3147ac6
SHA256: a318d12d8ca93c32e2b6e2ad0d4db79028cdd8475b015c0aa9c5011c451f77df
SHA512: 06c05efd10944344dedafe3c02b3972ce90b8608b1631a217f74c25d66489bc3fd176ba63bd703b9cc80629f7828123b98a5eddaa6c12617df7aacdb564ee232
Homepage: https://cran.r-project.org/package=lakemorpho
Description: CRAN Package 'lakemorpho' (Lake Morphometry Metrics)
 Lake morphometry metrics are used by limnologists to understand, among other
 things, the ecological processes in a lake. Traditionally, these metrics are
 calculated by hand, with planimeters, and increasingly with commercial GIS
 products. All of these methods work; however, they are either outdated,
 difficult to reproduce, or require expensive licenses to use. The
 'lakemorpho' package provides the tools to calculate a typical suite of
 these metrics from an input elevation model and lake polygon. The metrics
 currently supported are: fetch, major axis, minor axis, major/minor axis
 ratio, maximum length, maximum width, mean width, maximum depth, mean depth,
 shoreline development, shoreline length, surface area, and volume.

Package: r-cran-laketemps
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1099
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-laketemps_0.5.1-1.ca2004.1_all.deb
Size: 586252
MD5sum: eefeb02a546711edb85d843bf1bdfbaa
SHA1: daa49f7ff4087c71cb2262f5501b2a2ab3856571
SHA256: 5b1dfd99eac222a2603d81b7ad582c0af551dc91dcf45d313bfc7d61d89b8ddd
SHA512: 985a2bbfb801c7fff1c1731de7d04a023ef9121a552370e4b4e770a16164884e238f82c6cd4b933d1382294d3222536b88a4b1099a1b1149b59f57f5c2fdc23b
Homepage: https://cran.r-project.org/package=laketemps
Description: CRAN Package 'laketemps' (Lake Temperatures Collected by Situ and Satellite Methods from1985-2009)
 Lake temperature records, metadata, and climate drivers for 291 global lakes
 during the time period 1985-2009. Temperature observations were collected
 using satellite and in situ methods. Climatic drivers and geomorphometric
 characteristics were also compiled and are included for each lake. Data are
 part of the associated publication from the Global Lake Temperature
 Collaboration project (http://www.laketemperature.org). See
 citation('laketemps') for dataset attribution.

Package: r-cran-lakhesis
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-ca, r-cran-ggplot2, r-cran-rdpack, r-cran-shiny, r-cran-shinydashboard, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-lakhesis_0.0.1-1.ca2004.1_all.deb
Size: 126040
MD5sum: 38558adb36d252fe99298ee8aac5cd91
SHA1: 55ed3ae5b062cbce851c34a32d0cec344cf9a02e
SHA256: a3872c8d37d6c9a2823a4d82e915771872ac046dda98df525ac680a6cf23f92b
SHA512: ec7705e1f73e0612c09d5a665831de2bfe5d7c3c39d5fc4105d6cc4bd30bc3e082579b6566cc558403b2f17fa85fd576f96fa908b8bd7b94f81df284db0cda9d
Homepage: https://cran.r-project.org/package=lakhesis
Description: CRAN Package 'lakhesis' (Consensus Seriation for Binary Data)
 Determining consensus seriations for binary incidence matrices, using a
 two-step process of Procrustes-fit correspondence analysis for heuristic
 selection of partial seriations and iterative regression to establish a
 single consensus. Contains the Lakhesis Calculator, a graphical platform for
 identifying seriated sequences. Collins-Elliott (2024)
 <https://volweb.utk.edu/~scolli46/sceLakhesis.pdf>.

Package: r-cran-lambda.r
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formatr
Suggests: r-cran-testit
Filename: pool/dists/focal/main/r-cran-lambda.r_1.2.4-1.ca2004.1_all.deb
Size: 111252
MD5sum: bb9c959ad91491c7e9a37e5767b3bf0c
SHA1: 0bfc6c26547b5ef5cff311be2209deec23e6a834
SHA256: a11a56409a65b21b415798fe6940c3d0826db6161fc123776076dfaa66603276
SHA512: d6daee7bb39799eb05ba345bd4677dbe4eb05402a5ec29f873626f7003bd3cffcf44ed314e26ec3fb7e6385e05d4c33de18ef2eedf1ad484807ba5ef250e7f18
Homepage: https://cran.r-project.org/package=lambda.r
Description: CRAN Package 'lambda.r' (Modeling Data with Functional Programming)
 A language extension to efficiently write functional programs in R. Syntax
 extensions include multi-part function definitions, pattern matching, guard
 statements, built-in (optional) type safety.

Package: r-cran-lambda4
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mice, r-cran-gparotation, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lambda4_3.0-1.ca2004.1_all.deb
Size: 107780
MD5sum: 922e493ed1e63fc6f76d16502a6d31dd
SHA1: 3bd376d755ac6064f95b2e657a0d25fe5f168cc4
SHA256: f6fd35e8b7362c73f92dae3aebcfb013ce03c3848126d56fb00b9bf4815483e0
SHA512: c05ce928c5dc5a2af0ca328cbecbc1be0a84d5e2756cef21537c686a052cadfa1515523b7d9aeb70463b7b978944f8f705ef7214a6604bd84f803ea2791e3957
Homepage: https://cran.r-project.org/package=Lambda4
Description: CRAN Package 'Lambda4' (Collection of Internal Consistency Reliability Coefficients)
 Currently the package includes 14 methods for calculating internal
 consistency reliability but is still growing.  The package allows users
 access to whichever reliability estimator is deemed most appropriate for
 their situation.

Package: r-cran-lambdats
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-purrr, r-cran-abind, r-cran-ggplot2, r-cran-readr, r-cran-stringr, r-cran-lubridate, r-cran-narray, r-cran-fancova, r-cran-imputets, r-cran-modeest, r-cran-scales, r-cran-tictoc, r-cran-bizdays, r-cran-torch
Filename: pool/dists/focal/main/r-cran-lambdats_1.1-1.ca2004.1_all.deb
Size: 220088
MD5sum: e0e57ab661ee91b72ef1dadb9da04f7e
SHA1: 1e7ec923d6076a43757fbded8808ce4a3890fbaf
SHA256: c875335bc55d8997bcca216901e18bf5dfdac0706461e1d7d0a61fa7e860d720
SHA512: 5d8411f966d39e3c2d851238753c3a892e4f4c8899efe9c5ce8fc0fab6b46b44b2b125dc196f6a69d29989543891d48d05ebabbcaafb2e7024b2d2b238e1df9e
Homepage: https://cran.r-project.org/package=lambdaTS
Description: CRAN Package 'lambdaTS' (Variational Seq2Seq Model with Lambda Transformer for TimeSeries Analysis)
 Time series analysis based on lambda transformer and variational seq2seq,
 built on 'Torch'.

Package: r-cran-lambdr
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-logger
Suggests: r-cran-withr, r-cran-testthat, r-cran-webmockr, r-cran-knitr, r-cran-rmarkdown, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-lambdr_1.2.5-1.ca2004.1_all.deb
Size: 315272
MD5sum: 048c01d24f6fee77448bd466feb3550e
SHA1: c221ae5471c9e48562f2c9aeffe4987fac7d3dd1
SHA256: c38e3f7299f687e692e5b2944528fa22b37311d52ce0415c02789632a9c903c5
SHA512: d7aa3617fe5e3a0bc51fb725bbaaeee8f2636394d5fe435da85c2f526d99a3dbe3da6b1b246dd95b4703235c35be6af95d5c5f02ea0ea0e7f1f7efd64e269589
Homepage: https://cran.r-project.org/package=lambdr
Description: CRAN Package 'lambdr' (Create a Runtime for Serving Containerised R Functions on 'AWSLambda')
 Runtime for serving containers that can execute R code on the 'AWS Lambda'
 serverless compute service <https://aws.amazon.com/lambda/>.  Provides the
 necessary functionality for handling the various endpoints required for
 accepting new input and sending responses.

Package: r-cran-laminr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 643
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-lifecycle, r-cran-pak, r-cran-purrr, r-cran-r.utils, r-cran-r6, r-cran-reticulate, r-cran-rlang, r-cran-withr
Suggests: r-cran-anndata, r-cran-arrow, r-cran-jsonlite, r-cran-knitr, r-cran-magick, r-cran-nanoparquet, r-cran-readr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rsvg, r-cran-seurat, r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-laminr_1.1.1-1.ca2004.1_all.deb
Size: 484040
MD5sum: 6579661aa3b2074d4d554cf22d5448db
SHA1: 31ce802eecf2fcfff1d88134cad1b1e3d057e4b1
SHA256: 1e59f12e0ee5299a6e28b7fd371b6c4905e70e5081ca3475b10cd530cee5e8c1
SHA512: cc7db8134ab36987189a1f78c6ea5d99dcd54387bdcd2e9a3859a2757c8448d7bcd27e75c360489f0f352409063ffd665dbf4dce3b5f812121838b0d660ee940
Homepage: https://cran.r-project.org/package=laminr
Description: CRAN Package 'laminr' (Client for 'LaminDB')
 Interact with 'LaminDB'. 'LaminDB' is an open-source data framework for
 biology. This package allows you to query and download data from 'LaminDB'
 instances.

Package: r-cran-lamme
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lamme_0.0.1-1.ca2004.1_all.deb
Size: 280900
MD5sum: c0c7e709fa18ba5747484e2723505880
SHA1: e817a7acced43b92c5103bb063eb76d6eb21f992
SHA256: 158bdd348012bfa519da2ee9fb48011dd9c8bfe8b77cfe1993f11f75510a4c5b
SHA512: c769bfc33a525a6709079dd3f72b3c777b493734fe7d4aed05a432d71c77917c56a92aa89d17fc5dfe9becf20aa44eddeffa42d6a65ed3260e0255dad5a818c0
Homepage: https://cran.r-project.org/package=lamme
Description: CRAN Package 'lamme' (Log-Analytic Methods for Multiplicative Effects)
 Log-analytic methods intended for testing multiplicative effects.

Package: r-cran-lancor
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-acepack, r-cran-arrangements, r-cran-boot, r-cran-sn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lancor_0.1.2-1.ca2004.1_all.deb
Size: 48000
MD5sum: 9fe9dac800efa861cd4c791b2bdb344d
SHA1: ec95400e408e352b9ebb7f705534d97d8a571f3d
SHA256: 0dba46324c505d477385d6b26f5a53b98af202e8734d174e41360c79802cf30f
SHA512: 9d456db4656381b6613d223378ebdfe3d1e2ab7e40f893b1a73b5f4debd3966462969ab8ced57cbe9e581de4f6d897e69910aecc4970f7238354430c010b3948
Homepage: https://cran.r-project.org/package=lancor
Description: CRAN Package 'lancor' (Statistical Inference via Lancaster Correlation)
 Implementation of the methods described in Holzmann, Klar (2024)
 <doi:10.48550/arXiv.2303.17872>. Lancaster correlation is a correlation
 coefficient which equals the absolute value of the Pearson correlation for
 the bivariate normal distribution, and is equal to or slightly less than the
 maximum correlation coefficient for a variety of bivariate distributions.
 Rank and moment-based estimators and corresponding confidence intervals are
 implemented, as well as independence tests based on these statistics.

Package: r-cran-landcomp
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1147
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-future, r-cran-future.apply, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-landcomp_0.0.5-1.ca2004.1_all.deb
Size: 744068
MD5sum: 8e5e238adb73fad98e8f67517af977d7
SHA1: 12db0f6895df4d0be658c32a16ca62b7fbdfcd6e
SHA256: 939f43b5217a9e6b73c2f612ae76d3e29589762d6b407bed95c3643ea1e9436a
SHA512: 87b0a53f350a94ab4242129d698f4aee3373b2110b78dd6626a179b56e882a84fd963142da5b9a50f315e883ee54c1c2a9d21c26b660d393eacbf42562933fa4
Homepage: https://cran.r-project.org/package=LandComp
Description: CRAN Package 'LandComp' (Analysing Landscape Composition and Structure at Multiple Scales)
 Changes of landscape diversity and structure can be detected soon if relying
 on landscape class combinations and analysing patterns at multiple scales.
 'LandComp' provides such an opportunity, based on Juhász-Nagy's functions
 (Juhász-Nagy P, Podani J 1983 <doi:10.1007/BF00129432>). Functions can
 handle multilayered data.  Requirements of the input: binary data contained
 by a regular square or hexagonal grid, and the grid should have projected
 coordinates.

Package: r-cran-landest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-landest_1.2-1.ca2004.1_all.deb
Size: 272924
MD5sum: 4a954fada818fa97c30d0e1684e7270b
SHA1: a762f9db6faec6ec0b69d9a0137d0d10b71f33c2
SHA256: 6908b9fee4582611159212713415fe0ac0fd6b0be12912f33ef5b9c953abf1ee
SHA512: 71171b2d3059d6d99f25ecf2972530e41222c7de47c51a6935bf6cda82ef6cb614397072489cea50c27a2990655240d4c6de5eee191abbe5f5b823dd9dcb86d5
Homepage: https://cran.r-project.org/package=landest
Description: CRAN Package 'landest' (Landmark Estimation of Survival and Treatment Effect)
 Provides functions to estimate survival and a treatment effect using a
 landmark estimation approach.

Package: r-cran-landform
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-landform_0.2-1.ca2004.1_all.deb
Size: 21872
MD5sum: 87f2b8fbedfdbd866bf0f38ee144d26c
SHA1: c7afcd8ec1ee4c4b4c93fb2e434712cc55c17258
SHA256: 4e2bbcc3b2c643599198a531e0d1f4fd418ad4aabd53af59d9a6e2752d904e95
SHA512: 3f49380685761374b3dd6c36941b651c271ed4cd60d17e56ea1062aab4b30263f711bdee0051bc21e651ff47f50b5de4ff73de7750408982c1d74893edb022a2
Homepage: https://cran.r-project.org/package=landform
Description: CRAN Package 'landform' (Topographic Position Index-Based Landform Classification)
 Provides a function for classifying a landscape into different categories
 based on the Topographic Position Index (TPI) and slope. It offers two types
 of classifications: Slope Position Classification, and Landform
 Classification. The function internally calculates the TPI for the given
 landscape and then uses it along with the slope to perform the
 classification. Optionally, descriptive statistics for every class are
 calculated and plotted. The classifications are useful for identifying the
 position of a location on a slope and for identifying broader landform
 types.

Package: r-cran-landmarking
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 788
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-riskregression, r-cran-dplyr, r-cran-pec, r-cran-prodlim, r-cran-survival, r-cran-mstate, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-jm
Filename: pool/dists/focal/main/r-cran-landmarking_1.0.0-1.ca2004.1_all.deb
Size: 587500
MD5sum: f1306c6353ffad8ebb3e8c85a766f954
SHA1: aaa0b6f4154b11670f9d4af3a47b4b308ed53814
SHA256: ea362a5c28797ccd54444e085ca2d7820a2d0ba5c7966e930552de255845e043
SHA512: ad89d96f36130caa4605108d95ac428c2435f381f3e8310d785207690d0badabbd01e4ed6352a27aa6a9419af8b0a1ef15a4f584d42870a54a3dbcbf22af4055
Homepage: https://cran.r-project.org/package=Landmarking
Description: CRAN Package 'Landmarking' (Analysis using Landmark Models)
 The landmark approach allows survival predictions to be updated dynamically
 as new measurements from an individual are recorded.  The idea is to set
 predefined time points, known as "landmark times", and form a model at each
 landmark time using only the individuals in the risk set. This package
 allows the longitudinal data to be modelled either using the last
 observation carried forward or linear mixed effects modelling. There is also
 the option to model competing risks, either through cause-specific Cox
 regression or Fine-Gray regression.  To find out more about the methods in
 this package, please see
 <https://isobelbarrott.github.io/Landmarking/articles/Landmarking>.

Package: r-cran-landmix
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-landmix_1.0-1.ca2004.1_all.deb
Size: 68804
MD5sum: 4329157de01a9f2ac571532bb891cfe8
SHA1: fcb581f4957c67a92879c8aef70119335bda8e30
SHA256: fde1523a7410c0d9fcc8bb7d0dac5c60de3ed5b37d65f717219153f6bbdd5795
SHA512: cd23c1f68fcc9058efc7c5c9a0ec18498d90586a1aa5a31cb663a610dc4968dafd2aebdf8f80c0364754ddfc346ce8f0cddecab2baefda156cf924b3d70aa229
Homepage: https://cran.r-project.org/package=landmix
Description: CRAN Package 'landmix' (Landmark Prediction for Mixture Data)
 Non-parametric prediction of survival outcomes for mixture data that
 incorporates covariates and a landmark time. Details are described in Garcia
 (2021) <doi:10.1093/biostatistics/kxz052>.

Package: r-cran-landmulti
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-landpred, r-cran-nmof, r-cran-emdbook, r-cran-snow
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-landmulti_0.5.0-1.ca2004.1_all.deb
Size: 180824
MD5sum: 5bf7885fa584c750e43ba804c3c69510
SHA1: 0d465668a4bc6128c377a7b5b3a5a89338943f6b
SHA256: dcdb50321208a9260b95992da0b3999d059d04832474a87854cb2fdbba23916c
SHA512: 0dc15af663153836327e80f5090e5edc7a0148df0a170eba95f2958299c75f7aa6ded4ebaa4e31a15ddf25974eddcc240ecec4905fce28b6cdfd0550a9982103
Homepage: https://cran.r-project.org/package=landmulti
Description: CRAN Package 'landmulti' (Landmark Prediction with Multiple Short-Term Events)
 Contains functions for a flexible varying-coefficient landmark model by
 incorporating multiple short-term events into the prediction of long-term
 survival probability. For more information about landmark prediction please
 see Li, W., Ning, J., Zhang, J., Li, Z., Savitz, S.I., Tahanan, A.,
 Rahbar.M.H., (2023+). "Enhancing Long-term Survival Prediction with Multiple
 Short-term Events: Landmarking with A Flexible Varying Coefficient Model".

Package: r-cran-landpred
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-landpred_1.2-1.ca2004.1_all.deb
Size: 159060
MD5sum: 6b3591783f6da41ca211bed1546babb7
SHA1: 0c6eb4975e33f0c41082d0df84df7ccd05533b8f
SHA256: a756fb494da4e42c6c504dbece504dae422796939a1c411d8d558d822c63997e
SHA512: a26e4b2db3fd9f22b931f6e90bdfc3175eab75fa5408d0297b19dac408f9aaf1ed99c426b6546db980017e2a9fc9c913dbe4ee9e0a10aef05a793388dcb2da9c
Homepage: https://cran.r-project.org/package=landpred
Description: CRAN Package 'landpred' (Landmark Prediction of a Survival Outcome)
 Provides functions for landmark prediction of a survival outcome
 incorporating covariate and short-term event information. For more
 information about landmark prediction please see: Parast, Layla, Su-Chun
 Cheng, and Tianxi Cai. Incorporating short-term outcome information to
 predict long-term survival with discrete markers. Biometrical Journal 53.2
 (2011): 294-307, <doi:10.1002/bimj.201000150>.

Package: r-cran-landsat8
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 848
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgdal, r-cran-sp
Filename: pool/dists/focal/main/r-cran-landsat8_0.1-10-1.ca2004.1_all.deb
Size: 301304
MD5sum: 0f2da7ff9306cc76232fdd91d5e5d560
SHA1: 32d0a9c28273ef54d6860485e6f0b9141e6ac3a0
SHA256: 12affd95d66725d837a69b7bef2d06179ebca07e298b12d21ee91ccfd3f295bb
SHA512: ce2eac23b5685e383f9fdf505a044b26e8554f2a06bf51057548981a2260a61302440de7649af71f6929f8810e0d4d238ec16276df7d318d76a875b6de08c30a
Homepage: https://cran.r-project.org/package=landsat8
Description: CRAN Package 'landsat8' (Landsat 8 Imagery Rescaled to Reflectance, Radiance and/orTemperature)
 Functions for converted Landsat 8 multispectral satellite imagery rescaled
 to the top of atmosphere (TOA) reflectance, radiance and/or at satellite
 brightness temperature using radiometric rescaling coefficients provided in
 the metadata file (MTL file).

Package: r-cran-landsat
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-lmodel2, r-cran-mgcv
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-landsat_1.1.2-1.ca2004.1_all.deb
Size: 1092524
MD5sum: 1a4120ae85ca5c325db037adc5cac737
SHA1: 4703703e0c4f9e29ce18a06448caa67e73d50d34
SHA256: 8d943349472fa2c859a8fdac3138c6ff4c1cb79cc364089558b7d814206d031a
SHA512: 52df6a07d4dbe8a6a63e0d630cdf128f37f063b32d634d0a4c012668638116d34f89d88fbc06d14cde3f11201cd5af26dc0f3ec0983beaf1b81fd65cd4ff3a68
Homepage: https://cran.r-project.org/package=landsat
Description: CRAN Package 'landsat' (Radiometric and Topographic Correction of Satellite Imagery)
 Processing of Landsat or other multispectral satellite imagery. Includes
 relative normalization, image-based radiometric correction, and topographic
 correction options. The original package description was published as Goslee
 (2011) <doi:10.18637/jss.v043.i04>, and details of the topographic
 corrections in Goslee (2012) <doi:10.14358/PERS.78.9.973>.

Package: r-cran-langevitour
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-crosstalk, r-cran-rann, r-cran-assertthat
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-ggally, r-cran-dt, r-cran-plotly, r-cran-palmerpenguins, r-cran-tourr, r-cran-geozoo, r-cran-liminal, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-langevitour_0.8.1-1.ca2004.1_all.deb
Size: 319744
MD5sum: 55e7a6945e6f802cebbf5427a9f555d3
SHA1: 0da371e01aadf323fc7c85106b02adb9aa928e7c
SHA256: d5003b3ec2697609ce716febc49ee1af8275c1b127cd3c76b334b02136d66899
SHA512: 467a98b118f0e0cd655f3c414767eafbad42972e10b16824d82bf56e8f44bc56ea7d581d29f073b135d67ef3b2f23348e40012d8ebe62c5f64a607996c1041df
Homepage: https://cran.r-project.org/package=langevitour
Description: CRAN Package 'langevitour' (Langevin Tour)
 An HTML widget that randomly tours 2D projections of numerical data. A
 random walk through projections of the data is shown. The user can
 manipulate the plot to use specified axes, or turn on Guided Tour mode to
 find an informative projection of the data. Groups within the data can be
 hidden or shown, as can particular axes. Points can be brushed, and the
 selection can be linked to other widgets using crosstalk. The underlying
 method to produce the random walk and projection pursuit uses Langevin
 dynamics. The widget can be used from within R, or included in a
 self-contained R Markdown or Quarto document or presentation, or used in a
 Shiny app.

Package: r-cran-languagelayer
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-attempt, r-cran-curl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-languagelayer_1.2.4-1.ca2004.1_all.deb
Size: 28996
MD5sum: 0eff8a9f36ed4136be9a960b8897e54f
SHA1: fa56bbaf858d4cd6bb20d688773952993e6d9fcd
SHA256: 1105e6dff0847a5d8bf3af324b3fc34d6c09313597928280a90b870622498b0c
SHA512: f2e3c7ae2cd6c6ce2e44b4e10dc86efe41940654adbf126493e98d38d55ec8c678eae9679b0416ed38a0dc98bd09250b6341e40bfb492acfc659a9075375c57e
Homepage: https://cran.r-project.org/package=languagelayeR
Description: CRAN Package 'languagelayeR' (Access the 'languagelayer' API)
 Improve your text analysis with languagelayer <https://languagelayer.com>, a
 powerful language detection API.

Package: r-cran-languager
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2642
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-cluster, r-cran-e1071, r-cran-rms, r-cran-hmisc, r-cran-mass, r-cran-rpart, r-cran-lattice, r-cran-zipfr, r-cran-lme4, r-cran-multcomp, r-cran-lmertest, r-cran-optimx
Filename: pool/dists/focal/main/r-cran-languager_1.6-1.ca2004.1_all.deb
Size: 2466268
MD5sum: 86a497d391830b4701ae34b0c88c642b
SHA1: d9e821f52a27019be966c8d7fb9eee0a153ba2d3
SHA256: f9bc92e7590a6d9c28beabfe547b414bd671d443b0853a889895cf30e7e906b3
SHA512: dc28021d50e292b34d50f64cbb46e1089cb39f102c5c33ee284d93e7a214370e28723673831ed76a6bbd233e30335c3055ee7a35dd3511ee4b0980e2a67f84dc
Homepage: https://cran.r-project.org/package=languageR
Description: CRAN Package 'languageR' (Data Sets and Functions with Analyzing Linguistic Data: APractical Introduction to Statistics)
 Data sets exemplifying statistical methods, and some facilitatory utility
 functions used in ``Analyzing Linguistic Data: A practical introduction to
 statistics using R'', Cambridge University Press, 2008.

Package: r-cran-languageserversetup
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-languageserversetup_0.1.2-1.ca2004.1_all.deb
Size: 50556
MD5sum: d6326432ba95422615015dc99b6d879f
SHA1: 2e72b67f0693efa374f83545ba3585c1fb212cb2
SHA256: fe49b124b1e1378f2e8e97058d22bb278adb06ffc8f6e9c96e1716e942b16b7e
SHA512: 9f369eb1e2c447354b38c5df8cb1b8d72d2e477763cbfa62ffd98347fc75bd5071cf39bc24014c5b420827b5a4a0b9126d5a08a925b19d2cea8ec7cbcc59077c
Homepage: https://cran.r-project.org/package=languageserversetup
Description: CRAN Package 'languageserversetup' (Automated Setup and Auto Run for R Language Server)
 Allows to install the R 'languageserver' with all dependencies into a
 separate library and use that independent installation automatically when R
 is instantiated as a language server process.  Useful for making language
 server seamless to use without running into package version conflicts.

Package: r-cran-lans2r
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4917
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-reshape2, r-cran-ggplot2, r-cran-rlang, r-cran-r.matlab
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lans2r_1.2.0-1.ca2004.1_all.deb
Size: 2809468
MD5sum: 921bd4296904d444997de9ef18b89648
SHA1: a6f457a0310e7b743785a51eee3bd0f09791486b
SHA256: 2e2af3c9c0d1878d3cbeb717010513ccc5f76b214179fd03044b2a8f2dc1bc28
SHA512: 6343bda92333baccd383e8befb39f548f4f51b22685581eff82d60fa20f19dc705bc29d2aa2beb707867b7a3756f27340d027dc5c7dfaffebb9c08fa16e11e69
Homepage: https://cran.r-project.org/package=lans2r
Description: CRAN Package 'lans2r' (Work with Look at NanoSIMS Data in R)
 R interface for working with nanometer scale secondary ion mass spectrometry
 (NanoSIMS) data exported from Look at NanoSIMS.

Package: r-cran-laplacedeconv
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-orthopolynom
Filename: pool/dists/focal/main/r-cran-laplacedeconv_1.0.4-1.ca2004.1_all.deb
Size: 48408
MD5sum: c515989222182d707bd1e0963f2f74d4
SHA1: b06e5f5e15af475281bcd0654630ee3e1ada09e5
SHA256: e99711a510abd6c76b70194a18b6399102ce42d6a1d26accafff47826d47dc40
SHA512: 4ac23ed70efe22d10975598e6de6a92c4a9e5861383b6f85b2bcf1a6f5e8488d71eb47e2f003ac533c459554cf808264e909bbbe1d935cf934d2112082b6ef1f
Homepage: https://cran.r-project.org/package=LaplaceDeconv
Description: CRAN Package 'LaplaceDeconv' (Laplace Deconvolution with Noisy Discrete Non-Equally SpacedObservations on a Finite Time Interval)
 Solves the problem of Laplace deconvolution with noisy discrete non-equally
 spaced observations on a finite time interval based on expansions of the
 convolution kernel, the unknown function and the observed signal over
 Laguerre functions basis. It implements the methodology proposed in the
 paper "Laplace deconvolution on the basis of time domain data and its
 application to Dynamic Contrast Enhanced imaging" by F. Comte, C-A. Cuenod,
 M. Pensky and Y.  Rozenholc in ArXiv (http://arxiv.org/abs/1405.7107).

Package: r-cran-laplacesdemon
Architecture: all
Version: 16.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4903
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-laplacesdemon_16.1.6-1.ca2004.1_all.deb
Size: 3887364
MD5sum: 50c7e9d97dfc933b6ef32a2f0a801954
SHA1: 382c936681f78b8581d76325d5be6057c3f20d51
SHA256: 9716b2be5fe166e543bffe55c1873216e4dd8a74d38d13292f51aa9749fedb34
SHA512: a98e5ce96d5622ea1ac396d26f41b99cf62494ada170b2177ac0be278df231ac48b8cf6a25f1b379585693e54a8e886f7b145920d50a7f2b0b0e928af80a503d
Homepage: https://cran.r-project.org/package=LaplacesDemon
Description: CRAN Package 'LaplacesDemon' (Complete Environment for Bayesian Inference)
 Provides a complete environment for Bayesian inference using a variety of
 different samplers (see ?LaplacesDemon for an overview).

Package: r-cran-lar
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-treemap, r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-lar_0.1-2-1.ca2004.1_all.deb
Size: 61684
MD5sum: f2f716b0ec731c45beb31091451e1900
SHA1: 405330a8655c717b829a659d18476b576149a402
SHA256: f3c326088d9f8c6a5e282e1e362c49244218d310142178cbf903191630ae50e6
SHA512: 6fa16c3bf5cc9f1252d3ae83ff26683f36fc4213a6d5a7f3e1530b04a0d79dc258c156ae438c57b98043b0b31f9ae102bb47c122e31667557dccb524bb9d0086
Homepage: https://cran.r-project.org/package=lar
Description: CRAN Package 'lar' (History of labour relations package)
 This package is intended for researchers studying historical labour
 relations (see http://www.historyoflabourrelations.org). The package allows
 for easy access of excel files in the standard defined by the Global
 Collaboratory on the History of Labour Relations. The package also allows
 for visualisation of labour relations according to the Collaboratory's
 format.

Package: r-cran-lares
Architecture: all
Version: 5.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2164
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-openxlsx, r-cran-patchwork, r-cran-proc, r-cran-rlang, r-cran-rpart, r-cran-rpart.plot, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-beepr, r-cran-dalex, r-cran-googleauthr, r-cran-googlesheets4, r-cran-h2o, r-cran-knitr, r-cran-mass, r-cran-quantmod, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lares_5.3.0-1.ca2004.1_all.deb
Size: 1771496
MD5sum: 5530c22290986463d5190447d1d4f417
SHA1: 073f00d262cb88f6e2de6355348c7a618f214663
SHA256: 5916aa7a5de09013233cbfea9ddb50f615fe34208250b5a279f26f9deb8ea1dd
SHA512: 0118f1ade35b4b8802a3d11cc22b37f2a705489505f4111727e443f8348475dcf874062569ff1d0f35dae8b63e84581b75cbdc09ebf78a3bd06eaa820e0eb092
Homepage: https://cran.r-project.org/package=lares
Description: CRAN Package 'lares' (Lean Analytics and Robust Exploration Sidekick)
 Auxiliary package for better/faster analytics, visualization, data mining,
 and machine learning tasks. With a wide variety of family functions, like
 Machine Learning, Data Wrangling, Marketing Mix Modeling (Robyn),
 Exploratory, API, and Scrapper, it helps the analyst or data scientist to
 get quick and robust results, without the need of repetitive coding or
 advanced R programming skills.

Package: r-cran-lareshiny
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-htmltools, r-cran-miniui, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets
Suggests: r-cran-h2o, r-cran-lares
Filename: pool/dists/focal/main/r-cran-lareshiny_0.0.3-1.ca2004.1_all.deb
Size: 88432
MD5sum: e95f96a2ccdbb3015b767d5d734afdab
SHA1: 5b5ed3f9baa1bd7bd963c5eced95d59f65625e97
SHA256: 1bd86263fbae1ec0499d64698e5e159e9ceb2584d87fa17cc046c2275edfafa7
SHA512: 0d650dd099ac3bf3cd02531345721b413394c3c29a41b92fc23936f0a42dd1f48bd7892f94facb3ac9168e0e3d15b51716219f88268329000ce0de7570e29209
Homepage: https://cran.r-project.org/package=lareshiny
Description: CRAN Package 'lareshiny' (Lares 'shiny' Modules)
 Useful 'shiny' production-ready modules and helpers such as login window and
 visualization tools.

Package: r-cran-larf
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-larf_1.4-1.ca2004.1_all.deb
Size: 200076
MD5sum: 3007bf855c061e73db3e86e14d6be490
SHA1: d17665a14eadc2f2b3168dad763d6bf69231192b
SHA256: 6996637e1a9c6462a59baaa13eb697722bc3a75f6a9aa510f11f69931c07b0c6
SHA512: 2e7ea988a4ddf74eb332fdf85bce890de2bc73b6185f9cce31238fddb750af13f9085aaff1fdc4ef148e0718ebdd93781b0be5c67ce5aa85b5d060f48083ef40
Homepage: https://cran.r-project.org/package=LARF
Description: CRAN Package 'LARF' (Local Average Response Functions for Instrumental VariableEstimation of Treatment Effects)
 Provides instrumental variable estimation of treatment effects when both the
 endogenous treatment and its instrument are binary. Applicable to both
 binary and continuous outcomes.

Package: r-cran-largb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-largb_0.1.0-1.ca2004.1_all.deb
Size: 249888
MD5sum: 0fdc9ffd5dcff97560aa1f15982a7f3a
SHA1: fba41d737c03a538cf9758cba41dd6aa16ae4e43
SHA256: 7296842b583eb76e2a2a0defe920689a072243245a7eda484ddb88bd020eef02
SHA512: 40f30771e113bd4f3cc8e048fa6af3f8f6c0a3c207bd70911f0b2a43c01933dfa822c72eca038200733336443e27e1cdad725db8624b671658b373c6c285f8dd
Homepage: https://cran.r-project.org/package=LARGB
Description: CRAN Package 'LARGB' (Leaf Area Determination from Visual Image)
 Measurements of leaf area are important in the studies of plant biological
 characteristics. High-throughput plant phenotyping using image analysis is
 the key area in the domain of plant phenotyping. For determining the leaf
 area, the RGB image is converted into the grayscale image by simply
 averaging the Red(R), Green (G) and Blue (B) pixel values. Grayscale image
 is then converted into a binary image using Otsu’s thresholding method Otsu,
 N. (1979) <doi:10.1109/TSMC.1979.4310076> to separate plant area from the
 background (image segmentation). The segmentation process was accomplished
 by selecting the pixels with values over the threshold value belonging to
 the plant region and other pixels to the background region. The resulting
 binary image consists of white and black pixels representing the plant and
 background regions, respectively. Finally, the number of pixels inside the
 plant region was counted and converted to square centimetres (cm2) using the
 reference object (any object whose actual area is known previously) to get
 the projected leaf area.

Package: r-cran-largevars
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-tibble, r-cran-data.table, r-cran-readr
Filename: pool/dists/focal/main/r-cran-largevars_1.0.3-1.ca2004.1_all.deb
Size: 447960
MD5sum: f5d7bb2f815ae44b40fe7d8052b9ecfd
SHA1: 08888e5310a869ee63b2a683723028ac03b891de
SHA256: b31758205cb20e95a62c789d60f93106b3f1c70c77f1b5ef2f605c442c877f41
SHA512: 0a102a234fb2b197ad7864e0b81d813c1b11ea03a375bf5edc19983d2e46b0be2c8e0b3ae415b5672fdae58a224e166b652ca2b593223bfe40838420c3002b17
Homepage: https://cran.r-project.org/package=Largevars
Description: CRAN Package 'Largevars' (Testing Large VARs for the Presence of Cointegration)
 Conducts a cointegration test for high-dimensional vector autoregressions
 (VARs) of order k based on the large N,T asymptotics of Bykhovskaya and
 Gorin, 2022 (<doi:10.48550/arXiv.2202.07150>). The implemented test is a
 modification of the Johansen likelihood ratio test. In the absence of
 cointegration the test converges to the partial sum of the Airy-1 point
 process. This package contains simulated quantiles of the first ten partial
 sums of the Airy-1 point process that are precise up to the first three
 digits.

Package: r-cran-lassopv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-lassopv_0.2.0-1.ca2004.1_all.deb
Size: 17564
MD5sum: a37bee38c2d85803b48f45000431190e
SHA1: e127e867d43ecc860eaa2b78d2258e9b30c9c99e
SHA256: b4d19cb7034de92938930e314d3d417d4e33bb3bb6a925436e1110dc0afffd80
SHA512: 95dad63cfb3ccc6dffafa49f7bb6779dd786ee0251fc59b8a1025dae0c9b5f5ae9d3f26d92bfac5403a3fdc37e7ddbd7329c2dcd8c3a064dfd22c31965987dd1
Homepage: https://cran.r-project.org/package=lassopv
Description: CRAN Package 'lassopv' (Nonparametric P-Value Estimation for Predictors in Lasso)
 Estimate the p-values for predictors x against target variable y in lasso
 regression, using the regularization strength when each predictor enters the
 active set of regularization path for the first time as the statistic. This
 is based on the assumption that predictors (of the same variance) that
 (first) become active earlier tend to be more significant. Three null
 distributions are supported: normal and spherical, which are computed
 separately for each predictor and analytically under approximation, which
 aims at efficiency and accuracy for small p-values.

Package: r-cran-lassoscore
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-glmnet, r-cran-matrix
Suggests: r-cran-lars
Filename: pool/dists/focal/main/r-cran-lassoscore_0.6-1.ca2004.1_all.deb
Size: 220684
MD5sum: 67e9135e64e39cba5729424611c50763
SHA1: 8c594f5eb98b1d676971c9ef7a8638cba5e96ab7
SHA256: 0bc3b1c4a9835d7e864c76d678422d7496a45c2db16d160a8a459eebc3283c2a
SHA512: 5faacbbaa58d22cbbf484adb9ff8d5da6292f0f2400f5f342cf45bf34a314c8fba48737ada6e73aaa3b0556fdd2d7672af8cba192130057422bf3a34f4212e52
Homepage: https://cran.r-project.org/package=lassoscore
Description: CRAN Package 'lassoscore' (High-Dimensional Inference with the Penalized Score Test)
 Use the lasso regression method to perform approximate inference in high
 dimensions, by penalizing the effects of nuisance parameters.

Package: r-cran-lassosir
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-lassosir_1.0-1.ca2004.1_all.deb
Size: 30192
MD5sum: 3bd4c30399f02387e012e0ecef912334
SHA1: 5922248abd2dc2c66b6fd2bf4e2350ce7c3f3b6f
SHA256: e301dafcea715236bde9a424085007704edf9a8902449e09abf058592582ff28
SHA512: 52f2a10d2f6c6fda4c31767682eb30d5c738007a6156255ef61b6b1a66ad8910463ed2a078771b7efc0b521448089088e723bc1d2a94dfdec59b1befa51d5c76
Homepage: https://cran.r-project.org/package=LassoSIR
Description: CRAN Package 'LassoSIR' (Sparsed Sliced Inverse Regression via Lasso)
 Estimate the sufficient dimension reduction space using sparsed sliced
 inverse regression via Lasso (Lasso-SIR) introduced in Lin, Zhao, and Liu
 (2019) <doi:10.1080/01621459.2018.1520115>. The Lasso-SIR is consistent and
 achieve the optimal convergence rate under certain sparsity conditions for
 the multiple index models.

Package: r-cran-latcontrol
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-latcontrol_0.1.1-1.ca2004.1_all.deb
Size: 24080
MD5sum: a1530ca88dc69bc3999316f11991fea8
SHA1: f7c779120e856bda0aa58244e99c7ade188cb403
SHA256: 07c7ca074a6386887a3863fd76c1e9c62c6fa0dc8652bff1724e30dc0d582ce2
SHA512: 505abb282d4bc21a16511f24c93c3e63b89b69a37e8d21e9a26b5c1b093f09509ed1b2b7cf5a803a1b9c1df6e29602b54686cf2fa1e380e80da823fd3a71e433
Homepage: https://cran.r-project.org/package=latcontrol
Description: CRAN Package 'latcontrol' (Evaluation of the Role of Control Variables in StructuralEquation Models)
 Various opportunities to evaluate the effects of including one or more
 control variable(s) in structural equation models onto model-implied
 variances, covariances, and parameter estimates. The derivation of the
 methodology employed in this package can be obtained from Blötner (2023)
 <doi:10.31234/osf.io/dy79z>.

Package: r-cran-latdiag
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-ltm
Filename: pool/dists/focal/main/r-cran-latdiag_0.3-1.ca2004.1_all.deb
Size: 233676
MD5sum: b1d27947d22d385f399f0e054f20c731
SHA1: 3cf682a24550831e50fee4e3e79ad1a5e3757fb9
SHA256: ff07c56f23d80c717fbd067ed6a364784b272d8fd32c88e657d0c945bdc37df9
SHA512: 76fb9f47f5177ed4169d049fd035bee55110d840cbb61f51d2d129b35b6faa898795a22a07d4fa189337b0ed0bef5487baf0c3f6adc1db6885613a47483a7364
Homepage: https://cran.r-project.org/package=latdiag
Description: CRAN Package 'latdiag' (Draws Diagrams Useful for Checking Latent Scales)
 A graph proposed by Rosenbaum is useful for checking some properties of
 various sorts of latent scale, this program generates commands to obtain the
 graph using 'dot' from 'graphviz'.

Package: r-cran-latenetwork
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-statip
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-latenetwork_1.0.1-1.ca2004.1_all.deb
Size: 91316
MD5sum: f2ce30563bb708f4f71f12766f226800
SHA1: 0c6ff24a8007358af9e1c8ed103cf9167561becd
SHA256: f78aacf186c6d0ac133a6ada06f1cc90cc7224e10bb12a13a7a184b847346d36
SHA512: 3ebb89551ee8abdbfa077b123e49059d319ad1904571de52db86910e4cb129a9491b11586dcdced885f7411ce90aac3975d59ec97a0a25b5ceb30b18cf9fa8b2
Homepage: https://cran.r-project.org/package=latenetwork
Description: CRAN Package 'latenetwork' (Inference on LATEs under Network Interference of Unknown Form)
 Estimating causal parameters in the presence of treatment spillover is of
 great interest in statistics.  This package provides tools for instrumental
 variables estimation of average causal effects under network interference of
 unknown form.  The target parameters are the local average direct effect,
 the local average indirect effect, the local average overall effect, and the
 local average spillover effect.  The methods are developed by Hoshino and
 Yanagi (2023) <doi:10.48550/arXiv.2108.07455>.

Package: r-cran-latent2likert
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-sn
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-latent2likert_1.2.1-1.ca2004.1_all.deb
Size: 318928
MD5sum: ea527912ada59ca9b2eeae0cdf7863a7
SHA1: 566f1e1244251611196558c9f0aa63a2061e4318
SHA256: 2e7020efda46d86bdec019b16e4166cbd1b8ed0ab8a2dfceb4ee1f8005106c0d
SHA512: 0041e8746e39ebbed16c5237f06c67e761a77864947ea335d72eeb1fff540216e22a963e143f9a85f253316a1064eaa40c608c098b1f2e5326ad8fa0bc0432b5
Homepage: https://cran.r-project.org/package=latent2likert
Description: CRAN Package 'latent2likert' (Converting Latent Variables into Likert Scale Responses)
 Effectively simulates the discretization process inherent to Likert scales
 while minimizing distortion.  It converts continuous latent variables into
 ordinal categories to generate Likert scale item responses.  Particularly
 useful for accurately modeling and analyzing survey data that use Likert
 scales, especially when applying statistical techniques that require metric
 data.

Package: r-cran-latentbma
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-knitr, r-cran-mnormt, r-cran-progress, r-cran-reshape2
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-latentbma_0.1.2-1.ca2004.1_all.deb
Size: 93912
MD5sum: 8f1020f4be3de1f2a69159aa8462c936
SHA1: 8ddd9a967cf827d9ded22f1a45de545f9a3a8c28
SHA256: ac0d3438616aab891f966075e21c7e599d0e131ea0869327fb4235d55602a41c
SHA512: e22192ec572a30cd46be91105201930ae399e11d709b6957290e20145d91cc0580115e8f2573b1dc3f02861de8755833ffde6ffc7ca9c28e5ae8cd6c670a1fc7
Homepage: https://cran.r-project.org/package=LatentBMA
Description: CRAN Package 'LatentBMA' (Bayesian Model Averaging for Univariate Link Latent GaussianModels)
 Bayesian model averaging (BMA) algorithms for univariate link latent
 Gaussian models (ULLGMs). For detailed information, refer to Steel M.F.J. &
 Zens G. (2024) "Model Uncertainty in Latent Gaussian Models with Univariate
 Link Function" <doi:10.48550/arXiv.2406.17318>. The package supports various
 g-priors and a beta-binomial prior on the model space. It also includes
 auxiliary functions for visualizing and tabulating BMA results. Currently,
 it offers an out-of-the-box solution for model averaging of Poisson
 log-normal (PLN) and binomial logistic-normal (BiL) models. The codebase is
 designed to be easily extendable to other likelihoods, priors, and link
 functions.

Package: r-cran-latentfactor
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bbmisc, r-cran-eganet, r-cran-fspe, r-cran-googledrive, r-cran-ineq, r-cran-lavaan, r-cran-matrix, r-cran-mlr, r-cran-mvtnorm, r-cran-psych, r-cran-rstudioapi, r-cran-xgboost
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-latentfactor_0.0.6-1.ca2004.1_all.deb
Size: 278256
MD5sum: a7edf9f352cbd97cdbd8d1e088ff46cf
SHA1: 0d9dd454f89b5d5307ea56740efa1cd8ffb7ff67
SHA256: efd1b5d780edf06b04885b58e1ac7ffcd01858a9b6262303f027ba0aee7a5e8b
SHA512: 0efb68c64d9a0ac7f4a52c2e41e166d3ec0a5fbe5c4eb64e5d5d28da464bca7f86ff38f1c2dc72e52d54839f117fc22c2e34a1f9677d1756a7871b61f933c33e
Homepage: https://cran.r-project.org/package=latentFactoR
Description: CRAN Package 'latentFactoR' (Data Simulation Based on Latent Factors)
 Generates data based on latent factor models. Data can be continuous,
 polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects,
 population errors, and local dependencies can be added. All parameters can
 be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda
 (2011) <doi:10.1177/0013164410389489>.

Package: r-cran-laterality
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-laterality_0.9.5-1.ca2004.1_all.deb
Size: 101808
MD5sum: 21bfb3dbc8c94f54128ca2efb2d065e2
SHA1: c450e72aec2ef49490e14c0e9a6472c2e22f26a9
SHA256: 8cbb204d137d8eefb608c85107031bb4fdbf4ccf0e6609ac02c3a78662d7c96e
SHA512: d7e8a64fd46810ffabad2ce753ad9e9798ec6ddb21a6f5e72dc18035f105b413deab6fb8ac4a7701044585d8a47683e02e7e697fefd9e8cc2c7adee6b5450284
Homepage: https://cran.r-project.org/package=Laterality
Description: CRAN Package 'Laterality' (Functions to Calculate Common Laterality Statistics inPrimatology)
 Calculates and plots Handedness index (HI), absolute HI, mean HI and z-score
 which are commonly used indexes for the study of hand preference
 (laterality) in non-human primates.

Package: r-cran-latermodel
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tibble, r-cran-moments
Suggests: r-cran-lintr, r-cran-styler, r-cran-testthat, r-cran-vdiffr, r-cran-printr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-latermodel_0.2.0-1.ca2004.1_all.deb
Size: 109484
MD5sum: f5af445d6c179abb05038a72d2e32907
SHA1: 9b4e584457a6c5cf011106459f522af5295dd956
SHA256: 63ec24d1866d8f1e22f4cb9bbffbae45166152c7bb14ce70c18cc4bc60a8b588
SHA512: 2a366f2fb654655a37da5935b4fe69a0ac888980ac1d5670539c08ee9f30b30ec309de12cceb97f1e479a79f595614ee85e7919f332d8ee880fa9f1d5ebe3e8f
Homepage: https://cran.r-project.org/package=LATERmodel
Description: CRAN Package 'LATERmodel' (Linear Approach to Threshold with Ergodic Rate for ReactionTimes)
 Implements the Linear Approach to Threshold with Ergodic Rate (LATER) model,
 which predicts distributions of reaction times and summarises them with as
 little as two free parameters. Allows for easy visualisation and comparison
 of datasets, along with fitting of datasets using the LATER model.

Package: r-cran-latex2exp
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2976
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-waldo, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-purrr, r-cran-tibble, r-cran-reactable, r-cran-htmltools, r-cran-rcurl, r-cran-rlang, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-latex2exp_0.9.6-1.ca2004.1_all.deb
Size: 1434576
MD5sum: cacafd55cdcab154264fef71e736b886
SHA1: 9b4e6ea2874c3721755e3b564684c74377049830
SHA256: 44db94572eaa47cfc47b1d2757c08ea4b18eaf181337f93630a00894842ddb60
SHA512: 40428b8d076809fd5dd11adc81f414e7b14b37197711812f21a8b5505af8e40cea00c52ed99de09e564beb43b549bf91ea2e2551165a97177cfc105ecae21e5a
Homepage: https://cran.r-project.org/package=latex2exp
Description: CRAN Package 'latex2exp' (Use LaTeX Expressions in Plots)
 Parses and converts LaTeX math formulas to R's plotmath expressions, used to
 enter mathematical formulas and symbols to be rendered as text, axis labels,
 etc. throughout R's plotting system.

Package: r-cran-latexdiffr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-fs, r-cran-rprojroot
Suggests: r-cran-tinytex, r-cran-rmarkdown, r-cran-knitr, r-cran-quarto, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-latexdiffr_0.2.0-1.ca2004.1_all.deb
Size: 22388
MD5sum: 50f79e026c50f0d6e0056199a84e5f7b
SHA1: 171e474b1aacffae15c4613d5e91ca0c5b51b515
SHA256: 979484456fc1adf07fbcf878e4d84559b0be17ed446e1e82db9e78ae48735952
SHA512: e7b36651dc5277eb2d445a8640a4bbb61e765ca231f9dcd3f991b6572c5c08c8df527d097ff582bc21ef98408469b1851c68c49311bc8277b864a4e069444489
Homepage: https://cran.r-project.org/package=latexdiffr
Description: CRAN Package 'latexdiffr' (Diff TeX, 'rmarkdown' or 'quarto' Files Using the 'latexdiff'Utility)
 Produces a PDF diff of two 'rmarkdown', 'quarto', Sweave or TeX files, using
 the external 'latexdiff' utility.

Package: r-cran-latexpdf
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-latexpdf_0.1.8-1.ca2004.1_all.deb
Size: 174832
MD5sum: 362e2559a378e862734414b2c96246d3
SHA1: 00dda4e044a68c9b6a80e3d49ed5c0d6c3383749
SHA256: 6f747f49b43a52f3a1b6a7b0cf36813bc5651eab638d69a66dd7dfff0fb65c43
SHA512: 67c8dd89e1c738f8298799c16cbae032376afd6d3806b356b4864328f1a2ee3f6107da63c057f992520f17e8c6e2f9a6be1785337aa82d851fd2ecea821b882b
Homepage: https://cran.r-project.org/package=latexpdf
Description: CRAN Package 'latexpdf' (Convert Tables to PDF or PNG)
 Converts table-like objects to stand-alone PDF or PNG.  Can be used to embed
 tables and arbitrary content in PDF or Word documents. Provides a low-level
 R interface for creating 'LaTeX' code, e.g. command() and a high-level
 interface for creating PDF documents, e.g. as.pdf.data.frame(). Extensive
 customization is available via mid-level functions, e.g. as.tabular(). See
 also 'package?latexpdf'. Support for PNG is experimental; see
 'as.png.data.frame'. Adapted from 'metrumrg'
 <https://r-forge.r-project.org/R/?group_id=1215>.  Requires a compatible
 installation of 'pdflatex', e.g. <https://miktex.org/>.

Package: r-cran-latexsymb
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-latexsymb_1.0.0-1.ca2004.1_all.deb
Size: 48512
MD5sum: f1bfd565f673021d244266e8a96ebb70
SHA1: b0b66714e5ecbd8bb98b67568d70bc7d3a0bc3e0
SHA256: 296d8fbea31c572634bdfcdda4dab419a16e3284f07255629148a8b1e67d3c2a
SHA512: ae70b980b54cc2beda1163c56b9c1ef9f5396e638fb40e2d66cab61f896e416dc0217d1eb62e9911cbfb9499c28141607f564e624b9b70f3c6ca320173d529cb
Homepage: https://cran.r-project.org/package=latexSymb
Description: CRAN Package 'latexSymb' (R Functions for Readable LaTeX Mathematical Expressions)
 Build complex 'LaTeX' mathematical expressions using intuitive 'R'
 functions. Replace error-prone 'LaTeX' syntax with readable, modular
 functions that make mathematical typesetting straightforward and
 maintainable.

Package: r-cran-latrend
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2081
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-r.utils, r-cran-assertthat, r-cran-foreach, r-cran-data.table, r-cran-magrittr, r-cran-matrixstats, r-cran-rmarkdown, r-cran-rlang
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rcmdcheck, r-cran-pkgdown, r-cran-devtools, r-cran-cluster, r-cran-evaluate, r-cran-lme4, r-cran-covr, r-cran-lintr, r-cran-tinytex, r-cran-longitudinaldata, r-cran-kml, r-cran-lcmm, r-cran-mixtools, r-cran-flexmix, r-cran-fda, r-cran-funfem, r-cran-gridextra, r-cran-igraph, r-cran-crimcv, r-cran-dtwclust, r-cran-mixak, r-cran-mclust, r-cran-mclustcomp, r-cran-clvalid, r-cran-psych, r-cran-qqplotr, r-cran-doparallel, r-cran-simtool, r-cran-dplyr, r-cran-ggplot2, r-cran-caret, r-cran-tibble, r-cran-clustercrit
Filename: pool/dists/focal/main/r-cran-latrend_1.6.1-1.ca2004.1_all.deb
Size: 1563112
MD5sum: 86eb6928a7688aae45e60c7e0406ef51
SHA1: 35a19c6d87952133265c0fcceea754def5442908
SHA256: 4815d76d6beac98588e8ed4631704dbc09b9f27847c624a51c6d6e7e500cacfa
SHA512: 9070fa7610eaac9575e92208e894e7feff157a92978b630b4011ccd146d95b0f3b6c898ef40ab383eefa8b372728365212c3bb66983b8bd9f37f3e6ba88caf19
Homepage: https://cran.r-project.org/package=latrend
Description: CRAN Package 'latrend' (A Framework for Clustering Longitudinal Data)
 A framework for clustering longitudinal datasets in a standardized way.  The
 package provides an interface to existing R packages for clustering
 longitudinal univariate trajectories, facilitating reproducible and
 transparent analyses.  Additionally, standard tools are provided to support
 cluster analyses, including repeated estimation, model validation, and model
 assessment.  The interface enables users to compare results between methods,
 and to implement and evaluate new methods with ease.  The 'akmedoids'
 package is available from <https://github.com/MAnalytics/akmedoids>.

Package: r-cran-latte
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-stringr, r-cran-mpoly, r-cran-ggplot2, r-cran-memoise, r-cran-dplyr, r-cran-usethis, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-latte_0.2.2-1.ca2004.1_all.deb
Size: 351180
MD5sum: ea3011bd60e8ed46c23668b141a064a8
SHA1: 3e8d62c8d97f84a03735e966f5c94b0df1adbb11
SHA256: eb5c9c2e14066e61ea17752ae512e6688516dcb0d05a07fcb944665f2ea32599
SHA512: fa9448a236b8fceaa3e45c2c12577361bec19f64671d5833a65cddab4593cf79e5f622f9036e4ad86d3884831d7632f0521f433c888b8f843ce81d6023619b38
Homepage: https://cran.r-project.org/package=latte
Description: CRAN Package 'latte' (Interface to 'LattE' and '4ti2')
 Back-end connections to 'LattE' (<https://www.math.ucdavis.edu/~latte/>) for
 counting lattice points and integration inside convex polytopes and '4ti2'
 (<http://www.4ti2.de/>) for algebraic, geometric, and combinatorial problems
 on linear spaces and front-end tools facilitating their use in the 'R'
 ecosystem.

Package: r-cran-latticedensity
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 830
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spatstat, r-cran-spatstat.geom, r-cran-splancs, r-cran-spdep, r-cran-spam, r-cran-sp, r-cran-spatialreg, r-cran-sf
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-testthat, r-cran-rmarkdown, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-latticedensity_1.2.6-1.ca2004.1_all.deb
Size: 563268
MD5sum: f9dc6aa0327d40cb8f64747020adca48
SHA1: 329aebd80274faf4fcc4be4ec5b6396c986386d2
SHA256: d17f71835acb5d04e5e13a39a4af861e366bbcb80919154370ebf0e1cd65d4e8
SHA512: 1fe38a299b0df4cc70d057d463645e3874c57518bbf90631c5ad49b1d37f9d158a1d729e80be34a2e9bb4bd94fe8974b131eaa37ded71bc00089928e003b56c5
Homepage: https://cran.r-project.org/package=latticeDensity
Description: CRAN Package 'latticeDensity' (Density Estimation and Nonparametric Regression on IrregularRegions)
 Functions that compute the lattice-based density estimator of Barry and
 McIntyre, which accounts for point processes in two-dimensional regions with
 irregular boundaries and holes.  The package also implements two-dimensional
 non-parametric regression for similar regions.

Package: r-cran-latticeextra
Architecture: all
Version: 0.6-30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2262
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-png, r-cran-jpeg, r-cran-rcolorbrewer, r-cran-interp, r-cran-mass
Suggests: r-cran-maps, r-cran-mapproj, r-cran-deldir, r-cran-quantreg, r-cran-zoo, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-latticeextra_0.6-30-1.ca2004.1_all.deb
Size: 2193628
MD5sum: 3914ecbb9a1bb190133180d558538053
SHA1: 707beb915a0abfc95a6fe6edcba19090db4724c0
SHA256: 20a6ef6663b3fbde852ed84a3a6237b91ab4230284408a52f50702602147a20f
SHA512: 3477f27e78ad6881652d5420462975233d1c78003d34c9c68ef1e1a0df6dad2bbe40a852e2690c9163875814eb76addb391418e1c0fc466656c20683a53a305a
Homepage: https://cran.r-project.org/package=latticeExtra
Description: CRAN Package 'latticeExtra' (Extra Graphical Utilities Based on Lattice)
 Building on the infrastructure provided by the lattice package, this package
 provides several new high-level functions and methods, as well as additional
 utilities such as panel and axis annotation functions.

Package: r-cran-lava
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2960
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-future.apply, r-cran-numderiv, r-cran-progressr, r-cran-survival, r-cran-squarem
Suggests: r-cran-kernsmooth, r-bioc-rgraphviz, r-cran-data.table, r-cran-ellipse, r-cran-fields, r-cran-geepack, r-bioc-graph, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-lavasearch2, r-cran-lme4, r-cran-mass, r-cran-matrix, r-cran-mets, r-cran-nlme, r-cran-optimx, r-cran-polycor, r-cran-quantreg, r-cran-rgl, r-cran-targeted, r-cran-testthat, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-lava_1.8.1-1.ca2004.1_all.deb
Size: 2440968
MD5sum: 320e83c75c276c1c9574223a95b58b6d
SHA1: 576253e4376ed5259525796e991b6d302ed1f8e0
SHA256: d8d4f6bd66cf41dc1de2b9c3de27a3055a3f9260f7114d4762e5ba00892a8f97
SHA512: f13724c0f11903e87c2c41a06597bee2eb1d945c5afa595577b038e87e5a202262ce098755ebf259a8271bfc1a08f3f9f285e52957fa7bd413802e4ef56bf7b8
Homepage: https://cran.r-project.org/package=lava
Description: CRAN Package 'lava' (Latent Variable Models)
 A general implementation of Structural Equation Models with latent variables
 (MLE, 2SLS, and composite likelihood estimators) with both continuous,
 censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013)
 <doi:10.1007/s00180-012-0344-y>).  Mixture latent variable models and
 non-linear latent variable models (Holst and Budtz-Joergensen (2020)
 <doi:10.1093/biostatistics/kxy082>).  The package also provides methods for
 graph exploration (d-separation, back-door criterion), simulation of general
 non-linear latent variable models, and estimation of influence functions for
 a broad range of statistical models.

Package: r-cran-lavaan.mi
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan
Suggests: r-cran-amelia, r-cran-mass, r-cran-mice, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lavaan.mi_0.1-0-1.ca2004.1_all.deb
Size: 526944
MD5sum: dc812f3d7b333dda8f92791de86d5a77
SHA1: 6ff3f959173d722412c59f3224fd878bba162e48
SHA256: 0ae48a522f82eb39ff635d13f543ced676dd28a148d9347d6d221134a2e16ac6
SHA512: 7f3094b43e125392acfad7e22a1813f343ee71acdfee26509fc23190fbd795a4a3d1efe50b896c72287c3f07bc74e39890df7edb881e07679cf691a3657fc20b
Homepage: https://cran.r-project.org/package=lavaan.mi
Description: CRAN Package 'lavaan.mi' (Fit Structural Equation Models to Multiply Imputed Data)
 The primary purpose of 'lavaan.mi' is to extend the functionality of the R
 package 'lavaan', which implements structural equation modeling (SEM).  When
 incomplete data have been multiply imputed, the imputed data sets can be
 analyzed by 'lavaan' using complete-data estimation methods, but results
 must be pooled across imputations (Rubin, 1987,
 <doi:10.1002/9780470316696>).  The 'lavaan.mi' package automates the pooling
 of point and standard-error estimates, as well as a variety of test
 statistics, using a familiar interface that allows users to fit an SEM to
 multiple imputations as they would to a single data set using the 'lavaan'
 package.

Package: r-cran-lavaan.printer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lavaan.printer_0.1.0-1.ca2004.1_all.deb
Size: 83368
MD5sum: 26101e7ccc698fe75d9988f3f08c08c4
SHA1: d6d56729e8d66cb06032710233a158aea75bc807
SHA256: 1d336b2dfa09371a0868d7de3b5a7381d32412585ee1b4f7293d7d95a672c3b7
SHA512: a5aa7e5e492592d275d642bef3dd0c7ecbf4ef62144cf527752b16e4caf024d8de4df9863adc77c26313ad28a006da47d2abb04fc652ed136a815e52343ab4e3
Homepage: https://cran.r-project.org/package=lavaan.printer
Description: CRAN Package 'lavaan.printer' (Helper Functions for Printing 'lavaan' Outputs)
 Helpers for customizing selected outputs from 'lavaan' by Rosseel (2012)
 <doi:10.18637/jss.v048.i02> and print them. The functions are intended to be
 used by package developers in their packages and so are not designed to be
 user-friendly. They are designed to be let developers customize the tables
 by other functions. Currently the parameter estimates tables of a fitted
 object are supported.

Package: r-cran-lavaan.shiny
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyace, r-cran-psych, r-cran-lavaan, r-cran-semplot
Filename: pool/dists/focal/main/r-cran-lavaan.shiny_1.2-1.ca2004.1_all.deb
Size: 45080
MD5sum: 048d69eb474be44d53eaf7d0a5b00395
SHA1: 9c5092e64b32fa4d7bf58a5c86e0f66278c8485a
SHA256: 2c7a5102e603179da9d8699ea4cbf4b110eaec589ce76999a3357f6a9887822f
SHA512: 10a46c6306e2b1bdeffcc747eba547bc8b6b94ce0bcd1ba7d738da846ea4481feb800670ca6d9e67cb828c97c7d429d0129aacc6611fe6f9daf0a3be59cd7bf3
Homepage: https://cran.r-project.org/package=lavaan.shiny
Description: CRAN Package 'lavaan.shiny' (Latent Variable Analysis with Shiny)
 Interactive shiny application for working with different kinds of latent
 variable analysis, with the 'lavaan' package. Graphical output for models
 are provided and different estimators are supported.

Package: r-cran-lavaan.survey
Architecture: all
Version: 1.1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-mice, r-cran-mitools
Filename: pool/dists/focal/main/r-cran-lavaan.survey_1.1.3.1-1.ca2004.1_all.deb
Size: 388108
MD5sum: a9b1491e37eec375429a5f1fc1f321ca
SHA1: 96d31aa186ac3b31d4870b7913a709fb3cd43aad
SHA256: 7bf143bbe70d196f510f33b76ad0a8c99a53b86ff80b48aab3de064a9436b2e1
SHA512: 5fa647bc3a9db010ca8f531886bbe8b69ffdad3ce20eade161d481790f4d5659f801539315125410499cdafdae155f13a81920ca8a32f7ada3e27bfd58f3aa60
Homepage: https://cran.r-project.org/package=lavaan.survey
Description: CRAN Package 'lavaan.survey' (Complex Survey Structural Equation Modeling (SEM))
 Fit structural equation models (SEM) including factor analysis, multivariate
 regression models with latent variables and many other latent variable
 models while correcting estimates, standard errors, and chi-square-derived
 fit measures for a complex sampling design.  Incorporate clustering,
 stratification, sampling weights, and finite population corrections into a
 SEM analysis.  Wrapper around packages lavaan and survey.

Package: r-cran-lavaan
Architecture: all
Version: 0.6-19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3941
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-mnormt, r-cran-pbivnorm, r-cran-numderiv, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-lavaan_0.6-19-1.ca2004.1_all.deb
Size: 3739252
MD5sum: c410258dc1c376ae1f1275f021c7f434
SHA1: 1632834b837a0c556d1ba5be414e9c74d4b5c697
SHA256: 3f8be24429e5bc196318bcec1ee8526546ba5633fddf221b21eeae6c6ef3b6b7
SHA512: b835558931fa16c8819ffc36341fd41787d87ccbb36137753cb77bc7b0e61bbc6f35e4c8a5021565f55fcd7a2997b3961fb6f801609b50ef64f3d883ee8d8979
Homepage: https://cran.r-project.org/package=lavaan
Description: CRAN Package 'lavaan' (Latent Variable Analysis)
 Fit a variety of latent variable models, including confirmatory factor
 analysis, structural equation modeling and latent growth curve models.

Package: r-cran-lavaanextra
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1497
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-insight
Suggests: r-cran-rempsyc, r-cran-flextable, r-cran-lavaanplot, r-cran-diagrammersvg, r-cran-rsvg, r-cran-png, r-cran-webshot, r-cran-tidysem, r-cran-tmvnsim, r-cran-knitr, r-cran-tibble, r-cran-sjlabelled, r-cran-stringdist, r-cran-psych, r-cran-testthat, r-cran-rmarkdown, r-cran-markdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-lavaanextra_0.2.1-1.ca2004.1_all.deb
Size: 1152264
MD5sum: a13bdd12be380ab75278209ece4ce7b7
SHA1: 248e2c99673b59df3cff55e2b4a3886179c93510
SHA256: a85b09fc24929caf7b531a52650744be215e2f16df1414e0d63a65f073712212
SHA512: 236daf94a39b0a69d301086241ba3d4f593433c2751abec2c39f8bb990c63965a929aecfa0a95e7a6ca2b9b90077861dd69d3128356c9c2be8f424fece4fecd5
Homepage: https://cran.r-project.org/package=lavaanExtra
Description: CRAN Package 'lavaanExtra' (Convenience Functions for Package 'lavaan')
 Affords an alternative, vector-based syntax to 'lavaan', as well as other
 convenience functions such as naming paths and defining indirect links
 automatically, in addition to convenience formatting optimized for a
 publication and script sharing workflow.

Package: r-cran-lavaangui
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2573
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-future, r-cran-haven, r-cran-jsonlite, r-cran-lavaan, r-cran-promises, r-cran-readr, r-cran-readxl, r-cran-shiny, r-cran-colorspace, r-cran-igraph, r-cran-dt, r-cran-plyr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-lavaangui_0.2.4-1.ca2004.1_all.deb
Size: 846416
MD5sum: 814bdaadc7199740a16ac6e40e3e5537
SHA1: 326f1f9af1a5dbd7d9a9d5cbebad07b327f602bc
SHA256: 18ce6e72466393a23c4cef813624f0e596b0862e21c2b160392f99c4adc8adad
SHA512: 4feb6d6615c155e1dc441882a2cde1b6504242f6d0ace2142a3496c1203dbca77d8d92c953644ca4722fc31bdea86f840a640d6adc44288d3229637fcf19b4c4
Homepage: https://cran.r-project.org/package=lavaangui
Description: CRAN Package 'lavaangui' (Graphical User Interface with Integrated 'Diagrammer' for'Lavaan')
 Provides a graphical user interface with an integrated diagrammer for latent
 variables from the 'lavaan' package.  It offers two core functions: first,
 lavaangui() launches a web application that allows users to specify models
 by drawing path diagrams, fitting them, assessing model fit, and more;
 second, plot_lavaan() creates interactive path diagrams from models
 specified in 'lavaan'.  Karch (2024) <doi: 10.31234/osf.io/f4ary> contains a
 tutorial.

Package: r-cran-lavaanplot
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6603
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lavaan, r-cran-diagrammer, r-cran-stringr, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-diagrammersvg, r-cran-rsvg, r-cran-png, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lavaanplot_0.8.1-1.ca2004.1_all.deb
Size: 526604
MD5sum: ac8d90ee60a1416f35590d1b9446bc19
SHA1: 9b62163965a7f946e3cd96bac49cab7844a36957
SHA256: 1cb346b37640d1b222c38ac143f7e20533f65aa058665f7f9b72840aa3c985c5
SHA512: 14474e9ca1cb61fee8686a394465e0989d6ab5f19cceab7f10d2ae4abb2bb93f0dbb6f351eb30a667007ee16571764c6dc97321e4e92aa9de4fc1cb6400cc32b
Homepage: https://cran.r-project.org/package=lavaanPlot
Description: CRAN Package 'lavaanPlot' (Path Diagrams for 'Lavaan' Models via 'DiagrammeR')
 Plots path diagrams from models in 'lavaan' using the plotting functionality
 from the 'DiagrammeR' package. 'DiagrammeR' provides nice path diagrams via
 'Graphviz', and these functions make it easy to generate these diagrams from
 a 'lavaan' path model without having to write the DOT language graph
 specification.

Package: r-cran-lavacvxr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavash, r-cran-pracma, r-cran-cvxr
Filename: pool/dists/focal/main/r-cran-lavacvxr_1.0.2-1.ca2004.1_all.deb
Size: 24620
MD5sum: cec2118effdcb63b4e23c235aad5f155
SHA1: 1493006e2b15ed776f7294086eb049aa4fd231ca
SHA256: 8b63ff8a47683240d99e287b8626bfb8764fa1924d364cb5d9b17f6b600d669e
SHA512: 7771f40c3bcde1fd7fb536cecc6e0dfef6445edcc1101408d55531367e660b6d2bab15acfb078f423d2de98a85f484a2e94157d77c7d862972b22b30b5396ea2
Homepage: https://cran.r-project.org/package=LavaCvxr
Description: CRAN Package 'LavaCvxr' (Lava Estimation for the Sum of Sparse and Dense Signals(3Methods))
 The lava estimation is used to recover signals that is the sum of a sparse
 signal and a dense signal. The post-lava method corrects the shrinkage bias
 of lava. For more information on the lava estimation, see Chernozhukov,
 Hansen, and Liao (2017) <doi:10.1214/16-AOS1434>.

Package: r-cran-lavash
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-lavash_1.0-1.ca2004.1_all.deb
Size: 30720
MD5sum: 3241ac3b6b251134dc3ca9f78a1a958b
SHA1: 58198f24d419eefa174c7a46e9c9ca421490cabe
SHA256: 8e30c88eb3086d6774896f67d9877cb7a6f3516a30f57b21e12f9b5c80a91c07
SHA512: 791ba5393ea4490e808101e7e9a0311a9096de05f6b9475c2173ffef56f2057462fbd7be0e52d52e3f33899c1ec574723b4f281a1803d446917c81eb4534a29f
Homepage: https://cran.r-project.org/package=Lavash
Description: CRAN Package 'Lavash' (Lava Estimation for the Sum of Sparse and Dense Signals)
 The lava estimation is a new technique to recover signals that is the sum of
 a sparse and dense signals. The post-lava method corrects the shrinkage bias
 of lava. For more information on the lava estimation, see Chernozhukov,
 Hansen, and Liao (2017) <doi:10.1214/16-AOS1434>.

Package: r-cran-lawbl
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lawbl_1.5.0-1.ca2004.1_all.deb
Size: 624480
MD5sum: 4fcd031b620438111e70d4b683257846
SHA1: 849fe871f88611655f034735b60453f0dbd58c93
SHA256: bfa18d1b26d812d957569b46649dbdb78d1945b750c92356bc16e9210eafd75d
SHA512: 8c213a32f3bc451d303471e6a826bf7de7f0a2f788a5337b4af3c7274fefeeab9716d213d2d34f1216839665f6c70df9fdc3490361de90cc4f60a5d77d750a02
Homepage: https://cran.r-project.org/package=LAWBL
Description: CRAN Package 'LAWBL' (Latent (Variable) Analysis with Bayesian Learning)
 A variety of models to analyze latent variables based on Bayesian learning:
 the partially CFA (Chen, Guo, Zhang, & Pan, 2020) <DOI: 10.1037/met0000293>;
 generalized PCFA; partially confirmatory IRM (Chen, 2020) <DOI:
 10.1007/s11336-020-09724-3>; Bayesian regularized EFA <DOI:
 10.1080/10705511.2020.1854763>; Fully and partially EFA.

Package: r-cran-lawstat
Architecture: all
Version: 3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kendall, r-cran-mvtnorm, r-cran-rdpack
Suggests: r-cran-fbasics, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-lawstat_3.6-1.ca2004.1_all.deb
Size: 247880
MD5sum: f7059e546c3613bde708c32b384b4538
SHA1: 45c403981c15ec5aff747deac2e2de01271e4fc8
SHA256: 691a682154c98a2799b1d51a70c4e2f2c707c360e5f2064b50f83524625c0f6d
SHA512: 57e05e98bf795feb3b7e4765c2dbfc89898e6abe5fc72b7ed1f072b6073de045bfe1b72b7908d29d0a9e888aaf07add7078d022ef622726b19c025660f6ba235
Homepage: https://cran.r-project.org/package=lawstat
Description: CRAN Package 'lawstat' (Tools for Biostatistics, Public Policy, and Law)
 Statistical tests widely utilized in biostatistics, public policy, and law.
 Along with the well-known tests for equality of means and variances,
 randomness, and measures of relative variability, the package contains new
 robust tests of symmetry, omnibus and directional tests of normality, and
 their graphical counterparts such as robust QQ plot, robust trend tests for
 variances, etc. All implemented tests and methods are illustrated by
 simulations and real-life examples from legal statistics, economics, and
 biostatistics.

Package: r-cran-lax
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chandwich, r-cran-exdex, r-cran-numderiv, r-cran-revdbayes, r-cran-sandwich
Suggests: r-cran-distillery, r-cran-eva, r-cran-evd, r-cran-evir, r-cran-extremes, r-cran-fextremes, r-cran-ismev, r-cran-knitr, r-cran-mev, r-cran-pot, r-cran-rmarkdown, r-cran-testthat, r-cran-texmex
Filename: pool/dists/focal/main/r-cran-lax_1.2.3-1.ca2004.1_all.deb
Size: 361876
MD5sum: de3a10596cfeb2201cfe174d0887bae2
SHA1: 8ab5f6d2e5ffb7d137b5d5e7dfc509085ef76ca7
SHA256: ea9680679da8399b9146d712fbad36e56388f3fae40bfd8150ef745b601b4aed
SHA512: 354bc7aa97b9ad3c41ae4d39b8b17a9a631c9df20c233b60e103a3488c404b69c6bf857c71330283d8ee595468f2d429680354221424e57331ed93019984d95f
Homepage: https://cran.r-project.org/package=lax
Description: CRAN Package 'lax' (Loglikelihood Adjustment for Extreme Value Models)
 Performs adjusted inferences based on model objects fitted, using maximum
 likelihood estimation, by the extreme value analysis packages 'eva'
 <https://cran.r-project.org/package=eva>, 'evd'
 <https://cran.r-project.org/package=evd>, 'evir'
 <https://cran.r-project.org/package=evir>, 'extRemes'
 <https://cran.r-project.org/package=extRemes>, 'fExtremes'
 <https://cran.r-project.org/package=fExtremes>, 'ismev'
 <https://cran.r-project.org/package=ismev>, 'mev'
 <https://cran.r-project.org/package=mev>, 'POT'
 <https://cran.r-project.org/package=POT> and 'texmex'
 <https://cran.r-project.org/package=texmex>.  Adjusted standard errors and
 an adjusted loglikelihood are provided, using the 'chandwich' package
 <https://cran.r-project.org/package=chandwich> and the object-oriented
 features of the 'sandwich' package
 <https://cran.r-project.org/package=sandwich>. The adjustment is based on a
 robust sandwich estimator of the parameter covariance matrix, based on the
 methodology in Chandler and Bate (2007) <doi:10.1093/biomet/asm015>. This
 can be used for cluster correlated data when interest lies in the parameters
 of the marginal distributions, or for performing inferences that are robust
 to certain types of model misspecification.  Univariate extreme value
 models, including regression models, are supported.

Package: r-cran-lay
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-purrr, r-cran-vctrs, r-cran-tibble
Suggests: r-cran-bench, r-cran-covr, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggbeeswarm, r-cran-knitr, r-cran-rmarkdown, r-cran-slider, r-cran-testthat, r-cran-tidyr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-lay_0.1.3-1.ca2004.1_all.deb
Size: 95108
MD5sum: b5fe29deac5d3fb41e98c8edf4030c5d
SHA1: b900ef9a7537ffe8fa01805f1f372701a2fa96e5
SHA256: e842a2329b8382b0bff48d0d3b70ce8ba952bbee63bc437191c7e0f7e0dd45f7
SHA512: d36154327ad0f3a3d8f37dbe1bb79d6aa14823833e9ac43d3b3e5861b407fa7a36ed0a6dc9fbc76dd9e8e0d1785a040f7815aa9ccb392a0f73971a3bd1d1a6c4
Homepage: https://cran.r-project.org/package=lay
Description: CRAN Package 'lay' (Simple but Efficient Rowwise Jobs)
 Creating efficiently new column(s) in a data frame (including tibble) by
 applying a function one row at a time.

Package: r-cran-layer
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 748
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-ggnewscale, r-cran-ggplot2, r-cran-magrittr, r-cran-raster, r-cran-scico, r-cran-sf, r-cran-stars, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-layer_0.0.3-1.ca2004.1_all.deb
Size: 691436
MD5sum: 1440e3e6209fa1677c2d992d50ac12f0
SHA1: 8eb5018319102b3e0f6bd05c7cdcd5818c49a46c
SHA256: d61d30c0e3e3accc7d9534d003a79723d7750b7a38ae79a0d360de8b5411aa08
SHA512: e1f7440b1a3fd8bf4cde50d8f95460320c3cfffb25327f20a03b7d42e87fd4635536d6194b51961ad2f5f8ba7f4a5c48e3cf60ed0d59ce64610c3eaf39abde4c
Homepage: https://cran.r-project.org/package=layer
Description: CRAN Package 'layer' (Tilt your Maps and Turn Them into 'ggplot' Plots)
 Simplifies the whole process of creating stacked tilted maps, that are often
 used in scientific publications to show different environmental layers for a
 geographical region. Tilting maps and layering them allows to easily draw
 visual correlations between these environmental layers.

Package: r-cran-lazybar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-forecast
Filename: pool/dists/focal/main/r-cran-lazybar_0.1.0-1.ca2004.1_all.deb
Size: 51824
MD5sum: 6fc36505f118d2f8434d7e489bcfaed0
SHA1: ee19ce75d250eb86185f6f9ea648dccad2fe62bf
SHA256: b6e47e7f5ea56603cf9e4319c6e739851b75ff08f5e0af6b5c500b47a5db8253
SHA512: 5eb977df4d01614ad4ed47553e62b599c7cb64f3acf154a0c1dad4304be274e77f01921dcf706c75c83bcd3f52a749164532adf18190318b29a4d4a894298b97
Homepage: https://cran.r-project.org/package=lazybar
Description: CRAN Package 'lazybar' (Progress Bar with Remaining Time Forecast Method)
 A simple progress bar showing estimated remaining time.  Multiple forecast
 methods and user defined forecast method for the remaining time are
 supported.

Package: r-cran-lazydata
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-lazydata_1.1.0-1.ca2004.1_all.deb
Size: 19216
MD5sum: 8628083b8fcac9f0f9db12c2ee375ce3
SHA1: bfc449af676ee5aa48b187df4388cbf2a7bfaf1e
SHA256: c3cccbfcac0fd3abc317e83201af377a9f64266e62ef7dd5307801ca58cd50a8
SHA512: ad3b9f134dece2f3ad5730cbf811ad8f350ababe582b343cf67720f04fafc430eefc6fec8cc322bb01a9279a0bfe9a2476106e47835459eaa5c580b176069ead
Homepage: https://cran.r-project.org/package=lazyData
Description: CRAN Package 'lazyData' (A LazyData Facility)
 Supplies a LazyData facility for packages which have data sets but do not
 provide LazyData: true.  A single function is is included, requireData,
 which is a drop-in replacement for base::require, but carrying the
 additional functionality. By default, it suppresses package startup messages
 as well.  See argument 'reallyQuitely'.

Package: r-cran-lazyraster
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 748
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-vapour, r-cran-quadmesh
Suggests: r-cran-palr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lazyraster_0.5.1-1.ca2004.1_all.deb
Size: 674360
MD5sum: 046d395fd01759b8818049e90bfaae71
SHA1: e1feae1fff32c5cf2597bc1cb55d6e04dd9be743
SHA256: 5f87b9b39058a5c4bd34e988e3a03dec414067ae1c77f507d80ab7f01f8c73fb
SHA512: 5b6515e06adecbc9970b435ab418ac4ee640e87980f6a60568f4f6c8c216d8d423afb222e3c02d53707b0a09c2fdf7c7f9aacce6a485c904ebed2ad5b03fd545
Homepage: https://cran.r-project.org/package=lazyraster
Description: CRAN Package 'lazyraster' (Generate Raster Data Lazily from 'GDAL')
 Read raster data at a specified resolution on-demand via 'GDAL' (the
 Geospatial Data Abstraction Library <https://gdal.org/>). Augments the
 'raster' package by never reading data from a raster source until necessary
 for generating an in-memory 'raster' object. A 'lazyraster' object may be
 cropped and converted to 'raster' object, and by default will only read a
 small amount of data sufficient for an overall summary. The amount of data
 read can be controlled by specifying the output dimensions.

Package: r-cran-lazysf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-dbi, r-cran-tibble, r-cran-dbplyr, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lazysf_0.2.0-1.ca2004.1_all.deb
Size: 327376
MD5sum: b692a2fd53cb83420a244abd4eaecba2
SHA1: 71793b5917524052146ebfd1a08822c4c4a03e4d
SHA256: 036dad8d8f14ed922177f29b8b15728f49a483f23303bfea83dc75a7ad11c380
SHA512: ab7e912c679f9f017ac87306549e4a0faad846d16582205650526b09f2603d125ed7dc065696cdaaa25a79079b99440ad0f3f6ce5f4c7a82682aa967d1e4b70f
Homepage: https://cran.r-project.org/package=lazysf
Description: CRAN Package 'lazysf' (Delayed Read for 'GDAL' Vector Data Sources)
 Lazy read for drawings. A 'dplyr' back end for data sources supported by
 'GDAL' vector drivers, that allows working with local or remote sources as
 if they are in-memory data frames. Basic features works with any drawing
 format ('GDAL vector data source') supported by the 'sf' package.

Package: r-cran-lazysql
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-magrittr, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lazysql_0.1.3-1.ca2004.1_all.deb
Size: 22432
MD5sum: 2bd2ecea339746c01dfd236ea85b4743
SHA1: dc20820bb8f0c66884e8b382237afbf6f77edb73
SHA256: 389ad814a96a2de839a88906bfbb04b1c17a15db832ca1a7230cf3f3c1220aab
SHA512: 53fc18691521d09fe93ef72fd787af6f5051a7ce8f9b2fbe24ef352c0a177caff0661e7b489050ed592836759bc2ad9d9bfa38d976d7c8bb3116dafeb1964937
Homepage: https://cran.r-project.org/package=lazysql
Description: CRAN Package 'lazysql' (Lazy SQL Programming)
 Helper functions to build SQL statements for dbGetQuery or dbSendQuery under
 program control.  They are intended to increase speed of coding and to
 reduce coding errors. Arguments are carefully checked, in particular SQL
 identifiers such as names of tables or columns.  More patterns will be added
 as required.

Package: r-cran-lazytrade
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3767
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-dplyr, r-cran-tibble, r-cran-lubridate, r-cran-ggplot2, r-cran-h2o, r-cran-reinforcementlearning, r-cran-openssl, r-cran-cluster, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-covr, r-cran-magrittr, r-cran-data.table, r-cran-bit64
Filename: pool/dists/focal/main/r-cran-lazytrade_0.5.4-1.ca2004.1_all.deb
Size: 2411948
MD5sum: 4101b103e2317c88040b93e171eac43c
SHA1: baefef18abc6688c8060ec0ae5fae24bfcf2506a
SHA256: 6d2fee31241b22767fd1adcfe047b3349b59b53c5fbaf2c1a2e273d3038a2939
SHA512: 618ce49f88de3fdfedd71ef2aaeca64934e12d302da0f82f2d7c0d7f5eeb015dbb6f890d83196dadd29c4e63cca10b711aa975a60bbd3a2100f50a54daf4a6ae
Homepage: https://cran.r-project.org/package=lazytrade
Description: CRAN Package 'lazytrade' (Learn Computer and Data Science using Algorithmic Trading)
 Provide sets of functions and methods to learn and practice data science
 using idea of algorithmic trading.  Main goal is to process information
 within "Decision Support System" to come up with analysis or predictions.
 There are several utilities such as dynamic and adaptive risk management
 using reinforcement learning and even functions to generate predictions of
 price changes using pattern recognition deep regression learning.  Summary
 of Methods used: Awesome H2O tutorials:
 <https://github.com/h2oai/awesome-h2o>, Market Type research of Van Tharp
 Institute: <https://vantharp.com/>, Reinforcement Learning R package:
 <https://CRAN.R-project.org/package=ReinforcementLearning>.

Package: r-cran-lazyweave
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-labelvector
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lazyweave_3.0.3-1.ca2004.1_all.deb
Size: 273732
MD5sum: 57702df80a2d056e497e329a504914ae
SHA1: 658f75d2760ebc33c22cddd35331c8741bcc7707
SHA256: 868382d0c312ea84fc938b2b8395f8e2a5fe8b7a99807bdff845c623fcf26945
SHA512: aab92e435d8a96f536e74f33f6a49e94ac9b420d4dedb66a7e1c2c5827418f4c536a11b56e4874f46641cf9a7e1e019a6c2d0f034381386b063b842495436b88
Homepage: https://cran.r-project.org/package=lazyWeave
Description: CRAN Package 'lazyWeave' (LaTeX Wrappers for R Users)
 Provides the functionality to write LaTeX code from within R without having
 to learn LaTeX.  Functionality also exists to create HTML and Markdown code.
 While the functionality still exists to write complete documents with
 lazyWeave, it is generally easier to do so with with markdown and knitr.
 lazyWeave's main strength now is the ability to design custom and complex
 tables for reporting results.

Package: r-cran-lba
Architecture: all
Version: 2.4.52-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-alabama, r-cran-plotrix, r-cran-scatterplot3d, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-lba_2.4.52-1.ca2004.1_all.deb
Size: 376840
MD5sum: 8ca9f86acea2b1f1db7461e8b85879d3
SHA1: 56e604e04b2ade4b784e745e367ef7a868b8815d
SHA256: e8dc19ba4d7dd2749e2060b3fc57127f9a7db7299aa4c90f0a6e53f092a31ea2
SHA512: 742e6d6b9a7fa4ec0481e40c972f95e44a0f6785847766f14ccaf4bebd2449f8e70a3a4331ae8a5d61bcb1f32c152bbf35c49d89bc0eca584c83a476c10e7c7b
Homepage: https://cran.r-project.org/package=lba
Description: CRAN Package 'lba' (Latent Budget Analysis for Compositional Data)
 Latent budget analysis is a method for the analysis of a two-way contingency
 table with an exploratory variable and a response variable. It is specially
 designed for compositional data.

Package: r-cran-lbdiscover
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1008
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-igraph, r-cran-matrix, r-cran-rentrez, r-cran-jsonlite
Suggests: r-cran-openxlsx, r-cran-snowballc, r-cran-visnetwork, r-cran-spacyr, r-cran-digest, r-cran-irlba, r-cran-knitr, r-cran-rmarkdown, r-cran-base64enc, r-cran-reticulate, r-cran-testthat, r-cran-mockery, r-cran-covr, r-cran-htmltools, r-cran-data.table, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-lbdiscover_0.1.0-1.ca2004.1_all.deb
Size: 906924
MD5sum: ce4e31406e90aac3bab16584727c04b6
SHA1: 85d61de969573a23a910360b1ec2d832084b4657
SHA256: fec3b108a3afb38210109918f814fcb9fc6f7e39860c7960e423463c6717a3c7
SHA512: a4e70b9b7da1bfacdeda82e3323016cb5f725e184606b6c3384005f5887b7b5e9e2da144576790bccac4971262903a1f06db664a7574d940134b089fd803b0b0
Homepage: https://cran.r-project.org/package=LBDiscover
Description: CRAN Package 'LBDiscover' (Literature-Based Discovery Tools for Biomedical Research)
 A suite of tools for literature-based discovery in biomedical research.
 Provides functions for retrieving scientific articles from 'PubMed' and
 other NCBI databases, extracting biomedical entities (diseases, drugs,
 genes, etc.), building co-occurrence networks, and applying various
 discovery models including 'ABC', 'AnC', 'LSI', and 'BITOLA'. The package
 also includes visualization tools for exploring discovered connections.

Package: r-cran-lbi
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lbi_0.2.2-1.ca2004.1_all.deb
Size: 197728
MD5sum: b59a25b484f6c5ece171e9144fd012a0
SHA1: 649303d7538de5b4cb725f38824ea4a738802268
SHA256: c2a3a1dad2248d49c609127f122c891e1c57be74e3a50f6ecc98833434593003
SHA512: 02e660c5627f505c1d9e52ec6c4c01bf3641280d87d7e8efede0052c49f1d7b08d05384953b29d41be22db85028cfbdc59c2671ec735b74c09fe06470398ea1b
Homepage: https://cran.r-project.org/package=LBI
Description: CRAN Package 'LBI' (Likelihood Based Inference)
 Maximum likelihood estimation and likelihood ratio test are essential for
 modern statistics. This package supports in calculating likelihood based
 inference.  Reference: Pawitan Y. (2001, ISBN:0-19-850765-8).

Package: r-cran-lbm
Architecture: all
Version: 0.9.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lbm_0.9.0.2-1.ca2004.1_all.deb
Size: 70060
MD5sum: eda6d9dfc2edaf2ac5fcd5b5682c4f5a
SHA1: d838ca4117f4e2747dff5ff90f6ab4ff72297c30
SHA256: efbd1944f06beaf4ddf4e8ef8749194e5b546ed1ee678571eab1a515e245387b
SHA512: 761b04be85555286f2d6786baaddafc03947e2eff29f42fc36721812c2318752143f75e6ec57ad2efa36722131616c57dea40f1a29aa578f1c86f1874be78d6e
Homepage: https://cran.r-project.org/package=lbm
Description: CRAN Package 'lbm' (Log Binomial Regression Model in Exact Method)
 Fit the log binomial regression model (LBM) by Exact method. Limited
 parameter space of LBM causes trouble to find admissible estimates and fail
 to converge when MLE is close to or on the boundary of space. Exact method
 utilizes the property of boundary vectors to re-parametrize the model
 without losing any information, and fits the model on the standard fitting
 algorithm with no convergence issues.

Package: r-cran-lboxcox
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey, r-cran-maxlik, r-cran-doparallel, r-cran-foreach, r-cran-mass, r-cran-dplyr, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lboxcox_1.2-1.ca2004.1_all.deb
Size: 159128
MD5sum: 7b7d91264f1bd1d8f86e6fad2b8a3d0a
SHA1: 9e19876b1fa086401cfce01975a38845b691ddc0
SHA256: db654e5a75127d6d7fc813048eff8aa76ddf1c0bc26e3899812f2aadce1454be
SHA512: e73e88519458e7a24cbd4f174b86f14e43bc68b0489a9ae92ade9a58d26f4156d382cf106f219185bcab8704257c37e9f0e94ec38113901bb89b9247e91ff379
Homepage: https://cran.r-project.org/package=lboxcox
Description: CRAN Package 'lboxcox' (Implementation of Logistic Box-Cox Regression)
 Implements a logistic box-cox model. This model is fully described in Xing,
 L. et al. (2021) <doi:10.1002/cjs.11587>.

Package: r-cran-lbpg
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lbpg_0.1.2-1.ca2004.1_all.deb
Size: 20812
MD5sum: 38135405b73ad85d39f0fc242486e5d5
SHA1: 4772cfb2fc2b8570f5f591d5afd79942aa5ea47b
SHA256: 3d17e7b52ecf7c16f3cbd81a6e067511f970ecbf602da22c4311ce10ac13d832
SHA512: 5c8c877dd77cc3de1fedbb6a5f721cae7b1fe1c993520bd8b5177c96ea152c6bdc22d369161b161c227213d10d3d4bf3eca1d7e54d4fe4951dde5679be930003
Homepage: https://cran.r-project.org/package=LBPG
Description: CRAN Package 'LBPG' (The Length-Biased Power Garima Distribution)
 The Length-Biased Power Garima distribution for computes the probability
 density, the cumulative density distribution and the quantile function of
 the distribution, and generates sample values with random variables based on
 Kittipong and Sirinapa(2021)<DOI: 10.14456/sjst-psu.2021.89>.

Package: r-cran-lbreg
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lbreg_1.3-1.ca2004.1_all.deb
Size: 69696
MD5sum: c34f374019dae9b9081650cc11619ba7
SHA1: f07129536c988369eed85856c8a8dafc510e293c
SHA256: 18ece7fecf2a0277523c044b4c50de65ddfa96bb15c4adbf0ad0f2f5cb66c6b6
SHA512: 3e0274f93d788ebd9d5d30f074bfd94d43ac6d194b90892a743e9c00d02cbe0fa755537038dc846113191ad967b3a7fdb9f7fc2fb9a39ba7be88b2f46b9bd1cb
Homepage: https://cran.r-project.org/package=lbreg
Description: CRAN Package 'lbreg' (Log-Binomial Regression with Constrained Optimization)
 Maximum likelihood estimation of log-binomial regression with special
 functionality when the MLE is on the boundary of the parameter space.

Package: r-cran-lca
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lca_0.1.1-1.ca2004.1_all.deb
Size: 44988
MD5sum: 433334df452be1744110403288eeb05a
SHA1: 7c7689aa6c8640ed6172bca97b50a939fe2f6901
SHA256: 19f3753af6cbfdb900b9bbd7e0762e746544e4cd582e071604f0280deb1df101
SHA512: 9e000058027153eed86658c845545726278d949c57a10a81177021ca5f2079b2781decd0653fe09fa8b52cb341a3740ca5dee48490bb7c3d0a21a9ba38d66402
Homepage: https://cran.r-project.org/package=LCA
Description: CRAN Package 'LCA' (Localised Co-Dependency Analysis)
 Performs model fitting and significance estimation for Localised
 Co-Dependency between pairs of features of a numeric dataset.

Package: r-cran-lcaextend
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-mvtnorm, r-cran-rms, r-cran-kinship2
Filename: pool/dists/focal/main/r-cran-lcaextend_1.3-1.ca2004.1_all.deb
Size: 228272
MD5sum: 60cdaf8fea95f4910f3aa5bd6ad96716
SHA1: a4adc1feecf036b6f94ae2e2dbad5a9131f47cbc
SHA256: 576ca155809b7c828ac040ede4dc594176f8e44df3dd3bda1e89f824284a9d1b
SHA512: 7d1b12fd9c57fe3517ed7560b2d3e0feea59357f2b702d6927a2d4f69d80b0503d1164962b57e157337d33dead08cc27ce36365c6414840dc049417f1b59d7dc
Homepage: https://cran.r-project.org/package=LCAextend
Description: CRAN Package 'LCAextend' (Latent Class Analysis (LCA) with Familial Dependence in ExtendedPedigrees)
 Latent Class Analysis of phenotypic measurements in pedigrees and model
 selection based on one of two methods: likelihood-based cross-validation and
 Bayesian Information Criterion. Computation of individual and triplet
 child-parents weights in a pedigree is performed using an upward-downward
 algorithm. The model takes into account the familial dependence defined by
 the pedigree structure by considering that a class of a child depends on his
 parents classes via triplet-transition probabilities of the classes. The
 package handles the case where measurements are available on all subjects
 and the case where measurements are available only on symptomatic (i.e.
 affected) subjects. Distributions for discrete (or ordinal) and continuous
 data are currently implemented. The package can deal with missing data.

Package: r-cran-lcars
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 856
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-trekcolors
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-png, r-cran-ggrepel, r-cran-showtext, r-cran-leaflet, r-cran-leaflet.extras
Filename: pool/dists/focal/main/r-cran-lcars_0.4.1-1.ca2004.1_all.deb
Size: 574984
MD5sum: b2966ad5a87b138637bc10061c9c9f46
SHA1: 2074a87755ac535cc32e0de6e8739f4a93869a01
SHA256: 3ec14d8b7e0025a6ef09d7ef32819cae3eaf4742188d314d36c8d4b7aa989491
SHA512: 8b565f7f26762bd682453b2536c9f9c07fbc4ae3b0ccf17c5c2a8b110a06190b3c15e3204f50dbbb8339f1d20dc328191ead28f1f3edd45754a9e2f0f699f09e
Homepage: https://cran.r-project.org/package=lcars
Description: CRAN Package 'lcars' (LCARS Aesthetic for Shiny)
 Provides Shiny widgets and theme that support a 'Library Computer
 Access/Retrieval System' (LCARS) aesthetic for Shiny apps.  The package also
 includes functions for adding a minimal LCARS theme to static 'ggplot2'
 graphs.  More details about LCARS can be found at
 <https://en.wikipedia.org/wiki/LCARS>.

Package: r-cran-lcavarsel
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polca, r-cran-nnet, r-cran-mass, r-cran-foreach, r-cran-doparallel, r-cran-ga, r-cran-memoise
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lcavarsel_1.1-1.ca2004.1_all.deb
Size: 90052
MD5sum: 8d4bc4a26c83058de59ab62586bca8ba
SHA1: 802a7fa67a7c91cdaabbbae04f1991481e88fb94
SHA256: 06926ca5cf48fb6a2943098d9fb335a67dfcd2b7274d4d6651d846e7462be01f
SHA512: 06f30bfa9b441b2396029f09e455ddd4daa3b26faba59c82b7880a8145a9e6e82ecb486d05967aff59d5aea8a193c21e14629667fed2157c4e4d5044121d75a6
Homepage: https://cran.r-project.org/package=LCAvarsel
Description: CRAN Package 'LCAvarsel' (Variable Selection for Latent Class Analysis)
 Variable selection for latent class analysis for model-based clustering of
 multivariate categorical data. The package implements a general framework
 for selecting the subset of variables with relevant clustering information
 and discard those that are redundant and/or not informative. The variable
 selection method is based on the approach of Fop et al. (2017)
 <doi:10.1214/17-AOAS1061> and Dean and Raftery (2010)
 <doi:10.1007/s10463-009-0258-9>. Different algorithms are available to
 perform the selection: stepwise, swap-stepwise and evolutionary stochastic
 search. Concomitant covariates used to predict the class membership
 probabilities can also be included in the latent class analysis model. The
 selection procedure can be run in parallel on multiple cores machines.

Package: r-cran-lccr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lccr_2.0.1-1.ca2004.1_all.deb
Size: 162280
MD5sum: b0faec3fc70668e763ffb521c53c4713
SHA1: 9898c1ca04b453ab190ce25274ab666210532a40
SHA256: e5e92fdab31ff0992fa486584e44ebf7727976c3667a10ab9f64fa06e2cc386e
SHA512: 8e7c046fad8c039e79e882f42930a7e2804bb6675446cb91223d0d979c6df977bdf335d62337d1c944862f95eb165be4363b7beb35340f8182285de11be11601
Homepage: https://cran.r-project.org/package=LCCR
Description: CRAN Package 'LCCR' (Latent Class Capture-Recapture Models)
 Estimation of latent class models with individual covariates for
 capture-recapture data. See Bartolucci, F. and Forcina, A. (2022),
 Estimating the size of a closed population by modeling latent and observed
 heterogeneity, Biometrics, 80(2), ujae017.

Package: r-cran-lcda
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-polca
Filename: pool/dists/focal/main/r-cran-lcda_0.3.2-1.ca2004.1_all.deb
Size: 75568
MD5sum: ba0d05c23e426f528973e2e504470b59
SHA1: 594dea43e47e2b4150ae0ebed3b5afe0813f95cc
SHA256: 01ce5749c8fb0698abf9bcdcfc0760bbd9e8dc2ea3c8e3767a62df6f61466c39
SHA512: 3a02709640efc4313341245f3f0a9a34d6c438e6a7d2c6d80910aad8c41170d4e3974554618bfdec606641d94ac192c5cca9f0f1d55fed0b8abe9b0981b36c41
Homepage: https://cran.r-project.org/package=lcda
Description: CRAN Package 'lcda' (Latent Class Discriminant Analysis)
 Providing a method for Local Discrimination via Latent Class Models. The
 approach is described in
 <https://www.r-project.org/conferences/useR-2009/abstracts/pdf/Bucker.pdf>.

Package: r-cran-lcf
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-lcf_1.7.0-1.ca2004.1_all.deb
Size: 77648
MD5sum: c7380c9575ccb5e1be26caa869a029cc
SHA1: 6fa686d682b9cdbfecbf861ba8c10fcd2374caf6
SHA256: dc73c05d1e84d4d0720e9be107d03db7b077484bd0510889ae7ec81d95dd8036
SHA512: 144b95ebe3aa4454c48629d87413ad84723d9a71623b25b9308c9481d0853c902e3e43ea99a0ddfbc57eabfecb0d71fd005a999d588764b96ed2432ca09231be
Homepage: https://cran.r-project.org/package=LCF
Description: CRAN Package 'LCF' (Linear Combination Fitting)
 Baseline correction, normalization and linear combination fitting (LCF) of
 X-ray absorption near edge structure (XANES) spectra.  The package includes
 data loading of .xmu files exported from 'ATHENA' (Ravel and Newville, 2005)
 <doi:10.1107/S0909049505012719>.  Loaded spectra can be background corrected
 and all standards can be fitted at once.  Two linear combination fitting
 functions can be used: (1) fit_athena(): Simply fitting combinations of
 standards as in ATHENA, (2) fit_float(): Fitting all standards with changing
 baseline correction and edge-step normalization parameters.

Package: r-cran-lcfdata
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1702
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lcfdata_2.0-1.ca2004.1_all.deb
Size: 1711912
MD5sum: ce1d8f4d646e33dfd1dc31e568e79c52
SHA1: 3e8bd3d8dcf84a88a584adf73854599501459417
SHA256: 8d283346bed0122745dbf4f9c384ed2fd6b4701950401a9a37420641a59ba8e7
SHA512: 08c3b08b2e4622e5dbe29ed31ccc3d129d46f8cd13781e5d2e6706c5024faa0f3794a523619d685022180a0bc851b203676afb6b6064f43ffe0b206af0a88c6f
Homepage: https://cran.r-project.org/package=LCFdata
Description: CRAN Package 'LCFdata' (Data sets for package ``LMERConvenienceFunctions'')
 This package contains (1) event-related brain potential data recorded from
 10 participants at electrodes Fz, Cz, Pz, and Oz (0--300 ms) in the context
 of Antoine Tremblay's PhD thesis (Tremblay, 2009); (2) ERP amplitudes at
 electrode Fz restricted to the 100 to 175 millisecond time window; and (3)
 plotting data generated from a linear mixed-effects model.

Package: r-cran-lchemix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lchemix_0.1.0-1.ca2004.1_all.deb
Size: 265472
MD5sum: b50e11b5c9604ce2e45dd9d6aa99e538
SHA1: b427c12369333495a1d38803960109b388f62d5d
SHA256: 2cae511d86ad57391545969f87e09df0612663e0079c0dfc02957d4d61a9ae05
SHA512: be2908c9083a99fa2444711bb4b526794e650c8bcb9d408ee76807e82d8e40ebd2d9f3c8215c246888c5ab7a2dec4d936e72779d759f27991c2724db150d26af
Homepage: https://cran.r-project.org/package=lchemix
Description: CRAN Package 'lchemix' (A Bayesian Multi-Dimensional Couple-Based Latent Risk Model)
 A joint latent class model where a hierarchical structure exists, with an
 interaction between female and male partners of a couple. A Bayesian
 perspective to inference and Markov chain Monte Carlo algorithms to obtain
 posterior estimates of model parameters. The reference paper is: Beom Seuk
 Hwang, Zhen Chen, Germaine M.Buck Louis, Paul S. Albert, (2018) "A Bayesian
 multi-dimensional couple-based latent risk model with an application to
 infertility". Biometrics, 75, 315-325. <doi:10.1111/biom.12972>.

Package: r-cran-lcmsqa
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bsplus, r-cran-data.table, r-cran-dt, r-cran-ggplot2, r-cran-plotly, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets
Suggests: r-cran-biocmanager, r-bioc-xcms, r-bioc-msnbase, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lcmsqa_1.0.2-1.ca2004.1_all.deb
Size: 561388
MD5sum: 6c27f26978a195ef48b8cb8c3684140e
SHA1: 76472a2c37aacc1453f5c5166e8ed98ad20af5c7
SHA256: 28bfb207656bfaa639eead995ffa25329c49da891a845054868cc617d23fe4d4
SHA512: 3d6b1508b06eff166d59ba6e4948bedf47d6eddc8ed013b177e0a1442e11d3ce10b626a5dc29f43cc084b8854868a728fb7c8101aad6682632968ad7aa295bbd
Homepage: https://cran.r-project.org/package=LCMSQA
Description: CRAN Package 'LCMSQA' (Liquid Chromatography/Mass Spectrometry (LC/MS) QualityAssessment)
 The goal of 'LCMSQA' is to make it easy to check the quality of liquid
 chromatograph/mass spectrometry (LC/MS) experiments using a 'shiny'
 application. This package provides interactive data visualizations for
 quality control (QC) samples, including total ion current chromatogram
 (TIC), base peak chromatogram (BPC), mass spectrum, extracted ion
 chromatogram (XIC), and feature detection results from internal standards or
 known metabolites.

Package: r-cran-lcox
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fdapace, r-cran-survival
Filename: pool/dists/focal/main/r-cran-lcox_0.1.0-1.ca2004.1_all.deb
Size: 26404
MD5sum: 9cb0124f137f236c6bc762135db13e7a
SHA1: f89c0549006f153697966837c2b682b7ffcfa49c
SHA256: 7cd303c587f5a3cdf6905e395555760d0a0dd9f65a14b4be291535ab6fd24398
SHA512: e44e8469777b2e8d181ef34d035df1ba4558c41d484e8f6cee967518334fe341acbb190812b810dda589d72aec167ed72322948e2f02bdfe8167924ede1e3dd0
Homepage: https://cran.r-project.org/package=LCox
Description: CRAN Package 'LCox' (A Tool for Selecting Genes Related to Survival Outcomes usingLongitudinal Gene Expression Data)
 Longitudinal genomics data and survival outcome are common in biomedical
 studies. It is of great interest to select genes related to the survival
 outcome. LCox is a computationally efficient tool for selecting genes
 related to the survival outcome using the longitudinal genomics data. LCox
 is powerful to detect different forms of dependence between the longitudinal
 biomarkers and the survival outcome.

Package: r-cran-lcpm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-numderiv, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lcpm_0.1.1-1.ca2004.1_all.deb
Size: 43484
MD5sum: 19698a35fae08034ae70dec97f999d3e
SHA1: f70f6e7431a8693bc720900a0ed2046adab71acb
SHA256: dd196af311f9e17e5af50dc79234b9234aa226a353b1a5c33cf98a185e951dce
SHA512: 32efea3aa7b44305fa20eb40872bbd1783b434e7c37a25b6548fd729f6aa2c8282e8ab63d4367792f146d0d7fc1b3bc7aab8ccc9e329148f0638a4ef8cf47231
Homepage: https://cran.r-project.org/package=lcpm
Description: CRAN Package 'lcpm' (Ordinal Outcomes: Generalized Linear Models with the Log Link)
 An implementation of the Log Cumulative Probability Model (LCPM) and
 Proportional Probability Model (PPM) for which the Maximum Likelihood
 Estimates are determined using constrained optimization.  This
 implementation accounts for the implicit constraints on the parameter space.
 Other features such as standard errors, z tests and p-values use standard
 methods adapted from the results based on constrained optimization.

Package: r-cran-lcra
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-coda, r-cran-rjags
Suggests: r-cran-r2winbugs, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-lcra_1.1.5-1.ca2004.1_all.deb
Size: 122048
MD5sum: 8d8158cd0cd55ac21b595faa9de3705a
SHA1: 6c78b6d216a3e7163f773fb825027dbc38a3b7af
SHA256: 6350417a180d856067e158afe118eaff270a2f92982e7129cdbe91b477c2b5d6
SHA512: 8fb7573de83491a149b8a644e19bf1885a6f79417ba95eb47cffdf78390888e3fb7d0925b7c4214da8ef5a12ae8f4d82e0f6d0a815b01126df6c28a99eda3f01
Homepage: https://cran.r-project.org/package=lcra
Description: CRAN Package 'lcra' (Bayesian Joint Latent Class and Regression Models)
 For fitting Bayesian joint latent class and regression models using Gibbs
 sampling. See the documentation for the model.  The technical details of the
 model implemented here are described in Elliott, Michael R., Zhao,
 Zhangchen, Mukherjee, Bhramar, Kanaya, Alka, Needham, Belinda L., "Methods
 to account for uncertainty in latent class assignments when using latent
 classes as predictors in regression models, with application to
 acculturation strategy measures" (2020) In press at Epidemiology
 <doi:10.1097/EDE.0000000000001139>.

Package: r-cran-lcsm
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1358
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-ggplot2, r-cran-broom, r-cran-semplot, r-cran-stringr, r-cran-purrr, r-cran-cli
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-lcsm_0.3.2-1.ca2004.1_all.deb
Size: 1003264
MD5sum: bd8ae915fe9b258f2dfacd2bf53c61db
SHA1: 4818013d0985d2a0e57f3e60c090ae1edfc39cb3
SHA256: c69d6dae2727b655c17fa5df3fbc0e93223b19fd1c8516620e7ec39826f1618a
SHA512: 2490d169a54a4229bc03d83a2b0400ff3d503d05d3fafd1e938df2fb1f7238dca1daf3519b8fcc14eb3c302a8f1cdd148acc23b45855a81f8d7a3ab8ef7f9e72
Homepage: https://cran.r-project.org/package=lcsm
Description: CRAN Package 'lcsm' (Univariate and Bivariate Latent Change Score Modelling)
 Helper functions to implement univariate and bivariate latent change score
 models in R using the 'lavaan' package.  For details about Latent Change
 Score Modeling (LCSM) see McArdle (2009)
 <doi:10.1146/annurev.psych.60.110707.163612> and Grimm, An, McArdle,
 Zonderman and Resnick (2012) <doi:10.1080/10705511.2012.659627>.  The
 package automatically generates 'lavaan' syntax for different model
 specifications and varying timepoints.  The 'lavaan' syntax generated by
 this package can be returned and further specifications can be added
 manually.  Longitudinal plots as well as simplified path diagrams can be
 created to visualise data and model specifications.  Estimated model
 parameters and fit statistics can be extracted as data frames.  Data for
 different univariate and bivariate LCSM can be simulated by specifying
 estimates for model parameters to explore their effects.  This package
 combines the strengths of other R packages like 'lavaan', 'broom', and
 'semPlot' by generating 'lavaan' syntax that helps these packages work
 together.

Package: r-cran-lctools
Architecture: all
Version: 0.2-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2214
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-reshape, r-cran-weights, r-cran-pscl, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lctools_0.2-10-1.ca2004.1_all.deb
Size: 2142648
MD5sum: e3c74cbda0b40e6266fed5ce4aa89723
SHA1: c8d6a909ead019792e5dddc86b2cf3eb762b6ee9
SHA256: 66d4b8c53edfc9e9f4f2038a1f1a9dd48d41392a4006a11769d20b27098b9d3e
SHA512: 9b4ad086a02fda639b235f7f58bb6643d91c9d4255a733aa8afe154cfe20aced337b4414e4f45e0af6a1733a458e4aebab544ea7ed986c3d923a30d669a0a18e
Homepage: https://cran.r-project.org/package=lctools
Description: CRAN Package 'lctools' (Local Correlation, Spatial Inequalities, Geographically WeightedRegression and Other Tools)
 Provides researchers and educators with easy-to-learn user friendly tools
 for calculating key spatial statistics and to apply simple as well as
 advanced methods of spatial analysis in real data.  These include: Local
 Pearson and Geographically Weighted Pearson Correlation Coefficients,
 Spatial Inequality Measures (Gini, Spatial Gini, LQ, Focal LQ), Spatial
 Autocorrelation (Global and Local Moran's I), several Geographically
 Weighted Regression techniques and other Spatial Analysis tools (other
 geographically weighted statistics). This package also contains functions
 for measuring the significance of each statistic calculated, mainly based on
 Monte Carlo simulations.

Package: r-cran-lcyanalysis
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantmod, r-cran-ttr, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-lcyanalysis_1.0.4-1.ca2004.1_all.deb
Size: 119556
MD5sum: 87043d4057540192c9041d047e718e2d
SHA1: 6a9c51ee5bfde9dbfb0eb2b91842dca694bb2c66
SHA256: f1b222a55d799598bec0dc6a91fc4669c0897186c9c86183f3cc1a68d3234767
SHA512: 42f6c27b98404883e1d00ab6af952bd9b014677f8eb6c0a8f2747e1e0ef15b5272d3fd37613d04b3666138d081ed640249263990c7578056ce5120ec0e4dfb0b
Homepage: https://cran.r-project.org/package=lcyanalysis
Description: CRAN Package 'lcyanalysis' (Stock Data Analysis Functions)
 Analysis of stock data ups and downs trend, the stock technical analysis
 indicators function have trend line, reversal pattern and market trend.

Package: r-cran-ldabiplots
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2984
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinyalert, r-cran-shinybusy, r-cran-shinyjs, r-cran-shinycssloaders, r-cran-dplyr, r-cran-ggplot2, r-cran-rvest, r-cran-dt, r-cran-highcharter, r-cran-tidyr, r-cran-snowballc, r-cran-ldatuning, r-cran-topicmodels, r-cran-textminer, r-cran-chinese.misc, r-cran-stringr, r-cran-htmlwidgets, r-cran-ggrepel, r-cran-textplot, r-cran-glasso, r-cran-qgraph, r-cran-matrix, r-cran-factoextra, r-cran-quanteda
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-beepr, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-ldabiplots_0.1.2-1.ca2004.1_all.deb
Size: 1476304
MD5sum: 8c58776d61628b0d06f623ba64c4fb13
SHA1: 125a733d936f3c84eec8643d5f9ef1fbeddc9c16
SHA256: 531f42e07dddec60a2396e88c53a8d72ca37e7ecd91cd1990e9173586e4b1fc0
SHA512: 504b467a358bc810a59bcbdceec9ad4cca8374ee9e1ab777e40db55222b6bd598b3deb9cca70db77a4eb4f3e26dbe7e814a037d62d635fafa10ec42f578a52b6
Homepage: https://cran.r-project.org/package=LDABiplots
Description: CRAN Package 'LDABiplots' (Biplot Graphical Interface for LDA Models)
 Contains the development of a tool that provides a web-based graphical user
 interface (GUI) to perform Biplots representations from a scraping of news
 from digital newspapers under the Bayesian approach of Latent Dirichlet
 Assignment (LDA) and machine learning algorithms. Contains LDA methods
 described by Blei , David M., Andrew Y. Ng and Michael I. Jordan (2003)
 <https://jmlr.org/papers/volume3/blei03a/blei03a.pdf>, and Biplot methods
 described by Gabriel K.R(1971) <doi:10.1093/biomet/58.3.453> and
 Galindo-Villardon P(1986)
 <https://diarium.usal.es/pgalindo/files/2012/07/Questiio.pdf>.

Package: r-cran-ldacoop
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ldacoop_0.1.2-1.ca2004.1_all.deb
Size: 200040
MD5sum: 6bd72c01e49a003a556b3124cadec873
SHA1: a7689d782c484b9d6a4dfec21e9bb439fe12c04a
SHA256: ffa1fe1a7eacbc3c7f7d9071918a02aaa9e6d00ce48e0fc66e6e9eab17a7cd50
SHA512: d62b23d0188fd9cc8ac74aecdd4274942d47321447d3f4e6a2488d275e92906db93f71fb1d24804b76994081df8befad6196a10349e32d060bb59c02dba2d71a
Homepage: https://cran.r-project.org/package=LDAcoop
Description: CRAN Package 'LDAcoop' (Analysis of Data from Limiting Dilution Assay (LDA) with orwithout Cellular Cooperation)
 Cellular cooperation compromises the established method of calculating
 clonogenic activity from limiting dilution assay (LDA) data.  This tool
 provides functions that enable robust analysis in presence or absence of
 cellular cooperation. The implemented method incorporates the same
 cooperativity module to model the non-linearity associated with cellular
 cooperation as known from the colony formation assay (Brix et al.  (2021)
 <doi:10.1038/s41596-021-00615-0>: "Analysis of clonogenic growth in vitro."
 Nature protocols).

Package: r-cran-ldamatch
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-runit, r-cran-data.table, r-cran-entropy, r-cran-foreach, r-cran-iterators, r-cran-iterpc, r-cran-ksamples, r-cran-car, r-cran-gmp
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-ldamatch_1.0.3-1.ca2004.1_all.deb
Size: 223316
MD5sum: 701c8835380f2e5235bd6e69b6ae7be6
SHA1: ef977bf7a3bbccefac546fff96971a2f1aa5e1ca
SHA256: f6cf31fcd88a647da5964c46b97ef420fd47c43f6e3d3bcc75388b05887c1a6e
SHA512: 4d79b020095cda74106c73e1598d824e184f581ad980fac4c830f40d8c670cd99eff4b2cfc7cb92655dca0e47e3bd4528c780be3b697a09838145308fd69251a
Homepage: https://cran.r-project.org/package=ldamatch
Description: CRAN Package 'ldamatch' (Selection of Statistically Similar Research Groups)
 Select statistically similar research groups by backward selection using
 various robust algorithms, including a heuristic based on linear
 discriminant analysis, multiple heuristics based on the test statistic, and
 parallelized exhaustive search.

Package: r-cran-ldaprototype
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-batchtools, r-cran-checkmate, r-cran-colorspace, r-cran-data.table, r-cran-dendextend, r-cran-fs, r-cran-future, r-cran-lda, r-cran-parallelmap, r-cran-progress
Suggests: r-cran-covr, r-cran-rcolorbrewer, r-cran-testthat, r-cran-tosca
Filename: pool/dists/focal/main/r-cran-ldaprototype_0.3.1-1.ca2004.1_all.deb
Size: 257304
MD5sum: a2f73d7176871c2d9cb75c0c6742ea9f
SHA1: 504afdf91936fa30cb0114fb0f25b3ba6a04944a
SHA256: 75cd2a47a99940c63b8492296c38e9f5f777509d76597c366c4ad82557259a2e
SHA512: abd01e81056e39012c56b63487268fc1b20ccbf15619dbf6c19e74b9c32889713a4d595a183fd1bd541bc08df7413b1318bd87073c726ae0b711e631740b51f6
Homepage: https://cran.r-project.org/package=ldaPrototype
Description: CRAN Package 'ldaPrototype' (Prototype of Multiple Latent Dirichlet Allocation Runs)
 Determine a Prototype from a number of runs of Latent Dirichlet Allocation
 (LDA) measuring its similarities with S-CLOP: A procedure to select the LDA
 run with highest mean pairwise similarity, which is measured by S-CLOP
 (Similarity of multiple sets by Clustering with Local Pruning), to all other
 runs. LDA runs are specified by its assignments leading to estimators for
 distribution parameters. Repeated runs lead to different results, which we
 encounter by choosing the most representative LDA run as prototype.

Package: r-cran-ldashiny
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-beepr, r-cran-broom, r-cran-chinese.misc, r-cran-dplyr, r-cran-dt, r-cran-highcharter, r-cran-htmlwidgets, r-cran-ldatuning, r-cran-plotly, r-cran-purrr, r-cran-quanteda, r-cran-shiny, r-cran-shinyalert, r-cran-shinybs, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-snowballc, r-cran-stringr, r-cran-textminer, r-cran-tidyr, r-cran-tidytext, r-cran-tm, r-cran-topicmodels
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rmpfr, r-cran-scales, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ldashiny_0.9.3-1.ca2004.1_all.deb
Size: 667292
MD5sum: b66a3bc33cac45426a8ee1553b2f2b89
SHA1: 7cd9e5a16408a75d6b7be5433171486c91929792
SHA256: c5c8671ffef0ec18491d7dd96259ee9e9ede52a5e65a803f73c455f74b7ec646
SHA512: d5a3ff56848ec9735bcc927285c097bd77db61641c8c0a997c2755dab44e0ce124c6b71b01821a8fdca808fc835d60b46d07b3fd5f2d1bd6dbb2993b22ca9618
Homepage: https://cran.r-project.org/package=LDAShiny
Description: CRAN Package 'LDAShiny' (User-Friendly Interface for Review of Scientific Literature)
 Contains the development of a tool that provides a web-based graphical user
 interface (GUI) to perform a review of the scientific literature under the
 Bayesian approach of Latent Dirichlet Allocation (LDA)and machine learning
 algorithms. The application methodology is framed by the well known
 procedures in topic modelling on how to clean and process data. Contains
 methods described by Blei, David M., Andrew Y. Ng, and Michael I. Jordan
 (2003) <https://jmlr.org/papers/volume3/blei03a/blei03a.pdf> Allocation";
 Thomas L. Griffiths and Mark Steyvers (2004) <doi:10.1073/pnas.0307752101> ;
 Xiong Hui, et al (2019) <doi:10.1016/j.cie.2019.06.010>.

Package: r-cran-ldatree
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-folda, r-cran-ggplot2, r-cran-magrittr, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ldatree_0.2.0-1.ca2004.1_all.deb
Size: 1058696
MD5sum: 544c40d0f31e8677c558dbca63985ba0
SHA1: 3f59f3e7e6272e7900bf7a6fb1e3ddaf28c41014
SHA256: 5974819085bfe0520289d52110e85944e4cebb91e8484e5e5fc247d210b517a9
SHA512: 172a524ae64dbdafb34b2334d316a03a0550e8eef68333778092905a78fd09e2b62c3af73cbb474e89979b586bd9991033bf08d068842173e2e0dffb7c2eca58
Homepage: https://cran.r-project.org/package=LDATree
Description: CRAN Package 'LDATree' (Oblique Classification Trees with Uncorrelated LinearDiscriminant Analysis Splits)
 A classification tree method that uses Uncorrelated Linear Discriminant
 Analysis (ULDA) for variable selection, split determination, and model
 fitting in terminal nodes.  It automatically handles missing values and
 offers visualization tools. For more details, see Wang (2024)
 <doi:10.48550/arXiv.2410.23147>.

Package: r-cran-ldats
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 848
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-digest, r-cran-extradistr, r-cran-lubridate, r-cran-magrittr, r-cran-memoise, r-cran-mvtnorm, r-cran-nnet, r-cran-progress, r-cran-topicmodels, r-cran-viridis
Suggests: r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ldats_0.3.0-1.ca2004.1_all.deb
Size: 554848
MD5sum: e7c846bfe086d5fd82935210969f4966
SHA1: a6b65518b601f3f46d1fe979fc54eb31b3754aee
SHA256: addc7d7c678faa144a0f116371116a1068a9ca30a3ed509722ed373f94b0a431
SHA512: 6d4cd9cc0acad7bc7794e83963cbde54e3fde1c9781d0c495389083089526f86bb7ffe1dd452568a1b661c0ad8a3f744b446c0e6e7f2deb53665f30064eb4bc2
Homepage: https://cran.r-project.org/package=LDATS
Description: CRAN Package 'LDATS' (Latent Dirichlet Allocation Coupled with Time Series Analyses)
 Combines Latent Dirichlet Allocation (LDA) and Bayesian multinomial time
 series methods in a two-stage analysis to quantify dynamics in
 high-dimensional temporal data. LDA decomposes multivariate data into
 lower-dimension latent groupings, whose relative proportions are modeled
 using generalized Bayesian time series models that include abrupt
 changepoints and smooth dynamics. The methods are described in Blei et al.
 (2003) <doi:10.1162/jmlr.2003.3.4-5.993>, Western and Kleykamp (2004)
 <doi:10.1093/pan/mph023>, Venables and Ripley (2002,
 ISBN-13:978-0387954578), and Christensen et al. (2018)
 <doi:10.1002/ecy.2373>.

Package: r-cran-ldatuning
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-topicmodels, r-cran-slam, r-cran-rmpfr, r-cran-ggplot2, r-cran-reshape2, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ldatuning_1.0.2-1.ca2004.1_all.deb
Size: 495816
MD5sum: 1d0bebc5036389828211d4c3213b530b
SHA1: f9355aa1531760cf3f68bf0c99c947613f34927f
SHA256: ce0b46e39e11bb8690e2fea009a9a63544fb010e818c4fc4a7c735f6947daf56
SHA512: 9ce7bd562ab0d2f38100d1112eb05046a6a3f7ea8185c2110101697caa5fe6a7d36ffa8f864ecc97c137ebb7c90b564dd0593343777503d41531c4e2d8170655
Homepage: https://cran.r-project.org/package=ldatuning
Description: CRAN Package 'ldatuning' (Tuning of the Latent Dirichlet Allocation Models Parameters)
 For this first version only metrics to estimate the best fitting number of
 topics are implemented.

Package: r-cran-ldavis
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2646
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proxy, r-cran-rjsonio
Suggests: r-cran-mallet, r-cran-lda, r-cran-topicmodels, r-cran-gistr, r-cran-servr, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-digest, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-ldavis_0.3.2-1.ca2004.1_all.deb
Size: 2091768
MD5sum: 37dd945e9b5e8f627bc7d4eb6ffb7dc4
SHA1: 03f5925c20d89342c7454581dec924f0b53ed983
SHA256: 1ff84f7fea8fd92f37a5b6ddf7ecb5592b73380503855035b00096e176641eb8
SHA512: 41ea1c2f91a6d4a612d5804a7de9217dc5971812e6dc8d0439e0592baf814386da99058714409748242e3830035eecc8ad2398107bc5fd2d5a123a629155ce1c
Homepage: https://cran.r-project.org/package=LDAvis
Description: CRAN Package 'LDAvis' (Interactive Visualization of Topic Models)
 Tools to create an interactive web-based visualization of a topic model that
 has been fit to a corpus of text data using Latent Dirichlet Allocation
 (LDA). Given the estimated parameters of the topic model, it computes
 various summary statistics as input to an interactive visualization built
 with D3.js that is accessed via a browser. The goal is to help users
 interpret the topics in their LDA topic model.

Package: r-cran-ldbod
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-ldbod_0.1.2-1.ca2004.1_all.deb
Size: 43964
MD5sum: a79d64049584bbb7ef299f70d9515b95
SHA1: f286f67a539dd8646621c0b43e8a43be95db40d2
SHA256: 4e4c7e4944e469e0600a99249c6b88a2a829b35b8b06620c036a7b086fae1cb1
SHA512: 2a652e8584c05971e8a16d0d6a321365af341dedc649205b8837a7c6e0875d88b4e14e87e3839b0d012659ef556c5d234651450aff7a19b27747e3d2e36ed56d
Homepage: https://cran.r-project.org/package=ldbod
Description: CRAN Package 'ldbod' (Local Density-Based Outlier Detection)
 Flexible procedures to compute local density-based outlier scores for
 ranking outliers.  Both exact and approximate nearest neighbor search can be
 implemented, while also accommodating multiple neighborhood sizes and four
 different local density-based methods. It allows for referencing a random
 subsample of the input data or a user specified reference data set to
 compute outlier scores against, so both unsupervised and semi-supervised
 outlier detection can be implemented.

Package: r-cran-ldbounds
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ldbounds_2.0.2-1.ca2004.1_all.deb
Size: 228836
MD5sum: 8b702d88ff9175df182eab098a980bb5
SHA1: 0bbb92df8ad6da1abfb97a0c9b6dae7691f879fc
SHA256: f564d33c3ee39f002bcecbded99beadf14deebf92e9dcba5f1d77b2596fd7b24
SHA512: a0141fe02fff6579796f479c8828a422e6749e503a7ec448b9b8768c92a2680e8723a14bb0c6e7e403f9b3a5f63c410a28b812739f4ad5cb666ca88964edd7a8
Homepage: https://cran.r-project.org/package=ldbounds
Description: CRAN Package 'ldbounds' (Lan-DeMets Method for Group Sequential Boundaries)
 Computations related to group sequential boundaries.  Includes calculation
 of bounds using the Lan-DeMets alpha spending function approach. Based on
 FORTRAN program ld98 implemented by Reboussin, et al. (2000)
 <doi:10.1016/s0197-2456(00)00057-x>.

Package: r-cran-ldcorsv
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ldcorsv_1.3.3-1.ca2004.1_all.deb
Size: 71948
MD5sum: e98cc5bfc9e0013da15b1958329252e9
SHA1: 981192b132101a9c29b51da8aa57000c50cd4f9c
SHA256: 787e214a7ca009806d5dced2d41f16c1dc8eecea1498267a743645db762fc927
SHA512: 4e685f5c0e1611605ff72dda0f02590d4fb9fa739210edf3df37904799439cc297b9481ce98ebac68edf590a14641d6a6ae5bc2c92fe70398d7538a45ccdb423
Homepage: https://cran.r-project.org/package=LDcorSV
Description: CRAN Package 'LDcorSV' (Linkage Disequilibrium Corrected by the Structure and theRelatedness)
 Four measures of linkage disequilibrium are provided: the usual r^2 measure,
 the r^2_S measure (r^2 corrected by the structure sample), the r^2_V (r^2
 corrected by the relatedness of genotyped individuals), the r^2_VS measure
 (r^2 corrected by both the relatedness of genotyped individuals and the
 structure of the sample).

Package: r-cran-ldhmm
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1489
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gnorm, r-cran-optimx, r-cran-xts, r-cran-zoo, r-cran-moments, r-cran-scales, r-cran-ggplot2, r-cran-yaml
Suggests: r-cran-knitr, r-cran-testthat, r-cran-depmixs4, r-cran-roxygen2, r-cran-r.rsp, r-cran-shape
Filename: pool/dists/focal/main/r-cran-ldhmm_0.6.1-1.ca2004.1_all.deb
Size: 1466960
MD5sum: 9845173048b15ce20d1420a4848c82af
SHA1: 790afc48deea1c42cc26226c913cc87be3f5e80f
SHA256: 295d5fc01a174ed752194122f8b50acc737e9c62166a75903cbf657d8fade81d
SHA512: 1edf5e587badb6faf7f20aa6ff95f2a66492652c59d994a8cc842372300d21a08b25759acc9e93a503a134061121e2c696bb040f58a039cb7872d86c969bac96
Homepage: https://cran.r-project.org/package=ldhmm
Description: CRAN Package 'ldhmm' (Hidden Markov Model for Financial Time-Series Based on LambdaDistribution)
 Hidden Markov Model (HMM) based on symmetric lambda distribution framework
 is implemented for the study of return time-series in the financial market.
 Major features in the S&P500 index, such as regime identification,
 volatility clustering, and anti-correlation between return and volatility,
 can be extracted from HMM cleanly. Univariate symmetric lambda distribution
 is essentially a location-scale family of exponential power distribution.
 Such distribution is suitable for describing highly leptokurtic time series
 obtained from the financial market. It provides a theoretically solid
 foundation to explore such data where the normal distribution is not
 adequate. The HMM implementation follows closely the book: "Hidden Markov
 Models for Time Series", by Zucchini, MacDonald, Langrock (2016).

Package: r-cran-ldlcalc
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2144
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-caret, r-cran-caretensemble, r-cran-lares, r-cran-corrplot, r-cran-rcolorbrewer, r-cran-lattice, r-cran-resample, r-cran-moments, r-cran-ggplot2, r-cran-janitor, r-cran-philentropy
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-cubist, r-cran-earth, r-cran-gbm, r-cran-glmnet, r-cran-gridextra, r-cran-kernlab, r-cran-randomforest, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ldlcalc_2.1-1.ca2004.1_all.deb
Size: 1904920
MD5sum: 1f4501a7c70d67fd09f8ec089f0a6e83
SHA1: bb9d1be7884bd9f71908827fbcb164fa6863ea61
SHA256: 43b87ea05d6836cf16d4e8bc9c7c4ddc3b58fcef3ef3fd938c7898559caf5f5f
SHA512: 83985aef955c782f95286dbfbc4c4a0e0bc16df4c95974f82e8e2d0c6ffbba122e60b74bb08d442330c43be1ebef4bcac6dd26b91fe62e17e5db22858223d000
Homepage: https://cran.r-project.org/package=LDLcalc
Description: CRAN Package 'LDLcalc' (Calculate and Predict the Low Density Lipoprotein Values)
 A wide variety of ways to calculate (through equations) or predict (using 9
 Machine learning methods as well as a stack algorithm combination of them
 all) the Low Density Lipoprotein values of patients based on the values of
 three other metrics, namely Total Cholesterol , Triglycerides and High
 Density Lipoprotein. It can also calculate the variance of LDL and the
 Atherogenic Index of Plasma (AIP) using error propagation and bootstrapping.

Package: r-cran-ldlinkr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ldlinkr_1.4.0-1.ca2004.1_all.deb
Size: 152644
MD5sum: 057c5fba0d45a789b4de48c149a4e3be
SHA1: f771dc6c327ed911853017e5c05e3e81203b6801
SHA256: efcb847a71fe449892bbf054cc247cd336d7ae893f8abcc7384453350dd94148
SHA512: 1606f7bc72664302ad6d18c6749bfadd8d07c08b63badd437991b34063bdd65d3cce04048a00e0cbfc8b1976985f64700668ad3012affd89fffee78228aebb24
Homepage: https://cran.r-project.org/package=LDlinkR
Description: CRAN Package 'LDlinkR' (Calculating Linkage Disequilibrium (LD) in Human PopulationGroups of Interest)
 Provides access to the 'LDlink' API
 (<https://ldlink.nih.gov/?tab=apiaccess>) using the R console.  This
 programmatic access facilitates researchers who are interested in performing
 batch queries in 1000 Genomes Project (2015) <doi:10.1038/nature15393> data
 using 'LDlink'. 'LDlink' is an interactive and powerful suite of web-based
 tools for querying germline variants in human population groups of interest.
 For more details, please see Machiela et al. (2015)
 <doi:10.1093/bioinformatics/btv402>.

Package: r-cran-ldm
Architecture: all
Version: 6.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 864
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gunifrac, r-cran-vegan, r-cran-permute, r-bioc-biocparallel, r-cran-matrixstats, r-cran-castor, r-cran-phangorn, r-cran-modeest
Suggests: r-cran-r.rsp, r-cran-testthat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ldm_6.0.1-1.ca2004.1_all.deb
Size: 803192
MD5sum: f59b26d4ee9f429093293289f8b65734
SHA1: fd2cb661ce02dba3cfcfd03b022f6872020a66e3
SHA256: 7938257e3d9bc72eb1fbda53291d24249271f13a71d9682ba0cf342cc6d8b4e7
SHA512: eef079aa9a649fa5f693c58b8511efea0a2b612eefee8d8bdbbcc49c70244686d239c1d7dca5583ee656db3ab4614a49b7aed72a9b429807a34f80c8067925f0
Homepage: https://cran.r-project.org/package=LDM
Description: CRAN Package 'LDM' (Testing Hypotheses About the Microbiome using the LinearDecomposition Model)
 A single analysis path that includes distance-based ordination, global tests
 of any effect of the microbiome, and tests of the effects of individual taxa
 with false-discovery-rate (FDR) control. It accommodates both continuous and
 discrete covariates as well as interaction terms to be tested either singly
 or in combination, allows for adjustment of confounding covariates, and uses
 permutation-based p-values that can control for sample correlations. It can
 be applied to transformed data, and an omnibus test can combine results from
 analyses conducted on different transformation scales. It can also be used
 for testing presence-absence associations based on infinite number of
 rarefaction replicates, testing mediation effects of the microbiome,
 analyzing censored time-to-event outcomes, and for compositional analysis by
 fitting linear models to centered-log-ratio taxa count data.

Package: r-cran-ldnn
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keras, r-cran-devtools, r-cran-reticulate, r-cran-tensorflow
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ldnn_1.10-1.ca2004.1_all.deb
Size: 29544
MD5sum: 95b03102d596248470fb5f956826ffe3
SHA1: 45d6f04e1547b59ee486d62578c16f3f1f593b22
SHA256: e039e4119a10ba16ff585f83d460cc9492bee9686787765e3e261feaacc6a17e
SHA512: 5bcc33a60f328c8338abd1f060a4f3161cd4524a7c32a85aad177c8b4edfeee6d80c489c6cf1eb95673f269926c13fdb879502c4d1522a8aa829cfa16ee41c77
Homepage: https://cran.r-project.org/package=LDNN
Description: CRAN Package 'LDNN' (Longitudinal Data Neural Network)
 This is a Neural Network regression model implementation using 'Keras',
 consisting of 10 Long Short-Term Memory layers that are fully connected
 along with the rest of the inputs.

Package: r-cran-ldpd
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-ldpd_1.1.2-1.ca2004.1_all.deb
Size: 46904
MD5sum: 9bb0f582d0c4873dd6c7608b3aad9ce3
SHA1: 11dfce23937947c9c3af094c384d1c2f8db6bbb7
SHA256: b1047e69bd85d62f15b64670e428169c34a1a846f41027c8d9a2f268cb36776f
SHA512: 631a87b68aa32dae197835880778dfeb38ccc07b7748342a22c349705fea5a528351ac5e98a09d58163c296754c591921982fd0f5750e3f9611524464eaa5538
Homepage: https://cran.r-project.org/package=LDPD
Description: CRAN Package 'LDPD' (Probability of Default Calibration)
 Implementation of most popular approaches to PD (probability of default)
 calibration: Quasi Moment Matching algorithm (D. Tasche), algorithm proposed
 by M. van der Burgt, K. Pluto and D. Tasche's most prudent estimation
 methodology.

Package: r-cran-ldrtools
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-dr
Filename: pool/dists/focal/main/r-cran-ldrtools_0.2-2-1.ca2004.1_all.deb
Size: 36992
MD5sum: 4fb479e4298eea49b27a3311a862344a
SHA1: 9cca72045a71bc4b15b640e2e94869585055cbdc
SHA256: 6839d02116aa442089ea3f98d7a05a694bba313949d44f507496740bfa0e9b21
SHA512: cc89bcea8116e8dfcc9f151385ecde47ff2e7f166e45f9ecc73d56ed4a737c8c306d71da6ca0da0a736f9395c37763eda9fe77bd3cd7db18497c4e15d89c2006
Homepage: https://cran.r-project.org/package=LDRTools
Description: CRAN Package 'LDRTools' (Tools for Linear Dimension Reduction)
 Linear dimension reduction subspaces can be uniquely defined using
 orthogonal projection matrices. This package provides tools to compute
 distances between such subspaces and to compute the average subspace. For
 details see Liski, E.Nordhausen K., Oja H., Ruiz-Gazen A. (2016) Combining
 Linear Dimension Reduction Subspaces <doi:10.1007/978-81-322-3643-6_7>.

Package: r-cran-leabra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-leabra_0.1.0-1.ca2004.1_all.deb
Size: 206120
MD5sum: 0f63b70762f1a1d75fbd0ebccc51cbe7
SHA1: eaa54c96a7b2f035598534a390e6fc6c1c6f3ad3
SHA256: ea30064b28b1041cd20ac34f4bb30426cb7de2e794355a3dae01b87da6270c97
SHA512: ae1c1d9d5c659096196c1ff5f79aeb6b2eaf8ad9294e38bde4c1ea8e42ef8be2cd71a128e28555be999c90f448e05ed248472ec194b8b7d202d563a18ce2fbb2
Homepage: https://cran.r-project.org/package=leabRa
Description: CRAN Package 'leabRa' (The Artificial Neural Networks Algorithm Leabra)
 The algorithm Leabra (local error driven and associative biologically
 realistic algorithm) allows for the construction of artificial neural
 networks that are biologically realistic and balance supervised and
 unsupervised learning within a single framework. This package is based on
 the 'MATLAB' version by Sergio Verduzco-Flores, which in turn was based on
 the description of the algorithm by Randall O'Reilly (1996)
 <ftp://grey.colorado.edu/pub/oreilly/thesis/oreilly_thesis.all.pdf>. For
 more general (not 'R' specific) information on the algorithm Leabra see
 <https://grey.colorado.edu/emergent/index.php/Leabra>.

Package: r-cran-leadsense
Architecture: all
Version: 0.0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 863
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-seewave, r-cran-tidyr, r-cran-reshape2, r-cran-signal
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leadsense_0.0.2.0-1.ca2004.1_all.deb
Size: 824796
MD5sum: 89a77ffc0f22905898bc1c04c058bb3b
SHA1: 34eb89c3db9726150b59d661fa6962fac1382223
SHA256: 4136b9f7812997761d8835027a56952b7f53521078226d1423f7c726171983a0
SHA512: 0e3ab33dfc4669174c41c6a63bf6d50154e9669d273f5f78afd30ca9e6b704aaa742f03dc9cc2d635f271d87200fddd36a089d930bbfe1a9931284f08f5d64c6
Homepage: https://cran.r-project.org/package=LeadSense
Description: CRAN Package 'LeadSense' (Medtronic Brain Sense Local Field Potencial Analysis)
 Extracts and creates an analysis pipeline for the JSON data files from Brain
 Sense sessions using Medtronic's Deep Brain Stimulation surgery electrode
 implants.

Package: r-cran-leafarea
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-leafarea_0.1.8-1.ca2004.1_all.deb
Size: 1243524
MD5sum: a5abdbe95ee2016d1dbcc30b9d51d2b8
SHA1: e6eb2fd50c0203d82e513b9046c45eed9c7e28dd
SHA256: faec6ff8b076cdd7e792f73190bd00c511c80a6177bec625bcc36fa0c4fb9b3f
SHA512: 97823a2f81a8fe970706a1220d8252b21d217f9b72ab032978c3587621c1a1828277bc361379056e87dc7289b5870e1188a7d02427f544eefeff495bfe32860c
Homepage: https://cran.r-project.org/package=LeafArea
Description: CRAN Package 'LeafArea' (Rapid Digital Image Analysis of Leaf Area)
 An interface for the image processing program 'ImageJ', which allows a rapid
 digital image analysis for particle sizes. This package includes function to
 write an 'ImageJ' macro which is optimized for a leaf area analysis by
 default.

Package: r-cran-leafdown
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3904
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-leaflet, r-cran-magrittr, r-cran-checkmate, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest, r-cran-dplyr, r-cran-htmltools, r-cran-raster, r-cran-rmapshaper, r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-leafdown_1.2.0-1.ca2004.1_all.deb
Size: 3351688
MD5sum: a648a012a5929fd6d8df26af06c444f5
SHA1: 4bebc3eaace1686f75b3812f8dd754db8ae6afc6
SHA256: 3eb55b7132253d1e7e2a93c021ebda0630223dcd3a8c7beb7f010917fb1beb41
SHA512: 6f81bf6bb46dcfd3f301fdc91384cc95881df27657abcf7c1f947bd4d8669b17f39ff7d689fdb74de73475cdcd54dd91572d9f945bc940d1fb6fb46b805f635c
Homepage: https://cran.r-project.org/package=leafdown
Description: CRAN Package 'leafdown' (Provides Drill Down Functionality for 'leaflet' Choropleths)
 Provides drill down functionality for 'leaflet' choropleths in 'shiny' apps.

Package: r-cran-leafem
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3422
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-geojsonsf, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-leaflet, r-cran-raster, r-cran-sf, r-cran-png
Suggests: r-cran-clipr, r-cran-fontawesome, r-cran-leafgl, r-cran-lwgeom, r-cran-mapdeck, r-cran-plainview, r-cran-stars, r-cran-terra
Filename: pool/dists/focal/main/r-cran-leafem_0.2.4-1.ca2004.1_all.deb
Size: 714080
MD5sum: b101b13047004fe97feda7c254b1b2dc
SHA1: 74576d2df88b1e805b60c8542b0ce6ae7b86a67b
SHA256: 36a2dae65a1491529dc3a05eef35db08c982ae4d4eb678936981dde979c95d09
SHA512: 6dd121295cafd8f1d80f245baaaf11fb7a2534b7472a2d32c00d32328fa771f96ec97343894f2b1a2c196ac112b07d9eeed0d6225c17b3e25114cdef8a207569
Homepage: https://cran.r-project.org/package=leafem
Description: CRAN Package 'leafem' ('leaflet' Extensions for 'mapview')
 Provides extensions for packages 'leaflet' & 'mapdeck', many of which are
 used by package 'mapview'.  Focus is on functionality readily available in
 Geographic Information Systems such as 'Quantum GIS'. Includes functions to
 display coordinates of mouse pointer position, query image values via mouse
 pointer and zoom-to-layer buttons. Additionally, provides a feature type
 agnostic function to add points, lines, polygons to a map.

Package: r-cran-leafgl
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1867
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geojsonsf, r-cran-htmltools, r-cran-jsonify, r-cran-leaflet, r-cran-sf
Suggests: r-cran-colourvalues, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leafgl_0.2.2-1.ca2004.1_all.deb
Size: 1763320
MD5sum: 1ae4b5334f6204507778c70d1510e992
SHA1: 0cd4e7e06040c45acc2b7716435528bc85d5347c
SHA256: 2573e876724cf1745a13f42799f2cdf042cd1b8a71147d70ec621f71021615ec
SHA512: d2a368ad7b6c09ad048fabde92f6be1dc5aca2df3c6d04f86a6b2d9e60745eb933fc99361ab96f3b9c806a98c95138a01a28a43a499ade113b428be2922bfa04
Homepage: https://cran.r-project.org/package=leafgl
Description: CRAN Package 'leafgl' (High-Performance 'WebGl' Rendering for Package 'leaflet')
 Provides bindings to the 'Leaflet.glify' JavaScript library which extends
 the 'leaflet' JavaScript library to render large data in the browser using
 'WebGl'.

Package: r-cran-leaflegend
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3460
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-leaflet, r-cran-htmltools, r-cran-base64enc, r-cran-htmlwidgets
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leaflegend_1.2.1-1.ca2004.1_all.deb
Size: 1226692
MD5sum: 7d4893e8306d499d223098d28f0bb4e8
SHA1: 4bd2e99a21943a2789b4ba6dc3409e28f7c4cd81
SHA256: 4dd651fe544b142b2c88fd9e20f19a5fe9b47f2ada72139fa8b55c2e83240305
SHA512: d2f2a7c9f0d27261cbd466c54ce6c3e796c967b95933a43bcf7fea91eaef69bd97d815ecb74d0cbdf97a0ce36abe3551f994b894201c0c0a0c27460897f77152
Homepage: https://cran.r-project.org/package=leaflegend
Description: CRAN Package 'leaflegend' (Add Custom Legends to 'leaflet' Maps)
 Provides extensions to the 'leaflet' package to customize legends with
 images, text styling, orientation, sizing, and symbology and functions to
 create symbols to plot on maps.

Package: r-cran-leaflet.esri
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3713
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-leaflet.extras, r-cran-htmltools
Suggests: r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-leaflet.esri_1.0.0-1.ca2004.1_all.deb
Size: 307220
MD5sum: 2170bc49588a5f8a73dc9bec31d3710d
SHA1: 279d83fba301125af2c5ab5d294a6501675fb835
SHA256: ccfb5be06e1d9d4062dc354acee2b1879aec21ba7fef691126f31994b732b0c2
SHA512: 4905574c2bcd703b6613060a354f6b231355ccf7a95294be6f589dda42724789ba57fa03f9b3eb8336af1861a37b0c7700263856e87af7847ebed2933f25af35
Homepage: https://cran.r-project.org/package=leaflet.esri
Description: CRAN Package 'leaflet.esri' ('ESRI' Bindings for the 'leaflet' Package)
 An add-on package to the 'leaflet' package, which provides bindings for
 'ESRI' services. This package allows a user to add 'ESRI' provided services
 such as 'MapService', 'ImageMapService', 'TiledMapService' etc. to a
 'leaflet' map.

Package: r-cran-leaflet.extras2
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3720
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-leaflet, r-cran-htmltools, r-cran-magrittr
Suggests: r-cran-jsonlite, r-cran-shiny, r-cran-sf, r-cran-yyjsonr, r-cran-sp, r-cran-testthat, r-cran-fontawesome, r-cran-htmlwidgets, r-cran-xfun, r-cran-covr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-leaflet.extras2_1.3.1-1.ca2004.1_all.deb
Size: 1120432
MD5sum: 63a9c044ddc9869404fbf53526755e4b
SHA1: 3adaa760c300685525691e0c5c49f2fcab353028
SHA256: d287c3442f833a9a61d3714a57f1ee352aa0ad723d85a7b95bc526a9bf25d5ed
SHA512: 04c866ee530de9376121f0c11e455243430627be910a6b769e084a9b447ec8b93adee4946ab6269e044bf6360f9dd047a5742364b57698f531917be81d16a148
Homepage: https://cran.r-project.org/package=leaflet.extras2
Description: CRAN Package 'leaflet.extras2' (Extra Functionality for 'leaflet' Package)
 Several 'leaflet' plugins are integrated, which are available as extension
 to the 'leaflet' package.

Package: r-cran-leaflet.extras
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2776
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-leaflet, r-cran-htmlwidgets, r-cran-htmltools, r-cran-stringr, r-cran-magrittr
Suggests: r-cran-jsonlite, r-cran-readr, r-cran-sf, r-cran-xfun, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leaflet.extras_2.0.1-1.ca2004.1_all.deb
Size: 1418552
MD5sum: 59046653ea3e530b68802bac912f0065
SHA1: 552cb282c6a8d5099b09da360b69c27b12c1eb08
SHA256: 052912481f31b06ce7d87e3f855ecbcf7e2673ff26b4d7e4abb96dbd10461bb6
SHA512: 44d5ac6a09f1305dc8cfc4e5fd0a1ccbe6e965fabc055843f6df5448063627dca4b41c3bc2d328012665c280ec6a393d15c860d91b7d8282dbdcf4460a8dd4c0
Homepage: https://cran.r-project.org/package=leaflet.extras
Description: CRAN Package 'leaflet.extras' (Extra Functionality for 'leaflet' Package)
 The 'leaflet' JavaScript library provides many plugins some of which are
 available in the core 'leaflet' package, but there are many more. It is not
 possible to support them all in the core 'leaflet' package. This package
 serves as an add-on to the 'leaflet' package by providing extra
 functionality via 'leaflet' plugins.

Package: r-cran-leaflet.minicharts
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-shiny, r-cran-manipulatewidget, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-leaflet.minicharts_0.6.2-1.ca2004.1_all.deb
Size: 701104
MD5sum: 5803819d387a1214f01f46893ae6eb53
SHA1: bc47d9a80d285257fcb2bf48ebc0b59cfc0854ad
SHA256: 84943c474fb4c810bcd836af46f3ac9ab265c05e72f220adc442f45cfe83d507
SHA512: 263883bf42827fc15c36280aeef6e7a95c2b458fc7106a5e89851869c935e958e489a5277ca1d3d4337b1d7ca879d4647dc1fe36eebeeead2f76dd97a64efb20
Homepage: https://cran.r-project.org/package=leaflet.minicharts
Description: CRAN Package 'leaflet.minicharts' (Mini Charts for Interactive Maps)
 Add and modify small charts on an interactive map created with package
 'leaflet'. These charts can be used to represent at same time multiple
 variables on a single map.

Package: r-cran-leaflet.multiopacity
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1067
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-leaflet, r-cran-testthat, r-cran-magrittr, r-cran-raster, r-cran-rgdal, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-leaflet.multiopacity_0.1.1-1.ca2004.1_all.deb
Size: 455556
MD5sum: 51da4ce5af30ae210d8f3f303733bf7a
SHA1: a057161301f05cfa1719d94ccbfa84fdcf50b23e
SHA256: 8d61454f05c2d45d0b1b88de31ee7ee9109f90f9de4d1b2d6297bab50c04ab1e
SHA512: 44ee15b10dc1157b5c329bd7d474945a7852be3ff1194f9add95ed87da123f180c2ff3a91c0ef02f19a0fbc5f4c0ab53324ea2f2453f711d7be75740e766bc27
Homepage: https://cran.r-project.org/package=leaflet.multiopacity
Description: CRAN Package 'leaflet.multiopacity' (Leaflet Multiple Opacity Controls for R)
 Extends Leaflet for R by adding widget to control opacity of multiple
 layers.

Package: r-cran-leaflet.opacity
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2016
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-leaflet, r-cran-raster, r-cran-rgdal, r-cran-magrittr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-leaflet.opacity_0.1.0-1.ca2004.1_all.deb
Size: 1362048
MD5sum: 2b96edd5687da32aa5767ad30c61dcbf
SHA1: 33789ad9aa95bdb0785cc1555551624b7987079d
SHA256: 05fbe8bcc30feb25ddfe86dc7625260a8a2f7900e483301ac5e9f37106233af6
SHA512: dacb369f26c40f20a037fec375739dc345890e7d98fb11e702567c3735c601f27eb0d23573c8b7b81d43740b31cff4afc1535fb99762e83d07d622dd932fb8c0
Homepage: https://cran.r-project.org/package=leaflet.opacity
Description: CRAN Package 'leaflet.opacity' (Opacity Controls for Leaflet Maps)
 Extends the 'leaflet' R package with the 'Leaflet.OpacityControls'
 JavaScript plugin. Adds controls to the leaflet map for adjusting the
 opacity of a layer.

Package: r-cran-leaflet.providers
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools
Suggests: r-cran-jsonlite, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-leaflet.providers_2.0.0-1.ca2004.1_all.deb
Size: 41532
MD5sum: 0e6331089e3bbce09615d4e3be3337f3
SHA1: d8c749231a6ccaba5e0808bda05faac17ef9cf43
SHA256: 7d6e33ad8d73d0e2bbdf9b3b06df8193f68a7df8325eb9f5f2ec5bf92d1006bd
SHA512: 0c8ddbaf318c7e492d80ba8ec80bc1dd39cba02c95c6aaa04942f0ea68fe77e8fee43ec75bb5b5621f82dc6fdc538cc22574ab64c1b312d2ab4b1ea9d40ce8da
Homepage: https://cran.r-project.org/package=leaflet.providers
Description: CRAN Package 'leaflet.providers' (Leaflet Providers)
 Contains third-party map tile provider information from 'Leaflet.js',
 <https://github.com/leaflet-extras/leaflet-providers>, to be used with the
 'leaflet' R package. Additionally, 'leaflet.providers' enables users to
 retrieve up-to-date provider information between package updates.

Package: r-cran-leaflet
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4300
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crosstalk, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jquerylib, r-cran-leaflet.providers, r-cran-magrittr, r-cran-png, r-cran-raster, r-cran-rcolorbrewer, r-cran-scales, r-cran-sp, r-cran-viridislite, r-cran-xfun
Suggests: r-cran-knitr, r-cran-maps, r-cran-purrr, r-cran-r6, r-cran-rjsonio, r-cran-rmarkdown, r-cran-s2, r-cran-sf, r-cran-shiny, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leaflet_2.2.2-1.ca2004.1_all.deb
Size: 1982960
MD5sum: f76fa1514b5e8754457cd2600af9f738
SHA1: 614785069c0f5655e859ed619f4fd7b14cd12776
SHA256: 66c3c2a98efed8284e05c07e3fadfe3ed9171e2ba8eb8f7f86779e5cc20b90a3
SHA512: 70d9fb2be85867cb7276c5a3b18c000097f4e7c9c67eff2b26ef46a213580df90c88094f167150197bc8f604d91183ce532cf91fdb4df220e258c72528017aed
Homepage: https://cran.r-project.org/package=leaflet
Description: CRAN Package 'leaflet' (Create Interactive Web Maps with the JavaScript 'Leaflet'Library)
 Create and customize interactive maps using the 'Leaflet' JavaScript library
 and the 'htmlwidgets' package. These maps can be used directly from the R
 console, from 'RStudio', in Shiny applications and R Markdown documents.

Package: r-cran-leafletcn
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-sp, r-cran-jsonlite, r-cran-leaflet, r-cran-rgeos
Filename: pool/dists/focal/main/r-cran-leafletcn_0.2.1-1.ca2004.1_all.deb
Size: 1674428
MD5sum: 1b39ed6aaaf710063f6ef193b60ff736
SHA1: 9f8674e675ff35d6697cdf82ccc905dd7e386cd8
SHA256: 896d81724c67807b6d4ce961cf640c6af06fc880e6627fc11bc988bc73c8427d
SHA512: bd9650100aabaf48ab50573f9ced2f2c4f7c831fad7d5d2d5f68596ad5dd436fb206648563a45686ba5eaee345fcd68cb1a620f513c6665ac83d33423c2de1fd
Homepage: https://cran.r-project.org/package=leafletCN
Description: CRAN Package 'leafletCN' (An R Gallery for China and Other Geojson Choropleth Map inLeaflet)
 An R gallery for China and other geojson choropleth map in leaflet. Contains
 the geojson data for provinces, cities in China.

Package: r-cran-leafletr
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brew, r-cran-jsonlite
Suggests: r-cran-httr, r-cran-rgdal, r-cran-sp
Filename: pool/dists/focal/main/r-cran-leafletr_0.4-0-1.ca2004.1_all.deb
Size: 644068
MD5sum: 0de96a37b50572e450d97893153c3936
SHA1: dc8c3363e64bae0b9a779c0a74d2841d7ff2fda4
SHA256: 2a0b6bd1a5df941fa64bf786fa53038c5a7390771ed4d0fe58f153f519ef9b99
SHA512: d05162cc43cf38d02bd9499825e447b5e654cd6b2d2028f74e7b4c426fb7b5605c7062fbdf22756782b77ff28d4a62c632b390ecdd037c45687a08485d21c779
Homepage: https://cran.r-project.org/package=leafletR
Description: CRAN Package 'leafletR' (Interactive Web-Maps Based on the Leaflet JavaScript Library)
 Display your spatial data on interactive web-maps using the open-source
 JavaScript library Leaflet. 'leafletR' provides basic web-mapping
 functionality to combine vector data and online map tiles from different
 sources. See <http://leafletjs.com> for more information on Leaflet.

Package: r-cran-leafpm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-leaflet, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leafpm_0.1.0-1.ca2004.1_all.deb
Size: 56860
MD5sum: bdc6d3b8f967d3a8eea0c367eee382d1
SHA1: e2e2a742e6b6844605a6d8ac5fd8f178a4e86202
SHA256: 3c2348e0fa7e3db232b5688315b737f04922acb5c87c29a09b6dcb7588d42368
SHA512: e48d404b141bd1d20dca312a5095d8a52e1bafc5787f06f1d13d86dd0bb5c7abcc79c8d8011c14b6e47a8c38322ea7f91153f3b71c821371ae1d29e101e60a30
Homepage: https://cran.r-project.org/package=leafpm
Description: CRAN Package 'leafpm' (Leaflet Map Plugin for Drawing and Editing)
 A collection of tools for interactive manipulation of (spatial) data layers
 on leaflet web maps. Tools include editing of existing layers, creation of
 new layers through drawing of shapes (points, lines, polygons), deletion of
 shapes as well as cutting holes into existing shapes. Provides control over
 options to e.g. prevent self-intersection of polygons and lines or to
 enable/disable snapping to align shapes.

Package: r-cran-leafpop
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1912
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-base64enc, r-cran-brew, r-cran-htmltools, r-cran-htmlwidgets, r-cran-sf, r-cran-svglite, r-cran-uuid
Suggests: r-cran-lattice, r-cran-leaflet, r-cran-sp
Filename: pool/dists/focal/main/r-cran-leafpop_0.1.0-1.ca2004.1_all.deb
Size: 1913880
MD5sum: 64452f0b2646b60957db7475a3cf16d6
SHA1: 2058be825e1c5dc09625785893bc833bc5b633eb
SHA256: 927c19eda86414da99bf7d168de82a3ebe6cb764a90ccbc52d342660013b64b2
SHA512: 742ce6e31a5c7aa41febd97f552920932393e5fc696af17881997accebb1691afcff055acf79da842eb9575adca324b39437ae2ac999bcf538fe6d4bfd3028ee
Homepage: https://cran.r-project.org/package=leafpop
Description: CRAN Package 'leafpop' (Include Tables, Images and Graphs in Leaflet Pop-Ups)
 Creates 'HTML' strings to embed tables, images or graphs in pop-ups of
 interactive maps created with packages like 'leaflet' or 'mapview'. Handles
 local images located on the file system or via remote URL. Handles graphs
 created with 'lattice' or 'ggplot2' as well as interactive plots created
 with 'htmlwidgets'.

Package: r-cran-leafr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lidr, r-cran-sp, r-cran-data.table, r-cran-raster
Filename: pool/dists/focal/main/r-cran-leafr_0.3.5-1.ca2004.1_all.deb
Size: 446896
MD5sum: a94fbd21a624b1020a5e6eb98bbdcfc5
SHA1: f32049960cd490727fe604db0e2a52819ef875f8
SHA256: 14043b628fc02aeca1cb864de6b35ebd3efc80b4778f22df04b835afa0baa756
SHA512: cd9e06a7ff099739d165ff4c82ddfa92fd2362dcef07a62739963fe6bc20d6270ac87afbc1cb99d0500172ee224efcfc17650a3f4a1ecabc4eec1c896951ef4c
Homepage: https://cran.r-project.org/package=leafR
Description: CRAN Package 'leafR' (Calculates the Leaf Area Index (LAD) and Other Related Functions)
 A set of functions for analyzing the structure of forests based on the leaf
 area density (LAD) and leaf area index (LAI) measures calculated from
 Airborne Laser Scanning (ALS), i.e., scanning lidar (Light Detection and
 Ranging) data. The methodology is discussed and described in Almeida et al.
 (2019) <doi:10.3390/rs11010092> and Stark et al. (2012)
 <doi:10.1111/j.1461-0248.2012.01864.x>.

Package: r-cran-leafstar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-leafstar_1.0-1.ca2004.1_all.deb
Size: 109848
MD5sum: 6ecde6a5531236e90274746aa69862d2
SHA1: 554349e850e2b2043ed5ae3eec1cc2f5d8d06a88
SHA256: 49bfcab084af193361c7c00f26ccc0017d22870f318a573f25c7b6b6bab3086d
SHA512: e0124f98e31fc5be6cb6d81806f13ab2e7b7d813e775c473df9766f25f1c62bfb64b1271caa351b50e4fe1c283bd0c4fc3e92700b8b368eb79021186ead7f894
Homepage: https://cran.r-project.org/package=leafSTAR
Description: CRAN Package 'leafSTAR' (Silhouette to Area Ratio of Tilted Surfaces)
 Implementation of trigonometric functions to calculate the exposure of flat,
 tilted surfaces, such as leaves and slopes, to direct solar radiation. It
 implements the equations in A.G. Escribano-Rocafort, A. Ventre-Lespiaucq, C.
 Granado-Yela, et al. (2014) <doi:10.1111/2041-210X.12141> in a few
 user-friendly R functions. All functions handle data obtained with 'Ahmes'
 1.0 for Android, as well as more traditional data sources (compass,
 protractor, inclinometer). The main function (star()) calculates the
 potential exposure of flat, tilted surfaces to direct solar radiation
 (silhouette to area ratio, STAR). It is equivalent to the ratio of the leaf
 projected area to total leaf area, but instead of using area data it uses
 spatial position angles, such as pitch, roll and course, and information on
 the geographical coordinates, hour, and date. The package includes
 additional functions to recalculate STAR with custom settings of location
 and time, to calculate the tilt angle of a surface, and the minimum angle
 between two non-orthogonal planes.

Package: r-cran-leafsync
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-leafsync_0.1.0-1.ca2004.1_all.deb
Size: 843044
MD5sum: aff58af48f177c7608af4da9629c7287
SHA1: 0888b7dad78780fb80f9404235e49db22a14d471
SHA256: 7e6ae30da6f5263f46b02e129a6947cb48937a6d24c092a86cdd3ed5db44e383
SHA512: 37c971857b565cadfa39d4fd5bce064ddbb92da844c977929670399e595d8011e575aa20c16554c2325c1373772fc02b4e336fd15f0c799ec9e1618794ddb28b
Homepage: https://cran.r-project.org/package=leafsync
Description: CRAN Package 'leafsync' (Small Multiples for Leaflet Web Maps)
 Create small multiples of several leaflet web maps with (optional)
 synchronised panning and zooming control. When syncing is enabled all maps
 respond to mouse actions on one map. This allows side-by-side comparisons of
 different attributes of the same geometries. Syncing can be adjusted so that
 any combination of maps can be synchronised.

Package: r-cran-leaftime
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-geojsonio
Filename: pool/dists/focal/main/r-cran-leaftime_0.2.0-1.ca2004.1_all.deb
Size: 32580
MD5sum: 6757f05f6547fac67c4cd6f999aeb73b
SHA1: 91b68f1bdf01082b383b16cb2ae25b5179f6e4d3
SHA256: 2246d779e476ade89df3a5c401be5abf0dafdc2fba7ccad178fab9aa49ecb57f
SHA512: 93d7bb3d708e575c35fa45f9d6abbebc41ad2189a958bde5e336addd5edfc609949ed9efa640e5cd650f4e4faf35ee81b6867e3c743805d73540f574019dc510
Homepage: https://cran.r-project.org/package=leaftime
Description: CRAN Package 'leaftime' ('Leaflet-timeline' Plugin for Leaflet)
 Use the 'leaflet-timeline' plugin with a leaflet widget to add an
 interactive slider with play, pause, and step buttons to explore temporal
 geographic spatial data changes.

Package: r-cran-leakyiv
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-corpcor, r-cran-glasso, r-cran-matrix, r-cran-mvnfast, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-leakyiv_0.0.1-1.ca2004.1_all.deb
Size: 86972
MD5sum: fb9756ecf4960a4b24ba8e82fd3546ea
SHA1: 92f03b3a95b71acdac12ee1e4b360f53e65d5402
SHA256: 9159b4f222df0c5543ddda496101b002c7b879b150a6cac002f2a60923a782a7
SHA512: 5f21d09744ad9973af8d65581510f5fbd6ca0e3e78a23a1a3200d99d4a15e3a92365626dad9ea0ec6ecb784852e4fed9558ef30b1f4988c8d390e12a7adffe07
Homepage: https://cran.r-project.org/package=leakyIV
Description: CRAN Package 'leakyIV' (Leaky Instrumental Variables)
 Instrumental variables (IVs) are a popular and powerful tool for estimating
 causal effects in the presence of unobserved confounding. However, classical
 methods rely on strong assumptions such as the exclusion criterion, which
 states that instrumental effects must be entirely mediated by treatments. In
 the so-called "leaky" IV setting, candidate instruments are allowed to have
 some direct influence on outcomes, rendering the average treatment effect
 (ATE) unidentifiable. But with limits on the amount of information leakage,
 we may still recover sharp bounds on the ATE, providing partial
 identification. This package implements methods for ATE bounding in the
 leaky IV setting with linear structural equations. For details, see Watson
 et al. (2024) <doi:10.48550/arXiv.2404.04446>.

Package: r-cran-leanpubr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leanpubr_0.4.0-1.ca2004.1_all.deb
Size: 53672
MD5sum: 73a594fdecc9a1b2b813cbbe5ee30a07
SHA1: d88134fb98ce5ea1e80b9c7c15715b3484d43100
SHA256: c0975d1dd072d6f06cc7d557a694d3b8d4a3bd54ba8553807a4eae797b7990a4
SHA512: 5a4c86ecff9e0213a4d98bd600344ad225e7c22526767916ea901042f45368ea09fc4948d461e4b7fcf860d89d5c80023677a42b6b68385287b80b65965e6456
Homepage: https://cran.r-project.org/package=leanpubr
Description: CRAN Package 'leanpubr' ('Leanpub' API Interface)
 Provides access to the 'Leanpub' API <https://leanpub.com/help/api> for
 gathering information about publications and submissions to the 'Leanpub'
 platform.

Package: r-cran-leanr
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3095
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-domc, r-cran-rmarkdown, r-cran-rocr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leanr_1.4.9-1.ca2004.1_all.deb
Size: 3064540
MD5sum: 472c3d755ede0557f8b811761967cf65
SHA1: 1932bdd177f5db05bc105103ca6a8092cb90e7da
SHA256: 36c693a1dbe4aa45d00b25d927b011a7ebbec4c3419a8b72140c499d67ffa104
SHA512: ab3fe8b80eaf6671773b5c7f429663e2dc8712237c566b2223289f1ecb25cfe08f5c719c5eac5c324d2a9e90cdb51f51cd66537f4234872d2ac6696cd82dd0ef
Homepage: https://cran.r-project.org/package=LEANR
Description: CRAN Package 'LEANR' (Finds "Local Subnetworks" Within an Interaction Network whichShow Enrichment for Differentially Expressed Genes)
 Implements the method described in "Network-based analysis of omics data:
 The LEAN method" [Gwinner Boulday (2016)
 <DOI:10.1093/bioinformatics/btw676>] Given a protein interaction network and
 a list of p-values describing a measure of interest (as e.g. differential
 gene expression) this method computes an enrichment p-value for the protein
 neighborhood of each gene and compares it to a background distribution of
 randomly drawn p-values.  The resulting scores are corrected for multiple
 testing and significant hits are returned in tabular format.

Package: r-cran-leap
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-leap_0.2-1.ca2004.1_all.deb
Size: 306276
MD5sum: 586895e16884a103f75c556ad0db8fd3
SHA1: 8a7be43c581cdf6ef0ada22f3ee0281afc2352fa
SHA256: b49667e25b4dffe398061a0a5b5bebbea299671b1774a79300603649119fa458
SHA512: 34d6c644897e5997790def4b4bd7268393ced49a7d18d78d2e20667c56933061a05bef3552c026a3d9489b95c10840b75c500cd57fb0775057fdff5f5c5a60d8
Homepage: https://cran.r-project.org/package=LEAP
Description: CRAN Package 'LEAP' (Constructing Gene Co-Expression Networks for Single-CellRNA-Sequencing Data Using Pseudotime Ordering)
 Advances in sequencing technology now allow researchers to capture the
 expression profiles of individual cells. Several algorithms have been
 developed to attempt to account for these effects by determining a cell's
 so-called `pseudotime', or relative biological state of transition. By
 applying these algorithms to single-cell sequencing data, we can sort cells
 into their pseudotemporal ordering based on gene expression. LEAP (Lag-based
 Expression Association for Pseudotime-series) then applies a time-series
 inspired lag-based correlation analysis to reveal linearly dependent genetic
 associations.

Package: r-cran-leapfrog
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alabama, r-cran-mass
Suggests: r-cran-rjags
Filename: pool/dists/focal/main/r-cran-leapfrog_1.0.7-1.ca2004.1_all.deb
Size: 55108
MD5sum: 152206a9a8d72cb3578686d6eb299105
SHA1: a0312cca900d0890cb5483ac86f9c7133f0868aa
SHA256: e9c4d0774cfb47234fbe5c6620157ff985ce48d4e286d7d4d4e4461ca9c7285c
SHA512: eba63cd30ecf547a603aa2156bde4c8ced7f0214a1500e29568869877b72c6544006862f74205e0f45b2351149a07725d1185afc0231a227ab679ad04cd38a6e
Homepage: https://cran.r-project.org/package=LEAPFrOG
Description: CRAN Package 'LEAPFrOG' (Likelihood Estimation of Admixture in Parents From OffspringGenotypes)
 Contains LEAPFrOG Gradient Optimisation and Expectation Maximisation
 functions for inferring parental admixture proportions from an offspring
 with SNP genotypes.

Package: r-cran-leapgp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lagp, r-cran-rann, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lhs, r-cran-tictoc, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-leapgp_1.0.0-1.ca2004.1_all.deb
Size: 483072
MD5sum: bf278bf6d6b6afb1edee904419456123
SHA1: 2af1a7133b92b48669a0644f1e958b98a57a63e1
SHA256: 82cba1991361073d58ad7b5af22f52980137fa578286664da40382a6833cece7
SHA512: 00df97ee6cf2789960c5d9d37ec5c6d1ed52effb9d4c27f0e44b455d6a1c153eb72f32ce9ff2477841919fc4e5535413913731c0d69c10da5ecc1a7c65440bbe
Homepage: https://cran.r-project.org/package=leapgp
Description: CRAN Package 'leapgp' (Localized Ensemble of Approximate Gaussian Processes)
 An emulator designed for rapid sequential emulation (e.g., Markov chain
 Monte Carlo applications). Works via extension of the 'laGP' approach by
 Gramacy and Apley (2015 <doi:10.1080/10618600.2014.914442>). Details are
 given in Rumsey et al. (2023 <doi:10.1002/sta4.576>).

Package: r-cran-leapp
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-sva, r-cran-mass, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-leapp_1.3-1.ca2004.1_all.deb
Size: 540480
MD5sum: 56ba00a6b3616cdb5c550364f4412e9a
SHA1: f8bc6ae6f080cf9d5bac1285b57d0d04ca11f408
SHA256: b43820e2a2e34acc4bb9d82d13323a939b763b674728c1c812d7d45ddbb6e602
SHA512: e939153c0e7951f821ad6b9c39bd3608a92d69e75eb22e555054f17e8fd4cc4f540fe499a0f45a1861a9bff89df202f49154b0810c948a5e6fb56755b0bc3b38
Homepage: https://cran.r-project.org/package=leapp
Description: CRAN Package 'leapp' (Latent Effect Adjustment After Primary Projection)
 These functions take a gene expression value matrix, a primary covariate
 vector, an additional known covariates matrix.  A two stage analysis is
 applied to counter the effects of latent variables on the rankings of
 hypotheses.  The estimation and adjustment of latent effects are proposed by
 Sun, Zhang and Owen (2011).  "leapp" is developed in the context of
 microarray experiments, but may be used as a general tool for high
 throughput data sets where dependence may be involved.

Package: r-cran-learest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 870
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-conicfit, r-cran-doparallel, r-cran-foreach, r-cran-jpeg, r-cran-opencpu
Filename: pool/dists/focal/main/r-cran-learest_1.0.0-1.ca2004.1_all.deb
Size: 280636
MD5sum: e76db727ab5b4293e0ab498765ab25f8
SHA1: 32bdcadf42702039bd33243d16983f19a9bada3e
SHA256: 3be9f69faeb278b4c54568c861a2fca141554b9c7b78c0ff0fa7eff121e8bee7
SHA512: 7ed8fe0589a4cecec345456bc30354066b6456f65d10fd4b3e733f7e2ee8fcd2d3e5d197e849f1cf4e7786ca527a739e485f79e0fd23d083086b061fd189117d
Homepage: https://cran.r-project.org/package=LeArEst
Description: CRAN Package 'LeArEst' (Border and Area Estimation of Data Measured with Additive Error)
 Provides methods for estimating borders of uniform distribution on the
 interval (one-dimensional) and on the elliptical domain (two-dimensional)
 under measurement errors. For one-dimensional case, it also estimates the
 length of underlying uniform domain and tests the hypothesized length
 against two-sided or one-sided alternatives. For two-dimensional case, it
 estimates the area of underlying uniform domain. It works with numerical
 inputs as well as with pictures in JPG format.

Package: r-cran-learnbayes
Architecture: all
Version: 2.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1154
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-learnbayes_2.15.1-1.ca2004.1_all.deb
Size: 962464
MD5sum: abb975dd22f0edb668d37b60eb5f9fb3
SHA1: 4c2b0889eedfd4aff257f28bea6b5c1105e4a8f1
SHA256: fd24ff6d72c567fbc1dc4278afca11ea6ae4d0f57763cf902eafbd49f1fa22f7
SHA512: c3578dc497a6405b8f241f7ef8bf80816493f345c41f26b5f1de088b0bf3395b6896e13e848f05d6a9e682babb0ef9ebc2c16a74fbd1e762c3faccba2b93ff9b
Homepage: https://cran.r-project.org/package=LearnBayes
Description: CRAN Package 'LearnBayes' (Functions for Learning Bayesian Inference)
 A collection of functions helpful in learning the basic tenets of Bayesian
 statistical inference.  It contains functions for summarizing basic one and
 two parameter posterior distributions and predictive distributions.  It
 contains MCMC algorithms for summarizing posterior distributions defined by
 the user.  It also contains functions for regression models, hierarchical
 models, Bayesian tests, and illustrations of Gibbs sampling.

Package: r-cran-learnclust
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magick
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-learnclust_1.1-1.ca2004.1_all.deb
Size: 440648
MD5sum: 508946b38ceee428a78216b3b2f77ba1
SHA1: f1a474cc2d564540b437a2f1540dc367642d27d2
SHA256: dc394d2374d498bfa750f3bdda93bea76d7be89073ac42873edfe6d35c46930a
SHA512: 1df54f4643ddc8e5e851738028a4c4c880d7b63d5fa8bc08dc70d1888d3d52c47cf40f43cf3ab8f9ebd57943c06ca45048f66507975bf564bcea17f9b441d17f
Homepage: https://cran.r-project.org/package=LearnClust
Description: CRAN Package 'LearnClust' (Learning Hierarchical Clustering Algorithms)
 Classical hierarchical clustering algorithms, agglomerative and divisive
 clustering. Algorithms are implemented as a theoretical way, step by step.
 It includes some detailed functions that explain each step. Every function
 allows options to get different results using different techniques.  The
 package explains non expert users how hierarchical clustering algorithms
 work.

Package: r-cran-learner
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-screenot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-learner_0.1.0-1.ca2004.1_all.deb
Size: 353516
MD5sum: f7c16e8df8aed085a9401385d4d10014
SHA1: a4d4a8f231a804bf83c86c728372a9d65f49a7bb
SHA256: 912c62f03032e004deacc9bf174ea7a90c500a30cf458310f206eca8fd130cae
SHA512: b7ed39a3497241498977d3f20031f897c19d2781ac0e8086d8b68b7bc07d465f12f06499cf372f618e4ea395163aa3c0ecc24f473c62a81b63ed2d92f5ac32d7
Homepage: https://cran.r-project.org/package=learner
Description: CRAN Package 'learner' (Latent Space-Based Transfer Learning)
 Implements transfer learning methods for low-rank matrix estimation. These
 methods leverage similarity in the latent row and column spaces between the
 source and target populations to improve estimation in the target
 population. The methods include the LatEnt spAce-based tRaNsfer lEaRning
 (LEARNER) method and the direct projection LEARNER (D-LEARNER) method
 described by McGrath et al. (2024) <doi:10.48550/arXiv.2412.20605>.

Package: r-cran-learngeom
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-learngeom_1.5-1.ca2004.1_all.deb
Size: 418212
MD5sum: 97141258d88f876d74668a2273c579ab
SHA1: 9dda7c3cd9e4bdea6f8741f0aaebaf24bea46c10
SHA256: 10ebf126013429d4671490737151487746298ad2067fc800c7322b24e887d3aa
SHA512: a429c2755babac59c3ab351e124c16693f232a6c9c704bfe1293472299cd08da0062db9f1c01c29d21d539ab690512e1414b6f143f0d04a147e4b8aebd000df2
Homepage: https://cran.r-project.org/package=LearnGeom
Description: CRAN Package 'LearnGeom' (Learning Plane Geometry)
 Contains some functions to learn and teach basic plane Geometry at
 undergraduate level with the aim of being helpful to young students with
 little programming skills.

Package: r-cran-learningr
Architecture: all
Version: 0.29.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-learningr_0.29.1-1.ca2004.1_all.deb
Size: 204976
MD5sum: 7b1d865c24d83deb14a58482b618c79a
SHA1: 9d9d3c1329139d9500f2a736ab5055c1776baba7
SHA256: 6b9b54174b6802629f5ee07f06cfe6ade0cafea543c1b100daeafcbd95778249
SHA512: 36dc9ae4e1bd46799884defed039cf26ee7459a5a83a6a6bb83c2e63d45160c0d2de46a16b687b986032288b080309199e7b6a609701a042ab31dd86d0a8fc2a
Homepage: https://cran.r-project.org/package=learningr
Description: CRAN Package 'learningr' (Data and Functions to Accompany the Book "Learning R")
 Crabs in the English channel, deer skulls, English monarchs, half-caste
 Manga characters, Jamaican cities, Shakespeare's The Tempest, drugged up
 cyclists and sexually transmitted diseases.

Package: r-cran-learningstats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-readxl, r-cran-haven, r-cran-readods
Filename: pool/dists/focal/main/r-cran-learningstats_0.1.0-1.ca2004.1_all.deb
Size: 514320
MD5sum: fa6a763bcc3e50dc6ac49edd87b9d49c
SHA1: 4cc52daadd75f74ea1042476a91379f60b15a98c
SHA256: 062388786e1fcb68816bff65ae97a74649a4f01357cc5b7e5738bc21f9add9f3
SHA512: ee58c63d0570069e5ac0086d975948003f9ec64b04d23604a1ca8b99fd605a93dd4f21380ef5fd3888c1f8dd450fc539541b737cadcd135ac5c488c403554a6c
Homepage: https://cran.r-project.org/package=LearningStats
Description: CRAN Package 'LearningStats' (Elemental Descriptive and Inferential Statistics)
 Provides tools to teach students elemental statistics. The main topics
 covered are descriptive statistics, probability models (discrete and
 continuous variables) and statistical inference (confidence intervals and
 hypothesis tests). One of the main advantages of this package is that allows
 the user to read quite a variety of types of data files with one unique
 command. Moreover it includes shortcuts to simple but up-to-now not in R
 descriptive features such a complete frequency table or an histogram with
 the optimal number of intervals. Related to model distributions (both
 discrete and continuous), the package allows the student to easy plot the
 mass/density function, distribution function and quantile function just
 detailing as input arguments the known population parameters. The inference
 related tools are basically confidence interval and hypothesis testing.
 Having defined independent commands for these two tools makes it easier for
 the student to understand what the software is performing, and it also helps
 the student to have a better knowledge on which specific tool they need to
 use in each situation. Moreover, the hypothesis testing commands provide not
 only the numeric result on the screen but also a very intuitive graph (which
 includes the statistic distribution, the observed value of the statistic,
 the rejection area and the p-value) that is very useful for the student to
 visualise the process. The regression section includes up to now, a simple
 linear model, with one single command the student can obtain the numeric
 summary as well as the corresponding diagram with the adjusted regression
 model and a legend with basic information (formula of the adjusted model and
 R-squared).

Package: r-cran-learningtower
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2764
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-forcats, r-cran-scales
Filename: pool/dists/focal/main/r-cran-learningtower_1.1.0-1.ca2004.1_all.deb
Size: 2656244
MD5sum: 10b9e08f4e71ef5444bb13bae33d64de
SHA1: 835a17f1885ab9ab02592baf91dbb41f56f8e2fd
SHA256: 700614cdb148520d13e8d040833138663238dc32457b8e96df74f48a5003f291
SHA512: 9a9b038a60abfd615a23fd1f213d3de7455dba9775399cf4fd8863313adbf8274cbb6b99c56f9da8741ee5b0373efddf2c967f3593606a6a605c9a81ca78ca58
Homepage: https://cran.r-project.org/package=learningtower
Description: CRAN Package 'learningtower' (OECD PISA Datasets from 2000-2022 in an Easy-to-Use Format)
 The Programme for International Student Assessment (PISA) is a global study
 conducted by the Organization for Economic Cooperation and Development
 (OECD) in member and non-member countries to assess educational systems by
 assessing 15-year-old school students academic performance in mathematics,
 science, and reading. This datasets contains information on their scores and
 other socioeconomic characteristics, information about their school and its
 infrastructure, as well as the countries that are taking part in the
 program.

Package: r-cran-learnn
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-learnn_0.2.0-1.ca2004.1_all.deb
Size: 28512
MD5sum: 667ca7703180e4aa143d78d229f58c05
SHA1: 38cbea0c3d4385efa71ec576a9f7dea2f91e0717
SHA256: b8445d7537f3659ea89fb4b2cb1eb049f7e51eefdd3d5695943ff9a95e270806
SHA512: f507413c033fe4da14072e2d6afe015d5bb1d9508b0bd4552b21ec8097475d7b667afbf4b6b73e1e3b9338151967f83e9f7c173b23447aa660b20670bad02dec
Homepage: https://cran.r-project.org/package=learNN
Description: CRAN Package 'learNN' (Examples of Neural Networks)
 Implementations of several basic neural network concepts in R, as based on
 posts on \url{http://qua.st/}.

Package: r-cran-learnpca
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1391
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpart, r-cran-class, r-cran-nnet, r-cran-markdown, r-cran-shiny
Suggests: r-cran-chemospec, r-cran-chemometrics, r-cran-knitr, r-cran-tinytest, r-cran-roxut, r-cran-rmarkdown, r-cran-plot3d, r-cran-ade4, r-cran-plotrix, r-cran-latex2exp, r-cran-plotly, r-cran-xtable, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-learnpca_0.3.4-1.ca2004.1_all.deb
Size: 1124352
MD5sum: baebc3862d02974eb92d5b31989d0952
SHA1: 3f62aec81cc4f9eb5c4ac13165956a562da1a14b
SHA256: 0a05e7f90c6688ad890d8d022529d32a50d44fbc747e048314a1c9086ee54197
SHA512: 4e87458bcb15b7d1eac223ba55344cc8d332ad60841392dde78db98672afb134c45cf1a65f9080cb1c4d904fb8f581b5ee785180e4096a8c4a8fdafb895e4f74
Homepage: https://cran.r-project.org/package=LearnPCA
Description: CRAN Package 'LearnPCA' (Functions, Data Sets and Vignettes to Aid in Learning PrincipalComponents Analysis (PCA))
 Principal component analysis (PCA) is one of the most widely used data
 analysis techniques.  This package provides a series of vignettes explaining
 PCA starting from basic concepts. The primary purpose is to serve as a
 self-study resource for anyone wishing to understand PCA better. A few
 convenience functions are provided as well.

Package: r-cran-learnpopgen
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-phytools
Filename: pool/dists/focal/main/r-cran-learnpopgen_1.0.4-1.ca2004.1_all.deb
Size: 176560
MD5sum: ede3206e361f436a23ff4d44b43efb1b
SHA1: 0e83c99c14e7e1b3db995bb236671e363bb5b1b7
SHA256: 71a5aeaf5a9843ca8f641c673b9c7a3253cc0b26e1ceb00d573225c5d8511afc
SHA512: 059f9004a4f1f2920e45b316e44e6a067b5b81c7946c54d6323842e4650d05d259a3ec786f84bddd3fd3d66d95511d02de2d6fb606eb5f7df35a69274726a153
Homepage: https://cran.r-project.org/package=learnPopGen
Description: CRAN Package 'learnPopGen' (Population Genetic Simulations & Numerical Analysis)
 Conducts various numerical analyses and simulations in population genetics
 and evolutionary theory, primarily for the purpose of teaching (and learning
 about) key concepts in population & quantitative genetics, and evolutionary
 theory.

Package: r-cran-learnr
Architecture: all
Version: 0.11.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2883
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-digest, r-cran-ellipsis, r-cran-evaluate, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-knitr, r-cran-lifecycle, r-cran-markdown, r-cran-promises, r-cran-rappdirs, r-cran-renv, r-cran-rlang, r-cran-rmarkdown, r-cran-rprojroot, r-cran-shiny, r-cran-withr
Suggests: r-cran-bslib, r-cran-callr, r-cran-curl, r-cran-dbi, r-cran-httpuv, r-cran-later, r-cran-reticulate, r-cran-rsqlite, r-cran-rstudioapi, r-cran-shinytest2, r-cran-sortable, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-learnr_0.11.5-1.ca2004.1_all.deb
Size: 1529348
MD5sum: 9f62b3666d36f91a6feb9662205d8f04
SHA1: dcc8af94d56c343b1a798f8c53ebc66e04760e31
SHA256: 525095e9089274d82e3c0c689533523a2cfab6b0948cf11c62a3017c3d5c2d55
SHA512: bcc035a553e002aa395d1485292b60e97e88cd78f4ff9024d8470de78b403e5fb1fc7f831003377c8c23fd4b3228332d580e928bb0a521211e29803e31be3578
Homepage: https://cran.r-project.org/package=learnr
Description: CRAN Package 'learnr' (Interactive Tutorials for R)
 Create interactive tutorials using R Markdown. Use a combination of
 narrative, figures, videos, exercises, and quizzes to create self-paced
 tutorials for learning about R and R packages.

Package: r-cran-learnrbook
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3827
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-devtools, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-learnrbook_2.0.1-1.ca2004.1_all.deb
Size: 1912380
MD5sum: c3d2011d01b5bc2f2a76cf3d6c827504
SHA1: bfc075e47f35a7421e91a29fa78a620e7dc55eb2
SHA256: 5713970e0fb1d94c8dd034448e80f4ac370914b46077167be1fb762353df7912
SHA512: 413d91136d8fcef5d079149245784dac6baec1a68be72610f3ed2726746064b9b3cb7f9b24b4b6a19e5afe13cec28834c494f4e9cfd3ce632a6ca1ad0363006b
Homepage: https://cran.r-project.org/package=learnrbook
Description: CRAN Package 'learnrbook' (Datasets and Code Examples from P. J. Aphalo's "Learn R" Book)
 Data, scripts and code from chunks used as examples in the book "Learn R: As
 a Language" 1ed and 2ed by Pedro J. Aphalo.  ISBN 9780367182533 (pbk 1ed);
 ISBN 9780367182557 (hbk 1ed); ISBN 9780429060342 (ebk 1ed).

Package: r-cran-learnsl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli
Filename: pool/dists/focal/main/r-cran-learnsl_1.0.0-1.ca2004.1_all.deb
Size: 84600
MD5sum: 2efadc1b4ec5c6b4089fd0fbd78fceb7
SHA1: f695c3ecb94ad866e615a7d14454df706159ce9a
SHA256: 5785f723a8fa2f28742fa1a287c59ad3787a0c4e18aca38d8ef404b5b6e46e95
SHA512: c117e278a4b312af2339bc9cc64b67c1146ff3a698ead3c2a3563f449b866b67ca6ceb5fbed2a99fc88cee7b4b0b77cd183321228d7239c2a9ee03b71c236f23
Homepage: https://cran.r-project.org/package=LearnSL
Description: CRAN Package 'LearnSL' (Learn Supervised Classification Methods Through Examples andCode)
 Supervised classification methods, which (if asked) can provide step-by-step
 explanations of the algorithms used, as described in PK Josephine et. al.,
 (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which
 highlight the strengths and weaknesses of each technique.

Package: r-cran-learnstats
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-learnstats_0.1.1-1.ca2004.1_all.deb
Size: 71948
MD5sum: 41501ddbd5c26366b45eb0311724ab3d
SHA1: ea19edfbde377574739ab8e8db551449bd1e07f3
SHA256: 491f5ff2c0b2fd5ca2ad62a681db1535b46ddcb7af2362dbfb131f4d2e0b7bbf
SHA512: dcb62c5977b81858ee1071a266b37c62a8ad4bfe891c7518abd40e9714e485cf2c3b327683d7c18a45e9305ce2d43e6eb46e4c5590ee6990badcf4b2351de162
Homepage: https://cran.r-project.org/package=learnstats
Description: CRAN Package 'learnstats' (An Interactive Environment for Learning Statistics)
 Allows students to use R as an interactive educational environment for
 statistical concepts, ranging from p-values to confidence intervals to
 stability in time series.

Package: r-cran-learnvizlmm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dplyr, r-cran-rsvg, r-cran-stringr
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-learnvizlmm_1.0.0-1.ca2004.1_all.deb
Size: 567952
MD5sum: 2e6e9e90b0dc5e99b883fe9e01aa2bcc
SHA1: 96bd29467888511cd61864451a99d1506e0f143e
SHA256: 3ac3decb4e7bf4d31b58b1ec163c99ff8b9a5fc2e6429eb4c2bd5ba942d494e0
SHA512: 0422c7492d0568955137fe2eac8e9c8a237ee99c8e33f4a3ed298c2949380fa77c3e18b0ab4031e1bc5173225efc89af99429aecb7406383b1fb0b5e83efba8f
Homepage: https://cran.r-project.org/package=LearnVizLMM
Description: CRAN Package 'LearnVizLMM' (Learning and Communicating Linear Mixed Models Without Data)
 Summarizes characteristics of linear mixed effects models without data or a
 fitted model by converting code for fitting lmer() from 'lme4' and lme()
 from 'nlme' into tables, equations, and visuals. Outputs can be used to
 learn how to fit linear mixed effects models in 'R' and to communicate about
 these models in presentations, manuscripts, and analysis plans.

Package: r-cran-leastcostpath
Architecture: all
Version: 2.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-igraph, r-cran-foreach, r-cran-gstat, r-cran-matrix, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-leastcostpath_2.0.13-1.ca2004.1_all.deb
Size: 249240
MD5sum: dadc766f99984dca3d4b19188220f958
SHA1: fdc621057ab508771993f16bc121c8a396641f05
SHA256: e3ed599dd6e7441c6da0bbf05862cf11c79b0aa26cf2b0d514429bb55c41e183
SHA512: 34f5785c859000202d7724bab4ceee8997085b426d3654a4968e9445ffc577cc2d9bdd542f5408982f3ed93b4d657f8642f22f5d4b7df0b7da6249153ab22ee6
Homepage: https://cran.r-project.org/package=leastcostpath
Description: CRAN Package 'leastcostpath' (Modelling Pathways and Movement Potential Within a Landscape)
 Calculates cost surfaces based on slope to be used when modelling pathways
 and movement potential within a landscape (Lewis, 2021)
 <doi:10.1007/s10816-021-09522-w>.

Package: r-cran-ledger
Architecture: all
Version: 2.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-rio, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ledger_2.0.11-1.ca2004.1_all.deb
Size: 75384
MD5sum: 1bea8d418d0ca86fa8d1ffbc7fd46a8e
SHA1: f0f3604f50f28669055e6f17273d701d9f4a0f7a
SHA256: 3eef383c0a8398cb1d3a4bfa6dee7d4eb24e731d350015f35b957f138d6a0829
SHA512: 097e850330f887225ad079c1ca8270e48801f626c4b5304aeae3ebd431b411469cfbb9e6bdede679511688270875bdfd87b24a006db9882a1fd43fe23f03f1fb
Homepage: https://cran.r-project.org/package=ledger
Description: CRAN Package 'ledger' (Utilities for Importing Data from Plain Text Accounting Files)
 Utilities for querying plain text accounting files from 'Ledger', 'HLedger',
 and 'Beancount'.

Package: r-cran-leem
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1631
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tkrplotr, r-cran-tkrplot, r-cran-manipulate, r-cran-crayon, r-cran-diagram
Filename: pool/dists/focal/main/r-cran-leem_0.2.0-1.ca2004.1_all.deb
Size: 1546580
MD5sum: 574d66926821f968e0e4d8e98339e7c3
SHA1: 858e5fbffff9be47923e896504fb0cc24b7e847e
SHA256: cf0775a536a37abdb897acf9c85e5e94729bf4ed13b8eff9528b544ce9599507
SHA512: ddd89e0ef406a35cd97deae5d696a3e884ebea8df78a7c7c52f5e7286d174a56d2fca3faaa970891e2a8ce3711804a2b7fd38b845f18c61082d27b9dd7e95751
Homepage: https://cran.r-project.org/package=leem
Description: CRAN Package 'leem' (Laboratory of Teaching to Statistics and Mathematics)
 An educational package for teaching statistics and mathematics in both
 primary and higher education. The objective is to assist in the
 teaching/learning process, both for student study planning and teacher
 teaching strategies. The leem package aims to provide, in a simple yet
 in-depth manner, knowledge of statistics and mathematics to anyone who wants
 to study these areas of knowledge.

Package: r-cran-leersiecyl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-leersiecyl_1.0.2-1.ca2004.1_all.deb
Size: 41304
MD5sum: 2d293aeabcb4d4e8bfc51f15786ab118
SHA1: f6573e4c9f6a908b651047b409fcd30cc7c84e0f
SHA256: ada3960bd226ed1890b3a65be33e0a2d1aa569f1b8f0bff524bf384ee69e633e
SHA512: 5cf07f2b8fd26a811c6832948dfff3280dbc2642e5fc44b6bdc4152fca774c6fd88d2fef4ba95f50784d15103861a472b2690232999c7a0f57598545724d6999
Homepage: https://cran.r-project.org/package=leerSIECyL
Description: CRAN Package 'leerSIECyL' (Read Data from the SIE)
 Functions to download data from the SIE, which is the Statistical
 Information System (Sistema de Información Estadística) in the Statistical
 Portal of the Government of Castilla y León (Spain)
 <https://estadistica.jcyl.es>.

Package: r-cran-legco
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-curl, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-legco_0.1.4-1.ca2004.1_all.deb
Size: 251332
MD5sum: 39e2882fd089e6d74567f95c8f8c5b0b
SHA1: ab3c1bbd7f1c5f64d597a5bbd79a642fd4225b04
SHA256: 21120cfb90cb2c731004f17a74ea6ffaa6f21915badadba6a1ab09013c220cd4
SHA512: 34e940a7e7bd33368c4e19cdf4e2382d44aaa0f65e55247c4b354109c39a3315cb70860d22066fc9bf863f05a514ecbdc7cd7086003a1744e8ce8a27777297d1
Homepage: https://cran.r-project.org/package=legco
Description: CRAN Package 'legco' (R Bindings for the Hong Kong Legislative Council API)
 Fetching data from Hong Kong Legislative Council's open data API in R.
 Functions correspond to the data endpoints of the API.  Documentations of
 supported API databases:
 <https://www.legco.gov.hk/odata/english/billsdb.html>,
 <https://www.legco.gov.hk/odata/english/hansard-db.html>,
 <https://www.legco.gov.hk/odata/english/attendance-db.html>,
 <https://www.legco.gov.hk/odata/english/schedule-db.html> and
 <https://www.legco.gov.hk/odata/english/vrdb.html>.

Package: r-cran-legendry
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1173
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-cli, r-cran-gtable, r-cran-lifecycle, r-cran-rlang, r-cran-scales, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-ragg, r-cran-rmarkdown, r-cran-svglite, r-cran-systemfonts, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-legendry_0.2.2-1.ca2004.1_all.deb
Size: 1021900
MD5sum: 2096803ce43ff59eda18c672052bff51
SHA1: 236300b9c0685ea04e79ebc5998a0bb194d523d0
SHA256: ff019e07c052d7568bf565130ecb62b8dfb50cd0ca3b8b702391bb935e92786e
SHA512: be978ac063ccf485b925c6a38e48e93a3272c9c4a1cc06556518917776eb7a5526beaf94ae744bc9e8b63090a7fb8caf510649867bb5c69e4bcfffe34d01547b
Homepage: https://cran.r-project.org/package=legendry
Description: CRAN Package 'legendry' (Extended Legends and Axes for 'ggplot2')
 A 'ggplot2' extension that focusses on expanding the plotter's arsenal of
 guides. Guides in 'ggplot2' include axes and legends. 'legendry' offers new
 axes and annotation options, as well as new legends and colour displays.

Package: r-cran-legislator
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-legislator_1.1.0-1.ca2004.1_all.deb
Size: 320984
MD5sum: aafef1a2b7e5ef6243fb478a5d710cb2
SHA1: 7ef38d885fdf4b06a9d73a394937a0f244b69d11
SHA256: e56acb4c73b59643134c6ca3393d45f29a996df8e8b41971d602664eb467d2f2
SHA512: 0eeee6e248aabd35176359632c81186ab50eba791fbd411db134d7ff2bdf3d4487f7c32803817835924eec5e0a8f44a75ff48264c133b46cbca57a5cc2ab2b42
Homepage: https://cran.r-project.org/package=legislatoR
Description: CRAN Package 'legislatoR' (Interface to the Comparative Legislators Database)
 Facilitates access to the Comparative Legislators Database (CLD). The CLD
 includes political, sociodemographic, career, online presence, public
 attention, and visual information for over 67,000 contemporary and
 historical politicians from 16 countries.

Package: r-cran-legit
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula.tools, r-cran-proc, r-cran-foreach, r-cran-snow, r-cran-dosnow, r-cran-iterators, r-cran-hmisc, r-cran-boot, r-cran-rcolorbrewer, r-cran-glmnet, r-cran-lme4
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-legit_1.4.1-1.ca2004.1_all.deb
Size: 903840
MD5sum: 372d0593546a17e5a5296fbba3445572
SHA1: f4f52f8cfd155318d0eeb0aa33c571c9b1feff94
SHA256: 5a43515e35bd2c4bf53b455a107c2fbb16ae9ae8bacbcbf496a14606bf5e1da6
SHA512: 7154a643f5bdd5da966e5868cea8db5bd7782e7bb3f84e650140d6651632d6fb05ed13261b8c997b27feb770866b68265509f00018cb47709250b4e1ff51a9ee
Homepage: https://cran.r-project.org/package=LEGIT
Description: CRAN Package 'LEGIT' (Latent Environmental & Genetic InTeraction (LEGIT) Model)
 Constructs genotype x environment interaction (GxE) models where G is a
 weighted sum of genetic variants (genetic score) and E is a weighted sum of
 environments (environmental score) using the alternating optimization
 algorithm by Jolicoeur-Martineau et al. (2017) <arXiv:1703.08111>. This
 approach has greatly enhanced predictive power over traditional GxE models
 which include only a single genetic variant and a single environmental
 exposure. Although this approach was originally made for GxE modelling, it
 is flexible and does not require the use of genetic and environmental
 variables. It can also handle more than 2 latent variables (rather than just
 G and E) and 3-way interactions or more. The LEGIT model produces highly
 interpretable results and is very parameter-efficient thus it can even be
 used with small sample sizes (n < 250). Tools to determine the type of
 interaction (vantage sensitivity, diathesis-stress or differential
 susceptibility), with any number of genetic variants or environments, are
 available <arXiv:1712.04058>. The software can now produce mixed-effects
 LEGIT models through the lme4 package.

Package: r-cran-legocolors
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-legocolors_0.4.0-1.ca2004.1_all.deb
Size: 94924
MD5sum: 0c45de092831a0c576678ba94366e44d
SHA1: e9d2966294dfeec0ef06f077b568098298389aa5
SHA256: 48efb99e4e6f494adaf13fa499c412480c542b1c116172da8596781aea126130
SHA512: 22f4a8bfecb86b3b5aa6bdbfbdab7380bfae1aa13d229673ef4643778c22f1324f6b2ab22a899d91968f8f8898339fa807cf1a884f908e92cb6d548695ce8acd
Homepage: https://cran.r-project.org/package=legocolors
Description: CRAN Package 'legocolors' (Official Lego Color Palettes)
 Provides a dataset containing several color naming conventions established
 by multiple sources, along with associated color metadata.  The package also
 provides related helper functions for mapping among the different Lego color
 naming conventions and between Lego colors, hex colors, and 'R' color names,
 making it easy to convert any color palette to one based on existing Lego
 colors while keeping as close to the original color palette as possible.
 The functions use nearest color matching based on Euclidean distance in RGB
 space.  Naming conventions for color mapping include those from 'BrickLink'
 (<https://www.bricklink.com>), 'The Lego Group' (<https://www.lego.com>),
 'LDraw' (<https://www.ldraw.org/>), and 'Peeron' (<http://www.peeron.com/>).

Package: r-cran-lehdr
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-glue, r-cran-httr2, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-pacman
Filename: pool/dists/focal/main/r-cran-lehdr_1.1.4-1.ca2004.1_all.deb
Size: 41380
MD5sum: 212913210ee2d076dfbba91515bdddfc
SHA1: 722e1e5a5f3de09b9253a296d86bf1b10529d6fd
SHA256: e26b652d2a9b4cdb2a39e446dbed344ae85e31a86b4dd14e601c25c6eb1c3b3f
SHA512: 06b7b232453ca5af933357d0cf909050271edfd2dc074bd7280dc0fe461c4cdb96643519214eac271d9531543dcc00b43b5338996a809b9dede533c69ddccf62
Homepage: https://cran.r-project.org/package=lehdr
Description: CRAN Package 'lehdr' (Grab Longitudinal Employer-Household Dynamics (LEHD) Flat Files)
 Designed to query Longitudinal Employer-Household Dynamics (LEHD)
 workplace/residential association and origin-destination flat files and
 optionally aggregate Census block-level data to block group, tract, county,
 or state. Data comes from the LODES FTP server
 <https://lehd.ces.census.gov/data/lodes/LODES8/>.

Package: r-cran-lehuynh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-ggplot2, r-cran-usethis, r-cran-ggpubr, r-cran-purrr, r-cran-stringr, r-cran-magrittr, r-cran-readxl, r-cran-dplyr, r-cran-fs, r-cran-rio, r-cran-tibble
Suggests: r-cran-testthat, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-lehuynh_0.1.1-1.ca2004.1_all.deb
Size: 172008
MD5sum: c02736b02090fb8e83e3be166ecfc0e2
SHA1: 2ea743542cf681d227c13f6618c966fb6316aaba
SHA256: 36b896f2ae003124491dba3db3873665d497776160161d630b3d6b75231c2b1e
SHA512: 7eccb8740302921071946bfc3ef43a6a249f72dc6737433af2f8e299dda35a9682155d973126114546bf833c0638345e0d3eef434cf4464c4466bf51e9ae0ce5
Homepage: https://cran.r-project.org/package=lehuynh
Description: CRAN Package 'lehuynh' (Le-Huynh Truc-Ly's R Code and Templates)
 Miscellaneous R functions (for graphics, data import, data transformation,
 and general utilities) and templates (for exploratory analysis, Bayesian
 modeling, and crafting scientific manuscripts).

Package: r-cran-leiden
Architecture: all
Version: 0.4.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5565
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-matrix, r-cran-igraph
Suggests: r-cran-bipartite, r-cran-covr, r-cran-data.table, r-cran-devtools, r-cran-graphsim, r-cran-knitr, r-cran-markdown, r-cran-multiplex, r-cran-multinet, r-cran-network, r-cran-qpdf, r-cran-rcolorbrewer, r-cran-remotes, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-leiden_0.4.3.1-1.ca2004.1_all.deb
Size: 2334660
MD5sum: b27eed082bf9f83905c157428ba8fa88
SHA1: ef080b40832fdf9ce306c3ec7c5dee2aa89400c4
SHA256: 0da96d2e986e0a2dce0635ee103b990c39d061c1619c5433f918956ff67c370e
SHA512: 2173cf220da601d917c9f2a23d6f71738558dbe2edc61f06ceb29fa926ce491164b8b8f481a29850fd9294642d1d12fcc19aa972eb854d9363215bbbd1c8b22b
Homepage: https://cran.r-project.org/package=leiden
Description: CRAN Package 'leiden' (R Implementation of Leiden Clustering Algorithm)
 Implements the 'Python leidenalg' module to be called in R.  Enables
 clustering using the leiden algorithm for partition a graph into
 communities.  See the 'Python' repository for more details:
 <https://github.com/vtraag/leidenalg> Traag et al (2018) From Louvain to
 Leiden: guaranteeing well-connected communities. <arXiv:1810.08473>.

Package: r-cran-leiv
Architecture: all
Version: 2.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-leiv_2.0-7-1.ca2004.1_all.deb
Size: 130368
MD5sum: 117e79e75fb502f8ea7d1f1c4ba73f41
SHA1: 158c10db1f366c1b1c810da754ffa2896e0de8a2
SHA256: 405748d427ad7b17bde64581c2e90777aca7d8dce3125a08d887178566fdd38a
SHA512: 4c285a6a96072f8cde72db1b061b66ad1b49e5982a502109511d095ed390a266387c7b8856de7d49a2ab9a622ae73f30ae05c38a575ca56bab2d2de28192ddf4
Homepage: https://cran.r-project.org/package=leiv
Description: CRAN Package 'leiv' (Bivariate Linear Errors-In-Variables Estimation)
 Estimate the slope and intercept of a bivariate linear relationship by
 calculating a posterior density that is invariant to interchange and scaling
 of the coordinates.

Package: r-cran-lemon
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3465
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-gridextra, r-cran-gtable, r-cran-knitr, r-cran-lattice, r-cran-scales
Suggests: r-cran-rmarkdown, r-cran-stringr, r-cran-dplyr, r-cran-testthat, r-cran-vdiffr, r-cran-diffviewer
Filename: pool/dists/focal/main/r-cran-lemon_0.5.0-1.ca2004.1_all.deb
Size: 2490492
MD5sum: 6040d4d1db69d9874c31e9149dbce6f1
SHA1: 0add6b6bcb0bb96bb1350c0cffc24fe983f3b35b
SHA256: 9e8b8c49c445b08736bb427e751859b1987a24458c4cda3b7271a26b7eba81ad
SHA512: b1ceaedccd10f8b7156d97d822ed8a455cfbcc99cecaf029183a539a5db32e78e33969f36499d6649f85334233a79b45fe71cc851275b40d651f43f402b29223
Homepage: https://cran.r-project.org/package=lemon
Description: CRAN Package 'lemon' (Freshing Up your 'ggplot2' Plots)
 Functions for working with legends and axis lines of 'ggplot2', facets that
 repeat axis lines on all panels, and some 'knitr' extensions.

Package: r-cran-lenght
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lenght_0.1.0-1.ca2004.1_all.deb
Size: 73036
MD5sum: ae009935a83ad1cbc1fb325e6156e33c
SHA1: de4b73516dd343461e7ede7a0c095cd2edf6c2c6
SHA256: 1d21b9cb0f7ef003658a8a8bb07dd97a3f33e86a9a39bf7cc181ee57f4e2f5c5
SHA512: 366500c6df3f058eb9e38f7937791fdc17cd9aad78a38b69b48e1b79f2bbf0b45cd8009d71fe80514ee2943f34e2db3346aba965e7ede785818b17ccd6c03519
Homepage: https://cran.r-project.org/package=lenght
Description: CRAN Package 'lenght' (Allow Misspellings of Length Function)
 Convenient aliases for common ways of misspelling the base R function
 length(). These include every permutation of the final three letters.

Package: r-cran-lenses
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-tidyselect, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lenses_0.0.3-1.ca2004.1_all.deb
Size: 118600
MD5sum: df8739b4a7af8bade967ae0587969f03
SHA1: 958e28c0cb7590d3d3ad59a06fa37759e4b6da7e
SHA256: 5485042e5183de7248a1632f5cf710b31dbc89860663c4dd55d847791f960b7c
SHA512: eadb151d3b5f5193aaac81a53af423d204beff6db866ae9edef21b34ba36bd1b94ba6f52575a53a27684a51a4107148268b951d9953f9b1c15a2098a5a512ae4
Homepage: https://cran.r-project.org/package=lenses
Description: CRAN Package 'lenses' (Elegant Data Manipulation with Lenses)
 Provides tools for creating and using lenses to simplify data manipulation.
 Lenses are composable getter/setter pairs for working with data in a purely
 functional way. Inspired by the 'Haskell' library 'lens' (Kmett, 2012)
 <https://hackage.haskell.org/package/lens>. For a fairly comprehensive (and
 highly technical) history of lenses please see the 'lens' wiki
 <https://github.com/ekmett/lens/wiki/History-of-Lenses>.

Package: r-cran-leontief
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-leontief_0.3-1.ca2004.1_all.deb
Size: 57460
MD5sum: 656f68c76ea40f11ad3043f3827464f5
SHA1: 1df04ac653007eb770e19a328c0980bfb742936f
SHA256: aee410bbc46b78b3a3742eac625f16190a9b4dabcbe0dd804a64ff665642f10b
SHA512: 002555684c81920defcb42d4985f0bdc806c6690616f9eb7f3e02544ec92d241c7f6d30ea7ea80079bcfcff04c39e501b522dbafc121dfdee2513e1934f69deb
Homepage: https://cran.r-project.org/package=leontief
Description: CRAN Package 'leontief' (Input-Output Analysis)
 An implementation of the Input-Output model developed by Wassily Leontief
 that represents the interdependencies between different sectors of a
 national economy or different regional economies.

Package: r-cran-lepidochroma
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lepidochroma_0.1.0-1.ca2004.1_all.deb
Size: 112356
MD5sum: cc4ba35a0f6b02ec4c237a619eb4b1d6
SHA1: 16169a024b7c97cda56a9452b3369db8d5a189b7
SHA256: bfd951105c4d8dc3d1fdc0ed4e897a742f04f5bf39cf4469be9d3b4c52a163b6
SHA512: d0dbe55c6c0ab5e5b769a864a4e6aba38370df58c8a3a65ae7920ceee5135de0e1014937d2db5d785fc9d936c951c025bac83026180f56e6e782f98defa1e964
Homepage: https://cran.r-project.org/package=lepidochroma
Description: CRAN Package 'lepidochroma' (Colour Palettes Inspired by Butterflies)
 A collection of colour palettes inspired by some of our dearest butterfly
 species.  This package provides continuous and categorical palettes,
 including some colour blind friendly options.

Package: r-cran-leprechaun
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fs, r-cran-cli, r-cran-usethis, r-cran-jsonlite, r-cran-roxygen2
Suggests: r-cran-bslib, r-cran-yaml, r-cran-covr, r-cran-sass, r-cran-htmltools, r-cran-packer, r-cran-shiny, r-cran-testthat, r-cran-pkgload
Filename: pool/dists/focal/main/r-cran-leprechaun_1.0.0-1.ca2004.1_all.deb
Size: 76732
MD5sum: f469eb6d7de51c79781b8c15be97c2d8
SHA1: 8e7773d6d8b6a90ec4b6d7a23c7b341b3b6716eb
SHA256: 4b6eb65887db99ca8f7684b5a5d5061430988228dce0cf67bb35228500fda4d1
SHA512: 6cd333800a7662a3ca93cda3f25691588208f16e15f05cb81f0b0e89a0f7e75b98303cd4e2db5810df368b3f7696518020ac423ef18ae517f1242712adaa86e5
Homepage: https://cran.r-project.org/package=leprechaun
Description: CRAN Package 'leprechaun' (Create Simple 'Shiny' Applications as Packages)
 Code generator for robust dependency-free 'Shiny' applications in the form
 of packages. It includes numerous convenience functions to create modules,
 include utility functions to create common 'Bootstrap' elements, setup a
 project from the ground-up, and much more.

Package: r-cran-leri
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ncdf4, r-cran-raster
Suggests: r-cran-covr, r-cran-knitr, r-cran-maptools, r-cran-rmarkdown, r-cran-sf, r-cran-sp, r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-leri_0.0.1-1.ca2004.1_all.deb
Size: 702440
MD5sum: 359024da558dd9e8a81e65710c1de387
SHA1: 21e728720b343a2680d06b4c7c4011e53a5b38c0
SHA256: 5384ec79d0d9549669b022231eba855483399208969484e9987dae22f71e44d9
SHA512: 65918271e943b608ad5aa36b1b475c92462d54a6f458e17bd32466d77ed376f32c18e19cc126f4217711d6dc5a3dc720117faf020e0bd6c0c00ba835817bca6d
Homepage: https://cran.r-project.org/package=leri
Description: CRAN Package 'leri' (Access Landscape Evaporative Response Index Raster Data)
 Finds and downloads Landscape Evaporative Response Index (LERI) data, then
 reads the data into 'R' using the 'raster' package. The LERI product
 measures anomalies in actual evapotranspiration, to support drought
 monitoring and early warning systems. More info on LERI is available at
 <https://www.esrl.noaa.gov/psd/leri/>.

Package: r-cran-lero.lero
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lero.lero_0.2-1.ca2004.1_all.deb
Size: 16484
MD5sum: 255af49fb0294eb9c4ae1b8ed805a46c
SHA1: 91ea5ab16401ebd2708128ea1788a6dd6ec754f0
SHA256: d497a2bd239287a5cc18c5b71060bda6e92a5d7af982932827d2cdf2e977bc2b
SHA512: 3967d773a9aad790a5ab57a73711c11b1ad37215b1ed9e8af043c10302325d3cdc0660493ba5006a95d5d6cbea08fcae2dd3553c43f12c6f12e3a5823d73ea14
Homepage: https://cran.r-project.org/package=lero.lero
Description: CRAN Package 'lero.lero' (Generate 'Lero Lero' Quotes)
 Generates quotes from 'Lero Lero', a database for meaningless sentences
 filled with corporate buzzwords, intended to be used as corporate lorem
 ipsum (see <http://www.lerolero.com/> for more information). Unfortunately,
 quotes are currently portuguese-only.

Package: r-cran-less
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1108
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-e1071, r-cran-fnn, r-cran-mlmetrics, r-cran-pracma, r-cran-r6, r-cran-randomforest, r-cran-rann, r-cran-rpart, r-cran-wordspace
Filename: pool/dists/focal/main/r-cran-less_0.1.0-1.ca2004.1_all.deb
Size: 864752
MD5sum: b832944b01ed5969023bf4252955c377
SHA1: 512dc61e8e50732468857407c25a9243ab89149d
SHA256: 9e11944ae2eed78d32219f9f0cf017453a6f811c51800cf95990299c780c7173
SHA512: 6d584f494cd00f6b913a5e4aac3e643b2c63d71aa4c28b79dd002b5865ffd2a5d46c93d3aa48ddafbc89d7460afb2bcf587d19b0e35cf7d1b724293d0ab8d468
Homepage: https://cran.r-project.org/package=less
Description: CRAN Package 'less' (Learning with Subset Stacking)
 "Learning with Subset Stacking" is a supervised learning algorithm that is
 based on training many local estimators on subsets of a given dataset, and
 then passing their predictions to a global estimator. You can find the
 details about LESS in our manuscript at <arXiv:2112.06251>.

Package: r-cran-lessr
Architecture: all
Version: 4.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3590
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-robustbase, r-cran-ellipse, r-cran-leaps, r-cran-openxlsx, r-cran-colorspace, r-cran-shiny, r-cran-knitr, r-cran-kableextra, r-cran-xts, r-cran-zoo, r-cran-mass
Suggests: r-cran-kernsmooth, r-cran-haven, r-cran-readods, r-cran-triangle, r-cran-arrow, r-cran-rmarkdown, r-cran-wesanderson
Filename: pool/dists/focal/main/r-cran-lessr_4.4.4-1.ca2004.1_all.deb
Size: 2949504
MD5sum: 13b2340a1ca52775e699039120f4e67a
SHA1: e866ea2b327430933ea586a4771eaeec3281711d
SHA256: 86a71b8874167b393f0c4927abe900944a8c0b4672bb1aa944d4ea5b87634012
SHA512: 9aed0a686acc6bd7d8cdc7850a026b9b9b4638cff5d3b0adde967888731a771e10645807df3f601caff1f13a3402500729f292ec05423cf3712ce097283b5f83
Homepage: https://cran.r-project.org/package=lessR
Description: CRAN Package 'lessR' (Less Code, More Results)
 Each function replaces multiple standard R functions. For example, two
 function calls, Read() and CountAll(), generate summary statistics for all
 variables in the data frame, plus histograms and bar charts as appropriate.
 Other functions provide for summary statistics via pivot tables, a
 comprehensive regression analysis, ANOVA and t-test, visualizations
 including the Violin/Box/Scatter plot for a numerical variable, bar chart,
 histogram, box plot, density curves, calibrated power curve, reading
 multiple data formats with the same function call, variable labels, time
 series with aggregation and forecasting, color themes, and Trellis (facet)
 graphics. Also includes a confirmatory factor analysis of multiple indicator
 measurement models, pedagogical routines for data simulation such as for the
 Central Limit Theorem, generation and rendering of regression instructions
 for interpretative output, and interactive visualizations.

Package: r-cran-lestat
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lestat_1.9-1.ca2004.1_all.deb
Size: 309968
MD5sum: d4d73b0e77908cdb7a6c2294c8c27eb0
SHA1: b901431fd528476737c32a97b99a21ef363303a9
SHA256: 2e65d38ecacf23c42f8a104cf3fa81eee5d76ca3df316519d8f1efa8431c3225
SHA512: 88848e8afa87a88e0436c57394d69151aaeec13e5f9f965adf090697550299e032ca92f6221395b99cb0a24ac0b57511a1d118412c7a078a659c2e217b68aa1f
Homepage: https://cran.r-project.org/package=lestat
Description: CRAN Package 'lestat' (A Package for Learning Statistics)
 Some simple objects and functions to do statistics using linear models and a
 Bayesian framework.

Package: r-cran-letsherp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3283
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-pbapply, r-cran-pbmcapply, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-letsherp_0.1.0-1.ca2004.1_all.deb
Size: 2865352
MD5sum: 8821c4a3172a9c0510fcb88504cf9eb2
SHA1: d9362326a66c22b970621f07d3556846161de3fb
SHA256: 3edd1d99af9ab13bd385fd8288461b9daf34d2f3c485327f95f37c16be741913
SHA512: 65085b88a74f399db0ff7dbbe429bca8f21b9066f69507033f39478128608b4715f95126d200a00d43c4007ebc960f6a15bbb31ff1b496f09ef3770554381cf2
Homepage: https://cran.r-project.org/package=letsHerp
Description: CRAN Package 'letsHerp' (An Interface to the Reptile Database)
 Provides tools to retrieve and summarize taxonomic information and synonymy
 data for reptile species using data scraped from The Reptile Database
 website (<https://reptile-database.reptarium.cz/>). Outputs include clean
 and structured data frames useful for ecological, evolutionary, and
 conservation research.

Package: r-cran-letsr
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4412
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-geosphere, r-cran-sf
Suggests: r-cran-testthat, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-kableextra, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-letsr_5.0-1.ca2004.1_all.deb
Size: 3014140
MD5sum: 04e08644a35002141003d58b659eaf51
SHA1: d957b2e6bcddc884578299b1bdbf3802a6d52378
SHA256: f4b7ea28c849a6e574a113a2fca7870588a40f3f30b2e6238f31ff30da92b035
SHA512: d4be2b5cad934c4d3f9768a7146cce1699b17b03a60cb62ca8bae7178179fa9b04b0f0733aa0f505462b8af52fd0627339869021262196f9e53e4f0b8a1a9a52
Homepage: https://cran.r-project.org/package=letsR
Description: CRAN Package 'letsR' (Data Handling and Analysis in Macroecology)
 Handling, processing, and analyzing geographic data on species'
 distributions and environmental variables.  Read Vilela & Villalobos (2015)
 <doi:10.1111/2041-210X.12401> for details.

Package: r-cran-lettervalue
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-glue, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-lettervalue_0.2.1-1.ca2004.1_all.deb
Size: 21516
MD5sum: a663fc8950b43b5c09ef62179cef872e
SHA1: 2f18817ab6de077a82c6336bc60ff0c03e4ec2d1
SHA256: 881929a8219ae770ac71c12f5e1245f1e20caaef066c4b99e3c38de2dd445999
SHA512: c9360dbcbad90a7d20dc7ef60f81e31b550a447d552e23ad33016017f60a4f7249280664074d51a928bd827403eb73012e365baadb9b8d5b6663d84764509538
Homepage: https://cran.r-project.org/package=lettervalue
Description: CRAN Package 'lettervalue' (Computing Letter Values)
 Letter Values for the course Exploratory Data Analysis at Federal University
 of Bahia (Brazil). The approach implemented in the package is presented in
 the textbook of Tukey (1977) <ISBN: 978-0201076165>.

Package: r-cran-levitate
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-stringdist
Suggests: r-cran-glue, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-styler, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-levitate_0.2.0-1.ca2004.1_all.deb
Size: 204792
MD5sum: d3d0b2dc291d91194e5a56592c1622bb
SHA1: c01da27fea33157483bb7539c3be65bbfa1de611
SHA256: a82b4acfe7726b9dc8673cecd7b4e24b268baa6cfbab10fbe51eea2de5a26fc5
SHA512: c716f4f4651700eb055da569d6fabfdfadc6e5fe16d6f99d3c16e8d6ed5b48cced6fbf4dec23126f5e7f32322e8607dd81a19295160f7714114ddf874ec3516d
Homepage: https://cran.r-project.org/package=levitate
Description: CRAN Package 'levitate' (Fuzzy String Comparison)
 Provides string similarity calculations inspired by the Python 'thefuzz'
 package. Compare strings by edit distance, similarity ratio, best matching
 substring, ordered token matching and set-based token matching. A range of
 edit distance measures are available thanks to the 'stringdist' package.

Package: r-cran-lexfindr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-future.apply, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-lexfindr_1.1.0-1.ca2004.1_all.deb
Size: 280180
MD5sum: 948e72503e4ee39eb4507f455e7deff4
SHA1: 4c46b5f389e367871738220f9f231594a7ecdc19
SHA256: 15a653e15ad40222cd6f15b1c37b528eea8734ec6de7f39923aaf0e3fe61a15f
SHA512: 184b49ba307c31957db44e8a1bbcc035f457855215ab70c4bdf771d48a35a7a83d1b7cc53b6803e49c9c86de913b494785989f41af1f83ee16c1aa6657bae29b
Homepage: https://cran.r-project.org/package=LexFindR
Description: CRAN Package 'LexFindR' (Find Related Items and Lexical Dimensions in a Lexicon)
 Implements code to identify lexical competitors in a given list of words. We
 include many of the standard competitor types used in spoken word
 recognition research, such as functions to find cohorts, neighbors, and
 rhymes, amongst many others. The package includes documentation for using a
 variety of lexicon files, including those with form codes made up of
 multiple letters (i.e., phoneme codes) and also basic orthographies.
 Importantly, the code makes use of multiple CPU cores and vectorization when
 possible, making it extremely fast and able to handle large lexicons.
 Additionally, the package contains documentation for users to easily write
 new functions, allowing researchers to examine other relationships within a
 lexicon.  Preprint: <https://osf.io/preprints/psyarxiv/8dyru/>. Open access:
 <doi:10.3758/s13428-021-01667-6>.  Citation: Li, Z., Crinnion, A.M. &
 Magnuson, J.S. (2021).  <doi:10.3758/s13428-021-01667-6>.

Package: r-cran-lexicon
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-syuzhet
Filename: pool/dists/focal/main/r-cran-lexicon_1.2.1-1.ca2004.1_all.deb
Size: 3246392
MD5sum: b2b8de3b297370eb8076c4eb02e292bf
SHA1: 94fc89601b0a13cd484e418361622002bd9f66ac
SHA256: a4edd8fc34e662de12b37f36b5e0fb919ac50bce06149e7296c14dd0af353c9b
SHA512: 6f3e084d02782db5719a7bffc339a9a87910d1547204697a07d6406545cb6a8768da8759662e6d0aa60caeff33b3f4a09a17ed1afe3a1bb7b9e6e86dc30475f1
Homepage: https://cran.r-project.org/package=lexicon
Description: CRAN Package 'lexicon' (Lexicons for Text Analysis)
 A collection of lexical hash tables, dictionaries, and word lists.

Package: r-cran-lexiconpt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lexiconpt_0.1.0-1.ca2004.1_all.deb
Size: 318824
MD5sum: 72b37b6357aef882b2f6d1345c5a9c99
SHA1: e0f1dbdc06e3a07d29161f100d103f57b74519c5
SHA256: 260fdec02b6673e31408810505e031e4580fcbf6a97242abec1aaa08d1c88a20
SHA512: bc93efedff9ac5aa62ef8e2aa9aa40bd9d1f545167a5d39b910585518c1ef5f93a5a0808c42f8d2d92e372bbb0396346f6db53f2dcf71be1e0857aeb34029d98
Homepage: https://cran.r-project.org/package=lexiconPT
Description: CRAN Package 'lexiconPT' (Lexicons for Portuguese Text Analysis)
 Provides easy access for sentiment lexicons for those who want to do text
 analysis in Portuguese texts.  As of now, two Portuguese lexicons are
 available: 'SentiLex-PT02' and 'OpLexicon' (v2.1 and v3.0).

Package: r-cran-lexisnexistools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-pbapply, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-stringdist, r-cran-stringi, r-cran-tibble
Suggests: r-cran-corpustools, r-cran-covr, r-cran-diffobj, r-cran-dplyr, r-cran-rsqlite, r-cran-testthat, r-cran-tidytext, r-cran-tm, r-cran-kableextra, r-cran-knitr, r-cran-pdftools, r-cran-rmarkdown, r-cran-spelling, r-cran-striprtf, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-lexisnexistools_1.0.0-1.ca2004.1_all.deb
Size: 867912
MD5sum: ecaaa3d0d5a6ee0e7740d8d53b1845f8
SHA1: da1616829ef9f760817204421cf2263a0019c5f1
SHA256: c78a4405af3ca8740fb928567bdaf7edd0c56fd346b0d6519a9184f87dbd6b54
SHA512: e16fe3ef7f3276bf8dbaec18a3579fb561e836cd77a922e988c5f666c902c5b8c6a67e5c5902f14cd778166d121a73662a9a7bbe886b8c93b158033c2050cbe7
Homepage: https://cran.r-project.org/package=LexisNexisTools
Description: CRAN Package 'LexisNexisTools' (Working with Files from 'LexisNexis')
 My PhD supervisor once told me that everyone doing newspaper analysis starts
 by writing code to read in files from the 'LexisNexis' newspaper archive
 (retrieved e.g., from <https://www.lexisnexis.com/> or any of the partner
 sites). However, while this is a nice exercise I do recommend, not everyone
 has the time. This package takes files downloaded from the newspaper archive
 of 'LexisNexis', reads them into R and offers functions for further
 processing.

Package: r-cran-lexisplotr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-hmdhfdplus
Filename: pool/dists/focal/main/r-cran-lexisplotr_0.4.0-1.ca2004.1_all.deb
Size: 235300
MD5sum: 8f0b441a07c487cb641e3431e4eef9b6
SHA1: 2c8ea70e4f53b2dc01ab88c4d96beeb169c12085
SHA256: 3ebd49202e33fe8f063e2e54754b9e6e986e1eca6d4a4f7532c350701750ef69
SHA512: 9b947b77bb1e1e6af333cbeb51b3aac33c145500e4aa33a110b33549b86cf6b7fa1303edb2359be757cd099dfee621aee19f12bdd3fd9ef104581dab1aac3222
Homepage: https://cran.r-project.org/package=LexisPlotR
Description: CRAN Package 'LexisPlotR' (Plot Lexis Diagrams for Demographic Purposes)
 Plots empty Lexis grids, adds lifelines and highlights certain areas of the
 grid, like cohorts and age groups.

Package: r-cran-lfactors
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lfactors_1.0.4-1.ca2004.1_all.deb
Size: 56796
MD5sum: a7e7d91dd516f182a77f0b0c6ac187e5
SHA1: 1e26098929a13c9f7039e5fecd37debfe36de0ff
SHA256: ac4301e128b5af50805148b6261cd0b4cdd984293431ce20a9eafbe0008c4f96
SHA512: f7f4f9ce33d3d791f54766e187d0b29d441e2820d91793819c691292db300606288963be5d5ac366bd0e9b55c56fa9f2a5e4dcb0f0e4c96b04a9848669aee8b9
Homepage: https://cran.r-project.org/package=lfactors
Description: CRAN Package 'lfactors' (Factors with Levels)
 Provides an extension to factors called 'lfactor' that are similar to
 factors but allows users to refer to 'lfactor' levels by either the level or
 the label.

Package: r-cran-lfapp
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2575
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinyfiles, r-cran-shinymobile, r-bioc-ebimage, r-cran-dt, r-cran-ggplot2, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-lfapp_1.4.1-1.ca2004.1_all.deb
Size: 1978404
MD5sum: ee073e617e8b49ed154943a08fffc663
SHA1: 871e7a95822017dcce8b34d9d681ae839d8c12e7
SHA256: 290e583678ab0fbef4c53c77f6d714516a851289fa0b2f5ea1928787d493ab3c
SHA512: 6e2624c6a2b20b80a24fc4c3f2b654e3b0d9f303853ec283f764697d125476fe670d2355cc6f244c351d2b66ef4d90bcba030ed13cccd8cb3bf8f3cd1a9237d2
Homepage: https://cran.r-project.org/package=LFApp
Description: CRAN Package 'LFApp' (Shiny Apps for Lateral Flow Assays)
 Shiny apps for the quantitative analysis of images from lateral flow assays
 (LFAs). The images are segmented and background corrected and color
 intensities are extracted. The apps can be used to import and export
 intensity data and to calibrate LFAs by means of linear, loess, or gam
 models. The calibration models can further be saved and applied to intensity
 data from new images for determining concentrations.

Package: r-cran-lfc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-deseq2, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-cran-lfc_0.2.3-1.ca2004.1_all.deb
Size: 76736
MD5sum: 9f648502ca04e8afa19cf2e55277f21a
SHA1: 668e770d0feb7f4849630e98825a3500eadd7c2a
SHA256: 08695233be121efbb567578fa5888be1d6a1a6525c617f26b2288e5420e2dc2e
SHA512: d685c236babeabfaaed9614e56d3aaaa4b4dfdf6a91a131bfee22216d041bea4c2bdb99dc4626beff2e59269eb8f24e02dc7cc596cf6c6f3998c5546abe87184
Homepage: https://cran.r-project.org/package=lfc
Description: CRAN Package 'lfc' (Log Fold Change Distribution Tools for Working with Ratios ofCounts)
 Ratios of count data such as obtained from RNA-seq are modelled using
 Bayesian statistics to derive posteriors for effects sizes. This approach is
 described in Erhard & Zimmer (2015) <doi:10.1093/nar/gkv696> and Erhard
 (2018) <doi:10.1093/bioinformatics/bty471>.

Package: r-cran-lfda
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-rarpack
Suggests: r-cran-testthat, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-lfda_1.1.3-1.ca2004.1_all.deb
Size: 53112
MD5sum: d875af9221d01b8d106430ec5c4de0c4
SHA1: fbf9e3d83b31aa35d8017c6eb6c6996e9c4a0567
SHA256: 50699a60e899e9ccb2244f3be55e08bcf5317a44602d1a3b22efc5b5c9321b1f
SHA512: 450f36768c1a60024f864496e41c29a1eb6c22185801086db549df8b8e6351a7e692ad75a7a9ece7b91588531fd22037f483653327becb5b5f57d4f4aed11e51
Homepage: https://cran.r-project.org/package=lfda
Description: CRAN Package 'lfda' (Local Fisher Discriminant Analysis)
 Functions for performing and visualizing Local Fisher Discriminant
 Analysis(LFDA), Kernel Fisher Discriminant Analysis(KLFDA), and
 Semi-supervised Local Fisher Discriminant Analysis(SELF).

Package: r-cran-lfdr.mle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lfdr.mle_1.0.1-1.ca2004.1_all.deb
Size: 104988
MD5sum: 6d5606cd89ecca10347a6f21f6da4d55
SHA1: f66e11d5dad2de4f0bb9d64e931187c234a6d12a
SHA256: 7685a8b9b6c250b59710054856ebfff4f06732da82a407c9aa19848dcad461a7
SHA512: f3f1209526cf4a506feb30e12d324a9b731b2092be695b3bb3e7fe8c13e4aade78cfa12a53cff60125a7a9a17dd5989f2deb99bc466c84734f5ff7a2732414fe
Homepage: https://cran.r-project.org/package=LFDR.MLE
Description: CRAN Package 'LFDR.MLE' (Estimation of the Local False Discovery Rates by Type II MaximumLikelihood Estimation)
 Suite of R functions for the estimation of the local false discovery rate
 (LFDR) using Type II maximum likelihood estimation (MLE).

Package: r-cran-lfdr.mme
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lfdr.mme_1.0-1.ca2004.1_all.deb
Size: 11892
MD5sum: 733d9c60b2263e11e0b8a7a529dbfcfc
SHA1: 274bcb79bad391a879c13b0bc4f12603dfe180a1
SHA256: bda1d2d6943a3fd127bb5ffae96061dc1dc7ec88b5015dfc7f3414be26ee3aef
SHA512: 48ea1a9c8b0281a825256787d6badbf405a25c0c9f7a62df1b5342b11a95ca8d923a4aa6d2d7be765e7db96a52602458a483d0a935a5e26da318847f61e14651
Homepage: https://cran.r-project.org/package=LFDR.MME
Description: CRAN Package 'LFDR.MME' (Estimating Local False Discovery Rates Using the Method ofMoments)
 Estimation of the local false discovery rate using the method of moments.

Package: r-cran-lfdrempiricalbayes
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-r6
Suggests: r-cran-lfdr.mle, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lfdrempiricalbayes_1.0-1.ca2004.1_all.deb
Size: 383424
MD5sum: 8a3e287a8f60787438f7e68d75461b93
SHA1: f7413ea71a83e2e0c8f6c4df34050b9f17ab7e7f
SHA256: c12cb63982616e64e8cf6cf48254ef165848989956819bf7493dd7e1ba92c443
SHA512: cffb228d6c4bf741f7a6a4c335a071614a6fd005f6ff9cfdaa25df1bb7e6f433551dd0a140b30a371f73503b39e2365bd0a476f1aab7cdb447586a86617eb89b
Homepage: https://cran.r-project.org/package=LFDREmpiricalBayes
Description: CRAN Package 'LFDREmpiricalBayes' (Estimating Local False Discovery Rates Using Empirical BayesMethods)
 New empirical Bayes methods aiming at analyzing the association of single
 nucleotide polymorphisms (SNPs) to some particular disease are implemented
 in this package. The package uses local false discovery rate (LFDR)
 estimates of SNPs within a sample population defined as a "reference class"
 and discovers if SNPs are associated with the corresponding disease.
 Although SNPs are used throughout this document, other biological data such
 as protein data and other gene data can be used. Karimnezhad, Ali and
 Bickel, D. R. (2016) <http://hdl.handle.net/10393/34889>.

Package: r-cran-lfm
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2893
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-farmtest, r-cran-mass, r-cran-sopc, r-cran-laplacesdemon, r-cran-matrixcalc, r-cran-relliptical
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lfm_0.3.1-1.ca2004.1_all.deb
Size: 2911388
MD5sum: 40bca5c1dbd9190d0acd712819bf7de1
SHA1: 9b880008665020a32dc1391987bf2c1cf980dd4f
SHA256: a1c79021306437ec7245d7f1ff19da9dc6c259aa1bd82781087b17f31a3ac34e
SHA512: e762055ef17dd80107203901e58a77cd3db4e820ecbef38629b0d53ad69a40290595c114221d90e97a27d7f1c99edaa3606b154ef922906795cbfcba604c2263
Homepage: https://cran.r-project.org/package=LFM
Description: CRAN Package 'LFM' (Laplace Factor Model Analysis and Evaluation)
 Enables the generation of Laplace factor models across diverse Laplace
 distributions and facilitates the application of Sparse Online Principal
 Component (SOPC), Incremental Principal Component (IPC), Perturbation
 Principal Component (PPC), Stochastic Approximation Principal Component
 (SAPC), Sparse Principal Component (SPC) and other PC methods and Farm Test
 methods to these models. Evaluates the efficacy of these methods within the
 context of Laplace factor models by scrutinizing parameter estimation
 accuracy, mean square error, and the degree of sparsity.

Package: r-cran-lfproqc
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vim, r-cran-dplyr, r-bioc-limma, r-cran-matrixstats, r-bioc-pcamethods, r-bioc-vsn, r-cran-reshape2, r-cran-laeken, r-cran-ggplot2, r-cran-hmisc, r-cran-reshape, r-cran-tidyr, r-cran-magrittr, r-cran-plotly, r-cran-mass, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-plyr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-lfproqc_1.4.0-1.ca2004.1_all.deb
Size: 975092
MD5sum: acdf8e9f2be7b3ee062b85f16305f537
SHA1: 85fc992c0ec7f11d572bcd5af2aab9feece72f63
SHA256: ba336dd46889fc77b1e09fc3b24ae326833a592214687ba04baace56f8faf3e5
SHA512: a9c89076c4d2c9e38ac00ac84afbcea711df170677d1cd515bfce887fd0f8778a219ab662df15f599af1fe70e7152f02e6f0d7983a7227c16803a0760f9984fc
Homepage: https://cran.r-project.org/package=lfproQC
Description: CRAN Package 'lfproQC' (Quality Control for Label-Free Proteomics Expression Data)
 Label-free bottom-up proteomics expression data is often affected by data
 heterogeneity and missing values. Normalization and missing value imputation
 are commonly used techniques to address these issues and make the dataset
 suitable for further downstream analysis. This package provides an optimal
 combination of normalization and imputation methods for the dataset. The
 package utilizes three normalization methods and three imputation
 methods.The statistical evaluation measures named pooled co-efficient of
 variance, pooled estimate of variance and pooled median absolute deviation
 are used for selecting the best combination of normalization and imputation
 method for the given dataset. The user can also visualize the results by
 using various plots available in this package. The user can also perform the
 differential expression analysis between two sample groups with the function
 included in this package. The chosen three normalization methods, three
 imputation methods and three evaluation measures were chosen for this study
 based on the research papers published by Välikangas et al. (2016)
 <doi:10.1093/bib/bbw095>, Jin et al. (2021) <doi:10.1038/s41598-021-81279-4>
 and Srivastava et al. (2023) <doi:10.2174/1574893618666230223150253>.

Package: r-cran-lfstat
Architecture: all
Version: 0.9.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1776
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xts, r-cran-lmom, r-cran-lattice, r-cran-lmomrfa, r-cran-dygraphs, r-cran-zoo, r-cran-latticeextra, r-cran-plyr, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lfstat_0.9.12-1.ca2004.1_all.deb
Size: 767336
MD5sum: e105e34a924f173662726f26c0b2c860
SHA1: d00a75c1573fe85b6c6c410d49fe037c00419129
SHA256: d1f4fd563f8d84175ce9560d5fe22a415304cd17b0beabfdce36dfddd1002087
SHA512: 5316abe3d3c9ac906eba740735b32437d3cfae6b0330a043c78809f5a0b54a90ccc9c07f7a2ead7cfe7e4376840aa215d946caf058888937d1d8288ca5a81fb0
Homepage: https://cran.r-project.org/package=lfstat
Description: CRAN Package 'lfstat' (Calculation of Low Flow Statistics for Daily Stream Flow Data)
 The "Manual on Low-flow Estimation and Prediction" (Gustard & Demuth (2009,
 ISBN:978-92-63-11029-9)), published by the World Meteorological
 Organisation, gives a comprehensive summary on how to analyse stream flow
 data focusing on low-flows. This packages provides functions to compute the
 described statistics and produces plots similar to the ones in the manual.

Package: r-cran-lg
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-localgauss, r-cran-logspline, r-cran-ggplot2, r-cran-ks, r-cran-np, r-cran-tseries
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lg_0.4.1-1.ca2004.1_all.deb
Size: 198496
MD5sum: 5dceb8b0a39befefed0397b0e26ae070
SHA1: c37bb80dbb88d52dd40f8f7f4b3724ba5c0a754e
SHA256: 05d9a64842426cf6d6ff9fe8a8158101c5c5235c181275f58ab02b861038019d
SHA512: 4ae4f87d36f45af2fc5b8b15e325e839d1690799352504f97718008cf6b4a69cbe9bf3c331e4e1e42991e00210c78c97197bf8557a6d30847b01b5d09f13f22c
Homepage: https://cran.r-project.org/package=lg
Description: CRAN Package 'lg' (Locally Gaussian Distributions: Estimation and Methods)
 An implementation of locally Gaussian distributions. It provides methods for
 implementing locally Gaussian multivariate density estimation, conditional
 density estimation, various independence tests for iid and time series data,
 a test for conditional independence and a test for financial contagion.

Package: r-cran-lgcp
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1482
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.utils, r-cran-sp, r-cran-sf, r-cran-raster, r-cran-iterators, r-cran-ncdf4, r-cran-rpanel, r-cran-fields, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lgcp_2.0-1.ca2004.1_all.deb
Size: 1307740
MD5sum: e51c515e2c1d2afb70f7ee7e227c5dd3
SHA1: d065b945f4e6b8f046589542d6bf10aa10c74444
SHA256: d5310515548d2bd799a8aabf8d7628289e01eac03d1717fa4b7bf95f290982ee
SHA512: 435db6e06bd8846d55daaf6cb8c90b5d752a6f919486e9c273e8d77bda601f0a92463822668d7debb89fd881246fb4272999a267e91ba8c1898c1168141f376c
Homepage: https://cran.r-project.org/package=lgcp
Description: CRAN Package 'lgcp' (Log-Gaussian Cox Process)
 Spatial and spatio-temporal modelling of point patterns using the
 log-Gaussian Cox process. Bayesian inference for spatial, spatiotemporal,
 multivariate and aggregated point processes using Markov chain Monte Carlo.
 See Benjamin M. Taylor, Tilman M. Davies, Barry S. Rowlingson, Peter J.
 Diggle (2015) <doi:10.18637/jss.v063.i07>.

Package: r-cran-lgdtoolkit
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-monobin
Filename: pool/dists/focal/main/r-cran-lgdtoolkit_0.2.0-1.ca2004.1_all.deb
Size: 244460
MD5sum: 73b3720b15dfb5aa6af2d0daa57711fc
SHA1: bab80ebe2471278bceeea9a350d5233abf72c4f5
SHA256: ad85de41eab67c5dd3982e4a465aa097722e2c11876056152c7e7a12d9d0748b
SHA512: fd3e7e98e2f7cba9ed9e63799a772cf02a3d72802dcb699240e9347cf54c57be2ab32df824867faebc9b95420a52511ddd3485a3c62a2cd5863f40bda5232748
Homepage: https://cran.r-project.org/package=LGDtoolkit
Description: CRAN Package 'LGDtoolkit' (Collection of Tools for LGD Rating Model Development)
 The goal of this package is to cover the most common steps in Loss Given
 Default (LGD) rating model development.  The main procedures available are
 those that refer to bivariate and multivariate analysis. In particular two
 statistical methods for multivariate analysis are currently implemented –
 OLS regression and fractional logistic regression.  Both methods are also
 available within different blockwise model designs and both have customized
 stepwise algorithms.  Descriptions of these customized designs are available
 in Siddiqi (2016) <doi:10.1002/9781119282396.ch10> and Anderson, R.A. (2021)
 <doi:10.1093/oso/9780192844194.001.0001>.  Although they are explained for
 PD model, the same designs are applicable for LGD model with different
 underlying regression methods (OLS and fractional logistic regression). To
 cover other important steps for LGD model development, it is recommended to
 use 'LGDtoolkit' package along with 'PDtoolkit', and 'monobin' (or
 'monobinShiny') packages.  Additionally, 'LGDtoolkit' provides set of
 procedures handy for initial and periodical model validation.

Package: r-cran-lgewis
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-skat, r-cran-geem, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-lgewis_1.1-1.ca2004.1_all.deb
Size: 91720
MD5sum: e447496a71e4ed16e081c70bdd89d467
SHA1: 6edb6722b48d154423ae90b3fae046438c411168
SHA256: 5f9faa35c52495f892a869c0e458a4b4de96de798842e45b34275604943b9f8d
SHA512: 5f742057863eb0f121467b300654e28ff9ab4fe73c257092e359882a3c4dc72fce6a71f0219f29886afd5d4d9540eae5153ab19e90ccc186a429237ad4a0fc4b
Homepage: https://cran.r-project.org/package=LGEWIS
Description: CRAN Package 'LGEWIS' (Tests for Genetic Association/Gene-Environment Interaction inLongitudinal Studies)
 Functions for genome-wide association studies (GWAS)/gene-environment-wide
 interaction studies (GEWIS) with longitudinal outcomes and exposures. He et
 al. (2017) "Set-Based Tests for Gene-Environment Interaction in Longitudinal
 Studies" and He et al. (2017) "Rare-variant association tests in
 longitudinal studies, with an application to the Multi-Ethnic Study of
 Atherosclerosis (MESA)".

Package: r-cran-lglasso
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lglasso_0.1.0-1.ca2004.1_all.deb
Size: 68556
MD5sum: b4c51be6be75450dfe37dcb1b7939f81
SHA1: c569f4dae04eb2b0a206c477e744b34db8ce3be9
SHA256: 89b9c5debf4d3108dbca17231cecf4d9b793ef61d9e7bb5aab2cda95fa504f58
SHA512: 39540532898021f88ca858eb86cb6cd448c424ae84dac50754aa61726f80e9736b32769a63a9885360bd66c1d7c21b72633fcda4200ecfa609f63e9754bc5531
Homepage: https://cran.r-project.org/package=lglasso
Description: CRAN Package 'lglasso' (Longitudinal Graphical Lasso)
 For high-dimensional correlated observations, this package carries out the
 L_1 penalized maximum likelihood estimation of the precision matrix
 (network) and the correlation parameters. The correlated data can be
 longitudinal data (may be irregularly spaced) with dampening correlation or
 clustered data with uniform correlation.  For the details of the algorithms,
 please see the paper Jie Zhou et al. Identifying Microbial Interaction
 Networks Based on Irregularly Spaced Longitudinal 16S rRNA sequence data
 <doi:10.1101/2021.11.26.470159>.

Package: r-cran-lgr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2140
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6
Suggests: r-cran-cli, r-cran-covr, r-cran-crayon, r-cran-data.table, r-cran-desc, r-cran-future, r-cran-future.apply, r-cran-glue, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-rotor, r-cran-rprojroot, r-cran-testthat, r-cran-tibble, r-cran-whoami, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-lgr_0.4.4-1.ca2004.1_all.deb
Size: 1264508
MD5sum: 93f0f4b25781f44612aee17b9dbdd424
SHA1: 48eb61fe6176a36f5cd4fe278fc1dc34bad37d2e
SHA256: aaa734fcacce309ca83584f7bbf3026d066d191def841f274bb5836b79aa0d5d
SHA512: cfe586fa57dc6b7523ac777dcb2f5762b61a15af3cbd524f19a23b5bbf949a95ab622fe6ecedf523912605afb5b62bf5887e01040416705021bba8feccbfa8f3
Homepage: https://cran.r-project.org/package=lgr
Description: CRAN Package 'lgr' (A Fully Featured Logging Framework)
 A flexible, feature-rich yet light-weight logging framework based on 'R6'
 classes. It supports hierarchical loggers, custom log levels, arbitrary data
 fields in log events, logging to plaintext, 'JSON', (rotating) files, memory
 buffers. For extra appenders that support logging to databases, email and
 push notifications see the the package lgr.app.

Package: r-cran-lgrdata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-lgrdata_0.1.1-1.ca2004.1_all.deb
Size: 568228
MD5sum: 1338b314024d25bca5bf107db83dbf4a
SHA1: ece0c3187b24417686e5eb03a2fd212643cb460d
SHA256: 1bc4b83690207b815e680cf922df1b5170013f2a32cacc1aa7289540ea75b30a
SHA512: 978149e6443cf7df5ed4eee13a402b680f34480497ef4daa19dca1520d580b5c844ed2b2f9a208f93f5d0018f89caa656e139db592572ad1f533034fbbe94534
Homepage: https://cran.r-project.org/package=lgrdata
Description: CRAN Package 'lgrdata' (Example Datasets for a Learning Guide to R)
 A largish collection of example datasets, including several classics. Many
 of these datasets are well suited for regression, classification, and
 visualization.

Package: r-cran-lgrextra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 816
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-lgr, r-cran-r6
Suggests: r-cran-covr, r-cran-dbi, r-cran-elastic, r-cran-gmailr, r-cran-httr2, r-cran-jsonlite, r-cran-knitr, r-cran-paws.management, r-cran-pool, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rpushbullet, r-cran-rsqlite, r-cran-rsyslog, r-cran-sendmailr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lgrextra_0.1.0-1.ca2004.1_all.deb
Size: 711404
MD5sum: 433d67a3b78bb413c328420f8ca66911
SHA1: 03798e225c793a157ccdaa02bc4d8695804c0436
SHA256: f70d8c7710fa68635b1eb4915b2c6973663585f121363a70f6e3f9265a4cddda
SHA512: 1437815468cecad35bf1638230d9c064e534b7d53592a194e6bd399c54ab7ab99b220ddd41aec31569c15a202f90539dcf843d2ef41cd36941f1b50620a9372d
Homepage: https://cran.r-project.org/package=lgrExtra
Description: CRAN Package 'lgrExtra' (Extra Appenders for 'lgr')
 Additional appenders for the logging package 'lgr' that support logging to
 databases, email and push notifications.

Package: r-cran-lgrf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-skat, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-lgrf_1.0-1.ca2004.1_all.deb
Size: 67272
MD5sum: 57023ad32211b3851c17c8dd87227641
SHA1: 230733ef312641b81e1a7682a7c4232fd221668f
SHA256: 976061219e03cf6499d7b9141389fa447c5b8134c055267ef59e3458cb3962b4
SHA512: 6e61df143abe0ad698b823fe62f0e3321eb0ba950819a79c26a6349a3803ee3cccedb4ba2ef5f144846ea5c1f89718caa3c826f98bf44dfdf70e79987a810375
Homepage: https://cran.r-project.org/package=LGRF
Description: CRAN Package 'LGRF' (Set-Based Tests for Genetic Association in Longitudinal Studies)
 Functions for the longitudinal genetic random field method (He et al., 2015,
 <doi:10.1111/biom.12310>) to test the association between a longitudinally
 measured quantitative outcome and a set of genetic variants in a
 gene/region.

Package: r-cran-lgtdl
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lgtdl_1.1.5-1.ca2004.1_all.deb
Size: 32892
MD5sum: da3a81af0bcd0a63d9794fe2afc5ec64
SHA1: 1511b3c6c720b067e95034faa580bc6def71ab02
SHA256: 209ec441e41f37f512f2a2dbcd6b09018ab0678c4d648a5521c4f0a4601ef1f6
SHA512: 6e98b56abe237dd48ac1bd46538713c950e5db4519669ed04b9afe770746dc575aacf3cba92e4a5cb64aabcb51247cf9205f45b6a24b0c75532648c9c785e97c
Homepage: https://cran.r-project.org/package=lgtdl
Description: CRAN Package 'lgtdl' (A Set of Methods for Longitudinal Data Objects)
 A very simple implementation of a class for longitudinal data.

Package: r-cran-lhd
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numbers
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-lhd_1.4.1-1.ca2004.1_all.deb
Size: 155416
MD5sum: c66bb009cb5374891da1a5cfc8eda455
SHA1: e6be37f452b6e618aaa07e296b8c12bca51b8744
SHA256: fdd5766129d01600766ff2125fd544d91b2385c28a5a5ccd105ecccffe411126
SHA512: 3455c7909702fad40e2fa7795ed8fb1499509a4dca3818ea260fbd388744d5e29fc32ec33695a357f9287af224425d91a8d33501e7d9f10e70660d9a6108a007
Homepage: https://cran.r-project.org/package=LHD
Description: CRAN Package 'LHD' (Latin Hypercube Designs (LHDs))
 Contains different algorithms and construction methods for optimal Latin
 hypercube designs (LHDs) with flexible sizes. Our package is comprehensive
 since it is capable of generating maximin distance LHDs, maximum projection
 LHDs, and orthogonal and nearly orthogonal LHDs. Detailed comparisons and
 summary of all the algorithms and construction methods in this package can
 be found at Hongzhi Wang, Qian Xiao and Abhyuday Mandal (2021)
 <doi:10.48550/arXiv.2010.09154>. This package is particularly useful in the
 area of Design and Analysis of Experiments (DAE). More specifically, design
 of computer experiments.

Package: r-cran-lhmixr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lhmixr_0.1.0-1.ca2004.1_all.deb
Size: 57464
MD5sum: ec86decb4b61b63f143e1c5a7e77ea3c
SHA1: a1ad8b6dd3d46514bb88a76f82d79d2e930176d4
SHA256: 69930b28ca050dab73ba231ece3957ab1169af9cd05bd33d33e440444ada4096
SHA512: 847ef198ce23a33033384af82eac3347c993ba825be61d05dd1261cacf27ceaff9a2a92ca50af3cfb3856a4af641886a553d068f7d14b66702f2de9c73283c89
Homepage: https://cran.r-project.org/package=lhmixr
Description: CRAN Package 'lhmixr' (Fit Sex-Specific Life History Models with MissingClassifications)
 Fits sex-specific life-history models for fish and other taxa where some of
 the individuals have unknown sex.

Package: r-cran-liayson
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 785
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-phangorn, r-cran-rcolorbrewer, r-cran-ape, r-cran-plyr, r-cran-matlab, r-bioc-biomart, r-cran-distances, r-cran-arules, r-cran-e1071, r-cran-proxy, r-cran-gplots
Suggests: r-cran-mclust, r-cran-fpc, r-cran-nbclust, r-cran-modeest, r-cran-pastecs, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-liayson_1.0.5-1.ca2004.1_all.deb
Size: 762160
MD5sum: d2b69db3555d09e80a422c794edbcf5b
SHA1: 0b00a223662004cf056e017dc0760b41d4d1359a
SHA256: 6a2b67ff8c67119c62edceabef404e0b56efdb4aa164e457b9246d6bf757e881
SHA512: 59859acc1c074c9a50bf27557b349073242b466ccc48a04cdbc7ba301b93bf7ccaaa3591a11bf8b7ab01b8ea3041176aea7a82142747a1a13385026928a2c85c
Homepage: https://cran.r-project.org/package=liayson
Description: CRAN Package 'liayson' (Linking Singe-Cell Transcriptomes Atween ContemporarySubpopulation Genomes)
 Given an RNA-seq derived cell-by-gene matrix and an DNA-seq derived copy
 number segmentation, LIAYSON predicts the number of clones present in a
 tumor, their size, the copy number profile of each clone and the clone
 membership of each single cell (Andor, N. & Lau, B., et al. (2018)
 <doi:10.1101/445932>).

Package: r-cran-libbib
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-curl, r-cran-pbapply, r-cran-stringr, r-cran-xml2
Suggests: r-cran-assertr, r-cran-testthat, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-libbib_1.6.4-1.ca2004.1_all.deb
Size: 290916
MD5sum: 5f5d3c885ec78fd39658e1a6521e76ed
SHA1: a3624378a6ccfe9df1112454c421ed7b8a7c88ae
SHA256: d9fc27aece24f2a4b909fbfc3dcf9865c66b21952c4caa2b0dc09eb1c2fab919
SHA512: 76bbaa9adf91d6ca4634aff17984e09f6aaf476ed4d349b6ad2e04ef20395ae78a4d7c459713c6fe3d276e6821f46ca7f3d4223292147d8d56f49917ce43f7fc
Homepage: https://cran.r-project.org/package=libbib
Description: CRAN Package 'libbib' (Various Utilities for Library Science/Assessment and Cataloging)
 Provides functions for validating and normalizing bibliographic codes such
 as ISBN, ISSN, and LCCN. Also includes functions to communicate with the
 WorldCat API, translate Call numbers (Library of Congress and Dewey Decimal)
 to their subject classifications or subclassifications, and provides various
 loadable data files such call number / subject crosswalks and code tables.

Package: r-cran-librarian
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biocmanager, r-cran-remotes
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-librarian_1.8.1-1.ca2004.1_all.deb
Size: 91608
MD5sum: c9af2391c768880192147477e57e3ac8
SHA1: 891960535b37f92e77d07a755ebed006e0f727ec
SHA256: 2c7fc509305fa5a28a25d350aa6fec0fe755a5c890a7e576f9bfa525bd8fcaea
SHA512: c40f84df2e645d4403cbfdad48a9c1c52fca59424b4a260da46621e505758028a762fe2907cb426be2cf05008768728e132adffa4771d120df22a713bc715328
Homepage: https://cran.r-project.org/package=librarian
Description: CRAN Package 'librarian' (Install, Update, Load Packages from CRAN, 'GitHub', and'Bioconductor' in One Step)
 Automatically install, update, and load 'CRAN', 'GitHub', and 'Bioconductor'
 packages in a single function call. By accepting bare unquoted names for
 packages, it's easy to add or remove packages from the list.

Package: r-cran-librarysnapshot
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-librarysnapshot_0.1.2-1.ca2004.1_all.deb
Size: 16808
MD5sum: 3031ea1ac1374349935df0d4923e4284
SHA1: 74263aff6b471ae9d0c4cc20274b2e918347b235
SHA256: beabd90f8c625fd58fd09ea4e6bf504c93ccb1732c15ec608c2713b370c1f593
SHA512: adcee41926382bb97fd12253ca3d36f5f3e288a66894e2c2db87c2c2a1a48144c3ab8b874662ac5ccf21bbb90845a6ed84504fef98602c50f373f3b82d5839b8
Homepage: https://cran.r-project.org/package=librarysnapshot
Description: CRAN Package 'librarysnapshot' (Library Snapshot for Packages and Dependencies in Use by CurrentSession)
 Generate a local library copy with relevant packages.  All packages
 currently found within the search path - except base packages - will be
 copied to the directory provided and can be used later on with the
 .libPaths() function.

Package: r-cran-lic
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lic_0.0.2-1.ca2004.1_all.deb
Size: 271708
MD5sum: b986dd1727072bb75010cffeacaca56a
SHA1: 1601ac6e7f58d521885348c9a5337eb60f07945c
SHA256: 04126d48d7405295d551ebb3e71c035a81e697433d49019b8f28de2f04cfbc01
SHA512: 9d245f965b03222156b7a364f27fa52147b7733af083086f5b7eac33ec923cbcf8a364ca5f8327e287384ed046e0c1caccf17eeda840ec8f790fb287662783da
Homepage: https://cran.r-project.org/package=LIC
Description: CRAN Package 'LIC' (The LIC Criterion for Optimal Subset Selection)
 The LIC criterion is to determine the most informative subsets so that the
 subset can retain most of the information contained in the complete data.
 The philosophy of the package is described in Guo G. (2022)
 <doi:10.1080/02664763.2022.2053949>.

Package: r-cran-licoread
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1083
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-licoread_0.2.0-1.ca2004.1_all.deb
Size: 306812
MD5sum: bfffc84b9b618177e7d3cff0af5cbe5e
SHA1: 10bbd31f02a5e08271d21fcb1939f8d9c4883c6d
SHA256: 36bd2ac737c3c78fea62848446af9c26ef63bc1e702735987516024464e9feb8
SHA512: 4ae810759ba98804c163f922a9230daa425d672d3b55a40e64eb16a6f63938b70430249b6ead8d13dfd508c606bfd9f9deaba04189544ca5987814dd41e8612a
Homepage: https://cran.r-project.org/package=licoread
Description: CRAN Package 'licoread' (Reads Raw Files from Li-COR Gas Analyzers)
 Reads raw files from Li-COR gas analyzers and produces a dataframe that can
 directly be used with 'fluxible'
 <https://cran.r-project.org/package=fluxible>.

Package: r-cran-licors
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-mvtnorm, r-cran-zoo, r-cran-fnn, r-cran-fields, r-cran-locfit, r-cran-matrix
Suggests: r-cran-huge, r-cran-rann, r-cran-yaimpute, r-cran-itertools
Filename: pool/dists/focal/main/r-cran-licors_0.2.0-1.ca2004.1_all.deb
Size: 396196
MD5sum: 1416e6ce9651cb602893a814ee25e76a
SHA1: 5714130fded7962b1c42c91de629643d16ae4d77
SHA256: c5f249dc037d323695ef964c42b87a09d78db725c2c423c1eab4a249594c99cf
SHA512: c2362ab9e38cf95ea15b483964e969eb710f73381c2ad544046f204c08d718e934101b0ae8504b734bddcc7d3f4dfa06e1fc18b39749b75072668f71b250a2bf
Homepage: https://cran.r-project.org/package=LICORS
Description: CRAN Package 'LICORS' (Light Cone Reconstruction of States - Predictive StateEstimation From Spatio-Temporal Data)
 Estimates predictive states from spatio-temporal data and consequently can
 provide provably optimal forecasts.  Currently this implementation supports
 an N-dimensional spatial grid observed over equally spaced time intervals.
 E.g. a video is a 2D spatial systems observed over time. This package
 implements mixed LICORS, has plotting tools (for (1+1)D and (2+1)D systems),
 and methods for optimal forecasting.  Due to memory limitations it is
 recommend to only analyze (1+1)D systems.

Package: r-cran-lidartree
Architecture: all
Version: 4.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1040
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-imager, r-cran-leaps, r-cran-gvlma, r-cran-car, r-cran-reldist, r-cran-lidr
Suggests: r-cran-stars
Filename: pool/dists/focal/main/r-cran-lidartree_4.0.8-1.ca2004.1_all.deb
Size: 1004084
MD5sum: da3da26e2520c72df7502c34033b872d
SHA1: a300647e4cc89e04cb81a000b2f92cf4b453dbf5
SHA256: 7cf4f0b44afcd5abf5bcc2cbb4603b2adda70682dcad06b271604b2b6b0ad56b
SHA512: c318708000ca04df647dd3b996526dc9ac26b4f359613556337e7d8660ccee81ff01e5af49adb65bba0d6753c66e91c0d8e4aeb57962c2df9293c909539fda9b
Homepage: https://cran.r-project.org/package=lidaRtRee
Description: CRAN Package 'lidaRtRee' (Forest Analysis with Airborne Laser Scanning (LiDAR) Data)
 Provides functions for forest objects detection, structure metrics
 computation, model calibration and mapping with airborne laser scanning:
 co-registration of field plots (Monnet and Mermin (2014)
 <doi:10.3390/f5092307>); tree detection (method 1 in Eysn et al. (2015)
 <doi:10.3390/f6051721>) and segmentation; forest parameters estimation with
 the area-based approach: model calibration with ground reference, and maps
 export (Aussenac et al. (2023) <doi:10.12688/openreseurope.15373.2>);
 extraction of both physical (gaps, edges, trees) and statistical features
 useful for e.g. habitat suitability modeling (Glad et al. (2020)
 <doi:10.1002/rse2.117>) and forest maturity mapping (Fuhr et al. (2022)
 <doi:10.1002/rse2.274>).

Package: r-cran-lievens
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2460
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-lievens_0.0.1-1.ca2004.1_all.deb
Size: 1558964
MD5sum: e18067c834a09abe0c78e9f81eb525f1
SHA1: 8d12ce14653a2cfe51b94ac4967f369bf3b13cdc
SHA256: ab89a3fe2a19b589d426156ca7124291c9b521bd596df3c9f4d949ab3bab6c3f
SHA512: bec23961e493d0576d2f439c68f9f9ec6b4a32c03e89823a8ca75d0b6095bfa671461c0d4de57e9747a23c4d8bc9893b06c2be816be691c470d7e0b75d534861
Homepage: https://cran.r-project.org/package=lievens
Description: CRAN Package 'lievens' (Real-Time PCR Data Sets by Lievens et al. (2012))
 Real-time quantitative polymerase chain reaction (qPCR) data sets by Lievens
 et al. (2012) <doi:10.1093/nar/gkr775>. Provides one single tabular tidy
 data set in long format, encompassing three dilution series, targeted
 against the soybean Lectin endogene. Each dilution series was assayed in one
 of the following PCR-efficiency-modifying conditions: no PCR inhibition,
 inhibition by isopropanol and inhibition by tannic acid. The inhibitors were
 co-diluted along with the dilution series.  The co-dilution series consists
 of a five-point, five-fold serial dilution.  For each concentration there
 are 18 replicates. Each amplification curve is 60 cycles long. Original raw
 data file is available at the Supplementary Data section at Nucleic Acids
 Research Online <doi:10.1093/nar/gkr775>.

Package: r-cran-lifecourse
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-traminer
Filename: pool/dists/focal/main/r-cran-lifecourse_2.0-1.ca2004.1_all.deb
Size: 205528
MD5sum: 0cae28a9f8ae53fa0b3882121de69130
SHA1: 640a0c9682ef41f6cd9cb5ab7555cddd0e5bd5ba
SHA256: 24c9cad85130dce2b554bec22ec60174ae75fd14959e6db39c30bcae3e074691
SHA512: 25a64dc5a52a4c726c013ce736a94aed3705d586922dcf6bb3185c393585a9fe170e8ff3c589bb936600c6bf3c1ac3a3ac6370756ede8a38de1ff02cf78bd25d
Homepage: https://cran.r-project.org/package=lifecourse
Description: CRAN Package 'lifecourse' (Quantification of Lifecourse Fluidity)
 Provides in built datasets and three functions.  These functions are
 mobility_index, nonStanTest and linkedLives.  The mobility_index function
 facilitates the calculation of lifecourse fluidity, whilst the nonStanTest
 and the linkedLives functions allow the user to determine the probability
 that the observed sequence data was due to chance.  The linkedLives function
 acknowledges the fact that some individuals may have identical sequences.
 The datasets available provide sequence data on marital status(maritalData)
 and mobility (mydata) for a selected group of individuals from the British
 Household Panel Study (BHPS).  In addition, personal and house ID's for 100
 individuals are provided in a third dataset (myHouseID) from the BHPS.

Package: r-cran-lifecycle
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang
Suggests: r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidyverse, r-cran-vctrs, r-cran-withr
Filename: pool/dists/focal/main/r-cran-lifecycle_1.0.4-1.ca2004.1_all.deb
Size: 112020
MD5sum: e1441cd9af99d838fce87087f6d3fc2c
SHA1: 4de0e36baac1ee5244f0fa2a6d2bf461187aa575
SHA256: cb7a05d4270804ea0c330092b948e3445be2715fdb154e20137aacfc4ca1c53a
SHA512: e93680f60f08370335515a7198bb053fa2f0cae92a78bd465c51ee0dcc097a0a898049ae95a2643ae8b0b9dd72153a796fa99a96b85673ea1c5bd11aaf6f781a
Homepage: https://cran.r-project.org/package=lifecycle
Description: CRAN Package 'lifecycle' (Manage the Life Cycle of your Package Functions)
 Manage the life cycle of your exported functions with shared conventions,
 documentation badges, and user-friendly deprecation warnings.

Package: r-cran-lifehist
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-optimx, r-cran-bb
Filename: pool/dists/focal/main/r-cran-lifehist_1.0-1-1.ca2004.1_all.deb
Size: 262352
MD5sum: 673829d5d297d8a4f8421befd95924cf
SHA1: 564297d501e06622b485ead3f9f9254260ef43fc
SHA256: d0a8a51d29ac32eb7b10a0262e5ca0d8c2d98c2b5cfcf1f240807b00b68104cf
SHA512: e9a70988b4a922ec91c46fdec1566a7789ac71b3fa58875e022ba86b881953ea42eadd5c3778d187bec1e85a84bee6fe80e2aa2cda84cf24da0f93d02ff9c530
Homepage: https://cran.r-project.org/package=LifeHist
Description: CRAN Package 'LifeHist' (Life History Models of Individuals)
 Likelihood-based estimation of individual growth and sexual maturity models
 for organisms, usually fish and invertebrates. It includes methods for data
 organization, plotting standard exploratory and analytical plots,
 predictions.

Package: r-cran-lifeinsurancecontracts
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 36
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lifeinsurer
Filename: pool/dists/focal/main/r-cran-lifeinsurancecontracts_0.0.6-1.ca2004.1_all.deb
Size: 8160
MD5sum: 22589d13fb7626dad617699fb395b5b9
SHA1: 75e9c3d84721a71401b3704b2c26e7c0417010ea
SHA256: 1319b3f657f93932962931edc3823b56d47d598dfd4c4f3c29b91dffed4834b1
SHA512: b67f0839b1fbd57a63d5a08af006872ecd1f9579a1765e67996296ad9d82bb7bdff87520ddb6f39edd3b234232bf35c8800ecf17fc526d7c123e83bf5d997ca1
Homepage: https://cran.r-project.org/package=LifeInsuranceContracts
Description: CRAN Package 'LifeInsuranceContracts' (Framework for Traditional Life Insurance Contracts)
 Use of this package is deprecated.  It has been renamed to 'LifeInsureR'.

Package: r-cran-lifeinsurer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1528
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-mortalitytables, r-cran-objectproperties, r-cran-lubridate, r-cran-openxlsx, r-cran-dplyr, r-cran-scales, r-cran-abind, r-cran-stringr, r-cran-rlang, r-cran-rmarkdown, r-cran-kableextra, r-cran-pander, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-tibble, r-cran-testthat, r-cran-fs, r-cran-here, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-lifeinsurer_1.0.1-1.ca2004.1_all.deb
Size: 786756
MD5sum: 2ecc10cac1f362c66e5f79ac010820c4
SHA1: b9f4ad3e7cd5467ab57d4b68b7d650c8bde8c34e
SHA256: 1a95e72b13c445fd78b7ada9d06bcd44090eca5a00e850740eccbbced8f04cf6
SHA512: f2d07100f546ca0f6e68cd42f3b988117ef35b1651041b99717639e035081717f364eef08b61f1fcee31bb87b7f3f9e45fb60d67355a85d8298f7a599f1f4bca
Homepage: https://cran.r-project.org/package=LifeInsureR
Description: CRAN Package 'LifeInsureR' (Modelling Traditional Life Insurance Contracts)
 R6 classes to model traditional life insurance contracts like annuities,
 whole life insurances or endowments. Such life insurance contracts provide a
 guaranteed interest and are not directly linked to the performance of a
 particular investment vehicle, but they typically provide (discretionary)
 profit participation. This package provides a framework to model such
 contracts in a very generic (cash-flow-based) way and includes modelling
 profit participation schemes, dynamic increases or more general contract
 layers, as well as contract changes (like sum increases or premium waivers).
 All relevant quantities like premium decomposition, reserves and benefits
 over the whole contract period are calculated and potentially exported to
 'Excel'. Mortality rates are given using the 'MortalityTables' package.

Package: r-cran-lifelogr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-dplyr, r-cran-lubridate, r-cran-modelr, r-cran-stringr, r-cran-tidyr, r-cran-lazyeval, r-cran-r6, r-cran-fitbitscraper, r-cran-tibble, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lifelogr_0.1.0-1.ca2004.1_all.deb
Size: 1012108
MD5sum: 367965b06b1b74a8e1dcbec4b0202b40
SHA1: 03602fdba6925dc9c2ef736a7c95961b10d30bfc
SHA256: 8db30e083bb4fd5818c2d2d4b2b22d1a443cb9463525c6b09f0aa0f10711d34f
SHA512: dd24aebcdc279816cdf1a838c9f3d4e71979b6ddbf302dd004e1404b656cf4dcb5c6f797c41c63bb69089a0b0b7664007963572a234de54b45a47ae8a520e4dc
Homepage: https://cran.r-project.org/package=lifelogr
Description: CRAN Package 'lifelogr' (Life Logging)
 Provides a framework for combining self-data (exercise, sleep, etc.) from
 multiple sources (fitbit, Apple Health), creating visualizations, and
 experimenting on onself.

Package: r-cran-lifemapr
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-leaflet, r-cran-shiny, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr, r-cran-leaflet.minicharts, r-cran-htmltools, r-cran-rlang, r-cran-rcurl, r-cran-fastmatch, r-cran-arrow
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-lifemapr_1.1.5-1.ca2004.1_all.deb
Size: 2558620
MD5sum: a7fff910b04cdf365a7facb249e2e014
SHA1: 9363f25bc652ddbab95018b93fe3c3a75cb8b860
SHA256: 98a47bf970c81914d1021b7b5cf6585b7ab74dcde486de130ebfbd307c53e550
SHA512: ea2623a4cb25d53731f365ae9fb2a5a0e038f178fa6570d706e5367f887aa5ed054960c58811900751d73463a365a9736808540977f62d3af324a61f7b5cfe73
Homepage: https://cran.r-project.org/package=LifemapR
Description: CRAN Package 'LifemapR' (Data Visualisation on 'Lifemap' Tree)
 Allow to visualise data on the NCBI phylogenetic tree as presented in
 Lifemap <https://lifemap.cnrs.fr/>. It takes as input a dataframe with at
 least a "taxid" column containing NCBI format TaxIds and allows to draw
 multiple layers with different visualisation tools.

Package: r-cran-lifepack
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lifepack_0.0.8-1.ca2004.1_all.deb
Size: 23928
MD5sum: 94bab440bf33a2f3d885c04222fca8a4
SHA1: 68b0dd9a493bb7189fd2783e7bc76d6ae9199b75
SHA256: 29c3c38aedf97ee36483622b53f895774fe1dc71d5704441470b0740c7989c71
SHA512: 1c33c825f68ee420b5ab0514de1b54be618d72661e98d10e1c16314bf6fbe3f6b2f547031f0331c21755fae0da4a8b591717b5794dd624eb48552622afe6cbc9
Homepage: https://cran.r-project.org/package=lifepack
Description: CRAN Package 'lifepack' (Insurance Reserve Calculations)
 Calculates insurance reserves and equivalence premiums using advanced
 numerical methods, including the Runge-Kutta algorithm and product integrals
 for transition probabilities. This package is useful for actuarial analyses
 and life insurance modeling, facilitating accurate financial projections.

Package: r-cran-lifer
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-maptiles, r-cran-readr, r-cran-rmarkdown, r-cran-stringr, r-cran-terra, r-cran-tidyterra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lifer_1.0.3-1.ca2004.1_all.deb
Size: 103868
MD5sum: ec33ca71bcfbdd76a1b21d831ecb6ddc
SHA1: 0c1a41bb29782a0e43488c73c6ab8746e01d4b22
SHA256: 4917082e85b87d76076544376f66cf31ccd5d9e7e48d511b6a0ecd485583b30f
SHA512: 9e86f9e89b39c93ac7154a0c657f79c1b7b6f6bd4ab49a64cd3156affb182ad8c4b5f596fa94fd07d839c5a6cb52481cac5ce44af83ef4c2035fa9b208471227
Homepage: https://cran.r-project.org/package=lifeR
Description: CRAN Package 'lifeR' (Identify Sites for Your Bird List)
 A suite of tools to use the 'eBird' database (<https://ebird.org/home/>) and
 APIs to compare users' species lists to recent observations and create a
 report of the top sites to visit to see new species.

Package: r-cran-lifertable
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-lifertable_0.1.0-1.ca2004.1_all.deb
Size: 79004
MD5sum: 24ab0bb15eecff8f53061ae4864816a1
SHA1: c914c87836606336fc289ab01afc05e25c832443
SHA256: e07040532c8e24e222744541b9cb53f3e2d6ffad6f967f25a0bb2dd87d789c72
SHA512: 41c8c501621bf628d90663a786186e74d468ad81b499282f83d9ae1a56a70eba3a47d11465cfb8799eee2a11e954e31e45729e5b5388ee9d08144901ae470277
Homepage: https://cran.r-project.org/package=Lifertable
Description: CRAN Package 'Lifertable' (Life and Fertility Tables Specially for Insects)
 Life and Fertility Tables are appropriate to study the dynamics of
 arthropods populations. This package provides utilities for constructing
 Life Tables and Fertility Tables, related demographic parameters, and some
 simple graphs of interest. It also offers functions to transform the
 obtained data into a known format for better manipulation. This document is
 based on the article by Maia, Luiz, and Campanhola "Statistical Inference on
 Associated Fertility Life Table Parameters Using Jackknife Technique
 Computational Aspects" (April 2000, Journal of Economic Entomology, Volume
 93, Issue 2) <doi:10.1603/0022-0493-93.2.511>.

Package: r-cran-lifetables
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-lifetables_1.0-1.ca2004.1_all.deb
Size: 803748
MD5sum: 6aecefab05dbb411639d1c6867387fa8
SHA1: f9f5af14fdbc89d45cc8edb6f4935ee3917fee62
SHA256: 992cd06d0acba0741374ed5097982ef92f2d25f112f64aa00cfd8089c5a7466e
SHA512: d3f04f3d4389b0b3314c6c2f69f80b9eaf61573a9c6a16ddc4b786d789aea468351330ae0d0b427730e898131cbca51f62254c5cda39fd4e57923ad297e48cdb
Homepage: https://cran.r-project.org/package=LifeTables
Description: CRAN Package 'LifeTables' (Two-Parameter HMD Model Life Table System)
 Functions supplied in this package will implement discriminant analysis to
 select an appropriate life table family, select an appropriate alpha level
 based on a desired life expectancy at birth, produce a model mortality
 pattern based on family and level as well as plot the results.

Package: r-cran-lift
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lift_0.0.2-1.ca2004.1_all.deb
Size: 24384
MD5sum: e89f9898f3d32eadbffaaa20c5f3e649
SHA1: e74150122cff634421f2487fd6cf76c7ed5a36d5
SHA256: 22ac11be4123c3b7b2659530d6742f2d14c62288746e7b203d0bc3b5ff74cf47
SHA512: 83e2ad7d347f6b475e39ea54839e729309b07a028e6c4af129a90f64e0286975c857fc3cb9d29793e41e08b580596772ef7a023f84a448c0ec141fbdb74dc68c
Homepage: https://cran.r-project.org/package=lift
Description: CRAN Package 'lift' (Compute the Top Decile Lift and Plot the Lift Curve)
 Compute the top decile lift and plot the lift curve. Cumulative lift curves
 are also supported.

Package: r-cran-liftlrd
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adlift, r-cran-nlt
Suggests: r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-liftlrd_1.0-9-1.ca2004.1_all.deb
Size: 41416
MD5sum: ede9a9f519d321ceed42220cddefe75a
SHA1: ef89036601cb81c7ade3592a62ad2c43e951e28b
SHA256: 13a86638d1f49ffb10beb034c58672e539d8097d346c192729954893576b2ee5
SHA512: a05ee09d982d6ad28e1def562b2c38595983cd2f6cbd6a8db1d38b5d28658376159451a64045e2c9cbb982c8a597b8cfefe3f9fa3eee271bfc16596401e2a54d
Homepage: https://cran.r-project.org/package=liftLRD
Description: CRAN Package 'liftLRD' (Wavelet Lifting Estimators of the Hurst Exponent for Regularlyand Irregularly Sampled Time Series)
 Implementations of Hurst exponent estimators based on the relationship
 between wavelet lifting scales and wavelet energy of Knight et al (2017)
 <doi:10.1007/s11222-016-9698-2>.

Package: r-cran-liftr
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-liftr_0.9.2-1.ca2004.1_all.deb
Size: 443692
MD5sum: 93285301aad2c454d02164cc20c3d0c7
SHA1: 717011da8cf0f4af8da86a76fcfecb77a9aaf78c
SHA256: c7fbbaca1a0f58c152c6fc90554e888ea5a0ce7ec5f2c01fb8fab7440daee1c3
SHA512: 47337dc272e3852e6c789c43557fdd4d3597e980bd6768daa2bfdd17334cd39504265cb5d69060fcad6021ba86b8205d3a08506ae59e5e46c7fd024fd478af26
Homepage: https://cran.r-project.org/package=liftr
Description: CRAN Package 'liftr' (Containerize R Markdown Documents for Continuous Reproducibility)
 Persistent reproducible reporting by containerization of R Markdown
 documents.

Package: r-cran-lifttest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lifttest_0.2.0-1.ca2004.1_all.deb
Size: 35444
MD5sum: cc13f5c7d6be7997c2b5ba4c549773d3
SHA1: 593b9e1bc89372c3834e06f31820dbae15ffdd8e
SHA256: 22291c1b29ba123ed11ab4637f9b0d0f7fe5555f96d6de8260fa2290c00c48a6
SHA512: ae0abddc670c623c16aff1026daed444f4ac5f3313f9cbda71492267848faa1b87cd0a7cb134494c5f897e3212c37c71ce7dddfe48e3de4887a8b4557947fb5b
Homepage: https://cran.r-project.org/package=LiftTest
Description: CRAN Package 'LiftTest' (A Bootstrap Proportion Test for Brand Lift Testing)
 A bootstrap proportion test for Brand Lift Testing to quantify the
 effectiveness of online advertising. Methods of the bootstrap proportion
 test are presented in Liu, Yu, Mao, Wu, Dyer (2023)
 <doi:10.1145/3583780.3615021>.

Package: r-cran-lifx
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-assertthat, r-cran-jsonlite, r-cran-crayon
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lifx_0.2.0-1.ca2004.1_all.deb
Size: 72560
MD5sum: a7145321b35e9a6eba435d356a3533be
SHA1: 09f92ef75ee722575bb7c4d519f471f5a7eafdd5
SHA256: 1c8dd2c2540f87a9d9431169d8f3e89a8a1659848a88cb9435ca3a542fd84a70
SHA512: 73eca029970ae5fc72f07c58a51591159ba636de76accf9815bb88b4b8382977302800d46662b966cd2bba34b123aa8fdd5516509896cedde95ae8787173aac1
Homepage: https://cran.r-project.org/package=lifx
Description: CRAN Package 'lifx' (Control 'LIFX' Smart Light Bulbs)
 Allows you to read and change the state of 'LIFX' smart light bulbs via the
 'LIFX' developer api <https://api.developer.lifx.com/>.  Covers most 'LIFX'
 api endpoints, including changing light color and brightness, selecting
 lights by id, group or location as well as activating effects.

Package: r-cran-lightlogr
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4691
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggsci, r-cran-ggtext, r-cran-hms, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-plotly, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-slider, r-cran-stringr, r-cran-suntools, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-flextable, r-cran-gghighlight, r-cran-gt, r-cran-gtsummary, r-cran-knitr, r-cran-patchwork, r-cran-pkgload, r-cran-rmarkdown, r-cran-rsconnect, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-lightlogr_0.9.2-1.ca2004.1_all.deb
Size: 4218176
MD5sum: d64b63e78e899c6e27c08be3c06633e6
SHA1: e3b0d9dfe913344f465ffc7fd9f35232c5e173a9
SHA256: 27d0bc05453d66059baa020c8a18562a0c359be2295c1f4812b8dc9eecf4b1f1
SHA512: f57af74ee2542b6606b9802b03ea32b443873242731a142b14a35f17e47b670822fcd16e6cd99a3f36e3964ffc0df6b9079d8273e8be253592f866305f3255fe
Homepage: https://cran.r-project.org/package=LightLogR
Description: CRAN Package 'LightLogR' (Process Data from Wearable Light Loggers and Optical RadiationDosimeters)
 Import, processing, validation, and visualization of personal light exposure
 measurement data from wearable devices. The package implements features such
 as the import of data and metadata files, conversion of common file formats,
 validation of light logging data, verification of crucial metadata,
 calculation of common parameters, and semi-automated analysis and
 visualization.

Package: r-cran-lightningr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-rcurl, r-cran-r6, r-cran-httr
Filename: pool/dists/focal/main/r-cran-lightningr_1.0.2-1.ca2004.1_all.deb
Size: 64400
MD5sum: c895327b2a769f197960cee77110fc37
SHA1: bcc5f983b818e31a24487c48122c7ad75257e0b5
SHA256: 2d29fefa0c53162700f7d11419d7727077f095077540e74da09db8d418c36d79
SHA512: 42d63ce6f1092a62d2ea23825c07aca44061d07f3546904eb0ae6bea9b1d70d3e92095b6b6f5901e523881095356e20291c92461dd4d16837872558dac1144a4
Homepage: https://cran.r-project.org/package=LightningR
Description: CRAN Package 'LightningR' (Tools for Communication with Lightning-Viz Server)
 The purpose of this package is to enable usage of lightningviz server to be
 accessible from R. The server itself can be found at
 http://lightning-viz.org/ and is required to work with this package. Package
 by itself cannot and will not create any visualizations.

Package: r-cran-lightparser
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-rlang, r-cran-tibble, r-cran-yaml
Suggests: r-cran-callr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lightparser_0.1.0-1.ca2004.1_all.deb
Size: 32416
MD5sum: c1ad6a14da668867fc26283797d1645b
SHA1: 70dfea59e331dc335e78a1b81e451f2d1f88368e
SHA256: d4fef738c7ddf6df23d89e4cb30069b4cb8cfc0970174ac6c1102d25ad91cfd6
SHA512: 49b948cbd7211f2925721cd8096591943863329d41037ceffb298c45a44baa6bbd0d39999149e3524b0cb4d8f1f65de412f16798a7ca58eaf2c088ecf8fc8409
Homepage: https://cran.r-project.org/package=lightparser
Description: CRAN Package 'lightparser' (From 'Rmarkdown' and 'Quarto' Files to Tibble and Back)
 Split your 'rmarkdown' or 'quarto' files by sections into a tibble: titles,
 text, chunks. Rebuild the file from the tibble.

Package: r-cran-lightr
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3614
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future.apply, r-cran-progressr, r-cran-xml2
Suggests: r-cran-digest, r-cran-future, r-cran-knitr, r-cran-lintr, r-cran-pavo, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-lightr_1.8.0-1.ca2004.1_all.deb
Size: 1453224
MD5sum: 61035d233155911bdc7fc37357a5d8f0
SHA1: c7f27b8a5d754995bf7ce4043d196144011626ce
SHA256: 6085ff468b9b8d602bde5ab51c724b1a2152152e73e5b25e58d2a2546d4de047
SHA512: 944f6f92d0d7e9b45a404643ea355a130bbd24427858a1fbcd285f8c6f792ef98bac1eca2ce388da4380b4114f0f2a306c724d91d8061db6839ddef065226541
Homepage: https://cran.r-project.org/package=lightr
Description: CRAN Package 'lightr' (Read Spectrometric Data and Metadata)
 Parse various reflectance/transmittance/absorbance spectra file formats to
 extract spectral data and metadata, as described in Gruson, White & Maia
 (2019) <doi:10.21105/joss.01857>. Among other formats, it can import files
 from 'Avantes' <https://www.avantes.com/>, 'CRAIC'
 <https://www.microspectra.com/>, and 'OceanOptics'/'OceanInsight'
 <https://www.oceanoptics.com/> brands.

Package: r-cran-lightsout
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lightsout_0.3.2-1.ca2004.1_all.deb
Size: 229308
MD5sum: 3b26e7481d4508ad071a31db5a19d9c7
SHA1: 17e14bdd84de34e6a5465b9a0feadc29fc28ee65
SHA256: ee431873ac9e72e433f5b4160f2be04b218b5f1863f8569cc3767cacaa0dbb29
SHA512: 3d7308bc53d28533b0aa9fca8146580773a538f555c1778aedb15e6a0ebb9d9ac6a750170cae84978314a045daf9fe61bc6b6c58bec7af80aa6b1104dbbbd569
Homepage: https://cran.r-project.org/package=lightsout
Description: CRAN Package 'lightsout' (Implementation of the 'Lights Out' Puzzle Game)
 Lights Out is a puzzle game consisting of a grid of lights that are either
 on or off. Pressing any light will toggle it and its adjacent lights. The
 goal of the game is to switch all the lights off. This package provides an
 interface to play the game on different board sizes, both through the
 command line or with a visual application. Puzzles can also be solved using
 the automatic solver included. View a demo online at
 <https://daattali.com/shiny/lightsout/>.

Package: r-cran-lihkgr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-rselenium, r-cran-raster, r-cran-magrittr, r-cran-rvest, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-lihkgr_0.1.0-1.ca2004.1_all.deb
Size: 70396
MD5sum: 7adbc31e46f34ef5e13e844a2c702c1b
SHA1: 18d2782025da57ad694c3eebea6be7297af394a0
SHA256: e1f020dc9fceebe93b579f3bf9b37af8f13f4efde825bf5117d2098635533d09
SHA512: 64d4c5e726951ad45ad0a12716f3b169acbc1822a3c1c26ecb8e76169d89126b10e9e8351a4c606a7852d3594b88ea0fed053aeed95c17473fb187b2975bdbbf
Homepage: https://cran.r-project.org/package=LIHKGr
Description: CRAN Package 'LIHKGr' (Scrape Text Data from LIHKG)
 The goal of 'LIHKGr' is to scrape text data from LIHKG
 (<https://lihkg.com/>), the Hong Kong version of Reddit. LIHKG is currently
 protected by Google's 'reCAPTCHA', this package currently builds on
 'RSelenium' and adopts a semi-manual approach to bypass it.

Package: r-cran-likelihood
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-likelihood_1.9-1.ca2004.1_all.deb
Size: 135324
MD5sum: aae6c07410da9ddecbcb9e6135bfeea1
SHA1: 1473dbf4a103210e40656da580d3b7b0a9b14036
SHA256: 4010a9a1281841d8333deecf3e65b2b21a0046921dadf2185615b8e1f57cbc8f
SHA512: b95fef40090fa1bc667cae1a53b03f9957a9f164145db97a87e8dc589ebfb6b5d5c774a1cf31caebfe4710921ce9620d118131b0043ea7b6dc149f8160e7835d
Homepage: https://cran.r-project.org/package=likelihood
Description: CRAN Package 'likelihood' (Methods for Maximum Likelihood Estimation)
 Tools for maximum likelihood estimation of parameters of scientific models.
 Based on Goffe et al (1994) <doi:10.1016/0304-4076(94)90038-8>.

Package: r-cran-likelihoodasy
Architecture: all
Version: 0.51-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cond, r-cran-digest, r-cran-nleqslv, r-cran-rsolnp, r-cran-alabama, r-cran-pracma
Suggests: r-cran-mass, r-cran-lme4, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-likelihoodasy_0.51-1.ca2004.1_all.deb
Size: 312864
MD5sum: 96230f7b8ae9538f26b3bc3c09b4de44
SHA1: 1bde48fe08c95f08b0d2edae01e4738c47842f84
SHA256: 83ff3dd46135a7c84ddad054e68d881306587fe2f6eb2690721af7bb626370eb
SHA512: 458a54dce6e255ec64e88a8580a1929dd144b4d8cde52bef4dd21a64cdf85b6752870fd1a84fbe985ca33455be33f2fa9a290c4b83ccf2ee9ea2ad961a5a4831
Homepage: https://cran.r-project.org/package=likelihoodAsy
Description: CRAN Package 'likelihoodAsy' (Functions for Likelihood Asymptotics)
 Functions for computing the r and r* statistics for inference on an
 arbitrary scalar function of model parameters, plus some code for the
 (modified) profile likelihood.

Package: r-cran-likelihoodexplore
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lazyeval, r-cran-plyr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-likelihoodexplore_0.1.0-1.ca2004.1_all.deb
Size: 88944
MD5sum: 7650c124dd1bedab4cdd3a4406d1a7cc
SHA1: c52131adde8834f3d7a6c0105a64781d1ddf9d2d
SHA256: 013bfc724b21a472e0cc4deb69ce78fb8de7fbc9782fa00a216e94ef76b8fd33
SHA512: 69c4c330c055299ca73d2af899a892997c90035170fab29bbbe26ed3b2debd04a3212844ec85225562e57de9652f3a81009ae8c2187ea53f3799075efbffc52b
Homepage: https://cran.r-project.org/package=likelihoodExplore
Description: CRAN Package 'likelihoodExplore' (Likelihood Exploration)
 Provides likelihood functions as defined by Fisher (1922)
 <doi:10.1098/rsta.1922.0009> and a function that creates likelihood
 functions from density functions. The functions are meant to aid in
 education of likelihood based methods.

Package: r-cran-likelihoodr
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-likelihoodr_1.1.5-1.ca2004.1_all.deb
Size: 147352
MD5sum: 92fa385f6521563c034c6d903810183a
SHA1: 6bab0e1d98c0184cd301f7c312c5d79a0bb75ed0
SHA256: 00eb001bfd9252a0cb87a1776ee96edf7be6508a3f56c80e8fe281b398b47682
SHA512: 6980fa1f1d47e2056b43351be77c910035aea68aa5a0ab4ea4b382695a84881cdb40df627d624dbf0fdfa8e2a118493d86fa890861090577e976abdc7ff6c8f9
Homepage: https://cran.r-project.org/package=likelihoodR
Description: CRAN Package 'likelihoodR' (Likelihood Analyses for Common Statistical Tests)
 A collection of functions that calculate the log likelihood (support) for a
 range of statistical tests. Where possible the likelihood function and
 likelihood interval for the observed data are displayed. The evidential
 approach used here is based on the book "Likelihood" by A.W.F.  Edwards
 (1992, ISBN-13 : 978-0801844430), "Statistical Evidence" by R.  Royall
 (1997, ISBN-13 : 978-0412044113), S.N. Goodman & R. Royall (2011)
 <doi:10.2105/AJPH.78.12.1568>, "Understanding Psychology as a Science" by Z.
 Dienes (2008, ISBN-13 : 978-0230542310), S. Glover & P. Dixon
 <doi:10.3758/BF03196706> and others. This package accompanies
 "Evidence-Based Statistics" by P. Cahusac (2020, ISBN-13 : 978-1119549802)
 <doi:10.1002/9781119549833>.

Package: r-cran-likelihoodtools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 736
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-likelihood, r-cran-kableextra, r-cran-mass, r-cran-patchwork, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-likelihoodtools_1.0.0-1.ca2004.1_all.deb
Size: 334520
MD5sum: 1530869b8c87133903d98add0b400b13
SHA1: 052c103454b7800d4dd6d0ca3d61bdadea44c381
SHA256: 1b925002966ebea5fe7195137a8c64c8b0cd06d21bd6f5d8fd38271c58cec33e
SHA512: 808b20209bf528b8923aba7e5a95dad58e2113b58a287a33125d5c123012de527857fc9dca2447f98208fc4145897e1f965512c78ff5b6b7ffc77d2bbc44ba35
Homepage: https://cran.r-project.org/package=likelihoodTools
Description: CRAN Package 'likelihoodTools' (Managing Results from Maximum Likelihood Estimation)
 Managing and exploring parameter estimation results derived from Maximum
 Likelihood Estimation (MLE) using the 'likelihood' package. It provides
 functions for organizing, visualizing, and summarizing MLE outcomes,
 streamlining statistical analysis workflows. By improving interpretation and
 facilitating model evaluation, it helps users gain deeper insights into
 parameter estimation and model fitting, making MLE result exploration more
 efficient and accessible. See Goffe et al. (1994)
 <doi:10.1016/0304-4076(94)90038-8> for details on MLE, and Canham and
 Uriarte (2006) <doi:10.1890/04-0657> for application of MLE using
 'likelihood'.

Package: r-cran-likert
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1855
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-xtable, r-cran-psych, r-cran-reshape2, r-cran-gridextra, r-cran-plyr
Suggests: r-cran-devtools, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-likert_1.3.5-1.ca2004.1_all.deb
Size: 1826164
MD5sum: ea22786882bc0963e58e5276c9608b0c
SHA1: e8e298e6d734fd132aafe6e8b16a05ca90f96aef
SHA256: a3409ada52d0529e51d189705e3f6f899cadc1ff0f5b7030bef1fdd4a4b40cee
SHA512: ad745df088fc7116f50caa2063c9777014b43573fb8124ea01f7bc1a4478213d5866caff43597d1a6871b4a9dcda4125c9460b330f0ddb42ec4ea97dabee5fa8
Homepage: https://cran.r-project.org/package=likert
Description: CRAN Package 'likert' (Analysis and Visualization Likert Items)
 An approach to analyzing Likert response items, with an emphasis on
 visualizations.  The stacked bar plot is the preferred method for presenting
 Likert results. Tabular results are also implemented along with density
 plots to assist researchers in determining whether Likert responses can be
 used quantitatively instead of qualitatively. See the likert(),
 summary.likert(), and plot.likert() functions to get started.

Package: r-cran-likertez
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-likertez_0.1.0-1.ca2004.1_all.deb
Size: 29960
MD5sum: 026e6237d5b5497bba31d42eb915a2b5
SHA1: 610f58dbd5fdd044a52f63d6567bcf20f0ab24ff
SHA256: 19f8b0a17f653ab27b7b73feca1f984430d173ec51f7102e93b0379f1f05bcd8
SHA512: 099a486c61495f403e86f4f48f1961b60a00c0c248d338b5902e4df97f3e0ac50d19938ee93ee8064971916d4e0d2cff618a12af0cc0a451e3171bd49dd6f64f
Homepage: https://cran.r-project.org/package=LikertEZ
Description: CRAN Package 'LikertEZ' (Easy Analysis and Visualization of Likert Scale Data)
 Provides functions for summarizing, visualizing, and analyzing Likert-scale
 survey data. Includes support for computing descriptive statistics, Relative
 Importance Index (RII), reliability analysis (Cronbach's Alpha), and
 response distribution plots.

Package: r-cran-lilikoi
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2086
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-caret, r-cran-dplyr, r-cran-gbm, r-cran-ggplot2, r-cran-glmnet, r-cran-h2o, r-bioc-impute, r-cran-infotheo, r-bioc-limma, r-bioc-m3c, r-cran-metrics, r-cran-mlmetrics, r-cran-princurve, r-bioc-pathview, r-cran-plyr, r-bioc-preprocesscore, r-cran-proc, r-bioc-rcy3, r-cran-reticulate, r-cran-reshape, r-cran-rweka, r-cran-scales, r-cran-stringr, r-cran-survminer, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lilikoi_2.1.1-1.ca2004.1_all.deb
Size: 1658400
MD5sum: 8116562120684063431e0b8de18f08cc
SHA1: caf59f26abb3f51f1fdd1d13968c303f451af09f
SHA256: 81425c035ad9e9b8a4e63aec174eff3505eec489d4be6da543d036ae3e949627
SHA512: bfa357d14f22b16c9d8ebc46bc739f67de76d0dce571f33ad2b7e20650efb8a10948719e8e64ebd78ba7522a254505d3da29796f5ab52dac61739bf913ab8537
Homepage: https://cran.r-project.org/package=lilikoi
Description: CRAN Package 'lilikoi' (Metabolomics Personalized Pathway Analysis Tool)
 A comprehensive analysis tool for metabolomics data.  It consists a variety
 of functional modules, including several new modules: a pre-processing
 module for normalization and imputation, an exploratory data analysis module
 for dimension reduction and source of variation analysis, a classification
 module with the new deep-learning method and other machine-learning methods,
 a prognosis module with cox-PH and neural-network based Cox-nnet methods,
 and pathway analysis module to visualize the pathway and interpret
 metabolite-pathway relationships. References: H. Paul Benton
 <http://www.metabolomics-forum.com/index.php?topic=281.0> Jeff Xia
 <https://github.com/cangfengzhe/Metabo/blob/master/MetaboAnalyst/website/name_match.R>
 Travers Ching, Xun Zhu, Lana X. Garmire (2018)
 <doi:10.1371/journal.pcbi.1006076>.

Package: r-cran-lillies
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-knitr, r-cran-pracma, r-cran-progress, r-cran-rlang, r-cran-survival, r-cran-tidyr
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-lillies_0.2.12-1.ca2004.1_all.deb
Size: 470780
MD5sum: 8aefe5d52fcc598a8d66752f2cbb3340
SHA1: 4cf1f6e8482617fe537aecddb4c6f15c47ea14fa
SHA256: bc3865718a6f3442661d99678d21595920c6efd722fe6e02f0b2378b4ccd3f13
SHA512: 8d88f4404b16ae342e4d873f671fa1668ef240c13b04cc81b7b43bfb6e98e6015cff0d248b69dc491df70b90e22b9c88413f408e846781c7fc0d77db4d6a4922
Homepage: https://cran.r-project.org/package=lillies
Description: CRAN Package 'lillies' (Estimation of Life Years Lost)
 Estimation of life expectancy and Life Years Lost (LYL, or lillies for
 short) for a given population, for example those with a given disease or
 condition. In addition, the package can be used to compare estimates from
 different populations, or to estimate confidence intervals. Technical
 details of the method are available in Plana-Ripoll et al. (2020)
 <doi:10.1371/journal.pone.0228073> and Andersen (2017)
 <doi:10.1002/sim.7357>.

Package: r-cran-lilrhino
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-stringi, r-cran-beepr, r-cran-ggplot2, r-cran-keras, r-cran-dplyr, r-cran-readr, r-cran-tm, r-cran-e1071, r-cran-snowballc, r-cran-data.table, r-cran-fastmatch, r-cran-neuralnet
Suggests: r-cran-textclean
Filename: pool/dists/focal/main/r-cran-lilrhino_1.2.2-1.ca2004.1_all.deb
Size: 70676
MD5sum: 63d9705a8b3de9716ab0dee859877e3f
SHA1: d64e4ed5e26f75119f140293eb32ad16265ba560
SHA256: 788ab4ac3513e922aef6b04d243728836f5dd46d802d5fc394e501ff316da5d7
SHA512: 77591cf7c5bf8dad9be10a4852c3c2565f78a5265bae10c6973ece41e8658378915b37fe4842d9e7402bea54b91769e83c9221677383d424b49a64df23c2e8e1
Homepage: https://cran.r-project.org/package=LilRhino
Description: CRAN Package 'LilRhino' (For Implementation of Feed Reduction, Learning Examples, NLP andCode Management)
 This is for code management functions, NLP tools, a Monty Hall simulator,
 and for implementing my own variable reduction technique called Feed
 Reduction. The Feed Reduction technique is not yet published, but is merely
 a tool for implementing a series of binary neural networks meant for
 reducing data into N dimensions, where N is the number of possible values of
 the response variable.

Package: r-cran-lim
Architecture: all
Version: 1.4.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-limsolve, r-cran-diagram
Filename: pool/dists/focal/main/r-cran-lim_1.4.7.2-1.ca2004.1_all.deb
Size: 847788
MD5sum: 1a3f16450dcd2138d126db7180f3e276
SHA1: 2c3d0ca877b9b44076201578ea966edf2751fb4a
SHA256: ae5d1ecef0d1075fdad2cd57a711151c2e20998c58329652e1abd735b31ac759
SHA512: 1814cfe7ed014fdf386ac38406ce0f4687e860cc2d45dd5487f073c25098e7a10fd6824d642177868c80aa952568fd19594fddbf139e96d18cbf3c7c97a79ce9
Homepage: https://cran.r-project.org/package=LIM
Description: CRAN Package 'LIM' (Linear Inverse Model Examples and Solution Methods)
 Functions that read and solve linear inverse problems (food web problems,
 linear programming problems).  These problems find solutions to linear or
 quadratic functions: min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) =
 sum(ai*xi) subject to equality constraints Ex=f and inequality constraints
 Gx>=h.

Package: r-cran-limexhub
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-limexhub_0.1.5-1.ca2004.1_all.deb
Size: 37364
MD5sum: 7eb546ff0215f5ce2138216cc7229a44
SHA1: 78def0adaadeb7312118730bad6ca45d08a48f5b
SHA256: 9f0804a3f1d2cb33b4b789299eb6959f8d842d41f6824d3c2773161c3b233ceb
SHA512: 76016a1c9cbccf8220286034ab7c5218dcdd20fbe09d4d784c2987ffa2c355e14b0accd9c615abf84e238cd27b2c0b305cc45de409bd18fc1f3158e9864b517c
Homepage: https://cran.r-project.org/package=limexhub
Description: CRAN Package 'limexhub' (Quantitative Trade Signals)
 Provides an interface to the financial data platform
 <https://datahub.limex.com/>., enabling users to retrieve real-time and
 historical financial data. Functions within the package allow access to
 instruments, candlestick charts, fundamentals, news, events, models, and
 trading signals. Authentication is managed through user-specific API tokens,
 which are securely handled via environment variables.

Package: r-cran-liminal
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3796
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tourr, r-cran-shiny, r-cran-vegawidget, r-cran-miniui, r-cran-jsonlite, r-cran-rlang, r-cran-dplyr, r-cran-matrixstats
Suggests: r-cran-rtsne, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-liminal_0.1.2-1.ca2004.1_all.deb
Size: 3666448
MD5sum: 85d8b8ad6ea7ae4b7eecb60687712a96
SHA1: 79882b77a32c066af5dd2155b2bdf2c194e22cbc
SHA256: fd617bfd4ad853a39a8184ad85d8bfd97fe3d5bac08d11c386315d53abb056f3
SHA512: 997fc591654a0abcc76fccf01cf24f4bb13b13810465434c09b6d1595137b5185a9fc2a4fa809210b03e859191f9676d971f30c3fff3ca4e1ee471500d3a6384
Homepage: https://cran.r-project.org/package=liminal
Description: CRAN Package 'liminal' (Multivariate Data Visualization with Tours and Embeddings)
 Compose interactive visualisations designed for exploratory high-dimensional
 data analysis. With 'liminal' you can create linked interactive graphics to
 diagnose the quality of a dimension reduction technique and explore the
 global structure of a dataset with a tour. A complete description of the
 method is discussed in ['Lee' & 'Laa' & 'Cook' (2020) <arXiv:2012.06077>].

Package: r-cran-limnopalettes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1265
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-limnopalettes_0.1.0-1.ca2004.1_all.deb
Size: 1227604
MD5sum: 3dd5de3868572ab33c64b0fe4b7ac573
SHA1: 938b04d7042e0683814c3b17ff92cd50d578e08d
SHA256: c3fba9d6ef22f32e4c586b7b0bd081435fca62ce7b266b329cb16c3e29cc289c
SHA512: bd963f31cec1cd8281edaf5b8a41e3f541f1061a3bf5af3ba456834cb7e1574d767743a1f06870010cce8113bb64c4af42891a6bf0a258dd45d65e6cc16026bd
Homepage: https://cran.r-project.org/package=LimnoPalettes
Description: CRAN Package 'LimnoPalettes' (A Limnology Themed Palette Generator)
 Palettes generated from limnology based field and laboratory photos.
 Palettes can be used to generate color values to be used in any functions
 that calls for a color (i.e. ggplot(), plot(), flextable(), etc.).

Package: r-cran-limonaid
Architecture: all
Version: 25.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 843
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-psyverse, r-cran-rmarkdown, r-cran-sticky, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-limonaid_25.5.5-1.ca2004.1_all.deb
Size: 370752
MD5sum: 0e92c947788fb909db86e88c654617fd
SHA1: fa7e526e1df1f68d793a9d689964350f85d9ccdb
SHA256: d032ded99d1a8153b91ce3e4ab2d961c475d51bbd3920948e8e5040ed0d5f75c
SHA512: ef0e8a581a03d780486182279afc74e6f9831be2c3a9760c640654279a6500b8ce3c570c39023dbdf8f8526e9134476d02f85be6e81454785aa5a550f6a99964
Homepage: https://cran.r-project.org/package=limonaid
Description: CRAN Package 'limonaid' (Working with 'LimeSurvey' Surveys and Responses)
 'LimeSurvey' is Free/Libre Open Source Software for the development and
 administrations of online studies, using sophisticated tailoring
 capabilities to support multiple study designs (see
 <https://www.limesurvey.org>). This package supports programmatic creation
 of surveys that can then be imported into 'LimeSurvey', as well as user
 friendly import of responses from 'LimeSurvey' studies.

Package: r-cran-limorhyde2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1238
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind, r-cran-ashr, r-cran-checkmate, r-cran-data.table, r-bioc-deseq2, r-cran-foreach, r-cran-hdinterval, r-cran-iterators, r-bioc-limma, r-cran-mashr, r-cran-pbs, r-cran-zeallot
Suggests: r-cran-cowplot, r-cran-knitr, r-cran-doparallel, r-cran-ggplot2, r-cran-glue, r-cran-qs, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-limorhyde2_0.1.0-1.ca2004.1_all.deb
Size: 784856
MD5sum: c3ed84e162c57e64e38f6a80e1fe00cc
SHA1: 0518a66058c573ab23fd5e8df983cc5dc007e1ed
SHA256: 6ba7c0b774647297de1a2a5d219f85d2a02877a1d849296be411c59732ea529f
SHA512: bbd2d7e65076a3f6be639d10801916781575ceb1916d2396b38192c2398a158a763a1ecbfce150703a91837891461afd9079273117db657305bd4ad345ede9e7
Homepage: https://cran.r-project.org/package=limorhyde2
Description: CRAN Package 'limorhyde2' (Quantify Rhythmicity and Differential Rhythmicity in GenomicData)
 Fit linear models based on periodic splines, moderate model coefficients
 using multivariate adaptive shrinkage, then compute properties of the
 moderated curves.

Package: r-cran-limorhyde
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2928
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbs
Suggests: r-bioc-annotate, r-cran-data.table, r-cran-foreach, r-cran-ggplot2, r-cran-knitr, r-bioc-limma, r-cran-matrixstats, r-bioc-org.mm.eg.db, r-cran-qs, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-limorhyde_1.0.1-1.ca2004.1_all.deb
Size: 2848568
MD5sum: 78a0f5740fc3ebf79988479f7f04cd04
SHA1: c7f5f4c26f54c1d8954c700985cea2510f0d134a
SHA256: 830915a72ecd728291e44e122b2c5a0144029261df82fefd11197b5f50bdcdd5
SHA512: 102475959db7c89119aabf09543d38088a2682e4f6518d2b3d8b3a6ce3235a11445691381056898bf8856e8b0e80b4664c311a06910189965871b2493d7d93cc
Homepage: https://cran.r-project.org/package=limorhyde
Description: CRAN Package 'limorhyde' (Differential Analysis of Rhythmic Transcriptome Data)
 A flexible approach, inspired by cosinor regression, for differential
 analysis of rhythmic transcriptome data. See Singer and Hughey (2018)
 <doi:10.1177/0748730418813785>.

Package: r-cran-lin.eval
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-lin.eval_0.1.2-1.ca2004.1_all.deb
Size: 19056
MD5sum: abb9f30803752dcee4cf327794de4ef0
SHA1: 738b351b89c4b45a65b667dc7c4aa56c62df4b81
SHA256: afc27758df326d86d3cc1aa7bd9d7cd8edb48e1492bd84b77a93ff246da1ab25
SHA512: 76898041888eec5102d787ff9f4c9efb0750a7760fb8ee40f675de72d58fae45f694940c76875f0d705bbfed8c8c79a3de9921220d347a34c2646f26679d81df
Homepage: https://cran.r-project.org/package=lin.eval
Description: CRAN Package 'lin.eval' (Perform Polynomial Evaluation of Linearity)
 Evaluates whether the relationship between two vectors is linear or
 nonlinear. Performs a test to determine how well a linear model fits the
 data compared to higher order polynomial models. Jhang et al. (2004)
 <doi:10.1043/1543-2165(2004)128%3C44:EOLITC%3E2.0.CO;2>.

Package: r-cran-linbin
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2197
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-linbin_0.1.3-1.ca2004.1_all.deb
Size: 1906316
MD5sum: 3f794bba1e24f8d144cc74cc1809edde
SHA1: 2cecf3a0adb6b77636718e79388d87ba095e4791
SHA256: b4ad780a007e611295a512c9042966cf4120a692ba6e37e678e524549a613f63
SHA512: f1f016ef5b74b152cc58ea7605f663812212ccb44808821c91c82f9d79ff770e764ff920e8a0f7587fed190c7198d69cf6591453f618eab066c17b4a692c90e3
Homepage: https://cran.r-project.org/package=linbin
Description: CRAN Package 'linbin' (Binning and Plotting of Linearly Referenced Data)
 Short for 'linear binning', the linbin package provides functions for
 manipulating, binning, and plotting linearly referenced data. Although
 developed for data collected on river networks, it can be used with any
 interval or point data referenced to a 1-dimensional coordinate system.
 Flexible bin generation and batch processing makes it easy to compute and
 visualize variables at multiple scales, useful for identifying patterns
 within and between variables and investigating the influence of scale of
 observation on data interpretation.

Package: r-cran-lincal
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lincal_1.0.1-1.ca2004.1_all.deb
Size: 28268
MD5sum: 9dea2020415bcca1e102ebe26ffc8fda
SHA1: 2ca6597e0251e39e8e8c0f7facc9c69d38f1eda6
SHA256: 5688d91037358b5a5324a9915d466a396d0e5ded71f1eb519b7814eb56df1d4a
SHA512: d290f6b9bff0d5d32d0e3b82cfc2de0d5a00fdde64bbe85104eb872d935002e936308feb9a8e5bfe9ee08a914a3df7eaad6124f1ddccade7a47f5c37ca026e46
Homepage: https://cran.r-project.org/package=LinCal
Description: CRAN Package 'LinCal' (Static Univariate Frequentist and Bayesian Linear Calibration)
 Estimate and confidence/credible intervals for an unknown regressor x0 given
 an observed y0.

Package: r-cran-lindenmayer
Architecture: all
Version: 0.1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-lindenmayer_0.1.13-1.ca2004.1_all.deb
Size: 27880
MD5sum: 40421b5b72442752a5c59400c1341257
SHA1: 55a7476b1db515495c0eb7fb86d5ad91ef41ca02
SHA256: 68fea0053047570e94c38a3b0a494e858cd6e4b44455ca73b9535c26b1a31b74
SHA512: 341dcc197ad5e5ffc86cfb62637efc5d9e12db940a0e6b7bb45bd20946b1087835a894d926ace3ae720cd7e5b218917ee356e29382f33fa8d05b71e7264625e6
Homepage: https://cran.r-project.org/package=LindenmayeR
Description: CRAN Package 'LindenmayeR' (Functions to Explore L-Systems (Lindenmayer Systems))
 L-systems or Lindenmayer systems are parallel rewriting systems which can be
 used to simulate biological forms and certain kinds of fractals.  Briefly,
 in an L-system a series of symbols in a string are replaced iteratively
 according to rules to give a more complex string. Eventually, the symbols
 are translated into turtle graphics for plotting. Wikipedia has a very good
 introduction: en.wikipedia.org/wiki/L-system This package provides basic
 functions for exploring L-systems.

Package: r-cran-lindia
Architecture: all
Version: 0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-lindia_0.10-1.ca2004.1_all.deb
Size: 54304
MD5sum: e5f509903774eea527afa45b89d30f6a
SHA1: c4d6fb0daaafc42e9b2c93cf429eea90215d48c2
SHA256: b51930306a4a099f67318917129cd6b5bfacb00a8c59c512dbcb3f87692a63bf
SHA512: 7ff23d995ad0efa861f05aa0817a391bfc6f591e25066f3464f3c1e857866f77599c7a0451bae2343a6ae686ed085bee4aec52f850ec108b0312973c40b7587c
Homepage: https://cran.r-project.org/package=lindia
Description: CRAN Package 'lindia' (Automated Linear Regression Diagnostic)
 Provides a set of streamlined functions that allow easy generation of linear
 regression diagnostic plots necessarily for checking linear model
 assumptions.  This package is meant for easy scheming of linear regression
 diagnostics, while preserving merits of "The Grammar of Graphics" as
 implemented in 'ggplot2'.  See the 'ggplot2' website for more information
 regarding the specific capability of graphics.

Package: r-cran-lindleypowerseries
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lindleypowerseries_1.0.1-1.ca2004.1_all.deb
Size: 52540
MD5sum: 9af32a1582b127fbf48edb3eeb7d8478
SHA1: 40f7cdf402621b1035c6272c40a7312c1b018275
SHA256: 44f0ec81ff8a776d79133189b802d26c0ebbf301673d0070f24a448908777426
SHA512: 23d1e5cc4a86a44278ebc68293071e363c478eb94a80177a07c2d595e3e80cd98471f9b1858afc9a6327aa99bd383b680e961850e4676f7ef0e18134497d21c5
Homepage: https://cran.r-project.org/package=LindleyPowerSeries
Description: CRAN Package 'LindleyPowerSeries' (Lindley Power Series Distribution)
 Computes the probability density function, the cumulative distribution
 function, the hazard rate function, the quantile function and random
 generation for Lindley Power Series distributions, see Nadarajah and Si
 (2018) <doi:10.1007/s13171-018-0150-x>.

Package: r-cran-lindleyr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lamw
Suggests: r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-lindleyr_1.1.0-1.ca2004.1_all.deb
Size: 232408
MD5sum: cf35987a0bde3a6fe938c2a14edc88aa
SHA1: 2897d816c1c628d1e8bfa790d3de11c99142b888
SHA256: 1e2c6e4ea7c27ed974ab70e1466d263e26a1aa08deaca6011c58bac33ce2fc9a
SHA512: 61526741352bb2922a82dccb95827973c5a73f9bc90be622ac02a03409438469ed953578c5151883fb5d4ae0402ba909667177e18c2d7421bd3a79e07e2bfc90
Homepage: https://cran.r-project.org/package=LindleyR
Description: CRAN Package 'LindleyR' (The Lindley Distribution and Its Modifications)
 Computes the probability density, the cumulative distribution, the quantile
 and the hazard rate functions and generates random deviates from the
 discrete and continuous Lindley distribution as well as for 19 of its
 modifications. It also generates censored random deviates from any
 probability distribution available in R.

Package: r-cran-linea
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-ggplot2, r-cran-gtrendsr, r-cran-tis, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-linea_0.1.1-1.ca2004.1_all.deb
Size: 205916
MD5sum: 0f6de2fe9532a1364a4e9ca51189d825
SHA1: a56f799003a41fcecfe5fad4b5a6bf4704a682c9
SHA256: 31f7ec2987ce56eb4dd7b20500d5aaa4554514b881cf04b2979d3d80fd8e918c
SHA512: 30e2a2a4242660aa19aa90f1b46d374fe567fa0661078b3b767a5db23ca637b2a7cb836c0ac3b719a2d0cbd3b84a7b4856ac2269bfc447adbd6a27a20be4edac
Homepage: https://cran.r-project.org/package=linea
Description: CRAN Package 'linea' (Linear Regression Interface)
 An interface to accelerate linear regression (Ordinary least squares)
 modelling, which allows users to build models quickly, while automatically
 generating interactive visualizations of the results.  Non-linear models
 specification (e.g. y = b1*x1 + b2*log(x2)) can be easily constructed using
 user-defined transformations.  Functions for testing wide ranges of model
 specifications (e.g. y = b*log(x,10) , y = b*log(x,20) , ...), all at once,
 are also available.  Finally, models can be imported and exported as Excel
 files where all the information necessary for re-running the models is
 stored in separate sheets.

Package: r-cran-linearmodel
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-linearmodel_1.0.2-1.ca2004.1_all.deb
Size: 29932
MD5sum: 9f8b4573c2a029178c03569dd64f95fa
SHA1: 9f989e7c490a8e08a89f0e194b32196192fde20b
SHA256: 675123b9e980a47cf6909ae33ca5d41ba786b5fe8d5a4965fb5b89aaff17b8cb
SHA512: b20705d5bcc0b5303e5fdda1a1ee9ecfba26cc8f1ed01f127b4bc5b1a907ba5107167dccedc28a43466257f4493163d907d48b70cea916c45efd8a33dc2eb2c4
Homepage: https://cran.r-project.org/package=linearModel
Description: CRAN Package 'linearModel' (Linear Model Functions)
 Functions to access and test results from a linear model.

Package: r-cran-linearregressionmde
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-linearregressionmde_1.0-1.ca2004.1_all.deb
Size: 18144
MD5sum: e1c49d5ecef1ddfdf63902199fd69a96
SHA1: 3e7e4371e3512a3f7471179a8529d4d56045fdc3
SHA256: 106a7a9400304f79902d00b43a6e3975879da2885ccb34d75459839b8967a256
SHA512: 8c437dd0561043a7b6c6d06dc6ef50170eee404d40e40590f2803ef989889c803b487f068e94a3edbf8327b15dabad743064097392b141031fb8295c739c2dba
Homepage: https://cran.r-project.org/package=LinearRegressionMDE
Description: CRAN Package 'LinearRegressionMDE' (Minimum Distance Estimation in Linear Regression Model)
 Consider linear regression model Y = Xb + error where the distribution
 function of errors is unknown, but errors are independent and symmetrically
 distributed. The package contains a function named LRMDE which takes Y and X
 as input and returns minimum distance estimator of parameter b in the model.

Package: r-cran-lineartestr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-sandwich, r-cran-dplyr, r-cran-ggplot2, r-cran-viridis, r-cran-tidyr, r-cran-readr, r-cran-forecast
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lineartestr_1.0.0-1.ca2004.1_all.deb
Size: 93688
MD5sum: 3e325b248d1e17cf2faa5fdfc3bf0103
SHA1: 2f35f61f1bc520c5312ff6f1ae0bd374ed01ca79
SHA256: 354b9c94e486393bdbe55a77e4f9e27c89a2023890e8703e433d39199b95df77
SHA512: 964c5df5cdd1d4cf848f47968e7d9f7fdc16213ba7f8a1cc7dfa2cf61cf36456f68dc1d810ad03a387f51b118604b0d8e2d93641432b70b460d7e5ca904f1752
Homepage: https://cran.r-project.org/package=lineartestr
Description: CRAN Package 'lineartestr' (Linear Specification Testing)
 Tests whether the linear hypothesis of a model is correct specified using
 Dominguez-Lobato test. Also Ramsey's RESET (Regression Equation
 Specification Error Test) test is implemented and Wald tests can be carried
 out.  Although RESET test is widely used to test the linear hypothesis of a
 model, Dominguez and Lobato (2019) proposed a novel approach that
 generalizes well known specification tests such as Ramsey's. This test
 relies on wild-bootstrap; this package implements this approach to be usable
 with any function that fits linear models and is compatible with the
 update() function such as 'stats'::lm(), 'lfe'::felm() and
 'forecast'::Arima(), for ARMA (autoregressive–moving-average) models.  Also
 the package can handle custom statistics such as Cramer von Mises and
 Kolmogorov Smirnov, described by the authors, and custom distributions such
 as Mammen (discrete and continuous) and Rademacher.  Manuel A. Dominguez &
 Ignacio N. Lobato (2019) <doi:10.1080/07474938.2019.1687116>.

Package: r-cran-linelist
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-callr, r-cran-dplyr, r-cran-knitr, r-cran-outbreaks, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-linelist_2.0.1-1.ca2004.1_all.deb
Size: 263184
MD5sum: 7768baf9f3c38e1ecaa78f4f2e3a047e
SHA1: 6fec1b9d801f9ef5c2366c13f7c391dbe4f9a6b0
SHA256: 75a2c9c3b1e3b2f098da7584151d5fa7a7f024434edda4258672a2a4df5340c0
SHA512: 7886ff899db8c270d9d5db77d5f0fba3e3f0975f8472a6aff8239a0a5840ed4b5deba6fe6d0d22b2a4b9a30f22b7f4f28d0ebd89786527cc967a2e26276bc012
Homepage: https://cran.r-project.org/package=linelist
Description: CRAN Package 'linelist' (Tagging and Validating Epidemiological Data)
 Provides tools to help storing and handling case line list data. The
 'linelist' class adds a tagging system to classical 'data.frame' objects to
 identify key epidemiological data such as dates of symptom onset,
 epidemiological case definition, age, gender or disease outcome. Once
 tagged, these variables can be seamlessly used in downstream analyses,
 making data pipelines more robust and reliable.

Package: r-cran-linemap
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1714
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra
Suggests: r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-linemap_0.3.0-1.ca2004.1_all.deb
Size: 1647536
MD5sum: d962aa1cecc0c9d70b6247ab3d5e7e88
SHA1: 64d402e274cb93de82063d3e488c487d4bc604c8
SHA256: 8ebf80b45d48e7fd7e0015a4b0be154431e7e24e717a3ed1d3875b3690204723
SHA512: 9cfc5bdb99e979f921d9afe2a640fbb942c7aa7eda5181222b2e3868b8c7b831a23dac4344aa53dcd806258f16f731c2d10a2de54081c63d3d6dea9fe0b7f34d
Homepage: https://cran.r-project.org/package=linemap
Description: CRAN Package 'linemap' (Line Maps)
 Create maps made of lines. The package contains one function: linemap().
 linemap() displays a map made of lines using a raster or gridded data.

Package: r-cran-lineupjs
Architecture: all
Version: 4.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3161
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-crosstalk, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lintr, r-cran-remotes, r-cran-styler, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-lineupjs_4.6.0-1.ca2004.1_all.deb
Size: 308024
MD5sum: 9f9b545f9495224b3f2a2779451773e0
SHA1: bebdeadfa7bf5d547c43c2ea606b6855cf12af83
SHA256: 10381c0046c7a98c44009bfac15fe99ae2d8616935a73c4bffa21b26f5c8d560
SHA512: 0030f313fdfcd008238f5779e571caf4b147d524642b98378305e26206f5ad9c94d295aaddb3c10c79a0ffeb97d4cc697f91b2918ae5d276abb10f8650c5ae95
Homepage: https://cran.r-project.org/package=lineupjs
Description: CRAN Package 'lineupjs' ('HTMLWidget' Wrapper of 'LineUp' for Visual Analysis ofMulti-Attribute Rankings)
 'LineUp' is an interactive technique designed to create, visualize and
 explore rankings of items based on a set of heterogeneous attributes.  This
 is a 'htmlwidget' wrapper around the JavaScript library 'LineUp.js'.  It is
 designed to be used in 'R Shiny' apps and 'R Markddown' files.  Due to an
 outdated 'webkit' version of 'RStudio' it won't work in the integrated
 viewer.

Package: r-cran-linevis
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1817
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crosstalk, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-rmarkdown, r-cran-shiny
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-linevis_1.0.0-1.ca2004.1_all.deb
Size: 351716
MD5sum: 9ec2c4e4cf55449b20296e20238d5ac2
SHA1: 5627d04ebb6457f5887dd5d0460856260f49cd69
SHA256: 7bc018d64542dd032d74cff4d6f30ffcd44c1ff59b1bdb5ec5369f08251e52e1
SHA512: cd0615aeb3db12ed6c2adc57abce1d07ab4309a5f85d05fdefbf52173161bfdf9e45d528e5409abd766087a4ea0efd657e9df4c3722f0021b792bd6751d1b6c5
Homepage: https://cran.r-project.org/package=linevis
Description: CRAN Package 'linevis' (Interactive Time Series Visualizations)
 Create interactive time series visualizations.  'linevis' includes an
 extensive API to manipulate time series after creation, and supports getting
 data out of the visualization. Based on the 'timevis' package and the
 'vis.js' Timeline 'JavaScript' library
 <https://visjs.github.io/vis-timeline/docs/graph2d/>.

Package: r-cran-lingglosses
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kableextra, r-cran-knitr, r-cran-gt, r-cran-rmarkdown, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lingglosses_0.0.9-1.ca2004.1_all.deb
Size: 63588
MD5sum: 641d829de42fc5deaa8f8f91a55746e1
SHA1: 2c2f27fac0060c3f8014a100a2b32da412caf57f
SHA256: 00f87096cd7231fe90cf4c64b9270c376846833031869d0ed18d1530ea32af80
SHA512: 577aad5cf72f4295be6b56592a54b1e0a936b0cb263ac04d750f3a9a878cc0a9d2150fec48aa08503b40c14082a6bbb4d1178e18dbf7e70db2405768994b6b38
Homepage: https://cran.r-project.org/package=lingglosses
Description: CRAN Package 'lingglosses' (Interlinear Glossed Linguistic Examples and Abbreviation ListsGeneration)
 Helps to render interlinear glossed linguistic examples in html 'rmarkdown'
 documents and then semi-automatically compiles the list of glosses at the
 end of the document. It also provides a database of linguistic glosses.

Package: r-cran-lingtypology
Architecture: all
Version: 1.1.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3165
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-leaflet, r-cran-leaflet.minicharts, r-cran-stringdist, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-sp, r-cran-sf, r-cran-ape
Filename: pool/dists/focal/main/r-cran-lingtypology_1.1.22-1.ca2004.1_all.deb
Size: 2783800
MD5sum: b9140ce6d1692fea4eb5e962de4f6c5f
SHA1: 78a38a5ea1aca2f6485c5fc4a5b559d0bba9df62
SHA256: ad55d896936b41b64948514ca933ac96bdb2dbf2923f4b33cc2944f7485eff8f
SHA512: 8bb73740a405dd07d283fbbd1c2d381b47173b900d203691ead2fad0b2273c06b1ad2ccbd9e57e74b2319a4e1af0f03b9c94ca24423922ee60c985bc6b55b4b0
Homepage: https://cran.r-project.org/package=lingtypology
Description: CRAN Package 'lingtypology' (Linguistic Typology and Mapping)
 Provides R with the Glottolog database <https://glottolog.org/> and some
 more abilities for purposes of linguistic mapping. The Glottolog database
 contains the catalogue of languages of the world. This package helps
 researchers to make a linguistic maps, using philosophy of the
 Cross-Linguistic Linked Data project <https://clld.org/>, which allows for
 while at the same time facilitating uniform access to the data across
 publications. A tutorial for this package is available on GitHub pages
 <https://docs.ropensci.org/lingtypology/> and package vignette. Maps created
 by this package can be used both for the investigation and linguistic
 teaching. In addition, package provides an ability to download data from
 typological databases such as WALS, AUTOTYP and some others and to create
 your own database website.

Package: r-cran-linguisticsdown
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-shiny, r-cran-magrittr, r-cran-miniui, r-cran-knitr, r-cran-rstudioapi, r-cran-dt
Suggests: r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-linguisticsdown_1.2.0-1.ca2004.1_all.deb
Size: 41864
MD5sum: 48e983c75ca3519013c6e224a5a6b61f
SHA1: 2d8127809a9131f964441a3238ff8cbacfa26366
SHA256: 73842fe134bcbcca048692a1e36669347617678b54cb3567516451355f680b75
SHA512: 3a85cfc85bb4b9c3fc785f72ff86a991f1077cae36f503c3ea76f08d917904e3af13ab18b50e0fe855b06f489884bcc9e3f766c073af06914f0162ae6601d301
Homepage: https://cran.r-project.org/package=linguisticsdown
Description: CRAN Package 'linguisticsdown' (Easy Linguistics Document Writing with R Markdown)
 Provides 'Shiny gadgets' to search, type, and insert IPA symbols into
 documents or scripts, requiring only knowledge about phonetics or 'X-SAMPA'.
 Also provides functions to facilitate the rendering of IPA symbols in
 'LaTeX' and PDF format, making IPA symbols properly rendered in all output
 formats. A minimal R Markdown template for authoring Linguistics related
 documents is also bundled with the package. Some helper functions to
 facilitate authoring with R Markdown is also provided.

Package: r-cran-link2gi
Architecture: all
Version: 0.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-devtools, r-cran-r.utils, r-cran-roxygen2, r-cran-sf, r-cran-brew, r-cran-yaml, r-cran-terra, r-cran-xml2, r-cran-xfun, r-cran-rstudioapi, r-cran-renv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sp, r-cran-rgrass, r-cran-stars, r-cran-curl, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-link2gi_0.6-2-1.ca2004.1_all.deb
Size: 252628
MD5sum: edb9d22d43e39b4015f926476bfd837f
SHA1: 91a2e690ce79df5a163511c116a8dae95d82a4c8
SHA256: b8527627b2de77559c1ffb56ef06350255f5c686bcdaabad5ac961e572ae2fc6
SHA512: 495587e44611022e1d29faf86797f0b19e3631a9410fae0653e39e95a0506f44e1ec4d0999c9650f4c9b2f4d5d35649194349a67bceda9cbcf6d04d8b5570cc7
Homepage: https://cran.r-project.org/package=link2GI
Description: CRAN Package 'link2GI' (Linking Geographic Information Systems, Remote Sensing and OtherCommand Line Tools)
 Functions and tools for using open GIS and remote sensing command-line
 interfaces in a reproducible environment.

Package: r-cran-link
Architecture: all
Version: 2024.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bslib, r-cran-downlit, r-cran-glue, r-cran-htmltools, r-cran-httr2, r-cran-knitr, r-cran-rlang, r-cran-stringr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-link_2024.4.0-1.ca2004.1_all.deb
Size: 216120
MD5sum: 890f6b5e66e564aa64687e316040359c
SHA1: f79b960146cf100b870e21eef38b5e1a694d3fbc
SHA256: 8cd9acbc6627edf97c1b4175b6b592792d58b82752ac8d94bfe4a56b0ac87a65
SHA512: 55eeffc247a2c089ac6d4dd0ed6d318054eacd16c3ab9436225ab2f5d75b3f6ae33a45fd7042b32468187f746d6ca0b66c64f414e75047e48b6d09c33804c0a5
Homepage: https://cran.r-project.org/package=link
Description: CRAN Package 'link' (Hyperlink Automatic Detection)
 Automatic detection of hyperlinks for packages and calls in the text of
 'rmarkdown' or 'quarto' documents.

Package: r-cran-linkage
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rcolorbrewer, r-cran-sna, r-cran-network
Filename: pool/dists/focal/main/r-cran-linkage_0.9-1.ca2004.1_all.deb
Size: 72476
MD5sum: 3ead6de2c4439001bd030b43ecec3996
SHA1: 819631eecd0c065b9c5b6dadc678ad738d53e83c
SHA256: ae9d07d74d31a1f3a5552c6ed2458096a0d2b31d456f9995c3f72c20f0336e3c
SHA512: aa6496f7920ecb646f2d22aace8ba7e73822428c5b69f196b84ad18ca505896cf5f21a61eddcd50c974da61e11219f84b724cd192c9377d9439ad7dc9cc3c3bf
Homepage: https://cran.r-project.org/package=Linkage
Description: CRAN Package 'Linkage' (Clustering Communication Networks Using the Stochastic TopicBlock Model Through Linkage.fr)
 It allows to cluster communication networks using the Stochastic Topic Block
 Model <doi:10.1007/s11222-016-9713-7> by posting jobs through the API of the
 linkage.fr server, which implements the clustering method.  The package also
 allows to visualize the clustering results returned by the server.

Package: r-cran-linkagemapview
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-qtl, r-cran-plotrix, r-cran-rcolorbrewer
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-linkagemapview_2.1.2-1.ca2004.1_all.deb
Size: 884700
MD5sum: 0c1ff2da86ca8f0b876ad59322a9caff
SHA1: acc7ee42ac452e0bdf3215a080683a7a1dc5b682
SHA256: 944e8196c594e14afe127156473f3c84731bb864707e7c22a0bb93427f71b3dd
SHA512: 1df8fe5c404e2a036078b325bac6301f04aeeac4c254e7266468fc938d40ed037a96326e7eb5c0dd6daad08ef354cfc50e13f20c43ba10b8d8c8989de0b31519
Homepage: https://cran.r-project.org/package=LinkageMapView
Description: CRAN Package 'LinkageMapView' (Plot Linkage Group Maps with Quantitative Trait Loci)
 Produces high resolution, publication ready linkage maps and quantitative
 trait loci maps. Input can be output from 'R/qtl', simple text or comma
 delimited files. Output is currently a portable document file.

Package: r-cran-linkedgasp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nloptr, r-cran-spbayes
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-linkedgasp_1.0-1.ca2004.1_all.deb
Size: 84632
MD5sum: e7f85403bd5402f4077863ef198911c0
SHA1: 199ebe2bd003f261166e00af737cce47c3c1f717
SHA256: 6473896dda72b39d58e430c8ebf99e09e96b6775434fe806d1560857fef9c262
SHA512: 2b3ce790e28aacbf015ee599011db9c050f053207aa9ac03fded7746c217c197bff1fda1161d11f05d17a2cd0430f2dca5987e5e08d310c3bb31dbeecc74a411
Homepage: https://cran.r-project.org/package=LinkedGASP
Description: CRAN Package 'LinkedGASP' (Linked Emulator of a Coupled System of Simulators)
 Prototypes for construction of a Gaussian Stochastic Process emulator (GASP)
 of a computer model. This is done within the objective Bayesian
 implementation of the GASP. The package allows for construction of a linked
 GASP of the composite computer model. Computational implementation follows
 the mathematical exposition given in publication: Ksenia N. Kyzyurova, James
 O. Berger, Robert L. Wolpert. Coupling computer models through linking their
 statistical emulators. SIAM/ASA Journal on Uncertainty Quantification, 6(3):
 1151-1171, (2018).<DOI:10.1137/17M1157702>.

Package: r-cran-linkedinadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-linkedinadsr_0.1.0-1.ca2004.1_all.deb
Size: 22124
MD5sum: d7697f208c890dbef19858e7eb1ffa37
SHA1: fffa4eedc8401d79f115915e90d76e7e2f2ab38f
SHA256: 630336848dde899b25214d5803d28197fdc1b77c5177530c0b3109326288a4cd
SHA512: 309b11df7189c2f20d462b687d3ad09d9af9b7821cc30ead9cfabd3411ac8aed23c9c65edea1188b57e6aca84cf5c1188fa9c893614bd9972812b9b6743bd21b
Homepage: https://cran.r-project.org/package=linkedInadsR
Description: CRAN Package 'linkedInadsR' (Access to 'LinkedIn' Ads via the 'Windsor.ai' API)
 Collect marketing data from 'LinkedIn' Ads using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.

Package: r-cran-linkedmatrix
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crochet
Suggests: r-cran-bgdata, r-cran-ff, r-cran-bigmemory, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-linkedmatrix_1.4.0-1.ca2004.1_all.deb
Size: 181032
MD5sum: 15deb980bf11e6838e33d6c2003382fe
SHA1: 22195ff0a77923ad2b33f6582adcc7388c0c0c9f
SHA256: 2b4ab2cbb92deeeaf93bf5a519a19dce355fc76d17f36355cc89ccdf95fc258d
SHA512: fda51dbdd849221d8922cd6feefaef1be1b2cbd5e9f296d2b1f405dbdf6b725c79e6c5c42a219084a8144a1be18dd5e75141edfbdd431608436fe404d854e84e
Homepage: https://cran.r-project.org/package=LinkedMatrix
Description: CRAN Package 'LinkedMatrix' (Column-Linked and Row-Linked Matrices)
 A class that links matrix-like objects (nodes) by rows or by columns while
 behaving similarly to a base R matrix. Very large matrices are supported if
 the nodes are file-backed matrices.

Package: r-cran-linkim
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-linkim_0.1-1.ca2004.1_all.deb
Size: 56832
MD5sum: 54ee87e1ecf4a6fd323aa735e8aa1d2b
SHA1: bc64d02da009aabf1b4a6f0af6a17717a52aba9c
SHA256: 790e77d72b2be539d848ad2c5801d5c5cc06b3f10d7548eb487361aa41c3223c
SHA512: e2165e96f06989143bca24517e3439357ec1f29cff0ae8bf2a3c77acaf907a27413f772eea5ac1a8100e06db5ff4be09b2182f8823b95c7b677a394192f3481a
Homepage: https://cran.r-project.org/package=linkim
Description: CRAN Package 'linkim' (Linkage information based genotype imputation method)
 A linkage information based method for imputing missing diploid genotypes

Package: r-cran-linkprediction
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 830
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-intergraph
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-linkprediction_1.0-0-1.ca2004.1_all.deb
Size: 255424
MD5sum: b3dedd3c09c488eb77b27cf2637a26e0
SHA1: c289758482f9fa7e56fcf02eff746681685f02bf
SHA256: a870120d152fcb2be269748e8281d1a2e3579b2d5a2b0b41f947d411f84f029a
SHA512: b1874961e7201c1b139444a4ba5696292fdfcd526c1c02cc5b825fc06723ba260740ecf84fa000d6b5bfae4adb4eb2c55ce69b85be420fe5faf7cb51f933502e
Homepage: https://cran.r-project.org/package=linkprediction
Description: CRAN Package 'linkprediction' (Link Prediction Methods)
 Implementations of most of the existing proximity-based methods of link
 prediction in graphs. Among the 20 implemented methods are e.g.: Adamic L.
 and Adar E. (2003) <doi:10.1016/S0378-8733(03)00009-1>, Leicht E., Holme P.,
 Newman M. (2006) <doi:10.1103/PhysRevE.73.026120>, Zhou T. and Zhang Y
 (2009) <doi:10.1140/epjb/e2009-00335-8>, and Fouss F., Pirotte A., Renders
 J., and Saerens M. (2007) <doi:10.1109/TKDE.2007.46>.

Package: r-cran-linkspotter
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-visnetwork, r-cran-infotheo, r-cran-minerva, r-cran-energy, r-cran-mclust, r-cran-ramcharts, r-cran-pbapply, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-shinybusy
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-linkspotter_1.3.0-1.ca2004.1_all.deb
Size: 320656
MD5sum: 6c394ddc044882fc1a458d667147ff01
SHA1: 7e3151ef626838ed1cf581504dfd5b52bd1aa567
SHA256: 294f75d2812239f924aafbc34a49d2c4ed53ecc4432938032e96da514cc7d737
SHA512: ec3b5c6914706f20a955389c69718bff1d5df75c573dec38692f7379507066e0b40c05b216526009ff96d285d85846f019f41c4b9df04725c4e130613b559035
Homepage: https://cran.r-project.org/package=linkspotter
Description: CRAN Package 'linkspotter' (Bivariate Correlations Calculation and Visualization)
 Compute and visualize using the 'visNetwork' package all the bivariate
 correlations of a dataframe.  Several and different types of correlation
 coefficients (Pearson's r, Spearman's rho, Kendall's tau, distance
 correlation, maximal information coefficient and equal-freq
 discretization-based maximal normalized mutual information) are used
 according to the variable couple type (quantitative vs categorical,
 quantitative vs quantitative, categorical vs categorical).

Package: r-cran-linl
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-linl_0.0.5-1.ca2004.1_all.deb
Size: 42840
MD5sum: 14943f1a7547fe6127d5d1e1a2dc2f2f
SHA1: 9e4412e9650f9c42163cb3dba004c63a409f4836
SHA256: 24309b89ebbae10520eda4461c35d4c2b5beb812ec5d44f036a895f03b96a973
SHA512: eb0aea3915113623b99878cc768e412c94e65e6eac5c86b3b1650a6950b6f745ed1c26d60672d80b4986b5170f772aff1cb9c031b1779838c9f96db8fdf342ab
Homepage: https://cran.r-project.org/package=linl
Description: CRAN Package 'linl' ('linl' is not 'Letter')
 A 'LaTeX' Letter class for 'rmarkdown', using the 'pandoc-letter' template
 adapted for use with 'markdown'.

Package: r-cran-linlir
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-linlir_1.1-1.ca2004.1_all.deb
Size: 99724
MD5sum: 671af9de5a10280ce730d15524264fe1
SHA1: 344e57ca284a3e1481a48e666a8e304ae6fcacfb
SHA256: aec0f9b1235fe6eb5b9726f5c533ebc10588b4b9e77d0675ddab9e6e6e5c9a70
SHA512: 71fc0ccce3ab381aebef9aa1e0ef857f1d00eccf6a2c5dc75e74f32a589209ab6eb9c7118de5cff08ec454b2fc5ccf7feee04e335356a913cd9f8ad34518e702
Homepage: https://cran.r-project.org/package=linLIR
Description: CRAN Package 'linLIR' (linear Likelihood-based Imprecise Regression)
 This package implements the methodology of Likelihood-based Imprecise
 Regression (LIR) for the case of linear regression with interval data.

Package: r-cran-linpk
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-linpk_1.1.2-1.ca2004.1_all.deb
Size: 432072
MD5sum: f642758b9a540b743a6745a2d6ae0d1f
SHA1: 3b35b943e32a95890a27c033dce49c6cbda6f657
SHA256: e1bf33b8c6306d7a92bbd4e89822b37bca2fb6dc4419b31e34ebd7b18099a8ba
SHA512: b965c664740e6e2c0d5444785972df2dba005bbb8af81c7e30a1fcbe79eed9f4481ddd8808e8e5aa9d0da3b3feb6e6d1285fb0c5b098d7b3a8e03479f1311e18
Homepage: https://cran.r-project.org/package=linpk
Description: CRAN Package 'linpk' (Generate Concentration-Time Profiles from Linear PK Systems)
 Generate concentration-time profiles from linear pharmacokinetic (PK)
 systems, possibly with first-order absorption or zero-order infusion,
 possibly with one or more peripheral compartments, and possibly under
 steady-state conditions. Single or multiple doses may be specified.
 Secondary (derived) PK parameters (e.g. Cmax, Ctrough, AUC, Tmax, half-life,
 etc.) are computed.

Package: r-cran-linprog
Architecture: all
Version: 0.9-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-linprog_0.9-4-1.ca2004.1_all.deb
Size: 64408
MD5sum: a99fca98fcbacae345130b2efa15c389
SHA1: 7cd52fc422ed94b8d6ac518c88b3696c5d73d342
SHA256: 93c14890a02ddabeebe645525fd4fa4a372ca481b22bf611f7ad71427083d40a
SHA512: d579afd1ea8e252be60d0a40d9015fd1795e0edbe6f794d33231f12b5a5ae27e237c1b8025ceca3cea4eebeb7dbfd217fc13292deb174c98e242eed2950c2b99
Homepage: https://cran.r-project.org/package=linprog
Description: CRAN Package 'linprog' (Linear Programming / Optimization)
 Can be used to solve Linear Programming / Linear Optimization problems by
 using the simplex algorithm.

Package: r-cran-linreginteractive
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpanel, r-cran-xtable
Suggests: r-cran-aer, r-cran-gam, r-cran-mgcv, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-linreginteractive_0.3-4-1.ca2004.1_all.deb
Size: 509656
MD5sum: 198ddf34d54d3ddb80bcda5f840eb864
SHA1: ae9dc2d1a708393cb980b85b2b97446b6b83cdc1
SHA256: f969bf865c9d57db91c9e9da79936f094c10a40f943feaf867e3777affe41b45
SHA512: 33c22f35b77553b8850b93f7ca9c4779686313b5f05ffe2f8f3484ad76594deb4b6342f3d7a2e6473c8e702d4962c9cd80b26ab7614d6d568fad52b262b41270
Homepage: https://cran.r-project.org/package=LinRegInteractive
Description: CRAN Package 'LinRegInteractive' (Interactive Interpretation of Linear Regression Models)
 Interactive visualization of effects, response functions and marginal
 effects for different kinds of regression models. In this version linear
 regression models, generalized linear models, generalized additive models
 and linear mixed-effects models are supported.  Major features are the
 interactive approach and the handling of the effects of categorical
 covariates: if two or more factors are used as covariates every combination
 of the levels of each factor is treated separately. The automatic
 calculation of marginal effects and a number of possibilities to customize
 the graphical output are useful features as well.

Package: r-cran-linselect
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-elasticnet, r-cran-mass, r-cran-randomforest, r-cran-pls, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-linselect_1.1.5-1.ca2004.1_all.deb
Size: 382588
MD5sum: e756a32e061143321131988e442b6996
SHA1: c5e6f633bcbb74e421fb0a4dbfaeedca0b186de4
SHA256: efa59bebc9d5e864176a7cedf81bcb8efcf52adc08121c43d1fe1e1926f30e45
SHA512: 02f85eef6d0bdb6929d64ddff718cc5e6e1f5af94ff0954d02bbcd8f8f15bbad289b31ba3656a562514084554949de0b31602710ef54eea1f330d06f1cbfd9ef
Homepage: https://cran.r-project.org/package=LINselect
Description: CRAN Package 'LINselect' (Selection of Linear Estimators)
 Estimate the mean of a Gaussian vector, by choosing among a large collection
 of estimators, following the method developed by Y. Baraud, C. Giraud and S.
 Huet (2014) <doi:10.1214/13-AIHP539>.  In particular it solves the problem
 of variable selection by choosing the best predictor among predictors
 emanating from different methods as lasso, elastic-net, adaptive lasso, pls,
 randomForest. Moreover, it can be applied for choosing the tuning parameter
 in a Gauss-lasso procedure.

Package: r-cran-lintr
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1725
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cli, r-cran-codetools, r-cran-digest, r-cran-glue, r-cran-knitr, r-cran-rex, r-cran-xml2, r-cran-xmlparsedata
Suggests: r-cran-bookdown, r-cran-cyclocomp, r-cran-jsonlite, r-cran-patrick, r-cran-rlang, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-tibble, r-cran-tufte, r-cran-withr
Filename: pool/dists/focal/main/r-cran-lintr_3.2.0-1.ca2004.1_all.deb
Size: 1324960
MD5sum: 33458519250f63cbc51b8c1c4128210b
SHA1: 4844bd1fecced78c377fff6d567e70b3d6ab7a6b
SHA256: 0583a869861338ebaf6a248c60b7a0fbaa8b7ba789abf04326277c0b60482bb5
SHA512: 5adcc096cd3b932ee2824213297ac8e9a7a8a5c9c576d582ac3f36408704e58a87b184475f8e00354344e71b05a8370bf9fd9f348ce8542e36ad5b203b00fd18
Homepage: https://cran.r-project.org/package=lintr
Description: CRAN Package 'lintr' (A 'Linter' for R Code)
 Checks adherence to a given style, syntax errors and possible semantic
 issues.  Supports on the fly checking of R code edited with 'RStudio IDE',
 'Emacs', 'Vim', 'Sublime Text', 'Atom' and 'Visual Studio Code'.

Package: r-cran-lionfish
Architecture: all
Version: 1.0.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-tourr, r-cran-data.table
Suggests: r-cran-ggplot2, r-cran-viridis, r-cran-randomforest, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-colorspace, r-cran-ggbeeswarm, r-cran-patchwork, r-cran-mvtnorm, r-cran-tidyverse, r-cran-dplyr, r-cran-gridextra, r-cran-flexclust
Filename: pool/dists/focal/main/r-cran-lionfish_1.0.27-1.ca2004.1_all.deb
Size: 191424
MD5sum: 339613a4c28e85e83259bebe1bc48c5f
SHA1: c211058e85b5a44e14e3a33f98e289ce512e8b62
SHA256: f4e8a9a370a5aa723c2b7f5d076155ba7f01803b87851787c6a181710516c7d5
SHA512: 6753ba0b9b57ad7a126393eaf9013a744ccfc191f8b9bc51e4b0643637e080e459545b07c29b8e652ce179d43c2e421de49e30ea82491d9054d66cc1afac28de
Homepage: https://cran.r-project.org/package=lionfish
Description: CRAN Package 'lionfish' (Interactive 'tourr' Using 'python')
 Extends the functionality of the 'tourr' package by an interactive graphical
 user interface. The interactivity allows users to effortlessly refine their
 'tourr' results by manual intervention, which allows for integration of
 expert knowledge and aids the interpretation of results. For more
 information on 'tourr' see Wickham et. al (2011) <doi:10.18637/jss.v040.i02>
 or <https://github.com/ggobi/tourr>.

Package: r-cran-lipidmapsr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-lipidmapsr_1.0.4-1.ca2004.1_all.deb
Size: 18416
MD5sum: a4199f71d7317d385c5666d5f003fa2b
SHA1: 7f2985f7f06bff9b4abe5e67e71d72699f4ac953
SHA256: b1a3249dcb71ae888683616de3b85764d9b647ba443ee8e939074508b9a2aaac
SHA512: 1019698882cdb452ad9ff66866a616d03d22347dbbdee9ac2a44bb47724fa3eba08aa278fe3d6f94ab5e972c1a6d6f5d61c15cd115c354853166444e7ab73207
Homepage: https://cran.r-project.org/package=lipidmapsR
Description: CRAN Package 'lipidmapsR' (Lipid Maps Rest Service)
 Lipid Maps Rest service. Researchers can access the Lipid Maps Rest service
 programmatically and conveniently integrate it into the current workflow or
 packages.

Package: r-cran-lipidomer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biocmanager, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-bioc-limma, r-cran-reshape2, r-cran-shadowtext, r-cran-stringr, r-cran-tableone, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-lipidomer_0.1.2-1.ca2004.1_all.deb
Size: 320392
MD5sum: 3bed93156bf7ce8f2a647cb06c63a956
SHA1: 3cc8dd3a11e067a17f32de416d3afb73ac2608b1
SHA256: 1d425c269031b88b88e18ffb6becfc4f4964cebc61fd42483c15f68014485694
SHA512: e8605b62b60ec055c4253ace6b67e093708f2cd76444ab15964a9b080345284316546a59f099647b235f7206451d99427309fbd67a6688050da3d4bb6dce0dac
Homepage: https://cran.r-project.org/package=lipidomeR
Description: CRAN Package 'lipidomeR' (Integrative Visualizations of the Lipidome)
 Create lipidome-wide heatmaps of statistics with the 'lipidomeR'.  The
 'lipidomeR' provides a streamlined pipeline for the systematic
 interpretation of the lipidome through publication-ready visualizations of
 regression models fitted on lipidomics data.  With 'lipidomeR', associations
 between covariates and the lipidome can be interpreted systematically and
 intuitively through heatmaps, where lipids are categorized by the lipid
 class and are presented on two-dimensional maps organized by the lipid size
 and level of saturation.  This way, the 'lipidomeR' helps you gain an
 immediate understanding of the multivariate patterns in the lipidome already
 at first glance.  You can create lipidome-wide heatmaps of statistical
 associations, changes, differences, variation, or other lipid-specific
 values.  The heatmaps are provided with publication-ready quality and the
 results behind the visualizations are based on rigorous statistical models.

Package: r-cran-lipidomicsr
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyverse, r-cran-broom, r-cran-car, r-cran-ggiraph, r-cran-rcompanion, r-cran-tidyr, r-cran-cowplot, r-cran-dplyr, r-cran-fmsb, r-cran-ggplot2, r-cran-ggplotify, r-cran-ggrepel, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-scales, r-cran-stringr, r-cran-tidyselect, r-cran-ggforce, r-cran-ggsci
Filename: pool/dists/focal/main/r-cran-lipidomicsr_0.3.6-1.ca2004.1_all.deb
Size: 150124
MD5sum: b5d44abae5d45222bb37a34a265114bb
SHA1: 69aa96f8aadd56ee6103041a69ba440bfd1f026b
SHA256: a3e8e53bcd1ebacbdd99ca2de837859d8e414c29f7b782ac747dd420a82e3ae9
SHA512: 7f72eab47fc3c6039f7d1859a45c12f781f60868f9b7d272455290e272551383103a5dbe94c72abc7a4bdda14de8247a05bcb5c20d7dd56d96f6224bd6e4e021
Homepage: https://cran.r-project.org/package=LipidomicsR
Description: CRAN Package 'LipidomicsR' (Elegant Tools for Processing and Visualization of LipidomicsData)
 An elegant tool for processing and visualizing lipidomics data generated by
 mass spectrometry. 'LipidomicsR' simplifies channel and replicate handling
 while providing thorough lipid species annotation. Its visualization
 capabilities encompass principal components analysis plots, heatmaps,
 volcano plots, and radar plots, enabling concise data summarization and
 quality assessment. Additionally, it can generate bar plots and line plots
 to visualize the abundance of each lipid species.

Package: r-cran-lipinskifilters
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3568
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-rcdk, r-cran-ggplot2, r-cran-itertools, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lipinskifilters_1.0.1-1.ca2004.1_all.deb
Size: 872308
MD5sum: 4a19bbc51eb15d03cc61bd623a177176
SHA1: 23359156017a57cca202b6206b7bbf7d8ec49484
SHA256: 8d70d7584a679ae24234bacbe861b749f1f01775fa6f007144ee841f0354a90a
SHA512: 156a6b7d7fb0c7d4af2cb08ea616411e6f231651d0894c8e6c1d4884cbe5f584f65224716c2556f10bb8ed0d90f0a71c1b12b600d33bae62ddf6ff8d64997819
Homepage: https://cran.r-project.org/package=LipinskiFilters
Description: CRAN Package 'LipinskiFilters' (Computes and Visualize Lipinski's Parameters)
 This computes Lipinski Rule of Five parameters and offers visualization for
 drug discovery. It analyzes molecular properties like molecular weight,
 hydrogen bond donors, acceptors, and ALogP, providing histograms and
 pass/fail status plots for efficient compound evaluation, aiding in drug
 development.

Package: r-cran-liqueuer
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-itertools
Suggests: r-cran-testthat, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-liqueuer_0.0.1-1.ca2004.1_all.deb
Size: 134208
MD5sum: 2afc3ada66d3ceab61c162cf6d723d5e
SHA1: 67234115f95bf3168e74e8162fd863464ba09aa7
SHA256: a508f00d7216245e0d20647479943a1b610267c8061d5cd0c39816267e02c361
SHA512: 96872813641c45eb262716b60ccee53e32fbd84cce9c9188b7ce18dde3fa23cd613db5098a12d8ec8222958084068978e90f8adc5825a83db1edb16312c6340d
Homepage: https://cran.r-project.org/package=liqueueR
Description: CRAN Package 'liqueueR' (Implements Queue, PriorityQueue and Stack Classes)
 Provides three classes: Queue, PriorityQueue and Stack. Queue is just a
 "plain vanilla" FIFO queue; PriorityQueue orders items according to
 priority. Stack implements LIFO.

Package: r-cran-lira
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-lira_2.0.1-1.ca2004.1_all.deb
Size: 68236
MD5sum: 5c11a776f13d770062c9c443a40fe55b
SHA1: 60ff0b040d970b5975df3588870a0f88b523af45
SHA256: 4cfa0eab72393fa95c87bbe302cd39ecd82825209dbc7650e7f1628bdb183648
SHA512: adeb28f833f1cb804e1eb97eb885180ca6e98f68fac0144934cf2db6c2e7ac0ac2f20d2cdf2c15ac6e7cc0ac57d2474bb244c303539b3ed2ccf5449ed8234c1f
Homepage: https://cran.r-project.org/package=lira
Description: CRAN Package 'lira' (LInear Regression in Astronomy)
 Performs Bayesian linear regression and forecasting in astronomy. The method
 accounts for heteroscedastic errors in both the independent and the
 dependent variables, intrinsic scatters (in both variables) and scatter
 correlation, time evolution of slopes, normalization, scatters, Malmquist
 and Eddington bias, upper limits and break of linearity. The posterior
 distribution of the regression parameters is sampled with a Gibbs method
 exploiting the JAGS library.

Package: r-cran-lisa
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 647
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lisa_0.1.2-1.ca2004.1_all.deb
Size: 405188
MD5sum: 10ca0ce4135663a197d631ae89ddcaa7
SHA1: 2d5ac41f1636ddb61d11f7551549e52278f4de36
SHA256: eadf2df34c9ce475812adc79d95c016fee58118ab8cd3d161b54d1e6751d855e
SHA512: 07c4c12426eac5b1fab98aec5032a9bccd01d225664d0a0b1b6b27f47905689f3ba0cbefc5cf5a526510620f5a74bab66962f20f6077e22801df915d573436cd
Homepage: https://cran.r-project.org/package=lisa
Description: CRAN Package 'lisa' (Color Palettes from Color Lisa)
 Contains 128 palettes from Color Lisa. All palettes are based on
 masterpieces from the worlds greatest artists. For more information, see
 <http://colorlisa.com/>.

Package: r-cran-lisreltor
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lisreltor_0.3-1.ca2004.1_all.deb
Size: 49800
MD5sum: b266480768de591e34a92aeeff6039d5
SHA1: 51f62ee01b7e8ea92df9022b162c9aad4ee7e802
SHA256: b2a4962c1e4d279336200526f93315bf231e53340a1fdaf03ebe4af33a2e3ff0
SHA512: 6402a678bfa479775ec9d23cde2696dffda0ffaa8db1ed835014e52ab08747050758567f4882fd3fcad1cdcbed0cba481753178ea3748e96cd6842694addae3e
Homepage: https://cran.r-project.org/package=lisrelToR
Description: CRAN Package 'lisrelToR' (Import Output from LISREL into R)
 This is an unofficial package aimed at automating the import of LISREL
 output in R.  This package or its maintainer is not in any way affiliated
 with the creators of LISREL and SSI, Inc.

Package: r-cran-listarray
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-listarray_0.1.1-1.ca2004.1_all.deb
Size: 216608
MD5sum: ca6d5da6e618599afc2425dd5a36c9b5
SHA1: 9b6039c37953a228917f24fb42f17cbdb0a9f226
SHA256: 4f532c54063e34bc87a4bbe0e83de732ba9b5f76abc2acb2c291ad550f170863
SHA512: b7ee4069d73f48e66c84ca8bf636b9a43bd183b2a2f04c52dc3b08aef8e70c0c1ec3e92ccde5941d2c832a30ef0bd08aa070169c1f9b9259917d62d35c5f640f
Homepage: https://cran.r-project.org/package=listArray
Description: CRAN Package 'listArray' (Incomplete Array with Arbitrary R Objects as Indices)
 The aim of the package is to create data objects which allow for accesses
 like x["test"] and x["test","test"].

Package: r-cran-listarrays
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-zeallot, r-cran-rlang, r-cran-tibble, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-listarrays_0.4.0-1.ca2004.1_all.deb
Size: 96696
MD5sum: 99d7415fb177509b4e3134b723d9ce13
SHA1: 85846343fc26434a869eb3891edbf939e7ae3211
SHA256: 7fc28169886f9d28ce26aa7fb099086227c5cfd2fdee74c9957268b1c309356c
SHA512: 5e7fd02156aa6c19571b9e372cc9748bb15b41f839d3d3846a157e5ba6048a4b7154b8f65dfa752c6777c50ee732a7653357ea5580333bb97607d807fb220001
Homepage: https://cran.r-project.org/package=listarrays
Description: CRAN Package 'listarrays' (A Toolbox for Working with R Arrays in a Functional ProgrammingStyle)
 A toolbox for R arrays. Flexibly split, bind, reshape, modify, subset and
 name arrays.

Package: r-cran-listcomp
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-listcomp_0.4.1-1.ca2004.1_all.deb
Size: 19912
MD5sum: e545ac3c3b1e0b56e92160b23e5ea378
SHA1: 98c4fb4ea5c1ba0c07c48d16ebbf26d3b5a11049
SHA256: 8fe8c05841552d2ca443a013e5ca2a9df8375fe79944110d89bb055aba9877c4
SHA512: 76cf14e3889a03d6b74c9e29bd95385461befdd7d99c35efb05c104a627d4545a4fac88465895c667b8bd475f41dd331207577667d99b7b0fc843658e84ee9d3
Homepage: https://cran.r-project.org/package=listcomp
Description: CRAN Package 'listcomp' (List Comprehensions)
 An implementation of list comprehensions as purely syntactic sugar with a
 minor runtime overhead. It constructs nested for-loops and executes the
 byte-compiled loops to collect the results.

Package: r-cran-listcompr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-listcompr_0.4.0-1.ca2004.1_all.deb
Size: 95400
MD5sum: 2bf81c4ee8ee6656da3eb0952f80172c
SHA1: d5688139cfca20e0b4b30c7b13f076fc64ce67ba
SHA256: 47c8ac86301449226c854646b2f27238a0332cd99b1a48a755330a47f25374b6
SHA512: 85e553977824434a2825571d70bef34ec8a218109e87f321181f35f3181d35427b456fc608452a1a32ae1a9ea775bc499182a89ef0a3ecdfbf15378be4123aff
Homepage: https://cran.r-project.org/package=listcompr
Description: CRAN Package 'listcompr' (List Comprehension for R)
 Syntactic shortcuts for creating synthetic lists, vectors, data frames, and
 matrices using list comprehension.

Package: r-cran-listdown
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-rmarkdown, r-cran-tibble, r-cran-yaml, r-cran-fs
Suggests: r-cran-dt, r-cran-ggplot2, r-cran-testthat, r-cran-purrr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-listdown_0.5.7-1.ca2004.1_all.deb
Size: 90764
MD5sum: 92867950cbaed4e57324ba8bdccc34f8
SHA1: 6d0da5b796887e5a1875e343c65983f14e89b792
SHA256: 62b5a054cfa8daaaf11ea7821c140195d7fd4d28be41f4ee4e751c8c4617bacb
SHA512: 3fff3ac360ab1ed4bfc9e80f2d7e8d7aa9db0a9ffb7fdbd7b10ed2f95ceff02afb9e17ff1d00119031fc7cf2943bddcc5f43e2e54b43c7928e43f9a9e72cf0af
Homepage: https://cran.r-project.org/package=listdown
Description: CRAN Package 'listdown' (Create R Markdown from Lists)
 Programmatically create R Markdown documents from lists.

Package: r-cran-listenv
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-r.utils, r-cran-r.rsp, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-listenv_0.9.1-1.ca2004.1_all.deb
Size: 104996
MD5sum: 336e90e2bfc733c5150094ce12971d07
SHA1: 7a6cf113d68c721c406c755299899f2d7e42f38c
SHA256: 25e8ce8c6bd744983433e2b0189c92795156c89a76cb350392d91e8457995f6d
SHA512: 4222a41bb5996732757a51bdada1047e8e85f165dd3c79939e86025896e9a4442fa9de26d31fb112e794486b27db317cef9e7202d0b89222c0ee21969df469df
Homepage: https://cran.r-project.org/package=listenv
Description: CRAN Package 'listenv' (Environments Behaving (Almost) as Lists)
 List environments are environments that have list-like properties.  For
 instance, the elements of a list environment are ordered and can be accessed
 and iterated over using index subsetting, e.g. 'x <- listenv(a = 1, b = 2);
 for (i in seq_along(x)) x[[i]] <- x[[i]] ^ 2; y <- as.list(x)'.

Package: r-cran-listest
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1184
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-listest_2.1-1.ca2004.1_all.deb
Size: 1181008
MD5sum: b3b061cf02849e1217f254981fd3e4d7
SHA1: 215a9db9a55cb84630160f9fe89bf2fcb1a99ff1
SHA256: 95dfed239b5e0b8b3bb954764761a3664842441405908e5974a9ce43a8a1b4ee
SHA512: 4f95367d03cf4d1cafb67a5a11e943c883865f5edd38c17974ecac471dbf6739af6ca274d6e3e24de2cc6782e3ebbec52d00d00f3b0495e42ad3f5d94eb44d64
Homepage: https://cran.r-project.org/package=LIStest
Description: CRAN Package 'LIStest' (Tests of independence based on the Longest IncreasingSubsequence)
 Tests for independence between X and Y computed from a paired sample
 (x1,y1),...(xn,yn) of (X,Y), using one of the following statistics (a) the
 Longest Increasing Subsequence (Ln), (b) JLn, a Jackknife version of Ln or
 (c) JLMn, a Jackknife version of the longest monotonic subsequence. This
 family of tests can be applied under the assumption of continuity of X and
 Y.

Package: r-cran-listr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tidyselect, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-listr_0.1.0-1.ca2004.1_all.deb
Size: 53808
MD5sum: b41c484a796a06c9bc18d3f84a54b08e
SHA1: 301b6bdf1ab66bd5bbadd1bc9a844c2877bbd2f0
SHA256: 02345e4b56262da997935825037c7d53f1bb923fdba28f19c4f8114b9603eaf5
SHA512: 022465500233178062df7bda5e58f3d280115379ec3b190fe7f8884169080706d75565889668a086eafe0a575869a14d0a8a32afb4986f0e1aae3704dadbde54
Homepage: https://cran.r-project.org/package=listr
Description: CRAN Package 'listr' (Tools for Lists)
 Tools for common operations on lists. Provided are short-cuts to operations
 like selecting and merging data stored in lists. The functions in this
 package are designed to be used with pipes.

Package: r-cran-listviewer
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1638
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-shiny
Suggests: r-cran-jsonlite, r-cran-miniui, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-listviewer_4.0.0-1.ca2004.1_all.deb
Size: 415812
MD5sum: 86de6099344356621b73c7dd56ebb15d
SHA1: da654ea48837fe38efef9d6227f2ef8ecb6e0139
SHA256: edc43c11fc4fd50e390cf62e2ce3080e492412ce66949c2f1c73660a11e5de9d
SHA512: 3a521f71b05a1094cd40ff8bbdcc21e80b9935fcb5548704f0c6293a1b4de58e29d1e5315b6a248d6088c5112486e44c8a82f9ef070e82f618fe8746c8232d71
Homepage: https://cran.r-project.org/package=listviewer
Description: CRAN Package 'listviewer' ('htmlwidget' for Interactive Views of R Lists)
 R lists, especially nested lists, can be very difficult to visualize or
 represent. Sometimes 'str()' is not enough, so this suite of htmlwidgets is
 designed to help see, understand, and maybe even modify your R lists.  The
 function 'reactjson()' requires a package 'reactR' that can be installed
 from CRAN or <https://github.com/timelyportfolio/reactR>.

Package: r-cran-listwithdefaults
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-listwithdefaults_1.2.0-1.ca2004.1_all.deb
Size: 10504
MD5sum: b23fddc685046e2a4425666e51bc7457
SHA1: 7cf898687f8b126addb9bedab134f5b006529b8c
SHA256: c028f20752ac44464a2b0b9fb4e588cc7b35f1189fb38d8cc2fdab0403fcd948
SHA512: 89ff33de7980ac252ddb4cbef44bc5e1048576110e5f31d0323260b0e9d36b6aa45ddcdbdfe26c07543527928c0ef442caa537e17fffdf7634a047c2ec8f1ce6
Homepage: https://cran.r-project.org/package=listWithDefaults
Description: CRAN Package 'listWithDefaults' (List with Defaults)
 Provides a function that, as an alternative to base::list, allows default
 values to be inherited from another list.

Package: r-cran-lite
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chandwich, r-cran-exdex, r-cran-revdbayes, r-cran-rust, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lite_1.1.1-1.ca2004.1_all.deb
Size: 235212
MD5sum: 83779413634380da1fa8f68da313b52a
SHA1: 8d4bb7e0d24a364257df47674780b223921fbe13
SHA256: 155efa9b847621035242c8ef577f2540855530473a9c33d859f7da0c2fb04120
SHA512: b73b9da0f78795385575c175b4d323472bfd3d66ff4821faf5fe2d6a7f7d7e2f828c7138b9c621e6867a2432667f81d1c8849878abfe311e9237ec440a614e08
Homepage: https://cran.r-project.org/package=lite
Description: CRAN Package 'lite' (Likelihood-Based Inference for Time Series Extremes)
 Performs likelihood-based inference for stationary time series extremes.
 The general approach follows Fawcett and Walshaw (2012)
 <doi:10.1002/env.2133>.  Marginal extreme value inferences are adjusted for
 cluster dependence in the data using the methodology in Chandler and Bate
 (2007) <doi:10.1093/biomet/asm015>, producing an adjusted log-likelihood for
 the model parameters.  A log-likelihood for the extremal index is produced
 using the K-gaps model of Suveges and Davison (2010)
 <doi:10.1214/09-AOAS292>. These log-likelihoods are combined to make
 inferences about extreme values. Both maximum likelihood and Bayesian
 approaches are available.

Package: r-cran-litedown
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-commonmark, r-cran-xfun
Suggests: r-cran-rbibutils, r-cran-rstudioapi, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-litedown_0.7-1.ca2004.1_all.deb
Size: 368132
MD5sum: 626861c43fdb7d7c86946ec350e8e55b
SHA1: ae9ed387c95dad4e17dc42cdb6af00b3fbb21382
SHA256: 226067d431815c3d00600dfadef80757f1b4b1ea65d57bb487f47e83fb9e26ad
SHA512: bb61551cc28714fc5ebed7f100fd27d1a6491872a5338f66b07e7d8b603691d94f0652bc4e4bcca7d1116aca23fe583cb90544086ddbd1b48d4e36f0beeb8a85
Homepage: https://cran.r-project.org/package=litedown
Description: CRAN Package 'litedown' (A Lightweight Version of R Markdown)
 Render R Markdown to Markdown (without using 'knitr'), and Markdown to
 lightweight HTML or 'LaTeX' documents with the 'commonmark' package (instead
 of 'Pandoc'). Some missing Markdown features in 'commonmark' are also
 supported, such as raw HTML or 'LaTeX' blocks, 'LaTeX' math, superscripts,
 subscripts, footnotes, element attributes, and appendices, but not all
 'Pandoc' Markdown features are (or will be) supported. With additional
 JavaScript and CSS, you can also create HTML slides and articles.  This
 package can be viewed as a trimmed-down version of R Markdown and 'knitr'.
 It does not aim at rich Markdown features or a large variety of output
 formats (the primary formats are HTML and 'LaTeX'). Book and website
 projects of multiple input documents are also supported.

Package: r-cran-liteq
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dbi, r-cran-rappdirs, r-cran-rsqlite
Suggests: r-cran-callr, r-cran-covr, r-cran-processx, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-liteq_1.1.0-1.ca2004.1_all.deb
Size: 81888
MD5sum: c3126fc21f380534fb0ac4e5d14081fe
SHA1: 472bd52c6e92d7336a2e783e6927beb056349a37
SHA256: ade6117160782cbeb0913c7e248deb85d5cffa27afebcce2c9f1409979ce1e88
SHA512: f4f7a2bedb0c743bd839c3fa27b6e58655ebc94ccc3fde3cf0824efa0e18e4e7f8a357d50487edc2c827b1b409195357846d8f177251a38d807cbc7064be14e0
Homepage: https://cran.r-project.org/package=liteq
Description: CRAN Package 'liteq' (Lightweight Portable Message Queue Using 'SQLite')
 Temporary and permanent message queues for R. Built on top of 'SQLite'
 databases. 'SQLite' provides locking, and makes it possible to detect
 crashed consumers. Crashed jobs can be automatically marked as "failed", or
 put in the queue again, potentially a limited number of times.

Package: r-cran-litriddle
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4907
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-stylo, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-litriddle_1.0.0-1.ca2004.1_all.deb
Size: 4786356
MD5sum: ec6fef0e61b5b6d1c871fcc0e1e1f07e
SHA1: 943cf2255e51fb191721fea84e4914826d7931b9
SHA256: 49a027a5d63e0e6b3bffe9f6da37598f212c6188e1c75fd0866d921f6e3fba43
SHA512: 682974d6ebf7aab795da97974ff1b97f84379227759f7d3fe4928d896e3c77f90c32c8ceafab9fcea6981283e9ee2462da392737e7011203307e5fdd22376211
Homepage: https://cran.r-project.org/package=litRiddle
Description: CRAN Package 'litRiddle' (Dataset and Tools to Research the Riddle of Literary Quality)
 Dataset and functions to explore quality of literary novels. The package is
 a part of the Riddle of Literary Quality project, and it contains the data
 of a reader survey about fiction in Dutch, a description of the novels the
 readers rated, and the results of stylistic measurements of the novels. The
 package also contains functions to combine, analyze, and visualize these
 data. For more details, see: Eder M, van Zundert J, Lensink S, van
 Dalen-Oskam K (2022). Replicating The Riddle of Literary Quality: The
 litRiddle package for R. In _Digital Humanities 2022: Conference Abstracts_,
 636-637.

Package: r-cran-litter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2422
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-dplyr, r-cran-tidyselect, r-cran-tidyr, r-cran-fs, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-yaml, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-litter_1.0.0-1.ca2004.1_all.deb
Size: 1598348
MD5sum: 9bd732a40fcaef749fd4367f069f89e4
SHA1: e3b7ed37ffe2a530356969e3336924db0be33d3d
SHA256: 6552df9b3f6ebcbbbbd9f40720112a3816480229b17d92bd41884944bda1b5db
SHA512: 541250d99208feb53c7553d1c078e5cb123533e771e6fde8f4018d57bb9f0ea52da45c5f2c6abe26262787e918b05bdd5d7201f6b942959b5e2705c49bfdcec7
Homepage: https://cran.r-project.org/package=litteR
Description: CRAN Package 'litteR' (Litter Analysis)
 Data sets on various litter types like beach litter, riverain litter,
 floating litter, and seafloor litter are rapidly growing. This package
 offers a simple user interface to analyse these litter data in a consistent
 and reproducible way. It also provides functions to facilitate several kinds
 of litter analysis, e.g., trend analysis, power analysis, and baseline
 analysis. Under the hood, these functions are also used by the user
 interface. See Schulz et al. (2019) <doi:10.1016/j.envpol.2019.02.030> for
 details. MS-Windows users are advised to run 'litteR' in 'RStudio'. See our
 vignette: Installation manual for 'RStudio' and 'litteR'.

Package: r-cran-litterfitter
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-cran-devtools, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-litterfitter_0.1.3-1.ca2004.1_all.deb
Size: 665964
MD5sum: 59f7321e4d396860083553cc7186a58a
SHA1: 30dca9a368ecbf3cc454ec2fd6fd561ad0bfb61a
SHA256: f6e3351375e379d8e2d2d41fae13cafc922cdef756c7d74770905853f9e34979
SHA512: c05fa9a8bb04ffa0959667605b4e7ab83b5937c866051d36c3230b839d8301ff0460271d8b94b3fca46968c108ca086d7e280628c7c7e83880fa0593e0a3acbe
Homepage: https://cran.r-project.org/package=litterfitter
Description: CRAN Package 'litterfitter' (Fit a Collection of Curves to Single Cohort Decomposition Data)
 There is a long tradition of studying the flux of carbon from the biosphere
 to the atmosphere by following a particular cohort of litter (wood, leaves,
 roots, or other organic material) through time.  The resulting data are mass
 remaining and time. A variety of functional forms may be used to fit the
 resulting data. Some work better empirically. Some are better connected to a
 process-based understanding.  Some have a small number of free parameters;
 others have more. This package matches decomposition data to a family of
 these curves using likelihood--based fitting. This package is based on
 published research by Cornwell & Weedon (2013)
 <doi:10.1111/2041-210X.12138>.

Package: r-cran-liureg
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-liureg_1.1.2-1.ca2004.1_all.deb
Size: 110060
MD5sum: 4c58a161088bbca775c1702917baf4a6
SHA1: 235c38b18e12243c2303cc1ac57fbe03ec31cbe8
SHA256: 625f730cf6c7f8cec1f71e2518580b2d6d2d19043c93415eae157c6ef5380d32
SHA512: a9861626958a5ddcf28780b2a6a1ca328634f2432d44f55e673b6a7e28c39aabb005fa24d8b58e9d8ced744740377eb83097878fd390788bb88fbe5691d63aad
Homepage: https://cran.r-project.org/package=liureg
Description: CRAN Package 'liureg' (Liu Regression with Liu Biasing Parameters and Statistics)
 Linear Liu regression coefficient's estimation and testing with different
 Liu related measures such as MSE, R-squared etc.  REFERENCES i.  Akdeniz and
 Kaciranlar (1995) <doi:10.1080/03610929508831585> ii.  Druilhet and Mom
 (2008) <doi:10.1016/j.jmva.2006.06.011> iii. Imdadullah, Aslam, and Saima
 (2017) iv.  Liu (1993) <doi:10.1080/03610929308831027> v.  Liu (2001)
 <doi:10.1016/j.jspi.2010.05.030>.

Package: r-cran-live
Architecture: all
Version: 1.5.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlr, r-cran-dplyr, r-cran-breakdown, r-cran-data.table, r-cran-forestmodel, r-cran-shiny, r-cran-mass, r-cran-ggplot2, r-cran-gower, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-glmnet, r-cran-covr, r-cran-dalex, r-cran-rweka, r-cran-mda, r-cran-modeltools
Filename: pool/dists/focal/main/r-cran-live_1.5.13-1.ca2004.1_all.deb
Size: 198344
MD5sum: f856820cc8b3a6f2facf93cf0e182c32
SHA1: c5f4cda99ef97a0861867cd40bfb581d32bd6dd4
SHA256: 513130097548663c77455a0bbc853c2783e2a372aac3d9b574dd43910ffcc99a
SHA512: e2780408a31bc402e03abaf20d26e191ad21df40a6d53045c8d836cc691c42ebbcbcafa5286272909f933f891784bcb767823f5d83c33d56c07d0e3f64d9f949
Homepage: https://cran.r-project.org/package=live
Description: CRAN Package 'live' (Local Interpretable (Model-Agnostic) Visual Explanations)
 Interpretability of complex machine learning models is a growing concern.
 This package helps to understand key factors that drive the decision made by
 complicated predictive model (so called black box model).  This is achieved
 through local approximations that are either based on additive regression
 like model or CART like model that allows for higher interactions. The
 methodology is based on Tulio Ribeiro, Singh, Guestrin (2016)
 <doi:10.1145/2939672.2939778>.  More details can be found in Staniak, Biecek
 (2018) <doi:10.32614/RJ-2018-072>.

Package: r-cran-livechatr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-jsonlite, r-cran-data.table, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-livechatr_0.1.0-1.ca2004.1_all.deb
Size: 25700
MD5sum: fe65bad496f56f2a9742b89359733e2a
SHA1: e507835017282a0b579ae21d6636ba3f23894961
SHA256: b385363aa2bc88f931cb9f1a469a15f484006acb224f1dafd7e10d2346f7f052
SHA512: 01111ec6407474d4341d785357c772fca982664811431693122d29233c3e7cc2751ae3e1a1e850f112f98edbf7451d16bb1805aa208389df5d01639913835c08
Homepage: https://cran.r-project.org/package=livechatR
Description: CRAN Package 'livechatR' (R Wrapper for LiveChat REST API)
 Provides a wrapper around LiveChat's API. The R functions allow for one to
 extract chat sessions, raw text of chats between agents and customers and
 events.

Package: r-cran-liver
Architecture: all
Version: 1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-class, r-cran-ggplot2
Suggests: r-cran-proc, r-cran-skimr, r-cran-knitr, r-cran-rmarkdown, r-cran-data.table, r-cran-mltools, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-liver_1.19-1.ca2004.1_all.deb
Size: 2463128
MD5sum: bfe21bfafc665cd433be8e6a1ce09854
SHA1: 7530d6048f4069a24ae050967cafc26b65241e9d
SHA256: d1b6a29017759d55b901cd23c7c7b801410dbc293058951765a1c56fd6377040
SHA512: 24e89bf6df93c04b9546a0728632929b64fe286c5501e6975bf999656efa44e83f630f32e6f4b6a99a2dfef6a6a10f820553fc455ad3c011670c02e54eb64e95
Homepage: https://cran.r-project.org/package=liver
Description: CRAN Package 'liver' ("Eating the Liver of Data Science")
 Provides a suite of helper functions and a collection of datasets used in
 the book <https://uncovering-data-science.netlify.app>. It is designed to
 make data science techniques accessible to individuals with minimal coding
 experience. Inspired by an ancient Persian idiom, the package likens this
 learning process to "eating the liver of data science," symbolizing deep and
 immersive engagement with the field.

Package: r-cran-ljexm
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-pdftools, r-cran-rstudioapi, r-cran-webshot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ljexm_1.0.5-1.ca2004.1_all.deb
Size: 24356
MD5sum: 7a9b919d8639d3130dcf625dd14a9202
SHA1: 99ace995e4c846ae690849062638514ba3398ca0
SHA256: c55893f5f187120e8fdffb5cf09005449cfc2161e983d311c9b0e6138cfa397a
SHA512: f34dab4b9ae1ea31af870503039ba5075250cc97dffa579b4fe7352b96574c02305b654dcc1e0c08432aee74485b9652ba930b00c6a58122eaf1b3e6e612c3be
Homepage: https://cran.r-project.org/package=LJexm
Description: CRAN Package 'LJexm' (Extract, Convert, and Merge 'pdf' Files from 'zip' Files)
 Extracts 'zip' files, converts 'Word', 'Excel', and 'html'/'htm' files to
 'pdf' format. 'Word' and 'Excel' conversion uses 'VBScript', while
 'html'/'htm' conversion uses 'webshot' and 'PhantomJS'. Additionally, the
 package merges 'pdf' files into a single document. This package is only
 supported on 'Windows' due to 'VBScript' dependencies.

Package: r-cran-ljmp3converter
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-rstudioapi, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ljmp3converter_1.0.7-1.ca2004.1_all.deb
Size: 27456
MD5sum: 8a552fce490669246f963bf2385d6aa0
SHA1: 73141b7b0a776f2c0b878b83bffb7ec068e40f09
SHA256: 21917a729c824d2dbdc3485ef3fcde276ccd743cb1164fbf85ee4aa622531fad
SHA512: adb51fd04b6c0ae6401692d213157b60b782fe6c40ddd3f4a155fa3c6d1ea8bbf1ac5ddb8df736ad7faf5c0dc5dc3183a29fc279a8e0214746cf6a104dda4ba5
Homepage: https://cran.r-project.org/package=LJmp3converter
Description: CRAN Package 'LJmp3converter' (Convert Video Files to 'mp3' Format, Merge or Trim Audio Filesusing 'FFmpeg')
 Converts video files to 'mp3', merges multiple audio files and trims audio
 files using 'FFmpeg', which is dynamically downloaded to avoid bundling any
 third-party binaries. Users must ensure compliance with the license terms of
 'FFmpeg' when using the package. See
 <https://github.com/BtbN/FFmpeg-Builds/releases/download/latest/ffmpeg-master-latest-win64-gpl.zip>
 for details.

Package: r-cran-lkt
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3451
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sparsem, r-cran-matrix, r-cran-data.table, r-cran-glmnet, r-cran-glmnetutils, r-cran-lme4, r-cran-cluster, r-cran-proc, r-cran-crayon, r-cran-hdinterval
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-caret, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-lkt_1.7.0-1.ca2004.1_all.deb
Size: 2707440
MD5sum: 0d987ac303bfca4ad5c2ddc3e0b1c29c
SHA1: 6a8533119ccae186fbbacb5618d3b5b2b7bedf18
SHA256: 2ea9c97f328b9f04f72825e50422c95918f1aa21c579fae3cb4191335c7eb5f7
SHA512: 804dd17c343e9facb3732e36e83eb4cc6ca7f6992e459508122edd0fa3241aa5ce82ac3bf6b60123182fc57a6dbc852b686ebe6ee61044e311405c24176634a8
Homepage: https://cran.r-project.org/package=LKT
Description: CRAN Package 'LKT' (Logistic Knowledge Tracing)
 Computes Logistic Knowledge Tracing ('LKT') which is a general method for
 tracking human learning in an educational software system. Please see
 Pavlik, Eglington, and Harrel-Williams (2021)
 <https://ieeexplore.ieee.org/document/9616435>. 'LKT' is a method to compute
 features of student data that are used as predictors of subsequent
 performance. 'LKT' allows great flexibility in the choice of predictive
 components and features computed for these predictive components. The system
 is built on top of 'LiblineaR', which enables extremely fast solutions
 compared to base glm() in R.

Package: r-cran-llama
Architecture: all
Version: 0.10.1-1.ca2004.2
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlr, r-cran-rjava, r-cran-parallelmap, r-cran-ggplot2, r-cran-checkmate, r-cran-bbmisc, r-cran-plyr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-paramhelpers
Filename: pool/dists/focal/main/r-cran-llama_0.10.1-1.ca2004.2_all.deb
Size: 1941656
MD5sum: 56d39e49babc0fe9c395fe3a30db31e3
SHA1: 023bdf2e397b2937e30fdfb09afd1a6d21985d59
SHA256: 0573204cbf6bbca0a3fa635be18318c4a72f65179cc21d935a100ae02b72c7c3
SHA512: d1c1a0e700afaf33e517df0b6119900ecddd6ed22a264717f1301f6751b0c2c20ff73f3cc10f156e665c3afb2ead803e56374abcc8dd6f660ab2a37b2f5d3333
Homepage: https://cran.r-project.org/package=llama
Description: CRAN Package 'llama' (Leveraging Learning to Automatically Manage Algorithms)
 Provides functionality to train and evaluate algorithm selection models for
 portfolios.

Package: r-cran-llbayesireg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stanheaders, r-cran-rcpp, r-cran-llogistic, r-cran-rstan, r-cran-mcmcpack, r-cran-mass, r-cran-coda
Filename: pool/dists/focal/main/r-cran-llbayesireg_1.0.0-1.ca2004.1_all.deb
Size: 48612
MD5sum: 23a7c8d67cf3fbec3de0a61889da6f96
SHA1: 865ee56d36ece4298bab82eb5add4469b9eebb20
SHA256: 2e96a7837c2851170d44b292d8607bdaa0ccbb581b7790877b334341f83881de
SHA512: 48d324dd5098e11183043d6e2970251470c99062268df8cb849a74b5a3cdfdd0c9d95760498ec7b0403c6732851d12d767772af5660905af30f975255ec57e9b
Homepage: https://cran.r-project.org/package=llbayesireg
Description: CRAN Package 'llbayesireg' (The L-Logistic Bayesian Regression)
 R functions and data sets for the work Paz, R.F., Balakrishnan, N and Bazán,
 J.L. (2018). L-logistic regression models: Prior sensitivity analysis,
 robustness to outliers and applications. Brazilian Journal of Probability
 and Statistics,
 <https://www.imstat.org/wp-content/uploads/2018/05/BJPS397.pdf>.

Package: r-cran-lle
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d, r-cran-mass, r-cran-snowfall
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-lle_1.1-1.ca2004.1_all.deb
Size: 187700
MD5sum: c52e5291e594e19f6285e405eda9e6be
SHA1: ce9c077f4381744adc80a1e2fea04c0c8554783e
SHA256: b7a78fd6ad0fbcb495d080464642759fcc64112ec84827efab5106c23b643b35
SHA512: 9ba24262ce0c55d04d0540e95aee74b232fea106c3a374049aec964cc8e2c8569296e9435d80f141763575a98fa8edea007d3c7a612f07342d59535f51e94d94
Homepage: https://cran.r-project.org/package=lle
Description: CRAN Package 'lle' (Locally linear embedding)
 LLE is a non-linear algorithm for mapping high-dimensional data into a lower
 dimensional (intrinsic) space. This package provides the main functions to
 performs the LLE alogrithm including some enhancements like subset
 selection, calculation of the intrinsic dimension etc.

Package: r-cran-llic
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vgam, r-cran-dplyr, r-cran-laplacesdemon, r-cran-relliptical, r-cran-ggplot2, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-llic_3.0.0-1.ca2004.1_all.deb
Size: 19372
MD5sum: 808060539f98018558a156507c864005
SHA1: a895794e9e87223a2fcbfe932daa89bd2b74804d
SHA256: e837c4bb43843315f01c0e41d81187d9d433febdc8338bda4913910a9a096022
SHA512: 5c207bbab2ef0e15b787a78cbb3f28d7430981b6d6b8c583b1d665a039ffa2154c62ab7a5b3f785a9a0a5c0759ef52456f454b051cdda7f31a903fa9d3de0b33
Homepage: https://cran.r-project.org/package=LLIC
Description: CRAN Package 'LLIC' (Likelihood Criterion (LIC) Analysis for Laplace Regression Model)
 Performs likelihood criterion analysis using the Laplace regression model to
 determine its optimal subset of variables. The methodology is based on Guo
 et al. (2023), LIC criterion for optimal subset selection in distributed
 interval estimation <doi:10.1080/02331888.2020.1823979>.

Package: r-cran-lllcrc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-combinat, r-cran-vgam, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-lllcrc_1.2-1.ca2004.1_all.deb
Size: 244984
MD5sum: 2cf55463ae8b98e3da5702f1094a22d7
SHA1: ff4a83f1d9afc8cb9b512b818df1068503a09136
SHA256: 089e44277030157e98147d22004309345f994e8babeb286b1d6fd0e30b52c9ce
SHA512: b9ed76b71901bdaef968cd45712b3fdbcd417c9f9499e37d1f64f13aae96e566f523bd61c10b7722732b1b1d31436d88c772b354d37326ca0e293cc74245d1a4
Homepage: https://cran.r-project.org/package=lllcrc
Description: CRAN Package 'lllcrc' (Local Log-linear Models for Capture-Recapture)
 Applies local log-linear capture-recapture models (LLLMs) for closed
 populations, as described in the doctoral thesis of Zachary Kurtz.  The
 method is relevant when there are 3-5 capture occasions, with auxiliary
 covariates available for all capture occasions.  As part of estimating the
 number of missing population units, the method estimates the "rate of
 missingness" as it varies over the covariate space.  In addition,
 user-friendly functions are provided to recreate (approximately) the method
 of Zwane and van der Heijden (2004), which applied the VGAM package in a way
 that is closely related to LLLMs.

Package: r-cran-llm
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-stringr, r-cran-rweka, r-cran-survey, r-cran-reghelper, r-cran-scales
Suggests: r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-llm_1.1.0-1.ca2004.1_all.deb
Size: 73012
MD5sum: 8c63245d3ac6717172d919de3ffb816c
SHA1: f0f81216f0cc70a0c601cd869ffe2f843ca77dc4
SHA256: 9c452ab5a40ae03d03199824aadeccaeb90157f213561bfecc88430118c40461
SHA512: 7a78e3d528dae8f3178a6e78ebbfd80e76aa232f79e661030ff2c2d57e00384c882324c927f382ef90c8a61c22d4d904c2f8fb8acdc780651ea332320eee4da8
Homepage: https://cran.r-project.org/package=LLM
Description: CRAN Package 'LLM' (Logit Leaf Model Classifier for Binary Classification)
 Fits the Logit Leaf Model, makes predictions and visualizes the output. (De
 Caigny et al., (2018) <DOI:10.1016/j.ejor.2018.02.009>).

Package: r-cran-llmagentr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1638
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plotly, r-cran-dbi, r-cran-rsqlite, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-officer, r-cran-purrr, r-cran-timetk, r-cran-pdftools, r-cran-parsnip, r-cran-recipes, r-cran-workflows, r-cran-rsample, r-cran-modeltime.ensemble, r-cran-modeltime, r-cran-xml2
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-jsonlite, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-ggplot2, r-cran-usethis, r-cran-prophet, r-cran-forcats, r-cran-kernlab, r-cran-xgboost, r-cran-xfun, r-cran-modeltime.resample, r-cran-tidymodels, r-cran-tibble, r-cran-lubridate, r-cran-tesseract, r-cran-rvest, r-cran-fastdummies, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-llmagentr_0.3.0-1.ca2004.1_all.deb
Size: 1612924
MD5sum: f40127763655bebd078a11fef8d8f866
SHA1: 252edc9868f3e81d306186aa32b82f538880e78c
SHA256: c17345ddbe9f9b67c524556cb772ea06d1e9e6d36adc193484cc3f892a139cf4
SHA512: cf497bdae3b4aef2c16b8c756d467945962d2860b78ec1f96197ae68a794012091aa369b9f5ef6f2e727465e1e9f8d1ca8a088d14cbe1b9269f61eb34692d9cc
Homepage: https://cran.r-project.org/package=LLMAgentR
Description: CRAN Package 'LLMAgentR' (Language Model Agents in R for AI Workflows and Research)
 Provides modular, graph-based agents powered by large language models (LLMs)
 for intelligent task execution in R.  Supports structured workflows for
 tasks such as forecasting, data visualization, feature engineering, data
 wrangling, data cleaning, 'SQL', code generation, weather reporting, and
 research-driven question answering.  Each agent performs iterative
 reasoning: recommending steps, generating R code, executing, debugging, and
 explaining results.  Includes built-in support for packages such as
 'tidymodels', 'modeltime', 'plotly', 'ggplot2', and 'prophet'. Designed for
 analysts, developers, and teams building intelligent, reproducible AI
 workflows in R.  Compatible with LLM providers such as 'OpenAI',
 'Anthropic', 'Groq', and 'Ollama'. Inspired by the Python package
 'langagent'.

Package: r-cran-llmr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-memoise, r-cran-future, r-cran-future.apply, r-cran-tibble, r-cran-base64enc, r-cran-mime, r-cran-glue
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-httptest2, r-cran-progressr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-llmr_0.4.2-1.ca2004.1_all.deb
Size: 385180
MD5sum: bb522eb0ba219ae7362097ebae62f1c3
SHA1: 573e13a70531f771b785d218525fa2815cc62333
SHA256: a6a21f7aa08bca7b6c2ab548870931bcf25bf2c4b180bf47762eb2f81811bb40
SHA512: c9754aba7faaaea4cc90cfcf28a024d7b9ba693ab3200e4c9f38121c72e494ae1439bc99e9924ffcd6ebf16fbce4c8b1fb66621530886829c65f92a00bf1db28
Homepage: https://cran.r-project.org/package=LLMR
Description: CRAN Package 'LLMR' (Interface for Large Language Model APIs in R)
 Provides a unified interface to interact with multiple Large Language Model
 (LLM) APIs. The package supports text generation, embeddings,
 parallelization, as well as tidyverse integration.  Users can switch between
 different LLM providers seamlessly within R workflows, or call multiple
 models in parallel. The package enables creation of LLM agents for automated
 tasks and provides consistent error handling across all supported APIs. APIs
 include 'OpenAI' (see <https://platform.openai.com/docs/overview> for
 details), 'Anthropic' (see
 <https://docs.anthropic.com/en/api/getting-started> for details), 'Groq'
 (see <https://console.groq.com/docs/api-reference> for details), 'Together
 AI' (see <https://docs.together.ai/docs/quickstart> for details), 'DeepSeek'
 (see <https://api-docs.deepseek.com> for details), 'Gemini' (see
 <https://aistudio.google.com> for details), and 'Voyage AI' (see
 <https://docs.voyageai.com/docs/introduction> for details).

Package: r-cran-llogistic
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-llogistic_1.0.3-1.ca2004.1_all.deb
Size: 13916
MD5sum: 51793b6451e55f82e7819ebb3eb21dd4
SHA1: 6203c8745fbf6915bdee88ae86e25b1ebfd7302f
SHA256: d0669b4e74be072f703ea502dea94df127d9c9aa120a24c7ca7725827a50a88d
SHA512: b0d271f9bd9d2b035e16dd24de993953b74be6c3e3e9e428243c70c40853bd4abe19f18c663b33efa346e011ba9f7154a439f4365328b14dd14d94c36951261c
Homepage: https://cran.r-project.org/package=llogistic
Description: CRAN Package 'llogistic' (The L-Logistic Distribution)
 Density, distribution function, quantile function and random generation for
 the L-Logistic distribution with parameters m and phi. The parameter m is
 the median of the distribution.

Package: r-cran-llsr
Architecture: all
Version: 0.0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve, r-cran-openxlsx, r-cran-digest, r-cran-svdialogs, r-cran-minpack.lm, r-cran-ggplot2, r-cran-svglite, r-cran-dplyr, r-cran-nleqslv, r-cran-crayon
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-llsr_0.0.3.1-1.ca2004.1_all.deb
Size: 461148
MD5sum: 65fa9eeb35de3d5611a1f70077e27f2c
SHA1: 80b274c806ae4abf211f961dda64d91af967d224
SHA256: 427ddce55030ef397742fc2c4775ec11e12c232f27b4f52e6ca343950584ce11
SHA512: 8bba4922d6a79851ce4ec398d202d92cf497c493c6ed280c931831b7e2843984f1e74999afb717f8cf8cd84122269c12ea1b3f243af00c7a7354d11ecd165195
Homepage: https://cran.r-project.org/package=LLSR
Description: CRAN Package 'LLSR' (Data Analysis of Liquid-Liquid Systems using R)
 Originally design to characterise Aqueous Two Phase Systems, LLSR provide a
 simple way to analyse experimental data and obtain phase diagram parameters,
 among other properties, systematically. The package will include (every
 other update) new functions in order to comprise useful tools in
 liquid-liquid extraction research.

Package: r-cran-lm.beta
Architecture: all
Version: 1.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xtable
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-lm.beta_1.7-2-1.ca2004.1_all.deb
Size: 249268
MD5sum: a92acdb8db2cd51177c716c0314e1c79
SHA1: 03531438f95c289df7ab2c80e9fa360ef83e6893
SHA256: 734d0db51ca4fb9c7d685f86f725b620f43521d335ec2a1d557b3af3968ac1f2
SHA512: 04751ed4eba89774cedeb669599578dacdb87357c4c12b79fee371906edcd4cbf4fa3c9ae0bfc2e237d5a8e16169c81e39b65ca3b8ee776364a04900601a912f
Homepage: https://cran.r-project.org/package=lm.beta
Description: CRAN Package 'lm.beta' (Add Standardized Regression Coefficients to Linear-Model-Objects)
 Adds standardized regression coefficients to objects created by 'lm'. Also
 extends the S3 methods 'print', 'summary' and 'coef' with additional boolean
 argument 'standardized' and provides 'xtable'-support.

Package: r-cran-lmboot
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd
Filename: pool/dists/focal/main/r-cran-lmboot_0.0.1-1.ca2004.1_all.deb
Size: 71916
MD5sum: ab8d67b63d921b04005a6cd2321f44d2
SHA1: 43fb31492aa3e1f636b91d6b8fa539526f94778a
SHA256: 6c45cad4cd9167e48f99091d698585ae81bfe2852de130bec6db7a8f4ba58d84
SHA512: d8fdfeee634ad5e3939857e98f2bfa159110e29c4a26bc06511cef58ed75485697df1723a8409047ff883834762cf81147832d3c4d6de45b0364ec366b3bd21f
Homepage: https://cran.r-project.org/package=lmboot
Description: CRAN Package 'lmboot' (Bootstrap in Linear Models)
 Various efficient and robust bootstrap methods are implemented for linear
 models with least squares estimation.  Functions within this package allow
 users to create bootstrap sampling distributions for model parameters, test
 hypotheses about parameters, and visualize the bootstrap sampling or null
 distributions.  Methods implemented for linear models include the wild
 bootstrap by Wu (1986) <doi:10.1214/aos/1176350142>, the residual and paired
 bootstraps by Efron (1979, ISBN:978-1-4612-4380-9), the delete-1 jackknife
 by Quenouille (1956) <doi:10.2307/2332914>, and the Bayesian bootstrap by
 Rubin (1981) <doi:10.1214/aos/1176345338>.

Package: r-cran-lmd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-emd, r-cran-ggplot2, r-cran-patchwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggformula, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmd_1.0.0-1.ca2004.1_all.deb
Size: 353800
MD5sum: 6a0a59c171ad8b8c397b789a78e1f0db
SHA1: e9c47d22283d1aec01fcf60b25c82dbf529075f9
SHA256: 8a39c81c9bd2a074a04335843f6d4ad46f139901054cd15f739d2e7711fdec52
SHA512: 28cf09dfa6d20a8a8ce0c5b31ce6dffe98c0c6ac94437c1a3d09c739950bd685d3762517db37d10eb85bba2ca59df0c175bc5f74582735dbeed1165404dcd3ac
Homepage: https://cran.r-project.org/package=LMD
Description: CRAN Package 'LMD' (A Self-Adaptive Approach for Demodulating Multi-Component Signal)
 Local Mean Decomposition is an iterative and self-adaptive approach for
 demodulating, processing, and analyzing multi-component amplitude modulated
 and frequency modulated signals. This R package is based on the approach
 suggested by Smith (2005) <doi:10.1098/rsif.2005.0058> and the 'Python'
 library 'PyLMD'.

Package: r-cran-lmdiallel
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-multcomp, r-cran-plyr, r-cran-sommer, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-lmdiallel_1.0.1-1.ca2004.1_all.deb
Size: 244508
MD5sum: e00fa996f8f46e4371da4337b192c502
SHA1: 486b5733502e157c934310b54eeec975b9f47dc9
SHA256: 09d10210f8e8b4b34d8a541de9d1a4e6a3b6fc0a6a1331c492146a36ba8a46d2
SHA512: efb17078ee0ee59fab8252d16c2156b6874f4926b67fb0bfb4e2ea110feb013a010daf42bd37b3d717f915a7e5982afbf9cad1cd27d390758553cfa0e892a177
Homepage: https://cran.r-project.org/package=lmDiallel
Description: CRAN Package 'lmDiallel' (Linear Fixed/Mixed Effects Models for Diallel Crosses)
 Several service functions to be used to analyse datasets obtained from
 diallel experiments within the frame of linear models in R, as described in
 Onofri et al (2020) <DOI:10.1007/s00122-020-03716-8>.

Package: r-cran-lmds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dynutils, r-cran-irlba, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmds_0.1.0-1.ca2004.1_all.deb
Size: 159968
MD5sum: 1112b265e7a2eca5f20b81bcfe47fe83
SHA1: 87771b8322ceda7506c08ee6fd0299de6fe184d3
SHA256: a1af4a0d3f40cc31f222dec9055f6ff2c0c49d5163fd2503086ba0e4622f90bf
SHA512: 66e835ded1ccbd49d685a7ec23055072eae7f3ce336c057c66740228c8a8632d2298bac556fb0929b8b9e0e9c0af05278ca141965eca9d239e59e067fd3e763e
Homepage: https://cran.r-project.org/package=lmds
Description: CRAN Package 'lmds' (Landmark Multi-Dimensional Scaling)
 A fast dimensionality reduction method scaleable to large numbers of
 samples.  Landmark Multi-Dimensional Scaling (LMDS) is an extension of
 classical Torgerson MDS, but rather than calculating a complete distance
 matrix between all pairs of samples, only the distances between a set of
 landmarks and the samples are calculated.

Package: r-cran-lme4breeding
Architecture: all
Version: 1.0.63-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3515
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-crayon
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-orthopolynom, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-lme4breeding_1.0.63-1.ca2004.1_all.deb
Size: 3039276
MD5sum: 31402a61783098c0dee2d88da8d32aba
SHA1: 4c9edee23da60999ecdc36d17133619c90cc3b8d
SHA256: f74edfe56b6257f8055bd0cb6c61e6c057354053a61e527b69675ee4663d037f
SHA512: b6d390f57ac86f1ac9583fcdc7f8c8598c7bfd1a4496c4351fcb61212c3191442661626f68becd5b020b97875748d62748d758c8437e994ee3b6757a27994d1f
Homepage: https://cran.r-project.org/package=lme4breeding
Description: CRAN Package 'lme4breeding' (Relationship-Based Mixed-Effects Models)
 Fit relationship-based and customized mixed-effects models with complex
 variance-covariance structures using the 'lme4' machinery. The core
 computational algorithms are implemented using the 'Eigen' 'C++' library for
 numerical linear algebra and 'RcppEigen' 'glue'.

Package: r-cran-lme4gs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-matrix
Suggests: r-cran-bglr
Filename: pool/dists/focal/main/r-cran-lme4gs_0.1-1.ca2004.1_all.deb
Size: 394624
MD5sum: db054ac88bbe39477f9126d3de0a9003
SHA1: 3d375e9c5951f4f5ab67c7dee7c9d0180ff1e437
SHA256: ae6c1c7fb24b10f52496908b760219d0beefb1592a7887347dba24d75e8cec80
SHA512: 7c7439397b5ef1513f89d85c8937ca1d6543422d13f2d945deaefc06e15b6f2c749471be1f56d66ca8109600621307e3b56c79abeccbd62c85c0d67349295b8e
Homepage: https://cran.r-project.org/package=lme4GS
Description: CRAN Package 'lme4GS' ('lme4' for Genomic Selection)
 Flexible functions that use 'lme4' as computational engine for fitting
 models used in Genomic Selection (GS). GS is a technology used for genetic
 improvement, and it has many advantages over phenotype-based selection.
 There are several statistical models that adequately approach the
 statistical challenges in GS, such as in linear mixed models (LMMs). The
 'lme4' is the standard package for fitting linear and generalized LMMs in
 the R-package, but its use for genetic analysis is limited because it does
 not allow the correlation between individuals or groups of individuals to be
 defined. The 'lme4GS' package is focused on fitting LMMs with covariance
 structures defined by the user, bandwidth selection, and genomic prediction.
 The new package is focused on genomic prediction of the models used in GS
 and can fit LMMs using different variance-covariance matrices. Several
 examples of GS models are presented using this package as well as the
 analysis using real data. For more details see Caamal-Pat et.al. (2021)
 <doi:10.3389/fgene.2021.680569>.

Package: r-cran-lmec
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-lmec_1.0-1.ca2004.1_all.deb
Size: 50516
MD5sum: 57fd4215e1d5cd7b44cee41559b27931
SHA1: f82a7d713e36e733255dc9bf956f4b18001c49b4
SHA256: b070ce16464858d8607cfdba24d0f8b70d0591fff36290a3118f9afb9bf7a27c
SHA512: 512a121e3eb2fa32bc8483fb4f171b69e98b218d6780c0be3169dfb97150bdfb3b3a567b06fcee4fb02ec637e51fd97774f258dc60cf209fe16743651fad9960
Homepage: https://cran.r-project.org/package=lmec
Description: CRAN Package 'lmec' (Linear Mixed-Effects Models with Censored Responses)
 This package includes a function to fit a linear mixed-effects model in the
 formulation described in Laird and Ware (1982) but allowing for censored
 normal responses. In this version, the with-in group errors are assumed
 independent and identically distributed.

Package: r-cran-lmeinfo
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-scdhlm, r-cran-mlmrev, r-cran-cardata, r-cran-lme4, r-cran-matrix, r-cran-merderiv
Filename: pool/dists/focal/main/r-cran-lmeinfo_0.3.2-1.ca2004.1_all.deb
Size: 136728
MD5sum: 548ba4170f9f7d85728b737359d74a1b
SHA1: e3bc349f6c34cdb2b4a0e2f2255af92be9c6196e
SHA256: 16c2429cc0fba6cc188881f65d5ae0247b792c17bf22097fb7483fe91132fb10
SHA512: b1c6b2e401c4ef29c206325efc8e72d2b257b7b40703d201144cdac97bd352595d9f993e2002ede783b538e282311b450c501a85ef373059cae97bae0acbf822
Homepage: https://cran.r-project.org/package=lmeInfo
Description: CRAN Package 'lmeInfo' (Information Matrices for 'lmeStruct' and 'glsStruct' Objects)
 Provides analytic derivatives and information matrices for fitted linear
 mixed effects (lme) models and generalized least squares (gls) models
 estimated using lme() (from package 'nlme') and gls() (from package 'nlme'),
 respectively.  The package includes functions for estimating the sampling
 variance-covariance of variance component parameters using the inverse
 Fisher information. The variance components include the parameters of the
 random effects structure (for lme models), the variance structure, and the
 correlation structure. The expected and average forms of the Fisher
 information matrix are used in the calculations, and models estimated by
 full maximum likelihood or restricted maximum likelihood are supported. The
 package also includes a function for estimating standardized mean difference
 effect sizes (Pustejovsky, Hedges, and Shadish (2014)
 <DOI:10.3102/1076998614547577>) based on fitted lme or gls models.

Package: r-cran-lmerconveniencefunctions
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-lcfdata, r-cran-fields, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-lmerconveniencefunctions_3.0-1.ca2004.1_all.deb
Size: 276608
MD5sum: 7d0954d5d0bc2b38230e0b651422b7c8
SHA1: 4bbed4037bc719d9fd0df46d4499762ce01f7c36
SHA256: a9bbafbb1f73e6c1af131a3e3663b4d2545354bf4443c87736d58699cae10a74
SHA512: a69a61c1bce7ba5022d8e1815a0690c0427103332b7f935fd1c9025d6eb332e5196fa4f0cf6837f4f74687f67559367469df13ab3d274769d07cb18461ad35d0
Homepage: https://cran.r-project.org/package=LMERConvenienceFunctions
Description: CRAN Package 'LMERConvenienceFunctions' (Model Selection and Post-Hoc Analysis for (G)LMER Models)
 The main function of the package is to perform backward selection of fixed
 effects, forward fitting of the random effects, and post-hoc analysis using
 parallel capabilities. Other functionality includes the computation of
 ANOVAs with upper- or lower-bound p-values and R-squared values for each
 model term, model criticism plots, data trimming on model residuals, and
 data visualization. The data to run examples is contained in package
 LCF_data.

Package: r-cran-lmeresampler
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-nlmeu, r-cran-ggplot2, r-cran-ggdist, r-cran-hlmdiag, r-cran-purrr, r-cran-forcats, r-cran-statmod, r-cran-tidyr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-lme4, r-cran-nlme, r-cran-testthat, r-cran-mlmrev, r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-lmeresampler_0.2.4-1.ca2004.1_all.deb
Size: 390536
MD5sum: 8d84afcf6bc2a47b10b3f1213d44deae
SHA1: b624dd7c53c3bb0b516abb2163a296b921fe7a28
SHA256: 225f1b565f369147900887ef8cfb307bc73fa114e6d502bc638da9dceee9ae86
SHA512: 3f4dc50253421b6caf3c508600c450c8720a622554bd867ca57d9729cd429eee1c686588505bea639a9e7f9e8a7957379ad31e02deb18f9140d1ca00cc8468af
Homepage: https://cran.r-project.org/package=lmeresampler
Description: CRAN Package 'lmeresampler' (Bootstrap Methods for Nested Linear Mixed-Effects Models)
 Bootstrap routines for nested linear mixed effects models fit using either
 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the
 parametric, residual, cases, random effect block (REB), and wild bootstrap
 procedures. An overview of these procedures can be found in Van der Leeden
 et al. (2008) <doi: 10.1007/978-0-387-73186-5_11>, Carpenter, Goldstein &
 Rasbash (2003) <doi: 10.1111/1467-9876.00415>, and Chambers & Chandra (2013)
 <doi: 10.1080/10618600.2012.681216>.

Package: r-cran-lmerperm
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lmertest
Filename: pool/dists/focal/main/r-cran-lmerperm_0.1.9-1.ca2004.1_all.deb
Size: 21156
MD5sum: a490aa322d3f12d45b914bc72ce17a2f
SHA1: 91d9daa57a3f78450a3ca599380815b7b9079160
SHA256: e2c11a7faf6b9624145d93aeca8e5d4644090ab4c801e42f5409b04dcd09aba8
SHA512: e39936362f3047bd44783ba37f694f53b356c16527eec4fef5cb79d8f99bd61bc358605d3d0d6ff26c9afc8fe2a74eacb057118bb92e8b94d91910fb1fead1ed
Homepage: https://cran.r-project.org/package=lmerPerm
Description: CRAN Package 'lmerPerm' (Perform Permutation Test on General Linear and Mixed LinearRegression)
 We provide a solution for performing permutation tests on linear and mixed
 linear regression models. It allows users to obtain accurate p-values
 without making distributional assumptions about the data. By generating a
 null distribution of the test statistics through repeated permutations of
 the response variable, permutation tests provide a powerful alternative to
 traditional parameter tests (Holt et al. (2023)
 <doi:10.1007/s10683-023-09799-6>). In this early version, we focus on the
 permutation tests over observed t values of beta coefficients, i.e.original
 t values generated by parameter tests. After generating a null distribution
 of the test statistic through repeated permutations of the response
 variable, each observed t values would be compared to the null distribution
 to generate a p-value. To improve the efficiency,a stop criterion (Anscombe
 (1953) <doi:10.1111/j.2517-6161.1953.tb00121.x>) is adopted to force
 permutation to stop if the estimated standard deviation of the value falls
 below a fraction of the estimated p-value. By doing so, we avoid the need
 for massive calculations in exact permutation methods while still generating
 stable and accurate p-values.

Package: r-cran-lmertest
Architecture: all
Version: 3.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 580
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-numderiv, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-pbkrtest
Filename: pool/dists/focal/main/r-cran-lmertest_3.1-3-1.ca2004.1_all.deb
Size: 523528
MD5sum: 2e2f245c3631ec3f32ebfdf03d34ce5c
SHA1: cfbc8456dc3cb5d3a57e0cb3ac1e20cb9dbfc41c
SHA256: 2c4aba1855288fb34cc4d22c7a87370663349542a57fe74ff3485b27164faf30
SHA512: 7387437f82d7edb482e3d31123bbf50880a3fac39c2a8b27b06f8c816bbd1e60cdc8ca865b2fefb26abd74afd2ed7d32353bbfc357f9338a8456878def9d043a
Homepage: https://cran.r-project.org/package=lmerTest
Description: CRAN Package 'lmerTest' (Tests in Linear Mixed Effects Models)
 Provides p-values in type I, II or III anova and summary tables for lmer
 model fits (cf. lme4) via Satterthwaite's degrees of freedom method. A
 Kenward-Roger method is also available via the pbkrtest package. Model
 selection methods include step, drop1 and anova-like tables for random
 effects (ranova).  Methods for Least-Square means (LS-means) and tests of
 linear contrasts of fixed effects are also available.

Package: r-cran-lmesplines
Architecture: all
Version: 1.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-lmesplines_1.1-12-1.ca2004.1_all.deb
Size: 25892
MD5sum: 7fd445c6d5a171c17ec451f9491e8ed3
SHA1: d6d286430daec7e6a742be235aba55aafb1bafa9
SHA256: 7bcf50bf69ff3d6afc151c21fee3be1630d26192f5a8efcf45f3a23b10088749
SHA512: dc9016ca078d6788c6448e92f6633ceb2f363c92578c5130a8cfdefcbc8aa2efd7a5763c6c6ee99f43bac3897fbfdcc53092e55b06cb1e9477c06d5b88b58d77
Homepage: https://cran.r-project.org/package=lmeSplines
Description: CRAN Package 'lmeSplines' (Add Smoothing Spline Modelling Capability to `nlme`)
 Adds smoothing spline modelling capability to nlme. Fits smoothing spline
 terms in Gaussian linear and nonlinear mixed-effects models.

Package: r-cran-lmf
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lmf_1.2.1-1.ca2004.1_all.deb
Size: 185404
MD5sum: eaaa0ac0126909e0f4b8d5bf886c53be
SHA1: aae273a2195682ba24d2dd2c9144c3231d85735c
SHA256: edc97053cdb5d1116cf42622d32bae39971700dce462123df13df249f4188936
SHA512: 4827808b262b54dc1764c0db583c669a372e7bb180c518cb0c5dcaca1a14994d34535c9abd520965e976a8a69c1da75d7eb39a39034fe9dc1170d18f97869f77
Homepage: https://cran.r-project.org/package=lmf
Description: CRAN Package 'lmf' (Functions for Estimation and Inference of Selection inAge-Structured Populations)
 Provides methods for estimation and statistical inference on directional and
 fluctuating selection in age-structured populations.

Package: r-cran-lmfilter
Architecture: all
Version: 0.1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lmfilter_0.1.3.1-1.ca2004.1_all.deb
Size: 61648
MD5sum: be56bdef3e46e51ac6a9b56597c13dcd
SHA1: 9434e1b2e06ee7409ee29a9e60280ec728fcfab8
SHA256: 5f6b985c35cc7ddf4d50aff2f48239fa4ab8598c99e5010032028c45c598c166
SHA512: cd9ead0866e6ba77d6bb5e35b273862f8f523af022650f32ea8c85fcc750276d3c709d059a8b4edd7c83abec6c49bfd8fc10b701e728c98b6e332e7a4033aeeb
Homepage: https://cran.r-project.org/package=LMfilteR
Description: CRAN Package 'LMfilteR' (Filter Methods for Parameter Estimation in Linear and Non LinearRegression Models)
 We present a method based on filtering algorithms to estimate the parameters
 of linear, i.e. the coefficients and the variance of the error term. The
 proposed algorithms make use of Particle Filters following Ristic, B.,
 Arulampalam, S., Gordon, N. (2004, ISBN: 158053631X) resampling methods.
 Parameters of logistic regression models are also estimated using an
 evolutionary particle filter method.

Package: r-cran-lmfor
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-spatstat, r-cran-magic, r-cran-mass, r-cran-matrix, r-cran-spatstat.geom
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-lmfor_1.6-1.ca2004.1_all.deb
Size: 625668
MD5sum: cf56dd5d79d9cacfaedaaf8af160549d
SHA1: c24b40b5b083189df4638b917c2ee8673cf26069
SHA256: b29e1865a5601ed303ae5fbfbe4ea7ee318796637e9aad82bb82bdcdf9100191
SHA512: c27381f530fb655bdd1a732d4bf296251aea382334ee1ef83a8e198fe0cc02be19961c9914671df5215ace0231052073960b6b37a7957132a9312daf04603c41
Homepage: https://cran.r-project.org/package=lmfor
Description: CRAN Package 'lmfor' (Functions for Forest Biometrics)
 Functions for different purposes related to forest biometrics, including
 illustrative graphics, numerical computation, modeling height-diameter
 relationships, prediction of tree volumes, modelling of diameter
 distributions and estimation off stand density using ITD. Several empirical
 datasets are also included.

Package: r-cran-lmforc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 754
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmforc_1.0.0-1.ca2004.1_all.deb
Size: 428704
MD5sum: aac44d49841812b6e3e9d8f467792e45
SHA1: f40fa3b4b7c1d3ef7056f6dffddf430ed0992efb
SHA256: 206b13a6a822ee1a3676e2498560370c620f824d4e7961ca54c78d8c92eae3ff
SHA512: 2a2928695eef1afa00e607d1a81de168e630a7a05b270f1ad8a1f0eb61c7e7f60a553944e434bb46a6d242e81f2d7379453fed7562a14b16cde2ca77a8ad1340
Homepage: https://cran.r-project.org/package=lmForc
Description: CRAN Package 'lmForc' (Linear Model Forecasting)
 Introduces in-sample, out-of-sample, pseudo out-of-sample, and benchmark
 model forecast tests and a new class for working with forecast data,
 Forecast.

Package: r-cran-lmhelprs
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-semplot
Filename: pool/dists/focal/main/r-cran-lmhelprs_0.4.3-1.ca2004.1_all.deb
Size: 487472
MD5sum: 80712fecb24799080f974be74c621d7d
SHA1: 826a3dd9b96a067a4629e892e21f76261a035526
SHA256: 6ff74c0b0cbc03229c561c41a4928443521f624227cecfd673dc7b1b86186620
SHA512: 82bb9a64e31fe83443c94c2289ebdb93d41f045072ab78f2a9083433a87868cdc3a288338d8c6a88995ddc4eaf79c82b88abd2fb18342d0224753bfc2e6c0412
Homepage: https://cran.r-project.org/package=lmhelprs
Description: CRAN Package 'lmhelprs' (Helper Functions for Linear Model Analysis)
 A collection of helper functions for multiple regression models fitted by
 lm(). Most of them are simple functions for simple tasks which can be done
 with coding, but may not be easy for occasional users of R. Most of the
 tasks addressed are those sometimes needed when using the 'manymome' package
 (Cheung and Cheung, 2023, <doi:10.3758/s13428-023-02224-z>) and 'stdmod'
 package (Cheung, Cheung, Lau, Hui, and Vong, 2022,
 <doi:10.1037/hea0001188>). However, they can also be used in other
 scenarios.

Package: r-cran-lmls
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics
Suggests: r-cran-bookdown, r-cran-coda, r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-mgcv, r-cran-mvtnorm, r-cran-numderiv, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmls_0.1.1-1.ca2004.1_all.deb
Size: 358960
MD5sum: 735861c3afc03aab5fdf338e631a8c51
SHA1: 443d0155b369a08f473c0899bf297cbb6b9b38fe
SHA256: d1e153cbfe9f66f39c068c6a1de90b704094893229163c099a005ed346a43123
SHA512: a314794ca87815ac1c7af67eb4238cb266597cf505f819f86a4c452897915bdf2c9545dc0ffb32e413acb52abf9b352d19fe7d94d99f4be49f51e75a07a9cd3d
Homepage: https://cran.r-project.org/package=lmls
Description: CRAN Package 'lmls' (Gaussian Location-Scale Regression)
 The Gaussian location-scale regression model is a multi-predictor model with
 explanatory variables for the mean (= location) and the standard deviation
 (= scale) of a response variable. This package implements maximum likelihood
 and Markov chain Monte Carlo (MCMC) inference (using algorithms from
 Girolami and Calderhead (2011) <doi:10.1111/j.1467-9868.2010.00765.x> and
 Nesterov (2009) <doi:10.1007/s10107-007-0149-x>), a parametric bootstrap
 algorithm, and diagnostic plots for the model class.

Package: r-cran-lmmot
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lmmot_0.1.4-1.ca2004.1_all.deb
Size: 42928
MD5sum: 864e38269748763e9c5bbdaacbcf1b21
SHA1: 9d16886441c06ee62e7bf2d4fc05ae59cafa7fe5
SHA256: 3976908d5b5dfe611b20343adbfb3d166be26912579e5ba60e882f68b69d5c5f
SHA512: 51c5fae82792db028b63c866ec60e0c2b0c7aa281f3645ee5debcc03c98b909f16a1690ed03a3392ce6530c69835367d946a11467f1e7964364534ee8f19f5c8
Homepage: https://cran.r-project.org/package=lmmot
Description: CRAN Package 'lmmot' (Multiple Ordinal Tobit (MOT) Model)
 Fit right censored Multiple Ordinal Tobit (MOT) model.

Package: r-cran-lmmpar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrixcalc, r-cran-mnormt, r-cran-plyr, r-cran-doparallel, r-cran-bigmemory
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmmpar_0.1.0-1.ca2004.1_all.deb
Size: 16620
MD5sum: 53ca57b818d7a818026a76b7e8924a31
SHA1: 241b9e17a5997318b602fa2ca5c021eb10d17337
SHA256: e8a6cbb3b5efc56a39fec272d8d49a68e0fd10939ed224e1a8a6476e1601808b
SHA512: f06a91c9e01cc77a29c87c0b5643eab71112131957cc01362c1c752f9bade5571615b553e8e9fa120a84074be42a5666f828de4e54c89c7066d0357cc28c871e
Homepage: https://cran.r-project.org/package=lmmpar
Description: CRAN Package 'lmmpar' (Parallel Linear Mixed Model)
 Embarrassingly Parallel Linear Mixed Model calculations spread across local
 cores which repeat until convergence.

Package: r-cran-lmmstar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-lava, r-cran-matrix, r-cran-multcomp, r-cran-nlme, r-cran-numderiv, r-cran-rlang
Suggests: r-cran-asht, r-cran-data.table, r-cran-ggh4x, r-cran-ggpubr, r-cran-lattice, r-cran-mvtnorm, r-cran-lme4, r-cran-lmertest, r-cran-mice, r-cran-nlmeu, r-cran-optimx, r-cran-pbapply, r-cran-psych, r-cran-publish, r-cran-qqtest, r-cran-r.rsp, r-cran-reshape2, r-cran-rmcorr, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmmstar_1.1.0-1.ca2004.1_all.deb
Size: 3592688
MD5sum: c10776e9b513e8eb29fa4373876ea69f
SHA1: 27ba6452f2eb0b2637ad4502b83787857b02ac22
SHA256: 975172707f3313f92bf5c2f71877044adade2142abb4ced2d198b5d1b989b22b
SHA512: eec7d5d3993b16a3d72220caa9a0177e430ff17b9e5beadc9c07bfa431a9a10e6d27231ae7e43a6474a21ae4a0e10bb1c2d6570c2f9c9b9cfc28cc1d478a5a82
Homepage: https://cran.r-project.org/package=LMMstar
Description: CRAN Package 'LMMstar' (Repeated Measurement Models for Discrete Times)
 Companion R package for the course "Statistical analysis of correlated and
 repeated measurements for health science researchers" taught by the section
 of Biostatistics of the University of Copenhagen.  It implements linear
 mixed models where the model for the variance-covariance of the residuals is
 specified via patterns (compound symmetry, toeplitz, unstructured, ...).
 Statistical inference for mean, variance, and correlation parameters is
 performed based on the observed information and a Satterthwaite
 approximation of the degrees of freedom.  Normalized residuals are provided
 to assess model misspecification.  Statistical inference can be performed
 for arbitrary linear or non-linear combination(s) of model coefficients.
 Predictions can be computed conditional to covariates only or also to
 outcome values.

Package: r-cran-lmodel2
Architecture: all
Version: 1.7-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lmodel2_1.7-4-1.ca2004.1_all.deb
Size: 345168
MD5sum: 2373fed30566ad518b2a7a272893f96c
SHA1: 2316dc55edfd21da9db73e99a0e9806b692f62c9
SHA256: 05a0f14b75a62c7c1281cd3a6775d4942236fc782a50a9873f945abfe6becddd
SHA512: 41f6f86dcc76b156bb12144c7f63bf5834fe044e3bf29b5b74d17575b2d8d70d8bedbb5f10b768b6b8914e2ba4b603a40e32467179a6a06c9d2dc07af432adc3
Homepage: https://cran.r-project.org/package=lmodel2
Description: CRAN Package 'lmodel2' (Model II Regression)
 Computes model II simple linear regression using ordinary least squares
 (OLS), major axis (MA), standard major axis (SMA), and ranged major axis
 (RMA).

Package: r-cran-lmofit
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2779
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lmom, r-cran-pracma, r-cran-ggplot2, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lmofit_0.1.7-1.ca2004.1_all.deb
Size: 2456876
MD5sum: 34e763a2f6950f1415c4a4eaa661c601
SHA1: ec12919a2dfa81caf9a63bd3bee5b7e451c586d4
SHA256: b25c984e9eb1ba99538d62d4b441f969e97159af2d4392201a7ae76d3f045b1f
SHA512: 1e389a837835ce7ec966736f9ec8f7256d59281155f78dc77353bc4c3c36292c2664338873a8ebae25ad80bd3631a259fa1a80ec73f1ed18cbb4dac13289d0c5
Homepage: https://cran.r-project.org/package=LMoFit
Description: CRAN Package 'LMoFit' (Advanced L-Moment Fitting of Distributions)
 A complete framework for frequency analysis is provided by 'LMoFit'. It has
 functions related to the determination of sample L-moments as in Hosking,
 J.R.M. (1990) <doi:10.1111/j.2517-6161.1990.tb01775.x>, the fitting of
 various distributions as in Zaghloul et al. (2020)
 <doi:10.1016/j.advwatres.2020.103720> and Hosking, J.R.M. (2019)
 <https://CRAN.R-project.org/package=lmom>, besides plotting and manipulating
 L-space diagrams as in Papalexiou, S.M. & Koutsoyiannis, D. (2016)
 <doi:10.1016/j.advwatres.2016.05.005> for two-shape parametric distributions
 on the L-moment ratio diagram. Additionally, the quantile, probability
 density, and cumulative probability functions of various distributions are
 provided in a user-friendly manner.

Package: r-cran-lmomco
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3605
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-goftest, r-cran-lmoments, r-cran-mass
Suggests: r-cran-copbasic
Filename: pool/dists/focal/main/r-cran-lmomco_2.5.1-1.ca2004.1_all.deb
Size: 3187732
MD5sum: 70a9f6b248f60f4ece93dfc75f0ec17a
SHA1: aa2c9f909e824a2061029187c97a91e6cf02d589
SHA256: 1a4edd6faf23261fcfde1d3f3e74639464c266c15124382704a8b63a51188f50
SHA512: 93a2deed56fd6b59a0dd089df8d22d08e79f42de514807edd5bcfd1dbc81ce74c859d642863164d5f79a0ec5e85bd9e7dfed6c441fcf2c22a9229a3ef1b6a5d4
Homepage: https://cran.r-project.org/package=lmomco
Description: CRAN Package 'lmomco' (L-Moments, Censored L-Moments, Trimmed L-Moments, L-Comoments,and Many Distributions)
 Extensive functions for Lmoments (LMs) and probability-weighted moments
 (PWMs), distribution parameter estimation, LMs for distributions, LM ratio
 diagrams, multivariate Lcomoments, and asymmetric (asy) trimmed LMs (TLMs).
 Maximum likelihood and maximum product spacings estimation are available.
 Right-tail and left-tail LM censoring by threshold or indicator variable are
 available. LMs of residual (resid) and reversed (rev) residual life are
 implemented along with 13 quantile operators for reliability analyses.
 Exact analytical bootstrap estimates of order statistics, LMs, and LM
 var-covars are available.  Harri-Coble Tau34-squared Normality Test is
 available. Distributions with L, TL, and added (+) support for right-tail
 censoring (RC) encompass: Asy Exponential (Exp) Power [L], Asy Triangular
 [L], Cauchy [TL], Eta-Mu [L], Exp. [L], Gamma [L], Generalized (Gen) Exp
 Poisson [L], Gen Extreme Value [L], Gen Lambda [L, TL], Gen Logistic [L],
 Gen Normal [L], Gen Pareto [L+RC, TL], Govindarajulu [L], Gumbel [L], Kappa
 [L], Kappa-Mu [L], Kumaraswamy [L], Laplace [L], Linear Mean Residual
 Quantile Function [L], Normal [L], 3p log-Normal [L], Pearson Type III [L],
 Polynomial Density-Quantile 3 and 4 [L], Rayleigh [L], Rev-Gumbel [L+RC],
 Rice [L], Singh Maddala [L], Slash [TL], 3p Student t [L], Truncated
 Exponential [L], Wakeby [L], and Weibull [L].

Package: r-cran-lmompi
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lmom, r-cran-stringr
Suggests: r-cran-spei
Filename: pool/dists/focal/main/r-cran-lmompi_0.6.6-1.ca2004.1_all.deb
Size: 36420
MD5sum: 31da367b33637eee319c9a7695887f41
SHA1: f0e5de9110e9fbe67dca0f660a64a54854a79490
SHA256: 9c0dc7e3411132571da8db1dbb9a0d33c11e5fe7e5f5090d56a5f3ca3ec412f1
SHA512: 3d6f062c3b2c74a468a6c6b6a721811686bc8634ee6e7f8653fbcfff56c063c160792a57e1e835c24c0d6068663c9863782f6f5b801474e3f97a0be8e02dc69c
Homepage: https://cran.r-project.org/package=lmomPi
Description: CRAN Package 'lmomPi' ((Precipitation) Frequency Analysis and Variability withL-Moments from 'lmom')
 It is an extension of 'lmom' R package: 'pel...()','cdf...()',qua...()'
 function families are lumped and called from one function per each family
 respectively in order to create robust automatic tools to fit data with
 different probability distributions and then to estimate probability values
 and return periods.  The implemented functions are able to manage time
 series with constant and/or missing values without stopping the execution
 with error messages. The package also contains tools to calculate several
 indices based on variability (e.g. 'SPI' , Standardized Precipitation Index,
 see
 <https://climatedataguide.ucar.edu/climate-data/standardized-precipitation-index-spi>
 and <http://spei.csic.es/>) for multiple time series or spatially gridded
 values.

Package: r-cran-lmpdata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-lmpdata_0.2.0-1.ca2004.1_all.deb
Size: 21184
MD5sum: 2697b49f8eda4c6a4e7e2383693b34b5
SHA1: 71d9f3d72e816b41254932c660d4bf59e227889e
SHA256: 6a595256fe384e9df4e01254a9ed1eff27546c6b2314f94e23226a6fb014f9bd
SHA512: 553e0fca952f90d261eeb23d586f96c478b43303c2f10e44c2060117ab31ab87c25a3a20bd76c29e1861b012609c787b0fe3a76089c7c10d540bc6f001b048fe
Homepage: https://cran.r-project.org/package=LMPdata
Description: CRAN Package 'LMPdata' (Easy Import of the EU Labour Market Policy Data)
 European Commission's Labour Market Policy (LMP) database
 (<https://webgate.ec.europa.eu/empl/redisstat/databrowser/explore/all/lmp?lang=en&display=card&sort=category>)
 provides information on labour market interventions, which are government
 actions to help and support the unemployed and other disadvantaged groups in
 the transition from unemployment or inactivity to work. It covers the EU
 countries and Norway. This package provides functions for downloading and
 importing the LMP data and metadata (codelists).

Package: r-cran-lmqcm
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-genefilter, r-bioc-biobase, r-cran-progress
Suggests: r-cran-devtools, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-lmqcm_0.2.4-1.ca2004.1_all.deb
Size: 36716
MD5sum: 7e7660a38f1f902cb5a1a595958f315b
SHA1: b2125a4851afff9c45bce5a3c151686c069153e6
SHA256: 44a5d43364f7ebc11751cd59951fb4d4391951fb26d9c51ca76fb7133d1debd2
SHA512: af834fe23513dde14caef878f9f8d7ae652100f8a1c4ed09ef89dd9121d02f6d6a0fadd792c1ff396aa86e7ffa63bb9b74e66e07bd8673a4d94f8874baa46e14
Homepage: https://cran.r-project.org/package=lmQCM
Description: CRAN Package 'lmQCM' (An Algorithm for Gene Co-Expression Analysis)
 Implementation based on Zhang, Jie & Huang, Kun (2014)
 <doi:10.4137/CIN.S14021> Normalized ImQCM: An Algorithm for Detecting Weak
 Quasi-Cliques in Weighted Graph with Applications in Gene Co-Expression
 Module Discovery in Cancers. Cancer informatics, 13, CIN-S14021.

Package: r-cran-lmreg
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lmreg_1.2-1.ca2004.1_all.deb
Size: 179808
MD5sum: 1e4db53904415a3859db9cbd34c0590d
SHA1: f1b1fa94122702dc0b6091d47fb78d2050994c8d
SHA256: 5908b8a3426e5ce4c782dc2c8044684ec1c5ad3c890537970ab1adeab6473ab0
SHA512: 38577184cd941c2aaf8c6f6858ea6550f8c565e0aba62f549d4c2050ee32d1c77e6d66ebf35974bbbcc812a4a21577233601217aefafcb2019bc76bc12bcf785
Homepage: https://cran.r-project.org/package=lmreg
Description: CRAN Package 'lmreg' (Data and Functions Used in Linear Models and Regression with R:An Integrated Approach)
 Data files and a few functions used in the book 'Linear Models and
 Regression with R: An Integrated Approach' by Debasis Sengupta and Sreenivas
 Rao Jammalamadaka (2019).

Package: r-cran-lmridge
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lmridge_1.2.2-1.ca2004.1_all.deb
Size: 156684
MD5sum: 088f1f472b27cfbdbe5dc5b2375841ab
SHA1: 4319cfed5cbe3558cb6d2f531c2d7e8ad0936bdd
SHA256: 9d883a8cdb32a3f832d64f9fa8051c5407b0b8f2172b03a5c2c2ac740ebfe3d4
SHA512: 4af3c05b49c21691acfc5c4ace35d8b33da11626ad8bf68b5d5a644a4d34f79767f6d9597490f2e7de560f3818e500a9ae8c4146f04e696425bbc3aca8862216
Homepage: https://cran.r-project.org/package=lmridge
Description: CRAN Package 'lmridge' (Linear Ridge Regression with Ridge Penalty and Ridge Statistics)
 Linear ridge regression coefficient's estimation and testing with different
 ridge related measures such as MSE, R-squared etc.  REFERENCES i.  Hoerl and
 Kennard (1970) <doi:10.1080/00401706.1970.10488634>, ii.  Halawa and
 El-Bassiouni (2000) <doi:10.1080/00949650008812006>, iii. Imdadullah, Aslam,
 and Saima (2017), iv.  Marquardt (1970) <doi:10.2307/1267205>.

Package: r-cran-lmtestrob
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-lmtestrob_0.1-1.ca2004.1_all.deb
Size: 22248
MD5sum: af3c84f8711b7cd79482c8f5ff115390
SHA1: 3508b3bdb69ce2c0e326b217ae942d1a93ac35e2
SHA256: 9eb42014dbf7538f8ae1e479861fca8b255c5c1eda7032a48250f5e7a75240e0
SHA512: 679d9ffb34cf38a3ac2dd4228a142b31f268294aadc2388cb912b619c7fc94fb1671114488323d221a626776589594bc14493b22c9824406580b58fedb5ae6f5
Homepage: https://cran.r-project.org/package=lmtestrob
Description: CRAN Package 'lmtestrob' (Outlier Robust Specification Testing)
 Robust test(s) for model diagnostics in regression. The current version
 contains a robust test for functional specification (linearity). The test is
 based on the robust bounded-influence test by Heritier and Ronchetti (1994)
 <doi:10.1080/01621459.1994.10476822>.

Package: r-cran-lmtp
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 981
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nnls, r-cran-cli, r-cran-r6, r-cran-generics, r-cran-origami, r-cran-future, r-cran-progressr, r-cran-data.table, r-cran-checkmate, r-cran-superlearner, r-cran-isotone, r-cran-ife, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-knitr, r-cran-ranger, r-cran-twang
Filename: pool/dists/focal/main/r-cran-lmtp_1.5.2-1.ca2004.1_all.deb
Size: 879292
MD5sum: e60a2ced191e0b15bcfed72bf1ccccbc
SHA1: 8cc81486db4d3cd8c743a05db551a83cea4bceac
SHA256: 0ca3ef4d87cf17082da97c27ab64217cce3695983ed2b0a372bbe62db8c8e4b2
SHA512: 7fbe5955b77f848650fea995db33399cb956d408d87dce69fd705e9ece1ed66da8460dc76d235d197cf7f1d4e58a3492f6009121867b6b106819f971847762ea
Homepage: https://cran.r-project.org/package=lmtp
Description: CRAN Package 'lmtp' (Non-Parametric Causal Effects of Feasible Interventions Based onModified Treatment Policies)
 Non-parametric estimators for casual effects based on longitudinal modified
 treatment policies as described in Diaz, Williams, Hoffman, and Schenck
 <doi:10.1080/01621459.2021.1955691>, traditional point treatment, and
 traditional longitudinal effects. Continuous, binary, categorical
 treatments, and multivariate treatments are allowed as well are censored
 outcomes. The treatment mechanism is estimated via a density ratio
 classification procedure irrespective of treatment variable type. For both
 continuous and binary outcomes, additive treatment effects can be calculated
 and relative risks and odds ratios may be calculated for binary outcomes.
 Supports survival outcomes with competing risks (Diaz, Hoffman, and Hejazi;
 <doi:10.1007/s10985-023-09606-7>).

Package: r-cran-lmvar
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-maxlik
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-mass, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-lmvar_1.5.2-1.ca2004.1_all.deb
Size: 489276
MD5sum: b7c4f9c017605712537b0d2ddc6164a0
SHA1: de37bc769d39a3e4e5723406a9f8789f7663a6f8
SHA256: 8ccb1b3711822c63614b44d29aacec928e04f3dcabaee7163645a36f6de03a07
SHA512: f1d387845c697ab09265cd873fb451a0667125f52396756ecaa7090ad86baf4ce342f5d250b4ca01d055c369a5b95082e913c5b89cd3ae72ba4b3dfb44d60730
Homepage: https://cran.r-project.org/package=lmvar
Description: CRAN Package 'lmvar' (Linear Regression with Non-Constant Variances)
 Runs a linear-like regression with in which both the expected value and the
 variance can vary per observation. The expected values mu follows the
 standard linear model mu = X_mu * beta_mu. The standard deviation sigma
 follows the model log(sigma) = X_sigma * beta_sigma. The package comes with
 two vignettes: 'Intro' gives an introduction, 'Math' gives mathematical
 details.

Package: r-cran-lmviz
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3028
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-lmtest, r-cran-mgcv, r-cran-mass, r-cran-scatterplot3d, r-cran-rgl, r-cran-car
Filename: pool/dists/focal/main/r-cran-lmviz_0.2.0-1.ca2004.1_all.deb
Size: 2302992
MD5sum: 9439a0bcd5077a457099d1bca7272beb
SHA1: e8831cbbdc8d7d58844580ca995e08f10311cf11
SHA256: 4180ea7fe05b8ea6c6ad5094255245c5ff2932a855f2caadbf844af3c0d33dfa
SHA512: 133e00d314713f45cc93d91b667bbe3974ace33e14941faac4d0b226a2bfc6bf4e8addaddbd97c95313adf81eed0480a299927dc12632ead75ae5401d8207505
Homepage: https://cran.r-project.org/package=lmviz
Description: CRAN Package 'lmviz' (A Package to Visualize Linear Models Features and Play with Them)
 Contains a suite of shiny applications meant to explore linear model
 inference feature through simulation and games.

Package: r-cran-lmw
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 551
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chk, r-cran-sandwich, r-cran-backports
Suggests: r-cran-matchit, r-cran-weightit, r-cran-marginaleffects, r-cran-psweight, r-cran-estimatr, r-cran-lmtest, r-cran-ivreg, r-cran-mlogit, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lmw_0.0.2-1.ca2004.1_all.deb
Size: 494544
MD5sum: ee6c1bc31961e8c723e8418a8543dd3d
SHA1: 7a3e13d64a997874bf7c91e6d5677ad8af204899
SHA256: 30e7cc2a0c22a33ecbcae779930ede580f65b182ae748bc9d2cbfddf1b6915f7
SHA512: 76127c2d5a83d2e4bf3c1ff3c1d0e0ea3ad4d04c30044c1a0d98c40fa16c03e53a8cee3b3f49e4ff8ddc1e200b31b5833c060cdcc804011f682b0b7e27a05525
Homepage: https://cran.r-project.org/package=lmw
Description: CRAN Package 'lmw' (Linear Model Weights)
 Computes the implied weights of linear regression models for estimating
 average causal effects and provides diagnostics based on these weights.
 These diagnostics rely on the analyses in Chattopadhyay and Zubizarreta
 (2023) <doi:10.1093/biomet/asac058> where several regression estimators are
 represented as weighting estimators, in connection to inverse probability
 weighting. 'lmw' provides tools to diagnose representativeness, balance,
 extrapolation, and influence for these models, clarifying the target
 population of inference. Tools are also available to simplify estimating
 treatment effects for specific target populations of interest.

Package: r-cran-lncdiff
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lncdiff_1.0.0-1.ca2004.1_all.deb
Size: 640792
MD5sum: bde21461d3cdf3d4208afc96bb3fe117
SHA1: deb6aab9a47ee920b17fd0f41b6ba9212e1cf507
SHA256: 001280adaa7ee6f2c79e6a9463c1ab8886fb9fa8467d6f920f0a1ab0b2c096dc
SHA512: 954198c6bde10de07d9abcd332e1d9874d5503b96dc414b720968b2a0c7cce56033bace205a2b6ec39fd729daeac37f05d1f2895b6977e1161af4e03dc1503ce
Homepage: https://cran.r-project.org/package=lncDIFF
Description: CRAN Package 'lncDIFF' (Long Non-Coding RNA Differential Expression Analysis)
 We developed an approach to detect differential expression features in long
 non-coding RNA low counts, using generalized linear model with zero-inflated
 exponential quasi likelihood ratio test. Methods implemented in this package
 are described in Li (2019) <doi:10.1186/s12864-019-5926-4>.

Package: r-cran-lncfinder
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2955
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seqinr, r-cran-e1071, r-cran-caret
Filename: pool/dists/focal/main/r-cran-lncfinder_1.1.6-1.ca2004.1_all.deb
Size: 2987708
MD5sum: 21b486bbfc11ff0296e9794728126b6e
SHA1: 99ca09936700c531f9f31c8f8678cc947b8bc8cd
SHA256: 84dd48306e2e649b5ffffe45b1127fc024682a04b1c793f19e564b8951cc4ea1
SHA512: 0720e82b2889cefec8a57e9c51f2f309f36d632bef2c2a4c2906dc8bc317eb285a03a41b3da242b4711f4be49a10b66544c6353bb11c60388c6b151e63d25606
Homepage: https://cran.r-project.org/package=LncFinder
Description: CRAN Package 'LncFinder' (LncRNA Identification and Analysis Using Heterologous Features)
 Long non-coding RNAs identification and analysis. Default models are trained
 with human, mouse and wheat datasets by employing SVM. Features are based on
 intrinsic composition of sequence, EIIP value (electron-ion interaction
 pseudopotential), and secondary structure. This package can also extract
 other classic features and build new classifiers. Reference: Han S., et al.
 (2019) <doi:10.1093/bib/bby065>.

Package: r-cran-lncpath
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2999
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Suggests: r-cran-matrix, r-bioc-graph
Filename: pool/dists/focal/main/r-cran-lncpath_1.1-1.ca2004.1_all.deb
Size: 2907516
MD5sum: 246bddb3f5d33261e567f8b79ccbb630
SHA1: d2f98d4000bab0a8ae362868fb14e6d2fc08e76a
SHA256: c65ba3acabc32bdc6c5b1738c2ccdc9149aa1ebc8073deb2f86cf5ea273b145e
SHA512: 53398a03d0ff7a3c87fce93090c829458816fc5bd08a1b178762960953f0fbe5269dfdd3ede41f8235c694e2ebb2934824f8353627f7d36db1a093a7d1fe3761
Homepage: https://cran.r-project.org/package=LncPath
Description: CRAN Package 'LncPath' (Identifying the Pathways Regulated by LncRNA Sets of Interest)
 Identifies pathways synergisticly regulated by the interested lncRNA(long
 non-coding RNA) sets based on a lncRNA-mRNA(messenger RNA) interaction
 network. 1) The lncRNA-mRNA interaction network was built from the
 protein-protein interactions and the lncRNA-mRNA co-expression relationships
 in 28 RNA-Seq data sets. 2) The interested lncRNAs can be mapped into
 networks as seed nodes and a random walk strategy will be performed to
 evaluate the rate of each coding genes influenced by the seed lncRNAs. 3)
 Pathways regulated by the lncRNA set will be evaluated by a weighted
 Kolmogorov-Smirnov statistic as an ES Score. 4) The p value and false
 discovery rate value will also be calculated through a permutation analysis.
 5) The running score of each pathway can be plotted and the heat map of each
 pathway can also be plotted if an expression profile is provided. 6) The
 rank and scores of the gene list of each pathway can be printed.

Package: r-cran-lnirt
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1002
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-coda, r-cran-mcmcse
Filename: pool/dists/focal/main/r-cran-lnirt_0.5.1-1.ca2004.1_all.deb
Size: 923792
MD5sum: 61cd024db6466d9524ba76c32be45ffb
SHA1: cc52d5253d362e1932a5ece82af54e676e4d431d
SHA256: c2c482175c0d46e92cf1110e22170b6120ca51b952ab69c0b3e07453e0b2934a
SHA512: ab7203f75debda204f9b384bacb37a525803a5b5871519953b0ceb127c0f53cb5c1d25dd2e4ba8b2f394bdb83c490554a8481f9edc4d7142afb1966d8e6eeb8c
Homepage: https://cran.r-project.org/package=LNIRT
Description: CRAN Package 'LNIRT' (LogNormal Response Time Item Response Theory Models)
 Allows the simultaneous analysis of responses and response times in an Item
 Response Theory (IRT) modelling framework. Supports variable person speed
 functions (intercept, trend, quadratic), and covariates for item and person
 (random) parameters. Data missing-by-design can be specified. Parameter
 estimation is done with a MCMC algorithm. LNIRT replaces the package CIRT,
 which was written by Rinke Klein Entink. For reference, see the paper by
 Fox, Klein Entink and Van der Linden (2007), "Modeling of Responses and
 Response Times with the Package cirt", Journal of Statistical Software,
 <doi:10.18637/jss.v020.i07>.

Package: r-cran-lnpar
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-lnpar_1.1.1-1.ca2004.1_all.deb
Size: 75976
MD5sum: 7f7297883b3436cceb642064dcf575ba
SHA1: 9490b82ef0fb698b1524189d794a60daf04694aa
SHA256: 9fb300f7556d9f7b0e27a7def84a0df3c0db350d788faf7fc45710a6dc63512a
SHA512: daccbf1633980df3c858b4c852504859cbd2396dc3697aa319a473716f71414c3fa2acbadd9551e30b4fffcf9b304db8f440556f50882b2d68beaaabf5bcb5a7
Homepage: https://cran.r-project.org/package=LNPar
Description: CRAN Package 'LNPar' (Estimation and Testing for a Lognormal-Pareto Mixture)
 Estimates a lognormal-Pareto mixture by means of the
 Expectation-Conditional-Maximization-Either algorithm and by maximizing the
 profile likelihood function. A likelihood ratio test for discriminating
 between lognormal and Pareto tail is also implemented. See Bee, M. (2022)
 <doi:10.1007/s11634-022-00497-4>.

Package: r-cran-loa
Architecture: all
Version: 0.3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1075
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-png, r-cran-rgooglemaps, r-cran-openstreetmap, r-cran-sp, r-cran-rcolorbrewer, r-cran-mgcv, r-cran-plyr
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-loa_0.3.1.1-1.ca2004.1_all.deb
Size: 1029464
MD5sum: 921338d7dc4bd5772fa9fa1c4623ac90
SHA1: ed05a9dde07e8c67f1a68788252c129923d289ef
SHA256: 105af4d8832b3293035f0480d5aeb7bd5f7dd08f23144c81907e76d44376712d
SHA512: 2bba5e4214bb3e9261dd4048e4dd544e4d5f0095e784bfc6519ee4b058ffb9e2a62109b6da1ac0800bc2de8aec3dade64a6b4025c9b84b32fd021e95308db28c
Homepage: https://cran.r-project.org/package=loa
Description: CRAN Package 'loa' (Lattice Options and Add-Ins)
 Various plots and functions that make use of the lattice/trellis plotting
 framework.  The plots, which include loaPlot(), loaMapPlot() and
 trianglePlot(), and use panelPal(), a function that extends 'lattice' and
 'hexbin' package methods to automate plot subscript and panel-to-panel and
 panel-to-key synchronization/management.

Package: r-cran-loader
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-caret, r-cran-config, r-cran-writexl, r-cran-echarts4r, r-cran-shinyace, r-cran-shinyjs, r-cran-readxl, r-cran-golem, r-cran-rlang, r-cran-htmltools, r-cran-data.table, r-cran-htmlwidgets, r-cran-colourpicker, r-cran-shinydashboard, r-cran-shiny, r-cran-shinycustomloader, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-loader_1.3.0-1.ca2004.1_all.deb
Size: 404808
MD5sum: 8c046b016152bdb4cc67e167a8a478df
SHA1: 2b9a1511f9b02803b2cec8e3aa6f4e7075fb05e3
SHA256: 25dcd7c387a962f5947d5d2b0b9b5ab25ee1c71294088cae78519868f829fedb
SHA512: ab4352d0f4fbcca5f22d2405a6454f4a84d48922c20ce628ac352fcc21877c8ddc7e571fb8ecab08f708c0761759bd20cc7c6d1c00cb12037ebcbbbf9aea87c5
Homepage: https://cran.r-project.org/package=loadeR
Description: CRAN Package 'loadeR' (Load Data for Analysis System)
 Provides a framework to load text and excel files through a 'shiny'
 graphical interface. It allows renaming, transforming, ordering and removing
 variables. It includes basic exploratory methods such as the mean, median,
 mode, normality test, histogram and correlation.

Package: r-cran-loadflux
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2036
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-dygraphs, r-cran-ggplot2, r-cran-lubridate, r-cran-rlang, r-cran-tidyr, r-cran-tsibble, r-cran-xts, r-cran-zoo
Suggests: r-cran-brolgar, r-cran-covr, r-cran-fabletools, r-cran-feasts, r-cran-knitr, r-cran-lifecycle, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-loadflux_0.0.2-1.ca2004.1_all.deb
Size: 332712
MD5sum: bc9982e3a0e78f5cd533ece094b663f1
SHA1: bafef1bba2d7c7c796befccc8574290d1b7cd542
SHA256: aef010d07759db0cd199392feb714cbcfde98d3aa78de3283768790d8389b407
SHA512: a5b3747161ea9086137f2535cf1ec2ac9e68101469795bc9cacbbc0b068f8ab2726bcaaff1690a5e131e0008182827b05404648696d13ea39d4ee58a366ec444
Homepage: https://cran.r-project.org/package=loadflux
Description: CRAN Package 'loadflux' (Explore Intra-Event Suspended Sediment Dynamics)
 A collection of functions created to study water discharge (Q) and suspended
 sediment concentration (SSC) relationship.

Package: r-cran-loadings
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 684
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geigen
Filename: pool/dists/focal/main/r-cran-loadings_0.5.1-1.ca2004.1_all.deb
Size: 648028
MD5sum: d4d0c64d23905bb833218d9ab459e58e
SHA1: 51a82ac83c4f0d2bd4eb4453de9e882b7443671f
SHA256: d663e0302f757d9e38f0441d701548f4117da0b17ca320a029d7dfc98df932ea
SHA512: 98682967cf2eca98e3af32f822a6fe447f33c5c6d32c72cf52312a8bd9b4170d239fd1ba54624258b8f07fe32f0cf869cb537734e188fbcff69e4bca7fde9e6a
Homepage: https://cran.r-project.org/package=loadings
Description: CRAN Package 'loadings' (Loadings for Principal Component Analysis and Partial LeastSquares)
 Computing statistical hypothesis testing for loading in principal component
 analysis (PCA) (Yamamoto, H. et al. (2014) <doi:10.1186/1471-2105-15-51>),
 orthogonal smoothed PCA (OS-PCA) (Yamamoto, H. et al. (2021)
 <doi:10.3390/metabo11030149>), one-sided kernel PCA (Yamamoto, H. (2023)
 <doi:10.51094/jxiv.262>), partial least squares (PLS) and PLS discriminant
 analysis (PLS-DA) (Yamamoto, H. et al. (2009)
 <doi:10.1016/j.chemolab.2009.05.006>), PLS with rank order of groups
 (PLS-ROG) (Yamamoto, H. (2017) <doi:10.1002/cem.2883>), regularized
 canonical correlation analysis discriminant analysis (RCCA-DA) (Yamamoto, H.
 et al. (2008) <doi:10.1016/j.bej.2007.12.009>), multiset PLS and PLS-ROG
 (Yamamoto, H. (2022) <doi:10.1101/2022.08.30.505949>).

Package: r-cran-loadr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-loadr_0.1.3-1.ca2004.1_all.deb
Size: 27976
MD5sum: e525dc4f1c4f7cde8cb280f06ff3a6c5
SHA1: 25e0de6f92393defb464af24e6a72cab30e3976d
SHA256: b8d18dcdb30111a813617dbb4fcf218494bab11b21c50b068122b67c4e0726ce
SHA512: 5cf609449db8a71b485271fffbe94fb66d0d173bec0e5c9a6de57bdc2a1847f90fc06a5d63859d387247e643e98d091a19e6b58c9d93be55b2f8042f42efb060
Homepage: https://cran.r-project.org/package=loadr
Description: CRAN Package 'loadr' (Cleaner Workspaces with Shared Variable Environments)
 Provides intuitive functions for loading objects into environments,
 encouraging less cluttered workspaces and sharing variables with large or
 reusable data across users and sessions. The user provides named variables
 which are loaded into the variable environment for later retrieval.

Package: r-cran-loadshaper
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2360
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-loadshaper_1.1.1-1.ca2004.1_all.deb
Size: 1680332
MD5sum: 5174160476ceb12cc01103a3358a9f3d
SHA1: 53d8b8e77a19621a1f391e3cf496c836e7441d95
SHA256: aebe75f04da33c7aadd57851de07ff7f38a476644018686cf029a4ecd103da12
SHA512: 931322b39a0b506ca66126b885b20c22cd5a896142616b42b983eaeab8a368777cdac73e7e7ce0270ef258a485ab5b1d5dd034d8e65c3abfa966caa2ba1ff272
Homepage: https://cran.r-project.org/package=loadshaper
Description: CRAN Package 'loadshaper' (Producing Load Shape with Target Peak and Load Factor)
 Modifying a load shape to match specific peak and load factor is a
 fundamental component for various power system planning and operation
 studies. This package is an efficient tool to modify a reference load shape
 while matching the desired peak and load factor. The package offers both
 linear and non-linear method, described in
 <https://rpubs.com/riazakhan94/load_shape_match_peak_energy>.  The user can
 control the shape of the final load shape by regulating certain parameters.
 The package provides validation metrics for assessing the derived load shape
 in terms of preserving time series properties. It also offers powerful
 graphics, that allows the user to visually assess the derived load shape.

Package: r-cran-lobra
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lawstat, r-cran-nlme, r-cran-rcolorbrewer, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lobra_1.0-1.ca2004.1_all.deb
Size: 679320
MD5sum: 95eb8becbacdcbfac1118bed5c034df0
SHA1: 20f437c442349b82e2c247240484723cc6894b89
SHA256: b19997cc1775a5c96249c7a54d3cdc8ddd9ea5069caedf9f33cadc63c0bb5c10
SHA512: 75343c314256459f563d34dc43414fa88ba01fcade8d7c3c001715b039847f41ceeb3692e10e2e074619d4e90e20a3e3cdbfcc1a70845ffc3988d037b2c64d7b
Homepage: https://cran.r-project.org/package=LoBrA
Description: CRAN Package 'LoBrA' (Generalized Spline Mixed Effect Models for Longitudinal BreathData)
 Automated analysis and modeling of longitudinal 'omics' data (e.g. breath
 'metabolomics') using generalized spline mixed effect models. Including
 automated filtering of noise parameters and determination of breakpoints.

Package: r-cran-lobstercatch
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lobstercatch_0.1.0-1.ca2004.1_all.deb
Size: 63720
MD5sum: 1bc1fd5a094c614061bec94fba2d2c72
SHA1: 0e5e3cb54f08d6fdd33a5b0b13f2ab98c071fcdf
SHA256: 64c6feab13661fc202a798500a019eca512e66ebaff3b6dcbab56b4be87ba3c4
SHA512: ffab5a59440d8c3539e9cc1cd0bcf21e92d8de0320c03fb2a8eae7043f72743c3f139b106a562ac0335b8fadd9ee007e4281bc3c25c53c1f47f6c2c8d67ad248
Homepage: https://cran.r-project.org/package=LobsterCatch
Description: CRAN Package 'LobsterCatch' (Models the Capture Processes in American Lobster Trap Fishery)
 Simulate lobster catch process in a trap fishery. Factors such as lobster
 density on ocean floor, their movement, trap saturation and bait shrinkage
 rate can be modeled. Details of the methods for modeling those processes can
 be found in: Addison and Bell (1997) <doi:10.1071/MF97169>.

Package: r-cran-localcontrolstrategy
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2227
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cluster, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-localcontrolstrategy_1.4-1.ca2004.1_all.deb
Size: 2236024
MD5sum: 1ac73c1660e616cac7948da1dfcf81f3
SHA1: b2af0d251a7475dd9edea4ed7eb6fe48d93f0ff2
SHA256: 44bcc0a48fae3af8fc000c7426c62a417044c11be107f7d449d47926358a6082
SHA512: b3a4983d6e9d5ca8d79193cae4666ad62360cce811d286407d85e20ad1bacf99dc154e1c8904ca2fc82112da85f54e2e364863bd84099a5c1003196e390e738e
Homepage: https://cran.r-project.org/package=LocalControlStrategy
Description: CRAN Package 'LocalControlStrategy' (Local Control Strategy for Robust Analysis of Cross-SectionalData)
 Especially when cross-sectional data are observational, effects of treatment
 selection bias and confounding are revealed by using the Nonparametric and
 Unsupervised "preprocessing" methods central to Local Control (LC) Strategy.
 The LC objective is to estimate the "effect-size distribution" that best
 quantifies a potentially causal relationship between a numeric y-Outcome
 variable and a t-Treatment or e-Exposure variable. Treatment variables are
 binary {either 1 = "new" or 0 = "control"}, while Exposure variables vary
 continuously over a finite range. LC Strategy starts by CLUSTERING
 experimental units (individual patients, US Counties, etc.) on their
 X-confounder characteristics. Clusters represent exclusive and exhaustive
 BLOCKS of relatively well-matched units. The implicit statistical model for
 LC is thus simple one-way ANOVA. Within-Block measures of effect-size are
 Local Rank Correlations (LRCs) when Exposure is numeric with (many) more
 than two levels. Otherwise, Treatment choice is Nested within BLOCKS, and
 effect-sizes are LOCAL Treatment Differences (LTDs) between Within-Cluster
 y-Outcome Means ["new" minus "control"]. An Instrumental Variable (IV)
 method is also provided so that Local Average y-Outcomes (LAOs) within
 BLOCKS may also contribute information for effect-size inferences
 ...assuming that X-Covariates influence only Treatment choice or Exposure
 level and otherwise have no direct effects on y-Outcome.  Finally, a
 "Most-Like-Me" function provides histograms of effect-size distributions to
 aid Doctor-Patient or Researcher-Society communications about Heterogeneous
 Outcomes.

Package: r-cran-localfda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-localfda_1.0.0-1.ca2004.1_all.deb
Size: 1040356
MD5sum: 8fdb21edb3f38768685af113d6f70896
SHA1: 97f102d05f9e3960944f8fde9cf86704c2ab28df
SHA256: eed387477184a90789e5637c3eedd7f1a400a7bebda8d7366db25bb72d57d977
SHA512: 005a1126f736d266e08620c748fd7f688d389388776b8eb4a3ba3abe621b966b76500c4c047e22c00d6db1f72d815a16b2ab3975121a6c0460f481ecb3c3751d
Homepage: https://cran.r-project.org/package=localFDA
Description: CRAN Package 'localFDA' (Localization Processes for Functional Data Analysis)
 Implementation of a theoretically supported alternative to k-nearest
 neighbors for functional data to solve problems of estimating unobserved
 segments of a partially observed functional data sample, functional
 classification and outlier detection. The approximating neighbor curves are
 piecewise functions built from a functional sample.  Instead of a distance
 on a function space we use a locally defined distance function that
 satisfies stabilization criteria.  The package allows the implementation of
 the methodology and the replication of the results in Elías, A., Jiménez, R.
 and Yukich, J. (2020) <arXiv:2007.16059>.

Package: r-cran-localice
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-checkmate
Suggests: r-cran-covr, r-cran-h2o, r-cran-mlbench, r-cran-randomforest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-localice_0.1.1-1.ca2004.1_all.deb
Size: 30224
MD5sum: 553a229becc5afede41e84c73169e676
SHA1: c01922a8e25775360928c5e4343d66ae910a105c
SHA256: 9f2bb42d164af5fa6da720254904b2d6496e4954c96b7faca38495cebc07fd54
SHA512: 99bcd71c7585a92345e1874ab639487b46122be897f65f40cbdb4d70226a22c349a6b798125e94e63bfc6b505931c3456b5c78a09f6397c4518e916e8a69b83c
Homepage: https://cran.r-project.org/package=localICE
Description: CRAN Package 'localICE' (Local Individual Conditional Expectation)
 Local Individual Conditional Expectation ('localICE') is a local explanation
 approach from the field of eXplainable Artificial Intelligence (XAI).
 localICE is a model-agnostic XAI approach which provides three-dimensional
 local explanations for particular data instances. The approach is proposed
 in the master thesis of Martin Walter as an extension to ICE (see
 Reference). The three dimensions are the two features at the horizontal and
 vertical axes as well as the target represented by different colors. The
 approach is applicable for classification and regression problems to explain
 interactions of two features towards the target. For classification models,
 the number of classes can be more than two and each class is added as a
 different color to the plot. The given instance is added to the plot as two
 dotted lines according to the feature values. The localICE-package can
 explain features of type factor and numeric of any machine learning model.
 Automatically supported machine learning packages are 'mlr', 'randomForest',
 'caret' or all other with an S3 predict function. For further model types
 from other libraries, a predict function has to be provided as an argument
 in order to get access to the model. Reference to the ICE approach: Alex
 Goldstein, Adam Kapelner, Justin Bleich, Emil Pitkin (2013)
 <arXiv:1309.6392>.

Package: r-cran-localiv
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-mgcv, r-cran-rlang, r-cran-sampleselection
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-localiv_0.3.1-1.ca2004.1_all.deb
Size: 308156
MD5sum: adccaf5933023b2e6dcbc8e205f22dae
SHA1: 71c9a4b4e61476ea4de5c80a8b66cc487fce72b1
SHA256: adba6f5464ee9421dffeb8eaf43689c7716a7666e38e42990bee723ec75e477a
SHA512: 4fd5b9feff56c5ade3cf2bba1f8d5a8a1959772de73124d621b5c060e4b2b19e9f62efc1d4edc54dd533b63ea07b315d3a76e0333e53d080fe09cf2ecf912839
Homepage: https://cran.r-project.org/package=localIV
Description: CRAN Package 'localIV' (Estimation of Marginal Treatment Effects using LocalInstrumental Variables)
 In the generalized Roy model, the marginal treatment effect (MTE) can be
 used as a building block for constructing conventional causal parameters
 such as the average treatment effect (ATE) and the average treatment effect
 on the treated (ATT). Given a treatment selection equation and an outcome
 equation, the function mte() estimates the MTE via the semiparametric local
 instrumental variables method or the normal selection model. The function
 mte_at() evaluates MTE at different values of the latent resistance u with a
 given X = x, and the function mte_tilde_at() evaluates MTE projected onto
 the estimated propensity score. The function ace() estimates
 population-level average causal effects such as ATE, ATT, or the marginal
 policy relevant treatment effect.

Package: r-cran-localmodel
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-dalex, r-cran-ggplot2, r-cran-partykit, r-cran-ingredients
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-localmodel_0.5-1.ca2004.1_all.deb
Size: 107444
MD5sum: 16cc888284c52e4ee05fd5eabe782831
SHA1: dcb2fedc7ada92f1f205abb0cf29af13c47042e2
SHA256: 47e76ab587ae44710ec444d3b5dc386e2922115e6adc9b1adf27234fb2f500de
SHA512: a2141d23d63deadf3651dce370d1b973777997279a5559622739bab2fd630fdf652379138e073ecd3180e22fea037d1e30042261786aa3a08ed4a888f239a12e
Homepage: https://cran.r-project.org/package=localModel
Description: CRAN Package 'localModel' (LIME-Based Explanations with Interpretable Inputs Based onCeteris Paribus Profiles)
 Local explanations of machine learning models describe, how features
 contributed to a single prediction.  This package implements an explanation
 method based on LIME (Local Interpretable Model-agnostic Explanations, see
 Tulio Ribeiro, Singh, Guestrin (2016) <doi:10.1145/2939672.2939778>) in
 which interpretable inputs are created based on local rather than global
 behaviour of each original feature.

Package: r-cran-localsolver
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-localsolver_2.3-1.ca2004.1_all.deb
Size: 98340
MD5sum: 6db691728248f8a89ae2ea9da2358408
SHA1: 9b5b524f2b0854ab3573bf5413fc7b8db0ea13a9
SHA256: 8a18c856871256df4e4e7cf621be82dadf6d9357797a6a51ba514daf82247d69
SHA512: 5eafb2492fd9356e6d8176b94bcec607ae9feb3f5fc47803d1041e7c43520cd982ff167bc47e7d89fbcced3b94b92e8a72932772ec4c604a9cdfe19c13781c83
Homepage: https://cran.r-project.org/package=localsolver
Description: CRAN Package 'localsolver' (R API to LocalSolver)
 The package converts R data onto input and data for LocalSolver, executes
 optimization and exposes optimization results as R data.  LocalSolver
 (http://www.localsolver.com/) is an optimization engine developed by
 Innovation24 (http://www.innovation24.fr/). It is designed to solve
 large-scale mixed-variable non-convex optimization problems.  The
 localsolver package is developed and maintained by WLOG Solutions
 (http://www.wlogsolutions.com/en/) in collaboration with Decision Support
 and Analysis Division at Warsaw School of Economics
 (http://www.sgh.waw.pl/en/).

Package: r-cran-localsp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1835
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gdverse, r-cran-purrr, r-cran-sdsfun, r-cran-sf, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-automap, r-cran-gstat, r-cran-knitr, r-cran-readr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-localsp_0.1.0-1.ca2004.1_all.deb
Size: 1217312
MD5sum: ee0f18d3b43a968d185bdc985611af5d
SHA1: c4e809736764e4ef4a1106210e46e00b1c9676a8
SHA256: 60807df5e51cb372c5275d3a25fae2a31aa3821f27666596218df296b3ce3536
SHA512: b37478cf0b1c6d972eb32daf2b8c2bc9001f7563629001a329efc361b5a959d821eae0e79c8a704d61ba52d74501eb55eaa7420a1ab4ad7583bc60ee1d490098
Homepage: https://cran.r-project.org/package=localsp
Description: CRAN Package 'localsp' (Local Indicator of Stratified Power)
 Implements a local indicator of stratified power to analyze local spatial
 stratified association and demonstrate how spatial stratified association
 changes spatially and in local regions, as outlined in Hu et al. (2024)
 <doi:10.1080/13658816.2024.2437811>.

Package: r-cran-locar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3373
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-seewave, r-cran-tuner, r-cran-matrixstats, r-cran-oce, r-cran-signal, r-cran-synchwave
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-locar_0.1.2-1.ca2004.1_all.deb
Size: 2535068
MD5sum: 3cacb4f90bde9d1c96783439667f6ad6
SHA1: 889c618e0a2133eda62e7f4e2376ee32cacdec78
SHA256: 6b74242a4745309854fe828f5ec80068dccfa6e0b895a7ec50bd73f1e5e6fa3b
SHA512: 0e08bff7c3ff3ea47ad78f3657b71d0f2b527e72b6eadd84f21dcd650348e281c9b5931debcced570a24297f0b752cba967213d23dda072cb655a682a8533b88
Homepage: https://cran.r-project.org/package=locaR
Description: CRAN Package 'locaR' (A Set of Tools for Sound Localization)
 A set of functions and tools to conduct acoustic source localization, as
 well as organize and check localization data and results. The localization
 functions implement the modified steered response power algorithm described
 by Cobos et al. (2010) <doi:10.1109/LSP.2010.2091502>.

Package: r-cran-locateip
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr2, r-cran-lifecycle, r-cran-readr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-locateip_0.1.2-1.ca2004.1_all.deb
Size: 15744
MD5sum: 886b434d7c1d1e3f4e9d8b6e6692d1b4
SHA1: 28422ef8db6f1767f68129fabe3b0cd090073fec
SHA256: 8ae77cfc7e814c8f3b0cf92396f8e695ae2fd24bd131ed6bceeec1ae263e703f
SHA512: 60bcd2f7977986437de2c48d7f9a1e7755a408eca893efbb7e63372e5bce9b17f819ad32574c94a11d5ea7718d0ae43790a1deae801543f69425355efac4b7f1
Homepage: https://cran.r-project.org/package=locateip
Description: CRAN Package 'locateip' (Locate IP Addresses with 'ip-api')
 Download Internet Protocol (IP) address location and more from the 'ip-api'
 application programming interface (API) <https://ip-api.com/>. The package
 makes it easy to get the latitude, longitude, country, region, and
 organisation associated to the provided IP address. The information is
 conveniently returned in a rectangular format.

Package: r-cran-locatexec
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-locatexec_0.1.1-1.ca2004.1_all.deb
Size: 71020
MD5sum: dabe000a1598f18053fd9da736b7507d
SHA1: de26863814755ebbaa1e48a296b56faa75c64d9e
SHA256: eb77680871061fdb3758a7516d16a0b33c09ac028f5b5d77dcd87c27a84c9aa8
SHA512: e935616b22397277822cb2f363271771c97183457028047a379a4fa224253be51c7b57a9337e03a36fc84dc6bfa5278036fa550bcc8ccf97f062e3338d9cb09a
Homepage: https://cran.r-project.org/package=locatexec
Description: CRAN Package 'locatexec' (Detection and Localization of Executable Files)
 A set of functions to locate some programs available on the user machine.
 The package provides functions to locate 'Node.js', 'npm', 'LibreOffice',
 'Microsoft Word', 'Microsoft PowerPoint', 'Microsoft Excel', 'Python',
 'pip', 'Mozilla Firefox' and 'Google Chrome'.  User can test the
 availability of a program with eventually a version and call it with
 function system2() or system(). This allows the use of a single function to
 retrieve the path to a program regardless of the operating system and its
 configuration.

Package: r-cran-locationgamer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-locationgamer_0.1.0-1.ca2004.1_all.deb
Size: 61968
MD5sum: 18f235056e9e3a1144ec962adcbb8666
SHA1: 8ebae4d95aff369cd51b14fccd62b2b001349bbb
SHA256: 882ae13bcc2a40713d58118de8dc381c5f475f7524e4e16dd35e069c8e0d0f58
SHA512: 9dfe5af8475b10ad74bf0562250fdb9f68910d65887283698df2ea8b039d168583d2383c5398c9750ed6c615e76cc11385b3dd533f90290b40cf735195f90d99
Homepage: https://cran.r-project.org/package=locationgamer
Description: CRAN Package 'locationgamer' (Identification of Location Game Equilibria in Networks)
 Identification of equilibrium locations in location games (Hotelling (1929)
 <doi:10.2307/2224214>). In these games, two competing actors place
 customer-serving units in two locations simultaneously. Customers make the
 decision to visit the location that is closest to them. The functions in
 this package include Prim algorithm (Prim (1957)
 <doi:10.1002/j.1538-7305.1957.tb01515.x>) to find the minimum spanning tree
 connecting all network vertices, an implementation of Dijkstra algorithm
 (Dijkstra (1959) <doi:10.1007/BF01386390>) to find the shortest distance and
 path between any two vertices, a self-developed algorithm using elimination
 of purely dominated strategies to find the equilibrium, and several plotting
 functions.

Package: r-cran-locatt
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-taxize
Filename: pool/dists/focal/main/r-cran-locatt_1.1.2-1.ca2004.1_all.deb
Size: 143048
MD5sum: dc1f5a27e8701ad8afa9953a53e05bfc
SHA1: 7314d9d123e293432e0599462b56d97a5ede918d
SHA256: 392efde0d9275f248a8e4e18234438c084ca63dcee35da7cfc8ef747fd14e978
SHA512: e9fab41e6a9f90bf7d03aec049c3e3edea6d981e3ce60c71e32047bed2d8a0b67ce9dfd70aad9036e42be57705a3f7c8e839593cea4c3bbed167abb6bf0299b2
Homepage: https://cran.r-project.org/package=LocaTT
Description: CRAN Package 'LocaTT' (Geographically-Conscious Taxonomic Assignment for Metabarcoding)
 A bioinformatics pipeline for performing taxonomic assignment of DNA
 metabarcoding sequence data while considering geographic location. A
 detailed tutorial is available at
 <https://urodelan.github.io/Local_Taxa_Tool_Tutorial/>.  A manuscript
 describing these methods is in preparation.

Package: r-cran-locfdr
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-locfdr_1.1-8-1.ca2004.1_all.deb
Size: 307248
MD5sum: 7ceffc0bf3adb1b4752614f75ea9dd00
SHA1: 20eb6eb9b9d8a68a8438e133f70b4aed0d8fec45
SHA256: cf9d52a8ed103d727dbc19fc56afae1833077853a809d8afaf87bc895750a910
SHA512: c99c05a4fabd548d3fe85fbf09360fe7d60dd583c8df076b573541a127bc6c5ffe7a6077b50bc81929d08307d5e61c549e7e37ce6811f1718b50cf99ab29dcdb
Homepage: https://cran.r-project.org/package=locfdr
Description: CRAN Package 'locfdr' (Computes Local False Discovery Rates)
 Computation of local false discovery rates.

Package: r-cran-locfdrpois
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-locfdrpois_1.0.0-1.ca2004.1_all.deb
Size: 51504
MD5sum: 17f9b7c77a4769e81ca964a53dfecd09
SHA1: 9aa3b375a3251f0138d4a955343cc639d7f06f09
SHA256: 5f5d9a3d22631e9a95af38c2588985699e57c7230b62555aad76f1cb9777ea43
SHA512: e8f465a7944a0864fad260e82c8b458622b1f360a7b891974ed407b5bb90aaf1d9ebc11fd75c12560a2e8b65dd0a732c489e15cda9f998262cf0fb97a0e4f93d
Homepage: https://cran.r-project.org/package=LocFDRPois
Description: CRAN Package 'LocFDRPois' (Functions for Performing Local FDR Estimation when Null andAlternative are Poisson)
 The main idea of the Local FDR algorithm is to estimate both proportion of
 null observations and the ratio of null and alternative densities. In the
 case that there are many null observations, this can be done reliably,
 through maximum likelihood or generalized linear models. This package
 implements this in the case that the null and alternative densities are
 Poisson.

Package: r-cran-lock5data
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1856
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lock5data_3.0.0-1.ca2004.1_all.deb
Size: 1809956
MD5sum: 22c5131815edeb243049eb88289987e4
SHA1: 0c0cf23306ece2973badcaed19cdcbb2af7e4e5e
SHA256: 8c966371bb171838c36425d9d9c96f9edda5b3ff03f5228a263ae1fedebec4b5
SHA512: 5bef8e4a0e1a7c1b7ba6bcd62d74e1b94e0940456a9f6bd7724eb4a9380dac7a7de7f8aa479bd82505d39a114cd644ad4635158399a4a5126530d6d7e73ad0e9
Homepage: https://cran.r-project.org/package=Lock5Data
Description: CRAN Package 'Lock5Data' (Datasets for "Statistics: UnLocking the Power of Data")
 Datasets for the third edition of "Statistics: Unlocking the Power of Data"
 by Lock^5 Includes version of datasets from earlier editions.

Package: r-cran-lock5withr
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 915
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lubridate, r-cran-lattice, r-cran-mosaic
Filename: pool/dists/focal/main/r-cran-lock5withr_1.2.2-1.ca2004.1_all.deb
Size: 439268
MD5sum: ee711769347a407ea1e4cf15e154d76f
SHA1: 6de76249b9a9fe8c79c46f73b9034088940cd3d2
SHA256: cd4ffc6bad16e0bcd527d5508ed6b761d59f6eb569f616f21c38ce2e5b82d323
SHA512: ab5023d71eaa342ae265540c8a5037844a795ea7af9d20440d33c5873a2cc693f7b862e88a3426c94da21bd7c5b92633b30a8b96f596d27cee38c36efa3a6152
Homepage: https://cran.r-project.org/package=Lock5withR
Description: CRAN Package 'Lock5withR' (Datasets for 'Statistics: Unlocking the Power of Data')
 Data sets and other utilities for 'Statistics: Unlocking the Power of Data'
 by Lock, Lock, Lock, Lock and Lock (ISBN : 978-0-470-60187-7,
 http://lock5stat.com/).

Package: r-cran-locker
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-matrix, r-cran-psych
Filename: pool/dists/focal/main/r-cran-locker_1.1-1.ca2004.1_all.deb
Size: 40280
MD5sum: f207e22340a11fdcc6bd0019f5c73f24
SHA1: 51017a53b378179e873acfa4fd473c16b758fc21
SHA256: da9bec4e0d24f45312775f6a7b489044682a477c70f5705e549fd8910d47f1e0
SHA512: 895d71ea15d9fb001c4ddc0ebba519020ff1845235a8c64789fac5fb716b05afd7ff015ba1bb2a6ce4fc71cea656984ce905411268652ffa2173444b9ca9834c
Homepage: https://cran.r-project.org/package=LocKer
Description: CRAN Package 'LocKer' (Locally Sparse Estimator of Generalized Varying CoefficientModel for Asynchronous Longitudinal Data)
 Locally sparse estimator of generalized varying coefficient model for
 asynchronous longitudinal data by kernel-weighted estimating equation.

Package: r-cran-locpolexpectile
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-locpol, r-cran-expectreg, r-cran-quantreg, r-cran-matrixcalc, r-cran-lestat
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-locpolexpectile_0.1.1-1.ca2004.1_all.deb
Size: 106944
MD5sum: 61b1b51fb7ab59b605dab624522f0cc3
SHA1: 1c985ef77caef1d24aa66a3f815470da4c1ba22f
SHA256: 1ebdec8a84275bf87b3895371ee55a335bf6477403c0dc046d963a66305e67c5
SHA512: bf3d62d405e9ffcc9de2f57c7c56e0fc0effcebd7da501a47058746542621d8aa32c62650a1df1da0bedb099ef4ed4e8c0c225b86dbd5f5b04f757958cc76dbc
Homepage: https://cran.r-project.org/package=locpolExpectile
Description: CRAN Package 'locpolExpectile' (Local Polynomial Expectile Regression)
 Provides the local polynomial expectile regression method and different
 bandwidth selection procedures. The codes include local polynomial
 univariate expectile regression with several data-driven methods for
 bandwidth selection; local linear bivariate and trivariate expectile
 regression; and partially linear expectile regression, allowing for
 different errors structures (homoscedastic error and various heteroscedastic
 error structures). For more details, see Adam and Gijbels (2021a)
 <doi:10.1007/s10463-021-00799-y> and Adam and Gijbels (2021b)
 <doi:10.1007/978-3-030-73249-3_8>.

Package: r-cran-locus
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ica, r-cran-mass, r-cran-far
Filename: pool/dists/focal/main/r-cran-locus_1.0-1.ca2004.1_all.deb
Size: 52092
MD5sum: bc1f4ffda7ce785093eb2d963e8ce9d1
SHA1: 4bfed26bf059ef128a7758eadfefb2065906abe0
SHA256: ba151b959e6cc82f6d7da7516a889ce35fc2b83f1a3278eae6a4654d16225988
SHA512: fb8ac1336b30f5c75c72586fa0d9e7672eb01b620ec74f79fb8edf1d5d363d2c65e57e63c2376b49ef440ca1edc6651b6dbdd97f6bd8b53afdd8cdbb7e10b523
Homepage: https://cran.r-project.org/package=LOCUS
Description: CRAN Package 'LOCUS' (Low-Rank Decomposition of Brain Connectivity Matrices withUniform Sparsity)
 To decompose symmetric matrices such as brain connectivity matrices so that
 one can extract sparse latent component matrices and also estimate mixing
 coefficients, a blind source separation (BSS) method named LOCUS was
 proposed in Wang and Guo (2023) <arXiv:2008.08915>. For brain connectivity
 matrices, the outputs correspond to sparse latent connectivity traits and
 individual-level trait loadings.

Package: r-cran-locuszoomr
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4755
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationfilter, r-bioc-biocgenerics, r-cran-cowplot, r-cran-dplyr, r-bioc-ensembldb, r-bioc-genomeinfodb, r-bioc-genomicranges, r-cran-gggrid, r-cran-ggplot2, r-cran-ggrepel, r-bioc-iranges, r-cran-ldlinkr, r-cran-memoise, r-cran-plotly, r-cran-rlang, r-bioc-rtracklayer, r-cran-zoo
Suggests: r-bioc-annotationhub, r-bioc-ensdb.hsapiens.v75, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-locuszoomr_0.3.8-1.ca2004.1_all.deb
Size: 3043964
MD5sum: 1831b1c965e818d573d80be20060372e
SHA1: d853626135af1287c343755c3992ce06eeb91b9b
SHA256: 6381478ff1eb270ab17361e1b0dd1caa8016354fdaa862231a4268ec86577d39
SHA512: b8575c1d334fd758aa43f3123657507e607edec0136b76c65eb78295a47aa71c5931ee990a73dd9a22ad34f8b89f0d2176ed5ef08be2d569827544979c0f9f77
Homepage: https://cran.r-project.org/package=locuszoomr
Description: CRAN Package 'locuszoomr' (Gene Locus Plot with Gene Annotations)
 Publication-ready regional gene locus plots similar to those produced by the
 web interface 'LocusZoom' <https://my.locuszoom.org>, but running locally in
 R. Genetic or genomic data with gene annotation tracks are plotted via R
 base graphics, 'ggplot2' or 'plotly', allowing flexibility and easy
 customisation including laying out multiple locus plots on the same page. It
 uses the 'LDlink' API <https://ldlink.nih.gov/?tab=apiaccess> to query
 linkage disequilibrium data from the 1000 Genomes Project and can overlay
 this on plots <doi:10.1093/bioadv/vbaf006>.

Package: r-cran-lodgwas
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rms
Filename: pool/dists/focal/main/r-cran-lodgwas_1.0-7-1.ca2004.1_all.deb
Size: 383576
MD5sum: 702696581175c42a8630d53f5b2d80f4
SHA1: c50583a31704568400ca46030d9d9e941d21f358
SHA256: 213ff0eb5411dcec7ab2f77a5294c4dec58ec8d8d562ea39f19ae8c98fed32e0
SHA512: 4eed12dbd7eec72f828481490c7364f8e6c0e4589f0687b61c96474ab1b05cb0389e9c82494d10ec94784f0ce94beeb536d734f0b254ecbcb755df68755c7ad5
Homepage: https://cran.r-project.org/package=lodGWAS
Description: CRAN Package 'lodGWAS' (Genome-Wide Association Analysis of a Biomarker Accounting forLimit of Detection)
 Genome-wide association (GWAS) analyses of a biomarker that account for the
 limit of detection.

Package: r-cran-lodi
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lodi_0.9.2-1.ca2004.1_all.deb
Size: 47172
MD5sum: e318a088c4219c283b59bf0c9c600c56
SHA1: 2cd520f87f5669366ccaba74e5b7e0fdd568ff67
SHA256: 87a022d7d03bec354e2b839e9bd9e99b1eb3191ef722b54b92e765af513e70a4
SHA512: e428d70f18ee81d5eed2e7e837b7466b4ee3f2bafef9807a17cf717c3bd00de5ab21a4bb44cc292a2fb775bceae4dbc00f2caadddfcb670213f9e3b0ade389a6
Homepage: https://cran.r-project.org/package=lodi
Description: CRAN Package 'lodi' (Limit of Detection Imputation for Single-Pollutant Models)
 Impute observed values below the limit of detection (LOD) via censored
 likelihood multiple imputation (CLMI) in single-pollutant models, developed
 by Boss et al (2019) <doi:10.1097/EDE.0000000000001052>.  CLMI handles
 exposure detection limits that may change throughout the course of exposure
 assessment. 'lodi' provides functions for imputing and pooling for this
 method.

Package: r-cran-loedata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-loedata_1.0.1-1.ca2004.1_all.deb
Size: 566004
MD5sum: 4e0832a0e1b872aaba6ddda56685e0eb
SHA1: 02647b599b266bf4309261ccd760643b54e56113
SHA256: e786308bb9e979943f8336f98a51def1eb437a4d5938178244c2fa73e806b625
SHA512: 0245611aa2d82cc5bfae025d6851b40f67f47d43dd2cb7b3ec5ba82b8860760cff2ea3bb51b54b1c77bdd60817b294ab64ea0243489a145708e7f372beabf566
Homepage: https://cran.r-project.org/package=loedata
Description: CRAN Package 'loedata' (Data Sets from "Lectures on Econometrics" by Chirok Han)
 Data sets for Chirok Han (2022, ISBN:979-11-303-1497-6, "Lectures on
 Econometrics"). Students, teachers, and self-learners will find the data
 sets essential for replicating the results in the book.

Package: r-cran-loewesadditivity
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-rlang, r-cran-ggplot2, r-cran-metr, r-cran-gridextra, r-cran-rootsolve, r-cran-viridis
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-loewesadditivity_0.1.0-1.ca2004.1_all.deb
Size: 293084
MD5sum: c63256711317de4a2ef84f0d7655ba25
SHA1: 59fe440b332f4bf6ae0c0cc802a6eea95a8c1a77
SHA256: 4e52cc19bf4b334ba7207799486606b149cea97b0dd9c51fb155b60ce87226fb
SHA512: d252b870125247720b4ad542ac2854a537de4694f788ed269b297f5d3729d257bc1141b6bb15ad30fd4bd5e6576b67b49a3718d649ad98d7fdbf70c2b276fc1b
Homepage: https://cran.r-project.org/package=loewesadditivity
Description: CRAN Package 'loewesadditivity' (Loewe's Additivity)
 Estimate model parameters to determine whether two compounds have synergy,
 antagonism, or Loewe's Additivity.

Package: r-cran-lofifonts
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2936
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bittermelon, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lofifonts_0.1.3-1.ca2004.1_all.deb
Size: 2582868
MD5sum: 7efc07fca5e6408cebeb347e75c3dc43
SHA1: 3d982ddad2b063c962b0f52f3499a31a55e40b00
SHA256: 4a3b0c80422c4a55107225c8d905e5d0a0b29633a8cacc729f1c16859c33343a
SHA512: ee590d7f255b4c1357ec96615a29039187a86b7686c96743d327821216563878571e09f314caa24f2cf3c16ec801d7629c3579e55b4c3b92e94e97e707f4d896
Homepage: https://cran.r-project.org/package=lofifonts
Description: CRAN Package 'lofifonts' (Text Rendering with Bitmap and Vector Fonts)
 Alternate font rendering is useful when rendering text to novel graphics
 outputs where modern font rendering is not available or where bespoke text
 positioning is required. Bitmap and vector fonts allow for custom layout and
 rendering using pixel coordinates and line drawing.  Formatted text is
 created as a data.frame of pixel coordinates (for bitmap fonts) or stroke
 coordinates (for vector fonts).  All text can be easily previewed as a
 matrix or raster image.  A selection of fonts is included with this package.

Package: r-cran-log
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-cli, r-cran-crayon
Suggests: r-cran-shiny, r-cran-plumber, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-log_1.1.1-1.ca2004.1_all.deb
Size: 102396
MD5sum: d49411eaa12cc1f0e575b909172c9e2f
SHA1: b6a8dc5eef14dfcb5a648c98c96a58fcf5d569b9
SHA256: 028aa344d5b99d680d23e49aaa52e1fbd928fe13f27a7fb3c99ba98e0221a1bc
SHA512: 67490bdec229228eed739ab045a0c46f11b2b497da87a4c7a2f8620064e8062ab4dec0028920f9f91ad278801adf8b7dc87a497215e4fb4a4e7bb90b12045df3
Homepage: https://cran.r-project.org/package=log
Description: CRAN Package 'log' (Record Events and Issues)
 Logger to keep track of informational events and errors useful for
 debugging.

Package: r-cran-logan
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1054
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pander, r-cran-psych, r-cran-foreign, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-stringr, r-cran-magrittr, r-cran-modules
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-logan_1.0.1-1.ca2004.1_all.deb
Size: 778084
MD5sum: 2edd8bcf9a92eeb8ce7207697a70855a
SHA1: 78c9d1c9de7899db2b48a53f9d59e4891bbef771
SHA256: a106058c1b266cb3f07773f89285176f7d63d309316fd427f79f407b5be93de9
SHA512: c46a106587e40fd3abbca837a7b3023da060d28e2a183144711ba9ad941d9758f69773e40b7a2129ad8ca916ed2939969986f8bed65cf101184ff34f7e8133a7
Homepage: https://cran.r-project.org/package=LOGAN
Description: CRAN Package 'LOGAN' (Log File Analysis in International Large-Scale Assessments)
 Enables users to handle the dataset cleaning for conducting specific
 analyses with the log files from two international educational assessments:
 the Programme for International Student Assessment (PISA,
 <https://www.oecd.org/pisa/>) and the Programme for the International
 Assessment of Adult Competencies (PIAAC,
 <https://www.oecd.org/skills/piaac/>). An illustration of the analyses can
 be found on the LOGAN Shiny app (<https://loganpackage.shinyapps.io/shiny/>)
 on your browser.

Package: r-cran-logantree
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rocr, r-cran-caret, r-cran-caretensemble, r-cran-dplyr, r-cran-ggplot2, r-cran-rpart.plot, r-cran-tibble, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-logantree_0.1.1-1.ca2004.1_all.deb
Size: 209668
MD5sum: 2a37d79e52537f275805110057e386b8
SHA1: 9a631b3b0985bf357ddd4f49740e71ff3a132f11
SHA256: 32db136a2912a7defda16a3c56e2031f851a45b7d64e5e445c8877e2bf43b67a
SHA512: 1069df4872e11bcede54f7a5e6b1ec5c1d0e37babec74cdaaea91fabdbbc6885d8b20a11f856f9327d5ced55376fbf402da90e52554d6abb48da77c38ab4e9ad
Homepage: https://cran.r-project.org/package=LOGANTree
Description: CRAN Package 'LOGANTree' (Tree-Based Models for the Analysis of Log Files fromComputer-Based Assessments)
 Enables researchers to model log-file data from computer-based assessments
 using machine-learning techniques. It allows researchers to generate new
 knowledge by comparing the performance of three tree-based classification
 models (i.e., decision trees, random forest, and gradient boosting) to
 predict student's outcome. It also contains a set of handful functions for
 the analysis of the features' influence on the modeling. Data from the
 Climate control item from the 2012 Programme for International Student
 Assessment (PISA, <https://www.oecd.org/pisa/>) is available for an
 illustration of the package's capability. He, Q., & von Davier, M. (2015)
 <doi:10.1007/978-3-319-19977-1_13> Boehmke, B., & Greenwell, B. M. (2019)
 <doi:10.1201/9780367816377> .

Package: r-cran-logbin
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glm2, r-cran-turboem, r-cran-matrix, r-cran-itertools2, r-cran-iterators
Suggests: r-cran-testthat, r-cran-vctrs
Filename: pool/dists/focal/main/r-cran-logbin_2.0.6-1.ca2004.1_all.deb
Size: 206804
MD5sum: 682d7c6ddbf5e72eb19ab2efc3442ec8
SHA1: 075e91659be5ca824a01a7bc99b41fc8fbe7f981
SHA256: d5d52f631424726a5d68eab8a3c821a771a0f01bb65b29ead998470e7e440f19
SHA512: e8b0d90d6aa8a1afb217e936104148eb3e30ddb97b51f418509e5034e82bb79a62e5d13458e250da19cb12b6a8cdc86e96daa42f17baf45caa3fc495a6922077
Homepage: https://cran.r-project.org/package=logbin
Description: CRAN Package 'logbin' (Relative Risk Regression Using the Log-Binomial Model)
 Methods for fitting log-link GLMs and GAMs to binomial data, including
 EM-type algorithms with more stable convergence properties than standard
 methods.

Package: r-cran-logcondens.mode
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-logcondens, r-cran-distr
Filename: pool/dists/focal/main/r-cran-logcondens.mode_1.0.1-1.ca2004.1_all.deb
Size: 371272
MD5sum: 389ffdfef2091bbae212bab2af074993
SHA1: fe65ce2ea6fedfa8c2885993f00d93923bd5e8cf
SHA256: a522288e5413f67e9e726b3781862f79a8ad304e60ec52e3d002988bdf75866b
SHA512: b3af4b3708ad5f656abdf7165951b22ec12976f5714b4d6532e9dd744bb4a720119217e248f90e1cbd88e0b4b59552720069a75c763c7d717429287079b00a04
Homepage: https://cran.r-project.org/package=logcondens.mode
Description: CRAN Package 'logcondens.mode' (Compute MLE of Log-Concave Density on R with Fixed Mode, andPerform Inference for the Mode)
 Computes maximum likelihood estimate of a log-concave density with fixed and
 known location of the mode. Performs inference about the mode via a
 likelihood ratio test. Extension of the logcondens package.

Package: r-cran-logcondens
Architecture: all
Version: 2.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ks
Filename: pool/dists/focal/main/r-cran-logcondens_2.1.8-1.ca2004.1_all.deb
Size: 561972
MD5sum: f6112bb1e0c0b003b8552fcedf0d8dc7
SHA1: 9913552d344999cb91c30ba61a3d488b3eaf454a
SHA256: 6c70587568080c5c9dd146ba522eb23e6b3b9ee995195438d3a825ec71345854
SHA512: c69bf6b3abefea7ae92338d98d8aa4e94dbdaa6dd88d8529c2389a49deea16c73a58343c6b27cd0c8d24d3197415b3342949e3cfd6fe22d11634e0853bf020de
Homepage: https://cran.r-project.org/package=logcondens
Description: CRAN Package 'logcondens' (Estimate a Log-Concave Probability Density from Iid Observations)
 Given independent and identically distributed observations X(1), ..., X(n),
 compute the maximum likelihood estimator (MLE) of a density as well as a
 smoothed version of it under the assumption that the density is log-concave,
 see Rufibach (2007) and Duembgen and Rufibach (2009). The main function of
 the package is 'logConDens' that allows computation of the log-concave MLE
 and its smoothed version. In addition, we provide functions to compute (1)
 the value of the density and distribution function estimates (MLE and
 smoothed) at a given point (2) the characterizing functions of the
 estimator, (3) to sample from the estimated distribution, (5) to compute a
 two-sample permutation test based on log-concave densities, (6) the ROC
 curve based on log-concave estimates within cases and controls, including
 confidence intervals for given values of false positive fractions (7)
 computation of a confidence interval for the value of the true density at a
 fixed point. Finally, three datasets that have been used to illustrate
 log-concave density estimation are made available.

Package: r-cran-logcondiscr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mvtnorm, r-cran-cobs
Filename: pool/dists/focal/main/r-cran-logcondiscr_1.0.6-1.ca2004.1_all.deb
Size: 85872
MD5sum: ef6ff70954e9a17459bd0d7e16f21648
SHA1: a2a0e9433afe992346bec0cd85a499f88abffb34
SHA256: 63860a17baeb5737d287a2081af12651097c3dc9d6461ac6b8c74809adbd4c7a
SHA512: cffd47db02d3593ac2efe87241ba48a51d4a8cb73ad3b4135bb8968a93d5ed8fc6746932fe868c9d46833a41662be65d1276120248747ffff49af62060cddc89
Homepage: https://cran.r-project.org/package=logcondiscr
Description: CRAN Package 'logcondiscr' (Estimate a Log-Concave Probability Mass Function from Discretei.i.d. Observations)
 Given independent and identically distributed observations X(1), ..., X(n),
 allows to compute the maximum likelihood estimator (MLE) of probability mass
 function (pmf) under the assumption that it is log-concave, see Weyermann
 (2007) and Balabdaoui, Jankowski, Rufibach, and Pavlides (2012). The main
 functions of the package are 'logConDiscrMLE' that allows computation of the
 log-concave MLE, 'logConDiscrCI' that computes pointwise confidence bands
 for the MLE, and 'kInflatedLogConDiscr' that computes a mixture of a
 log-concave PMF and a point mass at k.

Package: r-cran-logger
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1869
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-botor, r-cran-covr, r-cran-crayon, r-cran-devtools, r-cran-glue, r-cran-jsonlite, r-cran-knitr, r-cran-mirai, r-cran-pander, r-cran-r.utils, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rpushbullet, r-cran-rsyslog, r-cran-shiny, r-cran-slackr, r-cran-syslognet, r-cran-telegram, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-logger_0.4.0-1.ca2004.1_all.deb
Size: 558492
MD5sum: 9f6f0ab38d59d6cf12360fd0a7895e95
SHA1: 766d6839336ec7d813a99ac33c8d5b248a872810
SHA256: 17734f771d1ec51f9746efcb901a20d7688049c76254ae5ec38c1833b9acf26c
SHA512: 68050a100d50f2db7adc10d4e7adeedd2488633565bc01f36a9d13249c8d748d3b1e71019f69e66f6aef02918d6e7720de004310ab2d2e6eca2cbbf8b15d3e3a
Homepage: https://cran.r-project.org/package=logger
Description: CRAN Package 'logger' (A Lightweight, Modern and Flexible Logging Utility)
 Inspired by the the 'futile.logger' R package and 'logging' Python module,
 this utility provides a flexible and extensible way of formatting and
 delivering log messages with low overhead.

Package: r-cran-logging
Architecture: all
Version: 0.10-108-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-logging_0.10-108-1.ca2004.1_all.deb
Size: 161408
MD5sum: 7d8570e691a700a6f69dec8c61a472c5
SHA1: 32ec47c385bda19da314452770af0f5bac9f9b27
SHA256: a825f7e5aa70c96692f197579121f0933a5b5e849ca45a9d992f7bf61e3d0e70
SHA512: 7d8f09ba898850ed7e5d3775fe877e23999f8d65f4327d278b0f75293259af5be269b86f05fddf80a632c43a56849d4046c4ba6c43e8230e57b7ccb7aee5123c
Homepage: https://cran.r-project.org/package=logging
Description: CRAN Package 'logging' (R Logging Package)
 Pure R implementation of the ubiquitous log4j package. It offers hierarchic
 loggers, multiple handlers per logger, level based filtering, space handling
 in messages and custom formatting.

Package: r-cran-loggit
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-loggit_2.1.1-1.ca2004.1_all.deb
Size: 57456
MD5sum: 0da8082db579441ed5a67ca8973f5ffd
SHA1: 701c22a6809457eeefc3e3198347c700d95b6dcf
SHA256: e76e9ee278496affa694a7131a2963378e39577300254a8497e4dcb363b2ee89
SHA512: 67eb750bbe88119b87ca70d751e806807ceb45f11721b4ce01f4bb27e1e07e810e4777626c1a769924c3e74e21e9fdc385dec62005aca18cb3b4d62895a8acea
Homepage: https://cran.r-project.org/package=loggit
Description: CRAN Package 'loggit' (Modern Logging for the R Ecosystem)
 An effortless 'ndjson' (newline-delimited 'JSON') logger, with two primary
 log-writing interfaces. It provides a set of wrappings for base R's
 message(), warning(), and stop() functions that maintain identical
 functionality, but also log the handler message to an 'ndjson' log file.
 'loggit' also exports its internal 'loggit()' function for powerful and
 configurable custom logging. No change in existing code is necessary to use
 this package, and should only require additions to fully leverage the power
 of the logging system. 'loggit' also provides a log reader for reading an
 'ndjson' log file into a data frame, log rotation, and live echo of the
 'ndjson' log messages to terminal 'stdout' for log capture by external
 systems (like containers). 'loggit' is ideal for Shiny apps, data pipelines,
 modeling work flows, and more. Please see the vignettes for detailed example
 use cases.

Package: r-cran-logib
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-logib_0.2.0-1.ca2004.1_all.deb
Size: 98708
MD5sum: 26bded79c94406f73f0af7f126fec0be
SHA1: 30b3223e34f73716c2cbeb5cc5be36ff4816b077
SHA256: 432ff27521280e85d39954e06792a4815a54050e687946302f937ad37d4d0c7e
SHA512: cd4af480527a7c646467f188216d082e5fad9dff669653157a13d2165016b16390f02ba43232dc7b7b3d2b4975fe9e210e983d94214f12efb3691dc4e652936b
Homepage: https://cran.r-project.org/package=logib
Description: CRAN Package 'logib' (Salary Analysis by the Swiss Federal Office for Gender Equality)
 Implementation of the Swiss Confederation's standard analysis model for
 salary analyses <https://www.ebg.admin.ch/en/equal-pay-analysis-with-logib>
 in R. The analysis is run at company-level and the model is intended for
 medium-sized and large companies. It can technically be used with 50 or more
 employees (apprentices, trainees/interns and expats are not included in the
 analysis). Employees with at least 100 employees are required by the Gender
 Equality Act to conduct an equal pay analysis.  This package allows users to
 run the equal salary analysis in R, providing additional transparency with
 respect to the methodology and simple automation possibilities.

Package: r-cran-logibin
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-doparallel, r-cran-data.table, r-cran-foreach, r-cran-iterators
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-logibin_0.3-1.ca2004.1_all.deb
Size: 75788
MD5sum: f05ab8b1a1063121d3af884b706d6506
SHA1: e6366a98f672fef6be327a8c94b92927f62d1d3d
SHA256: 1478923f686ff9570162b54164a67819e0bd8e86acc5f9a6cd3a9a80184dcfba
SHA512: 094c6818622c54a2a456ea80be9c9f2aa007167e9fd224200b242c6592f1bdb653745c60e6b254efd58233ff59976178f36bdc824d1cc382bacf2de974081106
Homepage: https://cran.r-project.org/package=logiBin
Description: CRAN Package 'logiBin' (Binning Variables to Use in Logistic Regression)
 Fast binning of multiple variables using parallel processing. A summary of
 all the variables binned is generated which provides the information value,
 entropy, an indicator of whether the variable follows a monotonic trend or
 not, etc. It supports rebinning of variables to force a monotonic trend as
 well as manual binning based on pre specified cuts. The cut points of the
 bins are based on conditional inference trees as implemented in the partykit
 package. The conditional inference framework is described by Hothorn T,
 Hornik K, Zeileis A (2006) <doi:10.1198/106186006X133933>.

Package: r-cran-logicforest
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-logicreg
Suggests: r-cran-data.table, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-logicforest_2.1.1-1.ca2004.1_all.deb
Size: 64556
MD5sum: 2461f6d8e3d8aa23bd60bdf399b2293f
SHA1: 2315363f61b7376e5c491676ce671bca57b18e90
SHA256: 1017f11adf46fcf3d9715cbec08cdfd0482219f336508bf7be749fd42a87f609
SHA512: 114b3dd77c3daa6c7c4f60a441553da1449cd170b4c46096245add5d3197aa198e3c4f1a2241d6f32a52926e845e947cf8ee35c869dee4dc2e1428513c7e5bdd
Homepage: https://cran.r-project.org/package=LogicForest
Description: CRAN Package 'LogicForest' (Logic Forest)
 Two classification ensemble methods based on logic regression models.
 LogForest() uses a bagging approach to construct an ensemble of logic
 regression models.  LBoost() uses a combination of boosting and
 cross-validation to construct an ensemble of logic regression models.  Both
 methods are used for classification of binary responses based on binary
 predictors and for identification of important variables and variable
 interactions predictive of a binary outcome. Wolf, B.J., Slate, E.H., Hill,
 E.G. (2010) <doi:10.1093/bioinformatics/btq354>.

Package: r-cran-logicoil
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-logicoil_0.99.0-1.ca2004.1_all.deb
Size: 343828
MD5sum: 06a4644de02319dbb659b137eea5da92
SHA1: 17f4f4fe3d36b06376d940d9f61c5c3027cd8b80
SHA256: 3ee912ecd5c6b08ebfaa669b7fe82e635c38a1038bee6ae59fb1109210744c27
SHA512: 5d7987d5f6512322c0534ce0515862dd25178712d66ca8781309b01c414fc370b4e7d26e6c5edb7dcf7f589c3e56f5371289054a5fa38d75da6998a666471872
Homepage: https://cran.r-project.org/package=LOGICOIL
Description: CRAN Package 'LOGICOIL' (LOGICOIL: multi-state prediction of coiled-coil oligomericstate)
 This package contains the functions necessary to run the LOGICOIL algorithm.
 LOGICOIL can be used to differentiate between antiparallel dimers, parallel
 dimers, trimers and higher-order coiled-coil sequence. By covering >90
 percent of the known coiled-coil structures, LOGICOIL is a net improvement
 compared with other existing methods, which achieve a predictive coverage of
 around 31 percent of this population. As such, LOGICOIL is particularly
 useful for researchers looking to characterize novel coiled-coil sequences
 or studying coiled-coil containing protein assemblies. It may also be used
 to assist in the structural characterization of synthetic coiled-coil
 sequences.

Package: r-cran-logihist
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-popbio
Filename: pool/dists/focal/main/r-cran-logihist_1.1-1.ca2004.1_all.deb
Size: 52988
MD5sum: 45276c7d11bc7ec6d6b6d33be2137fb3
SHA1: cc05658c5b5a1152e56d5e3ed78b7185084d0936
SHA256: 5d20e493160dfbae8fa312652e04b41e83efadb2e11a7e1c10689219b2121ddc
SHA512: 72d4530c05f97cb7f28d8f372245a6fc007808dcf64586b5e7c9bf5f8c253b38f46dc72c781dfc226c1756013db97aef63c0b8a926c35dc8e53ed1a108b4f5ba
Homepage: https://cran.r-project.org/package=logihist
Description: CRAN Package 'logihist' (Combined Graphs for Logistic Regression)
 Provides histograms, boxplots and dotplots as alternatives to scatterplots
 of data when plotting fitted logistic regressions.

Package: r-cran-login
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 846
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cookies, r-cran-dbi, r-cran-digest, r-cran-emayili, r-cran-htmltools, r-cran-shiny, r-cran-shinybusy, r-cran-shinyjs, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-login_0.9.3-1.ca2004.1_all.deb
Size: 636916
MD5sum: f3ccd244f48e3f4880975abda74ff77a
SHA1: 945ce28c1bcfa7e327883fa72545c689dbc16372
SHA256: 5cb139a8019c3c6cd4bbb7f8338003c00150e1d3117c272ed60e2f9f182050f7
SHA512: 2ac5f21175df06d2b481301b5e66787b261a22cf53f0812c5026be5eb74ca58501d61323c05021383385d2ee32543532891eac223a526c3aa3fd7ce3b21c23f7
Homepage: https://cran.r-project.org/package=login
Description: CRAN Package 'login' ('shiny' Login Module)
 Framework for adding authentication to 'shiny' applications.  Provides
 flexibility as compared to other options for where user credentials are
 saved, allows users to create their own accounts, and password reset
 functionality. Bryer (2024) <doi:10.5281/zenodo.10987876>.

Package: r-cran-logistic4p
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-logistic4p_1.6-1.ca2004.1_all.deb
Size: 85200
MD5sum: 5d9a4c1dd9d16b17be625859ae849892
SHA1: 75592635578e84b577676c92412ecbb22fa411ac
SHA256: 0bbe545e5ec7018dc9dc18f4e34aec81e7feb2bb31ad6313407175762575f7d2
SHA512: ad0a4034acead9cff20ba2cc934b218e7039732ba4efe06ddb9f92758b90bdfd4ecbf455b5f648e777811960381340a3b944eba65ac35bd817ddb47a60da18e1
Homepage: https://cran.r-project.org/package=logistic4p
Description: CRAN Package 'logistic4p' (Logistic Regression with Misclassification in DependentVariables)
 Error in a binary dependent variable, also known as misclassification, has
 not drawn much attention in psychology. Ignoring misclassification in
 logistic regression can result in misleading parameter estimates and
 statistical inference. This package conducts logistic regression analysis
 with misspecification in outcome variables.

Package: r-cran-logisticcopula
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brglm2, r-cran-vinecopula, r-cran-rvinecopulib, r-cran-igraph, r-cran-numderiv, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-logisticcopula_0.1.0-1.ca2004.1_all.deb
Size: 167564
MD5sum: 589c27dd15b2ac2dbc550d2ea5d57182
SHA1: 79ec2846166e19fc0350e2d8e4ec7cd6989a1c3b
SHA256: 4816fc51947b736b3fd3fe88e37414ecbe20fe67407c2740b224ad28e32cb2c5
SHA512: 19f4bef74903f0cb8b6b7d7adc01017d2d4c825badaa790955554996d464dd0d2cd597104dcc1aeddd14adbbccb1e5faf67f80ec805e2620ace80f1556cd5e63
Homepage: https://cran.r-project.org/package=LogisticCopula
Description: CRAN Package 'LogisticCopula' (A Copula Based Extension of Logistic Regression)
 An implementation of a method of extending a logistic regression model
 beyond linear effects of the co-variates. The extension in is constructed by
 first equating the logistic regression model to a naive Bayes model where
 all the margins are specified to follow natural exponential distributions
 conditional on Y, that is, a model for Y given X that is specified through
 the distribution of X given Y, where the columns of X are assumed to be
 mutually independent conditional on Y. Subsequently, the model is expanded
 by adding vine - copulas to relax the assumption of mutual independence,
 where pair-copulas are added in a stage-wise, forward selection manner. Some
 heuristics are employed during the process of selecting edges, as well as
 the families of pair-copula models. After each component is added, the
 parameters are updated by a (smaller) number of gradient steps to maximise
 the likelihood. When the algorithm has stopped adding edges, based the
 criterion that a new edge should improve the likelihood more than k times
 the number new parameters, the parameters are updated with a larger number
 of gradient steps, or until convergence.

Package: r-cran-logisticcurvefitting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-logisticcurvefitting_0.1.0-1.ca2004.1_all.deb
Size: 10772
MD5sum: 87d3b3984bb0efe0e5fb9cfbd4382e43
SHA1: 744b73c9700d78abf8888643c405b9c06ef337d2
SHA256: 9775c145914b43117f4139be944ad5e7a4a2e527f74241bf6ddc4a7561cb4aba
SHA512: 6ab342366bec510561e99df3a1e230489dda68983c5e231ade3e47002b5fac10b2ad4781351e5ed72ca6b4dc24b0842d491d516645e3b4397487ecbb3702e6cd
Homepage: https://cran.r-project.org/package=LogisticCurveFitting
Description: CRAN Package 'LogisticCurveFitting' (Logistic Curve Fitting by Rhodes Method)
 A system for fitting Logistic Curve by Rhodes Method. Method for fitting
 logistic curve by Rhodes Method is described in A.M.Gun,M.K.Gupta and
 B.Dasgupta(2019,ISBN:81-87567-81-3).

Package: r-cran-logisticdx
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-statmod, r-cran-speedglm, r-cran-rcolorbrewer, r-cran-data.table, r-cran-proc, r-cran-aod
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-logisticdx_0.3-1.ca2004.1_all.deb
Size: 900084
MD5sum: e2139c88ab3eff84cf2e5d48c9be9406
SHA1: 52b23b5fc0208d67bd95ad77212a63df011d0d32
SHA256: 0dc82f14777775928ffa42c890d6c086803887a9b815bda60dd4fef4cbd5e55d
SHA512: c007b7b3aaf20970c925f182e16c40caa6a78568bac887fa51284bab9816f71fae4a9037c11f5b180bf0d3de5c92e73bff3f82befb796ec3819bc670638bc893
Homepage: https://cran.r-project.org/package=LogisticDx
Description: CRAN Package 'LogisticDx' (Diagnostic Tests for Logistic Regression Models)
 Diagnostic tests and plots for GLMs (generalized linear models) with
 binomial/ binary outcomes, particularly logistic regression.

Package: r-cran-logisticensembles
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3242
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adabag, r-cran-arm, r-cran-brnn, r-cran-c50, r-cran-car, r-cran-corrplot, r-cran-cubist, r-cran-doparallel, r-cran-dplyr, r-cran-e1071, r-cran-gam, r-cran-gbm, r-cran-ggplot2, r-cran-ggplotify, r-cran-gridextra, r-cran-gt, r-cran-ipred, r-cran-klar, r-cran-machineshop, r-cran-magrittr, r-cran-mass, r-cran-mda, r-cran-pls, r-cran-proc, r-cran-purrr, r-cran-randomforest, r-cran-ranger, r-cran-reactable, r-cran-reactablefmtr, r-cran-readr, r-cran-rpart, r-cran-scales, r-cran-tidyr, r-cran-tree, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-logisticensembles_0.5.0-1.ca2004.1_all.deb
Size: 2286860
MD5sum: 3d3a2e9e00dac956b9116a2bd950f8bb
SHA1: c7c8e7d9d191fccd4d12da36385c4ad1cbc759f7
SHA256: ca5ac7dc92efd8f39cb65285e68f1ef6a2943616966d71345adb0aa5981b48dc
SHA512: 3186e3ae52deaa641fb39e623364e882001ef5e18f963d9638f73ff82b8ff6b930419607676cef45ace3a77355d065941f2d8893ba9f25625c647abb11697843
Homepage: https://cran.r-project.org/package=LogisticEnsembles
Description: CRAN Package 'LogisticEnsembles' (Automatically Runs 36 Logistic Models (Individual and Ensembles))
 Automatically returns 36 logistic models including 23 individual models and
 13 ensembles of models of logistic data. The package also returns 10 plots,
 5 tables, and a summary report. The package automatically builds all 36
 models, reports all results, and provides graphics to show how the models
 performed. This can be used for a wide range of data sets. The package
 includes medical data (the Pima Indians data set), and information about the
 performance of Lebron James. The package can be used to analyze many other
 examples, such as stock market data. The package automatically returns many
 values for each model, such as True Positive Rate, True Negative Rate, False
 Positive Rate, False Negative Rate, Positive Predictive Value, Negative
 Predictive Value, F1 Score, Area Under the Curve. The package also returns
 36 Receiver Operating Characteristic (ROC) curves for each of the 36 models.

Package: r-cran-logisticrci
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-logisticrci_1.1-1.ca2004.1_all.deb
Size: 40832
MD5sum: 18e1c374318367a91508d6a143134f87
SHA1: df6586368c45d73507edf1a637ed71fbee5b59d8
SHA256: b644ede2967782412d5b9d88ba8bf59c8ec0f7a6cb2dc47b49295e4efc5177cb
SHA512: 71bb9361999df574c3a2e45de4222512f7c2d384ad3d635f7dadd78183ab651a0f99e9adfb2dde5636197425c4e7c73e492bad47fe9ef4736585cb1376180c96
Homepage: https://cran.r-project.org/package=LogisticRCI
Description: CRAN Package 'LogisticRCI' (Linear and Logistic Regression-Based Reliable Change Index)
 Here we provide an implementation of the linear and logistic
 regression-based Reliable Change Index (RCI), to be used with lm and
 binomial glm model objects, respectively, following Moral et al.
 <https://psyarxiv.com/gq7az/>. The RCI function returns a score assumed to
 be approximately normally distributed, which is helpful to detect patients
 that may present cognitive decline.

Package: r-cran-logisticrr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-logisticrr_0.3.0-1.ca2004.1_all.deb
Size: 100320
MD5sum: 8f5916eb10a7f2bfc01a0e36f2c72f03
SHA1: 72b2c86746493b2af3d65cfe090a7429dc9c53e4
SHA256: 7d354c9dedc99e44293092c5b59d808f8171e7ecbd2a06603126f36aa49fb9c3
SHA512: e843f0e3e7bb7a6011eaf9bd7b2ef9bdceb51256a5fb0f7d82da220dbd8bef47c542325e69388655acff3fe2c9d2ceb6a768e06df638a3b06931b69ff83c8db2
Homepage: https://cran.r-project.org/package=logisticRR
Description: CRAN Package 'logisticRR' (Adjusted Relative Risk from Logistic Regression)
 Adjusted odds ratio conditional on potential confounders can be directly
 obtained from logistic regression. However, those adjusted odds ratios have
 been widely incorrectly interpreted as a relative risk. As relative risk is
 often of interest in public health, we provide a simple code to return
 adjusted relative risks from logistic regression model under potential
 confounders.

Package: r-cran-logitfd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-expm, r-cran-proc, r-cran-fda.usc
Filename: pool/dists/focal/main/r-cran-logitfd_1.0-1.ca2004.1_all.deb
Size: 48996
MD5sum: 1aab899d79a398c4c496898b245821ac
SHA1: 58595c0e9799d42f842e9b0249f501f489f765a1
SHA256: d15ec8f795dbcd57258a36134373107b144992ee5a16a48ec64536b12cb8688d
SHA512: af84ebf648367923f91ecb333283e59794ee48720d17cc851a2bd2d9586633655a7ed04d48e001946e31a9b69b8ba49d67143781c39aad51a3d2bf0dacba0a03
Homepage: https://cran.r-project.org/package=logitFD
Description: CRAN Package 'logitFD' (Functional Principal Components Logistic Regression)
 Functions for fitting a functional principal components logit regression
 model in four different situations: ordinary and filtered functional
 principal components of functional predictors, included in the model
 according to their variability explanation power, and according to their
 prediction ability by stepwise methods. The proposed methods were developed
 in Escabias et al (2004) <doi:10.1080/10485250310001624738> and Escabias et
 al (2005) <doi:10.1016/j.csda.2005.03.011>.

Package: r-cran-logitnorm
Architecture: all
Version: 0.8.39-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-logitnorm_0.8.39-1.ca2004.1_all.deb
Size: 200612
MD5sum: ab18a862fc45f04be28cf159765e53e6
SHA1: 7eac63443bc65b59eeeff058603c58f98aca5cb5
SHA256: 582d5e2239fc99df21f86fa0a3e4607aebe03a2a03f54e13ccaef9baf80a3f02
SHA512: 569ae92fe1ee4805af47a2306b4a1fe7cd8d39f7bab0de4ad1fc2c314a8e647fa87d7c81edb3e7563d98d80cf66efbee59ad42a421bb535ac0ce1e90a94057bf
Homepage: https://cran.r-project.org/package=logitnorm
Description: CRAN Package 'logitnorm' (Functions for the Logitnormal Distribution)
 Density, distribution, quantile and random generation function for the
 logitnormal distribution. Estimation of the mode and the first two moments.
 Estimation of distribution parameters.

Package: r-cran-logitr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-mass, r-cran-nloptr, r-cran-randtoolbox, r-cran-tibble
Suggests: r-cran-apollo, r-cran-broom, r-cran-broom.helpers, r-cran-dplyr, r-cran-fastdummies, r-cran-ggplot2, r-cran-ggrepel, r-cran-gmnl, r-cran-gtsummary, r-cran-here, r-cran-kableextra, r-cran-knitr, r-cran-mixl, r-cran-mlogit, r-cran-rmarkdown, r-cran-testthat, r-cran-texreg, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-logitr_1.1.2-1.ca2004.1_all.deb
Size: 2473576
MD5sum: 99056a25683e1059061630b5e060236f
SHA1: 71b292975663c9bf23fa50ac2ae91a1e51d65219
SHA256: 25224f61a08b2bee0327547de9e977eed42138db15d5c1cca430c93e129a517a
SHA512: 117adb09ddf50a937267b769c53b065cb9f67af7a83dc3c3ba7b5b56e292b348651728abb72a7a2a016eddd2b59bbff5fa11c0ee4c9de8bab3d4384941389e9f
Homepage: https://cran.r-project.org/package=logitr
Description: CRAN Package 'logitr' (Logit Models w/Preference & WTP Space Utility Parameterizations)
 Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R.
 Models can be estimated using "Preference" space or "Willingness-to-pay"
 (WTP) space utility parameterizations. Weighted models can also be
 estimated. An option is available to run a parallelized multistart
 optimization loop with random starting points in each iteration, which is
 useful for non-convex problems like MXL models or models with WTP space
 utility parameterizations. The main optimization loop uses the 'nloptr'
 package to minimize the negative log-likelihood function. Additional
 functions are available for computing and comparing WTP from both preference
 space and WTP space models and for predicting expected choices and choice
 probabilities for sets of alternatives based on an estimated model. Mixed
 logit models can include uncorrelated or correlated heterogeneity
 covariances and are estimated using maximum simulated likelihood based on
 the algorithms in Train (2009) <doi:10.1017/CBO9780511805271>. More details
 can be found in Helveston (2023) <doi:10.18637/jss.v105.i10>.

Package: r-cran-logmult
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gnm, r-cran-qvcalc
Suggests: r-cran-survey, r-cran-boot, r-cran-ellipse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-logmult_0.7.4-1.ca2004.1_all.deb
Size: 548164
MD5sum: f7d27261eb2f663be8d98d4559f638a5
SHA1: 8fa598e28da032274459a9adcf094944600e5827
SHA256: 8a5b1515ea653e3793b5c88c71dda9024f8487527e28fe534f6064a80b62a522
SHA512: 94080001726347bf2d24d1169f9d2a6dd995d5ead0bf796656180f941c4cf6e9b78b5952788e581d51ca4cf932cdbe28a237f6a0f7bd03b05ab50d4cde5e390c
Homepage: https://cran.r-project.org/package=logmult
Description: CRAN Package 'logmult' (Log-Multiplicative Models, Including Association Models)
 Functions to fit log-multiplicative models using 'gnm', with support for
 convenient printing, plots, and jackknife/bootstrap standard errors. For
 complex survey data, models can be fitted from design objects from the
 'survey' package. Currently supported models include UNIDIFF (Erikson &
 Goldthorpe, 1992), a.k.a. log-multiplicative layer effect model (Xie, 1992)
 <doi:10.2307/2096242>, and several association models: Goodman (1979)
 <doi:10.2307/2286971> row-column association models of the RC(M) and RC(M)-L
 families with one or several dimensions; two skew-symmetric association
 models proposed by Yamaguchi (1990) <doi:10.2307/271086> and by van der
 Heijden & Mooijaart (1995) <doi:10.1177/0049124195024001002> Functions allow
 computing the intrinsic association coefficient (see Bouchet-Valat (2022)
 <doi:10.1177/0049124119852389>) and the Altham (1970) index
 <doi:10.1111/j.2517-6161.1970.tb00816.x>, including via the Bayes shrinkage
 estimator proposed by Zhou (2015) <doi:10.1177/0081175015570097>; and the
 RAS/IPF/Deming-Stephan algorithm.

Package: r-cran-logngpd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-evd, r-cran-rdpack, r-cran-lnpar, r-cran-envstats
Filename: pool/dists/focal/main/r-cran-logngpd_0.1.0-1.ca2004.1_all.deb
Size: 35820
MD5sum: 740ac38ca2a7794797119dca261343cc
SHA1: 5b79ade06e9e107349aaf81f062cba308e2ff7b9
SHA256: b1c007f8d62ba1ed169cbbcdba0a618450213d4bd13e5a73fe4ef0eac6f44e03
SHA512: c43c064614aedc0e6c814453d6b987067d34a5e8717229332e8e791131ad64f06ab0c4e1ad2e5b17572c3e6ef3e30571d670b235cbfa7a1773180c6143904fe7
Homepage: https://cran.r-project.org/package=lognGPD
Description: CRAN Package 'lognGPD' (Estimation of a Lognormal - Generalized Pareto Mixture)
 Estimation of a lognormal - Generalized Pareto mixture via the
 Expectation-Maximization algorithm. Computation of bootstrap standard errors
 is supported and performed via parallel computing. Functions for random
 number simulation and density evaluation are also available. For more
 details see Bee and Santi (2025) <doi:10.48550/arXiv.2505.22507>.

Package: r-cran-lognorm
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1909
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-dplyr, r-cran-ggplot2, r-cran-mvtnorm, r-cran-purrr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-lognorm_0.1.10-1.ca2004.1_all.deb
Size: 575356
MD5sum: 92acfd3599d45bd49d022b23a9de41fc
SHA1: 1a894c734253b81e4b5c5061bb7de3704c6c020f
SHA256: b91a9b2419c81a2f93b8301d17ed6f0ec5b9ba129acefb77b466724c9746581a
SHA512: b64ff7d37b2c4ae4a1b54b7e7db785464c6ac5870159d1ec6807938d74f9f731265c80f6b2ad9c99042e1a08dc883c45e46c5323825fc415f3147bda733b71e3
Homepage: https://cran.r-project.org/package=lognorm
Description: CRAN Package 'lognorm' (Functions for the Lognormal Distribution)
 The lognormal distribution (Limpert et al. (2001)
 <doi:10.1641/0006-3568(2001)051%5B0341:lndats%5D2.0.co;2>) can characterize
 uncertainty that is bounded by zero.  This package provides estimation of
 distribution parameters, computation of moments and other basic statistics,
 and an approximation of the distribution of the sum of several correlated
 lognormally distributed variables (Lo 2013 <doi:10.12988/ams.2013.39511>)
 and the approximation of the difference of two correlated lognormally
 distributed variables (Lo 2012 <doi:10.1155/2012/838397>).

Package: r-cran-lognormreg
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lognormreg_0.5-0-1.ca2004.1_all.deb
Size: 140616
MD5sum: 606b6343210b9cfdc55f8fdf083cfae4
SHA1: 8d3633f8003501ca4f64bf75ceb78eb8f1c8c369
SHA256: cf3ae8e29956c0621d445bc06cd71a8a399a263c1392ff0d8cfc2ea79207786b
SHA512: 33c38bdc31f96cfdff06cb47098b3aa7566e7ba46d06895d8f0bbe41520db19eadf720ca29bb0632ea63719042a66d9955ba7bad7d8d6cf4645aea53a9b75c4f
Homepage: https://cran.r-project.org/package=logNormReg
Description: CRAN Package 'logNormReg' (log Normal Linear Regression)
 Functions to fits simple linear regression models with log normal errors and
 identity link, i.e. taking the responses on the original scale. See Muggeo
 (2018) <doi:10.13140/RG.2.2.18118.16965>.

Package: r-cran-logofgamma
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-logofgamma_0.0.1-1.ca2004.1_all.deb
Size: 11248
MD5sum: 30fc8edda7970e3cbc0fa0faec9850e3
SHA1: 83ed9cf9cda45175d4bfb8a6db8b443f66043fb8
SHA256: a61314bbbe4bdab6eb3f68d34182946add4e36d3cd0fcf9fad41c5711863b163
SHA512: 6854bc24c504dd210944b15ddfcd841f1c17e51ed021660cbd5d7382cb39e7da7767882709a148144c8a675910119b4ec33b730780614f16007359c29f015726
Homepage: https://cran.r-project.org/package=logOfGamma
Description: CRAN Package 'logOfGamma' (Natural Logarithms of the Gamma Function for Large Values)
 Uses approximations to compute the natural logarithm of the Gamma function
 for large values.

Package: r-cran-logos
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3261
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-logos_0.1.0-1.ca2004.1_all.deb
Size: 3299288
MD5sum: 0917212f2ea258c1d8f9285c0c9a8add
SHA1: 01b8d9f97bb60638934bb1088815fefdd26b6bb2
SHA256: f9c1cc25771977d6a8d88cee6d8d1b6ac79b7aa07d35528491d6c908420f3c93
SHA512: b45f0f38618a4afaf4031f4483186359952c1d956be5f06cb538e6f486ba0764075e6280cd228121726c022e1756e004312cff264f23c0db9990aab70cc35dce
Homepage: https://cran.r-project.org/package=logos
Description: CRAN Package 'logos' (Access to the Hebrew, Greek, and English Version of the Bible)
 Access to the Greek New Testament (27 books) and the Old Testament (39
 books) and allow users to do textual analysis on the data. The New and Old
 Testament have been provided in their original languages, Greek and Hebrew,
 respectively. Additionally, the Revised American Standard Bible is also
 provided for users who'd rather use a word–for–word modern English
 translation.

Package: r-cran-logr
Architecture: all
Version: 1.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-common, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidylog, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-logr_1.3.9-1.ca2004.1_all.deb
Size: 295340
MD5sum: 1da33a870fc626a96644c1c3eb79538b
SHA1: 483ecf34658990648c8ac75e809b702d87cd9640
SHA256: d69e069994fed530c65119dd30f27bc769e2604b0575172908918c717f17753f
SHA512: 566f19a9d6a06dc14db2219a6aedc9feba725f115466ad1b2ebdb3d8340dea3d0ed6d9222a8b6e11abbe7b3de70f86e0d9b0c77e16ce8426c220162e5242f1c5
Homepage: https://cran.r-project.org/package=logr
Description: CRAN Package 'logr' (Creates Log Files)
 Contains functions to help create log files.  The package aims to overcome
 the difficulty of the base R sink() command.  The log_print() function will
 print to both the console and the file log, without interfering in other
 write operations.

Package: r-cran-logranka
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-logranka_1.0-1.ca2004.1_all.deb
Size: 18408
MD5sum: 817acea696bcb7d3464f2e422501af07
SHA1: 5fbb937a3bfef7fd91f5d487a7bac5191bc68caf
SHA256: eef60bfb59785ee06d088bc8ba6d9c4e960c9152460071bdd2b9e4e0050a1b66
SHA512: 74c7dc1cb7ffcd61c9a426fbfafbf3191cbe1a7056c73e3c740b47f0a3c3109ef6bceec27457f7ab1eaf36cafb188ee9cca7ccfdf38a1985a0cc9f4ad61b3673
Homepage: https://cran.r-project.org/package=LogrankA
Description: CRAN Package 'LogrankA' (Logrank Test for Aggregated Survival Data)
 LogrankA provides a logrank test across unlimited groups with the
 possibility to input aggregated survival data.

Package: r-cran-logregequiv
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-logregequiv_0.1.5-1.ca2004.1_all.deb
Size: 64688
MD5sum: 0581b6497fcac6b0118f01e9bcfc57da
SHA1: bf167d7552239abc4658297382263cc49397ce58
SHA256: e82d6ca2ed66ed223d27a7508f5377f7f70cc5d55d4eab637ae8d9ab31304b95
SHA512: dd3cabfb2a8f22ef8ab1f42136b446f567ca3e924ffbcfcb23612530fdbe4468e39cdd43285d3bfcaded11f0a6ab16b253e3be8c3ea349129b4f14c789ceaccf
Homepage: https://cran.r-project.org/package=LogRegEquiv
Description: CRAN Package 'LogRegEquiv' (Logistic Regression Equivalence)
 Tools for assessing equivalence of similar Logistic Regression models.

Package: r-cran-logrx
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-stringr, r-cran-sessioninfo, r-cran-stringi, r-cran-tibble, r-cran-digest, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-covr, r-cran-pkgdown, r-cran-tplyr, r-cran-haven, r-cran-lintr, r-cran-xml2, r-cran-here, r-cran-readr, r-cran-rstudioapi, r-cran-tidyselect, r-cran-renv, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-logrx_0.4.0-1.ca2004.1_all.deb
Size: 271296
MD5sum: 0a02648857d5eb44bba77c92a8bdb453
SHA1: 1b74d886b0e53def52f4210adc0c613cc8409568
SHA256: f734652f4f2a8603d1f937965c936be8eba95c67a49f45261dfabd0871ab3630
SHA512: 28c769ad621655239f19e6973f7665799077e3aed17b1ff5322b869cbc501a767f7a3ae1089eb87e4aab99d82a16935128143b5031f762bddabad3fcc4c87732
Homepage: https://cran.r-project.org/package=logrx
Description: CRAN Package 'logrx' (A Logging Utility Focus on Clinical Trial Programming Workflows)
 A utility to facilitate the logging and review of R programs in clinical
 trial programming workflows.

Package: r-cran-logrxaddin
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-logrx, r-cran-stringr, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny, r-cran-waiter
Filename: pool/dists/focal/main/r-cran-logrxaddin_0.0.1-1.ca2004.1_all.deb
Size: 15816
MD5sum: 9aa92133ffba7c5d9a9e8289a697f66b
SHA1: 925ded7397da7f4e4037488433a29facca71bff7
SHA256: d312030e0c40298e614730462973b9ab00dcf626b962580716ea8c5f76cb7219
SHA512: 433cf9ca559f50bc7ee8898258a420951333e199c683269076a12769d2daea3ca31e54fcf959f4a5affb6be352a43d34b3b068ba55948530b844eb58a68edaf6
Homepage: https://cran.r-project.org/package=logrxaddin
Description: CRAN Package 'logrxaddin' (Addin for the 'logrx' Package)
 This is an extension package to 'logrx', which is a log creation program
 focused on Clinical Reporting within the Pharma Industry.  This package
 enables a simple 'shiny-based' Add-in that provides a point and click
 interface to produce a log for a single program.

Package: r-cran-lolliplot
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-scales, r-bioc-iranges, r-cran-grimport, r-bioc-genomicranges
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lolliplot_0.2.2-1.ca2004.1_all.deb
Size: 105608
MD5sum: 34f07e338f2fcd4eb722c8ee40dd3a97
SHA1: 0102c2a027bd990490b4caa70a18c96584b0cc13
SHA256: 5713ddff441077590c656081cca0cf3dc0c601adc69b9aef6866595a1790ae32
SHA512: 828a8c883fe4963f6149f37c1d023dc0f11fe06912c02a583b31f6e84c6a928e7f5b6add498458dd1693021b030dbff1652d1dc6201a0a47f88652a01ca17dd5
Homepage: https://cran.r-project.org/package=lolliplot
Description: CRAN Package 'lolliplot' (Plot Variants and Somatic Mutations)
 Draw lolliplot using GRanges objects. this package was designed only for
 drawing lolliplot. So, it's faster than 'trackViewer', but un-related
 functions has been derived.

Package: r-cran-lolr
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-abind, r-cran-mass, r-cran-irlba, r-cran-pls, r-cran-robust, r-cran-robustbase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-latex2exp, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-lolr_2.1-1.ca2004.1_all.deb
Size: 2654208
MD5sum: 213a1f09d4f5cecc05261b09e91f5d46
SHA1: 703e01ba5abf9d2e69bf99242763a294234e1d93
SHA256: 05feb13c6277002629897e6d86fe0d8f9f68aae2688f5d1a08c3e6e04311c30d
SHA512: b3db7e5d3c2595251258900f0a47e5261af87d34035de187fe50bee7138aa5893e18baea6f23f373da3438f2661a8acb9e446ac3cf6b2faab9d821dafe303e4a
Homepage: https://cran.r-project.org/package=lolR
Description: CRAN Package 'lolR' (Linear Optimal Low-Rank Projection)
 Supervised learning techniques designed for the situation when the
 dimensionality exceeds the sample size have a tendency to overfit as the
 dimensionality of the data increases. To remedy this High dimensionality;
 low sample size (HDLSS) situation, we attempt to learn a lower-dimensional
 representation of the data before learning a classifier. That is, we project
 the data to a situation where the dimensionality is more manageable, and
 then are able to better apply standard classification or clustering
 techniques since we will have fewer dimensions to overfit. A number of
 previous works have focused on how to strategically reduce dimensionality in
 the unsupervised case, yet in the supervised HDLSS regime, few works have
 attempted to devise dimensionality reduction techniques that leverage the
 labels associated with the data. In this package and the associated
 manuscript Vogelstein et al. (2017) <arXiv:1709.01233>, we provide several
 methods for feature extraction, some utilizing labels and some not, along
 with easily extensible utilities to simplify cross-validative efforts to
 identify the best feature extraction method. Additionally, we include a
 series of adaptable benchmark simulations to serve as a standard for future
 investigative efforts into supervised HDLSS. Finally, we produce a
 comprehensive comparison of the included algorithms across a range of
 benchmark simulations and real data applications.

Package: r-cran-lomb
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-plotly, r-cran-pracma, r-cran-knitr
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lomb_2.5.0-1.ca2004.1_all.deb
Size: 1608224
MD5sum: f137f4433f9688e8a12b26549ce50ea0
SHA1: ebaff2e7ac244989e2b0ed11de7f6eb9826457cf
SHA256: 1049d27340cafca4dfabe041bdad37db39f63a1ec68d0f5b1235c6c7485dbd08
SHA512: 7c95ea13f4392d5619ce90e5a38b6a37af662dc41e243c6a0afc369a692a60cb35df6e9b56b2ad97163a2ea98bb1d073d15f6d23c275871deb506d17946f4d78
Homepage: https://cran.r-project.org/package=lomb
Description: CRAN Package 'lomb' (Lomb-Scargle Periodogram)
 Computes the Lomb-Scargle Periodogram and actogram for evenly or unevenly
 sampled time series. Includes a randomization procedure to obtain exact
 p-values. Partially based on C original by Press et al. (Numerical Recipes)
 and the Python module Astropy. For more information see Ruf, T. (1999). The
 Lomb-Scargle periodogram in biological rhythm research: analysis of
 incomplete and unequally spaced time-series. Biological Rhythm Research,
 30(2), 178-201.

Package: r-cran-long2lstmarray
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-long2lstmarray_0.2.0-1.ca2004.1_all.deb
Size: 53160
MD5sum: 5540d8b85a8d0f50704087418a914f1b
SHA1: aa5e0bda8c52c8fa7484fe524000f1ea3b8f1378
SHA256: b7b233b94cfcb8310b7391e03ba7c53d023f2ea96a30e169e471a160e6a38d1e
SHA512: 609205a3a3391fa7d625e6cf1790afa25cd6e2113ee943ba4e16fd4ccee4d4b9779ee841377023a48df1e4249ed3eab5afc06785332e6fa5a4ba5ebc265a7c5e
Homepage: https://cran.r-project.org/package=long2lstmarray
Description: CRAN Package 'long2lstmarray' (Longitudinal Dataframes into Arrays for Machine LearningTraining)
 An easy tool to transform 2D longitudinal data into 3D arrays suitable for
 Long short-term memory neural networks training. The array output can be
 used by the 'keras' package. Long short-term memory neural networks are
 described in: Hochreiter, S., & Schmidhuber, J. (1997)
 <doi:10.1162/neco.1997.9.8.1735>.

Package: r-cran-longcart
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlme, r-cran-rpart, r-cran-survival, r-cran-magic, r-cran-survminer, r-cran-formula
Filename: pool/dists/focal/main/r-cran-longcart_3.2-1.ca2004.1_all.deb
Size: 312132
MD5sum: ecde19ce46bf7792c63e8a5fbe6c45bf
SHA1: 6b7f56482b916a5b0b2f6f75aac2a1cbb3f7cd6e
SHA256: 5e52701921a873017f50ebf064156886b03fa731a351644b9b447f150c4ed03e
SHA512: ebaa096db65231edbb0f87426480e498d3b15e5e57cb29114dc624d1f46ba9d3ec08e4460ce5e36a88cecef87b9d552030edf86175a3bd72fda6ece8d82f0f2b
Homepage: https://cran.r-project.org/package=LongCART
Description: CRAN Package 'LongCART' (Recursive Partitioning for Longitudinal Data and Right CensoredData Using Baseline Covariates)
 Constructs tree for continuous longitudinal data and survival data using
 baseline covariates as partitioning variables according to the 'LongCART'
 and 'SurvCART' algorithm, respectively. Later also included functions to
 calculate conditional power and predictive power of success based on interim
 results and probability of success for a prospective trial.

Package: r-cran-longcateda
Architecture: all
Version: 0.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rcolorbrewer, r-cran-colorspace, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-longcateda_0.31-1.ca2004.1_all.deb
Size: 122020
MD5sum: 3bf38f682f41cd4a01d1d8541359b98a
SHA1: 44b7e51d37c37f31f715bf49d05d72837b4ce80f
SHA256: 6807ddd1570d6f3cba1b892daf78e5a070cf9dfbed19952d54a6cd8272191bdf
SHA512: ea45cce567c8bd0fda6d1b34aa5b580dfa1c8396200c3725ba7a4026a9035359f81534d3c3601099ed38336ecc4e1a4efb49b8cc8bb1bd9974bef9a36a71cb45
Homepage: https://cran.r-project.org/package=longCatEDA
Description: CRAN Package 'longCatEDA' (Package for Plotting Categorical Longitudinal and Time-SeriesData)
 Methods for plotting categorical longitudinal and time-series data by
 mapping individuals to the vertical space (each horizontal line represents a
 participant), time (or repeated measures) to the horizontal space,
 categorical (or discrete) states as facets using color or shade, and events
 to points using plotting characters. Sorting individuals in the vertical
 space and (or) stratifying them by groups can reveal patterns in the changes
 over time.

Package: r-cran-longdat
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1731
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-reshape2, r-cran-glmmtmb, r-cran-emmeans, r-cran-bestnormalize, r-cran-mass, r-cran-ggplot2, r-cran-stringr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-rlang, r-cran-car, r-cran-rstatix, r-cran-effsize, r-cran-tidyr, r-cran-patchwork
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-longdat_1.1.3-1.ca2004.1_all.deb
Size: 717448
MD5sum: 62d5d1bc6e5b3a4cf230eef874eee643
SHA1: eeb412dba495300d10bbf73da5d4f8dfe3e70303
SHA256: 0583ea0128edb203b4c918d19ba7e82483e13dcb7b790bf32ef0bf3a8dfbe890
SHA512: 5dc214fae901802645c688ab8603f1b5478231be87b99ed24ca54be4b6a9634d9d8a6374f94f952a766b6d4941d55b00da3308f096e6f065ca79a4a25fe1c1eb
Homepage: https://cran.r-project.org/package=LongDat
Description: CRAN Package 'LongDat' (A Tool for 'Covariate'-Sensitive Longitudinal Analysis on'omics' Data)
 This tool takes longitudinal dataset as input and analyzes if there is
 significant change of the features over time (a proxy for treatments), while
 detects and controls for 'covariates' simultaneously. 'LongDat' is able to
 take in several data types as input, including count, proportion, binary,
 ordinal and continuous data. The output table contains p values, effect
 sizes and 'covariates' of each feature, making the downstream analysis easy.

Package: r-cran-longit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aiccmodavg, r-cran-missforest, r-cran-r2jags, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-longit_0.1.0-1.ca2004.1_all.deb
Size: 69212
MD5sum: 267ac91883071ddfe805ff19dbe08899
SHA1: 383f2a87e00f7b00b1ae25bf22bf9870b1ed6991
SHA256: 34cb53c6b95f9899a9d9f48f838827e6d19e47b3e8ced21ec6eb23f9d627c3b7
SHA512: fde45f427589225cb4d30268fb5c08a67ed7216418309871a258da3041d242c3af94768d7e0807bebda8dac0aac6e766fcb7685524ddf3376235a587f53f9cbc
Homepage: https://cran.r-project.org/package=longit
Description: CRAN Package 'longit' (High Dimensional Longitudinal Data Analysis Using MCMC)
 High dimensional longitudinal data analysis with Markov Chain Monte
 Carlo(MCMC).  Currently support mixed effect regression with or without
 missing observations by considering covariance structures. It provides
 estimates by missing at random and missing not at random assumptions.  In
 this R package, we present Bayesian approaches that statisticians and
 clinical researchers can easily use. The functions' methodology is based on
 the book "Bayesian Approaches in Oncology Using R and OpenBUGS" by
 Bhattacharjee A (2020) <doi:10.1201/9780429329449-14>.

Package: r-cran-longitudinal
Architecture: all
Version: 1.1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-longitudinal_1.1.13-1.ca2004.1_all.deb
Size: 81576
MD5sum: f9169cd7c6d81e6afb50d9cbf5d40fe7
SHA1: bc44097030d1cad7479213f984ed5aeb498ae997
SHA256: c1def2a5be7a02272eb3a212ec0b6de90642176dddfd3e491c88e76d2523c168
SHA512: 520c86e855a0ad64825c38cc0362704f3de1952f27019f1557aac754ffc330f4d3152a44cdb64179ad2cebcf1458e9289e39c603ade42aa64190e02d8b69ce07
Homepage: https://cran.r-project.org/package=longitudinal
Description: CRAN Package 'longitudinal' (Analysis of Multiple Time Course Data)
 Contains general data structures and functions for longitudinal data with
 multiple variables, repeated measurements, and irregularly spaced time
 points.  Also implements a shrinkage estimator of dynamical correlation and
 dynamical covariance.

Package: r-cran-longitudinalanal
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-mass, r-cran-dlm
Filename: pool/dists/focal/main/r-cran-longitudinalanal_0.2-1.ca2004.1_all.deb
Size: 62140
MD5sum: c627be22e7c938906d810f6b0f7a3c30
SHA1: 349e12ade5e17612b40a01cbac2b1206921ea1bb
SHA256: 6f0f018c8b5033ac3501553fb2ee3bc9f5a5b4c4d94f31c529aaa7b4184ccd93
SHA512: 72179b29d24a4bc1b3ec812a1749f3b68d73dd11336a4de360ae9848d75b60723e8cdf1751eb7dc500f32fafe1dc2696c9b33ebf5d698571d3324691c741988e
Homepage: https://cran.r-project.org/package=longitudinalANAL
Description: CRAN Package 'longitudinalANAL' (Longitudinal Data Analysis)
 Regression analysis of mixed sparse synchronous and asynchronous
 longitudinal covariates. Please cite the manuscripts corresponding to this
 package: Sun, Z. et al. (2023) <arXiv:2305.17715> and Liu, C. et al. (2023)
 <arXiv:2305.17662>.

Package: r-cran-longitudinalcascade
Architecture: all
Version: 0.3.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-survival, r-cran-ggplot2, r-cran-tidyr, r-cran-zoo, r-cran-scales, r-cran-rlang, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-longitudinalcascade_0.3.2.6-1.ca2004.1_all.deb
Size: 301056
MD5sum: 2dd5b3dcbe42793e21d7c192599cc817
SHA1: 8036538f8358aabe41a450c790cda56bc8dddc29
SHA256: bd94155beed7976162d302597c8a286a64101995186193923c5ac0d0bf0db841
SHA512: 14bac89bc01fe7950273311f37a032b77772ffcfa161824a2952e8171eb2ff18699870288fc9690295d450e1d2bfb9333ec06a668089943c7701aaa4540bc9cf
Homepage: https://cran.r-project.org/package=longitudinalcascade
Description: CRAN Package 'longitudinalcascade' (Longitudinal Cascade)
 Creates a series of sets of graphics and statistics related to the
 longitudinal cascade, all included in a single object. The longitudinal
 cascade inputs longitudinal data to identify gaps in the HIV and related
 cascades by observing differences using time to event and survival methods.
 The stage definitions are set by the user, with default standard options.
 Outputs include graphics, datasets, and formal statistical tests.

Package: r-cran-longitudinaldata
Architecture: all
Version: 2.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clv, r-cran-class, r-cran-rgl, r-cran-misc3d
Filename: pool/dists/focal/main/r-cran-longitudinaldata_2.4.7-1.ca2004.1_all.deb
Size: 537688
MD5sum: 0c19106fbf3448c2deb59bb029d7a492
SHA1: 42c48794c50ae59d0613b988386ef18dd96c95d2
SHA256: f5dc26f1e56490549865aa8dda65d144f406443624a731623fc5ca4eef442636
SHA512: 36ddde10aca4f96d2d730b84044e6088ba1c33d786fa96710c7ae74f6ee5cff9173954a92cb827b0ce26431dc22cd0a845f5a72d7849e6b217e06fd3f26da6ad
Homepage: https://cran.r-project.org/package=longitudinalData
Description: CRAN Package 'longitudinalData' (Longitudinal Data)
 Tools for longitudinal data and joint longitudinal data (used by packages
 kml and kml3d).

Package: r-cran-longiturf
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-rpart, r-cran-mvtnorm, r-cran-latex2exp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-longiturf_0.9-1.ca2004.1_all.deb
Size: 152944
MD5sum: 2488c84515a48dfb307fcd7659980549
SHA1: 8e0ba6b6703862efbacf7dacff16a36824b46f2f
SHA256: b2a95dc872d5d7affe87c6b6b48706b1cf813b88770e120a1579c84f403b715d
SHA512: 4dcef0af358133cb0cb1c02984b64d0ec03de313103ee4d85a9e321ea7d77ff9fb2c7c1ab27b3381d5766b57eee4b67269b41d11f22949b4df301053761ef913
Homepage: https://cran.r-project.org/package=LongituRF
Description: CRAN Package 'LongituRF' (Random Forests for Longitudinal Data)
 Random forests are a statistical learning method widely used in many areas
 of scientific research essentially for its ability to learn complex
 relationships between input and output variables and also its capacity to
 handle high-dimensional data. However, current random forests approaches are
 not flexible enough to handle longitudinal data.  In this package, we
 propose a general approach of random forests for high-dimensional
 longitudinal data. It includes a flexible stochastic model which allows the
 covariance structure to vary over time. Furthermore, we introduce a new
 method which takes intra-individual covariance into consideration to build
 random forests. The method is fully detailled in Capitaine et.al. (2020)
 <doi:10.1177/0962280220946080> Random forests for high-dimensional
 longitudinal data.

Package: r-cran-longke
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tidyr, r-cran-bvls, r-cran-fdapace, r-cran-mvtnorm, r-cran-dplyr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-longke_0.1.0-1.ca2004.1_all.deb
Size: 55052
MD5sum: d06cdfd2afc397336daae55f0aa7547c
SHA1: c15e9b864836660fe514bc6c2996be325e63efe3
SHA256: 9b63851fdfc41b44ae78eab34bcef41de892f72c9d8ac167f90d5015ff9a846e
SHA512: aef0ffb332aadc0d3e2bd16ed7031913c5c997427538801d15e88e94cbb65c648a56ffa40a1056d0cebe07a213d35753f5adbc130bb50b255425fe3bdcbce1ee
Homepage: https://cran.r-project.org/package=longke
Description: CRAN Package 'longke' (Nonparametric Predictive Model for Sparse and IrregularLongitudinal Data)
 The proposed method aims at predicting the longitudinal mean response
 trajectory by a kernel-based estimator. The kernel estimator is constructed
 by imposing weights based on subject-wise similarity on L2 metric space
 between predictor trajectories as well as time proximity.  Users could also
 perform variable selections to derive functional predictors with predictive
 significance by the proposed multiplicative model with multivariate Gaussian
 kernels.

Package: r-cran-longmemo
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-longmemo_1.1-3-1.ca2004.1_all.deb
Size: 215100
MD5sum: 7d9b163ae73af3b03d06dbd518a7ec67
SHA1: e21db9b2d54a119e936b9a6534eaa02ccf585814
SHA256: 9c7592fed7e8de91ddc32ea4d6fb6a0f4f5f3fc8fbed0ac3dbab73f7b913cd7d
SHA512: e46693be9b69f5e78780cc9ff50d6c08d98e6caa1d9e996b9ad6db03572323cf3e984f1e7e9671856714c63eadaca71951a5ab739281980722750d2d27c9a0a8
Homepage: https://cran.r-project.org/package=longmemo
Description: CRAN Package 'longmemo' (Statistics for Long-Memory Processes (Book Jan Beran), andRelated Functionality)
 Datasets and Functionality from 'Jan Beran' (1994). Statistics for
 Long-Memory Processes; Chapman & Hall.  Estimation of Hurst (and more)
 parameters for fractional Gaussian noise, 'fARIMA' and 'FEXP' models.

Package: r-cran-longmixr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3019
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-bioc-consensusclusterplus, r-cran-flexmix, r-cran-statmatch
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggalluvial, r-cran-factominer, r-cran-factoextra, r-cran-lme4, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-longmixr_1.0.0-1.ca2004.1_all.deb
Size: 2160200
MD5sum: a735688c3b4395f98e26a03fb78b97bb
SHA1: d24401fc02a939299b2598b70ef1058f9b32952a
SHA256: 598f6ffe316d44bd672a0b63f7e71722a698c3d8a0c169ee19be917e3352cf9a
SHA512: 0d8c8887f855ec740a41d79a03680ad87a3d54776a530e8ff9869a2d7618681cd496f1a650e26e0fc385f5728dc3f83f925c6627942fafa4cfc24035c51d34e5
Homepage: https://cran.r-project.org/package=longmixr
Description: CRAN Package 'longmixr' (Longitudinal Consensus Clustering with 'flexmix')
 An adaption of the consensus clustering approach from 'ConsensusClusterPlus'
 for longitudinal data. The longitudinal data is clustered with flexible
 mixture models from 'flexmix', while the consensus matrices are
 hierarchically clustered as in 'ConsensusClusterPlus'. By using the
 flexibility from 'flexmix' and 'FactoMineR', one can use mixed data types
 for the clustering.

Package: r-cran-longpower
Architecture: all
Version: 1.0.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-nlme
Suggests: r-cran-gee, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-longpower_1.0.27-1.ca2004.1_all.deb
Size: 119628
MD5sum: 47c0fabf2f50eb664d682368ec111825
SHA1: f868c97883bb92e22eeb47d6a61ecbcaa76fc7a7
SHA256: 9036e22ca59a5cbe94795de6e4781e1f99be576092d13120306b91b9c505ea94
SHA512: 9d3ab77d3ef3f045f3926ed377f5f826184552fd8b4958f61b32ab68bf104b4f784fa01106774e0584cb31b7c73e05c7a9d1a2a3844950e0317122bc88fc6b29
Homepage: https://cran.r-project.org/package=longpower
Description: CRAN Package 'longpower' (Sample Size Calculations for Longitudinal Data)
 Compute power and sample size for linear models of longitudinal data.
 Supported models include mixed-effects models and models fit by generalized
 least squares and generalized estimating equations. The package is described
 in Iddi and Donohue (2022) <DOI:10.32614/RJ-2022-022>. Relevant formulas are
 derived by Liu and Liang (1997) <DOI:10.2307/2533554>, Diggle et al (2002)
 <ISBN:9780199676750>, and Lu, Luo, and Chen (2008)
 <DOI:10.2202/1557-4679.1098>.

Package: r-cran-longreadvqs
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4041
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-bioc-biostrings, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-bioc-iranges, r-cran-magrittr, r-cran-plyr, r-cran-purrr, r-bioc-qsutils, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-scales, r-cran-seqinr, r-cran-stringdist, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-longreadvqs_0.1.3-1.ca2004.1_all.deb
Size: 1242764
MD5sum: e53591132dab0589c0e028c212b4716e
SHA1: 638bfa01f8ed6818a30db1ce645b0795cfa601a4
SHA256: 1255b0ff62cd0539fd9cfe4a8b01034af91024af270b4ac1b5aff95de52d4ffe
SHA512: 207486ce96d935cb653b7a75a51ddc81fd8a66fc62e3485a0d96583de7e330636d9e534ae51e67e23f50b8d50a5ff422d8bb8784ad72c7f40257e38a1569937b
Homepage: https://cran.r-project.org/package=longreadvqs
Description: CRAN Package 'longreadvqs' (Viral Quasispecies Comparison from Long-Read Sequencing Data)
 Performs variety of viral quasispecies diversity analyses [see
 Pamornchainavakul et al. (2024) <doi:10.21203/rs.3.rs-4637890/v1>] based on
 long-read sequence alignment. Main functions include 1) sequencing error and
 other noise minimization and read sampling, 2) Single nucleotide variant
 (SNV) profiles comparison, and 3) viral quasispecies profiles comparison and
 visualization.

Package: r-cran-longroc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-longroc_1.0-1.ca2004.1_all.deb
Size: 83760
MD5sum: 8561c5bb90f33e9d65268629c1a46a34
SHA1: 675a6966f9346ccb0699dd717e82da185455a58f
SHA256: 969f4f098bbb2d7847baf2681c43413f8f0aa09114de9905607302bd5c6e6f9d
SHA512: fbb826bc7f0a7f1fca962e85be203d49da2f02b908648f1f4c22ddfd65bf97b6b358874e59a4793120d78c5eae417af10b3ebf64df8f1a1a98c3ffb956bbb8e3
Homepage: https://cran.r-project.org/package=longROC
Description: CRAN Package 'longROC' (Time-Dependent Prognostic Accuracy with Multiply Evaluated BioMarkers or Scores)
 Time-dependent Receiver Operating Characteristic curves, Area Under the
 Curve, and Net Reclassification Indexes for repeated measures. It is based
 on methods in Barbati and Farcomeni (2017) <doi:10.1007/s10260-017-0410-2>.

Package: r-cran-longrpart2
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-ggplot2, r-cran-rpart, r-cran-formula.tools, r-cran-mass
Suggests: r-cran-mgcv, r-cran-rpart.plot
Filename: pool/dists/focal/main/r-cran-longrpart2_0.2.3-1.ca2004.1_all.deb
Size: 342240
MD5sum: 55c915d7aa676c87e58b0178dcf87283
SHA1: dae11594bbab1b436da5962716243569d5feb47e
SHA256: d232e684fff993a969e111960a0842e02f60d2ef81bd3659da277d23f6fef636
SHA512: 90bf10ca65c5f8c658f1e31755b29a0f7bf15068fc291c2f39519d8002a9b28607ff8ee42e81db2067bad500095560e8432ce3ae5d50ac7daef18da63f63e58b
Homepage: https://cran.r-project.org/package=longRPart2
Description: CRAN Package 'longRPart2' (Recursive Partitioning of Longitudinal Data)
 Performs recursive partitioning of linear and nonlinear mixed effects
 models, specifically for longitudinal data. The package is an extension of
 the original 'longRPart' package by Stewart and Abdolell (2013)
 <https://cran.r-project.org/package=longRPart>.

Package: r-cran-longsurr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-mgcv, r-cran-rsurrogate, r-cran-dplyr, r-cran-here, r-cran-tidyr, r-cran-fs, r-cran-kernsmooth, r-cran-fdapace, r-cran-grf, r-cran-lme4, r-cran-mvnfast, r-cran-plyr, r-cran-tibble, r-cran-magrittr, r-cran-glue, r-cran-purrr, r-cran-readr, r-cran-refund, r-cran-fda, r-cran-fda.usc
Filename: pool/dists/focal/main/r-cran-longsurr_1.0-1.ca2004.1_all.deb
Size: 124300
MD5sum: 59ddc0777a03e35a174fa53570b13c17
SHA1: d6107bc7022f13dc51026a21ed2118c60b5e9590
SHA256: 1c62fff6dda1cf09283becfb49a1dd8406adb31f1507343660a91e1bf611fa90
SHA512: 3fd5a80b2829deba97119ee0288f2e8e28ad8e06a90b5fd202bdaf15891e074594663ff3bd43528424674209fc3d8077f99383e063bb0bc22e223212e8953b47
Homepage: https://cran.r-project.org/package=longsurr
Description: CRAN Package 'longsurr' (Longitudinal Surrogate Marker Analysis)
 Assess the proportion of treatment effect explained by a longitudinal
 surrogate marker as described in Agniel D and Parast L (2021)
 <doi:10.1111/biom.13310>.

Package: r-cran-longurl
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-longurl_0.3.3-1.ca2004.1_all.deb
Size: 18812
MD5sum: b21d924a32adaa532428b2878a0d9af0
SHA1: ba804f60340322ec51c8ce0233390020ad480dd5
SHA256: 856cb0b4b839954a15ccc3be100812444c95eaddfec4e576045c46e52cd1c51b
SHA512: 13923cab5331b723efa827859445ce018eb59055ee4093192bd2e03bee84ea087484ecc6ecfd256d882249256a7ba70cdd4abad336df4ce86ebc7ab2a33e7617
Homepage: https://cran.r-project.org/package=longurl
Description: CRAN Package 'longurl' (Expand Short 'URLs')
 Tools are provided to expand vectors of short URLs into long 'URLs'.  No
 'API' services are used, which may mean that this operates more slowly than
 'API' services do (since they usually cache results of expansions that every
 user of the service requests). You can setup your own caching layer with the
 'memoise' package if you wish to have a speedup during single sessions or
 add larger dependencies, such as 'Redis', to gain a longer-term performance
 boost at the expense of added complexity.

Package: r-cran-loo
Architecture: all
Version: 2.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2602
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-matrixstats, r-cran-posterior
Suggests: r-cran-bayesplot, r-cran-brms, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-rstan, r-cran-rstanarm, r-cran-rstantools, r-cran-spdep, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-loo_2.8.0-1.ca2004.1_all.deb
Size: 1737880
MD5sum: e77a39d8faa63f489db6bd10677e6e77
SHA1: b460c88d288bf3541dc13e758a031d22293043b6
SHA256: b6ac44d20f937a4c6deb30a4f90abb65af03665875310716800896d55b5c605a
SHA512: 02819c4bdb21956c0eb2ced3ab7636a6ad36fdb26273b76f8f8e00d6001a9fe40534ff3a68e5173344510ddd9e77a3e9c3cec39ef81c03e8bd4e0c8af09d8d0c
Homepage: https://cran.r-project.org/package=loo
Description: CRAN Package 'loo' (Efficient Leave-One-Out Cross-Validation and WAIC for BayesianModels)
 Efficient approximate leave-one-out cross-validation (LOO) for Bayesian
 models fit using Markov chain Monte Carlo, as described in Vehtari, Gelman,
 and Gabry (2017) <doi:10.1007/s11222-016-9696-4>.  The approximation uses
 Pareto smoothed importance sampling (PSIS), a new procedure for regularizing
 importance weights.  As a byproduct of the calculations, we also obtain
 approximate standard errors for estimated predictive errors and for the
 comparison of predictive errors between models. The package also provides
 methods for using stacking and other model weighting techniques to average
 Bayesian predictive distributions.

Package: r-cran-lookout
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tdastats, r-cran-evd, r-cran-rann, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lookout_0.1.4-1.ca2004.1_all.deb
Size: 129172
MD5sum: bc86e5d29cdb64af26d1089ccda15709
SHA1: d821a72b6b4d75710947f043a5239b5193564486
SHA256: fd5a2ac1ef08ccb44dda68a93aab863695da92f23bd3c4b80ecdfd2697fc0297
SHA512: 5a6fe76cfb795e4f36fb3bf23ac6419e2a410c9677305ae4dfba36b124ad5b33bfbf4626017115cdefb5cc86b60f27b490fa6db0065ab0c538ee2ae7248424c4
Homepage: https://cran.r-project.org/package=lookout
Description: CRAN Package 'lookout' (Leave One Out Kernel Density Estimates for Outlier Detection)
 Outlier detection using leave-one-out kernel density estimates and extreme
 value theory. The bandwidth for kernel density estimates is computed using
 persistent homology, a technique in topological data analysis. Using
 peak-over-threshold method, a generalized Pareto distribution is fitted to
 the log of leave-one-out kde values to identify outliers.

Package: r-cran-lookup
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lookup_1.0-1.ca2004.1_all.deb
Size: 37448
MD5sum: 652883eabc0dbfcb32a70352d53161d2
SHA1: 6846f54e8b69ea35a1c7feddcda983f5dc5f6438
SHA256: f1471da909a1503571ad842804498795cc9ebc3a6081a6eb7654f1b1d79d29b7
SHA512: 15e35893efc8c8114a696fd9852299a771a809d29dac7e423e44771898f40cc83d8cc6e08c4211b69fc20f86aa4e758acb75547d64327b46489ec85bc1da7125
Homepage: https://cran.r-project.org/package=lookup
Description: CRAN Package 'lookup' (Functions Similar to VLOOKUP in Excel)
 Simple functions to lookup items in key-value pairs. See Mehta (2021)
 <doi:10.1007/978-1-4842-6613-7_6>.

Package: r-cran-lookuptable
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lookuptable_0.1-1.ca2004.1_all.deb
Size: 81252
MD5sum: 8b4a1be6bfcf681baae18e0b34097e76
SHA1: 6c815b928de8610a796c530295694b6a7618bf9c
SHA256: de1118996805b980df26624f2dea1162283f9316164f11ab25d06dfcd3d93c19
SHA512: 9cf187b710f60f363a70a26a7ec9b26730731b0b8f3498303fd7c9a197bc50bf6ede240500f20c966821379cb3009c639ce43bc668086cb30d43082e88ed7cff
Homepage: https://cran.r-project.org/package=lookupTable
Description: CRAN Package 'lookupTable' (Look-Up Tables using S4)
 Fits look-up tables by filling entries with the mean or median values of
 observations fall in partitions of the feature space. Partitions can be
 determined by user of the package using input argument feature.boundaries,
 and dimensions of the feature space can be any combination of continuous and
 categorical features provided by the data set.  A Predict function directly
 fetches corresponding entry value, and a default value is defined as the
 mean or median of all available observations.  The table and other
 components are represented using the S4 class lookupTable.

Package: r-cran-loon.data
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4052
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-loon.data_0.1.4-1.ca2004.1_all.deb
Size: 4075980
MD5sum: 061f317fdd7ca13ad3e25154b981e6e0
SHA1: 016e1aea88a361f0312c5e5cff4863b0f84a3ce0
SHA256: d2f7e4f7c046dab4e303cc15fb91958b5dc961fb5c1ba1ced77d93cb138d73b2
SHA512: 5823b19d74732342426c83da5ade2f9e0eb09e2a01fe2d6f638d749bffcabc8e627124b87cd4a6c8111a948e2509c2a0f0cc52417dca15aea540899568351b7e
Homepage: https://cran.r-project.org/package=loon.data
Description: CRAN Package 'loon.data' (Data Used to Illustrate 'Loon' Functionality)
 Data used as examples in the 'loon' package.

Package: r-cran-loon.ggplot
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2670
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-loon, r-cran-ggplot2, r-cran-ggmulti, r-cran-gridextra, r-cran-scales, r-cran-patchwork, r-cran-rlang, r-cran-cli
Suggests: r-cran-ggally, r-cran-magrittr, r-cran-tidyr, r-cran-zenplots, r-cran-dplyr, r-cran-gtable, r-cran-png, r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-maps, r-cran-hexbin, r-cran-nycflights13, r-cran-ggplot2movies
Filename: pool/dists/focal/main/r-cran-loon.ggplot_1.3.4-1.ca2004.1_all.deb
Size: 1705628
MD5sum: 164fb0d68afd86940bbf1c429361cb9d
SHA1: b01628184d91fc67e032db6d2b614418aafd8a61
SHA256: 6ae7d814cac9fc40e1384ca127f5b66bd94df8c3d3c93d90a100000f56806fba
SHA512: d394ae41a8219967b02df2afd9d0d7da63a9516eb5a286a9737b5ae3484b8e3dd76606090a39ac562c4ed38afe64d4c5615673607f15f4f4dc7e8cc48aac2b64
Homepage: https://cran.r-project.org/package=loon.ggplot
Description: CRAN Package 'loon.ggplot' (A Grammar of Interactive Graphics)
 Provides a bridge between the 'loon' and 'ggplot2' packages.  Extends the
 grammar of ggplot to add clauses to create interactive 'loon' plots.
 Existing ggplot(s) can be turned into interactive 'loon' plots and 'loon'
 plots into static ggplot(s); the function 'loon.ggplot()' is the bridge from
 one plot structure to the other.

Package: r-cran-loon.shiny
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1146
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-loon, r-cran-shiny, r-cran-gridextra, r-cran-loon.ggplot, r-cran-colourpicker, r-cran-base64enc
Suggests: r-cran-magrittr, r-cran-dplyr, r-cran-ggmulti, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-covr, r-cran-png
Filename: pool/dists/focal/main/r-cran-loon.shiny_1.0.3-1.ca2004.1_all.deb
Size: 947664
MD5sum: 049fb071052e0efb8f4612f27297b5d5
SHA1: 00774d56f20aee291de73aaf22fd27ebd281420a
SHA256: 6f29ddeb19903450df44e56d529c5dafdb58557ad51411691b0c14de156c6021
SHA512: 88003e2df02d30d87e799c56974fb9a30303502d2eb47a50cb0d114663e97e4a23a8c678ba8eb58c36fbc44000fe40abd21640dcb0662f782961d909b14882fe
Homepage: https://cran.r-project.org/package=loon.shiny
Description: CRAN Package 'loon.shiny' (Automatically Create a 'Shiny' App Based on Interactive 'Loon'Widgets)
 Package 'shiny' provides interactive web applications in R. Package 'loon'
 is an interactive toolkit engaged in open-ended, creative and unscripted
 data exploration. The 'loon.shiny' package can take 'loon' widgets and
 display a selfsame 'shiny' app.

Package: r-cran-loon.tourr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-loon, r-cran-tourr, r-cran-mass, r-cran-loon.ggplot, r-cran-tibble
Suggests: r-cran-class, r-cran-magrittr, r-cran-tidyverse, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-loon.tourr_0.1.4-1.ca2004.1_all.deb
Size: 2136360
MD5sum: 5c15dff57b7b7d81cc1dc008efc12bc1
SHA1: 33f346c3e4c0ccb9bc1cb684e5c176e07c4c2704
SHA256: c076d23cd8e8999cdf7f1498eb304396bddd55ec089c567288727ce95e0d4325
SHA512: 90732aaee8d2f9bad4ab0bc435b474c8fbe05b1119d60988fccee8aace26bd26f0aae2b7bf79c18ec4b37f61d99b6b8832878187b030c728c783a5f7082daa3a
Homepage: https://cran.r-project.org/package=loon.tourr
Description: CRAN Package 'loon.tourr' (Tour in 'Loon')
 Implement tour algorithms in interactive graphical system 'loon'.

Package: r-cran-loon
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4447
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gridextra
Suggests: r-cran-maps, r-cran-sp, r-bioc-graph, r-cran-scagnostics, r-cran-pairviz, r-cran-rcolorbrewer, r-cran-loon.data, r-cran-rworldmap, r-cran-mgcv, r-cran-rgl, r-bioc-rgraphviz, r-bioc-rdrtoolbox, r-cran-kernlab, r-cran-scales, r-cran-mass, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-png, r-cran-formatr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-loon_1.4.3-1.ca2004.1_all.deb
Size: 2797808
MD5sum: 15fd2b6116ac23736d814b838bea59ca
SHA1: bb4e0da0828d274c3538b7ccbb5fd8790ab59043
SHA256: e296c5e03c750c2f85ef8111a022a04c3cbef7bbe535bb0a635d0170e35561df
SHA512: ae614cee5786ce439572c52ec760b45c42400ee0ef54caf821626d9e4ed1540dacfece8d502a9e004b3dfec9ef7b9a113d462a0e25fc6aa0f3b73ae4d5f2be10
Homepage: https://cran.r-project.org/package=loon
Description: CRAN Package 'loon' (Interactive Statistical Data Visualization)
 An extendable toolkit for interactive data visualization and exploration.

Package: r-cran-loop
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-loop_1.1-1.ca2004.1_all.deb
Size: 121488
MD5sum: 4c7fd96fcfc80967676584da1df5fce1
SHA1: 546b05633a35bef54b9d00617cbe1766c336b522
SHA256: 09231655787ee600ac5012e039a98adea7c185cb73bc24b06841d4cf4c821f65
SHA512: 7f306e62c761ba3f9b1474cd40a07f53f3d4e68c3feb4f6939e99df817137b13899a71019482028aeb3d17fb4a8fc89d4b249fcc44b28cb06da2603682d2a161
Homepage: https://cran.r-project.org/package=loop
Description: CRAN Package 'loop' (loop decomposition of weighted directed graphs for life cycleanalysis, providing flexbile network plotting methods, andanalyzing food chain properties in ecology)
 The program can perform loop analysis and plot network structure (especially
 for food webs),including minimum spanning tree, loop decomposition of
 weighted directed graphs, and other network properties which may be related
 to food chain properties in ecology.

Package: r-cran-loopanalyst
Architecture: all
Version: 1.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-loopanalyst_1.2-7-1.ca2004.1_all.deb
Size: 218136
MD5sum: e1dedb106f440bdec292406f486d2971
SHA1: 4955d5f077e11559073a162bf750f011bb2fe395
SHA256: 52fb4192bda09d43c2227ecf114114ed82fc3e38ffea26c8a1bc91248f335811
SHA512: 279df2cb13a7c38a2d3b6658443b057d11f41e35703582ef383390ce88c73fa397701c4a1d955fb018f6cd900505b7130f5cf63bf5d624895ff308a6ba0352f3
Homepage: https://cran.r-project.org/package=LoopAnalyst
Description: CRAN Package 'LoopAnalyst' (A Collection of Tools to Conduct Levins' Loop Analysis)
 Performs Levins' loop analysis of qualitatively-specified complex causal
 systems. Loop analysis makes qualitative predictions of variable change in a
 system of causally interdependent variables, where "qualitative" means
 direct causal relationships and indirect causal effects are coded as sign
 only (i.e. increases, decreases, no change, and ambiguous). This
 implementation includes output support for graphs in .dot file format for
 use with visualization software such as 'graphviz' (<https://graphviz.org>).
 'LoopAnalyst' provides tools for the construction and output of community
 matrices, computation and output of community effect matrices, tables of
 correlations, adjoint, absolute feedback, weighted feedback and weighted
 prediction matrices, change in life expectancy matrices, and feedback, path
 and loop enumeration tools.

Package: r-cran-loopdetectr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-numderiv
Suggests: r-cran-desolve, r-cran-knitr, r-cran-markdown, r-cran-remotes, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-loopdetectr_0.1.2-1.ca2004.1_all.deb
Size: 262944
MD5sum: ecfd9c97bb43128c078819486c30e21f
SHA1: a935080d4a26a30d72731260914a5e625dbbd26d
SHA256: 45e9a2b0d165eba30209990be0b71557385c84dd336241d4acb551d6636e14b4
SHA512: a22d4f4d3fc93635e4fe635c7b0bf3ab8fef4c1a73baf926672e933b8fc4be4aa3f27544dec0907421ad8324dc291b3c8c3a32ddc3696d56c73e2754ebd4347c
Homepage: https://cran.r-project.org/package=LoopDetectR
Description: CRAN Package 'LoopDetectR' (Comprehensive Feedback Loop Detection in ODE Models)
 Detect feedback loops (cycles, circuits) between species (nodes) in ordinary
 differential equation (ODE) models. Feedback loops are paths from a node to
 itself without visiting any other node twice, and they have important
 regulatory functions. Loops are reported with their order of participating
 nodes and their length, and whether the loop is a positive or a negative
 feedback loop. An upper limit of the number of feedback loops limits runtime
 (which scales with feedback loop count). Model parametrizations and values
 of the modelled variables are accounted for. Computation uses the
 characteristics of the Jacobian matrix as described e.g. in Thomas and
 Kaufman (2002) <doi:10.1016/s1631-0691(02)01452-x>. Input can be the
 Jacobian matrix of the ODE model or the ODE function definition; in the
 latter case, the Jacobian matrix is determined using 'numDeriv'. Graph-based
 algorithms from 'igraph' are employed for path detection.

Package: r-cran-loopevd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2238
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-evd, r-cran-ncdf4, r-cran-ismev
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-zoo, r-cran-ozmaps, r-cran-raster, r-cran-sp
Filename: pool/dists/focal/main/r-cran-loopevd_1.0.1-1.ca2004.1_all.deb
Size: 813420
MD5sum: d463495d248680e81d624755d058519f
SHA1: 11075f8f2c51136a0c5d9d1f0e44e633775d6e3c
SHA256: 1c8d9b2e8048015fad7e878191226f31d0f9eec089499379d7c7279d59be5f91
SHA512: dbb7cfa9389a4c3fe1d042f3faafebfcb5d6e6ab65258c48c0b4c3d295911ce1c2422d6d2ca1d95fa8e0c5fea8d73c31303810be4178eedf1e8a3d8028a34be2
Homepage: https://cran.r-project.org/package=loopevd
Description: CRAN Package 'loopevd' (Loop Functions for Extreme Value Distributions)
 Performs extreme value analysis at multiple locations using functions from
 the 'evd' package. Supports both point-based and gridded input data using
 the 'terra' package, enabling flexible looping across spatial datasets for
 batch processing of generalised extreme value, Gumbel fits.

Package: r-cran-looprig
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-looprig_0.1.1-1.ca2004.1_all.deb
Size: 523572
MD5sum: efc5c6e369e70f889a61f723b3c0c4e3
SHA1: 7db8f5ccfadb4ad601866a55d6368e454b7b4dfa
SHA256: e6285240fb4db02b2b86af60afe8ee358072563e90fd0225f161f43c0b5fcac0
SHA512: 3f3be8d388ba89a3052148cd739f237eb5178e0477e73237e6fd1c34ea03cd5b6e0e6cfdfc3e6cc0d39f50ac27aaf56223839b970dbf5fd71832865b92df59eb
Homepage: https://cran.r-project.org/package=LoopRig
Description: CRAN Package 'LoopRig' (Integration and Analysis of Chromatin Loop Data)
 Common coordinate-based workflows involving processed chromatin loop and
 genomic element data are considered and packaged into appropriate
 customizable functions. Includes methods for linking element sets via
 chromatin loops and creating consensus loop datasets.

Package: r-cran-lorad
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2548
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rstan, r-cran-bridgesampling
Filename: pool/dists/focal/main/r-cran-lorad_0.0.1.0-1.ca2004.1_all.deb
Size: 2399576
MD5sum: 2a42fc4ca7a8b0e237176b9993e5d111
SHA1: a496386c989ed585238c66f7886a704db1e91e3f
SHA256: 80754105ebf2a4233a5f048401d55de5b49a7adcd66b831aa0bebb59541974cb
SHA512: add2ca4c52875cc7692a3a4f7a70ca70c6245211b4f1e5e38990e38461dacdf9c65570c99348a58ff3bc74cd88895164d584d192fccc2a597fb5bdd77c3de4be
Homepage: https://cran.r-project.org/package=lorad
Description: CRAN Package 'lorad' (Lowest Radial Distance Method of Marginal Likelihood Estimation)
 Estimates marginal likelihood from a posterior sample using the method
 described in Wang et al. (2023) <doi:10.1093/sysbio/syad007>, which does not
 require evaluation of any additional points and requires only the log of the
 unnormalized posterior density for each sampled parameter vector.

Package: r-cran-lordif
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mirt, r-cran-rms, r-cran-dosnow, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-lordif_0.4.2-1.ca2004.1_all.deb
Size: 154236
MD5sum: d8f7daf554d93cfbdeb341b111aeff16
SHA1: 9e2982ba3eae188fc0d597129235e4a4c4815331
SHA256: 7ce5d8c347263c7534a59d66921b72cb5b24240d510c636a5fe5a1743243a6c1
SHA512: 521d6fa4c4ef4b600c001411cb3f937065c26fe46df7adec7ab891d8db92145a10daff8f2190820a429b596416e674e75e8072822c158cca1a157a80f6022269
Homepage: https://cran.r-project.org/package=lordif
Description: CRAN Package 'lordif' (Logistic Ordinal Regression Differential Item Functioning usingIRT)
 Performs analysis of Differential Item Functioning (DIF) for dichotomous and
 polytomous items using an iterative hybrid of ordinal logistic regression
 and item response theory (IRT) according to Choi, Gibbons, and Crane (2011)
 <doi:10.18637/jss.v039.i08>.

Package: r-cran-lorem
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-knitr
Suggests: r-cran-rstudioapi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-lorem_1.0.0-1.ca2004.1_all.deb
Size: 35052
MD5sum: 46fad07bee0316bf9df976609b43a8b9
SHA1: db3034c3f3eccad0a1578d7785c92eed22a668ea
SHA256: 35383a613acd1d5e68cabf6c977bef905d3da750c1d5557519881602437ae5d3
SHA512: 782681062e747c35489fde2edf5beb0e6482d2b6f43f159daef52389a82a9c1b4a1a2fbf93eb54872980006ae61e3193350a0acc3985131215e8a68fb42b7dc2
Homepage: https://cran.r-project.org/package=lorem
Description: CRAN Package 'lorem' (Generate Lorem Ipsum Text)
 Quickly generate lorem ipsum placeholder text. Easy to integrate in
 RMarkdown documents. Includes an RStudio addin to insert lorem ipsum into
 the current document.

Package: r-cran-lorentz
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 973
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadform, r-cran-tensor, r-cran-magic, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-lorentz_1.1-2-1.ca2004.1_all.deb
Size: 507100
MD5sum: 572b9e5988d6b2c6a5ce8f544197f063
SHA1: f3525f4f423ab5f3400b20eddbb7e1ac18284034
SHA256: 4bcb27d413a41c9f3c736f354908f49d2a11d3b83baed751b793c7f71b0c5d9b
SHA512: 9602ef78abd5b33e114901f35affa354a45a076938550244c9cdef97ed95d190c31b0489253e79b8ba4c2597f513ebbc2167341793718889cf2f62fba9aa30a8
Homepage: https://cran.r-project.org/package=lorentz
Description: CRAN Package 'lorentz' (The Lorentz Transform in Relativistic Physics)
 The Lorentz transform in special relativity; also the gyrogroup structure of
 three-velocities.  Performs active and passive transforms and has the
 ability to use units in which the speed of light is not unity.  Includes
 some experimental functionality for celerity and rapidity.  For general
 relativity, see the 'schwarzschild' package.

Package: r-cran-lorenz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dineq
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lorenz_0.1.0-1.ca2004.1_all.deb
Size: 41084
MD5sum: e44ce3fc979c5e4efe59519dee12f5eb
SHA1: 17ef48729379a0b0f90a33be7ca72da6740c9283
SHA256: e3ca4f83eab77622ac98207797338b62c8d31d3fa9fbdb4201a6fefe3da29e13
SHA512: 6f656301d6c16be6fb2d7386e6e6db5a983db7c8dafca32a492af96f7996d867f759b01c3e95008b6c6902dcd4e13e3d38db72c204cdf83f4d792cbadad1ddd2
Homepage: https://cran.r-project.org/package=lorenz
Description: CRAN Package 'lorenz' (Tools for Deriving Income Inequality Estimates from GroupedIncome Data)
 Provides two methods of estimating income inequality statistics from binned
 income data, such as the income data provided in the Census.  These methods
 use different interpolation techniques to infer the distribution of incomes
 within income bins.  One method is an implementation of Jargowsky and
 Wheeler's mean-constrained integration over brackets (MCIB).  The other
 method is based on a new technique, Lorenz interpolation, which estimates
 income inequality by constructing an interpolated Lorenz curve based on the
 binned income data.  These methods can be used to estimate three income
 inequality measures: the Gini (the default measure returned), the Theil, and
 the Atkinson's index.  Jargowsky and Wheeler (2018)
 <doi:10.1177/0081175018782579>.

Package: r-cran-lori
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rarpack, r-cran-svd
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lori_2.2.3-1.ca2004.1_all.deb
Size: 108020
MD5sum: 47c8d915fef9d2782743035180a1764a
SHA1: 1a001d45d9543a5fda64e6c29b1e0ec7ee83ffdb
SHA256: 3e64c8c65b83bd890a1882760f179dc5d5e78e0107205f62347427a85976eae3
SHA512: 0d09ed13503ba88488ef3697671b719f4418e2a52c497a0f2fe58b990cf1558739069e7f98d88d7f71248cb7369b05bf7983405b9a0a7d9872153c80b79c9781
Homepage: https://cran.r-project.org/package=lori
Description: CRAN Package 'lori' (Imputation of High-Dimensional Count Data using Side Information)
 Analysis, imputation, and multiple imputation of count data using
 covariates. LORI uses a log-linear Poisson model where main row and column
 effects, as well as effects of known covariates and interaction terms can be
 fitted. The estimation procedure is based on the convex optimization of the
 Poisson loss penalized by a Lasso type penalty and a nuclear norm. LORI
 returns estimates of main effects, covariate effects and interactions, as
 well as an imputed count table. The package also contains a multiple
 imputation procedure. The methods are described in Robin, Josse, Moulines
 and Sardy (2019) <doi:10.1016/j.jmva.2019.04.004>.

Package: r-cran-lorme
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-ggalluvial, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-vegan, r-cran-dplyr, r-cran-igraph, r-cran-hmisc, r-cran-fdrtool, r-cran-agricolae, r-cran-multcompview, r-cran-desctools, r-cran-hh, r-cran-coin
Suggests: r-cran-testthat, r-cran-ggrepel, r-cran-readr, r-cran-patchwork, r-cran-permute, r-cran-indicspecies, r-bioc-s4vectors, r-cran-tibble, r-bioc-deseq2
Filename: pool/dists/focal/main/r-cran-lorme_1.2.1-1.ca2004.1_all.deb
Size: 4008056
MD5sum: b37e37e309d0d44376153a88bd78a2c8
SHA1: afbc0be6a37a3496f1c1c1e331b7bc811a154f7b
SHA256: 7b5bbeb15ffb7548e25cabc789172f1d855b8c1b96ae49e6783f4a2db27b6400
SHA512: 72a9bce6cb004f357a60af731652164192de88f6662a6123691f1daf7a1e7f7cc9c7556b67d00daa6a33cd230936f58084d71fa38e076e2311332434420e29bd
Homepage: https://cran.r-project.org/package=LorMe
Description: CRAN Package 'LorMe' (Lightening One-Code Resolving Microbial Ecology Solution)
 Provides a robust collection of functions tailored for microbial ecology
 analysis, encompassing both data analysis and visualization. It introduces
 an encapsulation feature that streamlines the process into a summary object.
 With the initial configuration of this summary object, users can execute a
 wide range of analyses with a single line of code, requiring only two
 essential parameters for setup. The package delivers comprehensive outputs
 including analysis objects, statistical outcomes, and visualization-ready
 data, enhancing the efficiency of research workflows. Designed with
 user-friendliness in mind, it caters to both novices and seasoned
 researchers, offering an intuitive interface coupled with adaptable
 customization options to meet diverse analytical needs.

Package: r-cran-lost
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdata, r-cran-shapes, r-cran-e1071, r-bioc-pcamethods, r-cran-mass, r-cran-misctools, r-cran-rgl, r-cran-geomorph
Filename: pool/dists/focal/main/r-cran-lost_2.1.2-1.ca2004.1_all.deb
Size: 270848
MD5sum: dbd38d2e597ef86bb18dda01043cca34
SHA1: 8d32617d8991d4a407cf1523849020bd2d702b9e
SHA256: ca1b3f9a21c58b671d12883c6c8d4f4662af5312fea77873c682bc2a9065fd0f
SHA512: e228e40c7a3ac0d4ebe310ff0c800f925d0f50febf3031b9e6ed0d3f37c01398b9b6886f805ad0e61e659331dc9ec67538af73f9be01b546066ac8410cb4f1c1
Homepage: https://cran.r-project.org/package=LOST
Description: CRAN Package 'LOST' (Missing Morphometric Data Simulation and Estimation)
 Functions for simulating missing morphometric data randomly, with taxonomic
 bias and with anatomical bias. LOST also includes functions for estimating
 linear and geometric morphometric data.

Package: r-cran-lotkaslaw
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lotkaslaw_0.0.1.0-1.ca2004.1_all.deb
Size: 31096
MD5sum: 43446290ec87eedbc1c33f266f945810
SHA1: 4fdb0cb7899cb945a5acaed255530d089a03cac4
SHA256: e5ada50cc749058975c9e614f969c883fadc22b4d4136efc74b975f0f180f1b4
SHA512: 806733ce143a4a1f84657903580aeaf06c360952a1df02bf406fabb23f0f24850be1ea8bab31e1d4856005834e383dd4ec1a31ffeb6516e1e0e868a9983fc489
Homepage: https://cran.r-project.org/package=LotkasLaw
Description: CRAN Package 'LotkasLaw' (Runs Lotka's Law which is One of the Special Applications ofZipf's Law)
 Running Lotka's Law following Pao (1985)(DOI: 10.1016/0306-4573(85)90055-X).
 The Law is based around the proof that the number of authors making n
 contributions is about 1/n^{a} of those making one contribution.

Package: r-cran-lotterybr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-shiny, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lotterybr_0.2.0-1.ca2004.1_all.deb
Size: 95236
MD5sum: 67ec403bd75e146001b22b253d17a789
SHA1: a6b781e2ba8474f233a64a6acd4ac24e1b1ab153
SHA256: f80d5584dcbc78f7d48a07a8c224820ac9f8bada5bb68c9c203843e2544cf7e7
SHA512: 84e4e36b420df940d3521f5f276b631b4673445e25c2a7bd921383f9c8eaf96145b0945e7505e814dfcc4603700bb6bb06dd0e70d4ff42631448b30a1a0643df
Homepage: https://cran.r-project.org/package=lotterybr
Description: CRAN Package 'lotterybr' (Lottery Datasets from Caixa Economica Federal)
 A collection of functions designed to streamline the retrieval of data from
 Brazilian lottery games operated by Caixa Econômica Federal, accessible
 through the official website at
 <https://loterias.caixa.gov.br/Paginas/default.aspx/>. Datasets for each
 game are conveniently stored on the GitHub page at
 <https://github.com/tomasbp2/LotteryBrasilDATA/>. Each game within this
 repository consists of two primary datasets: the winners dataset and the
 numbers dataset. The winners dataset includes crucial information such as
 the draw date, game type, potential matches, winners for each match, and
 corresponding prize amounts. Meanwhile, the numbers dataset provides
 essential details including the draw date, game type, and the numbers drawn
 during the respective lottery event. By offering easy access to these
 datasets, the package facilitates efficient data retrieval and analysis for
 researchers, analysts, and enthusiasts interested in exploring the dynamics
 and outcomes of Brazilian lottery games.

Package: r-cran-lovecraftr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1238
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rvest, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-lovecraftr_1.2.0-1.ca2004.1_all.deb
Size: 1224640
MD5sum: 8dda44be31db3b3e4aa612acdfc3eb79
SHA1: 750a8747d0fd8b63c9c2492de292a19ce32759a5
SHA256: fb1d2e2e32cffc2c058da89b3b2e7ef0bda298611346b32f9aa3358c38035f94
SHA512: cb383d37700c88340bf52dcc0e526af7ad6926b5194948982d6b7d30bf650492a55fcf495dbe591fe9214cadd378678ab4477095dd9e0abad0dd502cd6be47fc
Homepage: https://cran.r-project.org/package=lovecraftr
Description: CRAN Package 'lovecraftr' (A Collection of Lovecraftian Tales and Texts)
 A curated collection of Howard Phillips Lovecraft's complete stories,
 collected for the purpose of text analysis.

Package: r-cran-lpacf
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-locits, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-lpacf_1.0.1-1.ca2004.1_all.deb
Size: 74252
MD5sum: 832fa7c46450e1588b4b5dce038e9d09
SHA1: d25a93429bb66af53dc220d426813140bd02fafe
SHA256: dc5ff3ab26fce88d9fd7e4e574ea4245bc490ab1bb3c85eb4e8e4fd7e14f4b83
SHA512: ac409b12074f44034f58f3b58587824ad37f0ce56d32dd642bc33e6815c48668270746b1a47e7ae3be2cf72e63d988fa2a8e91ea56bb6078634b30c195d62609
Homepage: https://cran.r-project.org/package=lpacf
Description: CRAN Package 'lpacf' (Local Partial Autocorrelation Function Estimation for LocallyStationary Wavelet Processes)
 Provides the method for computing the local partial autocorrelation function
 for locally stationary wavelet time series from Killick, Knight, Nason,
 Eckley (2020) <doi:10.1214/20-EJS1748>.

Package: r-cran-lpbkg
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-orthopolynom, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-lpbkg_1.2-1.ca2004.1_all.deb
Size: 38160
MD5sum: 852f5f0b487ad0dbedf5ac706173e62a
SHA1: a629892ae65217ce79b3fba43fe33e359a7753a0
SHA256: b1c89aa00a969ccf28519ae25d9fa0dd79cfd76a0abddedeb61bcf91ba941f3e
SHA512: 6b241d2283c37c4a524ecc0dcd9a6d156f862aa3ae6aba9b3c441a15b063ad80927e1b2e09c518012e1f10845612dee4f3a52ce224fc82975cb21ab5a7762563
Homepage: https://cran.r-project.org/package=LPBkg
Description: CRAN Package 'LPBkg' (Detecting New Signals under Background Mismodelling)
 Given a postulated model and a set of data, the comparison density is
 estimated and the deviance test is implemented in order to assess if the
 data distribution deviates significantly from the postulated model. Finally,
 the results are summarized in a CD-plot as described in Algeri S. (2019)
 <arXiv:1906.06615>.

Package: r-cran-lpbrim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-plyr, r-cran-rcolorbrewer
Suggests: r-cran-domc
Filename: pool/dists/focal/main/r-cran-lpbrim_1.0.0-1.ca2004.1_all.deb
Size: 40964
MD5sum: d52ad58bbd0bdd9e27a02b29c7ec19c4
SHA1: 32c8dfaa78fa8980979029eadedd22835b76255d
SHA256: 0f6fd69935faabfb8875620d4f8f6a3e53f1d006a4b2be88ae6b3cd13a8c48fc
SHA512: 9db14ec046624c57b408383c113dff3be834fdd3f376be4ead8da213144d95344c5b98b85f866bda8077a64fafe4ae45d1871eac3b62d457ec5662bb74a5501f
Homepage: https://cran.r-project.org/package=lpbrim
Description: CRAN Package 'lpbrim' (LP-BRIM Bipartite Modularity)
 Optimization of bipartite modularity using LP-BRIM (Label propagation
 followed by Bipartite Recursively Induced Modularity).

Package: r-cran-lpc
Architecture: all
Version: 1.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lpc_1.0.2.1-1.ca2004.1_all.deb
Size: 92780
MD5sum: 3744bd02350d57176e1a88a2161ce865
SHA1: bf589290b4cca03e2cd8d724468fe7f44881e5ce
SHA256: b550be36f74f18c6fee6fa7b20e316149d4fd282cde0d410dfe1956cfd170155
SHA512: 2b53d3266966f294868f0ac7e8db017cfd61a25bdc45daef8c97c683df722db624d9e10efa4be4bd8bc31a21c5e9062c6c6e058e8f093e4108582fa256255d8e
Homepage: https://cran.r-project.org/package=lpc
Description: CRAN Package 'lpc' (Lassoed Principal Components for Testing Significance ofFeatures)
 Implements the LPC method of Witten&Tibshirani(Annals of Applied Statistics
 2008) for identification of significant genes in a microarray experiment.

Package: r-cran-lpcm
Architecture: all
Version: 0.47-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-scatterplot3d, r-cran-lattice, r-cran-dr, r-cran-multimode
Filename: pool/dists/focal/main/r-cran-lpcm_0.47-6-1.ca2004.1_all.deb
Size: 693748
MD5sum: ff63cad6de0987f5690bb24dbf60244c
SHA1: 484d6a63a21b3538e812a9edd9a3106f8990be09
SHA256: 36ad2809eeab57cbf85a417f4832bf2a2cb464a5ad2fd21452c35e01b9d38463
SHA512: 60b169429c3e6e79324f7b333188da8def8cbc15f15bda12ce3916a97eb443883a5384e2b8497aebd8a0dd4de8cd69d0441e5dd46e7ab85332c5ee4c33c6600f
Homepage: https://cran.r-project.org/package=LPCM
Description: CRAN Package 'LPCM' (Local Principal Curve Methods)
 Fitting multivariate data patterns with local principal curves, including
 tools for data compression (projection) and measuring goodness-of-fit; with
 some additional functions for mean shift clustering.  See Einbeck, Tutz and
 Evers (2005) <doi:10.1007/s11222-005-4073-8> and Ameijeiras-Alonso and
 Einbeck (2023) <doi:10.1007/s11634-023-00575-1>.

Package: r-cran-lpda
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rglpk, r-cran-multiway
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lpda_1.2.0-1.ca2004.1_all.deb
Size: 390496
MD5sum: a4bc93ca8a52dc619d48c2bddfd0a43e
SHA1: 664e527b0b61cd9290a438965a3d005b17c187f2
SHA256: f51679f64a24a5e0ca68a3a3efade8023395689c6943282d66c92c7786a4df43
SHA512: f3d2585187addd3f1a1af70e5d94c8acd1393ed0365f45baf60cfbfdc3893b222d8f6af06f6b419765eb4f409be5fc67b4cef5ae293eda75f61b86332dacaaea
Homepage: https://cran.r-project.org/package=lpda
Description: CRAN Package 'lpda' (Linear Programming Discriminant Analysis)
 Classification method obtained through linear programming.  It is
 advantageous with respect to the classical developments when the
 distribution of the variables involved is unknown or when the number of
 variables is much greater than the number of individuals.  Mathematical
 details behind the method are published in Nueda, et al. (2022) "LPDA: A new
 classification method based on linear programming".
 <doi:10.1371/journal.pone.0270403>.

Package: r-cran-lpdensity
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lpdensity_2.5-1.ca2004.1_all.deb
Size: 200788
MD5sum: b88eec358dfb9373af30566a1ad9806f
SHA1: 67caccdfe73f81a62ae887cbd97592678212bd10
SHA256: ce33b9164348162a9ab944a99033da537f81d7108a55d2d1284fb2df9251887c
SHA512: acb8a9ff5150d0f2693aefbeaab901587ff5c99ecd9250226bfc5eb3700323f6b06af0b7979bd6dc681fa82c3c0bff1b62cf0bdac3e99a98fa5193c9fa7fe3df
Homepage: https://cran.r-project.org/package=lpdensity
Description: CRAN Package 'lpdensity' (Local Polynomial Density Estimation and Inference)
 Without imposing stringent distributional assumptions or shape restrictions,
 nonparametric estimation has been popular in economics and other social
 sciences for counterfactual analysis, program evaluation, and policy
 recommendations. This package implements a novel density (and derivatives)
 estimator based on local polynomial regressions, documented in Cattaneo,
 Jansson and Ma (2022) <doi:10.18637/jss.v101.i02>: lpdensity() to construct
 local polynomial based density (and derivatives) estimator, and
 lpbwdensity() to perform data-driven bandwidth selection.

Package: r-cran-lpdynr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-virtualspecies, r-cran-magrittr, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lpdynr_1.0.5-1.ca2004.1_all.deb
Size: 202048
MD5sum: 099077cfd0e99c5a92902c8de485b6cf
SHA1: e71f337798a5c8a39c04be0e4c3494d7567d4dd2
SHA256: 003f24019eecab829437bf9789259f5d7a1b3fb55961454898c3a8c7b22da444
SHA512: 18738ae7f9272e8999b8903e423febb24eabe3fcaf280a886a2cf8b4116ba66b61ea068b7ab124098157ac3860f494e2c7b122ff59f3b413ecfe833184a48a80
Homepage: https://cran.r-project.org/package=LPDynR
Description: CRAN Package 'LPDynR' (Land Productivity Dynamics Indicator)
 It uses 'phenological' and productivity-related variables derived from time
 series of vegetation indexes, such as the Normalized Difference Vegetation
 Index, to assess ecosystem dynamics and change, which eventually might drive
 to land degradation. The final result of the Land Productivity Dynamics
 indicator is a categorical map with 5 classes of land productivity dynamics,
 ranging from declining to increasing productivity. See
 www.sciencedirect.com/science/article/pii/S1470160X21010517/ for a
 description of the methods used in the package to calculate the indicator.

Package: r-cran-lpgraph
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-pma
Filename: pool/dists/focal/main/r-cran-lpgraph_2.1-1.ca2004.1_all.deb
Size: 68432
MD5sum: afb7959c79b37fb4be3eb8c12930656d
SHA1: 294dcbbf847ff5cdc1636e7b3e2b4c282fc25bfb
SHA256: e1ebcd8f32cf6ecfc85bc1d093da9fe17d5a591a1d56e05874cc5104c8607938
SHA512: 46283f386fa9395902829d3fe84bf57b0c87f0bb9df98893054b94d2c6738b8ac355f12ecfeecdb511a14549c00c4097f3349fe90213d45fa6172693b8b72ee0
Homepage: https://cran.r-project.org/package=LPGraph
Description: CRAN Package 'LPGraph' (Nonparametric Smoothing of Laplacian Graph Spectra)
 A nonparametric method to approximate Laplacian graph spectra of a network
 with ordered vertices. This provides a computationally efficient algorithm
 for obtaining an accurate and smooth estimate of the graph Laplacian basis.
 The approximation results can then be used for tasks like change point
 detection, k-sample testing, and so on. The primary reference is
 Mukhopadhyay, S. and Wang, K. (2018, Technical Report).

Package: r-cran-lphom
Architecture: all
Version: 0.3.5-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-rsymphony
Filename: pool/dists/focal/main/r-cran-lphom_0.3.5-6-1.ca2004.1_all.deb
Size: 460280
MD5sum: 43d76f183028f89b82aa8ccc5c317be1
SHA1: 3dae587e6ffb6b7407ebf79264648ce18e8de20f
SHA256: 9de963950b02155c479410bb8cd4028544698119b8c1a1888725e24386624f83
SHA512: 329838d470e839e2a46ef35c886ed88ec9fcca6f3cb89e805b18f206f208f4bd1962bf43ca9d7648bf6e602adb46a21887f82a4cf2442e3e5998e366b5732e4c
Homepage: https://cran.r-project.org/package=lphom
Description: CRAN Package 'lphom' (Ecological Inference by Linear Programming under Homogeneity)
 Provides a bunch of algorithms based on linear programming for estimating,
 under the homogeneity hypothesis, RxC ecological contingency tables (or vote
 transition matrices) using mainly aggregate data (from voting units).
 References: Pavía and Romero (2024) <doi:10.1177/00491241221092725>.  Pavía
 and Romero (2024) <doi:10.1093/jrsssa/qnae013>.  Pavía (2023)
 <doi:10.1007/s43545-023-00658-y>.  Pavía (2024)
 <doi:10.1080/0022250X.2024.2423943>.  Pavía (2024)
 <doi:10.1177/07591063241277064>.  Pavía and Penadés (2024). A bottom-up
 approach for ecological inference.  Romero, Pavía, Martín and Romero (2020)
 <doi:10.1080/02664763.2020.1804842>.  Acknowledgements: The authors wish to
 thank Consellería de Educación, Universidades y Empleo, Generalitat
 Valenciana (grants AICO/2021/257, CIAICO/2023/031) and Ministerio de
 Economía e Innovación (grant PID2021-128228NB-I00) for supporting this
 research.

Package: r-cran-lpint
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lpint_2.1-1.ca2004.1_all.deb
Size: 34232
MD5sum: abfa906e5a771420b571cc04b2d66a28
SHA1: 02372ba293449c271a53a8b472342ca068332d92
SHA256: 0dca6bacff60d3e0cb89072fa6ee95b43d9cc9eaa9add034c3d5c1d48ab06ec8
SHA512: 9b6f0267d60bc5c7412bc0fd77b002a7dc30d1b13efb720ab8f411761f16abeb69c751028ef9e5733c590c7bd5758f2eb3ee25ffdabc3da0048b7a447ede56cc
Homepage: https://cran.r-project.org/package=lpint
Description: CRAN Package 'lpint' (Local Polynomial Estimators of the Intensity Function and ItsDerivatives)
 Functions to estimate the intensity function and its derivative of a given
 order of a multiplicative counting process using the local polynomial
 method.

Package: r-cran-lpjmlkit
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2047
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-processx, r-cran-tibble, r-cran-jsonlite, r-cran-doparallel, r-cran-foreach, r-cran-abind, r-cran-rlang, r-cran-withr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-terra, r-cran-raster, r-cran-reshape2, r-cran-maps
Filename: pool/dists/focal/main/r-cran-lpjmlkit_1.0.11-1.ca2004.1_all.deb
Size: 723728
MD5sum: 52b349d4bd183ae016a0e2140e8eb549
SHA1: a1aafe2f1f88353c5e2ae499b184ce4cdd59f9b7
SHA256: 8d5c9f97d77096c67d0ca77c4e5048dfe8429cb3cd938654c4b04932035778c7
SHA512: dc735073900bb831e381aef89b8b77524aff0e3e06ed7d45924a13f5d7579429036a61784c8a91107dee6d368b465ad59ad7e7cb0d2b0391c4cd0ab1e246012e
Homepage: https://cran.r-project.org/package=lpjmlkit
Description: CRAN Package 'lpjmlkit' (Toolkit for Basic LPJmL Handling)
 A collection of basic functions to facilitate the work with the Dynamic
 Global Vegetation Model (DGVM) Lund-Potsdam-Jena managed Land (LPJmL) hosted
 at the Potsdam Institute for Climate Impact Research (PIK).  It provides
 functions for performing LPJmL simulations, as well as reading, processing
 and writing model-related data such as inputs and outputs or configuration
 files.

Package: r-cran-lpksample
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1076
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-apcluster, r-cran-igraph, r-cran-mclust, r-cran-lpgraph
Filename: pool/dists/focal/main/r-cran-lpksample_2.1-1.ca2004.1_all.deb
Size: 1069540
MD5sum: 9abafa3620904879fbbc998cfda11387
SHA1: 6f716930d85af722acba818448cb6915f6f78666
SHA256: ac7cff52ba2b33440210aa218a953ae924991e945a57df8875882e1458928c9b
SHA512: 8fedd84a0e4c905f689260099621e05807588e057e59ebaab1099ef8b91d653a7b6e8fec43831c6265acd52241dccd80161fa2d311b145c20713102f77039d5c
Homepage: https://cran.r-project.org/package=LPKsample
Description: CRAN Package 'LPKsample' (LP Nonparametric High Dimensional K-Sample Comparison)
 LP nonparametric high-dimensional K-sample comparison method that includes
 (i) confirmatory test, (ii) exploratory analysis, and (iii) options to
 output a data-driven LP-transformed matrix for classification. The primary
 reference is Mukhopadhyay, S. and Wang, K. (2020, Biometrika);
 <arXiv:1810.01724>.

Package: r-cran-lpl
Architecture: all
Version: 0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-lpl_0.12-1.ca2004.1_all.deb
Size: 91532
MD5sum: f69e56be7c51677ec63dee51e9de733d
SHA1: d26534bb3c33b3ef02fdaf9a594779da6c7e82c8
SHA256: c8b7d91c26b0bc96f37ad72e1797fa1e4d66b50f3d4387382b5e00aa8ad777c6
SHA512: 349b3925ed8518d118e2b9f7f563eb9878e8619c81b0e10bc7b3479274fb7e2021b1ed5538f83d9b6b8f7bb7343b823620e14b8891bb66814e2c81172098af31
Homepage: https://cran.r-project.org/package=lpl
Description: CRAN Package 'lpl' (Local Partial Likelihood Estimation and Simultaneous ConfidenceBand)
 Local partial likelihood estimation by Fan, Lin and
 Zhou(2006)<doi:10.1214/009053605000000796> and simultaneous confidence band
 is a set of tools to test the covariates-biomarker interaction for survival
 data. Test for the covariates-biomarker interaction using the bootstrap
 method and the asymptotic method with simultaneous confidence band (Liu,
 Jiang and Chen (2015)<doi:10.1002/sim.6563>).

Package: r-cran-lpm
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fracdiff, r-cran-powdist, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lpm_3.2-1.ca2004.1_all.deb
Size: 223904
MD5sum: ff9d79079b01c576f4bed1bc00da0e4c
SHA1: eb3c4a240c18068a691319eb9ee8dda4f81fe0ee
SHA256: 9d4b1392935bbb3bb716db7f5757d8b37f1c47c0eed70da9cb77efb3789b2349
SHA512: 18c3b459c0b07dc03780769a4d23b1323a9e165aea5f91ad27f530b9a9a46804395d7117904701b33303972a2d02dcc508195885b527daa17d935cbd1e84fc2b
Homepage: https://cran.r-project.org/package=LPM
Description: CRAN Package 'LPM' (Linear Parametric Models Applied to Hydrological Series)
 Apply Univariate Long Memory Models, Apply Multivariate Short Memory Models
 To Hydrological Dataset, Estimate Intensity Duration Frequency curve to
 rainfall series.  NEW -- Calculate the monthly water requirement for
 herbaceous and arboreal plants.

Package: r-cran-lpmerge
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rglpk, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lpmerge_1.7-1.ca2004.1_all.deb
Size: 29040
MD5sum: 64e96122b9ff80b22906e73feaf5d3f7
SHA1: 505f9df737a15a63ef7d29ac79be59f1b21d400c
SHA256: 0d296a1f4cac83eb5e52cc3077ec28de8678496c2f801221cc1ef4633f0607be
SHA512: 4010bf0317befc36dab0d0f9350189f89a67978cf8d1ff810f0f87d93095d6467a0f5017a14919d64278420212add3e5b1191bd2379b24ba58c09bd8969df762
Homepage: https://cran.r-project.org/package=LPmerge
Description: CRAN Package 'LPmerge' (Merging Linkage Maps by Linear Programming)
 Creates a consensus genetic map by merging linkage maps from different
 populations.  The software uses linear programming (LP) to efficiently
 minimize the mean absolute error between the consensus map and the linkage
 maps.  This minimization is performed subject to linear inequality
 constraints that ensure the ordering of the markers in the linkage maps is
 preserved.  When marker order is inconsistent between linkage maps, a
 minimum set of ordinal constraints is deleted to resolve the conflicts.

Package: r-cran-lpmodeler
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-slam
Suggests: r-cran-rsymphony
Filename: pool/dists/focal/main/r-cran-lpmodeler_0.2-1-1.ca2004.1_all.deb
Size: 31596
MD5sum: 10cad0b87e7f086427314893338f4d6e
SHA1: c0dcf9f7ba111308d29c0d52519dd796fa24a1f3
SHA256: c74b3785f2ebec70ef20139ef95f78fb54f4e996ca5d7633165ac94593d28fa9
SHA512: f4cd9fccee4cdeceaed6a009cfa0ebf8280d892e56222c5adcbe6836bf791103e0cb4cabb43fb7ca26cfb3033eb9b2a77834d60e087403aca6e5868de5334a47
Homepage: https://cran.r-project.org/package=lpmodeler
Description: CRAN Package 'lpmodeler' (Modeler for linear programs (LP) and mixed integer linearprograms (MILP))
 lpmodeler is a set of user-friendly functions to simplify the modelling of
 linear programs (LP) and mixed integer programs (MIP). It provides a unified
 interface compatible with optimization packages: Rsymphony.

Package: r-cran-lpower
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-mass
Filename: pool/dists/focal/main/r-cran-lpower_0.1.1-1.ca2004.1_all.deb
Size: 27224
MD5sum: 32f9b98c8ee46644eea741b772097ec5
SHA1: dc08d7445a82dcf64dc63c15c003b46952d28615
SHA256: 225e17080739017113fc3c898f63943f7a37427fa2ac359aefd2cf165ffd74a3
SHA512: 1e984db53c5507e560888d1d698016e3f763c2f11e1a4b93a2dd92f4e96707a56baebdb245f3539318246b973b7651cf436ac8f324d90e757abdc9a0736356ad
Homepage: https://cran.r-project.org/package=LPower
Description: CRAN Package 'LPower' (Calculates Power, Sample Size, or Detectable Effect forLongitudinal Analyses)
 Computes power, or sample size or the detectable difference for a repeated
 measures model with attrition. It requires the variance covariance matrix of
 the observations but can compute this matrix for several common random
 effects models. See Diggle, P, Liang, KY and Zeger, SL (1994,
 ISBN:9780198522843).

Package: r-cran-lprelevance
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bayesgof, r-cran-mass, r-cran-leaps, r-cran-locfdr, r-cran-bolstad2, r-cran-reshape2, r-cran-ggplot2, r-cran-polynom, r-cran-glmnet, r-cran-caret
Filename: pool/dists/focal/main/r-cran-lprelevance_3.3-1.ca2004.1_all.deb
Size: 267592
MD5sum: 3e1a5ea66d27f5523a4104b5d2697c5d
SHA1: 0a50d93e4f051a5a02840bce7ace83dec42ac1be
SHA256: 402c659e5522c629c1f5809ba19f17a5bfa82321d7e134520fca0756aaca1cb1
SHA512: e7ee0804e109235abed2fafa40206af2177ce186364e208fd9d0be92a46173913cae5e46243aea83b8688601a41b1b4c5dbbd35e03884daf72d7d1c1687ca7d1
Homepage: https://cran.r-project.org/package=LPRelevance
Description: CRAN Package 'LPRelevance' (Relevance-Integrated Statistical Inference Engine)
 Provide methods to perform customized inference at individual level by
 taking contextual covariates into account. Three main functions are provided
 in this package: (i) LASER(): it generates specially-designed artificial
 relevant samples for a given case; (ii) g2l.proc(): computes customized
 fdr(z|x); and (iii) rEB.proc(): performs empirical Bayes inference based on
 LASERs. The details can be found in Mukhopadhyay, S., and Wang, K (2021,
 <arXiv:2004.09588>).

Package: r-cran-lps
Architecture: all
Version: 1.0.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-bioc-limma
Filename: pool/dists/focal/main/r-cran-lps_1.0.16-1.ca2004.1_all.deb
Size: 859648
MD5sum: 255c1129407c317955df717f5e8b8988
SHA1: 764736b83c0db15d033e58853e2e165b1122bd1f
SHA256: 8cc7ba0ce6b71ef637dc52dc0c11669fb0d8345c9e2e3efb5b7fe55657937148
SHA512: 27266c9a85f12b838a7f3048377b33733c72d6533b0f2ff63b4f061746a138fbfb46c5cf8b089d07b8ffc5008f79654b53fe48147c9b6c75a208c73f504ce1ba
Homepage: https://cran.r-project.org/package=LPS
Description: CRAN Package 'LPS' (Linear Predictor Score, for Binary Inference from MultipleContinuous Variables)
 An implementation of the Linear Predictor Score approach, as initiated by
 Radmacher et al. (J Comput Biol 2001) and enhanced by Wright et al. (PNAS
 2003) for gene expression signatures. Several tools for unsupervised
 clustering of gene expression data are also provided.

Package: r-cran-lpsmooth
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpgraph, r-cran-lpbkg, r-cran-truncnorm, r-cran-nloptr, r-cran-hmisc, r-cran-orthopolynom, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-lpsmooth_0.1.3-1.ca2004.1_all.deb
Size: 82160
MD5sum: 40603f5b6600eeb15623011f1216c4d1
SHA1: 7966029ca87177f79d6c70b6ae107f4dfde61c3b
SHA256: bbf67050d996b08f094f33c083119bfa124267166e80898ed607b9b2b2df274a
SHA512: 096ecac54cfc94ccd6e74df60a1a5e50bc2e9bb5d9fb7a8771a1092abe64498771d5619aca3d003663a7c849e0f06ad2c36ccac9d923d41652ca33a119af23a1
Homepage: https://cran.r-project.org/package=LPsmooth
Description: CRAN Package 'LPsmooth' (LP Smoothed Inference and Graphics)
 Classical tests of goodness-of-fit aim to validate the conformity of a
 postulated model to the data under study. In their standard formulation,
 however, they do not allow exploring how the hypothesized model deviates
 from the truth nor do they provide any insight into how the rejected model
 could be improved to better fit the data. To overcome these shortcomings, we
 establish a comprehensive framework for goodness-of-fit which naturally
 integrates modeling, estimation, inference and graphics. In this package,
 the deviance tests and comparison density plots are performed to conduct the
 LP smoothed inference, where the letter L denotes nonparametric methods
 based on quantiles and P stands for polynomials. Simulations methods are
 used to perform variance estimation, inference and post-selection
 adjustments. Algeri S. and Zhang X. (2020) <arXiv:2005.13011>.

Package: r-cran-lptime
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orthopolynom
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-lptime_1.0-2-1.ca2004.1_all.deb
Size: 58168
MD5sum: 10b8184f08fce85e4906400e770c7b25
SHA1: 65ab77d6f58659160fd3ec28e24ea7e2b13b981c
SHA256: fa2dab22a9880272c1dc90d2d9e5dbc868336c738c285655122f28163303eb91
SHA512: 4643783d293af1204aa4058592c15bf6d843411726aae12971bbc6967dac67bf732c72464e3f4ce310b971dbae1332b54b94e3dec029b66f79ca410cafd4bd53
Homepage: https://cran.r-project.org/package=LPTime
Description: CRAN Package 'LPTime' (LP Nonparametric Approach to Non-Gaussian Non-Linear Time SeriesModelling)
 Specially designed rank transform based Legendre Polynomial-like (LP)
 orthonormal transformations are implemented for non-linear signal
 processing.

Package: r-cran-lqg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lqg_0.1.0-1.ca2004.1_all.deb
Size: 793268
MD5sum: 5c1848ccc0bd77c5a27c473717310cfe
SHA1: 476de8eb6d3d44f92517b58d7ea79d10f8880ea3
SHA256: efcdc1a3beeee00729b8bffd2836d3f5d818d0a7a3d958a37dd90448de0dea9e
SHA512: bccec30655b0bd6b12201deb3bbd2833ea4658c781e96248449ea317f29168260890d6627c7e9d06aeebacf4e10ca9009ba80d9ee91e29d0303aa47b67838637
Homepage: https://cran.r-project.org/package=LqG
Description: CRAN Package 'LqG' (Robust Group Variable Screening Based on Maximum Lq-LikelihoodEstimation)
 Produces a group screening procedure that is based on maximum Lq-likelihood
 estimation, to simultaneously account for the group structure and data
 contamination in variable screening. The methods are described in Li, Y.,
 Li, R., Qin, Y., Lin, C., & Yang, Y. (2021) Robust Group Variable Screening
 Based on Maximum Lq-likelihood Estimation. Statistics in Medicine,
 40:6818-6834.<doi:10.1002/sim.9212>.

Package: r-cran-lqmix
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-rdpack, r-cran-diagram, r-cran-doparallel, r-cran-foreach, r-cran-dosnow
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lqmix_1.1-1.ca2004.1_all.deb
Size: 271656
MD5sum: 3ba8c7bf96219c3eab223083c6047097
SHA1: b385533085bf7c834416e9c67e863d804729ad98
SHA256: 3f9c28156b0fdcfecee4bd3040bc27134de44c8da999ceb0242e05b0e753e68d
SHA512: c7e7030884d2f16a2ebb035fc1599a5afbb1fc5cd55aa5d8aaeb7eaf44fe89db053a3a94a636ad59d271ea1abe9281b5d0d718f410d9a904763eef510609d6e6
Homepage: https://cran.r-project.org/package=lqmix
Description: CRAN Package 'lqmix' (Linear Quantile Mixture Models)
 Estimate linear quantile mixtures based on Time-Constant (TC) and/or
 Time-Varying (TV), discrete, random coefficients.

Package: r-cran-lqr
Architecture: all
Version: 5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.univar, r-cran-numderiv, r-cran-momtrunc, r-cran-quantreg, r-cran-mass
Suggests: r-cran-ald
Filename: pool/dists/focal/main/r-cran-lqr_5.2-1.ca2004.1_all.deb
Size: 228160
MD5sum: 3e58eb7ceb9946eff33aeaeac1a198f6
SHA1: 112b1a9a19705e2a504f1a03a3e080d419e9cf93
SHA256: 5d3efe12abc2f25b89e3d12591b06c7ee9aa57ec5feb3eb048542e1782de4d5e
SHA512: c83c06368e62a4d22cffed5f474346000ddf0795ba2a673f4f1498b2917e2cc0a6c22a7ec473c989bc4cd464ebeda3774d749376353e92bad2e88f322433faa4
Homepage: https://cran.r-project.org/package=lqr
Description: CRAN Package 'lqr' (Robust Linear Quantile Regression)
 It fits a robust linear quantile regression model using a new family of
 zero-quantile distributions for the error term. Missing values and censored
 observations can be handled as well. This family of distribution includes
 skewed versions of the Normal, Student's t, Laplace, Slash and Contaminated
 Normal distribution. It also performs logistic quantile regression for
 bounded responses as shown in Galarza et.al.(2020)
 <doi:10.1007/s13571-020-00231-0>. It provides estimates and full inference.
 It also provides envelopes plots for assessing the fit and confidences bands
 when several quantiles are provided simultaneously.

Package: r-cran-lrd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 561
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr
Suggests: r-cran-ggplot2, r-cran-rmarkdown, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-lrd_0.1.0-1.ca2004.1_all.deb
Size: 261868
MD5sum: c86775b8ef9a2fef39189c62c7179874
SHA1: ff681f00e43c9a0af77b50957b70b0e9bb40111d
SHA256: da56a1fba848605e8b622c5251b2c3e7f3607f4918f4ea8e1a2bb8e1ecfab1ea
SHA512: c98c1cbefcc2842ad864310826baa379be6214c1f2406ccef363a87b86f7e735cf5c3dc78e5cc97a283a55376751bbe36434e79be04a4f6dcdcd6fef67bd0767
Homepage: https://cran.r-project.org/package=lrd
Description: CRAN Package 'lrd' (A Package for Processing Lexical Response Data)
 Lexical response data is a package that can be used for processing
 cued-recall, free-recall, and sentence responses from memory experiments.

Package: r-cran-lrep
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lrep_0.1.1-1.ca2004.1_all.deb
Size: 39384
MD5sum: 8aa61d4370d05992c696102fe1576476
SHA1: 11710a1002d23e53d7b02a81e67bc230f5ad3fc1
SHA256: 51cb34e6bcc5cd1a38efa4bb6f476da477477939532665632903d02669b07f59
SHA512: c54084acd3c6d6e8133246cf5fe8d1495282f9299e553ced5b5c533646fecf50840a5f4a3df1529c911643d4777e3c440fca8f4a3869df9f64692fbfe6ef9fde
Homepage: https://cran.r-project.org/package=LREP
Description: CRAN Package 'LREP' (Estimate and Test Exponential vs. Pareto Distributions)
 The programs were developed for estimation of parameters and testing
 exponential versus Pareto distribution during our work on hydrologic
 extremes. See Kozubowski, T.J., A.K. Panorska, F. Qeadan, and A. Gershunov
 (2007) <doi:10.1080/03610910802439121>, and Panorska, A.K., A. Gershunov,
 and T.J. Kozubowski (2007) <doi:10.1007/978-0-387-34918-3_26>.

Package: r-cran-lrequire
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lrequire_0.1.3-1.ca2004.1_all.deb
Size: 37884
MD5sum: 634377c9c2f2cf2e517a3ff6d99f5ee7
SHA1: 2f42dfaca9892540100b0bc4259b69c25fed86e5
SHA256: fb0b7d5529e9bdb9d464917a0ebeddce86718c4d38abed1eb48e64299e56ba24
SHA512: ed32a0966a324c2b79155340b621df870bbf03251e73a8ca81f2d68a455818ad7de194de06ff5d87652e53fea3bc25f72964223ebd160ac96039ebcd7b6b6949
Homepage: https://cran.r-project.org/package=lrequire
Description: CRAN Package 'lrequire' (Sources an R "Module" with Caching & Encapsulation, ReturningExported Vars)
 In the fashion of 'node.js' <https://nodejs.org/>, requires a file, sourcing
 into the current environment only the variables explicitly specified in the
 module.exports or exports list variable. If the file was already sourced,
 the result of the earlier sourcing is returned to the caller.

Package: r-cran-lrgs
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-lrgs_0.5.4-1.ca2004.1_all.deb
Size: 55004
MD5sum: 0faa3b4207fdf11a12a6e9bd7eed96c7
SHA1: b5cf88c976ba44e1da2972d712a98188837f2295
SHA256: 7008282bc8de210f4a7cb6af747a290b2f73afc86697d64e3c607eae2f81df12
SHA512: e6f24763d5299feac4aab877f828db656682befa1373cb2dd30b876e2086ca8182d7d94860b13078f5259c95ffc0182fa297976acb579e86282bfee72df3ed22
Homepage: https://cran.r-project.org/package=lrgs
Description: CRAN Package 'lrgs' (Linear Regression by Gibbs Sampling)
 Implements a Gibbs sampler to do linear regression with multiple covariates,
 multiple responses, Gaussian measurement errors on covariates and responses,
 Gaussian intrinsic scatter, and a covariate prior distribution which is
 given by either a Gaussian mixture of specified size or a Dirichlet process
 with a Gaussian base distribution. Described further in Mantz (2016)
 <DOI:10.1093/mnras/stv3008>.

Package: r-cran-lrmest
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-psych
Filename: pool/dists/focal/main/r-cran-lrmest_3.0-1.ca2004.1_all.deb
Size: 499968
MD5sum: 5f4286d41b6b7fdfaa199c18662f2a9f
SHA1: 0eaff20b1e6b2832c35d27777ae5df2bfe4cc52e
SHA256: 5c4fd5df29e43ce57bb5e77e8f604073e874af1e1412646a99cf3974f5504642
SHA512: 61bf557a5a524764cef8b98406ead7fa2ed9c07c55e37f3e2661e9529d577b7dd02a44ba93583b002a0e58f189eb2c02e4cf1edbb393a4f961e8cf20f62a575a
Homepage: https://cran.r-project.org/package=lrmest
Description: CRAN Package 'lrmest' (Different Types of Estimators to Deal with Multicollinearity)
 When multicollinearity exists among predictor variables of the linear model,
 least square estimators does not provide a better solution for estimating
 parameters. To deal with multicollinearity several estimators are proposed
 in the literature. Some of these estimators are Ordinary Least Square
 Estimator (OLSE), Ordinary Generalized Ordinary Least Square Estimator
 (OGOLSE), Ordinary Ridge Regression Estimator (ORRE), Ordinary Generalized
 Ridge Regression Estimator (OGRRE), Restricted Least Square Estimator
 (RLSE), Ordinary Generalized Restricted Least Square Estimator (OGRLSE),
 Ordinary Mixed Regression Estimator (OMRE), Ordinary Generalized Mixed
 Regression Estimator (OGMRE), Liu Estimator (LE), Ordinary Generalized Liu
 Estimator (OGLE), Restricted Liu Estimator (RLE), Ordinary Generalized
 Restricted Liu Estimator (OGRLE), Stochastic Restricted Liu Estimator
 (SRLE), Ordinary Generalized Stochastic Restricted Liu Estimator (OGSRLE),
 Type (1),(2),(3) Liu Estimator (Type-1,2,3 LTE), Ordinary Generalized Type
 (1),(2),(3) Liu Estimator (Type-1,2,3 OGLTE), Type (1),(2),(3) Adjusted Liu
 Estimator (Type-1,2,3 ALTE), Ordinary Generalized Type (1),(2),(3) Adjusted
 Liu Estimator (Type-1,2,3 OGALTE), Almost Unbiased Ridge Estimator (AURE),
 Ordinary Generalized Almost Unbiased Ridge Estimator (OGAURE), Almost
 Unbiased Liu Estimator (AULE), Ordinary Generalized Almost Unbiased Liu
 Estimator (OGAULE), Stochastic Restricted Ridge Estimator (SRRE), Ordinary
 Generalized Stochastic Restricted Ridge Estimator (OGSRRE), Restricted Ridge
 Regression Estimator (RRRE) and Ordinary Generalized Restricted Ridge
 Regression Estimator (OGRRRE). To select the best estimator in a practical
 situation the Mean Square Error (MSE) is used. Using this package scalar MSE
 value of all the above estimators and Prediction Sum of Square (PRESS)
 values of some of the estimators can be obtained, and the variation of the
 MSE and PRESS values for the relevant estimators can be shown graphically.

Package: r-cran-lrmf3
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glue
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lrmf3_0.1.0-1.ca2004.1_all.deb
Size: 204612
MD5sum: 25542f27b20419c17a5f9c93789d3285
SHA1: ff53b8eb778badb22193aa5d39b43b8b1a2d87e8
SHA256: c450554ac7b5f74caf218d047d73de87881ba519d94b13707466bffe1fce8e52
SHA512: d4ac6938c35254715c3de742f2a3e0aaf20c8db57f550a609f7c84022230d103e038be0fc8ff35a267a649ae921ce6edd6b8d0568468643ffbad12a42206b1f0
Homepage: https://cran.r-project.org/package=LRMF3
Description: CRAN Package 'LRMF3' (Low Rank Matrix Factorization S3 Objects)
 Provides S3 classes to represent low rank matrix decompositions.

Package: r-cran-lrqmm
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-geneticsped, r-cran-sparsem, r-cran-quantreg, r-cran-matrix, r-cran-kinship2, r-cran-mcmcglmm, r-cran-rsvd, r-cran-r.matlab, r-cran-sparsesvd
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-lrqmm_1.2.3-1.ca2004.1_all.deb
Size: 48196
MD5sum: 9b3f5e35df7a939ea983746d4ef88e99
SHA1: 7a0050cfc40b5b61e1f3a875c81989cbbff22ba3
SHA256: 540bdfc9341d58e683b2a8d1bec585a83d41516cda4827a5e7e9e0abe873b2d3
SHA512: 4c0cad0fcdbadadabd202e0e7bf2163e4e5960ff7024a4d8d70d147d6d83e6047cc3ed027276f3b55fea29ceac02b74e9a3e7e858442c4bc96e084488351420c
Homepage: https://cran.r-project.org/package=LRQMM
Description: CRAN Package 'LRQMM' (Fitting Linear Quantile Regression Mixed Models withRelationship Matrix)
 Fit a quantile regression mixed model involved Relationship Matrix using a
 sparse implementation of the Frisch-Newton interior-point algorithm as
 described in Portnoy and Koenker (1977, Statistical Science)
 <https://www.jstor.org/stable/2246216>.

Package: r-cran-lrtester
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-statmod, r-cran-stringr, r-cran-envstats
Suggests: r-cran-covr, r-cran-testthat, r-cran-lmtest, r-cran-knitr, r-cran-rmarkdown, r-cran-emplik, r-cran-emplik2
Filename: pool/dists/focal/main/r-cran-lrtester_1.3.0-1.ca2004.1_all.deb
Size: 405644
MD5sum: c608317a9f9266c05b701d56cfed9bbe
SHA1: 896af580e9a0018c7546c2f6f901984118ca106f
SHA256: 6b782e17c2b7fff432dfb3b571595167f8e8982d70aeeda5de18927d0b61f48d
SHA512: 63620c9842a0685fb00bf22b5a7ec6e2d242f2fa1bc6cdd79b94ac9c23806e555453c821bbc8ad00e2d82ff616bfb7ed9783abf0d1399f5a05972c5931e597f8
Homepage: https://cran.r-project.org/package=LRTesteR
Description: CRAN Package 'LRTesteR' (Likelihood Ratio Tests and Confidence Intervals)
 A collection of hypothesis tests and confidence intervals based on the
 likelihood ratio <https://en.wikipedia.org/wiki/Likelihood-ratio_test>.

Package: r-cran-lrth
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lrth_1.3-1.ca2004.1_all.deb
Size: 13980
MD5sum: e63e8bb7a4ebafb3f39d6bcacf297594
SHA1: 8e75cf63b875fa7d3c48535cb732ac03c4cd9fea
SHA256: 796abcd8e52465b3aab0b2fe4ff1b0513a5fe1200ebc119fc8428646cfd866bb
SHA512: d3c3512cdb7ea25c0829413487af32d2f70b31e849390a29faa7121a5d1d66ba14d6d6cedadfd2cc402025ced6e7f5572fbdb2ad2e232961961e97787ed20f5d
Homepage: https://cran.r-project.org/package=LRTH
Description: CRAN Package 'LRTH' (A Likelihood Ratio Test Accounting for Genetic Heterogeneity)
 R code of a likelihood ratio test for genome-wide association under genetic
 heterogeneity.

Package: r-cran-ls2wstat
Architecture: all
Version: 2.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ls2w, r-cran-matrixstats, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-ls2wstat_2.1-5-1.ca2004.1_all.deb
Size: 81508
MD5sum: 7879d4d31a580c2638d418e009c3ce3f
SHA1: c317549a9d1a3dc78976bbce836a8e4bc1d700e5
SHA256: 0643710f78a0f339613978092fbf8d70342d218700c23becd08dc9567f357d63
SHA512: 7ad6673801f94af64d4a073a0b9b7d8da9fc78e172e2d97a2b7138ef4a4e6550214faebffa125260eceed5a7179489a975bca80994228e8e42afdd3b99392042
Homepage: https://cran.r-project.org/package=LS2Wstat
Description: CRAN Package 'LS2Wstat' (A Multiscale Test of Spatial Stationarity for LS2W Processes)
 Wavelet-based methods for testing stationarity and quadtree segmenting of
 images, see Taylor et al (2014) <doi:10.1080/00401706.2013.823890>.

Package: r-cran-lsa
Architecture: all
Version: 0.73.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-snowballc
Suggests: r-cran-tm
Filename: pool/dists/focal/main/r-cran-lsa_0.73.3-1.ca2004.1_all.deb
Size: 201576
MD5sum: 5b0a69263318eeb893743dcf8476d3ed
SHA1: dfd6f6d4792aaceea8dce85928c6991f6ee93958
SHA256: 7564ee7cc89086cbbb8d0cadb6b0218efd59928b3aa8877809aa96a41ff7a4dc
SHA512: 20f2abdd6cb281a90f67985f0fdf31a3449b64fb3b6103bca08e3159405970ea201469c4757df3a892964847ec183179e34b1e5682bc9cf3284e057cd1416374
Homepage: https://cran.r-project.org/package=lsa
Description: CRAN Package 'lsa' (Latent Semantic Analysis)
 The basic idea of latent semantic analysis (LSA) is, that text do have a
 higher order (=latent semantic) structure which, however, is obscured by
 word usage (e.g. through the use of synonyms or polysemy). By using
 conceptual indices that are derived statistically via a truncated singular
 value decomposition (a two-mode factor analysis) over a given document-term
 matrix, this variability problem can be overcome.

Package: r-cran-lsafun
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1829
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lsa, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-lsafun_0.8.1-1.ca2004.1_all.deb
Size: 1834816
MD5sum: 2f0db9e63bac6eaf3e3be3bd248b53c6
SHA1: a5ec3b345f762c469a4126d6c9e356896ea38d6d
SHA256: d31e626170f21255623444071c47eac4a6bfc1b0e0753be6f662cc033c8977db
SHA512: ee74b9b281af043f6cf18e362880bc6d81e8077e4fb97f7208dbcee905fb7e08e268e91540fff00963fdaff5a484eb75179594ea217c29a7764b8e3da95f667f
Homepage: https://cran.r-project.org/package=LSAfun
Description: CRAN Package 'LSAfun' (Applied Latent Semantic Analysis (LSA) Functions)
 Provides functions that allow for convenient working with vector space
 models of semantics/distributional semantic models/word embeddings.
 Originally built for LSA models (hence the name), but can be used for all
 such vector-based models.  For actually building a vector semantic space,
 use the package 'lsa' or other specialized software.  Downloadable semantic
 spaces can be found at
 <https://sites.google.com/site/fritzgntr/software-resources>.

Package: r-cran-lsamba
Architecture: all
Version: 2024.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rsmlx, r-cran-foreach, r-cran-doparallel, r-cran-dplyr, r-cran-ggplot2, r-cran-latex2exp, r-cran-mass, r-cran-sharp, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-lsamba_2024.1.0-1.ca2004.1_all.deb
Size: 137460
MD5sum: 8a0d0eddc2df80192611644c7410332a
SHA1: 773d17f054926e87ff71cec4d86a4715daa74c16
SHA256: 7305da4dfbec21457ce5bb2b1932cc1cdb31c302dc2291fa2229e9d12af00dd2
SHA512: 04baf0d676b26d44f7e4fdab7eebee42bcf16448cab015947d4262b37d8c53d1cf5005734bc16575805275652be9171f72d82b51b9a8828e5f1534edfaeb686f
Homepage: https://cran.r-project.org/package=LSAMBA
Description: CRAN Package 'LSAMBA' (Lasso-SAMBA Algorithm)
 Provides a lasso-based method for building mechanistic models using the
 SAMBA algorithm (Stochastic Approximation for Model Building Algorithm) (M
 Prague, M Lavielle (2022) <doi:10.1002/psp4.12742>). The package extends the
 'Rsmlx' package (version 2024.1.0) to better handle high-dimensional data.
 It relies on the 'Monolix' software (version 2024R1; see
 (<https://monolixsuite.slp-software.com/monolix/2024R1/>), which must be
 installed beforehand.

Package: r-cran-lsamitr
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1487
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lme4, r-cran-hmisc
Suggests: r-cran-bifiesurvey, r-cran-tam, r-cran-miceadds, r-cran-sirt, r-cran-mice, r-cran-pls, r-cran-wrightmap, r-cran-irr, r-cran-lavaan, r-cran-difr, r-cran-kerdiest, r-cran-glmnet, r-cran-mirt, r-cran-car, r-cran-mitml, r-cran-matrixstats, r-cran-combinat, r-cran-xtable, r-cran-tensor, r-cran-gtools, r-cran-plyr, r-cran-prettyr, r-cran-gridextra, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-lsamitr_1.0-3-1.ca2004.1_all.deb
Size: 1469144
MD5sum: e2e8049ed80edbff062fcaf17957f95a
SHA1: b228044dad38ecafc041fbd5e1ff6183522587cc
SHA256: 27e34c573ad94d6fce7e505c8df49bc2d67b3aeece9416736f495bb1ece6636a
SHA512: 509b20d3fc713590293af358ef9d4171dd77f08bd90380e0afa5d2512b8325fc93fd05b72b812f73df26d523d1d506f3a9b822b715f7ed3a33afbe8ec3f1f8fe
Homepage: https://cran.r-project.org/package=LSAmitR
Description: CRAN Package 'LSAmitR' (Daten, Beispiele und Funktionen zu 'Large-Scale Assessment mitR')
 Dieses R-Paket stellt Zusatzmaterial in Form von Daten, Funktionen und
 R-Hilfe-Seiten für den Herausgeberband Breit, S. und Schreiner, C. (Hrsg.).
 (2016). "Large-Scale Assessment mit R: Methodische Grundlagen der
 österreichischen Bildungsstandardüberprüfung." Wien: facultas.  (ISBN:
 978-3-7089-1343-8,
 <https://www.iqs.gv.at/themen/bildungsforschung/publikationen/veroeffentlichte-publikationen>)
 zur Verfügung.

Package: r-cran-lsasim
Architecture: all
Version: 2.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-cli, r-cran-polycor
Suggests: r-cran-testthat, r-cran-knitr, r-cran-formatr, r-cran-rmarkdown, r-cran-naepirtparams
Filename: pool/dists/focal/main/r-cran-lsasim_2.1.6-1.ca2004.1_all.deb
Size: 511460
MD5sum: 71618e8c127ba8674e5cd991e84de157
SHA1: 05f1781466b4b78d1f25de0e834ac2f712a8835d
SHA256: d74495e3ede400bd25ea9e524d44bdba3ff52133d827fab04e385a471f742d4a
SHA512: 7b8388d3de7d0b92d3f5d71d53aa0e9547db705aa6d0842041a0decf1eb985e6d3701add6ae1fed59192be80aec84411035ab9ba2262c7766a053cc5eb228d76
Homepage: https://cran.r-project.org/package=lsasim
Description: CRAN Package 'lsasim' (Functions to Facilitate the Simulation of Large Scale AssessmentData)
 Provides functions to simulate data from large-scale educational
 assessments, including background questionnaire data and cognitive item
 responses that adhere to a multiple-matrix sampled design. The theoretical
 foundation can be found on Matta, T.H., Rutkowski, L., Rutkowski, D. et al.
 (2018) <doi:10.1186/s40536-018-0068-8>.

Package: r-cran-lsbs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ks, r-cran-numderiv, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lsbs_0.1-1.ca2004.1_all.deb
Size: 30764
MD5sum: 48152f147e74469563a011c3ba19fece
SHA1: 5a8c18d57b4ded738483544ea5e8b3e074e5a63a
SHA256: aa5683bfb54403230d449097f4e645966003e99877d8b6b46585a70417e0a7b8
SHA512: a51111af27b7df05d1c33f83bef0fdb26892c4f532584f9598811a7eadd1855561e2f47e7e60e99ea15ba6c8a0d352bd9d2c1aa544f1d94d910ae1cc4e2f9d4d
Homepage: https://cran.r-project.org/package=lsbs
Description: CRAN Package 'lsbs' (Bandwidth Selection for Level Sets and HDR Estimation)
 Bandwidth selection for kernel density estimators of 2-d level sets and
 highest density regions. It applies a plug-in strategy to estimate the
 asymptotic risk function and minimize to get the optimal bandwidth matrix.
 See Doss and Weng (2018) <arXiv:1806.00731> for more detail.

Package: r-cran-lsc
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-licors, r-cran-rcolorbrewer, r-cran-fields, r-cran-gam, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-lsc_0.1.5-1.ca2004.1_all.deb
Size: 46792
MD5sum: d72a390cd90d2df3450ec5182d4b7396
SHA1: 54279a8bc9d23423921aefcc3a86380aaf0fa70c
SHA256: b682aedd5c5bb9e4dd4e59f7fdb8635864a6529e1a7314745044e61a9c94af73
SHA512: 624e8747f75c1eef7cdce045b4a3993be80a277dfe08fbd3b5ac62a6a3ebc693bee029918446f82ebc2af4bc3a2f81121c5adfb3cd4289861e9b77472ccae3f0
Homepage: https://cran.r-project.org/package=LSC
Description: CRAN Package 'LSC' (Local Statistical Complexity - Automatic Pattern Discovery inSpatio-Temporal Data)
 Estimators and visualization for local statistical complexity of (N+1)D
 fields. In particular for 0, 1 and 2 dimensional space this package provides
 useful visualization.

Package: r-cran-lsd
Architecture: all
Version: 4.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lsd_4.1-0-1.ca2004.1_all.deb
Size: 238836
MD5sum: 658618ae6b9f77de225b516c65a8b41b
SHA1: 0967e463dbf2a541bb3c6b1db4c433084a4ad715
SHA256: 3a7442334e047a892384a01b6fb6983bd6956cbc9bc2b059b178008b74444821
SHA512: a3e3707949cc1a24a0dd140ba5335a5ebab33d279c9ee931cabab44c78e975b3260b5aa39db51ff343b5d08bce4f982bca38437e439de1107adc4df140ef47f6
Homepage: https://cran.r-project.org/package=LSD
Description: CRAN Package 'LSD' (Lots of Superior Depictions)
 Create lots of colorful plots in a plethora of variations. Try the LSD
 demotour().

Package: r-cran-lsdbc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lsdbc_0.1.0-1.ca2004.1_all.deb
Size: 23404
MD5sum: 2f18e5489876047646b4bc72afb100b0
SHA1: d048cdde527b8662380ec30805a21a7379e213ba
SHA256: 3d84ebcce774fccb74ea98f223aa32bc93a86731b11d79b09fe1df7bde458177
SHA512: 9278c6d7e52e0477356f7b1ade1aadaea225c524ebe59541800c7241581533cb5b68158b09ac452b26b566ead3b7f6cef9e67a09c01853d3e1930a1430f1254d
Homepage: https://cran.r-project.org/package=lsdbc
Description: CRAN Package 'lsdbc' (Locally Scaled Density Based Clustering)
 Implementation of Locally Scaled Density Based Clustering (LSDBC) algorithm
 proposed by Bicici and Yuret (2007) <doi:10.1007/978-3-540-71618-1_82>. This
 package also contains some supporting functions such as betaCV() function
 and get_spectral() function.

Package: r-cran-lsdinterface
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-abind, r-cran-tsdist
Suggests: r-cran-lsdsensitivity, r-cran-lsdirf
Filename: pool/dists/focal/main/r-cran-lsdinterface_1.2.2-1.ca2004.1_all.deb
Size: 184296
MD5sum: d3f6e939776e2cad14ce507a97d7ab20
SHA1: 513c224df14ac9ce4a663cde208eb8c9bb74b26b
SHA256: ad60e539bf3ab2f7de0bde8b41bef5a750335802ed3908f2f5397e25155b8c45
SHA512: 3395913276ad90b7b26a7947f09d6117b0065d095d3dbca7becfd8538811dda83d32018d7ea67c9e657fbd766e95163486475969dbe5faa7c11651d673d1845f
Homepage: https://cran.r-project.org/package=LSDinterface
Description: CRAN Package 'LSDinterface' (Interface Tools for LSD Simulation Results Files)
 Interfaces R with LSD simulation models. Reads object-oriented data in
 results files (.res[.gz]) produced by LSD and creates appropriate
 multi-dimensional arrays in R. Supports multiple core parallel threads of
 multi-file data reading for increased performance. Also provides functions
 to extract basic information and statistics from data files. LSD (Laboratory
 for Simulation Development) is free software developed by Marco Valente and
 Marcelo C. Pereira (documentation and downloads available at
 <https://www.labsimdev.org/>).

Package: r-cran-lsdirf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-digest, r-cran-gplots, r-cran-abind, r-cran-partykit, r-cran-randomforest
Suggests: r-cran-lsdinterface, r-cran-lsdsensitivity
Filename: pool/dists/focal/main/r-cran-lsdirf_0.1.3-1.ca2004.1_all.deb
Size: 145712
MD5sum: 069ef3f4380246bb7acc5567a3011144
SHA1: c6171186df3cd9080495124efaa57313a5decc95
SHA256: 6270d465707dd6bfd398623c758373e1f8d1392d2e00e3fa6dfb1d27cf940ae0
SHA512: 29734809ae1d1e2d8c44eb8e809fdfbecd9b907b5d101c79b35b0d052478ac31fe0fa74ed0e03df1fedc19918d5568a725ff3a12a6325449f390d4b058354340
Homepage: https://cran.r-project.org/package=LSDirf
Description: CRAN Package 'LSDirf' (Impulse-Response Function Analysis for Agent-Based Models)
 Performing impulse-response function (IRF) analysis of relevant variables of
 agent-based simulation models, in particular for models described in 'LSD'
 format. Based on the data produced by the simulation model, it performs both
 linear and state-dependent IRF analysis, providing the tools required by the
 Counterfactual Monte Carlo (CMC) methodology (Amendola and Pereira (2024)
 <doi:10.2139/ssrn.4740360>), including state identification and sensitivity.
 CMC proposes retrieving the causal effect of shocks by exploiting the
 opportunity to directly observe the counterfactual in a fully controlled
 experimental setup. 'LSD' (Laboratory for Simulation Development) is free
 software available at <https://www.labsimdev.org/>).

Package: r-cran-lsdsensitivity
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lsdinterface, r-cran-tseries, r-cran-ksamples, r-cran-diptest, r-cran-lawstat, r-cran-abind, r-cran-sensitivity, r-cran-car, r-cran-randtoolbox, r-cran-rgenoud, r-cran-dicekriging, r-cran-xml
Suggests: r-cran-lsdirf, r-cran-rgl, r-cran-normalp
Filename: pool/dists/focal/main/r-cran-lsdsensitivity_1.3.0-1.ca2004.1_all.deb
Size: 651712
MD5sum: 7c13637dc062020284dec2fe739850c6
SHA1: 8827d796ab345ef04d0ed407962d189d83a3b0e3
SHA256: af5413b7d95ae424c6ebff53558ac104c51b456874c3eb8c1dd91dc90750d314
SHA512: dc81686dbd6b2f8eddacc894c799bc35a56f1a0514f220725f484767243ae4e8cdb9c59fb8f61f56e3a79bff251f568260dfc1bc3981917a9d278d805502b948
Homepage: https://cran.r-project.org/package=LSDsensitivity
Description: CRAN Package 'LSDsensitivity' (Sensitivity Analysis Tools for LSD Simulations)
 Tools for sensitivity analysis of LSD simulation models. Reads
 object-oriented data produced by LSD simulation models and performs
 screening and global sensitivity analysis (Sobol decomposition method,
 Saltelli et al. (2008) ISBN:9780470725177). A Kriging or polynomial
 meta-model (Kleijnen (2009) <doi:10.1016/j.ejor.2007.10.013>) is estimated
 using the simulation data to provide the data required by the Sobol
 decomposition. LSD (Laboratory for Simulation Development) is free software
 developed by Marco Valente and Marcelo C. Pereira (documentation and
 downloads available at <https://www.labsimdev.org/>).

Package: r-cran-lsdv
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lsdv_1.1-1.ca2004.1_all.deb
Size: 19648
MD5sum: 88cedd4df4e6ad690f4d06574ce87c4f
SHA1: c5d4d567d83ce5c52e8bd1136edd8839fadf2fe0
SHA256: 34a6454721ecfdb51aebbe54991de40fb3446c776d42ca148e4e8fd8ef9e00c6
SHA512: c4ec741a1a10f1e434affd5f9fb25792af1939009e9135ee925661bf36c0d16a3e9d8b796d92bb631fc007f732234e09315ab8b7fb5cf65cc92cc2ac87bd91c8
Homepage: https://cran.r-project.org/package=lsdv
Description: CRAN Package 'lsdv' (Least square dummy variable regression)
 Fit a least square dummy variable regression

Package: r-cran-lse
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-lse_1.0.0-1.ca2004.1_all.deb
Size: 38340
MD5sum: 0fb1b298fa8af81f5ecad8be841bfe5d
SHA1: 1430d3e4c023385424f5c2eff113d6c4b3281021
SHA256: 9c050638c19f8b161b84ab298744da4428b6c003fcaa0785b550aaaf463398c5
SHA512: 46273ee5bd3ef69d639c0908ba2ea69e6b2ea0dbc9746c38994b65f7c223a600dd9dca9c894e11fcc89d3aa1eda4df356d87883a08868b2638336a03e90f225e
Homepage: https://cran.r-project.org/package=LSE
Description: CRAN Package 'LSE' (Constrained Least Squares and Generalized QR Factorization)
 The solution of equality constrained least squares problem (LSE) is given
 through four analytics methods (Generalized QR Factorization, Lagrange
 Multipliers, Direct Elimination and Null Space method). We expose the
 orthogonal decomposition called Generalized QR Factorization (GQR) and also
 RQ factorization. Finally some codes for the solution of LSE applied in
 quaternions.

Package: r-cran-lsebootls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-dorng, r-cran-lsts, r-cran-tibble, r-cran-iterators, r-cran-rlecuyer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lsebootls_0.1.0-1.ca2004.1_all.deb
Size: 132688
MD5sum: 477930e5faccb4ea446c424400ba2986
SHA1: 1a12f2b1a05473456626b6e5c1f7d05ad27d6328
SHA256: 3b397482c6cd6a5f6e1c9a11cad8753d4a6536eb4dcdf5e7874137e56bb8e6d1
SHA512: 4e246ab8bca8d0de4ff3d509cef901ccd1a1d4bf4160b8fe109b4aa670e4699ac32d44c83a43fc6db77b576acdc8fb1a72b9b32a67d3a464685059987ec3fdc9
Homepage: https://cran.r-project.org/package=LSEbootLS
Description: CRAN Package 'LSEbootLS' (Bootstrap Methods for Regression Models with Locally StationaryErrors)
 Implements bootstrap methods for linear regression models with errors
 following a time-varying process, focusing on approximating the distribution
 of the least-squares estimator for regression models with locally stationary
 errors. It enables the construction of bootstrap and classical confidence
 intervals for regression coefficients, leveraging intensive simulation
 studies and real data analysis.

Package: r-cran-lshorth
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lshorth_0.1-6-1.ca2004.1_all.deb
Size: 657172
MD5sum: 966fee6e9010d0238dc2ce60e1d2e411
SHA1: abf3307b61a3467b47af5c65e99b3e96481f59ba
SHA256: fd5248b13d5fa38a95d72fe2912731679428dec0dcf46e5a6fc175727a186a6e
SHA512: d56ddfd6947ef4b4a5854e02fba149f3246b4f1029a27169c5480ff6b085b8cda88c5be3877276342cc887af5c83dc30fbdf8fb176a40ba08354cdaca5a904d6
Homepage: https://cran.r-project.org/package=lshorth
Description: CRAN Package 'lshorth' (The Length of the Shorth)
 Calculates the (localised) length of the shorth and supplies corresponding
 diagnostic plots.

Package: r-cran-lsl
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-lsl_0.5.6-1.ca2004.1_all.deb
Size: 166544
MD5sum: 2ea5941ffcb87d9e0fb948ab887e8334
SHA1: a1ee5807e4cb847ede7a0a6fc44442217997d0af
SHA256: 2d8a224eda1fe2b0de29cf108dabc6998e01a9d34aacb1d4a8087acac53771bf
SHA512: 558ac04d5b06d128b5a8a36c3ba4493b6d980c43fb3f33db09b42a8d28304ea20923fde989e4548cd420de5f23e054cd6887fa2f1bb1315b9b8235858bc0b8e6
Homepage: https://cran.r-project.org/package=lsl
Description: CRAN Package 'lsl' (Latent Structure Learning)
 Fits structural equation modeling via penalized likelihood.

Package: r-cran-lsm
Architecture: all
Version: 0.2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-lsm_0.2.1.5-1.ca2004.1_all.deb
Size: 139880
MD5sum: 722b1c4d9ab755b818d44db66aea5902
SHA1: 419716cccf7b8c4e39264943a4c041538e32e910
SHA256: 3fbf45b245c900a2172d1bf130bb0bf3ba552a4f0af97e62b438d0d6d6b80636
SHA512: 416d138d5bc1c1db828a6d2b24351a675eb8fe03e32b211a1e4a36ae45d2ef8efebd14787f52e3c62794e9befae584348052a21c0c4541055bb56c08e591aa9e
Homepage: https://cran.r-project.org/package=lsm
Description: CRAN Package 'lsm' (Estimation of the log Likelihood of the Saturated Model)
 When the values of the outcome variable Y are either 0 or 1, the function
 lsm() calculates the estimation of the log likelihood in the saturated
 model.  This model is characterized by Llinas (2006, ISSN:2389-8976) in
 section 2.3 through the assumptions 1 and 2.  The function LogLik() works
 (almost perfectly) when the number of independent variables K is high, but
 for small K it calculates wrong values in some cases.  For this reason, when
 Y is dichotomous and the data are grouped in J populations, it is
 recommended to use the function lsm() because it works very well for all K.

Package: r-cran-lsmeans
Architecture: all
Version: 2.30-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-lsmeans_2.30-2-1.ca2004.1_all.deb
Size: 38764
MD5sum: a2ffb26d9a35214ea9c62ccbc850ef4c
SHA1: 825c5661bb680b86ec8dc350135c3ed5a29e8e95
SHA256: 2f68f14ad0161e398b8cd537bb889192cc572bae863e8db40c938918efa5ca42
SHA512: cd33a91fabdee38431cd7ee74ccc3f4f6f3c3ad81997436751a395a071558e8f83fde15a74c8b8c3ab0772b21c673f2cc5e929d46d3754d0c26076d3a4ffc69f
Homepage: https://cran.r-project.org/package=lsmeans
Description: CRAN Package 'lsmeans' (Least-Squares Means)
 Obtain least-squares means for linear, generalized linear, and mixed models.
 Compute contrasts or linear functions of least-squares means, and
 comparisons of slopes.  Plots and compact letter displays. Least-squares
 means were proposed in Harvey, W (1960) "Least-squares analysis of data with
 unequal subclass numbers", Tech Report ARS-20-8, USDA National Agricultural
 Library, and discussed further in Searle, Speed, and Milliken (1980)
 "Population marginal means in the linear model: An alternative to least
 squares means", The American Statistician 34(4), 216-221
 <doi:10.1080/00031305.1980.10483031>.  NOTE: lsmeans now relies primarily on
 code in the 'emmeans' package.  'lsmeans' will be archived in the near
 future.

Package: r-cran-lsmontecarlo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-fbasics
Filename: pool/dists/focal/main/r-cran-lsmontecarlo_1.0-1.ca2004.1_all.deb
Size: 105652
MD5sum: 6ac1c9d54495eedb35f113d8f91e258c
SHA1: c1766907ae6ebfea7350f5b00c76fe7720bd80c5
SHA256: 545402f019a5faa0180ddc169846d6c30211eefd11e64edf060fac6bfdb24634
SHA512: c387799b728bf6e607c6f8e6c7bc4e849a1738b9b8bce057542202446de62f95a5b766191b2f76f13270a36dfb0687a998ab640f560675b8db5530d87ce911a3
Homepage: https://cran.r-project.org/package=LSMonteCarlo
Description: CRAN Package 'LSMonteCarlo' (American options pricing with Least Squares Monte Carlo method)
 The package compiles functions for calculating prices of American put
 options with Least Squares Monte Carlo method. The option types are plain
 vanilla American put, Asian American put, and Quanto American put. The
 pricing algorithms include variance reduction techniques such as Antithetic
 Variates and Control Variates. Additional functions are given to derive
 "price surfaces" at different volatilities and strikes, create 3-D plots,
 quickly generate Geometric Brownian motion, and calculate prices of European
 options with Black & Scholes analytical solution.

Package: r-cran-lsmrealoptions
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-nfcp
Filename: pool/dists/focal/main/r-cran-lsmrealoptions_0.2.1-1.ca2004.1_all.deb
Size: 128864
MD5sum: 513515642732100775764a9880d8e1bf
SHA1: 6c201630f90ca7969516482a783ae06dfb166bfd
SHA256: 7b955ca7ddde3cbc529383c45b178ef30bb221b258e29285072837d31fb4b76c
SHA512: 4c80952b6c709f1195c8caa82219f2911d407abfe306c07de1d2a2daf0579adc6f6961df771f6c2c6b1e3b5bd88dee6c8ae3f1d81538e1d619fc73e4c03a4c6f
Homepage: https://cran.r-project.org/package=LSMRealOptions
Description: CRAN Package 'LSMRealOptions' (Value American and Real Options Through LSM Simulation)
 The least-squares Monte Carlo (LSM) simulation method is a popular method
 for the approximation of the value of early and multiple exercise options.
 'LSMRealOptions' provides implementations of the LSM simulation method to
 value American option products and capital investment projects through real
 options analysis. 'LSMRealOptions' values capital investment projects with
 cash flows dependent upon underlying state variables that are stochastically
 evolving, providing analysis into the timing and critical values at which
 investment is optimal. 'LSMRealOptions' provides flexibility in the
 stochastic processes followed by underlying assets, the number of state
 variables, basis functions and underlying asset characteristics to allow a
 broad range of assets to be valued through the LSM simulation method. Real
 options projects are further able to be valued whilst considering
 construction periods, time-varying initial capital expenditures and
 path-dependent operational flexibility including the ability to temporarily
 shutdown or permanently abandon projects after initial investment has
 occurred. The LSM simulation method was first presented in the prolific work
 of Longstaff and Schwartz (2001) <doi:10.1093/rfs/14.1.113>.

Package: r-cran-lsnstat
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lsnstat_1.0.1-1.ca2004.1_all.deb
Size: 24324
MD5sum: 9edb77e4aba1cddac62e50f9f7cb4b25
SHA1: baff59ea94d8f52dd7a3504fada433f97f5a8c6d
SHA256: 7b54935adc8775d46b808e51e02c2731f83aa2483785a3458c11a834a218f45a
SHA512: cb2a00b70bd4f724fe49087108ba060d9fcddcab2afe5fbe834c18489c528c5cd901d8fd2c8ebbe25c107c5022a944d7369db69ca2dbeff0057005f2895f5211
Homepage: https://cran.r-project.org/package=lsnstat
Description: CRAN Package 'lsnstat' ('La Societe Nouvelle' API Access)
 Tools facilitating access to the 'macro_data' service of the 'La Societe
 Nouvelle' API. It ensures an easy and fully-disclosed access to all
 macro-level data used in the 'La Societe Nouvelle' systems and the related
 metadata.  Related API can be accessed from
 <https://api.lasocietenouvelle.org/>.

Package: r-cran-lspartition
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2406
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-pracma, r-cran-mgcv, r-cran-combinat, r-cran-matrixstats, r-cran-mass, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-lspartition_0.5-1.ca2004.1_all.deb
Size: 2432648
MD5sum: 8e99d91d903c4c7c3dd2b8a96feaaee6
SHA1: c17b19df61298025a7aba1993f8272c84a24fbca
SHA256: 1573b6c859e775edc951841f32a93997fd9456f148f4466fba387d9635192f5d
SHA512: e30de9d6e86aea1182072b70e0669f82cc3e57945cf4f7a00e383444d7f99a5f6784a6ff68fdb76e5a616fd1a1692081fcf9123dec8c5a3db1d918ff6ee688bf
Homepage: https://cran.r-project.org/package=lspartition
Description: CRAN Package 'lspartition' (Nonparametric Estimation and Inference Procedures usingPartitioning-Based Least Squares Regression)
 Tools for statistical analysis using partitioning-based least squares
 regression as described in Cattaneo, Farrell and Feng (2020a,
 <doi:10.48550/arXiv.1804.04916>) and Cattaneo, Farrell and Feng (2020b,
 <doi:10.48550/arXiv.1906.00202>): lsprobust() for nonparametric point
 estimation of regression functions and their derivatives and for robust
 bias-corrected (pointwise and uniform) inference; lspkselect() for
 data-driven selection of the IMSE-optimal number of knots; lsprobust.plot()
 for regression plots with robust confidence intervals and confidence bands;
 lsplincom() for estimation and inference for linear combinations of
 regression functions from different groups.

Package: r-cran-lspfp
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-rcurl, r-cran-data.table, r-cran-bit64, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-lspfp_1.0.3-1.ca2004.1_all.deb
Size: 148804
MD5sum: 2ced13e015f78d70ba80ebcec7bfc536
SHA1: 4b0fbf08a7f77952345600055d99069e90391baa
SHA256: 8f1399843d679e28818002a378c4e93f984f7f01cb725f2f39b7dff84d18f8f7
SHA512: e8618072cd69562634fee20817567825a43023e4b9cf3b2e6548b19f632b622eb2fcaaef75c3b92ab290f91b07895d107bf78af3ebf5e0caa5989adf1f6598f2
Homepage: https://cran.r-project.org/package=LSPFP
Description: CRAN Package 'LSPFP' (Lysate and Secretome Peptide Feature Plotter)
 Creates plots of peptides from shotgun proteomics analysis of secretome and
 lysate samples. These plots contain associated protein features and scores
 for potential secretion and truncation.

Package: r-cran-lspline
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-ggplot2, r-cran-broom
Filename: pool/dists/focal/main/r-cran-lspline_1.0-0-1.ca2004.1_all.deb
Size: 65144
MD5sum: 99a6b64b4b04e75e5fcb54dd04cce30e
SHA1: 9d279989a0413fa4b566780ce0d23a87b33e86b7
SHA256: a15d2d019eebe8dfb1e19f8506122e397c6493782a6afa18d534c967842e6b14
SHA512: 684d9b42d29134391bd405d3e359818029c797ec80a93cd0126164065a1b7691d7a6032bd7258c3e14bcff3355f8fbb1f9ccef72a69ecd55d0033c94c3b61f26
Homepage: https://cran.r-project.org/package=lspline
Description: CRAN Package 'lspline' (Linear Splines with Convenient Parametrisations)
 Linear splines with convenient parametrisations such that (1) coefficients
 are slopes of consecutive segments or (2) coefficients are slope changes at
 consecutive knots. Knots can be set manually or at break points of
 equal-frequency or equal-width intervals covering the range of 'x'.  The
 implementation follows Greene (2003), chapter 7.2.5.

Package: r-cran-lspls
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pls
Filename: pool/dists/focal/main/r-cran-lspls_0.2-2-1.ca2004.1_all.deb
Size: 85996
MD5sum: 465a26c1a3853583234f30bc927c11a0
SHA1: c4b7fac46a1b792267c8b7f04b7d6152fb0b7365
SHA256: acbc6fdff09ebc131efccd2fb220cb0432ea7a6a34e0a6927a7a67c36a41f0a2
SHA512: bdf082ccc05d1768aa13a27e08e0b637c4f5ac14595dbfe476a276f8cdb299ca8b91c6fa447cb00f52db412228d62d8c1cb01b559c96be3942d906a44419544c
Homepage: https://cran.r-project.org/package=lspls
Description: CRAN Package 'lspls' (LS-PLS Models)
 Implements the LS-PLS (least squares - partial least squares) method
 described in for instance Jørgensen, K., Segtnan, V. H., Thyholt, K., Næs,
 T. (2004) "A Comparison of Methods for Analysing Regression Models with Both
 Spectral and Designed Variables" Journal of Chemometrics, 18(10), 451--464,
 <doi:10.1002/cem.890>.

Package: r-cran-lsplsglm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1663
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lsplsglm_1.0-1.ca2004.1_all.deb
Size: 1628924
MD5sum: a3ed48ca7428271b319faadd0348a5cf
SHA1: f7dbd492157bda39d3b09011cc3cd0287e5c111f
SHA256: aa262b5d3616e28765ada890d21fb562cb6dd0805c76931aed8ccba5fb850363
SHA512: cf633d94abf8be50d0a2e8cbff97f7f38f0fc7a505ab4e5576587623d117726fdc0b5fcf9b3a79d54edc5e4c011e3e254369f8726dd9cb8032b72ac4296ced9a
Homepage: https://cran.r-project.org/package=lsplsGlm
Description: CRAN Package 'lsplsGlm' (Classification using LS-PLS for Logistic Regression)
 Fit logistic regression models using LS-PLS approaches to analyse both
 clinical and genomic data. (C. Bazzoli and S. Lambert-Lacroix. (2017)
 Classification using LS-PLS with logistic regression based on both clinical
 and gene expression variables
 <https://hal.archives-ouvertes.fr/hal-01405101>).

Package: r-cran-lsr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lsr_0.5.2-1.ca2004.1_all.deb
Size: 207696
MD5sum: b4d1123f1d1eea8f250ff7f1f94e6125
SHA1: 3b8d75cc4c2a63db75e9e48e3637c7f5c9899694
SHA256: ac892e889efbdf7fc1706031a9049fc9f6714fe0a7dbd8c6ed5c666c8ff4c10e
SHA512: 82e2bd1eda2cd9ebe774b5f0a3905508b7d6a0e92a851e59ed61fa53ec807ed7f99537c4b9f805dcdd01df04f93f32dc16970bc97b854e5b814fb9b00760124e
Homepage: https://cran.r-project.org/package=lsr
Description: CRAN Package 'lsr' (Companion to "Learning Statistics with R")
 A collection of tools intended to make introductory statistics easier to
 teach, including wrappers for common hypothesis tests and basic data
 manipulation. It accompanies Navarro, D. J. (2015). Learning Statistics with
 R: A Tutorial for Psychology Students and Other Beginners, Version 0.6.

Package: r-cran-lsrs
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-raster, r-cran-sp, r-cran-rastervis, r-cran-lattice, r-cran-latticeextra, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-lsrs_0.2.0-1.ca2004.1_all.deb
Size: 35036
MD5sum: 16537605f095f3f1ac2b1e7755d45b42
SHA1: 370b15e8508b43caaa0aea65f707db4588dd9554
SHA256: a521b21d1b79de5a1538dcd8aa1bbd38a699862670214d758ed9a175c88ad408
SHA512: 2544d8929427f745eff5f88fe6802285d1423209628df536bc1867c106d67b0a03cff71d1baaccaaa12f91757b9eaf421e041d4c821577855120b39781863516
Homepage: https://cran.r-project.org/package=LSRS
Description: CRAN Package 'LSRS' (Land Surface Remote Sensing)
 Rapid satellite data streams in operational applications have clear benefits
 for monitoring land cover, especially when information can be delivered as
 fast as changing surface conditions. Over the past decade, remote sensing
 has become a key tool for monitoring and predicting environmental variables
 by using satellite data.  This package presents the main applications in
 remote sensing for land surface monitoring and land cover mapping (soil,
 vegetation, water...).  Tomlinson, C.J., Chapman, L., Thornes, E., Baker, C
 (2011) <doi:10.1002/met.287>.

Package: r-cran-lss2
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-lss2_1.1-1.ca2004.1_all.deb
Size: 27648
MD5sum: 5706f700e88ef9411c207253fbc62c65
SHA1: dd8642fa17e009ecdab9e7bb35b5e0f723fdb33d
SHA256: 68f56a78b28b0c949c25c76c365a5fdcaf01f7d69bd041b206b19ea0c0a65ba2
SHA512: a14756b8fee7a51de6ea24ab6a41c1c54fe3d4246428ac2dd24d5d62955ad45909c15c71e1d0258499bde35fa2301462400741844131d50b58fadd74943586dc
Homepage: https://cran.r-project.org/package=lss2
Description: CRAN Package 'lss2' (The Accelerated Failure Time Model to Right Censored Data Basedon Least-Squares Principle)
 Due to lack of proper inference procedure and software, the ordinary linear
 regression model is seldom used in practice for the analysis of right
 censored data. This paper presents an S-Plus/R program that implements a
 recently developed inference procedure (Jin, Lin and Ying, 2006)
 <doi:10.1093/biomet/93.1.147> for the accelerated failure time model based
 on the least-squares principle.

Package: r-cran-lst
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-lst_2.0.0-1.ca2004.1_all.deb
Size: 45868
MD5sum: c3b340f803f495f34007d81853d98cba
SHA1: 9a56a618c2d78ea375e96b303268891804d56b39
SHA256: f45062fac23ea42d2c959d3f91f43adbdf5e0e85a60da085d21511c55f37a949
SHA512: 7e16ac178f0363d7e69756e5fda2dc49e705cdb939963bf593a1fb2cabfdac274231d69ddf16f1ea2db4c2e9137c46a1ca9a29ac8bba24cecd90d6c0d729e6a4
Homepage: https://cran.r-project.org/package=LST
Description: CRAN Package 'LST' (Land Surface Temperature Retrieval for Landsat 8)
 Calculates Land Surface Temperature from Landsat band 10 and 11.  Revision
 of the Single-Channel Algorithm for Land Surface Temperature Retrieval From
 Landsat Thermal-Infrared Data. Jimenez-Munoz JC, Cristobal J, Sobrino JA, et
 al (2009). <doi: 10.1109/TGRS.2008.2007125>.  Land surface temperature
 retrieval from LANDSAT TM 5. Sobrino JA, Jiménez-Muñoz JC, Paolini L (2004).
 <doi:10.1016/j.rse.2004.02.003>.  Surface temperature estimation in
 Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data.
 Srivastava PK, Majumdar TJ, Bhattacharya AK (2009). <doi:
 10.1016/j.asr.2009.01.023>.  Mapping land surface emissivity from NDVI:
 Application to European, African, and South American areas. Valor E (1996).
 <doi:10.1016/0034-4257(96)00039-9>.  On the relationship between thermal
 emissivity and the normalized difference vegetation index for natural
 surfaces. Van de Griend AA, Owe M (1993). <doi:10.1080/01431169308904400>.
 Land Surface Temperature Retrieval from Landsat 8 TIRS—Comparison between
 Radiative Transfer Equation-Based Method, Split Window Algorithm and Single
 Channel Method. Yu X, Guo X, Wu Z (2014). <doi:10.3390/rs6109829>.
 Calibration and Validation of land surface temperature for Landsat8-TIRS
 sensor. Land product validation and evolution. Skoković D, Sobrino JA,
 Jimenez-Munoz JC, Soria G, Julien Y, Mattar C, Cristóbal J. (2014).

Package: r-cran-lstbook
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2878
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-ggplot2, r-cran-broom, r-cran-glue, r-cran-mass, r-cran-tibble, r-cran-stringi
Suggests: r-cran-igraph, r-cran-mosaicdata, r-cran-moderndive, r-cran-palmerpenguins, r-cran-stringdist, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lstbook_0.6-1.ca2004.1_all.deb
Size: 2484736
MD5sum: 68ed3ed038762e6efb6c7fbdfd26c365
SHA1: b6bbc02b7fd07dbc6b80e7587f05d20b35d0ffdd
SHA256: 2c6a2fc1c939e861feebb0224192a4780f59f82c0c7bbb57a152a8b267a81ebd
SHA512: ac8867225ee2779eb5d5be39da17c6eb1d707b1194affa0062fe3aed41561138499a665d0aaaf79213841a8f010a98b375df3fd003ba95534abe487557bedd27
Homepage: https://cran.r-project.org/package=LSTbook
Description: CRAN Package 'LSTbook' (Data and Software for "Lessons in Statistical Thinking")
 "Lessons in Statistical Thinking" D.T. Kaplan (2014)
 <https://dtkaplan.github.io/Lessons-in-statistical-thinking/> is a textbook
 for a first or second course in statistics that embraces data wrangling,
 causal reasoning, modeling, statistical adjustment, and simulation.
 'LSTbook' supports the student-centered, tidy, pipeline-oriented computing
 style featured in the book.

Package: r-cran-lsts
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-ggplot2, r-cran-scales, r-cran-patchwork
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lsts_2.1-1.ca2004.1_all.deb
Size: 90608
MD5sum: f215a88bc48c1fac0d311add898ea68b
SHA1: 86d92ce5ff85c65cc8324619d02408165db97194
SHA256: 24921b3943bf51c0bcf5467af85192d827512a690c462a376f02aca425314553
SHA512: 74a4322d13146400679fe8813064f304c7e2f10a7212bb5cb9067fa95b41dd696b233ae4fdc49fd6ea5fd90f6f1314f81892d1fb1246d78a1d3cf77db9b3a7ba
Homepage: https://cran.r-project.org/package=LSTS
Description: CRAN Package 'LSTS' (Locally Stationary Time Series)
 A set of functions that allow stationary analysis and locally stationary
 time series analysis.

Package: r-cran-lsvar
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mvtnorm, r-cran-pracma
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-lsvar_1.2-1.ca2004.1_all.deb
Size: 52488
MD5sum: 2eb9ada4ecfcd789eb3d928cdf4b6f92
SHA1: f90c70f803cfca3766f4c6c8adda6ac1c82632ae
SHA256: daf8b509f9174709d1af9a47da35aafb1f0300a5f9538f0b9415332ae340f67f
SHA512: 0ea5300851f82a07aa331424dd4f5f3e95b44a5aac8fced1a94d115c422c92fad0cb5e1c407e2c7830842736abfbbc2925a6aec25700db366edc227cf3951eb6
Homepage: https://cran.r-project.org/package=LSVAR
Description: CRAN Package 'LSVAR' (Estimation of Low Rank Plus Sparse Structured VectorAuto-Regressive (VAR) Model)
 Implementations of estimation algorithm of low rank plus sparse structured
 VAR model by using Fast Iterative Shrinkage-Thresholding Algorithm (FISTA).
 It relates to the algorithm in Sumanta, Li, and Michailidis (2019)
 <doi:10.1109/TSP.2018.2887401>.

Package: r-cran-lswplib
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waveslim, r-cran-wavethresh
Filename: pool/dists/focal/main/r-cran-lswplib_0.1.0-1.ca2004.1_all.deb
Size: 71252
MD5sum: ff92d2d3f16142fc0c5bfd1cbef92757
SHA1: 518b27677d2f70319baef693d7ea3109f3fdd9c0
SHA256: 1fef3c94e6558b8ca4322b9231f3aaf063e6bd281ae62bb56372da5ef156bf00
SHA512: ce05e25c35567532c9011216bb47e5d32f5cd838cabbad6bcf74c4bb85c1acac62a0ce14a20020ca4f737d78a63042a58e44f75c529ff0f889c873dfee151ce4
Homepage: https://cran.r-project.org/package=LSWPlib
Description: CRAN Package 'LSWPlib' (Simulation and Spectral Estimation of Locally Stationary WaveletPacket Processes)
 Library of functions for the statistical analysis and simulation of Locally
 Stationary Wavelet Packet (LSWP) processes.  The methods implemented by this
 library are described in Cardinali and Nason (2017)
 <doi:10.1111/jtsa.12230>.

Package: r-cran-lsx
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-stringi, r-cran-digest, r-cran-matrix, r-cran-rspectra, r-cran-proxyc, r-cran-ggplot2, r-cran-ggrepel, r-cran-reshape2, r-cran-locfit
Suggests: r-cran-testthat, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-wordvector, r-cran-irlba, r-cran-rsvd, r-cran-rsparse
Filename: pool/dists/focal/main/r-cran-lsx_1.4.5-1.ca2004.1_all.deb
Size: 157888
MD5sum: d8bc1420283f4befbe3f2151c5ee2c13
SHA1: af2fc6f339bc8ddf71fe5990ef4e708ddc0a30bb
SHA256: ad773a9cfaba4f9d430568acb0f313ed4b5be2ab9df218528895e55207eee39d
SHA512: 4da3fdbf917487c09829f8775dee0254aed0bdc8a1e4e3fcd5492fa9d67984e679a1b6b6a58b68e3f37b9358ccd3fd6f326857a1b4092f3a78680a6c96b5d6e3
Homepage: https://cran.r-project.org/package=LSX
Description: CRAN Package 'LSX' (Semi-Supervised Algorithm for Document Scaling)
 A word embeddings-based semi-supervised model for document scaling Watanabe
 (2020) <doi:10.1080/19312458.2020.1832976>.  LSS allows users to analyze
 large and complex corpora on arbitrary dimensions with seed words exploiting
 efficiency of word embeddings (SVD, Glove).  It can generate word vectors on
 a users-provided corpus or incorporate a pre-trained word vectors.

Package: r-cran-ltable
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipr, r-cran-mass, r-cran-nloptr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ltable_2.0.4-1.ca2004.1_all.deb
Size: 1054460
MD5sum: 885c8072409698961ca6e95f845d5513
SHA1: 296ab1c21052bf579e9f14a2ab445b4337d9a5a9
SHA256: 31cfd1a1344a729d5c40df4d8d2f41a19c944177df4effddef00e6ba7bcf4bbc
SHA512: 1f82277444396e84736eba08c68183ce9fff93f51cd956aa3fd269657d44ac54b8190efc696e6cec3f1f992215346887c497e2405d2d68490128b6073beaae4b
Homepage: https://cran.r-project.org/package=ltable
Description: CRAN Package 'ltable' (Easy to Make (Lazy) Tables)
 Constructs tables of counts and proportions out of data sets with
 possibility to insert tables to Excel, Word, HTML, and PDF documents.
 Transforms tables to data suitable for modelling. Features Gibbs sampling
 based log-linear (NB2) and power analyses (original by Oleksandr Ocheredko
 <doi:10.35566/isdsa2019c5>) for tabulated data.

Package: r-cran-ltar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vars, r-cran-rtensor, r-cran-rtensor2, r-cran-gsignal
Filename: pool/dists/focal/main/r-cran-ltar_0.1.0-1.ca2004.1_all.deb
Size: 120476
MD5sum: c54ed3c456549392e33614f393486011
SHA1: 5775c6dd13f5ead55e7684dc0248cc81cc6fa560
SHA256: 652a9e4182054664092d5c75ab136663455369a66d13ff79445cf3814281b61b
SHA512: 6f74d2957f727b1af97adeaa03cccd4d0e8f48663ce2b721fec74f4cac9f7ed057ebc50ae4048b534a5d5445494283c8819d9e1c082e0b3076f613cdc8bf0d1b
Homepage: https://cran.r-project.org/package=LTAR
Description: CRAN Package 'LTAR' (Tensor Forecasting Functions)
 A set of tools for forecasting the next step in a multidimensional setting
 using tensors.  In the examples, a forecast is made of sea surface
 temperatures of a geographic grid (i.e. lat/long).  Each observation is a
 matrix, the entries in the matrix and the sea surface temperature at a
 particular lattitude/longitude. Cates, J., Hoover, R. C., Caudle, K., Kopp,
 R., & Ozdemir, C. (2021) "Transform-Based Tensor Auto Regression for
 Multilinear Time Series Forecasting" in 2021 20th IEEE International
 Conference on Machine Learning and Applications (ICMLA) (pp. 461-466), IEEE
 <doi:10.1109/ICMLA52953.2021.00078>.

Package: r-cran-ltasr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-knitr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-xml, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ltasr_0.1.4-1.ca2004.1_all.deb
Size: 1372968
MD5sum: cabc8bf38a29ed4bb275ba37c79792d1
SHA1: e9a467dd5c6441515a45206cdc18344598549e89
SHA256: 6bc8a5815021588870e935ccba8396941200e54454d84bd5244f4dc86f1ff8f6
SHA512: 1a748dc8c44497f9847362427a95cedcef916cb999880a9bf6e9d846058eecad4142a11defe7e18d668adf4b3ad74b29fb9689761aba95a62d96f08456ef7b03
Homepage: https://cran.r-project.org/package=LTASR
Description: CRAN Package 'LTASR' (Functions to Replicate the Center for Disease Control andPrevention's 'LTAS' Software in R)
 A suite of functions for reading in a rate file in XML format, stratify a
 cohort, and calculate 'SMRs' from the stratified cohort and rate file.

Package: r-cran-ltcdm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdina, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggsignif
Filename: pool/dists/focal/main/r-cran-ltcdm_1.0.0-1.ca2004.1_all.deb
Size: 146416
MD5sum: 6e3ad8903e5ee0c23d422f14a0642a8e
SHA1: 66dfefc9fb86207c3f8240c307058ae151869475
SHA256: 4f74e7f1be6b713fd2e4b7505ffed607a376c04c9e81602b395e9b48c9d03788
SHA512: d94349489f72e79502e2e7d28513ed9538608b0d1a5cf6c0d24d33cb2229ec862ccde3c1e899f0add8115e3bf50b628247dbc58cf09727bcf2a997fe478681ff
Homepage: https://cran.r-project.org/package=LTCDM
Description: CRAN Package 'LTCDM' (Latent Transition Cognitive Diagnosis Model with Covariates)
 Implementation of the three-step approach of latent transition cognitive
 diagnosis model (CDM) with covariates. This approach can be used to assess
 changes in attribute mastery status and to evaluate the covariate effects on
 both the initial states and transition probabilities over time using latent
 logistic regression. Because stepwise approaches often yield biased
 estimates, correction for classification error probabilities (CEPs) is
 considered in this approach. The three-step approach for latent transition
 CDM with covariates involves the following steps: (1) fitting a CDM to the
 response data without covariates at each time point separately, (2)
 assigning examinees to latent states at each time point and computing the
 associated CEPs, and (3) estimating the latent transition CDM with the known
 CEPs and computing the regression coefficients. The method was proposed in
 Liang et al. (2023) <doi:10.3102/10769986231163320> and demonstrated using
 mental health data in Liang et al. (in press; annotated R code and data
 utilized in this example are available in Mendeley data)
 <doi:10.17632/kpjp3gnwbt.1>.

Package: r-cran-lterdatasampler
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4606
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-janitor, r-cran-usethis, r-cran-metajam, r-cran-tidyverse, r-cran-here, r-cran-broom, r-cran-sf, r-cran-ggmap, r-cran-leaflet, r-cran-lubridate, r-cran-patchwork, r-cran-tsibble, r-cran-feasts, r-cran-changepoint, r-cran-gt
Filename: pool/dists/focal/main/r-cran-lterdatasampler_0.1.1-1.ca2004.1_all.deb
Size: 4272928
MD5sum: 8321be21b261f97c50f827d8fac5fb5c
SHA1: c1d339f15e3cde36b4c8c64aec6d2f15aef7a5ab
SHA256: 4570325301c6b2bbc2c08508eeace02f8cac3261a9e671666176a0e33471bbd7
SHA512: 1bc14cf188a3a71546f2601b35285d1fd4d8e6c236a7d88b56863149baf2d25aa47f0050ea13d488803d84fc2d43767251dee161d9cc6020dda4230f73afac98
Homepage: https://cran.r-project.org/package=lterdatasampler
Description: CRAN Package 'lterdatasampler' (Educational Dataset Examples from the Long Term EcologicalResearch Program)
 Curated datasets from US Long Term Ecological Research sites.

Package: r-cran-lterpalettefinder
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4846
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-jpeg, r-cran-magick, r-cran-magrittr, r-cran-png, r-cran-tidyr, r-cran-tiff
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lterpalettefinder_1.1.0-1.ca2004.1_all.deb
Size: 4119296
MD5sum: d3d1cc541b071d415ec9976be17071a8
SHA1: 8227d3f9c58044b9582a0d124cc8036fe2e829f5
SHA256: 1afa4616f48ab2097a2534a41acd77e034729eb9a515e9ad9f27c22d4a8ab724
SHA512: aab02d7744b02a3b512e2039a97f640f4d5ae8be8228fd45c166800f2653c0006d8d518948388fc779f02c9ce3c9511c8433ad99fc32f26bdbb79674e90003b9
Homepage: https://cran.r-project.org/package=lterpalettefinder
Description: CRAN Package 'lterpalettefinder' (Extract Color Palettes from Photos and Pick Official LTERPalettes)
 Allows identification of palettes derived from LTER (Long Term Ecological
 Research) photographs based on user criteria.  Also facilitates extraction
 of palettes from users' photos directly.

Package: r-cran-ltertools
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 802
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-readxl, r-cran-stringr, r-cran-supportr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ltertools_2.0.0-1.ca2004.1_all.deb
Size: 428468
MD5sum: f67cdb53729fd7aa8f139e17fd297650
SHA1: d0578193deec2bb19a0ea9efdb96ab507878a5c3
SHA256: 237e4a38feba34f172399eef299e25f45014552adcec8cf647602178d6c5f412
SHA512: b34962305712be50b6fe42e8a5952e58202cc70a39ea5adc0928df576986e3d13670079b408f8f5ac883ed2a63c63d0cb3fdd6aa55ac1a173cb2b8c9676bbbfd
Homepage: https://cran.r-project.org/package=ltertools
Description: CRAN Package 'ltertools' (Tools Developed by the Long Term Ecological Research Community)
 Set of the data science tools created by various members of the Long Term
 Ecological Research (LTER) community. These functions were initially written
 largely as standalone operations and have later been aggregated into this
 package.

Package: r-cran-ltm
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 817
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-msm, r-cran-polycor
Filename: pool/dists/focal/main/r-cran-ltm_1.2-0-1.ca2004.1_all.deb
Size: 705744
MD5sum: c945a5bb253a213ba7ae6a4b180d49a2
SHA1: 58c12a2de6cc2b008ddbfd087870ef8a6eb3d1d0
SHA256: 65b4b44a76030fdac636cb75b62726857ca19686abc1f834c37dc2333e6f9497
SHA512: c7a3530d7cf984cfdbf95a86ce60d3e218aa43ab37802a0410f898c4c9bff18ec46fbb6aa312080429841921ce53cb9a7725d156cf5818e9c4842b127096e36b
Homepage: https://cran.r-project.org/package=ltm
Description: CRAN Package 'ltm' (Latent Trait Models under IRT)
 Analysis of multivariate dichotomous and polytomous data using latent trait
 models under the Item Response Theory approach. It includes the Rasch, the
 Two-Parameter Logistic, the Birnbaum's Three-Parameter, the Graded Response,
 and the Generalized Partial Credit Models.

Package: r-cran-ltmix
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gtools, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-ltmix_0.2.2-1.ca2004.1_all.deb
Size: 60496
MD5sum: 0c516af3975ce5be1afb68c211668f5b
SHA1: 43f319d39495674ae3b1a7288417ca5b8e44d5a4
SHA256: faffa365467b8aee2a1ec39008aa5081916ae32dd6ea9030369b0df813ed80dd
SHA512: a65da5b21e161555172352e0f1133b07a260122dfda1cc5aedb451e6df5b8d15441273828af598134863abe81847a825ba645b720f062fe7f8d0ecb3e4c19167
Homepage: https://cran.r-project.org/package=ltmix
Description: CRAN Package 'ltmix' (Left-Truncated Mixtures of Gamma, Weibull, and LognormalDistributions)
 Mixture modelling of one-dimensional data using combinations of
 left-truncated Gamma, Weibull, and Lognormal Distributions. Blostein, Martin
 & Miljkovic, Tatjana. (2019) <doi:10.1016/j.insmatheco.2018.12.001>.

Package: r-cran-ltmle
Architecture: all
Version: 1.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-matrixstats
Suggests: r-cran-superlearner, r-cran-testthat, r-cran-tmle, r-cran-knitr, r-cran-rmarkdown, r-cran-nnls, r-cran-arm
Filename: pool/dists/focal/main/r-cran-ltmle_1.3-0-1.ca2004.1_all.deb
Size: 249232
MD5sum: e93aef4f3922557228865eed27150d97
SHA1: 3711f3df384b8967aeb9284f3342efb68e68fc38
SHA256: e5e501c71404412f71bbba96591454a05d6e7ee519f6315df77de226944c2bf4
SHA512: 3219973bd8fff3a5b379fe68dd7cc46b6918a2560785de9e92ecea29dab913763e8958bf03c09569ebe04aa355aa9f1f43dcf9b5626b05440e9e5018ff78b582
Homepage: https://cran.r-project.org/package=ltmle
Description: CRAN Package 'ltmle' (Longitudinal Targeted Maximum Likelihood Estimation)
 Targeted Maximum Likelihood Estimation ('TMLE') of treatment/censoring
 specific mean outcome or marginal structural model for point-treatment and
 longitudinal data.

Package: r-cran-ltpdvar
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ltpdvar_1.2.1-1.ca2004.1_all.deb
Size: 71808
MD5sum: 613d43c8418246d322e1aab0a62774de
SHA1: dd8b258823893214aecd03849b3a039765e9e0bb
SHA256: 76101c054f0e7c2d17c47c4b4da2051a8e6eea541ef810fe60f7e4b87efbba94
SHA512: 65ad3108dc8b1c76d92dca48d253e916e4127ba356602969faf402b80f481239a9835a90a4c5210b42fb96e4d59d4089bb24375bf5ffddb3d36426c4e377e8f0
Homepage: https://cran.r-project.org/package=LTPDvar
Description: CRAN Package 'LTPDvar' (LTPD and AOQL Plans for Acceptance Sampling Inspection byVariables)
 Calculation of rectifying LTPD and AOQL plans for sampling inspection by
 variables which minimize mean inspection cost per lot of process average
 quality.

Package: r-cran-ltrctrees
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-partykit, r-cran-rpart, r-cran-survival, r-cran-inum, r-cran-icenreg
Suggests: r-cran-formula, r-cran-rpart.plot, r-cran-knitr, r-cran-rmarkdown, r-cran-interval, r-bioc-icens
Filename: pool/dists/focal/main/r-cran-ltrctrees_1.1.2-1.ca2004.1_all.deb
Size: 334464
MD5sum: d2f23094564d129adcdf04f41e3ebef5
SHA1: bf31247185a897c988830326778f17ee985ca4e0
SHA256: 2d248d9867f47db7b9dec798bb33e9dbdca0e5e248c27b8216fb98b60a2260e9
SHA512: 3b307e2349e8afbe0bd3d6107dc250d22e5f402051f7646961174e509861e6408685988c10531f211d508e997ffe46604070bbb24898260cc8f4ec76547dbf50
Homepage: https://cran.r-project.org/package=LTRCtrees
Description: CRAN Package 'LTRCtrees' (Survival Trees to Fit Left-Truncated and Right-Censored andInterval-Censored Survival Data)
 Recursive partition algorithms designed for fitting survival trees with
 left-truncated and right-censored (LTRC) data, as well as interval-censored
 data.  The LTRC trees can also be used to fit survival trees with
 time-varying covariates.

Package: r-cran-ltsbase
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-ltsbase_1.0.1-1.ca2004.1_all.deb
Size: 33488
MD5sum: 8da186087504112d5a31c4115775bd2f
SHA1: ce30216aede3477a74bb003105857bdb37f4d7e7
SHA256: 31661d72c0365f207fa3b5e34a6f6286c44f6e06d582b3a5eea9a500de3dcc03
SHA512: b90d01284e2f942f66806d9f57a55bd3b34ff05f8acde902bb698fcd06417352e3e43df12eef52c1531d1dce337d60b061b0d50152655fc238e5a7cf7115f60c
Homepage: https://cran.r-project.org/package=ltsbase
Description: CRAN Package 'ltsbase' (Ridge and Liu Estimates based on LTS (Least Trimmed Squares)Method)
 This is a new tool to estimate Ridge and Liu estimators based on LTS method
 in multiple linear regression analysis.

Package: r-cran-ltxsparklines
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-zoo
Filename: pool/dists/focal/main/r-cran-ltxsparklines_1.1.3-1.ca2004.1_all.deb
Size: 222388
MD5sum: c464dccb3b7b194faf21fb1d5b5b0fec
SHA1: 73df2a8f58a0ae03d8fc054e02e76f3aa13df37e
SHA256: 0f009ab2c880b03539c381e0856ddad6bcb48e8d687e5c03e5deea84aa0c6763
SHA512: b48d9edeb6f168139be73e0f4af728fbc72b33d8ab181ab62ce3e9c1706e8059fe4ba0dee333b12749b3850120bbbc3a132a6b7cb35e69226f56946d8c6f84e9
Homepage: https://cran.r-project.org/package=ltxsparklines
Description: CRAN Package 'ltxsparklines' (Lightweight Sparklines for a LaTeX Document)
 Sparklines are small plots (about one line of text high), made popular by
 Edward Tufte.  This package is the interface from R to the LaTeX package
 sparklines by Andreas Loeffer and Dan Luecking
 (<http://www.ctan.org/pkg/sparklines>).  It can work with Sweave or knitr or
 other engines that produce TeX.  The package can be used to plot vectors,
 matrices, data frames, time series (in ts or zoo format).

Package: r-cran-lubrilog
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lubrilog_1.3.0-1.ca2004.1_all.deb
Size: 336076
MD5sum: 9e25bc763d7fcef80c63898b239fad95
SHA1: 213062f2b33ddb67e9a08eae387f29b1e9470e1d
SHA256: b01c3c01b32fdbad2c23d9e19eeae6712502927342cb897e6c74db8e082d4449
SHA512: 4f3916108aa1ac562653386803d594336e74d670b3f57e08805413d46c9f9a09ec3882aaae74bb89cf16ced84ace84cb7047d4dd74e97cd805e9be13a9fb98cd
Homepage: https://cran.r-project.org/package=lubrilog
Description: CRAN Package 'lubrilog' (Get Insights on 'lubridate' Operations)
 Provides a set of tools designed to enhance transparency and understanding
 of date-time manipulation functions from the 'lubridate' package.  It
 provides detailed feedback about the operations performed by 'lubridate'
 functions, allowing users to better comprehend and debug their code.  These
 insights serve as both a learning tool for newcomers and a debugging aid for
 programmers working with date-time data.

Package: r-cran-luca
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-genetics
Filename: pool/dists/focal/main/r-cran-luca_1.0-6-1.ca2004.1_all.deb
Size: 74356
MD5sum: 03ca2f8fda99c7c048d54fb0525f2512
SHA1: 160b03afabdab8633eb43d3da6c9f6ff5063a49f
SHA256: 52c1a48b5c62bad8c6e6be98629878b2d065695c650a0951610c31244589c619
SHA512: c813917eb67291552238c8ad10dc50da7840e1e1818a184cf04ee2f4c022fc386543c775b6a6fa18929ccb3681da8b234ba1d8bfd8f4150a84310ad20fe755df
Homepage: https://cran.r-project.org/package=luca
Description: CRAN Package 'luca' (Likelihood Inference from Case-Control Data under CovariateAssumptions)
 Likelihood inference under covariate assumptions (LUCA) in case-control
 studies of a rare disease assuming independence or simple dependence of
 genetic and non-genetic covariates.

Package: r-cran-lucas
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpostgresql, r-cran-rpostgis, r-cran-plyr, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-lucas_1.0-1.ca2004.1_all.deb
Size: 103268
MD5sum: 080cf9006e21f84807b8717fb9d0419a
SHA1: 25e156c1491053539c6b93dca403acf20b3b620c
SHA256: bbeea382442d566d27a61374cf0ade815e87334ecde487f57d634eda24fa555a
SHA512: d735ecc73c68a3799cdb1658a698e9001919c56499f4d0ab48b004cc9350c141e446f8262514a267c61eecf9b629d830f3fba46fc76a8d1db3e7884698262b41
Homepage: https://cran.r-project.org/package=lucas
Description: CRAN Package 'lucas' (Package to Download and Create the DB of LUCAS Data Harmonized)
 Reproduces the harmonized DB of the ESTAT survey of the same name. The
 survey data is served as separate spreadsheets with noticeable differences
 in the collected attributes. The tool here presented carries out a series of
 instructions that harmonize the attributes in terms of name, meaning, and
 occurrence, while also introducing a series of new variables, instrumental
 to adding value to the product. Outputs include one harmonized table with
 all the years, and three separate geometries, corresponding to the
 theoretical point, the gps location where the measurement was made and the
 250m east-facing transect.

Package: r-cran-lucid
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme
Suggests: r-cran-broom, r-cran-dplyr, r-cran-knitr, r-cran-lattice, r-cran-lme4, r-cran-rjags, r-cran-rmarkdown, r-cran-sommer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lucid_1.9-1.ca2004.1_all.deb
Size: 63644
MD5sum: b8f53d07f9cf7ddd19a2e560d4b3d701
SHA1: 264c7c5f302ecd3a913e77326a8a0fa99cb6ad23
SHA256: 25990eff112e89ac89fbc2635902beb73fd5a13ae13723ab0a65d6d9dab29085
SHA512: 74763d210d34fc111e4cf19d538f7f9700c690810f4ebae1e8b179280e8c23522540c489ae02bb10c8208efbcab9eb774d4ac9219e4e2fb60f4941f2cb0fbcf9
Homepage: https://cran.r-project.org/package=lucid
Description: CRAN Package 'lucid' (Printing Floating Point Numbers in a Human-Friendly Format)
 Print vectors (and data frames) of floating point numbers using a
 non-scientific format optimized for human readers.  Vectors of numbers are
 rounded using significant digits, aligned at the decimal point, and all
 zeros trailing the decimal point are dropped.  See: Wright (2016). Lucid: An
 R Package for Pretty-Printing Floating Point Numbers. In JSM Proceedings,
 Statistical Computing Section.  Alexandria, VA: American Statistical
 Association. 2270-2279.

Package: r-cran-lucidus
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mclust, r-cran-nnet, r-cran-boot, r-cran-jsonlite, r-cran-networkd3, r-cran-progress, r-cran-glasso, r-cran-glmnet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lucidus_3.0.3-1.ca2004.1_all.deb
Size: 724704
MD5sum: ed6854a601d62c9a82d13348788b9e75
SHA1: 7387a1c17c96b6f313a9974ed8b607ccf6a436f9
SHA256: 4961cfcab624f03fc90563d042712a2347f0b6d1376e7a74055daa2189b8b7da
SHA512: 32a80a4ff7e91a410094ce3fbe4bec1b39c8ce200bf49f6a880cdd90e5a1a8c1f330b482f0810571f74077131c00e721ba4287382a8b5396b00c4d67ac7a7e1c
Homepage: https://cran.r-project.org/package=LUCIDus
Description: CRAN Package 'LUCIDus' (LUCID with Multiple Omics Data)
 An implementation of estimating the Latent Unknown Clusters By Integrating
 Multi-omics Data (LUCID) model (Peng (2019)
 <doi:10.1093/bioinformatics/btz667>). LUCID conducts integrated clustering
 using exposures, omics information (and outcome information as an option).
 This package implements three different integration strategies for
 multi-omics data analysis within the LUCID framework: LUCID early
 integration (the original LUCID model), LUCID in parallel (intermediate
 integration), and LUCID in serial (late integration). Automated model
 selection for each LUCID model is available to obtain the optimal number of
 latent clusters, and an integrated imputation approach is implemented to
 handle sporadic and list-wise missingness in multi-omics data. Lasso-type
 regularity for exposure and omics features were added. S3 methods for
 summary and plotting functions were fixed. Fixed minor bugs.

Package: r-cran-lue
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-lue_0.2.1-1.ca2004.1_all.deb
Size: 34016
MD5sum: 2d34797e2a5a4f202d24dd345b55a200
SHA1: 92ce442dc5102a825b501bf6c88177f57e018229
SHA256: bb02870193aff67f8e35c6eb2b20ac23533978943e24fdfb3c23c419894625ac
SHA512: 26481ae51e972ec434f974ae425536c37f66c99a72ea1b19c19733ed8abfb9c87aab15ed34af568262717e0df2290cd5ba1675b87fa0e35d322660c6bef506e1
Homepage: https://cran.r-project.org/package=lue
Description: CRAN Package 'lue' (Light Use Efficiency Model to Estimate Biomass and YIELD withand Without Vapour Pressure Deficit)
 Contains LUE_BIOMASS(),LUE_BIOMASS_VPD(), LUE_YIELD() and LUE_YIELD_VPD() to
 estimate aboveground biomass and crop yield firstly by calculating the
 Absorbed Photosynthetically Active Radiation (APAR) and secondly the actual
 values of light use efficiency with and without vapour presure deficit Shi
 et al.(2007) <doi:10.2134/agronj2006.0260>.

Package: r-cran-lulab.utils
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-car, r-cran-descr, r-cran-dplyr, r-cran-httr2, r-cran-magrittr, r-cran-openxlsx, r-cran-purrr, r-cran-rappdirs, r-cran-stringr, r-cran-table1
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lulab.utils_0.0.4-1.ca2004.1_all.deb
Size: 41148
MD5sum: b790c6a0d32f0dea54fab597d3755101
SHA1: 5a642555253ed8a66be1f9a93743d5c13260d70f
SHA256: 986e0e1053fc4de77bdef6d67e6466a5909f39d37e57191db922f5e7b15ddbf0
SHA512: 7867f854b2ca36bdd22c7209b82a4067ab450585bca864320a2a47f03cd36697b13c64033a180e1de0a1749d96293df46bc21f58d0ea6479ecfd3571c427cc30
Homepage: https://cran.r-project.org/package=lulab.utils
Description: CRAN Package 'lulab.utils' (Supporting Functions Maintained by Zhen Lu)
 Miscellaneous functions commonly used by LuLab. This package aims to help
 more researchers on epidemiology to perform data management and
 visualization more efficiently.

Package: r-cran-lumberjack
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-lumberjack_1.3.1-1.ca2004.1_all.deb
Size: 402988
MD5sum: a40602c88a19f83cba612c45f4270cfe
SHA1: 0597973231d442770bc46430b8b7d8ef1aff4577
SHA256: 7692a775c205f29457ea3ddebb217c68378407138db13698954b616692d7bd19
SHA512: b00fcd94f255ec8757ce0947e0bf84aedaeda1ad3a04bb68cffdc3a26648f44ccd8ee42992716d1f64efad2f49afb79d3b8e45d9b2155625caff4ed76a552b12
Homepage: https://cran.r-project.org/package=lumberjack
Description: CRAN Package 'lumberjack' (Track Changes in Data)
 A framework that allows for easy logging of changes in data.  Main features:
 start tracking changes by adding a single line of code to an existing
 script. Track changes in multiple datasets, using multiple loggers. Add
 custom-built loggers or use loggers offered by other packages.
 <doi:10.18637/jss.v098.i01>.

Package: r-cran-lunar
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lunar_0.2-1-1.ca2004.1_all.deb
Size: 45016
MD5sum: 37c97cf089ce5615b4237f400b1577a2
SHA1: d2eb70ae74c9fd72fe795af97fdc919e7ee6b2f9
SHA256: 648be2e8c41e69dd9d0958332180f7b3d6178c73030642c5f8eb98fcc8803921
SHA512: 7ffbf00d922c230c7eac5cbda04bb014726c3607a59e4e07c27e0ef79e5781945f633d07c790f73ea44b2b0ceaea36fefbfdb911b89a411101b8626dfdeca7cd
Homepage: https://cran.r-project.org/package=lunar
Description: CRAN Package 'lunar' (Calculate Lunar Phase & Distance, Seasons and RelatedEnvironmental Factors)
 Provides functions to calculate lunar and other related environmental
 covariates.

Package: r-cran-luz
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-torch, r-cran-magrittr, r-cran-zeallot, r-cran-rlang, r-cran-coro, r-cran-glue, r-cran-progress, r-cran-r6, r-cran-generics, r-cran-purrr, r-cran-ellipsis, r-cran-fs, r-cran-prettyunits, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-metrics, r-cran-withr, r-cran-vdiffr, r-cran-ggplot2, r-cran-dplyr, r-cran-torchvision, r-cran-tfevents, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-luz_0.4.0-1.ca2004.1_all.deb
Size: 689984
MD5sum: 836fbaea7028ccbb16f8f51ca1ea1c5a
SHA1: 5ba5b0cd79692244fa37c38e65f7b23b3f68b459
SHA256: a5a5c3564e6f4cc647d139ae64b66d49c61d62f97c13ecb185338455f887e2d7
SHA512: 5957ce2cd9d9fbfac64843d1f84b0685ac9f078c09ca0fceaa83888cd2da0dcda402c9f7ebe0cac4960441d3b75b95119cf18c7fc93920c2d6571e7e812f33d6
Homepage: https://cran.r-project.org/package=luz
Description: CRAN Package 'luz' (Higher Level 'API' for 'torch')
 A high level interface for 'torch' providing utilities to reduce the the
 amount of code needed for common tasks, abstract away torch details and make
 the same code work on both the 'CPU' and 'GPU'. It's flexible enough to
 support expressing a large range of models. It's heavily inspired by
 'fastai' by Howard et al. (2020) <arXiv:2002.04688>, 'Keras' by Chollet et
 al. (2015) and 'PyTorch Lightning' by Falcon et al. (2019)
 <doi:10.5281/zenodo.3828935>.

Package: r-cran-luzlogr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-luzlogr_0.2.1-1.ca2004.1_all.deb
Size: 39448
MD5sum: c931315e8b4d72915c3b5899ef21c9e7
SHA1: 8b42098d8e68b4edc6bcfbc31edd47f62bf58346
SHA256: b96fa93928cd9072a48ed901f40691cf28fc8294110d3d101a794dc4d4129415
SHA512: ce206884587f2f907e0b66a0066fb6cc669afec94ce7a4be0e79a3498384e5c42ff63a5375457a89dc4e505f211102b2c8ccb5e18ecdbe2372f47dee4a6d1d5b
Homepage: https://cran.r-project.org/package=luzlogr
Description: CRAN Package 'luzlogr' (Lightweight Logging for R Scripts)
 Provides flexible but lightweight logging facilities for R scripts.
 Supports priority levels for logs and messages, flagging messages, capturing
 script output, switching logs, and logging to files or connections.

Package: r-cran-lvgp
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-lvgp_2.1.5-1.ca2004.1_all.deb
Size: 62096
MD5sum: 2bab97ed368b6988057195e7d23cc6ce
SHA1: 06340791045f1dd190e03a246825bfb280cbd64b
SHA256: c292215f826eafc52c3598e0e0df62ecd7dbba10584b007a304651a370d4e87a
SHA512: 9d9d12ade46b6b2d2ff688a92c29eb4d84c6936eb7a631020a498bcf23223d9ef822cd1a285b3d77ebc2082d6b0b528923024b32e3100bbc155fe9852b6b0d54
Homepage: https://cran.r-project.org/package=LVGP
Description: CRAN Package 'LVGP' (Latent Variable Gaussian Process Modeling with Qualitative andQuantitative Input Variables)
 Fit response surfaces for datasets with latent-variable Gaussian process
 modeling, predict responses for new inputs, and plot latent variables
 locations in the latent space (only 1D or 2D).  The input variables of the
 datasets can be quantitative, qualitative/categorical or mixed.  The output
 variable of the datasets is a scalar (quantitative).  The optimization of
 the likelihood function is done using a successive approximation/relaxation
 algorithm similar to another GP modeling package "GPM".  The modeling method
 is published in "A Latent Variable Approach to Gaussian Process Modeling
 with Qualitative and Quantitative Factors" by Yichi Zhang, Siyu Tao, Wei
 Chen, and Daniel W. Apley (2018) <arXiv:1806.07504>. The package is
 developed in IDEAL of Northwestern University.

Package: r-cran-lvm4net
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ergm, r-cran-network, r-cran-igraph, r-cran-ellipse, r-cran-glmmml, r-cran-mvtnorm, r-cran-corpcor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-manet, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-lvm4net_0.3-1.ca2004.1_all.deb
Size: 343036
MD5sum: ee2fbea276fec62744dd0af7048afd16
SHA1: efe9f9d50beb771d43d5bbd0626ba6cf4d7b9794
SHA256: 5ead15a58da7de9f3c0e4263c531b77ff867b01c9a39be40eabe4e2c6315114c
SHA512: dfbaf1713767d04e62474f99187a15b3054ed764cf9859ceef746d88ea0e6ed0cde868451180992d635738b81b0211de8dd809740e6df6e1af07b13d305961c0
Homepage: https://cran.r-project.org/package=lvm4net
Description: CRAN Package 'lvm4net' (Latent Variable Models for Networks)
 Latent variable models for network data using fast inferential procedures.
 For more information please visit: <http://igollini.github.io/lvm4net/>.

Package: r-cran-lvmisc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 637
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-devtools, r-cran-forcats, r-cran-fs, r-cran-git2r, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-lvmisc_0.1.2-1.ca2004.1_all.deb
Size: 489032
MD5sum: 1a8abbca0ed50af89d1bcdbb927d3116
SHA1: 9cf08507b7ea11bab7862d4f9f6eb2db1a7fc811
SHA256: 584ac62bc8d89371cf384b4c0564fa14836286731c8c42f0b96dafb910048dce
SHA512: 468543e480b85eddb4e38d704f17cdfdc15071dfdc22f16a994cf43a010686460cf41ba8df8a87917fb71a3ef0f5de7ec8ea7cf91ddc0126bcaf486b4c5c9687
Homepage: https://cran.r-project.org/package=lvmisc
Description: CRAN Package 'lvmisc' (Veras Miscellaneous)
 Contains a collection of useful functions for basic data computation and
 manipulation, wrapper functions for generating 'ggplot2' graphics, including
 statistical model diagnostic plots, methods for computing statistical models
 quality measures (such as AIC, BIC, r squared, root mean squared error) and
 general utilities.

Package: r-cran-lvnet
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openmx, r-cran-glasso, r-cran-qgraph, r-cran-matrix, r-cran-psych, r-cran-mvtnorm, r-cran-corpcor, r-cran-dplyr, r-cran-lavaan, r-cran-semplot
Filename: pool/dists/focal/main/r-cran-lvnet_0.3.5-1.ca2004.1_all.deb
Size: 150872
MD5sum: 86455dbfc3b41f5bb76f0895dc7575d6
SHA1: bb1b16a8305746cf0dafd906d441c941be577821
SHA256: 488cfd27c470996c14db94730c03922d4dabc26403e40bf3526bf04eb4d266ed
SHA512: 0a8f31996c0fa5d659b7642d73b3ddd848cd1fc1e3d2f78e5e0168bcb294cccb978cfc25c6af1c2e1278bab6046b1bb7c25fff3cfbd2d8ea3a80186e328c082b
Homepage: https://cran.r-project.org/package=lvnet
Description: CRAN Package 'lvnet' (Latent Variable Network Modeling)
 Estimate, fit and compare Structural Equation Models (SEM) and network
 models (Gaussian Graphical Models; GGM) using OpenMx. Allows for two
 possible generalizations to include GGMs in SEM: GGMs can be used between
 latent variables (latent network modeling; LNM) or between residuals
 (residual network modeling; RNM). For details, see Epskamp, Rhemtulla and
 Borsboom (2017) <doi:10.1007/s11336-017-9557-x>.

Package: r-cran-lvplot
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3806
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-tibble
Suggests: r-cran-depth
Filename: pool/dists/focal/main/r-cran-lvplot_0.2.1-1.ca2004.1_all.deb
Size: 3862208
MD5sum: 6712baf38aadaf3f5c23d2e4939e507d
SHA1: 7e99118f29cb49c5ad911fbcb3e092a3d8ede659
SHA256: 037bde27de29b60372947fce156c087ca1757778cd3cb97c75404d0a65800239
SHA512: 51a5201f9576490863b4e4faf5248e6aaf5037ffaa60544631a375e9bdf3fabacf03bb89be454eee5045ce80f7d9eb85fd3da46f6a79009954711571b4361cae
Homepage: https://cran.r-project.org/package=lvplot
Description: CRAN Package 'lvplot' (Letter Value 'Boxplots')
 Implements the letter value 'boxplot' which extends the standard 'boxplot'
 to deal with both larger and smaller number of data points by dynamically
 selecting the appropriate number of letter values to display.

Package: r-cran-lw1949
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mgcv, r-cran-plotrix
Suggests: r-cran-magrittr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lw1949_1.1.0-1.ca2004.1_all.deb
Size: 165832
MD5sum: dfb9413f5c4452b7555e3749864dcc46
SHA1: e5ef819a82fedf7b27af33e1b15ac0d28ae60ce2
SHA256: 26f7bc682b5b3b963f6bf26adeecb6a7ebea61be9d553be0e9b943af65e04d4e
SHA512: e46f3c9f3042204b8a41ce9928a3611540775bdb566311161e930e4ea9678658f864f39f84fbf7410e2558370e3a873ab10c3d89f7302dfe23ce43cbddb34617
Homepage: https://cran.r-project.org/package=LW1949
Description: CRAN Package 'LW1949' (An Automated Approach to Evaluating Dose-Effect ExperimentsFollowing Litchfield and Wilcoxon (1949))
 The manual approach of Litchfield and Wilcoxon (1949)
 <http://jpet.aspetjournals.org/content/96/2/99.abstract> for evaluating
 dose-effect experiments is automated so that the computer can do the work.

Package: r-cran-lwc2022
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-lwc2022_1.0.0-1.ca2004.1_all.deb
Size: 43556
MD5sum: 5fbf00926fbae572a64dde8ec9fcd5a1
SHA1: 4f7788346c333f2b34eae85f02b994a22444636c
SHA256: 8c2fe822ee3f33805bf2c12ad505af80477baf24311e9266e871d1545b6cde4d
SHA512: 2f8b00d794e14e4d1a87f14bb2d6a3d5dd29435783566e39a741229630a2785371c5f5d15b13c050d41ca2ed42ae226e05cecd2addeafcd3b3e9fe7c918edc0d
Homepage: https://cran.r-project.org/package=lwc2022
Description: CRAN Package 'lwc2022' (Langa-Weir Classification of Cognitive Function for 2022 HRSData)
 Generates the Langa-Weir classification of cognitive function for the 2022
 Health and Retirement Study (HRS) cognition data. It is particularly useful
 for researchers studying cognitive aging who wish to work with the most
 recent release of HRS data. The package provides user-friendly functions for
 data preprocessing, scoring, and classification allowing users to easily
 apply the Langa-Weir classification system.  For details regarding the; HRS
 <https://hrsdata.isr.umich.edu/> and Langa-Weir classifications
 <https://hrsdata.isr.umich.edu/data-products/langa-weir-classification-cognitive-function-1995-2020>.

Package: r-cran-lwqs
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-plyr, r-cran-gridextra, r-cran-gwqs, r-cran-gamm4
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-lwqs_0.5.0-1.ca2004.1_all.deb
Size: 151332
MD5sum: 0af9a3d23a937cb2b9fa4c9d207d212d
SHA1: aa14db041797f5853f79fb56935fc5f06bf08dd8
SHA256: e0402e267234d6a8074b53d952920ff24f5bcc53abb1ac5c3a0f7dc628f677b3
SHA512: b9289e9d3a20bad4cf94109a8e05c99a37d93f711112748bb316a7fec49fbca3d62e185220649b1aca55843dfffd98aeedfe1f268dad6e717b7f3f2b86ce05fa
Homepage: https://cran.r-project.org/package=lwqs
Description: CRAN Package 'lwqs' (Lagged Weighted Quantile Sum Regression)
 Wrapper functions for the implementation of lagged weighted quantile sum
 regression, as per 'Gennings et al' (2020)
 <doi:10.1016/j.envres.2020.109529>.

Package: r-cran-lymphclon
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-expm, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-lymphclon_1.3.0-1.ca2004.1_all.deb
Size: 39300
MD5sum: ce740e1a4740caf1bdaa8e820290e01b
SHA1: 45cf95f5d09235ba93b999f7fe438013781059bb
SHA256: d8b0dc69069a9ae94413da46227ebdc989a93a13a1d437420d7b8598546495fc
SHA512: 2dc01302f1b6b4c48083455e46be1a782974ad8143be18760f57cacc45e1d51155f4c5e398c92dca7fb7a4ba3d3a59271eb36e9d0ecad1b709abe655daa1c5fa
Homepage: https://cran.r-project.org/package=lymphclon
Description: CRAN Package 'lymphclon' (Accurate Estimation of Clonal Coincidences and Abundances fromBiological Replicates)
 We provide a clonality score estimator that takes full advantage of the
 multi-biological-replicate structure of modern sequencing experiments; it
 specifically takes into account the reality that, typically, the clonal
 coverage is well below 0.1%.

Package: r-cran-lzerospikeinference
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-lzerospikeinference_1.0.3-1.ca2004.1_all.deb
Size: 62728
MD5sum: df1e2c415eeeea148e830a85770fbdc1
SHA1: d03a6304fcc14671b1fa48b4e3084bd2c94a6080
SHA256: 3b19a36851e81da0ebd7b46f4eab2401ae15fa113a6c9ca89ee720555135b240
SHA512: 00666d4567c1d751874a8833a06f6972d675f36a7f1db19f6e075b2aaeffb247e4eb5673012e481d3458066caddb93addf287c757622689b054435bf18f3402b
Homepage: https://cran.r-project.org/package=LZeroSpikeInference
Description: CRAN Package 'LZeroSpikeInference' (Exact Spike Train Inference via L0 Optimization)
 An implementation of algorithms described in Jewell and Witten (2017)
 <arXiv:1703.08644>.

Package: r-cran-m2b
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-geosphere, r-cran-catools, r-cran-ggplot2, r-cran-randomforest, r-cran-caret
Suggests: r-cran-adehabitatlt, r-cran-movehmm, r-cran-knitr, r-cran-diagrammer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-m2b_1.1.0-1.ca2004.1_all.deb
Size: 383116
MD5sum: 3c50bb8c7c540832d536b49a8dacec96
SHA1: 7e65f4e53423427606c2f19de8caa0f1eb027279
SHA256: 84f0b0bf46f0ea305194288a67f2de7804885970d24898801eae3bfe6a45b5aa
SHA512: af5ef1c766d941575025607abc8325e9d933813752387ef048ed74f9818f7f93e5c73c917deb8dec02990d690b4a35e61ff7eda261b4e7156c8b5733e7ad7302
Homepage: https://cran.r-project.org/package=m2b
Description: CRAN Package 'm2b' (Movement to Behaviour Inference using Random Forest)
 Prediction of behaviour from movement characteristics using observation and
 random forest for the analyses of movement data in ecology.  From movement
 information (speed, bearing...) the model predicts the observed behaviour
 (movement, foraging...) using random forest. The model can then extrapolate
 behavioural information to movement data without direct observation of
 behaviours.  The specificity of this method relies on the derivation of
 multiple predictor variables from the movement data over a range of temporal
 windows. This procedure allows to capture as much information as possible on
 the changes and variations of movement and ensures the use of the random
 forest algorithm to its best capacity. The method is very generic,
 applicable to any set of data providing movement data together with
 observation of behaviour.

Package: r-cran-m2smf
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-m2smf_2.0-1.ca2004.1_all.deb
Size: 58904
MD5sum: e8cd982883f18505870290445d8b200b
SHA1: d30c88b4823f7a65e97a181e472bd611e4394fd0
SHA256: dbcdc5d7b97b643296011d6704569d9533a8b7f7ddb996965ed9a48c08d7440c
SHA512: 6719224b7b712a5270895a0e54e57a4667251ddb2d8dece5e6ff8e8297bf95b90ae48df44afab695257ad93c6fc0cea5bd413ae18e8877fb722c483edcc874d0
Homepage: https://cran.r-project.org/package=M2SMF
Description: CRAN Package 'M2SMF' (Multi-Modal Similarity Matrix Factorization for IntegrativeMulti-Omics Data Analysis)
 A new method to implement clustering from multiple modality data of certain
 samples, the function M2SMF() jointly factorizes multiple similarity
 matrices into a shared sub-matrix and several modality private sub-matrices,
 which is further used for clustering. Along with this method, we also
 provide function to calculate the similarity matrix and function to evaluate
 the best cluster number from the original data.

Package: r-cran-m2smjf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-m2smjf_1.0-1.ca2004.1_all.deb
Size: 59816
MD5sum: 64bed4e3a3d038170d0661eff27f14e5
SHA1: a55b96688dc8a40071e20cb5c1a637c2f8e5e78b
SHA256: 6b45290edd01c4980ec0790ce997c5ff9b751a03150cc92420ea185ab04f1771
SHA512: 9c3b761286ca980269d4c4c1057bc9eade33fa53e80cff8e470319f5c9e65bdb4ea8fe2f937bd1aeb343590fc60e24d0da252b9a3b282a4e999cb02092541082
Homepage: https://cran.r-project.org/package=M2SMJF
Description: CRAN Package 'M2SMJF' (Multi-Modal Similarity Matrix Joint Factorization)
 A new method to implement clustering from multiple modality data of certain
 samples, the function M2SMjF() jointly factorizes multiple similarity
 matrices into a shared sub-matrix and several modality private sub-matrices,
 which is further used for clustering. Along with this method, we also
 provide function to calculate the similarity matrix and function to evaluate
 the best cluster number from the original data.

Package: r-cran-m3
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2243
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncdf4, r-cran-sf, r-cran-maps, r-cran-mapdata
Filename: pool/dists/focal/main/r-cran-m3_0.4-1.ca2004.1_all.deb
Size: 1961788
MD5sum: 9efdb56c827ae9b504e3c31c2c8a7187
SHA1: aca098f9dae8b1d5a37aec782811586dfd11eaf0
SHA256: 49517449ff51fc7b19a6cbdcf512d9fa84d2140094b5620937d0fc6465efb5bd
SHA512: b8aadd7caae5f0898fc855db86a743ef08a921515a6d16e1cf426fec3a7465dc3dc8f0808e7c1ca35666c5228c1cc275f8de70627947a355e2e4b352a7d61698
Homepage: https://cran.r-project.org/package=M3
Description: CRAN Package 'M3' (Reading M3 Files)
 Provides functions to read in and manipulate air quality model output from
 Models3-formatted files.  This format is used by the Community Multiscale
 Air Quality (CMAQ) model.

Package: r-cran-m3jf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-snftool, r-cran-dplyr, r-cran-intersim
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-m3jf_0.1.0-1.ca2004.1_all.deb
Size: 84676
MD5sum: e0a8c1ff685ee16a1f934f356002489e
SHA1: abe28a31f3cc8567a2dad2c00bcb86e7c9aa4f78
SHA256: 7cc2d23512274bc6806e4ea1752b661f1095f4564d7578bb0109b0a8457ff344
SHA512: dbb15fc053e9c5e931d628e5840f660e79c951bc4f592e8470ba00fc945a9471cfbf70bb39da2840964e6c1b656cd82d00c1970e22353ce82ad56792a1d25dcf
Homepage: https://cran.r-project.org/package=M3JF
Description: CRAN Package 'M3JF' (Multi-Modal Matrix Joint Factorization for IntegrativeMulti-Omics Data Analysis)
 Multi modality data matrices are factorized conjointly into the
 multiplication of a shared sub-matrix and multiple modality specific
 sub-matrices, group sparse constraint is applied to the shared sub-matrix to
 capture the homogeneous and heterogeneous information, respectively. Then
 the samples are classified by clustering the shared sub-matrix with
 kmeanspp(), a new version of kmeans() developed here to obtain concordant
 results. The package also provides the cluster number estimation by rotation
 cost. Moreover, cluster specific features could be retrieved using
 hypergeometric tests.

Package: r-cran-m5
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2779
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-stringi, r-cran-lubridate
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-zeallot
Filename: pool/dists/focal/main/r-cran-m5_0.1.1-1.ca2004.1_all.deb
Size: 1341892
MD5sum: 58b00a6cf9b206a74fbf49fe00fd45fa
SHA1: 36092727b1aae6541c687cce842828f1d200542f
SHA256: dbaf09a11e0dc4f6b3c1003dd970d7a4fdf44adc0afb6efbb84a7ce8fe947ae2
SHA512: 92fb9e3eca980591019bd603a378f8a76af417fec82274037d9337817614529fa1848664addae563ac7338946fd315c2330fc5976e41618b624856fb7878b3ab
Homepage: https://cran.r-project.org/package=m5
Description: CRAN Package 'm5' ('M5 Forecasting' Challenges Data)
 Contains functions, which facilitate downloading, loading and preparing data
 from 'M5 Forecasting' challenges (by 'University of Nicosia', hosted on
 'Kaggle').  The data itself is set of time series of different product sales
 in 'Walmart'.  The package also includes a ready-to-use built-in M5 subset
 named 'tiny_m5'.  For detailed information about the challenges, see:
 Makridakis, S. & Spiliotis, E. & Assimakopoulos, V. (2020).
 <doi:10.1016/j.ijforecast.2021.10.009>.

Package: r-cran-m61r
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-m61r_0.0.3-1.ca2004.1_all.deb
Size: 156276
MD5sum: 3dbddcaf30ebb9c00537eaa97c8b6ed8
SHA1: 848f3262f60515668fffe0d380c8ef4b95e77dce
SHA256: 5263815c964354ea9ac88789ae6a378cf9d795f084aae592b1255edbc4f89e37
SHA512: 3b6c0c0c73be34fc3ef2d3a9b66de2398c8e4903fa55729a9d3770211ab5dcc4b8ec063c3f6679ede2001fc722a02e81e7b76f9414195596889cdd5b844fa482
Homepage: https://cran.r-project.org/package=m61r
Description: CRAN Package 'm61r' (Package About Data Manipulation in Pure Base R)
 Data manipulation in one package and in base R.  Minimal. No dependencies.
 'dplyr' and 'tidyr'-like in one place.  Nothing else than base R to build
 the package.

Package: r-cran-maaper
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-genomicranges, r-bioc-genomicalignments, r-bioc-genomicfeatures, r-bioc-genomeinfodb, r-bioc-rsamtools, r-bioc-iranges, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maaper_1.1.1-1.ca2004.1_all.deb
Size: 208312
MD5sum: b86dd01898e9d6e7202f18c4b2cf4695
SHA1: f1ddf4dcaea66478a42eda9b7347f5e42bfb8b53
SHA256: 9f6bf326781564696fa7e5b982bf84a93adce9aedb1a6d2385b0b2a56cfe0de3
SHA512: b3d57bb2f5111f66c1a497aba22762835300df68eaa388aad42032df31a5b1233e84542e81277ea2ef6f5ca37acfc867f9f487dd8fdb45a3be82b4f4111815ad
Homepage: https://cran.r-project.org/package=MAAPER
Description: CRAN Package 'MAAPER' (Analysis of Alternative Polyadenylation Using 3' End-LinkedReads)
 A computational method developed for model-based analysis of alternative
 polyadenylation (APA) using 3' end-linked reads. It accurately assigns 3'
 RNA-seq reads to polyA sites through statistical modeling, and generates
 multiple statistics for APA analysis. Please also see Li WV, Zheng D, Wang
 R, Tian B (2021) <doi:10.1186/s13059-021-02429-5>.

Package: r-cran-maat
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3377
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-testdesign, r-cran-readxl, r-cran-mass, r-cran-diagram
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-maat_1.1.0-1.ca2004.1_all.deb
Size: 1648456
MD5sum: 0f93e9347e4d6d8b054638fff28927fa
SHA1: 6849a44b9164ac05f12aa86269d5760a78c59c86
SHA256: 17cbaf66ba73f84bad8c376a3970a352c6306ca3d842b843108f8affbba9a8aa
SHA512: f2cc21fa257a3761df2bc18c4f36baf6c648c5e9f4250e8e8c2060481281cacf9e4ed7798d64d0f3ee4ae7dc807455bf8405020a237e361416c18dada156964d
Homepage: https://cran.r-project.org/package=maat
Description: CRAN Package 'maat' (Multiple Administrations Adaptive Testing)
 Provides an extension of the shadow-test approach to computerized adaptive
 testing (CAT) implemented in the 'TestDesign' package for the assessment
 framework involving multiple tests administered periodically throughout the
 year. This framework is referred to as the Multiple Administrations Adaptive
 Testing (MAAT) and supports multiple item pools vertically scaled and
 multiple phases (stages) of CAT within each test.  Between phases and tests,
 transitioning from one item pool (and associated constraints) to another is
 allowed as deemed necessary to enhance the quality of measurement.

Package: r-cran-mabacr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mabacr_0.1.0-1.ca2004.1_all.deb
Size: 24556
MD5sum: ef09e0cd91ea77a2a6aeb9952925b3ec
SHA1: c63766bd78ee287dfa6da140af532fad207ab156
SHA256: db0bc29e65461f7b7149d44b89d398299f49bf5839f3188cd4bf29c1306e8d25
SHA512: 63a60ddf2642474b223b8a91fba7fefb852621ecd3c36dc34330791921718433ac3544dca26fa089b639a30b4ce784f9ee940aa7dba44725e414c6c8d3e974ad
Homepage: https://cran.r-project.org/package=mabacR
Description: CRAN Package 'mabacR' (Assisting Decision Makers)
 Easy implementation of the MABAC multi-criteria decision method, that was
 introduced by Pamučar and Ćirović in the work entitled: "The selection of
 transport and handling resources in logistics centers using
 Multi-Attributive Border Approximation area Comparison (MABAC)" -
 <doi:10.1016/j.eswa.2014.11.057> - which aimed to choose implements for
 logistics centers. This package receives data, preferably in a spreadsheet,
 reads it and applies the mathematical algorithms inherent to the MABAC
 method to generate a ranking with the optimal solution according to the
 established criteria, weights and type of criteria. The data will be
 normalized, weighted by the weights, the border area will be determined, the
 distances to this border area will be calculated and finally a ranking with
 the optimal option will be generated.

Package: r-cran-maboost
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-c50
Filename: pool/dists/focal/main/r-cran-maboost_1.0-0-1.ca2004.1_all.deb
Size: 90232
MD5sum: e6e7c207c4a1dae0fff4169ac1410dcb
SHA1: 249bd2e4334030845f1aa66d4446455b9478fd1f
SHA256: aca2e896675aba2bb8e408affbe053a32e5f98c8dfd051842e253b736f01e4c6
SHA512: 411b8251ef6c173bb447894d3af51b59fb68df4a6825bdae3bb89b82106b05f4f5bb8b6739c8878797cd3859d0efb636c934350671f5b67a3a5a1db0731ed355
Homepage: https://cran.r-project.org/package=maboost
Description: CRAN Package 'maboost' (Binary and Multiclass Boosting Algorithms)
 Performs binary and multiclass boosting in maximum-margin, sparse, smooth
 and normal settings as described in "A Boosting Framework on Grounds of
 Online Learning" by T. Naghibi and B. Pfister, (2014).  For further
 information regarding the algorithms, please refer to
 http://arxiv.org/abs/1409.7202

Package: r-cran-macbehaviour
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-httr, r-cran-dplyr, r-cran-rjson
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-macbehaviour_1.2.8-1.ca2004.1_all.deb
Size: 80644
MD5sum: 89ed4c67b442493fb79962ed276c0dac
SHA1: 9cd191b82b692c1ddb92c15366973c84981fa7ff
SHA256: 1d25a41e2a73770177f44eb39eec1d9371d6595619f86cfc3fdba50e7db875ed
SHA512: d9a5d33426e429d14d928619315ded7df4934eb845fcb1c5cc0d37ffafdfc53dd5da8f9f9aece2f603a852c0ed102398cee93b70ce0da873c8f3c757d4ba4ae8
Homepage: https://cran.r-project.org/package=MacBehaviour
Description: CRAN Package 'MacBehaviour' (Behavioural Studies of Large Language Models)
 Efficient way to design and conduct psychological experiments for testing
 the performance of large language models. It simplifies the process of
 setting up experiments and data collection via language models’ API,
 facilitating a smooth workflow for researchers in the field of machine
 behaviour.

Package: r-cran-macc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-nlme, r-cran-optimx, r-cran-mass, r-cran-car
Filename: pool/dists/focal/main/r-cran-macc_1.0.1-1.ca2004.1_all.deb
Size: 583128
MD5sum: aac06976663d4fe2584c51c69a9a90fc
SHA1: 93bfdaf23652bf2950b06990fbad27456b123450
SHA256: cc1f37941c6f2cdf60341e5d7d48a887e4b04114d691e672d8aaf4db66da2532
SHA512: 8711bc5a08ef7bd9740e908ab0c5c37fec94a84f477373ff858088ce1c049fe42c16ca9ee744cbd4644663f39cb97a5c096220ae993f20eb71ec674b104b23c7
Homepage: https://cran.r-project.org/package=macc
Description: CRAN Package 'macc' (Mediation Analysis of Causality under Confounding)
 Performs causal mediation analysis under confounding or correlated errors.
 This package includes a single level mediation model, a two-level mediation
 model, and a three-level mediation model for data with hierarchical
 structures. Under the two/three-level mediation model, the correlation
 parameter is identifiable and is estimated based on a
 hierarchical-likelihood, a marginal-likelihood or a two-stage method. See
 Zhao, Y., & Luo, X. (2014), Estimating Mediation Effects under Correlated
 Errors with an Application to fMRI, <arXiv:1410.7217> for details.

Package: r-cran-macer
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rentrez, r-cran-ape, r-cran-httr, r-cran-ggplot2, r-cran-pbapply, r-cran-png
Filename: pool/dists/focal/main/r-cran-macer_0.2.1-1.ca2004.1_all.deb
Size: 94968
MD5sum: fb78d5d11be49ded066c42c10a13ac7a
SHA1: f15290410dec1bf2405b5ac45ed755a4578b00ad
SHA256: 2f9f774c5d1b730252ba10a1919b11e6f4c07a5d6398b3926cfa964da9c2e2b7
SHA512: 0a0789ac1d37ba7ef941609ffd6f166ae71a419c755639a8086bcbafb3dfd7912c1d151f69a31f36a21fe0523418d831e302816109e629b1064933f16c2c27ee
Homepage: https://cran.r-project.org/package=MACER
Description: CRAN Package 'MACER' (Molecular Acquisition, Cleaning, and Evaluation in R 'MACER')
 To assist biological researchers in assembling taxonomically and marker
 focused molecular sequence data sets. 'MACER' accepts a list of genera as a
 user input and uses NCBI-GenBank and BOLD as resources to download and
 assemble molecular sequence datasets. These datasets are then assembled by
 marker, aligned, trimmed, and cleaned. The use of this package allows the
 publication of specific parameters to ensure reproducibility. The 'MACER'
 package has four core functions and an example run through using all of
 these functions can be found in the associated repository
 <https://github.com/rgyoung6/MACER_example>.

Package: r-cran-macleish
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2293
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-etl, r-cran-dplyr, r-cran-lubridate, r-cran-phenocamr, r-cran-readr, r-cran-rvest, r-cran-sf, r-cran-stringr, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-dbplyr, r-cran-rsqlite, r-cran-broom, r-cran-knitr, r-cran-leaflet, r-cran-purrr, r-cran-rmarkdown, r-cran-markdown, r-cran-mgcv, r-cran-clifro, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-macleish_0.3.9-1.ca2004.1_all.deb
Size: 1963500
MD5sum: bdce39675516dde6ce6c506df9107054
SHA1: 19c3bb422a201620de1281cf1328a4a2cf842762
SHA256: 29d5df9bd57a90acff6dc0eaa9d36f7f0a30fe1db031a195fea19fa85a1255f5
SHA512: 06f4dd573ccebb4b791fd3f85498f9aeab75112f3db67a2f8188bb058b3ca369bd28eee4b10daf9501ea924191b9b3c4dec8903ed2f32d736626ab0f91dd248c
Homepage: https://cran.r-project.org/package=macleish
Description: CRAN Package 'macleish' (Retrieve Data from MacLeish Field Station)
 Download data from the Ada and Archibald MacLeish Field Station in Whately,
 MA. The Ada and Archibald MacLeish Field Station is a 260-acre patchwork of
 forest and farmland located in West Whately, MA that provides opportunities
 for faculty and students to pursue environmental research, outdoor
 education, and low-impact recreation (see
 <https://www.smith.edu/about-smith/sustainable-smith/macleish> for more
 information).  This package contains weather data over several years, and
 spatial data on various man-made and natural structures.

Package: r-cran-maclinical
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-party, r-cran-plsgenomics, r-cran-st, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-maclinical_1.0-5-1.ca2004.1_all.deb
Size: 94076
MD5sum: 0d504ab815b1f78c0ac594ead826ebe7
SHA1: 30b7d8b768bee7427c2b82b9527002466986e81f
SHA256: aec57b3529d655beb77549123e91e09384f79c350ea16c799001c0e3acd211cc
SHA512: 2b475a5ec385d8daf2fb4b21ea38cb5846aa4a750126b3208a4c184e20e1e9ab9513aee58afc3eda17b8e1c3853e00820dc902a2c3875127203c7f73de7793bf
Homepage: https://cran.r-project.org/package=MAclinical
Description: CRAN Package 'MAclinical' (Class prediction based on microarray data and clinicalparameters)
 'Maclinical' implements class prediction using both microarray data and
 clinical parameters. It addresses the question of the additional predictive
 value of microarray data.  Class prediction is performed using a two-step
 method combining (pre-validated) PLS dimension reduction and random forests.

Package: r-cran-maclogp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bma, r-cran-plot.matrix, r-cran-rlist
Filename: pool/dists/focal/main/r-cran-maclogp_0.1.1-1.ca2004.1_all.deb
Size: 81116
MD5sum: 448ad20e2f27aaea4d103c6d0d153ae5
SHA1: cf7f2c061084dcaa9151e65363e12e91e7611fa5
SHA256: e87c2d83813845653e3578dabf36febda1ad9f40b3265f8f0a0a7af87037fab3
SHA512: 136c24ae8c69a48f132ccdf8c96429cbf7b89921d5a52f39360abd52535b78eba1a175c85953bb998a8b8dbb9a887c8b0c1902d6a5bcc392f99bd443557e3f5a
Homepage: https://cran.r-project.org/package=maclogp
Description: CRAN Package 'maclogp' (Measures of Uncertainty for Model Selection)
 Following the common types of measures of uncertainty for parameter
 estimation, two measures of uncertainty were proposed for model selection,
 see Liu, Li and Jiang (2020) <doi:10.1007/s11749-020-00737-9>. The first
 measure is a kind of model confidence set that relates to the variation of
 model selection, called Mac. The second measure focuses on error of model
 selection, called LogP. They are all computed via bootstrapping. This
 package provides functions to compute these two measures. Furthermore, a
 similar model confidence set adapted from Bayesian Model Averaging can also
 be computed using this package.

Package: r-cran-macp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2159
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-zoo, r-cran-dplyr, r-cran-lsa, r-cran-wgcna, r-cran-tidyr, r-cran-tibble, r-cran-hmisc, r-cran-igraph, r-cran-prroc, r-cran-proc, r-cran-ggplot2, r-cran-fmsb, r-cran-stringr, r-cran-caret
Suggests: r-cran-knitr, r-cran-ptw, r-cran-e1071, r-cran-kernlab, r-cran-ranger, r-cran-proxy, r-cran-infotheo, r-cran-gridextra, r-cran-philentropy, r-cran-randomforest, r-cran-gprofiler2, r-cran-purrr, r-bioc-minet, r-cran-entropy, r-cran-mcl, r-bioc-orthogene, r-cran-protti, r-cran-arules, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-macp_0.1.0-1.ca2004.1_all.deb
Size: 1039176
MD5sum: d5bbf2c7af5999eb0e89e2245b4daa80
SHA1: 51f84b4b7158e5fa8a8fd0277652361f39cbabbb
SHA256: 77c62326f7fd3113638da25cce054bb3a47743643a1214eb31f9b98c9e4ff6fc
SHA512: 36fd38458d088630e8430de87562147b96e37a7e536197bf7964f571b8de9673d1eba139bb8b2d6a3ead122522f4673bb8e83c8750f388449822835bc06f51fb
Homepage: https://cran.r-project.org/package=MACP
Description: CRAN Package 'MACP' (Macromolecular Assemblies from Co-Elution Profile (MACP))
 The MACP employs machine learning algorithm for automated scoring of
 co-fractionation mass spectrometry (CF-MS) and then systematically map
 multi-protein complexes from these high-confidence protein-protein
 interactions (PPIs) using unsupervised learning (i.e., clustering).

Package: r-cran-macrobiome
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1276
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-devtools, r-cran-palinsol, r-cran-raster, r-cran-rnaturalearthdata, r-cran-sf, r-cran-strex, r-cran-terra
Filename: pool/dists/focal/main/r-cran-macrobiome_0.4.0-1.ca2004.1_all.deb
Size: 1267620
MD5sum: 08dd73ad93bc1192d1fbd527834a9b18
SHA1: e8b40fbbc94e4c93ef27145c852a219dc9ac787c
SHA256: 78e8f452b834aebe20c3d9743604c2e58b50232b5068af50cea81a1eeea0c70b
SHA512: 7ae2768335ed7f1e39a99d32b9c17e94858806820c8c94f67bff88706db4e05920d531e699768cc20d11b4290b7e2201166a2b4a364b5ec359c6db65057b5473
Homepage: https://cran.r-project.org/package=macroBiome
Description: CRAN Package 'macroBiome' (A Tool for Mapping the Distribution of the Biomes and Bioclimate)
 Procedures for simulating biomes by equilibrium vegetation models, with a
 special focus on paleoenvironmental applications.  Three widely used
 equilibrium biome models are currently implemented in the package: the
 Holdridge Life Zone (HLZ) system (Holdridge 1947,
 <doi:10.1126/science.105.2727.367>), the Köppen-Geiger classification (KGC)
 system (Köppen 1936,
 <https://koeppen-geiger.vu-wien.ac.at/pdf/Koppen_1936.pdf>) and the BIOME
 model (Prentice et al. 1992, <doi:10.2307/2845499>). Three climatic
 forest-steppe models are also implemented.  An approach for estimating
 monthly time series of relative sunshine duration from temperature and
 precipitation data (Yin 1999, <doi:10.1007/s007040050111>) is also adapted,
 allowing process-based biome models to be combined with high-resolution
 paleoclimate simulation datasets (e.g., CHELSA-TraCE21k v1.0 dataset:
 <https://chelsa-climate.org/chelsa-trace21k/>).

Package: r-cran-macrocol
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-openxlsx, r-cran-httr, r-cran-lubridate, r-cran-readxl, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-macrocol_0.1.0-1.ca2004.1_all.deb
Size: 39240
MD5sum: 67ba916b903c5032af862fde32f38e77
SHA1: 8d9237aa2fb56157a9b660aab6708b618f784d30
SHA256: 7d7b9bb647033f3fa0904c422b949b3c1899fdc52f097e59be2966bf11c701cc
SHA512: 5cf14aad3aabe9c78d74a0d053e114e3f3aee699e83e33a147a97a1b4baa1d0c0eec6f5d9f294df36e78e42caf39e2460974d76dae6b27a02fea0c3b1761b52a
Homepage: https://cran.r-project.org/package=macrocol
Description: CRAN Package 'macrocol' (Colombian Macro-Financial Time Series Generator)
 This repository aims to contribute to the econometric models' production
 with Colombian data, by providing a set of web-scrapping functions of some
 of the main macro-financial indicators. All the sources are public and free,
 but the advantage of these functions is that they directly download and
 harmonize the information in R's environment. No need to import or download
 additional files. You only need an internet connection!

Package: r-cran-macrosyntr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3540
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-tidyr, r-cran-reshape2, r-cran-dplyr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-macrosyntr_0.3.3-1.ca2004.1_all.deb
Size: 2337452
MD5sum: 9a27825727ae7b2046498771bbc7193b
SHA1: 9d1325a3bbd4a45c98fc27181204e135571f2672
SHA256: 7ebe9cd0aeead87674828174257bd89d12b3fd0784c87e9ce127ab970a59e3b6
SHA512: aba5f4003186b5e137b7d4b5e0aa73fc8fdd8520578dcc6f0625480fef06220869ce74575faeec279adf9f65f9725b9260652c5e9e968640d66779c7a794665e
Homepage: https://cran.r-project.org/package=macrosyntR
Description: CRAN Package 'macrosyntR' (Draw Ordered Oxford Grids and Chord Diagrams)
 Use standard genomics file format (BED) and a table of orthologs to
 illustrate synteny conservation at the genome-wide scale.  Significantly
 conserved linkage groups are identified as described in Simakov et al.
 (2020) <doi:10.1038/s41559-020-1156-z> and displayed on an Oxford Grid
 (Edwards (1991) <doi:10.1111/j.1469-1809.1991.tb00394.x>) or a chord diagram
 as in Simakov et al. (2022) <doi:10.1126/sciadv.abi5884>.  The package
 provides a function that uses a network-based greedy algorithm to find
 communities (Clauset et al. (2004) <doi:10.1103/PhysRevE.70.066111>) and so
 automatically order the chromosomes on the plot to improve interpretability.

Package: r-cran-macrozoobenthoswatera
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-macrozoobenthoswatera_0.1.0-1.ca2004.1_all.deb
Size: 40536
MD5sum: 0ba647bfea08ff45cc3b8906c1645fa6
SHA1: e48b2945b43b33de044e6dbf122b96985563f402
SHA256: 9e43f538d420a94e101d940c277822f9aa5237c627be3678a6a4a719728ef623
SHA512: 998c302e40e257fabf3ab5742a73dde69a476b7deae536f3fd6851d17a2f6feea4c91bd86f97bca491ed5d2552e81248cc50f8cc0946d09c81bedbe41e92d575
Homepage: https://cran.r-project.org/package=MacroZooBenthosWaterA
Description: CRAN Package 'MacroZooBenthosWaterA' (Fresh Water Quality Analysis Based on Macrozoobenthos)
 Includes functions for calculating basic indices of macrozoobenthos for
 water quality and is designed to provide researchers and environmental
 professionals with a comprehensive tool for evaluating the ecological health
 of aquatic ecosystems.The package is based on the following references:
 Paisley, M. F., Trigg, D. J. and Walley, W. J. (2014)<doi:10.1002/rra.2686>.
 Arslan, N., Salur, A., Kalyoncu, H. et al.(2016)
 <doi:10.1515/biolog-2016-0005>. Hilsenhoff W.L. (1987). Hilsenhoff. W.L.
 (1988) Barbour, M.T., Gerritsen, J., Snyder, B.D., and Stribling, J.B.
 (1999).

Package: r-cran-maczic
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-pscl, r-cran-sandwich, r-cran-survival, r-cran-mediation, r-cran-emplik, r-cran-bb, r-cran-mathjaxr
Suggests: r-cran-suppdists
Filename: pool/dists/focal/main/r-cran-maczic_1.0.0-1.ca2004.1_all.deb
Size: 234100
MD5sum: 5131e7917b72cdc368d73d77b6a1d45b
SHA1: b45a20872da8d4a1217ee4a8d0266229ebd03d16
SHA256: 113ca6add6af6c538eb65a23a739a09dad8dda05043eda16fd4315168853566e
SHA512: 4cc5094e4b6e9395cb3494f688686ecdce316ed180641b0888e495d53a775487e9efd83f24e8fa0ad549e9d49244242c27da5e534a79ec43cf634bca0a8b700c
Homepage: https://cran.r-project.org/package=maczic
Description: CRAN Package 'maczic' (Mediation Analysis for Count and Zero-Inflated Count Data)
 Performs causal mediation analysis for count and zero-inflated count data
 without or with a post-treatment confounder; calculates power to detect
 prespecified causal mediation effects, direct effects, and total effects;
 performs sensitivity analysis when there is a treatment- induced
 mediator-outcome confounder as described by Cheng, J., Cheng, N.F., Guo, Z.,
 Gregorich, S., Ismail, A.I., Gansky, S.A. (2018)
 <doi:10.1177/0962280216686131>. Implements Instrumental Variable (IV) method
 to estimate the controlled (natural) direct and mediation effects, and
 compute the bootstrap Confidence Intervals as described by Guo, Z., Small,
 D.S., Gansky, S.A., Cheng, J. (2018) <doi:10.1111/rssc.12233>. This software
 was made possible by Grant R03DE028410 from the National Institute of Dental
 and Craniofacial Research, a component of the National Institutes of Health.

Package: r-cran-mad
Architecture: all
Version: 0.8-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-metafor, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mad_0.8-3-1.ca2004.1_all.deb
Size: 292592
MD5sum: 6ee473c07d866fb7521f0f676bd4f052
SHA1: d0669009e46ea6ef2fc8ebb56298f8c22ce10631
SHA256: 95da1fdc8387129ecb4f32af22aace8c8efa8ac28f7cc77d16ebd3189d6c4ce5
SHA512: 754bd3eab079d78774b5e384df100e4cf9a0a7f9f2ec1163b3bf43419cfcc10846599d35293d99dd25fc597643d2a254e78f1399a41a5acf8ca66055b7591019
Homepage: https://cran.r-project.org/package=MAd
Description: CRAN Package 'MAd' (Meta-Analysis with Mean Differences)
 A collection of functions for conducting a meta-analysis with mean
 differences data.  It uses recommended procedures as described in The
 Handbook of Research Synthesis and Meta-Analysis (Cooper, Hedges, &
 Valentine, 2009).

Package: r-cran-mada
Architecture: all
Version: 0.5.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-ellipse, r-cran-mvmeta, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-mada_0.5.12-1.ca2004.1_all.deb
Size: 487040
MD5sum: a846dd02c52b2913703dd584873f7583
SHA1: 97481b4edb4dd93235b0948fccdfeb2f6135e4cb
SHA256: 33348c29d5d186e28989dbebfc7d0e116aeb294de9708b0c4911e7828ba98586
SHA512: c036bfcc72a39c8df4ad1477df9d409c63a8749f9b3ad23831c9ff9e52dece0872947852217d4eb1c745cc6edc8e8c51735e3aa0ed97fa1a9034e43309a13598
Homepage: https://cran.r-project.org/package=mada
Description: CRAN Package 'mada' (Meta-Analysis of Diagnostic Accuracy)
 Provides functions for diagnostic meta-analysis. Next to basic analysis and
 visualization the bivariate Model of Reitsma et al. (2005) that is
 equivalent to the HSROC of Rutter & Gatsonis (2001) can be fitted. A new
 approach based to diagnostic meta-analysis of Holling et al. (2012) is also
 available. Standard methods like summary, plot and so on are provided.

Package: r-cran-madantext
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xlsx, r-cran-lattice, r-cran-stopwords, r-cran-textminer, r-cran-tidytext, r-cran-stringi, r-cran-tidyr, r-cran-udpipe, r-cran-persianstemmer, r-cran-shiny, r-cran-shinythemes, r-cran-tm, r-cran-dplyr, r-cran-hwordcloud, r-cran-stringr, r-cran-topicmodels
Filename: pool/dists/focal/main/r-cran-madantext_0.1.0-1.ca2004.1_all.deb
Size: 151504
MD5sum: cfb9519faabec024b3efcd8ab0d126a5
SHA1: 2298734618333b88a3c6b3b875ee751ca6d7a67e
SHA256: fd0ee2a0e9427428d03c54bb5e8f9fc84dffa5be6a95168d6cccb811f122be39
SHA512: 1a5f83ec4028f08bb64f3435a2f14d9c20f8bcd3f9dd8f81f86d2233e91ca9e65903429ce4dea8b056219ebc85b3811f05a11f8f7beb9abd21001c3484aae3a1
Homepage: https://cran.r-project.org/package=MadanText
Description: CRAN Package 'MadanText' (Persian Text Mining Tool for Frequency Analysis, StatisticalAnalysis, and Word Clouds)
 This is an open-source software designed specifically for text mining in the
 Persian language. It allows users to examine word frequencies, download data
 for analysis, and generate word clouds. This tool is particularly useful for
 researchers and analysts working with Persian language data.  This package
 mainly makes use of the 'PersianStemmer' (Safshekan, R., et al. (2019).
 <https://CRAN.R-project.org/package=PersianStemmer>), 'udpipe' (Wijffels,
 J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and 'shiny'
 (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>)
 packages.

Package: r-cran-madantextnetwork
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xlsx, r-cran-glue, r-cran-lattice, r-cran-stopwords, r-cran-textminer, r-cran-tidytext, r-cran-tidyr, r-cran-udpipe, r-cran-persianstemmer, r-cran-shiny, r-cran-shinythemes, r-cran-tm, r-cran-dplyr, r-cran-hwordcloud, r-cran-stringr, r-cran-stringi, r-cran-topicmodels, r-cran-igraph, r-cran-ngram, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-madantextnetwork_0.1.0-1.ca2004.1_all.deb
Size: 195128
MD5sum: 5c1b7cb96b7d03eb815db90c37db9014
SHA1: b8277261372d761ddddd9ad6ab28627dd9edbe10
SHA256: e0b56957e7ed928f8f661d5448970511edb6ee8c57c3e2c784da08b830af17fb
SHA512: f54337b55834a636f719c69fee8ce90dcb04bd14d3c6495c70fafa4bd05f629516a2620c025754239d440ac716b5447a512852f604883be8b4e642a0145a4ff1
Homepage: https://cran.r-project.org/package=MadanTextNetwork
Description: CRAN Package 'MadanTextNetwork' (Persian Text Mining Tool for Co-Occurrence Network)
 Provides an extension to 'MadanText' for creating and analyzing
 co-occurrence networks in Persian text data.  This package mainly makes use
 of the 'PersianStemmer' (Safshekan, R., et al. (2019).
 <https://CRAN.R-project.org/package=PersianStemmer>), 'udpipe' (Wijffels,
 J., et al. (2023). <https://CRAN.R-project.org/package=udpipe>), and 'shiny'
 (Chang, W., et al. (2023). <https://CRAN.R-project.org/package=shiny>)
 packages.

Package: r-cran-maddison
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-maddison_0.2-1.ca2004.1_all.deb
Size: 193352
MD5sum: 6bd17da8598feee39266d0ad1cdd7a6e
SHA1: 7040c3dce0abcacd6642f9d456f794c38e1bf962
SHA256: a60ab63a03b99ae9115a22ed648b48c8c018db50c15bc33702025783d550073e
SHA512: 2009ad7e71b2fa1d8de8f97d0459f4f088f1a96c4225b10b9ff2ab965bc5749cbeb0d5b60f63366188fd33e16db1956963ab3c46ce7ef1f2de78017798e516f9
Homepage: https://cran.r-project.org/package=maddison
Description: CRAN Package 'maddison' (The Maddison Project Database)
 Contains the Maddison Project 2018 database, which provides estimates of GDP
 per capita for all countries in the world between AD 1 and 2016. See
 <https://www.rug.nl/ggdc/historicaldevelopment/maddison/> for more
 information.

Package: r-cran-madgrad
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-torch, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-madgrad_0.1.0-1.ca2004.1_all.deb
Size: 57540
MD5sum: 51ce2d94b563115d5e7c36913b5e22d5
SHA1: a688e953026075506c70f5e0cd5233aa399f9c1f
SHA256: 95070110a8fe8b7472cb25504374061f424a275ea549c803997e87b8f8a0775f
SHA512: ba4bc1920d0c4680a5087ddc0f8f49a24edfad6cf322659f3e3ea3bd49fbe922dc5ced9d37c19b49d198ec9af488a0336dd46a9ba8216350c42d3476285919c7
Homepage: https://cran.r-project.org/package=madgrad
Description: CRAN Package 'madgrad' ('MADGRAD' Method for Stochastic Optimization)
 A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic
 Optimization algorithm. MADGRAD is a 'best-of-both-worlds' optimizer with
 the generalization performance of stochastic gradient descent and at least
 as fast convergence as that of Adam, often faster. A drop-in optim_madgrad()
 implementation is provided based on Defazio et al (2020) <arxiv:2101.11075>.

Package: r-cran-maditr
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 949
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-tinytest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maditr_0.8.5-1.ca2004.1_all.deb
Size: 366460
MD5sum: c6958591d96736d53c1a4b49aee13752
SHA1: 3e871487caae0e2443c7c9b445313b6c9283eeb6
SHA256: 7f3e05239c43fb8b18c27a7097ec169ab016e5bed3a4f2c7417716aa7cc6ef27
SHA512: 5df9c5e1bb14a95720c031f25df5a5cdfb5e289a63e0f2b548def9868e67a29f0e51ee6213f85f7a242cc4968fa28f537c6467404f467ea083852bec7862e1a9
Homepage: https://cran.r-project.org/package=maditr
Description: CRAN Package 'maditr' (Fast Data Aggregation, Modification, and Filtering with Pipesand 'data.table')
 Provides pipe-style interface for 'data.table'. Package preserves all
 'data.table' features without significant impact on performance. 'let' and
 'take' functions are simplified interfaces for most common data manipulation
 tasks. For example, you can write 'take(mtcars, mean(mpg), by = am)' for
 aggregation or 'let(mtcars, hp_wt = hp/wt, hp_wt_mpg = hp_wt/mpg)' for
 modification. Use 'take_if/let_if' for conditional aggregation/modification.
 Additionally there are some conveniences such as automatic 'data.frame'
 conversion to 'data.table'.

Package: r-cran-madness
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1739
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-expm
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-lubridate, r-cran-sharper, r-cran-sandwich, r-cran-formatr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-madness_0.2.8-1.ca2004.1_all.deb
Size: 1192776
MD5sum: 94169d28c80da9c2f9a1539f7b0518bc
SHA1: 5d502f6ccf92c97988cefe5f7c0d1624f432e7fb
SHA256: d783e643efdcb571ba580fbf21fb276ff1515bfb97c3e243658d2c6cb9ec42c9
SHA512: e6098049c2e30520ba24b51f40171917d92a5c7c2b0f6f161fac037cb9d163a82e1903071c9f745d1ef79ae5a7ee5240682be091084581fdd29a68421092601b
Homepage: https://cran.r-project.org/package=madness
Description: CRAN Package 'madness' (Automatic Differentiation of Multivariate Operations)
 An object that supports automatic differentiation of matrix- and
 multidimensional-valued functions with respect to multidimensional
 independent variables.  Automatic differentiation is via 'forward
 accumulation'.

Package: r-cran-madr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-madr_1.0.0-1.ca2004.1_all.deb
Size: 62060
MD5sum: a51d5462c10fafe8501e69c15e1a53d2
SHA1: 05cbdeb020d3a1f93bc856042bc50ed3e20a6403
SHA256: f079757056966f90ea2846cee72965959d6cf8af67aab229f84a4851b48835f1
SHA512: 463403ec74894d45b81f3020a79c84dfa5583c671cf619016211b5274fff00dc32e05800f7ab1070064f007f81c634254e3f9c0351421ed4d2bb53ca292580bc
Homepage: https://cran.r-project.org/package=madr
Description: CRAN Package 'madr' (Model Averaged Double Robust Estimation)
 Estimates average treatment effects using model average double robust
 (MA-DR) estimation. The MA-DR estimator is defined as weighted average of
 double robust estimators, where each double robust estimator corresponds to
 a specific choice of the outcome model and the propensity score model. The
 MA-DR estimator extend the desirable double robustness property by achieving
 consistency under the much weaker assumption that either the true propensity
 score model or the true outcome model be within a specified, possibly large,
 class of models.

Package: r-cran-madrat
Architecture: all
Version: 3.15.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 961
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magclass, r-cran-callr, r-cran-digest, r-cran-igraph, r-cran-matrix, r-cran-pkgload, r-cran-renv, r-cran-stringi, r-cran-withr, r-cran-yaml
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-madrat_3.15.6-1.ca2004.1_all.deb
Size: 622096
MD5sum: 8307581fa580f4fbecb5a10a26ec386a
SHA1: 46bdc513efd46011e55d589aad6adcb6355ab23d
SHA256: 9a79e1e72ddb2d0b7ec25453df0730b1543b73c71d2ff25f5ade7142c14246c5
SHA512: b1362ed5e6d10de66ef194fa272b23579a738d211b833bc9793b202118c2bfbe08118bf06399e52c9243d52765e8812ffdc8d8dd97489eca23d5dc4c256952db
Homepage: https://cran.r-project.org/package=madrat
Description: CRAN Package 'madrat' (May All Data be Reproducible and Transparent (MADRaT) *)
 Provides a framework which should improve reproducibility and transparency
 in data processing. It provides functionality such as automatic meta data
 creation and management, rudimentary quality management, data caching,
 work-flow management and data aggregation.  * The title is a wish not a
 promise. By no means we expect this package to deliver everything what is
 needed to achieve full reproducibility and transparency, but we believe that
 it supports efforts in this direction.

Package: r-cran-mads
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mrds
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mads_0.1.6-1.ca2004.1_all.deb
Size: 182160
MD5sum: 23d543633a54f02ece20b1f4eb229a11
SHA1: 898a271770eb108d55883f9da2884cdadce89e53
SHA256: 165b936fd98f66a00ae9bab27dd03188e60b5cea09f12dc1a7ae9ca031ca6e67
SHA512: 83c080350847984aaea5cc9cb26d31d649fa2a2ca699a5031348b3f02f4c957ad942694625a19e6054591d6da94ac907ff110349d87b5bf7e6c3184dbcb21dc6
Homepage: https://cran.r-project.org/package=mads
Description: CRAN Package 'mads' (Multi-Analysis Distance Sampling)
 Performs distance sampling analyses on a number of species at once and can
 account for unidentified sightings, model uncertainty and covariate
 uncertainty. Unidentified sightings refer to sightings which cannot be
 allocated to a single species but may instead be allocated to a group of
 species. The abundance of each unidentified group is estimated and then
 prorated to the species estimates. Model uncertainty should be incorporated
 when multiple models give equally good fit to the data but lead to large
 differences in estimated density / abundance. Covariate uncertainty should
 be incorporated when covariates cannot be measured accurately, for example
 this is often the case for group size in marine mammal surveys. Variance
 estimation for these methods is via a non parametric bootstrap.  The methods
 implemented are described in Gerodette T. and Forcada J. (2005)
 <doi:10.3354/meps291001> Non-recovery of two spotted and spinner dolphin
 populations in the eastern tropical Pacific Ocean.

Package: r-cran-madshapr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-crayon, r-cran-ggplot2, r-cran-lubridate, r-cran-janitor, r-cran-forcats, r-cran-knitr, r-cran-haven, r-cran-bookdown, r-cran-dt, r-cran-readr, r-cran-tidyr, r-cran-fs, r-cran-fabr
Filename: pool/dists/focal/main/r-cran-madshapr_2.0.0-1.ca2004.1_all.deb
Size: 522088
MD5sum: 41a81c22d169775587ff435c2dde4010
SHA1: 1cd375d221745dff48f65fb731f2105119669f8d
SHA256: 7db042810c2a7f3555d4124079f274afc9832b0e1e8365fb5208e41d10f8a715
SHA512: a63ea0b1e580cdd593c1ca1d65a1a2fed9d79f415c84ae9a7bf8c5e811f62fb3ff4ca96e331f74d1d3438b2768a084724fba28cd7ce817832f1902cd49ad24d2
Homepage: https://cran.r-project.org/package=madshapR
Description: CRAN Package 'madshapR' (Functions to Support Data Management and Processing Using theMaelstrom Research Approach)
 Functions to support data cleaning, evaluation, and description, developed
 for integration with Maelstrom Research software tools. 'madshapR' provides
 functions primarily to evaluate and manipulate datasets and data
 dictionaries in preparation for data harmonization with the package
 'Rmonize' and to facilitate integration and transfer between RStudio servers
 and secure Opal environments. 'madshapR' functions can be used independently
 but are optimized in conjunction with ‘Rmonize’ functions for streamlined
 and coherent harmonization processing.

Package: r-cran-madsim
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-madsim_1.2.1-1.ca2004.1_all.deb
Size: 238548
MD5sum: 4817e1c74d5cfd2f8fa3b3c921834f79
SHA1: 434aad2fc66cb3437173d302bf1c1e1a1fbb1e9e
SHA256: 6c58bbbc4365ea080db9cdb2141d83bf4aaba2de2f18cfe67aeb6d621d9f16bb
SHA512: 853f7ca172d0fe4959de45f94fdcf0a0e0c5f3a34c8bfe6e2d2daa1fcfe2b75cff262584510d9c5e471c843f22ca6a027201a7500824754f9575ae7c2a04bc93
Homepage: https://cran.r-project.org/package=madsim
Description: CRAN Package 'madsim' (A Flexible Microarray Data Simulation Model)
 This function allows to generate two biological conditions synthetic
 microarray dataset which has similar behavior to those currently observed
 with common platforms. User provides a subset of parameters.  Available
 default parameters settings can be modified.

Package: r-cran-maestro
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3004
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-logger, r-cran-lubridate, r-cran-purrr, r-cran-r.utils, r-cran-r6, r-cran-rlang, r-cran-roxygen2, r-cran-tictoc, r-cran-timechange
Suggests: r-cran-asciicast, r-cran-diagrammer, r-cran-furrr, r-cran-future, r-cran-knitr, r-cran-quarto, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-maestro_0.6.0-1.ca2004.1_all.deb
Size: 976540
MD5sum: df0910cc63d71ec77d785218b06be225
SHA1: e531907e74b2329a2a6b45a3375f3efc3ad61ab0
SHA256: 5a3c21936d37b41e61697ccc33c414a6e97ad17dda13d1bf3f8cb67a898ee58e
SHA512: f7bed02c557802875c635325b629e3cd25084e2fcd419e914510d221aaa9fb1a61d69b6a85be83907a8bbf1a5596b7767744b85454f13cdf08e8c2187bff85fd
Homepage: https://cran.r-project.org/package=maestro
Description: CRAN Package 'maestro' (Orchestration of Data Pipelines)
 Framework for creating and orchestrating data pipelines. Organize,
 orchestrate, and monitor multiple pipelines in a single project. Use tags to
 decorate functions with scheduling parameters and configuration.

Package: r-cran-maeswrap
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-lattice, r-cran-geometry, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-maeswrap_1.7-1.ca2004.1_all.deb
Size: 107940
MD5sum: 313b04709e0b5b41827188e37f9bc9f3
SHA1: 0420e8c8c4a866a7862a131abc9d165ac53e3274
SHA256: 9498ff80a61f5ec880a0f9552ebf27ca54b27a60399d2f3c64855fe1d68cbb84
SHA512: 006541bc04a840f4e6dfe193ada047b460d28afde3e4d0dc514060abe88bc07a2fb93e5d2349f55cebd4f60104a6447eb181b26829295419d6a64832eafbf205
Homepage: https://cran.r-project.org/package=Maeswrap
Description: CRAN Package 'Maeswrap' (Wrapper Functions for MAESTRA/MAESPA)
 A bundle of functions for modifying MAESTRA/MAESPA input files,reading
 output files, and visualizing the stand in 3D. Handy for running sensitivity
 analyses, scenario analyses, etc.

Package: r-cran-mafdash
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-knitr, r-bioc-tcgabiolinks, r-bioc-maftools, r-cran-dt, r-cran-htmltools, r-cran-flexdashboard, r-cran-bsplus, r-cran-crosstalk, r-cran-plotly, r-cran-canvasxpress, r-cran-dplyr, r-bioc-complexheatmap, r-cran-circlize, r-cran-ggbeeswarm, r-cran-ensurer, r-cran-data.table, r-bioc-genomicranges, r-bioc-iranges, r-cran-pheatmap, r-cran-tibble, r-cran-readr
Suggests: r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-mafdash_0.2.1-1.ca2004.1_all.deb
Size: 2503360
MD5sum: 86a0861222d5dd5eeb8d08ce4b45963e
SHA1: 28b5435f2669086e9eb4952d7d5435fe855be41e
SHA256: dd0d04017254d8f638d4262fba62ea316de381f92c8a941e08f7a2fa943b87c1
SHA512: 1fc3d53b96a0cece024988f3b90d21476c613158db6539b889b7677ca060233d79b91ee0c05a1c44dc8d57d614c64dfc56a3f5b4952ff357f99940f22f64aa37
Homepage: https://cran.r-project.org/package=MAFDash
Description: CRAN Package 'MAFDash' (Create an HTML Dashboard to Visualize Data from MAF File)
 Mutation Annotation Format (MAF) is a tabular data format used for storing
 genetic mutation data.  For example, The Cancer Genome Atlas (TCGA) project
 has made MAF files from each project publicly available.  This package
 contains a set of tools to easily create an HTML dashboard to summarize and
 visualize data from MAF file.  The resulting HTML file serves as a
 self-contained report that can be used to explore the result.

Package: r-cran-mafr
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-mafr_1.1.6-1.ca2004.1_all.deb
Size: 24672
MD5sum: 3f9ba4a8336d9da698b1e6429d106e8e
SHA1: a25f19010dd0e61eaca8ecabf2e55beba182b8cf
SHA256: c4cd4927166b29d3fa4d6926f475ee634ce494e4d5973b90df6940bd54f7b97e
SHA512: 060c17d44fb075ded96cb887f2574183a97f4ef7b0ce7077a7ef57c7358817678863a0c3679f318370e921cb864f10ca056d1788691ac60aab781fb71e3af92e
Homepage: https://cran.r-project.org/package=mafR
Description: CRAN Package 'mafR' (Interface for Masked Autoregressive Flows)
 Interfaces the Python library 'zuko' implementing Masked Autoregressive
 Flows. See Rozet, Divo and Schnake (2023) <doi:10.5281/zenodo.7625672> and
 Papamakarios, Pavlakou and Murray (2017) <doi:10.48550/arXiv.1705.07057>.

Package: r-cran-magclass
Architecture: all
Version: 6.13.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1654
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-data.table
Suggests: r-cran-covr, r-cran-knitr, r-cran-ncdf4, r-cran-pkgconfig, r-cran-raster, r-cran-rmarkdown, r-cran-terra, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-magclass_6.13.2-1.ca2004.1_all.deb
Size: 830328
MD5sum: e02c6ef2fc135d556ae1889e43c667db
SHA1: 4b5a59bcd8aaa8a9ae5d9586215406c0adbb6d97
SHA256: 6afc9593403f5722b631e40a960c39ca0cff38cf599aa674231d351225eaeef5
SHA512: 7126954c37d3857d5085959f0156fb5f556c4e66ede9991d0fa07f25ad7fb06f062435fb49974ecfc2eb2bd84a4c08e07db89dc98ce541785d17ae1709fc1bf1
Homepage: https://cran.r-project.org/package=magclass
Description: CRAN Package 'magclass' (Data Class and Tools for Handling Spatial-Temporal Data)
 Data class for increased interoperability working with spatial-temporal data
 together with corresponding functions and methods (conversions, basic
 calculations and basic data manipulation).  The class distinguishes between
 spatial, temporal and other dimensions to facilitate the development and
 interoperability of tools build for it. Additional features are name-based
 addressing of data and internal consistency checks (e.g. checking for the
 right data order in calculations).

Package: r-cran-magic
Architecture: all
Version: 1.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-abind
Filename: pool/dists/focal/main/r-cran-magic_1.6-1-1.ca2004.1_all.deb
Size: 390376
MD5sum: 84e05046553b3b7a425d2735d0944d30
SHA1: 9fe56d1a5029516bb07ff4e86717ade3916450c8
SHA256: 510bfd101ec43562bc5e5a0c9f06b6a1ccda4ea47bd4b8112975d00c6d9403c0
SHA512: ce4e1555e37ca885496c0cd3f0756cd7b2173f800290257e9afe994d4ea67339e354ba295439bf5aaf2587a1dc44fbc6a280d158964eafc54e64f3f33e8d7e9c
Homepage: https://cran.r-project.org/package=magic
Description: CRAN Package 'magic' (Create and Investigate Magic Squares)
 A collection of functions for the manipulation and analysis of arbitrarily
 dimensioned arrays.  The original motivation for the package was the
 development of efficient, vectorized algorithms for the creation and
 investigation of magic squares and high-dimensional magic hypercubes.

Package: r-cran-magicaxis
Architecture: all
Version: 2.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4044
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-celestial, r-cran-mass, r-cran-plotrix, r-cran-sm, r-cran-mapproj, r-cran-rann
Suggests: r-cran-imager, r-cran-fst
Filename: pool/dists/focal/main/r-cran-magicaxis_2.4.5-1.ca2004.1_all.deb
Size: 3640052
MD5sum: fce5e3cc1bafab1ab83cee4b7e925c44
SHA1: d2c0d1f4ac7bf6c842c590ac488a42af1dfad608
SHA256: 71aca00ebf1ec52cb757e2ba5d32d81698d28d7b8a9d803d0253fb4ce58bd965
SHA512: d20f98ceee6af6f4fa38fa7cb4d567b677bf2fbca11a30d0d55949d4bb98fc1eb3db02e3cad9fb88fe478d8dd16b4400124d6733bf936803f955e363b25beae2
Homepage: https://cran.r-project.org/package=magicaxis
Description: CRAN Package 'magicaxis' (Pretty Scientific Plotting with Minor-Tick and Log Minor-TickSupport)
 Functions to make useful (and pretty) plots for scientific plotting.
 Additional plotting features are added for base plotting, with particular
 emphasis on making attractive log axis plots.

Package: r-cran-magicfor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-magicfor_0.1.0-1.ca2004.1_all.deb
Size: 35460
MD5sum: 5a744928024fb0704b8c808fc3931e77
SHA1: 039c2fa96dcd9e97851566aced1dbbe13f0c41e1
SHA256: 4999bfe722a714714758ce2608f83551981b01adce2e650f3fd899e59931b277
SHA512: 439669bc0b003353ab512f35b1780a743fe7097515af8448374664cfadabebb40f0158d66278b68cd3549ee53f71cd4ef6d5284dfafed58f700b1c65c20425df
Homepage: https://cran.r-project.org/package=magicfor
Description: CRAN Package 'magicfor' (Magic Functions to Obtain Results from for Loops)
 Magic functions to obtain results from for loops.

Package: r-cran-magickgui
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magick
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-magickgui_1.3.1-1.ca2004.1_all.deb
Size: 149268
MD5sum: fa16a9a9ff4121c5a2176ae92a2c2daf
SHA1: 592ef4474dd8c57db414e3c26c3f7d59818620c4
SHA256: fda3f255d050439f01734f822c2d5159c9f4858f747758476bb41916caa1bef2
SHA512: 6804ac9c8629574e2ae3c48f899d42204b067d688a55570fe7f1c7262b8c7c9fb4ac05480fe02a51db7dbad5ac6a414802760dd66a0f1bfe4ad1bd0ab412fcfb
Homepage: https://cran.r-project.org/package=magickGUI
Description: CRAN Package 'magickGUI' (GUI Tools for Interactive Image Processing with 'magick')
 Enables us to use the functions of the package 'magick' interactively.

Package: r-cran-magiclamp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-magiclamp_0.1.0-1.ca2004.1_all.deb
Size: 19720
MD5sum: f82101b0a5c7c76752c0a1ee4007fd1b
SHA1: 55eb4d4c8aa2cb14327bd1eb5ba6e411e23095e4
SHA256: 17526c3b3beb85e717aedd3d290ecdeb9eff4bb6c1b798e9daa952709bd81886
SHA512: 005a3f17110b0269d5de9bfb6f32fc899221cd5199b7c344bc02806dc7a71885fac875377065c642b5185a7ac1189bc611900919fd0405d3a3c5376975d59e8b
Homepage: https://cran.r-project.org/package=magicLamp
Description: CRAN Package 'magicLamp' ('WeMo Switch' Smart Plug Utilities)
 Set of utility functions to interact with 'WeMo Switch', a smart plug that
 can be remotely controlled via wifi. The provided functions make it possible
 to turn one or more 'WeMo Switch' plugs on and off in a scriptable fashion.
 More information about 'WeMo Switch' can be found at
 <http://www.belkin.com/us/p/P-F7C027/>.

Package: r-cran-magma.r
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 928
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tidyverse, r-cran-doparallel, r-cran-foreach, r-cran-metafor, r-cran-robumeta, r-cran-psych, r-cran-ggplot2, r-cran-janitor, r-cran-overlapping, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-tidyselect, r-cran-rlang, r-cran-stddiff
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-magma.r_1.0.4-1.ca2004.1_all.deb
Size: 377028
MD5sum: 008f0520ea5c6c9439df87b083d28670
SHA1: a439778fd1a3daafdba23513866f7db704576e65
SHA256: ef2892ef382f4796e5fdbd17366370add32644318930f5c748a4a5d774d0acd3
SHA512: a79b18a50ff6c0bb1ee57d2263cc63eee97573a45a75f3485c022c86a8a89e3c699f55425bc754529e697326e939ecbae4f7f29153bc575cef64f64926b5f600
Homepage: https://cran.r-project.org/package=MAGMA.R
Description: CRAN Package 'MAGMA.R' (MAny-Group MAtching)
 Balancing quasi-experimental field research for effects of covariates is
 fundamental for drawing causal inference. Propensity Score Matching deals
 with this issue but current techniques are restricted to binary treatment
 variables. Moreover, they provide several solutions without providing a
 comprehensive framework on choosing the best model. The MAGMA R-package
 addresses these restrictions by offering nearest neighbor matching for two
 to four groups. It also includes the option to match data of a 2x2 design.
 In addition, MAGMA includes a framework for evaluating the post-matching
 balance. The package includes functions for the matching process and
 matching reporting. We provide a tutorial on MAGMA as vignette. More
 information on MAGMA can be found in Feuchter, M. D., Urban, J., Scherrer
 V., Breit, M. L., and Preckel F. (2022) <https://osf.io/p47nc/>.

Package: r-cran-magmar
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2145
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-crul, r-cran-jsonlite
Suggests: r-bioc-dittoseq, r-bioc-biocstyle, r-cran-vcr, r-cran-webmockr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-magmar_1.0.4-1.ca2004.1_all.deb
Size: 408932
MD5sum: 4b18b8477c664766907c498a9c9d5b59
SHA1: 98c7b806c1d4164d99d96246eff3697fbd0458ad
SHA256: a574a566ec61bbb4f2c6c3c2a6ecf923522092f9531a6ea5d9bd585f02fa6d9a
SHA512: 22ea3e10bc0afc41e5ec5e51aa6fe95b8238c0f8af12b3e3baac484782bb8c0665a51c6c8c4e4da22a6a130ef919a3bfefaf275f47b7b2a130b0d1e7d5ef3da0
Homepage: https://cran.r-project.org/package=magmaR
Description: CRAN Package 'magmaR' (R-Client for Interacting with the 'UCSF Data Library')
 A client for interacting with 'magma', the data warehouse of the 'UCSF Data
 Library'. 'magmaR' includes functions for querying and downloading data from
 'magma', in order to enable working with such data in R, as well as for
 uploading local data to 'magma'.

Package: r-cran-magnamwar
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-coxme, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-iterators, r-cran-lme4, r-cran-multcomp, r-cran-plyr, r-cran-qqman, r-cran-survival, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-magnamwar_2.0.4-1.ca2004.1_all.deb
Size: 1304616
MD5sum: bc8a00078e8e9f4bc05af568a7c23d10
SHA1: c09527557914203db585c095fdcb74b677721ee0
SHA256: 8996de219dfb33117c6246cd4543546f35faa15a35a68cda2f34bbe2134db234
SHA512: 64cd317567384d8fd2411311452179dcc43d3b6b5c86c963cd6b5c24603872bfb06109f670526f07cde255c1c374572879e892e9e2d47136cacf97b28058206d
Homepage: https://cran.r-project.org/package=MAGNAMWAR
Description: CRAN Package 'MAGNAMWAR' (A Pipeline for Meta-Genome Wide Association)
 Correlates variation within the meta-genome to target species phenotype
 variations in meta-genome with association studies. Follows the pipeline
 described in Chaston, J.M. et al. (2014) <doi:10.1128/mBio.01631-14>.

Package: r-cran-magui
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase
Suggests: r-cran-tkrplot, r-cran-gwidgets2, r-bioc-rgraphviz, r-bioc-ssize, r-bioc-biostrings, r-cran-biocmanager, r-cran-rsqlite, r-bioc-geoquery, r-bioc-geometadb, r-bioc-rbgl, r-cran-wgcna, r-bioc-keggrest, r-bioc-kegggraph, r-bioc-pdinfobuilder, r-bioc-lumi, r-bioc-oligo, r-bioc-graph, r-bioc-affy, r-bioc-genefilter, r-bioc-beadarray, r-bioc-gostats, r-bioc-go.db, r-bioc-category, r-bioc-annotate, r-bioc-impute, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-magui_4.0-1.ca2004.1_all.deb
Size: 79412
MD5sum: ac32e4af0a578d08995f758ff101a202
SHA1: f989c01f02cd04103820ac2203b5728a421cfaa6
SHA256: 175e7f48316d52dd43822a65e96d653eea77920ae8c6ecfac73b0236b707d72e
SHA512: c7641be1e531fd9c8da794c874a509241b107950a29205e05e6c5d6fbdd6d0312789bc78d941b3120e7be8be04f5f5ef59168a90b38cf6402db78b2c9e0e5cf7
Homepage: https://cran.r-project.org/package=maGUI
Description: CRAN Package 'maGUI' (A Graphical User Interface for Microarray Data Analysis andAnnotation)
 Provides a comprehensive graphical user interface for analysis of
 Affymetrix, Agilent, Illumina, Nimblegen and other microarray data. It can
 perform miscellaneous tasks such as gene set enrichment and test analyses,
 identifying gene symbols and building co-expression network. It can also
 estimate sample size for atleast two-fold expression change. The current
 version is its slenderized form for compatable and flexible implementation.

Package: r-cran-maic
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-matrixstats, r-cran-weights
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maic_0.1.4-1.ca2004.1_all.deb
Size: 54324
MD5sum: 38dd3f10217d7b16a4528ed9bdb76f68
SHA1: 6385b85107c73a02fd5b93fdbd77f5cd8aec0e14
SHA256: ccf4ff1af78765128b44afefe045d0a41e7b85baeb52121fdb1d5e3941a4c403
SHA512: 563b5a1d2c50963efb5b96785cff12a8ef277a68016ceb5cb15986d8dcc0d0143e18914d27ae199b1e3c156cd9f17c50e34fcdb22cbef20fe9b867342d8b748a
Homepage: https://cran.r-project.org/package=maic
Description: CRAN Package 'maic' (Matching-Adjusted Indirect Comparison)
 A generalised workflow for generation of subject weights to be used in
 Matching-Adjusted Indirect Comparison (MAIC) per Signorovitch et al. (2012)
 <doi:10.1016/j.jval.2012.05.004>, Signorovitch et al (2010)
 <doi:10.2165/11538370-000000000-00000>. In MAIC, unbiased comparison between
 outcomes of two trials is facilitated by weighting the subject-level
 outcomes of one trial with weights derived such that the weighted aggregate
 measures of the prognostic or effect modifying variables are equal to those
 of the sample in the comparator trial. The functions and classes included in
 this package wrap and abstract the process demonstrated in the UK National
 Institute for Health and Care Excellence Decision Support Unit (NICE DSU)'s
 example (Phillippo et al, (2016) [see URL]), providing a repeatable and
 easily specifiable workflow for producing multiple comparison variable sets
 against a variety of target studies, with preprocessing for a number of
 aggregate target forms (e.g. mean, median, domain limits).

Package: r-cran-maicchecks
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-tidyr, r-cran-ggplot2, r-cran-lpsolve, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maicchecks_0.2.0-1.ca2004.1_all.deb
Size: 97668
MD5sum: 758dc7a99e61df8ee766bd77bae36105
SHA1: 4ad510ee4916da8c00a1531e96104118b7c4cc24
SHA256: 2b8ea3180f3b984533808cb23b85a3d21e7369188a310cb6073963df240b6096
SHA512: eaae2af260ef7f8f73d1484c3c2e46da226141165c2df2f20c9ed9b4502b27f8e9bed27e128737390c3eaa81aa7be0ecdf4a8a78b3e049714aecf3e060bdbf6d
Homepage: https://cran.r-project.org/package=maicChecks
Description: CRAN Package 'maicChecks' (Exact Matching and Matching-Adjusted Indirect Comparison (MAIC))
 The second version (0.2.0) contains implementation for exact matching which
 is an alternative to propensity score matching (see Glimm & Yau (2025)). The
 initial version (0.1.2) contains a collection of easy-to-implement tools for
 checking whether a MAIC can be conducted, as well as an alternative way of
 calculating weights (see Glimm & Yau (2021) <doi:10.1002/pst.2210>.)

Package: r-cran-maicplus
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1927
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-lubridate, r-cran-matrixstats, r-cran-mass, r-cran-boot, r-cran-stringr, r-cran-lmtest, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-testthat, r-cran-ggplot2, r-cran-rmarkdown, r-cran-dplyr, r-cran-survminer, r-cran-flexsurv, r-cran-tibble, r-cran-vdiffr, r-cran-checkmate
Filename: pool/dists/focal/main/r-cran-maicplus_0.1.2-1.ca2004.1_all.deb
Size: 1432076
MD5sum: abce4d4bdb331b83dd0583ac3316961b
SHA1: bde6b99db4b18d1b8e3f9dae6bcd5597cf39d673
SHA256: f8d58fb43ee8098b590d1ee65f7eab61c9b619916c62b9d163d4e46b4b986682
SHA512: b09f23a4d492be8184e0620c323869bc4c58a6f9d62e9f2e766372570dd7acac8fe6b8c67dd09e21b5f2b4ed80748caba16537cdeeee96757387844b2641b0ff
Homepage: https://cran.r-project.org/package=maicplus
Description: CRAN Package 'maicplus' (Matching Adjusted Indirect Comparison)
 Facilitates performing matching adjusted indirect comparison (MAIC) analysis
 where the endpoint of interest is either time-to-event (e.g. overall
 survival) or binary (e.g. objective tumor response). The method is described
 by Signorovitch et al (2012) <doi:10.1016/j.jval.2012.05.004>.

Package: r-cran-maictools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-boot, r-cran-broom, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-survival, r-cran-survminer, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vim
Suggests: r-cran-haven, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-maictools_0.1.1-1.ca2004.1_all.deb
Size: 166380
MD5sum: 273c77fe50dde339d75d917c88acfa11
SHA1: 86c00be9aaeb4a0030bc94295381b2d09d4a8051
SHA256: 59098de4f3163fc51fdbf6235ecdbef6088f3c07f087597b8a652bdf35cd958f
SHA512: f3c093fd591ed0b7d1365074045eb5e1cc0e8ba87f3243ee69c1fcb9954cd2315b48cb4ec198d571c08095b49249e0213e28390968cd9a4065c037e76aa38392
Homepage: https://cran.r-project.org/package=MAICtools
Description: CRAN Package 'MAICtools' (Performing Matched-Adjusted Indirect Comparisons (MAIC))
 A generalised workflow for Matching-Adjusted Indirect Comparison (MAIC)
 analysis, which supports both anchored and non-anchored MAIC methods.  In
 MAIC, unbiased trial outcome comparison is achieved by weighting the
 subject-level outcomes of the intervention trial so that the weighted
 aggregate measures of prognostic or effect-modifying variables match those
 of the comparator trial. Measurements supported include time-to-event (e.g.,
 overall survival) and binary (e.g., objective tumor response). The method is
 described in Signorovitch et al. (2010)
 <doi:10.2165/11538370-000000000-00000> and Signorovitch et al. (2012)
 <doi:10.1016/j.jval.2012.05.004>.

Package: r-cran-mail
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mail_1.0-1.ca2004.1_all.deb
Size: 12208
MD5sum: 3f5e3e6a42afc8fb9e7ef4887c548acb
SHA1: 54448fffb204067cca3693d12727ef6d9b99ac43
SHA256: e2b5910bef9a6c5ed468f715e01346ab7c4ca19cdaf2de56cad2b6f9b03023a2
SHA512: 2125a0b9f8c77e66ea600a1a6ee0b5c5a908dd9cff541680d02c80b482e0d416e20a31fb01879d7b328bd699c88c6e73275d925f035f39506d59d7039797720e
Homepage: https://cran.r-project.org/package=mail
Description: CRAN Package 'mail' (Sending Email Notifications from R)
 Easy to use package for sending email notifications with status information
 from R

Package: r-cran-mailchimpr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-mailchimpr_0.1.0-1.ca2004.1_all.deb
Size: 22244
MD5sum: 33a3b721730bdc2d526a9db83fa05f0d
SHA1: 5671570d1a6a2a1b7a39f0df87d9956e030c6e39
SHA256: c1f17405254e1eb1bdc3f1e12f6809844eb434f2ddf6c6be3acf3bc2300627c8
SHA512: 409bb1079d038f1e7dcc904b672382ca55417c3ff51503fc628a2411f21787fd51280dce7366384e66136a61a4ce2b1c228d68622eb4120be0d50b6341392cae
Homepage: https://cran.r-project.org/package=mailchimpR
Description: CRAN Package 'mailchimpR' (Get Mailchimp Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Mailchimp using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-mailmerge
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-commonmark, r-cran-gmailr, r-cran-rstudioapi, r-cran-googledrive, r-cran-rmarkdown, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-fs, r-cran-lifecycle, r-cran-shiny, r-cran-miniui
Suggests: r-cran-spelling, r-cran-withr, r-cran-covr, r-cran-knitr, r-cran-testthat, r-cran-here, r-cran-mockery, r-cran-readr
Filename: pool/dists/focal/main/r-cran-mailmerge_0.2.5-1.ca2004.1_all.deb
Size: 89360
MD5sum: 3953d3b0774e9ce7b9589a83c6468bf4
SHA1: e75fafd4b3249f3d25cdef66c6f2224b77a471ba
SHA256: 46173727f692d7664a3fc31b3ba25b79442eb81debd9a87362eb9d55436c065a
SHA512: 1b0d9d463430e5a505bb66cad2c229abd16a470c14385f8252eac54d44d279a13f5b1951dcf9bb2cdf490b1840204b730f44b5fc2b90bb1edfa6b3063dee25b7
Homepage: https://cran.r-project.org/package=mailmerge
Description: CRAN Package 'mailmerge' (Mail Merge Using R Markdown Documents and 'gmailr')
 Perform a mail merge (mass email) using the message defined in markdown, the
 recipients in a 'csv' file, and gmail as the mailing engine.  With this
 package you can parse markdown documents as the body of email, and the
 'yaml' header to specify the subject line of the email.  Any '{}' braces in
 the email will be encoded with 'glue::glue()'. You can preview the email in
 the RStudio viewer pane, and send (draft) email using 'gmailr'.

Package: r-cran-mailr
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-stringr, r-cran-r.utils, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-mailr_0.8-1.ca2004.1_all.deb
Size: 747268
MD5sum: 94b28ab307e73f6e274e989cfa0d5c39
SHA1: 68cd56e8d0f1e9f8b7a592c386172ed02954c18f
SHA256: 2d86dcba08bff1a8daf4f915158fd40d5158968fbd326593fd08389d1628347b
SHA512: f877bc68f99445492e5c4650907e505ab8f73ab840bfaae7443b1bcd67d02a86ad1b30fb62d977d388527e15f628ee5ad7e86993d920116d649fa7c5931ceba3
Homepage: https://cran.r-project.org/package=mailR
Description: CRAN Package 'mailR' (A Utility to Send Emails from R)
 Interface to Apache Commons Email to send emails from R.

Package: r-cran-mailtor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Filename: pool/dists/focal/main/r-cran-mailtor_0.1.0-1.ca2004.1_all.deb
Size: 12560
MD5sum: 8c437d95fc1fce772fe42980e55a2997
SHA1: 4e90445ca7ef7d79969eae8252f2f89dd2384957
SHA256: a8f295fb42fecf7b365d3751a04d2b9897f3edad33b2513f4afe4b484a548e04
SHA512: 10a00933235c6f0522ac133c21e74d8aacba9fde3e0299c17da4dd7608f1f1c188e066839eaeb5d805eb37b8d9e5a019638cd1656e171812deda5d72351d25af
Homepage: https://cran.r-project.org/package=mailtoR
Description: CRAN Package 'mailtoR' (Creates a Friendly User Interface for Emails Sending in 'shiny')
 Allows the user to generate a friendly user interface for emails sending.
 The user can choose from the most popular free email services ('Gmail',
 'Outlook', 'Yahoo') and his default email application.  The package is a
 wrapper for the 'Mailtoui' 'JavaScript' library.  See
 <https://mailtoui.com/#menu> for more information.

Package: r-cran-mainexistingdatasets
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-glue, r-cran-golem, r-cran-htmltools, r-cran-htmlwidgets, r-cran-magrittr, r-cran-openxlsx, r-cran-pkgload, r-cran-processx, r-cran-rlang, r-cran-sf, r-cran-shiny, r-cran-spdata, r-cran-tidyr, r-cran-tmap, r-cran-tmaptools
Suggests: r-bioc-bioccheck, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mainexistingdatasets_1.0.2-1.ca2004.1_all.deb
Size: 51944
MD5sum: 41feed12e4409b46632ed1a9dcb78ae6
SHA1: 2303536742f8a57a83e0094091c74c5a30b408e2
SHA256: 0b6a49de2046a64431245adc72a157a56a5e3455c72cdd4014f2155fbc73eea0
SHA512: 24ad7b08162432bc1826e14e40dfce96d00502cf04d4c8987b56c34bf080492a776c47bb20d80712d27c87f51ff3e9f01bb67a8b06e43558496641acf042f0e3
Homepage: https://cran.r-project.org/package=MainExistingDatasets
Description: CRAN Package 'MainExistingDatasets' (Main Existing Human Datasets)
 Shiny for Open Science to visualize, share, and inventory the main existing
 human datasets for researchers.

Package: r-cran-majesticr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-urltools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-majesticr_0.1.1-1.ca2004.1_all.deb
Size: 17868
MD5sum: f69fc6c067b9b823bb782e3b35ad1563
SHA1: 8a90db5845c7364dabb74a735ca6537ed4828949
SHA256: e757da3ce3bc61db3d9d09a39b686372a44cb4ea39848bc9505129a188fa1328
SHA512: 799fa153c1b368238f8e6dfe57e83ebed37a076d6fbe81c8793abd718fcd88a777742abc7b61f5cf94a49194714b8d0bc61f3f1414b7d1e40e8fb79986feb100
Homepage: https://cran.r-project.org/package=majesticR
Description: CRAN Package 'majesticR' (R Interface to Access the 'Majestic' API)
 Implements methods for querying backlink data from 'Majestic' using its API
 (<https://developer-support.majestic.com/api/>).  'Majestic' API uses a
 basic authentication with an API key. This package is used in the "Do You
 Need Backlinks for SEO" tutorial <https://remibacha.com/en/backlinks-r/>.

Package: r-cran-majkmeans
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-majkmeans_0.1.0-1.ca2004.1_all.deb
Size: 28368
MD5sum: 2a8e2c62498f6356d1988795ce049086
SHA1: 87999553f3a60a7785857786575cccf8aa28190e
SHA256: 5c7545c7a570781b7580af86d9e0f67ca01453a259cce09ef1f1181b236ccd34
SHA512: f9a10e74c463a52091499e97f989c39cb52c6d913d344b761303a55e7821038ee590e21e789a7ef4141bb5380dda9d21e4610febf290f98d147f204398cf22fa
Homepage: https://cran.r-project.org/package=MajKMeans
Description: CRAN Package 'MajKMeans' (k-Means Algorithm with a Majorization-Minimization Method)
 A hybrid of the K-means algorithm and a Majorization-Minimization method to
 introduce a robust clustering. The reference paper is: Julien Mairal, (2015)
 <doi:10.1137/140957639>. The two most important functions in package
 'MajKMeans' are cluster_km() and cluster_MajKm(). cluster_km() clusters data
 without Majorization-Minimization and cluster_MajKm() clusters data with
 Majorization-Minimization method. Both of these functions calculate the sum
 of squares (SS) of clustering.

Package: r-cran-majminkmeans
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-majminkmeans_0.1.0-1.ca2004.1_all.deb
Size: 33068
MD5sum: 512df76e0543bf57db4c52b9a3c782c2
SHA1: a1c9a934350b00e280a4828880e150ff0f7eb40d
SHA256: 1542a0ee1e6f210dbb5028674c9da943d17aa617a29bf4f6ee52a7063135386c
SHA512: d57fdb9a0e653b04e98bc8fe6705a5c9f31b54c18ef3821989ef4be93828fc7e1575cbfa412593dd1c2261dc4703dfe2c5de961c8db4e532c4895b777b36fd58
Homepage: https://cran.r-project.org/package=MajMinKmeans
Description: CRAN Package 'MajMinKmeans' (k-Means Algorithm with a Majorization-Minimization Method)
 A hybrid of the K-means algorithm and a Majorization-Minimization method to
 introduce a robust clustering. The reference paper is: Julien Mairal, (2015)
 <doi:10.1137/140957639>. The two most important functions in package
 'MajMinKmeans' are cluster_km() and cluster_MajKm(). Cluster_km() clusters
 data without Majorization-Minimization and cluster_MajKm() clusters data
 with Majorization-Minimization method. Both of these functions calculate the
 sum of squares (SS) of clustering. Another useful function is MajMinOptim(),
 which helps to find the optimum values of the Majorization-Minimization
 estimator.

Package: r-cran-makedummies
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-makedummies_1.2.1-1.ca2004.1_all.deb
Size: 17124
MD5sum: cde75bae6bebc4a854f3b7702e56e891
SHA1: de30ad0ae91e6ed16c0757300f733256a661ccd6
SHA256: ca189fb7d83b83ba3cfaea4a6e1974fb46a76625612e1fd81608698fc8ae18ce
SHA512: 17ebbc9f3d823f514a658243e300aef9f5ee0b81f4a30b0c9d84f5db6132a3f1b8562f94fa997eaf8c325b2eb9d5768547dfd0a44ce52cbeceae19839f641dee
Homepage: https://cran.r-project.org/package=makedummies
Description: CRAN Package 'makedummies' (Create Dummy Variables from Categorical Data)
 Create dummy variables from categorical data.  This package can convert
 categorical data (factor and ordered) into dummy variables and handle
 multiple columns simultaneously.  This package enables to select whether a
 dummy variable for base group is included (for principal component
 analysis/factor analysis) or excluded (for regression analysis) by an
 option.  'makedummies' function accepts 'data.frame', 'matrix', and 'tbl'
 (tibble) class (by 'tibble' package).  'matrix' class data is automatically
 converted to 'data.frame' class.

Package: r-cran-makefiler
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-makefiler_1.0-1.ca2004.1_all.deb
Size: 99528
MD5sum: e562fca405a67f8dd2f1522e1a51b903
SHA1: ba5dbb5ffc304ef1a36f0f26df416782c8e189af
SHA256: 83ea65c9d6e9999855f9e84338880c34ae7cd51b33b1c276d8221ef464e7e987
SHA512: 1fafcd47b080b97ecb0dc3dfa07e179eacff8086917eb34fe0f44761b79bad825a29194615bdc22970e3d0442898f65e41b535657696d36040fbcc0bea72e972
Homepage: https://cran.r-project.org/package=MakefileR
Description: CRAN Package 'MakefileR' (Create 'Makefiles' Using R)
 A user-friendly interface for the construction of 'Makefiles'.

Package: r-cran-makeflow
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-makeflow_1.0.2-1.ca2004.1_all.deb
Size: 172420
MD5sum: 343070af1e438af2f5262176fceaedeb
SHA1: 3b132dc329194e93a7f3691472982f69c36fa432
SHA256: 5058e4907f8964ed4141b94c6ab2e486dacf0e844e32352c56327220d578b768
SHA512: 45060f40a16f4ea14319e8ca305021f9e3a60e15d4640cbd01062829252992eb355f0a790c0dfee1b7e86f0058e7f36120ffafa8ba862106e8c3d6b0466d0e6b
Homepage: https://cran.r-project.org/package=makeFlow
Description: CRAN Package 'makeFlow' (Visualizing Sequential Classifications)
 A user-friendly tool for visualizing categorical or group movement.

Package: r-cran-makeit
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-readr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-makeit_1.0.2-1.ca2004.1_all.deb
Size: 95300
MD5sum: 2e90930eb074b79f07d88190475f1473
SHA1: 7160399054509d827c6f37c1548c2185b984c521
SHA256: 535a9adb4a80056c5ae819d7edff074761dff99dd9abafc24c338f3895bbfdd7
SHA512: c914f4ac3dcc5dfa2e68fd2c07df0a88a7a782f1c891bd7cb932135c986c20502a2d390e517613f1f0134841791914c0a29f0b573ba06a21dce2a89e293c2485
Homepage: https://cran.r-project.org/package=makeit
Description: CRAN Package 'makeit' (Run R Scripts if Needed)
 Automation tool to run R scripts if needed, based on last modified time. It
 comes with no package dependencies, organizational overhead, or structural
 requirements. In short: run an R script if underlying files have changed,
 otherwise do nothing.

Package: r-cran-makemyprior
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3885
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-shiny, r-cran-shinyjs, r-cran-shinybs, r-cran-visnetwork, r-cran-rlang, r-cran-mass
Suggests: r-cran-rstan, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-makemyprior_1.2.2-1.ca2004.1_all.deb
Size: 1154692
MD5sum: 92a86fedb8abb3f59a8d7714fffa836c
SHA1: 9a673f489d99be0d422a12831eb56f4877099fdc
SHA256: 2e7369a16a017da75a6ec1760454662c80b9e66f613f2041ca5aaf2d916a741b
SHA512: 914180b222cc062da47ea0e98c2dde6c4c77c54a7958dd09b21cfff5eeadcd88fd8924c6a599a9d11826e88b7b08545e20f500542f5d66a5290032445ae786c8
Homepage: https://cran.r-project.org/package=makemyprior
Description: CRAN Package 'makemyprior' (Intuitive Construction of Joint Priors for Variance Parameters)
 Tool for easy prior construction and visualization. It helps to formulates
 joint prior distributions for variance parameters in latent Gaussian models.
 The resulting prior is robust and can be created in an intuitive way. A
 graphical user interface (GUI) can be used to choose the joint prior, where
 the user can click through the model and select priors. An extensive guide
 is available in the GUI. The package allows for direct inference with the
 specified model and prior. Using a hierarchical variance decomposition, we
 formulate a joint variance prior that takes the whole model structure into
 account. In this way, existing knowledge can intuitively be incorporated at
 the level it applies to. Alternatively, one can use independent variance
 priors for each model components in the latent Gaussian model. Details can
 be found in the accompanying scientific paper: Hem, Fuglstad, Riebler (2024,
 Journal of Statistical Software, <doi:10.18637/jss.v110.i03>).

Package: r-cran-makepalette
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-cluster, r-cran-prismatic
Filename: pool/dists/focal/main/r-cran-makepalette_0.1.2-1.ca2004.1_all.deb
Size: 1104604
MD5sum: 9e9b0e7c250922957e991ef87a00bd4c
SHA1: 964b2ec9142a1e7c57b5c891a64224f3e7a885b7
SHA256: e9a7b695e450c6fcb71cbac3bf6abc8652861de15d11ed793193ec4febf19b8a
SHA512: 61a06fe4fbbaf74c5a93025c1625794776df618065fa2e6a7c9e0e96690d6b53c990ef65885595ad8c9bfe0c9d5683b41cbb91323afe95aaafd3fa79ea7c3af2
Homepage: https://cran.r-project.org/package=makePalette
Description: CRAN Package 'makePalette' (Make Palette)
 Functions that allow you to create your own color palette from an image,
 using mathematical algorithms.

Package: r-cran-makepipe
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-nomnoml, r-cran-r6, r-cran-roxygen2
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-withr, r-cran-rmarkdown, r-cran-webshot2, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-makepipe_0.2.2-1.ca2004.1_all.deb
Size: 353608
MD5sum: 6d8589bb14d6aa97291085fe51125156
SHA1: ae1c99ec1d136fd72d00017ce41ce7403048525d
SHA256: afae0f3759ab3db32f10c9976a35683f6ce305d970c056772f3ce8068a488a04
SHA512: 4f252357c21f8259d81a249d8f88a5153e9e10d9fb9b9b741ddc1d161c574acdc24ebb6e14b636164a9c456f93869e349408c6a6074cc3cf7ebd9c5ce089d19c
Homepage: https://cran.r-project.org/package=makepipe
Description: CRAN Package 'makepipe' (Pipeline Tools Inspired by 'GNU Make')
 A suite of tools for transforming an existing workflow into a
 self-documenting pipeline with very minimal upfront costs. Segments of the
 pipeline are specified in much the same way a 'Make' rule is, by declaring
 an executable recipe (which might be an R script), along with the
 corresponding targets and dependencies. When the entire pipeline is run
 through, only those recipes that need to be executed will be. Meanwhile,
 execution metadata is captured behind the scenes for later inspection.

Package: r-cran-makeproject
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-makeproject_1.0-1.ca2004.1_all.deb
Size: 14644
MD5sum: d2bb74aa907a3dff8519ea2ef4ea1e0f
SHA1: 744f4e6c929008cc9109031af5b30019bb598086
SHA256: 8a0066761ff042afb9900378341f9c926bc04795a443e8cb6d4f616e16ee0d9b
SHA512: 654099f55d8a663a70fc90b452bfff709e229a7c33231c12cb8796a80b4393b51b8697607f39a6b5b81e5ec5fa825e8fc57f62c5279e00d73e37bb6bf66103b1
Homepage: https://cran.r-project.org/package=makeProject
Description: CRAN Package 'makeProject' (Creates an empty package framework for the LCFD format)
 This package creates an empty framework of files and directories for the
 "Load, Clean, Func, Do" structure described by Josh Reich.

Package: r-cran-maketools
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 723
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sys
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maketools_1.3.2-1.ca2004.1_all.deb
Size: 250804
MD5sum: d132fcb453c3ceab7b91d3bd4ce31883
SHA1: f54b3af45278a2d379ccd8d7a29628aec4a49f3e
SHA256: 7f4c353a26a56bc8c61e0b9dfc3d465ed94ab439bb031185a2472f0e85147317
SHA512: 38de3271b8708ba4776140a3c97352732e1dfa2e460ac99c9ae7bddc203de5a28afdfc2124e2a7dc461b8b39243fbf566bdacc6da58be3caba60b1e62355f552
Homepage: https://cran.r-project.org/package=maketools
Description: CRAN Package 'maketools' (Exploring and Testing the Toolchain and System Libraries)
 Helper functions that interface with the system utilities to learn about the
 local build environment. Lets you explore 'make' rules to test the local
 configuration, or query 'pkg-config' to find compiler flags and libs needed
 for building packages with external dependencies. Also contains tools to
 analyze which libraries that a installed R package linked to by inspecting
 output from 'ldd' in combination with information from your distribution
 package manager, e.g. 'rpm' or 'dpkg'.

Package: r-cran-makeunique
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-makeunique_1.0.0-1.ca2004.1_all.deb
Size: 57404
MD5sum: 88420c2afd990c4bc6e8f127aa080791
SHA1: bd785ca358520af1d1c8820dac17f60a04c6fd27
SHA256: 3e38fc2704f49de1b99949e4d8177274d44998332c3ef7d5b97ba6a9162527d6
SHA512: 5bc91f2328fc3e242a0dada64024dba54886f227779aee4c699ff71e8e590fb156a8c120c6010b3e4239ca4887574c8877d27c98c6c28fa3ab8cb47659afe9e9
Homepage: https://cran.r-project.org/package=makeunique
Description: CRAN Package 'makeunique' (Make Character Strings Unique)
 Make all elements of a character vector unique.  Differs from 'make.unique'
 by starting at 1 and allowing users to customise suffix format.

Package: r-cran-makeyourpalette
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1126
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-prismatic
Filename: pool/dists/focal/main/r-cran-makeyourpalette_0.1.3-1.ca2004.1_all.deb
Size: 1101664
MD5sum: b788b50d1592c909781c7763d265d753
SHA1: caf30ee2e55435308f670e8a486d4b1a733c814c
SHA256: 1d3b8fa46696736969ee2910164ad10a67a61ee7a03bd5694aeeafabe609113b
SHA512: 155295c0f3079b993e18938c0646aa036cb5ffcaa91fc043506dcfc646095097d840c8bdeccac12fb2b1d2d01615918119d93773ccc827714e0058a597d76f6a
Homepage: https://cran.r-project.org/package=MakeYourPalette
Description: CRAN Package 'MakeYourPalette' (Make Your Palette)
 Functions that allow you to create your own color palette from an image,
 using the KMeans algorithm.

Package: r-cran-makl
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-auc, r-cran-grplasso
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-makl_1.0.1-1.ca2004.1_all.deb
Size: 30424
MD5sum: 7aff2b9d2427759351222af7ca5c5a05
SHA1: 7b91f88cb0efe44daccefeef997e380c9a74c641
SHA256: 79fd8ea3440fa7a3ddb5c416514cd500252d1216d6ba0b0ece37e55ff6d5371b
SHA512: e0291e51e7ef019fd3bb2c69b546ee2dd85eb4d0f1385be2815f635d121a1ca31a7b415f4eac5d6b06243914b3b358bbb913f931c6307d343030384f45ff6f1d
Homepage: https://cran.r-project.org/package=MAKL
Description: CRAN Package 'MAKL' (Multiple Approximate Kernel Learning (MAKL))
 R package associated with the Multiple Approximate Kernel Learning (MAKL)
 algorithm proposed in <doi:10.1093/bioinformatics/btac241>. The algorithm
 fits multiple approximate kernel learning (MAKL) models that are fast,
 scalable and interpretable.

Package: r-cran-malani
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-malani_1.0-1.ca2004.1_all.deb
Size: 38916
MD5sum: 829c0be9c33be5592cd8e3269cfd51de
SHA1: f633007a3bc5a0e986a2ccfefe6c24e6e45239dc
SHA256: 3dbd13ff517f285a23204e4f271c5214caf4ecdbc6a96ef9b18fd79613aefdbf
SHA512: e18e457e38612f38f924d6d6b3f0c3747de93352812f5362c2a5d903d472f8b5cf71de2518a21996eb58aea7df52cb72ad6c50994f1c0519de7876e83b416dcf
Homepage: https://cran.r-project.org/package=malani
Description: CRAN Package 'malani' (Machine Learning Assisted Network Inference)
 Find dark genes. These genes are often disregarded due to no detected
 mutation or differential expression, but are important in coordinating the
 functionality in cancer networks.

Package: r-cran-malariaatlas
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2363
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-xml2, r-cran-gridextra, r-cran-httr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-sf, r-cran-lifecycle, r-cran-terra, r-cran-tidyterra, r-cran-ows4r, r-cran-future.apply, r-cran-lubridate, r-cran-jsonlite, r-cran-stringr, r-cran-ggnewscale
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-palettetown, r-cran-magrittr, r-cran-tibble, r-cran-rdhs
Filename: pool/dists/focal/main/r-cran-malariaatlas_1.6.4-1.ca2004.1_all.deb
Size: 1797068
MD5sum: 63e9403b6919993b356dc30851d518df
SHA1: e1d6354c352ce54bebfecc58011376194e9a51ee
SHA256: a5ce0989f0704e2d45a4ddaf1dc4f97cb7bef10d31d6a49487a59dcd66b72f0f
SHA512: b5ff6f52b1acf6cc8bfb253509ff04ca239e4b8f844f2d18a7745451c0927c134c938121ad5d4bb58a3d83239ea89a40242f50a7fc5a16069676f3581b0a5848
Homepage: https://cran.r-project.org/package=malariaAtlas
Description: CRAN Package 'malariaAtlas' (An R Interface to Open-Access Malaria Data, Hosted by the'Malaria Atlas Project')
 A suite of tools to allow you to download all publicly available parasite
 rate survey points, mosquito occurrence points and raster surfaces from the
 'Malaria Atlas Project' <https://malariaatlas.org/> servers as well as
 utility functions for plotting the downloaded data.

Package: r-cran-malaytextr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-malaytextr_0.1.3-1.ca2004.1_all.deb
Size: 78656
MD5sum: d4260675bceb3f8ccacfa5959f97c279
SHA1: 16a3e5c441985eed55710a774a6336955c94cb66
SHA256: ea8270c6edbea409d3fe3be8982a55f888eca965b78b4236eedd31a4b153fce5
SHA512: 9e3dc104e80ac2b002b32829272027349f2fb30ed875e35913bd82216d8f6baceb099a83e401fa32a9542585eba8dcdd224f33db6883aa96cc2ae2a63b88836d
Homepage: https://cran.r-project.org/package=malaytextr
Description: CRAN Package 'malaytextr' (Text Mining for Bahasa Malaysia)
 It is designed to work with text written in Bahasa Malaysia. We provide
 functions and data sets that will make working with Bahasa Malaysia text
 much easier.  For word stemming in particular, we will look up the Malay
 words in a dictionary and then proceed to remove "extra suffix" as explained
 in Khan, Rehman Ullah, Fitri Suraya Mohamad, Muh Inam UlHaq, Shahren Ahmad
 Zadi Adruce, Philip Nuli Anding, Sajjad Nawaz Khan, and Abdulrazak Yahya
 Saleh Al-Hababi (2017) <https://ijrest.net/vol-4-issue-12.html> . This
 package includes a dictionary of Malay words that may be used to perform
 word stemming, a dataset of Malay stop words, a dataset of sentiment words
 and a dataset of normalized words.

Package: r-cran-maldicellassay
Architecture: all
Version: 0.4.47-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4942
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-nplr, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-scales, r-cran-maldiquant, r-cran-maldiquantforeign, r-cran-tibble, r-cran-svmisc, r-cran-purrr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-maldicellassay_0.4.47-1.ca2004.1_all.deb
Size: 4510988
MD5sum: 7c9a092bf8ee5099ec989e72c5010d31
SHA1: b4da26cdd321b9196f4289e04b86f138234b4a19
SHA256: 554cbe2b6f42dd2753c9dabd9f5ecdde3cd3358eb25e512671d18f2df2c6df8b
SHA512: 0e9c123f793a65024c1a482a5000a425473ad9ad84aef59e8bee281e13f9bb4876634eec7a358595dfc940093f6c5401de9f890ce9f6905611a7deeacaf94fe5
Homepage: https://cran.r-project.org/package=MALDIcellassay
Description: CRAN Package 'MALDIcellassay' (Automated MALDI Cell Assays Using Dose-Response Curve Fitting)
 Conduct automated cell-based assays using Matrix-Assisted Laser
 Desorption/Ionization (MALDI) methods for high-throughput screening of
 signals responsive to treatments. The package efficiently identifies high
 variance signals and fits dose-response curves to them. Quality metrics such
 as Z', V', log2FC, and CRS are provided for evaluating the potential of
 signals as biomarkers. The methodologies were introduced by Weigt et al.
 (2018) <doi:10.1038/s41598-018-29677-z> and refined by Unger et al. (2021)
 <doi:10.1038/s41596-021-00624-z>.

Package: r-cran-maldipickr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2818
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-maldiquant, r-cran-readbrukerflexdata, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-coop, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maldipickr_1.3.1-1.ca2004.1_all.deb
Size: 1598776
MD5sum: 1277ab8a728e753fbf3bd4fbeeeee983
SHA1: 837b38f1000a67713a9413811870374407a6345a
SHA256: dba23ada03d1b42ebd1d36cfc2ddab75c4f37ea354f78c96adccc0f9363c7ff1
SHA512: cc18a7e94e6d1823e95cefd93d5a1ac60fb736d77119a4b39025632daaa2d7c42df941cfdb365760243b0f91d353203c48616a025fce0ed5c56666b368c63852
Homepage: https://cran.r-project.org/package=maldipickr
Description: CRAN Package 'maldipickr' (Dereplicate and Cherry-Pick Mass Spectrometry Spectra)
 Convenient wrapper functions for the analysis of matrix-assisted laser
 desorption/ionization-time-of-flight (MALDI-TOF) spectra data in order to
 select only representative spectra (also called cherry-pick). The package
 covers the preprocessing and dereplication steps (based on Strejcek,
 Smrhova, Junkova and Uhlik (2018) <doi:10.3389/fmicb.2018.01294>) needed to
 cluster MALDI-TOF spectra before the final cherry-picking step. It enables
 the easy exclusion of spectra and/or clusters to accommodate complex
 cherry-picking strategies. Alternatively, cherry-picking using taxonomic
 identification MALDI-TOF data is made easy with functions to import
 inconsistently formatted reports.

Package: r-cran-maldiquantforeign
Architecture: all
Version: 0.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maldiquant, r-cran-base64enc, r-cran-digest, r-cran-readbrukerflexdata, r-cran-readmzxmldata, r-cran-xml
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rnetcdf
Filename: pool/dists/focal/main/r-cran-maldiquantforeign_0.14.1-1.ca2004.1_all.deb
Size: 375096
MD5sum: 5d56ec459df97a40207f03fb222bb06c
SHA1: 4d97533364e8a7e8f26898585ce5dae8c16b00a8
SHA256: ba895cccaad6ec4b4074c3149807308fc7497643c82fdd3ce62406e52595a8db
SHA512: f60c9f3b378c9d4b22dcf664bb52a78b388b8303823d80021e1144653596ebd075d9f9bccc300e4b49d2eb3def4b48801fc437c13aa7dedca84c800c2b6ce6ed
Homepage: https://cran.r-project.org/package=MALDIquantForeign
Description: CRAN Package 'MALDIquantForeign' (Import/Export Routines for 'MALDIquant')
 Functions for reading (tab, csv, Bruker fid, Ciphergen XML, mzXML, mzML,
 imzML, Analyze 7.5, CDF, mMass MSD) and writing (tab, csv, mMass MSD, mzML,
 imzML) different file formats of mass spectrometry data into/from
 'MALDIquant' objects.

Package: r-cran-maldirppa
Architecture: all
Version: 1.1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2396
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maldiquant, r-cran-signal, r-cran-robustbase, r-cran-lattice, r-cran-waveslim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maldirppa_1.1.0-2-1.ca2004.1_all.deb
Size: 1539944
MD5sum: 11035b14135318a5d10c20b0a70a1b9c
SHA1: cbdd87b73f74e4d35fb5cf0db03e81a80a03fae6
SHA256: 45864a08daf4e6b6e5f7039c66f876b191af4bcf509f0d150d6868719c5aa347
SHA512: 9d82323cbaef61af1e7d35c314bb15c32fb56e40688088aba9905fb1702cec5c7ee8870f1166d41e56283be69bebdd998a14bea8ed2680ad1136be7afc752542
Homepage: https://cran.r-project.org/package=MALDIrppa
Description: CRAN Package 'MALDIrppa' (MALDI Mass Spectrometry Data Robust Pre-Processing and Analysis)
 Provides methods for quality control and robust pre-processing and analysis
 of MALDI mass spectrometry data (Palarea-Albaladejo et al. (2018)
 <doi:10.1093/bioinformatics/btx628>).

Package: r-cran-mall
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-jsonlite, r-cran-ollamar, r-cran-rlang
Suggests: r-cran-dbplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mall_0.1.0-1.ca2004.1_all.deb
Size: 119004
MD5sum: 866cbf379b34c87e92e53fa420514d91
SHA1: 150c71f7656119fb8632c10c6ba06e39c7ed9b3c
SHA256: e24a84e8b264cde7f35a9a003573e31fb7d147708a50554401cea574a64e21b2
SHA512: 70863f3fd4b4441e2d6478603ddf7d5b4266e8e7c19b34bfaa37bacc7147f18a21ae10af535f6550e9f9a89b61a6f1f5b9610944d86758ecdf418502ec388977
Homepage: https://cran.r-project.org/package=mall
Description: CRAN Package 'mall' (Run Multiple Large Language Model Predictions Against a Table,or Vectors)
 Run multiple 'Large Language Model' predictions against a table. The
 predictions run row-wise over a specified column. It works using a one-shot
 prompt, along with the current row's content. The prompt that is used will
 depend of the type of analysis needed.

Package: r-cran-mallet
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4385
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava, r-cran-checkmate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mallet_1.3.0-1.ca2004.1_all.deb
Size: 3959072
MD5sum: dbf301c14515576acac04df3ad47c8df
SHA1: 74e87d864e21ce690e89a7e7a7f9ca1bdc459154
SHA256: 6ab8f23559d52895bf265fa179f510b7fc83d554188fe2a9203d6ebffec87339
SHA512: fd585673d48b2ff0cbe54e21a92d0954185713e9fdfb50a2c931a3eb68ce82b1a9bcea89c43169e1d2ef37c3fd7f09c8fc37735a70c7c1298e1252edb486eb80
Homepage: https://cran.r-project.org/package=mallet
Description: CRAN Package 'mallet' (An R Wrapper for the Java Mallet Topic Modeling Toolkit)
 An R interface for the Java Machine Learning for Language Toolkit (mallet)
 <http://mallet.cs.umass.edu/> to estimate probabilistic topic models, such
 as Latent Dirichlet Allocation. We can use the R package to read textual
 data into mallet from R objects, run the Java implementation of mallet
 directly in R, and extract results as R objects. The Mallet toolkit has many
 functions, this wrapper focuses on the topic modeling sub-package written by
 David Mimno. The package uses the rJava package to connect to a JVM.

Package: r-cran-malvinas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-malvinas_0.1.0-1.ca2004.1_all.deb
Size: 280232
MD5sum: 81238f1a68a938f57d05564653e2b3ae
SHA1: 4339796909dc13d113a1b9c22ab87ac7e162d63f
SHA256: 7315f19bf08c39e864fcc36c71c522c7f4054831b01ffbfe076acf44e2b83bc5
SHA512: 1b15ddf20d6556c4e659ac7abf6ff823aa0a8ea47c668a569db5c41bf9f1c1fdb095cd305d63500fec4505e68e63e5e1f89a54ce0d0a813497d99ed76f564065
Homepage: https://cran.r-project.org/package=malvinas
Description: CRAN Package 'malvinas' (Islas Malvinas, Georgias Del Sur y Sándwich Del Sur)
 Data sets related to the Islas Malvinas /// Sets de datos relacionados a las
 Islas Malvinas - La Nación Argentina ratifica su legítima e imprescriptible
 soberanía sobre las islas Malvinas, Georgias del Sur y Sándwich del Sur y
 los espacios marítimos e insulares correspondientes, por ser parte
 integrante del territorio nacional. La recuperación de dichos territorios y
 el ejercicio pleno de la soberanía, respetando el modo de vida de sus
 habitantes y conforme a los principios del Derecho Internacional,
 constituyen un objetivo permanente e irrenunciable del pueblo argentino.

Package: r-cran-managedcloudprovider
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dockerparallel, r-cran-adagio, r-cran-jsonlite
Suggests: r-cran-markdown, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-readr
Filename: pool/dists/focal/main/r-cran-managedcloudprovider_1.0.0-1.ca2004.1_all.deb
Size: 311516
MD5sum: 8c5ae260cb79142738d0c2a9addd5ca4
SHA1: cabae09eef90b0cd2f1501958a5b4ef48b95fc42
SHA256: 636f69f90c01230a71533b0d998eaeaea32342bea5bf18dcf29c7c9a75549b96
SHA512: 69f3b9730e34a4f1577bb730b454ff4a2653706cce0b7169ad90cdf923ce21631116b5e53583cd3eb5cf1bc35180f004de01ff1c324454307e6eecc617f5b64d
Homepage: https://cran.r-project.org/package=ManagedCloudProvider
Description: CRAN Package 'ManagedCloudProvider' (Providing the Kubernetes-Like Functions for the Non-KubernetesCloud Service)
 Providing the kubernetes-like class 'ManagedCloudProvider' as a child class
 of the 'CloudProvider' class in the 'DockerParallel' package. The class is
 able to manage the cloud instance made by the non-kubernetes cloud service.
 For creating a provider for the non-kubernetes cloud service, the developer
 needs to define a reference class inherited from 'ManagedCloudProvider' and
 define the method for the generics runDockerWorkerContainers(),
 getDockerWorkerStatus() and killDockerWorkerContainers(). For more
 information, please see the vignette in this package and
 <https://CRAN.R-project.org/package=DockerParallel>.

Package: r-cran-managelocalrepo
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-managelocalrepo_0.1.5-1.ca2004.1_all.deb
Size: 23948
MD5sum: 105c576386a2191586cc7cab44add33b
SHA1: 0a461c0ef03747849feeb8d4c99eaa78afb3b0b0
SHA256: 0d01cc7dc44f905d3f491d55ed75103b7e964215837ade553b0e4328959c2476
SHA512: 061dcdd9b54716d4fd5b6b278df6330309c2b3f09f1cb10ebeb45f6ebadd428236379c50c9df8ee0726a65a9cc05a23f807f4a2cb3a2abe7ab92d68831565729
Homepage: https://cran.r-project.org/package=managelocalrepo
Description: CRAN Package 'managelocalrepo' (Manage a CRAN-Style Local Repository)
 This will allow easier management of a CRAN-style repository on local
 networks (i.e. not on CRAN). This might be necessary where hosted packages
 contain intellectual property owned by a corporation.

Package: r-cran-mancie
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mancie_1.4-1.ca2004.1_all.deb
Size: 572540
MD5sum: 47363d273e72b0c7e87420cb5fecdc5d
SHA1: 0a29071c3878abde5df1bd4eae6edce06491c33e
SHA256: 532bafb803ab17499832b09670a097e459dc8e25bd8444223627e93767bde174
SHA512: 46ed488ebea4ef5e79cb2a0e6b41d54fa070aefb90be930de0c878eee88bc159f8bb77dd11fe05f02f3d38a60d630c5bb782e36d3ca49e71c7e7f1f1050d13bf
Homepage: https://cran.r-project.org/package=MANCIE
Description: CRAN Package 'MANCIE' (Matrix Analysis and Normalization by Concordant InformationEnhancement)
 High-dimensional data integration is a critical but difficult problem in
 genomics research because of potential biases from high-throughput
 experiments. We present MANCIE, a computational method for integrating two
 genomic data sets with homogenous dimensions from different sources based on
 a PCA procedure as an approximation to a Bayesian approach.

Package: r-cran-mand
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7420
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-msma, r-cran-oro.nifti, r-cran-oro.dicom, r-cran-imager, r-cran-caret
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mand_2.0-1.ca2004.1_all.deb
Size: 978188
MD5sum: 104454cefca573f5d67df408435f3a0f
SHA1: 3f956d20059ae58a1498e02efa8f29e13e72de95
SHA256: 1a0c245dc559f37976f2ebc7394d4fe6a8321ae1199be8f236cb6482b0bdacf5
SHA512: 972627ec8d3b108842482372a0d1b94f77b1af0e807e654bff7e28be3159cd001809fbc3260a843670bb4343c4a31defa92766c6d75ba94a0260f78b56c1b1f5
Homepage: https://cran.r-project.org/package=mand
Description: CRAN Package 'mand' (Multivariate Analysis for Neuroimaging Data)
 Several functions can be used to analyze neuroimaging data using
 multivariate methods based on the 'msma' package. The functions used in the
 book entitled "Multivariate Analysis for Neuroimaging Data" (2021, ISBN-13:
 978-0367255329) are contained.

Package: r-cran-mandalar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mandalar_0.1.0-1.ca2004.1_all.deb
Size: 48728
MD5sum: bf8a2a74b17ff72530335d84ef0901c5
SHA1: c5b7ce010e3cced268054f852082c36701cf5325
SHA256: 6055f49e63810ed93d4cf3a81d2a9a22634075ea8550cbb036fd519e8432a1f9
SHA512: b4b8b9449c584a77099561009ed3d4024c627501cb714019942b519bd61bd485dee967b66c16cabfe696527431538e8d2fbf8f2a2f070d97c6a65caaded91691
Homepage: https://cran.r-project.org/package=MandalaR
Description: CRAN Package 'MandalaR' (Building Mandalas from Parametric Equations of Classical Curves)
 Provides an algorithm for creating mandalas. From the perspective of classic
 mathematical curves and rigid movements on the plane, the package allows you
 to select curves and produce mandalas from the curve. The algorithm was
 developed based on the book by Alcoforado et. al. entitled "Art, Geometry
 and Mandalas with R" (2022) in press by the USP Open Books Portal.

Package: r-cran-manet
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-combinat, r-cran-igraph, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-manet_2.0-1.ca2004.1_all.deb
Size: 49276
MD5sum: 1148f636edeb84d9eba3cc53588d37b4
SHA1: 9c75c27f2250adf64c2f501331291a8336a3c085
SHA256: 253735adb60201dff419a791f82c43ae432bd6e84069e1175879adda34364ec4
SHA512: ca4f9a7d75c048c8aa96ef80fe5483b753b728920d8af3893f29cf19c63935df98932ddbdcac07dc50659c0c48680ef25a09a6c691c42498e5ea0f04fb08f65c
Homepage: https://cran.r-project.org/package=manet
Description: CRAN Package 'manet' (Multiple Allocation Model for Actor-Event Networks)
 Mixture model with overlapping clusters for binary actor-event data.
 Parameters are estimated in a Bayesian framework. Model and inference are
 described in Ranciati, Vinciotti, Wit (2017) Modelling actor-event network
 data via a mixture model under overlapping clusters. Submitted.

Package: r-cran-mangotraining
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1963
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mangotraining_1.1.1-1.ca2004.1_all.deb
Size: 1880172
MD5sum: facd50539b477fc87649fd231e222033
SHA1: 1804121bc9ca98f3dd815726a6f37c75aeff3440
SHA256: 9fd69aa2ad450a07bbcb39a3eff5f99c8db46a30fc10b1338da217538f5ff8ce
SHA512: 65726bd088bc37bc070b5b627cca7e6d8a928a2408cdef78b84a47c8e57daa94939035cecb0a585af6e2cfebc1d0128f23f4f82df2adbe0ba14ab31f9a531daf
Homepage: https://cran.r-project.org/package=mangoTraining
Description: CRAN Package 'mangoTraining' (Mango Solutions Training Datasets)
 Datasets to be used primarily in conjunction with Mango Solutions training
 materials but also for the book 'SAMS Teach Yourself R in 24 Hours' (ISBN:
 978-0-672-33848-9).  Version 1.0-7 is largely for use with the book;
 however, version 1.1 has a much greater focus on use with training
 materials, whilst retaining compatibility with the book.

Package: r-cran-mangrove
Architecture: all
Version: 1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-kinship2
Filename: pool/dists/focal/main/r-cran-mangrove_1.21-1.ca2004.1_all.deb
Size: 344480
MD5sum: b8746703f04a0a0fe47f085b0dd8b499
SHA1: cfda492cd675b7f0a3eb9f7ca2f7733ddf201311
SHA256: 812dffe25fb3d1c4c8cd2af8055339ad949d887c4159c7abc71425dae50648e3
SHA512: 456fa7f852b82116886fe7009d5fa9dc372bf02165a99f2d5057861ba023f5602c0090a8e390e76402875fedd7f1d1396af952037a0ea416cc72a01cc26fbaf2
Homepage: https://cran.r-project.org/package=Mangrove
Description: CRAN Package 'Mangrove' (Risk Prediction on Trees)
 Methods for performing genetic risk prediction from genotype data.  You can
 use it to perform risk prediction for individuals, or for families with
 missing data.

Package: r-cran-manhattanly
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-plotly, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-manhattanly_0.3.0-1.ca2004.1_all.deb
Size: 438288
MD5sum: 41dae57e18835fb59faf5257c97231a3
SHA1: 31df694afd99a5238b3b08801455b5c3395f882f
SHA256: df90b0e68977750ad6883152004c51a1319f19b0f1093d0a226734d276c7900d
SHA512: 24d5d6b1da556cb76ae71f78e6fe9801ec2c8a1b132408b24c07370b5888eb89be75c4e897ff8c0b3b9cadcfe69e920300a14ed76e3ecbfc72b646f5bf8a575e
Homepage: https://cran.r-project.org/package=manhattanly
Description: CRAN Package 'manhattanly' (Interactive Q-Q and Manhattan Plots Using 'plotly.js')
 Create interactive manhattan, Q-Q and volcano plots that are usable from the
 R console, in 'Dash' apps, in the 'RStudio' viewer pane, in 'R Markdown'
 documents, and in 'Shiny' apps.  Hover the mouse pointer over a point to
 show details or drag a rectangle to zoom. A manhattan plot is a popular
 graphical method for visualizing results from high-dimensional data analysis
 such as a (epi)genome wide association study (GWAS or EWAS), in which
 p-values, Z-scores, test statistics are plotted on a scatter plot against
 their genomic position. Manhattan plots are used for visualizing potential
 regions of interest in the genome that are associated with a phenotype.
 Interactive manhattan plots allow the inspection of specific value (e.g. rs
 number or gene name) by hovering the mouse over a cell, as well as zooming
 into a region of the genome (e.g. a chromosome) by dragging a rectangle
 around the relevant area.  This work is based on the 'qqman' package and the
 'plotly.js' engine. It produces similar manhattan and Q-Q plots as the
 'manhattan' and 'qq' functions in the 'qqman' package, with the advantage of
 including extra annotation information and interactive web-based
 visualizations directly from R.  Once uploaded to a 'plotly' account,
 'plotly' graphs (and the data behind them) can be viewed and modified in a
 web browser.

Package: r-cran-manhplot
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3517
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra
Suggests: r-cran-r.utils, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-manhplot_1.1-1.ca2004.1_all.deb
Size: 872004
MD5sum: 467468136a5e3a1b473af2f21e739988
SHA1: 0411e3b1dbf5150e351fbe31eb58dc058f0748c4
SHA256: e01a5c4813b7b4b717aac735edf18fc29b0998156184618321d91236ede763b5
SHA512: e1fdf988dd8771677a3e26cfd1c0afe71d30f1c92279f1be665bb8a6658e5ad065e395409f23371bdbe36d1b408899d691573e804690afdc8f6347ce8e640688
Homepage: https://cran.r-project.org/package=manhplot
Description: CRAN Package 'manhplot' (The Manhattan++ Plot)
 This plot integrates annotation into a manhattan plot. The plot is
 implemented as a heatmap, which is binned using -log10(p-value) and
 chromosome position. Annotation currently supported is minor allele
 frequency and gene function high impact variants.

Package: r-cran-manifestor
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 801
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-magrittr, r-cran-httr, r-cran-jsonlite, r-cran-functional, r-cran-zoo, r-cran-psych, r-cran-base64enc, r-cran-htmlwidgets, r-cran-dt, r-cran-htmltools, r-cran-purrr, r-cran-readr, r-cran-dplyr, r-cran-tidyselect, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-r.rsp, r-cran-haven, r-cran-readxl, r-cran-devtools, r-cran-formatr, r-cran-highr
Filename: pool/dists/focal/main/r-cran-manifestor_1.6.0-1.ca2004.1_all.deb
Size: 446880
MD5sum: 8781329a71c01a484c8c04be04b06452
SHA1: 7c6bdf8daa802c2bb2fbe6e64d5b2c2125ef9ce0
SHA256: f0a895a0b1d8829f2fe60485c6734bdbdd7c0a181ab6d5192d3f402767098b64
SHA512: 18d9c5b7270b40809bb9f4a1ad80713d6c93a6a6661f2cb976bb215274a35f96394732840fe6512b3dfdf45dd1a6d1a544f1782ceedc8544749684a3a5b3c86e
Homepage: https://cran.r-project.org/package=manifestoR
Description: CRAN Package 'manifestoR' (Access and Process Data and Documents of the Manifesto Project)
 Provides access to coded election programmes from the Manifesto Corpus and
 to the Manifesto Project's Main Dataset and routines to analyse this data.
 The Manifesto Project <https://manifesto-project.wzb.eu> collects and
 analyses election programmes across time and space to measure the political
 preferences of parties. The Manifesto Corpus contains the collected and
 annotated election programmes in the Corpus format of the package 'tm' to
 enable easy use of text processing and text mining functionality. Specific
 functions for scaling of coded political texts are included.

Package: r-cran-manipulate
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-manipulate_1.0.1-1.ca2004.1_all.deb
Size: 44028
MD5sum: 11a25bb937e80aadc98b676df33d6401
SHA1: 82ab85c55230b5c60e1130de0643f3cc73f17501
SHA256: 000e5912f2d705b313676e737ddb8299522c46272ca4005b308f4b209ae427f4
SHA512: accc7ca96497bf84bd0fb1642aeee444a46861a327a6e75e2d04900c23d9f100e0794377c38322301dfc4572f0d07fedda13da6058d86af0440420d6e7cc045d
Homepage: https://cran.r-project.org/package=manipulate
Description: CRAN Package 'manipulate' (Interactive Plots for RStudio)
 Interactive plotting functions for use within RStudio.  The manipulate
 function accepts a plotting expression and a set of controls (e.g. slider,
 picker, checkbox, or button) which are used to dynamically change values
 within the expression. When a value is changed using its corresponding
 control the expression is automatically re-executed and the plot is redrawn.

Package: r-cran-manipulatewidget
Architecture: all
Version: 0.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3944
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-base64enc, r-cran-codetools, r-cran-webshot, r-cran-shinyjs
Suggests: r-cran-dygraphs, r-cran-leaflet, r-cran-plotly, r-cran-xts, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-manipulatewidget_0.11.1-1.ca2004.1_all.deb
Size: 2379572
MD5sum: b1f780ad5ba59a39acd1a4dbebcade85
SHA1: 7e8f435fa64cdebe5bd8567c3bccdc357798cd92
SHA256: 9a6cef30676284bcb814809809755af93f0fcac2b7fa689b2829e175b82acc4c
SHA512: 57889f6c532fdbe6ac996db84703e42da959d98aa725586415ddfd7a58d85f6d0f8e8b027f6c5b81e1894f1940ebc26c42ddd0bc6b44c473a80878d755c7d0b5
Homepage: https://cran.r-project.org/package=manipulateWidget
Description: CRAN Package 'manipulateWidget' (Add Even More Interactivity to Interactive Charts)
 Like package 'manipulate' does for static graphics, this package helps to
 easily add controls like sliders, pickers, checkboxes, etc. that can be used
 to modify the input data or the parameters of an interactive chart created
 with package 'htmlwidgets'.

Package: r-cran-manorm2
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5344
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-locfit, r-cran-scales, r-cran-statmod
Suggests: r-cran-gplots, r-cran-desctools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-manorm2_1.2.2-1.ca2004.1_all.deb
Size: 4033964
MD5sum: e7baa74306510d2c4c88f19eef8cad8a
SHA1: baed6fb5b9a828e3e86898bc0638919d304e3e6a
SHA256: ee5a7eed9148f6bf7d528b695a99128519e116167f7d077295fdbc925d74793a
SHA512: c80ed8fa5ba7d9d06499782f70442592a85460debe4cb05454038e8cd8ec8f19aba3b0b4905c912ec27ff9bf64452a98c81ec62b1f398e3a71b8e45bebab89de
Homepage: https://cran.r-project.org/package=MAnorm2
Description: CRAN Package 'MAnorm2' (Tools for Normalizing and Comparing ChIP-seq Samples)
 Chromatin immunoprecipitation followed by high-throughput sequencing
 (ChIP-seq) is the premier technology for profiling genome-wide localization
 of chromatin-binding proteins, including transcription factors and histones
 with various modifications.  This package provides a robust method for
 normalizing ChIP-seq signals across individual samples or groups of samples.
 It also designs a self-contained system of statistical models for calling
 differential ChIP-seq signals between two or more biological conditions as
 well as for calling hypervariable ChIP-seq signals across samples. Refer to
 Tu et al. (2021) <doi:10.1101/gr.262675.120> and Chen et al. (2022)
 <doi:10.1186/s13059-022-02627-9> for associated statistical details.

Package: r-cran-manova.rm
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1091
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plyr, r-cran-mass, r-cran-matrix, r-cran-magic, r-cran-plotrix, r-cran-ellipse, r-cran-multcomp, r-cran-data.table
Suggests: r-cran-nparld, r-cran-knitr, r-cran-rmarkdown, r-cran-hsaur3, r-cran-tidyr, r-cran-ggplot2, r-cran-gfd, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-manova.rm_0.5.4-1.ca2004.1_all.deb
Size: 508328
MD5sum: 8d7784014886888aa3baf7bd36f383a0
SHA1: 192564d47b0b6367dc533238efe35706c8d0c828
SHA256: e10f188aeca90ff1dfe0421ea5811e9a7cd043b9011722afab665294fa8a5966
SHA512: a84310c8c4e5db5bf336e413998e205d296de61977471b83a98400e6cdd9bf11f5d4cc373060b9d5f9a4d5681bfdb62480776fd2b39ef5ecaaeddc80e02d6b91
Homepage: https://cran.r-project.org/package=MANOVA.RM
Description: CRAN Package 'MANOVA.RM' (Resampling-Based Analysis of Multivariate Data and RepeatedMeasures Designs)
 Implemented are various tests for semi-parametric repeated measures and
 general MANOVA designs that do neither assume multivariate normality nor
 covariance homogeneity, i.e., the procedures are applicable for a wide range
 of general multivariate factorial designs. In addition to asymptotic
 inference methods, novel bootstrap and permutation approaches are
 implemented as well. These provide more accurate results in case of small to
 moderate sample sizes. Furthermore, post-hoc comparisons are provided for
 the multivariate analyses.  Friedrich, S., Konietschke, F. and Pauly, M.
 (2019) <doi:10.32614/RJ-2019-051>.

Package: r-cran-mantaid
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biomart, r-cran-caret, r-cran-keras, r-cran-mlr3tuning, r-cran-mlr3, r-cran-ggplot2, r-cran-data.table, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-ggcorrplot, r-cran-reshape2, r-cran-scutr, r-cran-paradox, r-cran-rcolorbrewer, r-cran-purrr, r-cran-dplyr
Suggests: r-cran-mlr3hyperband, r-cran-mlr3learners, r-cran-ranger, r-cran-rpart, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mantaid_1.0.4-1.ca2004.1_all.deb
Size: 275284
MD5sum: 37bc46603fe577c93b7e106ab54e08d9
SHA1: 9a350618745d20cf2e6f986ccb0f8e62bbb28a31
SHA256: a6bf186627e3f4e5ad6bd8a824538f24e2bdd4d697496ec0e48d63260bfde3e4
SHA512: 71857230e908c6f7aa285c07bc70dfc13eebdd707cd019dec3d940bcccc441b852c9735bc14f9868c3a1149650173fd132dbc5f5993224c1792983aebe56f011
Homepage: https://cran.r-project.org/package=MantaID
Description: CRAN Package 'MantaID' (A Machine-Learning Based Tool to Automate the Identification ofBiological Database IDs)
 The number of biological databases is growing rapidly, but different
 databases use different IDs to refer to the same biological entity. The
 inconsistency in IDs impedes the integration of various types of biological
 data. To resolve the problem, we developed 'MantaID', a data-driven,
 machine-learning based approach that automates identifying IDs on a large
 scale. The 'MantaID' model's prediction accuracy was proven to be 99%, and
 it correctly and effectively predicted 100,000 ID entries within two
 minutes. 'MantaID' supports the discovery and exploitation of ID patterns
 from large quantities of databases. (e.g., up to 542 biological databases).
 An easy-to-use freely available open-source software R package, a
 user-friendly web application, and API were also developed for 'MantaID' to
 improve applicability. To our knowledge, 'MantaID' is the first tool that
 enables an automatic, quick, accurate, and comprehensive identification of
 large quantities of IDs, and can therefore be used as a starting point to
 facilitate the complex assimilation and aggregation of biological data
 across diverse databases.

Package: r-cran-manydata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3092
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-messydates, r-cran-dtplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-remotes, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-readr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggvenndiagram, r-cran-manynet, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-manydata_1.0.3-1.ca2004.1_all.deb
Size: 1570044
MD5sum: a112c1f0cd9e6c4536270e0e43a424e9
SHA1: fcfa9ae8401f4e68516b7c75ce34cde5b976cbef
SHA256: 56e7da780acd5a0e976736787619e6f23cb85d59c4d9ae0f96678b3bec0190ed
SHA512: 69eef9853438bed2d74170a42b1fa0668ab7efedfaa45b936dae7e16ac6c28722ae865f51fa505b53953c889eca7abc8e57783780962826bf10de6d31eeec309
Homepage: https://cran.r-project.org/package=manydata
Description: CRAN Package 'manydata' (A Portal for Global Governance Data)
 This is the core package for the many packages universe.  It includes
 functions to help researchers work with and contribute to event datasets on
 global governance.

Package: r-cran-manydist
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-entropy, r-cran-matrix, r-cran-fastdummies, r-cran-data.table, r-cran-philentropy, r-cran-cluster, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-tibble, r-cran-magrittr, r-cran-fpc, r-cran-recipes, r-cran-rsample, r-cran-rfast, r-cran-readr, r-cran-distances
Suggests: r-cran-palmerpenguins
Filename: pool/dists/focal/main/r-cran-manydist_0.4.4-1.ca2004.1_all.deb
Size: 102816
MD5sum: 92fbe9abae7c17ce236cd619ab3a0c46
SHA1: d9bfcb4c7cfb9a45342f77b6a5be648a0dc1a66e
SHA256: 96acc2502446b3c7fd2ca0e3919e5ad094899767d6cd0c61983f9694052ab451
SHA512: c5b875df7ae795184d8483af11406ca92a9bb78148c66226f271d372dd43dcead336b8c3ed205ca455fcedba9ed26b764b3b212bfd521940566db77f0fed55ec
Homepage: https://cran.r-project.org/package=manydist
Description: CRAN Package 'manydist' (Unbiased Distances for Mixed-Type Data)
 A comprehensive framework for calculating unbiased distances in datasets
 containing mixed-type variables (numerical and categorical). The package
 implements a general formulation that ensures multivariate additivity and
 commensurability, meaning that variables contribute equally to the overall
 distance regardless of their type, scale, or distribution. Supports multiple
 distance measures including Gower's distance, Euclidean distance, Manhattan
 distance, and various categorical variable distances such as simple
 matching, Eskin, occurrence frequency, and association-based distances.
 Provides tools for variable scaling (standard deviation, range, robust
 range, and principal component scaling), and handles both independent and
 association-based category dissimilarities. Implements methods to correct
 for biases that typically arise from different variable types,
 distributions, and number of categories. Particularly useful for cluster
 analysis, data visualization, and other distance-based methods when working
 with mixed data.  Methods based on van de Velden et al. (2024)
 <doi:10.48550/arXiv.2411.00429> "Unbiased mixed variables distance".

Package: r-cran-manyivsnets
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-igraph, r-cran-ggplot2, r-cran-ggraph, r-cran-aer, r-cran-lmtest, r-cran-sandwich, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-pkgdown, r-cran-knitr, r-cran-rtransferentropy, r-cran-tidyr, r-cran-viridis, r-cran-countrycode, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-manyivsnets_0.1.1-1.ca2004.1_all.deb
Size: 162964
MD5sum: 9ebbddf9d8f584f9315117041312aa5d
SHA1: 6fcd361487b30062501253be939b4d1b7a85dbd4
SHA256: f080755fb5edae1cb914fff2cfbb3f41e6bcbd2f80c5136aaaea5a5f7f4b4f16
SHA512: 799d8a5ad2aa8d0b331a8f8a237197dd0268f80e9acf2706653926a2de761b13229552b1c7451e3d7faf170b6cf0b5b8a662b3dc67d2ddb4545ea727945f0414
Homepage: https://cran.r-project.org/package=ManyIVsNets
Description: CRAN Package 'ManyIVsNets' (Environmental Phillips Curve Analysis with Multiple InstrumentalVariables and Networks)
 Comprehensive toolkit for Environmental Phillips Curve analysis featuring
 multidimensional instrumental variable creation, transfer entropy causal
 discovery, network analysis, and state-of-the-art econometric methods.
 Implements geographic, technological, migration, geopolitical, financial,
 and natural risk instruments with robust diagnostics and visualization.
 Provides 24 different instrumental variable approaches with empirical
 validation.  Methods based on Phillips (1958)
 <doi:10.1111/j.1468-0335.1958.tb00003.x>, transfer entropy by Schreiber
 (2000) <doi:10.1103/PhysRevLett.85.461>, and weak instrument tests by Stock
 and Yogo (2005) <doi:10.1017/CBO9780511614491.006>.

Package: r-cran-manymodelr
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3554
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-metrics, r-cran-e1071, r-cran-dplyr, r-cran-ggplot2, r-cran-lme4, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-manymodelr_0.3.9-1.ca2004.1_all.deb
Size: 620224
MD5sum: 0dbbad41adbbc90868515f16c93f1628
SHA1: 5825028afc7112f3afe24b1a1c58fa82e224501b
SHA256: 16d0645f9bc831446035f037f04ca7bf9a18fbda03cd4bfb1dca800b088864d9
SHA512: d49836d4f3d96a06f06d26e3bc1252b1995cc4beb2408a44c5d4b459efea6548f79d7d64433759e4d6ac78ceb7965c4e6a1bb9926060da3e46e92fb70a0d6171
Homepage: https://cran.r-project.org/package=manymodelr
Description: CRAN Package 'manymodelr' (Build and Tune Several Models)
 Frequently one needs a convenient way to build and tune several models in
 one go.The goal is to provide a number of machine learning convenience
 functions. It provides the ability to build, tune and obtain predictions of
 several models in one function. The models are built using functions from
 'caret' with easier to read syntax.  Kuhn(2014)
 <doi:10.48550/arXiv.1405.6974>.

Package: r-cran-manymome.table
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-manymome, r-cran-flextable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-lavaan, r-cran-officer
Filename: pool/dists/focal/main/r-cran-manymome.table_0.4.0-1.ca2004.1_all.deb
Size: 70272
MD5sum: ab4ca013dcc93f6e3b6e1b1ac28adab0
SHA1: f7b488d54661bc1cce62d03d5323dc22e070f4d6
SHA256: 011a5212a6d3b0724ae6efd2a1d0aa7966a505178bb8896062e40a68480cf2e8
SHA512: 3f661a31ea3570d6f3837d8f914d19c7676c691b8494be5d2eb98f075e2b4fd40897d24ba24973c156edf59b40d1117b00e7c5f1a43dfa62025e4f8c05ffeec9
Homepage: https://cran.r-project.org/package=manymome.table
Description: CRAN Package 'manymome.table' (Publication-Ready Tables for 'manymome' Results)
 Converts results from the 'manymome' package, presented in Cheung and Cheung
 (2023) <doi:10.3758/s13428-023-02224-z>, to publication-ready tables.

Package: r-cran-manymome
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3445
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lavaan, r-cran-boot, r-cran-pbapply, r-cran-ggplot2, r-cran-igraph, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lavaan.mi, r-cran-amelia, r-cran-mice, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-manymome_0.2.9-1.ca2004.1_all.deb
Size: 2831680
MD5sum: 93361ad03479d10dd64729b60aa886d7
SHA1: 1d28ba39c9729a05d1ee15f9ea515bffbd92bf8c
SHA256: b7c3e8c5df24bea1f6a02247a41f2a5e9a913e518cab5237419e6316ce0268a9
SHA512: 38f1c85926a3b4599795ffc5b10b5b54e6a3999b89da371a776bab70dddb8cf35b68895316a0891e3cbfff81bfabe813e52e38be5a46b3d3284073c06b74b7fc
Homepage: https://cran.r-project.org/package=manymome
Description: CRAN Package 'manymome' (Mediation, Moderation and Moderated-Mediation After ModelFitting)
 Computes indirect effects, conditional effects, and conditional indirect
 effects in a structural equation model or path model after model fitting,
 with no need to define any user parameters or label any paths in the model
 syntax, using the approach presented in Cheung and Cheung (2024)
 <doi:10.3758/s13428-023-02224-z>. Can also form bootstrap confidence
 intervals by doing bootstrapping only once and reusing the bootstrap
 estimates in all subsequent computations. Supports bootstrap confidence
 intervals for standardized (partially or completely) indirect effects,
 conditional effects, and conditional indirect effects as described in Cheung
 (2009) <doi:10.3758/BRM.41.2.425> and Cheung, Cheung, Lau, Hui, and Vong
 (2022) <doi:10.1037/hea0001188>. Model fitting can be done by structural
 equation modeling using lavaan() or regression using lm().

Package: r-cran-manynet
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4268
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-network, r-cran-pillar, r-cran-tidygraph
Suggests: r-cran-biocmanager, r-cran-concaveman, r-cran-gganimate, r-cran-ggdendro, r-cran-ggforce, r-cran-gifski, r-cran-graphlayouts, r-cran-knitr, r-cran-learnr, r-cran-netdiffuser, r-cran-patchwork, r-cran-readxl, r-cran-rmarkdown, r-cran-rsiena, r-cran-sna, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-manynet_1.5.1-1.ca2004.1_all.deb
Size: 2290084
MD5sum: 160a95bdb40c6e01b17d66db3bbb8057
SHA1: 6d6df1e8b1d36a4091bf945bdcb2be3a95c5e458
SHA256: 76ec1c7ca9c78f26bb89995a70be962d87e186dc05df997014a83728de949bb8
SHA512: cde98bd9e996a6e7ea00ce417c9cd79cfac49f2beaa6b54669eeeab879fd39beb183023647cea218393c324a04253eb814324e7579d4ed9a8fac5481ec430f96
Homepage: https://cran.r-project.org/package=manynet
Description: CRAN Package 'manynet' (Many Ways to Make, Modify, Map, Mark, and Measure MyriadNetworks)
 Many tools for making, modifying, mapping, marking, measuring, and motifs
 and memberships of many different types of networks.  All functions operate
 with matrices, edge lists, and 'igraph', 'network', and 'tidygraph' objects,
 and on one-mode, two-mode (bipartite), and sometimes three-mode networks.
 The package includes functions for importing and exporting, creating and
 generating networks, modifying networks and node and tie attributes, and
 describing and visualizing networks with sensible defaults.

Package: r-cran-manytests
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-manytests_1.2-1.ca2004.1_all.deb
Size: 23880
MD5sum: fdb1a8154bd28f1562065fd13f1ddfe5
SHA1: a055830940aa5e01026e01e9f8301e581863a6d9
SHA256: 5baa63ce910e51418636814cdc5921b4a51940c797762d5808e4c58a90a4be5b
SHA512: 9e99b21c32f768cfe69c5bea4dce316c135346bac3fd73d34e7485c3030e45c8728a507abcb1aeb0cd8d010d67f03f7b47427a91112ec57b906d733bf08a670b
Homepage: https://cran.r-project.org/package=ManyTests
Description: CRAN Package 'ManyTests' (Multiple Testing Procedures of Cox (2011) and Wong and Cox(2007))
 Performs the multiple testing procedures of Cox (2011)
 <doi:10.5170/CERN-2011-006> and Wong and Cox (2007)
 <doi:10.1080/02664760701240014>.

Package: r-cran-maoea
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-nsga2r, r-cran-lhs, r-cran-nnet, r-cran-stringr, r-cran-randtoolbox, r-cran-e1071, r-cran-mass, r-cran-gtools, r-cran-pracma
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maoea_0.6.2-1.ca2004.1_all.deb
Size: 188488
MD5sum: 1ee28725b077528028c78630fe5ebae5
SHA1: fa3a9547f22bc1334e617f9b37d08e5c11a485f8
SHA256: 5fdb377a7011f66db4f372ab3c0fbe45fa5b21304100a3a64ee4b5577f0fa015
SHA512: b02fe5b5b8ade9664e7075cd1878cb44049424deeafd79f9fc25c8be4417ce39cc05113bf47060e21b7b57b80070a1f7ffaef1a1162170959e439782fa7b1c31
Homepage: https://cran.r-project.org/package=MaOEA
Description: CRAN Package 'MaOEA' (Many Objective Evolutionary Algorithm)
 A set of evolutionary algorithms to solve many-objective optimization.
 Hybridization between the algorithms are also facilitated. Available
 algorithms are: 'SMS-EMOA' <doi:10.1016/j.ejor.2006.08.008> 'NSGA-III'
 <doi:10.1109/TEVC.2013.2281535> 'MO-CMA-ES' <doi:10.1145/1830483.1830573>
 The following many-objective benchmark problems are also provided:
 'DTLZ1'-'DTLZ4' from Deb, et al. (2001) <doi:10.1007/1-84628-137-7_6> and
 'WFG4'-'WFG9' from Huband, et al. (2005) <doi:10.1109/TEVC.2005.861417>.

Package: r-cran-map2ncbi
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rentrez
Filename: pool/dists/focal/main/r-cran-map2ncbi_1.5-1.ca2004.1_all.deb
Size: 84788
MD5sum: b604a6051bffb8bedf33f0783a6aab97
SHA1: cc6bb817b814a2cc213bd0f8dbb2e1d92481e7c1
SHA256: ce51e6a292931ff36e7a24880d6c512fb44aca328a972941bc2bbe79985945ba
SHA512: 667547757661f7826a151663d992a1a1ee13c66c8b8fbb99a6cc9ca8bd175630c1cd7de3c0832831be77314c188e0493afd18a0cff771a86ce85dfd0d5361263
Homepage: https://cran.r-project.org/package=Map2NCBI
Description: CRAN Package 'Map2NCBI' (Mapping Markers to the Nearest Genomic Feature)
 Allows the user to generate a list of features (gene, pseudo, RNA, CDS,
 and/or UTR) directly from NCBI database for any species with a current build
 available. Option to save downloaded and formatted files is available, and
 the user can prioritize the feature list based on type and assembly builds
 present in the current build used. The user can then use the list of
 features generated or provide a list to map a set of markers (designed for
 SNP markers with a single base pair position available) to the closest
 feature based on the map build. This function does require map positions of
 the markers to be provided and the positions should be based on the build
 being queried through NCBI.

Package: r-cran-map
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexmix, r-cran-matrix, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-proc, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-map_1.0.0-1.ca2004.1_all.deb
Size: 98776
MD5sum: 8dab729de9619908b16f12046690fb84
SHA1: 612efdfbd8e1d52069c5d6221166e00b4e66ef1c
SHA256: ea0c9794fd35d3a4f7a0522a78bd9bbacebd70e56658db4c0ee7b5c5f5949b0e
SHA512: 1ffa83c3eac9b4dc979005bd809825bce4517bb266e7374f5b674fa04165f57cc5fc829e56a37fb987d88ba07821836ee7f416968235ff5f9d6c5a544fdfde66
Homepage: https://cran.r-project.org/package=MAP
Description: CRAN Package 'MAP' (Multimodal Automated Phenotyping)
 Electronic health records (EHR) linked with biorepositories are a powerful
 platform for translational studies. A major bottleneck exists in the ability
 to phenotype patients accurately and efficiently.  Towards that end, we
 developed an automated high-throughput phenotyping method integrating
 International Classification of Diseases (ICD) codes and narrative data
 extracted using natural language processing (NLP). Specifically, our
 proposed method, called MAP (Map Automated Phenotyping algorithm), fits an
 ensemble of latent mixture models on aggregated ICD and NLP counts along
 with healthcare utilization. The MAP algorithm yields a predicted
 probability of phenotype for each patient and a threshold for classifying
 subjects with phenotype yes/no (See Katherine P. Liao, et al. (2019)
 <doi:10.1093/jamia/ocz066>.).

Package: r-cran-mapa
Architecture: all
Version: 2.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-forecast, r-cran-rcolorbrewer, r-cran-smooth
Filename: pool/dists/focal/main/r-cran-mapa_2.0.7-1.ca2004.1_all.deb
Size: 111036
MD5sum: cfd1d092e94aa1fb2d8436b07316235e
SHA1: d8acd5132c55cab81abe95e63c8e5d0fe0bd611f
SHA256: b2a46774c7c754a2a1d235f439b97525f16a48f549d3fb18c87c7481778daeb0
SHA512: d4de4a0e1201482c79851e7b1d4832c96bec02432b2cbc1be10c1263b663fb2fb25a92cfb10c2f5b81f038cd34afe755b3bad23d933b722a07771e1024979509
Homepage: https://cran.r-project.org/package=MAPA
Description: CRAN Package 'MAPA' (Multiple Aggregation Prediction Algorithm)
 Functions and wrappers for using the Multiple Aggregation Prediction
 Algorithm (MAPA) for time series forecasting. MAPA models and forecasts time
 series at multiple temporal aggregation levels, thus strengthening and
 attenuating the various time series components for better holistic
 estimation of its structure. For details see Kourentzes et al. (2014)
 <doi:10.1016/j.ijforecast.2013.09.006>.

Package: r-cran-mapaccuracy
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mapaccuracy_0.1.2-1.ca2004.1_all.deb
Size: 40440
MD5sum: 4f7f5e8168f68e6b017066c4aeb9d268
SHA1: fd8cac5114b9225ccdc1a8faedceaf911758e427
SHA256: c2a6923bf8291ef2b4abc376973fe91a7fa6f33f8fe4114a3bf1b8c3acf24571
SHA512: 3aead4a2be1d9715f209229f7e6fad6340539fd415efe4361071d8b7e306953a1ff4214bf6daaff953d5676b90485e792a35f1c28f37b1535632682c6262ecd9
Homepage: https://cran.r-project.org/package=mapaccuracy
Description: CRAN Package 'mapaccuracy' (Unbiased Thematic Map Accuracy and Area)
 Unbiased estimators of overall and per-class thematic map accuracy and area
 published in Olofsson et al. (2014) <doi:10.1016/j.rse.2014.02.015> and
 Stehman (2014) <doi:10.1080/01431161.2014.930207>.

Package: r-cran-mapbayr
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-mrgsolve, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-minqa, r-cran-scales, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-mapbayr_0.10.0-1.ca2004.1_all.deb
Size: 287308
MD5sum: 882aac12e7c3cd19c9f962f53753a13a
SHA1: 2effe25ac342a46c3c28649e6096e23dffe51c36
SHA256: 4e7285b31305fc92cfc4f0ddd53a6bd47762116b1c848e5da88f857f39b42074
SHA512: 6e2ef027c794ec4d9d07416cea1a3f18fd3bffdb44a1c0b6c509eb6cb32a4fd37f6f8f4a20dd4986f50b6954ab9a8c4c18182fcc03b9c5d153133e050f0c28e5
Homepage: https://cran.r-project.org/package=mapbayr
Description: CRAN Package 'mapbayr' (MAP-Bayesian Estimation of PK Parameters)
 Performs maximum a posteriori Bayesian estimation of individual
 pharmacokinetic parameters from a model defined in 'mrgsolve', typically for
 model-based therapeutic drug monitoring. Internally computes an objective
 function value from model and data, performs optimization and returns
 predictions in a convenient format. The performance of the package was
 described by Le Louedec et al (2021) <doi:10.1002/psp4.12689>.

Package: r-cran-mapboxapi
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-sf, r-cran-jsonlite, r-cran-purrr, r-cran-curl, r-cran-dplyr, r-cran-tidyr, r-cran-aws.s3, r-cran-stringi, r-cran-slippymath, r-cran-protolite, r-cran-rlang, r-cran-geojsonsf, r-cran-magick, r-cran-leaflet, r-cran-units, r-cran-raster, r-cran-png, r-cran-jpeg, r-cran-htmltools
Suggests: r-cran-ggspatial, r-cran-mapdeck, r-cran-tigris, r-cran-tidycensus, r-cran-tmap, r-cran-mapboxer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapboxapi_0.6.2-1.ca2004.1_all.deb
Size: 259252
MD5sum: 1c93a2d208ec09ebdf3647ec28710fc5
SHA1: 28069104e251e1b50a9bf2d0cbd7e90b032f3e23
SHA256: e187cc1b6ad58b008e604b28a3dcc319e234f4e01a21d84ca1695fda71c2e424
SHA512: 2593aff20c172b0e7fd97f83ce8443f43e46e85036798f6a7314f0b3a34dc9096a7a78589099f3c2501078f34f46e96f54ab4c99a3d79bbdb144b26fc71822c0
Homepage: https://cran.r-project.org/package=mapboxapi
Description: CRAN Package 'mapboxapi' (R Interface to 'Mapbox' Web Services)
 Includes support for 'Mapbox' Navigation APIs, including directions,
 isochrones, and route optimization; the Search API for forward and reverse
 geocoding; the Maps API for interacting with 'Mapbox' vector tilesets and
 visualizing 'Mapbox' maps in R; and 'Mapbox Tiling Service' and 'tippecanoe'
 for generating map tiles.  See <https://docs.mapbox.com/api/> for more
 information about the 'Mapbox' APIs.

Package: r-cran-mapboxer
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1461
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-htmlwidgets, r-cran-htmltools, r-cran-yaml, r-cran-purrr, r-cran-geojsonsf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-mapboxer_0.4.0-1.ca2004.1_all.deb
Size: 687264
MD5sum: 13564f0796a61adda3f7869dd2f53dd2
SHA1: 9b6346fcd4bae64f814f35a2013850fc3553059e
SHA256: 11c9c91706dab89f53ba39359c22098cf95ce257578e814b7705af67790cc047
SHA512: a8cf4826b4fa651a1ed59111b50581f6a75c8d2afd6c11570764201f5bd2a69fde2b0de4a4ca69f733396197c584f1f8b6bfbcd65647aef87ed5b8b8d62422ad
Homepage: https://cran.r-project.org/package=mapboxer
Description: CRAN Package 'mapboxer' (An R Interface to 'Mapbox GL JS')
 Makes 'Mapbox GL JS' <https://docs.mapbox.com/mapbox-gl-js/api/>, an open
 source JavaScript library that uses WebGL to render interactive maps,
 available within R via the 'htmlwidgets' package. Visualizations can be used
 from the R console, in R Markdown documents and in Shiny apps.

Package: r-cran-mapcan
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4951
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mapcan_0.0.1-1.ca2004.1_all.deb
Size: 3981396
MD5sum: 70da6bb9416527fa51d14c3d9232b00a
SHA1: 03038e15ad4c85c56321cfc07cd67ad80be9408b
SHA256: 53e7d6a0f8ef25853083aaa7ec864c69a7bb4ac7fb83c833372096413ff4b7d7
SHA512: 2980b494ffa8b0e9028dc3d65621b2e67a5b67167af8c119795933ba0b9d12065d45cfd175fda54ae7223e61b19c5fe3bd11dac66be43fa99b816064c45c2b86
Homepage: https://cran.r-project.org/package=mapcan
Description: CRAN Package 'mapcan' (Tools for Plotting Canadian Choropleth Maps and ChoroplethAlternatives)
 A variety of functions that make it easy to plot standard choropleth maps as
 well as choropleth alternatives in 'ggplot2'.

Package: r-cran-mapchina
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4386
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-showtext
Filename: pool/dists/focal/main/r-cran-mapchina_0.1.0-1.ca2004.1_all.deb
Size: 4368996
MD5sum: 639dfe16de22946a114b9155e78acd36
SHA1: 69666cb7d65f619c83a45e049b0882cdedccbcdf
SHA256: 3a7bfe1fd2ba228ff4b392a0cb043bf067dc0dec0413e04f53886fdcfc58537a
SHA512: bba430624151256364c24fc3d000d84473861c84ea4ca21561a999585398d46c03c53ac210f269103f1d0c8dcbcf3e1303e5e00bab73ac0893846004f442f73e
Homepage: https://cran.r-project.org/package=mapchina
Description: CRAN Package 'mapchina' (China Administrative Divisions Geospatial Shapefile Data)
 Geospatial shapefile data of China administrative divisions to the
 county/district-level.

Package: r-cran-mapctools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5038
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyselect, r-cran-fastdummies, r-cran-stringr, r-cran-rlang, r-cran-tidyr, r-cran-ggplot2, r-cran-viridis, r-cran-scales, r-cran-purrr, r-cran-gridextra, r-cran-ggpubr, r-cran-tibble, r-cran-survey
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mapctools_0.1.0-1.ca2004.1_all.deb
Size: 4721708
MD5sum: c1cb2163616cceb90ee61f952f8bca37
SHA1: ee8ade814f91e7feffc055d8730f6b7deecd2c27
SHA256: 096b4942902b705fb40fadb540bf2ce0ef90949e472c626358d8c7d4f1d87c0d
SHA512: 9ab61fa7418adb581f1a3f2c74b7c5cf480d059fb198173057dd0412d913aeae5995da44c108e55e702bbcd15467132b0195db0be0cd0e5a3ed3824c1c718d96
Homepage: https://cran.r-project.org/package=MAPCtools
Description: CRAN Package 'MAPCtools' (Multivariate Age-Period-Cohort (MAPC) Modeling for Health Data)
 Bayesian multivariate age-period-cohort (MAPC) models for analyzing health
 data, with support for model fitting, visualization, stratification, and
 model comparison. Inference focuses on identifiable cross-strata
 differences, as described by Riebler and Held (2010)
 <doi:10.1093/biostatistics/kxp037>. Methods for handling complex survey data
 via the 'survey' package are included, as described in Mercer et al. (2014)
 <doi:10.1016/j.spasta.2013.12.001>.

Package: r-cran-mapedit
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-dt, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-leafem, r-cran-leaflet, r-cran-leaflet.extras, r-cran-leafpm, r-cran-leafpop, r-cran-mapview, r-cran-miniui, r-cran-raster, r-cran-rstudioapi, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-tmaptools, r-cran-shinywidgets
Suggests: r-cran-crayon, r-cran-sp
Filename: pool/dists/focal/main/r-cran-mapedit_0.7.0-1.ca2004.1_all.deb
Size: 165416
MD5sum: 65264772093de42ca2c680ac893a6a66
SHA1: 806e2211564456f57a0522c97ef0fc50a5145370
SHA256: 9338c9903f6b71b072cc0424b11fc964d97a745278808cb9682ce675d8951865
SHA512: 50b4f22349c5b3363255dab1971771b4d5c40a03d3055a3af6549bc00cedca027bacc94170d8f10d9cab47600986b8a452c73cf3ac5f12cd114396186192e106
Homepage: https://cran.r-project.org/package=mapedit
Description: CRAN Package 'mapedit' (Interactive Editing of Spatial Data in R)
 Suite of interactive functions and helpers for selecting and editing
 geospatial data.

Package: r-cran-mapgam
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-gam, r-cran-survival, r-cran-sf, r-cran-colorspace, r-cran-pbsmapping
Suggests: r-cran-maps, r-cran-mapproj
Filename: pool/dists/focal/main/r-cran-mapgam_1.3-1.ca2004.1_all.deb
Size: 1555492
MD5sum: c70e9595109401d03c6139e7a2c798b3
SHA1: 00236be178f7005b4172c33352b22792f2721e54
SHA256: 13c78651ed72c0c6e29c44b081f79328e75027cc6a8ebbfb81629ce3a31bbfb6
SHA512: 460b696d93102dc18d73b00cad384ce5247b7bd12fc03e72d3a4f4cf57bf0d7dad7b64182e1ce4fb9a7bd8fdca49cd8be83c2d2cdf9890025c8ae905504152b4
Homepage: https://cran.r-project.org/package=MapGAM
Description: CRAN Package 'MapGAM' (Mapping Smoothed Effect Estimates from Individual-Level Data)
 Contains functions for mapping odds ratios, hazard ratios, or other effect
 estimates using individual-level data such as case-control study data, using
 generalized additive models (GAMs) or Cox models for smoothing with a
 two-dimensional predictor (e.g., geolocation or exposure to chemical
 mixtures) while adjusting linearly for confounding variables, using methods
 described by Kelsall and Diggle (1998), Webster at al. (2006), and Bai et
 al. (2020).  Includes convenient functions for mapping point estimates and
 confidence intervals, efficient control sampling, and permutation tests for
 the null hypothesis that the two-dimensional predictor is not associated
 with the outcome variable (adjusting for confounders).

Package: r-cran-mapgl
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2554
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-htmlwidgets, r-cran-geojsonsf, r-cran-sf, r-cran-rlang, r-cran-htmltools, r-cran-base64enc, r-cran-terra, r-cran-classint, r-cran-shiny, r-cran-viridislite
Suggests: r-cran-mapboxapi, r-cran-usethis, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-mapgl_0.3-1.ca2004.1_all.deb
Size: 801156
MD5sum: 09db34ac68f4d72305ae45e7e8fa401f
SHA1: 2d8f124339f54e316ac5e858dbab358575336339
SHA256: 6bb30ba8eb032ab38b430b665dd297384ebd3e5c0c1651c94c08e4d58fc7d07f
SHA512: 6b80a9f5be303826b83eb7f6b52b01c58fa21d997f32ab960505b6aa2cedec5b291c325bfb493d0b11f002dd63dc7fa0ce77fac1809396bcc906b9bfaa23868a
Homepage: https://cran.r-project.org/package=mapgl
Description: CRAN Package 'mapgl' (Interactive Maps with 'Mapbox GL JS' and 'MapLibre GL JS')
 Provides an interface to the 'Mapbox GL JS'
 (<https://docs.mapbox.com/mapbox-gl-js/guides>) and the 'MapLibre GL JS'
 (<https://maplibre.org/maplibre-gl-js/docs/>) interactive mapping libraries
 to help users create custom interactive maps in R.  Users can create
 interactive globe visualizations; layer 'sf' objects to create filled maps,
 circle maps, 'heatmaps', and three-dimensional graphics; and customize map
 styles and views.  The package also includes utilities to use 'Mapbox' and
 'MapLibre' maps in 'Shiny' web applications.

Package: r-cran-mapindia
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1652
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mapindiatools, r-cran-rlang, r-cran-sf, r-cran-vdiffr
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapindia_1.0.1-1.ca2004.1_all.deb
Size: 1447856
MD5sum: 975c81efd1fd337626a86b08a530eedd
SHA1: efeadb2c80fef57312e5cb7358b3e26708f90489
SHA256: 9fcc2896f667b1acc4300f5e20c6d211e233a989d61d4bbac87d3edc6ddb76ea
SHA512: d8771984acd699eb5b8a18dda77f720e57f0a7bce964f5bd3e48e2f7b992e232e00ee2536935cab5214e39e75a30909f21da801a7657d755ef3557a8dfff0aca
Homepage: https://cran.r-project.org/package=mapindia
Description: CRAN Package 'mapindia' (Plot Map of the Indian Subcontinent)
 Get map data frames for the Indian subcontinent with different region levels
 (e.g., district, state). The package also offers convenience functions for
 plotting choropleths, visualizing spatial data, and handling state/district
 codes.

Package: r-cran-mapindiatools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapindiatools_1.0.1-1.ca2004.1_all.deb
Size: 8281576
MD5sum: ba51aa43b4cef62323199b8a4f179454
SHA1: 82d640fd9e5714a151a5dffc4baa368a34533068
SHA256: a53bf148e0405db48455b5278e68b0b4d448fa269dbb06665fc048de1fcd5921
SHA512: 287d09d96749f63f368a3239557eeffb7c62c6a58b1728b14a03b303e143259ed720fcb4c320cfea91e3e73cc325e200f8e82680d6ae4eeea4da75cb2ab7f559
Homepage: https://cran.r-project.org/package=mapindiatools
Description: CRAN Package 'mapindiatools' (Mapping Data for 'mapindia' Package)
 Provides a container for data used by the 'mapindia' package.  The data used
 by 'mapindia' has been extracted into this package so that the file size of
 the 'mapindia' package can be reduced considerably. The data in this package
 will be updated when latest data is available.

Package: r-cran-mapinguari
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1514
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-raster, r-cran-rlang, r-cran-stringr, r-cran-testthat
Suggests: r-cran-geosphere, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-mapinguari_2.0.1-1.ca2004.1_all.deb
Size: 1380924
MD5sum: 3b9352e7cab5b9c00af8a301ba6e87e2
SHA1: 025caeccfab2fd7bbb8f4f02714c785c9bc6cea1
SHA256: 85c90d6642bd8bafea31be91502dfb4044ad1aaeb58364f5c1305c5f5a153542
SHA512: 80d32566681efffe0a650f7c45aaba2ffe7be641c485432ff88b41224bd977e385a3144794c184d51c5742a915c6db034f4b6c6d307123537fd857e6b540b62b
Homepage: https://cran.r-project.org/package=Mapinguari
Description: CRAN Package 'Mapinguari' (Process-Based Biogeographical Analysis)
 Facilitates the incorporation of biological processes in biogeographical
 analyses. It offers conveniences in fitting, comparing and extrapolating
 models of biological processes such as physiology and phenology. These
 spatial extrapolations can be informative by themselves, but also complement
 traditional correlative species distribution models, by mixing environmental
 and process-based predictors. Caetano et al (2020) <doi:10.1111/oik.07123>.

Package: r-cran-mapiso
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2346
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-isoband
Suggests: r-cran-covr, r-cran-mapsf, r-cran-terra, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-mapiso_0.3.0-1.ca2004.1_all.deb
Size: 696200
MD5sum: 7f1e3ea9ef7244035fcbd48c70b8c7d6
SHA1: 89f89407ae0ce8b9631ae2e9a2f2640c35e41fad
SHA256: 54b99a28bde43fa478485508560ca6a5078d0313a6efd7e677032044e398afc5
SHA512: 65b5919e363af6de487325148ca0c138b1588f6de7de6b010eb855ad3b9e4c0b03bb2dab9ffb587c58672177820c1070bc389374a530d9d6bec5871a418b97b6
Homepage: https://cran.r-project.org/package=mapiso
Description: CRAN Package 'mapiso' (Create Contour Polygons from Regular Grids)
 Regularly spaced grids containing continuous data are transformed to contour
 polygons. A grid can be defined by a data.frame (x, y, value), an 'sf'
 object or a raster from 'terra'.

Package: r-cran-maple
Architecture: all
Version: 0.99.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spruce, r-cran-seurat, r-cran-dbarts, r-cran-ggplot2, r-cran-dplyr, r-cran-ggalluvial, r-cran-plotly, r-cran-shiny, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-maple_0.99.5-1.ca2004.1_all.deb
Size: 53452
MD5sum: d0f653c4ec685ac2f1be6569919237fa
SHA1: 675e5be84be71a3cf63f277c62c711e02072c266
SHA256: 89f804954f66ad073e5f67fee9795250181079a52834c685ad8611bc90721843
SHA512: d8ed66395e2d9266807fe6cb2de1383c92f0419b63e0e1594f819e4fa1de6e263969c028c95eeaedf5e198d181a002cd0836c05164f6a5b9bdb11651a5034210
Homepage: https://cran.r-project.org/package=maple
Description: CRAN Package 'maple' (Bayesian Analysis of Multi-Sample Spatial TranscriptomicsExperiments)
 Allows for robust probabilistic analysis of multi-sample spatial
 transcriptomics experiments (Allen et. al, 2021
 <doi:10.1101/2021.06.23.449615>).

Package: r-cran-maplegend
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-maplegend_0.3.0-1.ca2004.1_all.deb
Size: 135772
MD5sum: b82ca4abb74cae00ff625716c603d6c2
SHA1: c1da0d16c77faaf00f29b0f097c055351d41b642
SHA256: 9dfcca7d445621069877cdd44da20745701855e3c35c7001d48d76ea6449523d
SHA512: ed0f1e7c8d9f19ad33fdac4bbeabcd302811fa161745e6705787f76a11d5eb54fbc9209540be379a7d6d95af749248bf8825426becc1b21fbe9842dbce5eb6cc
Homepage: https://cran.r-project.org/package=maplegend
Description: CRAN Package 'maplegend' (Legends for Maps)
 Create legends for maps and other graphics. Thematic maps need to be
 accompanied by legible legends to be fully comprehensible. This package
 offers a wide range of legends useful for cartography, some of which may
 also be useful for other types of graphics.

Package: r-cran-mapme.biodiversity
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2907
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-sf, r-cran-terra, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-exactextractr, r-cran-future, r-cran-knitr, r-cran-landscapemetrics, r-cran-progressr, r-cran-rmarkdown, r-cran-rstac, r-cran-rvest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapme.biodiversity_0.9.4-1.ca2004.1_all.deb
Size: 936212
MD5sum: ad412ef11d87330cbe3d3200c944d834
SHA1: 1c50dce60785080b4e7d1f279dad62a02cd4c500
SHA256: 48b0739f4df6580be6be09cd3b4cffd8361a1624dda7ddd1217fcb3c08544a9b
SHA512: 0345d5ee758636bc40c00b78d1bc8ae2eb216e33e51a56fbb8a5f76e4bf80a6689f863264587a357ac04f70633e323819d5af579def6ef10987b3faee1b45c26
Homepage: https://cran.r-project.org/package=mapme.biodiversity
Description: CRAN Package 'mapme.biodiversity' (Efficient Monitoring of Global Biodiversity Portfolios)
 Biodiversity areas, especially primary forest, serve a multitude of
 functions for local economy, regional functionality of the ecosystems as
 well as the global health of our planet. Recently, adverse changes in human
 land use practices and climatic responses to increased greenhouse gas
 emissions, put these biodiversity areas under a variety of different
 threats. The present package helps to analyse a number of biodiversity
 indicators based on freely available geographical datasets. It supports
 computational efficient routines that allow the analysis of potentially
 global biodiversity portfolios.  The primary use case of the package is to
 support evidence based reporting of an organization's effort to protect
 biodiversity areas under threat and to identify regions were intervention is
 most duly needed.

Package: r-cran-mapmisc
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2916
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-geosphere
Suggests: r-cran-rcolorbrewer, r-cran-geonames, r-cran-classint, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mapmisc_2.1.0-1.ca2004.1_all.deb
Size: 2303344
MD5sum: e091eda4c439e59bdea8fc6f1dc64920
SHA1: a289909b38914d236725836e869973baf7d5006c
SHA256: 1a01c6f51028a20bf73246ee77ceed6810c9f31b138e2d670eed14ab02784185
SHA512: 2b8b9d9610b350e40b96bf812860c87033e4a1f4a2c9fb34e0deee23695486cf968d3f2a8dd49408ecac923bc614d105e4ebee664af6cee70771facb17e3eaa4
Homepage: https://cran.r-project.org/package=mapmisc
Description: CRAN Package 'mapmisc' (Utilities for Producing Maps)
 Provides a minimal, light-weight set of tools for producing nice looking
 maps in R, with support for map projections.  See Brown (2016)
 <doi:10.32614/RJ-2016-005>.

Package: r-cran-mapmixture
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4217
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggspatial, r-cran-purrr, r-cran-rlang, r-cran-rnaturalearthdata, r-cran-sf, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-bslib, r-cran-colourpicker, r-cran-htmltools, r-cran-shiny, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinytest2, r-cran-shinywidgets, r-cran-terra, r-cran-testthat, r-cran-waiter
Filename: pool/dists/focal/main/r-cran-mapmixture_1.2.0-1.ca2004.1_all.deb
Size: 3877484
MD5sum: 6c67c3cf4c8743b0f938a1a6c98e014a
SHA1: c87d945a94ae914964c4efb1eb73568f1965c041
SHA256: 9ba179f550248c4f1751ca9e8fd4a920d01a83db8fb57631d58d523d41b31742
SHA512: e6c21879ab0965b94768b69a8d47570b5dd079c6a6b6beb2fa47922966298a2f144774cb73341e21a20a91fb03a4a87a44270ccf98377a13e537cf72c2ae911e
Homepage: https://cran.r-project.org/package=mapmixture
Description: CRAN Package 'mapmixture' (Spatial Visualisation of Admixture on a Projected Map)
 Visualise admixture as pie charts on a projected map, admixture as
 traditional structure barplots or facet barplots, and scatter plots from
 genotype principal components analysis. A 'shiny' app allows users to create
 admixture maps interactively. Jenkins TL (2024)
 <doi:10.1111/1755-0998.13943>.

Package: r-cran-mapper
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fastcluster
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapper_2.2.0-1.ca2004.1_all.deb
Size: 253372
MD5sum: 427454ba8e4638df07a2e9c30a1b8d44
SHA1: 4da5bef317c7c92187867b344760c85d2550592d
SHA256: a93ed4d3a435e0fd2688691d1e86d4b7c654edef9a6195d6fc1f97b27c776860
SHA512: ed04fb4b063a535edf533ca8ca99eb4e6f9363793a98f6c704f96f732d1559a197f33a31ff86f8026c41c1c6f27ef5b459097c464ced420af538a394c25c31b8
Homepage: https://cran.r-project.org/package=mappeR
Description: CRAN Package 'mappeR' (Construct and Visualize TDA Mapper Graphs)
 Topological data analysis (TDA) is a method of data analysis that uses
 techniques from topology to analyze high-dimensional data. Here we implement
 Mapper, an algorithm from this area developed by Singh, Mémoli and Carlsson
 (2007) which generalizes the concept of a Reeb graph
 <https://en.wikipedia.org/wiki/Reeb_graph>.

Package: r-cran-mapperalgo
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-networkd3, r-cran-igraph, r-cran-ggraph, r-cran-tidygraph, r-cran-ggplot2, r-cran-htmlwidgets
Suggests: r-cran-fastcluster, r-cran-cluster, r-cran-dbscan, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapperalgo_1.0.3-1.ca2004.1_all.deb
Size: 493516
MD5sum: 61160782a9c20f14dad3318b90f54feb
SHA1: 21453e4f7f518da64f2036684f187179e6f795f5
SHA256: 47951baa03f8d91ac64b3b43c7e9df9f51160c57067f2c8c9b485d0f3fc7ba9f
SHA512: aae16f0a16a36f2870476966aa84d670deea5d627dfb5e02420b05051666bc9d00ac3e144c099c80f839bd092a472fe9dd2e731d6e3630f259408ddcb7bb72db
Homepage: https://cran.r-project.org/package=MapperAlgo
Description: CRAN Package 'MapperAlgo' (Topological Data Analysis: Mapper Algorithm)
 The Mapper algorithm from Topological Data Analysis, the steps are as
 follows 1. Define a filter (lens) function on the data. 2. Perform
 clustering within each level set. 3. Generate a complex from the clustering
 results.

Package: r-cran-mapping
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1287
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tmap, r-cran-cartography, r-cran-ggplot2, r-cran-sf, r-cran-dplyr, r-cran-leaflet, r-cran-tmaptools, r-cran-viridislite, r-cran-httr, r-cran-curl, r-cran-htmltools, r-cran-leafpop, r-cran-leafsync, r-cran-mapview, r-cran-geojsonio, r-cran-jsonlite, r-cran-stringr, r-cran-s2, r-cran-stringi
Suggests: r-cran-knitr, r-cran-diagrammer, r-cran-rmarkdown, r-cran-validate, r-cran-unrepx
Filename: pool/dists/focal/main/r-cran-mapping_1.4.1-1.ca2004.1_all.deb
Size: 1271584
MD5sum: 74da4c05d31e13a0edeea6367558be38
SHA1: 7a966407bd3cfe6a92cdf47a7091500f362cdfc9
SHA256: ab3146903e06ef6fa1989e9d8ed866f9e8d3acfb54ec9cb86344ffcfb9cdc2d3
SHA512: dd7672f75cdcc9bf28d2909e3997a9191f74e95a386203eb9c1f903a376fda8322337464bef14c1a63fefa7a864d801e7217f7ff8458474ab90e6a3b59422e41
Homepage: https://cran.r-project.org/package=mapping
Description: CRAN Package 'mapping' (Automatic Download, Linking, Manipulating Coordinates for Maps)
 Maps are an important tool to visualise variables distribution across
 different spatial objects. The mapping process requires to link the data
 with coordinates and then generate the correspondent map. This package
 provide coordinates, linking and mapping functions for an automatic,
 flexible and easy approach of external functions. The package provides an
 easy, flexible and automatic unit. Geographical coordinates are provided in
 the package and automatically linked with the input data to generate maps
 with internal provided functions or external functions. Provide an easy,
 flexible and automatic approach to potentially download updated coordinates,
 to link statistical units with coordinates and to aggregate variables based
 on the spatial hierarchy of units. The object returned from the package can
 be used for thematic maps with the build-in functions provided in mapping or
 with other packages already available.

Package: r-cran-mappings
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mappings_0.1-1.ca2004.1_all.deb
Size: 34360
MD5sum: afad769a55c0a7fedeccae2f8b9c1dec
SHA1: 18789f12564e8b758ac21287f52308f9d89f160f
SHA256: 3029c73fde368c1f3a550ea38e3f5a1c51937a90b81d50b8c059b73f65094c18
SHA512: d79a22b5484ad758ce970b2a0b9b029c23bcd3ebb26650a35bc44d56c2e89cbb4d9078978cd2d32c6fdc3fba961be17a25f29f6d7722d6a653a580080525f5ff
Homepage: https://cran.r-project.org/package=mappings
Description: CRAN Package 'mappings' (Functions for Transforming Categorical Variables)
 Easily create functions to map between different sets of values, such as for
 re-labelling categorical variables.

Package: r-cran-mapplots
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-shapefiles
Filename: pool/dists/focal/main/r-cran-mapplots_1.5.3-1.ca2004.1_all.deb
Size: 350296
MD5sum: 9a5c3dd1eedbffd91140d4894659a8a2
SHA1: 8d26782560a409b09afd4359c0584c4a4d3ff8ac
SHA256: ada7abb043f23dd4a414f3f929ce9fdae1a8b1b73eba794de84f82c19675d245
SHA512: b73f8d04161f7fcf13b5ec6eb2090aa93fc5b04dc3784538f9cff43f86730858d053e080895a599f9662d429583e7997d7b8f647536a6e49aac0de99f8a9e4ec
Homepage: https://cran.r-project.org/package=mapplots
Description: CRAN Package 'mapplots' (Data Visualisation on Maps)
 Create simple maps; add sub-plots like pie plots to a map or any other plot;
 format, plot and export gridded data. The package was developed for
 displaying fisheries data but most functions can be used for more generic
 data visualisation.

Package: r-cran-mappp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-memoise, r-cran-progress, r-cran-pbmcapply, r-cran-parallelly, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mappp_1.0.0-1.ca2004.1_all.deb
Size: 24464
MD5sum: fa66ab3e53e09beaaa78efc968396ad1
SHA1: b08f213521e63edfd225596477da512130ee65ce
SHA256: 08f939634e42764057fe86e53b8e6ca23eceab4b22ec4f8d7f467b676ad26713
SHA512: 74fe308d4bef7ce93852f54aca08e66c85f7d115bbe9bb12ca4cc93d15322a4ee10ad567de9474c7a5907f1b875d012aa2432d1a6792f1c39f4e6a38a7cec2e1
Homepage: https://cran.r-project.org/package=mappp
Description: CRAN Package 'mappp' (Map in Parallel with Progress)
 Provides one function, which is a wrapper around purrr::map() with some
 extras on top, including parallel computation, progress bars, error
 handling, and result caching.

Package: r-cran-mapr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-leaflet, r-cran-spocc, r-cran-sp, r-cran-maps, r-cran-rcolorbrewer, r-cran-jsonlite, r-cran-gistr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-taxize, r-cran-maptools, r-cran-rgbif
Filename: pool/dists/focal/main/r-cran-mapr_0.5.2-1.ca2004.1_all.deb
Size: 573372
MD5sum: b005acc41e6f7a17d925ecbdce71815e
SHA1: adb7781cb406fd7fb0a7b05198fd50ef76c613e0
SHA256: 4aa2c0159a6d8992cfb058acc8269182843892e7c96fd57d27dc8da2bdcf880e
SHA512: d4c8a54c30d3f6484b2e10c91448cc6eb231221edbd6839478f05e799fa530fbe5edc02a5616926a094d7a3e903bff9a8253975d9d661b911976080f00e8ae51
Homepage: https://cran.r-project.org/package=mapr
Description: CRAN Package 'mapr' (Visualize Species Occurrence Data)
 Utilities for visualizing species occurrence data. Includes functions to
 visualize occurrence data from 'spocc', 'rgbif', and other packages. Mapping
 options included for base R plots, 'ggplot2', 'leaflet' and 'GitHub'
 'gists'.

Package: r-cran-mapreasy
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2748
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-rgdal, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-mapreasy_1.0-1.ca2004.1_all.deb
Size: 703140
MD5sum: d0c0130e24d2f4b750928bddae8bb88c
SHA1: 3fa6ff007cf5e40efa605e52638466f3420b5a56
SHA256: af701efee6543638889aa9b8164f0336d056d3ff42120528a9f7884589915844
SHA512: 80e509104e03eadd3fc2cc5cc395f451867a3eceed0f7bc098b3b65ac9a016da2e5225689ee35b5dd031041248748b7f35739c07f22c6ae07f054a2557c871e3
Homepage: https://cran.r-project.org/package=mapReasy
Description: CRAN Package 'mapReasy' (Producing Administrative Boundary Map with Additional FeaturesEmbedded)
 Produce administrative boundary map, visualize and compare different factors
 on map, tracking latitude and longitude, bubble plot. The package provides
 some handy functions to produce different administrative maps easily.
 Functions to obtain colorful visualization of different regions of interest
 and sub-divisional administrative map at different levels are included. This
 csn be used to increase feasibility of mapping disease pattern across
 different regions (disease mapping) with appropriate colors having intensity
 coherent with magnitude of prevalence. In many surveys, information on
 location of sample are collected. Sometimes it is of interest to quick look
 at the spreadness of the collected sample, check if any observation falls
 outside of the survey area and identify them. The package provides unique
 function to perform these tasks easily. Besides, some additional features
 have been added to make ad-lib comparison of different factors across the
 region through these maps. Visual presentation of two different variables on
 a particular map using two way bubble plot is also provided. Simple bar
 chart and pie chart can be produced on map to compare several factors.This
 package will be helpful to researchers-both statistician and
 non-statistician, to create geographic location wise plotting of different
 indicators. These types of maps are used in different research areas such
 public health, economics, environment, journalism etc. It provides functions
 that will also be helpful to users to create map using two indicators at a
 time (for example, shade on a map will give the information of one indicator
 variable, bar/pie/bubble chart will give the information on another
 indicator). Users only need to select the indicator's value and country wise
 region specific shapefile and run the functions to find their graphs
 quickly.The distinguishable features of the functions in this package are
 they are easy to understand to new R users who are searching some ad-lib
 functions to produce administrative map with different features and easy to
 use for those who are unfamiliar with file format of spatial data or
 geographic location data. Functions in this package adopt, compile and
 implement functions from some well-known packages on handling spatial data
 to make an user friendly functionality. So users do not need any additional
 knowledge about spatial statistics or geographic location data. All the
 examples presented in this package use shapefile of country Bangladesh
 downloaded from <http://www.gadm.org>. Users are requested to visit
 <http://www.gadm.org>, then select Download, then choose country and
 shapefile from country and File format dropdown menu. After downloading the
 shapefile of any particular country as compressed file, unzip the file and
 keep them in a known directory or working directory. Shapefiles of
 respective countries will be required to produce corresponding country maps.
 Use shapefile of corresponding country to produce all types of maps
 available in this package.

Package: r-cran-mapsapi
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2985
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-sf, r-cran-bitops, r-cran-stars, r-cran-rgooglemaps, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-mapsapi_0.5.4-1.ca2004.1_all.deb
Size: 1690264
MD5sum: eebeb36c45469d5af5d42755919f0761
SHA1: 813f4ba30735c34ae3c09e1ba923b75c32d172c3
SHA256: f045eb9ceec11ecf925fdb4e71c2a4ffcbf8d4955ef28d160c9d0bfed240781f
SHA512: 1662a2baf31eb97f8b96c214119a7bbde4f8ef4c8806b04ce1150dfb4c1e80b0d389a7d11d0927a1c902db37a4f4574f9dcfe44d70f558e38ee0d479f1db1d34
Homepage: https://cran.r-project.org/package=mapsapi
Description: CRAN Package 'mapsapi' ('sf'-Compatible Interface to 'Google Maps' APIs)
 Interface to the 'Google Maps' APIs: (1) routing directions based on the
 'Directions' API, returned as 'sf' objects, either as single feature per
 alternative route, or a single feature per segment per alternative route;
 (2) travel distance or time matrices based on the 'Distance Matrix' API; (3)
 geocoded locations based on the 'Geocode' API, returned as 'sf' objects,
 either points or bounds; (4) map images using the 'Maps Static' API,
 returned as 'stars' objects.

Package: r-cran-mapsf
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2799
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classint, r-cran-maplegend, r-cran-s2, r-cran-sf
Suggests: r-cran-terra, r-cran-ckmeans.1d.dp, r-cran-png, r-cran-jpeg, r-cran-lwgeom, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mapsf_0.12.0-1.ca2004.1_all.deb
Size: 1810680
MD5sum: 3802e4166df194d98a1f302884df5afb
SHA1: 21c3fbbeeea9b72f75b21b5b53c3e844eb50fdc5
SHA256: 61f6e5effb1dab895a1004075ce5838d47841e1ebe3a4f8946a3900d224b03de
SHA512: 59663f93b312a2a55d1c55c3f49bd7b3a98ca7a87a377b58617d9eebc107275b53f921e244c506c742cbd26c8bd080dd1eb8caf28ec9165b1a9515e6d8e2e0f1
Homepage: https://cran.r-project.org/package=mapsf
Description: CRAN Package 'mapsf' (Thematic Cartography)
 Create and integrate thematic maps in your workflow. This package helps to
 design various cartographic representations such as proportional symbols,
 choropleth or typology maps. It also offers several functions to display
 layout elements that improve the graphic presentation of maps (e.g. scale
 bar, north arrow, title, labels). 'mapsf' maps 'sf' objects on 'base'
 graphics.

Package: r-cran-mapsfinland
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3867
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-class, r-cran-kernsmooth, r-cran-dplyr, r-cran-sf, r-cran-maps, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-mapsfinland_0.2.2-1.ca2004.1_all.deb
Size: 3925640
MD5sum: 3242336dfd9402c92de867e450fd2109
SHA1: 27b11242a2ffb993f12a21fe0799e1e9f007f976
SHA256: 7466079c361678f851f54ac3fede225ab5dbe760c78348d2123d5fd8e28aa098
SHA512: c7de48980b79e635874c9042ac7c4bc953ae4d1b44d7db35b86a0b33e0d70dc975b2ca1490ef667f399a9e949ed08e0835a749bcd2ac5843ff6410924ebf0225
Homepage: https://cran.r-project.org/package=mapsFinland
Description: CRAN Package 'mapsFinland' (Maps of Finland)
 Maps and other related data of Finland.

Package: r-cran-mapspain
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-giscor, r-cran-rappdirs, r-cran-sf
Suggests: r-cran-curl, r-cran-ggplot2, r-cran-knitr, r-cran-leaflet, r-cran-png, r-cran-rmarkdown, r-cran-slippymath, r-cran-terra, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-mapspain_0.10.0-1.ca2004.1_all.deb
Size: 4008404
MD5sum: 9d694a927175241c07ac6a54322536d5
SHA1: f602399aba4157472e22053ee00a179187e8ed95
SHA256: 3517872067025bfaceb8217bdbe3c2a24463f74364056ab24c6e6dc5c74f09b1
SHA512: 4294a148635a37d060d2b4f2ad76b185b2d549b82b36424fb7fb4b222d436a3f386463510b5a3917d3d0145b00cb964a0957cc1dca7c9f558a6fc672b558411d
Homepage: https://cran.r-project.org/package=mapSpain
Description: CRAN Package 'mapSpain' (Administrative Boundaries of Spain)
 Administrative Boundaries of Spain at several levels (Autonomous
 Communities, Provinces, Municipalities) based on the 'GISCO' 'Eurostat'
 database <https://ec.europa.eu/eurostat/web/gisco> and 'CartoBase SIANE'
 from 'Instituto Geografico Nacional' <https://www.ign.es/>.  It also
 provides a 'leaflet' plugin and the ability of downloading and processing
 static tiles.

Package: r-cran-mapsperu
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4650
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-mapsperu_2.0.0-1.ca2004.1_all.deb
Size: 4725460
MD5sum: 060e8c45e6d8992dd567973936e1a084
SHA1: c8902cbccaa46fc5510f51d5d2af0eac127bb8e2
SHA256: 827d0ac18e7a8722761ee23b477c2e2001fa66e691e9aa2c1b145f01ea4c8801
SHA512: 380a2660d9b4e5301f25da817c640baaabd6f8bdbb023fdc257ac8f2d9a5147cc92f394df7c49c116de293c07966f0745b201b772af26f3355c76c62ca7dc1c2
Homepage: https://cran.r-project.org/package=mapsPERU
Description: CRAN Package 'mapsPERU' (Maps of Peru)
 Information of the centroids and geographical limits of the regions,
 departments, provinces and districts of Peru.

Package: r-cran-mapsrinteractive
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-gstat
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mapsrinteractive_2.0.1-1.ca2004.1_all.deb
Size: 71840
MD5sum: 076dab62b3f72731305ee48cdbf5f2da
SHA1: 8e02e35d215462ea9769a825d10f8cd3dba9759d
SHA256: 887182e448b73c95fe08cfea5b0707958a33a5ee3eebb5949a1138d29ee102e9
SHA512: 3c65dd91ea98eb9dad5bfcbcb1fd7974e3764678811a32c9cae80a9686699a6403f1beb166122629f15f52dbc315fc01d7686ba013f1d356d84633681d358bc8
Homepage: https://cran.r-project.org/package=mapsRinteractive
Description: CRAN Package 'mapsRinteractive' (Local Adaptation and Evaluation of Raster Maps)
 Local adaptation and evaluation of maps of continuous attributes in raster
 format by use of point location data.

Package: r-cran-mapstats
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey, r-cran-lattice, r-cran-rcolorbrewer, r-cran-hmisc, r-cran-classint, r-cran-sp, r-cran-sf, r-cran-colorspace, r-cran-reshape2, r-cran-ttutils
Filename: pool/dists/focal/main/r-cran-mapstats_3.1-1.ca2004.1_all.deb
Size: 226460
MD5sum: 8fd2d9458dd8278b246c99f3df696d3a
SHA1: af828ae74d9f67d4bd566c34690b9817aeee8be9
SHA256: 3f844d4f5326aed9ed15f914ea55eefc6cd4bbda48171c483e9be582ca4137a1
SHA512: c95910ca89d6074e5ff8d2aa216705c573759f87e71503210701254632bc846da60c611b4cf680a7fc4b05e8601d17a7fb57162e1e215164f0613b77cb59a3fe
Homepage: https://cran.r-project.org/package=mapStats
Description: CRAN Package 'mapStats' (Geographic Display of Survey Data Statistics)
 Automated calculation and visualization of survey data statistics on a
 color-coded (choropleth) map.

Package: r-cran-maptiles
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1452
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-curl, r-cran-digest, r-cran-png, r-cran-terra, r-cran-slippymath
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-maptiles_0.10.0-1.ca2004.1_all.deb
Size: 1433740
MD5sum: 2ff6a8905d254bb7f82c9a065b2484d6
SHA1: a51a8f75a5946eb7d024482fd52ef2a726fdbfde
SHA256: 59364d3023793a1d75fec15a0d1517ae9369ebb2d94f294a9c72158fb0a51bd6
SHA512: f96f99a03d0eeedb433f28f6b8b33db3140e4c78c251afc927c773ea4a854b7c38cba44d550cd2354a8af0cc5e76eba94197ee76b7af3ce40fcb1ed48bbe9142
Homepage: https://cran.r-project.org/package=maptiles
Description: CRAN Package 'maptiles' (Download and Display Map Tiles)
 To create maps from tiles, 'maptiles' downloads, composes and displays tiles
 from a large number of providers (e.g. 'OpenStreetMap', 'Stadia', 'Esri',
 'CARTO', or 'Thunderforest').

Package: r-cran-maptree
Architecture: all
Version: 1.4-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-maptree_1.4-8-1.ca2004.1_all.deb
Size: 147684
MD5sum: 7b439b3b04fe02e938f347e10389f009
SHA1: e5532cd30345a94e8bce46b167d50d469d0ab466
SHA256: ba5808f37ae794b5739d6df42af76bf22b86594c1b79501e2b5da2051974ff5d
SHA512: 6902ff3d21f8dbe7ccb7e0e9f0d2ab5e5fb1a10f8fe4cac13f759c2239d3b05c1e0df6e7dacb9592fe8bceccb20381274843440e387fd367ad101bbb6c227c1a
Homepage: https://cran.r-project.org/package=maptree
Description: CRAN Package 'maptree' (Mapping, Pruning, and Graphing Tree Models)
 Functions with example data for graphing, pruning, and mapping models from
 hierarchical clustering, and classification and regression trees.

Package: r-cran-mapview
Architecture: all
Version: 2.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2554
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-htmltools, r-cran-htmlwidgets, r-cran-lattice, r-cran-leafem, r-cran-leaflet, r-cran-leafpop, r-cran-png, r-cran-raster, r-cran-satellite, r-cran-scales, r-cran-servr, r-cran-sf, r-cran-sp
Suggests: r-cran-covr, r-cran-knitr, r-cran-later, r-cran-leaflet.extras2, r-cran-leafsync, r-cran-lwgeom, r-cran-mapdeck, r-cran-plainview, r-cran-poorman, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-s2, r-cran-stars, r-cran-tinytest, r-cran-webshot, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-mapview_2.11.2-1.ca2004.1_all.deb
Size: 2323020
MD5sum: d9262fda852cb7a534e81cb1f778a3a8
SHA1: 83516a210819b3997dad8bdd58c0e56212cd9abe
SHA256: 5106385192c9baf51750159bc38ce91b690dd7ea3a54842ddaed13b3a137f9e4
SHA512: 2b5b0814d01ec3698ea482d3acd2d2d74798748fc22091763264929ce98f7cd4187a5bad0a5646f420de18f52ff27fc83d8d654fc8f541c56fa5c396ccba1cd1
Homepage: https://cran.r-project.org/package=mapview
Description: CRAN Package 'mapview' (Interactive Viewing of Spatial Data in R)
 Quickly and conveniently create interactive visualisations of spatial data
 with or without background maps.  Attributes of displayed features are fully
 queryable via pop-up windows. Additional functionality includes methods to
 visualise true- and false-color raster images and bounding boxes.

Package: r-cran-mar1s
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cmrutils, r-cran-fda, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-mar1s_2.1.1-1.ca2004.1_all.deb
Size: 225772
MD5sum: 10534dd77b5a0e2baabb60af6eb42706
SHA1: 5978adc8a316cc2e181ab7189e409e87327eed66
SHA256: 530743f87ab3c2f0ad73781fd47f64e3e5472a7fbddd5f4e458cbc5c92b976cf
SHA512: 09e288a5f304ac666370dbfc5d24a69f16d3586beaf43d467443880356ecfc2c410fee31e66f54914d194623d8ba4add7e37fff8b63dd0a9609f4dae5f6c23d1
Homepage: https://cran.r-project.org/package=mar1s
Description: CRAN Package 'mar1s' (Multiplicative AR(1) with Seasonal Processes)
 Multiplicative AR(1) with Seasonal is a stochastic process model built on
 top of AR(1). The package provides the following procedures for MAR(1)S
 processes: fit, compose, decompose, advanced simulate and predict.

Package: r-cran-mar
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mar_1.2-0-1.ca2004.1_all.deb
Size: 45504
MD5sum: 6ad7da7b33758b05c9f6b4ef75d1579d
SHA1: 297f7807cda1cb94f408c6f3eeba0c820cfe4fb0
SHA256: a4ea5a76686f24f9a5a5d237140242cf3d7328240c5d9944478ea0eed64abcc8
SHA512: f9b5315cc7603f2cdd4263a895b1726daca39d7263c921a2e596ec3d2bc4c3b58f13e4d169eb00820b09c156e64ebe63770d98a2f704f23925a003417889907c
Homepage: https://cran.r-project.org/package=mAr
Description: CRAN Package 'mAr' (Multivariate AutoRegressive Analysis)
 R functions for the estimation and eigen-decomposition of multivariate
 autoregressive models.

Package: r-cran-maraca
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8543
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-hce, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-checkmate, r-cran-patchwork, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-here, r-cran-lintr, r-cran-withr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maraca_1.0.0-1.ca2004.1_all.deb
Size: 958776
MD5sum: 328e6eb68e2390cc5f5f7bb70c1eff9a
SHA1: f2388794aabea05cd5eda0b6a12f51d13df2cea0
SHA256: a1b2570db33e19cfffab7eb32269ac6933a39014f60026fd274c13856e121c0c
SHA512: 381513ef069d837ffeadc12cc636d9c6794357cf913c8699e1bc5deb28a5294b18dd4f588c4908f86c24970be0c23443883aefa9242f59ccf414909b9e67ce5c
Homepage: https://cran.r-project.org/package=maraca
Description: CRAN Package 'maraca' (The Maraca Plot: Visualizing Hierarchical Composite Endpoints)
 Supports visual interpretation of hierarchical composite endpoints (HCEs).
 HCEs are complex constructs used as primary endpoints in clinical trials,
 combining outcomes of different types into ordinal endpoints, in which each
 patient contributes the most clinically important event (one and only one)
 to the analysis. See Karpefors M et al. (2022)
 <doi:10.1177/17407745221134949>.

Package: r-cran-march
Architecture: all
Version: 3.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-march_3.3.2-1.ca2004.1_all.deb
Size: 519108
MD5sum: 7e068d2df688e1645489d3cada48e298
SHA1: 9c9dc0a799596d24b9f9415a66d5923543b68970
SHA256: 88f44e1bb2f1656b4cc9eb8f097db8513e73e0c5e8186c2b8b6c2288f5925616
SHA512: c64339504802294716bfa2fd5af8771d17d0f34708b212ced1b0dffd215c3905b0dfcc701b003576ec26e30a0b7b96693997f2999a7cadd53fd66b00dce8316b
Homepage: https://cran.r-project.org/package=march
Description: CRAN Package 'march' (Markov Chains)
 Computation of various Markovian models for categorical data including
 homogeneous Markov chains of any order, MTD models, Hidden Markov models,
 and Double Chain Markov Models.

Package: r-cran-marcher
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-plyr, r-cran-mvtnorm, r-cran-rcolorbrewer, r-cran-minpack.lm, r-cran-zoo, r-cran-numderiv, r-cran-magrittr, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-marcher_0.0-2-1.ca2004.1_all.deb
Size: 278736
MD5sum: b6a4a3a94dfa1de5e80c7cf9593bd0cd
SHA1: 6127cc236bf1c1db69407ecaea395ba9d2c36539
SHA256: 3df2b2c2172ea3af7397554115fd07f4657d7299b40e8ac31f83b944844510ff
SHA512: 8ed30ff96c1d909226709b1869b13efd1fddcd0d64025e6dbda537462be5f5b1b2f73009b345b01316d11f027aee04810f2e6b3fb527f95384ca460ec34af970
Homepage: https://cran.r-project.org/package=marcher
Description: CRAN Package 'marcher' (Migration and Range Change Estimation in R)
 A set of tools for likelihood-based estimation, model selection and testing
 of two- and three-range shift and migration models for animal movement data
 as described in Gurarie et al. (2017) <doi: 10.1111/1365-2656.12674>.
 Provided movement data (X, Y and Time), including irregularly sampled data,
 functions estimate the time, duration and location of one or two range
 shifts, as well as the ranging area and auto-correlation structure of the
 movment.  Tests assess, for example, whether the shift was "significant",
 and whether a two-shift migration was a true return migration.

Package: r-cran-mareymap
Architecture: all
Version: 1.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1756
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-mareymap_1.3.10-1.ca2004.1_all.deb
Size: 1167944
MD5sum: 7f2bc221a61c4c80c7a41c88bcc03745
SHA1: 86edeae03523956ebaa134e70d8512016b51926f
SHA256: f22b68c08ff01123e0c959987ddf4705d6cbade6c8d4803e14ad71af822180b0
SHA512: c1824ed13cc0e795a0b93d007a4922f36ac9ac26882fa1bdda41aa1781dad0afd532595fb33eaaf48b53bcd4fe5f61ec85c6c9f0fa9bf7b1d7d4680903c38ed8
Homepage: https://cran.r-project.org/package=MareyMap
Description: CRAN Package 'MareyMap' (Estimation of Meiotic Recombination Rates Using Marey Maps)
 Local recombination rates are graphically estimated across a genome using
 Marey maps.

Package: r-cran-marg
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-statmod, r-cran-survival
Suggests: r-cran-boot, r-cran-cond, r-cran-csampling, r-cran-nlreg
Filename: pool/dists/focal/main/r-cran-marg_1.2-4-1.ca2004.1_all.deb
Size: 470672
MD5sum: de16f8591d23ab2c519c635685285001
SHA1: c8791d4f8d8d3376f81ddbb06d8897ea26dd98da
SHA256: 9b4994329c27b7105ba524ef4a47c1ba3647a986df8dab26eb4618d88ba407a6
SHA512: bd0afb7b8c3943b40f980d843faca770c7cb27c7df2b78866690983c84023448a8f0c99374ba181018cbcec0ed9c78a72ce54b0d7c1176a768a4080b039dc418
Homepage: https://cran.r-project.org/package=marg
Description: CRAN Package 'marg' (Approximate Marginal Inference for Regression-Scale Models)
 Implements likelihood inference based on higher order approximations for
 linear nonnormal regression models.

Package: r-cran-margaret
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3617
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-readr, r-cran-httr, r-cran-rlang, r-cran-dplyr, r-cran-usethis, r-cran-devtools, r-cran-lubridate, r-cran-rvest, r-cran-scholar, r-cran-purrr, r-cran-stringi, r-cran-stringr, r-cran-tidytext, r-cran-tidyr, r-cran-tidyverse, r-cran-treemapify, r-cran-tibble, r-cran-widyr, r-cran-writexl, r-cran-igraph
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-margaret_0.1.4-1.ca2004.1_all.deb
Size: 3669504
MD5sum: 194670f71af1902a0e1f619bb9d5cb46
SHA1: f9327c7f4f44abba82e64543836587755dd8ae81
SHA256: 06bae0ecbb457203784671f1e31cf61788a8350e0d080b4e63a356720461939c
SHA512: e846ee50cd1813e94edbdba8cb71b4aa61cf4bb2bd2dfff4b4e346f803ba5d880e795cca4c04154b4efe09e4e10099265650497c58b3f173d164a763b7d01f62
Homepage: https://cran.r-project.org/package=margaret
Description: CRAN Package 'margaret' (Scientometric Analysis Minciencias)
 The target of 'margaret' is help to extract data from Minciencias to analyze
 scientific production in Colombia.

Package: r-cran-margcond
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-lme4, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-margcond_1.0.0-1.ca2004.1_all.deb
Size: 49716
MD5sum: 7896e6b280d4901a712edcccb4bf0bd4
SHA1: 0a3dbea00f4c74161b64dbcc7ab07d6f5c509f33
SHA256: d0263dd476f98bfd031f5e84b0691b1f1b82fa4a44cd2ed85627880857d1e23e
SHA512: 548c9d9c21234be065d5bec4869c99e9fcf708ab05e61b9968825c86a254185a9030ad595de595df531d125825527a504980aa3e47650d8d29a7d02e8b5696fd
Homepage: https://cran.r-project.org/package=MargCond
Description: CRAN Package 'MargCond' (Joint Marginal-Conditional Model)
 Fits joint marginal conditional models for multivariate longitudinal data,
 as in Proudfoot, Faig, Natarajan, and Xu (2018) <doi:10.1002/sim.7552>.
 Development of this package was supported by the UCSD Altman Translational
 Research Institute, NIH grant UL1TR001442. The content is solely the
 responsibility of the authors and does not necessarily represent the
 official views of the NIH.

Package: r-cran-marginalizedrisk
Architecture: all
Version: 2024.5-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-runit, r-cran-r.rsp, r-cran-survival
Filename: pool/dists/focal/main/r-cran-marginalizedrisk_2024.5-17-1.ca2004.1_all.deb
Size: 74144
MD5sum: 39855aa6e4fa1cfbbce9b20b9baf7618
SHA1: b41564e011420ad796f097d38e9b65a275d5b6c8
SHA256: 6f24d4525cbaa85a23123963771772b1591c2379224b0a59a7e5efcfb0f0f9a9
SHA512: d7140a3b215969d50047b7218ecdbfe95d07c26d19851536b773f710851f01da253441b517a89ed67516aa97c56ff7f5616b9dbdcf8f180ef40e8902fa6850e1
Homepage: https://cran.r-project.org/package=marginalizedRisk
Description: CRAN Package 'marginalizedRisk' (Estimating Marginalized Risk)
 Estimates risk as a function of a marker by integrating over other
 covariates in a conditional risk model.

Package: r-cran-marginalmediation
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1853
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-boot, r-cran-cli, r-cran-crayon, r-cran-rstudioapi, r-cran-purrr, r-cran-tibble, r-cran-furniture, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-margins, r-cran-betareg
Filename: pool/dists/focal/main/r-cran-marginalmediation_0.7.2-1.ca2004.1_all.deb
Size: 1800668
MD5sum: 830fde41b7857f4ba890509aba96964a
SHA1: 3192beabf7270e85573c0c4ed0bcd4903a88658d
SHA256: 7e18e3a7ee977cd9796e8927522672994e26b6a4a5c35198efd1b2bed3825cd6
SHA512: 07231046f6014665c16fad2138298683e213bbe04eeb35ee5ac2517992d8e84dbd8fe5dd6b842b5d096a11a1aef53bb81dd58063e6555f4d8910658a2ff48cc9
Homepage: https://cran.r-project.org/package=MarginalMediation
Description: CRAN Package 'MarginalMediation' (Marginal Mediation)
 Provides the ability to perform "Marginal Mediation"--mediation wherein the
 indirect and direct effects are in terms of the average marginal effects
 (Bartus, 2005,
 <https://EconPapers.repec.org/RePEc:tsj:stataj:v:5:y:2005:i:3:p:309-329>).
 The style of the average marginal effects stems from Thomas Leeper's work on
 the "margins" package.  This framework allows the use of categorical
 mediators and outcomes with little change in interpretation from the
 continuous mediators/outcomes. See <doi:10.13140/RG.2.2.18465.92001> for
 more details on the method.

Package: r-cran-margins
Architecture: all
Version: 0.3.28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3884
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prediction, r-cran-data.table, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-gapminder, r-cran-sandwich, r-cran-stargazer, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-margins_0.3.28-1.ca2004.1_all.deb
Size: 1734868
MD5sum: 221e51198269ea35dd6a13ce466ba5fb
SHA1: 6bd00fc5f638ec067e749f047a902a7756dc9c3e
SHA256: d237339052aede6cc197b81943cfe1f2fa24f20b0230463140abda3e2f442bad
SHA512: 00ada39d0c78f208e0cb47b3d90f6ed4e09b038bb52976e511fe2a4febba84a7e25adbf78063a3cc2cd5f5a1f03ad82b4585b433efe9d86dd4b85ac86d7eb819
Homepage: https://cran.r-project.org/package=margins
Description: CRAN Package 'margins' (Marginal Effects for Model Objects)
 An R port of the margins command from 'Stata', which can be used to
 calculate marginal (or partial) effects from model objects.

Package: r-cran-marima
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 697
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-marima_2.2-1.ca2004.1_all.deb
Size: 638600
MD5sum: 1acefd9e857670da5f17f1ac05ecdc7b
SHA1: 2b012ce3be371dd5c56e1a35e5f95c21bbed832f
SHA256: 62bb168b1eb4eaac2f09622ff62c74087a5190d5c797c90aa512df86f7dec35b
SHA512: 72f50e2128cec123b718185d0567960ffc8e83762a2de62161e3052f811e5c7b9a910bdfa5dcf7aee17f179e36698b8612f4f27e454208e373a916391e31dfdb
Homepage: https://cran.r-project.org/package=marima
Description: CRAN Package 'marima' (Multivariate ARIMA and ARIMA-X Analysis)
 Multivariate ARIMA and ARIMA-X estimation using Spliid's algorithm
 (marima()) and simulation (marima.sim()).

Package: r-cran-marinet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2537
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lme4, r-cran-qgraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle
Filename: pool/dists/focal/main/r-cran-marinet_1.0.0-1.ca2004.1_all.deb
Size: 1478124
MD5sum: d9311010c0d12bb48f7a6ba32b34071a
SHA1: 70474d0c6850dcf0339bf330561597f38896f1e2
SHA256: e4ebd545f446386a2972a1a9d6f6b583ebe7d9b1689dade88667ea04f0907ca4
SHA512: 76da215a2e22b432f964033aa7910f5d2ab669b84fd2830c610e8e859b6b20ad115133d0d189523b691e53e5c635df32919d89b097632dffa7a4b4fe991b8a23
Homepage: https://cran.r-project.org/package=MariNET
Description: CRAN Package 'MariNET' (Build Network Based on Linear Mixed Models from EHRs)
 Analyzing longitudinal clinical data from Electronic Health Records (EHRs)
 using linear mixed models (LMM) and visualizing the results as networks. It
 includes functions for fitting LMM, normalizing adjacency matrices, and
 comparing networks. The package is designed for researchers in clinical and
 biomedical fields who need to model longitudinal data and explore
 relationships between variables For more details see Bates et al. (2015)
 <doi:10.18637/jss.v067.i01>.

Package: r-cran-mark
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-fuj, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-bench, r-cran-bib2df, r-cran-crayon, r-cran-covr, r-cran-desc, r-cran-dplyr, r-cran-echo, r-cran-haven, r-cran-knitr, r-cran-rcmdcheck, r-cran-stringi, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-waldo, r-cran-withr, r-cran-xopen, r-cran-yaml, r-cran-jsonlite, r-cran-arrow, r-cran-readmdtable, r-cran-clipr
Filename: pool/dists/focal/main/r-cran-mark_0.8.3-1.ca2004.1_all.deb
Size: 615088
MD5sum: d01bfe2029a7cf07878374868a0ee907
SHA1: c90402dbbfd892a02e047d271bbf05e88bb0a58f
SHA256: e02245b8091949a5eccf5b6a0d71cb55be894aa8ac1563a32de907f161aa7f35
SHA512: ce7a438fb0daf826376af8254f3370df7e4234a77ebabe4735513abae0502d10e4b7914d5f0aab7581684e498eb47476045892745feb580abae8a5bdc4357f13
Homepage: https://cran.r-project.org/package=mark
Description: CRAN Package 'mark' (Miscellaneous, Analytic R Kernels)
 Miscellaneous functions and wrappers for development in other packages
 created, maintained by Jordan Mark Barbone.

Package: r-cran-markdown
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xfun, r-cran-litedown
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-yaml, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-markdown_2.0-1.ca2004.1_all.deb
Size: 62772
MD5sum: 3cb308072a10f6c8a92c4d5afd8f6695
SHA1: a9651b58161e31a844e13169a739549e5ada89d2
SHA256: 6c266e87fc092a7b441e1035e0ad8b85580edf5a0c02cc6e38f38734dd7ec12a
SHA512: 41d72f0ef27116bc2c52768e3ce34386c9ad5d564d7c4240adaa59e735f3980d8f0bf9a2489926d0a044ad9395190719ffea2e70df35c87681c4f38957da6420
Homepage: https://cran.r-project.org/package=markdown
Description: CRAN Package 'markdown' (Render Markdown with 'commonmark')
 Render Markdown to full and lightweight HTML/LaTeX documents with the
 'commonmark' package. This package has been superseded by 'litedown'.

Package: r-cran-markdowninput
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyace, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-markdowninput_0.1.2-1.ca2004.1_all.deb
Size: 20932
MD5sum: 774b4a74e427578d6cb22786beac139f
SHA1: 0013df8aab2a1aa38565c003120a086f7cefa063
SHA256: b4d7c881c92bbbbf52d7724d9c20d5a2bd68de1e0aba2deb03ba9a90e4908261
SHA512: 3faafdf4b5647bb653ab6ff724afd08a72c1a8f6cb5a5f79da8fcfc0d6fcfe0c5f6ec334c63bee274f3b5302b4933ff547333fc64ed735c16c08ae8b1f3a8274
Homepage: https://cran.r-project.org/package=markdownInput
Description: CRAN Package 'markdownInput' (Shiny Module for a Markdown Input with Result Preview)
 An R-Shiny module containing a "markdownInput". This input allows the user
 to write some markdown code and to preview the result. This input has been
 inspired by the "comment" window of <https://github.com/>.

Package: r-cran-marketmatching
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1004
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-iterators, r-cran-doparallel, r-cran-foreach, r-cran-reshape2, r-cran-causalimpact, r-cran-tidyr, r-cran-zoo, r-cran-bsts, r-cran-scales, r-cran-boom, r-cran-utf8, r-cran-dtw
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-marketmatching_1.2.1-1.ca2004.1_all.deb
Size: 675560
MD5sum: a0b119004241910e57cf3a0c4157881e
SHA1: 0237d77177ad5ee31f515b571601bcecfa4e3fd2
SHA256: 0109f9015dabc823a57d2740745c8b057c3115563360ce3822d563a6527f377d
SHA512: 067de6b899c72451839d3e42f909a9c6c391f6a72dfdba4bb21c5d843ec850da475b50a14549ca264ca015a962e1a0e59cdbcd33282f6b70d94e8e0ee85c6392
Homepage: https://cran.r-project.org/package=MarketMatching
Description: CRAN Package 'MarketMatching' (Market Matching and Causal Impact Inference)
 For a given test market find the best control markets using time series
 matching and analyze the impact of an intervention. The intervention could
 be a marketing event or some other local business tactic that is being
 tested. The workflow implemented in the Market Matching package utilizes
 dynamic time warping (the 'dtw' package) to do the matching and the
 'CausalImpact' package to analyze the causal impact. In fact, this package
 can be considered a "workflow wrapper" for those two packages. In addition,
 if you don't have a chosen set of test markets to match, the Market Matching
 package can provide suggested test/control market pairs and pseudo
 prospective power analysis (measuring causal impact at fake interventions).

Package: r-cran-marketr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-marketr_0.0.2-1.ca2004.1_all.deb
Size: 48032
MD5sum: a4bc91229c2d7c08d86064bfec025e0f
SHA1: 27c2c96bd13387941e22fca9f8e130d17a219f97
SHA256: fc555b805d17e115ae0c95569d76fcc2bb95a56954ee5d40a5e7d26898b259b5
SHA512: 22310ebdc94011367798a27239d5c6563c492b0eed2228e132f84be67ce4da9c8fe7cd900fec35775a39456e2b94194583e015addf0caeeabad51024766676d0
Homepage: https://cran.r-project.org/package=marketr
Description: CRAN Package 'marketr' (Tidy Calculation of Marketing Metrics Plus Quick Analysis)
 Facilitates tidy calculation of popular quantitative marketing metrics. It
 also includes functions for doing analysis that will help marketers and data
 analysts better understand the drivers and/or trends of these metrics. These
 metrics include Customer Experience Index
 <https://go.forrester.com/analytics/cx-index/> and Net Promoter Score
 <https://www.netpromoter.com/know/>.

Package: r-cran-markmyassignment
Architecture: all
Version: 0.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yaml, r-cran-testthat, r-cran-httr, r-cran-checkmate, r-cran-codetools, r-cran-rlang
Suggests: r-cran-covr, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-markmyassignment_0.8.8-1.ca2004.1_all.deb
Size: 114360
MD5sum: 47af2d99c03199c737d7af0e24605434
SHA1: 497dcb3d76e7353252a8ad25fc757e348dcecc15
SHA256: fcc7070d081202e7e8e030ac22ba59587ad9de55198daaba6bd3c30090814ad3
SHA512: f702cc5c61fcaa68cd5b6aa811b6fb457ed2f695412becaea464b577f3ca29dc982317ad2c643cf613014f4ed201a2a22f8001d38cfe3f7a8ae92fb8a4931bc4
Homepage: https://cran.r-project.org/package=markmyassignment
Description: CRAN Package 'markmyassignment' (Automatic Marking of R Assignments)
 Automatic marking of R assignments for students and teachers based on
 'testthat' test suites.

Package: r-cran-markovchart
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 901
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-optimparallel, r-cran-foreach, r-cran-ggplot2, r-cran-metr
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-gridextra, r-cran-reshape2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-markovchart_2.1.5-1.ca2004.1_all.deb
Size: 614836
MD5sum: 59000d1da64cf69f12c44dec0c50119c
SHA1: 93c56b76bd0f24282ec06e35eb9bc24399d25070
SHA256: d2a59ee4d72f2bf44ff7dceeedc33a6e28941cb1b6c29bd00966b5d9c712faa0
SHA512: 19ad4be84326e6e1f179a84d3d9cf558f8087d49df6f2f86927ce1b8cf683bbded7d573d711c80bdc7df4a5df0740a5c102b47abc79873362ecb4476df1bcac3
Homepage: https://cran.r-project.org/package=Markovchart
Description: CRAN Package 'Markovchart' (Markov Chain-Based Cost-Optimal Control Charts)
 Functions for cost-optimal control charts with a focus on health care
 applications. Compared to assumptions in traditional control chart theory,
 here, we allow random shift sizes, random repair and random sampling times.
 The package focuses on X-bar charts with a sample size of 1 (representing
 the monitoring of a single patient at a time). The methods are described in
 Zempleni et al. (2004) <doi:10.1002/asmb.521>, Dobi and Zempleni (2019)
 <doi:10.1002/qre.2518> and Dobi and Zempleni (2019)
 <http://ac.inf.elte.hu/Vol_049_2019/129_49.pdf>.

Package: r-cran-markowitz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-tidyverse
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-markowitz_0.1.0-1.ca2004.1_all.deb
Size: 15404
MD5sum: fa1a62ae854fbbec0982bdfd8144f155
SHA1: 0871dc10a956df0e270840089809666d1082e805
SHA256: 316513e23b19d21ba8d203d2ba35966e3b89b9f1452f18c7930405ccd90373e2
SHA512: f2e209711c0a85cc38078c786e114da32c97dcb2262b13f12b286e7fd6645bca4d47cd6db84258c543e3a2060b85d757d60a8e07436e1fdf4f47e9fb1cef7b54
Homepage: https://cran.r-project.org/package=markowitz
Description: CRAN Package 'markowitz' (Markowitz Criterion)
 The Markowitz criterion is a multicriteria decision-making method that
 stands out in risk and uncertainty analysis in contexts where probabilities
 are known. This approach represents an evolution of Pascal's criterion by
 incorporating the dimension of variability. In this framework, the expected
 value reflects the anticipated return, while the standard deviation serves
 as a measure of risk. The 'markowitz' package provides a practical and
 accessible tool for implementing this method, enabling researchers and
 professionals to perform analyses without complex calculations. Thus, the
 package facilitates the application of the Markowitz criterion. More details
 on the method can be found in Octave Jokung-Nguéna (2001, ISBN 2100055372).

Package: r-cran-markowitzr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1008
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrixcalc, r-cran-gtools
Suggests: r-cran-sandwich, r-cran-sharper, r-cran-testthat, r-cran-formatr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-markowitzr_1.0.3-1.ca2004.1_all.deb
Size: 815112
MD5sum: fbdd9fa8f859e21490e5d691323727f4
SHA1: 6f0d45220abe92d4509fb8f3c107330505418b7f
SHA256: 9377baf1fbb8eafda6835cca9c7be83e5160101bf4acba30a36914b361f09e53
SHA512: 3087869729bfd003ba8f6d82cf563aeb3edbe14f240fc8fdb4a7c51289f0f821dfd6c1aa0489236c5ad653781fb882bbff40cbe8b818213e4a9d3309f2f4088e
Homepage: https://cran.r-project.org/package=MarkowitzR
Description: CRAN Package 'MarkowitzR' (Statistical Significance of the Markowitz Portfolio)
 A collection of tools for analyzing significance of Markowitz portfolios,
 using the delta method on the second moment matrix, <arxiv:1312.0557>.

Package: r-cran-marl
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-marl_1.0-1.ca2004.1_all.deb
Size: 41892
MD5sum: 5d537fca05b1a5235ec10edd5f3d3007
SHA1: bfbe12441a659831a820ee9bbc718cd8222b625c
SHA256: 94e38c94e1cde11c3579132d1ccf404f1e0b07b98a908a4988d2bf0b520c9e7e
SHA512: 370d12060d40c0fc07c6f8ce84d1cc97c550f13ef890c71103f87512e737a2ca6054883605096498aff1dcd45bd79a764927bf760cd4f87428a23bcb5dd59ea7
Homepage: https://cran.r-project.org/package=marl
Description: CRAN Package 'marl' (Multivariate Analysis Based on Relative Likelihoods)
 Functions provided allow data simulation; construction of weighted relative
 likelihood functions; clustering and principal component analysis based on
 weighted relative likelihood functions.

Package: r-cran-marlod
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-quantreg, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-marlod_0.2.1-1.ca2004.1_all.deb
Size: 466736
MD5sum: 490b51ec48cf09be7a33aed76b516ae6
SHA1: 7eb847705f47e74c0b6a665b9c8a5c97f3a0dfc0
SHA256: db209c6177f74e856bdb2e1ba3aee73ef4294a264c8071009afae5a1c680755f
SHA512: d228938e386c89c5049a54921e2d1d12cf3793b95feac6aafe41bb76cf521237e5a75ad890ee55cacef341bf8d6025b7e4fa32931029e7e61c08116b0109cd86
Homepage: https://cran.r-project.org/package=marlod
Description: CRAN Package 'marlod' (Marginal Modeling for Exposure Data with Values Below the LOD)
 Functions of marginal mean and quantile regression models are used to
 analyze environmental exposure and biomonitoring data with repeated
 measurements and non-detects (i.e., values below the limit of detection
 (LOD)), as well as longitudinal exposure data that include non-detects and
 time-dependent covariates. For more details see Chen IC, Bertke SJ, Curwin
 BD (2021) <doi:10.1038/s41370-021-00345-1>, Chen IC, Bertke SJ, Estill CF
 (2024) <doi:10.1038/s41370-024-00640-7>, Chen IC, Bertke SJ, Dahm MM (2024)
 <doi:10.1093/annweh/wxae068>, and Chen IC (2025)
 <doi:10.1038/s41370-025-00752-8>.

Package: r-cran-marmap
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2786
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-gdistance, r-cran-geosphere, r-cran-sp, r-cran-raster, r-cran-ncdf4, r-cran-plotrix, r-cran-shape, r-cran-reshape2, r-cran-adehabitatma, r-cran-ggplot2
Suggests: r-cran-maps, r-cran-mapdata, r-cran-lattice, r-cran-mapproj, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-marmap_1.0.10-1.ca2004.1_all.deb
Size: 2734724
MD5sum: 2a78aca21b964247f0a13dc593b10c31
SHA1: aaf498d164a01e503a9a458737f10b0dc2c434cb
SHA256: 3228f72ed66cb823db89e70fb69e77b3aa4397d89e027eca8f28bd9ce6e058b8
SHA512: d1036731da535821978e6c1ec290a27861133b05e700c2e318867e82a52b5fdd84d7b4580a2747448f1b7d333be3ec3f28afb5fa59a4b97fd55dcdd4471b571c
Homepage: https://cran.r-project.org/package=marmap
Description: CRAN Package 'marmap' (Import, Plot and Analyze Bathymetric and Topographic Data)
 Import xyz data from the NOAA (National Oceanic and Atmospheric
 Administration, <https://www.noaa.gov>), GEBCO (General Bathymetric Chart of
 the Oceans, <https://www.gebco.net>) and other sources, plot xyz data to
 prepare publication-ready figures, analyze xyz data to extract transects,
 get depth / altitude based on geographical coordinates, or calculate
 z-constrained least-cost paths.

Package: r-cran-marmot
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-parsec
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-marmot_0.0.4-1.ca2004.1_all.deb
Size: 154192
MD5sum: 8a8d60c096a1fb4d4ab99077615220e5
SHA1: b67f8e6dd60691fa86951aa9fa0699d8dcc13b20
SHA256: 9dfed22dbdd1312c5fbef636447f7a0e1eff78aa517c60e13e2bd4750b4dfefc
SHA512: 55967937305c79c7bb35f648c52021d103bbebef8ff9cd009dce405f4857c2e2246d71171caa61614f4e96d5573030e76476aafe906ec36933b5d5a5695454e1
Homepage: https://cran.r-project.org/package=MARMoT
Description: CRAN Package 'MARMoT' (Matching on Poset-Based Average Rank for Multiple Treatments(MARMoT))
 It contains the function to apply MARMoT balancing technique discussed in:
 Silan, Boccuzzo, Arpino (2021) <DOI:10.1002/sim.9192>, Silan, Belloni,
 Boccuzzo, (2023) <DOI:10.1007/s10260-023-00695-0>; furthermore it contains a
 function for computing the Deloof's approximation of the average rank (and
 also a parallelized version) and a function to compute the Absolute
 Standardized Bias.

Package: r-cran-marp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gtools, r-cran-statmod, r-cran-vgam
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-marp_0.1.0-1.ca2004.1_all.deb
Size: 223172
MD5sum: 272bffe4b948301884be43d8b2c9441a
SHA1: 25b84231811c369126b774a4b064a4ba30b7d10a
SHA256: 9e7ab7cd8c58f4db5ac1977a35087d7a7c8f2c0df627ddacdde7fb004aef1457
SHA512: 85d3262759cd900b271fcc93eab8aa1b0c50f113c314e6c44c0edacaa36151b77963f852462ca2759fc79fa774c1588594ad0679db8d50ef8c067affcc6234b0
Homepage: https://cran.r-project.org/package=marp
Description: CRAN Package 'marp' (Model-Averaged Renewal Process)
 To implement a model-averaging approach with different renewal models, with
 a primary focus on forecasting large earthquakes. Based on six renewal
 models (i.e., Poisson, Gamma, Log-Logistics, Weibull, Log-Normal and BPT),
 model-averaged point estimates are calculated using AIC (or BIC) weights.
 Additionally, both percentile and studentized bootstrapped model-averaged
 confidence intervals are constructed. In comparison, point and interval
 estimation from the individual or "best" model (determined via model
 selection) can be retrieved.

Package: r-cran-marradistrees
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-marradistrees_1.0-1.ca2004.1_all.deb
Size: 16372
MD5sum: d557ada8400aa9c49e2a7493584c88c9
SHA1: 4b1771a8376a2f515f438a26f176f018ad6ecd58
SHA256: 6b96f84f6166bb72c5aa6ab3cbe4005657cf1c1951c66b1be5a39a80d21d6d37
SHA512: 918a46bc96fc450e6c2ba3419f8c3525a3878177984b6687d41ec43de458a3d222c18f062bff00afb619cd396182ca36749ffd9abf82a118e260c47c142ca78c
Homepage: https://cran.r-project.org/package=marradistrees
Description: CRAN Package 'marradistrees' (Plots a Tree-Like Representation of a Numerical Variable(Marradi's Tree))
 Provides a single function plotting Marradi's trees: a graphical
 representation of a numerical variable for comparing the variable mean and
 standard deviation across subgroups. See A. Marradi "L'analisi monovariata"
 (1993, ISBN: 9788820496876).

Package: r-cran-mars
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-corpcor, r-cran-matrixcalc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mars_0.2.2-1.ca2004.1_all.deb
Size: 179320
MD5sum: 3772bad24716dcb092c7bf7e2dcd825d
SHA1: 3a09e904ce89396f5f098ba37128b79030c1bd86
SHA256: d17f49f57018a2b72a2671e0f43db5f5742cbba62adafb9becfd931321924846
SHA512: 674dda51306e8ee1e80ad891bad1bd00708b3add02ea0e834ce980ba039374189f383f7fa3df8d36237529dc93f3227952838646dadd2e8faaa6fea50e8476b7
Homepage: https://cran.r-project.org/package=mars
Description: CRAN Package 'mars' (Meta Analysis and Research Synthesis)
 Includes functions for conducting univariate and multivariate meta-analysis.
 This includes the estimation of the asymptotic variance-covariance matrix of
 effect sizes.  For more details see Becker (1992) <doi:10.2307/1165128>,
 Cooper, Hedges, and Valentine (2019) <doi:10.7758/9781610448864>, and
 Schmid, Stijnen, and White (2020) <doi:10.1201/9781315119403>.

Package: r-cran-marsannhybrid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-neuralnet, r-cran-earth
Filename: pool/dists/focal/main/r-cran-marsannhybrid_0.1.0-1.ca2004.1_all.deb
Size: 12956
MD5sum: 68160209f796e6246e2bfde59ab80182
SHA1: 4dea091efae274216d1c3c33595ea39db1e17986
SHA256: e11ddae4a0118774b1172a8ae10acaf1a4a37f0e326c38733990efc4221e018d
SHA512: 987b6e6a97796c762315ae1ae41148125101a28f82c79a6c2860b204f602df3eaeba0fbce20b9495c17ba870d1c4f41a02a9e08de13905bc49912c5632e39c31
Homepage: https://cran.r-project.org/package=MARSANNhybrid
Description: CRAN Package 'MARSANNhybrid' (MARS Based ANN Hybrid Model)
 Multivariate Adaptive Regression Spline (MARS) based Artificial Neural
 Network (ANN) hybrid model is combined Machine learning hybrid approach
 which selects important variables using MARS and then fits ANN on the
 extracted important variables.

Package: r-cran-marsgwr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qpdf, r-cran-numbers, r-cran-earth
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-marsgwr_0.1.0-1.ca2004.1_all.deb
Size: 28180
MD5sum: 6a1cc2fc42b3f561cdad9d1508c55e8e
SHA1: 4869813c0c572e93ee05afa181d9e5d57adeaa94
SHA256: 555bd774e1b92ed67b02a875884bea3f1d7beb384f9b2d21cc29a5ec220994f1
SHA512: 5b68d3ae724b16f8bddc35e59969c4ad04638b859e430047b1c7414da69bec65dd14c1f60691e40a31f354e3a47bd6a5e3fd32ef6b501e97252c83e4563863d7
Homepage: https://cran.r-project.org/package=MARSGWR
Description: CRAN Package 'MARSGWR' (A Hybrid Spatial Model for Capturing Spatially VaryingRelationships Between Variables in the Data)
 It is a hybrid spatial model that combines the strength of two widely used
 regression models, MARS (Multivariate Adaptive Regression Splines) and GWR
 (Geographically Weighted Regression) to provide an effective approach for
 predicting a response variable at unknown locations. The MARS model is used
 in the first step of the development of a hybrid model to identify the most
 important predictor variables that assist in predicting the response
 variable. For method details see, Friedman, J.H. (1991).
 <DOI:10.1214/aos/1176347963>.The GWR model is then used to predict the
 response variable at testing locations based on these selected variables
 that account for spatial variations in the relationships between the
 variables. This hybrid model can improve the accuracy of the predictions
 compared to using an individual model alone.This developed hybrid spatial
 model can be useful particularly in cases where the relationship between the
 response variable and predictor variables is complex and non-linear, and
 varies across locations.

Package: r-cran-marss
Architecture: all
Version: 3.11.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4691
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-generics, r-cran-kfas, r-cran-mvtnorm, r-cran-nlme
Suggests: r-cran-forecast, r-cran-ggplot2, r-cran-hmisc, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-marss_3.11.9-1.ca2004.1_all.deb
Size: 3486420
MD5sum: 9e4655a41439cfda6c1bf2d3917f88ba
SHA1: 16b16f24dea7cb1d77a5ce83487aa75562c0db0b
SHA256: 2779331f87b981054a3c7e0a66e179d621004b4fdfde25ffde1b7b574f9295cc
SHA512: c3f8a8e15493c5062231ea548d612c81e866d336bccb6bd43f0c60899fc789bfb8a4c9479888c05dce170fd0bf8a03c1fe1728105afea25c08649e8c5b40c9a1
Homepage: https://cran.r-project.org/package=MARSS
Description: CRAN Package 'MARSS' (Multivariate Autoregressive State-Space Modeling)
 The MARSS package provides maximum-likelihood parameter estimation for
 constrained and unconstrained linear multivariate autoregressive state-space
 (MARSS) models, including partially deterministic models. MARSS models are a
 class of dynamic linear model (DLM) and vector autoregressive model (VAR)
 model. Fitting available via Expectation-Maximization (EM), BFGS (using
 optim), and 'TMB' (using the 'marssTMB' companion package). Functions are
 provided for parametric and innovations bootstrapping, Kalman filtering and
 smoothing, model selection criteria including bootstrap AICb, confidences
 intervals via the Hessian approximation or bootstrapping, and all
 conditional residual types. See the user guide for examples of dynamic
 factor analysis, dynamic linear models, outlier and shock detection, and
 multivariate AR-p models.  Online workshops (lectures, eBook, and computer
 labs) at <https://atsa-es.github.io/>.

Package: r-cran-marssvrhybrid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-earth
Filename: pool/dists/focal/main/r-cran-marssvrhybrid_0.1.0-1.ca2004.1_all.deb
Size: 13072
MD5sum: 5d94f30bd29a522b5454fc430ef992e8
SHA1: 2f890e50c051fca836bec5ce729f4c66bdccb6d5
SHA256: 882785258db3a8b169a2fae7d297d6547488ccc0d8e13d495b23d68c184a0333
SHA512: af2b4a0e3c8f6396c294e232eb1945783daab75f54bb3c8649a6ef6f324b349377acee331fa627a4c297e1ff6158f1586a8b6fc73404390e6722341f8319cf33
Homepage: https://cran.r-project.org/package=MARSSVRhybrid
Description: CRAN Package 'MARSSVRhybrid' (MARS SVR Hybrid)
 Multivariate Adaptive Regression Spline (MARS) based Support Vector
 Regression (SVR) hybrid model is combined Machine learning hybrid approach
 which selects important variables using MARS and then fits SVR on the
 extracted important variables.

Package: r-cran-marvel
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4518
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-plyr, r-cran-scales
Suggests: r-bioc-annotationdbi, r-bioc-biostrings, r-bioc-bsgenome, r-bioc-bsgenome.hsapiens.ncbi.grch38, r-bioc-clusterprofiler, r-cran-factoextra, r-cran-factominer, r-cran-fitdistrplus, r-bioc-genomicranges, r-cran-ggnewscale, r-cran-ggrepel, r-cran-gridextra, r-cran-gtools, r-bioc-iranges, r-cran-kableextra, r-cran-knitr, r-cran-ksamples, r-cran-markdown, r-bioc-mast, r-bioc-org.hs.eg.db, r-bioc-org.mm.eg.db, r-cran-pheatmap, r-cran-reshape2, r-cran-rmarkdown, r-bioc-s4vectors, r-cran-stringr, r-cran-textclean, r-cran-twosamples, r-bioc-wiggleplotr
Filename: pool/dists/focal/main/r-cran-marvel_1.4.0-1.ca2004.1_all.deb
Size: 3821764
MD5sum: 4d6efa4f24f4fae0d70d1333a5b23f48
SHA1: c16dd077c2b785ef9fd976b5c0696a041dab15bb
SHA256: 339182c9525b9e9879149170beb6bebcb6d876e3aa862aa1ec2023f381af3e17
SHA512: 09f0f37535198fdedaccc36dbd8dd94959c3d36938cae9014cfb7411575abe8e83c04253e5b674c5825a363c02e233555c6cb0fe83e66a6769b536c6317b501a
Homepage: https://cran.r-project.org/package=MARVEL
Description: CRAN Package 'MARVEL' (Revealing Splicing Dynamics at Single-Cell Resolution)
 Alternative splicing represents an additional and underappreciated layer of
 complexity underlying gene expression profiles. Nevertheless, there remains
 hitherto a paucity of software to investigate splicing dynamics at
 single-cell resolution. 'MARVEL' enables splicing analysis of single-cell
 RNA-sequencing data generated from plate- and droplet-based library
 preparation methods.

Package: r-cran-masae
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3071
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-forestinventory, r-cran-josae, r-cran-knitr, r-cran-microbenchmark, r-cran-nlme, r-cran-pkgload, r-cran-rmarkdown, r-cran-rprojroot, r-cran-rsae, r-cran-runit, r-cran-r.rsp, r-cran-sae, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-masae_2.0.3-1.ca2004.1_all.deb
Size: 1303956
MD5sum: 0063c26df3cde20907e6c48c502aa639
SHA1: 502836a354d479f866b002988124c8e8ed084ae6
SHA256: a7ed95b0004a517ff1ede13f917017ff561bbd82bc7bebff33a3921065e68379
SHA512: 7356fdc3cd9f05fa87c7c2d4c377cc93780d95e5c15b570470f8015df0acda631bbfef29d22dec917ae098649213fd59d78ee84549d1322ec7149aa0b47bf582
Homepage: https://cran.r-project.org/package=maSAE
Description: CRAN Package 'maSAE' (Mandallaz' Model-Assisted Small Area Estimators)
 An S4 implementation of the unbiased extension of the model- assisted
 synthetic-regression estimator proposed by Mandallaz (2013)
 <DOI:10.1139/cjfr-2012-0381>, Mandallaz et al. (2013)
 <DOI:10.1139/cjfr-2013-0181> and Mandallaz (2014)
 <DOI:10.1139/cjfr-2013-0449>.  It yields smaller variances than the standard
 bias correction, the generalised regression estimator.

Package: r-cran-maskr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-pillar, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-dplyr, r-cran-fansi, r-cran-testthat, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-maskr_0.1.0-1.ca2004.1_all.deb
Size: 34328
MD5sum: 9c978acfe1aeee904411df171fa4ca37
SHA1: 29e33f3319280a0fdff0fceaede2c665d0fd809b
SHA256: 0b58bd7fe72c95137bd5bcff5f71e836a0a789b97ac84cbc2feb17963f00dc72
SHA512: 075e66908f033ce31b91d7dc7f88bf93738662ab8108b644f98ff3f95fa12f0f44055ab5cceb80c38dec3b200d32a1f0652a3d0ef807ab0e1a6f1e68aa563245
Homepage: https://cran.r-project.org/package=maskr
Description: CRAN Package 'maskr' (Visual Class for Vectors with Non-Publishing Requirements)
 Create vectors with sticky flags for elements that should not be displayed.
 Numeric vectors have basic subset and arithmetic methods implemented.

Package: r-cran-maskranger
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1346
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-e1071, r-cran-lubridate, r-cran-magrittr, r-cran-raster, r-cran-sp
Suggests: r-cran-dismo, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-wallace
Filename: pool/dists/focal/main/r-cran-maskranger_1.1-1.ca2004.1_all.deb
Size: 973284
MD5sum: d840e7faf05f93e2663dedd72f9ce650
SHA1: b58c9f4c65c8d592d31325f64be3e07e85ffb6ab
SHA256: 642d9bc3b815218d3608db28fbf3e30a0f444a6734797ceae9abaa9a91ab7533
SHA512: 840feed9b1b4eac7cb0da8a3ae52c7adc042a93b42a77031ebc99e0d0723075e7bc9cc502bf225ec5e3c06b0644b20f4ed55fe06ca0401b2d3d2e2d4302658af
Homepage: https://cran.r-project.org/package=maskRangeR
Description: CRAN Package 'maskRangeR' (Mask Species Geographic Ranges)
 Mask ranges based on expert knowledge or remote sensing layers. These tools
 can be combined to quantitatively and reproducibly generate a new map or to
 update an existing map.  Methods include expert opinion and data-driven
 tools to generate thresholds for binary masks.

Package: r-cran-mason
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-geepack, r-cran-knitr, r-cran-mass, r-cran-pls, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mason_0.3.0-1.ca2004.1_all.deb
Size: 80276
MD5sum: 8375269927664eb9975de51cbae56873
SHA1: 1d4317e624345c0b644f0039ae3fb360fa997f65
SHA256: cc18d9ff43610c50b0e629deadd4260fc4ecd9d8220651273b74c781743de19e
SHA512: 2eaa0464e5d10e02eced244641ddf6327173cd1b9f6165808dac7a4a3a0b6c447bcfdf6b79159c84932d495ff4805a7e41a24daca59898e69a452f8da29447de
Homepage: https://cran.r-project.org/package=mason
Description: CRAN Package 'mason' (Build Data Structures for Common Statistical Analysis)
 Use a consistent syntax to create data structures of common statistical
 techniques that can be continued in a pipe chain.  Design the analysis, add
 settings and variables, construct the results, and polish the final
 structure. Rinse and repeat for any number of statistical techniques.

Package: r-cran-masscor
Architecture: all
Version: 0.0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metrology
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-masscor_0.0.7.1-1.ca2004.1_all.deb
Size: 427812
MD5sum: 94f2b767cb4d931ddddfba72802c7b5f
SHA1: 28750d6f2b630e44fbb1d8a2d82eebb818fb6856
SHA256: efa6705fa125932cdc5aeaa14f5d49c38b9f9335a271ab826dcbd7be387fe383
SHA512: 2c16ac14b64e58a89c419cb332a9eed9711ede3f5af6c9cc48d089a4fbc856171037db803de78c9ae3457e9b83c04e9cfe73ad010e5cad969cc680d05d0b2af4
Homepage: https://cran.r-project.org/package=masscor
Description: CRAN Package 'masscor' (Mass Measurement Corrections)
 Mass measurement corrections and uncertainties using calibration data, as
 recommended by EURAMET's guideline No. 18 (2015) ISBN:978-3-942992-40-4 .
 The package provides classes, functions, and methods for storing information
 contained in calibration certificates and converting balance readings to
 both conventional mass and real mass.  For the latter, the Magnitude of the
 Air Buoyancy Correction factor employs models (such as the CIMP-2007 formula
 revised by Picard, Davis, Gläser, and Fujii (2008)
 <doi:10.1088/0026-1394/45/2/004>) to estimate the local air density using
 measured environmental conditions.

Package: r-cran-massextra
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 998
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-demokde
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork, r-cran-visreg, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-massextra_1.2.2-1.ca2004.1_all.deb
Size: 678688
MD5sum: 24564759c92f435b821c1b5ad0faec40
SHA1: adeb225f1ddcc4a3860ac70ad6addd9883cd0b4c
SHA256: be2f3425f6afbafcd0fcf15593090f1e12e933efe556012699f3943025ef640a
SHA512: d7f12bb5caa6182c6c2d3b19147bacf3e2d4b64694c9ef92836108a5bda0b8778c2e223110083f386b7e1496c2ef2663d95206169192925513f0d075b012d2cd
Homepage: https://cran.r-project.org/package=MASSExtra
Description: CRAN Package 'MASSExtra' (Some 'MASS' Enhancements)
 Some enhancements, extensions and additions to the facilities of the
 recommended 'MASS' package that are useful mainly for teaching purposes,
 with more convenient default settings and user interfaces.  Key functions
 from 'MASS' are imported and re-exported to avoid masking conflicts.  In
 addition we provide some additional functions mainly used to illustrate
 coding paradigms and techniques, such as Gramm-Schmidt orthogonalisation and
 generalised eigenvalue problems.

Package: r-cran-massign
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-massign_1.1.0-1.ca2004.1_all.deb
Size: 16252
MD5sum: 1f10d21e595b3d1102bb778cf0eded72
SHA1: 1fc3f9de7679dda437e5114abf6d69286aa538aa
SHA256: 2fff7b545ee8301613cbcdd7c0b5cd194a777773bee31ea4b90f8c925e96f891
SHA512: edb8c67fa42b795d833f2cd6cc165896774c14c4b062f93c38e9b8c4ba77b05000bed96607cfbaaedc0a7de6ab62e39807688d429cd2085fd0087f61801f46bd
Homepage: https://cran.r-project.org/package=Massign
Description: CRAN Package 'Massign' (Simple Matrix Construction)
 Constructing matrices for quick prototyping can be a nuisance, requiring the
 user to think about how to fill the matrix with values using the matrix()
 function. The %<-% operator solves that issue by allowing the user to
 construct matrices using code that shows the actual matrices.

Package: r-cran-massivegst
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3258
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formattable, r-cran-writexls, r-cran-igraph, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-massivegst_1.2.4-1.ca2004.1_all.deb
Size: 1306740
MD5sum: 6005c7a420878b2d8d63859cb5373326
SHA1: 512adf4126d3ec1c34089eb0111528e14b70f17e
SHA256: 703373ecb617a16af7fd19bc37dd2e9d57c422d764da6292290cfa55c71c0105
SHA512: c52775950155fec17cae06b6ad85df52f69c6097daabb60fae0ba230206feabf9e44e4858d5812c78f82a5c173adb181065331b14413ecc4cc9608d1ad1b2ee7
Homepage: https://cran.r-project.org/package=massiveGST
Description: CRAN Package 'massiveGST' (Competitive Gene Sets Test with the Mann-Whitney-Wilcoxon Test)
 Friendly implementation of the Mann-Whitney-Wilcoxon test for competitive
 gene set enrichment analysis.

Package: r-cran-massprops
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rolluptree
Suggests: r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-massprops_0.3.3-1.ca2004.1_all.deb
Size: 299960
MD5sum: 34e5c18ac70313a487896a041f5b2980
SHA1: 76c90c00477bc76c6bcf07bb7a6bb8c1959b7e51
SHA256: 2b45d1924996c3f42a1bcaa1a58339ade3914fc9edd4ce31f09e7521a5704dba
SHA512: d3df516365994425eb7bf0715546903b9bdbe05894884b90f3a68e33c52d9d3401e20ec92d4b008a84350451405d21fdec81643615fb9e5779e5368fe77130ee
Homepage: https://cran.r-project.org/package=massProps
Description: CRAN Package 'massProps' (Calculate Mass Properties and Uncertainties of Tree Structures)
 Recursively calculates mass properties (mass, center of mass, moments and
 products of inertia, and optionally, their uncertainties) for arbitrary
 decomposition trees. R. L. Zimmerman, J. H. Nakai. (2005)
 <https://www.sawe.org/product/paper-3360/>).

Package: r-cran-masstimate
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-masstimate_2.0-1-1.ca2004.1_all.deb
Size: 148940
MD5sum: 96d48d26c256ac5ee3a0b8a22010201e
SHA1: eb3c996837ea48a52286a8b618d3dc0995125c6a
SHA256: e88b7105d701e3f7cbf1f103835dfb66b9206455652e5b1c98192b0df633171e
SHA512: ad018de342c7b3ea28f42ecc12f4b51dbb7588b5a51c40c8e0feece3d81656377c88f113208a2fb5736e2cec8d8a0bbfaeb8fb0559c3a1a38bde3e113403dc56
Homepage: https://cran.r-project.org/package=MASSTIMATE
Description: CRAN Package 'MASSTIMATE' (Body Mass Estimation Equations for Vertebrates)
 Estimation equations are from a variety of sources and associated error
 estimation.

Package: r-cran-masswater
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1872
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-flextable, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggspatial, r-cran-httr, r-cran-lubridate, r-cran-maptiles, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-readxl, r-cran-sf, r-cran-tidyr, r-cran-tidyterra, r-cran-tibble, r-cran-units, r-cran-writexl
Suggests: r-cran-covr, r-cran-knitr, r-cran-patchwork, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-masswater_2.2.0-1.ca2004.1_all.deb
Size: 1550316
MD5sum: 120e018086d67ac4bebead2b34372ab0
SHA1: e64ce9ab9b6a1233cf329d852c5ab42e43e975d8
SHA256: d4e19aadb888f9d2ba202ec29ab972b3831699a08b06eb7f973a97f28f70d8fd
SHA512: d032185545bff47efa36d0710d22918781bba72a9872151351211b72faacaf8dffff3a145d61ab8a6c4a5755176d4027bcca182c9ede3e68cd9ff83e1b6a03e8
Homepage: https://cran.r-project.org/package=MassWateR
Description: CRAN Package 'MassWateR' (Quality Control and Analysis of Massachusetts Water Quality Data)
 Methods for quality control and exploratory analysis of surface water
 quality data collected in Massachusetts, USA.  Functions are developed to
 facilitate data formatting for the Water Quality Exchange Network
 <https://www.epa.gov/waterdata/water-quality-data-upload-wqx> and reporting
 of data quality objectives to state agencies. Quality control methods are
 from Massachusetts Department of Environmental Protection (2020)
 <https://www.mass.gov/orgs/massachusetts-department-of-environmental-protection>.

Package: r-cran-mata
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mata_0.7.1-1.ca2004.1_all.deb
Size: 20220
MD5sum: 2b4c6118a1a38acfd80d80dcb144c7c9
SHA1: f171529a61f75ac3fd0edd0bb5bacbbc2e8ab68a
SHA256: a2606c5398f49aa901a5ac7d1da3341c89af37ca8e709c2c9d58ae7bb0644843
SHA512: c92440c99a393f9280c6650da751a1818fd50382eef79afbc418e402a473e8117b6e7a12781bf6cde101240d165eb916355520d851ec7771468898104b67a657
Homepage: https://cran.r-project.org/package=MATA
Description: CRAN Package 'MATA' (Model-Averaged Tail Area (MATA) Confidence Interval andDistribution)
 Calculates Model-Averaged Tail Area Wald (MATA-Wald) confidence intervals,
 and MATA-Wald confidence densities and distributions, which are constructed
 using single-model frequentist estimators and model weights. See Turek and
 Fletcher (2012) <doi:10.1016/j.csda.2012.03.002> and Fletcher et al (2019)
 <doi:10.1007/s10651-019-00432-5> for details.

Package: r-cran-matahari
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstudioapi, r-cran-tibble, r-cran-readr, r-cran-jsonlite, r-cran-clipr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-matahari_0.1.3-1.ca2004.1_all.deb
Size: 105824
MD5sum: 04dac18aea5299c0461e6772677a719b
SHA1: 2b1fa1f4d223698b16855defd5ecc0728f2339db
SHA256: 3756f342a77b1eb960d2a07bcd728e8cdf00378f706c91df54410caac44198e6
SHA512: da3247c7185e83295e9ed4cefa9ebc110e6f64032b1bd259d723e73cd2f17206ef2bd5e542d78af7f9d4969220bc8493a50acc5f45b2fcb7eb815fce60887031
Homepage: https://cran.r-project.org/package=matahari
Description: CRAN Package 'matahari' (Spy on Your R Session)
 Conveniently log everything you type into the R console. Logs are are stored
 as tidy data frames which can then be analyzed using 'tidyverse' style
 tools.

Package: r-cran-matchbook
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-matchbook_1.0.7-1.ca2004.1_all.deb
Size: 85748
MD5sum: 0a02e41bbf16400c0c49ff03791aa9b0
SHA1: b7362282c4d90e1dee690e7e2295be3ba8e12a13
SHA256: dc59ed3d53fec331d0bce130922e407e79de087ab86ff64556381b22651eadb1
SHA512: 3edd9364ff4f99f5741047f28d7fe0c9a350bd6f53556957c0d2c5943edc39ce07ae51e488ae072b3cebfc5aea05bcc0187b88c36a007e0db7e4b5e340f4f5f8
Homepage: https://cran.r-project.org/package=matchbook
Description: CRAN Package 'matchbook' (Wrapper for the 'Matchbook' API)
 Provides a wrapper for the some basic functionality around the 'Matchbook'
 <http://www.matchbook.com> REST API. It features calls to get events,
 markets and runners in data frame format. It features functions for bet
 placement and position management and also allows reporting of settled bet
 transactions. Note: this package uses the back-lay format. The default for
 odds type, currency and language are set according to those of the
 registered user account.

Package: r-cran-matchedcc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-binom
Suggests: r-cran-testthat, r-cran-readr, r-cran-vctrs, r-cran-stringr, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstata
Filename: pool/dists/focal/main/r-cran-matchedcc_0.1.1-1.ca2004.1_all.deb
Size: 216328
MD5sum: 44c389f257f42b8d49245d7b9565015f
SHA1: 4cc99e086c95b5cce42260abca646ddd1c1c14f6
SHA256: b5b5a26a38e7968ade41b0d0d44fe11337208d5fe75db5d028fbbc1688a8642c
SHA512: 4150f22fef2926bdaf1cf0cd89b2d342162b0c3b834f739a540b4dfa0645cc5830d4ff164f040556261a21e856f457ff1674d402dc9378dcee4c4a79f80d07d5
Homepage: https://cran.r-project.org/package=matchedcc
Description: CRAN Package 'matchedcc' ('Stata'-Like Matched Case-Control Analysis)
 Calculate multiple statistics with confidence intervals for matched
 case-control data including risk difference, risk ratio, relative
 difference, and the odds ratio. Results are equivalent to those from
 'Stata', and you can choose how to format your input data. Methods used are
 those described on page 56 the 'Stata' documentation for "Epitab - Tables
 for Epidemologists" <https://www.stata.com/manuals/repitab.pdf>.

Package: r-cran-matchfeat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clue, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-matchfeat_1.0-1.ca2004.1_all.deb
Size: 186540
MD5sum: 2103d111c5d0def8b2861e6574ebc29d
SHA1: aef60f07d3243723bc1bfbbef54fef328e8a4b71
SHA256: 607b218a0eb673160bf2e851bd10cbf33bd5cc000adab3cf418732c518867001
SHA512: df3d73c89ac9dc88399e51e07bc003e1ac40a3a962c1c228e7d594407d5deaa92830787a1de21b48bc5b7ed1acd72cb57d601f5eb0e6a3092dfda0e37bab434c
Homepage: https://cran.r-project.org/package=matchFeat
Description: CRAN Package 'matchFeat' (One-to-One Feature Matching)
 Statistical methods to match feature vectors between multiple datasets in a
 one-to-one fashion. Given a fixed number of classes/distributions, for each
 unit, exactly one vector of each class is observed without label. The goal
 is to label the feature vectors using each label exactly once so to produce
 the best match across datasets, e.g. by minimizing the variability within
 classes. Statistical solutions based on empirical loss functions and
 probabilistic modeling are provided. The 'Gurobi' software and its 'R'
 interface package are required for one of the package functions (match.2x())
 and can be obtained at <https://www.gurobi.com/> (free academic license).
 For more details, refer to Degras (2022) <doi:10.1080/10618600.2022.2074429>
 "Scalable feature matching for large data collections" and Bandelt, Maas,
 and Spieksma (2004) <doi:10.1057/palgrave.jors.2601723> "Local search
 heuristics for multi-index assignment problems with decomposable costs".

Package: r-cran-matchgate
Architecture: all
Version: 0.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-locpol
Filename: pool/dists/focal/main/r-cran-matchgate_0.0.10-1.ca2004.1_all.deb
Size: 21224
MD5sum: 7c6624a7b346f861be28e41fd879bfae
SHA1: c200efe350d2a9ad9743e7e4082094a7ce2a8b81
SHA256: 3cf27f556b8a7f62ab0b12067e5e09b3be8f0e6931cfe2a7f5ab28a59a609ac2
SHA512: 6752bfed34eeef814b348f5a798fa534b6aa0c56bcc24d676185e4e879ce459641f12f56a9d36a0dbc4fd58d68f623c180a6919fdf2d9370d4ffc56fea2c27b8
Homepage: https://cran.r-project.org/package=MatchGATE
Description: CRAN Package 'MatchGATE' (Estimate Group Average Treatment Effects with Matching)
 Two novel matching-based methods for estimating group average treatment
 effects (GATEs). The match_y1y0() and match_y1y0_bc() functions are used for
 imputing the potential outcomes based on matching and bias-corrected
 matching techniques, respectively. The EstGATE() function is employed to
 estimate the GATE after imputing the potential outcomes.

Package: r-cran-matchlinreg
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 592
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hmisc, r-cran-matching
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-matchlinreg_0.8.1-1.ca2004.1_all.deb
Size: 475692
MD5sum: fffa1a57812a6f837bcf160d0fbc71fa
SHA1: a082300fefd93fcbd02eeb931e61ba91466c57a1
SHA256: 16d1a90aae3f4f609d7906d192f2dfdfa476b5327989b9e52b13c04cbdbdb01a
SHA512: 1f335122b6cb0e431ff0e224f09f9c1470b20ea0f6ef84e7a3462f905de5d8eec88759996c6e78b05f17cbb30f0d5596e0621855e7fad85695855c559c817a74
Homepage: https://cran.r-project.org/package=MatchLinReg
Description: CRAN Package 'MatchLinReg' (Combining Matching and Linear Regression for Causal Inference)
 Core functions as well as diagnostic and calibration tools for combining
 matching and linear regression for causal inference in observational
 studies.

Package: r-cran-matchmaker
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-forcats, r-cran-cli
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-matchmaker_0.1.1-1.ca2004.1_all.deb
Size: 53912
MD5sum: 60f7ee5568006516fce2bdec38c0a4c9
SHA1: 17b0fd8be80c1f60dd5c089a77a4f838e1246585
SHA256: 50cd848c29b8968699acfd63d48a764ba54fd82ddca504891874bad6461dd437
SHA512: 3939f4c0691886423397ce5b6bda79f25eca556b05b5598e22e12471d0ddba989413475f7d4ac17b2472b882a49bd9ea3cfd8ff4c9df2711a560e1cdc65d9f0c
Homepage: https://cran.r-project.org/package=matchmaker
Description: CRAN Package 'matchmaker' (Flexible Dictionary-Based Cleaning)
 Provides flexible dictionary-based cleaning that allows users to specify
 implicit and explicit missing data, regular expressions for both data and
 columns, and global matches, while respecting ordering of factors. This
 package is part of the 'RECON' (<https://www.repidemicsconsortium.org/>)
 toolkit for outbreak analysis.

Package: r-cran-matchmulti
Architecture: all
Version: 1.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-rcbsubset, r-cran-plyr, r-cran-coin, r-cran-weights, r-cran-mvtnorm, r-cran-mass, r-cran-sandwich, r-cran-magrittr
Suggests: r-cran-optmatch, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-matchmulti_1.1.14-1.ca2004.1_all.deb
Size: 603940
MD5sum: 2b66911da64390d77709f418a37a9ab5
SHA1: 7d466bd1eb4e42aa808186e96764007868f9ab56
SHA256: a16c0b802d4b3cb02c3f65eaae53c4c2264757e58b815829f8c70c1e22644bba
SHA512: 833dd11350be5bdef7b86a933c0abcfc964a7cf7ccce95e0329be37229f433232820f488c4a58caa2c8d1e253bc94e13bbd70cc273035654888cc26bab8174ae
Homepage: https://cran.r-project.org/package=matchMulti
Description: CRAN Package 'matchMulti' (Optimal Multilevel Matching using a Network Algorithm)
 Performs multilevel matches for data with cluster- level treatments and
 individual-level outcomes using a network optimization algorithm.  Functions
 for checking balance at the cluster and individual levels are also provided,
 as are methods for permutation-inference-based outcome analysis.  Details in
 Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>.  The optmatch package,
 which is useful for running many of the provided functions, may be
 downloaded from Github at <https://github.com/markmfredrickson/optmatch> if
 not available on CRAN.

Package: r-cran-matchr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-matchr_0.1.0-1.ca2004.1_all.deb
Size: 106360
MD5sum: cc28905418b80bc0588527f453d1a677
SHA1: c2d9e56fc7e320634291f9348550cdfecfaed1b0
SHA256: 0bb8f5272cec2eb0367cdc4d9dc2cee7b01ccd4786477451379035d59aab05ee
SHA512: 94957c6c632c9171ad2574c8572c160710250a830d8b40ad26e893890cc76ff977892a824fc2880dc60f58412a58e57fcf4ffaebc7ebb2697477120aa1562378
Homepage: https://cran.r-project.org/package=matchr
Description: CRAN Package 'matchr' (Pattern Matching and Enumerated Types in R)
 Inspired by pattern matching and enum types in Rust and many functional
 programming languages, this package offers an updated version of the
 'switch' function called 'Match' that accepts atomic values, functions,
 expressions, and enum variants.  Conditions and return expressions are
 separated by '->' and multiple conditions can be associated with the same
 return expression using '|'. 'Match' also includes support for
 'fallthrough'. The package also replicates the Result and Option enums from
 Rust.

Package: r-cran-matchthem
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matchit, r-cran-mice, r-cran-rlang, r-cran-survey, r-cran-weightit
Suggests: r-cran-amelia, r-cran-cobalt, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-matchthem_1.2.1-1.ca2004.1_all.deb
Size: 606372
MD5sum: 63249d79f938487d12ea52b06976640a
SHA1: a03d103523cc693a3889c44a27555a46878caab0
SHA256: 8afb137eb7ba5885c6993bd3a85107ab8736e896258fcfd92e50eacf189236dc
SHA512: d0d5d7ac5dd559caa65cfe0e6311305cd0327068022da326d2e81c16cec3eeea6c22a2566d1c11811aa042ac6c5cc1b5a17173311415157e89f0a74c2db011d4
Homepage: https://cran.r-project.org/package=MatchThem
Description: CRAN Package 'MatchThem' (Matching and Weighting Multiply Imputed Datasets)
 Provides essential tools for the pre-processing techniques of matching and
 weighting multiply imputed datasets. The package includes functions for
 matching within and across multiply imputed datasets using various methods,
 estimating weights for units in the imputed datasets using multiple
 weighting methods, calculating causal effect estimates in each matched or
 weighted dataset using parametric or non-parametric statistical models, and
 pooling the resulting estimates according to Rubin's rules (please see
 <https://journal.r-project.org/archive/2021/RJ-2021-073/> for more details).

Package: r-cran-matconv
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matconv_0.4.2-1.ca2004.1_all.deb
Size: 90472
MD5sum: a5f6825f64417d3dd5d11cfebd69c697
SHA1: 3ab0b00c2936fbc8a73633afdbcf3daab448a63d
SHA256: 640996a585ef02d93c0bfda0a8d88120f2c3a8ec6d4ac4285a91fb7d1c3a7316
SHA512: e1cf69cda2b7fb87a3e40c137823bb0a16867577023ccd3464cb196469fd8d5b2892eea25af0e82c6bc9fe4146932f397edc935af03f58745cd227092b48e066
Homepage: https://cran.r-project.org/package=matconv
Description: CRAN Package 'matconv' (A Code Converter from the Matlab/Octave Language to R)
 Transferring over a code base from Matlab to R is often a repetitive and
 inefficient use of time. This package provides a translator for Matlab /
 Octave code into R code. It does some syntax changes, but most of the heavy
 lifting is in the function changes since the languages are so similar.
 Options for different data structures and the functions that can be changed
 are given. The Matlab code should be mostly in adherence to the standard
 style guide but some effort has been made to accommodate different number of
 spaces and other small syntax issues. This will not make the code more R
 friendly and may not even run afterwards. However, the rudimentary syntax,
 base function and data structure conversion is done quickly so that the
 maintainer can focus on changes to the design structure.

Package: r-cran-materialmodifier
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2032
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jpeg, r-cran-magrittr, r-cran-png, r-cran-readbitmap, r-cran-stringr, r-cran-downloader, r-cran-imager, r-cran-moments
Filename: pool/dists/focal/main/r-cran-materialmodifier_1.2.0-1.ca2004.1_all.deb
Size: 2003888
MD5sum: e09e04415c7bba38ed3b82d46e7e5934
SHA1: 8744db5c85c1514fc03ec31a2f69442ce37a1a37
SHA256: 9475ce08ceca82f3b64ec50f398f961557994c8782076cfc943e106e8e075caa
SHA512: 6290ce5f98ea36cc6a9f0f4bd546c7d4e18ca13d4e1ecd7a6dd3c2bb9f1850fac717ef2e67ea156af7ffd4afa65c40ba0d3f0d42e97fd2c2d58f6e1888d396cd
Homepage: https://cran.r-project.org/package=materialmodifier
Description: CRAN Package 'materialmodifier' (Apply Photo Editing Effects)
 You can apply image processing effects that modifies the perceived material
 properties of objects in photos, such as gloss, smoothness, and blemishes.
 This is an implementation of the algorithm proposed by Boyadzhiev et al.
 (2015) "Band-Sifting Decomposition for Image Based Material Editing".
 Documentation and practical tips of the package is available at
 <https://github.com/tsuda16k/materialmodifier>.

Package: r-cran-mathml
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rolog, r-cran-knitr, r-cran-xfun
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mathml_1.3-1.ca2004.1_all.deb
Size: 116628
MD5sum: 16333f5e23ecc6b208b9bb94e3a61cbe
SHA1: 5f78c9602ea88d318184f043227f12f7c81e84bc
SHA256: 97a16182fc670cb828c3fae79bf1502322c4b090ca2dd0515533e37bf9ee56e1
SHA512: ee07f6bb2ba7e48600d6da0ea9ccc14832bc4d14be9b81058cae4ea9c312563697893272d6f540ed5e57109ca0adf3b8810947fd0dc704116795c3f488208a46
Homepage: https://cran.r-project.org/package=mathml
Description: CRAN Package 'mathml' (Translate R Expressions to 'MathML' and 'LaTeX'/'MathJax')
 Translate R expressions to 'MathML' or 'MathJax'/'LaTeX' so that they can be
 rendered in R markdown documents and shiny apps. This package depends on R
 package 'rolog', which requires an installation of the 'SWI'-'Prolog'
 runtime either from 'swi-prolog.org' or from R package 'rswipl'.

Package: r-cran-mathpix
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-purrr, r-cran-base64enc, r-cran-httr, r-cran-rstudioapi, r-cran-magick
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mathpix_0.6.0-1.ca2004.1_all.deb
Size: 31148
MD5sum: 7c55d1f41d89d3510ab6d4f36a88c705
SHA1: 17496087af4f4f7caef1ed6c4317bde28b6989e1
SHA256: 7cee6defc4c430b8ede2ed44cf08ca73a7505a03635995de1829b0f18a31c541
SHA512: 475af1a886941b1de6b8a6577f4af8b1746332bac436b92209c21239f588dd9ca591c45b77316d70b12889c568f582eef37143c2c0dad87c6403a27e353a7c53
Homepage: https://cran.r-project.org/package=mathpix
Description: CRAN Package 'mathpix' (Support for the 'Mathpix' API (Image to 'LaTeX'))
 Given an image of a formula (typeset or handwritten) this package provides
 calls to the 'Mathpix' service to produce the 'LaTeX' code which should
 generate that image, and pastes it into a (e.g. an 'rmarkdown') document.
 See <https://docs.mathpix.com/> for full details. 'Mathpix' is an external
 service and use of the API is subject to their terms and conditions.

Package: r-cran-maths.genealogy
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1927
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-httr2, r-cran-jsonlite, r-cran-later, r-cran-rlang, r-cran-rvest, r-cran-websocket
Suggests: r-cran-diagrammer, r-cran-diagrammersvg, r-cran-ggenealogy, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-rsvg, r-cran-svgpanzoom
Filename: pool/dists/focal/main/r-cran-maths.genealogy_0.1.2-1.ca2004.1_all.deb
Size: 979708
MD5sum: c17f543114b66ae37c0fca4b813aeb65
SHA1: d789ff6d556d38f7dfcf5f00598e37d2c208144c
SHA256: 830fe458f9d5dce553818dc0e3a80567261fface20911b788aea968d145848a7
SHA512: 045fae0c6653373b5bcf583e666609d28a1799387f1ce9fdf14c377e0e11d949de076bf89e07a5b96b3b1a0d1887849ac154f8d79dc12e2c958127f1304d613c
Homepage: https://cran.r-project.org/package=maths.genealogy
Description: CRAN Package 'maths.genealogy' (Mathematics PhD Genealogy Data and Plotting)
 Query, extract, and plot genealogical data from The Mathematics Genealogy
 Project <https://mathgenealogy.org/>. Data is gathered from the 'WebSocket'
 server run by the 'geneagrapher-core' project
 <https://github.com/davidalber/geneagrapher-core>.

Package: r-cran-matlab2r
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-styler
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matlab2r_1.5.0-1.ca2004.1_all.deb
Size: 114860
MD5sum: a5f0014445f1f9b596fca4b83b65ab38
SHA1: 770efda0e1339c156f9ba481e94f340b6db72f5e
SHA256: db4aafd07b9111b5dbaf538f4fedbab02691f68aa316cde07d965faf38712e29
SHA512: 682c260f65509a0e2cf612cd347cd405fa987156dfa8803ecef64d87b468cb54bfbcbaf76011014d3e71b26043a6146196c618cfcae3dfc13158705328d1bd30
Homepage: https://cran.r-project.org/package=matlab2r
Description: CRAN Package 'matlab2r' (Translation Layer from MATLAB to R)
 Allows users familiar with MATLAB to use MATLAB-named functions in R.
 Several basic MATLAB functions are written in this package to mimic the
 behavior of their original counterparts, with more to come as this package
 grows.

Package: r-cran-matlab
Architecture: all
Version: 1.0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-matlab_1.0.4.1-1.ca2004.1_all.deb
Size: 167808
MD5sum: e68a2873e326165fbf89c707a51bf48c
SHA1: 9b17a6e65958a7b6e72031eeb5a7cb2bfc8f3e53
SHA256: ecdd32028d175a1d67f2bb78b8a01f3378305abe9b7bf5d582f17a63e39541ce
SHA512: 852c5cd93263816972b1b6267030b0b40fa936f522a0618d086539208ce1582d166ad68a1067df255b8e3216ae7e2ef093df880195b20263115966a76ce586f4
Homepage: https://cran.r-project.org/package=matlab
Description: CRAN Package 'matlab' ('MATLAB' Emulation Package)
 Emulate 'MATLAB' code using 'R'.

Package: r-cran-matlabr
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-matlabr_1.5.2-1.ca2004.1_all.deb
Size: 32196
MD5sum: 2c8fec17fb732310c1782bd2e662c094
SHA1: 7631558c184074d6807f3e5f2cc87914af185fe4
SHA256: d8ce6d24b4b3b50c4d9f52f3634ced1f732a35e408b5ee7dae013ced9a64e65e
SHA512: e74e4fe3a2921610337965d0dd4330734279356dab9fa26409356f2b4c430592424da20f695388785438e8fd39cbc1569357d42c694f829e130fd820793da6d5
Homepage: https://cran.r-project.org/package=matlabr
Description: CRAN Package 'matlabr' (An Interface for MATLAB using System Calls)
 Provides users to call MATLAB from using the "system" command.  Allows users
 to submit lines of code or MATLAB m files.  This is in comparison to
 'R.matlab', which creates a MATLAB server.

Package: r-cran-matlib
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xtable, r-cran-mass, r-cran-rgl, r-cran-car, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi
Suggests: r-cran-cardata, r-cran-webshot2, r-cran-markdown, r-cran-bookdown, r-cran-clipr
Filename: pool/dists/focal/main/r-cran-matlib_1.0.0-1.ca2004.1_all.deb
Size: 685076
MD5sum: 7ddeb227813ebde95ad96289ece5382a
SHA1: 89db7cbc8e2a201d32ce79e80dd224f59531a8f9
SHA256: 357c198668c0046c051138c0b7187b4e48acbc8e2a1ef8cf3ff06e4b04bfc8a2
SHA512: 4d63c939529685bf1421d64ecdb93750e226a1ee1d522e2ad7cf6a0ab5c37aabbc6e1e4eb61954a9461e39d451a6867af2f2a9770026684447eb1b01741c595b
Homepage: https://cran.r-project.org/package=matlib
Description: CRAN Package 'matlib' (Matrix Functions for Teaching and Learning Linear Algebra andMultivariate Statistics)
 A collection of matrix functions for teaching and learning matrix linear
 algebra as used in multivariate statistical methods. These functions are
 mainly for tutorial purposes in learning matrix algebra ideas using R. In
 some cases, functions are provided for concepts available elsewhere in R,
 but where the function call or name is not obvious. In other cases,
 functions are provided to show or demonstrate an algorithm. In addition, a
 collection of functions are provided for drawing vector diagrams in 2D and
 3D.

Package: r-cran-matman
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 510
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-data.table, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-plotly, r-cran-dt, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-forecast, r-cran-parsedate, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-matman_1.1.3-1.ca2004.1_all.deb
Size: 418280
MD5sum: daf50af150e3f82def35af011209a5c2
SHA1: 76739700f9a8f49196f0d88e939d5ec15da38d60
SHA256: e6735fcc71c7db11797e6f4c11083b7ece10430c164ed57af079e61f0082a451
SHA512: 1e3c3afc17b1d546a99e3685b817e00a4a0192728af70eaefd085fbb72fff4b416f1e0bd87881130f83e9d03ff776fa6ed8eab916dcb344afdb75b448df9ee47
Homepage: https://cran.r-project.org/package=matman
Description: CRAN Package 'matman' (Material Management)
 A set of functions, classes and methods for performing ABC and ABC/XYZ
 analyses, identifying overperforming, underperforming and constantly
 performing items, and plotting, analyzing as well as predicting the temporal
 development of items.

Package: r-cran-matpow
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 877
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bigmemory
Filename: pool/dists/focal/main/r-cran-matpow_0.1.2-1.ca2004.1_all.deb
Size: 353432
MD5sum: 051cbb02158aad5f6279fac06a6714ac
SHA1: 01cf96d37122acf4ad05ebfea77cf46ecdd355c0
SHA256: 851a302bdba5c99491a34442a7a398d236bf3e6b2b778f71ee3d3f9db9eead92
SHA512: 534ac22d88d59e8e8f8d9916f5f7cdae389df02fa2b97de4529b41b0c4256a67dd2572c7fb8d56caeceec40bbcb7e1e688f0ce04500840111c6677e9e264b692
Homepage: https://cran.r-project.org/package=matpow
Description: CRAN Package 'matpow' (Matrix Powers)
 A general framework for computing powers of matrices.  A key feature is the
 capability for users to write callback functions, called after each
 iteration, thus enabling customization for specific applications.  Diverse
 types of matrix classes/matrix multiplication are accommodated.  If the
 multiplication type computes in parallel, then the package computation is
 also parallel.

Package: r-cran-matrans
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-formatr, r-cran-glmnet, r-cran-mass, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-matrans_0.2.0-1.ca2004.1_all.deb
Size: 155364
MD5sum: b9c0b5f3349cc1e671ce22a5a59bb6f9
SHA1: b92ce487f3ca01adbe6e29d65276f92bb3fb21ab
SHA256: f62b43158ba5eaa6f97b7797d97e572c2d3e969aa3a7bf7d1b39370c0e66dbea
SHA512: 576e719ffd825083984ef5b9dbb903124834c65b9898f83716b4068ca921f5c055970d15294100cd2ec8ca3c6471a3660f432a606d4110138d45dd00b1f5c114
Homepage: https://cran.r-project.org/package=matrans
Description: CRAN Package 'matrans' (Model Averaging-Assisted Optimal Transfer Learning)
 Transfer learning, as a prevailing technique in computer sciences, aims to
 improve the performance of a target model by leveraging auxiliary
 information from heterogeneous source data. We provide novel tools for
 multi-source transfer learning under statistical models based on model
 averaging strategies, including linear regression models, partially linear
 models. Unlike existing transfer learning approaches, this method integrates
 the auxiliary information through data-driven weight assignments to avoid
 negative transfer. This is the first package for transfer learning based on
 the optimal model averaging frameworks, providing efficient implementations
 for practitioners in multi-source data modeling. The details are described
 in Hu and Zhang (2023) <https://jmlr.org/papers/v24/23-0030.html>.

Package: r-cran-matric
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 724
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-readr, r-cran-jsonlite, r-cran-glue, r-cran-purrr, r-cran-ggplot2, r-cran-stringr, r-cran-rlang, r-cran-yardstick, r-cran-foreach, r-cran-logger, r-cran-furrr, r-cran-future
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-matric_0.2.0-1.ca2004.1_all.deb
Size: 548912
MD5sum: b0f5a61d80f2b1d60d3da4b2c04217e4
SHA1: 8e8ce040615d5d0600a924152a6f20bcf1aa587e
SHA256: bb73f2ce9e205da5ba5c93db1d588e79ede2912c635cf2c14d7886cb8f9e1303
SHA512: 875bd7d19839d892088809a9791d451a9d13b2eb6e834b0ccc1fa757dd33dda8f43d4e79a8885cc9493a32b1db5f68113b33f898c91dd5470b4d3694fe50764b
Homepage: https://cran.r-project.org/package=matric
Description: CRAN Package 'matric' (Metrics for Similarity Matrices)
 Calculate quality metrics for readouts from high-throughput profiling
 experiments.

Package: r-cran-matriks
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desctools
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-matriks_0.1.3-1.ca2004.1_all.deb
Size: 349944
MD5sum: cee1ffb5c64ecdcfc00e41851031be24
SHA1: 3185538ce266b56862dc2975b4787885e231f579
SHA256: a33f1df470d7aadc9f4204d58967200db20eb577196361e808a37d3bee76365c
SHA512: ada6a680afd0ccb20f376e5859945be8bef11dfd5f47c139b8d86d75e71d0783d6eaa612e1a937d46e2c08e1d347dc6064f24703c679e4a0091b44123bc910de
Homepage: https://cran.r-project.org/package=matRiks
Description: CRAN Package 'matRiks' (Generates Raven-Like Matrices According to Rules)
 Generates Raven like matrices according to different rules and the response
 list associated to the matrix. The package can generate matrices composed of
 4 or 9 cells, along with a response list of 11 elements (the correct
 response + 10 incorrect responses). The matrices can be generated according
 to both logical rules (i.e., the relationships between the elements in the
 matrix are manipulated to create the matrix) and visual-spatial rules (i.e.,
 the visual or spatial characteristics of the elements are manipulated to
 generate the matrix).  The graphical elements of this package are based on
 the 'DescTools' package.  This package has been developed within the
 PRIN2020 Project (Prot. 20209WKCLL) titled "Computerized, Adaptive and
 Personalized Assessment of Executive Functions and Fluid Intelligence" and
 founded by the Italian Ministry of Education and Research.

Package: r-cran-matrisk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quantreg, r-cran-sn, r-cran-dfoptim, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-matrisk_0.1.0-1.ca2004.1_all.deb
Size: 36664
MD5sum: e93936675adb83065dc0a2670a6f7de8
SHA1: 6784e7437d7b9d013dad2504bc07d4b40b8bce56
SHA256: 3fbae72c859e863c8b1d134b9580cd1b978acc6fd5ed8e6568e1742e6cd6832f
SHA512: 6d52d475d92cfd4774d1bcba921b56a7d03c8361bfbdd0563ac62c5c690860f1e11dbe9ca9a8194b4e03d735ba0814105de602d0a7b947093378117e0c460b27
Homepage: https://cran.r-project.org/package=matrisk
Description: CRAN Package 'matrisk' (Macroeconomic-at-Risk)
 The Macroeconomics-at-Risk (MaR) approach is based on a two-step
 semi-parametric estimation procedure that allows to forecast the full
 conditional distribution of an economic variable at a given horizon, as a
 function of a set of factors. These density forecasts are then be used to
 produce coherent forecasts for any downside risk measure, e.g.,
 value-at-risk, expected shortfall, downside entropy. Initially introduced by
 Adrian et al. (2019) <doi:10.1257/aer.20161923> to reveal the vulnerability
 of economic growth to financial conditions, the MaR approach is currently
 extensively used by international financial institutions to provide
 Value-at-Risk (VaR) type forecasts for GDP growth (Growth-at-Risk) or
 inflation (Inflation-at-Risk). This package provides methods for estimating
 these models. Datasets for the US and the Eurozone are available to allow
 testing of the Adrian et al (2019) model. This package constitutes a useful
 toolbox (data and functions) for private practitioners, scholars as well as
 policymakers.

Package: r-cran-matrix.utils
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-grr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matrix.utils_0.9.8-1.ca2004.1_all.deb
Size: 113600
MD5sum: cdec556b5e011b54a47801a1fa91aee5
SHA1: 7c172374affac743aa89d2d27d65fa5e68ea8361
SHA256: 6ed00a29af9c9ccad0803d576fc23447db7c6458367b1c0ae48398e238d47683
SHA512: e837df285af10b2aff2e1f8ded5da22a99f6ebf6e58865e0d7b09628d90412cfb37810839227633456c51cb5c85be97bc312330c4e80aa6f475f68a8c3ded137
Homepage: https://cran.r-project.org/package=Matrix.utils
Description: CRAN Package 'Matrix.utils' (Data.frame-Like Operations on Sparse and Dense Matrix Objects)
 Implements data manipulation methods such as cast, aggregate, and merge/join
 for Matrix and matrix-like objects.

Package: r-cran-matrixcalc
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-matrixcalc_1.0-6-1.ca2004.1_all.deb
Size: 200636
MD5sum: d8dc22f0ff54ed8963e1eb49e84d231b
SHA1: e6611439717e21b319a6134920f6d3bd6eee6eee
SHA256: de6a8de39dae8e74408c66607844074d772452a3d7fb8d26c9db795f583f3ec1
SHA512: e0265c9d2002fc0fdf0ef03caadfd46758001cf25d44d1b6d85172de6bb461ebaaa3f4ec7737c4eabdfcbb185384fc8aee475ec0ca5ab4a8f828f05a367843b5
Homepage: https://cran.r-project.org/package=matrixcalc
Description: CRAN Package 'matrixcalc' (Collection of Functions for Matrix Calculations)
 A collection of functions to support matrix calculations for probability,
 econometric and numerical analysis. There are additional functions that are
 comparable to APL functions which are useful for actuarial models such as
 pension mathematics.  This package is used for teaching and research
 purposes at the Department of Finance and Risk Engineering, New York
 University, Polytechnic Institute, Brooklyn, NY 11201.  Horn, R.A. (1990)
 Matrix Analysis. ISBN 978-0521386326.  Lancaster, P. (1969) Theory of
 Matrices. ISBN 978-0124355507.  Lay, D.C. (1995) Linear Algebra: And Its
 Applications. ISBN 978-0201845563.

Package: r-cran-matrixcut
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-inflection
Filename: pool/dists/focal/main/r-cran-matrixcut_0.0.1-1.ca2004.1_all.deb
Size: 60032
MD5sum: 54feca7e59dfedbabf826979e94e831d
SHA1: 8d965e0bcfcb2b53be7cb7027a3da87b9c507240
SHA256: 4ee469b20d0f1335aa399e65e8273cf1801d31e64836c7d9df3317b9f7aa03b2
SHA512: 7237f7f35548e209edbf8a757b3a752b39deb6f35ade61f091e2ce2e2ff9fa7e9e5df7e5be4838fbe8dcae214da6b8071f72b294755cce7b5ae2524faf82b002
Homepage: https://cran.r-project.org/package=matrixcut
Description: CRAN Package 'matrixcut' (Determines Clustering Threshold Based on Similarity Values)
 The user must supply a matrix filled with similarity values. The software
 will search for significant differences between similarity values at
 different hierarchical levels. The algorithm will return a Loess-smoothed
 plot of the similarity values along with the inflection point, if there are
 any. There is the option to search for an inflection point within a
 specified range. The package also has a function that will return the matrix
 components at a specified cutoff. References: Mullner. <ArXiv:1109.2378>;
 Cserhati, Carter. (2020, Journal of Creation 34(3):41-50),
 <https://dl0.creation.com/articles/p137/c13759/j34-3_64-73.pdf>.

Package: r-cran-matrixeqtl
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 412
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-matrixeqtl_2.3-1.ca2004.1_all.deb
Size: 305808
MD5sum: dd8d577296dcf5d8fd4d47c4833a980b
SHA1: d368f23fe95b1c29903ee2858595aa6d82c0cf6e
SHA256: cd58b840a3462d1d307d6c6cb78ee7e6dd627d72ec2af4f6b5fc8da1cc37339b
SHA512: 9dfe1c92adb45c1098555f787b988eaf0797361df41b62a23b99e75b1d71f796480d6f935475f375dc8e16bead04d6e6eaf384d86a5141aac8feaa3d83b97977
Homepage: https://cran.r-project.org/package=MatrixEQTL
Description: CRAN Package 'MatrixEQTL' (Matrix eQTL: Ultra Fast eQTL Analysis via Large MatrixOperations)
 Matrix eQTL is designed for fast eQTL analysis on large datasets.  Matrix
 eQTL can test for association between genotype and gene expression using
 linear regression with either additive or ANOVA genotype effects.  The
 models can include covariates to account for factors as population
 stratification, gender, and clinical variables.  It also supports models
 with heteroscedastic and/or correlated errors, false discovery rate
 estimation and separate treatment of local (cis) and distant (trans) eQTLs.
 For more details see Shabalin (2012) <doi:10.1093/bioinformatics/bts163>.

Package: r-cran-matrixhmm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dosnow, r-cran-foreach, r-cran-laplacesdemon, r-cran-mclust, r-cran-progress, r-cran-snow, r-cran-tensor, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-matrixhmm_1.0.0-1.ca2004.1_all.deb
Size: 128068
MD5sum: 359f66fc6a3bd977f333c0d71fadb455
SHA1: 5f1f25a68f154cd801d5bd4f9c67308b4cafba38
SHA256: 794a06666b0163b8e03ebe23f41077c40d07289abc207db645173e5424f54b6d
SHA512: 4a47ee7dd3ad810920c2c9c57ec384846846b41cc2a3ba0d884a32f0b92d5f8914b6f567143784c4acd263aaf339424a5dbf797383b879523bd5fe0e3010f9c1
Homepage: https://cran.r-project.org/package=MatrixHMM
Description: CRAN Package 'MatrixHMM' (Parsimonious Families of Hidden Markov Models for Matrix-VariateLongitudinal Data)
 Implements three families of parsimonious hidden Markov models (HMMs) for
 matrix-variate longitudinal data using the Expectation-Conditional
 Maximization (ECM) algorithm. The package supports matrix-variate normal, t,
 and contaminated normal distributions as emission distributions. For each
 hidden state, parsimony is achieved through the eigen-decomposition of the
 covariance matrices associated with the emission distribution. This approach
 results in a comprehensive set of 98 parsimonious HMMs for each type of
 emission distribution. Atypical matrix detection is also supported,
 utilizing the fitted (heavy-tailed) models.

Package: r-cran-matrixlaplacian
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-matrixlaplacian_1.0-1.ca2004.1_all.deb
Size: 10492
MD5sum: 9960d36f6f2a6d27f9d363a58e8adf8f
SHA1: 347fa968be757da8255d0de2a1c0119a144cfcbe
SHA256: 1f55d298d79718dae5af20f4c01f3aa01f7fcc5df9204e06d8caefbb4f35fe0d
SHA512: 16c8a34aadbd276de2d133ad48e2fb26607bcb5b6fe1793a86a5b9fe68a6fc1ca7d8884e6750aa90a7b8bd6c6d67d7918213c3fbdea66c5e25646f947e15a42e
Homepage: https://cran.r-project.org/package=matrixLaplacian
Description: CRAN Package 'matrixLaplacian' (Normalized Laplacian Matrix and Laplacian Map)
 Constructs the normalized Laplacian matrix of a square matrix, returns the
 eigenvectors (singular vectors) and visualization of normalized Laplacian
 map.

Package: r-cran-matrixmixtures
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dosnow, r-cran-foreach, r-cran-snow, r-cran-withr
Filename: pool/dists/focal/main/r-cran-matrixmixtures_1.0.0-1.ca2004.1_all.deb
Size: 72624
MD5sum: bd77e0ba605b5ea5fcc602820aec4c5f
SHA1: bc277879035c42b98677d323f8afd482d6b1e403
SHA256: 3573e6d291af78c02221e12cf9c5561b695461a4ce52c6f75d4253e2191538e5
SHA512: f6e33f589fd7be213819dea96f37ea42b2d15453d44c605403986153fba2920d5ff442640a388d5013cb7653095340cdad6b92a3d450861827d1fabfbea97a19
Homepage: https://cran.r-project.org/package=MatrixMixtures
Description: CRAN Package 'MatrixMixtures' (Model-Based Clustering via Matrix-Variate Mixture Models)
 Implements finite mixtures of matrix-variate contaminated normal
 distributions via expectation conditional-maximization algorithm for
 model-based clustering, as described in Tomarchio et al.(2020)
 <arXiv:2005.03861>. One key advantage of this model is the ability to
 automatically detect potential outlying matrices by computing their a
 posteriori probability of being typical or atypical points. Finite mixtures
 of matrix-variate t and matrix-variate normal distributions are also
 implemented by using expectation-maximization algorithms.

Package: r-cran-matrixmodels
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-matrixmodels_0.5-4-1.ca2004.1_all.deb
Size: 358660
MD5sum: 9a7f1c90b2cf06e2033130043579505b
SHA1: d8ac9d44f805b5f617ba6c4698f889b4aee3b7a9
SHA256: 70abe5d3732db40e118051ec9bce9cb3416acbe4bb76a8b69a84a21fa4ecfddb
SHA512: 707061f9643488b79da70a9ddeaadbd09d355b64e2461baa8b6dbedd82c5a3501791cd86f76c093f8f015019a12598b57eb67c3debae1a11f70157b97bbd3df8
Homepage: https://cran.r-project.org/package=MatrixModels
Description: CRAN Package 'MatrixModels' (Modelling with Sparse and Dense Matrices)
 Generalized Linear Modelling with sparse and dense 'Matrix' matrices, using
 modular prediction and response module classes.

Package: r-cran-matrixmodp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matrixmodp_0.2.0-1.ca2004.1_all.deb
Size: 16392
MD5sum: fa602956b5e74796191de29c65225dd3
SHA1: 40796ed97289f4d489da3eede27d863b787474a7
SHA256: 9b8e38606f478669e5c8d5f81e2999919de964ad9fb136b2d3e64fd4c92a3064
SHA512: f69abbfaf9e761ebe3d2078da0a2c38edd43fb89f64afde7b852e30c04e9c3117ced6fea8e3d7b13bdab4a42b2c12d2578c072c581516aa94efef87759829549
Homepage: https://cran.r-project.org/package=matrixmodp
Description: CRAN Package 'matrixmodp' (Working with Matrices over Finite Prime Fields)
 Provides functions for row-reducing and inverting matrices with entries in
 many of the finite fields (those with a prime number of elements). With this
 package, users will be able to find the reduced row echelon form (RREF) of a
 matrix and calculate the inverse of a (square, invertible) matrix.

Package: r-cran-matrixnormal
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-formatr, r-cran-knitr, r-cran-laplacesdemon, r-cran-matrixcalc, r-cran-matrixsampling, r-cran-mbsp, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sessioninfo, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matrixnormal_0.1.1-1.ca2004.1_all.deb
Size: 59772
MD5sum: c3286648813069cb32c3b5c52695b742
SHA1: 5cce439734bd99619c8e3a8fd3ce64205237fc45
SHA256: 9d17e77e4828505b3efcd57686eaf4845db52a47ca9bc8f9895e38d0f73c38c8
SHA512: 88b8ae1cecc44d19dcf77bb1e0e3d0c2c66f048757a814b14bc9b9e91a1b645c68acf9fee81491464e420f219c4494d002f3bf4482c6819425715ed0b231590f
Homepage: https://cran.r-project.org/package=matrixNormal
Description: CRAN Package 'matrixNormal' (The Matrix Normal Distribution)
 Computes densities, probabilities, and random deviates of the Matrix Normal
 (Pocuca et al. (2019) <doi:10.48550/arXiv.1910.02859>). Also includes simple
 but useful matrix functions. See the vignette for more information.

Package: r-cran-matrixprofile
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ttr, r-cran-zoo, r-cran-fftw, r-cran-signal
Filename: pool/dists/focal/main/r-cran-matrixprofile_0.5.0-1.ca2004.1_all.deb
Size: 28212
MD5sum: 83d3cb78667375e969b616c02b1ba70a
SHA1: a0e3c001102024f10d6acc07818ea50fe0f7c5f3
SHA256: 5d1cb224544bbdbfadecfde8f828a7682dfef79042c33b17f06130f4b80c45d3
SHA512: 94c121f1770a291c65b061b2ebe4f9bb081766de59ba1ff9be1631850e1d63d035d4117cc26ac9f977ffda12a0ae1ac0f2e7cdeaf2522b38d31fce5a81f9b93f
Homepage: https://cran.r-project.org/package=matrixProfile
Description: CRAN Package 'matrixProfile' (Matrix Profile)
 A simple and the early stage package for matrix profile based on the paper
 of Chin-Chia Michael Yeh, Yan Zhu, Liudmila Ulanova, Nurjahan Begum, Yifei
 Ding, Hoang Anh Dau, Diego Furtado Silva, Abdullah Mueen, and Eamonn Keogh
 (2016) <DOI:10.1109/ICDM.2016.0179>. This package calculates
 all-pairs-similarity for a given window size for time series data.

Package: r-cran-matrixsampling
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keep
Filename: pool/dists/focal/main/r-cran-matrixsampling_2.0.0-1.ca2004.1_all.deb
Size: 307384
MD5sum: 53c77a7ff5820217dbe3f6cd294c03cd
SHA1: a23eac1766b236d6fca990c3f22d16fea766c105
SHA256: 288367a515898586c6be1d1cee11d4039404ab7f1757ab4f48dbb8ba9b2531ba
SHA512: 87380eec03b4e6a5e3da73fd40bcd32076e375f1f9713a8611ed445dd277aac00a6d07ec7fca42935db397fc80c004dcad35ed959a79e61050c512af226852ca
Homepage: https://cran.r-project.org/package=matrixsampling
Description: CRAN Package 'matrixsampling' (Simulations of Matrix Variate Distributions)
 Provides samplers for various matrix variate distributions: Wishart,
 inverse-Wishart, normal, t, inverted-t, Beta type I, Beta type II, Gamma,
 confluent hypergeometric. Allows to simulate the noncentral Wishart
 distribution without the integer restriction on the degrees of freedom.

Package: r-cran-matrixstructest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-matrixstructest_1.0.0-1.ca2004.1_all.deb
Size: 555296
MD5sum: b05b180fd23689bc6a093f28ba2350cd
SHA1: bd221d3c99a5b0428cafbec2973b0d60f1de165b
SHA256: 5787cbda5a53c1c6fa2fa63f7b684ae9155ba0d56c65fb65af804b20e6377c94
SHA512: aa3c32abb86a9bf6ab3c0e957256a59e04951cab63c8c48777e5a838257b6aafaf178afd969632f08f79b2b02b69b9100479885853135b868e27be9196f847c9
Homepage: https://cran.r-project.org/package=matrixStrucTest
Description: CRAN Package 'matrixStrucTest' (Tests of Matrix Structure for Construct Validation)
 Tests for block-diagonal structure in symmetric matrices (e.g. correlation
 matrices) under the null hypothesis of exchangeable off-diagonal elements.
 As described in Segal et al. (2019), these tests can be useful for construct
 validation either by themselves or as a complement to confirmatory factor
 analysis. Monte Carlo methods are used to approximate the permutation
 p-value with Hubert's Gamma (Hubert, 1976) and a t-statistic. This package
 also implements the chi-squared statistic described by Steiger (1980).
 Please see Segal, et al. (2019) <doi:10.1007/s11336-018-9647-4> for more
 information.

Package: r-cran-matrixtests
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-pmcmrplus, r-cran-car, r-cran-cosinor, r-cran-cosinor2, r-cran-moments, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-matrixtests_0.2.3-1.ca2004.1_all.deb
Size: 191884
MD5sum: a1e26cfea6270ebcf55f14bcad2b596d
SHA1: b900091375370355463d9d400a83c285bfda280f
SHA256: 66ea68a61d28d537ad376f940732e4e8a644374eee54973842e2b49b9bc6b6ff
SHA512: eef41b0df3badada67dd57b9e61f5dab2839584ea1de9983c06a1446e2193de504ba4424c837bba0be819b4a30240ca67483ba24b77b5397fe2b7f89ed62aa5a
Homepage: https://cran.r-project.org/package=matrixTests
Description: CRAN Package 'matrixTests' (Fast Statistical Hypothesis Tests on Rows and Columns ofMatrices)
 Functions to perform fast statistical hypothesis tests on rows/columns of
 matrices.  The main goals are: 1) speed via vectorization, 2) output that is
 detailed and easy to use, 3) compatibility with tests implemented in R (like
 those available in the 'stats' package).

Package: r-cran-matriz
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-stringr, r-cran-writexl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matriz_1.0.1-1.ca2004.1_all.deb
Size: 379492
MD5sum: f1a79f65ccfdb4a7a6b1174fa7c8b199
SHA1: 6f3e02f0a791bede387e19fd38da6f716e428eb8
SHA256: 9c933735bc9db1ce466a9b2735dd28fa1a2513315ab55023df8a74f01d0a4188
SHA512: 15f8b5f43186e3d30f16a3a12379a0d2a1666af0b856f5ab332966e4889b540489a01ba44c22671843922bba860845c8f7ecdfef11fb43f5304f8e659a9051da
Homepage: https://cran.r-project.org/package=matriz
Description: CRAN Package 'matriz' (Literature Matrix Synthesis Tools for Epidemiology and HealthScience Research)
 An easy-to-use workflow that provides tools to create, update and fill
 literature matrices commonly used in research, specifically epidemiology and
 health sciences research. The project is born out of need as an easy–to–use
 tool for my research methods classes.

Package: r-cran-matsbyname
Architecture: all
Version: 0.6.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 822
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-lifecycle, r-cran-matrix, r-cran-magrittr, r-cran-matrixcalc, r-cran-purrr, r-cran-rclabels, r-cran-rlang, r-cran-tibble
Suggests: r-cran-bench, r-cran-covr, r-cran-hmisc, r-cran-knitr, r-cran-matsindf, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-matsbyname_0.6.13-1.ca2004.1_all.deb
Size: 472476
MD5sum: fe5ce8fedf0c3845c408cbaa77a431d5
SHA1: 5565d99d7fbf3cbb8698e96a1553f7a3d9ecd25a
SHA256: 6fb0f5f0ac6f46455317a36b60355d1daf7c34da21f9de62166618692eb207c2
SHA512: 2befa319cebefee309eff303c8d71553f5ab6fbc0fd373bdb2a4d3137f014ed01c761539ddf4e9fd2b439290dd2a07dc6a4180716a0f165cced19e419f3d1999
Homepage: https://cran.r-project.org/package=matsbyname
Description: CRAN Package 'matsbyname' (An Implementation of Matrix Mathematics that Respects Row andColumn Names)
 An implementation of matrix mathematics wherein operations are performed "by
 name."

Package: r-cran-matsindf
Architecture: all
Version: 0.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-matsbyname, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-hmisc, r-cran-knitr, r-cran-matrix, r-cran-rclabels, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-matsindf_0.4.10-1.ca2004.1_all.deb
Size: 230828
MD5sum: 6a067423779cd61b996095f044441712
SHA1: 48a1e3f68419e65d54f06ec95eed0137af1757ac
SHA256: 5d5bd6bbee157820bf19e3abbde20eb4cdc84324eea3179c490a3556bfeb4e5e
SHA512: 00ba218478dcb892e9096896be6b85e434257850204b09408aa419d0c00c4cda39b2ef3d1fe81989ac54f9229a7f7268784b128f7c91a2420c9bb546fac44948
Homepage: https://cran.r-project.org/package=matsindf
Description: CRAN Package 'matsindf' (Matrices in Data Frames)
 Provides functions to collapse a tidy data frame into matrices in a data
 frame and expand a data frame of matrices into a tidy data frame.

Package: r-cran-matskew
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-matskew_0.1.5-1.ca2004.1_all.deb
Size: 39428
MD5sum: 332ed0375ba9535fab63dcdecf263e95
SHA1: 7f80dfdab64b9068afa5b3431b36cb5f74695f9d
SHA256: f2eda6c5f767fa576e361e4fc9ad3350b69d95fa0585648b3b6f9e2901ecdb9e
SHA512: 0fe3ca06f6f772e1a9f763eded3f2048fe079770fe36d0e3a7a40a12064cfc6f0eeff35a55f0bbd5db7955d9abab751d35c2bf9a62456548f1918df0c742ecde
Homepage: https://cran.r-project.org/package=MatSkew
Description: CRAN Package 'MatSkew' (Matrix Skew-T Parameter Estimation)
 Performs matrix skew-t parameter estimation, Gallaugher and McNicholas
 (2017) <doi: 10.1002/sta4.143>.

Package: r-cran-mattools
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mattools_1.1-1.ca2004.1_all.deb
Size: 211188
MD5sum: d331ec54c849c631d6cbd69b9a4a1f09
SHA1: 2a65be36ec2c1aceb67a0f9b730e24a411017e05
SHA256: f8ed5afc5beeb4e8b1e994375c06a3a30785539351cf762e3b28344f5f46e171
SHA512: 2320a304bc1fbb00274ed4b25612fbb98681f408cb3841350f627c6f9f24a7b38cd298b85e9f0ea55cf2fe258bab3a683bf9a953293c54c35ff056a37deb8d3d
Homepage: https://cran.r-project.org/package=MATTOOLS
Description: CRAN Package 'MATTOOLS' (Modern Calibration Functions for the Modern Analog Technique(MAT))
 This package in includes functions for receiver operating characteristic
 (ROC) analyses as well as Monte Carlo simulation.  It includes specific
 graphical functions for interpreting the output of these techniques.

Package: r-cran-matur
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-tidyr, r-cran-magrittr, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-matur_0.0.1.0-1.ca2004.1_all.deb
Size: 105332
MD5sum: 1b26a49a90534f47e8570abe310964c5
SHA1: 7010ab5a40b5db32be7accacd06d643900041c20
SHA256: 27d141fe281c2110669678802f26c2ad4f2dd49237393d83abf5da6e47e0ebc6
SHA512: 8b69888f1e15583eece375f82a242b910a926ecb4953c9f90827ce0f4f16941eb2e146154046cf7e471556a9f4f3581fa86be32507b308e9da68545942ea1e5c
Homepage: https://cran.r-project.org/package=matuR
Description: CRAN Package 'matuR' (Athlete Maturation and Biobanding)
 Identifying maturation stages across young athletes is paramount for talent
 identification. Furthermore, the concept of biobanding, or grouping of
 athletes based on their biological development, instead of their
 chronological age, has been widely researched. The goal of this package is
 to help professionals working in the field of strength & conditioning and
 talent ID obtain common maturation metrics and as well as to quickly
 visualize this information via several plotting options. For the methods
 behind the computed maturation metrics implemented in this package refer to
 Khamis, H. J., & Roche, A. F. (1994)
 <https://pubmed.ncbi.nlm.nih.gov/7936860/>, Mirwald, R.L et al., (2002)
 <https://pubmed.ncbi.nlm.nih.gov/11932580/> and Cumming, Sean P. et al.,
 (2017) <doi:10.1519/SSC.0000000000000281>.

Package: r-cran-mau
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-gtools, r-cran-stringr, r-cran-igraph, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mau_0.1.2-1.ca2004.1_all.deb
Size: 278148
MD5sum: e2f1065720f571cef9a636c316e6795d
SHA1: 0f603d809ad291c7d1812c71d50f91f77eeba10f
SHA256: 3ad14c9d634ca7bb918d8ce4f47d16883a7c4a7b5c5382d7f1d423a283bfed34
SHA512: 4b2dfc47ea8cd5d0fca936b5eea9fb1227510c146e7ffe5690b2cef6f1043714afd07d9d5e39b5937698b393059eaaa8c1ebf889c85e15dc2ac7397dc869883c
Homepage: https://cran.r-project.org/package=mau
Description: CRAN Package 'mau' (Decision Models with Multi Attribute Utility Theory)
 Provides functions for the creation, evaluation and test of decision models
 based in Multi Attribute Utility Theory (MAUT). Can process and evaluate
 local risk aversion utilities for a set of indexes, compute utilities and
 weights for the whole decision tree defining the decision model and simulate
 weights employing Dirichlet distributions under addition constraints in
 weights.

Package: r-cran-mauricer
Architecture: all
Version: 2.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-beastier
Suggests: r-cran-beautier, r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tracerer
Filename: pool/dists/focal/main/r-cran-mauricer_2.5.4-1.ca2004.1_all.deb
Size: 69168
MD5sum: ead05cb4510a113d3e635483429aec6b
SHA1: 4d869c506c49063c4658201bbf1d7734281c291e
SHA256: b6c29c7199f470fcfa6abdd27ca7a120d1a2f651ca323bae0cd1391a917c4858
SHA512: 8ac4d1d8c74d30e9d8fa6d05aed10e70cf31aca934d2a14ddf122a054a7ebdd9a6f3032bc340d87682eb597ba3fd47120968ad08071ce9db7fb0f0dafb02ab9f
Homepage: https://cran.r-project.org/package=mauricer
Description: CRAN Package 'mauricer' (Work with 'BEAST2' Packages)
 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic
 tool, that uses DNA/RNA/protein data and many model priors to create a
 posterior of jointly estimated phylogenies and parameters.  'BEAST2' is
 commonly accompanied by 'BEAUti 2' (<https://www.beast2.org>), which, among
 others, allows one to install 'BEAST2' package.  This package allows to work
 with 'BEAST2' packages from 'R'.

Package: r-cran-mavtgsa
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-foreach, r-cran-multcomp, r-cran-randomforest, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mavtgsa_1.3-1.ca2004.1_all.deb
Size: 65800
MD5sum: 2115a19abd3ddcc27aac5240b4bcf2f8
SHA1: a5824872064a774c408c19e6ec181b16b43ae288
SHA256: 4d2a407b307972d37d934aaa7831d51c14e7690aff11449c8b297a92dfa6c88d
SHA512: 796e247da7c12e93f74ab371dba5baf56513b0612d45af3c60c0fbb3c3685a3bba195a0c41a652c2eca4159973998cd9352d59abebeb0ebe983b1b7e5f593218
Homepage: https://cran.r-project.org/package=MAVTgsa
Description: CRAN Package 'MAVTgsa' (Three methods to identify differentially expressed gene sets,ordinary least square test, Multivariate Analysis Of Variancetest with n contrasts and Random forest)
 This package is a gene set analysis function for one-sided test (OLS),
 two-sided test (multivariate analysis of variance).  If the experimental
 conditions are equal to 2, the p-value for Hotelling's t^2 test is
 calculated.  If the experimental conditions are great than 2, the p-value
 for Wilks' Lambda is determined and post-hoc test is reported too.  Three
 multiple comparison procedures, Dunnett, Tukey, and sequential pairwise
 comparison, are implemented.  The program computes the p-values and FDR
 (false discovery rate) q-values for all gene sets.  The p-values for
 individual genes in a significant gene set are also listed.  MAVTgsa
 generates two visualization output: a p-value plot of gene sets (GSA plot)
 and a GST-plot of the empirical distribution function of the ranked test
 statistics of a given gene set.  A Random Forests-based procedure is to
 identify gene sets that can accurately predict samples from different
 experimental conditions or are associated with the continuous phenotypes.

Package: r-cran-maxadjauc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-aucm, r-cran-rsolnp, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-maxadjauc_0.1.0-1.ca2004.1_all.deb
Size: 24260
MD5sum: 05a5736da2c177c4e0524f0252a3f58a
SHA1: 762fff938a4bb10a3adc029ab88aff1a493f7e4a
SHA256: d7fde74bae3b0ca27c5555904d9dbe4f4a4e3a059e0147198be2f3a3308d8273
SHA512: 776327edcc5132635be6b0ad89f23b0ec5897f6156656647128abcfe181787b88a4517ea338d8c7f59e55d19fb04944bee70ba34edfc367ac308cfc7c84d1fbd
Homepage: https://cran.r-project.org/package=maxadjAUC
Description: CRAN Package 'maxadjAUC' (Maximizing the Adjusted AUC)
 Fits a linear combination of predictors by maximizing a smooth approximation
 to the estimated covariate-adjusted area under the receiver operating
 characteristic curve (AUC) for a discrete covariate. (Meisner, A, Parikh,
 CR, and Kerr, KF (2017) <http://biostats.bepress.com/uwbiostat/paper421/>.)

Package: r-cran-maxaltall
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-maxaltall_0.1.0-1.ca2004.1_all.deb
Size: 117892
MD5sum: bb199cdbb7c077b732f0f9ba7aa3c7b5
SHA1: 03e8cb43c2f46c7b44d7bb1a14fbd2c43e263f76
SHA256: 2cad21e7434923f3244969f8d43f3e66b6a0db9311363598f39fa5a2c2aad4e4
SHA512: b43e8689c7f254706d01aedde90c2cbdcc1bb1a6fa4cee7fe24284917d0017047d106c06582f87c056e0a0c0ec8e8f2752885d7a8a81ca66330274f5a59189a4
Homepage: https://cran.r-project.org/package=maxaltall
Description: CRAN Package 'maxaltall' ('FASTA' ML and ‘altall’ Sequences from IQ-TREE .state Files)
 Takes a .state file generated by IQ-TREE as an input and, for each ancestral
 node present in the file, generates a FASTA-formatted maximum likelihood
 (ML) sequence as well as an ‘AltAll’ sequence in which uncertain sites,
 determined by the two parameters thres_1 and thres_2, have the maximum
 likelihood state swapped with the next most likely state as described in
 Geeta N. Eick, Jamie T. Bridgham, Douglas P. Anderson, Michael J. Harms, and
 Joseph W. Thornton (2017), "Robustness of Reconstructed Ancestral Protein
 Functions to Statistical Uncertainty" <doi:10.1093/molbev/msw223>.

Package: r-cran-maxcombo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-mstate, r-cran-mcmcpack, r-cran-dplyr, r-cran-mvtnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-maxcombo_1.0-1.ca2004.1_all.deb
Size: 101036
MD5sum: 7c7047402946ad304c58c53db9c6f7be
SHA1: ee93e7a0eb441b87f6e48d3919a781529de87819
SHA256: 8e00cfaf7a6378b7b8fd754bcdd2a454c3f5582486829f55cc67c93d59ad4d42
SHA512: 21b2c2d457f7196cb12bc1c803668cd9ac651a377341cb6ccfd1b894da74496cb20997509e9411119c4e0a0aa6634f3864d02dcd9ba1d783a64642055f719228
Homepage: https://cran.r-project.org/package=maxcombo
Description: CRAN Package 'maxcombo' (The Group Sequential Max-Combo Test for Comparing SurvivalCurves)
 Functions for comparing survival curves using the max-combo test at a single
 timepoint or repeatedly at successive respective timepoints while
 controlling type I error (i.e., the group sequential setting), as published
 by Prior (2020) <doi:10.1177/0962280220931560>.  The max-combo test is a
 generalization of the weighted log-rank test, which itself is a
 generalization of the log-rank test, which is a commonly used statistical
 test for comparing survival curves, e.g., during or after a clinical trial
 as part of an effort to determine if a new drug or therapy is more effective
 at delaying undesirable outcomes than an established drug or therapy or a
 placebo.

Package: r-cran-maxeff
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-rpart, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-groupedhyperframe, r-cran-survival, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maxeff_0.1.1-1.ca2004.1_all.deb
Size: 73480
MD5sum: eabe8d5acc522b57ec53377282a04523
SHA1: 35aae1579365a1c2e739efb85b979d07fd84ce4f
SHA256: 32b41675e79e037614890fdca99990c73b0331a1539c4902cb43bdd1d09f19c1
SHA512: 9ee9169d432ed7bef1cda49f648171244ea88fb1778d81b1c70c87dd3ae04055d9063264eadfb2c786546214d27515a0d78fce166449929054bcf6155ca94a6e
Homepage: https://cran.r-project.org/package=maxEff
Description: CRAN Package 'maxEff' (Additional Predictor with Maximum Effect Size)
 Methods of selecting one from many numeric predictors for a regression
 model, to ensure that the additional predictor has the maximum effect size.

Package: r-cran-maxent.ot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2322
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-maxent.ot_1.0.0-1.ca2004.1_all.deb
Size: 982148
MD5sum: a4f428621b1a526ec2685d7945aa7d16
SHA1: 7a0badac2ab182ee22df7d2dfcb1962dc01a2658
SHA256: 34da1303cc44cd607d7fd906a1e81249f3caadf1caa295c05a8df31680c8c44e
SHA512: ddcfc8dd46c279e8905251d825db81bbf0d09ad883ec4f53ee0af73f2756f4c365a8df7bd2bf02fd8afe9206ef5c16808e69cce72e99a6d29439bd0d672dc8d8
Homepage: https://cran.r-project.org/package=maxent.ot
Description: CRAN Package 'maxent.ot' (Perform Phonological Analyses using Maximum Entropy OptimalityTheory)
 Fit Maximum Entropy Optimality Theory models to data sets, generate the
 predictions made by such models for novel data, and compare the fit of
 different models using a variety of metrics. The package is described in
 Mayer, C., Tan, A., Zuraw, K. (in press)
 <https://sites.socsci.uci.edu/~cjmayer/papers/cmayer_et_al_maxent_ot_accepted.pdf>.

Package: r-cran-maxentvariableselection
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-raster
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maxentvariableselection_1.0-3-1.ca2004.1_all.deb
Size: 397224
MD5sum: 68c7a5c3a133e26c7903ac136269b3b1
SHA1: 3b33b1a508c123a521f4b02fe8cdc0f53f8e479d
SHA256: ae900cedf2fe3bec4ed237c245263d320afa8c2efe8af8cfb6c1371248a8388a
SHA512: 61f3e2992a99a9cb218c388fc8e93f1d2097573f9cb686964e8ab3358593fc9b6c825d0102870c8060f0e3a92125edb5ea819df0f353f2098317c46c14c15324
Homepage: https://cran.r-project.org/package=MaxentVariableSelection
Description: CRAN Package 'MaxentVariableSelection' (Selecting the Best Set of Relevant Environmental Variables alongwith the Optimal Regularization Multiplier for Maxent NicheModeling)
 Complex niche models show low performance in identifying the most important
 range-limiting environmental variables and in transferring habitat
 suitability to novel environmental conditions (Warren and Seifert, 2011
 <DOI:10.1890/10-1171.1>; Warren et al., 2014 <DOI:10.1111/ddi.12160>). This
 package helps to identify the most important set of uncorrelated variables
 and to fine-tune Maxent's regularization multiplier. In combination, this
 allows to constrain complexity and increase performance of Maxent niche
 models (assessed by information criteria, such as AICc (Akaike, 1974
 <DOI:10.1109/TAC.1974.1100705>), and by the area under the receiver
 operating characteristic (AUC) (Fielding and Bell, 1997
 <DOI:10.1017/S0376892997000088>). Users of this package should be familiar
 with Maxent niche modelling.

Package: r-cran-maximin
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plgp
Suggests: r-cran-lhs
Filename: pool/dists/focal/main/r-cran-maximin_1.0-6-1.ca2004.1_all.deb
Size: 45848
MD5sum: 27bf46f8f19744e41d8ba21783c25ce8
SHA1: b549b77facfea8fc8c58c6b7e1a82da8c6091406
SHA256: 86bbb3d6694d7aabb2710b5bb08d2eabd5273b1c8a79ca5f321790d68e7cee71
SHA512: 2955ff78d40f72610c274d78d26cebdb8108d5060cdc70b2c2ad5fa789d529718390b72d56705b208bc41e5803e0a04f7f5dbd4167d8c58f619232bad1f4c521
Homepage: https://cran.r-project.org/package=maximin
Description: CRAN Package 'maximin' (Space-Filling Design under Maximin Distance)
 Constructs a space-filling design under the criterion of maximum-minimum
 distance. Both discrete and continuous searches are provided.

Package: r-cran-maximininfer
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-cvxr, r-cran-glmnet, r-cran-intervals, r-cran-sihr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maximininfer_2.0.0-1.ca2004.1_all.deb
Size: 48468
MD5sum: 4af90e2e1963004223b6cabc74b96a60
SHA1: 0a915d39ca99d12c58ece91657be70d27680bd2f
SHA256: d661bcefa7db578de6f7851076234f56d37ef3299c30ad0868b7b7d7d6b041fe
SHA512: a62a1b7be967ac70beb255da455d645060c4a6579a69ba218ad50abeb62d5f661ddec2c6c0db89aa2e1c8b3b0f646178f8468f9be7c5bac461485be6e4915095
Homepage: https://cran.r-project.org/package=MaximinInfer
Description: CRAN Package 'MaximinInfer' (Inference for Maximin Effects in High-Dimensional Settings)
 Implementation of the sampling and aggregation method for the covariate
 shift maximin effect, which was proposed in <arXiv:2011.07568>. It
 constructs the confidence interval for any linear combination of the
 high-dimensional maximin effect.

Package: r-cran-maxlik
Architecture: all
Version: 1.5-2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1282
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-misctools, r-cran-sandwich, r-cran-generics
Suggests: r-cran-mass, r-cran-clue, r-cran-dlm, r-cran-plot3d, r-cran-tibble, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-maxlik_1.5-2.1-1.ca2004.1_all.deb
Size: 1070756
MD5sum: b1a28af0ddc72a8f89a7e60cb6d5f145
SHA1: f7cb05196cbdb6433f723dce82a9d1806bcce894
SHA256: 4827b30632b076ed01f07cc853cb61c698f95eccb0269a01d6e1357a1e311f8c
SHA512: 608cb82903637117567bfeb17462598f3de77238a6a6ef70a7e4ff38d796608425bd5da374da2594b1a921cfd09aac5b1c3a3acdf0259d32e7ac38fbf1700090
Homepage: https://cran.r-project.org/package=maxLik
Description: CRAN Package 'maxLik' (Maximum Likelihood Estimation and Related Tools)
 Functions for Maximum Likelihood (ML) estimation, non-linear optimization,
 and related tools.  It includes a unified way to call different optimizers,
 and classes and methods to handle the results from the Maximum Likelihood
 viewpoint.  It also includes a number of convenience tools for testing and
 developing your own models.

Package: r-cran-maxlike
Architecture: all
Version: 0.1-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster
Suggests: r-cran-dismo
Filename: pool/dists/focal/main/r-cran-maxlike_0.1-11-1.ca2004.1_all.deb
Size: 517388
MD5sum: 1de402fe7ac7c8b56effa71ce04f83e8
SHA1: 03e70410bac84c01b1c29a6492b5bbdd562509b7
SHA256: 346c5e0b1cc5ec87f89d88a6cba76582cc18fa0b51e237cb9dee6cc04c9c8779
SHA512: ede2b494639daa05e2afc35ed04bdf85e3ea0d42860b82da9eab6819a7257813bd2416fdbdabd1c0f877c73b5c7923b6b148db62973fc567452948001d17260f
Homepage: https://cran.r-project.org/package=maxlike
Description: CRAN Package 'maxlike' (Model Species Distributions by Estimating the Probability ofOccurrence Using Presence-Only Data)
 Provides a likelihood-based approach to modeling species distributions using
 presence-only data. In contrast to the popular software program MAXENT, this
 approach yields estimates of the probability of occurrence, which is a
 natural descriptor of a species' distribution.

Package: r-cran-maxmatching
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-maxmatching_0.1.0-1.ca2004.1_all.deb
Size: 61136
MD5sum: c881f29243142ae1d083caa9bca14f9c
SHA1: c51c2551e7565eb527f35ac6a23862607ae3644e
SHA256: c557c9606d2519ff83aa18789924c87a0eb26d7ea4e9182f61181e5b56355de5
SHA512: 7e40ecaab3079e35d5e81ade12e8bb8159ea6296d49af24cc9e8df7cee29de81584ab7531c704a407b4418a300c1094ecf6f5e46e1437b599524d9f047a56096
Homepage: https://cran.r-project.org/package=maxmatching
Description: CRAN Package 'maxmatching' (Maximum Matching for General Weighted Graph)
 Computes the maximum matching for unweighted graph and maximum matching for
 (un)weighted bipartite graph efficiently.

Package: r-cran-maxmc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gensa, r-cran-pso, r-cran-ga, r-cran-nmof, r-cran-scales
Suggests: r-cran-funitroots, r-cran-microbenchmark, r-cran-boot, r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-maxmc_0.1.2-1.ca2004.1_all.deb
Size: 82588
MD5sum: d8761e95a7e6bfab4b3888689cedbe3f
SHA1: 5c184903a42adef6debaed12d27382625e54bb7d
SHA256: dc38e7da725670da944fe825340aa014ffa83b0f5051cccfd1ff3ba77271eff2
SHA512: 64b0852c1bbff02c12dc81b2fb4d59dc79cc787c0b7e249f393578b5f69faea9d26bd8b51548eea7a7be5086aa54a1aec26de1cb02f0a4df30ee96970b31c8d4
Homepage: https://cran.r-project.org/package=MaxMC
Description: CRAN Package 'MaxMC' (Maximized Monte Carlo)
 An implementation of the Monte Carlo techniques described in details by
 Dufour (2006) <doi:10.1016/j.jeconom.2005.06.007> and Dufour and Khalaf
 (2007) <doi:10.1002/9780470996249.ch24>. The two main features available are
 the Monte Carlo method with tie-breaker, mc(), for discrete statistics, and
 the Maximized Monte Carlo, mmc(), for statistics with nuisance parameters.

Package: r-cran-maxnet
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-maxnet_0.1.4-1.ca2004.1_all.deb
Size: 67052
MD5sum: 366045052de0e74ea0d336cb6fb86fe4
SHA1: 15ac29885a2f057a10915e1447b79a860431416e
SHA256: 6b2c02338a0b059e71f40ebdb12d9e82967f5eb78e60c413d74ea908a94cd40f
SHA512: 9f4a283d4b1063c634697c4f19f0a1c60af203355dd64b8ec5adda6f296c3f0871fc7a4b372a18e88ed04c73a43eeebce5bcc7bc07556abe46341c926e7848ed
Homepage: https://cran.r-project.org/package=maxnet
Description: CRAN Package 'maxnet' (Fitting 'Maxent' Species Distribution Models with 'glmnet')
 Procedures to fit species distributions models from occurrence records and
 environmental variables, using 'glmnet' for model fitting. Model structure
 is the same as for the 'Maxent' Java package, version 3.4.0, with the same
 feature types and regularization options.  See the 'Maxent' website
 <http://biodiversityinformatics.amnh.org/open_source/maxent> for more
 details.

Package: r-cran-maxskew
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-maxskew_1.1-1.ca2004.1_all.deb
Size: 34048
MD5sum: 3fe59fb7d9c7cdd4a6099bac3612906c
SHA1: 490a5ef0239b46127fbe9f2ab309f659ae0621d6
SHA256: 8f6cef0197a44731cdd79de29806eeea580678bb071bd970f9f1d56aad9fa236
SHA512: 38b4a296af5ed5206a4c88872c32a34513ac30a180128b85162d90173b6f1b624ca3de033c8e9fa2a75ddac42e87a82ff606b54facc501280cbf86fe2fc03949
Homepage: https://cran.r-project.org/package=MaxSkew
Description: CRAN Package 'MaxSkew' (Orthogonal Data Projections with Maximal Skewness)
 It finds Orthogonal Data Projections with Maximal Skewness. The first data
 projection in the output is the most skewed among all linear data
 projections. The second data projection in the output is the most skewed
 among all data projections orthogonal to the first one, and so on.

Package: r-cran-maxtpr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aucm, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-maxtpr_0.1.0-1.ca2004.1_all.deb
Size: 21572
MD5sum: 150360f99465ef66231bb2142ecc9018
SHA1: 8f2bb415f6b77f5436d49a5e630a66125cf32a28
SHA256: 7beb169e971fe8d50a81dabd556564331e2c6ff3519666280151ee2604846c7e
SHA512: d65565895d5ceb87b800cd433fcf16a772da3438426425fba9148b9c0f7165211cf064a87febab32f472238ea348036fc1ad670cc2ca582a4cf75fd7535a4071
Homepage: https://cran.r-project.org/package=maxTPR
Description: CRAN Package 'maxTPR' (Maximizing the TPR for a Specified FPR)
 Estimates a linear combination of predictors by maximizing a smooth
 approximation to the estimated true positive rate (TPR; sensitivity) while
 constraining a smooth approximation to the estimated false positive rate
 (FPR; 1-specificity) at a user-specified level.

Package: r-cran-maxwik
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scales, r-cran-abc, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-maxwik_1.0.5-1.ca2004.1_all.deb
Size: 1208084
MD5sum: 61bc7d77d6cb754517536fd80a8bbc44
SHA1: 70ff7c3d8fba19d33a2e29399d4a263460bb47b4
SHA256: 8ca2b3df0d9df941f09cc9b13de69c1bda2d538091e337326e5995a8a92584ae
SHA512: 794b66030aea834f7004dc23e62885d22d0836bdb0afb5253c526874227c7b54b9f7476071b099ec11516b24e766a551fa0afa8dc0bac5ff558ded6a255ff297
Homepage: https://cran.r-project.org/package=MaxWiK
Description: CRAN Package 'MaxWiK' (Machine Learning Method Based on Isolation Kernel Mean Embedding)
 Incorporates Approximate Bayesian Computation to get a posterior
 distribution and to select a model optimal parameter for an observation
 point. Additionally, the meta-sampling heuristic algorithm is realized for
 parameter estimation, which requires no model runs and is
 dimension-independent. A sampling scheme is also presented that allows model
 runs and uses the meta-sampling for point generation. A predictor is
 realized as the meta-sampling for the model output. All the algorithms
 leverage a machine learning method utilizing the maxima weighted Isolation
 Kernel approach, or 'MaxWiK'. The method involves transforming raw data to a
 Hilbert space (mapping) and measuring the similarity between simulated
 points and the maxima weighted Isolation Kernel mapping corresponding to the
 observation point. Comprehensive details of the methodology can be found in
 the papers Iurii Nagornov (2024) <doi:10.1007/978-3-031-66431-1_16> and
 Iurii Nagornov (2023) <doi:10.1007/978-3-031-29168-5_18>.

Package: r-cran-maybe
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 550
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-quickcheck, r-cran-covr
Filename: pool/dists/focal/main/r-cran-maybe_1.1.0-1.ca2004.1_all.deb
Size: 513372
MD5sum: 45f979aec368be824a4bcedcacc13910
SHA1: 1f4742143358ac5105adc7229168fa0d69328879
SHA256: f70d4d666e9e429cd998b6e5af504bb388ae82036c51f3c63e007a5e3c92e17a
SHA512: 20fd701f3ac254bbd44fbdaee054e85fd1255c7144a56b7023ccd5e0781609e6e30caaea1d7b5808ecc3f2ce899e683a7bee94564a9f1209e19a7528f1711590
Homepage: https://cran.r-project.org/package=maybe
Description: CRAN Package 'maybe' (The Maybe Monad)
 The maybe type represents the possibility of some value or nothing.  It is
 often used instead of throwing an error or returning `NULL`.  The advantage
 of using a maybe type over `NULL` is that it is both composable and requires
 the developer to explicitly acknowledge the potential absence of a value,
 helping to avoid the existence of unexpected behaviour.

Package: r-cran-mazamacoreutils
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-devtools, r-cran-digest, r-cran-dplyr, r-cran-futile.logger, r-cran-geohashtools, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mazamacoreutils_0.5.3-1.ca2004.1_all.deb
Size: 178472
MD5sum: 2a3a3f294fe237e6787aed257b3469bd
SHA1: 757009b018544277964f0de3631759e626fd8b9c
SHA256: 2a79beed1756e1760672945aaf155d17f71f487aaccbf8cb917df065e227d157
SHA512: 5c4e635c6a2f6d029df90193c089af4e0784d28dbc02a575210f82e7e0df59929083f15eff7b4433b08803ead75a47f452d33561f467b53107840ae78b387824
Homepage: https://cran.r-project.org/package=MazamaCoreUtils
Description: CRAN Package 'MazamaCoreUtils' (Utility Functions for Production R Code)
 A suite of utility functions providing functionality commonly needed for
 production level projects such as logging, error handling, cache management
 and date-time parsing. Functions for date-time parsing and formatting
 require that time zones be specified explicitly, avoiding a common source of
 error when working with environmental time series.

Package: r-cran-mazamalocationutils
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-dplyr, r-cran-geodist, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-mazamaspatialutils, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tidygeocoder
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mazamalocationutils_0.4.4-1.ca2004.1_all.deb
Size: 242808
MD5sum: e52c83b6d07085681d6b6f8e72c30ced
SHA1: 538c73ddfecbceaf86d80ab7a0f14beaf9bd7f9a
SHA256: c3eb1b1486d4ac1a739825ee044fb88e5362955a5ff93c27b19b1b84fd263ed9
SHA512: 1c733acd33a9ac4697865e90285afedba44b8076fc38a3eb1436cd0e2836ff4b8e11ad2d2ba02d30196f04a621fb367c2c2e76a4c44798397e0b481dea640d52
Homepage: https://cran.r-project.org/package=MazamaLocationUtils
Description: CRAN Package 'MazamaLocationUtils' (Manage Spatial Metadata for Known Locations)
 Utility functions for discovering and managing metadata associated with
 spatially unique "known locations". Applications include all fields of
 environmental monitoring (e.g. air and water quality) where data are
 collected at stationary sites.

Package: r-cran-mazamaspatialplots
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1266
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mazamaspatialutils, r-cran-dplyr, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-rlang, r-cran-sf, r-cran-tmap
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mazamaspatialplots_0.3.0-1.ca2004.1_all.deb
Size: 1122820
MD5sum: 1f26ba0dad7fd83ad43925e13d98165f
SHA1: e9187ad5ae3a211d956538de3a812028e3299de1
SHA256: 19db555a80bb899c91e567c4326f42e743216a0dd6612f2ca8b7e571e6138a49
SHA512: 156aee51957978f33238d61786d1a279e1353212057da7df4ba5c83719b6a3e842d839993ea736a38c157c557c81c300fe801936cc65b715331d51a6cf18381e
Homepage: https://cran.r-project.org/package=MazamaSpatialPlots
Description: CRAN Package 'MazamaSpatialPlots' (Thematic Plots for Mazama Spatial Datasets)
 A suite of convenience functions for generating US state and county thematic
 maps using datasets from the MazamaSpatialUtils package.

Package: r-cran-mazamaspatialutils
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3840
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-countrycode, r-cran-dplyr, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-rlang, r-cran-rmapshaper, r-cran-stringr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mazamaspatialutils_0.8.7-1.ca2004.1_all.deb
Size: 3721992
MD5sum: 52a75641519aa5b6b295f4aed06e5053
SHA1: 99d1896097c1dd9e1b96078cb113ccc715f18823
SHA256: 13dd87acf055d5280be6624a7162b43c9c8eb99a222d1f5500b031d4b78dd2be
SHA512: e2157879bbb485d5fd6dac849cd2df50688bac13c7c1a516fbb43bdae49be457ed4759f710fb08465a3e11f42f22665e7b3fbf0a2e8de4eb2fb4ee7c56e78467
Homepage: https://cran.r-project.org/package=MazamaSpatialUtils
Description: CRAN Package 'MazamaSpatialUtils' (Spatial Data Download and Utility Functions)
 A suite of conversion functions to create internally standardized spatial
 polygons data frames. Utility functions use these data sets to return values
 such as country, state, time zone, watershed, etc. associated with a set of
 longitude/latitude pairs. (They also make cool maps.)

Package: r-cran-mazamatimeseries
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1399
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-geodist, r-cran-lubridate, r-cran-magrittr, r-cran-mazamacoreutils, r-cran-mazamarollutils, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mazamatimeseries_0.3.1-1.ca2004.1_all.deb
Size: 1155016
MD5sum: 32c62aabcd57e3daae0ff7a62b4854ad
SHA1: d8da3113e0f13eef5e9d2bc5ce0fb2272cabede4
SHA256: 6b280b247695b352bf313eb51aec42598310592c036b0e413f9722a6e42bb382
SHA512: 6d64eff763464e322b500d0313e9008c522803da65f03c3ccd4febb6acb6414ff33ab544dc390fa24b0412c466690cbe9c245120e5fe68753224bd42b33dbbae
Homepage: https://cran.r-project.org/package=MazamaTimeSeries
Description: CRAN Package 'MazamaTimeSeries' (Core Functionality for Environmental Time Series)
 Utility functions for working with environmental time series data from known
 locations. The compact data model is structured as a list with two
 dataframes. A 'meta' dataframe contains spatial and measuring device
 metadata associated with deployments at known locations. A 'data' dataframe
 contains a 'datetime' column followed by columns of measurements associated
 with each "device-deployment".  Ephemerides calculations are based on code
 originally found in NOAA's "Solar Calculator"
 <https://gml.noaa.gov/grad/solcalc/>.

Package: r-cran-mazealls
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3978
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-turtlegraphics
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mazealls_0.2.0-1.ca2004.1_all.deb
Size: 3870728
MD5sum: 06d64c76b2da695912882b34f7206b87
SHA1: 75201ee694786302e62a4d31080fcf8515594b3c
SHA256: 442d665fa42b603fc812a819455b020d7e9d87230e0f307de86e0b049c7a82d2
SHA512: c7d052b862c4706145703590d57242ce6d445234de704ee0daeb614e15f2790c76c74a86851c9692ccb2de989855741c444c7ed5efa8e327e0267ce96f983530
Homepage: https://cran.r-project.org/package=mazealls
Description: CRAN Package 'mazealls' (Generate Recursive Mazes)
 Supports the generation of parallelogram, equilateral triangle, regular
 hexagon, isosceles trapezoid, Koch snowflake, 'hexaflake', Sierpinski
 triangle, Sierpinski carpet and Sierpinski trapezoid mazes via
 'TurtleGraphics'. Mazes are generated by the recursive method: the domain is
 divided into sub-domains in which mazes are generated, then dividing lines
 with holes are drawn between them, see J. Buck, Recursive Division,
 <http://weblog.jamisbuck.org/2011/1/12/maze-generation-recursive-division-algorithm>.

Package: r-cran-mazegen
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-mazegen_0.1.3-1.ca2004.1_all.deb
Size: 233424
MD5sum: abbe0deb93d64ca0046fd8a79eeca486
SHA1: b45506c4adc5c196835f036d17de47eca59eb5a5
SHA256: 62509c782d4b13e78bd35f8e2431a488001a0031027815fadaf8c61bbccc7062
SHA512: 6f83ce68d70912795a0be9dfc444d94b953f0548b7824bbc68aff9687dc2d67bf2295da95c63540f60ced3ffc1f0110f8a04979fd8b6f936468547da6a2381c3
Homepage: https://cran.r-project.org/package=mazeGen
Description: CRAN Package 'mazeGen' (Elithorn Maze Generator)
 A maze generator that creates the Elithorn Maze (HTML file) and the
 functions to calculate the associated maze parameters (i.e. Difficulty and
 Ability).

Package: r-cran-mazeinda
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreach
Suggests: r-cran-domc, r-cran-gamlss.dist, r-cran-knitr, r-cran-testthat, r-cran-r.rsp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mazeinda_0.0.2-1.ca2004.1_all.deb
Size: 304040
MD5sum: ff40331a6eb2ebd71f5b10d57b952ea8
SHA1: 77e035691aaa6bb283f24e4371b97ec609c28338
SHA256: 48695529036417e98dba7442709d048d526b1df8609befdd2649bee11f459fed
SHA512: f3c337fbed58a8ddc7f7b21bcd37ca7d0d90e869847eb9ce92eae39328851787be3e6c9f9fdc92f181ea8702f8cc9617da2d134b0fc9f3355e665a7894baa55f
Homepage: https://cran.r-project.org/package=mazeinda
Description: CRAN Package 'mazeinda' (Monotonic Association on Zero-Inflated Data)
 Methods for calculating and testing the significance of pairwise monotonic
 association from and based on the work of Pimentel (2009)
 <doi:10.4135/9781412985291.n2>. Computation of association of vectors from
 one or multiple sets can be performed in parallel thanks to the packages
 'foreach' and 'doMC'.

Package: r-cran-mazing
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4544
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-emojifont, r-cran-knitr, r-cran-markdown, r-cran-png, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mazing_1.0.5-1.ca2004.1_all.deb
Size: 2776884
MD5sum: 025a6b97cb40d303cf77465727c47906
SHA1: 5c4e62e2aae0b1e59fcdb51bf7f687338cfa8618
SHA256: 1e24a33c5c350427e77de8718ee28071590e27d99c6f3a91360b07f7e5a2755a
SHA512: 2735d254168ea825e7034caf6654433161622e02b39bbe736e08a4ede0a7097bd841b60ee7e13e3b71e902b3ad1f5749f72566d8e221766c98852020d9130849
Homepage: https://cran.r-project.org/package=mazing
Description: CRAN Package 'mazing' (Utilities for Making and Plotting Mazes)
 Functionality for generating and plotting random mazes. The mazes are based
 on matrices, so can only consist of vertical and horizontal lines along a
 regular grid. But there is no need to use every possible space, so they can
 take on many different shapes.

Package: r-cran-mb
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mb_0.1.1-1.ca2004.1_all.deb
Size: 22332
MD5sum: 8e6b2541e54978dd3b8fa31cedbb572b
SHA1: ccc3d250b93e2f935f4f6fa65148d5ba4ec96d72
SHA256: 0ace0ee7c844963265c2eff77c87aa72f4ad908644879bbfa839feed2b3e7a8c
SHA512: 3136cf72e3b6128f16239c0652b29b77b4636551f3261ef1e2da6ff922969f19263e62e2712345482716d97f63cd199fac5ed2f6105ca0af1f0c780f4907e8b8
Homepage: https://cran.r-project.org/package=MB
Description: CRAN Package 'MB' (The Use of Marginal Distributions in Conditional Forecasting)
 A new way to predict time series using the marginal distribution table in
 the absence of the significance of traditional models.

Package: r-cran-mbanalysis
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-mbanalysis_2.0.2-1.ca2004.1_all.deb
Size: 178840
MD5sum: 2ef5aea337517d51d746166d67ac5bda
SHA1: 4ed5f489bb1eeefde56016f2994cb877089e90b0
SHA256: e1f32dc687b584f0f4d58c5ee3290b10e12a54aedec2a0f1cab7d5374dee7d6b
SHA512: 653d1bb116b81d5a968a6e54c56ca4f0eb0f50d2e16a13bd7b47bb6bd60fc2c52766b2e39919793add2f696c42cc064848fca5bc24769ab8060743ea887a223e
Homepage: https://cran.r-project.org/package=MBAnalysis
Description: CRAN Package 'MBAnalysis' (Multiblock Exploratory and Predictive Data Analysis)
 Exploratory and predictive methods for the analysis of several blocks of
 variables measured on the same individuals.

Package: r-cran-mbbe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3000
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-xml2, r-cran-pknca, r-cran-magrittr, r-cran-nlme, r-cran-emmeans, r-cran-future, r-cran-furrr, r-cran-processx, r-cran-tictoc, r-cran-ggplot2, r-cran-ps, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mbbe_0.1.0-1.ca2004.1_all.deb
Size: 652592
MD5sum: 61ad54d2422a0f79dc41e6805a87962a
SHA1: 64db837071e56e4e1be4b2050c351cd5f6f7fbfc
SHA256: 37ef4563c6a32c4eca1bae33c78205ace84607e09283371d7f165d0488b9414d
SHA512: bd6428fe10d30133281eef7537ba43c1c8a06d4cdbe15c58c61c6a4eee5332f6b467fdaadf004dc4220b30b719be33036a82dcff77db2fadad8a236b7e6a8d99
Homepage: https://cran.r-project.org/package=mbbe
Description: CRAN Package 'mbbe' (Model Based Bio-Equivalence)
 Uses several Nonlinear Mixed effect (NONMEM) models (as NONMEM control
 files) to perform bootstrap model averaging and Monte Carlo Simulation for
 Model Based Bio-Equivalence (MBBE). Power is returned as the fraction of the
 simulations with successful bioequivalence (BE) test, for maximum
 concentration (Cmax), Area under the curve to the last observed value
 (AUClast) and Area under the curve extrapolate to infinity (AUCinf). See
 Hooker, A. (2020) Improved bioequivalence assessment through model-informed
 and model-based strategies <https://www.fda.gov/media/138035/download>.

Package: r-cran-mbc
Architecture: all
Version: 0.10-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-energy, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-mbc_0.10-7-1.ca2004.1_all.deb
Size: 554048
MD5sum: 5ea2d3aae5b89c40703de4a8d4f3fa9c
SHA1: d6e58cdda5a1e5afc6a2a0f2d69527657d2c583f
SHA256: a64ba489946b25ff29d85bd739451e229a666d90f2eaf43e2f4212450450cdb1
SHA512: f1a91dae98ba99013f87c0cc2731eba7d163a3533919b8ceda6f21687ccd0f64ae442a293a33ed9584b90a73b232e3274eb19bcf35f05a1cf5605b48e4b92eba
Homepage: https://cran.r-project.org/package=MBC
Description: CRAN Package 'MBC' (Multivariate Bias Correction of Climate Model Outputs)
 Calibrate and apply multivariate bias correction algorithms for climate
 model simulations of multiple climate variables. Three methods described by
 Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and Cannon (2018)
 <doi:10.1007/s00382-017-3580-6> are implemented — (i) MBC Pearson
 correlation (MBCp), (ii) MBC rank correlation (MBCr), and (iii) MBC
 N-dimensional PDF transform (MBCn) — as is the Rank Resampling for
 Distributions and Dependences (R2D2) method.

Package: r-cran-mbcbook
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4247
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mclust, r-cran-rmixmod, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-network, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-mbcbook_0.1.2-1.ca2004.1_all.deb
Size: 4266668
MD5sum: ddd71a38cdd728c415db86077ded3be6
SHA1: 9ebc6bb78dd04722119d9bf9e606d7be9c7b114e
SHA256: 2cfe482789c709fdde8b9be238311cc123f74a80472bc3db3116dc93eec99f66
SHA512: 07e98596cd7b658fcd4872f7d19da180dbc7e82d965b40d838f310cbabf559823c5d2de9565028c81a40e5723793716ee84ebf636293ece8d4b0a977c767d139
Homepage: https://cran.r-project.org/package=MBCbook
Description: CRAN Package 'MBCbook' (Companion Package for the Book "Model-Based Clustering andClassification for Data Science")
 The companion package provides all original data sets and functions that are
 used in the book "Model-Based Clustering and Classification for Data
 Science" by Charles Bouveyron, Gilles Celeux, T. Brendan Murphy and Adrian
 E. Raftery (2019, ISBN:9781108644181).

Package: r-cran-mbcluster.seq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mbcluster.seq_1.0-1.ca2004.1_all.deb
Size: 118856
MD5sum: 8cb2974857735c556851ef62ea8a07a6
SHA1: 271501883cce7b0bd462a2d32ac69257ab51a37c
SHA256: 21b16f1f092f2914119bcc4a34cb8f0cdcb44b9780b23fd15d10504b717e1a56
SHA512: 01cac4a16bcec2e8781c9dd0bad59e4df9250abe1e420ca0314bb3bd83d32dcdbe0ea4e53e906c01986d764ca1043ab74cbaa72d172abeb41f9fb8b55b2625ab
Homepage: https://cran.r-project.org/package=MBCluster.Seq
Description: CRAN Package 'MBCluster.Seq' (Model-Based Clustering for RNA-seq Data)
 Cluster genes based on Poisson or Negative-Binomial model for RNA-Seq or
 other digital gene expression (DGE) data

Package: r-cran-mbclusterwise
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-doparallel, r-cran-foreach, r-cran-kknn
Filename: pool/dists/focal/main/r-cran-mbclusterwise_1.0-1.ca2004.1_all.deb
Size: 116756
MD5sum: 1899c2f8d3b3052440c747ac7870a097
SHA1: 2708dd20ca6e600d210a0ea311df6a3ab9abab88
SHA256: 5cd404f667613123564bac30c4a646cf532115e15e74e381c63baaa249087653
SHA512: a38c072fa4574037a1727ddf59fe08907ba600b5789697e177029ca86dd384cf11b9429379c2a928833ac03981a89fa67c57ffd8929699974c06c6ee49245d9b
Homepage: https://cran.r-project.org/package=mbclusterwise
Description: CRAN Package 'mbclusterwise' (Clusterwise Multiblock Analyses)
 Perform clusterwise multiblock analyses (clusterwise multiblock Partial
 Least Squares, clusterwise multiblock Redundancy Analysis or a regularized
 method between the two latter ones) associated with a F-fold
 cross-validation procedure to select the optimal number of clusters and
 dimensions.

Package: r-cran-mbend
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mbend_1.3.1-1.ca2004.1_all.deb
Size: 32188
MD5sum: c5326c5dd5c5b0a8b7056b407fedd9a5
SHA1: 0108e7b3eafe7ab44795d16c02fb9b00c9e32fe4
SHA256: a2ea6aac0037c344c2d9b30e5c170d64f202375ac73385628d027ff57095ec36
SHA512: e5a5859a9498964f4f65c2899bee134e651b93952a03213a91297a51f53c816ebf40254a8f33c2c525bd81d1a4f6fceefe5ebd966e483968f48665af26592e92
Homepage: https://cran.r-project.org/package=mbend
Description: CRAN Package 'mbend' (Matrix Bending)
 Bending non-positive-definite (symmetric) matrices to positive-definite,
 using weighted and unweighted methods.  Jorjani, H., et al. (2003)
 <doi:10.3168/jds.S0022-0302(03)73646-7>.  Schaeffer, L. R. (2014)
 <http://animalbiosciences.uoguelph.ca/~lrs/ELARES/PDforce.pdf>.

Package: r-cran-mbess
Architecture: all
Version: 4.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-lavaan, r-cran-mass, r-cran-mnormt, r-cran-nlme, r-cran-openmx, r-cran-sem, r-cran-semtools
Suggests: r-cran-gsl
Filename: pool/dists/focal/main/r-cran-mbess_4.9.3-1.ca2004.1_all.deb
Size: 1020608
MD5sum: b13a48aab18dced1e91d01af3760f00b
SHA1: 341a6674480889c306e8c2d3bd5a94b649986287
SHA256: 4f427fec0af7b8d0e1a961a59578d24f4beb82bf15a90669577feb16eb7d26f4
SHA512: f6a3262e7525792f15575021aae4d9d31f0f0eb2d65e0ed0950886b604b06d745c1fdf3a00ecc15a7bcaafd7cd5f44d2885d2c5f6bc5eeea7bb122e62a70c2af
Homepage: https://cran.r-project.org/package=MBESS
Description: CRAN Package 'MBESS' (The MBESS R Package)
 Implements methods that are useful in designing research studies and
 analyzing data, with particular emphasis on methods that are developed for
 or used within the behavioral, educational, and social sciences (broadly
 defined). That being said, many of the methods implemented within MBESS are
 applicable to a wide variety of disciplines. MBESS has a suite of functions
 for a variety of related topics, such as effect sizes, confidence intervals
 for effect sizes (including standardized effect sizes and noncentral effect
 sizes), sample size planning (from the accuracy in parameter estimation
 [AIPE], power analytic, equivalence, and minimum-risk point estimation
 perspectives), mediation analysis, various properties of distributions, and
 a variety of utility functions. MBESS (pronounced 'em-bes') was originally
 an acronym for 'Methods for the Behavioral, Educational, and Social
 Sciences,' but MBESS became more general and now contains methods applicable
 and used in a wide variety of fields and is an orphan acronym, in the sense
 that what was an acronym is now literally its name. MBESS has greatly
 benefited from others, see <https://www3.nd.edu/~kkelley/site/MBESS.html>
 for a detailed list of those that have contributed and other details.

Package: r-cran-mbg
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4278
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-caret, r-cran-data.table, r-cran-glue, r-cran-matrix, r-cran-matrixstats, r-cran-purrr, r-cran-r6, r-cran-sf, r-cran-terra, r-cran-tictoc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-mbg_1.1.0-1.ca2004.1_all.deb
Size: 3131920
MD5sum: 095e4e1db34cdd886c230150b727a6f7
SHA1: 0c039e3895ea8f1ba37427a3a2e0c30e1d4ec26c
SHA256: b3b126573d7768cb64c63ee0880cc85c5d4b2d6d613e02cc067d6c3661d8a421
SHA512: a4b4b5bbe609af81ed6890de48956b9df6f7604b674f6f126da95898d0111f3b7880c7eb4b2dccc90bdb12e737a52495fbfe4042f80b64ea0a696f34323c451a
Homepage: https://cran.r-project.org/package=mbg
Description: CRAN Package 'mbg' (Model-Based Geostatistics)
 Modern model-based geostatistics for point-referenced data. This package
 provides a simple interface to run spatial machine learning models and
 geostatistical models that estimate a continuous (raster) surface from
 point-referenced outcomes and, optionally, a set of raster covariates. The
 package also includes functions to summarize raster outcomes by (polygon)
 region while preserving uncertainty.

Package: r-cran-mbhdesign
Architecture: all
Version: 2.3.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 825
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mgcv, r-cran-geometry, r-cran-randtoolbox, r-cran-mvtnorm, r-cran-class, r-cran-terra
Suggests: r-cran-spsurvey, r-cran-mass, r-cran-fields, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mbhdesign_2.3.15-1.ca2004.1_all.deb
Size: 610164
MD5sum: 001036a5d70d52847d6d8a180a35c7e1
SHA1: 64bd2489fd40d593a5410c2147450515059ac4d3
SHA256: 02511e4789deda2ba4b3ce75cb2fcdf42e2ae76c19e42c19afab949b77095aa0
SHA512: 4dfe51f44c26574e6f6edc9e11bd2fee22168344b860f98ed75e8cc665009b7ae1006c7eedf7cb9209d784cc7c8f556d51c9e8c5ab866cc5066d2739baaf3a79
Homepage: https://cran.r-project.org/package=MBHdesign
Description: CRAN Package 'MBHdesign' (Spatial Designs for Ecological and Environmental Surveys)
 Provides spatially survey balanced designs using the quasi-random number
 method described Robinson et al. (2013) <doi:10.1111/biom.12059> and
 adjusted in Robinson et al. (2017) <doi:10.1016/j.spl.2017.05.004>. Designs
 using MBHdesign can: 1) accommodate, without substantial detrimental effects
 on spatial balance, legacy sites (Foster et al., 2017
 <doi:10.1111/2041-210X.12782>); 2) be based on points or transects (foster
 et al. 2020 <doi:10.1111/2041-210X.13321> and produce clustered samples
 (Foster et al. (in press). Additional information about the package use
 itself is given in Foster (2021) <doi:10.1111/2041-210X.13535>.

Package: r-cran-mbi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mbi_1.0-1.ca2004.1_all.deb
Size: 77208
MD5sum: 72c419293d4a488a8569787202d05af2
SHA1: 7b5eac8a4ee78281e714950c3e76151f188fbceb
SHA256: bcb644ff73a3a4079f4e0497fa6d794dfe3484d8f6a758ea8703287da0918c9f
SHA512: 5c63d1710631198ba5698793a673c996390825c7cb700ca9e3ce43c6f53b44753cb90dde13fbdc9d11973545ae0221a62ffae7e31752c1b7b767928687e121d0
Homepage: https://cran.r-project.org/package=MBI
Description: CRAN Package 'MBI' ((M)ultiple-site (B)iodiversity (I)ndices Calculator)
 Over 20 multiple-site diversity indices can be calculated.  Later versions
 will include phylogenetic diversity

Package: r-cran-mbir
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1020
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-effsize, r-cran-psych
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mbir_1.3.5-1.ca2004.1_all.deb
Size: 433524
MD5sum: 0ac63508784965ab4e808926e7143e50
SHA1: a106ff9d3bdad7382aee038a7154e632ee775eb0
SHA256: eb8909bb033912cb54a71ad73cf0aecce77f6eb344f2e3d800987b2229e5c54d
SHA512: b6b875af41cea2e4479281ef30b0d9069410ba7530c4a17a054d51c6bcc4b64a5704bc5487b6773cdfdfa598fdb847fe7b67a5057baea8f83cc3c8904d2b3c18
Homepage: https://cran.r-project.org/package=mbir
Description: CRAN Package 'mbir' (Magnitude-Based Inferences)
 Allows practitioners and researchers a wholesale approach for deriving
 magnitude-based inferences from raw data. A major goal of 'mbir' is to
 programmatically detect appropriate statistical tests to run in lieu of
 relying on practitioners to determine correct stepwise procedures
 independently.

Package: r-cran-mblm
Architecture: all
Version: 0.12.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mblm_0.12.1-1.ca2004.1_all.deb
Size: 26112
MD5sum: 7d645e860643fa62a625ad0b42857b6b
SHA1: ac85b0a9be759ce38a78d3a6a1c7a7b771f1d683
SHA256: 6507d56676a4b5ee079199187c55db770c5151947a7b9e36ebcc800466923489
SHA512: fd15fe4efce7302270ef6e566c43fe20cffd62ae41ddbf743f722cb4b8ba40ca37ade9a4cd63baeabe3701850e799df299dd16a0132ff9551281fe5482b7b5df
Homepage: https://cran.r-project.org/package=mblm
Description: CRAN Package 'mblm' (Median-Based Linear Models)
 Provides linear models based on Theil-Sen single median and Siegel repeated
 medians. They are very robust (29 or 50 percent breakdown point,
 respectively), and if no outliers are present, the estimators are very
 similar to OLS.

Package: r-cran-mbmca
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-robustbase, r-cran-chippcr
Suggests: r-cran-spelling, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mbmca_1.1-0-1.ca2004.1_all.deb
Size: 306232
MD5sum: b2acd0ee45f8a48bcfbfff0a17abb94c
SHA1: bf3bc876c74b27bd74099c2693b237e326484cd3
SHA256: 30cc60f9f6a204423486efcbe8fee0ebfac7a07879fb91f22aa6d1e603ed14a9
SHA512: 6804f73dcf2599fcba61a75e07751e8ae5fd14d685333ec0aa19d8f117c3e7a728ca764851f1423175faf8d5d5fa660571b74c223d1b8b93595773a27a4017ae
Homepage: https://cran.r-project.org/package=MBmca
Description: CRAN Package 'MBmca' (Nucleic Acid Melting Curve Analysis)
 Lightweight utilities for nucleic acid melting curve analysis are important
 in life sciences and diagnostics. This software can be used for the analysis
 and presentation of melting curve data from microbead-based assays (surface
 melting curve analysis) and reactions in solution (e.g., quantitative PCR
 (qPCR), real-time isothermal Amplification). Further information are
 described in detail in two publications in The R Journal [
 <https://journal.r-project.org/archive/2013-2/roediger-bohm-schimke.pdf>;
 <https://journal.r-project.org/archive/2015-1/RJ-2015-1.pdf>].

Package: r-cran-mbmethpred
Architecture: all
Version: 0.1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4261
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-ggplot2, r-cran-catools, r-cran-caret, r-cran-keras, r-cran-mass, r-cran-rtsne, r-cran-snftool, r-cran-class, r-cran-dplyr, r-cran-e1071, r-cran-proc, r-cran-randomforest, r-cran-readr, r-cran-reshape2, r-cran-reticulate, r-cran-rgl, r-cran-tensorflow, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-scales
Filename: pool/dists/focal/main/r-cran-mbmethpred_0.1.4.3-1.ca2004.1_all.deb
Size: 4232240
MD5sum: 27e42e92a821d56ac9588577928d3d67
SHA1: 80517e4d6fca31a8971c8a8081162e6b343581a7
SHA256: 517d4938326850d2897e75b3763f2582447290fc8f0474b2159364298f942000
SHA512: d3485bbfce4de5ad5f669d6a27df3b3ffe6c0aeecf9a19abc5b7bdb46f4f3e34312bc07ccbe214bf6eea5c08d291128de0b275faa2a831fc2c256cea605e8d9d
Homepage: https://cran.r-project.org/package=MBMethPred
Description: CRAN Package 'MBMethPred' (Medulloblastoma Subgroups Prediction)
 Utilizing a combination of machine learning models (Random Forest, Naive
 Bayes, K-Nearest Neighbor, Support Vector Machines, Extreme Gradient
 Boosting, and Linear Discriminant Analysis) and a deep Artificial Neural
 Network model, 'MBMethPred' can predict medulloblastoma subgroups, including
 wingless (WNT), sonic hedgehog (SHH), Group 3, and Group 4 from DNA
 methylation beta values. See Sharif Rahmani E, Lawarde A, Lingasamy P,
 Moreno SV, Salumets A and Modhukur V (2023), MBMethPred: a computational
 framework for the accurate classification of childhood medulloblastoma
 subgroups using data integration and AI-based approaches. Front. Genet.
 14:1233657. <doi: 10.3389/fgene.2023.1233657> for more details.

Package: r-cran-mbmixture
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mbmixture_0.6-1.ca2004.1_all.deb
Size: 44216
MD5sum: 3b4c050bdb66642dddbb338f51c1f3d8
SHA1: 07d820c0de46f020df730078d4806a9b121ae98f
SHA256: 35d69107b4d405a4b2874f20cb7e8d475fa65d8ecaba75b3fac8923193969d7a
SHA512: 4c92d0a360196411904c362d5619ea2e3f3a4edd2c1dd7da1421fd9cd2dcf8690aaba124d977dd62ca6efebb791c708d0c26bedea0cb3ccb248b8c17459c696f
Homepage: https://cran.r-project.org/package=mbmixture
Description: CRAN Package 'mbmixture' (Microbiome Mixture Analysis)
 Evaluate whether a microbiome sample is a mixture of two samples, by fitting
 a model for the number of read counts as a function of single nucleotide
 polymorphism (SNP) allele and the genotypes of two potential source samples.
 Lobo et al. (2021) <doi:10.1093/g3journal/jkab308>.

Package: r-cran-mbnmadose
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1871
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scales, r-cran-dplyr, r-cran-r2jags, r-cran-rjags, r-cran-magrittr, r-cran-checkmate, r-cran-rdpack, r-cran-igraph, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-overlapping, r-cran-rcolorbrewer, r-cran-mcmcplots, r-cran-coda, r-cran-testthat, r-cran-crayon, r-cran-forestplot, r-cran-ggdist, r-cran-zoo, r-cran-lspline, r-cran-formatr, r-cran-netmeta, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mbnmadose_0.5.0-1.ca2004.1_all.deb
Size: 1257496
MD5sum: e220dd230231c1e303a1d144b4ca9edb
SHA1: d7c2329d6dda7c668e9b1e543a996f6b931578ae
SHA256: 3ac99f26e0fbc746a85e451fc3e0a283eab2ae7750525979b3142346838fbd41
SHA512: 6da9d23de32c86a960a7236e1dd70ab852516b19f66976d352b113767c238d10086d284856207be17c7267d2f153c3f30128e730558bc107a22772cf1fd6162e
Homepage: https://cran.r-project.org/package=MBNMAdose
Description: CRAN Package 'MBNMAdose' (Dose-Response MBNMA Models)
 Fits Bayesian dose-response model-based network meta-analysis (MBNMA) that
 incorporate multiple doses within an agent by modelling different
 dose-response functions, as described by Mawdsley et al. (2016)
 <doi:10.1002/psp4.12091>.  By modelling dose-response relationships this can
 connect networks of evidence that might otherwise be disconnected, and can
 improve precision on treatment estimates. Several common dose-response
 functions are provided; others may be added by the user. Various
 characteristics and assumptions can be flexibly added to the models, such as
 shared class effects. The consistency of direct and indirect evidence in the
 network can be assessed using unrelated mean effects models and/or by
 node-splitting at the treatment level.

Package: r-cran-mbnmatime
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3024
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-gridextra, r-cran-dplyr, r-cran-r2jags, r-cran-rjags, r-cran-reshape2, r-cran-magrittr, r-cran-checkmate, r-cran-igraph, r-cran-scales, r-cran-lspline, r-cran-crayon, r-cran-ggplot2, r-cran-ggdist, r-cran-png, r-cran-zoo, r-cran-rdpack
Suggests: r-cran-overlapping, r-cran-hmisc, r-cran-rmarkdown, r-cran-testthat, r-cran-rcolorbrewer, r-cran-mcmcplots
Filename: pool/dists/focal/main/r-cran-mbnmatime_0.2.6-1.ca2004.1_all.deb
Size: 2533620
MD5sum: 21d50596144ab79335ec0e1edb395f44
SHA1: 62915bd7d1cc62ebf709fcf02a41f999ff4fa5cd
SHA256: f419b942a93cfadd4886327df08c9a3b9f9095c728448cf32cc25d0a3437d8af
SHA512: 367438fbd178ab3f40347e48f4779830359fdf41198352bc7233f8130953c43300373b8f4b6e69d4f9ddcefd1c7904b67d59f13af9d90af7004b8beadb76d041
Homepage: https://cran.r-project.org/package=MBNMAtime
Description: CRAN Package 'MBNMAtime' (Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models)
 Fits Bayesian time-course models for model-based network meta-analysis
 (MBNMA) that allows inclusion of multiple time-points from studies. Repeated
 measures over time are accounted for within studies by applying different
 time-course functions, following the method of Pedder et al. (2019)
 <doi:10.1002/jrsm.1351>.  The method allows synthesis of studies with
 multiple follow-up measurements that can account for time-course for a
 single or multiple treatment comparisons. Several general time-course
 functions are provided; others may be added by the user. Various
 characteristics can be flexibly added to the models, such as correlation
 between time points and shared class effects. The consistency of direct and
 indirect evidence in the network can be assessed using unrelated mean
 effects models and/or by node-splitting.

Package: r-cran-mboxr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-tibble, r-cran-magrittr, r-cran-purrr, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mboxr_0.2.0-1.ca2004.1_all.deb
Size: 28652
MD5sum: 76c9a9676a0c06b82d62365b412e514a
SHA1: f591b69c0149c5e8594908415159448f16de67f8
SHA256: a4fa3911b780103e6ee5f768a92774752a69e2c3381e2202d26cb6bb1afb3348
SHA512: 4fc282a1e2b578c3b4f51cdc4137b1556c0eeb4941f9f3167696bf65a6393cc912ce2508039e1ae22b8abb047483297ed1646e1640fcbe7fcb172c5a8a5b3194
Homepage: https://cran.r-project.org/package=mboxr
Description: CRAN Package 'mboxr' (Reading, Extracting, and Converting an Mbox File into a Tibble)
 Importing and converting an mbox file into a tibble object.

Package: r-cran-mbr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplr, r-cran-mass, r-cran-matrix, r-cran-rfast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mbr_0.0.1-1.ca2004.1_all.deb
Size: 81252
MD5sum: 680612a8b4cb174cd64e3d4ad07232f9
SHA1: 174a3b7e2bf2f58deb7e1b772f11bf7531444541
SHA256: cdc399e717c47859c2ff4ab3d2ec2a834dcc05afe6eb7f356da75cb2b0a25949
SHA512: 73513bd9df44f21e8bc0c5c55992b95979a3c81a5e64cb1b632b0d363837571d6ac01b8f5302ba6cbe3989d0e22196c9457ddf581cf87b9a54e330c31e847424
Homepage: https://cran.r-project.org/package=mbr
Description: CRAN Package 'mbr' (Mass Balance Reconstruction)
 Mass-balance-adjusted Regression algorithm for streamflow reconstruction at
 sub-annual resolution (e.g., seasonal or monthly). The algorithm implements
 a penalty term to minimize the differences between the total sub-annual
 flows and the annual flow. The method is described in Nguyen et al (2020)
 <DOI:10.1002/essoar.10504791.1>.

Package: r-cran-mbrdr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mbrdr_1.1.1-1.ca2004.1_all.deb
Size: 61308
MD5sum: d5bc4add1f0ae07643db0869f5fa6a19
SHA1: 1b63535b1249040395d6efb27ca868e82638b6c1
SHA256: 1eb88af4f2a79cd48b990cab7efe82a7846f027a46b29ab10b733bad513e0f01
SHA512: 98927cf6dda87c25ce4d5eba6ffa48718f3b95947d17136dbb4ad246058c1468bdd865c9c992b0c8a96d249d361dba39564a012f7f31f1d76c8548546fc6a583
Homepage: https://cran.r-project.org/package=mbrdr
Description: CRAN Package 'mbrdr' (Model-Based Response Dimension Reduction)
 Functions for model-based response dimension reduction. Usual dimension
 reduction methods in multivariate regression focus on the reduction of
 predictors, not responses.  The response dimension reduction is
 theoretically founded in Yoo and Cook (2008)
 <doi:10.1016/j.csda.2008.07.029>. Later, three model-based response
 dimension reduction approaches are proposed in Yoo (2016)
 <doi:10.1080/02331888.2017.1410152> and Yoo (2019)
 <doi:10.1016/j.jkss.2019.02.001>. The method by Yoo and Cook (2008) is based
 on non-parametric ordinary least squares, but the model-based approaches are
 done through maximum likelihood estimation. For two model-based response
 dimension reduction methods called principal fitted response reduction and
 unstructured principal fitted response reduction, chi-squared tests are
 provided for determining the dimension of the response subspace.

Package: r-cran-mbreaks
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 449
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mbreaks_1.0.1-1.ca2004.1_all.deb
Size: 312056
MD5sum: 09f03d112befc1d1451b07f2a32906a6
SHA1: eaeb89e6d4ef0711095425e28ebb14162484a845
SHA256: ba5c7ee7525b42b376b6a3b9cf38d9589279f029100336182f7b277dee23fbdb
SHA512: f441b75a9660fecfa292cf7813b45109040802ed89b2200f38233fc05f733c4bc054c23a1bec261d8dfedea132328e138590716987d2cbd1ec6982c001b1d217
Homepage: https://cran.r-project.org/package=mbreaks
Description: CRAN Package 'mbreaks' (Estimation and Inference for Structural Breaks in LinearRegression Models)
 Functions provide comprehensive treatments for estimating, inferring,
 testing and model selecting in linear regression models with structural
 breaks. The tests, estimation methods, inference and information criteria
 implemented are discussed in Bai and Perron (1998) "Estimating and Testing
 Linear Models with Multiple Structural Changes" <doi:10.2307/2998540>.

Package: r-cran-mbres
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-forcats, r-cran-tidyr, r-cran-purrr, r-cran-data.table, r-cran-scales
Suggests: r-cran-rprobsup
Filename: pool/dists/focal/main/r-cran-mbres_0.1.7-1.ca2004.1_all.deb
Size: 111060
MD5sum: 50aff4c896bad45cde77fa40ee77c5bc
SHA1: d23c174646efba36615f41c0c830ae08f9b37b8e
SHA256: 0694707f5a48db350961058f1253ab850796a9585be64a4a9144d20f5f2a09ee
SHA512: 5d3e48e226e90117a60118e4c72334fab63dee8aa7ac422d195cc30944a64b206175a785ae9f3adc3a1a1a21e6e12fbd7c159b14240673becabdd59ce2869e33
Homepage: https://cran.r-project.org/package=mbRes
Description: CRAN Package 'mbRes' (Exploration of Multiple Biomarker Responses using Effect Size)
 Summarize multiple biomarker responses of aquatic organisms to contaminants
 using Cliff’s delta, as described in Pham & Sokolova (2023)
 <doi:10.1002/ieam.4676>.

Package: r-cran-mbsgs
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-mass, r-cran-mgcv, r-cran-mnormt, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-mbsgs_1.1.0-1.ca2004.1_all.deb
Size: 98816
MD5sum: 7bfdf57d9e06200cd07e066e7fbf2ee7
SHA1: 8a93190137e740e2944017421b1c9baf5706fd78
SHA256: d64070516bd2655569f17787aaf78ac48becbafb34c67d88fe51485c09293624
SHA512: 951a5bbd34a6200fc4a89aa88687e7c70faea9b78d0bff0225d0531a004437f606368a20c8da9a80eda11a9faf71209d59d60e0441d7827881247f8e922cbbba
Homepage: https://cran.r-project.org/package=MBSGS
Description: CRAN Package 'MBSGS' (Multivariate Bayesian Sparse Group Selection with Spike and Slab)
 An implementation of a Bayesian sparse group model using spike and slab
 priors in a regression context. It is designed for regression with a
 multivariate response variable, but also provides an implementation for
 univariate response.

Package: r-cran-mbsts
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kfas, r-cran-matrix, r-cran-pscl, r-cran-mcmcpack, r-cran-mass, r-cran-ggplot2, r-cran-reshape2, r-cran-bbmisc, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mbsts_3.0-1.ca2004.1_all.deb
Size: 97464
MD5sum: d46d6779e1575bbc9cd626c826d3956c
SHA1: 0e746ff51bd08941ce66a5d56ac70e0ed407995b
SHA256: e575294d45c1fce1d081fd0b3c6dc44457579a44168ccfb116756d225c5a6b57
SHA512: 75738c7402983fb9cddab6df55e5a31a5d23a09bb1ca06537aa7303e17bf04ea2c61beaeb9fa7001bd0abcf859238287d092e41c14d8300cb78befe6fddb9c33
Homepage: https://cran.r-project.org/package=mbsts
Description: CRAN Package 'mbsts' (Multivariate Bayesian Structural Time Series)
 Tools for data analysis with multivariate Bayesian structural time series
 (MBSTS) models.  Specifically, the package provides facilities for
 implementing general structural time series models, flexibly adding on
 different time series components (trend, season, cycle, and regression),
 simulating them, fitting them to multivariate correlated time series data,
 conducting feature selection on the regression component.

Package: r-cran-mbx
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-openxlsx, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mbx_0.1.3-1.ca2004.1_all.deb
Size: 72812
MD5sum: 994025f4d185dea8a0dd7c3fcd4aa057
SHA1: 368251f977b45b0957555c54d727735648c2c173
SHA256: 5d944971cb78de709c9e19e55732f4c972be819c7040566128487c1b549ec3af
SHA512: 9719acaa5e2890ce7122c5c412f1dae2a2af451c1d8b19c916384af28ef193bfa50a0f1b49c189b69b3250084293c5700843ad4017faafbf737fa358a41c72e9
Homepage: https://cran.r-project.org/package=mbX
Description: CRAN Package 'mbX' (A Comprehensive Microbiome Data Processing Pipeline)
 Provides tools for cleaning, processing, and preparing microbiome sequencing
 data (e.g., 16S rRNA) for downstream analysis. Supports CSV, TXT, and
 'Excel' file formats. The main function, ezclean(), automates microbiome
 data transformation, including format validation, transposition, numeric
 conversion, and metadata integration. Also ensures efficient handling of
 taxonomic levels, resolves duplicated taxa entries, and outputs a
 well-structured, analysis-ready dataset.

Package: r-cran-mc.heterogeneity
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-boot.heterogeneity
Suggests: r-cran-hsaur3, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mc.heterogeneity_0.1.2-1.ca2004.1_all.deb
Size: 56148
MD5sum: 512485043cc5411042e7708838c5436e
SHA1: 81e6385acc71c11cb7947e0e4876cc6880dd6b77
SHA256: e0e797fd6fd7c4c75bb4716d223ad135a69c3f128083c3baf25aca9abb4ee108
SHA512: 9a1d73995460b6976ca7fc2abad77c6d19607d2b8e99769a8c5d3027bee987b22efcb456cc838490bb0cf006ef5f1da625818ee1f7c9b59dbcfa7fd40bf1ae07
Homepage: https://cran.r-project.org/package=mc.heterogeneity
Description: CRAN Package 'mc.heterogeneity' (A Monte Carlo Based Heterogeneity Test for Meta-Analysis)
 Implements a Monte Carlo Based Heterogeneity Test for standardized mean
 differences (d), Fisher-transformed Pearson's correlations (r), and
 natural-logarithm-transformed odds ratio (OR) in Meta-Analysis Studies.
 Depending on the presence of moderators, this Monte Carlo Based Test can be
 implemented in the random or mixed-effects model. This package uses rma()
 function from the R package 'metafor' to obtain parameter estimates and
 likelihood, so installation of R package 'metafor' is required. This
 approach refers to the studies of Hedges (1981)
 <doi:10.3102/10769986006002107>, Hedges & Olkin (1985, ISBN:978-0123363800),
 Silagy, Lancaster, Stead, Mant, & Fowler (2004)
 <doi:10.1002/14651858.CD000146.pub2>, Viechtbauer (2010)
 <doi:10.18637/jss.v036.i03>, and Zuckerman (1994, ISBN:978-0521432009).

Package: r-cran-mc2d
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1820
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-ggplot2, r-cran-ggpubr
Suggests: r-cran-fitdistrplus, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mc2d_0.2.1-1.ca2004.1_all.deb
Size: 1395856
MD5sum: 10b1c52a417a629434406db072f19702
SHA1: a0909f59b35c4dad4885eab39ae083911157178c
SHA256: 747ef13ca56ef9ef03918b4e2b1ede1ce57c715524f7eaa2049cb01af527d8d5
SHA512: 55691e452e5773bc92c75541b21af8e8ad4869908cb6493b474fc75b78ae8bdf35cd5e7a10136f4f36ba5932ce2fd7869d8f7d98afd8632842fabbda86bd4a3b
Homepage: https://cran.r-project.org/package=mc2d
Description: CRAN Package 'mc2d' (Tools for Two-Dimensional Monte-Carlo Simulations)
 A complete framework to build and study Two-Dimensional Monte-Carlo
 simulations, aka Second-Order Monte-Carlo simulations. Also includes various
 distributions (pert, triangular, Bernoulli, empirical discrete and
 continuous).

Package: r-cran-mc2topath
Architecture: all
Version: 0.0.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 916
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rnetcdf
Filename: pool/dists/focal/main/r-cran-mc2topath_0.0.16-1.ca2004.1_all.deb
Size: 366040
MD5sum: 407816ca257cb49bff838ee391454fac
SHA1: 8235d1b51e3e6c1c691c0e94fcfab4436f14da0f
SHA256: 602f57fc980d029bcedf0eacdb28777c5f64dc9c959570e52091b0fa78b2c87b
SHA512: 357fc46cffab85eda3a7e3f8e6ce1dc54fc6144e027a5e81afaf5f74f5bf09a29d96c3035d672b3756a47cf6a707a5327ca488314998cd3c39e3c01a534f575a
Homepage: https://cran.r-project.org/package=MC2toPath
Description: CRAN Package 'MC2toPath' (Translates information from netcdf files with MC2 output intointer-PVT transitions)
 Post processes MC2 output, especially for use by Path or ST-Sim.  MC2 (short
 for "MC1 version 2") is a dynamic global vegetation model
 (en.wikipedia.org/wiki/DGVM).  Path (essa.com/tools/path) and ST-Sim
 (www.apexrms.com) are state-and-transition model (STM) engines. MC2 has a
 user website at sites.google.com/site/mc1dgvmusers.  Since 2001, MC1 has
 been used to simulate changes in natural vegetation due to climate change at
 scales from regional to global.  In 2012, MC1 was reimplemented in C++ to
 make it faster and to reduce storage requirements.  This newer version is
 referred to as MC2, an abbreviation of "MC1 version 2".  Beginning in 2011,
 output from MC1 and MC2 has been used to inform regional
 state-and-transition model simulations by the U.S. Forest Service and the
 Washington State Department of Natural Resources.  Projects to date have
 involved study areas in central Oregon, the Olympic Peninsula, the Blue
 Mountains ecoregion, southwestern Oregon, and southeastern Oregon.  In the
 first of this series of projects, the netCDF output files from MC2 were
 manually post-processed, mostly in Excel, to produce input .csv files for
 the STM engines. Beginning with the second project, R scripts were used to
 automate the post-processing work.  These R scripts have been collected into
 the MC2toPath R-package.

Package: r-cran-mcauchyd
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-mass, r-cran-lifecycle, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcauchyd_1.3.3-1.ca2004.1_all.deb
Size: 59680
MD5sum: 6cb832df0b12d3efefa40ac13f44a3cc
SHA1: f5e5a4448fdb3019bf059eec37ea3624a14a404e
SHA256: b6a9e93a29fb3b84741bc61ea12118d35a3fdca52e11a6bc568c5415f105788f
SHA512: e1492367b550e0068ac64af1c2f7d091cfc613c23c6800774dd7a986e6d0454f0170444ab80999198c01b3eea877110ac90fd01839d4b6fc73a4377d4d853d70
Homepage: https://cran.r-project.org/package=mcauchyd
Description: CRAN Package 'mcauchyd' (Multivariate Cauchy Distribution; Kullback-Leibler Divergence)
 Distance between multivariate Cauchy distributions, as presented by N.
 Bouhlel and D. Rousseau (2022) <doi:10.3390/e24060838>. Manipulation of
 multivariate Cauchy distributions.

Package: r-cran-mcavariants
Architecture: all
Version: 2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-mcavariants_2.6.1-1.ca2004.1_all.deb
Size: 90120
MD5sum: e7a3712e79fae735d194232c0619744d
SHA1: 303eb896a820d19fb12162f9b95effdda9da03c3
SHA256: 2b22053a2da21123fc3d51dbbec015d576b1f973c11fd5016294103f47bab908
SHA512: e556a221b774146f28ebb63bb5d24674c6052ed246d70a318939a59ba82e68320b6910d1a01dbc4a3e03453fd6520908dd8e3b3ab1b53409b879cbbcffa7934b
Homepage: https://cran.r-project.org/package=MCAvariants
Description: CRAN Package 'MCAvariants' (Multiple Correspondence Analysis Variants)
 Provides two variants of multiple correspondence analysis (ca): multiple ca
 and ordered multiple ca via orthogonal polynomials of Emerson.

Package: r-cran-mcb
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps, r-cran-lars, r-cran-mass, r-cran-glmnet, r-cran-ncvreg, r-cran-smoothmest, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-flare, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcb_0.1.15-1.ca2004.1_all.deb
Size: 61900
MD5sum: 28a08c9f16c2cd6356cd901ce1b8562d
SHA1: 3617b601e78d10b13e27a5e083c368ebf8b81ef2
SHA256: fe6ae667d5f30870e29fd7b701a04acbd0083e8b2c2abcade5371e5926551c2a
SHA512: df727d8c3ea3b0428d12d617117ae4b50320fbe14d2b0179961dc3dd8544265a61221ff220e96fffc40c8e306a94f9888102e453af7749b5202c4ebdbf2591c9
Homepage: https://cran.r-project.org/package=mcb
Description: CRAN Package 'mcb' (Model Confidence Bounds)
 When choosing proper variable selection methods, it is important to consider
 the uncertainty of a certain method. The model confidence bound for variable
 selection identifies two nested models (upper and lower confidence bound
 models) containing the true model at a given confidence level. A good
 variable selection method is the one of which the model confidence bound
 under a certain confidence level has the shortest width. When visualizing
 the variability of model selection and comparing different model selection
 procedures, model uncertainty curve is a good graphical tool. A good
 variable selection method is the one of whose model uncertainty curve will
 tend to arch towards the upper left corner. This function aims to obtain the
 model confidence bound and draw the model uncertainty curve of certain
 single model selection method under a coverage rate equal or little higher
 than user-given confidential level. About what model confidence bound is and
 how it work please see Li,Y., Luo,Y., Ferrari,D., Hu,X. and Qin,Y. (2019)
 Model Confidence Bounds for Variable Selection. Biometrics, 75:392-403.
 <DOI:10.1111/biom.13024>. Besides, 'flare' is needed only you apply the SQRT
 or LAD method ('mcb' totally has 8 methods). Although 'flare' has been
 archived by CRAN, you can still get it in
 <https://CRAN.R-project.org/package=flare> and the latest version is useful
 for 'mcb'.

Package: r-cran-mcbackscattering
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcbackscattering_0.1.1-1.ca2004.1_all.deb
Size: 85556
MD5sum: 7bddd7746301effad966294c88ca3602
SHA1: d2a184b67aaa1a0a6a17f5175265af687f9c80ba
SHA256: 5ad5a3efbaccdc4649d3ebd876676371e5ccc8067e7bbd7568c926b871543c2d
SHA512: a90d5e447befa0ec559ae5e5e5c613411b307a16d5c2459a5b60a36050c9215fad521a8cbf454817478c5cb2107ee4c4c308ec6cef502d9dd57adce006879015
Homepage: https://cran.r-project.org/package=MCBackscattering
Description: CRAN Package 'MCBackscattering' (Monte Carlo Simulation for Surface Backscattering)
 Monte Carlo simulation is a stochastic method computing trajectories of
 photons in media. Surface backscattering is performing calculations in
 semi-infinite media and summarizing photon flux leaving the surface. This
 simulation is modeling the optical measurement of diffuse reflectance using
 an incident light beam. The semi-infinite media is considered to have flat
 surface. Media, typically biological tissue, is described by four optical
 parameters: absorption coefficient, scattering coefficient, anisotropy
 factor, refractive index. The media is assumed to be homogeneous.
 Computational parameters of the simulation include: number of photons,
 radius of incident light beam, lowest photon energy threshold, intensity
 profile (halo) radius, spatial resolution of intensity profile.  You can
 find more information and validation in the Open Access paper.  Laszlo
 Baranyai (2020) <doi:10.1016/j.mex.2020.100958>.

Package: r-cran-mcbette
Architecture: all
Version: 1.15.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2816
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-babette, r-cran-beautier, r-cran-beastier, r-cran-curl, r-cran-devtools, r-cran-mauricer, r-cran-rmpfr, r-cran-testit, r-cran-txtplot
Suggests: r-cran-ape, r-cran-ggplot2, r-cran-hunspell, r-cran-knitr, r-cran-lintr, r-cran-markdown, r-cran-nltt, r-cran-phangorn, r-cran-rappdirs, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-tracerer
Filename: pool/dists/focal/main/r-cran-mcbette_1.15.3-1.ca2004.1_all.deb
Size: 2006456
MD5sum: ff0274e25eba2017d4a0ec7d9c83ac43
SHA1: c33529310b3f7bcc080658aab2b6f4702e8e0989
SHA256: e4bce2c32aad5eb2f1631c83b38f9eb31bc097c254a8089c029521e3cd389c92
SHA512: 08e364e9975f0804101b29f99e8491c8845fca00c5f3344710a6e60da14e7dbb0e9c087b62e29d23da7f0d0bbe39edd987810a59d5dc66036182341192503cbc
Homepage: https://cran.r-project.org/package=mcbette
Description: CRAN Package 'mcbette' (Model Comparison Using 'babette')
 'BEAST2' (<https://www.beast2.org>) is a widely used Bayesian phylogenetic
 tool, that uses DNA/RNA/protein data and many model priors to create a
 posterior of jointly estimated phylogenies and parameters.  'mcbette' allows
 to do a Bayesian model comparison over some site and clock models, using
 'babette' (<https://github.com/ropensci/babette/>).

Package: r-cran-mcbftest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mcbftest_0.1.0-1.ca2004.1_all.deb
Size: 13064
MD5sum: f46e27d2b3c480c7c7cbc2e41ada7656
SHA1: 0437ec42d915c4d3c17e1cc869cfe54fd7e73a0e
SHA256: 86a2cf25f781d87f4889abf0ca35c0dfb8c074aa619bbf1137d3cb634e81dab7
SHA512: 305c5274e6d7d94d1b7e79ce509f2a92fcf79156ab97d8e63773381699b1bdbfce655d818c8a11675ac4c814005d5c67a0923fc84bb32c0f3bc3df972462684d
Homepage: https://cran.r-project.org/package=mcBFtest
Description: CRAN Package 'mcBFtest' (Monte Carlo Based Tests for the Behrens Fisher Problem as anAlternative to Welch's t-Approximation)
 Monte Carol based tests for the Behrens Fisher Problem enhance the
 statistical power and performs better than Welch's t-approximation, see
 Ullah et al. (2019).

Package: r-cran-mcbiopi
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcbiopi_1.1.6-1.ca2004.1_all.deb
Size: 30912
MD5sum: 7de15b19086ea1efe6974e89d799a306
SHA1: d48dd9cb4b783be69402c50978b4e03054848e68
SHA256: 0befb30c48232adbd8fdd9af129d44188a179c2598d126aecdeff59f0ee42336
SHA512: 6a8a19bde0f67b624d2808ff89cfd2c1c055c38b0c5eba81ee7ffb13ff021f1b70a68e98188934c793afd721d5f32f1421a1da92e508a8fe0aef0cbfd27453f6
Homepage: https://cran.r-project.org/package=mcbiopi
Description: CRAN Package 'mcbiopi' (Matrix Computation Based Identification of Prime Implicants)
 Computes the prime implicants or a minimal disjunctive normal form for a
 logic expression presented by a truth table or a logic tree. Has been
 particularly developed for logic expressions resulting from a logic
 regression analysis, i.e.  logic expressions typically consisting of up to
 16 literals, where the prime implicants are typically composed of a maximum
 of 4 or 5 literals.

Package: r-cran-mcboost
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3, r-cran-mlr3misc, r-cran-mlr3pipelines, r-cran-r6, r-cran-rmarkdown, r-cran-rpart, r-cran-glmnet
Suggests: r-cran-curl, r-cran-lgr, r-cran-formattable, r-cran-tidyverse, r-cran-practools, r-cran-mlr3learners, r-cran-mlr3oml, r-cran-neuralnet, r-cran-paradox, r-cran-knitr, r-cran-ranger, r-cran-xgboost, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcboost_0.4.3-1.ca2004.1_all.deb
Size: 309928
MD5sum: b6ec85892aff6670b8e7264d197d00cd
SHA1: 1c4cd2714e833cc3c9bde878e5ad756bec127bcc
SHA256: 328dc621cbc7b0d76c41db9b845d9db93ca2ae148b01efdc0b08ab280c58e046
SHA512: c0275177d240c871c50a537a22bb959f7ed8cc26d4ec97e6ad358f3f44f0cceff9eaef82baafd133d843a257a9c41a2a828190bfad44eadd21a4a6e5087de5fc
Homepage: https://cran.r-project.org/package=mcboost
Description: CRAN Package 'mcboost' (Multi-Calibration Boosting)
 Implements 'Multi-Calibration Boosting' (2018)
 <https://proceedings.mlr.press/v80/hebert-johnson18a.html> and
 'Multi-Accuracy Boosting' (2019) <doi:10.48550/arXiv.1805.12317> for the
 multi-calibration of a machine learning model's prediction.  'MCBoost'
 updates predictions for sub-groups in an iterative fashion in order to
 mitigate biases like poor calibration or large accuracy differences across
 subgroups.  Multi-Calibration works best in scenarios where the underlying
 data & labels are unbiased, but resulting models are.  This is often the
 case, e.g. when an algorithm fits a majority population while ignoring or
 under-fitting minority populations.

Package: r-cran-mcc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcc_1.0-1.ca2004.1_all.deb
Size: 38120
MD5sum: f6f571a55e969700102eb05e6ad90123
SHA1: 270373d5c2fc0fdda1f7face3308e332696959d5
SHA256: ab38ed73a0ecfcf57ddc21b49c2d2b018bf43a1de9cde17723129e0251f1f093
SHA512: 0287b711580c764a19c77cd34a8bee7d55493a4caadebff1d0a4998c6f731da064a2be64063d7ac14fc09454c5a3a32e3a4253f3ca3eb42e9420590d40e2461e
Homepage: https://cran.r-project.org/package=mcc
Description: CRAN Package 'mcc' (Moment Corrected Correlation)
 A number of biomedical problems involve performing many hypothesis tests,
 with an attendant need to apply stringent thresholds. Often the data take
 the form of a series of predictor vectors, each of which must be compared
 with a single response vector, perhaps with nuisance covariates. Parametric
 tests of association are often used, but can result in inaccurate type I
 error at the extreme thresholds, even for large sample sizes. Furthermore,
 standard two-sided testing can reduce power compared to the doubled p-value,
 due to asymmetry in the null distribution. Exact (permutation) testing
 approaches are attractive, but can be computationally intensive and
 cumbersome. MCC is an approximation to exact association testing of two
 vectors that is accurate and fast enough for standard use in high-throughput
 settings, and can easily provide standard two-sided or doubled p-values.

Package: r-cran-mcca
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-rpart, r-cran-e1071, r-cran-mass, r-cran-proc, r-cran-caret, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-mcca_0.7.0-1.ca2004.1_all.deb
Size: 102068
MD5sum: b68e6286fc79f5353209061ba536c6e5
SHA1: c4574500fd8d6d097a24c90388d6654840d60a89
SHA256: 26231a046c6e426caf205a564cccd71d1be07e5ef77ce85ff4f66dc39e0f6c30
SHA512: 35ff0236216748137090dc64fc9566ba763d7d92f878fe4f3b0c26680c29d0c4d3dfbf502507d192830b2bb6d2a4918a61d5af1cbb78ae8148882800b5b080d8
Homepage: https://cran.r-project.org/package=mcca
Description: CRAN Package 'mcca' (Multi-Category Classification Accuracy)
 It contains six common multi-category classification accuracy evaluation
 measures.  All of these measures could be found in Li and Ming (2019)
 <doi:10.1002/sim.8103>. Specifically, Hypervolume Under Manifold (HUM),
 described in Li and Fine (2008) <doi:10.1093/biostatistics/kxm050>.  Correct
 Classification Percentage (CCP), Integrated Discrimination Improvement
 (IDI), Net Reclassification Improvement (NRI), R-Squared Value (RSQ),
 described in Li, Jiang and Fine (2013) <doi:10.1093/biostatistics/kxs047>.
 Polytomous Discrimination Index (PDI), described in Van Calster et al.
 (2012) <doi:10.1007/s10654-012-9733-3>.  Li et al. (2018)
 <doi:10.1177/0962280217692830>.  We described all these above measures and
 our mcca package in Li, Gao and D'Agostino (2019) <doi:10.1002/sim.8103>.

Package: r-cran-mccf1
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-mccf1_1.1-1.ca2004.1_all.deb
Size: 23436
MD5sum: c0cb19455adf11f631f41a79cc5e2213
SHA1: 2b56b1277b919638149fab691c577c5541da3100
SHA256: cee5b821e71d139eabe87281146b32f60c5d6bf9039bf3d35a9c6e81a0af21a5
SHA512: 026524fc466448b68cfa4c9ae98212396c8f85cb1db0922e14c141c1655c97082a48eb78d734425f836d84e0b94011e1d78c74bc3b07108cfb42ea898b6bbb03
Homepage: https://cran.r-project.org/package=mccf1
Description: CRAN Package 'mccf1' (Creates the MCC-F1 Curve and Calculates the MCC-F1 Metric andthe Best Threshold)
 The MCC-F1 analysis is a method to evaluate the performance of binary
 classifications.  The MCC-F1 curve is more reliable than the Receiver
 Operating Characteristic (ROC) curve and the Precision-Recall (PR)curve
 under imbalanced ground truth.  The MCC-F1 analysis also provides the MCC-F1
 metric that integrates classifier performance over varying thresholds, and
 the best threshold of binary classification.

Package: r-cran-mccm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-polycor, r-cran-lavaan, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mccm_0.1.0-1.ca2004.1_all.deb
Size: 180616
MD5sum: 969c530054e70f5bcde1d2522b13995f
SHA1: 26a7acb746456f8feb34cc9b61158bae842156d6
SHA256: ff9e86db900619a93b150a1d946a1c34a5d67f2b22835cf721708b8bbfd0b688
SHA512: a16a9602f2c4e5f720482f3884724cd5d6c58db26689d02caa7d77a0ab13460414f86d0ae7068482069c1df397c4257bd034ef283e35fba5cd7306d511b16e9a
Homepage: https://cran.r-project.org/package=MCCM
Description: CRAN Package 'MCCM' (Mixed Correlation Coefficient Matrix)
 The IRLS (Iteratively Reweighted Least Squares) and GMM (Generalized Method
 of Moments) methods are applied to estimate mixed correlation coefficient
 matrix (Pearson, Polyseries, Polychoric), which can be estimated in pairs or
 simultaneously. For more information see Peng Zhang and Ben Liu (2024)
 <doi:10.1080/10618600.2023.2257251>; Ben Liu and Peng Zhang (2024)
 <doi:10.48550/arXiv.2404.06781>.

Package: r-cran-mccmeiv
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mccmeiv_2.1-1.ca2004.1_all.deb
Size: 301604
MD5sum: 588eae23de7b519ab726326c9643d75d
SHA1: 199d67f42c02137febdd2bded284acbea0921a63
SHA256: a34ae0d527e1fa3b70f43057e7390cd86c86094c358a09a70bd69a4878f8ed8a
SHA512: ac00c4e2e08b7b4baa476e4c6243768344e838a9ab6513973ea849bacf56f1481901ad95dcb7d6dd65185300f1096436808827d4a9bfa175bee1ad50922f0048
Homepage: https://cran.r-project.org/package=mccmeiv
Description: CRAN Package 'mccmeiv' (Analysis of Matched Case Control Data with a MismeasuredExposure that is Accompanied by Instrumental Variables)
 Applying the methodology from Manuel et al. to estimate parameters using a
 matched case control data with a mismeasured exposure variable that is
 accompanied by instrumental variables (Submitted).

Package: r-cran-mccr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mccr_0.4.4-1.ca2004.1_all.deb
Size: 9396
MD5sum: 3e01e39615285404750b2d19b9246dd4
SHA1: 953e93caf78855539f931c5b668a4d8332c604e3
SHA256: dc8eed12e39902e74c80ab461611286043c6438e9f401ce29b7cbe79244346d1
SHA512: 4dabf1661cef1ff3ef80a91b95adbba66e0aff07042d92ecdbe93872f3241b27d4d2c2eea6ccffca7c35a186213a6b3737e890562a36aab3c877778356d747c8
Homepage: https://cran.r-project.org/package=mccr
Description: CRAN Package 'mccr' (The Matthews Correlation Coefficient)
 The Matthews correlation coefficient (MCC) score is calculated (Matthews BW
 (1975) <DOI:10.1016/0005-2795(75)90109-9>).

Package: r-cran-mcda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rglpk, r-cran-glpkapi, r-cran-rcolorbrewer, r-cran-combinat, r-cran-triangle, r-cran-plyr, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcda_0.1.0-1.ca2004.1_all.deb
Size: 611896
MD5sum: ebc6320858644ee1dacbb0b786bba541
SHA1: b88f8bc7e396d1d9d53334c64952d704c6e76d24
SHA256: 889549796116e730692513dc8846599b8404121c2f92b900e6ee83d896e4954d
SHA512: 03e9ae9b151adfefb7ad176ce5f107d64defd926889ed3a5be7885e5d3b6f8dca9825bf99d7190d471755fb8ea1ce1702423bcd62954f7dd9c7b786c9b47d144
Homepage: https://cran.r-project.org/package=MCDA
Description: CRAN Package 'MCDA' (Support for the Multicriteria Decision Aiding Process)
 Support for the analyst in a Multicriteria Decision Aiding (MCDA) process
 with algorithms, preference elicitation and data visualisation functions.
 Sébastien Bigaret, Richard Hodgett, Patrick Meyer, Tatyana Mironova,
 Alexandru Olteanu (2017) Supporting the multi-criteria decision aiding
 process : R and the MCDA package, Euro Journal On Decision Processes, Volume
 5, Issue 1 - 4, pages 169 - 194 <doi:10.1007/s40070-017-0064-1>.

Package: r-cran-mcgf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-sp
Suggests: r-cran-testthat, r-cran-doparallel, r-cran-foreach, r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-dplyr, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-mcgf_1.1.1-1.ca2004.1_all.deb
Size: 890380
MD5sum: b45fb39e44f575f0926de56ec7338dd2
SHA1: 9b418bef8bfadd4ef551cd21dec12d6d7420b06e
SHA256: c236dac27dbb8076ff82c2535fc5de9f394a02d07812973a9fd0b043aa77d894
SHA512: 7d7a0bc4ba6dcc9615f2bcb77e4de611d74a3a8510cab24b78497fe482169b1b19d600becb77f7d6cc05a9d7fde080711a1c41b0faf36f7b5c72f0424ae82d69
Homepage: https://cran.r-project.org/package=mcgf
Description: CRAN Package 'mcgf' (Markov Chain Gaussian Fields Simulation and Parameter Estimation)
 Simulating and estimating (regime-switching) Markov chain Gaussian fields
 with covariance functions of the Gneiting class (Gneiting 2002)
 <doi:10.1198/016214502760047113>. It supports parameter estimation by
 weighted least squares and maximum likelihood methods, and produces Kriging
 forecasts and intervals for existing and new locations.

Package: r-cran-mcgibbsit
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 923
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcgibbsit_1.2.2-1.ca2004.1_all.deb
Size: 732484
MD5sum: b53e7be9d2a9bc9831e9b5396d862890
SHA1: 5ec7705932658f9942d0ec09a1be1dc9251eb09e
SHA256: ce862d498d277657087119e49f545d32663ff01cd15a2568418c8b9f621f8624
SHA512: 3396d20b3dbef67f1c1f61690013db56cad54c809ae525ac46e666fee1408c59f84914b1a9c4c1091955021e0871a60e3c54c5b2a38a03f749fbfa64597bdec9
Homepage: https://cran.r-project.org/package=mcgibbsit
Description: CRAN Package 'mcgibbsit' (Warnes and Raftery's 'MCGibbsit' MCMC Run Length and ConvergenceDiagnostic)
 Implementation of Warnes & Raftery's MCGibbsit run-length and convergence
 diagnostic for a set of (not-necessarily independent) Markov Chain Monte
 Carlo (MCMC) samplers.  It combines the quantile estimate error-bounding
 approach of the Raftery and Lewis MCMC run length diagnostic `gibbsit` with
 the between verses within chain approach of the Gelman and Rubin MCMC
 convergence diagnostic.

Package: r-cran-mcglobaloptim
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randtoolbox, r-cran-snow
Filename: pool/dists/focal/main/r-cran-mcglobaloptim_0.1-1.ca2004.1_all.deb
Size: 32716
MD5sum: 6e17c882157f5939d59a21512d1c9361
SHA1: 5923080fb0b16df37af5030f9395ec0b5c83e99d
SHA256: 79dc59d41c81100b055b03a521c300b5b56a2d74956ee84af66a1624a4d92fef
SHA512: 7c913d07e25a39a6e39af4e02afd787180fef4bfb0f9af2315caba267651fda7abdc7aacf562b30a83887bb955c954764bca74a3fc35b55dec081dfd595719e9
Homepage: https://cran.r-project.org/package=mcGlobaloptim
Description: CRAN Package 'mcGlobaloptim' (Global optimization using Monte Carlo and Quasi Monte Carlosimulation)
 The package performs global optimization combining Monte Carlo and Quasi
 Monte Carlo simulation with a local search. \n The local searches can be
 easily speeded-up by using a network of local workstations.

Package: r-cran-mcheatmaps
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridbase
Filename: pool/dists/focal/main/r-cran-mcheatmaps_1.0.0-1.ca2004.1_all.deb
Size: 43404
MD5sum: 610170d4dfb2034b90d1e795b899e6b8
SHA1: cc62dc0774a981a08f60dd6544127d2198da0f64
SHA256: 608a8bd91a5da98325838c833c190b587d3785a2208f110b038e7152ca7ff505
SHA512: e013ed2c33e816da591480953a17ccadcf9490e44fb510a80f01fa4f70d35f497695f5fe280534427d7e377d1fb31b3e80d03e2494ca3f281a98b6f29f218d9d
Homepage: https://cran.r-project.org/package=mcheatmaps
Description: CRAN Package 'mcheatmaps' (Multiple matrices heatmap visualization)
 mcheatmaps serves to visualize multiple different symmetric matrices and
 matrix clusters in a single figure using a dendogram, two half matrices and
 various color labels.

Package: r-cran-mchtest
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mchtest_1.0-3-1.ca2004.1_all.deb
Size: 393984
MD5sum: 6f71c1f748015e668ed3953bed850b01
SHA1: 4cd1cf47e6da86072c50abbd5592318013f72a39
SHA256: bb45c6e3448c1065d7894b30e35971de50291f954b67965bbed51e5c34f0d329
SHA512: 443e1feeaf63880034ef228fc64f951f0ff5c08bb47b8afaf1988e48dc1626519934bfbf8ffa180500bc04c3961178da14055bacdc7fd6abc5547d78c343464f
Homepage: https://cran.r-project.org/package=MChtest
Description: CRAN Package 'MChtest' (Monte Carlo Hypothesis Tests with Sequential Stopping)
 Performs Monte Carlo hypothesis tests, allowing a couple of different
 sequential stopping boundaries. For example, a truncated sequential
 probability ratio test boundary (Fay, Kim and Hachey, 2007
 <DOI:10.1198/106186007X257025>) and a boundary proposed by Besag and
 Clifford, 1991 <DOI:10.1093/biomet/78.2.301>. Gives valid p-values and
 confidence intervals on p-values.

Package: r-cran-mci
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mci_1.3.3-1.ca2004.1_all.deb
Size: 286872
MD5sum: ac55b192eb78214ee4b05dcc24071b54
SHA1: 6b965be884d33903e3106d6ecc2ea2358c16fd8d
SHA256: 803e1bb98c38dde6c02122ee1bf5f373090d8af78dbd56fe1230c68cfe89b807
SHA512: 31fc1a64535f29b690ea603c4403da9bce99699724160688bbb948f563cef97fe1ea8616737d2f9d52596f0c3b35f468a0e747c1e27175630eef0d10ca6be1cc
Homepage: https://cran.r-project.org/package=MCI
Description: CRAN Package 'MCI' (Multiplicative Competitive Interaction (MCI) Model)
 Market area models are used to analyze and predict store choices and market
 areas concerning retail and service locations. This package implements two
 market area models (Huff Model, Multiplicative Competitive Interaction
 Model) into R, while the emphases lie on 1.) fitting these models based on
 empirical data via OLS regression and nonlinear techniques and 2.) data
 preparation and processing (esp. interaction matrices and data preparation
 for the MCI Model).

Package: r-cran-mcid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcid_0.1.0-1.ca2004.1_all.deb
Size: 51856
MD5sum: d0a5b770424c2ed4d36a6fe705ebb15f
SHA1: f9d8da86ca6729d065626a167c4ef4c500b332d7
SHA256: a202a5be55daff1f2b43aad6a5496e65c4ecd70e66ada3d8caed46cd43616538
SHA512: ea44ef91ad09b71a742db4735c5d2922eff45fd988d2ddd36e1e0f904010619ce36a2d4e6db33bec0044b0c712b672dd0e10e3bd0b00533d5eed14827ff1e8cf
Homepage: https://cran.r-project.org/package=MCID
Description: CRAN Package 'MCID' (Estimating the Minimal Clinically Important Difference)
 Apply the marginal classification method to achieve the purpose of providing
 the point and interval estimates for the minimal clinically important
 difference based on the classical anchor-based method. For more details of
 the methodology, please see Zehua Zhou, Leslie J. Bisson and Jiwei Zhao
 (2021) <arXiv:2108.11589>.

Package: r-cran-mcl
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-expm
Filename: pool/dists/focal/main/r-cran-mcl_1.0-1.ca2004.1_all.deb
Size: 18868
MD5sum: 1c6b345aee61fed3c73c96b08a8dd41f
SHA1: 6b008bcba7f5befed2fe9598f8f7d009c7cc9b76
SHA256: e4a23b0be5c0dd0949d5632967c69b83d409ece372ae1379ec60ccb033428d6a
SHA512: a0ad2575b9178dc6ae116f4d2f8f439e48232f26575314df2b6c9629c830454366c978081deeab9ff63cdfd7f6929213c541c2ec4b6ab545a19dff43ac3f894f
Homepage: https://cran.r-project.org/package=MCL
Description: CRAN Package 'MCL' (Markov Cluster Algorithm)
 Contains the Markov cluster algorithm (MCL) for identifying clusters in
 networks and graphs. The algorithm simulates random walks on a (n x n)
 matrix as the adjacency matrix of a graph. It alternates an expansion step
 and an inflation step until an equilibrium state is reached.

Package: r-cran-mclcar
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 677
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spam, r-cran-rsm, r-cran-fields, r-cran-maxlik, r-cran-nleqslv, r-cran-spdep, r-cran-spatialreg
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mclcar_0.2-0-1.ca2004.1_all.deb
Size: 600524
MD5sum: 000ae1e9a4c7ee647542a29f8d21cd88
SHA1: 05dce5dc2dea65d87b63f2a83aa17e18901b2a8a
SHA256: a432ccafc984409ab11aa7f23b8f850207d2f40839ec92fba1f0bdb13894dd1f
SHA512: 573eb1bc825810d4306ac87d6269f3fba90288fa5d17cfded03701f743d42c1b4997ab3b662b6cacf855f7ded7b0ff4c3b6ad99a727909f70e7956140c649ddd
Homepage: https://cran.r-project.org/package=mclcar
Description: CRAN Package 'mclcar' (Estimating Conditional Auto-Regressive (CAR) Models using MonteCarlo Likelihood Methods)
 The likelihood of direct CAR models and Binomial and Poisson GLM with latent
 CAR variables are approximated by the Monte Carlo likelihood. The Maximum
 Monte Carlo likelihood estimator is found either by an iterative procedure
 of directly maximising the Monte Carlo approximation or by a response
 surface design method.Reference for the method can be found in the DPhil
 thesis in Z. Sha (2016). For application a good reference is R.Bivand et.al
 (2017) <doi:10.1016/j.spasta.2017.01.002>.

Package: r-cran-mcll
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod, r-cran-locfit
Filename: pool/dists/focal/main/r-cran-mcll_1.2-1.ca2004.1_all.deb
Size: 96000
MD5sum: 1e9c53271267a6eab8705bf05d361e6a
SHA1: cc8d1d4ce12bb80ddbd127c1c517d828a68a6903
SHA256: 930e4cbc91db3c2295d8d81da64be3e6666c072b6c2bccb8aa3d588ddadfa670
SHA512: 5a00f37f110008ea43ddcd3f41fbea106aecb37277f7de9bdbd07855254fc5294adb41bc353bc459b26b453c431aba7a8e51685c67270a5de0a2148e9c2cc324
Homepage: https://cran.r-project.org/package=mcll
Description: CRAN Package 'mcll' (Monte Carlo Local Likelihood Estimation)
 Maximum likelihood estimation using a Monte Carlo local likelihood (MCLL)
 method

Package: r-cran-mclogit
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-memisc
Suggests: r-cran-mass, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-mclogit_0.9.6-1.ca2004.1_all.deb
Size: 275428
MD5sum: 3f200bdc0d7c3744363f8288d1f51c04
SHA1: c4152d93b6423de2a4e8450a047e61f499e847e9
SHA256: fe35ef7f6d0cd615492593b55d43a7adc216b85f1ee9b4809d9b718b93619f4f
SHA512: 7cfeb0bc8ff43aeaeeb846b319074bfc1009803bafb7c3bceb8f01119617441e3b63e2f6416926e9cf0dbd24485c189c8c10662f1c7046a6c2bcc5a741192c7d
Homepage: https://cran.r-project.org/package=mclogit
Description: CRAN Package 'mclogit' (Multinomial Logit Models, with or without Random Effects orOverdispersion)
 Provides estimators for multinomial logit models in their conditional logit
 and baseline logit variants, with or without random effects, with or without
 overdispersion.  Random effects models are estimated using the PQL technique
 (based on a Laplace approximation) or the MQL technique (based on a
 Solomon-Cox approximation). Estimates should be treated with caution if the
 group sizes are small.

Package: r-cran-mcm
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1302
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survey, r-cran-gee, r-cran-dplyr, r-cran-lme4, r-cran-stringr, r-cran-parameters
Filename: pool/dists/focal/main/r-cran-mcm_0.1.7-1.ca2004.1_all.deb
Size: 1259912
MD5sum: 7a16c6d2a93c41a40bdf6ea57ba43a68
SHA1: 995830109b9a8da200c1267f0089191fb76c1b58
SHA256: e1569b7630531d260f0db691caafa29885809e1f1bc7b4562c7f6e4a3063ae9d
SHA512: a9092da9718407e6a6a4add38eae0908fafd4f6206563b78998f18245577305e94611143b865c3598122b616820c5f27a951602e7b9c721734a5c42d5a7cd6cc
Homepage: https://cran.r-project.org/package=MCM
Description: CRAN Package 'MCM' (Estimating and Testing Intergenerational Social Mobility Effect)
 Estimate and test inter-generational social mobility effect on an outcome
 with cross-sectional or longitudinal data.

Package: r-cran-mcmapper
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcmapper_0.0.11-1.ca2004.1_all.deb
Size: 63144
MD5sum: 513c3fbf793e5b2f508fcf608e92ad12
SHA1: c2fd12403dfaaf4eeff8477e2b8927d55b90ea22
SHA256: b2536f7857014c693f7ba9a4c9b4e64bd168887708bdf6db302b21dc1d0f951e
SHA512: 9645fe71fe1f5519f006e0be0af732ac2c4a2857f4fd48cec4a22923ffa55eac82f15dd643d5f613bbfc9c6439ee8151fe2cf3dfa7add29a50f0dc2f75ea5632
Homepage: https://cran.r-project.org/package=mcmapper
Description: CRAN Package 'mcmapper' (Mapping First Moment and C-Statistic to the Parameters ofDistributions for Risk)
 Provides a series of numerical methods for extracting parameters of
 distributions for risks based on knowing the expected value and c-statistics
 (e.g., from a published report on the performance of a risk prediction
 model). This package implements the methodology described in Sadatsafavi et
 al (2024) <doi:10.48550/arXiv.2409.09178>. The core of the package is
 mcmap(), which takes a pair of (mean, c-statistic) and the distribution type
 requested. This function provides a generic interface to more customized
 functions (mcmap_beta(), mcmap_logitnorm(), mcmap_probitnorm()) for specific
 distributions.

Package: r-cran-mcmc.otu
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcglmm, r-cran-ggplot2, r-cran-coda
Filename: pool/dists/focal/main/r-cran-mcmc.otu_1.0.10-1.ca2004.1_all.deb
Size: 92448
MD5sum: 9d31ea5f363e53ef04eb0a23dd05faeb
SHA1: afad4c1bd75c65991ee31e6b37bfb7c51ff4d7cb
SHA256: 66d26abedf7603169c4bc8fc237b723ca25f5f930ba64e8c4e993380d90768a6
SHA512: e107d98e77b2fd5ee5c7ab411b46b5991c9e02ec1a3e88972ae971aafc9119637b6ab5f1b0e033176e6ebcadeddafaee647adf9f8d786dac7425437234d767c6
Homepage: https://cran.r-project.org/package=MCMC.OTU
Description: CRAN Package 'MCMC.OTU' (Bayesian Analysis of Multivariate Counts Data in DNAMetabarcoding and Ecology)
 Poisson-lognormal generalized linear mixed model analysis of multivariate
 counts data using MCMC, aiming to infer the changes in relative proportions
 of individual variables. The package was originally designed for
 sequence-based analysis of microbial communities ("metabarcoding", variables
 = operational taxonomic units, OTUs), but can be used for other types of
 multivariate counts, such as in ecological applications (variables =
 species). The results are summarized and plotted using 'ggplot2' functions.
 Includes functions to remove sample and variable outliers and reformat
 counts into normalized log-transformed values for correlation and principal
 component/coordinate analysis. Walkthrough and examples:
 http://www.bio.utexas.edu/research/matz_lab/matzlab/Methods_files/walkthroughExample_mcmcOTU_R.txt.

Package: r-cran-mcmc.qpcr
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcglmm, r-cran-ggplot2, r-cran-coda
Filename: pool/dists/focal/main/r-cran-mcmc.qpcr_1.2.4-1.ca2004.1_all.deb
Size: 177544
MD5sum: 7f16b01d5faeb4461b43cca1eac01b27
SHA1: bc514c36975aa20623cee011e56201be6e2c6fd1
SHA256: 8438f1a7036131be6d18993b772ecfe21f33655537868ca4f37bdee5b12f7f26
SHA512: 17ffd5eae11f926bce0496f05b3153e7c61288ee372ffadcc434c696090efa07faab2886706455f4be98b2f9cf935ef11f62e64ba9c441ead906868e2d26328b
Homepage: https://cran.r-project.org/package=MCMC.qpcr
Description: CRAN Package 'MCMC.qpcr' (Bayesian Analysis of qRT-PCR Data)
 Quantitative RT-PCR data are analyzed using generalized linear mixed models
 based on lognormal-Poisson error distribution, fitted using MCMC. Control
 genes are not required but can be incorporated as Bayesian priors or, when
 template abundances correlate with conditions, as trackers of global effects
 (common to all genes). The package also implements a lognormal model for
 higher-abundance data and a "classic" model involving multi-gene
 normalization on a by-sample basis. Several plotting functions are included
 to extract and visualize results. The detailed tutorial is available here:
 <https://matzlab.weebly.com/uploads/7/6/2/2/76229469/mcmc.qpcr.tutorial.v1.2.4.pdf>.

Package: r-cran-mcmc4extremes
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evir
Filename: pool/dists/focal/main/r-cran-mcmc4extremes_1.1-1.ca2004.1_all.deb
Size: 145632
MD5sum: 44e42c2b0bb4619e45479abbbed6ab17
SHA1: c2ccb1ec44f3866f77df6a40946db2da24af747c
SHA256: 5788ede864518c4b9ee202b075fc128e55752be24ca4d10254375051a65e4aea
SHA512: a8a599c8aba4ce7c59ef66d1168f0307e83a0cc39f1ab000e380998983ed79a97cf6c3923d074213690170cc7d361ea27678fdbaf93a86bc84bf5edcbabd0755
Homepage: https://cran.r-project.org/package=MCMC4Extremes
Description: CRAN Package 'MCMC4Extremes' (Posterior Distribution of Extreme Value Models in R)
 Provides some function to perform posterior estimation for some
 distribution, with emphasis to extreme value distributions. It contains some
 extreme datasets, and functions that perform the runs of posterior points of
 the GPD and GEV distribution. The package calculate some important extreme
 measures like return level for each t periods of time, and some plots as the
 predictive distribution, and return level plots.

Package: r-cran-mcmcabn
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abn, r-cran-coda, r-cran-grbase, r-cran-ggplot2, r-cran-cowplot, r-cran-ggpubr
Suggests: r-cran-bnlearn, r-cran-knitr, r-cran-rmarkdown, r-cran-ggdag, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcmcabn_0.6-1.ca2004.1_all.deb
Size: 219232
MD5sum: d41b8bdf73caec71299f6cb740894a68
SHA1: ef73458a27859ba9d70d470050eb9ab4405dac81
SHA256: 1b88fe380004d1380271ffb1ec18ed4b566dff2f77851a49592ac71c88c0641f
SHA512: 072164d407d7af58238a0e0df21ce10446bbd0d7bb49493efcf2b066629f4722077e7daf0827fbce7a101d9e263cd22e16e7814f8d3b6040e69e98ffcf1994a1
Homepage: https://cran.r-project.org/package=mcmcabn
Description: CRAN Package 'mcmcabn' (Flexible Implementation of a Structural MCMC Sampler for DAGs)
 Flexible implementation of a structural MCMC sampler for Directed Acyclic
 Graphs (DAGs). It supports the new edge reversal move from Grzegorczyk and
 Husmeier (2008) <doi:10.1007/s10994-008-5057-7> and the Markov blanket
 resampling from Su and Borsuk (2016)
 <https://jmlr.org/papers/v17/su16a.html>. It supports three priors: a prior
 controlling for structure complexity from Koivisto and Sood (2004)
 <https://www.jmlr.org/papers/v5/koivisto04a.html>, an uninformative prior
 and a user-defined prior. The three main problems that can be addressed by
 this R package are selecting the most probable structure based on a cache of
 pre-computed scores, controlling for overfitting, and sampling the landscape
 of high scoring structures. It allows us to quantify the marginal impact of
 relationships of interest by marginalizing out over structures or nuisance
 dependencies. Structural MCMC seems an elegant and natural way to estimate
 the true marginal impact, so one can determine if it's magnitude is big
 enough to consider as a worthwhile intervention.

Package: r-cran-mcmcderive
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-chk, r-cran-extras, r-cran-mcmcr, r-cran-nlist, r-cran-purrr, r-cran-universals
Suggests: r-cran-coda, r-cran-covr, r-cran-doparallel, r-cran-plyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcmcderive_0.1.2-1.ca2004.1_all.deb
Size: 31780
MD5sum: 7d7c504719d54515b011b70d552123b9
SHA1: 6ede10d0488c11ef8b054ac0cd2511677f3bb63c
SHA256: 480367b0249a0b1fb0ec522cc459673ee51aaee9b3037a304be943b23ff1790c
SHA512: b4e99236b0b08ef6b13e0919532e972d0d5097cbd4e0f1d010e21ca808de64441d4f5ebac6a7a5a6e992e62be387e8fb684170321fc3ee697c826254266baeec
Homepage: https://cran.r-project.org/package=mcmcderive
Description: CRAN Package 'mcmcderive' (Derive MCMC Parameters)
 Generates derived parameter(s) from Monte Carlo Markov Chain (MCMC) samples
 using R code. This allows Bayesian models to be fitted without the inclusion
 of derived parameters which add unnecessary clutter and slow model fitting.
 For more information on MCMC samples see Brooks et al. (2011)
 <isbn:978-1-4200-7941-8>.

Package: r-cran-mcmcensemble
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1058
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-future.apply, r-cran-progressr
Suggests: r-cran-bayesplot, r-cran-coda, r-cran-mockery, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcmcensemble_3.1.0-1.ca2004.1_all.deb
Size: 222936
MD5sum: a383aa2639916c1c33ef0be13ee031ed
SHA1: 4895b5e8a54bf59198ffdc48b4c11b2dbd0a4bd4
SHA256: 538f9ad5890c3aa90a0f4c28cecfd0b2d5831519b564cccfe013a01971b6297c
SHA512: ca9486d878669383d092963b6ac5895977a9829a082870d26c317aab7bb6d450939f3a5ec965fe45d7edd28c70ea5f044a358d1996300c2b4967209749547e68
Homepage: https://cran.r-project.org/package=mcmcensemble
Description: CRAN Package 'mcmcensemble' (Ensemble Sampler for Affine-Invariant MCMC)
 Provides ensemble samplers for affine-invariant Monte Carlo Markov Chain,
 which allow a faster convergence for badly scaled estimation problems. Two
 samplers are proposed: the 'differential.evolution' sampler from ter Braak
 and Vrugt (2008) <doi:10.1007/s11222-008-9104-9> and the 'stretch' sampler
 from Goodman and Weare (2010) <doi:10.2140/camcos.2010.5.65>.

Package: r-cran-mcmcoutput
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hdinterval, r-cran-coda, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mcmcoutput_0.1.3-1.ca2004.1_all.deb
Size: 286796
MD5sum: c2800e4dc60e5137867c1741a442b29f
SHA1: 6906b05cc539bfdce441439d2994f39e995acc60
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Homepage: https://cran.r-project.org/package=mcmcOutput
Description: CRAN Package 'mcmcOutput' (Functions to Store, Manipulate and Display Markov Chain MonteCarlo (MCMC) Output)
 Implements a class ('mcmcOutput') for efficiently storing and handling
 Markov chain Monte Carlo (MCMC) output, intended as an aid for those writing
 customized MCMC samplers. A range of constructor methods are provided
 covering common output formats. Functions are provided to generate summary
 and diagnostic statistics and to display histograms or density plots of
 posterior distributions, for the entire output, or subsets of draws, nodes,
 or parameters.

Package: r-cran-mcmcplots
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-sfsmisc, r-cran-colorspace, r-cran-denstrip
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Size: 140944
MD5sum: 5e8bca17a4b43799369088b19c5cdf21
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SHA256: 8c9f7f5812f8d03d725f37076d285738d40b883c7db84d8e0c64dc9a456a8224
SHA512: 872c29d54f50336e292f4202489875455979f2d7a0dc5e9d2e2e7a7b88124814277e3074091790756407b698d6b16a01626df082aec7506090447f8c68bb5a41
Homepage: https://cran.r-project.org/package=mcmcplots
Description: CRAN Package 'mcmcplots' (Create Plots from MCMC Output)
 Functions for convenient plotting and viewing of MCMC output.

Package: r-cran-mcmcr
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1152
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-chk, r-cran-coda, r-cran-extras, r-cran-generics, r-cran-lifecycle, r-cran-nlist, r-cran-purrr, r-cran-term, r-cran-tibble, r-cran-universals
Suggests: r-cran-covr, r-cran-rlang, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mcmcr_0.6.2-1.ca2004.1_all.deb
Size: 610180
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SHA256: d9484f2d7a957659c8cab25e5e85f813b3391e1cc41fd72ef5fdd8e3d3c6a456
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Homepage: https://cran.r-project.org/package=mcmcr
Description: CRAN Package 'mcmcr' (Manipulate MCMC Samples)
 Functions and classes to store, manipulate and summarise Monte Carlo Markov
 Chain (MCMC) samples. For more information see Brooks et al. (2011)
 <isbn:978-1-4200-7941-8>.

Package: r-cran-mcmctreer
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-sn, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcmctreer_1.1-1.ca2004.1_all.deb
Size: 4319692
MD5sum: 9fb2ca00049efaf87014df6bc9ec7a77
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SHA256: 73a50d177df9024f4e34b3985840bcc880955f4c2a502406a2ea86c78f0e1a12
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Homepage: https://cran.r-project.org/package=MCMCtreeR
Description: CRAN Package 'MCMCtreeR' (Prepare MCMCtree Analyses and Plot Bayesian Divergence TimeAnalyses Estimates on Trees)
 Provides functions to prepare time priors for 'MCMCtree' analyses in the
 'PAML' software from Yang (2007)<doi:10.1093/molbev/msm088> and plot
 time-scaled phylogenies from any Bayesian divergence time analysis. Most
 time-calibrated node prior distributions require user-specified parameters.
 The package provides functions to refine these parameters, so that the
 resulting prior distributions accurately reflect confidence in known,
 usually fossil, time information. These functions also enable users to
 visualise distributions and write 'MCMCtree' ready input files.
 Additionally, the package supplies flexible functions to visualise age
 uncertainty on a plotted tree with using node bars, using branch widths
 proportional to the age uncertainty, or by plotting the full posterior
 distributions on nodes. Time-scaled phylogenetic plots can be visualised
 with absolute and geological timescales . All plotting functions are
 applicable with output from any Bayesian software, not just 'MCMCtree'.

Package: r-cran-mcmcvis
Architecture: all
Version: 0.16.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3581
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-rstan, r-cran-overlapping, r-cran-colorspace
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-posterior
Filename: pool/dists/focal/main/r-cran-mcmcvis_0.16.3-1.ca2004.1_all.deb
Size: 3102496
MD5sum: 89802eed71444deaeea9e6c35979d79c
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Homepage: https://cran.r-project.org/package=MCMCvis
Description: CRAN Package 'MCMCvis' (Tools to Visualize, Manipulate, and Summarize MCMC Output)
 Performs key functions for MCMC analysis using minimal code - visualizes,
 manipulates, and summarizes MCMC output. Functions support simple and
 straightforward subsetting of model parameters within the calls, and produce
 presentable and 'publication-ready' output. MCMC output may be derived from
 Bayesian model output fit with 'Stan', 'NIMBLE', 'JAGS', and other software.

Package: r-cran-mcmst
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Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bbmisc, r-cran-ecr, r-cran-grapherator, r-cran-checkmate, r-cran-gtools, r-cran-ggplot2, r-cran-vegan, r-cran-qgraph, r-cran-viridis, r-cran-igraph
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-mcmst_1.1.1-1.ca2004.1_all.deb
Size: 247316
MD5sum: 902680bbdc953ff1745545ec7df24125
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SHA256: 6a056b86bb87554f362519e58035c7208cffae5d51059b1670eaceacad198032
SHA512: bb67194053c63644407a09c416042f6a45151ceb80d2d5a89aeed905ede0c5923bb1f8681f77898eb005f1623bffbc19a769fdbc39724176bb95ed877c7b08b4
Homepage: https://cran.r-project.org/package=mcMST
Description: CRAN Package 'mcMST' (A Toolbox for the Multi-Criteria Minimum Spanning Tree Problem)
 Algorithms to approximate the Pareto-front of multi-criteria minimum
 spanning tree problems.

Package: r-cran-mcmsupply
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1050
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r2jags, r-cran-magrittr, r-cran-foreach, r-cran-tidyverse, r-cran-tidybayes, r-cran-runjags, r-cran-rlang, r-cran-abind, r-cran-dplyr, r-cran-ggplot2, r-cran-plyr, r-cran-readxl, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcmsupply_1.1.1-1.ca2004.1_all.deb
Size: 718904
MD5sum: 929e590e3b62e0ee00bacc5f2919c925
SHA1: 151417b1597550eb8ff5bdc12cd0cbd075c3a326
SHA256: 9cb88a406eb48cac9830c842e0c9c171aba8007c0bdb953475117a4766b07299
SHA512: 94a1e2b18f6ac97858cf12fe5d7132a8d64b28cda3909a35c2e2f5914c8f8d8e1688d427f5da85d0a9fd0df58d1f6b820deb1be3f13d1dd3f829d8fd7367f626
Homepage: https://cran.r-project.org/package=mcmsupply
Description: CRAN Package 'mcmsupply' (Estimating Public and Private Sector Contraceptive Market SupplyShares)
 Family Planning programs and initiatives typically use nationally
 representative surveys to estimate key indicators of a country’s family
 planning progress. However, in recent years, routinely collected family
 planning services data (Service Statistics) have been used as a
 supplementary data source to bridge gaps in the surveys. The use of service
 statistics comes with the caveat that adjustments need to be made for
 missing private sector contributions to the contraceptive method supply
 chain. Evaluating the supply source of modern contraceptives often relies on
 Demographic Health Surveys (DHS), where many countries do not have recent
 data beyond 2015/16. Fortunately, in the absence of recent surveys we can
 rely on statistical model-based estimates and projections to fill the
 knowledge gap. We present a Bayesian, hierarchical, penalized-spline model
 with multivariate-normal spline coefficients, to account for across method
 correlations, to produce country-specific,annual estimates for the
 proportion of modern contraceptive methods coming from the public and
 private sectors. This package provides a quick and convenient way for users
 to access the DHS modern contraceptive supply share data at national and
 subnational administration levels, estimate, evaluate and plot annual
 estimates with uncertainty for a sample of low- and middle-income countries.
 Methods for the estimation of method supply shares at the national level are
 described in Comiskey, Alkema, Cahill (2022) <arXiv:2212.03844>.

Package: r-cran-mcode
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcode_1.1-1.ca2004.1_all.deb
Size: 22232
MD5sum: 60cadfd99455bdd20f389e9dda53a631
SHA1: aceb20388c6ff745bd6fa75eb9935fea3ad3a8b7
SHA256: a3098c20e0fd2b26d84db2edba95a69e322244ff45674f6179f9d39ece946a73
SHA512: f9f18a44fbdf2e6d0729f0801254a797c0560324de47287fa7553aa7a2f4360b849166802e3954434f539ce7db7c345c0b5c0f1a8718ef590d4fa7f30c236b70
Homepage: https://cran.r-project.org/package=mcODE
Description: CRAN Package 'mcODE' (Monte Carlo Solution of First Order Differential Equations)
 Two functions for simulating the solution of initial value problems of the
 form g'(x) = G(x, g) with g(x0) = g0.  One is an acceptance-rejection
 method. The other is a method based on the Mean Value Theorem.

Package: r-cran-mcoe
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3209
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggthemes, r-cran-googlesheets4, r-cran-keyring, r-cran-magick, r-cran-odbc, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcoe_0.4.0-1.ca2004.1_all.deb
Size: 2409604
MD5sum: b8a2911794a76ffdf9151b8d9b2a520d
SHA1: c3c47071002600d5a0364d85dc7b71269e01d584
SHA256: 659cc8df69fc35e539819b99a3f051a1913bd10d6937bb947c8af745bf9e68c9
SHA512: 2ae858f7f8e428335a4d18964fbeb36f224908c3ef20d352bc1b8404408876da2d8d212c7aaac2d3f7b932df6802c05ff4391954e979067b2568fc70069d9ed1
Homepage: https://cran.r-project.org/package=MCOE
Description: CRAN Package 'MCOE' (Creates New Folders and Loads Standard Practices for MontereyCounty Office of Education)
 Basic Setup for Projects in R for Monterey County Office of Education. It
 contains functions often used in the analysis of education data in the
 county office including seeing if an item is not in a list, rounding in the
 manner the general public expects, including logos for districts, switching
 between district names and their county-district-school codes, accessing the
 local 'SQL' table and making thematically consistent graphs.

Package: r-cran-mcomp
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4036
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mcomp_2.8-1.ca2004.1_all.deb
Size: 3819504
MD5sum: a79439e65c6f2e8cb582def15aa42f04
SHA1: 27ca37a31280500deb28098a1b23a1145352c0a4
SHA256: 77c0fa1524cd9581b9cf98a5864e4ac09b972c160902377c732361a8578a52e4
SHA512: e6b2f1ee7c3c0dbb02453e8135a33279a92cecde52b3aee93fa90cf9ac670ac03202becee9c82659ec729a83e2ebdd8bbe9bf13e435251397212fda7ec3efbd7
Homepage: https://cran.r-project.org/package=Mcomp
Description: CRAN Package 'Mcomp' (Data from the M-Competitions)
 The 1001 time series from the M-competition (Makridakis et al. 1982)
 <DOI:10.1002/for.3980010202> and the 3003 time series from the IJF-M3
 competition (Makridakis and Hibon, 2000)
 <DOI:10.1016/S0169-2070(00)00057-1>.

Package: r-cran-mcompanion
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 752
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-gbutils, r-cran-mass, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-lagged
Filename: pool/dists/focal/main/r-cran-mcompanion_0.6-1.ca2004.1_all.deb
Size: 546504
MD5sum: e1c0f307e160796dad8684fc7ef677fa
SHA1: 9232b931a5877b28f43b424eb4d0d999d5774f5d
SHA256: 16c7a8904ac36c2d0ad295794b22464fafdcf8521f9390eb129cc71a22d62a36
SHA512: 283e7ba2667532b14f23bcd341c4a25c491d01f8450792c0008e83e3244d0e0147fbacc1d0a7f2d7895a0be43c70a80f0176db445b72d69f67936f1fcd86044c
Homepage: https://cran.r-project.org/package=mcompanion
Description: CRAN Package 'mcompanion' (Objects and Methods for Multi-Companion Matrices)
 Provides a class for multi-companion matrices with methods for arithmetic
 and factorization.  A method for generation of multi-companion matrices with
 prespecified spectral properties is provided, as well as some utilities for
 periodically correlated and multivariate time series models. See Boshnakov
 (2002) <doi:10.1016/S0024-3795(01)00475-X> and Boshnakov & Iqelan (2009)
 <doi:10.1111/j.1467-9892.2009.00617.x>.

Package: r-cran-mconjoint
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mconjoint_0.1-1.ca2004.1_all.deb
Size: 282080
MD5sum: dbb9309beff321b25515ce71edd2d999
SHA1: bbd13a0cee828375ec9db8c6044e205a9a14c6b7
SHA256: 2cb47c9ad83ec8d3084b791f32c350c9ee8ed0bd9da9727615f9b63cf76db5af
SHA512: 16bc9bd1727516264c836f93defcfeb5f81405364b3b10a380c6f6fa83704ca6bbf58cca728cb883bac2962a9500de2d4c321f5d8ad5e190dc4f2a2561467eea
Homepage: https://cran.r-project.org/package=MConjoint
Description: CRAN Package 'MConjoint' (Conjoint Analysis through Averaging of Multiple Analyses)
 The package aids in creating a Conjoint Analysis design with extra cards.
 Unlike traditional "holdout" cards these cards are used to create a set of
 "good" (balanced and low correlation) designs. Each of these designs is
 analyzed and the average calculated.

Package: r-cran-mcount
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmle
Filename: pool/dists/focal/main/r-cran-mcount_1.0.0-1.ca2004.1_all.deb
Size: 16976
MD5sum: 79623ec5a3fb175883ff0572213f3c55
SHA1: 214eb1718a2d5f226d078c80a7949baa4cd742fb
SHA256: 4fe27efca88286a16029751fb3f24d3c679e195fbf6835974ea772b073906cdd
SHA512: a26326b0ebf831512b7aa4b7ffbeacba3bff680b773ee6521acf4864d6aaf1b959ab3384bf7dcf5e326bba1d59ea7729dfc957848dcb7a0a55feb5dd5461f15e
Homepage: https://cran.r-project.org/package=mcount
Description: CRAN Package 'mcount' (Marginalized Count Regression Models)
 Implementation of marginalized models for zero-inflated count data. This
 package provides a tool to implement an estimation algorithm for the
 marginalized count models, which directly makes inference on the effect of
 each covariate on the marginal mean of the outcome.  The method involves the
 marginalized zero-inflated Poisson model described in Long et al. (2014)
 <doi:10.1002/sim.6293>.

Package: r-cran-mcp
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 780
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-future, r-cran-future.apply, r-cran-rjags, r-cran-coda, r-cran-loo, r-cran-bayesplot, r-cran-tidybayes, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-tidyselect, r-cran-tibble, r-cran-stringr, r-cran-ggplot2, r-cran-patchwork, r-cran-rlang
Suggests: r-cran-hexbin, r-cran-testthat, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcp_0.3.4-1.ca2004.1_all.deb
Size: 748600
MD5sum: b3c07eea9e9b1d931ad3882bae76c70e
SHA1: 923f8bdbf54fe14d4d037451304ec779a7132ab1
SHA256: 1b78351880356aab7b0ec4d431d94b811acdde868ccf4bea41293187bbc6fae6
SHA512: 772d6b7f88256cf6fb0b947a6015a0569c4dfdc1ca04df6fcbe7fd28cf0a0a7b7080c2d35020a8226488e7899be470ea968dd6070bfacc88099704fabb744bba
Homepage: https://cran.r-project.org/package=mcp
Description: CRAN Package 'mcp' (Regression with Multiple Change Points)
 Flexible and informed regression with Multiple Change Points. 'mcp' can
 infer change points in means, variances, autocorrelation structure, and any
 combination of these, as well as the parameters of the segments in between.
 All parameters are estimated with uncertainty and prediction intervals are
 supported - also near the change points. 'mcp' supports hypothesis testing
 via Savage-Dickey density ratio, posterior contrasts, and cross-validation.
 'mcp' is described in Lindeløv (submitted) <doi:10.31219/osf.io/fzqxv> and
 generalizes the approach described in Carlin, Gelfand, & Smith (1992)
 <doi:10.2307/2347570> and Stephens (1994) <doi:10.2307/2986119>.

Package: r-cran-mcpan
Architecture: all
Version: 1.1-21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-multcomp, r-cran-magic, r-cran-mcmcpack, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-mcpan_1.1-21-1.ca2004.1_all.deb
Size: 359316
MD5sum: 80f852bc7a03ef64b4885c3e6f2a1849
SHA1: 915bdbfc273de1578a882fc188719dc85f8c57bb
SHA256: 365218f3797ec213d6728ca68e504f383f60825e2368fbed5a1aee6404672df2
SHA512: 740a2ee3473fad6f30b0e7d8117f700a73d06a0990f6274054be192901688398cf4bfdd2c3f8f77e49a61a0a7dde5fcd8e4ea46f79002f2673981df906c848b2
Homepage: https://cran.r-project.org/package=MCPAN
Description: CRAN Package 'MCPAN' (Multiple Comparisons Using Normal Approximation)
 Multiple contrast tests and simultaneous confidence intervals based on
 normal approximation. With implementations for binomial proportions in a 2xk
 setting (risk difference and odds ratio), poly-3-adjusted tumour rates,
 biodiversity indices (multinomial data) and expected values under lognormal
 assumption. Approximative power calculation for multiple contrast tests of
 binomial and Gaussian data.

Package: r-cran-mcparalleldo
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils, r-cran-checkmate, r-cran-r6
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mcparalleldo_1.1.0-1.ca2004.1_all.deb
Size: 77476
MD5sum: 46b1a1ba4b4f87b108b0aa84da3dd0f2
SHA1: 559296b66045f714360f5557f2c6eebed0b9daed
SHA256: c99bb3fadce56e6ba49af6acfbed734995a65f3af4574dedf49900151521b49c
SHA512: 422ccd6f91819d218f45ec7e96139af9dfe8e34e49f972cd35863024ecc3d111c75fc3e43f7105fe45c28c3f89a60971081181d1ff1af33b91171d262dd03646
Homepage: https://cran.r-project.org/package=mcparallelDo
Description: CRAN Package 'mcparallelDo' (A Simplified Interface for Running Commands on ParallelProcesses)
 Provides a function that wraps mcparallel() and mccollect() from 'parallel'
 with temporary variables and a task handler.  Wrapped in this way the
 results of an mcparallel() call can be returned to the R session when the
 fork is complete without explicitly issuing a specific mccollect() to
 retrieve the value.  Outside of top-level tasks, multiple mcparallel() jobs
 can be retrieved with a single call to mcparallelDoCheck().

Package: r-cran-mcpmod
Architecture: all
Version: 1.0-10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mcpmod_1.0-10.1-1.ca2004.1_all.deb
Size: 505264
MD5sum: 9aa08c5ddc16b905e00dcfe782b70ae7
SHA1: 9ce531af833174cab0e38b1aa1add2523b566519
SHA256: a7d7496c07a7098bdfe6aa7fcf995f7e4d849be8bd5d6268d4dbd9270e53178e
SHA512: a2cf1f8be5ed7037c0f2103ff8d8adbf91e2cc38b0b7cf6fd3c2926aadb70af2bbf8dea90e3cd4cbfaba417d5727df9f494f846b3b349afb33f537dcded4e416
Homepage: https://cran.r-project.org/package=MCPMod
Description: CRAN Package 'MCPMod' (Design and Analysis of Dose-Finding Studies)
 Implements a methodology for the design and analysis of dose-response
 studies that combines aspects of multiple comparison procedures and modeling
 approaches (Bretz, Pinheiro and Branson, 2005, Biometrics 61, 738-748, <doi:
 10.1111/j.1541-0420.2005.00344.x>).  The package provides tools for the
 analysis of dose finding trials as well as a variety of tools necessary to
 plan a trial to be conducted with the MCP-Mod methodology.  Please note: The
 'MCPMod' package will not be further developed, all future development of
 the MCP-Mod methodology will be done in the 'DoseFinding' R-package.

Package: r-cran-mcpmodbc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dorng, r-cran-survival, r-cran-doparallel, r-cran-nleqslv, r-cran-foreach, r-cran-dosefinding, r-cran-dplyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-mcpmodbc_1.1-1.ca2004.1_all.deb
Size: 75712
MD5sum: 9a89cfa119cf6b5ef7dace0d6421b707
SHA1: 53db0b6bda5fe08aa635491f9d322ae0d504e7d3
SHA256: e8d92aa6cf29e522fddf77bb2e5e267e86c2c9d9cf20731e76d4a71a26784bbc
SHA512: 89e7e6f28474645b106e5fc8a5511895fb9e3473da2ee97005291b9d10ddb607dbb98679f37121817be468fe42747e8d1e4422e1de0abbbdd0103f24fe9c5e8e
Homepage: https://cran.r-project.org/package=MCPModBC
Description: CRAN Package 'MCPModBC' (Improved Inference in Multiple Comparison Procedure – Modelling)
 Implementation of Multiple Comparison Procedures with Modeling (MCP-Mod)
 procedure with bias-corrected estimators and second-order covariance
 matrices as described in Diniz, Gallardo and Magalhaes (2023)
 <doi:10.1002/pst.2303>.

Package: r-cran-mcpmodgeneral
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dosefinding, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-survival
Filename: pool/dists/focal/main/r-cran-mcpmodgeneral_0.1-3-1.ca2004.1_all.deb
Size: 236244
MD5sum: 079c3fc1913f5248a07a304c059370bf
SHA1: 05d8c1dd6d47838183e34d923fc3260a6fc36515
SHA256: c2f0924486f34070ddcbd680842e03cab07606d7c917e24217fe9a8769f5ba5d
SHA512: ec408c82162c03c453489bc1da23c47c3e090a213405bd60775ad283b63b7f523bd20d39ac3ac79e4bcb4f8395fe4b592c4f9fea422c97e304c0bc4942a4b8c5
Homepage: https://cran.r-project.org/package=MCPModGeneral
Description: CRAN Package 'MCPModGeneral' (A Supplement to the 'DoseFinding' Package for the General Case)
 Analyzes non-normal data via the Multiple Comparison Procedures and Modeling
 approach (MCP-Mod). Many functions rely on the 'DoseFinding' package. This
 package makes it so the user does not need to provide or calculate the mu
 vector and S matrix. Instead, the user typically supplies the data in its
 raw form, and this package will calculate the needed objects and passes them
 into the 'DoseFinding' functions. If the user wishes to primarily use the
 functions provided in the 'DoseFinding' package, a singular function
 (prepareGen()) will provide mu and S. The package currently handles power
 analysis and the MCP-Mod procedure for negative binomial, Poisson, and
 binomial data. The MCP-Mod procedure can also be applied to survival data,
 but power analysis is not available.  Bretz, F., Pinheiro, J. C., and
 Branson, M. (2005) <doi:10.1111/j.1541-0420.2005.00344.x>.  Buckland, S. T.,
 Burnham, K. P. and Augustin, N. H. (1997) <doi:10.2307/2533961>.  Pinheiro,
 J. C., Bornkamp, B., Glimm, E. and Bretz, F. (2014) <doi:10.1002/sim.6052>.

Package: r-cran-mcprofile
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-quadprog, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-markdown, r-cran-multcomp, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mcprofile_1.0-1-1.ca2004.1_all.deb
Size: 191184
MD5sum: 24db63c8421332ff75a1a2793baa1a4c
SHA1: c4e5ea9b499e99d893ed3c0e0b2994075199ecbf
SHA256: 8a9a50499c0ab4571bbc557ece5bacfaaec983cf9e6e331afc66149a369ce3f6
SHA512: a77a4edbfb25db9827616444e254b366f6e2f3a4f4521c16c4ec565efa5998535e721f2e754568da5d25137f5a4b2680a103eb6b871da132c1be216cdfcebb3f
Homepage: https://cran.r-project.org/package=mcprofile
Description: CRAN Package 'mcprofile' (Testing Generalized Linear Hypotheses for Generalized LinearModel Parameters by Profile Deviance)
 Calculation of signed root deviance profiles for linear combinations of
 parameters in a generalized linear model. Multiple tests and simultaneous
 confidence intervals are provided.

Package: r-cran-mcprogress
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1082
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-mcprogress_0.1.1-1.ca2004.1_all.deb
Size: 363576
MD5sum: f28a2b60293f2d5285117bc9fb7fda57
SHA1: 9be9aab556c031aff900bde90991821b7d7852c2
SHA256: 883468924f6e3556abb9cd48ff157206716d97df2b8f7d8ea51c111b53ac3236
SHA512: 8b58b5e1012e6463d89f7bebd303d5ebc609aa87af2c599c735b7785f9105d21b48a906a7b408b9811a26fa443b3a23cf4c24bc018581b140b58cca585c29d0b
Homepage: https://cran.r-project.org/package=mcprogress
Description: CRAN Package 'mcprogress' (Progress Bars and Messages for Parallel Processes)
 Tools for monitoring progress during parallel processing. Lightweight
 package which acts as a wrapper around mclapply() and adds a progress bar to
 it in 'RStudio' or 'Linux' environments. Simply replace your original call
 to mclapply() with pmclapply(). A progress bar can also be displayed during
 parallelisation via the 'foreach' package. Also included are functions to
 safely print messages (including error messages) from within parallelised
 code, which can be useful for debugging parallelised R code.

Package: r-cran-mcptests
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-smr, r-cran-writexl, r-cran-xtable, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-mcptests_1.0.1-1.ca2004.1_all.deb
Size: 184984
MD5sum: 03b36b374949a3de357acff872f08983
SHA1: 04562ee92f755172e9c8e5b56df89d474fbacdb7
SHA256: d415bbd95b2ca11a09af553016004581e692ecd8c92416b3fcb8817406f6c385
SHA512: 79b0e062aa9f26f47db3ff2d189e5b605133d9dd3ff07d055116d2b2a1d77dbc5f26fa8dd64733ac3f50571b18c2177b5be4d43fc207ea758c6fbb38050db9f1
Homepage: https://cran.r-project.org/package=MCPtests
Description: CRAN Package 'MCPtests' (Multiples Comparisons Procedures)
 Performs the execution of the main procedures of multiple comparisons in the
 literature, Scott-Knott (1974) <http://www.jstor.org/stable/2529204>,
 Batista (2016) <http://repositorio.ufla.br/jspui/handle/1/11466>, including
 graphic representations and export to different extensions of its results.
 An additional part of the package is the presence of the performance
 evaluation of the tests (Type I error per experiment and the power). This
 will assist the user in making the decision for the chosen test.

Package: r-cran-mcradds
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2048
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-checkmate, r-cran-desctools, r-cran-dplyr, r-cran-formatters, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-mcr, r-cran-proc, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vca
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-mcradds_1.1.1-1.ca2004.1_all.deb
Size: 1042080
MD5sum: 0a05a38fbd7bdae70d0c9312bc56f2e3
SHA1: 430dd849786686af3caf61fa42e566144245a245
SHA256: 74fef56fe5920030c8b8dac016035f58263dc828b801cf540450c575405e18aa
SHA512: adf4e362ea91e8a2d497b9ff7e19c04841a04894b3d6223c6b27e7c8486e232b6dccd2620cd0cb5d931b420204c18accdc597fa3bd70921be3c3813b53a53979
Homepage: https://cran.r-project.org/package=mcradds
Description: CRAN Package 'mcradds' (Processing and Analyzing of Diagnostics Trials)
 Provides methods and functions to analyze the quantitative or qualitative
 performance for diagnostic assays, and outliers detection, reader precision
 and reference range are discussed. Most of the methods and algorithms refer
 to CLSI (Clinical & Laboratory Standards Institute) recommendations and NMPA
 (National Medical Products Administration) guidelines. In additional,
 relevant plots are constructed by 'ggplot2'.

Package: r-cran-mcreplicate
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mcreplicate_0.1.2-1.ca2004.1_all.deb
Size: 14080
MD5sum: 4ca0b206006223cd0a076eec12a1ae64
SHA1: ec5e3b94656c5242479cf41009e3516bf973cdc2
SHA256: 16ff4ef0cb30c6c58a92808ff5cf3d4e4dbcb44afc74d3dad970c922fb39eaa3
SHA512: 162fc2e563874dc6a26cc5610e1dc7261b432f0d113b18d57710c559d10578d47807f5f85fb3811f3084fac5b8dc3d636222aa80b56747068aa40a92e268e6f6
Homepage: https://cran.r-project.org/package=mcreplicate
Description: CRAN Package 'mcreplicate' (Multi-Core Replicate)
 Multi-core replication function to make it easier to do fast Monte Carlo
 simulation. Based on the mcreplicate() function from the 'rethinking'
 package. The 'rethinking' package requires installing 'rstan', which is
 onerous to install, while also not adding capabilities to this function.

Package: r-cran-mcs
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1308
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcs_0.1.3-1.ca2004.1_all.deb
Size: 1286452
MD5sum: 36a823ac17987d5764056e8ee62d7575
SHA1: 07b76e4e0f00dab99f981b770b77ddd232326b38
SHA256: bcbcca518a7b2ffdd53ce736864ffdcded9d07c9294e9ff1da8dca7b26c3d6c1
SHA512: 43dad7e3caf41637d98cef3c054c1669d5aa55ec83b79264028ef2652ade8df07a3b33cf2be7525fa7bca8e588e1da9a258c0a0d5b4d70d66716800dbe566ab4
Homepage: https://cran.r-project.org/package=MCS
Description: CRAN Package 'MCS' (Model Confidence Set Procedure)
 Perform the model confidence set procedure of Hansen et al (2011)
 <doi:10.3982/ECTA5771>.

Package: r-cran-mcsim
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-circstats
Filename: pool/dists/focal/main/r-cran-mcsim_1.0-1.ca2004.1_all.deb
Size: 22732
MD5sum: be6092dda3a9b5e437194f90bfd03ef7
SHA1: 971f17249fbd8d8aaae05c31be782625ad8836d1
SHA256: be6c8003b5b6f363bbd004bf791c1652250af3a1caafe27b085b31cafc5a23aa
SHA512: 2e95661a1c0649d032948c4b33580732f7e6c57de50dafc5183502e0993aaf4ae43956df9757a63cbaa0f544c3adfa363e648f4cefc6140f81ee207272eb0145
Homepage: https://cran.r-project.org/package=MCSim
Description: CRAN Package 'MCSim' (Determine the Optimal Number of Clusters)
 Identifies the optimal number of clusters by calculating the similarity
 between two clustering methods at the same number of clusters using the
 corrected indices of Rand and Jaccard as described in Albatineh and
 Niewiadomska-Bugaj (2011). The number of clusters at which the index attain
 its maximum more frequently is a candidate for being the optimal number of
 clusters.

Package: r-cran-mcstats
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-gridextra, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcstats_0.1.2-1.ca2004.1_all.deb
Size: 62732
MD5sum: 196b05e57f95856ff4e8579fca6ff7fa
SHA1: 905eef5f8597762a71711ef5f09248f38cef2139
SHA256: 3363fb6497e1c69f7e74582b2b1f4bfcc1bf649016bf6e45006ff7312d3d2326
SHA512: a8d22389a390ad1ebd7a5c42a100362e6657eb032196f1db0a37e6cd6b77ba00071c8bda053c9e26800008e4b1a60955397d0d1da315093802c07dbd4e7383c0
Homepage: https://cran.r-project.org/package=mcStats
Description: CRAN Package 'mcStats' (Visualize Results of Statistical Hypothesis Tests)
 Provides functionality to produce graphs of sampling distributions of test
 statistics from a variety of common statistical tests. With only a few
 keystrokes, the user can conduct a hypothesis test and visualize the test
 statistic and corresponding p-value through the shading of its sampling
 distribution. Initially created for statistics at Middlebury College.

Package: r-cran-mcstatsim
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mcstatsim_0.5.0-1.ca2004.1_all.deb
Size: 104392
MD5sum: ef8f6b7c07696a5e9fad6d1ff9b9323e
SHA1: fed0365549d35f24d95ebbc81a21943c35a351a0
SHA256: fbc93fcac1855309616366bbabda99391e26a89767d7c6b0185815588e04720c
SHA512: 02d91834c3cf7268610c1f4b07f9cf27b2b8a83d5f96c50fffbbcdb566403c7f617eabd7e71bc8387bedae9ea69a67837130014d18a761b22ab6e907fc7d7367
Homepage: https://cran.r-project.org/package=mcstatsim
Description: CRAN Package 'mcstatsim' (Monte Carlo Statistical Simulation Tools Using a FunctionalApproach)
 A lightweight package designed to facilitate statistical simulations through
 functional programming. It centralizes the simulation process into a single
 higher-order function, enhancing manageability and usability without adding
 overhead from external dependencies. The package includes ready-to-use
 functions for common simulation targets. A detailed example can be found on
 <https://github.com/ielbadisy/mcstatsim>.

Package: r-cran-mctest
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mctest_1.3.1-1.ca2004.1_all.deb
Size: 71384
MD5sum: 8490887bec3e42334e000c3373259ac3
SHA1: 2676db6c643f6a4bf32b7c9cd65eb4bc14abaac3
SHA256: 4191c539814a200a5a58f0068d1e7674bbd604c942e0759f64f66e4735138b9a
SHA512: 9556186a1d72f80003e3e51d2b5755d543f0c4308f0b389542474f243702929f26b141d43aca4ceba03427542d85bed593c9f0df6c971189abcd69295e834498
Homepage: https://cran.r-project.org/package=mctest
Description: CRAN Package 'mctest' (Multicollinearity Diagnostic Measures)
 Package computes popular and widely used multicollinearity diagnostic
 measures <doi:10.17576/jsm-2019-4809-26> and <doi:10.32614/RJ-2016-062> .
 Package also indicates which regressors may be the reason of collinearity
 among regressors.

Package: r-cran-mctm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mctm_1.0-1.ca2004.1_all.deb
Size: 15680
MD5sum: 24641eecf3c83acf40bfefea7711445a
SHA1: cf348c0f5cd405b34bca6486ba1d50dd94d0b9c3
SHA256: d550e4a9ade4fbdd1173e3468354fada715c8e605375ec1b551a90282673a47c
SHA512: 3f007178212163c4103f1392ad977611be550245bc31dffd2c552fd2e6f71dc529a6874a26aecebc2738dd8f9d82d7b9c81aa0d015535540cdbe3ce6e32d702d
Homepage: https://cran.r-project.org/package=MCTM
Description: CRAN Package 'MCTM' (Markov Chains Transition Matrices)
 Transition matrices (probabilities or counts) estimation for discrete Markov
 Chains of order n (1 <= n <= 5).

Package: r-cran-mctq
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-hms, r-cran-lifecycle, r-cran-lubridate
Suggests: r-cran-covr, r-cran-knitr, r-cran-mockr, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-mctq_0.3.2-1.ca2004.1_all.deb
Size: 509988
MD5sum: b127e20a0743266852b3b289a6413afe
SHA1: 6ce12fc8d881a7a1709d0b845fb8e4a5c4c9aed0
SHA256: e95e1e35b15452225c09b7942d02da4d829dcc64f6c34f9016ac26d615f7e9a8
SHA512: f7d575d2f7d7ee9d850b76eae38ab135a62d2c896b4a02280feab068c63dc9df1d7e42025a6151b226faadf65171a2e387c9b0a74eaa97bce9160d80eb1aadec
Homepage: https://cran.r-project.org/package=mctq
Description: CRAN Package 'mctq' (Tools to Process the Munich ChronoType Questionnaire (MCTQ))
 A complete toolkit to process the Munich ChronoType Questionnaire (MCTQ) for
 its three versions (standard, micro, and shift).  MCTQ is a quantitative and
 validated tool to assess chronotypes using peoples' sleep behavior,
 originally presented by Till Roenneberg, Anna Wirz-Justice, and Martha
 Merrow (2003, <doi:10.1177/0748730402239679>).

Package: r-cran-mctrend
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-trend, r-cran-reshape2, r-cran-ggplot2, r-cran-magrittr, r-cran-lmomco, r-cran-dplyr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mctrend_1.0.1-1.ca2004.1_all.deb
Size: 47760
MD5sum: fea8b4c847294121d45d788ccf7f636d
SHA1: 792fd7f90c1045a75f12fb6922abe884a37774d5
SHA256: e4a7583f974dd8484f74711234af96c72817aff602c457a4423b070549e45013
SHA512: dd79ed9101a42eaf16d1938fadced255bb2dbe811b04c3d92e32b19edf0df7c26140951b8111b6746ad9b464a11c7e5d9b0827572b19d17dd3096c215494466f
Homepage: https://cran.r-project.org/package=MCTrend
Description: CRAN Package 'MCTrend' (Monte Carlo Trend Analysis)
 Application of a test to rule out that trends detected in hydrological time
 series are explained exclusively by the randomness of the climate. Based on:
 Ricchetti, (2018) <https://repositorio.uchile.cl/handle/2250/168487>.

Package: r-cran-mcunit
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat, r-cran-rlang, r-cran-rdpack, r-cran-simctest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcunit_0.3.2-1.ca2004.1_all.deb
Size: 63976
MD5sum: 3d697dc853d8339597c43ea778f86869
SHA1: c1d55611e44b8d3eaa0c744c764c297857cffc9a
SHA256: afd19dad0eed119b1c31910215b90f7197caf7c48feaf4968502eb8877553955
SHA512: 91508fc570f2fb361a6295574ee0f64f35ca34a802705c910ad961da6e53256c6d268293db499d4f807b8ffe23b3518c7a4d4f43cf00fd7b5b165435f4600dac
Homepage: https://cran.r-project.org/package=mcunit
Description: CRAN Package 'mcunit' (Unit Tests for MC Methods)
 Unit testing for Monte Carlo methods, particularly Markov Chain Monte Carlo
 (MCMC) methods, are implemented as extensions of the 'testthat' package. The
 MCMC methods check whether the MCMC chain has the correct invariant
 distribution. They do not check other properties of successful samplers such
 as whether the chain can reach all points, i.e. whether is recurrent. The
 tests require the ability to sample from the prior and to run steps of the
 MCMC chain. The methodology is described in Gandy and Scott (2020)
 <arXiv:2001.06465>.

Package: r-cran-mcvis
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-igraph, r-cran-ggplot2, r-cran-purrr, r-cran-magrittr, r-cran-reshape2, r-cran-shiny, r-cran-dplyr, r-cran-psych, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mcvis_1.0.8-1.ca2004.1_all.deb
Size: 203056
MD5sum: 705a4c3aa83da43d09fd23cf26d9cebd
SHA1: 91fe3201e95d9ad38d7f47ffd76136b10a7d9090
SHA256: 78700cf4ea158a15d99114eff2ca5b453d3793a65373a4a01550fbc4520d507a
SHA512: 0d3fbbb8da671260df17f39b0aabcaa24284b2ac73dabbb3deb9e414d897879649aeb0b42f7ded1de4065a95cd019495793cb7bcdd47b6e8d43005ecb0f8396e
Homepage: https://cran.r-project.org/package=mcvis
Description: CRAN Package 'mcvis' (Multi-Collinearity Visualization)
 Visualize the relationship between linear regression variables and causes of
 multi-collinearity.  Implements the method in Lin et. al. (2020)
 <doi:10.1080/10618600.2020.1779729>.

Package: r-cran-mcwr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mcwr_1.0.0-1.ca2004.1_all.deb
Size: 81164
MD5sum: c3357868f5c7d04f2de6ca3b6e850744
SHA1: aea0684633e93468844c2acc1045f4ae62c88c34
SHA256: 247456732d2e534ca31f99ce91f6cadb269b94d9834458b82b8d18afef7007bb
SHA512: bf1c4a7c38b56fe51da7b57c22b4c6a40603ed0da660b185845d6a7dad4566c031a6cbadb1975d2d5f5930d8e865c81d9250373ab7ce66f362c24c10763f31dc
Homepage: https://cran.r-project.org/package=mcwr
Description: CRAN Package 'mcwr' (Markov Chains with Rewards)
 In the context of multistate models, which are popular in sociology,
 demography, and epidemiology, Markov chain with rewards calculations can
 help to refine transition timings and so obtain more accurate estimates. The
 package code accommodates up to nine transient states and irregular age
 (time) intervals. Traditional demographic life tables result as a special
 case.  Formulas and methods involved are explained in detail in the
 accompanying article: Schneider / Myrskyla / van Raalte (2021): Flexible
 Transition Timing in Discrete-Time Multistate Life Tables Using Markov
 Chains with Rewards, MPIDR Working Paper WP-2021-002.

Package: r-cran-md.log
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-futile.logger
Filename: pool/dists/focal/main/r-cran-md.log_0.2.0-1.ca2004.1_all.deb
Size: 18540
MD5sum: 1ecd3b4b12565593e77f5054755c5d57
SHA1: 49327df32b44c5fc4e309c4553efb263c61a69b9
SHA256: 8efa86591dcb5af5aad42471b44d603c11be4e099c00e4d01fceeda462094df0
SHA512: 5cc88cc58bb91214b6762a918d15f0ec113c5aba4ab95138f77eb5e1839c799f0de8e77a598158f64932279e56a4a77a49697001c3353e037f7289e73f644b4b
Homepage: https://cran.r-project.org/package=md.log
Description: CRAN Package 'md.log' (Produces Markdown Log File with a Built-in Function Call)
 Produces clean and neat Markdown log file and also provide an argument to
 include the function call inside the Markdown log.

Package: r-cran-md
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-md_1.0.4-1.ca2004.1_all.deb
Size: 29828
MD5sum: afd9205752c197612d584a53797058bf
SHA1: 76959b23417970b7c6a328f71d7e2cfb5b9d9d22
SHA256: b821b9705b361253a9a041a53337eb2cee7d50c114428c04f7f991016d7a4544
SHA512: d0d103dad164aed0282599789d46cf84196dc05d170199340e1c61ef67443afe39b340f674c729e8c45ce92551267439bfae375d67a474d9cbf9eecade119435
Homepage: https://cran.r-project.org/package=md
Description: CRAN Package 'md' (Selecting Bandwidth for Kernel Density Estimator with MinimumDistance Method)
 Selects bandwidth for the kernel density estimator with minimum distance
 method as proposed by Devroye and Lugosi (1996). The minimum distance method
 directly selects the optimal kernel density estimator from countably
 infinite kernel density estimators and indirectly selects the optimal
 bandwidth. This package selects the optimal bandwidth from finite kernel
 density estimators.

Package: r-cran-mdapack
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-devtools, r-cran-roxygen2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-spelling, r-cran-httr, r-cran-covr, r-cran-gh, r-cran-rlang, r-cran-openssl, r-cran-git2r, r-cran-pkgbuild, r-cran-curl, r-cran-vim, r-cran-factominer, r-cran-mice
Filename: pool/dists/focal/main/r-cran-mdapack_0.0.2-1.ca2004.1_all.deb
Size: 40624
MD5sum: e059b815fd7c886c993265a8b41cb786
SHA1: 700421b7860f113280a72f6c38d7512e5ca82caf
SHA256: 0e1dcc01954718e00bee2330d24127f7e4c0b3c20b3742ff2f1d5f836811d273
SHA512: 0b5e47a68214ae560fdf08173d6e3d6abf15c216bde5a2273c6822affccfff40c3bc2031672bdd88d136255f6f5aa116a47a633426df7cb3b415b620a4151efe
Homepage: https://cran.r-project.org/package=mdapack
Description: CRAN Package 'mdapack' (Medical Data Analysis Pack)
 An implementation of functions for medical data analysis which perform basic
 data pre processing, univariate and bivariate analysis.Kirkwood et al.
 (2003) <doi:10.1002/sim.1961>.

Package: r-cran-mdatools
Architecture: all
Version: 0.14.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1930
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat, r-cran-pcv
Filename: pool/dists/focal/main/r-cran-mdatools_0.14.2-1.ca2004.1_all.deb
Size: 1773220
MD5sum: be0833274f4b9e2aeee432461a1263ce
SHA1: 8f49ee92208c522bb141e9204ea333c539aef25f
SHA256: cb5e960259e57938b0a33f9dfa6ca104d973c16fb80846d4c3d9b23c8745627a
SHA512: d2075152bb9f5e452a1c11c859371ac96d3d0feebc9a4ebce581579de1d437967410c434fcf2778175781662d0f0cebca600a2a74a11c934098c7ae7c371464a
Homepage: https://cran.r-project.org/package=mdatools
Description: CRAN Package 'mdatools' (Multivariate Data Analysis for Chemometrics)
 Projection based methods for preprocessing, exploring and analysis of
 multivariate data used in chemometrics. S. Kucheryavskiy (2020)
 <doi:10.1016/j.chemolab.2020.103937>.

Package: r-cran-mdbed
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-orthopolynom, r-cran-foreach, r-cran-lattice, r-cran-doparallel, r-cran-ggplot2, r-cran-psych
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mdbed_1.0.0-1.ca2004.1_all.deb
Size: 69512
MD5sum: 4ceb8b9fbdab005711618d9c55782b84
SHA1: 11d6ed67d14d1a80c64900f29454ae70cea348d7
SHA256: 815818b705e5a0aeb32b525b22498d0ab40f4c78327ef978f8a6398a3178110c
SHA512: d7077a910500d69220252dc7d2e389ff7535ae2b2ad6c501191c3edacd215d0ec55f8af95beb1c1b0dabe6219a2a3edd07f1f54c966a660f4b489e369474b787
Homepage: https://cran.r-project.org/package=MDBED
Description: CRAN Package 'MDBED' (Moran-Downton Bivariate Exponential Distribution)
 Provides 3D plots of the Moran-Downton bivariate exponential distribution
 (MDBED), generates bivariate random values, and also provides values of the
 joint and conditional PDFs and CDFs.  Nagao M, Kadoya M (1971)
 <http://hdl.handle.net/2433/124795>.  Balakrishna N, Lai CD (2009)
 <doi:10.1007/b101765>.

Package: r-cran-mdbr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mdbr_0.2.1-1.ca2004.1_all.deb
Size: 206540
MD5sum: e1cf6e7e45caad3af401a45347f8469a
SHA1: 8df84ce2204e4ecafa6a7df0f7f1169b804dca0b
SHA256: 77c543b253304ec31f6553818e889ebeccbd9c55022cfb6e7f483a4df67cbb51
SHA512: e2c1ec6487677ee257f3b19a8a2a292ca2a27ab306351e55bb655ee9d63cf7dccad02efd95c2823b90e66a65db45738a5070fa43bcdaab104ae762021379b362
Homepage: https://cran.r-project.org/package=mdbr
Description: CRAN Package 'mdbr' (Work with Microsoft Access Files)
 Use the open source 'MDB Tools' utilities
 <https://github.com/mdbtools/mdbtools/>. Primarily used for converting
 proprietary Microsoft Access files to simple text files and then reading
 those as data frames.

Package: r-cran-mddmaps
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-progress, r-cran-readr, r-cran-stringr, r-cran-terra
Filename: pool/dists/focal/main/r-cran-mddmaps_1.3.0-1.ca2004.1_all.deb
Size: 359572
MD5sum: 1ed5266d0b06f27a0e6cc3354574d799
SHA1: 898ce9b800918b5f9058b5479ec552bed50adb9b
SHA256: 87c588e202ebdff96448709af3d0219d84a75058fbe735aecb3738447ecdc476
SHA512: 4b2554b200e32c2e611b6f63b728297a34cece937fb1da039cb4b499590d6c731cfbe488c1de80c004b656f34b2107403a7e8d3d91ddf2fcae5c489ce974234a
Homepage: https://cran.r-project.org/package=mddmaps
Description: CRAN Package 'mddmaps' (Download World Mammal Maps)
 Lightweight maps of mammals of the world. These maps are a comprehensive
 collection of maps aligned with the Mammal Diversity Database taxonomy of
 the American Society of Mammalogists. They are generated at low resolution
 for easy access, consultation and manipulation in shapefile format. The
 package connects to a binary backup hosted in the Digital Ocean cloud
 service and allows individual or batch download of any mammal species in the
 mdd taxonomy by providing the scientific species name.

Package: r-cran-mde
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2466
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mde_0.3.2-1.ca2004.1_all.deb
Size: 384028
MD5sum: 071d7316dcf8e667a2b301bd1271a28b
SHA1: 74cc5c2016f656d8be7067338748de6b35fa49ba
SHA256: de068e7f19f3139d53d9e06fa53c012476c9194a48b63c8b903874d75c3f9904
SHA512: 0244a1ff1ee3e2f5e018ac48d66e5e67594afa59602ad2c1cd0bbddcb95964f0f96baf1cff0bf722fd460d95946268f2c8f1edf2ed1bfea629dbaaafd2297314
Homepage: https://cran.r-project.org/package=mde
Description: CRAN Package 'mde' (Missing Data Explorer)
 Correct identification and handling of missing data is one of the most
 important steps in any analysis. To aid this process, 'mde' provides a very
 easy to use yet robust framework to quickly get an idea of where the missing
 data lies and therefore find the most appropriate action to take.  Graham WJ
 (2009) <doi:10.1146/annurev.psych.58.110405.085530>.

Package: r-cran-mded
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mded_0.1-2-1.ca2004.1_all.deb
Size: 17512
MD5sum: 2396c2492a8d007287c149e7a0baceb4
SHA1: 2a1cdcc675e8100e657c1232130ad920f598c211
SHA256: 3ce68c18001c0f06cbf905ec8b427146dc7d8336be7ada77904e6325028d6d43
SHA512: 59356eabe08ecab6dd28017f76529146df3ba9bf42140234ab46b74cb6cd72e6ff4e9aabd831225dbd41c420a3ca16e0c2e74a2d749968657e266462c9f19fca
Homepage: https://cran.r-project.org/package=mded
Description: CRAN Package 'mded' (Measuring the Difference Between Two Empirical Distributions)
 Provides a function for measuring the difference between two independent or
 non-independent empirical distributions and returning a significance level
 of the difference.

Package: r-cran-mdftracks
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-tibble, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-mdftracks_0.2.2-1.ca2004.1_all.deb
Size: 45068
MD5sum: f5874c656da27a4148db7187837fb34b
SHA1: 43e87ed8bc07a8e7af5ea29d0f447658a6f46bd7
SHA256: c00b01551c4b03927fc5b741a78ac15f4c1f33728af63a8fdbf434bfa5372eec
SHA512: 9dcffb707ddb92cad31c5d9eaf5376ef2b9a944c02f1b11412721f8768781a8b113a69353c778671571a35493125462ea02ac39ea5ae9453cfd8cd824f4bca07
Homepage: https://cran.r-project.org/package=mdftracks
Description: CRAN Package 'mdftracks' (Read and Write 'MTrackJ Data Files')
 'MTrackJ' is an 'ImageJ' plugin for motion tracking and analysis (see
 <https://imagescience.org/meijering/software/mtrackj/>). This package reads
 and writes 'MTrackJ Data Files' ('.mdf', see
 <https://imagescience.org/meijering/software/mtrackj/format/>). It supports
 2D data and read/writes cluster, point, and channel information. If desired,
 generates track identifiers that are unique over the clusters.  See the
 project page for more information and examples.

Package: r-cran-mdhglm
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 645
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-boot, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mdhglm_1.8-1.ca2004.1_all.deb
Size: 594240
MD5sum: 3198f8b2e28828b70750264d146c893f
SHA1: 273bb3d7ac4385ecdd4a493b96eca16c17231d4a
SHA256: 5b6fbac08038702146c204da523e69de47f7b1e96f8c996384abe9a2bf78b812
SHA512: 4640c5f1426cbeaab9cbee328e7bf10b5291f1e08bf5b860910c2fc71a66bf11ec41c728aa106367b2f959ba255d89cdcfce339f05f1c03a4a10ad728985ef18
Homepage: https://cran.r-project.org/package=mdhglm
Description: CRAN Package 'mdhglm' (Multivariate Double Hierarchical Generalized Linear Models)
 Allows various models for multivariate response variables where each
 response is assumed to follow double hierarchical generalized linear models.
 In double hierarchical generalized linear models, the mean, dispersion
 parameters for variance of random effects, and residual variance can be
 further modeled as random-effect models.

Package: r-cran-mdimnormn
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mdimnormn_0.8.0-1.ca2004.1_all.deb
Size: 110216
MD5sum: 68c56e8a8b46edfb56644fb87f4db3b3
SHA1: 9f56256245c6988497e72b468176f9072330f470
SHA256: ad50775d83453c1567d10f0c04e9ab1e22d0eee7f5811ea34f9489796e6e6b9e
SHA512: 7b8fd1ecd59b03766e8874c5868b4216839da73d9914aa82ff6fb9dc6c4d0deb545a33d7da929054edd55612f502f1cd4079d12512011a00b8c9b705cd1dc919
Homepage: https://cran.r-project.org/package=MDimNormn
Description: CRAN Package 'MDimNormn' (Multi-Dimensional MA Normalization for Plate Effect)
 Normalize data to minimize the difference between sample plates (batch
 effects). For given data in a matrix and grouping variable (or plate), the
 function 'normn_MA' normalizes the data on MA coordinates.  More details are
 in the citation. The primary method is 'Multi-MA'. Other fitting functions
 on MA coordinates can also be employed e.g. loess.

Package: r-cran-mdir.logrank
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-coin
Filename: pool/dists/focal/main/r-cran-mdir.logrank_0.0.4-1.ca2004.1_all.deb
Size: 83556
MD5sum: c2cba74fa180c60010d02167d48dcddb
SHA1: a689be916b8898732f1712e8dd70206ecf9e4626
SHA256: 9bf37dc87fe35b6caf10c3098a6b90a1da1f4d8d84621c4dfc0ff4153a4c6879
SHA512: a79a2665d900bab813be52e8f307420d2950f3bfe9cc6747532e80a0dc71c1ad5c9ba3e98a5b726001d6925ac697df13957965d3c85e62213bed535005934ca9
Homepage: https://cran.r-project.org/package=mdir.logrank
Description: CRAN Package 'mdir.logrank' (Multiple-Direction Logrank Test)
 Implemented are the one-sided and two-sided multiple-direction logrank test
 for two-sample right censored data. In addition to the statistics p-values
 are calculated: 1. For the one-sided testing problem one p-value based on a
 wild bootstrap approach is determined. 2. In the two-sided case one p-value
 based on a chi-squared approximation and a second p-values based on a
 permutation approach are calculated.  Ditzhaus, M. and Friedrich, S. (2018)
 <arXiv:1807.05504>.  Ditzhaus, M. and Pauly, M. (2018) <arXiv:1808.05627>.

Package: r-cran-mdma
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-lme4, r-cran-mass, r-cran-performance
Suggests: r-cran-clusterbootstrap, r-cran-glmmtmb, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-mdma_2.0.0-1.ca2004.1_all.deb
Size: 159684
MD5sum: 7193f629c24900459bfbd4d6ddc58da8
SHA1: f595fbdf70df0118438f9bcad456520531ebfd38
SHA256: 9c65edd60aa3b61a80ce263d2ab1649b3dde038f406a72f61a8ed2a030e12e69
SHA512: 43b9c6e4c63d41406b90be6d90e82d2795b11a93d4e445bdad8e76d5d87945ae018a484ddb9ceddc0072e87db87cf97e2337cd316794df4862c9036c60ce2ca0
Homepage: https://cran.r-project.org/package=MDMA
Description: CRAN Package 'MDMA' (Mathijs Deen's Miscellaneous Auxiliaries)
 Provides a variety of functions useful for data analysis, selection,
 manipulation, and graphics.

Package: r-cran-mdmapr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmysql, r-cran-shinydashboard, r-cran-dbi, r-cran-dt, r-cran-leaflet, r-cran-leaflet.extras, r-cran-shinyjs, r-cran-ggplot2, r-cran-dplyr, r-cran-readxl, r-cran-plotly, r-cran-reactable, r-cran-writexl, r-cran-xfun, r-cran-berryfunctions, r-cran-shinywidgets, r-cran-shiny, r-cran-htmltools, r-cran-bslib, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-mdmapr_0.2.3-1.ca2004.1_all.deb
Size: 291916
MD5sum: f689b0019a8d8428f9ecf10c8e96824d
SHA1: 3bae5e2fe9010f8e678f56aa9ed18283898cbe26
SHA256: b7d4934b4ac545b2ac53a0984f1f06bb5bed4a3150ee9b702523ab84e2e9d0bd
SHA512: 5e8026964709d377ccae94dff237cd812463f96c8034818c29c011064d847720a6b0e240bc1856a721d988742e11a68bfa4ff0b9d9b8429904eefec76b481c67
Homepage: https://cran.r-project.org/package=MDMAPR
Description: CRAN Package 'MDMAPR' (Molecular Detection Mapping and Analysis Platform)
 Runs a Shiny web application that merges raw 'qPCR' fluorescence data with
 related metadata to visualize species presence/absence detection patterns
 and assess data quality.  The application calculates threshold values from
 raw fluorescence data using a method based on the second derivative method,
 Luu-The et al (2005) <doi:10.2144/05382RR05>, and utilizes the ‘chipPCR’
 package by Rödiger, Burdukiewicz, & Schierack (2015)
 <doi:10.1093/bioinformatics/btv205> to calculate Cq values. The application
 has the ability to connect to a custom developed MySQL database to populate
 the applications interface. The application allows users to interact with
 visualizations such as a dynamic map, amplification curves and standard
 curves, that allow for zooming and/or filtering. It also enables the
 generation of customized exportable reports based on filtered mapping data.

Package: r-cran-mdmr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-compquadform, r-cran-lme4, r-cran-car
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mdmr_0.5.2-1.ca2004.1_all.deb
Size: 294320
MD5sum: b61f4e172fafba5ebb550bdc251ea548
SHA1: 5f7c8dc8c806c3adbdd64a2c52ee7b79a23aefe4
SHA256: 2fff85387862e1cb4805a90f57204f9e41f00d9679b59ae95aef143ada9b95e9
SHA512: 0ea44c874d60f0fe66cfd932a791e76114b98afbfa472d6ad087cab0df8c067057e646a06fbabcd555e137a7037aad94e3039ef9f9cd29471f866a23ff877121
Homepage: https://cran.r-project.org/package=MDMR
Description: CRAN Package 'MDMR' (Multivariate Distance Matrix Regression)
 Allows users to conduct multivariate distance matrix regression using
 analytic p-values and compute measures of effect size. For details on the
 method, see McArtor, Lubke, & Bergeman (2017)
 <doi:10.1007/s11336-016-9527-8>.

Package: r-cran-mdols
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mdols_1.0-1.ca2004.1_all.deb
Size: 23800
MD5sum: fff4f983750f13988bfaafef84db2809
SHA1: 8f64f575ea63372217d432a366372b8b470a799a
SHA256: 1b3320a040389fd28f200c6a1564d5ca4eaa1198784a8a55b0891e3647fbd968
SHA512: dfd3f9e0108013aa104d4a89d8414d0235fda786541ff1d131fa71258fe58566b96c53a50267ae38e2c3929682907de0562ee3890ae8c93d1c9839cc37a2b124
Homepage: https://cran.r-project.org/package=MDOLS
Description: CRAN Package 'MDOLS' (Inference of Quadratic Functional for Moderate-Dimensional OLS)
 Statistical inference for quadratic functional of the moderate-dimensional
 linear model in Guo and Cheng (2021) <DOI:10.1080/01621459.2021.1893177>.

Package: r-cran-mdpeer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-nlme, r-cran-boot, r-cran-nloptr, r-cran-rootsolve, r-cran-psych, r-cran-magic, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mdpeer_1.0.1-1.ca2004.1_all.deb
Size: 347716
MD5sum: a9694be4220ea70c5772a8a3c17dc13c
SHA1: 2672d9bb68432453cd9ecb16047a0f16063cec58
SHA256: b1cf85e277d0fabe97507338d26d0ac2e83be511e2a62da83ebc59538e85acbd
SHA512: 02a3db99c4491db04045b06d751a7f422b57736e3a61f82e48dac556e22a489bdc7eee1ca22f25508c85f82db900c99c099f228e1074990a9706b44ef9d37596
Homepage: https://cran.r-project.org/package=mdpeer
Description: CRAN Package 'mdpeer' (Graph-Constrained Regression with Enhanced RegularizationParameters Selection)
 Provides graph-constrained regression methods in which regularization
 parameters are selected automatically via estimation of equivalent Linear
 Mixed Model formulation. 'riPEER' (ridgified Partially Empirical
 Eigenvectors for Regression) method employs a penalty term being a linear
 combination of graph-originated and ridge-originated penalty terms, whose
 two regularization parameters are ML estimators from corresponding Linear
 Mixed Model solution; a graph-originated penalty term allows imposing
 similarity between coefficients based on graph information given whereas
 additional ridge-originated penalty term facilitates parameters estimation:
 it reduces computational issues arising from singularity in a
 graph-originated penalty matrix and yields plausible results in situations
 when graph information is not informative. 'riPEERc' (ridgified Partially
 Empirical Eigenvectors for Regression with constant) method utilizes
 addition of a diagonal matrix multiplied by a predefined (small) scalar to
 handle the non-invertibility of a graph Laplacian matrix. 'vrPEER' (variable
 reducted PEER) method performs variable-reduction procedure to handle the
 non-invertibility of a graph Laplacian matrix.

Package: r-cran-mdpiexplorer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-rvest, r-cran-scales, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mdpiexplorer_0.3.0-1.ca2004.1_all.deb
Size: 233028
MD5sum: 6808d37f15eb4ac21a7a448cf6f6c25b
SHA1: 8fbceb4d0ae7ac570af17d67664bdef2484ac0a6
SHA256: 646fb4db747a0abccac5596453dcfb8366d7b31847e1320300265166ec1d8315
SHA512: 00cb642495742ab3ee9c4d1017a1530b4f4dd8ce1b6c284f06ff04b6279a590c181e2f689cea2eb6cf4d627eb9683968be93a44e6673601e606bc6460a029393
Homepage: https://cran.r-project.org/package=MDPIexploreR
Description: CRAN Package 'MDPIexploreR' (Web Scraping and Bibliometric Analysis of MDPI Journals)
 Provides comprehensive tools to scrape and analyze data from the MDPI
 journals. It allows users to extract metrics such as
 submission-to-acceptance times, article types, and whether articles are part
 of special issues. The package can also visualize this information through
 plots. Additionally, 'MDPIexploreR' offers tools to explore patterns of
 self-citations within articles and provides insights into guest-edited
 special issues.

Package: r-cran-mdplot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7555
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rcolorbrewer, r-cran-gplots, r-cran-gtools
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mdplot_1.0.1-1.ca2004.1_all.deb
Size: 3626260
MD5sum: a480920aff4216a0cf565851462e020c
SHA1: 92ad4a885dfd8611a8baa9b2e33c0aa2450f0d90
SHA256: b8d6379b00e9bf0cad1782a3b30b82d196b2e2a428480d8a95c347975d218f2c
SHA512: fec927c8ef72c9e4b1f1a74fdbb180ac9ecd689069ceb0f71ca1a9359da2c3831c968f36186a6ed4e101f0ab6b16eab9de4b201e77fd6709dabf71c21b77760b
Homepage: https://cran.r-project.org/package=MDplot
Description: CRAN Package 'MDplot' (Visualising Molecular Dynamics Analyses)
 Provides automatization for plot generation succeeding common molecular
 dynamics analyses.  This includes straightforward plots, such as RMSD
 (Root-Mean-Square-Deviation) and RMSF (Root-Mean-Square-Fluctuation) but
 also more sophisticated ones such as dihedral angle maps, hydrogen bonds,
 cluster bar plots and DSSP (Definition of Secondary Structure of Proteins)
 analysis. Currently able to load GROMOS, GROMACS and AMBER formats,
 respectively.

Package: r-cran-mdptoolbox
Architecture: all
Version: 4.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-linprog
Filename: pool/dists/focal/main/r-cran-mdptoolbox_4.0.3-1.ca2004.1_all.deb
Size: 119240
MD5sum: 5806e767f41f889a5313c4584bfee776
SHA1: 62e764e98aec4dc8eafcd242beea1cf55e73b1a2
SHA256: b866f9f2334030489a41d08ba6bad39cded45092d11242af8828e5fa61b2d2e4
SHA512: 1db49ac84a441cf4407cc30e1b914d3d832f714c5b6e88f055a4307dbcd120ba491843ec8e2efc06756831c41ec2182ad29dff32284c1d0b5269f7fcc5b4fe90
Homepage: https://cran.r-project.org/package=MDPtoolbox
Description: CRAN Package 'MDPtoolbox' (Markov Decision Processes Toolbox)
 The Markov Decision Processes (MDP) toolbox proposes functions related to
 the resolution of discrete-time Markov Decision Processes: finite horizon,
 value iteration, policy iteration, linear programming algorithms with some
 variants and also proposes some functions related to Reinforcement Learning.

Package: r-cran-mds
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-parsedate, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mds_0.3.2-1.ca2004.1_all.deb
Size: 141640
MD5sum: d82842cd140cf2c5b195d2be1913f25a
SHA1: 988184892c15d6ad2193f86165ab1f189f2f9d52
SHA256: e13980c736da9dcbbdfe7c5178329d0b535e5c137d710bd466909d2542f34dcc
SHA512: 39c2183a3b773c7c7430d79c9a468068ffab72b53e02718542c16962f476683dc00a2f145da3129fd8d5f48a10244eb1d8c8212abf088d08f188647d16360094
Homepage: https://cran.r-project.org/package=mds
Description: CRAN Package 'mds' (Medical Devices Surveillance)
 A set of core functions for handling medical device event data in the
 context of post-market surveillance, pharmacovigilance, signal detection and
 trending, and regulatory reporting. Primary inputs are data on events by
 device and data on exposures by device. Outputs include: standardized
 device-event and exposure datasets, defined analyses, and time series.

Package: r-cran-mdscore
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-sleuth3
Filename: pool/dists/focal/main/r-cran-mdscore_0.1-3-1.ca2004.1_all.deb
Size: 39408
MD5sum: 0376d5f8185ac69d8daac6077d0b202f
SHA1: ad7a94d4569c5d42f6ba932342f04d2bf5bffcfd
SHA256: 490065891224d22b088e3f6a5d4b1fa92941a8d6c900a543afd4c66671edbd36
SHA512: ef209b882090b8a0a651967813863c3a153ea15f0598747ea8216c53b5da351bdb6fc0ea22caa89eb04fbb5acc900ee4abc7a52deff3f637df4a89bbc01a5e3c
Homepage: https://cran.r-project.org/package=mdscore
Description: CRAN Package 'mdscore' (Improved Score Tests for Generalized Linear Models)
 A set of functions to obtain modified score test for generalized linear
 models.

Package: r-cran-mdsdt
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ellipse, r-cran-mnormt, r-cran-polycor
Filename: pool/dists/focal/main/r-cran-mdsdt_1.2-1.ca2004.1_all.deb
Size: 131924
MD5sum: 762eb22fa6a35fd9313fee9a30707f77
SHA1: 5cd682e50bfaf11a346ad35160b3da46549f5d58
SHA256: 340c868821a8a9d712352f26f021e5a232962e3df99eb0a366ede91b23b351da
SHA512: 8608b5a19cf62d3f27365d0f43a0a00799a0f56749279128bee95e41579b8c2e92772b5f95e6911dac715bec6775ea7dfe49a1bdb74d61b6af40a66610b65e42
Homepage: https://cran.r-project.org/package=mdsdt
Description: CRAN Package 'mdsdt' (Functions for Analysis of Data with General Recognition Theory)
 Tools associated with General Recognition Theory (Townsend & Ashby, 1986),
 including Gaussian model fitting of 2x2 and more general designs, associated
 plotting and model comparison tools, and tests of marginal response
 invariance and report independence.

Package: r-cran-mdsmap
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1772
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-smacof, r-cran-princurve, r-cran-rgl, r-cran-reshape
Suggests: r-cran-qtl, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mdsmap_1.3-1.ca2004.1_all.deb
Size: 702276
MD5sum: 005398cb73c4279f23b4b4b001aab318
SHA1: 445eaa203cc73c24b0dd99c05e97b0410aa11f83
SHA256: 8ecd55c324d127ab02b64f0869b1bd71b89f9f5de59b23629f097f1121169a06
SHA512: f076229e3af56d9c88d645053d974e99d7fb2b33da35496b989ae22e6bac79d38d39d7b6396c2d54f01e1042a25624f4bc880012db44ab22636a09c578038d69
Homepage: https://cran.r-project.org/package=MDSMap
Description: CRAN Package 'MDSMap' (High Density Genetic Linkage Mapping using MultidimensionalScaling)
 Estimate genetic linkage maps for markers on a single chromosome (or in a
 single linkage group) from pairwise recombination fractions or intermarker
 distances using weighted metric multidimensional scaling. The methods are
 suitable for autotetraploid as well as diploid populations. Options for
 assessing the fit to a known map are also provided. Methods are discussed in
 detail in Preedy and Hackett (2016) <doi:10.1007/s00122-016-2761-8>.

Package: r-cran-mdsopt
Architecture: all
Version: 0.7-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-smacof, r-cran-clustersim, r-cran-symbolicda, r-cran-animation, r-cran-plotrix, r-cran-spdep
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mdsopt_0.7-7-1.ca2004.1_all.deb
Size: 299652
MD5sum: ddabde17a5183331174db5dfe4f3532f
SHA1: c9bee9f90db84223148455246ae9a6ed5c750dba
SHA256: a9038ba510360121a6cf1faa4f16b7e390e5ef87a28f02e8a17df65ff1cf1258
SHA512: e3ae2a6cbc2840ce7d43fa999d58333d301e860ff6c75b064ff0a0bafede515e9faf767fada332f16c5e6c0e8731853d44db32ae43d5c5aa5d983b05af4afdd9
Homepage: https://cran.r-project.org/package=mdsOpt
Description: CRAN Package 'mdsOpt' (Searching for Optimal MDS Procedure for Metric andInterval-Valued Data)
 Selecting the optimal multidimensional scaling (MDS) procedure for metric
 data via metric MDS (ratio, interval, mspline) and nonmetric MDS (ordinal).
 Selecting the optimal multidimensional scaling (MDS) procedure for
 interval-valued data via metric MDS (ratio, interval, mspline).Selecting the
 optimal multidimensional scaling procedure for interval-valued data by
 varying all combinations of normalization and optimization methods.Selecting
 the optimal MDS procedure for statistical data referring to the evaluation
 of tourist attractiveness of Lower Silesian counties.  (Borg, I., Groenen,
 P.J.F., Mair, P. (2013) <doi:10.1007/978-3-642-31848-1>, Walesiak, M. (2016)
 <doi:10.15611/ekt.2016.2.01>, Walesiak, M. (2017)
 <doi:10.15611/ekt.2017.3.01>).

Package: r-cran-mdspcashiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-psych, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mdspcashiny_0.1.0-1.ca2004.1_all.deb
Size: 70040
MD5sum: 55a754b1cfb048796a72c36f9cf4e442
SHA1: 7e15c8018bc89ca879371ca1e4acd3d1dde54633
SHA256: 6c1d5333c50710df72c822ff768913b119f70c36d3146998d490dbeae7a8ed32
SHA512: 9c1d59fe781842e3eb3aab23370bc7054a48a767ced482a983b4aac3a1a0bcbbda6a9d80bc7d04d9b4465780af901db6846695e4ffe7936742a394c81cd2e782
Homepage: https://cran.r-project.org/package=MDSPCAShiny
Description: CRAN Package 'MDSPCAShiny' (Interactive Document for Working with Multidimensional Scalingand Principal Component Analysis)
 An interactive document on the topic of multidimensional scaling and
 principal component analysis using 'rmarkdown' and 'shiny' packages. Runtime
 examples are provided in the package function as well as at
 <https://kartikeyabolar.shinyapps.io/MDS_PCAShiny/>.

Package: r-cran-mdsr
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4778
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-babynames, r-cran-dbi, r-cran-dbplyr, r-cran-downloader, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-kableextra, r-cran-rmariadb, r-cran-skimr, r-cran-stringr, r-cran-tibble, r-cran-webshot2
Suggests: r-cran-etl, r-cran-knitr, r-cran-lahman, r-cran-leaflet, r-cran-lubridate, r-cran-macleish, r-cran-mosaic, r-cran-mosaicdata, r-cran-nycflights13, r-cran-nycflights23, r-cran-sf, r-cran-testthat, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-mdsr_0.2.8-1.ca2004.1_all.deb
Size: 4848884
MD5sum: 7e5aec6416f59d19a607b88d438c0fc4
SHA1: 6bfe7f8a9b781f8035a75921ce06dda42ce76eaf
SHA256: 27f1dcbc26ab5177adc65fd87570bbc56e77c18f93881b5a5e4322edee5f9b8c
SHA512: f64a94a742d72b44695ec635676fcbea1222fb2773f5567b70b4f611efb0109da11d0fb50ebee33be2cd835e155b3fb7e93945819fc60b071516ac34379aa7f5
Homepage: https://cran.r-project.org/package=mdsr
Description: CRAN Package 'mdsr' (Complement to 'Modern Data Science with R')
 A complement to all editions of *Modern Data Science with R* (ISBN:
 978-0367191498, publisher URL:
 <https://www.routledge.com/Modern-Data-Science-with-R/Baumer-Kaplan-Horton/p/book/9780367191498>).
 This package contains data and code to complete exercises and reproduce
 examples from the text. It also facilitates connections to the SQL database
 server used in the book. All editions of the book are supported by this
 package.

Package: r-cran-mdss
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mdss_1.0-1-1.ca2004.1_all.deb
Size: 87756
MD5sum: cbc8229549f61231a9d706e2edfba2fe
SHA1: 198143499ffaa4f1653f28e91c842c78023b0109
SHA256: 54bd802414e36e4fba14b3e0678d182d94cb90042aaef0914667606870636404
SHA512: e0ff5e1f2ff8ab14dd766252b48cb293178f4723e45ebe26933d871fbe9143d322fa5bd90848f51b7eeb388a87fc24772a3be99a7fe2c2649b837eec4597b5d8
Homepage: https://cran.r-project.org/package=MDSS
Description: CRAN Package 'MDSS' (Modeling Human Dentin Serial Sectioning)
 Modeling microstructures of human tooth dentin and horizontal
 serial-sectioning of the dentin.  Corresponding age range of dentin serial
 sections, that is used in stable isotope analyses, can be calculated by
 using this package.

Package: r-cran-mdthemes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-hrbrthemes, r-cran-ggplot2, r-cran-ggtext, r-cran-ggthemes, r-cran-tvthemes
Suggests: r-cran-glue
Filename: pool/dists/focal/main/r-cran-mdthemes_0.1.0-1.ca2004.1_all.deb
Size: 54596
MD5sum: cef0b976efb50ecf97734fc69f4282b7
SHA1: 6f21771f424e90f32f5a3e902ba79ed991fa5e5c
SHA256: e98fbc35b354b0077ac4a41c76b036c2adb37edf45cb53b256611feaa0e4807d
SHA512: 965b3bc9a500247942609824624055105998255d269ae7d340e80600f7fca04d4dc7e4189bb449bfd232105bbdbc11d421ae4b9e6fdcf0e6b2805bc5c85394e9
Homepage: https://cran.r-project.org/package=mdthemes
Description: CRAN Package 'mdthemes' (Markdown Themes for 'ggplot2')
 A collection of 'ggplot2' themes that render text as markdown/HTML. This
 enables the creation of complex formatted plot labels, e.g. titles with
 individual words highlighted in different colors.

Package: r-cran-mdw
Architecture: all
Version: 2024.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kyotil, r-cran-mass, r-cran-matrix
Suggests: r-cran-r.rsp, r-cran-runit, r-cran-rmosek, r-cran-mvtnorm, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-mdw_2024.8-1-1.ca2004.1_all.deb
Size: 84128
MD5sum: 6fe6109ad4adae2cca830474b080021a
SHA1: ec326aa93e2b34bdcfcb198d8bf5c8ce4794e867
SHA256: 58bfc800982fe078182fbf4559f06c4b0d2647656369e40349421dd46401eb42
SHA512: 580f59a95769f40082719a4cc2716c45bb82b71b452412a7e68a47c525abb20c2fce0930f5a190798e1237db398c47e036d3ae99eb6c21330bcfac32b4b6ce8d
Homepage: https://cran.r-project.org/package=mdw
Description: CRAN Package 'mdw' (Maximum Diversity Weighting)
 Dimension-reduction methods aim at defining a score that maximizes signal
 diversity. Three approaches, tree weight, maximum entropy weights, and
 maximum variance weights are provided. These methods are described in He and
 Fong (2019) <DOI:10.1002/sim.8212>.

Package: r-cran-meaanalysis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1132
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-janitor, r-cran-kableextra, r-cran-knitr, r-cran-readr, r-cran-readxl, r-cran-reshape2, r-cran-stringr, r-cran-tidyr, r-cran-tidyverse
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-meaanalysis_0.1.0-1.ca2004.1_all.deb
Size: 557396
MD5sum: a3950470b8292766b4c6a6b1f3dc4acd
SHA1: 16f738f3630d84222ea5f9c5b1001e6333291d9b
SHA256: 65f65d42bdc5b7cd7e27283a4e8ba56c3d69e9a79cbc3830f193fb510d325804
SHA512: aea0ea5f6b35ad764c0ce13216c69ed3eb7a463cdb63627dff55f9a3cb42b000296b04dd9095a76b1a1dd0e0fd59e344e79fe9741d7f956d93a5e23a89823147
Homepage: https://cran.r-project.org/package=MEAanalysis
Description: CRAN Package 'MEAanalysis' (Analyse and Visualise Multi Electrode Array Burst Data)
 Analyse and visualise multi electrode array data at the single electrode and
 whole well level, downstream of 'AxIS Navigator 3.6.2 Software' processing.
 Compare bursting parameters between time intervals and recordings using the
 bar chart visualisation functions. Compatible with 12- and 24- well plates.

Package: r-cran-meantables
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-meantables_0.1.2-1.ca2004.1_all.deb
Size: 200716
MD5sum: 79d8f52b100e81e358064011a7145a2b
SHA1: c8876b97e82dcb5b19d30df9e7ce5e0508d1acc3
SHA256: a77bd4902973f0c1d46594dae60c1539a9f4e4b58836e14b8ab140f460aedfc2
SHA512: 2127acf1a982944f2f0459cd475c18a0492a593aee1451d91c71aedd426af33ccce08b117713d15ec96c715eb303e4136ab09f4c188a318fd2b03933753ac9ca
Homepage: https://cran.r-project.org/package=meantables
Description: CRAN Package 'meantables' (Make Quick Descriptive Tables for Continuous Variables)
 Quickly make tables of descriptive statistics (i.e., counts, means,
 confidence intervals) for continuous variables. This package is designed to
 work in a Tidyverse pipeline, and consideration has been given to get
 results from R to 'Microsoft Word' ® with minimal pain.

Package: r-cran-measurementprotocol
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-httr, r-cran-jsonlite, r-cran-rappdirs
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-measurementprotocol_0.1.1-1.ca2004.1_all.deb
Size: 55412
MD5sum: 03e3dcea5e74403bab2aa5bf3c46e109
SHA1: 7c4c84040b0445192102081302bf6405cf6431a3
SHA256: d2fa1d5f9e9074e57c9f1e7b55d8cfc5ca6b56c879282f419b0f4392c6f2d524
SHA512: 9a36f3dda17b855cb11d860adf09e0a3468f982921a00227eaad15913e36f6fb721c73ea3490bc67d92fd8fa301e05bf453344d39edf23f9c2e0ae17c08d8478
Homepage: https://cran.r-project.org/package=measurementProtocol
Description: CRAN Package 'measurementProtocol' (Send Data from R to the Measurement Protocol)
 Send server-side tracking data from R.  The Measurement Protocol version 2
 <https://developers.google.com/analytics/devguides/collection/protocol/ga4>
 allows sending HTTP tracking events from R code.

Package: r-cran-measurements
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-measurements_1.5.1-1.ca2004.1_all.deb
Size: 35096
MD5sum: 3af3c5a195d01211ff8c980f30093909
SHA1: 6605a55547bb973301dd07da3b74d8c25fb721ef
SHA256: 1e52a5adf5ef4549def4eb125fce7dbbb4083e6a5e050d487001180f4b84167b
SHA512: e4d8585993c1e0ce197cc29e0e527f78a09b48c4e22e5c20f8cb783e51212e8bfba32bc2c25216800fec0603b28acd4b6862885ad1f6ec6a672400b897607989
Homepage: https://cran.r-project.org/package=measurements
Description: CRAN Package 'measurements' (Tools for Units of Measurement)
 Collection of tools to make working with physical measurements easier.
 Convert between metric and imperial units, or calculate a dimension's
 unknown value from other dimensions' measurements.

Package: r-cran-measures
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-measures_0.3-1.ca2004.1_all.deb
Size: 114716
MD5sum: c8e9f8dc075eb56dec20f5e639d94472
SHA1: 8ab4dcf3efd30861f3d302838c6cd97512550aa7
SHA256: 7f679dbebf612721c3cee8e9a398065b1c5c285da77c2266ce72aa0d6be24159
SHA512: 384c7e21db664e99a88785e870676f64e5b9aafc279bcdc40e0d6770e1d7f85f5faf3b94e95e4744e5bbf0a4b39c8dd2f935311df18603ed040ca2878da9c18b
Homepage: https://cran.r-project.org/package=measures
Description: CRAN Package 'measures' (Performance Measures for Statistical Learning)
 Provides the biggest amount of statistical measures in the whole R world.
 Includes measures of regression, (multiclass) classification and multilabel
 classification. The measures come mainly from the 'mlr' package and were
 programed by several 'mlr' developers.

Package: r-cran-measuring
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1708
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pastecs, r-cran-png, r-cran-tiff, r-cran-dplr
Filename: pool/dists/focal/main/r-cran-measuring_0.5.1-1.ca2004.1_all.deb
Size: 861148
MD5sum: bf181fde4d9c18ddbda76410b8eaecf5
SHA1: d63d3141965b7e3e7473199d6ed50edf24ee55dd
SHA256: 7fa2a0a2c6eece800655d76326af3938ec8b2dcb00d7d4f57ccb8a9e15c1cc65
SHA512: 11bdb74653a7348f596453a1061ed59b17e9701f2212ce62d16c69d72f7205422ea597326d1aba640e3e9fd60f1a05f2e95407268e29847c09dcafad2f1884c8
Homepage: https://cran.r-project.org/package=measuRing
Description: CRAN Package 'measuRing' (Detection and Control of Tree-Ring Widths on Scanned ImageSections)
 Identification of ring borders on scanned image sections from
 dendrochronological samples. Processing of image reflectances to produce
 gray matrices and time series of smoothed gray values. Luminance data is
 plotted on segmented images for users to perform both: visual identification
 of ring borders or control of automatic detection. Routines to visually
 include/exclude ring borders on the R graphical devices, or automatically
 detect ring borders using a linear detection algorithm. This algorithm
 detects ring borders according to positive/negative extreme values in the
 smoothed time-series of gray values. Most of the in-package routines can be
 recursively implemented using the multiDetect() function.

Package: r-cran-mecfda
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1319
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lme4, r-cran-quantreg, r-cran-dplyr, r-cran-mass, r-cran-matrix, r-cran-gss, r-cran-corpcor, r-cran-fda, r-cran-magrittr, r-cran-nlme, r-cran-glme, r-cran-mgcv, r-cran-refund, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mecfda_0.2.1-1.ca2004.1_all.deb
Size: 1095032
MD5sum: 4f09b775bed5c1ab6e9e7cd69ec466c6
SHA1: 6c7416adc595dd5a8b5b3c95c277a0f84f58d88c
SHA256: 4f15b16a147d584793cacc5f8f871dba661ace77da68415cad859eef3e09df2b
SHA512: 64ce1c0544c27775c41652e98a23b14e1da8def47ff41dd1da92a0b86389f14e36c9214e2cc21a0275c0c85150e7178d2986ab97c05295aa4f1435ec09c938bf
Homepage: https://cran.r-project.org/package=MECfda
Description: CRAN Package 'MECfda' (Scalar-on-Function Regression with Measurement Error Correction)
 Solve scalar-on-function linear models, including generalized linear mixed
 effect model and quantile linear regression model, and bias correction
 estimation methods due to measurement error.  Details about the measurement
 error bias correction methods, see Luan et al. (2023)
 <doi:10.48550/arXiv.2305.12624>, Tekwe et al. (2022)
 <doi:10.1093/biostatistics/kxac017>, Zhang et al. (2023)
 <doi:10.5705/ss.202021.0246>, Tekwe et al. (2019) <doi:10.1002/sim.8179>.

Package: r-cran-meclustnet
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-nnet, r-cran-ellipse, r-cran-latentnet, r-cran-vegan, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-meclustnet_1.2.2-1.ca2004.1_all.deb
Size: 101268
MD5sum: 7437daee82535c138778efda4276597f
SHA1: 218ce3e8e5d4e4005f4ba7ed669917e2a7d7240c
SHA256: 5cdf62ad585285e98304a3b7c8965e6b5b1ad9e7bd9498e181c7f04cbe99b4ae
SHA512: 8a028317e11d391c6609341b748a44cad7fba41d0c4ce5f813825d777189c62692bfcef6df405afa10dde18143617ac1cf521d1ad22d89cc3baca834230743eb
Homepage: https://cran.r-project.org/package=MEclustnet
Description: CRAN Package 'MEclustnet' (Fit the Mixture of Experts Latent Position Cluster Model toNetwork Data)
 Functions to facilitate model-based clustering of nodes in a network in a
 mixture of experts setting, which incorporates covariate information on the
 nodes in the modelling process. Isobel Claire Gormley and Thomas Brendan
 Murphy (2010) <doi:10.1016/j.stamet.2010.01.002>.

Package: r-cran-meconetcomp
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2898
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-microeco, r-cran-magrittr, r-cran-dplyr, r-cran-igraph, r-cran-reshape2, r-cran-ggpubr, r-cran-ggplot2
Suggests: r-cran-rgexf, r-cran-ape, r-cran-file2meco, r-cran-agricolae
Filename: pool/dists/focal/main/r-cran-meconetcomp_0.6.1-1.ca2004.1_all.deb
Size: 2868032
MD5sum: 6770e6422c64562509e00c2d0600bf00
SHA1: b84e397640030d0785ad37dd953f8acf0ea18dca
SHA256: 7963c83bb1074ff68069524291efbe2d0d29abbb147250db1528cd0d0b597f7c
SHA512: e6da2ca074d4e734b5fc57c26bb0ff69e173750b8269da945ad4be4ae97d4cc1f102291b3b1a4c34f10276b916bc0648e27a8b16639d2437422865e9f40359c2
Homepage: https://cran.r-project.org/package=meconetcomp
Description: CRAN Package 'meconetcomp' (Compare Microbial Networks of 'trans_network' Class of'microeco' Package)
 Compare microbial co-occurrence networks created from 'trans_network' class
 of 'microeco' package <https://github.com/ChiLiubio/microeco>.  This package
 is the extension of 'trans_network' class of 'microeco' package and
 especially useful when different networks are constructed and analyzed
 simultaneously.

Package: r-cran-mecor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-lmertest, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mecor_1.0.0-1.ca2004.1_all.deb
Size: 412600
MD5sum: b84a24ae9b1943ef6fbef1f1891152d0
SHA1: 380f0089adb42222651406d67275b5d020bed669
SHA256: 95fd7b3f4134a6b38e97cef848575b65cf300bce3ddd0e24223200d3890b7a85
SHA512: f1a96ab9f9f51b9a97b5f2f8e1a20205233f04e5c349b05361c224cc694f3c38d90fb9b4dd5360d09cf73cffbd0698245dcbf6f1b1929dd16f526eb5de2c2f6a
Homepage: https://cran.r-project.org/package=mecor
Description: CRAN Package 'mecor' (Measurement Error Correction in Linear Models with a ContinuousOutcome)
 Covariate measurement error correction is implemented by means of regression
 calibration by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006,
 ISBN:1584886331), efficient regression calibration by Spiegelman D, Carroll
 RJ & Kipnis V (2001)
 <doi:10.1002/1097-0258(20010115)20:1%3C139::AID-SIM644%3E3.0.CO;2-K> and
 maximum likelihood estimation by Bartlett JW, Stavola DBL & Frost C (2009)
 <doi:10.1002/sim.3713>. Outcome measurement error correction is implemented
 by means of the method of moments by Buonaccorsi JP (2010, ISBN:1420066560)
 and efficient method of moments by Keogh RH, Carroll RJ, Tooze JA,
 Kirkpatrick SI & Freedman LS (2014) <doi:10.1002/sim.7011>. Standard error
 estimation of the corrected estimators is implemented by means of the Delta
 method by Rosner B, Spiegelman D & Willett WC (1990)
 <doi:10.1093/oxfordjournals.aje.a115715> and Rosner B, Spiegelman D &
 Willett WC (1992) <doi:10.1093/oxfordjournals.aje.a116453>, the Fieller
 method described by Buonaccorsi JP (2010, ISBN:1420066560), and the
 Bootstrap by Carroll RJ, Ruppert D, Stefanski LA & Crainiceanu CM (2006,
 ISBN:1584886331).

Package: r-cran-mecoturn
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1223
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-ggplot2, r-cran-microeco, r-cran-gunifrac, r-cran-magrittr, r-cran-ggpubr, r-cran-lmertest, r-cran-betareg, r-cran-glmmtmb
Suggests: r-cran-ape, r-cran-agricolae
Filename: pool/dists/focal/main/r-cran-mecoturn_0.3.0-1.ca2004.1_all.deb
Size: 1139292
MD5sum: 38e68cbacd5f361baf38a5338c3fcb3d
SHA1: be2b13da2c5fcb7791ec4c49560e9773a6d4ee87
SHA256: 2b0d6786879e6b6c05b360f9eea4921c923f5a5b00fd71003c5ee431bb36b940
SHA512: 65a549aeac6be40e41cca74f856bda7a09dd1ac71c2962fd6fd5cb47c4108b91e2c7fe8d580b0ce229a863ee63196e05882cafc9d7632217c280f79a8791245a
Homepage: https://cran.r-project.org/package=mecoturn
Description: CRAN Package 'mecoturn' (Decipher Microbial Turnover along a Gradient)
 Two pipelines are provided to study microbial turnover along a gradient,
 including the beta diversity and microbial abundance change. The 'betaturn'
 class consists of the steps of community dissimilarity matrix generation,
 matrix conversion, differential test and visualization. The workflow of
 'taxaturn' class includes the taxonomic abundance calculation, abundance
 transformation, abundance change summary, statistical analysis and
 visualization. Multiple statistical approaches can contribute to the
 analysis of microbial turnover.

Package: r-cran-med
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-med_0.1.0-1.ca2004.1_all.deb
Size: 44044
MD5sum: 641c4d9a5655125abe338b43fa06b18a
SHA1: 95dd93d0816e28c29c2aa56abd8ac56b67a93593
SHA256: fc26a95e1d68a2456113460d923c510bb21ad89500ceb3e06ed1167eccea220c
SHA512: 82193cd04042afdcac758fc00f5e0ee9212154a667c6cdc9b21328a02db4a15806acf8d334ccab99d807c944f5fd41e428c035264cb526d8b85b65e1163e5897
Homepage: https://cran.r-project.org/package=MED
Description: CRAN Package 'MED' (Mediation by Tilted Balancing)
 Nonparametric estimation and inference for natural direct and indirect
 effects by Chan, Imai, Yam and Zhang (2016) <arXiv:1601.03501>.

Package: r-cran-meddatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3618
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-meddatasets_0.1.0-1.ca2004.1_all.deb
Size: 1874572
MD5sum: 92b4241100563ce5e55d111681a4d5ea
SHA1: ab91339cac7c8acae03264ab89b03e55af641b57
SHA256: 0cebebad355030ef4eb4d91fcec202d02606c677601a838d4ec0e227cd70d2f6
SHA512: 9a705aa4e1f54c2cc65a3afc4436b7c7dd4e57418fd2d2f81592f580abd5e05f88e7c649b1b7fb35d2cb5aaf30c15ac1fefbe62f6657fe1d73006f04f1d54a7f
Homepage: https://cran.r-project.org/package=MedDataSets
Description: CRAN Package 'MedDataSets' (Comprehensive Medical, Disease, Treatment, and Drug Datasets)
 Provides an extensive collection of datasets related to medicine, diseases,
 treatments, drugs, and public health. This package covers topics such as
 drug effectiveness, vaccine trials, survival rates, infectious disease
 outbreaks, and medical treatments. The included datasets span various health
 conditions, including AIDS, cancer, bacterial infections, and COVID-19,
 along with information on pharmaceuticals and vaccines. These datasets are
 sourced from the R ecosystem and other R packages, remaining unaltered to
 ensure data integrity. This package serves as a valuable resource for
 researchers, analysts, and healthcare professionals interested in conducting
 medical and public health data analysis in R.

Package: r-cran-meddietcalc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-meddietcalc_0.1.1-1.ca2004.1_all.deb
Size: 301592
MD5sum: 01ad7436b88e265ff61989fd1e3a0924
SHA1: a0f75100a6d55496c814f07c31193061a64b5dfb
SHA256: f1260355bf72a04819f5987ee8f361cf439907c1599a7c87401b6170f07003df
SHA512: 027802560b48477717f7fe0a88ec3855c892e6094f7d63933952660b40346d2d0916377d13e62c3221afa1bc466274fc1b9fafbbc9d375f472fa2c8d0697967f
Homepage: https://cran.r-project.org/package=MedDietCalc
Description: CRAN Package 'MedDietCalc' (Multi Calculator to Compute Scores of Adherence to MediterraneanDiet)
 Multi Calculator of different scores to measure adherence to Mediterranean
 Diet, to compute them in nutriepidemiological data. Additionally, a sample
 dataset of this kind of data is provided, and some other minor tools useful
 in epidemiological studies.

Package: r-cran-meddra.read
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-meddra.read_0.0.1-1.ca2004.1_all.deb
Size: 16968
MD5sum: c7caf65cf0461a37c79836bd6bb0ae72
SHA1: 5a3c94772a541be35f314be0dd8778fb62134cbe
SHA256: dc19c1074ffba4e590c82f0f185cf9c61758ac5710c7544c31e2c15543ea74d3
SHA512: aa5d85616f36c6a9a48a89c6b1bd5143bc35a66cae745877a8a9dc7e55105b64438c07bdfc15a05010a1bed7ac02fd31b9e9afb6d4cc65365240f4dcfcceba87
Homepage: https://cran.r-project.org/package=meddra.read
Description: CRAN Package 'meddra.read' (Load and Use 'MedDRA' Data for Clinical Trials)
 'MedDRA' data is used for defining adverse events in clinical studies. You
 can load and merge the data for use in categorizing the adverse events using
 this package. The package requires the data licensed from 'MedDRA'
 <https://www.meddra.org/>.

Package: r-cran-mederrrank
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bb, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-mederrrank_0.1.0-1.ca2004.1_all.deb
Size: 296740
MD5sum: 5a3c67931b69284d7f737db5ac16785d
SHA1: af75e378e31f6821649b49716933e8a46162bc22
SHA256: 1415ad953c5aacc5724af6ed0be52fc1892150c1b5b2a6c129c2a21590e27378
SHA512: 866709c76ef5f1060856f9570d34509df9957e0f2484e95a7d385edadda87637870e7b2a2021ca916ad9047fc54ea08b45c530cb211e92b7cf820b9d9d9e8daa
Homepage: https://cran.r-project.org/package=mederrRank
Description: CRAN Package 'mederrRank' (Bayesian Methods for Identifying the Most Harmful MedicationErrors)
 Two distinct but related statistical approaches to the problem of
 identifying the combinations of medication error characteristics that are
 more likely to result in harm are implemented in this package: 1) a Bayesian
 hierarchical model with optimal Bayesian ranking on the log odds of harm,
 and 2) an empirical Bayes model that estimates the ratio of the observed
 count of harm to the count that would be expected if error characteristics
 and harm were independent. In addition, for the Bayesian hierarchical model,
 the package provides functions to assess the sensitivity of results to
 different specifications of the random effects distributions.

Package: r-cran-medesigns
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-medesigns_1.0.1-1.ca2004.1_all.deb
Size: 41884
MD5sum: 58dd4f4894ec3c4f3cb95edd9a3562dc
SHA1: 28656b28de8bbaaf9d3c304b53a505adbf868a27
SHA256: 12a27a4bbdb026c80052ff7761207fc1b1ff15d744b07eb7d08ad447f070bc8a
SHA512: 8037423e87d79c5019f17302e9f504b7f8ba933077fc6c67d2843e81b680c51b9a5f8ba3c9188b6c97f6ceb2d15f94d43ca849ebf28d3e27552670cff047bb6d
Homepage: https://cran.r-project.org/package=MEDesigns
Description: CRAN Package 'MEDesigns' (Mating Environmental Designs)
 In breeding experiments, mating environmental (ME) designs are very popular
 as mating designs are directly implemented in the field environment using
 block or row-column designs. Here, three functions are given related to
 three new methods which will generate mating diallel cross designs
 (Hinkelmann and Kempthorne, 1963<doi:10.2307/2333899>) or mating
 environmental (ME) designs along with design parameters, C matrix,
 eigenvalues (EVs), degree of fractionations (DF) and canonical efficiency
 factor (CEF). Another one function is added to check the properties of a
 given ME diallel cross design.

Package: r-cran-medextractr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1596
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringi, r-cran-stringr
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-medextractr_0.4.1-1.ca2004.1_all.deb
Size: 1457108
MD5sum: 143c5e8ccc5d06cbf741e760c60539ac
SHA1: 0079c7cbd26bf7405ed10e38ab7874541ec329f7
SHA256: aded3e8becb2bdbf1872d1ae80718d82adfc0009b1bd017bda289c6547372c61
SHA512: 4364a62b36f315c963bfe9aa0b819b76d1c85590bf3f45e650bd229d0aaf00b5f173afd9dc759000e24c10a489c7c66a754b56b1f32deafe39341befe35a3b07
Homepage: https://cran.r-project.org/package=medExtractR
Description: CRAN Package 'medExtractR' (Extraction of Medication Information from Clinical Text)
 Function and support for medication and dosing information extraction from
 free-text clinical notes. Medication entities for the basic medExtractR
 implementation that can be extracted include drug name, strength, dose
 amount, dose, frequency, intake time, dose change, and time of last dose.
 The basic medExtractR is outlined in Weeks, Beck, McNeer, Williams, Bejan,
 Denny, Choi (2020) <doi: 10.1093/jamia/ocz207>. The extended
 medExtractR_tapering implementation is intended to extract dosing
 information for more tapering schedules, which are far more complex. The
 tapering extension allows for the extraction of additional entities
 including dispense amount, refills, dose schedule, time keyword, transition,
 and preposition.

Package: r-cran-medflex
Architecture: all
Version: 0.6-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 791
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-multcomp, r-cran-boot, r-cran-car, r-cran-matrix, r-cran-sandwich
Suggests: r-cran-arm, r-cran-gam, r-cran-glmnet, r-cran-mice, r-cran-mitools, r-cran-rpart, r-cran-superlearner, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-medflex_0.6-10-1.ca2004.1_all.deb
Size: 640316
MD5sum: 33efbdd986a00f3cc90e8357b725a893
SHA1: f190d77fdc8d30ffeb52d2c6b712be76b810bd5e
SHA256: cedb14d7bb12a76724f4198d88df8899d6b8807f0f47913a0930340d0f7f6f1a
SHA512: 9499cd99e3c90740fe90874559487975175c563a41275faca1ba14aea4c541fae047fab51e60196c0ce944716d4d267f5fffebbf881899473e925b34b649c50b
Homepage: https://cran.r-project.org/package=medflex
Description: CRAN Package 'medflex' (Flexible Mediation Analysis Using Natural Effect Models)
 Run flexible mediation analyses using natural effect models as described in
 Lange, Vansteelandt and Bekaert (2012) <DOI:10.1093/aje/kwr525>,
 Vansteelandt, Bekaert and Lange (2012) <DOI:10.1515/2161-962X.1014> and
 Loeys, Moerkerke, De Smet, Buysse, Steen and Vansteelandt (2013)
 <DOI:10.1080/00273171.2013.832132>.

Package: r-cran-mediacloudr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mediacloudr_0.1.0-1.ca2004.1_all.deb
Size: 32024
MD5sum: 07308675c9ce67bb9f9103063d1c0279
SHA1: 20eae037d0c349a59a9d4e2e4bb15a64a58b0aa8
SHA256: fc152a83adb602d8332c0030f189c624f99523eda6a299ca98ed36f0092f8a46
SHA512: d241e12a179e9c9719d5d9964fe0cfa5868fe8e8b84b62c489b72a5ebd7486691e5c3d961fa4e7594fb20ce8ad515e04f50c9c1be31cf2965f0864ea81147471
Homepage: https://cran.r-project.org/package=mediacloudr
Description: CRAN Package 'mediacloudr' (Wrapper for the 'mediacloud.org' API)
 API wrapper to gather news stories, media information and tags from the
 'mediacloud.org' API, based on a multilevel query <https://mediacloud.org/>.
 A personal API key is required.

Package: r-cran-mediana
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-foreach, r-cran-mass, r-cran-mvtnorm, r-cran-survival
Suggests: r-cran-flextable, r-cran-knitr, r-cran-officer, r-cran-rmarkdown, r-cran-pander
Filename: pool/dists/focal/main/r-cran-mediana_1.0.8-1.ca2004.1_all.deb
Size: 612152
MD5sum: 4889f1cedcf6e2e31bf8c512703b174c
SHA1: a391ccfebb91da6f4399b737e526de50be13d362
SHA256: f94cc511ea2e18844d221e6f509baa1721398aefc43fb0ed901c8511600ca8eb
SHA512: 26e92b51bc4a038245857eddff89ae12e482cbd7a364105cd5e75a8e9bf61d93692c6ac58567ab524e2ab6c4341e64845f261d63a2658695ed6c185e643598f1
Homepage: https://cran.r-project.org/package=Mediana
Description: CRAN Package 'Mediana' (Clinical Trial Simulations)
 Provides a general framework for clinical trial simulations based on the
 Clinical Scenario Evaluation (CSE) approach. The package supports a broad
 class of data models (including clinical trials with continuous, binary,
 survival-type and count-type endpoints as well as multivariate outcomes that
 are based on combinations of different endpoints), analysis strategies and
 commonly used evaluation criteria.

Package: r-cran-mediatep
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-mediatep_0.2.0-1.ca2004.1_all.deb
Size: 112344
MD5sum: cb05ba09bddc85450d822173652473bf
SHA1: e83ac7a8d0180647f7aea70c19cff359517dec2f
SHA256: ef26cb9329053f102a79ceb3d242654416ea87cd94e79215c72a38b6f24db757
SHA512: 4543a95bc5394a6760f4e5c074f49c5ed463c03b968880c7659c2aa60a43dd765070de20adbf752be8fc34697ca15302f284f8fc72bdf07b8063a80e55e853ef
Homepage: https://cran.r-project.org/package=mediateP
Description: CRAN Package 'mediateP' (Mediation Analysis Based on the Product Method)
 Functions for calculating the point and interval estimates of the natural
 indirect effect (NIE), total effect (TE), and mediation proportion (MP),
 based on the product approach. We perform the methods considered in Cheng,
 Spiegelman, and Li (2021) Estimating the natural indirect effect and the
 mediation proportion via the product method.

Package: r-cran-mediation
Architecture: all
Version: 4.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1434
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-mvtnorm, r-cran-sandwich, r-cran-lpsolve, r-cran-hmisc, r-cran-lme4, r-cran-boot
Suggests: r-cran-mgcv, r-cran-quantreg, r-cran-vgam, r-cran-suppdists, r-cran-survival, r-cran-testthat, r-cran-speedglm
Filename: pool/dists/focal/main/r-cran-mediation_4.5.1-1.ca2004.1_all.deb
Size: 1212416
MD5sum: 355f24ec9990083fd871711b8c5999c4
SHA1: 3c7a8e816126236513869be590c1f6da5409735b
SHA256: d8ed24f26577c5eaf108a71cf5176632a47c020d8a1ace6c3ec22d968014f45a
SHA512: c8fd3f74580e0690ae46681c0bdd3aa6e9e0cc238669296e2204549a9064d70c9b6276acf8365453130214ddefde9d9a1d78c8a1a02823c89b81c898b9491aca
Homepage: https://cran.r-project.org/package=mediation
Description: CRAN Package 'mediation' (Causal Mediation Analysis)
 We implement parametric and non parametric mediation analysis. This package
 performs the methods and suggestions in Imai, Keele and Yamamoto (2010)
 <DOI:10.1214/10-STS321>, Imai, Keele and Tingley (2010)
 <DOI:10.1037/a0020761>, Imai, Tingley and Yamamoto (2013)
 <DOI:10.1111/j.1467-985X.2012.01032.x>, and Imai and Yamamoto (2013)
 <DOI:10.1093/pan/mps040>. In addition to the estimation of causal mediation
 effects, the software also allows researchers to conduct sensitivity
 analysis for certain parametric models.

Package: r-cran-mediationsens
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mediation, r-cran-distr
Filename: pool/dists/focal/main/r-cran-mediationsens_0.0.3-1.ca2004.1_all.deb
Size: 89224
MD5sum: 58c3bdbd4175793fed75002f4060ec2b
SHA1: eb0a9c5bc2a4957c77dadb67b3e0939a415cdc29
SHA256: 8a394590b7d4423b20919fcdda96f78c77e0afb3e2c0d886ff101c18376aaefa
SHA512: da30e0fa6b1b7769a0356d798fe7fbe45d40cc1af7a264f6d846198d1611a66462fe7beca60681d470f8bd647014b9c458c5891a0ea36c4814abc8287667a149
Homepage: https://cran.r-project.org/package=mediationsens
Description: CRAN Package 'mediationsens' (Simulation-Based Sensitivity Analysis for Causal MediationStudies)
 Simulation-based sensitivity analysis for causal mediation studies. It
 numerically and graphically evaluates the sensitivity of causal mediation
 analysis results to the presence of unmeasured pretreatment confounding. The
 proposed method has primary advantages over existing methods.  First, using
 an unmeasured pretreatment confounder conditional associations with the
 treatment, mediator, and outcome as sensitivity parameters, the method
 enables users to intuitively assess sensitivity in reference to prior
 knowledge about the strength of a potential unmeasured pretreatment
 confounder. Second, the method accurately reflects the influence of
 unmeasured pretreatment confounding on the efficiency of estimation of the
 causal effects. Third, the method can be implemented in different causal
 mediation analysis approaches, including regression-based, simulation-based,
 and propensity score-based methods. It is applicable to both randomized
 experiments and observational studies.

Package: r-cran-medicaldata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 713
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-learnr
Filename: pool/dists/focal/main/r-cran-medicaldata_0.2.0-1.ca2004.1_all.deb
Size: 664980
MD5sum: b1b32af6fa6a03e7fcf4b1cef92e7b58
SHA1: eced8a3bfc1639fa10f06975e4ec2dcd0c603257
SHA256: 924458136a16928a4ec5dc89043c8e7c7173e9d0a310d95201a78a8ce265d4ed
SHA512: 5ca49c3eaeccb376bab338559192a09b3249c6e45bfd90b4f44464ee39b19ed1c3b3d5b799d676a8d744c64b7f0594e3a901f524c2df0617df411b9f6c567eba
Homepage: https://cran.r-project.org/package=medicaldata
Description: CRAN Package 'medicaldata' (Data Package for Medical Datasets)
 Provides access to well-documented medical datasets for teaching.  Featuring
 several from the Teaching of Statistics in the Health Sciences website
 <https://www.causeweb.org/tshs/category/dataset/>, a few reconstructed
 datasets of historical significance in medical research, some reformatted
 and extended from existing R packages, and some data donations.

Package: r-cran-medicalrisk
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-reshape2, r-cran-hash
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-medicalrisk_1.3-1.ca2004.1_all.deb
Size: 342008
MD5sum: b97888f576dba3593f0bbebd2c1c14d5
SHA1: 64fb6eb1ce7a927496dc04dd48e2418a12b706bc
SHA256: a940d1fb087fd8315219e9e4a27c1cd47485386b2252d4d8fa9bd681a2ae0b04
SHA512: d1dce5b65980e51b25f5a427331f86207b5db0a8d8f676c8474fc6b4ca043c905bca70433828fffc34030f9bcc90ca7492d052138e3ba1f672e8f0d938224f5a
Homepage: https://cran.r-project.org/package=medicalrisk
Description: CRAN Package 'medicalrisk' (Medical Risk and Comorbidity Tools for ICD-9-CM Data)
 Generates risk estimates and comorbidity flags from ICD-9-CM codes available
 in administrative medical datasets. The package supports the Charlson
 Comorbidity Index, the Elixhauser Comorbidity classification, the Revised
 Cardiac Risk Index, and the Risk Stratification Index.  Methods are
 table-based, fast, and use the 'plyr' package, so parallelization is
 possible for large jobs. Also includes a sample of real ICD-9 data for 100
 patients from a publicly available dataset.

Package: r-cran-medicare
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2144
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-maps, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-medicare_0.2.1-1.ca2004.1_all.deb
Size: 1008784
MD5sum: 4878ec3afdd56b86d353c0053570f520
SHA1: 321e502a0f3aa6db9d5ea698a44af6b816f478ed
SHA256: 5ca1640f8e166ff4c13fe8129d6974baec8a0c47519240c5a706f4e206018ff5
SHA512: 26ea6f9e507c8655d3c704b940b7a3f53e0e92dbc4d8917ad30e6601d65aa123c61d29b770c61c057a21f33be000d99c63e80cb857d20cbad58f90528a40efe3
Homepage: https://cran.r-project.org/package=medicare
Description: CRAN Package 'medicare' (Tools for Obtaining and Cleaning Medicare Public Use Files)
 Publicly available data from Medicare frequently requires extensive initial
 effort to extract desired variables and merge them; this package formalizes
 the techniques I've found work best. More information on the Medicare
 program, as well as guidance for the publicly available data this package
 targets, can be found on CMS's website covering publicly available data. See
 <https://www.cms.gov/Research-Statistics-Data-and-Systems/Research-Statistics-Data-and-Systems.html>.

Package: r-cran-meditate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2044
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-audio, r-cran-checkmate, r-cran-deldir, r-cran-wesanderson
Suggests: r-cran-svglite
Filename: pool/dists/focal/main/r-cran-meditate_0.1.3-1.ca2004.1_all.deb
Size: 1693700
MD5sum: 2b9b5315062b8873f0e9777a82ee3df6
SHA1: 7265988912d03a596a827802c72ee92ec74f63aa
SHA256: 2bcd74f17db6b8932b9c4471dbff968a8b9c3dc0f05ea1091c808d4720461b3b
SHA512: e357f9519c4dd247598fe0713efc16cf93f3ae0126094e2e198ef4c41c889d9e9169b8ab8e8257ad8484046fa7dfedd881dc32aac569673c85dafdc155c640fd
Homepage: https://cran.r-project.org/package=meditate
Description: CRAN Package 'meditate' (Meditation Timer)
 A simple meditation timer that logs session information.

Package: r-cran-meditations
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-meditations_1.0.1-1.ca2004.1_all.deb
Size: 101116
MD5sum: 368448fe3c459592c74c545f7e96b690
SHA1: d7645980b1755872d622cac752230e3d5105db20
SHA256: 1b2cd0fbd88dbf791e57253fba8c86f59c73e0d5e41a0f32a495fc80c2097e4f
SHA512: ef2239dc5405ec56940f687d127ddc84f1c61a2c76f83b7b3c599a4e41610478d4bc7cdf7a100f81a6030d7f8e48f267c7f64e6c41a825a21ba7aaff50c1a0ea
Homepage: https://cran.r-project.org/package=meditations
Description: CRAN Package 'meditations' (Prints a Random Quote from Marcus Aurelius' Book Meditations)
 Prints a random quote from Marcus Aurelius' book Meditations.

Package: r-cran-medits
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1746
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rgdal, r-cran-sp, r-cran-raster, r-cran-rgeos, r-cran-hms, r-cran-tibble, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-medits_0.1.7-1.ca2004.1_all.deb
Size: 1668140
MD5sum: 6eac8bb7027729b995bf1ea3463e7249
SHA1: 9735f1aedd5407847ba3a9344d46c6ddc0d62dd8
SHA256: cf645590cdc0625ce0cbf9dcdaf67ce2d551994391f3af802b412fa3a1ea6a6f
SHA512: 777c7e3f771f39d65cead3e34ae6f55ad2659b6fda2edd456af411118fbec3f6e1bb823f265f110395e62eb1bdada51c2569d1349efe86b3583fc31d35ab08f4
Homepage: https://cran.r-project.org/package=MEDITS
Description: CRAN Package 'MEDITS' (Analysis of MEDITS-Like Survey Data)
 Set of functions working with survey data in the format of the MEDITS
 project <https://www.sibm.it/SITO%20MEDITS/principaleprogramme.htm>. In this
 version, functions use TA, TB and TC tables respectively containing haul,
 catch and aggregated biological data.

Package: r-cran-medlea
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-tm, r-cran-patchwork, r-cran-wordcloud2
Filename: pool/dists/focal/main/r-cran-medlea_1.0.2-1.ca2004.1_all.deb
Size: 319012
MD5sum: 83a58a73e374397b89b601183d277608
SHA1: 77014cdfb39cabf7e7a06607d9c2260f0b458c8a
SHA256: a6a242ccb9d86912d551db18fafe507e906981cfc217d704f4c45dd5407a5d8f
SHA512: 0650d9414dde9a999f7ea89e2415be8c987e621a3963954a5dc51d599c8f06eafa7ffb254ecf053f3f30b0c2c5954922bcc5db65159bc1e6afb3824c5ed3d990
Homepage: https://cran.r-project.org/package=MedLEA
Description: CRAN Package 'MedLEA' (Morphological and Structural Features of Medicinal Leaves)
 Contains a dataset of morphological and structural features of 'Medicinal
 LEAves (MedLEA)'. The features of each species is recorded by manually
 viewing the medicinal plant repository available at
 (<http://www.instituteofayurveda.org/plants/>). You can also download
 repository of leaf images of 1099 medicinal plants in Sri Lanka.

Package: r-cran-medparser
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-medparser_0.1.0-1.ca2004.1_all.deb
Size: 18764
MD5sum: 6ec9a97af24df1179d0f018a813858fb
SHA1: f10069c46120490636f193244f90ecd33da20ce8
SHA256: 28ae17904e1d5e6fa7ac5b917a01ee9ce06881b5ac4f6a6504fd4ccbc18429a9
SHA512: 27421a3e2e6bce18d42a7575c92c8bdd7d55d8f2216824b7be08952f4849fa024ae69c0be3535bcc47b71db0938cffb19482906e84fbcf1ed8b6ffc1d1a567c3
Homepage: https://cran.r-project.org/package=medparser
Description: CRAN Package 'medparser' (MedPC Text Parser)
 Parses information from text files with specific utility aimed at pulling
 information from Med Associate's (MPC) files. These functions allow for
 further analysis of MPC files.

Package: r-cran-medrxivr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 878
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-curl, r-cran-jsonlite, r-cran-httr, r-cran-stringr, r-cran-rlang, r-cran-bib2df, r-cran-tibble, r-cran-progress, r-cran-lubridate, r-cran-purrr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-kableextra, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-medrxivr_0.1.1-1.ca2004.1_all.deb
Size: 362180
MD5sum: 25cd2876711ecfb66cabb930554aa555
SHA1: 2dbc04085a8f6d6fb352d61e2b68f1b23dcc5014
SHA256: 836e0634e25771c3c0708643459423c6f814d043365f183ba67107fa59898aa0
SHA512: b376e8d3e93cff997196ef7cd3a50fe0049bccea498b3f85579c62452f3d080b30d1ffc1fd415658d94283c388ed2fb7fb0f72016a4c1ea31cc37d91a753407e
Homepage: https://cran.r-project.org/package=medrxivr
Description: CRAN Package 'medrxivr' (Access and Search MedRxiv and BioRxiv Preprint Data)
 An increasingly important source of health-related bibliographic content are
 preprints - preliminary versions of research articles that have yet to
 undergo peer review. The two preprint repositories most relevant to
 health-related sciences are medRxiv <https://www.medrxiv.org/> and bioRxiv
 <https://www.biorxiv.org/>, both of which are operated by the Cold Spring
 Harbor Laboratory. 'medrxivr' provides programmatic access to the 'Cold
 Spring Harbour Laboratory (CSHL)' API <https://api.biorxiv.org/>, allowing
 users to easily download medRxiv and bioRxiv preprint metadata (e.g. title,
 abstract, publication date, author list, etc) into R.  'medrxivr' also
 provides functions to search the downloaded preprint records using regular
 expressions and Boolean logic, as well as helper functions that allow users
 to export their search results to a .BIB file for easy import to a reference
 manager and to download the full-text PDFs of preprints matching their
 search criteria.

Package: r-cran-medscan
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hdmt, r-cran-locfdr, r-cran-qqman, r-bioc-qvalue, r-cran-fdrtool
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-medscan_1.0.2-1.ca2004.1_all.deb
Size: 33532
MD5sum: 13d8cb792ef0fe2ce14e696ea90d00d0
SHA1: 7e2e9a73705cb3b0c5f0cba397adc6af257216af
SHA256: 554120e62cad9e2d03c14c4db60701a652bd492def32bc8c033bd6229ef82f40
SHA512: a64a088abb06364a7060b8ff035bb23520e9e105e06eb08a0d28885e8c0fe925fee15c4db6f763aab91afdea8a030ba4cd462839da5bd377c128dd111fc60dc1
Homepage: https://cran.r-project.org/package=medScan
Description: CRAN Package 'medScan' (Large Scale Single Mediator Hypothesis Testing)
 A collection of methods for large scale single mediator hypothesis testing.
 The six included methods for testing the mediation effect are Sobel's test,
 Max P test, joint significance test under the composite null hypothesis,
 high dimensional mediation testing, divide-aggregate composite null test,
 and Sobel's test under the composite null hypothesis. Du et al (2023)
 <doi:10.1002/gepi.22510>.

Package: r-cran-medseq
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-matrixstats, r-cran-nnet, r-cran-seriation, r-cran-stringdist, r-cran-traminer, r-cran-weightedcluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-medseq_1.4.2-1.ca2004.1_all.deb
Size: 697608
MD5sum: b5c3cf1a8989f6b20fc142c4471f2171
SHA1: a1fe2edc972786959b1a9451634e4ff24ca10d8a
SHA256: 4acf17e048cb2cd044d0888a816b3705bd5e495c6f9e944cd03d8a42dc8d30dc
SHA512: 5631f92f93c2a6987c5b04622796dd3b572adb77f5753d82774618e774d9e94f26b4e27a3043459f7ebb28528196b184685d35a195df1717c0c5ad9b84026743
Homepage: https://cran.r-project.org/package=MEDseq
Description: CRAN Package 'MEDseq' (Mixtures of Exponential-Distance Models with Covariates)
 Implements a model-based clustering method for categorical life-course
 sequences relying on mixtures of exponential-distance models introduced by
 Murphy et al. (2021) <doi:10.1111/rssa.12712>. A range of flexible precision
 parameter settings corresponding to weighted generalisations of the Hamming
 distance metric are considered, along with the potential inclusion of a
 noise component. Gating covariates can be supplied in order to relate
 sequences to baseline characteristics and sampling weights are also
 accommodated. The models are fitted using the EM algorithm and tools for
 visualising the results are also provided.

Package: r-cran-medsurvey
Architecture: all
Version: 1.1.1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4006
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-survey, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-medsurvey_1.1.1.3.0-1.ca2004.1_all.deb
Size: 4060696
MD5sum: 91e3dfa2ef36e35072831ec54fd7352f
SHA1: f669b035c5a27945ce2feef617b5a1c513761cf1
SHA256: e48b35def9edd2abfb9c614579666c715106e4e68a632583be64f04b5557ead6
SHA512: 9ddfd3f6df62fe7c24383766d44fd186978dcdfbf1cb90be6d874e72a87afc4362837dc1dccfe238bc51e951e6cbb62aecd3a0b3fcc63286003a2b97751074da
Homepage: https://cran.r-project.org/package=MedSurvey
Description: CRAN Package 'MedSurvey' (Linear Mediation Analysis for Complex Surveys Using BalancedRepeated Replication)
 It is a computer tool to conduct linear mediation analysis for complex
 surveys using multi-stage sampling and Balanced Repeated Replication (BRR).
 Specifically, the mediation analysis method using balanced repeated
 replications was proposed by Mai, Ha, and Soulakova (2019)
 <DOI:10.1080/10705511.2018.1559065>. The current version can only handle
 continuous mediators and outcomes. The development of 'MedSurvey' was
 sponsored by American Lebanese Syrian Associated Charities (ALSAC). However,
 the contents of MedSurvey do not necessarily represent the policy of the
 ALSAC.

Package: r-cran-meerva
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixcalc
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-meerva_0.2-2-1.ca2004.1_all.deb
Size: 330704
MD5sum: 342c70e2e97721e4a5a3addaee507b3b
SHA1: f0f70646b2bbb7bbf30b535bcca7bb62d0736549
SHA256: 9424d7ebeda0a2245f8ce3f3909de3f2a4290b4ba8c3b7acfa762a36f50372d8
SHA512: d5bc8882d0292a25227fbaa0c9a9bf5ba82e8b13ed1abe06f13d6b1dbc44d55177cef6b39b81416eafa65098b239e22a9ed4f6e254143f6646e031824e8e913a
Homepage: https://cran.r-project.org/package=meerva
Description: CRAN Package 'meerva' (Analysis of Data with Measurement Error Using a ValidationSubsample)
 Sometimes data for analysis are obtained using more convenient or less
 expensive means yielding "surrogate" variables for what could be obtained
 more accurately, albeit with less convenience; or less conveniently or at
 more expense yielding "reference" variables, thought of as being measured
 without error. Analysis of the surrogate variables measured with error
 generally yields biased estimates when the objective is to make inference
 about the reference variables. Often it is thought that ignoring the
 measurement error in surrogate variables only biases effects toward the null
 hypothesis, but this need not be the case. Measurement errors may bias
 parameter estimates either toward or away from the null hypothesis.  If one
 has a data set with surrogate variable data from the full sample, and also
 reference variable data from a randomly selected subsample, then one can
 assess the bias introduced by measurement error in parameter estimation, and
 use this information to derive improved estimates based upon all available
 data. Formulaically these estimates based upon the reference variables from
 the validation subsample combined with the surrogate variables from the
 whole sample can be interpreted as starting with the estimate from reference
 variables in the validation subsample, and "augmenting" this with additional
 information from the surrogate variables. This suggests the term "augmented"
 estimate.  The meerva package calculates these augmented estimates in the
 regression setting when there is a randomly selected subsample with both
 surrogate and reference variables. Measurement errors may be differential or
 non-differential, in any or all predictors (simultaneously) as well as
 outcome. The augmented estimates derive, in part, from the multivariate
 correlation between regression model parameter estimates from the reference
 variables and the surrogate variables, both from the validation subset.
 Because the validation subsample is chosen at random any biases imposed by
 measurement error, whether non-differential or differential, are reflected
 in this correlation and these correlations can be used to derive estimates
 for the reference variables using data from the whole sample.  The main
 functions in the package are meerva.fit which calculates estimates for a
 dataset, and meerva.sim.block which simulates multiple datasets as described
 by the user, and analyzes these datasets, storing the regression coefficient
 estimates for inspection.  The augmented estimates, as well as how
 measurement error may arise in practice, is described in more detail by
 Kremers WK (2021) <arXiv:2106.14063> and is an extension of the works by
 Chen Y-H, Chen H. (2000) <doi:10.1111/1467-9868.00243>, Chen Y-H. (2002)
 <doi:10.1111/1467-9868.00324>, Wang X, Wang Q (2015)
 <doi:10.1016/j.jmva.2015.05.017> and Tong J, Huang J, Chubak J, et al.
 (2020) <doi:10.1093/jamia/ocz180>.

Package: r-cran-meetupapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-meetupapi_0.1.0-1.ca2004.1_all.deb
Size: 28860
MD5sum: 08d899ccf9ae0a47ec7b1ee1e1c16d1f
SHA1: 95e88328fafc2b657806232fff134a158782bf1f
SHA256: a0e07d04e447e7639395855aa8c41b2e5a53e4f6451397dafce05c6c3705badb
SHA512: 544c74c6bda0844232ab018388862523a9540d91915a3749aa7e6a7d4767a8874e15b81198caaf5dee4445ac12dcc4fa98917cabf19677e1df99bcdba7ea46ef
Homepage: https://cran.r-project.org/package=meetupapi
Description: CRAN Package 'meetupapi' (Access 'Meetup' API)
 Allows management of 'Meetup' groups via the
 <https:www.meetup.com/meetup_api/>.  Provided are a set of functions that
 enable fetching information of joined meetups, attendance, and members. This
 package requires the use of an API key.

Package: r-cran-mefa4
Architecture: all
Version: 0.3-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-mefa
Filename: pool/dists/focal/main/r-cran-mefa4_0.3-11-1.ca2004.1_all.deb
Size: 590616
MD5sum: eff6e7262d99dc03cde320f301ee36b6
SHA1: 2f90fa1d5506fa4f60e1078f51e5c1061037a33c
SHA256: 82b445ef51d84c3e07e2b0fe658c65c80c32eed21eb3a55c365ab3687199a82e
SHA512: 6bc8dfad977ade92cea720767e5bacfc2bdf87d38127c0b2255647718fb1f2ec2a1fb20ef98c8960bb29223f95520e4a9d990792d93e3e34bd7316c2845551e5
Homepage: https://cran.r-project.org/package=mefa4
Description: CRAN Package 'mefa4' (Multivariate Data Handling with S4 Classes and Sparse Matrices)
 An S4 update of the 'mefa' package using sparse matrices for enhanced
 efficiency.  Sparse array-like objects are supported via lists of sparse
 matrices.

Package: r-cran-mefa
Architecture: all
Version: 3.2-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-vegan, r-cran-mefa4, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-mefa_3.2-9-1.ca2004.1_all.deb
Size: 245644
MD5sum: a8686e2d19d15bbc287a4d6953d8a8dc
SHA1: f0922764c7361950eda5d142a57eb9c514d745b8
SHA256: f0a5c01bdfb7a5533ce3e1f3a5b7d6fdd04729a44a6c062dd975203e3e87d69f
SHA512: c78961eb82e3800abdb10e347b6feac82ca0c9f519bc8229c47a8daf52e4749c5689e18566870faaef959c6234ac337064d12a8ee7752f6a0900c0bfb6618fe5
Homepage: https://cran.r-project.org/package=mefa
Description: CRAN Package 'mefa' (Multivariate Data Handling in Ecology and Biogeography)
 A framework package aimed to provide standardized computational environment
 for specialist work via object classes to represent the data coded by
 samples, taxa and segments (i.e. subpopulations, repeated measures). It
 supports easy processing of the data along with cross tabulation and
 relational data tables for samples and taxa. An object of class `mefa' is a
 project specific compendium of the data and can be easily used in further
 analyses. Methods are provided for extraction, aggregation, conversion,
 plotting, summary and reporting of `mefa' objects. Reports can be generated
 in plain text or LaTeX format. Vignette contains worked examples.

Package: r-cran-mefdind
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rvest, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-mefdind_0.1-1.ca2004.1_all.deb
Size: 49996
MD5sum: 9d879af9cfc1f2bb026401e861e583c5
SHA1: f02108dedcb7b807dff799b9c057206965c52af8
SHA256: 5caf9b80a0ce6a8b4211855e73bce0857cea31ee4b8631f7a9703944e025d4c0
SHA512: 399369bec54bc48dc4770c79722f2fc61cf31ba3da9922fe395ec0a8da835f7629f56248236077184c561575aba3403c2639ffdf41131f4f68604385ed377c21
Homepage: https://cran.r-project.org/package=mefdind
Description: CRAN Package 'mefdind' (Imports Data from MoE Spain)
 Imports indicator data provided by the Ministry of Education (MoE),Spain.
 The data is stored at
 <https://www.educacionyfp.gob.es/servicios-al-ciudadano/estadisticas/no-universitaria.html>
 Includes functions for reading, downloading, and selecting data for main
 series. This package is not sponsored or supported by the MoE Spain.
 Importa datos con indicadores del Ministerio de Educación y Formación
 Profesional (MEFD) de Españá.  Los datos están en
 <https://www.educacionyfp.gob.es/servicios-al-ciudadano/estadisticas/no-universitaria.html>
 Contiene funciones para leer, descargar, y seleccionar bases de datos de
 series principales.  Este paquete no es patrocinado o respaldado por el
 MEFD.

Package: r-cran-mefm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tensormiss
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mefm_0.1.1-1.ca2004.1_all.deb
Size: 53356
MD5sum: 8a09a5ad719db75012b034767ab6762b
SHA1: b08c1dc1c9b521ff64200c0473a887befc560fd7
SHA256: caf4b7dd9efd876ca042f1d869f5fcc889d51cf199d48151c22a7e30739005d9
SHA512: fbb5c17b537de9abec41c4f9cebda778e7b847df9d2fdb33a6193f55417270d51b7fa0dfaa0a6aee140aca877f0a0f049da95955093ef0b1a583dd4da3a83778
Homepage: https://cran.r-project.org/package=MEFM
Description: CRAN Package 'MEFM' (Perform MEFM Estimation on Matrix Time Series)
 To perform main effect matrix factor model (MEFM) estimation for a given
 matrix time series as described in Lam and Cen (2024)
 <doi:10.48550/arXiv.2406.00128>. Estimation of traditional matrix factor
 models is also supported. Supplementary functions for testing MEFM over
 factor models are included.

Package: r-cran-megb
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbm, r-cran-mass, r-cran-latex2exp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-megb_0.1-1.ca2004.1_all.deb
Size: 42044
MD5sum: 6476486082dd596e90d0f5d9dce835e2
SHA1: 0a3b8fc3bb889cf3e40dd36cf6612575b4761592
SHA256: 887e7849b6956d38ddd8bff1c7e3cc4235c4d0b4d787333cb089af56e7eb3094
SHA512: a322854ce2453b744ef940bd818664efb78bd4455b158b55e065847da001155dfe57ba9fad0fc6eaa3bafd12bcbbda0632ac0d56ea71de620cfbac890b4a68a5
Homepage: https://cran.r-project.org/package=MEGB
Description: CRAN Package 'MEGB' (Gradient Boosting for Longitudinal Data)
 Gradient boosting is a powerful statistical learning method known for its
 ability to model complex relationships between predictors and outcomes while
 performing inherent variable selection.  However, traditional gradient
 boosting methods lack flexibility in handling longitudinal data where
 within-subject correlations play a critical role. In this package, we
 propose a novel approach Mixed Effect Gradient Boosting ('MEGB'), designed
 specifically for high-dimensional longitudinal data.  'MEGB' incorporates a
 flexible semi-parametric model that embeds random effects within the
 gradient boosting framework, allowing it to account for within-individual
 covariance over time. Additionally, the method efficiently handles scenarios
 where the number of predictors greatly exceeds the number of observations
 (p>>n) making it particularly suitable for genomics data and other
 large-scale biomedical studies.

Package: r-cran-meifly
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-leaps, r-cran-mass, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-meifly_0.3.1-1.ca2004.1_all.deb
Size: 37404
MD5sum: 0d897e8a554cf43fdd43dc645b891f01
SHA1: a40282df0e689cace9c4304b5210883d305d3c5b
SHA256: 24f9624c19a8ccc34f7def9cf5f82b9050dd6b84b4632a2c0552a988ee03c3a8
SHA512: 8731839f7e0de97e71f28b1ecc5892513280fcc38fa25c5f97d3726cfda56cb77eb72abd6ad939bcb81f4ec687e4a8dddc2c35f4eb37fbf672d54f9717862a04
Homepage: https://cran.r-project.org/package=meifly
Description: CRAN Package 'meifly' (Interactive Model Exploration using 'GGobi')
 Exploratory model analysis with <http://ggobi.org>.  Fit and graphical
 explore ensembles of linear models.

Package: r-cran-mekko
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mekko_0.1.0-1.ca2004.1_all.deb
Size: 83444
MD5sum: 0d730946e633c067fd6c9f441828e51b
SHA1: d4d828e910d91ffff3a7b64fad63221e52139796
SHA256: 5dfdd4e703cd341558b1bd6ba5e18778dcc3e590a86089b1fd7e8628b41d86b7
SHA512: 60ca41f24ec10d910c1f723285a414ecb95164ffa713c16f5a1db235169d4a83640d46b8844e6f820c0b304aa9b7921786aa4b8f6a7f768adcdd6d2d409279eb
Homepage: https://cran.r-project.org/package=mekko
Description: CRAN Package 'mekko' (Variable Width Bar Charts: Bar Mekko)
 Create variable width bar charts i.e.  "bar mekko" charts to include
 important quantitative context.  Closely related to mosaic, spine (or
 spinogram), matrix, submarine, olympic, Mondrian or product plots and tree
 maps.

Package: r-cran-mem
Architecture: all
Version: 2.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sm, r-cran-boot, r-cran-rcolorbrewer, r-cran-mclust, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-rcpproll, r-cran-envstats
Suggests: r-cran-magick
Filename: pool/dists/focal/main/r-cran-mem_2.18-1.ca2004.1_all.deb
Size: 408944
MD5sum: e1acca0828e936b7a27badbd72c84b7b
SHA1: bb0ab8100b35dab9068d8a2529bf348f2e35921b
SHA256: ee920cbc7e7597d3007941feca77f9258dc4047c1b762a74b8b46968aa328bec
SHA512: 0af7c171ff361ff1a7a0a11dcba0c9bdf0a14a02a1e596f4865adcfce5ae8b74862dfa6d126314c1d69093b23cca2edbac3f542cfc7ddeacb0ad3ba4984a2541
Homepage: https://cran.r-project.org/package=mem
Description: CRAN Package 'mem' (The Moving Epidemic Method)
 The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015)
 <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the
 weekly assessment of the epidemic and intensity status to help in routine
 respiratory infections surveillance in health systems. Allows the comparison
 of different epidemic indicators, timing and shape with past epidemics and
 across different regions or countries with different surveillance systems.
 Also, it gives a measure of the performance of the method in terms of
 sensitivity and specificity of the alert week.

Package: r-cran-memapp
Architecture: all
Version: 2.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1519
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinybs, r-cran-shinyjs, r-cran-rcolorbrewer, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-stringi, r-cran-dt, r-cran-formattable, r-cran-ggplot2, r-cran-plotly, r-cran-mem
Suggests: r-cran-openxlsx, r-cran-readxl, r-cran-foreign, r-cran-haven, r-cran-readods, r-cran-rodbc, r-cran-magick
Filename: pool/dists/focal/main/r-cran-memapp_2.16-1.ca2004.1_all.deb
Size: 153612
MD5sum: b06beeaa499bc987f166bce25cae21f6
SHA1: 3b5cf7932f04f08dfdbd22a0484fceaf66afaf9c
SHA256: b3b1eba773c18e32218bd1944e557827eed2ede01c6be04c247b51c90140adc7
SHA512: 3ea573ce41221dc94db702e66e3c0e0ab19cd9929d14f610be6c9f197835839ce8f2c6623056af8c25c4e7c800d02b764a6faa66daed3edf38226a0f2fff7981
Homepage: https://cran.r-project.org/package=memapp
Description: CRAN Package 'memapp' (The Moving Epidemic Method Web Application)
 The Moving Epidemic Method, created by T Vega and JE Lozano (2012, 2015)
 <doi:10.1111/j.1750-2659.2012.00422.x>, <doi:10.1111/irv.12330>, allows the
 weekly assessment of the epidemic and intensity status to help in routine
 respiratory infections surveillance in health systems. Allows the comparison
 of different epidemic indicators, timing and shape with past epidemics and
 across different regions or countries with different surveillance systems.
 Also, it gives a measure of the performance of the method in terms of
 sensitivity and specificity of the alert week. 'memapp' is a web application
 created in the Shiny framework for the 'mem' R package.

Package: r-cran-meme
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridgraphics, r-cran-magick, r-cran-showtext, r-cran-sysfonts
Suggests: r-cran-cowplot, r-cran-ggimage, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-shadowtext
Filename: pool/dists/focal/main/r-cran-meme_0.2.3-1.ca2004.1_all.deb
Size: 3176264
MD5sum: 8c1791c18652179c69e1dd31c8dd0654
SHA1: a64824fed70ef1e6214381f3281439f0a79ea6e7
SHA256: b368f1b7c97f8f15d1b76327e76d17195934cb1d99ce7d21b1bda8df766a4ee4
SHA512: 08772e3ef02fdc5ce228c291e226427759cd18a5ca8e9298c1d0ae03f14f186a8f7cbd6a00660c87281f7bab15d15b70e70a2591298dcd95fdedd10697a27c45
Homepage: https://cran.r-project.org/package=meme
Description: CRAN Package 'meme' (Create Meme)
 The word 'Meme' was originated from the book, 'The Selfish Gene', authored
 by Richard Dawkins (1976).  It is a unit of culture that is passed from one
 generation to another and correlates to the gene, the unit of physical
 heredity.  The internet memes are captioned photos that are intended to be
 funny, ridiculous.  Memes behave like infectious viruses and travel from
 person to person quickly through social media.  The 'meme' package allows
 users to make custom memes.

Package: r-cran-memery
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-showtext, r-cran-sysfonts, r-cran-png, r-cran-jpeg, r-cran-cairo, r-cran-ggplot2, r-cran-cowplot, r-cran-magrittr, r-cran-purrr, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinybs, r-cran-colourpicker
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-magick, r-cran-gifski
Filename: pool/dists/focal/main/r-cran-memery_0.6.0-1.ca2004.1_all.deb
Size: 110320
MD5sum: 6e5d2a941a5aba88f5848b184f1e76f5
SHA1: d3fcf2082f76ee3c3e34e41e3eb4f889bc486165
SHA256: 9448924ed224867f3fbaf53418b3c815a805e872c33760aa2cfce9e355148135
SHA512: 20980e77237a7326411c6460c5371dbf29777bcabdb0d3e2b09c5ee4b47b5ddced0bba23f67657c7f36dde73ce8c3f00836095cacf2ad795788465ba2229737d
Homepage: https://cran.r-project.org/package=memery
Description: CRAN Package 'memery' (Internet Memes for Data Analysts)
 Generates internet memes that optionally include a superimposed inset plot
 and other atypical features, combining the visual impact of an
 attention-grabbing meme with graphic results of data analysis.  The package
 differs from related packages that focus on imitating and reproducing
 standard memes.  Some packages do this by interfacing with online meme
 generators whereas others achieve this natively.  This package takes the
 latter approach. It does not interface with online meme generators or
 require any authentication with external websites.  It reads images directly
 from local files or via URL and meme generation is done by the package.
 While this is similar to the 'meme' package available on CRAN, it differs in
 that the focus is on allowing for non-standard meme layouts and hybrids of
 memes mixed with graphs.  While this package can be used to make basic memes
 like an online meme generator would produce, it caters primarily to hybrid
 graph-meme plots where the meme presentation can be seen as a backdrop
 highlighting foreground graphs of data analysis results.  The package also
 provides support for an arbitrary number of meme text labels with arbitrary
 size, position and other attributes rather than restricting to the standard
 top and/or bottom text placement.  This is useful for proper aesthetic
 interleaving of plots of data between meme image backgrounds and overlain
 text labels.  The package offers a selection of templates for graph
 placement and appearance with respect to the underlying meme.  Graph
 templates also permit additional template-specific customization.  Animated
 gif support is provided but this is optional and functional only if the
 'magick' package is installed.  'magick' is not required unless gif
 functionality is desired.

Package: r-cran-memgene
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1730
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-gdistance, r-cran-raster, r-cran-sp, r-cran-vegan
Suggests: r-cran-adegenet, r-cran-geosphere, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-memgene_1.0.2-1.ca2004.1_all.deb
Size: 1472036
MD5sum: 4fabb415045b130c4908a03c25da0eef
SHA1: 77cade23b13da1e62fe3ff30e7cd3277b9e1b223
SHA256: 5e20d1bfcf121f0c5b6fcc0265b8ae53764d80fc7edb42afbb1d37f59a71ad3d
SHA512: e2993f76f9820c1766bc02fa7d8d21fc2432ffa1a18490e6ea2aa5529ef34c684ef533cabc62925039f6215c349db950501a2e7fe6a4229343ef4ceaead6ab54
Homepage: https://cran.r-project.org/package=memgene
Description: CRAN Package 'memgene' (Spatial Pattern Detection in Genetic Distance Data Using Moran'sEigenvector Maps)
 Can detect relatively weak spatial genetic patterns by using Moran's
 Eigenvector Maps (MEM) to extract only the spatial component of genetic
 variation.  Has applications in landscape genetics where the movement and
 dispersal of organisms are studied using neutral genetic variation.

Package: r-cran-memify
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-memify_0.1.1-1.ca2004.1_all.deb
Size: 23392
MD5sum: c26df8c9b83f79d080f04b59ce17522f
SHA1: 0478d91210150b39eb4d603e8394f04a2a2a9217
SHA256: 0cc79224ac58c13bff340673bce05a04980c1b1bc0f82885bef5bfe85fffb1bb
SHA512: 00ed250b8bf8f1a8bd67731f1b73cb08c7882b8f0932066caa005f070c36d764c122a8ab05d295905a047a64aa523603f8278f5cd454997a9f07c345b6951b73
Homepage: https://cran.r-project.org/package=memify
Description: CRAN Package 'memify' (Constructing Functions That Keep State)
 A simple way to construct and maintain functions that keep state i.e.
 remember their argument lists. This can be useful when one needs to
 repeatedly invoke the same function with only a small number of argument
 changes at each invocation.

Package: r-cran-memochange
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-fracdiff, r-cran-longmemoryts, r-cran-sandwich, r-cran-strucchange, r-cran-longmemo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-xts, r-cran-zoo, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-memochange_1.1.2-1.ca2004.1_all.deb
Size: 280248
MD5sum: 441245f94ab2da310f73d251662afa15
SHA1: 0ea43ec42e114c4d6b10cf26a48c07207d8a1cc4
SHA256: 6b159e5e6ca974e8946ddeaf662b52d73ce9b8ce801a398b23786450c1d1118b
SHA512: 838dd6f2f9a253f563abfc67f06e0a87547c4d208869b19d0ea471ce3563bb09792ecc93ab3e95914f8c386f63adedb603f290253f69731dc09a67f9eb885953
Homepage: https://cran.r-project.org/package=memochange
Description: CRAN Package 'memochange' (Testing for Structural Breaks under Long Memory and Testing forChanges in Persistence)
 Test procedures and break point estimators for persistent processes that
 exhibit structural breaks in mean or in persistence.  On the one hand the
 package contains the most popular approaches for testing whether a time
 series exhibits a break in persistence from I(0) to I(1) or vice versa, such
 as those of Busetti and Taylor (2004) and Leybourne, Kim, and Taylor (2007).
 The approach by Martins and Rodrigues (2014), which allows to detect changes
 from I(d1) to I(d2) with d1 and d2 being non-integers, is included as well.
 In case the tests reject the null of constant persistence, various
 breakpoint estimators are available to detect the point of the break as well
 as the order of integration in the two regimes.  On the other hand the
 package contains the most popular approaches to test for a change-in-mean of
 a long-memory time series, which were recently reviewed by Wenger,
 Leschinski, and Sibbertsen (2018).  These include memory robust versions of
 the CUSUM, sup-Wald, and Wilcoxon type tests. The tests either utilize
 consistent estimates of the long-run variance or a self normalization
 approach in their test statistics.  Betken (2016) <doi:10.1111/jtsa.12187>
 Busetti and Taylor (2004) <doi:10.1016/j.jeconom.2003.10.028> Dehling, Rooch
 and Taqqu (2012) <doi:10.1111/j.1467-9469.2012.00799.x> Harvey, Leybourne
 and Taylor (2006) <doi:10.1016/j.jeconom.2005.07.002> Horvath and Kokoszka
 (1997) <doi:10.1016/S0378-3758(96)00208-X> Hualde and Iacone (2017)
 <doi:10.1016/j.econlet.2016.10.014> Iacone, Leybourne and Taylor (2014)
 <doi:10.1111/jtsa.12049> Leybourne, Kim, Smith, and Newbold (2003)
 <doi:10.1111/1368-423X.t01-1-00110> Leybourne and Taylor (2004)
 <doi:10.1016/j.econlet.2003.12.015> Leybourne, Kim, and Taylor (2007):
 <doi:10.1111/j.1467-9892.2006.00517.x> Martins and Rodrigues (2014)
 <doi:10.1016/j.csda.2012.07.021> Shao (2011)
 <doi:10.1111/j.1467-9892.2010.00717.x> Sibbertsen and Kruse (2009)
 <doi:10.1111/j.1467-9892.2009.00611.x> Wang (2008)
 <doi:10.1080/00949650701216604> Wenger, Leschinski and Sibbertsen (2018)
 <doi:10.1016/j.econlet.2017.12.007>.

Package: r-cran-memofunc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-uuid, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-devtools, r-cran-roxygen2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-memofunc_1.0.2-1.ca2004.1_all.deb
Size: 64412
MD5sum: f94012b51b5c861780701f22cb0d7b70
SHA1: bfe2201dd771202691677ac6daf3312085e8d67f
SHA256: 11930208134eeabc11b6d5d217af9c04e73e6e2a21e8641d6c7a82ecb363dac5
SHA512: 6b0b1ad1acc4fb450c7dcc8b57874f15f95e6d176cb26632eb4020ac357f8cd39daeab1bbcacc3b91522cf40305df70dfb6fa4514aba0d3c735ec01311951e91
Homepage: https://cran.r-project.org/package=memofunc
Description: CRAN Package 'memofunc' (Function Memoization)
 A simple way to memoize function results to improve performance by
 eliminating unnecessary computation or data retrieval activities.

Package: r-cran-memoir
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 633
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bookdown, r-cran-distill, r-cran-rmarkdown, r-cran-rmdformats, r-cran-usethis
Suggests: r-cran-knitr, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-memoir_1.3-1-1.ca2004.1_all.deb
Size: 153856
MD5sum: 0b9b80df94b634c89359ff88b0720641
SHA1: 7241d47af7b045569dc01e3750aad47c66a7c5b8
SHA256: 0629d8c0dea9082cb6789642158fc2d0407a27961556c3ed022ff0ebf8c990c5
SHA512: 1e97588b3afb2df48460692869889479e4f40657e1e963ff3e597b6bcd1f2173cfae84183838d5836d3532cd34813de339cb7075c5a934986704ef9c626460b2
Homepage: https://cran.r-project.org/package=memoiR
Description: CRAN Package 'memoiR' (R Markdown and Bookdown Templates to Publish Documents)
 Producing high-quality documents suitable for publication directly from R is
 made possible by the R Markdown ecosystem.  'memoiR' makes it easy.  It
 provides templates to knit memoirs, articles and slideshows with helpers to
 publish the documents on GitHub Pages and activate continuous integration.

Package: r-cran-memoise
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-cachem
Suggests: r-cran-digest, r-cran-aws.s3, r-cran-covr, r-cran-googleauthr, r-cran-googlecloudstorager, r-cran-httr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-memoise_2.0.1-1.ca2004.1_all.deb
Size: 47412
MD5sum: 19bdd6dbe00a033c93c55f599c67693d
SHA1: 874577656e57474d4a177e39340c9cdfcce41197
SHA256: c4a7ac96d2e98725fef906fc69517aa61eaf718ac45477259dd53b7439794fc1
SHA512: cb00b65790442fdeb5489de6d72f0023fd6750e305a794a9590f44bb46e0055d428f31b1d24f66c8a13de93e8baa452bb4e6595c01b6df52a7750d92f638a27f
Homepage: https://cran.r-project.org/package=memoise
Description: CRAN Package 'memoise' ('Memoisation' of Functions)
 Cache the results of a function so that when you call it again with the same
 arguments it returns the previously computed value.

Package: r-cran-memor
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-kableextra, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-memor_0.2.3-1.ca2004.1_all.deb
Size: 190836
MD5sum: 8161f325216fbc4a803d8d659f2ff16f
SHA1: ce8e2926383cfe92b736d4a1a0e3d62875bf9285
SHA256: 0214ed20474e3ce5cbf29a1cc1bc7fccd8faf2a95509b3de800916d39430245c
SHA512: b3649a397bd64b6ac1b047a42c4a2cfd6ec18a2778ea9fe085708867c9114988064874f68d1cb3c1e6a15b8b0e7f0a614978a916ecd3ae8812e3fa88395ef17a
Homepage: https://cran.r-project.org/package=memor
Description: CRAN Package 'memor' (A 'rmarkdown' Template that Can be Highly Customized)
 A 'rmarkdown' template that supports company logo, contact info, watermarks
 and more. Currently restricted to 'Latex'/'Markdown'; a similar 'HTML' theme
 will be added in the future.

Package: r-cran-memoria
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ranger, r-cran-cowplot, r-cran-viridis, r-cran-viridislite, r-cran-zoo, r-cran-stringr, r-cran-hh, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-formatr, r-cran-kableextra, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-rpart, r-cran-rpart.plot, r-cran-randomforest, r-cran-virtualpollen
Filename: pool/dists/focal/main/r-cran-memoria_1.0.0-1.ca2004.1_all.deb
Size: 1122096
MD5sum: bd13b8ce43ce44b773afe34343ee5f40
SHA1: 5b09f438b93d2bab3958393b32c42e39f54e6f73
SHA256: 53d89b87a47d528652180e236f27a1a3ee0013c606bcd304d8e9d73bc94e9b63
SHA512: 5b0ececf29252706960dda4b1c8e47e3286bb661e53c564a6ea432e098e433004e0a8fba05dd91194571f7bb79efa3bac0ca8afb0beef32c72dff1145bcd34f8
Homepage: https://cran.r-project.org/package=memoria
Description: CRAN Package 'memoria' (Quantifying Ecological Memory in Palaeoecological Datasets andOther Long Time-Series)
 Tools to quantify ecological memory in long time-series with Random Forest
 models (Breiman 2001 <doi:10.1023/A:1010933404324>) fitted with the 'ranger'
 library (Wright and Ziegler 2017 <doi:10.18637/jss.v077.i01>). Particularly
 oriented to palaeoecological datasets and simulated pollen curves produced
 by the 'virtualPollen' package, but also applicable to other long
 time-series involving a set of environmental drivers and a biotic response.

Package: r-cran-memss
Architecture: all
Version: 0.9-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-memss_0.9-3-1.ca2004.1_all.deb
Size: 229604
MD5sum: 116b7810089c31bc505a44bba4aaed17
SHA1: 2dfbb501ee1a5e168d4abd0163536b04f0b95c10
SHA256: b8acbdbbe9b1da3d238578081036bf4c4a02343acb9c02a3a472ce3e89599d3c
SHA512: 8b816f82e33da7952d421a760f0991948880c066b76992d07bfb1db7bc672a784496de6c6d2ddd84c249aa7d10ad3d3bf80cb8c25b2c139f58587e014ae96c5e
Homepage: https://cran.r-project.org/package=MEMSS
Description: CRAN Package 'MEMSS' (Data Sets from Mixed-Effects Models in S)
 Data sets and sample analyses from Pinheiro and Bates, "Mixed-effects Models
 in S and S-PLUS" (Springer, 2000).

Package: r-cran-mepdf
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-mvtnorm, r-cran-pracma, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-mepdf_3.0-1.ca2004.1_all.deb
Size: 31108
MD5sum: 63c6ec08e00eb68b2de57fc6332e9daf
SHA1: b25d838aed0b6459c919246cc259836834de058d
SHA256: 09501268295e57d646c4320c672679f72616a58aa205286c1bec28b8a6989e22
SHA512: 85e0d8989eaaea54fa14c6068faa56661f2e1107a0eda800543e8f155475ee879840c1054578aa5b3be9e728494b20cbb2c1ff48143a6542e029d2c3cbac05e8
Homepage: https://cran.r-project.org/package=MEPDF
Description: CRAN Package 'MEPDF' (Creation of Empirical Density Functions Based on MultivariateData)
 Based on the input data an n-dimensional cube with sub cells of user
 specified side length is created.  The number of sample points which fall in
 each sub cube is counted, and with the cell volume and overall sample size
 an empirical probability can be computed. A number of cubes of higher
 resolution can be superimposed. The basic method stems from J.L. Bentley in
 "Multidimensional Divide and Conquer".  J. L. Bentley (1980)
 <doi:10.1145/358841.358850>.  Furthermore a simple kernel density estimation
 method is made available, as well as an expansion of Bentleys method, which
 offers a kernel approach for the grid method.

Package: r-cran-mercator
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3469
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-thresher, r-cran-kernsmooth, r-cran-cluster, r-cran-rtsne, r-cran-classdiscovery, r-cran-polychrome, r-cran-dendextend, r-cran-igraph, r-cran-flexmix, r-cran-umap, r-cran-kohonen
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mercator_1.1.7-1.ca2004.1_all.deb
Size: 2480572
MD5sum: f27d043a4d88ab4476d559d4d0e8236a
SHA1: 0193b830657acd082a00fd35a2a9596562cf22b9
SHA256: f395f3602179181ee3a103419ee339a898281a6246f423b5f6a19ae80c86b82a
SHA512: 9aabe0ae8e0c830100a8988cbfe1a5e708a4a801d96606f1f95e5a885f38377502a61f20bcc3c337c4c6149975ad5da6b5f3cdfa79918262caa0e8ba6c128661
Homepage: https://cran.r-project.org/package=Mercator
Description: CRAN Package 'Mercator' (Clustering and Visualizing Distance Matrices)
 Defines the classes used to explore, cluster and visualize distance
 matrices, especially those arising from binary data. See Abrams and
 colleagues, 2021, <doi:10.1093/bioinformatics/btab037>.

Package: r-cran-merderiv
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lme4, r-cran-nonnest2, r-cran-sandwich, r-cran-lavaan, r-cran-matrix, r-cran-numderiv
Suggests: r-cran-tinytest, r-cran-mirt, r-cran-lmeinfo
Filename: pool/dists/focal/main/r-cran-merderiv_0.2-5-1.ca2004.1_all.deb
Size: 92808
MD5sum: d2af14cf809a07106e08c69498742733
SHA1: 922d16998aa9b4516edb069be0a3fecc4dd49831
SHA256: 0721956cdced965104a624265d7d69fb6f18b34c6fcfb1bf7a79b738a2a28608
SHA512: 1d4abadc08adc740badbd302c3c659be2afcd1e6433ab3165d57e651bb6ac341f8e8614879fa95f70916899948392a5619cbe724a78707ed4aa806dec7fcf0d9
Homepage: https://cran.r-project.org/package=merDeriv
Description: CRAN Package 'merDeriv' (Case-Wise and Cluster-Wise Derivatives for Mixed Effects Models)
 Compute case-wise and cluster-wise derivative for mixed effects models with
 respect to fixed effects parameter, random effect (co)variances, and
 residual variance. This material is partially based on work supported by the
 National Science Foundation under Grant Number 1460719.

Package: r-cran-mergedblocks
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-randomizer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mergedblocks_1.1.1-1.ca2004.1_all.deb
Size: 23996
MD5sum: 6f941e2a016d07e7279cf065b5af136a
SHA1: 8bf1acc394f87db8b576e7b0ebbad839e2aef9ac
SHA256: d6ed8b4a1bf50884b2f69cc3503717a3823376f919ce9db967432abe99be3bb4
SHA512: bec928a875dcf75e6384315060136c0d0c635e13c463eb4bfbc891efba035dbf3573267590765419d164255744dc5ba16182fb06b0a57d70ec0e3e47fd6a21da
Homepage: https://cran.r-project.org/package=mergedblocks
Description: CRAN Package 'mergedblocks' (Merged Block Randomization)
 Package to carry out merged block randomization (Van der Pas (2019),
 <doi:10.1177/1740774519827957>), a restricted randomization method designed
 for small clinical trials (at most 100 subjects) or trials with small
 strata, for example in multicentre trials. It can be used for more than two
 groups or unequal randomization ratios.

Package: r-cran-mergen
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openai, r-cran-rmarkdown, r-cran-biocmanager, r-cran-assertthat, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-readxl, r-cran-data.table, r-cran-testthat, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-mergen_0.2.1-1.ca2004.1_all.deb
Size: 262752
MD5sum: 82e6cfdfb4feb2fec66b9a1dcc5deda5
SHA1: 824d2d50de92920a53e6e29a227335f857f31236
SHA256: 118b8b27e747fbb6705b7c05236e9953da61f0ff3c52b129e0f195728c87a079
SHA512: 548e7b51b02f57c1c1d834b979713592d1104cb71e4eaf1c71835a6eb132123bf20b587e6a576106e1d29a1e88b2b6cd534385062243c31da0a8e7f4f5fd1a80
Homepage: https://cran.r-project.org/package=mergen
Description: CRAN Package 'mergen' (AI-Driven Code Generation, Explanation and Execution for DataAnalysis)
 Employing artificial intelligence to convert data analysis questions into
 executable code, explanations, and algorithms. The self-correction feature
 ensures the generated code is optimized for performance and accuracy.
 'mergen' features a user-friendly chat interface, enabling users to interact
 with the AI agent and extract valuable insights from their data
 effortlessly.

Package: r-cran-mergenstudio
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3346
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mergen, r-cran-assertthat, r-cran-bslib, r-cran-cli, r-cran-colorspace, r-cran-fontawesome, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httr2, r-cran-ids, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-shiny.i18n, r-cran-shinyjs, r-cran-shinyfiles, r-cran-fs, r-cran-stringr, r-cran-rvest, r-cran-waiter, r-cran-yaml, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mergenstudio_1.0-1.ca2004.1_all.deb
Size: 1671156
MD5sum: 9870e623f0bdcf0eb3bf1de0cd53a177
SHA1: 60b0428c12a80d9f469ba3c071156b0bc181b05f
SHA256: 3d924362826daf08886949840805077efec0cf86c467df82fad4d5f6b95e0275
SHA512: ba2e8cc3a96f00e2a185fb8f01af637e678e369c524388f9e8575b2cb76d345d11f3ce55b5210a0e94a55613e3e36f031f090f170047ba0ac529f7cee15bbb46
Homepage: https://cran.r-project.org/package=mergenstudio
Description: CRAN Package 'mergenstudio' ('Mergen' Studio: An 'RStudio' Addin Wrapper for the 'Mergen'Package)
 An 'RStudio' Addin wrapper for the 'mergen' package. This package employs
 artificial intelligence to convert data analysis questions into executable
 code, explanations, and algorithms. This package makes it easier to use
 Large Language Models in your development environment by providing a
 chat-like interface, while also allowing you to inspect and execute the
 returned code.

Package: r-cran-mergingtools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2065
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-rlang, r-cran-mass
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-mergingtools_1.0.1-1.ca2004.1_all.deb
Size: 712932
MD5sum: da7398c47dfe5f817e5487426b7558aa
SHA1: 5d5969651c656f0b8e33f1247befe09c9d5c21b3
SHA256: 4a033679048d494976f384f75091eb74a1a423672c0d254cc20705a30dec1de5
SHA512: f4ee2be000cea46cc1bf516c2a0a82da4c79902389ad6c7ca23cc3da78d42e163587a60495eb6a57994d679860c5c30cdd4544f8e3c57ec5522a0d5e3dc014ab
Homepage: https://cran.r-project.org/package=mergingTools
Description: CRAN Package 'mergingTools' (Tools to Merge Hardware Event Monitors (HEMs) Coming fromSeparate Subexperiments into One Single Dataframe)
 Implementation of two tools to merge Hardware Event Monitors (HEMs) from
 different subexperiments. Hardware Reading and Merging (HRM), which uses
 order statistics to merge; and MUlti-Correlation HEM (MUCH) which merges
 using a multivariate normal distribution. The reference paper for HRM is: S.
 Vilardell, I. Serra, R. Santalla, E. Mezzetti, J. Abella and F. J. Cazorla,
 "HRM: Merging Hardware Event Monitors for Improved Timing Analysis of
 Complex MPSoCs," in IEEE Transactions on Computer-Aided Design of Integrated
 Circuits and Systems, vol. 39, no. 11, pp. 3662-3673, Nov. 2020,
 <doi:10.1109/TCAD.2020.3013051>. For MUCH: S. Vilardell, I. Serra, E.
 Mezzetti, J. Abella, and F. J. Cazorla. 2021. "MUCH: exploiting pairwise
 hardware event monitor correlations for improved timing analysis of complex
 MPSoCs". In Proceedings of the 36th Annual ACM Symposium on Applied
 Computing (SAC '21). Association for Computing Machinery.
 <doi:10.1145/3412841.3441931>. This work has been supported by the European
 Research Council (ERC) under the European Union's Horizon 2020 research and
 innovation programme (grant agreement No. 772773).

Package: r-cran-merlin
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 785
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-randtoolbox, r-cran-statmod, r-cran-survival
Suggests: r-cran-knitr, r-cran-nlme, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-merlin_0.1.0-1.ca2004.1_all.deb
Size: 622632
MD5sum: b021c25af8e17840cc17a98acc046bf3
SHA1: a3c23d0f6cdbe4119bded35fab63200f900c33cf
SHA256: 4dc8f0c99b2d33ec40d03959caae4b7ee7415c8db67b9bec64c2aa092d480efc
SHA512: 6b56043ed75d69a0511c60c6967ce616280790c479cf977fd6481112f380c6031b1b46c99b9a378505bd35e91532a75076e5fb2cb3e23f4c59c6f348cc80b8d1
Homepage: https://cran.r-project.org/package=merlin
Description: CRAN Package 'merlin' (Mixed Effects Regression for Linear, Non-Linear and User-DefinedModels)
 Fits linear, non-linear, and user-defined mixed effects regression models
 following the framework developed by Crowther (2017) <arXiv:1710.02223>.
 'merlin' can fit multivariate outcome models of any type, each of which
 could be repeatedly measured (longitudinal), with any number of levels, and
 with any number of random effects at each level. Standard
 distributions/models available include the Bernoulli, Gaussian, Poisson,
 beta, negative-binomial, and time-to-event/survival models include the
 exponential, Gompertz, Royston-Parmar, Weibull and general hazard model.
 'merlin' provides a flexible predictor syntax, allowing the user to define
 variables, random effects, spline and fractional polynomial functions,
 functions of other outcome models, and any interaction between each of them.
 Non-linear and time-dependent effects are seamlessly incorporated into the
 predictor. 'merlin' allows multivariate normal random effects, which are
 integrated out using Gaussian quadrature or Monte-Carlo integration. Note,
 'merlin' is based on the 'Stata' package of the same name, described in
 Crowther (2018) <arXiv:1806.01615>.

Package: r-cran-mermboost
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mboost, r-cran-lme4, r-cran-stabs, r-cran-data.table, r-cran-mass, r-cran-matrix, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-mermboost_0.1.1-1.ca2004.1_all.deb
Size: 134248
MD5sum: 8bd14cccc19df031340f3261249b975e
SHA1: 3d30189ff01a6714cc14c3da07778ee8934eb694
SHA256: 4f504fd29233be8b5e6bd06f8768766f615dcd1c742f9ad884fbf5d1292166a5
SHA512: 7180fd3c27c01e344c3c7ad7fcbd2a46082583194a6d41e0021f04a5bd2b8fe46244ee13c0168cbc2631df9538e0a44e35819cf75300f4ff45adaeb92a80268e
Homepage: https://cran.r-project.org/package=mermboost
Description: CRAN Package 'mermboost' (Gradient Boosting for Generalized Additive Mixed Models)
 Provides a novel framework to estimate mixed models via gradient boosting.
 The implemented functions are based on the 'mboost' and 'lme4' packages, and
 the family range is therefore determined by 'lme4'. A correction mechanism
 for cluster-constant covariates is implemented, as well as estimation of the
 covariance of random effects. These methods are described in the
 accompanying publication; see <doi:10.1007/s11222-025-10612-y> for details.

Package: r-cran-mero
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-missforest, r-cran-ggpubr, r-cran-progress, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-mero_0.1.2-1.ca2004.1_all.deb
Size: 18932
MD5sum: 9d540f417ca2675a3e474b8737d30764
SHA1: b5c85001b39724a0fe880b23ff6ebaa836de003a
SHA256: cb078d1bb46a0fd36a4387457a2aa01fa3c7c474fa0661495cca9ff90c6a0a65
SHA512: 95291f6361bedc646f28c7fd7e361b34b25696f4a7d3f8521b2b448f1c0ac4b6764c81589b31bb2ea44a72ec0dd523bc31da15cd7e801dfee3dccc4352a6fa05
Homepage: https://cran.r-project.org/package=MERO
Description: CRAN Package 'MERO' (Performing Monte Carlo Expectation Maximization Random ForestImputation for Biological Data)
 Perform missing value imputation for biological data using the random forest
 algorithm, the imputation aim to keep the original mean and standard
 deviation consistent after imputation.

Package: r-cran-merror
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openmx
Filename: pool/dists/focal/main/r-cran-merror_3.0-1.ca2004.1_all.deb
Size: 141792
MD5sum: 1a00683ba0d0fb6229df32014be9109c
SHA1: 53572c3b494614dbeea97437ca68d66920318c0d
SHA256: fb53f6aa2e8af5cea95a681c6f5152f06dd681b23385588fc19416ada9bdb1c2
SHA512: 246db4a089342570be319110bd491b393b0d2fce6187a36d5a2153b8e254873654b2257e375861482bb0e71c903b19582d901c0715d6bcd095ff549598903dd2
Homepage: https://cran.r-project.org/package=merror
Description: CRAN Package 'merror' (Accuracy and Precision of Measurements)
 N>=3 methods are used to measure each of n items.  The data are used to
 estimate simultaneously systematic error (bias) and random error
 (imprecision). Observed measurements for each method or device are assumed
 to be linear functions of the unknown true values and the errors are assumed
 normally distributed. Pairwise calibration curves and plots can be easily
 generated. Unlike the 'ncb.od' function, the 'omx' function builds a
 one-factor measurement error model using 'OpenMx' and allows missing values,
 uses full information maximum likelihood to estimate parameters, and
 provides both likelihood-based and bootstrapped confidence intervals for all
 parameters, in addition to Wald-type intervals.

Package: r-cran-mertools
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1055
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arm, r-cran-lme4, r-cran-dplyr, r-cran-mvtnorm, r-cran-foreach, r-cran-shiny, r-cran-abind, r-cran-ggplot2, r-cran-blme, r-cran-broom.mixed, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-nlme, r-cran-future.apply, r-cran-rstanarm, r-cran-amelia, r-cran-dt
Filename: pool/dists/focal/main/r-cran-mertools_0.6.2-1.ca2004.1_all.deb
Size: 637552
MD5sum: 8047951eed967e05385d78335765fe09
SHA1: 66eafcd13216c51d1923f133ea51a12087f6606e
SHA256: 845e8589c1fa80154f2e0a669c1054f0192fe5335fad7d25bd6e4c814d772c94
SHA512: 1f1c4461202cef82cb3a7b28e5b3e599f683719cd71e91136ddfcdcd8371d6636955e8d0f1010f9cdc97213722aeecd733c6b50d9864914c72e5208cbbed10be
Homepage: https://cran.r-project.org/package=merTools
Description: CRAN Package 'merTools' (Tools for Analyzing Mixed Effect Regression Models)
 Provides methods for extracting results from mixed-effect model objects fit
 with the 'lme4' package. Allows construction of prediction intervals
 efficiently from large scale linear and generalized linear mixed-effects
 models.  This method draws from the simulation framework used in the Gelman
 and Hill (2007) textbook: Data Analysis Using Regression and
 Multilevel/Hierarchical Models.

Package: r-cran-meshagreement
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1325
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rvcg, r-cran-cgalmeshes
Suggests: r-cran-knitr, r-cran-shiny, r-cran-dt, r-cran-bs4dash, r-cran-sortable, r-cran-rgl, r-cran-boov
Filename: pool/dists/focal/main/r-cran-meshagreement_0.1.4-1.ca2004.1_all.deb
Size: 551964
MD5sum: c67ee1f7870c5bc501b1ba79ac47ab13
SHA1: c53f7c18cdbbebe2b2efd95818b493ea067f9c03
SHA256: 9afeed1da3d93b1edc1ca0d03599d2df1cbd4e37065764b097c0ff9a069ae048
SHA512: b145c38c21381f93f2c226dfa86ee79b6961e441b524853e29cca0de661d630f6f2690e545b1af2a55caf2fd8f6a7013987e99ae47e99b45160edbffc2185b51
Homepage: https://cran.r-project.org/package=MeshAgreement
Description: CRAN Package 'MeshAgreement' (Agreement Measures for 3D Meshes)
 Calculates distance-based and volume-overlap-based agreement measures for
 triangular 3D meshes. These include the Hausdorff distance, the average
 surface distance, the Dice similarity coefficient, and the Jaccard
 similarity coefficient as documented in Stockinger et al. (2021)
 <doi:10.1186/s13014-021-01965-5>. Overall agreement for a set of meshes is
 calculated as the aggregate agreement for all pairwise comparisons. Based on
 algorithms provided by the 'VCGLIB' <http://vcg.isti.cnr.it/vcglib/> and
 'CGAL' <https://www.cgal.org/> libraries.  Includes web-based graphical user
 interface.

Package: r-cran-messaging
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-messaging_0.1.0-1.ca2004.1_all.deb
Size: 31572
MD5sum: 46a02b9dbc39bd9d1176d79c5659e278
SHA1: cd39526fdaf18318ba9a915e4ed9e6c759e689df
SHA256: 3c5ef826266e6ed2beff52a04e3b351769757e7b98488df29b90c72e84d5091f
SHA512: 86e081523b84c25f0edf32ff44e2201bd1a725b19fc28775d5e65924984af0e4550b14e61982d9f2b80dad2d0cfc24e25393dce52613ef76c5a584cbf36f7e05
Homepage: https://cran.r-project.org/package=messaging
Description: CRAN Package 'messaging' (Conveniently Issue Messages, Warnings, and Errors)
 Provides tools for creating and issuing nicely-formatted text within R
 diagnostic messages and those messages given during warnings and errors. The
 formatting of the messages can be customized using templating features.
 Issues with singular and plural forms can be handled through specialized
 syntax.

Package: r-cran-messi
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-patchwork, r-cran-progress
Filename: pool/dists/focal/main/r-cran-messi_0.1.2-1.ca2004.1_all.deb
Size: 237468
MD5sum: 5de13b3d2323b9b7a0d95cbc97e63949
SHA1: 7ebca92841de17b8efe1f94db52be50554aaef1b
SHA256: 164caa8326dcede2887f0bb8575d53047813f11ca8001cdb4bdad883068b8041
SHA512: f0cdfc534b9c9b1ce34b17532e1dd7348ae5c20d0f62153a36efcf4434d3c065355a518dd23d3a6b2bc95b79899f67a3a292a43c9560420cdc01790128fe8e41
Homepage: https://cran.r-project.org/package=messi
Description: CRAN Package 'messi' (Mediation with External Summary Statistic Information)
 Fits the MESSI, hard constraint, and unconstrained models in Boss et al.
 (2023) <doi:10.48550/arXiv.2306.17347> for mediation analyses with external
 summary-level information on the total effect.

Package: r-cran-messy.cats
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-stringdist, r-cran-varhandle, r-cran-rapportools, r-cran-stringr, r-cran-gt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-messy.cats_1.0-1.ca2004.1_all.deb
Size: 96900
MD5sum: 65a5bd29a59a7e123c3f4fe207744764
SHA1: 0069a85ae741d7f400ac2b4fcdd3e45aed9ab89a
SHA256: 82adb26b58079b625c893f7ddb63f6a29c5bcac4605a52f8a4ecd1f7f56c8b88
SHA512: d04ea198707b488770007dea76a8a9925371da9d50a57bb70e5fb7f5ea05f368b446fc5fe381fd4b9b86b1eb55b46c351688291cc900fe3225189fb6823a5cf7
Homepage: https://cran.r-project.org/package=messy.cats
Description: CRAN Package 'messy.cats' (Employs String Distance Tools to Help Clean Categorical Data)
 Matching with string distance has never been easier! 'messy.cats' contains
 various functions that employ string distance tools in order to make data
 management easier for users working with categorical data. Categorical data,
 especially user inputted categorical data that often tends to be plagued by
 typos, can be difficult to work with. 'messy.cats' aims to provide functions
 that make cleaning categorical data simple and easy.

Package: r-cran-messy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-lubridate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-messy_0.1.0-1.ca2004.1_all.deb
Size: 153600
MD5sum: 2c7d26914ce2349b67c9ba1d8a05a0b1
SHA1: 5467ea26b5878e76b1edb35ac54bd31f012a9c6f
SHA256: 52e0b578659d681b15a1c315a7ac6492856c26bbaec7238a5fa6ce3530f700ad
SHA512: 3cff41766a794934f93c44483a27ebc1e270c7653a676256d23ee266374b6f0ed48178f86ef3b725fc557bbb72812289c72bea4eac575dc941e447f0be24af12
Homepage: https://cran.r-project.org/package=messy
Description: CRAN Package 'messy' (Create Messy Data from Clean Data Frames)
 For the purposes of teaching, it is often desirable to show examples of
 working with messy data and how to clean it. This R package creates messy
 data from clean, tidy data frames so that students have a clean example to
 work towards.

Package: r-cran-messydates
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4670
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringi, r-cran-purrr, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-messydates_0.5.4-1.ca2004.1_all.deb
Size: 4642300
MD5sum: 526b6baac6309de8c81421aa440e768e
SHA1: 7791d1e2282ed285099969a8f5c0194fc8dae6e7
SHA256: 62f0b3460030ace9fcfe8579144b37d6f537a748ac7548d16b300850d2abef7a
SHA512: 0bf8fe2da82ce253a33cb8d3ee05730035f63c668383394a70e30c424941eb26d67388351a6c25668b6b597e6cea8c39edd54e5dc2783113d0c315590877773f
Homepage: https://cran.r-project.org/package=messydates
Description: CRAN Package 'messydates' (A Flexible Class for Messy Dates)
 Contains a set of tools for constructing and coercing into and from the
 "mdate" class.  This date class implements ISO 8601-2:2019(E) and allows
 regular dates to be annotated to express unspecified date components,
 approximate or uncertain date components, date ranges, and sets of dates.
 This is useful for describing and analysing temporal information, whether
 historical or recent, where date precision may vary.

Package: r-cran-mestim
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-boot
Filename: pool/dists/focal/main/r-cran-mestim_0.2.1-1.ca2004.1_all.deb
Size: 29788
MD5sum: c1b3e361ac3350ff064877eb23eecd5d
SHA1: 8ebb5fea614521c61fc950e15b1a07ee40d8edfd
SHA256: c5ea23e097cb2a70fa01dfff1a625ae0ecb022912863c290e9231f6708b7ab03
SHA512: 2a331e99b8d0da373e4168c34a9807023bd1188c7142feaf81525183274f2f23c16a132c45d43ea8844c5d4ac3900bab60e5d7b283bedc9dfc86224b6e147364
Homepage: https://cran.r-project.org/package=Mestim
Description: CRAN Package 'Mestim' (Computes the Variance-Covariance Matrix of MultidimensionalParameters Using M-Estimation)
 Provides a flexible framework for estimating the variance-covariance matrix
 of estimated parameters. Estimation relies on unbiased estimating functions
 to compute the empirical sandwich variance. (i.e., M-estimation in the vein
 of Tsiatis et al. (2019) <doi:10.1201/9780429192692>.

Package: r-cran-meta.shrinkage
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-meta.shrinkage_0.1.4-1.ca2004.1_all.deb
Size: 26628
MD5sum: 58d1bb731c7535c31f7f428c17d7a871
SHA1: 6bfd0b4fe4e165eed3b73a612fb94fdea1c3755e
SHA256: f9e868b0558364a721123e2c37c53eb7e7267ef41b54572949f0b0b477bdb992
SHA512: 5a77ab7b907441a64e28bb9902913e47200487846a428e6a74d30ccf740be6d490fd3f359b9e6fc3c819a77f7c42e8ea6a0646639c02bc54fc1a36a5ac37c5e6
Homepage: https://cran.r-project.org/package=meta.shrinkage
Description: CRAN Package 'meta.shrinkage' (Meta-Analyses for Simultaneously Estimating Individual Means)
 Implement meta-analyses for simultaneously estimating individual means with
 shrinkage, isotonic regression and pretests. Include our original
 implementation of the isotonic regression via the pool-adjacent-violators
 algorithm (PAVA) algorithm.  For the pretest estimator, the confidence
 interval for individual means are provided.  Methodologies were published in
 Taketomi et al. (2021) <doi:10.3390/axioms10040267>, Taketomi et al. (2022)
 <doi:10.3390/a15010026>, Taketomi et al. (2023-) (under review).

Package: r-cran-meta4diag
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2722
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-shiny, r-cran-shinybs, r-cran-catools
Filename: pool/dists/focal/main/r-cran-meta4diag_2.1.1-1.ca2004.1_all.deb
Size: 1850472
MD5sum: b45b3c2cdea20211a0c125da46837b2e
SHA1: 45e3364e2710c089e5fadce475098cae9efbc462
SHA256: 880e50af198ee09ba76036a20281e8a5bdf47c04b9300d4cc5e02983006b5fde
SHA512: 22bb70ce753a0a2c8916734e527f9391d01bd60c933a21227f7296c4c54f79dd968beab23d1ed3d59de46c63b8754fcd794fb51d495e6fce0a3d58b068e07556
Homepage: https://cran.r-project.org/package=meta4diag
Description: CRAN Package 'meta4diag' (Meta-Analysis for Diagnostic Test Studies)
 Bayesian inference analysis for bivariate meta-analysis of diagnostic test
 studies using integrated nested Laplace approximation with INLA. A purpose
 built graphic user interface is available. The installation of R package
 INLA is compulsory for successful usage. The INLA package can be obtained
 from <https://www.r-inla.org>. We recommend the testing version, which can
 be downloaded by running: install.packages("INLA",
 repos=c(getOption("repos"),
 INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE).

Package: r-cran-meta
Architecture: all
Version: 8.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2836
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-metadat, r-cran-metafor, r-cran-ggplot2, r-cran-lme4, r-cran-compquadform, r-cran-xml2, r-cran-readr, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-scales
Suggests: r-cran-netmeta, r-cran-biasedurn, r-cran-pimeta, r-cran-estmeansd, r-cran-robvis, r-cran-brglm2, r-cran-writexl, r-cran-rmarkdown, r-cran-knitr, r-cran-ggpubr, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-meta_8.1-0-1.ca2004.1_all.deb
Size: 2639420
MD5sum: 885be6be653ebec4c3080ce9cff37c8c
SHA1: 72d93d186261711c2da905a734ea399ad95fc89b
SHA256: 4d1cbe26a226aa39ee8f587e6ba69f5bd103b0c37fa038e9630dd341a80cb26d
SHA512: 67f01306ef52df77045578e13f94effa4cb0096ec842b2222216634637f3b9aeca46fcf4e92a86bcbfa36a15d67e4735e16da165e9289b235337f2a7508a6677
Homepage: https://cran.r-project.org/package=meta
Description: CRAN Package 'meta' (General Package for Meta-Analysis)
 User-friendly general package providing standard methods for meta-analysis
 and supporting Schwarzer, Carpenter, and Rücker
 <DOI:10.1007/978-3-319-21416-0>, "Meta-Analysis with R" (2015): - common
 effect and random effects meta-analysis; - several plots (forest, funnel,
 Galbraith / radial, L'Abbe, Baujat, bubble); - three-level meta-analysis
 model; - generalised linear mixed model; - logistic regression with
 penalised likelihood for rare events; - Hartung-Knapp method for random
 effects model; - Kenward-Roger method for random effects model; - prediction
 interval; - statistical tests for funnel plot asymmetry; - trim-and-fill
 method to evaluate bias in meta-analysis; - meta-regression; - cumulative
 meta-analysis and leave-one-out meta-analysis; - import data from 'RevMan
 5'; - produce forest plot summarising several (subgroup) meta-analyses.

Package: r-cran-metaanalyser
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ggvis, r-cran-dt, r-cran-rstudioapi
Suggests: r-cran-rmeta
Filename: pool/dists/focal/main/r-cran-metaanalyser_0.2.1-1.ca2004.1_all.deb
Size: 40364
MD5sum: a2f55ac6c6e36d9437e923ef5ed8bea9
SHA1: 74f2c2806406e550492814b054a4d3590e951d3c
SHA256: bff5b5664492260bf7c277ac0e8980823491340a4f4e75138b01dd708b9c3002
SHA512: da5c75ace1519cdc1e63d428e4b58581c57aefa8e4697486fe5c33839aeab7d6594c92adc16e2ff8e6f0b98ba0d8ec7ee8d50a3148e47fda32f97b6fb83da47c
Homepage: https://cran.r-project.org/package=MetaAnalyser
Description: CRAN Package 'MetaAnalyser' (An Interactive Visualisation of Meta-Analysis as a PhysicalWeighing Machine)
 An interactive application to visualise meta-analysis data as a physical
 weighing machine. The interface is based on the Shiny web application
 framework, though can be run locally and with the user's own data.

Package: r-cran-metabel
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metabel_0.2-0-1.ca2004.1_all.deb
Size: 48972
MD5sum: e710505dd8343e6e43df0aae3ff32e3d
SHA1: 7f8df4f9f6387733be2de4df18c251c93fdf2c61
SHA256: b203e6d2e6b881d4e4a56cb5963041c7ae155d93b5987dd226af9f2081673b5f
SHA512: f8ad61bf8219aec89b2acbf1ef49dd1536a86d497c0d1a733dddc2715374e4fdcb280603e9d06ff2225409f2cd8078187f33709b4779894174dad29cfba994dd
Homepage: https://cran.r-project.org/package=MetABEL
Description: CRAN Package 'MetABEL' (Meta-analysis of genome-wide SNP association results)
 A package for meta-analysis of genome-wide association scans between
 quantitative or binary traits and SNPs

Package: r-cran-metabias
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack
Suggests: r-cran-robumeta, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-metabias_0.1.1-1.ca2004.1_all.deb
Size: 22648
MD5sum: cfddaadecb7078466ed04e14b983e31e
SHA1: 709ce4fd1e3998788d7d268a0e2c9e9781b4a237
SHA256: 899c7c543164d8e3a3adf49a58dbd93c104460471b851f17c3f5596763dc46ff
SHA512: 8ce5416fa75fc12866a071578731a2cf6521ccadb903cdbed1a6102bcaef751132f91e7e6b82fdc1dd7ed6a2814a3bef515aa8c8ee3c7ad79a019ae14f013b4f
Homepage: https://cran.r-project.org/package=metabias
Description: CRAN Package 'metabias' (Meta-Analysis for Within-Study and/or Across-Study Biases)
 Provides common components (classes, methods, documentation) for packages
 that conduct meta-analytic corrections and sensitivity analyses for
 within-study and/or across-study biases in meta-analysis. See the packages
 'PublicationBias', 'phacking', and 'multibiasmeta'. These package implement
 methods described in, respectively: Mathur & VanderWeele (2020)
 <doi:10.31219/osf.io/s9dp6>; Mathur (2022) <doi:10.31219/osf.io/ezjsx>;
 Mathur (2022) <doi:10.31219/osf.io/u7vcb>.

Package: r-cran-metablue
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-metablue_1.0.0-1.ca2004.1_all.deb
Size: 31164
MD5sum: 34d2394f9d85157a94ecdf5ef979b1c4
SHA1: b0fc7c8416cdecd04ec13a850422e1bf42ec2875
SHA256: a8b21a8688b0190a5803a88f225cf18c64ba846f56f0596e2ddfb8b653af1071
SHA512: e754699b0c13d2e4b4ea74f6aaa50be3e0b31ac0bb50789b5c32d57806731d5d0a6f8f19362b6db70b36489b9c841c7800bbad90d0f12a02e938203e1ff31355
Homepage: https://cran.r-project.org/package=metaBLUE
Description: CRAN Package 'metaBLUE' (BLUE for Combining Location and Scale Information in aMeta-Analysis)
 The sample mean and standard deviation are two commonly used statistics in
 meta-analyses, but some trials use other summary statistics such as the
 median and quartiles to report the results.  Therefore, researchers need to
 transform those information back to the sample mean and standard deviation.
 This package implemented sample mean estimators by Luo et al. (2016)
 <arXiv:1505.05687>, sample standard deviation estimators by Wan et al.
 (2014) <arXiv:1407.8038>, and the best linear unbiased estimators (BLUEs) of
 location and scale parameters by Yang et al. (2018, submitted) based on
 sample quantiles derived summaries in a meta-analysis.

Package: r-cran-metabodata
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1750
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-magrittr, r-cran-piggyback, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-yaml
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-metabodata_0.6.3-1.ca2004.1_all.deb
Size: 1678192
MD5sum: 4fae55582279c990019b161f0e6bd345
SHA1: 9f53816618d2d3c6ed7b446a5cf548a3b07fa2d2
SHA256: efac7e109c55e9cb0a9963ad47f778791e2ee3f81b4a6431c2a1e781b0090a65
SHA512: bb6fbc53f244c7e4d0d6ebd775ebecedef4cbc37fe3091ca822c1a0e71fc489ad001f31d0d8700dc6ebc19cd9b999cfa889e2bca80baf9b78795e3e600443dd0
Homepage: https://cran.r-project.org/package=metaboData
Description: CRAN Package 'metaboData' (Example Metabolomics Data Sets)
 Data sets from a variety of biological sample matrices, analysed using a
 number of mass spectrometry based metabolomic analytical techniques.  The
 example data sets are stored remotely using GitHub releases
 <https://github.com/aberHRML/metaboData/releases> which can be accessed from
 R using the package.  The package also includes the 'abr1' FIE-MS data set
 from the 'FIEmspro' package <https://users.aber.ac.uk/jhd/>
 <doi:10.1038/nprot.2007.511>.

Package: r-cran-metabodecon
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4514
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-mathjaxr, r-cran-readjdx, r-cran-speaq, r-cran-toscutil, r-cran-withr
Suggests: r-cran-devtools, r-cran-digest, r-cran-knitr, r-cran-lifecycle, r-cran-microbenchmark, r-cran-pkgload, r-cran-rmarkdown, r-cran-usethis, r-cran-vdiffr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metabodecon_1.2.6-1.ca2004.1_all.deb
Size: 2884936
MD5sum: 1af7dca67b5c201819ce52fd5b2f0a96
SHA1: 055176c7d9774f003acad3c2a763d72342a9ad3d
SHA256: 0856892ecf2c15d3bf8a68a0f0f10de66f6d1aed7839321b9c073c6526be3701
SHA512: 62c5dc4a602df612055acb2d107655ad12c3d6561937f1ae2a0de0c562aab0c0f8515180db3e6666870d49efe080df838b0de77ff7cb84931e622ff648b701c0
Homepage: https://cran.r-project.org/package=metabodecon
Description: CRAN Package 'metabodecon' (Deconvolution and Alignment of 1d NMR Spectra)
 A framework for deconvolution, alignment and postprocessing of 1-dimensional
 (1d) nuclear magnetic resonance (NMR) spectra, resulting in a data matrix of
 aligned signal integrals. The deconvolution part uses the algorithm
 described in Koh et al. (2009) <doi:10.1016/j.jmr.2009.09.003>.  The
 alignment part is based on functions from the 'speaq' package, described in
 Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018> and Vu et al.
 (2011) <doi:10.1186/1471-2105-12-405>. A detailed description and evaluation
 of an early version of the package, 'MetaboDecon1D v0.2.2', can be found in
 Haeckl et al. (2021) <doi:10.3390/metabo11070452>.

Package: r-cran-metabolanalyze
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-mvtnorm, r-cran-ellipse, r-cran-gtools, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-metabolanalyze_1.3.1-1.ca2004.1_all.deb
Size: 225592
MD5sum: 5a7089008cd54287c9f78ef2e6c493d4
SHA1: 2873bb1e3902197f366fde3548587e83208875f0
SHA256: ba90514f6b542e6b86edd41294524989e38529414f27e348bd7bf45d4166fc8b
SHA512: ceaddd180ca551bd2f2b4631988fe6ab99a8f7734261d2906c720ae8bb8f9498521780b6b2cdef30621e40199c7636a11627cfd04c92475e6c2430485eda9ce0
Homepage: https://cran.r-project.org/package=MetabolAnalyze
Description: CRAN Package 'MetabolAnalyze' (Probabilistic Latent Variable Models for Metabolomic Data)
 Fits probabilistic principal components analysis, probabilistic principal
 components and covariates analysis and mixtures of probabilistic principal
 components models to metabolomic spectral data.

Package: r-cran-metabolic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-magrittr, r-cran-usethis, r-cran-dplyr, r-cran-ggplot2, r-cran-ggfittext, r-cran-cli, r-cran-forcats, r-cran-ggimage, r-cran-patchwork, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-meta, r-cran-glue, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-here, r-cran-rd2roxygen, r-cran-kableextra, r-cran-fansi, r-cran-downloadthis, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-metabolic_0.1.2-1.ca2004.1_all.deb
Size: 203692
MD5sum: e037550139fb1edf97be82ca2e9decba
SHA1: 69cf3e1516ea544fa8fee625d8a094fd2ccfe452
SHA256: 4622b32e3bdd911fafade58bc8c87ece9fde3b84d52e065fb01566a0aeebf1c9
SHA512: 7bbd5b6185dc5309987cd67fa7963e1603a486af611d522e7529f434c4f349f349abfb00ebd3dbd578e796820a236eebaf8cf1015c10b44903f5b2960e7cfb7a
Homepage: https://cran.r-project.org/package=metabolic
Description: CRAN Package 'metabolic' (Datasets and Functions for Reproducing Meta-Analyses)
 Dataset and functions from the meta-analysis published in Medicine & Science
 in Sports & Exercise.  It contains all the data and functions to reproduce
 the analysis.  "Effectiveness of HIIE versus MICT in Improving
 Cardiometabolic Risk Factors in Health and Disease: A Meta-analysis".
 Felipe Mattioni Maturana, Peter Martus, Stephan Zipfel, Andreas M Nieß
 (2020) <doi:10.1249/MSS.0000000000002506>.

Package: r-cran-metabolicsurv
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-superpc, r-cran-glmnet, r-cran-matrixstats, r-cran-survminer, r-cran-survival, r-cran-rms, r-cran-tidyr, r-cran-pls, r-cran-rdpack, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metabolicsurv_1.1.2-1.ca2004.1_all.deb
Size: 509412
MD5sum: 9757f4cee1cd4770e46b1a228c5e97fe
SHA1: a86fc9a903a0ec05e47b82d37769ad7f1cc27840
SHA256: 850359a48204e10753a6945216b2837b17076761d52a16a8032b5bc1ed126580
SHA512: cd19e8e71529912b289b2d04abfe3ead9096b0932c58cd77a0dd832d7a97dad347de9088a3935b93f4fd1629290ce508a5e55a65aa8d97e2cdae652a2275ae09
Homepage: https://cran.r-project.org/package=MetabolicSurv
Description: CRAN Package 'MetabolicSurv' (A Biomarker Validation Approach for Classification andPredicting Survival Using Metabolomics Signature)
 An approach to identifies metabolic biomarker signature for metabolic data
 by discovering predictive metabolite for predicting survival and classifying
 patients into risk groups.  Classifiers are constructed as a linear
 combination of predictive/important metabolites, prognostic factors and
 treatment effects if necessary.  Several methods were implemented to reduce
 the metabolomics matrix such as the principle component analysis of Wold
 Svante et al. (1987) <doi:10.1016/0169-7439(87)80084-9> , the LASSO method
 by Robert Tibshirani (1998)
 <doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3>,
 the elastic net approach by Hui Zou and Trevor Hastie (2005)
 <doi:10.1111/j.1467-9868.2005.00503.x>.  Sensitivity analysis on the
 quantile used for the classification can also be accessed to check the
 deviation of the classification group based on the quantile specified.
 Large scale cross validation can be performed in order to investigate the
 mostly selected predictive metabolites and for internal validation. During
 the evaluation process, validation is accessed using the hazard ratios (HR)
 distribution of the test set and inference is mainly based on resampling and
 permutations technique.

Package: r-cran-metabolicsyndrome
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metabolicsyndrome_0.1.3-1.ca2004.1_all.deb
Size: 14440
MD5sum: ea8f554878656c15258c7b47500ec1fe
SHA1: d2494c2869ffcb289798fc87f3e97c3b7fd78bcb
SHA256: 8ef9d82d6ad9365f897e224eb5399c0a20f2e4e3f8d824fe1a70b293f1d187e5
SHA512: 0203c7944b8a362f55c3eaeef9229853fe9a4ba8d5a074b46cb8c70c1e8744ce8526d9c9cba51de3d9f99f8efa41d794561a573c5635a94fcbf8207247e5fa60
Homepage: https://cran.r-project.org/package=MetabolicSyndrome
Description: CRAN Package 'MetabolicSyndrome' (Diagnosis of Metabolic Syndrome)
 The modified Adult Treatment Panel -III guidelines (ATP-III) proposed by
 American Heart Association (AHA) and National Heart, Lung and Blood
 Institute (NHLBI) are used widely for the clinical diagnosis of Metabolic
 Syndrome. The AHA-NHLBI criteria advise using parameters such as waist
 circumference (WC), systolic blood pressure (SBP), diastolic blood pressure
 (DBP), fasting plasma glucose (FPG), triglycerides (TG) and high-density
 lipoprotein cholesterol (HDLC) for diagnosis of metabolic syndrome. Each
 parameter has to be interpreted based on the proposed cut-offs, making the
 diagnosis slightly complex and error-prone. This package is developed by
 incorporating the modified ATP-III guidelines, and it will aid in the easy
 and quick diagnosis of metabolic syndrome in busy healthcare settings and
 also for research purposes. The modified ATP-III-AHA-NHLBI criteria for the
 diagnosis is described by Grundy et al ., (2005)
 <doi:10.1161/CIRCULATIONAHA.105.169404>.

Package: r-cran-metabolighter
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-dplyr, r-cran-purrr, r-cran-crayon
Suggests: r-cran-covr, r-cran-testthat, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-metabolighter_0.1.3-1.ca2004.1_all.deb
Size: 149360
MD5sum: 03a43ba31e2140772f2f14a037afe77b
SHA1: b23b3698659d918e001f54ac6981bda4d354dbb3
SHA256: 985d438240f933bf903c8901b53743a83ac3ec5ac75d65733630607ab4547c1f
SHA512: f07f06d1387316d1be0a58e602d61ffcacc1601be2579f0bf89ea42f1db1ca9004487e01d2f4efc6088c12ad16cc00ef6475c09da94200493a6cd8b9a8834959
Homepage: https://cran.r-project.org/package=metabolighteR
Description: CRAN Package 'metabolighteR' (Interface to the 'Metabolights' REST API)
 Access to the 'Metabolights' REST API
 <https://www.ebi.ac.uk/metabolights/index>. Retrieve elements of publicly
 available 'Metabolights' studies.

Package: r-cran-metabolomicsbasics
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-c50, r-cran-caret, r-cran-e1071, r-cran-interpretmsspectrum, r-bioc-pcamethods, r-cran-plyr, r-cran-rpart, r-cran-rlang, r-cran-webchem
Suggests: r-bioc-mixomics, r-bioc-ropls, r-bioc-xcms
Filename: pool/dists/focal/main/r-cran-metabolomicsbasics_1.4.5-1.ca2004.1_all.deb
Size: 307360
MD5sum: ae16e8f7dc892871218406f6d6f9ef0e
SHA1: 55b42228a262daba5490d52a50518f147407518b
SHA256: 733097198bdb22e440a1769a11de5282dd62b9b82bbdbf03d7b5489919f9bc73
SHA512: 3ecb856e798753d43f2c54a2eb86c434959e1dfe86f86ab4595dec3358553b83c239e7d1d5ac51026f2d4151d4b4cfe1736e3eb8f9adc502aee8172bad166397
Homepage: https://cran.r-project.org/package=MetabolomicsBasics
Description: CRAN Package 'MetabolomicsBasics' (Basic Functions to Investigate Metabolomics Data Matrices)
 A set of functions to investigate raw data from (metabol)omics experiments
 intended to be used on a raw data matrix, i.e. following peak picking and
 signal deconvolution. Functions can be used to normalize data, detect
 biomarkers and perform sample classification. A detailed description of best
 practice usage may be found in the publication
 <doi:10.1007/978-1-4939-7819-9_20>.

Package: r-cran-metabolomicsr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2524
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-plotroc
Suggests: r-cran-ggthemes, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lme4, r-cran-nlme, r-cran-broom, r-cran-reshape2, r-bioc-impute, r-bioc-m3c, r-cran-fnn, r-cran-rcolorbrewer, r-cran-readxl, r-cran-survival, r-cran-future, r-cran-pbapply, r-cran-future.apply, r-cran-progressr, r-cran-ggrepel, r-cran-here, r-cran-ggstatsplot, r-cran-cowplot, r-cran-proc, r-bioc-biocstyle, r-cran-mass, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-metabolomicsr_1.0.0-1.ca2004.1_all.deb
Size: 1704412
MD5sum: 9c980d1e84d037b7f2735f95fc9f4944
SHA1: 18f351903c31bed8817b5195e904c0746c026c27
SHA256: dbc6b89ff1d048b39520e0acf087458e993504d0ef405b2f271d8ecc7a39dbef
SHA512: f296d5676d748bad62b89728ac985dcf23cb172f7713cbf5e12e3a8d756d8585963067200d64af33b9a80f642ece5c1d6e6acea6bfc265e0efdaf723b99fdcf9
Homepage: https://cran.r-project.org/package=metabolomicsR
Description: CRAN Package 'metabolomicsR' (Tools for Metabolomics Data)
 Tools to preprocess, analyse, and visualize metabolomics data.  We included
 a set of functions for sample and metabolite quality control, outlier
 detection, missing value imputation, dimensional reduction, normalization,
 data integration, regression, metabolite annotation, enrichment analysis,
 and visualization of data and results. The package is designed to be a
 comprehensive R package that can be easily used by researchers with basic R
 programming skills.  The framework designed here is versatile and is
 extensible to other various methods.

Package: r-cran-metabolssmf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-laplacesdemon, r-cran-nmf, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-lsei, r-cran-mclust, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-caroline, r-cran-ggsci, r-cran-biocmanager, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-metabolssmf_0.1.0-1.ca2004.1_all.deb
Size: 917472
MD5sum: 34e02f2088c0fc53872a35d2b81e14d3
SHA1: 30a7243553c361539b01d87c07155e1dd602a089
SHA256: 5afef9aab118d3016e483aed2ab7afc112a7fa96c916a7b271616a695680a6cd
SHA512: 5d9cf29986c611550f0a05f8b57f35d3a3157714449622596e05ee721c3ccbdcf72f4d6a84a606a0a36fbdf00c3dccc187df850ae12c4d85689e0ce565701182
Homepage: https://cran.r-project.org/package=MetabolSSMF
Description: CRAN Package 'MetabolSSMF' (Simplex-Structured Matrix Factorisation for MetabolomicsAnalysis)
 Provides a framework to perform soft clustering using simplex-structured
 matrix factorisation (SSMF). The package contains a set of functions for
 determining the optimal number of prototypes, the optimal algorithmic
 parameters, the estimation confidence intervals and the diversity of
 clusters.  Abdolali, Maryam & Gillis, Nicolas (2020)
 <doi:10.1137/20M1354982>.

Package: r-cran-metaboqc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-metaboqc_1.1-1.ca2004.1_all.deb
Size: 54500
MD5sum: 077ca25de2960bd14f62024568727e50
SHA1: 08d07161ae587dbaf2b068a14225a0a0492e40e2
SHA256: fb78bf99d5400e0b797ee98095ae81503416d62bd6dfb97513fd061a992b77b8
SHA512: 593c5960d168e4cea1268251813f9c17d8190f7473226a7350f56e6ac3b678b9edeb69d8b204bc891a4a845c29c4703741628aef7925faa1ac2ff74d34f5e692
Homepage: https://cran.r-project.org/package=MetaboQC
Description: CRAN Package 'MetaboQC' (Normalize Metabolomic Data using QC Signal)
 Takes QC signal for each day and normalize metabolomic data that has been
 acquired in a certain period of time. At least three QC per day are
 required.

Package: r-cran-metabup
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-partitions
Filename: pool/dists/focal/main/r-cran-metabup_0.1.3-1.ca2004.1_all.deb
Size: 22012
MD5sum: 191034957d13eff2249c856dcc4f4252
SHA1: f221f5dd0d15c2ce9be5b253ec890bf3a2dc68c1
SHA256: cbe28189e341e02f874fa8c1496eefb4b0ff92849647454fbe15c32fdb7cb043
SHA512: a5c5567f499a5a7d55b1308c79c9c3caea9bee8c078a33d20b77085bfca3c399088705e926f5cc3ccd7dfeb2872e3db375b2aa8c3ace8b9378623b46dfbda8d1
Homepage: https://cran.r-project.org/package=metabup
Description: CRAN Package 'metabup' (Bayesian Meta-Analysis Using Basic Uncertain Pooling)
 Contains functions that allow Bayesian meta-analysis (1) with binomial data,
 counts(y) and total counts (n) or, (2) with user-supplied point estimates
 and associated variances.  Case (1) provides an analysis based on the logit
 transformation of the sample proportion. This methodology is also
 appropriate for combining data from sample surveys and related sources. The
 functions can calculate the corresponding similarity matrix. More details
 can be found in Cahoy and Sedransk (2023), Cahoy and Sedransk (2022)
 <doi:10.1007/s42519-018-0027-2>, Evans and Sedransk (2001)
 <doi:10.1093/biomet/88.3.643>, and Malec and Sedransk (1992)
 <doi:10.1093/biomet/79.3.593>.

Package: r-cran-metacluster
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factoextra, r-cran-cluster, r-cran-dbscan, r-cran-dplyr, r-cran-seqinr, r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-metacluster_0.1.1-1.ca2004.1_all.deb
Size: 66688
MD5sum: 6faeeb1c7bd73342354ea36c4ab1554c
SHA1: cdab2295171ec1f3820c2d50e28839db74a387e7
SHA256: 89808c889ffa7926fdf986c0d5f8050494b3f9118d25ae96c75333d417c2389a
SHA512: 34dd73013214f1cb528750976834c6ac6885fc1b2eb0aaad2e1f35cb33f4a311f03fceecc36b74fc946b24d2a5d5e9541c5f0a14f3364cd19bb2bfb75a49617b
Homepage: https://cran.r-project.org/package=metaCluster
Description: CRAN Package 'metaCluster' (Metagenomic Clustering)
 Clustering in metagenomics is the process of grouping of microbial contigs
 in species specific bins. This package contains functions that extract
 genomic features from metagenome data, find the number of clusters for that
 given data and find the best clustering algorithm for binning.

Package: r-cran-metacom
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metacom_1.5.3-1.ca2004.1_all.deb
Size: 63040
MD5sum: 0b8a64a7268efd6e84025f80f5b7020d
SHA1: 8d84c21de7617ebbc0c11e53d6bf21c020d04d89
SHA256: 3e5cb1a2d22893de171d00490d0522ad2947adf535412a8921264c14af0e6b36
SHA512: 7b7ded3c9c5599aa20d64865f65e5788527adb0bdaa3ce4ff130915603f71f01332a2dd3d12a1f8371ccb19ecf57d48ce01bb57964f966af4fa32e1513fe8fa2
Homepage: https://cran.r-project.org/package=metacom
Description: CRAN Package 'metacom' (Analysis of the 'Elements of Metacommunity Structure')
 Functions to analyze coherence, boundary clumping, and turnover following
 the pattern-based metacommunity analysis of Leibold and Mikkelson 2002
 <doi:10.1034/j.1600-0706.2002.970210.x>. The package also includes functions
 to visualize ecological networks, and to calculate modularity as a
 replacement to boundary clumping.

Package: r-cran-metacomp
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-plyr, r-cran-dplyr, r-cran-data.table, r-cran-ggplot2, r-cran-cairo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metacomp_1.1.2-1.ca2004.1_all.deb
Size: 237084
MD5sum: 81a9b17c0bc53dfb413010c171c45417
SHA1: d6fdbb34db669ddea3c59a10df46021bc109cac6
SHA256: 814e6b84db26807ac53974100c00a43a075558491fab82793f034e81f4594aca
SHA512: 20dcec45ff1dab5a32c75c09a170c5d79d7bbc5ad323f4111f7a44b9c66caa421ebafb3b4b1cad433a6e05e0728ad4563edbb2af291b90e78613f647bc9a701b
Homepage: https://cran.r-project.org/package=MetaComp
Description: CRAN Package 'MetaComp' (EDGE Taxonomy Assignments Visualization)
 Implements routines for metagenome sample taxonomy assignments collection,
 aggregation, and visualization. Accepts the EDGE-formatted output from
 GOTTCHA/GOTTCHA2, BWA, Kraken, MetaPhlAn, DIAMOND, and Pangia. Produces SVG
 and PDF heatmap-like plots comparing taxa abundances across projects.

Package: r-cran-metaconfoundr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2384
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-metafor, r-cran-patchwork, r-cran-readr, r-cran-rio, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-metaconfoundr_0.1.2-1.ca2004.1_all.deb
Size: 1778136
MD5sum: 0a1320e8f3f5aab8f1e3633b9ebbfb94
SHA1: d33fe2b9ea6a594aadd83818034d6bd297d68254
SHA256: 1a22eb066837a46b10c450c92554569478ebbfee69ef7b6feb95c7205c2d7bf2
SHA512: 487f2871ae483e24eaac77c66aa2d59354e49d72fbd5f38cd88a47c0c31dc04675039bbeafe1314fa203119a95eb71dc802cf905cad2c5b85619e26aebd0ecb6
Homepage: https://cran.r-project.org/package=metaconfoundr
Description: CRAN Package 'metaconfoundr' (Visualize 'Confounder' Control in Meta-Analyses)
 Visualize 'confounder' control in meta-analysis.  'metaconfoundr' is an
 approach to evaluating bias in studies used in meta-analyses based on the
 causal inference framework. Study groups create a causal diagram displaying
 their assumptions about the scientific question. From this, they develop a
 list of important 'confounders'. Then, they evaluate whether studies
 controlled for these variables well. 'metaconfoundr' is a toolkit to
 facilitate this process and visualize the results as heat maps, traffic
 light plots, and more.

Package: r-cran-metaconvert
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-comparedf, r-cran-metafor, r-cran-mvtnorm, r-cran-estimraw, r-cran-rio
Suggests: r-cran-testthat, r-cran-metaumbrella, r-cran-toster, r-cran-esc, r-cran-epir, r-cran-compute.es, r-cran-meta, r-cran-effectsize, r-cran-metautility, r-cran-knitr, r-cran-dt, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metaconvert_1.0.3-1.ca2004.1_all.deb
Size: 792136
MD5sum: 6b3cbbed2c844e666230b50b17650a7c
SHA1: 25171bc30fcc74f02edf1bf86c39991179b93c49
SHA256: 44cc2737ed56a04784686b2bd14b13a9741137eb3430398743e6edcb9e1412ac
SHA512: b847795c864e5ecbf2791423ba3964901b717d0a1f8e6b938a5eaa467b255b12610769f7d6575171f985b09b994f63be8544bcbc6ae41b37eee5dc61681d65ea
Homepage: https://cran.r-project.org/package=metaConvert
Description: CRAN Package 'metaConvert' (An Automatic Suite for Estimation of Various Effect SizeMeasures)
 Automatically estimate 11 effect size measures from a well-formatted
 dataset. Various other functions can help, for example, removing dependency
 between several effect sizes, or identifying differences between two
 datasets.  This package is mainly designed to assist in conducting a
 systematic review with a meta-analysis but can be useful to any researcher
 interested in estimating an effect size.

Package: r-cran-metacor
Architecture: all
Version: 1.0-2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmeta, r-cran-gsl
Filename: pool/dists/focal/main/r-cran-metacor_1.0-2.1-1.ca2004.1_all.deb
Size: 24784
MD5sum: a4b4b9f188188ed2aae7e93caa1bf079
SHA1: 38117346a96bfc30c5edb7caf56fbc955e0ade0c
SHA256: 574a2269f926d1d399a3210ea6e55af2c345671a88b48c710e613232afbe44f1
SHA512: 147a05f017947cbd7447141597b592d9acbaa7841e323e296d2e64a72abbf72f8724fdb5a05f2df0dfbd9abd514838e13aede51d05e98b562b3fa68c8b84ca8c
Homepage: https://cran.r-project.org/package=metacor
Description: CRAN Package 'metacor' (Meta-Analysis of Correlation Coefficients)
 Implement the DerSimonian-Laird (DSL) and Olkin-Pratt (OP) meta-analytical
 approaches with correlation coefficients as effect sizes.

Package: r-cran-metacore
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3030
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-xml2, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-metacore_0.1.3-1.ca2004.1_all.deb
Size: 1327424
MD5sum: 1880b5698f068b68f8b4b7d66f8b1238
SHA1: 30b906ac5a32b84e1ecaf5d9d5700c6a7b259956
SHA256: 6bf6daee4b29cc2c77e0b90ea46987b555dee144946825bff5c7a550046bff2f
SHA512: b529a8a1a9347808f386763e9a39a2cb590b301c2dd0062fe30a58b7114b0a915432cc9aaaf4f8f82b028d684126748ec1e32cbef549eb74f55c527561c21f8a
Homepage: https://cran.r-project.org/package=metacore
Description: CRAN Package 'metacore' (A Centralized Metadata Object Focus on Clinical Trial DataProgramming Workflows)
 Create an immutable container holding metadata for the purpose of better
 enabling programming activities and functionality of other packages within
 the clinical programming workflow.

Package: r-cran-metaculr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-progress, r-cran-tidyr, r-cran-verification, r-cran-clipr, r-cran-spatstat.geom, r-cran-ggrepel, r-cran-assertthat, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metaculr_0.4.1-1.ca2004.1_all.deb
Size: 431100
MD5sum: 72a2c021cd9699c6917680df524272b4
SHA1: a3cb54437d0d51a122f6f431628ebedd25032eee
SHA256: 72b1a7a34f7f708cb890971cabe295642ecd737f5f81a0c57f2aff18200380c3
SHA512: 5dff232c682a1e61ba86095717cdf844b026fb1a22fdb7b521afa639417da25fb71a4ecc3012b4491a53d2b4793a1da487dc9508537b271ec6fa187b0b0fcc11
Homepage: https://cran.r-project.org/package=MetaculR
Description: CRAN Package 'MetaculR' (Analyze Metaculus Predictions and Questions)
 Login, download, and analyze questions predicted by you and/or the Metaculus
 community by interacting with the Metaculus API, currently located at
 <https://www.metaculus.com/api2/>.

Package: r-cran-metacycle
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gnm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metacycle_1.2.0-1.ca2004.1_all.deb
Size: 1029264
MD5sum: d042f8be004304b61d3919156d8e0c56
SHA1: 143663834c6b8e99c7d8e121916e6eabdaaeaeee
SHA256: 979eeaf9f393900d69b75e96de4e0de29f15b56fdf63230e1c46f241854a52fb
SHA512: a8c7143f54235d73732e7817a0f7b415f5e7d6734f19c18465c06a04130fe6cd18550cef0599ad3731492fd04697b0ceb1f4ea9007965f83cdca29cdc0df1cee
Homepage: https://cran.r-project.org/package=MetaCycle
Description: CRAN Package 'MetaCycle' (Evaluate Periodicity in Large Scale Data)
 There are two functions-meta2d and meta3d for detecting rhythmic signals
 from time-series datasets. For analyzing time-series datasets without
 individual information, 'meta2d' is suggested, which could incorporates
 multiple methods from ARSER, JTK_CYCLE and Lomb-Scargle in the detection of
 interested rhythms. For analyzing time-series datasets with individual
 information, 'meta3d' is suggested, which takes use of any one of these
 three methods to analyze time-series data individual by individual and gives
 out integrated values based on analysis result of each individual.

Package: r-cran-metadat
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mathjaxr
Suggests: r-cran-metafor, r-cran-numderiv, r-cran-biasedurn, r-cran-dfoptim, r-cran-igraph, r-cran-ape, r-cran-testthat, r-cran-digest, r-cran-lme4, r-cran-clubsandwich, r-cran-meta, r-cran-netmeta, r-cran-mvtnorm, r-cran-gridextra, r-cran-rms, r-cran-bayesmeta, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-metadat_1.4-0-1.ca2004.1_all.deb
Size: 892796
MD5sum: a40d61b67f33bbdf9c7d8ace37fe295e
SHA1: 8ce42e7ca0b112759413c6532d4b907e6b566929
SHA256: a8cff005e4855133b1571831d0932206ed43446f873d2cf92f00f28cd37c8c09
SHA512: 10256aaa4cbf70bab7949200b78403c86f34af7d17727ba94e82143f2ec7ff48286a633d0590400b48c864da9c7051da4a064dfecfecb05521cabbfcb80ad9e5
Homepage: https://cran.r-project.org/package=metadat
Description: CRAN Package 'metadat' (Meta-Analysis Datasets)
 A collection of meta-analysis datasets for teaching purposes,
 illustrating/testing meta-analytic methods, and validating published
 analyses.

Package: r-cran-metadbparse
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 682
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-rcurl, r-cran-xml, r-cran-sparql, r-cran-pacman, r-cran-rcdk, r-cran-rjava, r-cran-pbapply, r-cran-envipat, r-cran-data.table, r-cran-rsqlite, r-cran-dbi, r-cran-gsubfn, r-cran-stringr, r-cran-wikidataqueryservicer, r-cran-webchem, r-cran-jsonlite, r-cran-r.utils, r-bioc-keggrest, r-cran-zip, r-bioc-chemminer, r-cran-xml2, r-cran-stringi, r-cran-reshape2, r-cran-hmisc, r-cran-httr, r-cran-rjsonio, r-cran-readxl, r-cran-cmmr, r-cran-progress, r-bioc-rdisop, r-cran-rlist
Filename: pool/dists/focal/main/r-cran-metadbparse_2.0.0-1.ca2004.1_all.deb
Size: 650752
MD5sum: 8f286a513aed394d243a62c3c65aa447
SHA1: 566252e465792b7e23e13cb0138fa8d026fc84ab
SHA256: 72cffb5cab0570232c067d1fb8d9b0470e0668d254aed6b05202fc9176bbeab2
SHA512: b902b0c814daa8c0e6f933de7b3d482414564126f51201424664e44c60c9e98a73c997585494119b3aace2935b466d4ac47183c441bfd4fcafa92a84416caf38
Homepage: https://cran.r-project.org/package=MetaDBparse
Description: CRAN Package 'MetaDBparse' (Annotate Mass over Charge Values with Databases and FormulaPrediction)
 Provides parsing functionality for over 30 metabolomics databases, with most
 available without having to create an account on given websites.  Once
 parsed, calculates given adducts and isotope patterns and inserts into one
 big database which can be used to annotate unknown m/z values.  Furthermore,
 formulas can be predicted for a given m/z, and these can be matched to
 ChemSpider, PubChem, SUPERNATURAL II, KNApSAcK and ChemIDplus for further
 annotation.  Current databases available: HMDB, ChEBI, LMDB, BMDB, MCDB,
 ECMDB, Wikidata, mVOC, VMH, T3DB, Exposome Explorer, FooDB, MetaCyc
 (requires account), DrugBank (requires account), ReSPECT, MaConDa, Blood
 Exposome DB, KEGG, SMPDB, LIPID MAPS, MetaboLights, DimeDB, Phenol Explorer,
 MassBank, YMDB, PAMDB, ANPDB, Metabolomics Workbench, PharmGKB, Reactome,
 mVOC and STOFF.  Featured in the 'MetaboShiny' package (Wolthuis, J. (2019)
 <doi:10.1007/s11306-020-01717-8>).

Package: r-cran-metadeconfoundr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-detectseparation, r-cran-lmtest, r-cran-foreach, r-cran-doparallel, r-cran-futile.logger, r-cran-lme4, r-cran-ggplot2, r-cran-reshape2, r-cran-rlang
Suggests: r-cran-pander, r-cran-knitr, r-cran-gridextra, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-metadeconfoundr_1.0.2-1.ca2004.1_all.deb
Size: 553088
MD5sum: bff665aac08c3f33ad2bb497abb6dbb0
SHA1: 66580f9730dddd365139c9efe3f8768c7625bc9f
SHA256: 06bb94a216c9948e1fd729a254b4fd66850d499236a57ff10cc5ca4b24a3d8ec
SHA512: 2472ab1e7c7d0c47d26bcca28475468cfc817a10fad7c6e5a6ec2b2daf81e112e24c275a3c8170589b1bcffb95a362a1401a7aa1ec5a5d4addc92c207a6f8ab1
Homepage: https://cran.r-project.org/package=metadeconfoundR
Description: CRAN Package 'metadeconfoundR' (Covariate-Sensitive Analysis of Cross-Sectional High-DimensionalData)
 Using non-parametric tests, naive associations between omics features and
 metadata in cross-sectional data-sets are detected. In a second step,
 confounding effects between metadata associated to the same omics feature
 are detected and labeled using nested post-hoc model comparison tests, as
 first described in Forslund, Chakaroun, Zimmermann-Kogadeeva, et al. (2021)
 <doi:10.1038/s41586-021-04177-9>.  The generated output can be graphically
 summarized using the built-in plotting function.

Package: r-cran-metadigitise
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magick, r-cran-purrr
Suggests: r-cran-mockery, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metadigitise_1.0.1-1.ca2004.1_all.deb
Size: 425348
MD5sum: f33f966d5299a6bcb0f9d71739c906c9
SHA1: f50bbb03f79b63da795979e93e3869fce6e7da56
SHA256: cee7fcc8c75f4b83fc5bcbb6fef35dc02d6d94a57e22f4d97393da74e475f15c
SHA512: 799f516ec48d44bb09fb4c86129e90da73381b16deff6edd1e230f6c69ffa4e6fee6ac14ab8a57a84dc8e0e2de3e04e6562be589e6b504785d2d35e526182a2d
Homepage: https://cran.r-project.org/package=metaDigitise
Description: CRAN Package 'metaDigitise' (Extract and Summarise Data from Published Figures)
 High-throughput, flexible and reproducible extraction of data from figures
 in primary research papers. metaDigitise() can extract data and / or
 automatically calculate summary statistics for users from box plots, bar
 plots (e.g., mean and errors), scatter plots and histograms.

Package: r-cran-metaensembler
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 980
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridextra, r-cran-caret, r-cran-ggplot2, r-cran-e1071, r-cran-gbm, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-metaensembler_0.1.0-1.ca2004.1_all.deb
Size: 403528
MD5sum: c0e4f6fe59940e9b3e1e622f4a820641
SHA1: 5221d7a2183aeb8bef129cb66213928e928661dc
SHA256: afa5cbc2b998a36bfcb65f349795080ce2946ed875e0bf4540c33d2e6735b792
SHA512: 316c32b1fa6a9338dd60207ca0ff3ea2f62976d9cf6565b851e6922bbcb1199f00f9f3f1fe98effcb8de1c49a0938cd1f86586b9dbc6a6aea47d30a3df18dec0
Homepage: https://cran.r-project.org/package=metaEnsembleR
Description: CRAN Package 'metaEnsembleR' (Automated Intuitive Package for Meta-Ensemble Learning)
 Extends the base classes and methods of 'caret' package for integration of
 base learners. The user can input the number of different base learners, and
 specify the final learner, along with the train-validation-test data
 partition split ratio. The predictions on the unseen new data is the
 resultant of the ensemble meta-learning
 <https://machinelearningmastery.com/stacking-ensemble-machine-learning-with-python/>
 of the heterogeneous learners aimed to reduce the generalization error in
 the predictive models. It significantly lowers the barrier for the
 practitioners to apply heterogeneous ensemble learning techniques in an
 amateur fashion to their everyday predictive problems.

Package: r-cran-metafor
Architecture: all
Version: 4.8-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5425
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-metadat, r-cran-numderiv, r-cran-nlme, r-cran-mathjaxr, r-cran-pbapply, r-cran-digest
Suggests: r-cran-lme4, r-cran-pracma, r-cran-minqa, r-cran-nloptr, r-cran-dfoptim, r-cran-ucminf, r-cran-lbfgsb3c, r-cran-subplex, r-cran-bb, r-cran-rsolnp, r-cran-alabama, r-cran-optimparallel, r-cran-optimx, r-cran-compquadform, r-cran-mvtnorm, r-cran-biasedurn, r-cran-epi, r-cran-survival, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-car, r-cran-multcomp, r-cran-gsl, r-cran-sp, r-cran-ape, r-cran-boot, r-cran-clubsandwich, r-cran-crayon, r-cran-r.rsp, r-cran-testthat, r-cran-rmarkdown, r-cran-wildmeta, r-cran-emmeans, r-cran-estmeansd, r-cran-metablue, r-cran-rstudioapi, r-cran-glmulti, r-cran-mumin, r-cran-mice, r-cran-amelia, r-cran-calculus
Filename: pool/dists/focal/main/r-cran-metafor_4.8-0-1.ca2004.1_all.deb
Size: 5061996
MD5sum: 166558b8fe689c5d571e92e7a5dee3e8
SHA1: 5ec9911516490b74b3c22964b87fcbccc1ab7c50
SHA256: 7f45eb91bc9c4d7e7830fc65d07194582bdfa1c6b3cd0b39faaaa809621f81da
SHA512: 5ce60852c6f822796686ece9f786b3ade303ca4e156f4d9a1dc2940d6167ed35963efdd2e484a8cb060f5e3b390c5a67a34a57a6a6c88aa6ea5440f6beb1abd0
Homepage: https://cran.r-project.org/package=metafor
Description: CRAN Package 'metafor' (Meta-Analysis Package for R)
 A comprehensive collection of functions for conducting meta-analyses in R.
 The package includes functions to calculate various effect sizes or outcome
 measures, fit equal-, fixed-, random-, and mixed-effects models to such
 data, carry out moderator and meta-regression analyses, and create various
 types of meta-analytical plots (e.g., forest, funnel, radial, L'Abbe,
 Baujat, bubble, and GOSH plots). For meta-analyses of binomial and
 person-time data, the package also provides functions that implement
 specialized methods, including the Mantel-Haenszel method, Peto's method,
 and a variety of suitable generalized linear (mixed-effects) models (i.e.,
 mixed-effects logistic and Poisson regression models). Finally, the package
 provides functionality for fitting meta-analytic multivariate/multilevel
 models that account for non-independent sampling errors and/or true effects
 (e.g., due to the inclusion of multiple treatment studies, multiple
 endpoints, or other forms of clustering). Network meta-analyses and
 meta-analyses accounting for known correlation structures (e.g., due to
 phylogenetic relatedness) can also be conducted. An introduction to the
 package can be found in Viechtbauer (2010) <doi:10.18637/jss.v036.i03>.

Package: r-cran-metaforest
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-metafor, r-cran-ranger, r-cran-data.table, r-cran-gtable
Suggests: r-cran-testthat, r-cran-caret, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-metaforest_0.1.4-1.ca2004.1_all.deb
Size: 171384
MD5sum: 5bc8b61a527da78f474300427234bea8
SHA1: a3e12958c2241b7f27eb435a3d013ba364f2e5d5
SHA256: fd57406084e8cd1a536ebf1211578add8fbf8f0252fa3f23bb13e79d72c24815
SHA512: 117c865e3003212d489f6013798d76584a018b5cecd8cd05c5d04ecea1fc47f471dde49e2c2aae6804ec1a992265339f486d78df8ef8c1a0eaa1083c98cfe03c
Homepage: https://cran.r-project.org/package=metaforest
Description: CRAN Package 'metaforest' (Exploring Heterogeneity in Meta-Analysis using Random Forests)
 Conduct random forests-based meta-analysis, obtain partial dependence plots
 for metaforest and classic meta-analyses, and cross-validate and tune
 metaforest- and classic meta-analyses in conjunction with the caret package.
 A requirement of classic meta-analysis is that the studies being aggregated
 are conceptually similar, and ideally, close replications. However, in many
 fields, there is substantial heterogeneity between studies on the same
 topic. Classic meta-analysis lacks the power to assess more than a handful
 of univariate moderators. MetaForest, by contrast, has substantial power to
 explore heterogeneity in meta-analysis. It can identify important moderators
 from a larger set of potential candidates (Van Lissa, 2020). This is an
 appealing quality, because many meta-analyses have small sample sizes.
 Moreover, MetaForest yields a measure of variable importance which can be
 used to identify important moderators, and offers partial prediction plots
 to explore the shape of the marginal relationship between moderators and
 effect size.

Package: r-cran-metafuse
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-mass, r-cran-evd
Filename: pool/dists/focal/main/r-cran-metafuse_2.0-1-1.ca2004.1_all.deb
Size: 65588
MD5sum: a79aaa28d40fdff921d3dc1266c0ae31
SHA1: 0c493223be8a0fab143a8e15965fe669e0d93a14
SHA256: 05c3ee57e568ea826f04297c70e069c2133cb63896cb5054fa7d45a0384acb86
SHA512: 0c57db1c56bdaa3eb05dc6d3ade3474b8ef0375f82af0ad037e6e7e909194a3c1fdc011d5e5f15e07768d67f435f22e38ae75bfa54b0017d467d941a8517c5c0
Homepage: https://cran.r-project.org/package=metafuse
Description: CRAN Package 'metafuse' (Fused Lasso Approach in Regression Coefficient Clustering)
 Fused lasso method to cluster and estimate regression coefficients of the
 same covariate across different data sets when a large number of independent
 data sets are combined. Package supports Gaussian, binomial, Poisson and Cox
 PH models.

Package: r-cran-metagam
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mgcv, r-cran-ggplot2, r-cran-metafor, r-cran-rlang
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metagam_0.4.0-1.ca2004.1_all.deb
Size: 587136
MD5sum: 1cd9eee8eb6ab6dd11a500ff8b49355e
SHA1: fb50f2ca14ee0ee029c372ebc4535b909eabef47
SHA256: 126ed6827f9b4b5f539dd1c7d644245d30229a1637039cf6c5a8ce803191313a
SHA512: a763bfed81fbdc0d59956aad0feedbbc0d015cd969a4d0d0374f13adb03620797b19673360052e7e4ed394367f68a9c722b8cce75485774b4fdf0b96532379a9
Homepage: https://cran.r-project.org/package=metagam
Description: CRAN Package 'metagam' (Meta-Analysis of Generalized Additive Models)
 Meta-analysis of generalized additive models and generalized additive mixed
 models. A typical use case is when data cannot be shared across locations,
 and an overall meta-analytic fit is sought. 'metagam' provides functionality
 for removing individual participant data from models computed using the
 'mgcv' and 'gamm4' packages such that the model objects can be shared
 without exposing individual data.  Furthermore, methods for meta-analysing
 these fits are provided. The implemented methods are described in Sorensen
 et al. (2020), <doi:10.1016/j.neuroimage.2020.117416>, extending previous
 works by Schwartz and Zanobetti (2000) and Crippa et al. (2018)
 <doi:10.6000/1929-6029.2018.07.02.1>.

Package: r-cran-metage
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corrplot, r-cran-data.table, r-cran-dplyr, r-cran-emdbook, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-ggrepel, r-cran-gplots, r-cran-ks, r-cran-purrr, r-cran-qqman, r-cran-rfast, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-yarrr
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-metage_1.2.1-1.ca2004.1_all.deb
Size: 4760492
MD5sum: d1ff24368048467b101cc38a3ff420e1
SHA1: 5388e8ecef24f2128d99f7ba9274d5c484195309
SHA256: a7b241f35b7acc205e0f9eef7a0c48c5680ad4f6d7ab5195f79964afb7f919fb
SHA512: a3b5d4d007054263f4757ba307a31d6284c22405762db7a05c617258c5eede196ece498e1ded34b5790228d97a1d3c7774b4bb34f98ada9485a2ae30a651b6af
Homepage: https://cran.r-project.org/package=metaGE
Description: CRAN Package 'metaGE' (Meta-Analysis for Detecting Genotype x Environment Associations)
 Provides functions to perform all steps of genome-wide association
 meta-analysis for studying Genotype x Environment interactions, from
 collecting the data to the manhattan plot.  The procedure accounts for the
 potential correlation between studies. In addition to the Fixed and Random
 models, one can investigate the relationship between QTL effects and some
 qualitative or quantitative covariate via the test of contrast and the
 meta-regression, respectively.  The methodology is available from: (De
 Walsche, A., et al. (2025) \doi{10.1371/journal.pgen.1011553}).

Package: r-cran-metagear
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1069
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-metafor, r-cran-stringr
Suggests: r-bioc-ebimage, r-cran-ape, r-cran-hexview, r-cran-rcurl, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-metagear_0.7-1.ca2004.1_all.deb
Size: 940508
MD5sum: b35feb35b21198e09d08f6efc28ef49a
SHA1: 62e65a44c9ee1d9f9c2db45c1822005666b80545
SHA256: d93ecc9f2dfa22cc7a137afd390f0e08cd7da267781132719003212d94c25459
SHA512: 306c814f4f019d124d1f1c08d08f15be8c8d5ed872a1bc75b19eaf93b89f91d56b6b88316bee2c7b61f47272e5a3ffe81a4f72f606da6b98dff53f5ac19cb678
Homepage: https://cran.r-project.org/package=metagear
Description: CRAN Package 'metagear' (Comprehensive Research Synthesis Tools for Systematic Reviewsand Meta-Analysis)
 Functionalities for facilitating systematic reviews, data extractions, and
 meta-analyses. It includes a GUI (graphical user interface) to help screen
 the abstracts and titles of bibliographic data; tools to assign screening
 effort across multiple collaborators/reviewers and to assess inter- reviewer
 reliability; tools to help automate the download and retrieval of journal
 PDF articles from online databases; figure and image extractions from PDFs;
 web scraping of citations; automated and manual data extraction from
 scatter-plot and bar-plot images; PRISMA (Preferred Reporting Items for
 Systematic Reviews and Meta-Analyses) flow diagrams; simple imputation tools
 to fill gaps in incomplete or missing study parameters; generation of random
 effects sizes for Hedges' d, log response ratio, odds ratio, and correlation
 coefficients for Monte Carlo experiments; covariance equations for modelling
 dependencies among multiple effect sizes (e.g., effect sizes with a common
 control); and finally summaries that replicate analyses and outputs from
 widely used but no longer updated meta-analysis software (i.e., metawin).
 Funding for this package was supported by National Science Foundation (NSF)
 grants DBI-1262545 and DEB-1451031. CITE: Lajeunesse, M.J. (2016)
 Facilitating systematic reviews, data extraction and meta-analysis with the
 metagear package for R. Methods in Ecology and Evolution 7, 323-330
 <doi:10.1111/2041-210X.12472>.

Package: r-cran-metaggr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metaggr_0.3.0-1.ca2004.1_all.deb
Size: 327640
MD5sum: 15579ee10478351012f5dacfa1ac646f
SHA1: e37dc800f17923023589882d11788b5f7bbfd739
SHA256: 7b21ac4d3044cc4eb2fa6ead89739f909055fabb1b132013740bfd4ff1afc994
SHA512: 2916188609cb06ce425ffa0eff553b66e1709db9fbc53c01676e08e3b8af7c949463828724af760e95d731941873ebc70dd6647df2777313ca219a881d73aa31
Homepage: https://cran.r-project.org/package=metaggR
Description: CRAN Package 'metaggR' (Calculate the Knowledge-Weighted Estimate)
 According to a phenomenon known as "the wisdom of the crowds," combining
 point estimates from multiple judges often provides a more accurate
 aggregate estimate than using a point estimate from a single judge. However,
 if the judges use shared information in their estimates, the simple average
 will over-emphasize this common component at the expense of the judges’
 private information.  Asa Palley & Ville Satopää (2021) "Boosting the Wisdom
 of Crowds Within a Single Judgment Problem: Selective Averaging Based on
 Peer Predictions"
 <https://papers.ssrn.com/sol3/Papers.cfm?abstract_id=3504286> proposes a
 procedure for calculating a weighted average of the judges’ individual
 estimates such that resulting aggregate estimate appropriately combines the
 judges' collective information within a single estimation problem.  The
 authors use both simulation and data from six experimental studies to
 illustrate that the weighting procedure outperforms existing averaging-like
 methods, such as the equally weighted average, trimmed average, and median.
 This aggregate estimate -- know as "the knowledge-weighted estimate" --
 inputs a) judges' estimates of a continuous outcome (E) and b) predictions
 of others' average estimate of this outcome (P).  In this R-package, the
 function knowledge_weighted_estimate(E,P) implements the knowledge-weighted
 estimate. Its use is illustrated with a simple stylized example and on
 real-world experimental data.

Package: r-cran-metahelper
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-confintr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metahelper_1.0.0-1.ca2004.1_all.deb
Size: 77180
MD5sum: e4ae908003fb09abdfb3da6ce2c66539
SHA1: abf175c8dce21a3848d5bdb9dee365e6ee3e70a3
SHA256: 2005150bad1f478f4f693c2f123625819096d474a8d67eb54e7748ee45254a0a
SHA512: 57b6df1fdb0de4a2233f0713901b6fc76e296cac1e38cb9b2d90d0f5215a7d5efe26d8d64f4fad62e8462be5729d6d1cf389375fcc586bfcf36f0512340a33c2
Homepage: https://cran.r-project.org/package=metaHelper
Description: CRAN Package 'metaHelper' (Transforms Statistical Measures Commonly Used for Meta-Analysis)
 Helps calculate statistical values commonly used in meta-analysis. It
 provides several methods to compute different forms of standardized mean
 differences, as well as other values such as standard errors and standard
 deviations.  The methods used in this package are described in the following
 references: Altman D G, Bland J M. (2011) <doi:10.1136/bmj.d2090>
 Borenstein, M., Hedges, L.V., Higgins, J.P.T. and Rothstein, H.R. (2009)
 <doi:10.1002/9780470743386.ch4> Chinn S. (2000)
 <doi:10.1002/1097-0258(20001130)19:22%3C3127::aid-sim784%3E3.0.co;2-m>
 Cochrane Handbook (2011) <https://handbook-5-1.cochrane.org/front_page.htm>
 Cooper, H., Hedges, L. V., & Valentine, J. C. (2009)
 <https://psycnet.apa.org/record/2009-05060-000> Cohen, J. (1977)
 <https://psycnet.apa.org/record/1987-98267-000> Ellis, P.D. (2009)
 <https://www.psychometrica.de/effect_size.html> Goulet-Pelletier, J.-C., &
 Cousineau, D. (2018) <doi:10.20982/tqmp.14.4.p242> Hedges, L. V. (1981)
 <doi:10.2307/1164588> Hedges L. V., Olkin I. (1985)
 <doi:10.1016/C2009-0-03396-0> Murad M H, Wang Z, Zhu Y, Saadi S, Chu H, Lin
 L et al. (2023) <doi:10.1136/bmj-2022-073141> Mayer M (2023)
 <https://search.r-project.org/CRAN/refmans/confintr/html/ci_proportion.html>
 Stackoverflow (2014)
 <https://stats.stackexchange.com/questions/82720/confidence-interval-around-binomial-estimate-of-0-or-1>
 Stackoverflow (2018) <https://stats.stackexchange.com/q/338043>.

Package: r-cran-metaheuristicopt
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metaheuristicopt_2.0.0-1.ca2004.1_all.deb
Size: 238544
MD5sum: 8ed9073062863eb0a3df4e8f939ab3c8
SHA1: 0268496c8ea7d4e567f287a4da0b89c1157a4397
SHA256: f348313a145c373db20cd1336844841635a278756c611851da6bb0cf793c9dd5
SHA512: 84282838b0170d8087a376311038dad92bfc662035a865591f6c24a9a30a26cc1b84561000dd9b389cf10b0fd44471d57cdeee49fb9e0a5dc2102ee060f0eb8d
Homepage: https://cran.r-project.org/package=metaheuristicOpt
Description: CRAN Package 'metaheuristicOpt' (Metaheuristic for Optimization)
 An implementation of metaheuristic algorithms for continuous optimization.
 Currently, the package contains the implementations of 21 algorithms, as
 follows: particle swarm optimization (Kennedy and Eberhart, 1995), ant lion
 optimizer (Mirjalili, 2015 <doi:10.1016/j.advengsoft.2015.01.010>), grey
 wolf optimizer (Mirjalili et al., 2014
 <doi:10.1016/j.advengsoft.2013.12.007>), dragonfly algorithm (Mirjalili,
 2015 <doi:10.1007/s00521-015-1920-1>), firefly algorithm (Yang, 2009
 <doi:10.1007/978-3-642-04944-6_14>), genetic algorithm (Holland, 1992,
 ISBN:978-0262581110), grasshopper optimisation algorithm (Saremi et al.,
 2017 <doi:10.1016/j.advengsoft.2017.01.004>), harmony search algorithm
 (Mahdavi et al., 2007 <doi:10.1016/j.amc.2006.11.033>), moth flame optimizer
 (Mirjalili, 2015 <doi:10.1016/j.knosys.2015.07.006>, sine cosine algorithm
 (Mirjalili, 2016 <doi:10.1016/j.knosys.2015.12.022>), whale optimization
 algorithm (Mirjalili and Lewis, 2016
 <doi:10.1016/j.advengsoft.2016.01.008>), clonal selection algorithm (Castro,
 2002 <doi:10.1109/TEVC.2002.1011539>), differential evolution (Das &
 Suganthan, 2011), shuffled frog leaping (Eusuff, Landsey & Pasha, 2006), cat
 swarm optimization (Chu et al., 2006), artificial bee colony algorithm
 (Karaboga & Akay, 2009), krill-herd algorithm (Gandomi & Alavi, 2012),
 cuckoo search (Yang & Deb, 2009), bat algorithm (Yang, 2012), gravitational
 based search (Rashedi et al., 2009) and black hole optimization (Hatamlou,
 2013).

Package: r-cran-metainc
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-ggplot2, r-cran-confintr
Suggests: r-cran-metafor
Filename: pool/dists/focal/main/r-cran-metainc_0.2-1-1.ca2004.1_all.deb
Size: 534520
MD5sum: 80fc3554cb82278a9e4257bdad306228
SHA1: 363fcac9e33642557a112c2de569102753665e1c
SHA256: b97d2d5bfe0ef4c53d609ce673b75bffad9e85880993a3b175d250a6b757469b
SHA512: b6925d29d126b588b4591975a5ea18996f9e9df8949262adc08c3815207146f4901f7bdc1931d7353492b34cf46b950e31fdf38627766e219cf271977c2b70f9
Homepage: https://cran.r-project.org/package=metainc
Description: CRAN Package 'metainc' (Assessment of Inconsistency in Meta-Analysis using DecisionThresholds)
 Assessment of inconsistency in meta-analysis by calculating the Decision
 Inconsistency index (DI) and the Across-Studies Inconsistency (ASI) index.
 These indices quantify inconsistency taking into account outcome-level
 decision thresholds.

Package: r-cran-metaintegration
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp, r-cran-corpcor, r-cran-mass, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-metaintegration_0.1.2-1.ca2004.1_all.deb
Size: 78664
MD5sum: 8ffdf04a1f999e1138d6f726a5c57ef4
SHA1: f3211fa1970368af70db5935d4e0eba18f32561f
SHA256: b7cf31495b293ae7004b4c1c9bd4aa85d526ec8686c169ca1ef3702b8526e108
SHA512: 6f81d32dda15470a5bc0d0d62df68bc214dde87c7d0b71a69ce4e96443706a6b09238c9d38fd6c1604ff01170e2a7638cb5fac79262bc0aad9ee2b59afca0eec
Homepage: https://cran.r-project.org/package=MetaIntegration
Description: CRAN Package 'MetaIntegration' (Ensemble Meta-Prediction Framework)
 An ensemble meta-prediction framework to integrate multiple regression
 models into a current study. Gu, T., Taylor, J.M.G. and Mukherjee, B. (2020)
 <arXiv:2010.09971>.  A meta-analysis framework along with two weighted
 estimators as the ensemble of empirical Bayes estimators, which combines the
 estimates from the different external models. The proposed framework is
 flexible and robust in the ways that (i) it is capable of incorporating
 external models that use a slightly different set of covariates; (ii) it is
 able to identify the most relevant external information and diminish the
 influence of information that is less compatible with the internal data; and
 (iii) it nicely balances the bias-variance trade-off while preserving the
 most efficiency gain. The proposed estimators are more efficient than the
 naive analysis of the internal data and other naive combinations of external
 estimators.

Package: r-cran-metaintegrator
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4569
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biocmanager, r-cran-rmeta, r-bioc-multtest, r-cran-ggplot2, r-cran-rmisc, r-cran-gplots, r-bioc-biobase, r-cran-rmysql, r-cran-dbi, r-cran-stringr, r-bioc-preprocesscore, r-bioc-geoquery, r-bioc-geometadb, r-cran-rsqlite, r-cran-data.table, r-cran-ggpubr, r-cran-rocr, r-cran-zoo, r-cran-pracma, r-cran-coconut, r-cran-metrics, r-cran-manhattanly, r-cran-dt, r-cran-pheatmap, r-cran-plyr, r-cran-boot, r-cran-dplyr, r-cran-reshape2, r-cran-rmarkdown, r-bioc-annotationdbi, r-cran-hgnchelper, r-cran-magrittr, r-cran-readr, r-cran-plotly, r-cran-httpuv
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-runit, r-bioc-biocgenerics, r-cran-snplist, r-cran-magick
Filename: pool/dists/focal/main/r-cran-metaintegrator_2.1.3-1.ca2004.1_all.deb
Size: 3452636
MD5sum: c176a44bffffc2b5c52306388e9c3f6c
SHA1: 923d1e0b44a11714b96ddec2c3878d677cd5d813
SHA256: 4e9db9975b0360134f425180a0b3573cce0222ae194b7a4d42df02fe4c2b18ec
SHA512: 41afcc766670971d0734f741f61d6c5aac970849bcda3c0f57cbcf079d605a874a174629d9b28d3119b18a0a80cac49b3c05b5940f8cbb89102a33a19bfea9f2
Homepage: https://cran.r-project.org/package=MetaIntegrator
Description: CRAN Package 'MetaIntegrator' (Meta-Analysis of Gene Expression Data)
 A pipeline for the meta-analysis of gene expression data. We have assembled
 several analysis and plot functions to perform integrated multi-cohort
 analysis of gene expression data (meta- analysis). Methodology described in:
 <http://biorxiv.org/content/early/2016/08/25/071514>.

Package: r-cran-metajam
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3611
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dataone, r-cran-dplyr, r-cran-eml, r-cran-emld, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metajam_0.3.1-1.ca2004.1_all.deb
Size: 2617948
MD5sum: cf3cb667f02ae3b6ba1b62d085f305b7
SHA1: 14ed9211d534e1a1f8561caf7f1dc1a404b5b087
SHA256: f29eb542ada67f64e81052dea2656924f5328f6b632f32360a7091f03b210011
SHA512: 2f9da756df36419891e51067bf49798a4e43eaadd92f7acf3a68783c2093c8f6e67897c0b70417ffaeea646b4d017c0064eacd6e6a3c78a40f7ed5089571d351
Homepage: https://cran.r-project.org/package=metajam
Description: CRAN Package 'metajam' (Easily Download Data and Metadata from 'DataONE')
 A set of tools to foster the development of reproducible analytical workflow
 by simplifying the download of data and metadata from 'DataONE'
 (<https://www.dataone.org>) and easily importing this information into R.

Package: r-cran-metalandsim
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 14635
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-e1071, r-cran-googlevis, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-sp, r-cran-minpack.lm, r-cran-zipfr, r-cran-coda, r-cran-terra, r-cran-knitr
Suggests: r-cran-rastervis
Filename: pool/dists/focal/main/r-cran-metalandsim_2.0.0-1.ca2004.1_all.deb
Size: 4105508
MD5sum: 1f9b8cc6a4dd6f86422863e0e46a3540
SHA1: b2f3a14d49b9188f2ec66ad4d04216d6449d87ed
SHA256: 4c5ef111a58f57f5a9fbaf4f11403e054b18384d9821693f528d2693f42cece9
SHA512: 766f5321bcd91ca3899450d5236d5d4b7360187d6f9a320f026d5e45f7f9c973685bebde37cf0a5af87cb780bdfb3ff548abce849e98b1d4c63c0ef648262172
Homepage: https://cran.r-project.org/package=MetaLandSim
Description: CRAN Package 'MetaLandSim' (Landscape and Range Expansion Simulation)
 Tools to generate random landscape graphs, evaluate species occurrence in
 dynamic landscapes, simulate future landscape occupation and evaluate range
 expansion when new empty patches are available (e.g. as a result of climate
 change). References: Mestre, F., Canovas, F., Pita, R., Mira, A., Beja, P.
 (2016) <doi:10.1016/j.envsoft.2016.03.007>; Mestre, F., Risk, B., Mira, A.,
 Beja, P., Pita, R. (2017) <doi:10.1016/j.ecolmodel.2017.06.013>; Mestre, F.,
 Pita, R., Mira, A., Beja, P. (2020) <doi:10.1186/s12898-019-0273-5>.

Package: r-cran-metalik
Architecture: all
Version: 0.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metalik_0.44.0-1.ca2004.1_all.deb
Size: 67180
MD5sum: dcb9fdc0c7fa1f1a172e47a33b1e637d
SHA1: b580c35a1c667b98978d980a81feb6af0f710f42
SHA256: 6151dbf091424c6ff7bd5cc1ec2ea80990944fd789ce9debc4470531e46310d7
SHA512: 4919891ca51239c6aae493d80096b817431a80a7409fd9fe786ea742191d741c0c559048d78bb4f758e2eebfc64a7492a5a3f8cc5a6791434ebb046fcbd796b0
Homepage: https://cran.r-project.org/package=metaLik
Description: CRAN Package 'metaLik' (Likelihood Inference in Meta-Analysis and Meta-Regression Models)
 First- and higher-order likelihood inference in meta-analysis and
 meta-regression models.

Package: r-cran-metalite.ae
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1976
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-metalite, r-cran-r2rtf
Suggests: r-cran-desctools, r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-metalite.ae_0.1.3-1.ca2004.1_all.deb
Size: 1023248
MD5sum: db1072a798b07a97a97186e79f965176
SHA1: 261fa0a5ebb31c6938accc40d7d1a36d9382cbd6
SHA256: 8678c9b8929bbb795a44fa5a1f5b980ba0170024b4a65b4497ab509fd023fab0
SHA512: 5dd628d822a126c5f436a70ca5e4b76d51cd0f1ca655e30375f1bbd0109b841f81cf4c61288b6fa03d71de420bf74d568acaede9f372a5361e5e43f5fc2d4cf2
Homepage: https://cran.r-project.org/package=metalite.ae
Description: CRAN Package 'metalite.ae' (Adverse Events Analysis Using 'metalite')
 Analyzes adverse events in clinical trials using the 'metalite' data
 structure. The package simplifies the workflow to create production-ready
 tables, listings, and figures discussed in the adverse events analysis
 chapters of "R for Clinical Study Reports and Submission" by Zhang et al.
 (2022) <https://r4csr.org/>.

Package: r-cran-metalite.sl
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2916
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glue, r-cran-metalite, r-cran-metalite.ae, r-cran-r2rtf, r-cran-reactable, r-cran-stringr, r-cran-rlang, r-cran-plotly, r-cran-htmltools, r-cran-brew, r-cran-uuid
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-metalite.sl_0.1.1-1.ca2004.1_all.deb
Size: 652328
MD5sum: ef6b2705f1344475b3137a5f062d0716
SHA1: e9013e651e667b46163710c341fb1ec6ade9ea67
SHA256: 25eb31964336e1d47200ba18d1fdaed3333c1f7281f984bb04002dc50c894dc3
SHA512: 17c76973ca629a0e3c73219cae2f5dc70d2f49563f2ada6be466d266530fa3324ab86b0210b330331554a466d22d3264686aec05d414746ab73c135ac0aba382
Homepage: https://cran.r-project.org/package=metalite.sl
Description: CRAN Package 'metalite.sl' (Subject-Level Analysis Using 'metalite')
 Analyzes subject-level data in clinical trials using the 'metalite' data
 structure. The package simplifies the workflow to create production-ready
 tables, listings, and figures discussed in the subject-level analysis
 chapters of "R for Clinical Study Reports and Submission" by Zhang et al.
 (2022) <https://r4csr.org/>.

Package: r-cran-metalite.table1
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-metalite, r-cran-reactable, r-cran-htmltools, r-cran-r2rtf, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-table1, r-cran-devtools, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-metalite.table1_0.4.0-1.ca2004.1_all.deb
Size: 33592
MD5sum: 1dd4d74428d0f216720e17a24b1b7cae
SHA1: 2ad4969eb21110a28dfc620c28fafb4fa20a3502
SHA256: 2e757c7e2f53ab33a995d2ff020f991058db82583bb0440ca2b8302c270b10fd
SHA512: 63b4ee85e606a2568bca212a4294451c1686783fef00068a76552baee81449e4ecf8f36b7614a46cbb0e7dbc0cab5779b0d8b2fec8b64e22238ba17651ff537b
Homepage: https://cran.r-project.org/package=metalite.table1
Description: CRAN Package 'metalite.table1' (Interactive Table of Descriptive Statistics in HTML)
 Create an interactive table of descriptive statistics in HTML.  This table
 is typically used for exploratory analysis in a clinical study (referred to
 as 'Table 1').

Package: r-cran-metalite
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-covr, r-cran-dplyr, r-cran-glue, r-cran-gt, r-cran-knitr, r-cran-r2rtf, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-metalite_0.1.4-1.ca2004.1_all.deb
Size: 365432
MD5sum: 045356664a66524f9983b377c6633310
SHA1: 7e5e6a672d22c1eb559f108806f16868f8cd9543
SHA256: f74db1057aac863cc14683bbf911402cf7a7d3f66cadb71fe61d08cd60908de2
SHA512: 6e0fee766b7dd0cd477d4af04b259a38e85e653d7b9c0158e7b3d61dbe20f965e5628cc3db128c7e1c607489e236d529b05373316cd752306214ad34675e05d1
Homepage: https://cran.r-project.org/package=metalite
Description: CRAN Package 'metalite' (ADaM Metadata Structure)
 A metadata structure for clinical data analysis and reporting based on
 Analysis Data Model (ADaM) datasets.  The package simplifies clinical
 analysis and reporting tool development by defining standardized inputs,
 outputs, and workflow.  The package can be used to create analysis and
 reporting planning grid, mock table, and validated analysis and reporting
 results based on consistent inputs.

Package: r-cran-metalonda
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gss, r-cran-plyr, r-cran-zoo, r-cran-pracma, r-cran-ggplot2, r-cran-doparallel, r-bioc-metagenomeseq, r-bioc-deseq2, r-bioc-edger
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metalonda_1.1.8-1.ca2004.1_all.deb
Size: 100596
MD5sum: 3916847c524c5a094e0d83ef1e9249e0
SHA1: 5d73420d385118024fea497d7b95588109ecc104
SHA256: 6770d756850c323bfd40c340ec1bc3023521b3271e53421ab7ebbf1e37969d86
SHA512: 7f1d7267fff3ef422df2e926c9a69c4dbba9ac2d2e0c6c000788d61b0ef134af88873a56de57aa628c3f7f4286af5050c018e9e4d0577fb5f1dfbce60ca92557
Homepage: https://cran.r-project.org/package=MetaLonDA
Description: CRAN Package 'MetaLonDA' (Metagenomics Longitudinal Differential Abundance Method)
 Identify time intervals of differentially abundant metagenomic features in
 longitudinal studies (Metwally AA, et al., Microbiome, 2018
 <doi:10.1186/s40168-018-0402-y>).

Package: r-cran-metalyzer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-summarizedexperiment, r-cran-openxlsx, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-agricolae, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-data.table, r-bioc-s4vectors, r-cran-viridis, r-cran-viridislite, r-cran-plotly, r-bioc-limma
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-metalyzer_1.1.0-1.ca2004.1_all.deb
Size: 2188592
MD5sum: 65db9d4c07f9f3eed270594b6a90bb44
SHA1: 2ec8a29930a777d67fb19361cc2b24899263bc0c
SHA256: 4e10e3303b355bfa5edd438625b939778c38f9f34a5a6c8820e1f74c1f7b75cc
SHA512: abc7afd144714b476e5141b15eb81048bcf7d294deb2f089f13aabca845488fd671477e9a272fda71757146fdde889b925c78b2bdd74e4a7d8c431397a9cfe32
Homepage: https://cran.r-project.org/package=MetAlyzer
Description: CRAN Package 'MetAlyzer' (Read and Analyze 'MetIDQ&trade;' Software Output Files)
 The 'MetAlyzer' S4 object provides methods to read and reformat metabolomics
 data for convenient data handling, statistics and downstream analysis. The
 resulting format corresponds to input data of the Shiny app 'MetaboExtract'
 (<https://www.metaboextract.shiny.dkfz.de/MetaboExtract/>).

Package: r-cran-metama
Architecture: all
Version: 3.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-limma, r-cran-smvar
Suggests: r-bioc-geoquery, r-bioc-org.hs.eg.db, r-cran-venndiagram, r-bioc-annaffy, r-bioc-hgu133plus2.db, r-bioc-hgu133a.db, r-bioc-hgu95av2.db
Filename: pool/dists/focal/main/r-cran-metama_3.1.3-1.ca2004.1_all.deb
Size: 1010788
MD5sum: 9dfc6f0d7a299a69cc50f06faa041d31
SHA1: c1b655ee8009e443d25c5f09c622a0c2bc059d41
SHA256: 3d716b81855095650c8c6098c2df63b6e5f90da972931709e023b7f684d7b1ba
SHA512: 01595e9e7b0691080f4260d3ea04eebbb43c7e62b63ef7564abdd624e7d141bbcfdc249893530c84f3bcbd7dd91baf056f6a98fba71439356e0f51380349d01a
Homepage: https://cran.r-project.org/package=metaMA
Description: CRAN Package 'metaMA' (Meta-Analysis for MicroArrays)
 Combination of either p-values or modified effect sizes from different
 studies to find differentially expressed genes.

Package: r-cran-metamedian
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-estmeansd, r-cran-hmisc, r-cran-metablue, r-cran-metafor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metamedian_1.2.1-1.ca2004.1_all.deb
Size: 239092
MD5sum: 2ed9f10791389954c90ed020cc1e26a9
SHA1: ed6742aa41c22a5b6f0abaa087e2e1496783da88
SHA256: 878798596393fc51bf618cc7087eeedaee57c02f424051f31b40fb1ba031408e
SHA512: 908e8cf1016ffccdefa74f4e03eea2585002c093f9c825caa2c0363d30ddbba911088efd2278745f6d67f2316c6ea28ac198456d51b08ff683f0b082ac2d3fbf
Homepage: https://cran.r-project.org/package=metamedian
Description: CRAN Package 'metamedian' (Meta-Analysis of Medians)
 Implements several methods to meta-analyze studies that report the sample
 median of the outcome. The methods described by McGrath et al. (2019)
 <doi:10.1002/sim.8013>, Ozturk and Balakrishnan (2020)
 <doi:10.1002/sim.8738>, and McGrath et al. (2020a)
 <doi:10.1002/bimj.201900036> can be applied to directly meta-analyze the
 median or difference of medians between groups. Additionally, a number of
 methods (e.g., McGrath et al. (2020b) <doi:10.1177/0962280219889080>, Cai et
 al. (2021) <doi:10.1177/09622802211047348>, and McGrath et al. (2023)
 <doi:10.1177/09622802221139233>) are implemented to estimate study-specific
 (difference of) means and their standard errors in order to estimate the
 pooled (difference of) means. Methods for meta-analyzing median survival
 times (McGrath et al. (2025) <doi:10.48550/arXiv.2503.03065>) are also
 implemented. See McGrath et al. (2024) <doi:10.1002/jrsm.1686> for a
 detailed guide on using the package.

Package: r-cran-metamer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fnn, r-cran-progress
Suggests: r-cran-shiny, r-cran-miniui, r-cran-testthat, r-cran-data.table, r-cran-covr, r-cran-sf
Filename: pool/dists/focal/main/r-cran-metamer_0.3.0-1.ca2004.1_all.deb
Size: 212088
MD5sum: 077ab3991c28ee149689aa87bbe880f4
SHA1: 53a0f41e38fd624cac0104ac27824af341885f08
SHA256: 402b28320b2badf07a937515dc122a89ed81e6281a5381462ca88fa8a5b3f970
SHA512: 77506f3eb93d08eb3e1efc45491885f561b4273aae3ff46c76dd63c97cfa760e0f6c85bf9d02c93f0498b068fb750c958349f034744cd39ef317f3ff2dfa0190
Homepage: https://cran.r-project.org/package=metamer
Description: CRAN Package 'metamer' (Create Data with Identical Statistics)
 Creates data with identical statistics (metamers) using an iterative
 algorithm proposed by Matejka & Fitzmaurice (2017)
 <DOI:10.1145/3025453.3025912>.

Package: r-cran-metamicrobiomer
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-meta, r-cran-lme4, r-cran-gdata, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-gridextra, r-cran-lmertest, r-cran-matrixstats, r-cran-zcompositions, r-cran-compositions
Suggests: r-cran-testthat, r-cran-rcurl, r-cran-httr, r-cran-repmis, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-gplots, r-cran-magrittr, r-cran-foreign, r-cran-mgcv, r-cran-reshape2, r-cran-caret, r-cran-randomforest, r-cran-tsibble, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-metamicrobiomer_1.2-1.ca2004.1_all.deb
Size: 1363700
MD5sum: da19de98c4fb9e0191c1b1d9473e144e
SHA1: 9bf9a1b1ba962a04a82c619c660b984021421eca
SHA256: 5841e24d43ac9f4bfac0d86ed812561c9649e6120521c344ae8c668e84e4baaf
SHA512: 5c92196b876f35007051eac10ef8249641fceedfc4674585dc2086bf93a14e994f39e83b9ac91ad4be7cb278f6601d67f4d566785d90b526591f08e323d6be4e
Homepage: https://cran.r-project.org/package=metamicrobiomeR
Description: CRAN Package 'metamicrobiomeR' (Microbiome Data Analysis & Meta-Analysis with GAMLSS-BEZI &Random Effects)
 Generalized Additive Model for Location, Scale and Shape (GAMLSS) with zero
 inflated beta (BEZI) family for analysis of microbiome relative abundance
 data (with various options for data transformation/normalization to address
 compositional effects) and random effects meta-analysis models for
 meta-analysis pooling estimates across microbiome studies are implemented.
 Random Forest model to predict microbiome age based on relative abundances
 of shared bacterial genera with the Bangladesh data (Subramanian et al
 2014), comparison of multiple diversity indexes using linear/linear mixed
 effect models and some data display/visualization are also implemented.  The
 reference paper is published by Ho NT, Li F, Wang S, Kuhn L (2019)
 <doi:10.1186/s12859-019-2744-2> .

Package: r-cran-metamisc
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-metafor, r-cran-mvtnorm, r-cran-lme4, r-cran-dplyr, r-cran-plyr, r-cran-proc, r-cran-ggplot2
Suggests: r-cran-coda, r-cran-runjags, r-cran-rjags, r-cran-ggmcmc, r-cran-logistf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metamisc_0.4.0-1.ca2004.1_all.deb
Size: 558404
MD5sum: 70b6eaab8339a49398a91796d1e0da63
SHA1: e6204936f3f8e7de4c326e65760885de2d1af527
SHA256: fe486a61a7c07bad6977b76d8689eb0b049862cf2dd0c83aa6dc3b173fc5235b
SHA512: cd7a04d4fd17054f1982f3821a5624926824650d39239a6b3a7fa812e8e143600f3885c1ee00f17d2dc4f3a3c75b119f4fe5e0e305c05e6480d2a41b8b51a6a0
Homepage: https://cran.r-project.org/package=metamisc
Description: CRAN Package 'metamisc' (Meta-Analysis of Diagnosis and Prognosis Research Studies)
 Facilitate frequentist and Bayesian meta-analysis of diagnosis and prognosis
 research studies. It includes functions to summarize multiple estimates of
 prediction model discrimination and calibration performance (Debray et al.,
 2019) <doi:10.1177/0962280218785504>. It also includes functions to evaluate
 funnel plot asymmetry (Debray et al., 2018) <doi:10.1002/jrsm.1266>.
 Finally, the package provides functions for developing multivariable
 prediction models from datasets with clustering (de Jong et al., 2021)
 <doi:10.1002/sim.8981>.

Package: r-cran-metan
Architecture: all
Version: 1.19.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3658
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggally, r-cran-ggforce, r-cran-ggplot2, r-cran-ggrepel, r-cran-lme4, r-cran-lmertest, r-cran-magrittr, r-cran-mathjaxr, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-metan_1.19.0-1.ca2004.1_all.deb
Size: 3411948
MD5sum: 4865a9f95c6c82b503cb3957e96e42ee
SHA1: 2afe94e55e53d7883883d66655d056bd6256ea06
SHA256: fa18f0987c53d8bdcf5b678429a5c2e0fba3aa4df77aae67835c7f49e25c412f
SHA512: a976a76bd12f79223c605609a9c81c36a0554e855f7ab134c9da3213b538c71df2e25a1ae0325635691e7891b941d8b58e62e12889e76a2c14045f194131cbaa
Homepage: https://cran.r-project.org/package=metan
Description: CRAN Package 'metan' (Multi Environment Trials Analysis)
 Performs stability analysis of multi-environment trial data using parametric
 and non-parametric methods. Parametric methods includes Additive Main
 Effects and Multiplicative Interaction (AMMI) analysis by Gauch (2013)
 <doi:10.2135/cropsci2013.04.0241>, Ecovalence by Wricke (1965), Genotype
 plus Genotype-Environment (GGE) biplot analysis by Yan & Kang (2003)
 <doi:10.1201/9781420040371>, geometric adaptability index by Mohammadi &
 Amri (2008) <doi:10.1007/s10681-007-9600-6>, joint regression analysis by
 Eberhart & Russel (1966) <doi:10.2135/cropsci1966.0011183X000600010011x>,
 genotypic confidence index by Annicchiarico (1992), Murakami & Cruz's (2004)
 method, power law residuals (POLAR) statistics by Doring et al.  (2015)
 <doi:10.1016/j.fcr.2015.08.005>, scale-adjusted coefficient of variation by
 Doring & Reckling (2018) <doi:10.1016/j.eja.2018.06.007>, stability variance
 by Shukla (1972) <doi:10.1038/hdy.1972.87>, weighted average of absolute
 scores by Olivoto et al. (2019a) <doi:10.2134/agronj2019.03.0220>, and
 multi-trait stability index by Olivoto et al. (2019b)
 <doi:10.2134/agronj2019.03.0221>.  Non-parametric methods includes
 superiority index by Lin & Binns (1988) <doi:10.4141/cjps88-018>,
 nonparametric measures of phenotypic stability by Huehn (1990)
 <doi:10.1007/BF00024241>, TOP third statistic by Fox et al. (1990)
 <doi:10.1007/BF00040364>. Functions for computing biometrical analysis such
 as path analysis, canonical correlation, partial correlation, clustering
 analysis, and tools for inspecting, manipulating, summarizing and plotting
 typical multi-environment trial data are also provided.

Package: r-cran-metanet
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2723
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-dplyr, r-cran-ggplot2, r-cran-ggnewscale, r-cran-ggrepel, r-cran-magrittr, r-cran-reshape2, r-cran-tibble, r-cran-pcutils, r-cran-rlang
Suggests: r-cran-pheatmap, r-cran-vegan, r-cran-stringr, r-cran-foreach, r-cran-dosnow, r-cran-snow, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-hmisc, r-cran-gifski, r-cran-ggraph, r-cran-networkd3, r-cran-ggpmisc, r-bioc-ggtree, r-bioc-treeio, r-cran-circlize, r-cran-jsonify, r-cran-ggpubr, r-cran-corrplot, r-cran-philentropy, r-cran-spatstat.random, r-cran-spatstat.geom, r-cran-sf
Filename: pool/dists/focal/main/r-cran-metanet_0.2.7-1.ca2004.1_all.deb
Size: 2464216
MD5sum: b0a87a35e5572731a1f81c53279f0f55
SHA1: 16b6b2808d6bda7311b4cacc653fa511a63a6ecc
SHA256: ae67c1864a3e74a34af9bdd7f08983890540c0606dda57efb964bbe857ab0f53
SHA512: 83e487208fbb309204befbec27d0785646fccbfa5e9d97f2b6474157781f1c4903c8a32fb14ad63f0f1dbe788e489cdaa1992de34bb39189cf5c56d32d3bb8a9
Homepage: https://cran.r-project.org/package=MetaNet
Description: CRAN Package 'MetaNet' (Network Analysis for Omics Data)
 Comprehensive network analysis package.  Calculate correlation network
 fastly, accelerate lots of analysis by parallel computing.  Support for
 multi-omics data, search sub-nets fluently.  Handle bigger data, more than
 10,000 nodes in each omics.  Offer various layout method for multi-omics
 network and some interfaces to other software ('Gephi', 'Cytoscape',
 'ggplot2'), easy to visualize.  Provide comprehensive topology indexes
 calculation, including ecological network stability.

Package: r-cran-metanetwork
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3099
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggally, r-cran-network, r-cran-ggplot2, r-cran-intergraph, r-cran-dplyr, r-cran-igraph, r-cran-matrix, r-cran-visnetwork, r-cran-rcolorbrewer, r-cran-magrittr, r-cran-ggimage, r-cran-rlang, r-cran-sna
Suggests: r-cran-spelling, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metanetwork_0.7.0-1.ca2004.1_all.deb
Size: 2758108
MD5sum: 28f7dd35e683704da1a9cf47b6cc37a6
SHA1: d2e84c6f006569c2ddbf52917a8ef7bc12bce038
SHA256: 4289b8547e8b5c479a1fd897da189ca363381fe207b911098bd73ee5c678d19c
SHA512: 73e19222b14362e801d2a98228576b5c73ff76a9f6e40a0dcaeac7b060513473b44657e48a8b341dcc700fed428db40c648cc6c265c7ef1e43f5d5ca33f09c79
Homepage: https://cran.r-project.org/package=metanetwork
Description: CRAN Package 'metanetwork' (Handling and Representing Trophic Networks in Space and Time)
 A toolbox to handle and represent trophic networks in space or time across
 aggregation levels. This package contains a layout algorithm specifically
 designed for trophic networks, using dimension reduction on a diffusion
 graph kernel and trophic levels. Importantly, this package provides a layout
 method applicable for large trophic networks.

Package: r-cran-metanlp
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4767
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-tm, r-cran-textstem, r-cran-lexicon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-wordcloud, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-metanlp_0.1.3-1.ca2004.1_all.deb
Size: 4673744
MD5sum: 359803c424d8221ab98defc66fc79d56
SHA1: 79094947f7cd499c9ffcd3f3c914a6e0aa4a77d8
SHA256: 34b31f8e41f8ef1c3ba0d324b99393d1039c9e5ec496cf6340747757aa7d7aac
SHA512: 258e5d58259149e2e96c189276154f021a7da00bcdbd7e34d053a48524fc8033fab4456e71af10c5fedfdc8070acb903e6c6bb48e7d5ce1a2b927184cd2b2a7e
Homepage: https://cran.r-project.org/package=MetaNLP
Description: CRAN Package 'MetaNLP' (Natural Language Processing for Meta Analysis)
 Given a CSV file with titles and abstracts, the package creates a
 document-term matrix that is lemmatized and stemmed and can directly be used
 to train machine learning methods for automatic title-abstract screening in
 the preparation of a meta analysis.

Package: r-cran-metansue
Architecture: all
Version: 2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metansue_2.6-1.ca2004.1_all.deb
Size: 109804
MD5sum: 841a6e4d854063d0f381a60728287950
SHA1: 6314e5f8ddd711b46ff8e9f4b3222d6038a5319b
SHA256: 1a57f0cb139b2acb6dd00bc1a21d709f7bb11dbe479a69e718d7ab6e0d05e508
SHA512: 78745399533472f8d06503bd2d0f433f46ec791a1f087047a50cdc9e7c244c0c9afc5f69cc7412be6b65df36ba703b1b6b5ff93ddbb9560a65f735409fe6abac
Homepage: https://cran.r-project.org/package=metansue
Description: CRAN Package 'metansue' (Meta-Analysis of Studies with Non-Statistically SignificantUnreported Effects)
 Novel method to unbiasedly include studies with Non-statistically
 Significant Unreported Effects (NSUEs) in a meta-analysis. First, the
 function calculates the interval where the unreported effects (e.g.,
 t-values) should be according to the threshold of statistical significance
 used in each study. Afterward, the method uses maximum likelihood techniques
 to impute the expected effect size of each study with NSUEs, accounting for
 between-study heterogeneity and potential covariates. Multiple imputations
 of the NSUEs are then randomly created based on the expected value,
 variance, and statistical significance bounds. Finally, it conducts a
 restricted-maximum likelihood random-effects meta-analysis separately for
 each set of imputations, and it performs estimations from these
 meta-analyses. Please read the reference in 'metansue' for details of the
 procedure.

Package: r-cran-metap
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 674
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-rdpack, r-cran-tfisher, r-cran-mutoss, r-cran-mathjaxr, r-cran-qqconf
Filename: pool/dists/focal/main/r-cran-metap_1.12-1.ca2004.1_all.deb
Size: 567644
MD5sum: cf8f2e7e9cb5fd642e8f985c36f7b1e9
SHA1: 7e3600e1cc12bc40867a23b7536bd0ca2f152660
SHA256: e56bccbe7621b621a1546aeb7a7d054973a11ad189e3a9c88f7d1e7167ba5e3e
SHA512: 5f274fc5cf48e1db5bdb58b99fbca8b01ff0ba86767c38d162affa911ac2a198f808263a3667a5e74a7bebb519c88f73a3405afd36990acdf7a09993c5444daf
Homepage: https://cran.r-project.org/package=metap
Description: CRAN Package 'metap' (Meta-Analysis of Significance Values)
 The canonical way to perform meta-analysis involves using effect sizes.
 When they are not available this package provides a number of methods for
 meta-analysis of significance values including the methods of Edgington,
 Fisher, Lancaster, Stouffer, Tippett, and Wilkinson; a number of data-sets
 to replicate published results; and routines for graphical display.

Package: r-cran-metapath
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-bioc-gseabase, r-bioc-genefilter, r-bioc-impute
Filename: pool/dists/focal/main/r-cran-metapath_1.0-1.ca2004.1_all.deb
Size: 1464548
MD5sum: cf2c00ee119ba5b738e4a8f9562fecf4
SHA1: fb0b57ca70e4d20dbeeb8b53a9beec74fbd4830e
SHA256: 64538eb51ad78065e58ccb2ea0b1dfed4593f379b56c3420649faf78c30e30be
SHA512: 03a502433552442ed10c6e7d06670de507149e2fe782676508938ca9043e4fc59be491e7292b265a6414ad015ad296faa1668a45b2c9cca0d53ef63e61d03684
Homepage: https://cran.r-project.org/package=MetaPath
Description: CRAN Package 'MetaPath' (Perform the Meta-Analysis for Pathway Enrichment Analysis (MAPE))
 Perform the Meta-analysis for Pathway Enrichment (MAPE) methods introduced
 by Shen and Tseng (2010). It includes functions to automatically perform
 MAPE_G (integrating multiple studies at gene level), MAPE_P (integrating
 multiple studies at pathway level) and MAPE_I (a hybrid method integrating
 MAEP_G and MAPE_P methods). In the simulation and real data analyses in the
 paper, MAPE_G and MAPE_P have complementary advantages and detection power
 depending on the data structure. In general, the integrative form of MAPE_I
 is recommended to use. In the case that MAPE_G (or MAPE_P) detects almost
 none pathway, the integrative MAPE_I does not improve performance and MAPE_P
 (or MAPE_G) should be used. Reference: Shen, Kui, and George C Tseng.
 Meta-analysis for pathway enrichment analysis when combining multiple
 microarray studies.Bioinformatics (Oxford, England) 26, no. 10 (April 2010):
 1316-1323.  doi:10.1093/bioinformatics/btq148.
 http://www.ncbi.nlm.nih.gov/pubmed/20410053.

Package: r-cran-metaplot
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-encode, r-cran-lattice, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-gridextra, r-cran-gtable, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-csv, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-metaplot_0.8.4-1.ca2004.1_all.deb
Size: 358848
MD5sum: 5dd1176f4ea89907d57cc92a491ee1da
SHA1: d789a6292038d85c08eb8b84678f31d0fb215a8f
SHA256: 7cbe7a78a5913cca2d2989d927055c0b7196028fecb073db34c0f237423db8a8
SHA512: ad095b4f18537b056aabb33f6a88da8d10f3945d93c2ea3b1b5f3473aa935e007564983775f185f97501781b9c1b6954e166de196f6770b27a0e63280e9dbb33
Homepage: https://cran.r-project.org/package=metaplot
Description: CRAN Package 'metaplot' (Data-Driven Plot Design)
 Designs plots in terms of core structure.  See 'example(metaplot)'.  Primary
 arguments are (unquoted) column names; order and type (numeric or not)
 dictate the resulting plot.  Specify any y variables, x variable, any groups
 variable, and any conditioning variables to metaplot() to generate density
 plots, boxplots, mosaic plots, scatterplots, scatterplot matrices, or
 conditioned plots. Use multiplot() to arrange plots in grids. Wherever
 present, scalar column attributes 'label' and 'guide' are honored, producing
 fully annotated plots with minimal effort. Attribute 'guide' is typically
 units, but may be encoded() to provide interpretations of categorical values
 (see '?encode').  Utility unpack() transforms scalar column attributes to
 row values and pack() does the reverse, supporting tool-neutral storage of
 metadata along with primary data. The package supports customizable
 aesthetics such as such as reference lines, unity lines, smooths, log
 transformation, and linear fits. The user may choose between trellis and
 ggplot output. Compact syntax and integrated metadata promote workflow
 scalability.

Package: r-cran-metaplotr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-metaplotr_0.0.3-1.ca2004.1_all.deb
Size: 134132
MD5sum: 157019cacdff840b9b9100a16145b088
SHA1: 9e176f4247bd51979c9b959b1ded859da8a64f81
SHA256: 7a0d659e44f76209732d5ed3850ec4f8dd0c58198e1b1e0bfaecb40d554b9d5a
SHA512: 9386be27c8f0e9e5d728dc6194b70623f137e22dbab73e48e78de7cb86ec7a391762fe2f7f4beca81df5f6c76d8898006db6334406511ab95ff0a7b88db36e69
Homepage: https://cran.r-project.org/package=metaplotr
Description: CRAN Package 'metaplotr' (Creates CrossHairs Plots for Meta-Analyses)
 Creates crosshairs plots to summarize and analyse meta-analysis results. In
 due time this package will contain code that will create other kind of
 meta-analysis graphs.

Package: r-cran-metaplus
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-metafor, r-cran-boot, r-cran-numderiv, r-cran-mass, r-cran-fastghquad, r-cran-lme4, r-cran-rfast, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-metaplus_1.0-6-1.ca2004.1_all.deb
Size: 473008
MD5sum: dfa11444b6d3d2d9f6617995354f23bb
SHA1: 0d3deb0e384aa9f9a29e084bf4271d71a76a509b
SHA256: 0c1ab421a75d2129e662d2d1c43577e79c1d51d58709c566b474b075540fae06
SHA512: d752485bdea9c5982d549794b0719bd46b5ebe419869c2627af264697e2709301dd23e0b1dfcbceb40e24bc5432cbd686a58ff1972483de283c86bb50f3bd20f
Homepage: https://cran.r-project.org/package=metaplus
Description: CRAN Package 'metaplus' (Robust Meta-Analysis and Meta-Regression)
 Performs meta-analysis and meta-regression using standard and robust methods
 with confidence intervals based on the profile likelihood. Robust methods
 are based on alternative distributions for the random effect, either the
 t-distribution (Lee and Thompson, 2008 <doi:10.1002/sim.2897> or Baker and
 Jackson, 2008 <doi:10.1007/s10729-007-9041-8>) or mixtures of normals
 (Beath, 2014 <doi:10.1002/jrsm.1114>).

Package: r-cran-metapost
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridbezier
Suggests: r-cran-grimport
Filename: pool/dists/focal/main/r-cran-metapost_1.0-6-1.ca2004.1_all.deb
Size: 71800
MD5sum: 39b8ddaadded62f37470012912f08731
SHA1: cdada7f96c6d39bce462985b511997a7aa22ad04
SHA256: 841c5c53158786a34e50e3b59b5552401540af28462214615426b4b3b2a72ed1
SHA512: 8bc526bedad9a0604ebe7ece25b098666016bec11bd83431b971e7b0939294d96652c9d219899e4f0d2207ca44e3f553c1c492d892ad7b0c2078ecb88e0d5402
Homepage: https://cran.r-project.org/package=metapost
Description: CRAN Package 'metapost' (Interface to 'MetaPost')
 Provides an interface to 'MetaPost' (Hobby, 1998)
 <http://www.tug.org/docs/metapost/mpman.pdf>.  There are functions to
 generate an R description of a 'MetaPost' curve, functions to generate
 'MetaPost' code from an R description, functions to process 'MetaPost' code,
 and functions to read solved 'MetaPost' paths back into R.

Package: r-cran-metapower
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metapower_0.2.2-1.ca2004.1_all.deb
Size: 1436820
MD5sum: c632547da7e27d35389327b82bcf1224
SHA1: c1ab026e953e548bc21c17ba06e92e23becda5ae
SHA256: c827f8cd7a45f611296c0090c885b6b3c307112ef94a4afed0540001df42a210
SHA512: 3cd46a7b631f24954d9944761558fe67ad5ad84aef9c13bc6af3047a6d2635537d9c3196cc15697ce8ff8839ee1c01168cce2c0e19f913845bdb8422c654a9d4
Homepage: https://cran.r-project.org/package=metapower
Description: CRAN Package 'metapower' (Power Analysis for Meta-Analysis)
 A simple and effective tool for computing and visualizing statistical power
 for meta-analysis, including power analysis of main effects (Jackson &
 Turner, 2017)<doi:10.1002/jrsm.1240>, test of homogeneity (Pigott,
 2012)<doi:10.1007/978-1-4614-2278-5>, subgroup analysis, and categorical
 moderator analysis (Hedges & Pigott, 2004)<doi:10.1037/1082-989X.9.4.426>.

Package: r-cran-metapro
Architecture: all
Version: 1.5.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-metap
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metapro_1.5.11-1.ca2004.1_all.deb
Size: 24112
MD5sum: 355aeef25ae74887988987d0eb1f5c88
SHA1: d5306c2e473f40520879e273ef3d3ee3bda96b29
SHA256: c7ddf44372313611471581f59545e7cbcc1b58c942852eef096d6411950899ee
SHA512: 1e1b84a0de7c0ed5a85e167c8d4c741ea03a2838a01597738c98e6506af98119fa1b5aecbb35a68eea6412f97b4f6c2f4658bfcc7476c767c8574d16e18df4ee
Homepage: https://cran.r-project.org/package=metapro
Description: CRAN Package 'metapro' (Robust P-Value Combination Methods)
 The meta-analysis is performed to increase the statistical power by
 integrating the results from several experiments. The p-values are often
 combined in meta-analysis when the effect sizes are not available. The
 'metapro' R package provides not only traditional methods (Becker BJ (1994,
 ISBN:0-87154-226-9), Mosteller, F. & Bush, R.R. (1954, ISBN:0201048523) and
 Lancaster HO (1949, ISSN:00063444)), but also new method named weighted
 Fisher’s method we developed. While the (weighted) Z-method is suitable for
 finding features effective in most experiments, (weighted) Fisher’s method
 is useful for detecting partially associated features. Thus, the users can
 choose the function based on their purpose. Yoon et al. (2021) "Powerful
 p-value combination methods to detect incomplete association"
 <doi:10.1038/s41598-021-86465-y>.

Package: r-cran-metaprotr
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1193
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-dendextend, r-cran-dplyr, r-cran-ggforce, r-cran-ggrepel, r-cran-reshape2, r-cran-stringr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-metaprotr_1.2.2-1.ca2004.1_all.deb
Size: 1097728
MD5sum: 23679b6b23bf9dfba8402994d595186a
SHA1: 7fac2ab68c74f7be9832f3459a7aae95f5e42468
SHA256: 115621e5f63031481a8d012a490143c8fbed953703871e1306af5e9191a325f8
SHA512: cda458c32e35da9f8b3d6c24020ac972edfdd9f33996a9491e879febf411fa0c9790d2b7624634b492fc11de8f220dfabaae3fd7c0941a7924e05964b1760f00
Homepage: https://cran.r-project.org/package=metaprotr
Description: CRAN Package 'metaprotr' (Metaproteomics Post-Processing Analysis)
 Set of tools for descriptive analysis of metaproteomics data generated from
 high-throughput mass spectrometry instruments. These tools allow to cluster
 peptides and proteins abundance, expressed as spectral counts, and to
 manipulate them in groups of metaproteins. This information can be
 represented using multiple visualization functions to portray the global
 metaproteome landscape and to differentiate samples or conditions, in terms
 of abundance of metaproteins, taxonomic levels and/or functional annotation.
 The provided tools allow to implement flexible analytical pipelines that can
 be easily applied to studies interested in metaproteomics analysis.

Package: r-cran-metaquant
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gld, r-cran-sld, r-cran-ggplot2, r-cran-plotly, r-cran-magrittr, r-cran-dplyr, r-cran-estmeansd
Filename: pool/dists/focal/main/r-cran-metaquant_0.1.1-1.ca2004.1_all.deb
Size: 104224
MD5sum: 988432e99a62849e5e54da5d266a5321
SHA1: 66ff4d4b99c401694344358f7a405cdfdd96a245
SHA256: e87048802321f9e5b842f46917d1f66e939a30f54fcbf3a506346745a1215da2
SHA512: 4cd9cf92965d45ffb60c6f5829e6b7453ac875bc14584b76514046704b48e12f8cc805cb75c3e9263bbdb5a5bc087e350dc1cc2eaa216b2ab739bbc9e89a7ba5
Homepage: https://cran.r-project.org/package=metaquant
Description: CRAN Package 'metaquant' (Estimating Means, Standard Deviations and VisualisingDistributions using Quantiles)
 Implements a novel density-based approach for estimating unknown means,
 visualizing distributions, and meta-analyses of quantiles. A detailed
 vignettes with example datasets and code to prepare data and analyses is
 available at <https://bookdown.org/a2delivera/metaquant/>.  The methods are
 described in the pre-print by De Livera, Prendergast and Kumaranathunga
 (2024, <doi:10.48550/arXiv.2411.10971>).

Package: r-cran-metarmst
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstpm2, r-cran-mvmeta, r-cran-meta, r-cran-survival, r-cran-survrm2
Filename: pool/dists/focal/main/r-cran-metarmst_1.0.0-1.ca2004.1_all.deb
Size: 52608
MD5sum: abe11f62be3702d8702d2fb56467e4aa
SHA1: 80a9f371ffe3dfc2af721a6d02be5818a555b99e
SHA256: 752e0bc5b1d0775566807316e4e6e0eaa6b4fea5fd8b6b21a20b46959cb6ed0f
SHA512: 795bd1d87d9a39477a07e03932929d0de3db3b9d66d5ae73f59aeb5cccd9804c5ef40c830d368c632699006d2f147be17ce1b6e1ea528adeea20d0704d9cef0b
Homepage: https://cran.r-project.org/package=metaRMST
Description: CRAN Package 'metaRMST' (Meta-Analysis of RMSTD)
 R implementation of a multivariate meta-analysis of randomized controlled
 trials (RCT) with the difference in restricted mean survival times (RMSTD).
 Use this package with individual patient level data from an RCT for a
 time-to-event outcome to determine combined effect estimates according to 4
 methods: 1) a univariate meta-analysis using observed treatment effects, 2)
 a univariate meta-analysis using effects predicted by fitted Royston-Parmar
 flexible parametric models, 3) multivariate meta-analysis with analytically
 derived covariance, 4) multivariate meta-analysis with bootstrap derived
 covariance. This package computes all combined effects and provides an RMSTD
 curve with combined effect estimates and their confidence intervals.

Package: r-cran-metarnaseq
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1358
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-bioc-deseq2, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-metarnaseq_1.0.8-1.ca2004.1_all.deb
Size: 1274572
MD5sum: 561ad47d813ebc412f4311339238e487
SHA1: 3a2c5ba5d262cad08b6ea224392a57497dfadd0f
SHA256: 3fd1381f800506715fc97ec94d2399c989ca0c5dfbf0b2ac19ccc8fc973f8ac7
SHA512: 006f71b794cfa1dbbc051ff60f851e1de62775e1391069b5a5c0a9b7079f779d78ac802e3250e232ef87fef4d831e129c217ebb1556ab4aacd83a7a892542dc0
Homepage: https://cran.r-project.org/package=metaRNASeq
Description: CRAN Package 'metaRNASeq' (Meta-Analysis of RNA-Seq Data)
 Implementation of two p-value combination techniques (inverse normal and
 Fisher methods). A vignette is provided to explain how to perform a
 meta-analysis from two independent RNA-seq experiments.

Package: r-cran-metasdtreg
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ordinal, r-cran-maxlik, r-cran-truncnorm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-metasdtreg_0.2.2-1.ca2004.1_all.deb
Size: 105496
MD5sum: 742681347b36307b8c5058a85364ead8
SHA1: e0c1b4c32024885fc911e776d9b38f2313f55a93
SHA256: b8605a5b1ba6b3b227cf6711bb14f619272d2f56553c3c8b45b416ed27e62408
SHA512: 4354e0d8cd5238ffd5a520c8d4e15f5757bddb69701f80595c2e64a590e201c4e9c5f5f3a615e2d79073463ad3ee6945ab285b84b407cbed1dfdd1b8398fb4b4
Homepage: https://cran.r-project.org/package=metaSDTreg
Description: CRAN Package 'metaSDTreg' (Regression Models for Meta Signal Detection Theory)
 Regression methods for the meta-SDT model. The package implements methods
 for cognitive experiments of metacognition as described in Kristensen, S.
 B., Sandberg, K., & Bibby, B. M. (2020). Regression methods for
 metacognitive sensitivity. Journal of Mathematical Psychology, 94.
 <doi:10.1016/j.jmp.2019.102297>.

Package: r-cran-metasem
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2930
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openmx, r-cran-matrix, r-cran-mass, r-cran-ellipse, r-cran-mvtnorm, r-cran-numderiv, r-cran-lavaan
Suggests: r-cran-metafor, r-cran-semplot, r-cran-r.rsp, r-cran-testthat, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-metasem_1.5.0-1.ca2004.1_all.deb
Size: 2072448
MD5sum: 5c530ddf69f848eae551c29656adb9d6
SHA1: 4a45b21d69f8d467d39de5c4795cf1ebd421cbb5
SHA256: 4634c95ae556cf68d002212b04c60835f74411b34376eb57279ee58253695580
SHA512: 22028fb014a5e457f33a8c0245ee7c0a8b1fd3b92dc88c30ec316999298611d60bb1328c19c1f9bcfead781711de0c479f143f6f9ee473021b21e7df3d01a572
Homepage: https://cran.r-project.org/package=metaSEM
Description: CRAN Package 'metaSEM' (Meta-Analysis using Structural Equation Modeling)
 A collection of functions for conducting meta-analysis using a structural
 equation modeling (SEM) approach via the 'OpenMx' and 'lavaan' packages. It
 also implements various procedures to perform meta-analytic structural
 equation modeling on the correlation and covariance matrices, see Cheung
 (2015) <doi:10.3389/fpsyg.2014.01521>.

Package: r-cran-metasens
Architecture: all
Version: 1.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-meta
Filename: pool/dists/focal/main/r-cran-metasens_1.5-3-1.ca2004.1_all.deb
Size: 300316
MD5sum: 3cd161cddaf2f48e4a0b77622aaaab16
SHA1: 8446f322c2357662aae0379b8641021558b474e6
SHA256: 322e18717e18995e9220f7c1ed6bd1954033915c74e960c8bc6cf7e15844a56f
SHA512: 37ba73d3485fb16a7bc55eb5cd6fc06caf7cadc835bf4f498601d43c380d7f15b065512fd0e2e7db8f1d19671b24cc1a65cf91de69b2e654fd0b01e89919e73c
Homepage: https://cran.r-project.org/package=metasens
Description: CRAN Package 'metasens' (Statistical Methods for Sensitivity Analysis in Meta-Analysis)
 The following methods are implemented to evaluate how sensitive the results
 of a meta-analysis are to potential bias in meta-analysis and to support
 Schwarzer et al. (2015) <DOI:10.1007/978-3-319-21416-0>, Chapter 5
 'Small-Study Effects in Meta-Analysis': - Copas selection model described in
 Copas & Shi (2001) <DOI:10.1177/096228020101000402>; - limit meta-analysis
 by Rücker et al. (2011) <DOI:10.1093/biostatistics/kxq046>; - upper bound
 for outcome reporting bias by Copas & Jackson (2004)
 <DOI:10.1111/j.0006-341X.2004.00161.x>; - imputation methods for missing
 binary data by Gamble & Hollis (2005) <DOI:10.1016/j.jclinepi.2004.09.013>
 and Higgins et al. (2008) <DOI:10.1177/1740774508091600>; - LFK index test
 and Doi plot by Furuya-Kanamori et al. (2018)
 <DOI:10.1097/XEB.0000000000000141>.

Package: r-cran-metasnf
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5035
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-cluster, r-cran-data.table, r-cran-digest, r-cran-dplyr, r-cran-ggplot2, r-cran-mass, r-cran-mclust, r-cran-progressr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-snftool, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-circlize, r-bioc-complexheatmap, r-bioc-interactivecomplexheatmap, r-cran-clv, r-cran-future, r-cran-future.apply, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggalluvial, r-cran-lifecycle, r-cran-dbscan
Filename: pool/dists/focal/main/r-cran-metasnf_2.1.2-1.ca2004.1_all.deb
Size: 3161172
MD5sum: de5ae33bf0cbce62281837e7403ad5b8
SHA1: a2db4b2674540674a73b282530c248fd20fa8028
SHA256: 18a0a39455a24f3424df08ac726071193a4435a7a09a4c2984d0792c133e8772
SHA512: 6cdb0c9440fc7cdaf07a05f2d216597a8e7b399282032fabe11820fc1a30276ab1df0c9e8f2238db2ff56ebf28c727a78fee21f2325a41af72a715a0d79b8ca1
Homepage: https://cran.r-project.org/package=metasnf
Description: CRAN Package 'metasnf' (Meta Clustering with Similarity Network Fusion)
 Framework to facilitate patient subtyping with similarity network fusion and
 meta clustering. The similarity network fusion (SNF) algorithm was
 introduced by Wang et al. (2014) in <doi:10.1038/nmeth.2810>. SNF is a data
 integration approach that can transform high-dimensional and diverse data
 types into a single similarity network suitable for clustering with minimal
 loss of information from each initial data source. The meta clustering
 approach was introduced by Caruana et al. (2006) in
 <doi:10.1109/ICDM.2006.103>. Meta clustering involves generating a wide
 range of cluster solutions by adjusting clustering hyperparameters, then
 clustering the solutions themselves into a manageable number of
 qualitatively similar solutions, and finally characterizing representative
 solutions to find ones that are best for the user's specific context. This
 package provides a framework to easily transform multi-modal data into a
 wide range of similarity network fusion-derived cluster solutions as well as
 to visualize, characterize, and validate those solutions. Core package
 functionality includes easy customization of distance metrics, clustering
 algorithms, and SNF hyperparameters to generate diverse clustering
 solutions; calculation and plotting of associations between features,
 between patients, and between cluster solutions; and standard cluster
 validation approaches including resampled measures of cluster stability,
 standard metrics of cluster quality, and label propagation to evaluate
 generalizability in unseen data. Associated vignettes guide the user through
 using the package to identify patient subtypes while adhering to best
 practices for unsupervised learning.

Package: r-cran-metasubtract
Architecture: all
Version: 1.60-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metasubtract_1.60-1.ca2004.1_all.deb
Size: 166644
MD5sum: eb6683a1cca40bfca4c99949ed4e7ed1
SHA1: 11516bf8384024971380f297bf8daa5487341416
SHA256: f1e936e04247c2c677a086017c138c13cb10ed609b1006f0fa92bb45a3f7f1e4
SHA512: 091fc434a9e3de016156996a228620e7e2de336a671c69401be4209616adeb21f16043e05ca5c516bb13da13ca1b08f22c7367656f8090f4e10f4b739ef9395a
Homepage: https://cran.r-project.org/package=MetaSubtract
Description: CRAN Package 'MetaSubtract' (Subtracting Summary Statistics of One or more Cohorts fromMeta-GWAS Results)
 If results from a meta-GWAS are used for validation in one of the cohorts
 that was included in the meta-analysis, this will yield biased (i.e. too
 optimistic) results.  The validation cohort needs to be independent from the
 meta-Genome-Wide-Association-Study (meta-GWAS) results.  'MetaSubtract' will
 subtract the results of the respective cohort from the meta-GWAS results
 analytically without having to redo the meta-GWAS analysis using the
 leave-one-out methodology.  It can handle different meta-analyses methods
 and takes into account if single or double genomic control correction was
 applied to the original meta-analysis.  It can also handle different
 meta-analysis methods. It can be used for whole GWAS, but also for a limited
 set of genetic markers.  See for application: Nolte I.M. et al. (2017);
 <doi: 10.1038/ejhg.2017.50>.

Package: r-cran-metasurvival
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metasurvival_0.1.0-1.ca2004.1_all.deb
Size: 53744
MD5sum: 690054c69016a0a0c7b393ebfd7db5ff
SHA1: ea418b760fde55a8114116f4cb603448143abb0c
SHA256: d9f55b15d0900478fcf44696fb3d246c5c9fee8581b2c44b8dec74d4d7f7080b
SHA512: 12ee6939f9e8eb7751857e929b4e8a497795f3ea2bd4680b7481a8e3690dcc919a1ccb91bc943e0374ee7bd2409d2b9a0b471e06320714fd49f67895e03334ed
Homepage: https://cran.r-project.org/package=metaSurvival
Description: CRAN Package 'metaSurvival' (Meta-Analysis of a Single Survival Curve)
 To assess a summary survival curve from survival probabilities and number of
 at-risk patients collected at various points in time in various studies, and
 to test the between-strata heterogeneity.

Package: r-cran-metatest
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metatest_1.0-5-1.ca2004.1_all.deb
Size: 39092
MD5sum: a953ee593f343c89db1c2be29198ffe6
SHA1: 1a6c68000f31d0055d06221236d956068062561c
SHA256: 5566546483540ec0551a243730e1bd73e5a36c6071ac5a24c1f9a1d2162f24ec
SHA512: ee9e2bbebf5ab23d3e622b84bebd75e4879fd699698a9f766dbbb50649da331ea6989dcee09111d0ad6ea608cd06b39401331ed2c8641d0eb284bf5925ae2213
Homepage: https://cran.r-project.org/package=metatest
Description: CRAN Package 'metatest' (Fit and Test Metaregression Models)
 Fits and tests meta regression models and generates a number of useful test
 statistics: next to t- and z-tests, the likelihood ratio, bartlett corrected
 likelihood ratio and permutation tests are performed on the model
 coefficients.

Package: r-cran-metathis
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metathis_1.1.4-1.ca2004.1_all.deb
Size: 198408
MD5sum: 41708ef9446e748a24ad5e6a8d073a48
SHA1: 3e8cc513e4d92ad469bda8712140321defae8e41
SHA256: 49133f327acbdfe725835055669350d80c8715747b3650f48206a1852d704a0b
SHA512: b1101ececce0db0576fcda845a7c0429a439027bd409dfe6563cbfa725298e250fe327995872c7905f8838b3bdaa4aa7d190d9fd9bfd4d86664d129e7a7ea289
Homepage: https://cran.r-project.org/package=metathis
Description: CRAN Package 'metathis' (HTML Metadata Tags for 'R Markdown' and 'Shiny')
 Create meta tags for 'R Markdown' HTML documents and 'Shiny' apps for
 customized social media cards, for accessibility, and quality search engine
 indexing. 'metathis' currently supports HTML documents created with
 'rmarkdown', 'shiny', 'xaringan', 'pagedown', 'bookdown', and
 'flexdashboard'.

Package: r-cran-metatools
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-metacore, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-haven, r-cran-covr, r-cran-safetydata, r-cran-pharmaversesdtm, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-metatools_0.1.6-1.ca2004.1_all.deb
Size: 285680
MD5sum: e44e14e0666a800e374fc8c8477eabba
SHA1: e26dceb904d7643b247300d5ac14ad0442f70dee
SHA256: d56b038b7731acc7150e68c8aab333285389b731d686703aa8a7c2694fa23be2
SHA512: 4f498ccecab51008903da4e726429426c9e3bd946aeec43b0ed7aeb1c3a131f1a3e0bad2074ab1026b131ccef69dcc9ac1317b177fbca052a014701dc09bb47d
Homepage: https://cran.r-project.org/package=metatools
Description: CRAN Package 'metatools' (Enable the Use of 'metacore' to Help Create and Check Dataset)
 Uses the metadata information stored in 'metacore' objects to check and
 build metadata associated columns.

Package: r-cran-metatron
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-mpt, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-metatron_0.1-1-1.ca2004.1_all.deb
Size: 71604
MD5sum: d035a6f0be7d413edb8aa29e2bf5bee1
SHA1: fc2eb43d4e1a2d3dbc69d17ef25a59258d42f04e
SHA256: e45ea2a21bcae068c942986e8480541098d275d385fea6818e5430b588441177
SHA512: e30df46b2772a84c476e3e1e57e0d3117d11fc6d1910c20f9e3d57940c73721ca0495fd24ad0325c07e38f61061fff8d608e01f9253764d48027e015619c3e78
Homepage: https://cran.r-project.org/package=Metatron
Description: CRAN Package 'Metatron' (Meta-analysis for Classification Data and Correction toImperfect Reference)
 This package allows doing meta-analysis for primary studies with
 classification outcomes in order to evaluate systematically the accuracies
 of classifiers, namely, the diagnostic tests. It provides functions to fit
 the bivariate model of Reitsma et al.(2005). Moreover, if the reference
 employed in the classification process isn't a gold standard, its deficit
 can be detected and its influence to the underestimation of the diagnostic
 test's accuracy can be corrected, as described in Botella et al.(2013).

Package: r-cran-metaumbrella
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1801
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-metaconvert, r-cran-pwr, r-cran-powersurvepi, r-cran-readxl, r-cran-withr, r-cran-writexl, r-cran-xtable
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-spelling, r-cran-dt, r-cran-epir, r-cran-esc, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-metaumbrella_1.1.0-1.ca2004.1_all.deb
Size: 748716
MD5sum: dab69312ea2b5e71328a81720053cb38
SHA1: e85fa4c237f3aad1762270a1825c10b616cb4811
SHA256: 6d80f64cfc282cadf5ed210e50d59e9acbcce0715851114abf9d35b44fc2edfe
SHA512: 56717c8ccde9cd67648e0930fd0562e8dbe1b9c9e57875d92f9ca88beccebd565dd96d9ad31068ce01b701822a2c6c131086425a2a9b3fbebcbd8a5001a9f834
Homepage: https://cran.r-project.org/package=metaumbrella
Description: CRAN Package 'metaumbrella' (Umbrella Review Package for R)
 A comprehensive range of facilities to perform umbrella reviews with
 stratification of the evidence in R. The package accomplishes this aim by
 building on three core functions that: (i) automatically perform all
 required calculations in an umbrella review (including but not limited to
 meta-analyses), (ii) stratify evidence according to various classification
 criteria, and (iii) generate a visual representation of the results. Note
 that if you are not familiar with R, the core features of this package are
 available from a web browser (<https://www.metaumbrella.org/>).

Package: r-cran-metautility
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-metadat, r-cran-stringr, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-metautility_2.1.2-1.ca2004.1_all.deb
Size: 258852
MD5sum: b2affefbd804a50e4fba719bd8337ce6
SHA1: d9075347e4095b9f87c00e4adaf66f768b1a631b
SHA256: 173146cec8c88edb7bd239b2a779f25e4846f0f5e6ea5873e40d3a47e0cd0d49
SHA512: 3d36a15de03785e00e6dd586e809a3d73800c1243bb9ffbea88360937ec2a73512842697562c4b81a1334cd1f032cfd270f1af4e594d54763e61ca0ea5c226b5
Homepage: https://cran.r-project.org/package=MetaUtility
Description: CRAN Package 'MetaUtility' (Utility Functions for Conducting and Interpreting Meta-Analyses)
 Contains functions to estimate the proportion of effects stronger than a
 threshold of scientific importance (function prop_stronger), to
 nonparametrically characterize the distribution of effects in a
 meta-analysis (calib_ests, pct_pval), to make effect size conversions
 (r_to_d, r_to_z, z_to_r, d_to_logRR), to compute and format inference in a
 meta-analysis (format_CI, format_stat, tau_CI), to scrape results from
 existing meta-analyses for re-analysis (scrape_meta, parse_CI_string,
 ci_to_var).

Package: r-cran-metavcov
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-mixmeta, r-cran-metasem, r-cran-mvmeta, r-cran-mice
Filename: pool/dists/focal/main/r-cran-metavcov_2.1.5-1.ca2004.1_all.deb
Size: 196272
MD5sum: 5516c0ab1957ddf6af1cdf43dd9d8c4b
SHA1: 8148726d6320294d51f464368c42940f2d4b72f8
SHA256: 3cd331d33836642557348a0a070680efd791219c3239fd9a5eeed96031d33743
SHA512: 35d554b05b263a336e2de4301fa131c9f5bc5274393baab970da4f886a1ca0f49728c86cc30848fffa0aec8685e5aa636032ea0dbe26a08b0b3fb47de6c78b3d
Homepage: https://cran.r-project.org/package=metavcov
Description: CRAN Package 'metavcov' (Computing Variances and Covariances, Visualization and MissingData Solution for Multivariate Meta-Analysis)
 Collection of functions to compute within-study covariances for different
 effect sizes, data visualization, and single and multiple imputations for
 missing data. Effect sizes include correlation (r), mean difference (MD),
 standardized mean difference (SMD), log odds ratio (logOR), log risk ratio
 (logRR), and risk difference (RD).

Package: r-cran-metaviz
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2557
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-nullabor, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-metafor, r-cran-gridextra, r-cran-ggpubr
Suggests: r-cran-cairo, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metaviz_0.3.1-1.ca2004.1_all.deb
Size: 1645180
MD5sum: 45e1effd8616a1b2387d7708078a80cc
SHA1: 7d9726dd5607fcf1722fdfd6532b010afb4e9d75
SHA256: 27511c60bc2b4d67f4f2d0c5f00f9ec6a136adb0d857a6afa0ee538f6618b04c
SHA512: 87d48b2bf539a2ebdfe5145b14d5ceee5d1b28786d4c903f2152adfdfe17c7c7320517d7a4c41fad02665df7dd93fa570191f3c849aafcb09f88129dd533a2f9
Homepage: https://cran.r-project.org/package=metaviz
Description: CRAN Package 'metaviz' (Forest Plots, Funnel Plots, and Visual Funnel Plot Inference forMeta-Analysis)
 A compilation of functions to create visually appealing and information-rich
 plots of meta-analytic data using 'ggplot2'. Currently allows to create
 forest plots, funnel plots, and many of their variants, such as rainforest
 plots, thick forest plots, additional evidence contour funnel plots, and
 sunset funnel plots. In addition, functionalities for visual inference with
 the funnel plot in the context of meta-analysis are provided.

Package: r-cran-metawho
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-dplyr, r-cran-forestmodel, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metawho_0.2.0-1.ca2004.1_all.deb
Size: 121224
MD5sum: 4e87c8aa09211b63d3313cd8f8d303fa
SHA1: 70692c241a2561f56a50220aebc0ce63a50aa8fd
SHA256: 0f61604049613f9e4fdcc61e669908795a87bb86b1b458bc0a6460511f8f6d66
SHA512: 00a2f58596c99f4412496b73aa38ad1576a396820c6195a744c6c2f33051e2b23c34bebf1deb59fc31090af074629b32377abd4547ece8779581971210c87d7c
Homepage: https://cran.r-project.org/package=metawho
Description: CRAN Package 'metawho' (Meta-Analytical Implementation to Identify Who Benefits Mostfrom Treatments)
 A tool for implementing so called 'deft' approach (see Fisher, David J., et
 al. (2017) <DOI:10.1136/bmj.j573>) and model visualization.

Package: r-cran-metbrewer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-metbrewer_0.2.0-1.ca2004.1_all.deb
Size: 63528
MD5sum: 61a999fb5a84e01186f92736bc70e216
SHA1: 7d43a17fe85ac071218431bb4ae7239bff039513
SHA256: cc2a78c65a00ec2ed4ce62cad0bd33f6bd9b58bbcb8099e706107ba1836dda15
SHA512: ffa8a3707f66e9255466951ba75c49af9ff15954e6bcbe614393ef0f2dc674070107e8ecc4926280bc3b1f477e63ef1d0039edab8d89c541a4d30af471906dbf
Homepage: https://cran.r-project.org/package=MetBrewer
Description: CRAN Package 'MetBrewer' (Color Palettes Inspired by Works at the Metropolitan Museum ofArt)
 Palettes Inspired by Works at the Metropolitan Museum of Art in New York.
 Currently contains over 50 color schemes and checks for
 colorblind-friendliness of palettes. Colorblind accessibility checked using
 the '{colorblindcheck} package by Jakub
 Nowosad'<https://jakubnowosad.com/colorblindcheck/>.

Package: r-cran-metchem
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1401
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-kodama, r-cran-httr, r-cran-xml, r-cran-fingerprint, r-cran-rcdk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-readxl, r-bioc-impute, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-clinical
Filename: pool/dists/focal/main/r-cran-metchem_0.5-1.ca2004.1_all.deb
Size: 1355840
MD5sum: dfb527071784e1a6d91788d22e466517
SHA1: d3725f2a94a111c99e4de3c97b8e347a83343b58
SHA256: 9f8ed877b38fbc6fec69682a5a103eabd98701b911cba27487de28ec24214c32
SHA512: 8be64fce64bcc82705a3e8b18b79a783c87639fa4dd909ea579b172dc4b137b160d164c237cb23941d50e3d1453c1f79c2f13a85b3be897412b28f8e68daee6d
Homepage: https://cran.r-project.org/package=MetChem
Description: CRAN Package 'MetChem' (Chemical Structural Similarity Analysis)
 A new pipeline to explore chemical structural similarity across metabolites.
 It allows the metabolite classification in structurally-related modules and
 identifies common shared functional groups. The KODAMA algorithm is used to
 highlight structural similarity between metabolites. See Cacciatore S,
 Tenori L, Luchinat C, Bennett PR, MacIntyre DA. (2017) Bioinformatics
 <doi:10.1093/bioinformatics/btw705>, Cacciatore S, Luchinat C, Tenori L.
 (2014) Proc Natl Acad Sci USA <doi:10.1073/pnas.1220873111>, and Abdel-Shafy
 EA, Melak T, MacIntyre DA, Zadra G, Zerbini LF, Piazza S, Cacciatore S.
 (2023) Bioinformatics Advances <doi:10.1093/bioadv/vbad053>.

Package: r-cran-meteo
Architecture: all
Version: 2.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3380
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desctools, r-cran-caret, r-cran-data.table, r-cran-dplyr, r-cran-sp, r-cran-spacetime, r-cran-gstat, r-cran-foreach, r-cran-snowfall, r-cran-doparallel, r-cran-plyr, r-cran-units, r-cran-nabor, r-cran-cast, r-cran-ranger, r-cran-sf, r-cran-sftime, r-cran-raster, r-cran-terra, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-meteo_2.0-3-1.ca2004.1_all.deb
Size: 3363752
MD5sum: 160dd5f07364dfe6274cc3a7da431d38
SHA1: f64e4bb287430f9024490ef13054fa8b870dfe59
SHA256: dacdb03c488cc60b7e0f9bdbd15e8c19e1837f4bd36917fa66140728ba6356bf
SHA512: 51064f780d6101ec7da6fb1bfcc824c1dce17460afa6113fbc0b4b8069ada05224aeecb99ff2b1560bc5af444fdbc2145aff700a217f47bfc5ce9d833ab7ff4b
Homepage: https://cran.r-project.org/package=meteo
Description: CRAN Package 'meteo' (RFSI & STRK Interpolation for Meteo and Environmental Variables)
 Random Forest Spatial Interpolation (RFSI, Sekulić et al. (2020)
 <doi:10.3390/rs12101687>) and spatio-temporal geostatistical
 (spatio-temporal regression Kriging (STRK)) interpolation for meteorological
 (Kilibarda et al. (2014) <doi:10.1002/2013JD020803>, Sekulić et al. (2020)
 <doi:10.1007/s00704-019-03077-3>) and other environmental variables.
 Contains global spatio-temporal models calculated using publicly available
 data.

Package: r-cran-meteoevt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-meteoevt_0.1.0-1.ca2004.1_all.deb
Size: 626908
MD5sum: 50ebd4c36195b00970ea8e2c1ccdf1b9
SHA1: d38ceb2c80cd28fe34c6344ac8b202f0ad41a0a2
SHA256: e96f62eef0c137043036b30749a44ecdc753d36dbe597eecf7ffd4a72fff3f6d
SHA512: 9fe702c2a09bcc1792f9441af7e346773df68c1771f9f60752063494e741043ae0a98644538b2cb518340176e6f6c36291f26bbfe7496e109fb7bec2b1e89411
Homepage: https://cran.r-project.org/package=meteoEVT
Description: CRAN Package 'meteoEVT' (Computation and Visualization of Energetic and VorticalAtmospheric Quantities)
 Energy-Vorticity theory (EVT) is the fundamental theory to describe
 processes in the atmosphere by combining conserved quantities from
 hydrodynamics and thermodynamics. The package 'meteoEVT' provides functions
 to calculate many energetic and vortical quantities, like potential
 vorticity, Bernoulli function and dynamic state index (DSI) [e.g. Weber and
 Nevir, 2008, <doi:10.1111/j.1600-0870.2007.00272.x>], for given gridded
 data, like ERA5 reanalyses. These quantities can be studied directly or can
 be used for many applications in meteorology, e.g., the objective
 identification of atmospheric fronts. For this purpose, separate function
 are provided that allow the detection of fronts based on the thermic front
 parameter [Hewson, 1998, <doi:10.1017/S1350482798000553>], the F diagnostic
 [Parfitt et al., 2017, <doi:10.1002/2017GL073662>] and the DSI [Mack et al.,
 2022, <arXiv:2208.11438>].

Package: r-cran-meteoforecast
Architecture: all
Version: 0.56-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-zoo, r-cran-ncdf4, r-cran-xml
Suggests: r-cran-sf, r-cran-lattice, r-cran-rastervis
Filename: pool/dists/focal/main/r-cran-meteoforecast_0.56-1.ca2004.1_all.deb
Size: 93656
MD5sum: 56dc74db88346e2e6bc910aa439e7eb9
SHA1: 1731cf975dc8eb8bced200288ff19ac535f8c280
SHA256: 23b8fce8e18be2564fea8e980f45a3b2e71235374c94f24d36ed3124c816348f
SHA512: fdd566c3978c4e74debc989b834318fb2e936699daf890c67dda7f9a843987a63df18229b70248e8527bab1c814eb831f05b79bc8443bcbb628def7f254abec5
Homepage: https://cran.r-project.org/package=meteoForecast
Description: CRAN Package 'meteoForecast' (Numerical Weather Predictions)
 Access to several Numerical Weather Prediction services both in raster
 format and as a time series for a location. Currently it works with GFS
 <https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast>,
 MeteoGalicia <https://www.meteogalicia.gal/web/modelos/threddsIndex.action>,
 NAM
 <https://www.ncei.noaa.gov/products/weather-climate-models/north-american-mesoscale>,
 and RAP
 <https://www.ncei.noaa.gov/products/weather-climate-models/rapid-refresh-update>.

Package: r-cran-meteogram
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-radiosonde
Filename: pool/dists/focal/main/r-cran-meteogram_1.0-1.ca2004.1_all.deb
Size: 23992
MD5sum: c889dece8b071986e8ae87238d013042
SHA1: cfcc90385bd776f2680ed736eb223b6ac253f31f
SHA256: d9918363dba8a61d8b762dc0f956a585ee194ca52ac1e28f33de994f0cf7aacf
SHA512: 48c29a27e50230a6aae7d86a9abd34797d82faf50c9669673458c86111ce9bca02adfd94c177da08260af77363a972d9fa76daff9231f0bf9e9931db0ad45213
Homepage: https://cran.r-project.org/package=meteogRam
Description: CRAN Package 'meteogRam' (Tools for plotting meteograms)
 meteogram is a collection of programs for plotting meteograms for
 meteorological data such as atmospheric cross section, temperatures plots.

Package: r-cran-meteospain
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1783
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr, r-cran-units, r-cran-xml2, r-cran-vctrs, r-cran-memoise, r-cran-cachem, r-cran-curl, r-cran-cli
Suggests: r-cran-ggforce, r-cran-ggplot2, r-cran-keyring, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-meteospain_0.2.0-1.ca2004.1_all.deb
Size: 1215204
MD5sum: 3bb881d79508a0de80245cef9846abb2
SHA1: dcc1a537546f1752eac33f5f4c92ce43ddbb4d68
SHA256: 3fd89a68fd215a3848e0949c13f00282e4be7037863f5274a907bd077e77de61
SHA512: 6720866a3dc0be5cf328b54d6e569a15a74cbd5a485c2fad8c1646b7e97991f6b6327fe0ccdb01d49c81bcde929761df51b4f211e3068be7f88ee46aeee41f3d
Homepage: https://cran.r-project.org/package=meteospain
Description: CRAN Package 'meteospain' (Access to Spanish Meteorological Stations Services)
 Access to different Spanish meteorological stations data services and APIs
 (AEMET, SMC, MG, Meteoclimatic...).

Package: r-cran-meter
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 944
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv, r-cran-distr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-meter_1.2-1.ca2004.1_all.deb
Size: 621424
MD5sum: 9810c30ff0a520a0f0cb6dfa65ef2882
SHA1: 48916aa5b825fe1d97e835379a8a181d3c94d829
SHA256: f4307070fba1ed9e125ae475dd5df8a02aafda4d677822cf453e6c7b5188f264
SHA512: 1750a785365b373d587ec890c9c17e709d7cc68de28a1b1964c0e05f93c4985eca901bc739330df37f26dbaeccd6fd9e5564b157e7632c8de44b0d83a115eb9c
Homepage: https://cran.r-project.org/package=meteR
Description: CRAN Package 'meteR' (Fitting and Plotting Tools for the Maximum Entropy Theory ofEcology (METE))
 Fit and plot macroecological patterns predicted by the Maximum Entropy
 Theory of Ecology (METE).

Package: r-cran-metevalue
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3013
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sqldf, r-cran-psych, r-cran-dplyr
Suggests: r-cran-rmarkdown, r-cran-prettydoc, r-cran-knitr, r-cran-ggplot2, r-cran-tidyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metevalue_0.2.4-1.ca2004.1_all.deb
Size: 2920424
MD5sum: 1e2b3f7f60b3839af8e4830ed1a99534
SHA1: b0d727ba472bbd5382f01fa5231b5c07a10efade
SHA256: d4a9ac79c1be128150a214576b41db32f7bc05711b04c37877b1ca22654e5a8c
SHA512: c35f385b3c1c59f5f2e8e742135b21cca0916ee0408e994f09029ac083c6cb1037cf09a287594b92cfb28bc3326ba901341de38ea786270dc99bda1aa8ed30c2
Homepage: https://cran.r-project.org/package=metevalue
Description: CRAN Package 'metevalue' (E-Value in the Omics Data Association Studies)
 In the omics data association studies, it is common to conduct the p-value
 corrections to control the false significance. Beyond the P-value
 corrections, E-value is recently studied to facilitate multiple testing
 correction based on V. Vovk and R. Wang (2021) <doi:10.1214/20-AOS2020>.
 This package provides E-value calculation for DNA methylation data and
 RNA-seq data. Currently, five data formats are supported: DNA methylation
 levels using DMR detection tools (BiSeq, DMRfinder, MethylKit, Metilene and
 other DNA methylation tools) and RNA-seq data. The relevant references are
 listed below: Katja Hebestreit and Hans-Ulrich Klein (2022)
 <doi:10.18129/B9.bioc.BiSeq>; Altuna Akalin et.al (2012)
 <doi:10.18129/B9.bioc.methylKit>.

Package: r-cran-metgen
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-glmnet, r-cran-mass
Filename: pool/dists/focal/main/r-cran-metgen_0.5-1.ca2004.1_all.deb
Size: 161076
MD5sum: cdd87d8f77373a01c01b3839b5a84aff
SHA1: a9f64138f31014315af92dca5d3ba9f909b7283f
SHA256: ca33bca212c25920f97485f20f577d6a3c9157c04b1e47f362f7a6cf6a8fe5e4
SHA512: d67ba6d1c8947d6140f0eeb25f9259ad09efb66475128a876d6c5081cb53b91fc4ed6bbe1cb23b81425b3bff5ebfc6e09a47687e2d4e6034b37f10f57c2a0b27
Homepage: https://cran.r-project.org/package=MetGen
Description: CRAN Package 'MetGen' (Stochastic Weather Generator)
 An adaptation of the multi-variable stochastic weather generator proposed in
 'Rglimclim' to perform gap-filling and temporal extension at sub-daily
 resolution. Simulation is performed based on large scale variables and
 climatic observation data that could be generated from different gauged
 stations having geographical proximity. SWG relies on reanalyses.
 Multi-variable dependence is taking into account by using the decomposition
 of the product rule (in statistics) into conditional probabilities. See
 <https://hal.archives-ouvertes.fr/hal-02554676>.

Package: r-cran-methcomp
Architecture: all
Version: 1.30.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3030
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-nlme
Suggests: r-cran-lattice, r-cran-lme4, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-methcomp_1.30.2-1.ca2004.1_all.deb
Size: 3038632
MD5sum: 5004f8d69c1bc52c3ccee65e721e12b1
SHA1: ad9c41319e00a8d997d6ea3ce72cbd22ea26be45
SHA256: 9e465a1872356bb9dbebf170b77673fddd801845d9ca0bdbc893340903498d8c
SHA512: 38e6989b98cd0db73f032680cfa79b459ed1e76beba20ea2a63dce128d7366bb12fc39ecc85bb42c9b8636d01c564f5aae0dd12a8062d69175f0e21cfbefc06e
Homepage: https://cran.r-project.org/package=MethComp
Description: CRAN Package 'MethComp' (Analysis of Agreement in Method Comparison Studies)
 Methods (standard and advanced) for analysis of agreement between
 measurement methods. These cover Bland-Altman plots, Deming regression,
 Lin's Total deviation index, and difference-on-average regression. See
 Carstensen B. (2010) "Comparing Clinical Measurement Methods: A Practical
 Guide (Statistics in Practice)" <doi:10.1002/9780470683019> for more
 information.

Package: r-cran-methcon5
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-methcon5_0.1.0-1.ca2004.1_all.deb
Size: 164608
MD5sum: 0d423f97201f231a05cdace580e39f9c
SHA1: 8052529678e5ff0cb3bfd7412b69779d782db4d8
SHA256: 639529edbf756c50a4efc144d95554bbbb3da44923b19f84706535448381fbf4
SHA512: a4c5e2f3906b45327b594c1c81597a56060885b657d157e49c4656b0af85496819616d1454ca780015aba576f035588c75c356e8be97b51de346f209f5ee706f
Homepage: https://cran.r-project.org/package=methcon5
Description: CRAN Package 'methcon5' (Identify and Rank CpG DNA Methylation Conservation Along theHuman Genome)
 Identify and rank CpG DNA methylation conservation along the human genome.
 Specifically it includes bootstrapping methods to provide ranking which
 should adjust for the differences in length as without it short regions tend
 to get higher conservation scores.

Package: r-cran-methevolsim
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-ape
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-methevolsim_0.2.1-1.ca2004.1_all.deb
Size: 1543876
MD5sum: 2cc2717524b1b9a708331ef208093d97
SHA1: a834d24716c29ce0598cc85058528e93858584ba
SHA256: 024a63b8437313266804ff2fb6ae17079a17600949fa170a45de2717fc227347
SHA512: 814b340ae42ddedb2fde451ca6c5d88f5897531cab76b2b7b10323a54f5f649b46b913b392dc2e61b48c02ae89a4bf74c0f07da0556bf01730dd83182f147efb
Homepage: https://cran.r-project.org/package=MethEvolSIM
Description: CRAN Package 'MethEvolSIM' (Simulate DNA Methylation Dynamics on Different GenomicStructures along Genealogies)
 DNA methylation is an epigenetic modification involved in genomic stability,
 gene regulation, development and disease.  DNA methylation occurs mainly
 through the addition of a methyl group to cytosines, for example to
 cytosines in a CpG dinucleotide context (CpG stands for a cytosine followed
 by a guanine).  Tissue-specific methylation patterns lead to genomic regions
 with different characteristic methylation levels.  E.g. in vertebrates CpG
 islands (regions with high CpG content) that are associated to promoter
 regions of expressed genes tend to be unmethylated.  'MethEvolSIM' is a
 model-based simulation software for the generation and modification of
 cytosine methylation patterns along a given tree, which can be a genealogy
 of cells within an organism, a coalescent tree of DNA sequences sampled from
 a population, or a species tree.  The simulations are based on an extension
 of the model of Grosser & Metzler (2020) <doi:10.1186/s12859-020-3438-5> and
 allows for changes of the methylation states at single cytosine positions as
 well as simultaneous changes of methylation frequencies in genomic
 structures like CpG islands.

Package: r-cran-methodcompare
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-estimatr, r-cran-lme4, r-cran-matrix, r-cran-mfp, r-cran-rockchalk
Filename: pool/dists/focal/main/r-cran-methodcompare_1.1.0-1.ca2004.1_all.deb
Size: 269380
MD5sum: 92ca45e7f5c2360e81bc9183a2e2b985
SHA1: abdeae820f9404e5b66d940a64a2f91c6a5d5602
SHA256: 708e51af27549567d396ac0f8fb0a1a63251a0272b7c378c686c79514bfff32e
SHA512: d51497a9dfd8369208344629e9c5bf256de5c0f6a7f9adaa55da331b8728705c27f7dffbb1fd3baec099c6d5ea07f4ae0aa8a7a844cc8cfc4e63dc3de22a37dd
Homepage: https://cran.r-project.org/package=MethodCompare
Description: CRAN Package 'MethodCompare' (Evaluating Bias and Precision in Method Comparison Studies)
 Evaluate bias and precision in method comparison studies. One provides
 measurements for each method and it takes care of the estimates. Multiple
 plots to evaluate bias, precision and compare methods.

Package: r-cran-methodopt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-shiny, r-cran-shinyfeedback, r-cran-shinyalert, r-cran-htmltools, r-cran-frf2, r-cran-dt, r-cran-ggplot2, r-cran-dplyr, r-cran-shinyjs, r-cran-tibble, r-cran-glue, r-cran-rlang, r-cran-doe.wrapper, r-cran-gtools, r-cran-zip, r-cran-zoo, r-cran-purrr, r-cran-shinybs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-methodopt_1.0.0-1.ca2004.1_all.deb
Size: 1746996
MD5sum: 60924bde294fdb5e2aef7ed95a261d2c
SHA1: 5a3a969c219a6ef2d583bc9c5f445187b521d9d1
SHA256: 334472fed53bbffb6e213de2c60751c48bbcd7bbe721cdef30f7af8ad9595fa5
SHA512: d48d73777f942ca5516669ecaaf1e34da069b053ec60f751fd956f50b99a835e7deac1293c089d0ea67cba4f942191794a49df50ff3aa6f8dc6ae740debb0dc5
Homepage: https://cran.r-project.org/package=MethodOpt
Description: CRAN Package 'MethodOpt' (Advanced Method Optimization for Spectra-Generating Sampling andAnalysis Instrumentation)
 A graphical user interface to apply an advanced method optimization
 algorithm to various sampling and analysis instruments. This includes
 generating experimental designs, uploading and viewing data, and performing
 various analyses to determine the optimal method. Details of the techniques
 used in this package are published in Gamble, Granger, & Mannion (2024)
 <doi:10.1021/acs.analchem.3c05763>.

Package: r-cran-methplot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-methplot_1.0-1.ca2004.1_all.deb
Size: 52008
MD5sum: d3fcf9a525f0e777d9707f011ef2f995
SHA1: c2d4f8d76b1e964526eb2573082365c38a4eba81
SHA256: 068565e4b0ba552f3c73de7e1daffe9f7e4491b628c38cccebc436bf1adddc91
SHA512: abfe294fa0ca609816c936f05ae1b3a92d8cab34d6e93fbcf6ba92b8b665cf993354efbc6fb5c030efe22be2f4ded95f383a911348cda2cdd30bc7d5dbc0efcc
Homepage: https://cran.r-project.org/package=Methplot
Description: CRAN Package 'Methplot' (Visualize the methylation patterns)
 It plots the output from Methpup (https://github.com/XinYang6699/Methpup)

Package: r-cran-methylcapsig
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-methylcapsig_1.0.1-1.ca2004.1_all.deb
Size: 65124
MD5sum: 457d5608c871fa34bfdcaa301199fb08
SHA1: dead831d843f55551f97348a312466bad0e528c2
SHA256: 6b6140154b578873a78c5ec81bd49c728aaf6250b7bf2edc5304f31fa7a50ed0
SHA512: ba1e25eb124bcf0effccbf76d9ce2fece43038f5b8cd19c3040e15aade4c2e3c33c82bd656f5783729fcc7f002ac82efdc9361ef6e03f4b37b11d5d55d294e37
Homepage: https://cran.r-project.org/package=MethylCapSig
Description: CRAN Package 'MethylCapSig' (Detection of Differentially Methylated Regions usingMethylCap-Seq Data)
 Provides a univariate and several high dimensional multivariate test
 statistics for detecting differentially methylated regions based on
 MethylCap-seq data.

Package: r-cran-metnorm
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-metnorm_0.1-1.ca2004.1_all.deb
Size: 77068
MD5sum: c3e5fc3e0dfa5e632f99c81c7669610a
SHA1: de70f414029e69c0a60f363e5b5c5848241e65b6
SHA256: df20df25bd7e165c6181c0435e41baae8b98a48643439cb32ae97bc346ccca74
SHA512: 02fe60009eb6719cac5640535d22c0ef919c471de5ec484c7d346c140db9818b155937d6efeb08da8f095290b5289f4f161cda33478627277ce83cb25c59713b
Homepage: https://cran.r-project.org/package=MetNorm
Description: CRAN Package 'MetNorm' (Statistical Methods for Normalizing Metabolomics Data)
 Metabolomics data are inevitably subject to a component of unwanted
 variation, due to factors such as batch effects, matrix effects, and
 confounding biological variation. This package contains a collection of R
 functions which can be used to remove unwanted variation and obtain
 normalized metabolomics data.

Package: r-cran-meto
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-meto_0.1.1-1.ca2004.1_all.deb
Size: 95528
MD5sum: e1d18b8f05416383d6d75b122290af54
SHA1: 06f545acba5344cece3c79492f4bfaf24d3570ea
SHA256: f663832cce9c20cc67eb6496395dfa485004391cfc1ac978edd4f095c7400494
SHA512: f09e52ac68e4abb0cadf895101d2f03d6b3c0d816a50451e03ecc5cb6a80db99b295eb7d11a7e145411d9bb1738337900118aec004f5622721a8bd386a0c2db3
Homepage: https://cran.r-project.org/package=MeTo
Description: CRAN Package 'MeTo' (Meteorological Tools)
 Meteorological Tools following the FAO56 irrigation paper of Allen et al.
 (1998) [1].  Functions for calculating: reference evapotranspiration
 (ETref), extraterrestrial radiation (Ra), net radiation (Rn), saturation
 vapor pressure (satVP), global radiation (Rs), soil heat flux (G), daylight
 hours, and more.  [1] Allen, R. G., Pereira, L. S., Raes, D., & Smith, M.
 (1998). Crop evapotranspiration-Guidelines for computing crop water
 requirements-FAO Irrigation and drainage paper 56. FAO, Rome, 300(9).

Package: r-cran-metools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-lubridate, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-metools_1.0.0-1.ca2004.1_all.deb
Size: 161928
MD5sum: 695f57a3a256167d9d4d143fcc356aa0
SHA1: 82ab0d852db70f3175c689c0dc60a208e1a4493d
SHA256: 4fec675aa69b170d1a9983fc3712ff2582c1da72d132a68a6b4cc9adca4402f2
SHA512: b9fff2bf131bd89d42db95a386eca19b2358043719e75c2ae2c7dba20fec7b576a14d339487c4308b5abca827f9020397245f89f61ae3d1a454ee87a58f568b6
Homepage: https://cran.r-project.org/package=metools
Description: CRAN Package 'metools' (Macroeconomics Tools)
 Provides a number of functions to facilitate the handling and production of
 reports using time series data.  The package was developed to be
 understandable for beginners, so some functions aim to transform processes
 that would be complex into functions with a few lines. The main advantage of
 using the 'metools' package is the ease of producing reports and working
 with time series using a few lines of code, so the code is clean and easy to
 understand/maintain.  Learn more about the 'metools' at
 <https://metoolsr.wordpress.com>.

Package: r-cran-metproc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots, r-cran-fastcluster
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-metproc_1.0.1-1.ca2004.1_all.deb
Size: 297196
MD5sum: 2f87870b87cfd4a55d2747640bb58db0
SHA1: db65926062370568186ac479e614a6f375e46537
SHA256: e4748299c6488fd91befa66a412723104ad40500ac390b00f63be97ad8e93026
SHA512: 3d91692f40fee9f08e370d55250925f5c348b3fa4b1292a72e40864eedaa4d296df5ceb0d527319a374bdd80069d5b1dea1935fd433239a6c3167a51e6cd17ed
Homepage: https://cran.r-project.org/package=MetProc
Description: CRAN Package 'MetProc' (Separate Metabolites into Likely Measurement Artifacts and TrueMetabolites)
 Split an untargeted metabolomics data set into a set of likely true
 metabolites and a set of likely measurement artifacts. This process involves
 comparing missing rates of pooled plasma samples and biological samples. The
 functions assume a fixed injection order of samples where biological samples
 are randomized and processed between intermittent pooled plasma samples. By
 comparing patterns of missing data across injection order, metabolites that
 appear in blocks and are likely artifacts can be separated from metabolites
 that seem to have random dispersion of missing data. The two main metrics
 used are: 1. the number of consecutive blocks of samples with present data
 and 2. the correlation of missing rates between biological samples and
 flanking pooled plasma samples.

Package: r-cran-metr
Architecture: all
Version: 0.18.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4731
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-digest, r-cran-formula, r-cran-formula.tools, r-cran-ggplot2, r-cran-gtable, r-cran-memoise, r-cran-plyr, r-cran-scales, r-cran-sf, r-cran-stringr, r-cran-purrr, r-cran-isoband, r-cran-lubridate
Suggests: r-cran-maps, r-cran-covr, r-cran-irlba, r-cran-knitr, r-cran-ncdf4, r-cran-pkgdown, r-cran-reshape2, r-cran-markdown, r-cran-testthat, r-cran-viridis, r-cran-cftime, r-cran-gridextra, r-cran-vdiffr, r-cran-proj4, r-cran-kriging, r-cran-terra, r-cran-here, r-cran-gsignal, r-cran-rnaturalearth
Filename: pool/dists/focal/main/r-cran-metr_0.18.1-1.ca2004.1_all.deb
Size: 3671156
MD5sum: 2ff8f7151436e47e0ff5a344df69b57e
SHA1: 7927f59e50c9995f4baa60f4c522fd7e9ce9d7d0
SHA256: c0d22ec910bddbe7cbfa4aaeaed40241d8f43c766cec6016dd11c7cf6bbccc1d
SHA512: 60d2cc3b18c34449e9ee56c703b36deed429c6aeea08f0b64fd5359bfd35a1a425a31a0591ae0fffb91a63306f11de5f41eebd51cb51118bd9b834b0a23f9381
Homepage: https://cran.r-project.org/package=metR
Description: CRAN Package 'metR' (Tools for Easier Analysis of Meteorological Fields)
 Many useful functions and extensions for dealing with meteorological data in
 the tidy data framework. Extends 'ggplot2' for better plotting of scalar and
 vector fields and provides commonly used analysis methods in the atmospheric
 sciences.

Package: r-cran-metrica
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3006
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-dbi, r-cran-rsqlite, r-cran-ggpp, r-cran-minerva, r-cran-energy
Suggests: r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-apsimx, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metrica_2.1.0-1.ca2004.1_all.deb
Size: 2093304
MD5sum: b22a9ba35254b7d6e804840258836a65
SHA1: 43101044357631235932c297558ad7df9e5146c0
SHA256: bb2dd59c8b54aabc45534038abbc8fb66077824fef07ea7dfe75b981fda2a14c
SHA512: 0640f96e884a7a0898c3fea4eeba62b1f75dad5a645a64ba45f91333862257f87aa869ca0bbac66e6f95966a94b547576d2dfb9d4fa69ee9f7f1ea189eddd628
Homepage: https://cran.r-project.org/package=metrica
Description: CRAN Package 'metrica' (Prediction Performance Metrics)
 A compilation of more than 80 functions designed to quantitatively and
 visually evaluate prediction performance of regression (continuous
 variables) and classification (categorical variables) of point-forecast
 models (e.g. APSIM, DSSAT, DNDC, supervised Machine Learning). For
 regression, it includes functions to generate plots (scatter, tiles,
 density, & Bland-Altman plot), and to estimate error metrics (e.g. MBE, MAE,
 RMSE), error decomposition (e.g. lack of accuracy-precision), model
 efficiency (e.g. NSE, E1, KGE), indices of agreement (e.g. d, RAC), goodness
 of fit (e.g. r, R2), adjusted correlation coefficients (e.g. CCC, dcorr),
 symmetric regression coefficients (intercept, slope), and mean absolute
 scaled error (MASE) for time series predictions. For classification
 (binomial and multinomial), it offers functions to generate and plot
 confusion matrices, and to estimate performance metrics such as accuracy,
 precision, recall, specificity, F-score, Cohen's Kappa, G-mean, and many
 more. For more details visit the vignettes
 <https://adriancorrendo.github.io/metrica/>.

Package: r-cran-metricminer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-assertthat, r-cran-openssl, r-cran-gh, r-cran-getpass, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-tidyr, r-cran-googledrive, r-cran-googlesheets4, r-cran-janitor, r-cran-stringr, r-cran-magrittr, r-cran-rvest, r-cran-rprojroot, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-metricminer_1.0.0-1.ca2004.1_all.deb
Size: 218584
MD5sum: 74475e7233d903ef8e19e98352697c29
SHA1: 2e40cc5fa96d9bbd64db6fa1655e6edcef4fae2e
SHA256: 04ee8a7719c16005236a7bfbb2cb181196eed6f2d12359801dcab24515e0292c
SHA512: 596584610930411f663a64ea31ee69667386859eaf98ad2ae289299d709d5121a2cfe550353b4d8269d92827b2ec6906ad4b233415adc5fa07a1f7522bfeb173
Homepage: https://cran.r-project.org/package=metricminer
Description: CRAN Package 'metricminer' (Mine Metrics from Common Places on the Web)
 Mine metrics on common places on the web through the power of their APIs
 (application programming interfaces).  It also helps make the data in a
 format that is easily used for a dashboard or other purposes.  There is an
 associated dashboard template and tutorials that are underdevelopment that
 help you fully utilize 'metricminer'.

Package: r-cran-metrics
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metrics_0.1.4-1.ca2004.1_all.deb
Size: 81036
MD5sum: 8dc2c33a4cf1eec3102e004ac4a94af8
SHA1: 8724940867eb57782703c6483f07e7f5a0166a46
SHA256: 13be913d0bf6455defcfe34e13e7731e6d64fe63119f4ce9c524cff0ff0b3cb7
SHA512: af37484e363e3e85755d5345b029d6f4911c1d34faad24497f423561652e72929ce658ff053239c3a2dd8c274fe74f3540efeabb1f57c580c08930b07069f81b
Homepage: https://cran.r-project.org/package=Metrics
Description: CRAN Package 'Metrics' (Evaluation Metrics for Machine Learning)
 An implementation of evaluation metrics in R that are commonly used in
 supervised machine learning. It implements metrics for regression, time
 series, binary classification, classification, and information retrieval
 problems. It has zero dependencies and a consistent, simple interface for
 all functions.

Package: r-cran-metricsgraphics
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3608
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-ggplot2movies, r-cran-jsonlite, r-cran-knitr, r-cran-shiny, r-cran-binom, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-metricsgraphics_0.9.0-1.ca2004.1_all.deb
Size: 1060240
MD5sum: 770c3c4df684c65a90463bf0cdb249c2
SHA1: 43ae0f4fe95c917c78c57d91e7bd77708d607250
SHA256: d30c0064c6355c5a9e9cb2093fa0b3e952a50ee1e9fc7de9b8576cd42af3e0e0
SHA512: ab930ae21429059e909d1d4c88eb5b60bb9c6caa0865f5eb34efc72f0ea3e1d8a5b3392283ed9ddc0a7b35c7ca7c742ce2c16e9a2986d093360cde9709f59970
Homepage: https://cran.r-project.org/package=metricsgraphics
Description: CRAN Package 'metricsgraphics' (Create Interactive Charts with the JavaScript 'MetricsGraphics'Library)
 Provides an 'htmlwidgets' interface to the 'MetricsGraphics.js' ('D3'-based)
 charting library which is geared towards displaying time-series data. Chart
 types include line charts, scatterplots, histograms and rudimentary bar
 charts. Support for laying out multiple charts into a grid layout is also
 provided. All charts are interactive and many have an option for line, label
 and region annotations.

Package: r-cran-metricsweighted
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metricsweighted_1.0.4-1.ca2004.1_all.deb
Size: 119800
MD5sum: 8b09554917f67c3203ee7c22c057a34f
SHA1: 43ff435c8bed5880e43d38f2654752be0c914f46
SHA256: 33519a7987bc060411a4447abaeee92c0a78e8276ee68dec6233d4f49177e0ef
SHA512: bd000274f2afa332c1ccc8d373e2f980c49c74a279713e167dad96efe153e44f4ac100c7c5e7be366b44e1712439b8b642bec76de92adb192784add6a43a608e
Homepage: https://cran.r-project.org/package=MetricsWeighted
Description: CRAN Package 'MetricsWeighted' (Weighted Metrics and Performance Measures for Machine Learning)
 Provides weighted versions of several metrics and performance measures used
 in machine learning, including average unit deviances of the Bernoulli,
 Tweedie, Poisson, and Gamma distributions, see Jorgensen B. (1997, ISBN:
 978-0412997112).  The package also contains a weighted version of
 generalized R-squared, see e.g. Cohen, J. et al.  (2002, ISBN:
 978-0805822236).  Furthermore, 'dplyr' chains are supported.

Package: r-cran-metrix
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-stringr, r-cran-vegan
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-metrix_1.1.0-1.ca2004.1_all.deb
Size: 144972
MD5sum: 033e945a468fb6b76007581234dc2d92
SHA1: 412abd02e6f87debd19d3ba0f52a675d3896796f
SHA256: 670bc60e6cc05fbcb731c7ca12a183e354b2eeebf87f6ce7c15c9fcaa082701c
SHA512: f3f67ad3d9dedb9c858ce90d537d13d4638a79e1908eab26827a9b0777c7f2b7c6aa86c0f068c886c1c40213c74a68f5714bca72e699126dbbabc207711c5367
Homepage: https://cran.r-project.org/package=metrix
Description: CRAN Package 'metrix' (Water Quality Metrics Calculator)
 Calculate different metrics based on aquatic macroinvertebrate density data
 (individuals per square meter) to assess water quality (Prat N et al. 2009).

Package: r-cran-metro
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geodist, r-cran-hms, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-covr, r-cran-mockr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metro_0.9.3-1.ca2004.1_all.deb
Size: 362052
MD5sum: f2919c854ff1ce9debc89327833de63c
SHA1: 568febe68114cd7c42956bc7fdb345dd83e95dff
SHA256: 8865399f2b1df79b01da8715ec0d30b0e40826395d2646903b0a1f2211d62515
SHA512: f0d4e01d44fdc642c89f69f8ecd8ee5ae5dd9613232f3450683d17dff7c58a14fe5a27b14490173be6385e138977da220ed7be581b62f620fb0fdc232235025b
Homepage: https://cran.r-project.org/package=metro
Description: CRAN Package 'metro' (Washington Metropolitan Area Transit Authority API)
 The Washington Metropolitan Area Transit Authority is a government agency
 operating light rail and passenger buses in the Washington D.C. area. With a
 free developer account, access their 'Metro Transparent Data Sets API'
 <https://developer.wmata.com/> to return data frames of transit data for
 easy analysis.

Package: r-cran-metrology
Architecture: all
Version: 0.9-29-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 869
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-numderiv, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-metrology_0.9-29-2-1.ca2004.1_all.deb
Size: 815676
MD5sum: e3a220d1ba5460c0cdfaa115d4a7e8d2
SHA1: 16afe3ef055ddeea5501e13a35dfeaa1927a26c1
SHA256: 2433e84fd2d293a437ab77073d5fb6ea01efef0cd5e363054e755628cecc5639
SHA512: 2439b812559565b8e984c7dda135dd3a6cd3da0b1a1e58fcac29f11218b6d9391dab58db369d6310a5f00af5a2c6209ff71165052fb33364aaefcf2f00371206
Homepage: https://cran.r-project.org/package=metRology
Description: CRAN Package 'metRology' (Support for Metrological Applications)
 Provides classes and calculation and plotting functions for metrology
 applications, including measurement uncertainty estimation and
 inter-laboratory metrology comparison studies.

Package: r-cran-metropolis
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-metropolis_0.1.8-1.ca2004.1_all.deb
Size: 630696
MD5sum: 443869354b454a200f7c111808590655
SHA1: aa7ede1a37a55b8309e9c9c5bca6b3f0bb60e338
SHA256: b844f806582f408143eadfdbd747c2fe9070761b571c8b58dd49cb0f42922917
SHA512: e83848b9848af2c8945d64a389d4381e728470d64fed0586da390ec89f7ac56f01a2b8cc12516961b88368a331f7d8020308a4b49d1fe2350236b2f0169e6d5a
Homepage: https://cran.r-project.org/package=metropolis
Description: CRAN Package 'metropolis' (The Metropolis Algorithm)
 Learning and using the Metropolis algorithm for Bayesian fitting of a
 generalized linear model. The package vignette includes examples of
 hand-coding a logistic model using several variants of the Metropolis
 algorithm. The package also contains R functions for simulating posterior
 distributions of Bayesian generalized linear model parameters using guided,
 adaptive, guided-adaptive and random walk Metropolis algorithms. The random
 walk Metropolis algorithm was originally described in Metropolis et al
 (1953); <doi:10.1063/1.1699114>.

Package: r-cran-metscanr
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geosphere, r-cran-matlab, r-cran-leaflet, r-cran-plyr, r-cran-rcurl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-metscanr_1.2.3-1.ca2004.1_all.deb
Size: 350068
MD5sum: 5fa02e2d1e6d94aef78c6bfe4078ae05
SHA1: 8aa72cd1771098a68472b16bf49b41bb2e32b8d0
SHA256: 1ce97ce5b5a1bdfb84951c596968fc4686773db931f4755d78353bbbe63a311e
SHA512: e3a9cc17f5f393a1a5b5ab52bad543ffc88c54b845d692a1b2f83d641d2f1cf1d99110a8b9f7e295ada3fd6ae504173a0b0c4d2cd72ff4aad9431cf4de562de8
Homepage: https://cran.r-project.org/package=metScanR
Description: CRAN Package 'metScanR' (Find, Map, and Gather Environmental Data and Metadata)
 A tool for locating, mapping, and gathering environmental data and metadata,
 worldwide.  Users can search for and filter metadata from > 157,000
 environmental monitoring stations among 219 countries/territories and >20
 networks/organizations via elevation, location, active dates, elements
 measured (e.g., temperature, precipitation), country, network, and/or known
 identifier. Future updates to the package will allow the user to obtain
 datasets from stations within the database.

Package: r-cran-metsizer
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-metabolanalyze, r-cran-rfast, r-cran-shiny, r-cran-shinythemes, r-cran-vroom
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-metsizer_2.0.0-1.ca2004.1_all.deb
Size: 69344
MD5sum: 854a1a7437de54962c31a3ca3465bb35
SHA1: 6199851474ff22f22b0154527d06bd5e3ea5093f
SHA256: e3de8054691017085cdaa0cddd51ffc7d37afa893e7186839610e1ff80d88498
SHA512: 2c3425cdc5379f5a470221d2db2b2e16be66687872c9066b3ea36a7343ea54e2412a886920013e014c1901c6af0735cd7e2bb36aff5a96840db77afcf204764b
Homepage: https://cran.r-project.org/package=MetSizeR
Description: CRAN Package 'MetSizeR' (A Shiny App for Sample Size Estimation in MetabolomicExperiments)
 Provides a Shiny application to estimate the sample size required for a
 metabolomic experiment to achieve a desired statistical power.  Estimation
 is possible with or without available data from a pilot study.

Package: r-cran-metsyn
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-readr, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-metsyn_0.1.2-1.ca2004.1_all.deb
Size: 27548
MD5sum: a96407bc6f921dbadd810f97c791f401
SHA1: 3fb394e5258db644ff6f719ec7637bf3e7fdbd41
SHA256: c4dd494f1992a5989d868d3e0af5f7c6c0fe882d0d7d827532dbdfd96182f8ed
SHA512: 852b34e116cad3d74d35fac091673fd35ef851fe3d5ad4959100d346839184e48b4e3371177c2f0427b555b687458a721fe9d34e0ca28987ba633c944546ff7c
Homepage: https://cran.r-project.org/package=metsyn
Description: CRAN Package 'metsyn' (Interface with the Meteo France Synop Data API)
 Provides an interface with the Meteo France Synop data API (see
 <https://donneespubliques.meteofrance.fr/?fond=produit&id_produit=90&id_rubrique=32>
 for more information).  The Meteo France Synop data are made of
 meteorological data recorded every three hours on 62 French meteorological
 stations.

Package: r-cran-mevr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-envstats, r-cran-foreach, r-cran-doparallel, r-cran-bamlss, r-cran-mgcv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mevr_1.1.1-1.ca2004.1_all.deb
Size: 125244
MD5sum: b2a92988e18c8f6fc3d5108a2e1da0f3
SHA1: d1548cb634df5634c6ac982c10cbbf023f65faa9
SHA256: 8b5c50467e71f762325515dd10fa8dc95caa8f3d4b513380ca462f65cf14bb2f
SHA512: 5e890a4a85e8cc8635c1da8d71f02b9e36f39a4cbfb05be8c202da36ff4b508a5b22e65a64f6fef81f63a9064be805963c6cf9758b23287946542a279abd3cb9
Homepage: https://cran.r-project.org/package=mevr
Description: CRAN Package 'mevr' (Fitting the Metastatistical Extreme Value Distribution MEVD)
 Extreme value analysis with the metastatistical extreme value distribution
 MEVD (Marani and Ignaccolo, 2015, <doi:10.1016/j.advwatres.2015.03.001>) and
 some of its variants. In particular, analysis can be performed with the
 simplified metastatistical extreme value distribution SMEV (Marra et al.,
 2019, <doi:10.1016/j.advwatres.2019.04.002>) and the temporal
 metastatistical extreme value distribution TMEV (Falkensteiner et al., 2023,
 <doi:10.1016/j.wace.2023.100601>). Parameters can be estimated with
 probability weighted moments, maximum likelihood and least squares. The data
 can also be left-censored prior to a fit. Density, distribution function,
 quantile function and random generation for the MEVD, SMEV and TMEV are
 included. In addition, functions for the calculation of return levels
 including confidence intervals are provided. For a description of use cases
 please see the provided references.

Package: r-cran-mexbrewer
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4036
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mexbrewer_0.0.2-1.ca2004.1_all.deb
Size: 3983548
MD5sum: 584f70843fc44592b586bac27fdb05c6
SHA1: e58aa6222b1fb3927a6ac0413db9c887254c65e9
SHA256: 3a3a9687ae4ca58bac55eccfc0b6e08742f3d442c5fea9cee5936ac7758d7b7c
SHA512: 7ae32b14a3b41cb8c39647b132d885616c3bb7fa4887858c8c38fde2d339d8f00362a28f17fe5b66bb2b8003cf7fcaa525cba58220607bced77363c31a09ecb6
Homepage: https://cran.r-project.org/package=MexBrewer
Description: CRAN Package 'MexBrewer' (Color Palettes Inspired by Works of Mexican Painters andMuralists)
 Color palettes inspired by the works of Mexican painters and muralists. The
 package includes functions that return vectors of colors and also functions
 to use color and fill scales in 'ggplot2' visualizations.

Package: r-cran-mexicolors
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mexicolors_0.2.0-1.ca2004.1_all.deb
Size: 14844
MD5sum: b55109a8d18d3903fabf17771cc8b13d
SHA1: 0bd7c72e5ab9b7746d74ef6989aa82e52ac822a0
SHA256: 4909a9c120f6382a6280dcff9f0c64cfbecd7c622329f2944dc6af4a5a847efe
SHA512: d5c4fed69ae9e0d230254f353f83ba1ef30523a51037d1df20ad01b1e15cfd76581d9a6a9ea68b91ab154f32342d2b8c171fbe15d534c2f3b02f73d57a75a882
Homepage: https://cran.r-project.org/package=mexicolors
Description: CRAN Package 'mexicolors' (Mexican Politics-Inspired Color Palette Generator)
 A color palette generator inspired by Mexican politics, with colors ranging
 from red on the left to gray in the middle and green on the right. Palette
 options range from only a few colors to several colors, but with discrete
 and continuous options to offer greatest flexibility to the user.  This
 package allows for a range of applications, from mapping brief discrete
 scales (e.g., four colors for Morena, PRI, and PAN) to continuous
 interpolated arrays including dozens of shades graded from red to green.

Package: r-cran-mexplorer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-bioc-qusage
Filename: pool/dists/focal/main/r-cran-mexplorer_1.0.0-1.ca2004.1_all.deb
Size: 59212
MD5sum: cce1dea6a09f8ac96199e8d6a3e9fe02
SHA1: 4395cd6277b8bbdbaa05838ef83dbeebcd9b57a0
SHA256: 9dd03a935881a097864a990d21b25b0aac0573645623f6463304bf68957f43b5
SHA512: 67d0e6cbd9c24afbe684976b905ca8224049bc3d66f4652786607fd9ad6a57bdf22d65cc98f41d6553915f91c87ebd3f2058d49b839d1981b0997f8e2e9de0f9
Homepage: https://cran.r-project.org/package=mExplorer
Description: CRAN Package 'mExplorer' (Identifying Master Gene Regulators from Gene Expression andDNA-Binding Data)
 The method 'm:Explorer' associates a given list of target genes (e.g. those
 involved in a biological process) to gene regulators such as transcription
 factors. Transcription factors that bind DNA near significantly many target
 genes or correlate with target genes in transcriptional (microarray or
 RNAseq data) are selected. Selection of candidate master regulators is
 carried out using multinomial regression models, likelihood ratio tests and
 multiple testing correction. Reference: m:Explorer: multinomial regression
 models reveal positive and negative regulators of longevity in yeast
 quiescence. Juri Reimand, Anu Aun, Jaak Vilo, Juan M Vaquerizas, Juhan
 Sedman and Nicholas M Luscombe. Genome Biology (2012) 13:R55
 <doi:10.1186/gb-2012-13-6-r55>.

Package: r-cran-mf.beta4
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-devtools, r-cran-ggplot2, r-cran-dplyr, r-cran-ggpubr, r-cran-purrr, r-cran-patchwork, r-cran-tidyr, r-cran-lme4, r-cran-lmertest, r-cran-tidyverse, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mf.beta4_1.1.1-1.ca2004.1_all.deb
Size: 1192248
MD5sum: 63cc4baf11484f337e96a26171c370dd
SHA1: 893af0b292393608cfae4d09f55eec03dfcb640f
SHA256: f2f046f3b91930eaf459037c96b30b876789b871c76dcf15115c2889bba32e44
SHA512: 8f4e048248c34f109c6c2bdd498fa3e9e948d10fc3a0c7b6525b537e09a62a042052e2886481e835f3a115b6816b53169ace1d8f35885db918e376a9bae56c18
Homepage: https://cran.r-project.org/package=MF.beta4
Description: CRAN Package 'MF.beta4' (Measuring Ecosystem Multi-Functionality and Its Decomposition)
 Provide simple functions to (i) compute a class of multi-functionality
 measures for a single ecosystem for given function weights, (ii) decompose
 gamma multi-functionality for pairs of ecosystems and K ecosystems (K can be
 greater than 2) into a within-ecosystem component (alpha
 multi-functionality) and an among-ecosystem component (beta
 multi-functionality).  In each case, the correlation between functions can
 be corrected for.  Based on biodiversity and ecosystem function data, this
 software also facilitates graphics for assessing biodiversity-ecosystem
 functioning relationships across scales.

Package: r-cran-mf
Architecture: all
Version: 4.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mf_4.3.2-1.ca2004.1_all.deb
Size: 256996
MD5sum: f14ba6a396d6b22b5ab472f46abbbc5d
SHA1: ba347d311a956eba64e2632c2307101ea8a06e62
SHA256: 1f940af94892f2a721db3327f4463f485a72db97c14de776bd8c908553538a03
SHA512: b61f5684083a15deab4f5d696bed5391b7f4b8244d36f2d55422a6c5ae826d6299c985add663cbc7cbe23ee615034996cbed50d964feb98c0337e980bff3f6a6
Homepage: https://cran.r-project.org/package=MF
Description: CRAN Package 'MF' (Mitigated Fraction)
 Calculate MF (mitigated fraction) with clustering and bootstrap options. See
 http://goo.gl/pcXYVr for definition of MF.

Package: r-cran-mfaces
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-mgcv, r-cran-face
Filename: pool/dists/focal/main/r-cran-mfaces_0.1-4-1.ca2004.1_all.deb
Size: 106592
MD5sum: f3647aff37096bb4cb1da6d6b4dcc41e
SHA1: b90173ad512ea807186a6baaf9fe801ba899b1fa
SHA256: a1341122e92d57391af297a770e3b05d9812a1cbafa0a897ce2f921beb0fa097
SHA512: 3c7782d1e2bb7efc7f0634d1b9510ecdfa6f8b95a0cd650ac0d61261652d6cb0247c6f027624670d0e0cc28fde8ada888ba24a0403c1c02f23631fb314e3ca63
Homepage: https://cran.r-project.org/package=mfaces
Description: CRAN Package 'mfaces' (Fast Covariance Estimation for Multivariate Sparse FunctionalData)
 Multivariate functional principal component analysis via fast covariance
 estimation for multivariate sparse functional data or longitudinal data
 proposed by Li, Xiao, and Luo (2020) <doi: 10.1002/sta4.245>.

Package: r-cran-mfag
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mfag_2.2-1.ca2004.1_all.deb
Size: 80744
MD5sum: ac6ccf9569621033beddf75221604c1b
SHA1: 457603e0d93b8e470309b1f5dbef284cdbd4549f
SHA256: beab21dcb921df22b67cee47071a499d3777278f7f69409a7a84a67648f0dadf
SHA512: 6dfc44e1970fb74762f9ab687cf89c99f5da7916a1bd137fef2b85347d11d5ccf195fc38403cc8848ea67073d1d9240eb68fab6944a5c47d482dfee37698eab0
Homepage: https://cran.r-project.org/package=MFAg
Description: CRAN Package 'MFAg' (Multiple Factor Analysis (MFA))
 Performs Multiple Factor Analysis method for quantitative, categorical,
 frequency and mixed data, in addition to generating a lot of graphics, also
 has other useful functions.

Package: r-cran-mfd
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2887
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ade4, r-cran-ape, r-cran-betapart, r-cran-cluster, r-cran-dendextend, r-cran-factominer, r-cran-gawdis, r-cran-geometry, r-cran-ggplot2, r-cran-ggrepel, r-cran-hmisc, r-cran-patchwork, r-cran-reshape2, r-cran-rstatix, r-cran-vegan
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mfd_1.0.7-1.ca2004.1_all.deb
Size: 1867900
MD5sum: da5d2ffdea667e4c49de2494b4ef1f9b
SHA1: 90d62cb05248ad620a37d70945800f09a75bedf4
SHA256: f9942deeb01f555834b414411632993bf0c3e4e856093ab2aaac8d63650f311c
SHA512: 0fd3b7e583d4114859246484a34e060bbb51cb95f7a867704292b43e363f82e434f7897f7f946807ed28e1e4b01402443a95c67a52d63cec59bd353603c0d00e
Homepage: https://cran.r-project.org/package=mFD
Description: CRAN Package 'mFD' (Compute and Illustrate the Multiple Facets of FunctionalDiversity)
 Computing functional traits-based distances between pairs of species for
 species gathered in assemblages allowing to build several functional spaces.
 The package allows to compute functional diversity indices assessing the
 distribution of species (and of their dominance) in a given functional space
 for each assemblage and the overlap between assemblages in a given
 functional space, see: Chao et al. (2018) <doi:10.1002/ecm.1343>, Maire et
 al. (2015) <doi:10.1111/geb.12299>, Mouillot et al. (2013)
 <doi:10.1016/j.tree.2012.10.004>, Mouillot et al.  (2014)
 <doi:10.1073/pnas.1317625111>, Ricotta and Szeidl (2009)
 <doi:10.1016/j.tpb.2009.10.001>. Graphical outputs are included.  Visit the
 'mFD' website for more information, documentation and examples.

Package: r-cran-mfdb
Architecture: all
Version: 7.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3801
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-logging, r-cran-dbi, r-cran-duckdb, r-cran-getpass, r-cran-rlang, r-cran-rpostgres, r-cran-rsqlite
Suggests: r-cran-dplyr, r-cran-dbplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-unittest
Filename: pool/dists/focal/main/r-cran-mfdb_7.3-1-1.ca2004.1_all.deb
Size: 605464
MD5sum: e640e0547586a4af634d6bab9539b2f8
SHA1: 941bd722ce7c29d7035a1f800b200ce89885ff57
SHA256: 57270db12c1193371cf7e27ec4026bc0e80db9c9b246da145508d9911f76aec1
SHA512: 8b08378540d422c92721bb442a495bb292781bbd5ef437f9525169f2127d2e52e14e8c818c4e938f4ee89badcef4842c27453de0fa9543669335f22c30cf0f98
Homepage: https://cran.r-project.org/package=mfdb
Description: CRAN Package 'mfdb' (MareFrame DB Querying Library)
 Creates and manages a PostgreSQL database suitable for storing fisheries
 data and aggregating ready for use within a Gadget
 <https://gadget-framework.github.io/gadget2/> model.  See
 <https://mareframe.github.io/mfdb/> for more information.

Package: r-cran-mfdfa
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numbers
Filename: pool/dists/focal/main/r-cran-mfdfa_1.1-1.ca2004.1_all.deb
Size: 38876
MD5sum: 5d4a04a3a260f07f2f4a8dac16864a15
SHA1: 67395aaafdeef3590a852bd58f79e774e378860e
SHA256: 452dcef0dec4302d12b06c615d4c6964fb6e2c76a55636896cad7af9afc4aa69
SHA512: b6d63c78f7f79f17622608cca847bd6809066783d1fefa2a1ad504e9c01ec8a6c2265b48cbb5bdb782035200f3c4f64abefcf59ff0efe5edf011ebc5b983d544
Homepage: https://cran.r-project.org/package=MFDFA
Description: CRAN Package 'MFDFA' (MultiFractal Detrended Fluctuation Analysis)
 Contains the MultiFractal Detrended Fluctuation Analysis (MFDFA),
 MultiFractal Detrended Cross-Correlation Analysis (MFXDFA), and the
 Multiscale Multifractal Analysis (MMA). The MFDFA() function proposed in
 this package was used in Laib et al. (<doi:10.1016/j.chaos.2018.02.024> and
 <doi:10.1063/1.5022737>).  See references for more information. Interested
 users can find a parallel version of the MFDFA() function on GitHub.

Package: r-cran-mfdp
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mfdp_0.2.1-1.ca2004.1_all.deb
Size: 28440
MD5sum: 5000419dfca117ad8b0cb37d91d97cd4
SHA1: a90eedacbf62bd81f75ff013d152711c9da0b3f4
SHA256: fbd41415b33f584433303b1902fce07dba6b8346a75a20f8a69b25361df0e8f7
SHA512: 2cff7f036224c1399d66b9b70c850fa8b3434341b24059fcd2cbc7e07bc508153bed3add4af1aa790a2817ef02f356cdec3274e55b331913a6502b125c556f8a
Homepage: https://cran.r-project.org/package=mFDP
Description: CRAN Package 'mFDP' (Control of the Median of the FDP)
 Methods for controlling the median of the false discovery proportion (mFDP).
 Depending on the method, simultaneous or non-simultaneous inference is
 provided.  The methods take a vector of p-values or test statistics as
 input.

Package: r-cran-mfe
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-clustercrit, r-cran-ecol, r-cran-e1071, r-cran-infotheo, r-cran-mass, r-cran-rpart, r-cran-rrcov
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mfe_0.1.5-1.ca2004.1_all.deb
Size: 191924
MD5sum: b364cb16888b0f2d200e79708be91cb5
SHA1: 7de6dc2b54b31cb43835d38a3f58701ced4a6b73
SHA256: eed1f065cf633ac51239a61774d70573ed0fc5b8e66401991c67f7e86d8c698a
SHA512: cba0328de73549e39b0b72f86f0de70b06fdaf8935b5b108c8a2b33e78757d74928b591f7a57bbcc05c051047c414078b5e5d1ace681572317f7ea0888aece66
Homepage: https://cran.r-project.org/package=mfe
Description: CRAN Package 'mfe' (Meta-Feature Extractor)
 Extracts meta-features from datasets to support the design of recommendation
 systems based on Meta-Learning. The meta-features, also called
 characterization measures, are able to characterize the complexity of
 datasets and to provide estimates of algorithm performance. The package
 contains not only the standard characterization measures, but also more
 recent characterization measures. By making available a large set of
 meta-feature extraction functions, tasks like comprehensive data
 characterization, deep data exploration and large number of Meta-Learning
 based data analysis can be performed. These concepts are described in the
 paper: Rivolli A., Garcia L., Soares c., Vanschoren J. and Carvalho A.
 (2018) <arXiv:1808.10406>.

Package: r-cran-mfilter
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tseries, r-cran-pastecs, r-cran-locfit, r-cran-tserieschaos, r-cran-tsdyn, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-mfilter_0.1-5-1.ca2004.1_all.deb
Size: 278712
MD5sum: a9bf9a6d02edec5e71bfc7f9796ad8c9
SHA1: 6bac4ac72bad54d4a3f88b0b70bbf82ead5bb2ef
SHA256: 6709c541466f07480322160fd694e6cbafa7d70a64d96a5d4972eb46869e6a9e
SHA512: 146d8b7ad58dc8a0aee7f8a0b37ac74f628cfd7e6343a6352855cecf4f3690476b5358110ad93c91334e546fd379f8f38a0062193e0de0b1bf2327f9292c7879
Homepage: https://cran.r-project.org/package=mFilter
Description: CRAN Package 'mFilter' (Miscellaneous Time Series Filters)
 The mFilter package implements several time series filters useful for
 smoothing and extracting trend and cyclical components of a time series. The
 routines are commonly used in economics and finance, however they should
 also be interest to other areas.  Currently, Christiano-Fitzgerald,
 Baxter-King, Hodrick-Prescott, Butterworth, and trigonometric regression
 filters are included in the package.

Package: r-cran-mflica
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 719
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mflica_0.1.7-1.ca2004.1_all.deb
Size: 608084
MD5sum: 712fd7f9a9608e9816dfeb9fad90fc40
SHA1: 51b7410fb9b8d8a81c1ffcd3bd1d1921283269df
SHA256: e2ce99c057f39ae98c68e06a15f0d1b0795e9d7e98c406ecd85c831850415c38
SHA512: aeec29e8f0ef005f6e24df8e0f7fe3f124e34530aa615f69f591c530b0e60741b693c22ee3bb59630c59a360af91b29f3f5792dcd874f6d289483685d1c9c7e9
Homepage: https://cran.r-project.org/package=mFLICA
Description: CRAN Package 'mFLICA' (Leadership-Inference Framework for Multivariate Time Series)
 A leadership-inference framework for multivariate time series. The framework
 for multiple-faction-leadership inference from coordinated activities or
 'mFLICA' uses a notion of a leader as an individual who initiates collective
 patterns that everyone in a group follows. Given a set of time series of
 individual activities, our goal is to identify periods of coordinated
 activity, find factions of coordination if more than one exist, as well as
 identify leaders of each faction. For each time step, the framework infers
 following relations between individual time series, then identifying a
 leader of each faction whom many individuals follow but it follows no one. A
 faction is defined as a group of individuals that everyone follows the same
 leader. 'mFLICA' reports following relations, leaders of factions, and
 members of each faction for each time step. Please see Chainarong
 Amornbunchornvej and Tanya Berger-Wolf (2018)
 <doi:10.1137/1.9781611975321.62> for methodology and Chainarong
 Amornbunchornvej (2021) <doi:10.1016/j.softx.2021.100781> for software when
 referring to this package in publications.

Package: r-cran-mfo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-minpack.lm, r-cran-openxlsx, r-cran-readxl, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mfo_0.1.0-1.ca2004.1_all.deb
Size: 144900
MD5sum: 609355b560fa9b8d90d1e948e6cdb60c
SHA1: 3d2e13eaf1adf7ccdd1931d2301f5aeeab072710
SHA256: cf1195def6e7c2b4557cee1948e7776f329f524c0dd79c8331ea07f8ea11570f
SHA512: 6db032c7731341da6da3bdeb5877d2dd9fce3b8d912111fa16f087a4e693992afe8327e79bb53b5669f1ec69ca5af719dd5155a241d28b06dc259046e57593ed
Homepage: https://cran.r-project.org/package=MFO
Description: CRAN Package 'MFO' (Maximal Fat Oxidation and Kinetics Calculation)
 Calculate the maximal fat oxidation, the exercise intensity that elicits the
 maximal fat oxidation and the SIN model to represent the fat oxidation
 kinetics.  Three variables can be obtained from the SIN model: dilatation,
 symmetry and translation.  Examples of these methods can be found in Montes
 de Oca et al (2021) <doi:10.1080/17461391.2020.1788650> and Chenevière et
 al. (2009) <doi:10.1249/MSS.0b013e31819e2f91>.

Package: r-cran-mfp2
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1509
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-survival
Suggests: r-cran-knitr, r-cran-testthat, r-cran-xfun, r-cran-rmarkdown, r-cran-formatr, r-cran-patchwork, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-mfp2_1.0.1-1.ca2004.1_all.deb
Size: 763636
MD5sum: cb253ad1694a31ce04f0eef5efa4e0b5
SHA1: 0fbae8c4a4aec43c347aaa05696d6cc625baffad
SHA256: 2d3526eee5f6808a7fc02096fada8632bfb726a418f454c338955b68df64a3c9
SHA512: 76f91bb447aa1b9819ddc5241682ae52ec75557955622193fba2b9ed56c6c2a9d3105e2e1c9a0f2e0c95a33deabdbe915bd28497811ef5a4c421df1d5aae652e
Homepage: https://cran.r-project.org/package=mfp2
Description: CRAN Package 'mfp2' (Multivariable Fractional Polynomial Models with Extensions)
 Multivariable fractional polynomial algorithm simultaneously selects
 variables and functional forms in both generalized linear models and Cox
 proportional hazard models. Key references are Royston and Altman (1994)
 <doi:10.2307/2986270> and Royston and Sauerbrei (2008,
 ISBN:978-0-470-02842-1). In addition, it can model a sigmoid relationship
 between variable x and an outcome variable y using the approximate
 cumulative distribution transformation proposed by Royston (2014)
 <doi:10.1177/1536867X1401400206>. This feature distinguishes it from a
 standard fractional polynomial function, which lacks the ability to achieve
 such modeling.

Package: r-cran-mfp
Architecture: all
Version: 1.5.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mfp_1.5.4.1-1.ca2004.1_all.deb
Size: 161440
MD5sum: 5e26d0eb59ecb0f97b65d0d455f33e4d
SHA1: 1420c776debefbc167fd360441298f105c32b06f
SHA256: f301f0e577aef3eb16a8728d80c7110264765c5eb0fae58ab1961a41fc1174ba
SHA512: 1e61e3bd95020cf74860c2ff67e22f052c4fd03a91042b15071c3ce0a48184f9dc629136461c5db69ab51a0d895d864128e7bb2def3f38a1caaca28c8a1126e7
Homepage: https://cran.r-project.org/package=mfp
Description: CRAN Package 'mfp' (Multivariable Fractional Polynomials)
 Fractional polynomials are used to represent curvature in regression models.
 A key reference is Royston and Altman, 1994.

Package: r-cran-mfpp
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma, r-cran-nsga2r, r-cran-igraph, r-cran-genalg, r-cran-ggplot2, r-cran-reshape2, r-cran-rfast
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-mfpp_0.0.8-1.ca2004.1_all.deb
Size: 470872
MD5sum: e04dfe5fea08d450d14067acadfb790f
SHA1: b994027336ae9479949ef116fd8d2e765f642976
SHA256: a2035d473fa42fe8e65320cdb9a7bb3f4add0b1ea1d8730f4a1cf253852b74c1
SHA512: 05423dbe20d61c22aed74e7ee8078ed224d2950cc7b5a571a8ba9ba2c1c1c954a81a9561102c8c4e2bb7c318afdfeaea35a83af0ca33bf1968097a17b3525076
Homepage: https://cran.r-project.org/package=mfpp
Description: CRAN Package 'mfpp' ('Matrix-Based Flexible Project Planning')
 Matrix-Based Flexible Project Planning. This package models, plans, and
 schedules flexible, such as agile, extreme, and hybrid project plans. The
 package contains project planning, scheduling, and risk assessment
 functions. Kosztyan (2022) <doi:10.1016/j.softx.2022.100973>.

Package: r-cran-mfsis
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-ball, r-cran-reticulate, r-cran-crayon, r-cran-cli, r-cran-dr, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-mfsis_0.3.0-1.ca2004.1_all.deb
Size: 142888
MD5sum: 7e5756690d9a391c258e8c1e097dfe74
SHA1: f676c8076562015166b6a037f4ae603b5b516140
SHA256: 2826411685d35fad21972588f2ca85c985061e77a964efeb1e2e11e437b775c7
SHA512: 29aaece57eaf7cc8389de1064dbfa49406fc47fb5316a6087cf5a1fc6a5cf3ea4320482bb2b1e8ec90c4375bafd406dcbdd533c6430dc99e680f414c79f3a76c
Homepage: https://cran.r-project.org/package=MFSIS
Description: CRAN Package 'MFSIS' (Model-Free Sure Independent Screening Procedures)
 An implementation of popular screening methods that are commonly employed in
 ultra-high and high dimensional data.  Through this publicly available
 package, we provide a unified framework to carry out model-free screening
 procedures including SIS (Fan and Lv (2008)
 <doi:10.1111/j.1467-9868.2008.00674.x>), SIRS (Zhu et al.
 (2011)<doi:10.1198/jasa.2011.tm10563>), DC-SIS (Li et al. (2012)
 <doi:10.1080/01621459.2012.695654>), MDC-SIS (Shao and Zhang (2014)
 <doi:10.1080/01621459.2014.887012>), Bcor-SIS (Pan et al. (2019)
 <doi:10.1080/01621459.2018.1462709>), PC-Screen (Liu et al. (2020)
 <doi:10.1080/01621459.2020.1783274>), WLS (Zhong et al.(2021)
 <doi:10.1080/01621459.2021.1918554>), Kfilter (Mai and Zou (2015)
 <doi:10.1214/14-AOS1303>), MVSIS (Cui et al. (2015)
 <doi:10.1080/01621459.2014.920256>), PSIS (Pan et al. (2016)
 <doi:10.1080/01621459.2014.998760>), CAS (Xie et al. (2020)
 <doi:10.1080/01621459.2019.1573734>), CI-SIS (Cheng and Wang. (2023)
 <doi:10.1016/j.cmpb.2022.107269>) and CSIS (Cheng et al. (2023)
 <doi:10.1007/s00180-023-01399-5>).

Package: r-cran-mft
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mft_2.0-1.ca2004.1_all.deb
Size: 178016
MD5sum: 1baab2aca5cb2e37b5ba2f5f539d937d
SHA1: 4d7e06737d51934c00e28e7b787ef8360c410f4d
SHA256: 342444289794d3398f33089a545a527a4283165b2211aa65001d41945dd048bc
SHA512: 06f391cb8595b696e40707ecf6a9a8459e16b6891aab76232d8348bb40ef7ff0729da97649d4fc0363745bda5c42047d8bafcc5f21554b0e5f5aaa0b925223b2
Homepage: https://cran.r-project.org/package=MFT
Description: CRAN Package 'MFT' (The Multiple Filter Test for Change Point Detection)
 Provides statistical tests and algorithms for the detection of change points
 in time series and point processes - particularly for changes in the mean in
 time series and for changes in the rate and in the variance in point
 processes. References - Michael Messer, Marietta Kirchner, Julia Schiemann,
 Jochen Roeper, Ralph Neininger and Gaby Schneider (2014), A multiple filter
 test for the detection of rate changes in renewal processes with varying
 variance <doi:10.1214/14-AOAS782>. Stefan Albert, Michael Messer, Julia
 Schiemann, Jochen Roeper, Gaby Schneider (2017), Multi-scale detection of
 variance changes in renewal processes in the presence of rate change points
 <doi:10.1111/jtsa.12254>. Michael Messer, Kaue M. Costa, Jochen Roeper and
 Gaby Schneider (2017), Multi-scale detection of rate changes in spike trains
 with weak dependencies <doi:10.1007/s10827-016-0635-3>. Michael Messer,
 Stefan Albert and Gaby Schneider (2018), The multiple filter test for change
 point detection in time series <doi:10.1007/s00184-018-0672-1>. Michael
 Messer, Hendrik Backhaus, Albrecht Stroh and Gaby Schneider (2019+) Peak
 detection in time series.

Package: r-cran-mfusampler
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ars, r-cran-coda, r-cran-dlm
Suggests: r-cran-sns, r-cran-rcpparmadillo, r-cran-inline, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mfusampler_1.1.0-1.ca2004.1_all.deb
Size: 274704
MD5sum: 78a0589b4ae3e4150dd3b3690d6f224c
SHA1: 9ade9818cb308f23fd32e73928063ddb2d01a3d2
SHA256: 9ba05bd03582f428cf4a90f92d9d522a0b621f26589f41b2f2037460605e2d37
SHA512: 31338fa61634753ccdce8f81b8f66afb3c9f666fe59b70e2273c28f0918fdb67819c7611d8a62fc0fb54a3489d1bf23d09fb76c3a5235c68bc8bc4c7825cf33c
Homepage: https://cran.r-project.org/package=MfUSampler
Description: CRAN Package 'MfUSampler' (Multivariate-from-Univariate (MfU) MCMC Sampler)
 Convenience functions for multivariate MCMC using univariate samplers
 including: slice sampler with stepout and shrinkage (Neal (2003)
 <DOI:10.1214/aos/1056562461>), adaptive rejection sampler (Gilks and Wild
 (1992) <DOI:10.2307/2347565>), adaptive rejection Metropolis (Gilks et al
 (1995) <DOI:10.2307/2986138>), and univariate Metropolis with Gaussian
 proposal.

Package: r-cran-mfx
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sandwich, r-cran-lmtest, r-cran-mass, r-cran-betareg
Filename: pool/dists/focal/main/r-cran-mfx_1.2-4-1.ca2004.1_all.deb
Size: 259020
MD5sum: ce20deede01d7c9d88d30998068017cf
SHA1: c6127fe0cbd1743f00df429de7a119088802e10b
SHA256: dc88800d10b5850a877db64491076fc58ee373eab62c795d079ea34696daa165
SHA512: 4c08e3bb0db6e6aef6ada23d623c8b98bb90fc8bd5ca8b021f7c640eaafd06d80dca2f921ac2e5989b714987baf89c42b380426eac795ae60e5b0be75fda00dd
Homepage: https://cran.r-project.org/package=mfx
Description: CRAN Package 'mfx' (Marginal Effects, Odds Ratios and Incidence Rate Ratios for GLMs)
 Estimates probit, logit, Poisson, negative binomial, and beta regression
 models, returning their marginal effects, odds ratios, or incidence rate
 ratios as an output.  Greene (2008, pp. 780-7) provides a textbook
 introduction to this topic.

Package: r-cran-mg1stationaryprobability
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-memoise
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mg1stationaryprobability_0.1.2-1.ca2004.1_all.deb
Size: 116364
MD5sum: 46810e3d13728e5e8e237e7553e07e41
SHA1: 00b804425284a88e104a6547cd0983a5625783c3
SHA256: 68a4eed3d1b77b0414be0c1443402f79ab8b09d5d37ba2adcade0c8cbc4be148
SHA512: 27fca0770d70aa3be91a1c8e84733099ba04cb8bd72f93770cf00bb0d54ef0b679317631ee417a2add046f13b47c4d1c2bf75ba7207f6ffc40cb714e1b840a60
Homepage: https://cran.r-project.org/package=MG1StationaryProbability
Description: CRAN Package 'MG1StationaryProbability' (Computes Stationary Distribution for M/G/1 Queuing System)
 The idea of a computational algorithm described in the article by Andronov
 M. et al. (2022)
 <https://link.springer.com/chapter/10.1007/978-3-030-92507-9_13>.  The
 purpose of this package is to automate computations for a Markov-Modulated
 M/G/1 queuing system with alternating Poisson flow of arrivals. It offers a
 set of functions to calculate various mean indices of the system, including
 mean flow intensity, mean service busy and idle times, and the system's
 stationary probability.

Package: r-cran-mgbt
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1800
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dataretrieval, r-cran-lmomco
Filename: pool/dists/focal/main/r-cran-mgbt_1.0.7-1.ca2004.1_all.deb
Size: 1287644
MD5sum: fe8d44ce9cedcea40a24bf3cf561b8ea
SHA1: 249ba7a79d9e5e5c02d6236523dc23bf102462a2
SHA256: fbbc949dde78249741cee89ca1b2076c89be4923dd6e0bfda483d8e5cd270f13
SHA512: 23a09d7227fc5ced4bb143cac82747f37f1faededaafbdcb9d83b3da952ef7cf88cd36665bd733a11505a1b8459744ad7603efa43e319d130edb02458c1977c7
Homepage: https://cran.r-project.org/package=MGBT
Description: CRAN Package 'MGBT' (Multiple Grubbs-Beck Low-Outlier Test)
 Compute the multiple Grubbs-Beck low-outlier test on positively distributed
 data and utilities for noninterpretive U.S. Geological Survey annual
 peak-streamflow data processing discussed in Cohn et al. (2013)
 <doi:10.1002/wrcr.20392> and England et al. (2017) <doi:10.3133/tm4B5>.

Package: r-cran-mgcviz
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4865
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-qgam, r-cran-ggplot2, r-cran-gamm4, r-cran-matrixstats, r-cran-viridis, r-cran-ggally, r-cran-kernsmooth, r-cran-gridextra, r-cran-plyr, r-cran-shiny, r-cran-miniui
Suggests: r-cran-rgl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-mgcviz_0.2.0-1.ca2004.1_all.deb
Size: 2927296
MD5sum: 162bd3391e2717eb4f5ca839b14c3ca4
SHA1: 3affda96b2c1166acd9d6bf5a144cae5f63a288e
SHA256: 7b82b00e20a26faa82b7ce97d83131e92b18c7a60293e9298bbaed10da980141
SHA512: 66aa70226f99d20d253d2f6d89ca64bb46901b3e988fe4ccda636e39100b4f74d467a8a29c0dae378c5e83b4ebd58160bebff2cdeb2a3a39b214d253c55f4c64
Homepage: https://cran.r-project.org/package=mgcViz
Description: CRAN Package 'mgcViz' (Visualisations for Generalized Additive Models)
 Extension of the 'mgcv' package, providing visual tools for Generalized
 Additive Models that exploit the additive structure of such models, scale to
 large data sets and can be used in conjunction with a wide range of response
 distributions. The focus is providing visual methods for better
 understanding the model output and for aiding model checking and development
 beyond simple exponential family regression. The graphical framework is
 based on the layering system provided by 'ggplot2'.

Package: r-cran-mgdrive2
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3843
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-desolve, r-cran-statmod
Suggests: r-cran-mgdrive, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mgdrive2_2.1.0-1.ca2004.1_all.deb
Size: 2485836
MD5sum: d443ac783cd46b3deca76df5619a6d76
SHA1: c78f851dbfafc7e2f607a2c72aa10591ef82729e
SHA256: 725029f5ab82e1d6e943634e42326137482ccb17259bb8ae5440ddd7e0afc222
SHA512: 3caa660909877072c0df0081f9af3735f79984e5e647c31c6a3633045c6dd16909d82f66d0c766aec4002521138fdbfeaff78424c5f3b017a661b3088abb639f
Homepage: https://cran.r-project.org/package=MGDrivE2
Description: CRAN Package 'MGDrivE2' (Mosquito Gene Drive Explorer 2)
 A simulation modeling framework which significantly extends capabilities
 from the 'MGDrivE' simulation package via a new mathematical and
 computational framework based on stochastic Petri nets.  For more
 information about 'MGDrivE', see our publication: Sánchez et al. (2019)
 <doi:10.1111/2041-210X.13318> Some of the notable capabilities of 'MGDrivE2'
 include: incorporation of human populations, epidemiological dynamics,
 time-varying parameters, and a continuous-time simulation framework with
 various sampling algorithms for both deterministic and stochastic
 interpretations.  'MGDrivE2' relies on the genetic inheritance structures
 provided in package 'MGDrivE', so we suggest installing that package
 initially.

Package: r-cran-mggd
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rgl, r-cran-lifecycle, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mggd_1.3.3-1.ca2004.1_all.deb
Size: 75932
MD5sum: 320f4dc3542a7e5ad927742663be3fbc
SHA1: 175aa1a93d9f3eac5f9f778137bfaf44da9e96b5
SHA256: e4191834d86b27d5a32ca67e1c4008f502b39668327c661a250068358295c2d5
SHA512: ea5e24dfa92f5023adee4aaf1332726cf0cf0e9808084ed2f92b719e235dc261e6c4d513d44bac97e0174852f2465fc3448006fbc84ccdc39304298c4b47765b
Homepage: https://cran.r-project.org/package=mggd
Description: CRAN Package 'mggd' (Multivariate Generalised Gaussian Distribution; Kullback-LeiblerDivergence)
 Distance between multivariate generalised Gaussian distributions, as
 presented by N. Bouhlel and A. Dziri (2019) <doi:10.1109/LSP.2019.2915000>.
 Manipulation of multivariate generalised Gaussian distributions (methods
 presented by Gomez, Gomez-Villegas and Marin (1998)
 <doi:10.1080/03610929808832115> and Pascal, Bombrun, Tourneret and
 Berthoumieu (2013) <doi:10.1109/TSP.2013.2282909>).

Package: r-cran-mgi.report.reader
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-httr2, r-cran-memoise, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vroom
Suggests: r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mgi.report.reader_0.1.3-1.ca2004.1_all.deb
Size: 156540
MD5sum: dda5c9853ab687c1d9214bbed3a7ace1
SHA1: 8b997f434462fc124da9a514ccbaa2a6a98b6753
SHA256: 994a5cbc39fe31bbe649cf7ae6d1de6121ded8d8f6b15446a653bab2790a22cd
SHA512: f6bc8e7e66d69ba424a9426efb9b7762ba0930e8f8ea3cf03158e744a1b1799a30fe7264c123125e429ec57e048e5881f7665998bbea2386612b659d8b232901
Homepage: https://cran.r-project.org/package=mgi.report.reader
Description: CRAN Package 'mgi.report.reader' (Read Mouse Genome Informatics Reports)
 Provides readers for easy and consistent importing of Mouse Genome
 Informatics (MGI) report files:
 <https://www.informatics.jax.org/downloads/reports/index.html>. These data
 are provided by Baldarelli RM, Smith CL, Ringwald M, Richardson JE, Bult CJ,
 Mouse Genome Informatics Group (2024) <doi:10.1093/genetics/iyae031>.

Package: r-cran-mglasso
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-corpcor, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-matrix, r-cran-r.utils, r-cran-reticulate, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mglasso_0.1.2-1.ca2004.1_all.deb
Size: 67836
MD5sum: 51a156e369fb6f3df493d16e8effc76f
SHA1: a931bdb2ff64c6d98aad08529f970ad49d790535
SHA256: 3f1382328f742f3c58a57b63cb717047e2a142f2c89c6735a6e132c3f0f0d45a
SHA512: 1ca978e436a033fa67740f1c9ecd289988606ec9727579f495eb4ea039bf45a488434cd80c2709da21be74055273e9d6558bfd481c8b15e17450de08dd4312ff
Homepage: https://cran.r-project.org/package=mglasso
Description: CRAN Package 'mglasso' (Multiscale Graphical Lasso)
 Inference of Multiscale graphical models with neighborhood selection
 approach.  The method is based on solving a convex optimization problem
 combining a Lasso and fused-group Lasso penalties.  This allows to infer
 simultaneously a conditional independence graph and a clustering partition.
 The optimization is based on the Continuation with Nesterov smoothing in a
 Shrinkage-Thresholding Algorithm solver (Hadj-Selem et al. 2018)
 <doi:10.1109/TMI.2018.2829802> implemented in python.

Package: r-cran-mglm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 533
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-plyr, r-cran-reshape2, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mglm_0.2.1-1.ca2004.1_all.deb
Size: 430956
MD5sum: f1ae8471af72e3b68963b9c6ae0fb422
SHA1: 69e5f15565d541183c11042fdd048f069b31f2e7
SHA256: 2a7c918850bbddb0bb663e5935d7b72d7d9cf08f1cd198b0e67c612448e4fce1
SHA512: 171f7c01e03bea480a5ca929c0d69fe46b4215a85c46f7a2b13866f79715c6439cc90980b93115f5ef00e83b62153e726ed0583c977b3fc360708fc644c60f58
Homepage: https://cran.r-project.org/package=MGLM
Description: CRAN Package 'MGLM' (Multivariate Response Generalized Linear Models)
 Provides functions that (1) fit multivariate discrete distributions, (2)
 generate random numbers from multivariate discrete distributions, and (3)
 run regression and penalized regression on the multivariate categorical
 response data.  Implemented models include: multinomial logit model,
 Dirichlet multinomial model, generalized Dirichlet multinomial model, and
 negative multinomial model. Making the best of the minorization-maximization
 (MM) algorithm and Newton-Raphson method, we derive and implement stable and
 efficient algorithms to find the maximum likelihood estimates. On a
 multi-core machine, multi-threading is supported.

Package: r-cran-mglmn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvabund, r-cran-snowfall
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mglmn_0.1.0-1.ca2004.1_all.deb
Size: 47608
MD5sum: 6cf937eeb046d164e76ae05a56f41038
SHA1: ffec3786f2a9faf9810d6ab3e4f20d99293444c1
SHA256: 3a3b7530f95bb377473ea185d2f9e127889dab8e27080addc5349f8aa3dbb2f2
SHA512: 2bc12c91aaa79cab6a44f9856b96b09fa1a6a1e51d0b12ed42ded3c9e4fa6676de85550cc74472adf07c0752ba2e3f84768d901f63872c26e0504fb6961a6ba4
Homepage: https://cran.r-project.org/package=mglmn
Description: CRAN Package 'mglmn' (Model Averaging for Multivariate GLM with Null Models)
 Tools for univariate and multivariate generalized linear models with model
 averaging and null model technique.

Package: r-cran-mgm
Architecture: all
Version: 1.2-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-stringr, r-cran-hmisc, r-cran-qgraph, r-cran-gtools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mgm_1.2-15-1.ca2004.1_all.deb
Size: 921624
MD5sum: 234c08bb817572a027c68119cce2e641
SHA1: 527635852d6319c71dd2c3f0942af99f9207c17c
SHA256: c9900715ea92ae86f828e934eabe10db3c856ab33b98e8859e8cd83139ace2c5
SHA512: 1ad1ed793c14686869a6859d4f15f5980090604d74ec692b5014ddbfbaeb1995a1cb6f11e8102eb6f7931c56fd72dcced8ab4b8715f8cfe3ab39f441e975a3ba
Homepage: https://cran.r-project.org/package=mgm
Description: CRAN Package 'mgm' (Estimating Time-Varying k-Order Mixed Graphical Models)
 Estimation of k-Order time-varying Mixed Graphical Models and mixed VAR(p)
 models via elastic-net regularized neighborhood regression. For details see
 Haslbeck & Waldorp (2020) <doi:10.18637/jss.v093.i08>.

Package: r-cran-mgms2
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4668
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maldiquant, r-cran-maldiquantforeign
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mgms2_1.0.2-1.ca2004.1_all.deb
Size: 3510164
MD5sum: 359b104236bdd1bc75fea0747bf0b405
SHA1: 9c4020fbbc6fd17dc3976ac04ed341c000c1def3
SHA256: 2c542163a6ce75143fb7aa09493efd8cc0f9944ff59d815c12745a6d1775d8df
SHA512: 25e952f5df939b08b5f31607fec8d45ac1c7a03501f9ee16d172c14264774515682b1ea7772949d8782f896b92d882f5b32c80f0b7fc2891f647703dca855439
Homepage: https://cran.r-project.org/package=MGMS2
Description: CRAN Package 'MGMS2' ('MGMS2' for Polymicrobial Samples)
 A glycolipid mass spectrometry technology has the potential to accurately
 identify individual bacterial species from polymicrobial samples. To develop
 bacterial identification algorithms (e.g. machine learning) using this
 glycolipid technology, it is necessary to generate a large number of various
 in-silico polymicrobial mass spectra that are similar to real mass spectra.
 'MGMS2' (Membrane Glycolipid Mass Spectrum Simulator) generates such
 in-silico mass spectra, considering errors in m/z (mass-to-charge ratio) and
 variances of intensity values, occasions of missing signature ions, and
 noise peaks. It estimates summary statistics of monomicrobial mass spectra
 for each strain or species and simulates polymicrobial glycolipid mass
 spectra using the summary statistics of monomicrobial mass spectra.
 References: Ryu, S.Y., Wendt, G.A., Chandler, C.E., Ernst, R.K. and
 Goodlett, D.R. (2019) <doi:10.1021/acs.analchem.9b03340> "Model-based
 Spectral Library Approach for Bacterial Identification via Membrane
 Glycolipids." Gibb, S. and Strimmer, K. (2012)
 <doi:10.1093/bioinformatics/bts447> "MALDIquant: a versatile R package for
 the analysis of mass spectrometry data."

Package: r-cran-mgpd
Architecture: all
Version: 1.99-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 789
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd, r-cran-numderiv, r-cran-corpcor, r-cran-fields
Filename: pool/dists/focal/main/r-cran-mgpd_1.99-1.ca2004.1_all.deb
Size: 677372
MD5sum: 6a10d29bc1e2bf6903fd080d2abfb427
SHA1: 94910e1d7b889d50df03cabac64a37f4c2eeae60
SHA256: 040a87fe1d1ff3d375790b4b8a69ab8a7792d1dd3a53cf217edf725e796e9b57
SHA512: fe5dccf4f784ac0251a7770b288d27ef703e9fa894aaaf726fe149a0837243ed0222ab5ddb11dc8d76d952ba230eb836f4008a7ff595529349e941a0d57782a3
Homepage: https://cran.r-project.org/package=mgpd
Description: CRAN Package 'mgpd' (mgpd: Functions for multivariate generalized Pareto distribution(MGPD of Type II))
 Extends distribution and density functions to parametric multivariate
 generalized Pareto distributions (MGPD of Type II), and provides fitting
 functions which calculate maximum likelihood estimates for bivariate and
 trivariate models. (Help is under progress)

Package: r-cran-mgpsdk
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mgpsdk_1.0.0-1.ca2004.1_all.deb
Size: 75220
MD5sum: 9ef1d742fb342d8139a3cefd22ebabee
SHA1: 802375d0fe304d5b50f9ea229a4aed9f223178a8
SHA256: 6053f3082288bdecd686e67d20737e8216cd1c788c77e3f42121a5745cb742e4
SHA512: 66ad704869735dbf2cf20aa5b139911002f93642fa537ff5c244bbe3d201d8f67617fbed10d0151a820211099cb54d568ec1a737f052386d280046d535aeceba
Homepage: https://cran.r-project.org/package=MGPSDK
Description: CRAN Package 'MGPSDK' (Interact with the Maxar 'MGP' Application Programming Interfaces)
 Provides an interface to the Maxar Geospatial Platform (MGP) Application
 Programming Interface. <https://www.maxar.com/maxar-geospatial-platform> It
 facilitates imagery searches using the MGP Streaming Application Programming
 Interface via the Web Feature Service (WFS) method, and supports image
 downloads through Web Map Service (WMS) and Web Map Tile Service (WMTS) Open
 Geospatial Consortium (OGC) methods.  Additionally, it integrates with the
 Maxar Geospatial Platform Basemaps Application Programming Interface for
 accessing Maxar basemaps imagery and seamlines.  The package also offers
 seamless integration with the Maxar Geospatial Platform Discovery
 Application Programming Interface, allowing users to search, filter, and
 sort Maxar content, while retrieving detailed metadata in formats like
 SpatioTemporal Asset Catalog (STAC) and GeoJSON.

Package: r-cran-mgpstreamingsdk
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mgpstreamingsdk_0.2.0-1.ca2004.1_all.deb
Size: 56968
MD5sum: f4ab3cb16cee8a603f23989edfcbbc81
SHA1: 9709fbdf4d93f9586530307a853c71721c02f816
SHA256: be5e545c56bbd53ffcee591e255ed001b73d11bdeeec8742b84463cdbd8c41a9
SHA512: 3f6919b97bbfb09cfbbda31b2de01e64cbfdd078812ad098c68ad2163ceba4a5d6766083855feaae71e7665ab21b28ea4fa883f8acd2ec7c52c8e0ec2e11730a
Homepage: https://cran.r-project.org/package=mgpStreamingSDK
Description: CRAN Package 'mgpStreamingSDK' (Interact with the Maxar MGP Streaming API)
 This grants the functionality of the Maxar Geospatial Platform (MGP)
 Streaming API. It can search for images using the WFS method. It can
 Download images using WMS WMTS. It can also Download a full resolution
 image.

Package: r-cran-mgsub
Architecture: all
Version: 1.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mgsub_1.7.3-1.ca2004.1_all.deb
Size: 36268
MD5sum: 19bb8a6c4076cc172214e3ec2c075a6a
SHA1: f99f7b17fa5f5fdaae2975547898249dafc2d983
SHA256: 4f7ddd533069c52564ae5b0f9e0242325864a7afd476783e3af120c1f2b1fcbd
SHA512: 175abae85d54a9a1c88f114c22596a8749112c48d142747754218790370862e838a6f93ed188dadefc8bdfe51a996886a271ed4934bc96b553c8241bc45e8e8f
Homepage: https://cran.r-project.org/package=mgsub
Description: CRAN Package 'mgsub' (Safe, Multiple, Simultaneous String Substitution)
 Designed to enable simultaneous substitution in strings in a safe fashion.
 Safe means it does not rely on placeholders (which can cause errors in same
 length matches).

Package: r-cran-mgsz
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-cran-gsa, r-bioc-limma, r-cran-mass, r-cran-ismev
Filename: pool/dists/focal/main/r-cran-mgsz_1.0-1.ca2004.1_all.deb
Size: 132072
MD5sum: 0361b3efdbadc6285f0ef864ef2316c9
SHA1: 617e8715b877960293a787fb1e59fc7c88c6a705
SHA256: 0ce01dc7a231f64f1e26cf1bb9806cb59bce3d6f59418cbf5474e934676f0584
SHA512: 00c0b4e0997c821f9319e2fd66bda5b550773d8d79861daaad347a11aa996a24e47f6d0007be324b5503deb62088f1a64544cd70a0688a3c64fa61a7577ac264
Homepage: https://cran.r-project.org/package=mGSZ
Description: CRAN Package 'mGSZ' (Gene set analysis based on GSZ-scoring function and asymptoticp-value)
 Performs gene set analysis based on GSZ scoring function and asymptotic
 p-value. It is different from GSZ in that it implements asymptotic p-values
 instead of empirical p-values. Asymptotic p-values are calculated by fitting
 suitable distribution model to the null distribution. Unlike empirical
 p-values, resolution of asymptotic p-values are independent of the number of
 permutations and hence requires considerably fewer permutations. In
 addition, this package allows gene set analysis with seven other popular
 gene set analysis methods.

Package: r-cran-mgwnbr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-mgwnbr_0.2.0-1.ca2004.1_all.deb
Size: 98324
MD5sum: 5185116e6fd882d3164003dd91856308
SHA1: e425161a1d5b240f7d070039eb745c7c19f7c634
SHA256: 57bec6d70a37d2d02388ff5d3a2d35b0770ccf00a5538ee4fedc8145a8d3237c
SHA512: 3a797383c345d8a78934d47c1889aa4aab59a04877aa18f985f7325dba496af910915d27b07986ec796e95f9fb1705f1d506dca8623313b887b88b63dd705411
Homepage: https://cran.r-project.org/package=mgwnbr
Description: CRAN Package 'mgwnbr' (Multiscale Geographically Weighted Negative Binomial Regression)
 Fits a geographically weighted regression model with different scales for
 each covariate. Uses the negative binomial distribution as default, but also
 accepts the normal, Poisson, or logistic distributions.  Can fit the global
 versions of each regression and also the geographically weighted
 alternatives with only one scale, since they are all particular cases of the
 multiscale approach.  Hanchen Yu (2024). "Exploring Multiscale
 Geographically Weighted Negative Binomial Regression", Annals of the
 American Association of Geographers <doi:10.1080/24694452.2023.2289986>.
 Fotheringham AS, Yang W, Kang W (2017). "Multiscale Geographically Weighted
 Regression (MGWR)", Annals of the American Association of Geographers
 <doi:10.1080/24694452.2017.1352480>.  Da Silva AR, Rodrigues TCV (2014).
 "Geographically Weighted Negative Binomial Regression - incorporating
 overdispersion", Statistics and Computing <doi:10.1007/s11222-013-9401-9>.

Package: r-cran-mgwrhw
Architecture: all
Version: 1.1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 951
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spgwr, r-cran-sf, r-cran-psych, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mgwrhw_1.1.1.5-1.ca2004.1_all.deb
Size: 926024
MD5sum: 6c85ade14ca21b19d3818b76ec55d768
SHA1: 247e335cfcee044a012df096b1b69e145399b724
SHA256: 5260aa8da63f3ba629af3f3d2867e6438fa99b9b6db637e96886ca7295d3be3f
SHA512: eb4617d7ff9526cd0e4dfe6fa9933d9b06badbb232ebd48c197a1551b9c7089e7121920e5ee131a4f0f0f475e6a7b4859a43ba2f9802c0c8dbb7496567ee2134
Homepage: https://cran.r-project.org/package=mgwrhw
Description: CRAN Package 'mgwrhw' (Displays GWR (Geographically Weighted Regression) and Mixed GWROutput and Map)
 Display processing results using the GWR (Geographically Weighted
 Regression) method, display maps, and show the results of the Mixed GWR
 (Mixed Geographically Weighted Regression) model which automatically selects
 global variables based on variability between regions. This function refers
 to Yasin, & Purhadi. (2012). "Mixed Geographically Weighted Regression Model
 (Case Study the Percentage of Poor Households in Mojokerto 2008)". European
 Journal of Scientific Research, 188-196.
 <https://www.researchgate.net/profile/Hasbi-Yasin-2/publication/289689583_Mixed_geographically_weighted_regression_model_case_study_The_percentage_of_poor_households_in_Mojokerto_2008/links/58e46aa40f7e9bbe9c94d641/Mixed-geographically-weighted-regression-model-case-study-The-percentage-of-poor-households-in-Mojokerto-2008.pdf>.

Package: r-cran-mhadaptive
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mhadaptive_1.1-8-1.ca2004.1_all.deb
Size: 83908
MD5sum: 2575cc62986e516ce6ff5b0fc8a7a598
SHA1: 0803330d613b5d5060595213969c14a85454d88f
SHA256: f30f8bc6aa7bc2faf5f828844208770f9f7d7723841241ad4dff33dce07fd58c
SHA512: 530508b83bfb061fe01f246b1f7341790da4888308660569a9088d5b24566efc9b56ae18b26b3d96afb90b2b82b21f79d0160aff78c85094a3efa661cbcf394c
Homepage: https://cran.r-project.org/package=MHadaptive
Description: CRAN Package 'MHadaptive' (General Markov Chain Monte Carlo for Bayesian Inference usingadaptive Metropolis-Hastings sampling)
 Performs general Metropolis-Hastings Markov Chain Monte Carlo sampling of a
 user defined function which returns the un-normalized value (likelihood
 times prior) of a Bayesian model.  The proposal variance-covariance
 structure is updated adaptively for efficient mixing when the structure of
 the target distribution is unknown.  The package also provides some
 functions for Bayesian inference including Bayesian Credible Intervals (BCI)
 and Deviance Information Criterion (DIC) calculation.

Package: r-cran-mhcnuggetsr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rappdirs, r-cran-reticulate, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mhcnuggetsr_1.1-1.ca2004.1_all.deb
Size: 122752
MD5sum: 857a999ad4265a5d252956fa51b04e1d
SHA1: 7b2691047c426978a15f857b5734be7cc26219d5
SHA256: 7fc4d9a62d02b91aa3dc47372eacf3067aabf8917afa344b9b92173616d0dfab
SHA512: 89219ba795c8937a12995c8e26362cd492445b88352d751f40a461916ee92dd5ba9025a2ba21f3a1745271f4756b43d93b615f602415d80b83fa74f6ad11f29f
Homepage: https://cran.r-project.org/package=mhcnuggetsr
Description: CRAN Package 'mhcnuggetsr' (Call MHCnuggets)
 MHCnuggets (<https://github.com/KarchinLab/mhcnuggets>) is a Python tool to
 predict MHC class I and MHC class II epitopes.  This package allows one to
 call MHCnuggets from R.

Package: r-cran-mhctools
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-mhctools_1.5.5-1.ca2004.1_all.deb
Size: 231716
MD5sum: b39683ab8c2d1ae4bab95dfcdf6ca01a
SHA1: df4cf569711553991c6115ebfdb06e558d72dcfa
SHA256: dcbd09af9ee7c5e41ef95fba6f7c37a3dc3892830d64deffbccb269f0500c67a
SHA512: e3b086f4549f584f7f774d801e1efb4ac1cc2320abbf4c437f6b9cf3529cd00cc04d10e49bd74a71c15f0dba412ab00628043ca778831edefc524697cc8aec8b
Homepage: https://cran.r-project.org/package=MHCtools
Description: CRAN Package 'MHCtools' (Analysis of MHC Data in Non-Model Species)
 Fifteen tools for bioinformatics processing and analysis of major
 histocompatibility complex (MHC) data. The functions are tailored for
 amplicon data sets that have been filtered using the dada2 method (for more
 information on dada2, visit <https://benjjneb.github.io/dada2/> ), but even
 other types of data sets can be analyzed.  The ReplMatch() function matches
 replicates in data sets in order to evaluate genotyping success.  The
 GetReplTable() and GetReplStats() functions perform such an evaluation.  The
 CreateFas() function creates a fasta file with all the sequences in the data
 set.  The CreateSamplesFas() function creates individual fasta files for
 each sample in the data set.  The DistCalc() function calculates Grantham,
 Sandberg, or p-distances from pairwise comparisons of all sequences in a
 data set, and mean distances of all pairwise comparisons within each sample
 in a data set. The function additionally outputs five tables with
 physico-chemical z-descriptor values (based on Sandberg et al. 1998) for
 each amino acid position in all sequences in the data set. These tables may
 be useful for further downstream analyses, such as estimation of MHC
 supertypes.  The BootKmeans() function is a wrapper for the kmeans()
 function of the 'stats' package, which allows for bootstrapping.
 Bootstrapping k-estimates may be desirable in data sets, where e.g. BIC- vs.
 k-values do not produce clear inflection points ("elbows"). BootKmeans()
 performs multiple runs of kmeans() and estimates optimal k-values based on a
 user-defined threshold of BIC reduction. The method is an automated and
 bootstrapped version of visually inspecting elbow plots of BIC- vs.
 k-values.  The ClusterMatch() function is a tool for evaluating whether
 different k-means() clustering models identify similar clusters, and
 summarize bootstrap model stats as means for different estimated values of
 k. It is designed to take files produced by the BootKmeans() function as
 input, but other data can be analyzed if the descriptions of the required
 data formats are observed carefully.  The PapaDiv() function compares parent
 pairs in the data set and calculate their joint MHC diversity, taking into
 account sequence variants that occur in both parents.  The HpltFind()
 function infers putative haplotypes from families in the data set.  The
 GetHpltTable() and GetHpltStats() functions evaluate the accuracy of the
 haplotype inference.  The CreateHpltOccTable() function creates a binary
 (logical) haplotype-sequence occurrence matrix from the output of
 HpltFind(), for easy overview of which sequences are present in which
 haplotypes.  The HpltMatch() function compares haplotypes to help identify
 overlapping and potentially identical types.  The NestTablesXL() function
 translates the output from HpltFind() to an Excel workbook, that provides a
 convenient overview for evaluation and curating of the inferred putative
 haplotypes.

Package: r-cran-mhda
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mhda_1.4-1.ca2004.1_all.deb
Size: 48616
MD5sum: 4ac0ae9d749fc69d5d196bf02da81d98
SHA1: ff013000ec9987a8fbacba0122b09290739bbb51
SHA256: 3ca5ceb3d01ad6340f3c51da028f9376d907b45f6ec6e050feac99a4be806e83
SHA512: 1af39641c27e8b2cee4c90733a3dd78dc670eee7927e6195fcd5da256f431cf1c5669946a1e0924502ba0dd0d6f4a2c2aa4559c83de7e6ff63df2e4e15fc2773
Homepage: https://cran.r-project.org/package=MHDA
Description: CRAN Package 'MHDA' (Massive Hierarchically Data Analysis)
 Three main functions about analyzing massive data (missing observations are
 allowed) considered from multiple layers of categories.

Package: r-cran-mhg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mhg_1.1-1.ca2004.1_all.deb
Size: 33696
MD5sum: 823083e5f186775f9c8755501ba32811
SHA1: bd85cee1c0b07c2d7b32fe0ae0abab3f5790f6f9
SHA256: 7e951ad9dd43d5cfc4f73ce10242b4fe538cc3d8ee64102999d3b9a1c3902169
SHA512: 1f18b231e918c69dcd01f98620484409465319614115acce1a9ccda3f75a39243a42b833ada8b9066a8c93bfcae172e03b3da717a25ee32c8e7b8b4d46d0b848
Homepage: https://cran.r-project.org/package=mHG
Description: CRAN Package 'mHG' (Minimum-Hypergeometric Test)
 Runs a minimum-hypergeometric (mHG) test as described in: Eden, E. (2007).
 Discovering Motifs in Ranked Lists of DNA Sequences. Haifa.

Package: r-cran-mhqol
Architecture: all
Version: 0.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-assertthat, r-cran-tidyr, r-cran-shiny, r-cran-shinyalert, r-cran-dt, r-cran-writexl, r-cran-fmsb
Suggests: r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mhqol_0.14.0-1.ca2004.1_all.deb
Size: 98380
MD5sum: eab6da084a8e25361a6124f6f6072c5c
SHA1: d8bee66669cf29c3a65d3fd40210920018aea7a3
SHA256: ca69793978ec330b106c0d6960a8a763b002db455e77372cfe5739ac8ee0486b
SHA512: 610498a61fc2e3704a590f66af2822224824c36ba0c2ea67fa330eed526ad8483796f23e361a5686768a73007eb56cde5d4bec2387df9ddf891870c6c52d02c1
Homepage: https://cran.r-project.org/package=MHQoL
Description: CRAN Package 'MHQoL' (Mental Health Quality of Life Toolkit)
 Transforms, calculates, and presents results from the Mental Health Quality
 of Life Questionnaire (MHQoL), a measure of health-related quality of life
 for individuals with mental health conditions. Provides scoring functions,
 summary statistics, and visualization tools to facilitate interpretation.
 For more details see van Krugten et al.(2022)
 <doi:10.1007/s11136-021-02935-w>.

Package: r-cran-mhtboot
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mhtboot_1.3.3-1.ca2004.1_all.deb
Size: 175644
MD5sum: a5546ed6c5b9e1875ac3ad47f73e57d1
SHA1: 839e993a451026f74802ae4a0ef73bd94f9f6d1d
SHA256: b70aa138b09c05ec1cb8f9304067f74a71b3300a038245cd10c1c6d212991da4
SHA512: 884a445cf63e4bf4e26dc8889160dd8cfee77d66442c6b056303a6b0c8441f5e3e6d18c7f1c2c129128d7f2b6ed2dd2d1160794c151048ed1e653098a952eb7c
Homepage: https://cran.r-project.org/package=mhtboot
Description: CRAN Package 'mhtboot' (Multiple Hypothesis Test Based on Distribution of p Values)
 A framework for multiple hypothesis testing based on distribution of p
 values. It is well known that the p values come from different distribution
 for null and alternatives, in this package we provide functions to detect
 that change. We provide a method for using the change in distribution of p
 values as a way to detect the true signals in the data.

Package: r-cran-mhtdiscrete
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mhtdiscrete_1.0.1-1.ca2004.1_all.deb
Size: 80204
MD5sum: a7d551e8c69e6c448e432843efab99da
SHA1: c1651f8bf3350e105c944b052f46052d6ba3ee7c
SHA256: 9ee26ae878349038f59b7daf921d768152d771069cc7f20191695982c760d54e
SHA512: b70439f830e83f5d563c4cee73c64ad716e8516a136b87e1dd8c0126722ce4289871ec1f674c6d122acef8e2d463c91e0db956375db1bf1a6796ed79b9a31d47
Homepage: https://cran.r-project.org/package=MHTdiscrete
Description: CRAN Package 'MHTdiscrete' (Multiple Hypotheses Testing for Discrete Data)
 A comprehensive tool for almost all existing multiple testing methods for
 discrete data. The package also provides some novel multiple testing
 procedures controlling FWER/FDR for discrete data. Given discrete p-values
 and their domains, the [method].p.adjust function returns adjusted p-values,
 which can be used to compare with the nominal significant level alpha and
 make decisions. For users' convenience, the functions also provide the
 output option for printing decision rules.

Package: r-cran-mhtrajectoryr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-mhtrajectoryr_1.0.1-1.ca2004.1_all.deb
Size: 35688
MD5sum: 46fcfa109865e2d08ebd5908d025d534
SHA1: d9441a020d9a2e9c09729718f08e8f144a58fb11
SHA256: 92dcd307cb35a194b5f698ab2e2950d6a3e202f9184190bac7617527dcea9d98
SHA512: f1160674b4e4a0a4aa1e5a612143c093ffddb8bbca25b3e25891d2c43fdb1faaf97f94485f1b98bc5bee5a41ca7573e6882d482a589d709d1788b9047c7636ba
Homepage: https://cran.r-project.org/package=MHTrajectoryR
Description: CRAN Package 'MHTrajectoryR' (Bayesian Model Selection in Logistic Regression for theDetection of Adverse Drug Reactions)
 Spontaneous adverse event reports have a high potential for detecting
 adverse drug reactions. However, due to their dimension, the analysis of
 such databases requires statistical methods. We propose to use a logistic
 regression whose sparsity is viewed as a model selection challenge. Since
 the model space is huge, a Metropolis-Hastings algorithm carries out the
 model selection by maximizing the BIC criterion.

Package: r-cran-mi4p
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emmeans, r-cran-foreach, r-cran-imp4p, r-bioc-impute, r-bioc-limma, r-cran-mice, r-cran-stringr
Suggests: r-bioc-biobase, r-cran-knitr, r-cran-r.rsp, r-cran-markdown, r-cran-rmarkdown, r-bioc-dapar, r-bioc-proteomm
Filename: pool/dists/focal/main/r-cran-mi4p_1.2-1.ca2004.1_all.deb
Size: 2044136
MD5sum: 5b57ccb2bc5484e289c2c2eb4c14eda7
SHA1: 308ad838f95aea93e5b773fa2b688d21edb34ba3
SHA256: a1f1f84dfcbac118ee517094dbdb64af0c5a0e2ba445222d3cca289648c73f4c
SHA512: b6cb2389685b5f60a9804641a62397ce1476ba4301ecd0e960e18bb441a3a98610399096b7c4038f1365a36bf3b10033811f6ce1dfbdfb0bb11759d92cb545e7
Homepage: https://cran.r-project.org/package=mi4p
Description: CRAN Package 'mi4p' (Multiple Imputation for Proteomics)
 A framework for multiple imputation for proteomics is proposed by Marie
 Chion, Christine Carapito and Frederic Bertrand (2021)
 <doi:10.1371/journal.pcbi.1010420>. It is dedicated to dealing with multiple
 imputation for proteomics.

Package: r-cran-mi
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2248
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-arm
Suggests: r-cran-betareg, r-cran-lattice, r-cran-knitr, r-cran-mass, r-cran-nnet, r-cran-sn, r-cran-survival, r-cran-truncnorm, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-mi_1.1-1.ca2004.1_all.deb
Size: 1852592
MD5sum: f8b45e9f786ff2fbf6e5e51b939ad34a
SHA1: ec3b72e9e6ff408a763f45d288591d7f6a1be7e1
SHA256: 89f76dfa1e236c82cabf513b828ee3395e44f9e8fd5247abd6be82528b394763
SHA512: 3e0fdcf888c7e536454c079bd12426a1a977466e4c4be67f55ac79d8c035ee63d6aeefe83ef4b390cc34ee9e49e1b6ad94e2b4e7b1f2e7d9dc775496d29e5b0b
Homepage: https://cran.r-project.org/package=mi
Description: CRAN Package 'mi' (Missing Data Imputation and Model Checking)
 The mi package provides functions for data manipulation, imputing missing
 values in an approximate Bayesian framework, diagnostics of the models used
 to generate the imputations, confidence-building mechanisms to validate some
 of the assumptions of the imputation algorithm, and functions to analyze
 multiply imputed data sets with the appropriate degree of sampling
 uncertainty.

Package: r-cran-miamaxent
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-e1071, r-cran-terra, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-miamaxent_1.3.1-1.ca2004.1_all.deb
Size: 893624
MD5sum: 1b003a53497b40506ef4ead9becfd98a
SHA1: 05b36609a899c769c594027ef678e7a1a1b7931b
SHA256: 241c3bdd33dbb079b9fa799c9b64df0ccc0d3c6222d0adb1d719748ca854802e
SHA512: e059bb698ef323de22f9b41a400afde61b11f3fc4d49e100cbb34e4910ae65a2011990816642a6d585d1184bf279c8f285c72eef5c2af8a3ee66bdc56b038e75
Homepage: https://cran.r-project.org/package=MIAmaxent
Description: CRAN Package 'MIAmaxent' (A Modular, Integrated Approach to Maximum Entropy DistributionModeling)
 Tools for training, selecting, and evaluating maximum entropy (and standard
 logistic regression) distribution models. This package provides tools for
 user-controlled transformation of explanatory variables, selection of
 variables by nested model comparison, and flexible model evaluation and
 projection. It follows principles based on the maximum- likelihood
 interpretation of maximum entropy modeling, and uses infinitely- weighted
 logistic regression for model fitting. The package is described in Vollering
 et al. (2019; <doi:10.1002/ece3.5654>).

Package: r-cran-micar
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-micar_1.1.2-1.ca2004.1_all.deb
Size: 127060
MD5sum: 51a7702ef07cd555894f35c231ab3a4a
SHA1: 580649e0a6ce9408ef3382a8a6d00766b2939ab2
SHA256: 7bf9933163a2d841548d9e301c8174da3a6a5679f07fa31a3b8ce06a7c474a6b
SHA512: cf1392d69463afb3551ef6ea692d4b6802d53f7d424dae447bd895b53004afec97d6cea94a4f41b5bf02ede9100cd499d2245beafd8c9832a3e586d102bdfb4e
Homepage: https://cran.r-project.org/package=micar
Description: CRAN Package 'micar' ('Mica' Data Web Portal Client)
 'Mica' is a server application used to create data web portals for
 large-scale epidemiological studies or multiple-study consortia. 'Mica'
 helps studies to provide scientifically robust data visibility and web
 presence without significant information technology effort. 'Mica' provides
 a structured description of consortia, studies, annotated and searchable
 data dictionaries, and data access request management. This 'Mica' client
 allows to perform data extraction for reporting purposes.

Package: r-cran-micd
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pcalg, r-cran-mice, r-bioc-rbgl, r-cran-rfast
Suggests: r-cran-nnet, r-cran-ranger, r-bioc-rgraphviz, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-micd_1.1.1-1.ca2004.1_all.deb
Size: 159848
MD5sum: f908040ff5e073e1219dbc48e92716a7
SHA1: 9bfa1d5e2565871134ee27e172dc96f2179c8f7f
SHA256: 25669808c79ca5c2a36210fa88e2b78ecea498f3e6fa7d2b3f2b61450cde81cc
SHA512: 9ca40faefd4d66cd0dcbf99042d8157551091e063f23ab4c0a7515d2240ee2dbda0d0b900b873d43d8abf01f776030c50c281f3fa6befaf35a3ccb1280dba293
Homepage: https://cran.r-project.org/package=micd
Description: CRAN Package 'micd' (Multiple Imputation in Causal Graph Discovery)
 Modified functions of the package 'pcalg' and some additional functions to
 run the PC and the FCI (Fast Causal Inference) algorithm for
 constraint-based causal discovery in incomplete and multiply imputed
 datasets.  Foraita R, Friemel J, Günther K, Behrens T, Bullerdiek J, Nimzyk
 R, Ahrens W, Didelez V (2020) <doi:10.1111/rssa.12565>; Andrews RM, Foraita
 R, Didelez V, Witte J (2021) <arXiv:2108.13395>; Witte J, Foraita R, Didelez
 V (2022) <doi:10.1002/sim.9535>.

Package: r-cran-miceafter
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-proc, r-cran-rms, r-cran-mice, r-cran-mitml, r-cran-mitools, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-stringr, r-cran-car, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-foreign, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-bookdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-miceafter_0.5.0-1.ca2004.1_all.deb
Size: 308572
MD5sum: e27688933dd5f487a02f9659330abee4
SHA1: 3fc4166277dddbdef4528518d114230858fb7cc6
SHA256: e42cbdf2971348513b862850af5e4d0062c727dea6420e28b1a2e81863aa58af
SHA512: 2f89ad15d66bdd584c94a352ef7b8319404d50a41cd905d095b39ac05f0d39d6e13af233c40b6ebcd6554fe3e0d2fd440a182182674ddf29d9307087d1a5c444
Homepage: https://cran.r-project.org/package=miceafter
Description: CRAN Package 'miceafter' (Data and Statistical Analyses after Multiple Imputation)
 Statistical Analyses and Pooling after Multiple Imputation. A large variety
 of repeated statistical analysis can be performed and finally pooled.
 Statistical analysis that are available are, among others, Levene's test,
 Odds and Risk Ratios, One sample proportions, difference between proportions
 and linear and logistic regression models.  Functions can also be used in
 combination with the Pipe operator.  More and more statistical analyses and
 pooling functions will be added over time.  Heymans (2007)
 <doi:10.1186/1471-2288-7-33>.  Eekhout (2017)
 <doi:10.1186/s12874-017-0404-7>.  Wiel (2009)
 <doi:10.1093/biostatistics/kxp011>.  Marshall (2009)
 <doi:10.1186/1471-2288-9-57>.  Sidi (2021)
 <doi:10.1080/00031305.2021.1898468>.  Lott (2018)
 <doi:10.1080/00031305.2018.1473796>.  Grund (2021)
 <doi:10.31234/osf.io/d459g>.

Package: r-cran-micecon
Architecture: all
Version: 0.6-18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-misctools, r-cran-plm
Suggests: r-cran-ecdat, r-cran-systemfit
Filename: pool/dists/focal/main/r-cran-micecon_0.6-18-1.ca2004.1_all.deb
Size: 219924
MD5sum: a9b517152972c404eab7d6db3af00853
SHA1: b566ae33bc03fea17fd2938e5503a625bf2b4131
SHA256: bae75fe719de3ff3cd14e03bd5de58f3d9edcb851f60745877537a94e4395937
SHA512: c2150d615ca496a77b63fd00b97f502b91c7e44a34a9d124dd3cbe28f8f64a8547d83cc49eaabe1747a0725b92917f88f4a4e462a5dc29b6622c93ff5b42005c
Homepage: https://cran.r-project.org/package=micEcon
Description: CRAN Package 'micEcon' (Microeconomic Analysis and Modelling)
 Various tools for microeconomic analysis and microeconomic modelling, e.g.
 estimating quadratic, Cobb-Douglas and Translog functions, calculating
 partial derivatives and elasticities of these functions, and calculating
 Hessian matrices, checking curvature and preparing restrictions for imposing
 monotonicity of Translog functions.

Package: r-cran-miceconaids
Architecture: all
Version: 0.6-20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lmtest, r-cran-micecon, r-cran-systemfit, r-cran-misctools
Filename: pool/dists/focal/main/r-cran-miceconaids_0.6-20-1.ca2004.1_all.deb
Size: 466112
MD5sum: 7de665673d286d4ed682ae8215c570d6
SHA1: b06389764d41e98e4257c0bff4f72d5eef371896
SHA256: de95b5024ce22e327242c0849f6d0fc3720f3b0d61a146c126527032d7ecf383
SHA512: 9e5e22142c8a683d4913fb912564e878200ead83779a0ad5249ee9e4c44571d56b40f10e540cb4604f2cf96ac95e340334645db0e48b4979e1789bfc03fa4b8a
Homepage: https://cran.r-project.org/package=micEconAids
Description: CRAN Package 'micEconAids' (Demand Analysis with the Almost Ideal Demand System (AIDS))
 Functions and tools for analysing consumer demand with the Almost Ideal
 Demand System (AIDS) suggested by Deaton and Muellbauer (1980).

Package: r-cran-miceconces
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-minpack.lm, r-cran-deoptim, r-cran-car, r-cran-systemfit, r-cran-micecon, r-cran-misctools
Suggests: r-cran-maxlik, r-cran-xtable, r-cran-aer
Filename: pool/dists/focal/main/r-cran-miceconces_1.0-2-1.ca2004.1_all.deb
Size: 271328
MD5sum: f1991d3a0a6261c8323a71cb64c751ac
SHA1: ff06d8ea19e03794f5f75231b9f6894f759a2516
SHA256: 17a46fbfbe2ab329beeda6fdf92b5dd3a56f414c31ade89faa0c32eedcd3a1ef
SHA512: d3f6f0a0630ddd42274ff512f7737a643125d53e3082ffcfa74f61467c6e860b218801025f4e780dcf752f3e260eee6a7b4ffd18ee48967d3a19914f12b7bece
Homepage: https://cran.r-project.org/package=micEconCES
Description: CRAN Package 'micEconCES' (Analysis with the Constant Elasticity of Substitution (CES)Function)
 Tools for econometric analysis and economic modelling with the traditional
 two-input Constant Elasticity of Substitution (CES) function and with nested
 CES functions with three and four inputs.  The econometric estimation can be
 done by the Kmenta approximation, or non-linear least-squares using various
 gradient-based or global optimisation algorithms.  Some of these algorithms
 can constrain the parameters to certain ranges, e.g. economically meaningful
 values.  Furthermore, the non-linear least-squares estimation can be
 combined with a grid-search for the rho-parameter(s).  The estimation
 methods are described in Henningsen et al. (2021)
 <doi:10.4337/9781788976480.00030>.

Package: r-cran-micecondistray
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sfar
Suggests: r-cran-micecon, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-micecondistray_0.1-2-1.ca2004.1_all.deb
Size: 100884
MD5sum: d04383c75776baf8c52dcf9f30984b55
SHA1: 5a5aafa070f6ef1a7fe91e60964b3f5bef4d72ff
SHA256: 4e9f82983dce353b92110695f896ba605b349566c3e06a9a40474dc06eadc222
SHA512: 14449400318300988b8476e18534add50b15841149072d839a3007203d89a4034bac708bf842d4a5288ac2d2d30c13da59270b6a2b4ede8c61b9f80e635dcbe0
Homepage: https://cran.r-project.org/package=micEconDistRay
Description: CRAN Package 'micEconDistRay' (Econometric Production Analysis with Ray-Based DistanceFunctions)
 Econometric analysis of multiple-input-multiple-output production
 technologies with ray-based input distance functions as suggested by Price
 and Henningsen (2022): "A Ray-Based Input Distance Function to Model
 Zero-Valued Output Quantities: Derivation and an Empirical Application",
 <https://ideas.repec.org/p/foi/wpaper/2022_03.html>.

Package: r-cran-miceconindex
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-misctools
Suggests: r-cran-ecdat, r-cran-micecon
Filename: pool/dists/focal/main/r-cran-miceconindex_0.1-8-1.ca2004.1_all.deb
Size: 19524
MD5sum: 6c04a6b49de5cbe5e19d0f075cbbf9fe
SHA1: 20eff74ab9fb587849fa3558cf98d9fdb4729fa5
SHA256: 2af30c4299af472020880036e8f6d1e3f3fc929cf90c808b0b742536d770fd62
SHA512: f3e3f0d273d2fb99f5a948e24e639607c29416a9168fb3251f156aa5319211ae4f4846448e21f3ad430a2854a059fa7f7647c3b84a63dd5e10a3f76ac67c77e4
Homepage: https://cran.r-project.org/package=micEconIndex
Description: CRAN Package 'micEconIndex' (Price and Quantity Indices)
 Tools for calculating Laspeyres, Paasche, and Fisher price and quantity
 indices.

Package: r-cran-miceconsnqp
Architecture: all
Version: 0.6-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-misctools, r-cran-systemfit, r-cran-mass
Suggests: r-cran-micecon
Filename: pool/dists/focal/main/r-cran-miceconsnqp_0.6-10-1.ca2004.1_all.deb
Size: 141444
MD5sum: 10e9f8f4d913af6e6e63645007bc154e
SHA1: c443d61fbc3db4e70872d6a15d4157f998be6327
SHA256: f7b0645f6963aac9607bb5761b0be789f499cce489d64547ac798aefdadf4213
SHA512: a8c2957359599632866a33371ca4272e957c64db03ce1b54796db15f5b18e7f44252693c94a84ca0f501207a41db92edada027d3ac014872ef01582eba204276
Homepage: https://cran.r-project.org/package=micEconSNQP
Description: CRAN Package 'micEconSNQP' (Symmetric Normalized Quadratic Profit Function)
 Tools for econometric production analysis with the Symmetric Normalized
 Quadratic (SNQ) profit function, e.g. estimation, imposing convexity in
 prices, and calculating elasticities and shadow prices.

Package: r-cran-micemd
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 503
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mice, r-cran-matrix, r-cran-mass, r-cran-nlme, r-cran-lme4, r-cran-mvmeta, r-cran-jomo, r-cran-mvtnorm, r-cran-digest, r-cran-abind, r-cran-gjrm, r-cran-mgcv, r-cran-mixmeta, r-cran-pbivnorm
Suggests: r-cran-vim, r-cran-ggplot2, r-cran-data.table, r-cran-broom.mixed
Filename: pool/dists/focal/main/r-cran-micemd_1.10.0-1.ca2004.1_all.deb
Size: 467100
MD5sum: 35f86a88508cbb8d1a44c5c5f8600a62
SHA1: 6b1beba0ba1d874f4e7b82d08b76258ef2958c91
SHA256: e68c94f8ea53ab8a8294d51d775ff66b52277ab0c03cc813b8647604d6950e06
SHA512: bb6a389486db629c61346659e15ffbbdda0997a2e1cbd49017c62cfacb5b5442f30cfbb4a187e1d7488ca068eebfb0de7f99c82ec4d940fe3a973e77c3360330
Homepage: https://cran.r-project.org/package=micemd
Description: CRAN Package 'micemd' (Multiple Imputation by Chained Equations with Multilevel Data)
 Addons for the 'mice' package to perform multiple imputation using chained
 equations with two-level data. Includes imputation methods dedicated to
 sporadically and systematically missing values. Imputation of continuous,
 binary or count variables are available. Following the recommendations of
 Audigier, V. et al (2018) <doi:10.1214/18-STS646>, the choice of the
 imputation method for each variable can be facilitated by a default choice
 tuned according to the structure of the incomplete dataset. Allows parallel
 calculation and overimputation for 'mice'.

Package: r-cran-micer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-micer_0.2.0-1.ca2004.1_all.deb
Size: 59340
MD5sum: ce36e396b2892ccf06fc390d2d44cd31
SHA1: fed1fa0b541e17c710b748b2d251d729801a41bb
SHA256: 514ffd14d63ff14e94e92a0de412bfcb14744bb63bc8444b2f5b2a8d0dc3b46d
SHA512: 9924741aab7d13b14249c529e7c94569753589261c7c7ad3ad5cfe1cab381ce5cd9c1f039896d41de65b3608c4353fbdea93f669757eff67fbe0be64e1ed08f3
Homepage: https://cran.r-project.org/package=micer
Description: CRAN Package 'micer' (Map Image Classification Efficacy)
 Map image classification efficacy (MICE) adjusts the accuracy rate relative
 to a random classification baseline (Shao et al.
 (2021)<doi:10.1109/ACCESS.2021.3116526> and Tang et al.
 (2024)<doi:10.1109/TGRS.2024.3446950>). Only the proportions from the
 reference labels are considered, as opposed to the proportions from the
 reference and predictions, as is the case for the Kappa statistic. This
 package offers means to calculate MICE and adjusted versions of class-level
 user's accuracy (i.e., precision) and producer's accuracy (i.e., recall) and
 F1-scores. Class-level metrics are aggregated using macro-averaging.
 Functions are also made available to estimate confidence intervals using
 bootstrapping and statistically compare two classification results.

Package: r-cran-miceranger
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-data.table, r-cran-fnn, r-cran-ggplot2, r-cran-crayon, r-cran-corrplot, r-cran-ggpubr, r-cran-desctools, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-miceranger_1.5.0-1.ca2004.1_all.deb
Size: 948984
MD5sum: e4d0e702448fd18350346c51d986521e
SHA1: 23a77e60c2936dedb21e4190156f3bbf635bf0df
SHA256: 0cd63324f829f885a1c8979d38c4cc59c4a275418dcc63c5db44c49f9f93bd59
SHA512: e0c329a1331dacb5ab7b74d916f876109b731b2f0d7cea46bb7b9e84da1eddf96806eac88fd7318486035d2d6795f1ba550b7f617942796ccea93f322896db4a
Homepage: https://cran.r-project.org/package=miceRanger
Description: CRAN Package 'miceRanger' (Multiple Imputation by Chained Equations with Random Forests)
 Multiple Imputation has been shown to be a flexible method to impute missing
 values by Van Buuren (2007) <doi:10.1177/0962280206074463>.  Expanding on
 this, random forests have been shown to be an accurate model by Stekhoven
 and Buhlmann <arXiv:1105.0828> to impute missing values in datasets.  They
 have the added benefits of returning out of bag error and variable
 importance estimates, as well as being simple to run in parallel.

Package: r-cran-michelrodange
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-michelrodange_1.0.0-1.ca2004.1_all.deb
Size: 150376
MD5sum: d969aec2ae619949f4360ae2c36df162
SHA1: 76d22a77f13267e31176fbd31e2167308ea0d203
SHA256: f0e89a95b1ef0d7670954c8bf4c276785e1652e30a832b303780be2050f1f2d9
SHA512: 0e7f4a629b75ffe696b61ea1f923c21f86ec6971d27eeeb3b8a09cb4d9d1e2825156c393c56926962ea8960192751544a49aa3fe7a0705ba1236ec95322bfaf1
Homepage: https://cran.r-project.org/package=michelRodange
Description: CRAN Package 'michelRodange' (The Works (in Luxembourguish) of Michel Rodange)
 Michel Rodange was a Luxembourguish writer and poet who lived in the 19th
 century.  His most notable work is Rodange (1872, ISBN:1166177424), ("Renert
 oder de Fuuß am Frack an a Ma'nsgrëßt"), but he also wrote many more works,
 including Rodange, Tockert (1928)
 <https://www.autorenlexikon.lu/page/document/361/3614/1/FRE/index.html>
 ("D'Léierchen - Dem Léiweckerche säi Lidd") and Rodange, Welter (1929)
 <https://www.autorenlexikon.lu/page/document/361/3615/1/FRE/index.html>
 ("Dem Grow Sigfrid seng Goldkuommer"). This package contains three datasets,
 each made from the plain text versions of his works available on
 <https://data.public.lu/fr/datasets/the-works-in-luxembourguish-of-michel-rodange/>.

Package: r-cran-miclust
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doby, r-cran-combinat, r-cran-flexclust, r-cran-irr, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-xtable, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-miclust_1.2.8-1.ca2004.1_all.deb
Size: 164240
MD5sum: 68904813acce1125382d6a2b8efe1375
SHA1: 2a29fa0b6e0d5d9ca3aff22a74351379a943df10
SHA256: 9e53549b26d66c39d501b72a6161b9b08b70fab1928af152c82063b197155f33
SHA512: ceb70b00fa4c98fece40b91cee3ed1fa028076b5d5d3e1bf82cf786f361f5a5f24e97ac2140896e559ed7a0b4df98318f12b8a2ed9bd5c7528a0ddeb03805ea8
Homepage: https://cran.r-project.org/package=miclust
Description: CRAN Package 'miclust' (Multiple Imputation in Cluster Analysis)
 Implementation of a framework for cluster analysis with selection of the
 final number of clusters and an optional variable selection procedure. The
 package is designed to integrate the results of multiple imputed datasets
 while accounting for the uncertainty that the imputations introduce in the
 final results. In addition, the package can also be used for a cluster
 analysis of the complete cases of a single dataset. The package also
 includes specific methods to summarize and plot the results.  The methods
 are described in Basagana et al. (2013) <doi:10.1093/aje/kws289>.

Package: r-cran-micompr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2119
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-biotools, r-cran-mvn, r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-micompr_1.2.0-1.ca2004.1_all.deb
Size: 1679968
MD5sum: bc84edc54290760eed94a98418fbe53c
SHA1: 18dcf244069b5fd3e3c6be7f98bbdc929452776b
SHA256: 9401840c7e46ecb92a3f93c0284c3059c90c17c10c36cfde39cdba14b5acaec9
SHA512: 9f15199b9966ee5391aaee00ffb2cc15c35ea086db9020badbd981afdef4b8afb54284bbe56d40de167f71b901d65d0298e8dd11fa7fc31ee8d67f655430496d
Homepage: https://cran.r-project.org/package=micompr
Description: CRAN Package 'micompr' (Multivariate Independent Comparison of Observations)
 A procedure for comparing multivariate samples associated with different
 groups. It uses principal component analysis to convert multivariate
 observations into a set of linearly uncorrelated statistical measures, which
 are then compared using a number of statistical methods. The procedure is
 independent of the distributional properties of samples and automatically
 selects features that best explain their differences, avoiding manual
 selection of specific points or summary statistics. It is appropriate for
 comparing samples of time series, images, spectrometric measures or similar
 multivariate observations. This package is described in Fachada et al.
 (2016) <doi:10.32614/RJ-2016-055>.

Package: r-cran-micoptcm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nleqslv, r-cran-survival, r-cran-distr
Filename: pool/dists/focal/main/r-cran-micoptcm_1.1-1.ca2004.1_all.deb
Size: 75460
MD5sum: 26b85986f557f765914153f9e3f8417a
SHA1: 0d9af01c32c17e16909c4b6b09c333aa716a14e1
SHA256: 57ddcfec540b978faad5c584514cbe77f5c23ea399e0ecba456406b810efd333
SHA512: 93a23729f0ae14e0e174ed6c1413d06c94799d3f5bb681aaba46e6d99a9fffcfe44b274eefb57c235a05207892390e9ea9783f7a07f4bef6f9831e230d5361ba
Homepage: https://cran.r-project.org/package=miCoPTCM
Description: CRAN Package 'miCoPTCM' (Promotion Time Cure Model with Mis-Measured Covariates)
 Fits Semiparametric Promotion Time Cure Models, taking into account (using a
 corrected score approach or the SIMEX algorithm) or not the measurement
 error in the covariates, using a backfitting approach to maximize the
 likelihood.

Package: r-cran-microbats
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-microbats_0.1-1-1.ca2004.1_all.deb
Size: 15380
MD5sum: bf9cc1a5e5408c775aa5d612c5109d18
SHA1: 435726d52f077727404c495a7239dce4e76f09a5
SHA256: 6910727d5ffbd8eadb6d0112f4a3ceb2e949fcb092d4a5cbb174fd1ec4400462
SHA512: 8ed07bb147807b7b8fa275c09c786acffef6bc539b224af6c6439a0a53338d40676568e1aefd22895dc703f598e0116945a32c25691568d932c3ac8248a42c66
Homepage: https://cran.r-project.org/package=microbats
Description: CRAN Package 'microbats' (An Implementation of Bat Algorithm in R)
 A nature-inspired metaheuristic algorithm based on the echolocation behavior
 of microbats that uses frequency tuning to optimize problems in both
 continuous and discrete dimensions. This R package makes it easy to
 implement the standard bat algorithm on any user-supplied function. The
 algorithm was first developed by Xin-She Yang in 2010
 (<DOI:10.1007/978-3-642-12538-6_6>, <DOI:10.1109/CINTI.2014.7028669>).

Package: r-cran-microbial
Architecture: all
Version: 0.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-plyr, r-cran-magrittr, r-cran-broom, r-bioc-phyloseq, r-cran-vegan, r-cran-rlang, r-cran-ggplot2, r-cran-ggpubr, r-bioc-deseq2, r-bioc-summarizedexperiment, r-bioc-s4vectors, r-cran-rstatix, r-cran-tidyr, r-cran-phangorn, r-cran-randomforest, r-bioc-edger
Suggests: r-cran-markdown, r-bioc-dada2, r-cran-rmarkdown, r-cran-knitr, r-bioc-biostrings, r-bioc-decipher, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-microbial_0.0.21-1.ca2004.1_all.deb
Size: 996576
MD5sum: 2c0abf9f5cfa60b97ec072366ac93f75
SHA1: f207b82d3e7304ab716162ae99dae6afdfc226a3
SHA256: 104934f5b8fae18e815c2759d9ffb01a626722aec2cb93d23da3b16954c73687
SHA512: fced67863eef29baca2f0d7546cb04c87e8dc09b992a0e1a863d4a7bea74d5cdbe632ec2246605f77f50c3649d61ec6af268f0940ac708cbe492d1253454b945
Homepage: https://cran.r-project.org/package=microbial
Description: CRAN Package 'microbial' (Do 16s Data Analysis and Generate Figures)
 Provides functions to enhance the available statistical analysis procedures
 in R by providing simple functions to analysis and visualize the 16S rRNA
 data.Here we present a tutorial with minimum working examples to demonstrate
 usage and dependencies.

Package: r-cran-microbialgrowth
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlstools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-microbialgrowth_1.0.0-1.ca2004.1_all.deb
Size: 762780
MD5sum: c07bb0fead217fc8e9ec6da4ac851626
SHA1: 82a510d9550031bcfbe9ad5d29fec87bf0e137c5
SHA256: 7552d5a4060ede3cca22f0808990b2b5901fb3b948e1f0e61034f8c44fcafdad
SHA512: 39415cb089ede7af3416afcd97e2e9942572cd2436c922c04d4dd2cf15c9387c4ed708715afb938fbe66bbc10255f8df20ef2389306023b731d0f04e3f888144
Homepage: https://cran.r-project.org/package=MicrobialGrowth
Description: CRAN Package 'MicrobialGrowth' (Estimates Growth Parameters from Models and Plots the Curve)
 Fit growth curves to various known microbial growth models automatically to
 estimate growth parameters. Growth curves can be plotted with their
 uncertainty band. Growth models are: modified Gompertz model (Zwietering et
 al. (1990) <doi:10.1128/aem.56.6.1875-1881.1990>), Baranyi model (Baranyi
 and Roberts (1994) <doi:10.1016/0168-1605%2894%2990157-0>), Rosso model
 (Rosso et al. (1993) <doi:10.1006/jtbi.1993.1099>) and linear model
 (Dantigny (2005) <doi:10.1016/j.ijfoodmicro.2004.10.013>).

Package: r-cran-microbiomemqc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-vegan
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-microbiomemqc_1.0.2-1.ca2004.1_all.deb
Size: 20568
MD5sum: 50bfcad46a0229cef2e2203adf431297
SHA1: 1ea67a242e6c84e94357ea151a825776a12fda20
SHA256: bdaabfd674c85c00024cc6961228452a3eb1de4170421519516eb4fc5e419f22
SHA512: c47fa31d35005400aa5bdfb374dc23a18156cabbc17106110e6ea09187ac90c8f9762cc99a88354cc62d680ec152853f5601835fb5573973d8873f66a1a5300d
Homepage: https://cran.r-project.org/package=microbiomeMQC
Description: CRAN Package 'microbiomeMQC' (Calculate 4 Key Reporting Measures)
 Perform calculations for the WHO International Reference Reagents for the
 microbiome. Using strain, species or genera abundance tables generated
 through analysis of 16S ribosomal RNA sequencing or shotgun sequencing which
 included a reference reagent. This package will calculate measures of
 sensitivity, False positive relative abundance, diversity, and similarity
 based on mean average abundances with respect to the reference reagent.

Package: r-cran-microbiomesurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 888
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-survminer, r-cran-glmnet, r-cran-superpc, r-cran-lmtest, r-cran-gplots, r-cran-tidyr, r-cran-dplyr, r-bioc-microbiome, r-cran-pls
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-microbiomesurv_0.1.0-1.ca2004.1_all.deb
Size: 775228
MD5sum: 3db5644d76ed00fedb8094e9a75da07f
SHA1: ecf9987f9f672f8638f134c8f80fafd49f8f5e9d
SHA256: 46da6f63be16182721f460365d56076d0fa5a6a44c895ca1acb0997e92eeb97e
SHA512: 0434d7d232d81e68fdd11fc73218f83bd1a0ff2a6a83b315b01a8f58d78439f076d8a2c24b7b036d89bb25407314e83ad8108462e4e80b06a22adb8d3c0ef279
Homepage: https://cran.r-project.org/package=MicrobiomeSurv
Description: CRAN Package 'MicrobiomeSurv' (Biomarker Validation for Microbiome-Based SurvivalClassification and Prediction)
 An approach to identify microbiome biomarker for time to event data by
 discovering microbiome for predicting survival and classifying subjects into
 risk groups.  Classifiers are constructed as a linear combination of
 important microbiome and treatment effects if necessary.  Several methods
 were implemented to estimate the microbiome risk score such as the LASSO
 method by Robert Tibshirani (1998)
 <doi:10.1002/(SICI)1097-0258(19970228)16:4%3C385::AID-SIM380%3E3.0.CO;2-3>,
 Elastic net approach by Hui Zou and Trevor Hastie (2005)
 <doi:10.1111/j.1467-9868.2005.00503.x>, supervised principle component
 analysis of Wold Svante et al. (1987) <doi:10.1016/0169-7439(87)80084-9>,
 and supervised partial least squares analysis by Inge S. Helland
 <https://www.jstor.org/stable/4616159>.  Sensitivity analysis on the
 quantile used for the classification can also be accessed to check the
 deviation of the classification group based on the quantile specified. Large
 scale cross validation can be performed in order to investigate the mostly
 selected microbiome and for internal validation.  During the evaluation
 process, validation is accessed using the hazard ratios (HR) distribution of
 the test set and inference is mainly based on resampling and permutations
 technique.

Package: r-cran-microcontax
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2632
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-microseq
Filename: pool/dists/focal/main/r-cran-microcontax_1.2-1.ca2004.1_all.deb
Size: 2650996
MD5sum: 0bc2cd83cac6e8410084c1118b0f55c5
SHA1: c339409548c6b2834a92f552625df0a60132af22
SHA256: 20082099d1d181d4027da1fd1cbf86184b1b7f3835f9eaa617a594f73d48f46a
SHA512: dc72bc654b3f9dd30ea7247b8bbb197f4da0b4eef84211fafcb57dbd0c05ed6a754708f10bfeb35f06ad9916eb815f2e56ba693eabba7caa1eff4a159db8017a
Homepage: https://cran.r-project.org/package=microcontax
Description: CRAN Package 'microcontax' (The ConTax Data Package)
 The consensus taxonomy for prokaryotes is a set of data-sets for best
 possible taxonomic classification based on 16S rRNA sequence data.

Package: r-cran-microcran
Architecture: all
Version: 0.9.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-plumber, r-cran-assertthat, r-cran-mime, r-cran-xtable
Suggests: r-cran-minicran, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-microcran_0.9.0-1-1.ca2004.1_all.deb
Size: 72016
MD5sum: 287aaa7bf429744f4de98aea7b32f74d
SHA1: 4dacfce16e9dcac01557d81aa96d95fa8f051430
SHA256: 7d37d54d1375afe545217d300dce36cc6b884811264eb8b7c5dd9756c232c822
SHA512: a940405914e5966a453d2456522db57f930468ff5db45c24eb93ce6bbcfd4781b611e1500c656e5ce480673c69c9a227ee9704fa6e7d2de0a3c2c8186fde26c0
Homepage: https://cran.r-project.org/package=microCRAN
Description: CRAN Package 'microCRAN' (Hosting an Independent CRAN Repository)
 Stand-alone HTTP capable R-package repository, that fully supports R's
 install.packages() and available.packages().  It also contains API endpoints
 for end-users to add/update packages.  This package can supplement
 'miniCRAN', which has functions for maintaining a local (partial) copy of
 'CRAN'.  Current version is bare-minimum without any access-control or much
 security.

Package: r-cran-microdatasus
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1460
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-dtplyr, r-cran-foreign, r-cran-lubridate, r-cran-magrittr, r-cran-rcurl, r-cran-read.dbc, r-cran-rlang, r-cran-stringi, r-cran-tibble, r-cran-zip
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-microdatasus_2.3.1-1.ca2004.1_all.deb
Size: 1433004
MD5sum: 39987c693b98c6c68f142dbd7f2cae5a
SHA1: fdf5456295b45612f6f9d1dd6b9bcbc106ddd91a
SHA256: 6962d44bfbd5a48363f5d4ae1668194dad3bc6bef1d61bed8966071ab8a50c3d
SHA512: a73117926ec937ca599879c4ef41a938ceb3543abb0b2f9648002fcdabe944cb8552132ebad81fc7e415b65cf53630672d0cd2bb9d64253e4a1eeb2a177376df
Homepage: https://cran.r-project.org/package=microdatasus
Description: CRAN Package 'microdatasus' (Download and Process 'DataSUS' Files)
 Downloads data files from 'DataSUS' health information systems from
 <ftp.datasus.gov.br> and process the data, including labeling categorical
 variables.

Package: r-cran-microdatoses
Architecture: all
Version: 0.8.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 783
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr
Filename: pool/dists/focal/main/r-cran-microdatoses_0.8.15-1.ca2004.1_all.deb
Size: 130312
MD5sum: 9023aea2d2f1ef0f1c99cb834b54d691
SHA1: f64f06a7930825fca4eef970d59c9feee21032a5
SHA256: bf6c943d3bb4629c1eaccb5f18283590137bbcd188c420cbc242f385014fa3d6
SHA512: ce2d60ecad0aebb02272eca58aba8f7e5f41c9d69d190ede64e25412766bf9b2f25f9e4407a9d6df2a20d6c216d903436669d57c8a034288c842e9a86118e329
Homepage: https://cran.r-project.org/package=MicroDatosEs
Description: CRAN Package 'MicroDatosEs' (Utilities for Official Spanish Microdata)
 Provides utilities for reading and processing microdata from Spanish
 official statistics with R.

Package: r-cran-microdemic
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-data.table, r-cran-tibble, r-cran-httpcode
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-microdemic_0.6.0-1.ca2004.1_all.deb
Size: 39356
MD5sum: f3283f3e7babf6a98576627d3a7089e8
SHA1: 655097d0a62926c0ea28197a40046cd39f145497
SHA256: 0fa8a69c8172d4fe680e66e35f3b3d969033fff92652a5369f245d0cf06e15c9
SHA512: 5164a6b64411a8c82abf612c489005553436188cb93be80d9f5af937776ca86e1927b38a129a6b9bebca1baf895e2ce5550fe0cf635c89bbe59a8b2829127fe7
Homepage: https://cran.r-project.org/package=microdemic
Description: CRAN Package 'microdemic' ('Microsoft Academic' API Client)
 The 'Microsoft Academic Knowledge' API provides programmatic access to
 scholarly articles in the 'Microsoft Academic Graph'
 (<https://academic.microsoft.com/>). Includes methods matching all
 'Microsoft Academic' API routes, including search, graph search, text
 similarity, and interpret natural language query string.

Package: r-cran-microdiluter
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggh4x, r-cran-ggplot2, r-cran-ggthemes, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rstatix, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-microdiluter_1.0.1-1.ca2004.1_all.deb
Size: 193136
MD5sum: bc1a5f6f1dc4290d44771645c6fb31da
SHA1: f0d17ab9973a60ffea41af72260fd243801b7913
SHA256: b821df50aa4efd0688913042290b4976ba84dd1871645c62de01c298e3e8e277
SHA512: a7bf88db720dcf6f07856281e07ef5d0e807b209a91f0666d6bd5597f44ce30aa86ffdf3998126e55374c36a6f836c2f246342bd78e40cc970a8ce55121a3541
Homepage: https://cran.r-project.org/package=microdiluteR
Description: CRAN Package 'microdiluteR' (Analysis of Broth Microdilution Assays)
 A framework for analyzing broth microdilution assays in various 96-well
 plate designs, visualizing results and providing descriptive and (simple)
 inferential statistics (i.e. summary statistics and sign test). The
 functions are designed to add metadata to 8 x 12 tables of absorption
 values, creating a tidy data frame. Users can choose between clean-up
 procedures via function parameters (which covers most cases) or user prompts
 (in cases with complex experimental designs). Users can also choose between
 two validation methods, i.e. exclusion of absorbance values above a certain
 threshold or manual exclusion of samples. A function for visual inspection
 of samples with their absorption values over time for certain group
 combinations helps with the decision. In addition, the package includes
 functions to subtract the background absorption (usually at time T0) and to
 calculate the growth performance compared to a baseline.  Samples can be
 visually inspected with their absorption values displayed across time points
 for specific group combinations. Core functions of this package (i.e.
 background subtraction, sample validation and statistics) were inspired by
 the manual calculations that were applied in Tewes and Muller (2020)
 <doi:10.1038/s41598-020-67600-7>.

Package: r-cran-microeco
Architecture: all
Version: 1.15.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3604
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-ape, r-cran-vegan, r-cran-rlang, r-cran-data.table, r-cran-magrittr, r-cran-dplyr, r-cran-tibble, r-cran-scales, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-igraph, r-cran-lifecycle
Suggests: r-cran-gunifrac, r-cran-mass, r-cran-ggpubr, r-cran-randomforest, r-cran-ggdendro, r-cran-ggrepel, r-cran-agricolae, r-cran-gridextra, r-cran-picante, r-cran-pheatmap, r-cran-rgexf, r-cran-mice, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-microeco_1.15.0-1.ca2004.1_all.deb
Size: 3556532
MD5sum: 484415e0e7507e75c6f124b34e869708
SHA1: 84ec4d1a790c53730ae949771f23a1a9e2588caf
SHA256: 5af640ca7f226ad5e45379c518ff81cefe251c2391b1be1461d573c4da2329a3
SHA512: 19a625136d0f22601b7fc44514b7a5f7293db05132cd037315e0e83f8aa24ccf4837211d23e50a545aeaf8da7f4c0f3733447a98b8f879846671187bea19a5f3
Homepage: https://cran.r-project.org/package=microeco
Description: CRAN Package 'microeco' (Microbial Community Ecology Data Analysis)
 A series of statistical and plotting approaches in microbial community
 ecology based on the R6 class. The classes are designed for data
 preprocessing, taxa abundance plotting, alpha diversity analysis, beta
 diversity analysis, differential abundance test, null model analysis,
 network analysis, machine learning, environmental data analysis and
 functional analysis.

Package: r-cran-microhaplot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1892
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dt, r-cran-dplyr, r-cran-ggplot2, r-cran-gtools, r-cran-magrittr, r-cran-scales, r-cran-shiny, r-cran-shinybs, r-cran-tidyr, r-cran-shinywidgets, r-cran-ggiraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-microhaplot_1.0.1-1.ca2004.1_all.deb
Size: 1048204
MD5sum: bc9c83698950a474885da5927b750c3f
SHA1: 7137fe663b9217e7bc5129879da1e8ed678f5433
SHA256: 4bd214dab244610cb5502b3a1940057d7f00db723881278fd15249f5e3a03a6c
SHA512: 71a2317540fb7a3c1d77d8d51415d10ff8b63bf6852b8bd5d2a15d5eb873bf7749fcd5349230b2c1c9b97f0aac37b5f7f7d3312945db00df6b072c5f2ac8c810
Homepage: https://cran.r-project.org/package=microhaplot
Description: CRAN Package 'microhaplot' (Microhaplotype Constructor and Visualizer)
 A downstream bioinformatics tool to construct and assist curation of
 microhaplotypes from short read sequences.

Package: r-cran-microinverterdata
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-units
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-lubridate, r-cran-pins, r-cran-rmarkdown, r-cran-tibble, r-cran-tsibble, r-cran-imputets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-microinverterdata_0.4.0-1.ca2004.1_all.deb
Size: 882260
MD5sum: a899628e447aa99dfef96be3a610134a
SHA1: e3700efdcf727d80b6ee6d319019b3ec56f4d1fb
SHA256: 8437ad663fbfe181f662413d74682a779d3c52c6dc0fe34bf78a55ee671e05bf
SHA512: 314e234945ff5df817be17cb2c95441b0640d2f0490298984d57af98ceb8c62be47813131937aa145039a486802a87cc9287cf19cfaf97d3c1c4ea18732cb2c5
Homepage: https://cran.r-project.org/package=microinverterdata
Description: CRAN Package 'microinverterdata' (Collect your Microinverter Data)
 Collect and normalize local microinverter energy and power production data
 through off-cloud API requests. Currently supports 'APSystems', 'Enphase',
 and 'Fronius' microinverters.

Package: r-cran-micromacromultilevel
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-micromacromultilevel_0.4.0-1.ca2004.1_all.deb
Size: 47268
MD5sum: 82fa7dddb265b51b64a3f954cfe7eac8
SHA1: f577b666be9cdd06839208ce67e8cf11cad52e47
SHA256: ec616edc129b6dbd8c7083e2c58e2f11be0dee289eaf88b8624602356450240c
SHA512: 74d6cc9ab96f61b58c1b93fed953409290ef0ffbace1084d8801b5a85ebb84a07d497c942999b54be80a87b0269c1113c5aeadf1402830214285cc0e5c4f1d21
Homepage: https://cran.r-project.org/package=MicroMacroMultilevel
Description: CRAN Package 'MicroMacroMultilevel' (Micro-Macro Multilevel Modeling)
 Most multilevel methodologies can only model macro-micro multilevel
 situations in an unbiased way, wherein group-level predictors (e.g., city
 temperature) are used to predict an individual-level outcome variable (e.g.,
 citizen personality). In contrast, this R package enables researchers to
 model micro-macro situations, wherein individual-level (micro) predictors
 (and other group-level predictors) are used to predict a group-level (macro)
 outcome variable in an unbiased way.

Package: r-cran-micromap
Architecture: all
Version: 1.9.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1752
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-sp, r-cran-sf, r-cran-ggplot2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-micromap_1.9.10-1.ca2004.1_all.deb
Size: 1345628
MD5sum: 010a124cd79bd63dc16c7224d19d43d6
SHA1: 145a44ce6bc3551b005d398e833b16c9dd95ef56
SHA256: a4e30b25108f8aac92eea01dd22c89679ab4d6b6f0f80fbcf7e75eddb1eb7d43
SHA512: 357d2cdc6ec5ed787e8ea4ed9a40896587d90d8fb0e767e96cf85615b0e67f9a2a907a1b06fff0631aa7868cef9f3dfa1f6c201dc342d6a29d1ba6bd40e37b4c
Homepage: https://cran.r-project.org/package=micromap
Description: CRAN Package 'micromap' (Linked Micromap Plots)
 This group of functions simplifies the creation of linked micromap plots.
 Please see <https://www.jstatsoft.org/v63/i02/> for additional details.

Package: r-cran-micromapst
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3679
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-rcolorbrewer, r-cran-labeling, r-cran-sf, r-cran-spdep, r-cran-rmapshaper, r-cran-readxl, r-cran-writexl
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-micromapst_3.1.1-1.ca2004.1_all.deb
Size: 3101708
MD5sum: 286f353b97105a85545cd5c5c6745aca
SHA1: fd5eef63c00bf6d9b351e899d2d07d0a324a9087
SHA256: 4699b44c4a401bfab90730123da378752d73e5edde658d63555535fd5afde0e7
SHA512: beba6bf0b45d7ddb38a977349f9897840018a6e8c467b929381715d0eaec5ba10ffb8a53b8df2967b299d7b390f2b65a4c9498afa2845db823634459dee2c455
Homepage: https://cran.r-project.org/package=micromapST
Description: CRAN Package 'micromapST' (Linked Micromap Plots for U. S. and Other Geographic Areas)
 Provides the users with the ability to quickly create linked micromap plots
 for a collection of geographic areas. Linked micromap plots are
 visualizations of geo-referenced data that link statistical graphics to an
 organized series of small maps or graphic images.  The Help description
 contains examples of how to use the 'micromapST' function. Contained in this
 package are border group datasets to support creating linked micromap plots
 for the 50 U.S. states and District of Columbia (51 areas), the U. S. 20
 Seer Registries, the 105 counties in the state of Kansas, the 62 counties of
 New York, the 24 counties of Maryland, the 29 counties of Utah, the 32
 administrative areas in China, the 218 administrative areas in the UK and
 Ireland (for testing only), the 25 districts in the city of Seoul South
 Korea, and the 52 counties on the Africa continent.  A border group dataset
 contains the boundaries related to the data level areas, a second layer
 boundaries, a top or third layer boundary, a parameter list of run options,
 and a cross indexing table between area names, abbreviations, numeric
 identification and alias matching strings for the specific geographic area.
 By specifying a border group, the package create linked micromap plots for
 any geographic region.  The user can create and provide their own border
 group dataset for any area beyond the areas contained within the package
 with the 'BuildBorderGroup' function. In April of 2022, it was announced
 that 'maptools', 'rgdal', and 'rgeos' R packages would be retired in middle
 to end of 2023 and removed from the CRAN libraries.  The 'BuildBorderGroup'
 function was dependent on these packages.  'micromapST' functions were not
 impacted by the retired R packages.  Upgrading of 'BuildBorderGroup'
 function was completed and released with version 3.0.0 on August 10, 2023
 using the 'sf' R package.  References: Carr and Pickle, Chapman and
 Hall/CRC, Visualizing Data Patterns with Micromaps, CRC Press, 2010. Pickle,
 Pearson, and Carr (2015), micromapST: Exploring and Communicating Geospatial
 Patterns in US State Data., Journal of Statistical Software, 63(3), 1-25.,
 <https://www.jstatsoft.org/v63/i03/>.  Copyrighted 2013, 2014, 2015, 2016,
 2022, 2023, 2024, and 2025 by Carr, Pearson and Pickle.

Package: r-cran-micromodal
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools
Suggests: r-cran-bslib, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-micromodal_1.0.0-1.ca2004.1_all.deb
Size: 27652
MD5sum: f011d12fd7bff60e77d19a4796e33154
SHA1: 664eb07001978806faf3363bd0fd0ddf4ff5fe01
SHA256: 968fe3c7754d9765ca52e75fdeac724b7cae9ea7137139fe115c30f1be661d68
SHA512: 0c871f15aab9bc490bab7623c5f96a4141b92a609e8930134b52a6bbe8ecc41e0569504053365a46d774c8ae8cca6821c272f3440f466ee0bab228a1201723e8
Homepage: https://cran.r-project.org/package=micromodal
Description: CRAN Package 'micromodal' (Create Simple and Elegant Modal Dialogs in 'shiny')
 Enables you to create accessible modal dialogs, with confidence and with
 minimal configuration.

Package: r-cran-microniche
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-microniche_1.0.0-1.ca2004.1_all.deb
Size: 80364
MD5sum: a4f6b220f7ca6efdf320591a1ff39a87
SHA1: 4641152e24c52ebb25534cd8e3956e18d10453c2
SHA256: fd722227f0d54f86e9aa68bbf88c86af798fc30b201574b1c0f87041ced87b00
SHA512: 941134415e6abf8345ec79cfd139abf66ac7da3fe9fdb9fddbf008da0e7647c79b0d3d555d93719a396e8bae62798b1c8b25b9fb19d5cfbfaaf279df69a40960
Homepage: https://cran.r-project.org/package=MicroNiche
Description: CRAN Package 'MicroNiche' (Microbial Niche Measurements)
 Measures niche breadth and overlap of microbial taxa from large matrices.
 Niche breadth measurements include Levins' niche breadth (Bn) index,
 Hurlbert's Bn and Feinsinger's proportional similarity (PS) index.
 (Feinsinger, P., Spears, E.E., Poole, R.W. (1981) <doi:10.2307/1936664>).
 Niche overlap measurements include Levin's Overlap (Ludwig, J.A. and
 Reynolds, J.F. (1988, ISBN:0471832359)) and a Jaccard similarity index of
 Feinsinger's PS values between taxa pairs, as Proportional Overlap.

Package: r-cran-micronutr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 560
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-micronutr_0.1.1-1.ca2004.1_all.deb
Size: 428556
MD5sum: f9e14baef4f631710cd145e5d12b41dc
SHA1: 2e45f12603afbc69d4fec6b0781399c3839384f3
SHA256: 54e994c20c2599178193776e98009691c6cb5d07533cd4ea01980e4805960680
SHA512: 1ab409fbac4eb9b4c8b85e8b660fbcaa3a7e8869571da8c3a3d6cfd0041ef8ee57aabbe2f2e1ca45be974b8babbfb6dd6211b7ae05eeabce4c3818f5985f801a
Homepage: https://cran.r-project.org/package=micronutr
Description: CRAN Package 'micronutr' (Determining Vitamin and Mineral Status of Populations)
 Vitamin and mineral deficiencies continue to be a significant public health
 problem. This is particularly critical in developing countries where
 deficiencies to vitamin A, iron, iodine, and other micronutrients lead to
 adverse health consequences. Cross-sectional surveys are helpful in
 answering questions related to the magnitude and distribution of
 deficiencies of selected vitamins and minerals. This package provides tools
 for calculating and determining select vitamin and mineral deficiencies
 based on World Health Organization (WHO) guidelines found at
 <https://www.who.int/teams/nutrition-and-food-safety/databases/vitamin-and-mineral-nutrition-information-system>.

Package: r-cran-micropan
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1715
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-microseq, r-cran-dplyr, r-cran-stringr, r-cran-igraph, r-cran-tibble, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-micropan_2.1-1.ca2004.1_all.deb
Size: 1704372
MD5sum: 881d2a2a28d779b58dc226c6d3954300
SHA1: 00a8c75181f8620a28e0a3d24bf7511a12b2bf24
SHA256: caa5d1ae6cb7b9203ccf9f50646954c5dde83d1550f11b1495a3255dac787e37
SHA512: 78744873308a68834ebbf62eb9082ae63a6f640036677729f219d067f989ea4cfab104b9d6f2e2229cfcd9df566a3aedfd276d840c5116e91cf66d04d3621991
Homepage: https://cran.r-project.org/package=micropan
Description: CRAN Package 'micropan' (Microbial Pan-Genome Analysis)
 A collection of functions for computations and visualizations of microbial
 pan-genomes.

Package: r-cran-microplot
Architecture: all
Version: 1.0-45-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 713
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-hh, r-cran-lattice, r-cran-flextable, r-cran-officer, r-cran-ggplot2, r-cran-htmltools, r-cran-cowplot
Suggests: r-cran-reshape2, r-cran-latticeextra, r-cran-xtable, r-cran-markdown, r-cran-rmarkdown, r-cran-knitr, r-cran-htmltable
Filename: pool/dists/focal/main/r-cran-microplot_1.0-45-1.ca2004.1_all.deb
Size: 487732
MD5sum: e6b0986d4d8949109dedf11c410997e9
SHA1: d9181d7969ff5141e883fb95acb639d850490a31
SHA256: 6d0544ac4d70297f1f3f53b08a43c37204963ed2fb1c58bd4606fd978d03a8d9
SHA512: bfa08e34c46b083959348b5216e2e2e70590b132a50ef55e0e63b66e7305f71ed8bdc1eeda07fdf72647debc99b076d6f61fa3749110934bc40aa09903c5d8a9
Homepage: https://cran.r-project.org/package=microplot
Description: CRAN Package 'microplot' (Microplots (Sparklines) in 'LaTeX', 'Word', 'HTML', 'Excel')
 The microplot function writes a set of R graphics files to be used as
 microplots (sparklines) in tables in either 'LaTeX', 'HTML', 'Word', or
 'Excel' files.  For 'LaTeX', we provide methods for the Hmisc::latex()
 generic function to construct 'latex' tabular environments which include the
 graphs.  These can be used directly with the operating system 'pdflatex' or
 'latex' command, or by using one of 'Sweave', 'knitr', 'rmarkdown', or
 'Emacs org-mode' as an intermediary.  For 'MS Word', the msWord() function
 uses the 'flextable' package to construct 'Word' tables which include the
 graphs.  There are several distinct approaches for constructing HTML files.
 The simplest is to use the msWord() function with argument filetype="html".
 Alternatively, use either 'Emacs org-mode' or the htmlTable::htmlTable()
 function to construct an 'HTML' file containing tables which include the
 graphs.  See the documentation for our as.htmlimg() function.  For 'Excel'
 use on 'Windows', the file examples/irisExcel.xls includes 'VBA' code which
 brings the individual panels into individual cells in the spreadsheet.
 Examples in the examples and demo subdirectories are shown with 'lattice'
 graphics, 'ggplot2' graphics, and 'base' graphics.  Examples for 'LaTeX'
 include 'Sweave' (both 'LaTeX'-style and 'Noweb'-style), 'knitr', 'emacs
 org-mode', and 'rmarkdown' input files and their 'pdf' output files.
 Examples for 'HTML' include 'org-mode' and 'Rmd' input files and their
 webarchive 'HTML' output files.  In addition, the as.orgtable() function can
 display a data.frame in an 'org-mode' document.  The examples for 'MS Word'
 (with either filetype="docx" or filetype="html") work with all operating
 systems.  The package does not require the installation of 'LaTeX' or 'MS
 Word' to be able to write '.tex' or '.docx' files.

Package: r-cran-micropop
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-visnetwork, r-cran-testthat
Suggests: r-cran-rmarkdown, r-cran-r.rsp, r-cran-knitr, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-micropop_1.6-1.ca2004.1_all.deb
Size: 831040
MD5sum: 0f40267663ff85b5f052d0de20c2ed45
SHA1: 3d3e6838364f95c7a82b1429b86fe156b365cf52
SHA256: 2b55a21e328ea089c2e46520dac2988cfcfe033f531216e171153cad15c3502d
SHA512: ea2252c86fba5fab6c8034d096149d11e5253177d1f7cb580b2ee472accd5f8bf26361a75d4f60ebc9dff414243f60ad44399b048a38ff68bb20a355985a0cab
Homepage: https://cran.r-project.org/package=microPop
Description: CRAN Package 'microPop' (Process-Based Modelling of Microbial Populations)
 Modelling interacting microbial populations - example applications include
 human gut microbiota, rumen microbiota and phytoplankton. Solves a system of
 ordinary differential equations to simulate microbial growth and resource
 uptake over time. This version contains network visualisation functions.

Package: r-cran-microsec
Architecture: all
Version: 2.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2682
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-genomeinfodb, r-bioc-biocgenerics
Suggests: r-bioc-bsgenome.hsapiens.ucsc.hg38, r-cran-knitr, r-cran-rmarkdown, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-bioc-bsgenome.mmusculus.ucsc.mm10
Filename: pool/dists/focal/main/r-cran-microsec_2.1.6-1.ca2004.1_all.deb
Size: 2599976
MD5sum: e616411c03d1fb903db18386de815530
SHA1: 8389558dbbf61a48e6c1bf17e3c05ca2d5d2d7ee
SHA256: 926db7290e9c82fee9c88edcaa37e4c90e385142c7dc6805a1659a9785eb4884
SHA512: 5b3203008c7d8eaf5f7691dd91ffcb1a4432b48557f5aa0f2a703d358c2fe5d3f41742f7a3b45be5e8294cfc83bea4b1b1cac609b3824d0d4eaef514a0436f86
Homepage: https://cran.r-project.org/package=MicroSEC
Description: CRAN Package 'MicroSEC' (Sequence Error Filter for Formalin-Fixed and Paraffin-EmbeddedSamples)
 Clinical sequencing of tumor is usually performed on formalin-fixed and
 paraffin-embedded samples and have many sequencing errors. We found that the
 majority of these errors are detected in chimeric read caused by
 single-strand DNA with micro-homology. Our filtering pipeline focuses on the
 uneven distribution of the artifacts in each read and removes such errors in
 formalin-fixed and paraffin-embedded samples without over-eliminating the
 true mutations detected in fresh frozen samples.

Package: r-cran-microservices
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-config, r-cran-desc, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-purrr, r-cran-withr
Suggests: r-cran-future, r-cran-httptest, r-cran-httr, r-cran-jsonlite, r-cran-pkgload, r-cran-plumber, r-cran-promises, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-microservices_0.2.0-1.ca2004.1_all.deb
Size: 36600
MD5sum: a8b03add3f0a8010cfedb0d8a2842fa5
SHA1: 91770f35d23c0fd083ad3e3c534f2afd096d13ac
SHA256: 2582b41350ddfbbcb4dcd1b3781b8177d9625e814588c47361c8042578bbeca8
SHA512: fd5fa811600cc715a0036f4b539f86a64670a0565a702ed052e3ccd3d09f4c1d393213e963beb0dfff24c50150045a7a63cd7e87ba07e2037de42136acc12f71
Homepage: https://cran.r-project.org/package=microservices
Description: CRAN Package 'microservices' (Breakdown a Monolithic Application to a Suite of Services)
 'Microservice' architectural style is an approach to developing a single
 application as a suite of small services, each running in its own process
 and communicating with lightweight mechanisms, often an 'HTTP' resource
 'API'. These services are built around business capabilities and
 independently deployable by fully automated deployment machinery. There is a
 bare minimum of centralized management of these services, which may be
 written in different programming languages and use different data storage
 technologies.

Package: r-cran-microsoft365r
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-azureauth, r-cran-azuregraph, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-vctrs, r-cran-mime
Suggests: r-cran-openssl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-blastula, r-cran-emayili, r-cran-readr, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-microsoft365r_2.4.1-1.ca2004.1_all.deb
Size: 786920
MD5sum: cbe9cf02d988930ec92f2b65861759e9
SHA1: 7c3bcd0c1d2561a40a6246bcdcb7117569f3dd07
SHA256: 711b71a183a67df9484a31cf66d67c26b2b0c3e6f4ccd9c70cf9d46a71977b8a
SHA512: 7c805e052b81438b46760e46a16e2ef7f13e5b88aaafee32f0ff0e5040d1a4ad48e64352a5cf8768b1c2ef250215f855543a2b0779380aeaf84c6b3c7cb6f655
Homepage: https://cran.r-project.org/package=Microsoft365R
Description: CRAN Package 'Microsoft365R' (Interface to the 'Microsoft 365' Suite of Cloud Services)
 An interface to the 'Microsoft 365' (formerly known as 'Office 365') suite
 of cloud services, building on the framework supplied by the 'AzureGraph'
 package. Enables access from R to data stored in 'Teams', 'SharePoint
 Online' and 'OneDrive', including the ability to list drive folder contents,
 upload and download files, send messages, and retrieve data lists. Also
 provides a full-featured 'Outlook' email client, with the ability to send
 emails and manage emails and mail folders.

Package: r-cran-microstasis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-fmsb, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-ggside, r-cran-progressr, r-cran-reshape2, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-microstasis_0.1.0-1.ca2004.1_all.deb
Size: 167544
MD5sum: 52e29009e83f39457e505fb16599b4f2
SHA1: d7d16fc1f45aefdca63d2f38d12f9ca427df6b77
SHA256: 45dc8dda09f5b7f07d2158dfb6b1d5a06f792c91f69dd1ac4b51cf09c12e5478
SHA512: 7af87a0802707406cbfc849e781f7ff7938f7fef967b133dd259ce62df3a07bae9aa5f0f6dc436d9045ac50b55cd1cb00d2f06806e4febcce98d2ed7e12bf944
Homepage: https://cran.r-project.org/package=microSTASIS
Description: CRAN Package 'microSTASIS' (Microbiota STability ASsessment via Iterative cluStering)
 The toolkit 'µSTASIS' has been developed for the stability analysis of
 microbiota in a temporal framework by leveraging on iterative clustering.
 Concretely, the core function uses Hartigan-Wong k-means algorithm as many
 times as possible for stressing out paired samples from the same individuals
 to test if they remain together for multiple numbers of clusters over a
 whole data set of individuals. Moreover, the package includes multiple
 functions to subset samples from paired times, validate the results or
 visualize the output.

Package: r-cran-microsynth
Architecture: all
Version: 2.0.51-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3207
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-kernlab, r-cran-lowrankqp, r-cran-pracma
Suggests: r-cran-mass, r-cran-xlsx, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-microsynth_2.0.51-1.ca2004.1_all.deb
Size: 2281416
MD5sum: 42fff313e9f1532e2bc423111cc9b38e
SHA1: d9e7adbe53f0972b66d4b7ad9729f494a1c58324
SHA256: 7780d88ea6ee0e53b2ad6dc330d99f01595c7eb11698589f5c9375d49d63d396
SHA512: 0236914cc5ee0789d2aaf450b3266f4d8fbba3eccad9bc4247eeab78a5b5870a952dd484244b99bc5ef129c081ac4aa4a6f4a8d4cae3abcbe6ef369f7d14e5dc
Homepage: https://cran.r-project.org/package=microsynth
Description: CRAN Package 'microsynth' (Synthetic Control Methods with Micro- And Meso-Level Data)
 A generalization of the 'Synth' package that is designed for data at a more
 granular level (e.g., micro-level).  Provides functions to construct weights
 (including propensity score-type weights) and run analyses for synthetic
 control methods with micro- and meso-level data; see Robbins, Saunders, and
 Kilmer (2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport
 (2021) <doi:10.18637/jss.v097.i02>.

Package: r-cran-micsim
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-snowfall, r-cran-rlecuyer
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-glue
Filename: pool/dists/focal/main/r-cran-micsim_2.0.1-1.ca2004.1_all.deb
Size: 467592
MD5sum: 125c7b5c3ad7117d2197c1f13d7ab256
SHA1: a1e23ce11127a354dec57b92802235407a6d8b5e
SHA256: 97a90378dc23eb4e2d302aeff6578178466c4daa62c8e617a1aadfdd6f73e7eb
SHA512: 8322a25d9417de8b527b519b9ef6ffba905209e13a1f605411ef62a651649b703206bed6d60303fe46023401ff4343dda2855e6d55fa147f6ca45fc69c29ae5b
Homepage: https://cran.r-project.org/package=MicSim
Description: CRAN Package 'MicSim' (Performing Continuous-Time Microsimulation)
 This toolkit allows performing continuous-time microsimulation for a wide
 range of life science (demography, social sciences, epidemiology)
 applications. Individual life-courses are specified by a continuous-time
 multi-state model as described in Zinn (2014) <doi:10.34196/IJM.00105>.

Package: r-cran-micss
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-micss_0.2.0-1.ca2004.1_all.deb
Size: 165852
MD5sum: 02406fd5d3f8d6860a1ea81c948f79e1
SHA1: e87433e31f957362081a0a339597783ac52400d4
SHA256: 8fe2a5634075d1f5b78cfe16660ae7ab55e2253ab06f05a260db98af0fe9be86
SHA512: ef0bf6a455d39d18e249285f2cbc2d8931cd3b32ac39ca369981a5977349af233e6df0252fa2f2b04ebbaeb8580a5a283186d9dd357fd470f23d5572b98e07e0
Homepage: https://cran.r-project.org/package=micss
Description: CRAN Package 'micss' (Modified Iterative Cumulative Sum of Squares Algorithm)
 Companion package of Carrion-i-Silvestre & Sansó (2023): "Generalized
 Extreme Value Approximation to the CUMSUMQ Test for Constant Unconditional
 Variance in Heavy-Tailed Time Series". It implements the Modified Iterative
 Cumulative Sum of Squares Algorithm, which is an extension of the Iterative
 Cumulative Sum of Squares (ICSS) Algorithm of Inclan and Tiao (1994), and it
 checks for changes in the unconditional variance of a time series
 controlling for the tail index of the underlying distribution. The fourth
 order moment is estimated non-parametrically to avoid the size problems when
 the innovations are non-Gaussian (see, Sansó et al., 2004).  Critical values
 and p-values are generated using a Generalized Extreme Value distribution
 approach.  References Carrion-i-Silvestre J.J & Sansó A (2023)
 <https://www.ub.edu/irea/working_papers/2023/202309.pdf>.  Inclan C & Tiao
 G.C (1994) <doi:10.1080/01621459.1994.10476824>, Sansó A & Aragó V &
 Carrion-i-Silvestre J.L (2004)
 <https://dspace.uib.es/xmlui/bitstream/handle/11201/152078/524035.pdf>.

Package: r-cran-mida
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-gbm, r-bioc-genefilter, r-bioc-limma, r-bioc-preprocesscore, r-cran-proc, r-cran-sqn
Filename: pool/dists/focal/main/r-cran-mida_0.1.2-1.ca2004.1_all.deb
Size: 152272
MD5sum: a8bcc9cdf7de696980db566a4fda8319
SHA1: 31911fe06ca880a9df617c5cbdfab8397d95abf3
SHA256: 59e0b1db460dc16fc5d42f84d03c4c61d4adc03590ff4e495ee78ba6b5b6dd08
SHA512: 39417fddc73d5d660095ab81694035d5011054f6cbe7b88a46efb38df2bb2ccacb57a02491799d52ae8b18af563384310e831f8eb924eac42a2a7875455ee63b
Homepage: https://cran.r-project.org/package=MiDA
Description: CRAN Package 'MiDA' (Microarray Data Analysis)
 Set of functions designed to simplify transcriptome analysis and
 identification of marker molecules using microarrays data. The package
 includes a set of functions that allows performing full pipeline of analysis
 including data normalization, summarisation, binary classification, FDR
 (False Discovery Rate) multiple comparison and the definition of potential
 biological markers.

Package: r-cran-midas2
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mcmcpack, r-cran-coda, r-cran-r2jags
Filename: pool/dists/focal/main/r-cran-midas2_1.1.0-1.ca2004.1_all.deb
Size: 47636
MD5sum: 0a375b57e34e30cc95b654007bde9fe2
SHA1: de7d2a2959698ecff383d4b06611aac3b35ec0b5
SHA256: 4409eebd6b5735f04f43255067f8ca12976787944fe043d75d01bd169232826a
SHA512: 413abd55ae60c444ba3e6315262cdd3ffd60de38a735e424def524d931870cff6dd6a5bf1cda5b74261b5dea5f69ed6119bbd7f6977a2da5c98810ad25d0a546
Homepage: https://cran.r-project.org/package=midas2
Description: CRAN Package 'midas2' (Bayesian Platform Design with Subgroup EfficacyExploration(MIDAS-2))
 The rapid screening of effective and optimal therapies from large numbers of
 candidate combinations, as well as exploring subgroup efficacy, remains
 challenging, which necessitates innovative, integrated, and efficient trial
 designs(Yuan, Y., et al. (2016) <doi:10.1002/sim.6971>). MIDAS-2 package
 enables quick and continuous screening of promising combination strategies
 and exploration of their subgroup effects within a unified platform design
 framework. We used a regression model to characterize the efficacy pattern
 in subgroups. Information borrowing was applied through Bayesian
 hierarchical model to improve trial efficiency considering the limited
 sample size in subgroups(Cunanan, K. M., et al. (2019)
 <doi:10.1177/1740774518812779>). MIDAS-2 provides an adaptive drug screening
 and subgroup exploring framework to accelerate immunotherapy development in
 an efficient, accurate, and integrated fashion(Wathen, J. K., & Thall, P. F.
 (2017) <doi: 10.1177/1740774517692302>).

Package: r-cran-midas
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-midas_1.0.1-1.ca2004.1_all.deb
Size: 13936
MD5sum: 3bef58cfb94237f3f7e6c6332c2647d7
SHA1: a7dbbd30d3c3247ad6a5ad8ebe57092f3ee6df91
SHA256: 5e736ea0b2649b30d7336d25c75bd868c3aef96770160c74625723c71d2152a5
SHA512: dd3aad6feba2f62e145a6d4eddea49549fc34bb9bd6fa2cc1a9912a85fcba42e10a81ad0c9e1ea8d8dfe8d66d28aaee1ff7beb941a3d58ed71b6c2d6be8ed29b
Homepage: https://cran.r-project.org/package=midas
Description: CRAN Package 'midas' (Turn HTML 'Shiny')
 Contains functions for converting existing HTML/JavaScript source into
 equivalent 'shiny' functions. Bootstraps the process of making new 'shiny'
 functions by allowing us to turn HTML snippets directly into R functions.

Package: r-cran-midasr
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1315
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sandwich, r-cran-optimx, r-cran-quantreg, r-cran-mass, r-cran-numderiv, r-cran-matrix, r-cran-forecast, r-cran-zoo, r-cran-formula, r-cran-texreg
Suggests: r-cran-testthat, r-cran-lubridate, r-cran-xts
Filename: pool/dists/focal/main/r-cran-midasr_0.9-1.ca2004.1_all.deb
Size: 918844
MD5sum: 7b90bb498ab9a1e9f8768ca9b90fdd47
SHA1: bf322485ceac9a2cdad609c0e5dd3127b503bef5
SHA256: 35f9deefb14667def56120d358725dcdf2d9a7dd9538fb63809e901e0b1bff41
SHA512: 6afceee3d1debca55969fdc16eedd13c7bf2008b29915c0162b450d2de636acafcd682c546ab61958b545b11875dd2ca929a6be800f46a5bb137a55edf188625
Homepage: https://cran.r-project.org/package=midasr
Description: CRAN Package 'midasr' (Mixed Data Sampling Regression)
 Methods and tools for mixed frequency time series data analysis.  Allows
 estimation, model selection and forecasting for MIDAS regressions.

Package: r-cran-midastouch
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mice
Filename: pool/dists/focal/main/r-cran-midastouch_1.3-1.ca2004.1_all.deb
Size: 22016
MD5sum: 92b88b13bc512a53adcb79d8b1aadb16
SHA1: 9827e18463b6991d52caa72b8ca14338f2540dd7
SHA256: 434834b5afeb4431cc375736b78cc3e3208a93f8bf37a4564a02fb26121e23ee
SHA512: d472980ca4ce80488eff8aa4a6487cf3428df5602f33d74663247b1d1f1471236f6d2657866bdd027921b1a8777ade68e7e8b6af56bab0783128abb4fb08d6c4
Homepage: https://cran.r-project.org/package=midastouch
Description: CRAN Package 'midastouch' (Multiple Imputation by Distance Aided Donor Selection)
 Contains the function mice.impute.midastouch(). Technically this function is
 to be run from within the 'mice' package (van Buuren et al. 2011), type
 ??mice. It substitutes the method 'pmm' within mice by 'midastouch'. The
 authors have shown that 'midastouch' is superior to default 'pmm'. Many
 ideas are based on Siddique / Belin 2008's MIDAS.

Package: r-cran-midfieldr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3406
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-wrapr
Suggests: r-cran-ggplot2, r-cran-here, r-cran-kableextra, r-cran-knitr, r-cran-mice, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-midfieldr_1.0.2-1.ca2004.1_all.deb
Size: 2359128
MD5sum: 4845d429abc153aaa50abe33df78868e
SHA1: d8236f5e1e0906dbda9cd9fe92d4d287695a4b2c
SHA256: dd307bc95629d1fde56f9ebd0cfaae9babfe2a1c5b615296bd4c08aaec4147f7
SHA512: 51d34acbfd9759aab80d99a79d2d6916d0cb042463359149ace37df4fc19796eeaf27fe6459aa5a956c46251e39ea26678a83c23d3dd5a966972648eb28b6456
Homepage: https://cran.r-project.org/package=midfieldr
Description: CRAN Package 'midfieldr' (Tools and Methods for Working with MIDFIELD Data in 'R')
 Provides tools and demonstrates methods for working with individual
 undergraduate student-level records (registrar's data) in 'R'. Tools include
 filters for program codes, data sufficiency, and timely completion. Methods
 include gathering blocs of records, computing quantitative metrics such as
 graduation rate, and creating charts to visualize comparisons. 'midfieldr'
 interacts with practice data provided in 'midfielddata', an R data package
 available at <https://midfieldr.github.io/midfielddata/>.  'midfieldr' also
 interacts with the full MIDFIELD database for users who have access. This
 work is supported by the US National Science Foundation through grant
 numbers 1545667 and 2142087.

Package: r-cran-midi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3908
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-plotly, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-midi_0.1.0-1.ca2004.1_all.deb
Size: 3920336
MD5sum: 257b2d73ad54df1d13e357cca243e0e8
SHA1: 617da8b76ed84dfb86fa0226b01578a97aa8604f
SHA256: 5e194e15d102f3695e75d998f4826c4d5344c08d69360287a9740ee43ad23bd0
SHA512: 162162e58b8449136f97db94178e9c8d100bb0fcedcb8131d3d3571e4087a833d86a864c2c4663852ca3337dee3afe9d2f5f9dac77089ecc6b2547f372946c06
Homepage: https://cran.r-project.org/package=midi
Description: CRAN Package 'midi' (Microstructure Information from Diffusion Imaging)
 An implementation of a taxonomy of models of restricted diffusion in
 biological tissues parametrized by the tissue geometry (axis, diameter,
 density, etc.). This is primarily used in the context of diffusion magnetic
 resonance (MR) imaging to model the MR signal attenuation in the presence of
 diffusion gradients. The goal is to provide tools to simulate the MR signal
 attenuation predicted by these models under different experimental
 conditions. The package feeds a companion 'shiny' app available at
 <https://midi-pastrami.apps.math.cnrs.fr> that serves as a graphical
 interface to the models and tools provided by the package. Models currently
 available are the ones in Neuman (1974) <doi:10.1063/1.1680931>, Van
 Gelderen et al. (1994) <doi:10.1006/jmrb.1994.1038>, Stanisz et al. (1997)
 <doi:10.1002/mrm.1910370115>, Soderman & Jonsson (1995)
 <doi:10.1006/jmra.1995.0014> and Callaghan (1995)
 <doi:10.1006/jmra.1995.1055>.

Package: r-cran-midn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn
Filename: pool/dists/focal/main/r-cran-midn_1.0-1.ca2004.1_all.deb
Size: 35500
MD5sum: 60d3c91b1fc1e37b0eca35d68d839f47
SHA1: 8c01d109ee4a285b2823b65868a5b9bed702fe2b
SHA256: 0cfa1abc60c9ede6673d4778f031b2a287bead1329ff53c5b71d7f1445490d71
SHA512: 4f4b189d0e89362b90af10fe8bd90214ce794f97ab898535269da2924cd4b9d9cc9a40a8b15e4aca56027a0add3fe9b3530b9c310845c2dee67e2e0a50325208
Homepage: https://cran.r-project.org/package=MIDN
Description: CRAN Package 'MIDN' (Nearly Exact Sample Size Calculation for Exact PowerfulNonrandomized Tests for Differences Between BinomialProportions)
 Implementation of the mid-n algorithms presented in Wellek S (2015)
 <DOI:10.1111/stan.12063> Statistica Neerlandica 69, 358-373 for exact sample
 size calculation for superiority trials with binary outcome.

Package: r-cran-midoc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1081
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arm, r-cran-blorr, r-cran-dagitty, r-cran-glue, r-cran-lifecycle, r-cran-mfp2, r-cran-mice, r-cran-rlang, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-midoc_1.0.0-1.ca2004.1_all.deb
Size: 422360
MD5sum: a0f0ffbf956b143881f0927456bb07b7
SHA1: 874e39921207c6c14ab94935428c434b3509e39a
SHA256: 560f898d3637fd958ee60c24a83ebd81a0f87a8a8098e24a8584601ee0a588d2
SHA512: 12e340114b82edff9a9debac62cf4955e8f71ac8dc95053845c372e2918a32b3ec33389053e943fc08804dc7ae6e17dd576fa1fd1ff6fa4d50000465efe33844
Homepage: https://cran.r-project.org/package=midoc
Description: CRAN Package 'midoc' (A Decision-Making System for Multiple Imputation)
 A guidance system for analysis with missing data. It incorporates expert,
 up-to-date methodology to help researchers choose the most appropriate
 analysis approach when some data are missing. You provide the available data
 and the assumed causal structure, including the likely causes of missing
 data. 'midoc' will advise which analysis approaches can be used, and how
 best to perform them. 'midoc' follows the framework for the treatment and
 reporting of missing data in observational studies (TARMOS). Lee et al
 (2021). <doi:10.1016/j.jclinepi.2021.01.008>.

Package: r-cran-midr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcppeigen, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-khroma, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-scales, r-cran-shapviz, r-cran-testthat, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-midr_0.5.0-1.ca2004.1_all.deb
Size: 552644
MD5sum: 7faf24516d6f2c27a2985423586b7e4f
SHA1: 5ed7ae891343d2b8b0a82c5cb2128e561926cb9c
SHA256: 4c169172e76a555d1a8b0c504dde248e808a73bf4b0266fe80d6c5b06248dd81
SHA512: 8d7d29962450c6f28ac5ed14a56e160c56569208244b626755b59d506b5026f9152da4ebda4b57db02e271055a1f14a8273c1d02dd9e94e0385d9ba901699ec1
Homepage: https://cran.r-project.org/package=midr
Description: CRAN Package 'midr' (Learning from Black-Box Models by Maximum InterpretationDecomposition)
 The goal of 'midr' is to provide a model-agnostic method for interpreting
 and explaining black-box predictive models by creating a globally
 interpretable surrogate model. The package implements 'Maximum
 Interpretation Decomposition' (MID), a functional decomposition technique
 that finds an optimal additive approximation of the original model. This
 approximation is achieved by minimizing the squared error between the
 predictions of the black-box model and the surrogate model. The theoretical
 foundations of MID are described in Iwasawa & Matsumori (2025)
 [Forthcoming], and the package itself is detailed in Asashiba et al. (2025)
 <doi:10.48550/arXiv.2506.08338>.

Package: r-cran-midrangemcp
Architecture: all
Version: 3.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-smr, r-cran-writexl, r-cran-xtable
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-midrangemcp_3.1.3-1.ca2004.1_all.deb
Size: 159812
MD5sum: 81bf7d75863d880bd620c8775b725a78
SHA1: 0c6d4854966b73e9014f7b54dcc580292b568cc2
SHA256: 86afa3243e549822b921bc8a543a08d2599522fd5a3342330e1ebba339468f71
SHA512: 22c8c2763a215a708587894dc04919134c79f1c973fc24fdd9e374c263cdaf556e683cbfcf3397882d3fa6b46f79a4be1adda6d18cffe8fda525c5404b7d602d
Homepage: https://cran.r-project.org/package=midrangeMCP
Description: CRAN Package 'midrangeMCP' (Multiple Comparisons Procedures Based on Studentized Midrangeand Range Distributions)
 Apply tests of multiple comparisons based on studentized 'midrange' and
 'range' distributions.  The tests are: Tukey Midrange ('TM' test),
 Student-Newman-Keuls Midrange ('SNKM' test), Means Grouping Midrange ('MGM'
 test) and Means Grouping Range ('MGR' test). The first two tests were
 published by Batista and Ferreira (2020)
 <doi:10.1590/1413-7054202044008020>. The last two were published by Batista
 and Ferreira (2023) <doi:10.28951/bjb.v41i4.640>.

Package: r-cran-miebl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-miebl_0.1.0-1.ca2004.1_all.deb
Size: 20952
MD5sum: cad06b25477ee0d2b6cfde9f98af066d
SHA1: a4ae6b6cedaad41775233a4ac7062faf33f50d07
SHA256: a2c8c0f3ca3f7b9a11b5ea79207192cea1d125484d5b01c05f39cda09e6c5812
SHA512: eb9f2c77372c6ed2fa5c7fe814ee4e88bc79543440a373138282afda7da3435d7b8f406761617642ff193d0df5431457637204fca32478105e1fb82a7cb77e06
Homepage: https://cran.r-project.org/package=miebl
Description: CRAN Package 'miebl' (Performance Criteria Modeler for Discrete Trial Training)
 Provides a tool for computing probabilities and other quantities that are
 relevant in selecting performance criteria for discrete trial training. The
 main function, miebl(), computes Bayesian and frequentist probabilities and
 bounds for each of n possible performance criterion choices when attempting
 to determine a student's true mastery level by counting their number of
 successful attempts at displaying learning among n trials. The reporting
 function miebl_re() takes output from miebl() and prepares it into a brief
 report for a specific criterion. miebl_cp() combines 2 to 5 distributions of
 true mastery level given performance criterion in one plot for comparison.
 Ramos (2025) <doi:10.1007/s40617-025-01058-9>.

Package: r-cran-miesmuschel
Architecture: all
Version: 0.0.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2424
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paradox, r-cran-mlr3misc, r-cran-checkmate, r-cran-r6, r-cran-bbotk, r-cran-data.table, r-cran-matrixstats, r-cran-lgr
Suggests: r-cran-tinytest, r-cran-mlr3tuning, r-cran-mlr3, r-cran-mlr3learners, r-cran-ranger, r-cran-xgboost, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-miesmuschel_0.0.4-3-1.ca2004.1_all.deb
Size: 1419676
MD5sum: f68b861d6e0be6f67d7f0919065da106
SHA1: 21bacc13cba946547dd8b9ff9baf56d87854fd58
SHA256: adaa38eddb09741d0778b73313faa1c898ce8eb4238dcaf5929e8c397ce3f3ab
SHA512: f6bd5f89295a904967dc5861f0d5fb9fd4ceda55031c1f8446489252fa6a187333cdae1a9679fb81cfd46d87696340593ba55885c09c2492cc1cc00f9a818741
Homepage: https://cran.r-project.org/package=miesmuschel
Description: CRAN Package 'miesmuschel' (Mixed Integer Evolution Strategies)
 Evolutionary black box optimization algorithms building on the 'bbotk'
 package. 'miesmuschel' offers both ready-to-use optimization algorithms, as
 well as their fundamental building blocks that can be used to manually
 construct specialized optimization loops. The Mixed Integer Evolution
 Strategies as described by Li et al. (2013) <doi:10.1162/EVCO_a_00059> can
 be implemented, as well as the multi-objective optimization algorithms
 NSGA-II by Deb, Pratap, Agarwal, and Meyarivan (2002)
 <doi:10.1109/4235.996017>.

Package: r-cran-mifa
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mice, r-cran-dplyr, r-cran-checkmate
Suggests: r-cran-psych, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mifa_0.2.1-1.ca2004.1_all.deb
Size: 169456
MD5sum: a3322f4f0b5690bd55269687598ad52c
SHA1: e65ab593a0ca42bb42d060556a858d2b20c8206f
SHA256: 34c6aa8d02a7da166331319d4b4a051498d2c186cba92c10d8cf222edbdb2b68
SHA512: 5d041eab6e910974bcc83dec9c28ed88a609388d9ced0a576c54bd81e45a43bdf218689c933376232208230f76076782955e80910bc6c1b73c46b92431198f6e
Homepage: https://cran.r-project.org/package=mifa
Description: CRAN Package 'mifa' (Multiple Imputation for Exploratory Factor Analysis)
 Impute the covariance matrix of incomplete data so that factor analysis can
 be performed. Imputations are made using multiple imputation by Multivariate
 Imputation with Chained Equations (MICE) and combined with Rubin's rules.
 Parametric Fieller confidence intervals and nonparametric bootstrap
 confidence intervals can be obtained for the variance explained by different
 numbers of principal components. The method is described in Nassiri et al.
 (2018) <doi:10.3758/s13428-017-1013-4>.

Package: r-cran-migconnectivity
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3567
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-geodist, r-cran-gplots, r-cran-mass, r-cran-ncf, r-cran-r2jags, r-cran-rmark, r-cran-sf, r-cran-shape, r-cran-terra, r-cran-vgam
Suggests: r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-migconnectivity_0.4.7-1.ca2004.1_all.deb
Size: 2863500
MD5sum: cff7dc2e8f000ad7acb805f2d25cb5e8
SHA1: e42e67cfb73cc42c7004e2076dabf27da03fd65d
SHA256: ff9c59f5a3fdd2a4acf0c818536ad16bedeb5e71e7ccad8089638aa7c8e4ec8c
SHA512: fad1ea8ab0da7ed32857e3aa22e6b5f53d1f005f509e9761aa082a8316f51fe8c8e0b873eee06f1136e032d53f4f801f4e23dbc9925f13f73e28a52e243cde81
Homepage: https://cran.r-project.org/package=MigConnectivity
Description: CRAN Package 'MigConnectivity' (Estimate Migratory Connectivity for Migratory Animals)
 Allows the user to estimate transition probabilities for migratory animals
 between any two phases of the annual cycle, using a variety of different
 data types. Also quantifies the strength of migratory connectivity (MC), a
 standardized metric to quantify the extent to which populations co-occur
 between two phases of the annual cycle. Includes functions to estimate MC
 and the more traditional metric of migratory connectivity strength (Mantel
 correlation) incorporating uncertainty from multiple sources of sampling
 error. For cross-species comparisons, methods are provided to estimate
 differences in migratory connectivity strength, incorporating uncertainty.
 See Cohen et al. (2018) <doi:10.1111/2041-210X.12916>, Cohen et al. (2019)
 <doi:10.1111/ecog.03974>, and Roberts et al.  (2023) <doi:10.1002/eap.2788>
 for details on some of these methods.

Package: r-cran-migee
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mice, r-cran-vim, r-cran-ggplot2, r-cran-lme4, r-cran-ggeffects, r-cran-dplyr, r-cran-readr, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-migee_0.1.0-1.ca2004.1_all.deb
Size: 179220
MD5sum: 86616b85512ce522706c46c66bc0438f
SHA1: ceea359f36366b1b3110647287a5d2ec9e610c9e
SHA256: 3573974b0ff8b7d1ae5d406bdeb1b67e3f6c4220225f23613a9b32c45f631ede
SHA512: 959bcb48680cc75052ebe4dda5431f8d15f0b5fc971e54c059d498949b3a311d3688b271bafd0687026bbea907ffed6b4b100a440f8b54c27dafec74085691f4
Homepage: https://cran.r-project.org/package=MIGEE
Description: CRAN Package 'MIGEE' (Impute Missing Values and Fitting Linear Mixed Effect Model)
 Implements methods for estimating generalized estimating equations (GEE)
 with advanced options for flexible modeling and handling missing data. This
 package provides tools to fit and analyze GEE models for longitudinal data,
 allowing users to address missingness using a variety of imputation
 techniques. It supports both univariate and multivariate modeling,
 visualization of missing data patterns, and facilitates the transformation
 of data for efficient statistical analysis. Designed for researchers working
 with complex datasets, it ensures robust estimation and inference in
 longitudinal and clustered data settings.

Package: r-cran-migest
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-magrittr, r-cran-tibble, r-cran-forcats, r-cran-matrixstats, r-cran-migration.indices, r-cran-circlize, r-cran-mipfp
Suggests: r-cran-spelling, r-cran-countrycode
Filename: pool/dists/focal/main/r-cran-migest_2.0.4-1.ca2004.1_all.deb
Size: 354112
MD5sum: 4ea39c1a3a4255f6338a3f082cceedd8
SHA1: 1459b8ecd25dd11b671a36bea11c71ce6fe432fa
SHA256: 28f91aa42c57c173ec3bf5f07d32dd907cf8d48051ccbf5fb3ce8359669adc8a
SHA512: 090f8d5080325083feaaac35ba3dec2bdac3bce0d1032d6fde23131d6dbabe9b1467e137ddc9cedc33331fb8fee7c9bf1c25df6a36d01afff2e374685606cfee
Homepage: https://cran.r-project.org/package=migest
Description: CRAN Package 'migest' (Methods for the Indirect Estimation of Bilateral Migration)
 Tools for estimating, measuring and working with migration data.

Package: r-cran-migraph
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3521
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-manynet, r-cran-dplyr, r-cran-future, r-cran-furrr, r-cran-generics, r-cran-purrr
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-migraph_1.5.0-1.ca2004.1_all.deb
Size: 2470920
MD5sum: f32d1c8d639b3cfbf4a348d723836309
SHA1: 6c578a144628b7694b6a139e59f47182afe3a9da
SHA256: cb4c95d8ceb0907ca858051d83c6222394d51a7f0e9344697816bfd51d9a180f
SHA512: 9e02f90347a0ef515ef6bc41c64de1791c4ddfe8a862b1ce777f4c699f5e1a82abb10f9586516c6d1eab63a0f3d85847b1f7fb934da74e26d3119b5868ff72a4
Homepage: https://cran.r-project.org/package=migraph
Description: CRAN Package 'migraph' (Inferential Methods for Multimodal and Other Networks)
 A set of tools for testing networks.  It includes functions for univariate
 and multivariate conditional uniform graph and quadratic assignment
 procedure testing, and network regression.  The package is a complement to
 'Multimodal Political Networks' (2021, ISBN:9781108985000), and includes
 various datasets used in the book.  Built on the 'manynet' package, all
 functions operate with matrices, edge lists, and 'igraph', 'network', and
 'tidygraph' objects, and on one-mode and two-mode (bipartite) networks.

Package: r-cran-migrate
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-rlang, r-cran-cli, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-migrate_0.5.0-1.ca2004.1_all.deb
Size: 171136
MD5sum: f06250b40e4ba4bcbd7223a27dccf0f2
SHA1: 60b6c073f0ff2d07d5e4b34b9bbdc5232133071a
SHA256: 896761f5914b9c93b578b3259bfb57510f779ce2cface2082cfa10df08e99ede
SHA512: 6bde3a60afffc80c3f2f946891fa5a572ac78f340e4afbd760d35476cab1262edf88facc70de550428b8bde211dad6b5b1a999b158a5080b5412b8b2a91b24b3
Homepage: https://cran.r-project.org/package=migrate
Description: CRAN Package 'migrate' (Create Credit State Migration (Transition) Matrices)
 Tools to help convert credit risk data at two timepoints into traditional
 credit state migration (aka, "transition") matrices.  At a higher level,
 'migrate' is intended to help an analyst understand how risk moved in their
 credit portfolio over a time interval.  References to this methodology
 include: 1. Schuermann, T. (2008) <doi:10.1002/9780470061596.risk0409>.  2.
 Perederiy, V. (2017) <doi:10.48550/arXiv.1708.00062>.

Package: r-cran-migration.indices
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-calibrate
Filename: pool/dists/focal/main/r-cran-migration.indices_0.3.1-1.ca2004.1_all.deb
Size: 154816
MD5sum: 7f3d43605ecc4a346153e6fdaa6c69df
SHA1: 334191277cc01fb6e7120ceeec64b4af650eb92e
SHA256: ffc0219fdc07aa6359339da0abd8e1f1bc807ba38268dba4361d5f4d02cc8016
SHA512: 9f32b5ff74dba8f60371f808c76c614cd2d72c5e228c2a88dc51923093910594390518892b15cd2090af6d17aeb81e39393efa9ef3d633e5e965a402782ab52a
Homepage: https://cran.r-project.org/package=migration.indices
Description: CRAN Package 'migration.indices' (Migration Indices)
 Calculate various indices, like Crude Migration Rate, different Gini indices
 or the Coefficient of Variation among others, to show the (un)equality of
 migration.

Package: r-cran-migrationdetectr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-migrationdetectr_0.1.1-1.ca2004.1_all.deb
Size: 80344
MD5sum: 06373a0aa7320138bb21a7834a460100
SHA1: 4527324b0186a1d0ea69b34ac025a8a21115a46c
SHA256: 75dbd544a2dbe14351f4b11f3d84ceb7d45d20380149e784305e5f8336c9d375
SHA512: becc3687af85408dddbbd5a4ee03ce47855ba242786232881ff5c62203bedf11869a52f22924f671578297ad0238f7bf2e4fa060eba81565d51593bffeae66d3
Homepage: https://cran.r-project.org/package=MigrationDetectR
Description: CRAN Package 'MigrationDetectR' (Segment-Based Migration Detection Algorithm)
 Detection of migration events and segments of continuous residence based on
 irregular time series of location data as published in Chi et al. (2020)
 <doi:10.1371/journal.pone.0239408>.

Package: r-cran-migui
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gwidgets2, r-cran-mi, r-cran-arm
Suggests: r-cran-foreign, r-cran-gwidgets2tcltk
Filename: pool/dists/focal/main/r-cran-migui_1.3-1.ca2004.1_all.deb
Size: 76224
MD5sum: df42bcf7cdc9fa04333317a4e8bac5b7
SHA1: a2c498546d1af52ad233cddc61a9b7571160a9e4
SHA256: 6d7add59fdc0cb8ad1b3132ce62a782dcc65dd7ca9b6a17774baafa047e7ff10
SHA512: b4b5b060fa31fbdbd874a882f7190c754b2a6b18c7753fb4516f8ef7b8e4593f59bfcf634f3f9270c4a2cfd77088fc1a1c5608740279cf4779f19430b415d8d6
Homepage: https://cran.r-project.org/package=migui
Description: CRAN Package 'migui' (Graphical User Interface to the 'mi' Package)
 This GUI for the mi package walks the user through the steps of multiple
 imputation and the analysis of completed data.

Package: r-cran-miicd
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-mstate
Filename: pool/dists/focal/main/r-cran-miicd_2.4-1.ca2004.1_all.deb
Size: 129536
MD5sum: 21ee811c1b4291145515624cb4bd7ef3
SHA1: 913d91be629730c68bd4fcbe92dae8ed0b1731d8
SHA256: 9955b8a8c4cb60dbb7280833e11380071a98651816b9514953f56fde1a4c91ba
SHA512: 9405ec4a0d79533fb59a967846034dd210ee59b8b0313211e689a9baef4a61d859d73a36a17afb23c1e79ca3826195d05c4adb6f4bae0f184c291ef101af7638
Homepage: https://cran.r-project.org/package=MIICD
Description: CRAN Package 'MIICD' (Multiple Imputation for Interval Censored Data)
 Implements multiple imputation for proportional hazards regression with
 interval censored data or proportional sub-distribution hazards regression
 for interval censored competing risks data. The main functions allow to
 estimate survival function, cumulative incidence function, Cox and Fine &
 Gray regression coefficients and associated variance-covariance matrix.
 'MIICD' functions call 'Surv', 'survfit' and 'coxph' from the 'survival'
 package, 'crprep' from the 'mstate' package, and 'mvrnorm' from the 'MASS'
 package.

Package: r-cran-miipw
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 328
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-spatstat, r-cran-mice, r-cran-matrix, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-miipw_0.1.2-1.ca2004.1_all.deb
Size: 257280
MD5sum: da59fc98d0f3c0ed1ebed551dc9d6623
SHA1: 61bb3a9185d59c0328d73be239d8ea13b0c978f8
SHA256: a9f164fc32ecdea1765d0652d0122db038d02127e564a049d2cdb886a36be99d
SHA512: 244c5d66b6425352af5fb629562eb01b3c2606fc6cebb758c1f95f8756e46c1a19573af39965f2805e161b19c8a2efa277fabe0026d0474eef2cc1ffb8193919
Homepage: https://cran.r-project.org/package=MIIPW
Description: CRAN Package 'MIIPW' (IPW and Mean Score Methods for Time-Course Missing Data)
 Contains functions for data analysis of Repeated measurement using GEE. Data
 may contain missing value in response and covariates. For parameter
 estimation through Fisher Scoring algorithm, Mean Score and Inverse
 Probability Weighted method combining with Multiple Imputation are used when
 there is missing value in covariates/response.  Reference for mean score
 method, inverse probability weighted method is Wang et
 al(2007)<doi:10.1093/biostatistics/kxl024>.

Package: r-cran-miivefa
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-miivsem
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-mnormt, r-cran-lavaan, r-cran-mpsychor
Filename: pool/dists/focal/main/r-cran-miivefa_0.1.2-1.ca2004.1_all.deb
Size: 56036
MD5sum: 131f8a957fa87be64dfb4e4fdbe8ace6
SHA1: df893bf11930e98d4e7005ad86f0d40b19902c41
SHA256: 86d9f47b4bdf3f59dd7190b314eea8520eef8aa3fc1a3100df80f14c16c67e31
SHA512: 113cc72c134bee5081ba3aa6b0162f8052f43665a65e905ac9ad32d21e8714e20e017f56aadb9acb1e17fb707c10654203d0e98afb1aa222eca6e3a67caa0ad4
Homepage: https://cran.r-project.org/package=MIIVefa
Description: CRAN Package 'MIIVefa' (Exploratory Factor Analysis Using Model Implied InstrumentalVariables)
 Data-driven approach for Exploratory Factor Analysis (EFA) that uses Model
 Implied Instrumental Variables (MIIVs). The method starts with a one factor
 model and arrives at a suggested model with enhanced interpretability that
 allows cross-loadings and correlated errors.

Package: r-cran-miivsem
Architecture: all
Version: 0.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-numderiv, r-cran-matrix, r-cran-car, r-cran-boot
Filename: pool/dists/focal/main/r-cran-miivsem_0.5.8-1.ca2004.1_all.deb
Size: 280084
MD5sum: 9839305a3754a7042bac446eedee0169
SHA1: e754f510a4eb294cbc963a10ac0fb69f22c9839e
SHA256: ab4eb2a80e4f0ecda3d65a4b39f642262f9bd4059a4fb348b31c1fcdde6ca508
SHA512: 4384e4b490ac2f073bf68f5a3a7df910f38e9e1f46e73e95cecf2bca100ea07632f6697855ab59464f0b53dc331b69c75c6a39dd5db2fcf86bbb5a33202a3859
Homepage: https://cran.r-project.org/package=MIIVsem
Description: CRAN Package 'MIIVsem' (Model Implied Instrumental Variable (MIIV) Estimation ofStructural Equation Models)
 Functions for estimating structural equation models using instrumental
 variables.

Package: r-cran-mikropml
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2526
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-e1071, r-cran-glmnet, r-cran-kernlab, r-cran-mlmetrics, r-cran-randomforest, r-cran-rlang, r-cran-rpart, r-cran-xgboost
Suggests: r-cran-assertthat, r-cran-dofuture, r-cran-forcats, r-cran-foreach, r-cran-future, r-cran-future.apply, r-cran-furrr, r-cran-ggplot2, r-cran-knitr, r-cran-progress, r-cran-progressr, r-cran-purrr, r-cran-rmarkdown, r-cran-rsample, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mikropml_1.6.1-1.ca2004.1_all.deb
Size: 2256472
MD5sum: 399a0fcba11edf897fff7f41156824ae
SHA1: 2fa3916e56232372ebc0214ddd4abf2ca9a93b0b
SHA256: 96ba9c728ecf4d17180bb98933695957dddc939f4cef3d498792019b8d0f4753
SHA512: 52eddd97fd098f6c99295e1f6ae2bab1475ab7cd89684a25e18f21ab7c36ab8b8603db2b6b67f6afdfc0197cae39cf0d0eb4af907b197ae7250a9e3b6a0d52f0
Homepage: https://cran.r-project.org/package=mikropml
Description: CRAN Package 'mikropml' (User-Friendly R Package for Supervised Machine LearningPipelines)
 An interface to build machine learning models for classification and
 regression problems. 'mikropml' implements the ML pipeline described by
 Topçuoğlu et al. (2020) <doi:10.1128/mBio.00434-20> with reasonable default
 options for data preprocessing, hyperparameter tuning, cross-validation,
 testing, model evaluation, and interpretation steps.  See the website
 <https://www.schlosslab.org/mikropml/> for more information, documentation,
 and examples.

Package: r-cran-milag
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-testthat, r-cran-minpack.lm, r-cran-nlsmicrobio
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-milag_1.0.5-1.ca2004.1_all.deb
Size: 444244
MD5sum: 95ce22116c33d0f1675e3f14504f6a59
SHA1: c965ae437852dd8adf20a4187426d6841e8e55cb
SHA256: 263f6e6b73dcac8f490ab711d8fb29cc3dbddd0bb70ab27fac6b8ea5582debba
SHA512: 060c33f7ff87758a28f354571fa40eda1d8dc0f637087120629a57526de19f3fbd3609ca44607528c6eae725c5e3ce11cf0725dbbc9aaad5dcae7454b093a2ba
Homepage: https://cran.r-project.org/package=miLAG
Description: CRAN Package 'miLAG' (Calculates Microbial Lag Duration (on the Population Level) fromProvided Growth Curve Data)
 Microbial growth is often measured by growth curves i.e. a table of
 population sizes and times of measurements.  This package allows to use such
 growth curve data to determine the duration of "microbial lag phase" i.e.
 the time needed for microbes to restart divisions.  It implements the most
 commonly used methods to calculate the lag duration, these methods are
 discussed and described in Opalek et.al. 2022.  Citation: Smug, B. J.,
 Opalek, M., Necki, M., & Wloch-Salamon, D. (2024). Microbial lag calculator:
 A shiny-based application and an R package for calculating the duration of
 microbial lag phase. Methods in Ecology and Evolution, 15, 301–307
 <doi:10.1111/2041-210X.14269>.

Package: r-cran-milc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-milc_1.0-1.ca2004.1_all.deb
Size: 231860
MD5sum: 119987729ea37a2a8ebd28b0d32d5fe9
SHA1: 5148760d3a5cc24465896e6df5a17b562afb8eaa
SHA256: bb8de1586c11232318de8ff6abb49c9ba28a97f6c0a5b8881a185948e0c87e18
SHA512: 86842d14451d7b85230798cef0ab8bfa561b2d88ba27ed717794acaa7f4f30bc560432cc1d216cb63f9d561f3696dbf82f9c056ba93ab3d3d01e79b460fa27e9
Homepage: https://cran.r-project.org/package=MILC
Description: CRAN Package 'MILC' (MIcrosimulation Lung Cancer (MILC) model)
 The MILC package is designed to predict individual trajectories using the
 continuous time microsimulation model MILC, that describes the natural
 history of lung cancer.

Package: r-cran-mildsvm
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-e1071, r-cran-kernlab, r-cran-magrittr, r-cran-mvtnorm, r-cran-pillar, r-cran-proc, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-matrix, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mildsvm_0.4.0-1.ca2004.1_all.deb
Size: 446028
MD5sum: 187edacab261322d91484bd808d35f4b
SHA1: ef0c9340e51c379eea6e4c00c83cf28903458723
SHA256: b025c5f752c1a5a22d4024f61196f7818202fdbdf72a9a0ae1ca20315d795305
SHA512: 000b8ca5f2ea275ef1055ed66d800a7cc0d34ee5a3ffb1add0b9a922ee63788c8ae632559142e739d6670d0d192f52b2af8cd2d4a1268f4851eb5ee38384868f
Homepage: https://cran.r-project.org/package=mildsvm
Description: CRAN Package 'mildsvm' (Multiple-Instance Learning with Support Vector Machines)
 Weakly supervised (WS), multiple instance (MI) data lives in numerous
 interesting applications such as drug discovery, object detection, and tumor
 prediction on whole slide images. The 'mildsvm' package provides an easy way
 to learn from this data by training Support Vector Machine (SVM)-based
 classifiers. It also contains helpful functions for building and printing
 multiple instance data frames. The core methods from 'mildsvm' come from the
 following references: Kent and Yu (2022) <arXiv:2206.14704>; Xiao, Liu, and
 Hao (2018) <doi:10.1109/TNNLS.2017.2766164>; Muandet et al. (2012)
 <https://proceedings.neurips.cc/paper/2012/file/9bf31c7ff062936a96d3c8bd1f8f2ff3-Paper.pdf>;
 Chu and Keerthi (2007) <doi:10.1162/neco.2007.19.3.792>; and Andrews et al.
 (2003)
 <https://papers.nips.cc/paper/2232-support-vector-machines-for-multiple-instance-learning.pdf>.
 Many functions use the 'Gurobi' optimization back-end to improve the
 optimization problem speed; the 'gurobi' R package and associated software
 can be downloaded from <https://www.gurobi.com> after obtaining a license.

Package: r-cran-milineage
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-data.table, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-milineage_2.1-1.ca2004.1_all.deb
Size: 282460
MD5sum: 7edab9a0c72bc86e5b784e647ce598e3
SHA1: ddd904e05cfe0affc73e4fbfe018d5ab5d400f33
SHA256: 3d7244591711fed9268b09d16d527125aa7718d828edcd51110e911e99f1f44e
SHA512: 02fa6c035830785bdb64ad77756978402582c571a3c67bfe0fa02a7dbf9c4a25b2d9d0683abfa276626b6db68ee23ecd642ca68ca2f7b9613f0d4f4342316b4e
Homepage: https://cran.r-project.org/package=miLineage
Description: CRAN Package 'miLineage' (Association Tests for Microbial Lineages on a Taxonomic Tree)
 A variety of association tests for microbiome data analysis including
 Quasi-Conditional Association Tests (QCAT) described in Tang Z.-Z. et
 al.(2017) <doi:10.1093/bioinformatics/btw804> and Zero-Inflated Generalized
 Dirichlet Multinomial (ZIGDM) tests described in Tang Z.-Z. & Chen G. (2017,
 submitted).

Package: r-cran-mimdo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mimdo_0.1.0-1.ca2004.1_all.deb
Size: 16984
MD5sum: 1bcf8884afb5ab9040a4a0e3dfefaa92
SHA1: 89fdb016e50b06f7d325f262476f47cc485d32b7
SHA256: c1363e86d40e1c7cc3d19214cb46f1f58c3657b28a7c982f69d2c11f1cf5cb05
SHA512: 166cba36051349908bfcb99ccc3d00b1573ff731f8e7959a5a84f63025d1771eda107357feaae0ca4241d563dde1389360a5e2aebde2350c78ece9b59a68063d
Homepage: https://cran.r-project.org/package=mimdo
Description: CRAN Package 'mimdo' (Multivariate Imputation by Mahalanobis Distance Optimization)
 Imputes missing values of an incomplete data matrix by minimizing the
 Mahalanobis distance of each sample from the overall mean [Labita, GJ.D. and
 Tubo, B.F. (2024) <doi:10.24412/1932-2321-2024-278-115-123>].

Package: r-cran-mimer
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4034
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-amr, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-testthat, r-cran-data.table, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-mimer_1.0.4-1.ca2004.1_all.deb
Size: 362672
MD5sum: f31db585032c124e4fd71d473161fd85
SHA1: b2373bfc4456173238942351e533f53f52bfb0f9
SHA256: 8b4ff76d88d50506226a43b0094b015b0568f8fb712e57fba3ef3d6532e09b0c
SHA512: 5dc502cc9c76b6bb7ca4aa00f1cc497dd1667416d558204ee478093bcb987965ff80829cf4b34b09c1022e4a7c1abde6b50ce3f27f8fa0121c011b97e6f0cc1e
Homepage: https://cran.r-project.org/package=MIMER
Description: CRAN Package 'MIMER' (Data Wrangling for Antimicrobial Resistance Studies)
 Designed for analyzing the Medical Information Mart for Intensive
 Care(MIMIC) dataset, a repository of freely accessible electronic health
 records. MIMER(MIMIC-enabled Research) package, offers a suite of data
 wrangling functions tailored specifically for preparing the dataset for
 research purposes, particularly in antimicrobial resistance(AMR) studies. It
 simplifies complex data manipulation tasks, allowing researchers to focus on
 their primary inquiries without being bogged down by wrangling complexities.

Package: r-cran-mimi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-softimpute, r-cran-factominer, r-cran-doparallel, r-cran-foreach, r-cran-data.table, r-cran-rarpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mimi_0.2.0-1.ca2004.1_all.deb
Size: 350500
MD5sum: d24070b96635f16489f87a6d10555cf1
SHA1: 2fbffd568ed662133052b8bcb11df1f281b77c18
SHA256: 39b896eee3e4c077e42611de723a451c02cf27359af6ebddc0ddf541e83dd5b7
SHA512: 8e78d427134e750a4a5c34ed1a6d70ceff8eec7801a91fd751c630fad28a250f479cdb8d80d2df47cbe51fbc3a7fb248476a512b3a3de3f75b076dea8335984f
Homepage: https://cran.r-project.org/package=mimi
Description: CRAN Package 'mimi' (Main Effects and Interactions in Mixed and Incomplete Data)
 Generalized low-rank models for mixed and incomplete data frames. The main
 function may be used for dimensionality reduction of imputation of numeric,
 binary and count data (simultaneously). Main effects such as column means,
 group effects, or effects of row-column side information (e.g. user/item
 attributes in recommendation system) may also be modelled in addition to the
 low-rank model. Geneviève Robin, Olga Klopp, Julie Josse, Éric Moulines,
 Robert Tibshirani (2018) <arXiv:1806.09734>.

Package: r-cran-mimir
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2660
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-dt, r-cran-foreach, r-cran-ggplot2, r-cran-heatmaply, r-cran-matrixstats, r-cran-plotly, r-cran-proc, r-cran-purrr, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyfiles, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-survival, r-cran-survminer, r-cran-dplyr, r-cran-fs
Suggests: r-cran-testthat, r-cran-ggfortify, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mimir_1.5-1.ca2004.1_all.deb
Size: 2418216
MD5sum: a36aae83228ce7cdb94d131545ebef69
SHA1: 2057d28032d823911c79d5d7147bb9a292bf36b5
SHA256: 098aa009dd922b6199e05692d2a03d353ef9a1e7a85fc23432fba8695e8030dc
SHA512: ec696f8ef81b576c547ef60aaf8c90886aa580bfaf753e66892347fcf920f5ade0a3b0f2754ab3cf3411aa13aa9c8696c62abe3c01861d0f238db9c5f0505b67
Homepage: https://cran.r-project.org/package=MiMIR
Description: CRAN Package 'MiMIR' (Metabolomics-Based Models for Imputing Risk)
 Provides an intuitive framework for ad-hoc statistical analysis of 1H-NMR
 metabolomics by Nightingale Health. It allows to easily explore new
 metabolomics measurements assayed by Nightingale Health, comparing the
 distributions with a large Consortium (BBMRI-nl); project previously
 published metabolic scores [<doi:10.1016/j.ebiom.2021.103764>,
 <doi:10.1161/CIRCGEN.119.002610>, <doi:10.1038/s41467-019-11311-9>,
 <doi:10.7554/eLife.63033>, <doi:10.1161/CIRCULATIONAHA.114.013116>,
 <doi:10.1007/s00125-019-05001-w>]; and calibrate the metabolic surrogate
 values to a desired dataset.

Package: r-cran-mimisbm
Architecture: all
Version: 0.0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-blockmodels
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mimisbm_0.0.1.3-1.ca2004.1_all.deb
Size: 189040
MD5sum: 5c3fe36ffc6225f81495b5e7b96e99f9
SHA1: 394df011ec75477fdc8a891e9427d350b0c86570
SHA256: 488891ca9630e8db74c9181cbd7a72d1c53559dcdc1ec2776144074c341dc619
SHA512: 7ab16a32493af789dcfd6bd353ad1beb489f11a6dde7c2cf9654b5f73142d3f01a6230b7f036694c9a01bf6549fa968a4f7d9d33b2709e44b3cc9d522e35652f
Homepage: https://cran.r-project.org/package=mimiSBM
Description: CRAN Package 'mimiSBM' (Mixture of Multilayer Integrator Stochastic Block Models)
 Our approach uses a mixture of multilayer stochastic block models to group
 co-membership matrices with similar information into components and to
 partition observations into different clusters. See De Santiago (2023, ISBN:
 978-2-87587-088-9).

Package: r-cran-mimix
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mitools
Filename: pool/dists/focal/main/r-cran-mimix_1.0-1.ca2004.1_all.deb
Size: 27456
MD5sum: 4c1a7c283202eb5483285c1cdde0e24f
SHA1: 3541683f043bfe3e683ff041079a046be90b0640
SHA256: b7757583d921d238e0fc02a6415696d382e7bf6d83963488d075cf638c653a62
SHA512: 722cef79babc1f313a4e59a317d53df12138d7feb723b79c6404aaff848d057d8ab547cd4a78149f2f8094bb2b0555b1ce6560b5d6923506c94c89143160c35a
Homepage: https://cran.r-project.org/package=MImix
Description: CRAN Package 'MImix' (Mixture summary method for multiple imputation)
 Tools to combine results for multiply-imputed data using mixture
 approximations

Package: r-cran-mimsunit
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1078
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-catools, r-cran-tibble, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-plyr, r-cran-readr, r-cran-r.utils, r-cran-stringr, r-cran-xts, r-cran-signal, r-cran-dygraphs, r-cran-shiny, r-cran-rcolorbrewer, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-pkgdown, r-cran-gridextra, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-mimsunit_0.11.2-1.ca2004.1_all.deb
Size: 416208
MD5sum: 963312dcbcefc31feef943ccf2e38658
SHA1: 122b850404679b698fa6a1e43a6be98694d054c2
SHA256: 860c39ee343cfeef0e647c15f23565ea267ed6c61169dbc8a74a014e02feba9a
SHA512: cd9ddbd360a745eced879a9c4e043da19fe48e87f9868c91ba5f7a3b6dda3eedbc9fce0d087bcdf173337df199d6cab23a257cf93119266f95f5d9a78dddd8af
Homepage: https://cran.r-project.org/package=MIMSunit
Description: CRAN Package 'MIMSunit' (Algorithm to Compute Monitor Independent Movement Summary Unit(MIMS-Unit))
 The MIMS-unit algorithm is developed to compute Monitor Independent Movement
 Summary Unit, a measurement to summarize raw accelerometer data while
 ensuring harmonized results across different devices. It also includes
 scripts to reproduce results in the related publication (John, D., Tang. Q.,
 Albinali, F. and Intille, S. (2019) <doi:10.1123/jmpb.2018-0068>).

Package: r-cran-mimsy
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 685
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-lubridate, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-mimsy_0.6.5-1.ca2004.1_all.deb
Size: 435080
MD5sum: 6646c3cd522b1f871d5e6dcd2a839041
SHA1: 4747a40e3848bf2c4b66bfa2741c55ccc8bb0055
SHA256: 7608c77defa8697416d5d2077222a1626b3af14fae77f273a9ab2793214afb7a
SHA512: 7f16f029d203c4dc2ae4678e2337359d7ab0b73289e28cd10d6e5d9f92685b7f22fe38133571639a3ae35814b4558f164366ca31a926c42b14cf50ae97665866
Homepage: https://cran.r-project.org/package=mimsy
Description: CRAN Package 'mimsy' (Calculate MIMS Dissolved Gas Concentrations Without Getting aHeadache)
 Calculate dissolved gas concentrations from raw MIMS (Membrane Inlet Mass
 Spectrometer) signal data. Use mimsy() on a formatted CSV file to return
 dissolved gas concentrations (mg and microMole) of N2, O2, Ar based on gas
 solubility at temperature, pressure, and salinity. See references Benson and
 Krause (1984), Garcia and Gordon (1992), Stull (1947), and Hamme and Emerson
 (2004) for more information. Easily save the output to a nicely-formatted
 multi-tab 'Excel' workbook with mimsy.save().  Supports dual-temperature
 standard calibration for dual-bath MIMS setups.

Package: r-cran-minb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-minb_0.1.0-1.ca2004.1_all.deb
Size: 48108
MD5sum: 692c637946338d817b1751164b087607
SHA1: 92d0075b3677d0a60184f61a3b9d41ea9f87b1e2
SHA256: 7e6e9227eb4828240ab595e93e640aeae16914dc18e3c52b2958623d5af929ce
SHA512: 88a7bdc02f603caee40707a2511460b9bc2f95a35204fc18b9a58ef8326db9822ad26eb5cf943b60b0150a0f64392bb3cc427ae0261d2b3c2686cacd92321c26
Homepage: https://cran.r-project.org/package=minb
Description: CRAN Package 'minb' (Multiple-Inflated Negative Binomial Model)
 Count data is prevalent and informative, with widespread application in many
 fields such as social psychology, personality, and public health. Classical
 statistical methods for the analysis of count outcomes are commonly variants
 of the log-linear model, including Poisson regression and Negative Binomial
 regression. However, a typical problem with count data modeling is
 inflation, in the sense that the counts are evidently accumulated on some
 integers. Such an inflation problem could distort the distribution of the
 observed counts, further bias estimation and increase error, making the
 classic methods infeasible. Traditional inflated value selection methods
 based on histogram inspection are easy to neglect true points and
 computationally expensive in addition. Therefore, we propose a
 multiple-inflated negative binomial model to handle count data modeling with
 multiple inflated values, achieving data-driven inflated value selection.
 The proposed approach provides simultaneous identification of important
 regression predictors on the target count response as well. More details
 about the proposed method are described in Li, Y., Wu, M., Wu, M., & Ma, S.
 (2023) <arXiv:2309.15585>.

Package: r-cran-minbar
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2455
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-sp, r-cran-maxnet, r-cran-dismo, r-cran-ecospat, r-cran-geosphere, r-cran-lattice, r-cran-latticeextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-minbar_1.1.3-1.ca2004.1_all.deb
Size: 2339168
MD5sum: 1e7a8736d12e596e2c5bd33fd1509fe3
SHA1: ce941d9cba86c8dcc3ace1bbf30570704ea1e208
SHA256: 15a91e4b548cc35a9a59eb128d8af3e2347856c2d2b8482207897144852042e8
SHA512: 8793f6658e1d258731cf8d87505668190d4d5acc1891457091479503a206ffe42c510255a1f777a7e1a35747228a24051cca276763eccbe2136754b560cd4945
Homepage: https://cran.r-project.org/package=MinBAR
Description: CRAN Package 'MinBAR' (Determining the Minimal Background Area for Species DistributionModels)
 A versatile tool that aims at (1) defining the minimum background extent
 necessary to fit Species Distribution Models reliable enough to extract
 ecologically relevant conclusions from them and (2) optimizing the modelling
 process in terms of computation demands. See Rotllan-Puig, X. & Traveset, A.
 (2021)
 <https://www.sciencedirect.com/science/article/pii/S0304380020304191>.

Package: r-cran-mind
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 777
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-mass, r-cran-matrix, r-cran-dplyr, r-cran-jwileymisc, r-cran-tm
Filename: pool/dists/focal/main/r-cran-mind_1.1.0-1.ca2004.1_all.deb
Size: 760332
MD5sum: 23e9288a02fd8186ae6c20bb5669b890
SHA1: c040e449ac6c1b990e4f413026c2f11f6a58bd7e
SHA256: 854664d659357f4519eb53ca9560c4d789b4eb1016b0c2d97985ec39ffa320b5
SHA512: d7a3b0682fe5e57e500c455178078ed65d98360166f3c054cc5c67fa7dff5ea25199e59837d66b016820869227afb50b347d963cc50fbcdeedb42a382b333748
Homepage: https://cran.r-project.org/package=mind
Description: CRAN Package 'mind' (Multivariate Model Based Inference for Domains)
 Allows users to produce estimates and MSE for multivariate variables using
 Linear Mixed Model. The package follows the approach of Datta, Day and
 Basawa (1999) <doi:10.1016/S0378-3758(98)00147-5>.

Package: r-cran-mindonstats
Architecture: all
Version: 0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mindonstats_0.11-1.ca2004.1_all.deb
Size: 194148
MD5sum: 5b11d32db11683dab8b8211953f3c3ac
SHA1: fbee39dd6a929f2786ecdc6e429cc8201294eafc
SHA256: b6cec1ccb825d6ec3369b535513f28040daa7e2c78d4a22286d73e293390f945
SHA512: 8254c8ac9bf43d915a4a0b54b8b7cc072348577e4bb42feb67aa434e7a946fae267235948693da89934caf36ceb6d9ec8913486973127a457c9f46bc00bba739
Homepage: https://cran.r-project.org/package=MindOnStats
Description: CRAN Package 'MindOnStats' (Data sets included in Utts and Heckard's Mind on Statistics)
 66 data sets that were imported using read.table() where appropriate but
 more commonly after converting to a csv file for importing via read.csv().

Package: r-cran-mindr
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mindr_1.3.2-1.ca2004.1_all.deb
Size: 224216
MD5sum: ce2503651cfc0ef6b8403c2c17d929f7
SHA1: 90c7003020abe935a895d9eed1a644f2fa9990a9
SHA256: 429dc212ea829f91c3f10338714d5e944209b2323755bb04a0178c5d570621df
SHA512: bd52383aea81bd44a1c13aa26f018cb424108ebb4f6716b3af5e47b4f78b1fe8a9c9c416bed33303869e3bc52620672051cc67840152450657a3d43da509b42d
Homepage: https://cran.r-project.org/package=mindr
Description: CRAN Package 'mindr' (Generate Mind Maps with R)
 Convert Markdown ('.md') or R Markdown ('.Rmd') texts, R scripts, and
 directory structures, into mind map widgets or files ('.mm'), and vice
 versa. "FreeMind" mind map ('.mm') files can be opened by or imported to
 common mindmap software such as 'FreeMind'
 (<http://freemind.sourceforge.net/wiki/index.php/Main_Page>).

Package: r-cran-minecitrus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4710
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-minecitrus_1.0.0-1.ca2004.1_all.deb
Size: 4736524
MD5sum: 077b7be58dbcc2c995a7cdbb16626d76
SHA1: 05f8ac575943929cd70e4069dc0549ca9a845ab6
SHA256: 2bbbfaf530628cd9f9fabea54597e75f44449ac41d4e26119528c38d5ee788ed
SHA512: c20fcdcc23bb5087f4a857e70d994eb04b9b5486948922aceedbe0a855b79d56ea6647ac8e2e700423fb9712b3551730272a9348ce10b47d183ca36c28839043
Homepage: https://cran.r-project.org/package=mineCitrus
Description: CRAN Package 'mineCitrus' (Extract and Analyze Median Molecule Intensity from 'citrus'Output)
 Citrus is a computational technique developed for the analysis of high
 dimensional cytometry data sets. This package extracts, statistically
 analyzes, and visualizes marker expression from 'citrus' data. This code was
 used to generate data for Figures 3 and 4 in the forthcoming manuscript:
 Throm et al.  “Identification of Enhanced Interferon-Gamma Signaling in
 Polyarticular Juvenile Idiopathic Arthritis with Mass Cytometry”,
 JCI-Insight. For more information on Citrus, please see: Bruggner et al.
 (2014) <doi:10.1073/pnas.1408792111>. To download the 'citrus' package,
 please see <https://github.com/nolanlab/citrus>.

Package: r-cran-minedfind
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-minedfind_0.1.3-1.ca2004.1_all.deb
Size: 46180
MD5sum: 0547053c0603cd8066ebfbd190e5d091
SHA1: bd0b0f816a07c73bb19012c5070864cb23a4041d
SHA256: aef57b47023d1fa1385870f81987613b6073a5b6b4da7106136564e88b580f12
SHA512: 40a3d952dd9ea6c5561234bc7ebef3841b3bfddf86ac35bd544b9e2a935afa435687f87fe9fc322a789374775db7a33f5929622bc16fb790a34b35df7380b582
Homepage: https://cran.r-project.org/package=MinEDfind
Description: CRAN Package 'MinEDfind' (A Bayesian Design for Minimum Effective Dosing-Finding Trial)
 The nonparametric two-stage Bayesian adaptive design is a novel phase II
 clinical trial design for finding the minimum effective dose (MinED). This
 design is motivated by the top priority and concern of clinicians when
 testing a new drug, which is to effectively treat patients and minimize the
 chance of exposing them to subtherapeutic or overly toxic doses. It is used
 to design single-agent trials.

Package: r-cran-minesweeper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-gifski
Filename: pool/dists/focal/main/r-cran-minesweeper_1.0.1-1.ca2004.1_all.deb
Size: 61080
MD5sum: cf619851fec24b2a27a3845f57f55678
SHA1: b87d6ba37185526b9e57a43216f1d521b23d67bb
SHA256: 1db99ce37153b61cb4293c059682a9e3f948e0e77b2e78d0d6921b651d0f05fd
SHA512: 96b3f38b233e64dc04f5688af4894ad5eac49f384d33eca8129a8b405b4b4d8c364e13d5a05aba2c768e6308040b4ed2f3e08739841dc8c0e45206a582f7034d
Homepage: https://cran.r-project.org/package=minesweeper
Description: CRAN Package 'minesweeper' (Play Minesweeper)
 Play and record games of minesweeper using a graphics device that supports
 event handling.  Replay recorded games and save GIF animations of them.
 Based on classic minesweeper as detailed by Crow P. (1997)
 <https://minesweepergame.com/math/a-mathematical-introduction-to-the-game-of-minesweeper-1997.pdf>.

Package: r-cran-minesweepr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-complexheatmap, r-bioc-interactivecomplexheatmap, r-cran-dplyr, r-cran-gsignal, r-cran-mgc, r-cran-mmand, r-cran-hms, r-cran-rlang, r-cran-pals
Filename: pool/dists/focal/main/r-cran-minesweepr_0.1.1-1.ca2004.1_all.deb
Size: 62120
MD5sum: 026e9701d15ee7fa407d78e6fb903bf3
SHA1: 7947dddd34af9eaa47a2faab299bac521615c403
SHA256: 240344dd4cb5bf456cdf86357c451bcbc31306efe56b3b913b31e57e1a35f4db
SHA512: aef5e4fe8dae55e8a455f6269a35bef66cd3d65c2ccd710a0fd841e3e9202f79b9f5c8882e3c4670d6602ed3e22f65e3420088c6c68ea84f4f20544798bcac16
Homepage: https://cran.r-project.org/package=mineSweepR
Description: CRAN Package 'mineSweepR' (Mine Sweeper Game)
 This is the very popular mine sweeper game! The game requires you to find
 out tiles that contain mines through clues from unmasking neighboring tiles.
 Each tile that does not contain a mine shows the number of mines in its
 adjacent tiles. If you unmask all tiles that do not contain mines, you win
 the game; if you unmask any tile that contains a mine, you lose the game.
 For further game instructions, please run `help(run_game)` and check
 details. This game runs in X11-compatible devices with `grDevices::x11()`.

Package: r-cran-miney
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-miney_0.1-1.ca2004.1_all.deb
Size: 16028
MD5sum: 006401109c76329a75c0dda1d9998e3d
SHA1: 58325ac3ba157d1b0ef8dac5c601645167b9bfc9
SHA256: 8590cb561a2315f76074fb04f4235a0b936f3156212b0677cd1e1b5787e198be
SHA512: bcac5888aca0e09eaae374c93c8b5de8527a4ea524d2beada1947035289bb38c4b212903370cb83104be8cd15d44f5280efdcb3e0f93918299d1e8457eea080c
Homepage: https://cran.r-project.org/package=Miney
Description: CRAN Package 'Miney' (Implementation of the Well-Known Game to Clear Bombs from aGiven Field (Matrix))
 This package implements the core idea of games known as 'Minesweeper' on
 Microsoft Windows or 'KMines' for KDE on Unix-like operating systems.

Package: r-cran-minfactorial
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmc
Filename: pool/dists/focal/main/r-cran-minfactorial_0.1.0-1.ca2004.1_all.deb
Size: 19096
MD5sum: 8da7355934f64e92b242e68e7d94f9ec
SHA1: 55000a4319632e6f4c0729e77b0b46212d3128aa
SHA256: 2c36205e4c21789142815fa42b1fd43a931450fba7cd36c2f983095a8cc017a6
SHA512: 606e630e217275e8e7c828baece6ca535857e65275ef41e4d93b71888530ff9e8d2dec651a5332a61a8b9d50c31ef0d10f74c5ab139c42bb678f3672ad7d232e
Homepage: https://cran.r-project.org/package=minFactorial
Description: CRAN Package 'minFactorial' (All Possible Minimally Changed Factorial Run Orders)
 In many agricultural, engineering, industrial, post-harvest and processing
 experiments, the number of factor level changes and hence the total number
 of changes is of serious concern as such experiments may consists of
 hard-to-change factors where it is physically very difficult to change
 levels of some factors or sometime such experiments may require
 normalization time to obtain adequate operating condition. For this reason,
 run orders that offer the minimum number of factor level changes and at the
 same time minimize the possible influence of systematic trend effects on the
 experimentation have been sought. Factorial designs with minimum changes in
 factors level may be preferred for such situations as these minimally
 changed run orders will minimize the cost of the experiments. For method
 details see, Bhowmik, A.,Varghese, E., Jaggi, S. and Varghese, C.
 (2017)<doi:10.1080/03610926.2016.1152490>.This package used to construct all
 possible minimally changed factorial run orders for different experimental
 set ups along with different statistical criteria to measure the performance
 of these designs. It consist of the function minFactDesign().

Package: r-cran-minicran
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-igraph, r-cran-assertthat
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-mockery, r-cran-testthis, r-cran-roxygen2, r-cran-mockr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-minicran_0.3.1-1.ca2004.1_all.deb
Size: 406000
MD5sum: 5f4074b274aac9309dba9187c26eed0d
SHA1: 3f28e6b3cb879cafc5ebb164af3d79e67985376f
SHA256: 4779d9e41fc03689869c5e9c9b1f76a1999a06b9fbb9cf1bf3bb373b32a03da6
SHA512: ca6c995395afd011d8dabf88c4f6088d953c0f12b183154e22bed88b25fc6af6828f52b086336e2040cd710a178abdd7c443d20aaaa67dc8661444c242137b59
Homepage: https://cran.r-project.org/package=miniCRAN
Description: CRAN Package 'miniCRAN' (Create a Mini Version of CRAN Containing Only Selected Packages)
 Makes it possible to create an internally consistent repository consisting
 of selected packages from CRAN-like repositories.  The user specifies a set
 of desired packages, and 'miniCRAN' recursively reads the dependency tree
 for these packages, then downloads only this subset. The user can then
 install packages from this repository directly, rather than from CRAN.  This
 is useful in production settings, e.g. server behind a firewall, or remote
 locations with slow (or zero) Internet access.

Package: r-cran-minidown
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-katex, r-cran-knitr, r-cran-mime, r-cran-rmarkdown, r-cran-sass, r-cran-xfun
Suggests: r-cran-callr, r-cran-dplyr, r-cran-purrr, r-cran-shiny, r-cran-testthat, r-cran-tidyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-minidown_0.4.0-1.ca2004.1_all.deb
Size: 83876
MD5sum: fa27656641de7375779dbbba298f7e40
SHA1: 5189f0cad207aff2a88b4adef499c05f60d1f130
SHA256: 5a5b513e9857fd9a22e4eb7d448498de0eb371ace05dfb1315da932cb930182d
SHA512: 60fe5d71a7eac55f9550bc63b5dd6c791a0a901cbbf29e3e2d28cccd484d904d97dbbc04d91221d26d64f2fdb9db7aa3b84db0805e9cbe80e62b4cf7497717c0
Homepage: https://cran.r-project.org/package=minidown
Description: CRAN Package 'minidown' (Create Simple Yet Powerful HTML Documents with Light Weight CSSFrameworks)
 Create minimal, responsive, and style-agnostic HTML documents with the
 lightweight CSS frameworks such as 'sakura', 'Water.css', and 'spcss'.
 Powerful features include table of contents floating as a sidebar, folding
 codes and results, and more.

Package: r-cran-minigui
Architecture: all
Version: 0.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minigui_0.8-1-1.ca2004.1_all.deb
Size: 48796
MD5sum: 6d7171915b04fab5210ccce6264174e7
SHA1: 67e319c071cb69b0863eae957ab0e1a8bba4db68
SHA256: c68b3ac1dbea210adabbeeca73bf1339d884ebc5dc7a423df5f3b16d834a4bff
SHA512: 71da9b9eac7530ed8197b312e8fdedb6961a22d497b934cfb585f1adbc1c655858d7b173fabc019dd9cab73585b349fdacbd3154f916544f37b99b8c496a2546
Homepage: https://cran.r-project.org/package=miniGUI
Description: CRAN Package 'miniGUI' (Tcl/Tk Quick and Simple Function GUI)
 Quick and simple Tcl/Tk Graphical User Interface to call functions. Also
 comprises a very simple experimental GUI framework.

Package: r-cran-minimalistgodb
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1973
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-minimalistgodb_1.1.0-1.ca2004.1_all.deb
Size: 1734696
MD5sum: 7b48c29d3a4e1631732e30226f66d8fa
SHA1: 5caffe740b206c88ef07532d59127331fb0ecb2a
SHA256: b83aedd247994c18c6f1b4d5738c76a04b1f92089fbfb1157d65912d397c02e5
SHA512: becba473ea02ff1043a344baaf10a3c248ab7ccc3bcb95a44bbf449c7c4574f0cb33653576a0c9a893ba24166ac43fc9da1efad073222c339cbfce4a96f12379
Homepage: https://cran.r-project.org/package=minimalistGODB
Description: CRAN Package 'minimalistGODB' (Build a Minimalist Gene Ontology (GO) Database (GODB))
 Normally building a GODB is fairly complicated, involving downloading
 multiple database files and using these to build e.g. a 'mySQL' database.
 Accessing this database is also complicated, involving an intimate knowledge
 of the database in order to construct reliable queries.  Here we have a more
 modest goal, generating GOGOA3, which is a stripped down version of the GODB
 that was originally restricted to human genes as designated by the HUGO Gene
 Nomenclature Committee (HGNC) (see <https://geneontology.org/>). I have now
 added about two dozen additional species, namely all species represented on
 the Gene Ontology download page
 <https://current.geneontology.org/products/pages/downloads.html>.  This
 covers most of the model organisms that are commonly used in bio-medical and
 basic research (assuming that anyone still has a grant to do such research).
 This can be built in a matter of seconds from 2 easily downloaded files (see
 <https://current.geneontology.org/products/pages/downloads.html> and
 <https://geneontology.org/docs/download-ontology/>), and it can be queried
 by e.g.  w<-which(GOGOA3[,"HGNC"] %in% hgncList) where GOGOA3 is a matrix
 representing the minimalist GODB and hgncList is a list of gene identifiers.
 This database will be used in my upcoming package 'GoMiner' which is based
 on my previous publication (see Zeeberg, B.R., Feng, W., Wang, G. et al.
 (2003)<doi:10.1186/gb-2003-4-4-r28>).  Relevant .RData files are available
 from GitHub (<https://github.com/barryzee/GO/tree/main/databases>).

Package: r-cran-minimalrsd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minimalrsd_1.0.0-1.ca2004.1_all.deb
Size: 26064
MD5sum: 5e031cd3eb1f3f3c8a4fdded59b496d4
SHA1: 749285909fcef40fc4ad6fc6071cbb8fa83a0414
SHA256: 79fb1f86696eaf47d010cc5f04385625f1601683ce8b0396124f8738a780fe52
SHA512: 19d223e38e5ce913e186c5e1e1ca4249fdb185f0eef191e2fcb6a07d5a65795983d18a3107e2ed2a83d50c48650c69526fba7d81e914608cd6566298bae67852
Homepage: https://cran.r-project.org/package=minimalRSD
Description: CRAN Package 'minimalRSD' (Minimally Changed CCD and BBD)
 Generate central composite designs (CCD)with full as well as fractional
 factorial points (half replicate) and Box Behnken designs (BBD) with
 minimally changed run sequence.

Package: r-cran-minimap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-minimap_0.1.0-1.ca2004.1_all.deb
Size: 48220
MD5sum: 8677ff03d187a9db2f015c39d2df54bf
SHA1: d262ce2a7db14f7c5b1a9e356cd8f576ea9bbe4a
SHA256: 28e1efe111c8a8e11d37e9f362bdcbde2397216cfb5cefe885482d52ff5f603b
SHA512: 4ae22a587871946cfe0e08d7955e58c59b45ecfde4117e45023845b3ee64f937cb18cd59ac8e4d50bd0ad8f795bcfde5d5ce9d60b1e97f611adb8d6e79b62543
Homepage: https://cran.r-project.org/package=minimap
Description: CRAN Package 'minimap' (Create Tile Grid Maps)
 Create tile grid maps, which are like choropleth maps except each region is
 represented with equal visual space.

Package: r-cran-minimapr
Architecture: all
Version: 0.0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-rsamtools, r-cran-pafr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-minimapr_0.0.1.3-1.ca2004.1_all.deb
Size: 35364
MD5sum: c9454bcdc6fc4fcad2a69a2a2327d53f
SHA1: 468b8066b55944b34ee9e07c72bba266b1017dd3
SHA256: 8a8ced3901f5b2abb58b0f4e99fb67371f8210cbee9a416fe3e5794998a22ca6
SHA512: d4a38896265f9bcfe188dbfb5df1964448925a3cfb45af012e602b1c6efe3109cafdd029423673fa49c5b4dd024a0015896c2ddb9bc867dfce0e271f055fdc3f
Homepage: https://cran.r-project.org/package=minimapR
Description: CRAN Package 'minimapR' (Wrapper for 'minimap2')
 Wrapper for 'Minimap2'. 'Minimap2' is a very valuable long read aligner for
 the Pacbio and Oxford Nanopore Technologies sequencing platforms. 'minimapR'
 is an R wrapper for 'minimap2' which was developed by Heng Li
 <me@liheng.org>.  *SPECIAL NOTES 1. Examples can only be run from 'GitHub'
 installation.  2. 'conda' or 'mamba' must be used to install 'minimapR' on
 your system.  3. For Windows users, 'minimap2' and 'samtools' can be
 installed via MSYS2, instructions are provided when
 'minimap2_installation()' is run.  Li, Heng (2018)
 <doi:10.1093/bioinformatics/bty191> "Minimap2: pairwise alignment for
 nucleotide sequences".

Package: r-cran-minimax
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minimax_1.1.1-1.ca2004.1_all.deb
Size: 18508
MD5sum: 1d9baf8dd9df8f5d0499e4f3c313022c
SHA1: 2742db22577293fd8d526364d812ec90e1b98048
SHA256: df7353ac52608c8e3321093df4eab3b77b37894300278b5df09b77e8c2fe8e56
SHA512: 16fb24f0c177150d5dd1ee82641d6147b47eaf40351b2e975e886f6f782ea44549038a1356b194e19df11c3809233f841b13761b44d654897cd4e1d20a4a3797
Homepage: https://cran.r-project.org/package=minimax
Description: CRAN Package 'minimax' (The Minimax Distribution Family)
 The minimax family of distributions is a two-parameter family like the beta
 family, but computationally a lot more tractible.

Package: r-cran-minimeta
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-colourpicker, r-cran-rhandsontable, r-cran-metafor, r-cran-markdown, r-cran-writexls, r-cran-readxl, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-minimeta_0.3.2-1.ca2004.1_all.deb
Size: 398224
MD5sum: b6129e1c013e36a6d6c2b59c773de4ea
SHA1: e02eaa003d6370bd0e58a145f9cbc66a7623928a
SHA256: c481f218834033dc6565c5e5630833e7ade17f96ed6513b249d80e3fb713995a
SHA512: abcc6ce9a400139f7579e120aad9227b281d9099d18e715d94b77d8f5e007e38d675d544c79032b3249676f914cbc1dd4c94a913aad90f6a46c85dc5f2081ffe
Homepage: https://cran.r-project.org/package=miniMeta
Description: CRAN Package 'miniMeta' (Web Application to Run Meta-Analyses)
 Shiny web application to run meta-analyses.  Essentially a graphical
 front-end to package 'meta' for R.  Can be useful as an educational tool,
 and for quickly analyzing and sharing meta-analyses.  Provides output to
 quickly fill in GRADE (Grading of Recommendations, Assessment, Development
 and Evaluations) Summary-of-Findings tables.  Importantly, it allows further
 processing of the results inside R, in case more specific analyses are
 needed.

Package: r-cran-minimist
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Filename: pool/dists/focal/main/r-cran-minimist_0.1-1.ca2004.1_all.deb
Size: 10952
MD5sum: 1c7bff168c97334b5e36ca19abb037ef
SHA1: 04a878e4472cc34bc393842f4e6c566f4fff905b
SHA256: 00898e6d7e9244d5149a0f3e6cdaaba261d61b2696443b031380ac146dfc06d1
SHA512: 9867166bd6ef91f89ecc366d4ce42b6120e0a101274e2ba41ed99116916b2356945a1061c3cfcf9c01a509cc84256446f847f14b10566bcffcef92151f4c1e33
Homepage: https://cran.r-project.org/package=minimist
Description: CRAN Package 'minimist' (Parse Argument Options)
 A binding to the minimist JavaScript library. This module implements the
 guts of optimist's argument parser without all the fanciful decoration.

Package: r-cran-minioclient
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fs, r-cran-glue, r-cran-processx, r-cran-jsonlite
Suggests: r-cran-spelling, r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-minioclient_0.0.6-1.ca2004.1_all.deb
Size: 65832
MD5sum: b1c2aa500306662cd7ccd1caaaaaca3b
SHA1: 4ce914378ec24d5e0a88d389f995ab08d19c7dab
SHA256: 3f812fe1873b4fcd5169b8c5ec38077406d19137533d7f2322cf784cd559beef
SHA512: 6703b8bd2f1453e5df09578b8080a1e42f237b445bf3983c92640f2c9dc8b124f081de85d8b9f4ab8991bbf1e1d0585f685c1bd277ca16ee9b763dc2accd8746
Homepage: https://cran.r-project.org/package=minioclient
Description: CRAN Package 'minioclient' (Interface to the 'MinIO' Client)
 An R interface to the 'MinIO' Client. The 'MinIO' Client ('mc') provides a
 modern alternative to UNIX commands like 'ls', 'cat', 'cp', 'mirror',
 'diff', 'find' etc. It supports 'filesystems' and Amazon "S3" compatible
 cloud storage service ("AWS" Signature v2 and v4).  This package provides
 convenience functions for installing the 'MinIO' client and running any
 operations, as described in the official documentation,
 <https://min.io/docs/minio/linux/reference/minio-mc.html?ref=docs-redirect>.
 This package provides a flexible and high-performance alternative to
 'aws.s3'.

Package: r-cran-minirand
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minirand_0.1.3-1.ca2004.1_all.deb
Size: 21512
MD5sum: 8485ef0b76c6256a20650096c5c4f372
SHA1: 983f557caf02c3215f63a605addad4df47cfe6ed
SHA256: 0917ab267786b2d087be4e47e10aa7fb4d775b7ec775f450018df5e2f8145840
SHA512: 4634dd5b7f4b96229c5a87ace22c15f9c28f46d008d242df52ab54a8f27863e7fb4954ed0689883a6e6cf0dca60bbd4983a21c5bfe340b18c64f301c5b4adf92
Homepage: https://cran.r-project.org/package=Minirand
Description: CRAN Package 'Minirand' (Minimization Randomization)
 Randomization schedules are generated in the schemes with k (k>=2) treatment
 groups and any allocation ratios by minimization algorithms.

Package: r-cran-miniui
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-miniui_0.1.2-1.ca2004.1_all.deb
Size: 35880
MD5sum: 8a874fda00a00f2dba522330e42e3474
SHA1: 9e73a517dfcfe934eb48a0867ceab29ab3097a43
SHA256: 23b1592c5ce63fffdf3623ddab49b7a9ca5cc869fec2cb07387f1614e092a651
SHA512: e626215dac63c613609c61032d163f5cb96a2feeb624ca76b473a62ca4d8373cf1c973cb6262fcbf377c82648ceef81f89be350ab68eb756ddba020a15b8db0a
Homepage: https://cran.r-project.org/package=miniUI
Description: CRAN Package 'miniUI' (Shiny UI Widgets for Small Screens)
 Provides UI widget and layout functions for writing Shiny apps that work
 well on small screens.

Package: r-cran-minque
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minque_2.0.0-1.ca2004.1_all.deb
Size: 228364
MD5sum: e9b6252bfa742528ccdef0e88789a94c
SHA1: 75081b8bf1c35aebecbae4be1750f7a3d269f5d8
SHA256: f69248b607fe692f9a730afb25f9f867386e32d637a440c8674a7930a7cfbb7c
SHA512: 0772de4076b2bb6578d467f95d11a87f499f533bb92af057b2649c76f8de05773a59266cc7191078962a7424902391e0d1416d3f1aa97a9442acf152faad5509
Homepage: https://cran.r-project.org/package=minque
Description: CRAN Package 'minque' (Various Linear Mixed Model Analyses)
 This package offers three important components: (1) to construct a
 use-defined linear mixed model, (2) to employ one of linear mixed model
 approaches: minimum norm quadratic unbiased estimation (MINQUE) (Rao, 1971)
 for variance component estimation and random effect prediction; and (3) to
 employ a jackknife resampling technique to conduct various statistical
 tests. In addition, this package provides the function for model or data
 evaluations.This R package offers fast computations for large data sets
 analyses for various irregular data structures.

Package: r-cran-minsample1
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-minsample1_0.1.0-1.ca2004.1_all.deb
Size: 22668
MD5sum: 15b04e71df1af52bd287cf71f9a7396e
SHA1: 515f9bf505a3aad04f9adfe6ba81ea6255dbdd45
SHA256: 8cff0e239936a5de420763f265ed7aafcf8a512f7c4a25d7fd7e8ff47b4e91b5
SHA512: 54127b11c9196d229a93289c682c8c09aaf6c4f5bf91c25fa25b22c5d144cba6c9125dd734a93687458953d56bf6bcbc6f6fb0888d66c698207fe4e5501e98a4
Homepage: https://cran.r-project.org/package=minsample1
Description: CRAN Package 'minsample1' (The Minimum Sample Size)
 Using this package, one can determine the minimum sample size required so
 that the absolute deviation of the sample mean and the population mean of a
 distribution becomes less than some pre-determined epsilon, i.e. it helps
 the user to determine the minimum sample size required to attain the
 pre-fixed precision level by minimizing the difference between the sample
 mean and population mean.

Package: r-cran-minsample2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-minsample2_0.1.0-1.ca2004.1_all.deb
Size: 22564
MD5sum: 30ccd5d177f6f0d44317e1d4b3db3778
SHA1: 7e4812b4a7d5658a21d19f0cb98e65a653f2976d
SHA256: 7132e40edbab443dc307c6b8f11a9717ca0168cab546a054e77826bb5d26591b
SHA512: 6b43790d65500d19dd6de9e0ee88ccd324c34810a45cea9eb3ffd29393691980034edbd23e98abdd516cafcadd0b7b7bf72473ffa4daf59ea5a893882a95e36d
Homepage: https://cran.r-project.org/package=minsample2
Description: CRAN Package 'minsample2' (The Minimum Sample Size)
 Using this package, one can determine the minimum sample size required so
 that the mean square error of the sample mean and the population mean of a
 distribution becomes less than some pre-determined epsilon, i.e. it helps
 the user to determine the minimum sample size required to attain the
 pre-fixed precision level by minimizing the difference between the sample
 mean and population mean.

Package: r-cran-minsnps
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3692
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biocparallel, r-cran-data.table
Suggests: r-cran-knitr, r-cran-testthat, r-cran-pkgdown, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-minsnps_0.2.0-1.ca2004.1_all.deb
Size: 345144
MD5sum: fe37cec9078ab6f6802313ab95fee273
SHA1: 330b6cdc3ee375c01d6f8832c5fa109f29b5b7cb
SHA256: d2fe766af53afa9f17905e4d022df29396df45b555e0da337ce23cc2e082b07b
SHA512: 3ff458b48a630357b33a1776cdf69c6ba2ecd6576885deddf9b134493d92bd86b0fad67816fb285d60e2a7def769bfa4fef3c0e1103210632dc60e22eea69a5f
Homepage: https://cran.r-project.org/package=minSNPs
Description: CRAN Package 'minSNPs' (Resolution-Optimised SNPs Searcher)
 This is a R implementation of "Minimum SNPs" software as described in "Price
 E.P., Inman-Bamber, J., Thiruvenkataswamy, V., Huygens, F and Giffard, P.M."
 (2007) <doi:10.1186/1471-2105-8-278> "Computer-aided identification of
 polymorphism sets diagnostic for groups of bacterial and viral genetic
 variants."

Package: r-cran-mint
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-trust, r-cran-mass, r-cran-testthat
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mint_1.0.1-1.ca2004.1_all.deb
Size: 45300
MD5sum: 61be1e64f4db3bedb4187cd7e947afe6
SHA1: e7eff130baa67f8803204f995eacd1aeefb27aef
SHA256: 5aec55ddf65dd09f02f9bf0756e114117f796a0e4ed60da9b28245a7d6047d56
SHA512: 6fb7f7ce5ba107c2cb3a630fac7c11a01e1d288abb893df2ad1ec1541eed536ec3806eff31529dd6adbb4adebcabe3b1867b0f463f855f4e20ff4971dacfcfbc
Homepage: https://cran.r-project.org/package=MInt
Description: CRAN Package 'MInt' (Learn Direct Interaction Networks)
 Learns direct microbe-microbe interaction networks using a Poisson
 multivariate-normal hierarchical model with an L1 penalized precision
 matrix. Optimization is carried out using an iterative conditional modes
 algorithm.

Package: r-cran-mintplates
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2361
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mintplates_1.0.1-1.ca2004.1_all.deb
Size: 2386464
MD5sum: 9bf7296b8f7223d22b6d15a53b898f00
SHA1: 30f5ec021f149c1aacdda3d6fe65d1e3326ab815
SHA256: d462f0832b7e2b9350a95b202cd5d17b99accd56908dd0adbed2076a054eaa33
SHA512: 2afedfedb51f7c1c1b4260746405d730c899fcec677e13c09852294c4d49b6b0b3b1d15b6f21b3e561bada59233352e8da390d5089ebeed9f621b6aea3f315f3
Homepage: https://cran.r-project.org/package=MINTplates
Description: CRAN Package 'MINTplates' (Encode "License-Plates" from Sequences and Decode Them Back)
 It can be used to create/encode molecular "license-plates" from sequences
 and to also decode the "license-plates" back to sequences.  While initially
 created for transfer RNA-derived small fragments (tRFs), this tool can be
 used for any genomic sequences including but not limited to: tRFs,
 microRNAs, etc. The detailed information can reference to Pliatsika V, Loher
 P, Telonis AG, Rigoutsos I (2016) <doi:10.1093/bioinformatics/btw194>. It
 can also be used to annotate tRFs. The detailed information can reference to
 Loher P, Telonis AG, Rigoutsos I (2017) <doi:10.1038/srep41184>.

Package: r-cran-mintyr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1073
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-data.table, r-cran-dplyr, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-rsample, r-cran-rstatix, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mintyr_0.1.0-1.ca2004.1_all.deb
Size: 700784
MD5sum: f09acecc36f932f8604fa9486a2706c7
SHA1: ca48d6a39022763779072b407a47df9a443f5c80
SHA256: ac0a816de64df50f2e66995df0a112d5d8623c666f90d37892066c47163e5f78
SHA512: 5fcc9f82e634402a6a3f231d7c7556b1658822d654ea34930546d09585bf6982c5601e024c6565708c8766e2ba34aba91e5f80979cb755b03daf278e99c478d7
Homepage: https://cran.r-project.org/package=mintyr
Description: CRAN Package 'mintyr' (Streamlined Data Processing Tools for Genomic Selection)
 A toolkit for genomic selection in animal breeding with emphasis on
 multi-breed and multi-trait nested grouping operations.  Streamlines
 iterative analysis workflows when working with 'ASReml-R' package.  Includes
 utility functions for phenotypic data processing commonly used by animal
 breeders.

Package: r-cran-minval
Architecture: all
Version: 0.8-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1627
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-sybil, r-cran-glpkapi
Filename: pool/dists/focal/main/r-cran-minval_0.8-2-1.ca2004.1_all.deb
Size: 355716
MD5sum: 040f003d6727984acadf501218c2886e
SHA1: 042f47202d987deb02f6adabb5a1f0d456a5423d
SHA256: 641447bbb8bf442524db855ada74d4393b446dc6396b57961648f8bad98b6449
SHA512: fa7e27da326f1dc8f7dab3fd961c2c24979e36c0005980f1f76a849b6882739326664b083ec14b03624cf38eacb201393a4c36c5bab427de11c0275d27319275
Homepage: https://cran.r-project.org/package=minval
Description: CRAN Package 'minval' (MINimal VALidation for Stoichiometric Reactions)
 For a given set of stoichiometric reactions, this package evaluates the mass
 and charge balance, extracts all reactants, products, orphan metabolites,
 metabolite names and compartments. Also are included some options to
 characterize and write models in TSV and SBML formats.

Package: r-cran-minxent
Architecture: all
Version: 0.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-minxent_0.01-1.ca2004.1_all.deb
Size: 16156
MD5sum: da1981aa0501888d5949821da8183e67
SHA1: bcbde89116b9a027f4a2946e107fe9bf19858d86
SHA256: 4ad5ee745cad5fbd3668acfeb6d6bc81728c4d39355c55730316f9697720e9dc
SHA512: a55ef47ec88ad45cb6652567a93646c165ae80484fbfad640b16c155a4e81523e451a32d03a1f6d12109db514de5eb6eeff4a34be74917b5a03496604a5214f0
Homepage: https://cran.r-project.org/package=minxent
Description: CRAN Package 'minxent' (Entropy Optimization Distributions)
 This package implements entropy optimization distribution under specified
 constraints. It also offers an R interface to the MinxEnt and MaxEnt
 distributions.

Package: r-cran-mipfp
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cmm, r-cran-rsolnp, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-mipfp_3.2.1-1.ca2004.1_all.deb
Size: 368992
MD5sum: 283ab1235fff9d68b79912581f0bfad7
SHA1: f6fb4c3bc1ebdfcf421060e7f9e483f1f00366d9
SHA256: 2d9cf8b8a46af15cb70c4cdecc72e09b47236b8e77a5440119e9f9c45d8b39e6
SHA512: 221168b01cb4cf45cc090cbafa3f3e22bf7a5de4cb3351daa2a70bd9d8db783d49483fc691c230f8bfb6ed6e2a354d711c279b7c93ad23ed29a87c09476d787f
Homepage: https://cran.r-project.org/package=mipfp
Description: CRAN Package 'mipfp' (Multidimensional Iterative Proportional Fitting and AlternativeModels)
 An implementation of the iterative proportional fitting (IPFP), maximum
 likelihood, minimum chi-square and weighted least squares procedures for
 updating a N-dimensional array with respect to given target marginal
 distributions (which, in turn can be multidimensional). The package also
 provides an application of the IPFP to simulate multivariate Bernoulli
 distributions.

Package: r-cran-mipheno
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doby, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-mipheno_1.2-1.ca2004.1_all.deb
Size: 33780
MD5sum: 2f9681f01e43fca114644052b522c24c
SHA1: 9c291143123de7bc01cf983b16f566b5e0986b21
SHA256: 7ac878e43d542c997733c8b8bdf9c038e60cbe41cd3366ca3bc2aedcc14e7c58
SHA512: 7d751b06294d45c3ca225a98aace3ca168bf9d3adb59862aea0e058c3a9394c0631a585247919a7022d3d4f67484f788c35685f89dbe50c67d14fa60941f9fd7
Homepage: https://cran.r-project.org/package=MIPHENO
Description: CRAN Package 'MIPHENO' (Mutant Identification through Probabilistic High throughputEnabled NOrmalization)
 This package contains functions to carry out processing of high throughput
 data analysis and detection of putative hits/mutants.  Contents include a
 function for post-hoc quality control for removal of outlier sample sets, a
 median-based normalization method for use in datasets where there are no
 explicit controls and where most of the responses are of the wildtype/no
 response class (see accompanying paper).  The package also includes a way to
 prioritize individuals of interest using am empirical cumulative
 distribution function.  Methods for generating synthetic data as well as
 data from the Chloroplast 2010 project are included.

Package: r-cran-mipplot
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2868
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stringr, r-cran-tidyr, r-cran-shinywidgets, r-cran-data.table, r-cran-readxl, r-cran-shiny.i18n, r-cran-showtextdb, r-cran-shinyalert, r-cran-readr, r-cran-showtext, r-cran-shiny, r-cran-reshape, r-cran-rlang, r-cran-dplyr, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-mipplot_0.3.1-1.ca2004.1_all.deb
Size: 1133860
MD5sum: 0bb8393b6c1636a22468805274d14e9f
SHA1: 908ca4f35cc5d9f00931067aadbece64ae5b34a1
SHA256: e5298a228da646e6d1a550d8089ccf7e3dea4bf7778e5242117ff2dc145706b5
SHA512: 00e9ae32716ef930779bea400d73bfe96bfbabedd545923d6a7e2994abb3c11f704fd8669a32dfd45473755450e82c5f7f358df17a94256c840189284a86a1c7
Homepage: https://cran.r-project.org/package=mipplot
Description: CRAN Package 'mipplot' (An Open-Source Tool for Visualization of Climate MitigationScenarios)
 Generic functions to produce area/bar/box/line plots of data following IAMC
 (Integrated Assessment Modeling Consortium) submission format.

Package: r-cran-mirai.promises
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nanonext, r-cran-promises
Suggests: r-cran-mirai
Filename: pool/dists/focal/main/r-cran-mirai.promises_0.5.0-1.ca2004.1_all.deb
Size: 18776
MD5sum: 20fce8d09b089af8228e89ed40721875
SHA1: cc58d834181ff658d844c7a6adb672df3ab6fb2e
SHA256: 0950d9d6474827c78b94daac1d1e3b29649600e302b5c1f2c6fa9b6380d75ff6
SHA512: cac6b07509cf5b069c08861af688d52879cb6b6e588ebbf0720f00677324e655225434d982a7adc1592e91fa5a0e85a71f91331a7c5b9da53697baa230f1f1f0
Homepage: https://cran.r-project.org/package=mirai.promises
Description: CRAN Package 'mirai.promises' (Make 'Mirai' 'Promises')
 Allows 'mirai' objects encapsulating asynchronous computations, from the
 'mirai' package by Gao (2023) <doi:10.5281/zenodo.7912722>, to be used
 interchangeably with 'promise' objects from the 'promises' package by Cheng
 (2021) <https://CRAN.R-project.org/package=promises>. This facilitates their
 use with packages 'plumber' by Schloerke and Allen (2022)
 <https://CRAN.R-project.org/package=plumber> and 'shiny' by Cheng, Allaire,
 Sievert, Schloerke, Xie, Allen, McPherson, Dipert and Borges (2022)
 <https://CRAN.R-project.org/package=shiny>.

Package: r-cran-mirai
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nanonext
Suggests: r-cran-cli, r-cran-litedown
Filename: pool/dists/focal/main/r-cran-mirai_2.4.0-1.ca2004.1_all.deb
Size: 260288
MD5sum: a32c6ede9e834ff53ae4f62608f55cda
SHA1: 2b6ea44420db7e12598ea503655a3c9ca756fa6e
SHA256: 760f1d8beee89a95126f849904fbf475059f2e9921a46b14ede067926d0ac2cc
SHA512: 0ee8f13cd67bf7a24cd6925f08f355eee8069c8eb3d700adc9269eb447636ad67efa0c55eb52804c5df44071e14a5e84d4e99b5a0964342bcb77e45d2e7915e0
Homepage: https://cran.r-project.org/package=mirai
Description: CRAN Package 'mirai' (Minimalist Async Evaluation Framework for R)
 Designed for simplicity, a 'mirai' evaluates an R expression asynchronously
 in a parallel process, locally or distributed over the network. Modern
 networking and concurrency, built on 'nanonext' and 'NNG', ensures reliable
 scheduling over fast inter-process communications or TCP/IP secured by TLS.
 Launch remote resources via SSH or cluster managers for distributed
 computing. The queued architecture scales efficiently to millions of tasks
 over thousands of connections, requiring no storage on the file system.
 Innovative features include event-driven promises, asynchronous parallel
 map, and seamless serialization of otherwise non-exportable reference
 objects.

Package: r-cran-mirecsurv
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-compoissonreg, r-cran-matrixstats, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-mirecsurv_1.0.2-1.ca2004.1_all.deb
Size: 61356
MD5sum: 15e0cfb758f1e7f6038f98fe3718e864
SHA1: 628012489133008efc78922b4fa60049d570d839
SHA256: b76d47d70cf75a4e02c59c6532cf891c8febf42b41553443a6643f417f82b3b9
SHA512: 09ef34a8fb52137497db10c939c338db05a517b240d7ed18891c55a030f934e99a13b1389479f8ebee33b30eeba5c50b9fee767a6d9fec445f40fa9f7b680e4c
Homepage: https://cran.r-project.org/package=miRecSurv
Description: CRAN Package 'miRecSurv' (Left-Censored Recurrent Events Survival Models)
 Fitting recurrent events survival models for left-censored data with
 multiple imputation of the number of previous episodes.  See
 Hernández-Herrera G, Moriña D, Navarro A. (2020) <arXiv:2007.15031>.

Package: r-cran-miretrieve
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2375
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-openxlsx, r-cran-plotly, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-tidytext, r-cran-wordcloud, r-cran-xml2, r-cran-zoo
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-miretrieve_1.3.4-1.ca2004.1_all.deb
Size: 2374576
MD5sum: 045af482807a8ad3989f8e5c790393e2
SHA1: 88249a229b05185d9a42d89ebf5e59c9942589c0
SHA256: dc5c2a7f11a91a236b1e83e88e8964cf26b3481d2b234018ca3862739d405f27
SHA512: 4778fa88f28e554483e33597c72176d9d34f98163e8676cbd4e4bb45c81eb35031e934ffb961153fe12a4037418601ce2b7f051c585e4084b85f64b785cd060e
Homepage: https://cran.r-project.org/package=miRetrieve
Description: CRAN Package 'miRetrieve' (miRNA Text Mining in Abstracts)
 Providing tools for microRNA (miRNA) text mining.  miRetrieve summarizes
 miRNA literature by extracting, counting, and analyzing miRNA names, thus
 aiming at gaining biological insights into a large amount of text within a
 short period of time. To do so, miRetrieve uses regular expressions to
 extract miRNAs and tokenization to identify meaningful miRNA associations.
 In addition, miRetrieve uses the latest miRTarBase version 8.0 (Hsi-Yuan
 Huang et al. (2020) "miRTarBase 2020: updates to the experimentally
 validated microRNA–target interaction database" <doi:10.1093/nar/gkz896>) to
 display field-specific miRNA-mRNA interactions. The most important functions
 are available as a Shiny web application under
 <https://miretrieve.shinyapps.io/miRetrieve/>.

Package: r-cran-mirkat
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-compquadform, r-cran-quantreg, r-cran-gunifrac, r-cran-pearsonds, r-cran-lme4, r-cran-matrix, r-cran-permute, r-cran-mixtools, r-cran-survival
Suggests: r-cran-knitr, r-cran-vegan, r-cran-rmarkdown, r-cran-magrittr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-mirkat_1.2.3-1.ca2004.1_all.deb
Size: 369044
MD5sum: 10ca447a6aa540c80828d8b84498bd14
SHA1: b05a858cb6a0eeed10fa19b7be8cfb1f3f20b8f9
SHA256: 0786ed823274cd2d2fa4434da8d25ad60feb2be0d4809fa7a442891bbe984a6a
SHA512: 2504d49abd2b076dfb36181dd0e86f84b6dd96cd4ed3f2679a65d668aaabf0f671177321ecfe34daf3022ac8c8f2560aec4c03a26b54e1056eac086a75ad715a
Homepage: https://cran.r-project.org/package=MiRKAT
Description: CRAN Package 'MiRKAT' (Microbiome Regression-Based Kernel Association Tests)
 Test for overall association between microbiome composition data and
 phenotypes via phylogenetic kernels. The phenotype can be univariate
 continuous or binary (Zhao et al. (2015) <doi:10.1016/j.ajhg.2015.04.003>),
 survival outcomes (Plantinga et al. (2017) <doi:10.1186/s40168-017-0239-9>),
 multivariate (Zhan et al. (2017) <doi:10.1002/gepi.22030>) and structured
 phenotypes (Zhan et al. (2017) <doi:10.1111/biom.12684>).  The package can
 also use robust regression (unpublished work) and integrated quantile
 regression (Wang et al. (2021) <doi:10.1093/bioinformatics/btab668>).  In
 each case, the microbiome community effect is modeled nonparametrically
 through a kernel function, which can incorporate phylogenetic tree
 information.

Package: r-cran-mirnaqcd
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-proc, r-cran-qpdf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mirnaqcd_1.1.3-1.ca2004.1_all.deb
Size: 593032
MD5sum: 1c55d86e2c70a0d576a0e4a001fcac36
SHA1: 58c59ed05f1f789978c4a400b1be0fdb6eb87d07
SHA256: e53499e0a6afabbfd9f03c77b99afbdf3059bdcb654ed09cef2fe96e3385d074
SHA512: f0b481cb7983ab073dda4c7242fd2dff9200708f828dcf5e07b4b0660db7c213ca0c9596071fb3c6e33e1716148445f8cded4c0f3e33ee50d9c0c21f2367813e
Homepage: https://cran.r-project.org/package=MiRNAQCD
Description: CRAN Package 'MiRNAQCD' (Micro-RNA Quality Control and Diagnosis)
 A complete and dedicated analytical toolbox for quality control and
 diagnosis based on subject-related measurements of micro-RNA (miRNA)
 expressions. The package consists of a set of functions that allow to train,
 optimize and use a Bayesian classifier that relies on multiplets of measured
 miRNA expressions. The package also implements the quality control tools
 required to preprocess input datasets. In addition, the package provides a
 function to carry out a statistical analysis of miRNA expressions, which can
 give insights to improve the classifier's performance. The method
 implemented in the package was first introduced in L. Ricci, V. Del Vescovo,
 C. Cantaloni, M. Grasso, M. Barbareschi and M. A. Denti, "Statistical
 analysis of a Bayesian classifier based on the expression of miRNAs", BMC
 Bioinformatics 16:287, 2015 <doi:10.1186/s12859-015-0715-9>. The package is
 thoroughly described in M. Castelluzzo, A. Perinelli, S. Detassis, M. A.
 Denti and L. Ricci, "MiRNA-QC-and-Diagnosis: An R package for diagnosis
 based on MiRNA expression", SoftwareX 12:100569, 2020
 <doi:10.1016/j.softx.2020.100569>. Please cite both these works if you use
 the package for your analysis. DISCLAIMER: The software in this package is
 for general research purposes only and is thus provided WITHOUT ANY
 WARRANTY. It is NOT intended to form the basis of clinical decisions. Please
 refer to the GNU General Public License 3.0 (GPLv3) for further information.

Package: r-cran-mirrorselect
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-mirrorselect_0.0.3-1.ca2004.1_all.deb
Size: 15272
MD5sum: 337607b7c9206b82b5c3b30f31913f66
SHA1: d5ca925d2ec7d8612d542f187fe9b090513840c1
SHA256: 3edad2ef4feb62a8fc10606b98c0665cdc31886fe4855b93297578df76276630
SHA512: 1400e64a25c72adbf24a367c98d95578d258dcb7e08e07ba8d249d5485cf5c1929d64daaef18c17c40b85e981861e9ea526573d45517c3e74d60ae8dae7dd260
Homepage: https://cran.r-project.org/package=mirrorselect
Description: CRAN Package 'mirrorselect' (Test CRAN/Bioconductor Mirror Speed)
 Testing CRAN and Bioconductor mirror speed by recording download time of
 'src/base/COPYING' (for CRAN) and 'packages/release/bioc/html/ggtree.html'
 (for Bioconductor).

Package: r-cran-mirsea
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2044
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mirsea_1.1.1-1.ca2004.1_all.deb
Size: 1366992
MD5sum: 99ac3f2aaf0bafd05ca0b62bc7389cce
SHA1: 15f337fe90e34d6c539c05989026e2d47131945e
SHA256: 1d05390f08d3d97ee52edd52b0c2ef42600ac793eb14e9f452e025d0466c5648
SHA512: eabd6cdf456baa62517b610536a6e8ab1f6cf93d6bd7ca27913291e0c71416315237bf59aabfbc901ffbbef41440529d147938856097e238958424581f8d5231
Homepage: https://cran.r-project.org/package=MiRSEA
Description: CRAN Package 'MiRSEA' ('MicroRNA' Set Enrichment Analysis)
 The tools for 'MicroRNA Set Enrichment Analysis' can identify risk
 pathways(or prior gene sets) regulated by microRNA set in the context of
 microRNA expression data. (1) This package constructs a correlation profile
 of microRNA and pathways by the hypergeometric statistic test. The gene sets
 of pathways derived from the three public databases (Kyoto Encyclopedia of
 Genes and Genomes ('KEGG'); 'Reactome'; 'Biocarta') and the target gene sets
 of microRNA are provided by four databases('TarBaseV6.0'; 'mir2Disease';
 'miRecords'; 'miRTarBase';). (2) This package can quantify the change of
 correlation between microRNA for each pathway(or prior gene set) based on a
 microRNA expression data with cases and controls. (3) This package uses the
 weighted Kolmogorov-Smirnov statistic to calculate an enrichment score (ES)
 of a microRNA set that co-regulate to a pathway , which reflects the degree
 to which a given pathway is associated with the specific phenotype. (4) This
 package can provide the visualization of the results.

Package: r-cran-mirtest
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-corpcor, r-cran-mass, r-bioc-globaltest, r-bioc-globalancova, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-mirtest_2.1-1.ca2004.1_all.deb
Size: 448832
MD5sum: 4a5f3e501364f489fe667320792b1895
SHA1: 8e779cfc82fddc4f592d73fc282d302c6218da1f
SHA256: bbb3a653f2a0d46a7d9d75bd64d4d91f88e2f20cc64da2f4fdd304fb418f90f6
SHA512: fae098de829136008a9d04bf98b6d36a18fb1cb0817b38f5fef18f52ed071735428901b39c9d4da5f734e4283139a08d01ebb9faab802ccb5bcf8efc035aee66
Homepage: https://cran.r-project.org/package=miRtest
Description: CRAN Package 'miRtest' (Combined miRNA- And mRNA-Testing)
 Package for combined miRNA- and mRNA-testing.

Package: r-cran-mirtsvd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gparotation, r-cran-mirtjml
Filename: pool/dists/focal/main/r-cran-mirtsvd_1.0.1-1.ca2004.1_all.deb
Size: 25492
MD5sum: 8e13f632b79b10124012256d5cc83643
SHA1: d991f8718d4c89624c350b4cb2e27344bbad6b7d
SHA256: fdb44bf6af503b7795862f951f3833aca958d7613530bd43c7cc9005010144b1
SHA512: f58cc87a949481a75809d777bd588246f22e5f28ed84b061b44879efa7e5febd25540d23e31feb4acc3c49f5494846a99fbc78cc7b063744b1643c87b3c6c17b
Homepage: https://cran.r-project.org/package=mirtsvd
Description: CRAN Package 'mirtsvd' (SVD-Based Estimation for Exploratory Item Factor Analysis)
 Provides singular value decomposition based estimation algorithms for
 exploratory item factor analysis (IFA) based on multidimensional item
 response theory models. For more information, please refer to: Zhang, H.,
 Chen, Y., & Li, X. (2020). A note on exploratory item factor analysis by
 singular value decomposition. Psychometrika, 1-15,
 <DOI:10.1007/s11336-020-09704-7>.

Package: r-cran-misaem
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass, r-cran-norm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mice
Filename: pool/dists/focal/main/r-cran-misaem_1.0.1-1.ca2004.1_all.deb
Size: 116420
MD5sum: dbf85f0d136f83853764c7e10900fd12
SHA1: 84f37a56a3009b007d9cc53a39e27541c645ef85
SHA256: 3ad68496ce680931f3fbe7d50e8f8e8981bab687c34674c6ba648f7ed9d8195f
SHA512: 054e1bdfdf1d7de54805b71e0387e4f8d91a3f322d2450d17d1924dc9b30c4e96cecb814192b6beeef85e0e5039368df11d86d191e26c0d0abff9deb450b8ad6
Homepage: https://cran.r-project.org/package=misaem
Description: CRAN Package 'misaem' (Linear Regression and Logistic Regression with MissingCovariates)
 Estimate parameters of linear regression and logistic regression with
 missing covariates with missing data, perform model selection and
 prediction, using EM-type algorithms. Jiang W., Josse J., Lavielle M.,
 TraumaBase Group (2020) <doi:10.1016/j.csda.2019.106907>.

Package: r-cran-misc3d
Architecture: all
Version: 0.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rgl, r-cran-tkrplot, r-cran-mass
Filename: pool/dists/focal/main/r-cran-misc3d_0.9-1-1.ca2004.1_all.deb
Size: 237920
MD5sum: d1cbc606bbf798ea2cb3511eed783ce5
SHA1: bf66a6d94d594b74d731af7d79c3393d15e11ed6
SHA256: 560a8c1c4f7791052e8e31c1cba6061afb669c883761b7efa779e498c05e1d91
SHA512: e3e1d8699cb63aea91314c500aedc5b96583ab1498b4f35950d83aae49499d96d4c0f612028d9e06da1de48f0517f61caf41563aab226b862e6fed91973b03cd
Homepage: https://cran.r-project.org/package=misc3d
Description: CRAN Package 'misc3d' (Miscellaneous 3D Plots)
 A collection of miscellaneous 3d plots, including isosurfaces.

Package: r-cran-miscfuncs
Architecture: all
Version: 1.5-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-roxygen2, r-cran-mvtnorm, r-cran-extradistr
Suggests: r-cran-bayesgarch
Filename: pool/dists/focal/main/r-cran-miscfuncs_1.5-10-1.ca2004.1_all.deb
Size: 187612
MD5sum: 3992fadabcd727881ca2d579df60fd74
SHA1: f68ab834c9145ace61de7cbd8c0440a72e9adf20
SHA256: 1983689a99e5967813747ec01f932be6807722e3cfcb72c8a784547d0380bf11
SHA512: df7bf939fd34e57c349cf6505b97bce61eee9d6bffd0ece6a1fd03ad918ed2e02181c7a4b7b982330dac54dafaa10133e61d89012579dce49aaf5148f3a29ef0
Homepage: https://cran.r-project.org/package=miscFuncs
Description: CRAN Package 'miscFuncs' (Miscellaneous Useful Functions Including LaTeX Tables, KalmanFiltering, QQplots with Simulation-Based Confidence Intervals,Linear Regression Diagnostics and Development Tools)
 Implementing various things including functions for LaTeX tables, the Kalman
 filter, QQ-plots with simulation-based confidence intervals, linear
 regression diagnostics, web scraping, development tools, relative risk and
 odds rati, GARCH(1,1) Forecasting.

Package: r-cran-miscic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnls
Filename: pool/dists/focal/main/r-cran-miscic_0.1.0-1.ca2004.1_all.deb
Size: 43684
MD5sum: fb3e1186a34529118d58a66c39393de6
SHA1: 97713a9a01d6dc2fbbc578fcc772a96375fda839
SHA256: 5c869891c4999076460f2075ec790283d159d8d1d47a6a61f876a82721aed2c2
SHA512: 7dc7d203871509eab4738ca9e55d59da8067833fbeeddaa1b5a1d76b8d6c44edac6279278e2b3e1576745eee0ef1d7e940d469bad5b97880e1facd1e6b25b54e
Homepage: https://cran.r-project.org/package=miscIC
Description: CRAN Package 'miscIC' (Misclassified Interval Censored Time-to-Event Data)
 Estimation of the survivor function for interval censored time-to-event data
 subject to misclassification using nonparametric maximum likelihood
 estimation, implementing the methods of Titman (2017)
 <doi:10.1007/s11222-016-9705-7>. Misclassification probabilities can either
 be specified as fixed or estimated. Models with time dependent
 misclassification may also be fitted.

Package: r-cran-miscmetabar
Architecture: all
Version: 0.14.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3806
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-phyloseq, r-cran-ggplot2, r-bioc-dada2, r-cran-dplyr, r-cran-purrr, r-cran-ape, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-adespatial, r-bioc-ancombc, r-cran-biocmanager, r-bioc-biostrings, r-cran-circlize, r-cran-complexupset, r-bioc-decipher, r-bioc-deseq2, r-cran-devtools, r-cran-dt, r-bioc-edger, r-cran-formattable, r-cran-ggalluvial, r-cran-ggfittext, r-cran-gghalves, r-cran-ggh4x, r-cran-ggstatsplot, r-cran-ggridges, r-cran-ggvenndiagram, r-cran-glmulti, r-cran-gtsummary, r-cran-gridextra, r-cran-here, r-cran-httr, r-cran-inext, r-cran-indicspecies, r-bioc-iranges, r-cran-jsonlite, r-cran-knitr, r-cran-magrittr, r-bioc-mia, r-cran-mixtools, r-cran-multcompview, r-cran-networkd3, r-cran-pak, r-cran-patchwork, r-cran-pbapply, r-cran-permute, r-cran-phangorn, r-cran-phyloseqgraphtest, r-cran-pkgnet, r-cran-plotly, r-cran-plyr, r-cran-reshape2, r-cran-rmarkdown, r-cran-rotl, r-cran-rtsne, r-cran-scales, r-cran-seqinr, r-cran-srs, r-cran-stringr, r-bioc-summarizedexperiment, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-treemapify, r-cran-umap, r-cran-uwot, r-cran-vegan, r-cran-venneuler, r-cran-vctrs, r-cran-viridis, r-cran-withr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-miscmetabar_0.14.3-1.ca2004.1_all.deb
Size: 2628948
MD5sum: 1d8e2f1e136272ef6b5c1af2cbd02e4f
SHA1: e5decf44849fe460a4293a454fcef239a88919ec
SHA256: ede1e7adf0b58be693902f5d607b2bd68fea281e1139f1bb77cd2b05fcaf7b95
SHA512: b241281c325f86742ba958a84a2a81914a865c77361c9fdf9f37c6d6fa1b032884b76c87cd8bcf9c98aa66db37124e6bba27e737db84b19297ef3446a377bc58
Homepage: https://cran.r-project.org/package=MiscMetabar
Description: CRAN Package 'MiscMetabar' (Miscellaneous Functions for Metabarcoding Analysis)
 Facilitate the description, transformation, exploration, and reproducibility
 of metabarcoding analyses. 'MiscMetabar' is mainly built on top of the
 'phyloseq', 'dada2' and 'targets' R packages. It helps to build reproducible
 and robust bioinformatics pipelines in R. 'MiscMetabar' makes ecological
 analysis of alpha and beta-diversity easier, more reproducible and more
 powerful by integrating a large number of tools. Important features are
 described in Taudière A. (2023) <doi:10.21105/joss.06038>.

Package: r-cran-miscor
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-miscor_0.1-1-1.ca2004.1_all.deb
Size: 211220
MD5sum: 0cdac55798ce4f949beaa5428ddc6994
SHA1: b112a812456772ffdf93d7e2503f317ba9787d7c
SHA256: 819a65fd359938eaee897b232c7cb7cfb374c0fab74494acd3a6f5fbe20557ce
SHA512: 90fdb789f3e23ff159f3b23dd1fa171aa988230338ff9c72b747028f6360809826947e2f3cf2d92d8886f11510e88db8814e71ec607830eb572e3929143141a0
Homepage: https://cran.r-project.org/package=miscor
Description: CRAN Package 'miscor' (Miscellaneous Functions for the Correlation Coefficient)
 Statistical test for the product-moment correlation coefficient based on H0:
 rho = rho0 including sample size computation, statistical test for comparing
 the product-moment correlation coefficient in independent ad dependent
 samples, sequential triangular test for the product-moment correlation
 coefficient, partial and semipartial correlation, simulation of bivariate
 normal and non-normal distribution with a specified correlation.

Package: r-cran-misctools
Architecture: all
Version: 0.6-28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest
Suggests: r-cran-ecdat
Filename: pool/dists/focal/main/r-cran-misctools_0.6-28-1.ca2004.1_all.deb
Size: 87928
MD5sum: a4803c920d85638efcab212a354e74fd
SHA1: 5d297d62effd37d799326de87f4396353733dea4
SHA256: 9d995d1401dd1d309b94e9211ad83f4be6d232b0953993bd5bc91d77f15b2815
SHA512: f8cbd524d5c1c0ad3586b9a76c50c54b4fe98f5a9f9b715b3b882250a7799cacdd3f37b5b36b20168f1975c449ed2810e206b4a1bb7d3e02e2d0efc2acaa387b
Homepage: https://cran.r-project.org/package=miscTools
Description: CRAN Package 'miscTools' (Miscellaneous Tools and Utilities)
 Miscellaneous small tools and utilities.  Many of them facilitate the work
 with matrices, e.g. inserting rows or columns, creating symmetric matrices,
 or checking for semidefiniteness.  Other tools facilitate the work with
 regression models, e.g. extracting the standard errors, obtaining the number
 of (estimated) parameters, or calculating R-squared values.

Package: r-cran-mise
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mise_0.1.0-1.ca2004.1_all.deb
Size: 11244
MD5sum: 32e4f49a537854ae7bc11551278f4aa1
SHA1: 2fbf92a3098c2d7b7267661d0d5af4abf4c4d78a
SHA256: 85c8fd803aa3a5686145dc0a2f6c45c452cfc06c29ef2812c1e3f9c30ca2a3b1
SHA512: 0120d0bf00ff2ce42746914c121071177593e96a795dd2598544c8fc763a4452fca79b318c0b6bf588eacc29c6c990e7b881c4d7ba5a0420299dc0e092dbead7
Homepage: https://cran.r-project.org/package=mise
Description: CRAN Package 'mise' (Clears the Workspace (Mise en Place))
 Clears the workspace. Useful for the beginnings of R scripts, to avoid
 potential problems with accidentally using information from variables or
 functions from previous script evaluations, too many figure windows open at
 the same time, packages that you don't need any more, or a cluttered
 console.  Uses code from various StackOverflow users.  See help(mise) for
 pointers to the relevant StackOverflow pages.

Package: r-cran-miselect
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mice, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-miselect_0.9.2-1.ca2004.1_all.deb
Size: 144516
MD5sum: 49ff8b764be441aa16f158a560670ba7
SHA1: 296f62630b2437a42bb1a27db754b2035355aa8c
SHA256: 79d3a3dbb656ecbe68fb24e482b99890d94afef02355b78b5db9e7e0677f06f8
SHA512: 66f245c3b5a26420aad65a53c488b1ddd8a59b55042a6dfb9a22aee7afe144623fb20c8331cc8e6ce35876d4f6b47c0f1ce48864bbe90be044a46ada6bf30e46
Homepage: https://cran.r-project.org/package=miselect
Description: CRAN Package 'miselect' (Variable Selection for Multiply Imputed Data)
 Penalized regression methods, such as lasso and elastic net, are used in
 many biomedical applications when simultaneous regression coefficient
 estimation and variable selection is desired. However, missing data
 complicates the implementation of these methods, particularly when
 missingness is handled using multiple imputation. Applying a variable
 selection algorithm on each imputed dataset will likely lead to different
 sets of selected predictors, making it difficult to ascertain a final active
 set without resorting to ad hoc combination rules. 'miselect' presents
 Stacked Adaptive Elastic Net (saenet) and Grouped Adaptive LASSO (galasso)
 for continuous and binary outcomes, developed by Du et al (2022)
 <doi:10.1080/10618600.2022.2035739>. They, by construction, force selection
 of the same variables across multiply imputed data. 'miselect' also provides
 cross validated variants of these methods.

Package: r-cran-mispitools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forrel, r-cran-pedtools, r-cran-dplyr, r-cran-tidyr, r-cran-tidyverse, r-cran-dirichletreg, r-cran-purrr, r-cran-patchwork, r-cran-reshape2, r-cran-ggplot2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-mispitools_1.2.0-1.ca2004.1_all.deb
Size: 176300
MD5sum: bf5345f1475dca9c94433f69e58fb31d
SHA1: 7aad923747ede2ff29a3843e2ff09993cf36fbf3
SHA256: 3c78941edf9c6ee4e754c753bc0fdaa4e47916a4cd0ecf4fc4af66704071a9e3
SHA512: 8c099f966ec4822a15633aece635cb17cfe2778307a958b056a3fd98df1e274fe6ce80950f442a15f77da779a277269b6239ae4e348704617fa998812ad5c276
Homepage: https://cran.r-project.org/package=mispitools
Description: CRAN Package 'mispitools' (Missing Person Identification Tools)
 An open source software package written in R statistical language. It
 consist in a set of decision making tools to conduct missing person
 searches.  Particularly, it allows computing optimal LR threshold for
 declaring potential matches in DNA-based database search. More recently
 'mispitools' incorporates preliminary investigation data based LRs.
 Statistical weight of different traces of evidence such as biological sex,
 age and hair color are presented. For citing mispitools please use the
 following references: Marsico and Caridi, 2023
 <doi:10.1016/j.fsigen.2023.102891> and Marsico, Vigeland et al. 2021
 <doi:10.1016/j.fsigen.2021.102519>.

Package: r-cran-mispr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-mass, r-cran-penalized
Filename: pool/dists/focal/main/r-cran-mispr_1.0.0-1.ca2004.1_all.deb
Size: 147708
MD5sum: 99ddd38730e87a3beeeea957f34188c1
SHA1: fb150fb474bfa75f0a37c0111337e5491115fc4e
SHA256: ac15d048a82a7a15d79d0266843b5fe6f9d50e4376f193026450ab2bbcbd9c67
SHA512: 01f63e7426b1ee32be21d19e740e6fed5342aca84c3230f56232893062e3cf0013f1b89f53fbec8086d2584660a066dfbf0c16b3a4848703d7ab7df60c5526d2
Homepage: https://cran.r-project.org/package=mispr
Description: CRAN Package 'mispr' (Multiple Imputation with Sequential Penalized Regression)
 Generates multivariate imputations using sequential regression with L2
 penalty. For more details see Zahid and Heumann (2018)
 <doi:10.1177/0962280218755574>.

Package: r-cran-misprime
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-quadprog, r-cran-mass
Filename: pool/dists/focal/main/r-cran-misprime_0.1.0-1.ca2004.1_all.deb
Size: 46460
MD5sum: dca8c5a4e5661f1bd9d9a3a347a411f4
SHA1: 9a28e62fbc1b9924e3af016bd8b9c35b25703999
SHA256: 58ca5b0e859aeb79e03fb52f1e12603856b8a4d61402cf1378a36c6177bc7fe3
SHA512: b8248f7126f73a7be62473ad7bed58390c9b34ca8e83f3abb5e94253e21e13fb1118b50b1eb035e8b015b357d8042279e2edc740e671f33ec6e82254991066c0
Homepage: https://cran.r-project.org/package=misPRIME
Description: CRAN Package 'misPRIME' (Partial Replacement Imputation Estimation for Missing Covariates)
 Partial Replacement Imputation Estimation (PRIME) can overcome problems
 caused by missing covariates in additive partially linear model. PRIME
 conducts imputation and regression simultaneously with known and unknown
 model structure. More details can be referred to Zishu Zhan, Xiangjie Li and
 Jingxiao Zhang. (2022) <arXiv:2205.14994>.

Package: r-cran-misreparma
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mixtools, r-cran-boot, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-misreparma_0.0.2-1.ca2004.1_all.deb
Size: 34240
MD5sum: f57b8c1573fe234c51aa87f8b80374f1
SHA1: 94a8e05014983f1f1f2389e80b084ca94bdcc6eb
SHA256: ce425a1824e91fcfc7ef96c5ecd263e9cf89ff301a037ceab93c0d87e9ea8fa8
SHA512: 06d7ca4bb2d9ef7dc1f7d45a8b42b1263f0c9562f1d2e64c954d055f4762cdce87d1699c3eb12dab0c3f199ea2eba45ff10ccf503b2a463c65cf7c252b173b89
Homepage: https://cran.r-project.org/package=MisRepARMA
Description: CRAN Package 'MisRepARMA' (Misreported Time Series Analysis)
 Provides a simple and trustworthy methodology for the analysis of
 misreported continuous time series. See Moriña, D, Fernández-Fontelo, A,
 Cabaña, A, Puig P. (2021) <arXiv:2003.09202v2>.

Package: r-cran-misreport
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-vgam, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-misreport_0.1.1-1.ca2004.1_all.deb
Size: 462048
MD5sum: 478f1ea75ddc4dfc0626ca6c66060a1a
SHA1: 4b41b4ae317f9e334c458b2156ba740ee1fab349
SHA256: 7d125080ba62a7b4cd9bc7ef9cc969ab83bea65e351daae0020039139d0c2038
SHA512: 5d2f3212824fd78dddb780077f9972c18c969efeb773f376606d9ae638a2cbdc042e64aeac221515dc9d0c599b3da8f5d89e3ff6920ff82dc9e686cdd2647286
Homepage: https://cran.r-project.org/package=misreport
Description: CRAN Package 'misreport' (Statistical Analysis of Misreporting on Sensitive SurveyQuestions)
 Enables investigation of the predictors of misreporting on sensitive survey
 questions through a multivariate list experiment regression method. The
 method permits researchers to model whether a survey respondent's answer to
 the sensitive item in a list experiment is different from his or her answer
 to an analogous direct question.

Package: r-cran-misscforest
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-partykit
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-misscforest_0.0.8-1.ca2004.1_all.deb
Size: 22092
MD5sum: 5e3154b40e39c9725a09f8365326109d
SHA1: 596d49af18196e6fa0bd9d06b068fe3a43f73474
SHA256: 93884bd4db7ebb29ddd1035f6d9e3dab821320169d2cdff06f22cba2e516092e
SHA512: e5f9a8855bf350eeeb6c079c5576c3cd7a71e453aca3046d48c3f786aa54a1d4d57c884f59bb7f6cb0b71cdad6f3c36a08c695f1616046de96f65125df319486
Homepage: https://cran.r-project.org/package=missCforest
Description: CRAN Package 'missCforest' (Ensemble Conditional Trees for Missing Data Imputation)
 Single imputation based on the Ensemble Conditional Trees (i.e. Cforest
 algorithm Strobl, C., Boulesteix, A. L., Zeileis, A., & Hothorn, T. (2007)
 <doi:10.1186/1471-2105-8-25>).

Package: r-cran-misscompare
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-amelia, r-cran-data.table, r-cran-dplyr, r-cran-ggdendro, r-cran-ggplot2, r-cran-hmisc, r-cran-ltm, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-mi, r-cran-mice, r-cran-missforest, r-cran-missmda, r-bioc-pcamethods, r-cran-plyr, r-cran-rlang, r-cran-tidyr, r-cran-vim
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-misscompare_1.0.3-1.ca2004.1_all.deb
Size: 2705776
MD5sum: b53e1adfb1f1c5ca276cc933773d7844
SHA1: c81bda462c7d54709ac99ae2cf97845ebabd6177
SHA256: b58bf337567a012c5fb499dccd615bdb8ec0407189ca600c14fcc1e04a8741fa
SHA512: 01db10779aaa47a0d38fe3b2444a3e9faf1fabe222dd19199d791702741a56368b8f1ddf38e297724787146156353eecff7ffda103aef28bd0383596ef5c48ee
Homepage: https://cran.r-project.org/package=missCompare
Description: CRAN Package 'missCompare' (Intuitive Missing Data Imputation Framework)
 Offers a convenient pipeline to test and compare various missing data
 imputation algorithms on simulated and real data. These include simpler
 methods, such as mean and median imputation and random replacement, but also
 include more sophisticated algorithms already implemented in popular R
 packages, such as 'mi', described by Su et al. (2011)
 <doi:10.18637/jss.v045.i02>; 'mice', described by van Buuren and
 Groothuis-Oudshoorn (2011) <doi:10.18637/jss.v045.i03>; 'missForest',
 described by Stekhoven and Buhlmann (2012)
 <doi:10.1093/bioinformatics/btr597>; 'missMDA', described by Josse and
 Husson (2016) <doi:10.18637/jss.v070.i01>; and 'pcaMethods', described by
 Stacklies et al. (2007) <doi:10.1093/bioinformatics/btm069>. The central
 assumption behind 'missCompare' is that structurally different datasets
 (e.g. larger datasets with a large number of correlated variables vs.
 smaller datasets with non correlated variables) will benefit differently
 from different missing data imputation algorithms. 'missCompare' takes
 measurements of your dataset and sets up a sandbox to try a curated list of
 standard and sophisticated missing data imputation algorithms and compares
 them assuming custom missingness patterns.  'missCompare' will also impute
 your real-life dataset for you after the selection of the best performing
 algorithm in the simulations. The package also provides various
 post-imputation diagnostics and visualizations to help you assess imputation
 performance.

Package: r-cran-missdiag
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-cobalt
Suggests: r-cran-mice, r-cran-sbw, r-cran-ebal
Filename: pool/dists/focal/main/r-cran-missdiag_1.0.1-1.ca2004.1_all.deb
Size: 152448
MD5sum: 12f9e9021e31fb6e8c535f5a01dfe76b
SHA1: 07f22b514effd3da5fdbb9e9005d539295d37563
SHA256: 00c5b97f265ba1d846e6a6769b6cd12dcf466d9535283d83f87a92135144984e
SHA512: db91740c042f148399d2c3eed2c7520f1c9b66e83702d7fa244c2dbf9f32f318667a9d983cd155a1d1057072ac0d0170d2971dd06f9532c49521e63a299372c5
Homepage: https://cran.r-project.org/package=missDiag
Description: CRAN Package 'missDiag' (Comparing Observed and Imputed Values under MAR and MCAR)
 Implements the computation of discrepancy statistics summarizing differences
 between the density of imputed and observed values and the construction of
 weights to balance covariates that are part of the missing data mechanism as
 described in Marbach (2021) <arXiv:2107.05427>.

Package: r-cran-missforest
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-foreach, r-cran-itertools, r-cran-iterators, r-cran-dorng
Suggests: r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-missforest_1.5-1.ca2004.1_all.deb
Size: 343164
MD5sum: 4ded6b113157d440cc5e9e49887447e1
SHA1: 9df0e86c029ecd4bfa354c93f4a7c117872bd04b
SHA256: 388076fb2d2a8e38b538fc90b4003f9d5ae32d5466085f85937e0662538cadc8
SHA512: f86c0ad81ecb27e97a22d19d95556135a951e11584cc5edcc07eaace926cd95c74d875729dbe7c87bb0bfac108a1701edca34c532ea88a54c251102d3e2bbcbc
Homepage: https://cran.r-project.org/package=missForest
Description: CRAN Package 'missForest' (Nonparametric Missing Value Imputation using Random Forest)
 The function 'missForest' in this package is used to impute missing values
 particularly in the case of mixed-type data. It uses a random forest trained
 on the observed values of a data matrix to predict the missing values. It
 can be used to impute continuous and/or categorical data including complex
 interactions and non-linear relations. It yields an out-of-bag (OOB)
 imputation error estimate without the need of a test set or elaborate
 cross-validation. It can be run in parallel to save computation time.

Package: r-cran-missforestpredict
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ranger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-missforestpredict_1.0.1-1.ca2004.1_all.deb
Size: 216476
MD5sum: c2351ac5ab9a6c876725894d73541f9a
SHA1: a522701d72b6dce91754ea07e212452b472b5d33
SHA256: 87091ffa68a93f95820fc2a1b5091f8da48d56f8b86a04a6a374d2b574ba7860
SHA512: 880a921738b02c09c192302ffab9c5aae59746dc2c7b885a82ee4a8d05cce68c7e3c9f44ec2ed58bb050a058f3100b595eb6d85a6643b541b52b09849391cd50
Homepage: https://cran.r-project.org/package=missForestPredict
Description: CRAN Package 'missForestPredict' (Missing Value Imputation using Random Forest for PredictionSettings)
 Missing data imputation based on the 'missForest' algorithm (Stekhoven,
 Daniel J (2012) <doi:10.1093/bioinformatics/btr597>) with adaptations for
 prediction settings. The function missForest() is used to impute a
 (training) dataset with missing values and to learn imputation models that
 can be later used for imputing new observations.  The function
 missForestPredict() is used to impute one or multiple new observations (test
 set) using the models learned on the training data. For more details see
 Albu, E., Gao, S., Wynants, L., & Van Calster, B. (2024).
 missForestPredict--Missing data imputation for prediction settings
 <doi:10.48550/arXiv.2407.03379>.

Package: r-cran-missinghandle
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-zoo, r-cran-imputets, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-missinghandle_0.1.1-1.ca2004.1_all.deb
Size: 36200
MD5sum: 3b55155dce1a84e563caa65abafb9564
SHA1: 9baf68df945964eac4d7679942ceea14fccb9694
SHA256: 53e1cb34f28c17b4495ce40044081e7347e0462375cc4ff517e14d69e08a91b5
SHA512: e5fbdb41da22bee9b3dd0cfb41fe2651ee7f3fa60234e07434feec08d4334347d6a05246e013c359711b6ae287bc4485ef81cf59bcae55df322da13d8704d60b
Homepage: https://cran.r-project.org/package=MissingHandle
Description: CRAN Package 'MissingHandle' (Handles Missing Dates and Data and Converts into Weekly andMonthly from Daily)
 Many times, you will not find data for all dates. After first January, 2011
 you may have next data on 20th January, 2011 and so on. Also available dates
 may have zero values. Try to gather all such kinds of data in different
 excel sheets of a single excel file. Every sheet will contain two columns
 (1st one is dates and second one is the data). After loading all the sheets
 into different elements of a list, using this you can fill the gaps for all
 the sheets and mark all the corresponding values as zeros. Here I am talking
 about daily data. Finally, it will combine all the filled results into one
 data frame (first column is date and other columns will be corresponding
 values of your sheets) and give one combined data frame. Number of columns
 in the data frame will be number of sheets plus one. Then imputation will be
 done. Daily to monthly and weekly conversion is also possible.  More details
 can be found in Garai and others (2023) <doi:10.13140/RG.2.2.11977.42087>.

Package: r-cran-missinghe
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1545
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mcmcplots, r-cran-ggpubr, r-cran-ggmcmc, r-cran-ggthemes, r-cran-bcea, r-cran-ggplot2, r-cran-gridextra, r-cran-bayesplot, r-cran-r2jags, r-cran-loo, r-cran-coda, r-cran-mcmcr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-missinghe_1.5.0-1.ca2004.1_all.deb
Size: 1110384
MD5sum: 5a032f8ed4119d5f8148b00fe0ef4a06
SHA1: ed31cf9e10b7e1d338a7455143f0a8eac3c59475
SHA256: 892ef331134600ee638fed30c5e951509f477812682d796398e7999a4d846c41
SHA512: 8b1e83574b151eda9a76274c4d2a4466bc6c1a31a40fc6f801e223494e6a0647e668ed9bf261a20db9fb0639f32dcd67cc535df36dbc9728ff5d80b7837d1080
Homepage: https://cran.r-project.org/package=missingHE
Description: CRAN Package 'missingHE' (Missing Outcome Data in Health Economic Evaluation)
 Contains a suite of functions for health economic evaluations with missing
 outcome data.  The package can fit different types of statistical models
 under a fully Bayesian approach using the software 'JAGS' (which should be
 installed locally and which is loaded in 'missingHE' via the 'R' package
 'R2jags').  Three classes of models can be fitted under a variety of missing
 data assumptions: selection models, pattern mixture models and hurdle
 models.  In addition to model fitting, 'missingHE' provides a set of
 specialised functions to assess model convergence and fit, and to summarise
 the statistical and economic results using different types of measures and
 graphs.  The methods implemented are described in Mason (2018)
 <doi:10.1002/hec.3793>, Molenberghs (2000)
 <doi:10.1007/978-1-4419-0300-6_18> and Gabrio (2019) <doi:10.1002/sim.8045>.

Package: r-cran-missingplotlsd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-missingplotlsd_0.1.0-1.ca2004.1_all.deb
Size: 12784
MD5sum: ef383d7e41f1ce0891b8c68440c2f18e
SHA1: ee054c6041d2a40363ee90a8783268d9bdbdce76
SHA256: 82782f245453a522861b677743e9240f4dc2e85a43072d6165bd40ae9c85be82
SHA512: f61ce27e80a7336bdb26701903e19970303fb227ddbec5477314aea7cfb16a669f21b4d29a597a27493f30c9fcf0fcf5b6c441cf88411c99ffb8cd7278f3adfe
Homepage: https://cran.r-project.org/package=MissingPlotLSD
Description: CRAN Package 'MissingPlotLSD' (Missing Plot in LSD)
 A system for Analysis of LSD when there is one missing observation. Methods
 for this process is described in
 A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).

Package: r-cran-missingplotrbd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-missingplotrbd_1.1.0-1.ca2004.1_all.deb
Size: 11556
MD5sum: 9d177ac6d993b5c3282ee54948c39fc2
SHA1: 15f56386dcc46ea419c935ab3f7e26953b934ef8
SHA256: 370a09178a3663f57d167678ef3cfb8840c4b6e330d45c26dacfb7c82ef35f0a
SHA512: 37402fc90c1135633ca2e539716af48e479c8be59b1bf8f5a9ded8847cd8a7bd1646130b927dab1318291b3f81ce992769a8c2a2abfb9c04aff68ca613166904
Homepage: https://cran.r-project.org/package=MissingPlotRBD
Description: CRAN Package 'MissingPlotRBD' (Missing Plot in RBD)
 A system for Analysis of RBD when there is one missing observation. Methods
 for this process is described in
 A.M.Gun,M.K.Gupta,B.Dasgupta(2019,ISBN:81-87567-81-3).

Package: r-cran-missmda
Architecture: all
Version: 1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-factominer, r-cran-ggplot2, r-cran-mice, r-cran-mvtnorm, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-missmda_1.19-1.ca2004.1_all.deb
Size: 420144
MD5sum: f6c37530116524b83be5bd3794aed367
SHA1: 770063feea60ab767f3739a7d39b21969faccdcc
SHA256: cc31538f1d44a7f2bda4ec48da9975c6031bff82f743a321f847df278faf5fa8
SHA512: 3987737f20047fa8ba54e0bc0a6b5eb9fc8a8aa76ea357c397b1820f633b35ba29e39929947953f9f4c4f0ae58b7c63c10fe6e42859e3a8734f2f2056ddfbbc6
Homepage: https://cran.r-project.org/package=missMDA
Description: CRAN Package 'missMDA' (Handling Missing Values with Multivariate Data Analysis)
 Imputation of incomplete continuous or categorical datasets; Missing values
 are imputed with a principal component analysis (PCA), a multiple
 correspondence analysis (MCA) model or a multiple factor analysis (MFA)
 model; Perform multiple imputation with and in PCA or MCA.

Package: r-cran-missmech
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-missmech_1.0.4-1.ca2004.1_all.deb
Size: 146760
MD5sum: ca72a703095a645c5db8a66fc6c50a89
SHA1: ac222fbd3002cff8ff680ff36a8193de36fc2ae2
SHA256: fb59bc7b25cfb87baad681512b260065fe74b5dcafcd1f7f24c52abbe1ed53cf
SHA512: 1ec4af3fd9a51571750d88f360f114e583feeffb46c9bb349504362f8a520adc55c866f60ec077292c5e93768f32eedad2de0a54d9fab216ee57066c5e0d5f6b
Homepage: https://cran.r-project.org/package=MissMech
Description: CRAN Package 'MissMech' (Testing Homoscedasticity, Multivariate Normality, and MissingCompletely at Random)
 To test whether the missing data mechanism, in a set of incompletely
 observed data, is one of missing completely at random (MCAR).  For detailed
 description see Jamshidian, M. Jalal, S., and Jansen, C. (2014). "MissMech:
 An R Package for Testing Homoscedasticity, Multivariate Normality, and
 Missing Completely at Random (MCAR)", Journal of Statistical Software,
 56(6), 1-31. <https://www.jstatsoft.org/v56/i06/>
 <doi:10.18637/jss.v056.i06>.

Package: r-cran-missmethods
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-lpsolve, r-cran-norm, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-missmethods_0.4.0-1.ca2004.1_all.deb
Size: 259812
MD5sum: f179cc4931d77c260495144f3d2b4bf8
SHA1: a3458ad175263bdf9279611575e2b85f81bf5a5e
SHA256: a95eb104fe0a8070c401fe0fbec66ac973a0a12ef81a51226af7ce1ec2d82afe
SHA512: 73c552b0f0c9bc4e67abc634b65a18aaad091089db71f6050510575fe3602fe8a936989fab0d0ecd9fdbd1b35c9a4665f37463d413aeae536eb834863230088b
Homepage: https://cran.r-project.org/package=missMethods
Description: CRAN Package 'missMethods' (Methods for Missing Data)
 Supply functions for the creation and handling of missing data as well as
 tools to evaluate missing data methods. Nearly all possibilities of
 generating missing data discussed by Santos et al.  (2019)
 <doi:10.1109/ACCESS.2019.2891360> and some additional are implemented.
 Functions are supplied to compare parameter estimates and imputed values to
 true values to evaluate missing data methods.  Evaluations of these types
 are done, for example, by Cetin-Berber et al. (2019)
 <doi:10.1177/0013164418805532> and Kim et al. (2005)
 <doi:10.1093/bioinformatics/bth499>.

Package: r-cran-misspi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lightgbm, r-cran-doparallel, r-cran-dosnow, r-cran-foreach, r-cran-ggplot2, r-cran-glmnet, r-cran-sis, r-cran-plotly
Suggests: r-cran-e1071, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-misspi_0.1.0-1.ca2004.1_all.deb
Size: 651356
MD5sum: 6982a721d623243df400521ad9cc80cd
SHA1: 9334413b9d1cce7995a4d4f630ea4a9354b994d3
SHA256: 85b23f7c2e353eb9f93a358c8cbe16f2c55cf6a322f244031b430d879b88960b
SHA512: 1f81f3c184d64247bea0002f51d8f380582a747e5567c4391a330d899709ae4a1c2149cfcc044b60f0a157be839ae5dfec80c3a5c31fa6236d112a074e417a81
Homepage: https://cran.r-project.org/package=misspi
Description: CRAN Package 'misspi' (Missing Value Imputation in Parallel)
 A framework that boosts the imputation of 'missForest' by Stekhoven, D.J.
 and Bühlmann, P. (2012) <doi:10.1093/bioinformatics/btr597> by harnessing
 parallel processing and through the fast Gradient Boosted Decision Trees
 (GBDT) implementation 'LightGBM' by Ke, Guolin et al.(2017)
 <https://papers.nips.cc/paper/6907-lightgbm-a-highly-efficient-gradient-boosting-decision>.
 'misspi' has the following main advantages: 1. Allows embrassingly parallel
 imputation on large scale data.  2. Accepts a variety of machine learning
 models as methods with friendly user portal.  3. Supports multiple
 initializations methods.  4. Supports early stopping that prohibits
 unnecessary iterations.

Package: r-cran-missplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-missplot_0.1.0-1.ca2004.1_all.deb
Size: 16528
MD5sum: e007dc222d73cdbc24f4d00c8321f549
SHA1: 55e0b6e1aa7a0e54bbd58420c9375b18630f18dd
SHA256: a3e924ac24f4a2cc2e7201c4a8aa0ecad71a3f7c86350281f0dcb0794cc1f378
SHA512: 6f792346ae4758d2499a704b55e62af97bf0a820c63f67358b8356abf1a71acf1285d4e50caa17fbc7b1100561d581275ec921a2a2e1f27f315de610be8e1728
Homepage: https://cran.r-project.org/package=Missplot
Description: CRAN Package 'Missplot' (Missing Plot Technique in Design of Experiment)
 A system for testing differential effects among treatments in case of
 Randomised Block Design and Latin Square Design when there is one missing
 observation. Methods for this process are as described in A.M.Gun,M.K.Gupta
 and B.Dasgupta(2019,ISBN:81-87567-81-3).

Package: r-cran-missr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-norm, r-cran-tibble, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-missr_1.0.1-1.ca2004.1_all.deb
Size: 129448
MD5sum: ded3f14545c99c4ab32c72c61c69ac58
SHA1: 50e6928b47946caae46bafd85231fc528c6a71fb
SHA256: fe7c18645418ac07df19009bf2b4c6e394b3ef89eb0c15031e5a52383d2e51ac
SHA512: b3c4d5d90df894e28f5908ecaa566a02b5c7e09bace6213eef597e7f9f9e4171530daba36a8d76256f138be4197631944230ccfaae29172332d16cafefbf3d2a
Homepage: https://cran.r-project.org/package=missr
Description: CRAN Package 'missr' (Classify Missing Data as MCAR, MAR, or MNAR)
 Classify missing data as missing completely at random (MCAR), missing at
 random (MAR), or missing not at random (MNAR). This step is required before
 handling missing data (e.g. mean imputation) so that bias is not introduced.
 See Little (1988) <doi:10.1080/01621459.1988.10478722> for the statistical
 rationale for the methods used.

Package: r-cran-missranger
Architecture: all
Version: 2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fnn, r-cran-ranger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-missranger_2.6.1-1.ca2004.1_all.deb
Size: 88800
MD5sum: 745085a8a7f232e8f2ae61a3540aa68a
SHA1: e03814f091f2b5e06a1337b21690f6700e7b7456
SHA256: 1a45b6b1544c25f5fcec8b666589608f55e827e442a5f3307768a06c6822622f
SHA512: d04bf6980803945f7067d2eb8f37ab5642cb4a5860ba9aa1b44d08a5b54be801584d5a24f1a780970b61fae51e627b8d1a4c2b34cdfa623da1ef287c1d656707
Homepage: https://cran.r-project.org/package=missRanger
Description: CRAN Package 'missRanger' (Fast Imputation of Missing Values)
 Alternative implementation of the beautiful 'MissForest' algorithm used to
 impute mixed-type data sets by chaining random forests, introduced by
 Stekhoven, D.J. and Buehlmann, P. (2012)
 <doi:10.1093/bioinformatics/btr597>. Under the hood, it uses the lightning
 fast random forest package 'ranger'. Between the iterative model fitting, we
 offer the option of using predictive mean matching.  This firstly avoids
 imputation with values not already present in the original data (like a
 value 0.3334 in 0-1 coded variable).  Secondly, predictive mean matching
 tries to raise the variance in the resulting conditional distributions to a
 realistic level. This would allow, e.g., to do multiple imputation when
 repeating the call to missRanger(). Out-of-sample application is supported
 as well.

Package: r-cran-mist
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-mist_1.0-1.ca2004.1_all.deb
Size: 104068
MD5sum: b1548ff4e5a39afd1d4729ab5cdaa2f4
SHA1: db0a0329a3171dce29b5dbe557806fcc0005ca2e
SHA256: e24241fd01f1f6cf365a6c55b65803c973f690166fe47837176d2185f695f1fd
SHA512: 69c79529e82784f5b1b5c2e1328e9b67f14c46e857fb30fe3a585187415e6b4ee5887dd43ddf82eaa725efa4d0946051d752ce7faeb98f050d5d33be26064ec6
Homepage: https://cran.r-project.org/package=MiST
Description: CRAN Package 'MiST' (Mixed effects Score Test for continuous outcomes)
 Test for association between a set of SNPS/genes and continuous or binary
 outcomes by including variant characteristic information and using
 (weighted) score statistics.

Package: r-cran-mistat
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 831
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-e1071, r-cran-mvtnorm, r-cran-acceptancesampling, r-cran-boot, r-cran-car, r-cran-dodge, r-cran-tseries, r-cran-qcc, r-cran-doe.base, r-cran-frf2, r-cran-rsm, r-cran-learnbayes, r-cran-ggplot2, r-cran-diceeval, r-cran-dicekriging, r-cran-dicedesign, r-cran-diceview, r-cran-lhs, r-cran-survival, r-cran-rpart, r-cran-fdapace, r-cran-randomforest, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mistat_2.0.4-1.ca2004.1_all.deb
Size: 433232
MD5sum: 148da25daaf1c0dfeace2f82c3176090
SHA1: cfc9afac3ee77e46e15c89cae3de11cdf04434a5
SHA256: 54f69e25bf38886b99f80f4c3666d1effc3b6037de7c6a2ab4a8a367fe952005
SHA512: 3049e849cfa23fb9f319bd48e06c632d212305df637b648f3777d8c252a655d82e20a3dbda1236475eb31e39403d9f80ec233bf021ad11a8196cf31e3d374820
Homepage: https://cran.r-project.org/package=mistat
Description: CRAN Package 'mistat' (Data Sets, Functions and Examples from the Book: "ModernIndustrial Statistics" by Kenett, Zacks and Amberti)
 Provide all the data sets and statistical analysis applications used in
 "Modern Industrial Statistics: with applications in R, MINITAB and JMP" by
 R.S. Kenett and S. Zacks with contributions by D. Amberti, John Wiley and
 Sons, 2021, which is a third revised and expanded revision of "Modern
 Industrial Statistics: Design and Control of Quality and Reliability", R.
 Kenett and S. Zacks, Duxbury/Wadsworth Publishing, 1998.

Package: r-cran-mistr
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1949
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bbmle
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-pinp
Filename: pool/dists/focal/main/r-cran-mistr_0.0.6-1.ca2004.1_all.deb
Size: 1648260
MD5sum: 44d3d56ea323084e2dc903c56d866e2c
SHA1: 6a5d7b7b6ad602d6f99d770ac9db5793e12e8029
SHA256: 287f8443311993240a24e138ff7f5cfe7227b6e459644adb36ef3b14e08215aa
SHA512: d1f83c40f183da31d1215f31153df200111bb915c8363388741de36330bc1cf9bf992d0660925dd557f30b3a02597134d1c5c70c62c1badf30aa0e9a743eceb5
Homepage: https://cran.r-project.org/package=mistr
Description: CRAN Package 'mistr' (Mixture and Composite Distributions)
 A flexible computational framework for mixture distributions with the focus
 on the composite models.

Package: r-cran-misty
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3203
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-haven, r-cran-lavaan, r-cran-lme4, r-cran-rstudioapi
Suggests: r-cran-boot, r-cran-data.table, r-cran-hdf5r, r-cran-matrix, r-cran-mice, r-cran-mnormt, r-cran-mvnmle, r-cran-nlme, r-cran-patchwork, r-cran-readxl, r-cran-plyr, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-misty_0.7.2-1.ca2004.1_all.deb
Size: 3163312
MD5sum: e51cd67b0bba5b8d3e05f2ced656c51a
SHA1: 3b769ae4111b40310647ef16e06f5f8c278063c3
SHA256: 16552805bc146e0313dd61cd8d25c87cae46ccf994f2df950c2e5c331d0af5b6
SHA512: 4a9a7eef5c284b8c08f6501b35b7058b1ca88bc8fec440ab81d8a85cc3f19e3a1e4230e1a75cb0723f3323ef9590a9d433f44d41f679e6237c9bb7b0b003375d
Homepage: https://cran.r-project.org/package=misty
Description: CRAN Package 'misty' (Miscellaneous Functions 'T. Yanagida')
 Miscellaneous functions for (1) data management (e.g., grand-mean and
 group-mean centering, coding variables and reverse coding items, scale and
 cluster scores, reading and writing Excel and SPSS files), (2) descriptive
 statistics (e.g., frequency table, cross tabulation, effect size measures),
 (3) missing data (e.g., descriptive statistics for missing data, missing
 data pattern, Little's test of Missing Completely at Random, and auxiliary
 variable analysis), (4) multilevel data (e.g., multilevel descriptive
 statistics, within-group and between-group correlation matrix, multilevel
 confirmatory factor analysis, level-specific fit indices, cross-level
 measurement equivalence evaluation, multilevel composite reliability, and
 multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor
 analysis, coefficient alpha and omega, between-group and longitudinal
 measurement equivalence evaluation), (6) statistical analysis (e.g.,
 bootstrap confidence intervals, collinearity and residual diagnostics,
 dominance analysis, between- and within-subject analysis of variance, latent
 class analysis, t-test, z-test, sample size determination), and (7)
 functions to interact with 'Blimp' and 'Mplus'.

Package: r-cran-misuvi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-sf, r-cran-tigris
Filename: pool/dists/focal/main/r-cran-misuvi_0.1.1-1.ca2004.1_all.deb
Size: 405416
MD5sum: 80fffc44cb1bf7b92ecc6e50cc76412a
SHA1: dcd26a44c70455ab2553ba9abe7ca34b1ec277ef
SHA256: ec65d867f0a25abe4cc6329dd19cff351e58c5ab94749809d17fb0793788bd4e
SHA512: 362bcd8e327f6f4034e4ce184a48e9bbc4c31bbd5e9d35ccf2041551919ae246c63f54adbc4a77662d333f81ef3b99838debf8055758b0ec47167b890128f44d
Homepage: https://cran.r-project.org/package=misuvi
Description: CRAN Package 'misuvi' (Access the Michigan Substance Use Vulnerability Index (MI-SUVI))
 Easily import the MI-SUVI data sets. The user can import data sets with full
 metrics, percentiles, Z-scores, or rankings.  Data is available at both the
 County and Zip Code Tabulation Area (ZCTA) levels. This package also
 includes a function to import shape files for easy mapping and a function to
 access the full technical documentation. All data is sourced from the
 Michigan Department of Health and Human Services.

Package: r-cran-mitml
Architecture: all
Version: 0.4-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pan, r-cran-jomo, r-cran-haven
Suggests: r-cran-mice, r-cran-miceadds, r-cran-amelia, r-cran-lme4, r-cran-nlme, r-cran-lavaan, r-cran-geepack, r-cran-glmmtmb, r-cran-survival, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mitml_0.4-5-1.ca2004.1_all.deb
Size: 510956
MD5sum: d87497680b12e7df103c79dd53f347c1
SHA1: 5eb42c891bdfc320c78740e27728bc3bf0121a2a
SHA256: bfbf183ec4b849ec118ef7a357314e9ad60096df294a3407bab4d4d8c12d564a
SHA512: 843e709aed92f1340e3595843eefbe14de0350beffbfe993011eafc849e1246a554adab11c024de0e1acfd2788aa50b569141f3fc5eeb396bd410498a27f52d9
Homepage: https://cran.r-project.org/package=mitml
Description: CRAN Package 'mitml' (Tools for Multiple Imputation in Multilevel Modeling)
 Provides tools for multiple imputation of missing data in multilevel
 modeling. Includes a user-friendly interface to the packages 'pan' and
 'jomo', and several functions for visualization, data management and the
 analysis of multiply imputed data sets.

Package: r-cran-mitohear
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4442
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-circlize, r-bioc-complexheatmap, r-cran-dynamictreecut, r-bioc-genomicranges, r-cran-ggplot2, r-cran-gridextra, r-bioc-iranges, r-cran-magrittr, r-cran-mcclust, r-cran-rdist, r-cran-reshape2, r-cran-rlist, r-bioc-rsamtools
Suggests: r-cran-clustree, r-cran-fmsb, r-cran-gam, r-bioc-karyoploter, r-cran-knitr, r-cran-plotly, r-bioc-regioner, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mitohear_0.1.0-1.ca2004.1_all.deb
Size: 3931168
MD5sum: af44df43f5d846b83f80d5d9a80b8692
SHA1: 51b362a3c86a69616009cbe0cc6764e00cffdb97
SHA256: 03eb60f6c764d6952a78b16e526c2c7c4fa3db7fd78502d22b2cced1ef732eb8
SHA512: 9e4906bdd544a91c02aa915ecac63811ab60001c2d3bbf0320927a3e8f91e4c1fdb708c3b8355608cb2b29efb33ee50658140b4f5e0864ccbf9e3dabc466efae
Homepage: https://cran.r-project.org/package=MitoHEAR
Description: CRAN Package 'MitoHEAR' (Quantification of Mitochondrial DNA Heteroplasmy)
 Allows the estimation and downstream statistical analysis of the
 mitochondrial DNA Heteroplasmy calculated from single-cell datasets
 <https://github.com/ScialdoneLab/MitoHEAR/tree/master>.

Package: r-cran-mitools
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi
Suggests: r-cran-rodbc, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-mitools_2.4-1.ca2004.1_all.deb
Size: 264008
MD5sum: 0976f74cc6e7e1aafa441f0893a24cc1
SHA1: c6a7627dc4fec79c524e970f7dddb55c989de5d9
SHA256: 29b24a1b7bbcd7c057acbd06181d74ed698fecf17abc1bcd62a6d8b19f68ed82
SHA512: 91f158d3f36ab69e36bee3d3e5d0fb0ee254e52169973bb9f494fcc0c2985833e5526f2c586f14370e4b15446902d01e12101acb794c906199eb18634747640a
Homepage: https://cran.r-project.org/package=mitools
Description: CRAN Package 'mitools' (Tools for Multiple Imputation of Missing Data)
 Tools to perform analyses and combine results from multiple-imputation
 datasets.

Package: r-cran-mitre
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-plyr, r-cran-dplyr, r-cran-igraph, r-cran-stringr, r-cran-jsonlite, r-cran-rjsonio, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mitre_1.0.0-1.ca2004.1_all.deb
Size: 1297796
MD5sum: 9c5ee21250bb6a6b3177c8d7d81291f9
SHA1: 14b5af12931c5d8f2293282b72eedd1784345c50
SHA256: 465cfb270b5ceea849ea96536940b0b92f70d0c617389cd3e178b699f7c96850
SHA512: 5628343068f317b37b5b0c5801cfef59346b17cf0e11ed027d3f28eda7fd7d7ee4bfabb69f3a354f2dd4ebedd6cc5ad9e0af5cc3d6136527c634f39160a56faf
Homepage: https://cran.r-project.org/package=mitre
Description: CRAN Package 'mitre' (Cybersecurity MITRE Standards Data and Digraphs)
 Extract, transform and load MITRE standards.  This package gives you an
 approach to cybersecurity data sets.  All data sets are build on runtime
 downloading raw data from MITRE public services.  MITRE
 <https://www.mitre.org/> is a government-funded research organization based
 in Bedford and McLean. Current version includes most used standards as data
 frames. It also provide a list of nodes and edges with all relationships.

Package: r-cran-mittagleffler
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 676
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stabledist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-animation, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-mittagleffler_0.4.1-1.ca2004.1_all.deb
Size: 566808
MD5sum: a8811616eb1f7d6f0d621c60c3692ef0
SHA1: 1e64a75506b083924a358433833a791afb2f6d7a
SHA256: 676e39ce26fdef2ea41f36b0dd9021657d3da6ab0138d7789e27d5321f631968
SHA512: edf4484bdc54e987a78322e9f06456d761379ca4f91b788e1c21c7c9cf7e4eacaacbdcba7be8e7ffbd66402774ead69e1e8461d6de6701273cda67c9a93ec0ac
Homepage: https://cran.r-project.org/package=MittagLeffleR
Description: CRAN Package 'MittagLeffleR' (Mittag-Leffler Family of Distributions)
 Implements the Mittag-Leffler function, distribution, random variate
 generation, and estimation. Based on the Laplace-Inversion algorithm by
 Garrappa, R. (2015) <doi:10.1137/140971191>.

Package: r-cran-miwilson
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mice
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-miwilson_1.0.0-1.ca2004.1_all.deb
Size: 46112
MD5sum: adf4364af05caa666d47ba96d13d3133
SHA1: 9b70cdda8395d3e212673c0e5bbb55d52a06d140
SHA256: 56461842471b16bebce8b08e6d3e9e821dc37fbe6d2edc2a52038049b4d47bbb
SHA512: 9f41da86cdd6b2c364f9252415ddbb07fd2618547c2e0ac096b4d9ae00c909c131427eac69dd88bffc88574df93beaae49d3d0591446c28ae4bed93dc0150bdc
Homepage: https://cran.r-project.org/package=MIWilson
Description: CRAN Package 'MIWilson' (Implementing the MI-Wilson Confidence Interval)
 Implements the Wilson confidence interval for binomial proportions given
 multiple imputations of missing data (detailed theory provided in "Wilson
 Confidence Intervals for Binomial Proportions With Multiple Imputation for
 Missing Data" (A. Lott & J. Reiter, 2018)). Our package also implements a
 Wald confidence interval and allows for both MIDs object and proportion
 vector arguments.

Package: r-cran-miwqs
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 721
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-condmvnorm, r-cran-ggplot2, r-cran-glm2, r-cran-hmisc, r-cran-invgamma, r-cran-mass, r-cran-matrixnormal, r-cran-mcmcpack, r-cran-mvtnorm, r-cran-purrr, r-cran-rlist, r-cran-rsolnp, r-cran-survival, r-cran-tidyr, r-cran-tmvmixnorm, r-cran-tmvtnorm, r-cran-truncnorm
Suggests: r-cran-formatr, r-cran-ggally, r-cran-knitr, r-cran-mice, r-cran-norm, r-cran-pander, r-cran-rmarkdown, r-cran-scales, r-cran-sessioninfo, r-cran-spelling, r-cran-testthat, r-cran-wqs
Filename: pool/dists/focal/main/r-cran-miwqs_0.4.4-1.ca2004.1_all.deb
Size: 644964
MD5sum: e3811a38f70fe84ff166eac323d58b35
SHA1: f60799f3a25924c42fac388b8a1c386a39e6380f
SHA256: 8992a579dcfb1ba9174ecb30cefc1160cf17222b933448e1a63f1079a003015d
SHA512: 76993a2ab42b79540c260ccac784408db94e95a3d77cc5a2ee069909ad20b80d6ec787410d1068107eee500be3b37365baa9221b2ac557997571342a29bcfc8a
Homepage: https://cran.r-project.org/package=miWQS
Description: CRAN Package 'miWQS' (Multiple Imputation Using Weighted Quantile Sum Regression)
 The miWQS package handles the uncertainty due to below the detection limit
 in a correlated component mixture problem.  Researchers want to determine if
 a set/mixture of continuous and correlated components/chemicals is
 associated with an outcome and if so, which components are important in that
 mixture. These components share a common outcome but are interval-censored
 between zero and low thresholds, or detection limits, that may be different
 across the components. This package applies the multiple imputation (MI)
 procedure to the weighted quantile sum regression (WQS) methodology for
 continuous, binary, or count outcomes (Hargarten & Wheeler (2020)
 <doi:10.1016/j.envres.2020.109466>). The imputation models are:
 bootstrapping imputation (Lubin et.al (2004) <doi:10.1289/ehp.7199>),
 univariate Bayesian imputation (Hargarten & Wheeler (2020)
 <doi:10.1016/j.envres.2020.109466>), and multivariate Bayesian regression
 imputation.

Package: r-cran-mixar
Architecture: all
Version: 0.22.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1515
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bb, r-cran-combinat, r-cran-timedate, r-cran-fgarch, r-cran-rdpack, r-cran-gbutils, r-cran-mcmcpack, r-cran-e1071, r-cran-permute, r-cran-mvtnorm
Suggests: r-cran-fma, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mixar_0.22.8-1.ca2004.1_all.deb
Size: 1111412
MD5sum: 6662bb1643098d14a0f26cc3a7acae7b
SHA1: e55b3e9814ec91d5c1d2b3a7fdd7e439fe51cafa
SHA256: 344c7fd9a8f3e59a6a66c83bb0c60df5b65311fd1802723d9f9134714b8d8044
SHA512: a0de0f597c645f37dffefb6924b6cefc4dd3f89d6678aee6ae6e1e2e16954b3d9d6133a4b3860bbbca0121e220360a7c5f52ed4955e009f944c6827308289715
Homepage: https://cran.r-project.org/package=mixAR
Description: CRAN Package 'mixAR' (Mixture Autoregressive Models)
 Model time series using mixture autoregressive (MAR) models.  Implemented
 are frequentist (EM) and Bayesian methods for estimation, prediction and
 model evaluation. See Wong and Li (2002) <doi:10.1111/1467-9868.00222>,
 Boshnakov (2009) <doi:10.1016/j.spl.2009.04.009>), and the extensive
 references in the documentation.

Package: r-cran-mixbox
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gigrvg, r-cran-stabledist
Filename: pool/dists/focal/main/r-cran-mixbox_1.2.3-1.ca2004.1_all.deb
Size: 228432
MD5sum: 25c7ae1361faf6886e17120b74e0bdaa
SHA1: dc7f57e2fc779741ddc75b0075194d67e6685fc6
SHA256: 2e95b89e433f3fc6f5d68cad855555812bc558fb493ee47c54b96372592ae462
SHA512: bf2febcc4382573969d2734a37dd1e5d74d7a1e815a5c836c5c80f2a0bdc444acf092e09d99dfc3b73fb2d7eed216f9fc0d6fa901fb05b15fda3c542e0c17f59
Homepage: https://cran.r-project.org/package=mixbox
Description: CRAN Package 'mixbox' (Observed Fisher Information Matrix for Finite Mixture Model)
 Developed for the following tasks. 1- simulating realizations from the
 canonical, restricted, and unrestricted finite mixture models. 2- Monte
 Carlo approximation for density function of the finite mixture models. 3-
 Monte Carlo approximation for the observed Fisher information matrix,
 asymptotic standard error, and the corresponding confidence intervals for
 parameters of the mixture models sing the method proposed by Basford et al.
 (1997) <https://espace.library.uq.edu.au/view/UQ:57525>.

Package: r-cran-mixchar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm, r-cran-nloptr, r-cran-zoo, r-cran-tmvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mixchar_0.1.0-1.ca2004.1_all.deb
Size: 1381092
MD5sum: 13233414a77d1947d36cede3b83ac9d6
SHA1: 8e9592c9e07826fe7a3dbbf666a7e7a5ef470c75
SHA256: 5615d56a3051bc5e7d925e8b3f452b97adb7360edd07b278134f474ae8bc45b6
SHA512: d1f0d223178fc956c772835b4cbc3d305c6bc08b10ba64fbe8e3f49f5c70741eab8bb2b3aa01409cd6c8abf6ec7a7fa64021ceb1278ec5c16bd40d260a982a0d
Homepage: https://cran.r-project.org/package=mixchar
Description: CRAN Package 'mixchar' (Mixture Model for the Deconvolution of Thermal Decay Curves)
 Deconvolution of thermal decay curves allows you to quantify proportions of
 biomass components in plant litter. Thermal decay curves derived from
 thermogravimetric analysis (TGA) are imported, modified, and then modelled
 in a three- or four- part mixture model using the Fraser-Suzuki function.
 The output is estimates for weights of pseudo-components corresponding to
 hemicellulose, cellulose, and lignin. For more information see:
 Müller-Hagedorn, M. and Bockhorn, H. (2007)
 <doi:10.1016/j.jaap.2006.12.008>, Órfão, J. J. M. and Figueiredo, J. L.
 (2001) <doi:10.1016/S0040-6031(01)00634-7>, and Yang, H. and Yan, R. and
 Chen, H. and Zheng, C. and Lee, D. H. and Liang, D. T. (2006)
 <doi:10.1021/ef0580117>.

Package: r-cran-mixcomp
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-boot, r-cran-expm, r-cran-matrixcalc, r-cran-rsolnp, r-cran-kdensity
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mixcomp_0.1-2-1.ca2004.1_all.deb
Size: 600236
MD5sum: 7b440026544067f9fc8ebd34c6bd7bab
SHA1: f9fa149f8fd63a7502080b553f2428295fe4fd59
SHA256: 683c99636fac728c10ed6e054333b8c7604d4ff9a814be122e99b82b369ae97d
SHA512: b73689a872203d946511404802a0a5532c73a9f077b910f0ee41e8166cf8cd04de18fe36577376964240d2ec9d0b8e5b27e2d008cbe9c7d5e8cdeede8756a30e
Homepage: https://cran.r-project.org/package=mixComp
Description: CRAN Package 'mixComp' (Estimation of Order of Mixture Distributions)
 Methods for estimating the order of a mixture model. The approaches
 considered are based on the following papers (extensive list of references
 is available in the vignette): 1. Dacunha-Castelle, Didier, and Elisabeth
 Gassiat. The estimation of the order of a mixture model. Bernoulli 3, no. 3
 (1997): 279-299.
 <https://projecteuclid.org/download/pdf_1/euclid.bj/1177334456>.  2. Woo,
 Mi-Ja, and T. N. Sriram. Robust estimation of mixture complexity. Journal of
 the American Statistical Association 101, no. 476 (2006): 1475-1486.
 <doi:10.1198/016214506000000555>.  3. Woo, Mi-Ja, and T. N. Sriram. Robust
 estimation of mixture complexity for count data. Computational statistics &
 data analysis 51, no. 9 (2007): 4379-4392. <doi:10.1016/j.csda.2006.06.006>.
 4. Umashanger, T., and T. N. Sriram. L2E estimation of mixture complexity
 for count data. Computational statistics & data analysis 53, no. 12 (2009):
 4243-4254. <doi:10.1016/j.csda.2009.05.013>.  5. Karlis, Dimitris, and
 Evdokia Xekalaki. On testing for the number of components in a mixed Poisson
 model. Annals of the Institute of Statistical Mathematics 51, no. 1 (1999):
 149-162. <doi:10.1023/A:1003839420071>.  6. Cutler, Adele, and Olga I.
 Cordero-Brana. Minimum Hellinger Distance Estimation for Finite Mixture
 Models. Journal of the American Statistical Association 91, no. 436 (1996):
 1716-1723. <doi:10.2307/2291601>.  A number of datasets are included.  1.
 accidents, from Karlis, Dimitris, and Evdokia Xekalaki. On testing for the
 number of components in a mixed Poisson model. Annals of the Institute of
 Statistical Mathematics 51, no. 1 (1999): 149-162.
 <doi:10.1023/A:1003839420071>.  2. acidity, from Sybil L. Crawford, Morris
 H. DeGroot, Joseph B. Kadane & Mitchell J. Small (1992) Modeling
 Lake-Chemistry Distributions: Approximate Bayesian Methods for Estimating a
 Finite-Mixture Model, Technometrics, 34:4, 441-453.
 <doi:10.1080/00401706.1992.10484955>.  3. children, from Thisted, R. A.
 (1988). Elements of statistical computing: Numerical computation (Vol. 1).
 CRC Press.  4. faithful, from R package "datasets"; Azzalini, A. and Bowman,
 A. W. (1990). A look at some data on the Old Faithful geyser. Applied
 Statistics, 39, 357--365. <https://www.jstor.org/stable/2347385>.  5.
 shakespeare, from Efron, Bradley, and Ronald Thisted. "Estimating the number
 of unseen species: How many words did Shakespeare know?." Biometrika 63.3
 (1976): 435-447. <doi:10.1093/biomet/63.3.435>.

Package: r-cran-mixcure
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-boot, r-cran-flexsurv, r-cran-survey, r-cran-gam, r-cran-timereg
Filename: pool/dists/focal/main/r-cran-mixcure_2.0-1.ca2004.1_all.deb
Size: 82588
MD5sum: 49ba6fd8ed32a3c36ac30d38f95971a4
SHA1: 92d79069f1803be7e5bb401ddf1c2b91debed7e1
SHA256: ebc1a4d8b4118a8e225b3fdcccd0773f365e09d8b413f08eea76eee16d250300
SHA512: debcbd9a293ae82655019de91e1b77429a0e0b2c23dfb42e7ed8f8cfe897735b0cd075985e55bda48e3e6661c7799653eb50d67e7a7554837d8fdec40e24d45b
Homepage: https://cran.r-project.org/package=mixcure
Description: CRAN Package 'mixcure' (Mixture Cure Models)
 Implementation of parametric and semiparametric mixture cure models based on
 existing R packages. See details of the models in Peng and Yu (2020) <ISBN:
 9780367145576>.

Package: r-cran-mixdist
Architecture: all
Version: 0.5-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mixdist_0.5-5-1.ca2004.1_all.deb
Size: 166412
MD5sum: f037e8f4209865dd2653e73fba684d25
SHA1: a6734c661922337d28b76d2ff5ce95339e3d831b
SHA256: 0f7c252414b92d6e4371142edb638a7cc5413cdb0f8241799f4069d0ae09fb6d
SHA512: 80907cce991e3958a1a5cb88f8d540e5fde63f810d327b6a56042dbbc6e0aa9031242260d9cb4cbcf4f24d3ebfbf7366099fbba261a25c6337e051d5ab4afef9
Homepage: https://cran.r-project.org/package=mixdist
Description: CRAN Package 'mixdist' (Finite Mixture Distribution Models)
 Fit finite mixture distribution models to grouped data and conditional data
 by maximum likelihood using a combination of a Newton-type algorithm and the
 EM algorithm.

Package: r-cran-mixedbiastest
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-plm
Filename: pool/dists/focal/main/r-cran-mixedbiastest_0.3.0-1.ca2004.1_all.deb
Size: 42584
MD5sum: c7580c5012155c7fc223ec9ff472066c
SHA1: a2a570aebd85e82ba3508b8b7046fbcb3f1116e6
SHA256: 5ce01ca278762ae56e643d5b914bb14e0fc5d4acbc17f5a59951d7eeb9105cae
SHA512: b8e9b72724fc8cd636cfd8f3d7d191fd3cb11fadcb2bfb5330232cb3c3cde16824955179b67c7de5d0536cbc4924dc702e74a5bb07e1322969ebc75e8c7dc794
Homepage: https://cran.r-project.org/package=mixedbiastest
Description: CRAN Package 'mixedbiastest' (Bias Diagnostic for Linear Mixed Models)
 Provides a function to perform bias diagnostics on linear mixed models
 fitted with lmer() from the 'lme4' package. Implements permutation tests for
 assessing the bias of fixed effects, as described in Karl and Zimmerman
 (2021) <doi:10.1016/j.jspi.2020.06.004>. Karl and Zimmerman (2020)
 <doi:10.17632/tmynggddfm.1> provide R code for implementing the test using
 'mvglmmRank' output. Development of this package was assisted by 'GPT
 o1-preview' for code structure and documentation.

Package: r-cran-mixedlevelrsds
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tords, r-cran-frf2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mixedlevelrsds_1.0.0-1.ca2004.1_all.deb
Size: 171820
MD5sum: 950e36b9fe806bf51c99708bd62de776
SHA1: 371aa9188368b13888aa9cd73d0dbf080b718802
SHA256: 93af350f317e01a59a51fe00fa9f6d787741d675fbeb95ad23e88f07244fb9f4
SHA512: 52fe4a9f279f6c093f78c895aa80050da60dc2885f2604373e14a484b0c1f2ba3d753e98de06b6289117bc9c8fec96498f33ff900ef798bd1b1f6b12651631f5
Homepage: https://cran.r-project.org/package=MixedLevelRSDs
Description: CRAN Package 'MixedLevelRSDs' (Mixed Level Response Surface Designs)
 Response Surface Designs (RSDs) involving factors not all at same levels are
 called Mixed Level RSDs (or Asymmetric RSDs). In many practical situations,
 RSDs with asymmetric levels will be more suitable as it explores more
 regions in the design space. (J.S. Mehta and M.N. Das (1968)
 <doi:10.2307/1267046>. "Asymmetric rotatable designs and orthogonal
 transformations").This package contains function named ATORDs_I() for
 generating asymmetric third order rotatable designs (ATORDs) based on third
 order designs given by Das and Narasimham (1962). Function ATORDs_II()
 generates asymmetric third order rotatable designs developed using t-design
 of unequal set sizes, which are smaller in size as compared to design
 generated by function ATORDs_I(). In general, third order rotatable designs
 can be classified into two classes viz., designs that are suitable for
 sequential experimentation and designs for non-sequential experimentation.
 The sequential experimentation approach involves conducting the trials step
 by step whereas, in the non-sequential experimentation approach, the entire
 runs are executed in one go (M. N. Das and V. Narasimham (1962)
 <doi:10.1214/AOMS/1177704374>. "Construction of Rotatable Designs through
 Balanced Incomplete Block Designs").  ATORDs_I() and ATORDs_II() functions
 generate non-sequential asymmetric third order designs. Function named
 SeqTORD() generates symmetric sequential third order design in blocks and
 also gives G-efficiency of the given design. Function named Asymseq()
 generates asymmetric sequential third order designs in blocks (M. Hemavathi,
 Eldho Varghese, Shashi Shekhar and Seema Jaggi (2020)
 <doi:10.1080/02664763.2020.1864817>. "Sequential asymmetric third order
 rotatable designs (SATORDs)"). In response surface design, situations may
 arise in which some of the factors are qualitative in nature (Jyoti Divecha
 and Bharat Tarapara (2017) <doi:10.1080/08982112.2016.1217338>. "Small,
 balanced, efficient, optimal, and near rotatable response surface designs
 for factorial experiments asymmetrical in some quantitative, qualitative
 factors").  The Function named QualRSD() generates second order design with
 qualitative factors along with their D-efficiency and G-efficiency.  The
 function named RotatabilityQ() calculates a measure of rotatability (measure
 Q, 0 <= Q <= 1) given by Draper and Pukelshiem(1990) for given a design
 based on a second order model, (Norman R. Draper and Friedrich
 Pukelsheim(1990) <doi:10.1080/00401706.1990.10484635>. "Another look at
 rotatability").

Package: r-cran-mixedlsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-grpreg, r-cran-purrr, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-mixedlsr_0.1.0-1.ca2004.1_all.deb
Size: 187320
MD5sum: ebcedfe453de0883e1f143cf07874181
SHA1: 806d1a65cfa2492e8d7143174eb30ea0acf465c7
SHA256: 2f2fddb2fef5a0f57a2444734a3b8549834f63897d194dfe0ba9807dc9d6e391
SHA512: ee24c76d6c5ead11061d72de57a1dd9ad52333e54829a35cfc4d886a951e8f66ad5a35f3b533590b54949d85b3606558c45419fc1d061a4ff073ad738d33bce7
Homepage: https://cran.r-project.org/package=mixedLSR
Description: CRAN Package 'mixedLSR' (Mixed, Low-Rank, and Sparse Multivariate Regression onHigh-Dimensional Data)
 Mixed, low-rank, and sparse multivariate regression ('mixedLSR') provides
 tools for performing mixture regression when the coefficient matrix is
 low-rank and sparse. 'mixedLSR' allows subgroup identification by
 alternating optimization with simulated annealing to encourage global
 optimum convergence. This method is data-adaptive, automatically performing
 parameter selection to identify low-rank substructures in the coefficient
 matrix.

Package: r-cran-mixedpoisson
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gaussquad, r-cran-rmpfr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mixedpoisson_2.0-1.ca2004.1_all.deb
Size: 53332
MD5sum: ae3ddbabcbbd0bb0713f9deee4bde954
SHA1: 001541b6f3091f0839bb929e914fb6cce9f67674
SHA256: f592c980d5d3b88154e186bd11c82fc8848b794c2b2bae3d5ca83d7a6c6fb8d6
SHA512: f9dd003d08d10cf66a85be84c9b1df8444eeafdc9bbbf51ded7a476971d659f6f849bac91082e526d4a05316b70cf887f62bbfa4190282fa5dd8760117f59a82
Homepage: https://cran.r-project.org/package=MixedPoisson
Description: CRAN Package 'MixedPoisson' (Mixed Poisson Models)
 The estimation of the parameters in mixed Poisson models.

Package: r-cran-mixedpsy
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beepr, r-cran-boot, r-cran-brglm, r-cran-lme4, r-cran-matrix, r-cran-mnormt, r-cran-ggplot2, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-mixedpsy_1.2.0-1.ca2004.1_all.deb
Size: 105040
MD5sum: a9d597f88758648e892f8b7767b613a8
SHA1: 910d406a2687644def0f4d52fe1ba243a506a6ab
SHA256: 000a2c4c956a16677c1fe0c1be7f7bbd11845225666d4824bf50ebff5a352703
SHA512: 4feec27aec68415c51c2b9932168766aa337a54dfebf794faa9af4b9aedd77018b49cea95571cdbe9a212479f1709c23da70aff2b07bce784fc2059b5359a2cf
Homepage: https://cran.r-project.org/package=MixedPsy
Description: CRAN Package 'MixedPsy' (Statistical Tools for the Analysis of Psychophysical Data)
 Tools for the analysis of psychophysical data in R. This package allows to
 estimate the Point of Subjective Equivalence (PSE) and the Just Noticeable
 Difference (JND), either from a psychometric function or from a Generalized
 Linear Mixed Model (GLMM).  Additionally, the package allows plotting the
 fitted models and the response data, simulating psychometric functions of
 different shapes, and simulating data sets.  For a description of the use of
 GLMMs applied to psychophysical data, refer to Moscatelli et al. (2012).

Package: r-cran-mixedsde
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 774
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sde, r-cran-moments, r-cran-mass, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-mixedsde_5.0-1.ca2004.1_all.deb
Size: 693664
MD5sum: 15b4f37d6957b597df6fc11ee135931f
SHA1: 6e2d1dbb2067f9f06f738ed5c1de42405c6e757b
SHA256: 5f5e06214f16be72e4dfff812332d349fcfb6228233323f6935f68f33093322e
SHA512: cb5a54376a0dc0fc1e43bbf65e720ed8c583658164ca4671878be2198260ae3f82921074b2d62242ad4c6dd16d54764d1660b7e3a2c8b75ddeaa0a702cdfc479
Homepage: https://cran.r-project.org/package=mixedsde
Description: CRAN Package 'mixedsde' (Estimation Methods for Stochastic Differential Mixed EffectsModels)
 Inference on stochastic differential models Ornstein-Uhlenbeck or
 Cox-Ingersoll-Ross, with one or two random effects in the drift function.

Package: r-cran-mixedts
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mixedts_1.0.4-1.ca2004.1_all.deb
Size: 200368
MD5sum: a49f3378f58e281e1f22dad0a84af793
SHA1: 0c15a7c13e9b98e9fc09601f4b4a95615d785e5b
SHA256: edf18c97bd24a4c549bea08a38b3e60dec2c8995300015ae13dadea22b6cf14a
SHA512: aa14e600a3174be7776595ddea01e2e4ee7336492e8e1a6f86b6cb84301592b14352413080221962394fa64f3596c6159170e39c21b5b1a55b70099b2e157046
Homepage: https://cran.r-project.org/package=MixedTS
Description: CRAN Package 'MixedTS' (Mixed Tempered Stable Distribution)
 We provide detailed functions for univariate Mixed Tempered Stable
 distribution.

Package: r-cran-mixemm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mixemm_1.0-1.ca2004.1_all.deb
Size: 28360
MD5sum: e4579bdce698ed50c17c125e1e5dd089
SHA1: 5e2c0841993a9cc0140055ae7349e64b738ea5ec
SHA256: 59c78371663a29e70348ef281f2a2b4f8cf30de84b27b4804afb71d4958242e4
SHA512: 733de08ca2aee302ffaeaba9eafe06ea0d407b7f2f6e6fe003813d5f2e3d047113bfa6074089abb7499df7058ed26334953f5eb5ef04929064fbc555a985a310
Homepage: https://cran.r-project.org/package=mixEMM
Description: CRAN Package 'mixEMM' (A Mixed-Effects Model for Analyzing Cluster-Level Non-IgnorableMissing Data)
 Contains functions for estimating a mixed-effects model for clustered data
 (or batch-processed data) with cluster-level (or batch- level) missing
 values in the outcome, i.e., the outcomes of some clusters are either all
 observed or missing altogether. The model is developed for analyzing
 incomplete data from labeling-based quantitative proteomics experiments but
 is not limited to this type of data.  We used an expectation conditional
 maximization (ECM) algorithm for model estimation. The cluster-level
 missingness may depend on the average value of the outcome in the cluster
 (missing not at random).

Package: r-cran-mixfim
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mixfim_1.1-1.ca2004.1_all.deb
Size: 64956
MD5sum: a5ef869925144d86325648e367b34837
SHA1: e9d175bf72da949df20752d4a9a4283a70f4f60d
SHA256: 7d1c62e89b0d702186fa37bf59af1ff1acb2d557617cc6f86d12722a0a093889
SHA512: 9f2618571814ce5c7d61bf02bd67306d6e05a6603597c4bf3c670ac80c5c770f8e88e97d1ed5b97c61c3cfcedda546b22e0b55ed05247ae2151d2f5e3faf20a9
Homepage: https://cran.r-project.org/package=MIXFIM
Description: CRAN Package 'MIXFIM' (Evaluation of the FIM in NLMEMs using MCMC)
 Evaluation and optimization of the Fisher Information Matrix in NonLinear
 Mixed Effect Models using Markov Chains Monte Carlo for continuous and
 discrete data.

Package: r-cran-mixghd
Architecture: all
Version: 2.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-bessel, r-cran-mvtnorm, r-cran-ghyp, r-cran-numderiv, r-cran-mixture, r-cran-e1071, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-mixghd_2.3.7-1.ca2004.1_all.deb
Size: 305076
MD5sum: 5c6d443086d1785f6d493b8ec35110f2
SHA1: 2af1150298b550e67fc35ca4aff12726de8831d1
SHA256: d8746e608174922ed4ac55eafb1542be1ce1e9bfcd455d6d92edc8a5a8c84459
SHA512: cf2256cd71c4d1f127ce1ead93e106227658ce0b5aa90133e72c3877ca4a555e879384b5a58e9e56f0be6730b9c2fc88dc9e46ab2c18ccc3b0a8cf917f31e45e
Homepage: https://cran.r-project.org/package=MixGHD
Description: CRAN Package 'MixGHD' (Model Based Clustering, Classification and Discriminant AnalysisUsing the Mixture of Generalized Hyperbolic Distributions)
 Carries out model-based clustering, classification and discriminant analysis
 using five different models. The models are all based on the generalized
 hyperbolic distribution. The first model 'MGHD' (Browne and McNicholas
 (2015) <doi:10.1002/cjs.11246>) is the classical mixture of generalized
 hyperbolic distributions. The 'MGHFA' (Tortora et al. (2016)
 <doi:10.1007/s11634-015-0204-z>) is the mixture of generalized hyperbolic
 factor analyzers for high dimensional data sets. The 'MSGHD' is the mixture
 of multiple scaled generalized hyperbolic distributions, the 'cMSGHD' is a
 'MSGHD' with convex contour plots and the 'MCGHD', mixture of coalesced
 generalized hyperbolic distributions is a new more flexible model (Tortora
 et al. (2019)<doi:10.1007/s00357-019-09319-3>. The paper related to the
 software can be found at <doi:10.18637/jss.v098.i03>.

Package: r-cran-mixhvg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1445
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-scran, r-cran-seurat, r-cran-matrix, r-bioc-singlecellexperiment, r-bioc-scuttle
Filename: pool/dists/focal/main/r-cran-mixhvg_1.0.1-1.ca2004.1_all.deb
Size: 1343324
MD5sum: d989a90f7f0656e9b9beb82098fd84f8
SHA1: 936a5d94b31f6b4aa53a674596df9354b82f5a87
SHA256: e95a4d697c3fb93e02b10dc11e7f95bdd6d0b147a396027e5ba099b7064cd26e
SHA512: db19329d6b82cfd3a29dbacf6b5d23f53593d675c0f2e1a0cbc019a832cc48ea518c5f953bc56060630e5fd9a70b727d866c29af3e0221f4c3f39fa96200fedc
Homepage: https://cran.r-project.org/package=mixhvg
Description: CRAN Package 'mixhvg' (Mixture of Multiple Highly Variable Feature Selection Methods)
 Highly variable gene selection methods, including popular public available
 methods, and also the mixture of multiple highly variable gene selection
 methods, <https://github.com/RuzhangZhao/mixhvg>. Reference:
 <doi:10.1101/2024.08.25.608519>.

Package: r-cran-mixindependr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mixindependr_1.0.0-1.ca2004.1_all.deb
Size: 227000
MD5sum: df967d932bd3fd04d8f904ddbb2c79f3
SHA1: 7f7c2a0a70f8e3a6cbf6fad55966c21aefe31d88
SHA256: 0f6e7ee53081672012ee0fd39088191bfda9d4293dba583193b24cc3604d9731
SHA512: b1ba4aacb1461cad95d0b533ef38b6666d3434164d20d2c1afa0d711e620bb4c58e9edf2af66f73504a6b6c808db03e01989a287e3b1a6a454a200a2ead8f580
Homepage: https://cran.r-project.org/package=mixIndependR
Description: CRAN Package 'mixIndependR' (Genetics and Independence Testing of Mixed Genetic Panels)
 Developed to deal with multi-locus genotype data, this package is especially
 designed for those panel which include different type of markers. Basic
 genetic parameters like allele frequency, genotype frequency, heterozygosity
 and Hardy-Weinberg test of mixed genetic data can be obtained.  In addition,
 a new test for mutual independence which is compatible for mixed genetic
 data is developed in this package.

Package: r-cran-mixkernel
Architecture: all
Version: 0.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3402
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-mixomics, r-cran-ggplot2, r-cran-reticulate, r-cran-vegan, r-bioc-phyloseq, r-cran-corrplot, r-cran-psych, r-cran-quadprog, r-cran-ldrtools, r-cran-matrix, r-cran-markdown
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mixkernel_0.9-2-1.ca2004.1_all.deb
Size: 2179008
MD5sum: d7638d4f82604d0d8d31c32d473fee39
SHA1: b4ab4a4eb63d4273c37bb7b180135e27d079767a
SHA256: 880635a7d9af5b4613b3cc1dc6a4964db990bc8185025e1ffdbeafd6c9a5c810
SHA512: 28969c0513fdcd429dbdb012c6534bb1c5396ef356808835e803bcbacf60e36aa7ac818d0dbbe2658a96f8f896ec351bef797daabb007a1c0539042ce2d08443
Homepage: https://cran.r-project.org/package=mixKernel
Description: CRAN Package 'mixKernel' (Omics Data Integration Using Kernel Methods)
 Kernel-based methods are powerful methods for integrating heterogeneous
 types of data. mixKernel aims at providing methods to combine kernel for
 unsupervised exploratory analysis. Different solutions are provided to
 compute a meta-kernel, in a consensus way or in a way that best preserves
 the original topology of the data. mixKernel also integrates kernel PCA to
 visualize similarities between samples in a non linear space and from the
 multiple source point of view <doi:10.1093/bioinformatics/btx682>. A method
 to select (as well as funtions to display) important variables is also
 provided <doi:10.1093/nargab/lqac014>.

Package: r-cran-mixlm
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-pls, r-cran-multcomp, r-cran-pracma, r-cran-leaps
Suggests: r-cran-lme4, r-cran-hassediagram
Filename: pool/dists/focal/main/r-cran-mixlm_1.4.2-1.ca2004.1_all.deb
Size: 299368
MD5sum: c5e6ab60e4d1d5c3b89570e9ac3ffd6c
SHA1: 2fdc737ce8660835e9cf98610242c937fc75560e
SHA256: aec2593e37efccc485d57c8896c6eee50ce95fab67fadc0037748a0a7bec26d6
SHA512: b468bb65eff926def193260cb0b312c5c0ea6a74ccab6fc3fd5a1dd2b8d57e04c7673fdcb9d12179d9a5093da7ce5791df7ee4843543b310ca4c48d61dbf8019
Homepage: https://cran.r-project.org/package=mixlm
Description: CRAN Package 'mixlm' (Mixed Model ANOVA and Statistics for Education)
 The main functions perform mixed models analysis by least squares or REML by
 adding the function r() to formulas of lm() and glm(). A collection of
 text-book statistics for higher education is also included, e.g.
 modifications of the functions lm(), glm() and associated summaries from the
 package 'stats'.

Package: r-cran-mixmap
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-mixmap_1.3.4-1.ca2004.1_all.deb
Size: 518080
MD5sum: 7b83050564f1222114017d5750e20fa8
SHA1: 9c0bfbe7b848b5eeaa454b2ef8b2ecdc206eed0c
SHA256: 15e6d3a39a765af8fedd65ae74e7e81aa37b7e5b550dd47e675ac00aaf27025d
SHA512: af9b62bfa3c3045c6de5fc69e0a7c12333414fd53d9081486a602c1b43f6066a4e436a9e487427a178dd42444695f2b0e2b7ce9beb9da6b3a641a0647e3dad82
Homepage: https://cran.r-project.org/package=MixMAP
Description: CRAN Package 'MixMAP' (Implements the MixMAP Algorithm)
 A collection of functions to implement the MixMAP algorithm, which performs
 gene level tests of association using data from a previous GWAS or data from
 a meta-analysis of several GWAS.  Conceptually, genes are detected as
 significant if the collection of p-values within a gene are determined to be
 collectively smaller than would be observed by chance.

Package: r-cran-mixmeta
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-metafor, r-cran-meta, r-cran-rmeta, r-cran-dosresmeta, r-cran-nlme, r-cran-mass, r-cran-dlnm
Filename: pool/dists/focal/main/r-cran-mixmeta_1.2.0-1.ca2004.1_all.deb
Size: 418952
MD5sum: 7363ce94d2672b75d6959361499f6bee
SHA1: 1c43d6d4ab8454d0231a66cd4569332c7fce1a21
SHA256: ec4106065836c28044d49bae9e97e1dc4b191d0052e6c24b55aae4b0cc0576db
SHA512: 48279c09cff80da3de13d9095967209c3f022b66c4894d2e0a0693b3ef95d006553344a7a6e0d087c06a9cdea08296cf6b9edc1876b180792ceea2274b621404
Homepage: https://cran.r-project.org/package=mixmeta
Description: CRAN Package 'mixmeta' (An Extended Mixed-Effects Framework for Meta-Analysis)
 A collection of functions to perform various meta-analytical models through
 a unified mixed-effects framework, including standard univariate fixed and
 random-effects meta-analysis and meta-regression, and non-standard
 extensions such as multivariate, multilevel, longitudinal, and dose-response
 models.

Package: r-cran-mixoofa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doofa, r-cran-crossdes, r-cran-mixexp, r-cran-combinat, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-mixoofa_1.0-1.ca2004.1_all.deb
Size: 53048
MD5sum: 6c658f03b37befad98110c9c5edfe969
SHA1: cd78549d74b472072c66bc67bf06b496f3a6e04d
SHA256: 865212958a9ef32000b15391e3bb065c5092ef040af3e1fa1480bef301d1aef7
SHA512: 57eb3f614064675f8dd2f18e48a588433a6e4c0d4640243be130d13c84c2309b4ac72a76ba92caffd0d8cf50d76447d7585e3ffd1640a5f0c7bd454152a14f69
Homepage: https://cran.r-project.org/package=mixOofA
Description: CRAN Package 'mixOofA' (Design and Analysis of Order-of-Addition Mixture Experiments)
 A facility to generate various classes of fractional designs for
 order-of-addition experiments namely fractional order-of-additions
 orthogonal arrays, see Voelkel, Joseph G. (2019). "The design of
 order-of-addition experiments." Journal of Quality Technology 51:3, 230-241,
 <doi:10.1080/00224065.2019.1569958>. Provides facility to construct
 component orthogonal arrays, see Jian-Feng Yang, Fasheng Sun and Hongquan Xu
 (2020). "A Component Position Model, Analysis and Design for
 Order-of-Addition Experiments." Technometrics,
 <doi:10.1080/00401706.2020.1764394>. Supports generation of fractional
 designs for order-of-addition mixture experiments. Analysis of data from
 order-of-addition mixture experiments is also supported.

Package: r-cran-mixopt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-splitfngr
Suggests: r-cran-contourfunctions, r-cran-gridextra, r-cran-lhs, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mixopt_0.1.3-1.ca2004.1_all.deb
Size: 96452
MD5sum: 3e045871f7bd426867ce4b9b080f9f12
SHA1: 61c2d975b0d59e91ca069a7844e583afbcb9b0bf
SHA256: 53bd561fda03c1c7c792aaf8eeb3948cd345ef0e35907479c8af1da7dfff0e63
SHA512: bc950cfc6802172dd6362b9ebc9d97e6c64b2077c92e26445021db47bfe147cc966483efeda7d0ae6b4cb8350418e5f70f52020b654f6cbe61d29243dfc715d3
Homepage: https://cran.r-project.org/package=mixopt
Description: CRAN Package 'mixopt' (Mixed Variable Optimization)
 Mixed variable optimization for non-linear functions.  Can optimize function
 whose inputs are a combination of continuous, ordered, and unordered
 variables.

Package: r-cran-mixoptim
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-patchwork, r-cran-desirability, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mixoptim_0.1.2-1.ca2004.1_all.deb
Size: 91652
MD5sum: 726c11dd39b07d8ad74facc940ec1709
SHA1: 29314141b00930d8ab1fe4fe7909fe0fb5dc7379
SHA256: 9b7b558c195ff6b6ff7cfee0d853db3e8169fb1d4028cb419ee73a97924c1827
SHA512: 0b8e5d1e2bd6c51398a4518680d387fea98f7804404868483634e002b57c9cbc77c0b5fc74751e683750b020657ebffd6f63391a39343c9447d80b9190417537
Homepage: https://cran.r-project.org/package=MixOptim
Description: CRAN Package 'MixOptim' (Mixture Optimization Algorithm)
 Simple tools to perform mixture optimization based on the 'desirability'
 package by Max Kuhn.  It also provides a plot routine using 'ggplot2' and
 'patchwork'.

Package: r-cran-mixphm
Architecture: all
Version: 0.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mixphm_0.7-2-1.ca2004.1_all.deb
Size: 91304
MD5sum: c9f305e5c29848990a2100e4b461d67f
SHA1: 73cf17829835f2eaff6e8b9d0fc8b18756320cc3
SHA256: c429d2fbd3bf2ee4ddf15c92fb4eb5db4d26ba87d702841d71d656772b432231
SHA512: b0e7b25ce92e29a66465a58ff068ca29db124af4ad3a048f055290087db293cf0f784c3e5d2094c57beabd4037393c71a21606d8fc03a1046f52353eb0296f77
Homepage: https://cran.r-project.org/package=mixPHM
Description: CRAN Package 'mixPHM' (Mixtures of Proportional Hazard Models)
 Fits multiple variable mixtures of various parametric proportional hazard
 models using the EM-Algorithm. Proportionality restrictions can be imposed
 on the latent groups and/or on the variables. Several survival distributions
 can be specified. Missing values and censored values are allowed.
 Independence is assumed over the single variables.

Package: r-cran-mixpoissonreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4824
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-formula, r-cran-rfast, r-cran-dplyr, r-cran-gamlss.dist, r-cran-generics, r-cran-ggplot2, r-cran-gridextra, r-cran-lmtest, r-cran-magrittr, r-cran-statmod, r-cran-tibble, r-cran-rlang, r-cran-ggrepel, r-cran-gamlss
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-devtools, r-cran-bbreg, r-cran-testthat, r-cran-covr, r-cran-tidyr, r-cran-ggfortify, r-cran-broom
Filename: pool/dists/focal/main/r-cran-mixpoissonreg_1.0.0-1.ca2004.1_all.deb
Size: 3024404
MD5sum: 5ef4c0616183426f196f5ba8ff79c5d3
SHA1: 931d4d218a6afa168cc7e24485aac35175c91590
SHA256: 3a03492fbdfbfd20c6b1ca0719edf371cc1b347c1ef5041c06f9b0f647b0e5c8
SHA512: acd63848c4c3bf4cd2ceca8b2416480a2f02cfae99d8010b376587197e54a96f2ea1f9f9bf61817520a51cd43a80c55f21ee8254bc38350ac8fbbd2edfd48952
Homepage: https://cran.r-project.org/package=mixpoissonreg
Description: CRAN Package 'mixpoissonreg' (Mixed Poisson Regression for Overdispersed Count Data)
 Fits mixed Poisson regression models (Poisson-Inverse Gaussian or
 Negative-Binomial) on data sets with response variables being count data.
 The models can have varying precision parameter, where a linear regression
 structure (through a link function) is assumed to hold on the precision
 parameter. The Expectation-Maximization algorithm for both these models
 (Poisson Inverse Gaussian and Negative Binomial) is an important
 contribution of this package. Another important feature of this package is
 the set of functions to perform global and local influence analysis. See
 Barreto-Souza and Simas (2016) <doi:10.1007/s11222-015-9601-6> for further
 details.

Package: r-cran-mixrasch
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mixrasch_1.1-1.ca2004.1_all.deb
Size: 106908
MD5sum: 375fdd18b62e6c076c1bc451e5e6f534
SHA1: 10c9c5053a2244204e526a24bc3dfb6f0d32fc9b
SHA256: efaff7e9a087aa58cbe73fb47ad739cc24784027b83ef3b591c6e255e86400b8
SHA512: 450f1f0428584166509efbe8692c3357831ec6a2a7254b6b9f5baea4497eccd24b07fe73bb63a4dccdf5542d523ba9015196cd8746756a1bb040f320d7554bb9
Homepage: https://cran.r-project.org/package=mixRasch
Description: CRAN Package 'mixRasch' (Mixture Rasch Models with JMLE)
 Estimates Rasch models and mixture Rasch models, including the dichotomous
 Rasch model, the rating scale model, and the partial credit model.

Package: r-cran-mixraschtools
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mixrasch, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mixraschtools_1.1.1-1.ca2004.1_all.deb
Size: 216992
MD5sum: 93ca289da28f4da273055909c67d3cd1
SHA1: d61119741a625099c702b4f8076947dd7c889f9f
SHA256: 7cd8d6a1e91a7db443290001f9f023a8c84343d370298e43bd22cb08179bfeb7
SHA512: 0523a155476346a9443b9b6ef38e5261d905262411cca63f4350c75155641b67c639a62f561a2eccab820de5c13c1e3818f9b08d70d54f9feb7dcc773ac7dc4a
Homepage: https://cran.r-project.org/package=mixRaschTools
Description: CRAN Package 'mixRaschTools' (Plotting and Average Theta Functions for Multiple Class MixedRasch Models)
 Provides supplemental functions for the 'mixRasch' package (Willse, 2014),
 <https://cran.r-project.org/package=mixRasch/mixRasch.pdf> including a
 plotting function to compare item parameters for multiple class models and a
 function that provides average theta values for each class in a mixture
 model.

Package: r-cran-mixreg
Architecture: all
Version: 2.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2550
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mixreg_2.0-10-1.ca2004.1_all.deb
Size: 2094120
MD5sum: 6c8dab7abd36dfe1347f142a81a139a3
SHA1: 7a380b581738465bbd8fd76d58f860064069c158
SHA256: 81af17a78e0bdb3917f7f6835c48b85dd1099fb1b66171eada73f1e4e73fbbbb
SHA512: 4e97730f3271ff08ae7e2db44ed6d56367a8140bfcc1fd8c6fe9d8ea89dac479144be1faf978ff6dc9e5e446c4507e48ec8457de2afd6172ff210f214498fd6d
Homepage: https://cran.r-project.org/package=mixreg
Description: CRAN Package 'mixreg' (Functions to Fit Mixtures of Regressions)
 Fits mixtures of (possibly multivariate) regressions (which has been
 described as doing ANCOVA when you don't know the levels). Turner (2000)
 <doi:10.1111/1467-9876.00198>.

Package: r-cran-mixrf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-randomforest, r-cran-lme4, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-mixrf_1.0-1.ca2004.1_all.deb
Size: 101736
MD5sum: e92144544595b112a4fc0260211743ec
SHA1: 68c02a9ec92d930f1793c141c1502854ab769e83
SHA256: 02e420dfbbe73b773613b0771d35ff5edb0d219a5f93e8968c331c44eaef4f48
SHA512: eb38e845affe23ecd1e2825c585869c1d087fdf94abfd9fdd2c96fa936152534f1eae4a7506a099bd1d1ab06cd24bf412b3f5085e3ae1a1d0611764eb7cc3024
Homepage: https://cran.r-project.org/package=MixRF
Description: CRAN Package 'MixRF' (A Random-Forest-Based Approach for Imputing Clustered IncompleteData)
 It offers random-forest-based functions to impute clustered incomplete data.
 The package is tailored for but not limited to imputing multitissue
 expression data, in which a gene's expression is measured on the collected
 tissues of an individual but missing on the uncollected tissues.

Package: r-cran-mixsal
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mixsal_1.0-1.ca2004.1_all.deb
Size: 53056
MD5sum: 947920f69e602fa0b38920ee9227c00d
SHA1: 525aa23538f41469ae31f287b0a20223e1a00c8f
SHA256: 7f8acd6f1a16dd6dbc85c22a3508b27d5c57756ba5cf650be5eda1294529ba4e
SHA512: 9938514fd595a8092e865abe192e3e1dc1396595f4e6b6d05e76d2262adeb7940bae31626066ef76daebf1e8a99a65149cb28842c03bf8428525d71efb217c49
Homepage: https://cran.r-project.org/package=MixSAL
Description: CRAN Package 'MixSAL' (Mixtures of Multivariate Shifted Asymmetric Laplace (SAL)Distributions)
 The current version of the 'MixSAL' package allows users to generate data
 from a multivariate SAL distribution or a mixture of multivariate SAL
 distributions, evaluate the probability density function of a multivariate
 SAL distribution or a mixture of multivariate SAL distributions, and fit a
 mixture of multivariate SAL distributions using the Expectation-Maximization
 (EM) algorithm (see Franczak et. al, 2014, <doi:10.1109/TPAMI.2013.216>, for
 details).

Package: r-cran-mixsemirob
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gofkernel, r-cran-mass, r-cran-mixtools, r-cran-mvtnorm, r-cran-rlab, r-cran-robustbase, r-cran-ucminf, r-cran-pracma, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mixsemirob_1.1.0-1.ca2004.1_all.deb
Size: 493784
MD5sum: e9e92cd91cbce9bd99059097fab38a9e
SHA1: e994cd2ef65659ecdd7340f33c0dbfb862107c77
SHA256: 7d3e1b157231a643050b554e7c2b3edeeb31efcbb3a649967215f6219aa2fd5a
SHA512: 5aec03f066cc411fe7fbf2b9d5d7c6c910a1ae60cc75fd75d9c95764fda88a09c223cbf553b0eacfae78450142b1f46b47032d25b062d8d40905298bab494141
Homepage: https://cran.r-project.org/package=MixSemiRob
Description: CRAN Package 'MixSemiRob' (Mixture Models: Parametric, Semiparametric, and Robust)
 Various functions are provided to estimate parametric mixture models (with
 Gaussian, t, Laplace, log-concave distributions, etc.) and non-parametric
 mixture models. The package performs hypothesis tests and addresses label
 switching issues in mixture models.  The package also allows for parameter
 estimation in mixture of regressions, proportion-varying mixture of
 regressions, and robust mixture of regressions.

Package: r-cran-mixsep
Architecture: all
Version: 0.2.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 937
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tcltk2, r-cran-mass, r-cran-rodbc
Filename: pool/dists/focal/main/r-cran-mixsep_0.2.1-2-1.ca2004.1_all.deb
Size: 842240
MD5sum: 89c874079f5d6cfc2b2b4b01a16978fe
SHA1: 14c07d52bc9226d6c06e8d20afb273115146f9ff
SHA256: 25d0f9649a63e51f8fdd4e9c91e455d043eee84c585ebf3854c4d7c840070d15
SHA512: c56a6f0926904fde148fc82a5f47b4dcb9c6ed2af11b25b854c35f3a8a3c73ba120adf2303df5371d0f066fc8dd0d8214955ce9d3fd3bcac108948f63328dcd6
Homepage: https://cran.r-project.org/package=mixsep
Description: CRAN Package 'mixsep' (Forensic Genetics DNA Mixture Separation)
 Separates DNA mixtures using a statistical model within a greedy algorithm
 with a useful tcl/tk GUI.

Package: r-cran-mixsiar
Architecture: all
Version: 3.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1913
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-r2jags, r-cran-mass, r-cran-rcolorbrewer, r-cran-reshape, r-cran-reshape2, r-cran-lattice, r-cran-mcmcpack, r-cran-ggmcmc, r-cran-coda, r-cran-loo, r-cran-bayesplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mixsiar_3.1.12-1.ca2004.1_all.deb
Size: 1353772
MD5sum: a0a759b4807b76781ecc2d3cf46d8b50
SHA1: f674446326b61d2859e1baf27c75a9a194c803aa
SHA256: d501709eca996e90a519761385c4068058223b15a2ea118d82815766fa78cb3b
SHA512: 296bb8e61c86a7ea031b5e306783eb079f6264968097e3d50ebc3c9d912617916ec14a0e529c84311f29adaf579859401256bc89b1a550b192d8f89af1ceccb4
Homepage: https://cran.r-project.org/package=MixSIAR
Description: CRAN Package 'MixSIAR' (Bayesian Mixing Models in R)
 Creates and runs Bayesian mixing models to analyze biological tracer data
 (i.e. stable isotopes, fatty acids), which estimate the proportions of
 source (prey) contributions to a mixture (consumer). 'MixSIAR' is not one
 model, but a framework that allows a user to create a mixing model based on
 their data structure and research questions, via options for fixed/ random
 effects, source data types, priors, and error terms. 'MixSIAR' incorporates
 several years of advances since 'MixSIR' and 'SIAR'.

Package: r-cran-mixsmsn
Architecture: all
Version: 1.1-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mixsmsn_1.1-11-1.ca2004.1_all.deb
Size: 212940
MD5sum: 02b583fcd73a665689b8ffb1f7f96a43
SHA1: 3f8c0389cc8452ac22d884bad7daf6d698bf1d73
SHA256: bc007fdd6970c961ce744e0c0441ee7caeceb180654cb15437ec6a46648c59ae
SHA512: 92b062896eb42fc09bae342a24ca318114697acc25f5a9fdde4026bd8360b7c545ee5a38f6e5feb078db15dd6a84309a551b16f99c9835dcafeb3b5d2044c739
Homepage: https://cran.r-project.org/package=mixsmsn
Description: CRAN Package 'mixsmsn' (Fitting Finite Mixture of Scale Mixture of Skew-NormalDistributions)
 Functions to fit finite mixture of scale mixture of skew-normal (FM-SMSN)
 distributions, details in Prates, Lachos and Cabral (2013) <doi:
 10.18637/jss.v054.i12>, Cabral, Lachos and Prates (2012)
 <doi:10.1016/j.csda.2011.06.026> and Basso, Lachos, Cabral and Ghosh (2010)
 <doi:10.1016/j.csda.2009.09.031>.

Package: r-cran-mixspe
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mixspe_0.9.3-1.ca2004.1_all.deb
Size: 105656
MD5sum: 733d0c6f5af6c1b8769603dfbf1b2873
SHA1: 0425731e1ba0c1b982595d45f118956eb2204600
SHA256: 19f6aec812531f629571e853047c11bb8ce06e823946d07a3cfeba29b4b46605
SHA512: 56b2d5abba5b38a1a9526eeda13fe1be51e6ccbf3bc226237a1f8d206f2573f69c4422ce7194019104c3c566a1ca9463c6906ab0b69e7dce66683691b0093737
Homepage: https://cran.r-project.org/package=mixSPE
Description: CRAN Package 'mixSPE' (Mixtures of Power Exponential and Skew Power ExponentialDistributions for Use in Model-Based Clustering andClassification)
 Mixtures of skewed and elliptical distributions are implemented using
 mixtures of multivariate skew power exponential and power exponential
 distributions, respectively. A generalized expectation-maximization
 framework is used for parameter estimation. See citation() for how to cite.

Package: r-cran-mixssg
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ars, r-cran-mass, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-mixssg_2.1.1-1.ca2004.1_all.deb
Size: 86616
MD5sum: e066c6c29c2295ff0bdfe306c6fda256
SHA1: 7d8f5e2328fb84b3d7121636139276bc636dc234
SHA256: bb52a8036ce461dccc938eea96a076bf52414dc3b03c14da9227cdab7304c7fd
SHA512: 22d737509d0710ee386732110270f5aa8206779f955c5b5f72319f37b1b03f5a4f2142e3ea4a5ef85333d7d98e2ff014fa72968daff4b2ef4cc9c17755d47e2c
Homepage: https://cran.r-project.org/package=mixSSG
Description: CRAN Package 'mixSSG' (Clustering Using Mixtures of Sub Gaussian Stable Distributions)
 Developed for model-based clustering using the finite mixtures of skewed
 sub-Gaussian stable distributions developed by Teimouri (2022)
 <arXiv:2205.14067> and estimating parameters of the symmetric stable
 distribution within the Bayesian framework.

Package: r-cran-mixtnb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mixtnb_1.0-1.ca2004.1_all.deb
Size: 30584
MD5sum: 652260d6dc751775ab434375d6216227
SHA1: e5ff6331b82f80326cf702eb879282f9bdfc1aa0
SHA256: d43200c0da56a908bc4d45a40cd4e3a204bfb1e5a377cbfc7279545b4a0d308f
SHA512: a5a4234f215a3dec04f52285ca4cba0d8d64dcad780470b1e6405e2ef3a2c4dda7339b91e6ae3e437a1736bb01bf429d265c919a59f89f058c045fa9d488a854
Homepage: https://cran.r-project.org/package=mixtNB
Description: CRAN Package 'mixtNB' (DE Analysis of RNA-Seq Data by Mixtures of NB)
 Differential expression analysis of RNA-Seq data when replicates under two
 conditions are available is performed. First, mixtures of Negative Binomial
 distributions are fitted on the data in order to estimate the dispersions,
 then the Wald test is computed.

Package: r-cran-mixtox
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-mixtox_1.4.0-1.ca2004.1_all.deb
Size: 588780
MD5sum: 0e7a6fe5e8f48a263ae3e70d41aa1752
SHA1: d65f0a10de86ef82001e89072a5402e2a5c225c0
SHA256: 110db66540217d69aeedeaa91b44629f19d1b3ddb47dd6871955f2325c8b00dc
SHA512: 230e7088b4a93893c191e251433ad856df4cb770b284510139a3306ff56dacad2b722d826a3320f290e27e786697303f1858a4506060364b27bb0adbdc78f271
Homepage: https://cran.r-project.org/package=mixtox
Description: CRAN Package 'mixtox' (Dose Response Curve Fitting and Mixture Toxicity Assessment)
 Curve Fitting of monotonic(sigmoidal) & non-monotonic(J-shaped)
 dose-response data. Predicting mixture toxicity based on reference models
 such as 'concentration addition', 'independent action', and 'generalized
 concentration addition'.

Package: r-cran-mixtree
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-treespace, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mixtree_0.0.1-1.ca2004.1_all.deb
Size: 127752
MD5sum: f9f8bc13b502e880f8ebd39a2eff5882
SHA1: 143c50acf99094bd4790d3fa125ba5d5d5273fc7
SHA256: 7e59b75c1d87eac1f5cace33381b7a725c962e520014e12187917835d82eb1ed
SHA512: b6216285bbca2211cb0bc10f480d93b6c052ff3682af8de2ce6ecac78d1f42aa5214b4a2daaadfc64a6341c706998f446cc439f3c1ed06e6e107ca08a306ca22
Homepage: https://cran.r-project.org/package=mixtree
Description: CRAN Package 'mixtree' (A Statistical Framework for Comparing Sets of Trees)
 Statistical framework for comparing sets of trees using hypothesis testing
 methods. Designed for transmission trees, phylogenetic trees, and directed
 acyclic graphs (DAGs), the package implements chi-squared tests to compare
 edge frequencies between sets and PERMANOVA to analyse topological
 dissimilarities with customisable distance metrics, following Anderson
 (2001) <doi:10.1111/j.1442-9993.2001.01070.pp.x>.

Package: r-cran-mixtur
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mixtur_1.2.1-1.ca2004.1_all.deb
Size: 474976
MD5sum: 0d4635b6427b30e8253096edcd838fce
SHA1: a5f18bd0271eceef0457f919d10462dd305bc427
SHA256: ce607dffa451b5a02d80d01061e4bcbe74108ed5181aaeed6f749f98d6aba4de
SHA512: 307318a8c7d48932b0ae10cbe358067fe08feb80ad69bf175b138cd67cb2b4d20971c566ffdcb95869666fd9de4271cf4bd6b39504976b8b99b31c26d724a5f3
Homepage: https://cran.r-project.org/package=mixtur
Description: CRAN Package 'mixtur' (Modelling Continuous Report Visual Short-Term Memory Studies)
 A set of utility functions for analysing and modelling data from continuous
 report short-term memory experiments using either the 2-component mixture
 model of Zhang and Luck (2008) <doi:10.1038/nature06860> or the 3-component
 mixture model of Bays et al. (2009) <doi:10.1167/9.10.7>. Users are also
 able to simulate from these models.

Package: r-cran-mixtureinf
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-mixtureinf_1.1-1.ca2004.1_all.deb
Size: 279584
MD5sum: d9fed0e8459688a4aca0b4ce64d559cb
SHA1: 1910ac5ec07ffad5df6405142c12d10a17aed16a
SHA256: 540536f4bc32266c81a5ac3c5bf98d8a3c59c3a3e8fa857f5b6a85e8163e3744
SHA512: 50671d420fc9179930ba78ea84e3a276659c7a7bd060ea98d67b3ac27be87038380517813bfdaa6d6908a103468c7279b96eb831b62c7069a8ab793baa7260ec
Homepage: https://cran.r-project.org/package=MixtureInf
Description: CRAN Package 'MixtureInf' (Inference for Finite Mixture Models)
 Functions for computing the penalized maximum likelihood estimate (PMLE) or
 maximum likelihood estimate (MLE), testing the order of a finite mixture
 model using EM-test, drawing histogram of observations and the fitted
 density or probability mass function of the mixture model.

Package: r-cran-mixturemissing
Architecture: all
Version: 3.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-mnormt, r-cran-cluster, r-cran-mass, r-cran-numderiv, r-cran-bessel, r-cran-mclust, r-cran-mice
Filename: pool/dists/focal/main/r-cran-mixturemissing_3.0.4-1.ca2004.1_all.deb
Size: 284804
MD5sum: 7413b280f41b3e000e87d7f0986eac68
SHA1: 06863f2af03fd94faa1935a7af49210ed9e9e130
SHA256: 9369729cbdcc19ed0a3b29cf8478ce136299454e371c8dab6da2de9085f0dc36
SHA512: 519d80c9cc070d920e9ec953da3508d62a4ab9a604799db960336206cdeabffcedd761ab53221a8af18827a9519bd6f83422d0043f900575769256cd26f89042
Homepage: https://cran.r-project.org/package=MixtureMissing
Description: CRAN Package 'MixtureMissing' (Robust and Flexible Model-Based Clustering for Data Sets withMissing Values at Random)
 Implementations of various robust and flexible model-based clustering
 methods for data sets with missing values at random.  Two main models are:
 Multivariate Contaminated Normal Mixture (MCNM, Tong and Tortora, 2022,
 <doi:10.1007/s11634-021-00476-1>) and Multivariate Generalized Hyperbolic
 Mixture (MGHM, Wei et al., 2019, <doi:10.1016/j.csda.2018.08.016>). Mixtures
 via some special or limiting cases of the multivariate generalized
 hyperbolic distribution are also included: Normal-Inverse Gaussian,
 Symmetric Normal-Inverse Gaussian, Skew-Cauchy, Cauchy, Skew-t, Student's t,
 Normal, Symmetric Generalized Hyperbolic, Hyperbolic Univariate Marginals,
 Hyperbolic, and Symmetric Hyperbolic.

Package: r-cran-mixtwice
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alabama, r-cran-ashr, r-cran-fdrtool, r-cran-iso
Filename: pool/dists/focal/main/r-cran-mixtwice_2.0-1.ca2004.1_all.deb
Size: 2173588
MD5sum: 6fd3e0cff7ce7675206250310ed5f01d
SHA1: 87cbe027608ab4aeb4daacc98e2c0357d9c88736
SHA256: 0bef1f0e3e9db19d843ad15308903c7925552f6a1cd86b5bda254e5117ddbfaa
SHA512: 2f13451382cc231d85a9939ec3fc43946b860e70706c81f2c29101aaf740c2c5269a83054ea3714412e5eb18eecf903425dcaed668552a9eb35f3261601c4f4c
Homepage: https://cran.r-project.org/package=MixTwice
Description: CRAN Package 'MixTwice' (Large-Scale Hypothesis Testing by Variance Mixing)
 Implements large-scale hypothesis testing by variance mixing. It takes two
 statistics per testing unit -- an estimated effect and its associated
 squared standard error -- and fits a nonparametric, shape-constrained
 mixture separately on two latent parameters. It reports local false
 discovery rates (lfdr) and local false sign rates (lfsr). Manuscript
 describing algorithm of MixTwice: Zheng et al(2021) <doi:
 10.1093/bioinformatics/btab162>.

Package: r-cran-mixvir
Architecture: all
Version: 3.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4054
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-biostrings, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-plotly, r-cran-readr, r-cran-shiny, r-cran-stringr, r-cran-tidyr, r-cran-vcfr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mixvir_3.5.0-1.ca2004.1_all.deb
Size: 1778212
MD5sum: 50507ad974f33e49f248b489b4f32c99
SHA1: 590da5090849351cb576aebbb5b169ed1d3c10a1
SHA256: 8e1dab295e56ec53415e162ba7e80ad11eecd19ed54a1bf2b7808618d0ba1c88
SHA512: 7bb0e528125c232766ee30eb93ab0e2dc1d6c592c56a3e56e62a7169d4636256c0ce00d49828539340536485e74f9840811a7d9792936aeb8bfd4a85961153d3
Homepage: https://cran.r-project.org/package=MixviR
Description: CRAN Package 'MixviR' (Analysis and Exploration of Mixed Microbial Genomic Samples)
 Tool for exploring DNA and amino acid variation and inferring the presence
 of target lineages from microbial high-throughput genomic DNA samples that
 potentially contain mixtures of variants/lineages. MixviR was originally
 created to help analyze environmental SARS-CoV-2/Covid-19 samples from
 environmental sources such as wastewater or dust, but can be applied to any
 microbial group. Inputs include reference genome information in
 commonly-used file formats (fasta, bed) and one or more variant call format
 (VCF) files, which can be generated with programs such as Illumina's DRAGEN,
 the Genome Analysis Toolkit, or bcftools. See DePristo et al (2011)
 <doi:10.1038/ng.806> and Danecek et al (2021)
 <doi:10.1093/gigascience/giab008> for these tools, respectively. Available
 outputs include a table of mutations observed in the sample(s), estimates of
 proportions of target lineages in the sample(s), and an R Shiny dashboard to
 interactively explore the data.

Package: r-cran-mize
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 702
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mize_0.2.4-1.ca2004.1_all.deb
Size: 394260
MD5sum: 993fd1bb791642341b37b45bb6c9df43
SHA1: c4174dcba0f795270c2a1b19cd91d51ca77719c4
SHA256: b1b45feb4d2c53eb02ca65e7edca2ad2991e85d6291986217c978aa1354608dd
SHA512: 0878604fc1fc01871fde0cec17dd80df62f3b37c7e98b4cf501c3f47fe6aad571291baaa68509801518c0c9febfcb19a0b2865d47fd81ac9f599671215c774a2
Homepage: https://cran.r-project.org/package=mize
Description: CRAN Package 'mize' (Unconstrained Numerical Optimization Algorithms)
 Optimization algorithms implemented in R, including conjugate gradient (CG),
 Broyden-Fletcher-Goldfarb-Shanno (BFGS) and the limited memory BFGS (L-BFGS)
 methods. Most internal parameters can be set through the call interface. The
 solvers hold up quite well for higher-dimensional problems.

Package: r-cran-mkclass
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-mkclass_0.5-1.ca2004.1_all.deb
Size: 154656
MD5sum: dc85d9c804477e5f889859f6a8b5e176
SHA1: 3f5789fb101dffe41d405c0cb420f041379120d9
SHA256: 96a9a5441be2f4713dc475336a7590919375fcf3ba83f2db2a3c6c5e30eb3084
SHA512: 40b1fb528ee7047dde982cf2009c8b110e61d2a479ae9d3babdb157ff784039d23e50327a65ee45ea342f742456f49816f1b48ddba0b44cb2ff93f5c00bf796c
Homepage: https://cran.r-project.org/package=MKclass
Description: CRAN Package 'MKclass' (Statistical Classification)
 Performance measures and scores for statistical classification such as
 accuracy, sensitivity, specificity, recall, similarity coefficients, AUC,
 GINI index, Brier score and many more. Calculation of optimal cut-offs and
 decision stumps (Iba and Langley (1991),
 <doi:10.1016/B978-1-55860-247-2.50035-8>) for all implemented performance
 measures. Hosmer-Lemeshow goodness of fit tests (Lemeshow and Hosmer (1982),
 <doi:10.1093/oxfordjournals.aje.a113284>; Hosmer et al (1997),
 <doi:10.1002/(SICI)1097-0258(19970515)16:9%3C965::AID-SIM509%3E3.0.CO;2-O>).
 Statistical and epidemiological risk measures such as relative risk, odds
 ratio, number needed to treat (Porta (2014),
 <doi:10.1093%2Facref%2F9780199976720.001.0001>).

Package: r-cran-mkdescr
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mkdescr_0.8-1.ca2004.1_all.deb
Size: 372344
MD5sum: abb143f9d1a71ae4b8071e20499c70ee
SHA1: 1c1c46878438d02dccb7f5fbcee122566238a512
SHA256: 007c07e21c956da1bd19aa4bf47867a34943823791b0c175a223dc835bf70327
SHA512: 587c9995f5159c9220edcd8d664bd1581c15e713cbe92d436f94e3d34d3ba42d00d59820b25412efb75ff75b784819efd349a06493abd767d3f03949fa7e215c
Homepage: https://cran.r-project.org/package=MKdescr
Description: CRAN Package 'MKdescr' (Descriptive Statistics)
 Computation of standardized interquartile range (IQR), Huber-type skipped
 mean (Hampel (1985), <doi:10.2307/1268758>), robust coefficient of variation
 (CV) (Arachchige et al. (2019), <arXiv:1907.01110>), robust signal to noise
 ratio (SNR), z-score, standardized mean difference (SMD), as well as
 functions that support graphical visualization such as boxplots based on
 quartiles (not hinges), negative logarithms and generalized logarithms for
 'ggplot2' (Wickham (2016), ISBN:978-3-319-24277-4).

Package: r-cran-mkendall
Architecture: all
Version: 1.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mkendall_1.5-4-1.ca2004.1_all.deb
Size: 22760
MD5sum: 22cfd415ef2a2d8da9dfe243379252cd
SHA1: b74b7ed8f50599610a07c3289b405d1d3146b82b
SHA256: 4a22edf6f114650972c9c83a2c7b375fc87d79d207eb63466e3caca55c6a6efd
SHA512: cbbf77767ebfd5f47001591df016dccb825beb06c4e6aebf37d5073ffda4af5c9decf416e7134976170efb5257df74c22dda3168e7424d3c7c3586e9b2794076
Homepage: https://cran.r-project.org/package=MKendall
Description: CRAN Package 'MKendall' (Matrix Kendall's Tau and Matrix Elliptical Factor Model)
 Large-scale matrix-variate data have been widely observed nowadays in
 various research areas such as finance, signal processing and medical
 imaging. Modelling matrix-valued data by matrix-elliptical family not only
 provides a flexible way to handle heavy-tail property and tail dependencies,
 but also maintains the intrinsic row and column structure of random
 matrices. We proposed a new tool named matrix Kendall's tau which is
 efficient for analyzing random elliptical matrices. By applying this new
 type of Kendell’s tau to the matrix elliptical factor model, we propose a
 Matrix-type Robust Two-Step (MRTS) method to estimate the loading and factor
 spaces. See the details in He at al. (2022) <arXiv:2207.09633>. In this
 package, we provide the algorithms for calculating sample matrix Kendall's
 tau, the MRTS method and the Matrix Kendall's tau Eigenvalue-Ratio (MKER)
 method which is used for determining the number of factors.

Package: r-cran-mkin
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3909
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desolve, r-cran-r6, r-cran-inline, r-cran-numderiv, r-cran-lmtest, r-cran-pkgbuild, r-cran-nlme, r-cran-saemix, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rbenchmark, r-cran-tikzdevice, r-cran-testthat, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr, r-cran-benchmarkme, r-cran-tibble, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-mkin_1.2.10-1.ca2004.1_all.deb
Size: 2792364
MD5sum: eea0b45d55b3ef15174d010da2771375
SHA1: 0763c3f1c294f76461d27b244a270e7bff03c8ba
SHA256: 1a1dd56a9c33250dbd57573b6187db7dcc6ecf047a640ac943472be1609a4483
SHA512: 7a1288b6f64ca79ec3e55fd37dae9baa70b62a71e11971f47b3a9cc7295d60984d02e61f93d41f407d502f7c8d0659f35b24313a8709b563e8819fb123cff674
Homepage: https://cran.r-project.org/package=mkin
Description: CRAN Package 'mkin' (Kinetic Evaluation of Chemical Degradation Data)
 Calculation routines based on the FOCUS Kinetics Report (2006, 2014).
 Includes a function for conveniently defining differential equation models,
 model solution based on eigenvalues if possible or using numerical solvers.
 If a C compiler (on windows: 'Rtools') is installed, differential equation
 models are solved using automatically generated C functions.  Non-constant
 errors can be taken into account using variance by variable or two-component
 error models <doi:10.3390/environments6120124>.  Hierarchical degradation
 models can be fitted using nonlinear mixed-effects model packages as a back
 end <doi:10.3390/environments8080071>.  Please note that no warranty is
 implied for correctness of results or fitness for a particular purpose.

Package: r-cran-mkinfer
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 866
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mkdescr, r-cran-boot, r-cran-arrangements, r-cran-nlme, r-cran-ggplot2, r-cran-exactranktests, r-cran-miceadds
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-amelia, r-cran-mice, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mkinfer_1.2-1.ca2004.1_all.deb
Size: 577816
MD5sum: b73dc964b0c8d77d8711177bd6bc857a
SHA1: b34e19ceb4eeb5693d94c59e154e5326fc373f70
SHA256: bd4140d59e55d310e06d7a63a0164a26490f411d1abbe208cc1447131537016e
SHA512: 5c4935c6a8bfa6d0821e2748ec3ea377e52e8f9625167d1fdd7cc06d55f8ca2c59f9329d49fa28a09c8ab0da2901a479863c34f53e10e2633283a8e02eb33fd3
Homepage: https://cran.r-project.org/package=MKinfer
Description: CRAN Package 'MKinfer' (Inferential Statistics)
 Computation of various confidence intervals (Altman et al. (2000),
 ISBN:978-0-727-91375-3; Hedderich and Sachs (2018), ISBN:978-3-662-56657-2)
 including bootstrapped versions (Davison and Hinkley (1997),
 ISBN:978-0-511-80284-3) as well as Hsu (Hedderich and Sachs (2018),
 ISBN:978-3-662-56657-2), permutation (Janssen (1997),
 <doi:10.1016/S0167-7152(97)00043-6>), bootstrap (Davison and Hinkley (1997),
 ISBN:978-0-511-80284-3), intersection-union (Sozu et al. (2015),
 ISBN:978-3-319-22005-5) and multiple imputation (Barnard and Rubin (1999),
 <doi:10.1093/biomet/86.4.948>) t-test; furthermore, computation of
 intersection-union z-test as well as multiple imputation Wilcoxon tests.
 Graphical visualization by volcano and Bland-Altman plots (Bland and Altman
 (1986), <doi:10.1016/S0140-6736(86)90837-8>; Shieh (2018),
 <doi:10.1186/s12874-018-0505-y>).

Package: r-cran-mkle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mkle_1.0.1-1.ca2004.1_all.deb
Size: 30724
MD5sum: 4d82fda2957992b2fd15a00944a38afe
SHA1: bed39cb59b30ff753aa89d1345d4f5732d1c82a6
SHA256: 3fb18766fea49e5709a22f0cf983bc3519b7e581ae76c8deb9923a2dad04c597
SHA512: 5e17f2c90c761489cc1ae00b45522b9bd062d17a5c0184313d809b587837a81183c1db26994c46d1ffce61fc0d176b7fe8b185598281fbfd18b89bea5a8ea8be
Homepage: https://cran.r-project.org/package=MKLE
Description: CRAN Package 'MKLE' (Maximum Kernel Likelihood Estimation)
 Package for fast computation of the maximum kernel likelihood estimator
 (mkle).

Package: r-cran-mkmeans
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mkmeans_3.1-1.ca2004.1_all.deb
Size: 24820
MD5sum: 2d86220a92483b0913a89ee2648c1d82
SHA1: 9a3a02ff908842b8b0ab9103b9547a271729cf6e
SHA256: 86d8acd3b6a3cc4679291f40cb3e063e6943847844e97119a20e95aea85f8de0
SHA512: 93eee107f195d5ab9f0dc2c1c7039550c02992247b7a40e7089366e1dc1e309b79fe0050cd159d66a2f4650b7a1f6fa3a3340dc3505a60a03a6c74e5dba8de9d
Homepage: https://cran.r-project.org/package=MKMeans
Description: CRAN Package 'MKMeans' (A Modern K-Means (MKMeans) Clustering Algorithm)
 It's a Modern K-Means clustering algorithm allowing data of any number of
 dimensions, any initial center, and any number of clusters to expect.

Package: r-cran-mkmisc
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcolorbrewer, r-cran-robustbase, r-cran-ggplot2, r-cran-scales, r-bioc-limma
Suggests: r-cran-gplots, r-cran-amelia, r-cran-knitr, r-cran-rmarkdown, r-cran-exactranktests, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-mkmisc_1.9-1.ca2004.1_all.deb
Size: 735272
MD5sum: 8d9ffbaa310711de56a7b0c429395500
SHA1: 74d8a0d3545ae3ab6484753f91133f8daec0e266
SHA256: d09436695e15e858159dffdfd9b69c0322d7aa00c61b1ed33c92b07d19fb367c
SHA512: 91244b0bba5d4014b596b74d27c0f35c04ffccc477c7fa46846090f4922837baaad9423f00226999059f02da9888d792adc732b5fd37d5243918f4c38e24f09c
Homepage: https://cran.r-project.org/package=MKmisc
Description: CRAN Package 'MKmisc' (Miscellaneous Functions from M. Kohl)
 Contains several functions for statistical data analysis; e.g. for sample
 size and power calculations, computation of confidence intervals and tests,
 and generation of similarity matrices.

Package: r-cran-mknapsack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-data.table, r-cran-lpsolve
Suggests: r-cran-testthat, r-cran-mockery, r-cran-rglpk, r-cran-roi, r-cran-roi.plugin.glpk
Filename: pool/dists/focal/main/r-cran-mknapsack_0.1.0-1.ca2004.1_all.deb
Size: 29300
MD5sum: 49ed4edc807d2f25900f91420a8a2b0e
SHA1: cf77f26abb46013cc06b1479c40ce24aa9a26ad3
SHA256: 68213a40cb40a0c271e4a968f483b2ef166a2c1e644718da854e9529ff283a2d
SHA512: 30631c460c0dc49777a3f61e578e0387dc82666c7266c260372114e5e552dd757857ac40af3fcf89ee3bd7cdd3640e95015ca069b1cda03668685c341ea16e46
Homepage: https://cran.r-project.org/package=mknapsack
Description: CRAN Package 'mknapsack' (Multiple Knapsack Problem Solver)
 Package solves multiple knapsack optimisation problem.  Given a set of
 items, each with volume and value, it will allocate them to knapsacks of a
 given size in a way that value of top N knapsacks is as large as possible.

Package: r-cran-mkomics
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 605
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-robustbase, r-bioc-limma, r-cran-circlize, r-bioc-complexheatmap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mkomics_0.7-1.ca2004.1_all.deb
Size: 390288
MD5sum: 60149f40f8002399634911d16a61e850
SHA1: fdc369101802e8d68329d44602a9352a48df2ca7
SHA256: fe42b974de38b0960e6e31371f9765049948cf31e2aa46f0de661c7be59b1d02
SHA512: dcb31689f73e8335c4da01aacc754de796f7844bacce3352189c587823440a595dc2e34336c15a694495c975b5bc74569216472bea334689b2b30dd1b3e53e87
Homepage: https://cran.r-project.org/package=MKomics
Description: CRAN Package 'MKomics' (Omics Data Analysis)
 Similarity plots based on correlation and median absolute deviation (MAD);
 adjusting colors for heatmaps; aggregate technical replicates; calculate
 pairwise fold-changes and log fold-changes; compute one- and two-way ANOVA;
 simplified interface to package 'limma' (Ritchie et al. (2015),
 <doi:10.1093/nar/gkv007> ) for moderated t-test and one-way ANOVA; Hamming
 and Levenshtein (edit) distance of strings as well as optimal alignment
 scores for global (Needleman-Wunsch) and local (Smith-Waterman) alignments
 with constant gap penalties (Merkl and Waack (2009),
 ISBN:978-3-527-32594-8).

Package: r-cran-mkpower
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixtests, r-cran-ggplot2, r-cran-mkdescr, r-cran-mkinfer, r-cran-qqplotr, r-cran-coin, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mkpower_1.0-1.ca2004.1_all.deb
Size: 492796
MD5sum: 800d21367300a6fc5d054dff754b99d1
SHA1: 2a9f7c869b7d1d8dd73d75d2cc2081532cb99092
SHA256: cb9c91f20222f51a34cf17492f924a86f81e4eb401a09559d1c4e7f18af26570
SHA512: dfdce8f0dd67b81fd9ee3c1902e9de8c9ba2cf61110dd80c47b3547f34d0155bead4ea9e3606469003a8a7cc5dec6254af956de478729bda680bb376213efd75
Homepage: https://cran.r-project.org/package=MKpower
Description: CRAN Package 'MKpower' (Power Analysis and Sample Size Calculation)
 Power analysis and sample size calculation for Welch and Hsu (Hedderich and
 Sachs (2018), ISBN:978-3-662-56657-2) t-tests including Monte-Carlo
 simulations of empirical power and type-I-error. Power and sample size
 calculation for Wilcoxon rank sum and signed rank tests via Monte-Carlo
 simulations. Power and sample size required for the evaluation of a
 diagnostic test(-system) (Flahault et al. (2005),
 <doi:10.1016/j.jclinepi.2004.12.009>; Dobbin and Simon (2007),
 <doi:10.1093/biostatistics/kxj036>) as well as for a single proportion
 (Fleiss et al. (2003), ISBN:978-0-471-52629-2; Piegorsch (2004),
 <doi:10.1016/j.csda.2003.10.002>; Thulin (2014), <doi:10.1214/14-ejs909>),
 comparing two negative binomial rates (Zhu and Lakkis (2014),
 <doi:10.1002/sim.5947>), ANCOVA (Shieh (2020),
 <doi:10.1007/s11336-019-09692-3>), reference ranges (Jennen-Steinmetz and
 Wellek (2005), <doi:10.1002/sim.2177>), multiple primary endpoints (Sozu et
 al. (2015), ISBN:978-3-319-22005-5), and AUC (Hanley and McNeil (1982),
 <doi:10.1148/radiology.143.1.7063747>).

Package: r-cran-mkssd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mkssd_1.2-1.ca2004.1_all.deb
Size: 22088
MD5sum: 4aece1697b94872d29c28df1f7ee06c1
SHA1: 513e137a17f087cfed029adfea12822972c0a6d6
SHA256: 1dba1cac81feb8737f4b49eac8559452cfc3661ba5159c9d14821f75eec251fa
SHA512: 7792d86ca699dfd66102eddd54670109b126359eea1978726ece9a38422cdf50eda4b8cb814e604272fa6df6a2e2594e4b8aff081f1b34cbf7e161e3fadf8c47
Homepage: https://cran.r-project.org/package=mkssd
Description: CRAN Package 'mkssd' (Efficient Multi-Level k-Circulant Supersaturated Designs)
 Generates efficient balanced non-aliased multi-level k-circulant
 supersaturated designs by interchanging the elements of the generator
 vector. Attempts to generate a supersaturated design that has chisquare
 efficiency more than user specified efficiency level (mef). Displays the
 progress of generation of an efficient multi-level k-circulant design
 through a progress bar. The progress of 100% means that one full round of
 interchange is completed. More than one full round (typically 4-5 rounds) of
 interchange may be required for larger designs.

Package: r-cran-ml.msbd
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-ml.msbd_1.2.1-1.ca2004.1_all.deb
Size: 270852
MD5sum: 161c880adc7605a02aeb7fe5848f74d5
SHA1: f8b8405ab5f45e6cdb0350e03c21298ebdcb39b3
SHA256: 32ac3534b2693478d6c81aed93f5f0b708bfedc512a0e2fcae9989392e928467
SHA512: cc30993edfe07f54e98b772f3bd188e271036f99b067127c206c8b3f3e894993bd1646595cc2e9bec88c08899d3c11cf56fd9e2030f63fb8c2a4236a64bb2500
Homepage: https://cran.r-project.org/package=ML.MSBD
Description: CRAN Package 'ML.MSBD' (Maximum Likelihood Inference on Multi-State Trees)
 Inference of a multi-states birth-death model from a phylogeny, comprising a
 number of states N, birth and death rates for each state and on which edges
 each state appears. Inference is done using a hybrid approach: states are
 progressively added in a greedy approach. For a fixed number of states N the
 best model is selected via maximum likelihood. Reference: J. Barido-Sottani,
 T. G. Vaughan and T. Stadler (2018) <doi:10.1098/rsif.2018.0512>.

Package: r-cran-ml2pvae
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-keras, r-cran-reticulate, r-cran-tensorflow, r-cran-tfprobability
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ml2pvae_1.0.0.1-1.ca2004.1_all.deb
Size: 263836
MD5sum: c3c7b487da4efb0e113d3c61361dbcd1
SHA1: 34574214640387736f25742f5aafde16e71ab03a
SHA256: cbdffe2b95f6d2248e9b2c977936d1957cfd275ddce7af65469b1c77fb9428fc
SHA512: 5b67823fceaed8076fc1b41dbcdfa9dad3908923d0a6e74ad5c927aa0af7d511b02f60279e7f39df262db250253176edbd3c593710ea71e9b6a1307ac255269f
Homepage: https://cran.r-project.org/package=ML2Pvae
Description: CRAN Package 'ML2Pvae' (Variational Autoencoder Models for IRT Parameter Estimation)
 Based on the work of Curi, Converse, Hajewski, and Oliveira (2019)
 <doi:10.1109/IJCNN.2019.8852333>. This package provides easy-to-use
 functions which create a variational autoencoder (VAE) to be used for
 parameter estimation in Item Response Theory (IRT) - namely the
 Multidimensional Logistic 2-Parameter (ML2P) model. To use a neural network
 as such, nontrivial modifications to the architecture must be made, such as
 restricting the nonzero weights in the decoder according to some binary
 matrix Q. The functions in this package allow for straight-forward
 construction, training, and evaluation so that minimal knowledge of
 'tensorflow' or 'keras' is required.

Package: r-cran-mlapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-matrix
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mlapi_0.1.1-1.ca2004.1_all.deb
Size: 200980
MD5sum: 73088ee3c95477f95a1b5f7661eac143
SHA1: c3566818fbf45ca13d2f488a90c142ca468a6788
SHA256: a6a9a5b203790d995983d59029e21e1c9317893f11d80250059b40ac833df8d9
SHA512: 0676a292d16b85727f18e0c263b8b6c8254da8d2dff9312e31dd5255a7c4b96e85e3a847b7ce0f1a5206322f98b2d7e891db36e51b13851617083b149330dbbb
Homepage: https://cran.r-project.org/package=mlapi
Description: CRAN Package 'mlapi' (Abstract Classes for Building 'scikit-learn' Like API)
 Provides 'R6' abstract classes for building machine learning models with
 'scikit-learn' like API. <https://scikit-learn.org/> is a popular module for
 'Python' programming language which design became de facto a standard in
 industry for machine learning tasks.

Package: r-cran-mlbplotr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4996
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-ggplot2, r-cran-gt, r-cran-lifecycle, r-cran-magick, r-cran-magrittr, r-cran-rlang, r-cran-scales
Suggests: r-cran-base64enc, r-cran-dplyr, r-cran-ggtext, r-cran-gridtext, r-cran-knitr, r-cran-rsvg, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-sjmisc
Filename: pool/dists/focal/main/r-cran-mlbplotr_1.1.0-1.ca2004.1_all.deb
Size: 4881268
MD5sum: 6045bee9f8c579deca73e1e2b191d45d
SHA1: 8d9859d09443bdbad1d282a2d566fbe647cc76cc
SHA256: 6d4616b0e0152627210c84d8a1c4c0f681bc2940ee02ba6560924e23eef7f07c
SHA512: 03caf1e03cae47d54d9c261fe766efda7c48b096971b107dbb325f81256d95b4c874a93e9e3090b9accfd4c9c5811895f4b2de241fc020560aae1b959515059e
Homepage: https://cran.r-project.org/package=mlbplotR
Description: CRAN Package 'mlbplotR' (Create 'ggplot2' and 'gt' Visuals with Major League BaseballLogos)
 Tools to help visualize Major League Baseball analysis in 'ggplot2' and
 'gt'. You provide team/player information and 'mlbplotR' will transform that
 information into team colors, logos, or player headshots for graphics.

Package: r-cran-mlbstats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlbstats_0.1.0-1.ca2004.1_all.deb
Size: 79536
MD5sum: 08c9f8e74d77d5e8b4ba0a76174b5233
SHA1: 32e905ea6182351701a5708bb9e899b382d3ce9b
SHA256: 1141c48367df5ffcb00c946ca9fbaf9a475f9fab2139f844cfc03649bb9ee9f7
SHA512: 47129a26522efe8772b88119829f9490f75f63eb2e732c440f32e2822c668d2e23e20c58885fe1c5fe0f87f10bf19289b5caadf3a50ee7ee253a369eee5e1ca9
Homepage: https://cran.r-project.org/package=mlbstats
Description: CRAN Package 'mlbstats' (Major League Baseball Player Statistics Calculator)
 Computational functions for player metrics in major league baseball
 including batting, pitching, fielding, base-running, and overall player
 statistics. This package is actively maintained with new metrics being added
 as they are developed.

Package: r-cran-mlcirtwithin
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-limsolve, r-cran-multilcirt
Filename: pool/dists/focal/main/r-cran-mlcirtwithin_2.1.2-1.ca2004.1_all.deb
Size: 252684
MD5sum: df3e57731e6183d557265b018d410ef1
SHA1: 64b02102f8ebdb30c46ac2b7057e8f355cd66894
SHA256: f41f1554fab866fd1fa759f99ba9941eb941b456f9e696f23b2280f61e70e137
SHA512: 6395c01e53c5b8f5e0deb701bd838afe77960382ee84b3651a4e27baa42e8a1b32c5670390b71e558a2888e0090b84822a7574b66927289cb41734a6226b2314
Homepage: https://cran.r-project.org/package=MLCIRTwithin
Description: CRAN Package 'MLCIRTwithin' (Latent Class Item Response Theory (LC-IRT) Models underWithin-Item Multidimensionality)
 Framework for the Item Response Theory analysis of dichotomous and ordinal
 polytomous outcomes under the assumption of within-item multidimensionality
 and discreteness of the latent traits. The fitting algorithms allow for
 missing responses and for different item parametrizations and are based on
 the Expectation-Maximization paradigm. Individual covariates affecting the
 class weights may be included in the new version together with possibility
 of constraints on all model parameters.

Package: r-cran-mlcm
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlcm_0.4.3-1.ca2004.1_all.deb
Size: 112112
MD5sum: fed04ded128817c6e14de87060f10e4b
SHA1: 748c3650d3ec8245d1fb1aa0591877fc8371c396
SHA256: d850f47216ad0fb3b520797b5689f07beef7b58ed49500cb78dfa3c6a7e2056c
SHA512: 76f650eb30d2d4eae68d2789f03793b335cc6117b1ae4e03144d715ab66bdcb7eafcf675dd5fd9bd0e1791b8aa9f05471d5df9f540798d6b29a37e23230700d9
Homepage: https://cran.r-project.org/package=MLCM
Description: CRAN Package 'MLCM' (Maximum Likelihood Conjoint Measurement)
 Conjoint measurement is a psychophysical procedure in which stimulus pairs
 are presented that vary along 2 or more dimensions and the observer is
 required to compare the stimuli along one of them.  This package contains
 functions to estimate the contribution of the n scales to the judgment by a
 maximum likelihood method under several hypotheses of how the perceptual
 dimensions interact. Reference: Knoblauch & Maloney (2012) "Modeling
 Psychophysical Data in R". <doi:10.1007/978-1-4614-4475-6>.

Package: r-cran-mlcopula
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-igraph, r-cran-gridcopula, r-cran-kde1d, r-cran-pracma, r-cran-tsp
Filename: pool/dists/focal/main/r-cran-mlcopula_1.0.1-1.ca2004.1_all.deb
Size: 86176
MD5sum: 682848e5ef5d43c4f5baba6a981845fd
SHA1: 98ebb620ae9b98a1946741d14d94cb3704c5bb98
SHA256: 33bd69c2b5c9387635282c2fbb900f81b4079b4ce3b4c71c1cf2414b700101df
SHA512: a9245908596ae121e58639b3d0102864708ac78823abf4d4c4d7307a2ceb971de389673e321e311df5f486a1aca24f5a532704c01f76bcdfc0933cec3efdf7c4
Homepage: https://cran.r-project.org/package=MLCOPULA
Description: CRAN Package 'MLCOPULA' (Classification Models with Copula Functions)
 Provides several classifiers based on probabilistic models. These
 classifiers allow to model the dependence structure of continuous features
 through bivariate copula functions and graphical models, see
 Salinas-Gutiérrez et al. (2014) <doi:10.1007/s00180-013-0457-y>.

Package: r-cran-mldashiny2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-klar, r-cran-mass, r-cran-dplyr, r-cran-caret, r-cran-discriminer, r-cran-e1071, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-mldashiny2_0.1.0-1.ca2004.1_all.deb
Size: 70344
MD5sum: b3538e4c7b4ef01e7dd5a9d170a71cf2
SHA1: 6c3412905b51a0b0c8535efc4d9911c7e7366f96
SHA256: 5461bdcc0ff17fb7268706cdc00aaa9a5e7a58b11dae529b0e12ff6d17a07a6e
SHA512: dbb00acfeadfa12ebcb3d032b047d58c9ea60502f358fa5af7890e48f93a042cbf07c52ab0cef8e1a88fc9304831a918152a3bd10168ab3886ad18e47f684797
Homepage: https://cran.r-project.org/package=MLDAShiny2
Description: CRAN Package 'MLDAShiny2' (Interactive Document for Working with Discriminant Analysis)
 An interactive document on the topic of linear discriminant analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://analyticmodels.shinyapps.io/DiscriminantAnalysisModelling/>.

Package: r-cran-mldashiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-klar, r-cran-mass, r-cran-dplyr, r-cran-caret, r-cran-discriminer, r-cran-e1071, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-mldashiny_0.1.0-1.ca2004.1_all.deb
Size: 70256
MD5sum: d7a39e91ea8580e1cbe3927164e0f46d
SHA1: 50e36edb800dbb1f33277f6579d12dc513ab8b73
SHA256: 4abbb13c0cd6775739dd051d7ec3be497a9a111744b1e9840f6072890a20d256
SHA512: d47bc68110f5953a51ce217085fa7f544e04c067fa4f830c4320c07a5bb79f9bad919c047ca08a07bc8151c82ae303cd1d09bf010b57c9f78c59b2f597548a57
Homepage: https://cran.r-project.org/package=MLDAShiny
Description: CRAN Package 'MLDAShiny' (Interactive Document for Working with Discriminant Analysis)
 An interactive document on the topic of linear discriminant analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://analyticmodels.shinyapps.io/DiscriminantAnalysisModelling/>.

Package: r-cran-mldatar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-confusiontabler, r-cran-dplyr, r-cran-parsnip, r-cran-rsample, r-cran-recipes, r-cran-workflows, r-cran-ranger, r-cran-caret, r-cran-varhandle, r-cran-oddsplotty, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mldatar_1.0.1-1.ca2004.1_all.deb
Size: 315948
MD5sum: 38d33418030a970ad069e5984a8cefe5
SHA1: c0fac91638231159dcb153c79d48b1caf4dc5c03
SHA256: d78d0a778c5a67f4cf4e852603e8d9b6bcad2dd9c2e8397d12e9da48e1cf0858
SHA512: 51e84aa5afc497a9b0292662dbf15cbe768d5a6abc297f6d0d4f7a26782f9c4466fa70114754a1c038c80367cd0f1b0217d7feb3435cda90117b665d706c6ca2
Homepage: https://cran.r-project.org/package=MLDataR
Description: CRAN Package 'MLDataR' (Collection of Machine Learning Datasets for Supervised MachineLearning)
 Contains a collection of datasets for working with machine learning tasks.
 It will contain datasets for supervised machine learning Jiang
 (2020)<doi:10.1016/j.beth.2020.05.002> and will include datasets for
 classification and regression.  The aim of this package is to use data
 generated around health and other domains.

Package: r-cran-mldr.datasets
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3370
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mldr
Filename: pool/dists/focal/main/r-cran-mldr.datasets_0.4.2-1.ca2004.1_all.deb
Size: 3176316
MD5sum: d0196cbb0dae741b814690281fddc1b5
SHA1: d1d5da1217fcec76fc501713fc6b0ae0d329b5b9
SHA256: 91241c5b5efb07fc19afa25897319c049e9768f2b90e8afcd98d56c0885cbd7a
SHA512: fbe944997031d0c3f59d148d4aeb20b57ad8ab3ff6b5149c5ebd856cb0a3082895f2173bdf632834af7687ac9da81977aaac25bec23a7adfa81e98b0e7ec6808
Homepage: https://cran.r-project.org/package=mldr.datasets
Description: CRAN Package 'mldr.datasets' (R Ultimate Multilabel Dataset Repository)
 Large collection of multilabel datasets along with the functions needed to
 export them to several formats, to make partitions, and to obtain
 bibliographic information.

Package: r-cran-mldr.resampling
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-e1071, r-cran-mldr, r-cran-pbapply, r-cran-vecsets
Filename: pool/dists/focal/main/r-cran-mldr.resampling_0.2.3-1.ca2004.1_all.deb
Size: 131856
MD5sum: 764119cdef1cd8567db2e699130ec34c
SHA1: b75a2a06c8b755c7f0da4371872eff86e40eb710
SHA256: 5693f0f4132c2935a69518173acd209e266037334abd7031be155aeea5f24219
SHA512: 09f39f70e408a2f792a2ad06c8e03013b0b506120f8f1a37df40d5daa9e28f65c321f3c14fa765541dd20f2e52ac6d52f830e46c16a6757c2c2765f820da2caa
Homepage: https://cran.r-project.org/package=mldr.resampling
Description: CRAN Package 'mldr.resampling' (Resampling Algorithms for Multi-Label Datasets)
 Collection of the state of the art multi-label resampling algorithms. The
 objective of these algorithms is to achieve balance in multi-label datasets.

Package: r-cran-mldr
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1531
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-xml, r-cran-circlize
Suggests: r-cran-proc, r-cran-knitr, r-cran-mldr.datasets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mldr_0.4.3-1.ca2004.1_all.deb
Size: 1376132
MD5sum: ea2369a784d09469d56a420cbb9a01b8
SHA1: dcac161e1a45281acc185200718947ebbbf5ebc4
SHA256: c9384b35c233440697893581b4da55a01d3d03ec4a97e3eb357e94b019dabcc3
SHA512: 875525c4694b6f5c7451b368ed916844731645b9046960acdb5345c4d76a3c1daa434abf46990f725da2ca4a22078fb64e297e5bf53a2d3ebde02077df8ef36e
Homepage: https://cran.r-project.org/package=mldr
Description: CRAN Package 'mldr' (Exploratory Data Analysis and Manipulation of Multi-Label DataSets)
 Exploratory data analysis and manipulation functions for multi- label data
 sets along with an interactive Shiny application to ease their use.

Package: r-cran-mlds
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mlds_0.5.1-1.ca2004.1_all.deb
Size: 543392
MD5sum: c9e2e568261cfa30d3e191fd10903aed
SHA1: e0e3ea489b4fe31d5b6f22e9447b1fb52afec10e
SHA256: 007c082a92d64dd448d9a1373c65c2b9c1e5fc54df8d72c5a517773f1007b2d3
SHA512: 746334636799a2ead10679c33ba980c1a92b4dfbb0afb67e667ffcc212353683ae92f46388200027a7d9b9fc51c6d9b77e3c35c06673eb671a342cbeeeff8fc4
Homepage: https://cran.r-project.org/package=MLDS
Description: CRAN Package 'MLDS' (Maximum Likelihood Difference Scaling)
 Difference scaling is a method for scaling perceived supra-threshold
 differences.  The package contains functions that allow the user to design
 and run a difference scaling experiment, to fit the resulting data by
 maximum likelihood and test the internal validity of the estimated scale.

Package: r-cran-mle.tools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-mle.tools_1.0.0-1.ca2004.1_all.deb
Size: 34424
MD5sum: 0bf7a87ff823750ee043d1bc69a3cd88
SHA1: 9f92ee2c2ba14ad28593365fa2487e8c1d52f935
SHA256: b98c57f05a60e4e5e3d478bcc7c38227d92f8527b1313c81e5ee7de5fb3892b0
SHA512: 2e7cba927998fb785c8ce1c6b0c97732560feb01ea415075a4fda7064466c0881445abef2ea1ae0e368778d1f607fe5810bb78c885a12f94fb09fd1ae6e429b6
Homepage: https://cran.r-project.org/package=mle.tools
Description: CRAN Package 'mle.tools' (Expected/Observed Fisher Information and Bias-Corrected MaximumLikelihood Estimate(s))
 Calculates the expected/observed Fisher information and the bias-corrected
 maximum likelihood estimate(s) via Cox-Snell Methodology.

Package: r-cran-mle
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bgfd, r-cran-bivpois, r-cran-ccd, r-cran-compoissonreg, r-cran-compositional, r-cran-directional, r-cran-geppe, r-cran-gp, r-cran-mn, r-cran-rfast, r-cran-rfast2
Suggests: r-cran-mvcauchy
Filename: pool/dists/focal/main/r-cran-mle_1.5-1.ca2004.1_all.deb
Size: 173672
MD5sum: 18ca87c64766d61d843e8a4cf6ba7a28
SHA1: 0a6a07456379e2787f03f2ef097cd9f1ce7bcc15
SHA256: f706431479f41a6297afe6d2b525a0303544bbae7a3210157c6bf666da4f51e9
SHA512: d6a07d60f9a5d84909c846d06ece1ca1eac51f215582a9b8704807d8762e2080bfa19d38ab8514950fd4c072176a6800356995d676b09c86cfad5fd79cb47dec
Homepage: https://cran.r-project.org/package=MLE
Description: CRAN Package 'MLE' (Maximum Likelihood Estimation of Various Univariate andMultivariate Distributions)
 Several functions for maximum likelihood estimation of various univariate
 and multivariate distributions. The list includes more than 100 functions
 for univariate continuous and discrete distributions, distributions that lie
 on the real line, the positive line, interval restricted, circular
 distributions. Further, multivariate continuous and discrete distributions,
 distributions for compositional and directional data, etc. Some references
 include Johnson N. L., Kotz S. and Balakrishnan N. (1994). "Continuous
 Univariate Distributions, Volume 1" <ISBN:978-0-471-58495-7>, Johnson,
 Norman L. Kemp, Adrianne W. Kotz, Samuel (2005). "Univariate Discrete
 Distributions". <ISBN:978-0-471-71580-1> and Mardia, K. V. and Jupp, P. E.
 (2000). "Directional Statistics". <ISBN:978-0-471-95333-3>.

Package: r-cran-mlearning
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-class, r-cran-nnet, r-cran-mass, r-cran-e1071, r-cran-randomforest, r-cran-ipred, r-cran-rpart
Suggests: r-cran-mlbench, r-cran-rcolorbrewer, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mlearning_1.2.1-1.ca2004.1_all.deb
Size: 226500
MD5sum: 053fa6604f27b147ec702ce0b92e8fa3
SHA1: d08e95d3f7262f91a23934dc7e4a7fb35d4780c8
SHA256: a03c2ea7ef5b88bfa08a4672e72df7d0df1814a2b9a1bea2fb2ec4e632173fbc
SHA512: c9b62a190eca2ead5502a3af9f846abeacfe6e9be13f5943a0ad381107b7d0d19fb45229fa86f9eac78f91d1788a1b5ed203000ed0752528c219662cc051d901
Homepage: https://cran.r-project.org/package=mlearning
Description: CRAN Package 'mlearning' (Machine Learning Algorithms with Unified Interface and ConfusionMatrices)
 A unified interface is provided to various machine learning algorithms like
 linear or quadratic discriminant analysis, k-nearest neighbors, random
 forest, support vector machine, ... It allows to train, test, and apply
 cross-validation using similar functions and function arguments with a
 minimalist and clean, formula-based interface. Missing data are processed
 the same way as base and stats R functions for all algorithms, both in
 training and testing. Confusion matrices are also provided with a rich set
 of metrics calculated and a few specific plots.

Package: r-cran-mlece
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nleqslv, r-cran-laplacesdemon, r-cran-sirt, r-cran-ggplot2, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mlece_2.1.0-1.ca2004.1_all.deb
Size: 110808
MD5sum: f6605e1f92b0dc693bb1aaf75c66c6ee
SHA1: 26a3ee1729cfa5140c0228c6016ed2704f7c9a1f
SHA256: 57d6bf0975f6f0d69b7a103717bf10be0737a96b8c30c48cd9cd48026e40a51d
SHA512: 86f317902d70ac79eec0c74ea3caffe4a2f27bd804823cfff76bced836899e00d85b20515b40c568dc995245d873c0529aedcc2a3ae9f8c85fdf34f56f250f8a
Homepage: https://cran.r-project.org/package=MLEce
Description: CRAN Package 'MLEce' (Asymptotic Efficient Closed-Form Estimators for MultivariateDistributions)
 Asymptotic efficient closed-form estimators (MLEces) are provided in this
 package for three multivariate distributions(gamma, Weibull and Dirichlet)
 whose maximum likelihood estimators (MLEs) are not in closed forms.
 Closed-form estimators are strong consistent, and have the similar
 asymptotic normal distribution like MLEs. But the calculation of MLEces are
 much faster than the corresponding MLEs. Further details and explanations of
 MLEces can be found in.  Jang, et al. (2023) <doi:10.1111/stan.12299>.  Kim,
 et al. (2023) <doi:10.1080/03610926.2023.2179880>.

Package: r-cran-mlelod
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlelod_1.0.0.1-1.ca2004.1_all.deb
Size: 15240
MD5sum: e795019a1dfc4376d14b509743b0612b
SHA1: 53faebaf4398da961f2c918c2a9f966acf84b6e4
SHA256: f55652fc3b4647bd2d9d9599f6511f0b4b9caf23e30e509969a8fccd36808b0e
SHA512: 37676388ae632602dc76a196f3311b37067cbb342794711f26d57fc51660f7efa67f8af8406a11ed754733fbd509d9685430b13b95687e3f25290c84cc1c0fa7
Homepage: https://cran.r-project.org/package=mlelod
Description: CRAN Package 'mlelod' (MLE for Normally Distributed Data Censored by Limit of Detection)
 Values below the limit of detection (LOD) are a problem in several fields of
 science, and there are numerous approaches for replacing the missing data.
 We present a new mathematical solution for maximum likelihood estimation
 that allows us to estimate the true values of the mean and standard
 deviation for normal distributions and is significantly faster than previous
 implementations. The article with the details was submitted to JSS and can
 be currently seen on
 <https://www2.arnes.si/~tverbo/LOD/Verbovsek_Sega_2_Manuscript.pdf>.

Package: r-cran-mlergm
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1307
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ergm, r-cran-network, r-cran-matrix, r-cran-stringr, r-cran-ggally, r-cran-ggplot2, r-cran-cowplot, r-cran-reshape2, r-cran-plyr, r-cran-lpsolve, r-cran-sna, r-cran-statnet.common
Suggests: r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlergm_0.8.1-1.ca2004.1_all.deb
Size: 939056
MD5sum: c2b7b3451aae76e05a19734098871820
SHA1: 5023f097fb7b97a595bbd60b9a3c637967240a62
SHA256: 3d2433c0096e325fed69e0d04c8931ad3e4dc76b864616c7d2cdf79aa1a7faeb
SHA512: faf974ea29242d8d45ef4eb311df6b4405906f5a02096d0c3f23027c7f80635040f27c237d75aba63231d6e792cf945913da777bcdc3b41cf449e02ff3430796
Homepage: https://cran.r-project.org/package=mlergm
Description: CRAN Package 'mlergm' (Multilevel Exponential-Family Random Graph Models)
 Estimates exponential-family random graph models for multilevel network
 data, assuming the multilevel structure is observed. The scope, at present,
 covers multilevel models where the set of nodes is nested within known
 blocks. The estimation method uses Monte-Carlo maximum likelihood estimation
 (MCMLE) methods to estimate a variety of canonical or curved exponential
 family models for binary random graphs. MCMLE methods for curved
 exponential-family random graph models can be found in Hunter and Handcock
 (JCGS, 2006). The package supports parallel computing, and provides methods
 for assessing goodness-of-fit of models and visualization of networks.

Package: r-cran-mleur
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-urca, r-cran-stabledist, r-cran-fgarch, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mleur_1.0-6-1.ca2004.1_all.deb
Size: 140096
MD5sum: 82398c34a80e8d3c815124b499e57339
SHA1: 91b136c35e2c83f3dd0d4b38532b3f8a6c30592d
SHA256: bf3376fd364f6937fbde59b7d58d3332039ecbb1e02cd3e11d3075b457bdd308
SHA512: 5b8f2bffa2c3ec4e2a67b6013f357f56450ee9fb4eaf4bb5a319893c29859789824688793d70dd2100ed3851a5833772408e12526325236ce3fbaade2442b9c2
Homepage: https://cran.r-project.org/package=mleur
Description: CRAN Package 'mleur' (Maximum likelihood unit root test)
 Provides functions for unit root testing using MLE method

Package: r-cran-mleval
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mleval_0.3-1.ca2004.1_all.deb
Size: 411516
MD5sum: 5e96c0ae5d35628f2faa7362ff192303
SHA1: dae714b5ec264be091b00dce832cc2be7880226a
SHA256: 505290612f07ecd15b562df32ffce88f9843a421217286c30bcb990b135b1e75
SHA512: 19561e54bd837e228f46fa4d979286b4c169860a6ad5106b9441c3a1fbb4f1b28e16a1ab65378555c5af0d136c5aa4c8ac9402da92de72c6a10086d95e268b84
Homepage: https://cran.r-project.org/package=MLeval
Description: CRAN Package 'MLeval' (Machine Learning Model Evaluation)
 Straightforward and detailed evaluation of machine learning models. 'MLeval'
 can produce receiver operating characteristic (ROC) curves, precision-recall
 (PR) curves, calibration curves, and PR gain curves. 'MLeval' accepts a data
 frame of class probabilities and ground truth labels, or, it can
 automatically interpret the Caret train function results from repeated cross
 validation, then select the best model and analyse the results. 'MLeval'
 produces a range of evaluation metrics with confidence intervals.

Package: r-cran-mlexperiments
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1294
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-kdry, r-cran-progress, r-cran-r6, r-cran-splittools
Suggests: r-cran-class, r-cran-lintr, r-cran-mlbench, r-cran-mlr3measures, r-cran-parbayesianoptimization, r-cran-quarto, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlexperiments_0.0.5-1.ca2004.1_all.deb
Size: 571308
MD5sum: b83282fb21f1956e5dcbfeb21b23d6c1
SHA1: b103a78c300e007c59e8e252445439e27b993ca9
SHA256: 7800577d5717b555a1ed81a1d74070fb6c23c5d7e03d82827a32830ee505d9a5
SHA512: 75c07790f4c6d2f10fbd5f041a89267b2b57516ba40f3d6c39735a810b7644d33b3632fd989eb1d058899e02737595423e58bb8d847d8db4557b1ad40ed27ddd
Homepage: https://cran.r-project.org/package=mlexperiments
Description: CRAN Package 'mlexperiments' (Machine Learning Experiments)
 Provides 'R6' objects to perform parallelized hyperparameter optimization
 and cross-validation. Hyperparameter optimization can be performed with
 Bayesian optimization (via 'ParBayesianOptimization'
 <https://cran.r-project.org/package=ParBayesianOptimization>) and grid
 search. The optimized hyperparameters can be validated using k-fold
 cross-validation. Alternatively, hyperparameter optimization and validation
 can be performed with nested cross-validation. While 'mlexperiments' focuses
 on core wrappers for machine learning experiments, additional learner
 algorithms can be supplemented by inheriting from the provided learner base
 class.

Package: r-cran-mlf
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlf_1.2.1-1.ca2004.1_all.deb
Size: 44968
MD5sum: 2765c928c3748dc75466c9ec1ea07e4f
SHA1: d4a46d076d1fe352b28562a8e8bea22fbf46052f
SHA256: 175909786e96b4d3bb1947a70c2ee12c7753ae97e4622ec2aa245767888db50d
SHA512: 2b58c6b0f1b6ebc46ff08eccab65c3eadf4208414395edd65fe98cbfcf124e232416837562c539e2ff6c9910148510a2c9fbd39c454a81f60ceee3f64e374adc
Homepage: https://cran.r-project.org/package=mlf
Description: CRAN Package 'mlf' (Machine Learning Foundations)
 Offers a gentle introduction to machine learning concepts for practitioners
 with a statistical pedigree: decomposition of model error (bias-variance
 trade-off), nonlinear correlations, information theory and functional
 permutation/bootstrap simulations. Székely GJ, Rizzo ML, Bakirov NK. (2007).
 <doi:10.1214/009053607000000505>. Reshef DN, Reshef YA, Finucane HK,
 Grossman SR, McVean G, Turnbaugh PJ, Lander ES, Mitzenmacher M, Sabeti PC.
 (2011). <doi:10.1126/science.1205438>.

Package: r-cran-mlfit
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-dplyr, r-cran-hms, r-cran-kimisc, r-cran-matrix, r-cran-plyr, r-cran-tibble, r-cran-forcats, r-cran-rlang, r-cran-wrswor, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-testthat, r-cran-mass, r-cran-sampling, r-cran-xml, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-mlfit_0.5.3-1.ca2004.1_all.deb
Size: 230164
MD5sum: 2c05226f91f34525db90cf86629d7957
SHA1: e2c5a09d14dff7978f481440dd2ea5c1d59f74f0
SHA256: 812c4659c3bb118bd9fa30210d91a5c6cbe92c82d0c22eef40b26da3a180d2c9
SHA512: 76b9573eedf82cf3352ce2735cc14944728c6e024de8440d64803389ccb23aef7980ad63e9d721f4c958eb0ef5520b845a6df5b76ebd788a783ad66808957865
Homepage: https://cran.r-project.org/package=mlfit
Description: CRAN Package 'mlfit' (Iterative Proportional Fitting Algorithms for Nested Structures)
 The Iterative Proportional Fitting (IPF) algorithm operates on count data.
 This package offers implementations for several algorithms that extend this
 to nested structures: 'parent' and 'child' items for both of which
 constraints can be provided.  The fitting algorithms include Iterative
 Proportional Updating <https://trid.trb.org/view/881554>, Hierarchical IPF
 <doi:10.3929/ethz-a-006620748>, Entropy Optimization
 <https://trid.trb.org/view/881144>, and Generalized Raking
 <doi:10.2307/2290793>. Additionally, a number of replication methods is also
 provided such as 'Truncate, replicate, sample'
 <doi:10.1016/j.compenvurbsys.2013.03.004>.

Package: r-cran-mlflow
Architecture: all
Version: 2.22.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-forge, r-cran-fs, r-cran-git2r, r-cran-glue, r-cran-httpuv, r-cran-httr, r-cran-ini, r-cran-jsonlite, r-cran-openssl, r-cran-processx, r-cran-purrr, r-cran-rlang, r-cran-swagger, r-cran-tibble, r-cran-withr, r-cran-yaml, r-cran-zeallot
Suggests: r-cran-carrier, r-cran-covr, r-cran-h2o, r-cran-keras, r-cran-lintr, r-cran-sparklyr, r-cran-stringi, r-cran-testthat, r-cran-reticulate, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlflow_2.22.1-1.ca2004.1_all.deb
Size: 236480
MD5sum: c1ddbd4a4a7ba65b356d6709ad23b62d
SHA1: 5d820aa38a8ceee01c2de2d1f0c17d4ad342637f
SHA256: c3c45588a325471b2bf49b5f35697ff9c35b97e8a79dbdad0066c0b4037deb00
SHA512: 593b4aaebf63be28108f5da5e3c51a3999708ab060e371102ef38ab90ce44b0f15dfb9b3729a52b8afc48ed092fdcad8dfc1742387be07b8cceb32c6aaaea1fc
Homepage: https://cran.r-project.org/package=mlflow
Description: CRAN Package 'mlflow' (Interface to 'MLflow')
 R interface to 'MLflow', open source platform for the complete machine
 learning life cycle, see <https://mlflow.org/>.  This package supports
 installing 'MLflow', tracking experiments, creating and running projects,
 and saving and serving models.

Package: r-cran-mlfs
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2025
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-pscl, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mlfs_0.4.2-1.ca2004.1_all.deb
Size: 2009196
MD5sum: aadf22d6a233c96018da6108f420b0cf
SHA1: b1d05f04b4c6fdc0a7d276f3a05202044c1a9804
SHA256: fa61511c9ce959f42831506f5163ddc9dec218be58e163e9418021994d0e061a
SHA512: 8fcf40b916810425edbba02955af6eac3d6d9a83619cd2c635ec2f5d80c0af41cab74d19b6f32f317d4a9eab4b2b66ec8a3b7bafc109455bb29b74d1c6d399a3
Homepage: https://cran.r-project.org/package=MLFS
Description: CRAN Package 'MLFS' (Machine Learning Forest Simulator)
 Climate-sensitive forest simulator based on the principles of machine
 learning. It stimulates all key processes in the forest: radial growth,
 height growth, mortality, crown recession, regeneration and harvesting. The
 method for predicting tree heights was described by Skudnik and Jevšenak
 (2022) <doi:10.1016/j.foreco.2022.120017>, while the method for predicting
 basal area increments (BAI) was described by Jevšenak and Skudnik (2021)
 <doi:10.1016/j.foreco.2020.118601>.

Package: r-cran-mlgdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlgdata_0.1.0-1.ca2004.1_all.deb
Size: 236856
MD5sum: b42467d48cdf914e6413244618248d83
SHA1: 10d5180b4217db1d7f99b01d3a6e5c0be5de5186
SHA256: 2afb3cd3743c0210cf89f471dcbd6f384a0bf1684cfbbc6b7c754af6dab250aa
SHA512: a156bbeed075c6f6b901cf54c42d7ab4576986723743d13d0186656a078f1be11bdd0c902133ee649029b5b8352e30148f1fdfd86319cbdae70bb5e200b390c0
Homepage: https://cran.r-project.org/package=MLGdata
Description: CRAN Package 'MLGdata' (Datasets for Use with Salvan, Sartori and Pace (2020))
 Contains the datasets for use with the book Salvan, Sartori and Pace (2020,
 ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".

Package: r-cran-mlgl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gglasso, r-cran-mass, r-cran-matrix, r-cran-fastcluster, r-cran-factominer, r-cran-paralleldist
Filename: pool/dists/focal/main/r-cran-mlgl_1.0.0-1.ca2004.1_all.deb
Size: 186412
MD5sum: 646233e9c0e9fdfd9596eaa70e888629
SHA1: d79aaabf07f39d492bda57b52376aebd78ee464a
SHA256: 81f38666d44b17adb990aa789a2b3cce5cc2159b4197f7cc90aed38a78544c23
SHA512: c603a1c8f855ef7ad726379d6e296c3e970d9291663a4c5f8a6184a82580286aa1261410bc3d0fd1bbbab7153ac23c98c1feeadc4df9167e3fa7fb5d1dbe1c5a
Homepage: https://cran.r-project.org/package=MLGL
Description: CRAN Package 'MLGL' (Multi-Layer Group-Lasso)
 It implements a new procedure of variable selection in the context of
 redundancy between explanatory variables, which holds true with high
 dimensional data (Grimonprez et al. (2023) <doi:10.18637/jss.v106.i03>).

Package: r-cran-mlid
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3714
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-lme4
Suggests: r-cran-raster, r-cran-sp, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlid_1.0.1-1.ca2004.1_all.deb
Size: 3182472
MD5sum: 50c4442f27649746cec15baad6ab740b
SHA1: dd1d35e23b9e1f862b54cdfbb58c3056261db5d9
SHA256: b61471ea8219be548e6a95d3b174f1b4654f7a62234f837036982ba90c68ddf2
SHA512: 94d4b4b8fb30107368d503dcc6a1a445eaef102880e81f2b1e3a38fd4afa8611f367c8e07c189b146365e194dccf63706bd726c809cdc5fef0f96b71d6d76c33
Homepage: https://cran.r-project.org/package=MLID
Description: CRAN Package 'MLID' (Multilevel Index of Dissimilarity)
 Tools and functions to fit a multilevel index of dissimilarity.

Package: r-cran-mlim
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1080
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-h2o, r-cran-curl, r-cran-mice, r-cran-missranger, r-cran-memuse, r-cran-md.log
Filename: pool/dists/focal/main/r-cran-mlim_0.3.0-1.ca2004.1_all.deb
Size: 894912
MD5sum: 6a713618a96c04b1ecb16f6e5b960f37
SHA1: 9067e700d6ee645d11163088ee5d62b23f5c3d32
SHA256: c35771754dd662e1b05c96d985a1476a33a2ce467eb3e067b3124290c54ec754
SHA512: 990356ee7db069c13687d85b75f00e4f851fa7bc030a46cd177bb670c67ef92d60326ca506940135ed7349ae3b235ba7edaf2caac19280086d05fc409bb48435
Homepage: https://cran.r-project.org/package=mlim
Description: CRAN Package 'mlim' (Single and Multiple Imputation with Automated Machine Learning)
 Machine learning algorithms have been used for performing single missing
 data imputation and most recently, multiple imputations.  However, this is
 the first attempt for using automated machine learning algorithms for
 performing both single and multiple imputation. Automated machine learning
 is a procedure for fine-tuning the model automatic, performing a random
 search for a model that results in less error, without overfitting the data.
 The main idea is to allow the model to set its own parameters for imputing
 each variable separately instead of setting fixed predefined parameters to
 impute all variables of the dataset.  Using automated machine learning, the
 package fine-tunes an Elastic Net (default) or Gradient Boosting, Random
 Forest, Deep Learning, Extreme Gradient Boosting, or Stacked Ensemble
 machine learning model (from one or a combination of other supported
 algorithms) for imputing the missing observations. This procedure has been
 implemented for the first time by this package and is expected to outperform
 other packages for imputing missing data that do not fine-tune their models.
 The multiple imputation is implemented via bootstrapping without letting the
 duplicated observations to harm the cross-validation procedure, which is the
 way imputed variables are evaluated.  Most notably, the package implements
 automated procedure for handling imputing imbalanced data (class rarity
 problem), which happens when a factor variable has a level that is far more
 prevalent than the other(s). This is known to result in biased predictions,
 hence, biased imputation of missing data. However, the autobalancing
 procedure ensures that instead of focusing on maximizing accuracy
 (classification error) in imputing factor variables, a fairer procedure and
 imputation method is practiced.

Package: r-cran-mllrnrs
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1751
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-kdry, r-cran-mlexperiments, r-cran-r6
Suggests: r-cran-glmnet, r-cran-lightgbm, r-cran-lintr, r-cran-mlbench, r-cran-mlr3measures, r-cran-parbayesianoptimization, r-cran-quarto, r-cran-ranger, r-cran-splittools, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mllrnrs_0.0.5-1.ca2004.1_all.deb
Size: 209688
MD5sum: d2379b6cd7797e4941a07bdbd2f27d70
SHA1: aadd2c2b0f46535a9d28cba10a9181d142e35c0e
SHA256: 0d7101df4ccd42f2996afe8bb87b359287a25ba4835c9c1f41df3f4ef6e0f6a4
SHA512: 7afd780c79883948692833d6712e4ebe61842da2f1b1358cd3e5825561d4761e7602b3df2ac3cfa71811c7e8982f55314afbf2affb03e7a55d7a7f70271841d9
Homepage: https://cran.r-project.org/package=mllrnrs
Description: CRAN Package 'mllrnrs' (R6-Based ML Learners for 'mlexperiments')
 Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments>
 with additional machine learning ('ML') learners. The package provides
 R6-based learners for the following algorithms: 'glmnet'
 <https://CRAN.R-project.org/package=glmnet>, 'ranger'
 <https://CRAN.R-project.org/package=ranger>, 'xgboost'
 <https://CRAN.R-project.org/package=xgboost>, and 'lightgbm'
 <https://CRAN.R-project.org/package=lightgbm>. These can be used directly
 with the 'mlexperiments' R package.

Package: r-cran-mlma
Architecture: all
Version: 6.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-car, r-cran-abind, r-cran-coxme, r-cran-gplots, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlma_6.3-1-1.ca2004.1_all.deb
Size: 327152
MD5sum: eb0231d3aba40444260f984c6e2c3a2d
SHA1: 57788571921163d73f479a0b5ef2df7ec4286b0b
SHA256: bf18f09346d588260b6dd86b14ac6cb380c55805f715f7c01076849f0b776e2c
SHA512: 2cdfbc9cc7e5bea446da9dd122c82302747536c23c95e1cf4f576367613806656a1a36a9274215beb17ed563024eecba91d1f834ee5e6af4542cbe4b374af242
Homepage: https://cran.r-project.org/package=mlma
Description: CRAN Package 'mlma' (Multilevel Mediation Analysis)
 Do multilevel mediation analysis with generalized additive multilevel
 models. The analysis method is described in Yu and Li (2020),
 "Third-Variable Effect Analysis with Multilevel Additive Models", PLoS ONE
 15(10): e0241072.

Package: r-cran-mlmetrics
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rocr
Suggests: r-cran-e1071
Filename: pool/dists/focal/main/r-cran-mlmetrics_1.1.3-1.ca2004.1_all.deb
Size: 73032
MD5sum: 2677dc9758e8e9a46c80a6add922904d
SHA1: 929ad4e649175d9d88312329635dbb613156a61b
SHA256: 7036351524068a6a5d7b7852a55618dcf1dfcebe3b8745cc382bb8b1a7503f40
SHA512: 2523272b157586fab22b1a84d4f58d7dc2df32c053e695904e6aca3d5e9f8546286ce072c346113ca6d3aef0f9bb7ed2dbf5a9a627befa73f6b0f75719b6ffd9
Homepage: https://cran.r-project.org/package=MLmetrics
Description: CRAN Package 'MLmetrics' (Machine Learning Evaluation Metrics)
 A collection of evaluation metrics, including loss, score and utility
 functions, that measure regression, classification and ranking performance.

Package: r-cran-mlmhelpr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-rdpack, r-cran-mathjaxr
Suggests: r-cran-clubsandwich, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mlmhelpr_0.1.1-1.ca2004.1_all.deb
Size: 167428
MD5sum: d51b97b988a54ba5db4f9f55bda0426e
SHA1: 7df7b2779a367914391934489836ca4f39714637
SHA256: e3c3a5954470c9ffac44abe617197798898dacbae3cbbfe711f3792e9e5306cf
SHA512: 5b1b08303de10f5ec5068aa5b5edd3cb1627b95b2789c8e4ec687d56f54b65769537241f0d9b53779752a3149062ae7ca43b06deb03f59c14ce8eb3076d55096
Homepage: https://cran.r-project.org/package=mlmhelpr
Description: CRAN Package 'mlmhelpr' (Multilevel/Mixed Model Helper Functions)
 A collection of miscellaneous helper function for running multilevel/mixed
 models in 'lme4'. This package aims to provide functions to compute common
 tasks when estimating multilevel models such as computing the intraclass
 correlation and design effect, centering variables, estimating the
 proportion of variance explained at each level, pseudo-R squared, random
 intercept and slope reliabilities, tests for homogeneity of variance at
 level-1, and cluster robust and bootstrap standard errors. The tests and
 statistics reported in the package are from Raudenbush & Bryk (2002,
 ISBN:9780761919049), Hox et al. (2018, ISBN:9781138121362), and Snijders &
 Bosker (2012, ISBN:9781849202015).

Package: r-cran-mlmi
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-gsl, r-cran-norm, r-cran-cat, r-cran-mix, r-cran-matrix, r-cran-nlme
Suggests: r-cran-bootimpute, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlmi_1.1.2-1.ca2004.1_all.deb
Size: 100528
MD5sum: 1e629d7044a3bd28dc7a0e62d5074248
SHA1: a5537caff5d643f9be0bc034f466547a1b395ffe
SHA256: dff95abfc743eec24d66ea08b1729161fa672fe43f30efcb9971e8d95c6ad8cb
SHA512: c12048bdcc5bc9cbfaf6696caea7b44419dec3cafc01d43cfc891d4f103b254af045541cc2388a571cb5f122dc7260f98d8b001aa894e39790ddaac85495e695
Homepage: https://cran.r-project.org/package=mlmi
Description: CRAN Package 'mlmi' (Maximum Likelihood Multiple Imputation)
 Implements so called Maximum Likelihood Multiple Imputation as described by
 von Hippel and Bartlett (2021) <doi:10.1214/20-STS793>. A number of
 different imputations are available, by utilising the 'norm', 'cat' and
 'mix' packages. Inferences can be performed either using combination rules
 similar to Rubin's or using a likelihood score based approach based on
 theory by Wang and Robins (1998) <doi:10.1093/biomet/85.4.935>.

Package: r-cran-mlml2r
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 956
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-bioc-minfi, r-cran-microbenchmark, r-bioc-geoquery, r-cran-knitr, r-cran-rmarkdown, r-bioc-illuminahumanmethylation450kmanifest
Filename: pool/dists/focal/main/r-cran-mlml2r_0.3.3-1.ca2004.1_all.deb
Size: 609932
MD5sum: e27500d20d8a0c025ba69e1d2bb58d38
SHA1: 5d6153b669c2b575b182efc1ee7c95ed98eb3320
SHA256: 50f65ddd3954220a732bbdacd0003e65fa164050648c7a3aa7049305a5e9e157
SHA512: d6f4ff1355f53f4ca8bbcade090834c63511179410ad2d8c87fb4ecd8923825f60db669c16042f563c5d53e4e703268736f6394cc724d0cfb4726aa89dcf781c
Homepage: https://cran.r-project.org/package=MLML2R
Description: CRAN Package 'MLML2R' (Maximum Likelihood Estimation of DNA Methylation andHydroxymethylation Proportions)
 Maximum likelihood estimates (MLE) of the proportions of 5-mC and 5-hmC in
 the DNA using information from BS-conversion, TAB-conversion, and
 oxBS-conversion methods. One can use information from all three methods or
 any combination of two of them. Estimates are based on Binomial model by Qu
 et al. (2013) <doi:10.1093/bioinformatics/btt459> and Kiihl et al. (2019)
 <doi:10.1515/sagmb-2018-0031>.

Package: r-cran-mlmm.gwas
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 796
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlmm.gwas_1.0.6-1.ca2004.1_all.deb
Size: 732248
MD5sum: c110bf258f7c2557e044c63dc0a35851
SHA1: d1ba62428cf610a9532e8782aa2c87be20d3a64f
SHA256: 388e88a9a4a919ed7d57289def67236f948ea96f6f6e62083e087ba36228ff24
SHA512: f885c4ea2095c32187216a11fe41cf71b797ab3a7887a625c990fba350d9a4696d9e7dc36b6d69d35a165a821edc4e98d6cc8977b29ea1196d0fbcc98495eae0
Homepage: https://cran.r-project.org/package=mlmm.gwas
Description: CRAN Package 'mlmm.gwas' (Pipeline for GWAS Using MLMM)
 Pipeline for Genome-Wide Association Study using Multi-Locus Mixed Model
 from Segura V, Vilhjálmsson BJ et al. (2012) <doi:10.1038/ng.2314>. The
 pipeline include detection of associated SNPs with MLMM, model selection by
 lowest eBIC and p-value threshold, estimation of the effects of the SNPs in
 the selected model and graphical functions.

Package: r-cran-mlmoi
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3713
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openxlsx, r-cran-rdpack, r-cran-rmpfr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlmoi_0.1.2-1.ca2004.1_all.deb
Size: 2332448
MD5sum: ba2a657f5998afa9629f664ec833eb55
SHA1: 6f9c833c56e8f8a455ef8869fe3e86a4b6f1e811
SHA256: eaefd7dbd367bfd54e54d3f5c8bada590ce19d2e332d8caaee13e4efc623a47c
SHA512: b480ed74d4b81ea1b069303fb75eeb97f11f214365a7b7cd2905dcee1c4dd2b0c4eb4acd751b33d67d351573fedf3d4cd601b51d9feeacd10e8b60c720c68e67
Homepage: https://cran.r-project.org/package=MLMOI
Description: CRAN Package 'MLMOI' (Estimating Frequencies, Prevalence and Multiplicity of Infection)
 The implemented methods reach out to scientists that seek to estimate
 multiplicity of infection (MOI) and lineage (allele) frequencies and
 prevalences at molecular markers using the maximum-likelihood method
 described in Schneider (2018) <doi:10.1371/journal.pone.0194148>, and
 Schneider and Escalante (2014) <doi:10.1371/journal.pone.0097899>. Users can
 import data from Excel files in various formats, and perform
 maximum-likelihood estimation on the imported data by the package's moimle()
 function.

Package: r-cran-mlmpower
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-lme4, r-cran-lmertest, r-cran-vartestnlme
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlmpower_1.0.10-1.ca2004.1_all.deb
Size: 201432
MD5sum: f125e7c049fc2ac9b43a0d788a64ac3f
SHA1: e8f2d0a5c106abcf1a178a69a01163c6ebdad49e
SHA256: 9aaab98cd1c38d73f7572e167de422974ba9e67b4692f0802bf21f328649b414
SHA512: 27243611576fb3ac444d6c8afd8c9c5b0d8be978d02e4825b58d4d3d4c7c6bd11461c362c5e6bb304d22e30ba3d9b7e83fa43c621639036f0d902fe15a03c9aa
Homepage: https://cran.r-project.org/package=mlmpower
Description: CRAN Package 'mlmpower' (Power Analysis and Data Simulation for Multilevel Models)
 A declarative language for specifying multilevel models, solving for
 population parameters based on specified variance-explained effect size
 measures, generating data, and conducting power analyses to determine sample
 size recommendations. The specification allows for any number of
 within-cluster effects, between-cluster effects, covariate effects at either
 level, and random coefficients. Moreover, the models do not assume
 orthogonal effects, and predictors can correlate at either level and
 accommodate models with multiple interaction effects.

Package: r-cran-mlmrev
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mlmrev_1.0-8-1.ca2004.1_all.deb
Size: 1801884
MD5sum: ac57de840837564d8f9a01860f8d2dfd
SHA1: a6250595da2b22bc2c8a4bf31c71b68e4c044caf
SHA256: d03a42374eba3a6f2c2266142f27c7c65511d6603c0537eba1fa0a33f16ab95d
SHA512: 165facffc26cad7143e60ec858c27b33a08c60b0ba71bb40a32060e70314b8a8f20b089ac47d38276a7ec3c98f32ca43beea5e0fae1b92d78abb443c026d6b68
Homepage: https://cran.r-project.org/package=mlmRev
Description: CRAN Package 'mlmRev' (Examples from Multilevel Modelling Software Review)
 Data and examples from a multilevel modelling software review as well as
 other well-known data sets from the multilevel modelling literature.

Package: r-cran-mlms
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-jsonlite, r-cran-plotrix, r-cran-readxl, r-cran-sf, r-cran-stringi
Suggests: r-cran-connectapi, r-cran-covr, r-cran-dm, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-fontawesome, r-cran-htmltools, r-cran-htmlwidgets, r-cran-inldata, r-cran-knitr, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-rcmdcheck, r-cran-reactable, r-cran-renv, r-cran-rmarkdown, r-cran-roxygen2, r-cran-tinytest, r-cran-v8, r-cran-webmap
Filename: pool/dists/focal/main/r-cran-mlms_1.0.2-1.ca2004.1_all.deb
Size: 589056
MD5sum: a2a01c80042a649bd0f1ca444afcbb9c
SHA1: 2fc07a432771b4df196e37935af41bbf523ada2a
SHA256: d62945aada4c30ce1da453df2efc3761600b1db9aae63890e9e403969449f1bf
SHA512: 2e543ab8ddb0b4dec45a1a957627a12df8aaf99eff2466b6058da73b1f316ba269e9949880e8ec989785b357646898e00e8d712db02ab077e41beed83874bafb
Homepage: https://cran.r-project.org/package=mlms
Description: CRAN Package 'mlms' (Multilevel Monitoring System Data for Wells in the USGS INLAquifer Monitoring Network)
 Analysis-ready datasets detailing the Multilevel Monitoring System (MLMS)
 wells within the U.S. Geological Survey's (USGS) aquifer-monitoring network
 at the Idaho National Laboratory (INL) in Idaho, and the data collected
 within these wells. Supported by the U.S. Department of Energy (DOE), the
 USGS collected discrete measurements of hydraulic head at various depths
 from wells in the eastern Snake River Plain (ESRP) aquifer over several
 years. These measurements were derived from data on fluid pressure, fluid
 temperature, and atmospheric pressure. Each well was equipped with an MLMS,
 which included valved measurement ports, packer bladders, casing segments,
 and couplers. The MLMS facilitated monitoring at multiple hydraulically
 isolated depth intervals, reaching significant depths below the land
 surface. Additionally, groundwater samples were collected from these wells
 over multiple years and analyzed for various chemical and physical
 parameters.

Package: r-cran-mlmtools
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1021
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lme4, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mlmtools_1.0.2-1.ca2004.1_all.deb
Size: 933940
MD5sum: c3159e8bb9d748a09187b42b0b8d3d3a
SHA1: 09f35e16c406f64e2a82eb411157d5b3d57eb8a5
SHA256: d4d491000fc3e20b840b5dfdec30608e201747c1a82ffa55f8719e74c929c616
SHA512: 637eb680293efe426118ab9592cf832e52cfc15a56d05aaca9c76ef9817aa8ffe7ba9689a74d9b8b04e1bf6c7be5058329fb1c21095c5c7d8d51a50d6645d896
Homepage: https://cran.r-project.org/package=mlmtools
Description: CRAN Package 'mlmtools' (Multi-Level Model Assessment Kit)
 Multilevel models (mixed effects models) are the statistical tool of choice
 for analyzing multilevel data (Searle et al, 2009). These models account for
 the correlated nature of observations within higher level units by adding
 group-level error terms that augment the singular residual error of a
 standard OLS regression. Multilevel and mixed effects models often require
 specialized data pre-processing and further post-estimation derivations and
 graphics to gain insight into model results. The package presented here,
 'mlmtools', is a suite of pre- and post-estimation tools for multilevel
 models in 'R'. Package implements post-estimation tools designed to work
 with models estimated using 'lme4''s (Bates et al., 2014) lmer() function,
 which fits linear mixed effects regression models. Searle, S. R., Casella,
 G., & McCulloch, C. E. (2009, ISBN:978-0470009598). Bates, D., Mächler, M.,
 Bolker, B., & Walker, S. (2014) <doi:10.18637/jss.v067.i01>.

Package: r-cran-mlmts
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2740
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantspec, r-cran-waveslim, r-cran-rfast, r-cran-tsclust, r-cran-forecast, r-cran-tseries, r-cran-tsa, r-cran-tsfeatures, r-cran-tserieschaos, r-cran-freqdom, r-cran-e1071, r-cran-dtw, r-cran-psych, r-cran-complexplus, r-cran-mts, r-cran-matrix, r-cran-ggplot2, r-cran-multiwave, r-cran-mass, r-cran-fda.usc, r-cran-tsdist, r-cran-geigen, r-cran-desctools, r-cran-pracma, r-cran-pspline, r-cran-rdpack, r-cran-clusterr, r-cran-aid, r-cran-caret, r-cran-ranger, r-cran-igraph, r-cran-randomforest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlmts_1.1.2-1.ca2004.1_all.deb
Size: 2681256
MD5sum: a2cea8cbe2fe1f2e239de553fb2974e8
SHA1: c85216dd76cbb138c1e439dd5d580fa11724081a
SHA256: e8bbd2f930d71f6cfdeb87d89ade5a4f01a054f42fe74fe9bfa896d875d122f4
SHA512: 3c02f795295eba36a4c823957c25f6b67ddf244864f85b6fdb1d471b3548a3d1a1ac4ea427b9a5f7db989f2f1efd27f7174830672ac0d5493d714fb77957e790
Homepage: https://cran.r-project.org/package=mlmts
Description: CRAN Package 'mlmts' (Machine Learning Algorithms for Multivariate Time Series)
 An implementation of several machine learning algorithms for multivariate
 time series. The package includes functions allowing the execution of
 clustering, classification or outlier detection methods, among others. It
 also incorporates a collection of multivariate time series datasets which
 can be used to analyse the performance of new proposed algorithms. Some of
 these datasets are stored in GitHub data packages 'ueadata1' to 'ueadata8'.
 To access these data packages, run 'install.packages(c('ueadata1',
 'ueadata2', 'ueadata3', 'ueadata4', 'ueadata5', 'ueadata6', 'ueadata7',
 'ueadata8'), repos='<https://anloor7.github.io/drat/>')'.  The installation
 takes a couple of minutes but we strongly encourage the users to do it if
 they want to have available all datasets of mlmts.  Practitioners from a
 broad variety of fields could benefit from the general framework provided by
 'mlmts'.

Package: r-cran-mlmusingr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-nlme, r-cran-matrix, r-cran-magrittr, r-cran-broom, r-cran-generics, r-cran-dplyr, r-cran-performance, r-cran-tibble, r-cran-wemix
Filename: pool/dists/focal/main/r-cran-mlmusingr_0.4.0-1.ca2004.1_all.deb
Size: 1065072
MD5sum: 0725ec911d29c0ea5f7072e3e98b0fc2
SHA1: 8d425dc2a2ce8d306152b36418b483d61211f772
SHA256: 08122c8eb9950d177c940389c6bedd0c05fc1b81da385a684ba45024db215ce2
SHA512: d78dd729752785498409fdeb5214974d7a1b59c645abf902f0c12bdaff1b66adbb42ec56c2dd5aa6b2322a6dbade912c7b38aedefcd4a1836596dd8d9fc75266
Homepage: https://cran.r-project.org/package=MLMusingR
Description: CRAN Package 'MLMusingR' (Practical Multilevel Modeling)
 Convenience functions and datasets to be used with Practical Multilevel
 Modeling using R. The package includes functions for calculating group
 means, group mean centered variables, and displaying some basic missing data
 information. A function for computing robust standard errors for linear
 mixed models based on Liang and Zeger (1986) <doi:10.1093/biomet/73.1.13>
 and Bell and 'McCaffrey' (2002)
 <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2002002/article/9058-eng.pdf?st=NxMjN1YZ>
 is included as well as a function for checking for level-one
 homoskedasticity (Raudenbush & Bryk, 2002, ISBN:076191904X).

Package: r-cran-mlogit
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1433
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dfidx, r-cran-formula, r-cran-zoo, r-cran-lmtest, r-cran-statmod, r-cran-mass, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-car, r-cran-nnet, r-cran-lattice, r-cran-aer, r-cran-ggplot2, r-cran-texreg, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mlogit_1.1-2-1.ca2004.1_all.deb
Size: 804644
MD5sum: 6ceb71f919588ed06024474f63d67082
SHA1: f5ea70698cabcbe859bc37ebcefe888181ab9cec
SHA256: 885924ba709690325397ce56ebbabebfe684081bc0459817d85343c3b4055bd3
SHA512: 264b6a6c9b1b769201fae036165e27298f97c2fb8df9c8583ba03c16772baca1d0eeae54a2e584eaaa70c9eeee34c55d7eac76d24015f29ce0dd55c0ef9a15eb
Homepage: https://cran.r-project.org/package=mlogit
Description: CRAN Package 'mlogit' (Multinomial Logit Models)
 Maximum likelihood estimation of random utility discrete choice models. The
 software is described in Croissant (2020) <doi:10.18637/jss.v095.i11> and
 the underlying methods in Train (2009) <doi:10.1017/CBO9780511805271>.

Package: r-cran-mlpreemption
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mlpreemption_1.0.1-1.ca2004.1_all.deb
Size: 50048
MD5sum: 023c7b706cd4fcb5df530b6f4b9c11ee
SHA1: d6198761463330b90aed0b4841b80371f324bc39
SHA256: 55a3f3843e49f21ae7825b0ac63c7a235fc1cb4703f82e0cc320b6d417f3dde8
SHA512: 559ce03a12608d1c8167dbea1cd11f3f2950757c6348b9cf44007c4e50c81639e14c8e048bc41ea95d147269ec634835f124ad15c96703223ce2911bd93bccf0
Homepage: https://cran.r-project.org/package=MLpreemption
Description: CRAN Package 'MLpreemption' (Maximum Likelihood Estimation of the Niche Preemption Model)
 Provides functions for obtaining estimates of the parameter of the niche
 preemption model (also known as the geometric series), in particular a
 maximum likelihood estimator (Graffelman, 2021)
 <doi:10.1101/2021.01.27.428381>. The niche preemption model is a widely used
 model in ecology and biodiversity studies.

Package: r-cran-mlpugs
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-progress, r-cran-c50, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-mlpugs_0.2.0-1.ca2004.1_all.deb
Size: 67560
MD5sum: fc2309f957112c8b3f270a05dbfbb15a
SHA1: 125854a89d8095625b68825360e069712420606e
SHA256: 3748d47902eba80c9a1d74bd64d4f0521d970f76798e82a020203285e0ca6191
SHA512: 92b6f53f790a8294d00e1df866b8a3b438882902911c61dadb7ae212dd7c5ddb26fff5ae04536f24db7935bcc35db342908d504d05572d82e646547780ad1d6e
Homepage: https://cran.r-project.org/package=MLPUGS
Description: CRAN Package 'MLPUGS' (Multi-Label Prediction Using Gibbs Sampling (and ClassifierChains))
 An implementation of classifier chains (CC's) for multi-label prediction.
 Users can employ an external package (e.g. 'randomForest', 'C50'), or supply
 their own. The package can train a single set of CC's or train an ensemble
 of CC's -- in parallel if running in a multi-core environment. New
 observations are classified using a Gibbs sampler since each unobserved
 label is conditioned on the others. The package includes methods for
 evaluating the predictions for accuracy and aggregating across iterations
 and models to produce binary or probabilistic classifications.

Package: r-cran-mlpwr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1679
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dicekriging, r-cran-digest, r-cran-ggplot2, r-cran-randtoolbox, r-cran-rlist, r-cran-rgenoud
Suggests: r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-mirt, r-cran-pwr, r-cran-rmarkdown, r-cran-simr, r-cran-sn, r-cran-tidyr, r-cran-weightsvm
Filename: pool/dists/focal/main/r-cran-mlpwr_1.1.1-1.ca2004.1_all.deb
Size: 1190800
MD5sum: 907821b0decc08c6c036899a1562045f
SHA1: 69aaf6a3a96bd0d7c2af2e6be73f40d8fe9ccf06
SHA256: 138ab5bd4c77c3b4499c3d51e8c6f5113e1aec09c3e2e810cf8a00907750c3fe
SHA512: 942623157bd90943aa5795eb51906c60962144d54a9303b350b24bd958711f082979bdfd0897c968021972dd2cc21cd36a8dbf972f43198a07a989e83e9b5478
Homepage: https://cran.r-project.org/package=mlpwr
Description: CRAN Package 'mlpwr' (A Power Analysis Toolbox to Find Cost-Efficient Study Designs)
 We implement a surrogate modeling algorithm to guide simulation-based sample
 size planning. The method is described in detail in our paper (Zimmer &
 Debelak (2023) <doi:10.1037/met0000611>). It supports multiple study design
 parameters and optimization with respect to a cost function. It can find
 optimal designs that correspond to a desired statistical power or that
 fulfill a cost constraint. We also provide a tutorial paper (Zimmer et al.
 (2023) <doi:10.3758/s13428-023-02269-0>).

Package: r-cran-mlquantify
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-randomforest, r-cran-fnn
Suggests: r-cran-corelearn
Filename: pool/dists/focal/main/r-cran-mlquantify_0.2.0-1.ca2004.1_all.deb
Size: 173072
MD5sum: 263d194d5714dbc416f9a42203ad40ec
SHA1: 7dd4bafb04d9ef986fb04856ac7b730de56ce468
SHA256: 480b3bcf3a0aed359f679ea67e23cbd734d51043d08d327cae65d13d0b40958a
SHA512: 70c1e38c38fcc510df5b3c743552e0132e7e3b3bdb05ae342b9611cb6bfe42e143ed7318332f4f3297e17732de547972cc8b5e920215acfff9d3fb1f781f0bd3
Homepage: https://cran.r-project.org/package=mlquantify
Description: CRAN Package 'mlquantify' (Algorithms for Class Distribution Estimation)
 Quantification is a prominent machine learning task that has received an
 increasing amount of attention in the last years. The objective is to
 predict the class distribution of a data sample. This package is a
 collection of machine learning algorithms for class distribution estimation.
 This package include algorithms from different paradigms of quantification.
 These methods are described in the paper: A. Maletzke, W. Hassan, D. dos
 Reis, and G. Batista. The importance of the test set size in quantification
 assessment. In Proceedings of the Twenty-Ninth International Joint
 Conference on Artificial Intelligence, IJCAI20, pages 2640–2646, 2020.
 <doi:10.24963/ijcai.2020/366>.

Package: r-cran-mlr3
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3741
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-backports, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-evaluate, r-cran-future, r-cran-future.apply, r-cran-lgr, r-cran-mlbench, r-cran-mlr3measures, r-cran-mlr3misc, r-cran-parallelly, r-cran-palmerpenguins, r-cran-paradox, r-cran-uuid
Suggests: r-cran-matrix, r-cran-callr, r-cran-codetools, r-cran-future.callr, r-cran-mlr3data, r-cran-progressr, r-cran-remotes, r-cran-rhpcblasctl, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3_1.0.0-1.ca2004.1_all.deb
Size: 2710568
MD5sum: 0f71426a05b9357b6daad1950d0d59b9
SHA1: df498f79b5399c1292f0dbf20fd6874b840cd943
SHA256: 9c7dd90bddc02b541d305410ff5433beb8d3050662cec2876c9bfaeab5a3a9d1
SHA512: ea5a08fb08cdcac8d3eeb4eede8219752925ce757f90f53a2168212f025eecbe5ec5fb4c1d59abbc1daa809d25c72a0fe4323b9f019e00bb946822a1d36e13a2
Homepage: https://cran.r-project.org/package=mlr3
Description: CRAN Package 'mlr3' (Machine Learning in R - Next Generation)
 Efficient, object-oriented programming on the building blocks of machine
 learning. Provides 'R6' objects for tasks, learners, resamplings, and
 measures. The package is geared towards scalability and larger datasets by
 supporting parallelization and out-of-memory data-backends like databases.
 While 'mlr3' focuses on the core computational operations, add-on packages
 provide additional functionality.

Package: r-cran-mlr3batchmark
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-batchtools, r-cran-checkmate, r-cran-data.table, r-cran-lgr, r-cran-mlr3, r-cran-mlr3misc, r-cran-uuid
Suggests: r-cran-renv, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3batchmark_0.2.1-1.ca2004.1_all.deb
Size: 38348
MD5sum: 2c3deec0579fdd1357637b84a29aaef7
SHA1: 9d9c5fc78d040675394e5f6412d5802fd7a475a2
SHA256: b6d5f9de0bea497592568c8188a05891d9165eb7ab2fb521a54b44c7d4a98051
SHA512: 4c19267927b50050c1e9b51fb90a99b7f173f4e658e613c59b3d92fca74a71f96bcd80358eef93d0c971ac428575ece43d8246cb38621b68be648715da4ff553
Homepage: https://cran.r-project.org/package=mlr3batchmark
Description: CRAN Package 'mlr3batchmark' (Batch Experiments for 'mlr3')
 Extends the 'mlr3' package with a connector to the package 'batchtools'.
 This allows to run large-scale benchmark experiments on scheduled
 high-performance computing clusters.

Package: r-cran-mlr3benchmark
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-ggplot2, r-cran-mlr3misc, r-cran-r6
Suggests: r-cran-mlr3, r-cran-mlr3learners, r-cran-pmcmrplus, r-cran-rpart, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlr3benchmark_0.1.7-1.ca2004.1_all.deb
Size: 153024
MD5sum: ee7a3cfd95b49c56b1d44f510b2680d2
SHA1: 221a19b60be2227f95baa31926af82177ce81db8
SHA256: bc4b44228569905ca1a50cae79f7638294b9fb3b8e113f8d9bbe36a9ed431a6e
SHA512: 497c889a4d747589b6915e7c1ccece56e7818f98772fd3f847383a305fbac60d136803c591a7adf69dbd1b10a98ab743fe29e5c2c61841b35d1bb9b3b9b10b62
Homepage: https://cran.r-project.org/package=mlr3benchmark
Description: CRAN Package 'mlr3benchmark' (Analysis and Visualisation of Benchmark Experiments)
 Implements methods for post-hoc analysis and visualisation of benchmark
 experiments, for 'mlr3' and beyond.

Package: r-cran-mlr3cluster
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1232
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-backports, r-cran-checkmate, r-cran-clue, r-cran-cluster, r-cran-data.table, r-cran-fpc, r-cran-mlr3misc, r-cran-paradox, r-cran-r6
Suggests: r-cran-apcluster, r-cran-clusterr, r-cran-dbscan, r-cran-e1071, r-cran-kernlab, r-cran-lpcm, r-cran-mclust, r-cran-mlbench, r-cran-rweka, r-cran-stream, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3cluster_0.1.11-1.ca2004.1_all.deb
Size: 939936
MD5sum: cfc978098b5ba27286066d991b14e014
SHA1: c9501ec634429f1f611e5c5211e11dd5fd595096
SHA256: 07925c91301787bb6ea79a2a0c9faa984eb5187d5a04eb3649cf4a8c8f361796
SHA512: f5a5a47c33461c1d2c1286af0ef3ecaab392c268059a7ea8ccab574eeaf2b633907edf2dd8d888d047072d39a8ab607ea742865b53e04d916a5fc59fcab86d57
Homepage: https://cran.r-project.org/package=mlr3cluster
Description: CRAN Package 'mlr3cluster' (Cluster Extension for 'mlr3')
 Extends the 'mlr3' package with cluster analysis.

Package: r-cran-mlr3data
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3243
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mlr3
Filename: pool/dists/focal/main/r-cran-mlr3data_0.9.0-1.ca2004.1_all.deb
Size: 3282572
MD5sum: 4fa186ab13ca4efe91cbb0b0c7d38981
SHA1: 3f631c0ab76294be7aae8b119be17ae3303a7a74
SHA256: 1f2a698bfff18c3e8a0092f3f6c67c57ec6db689fc81967fa94c41a655a731cb
SHA512: 0472366d4bde4807941e09150bcf79d65b419e5641e16886368a16bed8101f793db593afe9777b02e2f083aeab88082948590407e6ba5e59413c98aa9ce5a4f6
Homepage: https://cran.r-project.org/package=mlr3data
Description: CRAN Package 'mlr3data' (Collection of Machine Learning Data Sets for 'mlr3')
 A small collection of interesting and educational machine learning data sets
 which are used as examples in the 'mlr3' book
 (<https://mlr3book.mlr-org.com>), the use case gallery
 (<https://mlr3gallery.mlr-org.com>), or in other examples. All data sets are
 properly preprocessed and ready to be analyzed by most machine learning
 algorithms.  Data sets are automatically added to the dictionary of tasks if
 'mlr3' is loaded.

Package: r-cran-mlr3db
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mlr3, r-cran-r6, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3misc
Suggests: r-cran-dbi, r-cran-rsqlite, r-cran-dbplyr, r-cran-dplyr, r-cran-duckdb, r-cran-future, r-cran-future.apply, r-cran-future.callr, r-cran-lgr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-mlr3db_0.5.2-1.ca2004.1_all.deb
Size: 503128
MD5sum: c3dfe558fb9f05498cd25027c5870f21
SHA1: f23b0ab266ccc3c240c740942a3d758d2b70e002
SHA256: 637ab3f51861416ceda75f410502c16dbe2d2386999da501caefdb5fb2d7f9c1
SHA512: 902330f7d30e18b01d150d1d5fb534ce4846a6b4cfd1ec85212a4a5387da7e58695d52af7c5cf9e8c3de75c25dcd7de2d26224556e98e47ba0d087ea7d99589a
Homepage: https://cran.r-project.org/package=mlr3db
Description: CRAN Package 'mlr3db' (Data Base Backend for 'mlr3')
 Extends the 'mlr3' package with a backend to transparently work with
 databases such as 'SQLite', 'DuckDB', 'MySQL', 'MariaDB', or 'PostgreSQL'.
 The package provides two additional backends: 'DataBackendDplyr' relies on
 the abstraction of package 'dbplyr' to interact with most DBMS.
 'DataBackendDuckDB' operates on 'DuckDB' data bases and also on Apache
 Parquet files.

Package: r-cran-mlr3fairness
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1268
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-ggplot2, r-cran-mlr3, r-cran-mlr3learners, r-cran-mlr3measures, r-cran-mlr3misc, r-cran-mlr3pipelines, r-cran-paradox, r-cran-r6, r-cran-rlang
Suggests: r-cran-cccp, r-cran-cvxr, r-cran-pagedown, r-cran-fairml, r-cran-future, r-cran-iml, r-cran-kableextra, r-cran-knitr, r-cran-linprog, r-cran-lgr, r-cran-mlr3viz, r-cran-patchwork, r-cran-ranger, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3fairness_0.4.0-1.ca2004.1_all.deb
Size: 923376
MD5sum: d3f0e9ae87b798934642b22333637893
SHA1: ecd915fe6398de26d243fb493f88f0dba4405ae4
SHA256: 720de5110e31a1bb74c9f09b559ce34245c1d8c8d1aaa8c74d45743402e95e5d
SHA512: 8dd04021d390bafd101419e946f19f55b018978302c6b0d9dd2ce4d78e723159f65711eca1869bb5d924fc1c39678ddc3ac6fdf3dbca62339abdea5a4e28fe09
Homepage: https://cran.r-project.org/package=mlr3fairness
Description: CRAN Package 'mlr3fairness' (Fairness Auditing and Debiasing for 'mlr3')
 Integrates fairness auditing and bias mitigation methods for the 'mlr3'
 ecosystem.  This includes fairness metrics, reporting tools, visualizations
 and bias mitigation techniques such as "Reweighing" described in 'Kamiran,
 Calders' (2012) <doi:10.1007/s10115-011-0463-8> and "Equalized Odds"
 described in 'Hardt et al.' (2016)
 <https://papers.nips.cc/paper/2016/file/9d2682367c3935defcb1f9e247a97c0d-Paper.pdf>.
 Integration with 'mlr3' allows for auditing of ML models as well as
 convenient joint tuning of machine learning algorithms and debiasing
 methods.

Package: r-cran-mlr3fda
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2039
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-mlr3pipelines, r-cran-checkmate, r-cran-data.table, r-cran-lgr, r-cran-mlr3misc, r-cran-paradox, r-cran-r6, r-cran-tf
Suggests: r-cran-rpart, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mlr3fda_0.2.0-1.ca2004.1_all.deb
Size: 2012956
MD5sum: 067deddb23456e5c51fd365a4bb4ccdb
SHA1: c8a8f0b6c99489906c9eb05722189e0ff6eea01b
SHA256: 77769fcb9c05ebf0e2ab39ce22af789944675458378a0dfc5338909c64a58209
SHA512: 16131b53ac20bb52b30d143c5bba025a78396649498e09a9acfc99d18abda7323d5b8507ee131368a62a95bc2f534187e705c83ca21bb2bb25e512c46ba49095
Homepage: https://cran.r-project.org/package=mlr3fda
Description: CRAN Package 'mlr3fda' (Extending 'mlr3' to Functional Data Analysis)
 Extends the 'mlr3' ecosystem to functional analysis by adding support for
 irregular and regular functional data as defined in the 'tf' package.  The
 package provides 'PipeOps' for preprocessing functional columns and for
 extracting scalar features, thereby allowing standard machine learning
 algorithms to be applied afterwards. Available operations include simple
 functional features such as the mean or maximum, smoothing, interpolation,
 flattening, and functional 'PCA'.

Package: r-cran-mlr3filters
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3, r-cran-mlr3misc, r-cran-paradox, r-cran-r6
Suggests: r-cran-boruta, r-cran-care, r-cran-caret, r-cran-carsurv, r-cran-fselectorrcpp, r-cran-knitr, r-cran-lgr, r-cran-mlr3learners, r-cran-mlr3measures, r-cran-mlr3pipelines, r-cran-praznik, r-cran-rpart, r-cran-survival, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mlr3filters_0.8.1-1.ca2004.1_all.deb
Size: 402164
MD5sum: 9ff9611f594f6ca588da9620311ba64c
SHA1: 3d4917f35cc8696a3481dc07d153386773ff15d5
SHA256: 2a2d3ec84c90c529d2b807bd9d1439e9cdc5803560ab75b964604da713bf9ba5
SHA512: 7b1410f358f8835386286806b85628c94541ce9383912ab32ed2a657829e83b60c558d57427a1338d39b95999360317c22a3c5baf26dfb1754a320124ca2bbc4
Homepage: https://cran.r-project.org/package=mlr3filters
Description: CRAN Package 'mlr3filters' (Filter Based Feature Selection for 'mlr3')
 Extends 'mlr3' with filter methods for feature selection.  Besides
 standalone filter methods built-in methods of any machine-learning algorithm
 are supported.  Partial scoring of multivariate filter methods is supported.

Package: r-cran-mlr3fselect
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 772
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-bbotk, r-cran-checkmate, r-cran-data.table, r-cran-lgr, r-cran-mlr3misc, r-cran-paradox, r-cran-r6, r-cran-stabm
Suggests: r-cran-e1071, r-cran-genalg, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-rpart, r-cran-fastvoter, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3fselect_1.3.0-1.ca2004.1_all.deb
Size: 575912
MD5sum: 45c479439d5b71909f19d11cc8286c84
SHA1: 33ec75d84ad2bd44b7c2ec7462fc95110d666277
SHA256: 351a8bb1fa6bb51e51a6070ed1ee47d31967f136c5be4a322c9199c1638d662c
SHA512: a603ef3a59110a8f1aa89e2ff2c4d8a01fdd9b2698a369aaa6a0490e14360a9a073a6dce3ff26615739a02860c42f297d13862727f94b82a70369b2685fe09e0
Homepage: https://cran.r-project.org/package=mlr3fselect
Description: CRAN Package 'mlr3fselect' (Feature Selection for 'mlr3')
 Feature selection package of the 'mlr3' ecosystem. It selects the optimal
 feature set for any 'mlr3' learner. The package works with several
 optimization algorithms e.g. Random Search, Recursive Feature Elimination,
 and Genetic Search. Moreover, it can automatically optimize learners and
 estimate the performance of optimized feature sets with nested resampling.

Package: r-cran-mlr3hyperband
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3tuning, r-cran-bbotk, r-cran-checkmate, r-cran-data.table, r-cran-lgr, r-cran-mlr3, r-cran-mlr3misc, r-cran-paradox, r-cran-r6
Suggests: r-cran-emoa, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-rpart, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlr3hyperband_0.6.0-1.ca2004.1_all.deb
Size: 143636
MD5sum: 3c81cb4e1676b998ce0bed6e209b5ef8
SHA1: e82e80d4d900f61d43c94b3a865e346e0ca5f37c
SHA256: 6151e58ceec0588f52a78e064e7f952a35f11e6570b4de0b2313db9d5d6d0329
SHA512: 531962f1092a05e04ae163af59e0ed7a7b0de8f91641e18a9424702f238ef4829548e47c1a86b35b1927a7af0bf8b8483195daec8f782469d18b3e6d31f12a5f
Homepage: https://cran.r-project.org/package=mlr3hyperband
Description: CRAN Package 'mlr3hyperband' (Hyperband for 'mlr3')
 Successive Halving (Jamieson and Talwalkar (2016)
 <doi:10.48550/arXiv.1502.07943>) and Hyperband (Li et al. 2018
 <doi:10.48550/arXiv.1603.06560>) optimization algorithm for the mlr3
 ecosystem. The implementation in mlr3hyperband features improved scheduling
 and parallelizes the evaluation of configurations. The package includes
 tuners for hyperparameter optimization in mlr3tuning and optimizers for
 black-box optimization in bbotk.

Package: r-cran-mlr3inferr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-checkmate, r-cran-data.table, r-cran-future, r-cran-lgr, r-cran-mlr3measures, r-cran-mlr3misc, r-cran-paradox, r-cran-r6, r-cran-withr
Suggests: r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3inferr_0.1.0-1.ca2004.1_all.deb
Size: 319464
MD5sum: 71caabdf62bcd80198a2ed7702c05a11
SHA1: b26ca0b07c81fbbdc9a02c7fca80e0496c6353ec
SHA256: daa3a638849abcbaa2d72946788e50da696759732585540122245afae981848c
SHA512: 50b2584542e6f1c595d0d11bc01ca0dbe50edd9bf44dfaeb7f33755343c402f15899f56e9b80c7f61c94570eb1cd7b42e255adf8c2d943e13cc1892e0a6a99d5
Homepage: https://cran.r-project.org/package=mlr3inferr
Description: CRAN Package 'mlr3inferr' (Inference on the Generalization Error)
 An 'mlr3' extension that provides various resampling-based confidence
 interval (CI) methods for estimating the generalization error.  These CI
 methods are implemented as 'mlr3' measures, enabling the evaluation of
 individual algorithms on specific tasks as well as the comparison of
 different learning algorithms.

Package: r-cran-mlr3learners
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 837
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mlr3, r-cran-checkmate, r-cran-data.table, r-cran-mlr3misc, r-cran-paradox, r-cran-r6
Suggests: r-cran-dicekriging, r-cran-e1071, r-cran-glmnet, r-cran-kknn, r-cran-knitr, r-cran-lgr, r-cran-mass, r-cran-nnet, r-cran-pracma, r-cran-ranger, r-cran-rgenoud, r-cran-rmarkdown, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlr3learners_0.12.0-1.ca2004.1_all.deb
Size: 579676
MD5sum: 78b30a111fdf8f80c183809671919c18
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SHA512: 1ca9a6e2e55914ee8d88766583f997e9a5d9afb1039af7721c5fd39ebb62bb8b3105ed52eb4ec2d0b700ccc3f2c2675cc27cc20db8729fbd5c7772bf9ffb6b1c
Homepage: https://cran.r-project.org/package=mlr3learners
Description: CRAN Package 'mlr3learners' (Recommended Learners for 'mlr3')
 Recommended Learners for 'mlr3'. Extends 'mlr3' with interfaces to essential
 machine learning packages on CRAN.  This includes, but is not limited to:
 (penalized) linear and logistic regression, linear and quadratic
 discriminant analysis, k-nearest neighbors, naive Bayes, support vector
 machines, and gradient boosting.

Package: r-cran-mlr3measures
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 364
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-mlr3misc, r-cran-prroc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3measures_1.0.0-1.ca2004.1_all.deb
Size: 305888
MD5sum: 6c0e23b8d94f579f19174346007b2e19
SHA1: 57c7d77bff70c6822e45abfd3c10dd25889df041
SHA256: 2352856e55962c3cf10220c01699add0ce256a851d6a6687f00543feb3657869
SHA512: dbb327922b9f59118094374319241492748032dd00f884e362f0abac4383a6f44e5f01ea0a4ec583184615d6668c97404c7447850f444db8ee870d69acc75eb2
Homepage: https://cran.r-project.org/package=mlr3measures
Description: CRAN Package 'mlr3measures' (Performance Measures for 'mlr3')
 Implements multiple performance measures for supervised learning.  Includes
 over 40 measures for regression and classification. Additionally, meta
 information about the performance measures can be queried, e.g. what the
 best and worst possible performances scores are.

Package: r-cran-mlr3pipelines
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3180
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-digest, r-cran-lgr, r-cran-mlr3, r-cran-mlr3misc, r-cran-paradox, r-cran-r6, r-cran-withr
Suggests: r-cran-ggplot2, r-cran-glmnet, r-cran-igraph, r-cran-knitr, r-cran-lme4, r-cran-mlbench, r-cran-bbotk, r-cran-mlr3filters, r-cran-mlr3learners, r-cran-mlr3measures, r-cran-nloptr, r-cran-quanteda, r-cran-rmarkdown, r-cran-rpart, r-cran-stopwords, r-cran-testthat, r-cran-visnetwork, r-cran-bestnormalize, r-cran-fastica, r-cran-kernlab, r-cran-smotefamily, r-cran-evaluate, r-cran-nmf, r-cran-mass, r-cran-gensa, r-cran-vtreat, r-cran-future, r-cran-htmlwidgets, r-cran-ranger, r-cran-themis
Filename: pool/dists/focal/main/r-cran-mlr3pipelines_0.8.0-1.ca2004.1_all.deb
Size: 1980320
MD5sum: d01e23af8899d18656937dd940040201
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Homepage: https://cran.r-project.org/package=mlr3pipelines
Description: CRAN Package 'mlr3pipelines' (Preprocessing Operators and Pipelines for 'mlr3')
 Dataflow programming toolkit that enriches 'mlr3' with a diverse set of
 pipelining operators ('PipeOps') that can be composed into graphs.
 Operations exist for data preprocessing, model fitting, and ensemble
 learning. Graphs can themselves be treated as 'mlr3' 'Learners' and can
 therefore be resampled, benchmarked, and tuned.

Package: r-cran-mlr3resampling
Architecture: all
Version: 2025.6.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1006
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-r6, r-cran-checkmate, r-cran-paradox, r-cran-mlr3, r-cran-mlr3misc, r-cran-batchtools, r-cran-filelock
Suggests: r-cran-ggplot2, r-cran-animint2, r-cran-mlr3tuning, r-cran-lgr, r-cran-future, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-nc, r-cran-rpart, r-cran-directlabels, r-cran-mlr3torch, r-cran-torch
Filename: pool/dists/focal/main/r-cran-mlr3resampling_2025.6.23-1.ca2004.1_all.deb
Size: 603380
MD5sum: 411750dc8d16569d4a5e10e9f3d8eb3b
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SHA256: cde99e03538055fb9802af824844c1a03d54dd2325677e71f48b7e3ea054c640
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Homepage: https://cran.r-project.org/package=mlr3resampling
Description: CRAN Package 'mlr3resampling' (Resampling Algorithms for 'mlr3' Framework)
 A supervised learning algorithm inputs a train set, and outputs a prediction
 function, which can be used on a test set.  If each data point belongs to a
 subset (such as geographic region, year, etc), then how do we know if
 subsets are similar enough so that we can get accurate predictions on one
 subset, after training on Other subsets?  And how do we know if training on
 All subsets would improve prediction accuracy, relative to training on the
 Same subset?  SOAK, Same/Other/All K-fold cross-validation,
 <doi:10.48550/arXiv.2410.08643> can be used to answer these questions, by
 fixing a test subset, training models on Same/Other/All subsets, and then
 comparing test error rates (Same versus Other and Same versus All).  Also
 provides code for estimating how many train samples are required to get
 accurate predictions on a test set.

Package: r-cran-mlr3shiny
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-mlr3measures, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-mlr3viz, r-cran-metrics, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinyalert, r-cran-data.table, r-cran-dt, r-cran-stringr, r-cran-plyr, r-cran-dplyr, r-cran-purrr, r-cran-patchwork, r-cran-ggparty, r-cran-ggally
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-devtools, r-cran-ranger, r-cran-e1071, r-cran-xgboost, r-cran-igraph, r-cran-readxl, r-cran-dalex, r-cran-dalextra, r-cran-bslib, r-cran-haven
Filename: pool/dists/focal/main/r-cran-mlr3shiny_0.5.0-1.ca2004.1_all.deb
Size: 141652
MD5sum: 79daf1ac496624139574cd6de021619b
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Homepage: https://cran.r-project.org/package=mlr3shiny
Description: CRAN Package 'mlr3shiny' (Machine Learning in 'shiny' with 'mlr3')
 A web-based graphical user interface to provide the basic steps of a machine
 learning workflow. It uses the functionalities of the 'mlr3' framework.

Package: r-cran-mlr3spatial
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Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2139
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mlr3, r-cran-checkmate, r-cran-data.table, r-cran-lgr, r-cran-mlr3misc, r-cran-r6, r-cran-sf, r-cran-terra
Suggests: r-cran-bench, r-cran-future, r-cran-future.callr, r-cran-knitr, r-cran-mlr3learners, r-cran-paradox, r-cran-ranger, r-cran-raster, r-cran-rmarkdown, r-cran-rpart, r-cran-stars, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3spatial_0.5.0-1.ca2004.1_all.deb
Size: 1903000
MD5sum: af06060dc00ba8f60e6ec76ee5e12255
SHA1: 3b54d6e9121b81a0985c6581876d477faa7b3b82
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Homepage: https://cran.r-project.org/package=mlr3spatial
Description: CRAN Package 'mlr3spatial' (Support for Spatial Objects Within the 'mlr3' Ecosystem)
 Extends the 'mlr3' ML framework with methods for spatial objects. Data
 storage and prediction are supported for packages 'terra', 'raster' and
 'stars'.

Package: r-cran-mlr3spatiotempcv
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Suggests: r-cran-bbotk, r-cran-blockcv, r-cran-caret, r-cran-cast, r-cran-ggsci, r-cran-ggtext, r-cran-here, r-cran-knitr, r-cran-lgr, r-cran-mlr3filters, r-cran-mlr3pipelines, r-cran-mlr3spatial, r-cran-mlr3tuning, r-cran-patchwork, r-cran-plotly, r-cran-rmarkdown, r-cran-rpart, r-cran-sf, r-cran-sperrorest, r-cran-terra, r-cran-testthat, r-cran-twosamples, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mlr3spatiotempcv_2.3.2-1.ca2004.1_all.deb
Size: 2418808
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Homepage: https://cran.r-project.org/package=mlr3spatiotempcv
Description: CRAN Package 'mlr3spatiotempcv' (Spatiotemporal Resampling Methods for 'mlr3')
 Extends the mlr3 machine learning framework with spatio-temporal resampling
 methods to account for the presence of spatiotemporal autocorrelation (STAC)
 in predictor variables. STAC may cause highly biased performance estimates
 in cross-validation if ignored. A JSS article is available at
 <doi:10.18637/jss.v111.i07>.

Package: r-cran-mlr3summary
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Priority: optional
Section: gnu-r
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Installed-Size: 281
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3, r-cran-mlr3misc, r-cran-cli, r-cran-future.apply
Suggests: r-cran-testthat, r-cran-iml, r-cran-mlr3pipelines, r-cran-mlr3fairness, r-cran-mlr3learners, r-cran-fastshap, r-cran-ranger, r-cran-rpart
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Homepage: https://cran.r-project.org/package=mlr3summary
Description: CRAN Package 'mlr3summary' (Model and Learner Summaries for 'mlr3')
 Concise and interpretable summaries for machine learning models and learners
 of the 'mlr3' ecosystem.  The package takes inspiration from the summary
 function for (generalized) linear models but extends it to non-parametric
 machine learning models, based on generalization performance, model
 complexity, feature importances and effects, and fairness metrics.

Package: r-cran-mlr3superlearner
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3learners, r-cran-checkmate, r-cran-lgr, r-cran-mlr3, r-cran-data.table, r-cran-purrr, r-cran-cli, r-cran-glmnet
Suggests: r-cran-ranger, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlr3superlearner_0.1.2-1.ca2004.1_all.deb
Size: 36364
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Homepage: https://cran.r-project.org/package=mlr3superlearner
Description: CRAN Package 'mlr3superlearner' (Super Learner Fitting and Prediction)
 An implementation of the Super Learner prediction algorithm from van der
 Laan, Polley, and Hubbard (2007) <doi:10.2202/1544-6115.1309 using the
 'mlr3' framework.

Package: r-cran-mlr3torch
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Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
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Suggests: r-cran-callr, r-cran-curl, r-cran-future, r-cran-ggplot2, r-cran-igraph, r-cran-jsonlite, r-cran-knitr, r-cran-mlr3tuning, r-cran-progress, r-cran-rmarkdown, r-cran-rpart, r-cran-viridis, r-cran-visnetwork, r-cran-testthat, r-cran-tfevents, r-cran-torchvision, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-mlr3torch_0.2.1-1.ca2004.1_all.deb
Size: 2403940
MD5sum: a044a9557ed8992889a7911b3edec0a4
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Homepage: https://cran.r-project.org/package=mlr3torch
Description: CRAN Package 'mlr3torch' (Deep Learning with 'mlr3')
 Deep Learning library that extends the mlr3 framework by building upon the
 'torch' package. It allows to conveniently build, train, and evaluate deep
 learning models without having to worry about low level details. Custom
 architectures can be created using the graph language defined in
 'mlr3pipelines'.

Package: r-cran-mlr3tuning
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1170
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mlr3, r-cran-paradox, r-cran-bbotk, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-lgr, r-cran-mlr3misc, r-cran-r6
Suggests: r-cran-adagio, r-cran-future, r-cran-gensa, r-cran-irace, r-cran-knitr, r-cran-mirai, r-cran-mlflow, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-nloptr, r-cran-rush, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlr3tuning_1.4.0-1.ca2004.1_all.deb
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Homepage: https://cran.r-project.org/package=mlr3tuning
Description: CRAN Package 'mlr3tuning' (Hyperparameter Optimization for 'mlr3')
 Hyperparameter optimization package of the 'mlr3' ecosystem.  It features
 highly configurable search spaces via the 'paradox' package and finds
 optimal hyperparameter configurations for any 'mlr3' learner.  'mlr3tuning'
 works with several optimization algorithms e.g.  Random Search, Iterated
 Racing, Bayesian Optimization (in 'mlr3mbo') and Hyperband (in
 'mlr3hyperband'). Moreover, it can automatically optimize learners and
 estimate the performance of optimized models with nested resampling.

Package: r-cran-mlr3tuningspaces
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mlr3tuning, r-cran-cli, r-cran-checkmate, r-cran-data.table, r-cran-mlr3, r-cran-mlr3misc, r-cran-paradox, r-cran-r6
Suggests: r-cran-e1071, r-cran-bbotk, r-cran-glmnet, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-ranger, r-cran-rpart, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlr3tuningspaces_0.6.0-1.ca2004.1_all.deb
Size: 352192
MD5sum: 9ba04c9646dbccdc6a00e4592341fa13
SHA1: f2a7257938e0139a97e2643c5a0c9227dfb0309e
SHA256: f5e47ed25d9bc05c70cfcdbb4c6ade6dc2e649a371ed4f02d5484bd3cfbcf096
SHA512: 2fae499fa097479424ca320126f737f875db95469dabf0538c68626a79b30d551c70563f2f82cd035901b31d10486b940bb8a3110b51da3e58b4eb605096cf8d
Homepage: https://cran.r-project.org/package=mlr3tuningspaces
Description: CRAN Package 'mlr3tuningspaces' (Search Spaces for 'mlr3')
 Collection of search spaces for hyperparameter optimization in the 'mlr3'
 ecosystem. It features ready-to-use search spaces for many popular machine
 learning algorithms. The search spaces are from scientific articles and work
 for a wide range of data sets.

Package: r-cran-mlr3verse
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-bbotk, r-cran-data.table, r-cran-mlr3cluster, r-cran-mlr3data, r-cran-mlr3filters, r-cran-mlr3fselect, r-cran-mlr3hyperband, r-cran-mlr3inferr, r-cran-mlr3learners, r-cran-mlr3mbo, r-cran-mlr3misc, r-cran-mlr3pipelines, r-cran-mlr3tuning, r-cran-mlr3tuningspaces, r-cran-mlr3viz, r-cran-paradox
Suggests: r-cran-miesmuschel, r-cran-mlr3batchmark, r-cran-mlr3benchmark, r-cran-mlr3db, r-cran-mlr3fairness, r-cran-mlr3fda, r-cran-mlr3oml, r-cran-mlr3spatial, r-cran-mlr3spatiotempcv, r-cran-mlr3summary, r-cran-mlr3torch, r-cran-rush
Filename: pool/dists/focal/main/r-cran-mlr3verse_0.3.1-1.ca2004.1_all.deb
Size: 29964
MD5sum: cb7f03e7e6e77d59f3b63e184926ded2
SHA1: 675b0125c5554d419d8276caa8a8eaf7ac3f36f2
SHA256: d2133114ca1369823ea8b2b10e8a2cbf2b24ed93f72d5f9e57eb988e604e6930
SHA512: e5b542ca5a9d70efa2cb62531bcb914362a00db732e5252758e11611f8baa180955bc2a425deb336ab3d721a0e84584bd0cfc3791b12c2d28790e816969fd28a
Homepage: https://cran.r-project.org/package=mlr3verse
Description: CRAN Package 'mlr3verse' (Easily Install and Load the 'mlr3' Package Family)
 The 'mlr3' package family is a set of packages for machine-learning purposes
 built in a modular fashion. This wrapper package is aimed to simplify the
 installation and loading of the core 'mlr3' packages. Get more information
 about the 'mlr3' project at <https://mlr3book.mlr-org.com/>.

Package: r-cran-mlr3viz
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-ggplot2, r-cran-mlr3misc, r-cran-scales, r-cran-viridis
Suggests: r-cran-bbotk, r-cran-cluster, r-cran-ggally, r-cran-ggdendro, r-cran-ggfortify, r-cran-ggparty, r-cran-glmnet, r-cran-knitr, r-cran-lgr, r-cran-mlr3, r-cran-mlr3cluster, r-cran-mlr3filters, r-cran-mlr3fselect, r-cran-mlr3inferr, r-cran-mlr3learners, r-cran-mlr3tuning, r-cran-paradox, r-cran-partykit, r-cran-patchwork, r-cran-precrec, r-cran-ranger, r-cran-rpart, r-cran-testthat, r-cran-vdiffr, r-cran-xgboost, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-mlr3viz_0.10.1-1.ca2004.1_all.deb
Size: 301572
MD5sum: 01edc3ddf73fa67519262ea48d39c3c2
SHA1: 9d25ff2bd20c3c2a463825b8772c26be484af9a9
SHA256: 4e0e5bf07bcbac84e84502ec24255fec0461cb75a237e05eb34fee4aaaee7f30
SHA512: ddd1fecee0125f60d96991814a5515d0e3364ed390b9f97ad8e56475448e793a7469e68296130d6f960aa88b9fdd81c333ca6679d77ef565ef4046aef1abfec1
Homepage: https://cran.r-project.org/package=mlr3viz
Description: CRAN Package 'mlr3viz' (Visualizations for 'mlr3')
 Visualization package of the 'mlr3' ecosystem. It features plots for mlr3
 objects such as tasks, learners, predictions, benchmark results, tuning
 instances and filters via the 'autoplot()' generic of 'ggplot2'.  The
 package draws plots with the 'viridis' color palette and applies the minimal
 theme. Visualizations include barplots, boxplots, histograms, ROC curves,
 and Precision-Recall curves.

Package: r-cran-mlrcpo
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3382
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-paramhelpers, r-cran-mlr, r-cran-bbmisc, r-cran-stringi, r-cran-checkmate, r-cran-backports
Suggests: r-cran-care, r-cran-party, r-cran-rpart, r-cran-mlbench, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mrmre, r-cran-digest, r-cran-praznik, r-cran-randomforestsrc, r-cran-randomforest, r-cran-ranger, r-cran-rfast, r-cran-fselector, r-cran-fselectorrcpp, r-cran-e1071, r-cran-fnn, r-cran-lintr, r-cran-hmisc, r-cran-fastica, r-cran-rex
Filename: pool/dists/focal/main/r-cran-mlrcpo_0.3.8-1.ca2004.1_all.deb
Size: 1908908
MD5sum: 75005e812acb08a0dba4d03f34ff23c9
SHA1: a160602e34024b85955f5a3e6d0a151f33deaad4
SHA256: 611a50c68d1258df870d06321cb0b603950222e244abefbc9c921b7ac4b64697
SHA512: c682457780d95a43389b6990054f12d55969540ec05cfaf790579c629029aef8e9d9b2bbf51797e4e7fe038f526332ea45031e08ac7f1242faea0dc66acf2ef7
Homepage: https://cran.r-project.org/package=mlrCPO
Description: CRAN Package 'mlrCPO' (Composable Preprocessing Operators and Pipelines for MachineLearning)
 Toolset that enriches 'mlr' with a diverse set of preprocessing operators.
 Composable Preprocessing Operators ("CPO"s) are first-class R objects that
 can be applied to data.frames and 'mlr' "Task"s to modify data, can be
 attached to 'mlr' "Learner"s to add preprocessing to machine learning
 algorithms, and can be composed to form preprocessing pipelines.

Package: r-cran-mlrintermbo
Architecture: all
Version: 0.5.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3misc, r-cran-paradox, r-cran-r6, r-cran-lhs, r-cran-callr, r-cran-bbotk, r-cran-mlr3tuning
Suggests: r-cran-mlr, r-cran-paramhelpers, r-cran-testthat, r-cran-rgenoud, r-cran-dicekriging, r-cran-emoa, r-cran-cmaesr, r-cran-randomforest, r-cran-smoof, r-cran-lgr, r-cran-mlr3, r-cran-mlr3learners, r-cran-mlr3pipelines, r-cran-mlrmbo, r-cran-ranger, r-cran-rpart, r-cran-mco
Filename: pool/dists/focal/main/r-cran-mlrintermbo_0.5.1-1-1.ca2004.1_all.deb
Size: 151204
MD5sum: c6164fca01b4d88f6b6986a33ffd9d51
SHA1: c6a9daadcaa5c737d783ec56682f6148fd599861
SHA256: 96849cf00a1fb1fe706781b392a819faf27a05c6a66c963599edd0501b390981
SHA512: 8322b010315b939910038f1c7e95ebb6c9f30bcea28561e3496aab79eb5fa9b547cb49f814f87ba6f18a33f8d94ab839df54cea182831bfb94682b04e6bc1dd8
Homepage: https://cran.r-project.org/package=mlrintermbo
Description: CRAN Package 'mlrintermbo' (Model-Based Optimization for 'mlr3' Through 'mlrMBO')
 The 'mlrMBO' package can ordinarily not be used for optimization within
 'mlr3', because of incompatibilities of their respective class systems.
 'mlrintermbo' offers a compatibility interface that provides 'mlrMBO' as an
 'mlr3tuning' 'Tuner' object, for tuning of machine learning algorithms
 within 'mlr3', as well as a 'bbotk' 'Optimizer' object for optimization of
 general objective functions using the 'bbotk' black box optimization
 framework. The control parameters of 'mlrMBO' are faithfully reproduced as a
 'paradox' 'ParamSet'.

Package: r-cran-mlrpro
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlrpro_0.1.2-1.ca2004.1_all.deb
Size: 31448
MD5sum: ff4998e20cec8fe15885f64979cbde18
SHA1: 00261f7d706f6829537662a835368fa1452d5dfd
SHA256: efca2c933d35b43737f63f75117eb6cf84ca43957debb6c81fa220aa3eb2b7bb
SHA512: 3e7648d586fa4884008c8d6fff1840459d7b8f666e981ca536bcf530c319f5fadd1f92ca5dc9396b6c3a8fe9b3982bb46f09d942d0b899abc3363096b14b0c6d
Homepage: https://cran.r-project.org/package=mlrpro
Description: CRAN Package 'mlrpro' (Stepwise Regression with Assumptions Checking)
 The stepwise regression with assumptions checking and the possible Box-Cox
 transformation.

Package: r-cran-mlsjunkgen
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mlsjunkgen_0.1.2-1.ca2004.1_all.deb
Size: 81036
MD5sum: 0f60d88bf780cce7e9608b88bfc49345
SHA1: 62fea21baa4001d6470812a36c121aef5655a31d
SHA256: c55539f5a23abf715786f068dfc53658462b8577f4572263d29efbc902bfc607
SHA512: 1844445e5e60649ccd65fb7d633226dfb4dcb77b4b6ea659f6ec8971c032239ab1cfe4128219909a85aeba12a513d599a4512e5b1a1b653db48737b68c74f94b
Homepage: https://cran.r-project.org/package=mlsjunkgen
Description: CRAN Package 'mlsjunkgen' (Use the MLS Junk Generator Algorithm to Generate a Stream ofPseudo-Random Numbers)
 Generate a stream of pseudo-random numbers generated using the MLS Junk
 Generator algorithm. Functions exist to generate single pseudo-random
 numbers as well as a vector, data frame, or matrix of pseudo-random numbers.

Package: r-cran-mlstropalr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-stringr, r-cran-opalr, r-cran-fabr, r-cran-madshapr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mlstropalr_1.0.3-1.ca2004.1_all.deb
Size: 70328
MD5sum: e8f105951ca12988f16edccda3b3d049
SHA1: 6d8af38d4743fe0db60a7b4af5574db09e94f306
SHA256: b7305d8f49e078d71f344e31814bf503ab34a8743d22aecbc3d470c3d1c36859
SHA512: ac1fe8343c5fcb4ae18e473b8510b0b024328357aa6572227205f357e140cf484a50cf1dbef24cd0905684a9d50c9de7165ed5c6ffb16d0db64f79b616e75815
Homepage: https://cran.r-project.org/package=mlstrOpalr
Description: CRAN Package 'mlstrOpalr' (Support Compatibility Between 'Maelstrom' R Packages and 'Opal'Environment)
 Functions to support compatibility between 'Maelstrom' R packages and 'Opal'
 environment. 'Opal' is the 'OBiBa' core database application for biobanks.
 It is used to build data repositories that integrates data collected from
 multiple sources. 'Opal Maelstrom' is a specific implementation of this
 software. This 'Opal' client is specifically designed to interact with 'Opal
 Maelstrom' distributions to perform operations on the R server side. The
 user must have adequate credentials.  Please see
 <https://opaldoc.obiba.org/> for complete documentation.

Package: r-cran-mlsurvlrnrs
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 799
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-kdry, r-cran-mlexperiments, r-cran-mllrnrs, r-cran-r6
Suggests: r-cran-glmnet, r-cran-lintr, r-cran-mlr3measures, r-cran-parbayesianoptimization, r-cran-quarto, r-cran-ranger, r-cran-rpart, r-cran-splittools, r-cran-survival, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-mlsurvlrnrs_0.0.5-1.ca2004.1_all.deb
Size: 241692
MD5sum: cbd25c65f773572e2ac327e60b3b5ddb
SHA1: 6a267727cce4da37a3b8511276a73f3119b1a55c
SHA256: 978bba29fdd708762cefaa9eeb3986d2db416c2fd3854f669d019f4a737fdd2b
SHA512: d0b279a9096e60b65ac2280d280e1225d326da4774dd5ad5b58c4fabc2e1b4c79d6d1295f59d925f145e4370ef4c675030bd6b679a2ac78d1d5555bed527b673
Homepage: https://cran.r-project.org/package=mlsurvlrnrs
Description: CRAN Package 'mlsurvlrnrs' (R6-Based ML Survival Learners for 'mlexperiments')
 Enhances 'mlexperiments' <https://CRAN.R-project.org/package=mlexperiments>
 with additional machine learning ('ML') learners for survival analysis. The
 package provides R6-based survival learners for the following algorithms:
 'glmnet' <https://CRAN.R-project.org/package=glmnet>, 'ranger'
 <https://CRAN.R-project.org/package=ranger>, 'xgboost'
 <https://CRAN.R-project.org/package=xgboost>, and 'rpart'
 <https://CRAN.R-project.org/package=rpart>. These can be used directly with
 the 'mlexperiments' R package.

Package: r-cran-mlt.docreg
Architecture: all
Version: 1.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 845
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlt, r-cran-numderiv, r-cran-eha, r-cran-multcomp, r-cran-lattice, r-cran-survival, r-cran-flexsurv, r-cran-truncreg
Suggests: r-cran-variables, r-cran-basefun, r-cran-mass, r-cran-th.data, r-cran-knitr, r-cran-prodlim, r-cran-gridextra, r-cran-nnet, r-cran-mgcv, r-cran-hsaur3, r-cran-sandwich, r-cran-latticeextra, r-cran-colorspace, r-cran-matrix, r-cran-aer, r-cran-coin, r-cran-gamlss.data, r-cran-mlbench, r-cran-tram, r-cran-rms
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Size: 658244
MD5sum: ef7f66321fbef008428d1ed857aa4b4d
SHA1: 46577be51f3ea3b325f244dc3365f10038760565
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SHA512: 8f6c9b4c40eea86e61eaf9da14f60d1e271efbec496699b17110736acd1ee5352375a8042fce4003768ab7b13b8b05573a9ab89743f5f0abedd0fde380250711
Homepage: https://cran.r-project.org/package=mlt.docreg
Description: CRAN Package 'mlt.docreg' (Most Likely Transformations: Documentation and Regression Tests)
 Additional documentation, a package vignette and regression tests for
 package mlt.

Package: r-cran-mltest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mltest_1.0.3-1.ca2004.1_all.deb
Size: 19920
MD5sum: 11b11f33fa795fae8cef9de73b0b7af3
SHA1: ab1eb5f334731313f64ff2ef0046b25eed7beca1
SHA256: 39a0ddd595d3ed1a76580a9394ea3e19fd01581759c09f0e750a9a0543f2606d
SHA512: 8624f1f5a4262b07767d06cfe97d81879e49e1f4e999fa89121940b0db4b495964273abd3cc76547df9b7298ec719a9316aaa7db14a8f1ab9a6d1d25522a0a36
Homepage: https://cran.r-project.org/package=mltest
Description: CRAN Package 'mltest' (Classification Evaluation Metrics)
 A fast, robust and easy-to-use calculation of multi-class classification
 evaluation metrics based on confusion matrix.

Package: r-cran-mltools
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mltools_0.3.5-1.ca2004.1_all.deb
Size: 108376
MD5sum: d0a8817b846d7c594112eeaa8209cd35
SHA1: b63db024ef9f6a658688b762126c3a99ce6c5dea
SHA256: db483d90c82a2fc4677a85398350a6d40ebdc56c9d298a3a5ddc1ff1199892ff
SHA512: 3534c84fbba96e232a1961cddaee9089ed77b34c617524ec87a07f9118ab0e309383487301f27fcbccf811443559096367d112d8fd16a4de263aef3c7c2e839d
Homepage: https://cran.r-project.org/package=mltools
Description: CRAN Package 'mltools' (Machine Learning Tools)
 A collection of machine learning helper functions, particularly assisting in
 the Exploratory Data Analysis phase. Makes heavy use of the 'data.table'
 package for optimal speed and memory efficiency. Highlights include a
 versatile bin_data() function, sparsify() for converting a data.table to
 sparse matrix format with one-hot encoding, fast evaluation metrics, and
 empirical_cdf() for calculating empirical Multivariate Cumulative
 Distribution Functions.

Package: r-cran-mlvar
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-arm, r-cran-qgraph, r-cran-dplyr, r-cran-clustergeneration, r-cran-mvtnorm, r-cran-corpcor, r-cran-plyr, r-cran-abind, r-cran-mplusautomation, r-cran-graphicalvar, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-mlvar_0.5.2-1.ca2004.1_all.deb
Size: 232808
MD5sum: 328c4105d6368a8228e9f49c15420974
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SHA256: ab5a229d8dcd1b814c8781dfee0b768ad5b79c40f55761fc2eacdcfb2a3601f8
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Homepage: https://cran.r-project.org/package=mlVAR
Description: CRAN Package 'mlVAR' (Multi-Level Vector Autoregression)
 Estimates the multi-level vector autoregression model on time-series data.
 Three network structures are obtained: temporal networks, contemporaneous
 networks and between-subjects networks.

Package: r-cran-mlvsbm
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 607
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-blockmodels, r-cran-ape, r-cran-magrittr, r-cran-cluster
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggforce, r-cran-spelling, r-cran-cowplot, r-cran-reshape2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-mlvsbm_0.2.4-1.ca2004.1_all.deb
Size: 504288
MD5sum: 04c6da0f515a317ee8d16b27cfd55eca
SHA1: d4b20a835f149167283f5366b04bb3bc6d06239f
SHA256: 085aa44c545d848721d84bc94cbbfe48de44508da12448dfd07e041a9a699c00
SHA512: 6439af0d6c31dd1847ba38f4df5260fd54acda04c2900e40c7d934dd4b221063f09d589c7b17197683e3fc416520579d7a0386dd7d256c5734fed9923514d61c
Homepage: https://cran.r-project.org/package=MLVSBM
Description: CRAN Package 'MLVSBM' (A Stochastic Block Model for Multilevel Networks)
 Simulation, inference and clustering of multilevel networks using a
 Stochastic Block Model framework as described in Chabert-Liddell, Barbillon,
 Donnet and Lazega (2021) <doi:10.1016/j.csda.2021.107179>.  A multilevel
 network is defined as the junction of two interaction networks, the upper
 level or inter-organizational level and the lower level or inter-individual
 level. The inter-level represents an affiliation relationship.

Package: r-cran-mlxr
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 636
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-xml, r-cran-rcpp, r-cran-reshape2, r-cran-gridextra, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-mlxr_4.2.0-1.ca2004.1_all.deb
Size: 614688
MD5sum: 533addcda7ecf5329970bd0a6557fe41
SHA1: 8dfe42f7a4e4e2c77952221db67fb06b8a71c5e5
SHA256: 0ff3b9cc2cbb0ad2fb726baa8c457a9ebf5b6a31d44ba48914d68ff7f55b8925
SHA512: 85ab9559ca5d6e7b3e97853a51120f7bcdbaa2ecea3678eb26833a7456009790549a602afd9019b022b102a9dc3197497993e02211639bed2e6e293d83fb2c8c
Homepage: https://cran.r-project.org/package=mlxR
Description: CRAN Package 'mlxR' (Simulation of Longitudinal Data)
 Simulation and visualization of complex models for longitudinal data. The
 models are encoded using the model coding language 'Mlxtran' and
 automatically converted into C++ codes.  That allows one to implement very
 easily complex ODE-based models and complex statistical models, including
 mixed effects models, for continuous, count, categorical, and time-to-event
 data.

Package: r-cran-mm2s
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4010
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-gsva, r-cran-kknn, r-cran-lattice, r-cran-pheatmap
Suggests: r-cran-knitr, r-cran-mm2sdata
Filename: pool/dists/focal/main/r-cran-mm2s_1.0.6-1.ca2004.1_all.deb
Size: 3670360
MD5sum: 6a2a1c78997cc105b96e507ddfd43658
SHA1: 5192eb3473e806f95098ba61475fa7e7f8ac84be
SHA256: 2fcaaa67341ba09fcd1d9dae05a7442c144d443577aa9b75dd865690513ee3b6
SHA512: 57723ec2d15446be77519a5b5222c27c45b2855df50000b5f4a780ff097b6e697c140147fa1f7a6d2e47ff75462f19c6a0ab251d6d29d71cabb374a17604a43e
Homepage: https://cran.r-project.org/package=MM2S
Description: CRAN Package 'MM2S' (Single-Sample Classifier of Medulloblastoma Subtypes forMedulloblastoma Patient Samples, Mouse Models, and Cell Lines)
 A single-sample classifier that generates Medulloblastoma (MB) subtype
 predictions for single-samples of human Medulloblastoma (MB) patients and
 model systems, including cell lines and mouse-models. The MM2S algorithm
 uses a systems-based methodology that facilitates application of the
 algorithm on samples irrespective of their platform or source of origin.
 MM2S demonstrates > 96% accuracy for patients of well-characterized normal
 cerebellum, Wingless (WNT), or Sonic hedgehog (SHH) subtypes, and the
 less-characterized Group4 (86%) and Group3 (78.2%). MM2S also enables
 classification of MB cell lines and mouse models into their human
 counterparts.This package contains function for implementing the classifier
 onto human data and mouse data, as well as graphical rendering of the
 results as PCA (Principal Component Analysis) plots and heatmaps. Deena
 Gendoo and Benjamin Haibe-Kains (2016) <doi:10.1186/s13029-016-0053-y>.

Package: r-cran-mm2sdata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4821
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mm2sdata_1.0.3-1.ca2004.1_all.deb
Size: 4897824
MD5sum: 553ab7453b6d31119bb68284b79b2248
SHA1: 7e85bc724afa6a0f4f8566a292d67de303e52207
SHA256: ca09821c8bfa1e39c655926075a1709107f429db5e4b4fdd046ce14c84d0d261
SHA512: d1761d4a8ef66f94472f27361c3960bded99e12804546562f558970e8b6e684e39ea10bc6f4274d18b179e5d68aa5289b725bc4f5ef92c3608aaa675f3520024
Homepage: https://cran.r-project.org/package=MM2Sdata
Description: CRAN Package 'MM2Sdata' (Gene Expression Datasets for the 'MM2S' Package)
 Gene Expression datasets for the 'MM2S' package. Contains normalized
 expression data for Human Medulloblastoma ('GSE37418') as well as Mouse
 Medulloblastoma models ('GSE36594'). Deena Gendoo et al. (2015)
 <doi:10.1016/j.ygeno.2015.05.002>.

Package: r-cran-mm
Architecture: all
Version: 1.6-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magic, r-cran-abind, r-cran-quadform, r-cran-mathjaxr, r-cran-partitions, r-cran-oarray
Filename: pool/dists/focal/main/r-cran-mm_1.6-8-1.ca2004.1_all.deb
Size: 461768
MD5sum: 6e554c5ed39de58312b23ec31f16b0e2
SHA1: acf357bf301336814caa0cb603c54844541e948d
SHA256: 5e1198d0c12b768c10f23a28d82f96ba58c3e5a79fa80d0e2e142d2a2a6032d6
SHA512: 663bbdd99a0b44d422d0b07b58095f4af8efe6faf97b7ba823102fdc75a0cb7ee961be0d1b940b3f16bb6bb9025bd630b818e58b2d6091a4432580ef2a32c1bf
Homepage: https://cran.r-project.org/package=MM
Description: CRAN Package 'MM' (The Multiplicative Multinomial Distribution)
 Various utilities for the Multiplicative Multinomial distribution.

Package: r-cran-mma
Architecture: all
Version: 10.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbm, r-cran-survival, r-cran-car, r-cran-gplots, r-cran-lattice
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mma_10.8-1-1.ca2004.1_all.deb
Size: 926748
MD5sum: 95448f26938f94a90c6f625d69b7a782
SHA1: fbbaf61192a93f4c0aadb28255ef03ec78b18b55
SHA256: 62d630491f32dbe65bca423047b2c81300b6f8241a54d9b0e2dab656f16888ee
SHA512: ee826125529795f155459731e26c0d88e2f73aaf652cc6882c3691500ee5e229cf0ceab645b0818690f39031fe20cbf090d6926a75d6bf3babf50db3ddd614d7
Homepage: https://cran.r-project.org/package=mma
Description: CRAN Package 'mma' (Multiple Mediation Analysis)
 Used for general multiple mediation analysis.  The analysis method is
 described in Yu and Li (2022) (ISBN: 9780367365479) "Statistical Methods for
 Mediation, Confounding and Moderation Analysis Using R and SAS", published
 by Chapman and Hall/CRC; and Yu et al.(2017)
 <DOI:10.1016/j.sste.2017.02.001> "Exploring racial disparity in obesity: a
 mediation analysis considering geo-coded environmental factors", published
 on Spatial and Spatio-temporal Epidemiology, 21, 13-23.

Package: r-cran-mmabig
Architecture: all
Version: 3.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-mma, r-cran-survival, r-cran-car, r-cran-gplots
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmabig_3.2-0-1.ca2004.1_all.deb
Size: 178244
MD5sum: f2295f96be62e38b48d94c9a6fac57c9
SHA1: 64b45e80cd61a727647561fec23f6404157af959
SHA256: b81c686b2e225ccb4e86656efe536d192a4b27f43e5760fbc121d4b0a9195a9f
SHA512: 38bd249b5f64fc4005b7fe97de95e5f65039dab326f92dcc3664f537a87d912c4c9f1c0fef5643453d9070dee3f54c5300cd19b12f4c907c0bec285949aaf969
Homepage: https://cran.r-project.org/package=mmabig
Description: CRAN Package 'mmabig' (Multiple Mediation Analysis for Big Data Sets)
 Used for general multiple mediation analysis with big data sets.

Package: r-cran-mmac
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mosaic, r-cran-mosaiccalc, r-cran-manipulate
Filename: pool/dists/focal/main/r-cran-mmac_0.1.2-1.ca2004.1_all.deb
Size: 152108
MD5sum: f9281528f0779f124539bbaf3cd4087a
SHA1: 47555a9107b22cfc78fa0a435babbe234e452bc1
SHA256: d135ea67a697b94d5161cf7019dda95a70a6152d8c46ae94a106fca620a28b96
SHA512: 83d0153b46e3af46c87a1b7be049e9b07cc8f0b06bd35d6e8e3170320ee34408c8f03de1f025e5dba6f9a8ab6718a986ce2970b9e00347134870c1be04d0f562
Homepage: https://cran.r-project.org/package=MMAC
Description: CRAN Package 'MMAC' (Data for Mathematical Modeling and Applied Calculus)
 Contains the data sets for the textbook "Mathematical Modeling and Applied
 Calculus" by Joel Kilty and Alex M. McAllister. The book will be published
 by Oxford University Press in 2018 with ISBN-13: 978-019882472.

Package: r-cran-mmad
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-mmad_1.0.0-1.ca2004.1_all.deb
Size: 167508
MD5sum: 28c33288f2b85405442340287b2b5f30
SHA1: e072ab1eebe33fe4430a1aa31ea806d9e6b1728d
SHA256: e9851e40a8c2e0b2b26a160ac46d90952199aad4634a50c701975dc4366dde61
SHA512: 3adc852b62404dc75a93bccae780555374207c9a135144b6d3c5a74df99d9d0cec65dc72dc4c144af01dae8c476abb65ec2b7d4bc2020d11f0cfec94b7add11f
Homepage: https://cran.r-project.org/package=MMAD
Description: CRAN Package 'MMAD' (MM Algorithm Based on the Assembly-Decomposition Technology)
 The Minorize-Maximization(MM) algorithm based on Assembly-Decomposition(AD)
 technology can be used for model estimation of parametric models,
 semi-parametric models and non-parametric models. We selected parametric
 models including left truncated normal distribution, type I multivariate
 zero-inflated generalized poisson distribution and multivariate compound
 zero-inflated generalized poisson distribution; semiparametric models
 include Cox model and gamma frailty model; nonparametric model is estimated
 for type II interval-censored data. These general methods are proposed based
 on the following papers, Tian, Huang and Xu (2019)
 <doi:10.5705/SS.202016.0488>, Huang, Xu and Tian (2019)
 <doi:10.5705/ss.202016.0516>, Zhang and Huang (2022)
 <doi:10.1117/12.2642737>.

Package: r-cran-mmaqshiny
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 15863
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-cairo, r-cran-xts, r-cran-lubridate, r-cran-zoo, r-cran-catools, r-cran-ggplot2, r-cran-data.table, r-cran-dt, r-cran-dplyr, r-cran-leaflet, r-cran-stringr, r-cran-shiny, r-cran-xml, r-cran-shinyjs, r-cran-plotly
Suggests: r-cran-testthat, r-cran-devtools, r-cran-usethis, r-cran-shinytest
Filename: pool/dists/focal/main/r-cran-mmaqshiny_1.0.0-1.ca2004.1_all.deb
Size: 3145176
MD5sum: 316c763289fa8e9cee39c102d5b465a3
SHA1: 891b2c5c03642a9af5ccab61b72ff76a7a683180
SHA256: 65c98c10ccdb32e53238c73a739947b73f1dde2e56b1b53e30a2c524d1246db2
SHA512: f40d49b53bf6c4a4b673359193e8096f9d00727682678c88d754de3ea3e3270c1169c4f7a6e05299a3848da974b6dd4ce798a11c914058143bdc7908437e4c62
Homepage: https://cran.r-project.org/package=mmaqshiny
Description: CRAN Package 'mmaqshiny' (Explore Air-Quality Mobile-Monitoring Data)
 Mobile-monitoring or "sensors on a mobile platform", is an increasingly
 popular approach to measure high-resolution pollution data at the street
 level.  Coupled with location data, spatial visualisation of air-quality
 parameters helps detect localized areas of high air-pollution, also called
 hotspots.  In this approach, portable sensors are mounted on a vehicle and
 driven on predetermined routes to collect high frequency data (1 Hz).
 'mmaqshiny' is for analysing, visualising and spatial mapping of
 high-resolution air-quality data collected by specific devices installed on
 a moving platform. 1 Hz data of PM2.5 (mass concentrations of particulate
 matter with size less than 2.5 microns), Black carbon mass concentrations
 (BC), ultra-fine particle number concentrations, carbon dioxide along with
 GPS coordinates and relative humidity (RH) data collected by popular
 portable instruments (TSI DustTrak-8530, Aethlabs microAeth-AE51, TSI
 CPC3007, LICOR Li-830, Garmin GPSMAP 64s, Omega USB RH probe respectively).
 It incorporates device specific cleaning and correction algorithms. RH
 correction is applied to DustTrak PM2.5 following the Chakrabarti et al.,
 (2004) <doi:10.1016/j.atmosenv.2004.03.007>. Provision is given to add
 linear regression coefficients for correcting the PM2.5 data (if required).
 BC data will be cleaned for the vibration generated noise, by adopting the
 statistical procedure as explained in Apte et al., (2011)
 <doi:10.1016/j.atmosenv.2011.05.028>, followed by a loading correction as
 suggested by Ban-Weiss et al., (2009) <doi:10.1021/es8021039>. For the
 number concentration data, provision is given for dilution correction factor
 (if a diluter is used with CPC3007; default value is 1). The package joins
 the raw, cleaned and corrected data from the above said instruments and
 outputs as a downloadable csv file.

Package: r-cran-mmarch.ac
Architecture: all
Version: 3.2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1844
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-refund, r-cran-denseflmm, r-cran-dplyr, r-cran-xlsx, r-cran-survival, r-cran-tidyr, r-cran-zoo, r-cran-ineq, r-cran-cosinor, r-cran-cosinor2, r-cran-abind, r-cran-accelerometry, r-cran-actcr, r-cran-actfrag, r-cran-minpack.lm, r-cran-kableextra, r-cran-ggir
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmarch.ac_3.2.0.1-1.ca2004.1_all.deb
Size: 1079392
MD5sum: 98aa40c5a8004169d3bec309241dd4d0
SHA1: 634ca08c8e9aab9387744bcff826b46f2a7ba705
SHA256: 3a8ffe962a17499aaed54fd7a24ca43cb237cf2c4b06ba21548379fe547c46e0
SHA512: 7ad781a24b0dc56730a6a0f03c1184e3719afd26511dbd27943b25fd76a5252b2ee0771f41b061e5bd9e6d55e01a7495bb1c6e1eb9c5ad095b01bd619837da1e
Homepage: https://cran.r-project.org/package=mMARCH.AC
Description: CRAN Package 'mMARCH.AC' (Processing of Accelerometry Data with 'GGIR' in mMARCH)
 Mobile Motor Activity Research Consortium for Health (mMARCH) is a
 collaborative network of studies of clinical and community samples that
 employ common clinical, biological, and digital mobile measures across
 involved studies. One of the main scientific goals of mMARCH sites is
 developing a better understanding of the inter-relationships between
 accelerometry-measured physical activity (PA), sleep (SL), and circadian
 rhythmicity (CR) and mental and physical health in children, adolescents,
 and adults. Currently, there is no consensus on a standard procedure for a
 data processing pipeline of raw accelerometry data, and few open-source
 tools to facilitate their development. The R package 'GGIR' is the most
 prominent open-source software package that offers great functionality and
 tremendous user flexibility to process raw accelerometry data. However, even
 with 'GGIR', processing done in a harmonized and reproducible fashion
 requires a non-trivial amount of expertise combined with a careful
 implementation. In addition, novel accelerometry-derived features of
 PA/SL/CR capturing multiscale, time-series, functional, distributional and
 other complimentary aspects of accelerometry data being constantly proposed
 and become available via non-GGIR R implementations.  To address these
 issues, mMARCH developed a streamlined harmonized and reproducible pipeline
 for loading and cleaning raw accelerometry data, extracting features
 available through 'GGIR' as well as through non-GGIR R packages,
 implementing several data and feature quality checks, merging all features
 of PA/SL/CR together, and performing multiple analyses including Joint
 Individual Variation Explained (JIVE), an unsupervised machine learning
 dimension reduction technique that identifies latent factors capturing joint
 across and individual to each of three domains of PA/SL/CR.  In detail, the
 pipeline generates all necessary R/Rmd/shell files for data processing after
 running 'GGIR' for accelerometer data. In module 1, all csv files in the
 'GGIR' output directory were read, transformed and then merged. In module 2,
 the 'GGIR' output files were checked and summarized in one excel sheet. In
 module 3, the merged data was cleaned according to the number of valid hours
 on each night and the number of valid days for each subject. In module 4,
 the cleaned activity data was imputed by the average Euclidean norm minus
 one (ENMO) over all the valid days for each subject. Finally, a
 comprehensive report of data processing was created using Rmarkdown, and the
 report includes few exploratory plots and multiple commonly used features
 extracted from minute level actigraphy data.  Reference: Guo W, Leroux A,
 Shou S, Cui L, Kang S, Strippoli MP, Preisig M, Zipunnikov V, Merikangas K
 (2022) Processing of accelerometry data with GGIR in Motor Activity Research
 Consortium for Health (mMARCH) Journal for the Measurement of Physical
 Behaviour, 6(1): 37-44.

Package: r-cran-mmb
Architecture: all
Version: 0.13.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-devtools, r-cran-testthat, r-cran-covr, r-cran-e1071, r-cran-caret, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggpubr, r-cran-cowplot, r-cran-philentropy, r-cran-rtsne
Filename: pool/dists/focal/main/r-cran-mmb_0.13.3-1.ca2004.1_all.deb
Size: 191724
MD5sum: e41b175f4d9c89e8dcfd73faf0962596
SHA1: 05e6318b29c624b8382c60b63991032258d60624
SHA256: 4106ddd1f83c86fcf146ae226418a8382692338fdfa7759194acbb86bd449217
SHA512: 9de31a69bd2d5156b9949366157ec73017622465573ec40b3772a272fe8a34c956654915854f81c7299b7a40de782833645f98316929fd1674804f8489adc011
Homepage: https://cran.r-project.org/package=mmb
Description: CRAN Package 'mmb' (Arbitrary Dependency Mixed Multivariate Bayesian Models)
 Supports Bayesian models with full and partial (hence arbitrary)
 dependencies between random variables. Discrete and continuous variables are
 supported, and conditional joint probabilities and probability densities are
 estimated using Kernel Density Estimation (KDE). The full general form,
 which implements an extension to Bayes' theorem, as well as the simple form,
 which is just a Bayesian network, both support regression through
 segmentation and KDE and estimation of probability or relative likelihood of
 discrete or continuous target random variables. This package also provides
 true statistical distance measures based on Bayesian models.  Furthermore,
 these measures can be facilitated on neighborhood searches, and to estimate
 the similarity and distance between data points.  Related work is by Bayes
 (1763) <doi:10.1098/rstl.1763.0053> and by Scutari (2010)
 <doi:10.18637/jss.v035.i03>.

Package: r-cran-mmc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mmc_0.0.3-1.ca2004.1_all.deb
Size: 29768
MD5sum: f94255fdd402ceece31e4eeae88316ea
SHA1: 036487a76874631862e493dd119586272a32418b
SHA256: 3bd45e2271c6309dd552fe74bd53b01842d1b749b1d8edc7105856c28c4b81c4
SHA512: ebb1df70848428a2ec35f6e32cd5a7c5d8cc9db5a412d6491c290f2a25d899ddde3e54f1bda6a5afbd2f30983bb88d90e0bc902fb5d11cccd4f5b9241d331086
Homepage: https://cran.r-project.org/package=mmc
Description: CRAN Package 'mmc' (Multivariate Measurement Error Correction)
 Provides routines for multivariate measurement error correction. Includes
 procedures for linear, logistic and Cox regression models. Bootstrapped
 standard errors and confidence intervals can be obtained for corrected
 estimates.

Package: r-cran-mmcards
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmcards_0.1.1-1.ca2004.1_all.deb
Size: 34920
MD5sum: 31be9508e6022afd2ca13fd3d4536587
SHA1: a0b0694886d1f374d2beed5984e512d40e65c2d8
SHA256: 77019e92d1704533123d1ee0f4a6fca63c9a7fd85f1c3fa0b4fe0532db67d4c1
SHA512: e674c2113255faf6b1943f5cdae14092035d9063365db45e22da6f055453516a1ec56c514f2b11a9e0ba24c50c49e6d7881a491a849ae79ffb9852aea7f807c0
Homepage: https://cran.r-project.org/package=mmcards
Description: CRAN Package 'mmcards' (Playing Cards Utility Functions)
 Early insights in probability theory were largely influenced by questions
 about gambling and games of chance, as noted by Blitzstein and Hwang (2019,
 ISBN:978-1138369917). In modern times, playing cards continue to serve as an
 effective teaching tool for probability, statistics, and even 'R'
 programming, as demonstrated by Grolemund (2014, ISBN:978-1449359010).  The
 'mmcards' package offers a collection of utility functions designed to aid
 in the creation, manipulation, and utilization of playing card decks in
 multiple formats. These include a standard 52-card deck, as well as
 alternative decks such as decks defined by custom anonymous functions and
 custom interleaved decks. Optimized for the development of educational
 'shiny' applications, the package is particularly useful for teaching
 statistics and probability through card-based games. Functions include
 shuffle_deck(), which creates either a shuffled standard deck or a shuffled
 custom alternative deck; deal_card(), which takes a deck and returns a list
 object containing both the dealt card and the updated deck; and i_deck(),
 which adds image paths to card objects, further enriching the package's
 utility in the development of interactive 'shiny' application card games.

Package: r-cran-mmcsd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rlist, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-simstudy, r-cran-kableextra, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-mmcsd_1.0.0-1.ca2004.1_all.deb
Size: 235048
MD5sum: dd6071ab1c75e995749fb4912d4f5a6a
SHA1: 4476c1e5fd5077cf36d8d53de09ca7fc46c298f2
SHA256: 54df379cb7c028e89c1e561c8d6fd64b93b9dd51da9c2500cfbb84ad5a5da6cd
SHA512: 6b8ca5d142aca34cfe6d2f5470643b830c5bbea37ab9196d813ff350b8833b8beb48a6fc0aaa543d10a4b2d663e8d03c8599336e68a125501448e9f8b5f84e28
Homepage: https://cran.r-project.org/package=Mmcsd
Description: CRAN Package 'Mmcsd' (Modeling Complex Longitudinal Data in a Quick and Easy Way)
 Matching longitudinal methodology models with complex sampling design. It
 fits fixed and random effects models and covariance structured models so
 far. It also provides tools to perform statistical tests considering these
 specifications as described in : Pacheco, P. H. (2021). "Modeling complex
 longitudinal data in R: development of a statistical package."
 <https://repositorio.ufjf.br/jspui/bitstream/ufjf/13437/1/pedrohenriquedemesquitapacheco.pdf>.

Package: r-cran-mmd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-plyr, r-cran-bigmemory
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmd_1.0.0-1.ca2004.1_all.deb
Size: 63568
MD5sum: a60057463d72efc9be10f86d5328ec0f
SHA1: 80d1004b3718f8d98bbcd25d009a88d5c120872c
SHA256: d9a191d8463c3bb238c85cacbf9737a0db59a26a5e1ba74beaacafba155ec7cd
SHA512: 5ddb74e556b185224f0ebb8971cf817e7f72e61937e4f06c74366352ad54ec8501fe585073172be91a8d009af3828b26c341f208eaf754cab875db24b66bb15a
Homepage: https://cran.r-project.org/package=MMD
Description: CRAN Package 'MMD' (Minimal Multilocus Distance (MMD) for Source Attribution andLoci Selection)
 The aim of the package is two-fold: (i) To implement the MMD method for
 attribution of individuals to sources using the Hamming distance between
 multilocus genotypes. (ii) To select informative genetic markers based on
 information theory concepts (entropy, mutual information and redundancy).
 The package implements the functions introduced by Perez-Reche, F. J.,
 Rotariu, O., Lopes, B. S., Forbes, K. J. and Strachan, N. J. C. Mining whole
 genome sequence data to efficiently attribute individuals to source
 populations.  Scientific Reports 10, 12124 (2020)
 <doi:10.1038/s41598-020-68740-6>.  See more details and examples in the
 README file.

Package: r-cran-mmdai
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mmdai_2.0.0-1.ca2004.1_all.deb
Size: 83516
MD5sum: 6680a346f47446386cb557f55592ddfb
SHA1: 35f3e5578dcde8f9bf41a02ee09a18bd3e713be2
SHA256: 9c7de0d610f8b86fef51d6ec08843edf6155527bb45360430d50ea3ba69584c5
SHA512: 578f00a614c11bc71606de2b63e1f94e5995d237e9790967f72fe9f523eec9be83996ae4c2fd430e84d6652bde088c575a5a9797f619252e3bd92a8c47d0a4f4
Homepage: https://cran.r-project.org/package=MMDai
Description: CRAN Package 'MMDai' (Multivariate Multinomial Distribution Approximation andImputation for Incomplete Categorical Data)
 A method to impute the missingness in categorical data. Details see the
 paper <doi:10.4310/SII.2020.v13.n1.a2>.

Package: r-cran-mmdcopula
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vinecopula, r-cran-cubature, r-cran-randtoolbox, r-cran-pbapply, r-cran-wdm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmdcopula_0.2.1-1.ca2004.1_all.deb
Size: 92252
MD5sum: 7dc877285cdcc0c049698a6f921b57c2
SHA1: 1ee15c4d0b3363b9bf4a5b91b9615a78ac5a8f60
SHA256: 60a04f6d6fa2f968869ee21bcf6dab968661c46040411e74e4eed5b7a059e04e
SHA512: f01914f77fdb7faad5924f62bd0a9c0a33c5c2f9ad84a988be4623f2d44045ea9bf8ba9d7f6c6bd98e6bab8b938ce7050359aa112c8888b7640fb23efe2d9f0a
Homepage: https://cran.r-project.org/package=MMDCopula
Description: CRAN Package 'MMDCopula' (Robust Estimation of Copulas by Maximum Mean Discrepancy)
 Provides functions for the robust estimation of parametric families of
 copulas using minimization of the Maximum Mean Discrepancy, following the
 article Alquier, Chérief-Abdellatif, Derumigny and Fermanian (2022)
 <doi:10.1080/01621459.2021.2024836>.

Package: r-cran-mmdvariance
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-cran-lawstat, r-cran-mass
Suggests: r-bioc-all
Filename: pool/dists/focal/main/r-cran-mmdvariance_0.0.9-1.ca2004.1_all.deb
Size: 124904
MD5sum: e6fc82a1e89e975bb2bde28882abcdfa
SHA1: 39f908a198ba6ec24d915ca75f6640f092a628fb
SHA256: 2c09c5697d599f59edd99189baa8ffbcd51571636f6d7d8411db93ccc026c54f
SHA512: c2264f9dfc298d478887a160dc73f6e40ea4892b523b394fd01c4196ba51e7ac2717fa64788781f0c19b534741de06be914cf20456aa011da6b9088f85df9187
Homepage: https://cran.r-project.org/package=MMDvariance
Description: CRAN Package 'MMDvariance' (Detecting Differentially Variable Genes Using the Mixture ofMarginal Distributions)
 Gene selection based on variance using the marginal distributions of gene
 profiles that characterized by a mixture of three-component multivariate
 distributions. Please see the reference: Li X, Fu Y, Wang X, DeMeo DL,
 Tantisira K, Weiss ST, Qiu W. (2018) <doi:10.1155/2018/6591634>.

Package: r-cran-mme
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-mme_0.1-6-1.ca2004.1_all.deb
Size: 545648
MD5sum: e4fee6ba0a0329ddc62c12f986317b9b
SHA1: 5ddee0c6649c8d8a3321dca4337d31f230bfc6b1
SHA256: e4a1f411419fa35688e0453628b32be5ac04bab44dbcfd1476a4ca6ccdc55121
SHA512: a8349709727d01af95805a359259e03f37ff246a38cf15f01e54ec0ea6f385be95852461e084093a563c1b8b4ff7ada1770e75daaaeee51c6e8c58beb5305efd
Homepage: https://cran.r-project.org/package=mme
Description: CRAN Package 'mme' (Multinomial Mixed Effects Models)
 Fit Gaussian Multinomial mixed-effects models for small area estimation:
 Model 1, with one random effect in each category of the response variable
 (Lopez-Vizcaino,E. et al., 2013) <doi:10.1177/1471082X13478873>; Model 2,
 introducing independent time effect; Model 3, introducing correlated time
 effect.  mme calculates direct and parametric bootstrap MSE estimators
 (Lopez-Vizcaino,E et al., 2014) <doi:10.1111/rssa.12085>.

Package: r-cran-mmeln
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mmeln_1.5-1.ca2004.1_all.deb
Size: 129252
MD5sum: 322fad08332e05e4f77ac3493eedff39
SHA1: 7ce8468f05029eb16a856f3a5bd743f5caa19a21
SHA256: add256755927bdfc6803ae5fafa4e9f173b6b9b9e148bb0fe527178060330b3b
SHA512: f5c011a959cf895b1fab34aac365249827023e4350a9688f00fe926dd4ee77f38d21062c098ae61594eaafbd6ec552fba581bd6ca4bbfc8f898193713309b09f
Homepage: https://cran.r-project.org/package=mmeln
Description: CRAN Package 'mmeln' (Estimation of Multinormal Mixture Distribution)
 Fit multivariate mixture of normal distribution using covariance structure.

Package: r-cran-mmem
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-jointdiag, r-cran-lme4, r-cran-matrixcalc, r-cran-psych, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-mmem_0.1.1-1.ca2004.1_all.deb
Size: 47340
MD5sum: 19181c09b82df3920a1d1c417f884233
SHA1: 8c6ab6ea27977579d13c3b5f1fa4976d7a75eb1d
SHA256: c80d834735e0e6556bf3e5a6f2e1bdab1162920a51c1104bd787266b93d41da2
SHA512: 23b14238dbcdc71da0e6e599865675d422bcad9cebeae1372f1742f0232f644b373dd6ebdd1e40cb42b38e134cf56eed75140228f612073d5045e285b01cb335
Homepage: https://cran.r-project.org/package=MMeM
Description: CRAN Package 'MMeM' (Multivariate Mixed Effects Model)
 Analyzing data under multivariate mixed effects model using multivariate
 REML and multivariate Henderson3 methods.  See Meyer (1985)
 <doi:10.2307/2530651> and Wesolowska Janczarek (1984)
 <doi:10.1002/bimj.4710260613>.

Package: r-cran-mmequiv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-httr2, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-httptest2, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mmequiv_1.0.0-1.ca2004.1_all.deb
Size: 163172
MD5sum: 12bbfaec1552732c212ef5bd405eea96
SHA1: 088a149589e4c80ac6daa11552bcf514a5e2e8e1
SHA256: fd852300a404dcc30ffef6a962fc168299d25f1bf13ea6551213a428be4ecdda
SHA512: e21c851eb1b7a5a9de49f8d2319654fdb1761436d2dbdf8d6805d414e43ab2a4a4dda115defb09786e19aab1c31f2c6ea99af4aea43e994895e51284fb22e630
Homepage: https://cran.r-project.org/package=mmequiv
Description: CRAN Package 'mmequiv' (Calculate Standardized Morphine Milligram Equivalent Doses)
 Calculate morphine milligram equivalents (MME) for opioid dose comparison
 using standardized methods. Can directly call the 'NIH HEAL MME Online
 Calculator' <https://research-mme.wakehealth.edu/api> API or replicate API
 calculations on the user's local machine from the comfort of 'R'. Creation
 of the 'NIH HEAL MME Online Calculator' and the MME calculations implemented
 in this package are described in Adams MCB, Sward KA, Perkins ML, Hurley RW
 (2025) <doi:10.1097/j.pain.0000000000003529>.

Package: r-cran-mmibain
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2068
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bain, r-cran-broom, r-cran-car, r-cran-dt, r-cran-e1071, r-cran-ggplot2, r-cran-igraph, r-cran-lavaan, r-cran-mmcards, r-cran-psych, r-cran-shiny, r-cran-shinythemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmibain_0.2.0-1.ca2004.1_all.deb
Size: 1822604
MD5sum: d6e44d77375ed50390357512ca2d4d28
SHA1: 98561df5aa3a2c5e99b3517378d350fd3aaa87f1
SHA256: 221cbe8662d24bd36b3c8a0e7656010dcfefc0b46ddfb0ce18dca6c204d5a5f0
SHA512: 9776ed8fff6cf68e2a3e8de5d33a58b91daf996d07dde1f8dfb23751cc9745f344b9013ca3255ce5b24ffdc2e8aad5f8349336730bb3b7bd0b2afd185145e6a0
Homepage: https://cran.r-project.org/package=mmibain
Description: CRAN Package 'mmibain' (Bayesian Informative Hypotheses Evaluation Web Applications)
 Researchers often have expectations about the relations between means of
 different groups or standardized regression coefficients; using informative
 hypothesis testing to incorporate these expectations into the analysis
 through order constraints increases statistical power Vanbrabant and Rosseel
 (2020) <doi:10.4324/9780429273872-14>. Another valuable tool, the Bayes
 factor, can evaluate evidence for multiple hypotheses without concerns about
 multiple testing, and can be used in Bayesian updating Hoijtink, Mulder, van
 Lissa & Gu (2019) <doi:10.1037/met0000201>. The 'bain' R package enables
 informative hypothesis testing using the Bayes factor. The 'mmibain' package
 provides 'shiny' web applications based on 'bain'. The RepliCrisis()
 function launches a 'shiny' card game to simulate the evaluation of
 replication studies while the mmibain() function launches a 'shiny'
 application to fit Bayesian informative hypotheses evaluation models from
 'bain'.

Package: r-cran-mmicats
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-broom.mixed, r-cran-clusterses, r-cran-dt, r-cran-lmertest, r-cran-mass, r-cran-mmcards, r-cran-pool, r-cran-robust, r-cran-robustbase, r-cran-rpostgres, r-cran-shiny, r-cran-shinythemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmicats_0.2.0-1.ca2004.1_all.deb
Size: 1859472
MD5sum: 1fcaf8aa2d007dc4625555012f00de3d
SHA1: fdbd317a517d2e8e402d1c3dfa980267525fe864
SHA256: 63a1e8f06e283f97bc4c75d314f2247f1af3a66a72173e07a4b08e2ee6bbc712
SHA512: 5857272bdb627954c5577f2ff33435909da3795c90d0c753b40ea0fb0585975c0ac25121bb03b2193d88727741b5f48744644005074180833517a8e10d15a9a7
Homepage: https://cran.r-project.org/package=mmiCATs
Description: CRAN Package 'mmiCATs' (Cluster Adjusted t Statistic Applications)
 Simulation results detailed in Esarey and Menger (2019)
 <doi:10.1017/psrm.2017.42> demonstrate that cluster adjusted t statistics
 (CATs) are an effective method for correcting standard errors in scenarios
 with a small number of clusters.  The 'mmiCATs' package offers a suite of
 tools for working with CATs. The mmiCATs() function initiates a 'shiny' web
 application, facilitating the analysis of data utilizing CATs, as
 implemented in the cluster.im.glm() function from the 'clusterSEs' package.
 Additionally, the pwr_func_lmer() function is designed to simplify the
 process of conducting simulations to compare mixed effects models with CATs
 models. For educational purposes, the CloseCATs() function launches a
 'shiny' application card game, aimed at enhancing users' understanding of
 the conditions under which CATs should be preferred over random intercept
 models.

Package: r-cran-mminp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3671
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-omicspls
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-prettydoc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mminp_0.1.0-1.ca2004.1_all.deb
Size: 3630924
MD5sum: 9e9722f1c5e8dc06273a2887da6de57c
SHA1: 3150fe64eece46466fba71d2d5592a6141d848a1
SHA256: aae9b67be5427d7cb770502a093b6b97cea831069bd4ec602133607876481aa3
SHA512: 3dbd1fa07726b0fadbabeafbb6f74eb3bb343049b8b46ad535eec5715d677bc110649dd7b0b2b3f9962ca33b3f47f62b77bc8feecdce0459b09957ebdaa08608
Homepage: https://cran.r-project.org/package=MMINP
Description: CRAN Package 'MMINP' (Microbe-Metabolite Interactions-Based Metabolic ProfilesPredictor)
 Implements a computational framework to predict microbial community-based
 metabolic profiles with 'O2PLS' model. It provides procedures of model
 training and prediction. Paired microbiome and metabolome data are needed
 for modeling, and the trained model can be applied to predict metabolites of
 analogous environments using new microbial feature abundances.

Package: r-cran-mmints
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-pool, r-cran-rpostgres, r-cran-shiny, r-cran-shinyauthr, r-cran-sodium
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmints_0.2.0-1.ca2004.1_all.deb
Size: 54504
MD5sum: 41c944b5209a9cf08e42e63649431bba
SHA1: 0da7fb0e6ff5a561bb7bb56690dadd566e5746db
SHA256: 45c135a164fdf000696ef2296a868660847b27d0a8a5336ed2f5304dbf2e0045
SHA512: 787ea82230c0c6e55e45b27d3935cac3ffd42bae46e1c0375ffaf53c907a800cb8d26b534fa781a248234f0ade1ff851e9ffb6bb278013a374d8690ef91549b5
Homepage: https://cran.r-project.org/package=mmints
Description: CRAN Package 'mmints' (Workflows for Building Web Applications)
 Sharing statistical methods or simulation frameworks through 'shiny'
 applications often requires workflows for handling data. To help save and
 display simulation results, the postgresUI() and postgresServer() functions
 in 'mmints' help with persistent data storage using a 'PostgreSQL' database.
 The 'mmints' package also offers data upload functionality through the
 csvUploadUI() and csvUploadServer() functions which allow users to upload
 data, view variables and their types, and edit variable types before fitting
 statistical models within the 'shiny' application. These tools aim to
 enhance efficiency and user interaction in 'shiny' based statistical and
 simulation applications.

Package: r-cran-mmirestriktor
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-mass, r-cran-mmcards, r-cran-pool, r-cran-restriktor, r-cran-rpostgres, r-cran-shiny, r-cran-shinythemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmirestriktor_0.3.1-1.ca2004.1_all.deb
Size: 1844804
MD5sum: eddc8edb4213fc1eab243869ed9b856d
SHA1: f2b473e1a4fd81238f40d7793aebeaa04e448a0b
SHA256: a93d8bfb8bcd9cc6ba6fbf0471a5f5c91c9843beffa4a2c3ed45a96bcfd61c3f
SHA512: edf16d586a056ad2457895f67c321e6a4b5a698ec564c42bf13032c2cdc4179f74cbc92c3c0c646c3a047fa162428f5f86893bc8c72baa563416e58206bc9ec9
Homepage: https://cran.r-project.org/package=mmirestriktor
Description: CRAN Package 'mmirestriktor' (Informative Hypothesis Testing Web Applications)
 Offering enhanced statistical power compared to traditional hypothesis
 testing methods, informative hypothesis testing allows researchers to
 explicitly model their expectations regarding the relationships among
 parameters. An important software tool for this framework is 'restriktor'.
 The 'mmirestriktor' package provides 'shiny' web applications to implement
 some of the basic functionality of 'restriktor'. The mmirestriktor()
 function launches a 'shiny' application for fitting and analyzing models
 with constraints. The FbarCards() function launches a card game application
 which can help build intuition about informative hypothesis testing. The
 iht_interpreter() helps interpret informative hypothesis testing results
 based on guidelines in Vanbrabant and Rosseel (2020)
 <doi:10.4324/9780429273872-14>.

Package: r-cran-mmlr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-mmlr_0.2.0-1.ca2004.1_all.deb
Size: 68912
MD5sum: bcb55a86f4d516de875abbe88dcb763c
SHA1: 966d2fec7df69353f3d4ebd0570322d11b5c1986
SHA256: ab87bac9b67963b114b20522f95e94c4c353716acdac58cbd5bec566a27bd3fa
SHA512: d6a83ef421f2a53195f154f04ed59e2386c95be9917edbfba53feb6264c144dd869981c6ebb9306c4c3d55ee5e5eb3a0f177f35b8ffd9452ace82dbe0c497654
Homepage: https://cran.r-project.org/package=MMLR
Description: CRAN Package 'MMLR' (Fitting Markov-Modulated Linear Regression Models)
 A set of tools for fitting Markov-modulated linear regression, where
 responses Y(t) are time-additive, and model operates in the external
 environment, which is described as a continuous time Markov chain with
 finite state space.  Model is proposed by Alexander Andronov (2012)
 <arXiv:1901.09600v1> and algorithm of parameters estimation is based on
 eigenvalues and eigenvectors decomposition.  Markov-switching regression
 models have the same idea of varying the regression parameters randomly in
 accordance with external environment. The difference is that for
 Markov-modulated linear regression model the external environment is
 described as a continuous-time homogeneous irreducible Markov chain with
 known parameters while switching models consider Markov chain as unobserved
 and estimation procedure involves estimation of transition matrix.  These
 models have significant differences in terms of the analytical approach.
 Also, package provides a set of data simulation tools for Markov-modulated
 linear regression (for academical/research purposes).  Research project No.
 1.1.1.2/VIAA/1/16/075.

Package: r-cran-mmm2
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee
Filename: pool/dists/focal/main/r-cran-mmm2_1.2-1.ca2004.1_all.deb
Size: 82732
MD5sum: fddc8c2309b59124fcb3f5dabbf1c3fa
SHA1: 32d13d3daf1fc254ced475b6023cd0b8b7f0be29
SHA256: 65b06c51e0410c403e0e98b273e6f05366295840628cd8bc9c05d530f7e5b2e0
SHA512: 75625e3dc11d173c3899470625f16bf040cd9f7124feb4d4e390ef82e7dd48bc4339ec9989dff3f48b541b3c68522e0658a7a60015e7dba3f608cbb71adb93bb
Homepage: https://cran.r-project.org/package=mmm2
Description: CRAN Package 'mmm2' (Multivariate marginal models with shared regression parameters)
 Fits multivariate marginal models with shared regression parameters for
 discrete and continuous responses

Package: r-cran-mmmgee
Architecture: all
Version: 1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mvtnorm
Suggests: r-cran-geepack, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmmgee_1.20-1.ca2004.1_all.deb
Size: 137072
MD5sum: e27bbe4522e3618751954ab1b617fe10
SHA1: 80c5d3dd98e7494ff95d0d80acf9c70e00b45ad1
SHA256: 091a9e37ee7a85fda5af96e108f522f600c2a71cd5939e9be56dd4253af96fd9
SHA512: 591dfbae72d9877635591e3ea68d1d210ec4bb678d22d7aae4025e8f012ae83fc1d8e74bb733ff427ff05d9788500c4c2e232357dbb5e0ae1e644196dc13e793
Homepage: https://cran.r-project.org/package=mmmgee
Description: CRAN Package 'mmmgee' (Simultaneous Inference for Multiple Linear Contrasts in GEEModels)
 Provides global hypothesis tests, multiple testing procedures and
 simultaneous confidence intervals for multiple linear contrasts of
 regression coefficients in a single generalized estimating equation (GEE)
 model or across multiple GEE models. GEE models are fit by a modified
 version of the 'geeM' package.

Package: r-cran-mmoc
Architecture: all
Version: 0.1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4027
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-spectrum, r-cran-igraph, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-snftool, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-mmoc_0.1.1.0-1.ca2004.1_all.deb
Size: 1058628
MD5sum: a7a155b8631c763a9a5d0c8cdf295f42
SHA1: 28cda8553e6ffbb2ab3e2cde1892984087925607
SHA256: b5e183274e15c114f999f20ddd8000d06bc40d500279d72a918983159deee70d
SHA512: 696699150e6d7ade6d06bbc9d1a7f6292ae772b6a38c5ebf4dcf9d7a9ce4b8d15d0021029c40e87a83571b7627271ed6527cfda1f8ef83d7c25bbed1e028107b
Homepage: https://cran.r-project.org/package=MMOC
Description: CRAN Package 'MMOC' (Multi-Omic Spectral Clustering using the Flag Manifold)
 Multi-omic (or any multi-view) spectral clustering methods often assume the
 same number of clusters across all datasets. We supply methods for
 multi-omic spectral clustering when the number of distinct clusters differs
 among the omics profiles (views).

Package: r-cran-mmod
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adegenet, r-cran-pegas
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmod_1.3.3-1.ca2004.1_all.deb
Size: 288368
MD5sum: bfed6c2478fa4e1aacd228ab9260fe8d
SHA1: cdf6492a7a9b90d3a4ebd1854675e76cd2efe6d8
SHA256: bb5ad9ee47ba8401c011417ddd88d16769fa4a3df99fc9d147302e0cd75515c3
SHA512: 5f0fb51d345e3a2185d2c9c987338f08a2a7710df8d16c42d25dd45763936c75ec8f2f702de3037e942849a73025a067f1abdae4647c3177f962366938a24d13
Homepage: https://cran.r-project.org/package=mmod
Description: CRAN Package 'mmod' (Modern Measures of Population Differentiation)
 Provides functions for measuring population divergence from genotypic data.

Package: r-cran-mmodely
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 758
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caper, r-cran-caroline, r-cran-ape
Filename: pool/dists/focal/main/r-cran-mmodely_0.2.5-1.ca2004.1_all.deb
Size: 486984
MD5sum: a74e2be59c97c6010642b8ae3facad48
SHA1: 1875bb2a22afd2fb32289e9517dc2c06ac784128
SHA256: 7d07ca8f26f363e975494ca00bf0bf7d54952b2141eb3bc7aec928bb5a208dc4
SHA512: 36bd0d27f51aa56e41baea2f59b337fc520e359505a34a654470d01d446742d753c328c1f1c674f44ae228d566efd58836c6ad0f53121caad9e67bf25d48e1e8
Homepage: https://cran.r-project.org/package=mmodely
Description: CRAN Package 'mmodely' (Modeling Multivariate Origins Determinants - EvolutionaryLineages in Ecology)
 Perform multivariate modeling of evolved traits, with special attention to
 understanding the interplay of the multi-factorial determinants of their
 origins in complex ecological settings (Stephens, 2007
 <doi:10.1016/j.tree.2006.12.003>).  This software primarily concentrates on
 phylogenetic regression analysis, enabling implementation of tree
 transformation averaging and visualization functionality.  Functions
 additionally support information theoretic approaches (Grueber, 2011
 <doi:10.1111/j.1420-9101.2010.02210.x>; Garamszegi, 2011
 <doi:10.1007/s00265-010-1028-7>) such as model averaging and selection of
 phylogenetic models.  Accessory functions are also implemented for coef
 standardization (Cade 2015), selection uncertainty, and variable importance
 (Burnham & Anderson 2000).  There are other numerous functions for
 visualizing confounded variables, plotting phylogenetic trees, as well as
 reporting and exporting modeling results.  Lastly, as challenges to ecology
 are inherently multifarious, and therefore often multi-dataset, this package
 features several functions to support the identification, interpolation,
 merging, and updating of missing data and outdated nomenclature.

Package: r-cran-mmpa
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmpa_1.2.0-1.ca2004.1_all.deb
Size: 68216
MD5sum: 90d328824767ef3651128a80d67206da
SHA1: d1d1fe666a55548383dd94bd073159c069f218e5
SHA256: f9c4334223783f80ceb7a5319593fc436810bb0434bcb13914833b5e05800112
SHA512: 0e076f8fe934f8b8aac121e3d21280ed80cb3dd636e0bcc799cde925e21a95604ce2a25462e505b6c297bb0a24fae06fb6d9d54ffd12f4b642d65b5a7de5d3c6
Homepage: https://cran.r-project.org/package=mMPA
Description: CRAN Package 'mMPA' (Implementation of Marker-Assisted Mini-Pooling with Algorithm)
 To determine the number of quantitative assays needed for a sample of data
 using pooled testing methods, which include mini-pooling (MP), MP with
 algorithm (MPA), and marker-assisted MPA (mMPA). To estimate the number of
 assays needed, the package also provides a tool to conduct Monte Carlo (MC)
 to simulate different orders in which the sample would be collected to form
 pools.  Using MC avoids the dependence of the estimated number of assays on
 any specific ordering of the samples to form pools.

Package: r-cran-mmpf
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-data.table
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-randomforest, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-mmpf_0.0.5-1.ca2004.1_all.deb
Size: 172436
MD5sum: aa000f5f356e8fd2155b6558af57471b
SHA1: 15ae683530f2819f043b9df357e74742bbf72433
SHA256: db478b100d861310658611359b1948373c872aa1fcc409f365afe19d5087109c
SHA512: 604f38c8cd88636bc1a55b89c4d298d5f233d26b570d153ee2176aed8183a01574b32972c96aaa0d50d3bb6e76b67fa5cd9b9f8d78ffe17889485276dd316ea9
Homepage: https://cran.r-project.org/package=mmpf
Description: CRAN Package 'mmpf' (Monte-Carlo Methods for Prediction Functions)
 Marginalizes prediction functions using Monte-Carlo integration and computes
 permutation importance.

Package: r-cran-mmpp
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mmpp_0.6-1.ca2004.1_all.deb
Size: 103420
MD5sum: d61b548ecedab217aeba51afa0d65034
SHA1: 183b6a6dff496c65306c101f9a5de46e3fedd2af
SHA256: 94e32b276b43d2c0fc91631c9ba6829985126b81fa6e6449ce6e030f524fcc00
SHA512: efd80f641eb7b987b56c8bd1c87462439ac6ed529f9b65a6867590bcddd90cf701a81e2ad82b1084e6ba81250b11cc07052fbb92d9728efc0890fe9d0645f22c
Homepage: https://cran.r-project.org/package=mmpp
Description: CRAN Package 'mmpp' (Various Similarity and Distance Metrics for Marked PointProcesses)
 Compute similarities and distances between marked point processes.

Package: r-cran-mmr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mmr_0.1.0-1.ca2004.1_all.deb
Size: 9604
MD5sum: 0413b975bccd380e6b29b508a6f0895a
SHA1: 0f61aad97086ed204a831793373e4d9db1bbc10b
SHA256: 16fd3fec5bde61a33ca98e5d050c32075a4fac5b14e6318442a8ba3c02872924
SHA512: 3efab6b3bd98b394b6bae2f71766fa03ef906cf855dcc30c94f0737adb21b44fa837f79492dc20dc90207c310f1a3037da747c98794953465af4825c3581f608
Homepage: https://cran.r-project.org/package=mmr
Description: CRAN Package 'mmr' (Matrix Multiplication on Data.frames)
 Simple helpers for matrix multiplication on data.frames. These allow for
 more concise code during low level mathematical operations, and help ensure
 code is more easily read, understood, and serviced.

Package: r-cran-mmrcaseselection
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmrcaseselection_0.1.0-1.ca2004.1_all.deb
Size: 85256
MD5sum: a9f96e26d847a0c600ec68a17200e0eb
SHA1: a671aab36ff36b5f4d8b4b7652ab9c4a2453f0a9
SHA256: ab20b4299aafecfd545dd7be83593043eb4194cb4e25ed94d610b722930e4d24
SHA512: 816e79af2085c91c6f223e83050ff8627b58675599afa305ac07bf1e6f26fdbe474947d9f395f9f24819d2ef5f524ce99ee469a66cd5b975c379bbd71f1f825d
Homepage: https://cran.r-project.org/package=MMRcaseselection
Description: CRAN Package 'MMRcaseselection' (Case Classification and Selection Based on Regression Results)
 Researchers doing a mixed-methods analysis (nested analysis as developed by
 Lieberman (2005) <doi:10.1017/S0003055405051762>) can use the package for
 the classification of cases and case selection using results of a linear
 regression. One can designate cases as typical, deviant, extreme and pathway
 case and use different case selection strategies for the choice of a case
 belonging to one of these types.

Package: r-cran-mmstat4
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1801
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-digest, r-cran-httr, r-cran-knitr, r-cran-rappdirs, r-cran-reticulate, r-cran-rio, r-cran-rstudioapi, r-cran-shiny, r-cran-stringdist
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mmstat4_0.2.1-1.ca2004.1_all.deb
Size: 1118068
MD5sum: d704edf981b358e9d8b79904a4ad8664
SHA1: 96b7ba7ff2bd444005b6426b6319d97394461bdf
SHA256: 9357f5705820820a8438fda1eb6cd52466ce9ddb7b335fcf5bfacd6b29d68c78
SHA512: f3d9714ab438fd0e58701f46720c507ba42a9a1293f312403d8f4a1cb71eefe7bf930ed705a19e36682a8721bad9581ab6ddf13c71f98b617d172f8d72403056
Homepage: https://cran.r-project.org/package=mmstat4
Description: CRAN Package 'mmstat4' (Access to Teaching Materials from a ZIP File or GitHub)
 Provides access to teaching materials for various statistics courses,
 including R and Python programs, Shiny apps, data, and PDF/HTML documents.
 These materials are stored on the Internet as a ZIP file (e.g., in a GitHub
 repository) and can be downloaded and displayed or run locally. The content
 of the ZIP file is temporarily or permanently stored. By default, the
 package uses the GitHub repository 'sigbertklinke/mmstat4.data.'
 Additionally, the package includes 'association_measures.R' from the
 archived package 'ryouready' by Mark Heckman and some auxiliary functions.

Package: r-cran-mmtsne
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mmtsne_0.1.0-1.ca2004.1_all.deb
Size: 32484
MD5sum: 840aef5d07283661d0cdaf64e497e77b
SHA1: 8bb9a50ff586861054ae229687c220d641559d39
SHA256: dbb1e4ba9d4a0e52ac646408fe585813c071a234833f79da51eff92b09e332cc
SHA512: 5a8b5dc86ad7b0920e321e93279e1f5a3f873b6c15be74af253969ee1e7315f44bcf5723c38f885e5e0be9bd3ad3bfb2bc9fd832163710a0f007c8e7d1848870
Homepage: https://cran.r-project.org/package=mmtsne
Description: CRAN Package 'mmtsne' (Multiple Maps t-SNE)
 An implementation of multiple maps t-distributed stochastic neighbor
 embedding (t-SNE). Multiple maps t-SNE is a method for projecting
 high-dimensional data into several low-dimensional maps such that non-metric
 space properties are better preserved than they would be by a single map.
 Multiple maps t-SNE with only one map is equivalent to standard t-SNE.  When
 projecting onto more than one map, multiple maps t-SNE estimates a set of
 latent weights that allow each point to contribute to one or more maps
 depending on similarity relationships in the original data. This
 implementation is a port of the original 'Matlab' library by Laurens van der
 Maaten.  See Van der Maaten and Hinton (2012)
 <doi:10.1007/s10994-011-5273-4>.  This material is based upon work supported
 by the United States Air Force and Defense Advanced Research Project Agency
 (DARPA) under Contract No.  FA8750-17-C-0020.  Any opinions, findings and
 conclusions or recommendations expressed in this material are those of the
 author(s) and do not necessarily reflect the views of the United States Air
 Force and Defense Advanced Research Projects Agency.  Distribution Statement
 A: Approved for Public Release; Distribution Unlimited.

Package: r-cran-mmwrweek
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mmwrweek_0.1.3-1.ca2004.1_all.deb
Size: 27640
MD5sum: 66338425cf912e73769693716712496e
SHA1: d9c5e72d5cc57ade2a9201c646bb699bbf12322e
SHA256: d4793251d142c4d111abba6f3f291f09fe220976eb902c61b3c976c857de2445
SHA512: 43cde9f9995f8c9d310ddc44e29a618180347f192ee4a7e9795aa9cb06590f046adb781064fecb05dfc07c3114513164a1e923fa1ce9e059a27cac0180357212
Homepage: https://cran.r-project.org/package=MMWRweek
Description: CRAN Package 'MMWRweek' (Convert Dates to MMWR Day, Week, and Year)
 The first day of any MMWR week is Sunday.  MMWR week numbering is sequential
 beginning with 1 and incrementing with each week to a maximum of 52 or 53.
 MMWR week #1 of an MMWR year is the first week of the year that has at least
 four days in the calendar year. This package provides functionality to
 convert Dates to MMWR day, week, and year and the reverse.

Package: r-cran-mn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-mn_1.0-1.ca2004.1_all.deb
Size: 31092
MD5sum: d9538748c036ce6e7bd336bf3985c44a
SHA1: dbd9ee1b8bf51d2cb48c39079bf5500681065c99
SHA256: 8aef8d500fd4c64d1e8f06445e0ca860c5b0f83172408d1ce3756dc5ab347bd5
SHA512: ff2fffa6a86bf2bf73ac0c1433a998e8231b061c8fe03bba7fdb4de367fff2f5fa17fb01061cba04e78364b3b9d98dcd019fe517630d31ac0c4d8b551b561a3e
Homepage: https://cran.r-project.org/package=MN
Description: CRAN Package 'MN' (Matrix Normal Distribution)
 Density computation, random matrix generation and maximum likelihood
 estimation of the matrix normal distribution. References: Pocuca N.,
 Gallaugher M. P., Clark K. M. & McNicholas P. D. (2019). Assessing and
 Visualizing Matrix Variate Normality. <doi:10.48550/arXiv.1910.02859> and
 the relevant wikipedia page.

Package: r-cran-mnb
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexsurv, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-mnb_1.2.0-1.ca2004.1_all.deb
Size: 77528
MD5sum: 96ada8d22e8131b6468d8d51673e1bb7
SHA1: fc8b5a5d6edb09eb68c6cb5569546c63886dc776
SHA256: ac3baa0280018ba68f830e074933ca7f4c2183460d844ca7bb9efde79890a739
SHA512: d16b66343ad1598d30ef18774e07933ec86f7e47fef4344e91a8083378df899a350b7157611d2fa7788fe7be15830eeca926d50210204fb0cc48c51e86c035cb
Homepage: https://cran.r-project.org/package=MNB
Description: CRAN Package 'MNB' (Diagnostic Tools for a Multivariate Negative Binomial RegressionModel)
 Diagnostic tools as residual analysis, global, local and total-local
 influence for the multivariate model from the random intercept Poisson
 generalized log gamma model are available in this package. Including also,
 the estimation process by maximum likelihood method, for details see Fabio,
 L. C; Villegas, C. L.; Carrasco, J.M.F and de Castro, M. (2023)
 <doi:10.1080/03610926.2021.1939380> and Fábio, L. C.; Villegas, C.; Mamun,
 A. S. M. A. and Carrasco, J. M. F. (2025) <doi:10.28951/bjb.v43i1.728>.

Package: r-cran-mnda
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-igraph, r-cran-matrix, r-cran-keras, r-cran-tensorflow, r-cran-reticulate, r-cran-mass, r-cran-ggraph, r-cran-ggplot2, r-cran-aggregation, r-cran-usethis, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-mnda_1.0.9-1.ca2004.1_all.deb
Size: 84300
MD5sum: 5f60173f749175cf08bb5a57d47edcca
SHA1: 7b173fcffbfee26fb400ac94a36ca791371cf5b7
SHA256: 266f81f936e73ad3bbe6304749db7d51688e8cb8fd4820f990dd4262247ba28f
SHA512: 1cdb5be281c9764009eba5b5c9d43b1d22f8b0932ab03f32cd5c39b94b455fb6f5923cea9cd2056383ef6a7489ac09be82689a5f9aa3a72064cfed8144465f51
Homepage: https://cran.r-project.org/package=mnda
Description: CRAN Package 'mnda' (Multiplex Network Differential Analysis (MNDA))
 Interactions between different biological entities are crucial for the
 function of biological systems.  In such networks, nodes represent
 biological elements, such as genes, proteins and microbes, and their
 interactions can be defined by edges, which can be either binary or
 weighted.  The dysregulation of these networks can be associated with
 different clinical conditions such as diseases and response to treatments.
 However, such variations often occur locally and do not concern the whole
 network.  To capture local variations of such networks, we propose multiplex
 network differential analysis (MNDA).  MNDA allows to quantify the
 variations in the local neighborhood of each node (e.g. gene) between the
 two given clinical states, and to test for statistical significance of such
 variation.  Yousefi et al. (2023) <doi:10.1101/2023.01.22.525058>.

Package: r-cran-mnet
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlvar, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mnet_0.1.4-1.ca2004.1_all.deb
Size: 610704
MD5sum: 26dd5da0f7fe35a843bcccbf3a87c8de
SHA1: 9c50d24fa457ce2a727de4f9176aad0837981c7e
SHA256: e95c60ed2847466db9e65993201ba47769c84649ca14ca59c11ba400353bd72d
SHA512: e46c25111e64de8dd061bece3063f33088d53eb36bb6e5aafdabfe11bef38740074b1474c49ee66a9e5076ff7710f763cd9b28a1b9ed09cff8f3b4a84ca63547
Homepage: https://cran.r-project.org/package=mnet
Description: CRAN Package 'mnet' (Modeling Group Differences and Moderation Effects in StatisticalNetwork Models)
 A toolbox for modeling manifest and latent group differences and moderation
 effects in various statistical network models.

Package: r-cran-mnj
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-mnj_1.0-1.ca2004.1_all.deb
Size: 17596
MD5sum: 961853e2b58c1d3d9c1bf3dc8732d205
SHA1: 2795beebc96b4dbf954393c724ef5fabac61d80c
SHA256: 6f70a38022a4bc0e65fb4c49788b9689d2617d10e9156154d7ce6f1158268e80
SHA512: 9bc6706029074b2efca8bb9b11c2c91a996508841e05acc12ff11f692298fbe51b42c6fa0d628ba3cd87e5330b326850b3210e811dec8878cb1148dd75358c99
Homepage: https://cran.r-project.org/package=mnj
Description: CRAN Package 'mnj' (Machine Learning and Judgement)
 Perform FlexBoost in R. FlexBoost is a newly suggested algorithm based on
 AdaBoost by adjusting adaptive loss functions. Not only FlexBoost but also
 other machine learning algorithms (e.g. Support Vector Machines) will be
 added. For more details on FlexBoost see Jeon, Y. S., Yang, D. H., & Lim, D.
 J. (2019) <doi:10.1109/access.2019.2938356>.

Package: r-cran-mnlpred
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-nnet, r-cran-magrittr, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-mnlpred_0.0.8-1.ca2004.1_all.deb
Size: 121156
MD5sum: ae12601e2fd3cb6c64590b1468155b3e
SHA1: 999e80582f2448feff3c5f74c88f21edddd9e0e6
SHA256: 703e0c541a804259f90d784b13a65f8dde49434d3842e7876914e57bae4e4165
SHA512: 388fc6f8bd353bd6fdb110cfe355bd506ef264997d29327ffde7d7d9d0057e47314bc9a82e9670c09f5fc626e0b556f22b51052e08b3fb3f6f09ec38a14f23c8
Homepage: https://cran.r-project.org/package=MNLpred
Description: CRAN Package 'MNLpred' (Simulated Predicted Probabilities for Multinomial Logit Models)
 Functions to easily return simulated predicted probabilities and first
 differences for multinomial logit models. It takes a specified scenario and
 a multinomial model to predict probabilities with a set of coefficients,
 drawn from a simulated sampling distribution. The simulated predictions
 allow for meaningful plots with means and confidence intervals.  The
 methodological approach is based on the principles laid out by King, Tomz,
 and Wittenberg (2000) <doi:10.2307/2669316> and Hanmer and Ozan Kalkan
 (2016) <doi:10.1111/j.1540-5907.2012.00602.x>.

Package: r-cran-mnlr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1842
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-nnet, r-cran-e1071, r-cran-caret
Filename: pool/dists/focal/main/r-cran-mnlr_0.1.0-1.ca2004.1_all.deb
Size: 835172
MD5sum: 4ebb2eae49a50d06c384c3d71aa62942
SHA1: 09cdc6fc123492736c2312bc7eebf401cced8474
SHA256: 34046aed8e4e455f447b33999d2d3d80f1143fc14ba9f94850470ca41f4f5a7f
SHA512: 25aaa37c3a3701dc4fae9620783b67b0628f41620f2be74a560771c30d2722b242f9d6d5173cdf9fc429ee74ac95f36f4edc41745288cde6cf9a92baebc4c237
Homepage: https://cran.r-project.org/package=MNLR
Description: CRAN Package 'MNLR' (Interactive Shiny Presentation for Working with MultinomialLogistic Regression)
 An interactive presentation on the topic of Multinomial Logistic Regression.
 It is helpful to those who want to learn Multinomial Logistic Regression
 quickly and get a hands on experience. The presentation has a template for
 solving problems on Multinomial Logistic Regression. Runtime examples are
 provided in the package function as well as at
 <https://jarvisatharva.shinyapps.io/MultinomPresentation>.

Package: r-cran-mnm
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-icsnp, r-cran-spatialnp, r-cran-ellipse, r-cran-ics
Suggests: r-cran-gamlss, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mnm_1.0-4-1.ca2004.1_all.deb
Size: 303272
MD5sum: cdabafb3c58c57074d9c5e56088ce469
SHA1: bf83d46749a364c7326b242cfe55a752f73fba3c
SHA256: f878468e5af4aec5d0a00d670f7f510feff7a61213f46b1ddcd2777458fe7c77
SHA512: 82b1a821f1ec3f96a43e844d358edf81b4efd40243b852fb8a7dc86a6a225fc221b77723bf582e59ac1486a529cefd91bf37282b3c38a64afc98a00b747dfc50
Homepage: https://cran.r-project.org/package=MNM
Description: CRAN Package 'MNM' (Multivariate Nonparametric Methods. An Approach Based on SpatialSigns and Ranks)
 Multivariate tests, estimates and methods based on the identity score,
 spatial sign score and spatial rank score are provided. The methods include
 one and c-sample problems, shape estimation and testing, linear regression
 and principal components. The methodology is described in Oja (2010)
 <doi:10.1007/978-1-4419-0468-3> and Nordhausen and Oja (2011)
 <doi:10.18637/jss.v043.i05>.

Package: r-cran-mnonr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-semtools
Filename: pool/dists/focal/main/r-cran-mnonr_1.0.0-1.ca2004.1_all.deb
Size: 34000
MD5sum: 9c6c7bd7329310c6b38293d871ed8dfc
SHA1: 7c1931d27036a6ce6054adfbc9b41ea2911337bd
SHA256: d48a8cc84e038cb15ed506bb9ed40d06c199496a9f03e8bb9a940c36308af404
SHA512: 5849a7a792f6b3f4aba64ebe6d2552cc80f6df792429cf8c402b4e10465cfba52a6d91acb2b8a807d4afedd268dbacf90df442ee10b92869aa7685ca68c650a6
Homepage: https://cran.r-project.org/package=mnonr
Description: CRAN Package 'mnonr' (A Generator of Multivariate Non-Normal Random Numbers)
 A data generator of multivariate non-normal data in R. It combines two
 different methods to generate non-normal data, one with user-specified
 multivariate skewness and kurtosis (more details can be found in the paper:
 Qu, Liu, & Zhang, 2019 <doi:10.3758/s13428-019-01291-5>), and the other with
 the given marginal skewness and kurtosis. The latter one is the widely-used
 Vale and Maurelli's method. It also contains a function to calculate
 univariate and multivariate (Mardia's Test) skew and kurtosis.

Package: r-cran-mnormtest
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmpfr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-yaml, r-cran-testthat, r-cran-devtools, r-cran-roxygen2, r-cran-pkgbuild, r-cran-covr, r-cran-usethis, r-cran-dt
Filename: pool/dists/focal/main/r-cran-mnormtest_1.1.1-1.ca2004.1_all.deb
Size: 63468
MD5sum: 4474b77567c0237a9dffd12cf0b31e77
SHA1: ae894db59593852292bda147f2e1ef2555e49264
SHA256: 065fcbfd97a5040019c96852ec74d26da205e4dc36ba9a5274f394ed7545ffda
SHA512: 10064073679935681a5fcd809207aeb50c7fba7e829c5b2c2deac3e393ebfaf76036ccf7c7c6cad847decf829a6cb7ec338922ff66c2685f6dbd71d2a512edb8
Homepage: https://cran.r-project.org/package=MNormTest
Description: CRAN Package 'MNormTest' (Multivariate Normal Hypothesis Testing)
 Hypothesis testing of the parameters of multivariate normal distributions,
 including the testing of a single mean vector, two mean vectors, multiple
 mean vectors, a single covariance matrix, multiple covariance matrices, a
 mean and a covariance matrix simultaneously, and the testing of independence
 of multivariate normal random vectors. Huixuan, Gao (2005,
 ISBN:9787301078587), "Applied Multivariate Statistical Analysis".

Package: r-cran-mnreadr
Architecture: all
Version: 2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-nlme, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-mnreadr_2.1.7-1.ca2004.1_all.deb
Size: 138332
MD5sum: bff345a4aa1d6e6129159d7e90bd0de9
SHA1: 0c5115e3e59e71e893bcb9b8e52b5bd639b852c9
SHA256: 9bb200311bc7c89e2e31b1d2e3e025525391abe48232f8bc3095ec6f54bd715f
SHA512: 76d4f5725a118126a032386fc410f43e7ebb172087b68b9db144d4e60c009b16944311c3c1809adda8389678d35bbca42ffd757c62336b245ee9f1bddf1b8d84
Homepage: https://cran.r-project.org/package=mnreadR
Description: CRAN Package 'mnreadR' (MNREAD Parameters Estimation and Curve Plotting)
 Allows to analyze the reading data obtained with the MNREAD Acuity Chart, a
 continuous-text reading acuity chart for normal and low vision.  Provides
 the necessary functions to plot the MNREAD curve and estimate automatically
 the four MNREAD parameters: Maximum Reading Speed, Critical Print Size,
 Reading Acuity and Reading Accessibility Index.  Parameters can be estimated
 either with the standard method or with a nonlinear mixed-effects (NLME)
 modeling.  See Calabrese et al. 2018 for more details <doi:10.1167/18.1.8>.

Package: r-cran-mns
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mass, r-cran-glmnet, r-cran-mvtnorm, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-mns_1.0-1.ca2004.1_all.deb
Size: 373740
MD5sum: edc50e5288ac5416188bbd1cc1cc808c
SHA1: c50ab6b41f14280f1a653ae2e080667bed406ee2
SHA256: 348f42102239d3d02c687b5377222041112944f64ad25f304a4692dea0c16e13
SHA512: 4d3b0488a0176c05bb5197fae5cfc3afc5969e5e5260fb8757dec31e25e24a01be424093c36a2bae95295e092b8aaee7a45a564e22e20b31de12a95b1521e961
Homepage: https://cran.r-project.org/package=MNS
Description: CRAN Package 'MNS' (Mixed Neighbourhood Selection)
 An implementation of the mixed neighbourhood selection (MNS) algorithm. The
 MNS algorithm can be used to estimate multiple related precision matrices.
 In particular, the motivation behind this work was driven by the need to
 understand functional connectivity networks across multiple subjects. This
 package also contains an implementation of a novel algorithm through which
 to simulate multiple related precision matrices which exhibit properties
 frequently reported in neuroimaging analysis.

Package: r-cran-mnt
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-mnt_1.3-1.ca2004.1_all.deb
Size: 211636
MD5sum: bc91a0b4974dfc1a17ccb6a21f7f051a
SHA1: 407652e20e6f0b596778b5074ddeff08feb82894
SHA256: f38c5a238941e6334d481f9036c01b6067a275f7549d5fba4f9654f57e459153
SHA512: 19d193bd313a981e316df5a93c86793de4b1bcd740ad6fffb86d16334659f64d00040d40978d28379186ce6c88e36d80e29a1ab16b76a40634772d88ef292f5d
Homepage: https://cran.r-project.org/package=mnt
Description: CRAN Package 'mnt' (Affine Invariant Tests of Multivariate Normality)
 Various affine invariant multivariate normality tests are provided. It is
 designed to accompany the survey article Ebner, B. and Henze, N. (2020)
 <arXiv:2004.07332> titled "Tests for multivariate normality -- a critical
 review with emphasis on weighted L^2-statistics". We implement new and time
 honoured L^2-type tests of multivariate normality, such as the
 Baringhaus-Henze-Epps-Pulley (BHEP) test, the Henze-Zirkler test, the test
 of Henze-Jiménes-Gamero, the test of Henze-Jiménes-Gamero-Meintanis, the
 test of Henze-Visage, the Dörr-Ebner-Henze test based on harmonic oscillator
 and the Dörr-Ebner-Henze test based on a double estimation in a PDE.
 Secondly, we include the measures of multivariate skewness and kurtosis by
 Mardia, Koziol, Malkovich and Afifi and Móri, Rohatgi and Székely, as well
 as the associated tests. Thirdly, we include the tests of multivariate
 normality by Cox and Small, the 'energy' test of Székely and Rizzo, the
 tests based on spherical harmonics by Manzotti and Quiroz and the test of
 Pudelko. All the functions and tests need the data to be a n x d matrix
 where n is the samplesize (number of rows) and d is the dimension (number of
 columns).

Package: r-cran-mob
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gbm, r-cran-rborist
Filename: pool/dists/focal/main/r-cran-mob_0.4.2-1.ca2004.1_all.deb
Size: 212752
MD5sum: a067e9ce8e7e9bad8a2d8707b7c61c6a
SHA1: a8ca1e9a09504ff3680f14a1b1f34e415c128be5
SHA256: fab1425c97c5db0b6d73a604078e9fe37726dad572c345c6e092fc3af96e3519
SHA512: b895704309896282adae9214b749e1e4a6a8a248042fa41632f20ad870d9f5606abd8819791e50480b45094b155fd22598c20a9cb9b7767d1a97dddb717a5ad1
Homepage: https://cran.r-project.org/package=mob
Description: CRAN Package 'mob' (Monotonic Optimal Binning)
 Generate the monotonic binning and perform the woe (weight of evidence)
 transformation for the logistic regression used in the consumer credit
 scorecard development. The woe transformation is a piecewise transformation
 that is linear to the log odds. For a numeric variable, all of its monotonic
 functional transformations will converge to the same woe transformation.

Package: r-cran-mobiletrigger
Architecture: all
Version: 0.0.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-knitr, r-cran-kableextra, r-cran-ggplot2, r-cran-xml, r-cran-plyr, r-cran-yaml, r-cran-mailr
Filename: pool/dists/focal/main/r-cran-mobiletrigger_0.0.31-1.ca2004.1_all.deb
Size: 58488
MD5sum: 671410a59882acf7e8ebbd1175e5e887
SHA1: dd40b9d068a7c7418d2e77e663cb023b09e7b7c1
SHA256: 65e7c96c95e83bcef96eaf7cb5998a22aa70531333b325a31b8ddec90b1d990c
SHA512: 9c769d41a657ebb59391f9ce48162647aeb61c50b5895d9e43d9268b3861628e62416f0bf842f7b24ca71db2138454066641b12ae451d0a01c297cb701eeded4
Homepage: https://cran.r-project.org/package=MobileTrigger
Description: CRAN Package 'MobileTrigger' (Run Reports, Models, and Scripts from a Mobile Device)
 A framework for interacting with R modules such as Reports, Models, and
 Scripts from a mobile device.  The framework allows you to list available
 modules and select a module of interest using a basic e-mail interface.
 After selecting a specific module, you can either run it as is or provide
 input via the e-mail interface. After parsing your request, R will send the
 results back to your mobile device.

Package: r-cran-mobilityindexr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mobilityindexr_0.2.1-1.ca2004.1_all.deb
Size: 120628
MD5sum: a3b8f9f3229097c037827ee4e0fe8014
SHA1: 7982c3811701c385e3991117d1417bd9764a9bf1
SHA256: 6174a747987f9dad24adba1ff94b2aa79b9318181e0fc99a264fd430152dcf81
SHA512: 4515a89c0453abac7af898c705ee31cb96748b1a1e78aeb671318272923fede93a1f62d060657ab2eb531feaf027f7faeb9204ae4d2ee15ab59cb7e694cfdb4d
Homepage: https://cran.r-project.org/package=mobilityIndexR
Description: CRAN Package 'mobilityIndexR' (Calculates Transition Matrices and Mobility Indices)
 Measures mobility in a population through transition matrices and mobility
 indices. Relative, mixed, and absolute transition matrices are supported.
 The Prais-Bibby, Absolute Movement, Origin Specific, and Weighted Group
 Mobility indices are supported. Example income and grade data are included.

Package: r-cran-mobirep
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-texmex, r-cran-copbasic, r-cran-ks, r-cran-lattice, r-cran-spatialextremes, r-cran-zoo, r-cran-copula, r-cran-ggplot2, r-cran-viridis
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mobirep_0.2.3-1.ca2004.1_all.deb
Size: 248988
MD5sum: 5277c92873977fb228b159476f98f6f1
SHA1: 9daa381293b24b8eb426f4e6740ac92c6098f699
SHA256: 614b29b470bda243f8a83094e41624485c6a4c21e104650bb14ccb186b478d30
SHA512: 5c6fe3806302829ed4d40a2bc7767440efba7890ef3a0a5a559c06f6a9f1ec8c3198260f84230a3321a2806dc2a5c5f4ab41108dd6514b0f6507446d5d881acd
Homepage: https://cran.r-project.org/package=mobirep
Description: CRAN Package 'mobirep' (Models Bivariate Dependence and Produces Bivariate ReturnPeriods)
 Models the dependence between two variables in the extremes, identifies most
 relevant models among six models: the conditional extremes model, the Jt-KDE
 model and four copulae (Gumbel, Galambos, Normal, FGM). Bivariate return
 periods for the six models and bivariate level curves can be created.
 Methods used in the package are described in the following reference:
 Tilloy, Malamud, Winter and Joly-Laugel (2020)
 <doi:10.5194/nhess-20-2091-2020> Supporting references for the conditional
 extremes model, Jt-KDE model and for copula modelling are the following:
 Heffernan and Tawn (2004) <doi:10.1111/j.1467-9868.2004.02050.x> Cooley,
 Thibaud, Castillo and Wehner (2019) <doi:10.1007/s10687-019-00348-0> Nelsen
 (2006) <doi:10.1007/0-387-28678-0>.

Package: r-cran-mobps
Architecture: all
Version: 1.6.64-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1245
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-emmreml, r-cran-bglr, r-cran-mass, r-cran-dompi, r-cran-dorng, r-cran-foreach, r-cran-sommer, r-cran-vcfr, r-cran-jsonlite, r-cran-rrblup, r-bioc-biomart, r-cran-matrix, r-cran-doparallel, r-cran-rcolorbrewer, r-cran-optisel, r-cran-nam, r-cran-gplots, r-cran-phylogram, r-cran-cpcg
Filename: pool/dists/focal/main/r-cran-mobps_1.6.64-1.ca2004.1_all.deb
Size: 1199048
MD5sum: 77e150e6cc580e85e5a523e17d45741f
SHA1: 4fd70c80cdf161edf1d122160e36dcabcd76af07
SHA256: 93eb661875fb5a2861f65915fe9dd7faca2dbd6a5fb41e9226135c16268bc859
SHA512: 6305dc1de10418d4d6b70592ba1964b794a570785756f67580c1ce70307829c0d546a2d9682b4e387f949dd5b493f22485e633f52b85d0735c8d734c424ebd6c
Homepage: https://cran.r-project.org/package=MoBPS
Description: CRAN Package 'MoBPS' (Modular Breeding Program Simulator)
 Framework for the simulation framework for the simulation of complex
 breeding programs and compare their economic and genetic impact. The package
 is also used as the background simulator for our a web-based interface
 <http:www.mobps.de>. Associated publication: Pook et al. (2020)
 <doi:10.1534/g3.120.401193>.

Package: r-cran-mobr
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 838
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotrix, r-cran-scales, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-pbapply, r-cran-ggplot2, r-cran-egg, r-cran-tibble, r-cran-vctrs, r-cran-rlang, r-cran-geosphere, r-cran-scam, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mobr_3.0.0-1.ca2004.1_all.deb
Size: 769220
MD5sum: 292cf01e055515bcd4846ea49c861f08
SHA1: a9169fdb9fb8a4bff4451e4a0697c0c5beb849fe
SHA256: 3a933d3a16fcc4148f9155ee8b859d9e1ba5ede4cf347ab43be22bd16edf2131
SHA512: b95449baaccb9adb9c0700154de0739224253e9afa4e5325092fbc00c5291445feba4215301faad119b419c37cafa2f8ca6bea17d9f7553a8ef2db9440000524
Homepage: https://cran.r-project.org/package=mobr
Description: CRAN Package 'mobr' (Measurement of Biodiversity)
 Functions for calculating metrics for the measurement biodiversity and its
 changes across scales, treatments, and gradients. The methods implemented in
 this package are described in: Chase, J.M., et al. (2018)
 <doi:10.1111/ele.13151>, McGlinn, D.J., et al. (2019)
 <doi:10.1111/2041-210X.13102>, McGlinn, D.J., et al. (2020)
 <doi:10.1101/851717>, and McGlinn, D.J., et al. (2023)
 <doi:10.1101/2023.09.19.558467>.

Package: r-cran-moc.gapbk
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-amap, r-cran-nsga2r, r-cran-foreach, r-cran-doparallel, r-cran-dosnow, r-cran-dompi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-moc.gapbk_0.1.3-1.ca2004.1_all.deb
Size: 48356
MD5sum: b1fe06e3cb5ed2037a6b819e13dc2d2e
SHA1: 785159aa01d77865665130cc46ee5abf405909e6
SHA256: 1f086d6d59e2085061de946fa736f2cc2e419288a42435e13c20af6cd977bd93
SHA512: 55f5a32b65850d974cd255948151d1bf9a9d84c10075534981886a4e2b04c6467afc7e8a36436c8d9fbbf29bd720edfac000a0c1c057001708d683ae776251ee
Homepage: https://cran.r-project.org/package=moc.gapbk
Description: CRAN Package 'moc.gapbk' (Multi-Objective Clustering Algorithm Guided by a-PrioriBiological Knowledge)
 Implements the Multi-Objective Clustering Algorithm Guided by a-Priori
 Biological Knowledge (MOC-GaPBK) which was proposed by Parraga-Alava, J. et.
 al. (2018) <doi:10.1186/s13040-018-0178-4>.

Package: r-cran-mocca
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cclust, r-cran-clue, r-cran-cluster, r-cran-class
Filename: pool/dists/focal/main/r-cran-mocca_1.4-1.ca2004.1_all.deb
Size: 48732
MD5sum: 1bf70095333c57c2212a4764d71fae82
SHA1: 4c5219eaf409145caf697cbceedb32c1d8bdcec0
SHA256: e666e67fccfaf5f3f02bc9355434be87f09d7d0fffe8426175d39a3f7320596f
SHA512: fb02b391f421e99c0030e81d352947ee635e66d6a6aaa7f6b4946723b17ce98f79ef70f4f3d10c72e81817da1f481c84ec0ddba3870d7c63e92cb518736764d7
Homepage: https://cran.r-project.org/package=MOCCA
Description: CRAN Package 'MOCCA' (Multi-Objective Optimization for Collecting Cluster Alternatives)
 Provides methods to analyze cluster alternatives based on multi-objective
 optimization of cluster validation indices. For details see Kraus et al.
 (2011) <doi:10.1007/s00180-011-0244-6>.

Package: r-cran-mocha
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4563
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-bioc-plyranges, r-cran-dplyr, r-bioc-genomicranges, r-bioc-raggedexperiment, r-bioc-multiassayexperiment, r-bioc-summarizedexperiment, r-cran-stringr, r-bioc-ggbio, r-cran-wcorr, r-cran-magrittr, r-cran-rlang, r-bioc-annotationdbi, r-bioc-biocgenerics, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-iranges, r-bioc-s4vectors, r-cran-assertthat, r-bioc-ensembldb, r-cran-ggplot2, r-cran-ggrepel, r-cran-matrixstats, r-bioc-qvalue, r-cran-scales, r-cran-tidyr, r-cran-ggridges, r-cran-pbapply, r-bioc-bsgenome, r-cran-tidyselect, r-cran-lifecycle
Suggests: r-cran-rmariadb, r-bioc-motifmatchr, r-cran-biocmanager, r-bioc-txdb.hsapiens.ucsc.hg38.refgene, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-bioc-org.hs.eg.db, r-bioc-bsgenome.hsapiens.ucsc.hg19, r-cran-withr, r-cran-knitr, r-cran-rmarkdown, r-bioc-chromvar, r-cran-testthat, r-cran-uwot, r-cran-irlba, r-cran-glmmtmb, r-cran-matrix, r-cran-waldo, r-cran-purrr, r-cran-lmertest, r-bioc-biobase, r-cran-lme4, r-cran-zip, r-bioc-rtracklayer, r-cran-cowplot, r-cran-mixtools, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-mocha_1.1.0-1.ca2004.1_all.deb
Size: 4415004
MD5sum: db4e45f640f1655a8b7b2849ec236d00
SHA1: 4930cca0b71a54fcb90630f46337f0f35dcfb16d
SHA256: bb6270f61975ead9f2cb84ded56e42beb4c54c4dbd8dfb8f13000ddcb7197bf9
SHA512: 1730dce00b2d8c39629bdea89848ba064b192a69fd627754c6af2a203825a12497c8a3e743d8b22383930be23aa689c85fc520bf223422a35b2217b835ee682d
Homepage: https://cran.r-project.org/package=MOCHA
Description: CRAN Package 'MOCHA' (Modeling for Single-Cell Open Chromatin Analysis)
 A statistical framework and analysis tool for open chromatin analysis
 designed specifically for single cell ATAC-seq (Assay for
 Transposase-Accessible Chromatin) data, after cell type/cluster
 identification. These novel modules remove unwanted technical variation,
 identify open chromatin, robustly models repeated measures in single cell
 data, implement advanced statistical frameworks to model zero-inflation for
 differential and co-accessibility analyses, and integrate with existing
 databases and modules for downstream analyses to reveal biological insights.
 MOCHA provides a statistical foundation for complex downstream analysis to
 help advance the potential of single cell ATAC-seq for applied studies.
 Methods for zero-inflated statistics are as described in: Ghazanfar, S.,
 Lin, Y., Su, X. et al. (2020) <doi:10.1038/s41592-020-0885-x>.  Pimentel,
 Ronald Silva, "Kendall's Tau and Spearman's Rho for Zero-Inflated Data"
 (2009) <https://scholarworks.wmich.edu/dissertations/721/>.

Package: r-cran-mockery
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-testthat
Suggests: r-cran-knitr, r-cran-r6, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mockery_0.4.4-1.ca2004.1_all.deb
Size: 40608
MD5sum: dffc5c05fbac5b2cebd4a1748d67dc19
SHA1: 4e7204805009027eb5b2c069aa7090cb3316d83c
SHA256: 87e25b4a2dbced4c8378a2af35e28c84b3db2d2e9aa9da93c33f498a35fab234
SHA512: e2d71d42b32a6084c319db5d1258d22aab19d7af7e5883ab14fc483fd395d39f7b641bc4ebc3df5e697eeee11b64e5998d04dab3cbc21562032a52417ef4a758
Homepage: https://cran.r-project.org/package=mockery
Description: CRAN Package 'mockery' (Mocking Library for R)
 The two main functionalities of this package are creating mock objects
 (functions) and selectively intercepting calls to a given function that
 originate in some other function. It can be used with any testing framework
 available for R. Mock objects can be injected with either this package's own
 stub() function or a similar with_mock() facility present in the 'testthat'
 package.

Package: r-cran-mockr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-withr
Suggests: r-cran-covr, r-cran-fs, r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-mockr_0.2.2-1.ca2004.1_all.deb
Size: 41856
MD5sum: 74f4ce956adbce45a83bcbcbb8c88f3e
SHA1: 4657b26c2ea2c97b4353af50c1d7ff4dd5b93d5c
SHA256: 3dc2874de4f9670b07a1bad6f46b88b554d9f2582025e6e90d530d2ccc320a39
SHA512: 027f4a10269ef5e20d175b1b2104b974a7622fddae97b8d9e4a82814046b775254da58908e4b1267d05c5f7dcd20bd5dd95a13e9415fadc0f33f489bc0750b2b
Homepage: https://cran.r-project.org/package=mockr
Description: CRAN Package 'mockr' (Mocking in R)
 Provides a means to mock a package function, i.e., temporarily substitute it
 for testing. Designed as a drop-in replacement for the now deprecated
 'testthat::with_mock()' and 'testthat::local_mock()'.

Package: r-cran-mockthat
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-pkgload, r-cran-curl, r-cran-jsonlite, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mockthat_0.2.8-1.ca2004.1_all.deb
Size: 36392
MD5sum: f61ca2e75c7b9daaa43da6155db2851d
SHA1: aef38a986f54378098ddce85b9f5562bfa4d2d75
SHA256: b207606c8199d75a4d34fd25525c121c1291dfe6780559f5f76569c397d6a04d
SHA512: 5b112194496024b7e9308c3dbc558ab30c3dccf44e2cf750cf45d78cfcf34317c39198917220378ba224b46974764f2a48faa9fe83c3a0ae1dd1dedcd98e76dc
Homepage: https://cran.r-project.org/package=mockthat
Description: CRAN Package 'mockthat' (Function Mocking for Unit Testing)
 With the deprecation of mocking capabilities shipped with 'testthat' as of
 'edition 3' it is left to third-party packages to replace this
 functionality, which in some test-scenarios is essential in order to run
 unit tests in limited environments (such as no Internet connection).
 Mocking in this setting means temporarily substituting a function with a
 stub that acts in some sense like the original function (for example by
 serving a HTTP response that has been cached as a file). The only exported
 function 'with_mock()' is modeled after the eponymous 'testthat' function
 with the intention of providing a drop-in replacement.

Package: r-cran-mod09nrt
Architecture: all
Version: 0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mod09nrt_0.14-1.ca2004.1_all.deb
Size: 33200
MD5sum: a399547953fe42592e04fc7dccf1951e
SHA1: 24d5a7c691ea1f4d6bc7927591f552d5327b7a06
SHA256: 1127cba9408adbed6857f1e0e75d7b75705f580aacd5249597c9d1d2d1ac1317
SHA512: 34819adfc344b1e0f8ec29368d6f155224473b450b96afb2a9b0f66126fbf02b15db32373561d542310eb07f1318b726cc2a938d1ffcf8d0d8325fc5fe671257
Homepage: https://cran.r-project.org/package=mod09nrt
Description: CRAN Package 'mod09nrt' (Extraction of Bands from MODIS Surface Reflectance Product MOD09NRT)
 Package for processing downloaded MODIS Surface reflectance Product HDF
 files. Specifically, MOD09 surface reflectance product files, and the
 associated MOD03 geolocation files (for MODIS-TERRA). The package will be
 most effective if the user installs MRTSwath (MODIS Reprojection Tool for
 swath products;
 <https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath>, and adds the
 directory with the MRTSwath executable to the default R PATH by editing
 ~/.Rprofile.

Package: r-cran-mod2rm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-mod2rm_0.2.1-1.ca2004.1_all.deb
Size: 52136
MD5sum: 55cb712d60ce2ac8ac9c7f0f9ddaea8a
SHA1: c00c933d746f17caf95d7c5bf0d419e1ee0aed08
SHA256: 8fd9db7711ea776678ca48a4b89655417e940dbe871020d524aebd8de8fcd8a4
SHA512: da70a4bce28fbd5abf771b4f6a76b71ad4c6bf6411da11c873d89d7741f3af991e5a065feb4829f56897183c12d419675d64dad03948f8d5060e160f613446bc
Homepage: https://cran.r-project.org/package=mod2rm
Description: CRAN Package 'mod2rm' (Moderation Analysis for Two-Instance Repeated Measures Designs)
 Multiple moderation analysis for two-instance repeated measures designs,
 with up to three simultaneous moderators (dichotomous and/or continuous)
 with additive or multiplicative relationship. Includes analyses of simple
 slopes and conditional effects at (automatically determined or manually set)
 values of the moderator(s), as well as an implementation of the
 Johnson-Neyman procedure for determining regions of significance in single
 moderator models. Based on Montoya, A. K. (2018) "Moderation analysis in
 two-instance repeated measures designs: Probing methods and multiple
 moderator models" <doi:10.3758/s13428-018-1088-6> .

Package: r-cran-mod
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mod_0.1.3-1.ca2004.1_all.deb
Size: 46848
MD5sum: f3f3357805014f5bdc5bba31c7c1d8fe
SHA1: 757cd891aa9830273e685bfa9257bf325439e7bf
SHA256: 6b83b88d50777046ce4d542cdc3ee8c43d69cc9ae61d7c6196325c18ee4ce89f
SHA512: 38cf478d24c261d04ef5fc4fb485508c59d436d3f9cb1f1b06790a07a7fda7eda436afa97a970790c7fe8685b1502a72ee13e17f58383cdfe3dd33f979475ba4
Homepage: https://cran.r-project.org/package=mod
Description: CRAN Package 'mod' (Lightweight and Self-Contained Modules for Code Organization)
 Creates modules inline or from a file. Modules can contain any R object and
 be nested. Each module have their own scope and package "search path" that
 does not interfere with one another or the user's working environment.

Package: r-cran-modacdc
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ccp, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-genieclust, r-cran-genio, r-cran-ggplot2, r-cran-partition, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-cca
Filename: pool/dists/focal/main/r-cran-modacdc_2.0.1-1.ca2004.1_all.deb
Size: 104008
MD5sum: 9a86b09514d84ccb571144ef4023263a
SHA1: 22d96667232eb5d6479fa14ae4e9c675f0423856
SHA256: 999c5be2676f66f4336fd0d840a63ea64dea29f718ada20b085c33e0c01c91d6
SHA512: 9f93d406e29ef06dc6ba674b39d90c5a43c4c56956c12e11f2ecb2322d80639a98e5a39894b5abcd98741411079a387ed47c7440150ba7cf3d34968b99170a25
Homepage: https://cran.r-project.org/package=modACDC
Description: CRAN Package 'modACDC' (Association of Covariance for Detecting DifferentialCo-Expression)
 A series of functions to implement association of covariance for detecting
 differential co-expression (ACDC), a novel approach for detection of
 differential co-expression that simultaneously accommodates multiple
 phenotypes or exposures with binary, ordinal, or continuous data types.
 Users can use the default method which identifies modules by Partition or
 may supply their own modules. Also included are functions to choose an
 information loss criterion (ILC) for Partition using OmicS-data-based
 Complex trait Analysis (OSCA) and Genome-wide Complex trait Analysis (GCTA).
 The manuscript describing these methods is as follows: Queen K, Nguyen MN,
 Gilliland F, Chun S, Raby BA, Millstein J. "ACDC: a general approach for
 detecting phenotype or exposure associated co-expression" (2023)
 <doi:10.3389/fmed.2023.1118824>.

Package: r-cran-modalclust
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-zoo, r-cran-class
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-modalclust_0.7-1.ca2004.1_all.deb
Size: 413400
MD5sum: 7714e7e718f26f3a0da81fc793c4b9fe
SHA1: 055346e15d7a8050199180e498bc2f9c60689438
SHA256: 7d2177a5a9e6b07a63686c506ac5010f9ee8ed6f479a94b604c74b166eee421f
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Homepage: https://cran.r-project.org/package=Modalclust
Description: CRAN Package 'Modalclust' (Hierarchical Modal Clustering)
 Performs Modal Clustering (MAC) including Hierarchical Modal Clustering
 (HMAC) along with their parallel implementation (PHMAC) over several
 processors.  These model-based non-parametric clustering techniques can
 extract clusters in very high dimensions with arbitrary density shapes. By
 default clustering is performed over several resolutions and the results are
 summarised as a hierarchical tree. Associated plot functions are also
 provided. There is a package vignette that provides many examples. This
 version adheres to CRAN policy of not spanning more than two child processes
 by default.

Package: r-cran-modchart
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1642
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dt, r-cran-rcolorbrewer, r-cran-collapsibletree, r-cran-dplyr, r-cran-dygraphs, r-cran-highcharter, r-cran-jsonlite, r-cran-lazyeval, r-cran-leaflet, r-cran-networkd3, r-cran-plotly, r-cran-rgdal, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-sp, r-cran-sparkline, r-cran-sunburstr, r-cran-treemap, r-cran-htmlwidgets, r-cran-magrittr
Suggests: r-cran-modgetxl
Filename: pool/dists/focal/main/r-cran-modchart_0.5-1.ca2004.1_all.deb
Size: 539688
MD5sum: d79242c73a1bcae53d15ce8fdca21945
SHA1: dca9d779829b0bbac67dea621c56adb22590d2f0
SHA256: b8d863eaa951cc74357bb1eff9db6b1ea24be4c8eb6d8929387ce2c7fedfe956
SHA512: 7b3a7cd466d13889aedde641ffd1ff99906c759427fe822a476c849ee5fa26f7abfcd03b60e66bb65dc89d2cc5fcdc09d104cdbdacc05155014b06b51562c47a
Homepage: https://cran.r-project.org/package=modchart
Description: CRAN Package 'modchart' (A 'shiny' Module for Creating Charts of Various Types)
 This is a 'shiny' module that encapsulates various charting options
 available in 'htmlwidgets', and provides options for each type of chart, a
 'crosstalk' like interface for aggregate reports between 'DT' and other
 chart types.

Package: r-cran-modeest
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fbasics, r-cran-stable, r-cran-stabledist, r-cran-statip
Suggests: r-cran-evd, r-cran-knitr, r-cran-mvtnorm, r-cran-testthat, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-modeest_2.4.0-1.ca2004.1_all.deb
Size: 141880
MD5sum: b8dfedf997a9b2d8d38d65035f771648
SHA1: 1d46cb536415221bdcaae0043e89b47bb1e903ef
SHA256: 2edf564f9e8c6795de6166367d2a9876cb973bb6a5b8efa1300fcc9be99e0c5d
SHA512: 5de9090e2d552f0b983de2959bed500a799abf67d5a117f73858adc786c5ed25a8c34588da68d233ca48bae57d6bdf067455af829bb3293cf1aac7bcbcf04a07
Homepage: https://cran.r-project.org/package=modeest
Description: CRAN Package 'modeest' (Mode Estimation)
 Provides estimators of the mode of univariate data or univariate
 distributions.

Package: r-cran-modehunt
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-modehunt_1.0.8-1.ca2004.1_all.deb
Size: 104192
MD5sum: e15062c1244636a57df56076d313c076
SHA1: 069ece286172d80cf02857afd5ec3f3e71825e41
SHA256: f0417e64e79360b66fa7aa6b4bcc3f28aa1bbe932af0339c02babf8a1dc1f915
SHA512: 427ec96253d3d5f641c2aec97f321e3b29243e2356157f7452b90d8078ea018825d2de08134496af2b3b942f236b9f389f56f532b149846a75293955808ea41e
Homepage: https://cran.r-project.org/package=modehunt
Description: CRAN Package 'modehunt' (Multiscale Analysis for Density Functions)
 Given independent and identically distributed observations X(1), ..., X(n)
 from a density f, provides five methods to perform a multiscale analysis
 about f as well as the necessary critical values. The first method,
 introduced in Duembgen and Walther (2008), provides simultaneous confidence
 statements for the existence and location of local increases (or decreases)
 of f, based on all intervals I(all) spanned by any two observations X(j),
 X(k). The second method approximates the latter approach by using only a
 subset of I(all) and is therefore computationally much more efficient, but
 asymptotically equivalent. Omitting the additive correction term Gamma in
 either method offers another two approaches which are more powerful on small
 scales and less powerful on large scales, however, not asymptotically
 minimax optimal anymore. Finally, the block procedure is a compromise
 between adding Gamma or not, having intermediate power properties. The
 latter is again asymptotically equivalent to the first and was introduced in
 Rufibach and Walther (2010).

Package: r-cran-model4you
Architecture: all
Version: 0.9-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-partykit, r-cran-sandwich, r-cran-ggplot2, r-cran-formula, r-cran-gridextra, r-cran-survival
Suggests: r-cran-mvtnorm, r-cran-th.data, r-cran-psychotools, r-cran-strucchange, r-cran-plyr, r-cran-knitr, r-cran-ggbeeswarm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-model4you_0.9-8-1.ca2004.1_all.deb
Size: 150812
MD5sum: fb81e1d456cb50805d03c827b42056df
SHA1: c68c3b34f7eeba78bb2e1408ac87da67c2961074
SHA256: 6f4cb8a83a0339df7cbb5267abf4a22ef75e0b9c9bf8049feb58fbab82e3a9e3
SHA512: 5f159b798dea0b4a4f296de4434c5829264a6761772f4849728d84871c192007c0cf331ef3d08d3522b7b980a8aa2a4c51752070a4f8c569ae544280bb5da618
Homepage: https://cran.r-project.org/package=model4you
Description: CRAN Package 'model4you' (Stratified and Personalised Models Based on Model-Based Treesand Forests)
 Model-based trees for subgroup analyses in clinical trials and model-based
 forests for the estimation and prediction of personalised treatment effects
 (personalised models). Currently partitioning of linear models, lm(),
 generalised linear models, glm(), and Weibull models, survreg(), is
 supported.  Advanced plotting functionality is supported for the trees and a
 test for parameter heterogeneity is provided for the personalised models.
 For details on model-based trees for subgroup analyses see Seibold, Zeileis
 and Hothorn (2016) <doi:10.1515/ijb-2015-0032>; for details on model-based
 forests for estimation of individual treatment effects see Seibold, Zeileis
 and Hothorn (2017) <doi:10.1177/0962280217693034>.

Package: r-cran-modelbased
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1013
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-datawizard, r-cran-insight, r-cran-parameters
Suggests: r-cran-bh, r-cran-betareg, r-cran-boot, r-cran-bootes, r-cran-brms, r-cran-coda, r-cran-collapse, r-cran-correlation, r-cran-curl, r-cran-easystats, r-cran-effectsize, r-cran-emmeans, r-cran-formula, r-cran-gamm4, r-cran-gganimate, r-cran-ggplot2, r-cran-glmmtmb, r-cran-httr2, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-logspline, r-cran-mass, r-cran-matrix, r-cran-marginaleffects, r-cran-mice, r-cran-mgcv, r-cran-nanoparquet, r-cran-ordinal, r-cran-palmerpenguins, r-cran-performance, r-cran-patchwork, r-cran-pbkrtest, r-cran-poorman, r-cran-pscl, r-cran-rcppeigen, r-cran-report, r-cran-rmarkdown, r-cran-rstanarm, r-cran-rtdists, r-cran-rwiener, r-cran-sandwich, r-cran-see, r-cran-survival, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-modelbased_0.11.2-1.ca2004.1_all.deb
Size: 801828
MD5sum: 0ff322b9f93d21c5ff2e296191c6f452
SHA1: 7a7f6124c16aab57053b0c640be9973b50980429
SHA256: 685b5f79a72aa5aa0ed09f06f7534c2374de0e539f10c72d57c50bd69aa437df
SHA512: dd680181460aad8da56bab91b65928bd8c3a599f98ce300eda65e9f6234203df7e39fc46de05ea0e2fac9e59f8a02ef1f26c881d62e062134ea9494dd1ada812
Homepage: https://cran.r-project.org/package=modelbased
Description: CRAN Package 'modelbased' (Estimation of Model-Based Predictions, Contrasts and Means)
 Implements a general interface for model-based estimations for a wide
 variety of models, used in the computation of marginal means, contrast
 analysis and predictions. For a list of supported models, see
 'insight::supported_models()'.

Package: r-cran-modelbpp
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-pbapply, r-cran-igraph, r-cran-manymome
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-modelbpp_0.1.5-1.ca2004.1_all.deb
Size: 933280
MD5sum: 6eadb5d433d78518bea8d417c6082e93
SHA1: b4d0ced9d0a83401758261a4c0f554eee84c9122
SHA256: 2073dc2e5a37744ba3e2d2b2e3620235561d4bf670e77bb36de3d8988add60d5
SHA512: 8a9541b19933b6a4264e8bed8c3725a4d794db59e184b89d0612f6aa2f8a838c73f8e40002db8848ea43244de3c25573386831d7f0dda9151182a20a09f17f15
Homepage: https://cran.r-project.org/package=modelbpp
Description: CRAN Package 'modelbpp' (Model BIC Posterior Probability)
 Fits the neighboring models of a fitted structural equation model and
 assesses the model uncertainty of the fitted model based on BIC posterior
 probabilities, using the method presented in Wu, Cheung, and Leung (2020)
 <doi:10.1080/00273171.2019.1574546>.

Package: r-cran-modelc
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modelc_1.0.0.0-1.ca2004.1_all.deb
Size: 38532
MD5sum: df92d03a28ccf7d815319be68833e107
SHA1: 79861a127845ee7b59f773618e015a90a048c953
SHA256: fc7769345a5a6b08dea072840226060caefebf08a8207e681b52de6c9e771ef5
SHA512: de8ee9c344987b0109c6165566b7280d8d5aded486b8737e6a3fad7d5c171df70a14e132e4de8e52eb057bd0209393cde4436b5b469a535e1030fa7cd9a193ba
Homepage: https://cran.r-project.org/package=modelc
Description: CRAN Package 'modelc' (A Linear Model to 'SQL' Compiler)
 This is a cross-platform linear model to 'SQL' compiler. It generates 'SQL'
 from linear and generalized linear models. Its interface consists of a
 single function, modelc(), which takes the output of lm() or glm() functions
 (or any object which has the same signature) and outputs a 'SQL' character
 vector representing the predictions on the scale of the response variable as
 described in Dunn & Smith (2018) <doi:10.1007/978-1-4419-0118-7> and
 originating in Nelder & Wedderburn (1972) <doi:10.2307/2344614>. The
 resultant 'SQL' can be included in a 'SELECT' statement and returns output
 similar to that of the glm.predict() or lm.predict() predictions, assuming
 numeric types are represented in the database using sufficient precision.
 Currently log and identity link functions are supported.

Package: r-cran-modelcharts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-modelcharts_0.1.0-1.ca2004.1_all.deb
Size: 18864
MD5sum: da6b82e93e55f3ce84f86ba63a668194
SHA1: 425c333ed3ab00f4d860495a007b313855b61176
SHA256: 3ad4161024c11b8101b9f457cec03584ab4b844ac612fabf4f3dc97ad26b6582
SHA512: a6683589eae5d62c06324f9a6fc04b2cab174dd4aca4174abe78f437a959696a98994921941bc62819b9a6b66b620dbd792256e4c871a7277195c2f565a911b8
Homepage: https://cran.r-project.org/package=Modelcharts
Description: CRAN Package 'Modelcharts' (Classification Model Charts)
 Provides two important functions for producing Gain chart and Lift chart for
 any classification model.

Package: r-cran-modeldata
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5078
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-modeldata_1.4.0-1.ca2004.1_all.deb
Size: 5156364
MD5sum: e6993251e833bf8841c8862776a9f486
SHA1: 50eca91bba76a6d75c8d7891fce2011456e01887
SHA256: 9719d20fb54064837cd579b324297c59d81cde8de740fe45bd1772f0d9a982bb
SHA512: f47bfa77d55c47b5b956952960f036ac6004780f8e02d32f29dbb696772ae056c012e480aea793ef3fa625eef2ad83a56112cf566dfe1223014ee5336b235f1e
Homepage: https://cran.r-project.org/package=modeldata
Description: CRAN Package 'modeldata' (Data Sets Useful for Modeling Examples)
 Data sets used for demonstrating or testing model-related packages are
 contained in this package.

Package: r-cran-modeldatatoo
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pins
Suggests: r-cran-covr, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modeldatatoo_0.3.0-1.ca2004.1_all.deb
Size: 148156
MD5sum: 8e9f74ea0a3369b95fcfb0d9bfc4e0f9
SHA1: bd3b11bba74a0f38d7e0d85968dd9f423226712e
SHA256: caa6cb85b066df1ea308edff9bb55c22923254d5231ab41d5596194fa38d40fb
SHA512: 03098c65a074a7a58a7f300bbb96e07fb0b4b011073bf110a1eb68f072a874674d81137367c8ca74b17ba72499370414f46348caeb0142f1d665e6ee89859d2d
Homepage: https://cran.r-project.org/package=modeldatatoo
Description: CRAN Package 'modeldatatoo' (More Data Sets Useful for Modeling Examples)
 More data sets used for demonstrating or testing model-related packages are
 contained in this package. The data sets are downloaded and cached, allowing
 for more and bigger data sets.

Package: r-cran-modeldb
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidypredict
Suggests: r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-knitr, r-cran-nycflights13, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modeldb_0.3.0-1.ca2004.1_all.deb
Size: 360272
MD5sum: 26b48547fe2a1b89a1f238bb66e26c8e
SHA1: e63394d8ea4dc8195e98d717eff7cceb7bfe2eef
SHA256: de5221d94be063c2c1b5743cdaad274d734c8217afafa14280cc36fbacec1b6b
SHA512: 05f28df6f0f1ca72b6263799e576a99ac583d46016748824179d15135bb9c66642477a898aff45d4e92b1fad5f31ab095092b5e4b1dd24a54629683340ce9f84
Homepage: https://cran.r-project.org/package=modeldb
Description: CRAN Package 'modeldb' (Fits Models Inside the Database)
 Uses 'dplyr' and 'tidyeval' to fit statistical models inside the database.
 It currently supports KMeans and linear regression models.

Package: r-cran-modeldown
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dalex, r-cran-auditor, r-cran-ggplot2, r-cran-whisker, r-cran-dt, r-cran-kableextra, r-cran-archivist, r-cran-svglite, r-cran-breakdown, r-cran-drifter
Suggests: r-cran-ranger, r-cran-testthat, r-cran-useful
Filename: pool/dists/focal/main/r-cran-modeldown_1.1-1.ca2004.1_all.deb
Size: 47220
MD5sum: bd2800449cbd538206099d7bdc08edd9
SHA1: 0d1e43fe4c5c7a2d44ed9a50d73fc142ca2fa90e
SHA256: 7f4f5ae42184bc054dc2f0ffdc6da5dc0e99bad4788b1562cd85622ca8c2eac0
SHA512: 1a5001fdfdb8065b903da80714399e4dbeffcfdcee431b78fff07515f091c2eacacd8c0c38831746732f8c5a9dcf8f07bd87194e9575378393ef4396e782f130
Homepage: https://cran.r-project.org/package=modelDown
Description: CRAN Package 'modelDown' (Make Static HTML Website for Predictive Models)
 Website generator with HTML summaries for predictive models.  This package
 uses 'DALEX' explainers to describe global model behavior.  We can see how
 well models behave (tabs: Model Performance, Auditor), how much each
 variable contributes to predictions (tabs: Variable Response) and which
 variables are the most important for a given model (tabs: Variable
 Importance).  We can also compare Concept Drift for pairs of models (tabs:
 Drifter).  Additionally, data available on the website can be easily
 recreated in current R session.  Work on this package was financially
 supported by the NCN Opus grant 2017/27/B/ST6/01307 at Warsaw University of
 Technology, Faculty of Mathematics and Information Science.

Package: r-cran-modelenv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modelenv_0.2.0-1.ca2004.1_all.deb
Size: 99944
MD5sum: 8b4355b4cae31e4c7faf4fb42877d298
SHA1: 047e586545f4b44bc312a3f6e0dbcb6b2a9dbca8
SHA256: 3e088b65bcf947263802061788210709fdef6686277f8fc47a4d10bd7e587f61
SHA512: e1343621ec876fcd20cd0be210c980d0e5953550f6fe64b26adc79dabceb1c1c12d41dbc4efd766c8abe0ce25caac2fd696c2d67586e631a296e1aa0a48b2f0f
Homepage: https://cran.r-project.org/package=modelenv
Description: CRAN Package 'modelenv' (Provide Tools to Register Models for Use in 'tidymodels')
 An developer focused, low dependency package in 'tidymodels' that provides
 functions to register how models are to be used. Functions to register
 models are complimented with accessor functions to retrieve registered model
 information to aid in model fitting and error handling.

Package: r-cran-modeler
Architecture: all
Version: 3.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1505
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-classdiscovery, r-cran-classcomparison, r-cran-oompabase, r-cran-class, r-cran-rpart, r-cran-tailrank, r-cran-e1071, r-cran-randomforest, r-cran-nnet, r-cran-neuralnet
Suggests: r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-modeler_3.4.9-1.ca2004.1_all.deb
Size: 1281288
MD5sum: 25d7ea97fa5b3cd65c4a633006811e88
SHA1: d186577f72516e33ed55af74ccadae14fefb406c
SHA256: b3aa68d2cd701a0a860c1c98f091ea34b5f7578be71b1ef8d33c56260008770c
SHA512: 1bad824298590607e70fd78c89ca614ea20dddca3e3fb203206e6ad2b1fb60dd1a7362e1216ea8dc4d7a132069367d13eb469345a9de03230e7363bb8fd393fa
Homepage: https://cran.r-project.org/package=Modeler
Description: CRAN Package 'Modeler' (Classes and Methods for Training and Using Binary PredictionModels)
 Defines classes and methods to learn models and use them to predict binary
 outcomes.  These are generic tools, but we also include specific examples
 for many common classifiers.

Package: r-cran-modelfactory
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-tibble
Suggests: r-cran-testthat, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-modelfactory_1.0.0-1.ca2004.1_all.deb
Size: 18176
MD5sum: 635876b5b858c02e1c3a8ca607680c71
SHA1: 838ba4c1c1424cfe4309a9e2c2746581a09c10b9
SHA256: b3de70f14c24a758051691064e6153c7f6354cbacb8d43e82f7920121769592f
SHA512: a678c164d7c9de25ea8b978b3c277c50fa6e5d61b0f72a2b56e8fce0ff7f0b34f2c1fbe77f48363aeb7519b76bd502b547fdf95b0595d44e9c01f61eaa4ed419
Homepage: https://cran.r-project.org/package=modelfactory
Description: CRAN Package 'modelfactory' (Combine Statistical Models into a Tibble for Comparison)
 Statisticians often want to compare the fit of different models on the same
 data set. However, this usually involves a lot of manual code to fish items
 out of summary() or plain model objects. 'modelfactory' offers the
 capability to pass multiple models in and get out metrics or coefficients
 for quick comparison with easy-to-remember syntax.

Package: r-cran-modelfree
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sparsem, r-cran-polynomf
Filename: pool/dists/focal/main/r-cran-modelfree_1.2.1-1.ca2004.1_all.deb
Size: 221316
MD5sum: 58bd708a409f4b1d6e0a3233ea1b8026
SHA1: 1f32f5a468944a02e3fa2b49425f02d6a9623ae3
SHA256: eb7ffeada4906e04413a9b75223f2f11635542af14e0170b54f4b9f7552be96d
SHA512: 948b0723750edbc4b28012893b5a7e099070d7f6c58df47f9b47e65518761f681ff2ff9d2acadb9ff5246c17676c9910483a8ce260de810461e53a861f830263
Homepage: https://cran.r-project.org/package=modelfree
Description: CRAN Package 'modelfree' (Model-Free Estimation of a Psychometric Function)
 Local linear estimation of psychometric functions. Provides functions for
 nonparametric estimation of a psychometric function and for estimation of a
 derived threshold and slope, and their standard deviations and confidence
 intervals.For more details see Zychaluk and Foster (2009)
 <doi:10.3758/APP.71.6.1414> and Foster and Zychaluk (2007)
 <doi:10.1109/MSP.2007.4286564>.

Package: r-cran-modelgrid
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-purrr, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-recipes
Filename: pool/dists/focal/main/r-cran-modelgrid_1.2.0-1.ca2004.1_all.deb
Size: 55992
MD5sum: 13a28a39e2f1268442652c31e822494f
SHA1: b577040f31fdf5b1a86ff3274faec8600274d853
SHA256: 75b35e54ae35fd1a51c0710cb80962155b52e34da3e10cacdb75cf17fcdd2b76
SHA512: dc79da3bfafe3fbcbd6660e173f2a4e8f8269f60ba8f711ead8a5cfa750c016e49adc6509a6f19ccb8316f3daee774dc6a19eb20e4478842050df9b559c32888
Homepage: https://cran.r-project.org/package=modelgrid
Description: CRAN Package 'modelgrid' (A Framework for Creating, Managing and Training Multiple 'caret'Models)
 A minimalistic but flexible framework that facilitates the creation,
 management and training of multiple 'caret' models. A model grid consists of
 two components, (1) a set of settings that is shared by all models by
 default, and (2) specifications that apply only to the individual models.
 When the model grid is trained, model and training specifications are first
 consolidated from the shared and the model specific settings into complete
 'caret' model configurations. These models are then trained with the
 'train()' function from the 'caret' package.

Package: r-cran-modelimpact
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-modelimpact_1.0.0-1.ca2004.1_all.deb
Size: 167144
MD5sum: 5e9c144046d3f0edb06446423350ecf3
SHA1: ffeded9a665f9f35ac5eddd24b6617a0ae1fdc29
SHA256: c342ce7f70e8f05eb7755066716067cb5d1e13d0920e9acbb0b46e506443f573
SHA512: eef82bd857d3317d3669e4bd9464c097ec1bf6cd0a26b335b0bb7f63c59153b4dbf9556bb92579490246c6149c88280a050e5737b12a5cd5f3308bcbf2ca48f6
Homepage: https://cran.r-project.org/package=modelimpact
Description: CRAN Package 'modelimpact' (Functions to Assess the Business Impact of Churn PredictionModels)
 Calculate the financial impact of using a churn model in terms of cost,
 revenue, profit and return on investment.

Package: r-cran-modelmap
Architecture: all
Version: 3.4.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2653
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-randomforest, r-cran-raster, r-cran-mgcv, r-cran-corrplot, r-cran-fields, r-cran-handtill2001, r-cran-presenceabsence
Suggests: r-cran-party, r-cran-quantregforest
Filename: pool/dists/focal/main/r-cran-modelmap_3.4.0.4-1.ca2004.1_all.deb
Size: 1585588
MD5sum: d15eb1c4c04a5a97ba7fac41e3771b1d
SHA1: 0de59378d1957814038b164abbee21800f210f7b
SHA256: bcf239f77b8a7d304bc2d0243f2241091a57ce0a3c5a24b3873cf76f4a5753f7
SHA512: 952734d19cdb01f68f5223e483fc40049ae62bb57569f37c314b2c8de6dae4d791db6b283b5353c8dcda2c732ebfbcddb40b779486027eaee059566e2a0d12ac
Homepage: https://cran.r-project.org/package=ModelMap
Description: CRAN Package 'ModelMap' (Modeling and Map Production using Random Forest and RelatedStochastic Models)
 Creates sophisticated models of training data and validates the models with
 an independent test set, cross validation, or Out Of Bag (OOB) predictions
 on the training data. Create graphs and tables of the model validation
 results. Applies these models to GIS .img files of predictors to create
 detailed prediction surfaces. Handles large predictor files for map making,
 by reading in the .img files in chunks, and output to the .txt file the
 prediction for each data chunk, before reading the next chunk of data.

Package: r-cran-modelmatrixmodel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-modelmatrixmodel_0.1.0-1.ca2004.1_all.deb
Size: 30772
MD5sum: f36b0035438c43bd9084155cba321831
SHA1: 43eca45c6ac6e8c3110e38c656c7c2a017146c4a
SHA256: 58850072e02cefbcb816b4174aadcc38464eb9e9483fbad75fe16540ec5f4631
SHA512: 711d8f357633db9e7c8320ef85832342f7a3dc0eadf1460f78dc24e7d1b73fe347ced01cbb533c265dc0330802d49b0fad91800de91cdc414ce826b4a543a965
Homepage: https://cran.r-project.org/package=ModelMatrixModel
Description: CRAN Package 'ModelMatrixModel' (Create Model Matrix and Save the Transforming Parameters)
 The model.matrix() function in R is convenient for transforming training
 dataset for modeling.  But it does not save any parameter used in
 transformation, so it is hard to apply the same transformation to test
 dataset or new dataset. This package is created to solve the problem.

Package: r-cran-modelobj
Architecture: all
Version: 4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-modelobj_4.3-1.ca2004.1_all.deb
Size: 526572
MD5sum: c3b5315d9cbf6351ca11a4c6534c15fb
SHA1: 37479a616d0494867fec93b65be49653a3494957
SHA256: bc595077687c7e517807db4ccc448184203a1736e22b679c8ba003bba5b03442
SHA512: c9335fce2283337855eaae16a183760194882c03b08c394bca15703553750c1f830ce07b8866dafd1312ec705d9e9916231f5ae62987f2d11e690c56c427d98b
Homepage: https://cran.r-project.org/package=modelObj
Description: CRAN Package 'modelObj' (A Model Object Framework for Regression Analysis)
 A utility library to facilitate the generalization of statistical methods
 built on a regression framework. Package developers can use 'modelObj'
 methods to initiate a regression analysis without concern for the details of
 the regression model and the method to be used to obtain parameter
 estimates. The specifics of the regression step are left to the user to
 define when calling the function. The user of a function developed within
 the 'modelObj' framework creates as input a 'modelObj' that contains the
 model and the R methods to be used to obtain parameter estimates and to
 obtain predictions.  In this way, a user can easily go from linear to
 non-linear models within the same package.

Package: r-cran-modelplotr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-ggfittext, r-cran-scales, r-cran-rlang
Suggests: r-cran-mlr, r-cran-caret, r-cran-randomforest, r-cran-e1071, r-cran-h2o, r-cran-keras, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-xgboost, r-cran-stringr, r-cran-kableextra, r-cran-lattice, r-cran-ranger, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-modelplotr_1.1.0-1.ca2004.1_all.deb
Size: 777952
MD5sum: 0c247878afaf09128087cbb72d3b3902
SHA1: d7794125a90fafa8ac2fe7cd286476937120823b
SHA256: a3c54073469ac2c0dab19b5a64b7728c34435058536bc294f6eba33049441db3
SHA512: 29f559092de86e1e02f5d15003e2b53243ff957ef3864f543a21e2fd248ba43fbe4432655482dd226f343d0c4520d161eeccda6d1d9efb5baa461199f1ac66de
Homepage: https://cran.r-project.org/package=modelplotr
Description: CRAN Package 'modelplotr' (Plots to Evaluate the Business Performance of Predictive Models)
 Plots to assess the quality of predictive models from a business
 perspective.  Using these plots, it can be shown how implementation of the
 model will impact business targets like response on a campaign or return on
 investment. Different scopes can be selected: compare models, compare
 datasets or compare target class values and various plot customization and
 highlighting options are available.  targets like response on a campaign.
 Different scopes can be selected: compare models, compare datasets or
 compare target class values and various plot customization and highlighting
 options are available.

Package: r-cran-modelr
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modelr_0.1.11-1.ca2004.1_all.deb
Size: 200288
MD5sum: 6e52db57f7d22429f99ced5ad8b1bd17
SHA1: 12077fcc5b170ac9be363acc7ca67ff87c1f856d
SHA256: 02ce7ce309b4bec5ac166fb09f1bbd14f1d12d49876d7268624cc38c23f03865
SHA512: c5199b056c9c691087980cdda99f645baa566cc4227d04fba47ae12faf3ebeac3d15bdded89c644b909d8ea16c2c37888c2caad75587b524fbe72bf0499c0fe1
Homepage: https://cran.r-project.org/package=modelr
Description: CRAN Package 'modelr' (Modelling Functions that Work with the Pipe)
 Functions for modelling that help you seamlessly integrate modelling into a
 pipeline of data manipulation and visualisation.

Package: r-cran-modelroc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-do, r-cran-tmcn, r-cran-rocit, r-cran-survivalroc
Suggests: r-cran-ggdca, r-cran-rms
Filename: pool/dists/focal/main/r-cran-modelroc_1.0-1.ca2004.1_all.deb
Size: 49000
MD5sum: a0803b724f837c335caca990fc50599e
SHA1: 6a331494abdf9c13e3f6d024d7171bfe17040fbc
SHA256: 3ad5b314e75a3bed82a469df7614e932525f98bd7e7b185c4667f55b1844c714
SHA512: c996db1b5e41f70290a0201125bf85fcf80497acb94596ca0c17d2780666268ee67ba7a0945ca1e83235340d0c65857a41dafeea2377b39b859fe4d9768fa7dc
Homepage: https://cran.r-project.org/package=modelROC
Description: CRAN Package 'modelROC' (Model Based ROC Analysis)
 The ROC curve method is one of the most important and commonly used methods
 for model accuracy assessment, which is one of the most important elements
 of model evaluation.  The 'modelROC' package is a model-based ROC assessment
 tool, which directly works for ROC analysis of regression results for
 logistic regression of binary variables, including the glm() and lrm()
 commands, and COX regression for survival analysis, including the cph() and
 coxph() commands.  The most important feature of 'modelROC' is that both the
 model and the independent variables can be analysed simultaneously, and for
 survival analysis multiple time points and area under the curve analysis are
 supported.  Still, flexible visualisation is possible with the 'ggplot2'
 package.  Reference are Kelly H. Zou (1998)
 <doi:10.1002/(sici)1097-0258(19971015)16:19%3C2143::aid-sim655%3E3.0.co;2-3>
 and P J Heagerty (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.

Package: r-cran-modelsse
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-delaporte
Filename: pool/dists/focal/main/r-cran-modelsse_0.1-3-1.ca2004.1_all.deb
Size: 128116
MD5sum: 7792f359369cfc859ab8d51995d1d88a
SHA1: 6c844049bad6326209da52d2a9a3ee980ab1dd54
SHA256: 35b12b90dd61f19eced0deba5b569e1bc8f2d41f19b6b28d3536da3fa1750dd5
SHA512: 9a0388f5e562c54605167797936c984d26a3a5bb8168e506077b120feb8a94e4e51c6c2468f343fac72bb73d7c9aace5f0dbf623919b0b52850e8bb0c9c60a38
Homepage: https://cran.r-project.org/package=modelSSE
Description: CRAN Package 'modelSSE' (Modelling Infectious Disease Superspreading from Contact TracingData)
 Comprehensive analytical tools are provided to characterize infectious
 disease superspreading from contact tracing surveillance data. The
 underlying theoretical frameworks of this toolkit include branching process
 with transmission heterogeneity (Lloyd-Smith et al. (2005)
 <doi:10.1038/nature04153>), case cluster size distribution (Nishiura et al.
 (2012) <doi:10.1016/j.jtbi.2011.10.039>, Blumberg et al. (2014)
 <doi:10.1371/journal.ppat.1004452>, and Kucharski and Althaus (2015)
 <doi:10.2807/1560-7917.ES2015.20.25.21167>), and decomposition of
 reproduction number (Zhao et al. (2022) <doi:10.1371/journal.pcbi.1010281>).

Package: r-cran-modelstudio
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1405
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dalex, r-cran-ingredients, r-cran-ibreakdown, r-cran-r2d3, r-cran-jsonlite, r-cran-progress, r-cran-digest
Suggests: r-cran-parallelmap, r-cran-ranger, r-cran-xgboost, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-modelstudio_3.1.2-1.ca2004.1_all.deb
Size: 324620
MD5sum: 390baa1e1b1629b1e810237a95f4669d
SHA1: cdaec44f519d36affc8c0c4b3f6cd71a8b05f675
SHA256: 224e0eb04943f813c37cb05d9f3b1fb48e2f22eceb7483edf0f9671615d9e857
SHA512: 07d5c6732135f4119e7dae37fa4f8ae459c2f494348067db6af525f9c3fad5e23dafad6d8c3aeb6ef0ebf6c2790e5b082f06028398e8034d1699a394e1413fb1
Homepage: https://cran.r-project.org/package=modelStudio
Description: CRAN Package 'modelStudio' (Interactive Studio for Explanatory Model Analysis)
 Automate the explanatory analysis of machine learning predictive models.
 Generate advanced interactive model explanations in the form of a serverless
 HTML site with only one line of code. This tool is model-agnostic, therefore
 compatible with most of the black-box predictive models and frameworks. The
 main function computes various (instance and model-level) explanations and
 produces a customisable dashboard, which consists of multiple panels for
 plots with their short descriptions. It is possible to easily save the
 dashboard and share it with others. modelStudio facilitates the process of
 Interactive Explanatory Model Analysis introduced in Baniecki et al. (2023)
 <doi:10.1007/s10618-023-00924-w>.

Package: r-cran-modelsummary
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4674
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-generics, r-cran-glue, r-cran-insight, r-cran-parameters, r-cran-performance, r-cran-tables, r-cran-tinytable
Suggests: r-cran-aer, r-cran-altdoc, r-cran-amelia, r-cran-betareg, r-cran-bookdown, r-cran-brms, r-cran-broom, r-cran-broom.mixed, r-cran-car, r-cran-clubsandwich, r-cran-correlation, r-cran-covr, r-cran-did, r-cran-digest, r-cran-dt, r-cran-estimatr, r-cran-fixest, r-cran-flextable, r-cran-future, r-cran-future.apply, r-cran-gamlss, r-cran-ggdist, r-cran-ggplot2, r-cran-gh, r-cran-gt, r-cran-gtextras, r-cran-haven, r-cran-huxtable, r-cran-labelled, r-cran-irdisplay, r-cran-ivreg, r-cran-kableextra, r-cran-knitr, r-cran-lavaan, r-cran-lfe, r-cran-lme4, r-cran-lmtest, r-cran-magick, r-cran-magrittr, r-cran-marginaleffects, r-cran-mass, r-cran-mgcv, r-cran-mice, r-cran-nlme, r-cran-nnet, r-cran-officer, r-cran-openxlsx, r-cran-pandoc, r-cran-pscl, r-cran-psych, r-cran-randomizr, r-cran-remotes, r-cran-rmarkdown, r-cran-rstanarm, r-cran-rsvg, r-cran-sandwich, r-cran-spelling, r-cran-survey, r-cran-survival, r-cran-tibble, r-cran-tictoc, r-cran-tidyselect, r-cran-tidyverse, r-cran-tinysnapshot, r-cran-tinytest, r-cran-tinytex, r-cran-webshot2, r-cran-wesanderson
Filename: pool/dists/focal/main/r-cran-modelsummary_2.4.0-1.ca2004.1_all.deb
Size: 3512888
MD5sum: 3e6f6190e83254f897f946009e61f493
SHA1: 409057c172d2619e8f2853aaadb423ade4102e14
SHA256: dcb6e66de5c13ab554229753aad79542d781ad88666b4533104930088d3ddbce
SHA512: 7c603477d075fb00a4158b04f58545d02c75e5092142a4af8884734772b1ac7179154d67953ff33e2aa5d8e39070721a1097e09ea01f9f7047686b38d651c780
Homepage: https://cran.r-project.org/package=modelsummary
Description: CRAN Package 'modelsummary' (Summary Tables and Plots for Statistical Models and Data:Beautiful, Customizable, and Publication-Ready)
 Create beautiful and customizable tables to summarize several statistical
 models side-by-side. Draw coefficient plots, multi-level cross-tabs, dataset
 summaries, balance tables (a.k.a. "Table 1s"), and correlation matrices.
 This package supports dozens of statistical models, and it can produce
 tables in HTML, LaTeX, Word, Markdown, PDF, PowerPoint, Excel, RTF, JPG, or
 PNG. Tables can easily be embedded in 'Rmarkdown' or 'knitr' dynamic
 documents. Details can be found in Arel-Bundock (2022)
 <doi:10.18637/jss.v103.i01>.

Package: r-cran-modeltests
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-testthat, r-cran-tibble
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-modeltests_0.1.6-1.ca2004.1_all.deb
Size: 70660
MD5sum: e5d5357081959f6998c422910f2245ee
SHA1: 827553895935eb3e32c1819ef1ee210a6db76861
SHA256: d5a9df7f446110ca14ce053a8d864f420552f1c8d5fe87418d7b91cc75943e16
SHA512: 35df1aaff3af4bae54bf4568760b6b360edc7ec90d897f67ad6be6985cb922cecdacabb763a997c67bce4e26830c50831542357ce0570c897e2d8ad37de8b234
Homepage: https://cran.r-project.org/package=modeltests
Description: CRAN Package 'modeltests' (Testing Infrastructure for Broom Model Generics)
 Provides a number of testthat tests that can be used to verify that tidy(),
 glance() and augment() methods meet consistent specifications. This allows
 methods for the same generic to be spread across multiple packages, since
 all of those packages can make the same guarantees to users about returned
 objects.

Package: r-cran-modeltime.ensemble
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2739
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-modeltime, r-cran-modeltime.resample, r-cran-tune, r-cran-rsample, r-cran-yardstick, r-cran-workflows, r-cran-recipes, r-cran-timetk, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-rlang, r-cran-cli, r-cran-generics, r-cran-magrittr, r-cran-tictoc, r-cran-doparallel, r-cran-foreach, r-cran-glmnet
Suggests: r-cran-gt, r-cran-dials, r-cran-earth, r-cran-testthat, r-cran-tidymodels, r-cran-xgboost, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-modeltime.ensemble_1.0.4-1.ca2004.1_all.deb
Size: 1601780
MD5sum: 6e01dbf8cad022bdab55c0e584aebd20
SHA1: 44be4207c79bc2ae4dd9fbeaca07c7dbc0e0e4fb
SHA256: eb422f178377e22bfe0366e07874563508fda0731c516fef366ca62c6dafd8a4
SHA512: d943b4045c1bb0b945eee95a4913745a740f8e1addd2a33752078ffc01a7831f8e33c70591214d8198ece35abcb85daa8a1547742816e1fb9e9fedd96e897f55
Homepage: https://cran.r-project.org/package=modeltime.ensemble
Description: CRAN Package 'modeltime.ensemble' (Ensemble Algorithms for Time Series Forecasting with Modeltime)
 A 'modeltime' extension that implements time series ensemble forecasting
 methods including model averaging, weighted averaging, and stacking. These
 techniques are popular methods to improve forecast accuracy and stability.

Package: r-cran-modeltime.gluonts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1677
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-modeltime, r-cran-parsnip, r-cran-timetk, r-cran-magrittr, r-cran-rlang, r-cran-reticulate, r-cran-tibble, r-cran-forcats, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-glue, r-cran-fs
Suggests: r-cran-tidyverse, r-cran-tidymodels, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modeltime.gluonts_0.1.0-1.ca2004.1_all.deb
Size: 1055192
MD5sum: f4aea5ae31b78d50efa962b064866888
SHA1: 4dcfeb9b180f549cacdfaa1cf10a286c82abd0b5
SHA256: dea30548d2d46104531460257dedba222b290a69ddf1e96d6ceb35575444387c
SHA512: 8a5a57bf775a0af4bd4aa4160a6b53cf26d191f1b3b296d4b654301e47ece586b32eea7f8eecccf3562ba0e115aa1b045978943c36d6625c5865acc6b24e16fd
Homepage: https://cran.r-project.org/package=modeltime.gluonts
Description: CRAN Package 'modeltime.gluonts' ('GluonTS' Deep Learning)
 Use the 'GluonTS' deep learning library inside of 'modeltime'.  Available
 models include 'DeepAR', 'N-BEATS', and 'N-BEATS' Ensemble.  Refer to
 "GluonTS - Probabilistic Time Series Modeling"
 (<https://ts.gluon.ai/index.html>).

Package: r-cran-modeltime.h2o
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 895
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-modeltime, r-cran-h2o, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-timetk, r-cran-dplyr, r-cran-parsnip, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-glue, r-cran-fs
Suggests: r-cran-tidymodels, r-cran-workflows, r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-modeltime.h2o_0.1.1-1.ca2004.1_all.deb
Size: 857312
MD5sum: 8a588428fa6115e1745b4c3486be7947
SHA1: 09d5d4992bf818f69dbe2ec35cc1c8dfc5ee6b76
SHA256: c01ee5141f0a48d00bd0aa792db33799a34b6b1457df16f5ed5fb5554ffc7e22
SHA512: 90748ae1feb86cb8b725c94b13250cfa950607728861fd95e2b7a973ab285c021101631266d7c0b892494a6237ca31431c497071d9ff294c3472a9f77018eeca
Homepage: https://cran.r-project.org/package=modeltime.h2o
Description: CRAN Package 'modeltime.h2o' (Modeltime 'H2O' Machine Learning)
 Use the 'H2O' machine learning library inside of 'modeltime'.  Available
 models include 'AutoML' for Automatic Machine Learning.  Please see H2O.ai
 for more information <https://github.com/h2oai/h2o-3>.

Package: r-cran-modeltime.resample
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1605
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-modeltime, r-cran-tune, r-cran-rsample, r-cran-workflows, r-cran-parsnip, r-cran-recipes, r-cran-dials, r-cran-yardstick, r-cran-timetk, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-forcats, r-cran-glue, r-cran-stringr, r-cran-ggplot2, r-cran-plotly, r-cran-cli, r-cran-crayon, r-cran-magrittr, r-cran-rlang, r-cran-progressr, r-cran-tictoc, r-cran-hardhat
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-tidymodels, r-cran-tidyverse, r-cran-tidyquant, r-cran-glmnet, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-modeltime.resample_0.2.3-1.ca2004.1_all.deb
Size: 1307632
MD5sum: 4daba5cef1f3f24806d56725dc23db95
SHA1: d8fcbf44bad3c67e48842ebe357f14e27cab44c8
SHA256: b7bd21a639af76480d09fcbd38f19fe294eed54150fe3397ed7ad6fd5c6f7aa0
SHA512: 5f9bf137e77f06a6b02cf3162a2659afbbb99e3ffe2525df0ad6468e94b42b423b9c45887421b1c7d79077ccf1b09b4e4405c90cf056632b6c45c92a78438d3f
Homepage: https://cran.r-project.org/package=modeltime.resample
Description: CRAN Package 'modeltime.resample' (Resampling Tools for Time Series Forecasting)
 A 'modeltime' extension that implements forecast resampling tools that
 assess time-based model performance and stability for a single time series,
 panel data, and cross-sectional time series analysis.

Package: r-cran-modeltime
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3725
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stanheaders, r-cran-timetk, r-cran-parsnip, r-cran-dials, r-cran-yardstick, r-cran-workflows, r-cran-hardhat, r-cran-rlang, r-cran-glue, r-cran-plotly, r-cran-reactable, r-cran-gt, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-forcats, r-cran-scales, r-cran-janitor, r-cran-parallelly, r-cran-doparallel, r-cran-foreach, r-cran-magrittr, r-cran-forecast, r-cran-xgboost, r-cran-prophet, r-cran-cli, r-cran-tidymodels
Suggests: r-cran-rstan, r-cran-slider, r-cran-sparklyr, r-cran-workflowsets, r-cran-recipes, r-cran-rsample, r-cran-tune, r-cran-lubridate, r-cran-testthat, r-cran-kernlab, r-cran-glmnet, r-cran-thief, r-cran-smooth, r-cran-greybox, r-cran-earth, r-cran-randomforest, r-cran-trelliscopejs, r-cran-knitr, r-cran-rmarkdown, r-cran-webshot, r-cran-qpdf, r-cran-tsrepr
Filename: pool/dists/focal/main/r-cran-modeltime_1.3.1-1.ca2004.1_all.deb
Size: 3018412
MD5sum: 280bc7824a9f3047067c91a6cb8a6832
SHA1: dbd83b835a0c1b83414eefa2b74330b39f302175
SHA256: c5d16013ce7b1f443616fa8af74bb3cbc19655c4dcd23ac7f249fbd4d7459640
SHA512: 66394a8463b705a3ddf63d2225862935aad1bf8db21789d587517c51422d23781e64ec8ec75a8be1659b4b7ec1051d93325e185e0cf57917add7ed1db188a83c
Homepage: https://cran.r-project.org/package=modeltime
Description: CRAN Package 'modeltime' (The Tidymodels Extension for Time Series Modeling)
 The time series forecasting framework for use with the 'tidymodels'
 ecosystem.  Models include ARIMA, Exponential Smoothing, and additional time
 series models from the 'forecast' and 'prophet' packages. Refer to
 "Forecasting Principles & Practice, Second edition"
 (<https://otexts.com/fpp2/>).  Refer to "Prophet: forecasting at scale"
 (<https://research.facebook.com/blog/2017/02/prophet-forecasting-at-scale/>.).

Package: r-cran-modeltools
Architecture: all
Version: 0.2-24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-modeltools_0.2-24-1.ca2004.1_all.deb
Size: 228692
MD5sum: 69496fb12ec1a731f83227197e7a2018
SHA1: 4cf784da1560d37c5a377b1fbf45a3a9fe7ec40f
SHA256: 40f83263f4ed34568ffe1f66e00a4a1927cc8a0f2fdd0641524cf9664ab57dc9
SHA512: 4451c024f8ca8e86c9ac9b3fb33a166dd0c7451533fa9a8e2622f98453ef8ada67aa3ab1ba6080cf6f630e2c19c5640c43a16bcd38cbcc75f1e96d69022896a1
Homepage: https://cran.r-project.org/package=modeltools
Description: CRAN Package 'modeltools' (Tools and Classes for Statistical Models)
 A collection of tools to deal with statistical models.  The functionality is
 experimental and the user interface is likely to change in the future. The
 documentation is rather terse, but packages `coin' and `party' have some
 working examples. However, if you find the implemented ideas interesting we
 would be very interested in a discussion of this proposal. Contributions are
 more than welcome!

Package: r-cran-modelwordcloud
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modelwordcloud_0.1-1.ca2004.1_all.deb
Size: 19208
MD5sum: 4e2712f108475e75aee379464f3f04ed
SHA1: 7328add0f1d58cfc776c99ca0e75aaed09ab6a5d
SHA256: 4773a1556c5b266b4bca9450ad7cde5d3cdbc2eeb1d91dee8818607e95cbb543
SHA512: 44634682a1d3ef9a9a9210e884fe7d0bdc60fb82b8916d5a3e68631d1caf5472c9ba7f596648f3f50a733c899ac7cc30806ff7d241b099e252cad804c7266dcd
Homepage: https://cran.r-project.org/package=modelwordcloud
Description: CRAN Package 'modelwordcloud' (Model Word Clouds)
 Makes a word cloud of text, sized by the frequency of the word, and colored
 either by user-specified colors or colored by the strength of the
 coefficient of that text derived from a regression model.

Package: r-cran-moder
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-moder_0.2.1-1.ca2004.1_all.deb
Size: 74064
MD5sum: 0a038f9cc44f10af2f998ace6f39b95f
SHA1: 7885241d6d4ce3014b132996746ca8f9a6dcf648
SHA256: 8c891b4de5d93304058b383d1501e9f913a64c67716b2071c88b33b19810424d
SHA512: f6ce7a3f031c20390a3ecc85012770cb37b3f66557c52dd24dc33a85435e9eabace71538ef33df048a4689d94945abf2ff6aa4140524a3f56c7720b23f34a900
Homepage: https://cran.r-project.org/package=moder
Description: CRAN Package 'moder' (Mode Estimation)
 Determines single or multiple modes (most frequent values).  Checks if
 missing values make this impossible, and returns 'NA' in this case.
 Dependency-free source code. See Franzese and Iuliano (2019)
 <doi:10.1016/B978-0-12-809633-8.20354-3>.

Package: r-cran-moderate.mediation
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-cowplot, r-cran-distr, r-cran-ggplot2, r-cran-reshape2, r-cran-dosnow, r-cran-scales, r-cran-foreach, r-cran-earth
Filename: pool/dists/focal/main/r-cran-moderate.mediation_0.0.11-1.ca2004.1_all.deb
Size: 246992
MD5sum: a7480240ee8699f4dbe4f8dd8a0f2d9a
SHA1: 3dae4e425d7a22e0ec48f4044a208ed8a1996397
SHA256: 2b08e4e4dccc39a3f879d6752e58972dfb027f1268dc85a1e0257d5d4f1a77bd
SHA512: 6f1fd3d3b399c514f409fb8d32b0efda9306e24666a9b5bab759dde8869b01bf1179f43cf0aa63c86fe5cbebf125e35870d6eb833855a5d8897bd7df4b9402cf
Homepage: https://cran.r-project.org/package=moderate.mediation
Description: CRAN Package 'moderate.mediation' (Causal Moderated Mediation Analysis)
 Causal moderated mediation analysis using the methods proposed by Qin and
 Wang (2023) <doi:10.3758/s13428-023-02095-4>. Causal moderated mediation
 analysis is crucial for investigating how, for whom, and where a treatment
 is effective by assessing the heterogeneity of mediation mechanism across
 individuals and contexts. This package enables researchers to estimate and
 test the conditional and moderated mediation effects, assess their
 sensitivity to unmeasured pre-treatment confounding, and visualize the
 results. The package is built based on the quasi-Bayesian Monte Carlo
 method, because it has relatively better performance at small sample sizes,
 and its running speed is the fastest. The package is applicable to a
 treatment of any scale, a binary or continuous mediator, a binary or
 continuous outcome, and one or more moderators of any scale.

Package: r-cran-moderndive
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4393
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-tibble, r-cran-janitor, r-cran-broom, r-cran-formula.tools, r-cran-stringr, r-cran-knitr, r-cran-infer, r-cran-rlang, r-cran-glue
Suggests: r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-vdiffr, r-cran-openintro, r-cran-patchwork, r-cran-viridis, r-cran-readr, r-cran-nycflights13, r-cran-nycflights23
Filename: pool/dists/focal/main/r-cran-moderndive_0.7.0-1.ca2004.1_all.deb
Size: 3913020
MD5sum: ea13c8e2390a5e8cd86519f3d99650f3
SHA1: 012db19126c687f70f48dfa9e45139c741f3ea47
SHA256: 516c3c15d1df351d43697f3bb72defa18a83bd11dfa8601f4c7254e5ddaa7465
SHA512: 8caa4601bd311f20011812e85c185750e001527afb74226357344324a1b51caeb062524864d48d83c5fe14a9cb483c81c14c4cb016a8d40da6203339c2f2e6ad
Homepage: https://cran.r-project.org/package=moderndive
Description: CRAN Package 'moderndive' (Tidyverse-Friendly Introductory Linear Regression)
 Datasets and wrapper functions for tidyverse-friendly introductory linear
 regression, used in "Statistical Inference via Data Science: A ModernDive
 into R and the Tidyverse" available at <https://moderndive.com/>.

Package: r-cran-modest
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-rhandsontable, r-cran-shiny, r-cran-shinybs
Filename: pool/dists/focal/main/r-cran-modest_0.3-1-1.ca2004.1_all.deb
Size: 91308
MD5sum: 4834952e486e7daba256dbd6297d9fdc
SHA1: 25db9a1503e642b5d3ad10b5f487457cc240a2b6
SHA256: 87f9599e00c404eba9e4933e1a538eb004e3143260479d09c9b5b08a7ca7ad57
SHA512: f8e27ad02473e19f33a33e200ae2a2f528be56f41ab1248376640ef306091a44eff00a8cf681d06e5112cbf470a4dc6d0a839a9f21923531bfa5e4c321842e0a
Homepage: https://cran.r-project.org/package=modest
Description: CRAN Package 'modest' (Model-Based Dose-Escalation Trials)
 User-friendly Shiny apps for designing and evaluating phase I cancer
 clinical trials, with the aim to estimate the maximum tolerated dose (MTD)
 of a novel drug, using a Bayesian decision procedure based on logistic
 regression.

Package: r-cran-modestm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-modestm_0.0.1-1.ca2004.1_all.deb
Size: 11140
MD5sum: eec25484f231eec21937b7e3e192e84c
SHA1: 7a5928519ac72ace793b9540a827947476836435
SHA256: 205c4ecce15c130db3bc28403ab2d2d8734cafdf7ad80167fa5f426c0839df98
SHA512: 022bdd106a653c11e859e84ef4fd4a78233d5cc3204b5a795c525b4fa2fde9ffb22926d67427a2bce8edbd6775b3136ee8aa1744219a486b7edaf90324ad5bfc
Homepage: https://cran.r-project.org/package=ModEstM
Description: CRAN Package 'ModEstM' (Mode Estimation, Even in the Multimodal Case)
 Function ModEstM() is the only one of this package, it estimates the modes
 of an empirical univariate distribution. It relies on the stats::density()
 function, even for input control. Due to very good performance of the
 density estimation, computation time is not an issue. The multiple modes are
 handled using dplyr::group_by(). For conditions and rates of convergences,
 see Eddy (1980) <doi:10.1214/aos/1176345080>.

Package: r-cran-modeva
Architecture: all
Version: 3.34-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2784
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-modeva_3.34-1.ca2004.1_all.deb
Size: 2751000
MD5sum: 11579faa6f00537f2e7ff36e6c07b3b5
SHA1: 4182b3f7cf667c785d41f3cfdad26cd6e0bf9bf2
SHA256: 2659018417999262ff9020846510c1e4e43255ded14f7af34698bb04fa6a4e5d
SHA512: b34d91f1d5115e7cb07198f00425048fd0a60050899e87379e12897444f193b704913c9ef0179c19bde6feb2a3768fbada0456d6062b97065996aa41c932a77f
Homepage: https://cran.r-project.org/package=modEvA
Description: CRAN Package 'modEvA' (Model Evaluation and Analysis)
 Analyses species distribution models and evaluates their performance. It
 includes functions for variation partitioning, extracting variable
 importance, computing several metrics of model discrimination and
 calibration performance, optimizing prediction thresholds based on a number
 of criteria, performing multivariate environmental similarity surface (MESS)
 analysis, and displaying various analytical plots. Initially described in
 Barbosa et al. (2013) <doi:10.1111/ddi.12100>.

Package: r-cran-modgetxl
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-shinydashboard, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-modgetxl_0.4-1.ca2004.1_all.deb
Size: 136560
MD5sum: 9bbafe2709eb605fd4fe1186a5e9808a
SHA1: 6f08ad010c755189600d01fb64edd6bfecfda56d
SHA256: 172dca8c44a6d134bbdb9bd45f9940ac38d4a3f56588ee55957dd351496671fc
SHA512: 1df5971be76a687673ffb870dc4cee894fa1d74a39f1aad873f0f1fb93a1f4cb9763c80e4fc900665e9c29d17ea8dc17157c47a80d718fda206535a80941f327
Homepage: https://cran.r-project.org/package=modgetxl
Description: CRAN Package 'modgetxl' (A 'shiny' Module for Reading Excel Sheets)
 This is a shiny module that presents a file picker user interface to get an
 Excel file name, and reads the Excel sheets using 'readxl' package and
 returns the resulting sheet(s) as a vector and data in dataframe(s).

Package: r-cran-modgo
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2672
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-patchwork, r-cran-wesanderson, r-cran-matrix, r-cran-ggcorrplot, r-cran-gridextra, r-cran-psych, r-cran-gldex, r-cran-mass, r-cran-gp, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-modgo_1.0.1-1.ca2004.1_all.deb
Size: 1777256
MD5sum: 132181e2f5f292fb7538da0ecd71a39a
SHA1: 54349d89d11ed3832d1e55c4f5182d3ac506a116
SHA256: 79c87f2bea29898de7d090bc732c48177ac0aa3ca6e766907d3de575cd731399
SHA512: f1d8ea6105e1b4acbff3ffac3bde8b0ac71f21fd59299b011824ac27501b93667aa35970613e2cd17c4e7a45c7ed7bcc96a7329f0509fd7b24d77ead3d802900
Homepage: https://cran.r-project.org/package=modgo
Description: CRAN Package 'modgo' (Mock Data Generation)
 Generation of synthetic data from a real dataset using the combination of
 rank normal inverse transformation with the calculation of correlation
 matrix <doi:10.1055/a-2048-7692>. Completely artificial data may be
 generated through the use of Generalized Lambda Distribution and Generalized
 Poisson Distribution <doi:10.1201/9781420038040>. Quantitative, binary,
 ordinal categorical, and survival data may be simulated. Functionalities are
 offered to generate synthetic data sets according to user's needs.

Package: r-cran-modi
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 688
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-norm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survey, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-modi_0.1.2-1.ca2004.1_all.deb
Size: 560560
MD5sum: 9ee17fcfbc697b0b143f15cb9da28a46
SHA1: d3bf8307fef9bfaad0cbc41bfa0a389d1c0350c9
SHA256: fc3e68b05567730fcb67276c6aa13024a0c831529aebca861b4455f579cdd78f
SHA512: 1d55ef818888f4b586be2ef0a1928ea0c6ba5b003ba77b39a5f3d3afc30a276087bb6e12f55f1617d59413f7e3f6382041d7518956ceef0d2dfa6d6e45c66ebc
Homepage: https://cran.r-project.org/package=modi
Description: CRAN Package 'modi' (Multivariate Outlier Detection and Imputation for IncompleteSurvey Data)
 Algorithms for multivariate outlier detection when missing values occur.
 Algorithms are based on Mahalanobis distance or data depth.  Imputation is
 based on the multivariate normal model or uses nearest neighbour donors. The
 algorithms take sample designs, in particular weighting, into account. The
 methods are described in Bill and Hulliger (2016)
 <doi:10.17713/ajs.v45i1.86>.

Package: r-cran-modifiedmk
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-modifiedmk_1.6-1.ca2004.1_all.deb
Size: 94816
MD5sum: c10ad57eb2910d91288e65f9d2176842
SHA1: 6138bedb742ec38c2c74fd016e40e54f9315164c
SHA256: 2e3129ee1ff6facadf9d26c15d19b94af6a381052af00b6e040bd793ec857e37
SHA512: 09a485c5a233ad15ee36a3c1516a32f654001baf6d8b1d92ed8994739c345b9051efbd566d12100bbc185077f89c8c3563181cddf7b195f2c97032ccfe6e7165
Homepage: https://cran.r-project.org/package=modifiedmk
Description: CRAN Package 'modifiedmk' (Modified Versions of Mann Kendall and Spearman's Rho Trend Tests)
 Power of non-parametric Mann-Kendall test and Spearman’s Rho test is highly
 influenced by serially correlated data. To address this issue, trend tests
 may be applied on the modified versions of the time series data by Block
 Bootstrapping (BBS), Prewhitening (PW) , Trend Free Prewhitening (TFPW),
 Bias Corrected Prewhitening and Variance Correction Approach by calculating
 effective sample size.  Mann, H. B.
 (1945).<doi:10.1017/CBO9781107415324.004>.  Kendall, M. (1975). Multivariate
 analysis. Charles Griffin&Company Ltd,.  sen, P. K.
 (1968).<doi:10.2307/2285891>.  Önöz, B., & Bayazit, M. (2012)
 <doi:10.1002/hyp.8438>.  Hamed, K. H.
 (2009).<doi:10.1016/j.jhydrol.2009.01.040>.  Yue, S., & Wang, C. Y. (2002)
 <doi:10.1029/2001WR000861>.  Yue, S., Pilon, P., Phinney, B., & Cavadias, G.
 (2002) <doi:10.1002/hyp.1095>.  Hamed, K. H., & Ramachandra Rao, A. (1998)
 <doi:10.1016/S0022-1694(97)00125-X>.  Yue, S., & Wang, C. Y. (2004)
 <doi:10.1023/B:WARM.0000043140.61082.60>.

Package: r-cran-modis
Architecture: all
Version: 1.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1289
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mapdata, r-cran-raster, r-cran-bitops, r-cran-curl, r-cran-devtools, r-cran-mapedit, r-cran-maps, r-cran-maptools, r-cran-ptw, r-cran-sf, r-cran-sp
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-modis_1.2.11-1.ca2004.1_all.deb
Size: 679632
MD5sum: 24a90b40a7888cfe6a07c2cf43bcf147
SHA1: 3899167c40ae4c29cb81b831dd99765685107f8a
SHA256: cd487fb1f4296df44bc0ca2273b56537712946fb1f77af355715ad75de6a397f
SHA512: 1339242f7dbc8583b1ab7e33d60edd32477992bf7d9d629e1c9e09bf0f9c5d5a21c6912d9d02de1ec7aaa61b5ec09cc5089051ce4e9b6d3ddf2c8810f5949dfa
Homepage: https://cran.r-project.org/package=MODIS
Description: CRAN Package 'MODIS' (Acquisition and Processing of MODIS Products)
 Download and processing functionality for the Moderate Resolution Imaging
 Spectroradiometer (MODIS). The package provides automated access to the
 global online data archives LP DAAC (<https://lpdaac.usgs.gov/>), LAADS
 (<https://ladsweb.modaps.eosdis.nasa.gov/>) and NSIDC
 (<https://nsidc.org/home>) as well as processing capabilities such as file
 conversion, mosaicking, subsetting and time series filtering.

Package: r-cran-modiscloud
Architecture: all
Version: 0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-date, r-cran-sp, r-cran-sfsmisc, r-cran-raster, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-modiscloud_0.14-1.ca2004.1_all.deb
Size: 136060
MD5sum: fa950b8d33137a12840ea315615c0745
SHA1: 7705bcee80985b0d5f2cb55f404fc1e5a4d5a9fb
SHA256: c4707aa244d4c427fdf33fc43bfa6a3ff056e716ff09c72d4fe685436489659c
SHA512: 436416521fc8a586089d7cd7396b4664398c923ee550eb38f49d2606b870cd0c78152f73269530e4385aa4c13ff8a245f51b4f0f7497a790dbc04b0384c11296
Homepage: https://cran.r-project.org/package=modiscloud
Description: CRAN Package 'modiscloud' (R tools for processing Level 2 Cloud Mask products from MODIS)
 Package for processing downloaded MODIS Cloud Product HDF files and derived
 files. Specifically, MOD35_L2 cloud product files, and the associated MOD03
 geolocation files (for MODIS-TERRA); and MYD35_L2 cloud product files, and
 the associated MYD03 geolocation files (for MODIS-AQUA).  The package will
 be most effective if the user installs MRTSwath (MODIS Reprojection Tool for
 swath products;
 https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath), and adds the
 directory with the MRTSwath executable to the default R PATH by editing
 ~/.Rprofile.

Package: r-cran-modisfast
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rvest, r-cran-sf, r-cran-stringr, r-cran-terra, r-cran-xml2, r-cran-cli
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mapview, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-appeears
Filename: pool/dists/focal/main/r-cran-modisfast_1.0.0-1.ca2004.1_all.deb
Size: 404316
MD5sum: 7cf3543adb2941b6551fd806c8e1c0ae
SHA1: 043d371a9697757517497671b5b6b46baa5ba1ef
SHA256: b903b53cd0e7eea0a7e40560fc671933fd1d3ba613af81d608225d06e46b27e4
SHA512: 1e7ffd152bf664aa6dce24f9a20e51c65dbf7f60f150985f6c1c3a56db69d00c433aff94579df5ce19c2a46e78e36f69beebd4fae2ce21705be8343a57518515
Homepage: https://cran.r-project.org/package=modisfast
Description: CRAN Package 'modisfast' (Fast and Efficient Access to MODIS Earth Observation Data)
 Programmatic interface to several NASA Earth Observation 'OPeNDAP' servers
 (Open-source Project for a Network Data Access Protocol)
 (<https://www.opendap.org/>). Allows for easy downloads of MODIS subsets, as
 well as other Earth Observation datacubes, in a time-saving and efficient
 way : by sampling it at the very downloading phase (spatially, temporally
 and dimensionally).

Package: r-cran-modistools
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-sf, r-cran-sp, r-cran-terra, r-cran-memoise, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-markdown, r-cran-covr, r-cran-testthat, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-modistools_1.1.5-1.ca2004.1_all.deb
Size: 386380
MD5sum: f32795f513904c609739bef5619c9f16
SHA1: 84f3bc6f1260e1bc5b55383d1f0273f06fd09a46
SHA256: e51f19439d44b81138169542906b3ad5d20a006076703d68ac87d16b10c2541b
SHA512: 0e433bc3309a92669133d98bec1c3c6e092831ad4901fe8ed666593bf4e9f87a9066f1c4dc51c5ecc91c537c4ad013689c106bcc9e85effbe9aba2045f737075
Homepage: https://cran.r-project.org/package=MODISTools
Description: CRAN Package 'MODISTools' (Interface to the 'MODIS Land Products Subsets' Web Services)
 Programmatic interface to the Oak Ridge National Laboratories 'MODIS Land
 Products Subsets' web services
 (<https://modis.ornl.gov/data/modis_webservice.html>). Allows for easy
 downloads of 'MODIS' time series directly to your R workspace or your
 computer.

Package: r-cran-modistsp
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2616
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-bitops, r-cran-data.table, r-cran-gdalutilities, r-cran-geojsonio, r-cran-httr, r-cran-jsonlite, r-cran-raster, r-cran-sf, r-cran-stringr, r-cran-xml2, r-cran-xts
Suggests: r-cran-dplyr, r-cran-dt, r-cran-formatr, r-cran-ggplot2, r-cran-httptest, r-cran-knitr, r-cran-leafem, r-cran-leaflet, r-cran-magrittr, r-cran-mapedit, r-cran-png, r-cran-rappdirs, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyalert, r-cran-shinydashboard, r-cran-shinyfiles, r-cran-shinyjs, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tibbletime, r-cran-tidyr, r-cran-qpdf, r-cran-webshot, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-modistsp_2.1.0-1.ca2004.1_all.deb
Size: 1651972
MD5sum: 973fdec225880e03fabe3474e82dfd9a
SHA1: 778ff285a301b8d5964357e7d0c2cb03d8ccc593
SHA256: 2b856baf1020abcb9bac9d4274a085af02319f5a74f645f176f58086f8153aa6
SHA512: fa750946a6c4f6069499bc0c7b22ef952ed4d1ae5056d2407e1877f96adfb7615852adf6010f4db4a57a3b4e3cab084f30384b87a7fe69e6ca0852720e13d49a
Homepage: https://cran.r-project.org/package=MODIStsp
Description: CRAN Package 'MODIStsp' (Find, Download and Process MODIS Land Products Data)
 Allows automating the creation of time series of rasters derived from MODIS
 satellite land products data. It performs several typical preprocessing
 steps such as download, mosaicking, reprojecting and resizing data acquired
 on a specified time period. All processing parameters can be set using a
 user-friendly GUI. Users can select which layers of the original MODIS HDF
 files they want to process, which additional quality indicators should be
 extracted from aggregated MODIS quality assurance layers and, in the case of
 surface reflectance products, which spectral indexes should be computed from
 the original reflectance bands. For each output layer, outputs are saved as
 single-band raster files corresponding to each available acquisition date.
 Virtual files allowing access to the entire time series as a single file are
 also created.  Command-line execution exploiting a previously saved
 processing options file is also possible, allowing users to automatically
 update time series related to a MODIS product whenever a new image is
 available.  For additional documentation refer to the following article:
 Busetto and Ranghetti (2016) <doi:10.1016/j.cageo.2016.08.020>.

Package: r-cran-modmarg
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-sandwich, r-cran-aer
Filename: pool/dists/focal/main/r-cran-modmarg_0.9.6-1.ca2004.1_all.deb
Size: 93352
MD5sum: fdd8cba515ec3f14cc70b68dab4ffed1
SHA1: 48acc04c5f1e86e2b4f0449ae0524467783b76f4
SHA256: 16418cb3cb02744db965d1503715f0e74c945a8b1bdee1269b93933bced75df8
SHA512: 8ec80dfe32e067a5896b847b789d3cbf878fd983ad1edef170ea53e7ac504639b961911e82e75d488c2a5ca331c1c6d54b5c436ba662ab06a13b7693d3bb8558
Homepage: https://cran.r-project.org/package=modmarg
Description: CRAN Package 'modmarg' (Calculating Marginal Effects and Levels with Errors)
 Calculate predicted levels and marginal effects, using the delta method to
 calculate standard errors. This is an R-based version of the 'margins'
 command from Stata.

Package: r-cran-modmax
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-modmax_1.1-1.ca2004.1_all.deb
Size: 214052
MD5sum: 4d421d7b5cf55e6578c61a4dba8dbfec
SHA1: a6e0a741e270f6887c9b850a14074374266ec00a
SHA256: f171ef3f5ec692dfaa53eef09945deb6127ec58effe6828f403f91f1878b5750
SHA512: 9004777b61c9f972afc01a0ae4d2180e1d3b0dddebc73eb02b252806c84bb1c5e097f59bffe526a5bbcc7990b5a2a04e0bbd001821844c3694a3af0c04733763
Homepage: https://cran.r-project.org/package=modMax
Description: CRAN Package 'modMax' (Community Structure Detection via Modularity Maximization)
 The algorithms implemented here are used to detect the community structure
 of a network.  These algorithms follow different approaches, but are all
 based on the concept of modularity maximization.

Package: r-cran-modnets
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-corpcor, r-cran-ggplot2, r-cran-glinternet, r-cran-glmnet, r-cran-gridextra, r-cran-gtools, r-cran-igraph, r-cran-interactiontest, r-cran-leaps, r-cran-lme4, r-cran-lmertest, r-cran-matrix, r-cran-mvtnorm, r-cran-pbapply, r-cran-plyr, r-cran-psych, r-cran-qgraph, r-cran-reshape2, r-cran-systemfit
Suggests: r-cran-sn, r-cran-arm, r-cran-hiernet, r-cran-psychtools
Filename: pool/dists/focal/main/r-cran-modnets_0.9.0-1.ca2004.1_all.deb
Size: 4247076
MD5sum: c70b737572c94352084f3712e8c12c8a
SHA1: 23bb973a2593dd9cd4a6a7d14fd17d765f5ca85d
SHA256: ba05fe7913fec7747c9f925010a480e4da32f9ae5d82a61a6567460ce1a21e05
SHA512: 833d902feb87e35d6936877261daf6933641a7276391fe01ea9ec5c943860499f5e2426626faa70c8ad83f1854b2fe57ab6405df945dc8e1f64454b48e2bd5d5
Homepage: https://cran.r-project.org/package=modnets
Description: CRAN Package 'modnets' (Modeling Moderated Networks)
 Methods for modeling moderator variables in cross-sectional, temporal, and
 multi-level networks. Includes model selection techniques and a variety of
 plotting functions. Implements the methods described by Swanson (2020)
 <https://www.proquest.com/openview/d151ab6b93ad47e3f0d5e59d7b6fd3d3>.

Package: r-cran-modopt.matlab
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roi, r-cran-roi.plugin.glpk, r-cran-roi.plugin.quadprog
Filename: pool/dists/focal/main/r-cran-modopt.matlab_1.0-2-1.ca2004.1_all.deb
Size: 23888
MD5sum: a18059a3213eff65f11f535032e9d9c0
SHA1: 808386f4d1bc673f6d0256c6016b4232993d2618
SHA256: 5f6b937bd4499c4f2c6558676943040770dad838833086290eedb2d88de44fcf
SHA512: 1ff1d9ce86bace65168c42f09a8a5e2683e39edb8bc930e2c56ceabcdfd875a8e4e5efb5f644604193ba94c570282aa7ab23a36af13f3af135ffcaf66eec24ea
Homepage: https://cran.r-project.org/package=modopt.matlab
Description: CRAN Package 'modopt.matlab' ('MatLab'-Style Modeling of Optimization Problems)
 'MatLab'-Style Modeling of Optimization Problems with 'R'. This package
 provides a set of convenience functions to transform a 'MatLab'-style
 optimization modeling structure to its 'ROI' equivalent.

Package: r-cran-modqr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lpsolve, r-cran-geometry
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-modqr_0.1.3-1.ca2004.1_all.deb
Size: 173060
MD5sum: 69f323878c2b7a1d808472dd6923e0fe
SHA1: 64235788b0c7d2e7528ea35b4dfa8a687a531fd5
SHA256: 795b84df99c711e61539c9e1bb1efcab6e927f67d28a1fa8bdf2657640622ec4
SHA512: f568a64d7affec53f1b3c4c6f7b17ae02a7bb7aead610d4bee9f7f3b2f58af49be3457a4c140c4cd65d49d93c8117c4cfa10ca6625ba886bfdd36986c2cea46d
Homepage: https://cran.r-project.org/package=modQR
Description: CRAN Package 'modQR' (Multiple-Output Directional Quantile Regression)
 Contains basic tools for performing multiple-output quantile regression and
 computing regression quantile contours by means of directional regression
 quantiles. In the location case, one can thus obtain halfspace depth
 contours in two to six dimensions.  Hallin, M., Paindaveine, D. and Šiman,
 M. (2010) Multivariate quantiles and multiple-output regression quantiles:
 from L1 optimization to halfspace depth. Annals of Statistics 38, 635-669
 For more references about the method, see Help pages.

Package: r-cran-modstatr
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4613
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-jmuoutlier, r-cran-ellipse, r-cran-hypergeo, r-cran-gsl
Suggests: r-cran-biostatr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-modstatr_1.3.3-1.ca2004.1_all.deb
Size: 3602524
MD5sum: 7d77f26d0bedda7c77dbba2476fd23b0
SHA1: 88a2514cbf7ef2fa62e3d697b80a1f2db5e0acf2
SHA256: 5b1ff490c90d2dcb4f80d98f34cc9cb3b5a6cde89e8860c7df5fcc51dfed8c8f
SHA512: 28c6c1ea76603076d8c6cd36d144216b877153b75b176de2451450004bcbe40a1a01a897e20e3f09ea3044603639cba78dd9535418ac0cc263394b6dfb676df9
Homepage: https://cran.r-project.org/package=ModStatR
Description: CRAN Package 'ModStatR' (Statistical Modelling in Action with R)
 Datasets and functions for the book "Modélisation statistique par la
 pratique avec R", F. Bertrand, E. Claeys and M. Maumy-Bertrand (2019,
 ISBN:9782100793525, Dunod, Paris). The first chapter of the book is
 dedicated to an introduction to the R statistical software. The second
 chapter deals with correlation analysis: Pearson, Spearman and Kendall
 simple, multiple and partial correlation coefficients. New wrapper functions
 for permutation tests or bootstrap of matrices of correlation are provided
 with the package. The third chapter is dedicated to data exploration with
 factorial analyses (PCA, CA, MCA, MDA) and clustering. The fourth chapter is
 dedicated to regression analysis: fitting and model diagnostics are
 detailed. The exercises focus on covariance analysis, logistic regression,
 Poisson regression, two-way analysis of variance for fixed or random
 factors. Various example datasets are shipped with the package: for instance
 on pokemon, world of warcraft, house tasks or food nutrition analyses.

Package: r-cran-modtools
Architecture: all
Version: 0.9.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-mass, r-cran-nnet, r-cran-survival, r-cran-e1071, r-cran-c50, r-cran-rpart, r-cran-randomforest, r-cran-proc, r-cran-relaimpo, r-cran-rpart.plot, r-cran-lattice, r-cran-lmtest, r-cran-car, r-cran-robustbase, r-cran-class, r-cran-neuralnettools, r-cran-naivebayes, r-cran-sandwich, r-cran-aer, r-cran-boot, r-cran-pscl
Suggests: r-cran-vgam
Filename: pool/dists/focal/main/r-cran-modtools_0.9.13-1.ca2004.1_all.deb
Size: 285952
MD5sum: bc35fc3aebe08ac25f010d8926575c3f
SHA1: 60bd0c1999ba95f08cf3394cf4fc46fefe8b55b0
SHA256: 298888c956554fb4724ca03c3327e5b1ca85d6e7c8131e3a8e73f67abc6f313f
SHA512: cac91f0dbe7a7e3ce3b82f9514f0dc14ce48e96d1f6ba7af0590349ea8b6e9b745262ada28cbdcc8974e832093b8d3f3397d058f6c70a0ab42fb97d59e4c3f78
Homepage: https://cran.r-project.org/package=ModTools
Description: CRAN Package 'ModTools' (Building Regression and Classification Models)
 Consistent user interface to the most common regression and classification
 algorithms, such as random forest, neural networks, C5 trees and support
 vector machines, complemented with a handful of auxiliary functions, such as
 variable importance and a tuning function for the parameters.

Package: r-cran-modturpoint
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-modturpoint_0.1.0-1.ca2004.1_all.deb
Size: 18344
MD5sum: 12aa806abcc39373cda3ef45c5b52b16
SHA1: 2be1560b0d8a11f2d2d4f4b0ff264610a038826a
SHA256: 2223c45624fb4dcea90cc7873dc84ef42ecfbd319a29d0f9bb8b2cd006180e24
SHA512: e63e87c697d3e3a6688f3e9852f082130a499d4d13ac4d7fa4db612b61dce34a66e7247a2106011a2ad9063170f12851b5ea4a9d2686bfb8755a231410fdeaa4
Homepage: https://cran.r-project.org/package=modTurPoint
Description: CRAN Package 'modTurPoint' (Estimate ED50 Based on Modified Turning Point Method)
 Turning point method is a method proposed by Choi (1990)
 <doi:10.2307/2531453> to estimate 50 percent effective dose (ED50) in the
 study of drug sensitivity. The method has its own advantages for that it can
 provide robust ED50 estimation. This package contains the modified function
 of Choi's turning point method.

Package: r-cran-modulecolor
Architecture: all
Version: 1.8-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-impute, r-cran-dynamictreecut
Filename: pool/dists/focal/main/r-cran-modulecolor_1.8-4-1.ca2004.1_all.deb
Size: 122480
MD5sum: 30da127345c8c88764e49bcf731ea139
SHA1: fbe2b1b1265d9c4ce8895ce425485a9ff8882944
SHA256: 6e4bd013a6a0265325fd1a2ada6d2dcb931ce96dd723827593de9baff6133912
SHA512: fcdb2df4ddaaeb2b177cb067279c83a4f711da89ad8df391b53ac2de2842b4e6b8647681b98abcf63958d81ac2fa3dbe02ce0f00557cc79169fe8212a553ab72
Homepage: https://cran.r-project.org/package=moduleColor
Description: CRAN Package 'moduleColor' (Basic Module Functions)
 Methods for color labeling, calculation of eigengenes, merging of closely
 related modules.

Package: r-cran-modules
Architecture: all
Version: 0.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-devtools, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-modules_0.13.0-1.ca2004.1_all.deb
Size: 92744
MD5sum: 87bb33be94d9805e2d86c8316c0e3978
SHA1: f7759e4313733c8aeb1b73d00beb5725c99fc693
SHA256: 53930c426dc4ee29fe901637de1d378735a77b9550392dc23551da921b78341b
SHA512: 677011b57fe2b77320469f449ba6d7666cb9632b2e8ea82628533d658ff19fa6752b7ad056d98ee75eb54c5327335d5f5cc395e3099590385d848fecd989b676
Homepage: https://cran.r-project.org/package=modules
Description: CRAN Package 'modules' (Self Contained Units of Source Code)
 Provides modules as an organizational unit for source code. Modules enforce
 to be more rigorous when defining dependencies and have a local search path.
 They can be used as a sub unit within packages or in scripts.

Package: r-cran-modygliani
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4605
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-modygliani_1.0-1.ca2004.1_all.deb
Size: 1039120
MD5sum: 95775a5d12a2c86d7e4c410e5bd5acc3
SHA1: f03e1de2be3bb2dcbf6cf73ce45a0e77b84d252e
SHA256: c0ef943a1596de3a2e407002c4ff2fa27c7999bc3a7fe2f11502d8ab817ebc5a
SHA512: 946d5e8331d7956b2c993e22ef7def7502071bf286c34caec099cf4a0a399feea76d2e5a8dd29cb320b284aa68665f891a5304ba1a373687c87e9541570ad50e
Homepage: https://cran.r-project.org/package=modygliani
Description: CRAN Package 'modygliani' (MOlecular DYnamics GLobal ANalysis)
 RMSD and Internal Energy analysis of NAMD and YASARA Molecular Dynamics
 output files. Allows to comparison of different dynamics per different
 complexes. Input files have to be ASCII files tab separated.

Package: r-cran-moeadr
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3494
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fnn, r-cran-assertthat
Suggests: r-cran-smoof, r-cran-scatterplot3d, r-cran-mass, r-cran-irace, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-emoa, r-cran-ggplot2, r-cran-reshape2, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-moeadr_1.1.3-1.ca2004.1_all.deb
Size: 1374768
MD5sum: 736af33d9cf4d2dfecce77c146e03cde
SHA1: e0153f0249fc237573e5b05c4d41165eb44c54cf
SHA256: 0092cfd546d41fd02073801aafcb4124e39cd1eb7b58bdfb5a34b0f09a95d746
SHA512: 8765320a5040da77b90d28372b05c1da658b09dc886a9b8152243ea8a94d57e75f0b780d59a1ec0d208b8b8e976e3f66bb38f38187e915649ae08afc8938da25
Homepage: https://cran.r-project.org/package=MOEADr
Description: CRAN Package 'MOEADr' (Component-Wise MOEA/D Implementation)
 Modular implementation of Multiobjective Evolutionary Algorithms based on
 Decomposition (MOEA/D) [Zhang and Li (2007), <DOI:10.1109/TEVC.2007.892759>]
 for quick assembling and testing of new algorithmic components, as well as
 easy replication of published MOEA/D proposals. The full framework is
 documented in a paper published in the Journal of Statistical Software
 [<doi:10.18637/jss.v092.i06>].

Package: r-cran-moeclust
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-matrixstats, r-cran-mclust, r-cran-mvnfast, r-cran-nnet, r-cran-vcd
Suggests: r-cran-cluster, r-cran-clustmd, r-cran-geometry, r-cran-knitr, r-cran-rmarkdown, r-cran-snow
Filename: pool/dists/focal/main/r-cran-moeclust_1.6.0-1.ca2004.1_all.deb
Size: 1906712
MD5sum: 89963b8875d61ff65eaccf4cf9e50a54
SHA1: 868fe9a51d44ee0dff4eee6ef98f5395aa82eb62
SHA256: c052d74493df62e62348ac4f7234af2c387d7ea455ee5f325893ef54306b2f07
SHA512: 00aff154395e9d16f3879c481b808c93882748bb8ec6c242614c01297b1d17e0111431c46feddc670b730d0d592fa91dc3d6802243f739e0892ebe8ac30e5127
Homepage: https://cran.r-project.org/package=MoEClust
Description: CRAN Package 'MoEClust' (Gaussian Parsimonious Clustering Models with Covariates and aNoise Component)
 Clustering via parsimonious Gaussian Mixtures of Experts using the MoEClust
 models introduced by Murphy and Murphy (2020)
 <doi:10.1007/s11634-019-00373-8>. This package fits finite Gaussian mixture
 models with a formula interface for supplying gating and/or expert network
 covariates using a range of parsimonious covariance parameterisations from
 the GPCM family via the EM/CEM algorithm. Visualisation of the results of
 such models using generalised pairs plots and the inclusion of an additional
 noise component is also facilitated. A greedy forward stepwise search
 algorithm is provided for identifying the optimal model in terms of the
 number of components, the GPCM covariance parameterisation, and the subsets
 of gating/expert network covariates.

Package: r-cran-moexer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-purrr, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-assertthat, r-cran-cli, r-cran-dplyr, r-cran-lubridate, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-moexer_0.3.0-1.ca2004.1_all.deb
Size: 71132
MD5sum: 36acda00f42762e827b22998463460da
SHA1: 2021c629228c139d47bbd96c81b4de0c0d344fe6
SHA256: 94a830ab73dd552754907e218fa1e4e376fa9bf42f12c35d7cdf636c24598277
SHA512: 8809b63c5f803036258cdc37bc18ed013630da85f62f64948cd4d032e2486c47c97c439875e3b026074b64d012856761a93896aa35f057663ccc77f670903a87
Homepage: https://cran.r-project.org/package=moexer
Description: CRAN Package 'moexer' (Interact with Moscow Exchange Informational and StatisticalServer ('ISS'))
 This is a thin wrapper around the 'MOEX' 'ISS' REST interface, see
 <https://iss.moex.com>.  It allows to quickly fetch price candles for a
 particular security, obtain its profile information and so on.

Package: r-cran-mofat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-slhd
Filename: pool/dists/focal/main/r-cran-mofat_1.0-1.ca2004.1_all.deb
Size: 21256
MD5sum: f6a115dcf672ff113082fda0ff2742b9
SHA1: 9a1f6ee75206eb12b3c9fc447dabf3e3a18ec7f3
SHA256: 1f18c695bff977ba67d4e0c7aecb5acb4b41116b88b823910323f8703be72385
SHA512: a5f18ce841a964399c35f30fcb6e109ea1117db973ce9a95907b273fa23db5063c8c534d9b7228d8e0bc4dfbcf8cd1e0676ee6dd579155f8108ed09e2821cb62
Homepage: https://cran.r-project.org/package=MOFAT
Description: CRAN Package 'MOFAT' (Maximum One-Factor-at-a-Time Designs)
 Identifying important factors from a large number of potentially important
 factors of a highly nonlinear and computationally expensive black box model
 is a difficult problem. Xiao, Joseph, and Ray (2022)
 <doi:10.1080/00401706.2022.2141897> proposed Maximum One-Factor-at-a-Time
 (MOFAT) designs for doing this. A MOFAT design can be viewed as an
 improvement to the random one-factor-at-a-time (OFAT) design proposed by
 Morris (1991) <doi:10.1080/00401706.1991.10484804>. The improvement is
 achieved by exploiting the connection between Morris screening designs and
 Monte Carlo-based Sobol' designs, and optimizing the design using a
 space-filling criterion. This work is supported by a U.S. National Science
 Foundation (NSF) grant CMMI-1921646
 <https://www.nsf.gov/awardsearch/showAward?AWD_ID=1921646>.

Package: r-cran-mogavs
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 717
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cvtools
Filename: pool/dists/focal/main/r-cran-mogavs_1.1.0-1.ca2004.1_all.deb
Size: 690192
MD5sum: 6563e3e39b10d81028bdafdaf151dcbb
SHA1: dd979b75a32271be634e00a2a0fcd29ad5b825d3
SHA256: 2803172f9ef813393767cd7890a3e6e9d14e09fe035937dd0bb85c55f3d81144
SHA512: bc2cb05fd3498f81055f1b1edb42c6b4e9f607b991f52410f22a427bfe37d9e1c5f789f1843594c873186d0848b33f33989683c66199012f609701cb5b46867e
Homepage: https://cran.r-project.org/package=mogavs
Description: CRAN Package 'mogavs' (Multiobjective Genetic Algorithm for Variable Selection inRegression)
 Functions for exploring the best subsets in regression with a genetic
 algorithm. The package is much faster than methods relying on complete
 enumeration, and is suitable for data sets with large number of variables.
 For more information, see Sinha, Malo & Kuosmanen (2015)
 <doi:10.1080/10618600.2014.899236>.

Package: r-cran-mojson
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-magrittr, r-cran-tidyr, r-cran-iterators, r-cran-stringr, r-cran-comparedf
Filename: pool/dists/focal/main/r-cran-mojson_0.1-1.ca2004.1_all.deb
Size: 37896
MD5sum: dda17b9f161b05df3dc78324e9e1f3b7
SHA1: 65ea2a5c84ec652e42b813e3462a175134ca1329
SHA256: 9f7239095cd77502e095c3d12eb20a077fdf28db07aba780d7bfa527d387dd77
SHA512: da8877c13b6621bbde3b6dc2f1bc21c4f3d52f0d5de1631cbe79177136b96b0a52ce45c3c6a4c9b44557872d5a2b79d026465862f48c59a669c1edaf769922de
Homepage: https://cran.r-project.org/package=mojson
Description: CRAN Package 'mojson' (A Serialization-Style Flattening and Description for JSON)
 Support JSON flattening in a long data frame way, where the nesting keys
 will be stored in the absolute path. It also provides an easy way to
 summarize the basic description of a JSON list. The idea of 'mojson' is to
 transform a JSON object in an absolute serialization way, which means the
 early key-value pairs will appear in the heading rows of the resultant data
 frame.  'mojson' also provides an alternative way of comparing two different
 JSON lists, returning the left/inner/right-join style results.

Package: r-cran-moko
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dicekriging, r-cran-gensa, r-cran-emoa, r-cran-mco, r-cran-gpareto
Suggests: r-cran-knitr, r-cran-lhs
Filename: pool/dists/focal/main/r-cran-moko_1.0.3-1.ca2004.1_all.deb
Size: 249020
MD5sum: c879a42be9d0ffaabbdf73765fa1258d
SHA1: 3a61f284deabda1083b56c813900d38fdd45a127
SHA256: 45de6eaf57feb0a3fbbbd274e8ee95af026c0b609f3f4e6740bd95f8ad8ddd9a
SHA512: 404bd0b380f0854386582308d93a19df30e0ebe53462185ea8e3ca3b7358fad503739f34e436947a427c211fdeba68d4a2c0d686993874447f0e7aa4bce920bb
Homepage: https://cran.r-project.org/package=moko
Description: CRAN Package 'moko' (Multi-Objective Kriging Optimization)
 Multi-Objective optimization based on the Kriging metamodel.  Important
 functions: mkm() (builder for the multiobjective models), MVPF() (sequential
 minimizator using variance reduction), MEGO() (generalization of ParEgo) and
 HEGO() (minimizator using the expected hypervolume improvement).  References
 are Passos and Luersen (2018) <doi:10.1590/1679-78254324>.

Package: r-cran-molar
Architecture: all
Version: 5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3909
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-alphahull, r-cran-rgl, r-cran-rvcg, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rglwidget
Filename: pool/dists/focal/main/r-cran-molar_5.3-1.ca2004.1_all.deb
Size: 1857984
MD5sum: c43c3ca904355943c206acd3a1c0286b
SHA1: 5cc9749d9e69383363895df0aac84114c3fcb78b
SHA256: 295f5b28b1b8659c355f3c49388fb0ea569d8337aa9f3373ba2e2c202c0185fc
SHA512: 6490b6bc1815207f201beb72c6a8a2ed88e9af2bd40b2ec0e7113151e330f76eb8dbea7e7487bfefd6ea1b0db0970caa739b738a515966cea8a9be2d452a026e
Homepage: https://cran.r-project.org/package=molaR
Description: CRAN Package 'molaR' (Dental Surface Complexity Measurement Tools)
 Surface topography calculations of Dirichlet's normal energy, relief index,
 surface slope, and orientation patch count for teeth using scans of enamel
 caps.  Importantly, for the relief index and orientation patch count
 calculations to work, the scanned tooth files must be oriented with the
 occlusal plane parallel to the x and y axes, and perpendicular to the z
 axis. The files should also be simplified, and smoothed in some other
 software prior to uploading into R.

Package: r-cran-mole
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mole_1.0.1-1.ca2004.1_all.deb
Size: 413072
MD5sum: 9993d8d3b608f5a5ee2e53f24c0115d6
SHA1: fcbef59357ffdb152760c46eccda7c118ac0d1e2
SHA256: cf967ebbd12c68b94e8c249f60eab6f893ff332885bd979b206f23103830bc36
SHA512: 2e3ad0b9b0646c2257e7d2ca8ee372d8c5e6bb7fc5816af9c25cd539aaceb3f9df87af35039585f1130bb9b43123ffcf59202e77ce10cb0c6b1b1d9cb911736d
Homepage: https://cran.r-project.org/package=MoLE
Description: CRAN Package 'MoLE' (Modeling Language Evolution)
 Model for simulating language evolution in terms of cultural evolution
 (Smith & Kirby (2008) <DOI:10.1098/rstb.2008.0145>; Deacon 1997). The focus
 is on the emergence of argument-marking systems (Dowty (1991)
 <DOI:10.1353/lan.1991.0021>, Van Valin 1999, Dryer 2002, Lestrade 2015a),
 i.e. noun marking (Aristar (1997) <DOI:10.1075/sl.21.2.04ari>, Lestrade
 (2010) <DOI:10.7282/T3ZG6R4S>), person indexing (Ariel 1999, Dahl (2000)
 <DOI:10.1075/fol.7.1.03dah>, Bhat 2004), and word order (Dryer 2013), but
 extensions are foreseen. Agents start out with a protolanguage (a language
 without grammar; Bickerton (1981) <DOI:10.17169/langsci.b91.109>, Jackendoff
 2002, Arbib (2015) <DOI:10.1002/9781118346136.ch27>) and interact through
 language games (Steels 1997). Over time, grammatical constructions emerge
 that may or may not become obligatory (for which the tolerance principle is
 assumed; Yang 2016). Throughout the simulation, uniformitarianism of
 principles is assumed (Hopper (1987) <DOI:10.3765/bls.v13i0.1834>, Givon
 (1995) <DOI:10.1075/z.74>, Croft (2000), Saffran (2001)
 <DOI:10.1111/1467-8721.01243>, Heine & Kuteva 2007), in which maximal
 psychological validity is aimed at (Grice (1975)
 <DOI:10.1057/9780230005853_5>, Levelt 1989, Gaerdenfors 2000) and language
 representation is usage based (Tomasello 2003, Bybee 2010). In Lestrade
 (2015b) <DOI:10.15496/publikation-8640>, Lestrade (2015c)
 <DOI:10.1075/avt.32.08les>, and Lestrade (2016) <DOI:10.17617/2.2248195>),
 which reported on the results of preliminary versions, this package was
 announced as WDWTW (for who does what to whom), but for reasons of
 pronunciation and generalization the title was changed.

Package: r-cran-molgenisarmadillo
Architecture: all
Version: 2.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-httr, r-cran-urltools, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-molgenisauth, r-cran-arrow, r-cran-rlist, r-cran-httr2, r-cran-readr, r-cran-cli
Suggests: r-cran-stringi, r-cran-withr, r-cran-knitr, r-cran-testthat, r-cran-webmockr, r-cran-mockery, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-molgenisarmadillo_2.9.1-1.ca2004.1_all.deb
Size: 130392
MD5sum: 1be40b5e007da0f8872aaf22e3c5eb8f
SHA1: f6e39cd911fa3a716561ef3cadf0ccc2cd568cf8
SHA256: afbc1fccbf81f5f2e909d274ded5d92f29fbadd957e0a844fb1f8ce676b6f45b
SHA512: 263bbacf92972c14780d5387bf79eaa93e62e30111edc9ef6434af2a8f59afc5035249b4d4ddfe9e16bdf99ed8d06818da0464429bd60e4b87fcd038ba3050a2
Homepage: https://cran.r-project.org/package=MolgenisArmadillo
Description: CRAN Package 'MolgenisArmadillo' (Armadillo Client for the Armadillo Service)
 A set of functions to manage data shared on a 'MOLGENIS Armadillo' server.

Package: r-cran-molgenisauth
Architecture: all
Version: 0.0.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-urltools
Suggests: r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-molgenisauth_0.0.25-1.ca2004.1_all.deb
Size: 17152
MD5sum: 187664790e7a64abd5d18cd692ac1781
SHA1: e13e33f23c9df21a69f45980623feceb919475d4
SHA256: c8d940d045c107bf15c7ddb7ae5e93c616a70a4be69c03d3be511889e4fc95ac
SHA512: dd6016b072d97c0cc91d5339760dbf708aed78bf27c8a51448f2dea6d1ea8ab2c9d25e5969e97ef1becd73c168bf336c2dcfddec80786548675ec6c53c6453dc
Homepage: https://cran.r-project.org/package=MolgenisAuth
Description: CRAN Package 'MolgenisAuth' ('OpenID Connect' Discovery and Authentication)
 Discover 'OpenID Connect' endpoints and authenticate using device flow. Used
 by 'MOLGENIS' packages.

Package: r-cran-molnet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2921
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-dplyr, r-cran-stringr, r-cran-wgcna, r-cran-rfast, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-molnet_0.1.0-1.ca2004.1_all.deb
Size: 2756892
MD5sum: c4ecc4052815390c11b7f9ae96dc5d0e
SHA1: 1cc89e4bcff42105270ecf4e6fcc565a844f79fa
SHA256: 03842bdc6675d41f72ad3dd01d9d0a2db88173cbffbaefb208988534afdb2977
SHA512: 35dc504b9875adc62e1fb1b15e170a842b9d15439790e934de4c45476320157721336e529fa51f57e4e25d49a284056f76a58adb8b6c167ec7fd7e4b9a577114
Homepage: https://cran.r-project.org/package=molnet
Description: CRAN Package 'molnet' (Predicting Differential Drug Response using Multi-Omics Networks)
 Networks provide a means to incorporate molecular interactions into
 reasoning, but on the omics-level, they are currently mainly used to combine
 genomic and proteomic information. We here present a novel network analysis
 pipeline that enables integrative analysis of multi-omics data including
 metabolomics. It allows for comparative conclusions between two different
 conditions, such as tumor subgroups, healthy vs. disease, or generally
 control vs. perturbed.  Our approach focuses on interactions and their
 strength instead of on node properties and includes molecules with low
 abundance and unknown function. We use correlation-induced networks that are
 reduced and combined to form heterogeneous, multi-omics molecular networks.
 Prior information such as metabolite-protein interactions are incorporated.
 A semi-local, path-based integration step denoises the network and ensures
 integrative conclusions. As case studies, we investigate differential drug
 response in breast cancer tumor datasets providing proteomics,
 transcriptomics, phospho-proteomics and metabolomics data and contrasting
 patients with different estrogen receptor status.  Our proposed pipeline
 leverages multi-omics data for differential predictions, e.g. on drug
 response, and includes prior information on interactions.  The case study
 presented in the vignette uses data published by Krug (2020)
 <doi:10.1016/j.cell.2020.10.036>. The package license applies only to the
 software and explicitly not to the included data.

Package: r-cran-momentchi2
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-momentchi2_0.1.5-1.ca2004.1_all.deb
Size: 36420
MD5sum: 8c7cbcb8d75a20ca9f2c3842d4d6dfd2
SHA1: 509c5ef1af56363887217fc0231b5cb35fe4d7fc
SHA256: 7ed785d10cd2535a4242dd840ed5f1a5bc916421b3aa6fba1a061e7948f9855d
SHA512: 0a6aa97c90be0c919fb5cbd30661e3831c5eb45e619c8947ad2a4c0599beff58f3069d44c9fd180ecc560ab0896c7d5d255fb5ef9bc894a145d35c19c474ffa7
Homepage: https://cran.r-project.org/package=momentchi2
Description: CRAN Package 'momentchi2' (Moment-Matching Methods for Weighted Sums of Chi-Squared RandomVariables)
 A collection of moment-matching methods for computing the cumulative
 distribution function of a positively-weighted sum of chi-squared random
 variables. Methods include the Satterthwaite-Welch method,
 Hall-Buckley-Eagleson method, Wood's F method, and the Lindsay-Pilla-Basak
 method.

Package: r-cran-moments
Architecture: all
Version: 0.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-moments_0.14.1-1.ca2004.1_all.deb
Size: 55420
MD5sum: 621580c42eedf4d191a51c4ba0e744cd
SHA1: c450c979a1cf535ec9d2776785776ca576cc1644
SHA256: 085a0d359be0d2de2031304768542a575dec41b974700d4495b008e8a0da40e2
SHA512: 16ec6f59205aa106231146a6ab5114dba43a2c2fe53cd53f574a2aadb102e8031d465e7ea92bdad565f7cb702ac54499851491dc01a7f8f812a0c3c0df988f9e
Homepage: https://cran.r-project.org/package=moments
Description: CRAN Package 'moments' (Moments, Cumulants, Skewness, Kurtosis and Related Tests)
 Functions to calculate: moments, Pearson's kurtosis, Geary's kurtosis and
 skewness; tests related to them (Anscombe-Glynn, D'Agostino, Bonett-Seier).

Package: r-cran-momocs
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2768
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-dendextend, r-cran-dplyr, r-cran-magrittr, r-cran-geometry, r-cran-geomorph, r-cran-ggplot2, r-cran-jpeg, r-cran-mass, r-cran-progress, r-cran-rcolorbrewer, r-cran-sp, r-cran-sf, r-cran-vegan, r-cran-tibble
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-momocs_1.4.1-1.ca2004.1_all.deb
Size: 2498572
MD5sum: e95dd7d565758463e7c357b8f8686ed4
SHA1: d75efa99551b79921461bad7126205fd09eb2cb7
SHA256: 3d9217c29758e64e6dfb8779666e3a3809a7da8467576dca4730623540eafbed
SHA512: ac7fbc4d0d85c7a4eefef46783a1b27643526963d9077aff1076ac12f7198f521bd95077cad28a32753d5bf970b495734847e6bbe89ce5012212dc7a173bd590
Homepage: https://cran.r-project.org/package=Momocs
Description: CRAN Package 'Momocs' (Morphometrics using R)
 The goal of 'Momocs' is to provide a complete, convenient, reproducible and
 open-source toolkit for 2D morphometrics.  It includes most common 2D
 morphometrics approaches on outlines, open outlines, configurations of
 landmarks, traditional morphometrics, and facilities for data preparation,
 manipulation and visualization with a consistent grammar throughout.  It
 allows reproducible, complex morphometrics analyses and other morphometrics
 approaches should be easy to plug in, or develop from, on top of this
 canvas.

Package: r-cran-mompca
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-topicmodels, r-cran-tm, r-cran-matrix, r-cran-slam, r-cran-magrittr, r-cran-dplyr, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-aricode, r-cran-ggplot2, r-cran-tidytext, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-mompca_1.0.1-1.ca2004.1_all.deb
Size: 252140
MD5sum: d3f372fabd2381dc0038ad212e0721f8
SHA1: 99663c682b7cb9fc8a06624801865c078141284b
SHA256: 83cd0f1d187c768501f4e0c5545619e3f23c9743707302f6b906234fac4ed21f
SHA512: 1fcc22ee4b60cb494a64befe4cc5e386e7b895a0b9c4d658f5cfe61f99c52e7bb59903d48bb6bc5690e0dd54f378918cacd4818cc53bcdfb359ce21784866e0b
Homepage: https://cran.r-project.org/package=MoMPCA
Description: CRAN Package 'MoMPCA' (Inference and Clustering for Mixture of Multinomial PrincipalComponent Analysis)
 Cluster any count data matrix with a fixed number of variables, such as
 document/term matrices. It integrates the dimension reduction aspect of
 topic models in the mixture models framework. Inference is done by means of
 a greedy Classification Variational Expectation Maximisation (C-VEM)
 algorithm. An Integrated Classication Likelihood (ICL) model selection is
 designed for selecting the latent dimension (number of topics) and the
 number of clusters. For more details, see the article of Jouvin et. al.
 (2020) <arxiv:1909.00721>.

Package: r-cran-momr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7447
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-gplots, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-momr_1.1-1.ca2004.1_all.deb
Size: 6461500
MD5sum: edf0ace3ffa9de56f500202bd259d0e9
SHA1: f77944f9c15119a969352b8a2e7f07428d9bb1c5
SHA256: 59beb64e79d2011062ff2b09da7926c5969f562477d622bf58f8930d516c9f73
SHA512: a1f98ade74f40af96c0a0f7075e7520503f506fbcda9e2e62d807866ee04b96bb9bd41d53f45b6ec3e3decf37e8cc4d2a0d9a626451693ebe0835fe8919b9aeb
Homepage: https://cran.r-project.org/package=momr
Description: CRAN Package 'momr' (Mining Metaomics Data (MetaOMineR))
 'MetaOMineR' suite is a set of R packages that offers many functions and
 modules needed for the analyses of quantitative metagenomics data. 'momr' is
 the core package and contains routines for biomarker identification and
 exploration.  Developed since the beginning of field, 'momr' has evolved and
 is structured around the different modules such as preprocessing, analysis,
 vizualisation, etc. See package help for more information.

Package: r-cran-monaco
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 15065
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-rstudioapi, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-sass
Filename: pool/dists/focal/main/r-cran-monaco_0.2.2-1.ca2004.1_all.deb
Size: 2125144
MD5sum: a6a1eb9f585cd97e2c70723b50e3088b
SHA1: b55aaf41a67ac5ef24ae93a87da75f7cc97f3169
SHA256: 8191042a6ffc7c8006f6d19aff82127947de093039ac883ad98c1123e5e596b9
SHA512: 52ade6be3374c62e8db9e5cc3c752125a88267d8a29a64dd27a4bf00e723466516afce6af3453c3d22bc1f4cd28f5c0fd7f5b247419fdc3e25babdd3a354fc04
Homepage: https://cran.r-project.org/package=monaco
Description: CRAN Package 'monaco' (The 'Monaco' Editor as a HTML Widget)
 A HTML widget rendering the 'Monaco' editor. The 'Monaco' editor is the code
 editor which powers 'VS Code'. It is particularly well developed for
 'JavaScript'. In addition to the built-in features of the 'Monaco' editor,
 the widget allows to prettify multiple languages, to view the 'HTML'
 rendering of 'Markdown' code, and to view and resize 'SVG' images.

Package: r-cran-monad
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-s7
Suggests: r-cran-maybe, r-cran-purrr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-monad_0.1.1-1.ca2004.1_all.deb
Size: 39520
MD5sum: c825e9c18c9418cca53ecbf02328d56d
SHA1: 7a20841431a69a8f1c188e4085fd5382712aab83
SHA256: 51c0fca5ba88cc2092a728958128064e65686d6137d9511ccca1fa12de0dacb7
SHA512: 367fb1f0f1da85716d8da57ddbe1cf05df434aaea869b16b5b44a6c9df1216fac8c44b5d5a5ee48458914d61125c67cc68ff2ff92084c9ab3508b5020fbcc76a
Homepage: https://cran.r-project.org/package=monad
Description: CRAN Package 'monad' (Operators and Generics for Monads)
 Compose generic monadic function pipelines with %>>% and %>-% based on
 implementing the 'S7' generics fmap() and bind(). Methods are provided for
 the built-in list type and the maybe class from the 'maybe' package. The
 concepts are modelled directly after the Monad typeclass in Haskell, but
 adapted for idiomatic use in R.

Package: r-cran-monan
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2866
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-snowfall
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-monan_1.1.0-1.ca2004.1_all.deb
Size: 2373880
MD5sum: 6f68329e7f88eb664710d8df33658842
SHA1: b93f1d47697770461f3d2ec35f4335bec9504bd4
SHA256: 1463f6937afc53145fb24a4d1f6d077e75d76a71210f2120aa65fad30fd16ae8
SHA512: 0279a2fc889d8a72b199cddcaef9fce452eacadbb213f009d2169b571b9fb6a07e8abab2e2a0efcbf366af37b4540b0faa26ba49dbb08fc7b7d202278502a90e
Homepage: https://cran.r-project.org/package=MoNAn
Description: CRAN Package 'MoNAn' (Mobility Network Analysis)
 Implements the method to analyse weighted mobility networks or distribution
 networks as outlined in: Block, P., Stadtfeld, C., & Robins, G. (2022)
 <doi:10.1016/j.socnet.2021.08.003>.  The purpose of the model is to analyse
 the structure of mobility, incorporating exogenous predictors pertaining to
 individuals and locations known from classical mobility analyses, as well as
 modelling emergent mobility patterns akin to structural patterns known from
 the statistical analysis of social networks.

Package: r-cran-monashtipr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-httr, r-cran-magrittr, r-cran-rlang, r-cran-xml2, r-cran-glue, r-cran-lifecycle, r-cran-purrr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-monashtipr_0.1.0-1.ca2004.1_all.deb
Size: 48264
MD5sum: 9c8ae46259931cc77cb8c9780855c1dc
SHA1: 47fc9854f9e170441b047d2b58e9ce54f6ba8cd3
SHA256: 001d4830647c9562e955a8faa264392ad72d7c14389ffa8672e0871f24955d95
SHA512: 54bd141b9f34ec532ad0aa5ed3b744ebbaa245713a73f9601e31eea04cd26754dd47842c1fe97fd4ba002dc26315c0a15a77f47fec1316b9c8fd2aa6aa013055
Homepage: https://cran.r-project.org/package=monashtipr
Description: CRAN Package 'monashtipr' (An R API Wrapper for the Monash University Probabilistic FootyTipping Competition)
 An API wrapper for the 'Monash University Probabilistic Footy Tipping
 Competition' <https://probabilistic-footy.monash.edu/~footy/index.shtml>.
 Allows users to submit tips directly to the competition from R.

Package: r-cran-mondate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-zoo
Filename: pool/dists/focal/main/r-cran-mondate_1.0-1.ca2004.1_all.deb
Size: 307368
MD5sum: 2d9c0732e914ad9334dd720f8b53cb21
SHA1: 653c035777530c2e6b81763182850d7f2afa52cd
SHA256: 801fcf729746d29ebb622829068f9411ddc04bc2e4d9f4f6d968a48b39b569b7
SHA512: a556b1627457eaf959c8408be56eb155d2889eb142beb78d89c96fe72ac691d59234dac8cef74ce1f1a5228892fa15e59a308f920df8bd6d425a5cce393a7812
Homepage: https://cran.r-project.org/package=mondate
Description: CRAN Package 'mondate' (Keep Track of Dates in Terms of Months)
 Keep track of dates in terms of fractional calendar months per Damien Laker
 "Time Calculations for Annualizing Returns: the Need for Standardization",
 The Journal of Performance Measurement, 2008.  Model dates as of close of
 business.  Perform date arithmetic in units of "months" and "years".  Allow
 "infinite" dates to model "ultimate" time.

Package: r-cran-mondrian
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-dt, r-cran-shiny, r-cran-shinybs
Filename: pool/dists/focal/main/r-cran-mondrian_1.1.2-1.ca2004.1_all.deb
Size: 88852
MD5sum: c12d73e1a239087d60639f83a01edb15
SHA1: 469672c412b9ef7285b8d2b320281800ed763724
SHA256: 0906916fcfe208a8c2c957fb58f99a28c0bbaaed4f8d2b66660bf656e48372b0
SHA512: 62ff30b671ae1f04d3a64bd45659f6c642c1879faa357554492e822fe815638a5cee067ff3ae8a3d9f4238f10f3210012d0052004619fa94de63db8d8b36c266
Homepage: https://cran.r-project.org/package=Mondrian
Description: CRAN Package 'Mondrian' (A Simple Graphical Representation of the Relative Occurrence andCo-Occurrence of Events)
 The unique function of this package allows representing in a single graph
 the relative occurrence and co-occurrence of events measured in a sample.
 As examples, the package was applied to describe the occurrence and
 co-occurrence of different species of bacterial or viral symbionts infecting
 arthropods at the individual level. The graphics allows determining the
 prevalence of each symbiont and the patterns of multiple infections (i.e.
 how different symbionts share or not the same individual hosts).  We named
 the package after the famous painter as the graphical output recalls
 Mondrian’s paintings.

Package: r-cran-mongopipe
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-testthat, r-cran-mongolite, r-cran-nycflights13
Filename: pool/dists/focal/main/r-cran-mongopipe_0.1.2-1.ca2004.1_all.deb
Size: 30200
MD5sum: 412a4a1082e22aef4548e371b65399ff
SHA1: cfa8210cc79c321621b4511171de337e537b6042
SHA256: a23a85ae2bb13ac5a29a736a4b22a2bea68f4e386c66e3966dd6ff7afa356ac1
SHA512: 15519e358cee25370fff89760366b7bf4d02a24ba11c6b0cb68f92f3bac1c40d584c2555b96add5fc872679f536d09fc4c93cd3be63b4796852e06fb5b27b733
Homepage: https://cran.r-project.org/package=mongopipe
Description: CRAN Package 'mongopipe' (Write MongoDB Queries with R)
 Translate R code into MongoDB aggregation pipelines.

Package: r-cran-monitor
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3716
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tuner
Suggests: r-cran-fftw, r-cran-rodbc, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-monitor_1.2-1.ca2004.1_all.deb
Size: 3233320
MD5sum: 1b01733c2a74e8c9c6568b8d7070331d
SHA1: 8413132675a0e1754f2f4c369261e20073f1da6b
SHA256: ed1ca152110896b637309b98845011499ff5ea4ea4ce4b6bf5c824b5a44cb05f
SHA512: e1121f659b5275ddf76498b37414fca507f35f6e983f776644534e42e123a7e1887adb3086fd23142426029190f811f27ab71c5fdfdfd73019d052c815f288a3
Homepage: https://cran.r-project.org/package=monitoR
Description: CRAN Package 'monitoR' (Acoustic Template Detection in R)
 Acoustic template detection and monitoring database interface. Create,
 modify, save, and use templates for detection of animal vocalizations. View,
 verify, and extract results. Upload a MySQL schema to a existing instance,
 manage survey metadata, write and read templates and detections locally or
 to the database.

Package: r-cran-monitos
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-shiny, r-cran-shinydashboard
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-monitos_0.1.5-1.ca2004.1_all.deb
Size: 42944
MD5sum: 7df5d64e7e0f60e2b2290f3d2f532549
SHA1: ac5aa833712ed83c9a23693288cc200b23098bd2
SHA256: 5b2ab69d3de956623888efd30fe0b224a40d6b513c59cac73fa057400d3b25dc
SHA512: 7fcddf5214d760eb55c2196a59a20234192a56ecdd48ebe301ad51c73a4c1d67a3df270f3ac48bb39b5ff1dc06aa88da7d4ba984b7e352f93463a4019f647254
Homepage: https://cran.r-project.org/package=monitOS
Description: CRAN Package 'monitOS' (Monitoring Overall Survival in Pivotal Trials in IndolentCancers)
 These guidelines are meant to provide a pragmatic, yet rigorous, help to
 drug developers and decision makers, since they are shaped by three
 fundamental ingredients: the clinically determined margin of detriment on OS
 that is unacceptably high (delta null); the benefit on OS that is plausible
 given the mechanism of action of the novel intervention (delta alt); and the
 quantity of information (i.e. survival events) it is feasible to accrue
 given the clinical and drug development setting. The proposed guidelines
 facilitate transparent discussions between stakeholders focusing on the
 risks of erroneous decisions and what might be an acceptable trade-off
 between power and the false positive error rate.

Package: r-cran-monmlp
Architecture: all
Version: 1.1.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-optimx
Filename: pool/dists/focal/main/r-cran-monmlp_1.1.5-1-1.ca2004.1_all.deb
Size: 58380
MD5sum: b978724176cddece9638ffb2475373f6
SHA1: c49d175c07c6dcd0d685270489c31bc538b05ba6
SHA256: 106d0f3bd62096eee20cab7e7f321e155ba0249d198ac8f866fbeee191b3ccaa
SHA512: dc748310109cc4a8f1feed40e47ceae4cc220a4ff5de067eac7c029061b69ff3363e8e6b2af334ec3619d7876bbf49e382602eafefbf6f929a2c0b055c29d892
Homepage: https://cran.r-project.org/package=monmlp
Description: CRAN Package 'monmlp' (Multi-Layer Perceptron Neural Network with Optional MonotonicityConstraints)
 Train and make predictions from a multi-layer perceptron neural network with
 optional partial monotonicity constraints.

Package: r-cran-monobin
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-monobin_0.2.4-1.ca2004.1_all.deb
Size: 121320
MD5sum: f341211910462c020c4b6baa89baed95
SHA1: 98a744f864ce265b81dd4046053ec280c60db51c
SHA256: e5c82445e1e3cd01f53dae60d343dfb7e0a9da4a2694926b5ea3820229c59295
SHA512: e81178b329f75584ce498d85cc82d9f47763b93a59880d2e69a6b021dc1466fd4217f8792f5b12a70da229110b6900d2a6109beb1169f0017522d3dc1145bd5d
Homepage: https://cran.r-project.org/package=monobin
Description: CRAN Package 'monobin' (Monotonic Binning for Credit Rating Models)
 Performs monotonic binning of numeric risk factor in credit rating models
 (PD, LGD, EAD) development. All functions handle both binary and continuous
 target variable.  Functions that use isotonic regression in the first stage
 of binning process have an additional feature for correction of minimum
 percentage of observations and minimum target rate per bin.  Additionally,
 monotonic trend can be identified based on raw data or, if known in advance,
 forced by functions' argument. Missing values and other possible special
 values are treated separately from so-called complete cases.

Package: r-cran-monobinshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dt, r-cran-monobin, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-monobinshiny_0.1.0-1.ca2004.1_all.deb
Size: 113144
MD5sum: 56fa17a55f3f8e0c0891c97a83658983
SHA1: 416837fbd6a427893052d37180672ef6183d145c
SHA256: e8c6338fe1d5f7b0d39e71af08797b775ae73eb5f2530e7fad0bbd801d586860
SHA512: 7f1c5f1951c42e3ec5732f440d91c9b4f43674606bf6bcd789ec914a3d961511232cc40adb89804f1837a8cec34dd23686a53fdb85e3a6956ecba8c0d3c52228
Homepage: https://cran.r-project.org/package=monobinShiny
Description: CRAN Package 'monobinShiny' (Shiny User Interface for 'monobin' Package)
 This is an add-on package to the 'monobin' package that simplifies its use.
 It provides shiny-based user interface (UI) that is especially handy for
 less experienced 'R' users as well as for those who intend to perform quick
 scanning of numeric risk factors when building credit rating models. The
 additional functions implemented in 'monobinShiny' that do no exist in
 'monobin' package are: descriptive statistics, special case and outliers
 imputation.  The function descriptive statistics is exported and can be used
 in 'R' sessions independently from the user interface, while special case
 and outlier imputation functions are written to be used with shiny UI.

Package: r-cran-monochromer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-monochromer_0.2.0-1.ca2004.1_all.deb
Size: 80248
MD5sum: e669db5ee422daba58f0cbe2e5dd4a8c
SHA1: ae928921a1f941ff7999d066859710be3a31d874
SHA256: daa81f911d0db098c0a88c7387ddb0613fab95d8d2f6ce3a049119b3ea5bd2ac
SHA512: 4aca3bcc556f8fbe26cc05562146f0c1aae9bc5c2e6e91aba50f9d54f8ef54c576280f557dc2385d16259c9fee3f46a3cd7f5ee337771f4ff05326054a70fd8e
Homepage: https://cran.r-project.org/package=monochromeR
Description: CRAN Package 'monochromeR' (Easily Create, View and Use Monochrome Colour Palettes)
 Generate a monochrome palette from a starting colour for a specified number
 of colours. The package can also be used to display colour palettes in the
 plot window, with or without hex codes and colour labels.

Package: r-cran-monoclust
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-permute, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-mice, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-monoclust_1.2.1-1.ca2004.1_all.deb
Size: 236808
MD5sum: 4aff96d7b8384694c87168a0a80664b8
SHA1: 57235140f10213175c82cb3de0c8d1653b28c49d
SHA256: ac8f36552969704487a3dda69557c587dccacbda457145118e4f3268ffd1f361
SHA512: 6c50c08d81d69e3110b0b568f4f2154f14474b4bf70bd180f8b2cd2e3f9b694a864f05836a87cc323c90bd60425c058ac10f01ad3d39b5ee76845b35c7bc6ba0
Homepage: https://cran.r-project.org/package=monoClust
Description: CRAN Package 'monoClust' (Perform Monothetic Clustering with Extensions to Circular Data)
 Implementation of the Monothetic Clustering algorithm (Chavent, 1998
 <doi:10.1016/S0167-8655(98)00087-7>) on continuous data sets. A lot of
 extensions are included in the package, including applying Monothetic
 clustering on data sets with circular variables, visualizations with the
 results, and permutation and cross-validation based tests to support the
 decision on the number of clusters.

Package: r-cran-monographar
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-circular, r-cran-png, r-cran-raster, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rpart, r-cran-sf, r-cran-shiny, r-cran-shinydashboard, r-cran-shinythemes, r-cran-shinywidgets, r-cran-sp, r-cran-terra
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-monographar_1.3.1-1.ca2004.1_all.deb
Size: 677312
MD5sum: ded07b3e6174312fc79835dd88e76012
SHA1: 094e95707bb4c64bc17799778b4d5d84ff29ca12
SHA256: dff5ff217a16dd8106e47539acfeaf43447cf20232402d58fa1f4b14f1aee225
SHA512: fac9dc670e368b20fedbb5dd03a8dba21bb1a551fb4a2c3f16abda3c22d28e0131718f040643e85ca8b256fea94d1fae93bef8cb8d73e38803e066428881a468
Homepage: https://cran.r-project.org/package=monographaR
Description: CRAN Package 'monographaR' (Taxonomic Monographs Tools)
 Contains functions intended to facilitate the production of plant taxonomic
 monographs. The package includes functions to convert tables into taxonomic
 descriptions, lists of collectors, examined specimens, identification keys
 (dichotomous and interactive), and can generate a monograph skeleton.
 Additionally, wrapper functions to batch the production of phenology
 histograms and distributional and diversity maps are also available.

Package: r-cran-monoinc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compare, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-sitar
Filename: pool/dists/focal/main/r-cran-monoinc_1.1-1.ca2004.1_all.deb
Size: 170616
MD5sum: 80465cb507bf488aa67711aa711e7cbd
SHA1: 1f7a0d062d196cb2c0219aa5e3e83700ddac957e
SHA256: 7c40151b4e5046594e05ad2f3fb4936ea86f14964919d272620ce07260373c36
SHA512: 425ba59096204566fd709ba45182ba435fe37115d676015765b66dab6140f5cc3d52b0dc516a1b66b7f54c19cbfe73606534259f3fe79b1bc7fe01de3749cbb4
Homepage: https://cran.r-project.org/package=MonoInc
Description: CRAN Package 'MonoInc' (Monotonic Increasing)
 Various imputation methods are utilized in this package, where one can flag
 and impute non-monotonic data that is outside of a prespecified range.

Package: r-cran-monophy
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-phytools, r-cran-phangorn, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-testthat, r-cran-paleotree, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-monophy_1.3.2-1.ca2004.1_all.deb
Size: 326844
MD5sum: 574e41e65a5269d651dfeb4f5ff8c8ee
SHA1: 077ce596a487b560572804b925751805cd791fd4
SHA256: 344dc7b4a6d0fd03d9def4a27cdb57e36029233bfdacd1ac82ea4d8bf8e8ecee
SHA512: 952ab5560e88a3b668078d7fe9f00ac41a6621920fc880b03cbe24b465335fba578dd5c79abdb7494bb63e6e45db21082c9fe1cfad221ec9cab6a514bfb2f721
Homepage: https://cran.r-project.org/package=MonoPhy
Description: CRAN Package 'MonoPhy' (Explore Monophyly of Taxonomic Groups in a Phylogeny)
 Requires rooted phylogeny as input and creates a table of genera, their
 monophyly-status, which taxa cause problems in monophyly etc. Different
 information can be extracted from the output and a plot function allows
 visualization of the results in a number of ways.  "MonoPhy: a simple R
 package to find and visualize monophyly issues." Schwery, O. & O'Meara, B.C.
 (2016) <doi:10.7717/peerj-cs.56>.

Package: r-cran-monotonehazardratio
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fdrtool, r-cran-kernsmooth, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-monotonehazardratio_0.2.0-1.ca2004.1_all.deb
Size: 36348
MD5sum: aeb7aa34e51db6bf13098448fa35783f
SHA1: 07a184852575811f07e9f907b04d2b14df3f672a
SHA256: d8187b01471f215c27afb438eb18bf44943eb7a983e9f61732c4a99ddb871a59
SHA512: dca45f5f259a73df97aac4a1feb9edba6ca7cf79b8701cd1d40820f9023ab27e18097331ac0920b2fc4eca0cd671f7222f059db3c0dedabe1931f938332e4c25
Homepage: https://cran.r-project.org/package=MonotoneHazardRatio
Description: CRAN Package 'MonotoneHazardRatio' (Nonparametric Estimation and Inference of a Monotone HazardRatio Function)
 Nonparametric estimation and inference of a non-decreasing monotone hazard
 ratio from a right censored survival dataset.  The estimator is based on a
 generalized Grenander typed estimator, and the inference procedure relies on
 direct plugin estimation of a first order derivative.  More details please
 refer to the paper "Nonparametric inference under a monotone hazard ratio
 order" by Y. Wu and T. Westling (2023) <doi:10.1214/23-EJS2173>.

Package: r-cran-monotonicity
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmtest, r-cran-mass, r-cran-sandwich
Suggests: r-cran-testthat, r-cran-xts
Filename: pool/dists/focal/main/r-cran-monotonicity_1.3.1-1.ca2004.1_all.deb
Size: 105776
MD5sum: 4cd71e6d2bf558cc24f979983d21bfa2
SHA1: 2d0fe326f49d306ee32152174fa19a3d28647469
SHA256: c8b45e8a9ee730e4e0c7cab375de96d812401a844cad94b5256b31434dc310e6
SHA512: 34eefe0cd81cf22277f4e57a83962a9725edc7a4f77415512df597daa202793161801e57429e877e5c71a7ff0aa5dc264990f77de2ff358ed3a81d585992600a
Homepage: https://cran.r-project.org/package=monotonicity
Description: CRAN Package 'monotonicity' (Test for Monotonicity in Expected Asset Returns, Sorted byPortfolios)
 Test for monotonicity in financial variables sorted by portfolios. It is
 conventional practice in empirical research to form portfolios of assets
 ranked by a certain sort variable. A t-test is then used to consider the
 mean return spread between the portfolios with the highest and lowest values
 of the sort variable. Yet comparing only the average returns on the top and
 bottom portfolios does not provide a sufficient way to test for a monotonic
 relation between expected returns and the sort variable. This package
 provides nonparametric tests for the full set of monotonic patterns by
 Patton, A. and Timmermann, A. (2010) <doi:10.1016/j.jfineco.2010.06.006> and
 compares the proposed results with extant alternatives such as t-tests,
 Bonferroni bounds, and multivariate inequality tests through empirical
 applications and simulations.

Package: r-cran-monte.carlo.se
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-monte.carlo.se_0.1.1-1.ca2004.1_all.deb
Size: 170224
MD5sum: c749b3f136efa3fcdc4210343b9b32c0
SHA1: 399442c955f17607d6177cb4d148480741c69148
SHA256: 294a21ce1ee67a1812d92c12715ef13f17c1d87c4c80de7a17cc9da0c090660c
SHA512: 4d3b9841ef6849d71072312905b832c29bcecc87981ef9160b1af7b0fa4e817f2df0ba9dc4de44bc6a4e2b6da65204c8fd5c7aa2011a4cdc32eec2980d301abc
Homepage: https://cran.r-project.org/package=Monte.Carlo.se
Description: CRAN Package 'Monte.Carlo.se' (Monte Carlo Standard Errors)
 Computes Monte Carlo standard errors for summaries of Monte Carlo output.
 Summaries and their standard errors are based on columns of Monte Carlo
 simulation output. Dennis D. Boos and Jason A. Osborne (2015)
 <doi:10.1111/insr.12087>.

Package: r-cran-montecarlo
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-montecarlo_1.0.6-1.ca2004.1_all.deb
Size: 98216
MD5sum: 91c7bb4df434aee483abf3fa9e6944d2
SHA1: 0cfb75a042985231494548afbe45e219e9531fce
SHA256: 7f1d0621bcc0f425280b23436c03f6f5f68988437a4d0d7017d944430e75c11b
SHA512: fb7eb765f6e7f8ab8f05a7368f0db0c50deb695451d09c4557deab10697d75750b849bff9a31b96b4b79d048aa544c018b65c73abebcaaca1258b4bd5965dc3e
Homepage: https://cran.r-project.org/package=MonteCarlo
Description: CRAN Package 'MonteCarlo' (Automatic Parallelized Monte Carlo Simulations)
 Simplifies Monte Carlo simulation studies by automatically setting up loops
 to run over parameter grids and parallelising the Monte Carlo repetitions.
 It also generates LaTeX tables.

Package: r-cran-montecarlosem
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-montecarlosem_0.0.8-1.ca2004.1_all.deb
Size: 67064
MD5sum: 03b7d0d65eb3a318e770fb363ce04824
SHA1: e9e286a9cbf5a009597d3bebc37cbc26c94abc75
SHA256: 520074e9950c405ca9529bdca16f6e17a431f9d2152e2c75215afc688c0b0cb6
SHA512: 37432ae8f09cc8a3c8545224557671039a08d09ccb7da9a1d6f7052ce06915a8fb83c33d40c4e42b4a39fc3e52e86e057429b6363ce1bb80780e0276e03f7de5
Homepage: https://cran.r-project.org/package=MonteCarloSEM
Description: CRAN Package 'MonteCarloSEM' (Monte Carlo Data Simulation Package)
 Monte Carlo simulation allows testing different conditions given to the
 correct structural equation models. This package runs Monte Carlo
 simulations under different conditions (such as sample size or normality of
 data). Within the package data sets can be simulated and run based on the
 given model.  First, continuous and normal data sets are generated based on
 the given model. Later Fleishman's power method (1978)
 <DOI:10.1007/BF02293811> is used to add non-normality if exists.  When data
 generation is completed (or when generated data sets are given) model test
 can also be run.  Please cite as "Orçan, F. (2021). MonteCarloSEM: An R
 Package to Simulate Data for SEM. International Journal of Assessment Tools
 in Education, 8 (3), 704-713."

Package: r-cran-moode
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-far, r-cran-progressr, r-cran-rdpack, r-cran-rlang
Suggests: r-cran-dofuture, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-moode_1.0.1-1.ca2004.1_all.deb
Size: 138500
MD5sum: 6931c86624f18090e2f0e420d12b0d3c
SHA1: aa9fb152da0707ff63e486fee908b58e3f153e8b
SHA256: e6be92dd38672b0b24ec7622cb22c2e07bec36756a4db0bef1050c35379cdcf1
SHA512: fc4b15897a95e2f483759af6d7751b252b8023d1cfd39c7adc12d3a5d9fc47ba10ed9debdb22af7315cc5aa57c1817f13580cc127054b5d8efd268af499a28b6
Homepage: https://cran.r-project.org/package=MOODE
Description: CRAN Package 'MOODE' (Multi-Objective Optimal Design of Experiments)
 Provides functionality to generate compound optimal designs for targeting
 the multiple experimental objectives directly, ensuring that the full set of
 research questions is answered as economically as possible. Designs can be
 found using point or coordinate exchange algorithms combining estimation,
 inference and lack-of-fit criteria that account for model inadequacy.
 Details and examples are given by Koutra et al. (2024)
 <doi:10.48550/arXiv.2412.17158>.

Package: r-cran-moodef
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-blastula, r-cran-dplyr, r-cran-glue, r-cran-magick, r-cran-readr, r-cran-readxl, r-cran-snakecase, r-cran-tibble, r-cran-tidyr, r-cran-xlsx, r-cran-xml2
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-moodef_1.2.0-1.ca2004.1_all.deb
Size: 421812
MD5sum: db4361ba0a99da2459a5005f8d85e1dd
SHA1: fe7b9cf54db1c9afa82177a64d7e6a15a77cf275
SHA256: 26af41ecb7cf01eaf2c20c3dc5abbb3258c2f167a9f3b4240ebb5fd8b3567fc1
SHA512: 86f6225d6358fbe8899ba1e18572982bdd67f6f15dfe3b59b587d03cf08ab7189b88639b88ef073a68ca4b4b62395f51c234a37d73a45fd111f212160544c1b2
Homepage: https://cran.r-project.org/package=moodef
Description: CRAN Package 'moodef' (Defining 'Moodle' Elements from R)
 The main objective of this package is to support the definition of 'Moodle'
 elements taking advantage of the power that R offers. In this first version,
 it allows the definition of quizzes to be included in the question bank.

Package: r-cran-moodlequizr
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64, r-cran-mvtnorm, r-cran-shiny, r-cran-nmcalc
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-knitr, r-cran-shinywidgets, r-cran-shinymatrix
Filename: pool/dists/focal/main/r-cran-moodlequizr_2.1.1-1.ca2004.1_all.deb
Size: 279860
MD5sum: f55227cbb83398fd5c299462e9bce0e1
SHA1: efa80a9d933709b3c65e8708b07204444418727f
SHA256: 7e79db3275ad16f21cfe3d78a58da1eab3748da3a6474824cb0bf0e0a5cb2325
SHA512: 81ef6a577c118a82be898f07ade1639291e4ad8468f2d2cf47b2393c514fec4d4f0c0868f447258edf2ef02fd07d21a4ec7dddbd129e36878bb8d89ed322c0d6
Homepage: https://cran.r-project.org/package=moodlequizR
Description: CRAN Package 'moodlequizR' (Easily Create Fully Randomized 'Moodle' Test Questions)
 Routines to generate fully randomized 'moodle' quizzes. It also contains 15
 examples and a 'shiny' app.

Package: r-cran-moodler
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-ggplot2, r-cran-tidytext, r-cran-ggwordcloud, r-cran-stringr, r-cran-rlang, r-cran-scales, r-cran-rmariadb, r-cran-glue, r-cran-config, r-cran-anytime, r-cran-cli, r-cran-lifecycle, r-cran-rsqlite, r-cran-usethis, r-cran-rpostgres
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettyunits, r-cran-lubridate, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-moodler_1.0.1-1.ca2004.1_all.deb
Size: 98588
MD5sum: be5ff3e280b3c011fa591106af811de9
SHA1: 782d255d65b08842ec0add4169aaf1598bb7a67d
SHA256: 8085d559d346f5ddc3f8faec7ee2f619cbe8360f3de36d75316f6eecf4f90066
SHA512: f2810874c19a42b55fef0361d5691fe548742504035bcb35f8ea919aa7d2806224694c4c6ecc4fd26b54f5451551712403f7c25e3abc69cb34016086ea819e43
Homepage: https://cran.r-project.org/package=moodleR
Description: CRAN Package 'moodleR' (Helper Functions to Work with 'Moodle' Data)
 A collection of functions to connect to a 'Moodle' database, cache relevant
 tables locally and generate learning analytics.  'Moodle' is an open source
 Learning Management System (LMS) developed by MoodleHQ. For more information
 about Moodle, visit <https://moodle.org>.

Package: r-cran-moonbook
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1823
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nortest, r-cran-survival, r-cran-sjmisc, r-cran-stringr, r-cran-magrittr, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-sjlabelled, r-cran-ztable, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-moonbook_0.3.1-1.ca2004.1_all.deb
Size: 1242456
MD5sum: 3c3330af03abdaa3b112e449ed113950
SHA1: fafaae757784df22540124a274340bc799ee0da1
SHA256: 38bd83f84f57725af591dcd847845c57136fcad678f47f5a81079b24ec497ebb
SHA512: e5629a0e27e5c6fcca7e4a14b846feaaaf81a9a01c77b72ba3f32d7508d1140a8631f1b98488e13247544bedca1c2df00df8b4e20d11e26692c30243b1aa96df
Homepage: https://cran.r-project.org/package=moonBook
Description: CRAN Package 'moonBook' (Functions and Datasets for the Book by Keon-Woong Moon)
 Several analysis-related functions for the book entitled "R statistics and
 graph for medical articles" (written in Korean), version 1, by Keon-Woong
 Moon with Korean demographic data with several plot functions.

Package: r-cran-moonboot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-moonboot_1.0.1-1.ca2004.1_all.deb
Size: 63704
MD5sum: afc79c206315276c594cb4f01dcaf347
SHA1: 4551124680dfe94aebc5ea9f5d8479375b1552e1
SHA256: 1b1ee7865955f7ed1e3e9a7e885e8c5e5956a64cd6b491f31d56fe5108a8b090
SHA512: 33a84ff7ac03ef4255efcb9eee9a3bd0b3da821ac18befb2dd9fa7edc7f8aff5909018c4b416b46c9731a16ee2f98aab2cc43a84f4ef3cc5a1a426e403b6a101
Homepage: https://cran.r-project.org/package=moonboot
Description: CRAN Package 'moonboot' (m-Out-of-n Bootstrap Functions)
 Functions and examples based on the m-out-of-n bootstrap suggested by
 Politis, D.N. and Romano, J.P. (1994) <doi:10.1214/aos/1176325770>.
 Additionally there are functions to estimate the scaling factor tau and the
 subsampling size m. For a detailed description and a full list of
 references, see Dalitz, C. and Lögler, F. (2024)
 <doi:10.48550/arXiv.2412.05032>.

Package: r-cran-mooplot
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-collapse, r-cran-matrixstats, r-cran-moocore
Suggests: r-cran-extrafont, r-cran-viridislite, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mooplot_0.1.1-1.ca2004.1_all.deb
Size: 164416
MD5sum: 688fdb2957aab115292128fd43ab8409
SHA1: f4ec5672f3dc82f4a4eb63a48133fa00f8445a38
SHA256: 9d35b4acf7cc174a4bddaf1ba47ddb24b3210385984bcb03510f3a512ebc2c82
SHA512: 0b300f8e61dd1debe993afa99dce188442ecf7bb9947664e415ca0abd9c961a6009282196f9eb329bb69608813395143ed9206de51c3b9eb62531e9f45f82981
Homepage: https://cran.r-project.org/package=mooplot
Description: CRAN Package 'mooplot' (Graphical Visualizations for Multi-Objective Optimization)
 Visualization of multi-dimensional data arising in multi-objective
 optimization, including plots of the empirical attainment function (EAF), M.
 López-Ibáñez, L. Paquete, and T. Stützle (2010)
 <doi:10.1007/978-3-642-02538-9_9>, and symmetric Vorob'ev expectation and
 deviation, M. Binois, D. Ginsbourger, O. Roustant (2015)
 <doi:10.1016/j.ejor.2014.07.032>, among others.

Package: r-cran-moose
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-moose_0.0.1-1.ca2004.1_all.deb
Size: 14540
MD5sum: 75cef83bb7e1b06a82edd16769c5e1a5
SHA1: d95f5508857da3610ce3a323713163bdb8715997
SHA256: 09b00b366e8c791594771437ae1a1151d59ac1466646a26c1bfe92b27b636152
SHA512: 3a3e79393fbabbad8b8bb36cb00294c9e6a37343636d895afb7a835fdf631bb4e581dd398c4ffaf1d1ef2ee17619449a21cfe5d2f412565a0f7c3a3f4f22419f
Homepage: https://cran.r-project.org/package=moose
Description: CRAN Package 'moose' (Mean Squared Out-of-Sample Error Projection)
 Projects mean squared out-of-sample error for a linear regression based upon
 the methodology developed in Rohlfs (2022) <doi:10.48550/arXiv.2209.01493>.
 It consumes as inputs the lm object from an estimated OLS regression (based
 on the "training sample") and a data.frame of out-of-sample cases (the "test
 sample") that have non-missing values for the same predictors. The test
 sample may or may not include data on the outcome variable; if it does, that
 variable is not used. The aim of the exercise is to project what what mean
 squared out-of-sample error can be expected given the predictor values
 supplied in the test sample. Output consists of a list of three elements:
 the projected mean squared out-of-sample error, the projected out-of-sample
 R-squared, and a vector of out-of-sample "hat" or "leverage" values, as
 defined in the paper.

Package: r-cran-mopac
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1933
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-lubridate, r-cran-tibble, r-cran-readr, r-cran-hms
Filename: pool/dists/focal/main/r-cran-mopac_0.1.0-1.ca2004.1_all.deb
Size: 1264924
MD5sum: e92b51233d46e341fbdd821d0cb4f485
SHA1: 3255764efa6b703567eeab1d1e5a750576701807
SHA256: 3df54c454088fc73f842534b2bf761a1578ddcfea4f25638054babd6a739813e
SHA512: bddf1fa36ef44fb570341c9032bb8dfece321f23fbc3a4165a1d6502bdac34c3e77d472488566aa011c3b7c34a07813ef5ac8d620f74fdf8ee37eee07e2bf609
Homepage: https://cran.r-project.org/package=mopac
Description: CRAN Package 'mopac' (Collection of Datasets Pertaining to Loop 1 "Mopac")
 Provides real & simulated datasets containing time-series traffic
 observations and additional information pertaining to Loop 1 "Mopac" located
 in Austin, Texas.

Package: r-cran-mopsocd
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-mopsocd_0.5.1-1.ca2004.1_all.deb
Size: 35080
MD5sum: 96f11201a3cfadc06e124c2877782c2d
SHA1: 37c2f28562a1bffd5692727d1b9b2b3fae7d621c
SHA256: b9b339b9103fd3bfca8b7f32d8281f525289ed75414a9b251e5e958f57214cf5
SHA512: afb97d13c12aadc0a8524e5e9ef9a9a2a7f6925a763a5c9185d0c8b30f71ceec3642a5ec2b9c30f566e8ba5e2be617117ff5e637fc4a13e086dca27583e2b55c
Homepage: https://cran.r-project.org/package=mopsocd
Description: CRAN Package 'mopsocd' (MOPSOCD: Multi-objective Particle Swarm Optimization withCrowding Distance)
 A multi-objective optimization solver based on particle swarm optimization
 with crowding distance.

Package: r-cran-moqa
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-gplots, r-cran-readr
Filename: pool/dists/focal/main/r-cran-moqa_2.0.0-1.ca2004.1_all.deb
Size: 81852
MD5sum: 6187dff599ec4ede63c90ec463ce47b5
SHA1: d57e64c43370e90b43336122472a4068789a6949
SHA256: 3b8b004b41039d3000afc5812ef6799b2c927909cc54a6a9e633eb398285d01e
SHA512: 5f3918c95fd7a5e654cc54120916af49c4552f438fa024841c6e10c0cbb5e9f98c8ab4f89b150fcdd8fbd2ad970c403c975071897300a7e94df29ab7cf2677df
Homepage: https://cran.r-project.org/package=MOQA
Description: CRAN Package 'MOQA' (Basic Quality Data Assurance for Epidemiological Research)
 With the provision of several tools and templates the MOSAIC project
 (DFG-Grant Number HO 1937/2-1) supports the implementation of a central data
 management in epidemiological research projects. The 'MOQA' package enables
 epidemiologists with none or low experience in R to generate basic data
 quality reports for a wide range of application scenarios. See
 <https://mosaic-greifswald.de/> for more information. Please read and cite
 the corresponding open access publication (using the former package-name) in
 METHODS OF INFORMATION IN MEDICINE by M. Bialke, H. Rau, T. Schwaneberg, R.
 Walk, T. Bahls and W. Hoffmann (2017) <doi:10.3414/ME16-01-0123>.
 <https://methods.schattauer.de/en/contents/most-recent-articles/issue/2483/issue/special/manuscript/27573/show.html>.

Package: r-cran-moranajp
Architecture: all
Version: 0.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-moranajp_0.9.7-1.ca2004.1_all.deb
Size: 1416144
MD5sum: 6d81727e1591d5d4f813dab17e3d1aaf
SHA1: 2ab3ae03edb90d9e7b2f66e961ad67f7bfcc59aa
SHA256: bb389a3426242c004f311a9c950f8daf54caaeaaa04d35451a2510d0ea20b457
SHA512: 604015e374861c2f8b30f0f8feb9e37613bcc5018307b3ce064b049989f603cbe893b414ba46775bd3a192fa19cfa5a97b0ea4ff8312118c5c9be9f096440f39
Homepage: https://cran.r-project.org/package=moranajp
Description: CRAN Package 'moranajp' (Morphological Analysis for Japanese)
 Supports morphological analysis for Japanese by using 'MeCab'
 <https://taku910.github.io/mecab/>, 'Sudachi'
 <https://github.com/WorksApplications/Sudachi>, 'Chamame'
 <https://chamame.ninjal.ac.jp/>, or 'Ginza'
 <https://github.com/megagonlabs/ginza>.  Can input a data.frame and obtain
 all results of 'MeCab' and the row number of the original data.frame as a
 text id.

Package: r-cran-morder
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-morder_0.1-1.ca2004.1_all.deb
Size: 33624
MD5sum: c6ed35348d39298d3ab5879d571137c9
SHA1: 1cf4f7857e03a414478704104144eb4b51d71cc5
SHA256: c1533114af63fcbb9edf010d45e56f00cca039b873de480ed7ca73a8e5e68edc
SHA512: 341a775d80830b40b7bfd13d3eba46cbdf16fcf3e60eb0f29970a9d24f3d364f46c0bce7dc04299d63a05354c3e46d1666c66d9a8f57045a87a830e4e096fb60
Homepage: https://cran.r-project.org/package=MOrder
Description: CRAN Package 'MOrder' (Check Time Homogeneity and Markov Chain Order)
 MOrder provide functions to check time homogeneity and order of markov chain
 by using chi-squared test, AIC value and BIC value.

Package: r-cran-moreparty
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2272
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-party, r-cran-partykit, r-cran-varimp, r-cran-plyr, r-cran-foreach, r-cran-measures, r-cran-mass, r-cran-iml, r-cran-pdp, r-cran-vip, r-cran-ggplot2, r-cran-rlang, r-cran-shiny, r-cran-shinywidgets, r-cran-rclipboard, r-cran-dt, r-cran-datamods, r-cran-phosphoricons
Suggests: r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-rmdformats, r-cran-descriptio, r-cran-rcolorbrewer, r-cran-caret, r-cran-proc, r-cran-dplyr, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-moreparty_0.4-1.ca2004.1_all.deb
Size: 1348560
MD5sum: 3c6349d9dd0522f3089f58143445eb01
SHA1: e6a01e18339522d25f5c3ec5576deab1a4423255
SHA256: bfc43cfced9ad546391d6fc2d4aa81f38914c2b344526cebebd3836cb930d62f
SHA512: b7effd822a28adca42fb1d28803766d2216d2ba278519c4eda59531099f3d977a1865312a7b0ce56183e09fbc45f1e21b3ecff22007dd3d20065ea04dbe18b80
Homepage: https://cran.r-project.org/package=moreparty
Description: CRAN Package 'moreparty' (A Toolbox for Conditional Inference Trees and Random Forests)
 Additions to 'party' and 'partykit' packages : tools for the interpretation
 of forests (surrogate trees, prototypes, etc.), feature selection (see
 Gregorutti et al (2017) <arXiv:1310.5726>, Hapfelmeier and Ulm (2013)
 <doi:10.1016/j.csda.2012.09.020>, Altmann et al (2010)
 <doi:10.1093/bioinformatics/btq134>) and parallelized versions of
 conditional forest and variable importance functions. Also modules and a
 shiny app for conditional inference trees.

Package: r-cran-morepls
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pls, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-descriptio
Suggests: r-cran-plsvarsel, r-cran-ggforce
Filename: pool/dists/focal/main/r-cran-morepls_0.2.1-1.ca2004.1_all.deb
Size: 178464
MD5sum: 386d6fb52d992b970d015e82d9404794
SHA1: a4fd142e1166dfcf8da658738baf972389b5a168
SHA256: f280dbdb8257686d838347b72d5fcceab48f9adaa3726314e599779644415572
SHA512: d8078bf8ed72a19dcb301d0b816cddb3eef3d65dc5dc43e9b1943e791819e917d58d11f7f65bf2e343fc41848f20a26bb4b55609e28f4f8acb12412792580aa1
Homepage: https://cran.r-project.org/package=morepls
Description: CRAN Package 'morepls' (Interpretation Tools for Partial Least Squares Regression)
 Various kinds of plots (observations, variables, correlations, weights,
 regression coefficients and Variable Importance in the Projection) and aids
 to interpretation (coefficients, Q2, correlations, redundancies) for partial
 least squares regressions computed with the 'pls' package, following
 Tenenhaus (1998, ISBN:2-7108-0735-1).

Package: r-cran-morestopwords
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4562
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-cld2
Filename: pool/dists/focal/main/r-cran-morestopwords_0.2.0-1.ca2004.1_all.deb
Size: 710480
MD5sum: 22aafc7d5633f6ff5101b82013ddfab3
SHA1: 6a35aec62aebc0060f2dd5e797cdc637714e7f4d
SHA256: 66e8a765ee7252050f13eb7dc40e17c61347bafea7bee435865a196ceb8e0b9d
SHA512: 6f289668f49d8c5918e78a1ac5d5ce7c4702c116f1fe3187ff3846a071758ebf538dd88faf21ff232cfd3d0ae383b284d0ff1ef1549cc381d410a859f555ea8d
Homepage: https://cran.r-project.org/package=morestopwords
Description: CRAN Package 'morestopwords' (All Stop Words in One Place)
 A standalone package combining several stop-word lists for 65 languages with
 a median of 329 stop words for language and over 1,000 entries for English,
 Breton, Latin, Slovenian, and Ancient Greek! The user automatically gets
 access to all the unique stop words contained in: the 'StopwordISO'
 repository; the 'Natural Language Toolkit' for 'python'; the 'Snowball'
 stop-word list; the R package 'quanteda'; the 'marimo' repository; the
 'Perseus' project; and A. Berra's list of stop words for Ancient Greek and
 Latin.

Package: r-cran-morgenstemning
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-morgenstemning_1.0-1.ca2004.1_all.deb
Size: 29384
MD5sum: 9d6a50ae34d85988cdf098ac8a70c288
SHA1: 5d5ba7fe117493cb4537cee838d19b0e1e600ad2
SHA256: f8769a4692afa8851a8712b2076741c6ce2c5918693697b498cef8a99132e437
SHA512: 0c62b219fce56593ff081a91b59803a3cb04895d591ce9594c164329a4608a2d1ea9ea8fb2eb1dfc6acc290cb6174f5fc2d232578c406fa641f86d94e61f37b2
Homepage: https://cran.r-project.org/package=morgenstemning
Description: CRAN Package 'morgenstemning' (Color schemes compatible with red-green color perceptiondifficulties)
 This package is a port of the MATLAB colourmap functions accompanying the
 paper M. Geissbuehler and T. Lasser, "How to display data by color schemes
 compatible with red-green color perception deficiencies," Opt. Express 21,
 9862-9874 (2013) to R.

Package: r-cran-morph
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl, r-cran-reshape2, r-cran-igraph, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-morph_1.1.0-1.ca2004.1_all.deb
Size: 76756
MD5sum: e7d37431245031ef9f21f0c68534c539
SHA1: e029f4f2a5d396bf464d8f434b32229f7c91adf8
SHA256: 4fae37bbe53cb8bb5a8b2a3cada96c6ebf57daee4987243d3ccac2a0ad740287
SHA512: df0d9f0f92d95ac0f31341560d6c8113f58e3be906736d04679372c9b5c592b3b528d3175db7979b42414d764e6d8e431de90c037bc12767205c5160c08e7f40
Homepage: https://cran.r-project.org/package=morph
Description: CRAN Package 'morph' (3D Segmentation of Voxels into Morphologic Classes)
 Automatically segments a 3D array of voxels into mutually exclusive
 morphological elements. This package extends existing work for segmenting 2D
 binary raster data. A paper documenting this approach has been accepted for
 publication in the journal Landscape Ecology. Detailed references will be
 updated here once those are known.

Package: r-cran-morphemepiece.data
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3540
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-morphemepiece.data_1.2.0-1.ca2004.1_all.deb
Size: 3590256
MD5sum: 27b39a8d0ab9bb34a4e267d66420b2e7
SHA1: ce235d6ef404e07da57f2b070a807f002da67adc
SHA256: f7fbb61650aa16c643b854f3cac15a473a5a206b5e5bc6e344223002ac13eda8
SHA512: ca7c5d971eb667e5c1d9fbc0bfe4979e8c3e95856adc24c5a7064d0af014c3e677675bd81b4b4c33f9d735bdfa52f7966ddb4ed66e253ac0b435a3e93a80e57e
Homepage: https://cran.r-project.org/package=morphemepiece.data
Description: CRAN Package 'morphemepiece.data' (Data for Morpheme Tokenization)
 Provides data about morphemes, the smallest units of meaning in a language.

Package: r-cran-morphemepiece
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dlr, r-cran-fastmatch, r-cran-magrittr, r-cran-memoise, r-cran-morphemepiece.data, r-cran-piecemaker, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-here, r-cran-knitr, r-cran-remotes, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-morphemepiece_1.2.3-1.ca2004.1_all.deb
Size: 66612
MD5sum: 278a8660e70531959fa2d070ff7bfed1
SHA1: 7eb0973ef483a02c3da13efcea284b20b591278d
SHA256: a5b009e169cb6257ce09b7fcbefc431413fdc9c36ad64cc47b848dac9fc2db0d
SHA512: e98afa5f100b5bf59425135effcd6b684a843ab914cb45fef07fbae388feb3d52ab93338dc748f3ff0aee10e0959c75d8f66c23878edfb2ed2e5fb83aa619424
Homepage: https://cran.r-project.org/package=morphemepiece
Description: CRAN Package 'morphemepiece' (Morpheme Tokenization)
 Tokenize text into morphemes. The morphemepiece algorithm uses a lookup
 table to determine the morpheme breakdown of words, and falls back on a
 modified wordpiece tokenization algorithm for words not found in the lookup
 table.

Package: r-cran-morphomap
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4965
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arothron, r-cran-lattice, r-cran-mgcv, r-cran-rvcg, r-cran-morpho, r-cran-oce, r-cran-sp, r-cran-geometry, r-cran-rgl, r-cran-colorramps, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-morphomap_1.5-1.ca2004.1_all.deb
Size: 5047580
MD5sum: 0dce5bfea55bdd864f9f18504290d194
SHA1: 2a37f361a1b9087fd4754efe033da4865991b3ab
SHA256: 98cc6847b5bc25c5e210aa3d6f39f2fe7438f52f0ab9f37a26ab0a7154bfab98
SHA512: f47ab8567e325508329a7bced5331c0503a32137a258d2692ace00c49caa4c2b5fc45c1fcfb6bb934f768c4f45464a3f25b585b7894e6ca005a4d51c1262da7b
Homepage: https://cran.r-project.org/package=morphomap
Description: CRAN Package 'morphomap' (Morphometric Maps, Bone Landmarking and Cross Sectional Geometry)
 Extract cross sections from long bone meshes at specified intervals along
 the diaphysis. Calculate two and three-dimensional morphometric maps,
 cross-sectional geometric parameters, and semilandmarks on the periosteal
 and endosteal contours of each cross section.

Package: r-cran-morphomenses
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dendextend, r-cran-geomorph, r-cran-cluster, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-morphomenses_1.0.3-1.ca2004.1_all.deb
Size: 156168
MD5sum: ff28c49d7b314ac672ca140383639c4e
SHA1: d67277e14014e65f95c123fcc87eaedda2a173c0
SHA256: 5df7d8b87b666e29723e25c7bd6514611d55b94c87e25dc73cbbc25da7ef19a6
SHA512: af979b3da5d9c0fe70379af975391c27413b9d6a34c2830c85a142e1df5c5978c29c42e8bba316813779d4384b1e87783fa9406f91a69342d3aa089015cf8286
Homepage: https://cran.r-project.org/package=moRphomenses
Description: CRAN Package 'moRphomenses' (Geometric Morphometric Tools to Align, Scale, and Compare"Shape" of Menstrual Cycle Hormones)
 Mitteroecker & Gunz (2009) <doi:10.1007/s11692-009-9055-x> describe how
 geometric morphometric methods allow researchers to quantify the size and
 shape of physical biological structures. We provide tools to extend
 geometric morphometric principles to the study of non-physical structures,
 hormone profiles, as outlined in Ehrlich et al (2021)
 <doi:10.1002/ajpa.24514>. Easily transform daily measures into multivariate
 landmark-based data. Includes custom functions to apply multivariate methods
 for data exploration as well as hypothesis testing.  Also includes 'shiny'
 web app to streamline data exploration. Developed to study menstrual cycle
 hormones but functions have been generalized and should be applicable to any
 biomarker over any time period.

Package: r-cran-morphoregions
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1915
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-cluster, r-cran-scales, r-cran-ggplot2, r-cran-chk, r-cran-pbapply
Suggests: r-cran-viridislite, r-cran-patchwork, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-morphoregions_0.1.0-1.ca2004.1_all.deb
Size: 1295704
MD5sum: 4f447ddabbc31d3604df0738c662b42a
SHA1: 094446c6714ba4e61911088f4d599a5d693bda18
SHA256: 9697be6efc1a40541d3bec0e65a2bf28902f7affa08525162a8e6eebbc4a602a
SHA512: 06db11459776f871e19aeb4f8fe0edab3d59f3298d91ac6e3f6b7f0e5420669acf4d08d177ce69611eb91a655c3482a89a421c20fe630cb6c2e205c0be379703
Homepage: https://cran.r-project.org/package=MorphoRegions
Description: CRAN Package 'MorphoRegions' (Analysis of Regionalization Patterns in Serially HomologousStructures)
 Computes the optimal number of regions (or subdivisions) and their position
 in serial structures without a priori assumptions and to visualize the
 results. After reducing data dimensionality with the built-in function for
 data ordination, regions are fitted as segmented linear regressions along
 the serial structure. Every region boundary position and increasing number
 of regions are iteratively fitted and the best model (number of regions and
 boundary positions) is selected with an information criterion. This package
 expands on the previous 'regions' package (Jones et al., Science 2018) with
 improved computation and more fitting and plotting options.

Package: r-cran-morphoscape
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1438
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-concaveman, r-cran-ggplot2, r-cran-spatial, r-cran-sp, r-cran-automap, r-cran-scales, r-cran-viridislite, r-cran-alphahull
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-morphoscape_1.0.2-1.ca2004.1_all.deb
Size: 973916
MD5sum: f507df0deb36e818c4a8ca8bbb3af821
SHA1: 537c345de936c26b524eebc00825008cf161beee
SHA256: 958b036802e066c07029b3eea8162bc312c58400bb1b2751378f780bc198802f
SHA512: 125ebc52702369dcc6310de56a73eeeeeb4786eae4fb4a3b034d40d4090b26a51f6778e81952565ff5e6ca0e75bff894dedd02db3f64c7456cd242d2e3926f5a
Homepage: https://cran.r-project.org/package=Morphoscape
Description: CRAN Package 'Morphoscape' (Computation and Visualization of Adaptive Landscapes)
 Implements adaptive landscape methods first described by Polly et al. (2016)
 <doi:10.1080/02724634.2016.1111225> for the integration, analysis and
 visualization of biological trait data on a phenotypic morphospace -
 typically defined by shape metrics.

Package: r-cran-morphotools2
Architecture: all
Version: 1.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-candisc, r-cran-car, r-cran-class, r-cran-ellipse, r-cran-heplots, r-cran-mass, r-cran-plot3d, r-cran-statmatch, r-cran-vegan
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-morphotools2_1.0.2.1-1.ca2004.1_all.deb
Size: 921976
MD5sum: 87611f7ec9e96195b8c8c41642de662a
SHA1: 46efdba2db305ad426b7b61472a6cb96871bd268
SHA256: cfa1c268dce1fdaedc8370f9c4f399da66927b76ec9f1af11b524c2b28e61003
SHA512: 303ae0dd5591de74cfe31963d5cea02f04688cb80c2299ae18007cbd5d42d82dca884cf54698fa48961afa2e639b4141f28273584790193a1195f883784d339b
Homepage: https://cran.r-project.org/package=MorphoTools2
Description: CRAN Package 'MorphoTools2' (Multivariate Morphometric Analysis)
 Tools for multivariate analyses of morphological data, wrapped in one
 package, to make the workflow convenient and fast. Statistical and graphical
 tools provide a comprehensive framework for checking and manipulating input
 data, statistical analyses, and visualization of results. Several methods
 are provided for the analysis of raw data, to make the dataset ready for
 downstream analyses. Integrated statistical methods include hierarchical
 classification, principal component analysis, principal coordinates
 analysis, non-metric multidimensional scaling, and multiple discriminant
 analyses: canonical, stepwise, and classificatory (linear, quadratic, and
 the non-parametric k nearest neighbours). The philosophy of the package is
 described in Šlenker et al. 2022.

Package: r-cran-morrowplots
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3250
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-morrowplots_0.2.0-1.ca2004.1_all.deb
Size: 2416964
MD5sum: 699996bdfefee40138a800c5af4f41ff
SHA1: f03061ddda200355a0b9765820fecebcac8ea974
SHA256: b928bbce3e2d9633f4f91c91dd28ca305cb95a05093aa21aa281017cb26b6e7c
SHA512: 4c51f3c72de8b4a3dc795cf43cb82279f6cb47833fcaa2919d8ef501fb63f55b1e22f58002b7068568c6292e1858a1112bbf6261f23e85b7a3c2a65fa0f34d71
Homepage: https://cran.r-project.org/package=morrowplots
Description: CRAN Package 'morrowplots' (Historical Agricultural Data from the University of Illinois)
 Agricultural data for 1888-2021 from the Morrow Plots at the University of
 Illinois. The world's second oldest ongoing agricultural experiment, the
 Morrow Plots measure the impact of crop rotation and fertility treatments on
 corn yields. The data includes planting information and annual yield
 measures for corn grown continuously and in rotation with other crops, in
 treated and untreated soil.

Package: r-cran-morsedr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1397
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-coda, r-cran-ggplot2, r-cran-rjags
Suggests: r-cran-ggally, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-morsedr_0.1.2-1.ca2004.1_all.deb
Size: 918844
MD5sum: c91dd6310df6f2211c6475d7211edd34
SHA1: 872e0d51f0efcd3caf2e8372b3c4c1bb6fd1331d
SHA256: 74610abfe123fab440878140a3f5dcc9c0938f7cb17a15b65db8e07f6310443a
SHA512: 8310f6838f12778d885669f0aebbb87c4da485f65b83520c8299acf996243cb8b5d7f4e3121a3286453b856bb71f7edd85f2e166847caf0a9158836127fa552f
Homepage: https://cran.r-project.org/package=morseDR
Description: CRAN Package 'morseDR' (Bayesian Inference of Binary, Count and Continuous Data inToxicology)
 Advanced methods for a valuable quantitative environmental risk assessment
 using Bayesian inference of several type of toxicological data. 'binary'
 (e.g., survival, mobility), 'count' (e.g., reproduction) and 'continuous'
 (e.g., growth as length, weight).  Estimation procedures can be used without
 a deep knowledge of their underlying probabilistic model or inference
 methods. Rather, they were designed to behave as well as possible without
 requiring a user to provide values for some obscure parameters. That said,
 models can also be used as a first step to tailor new models for more
 specific situations.

Package: r-cran-mort
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2302
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-plotly, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mort_0.0.1-1.ca2004.1_all.deb
Size: 1939948
MD5sum: 19c2fdfcf67e1e14fb38635a70444b24
SHA1: 3d3cf053a13d1e5a138cd2a167012bf8674e549a
SHA256: 268a761f083f14dea7d063aa4c8e8265dcf58f8996b360365f325a4c175574a6
SHA512: eefc611864a2fbdbcd65498b9cf9086d183bad190e7ea24b0dd64acac95fd9730033df24dba376df0743744b674c9ba7e1c88a7c1d69ac80e25e94b4a16288a8
Homepage: https://cran.r-project.org/package=mort
Description: CRAN Package 'mort' (Identifying Potential Mortalities and Expelled Tags in AquaticAcoustic Telemetry Arrays)
 A toolkit for identifying potential mortalities and expelled tags in aquatic
 acoustic telemetry arrays.  Designed for arrays with non-overlapping
 receivers.

Package: r-cran-mortaar
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rdpack, r-cran-reshape2, r-cran-tibble, r-cran-rlang, r-cran-flexsurv
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mortaar_1.1.8-1.ca2004.1_all.deb
Size: 898712
MD5sum: 0c340254dffb310549253b7aacac7d8c
SHA1: 06bfa22c92dc0a5fa6ef12c5081a299111a902d6
SHA256: 73660ad448f34e90792605ccbfb80eb4c1e8983648894f930998554da4cd53f4
SHA512: 984584ed153eb63429ba28a9e66d637772c0ce4daf5ee3b5f85eb75a6cb86fca78452e27606a9034f3e12d9760da9f1ffb7284f39abd12cf4129ddf80e72d56c
Homepage: https://cran.r-project.org/package=mortAAR
Description: CRAN Package 'mortAAR' (Analysis of Archaeological Mortality Data)
 A collection of functions for the analysis of archaeological mortality data
 (on the topic see e.g. Chamberlain 2006
 <https://books.google.de/books?id=nG5FoO_becAC&lpg=PA27&ots=LG0b_xrx6O&dq=life%20table%20archaeology&pg=PA27#v=onepage&q&f=false>).
 It takes demographic data in different formats and displays the result in a
 standard life table as well as plots the relevant indices (percentage of
 deaths, survivorship, probability of death, life expectancy, percentage of
 population). It also checks for possible biases in the age structure and
 applies corrections to life tables.

Package: r-cran-mortalitygaps
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forecast, r-cran-mass, r-cran-crch, r-cran-pbapply, r-cran-rdpack
Suggests: r-cran-mortalitylaws, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mortalitygaps_1.0.7-1.ca2004.1_all.deb
Size: 379600
MD5sum: 345d4e021db62a904c4f68a5fb5d0df2
SHA1: 21331fd332aab8f2868142c6347340b4d6c7faa2
SHA256: 522964d4bc25f5faf14fd4ae7c255e56540a9b37246fc70aa034049dcdbcbb0d
SHA512: 1249ee7ca6bfc18c748efb21f907c068d71169f5ade0b9b1f6444a44ce65630893321652a1b8325bdf49aae16d948664a2466ee3eea49b48e7aeddcf13b58013
Homepage: https://cran.r-project.org/package=MortalityGaps
Description: CRAN Package 'MortalityGaps' (The Double-Gap Life Expectancy Forecasting Model)
 Life expectancy is highly correlated over time among countries and between
 males and females. These associations can be used to improve forecasts.
 Here we have implemented a method for forecasting female life expectancy
 based on analysis of the gap between female life expectancy in a country
 compared with the record level of female life expectancy in the world.
 Second, to forecast male life expectancy, the gap between male life
 expectancy and female life expectancy in a country is analysed. We named
 this method the Double-Gap model.  For a detailed description of the method
 see Pascariu et al. (2018).  <doi:10.1016/j.insmatheco.2017.09.011>.

Package: r-cran-mortalitylaws
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm, r-cran-rcurl, r-cran-pbapply, r-cran-tidyr, r-cran-rvest, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mortalitylaws_2.1.3-1.ca2004.1_all.deb
Size: 667196
MD5sum: fce972c47e678cab0d1527bdde01549c
SHA1: 146dcb188b43b37137b1ee23f170dd1809bd9236
SHA256: f4ef814f20d243f5dec528bf46d0271df40fa2e656587462161de6e960de75f6
SHA512: 092b02742e1f68eeae9b74e2e61789b686339e90ea527f9e21cb24b21c7957911e21931c86aa3d22451072ffeaa0cddd6193199e39be464806eb20d08a3525be
Homepage: https://cran.r-project.org/package=MortalityLaws
Description: CRAN Package 'MortalityLaws' (Parametric Mortality Models, Life Tables and HMD)
 Fit the most popular human mortality 'laws', and construct full and abridge
 life tables given various input indices. A mortality law is a parametric
 function that describes the dying-out process of individuals in a population
 during a significant portion of their life spans. For a comprehensive review
 of the most important mortality laws see Tabeau (2001)
 <doi:10.1007/0-306-47562-6_1>.  Practical functions for downloading data
 from various human mortality databases are provided as well.

Package: r-cran-mortalitytables
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2715
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-pracma
Suggests: r-cran-knitr, r-cran-tidyverse, r-cran-reshape2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mortalitytables_2.0.5-1.ca2004.1_all.deb
Size: 1204856
MD5sum: 61cc318caa7add16ac484adcb6892029
SHA1: 832d004f71c8afc962b9cf0b7b9dae5f1626b6d3
SHA256: e723fb690d7e46b9d10b0da0e94b887e67cd0012db65f14ac78c8ac79c12f0c9
SHA512: 7bcffa7c4440810c0fa6617b81dedfb9a2ae19fe8ba74e429af43f98575ff2919d7613e9f731214546a9d5b2e5bb00a67248d5732de81f575f8f055e2b92a725
Homepage: https://cran.r-project.org/package=MortalityTables
Description: CRAN Package 'MortalityTables' (A Framework for Various Types of Mortality / Life Tables)
 Classes to implement, analyze and plot cohort life tables for actuarial
 calculations. Birth-year dependent cohort mortality tables using a yearly
 trend to extrapolate from a base year are implemented, as well as period
 life table, cohort life tables using an age shift, and merged life tables.
 Additionally, several data sets from various countries are included to
 provide widely-used tables out of the box.

Package: r-cran-mortyr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mortyr_0.0.2-1.ca2004.1_all.deb
Size: 597332
MD5sum: 24f40277089e50c2a4be6dfc645582f2
SHA1: e190e93b1409515dd918e6cd1c013ac006611bbc
SHA256: 434f422a7795e5a664f0f9d5331bc99b7329f0731338e2e9ee03a1e2d2937e96
SHA512: 19848ac1aaaa965afb3c669b673fe92ca4ca74d351a8cae28c4a75c5b8ab5f5b994e79e4a599bb6529476fba3d9519f0e7e27659b278aa97bf12d12c9d109115
Homepage: https://cran.r-project.org/package=mortyr
Description: CRAN Package 'mortyr' (Wrapper to 'The Rick and Morty' API)
 Returns information about characters, locations, and episodes from 'The Rick
 and Morty' API: <https://rickandmortyapi.com>.

Package: r-cran-mos
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-hypergeo2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-moments
Filename: pool/dists/focal/main/r-cran-mos_0.1.3-1.ca2004.1_all.deb
Size: 118132
MD5sum: 5fcf65f297a0fb41076e2e1a493d40a7
SHA1: 8f0f1acfc32f3b4b57fc3fcb6416efecafb96e58
SHA256: 36ec65f879a568c8a121379bc6c8b205960fe5bd0d588330f9666843b9b293e0
SHA512: 81132036c3030a9971986cec56c22af3ae4ba0e0ca7deb7ad1a4111865c8a4b38891eb7931e07405611a167967a51f93e8d6b856d992b32214ad0a7587cd8f71
Homepage: https://cran.r-project.org/package=mos
Description: CRAN Package 'mos' (Simulation and Moment Computation for Order Statistics)
 Provides a comprehensive set of tools for working with order statistics,
 including functions for simulating order statistics, censored samples (Type
 I and Type II), and record values from various continuous distributions.
 Additionally, it offers functions to compute moments (mean, variance,
 skewness, kurtosis) of order statistics for several continuous
 distributions. These tools assist researchers and statisticians in
 understanding and analyzing the properties of order statistics and related
 data. The methods and algorithms implemented in this package are based on
 several published works, including Ahsanullah et al (2013,
 ISBN:9789491216831), Arnold and Balakrishnan (2012, ISBN:1461236444), Harter
 and Balakrishnan (1996, ISBN:9780849394522), Balakrishnan and Sandhu (1995)
 <doi:10.1080/00031305.1995.10476150>, Genç (2012)
 <doi:10.1007/s00362-010-0320-y>, Makouei et al (2021)
 <doi:10.1016/j.cam.2021.113386> and Nagaraja (2013)
 <doi:10.1016/j.spl.2013.06.028>.

Package: r-cran-mosaic
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3839
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-lattice, r-cran-ggformula, r-cran-mosaicdata, r-cran-matrix, r-cran-mosaiccore, r-cran-ggplot2, r-cran-rlang, r-cran-purrr, r-cran-mass, r-cran-tidyr
Suggests: r-cran-ggstance, r-cran-ggridges, r-cran-vdiffr, r-cran-lubridate, r-cran-magrittr, r-cran-nhanes, r-cran-rcurl, r-cran-sp, r-cran-vcd, r-cran-testthat, r-cran-knitr, r-cran-mapproj, r-cran-rgl, r-cran-rmarkdown, r-cran-covr, r-cran-formatr, r-cran-palmerpenguins, r-cran-ggrepel, r-cran-readr, r-cran-ggdendro, r-cran-gridextra, r-cran-latticeextra, r-cran-glue, r-cran-broom, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-mosaic_1.9.1-1.ca2004.1_all.deb
Size: 3059656
MD5sum: 38c36eac2940d49252caabb4d3f7c650
SHA1: ab12af1abf3eaca56dbe87f3d8ec4e3f30e71ccd
SHA256: a437eae8b499a4ba4c9ee153e588fd21c3d1670427ec4317a6b7439616db7c6d
SHA512: 38c993940dcbc94ddcc0e9bd17a7bb3e93072eb5bda9efcc95bfdfca2a3c031cb04d9f671674b97651f0e896e46314d91bd99c8eaad35082e2d3f64e0ce86b9c
Homepage: https://cran.r-project.org/package=mosaic
Description: CRAN Package 'mosaic' (Project MOSAIC Statistics and Mathematics Teaching Utilities)
 Data sets and utilities from Project MOSAIC (<http://www.mosaic-web.org>)
 used to teach mathematics, statistics, computation and modeling.  Funded by
 the NSF, Project MOSAIC is a community of educators working to tie together
 aspects of quantitative work that students in science, technology,
 engineering and mathematics will need in their professional lives, but which
 are usually taught in isolation, if at all.

Package: r-cran-mosaiccalc
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3775
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-calculus, r-cran-deriv, r-cran-dplyr, r-cran-ggformula, r-cran-ggplot2, r-cran-glue, r-cran-mass, r-cran-matrix, r-cran-metr, r-cran-mosaiccore, r-cran-mosaic, r-cran-orthopolynom, r-cran-rlang, r-cran-ryacas, r-cran-sp, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-palmerpenguins, r-cran-rmarkdown, r-cran-cubature, r-cran-plotly, r-cran-mosaicdata
Filename: pool/dists/focal/main/r-cran-mosaiccalc_0.6.4-1.ca2004.1_all.deb
Size: 2726236
MD5sum: f1fac6a3fe5d0a45e629160a0aa313fd
SHA1: 35c22fa719a7ed4af0bf3ce421b22fd641e670b2
SHA256: 28bfe7adbca3750604bdc6fc9ec1ab40c1e4b931efa9072141038c1556272e86
SHA512: c69ae6f9bf1fb9401ccb4b497252582ee58323c5d556f1e7b0aa595a136178e11ecd32c5a667d8580c1c14677a1c585245b507072b5914641410625aecb9aba5
Homepage: https://cran.r-project.org/package=mosaicCalc
Description: CRAN Package 'mosaicCalc' (R-Language Based Calculus Operations for Teaching)
 Software to support the introductory *MOSAIC Calculus* textbook
 <https://www.mosaic-web.org/MOSAIC-Calculus/>), one of many data- and
 modeling-oriented educational resources developed by Project MOSAIC
 (<https://www.mosaic-web.org/>). Provides symbolic and numerical
 differentiation and integration, as well as support for applied linear
 algebra (for data science), and differential equations/dynamics.  Includes
 grammar-of-graphics-based functions for drawing vector fields, trajectories,
 etc.  The software is suitable for general use, but intended mainly for
 teaching calculus.

Package: r-cran-mosaiccore
Architecture: all
Version: 0.9.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-mass
Suggests: r-cran-mosaicdata, r-cran-mosaic, r-cran-ggformula, r-cran-nhanes, r-cran-testthat, r-cran-mosaiccalc
Filename: pool/dists/focal/main/r-cran-mosaiccore_0.9.4.0-1.ca2004.1_all.deb
Size: 192540
MD5sum: 9b821327d1e090030696c1a56ba94070
SHA1: e7c3819d8bfa4fd2b4f142f2c582b0ca4e5bfbb3
SHA256: c8faf13929d928d9b130820449dd3aa3198516f497826cb7d704609c77299ddc
SHA512: e87885f85ff322ee9eeb8212344320319911d0cb5e548190c078c4d414d01a5103d9e4f525b50596ac360f7a1d1872dea198abff1c34e202e9944d272872d4ea
Homepage: https://cran.r-project.org/package=mosaicCore
Description: CRAN Package 'mosaicCore' (Common Utilities for Other MOSAIC-Family Packages)
 Common utilities used in other MOSAIC-family packages are collected here.

Package: r-cran-mosaicdata
Architecture: all
Version: 0.20.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1751
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-lattice, r-cran-mosaic, r-cran-reshape2, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-ggformula
Filename: pool/dists/focal/main/r-cran-mosaicdata_0.20.4-1.ca2004.1_all.deb
Size: 1656052
MD5sum: 5e4764dd08ec6b680dd270d4b963438a
SHA1: 5c7a49f3394a965dc87f7a28f2e7686220a6b40b
SHA256: 12b3a5387d3994895bb0b87fea0dacc10c5a512a393ac2b451eb94dbc301a510
SHA512: 04c168fdc16c3697ef2456d3b6ed1808482bd70d91af2b25f635c04f647e1afb181452a30a9b62c9340b1cc07aca43d0e76e09b902bb6853f309ecf9fadde2e4
Homepage: https://cran.r-project.org/package=mosaicData
Description: CRAN Package 'mosaicData' (Project MOSAIC Data Sets)
 Data sets from Project MOSAIC (<http://www.mosaic-web.org>) used to teach
 mathematics, statistics, computation and modeling.  Funded by the NSF,
 Project MOSAIC is a community of educators working to tie together aspects
 of quantitative work that students in science, technology, engineering and
 mathematics will need in their professional lives, but which are usually
 taught in isolation, if at all.

Package: r-cran-mosaicmodel
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 997
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mosaiccore, r-cran-dplyr, r-cran-caret, r-cran-ggplot2, r-cran-ggformula, r-cran-lazyeval, r-cran-knitr, r-cran-mass, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyverse
Suggests: r-cran-mosaic, r-cran-mosaicdata, r-cran-randomforest, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-mosaicmodel_0.3.0-1.ca2004.1_all.deb
Size: 781384
MD5sum: 67de4a94fedd6c94758783342bf1cba1
SHA1: 9aa037ea2dfac213239423d64d6c2e9adbac900f
SHA256: b13e4c1b713a5358be29a0bd89a8a36e4bdcb62296871bb6d1a4cbe71e9575c9
SHA512: d875a23eaff828089c38dd6bab9fb83b830851410776f086ecd10dc113ea6d1073f13ac5d1da6ad32a6f4a379778d8a2964c409c83e8804720f8dff65e94524e
Homepage: https://cran.r-project.org/package=mosaicModel
Description: CRAN Package 'mosaicModel' (An Interface to Statistical Modeling Independent of ModelArchitecture)
 Provides functions for evaluating, displaying, and interpreting statistical
 models. The goal is to abstract the operations on models from the particular
 architecture of the model. For instance, calculating effect sizes rather
 than looking at coefficients. The package includes interfaces to both
 regression and classification architectures, including lm(), glm(), rlm() in
 'MASS', random forests and recursive partitioning, k-nearest neighbors,
 linear and quadratic discriminant analysis, and models produced by the
 'caret' package's train(). It's straightforward to add in other other model
 architectures.

Package: r-cran-mosclust
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cluster, r-cran-clusterv
Filename: pool/dists/focal/main/r-cran-mosclust_1.0.2-1.ca2004.1_all.deb
Size: 367020
MD5sum: a85b9567abc31ce4b1782ddc8eebe6b7
SHA1: 2e871899383d37a9fb014de3a56204ff4004ee81
SHA256: c83c6b94c2d4257c4dc691e94a300f5624a0d92e77209f27dfd24c45b3bea431
SHA512: dc4c8157d668eda4958caedd425f9b31209a0a520f1c96126eeb731b411574cdf57d7213ee3f404382ee248eb776e73ecc36d6447c0bc0fee015702ed9e6a426
Homepage: https://cran.r-project.org/package=mosclust
Description: CRAN Package 'mosclust' (Model Order Selection for Clustering)
 Stability based methods for model order selection in clustering problems
 (Valentini, G (2007), <doi:10.1093/bioinformatics/btl600>).  Using multiple
 perturbations of the data the stability of clustering solutions is assessed.
 Different perturbations may be used: resampling techniques, random
 projections and noise injection. Stability measures for the estimate of
 clustering solutions and statistical tests to assess their significance are
 provided.

Package: r-cran-mosemiind
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-copula, r-cran-pracma, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mosemiind_0.1.0-1.ca2004.1_all.deb
Size: 14724
MD5sum: 400e0a7106cce69df01287f139c0dd8d
SHA1: f9c7302a67522bbe7c9903eb546b27ca2cb99a55
SHA256: 1c3d241bae7f7269fe58b24d32452ee6a459478127c799977b1c8a7e265ad490
SHA512: 007006058649fab919aa7606c2e69f0388e69de7dc63d5ac1f4d17a5244ce3f253c04ba4ddac08547569312c0542f279c67c1c0b3ca7961e0fb272f2c8f797b6
Homepage: https://cran.r-project.org/package=MOsemiind
Description: CRAN Package 'MOsemiind' (Marshall-Olkin Shock Models with Semi-Independent Time)
 Provides tools for analyzing Marshall-Olkin shock models semi-independent
 time.  It includes interactive 'shiny' applications for exploring
 copula-based dependence structures, along with functions for modeling and
 visualization. The methods are based on Mijanovic and Popovic (2024,
 submitted) "An R package for Marshall-Olkin shock models with
 semi-independent times."

Package: r-cran-mosmafs
Architecture: all
Version: 0.1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 912
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ecr, r-cran-bbmisc, r-cran-checkmate, r-cran-paramhelpers, r-cran-mass, r-cran-smoof, r-cran-mlrcpo, r-cran-mlr, r-cran-parallelmap
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-magrittr, r-cran-testthat, r-cran-rpart, r-cran-praznik, r-cran-mlrmbo, r-cran-emoa, r-cran-dicekriging, r-cran-rgenoud, r-cran-randomforest, r-cran-digest
Filename: pool/dists/focal/main/r-cran-mosmafs_0.1.2-1-1.ca2004.1_all.deb
Size: 611000
MD5sum: bbfb581cae00532c11fda0ae18e3e64f
SHA1: d7fce43d38164eb744adf1a29c9432e0cd16e618
SHA256: 59d42f6e238b119a3cd6813573006418e4ed7e4c13fc3d8220b695c1f894869f
SHA512: 5d9cca86a5e550996e7a02ff5a089e8a93c289d6c5e6713f67fc49906f5d521d28db0a44210d2776224f095fca49cafc08d0af188ae35dfcd4f61848dfa4c9a3
Homepage: https://cran.r-project.org/package=mosmafs
Description: CRAN Package 'mosmafs' (Multi-Objective Simultaneous Model and Feature Selection)
 Performs simultaneous hyperparameter tuning and feature selection through
 both single-objective and multi-objective optimization as described in
 Binder, Moosbauer et al. (2019) <arXiv:1912.12912>.  Uses the 'ecr'-package
 as basis but adds mixed integer evolutionary strategies and multi-fidelity
 functionality as well as operators specific for the problem of feature
 selection.

Package: r-cran-mosqcontrol
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-assertthat, r-cran-pracma, r-cran-nlcoptim, r-cran-nloptr, r-cran-sfsmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mosqcontrol_0.1.0-1.ca2004.1_all.deb
Size: 318012
MD5sum: 171389bc094ef411b8a4407e09c8a4c6
SHA1: 9e5ba47a335210e3705fcfaeecea5c2c351780db
SHA256: 98700e6fb241e3fd31726327da405043596d85d81157993488e9edbe7bf44e40
SHA512: c5e034067e8f7584eed77c330aeaf00ef35cc4c7883e7ad11b991fea7b272a9128c551b36c64de8fe12248dacd5cff7a0af1c9ac9eeb57802dfe353b5ca7fde5
Homepage: https://cran.r-project.org/package=mosqcontrol
Description: CRAN Package 'mosqcontrol' (Mosquito Control Resource Optimization)
 This project aims to make an accessible model for mosquito control resource
 optimization. The model uses data provided by users to estimate the mosquito
 populations in the sampling area for the sampling time period, and the
 optimal time to apply a treatment or multiple treatments.

Package: r-cran-moss
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-dbscan, r-cran-rtsne
Suggests: r-bioc-annotate, r-cran-bigparallelr, r-cran-bigstatsr, r-cran-future.apply, r-cran-scatterpie, r-cran-clvalid, r-bioc-complexheatmap, r-cran-fpc, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggthemes, r-cran-gridextra, r-cran-irlba, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat, r-cran-viridis, r-cran-spelling, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-moss_0.2.2-1.ca2004.1_all.deb
Size: 3336088
MD5sum: 9bd5b6835c35251f83929ce1675353fe
SHA1: 51ee9aa808e20b18f664548c833fb3ff27f5d6f4
SHA256: 8e3a85e5309756b769b44ab81c6f30707d10ae43a31634946070417227832eb9
SHA512: 72a7cefa033dc5cb314d3613ea934cb104ba29b1a2e4a16b0aa8224574815ac079b1167c5d7135d9bb6c10dfa2e31656d7a2cc72ea576ba607fbd7a0521cec04
Homepage: https://cran.r-project.org/package=MOSS
Description: CRAN Package 'MOSS' (Multi-Omic Integration via Sparse Singular Value Decomposition)
 High dimensionality, noise and heterogeneity among samples and features
 challenge the omic integration task. Here we present an omic integration
 method based on sparse singular value decomposition (SVD) to deal with these
 limitations, by: a. obtaining the main axes of variation of the combined
 omics, b. imposing sparsity constraints at both subjects (rows) and features
 (columns) levels using Elastic Net type of shrinkage, and c. allowing both
 linear and non-linear projections (via t-Stochastic Neighbor Embedding) of
 the omic data to detect clusters in very convoluted data (Gonzalez-Reymundez
 et. al, 2022) <doi:10.1093/bioinformatics/btac179>.

Package: r-cran-most
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-most_0.1.2-1.ca2004.1_all.deb
Size: 61172
MD5sum: bd24d0a3f0f095b60bfd9596b875306f
SHA1: 11b39d23896a23b10f2107d7458954052b3c12e2
SHA256: 87869e6c9e6066178a0809713c7132424855e82578b5d5fd318bc25b972f603c
SHA512: 9d8bc51928479472ea214e39de38b656a8abf955af3d2a4c9ab29352ebbae7f2af563aed555b68ad97022f0362d80d8b09bbfb6662244085e9e89a8ad02a7b11
Homepage: https://cran.r-project.org/package=MOST
Description: CRAN Package 'MOST' (Multiphase Optimization Strategy)
 Provides functions similar to the 'SAS' macros previously provided to
 accompany Collins, Dziak, and Li (2009) <DOI:10.1037/a0015826> and Dziak,
 Nahum-Shani, and Collins (2012) <DOI:10.1037/a0026972>, papers which outline
 practical benefits and challenges of factorial and fractional factorial
 experiments for scientists interested in developing biological and/or
 behavioral interventions, especially in the context of the multiphase
 optimization strategy (see Collins, Kugler & Gwadz 2016)
 <DOI:10.1007/s10461-015-1145-4>.  The package currently contains three
 functions. First, RelativeCosts1() draws a graph of the relative cost of
 complete and reduced factorial designs versus other alternatives. Second,
 RandomAssignmentGenerator() returns a dataframe which contains a list of
 random numbers that can be used to conveniently assign participants to
 conditions in an experiment with many conditions. Third,
 FactorialPowerPlan() estimates the power, detectable effect size, or
 required sample size of a factorial or fractional factorial experiment, for
 main effects or interactions, given several possible choices of effect size
 metric, and allowing pretests and clustering.

Package: r-cran-mote
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mbess, r-cran-ez, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-mote_1.0.2-1.ca2004.1_all.deb
Size: 211392
MD5sum: aa3c619af1f5bd000fdae4b67a5ba5e9
SHA1: c6b35f26166de7aaa4db56044006f52139a0b8be
SHA256: ed6baf6c8b9c42706ccc0ae42de11a14f5599157deef96cf732bb68f7f345c11
SHA512: 55ca2b684f8bfd6a12534a7cc70286ab32ee373e370947cf8226d1033bfffdc52eebda17e9845301a02c72777ff1205bd3647521a19c1f4152fd5f1f1424fdcb
Homepage: https://cran.r-project.org/package=MOTE
Description: CRAN Package 'MOTE' (Effect Size and Confidence Interval Calculator)
 Measure of the Effect ('MOTE') is an effect size calculator, including a
 wide variety of effect sizes in the mean differences family (all versions of
 d) and the variance overlap family (eta, omega, epsilon, r). 'MOTE' provides
 non-central confidence intervals for each effect size, relevant test
 statistics, and output for reporting in APA Style (American Psychological
 Association, 2010, <ISBN:1433805618>) with 'LaTeX'. In research, an
 over-reliance on p-values may conceal the fact that a study is under-powered
 (Halsey, Curran-Everett, Vowler, & Drummond, 2015 <doi:10.1038/nmeth.3288>).
 A test may be statistically significant, yet practically inconsequential
 (Fritz, Scherndl, & Kühberger, 2012 <doi:10.1177/0959354312436870>).
 Although the American Psychological Association has long advocated for the
 inclusion of effect sizes (Wilkinson & American Psychological Association
 Task Force on Statistical Inference, 1999 <doi:10.1037/0003-066X.54.8.594>),
 the vast majority of peer-reviewed, published academic studies stop short of
 reporting effect sizes and confidence intervals (Cumming, 2013,
 <doi:10.1177/0956797613504966>). 'MOTE' simplifies the use and
 interpretation of effect sizes and confidence intervals. For more
 information, visit <https://www.aggieerin.com/shiny-server>.

Package: r-cran-motifcluster
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-rspectra
Suggests: r-cran-covr, r-cran-knitr, r-cran-mclust, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-motifcluster_0.2.3-1.ca2004.1_all.deb
Size: 447660
MD5sum: 9907b35733e06fb47f8761a3d71feedd
SHA1: b967f32f827a66ec4c869141ba570b2ddfd2c5f6
SHA256: 19daf448d609ba9703b67666612c604f9bd42cc912ba7c36a7d464e048c161dd
SHA512: 1d7f83b125e2352ee32a987efc9fb970826556cb0bad1a01aa67d56f7baf7403e5959c44b2674299779a4fd5f54065af49029d1f6e883fcf2cc3452ee425ff9c
Homepage: https://cran.r-project.org/package=motifcluster
Description: CRAN Package 'motifcluster' (Motif-Based Spectral Clustering of Weighted Directed Networks)
 Tools for spectral clustering of weighted directed networks using motif
 adjacency matrices. Methods perform well on large and sparse networks, and
 random sampling methods for generating weighted directed networks are also
 provided. Based on methodology detailed in Underwood, Elliott and Cucuringu
 (2020) <arXiv:2004.01293>.

Package: r-cran-motifr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-intergraph, r-cran-network, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-reticulate, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidygraph
Suggests: r-cran-ergm, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-motifr_1.0.0-1.ca2004.1_all.deb
Size: 574700
MD5sum: 6dddb46e3d273cda1a4e465802249746
SHA1: 3d394c95ab6aa651e049a2b49d572c9d31bb677c
SHA256: 0a237ff33662293723ee8eb82454ca891912b9ff40f5ced014fa4ab28b52d6ce
SHA512: a7416bed4319f638168dc8ccec2978b7d55e34e9194609a3ce2dcd0eb10593d836e0b2983fddd5b9d52010cdc0895e87d7e6bf089d74fa558ae19b73d8e6bf1d
Homepage: https://cran.r-project.org/package=motifr
Description: CRAN Package 'motifr' (Motif Analysis in Multi-Level Networks)
 Tools for motif analysis in multi-level networks.  Multi-level networks
 combine multiple networks in one, e.g.  social-ecological networks. Motifs
 are small configurations of nodes and edges (subgraphs) occurring in
 networks. 'motifr' can visualize multi-level networks, count multi-level
 network motifs and compare motif occurrences to baseline models. It also
 identifies contributions of existing or potential edges to motifs to find
 critical or missing edges. The package is in many parts an R wrapper for the
 excellent 'SESMotifAnalyser' 'Python' package written by Tim Seppelt.

Package: r-cran-motorneuron
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2735
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dygraphs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-motorneuron_1.0.0-1.ca2004.1_all.deb
Size: 219392
MD5sum: 4bbaf023eb6c4eba630c7672836e00be
SHA1: 632c7e694dc245e26972c7c7f80d4aa440ea85dd
SHA256: a691975c976f70329a436c1aaef5e708fc1adc62ac6029f626446e3e5e2b8370
SHA512: a267b5f2196150a5f6f1506c0eddca61b6cd731479e9c305d9b6d57202c40ddf26050add04135144a07b7b3bf4222e053f9a357b3b907e6d3f7ea8d3c1c136fc
Homepage: https://cran.r-project.org/package=motoRneuron
Description: CRAN Package 'motoRneuron' (Analyzing Paired Neuron Discharge Times for Time-DomainSynchronization)
 The temporal relationship between motor neurons can offer explanations for
 neural strategies. We combined functions to reduce neuron action potential
 discharge data and analyze it for short-term, time-domain synchronization.
 Even more so, motoRneuron combines most available methods for the
 determining cross correlation histogram peaks and most available indices for
 calculating synchronization into simple functions. See Nordstrom, Fuglevand,
 and Enoka (1992) <doi:10.1113/jphysiol.1992.sp019244> for a more thorough
 introduction.

Package: r-cran-moult
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 769
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-formula, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-moult_2.3.1-1.ca2004.1_all.deb
Size: 683248
MD5sum: c4ca0f8d63b349c5b9336036d47fac53
SHA1: 59cfdcbab2974db2dbd5b63241c71d4cb693ca78
SHA256: 604d46b1943790562ef6a83a91d495aa62d427b6b49a6bf3af0a9c9cc499f4e3
SHA512: ca95391cf0567314d3711e9270b0aaf013ff852a6a15ef6070af0bcd01794fec1a41537f564abbfdef88be93b06965a3f06c1ac0c0859cea83756c07ddd2cb10
Homepage: https://cran.r-project.org/package=moult
Description: CRAN Package 'moult' (Models for Analysing Moult in Birds)
 Functions to estimate start and duration of moult from moult data, based on
 models developed in Underhill and Zucchini (1988, 1990).

Package: r-cran-mountainplot
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-knitr, r-cran-latticeextra, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mountainplot_1.4-1.ca2004.1_all.deb
Size: 109428
MD5sum: 729dfdef936e9fbaa1230ac344c218fd
SHA1: dc5dd9dffcfd71ba687f00494b5bbcce5439c321
SHA256: ea27f6fa6705ca46656e447bb02d3e876c7918854a1c4bf1c75cc8c3f98b1338
SHA512: 06f88f86fe09f128f7c00a04320c5aafe64ca369c55515b70799c66a03e3423a86ca5195165126eced23a180ae5c46ea7747f5931131caec467900bb5e0bf243
Homepage: https://cran.r-project.org/package=mountainplot
Description: CRAN Package 'mountainplot' (Mountain Plots, Folded Empirical Cumulative Distribution Plots)
 Lattice functions for drawing folded empirical cumulative distribution
 plots, or mountain plots. A mountain plot is similar to an empirical CDF
 plot, except that the curve increases from 0 to 0.5, then decreases from 0.5
 to 1 using an inverted scale at the right side. See Monti (1995)
 <doi:10.1080/00031305.1995.10476179>.

Package: r-cran-mousetrack
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-mousetrack_1.0.0-1.ca2004.1_all.deb
Size: 52152
MD5sum: bd9e8ab889991a7905e7d7fd48fa0ee1
SHA1: ca8f21236f30e42d20b33e2554b2f14d070f3990
SHA256: dbc553a094978ddaee2a5813f4f17efcc693c1eb18ac12f8484f296dacccaf90
SHA512: 8d2717c74021aa7f3d351841ad089584826ae62f8e2020b458316eba81c542df53f78d2a7b94ad69ac70aba540683d698564c0f162fbdf32a7c2b27c6cc81784
Homepage: https://cran.r-project.org/package=mousetrack
Description: CRAN Package 'mousetrack' (Mouse-Tracking Measures from Trajectory Data)
 Extract from two-dimensional x-y coordinates of an arm-reaching trajectory,
 several dependent measures such as area under the curve, latency to start
 the movement, x-flips, etc.; which characterize the action-dynamics of the
 response. Mainly developed to analyze data coming from mouse-tracking
 experiments.

Package: r-cran-mousetrajectory
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lifecycle, r-cran-signal
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-mousetrajectory_0.2.1-1.ca2004.1_all.deb
Size: 86212
MD5sum: bc2d7ed137bc9fa415789c9c5946bb14
SHA1: 6ffad2f3754a7d7127d55f2b93d1241169e88536
SHA256: f01d23cc6d6b3d867b694bc6b04e4609dcb04b18dc6fbf49d9774dfa97bd8abd
SHA512: 137ebc8e503ea564e70041e1090d97cabc1c444c8ca689854a14cd5661167b8860ff3bd9fc5c645fea48d80ba45074c5750f2af5a5ec0235ead370b6f9bd0ecc
Homepage: https://cran.r-project.org/package=mousetRajectory
Description: CRAN Package 'mousetRajectory' (Mouse Trajectory Analyses for Behavioural Scientists)
 Helping psychologists and other behavioural scientists to analyze mouse
 movement (and other 2-D trajectory) data. Bundles together several functions
 that compute spatial measures (e.g., maximum absolute deviation, area under
 the curve, sample entropy) or provide a shorthand for procedures that are
 frequently used (e.g., time normalization, linear interpolation, extracting
 initiation and movement times). For more information on these dependent
 measures, see Wirth et al.  (2020) <doi:10.3758/s13428-020-01409-0>.

Package: r-cran-move2
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4683
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-sf, r-cran-rlang, r-cran-units, r-cran-tidyselect, r-cran-dplyr, r-cran-tibble, r-cran-vroom, r-cran-cli, r-cran-vctrs, r-cran-bit64
Suggests: r-cran-knitr, r-cran-askpass, r-cran-digest, r-cran-keyring, r-cran-xml2, r-cran-curl, r-cran-magrittr, r-cran-purrr, r-cran-ggplot2, r-cran-testthat, r-cran-rmarkdown, r-cran-lwgeom, r-cran-s2, r-cran-move, r-cran-raster, r-cran-withr, r-cran-lubridate, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-circular, r-cran-tidyr, r-cran-gganimate, r-cran-prettymapr, r-cran-gifski, r-cran-ggspatial
Filename: pool/dists/focal/main/r-cran-move2_0.4.4-1.ca2004.1_all.deb
Size: 3427848
MD5sum: f17583f1432a52013181b1b95a6d54d7
SHA1: f0cfa82475e363c650c3d92532b51c2555e2549c
SHA256: ac380ff18c2ba3b44be78d6a7691b954fe7d11326d230e837907aed79c82f52f
SHA512: e147ba4117392ff4e2f5326a843d46d54da38f4e0102e9bb8cf453b7950232aab841ee908a33d77ddccf8b012f093e3876e87d6a99bb9674a4774c9b6b279051
Homepage: https://cran.r-project.org/package=move2
Description: CRAN Package 'move2' (Processing and Analysing Animal Trajectories)
 Tools to handle, manipulate and explore trajectory data, with an emphasis on
 data from tracked animals. The package is designed to support large studies
 with several million location records and keep track of units where
 possible. Data import directly from 'movebank'
 <https://www.movebank.org/cms/movebank-main> and files is facilitated.

Package: r-cran-movecost
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1015
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chron, r-cran-gdistance, r-cran-elevatr, r-cran-matrix, r-cran-raster, r-cran-sf, r-cran-sp, r-cran-terra
Filename: pool/dists/focal/main/r-cran-movecost_2.1-1.ca2004.1_all.deb
Size: 999796
MD5sum: fdc32091f8fe124394b8bdc1de73dd3b
SHA1: c4d19d60b4a9ec7cfadfdf1fb75cbeb4422524f6
SHA256: 7970eb84c2e1ba68a83320603f73cf9281d6da815daab5b6738d340d262a5c6e
SHA512: 3d114fbd77878cafab1e14f115e74fb897cc4ca9df9aa51d1a0fffbd8f067132477c6ffc5ce11532993b1b9e3c95911a975e049977ef74506b39b36cb4d7ea9e
Homepage: https://cran.r-project.org/package=movecost
Description: CRAN Package 'movecost' (Calculation of Slope-Dependant Accumulated Cost Surface,Least-Cost Paths, Least-Cost Corridors, Least-Cost NetworksRelated to Human Movement Across the Landscape)
 Provides the facility to calculate non-isotropic accumulated cost surface,
 least-cost paths, least-cost corridors, least-cost networks using a number
 of human-movement-related cost functions that can be selected by the user.
 It just requires a Digital Terrain Model, a start location and (optionally)
 destination locations. See Alberti (2019) <doi:10.1016/j.softx.2019.100331>.

Package: r-cran-movedesign
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4232
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-bsplus, r-cran-combinat, r-cran-config, r-cran-crayon, r-cran-ctmm, r-cran-data.table, r-cran-dplyr, r-cran-fontawesome, r-cran-gdtools, r-cran-ggiraph, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggtext, r-cran-golem, r-cran-gsl, r-cran-lubridate, r-cran-parsedate, r-cran-quarto, r-cran-reactable, r-cran-rintrojs, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinyalert, r-cran-shinybusy, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringr, r-cran-terra, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-movedesign_0.3.1-1.ca2004.1_all.deb
Size: 3546808
MD5sum: c427d358ad3e8cf2f3161965187c5095
SHA1: 28d669a1ddd7370f48923505d122dc282a290e1f
SHA256: 228a1b2d30b08c9dd46e153b214966ebdb6ac2f4bb45c97aba36cfefa4fa8ae9
SHA512: c26509f6eeb0ad29012b900c085b60aa9382ea82864acd29cb207698fa5e1bc35f74a9aa04205e2bf3cdee16b341544c8c9b6eebd895ab969d58ee1a6d1cdbd4
Homepage: https://cran.r-project.org/package=movedesign
Description: CRAN Package 'movedesign' (Study Design Toolbox for Movement Ecology Studies)
 Toolbox and 'shiny' application to help researchers design movement ecology
 studies, focusing on two key objectives: estimating home range areas, and
 estimating fine-scale movement behavior, specifically speed and distance
 traveled.  It provides interactive simulations and methodological guidance
 to support study planning and decision-making.  The application is described
 in Silva et al. (2023) <doi:10.1111/2041-210X.14153>.

Package: r-cran-movegroup
Architecture: all
Version: 2024.03.05-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2761
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-beepr, r-cran-dplyr, r-cran-ggmap, r-cran-knitr, r-cran-lubridate, r-cran-magick, r-cran-move, r-cran-purrr, r-cran-raster, r-cran-rlang, r-cran-sf, r-cran-sp, r-cran-stars, r-cran-starsextra, r-cran-stringr, r-cran-terra, r-cran-tidyr, r-cran-tidyselect, r-cran-viridis
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-movegroup_2024.03.05-1.ca2004.1_all.deb
Size: 2125576
MD5sum: 1f21b48493875203a09c95c776de7990
SHA1: a71b6e5da59ff04093dc8567d2d24290c8fafc95
SHA256: ddc9bfeb2b80ba7b56c4797a85fcde09bc7fe8f8c0e4ab934d9f87453c956ebc
SHA512: 32b2137098166e575413ea8425d78e7555d62869957a2a4f9b5b2da444b0a457d9c9fbbe8385cc2b06f77f38932bcb4d31b4c8c820e73bb3120860c1c70898d8
Homepage: https://cran.r-project.org/package=movegroup
Description: CRAN Package 'movegroup' (Visualizing and Quantifying Space Use Data for Groups of Animals)
 Offers an easy and automated way to scale up individual-level space use
 analysis to that of groups. Contains a function from the 'move' package to
 calculate a dynamic Brownian bridge movement model from movement data for
 individual animals, as well as functions to visualize and quantify space use
 for individuals aggregated in groups. Originally written with passive
 acoustic telemetry in mind, this package also provides functionality to
 account for unbalanced acoustic receiver array designs, and satellite tag
 data.

Package: r-cran-movementsync
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2144
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-circular, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-hms, r-cran-igraph, r-cran-lmtest, r-cran-osfr, r-cran-rlang, r-cran-scales, r-cran-signal, r-cran-tidyr, r-cran-waveletcomp, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-movementsync_0.1.4-1.ca2004.1_all.deb
Size: 1957852
MD5sum: ce369db5ed950999f3ef454b3d146dff
SHA1: 9cebcc05e8705b24bc47f8bc2a90357f531461dd
SHA256: 2b3a09606f65a4055507b807f3d1df73f495277027390c0ffc19c9bc0f022787
SHA512: 8e7daab1e90a1d69a5324b5f526456605c2ee71d6312dd3f877aed75494b59177b3ed65b705411b02c1458ed30aad4e8887c500f3b8a8a0c3bc009ce80427e47
Homepage: https://cran.r-project.org/package=movementsync
Description: CRAN Package 'movementsync' (Analysis and Visualisation of Musical Audio and Video MovementSynchrony Data)
 Analysis and visualisation of synchrony, interaction, and joint movements
 from audio and video movement data of a group of music performers. The demo
 is data described in Clayton, Leante, and Tarsitani (2021)
 <doi:10.17605/OSF.IO/KS325>, while example analyses can be found in Clayton,
 Jakubowski, and Eerola (2019) <doi:10.1177/1029864919844809>. Additionally,
 wavelet analysis techniques have been applied to examine movement-related
 musical interactions, as shown in Eerola et al. (2018)
 <doi:10.1098/rsos.171520>.

Package: r-cran-movevis
Architecture: all
Version: 0.10.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4211
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-move, r-cran-raster, r-cran-sf, r-cran-lwgeom, r-cran-slippymath, r-cran-lubridate, r-cran-curl, r-cran-ggplot2, r-cran-cowplot, r-cran-magick, r-cran-gifski, r-cran-av, r-cran-pbapply, r-cran-magrittr
Suggests: r-cran-mapview, r-cran-leaflet, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-movevis_0.10.5-1.ca2004.1_all.deb
Size: 4260880
MD5sum: 53dae75c11d8a3687c5bda32aaacde54
SHA1: 880891d0ccd9bdfca34e569638d2ed105e184405
SHA256: d4d87d6919518a2ba4649e690a3385636034181fc659baf5195f0579baec0096
SHA512: 6b6da920f92cffac6aad10cf106650b080cab5dfe0df86f7ff0eec3878c679bb966a09cd308bc892ab4a536bf62d2b2e14968a062537ab193a07812fdf9fb90a
Homepage: https://cran.r-project.org/package=moveVis
Description: CRAN Package 'moveVis' (Movement Data Visualization)
 Tools to visualize movement data (e.g. from GPS tracking) and temporal
 changes of environmental data (e.g. from remote sensing) by creating video
 animations.

Package: r-cran-movieroc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-animation, r-cran-intrval, r-cran-gtools, r-cran-e1071, r-cran-robustbase, r-cran-rsolnp, r-cran-ks, r-cran-zoo
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-movieroc_0.1.2-1.ca2004.1_all.deb
Size: 2057108
MD5sum: e4299c958dc1f1c0daf2d2d2633ba324
SHA1: ff2992e65f77f857fd4a993201ab1a91914f3089
SHA256: ccd8f3caee84cc2ef03bb3e5068767ed58a06ecaa5d25e6f1e679be2dcf78c8c
SHA512: e52a39dc052c1a1531ca5bcc3c8b898dce894ad1a6cf8fd19efabfb33107323c710677bd8df2230cfe106f63d3f19399158972b8fdb9211eb845fb00f8aa91de
Homepage: https://cran.r-project.org/package=movieROC
Description: CRAN Package 'movieROC' (Visualizing the Decision Rules Underlying Binary Classification)
 Visualization of decision rules for binary classification and Receiver
 Operating Characteristic (ROC) curve estimation under different
 generalizations proposed in the literature: - making the classification
 subsets flexible to cover those scenarios where both extremes of the marker
 are associated with a higher risk of being positive, considering two
 thresholds (gROC() function); - transforming the marker by a proper function
 trying to improve the classification performance (hROC() function); - when
 dealing with multivariate markers, considering a proper transformation to
 univariate space trying to maximize the resulting AUC of the TPR for each
 FPR (multiROC() function).  The classification regions behind each point of
 the ROC curve are displayed in both static graphics (plot_buildROC(),
 plot_regions() or plot_funregions() function) or videos (movieROC()
 function).

Package: r-cran-mpactr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 868
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-cli, r-cran-ggplot2, r-cran-r6, r-cran-readr, r-cran-treemapify, r-cran-viridis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpactr_0.1.0-1.ca2004.1_all.deb
Size: 528328
MD5sum: 08e7c28e6d370e2f2bed0dc6fec46c8b
SHA1: 2f302fa1eab0921f95fcb964111a20a1789fffea
SHA256: c4345e5df4467d7705a2a1206c0b2b65d779ab9977cc1b8c9a86f083587221eb
SHA512: 8b408f5f682450e6387a3715f692b78cfafe687ca0290ad2e7e6da56a9a36ffdef4fe208c9dd28df864587ce0c344b96d724d2a018ef2a6a589f94d535e0b13c
Homepage: https://cran.r-project.org/package=mpactr
Description: CRAN Package 'mpactr' (Correction of Preprocessed MS Data)
 An 'R' implementation of the 'python' program Metabolomics Peak Analysis
 Computational Tool ('MPACT') (Robert M. Samples, Sara P. Puckett, and Marcy
 J. Balunas (2023) <doi:10.1021/acs.analchem.2c04632>). Filters in the
 package serve to address common errors in tandem mass spectrometry
 preprocessing, including: (1) isotopic patterns that are incorrectly split
 during preprocessing, (2) features present in solvent blanks due to
 carryover between samples, (3) features whose abundance is greater than
 user-defined abundance threshold in a specific group of samples, for example
 media blanks, (4) ions that are inconsistent between technical replicates,
 and (5) in-source fragment ions created during ionization before
 fragmentation in the tandem mass spectrometry workflow.

Package: r-cran-mpae
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-rcmdrmisc
Suggests: r-cran-car, r-cran-gbm, r-cran-leaps, r-cran-lmtest, r-cran-glmnet, r-cran-mgcv, r-cran-np, r-cran-neuralnettools, r-cran-pdp, r-cran-vivid, r-cran-plot3d, r-cran-appliedpredictivemodeling, r-cran-islr
Filename: pool/dists/focal/main/r-cran-mpae_0.1.2-1.ca2004.1_all.deb
Size: 137216
MD5sum: f60d5365eed55c61fdf9bd4dd4065e6f
SHA1: 126dfa9140fdb2296064b75146d6a29a652153ac
SHA256: 36284b44dc10cac414806e72423b5a77d9926be65d19a570a25c4b4b1393ff33
SHA512: a2f1d14c42f6fa77055512e43dc4200994c6f05a3b8693c605a311581babf6fdb24b50b0da9bb3c804d2ae8e0ca3ca78737be02b22109e49d996032fb8e047ee
Homepage: https://cran.r-project.org/package=mpae
Description: CRAN Package 'mpae' (Metodos Predictivos de Aprendizaje Estadistico (StatisticalLearning Predictive Methods))
 Functions and datasets used in the book: Fernandez-Casal, R., Costa, J. and
 Oviedo-de la Fuente, M. (2024) "Metodos predictivos de aprendizaje
 estadistico" <https://rubenfcasal.github.io/aprendizaje_estadistico/>.

Package: r-cran-mpagenomics
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils, r-cran-changepoint, r-cran-glmnet, r-cran-hdpenreg, r-cran-spikeslab
Suggests: r-bioc-cghcall, r-cran-aroma.affymetrix, r-cran-aroma.cn, r-cran-aroma.core, r-bioc-aroma.light, r-cran-snowfall, r-cran-r.devices, r-cran-r.filesets, r-cran-r.methodss3, r-cran-r.oo, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-mpagenomics_1.2.3-1.ca2004.1_all.deb
Size: 930152
MD5sum: 7d686c387be43c7a8dd99707bd3478e4
SHA1: c35d14cc143404ccbff3db1b54d1ea7a22b1271a
SHA256: 5e5f26f02218b679e8535f518c22b2d6ed19c1e6d0d20ae5ecfa455575f73734
SHA512: 16e5e5db5adf5a442119652703b9450676ee0f3f7fd1a49d9a5796699e15b0e9b108e6acf16afe2f1c9a31f834981192b128c123da509e76a1f7e00a2e4f3e7c
Homepage: https://cran.r-project.org/package=MPAgenomics
Description: CRAN Package 'MPAgenomics' (Multi-Patient Analysis of Genomic Markers)
 Preprocessing and analysis of genomic data. 'MPAgenomics' provides wrappers
 from commonly used packages to streamline their repeated manipulation,
 offering an easy-to-use pipeline. The segmentation of successive multiple
 profiles is performed with an automatic choice of parameters involved in the
 wrapped packages. Considering multiple profiles in the same time,
 'MPAgenomics' wraps efficient penalized regression methods to select
 relevant markers associated with a given outcome.  Grimonprez et al. (2014)
 <doi:10.1186/s12859-014-0394-y>.

Package: r-cran-mpathr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 952
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-readr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpathr_1.0.3-1.ca2004.1_all.deb
Size: 291808
MD5sum: a21045f9713671497c0ddde15480a414
SHA1: 76d8ac5506a9bdb5b2a1042af8984c92f47d012b
SHA256: 79e7970d40e7799d27657ac0bdfbc27431658d7f5c08cc825b59044d4c9c3cee
SHA512: fb966d4f47379c6491c0d2f0f1cb22134ff07238a05ed2b21fd571c623e156a951285f769f29b0c025f2344bbd6921b589b88f5ee40abb45ee96aef790022c57
Homepage: https://cran.r-project.org/package=mpathr
Description: CRAN Package 'mpathr' (Easily Handling Data from the ‘m-Path’ Platform)
 Provides tools for importing and cleaning Experience Sampling Method (ESM)
 data collected via the 'm-Path' platform. The goal is to provide with a few
 utility functions to be able to read and perform some common operations in
 ESM data collected through the 'm-Path' platform
 (<https://m-path.io/landing/>). Functions include raw data handling, format
 standardization, and basic data checks, as well as to calculate the response
 rate in data from ESM studies.

Package: r-cran-mpathsenser
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4867
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-furrr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-rsqlite, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-cli, r-cran-curl, r-cran-ggplot2, r-cran-httr, r-cran-kableextra, r-cran-knitr, r-cran-lintr, r-cran-progressr, r-cran-rmarkdown, r-cran-rvest, r-cran-sodium, r-cran-spelling, r-cran-testthat, r-cran-vroom
Filename: pool/dists/focal/main/r-cran-mpathsenser_1.2.3-1.ca2004.1_all.deb
Size: 3975816
MD5sum: f72b9ebae457105109d3e9f98f659763
SHA1: 76d3a587b6eb69d2cbf7cc7a62660d1d346c4305
SHA256: e26747a5bd56893ea820f01274857868dcce7c270f19dc9ea3f1418c51876cd5
SHA512: bf0747c0743bb29eae6dfef9488fcb6cb757ed3f42a523048870f648626d7f49eafb5de13f8c072d9f179b2be6be4615183b9baea9d4019c9e9186c095143f8b
Homepage: https://cran.r-project.org/package=mpathsenser
Description: CRAN Package 'mpathsenser' (Process and Analyse Data from m-Path Sense)
 Overcomes one of the major challenges in mobile (passive) sensing, namely
 being able to pre-process the raw data that comes from a mobile sensing app,
 specifically 'm-Path Sense' <https://m-path.io>.  The main task of
 'mpathsenser' is therefore to read 'm-Path Sense' JSON files into a database
 and provide several convenience functions to aid in data processing.

Package: r-cran-mpci
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mpci_1.0.7-1.ca2004.1_all.deb
Size: 43632
MD5sum: 04b5868ea35c1fe3ab6a4ef0d589b9ad
SHA1: 5d7a83ea130ccd284fee7c07fd38e3bd7da70370
SHA256: 138e0ce56f1ada4e86868a55d529f1b2be8aa4fa819d02b4dae491763e20569a
SHA512: f9fbed9061fcfeafb7aaf416172817af8f92f61d5b563ee9d65eaf715fbcbdf3252b40749a4e59b49d98f4687390931e9f3678e892a4d738f54a5c242b5b2441
Homepage: https://cran.r-project.org/package=MPCI
Description: CRAN Package 'MPCI' (Multivariate Process Capability Indices (MPCI))
 It performs the followings Multivariate Process Capability Indices:
 Shahriari et al. (1995) Multivariate Capability Vector, Taam et al. (1993)
 Multivariate Capability Index (MCpm), Pan and Lee (2010) proposal (NMCpm)
 and the followings based on Principal Component Analysis (PCA):Wang and Chen
 (1998), Xekalaki and Perakis (2002) and Wang (2005). Two datasets are
 included.

Package: r-cran-mpcv
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-mpcv_1.1-1.ca2004.1_all.deb
Size: 42432
MD5sum: 7dfd8d87c4d5773611b5a66ad6ce0bb8
SHA1: 90520ae62ecce2aa61c15f4b37080ee2b21f8a8a
SHA256: c532770ee0accbae416a825baa670d2fc6bb340f14b11b6879a4f5a23a27a6bf
SHA512: 6ecc731d6d54c5d469c9748974a2ae905fd7494261fbbe213f594f7ca964a5c8c4be2c4c9d5e8846f0cac0b74b5c7631220b5173cfe7f1518545a1aa3a205640
Homepage: https://cran.r-project.org/package=mpcv
Description: CRAN Package 'mpcv' (Multivariate Process Capability Vector)
 Multivariate process capability analysis using the multivariate process
 capability vector. Allows to analyze a multivariate process with both
 normally and non-normally distributed and also with dependent and
 independent quality characteristics.

Package: r-cran-mpdir
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mpdir_0.2-1.ca2004.1_all.deb
Size: 382568
MD5sum: af7f3c83ac3206cfae6b18ba57142f40
SHA1: 08e124641a5559172f136c5abdcabd63380dd79e
SHA256: 24fe07c0febfec06df1ca92fc19d3464b474f68c5f95e06df63bad2fe8374178
SHA512: 6a513f9790ee7f1bc2fa00e8655da70c2cdcab2d472313e3314ed9cffa912eb5abc8391c1845c2f5f2652f98003b7cd2ca54ee1b4b4de35e5f4a24cab2fbc0f4
Homepage: https://cran.r-project.org/package=MPDiR
Description: CRAN Package 'MPDiR' (Data Sets and Scripts for Modeling Psychophysical Data in R)
 Data sets and scripts for Modeling Psychophysical Data in R (Springer).

Package: r-cran-mpe
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mpe_1.0-1.ca2004.1_all.deb
Size: 71276
MD5sum: d7cee3606df6927d9b5674ed6138706f
SHA1: c5453e6b4acf647aef2810fa4dc17e4de987a1a6
SHA256: 4da9ee680883a8a4ba1946a6d793f28587cc19c8153b0ccf9c450172e7765ec3
SHA512: 2ab4ccb817e41eccef40636c921cd5f14e76fb2c01d7ed8cc5630114fd7110f8cf04650203e0734a4a85f4bd78ec8a4a549ce3b41dd81e653fd91894f1e3cf1d
Homepage: https://cran.r-project.org/package=mpe
Description: CRAN Package 'mpe' (Multiple Primary Endpoints)
 Functions for calculating sample size and power for clinical trials with
 multiple (co-)primary endpoints.

Package: r-cran-mpge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpge_1.0.0-1.ca2004.1_all.deb
Size: 75412
MD5sum: d6660510e679f21d108c7f0f3b221a7c
SHA1: 7b30ab630fa578949342ef444fdd4c701324ebcb
SHA256: 4aae3f5e4b7c14f9b54e4886e9df32c73a6e212d5517898ffbecad51de1a042e
SHA512: 16f3412310a8598bca786231a185024b623842338ad581fcb245f4b5b789f630d5ca832f92516173a093f81f87f8a0a452b847f604fd17803871675373a35efa
Homepage: https://cran.r-project.org/package=MPGE
Description: CRAN Package 'MPGE' (A Two-Step Approach to Testing Overall Effect ofGene-Environment Interaction for Multiple Phenotypes)
 Interaction between a genetic variant (e.g., a single nucleotide
 polymorphism) and an environmental variable (e.g., physical activity) can
 have a shared effect on multiple phenotypes (e.g., blood lipids). We
 implement a two-step method to test for an overall interaction effect on
 multiple phenotypes. In first step, the method tests for an overall marginal
 genetic association between the genetic variant and the multivariate
 phenotype. The genetic variants which show an evidence of marginal overall
 genetic effect in the first step are prioritized while testing for an
 overall gene-environment interaction effect in the second step. Methodology
 is available from: A Majumdar, KS Burch, S Sankararaman, B Pasaniuc, WJ
 Gauderman, JS Witte (2020) <doi:10.1101/2020.07.06.190256>.

Package: r-cran-mpi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-doparallel, r-cran-foreach, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-mpi_0.1.0-1.ca2004.1_all.deb
Size: 35768
MD5sum: 5b76038c41e9300b94d0668ee9a5194e
SHA1: 95197f886175ea9b34a2bbb880caa68888ff300d
SHA256: 803358ab252dd8a80b297ae1861d02f6cfe2152d6d54db5a72862cd6a112a1ee
SHA512: a67f591bb26f739cda5892190e954681b2cbd451ab87043e700ca3e397b8eabe5d063160a138ad9e7c699d3cf944351138db52d88343702282c90466ca43dc80
Homepage: https://cran.r-project.org/package=MPI
Description: CRAN Package 'MPI' (Computation of Multidimensional Poverty Index (MPI))
 Computing package for Multidimensional Poverty Index (MPI) using
 Alkire-Foster method. Given N individuals, each person has D indicators of
 deprivation, the package compute MPI value to represent the degree of
 poverty in a population. The inputs are 1) an N by D matrix, which has the
 element (i,j) represents whether an individual i is deprived in an indicator
 j (1 is deprived and 0 is not deprived), and 2) the deprivation threshold.
 The main output is the MPI value, which has the range between zero and one.
 MPI value is approaching one if almost all people are deprived in all
 indicators, and it is approaching zero if almost no people are deprived in
 any indicator.  Please see Alkire S., Chatterjee, M., Conconi, A., Seth, S.
 and Ana Vaz (2014) <doi:10.35648/20.500.12413/11781/ii039> for The
 Alkire-Foster methodology.

Package: r-cran-mpindex
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-openxlsx
Suggests: r-cran-rlang, r-cran-testthat, r-cran-lifecycle, r-cran-knitr, r-cran-rmarkdown, r-cran-gt
Filename: pool/dists/focal/main/r-cran-mpindex_0.2.1-1.ca2004.1_all.deb
Size: 133576
MD5sum: a42dfb16162a4b132db67aaf86bdb216
SHA1: e25b800b13ddc96861e85636303233491432253f
SHA256: 9c5de1c5213c147f3296a2cf697e252dedc5775c430875ee444d6fc2d72b7993
SHA512: 0f4c36db76a592598e9bbb1e36e91986d001baf26e9ee102bc2412477c2c66e6017e658432364e768a276aea5450b857f4bd1d0787b50c8bb3642be8aba1f3b5
Homepage: https://cran.r-project.org/package=mpindex
Description: CRAN Package 'mpindex' (Multidimensional Poverty Index (MPI))
 A set of easy-to-use functions for computing the Multidimensional Poverty
 Index (MPI).

Package: r-cran-mpinet
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-mpinet_1.0-1.ca2004.1_all.deb
Size: 385168
MD5sum: 52fab6647e46bba059c1d23e05700249
SHA1: 9ca43c799ea1daed4a8bad17775ca659793195be
SHA256: 55bc02f15c5b5befa8abaff0739b3dc131f36a2f9bdf5de1ae03920795311a91
SHA512: d3af4df2d4508d80c09845d8d8a51ff8365f53bb39bb64321f0d58a64e1ed97a4b0d553efe8f77be8d8458df04bcf9f41eb5e0aeb3d0aae8df68cafea0a384f1
Homepage: https://cran.r-project.org/package=MPINet
Description: CRAN Package 'MPINet' (The package can implement the network-based metabolite pathwayidentification of pathways)
 (1) Our system provides a network-based strategies for metabolite pathway
 identification.(2) The MPINet can support the identification of pathways
 using Hypergeometric test based on metabolite set. (3)MPINet can support
 pathways from multiple databases.

Package: r-cran-mpitbr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-survey
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-stringi, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-mpitbr_1.0.1-1.ca2004.1_all.deb
Size: 1541996
MD5sum: ee8dd41ddbf2ca5f34e5b8f37c14b176
SHA1: 3d25f01d32083e586ac02259e6657f4016302f91
SHA256: 50167b426da5f212a093052d70d96bfcc8c9b7808828eedf028f51df7033d4be
SHA512: e599d7a11d93683517cb93973a7752bf4c6bce9998f2eb5d6425a23f3acfd09a329f1022a0fa3c3d8db492617db6f9e5645f678556a6695669cf3f9550a950d1
Homepage: https://cran.r-project.org/package=mpitbR
Description: CRAN Package 'mpitbR' (Calculate Alkire-Foster Multidimensional Poverty Measures)
 Estimate Multidimensional Poverty Indices disaggregated by population
 subgroups based on the Alkire and Foster method (2011)
 <doi:10.1016/j.jpubeco.2010.11.006>. This includes the calculation of
 standard errors and confidence intervals. Other partial indices such as
 incidence, intensity and indicator-specific measures as well as
 intertemporal changes analysis can also be estimated. The standard errors
 and confidence intervals are calculated considering the complex survey
 design.

Package: r-cran-mpkn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-matrixcalc, r-cran-markovchain, r-cran-matlib
Filename: pool/dists/focal/main/r-cran-mpkn_0.1.0-1.ca2004.1_all.deb
Size: 258620
MD5sum: 27d60c8526fd59fe8b14996a02f67fe6
SHA1: 1d749685e99a3977f49143c528b0622964b18d6b
SHA256: 1767ff39ef45afaefdb402f72739ed27e53d2f6748ba61dfabec48fcb15aa810
SHA512: 5b3e2aaa20e83180b8ec9f577717c7eff11f7209b2b936dc3655f9415f415929d8b1f294ad421ebbd846a8d6be9983318f8faba27b7b9ee253fca10041f4e1f8
Homepage: https://cran.r-project.org/package=MPkn
Description: CRAN Package 'MPkn' (Calculations of One Discrete Model in Several Time Steps)
 A matrix discrete model having the form 'M[i+1] = (I + Q)*M[i]'.  The
 calculation of the values of 'M[i]' only for pre-selected values of 'i'. The
 method of calculation is presented in the vignette 'Fundament' ('Base').
 Maybe it`s own idea of the author of the package. A weakness is that the
 method gives information only in selected steps of the process.  It mainly
 refers to cases with matrices that are not Markov chain.  If 'Q' is Markov
 transition matrix, then MUPkL() may be used to calculate the steady-state
 distribution 'p' for 'p = Q*p'.  Matrix power of non integer
 (matrix.powerni()) gives the same results as a mpower() from package
 'matlib'.  References: "Markov chains",
 (<https://en.wikipedia.org/wiki/Markov_chain#Expected_number_of_visits>).
 Donald R. Burleson, Ph.D. (2005), "ON NON-INTEGER POWERS OF A SQUARE
 MATRIX", (<http://www.blackmesapress.com/Eigenvalues.htm>).

Package: r-cran-mplikelihoodwb
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mplikelihoodwb_1.1-1.ca2004.1_all.deb
Size: 39756
MD5sum: fb18d67349e77736490190577cd6f4c5
SHA1: f238c1f4ac23e6a6ec506d871bafa63584a9e72a
SHA256: 79ba92d798bed3cc0c63a271929b896bcbc83dd239e3e39f68f8b844c3318598
SHA512: cf2730ed470cafcf10d3b3365fdaff803008974769edd6f2b5edc6e8574894dc37a3e6d246b1c4f02ce3ef2a0258e4076229cb3bdd5286891b847a3f2e8a0d4c
Homepage: https://cran.r-project.org/package=MPLikelihoodWB
Description: CRAN Package 'MPLikelihoodWB' (Modified Profile Likelihood Estimation for Weibull Shape andRegression Parameters)
 Computing modified profile likelihood estimates for Weibull Shape and
 Regression Parameters. Modified likelihood estimates are provided.

Package: r-cran-mplot
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps, r-cran-foreach, r-cran-bestglm, r-cran-doparallel, r-cran-dorng, r-cran-plyr, r-cran-shinydashboard, r-cran-shiny, r-cran-glmnet, r-cran-googlevis, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-mvoutlier, r-cran-glmulti, r-cran-rmarkdown, r-cran-dt, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mplot_1.0.6-1.ca2004.1_all.deb
Size: 202492
MD5sum: fd397f30322efb9e92db33c49febd0df
SHA1: 37b2d590e52c952880d7ddc256c1eb6d19503ba3
SHA256: c630fb9437d1e3aa91a6a8caec58a1d08063d4ff77c7aaee11caeb69b9e53e26
SHA512: 027665c796ed1b41d9827d10981d97285d47ff05c06e5753ee0a6953051015dbca2c0067ef03375e95095a146efbdc96eb287ecbb58ade32de30bcefa2aef139
Homepage: https://cran.r-project.org/package=mplot
Description: CRAN Package 'mplot' (Graphical Model Stability and Variable Selection Procedures)
 Model stability and variable inclusion plots [Mueller and Welsh (2010,
 <doi:10.1111/j.1751-5823.2010.00108.x>); Murray, Heritier and Mueller (2013,
 <doi:10.1002/sim.5855>)] as well as the adaptive fence [Jiang et al.  (2008,
 <doi:10.1214/07-AOS517>); Jiang et al.  (2009,
 <doi:10.1016/j.spl.2008.10.014>)] for linear and generalised linear models.

Package: r-cran-mplusautomation
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3259
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-plyr, r-cran-gsubfn, r-cran-coda, r-cran-xtable, r-cran-lattice, r-cran-texreg, r-cran-pander, r-cran-digest, r-cran-ggplot2, r-cran-data.table, r-cran-fastdummies, r-cran-checkmate
Suggests: r-bioc-rhdf5, r-cran-relimp, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mplusautomation_1.1.1-1.ca2004.1_all.deb
Size: 2385244
MD5sum: 9def2ebd4f5669e093fc9fc06e1d2f61
SHA1: 4049ceb8fc4ad6a1fc1bc063c15f0de1aafc6a3f
SHA256: db2dfc0d82b68c4990ac905bb5883121a3dc931867c63afcce66b974bde7481f
SHA512: 12cae54561f80d862fb7392f5a8ef3f0179b8b3e2aab72d3b98898a02947b6e1d3075214439c2954328109f6753210e85fbd20722808ac7be6dbd6c1134ef155
Homepage: https://cran.r-project.org/package=MplusAutomation
Description: CRAN Package 'MplusAutomation' (An R Package for Facilitating Large-Scale Latent VariableAnalyses in Mplus)
 Leverages the R language to automate latent variable model estimation and
 interpretation using 'Mplus', a powerful latent variable modeling program
 developed by Muthen and Muthen (<https://www.statmodel.com>). Specifically,
 this package provides routines for creating related groups of models,
 running batches of models, and extracting and tabulating model parameters
 and fit statistics.

Package: r-cran-mpluslgm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mplusautomation, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr, r-cran-purrr, r-cran-ggplot2, r-cran-glue
Filename: pool/dists/focal/main/r-cran-mpluslgm_1.0.0-1.ca2004.1_all.deb
Size: 90032
MD5sum: 2a06fbd6c4bba0225fe94c092706844a
SHA1: dbcc240c2be7d499668799271c8980c8880432cb
SHA256: b8212bff93dda3382f6a114cff8c46a79ccfadfd75cd736573f97feb3494dcf4
SHA512: 8c3033ad2e9ea0f35fc9cbf421d5486e8efbe7df28f70f961a57d8c056b2287677216335518c93ebe524007f8d1ebe98b46f73e926fb139ca0d7943fa411a385
Homepage: https://cran.r-project.org/package=MplusLGM
Description: CRAN Package 'MplusLGM' (Automate Latent Growth Mixture Modelling in 'Mplus')
 Provide a suite of functions for conducting and automating Latent Growth
 Modeling (LGM) in 'Mplus', including Growth Curve Model (GCM), Growth-Based
 Trajectory Model (GBTM) and Latent Class Growth Analysis (LCGA).  The
 package builds upon the capabilities of the 'MplusAutomation' package
 (Hallquist & Wiley, 2018) to streamline large-scale latent variable
 analyses.  “MplusAutomation: An R Package for Facilitating Large-Scale
 Latent Variable Analyses in Mplus.” Structural Equation Modeling, 25(4),
 621–638. <doi:10.1080/10705511.2017.1402334> The workflow implemented in
 this package follows the recommendations outlined in Van Der Nest et al.
 (2020).  “An Overview of Mixture Modeling for Latent Evolutions in
 Longitudinal Data: Modeling Approaches, Fit Statistics, and Software.”
 Advances in Life Course Research, 43, Article 100323.
 <doi:10.1016/j.alcr.2019.100323>.

Package: r-cran-mplusparallel.automation
Architecture: all
Version: 0.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mplusautomation, r-cran-dplyr, r-cran-furrr, r-cran-future
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mplusparallel.automation_0.0.1.1-1.ca2004.1_all.deb
Size: 38484
MD5sum: 552084508ede414a570c1ae57c39a49f
SHA1: bc6dcb3f483d510dbaee9328548f6aa05d7d1b4a
SHA256: a36be439f9edeaacb9f61559890860ad8034af5d92923e3798dd28566efd70cb
SHA512: beed92ef742a07d7beb4b899ed5d5e913c8893927843915205f32ef1bc7f228b5311613e7b98dc190e2aa8653d3c1f24037cf97f173fe9218dd598df472322a4
Homepage: https://cran.r-project.org/package=mplusParallel.automation
Description: CRAN Package 'mplusParallel.automation' (Parallel Processing Automation for 'Mplus')
 Offers automation tools to parallelize 'Mplus' operations when using 'R' for
 data generation. It facilitates streamlined integration between 'Mplus' and
 'R', allowing users to run and manage multiple 'Mplus' models simultaneously
 and efficiently in 'R'.

Package: r-cran-mplustrees
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpart, r-cran-mplusautomation, r-cran-nlme, r-cran-rpart.plot
Suggests: r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-mplustrees_0.2.3-1.ca2004.1_all.deb
Size: 52956
MD5sum: 7fa2e72ceb43eeea9747ccae63a79d2f
SHA1: ed1ad75f573527233c37f53e1c018dc3b5800c47
SHA256: 6cf810cd7379253a7a019f896fc053428fe8f7c789750aa360cd26179f452ab8
SHA512: 4a717f82c869725ecb80a495a902c9a2b8e9e20992619c70d34bc8b942eab888358707fd7d56bce3937272daa115da01e9ea621382fb53de364e8aa244c2ccf4
Homepage: https://cran.r-project.org/package=MplusTrees
Description: CRAN Package 'MplusTrees' (Decision Trees with Structural Equation Models Fit in 'Mplus')
 Uses recursive partitioning to create homogeneous subgroups based on
 structural equation models fit in 'Mplus', a stand-alone program developed
 by Muthen and Muthen.

Package: r-cran-mpm
Architecture: all
Version: 1.0-23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 637
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-mpm_1.0-23-1.ca2004.1_all.deb
Size: 613420
MD5sum: 4a05f8b2bac2ba50104b54606ca0a6e1
SHA1: e99b3a56c360963dbaac18e89bcdc84d693c7acc
SHA256: 01b0f8efd27c89ae1b2a7ab48982264285a3a08436938c2decaf30ef35783579
SHA512: 593c3b602f76d53f1e5033f6562aec588237288be26108b4dda78236f7b340f6b74e2292b7da16ed96613c171ff33cc39290bf8bac1cf56ed33be32c42e97766
Homepage: https://cran.r-project.org/package=mpm
Description: CRAN Package 'mpm' (Multivariate Projection Methods)
 Exploratory graphical analysis of multivariate data, specifically gene
 expression data with different projection methods: principal component
 analysis, correspondence analysis, spectral map analysis.

Package: r-cran-mpmcorrelogram
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-mpmcorrelogram_0.1-5-1.ca2004.1_all.deb
Size: 31688
MD5sum: cc1029e67a082baef256fdd6f9e18c7f
SHA1: 162f9b765bb4239b0b890600f88b4842cb29bac2
SHA256: 98858ff07dfb3c41f4801349bda290fcb615d8ddde2ed166fc66932d86d63cd6
SHA512: 56d33f68c8f1ab41b9125b35492e3c1920cc53d325ae9a30d553d282eccdf8910d0684b01e4c29e609c9c70189ba7cb49d879568f46b774be8fc6779ca327fb5
Homepage: https://cran.r-project.org/package=mpmcorrelogram
Description: CRAN Package 'mpmcorrelogram' (Multivariate Partial Mantel Correlogram)
 Functions to compute and plot multivariate (partial) Mantel correlograms.

Package: r-cran-mpmsim
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 688
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-popbio, r-cran-popdemo, r-cran-rage, r-cran-rcompadre, r-cran-reshape
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpmsim_3.2.1-1.ca2004.1_all.deb
Size: 408652
MD5sum: df26cb7e6e6f526d8b58538de97ad9db
SHA1: f328066f16ab06d3dc47195a3d62968dc3b32db1
SHA256: a465cc1187d4033e926440f0267cf33f8ad337f67fe5553a9cd67fef26532a47
SHA512: 34465eb5f7026a900c8246c90cb7b64b91ff9be9284d589f44e03eb28b5282d3e88cc2f5e54266fa090d3e4154c92444d40f881599d7dd65ee86c4ecc4195b6a
Homepage: https://cran.r-project.org/package=mpmsim
Description: CRAN Package 'mpmsim' (Simulation of Matrix Population Models with Defined Life HistoryCharacteristics)
 Allows users to simulate matrix population models with particular
 characteristics based on aspects of life history such as mortality
 trajectories and fertility trajectories. Also allows the exploration of
 sampling error due to small sample size.

Package: r-cran-mpn
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpn_0.4.0-1.ca2004.1_all.deb
Size: 73716
MD5sum: bac9195c87f2632817a034ef3cc6a4ac
SHA1: ebffc36daa9876102ebf933c9a0f5bc64eac465e
SHA256: cd99f441f4154c4b48171328b44475feaa0294edc8602928e4d34a2c45f46879
SHA512: 3f9a75a953e04d8d92b70120254fb477042e948e37e0d7b63de7017e774885e1124e891f924f172bdac71499924169b31def473fcf65bc7f766379cf6119c992
Homepage: https://cran.r-project.org/package=MPN
Description: CRAN Package 'MPN' (Most Probable Number and Other Microbial Enumeration Techniques)
 Calculates the Most Probable Number (MPN) to quantify the concentration
 (density) of microbes in serial dilutions of a laboratory sample (described
 in Jarvis, 2010 <doi:10.1111/j.1365-2672.2010.04792.x>).  Also calculates
 the Aerobic Plate Count (APC) for similar microbial enumeration experiments.

Package: r-cran-mpoly
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-stringi, r-cran-partitions, r-cran-plyr, r-cran-ggplot2, r-cran-polynom, r-cran-orthopolynom, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mpoly_1.1.2-1.ca2004.1_all.deb
Size: 205668
MD5sum: aec6cc48a6fcab68956e8f0b11b6880a
SHA1: c00803063d75e07fb25b28cded9c0d0c54a08348
SHA256: dd48b2acf96664e62751de85c34bfe91f9a080771e3e94b814d51c7d328e9f47
SHA512: f61265ee4ddc7756ab32cf74095aaf5f2548efd1657809e94ae1eb2d4a0e0222d1fef3ba3ce5c9d44c1c1160c222c70da8dd932a78c1b6fe3de642279f6b8342
Homepage: https://cran.r-project.org/package=mpoly
Description: CRAN Package 'mpoly' (Symbolic Computation and More with Multivariate Polynomials)
 Symbolic computing with multivariate polynomials in R.

Package: r-cran-mpower
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1572
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-abind, r-cran-boot, r-cran-dplyr, r-cran-dosnow, r-cran-foreach, r-cran-ggplot2, r-cran-mass, r-cran-magrittr, r-cran-purrr, r-cran-snow, r-cran-sbgcop, r-cran-rlang, r-cran-reshape2, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-bma, r-cran-bkmr, r-cran-bws, r-cran-infinitefactor, r-cran-knitr, r-cran-nhanes, r-cran-qgcomp, r-cran-rmarkdown, r-cran-rstan, r-cran-testthat, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-mpower_0.1.0-1.ca2004.1_all.deb
Size: 1493260
MD5sum: 2448770a313b26912ab13c7ef525e86f
SHA1: d9c7625c1598e7cf8e9c4fbb827f33214c3f3e7e
SHA256: eeb1757ce43a198b4eb9b5876515da63a6ac51adde8e0e99164c1249eadaa758
SHA512: 093c42547e19f11896687e6bf3b35a42278e2eec747bb2c37fb46c4ad79dd0b5007ed0f86aeabe0d6313b5a2b1edbf6f6be00ee529bc13cf6cc26eedd29fe7cd
Homepage: https://cran.r-project.org/package=mpower
Description: CRAN Package 'mpower' (Power Analysis via Monte Carlo Simulation for Correlated Data)
 A flexible framework for power analysis using Monte Carlo simulation for
 settings in which considerations of the correlations between predictors are
 important. Users can set up a data generative model that preserves
 dependence structures among predictors given existing data (continuous,
 binary, or ordinal). Users can also generate power curves to assess the
 trade-offs between sample size, effect size, and power of a design.  This
 package includes several statistical models common in environmental mixtures
 studies. For more details and tutorials, see Nguyen et al. (2022)
 <arXiv:2209.08036>.

Package: r-cran-mppa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mppa_1.0-1.ca2004.1_all.deb
Size: 67936
MD5sum: 10cc004d7330e6c069cb6a2e3b852517
SHA1: c6838cb22e19229fdf1987c8f4cb37023187c1c3
SHA256: d83645219d1b6b957e7889ef967e275f9500714358ddf0e43eb0c40aab4dfbff
SHA512: 53c2e9ab0bed092563f31175aaf8b35b4d8026746d1ca2c4f69919e7440c0e87cc8d5a019467c709d57f202abf42e1b755e0ebf69221e967e260e3557e69390d
Homepage: https://cran.r-project.org/package=mppa
Description: CRAN Package 'mppa' (Statistics for analysing multiple simultaneous point processeson the real line)
 A procedure to test for dependence between point processes on the real line,
 e.g. causal dependence, correlation, inhibition or anti-correlation. The
 package also provides a number of utilities for plotting simultaneous point
 processes, and combining p-values.

Package: r-cran-mppr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2685
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-igraph, r-cran-matrix, r-cran-nlme, r-cran-qtl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mppr_1.5.0-1.ca2004.1_all.deb
Size: 1990164
MD5sum: 8da2a96e467ba5c2d019194c97023c20
SHA1: 76ae7a6d24333b62160c35302b9ed9edac1d3f9d
SHA256: bf24ad761e844bdbb112d331317452b2689f872b6cb6af5302443f3e5b09b0be
SHA512: 38c8541ad4f040fa4a630936dc008a1f6d776ad74d600a20b30a549ea7fda46172cf95aa7a81fb0191356b8cb931ef02c4fc038840ce1eca179d7bdd1715eabe
Homepage: https://cran.r-project.org/package=mppR
Description: CRAN Package 'mppR' (Multi-Parent Population QTL Analysis)
 Analysis of experimental multi-parent populations to detect regions of the
 genome (called quantitative trait loci, QTLs) influencing phenotypic traits
 measured in unique and multiple environments.  The population must be
 composed of crosses between a set of at least three parents (e.g. factorial
 design, 'diallel', or nested association mapping). The functions cover data
 processing, QTL detection, and results visualization. The implemented
 methodology is described in Garin, Wimmer, Mezmouk, Malosetti and van
 Eeuwijk (2017) <doi:10.1007/s00122-017-2923-3>, in Garin, Malosetti and van
 Eeuwijk (2020) <doi: 10.1007/s00122-020-03621-0>, and in Garin, Diallo,
 Tekete, Thera, ..., and Rami (2024) <doi: 10.1093/genetics/iyae003>.

Package: r-cran-mpr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-mpr_1.0.6-1.ca2004.1_all.deb
Size: 106672
MD5sum: bfb11af8be65e86f54b49eab14fa9120
SHA1: 647427bcfc425d1df5c881a82fb75403a1458384
SHA256: fac661d5389c9be53cef28811013abdaa8f3c8d1fd2be115723388052dc215c0
SHA512: 688abe7e0d0fe186ec62c6f4b63a98218414476779d79c74e04a5c30c0fe608b85c4ad9cae74150555ae0b3067f32570f6c42fd61f7da8a426f728500b749202
Homepage: https://cran.r-project.org/package=mpr
Description: CRAN Package 'mpr' (Multi-Parameter Regression (MPR))
 Fitting Multi-Parameter Regression (MPR) models to right-censored survival
 data. These are flexible parametric regression models which extend standard
 models, for example, proportional hazards. See Burke & MacKenzie (2016)
 <doi:10.1111/biom.12625> and Burke et al (2020) <doi:10.1111/rssc.12398>.

Package: r-cran-mps
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1819
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mps_2.3.1-1.ca2004.1_all.deb
Size: 1245748
MD5sum: 01cf4c9be71d2166e8768dcf803fd102
SHA1: 2758e9e145863f7be43ef368c0cf7dbe2a4c52fc
SHA256: 491e2da9e83909f6b5c470771a75b2e50a6323845c26a2b6eb30c540552de8ea
SHA512: 21b33661520fd8b9614baaba2aeefc8c6d75fc6d36fd49ee87ea737c6ff86ce5e3352d486968cdbea5f748a0df59dd38ed96ee034b477114433cac4d8f7c3d1b
Homepage: https://cran.r-project.org/package=MPS
Description: CRAN Package 'MPS' (Estimating Through the Maximum Product Spacing Approach)
 Developed for computing the probability density function, computing the
 cumulative distribution function, computing the quantile function, random
 generation, drawing q-q plot, and estimating the parameters of 24 G-family
 of statistical distributions via the maximum product spacing approach
 introduced in <https://www.jstor.org/stable/2345411>. The set of families
 contains: beta G distribution, beta exponential G distribution, beta
 extended G distribution, exponentiated G distribution, exponentiated
 exponential Poisson G distribution, exponentiated generalized G
 distribution, exponentiated Kumaraswamy G distribution, gamma type I G
 distribution, gamma type II G distribution, gamma uniform G distribution,
 gamma-X generated of log-logistic family of G distribution, gamma-X family
 of modified beta exponential G distribution, geometric exponential Poisson G
 distribution, generalized beta G distribution, generalized transmuted G
 distribution, Kumaraswamy G distribution, log gamma type I G distribution,
 log gamma type II G distribution, Marshall Olkin G distribution, Marshall
 Olkin Kumaraswamy G distribution, modified beta G distribution, odd
 log-logistic G distribution, truncated-exponential skew-symmetric G
 distribution, and Weibull G distribution.

Package: r-cran-mpspline2
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mpspline2_0.1.6-1.ca2004.1_all.deb
Size: 55132
MD5sum: 5e614b0549cfe312eb18773d9b5ac403
SHA1: 5d3792fd0116882a4168254fded4a4b83a299151
SHA256: b00a30e88da74f1f38960a52dbe0336e5f79b374faa772512cf8c60ee56a3ebd
SHA512: fd6e3b7c576c90ee0f62e024467cd889a69594d83ac25c0d1ae049601a6eb603796f51cde5f8412f2652e33c9d142d801628767ebcd442ee8873bb35e585125e
Homepage: https://cran.r-project.org/package=mpspline2
Description: CRAN Package 'mpspline2' (Mass-Preserving Spline Functions for Soil Data)
 A low-dependency implementation of GSIF::mpspline()
 <https://r-forge.r-project.org/scm/viewvc.php/pkg/R/mpspline.R?view=markup&revision=240&root=gsif>,
 which applies a mass-preserving spline to soil attributes. Splining soil
 data is a safe way to make continuous down-profile estimates of attributes
 measured over discrete, often discontinuous depth intervals.

Package: r-cran-mpsychor
Architecture: all
Version: 0.10-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4380
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mpsychor_0.10-8-1.ca2004.1_all.deb
Size: 4320424
MD5sum: af4feec01617832f710cd2f72afa53d8
SHA1: 819edc2581125d2449150e7018cfefe0cbbc769c
SHA256: a146c05ed12ae3a10679772d6c6e62a27d98b0d50192acdca3f61d63defeacaf
SHA512: 298ab4107e38457a2956e7d27e8baf004bdb87306c52074282f9fae69ea6151651053ef3bceb04a83c8930f5a58dcd17674343b105c6de4f7220d9577c653e21
Homepage: https://cran.r-project.org/package=MPsychoR
Description: CRAN Package 'MPsychoR' (Modern Psychometrics with R)
 Supplementary materials and datasets for the book "Modern Psychometrics With
 R" (Mair, 2018, Springer useR! series).

Package: r-cran-mpt
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mpt_1.0-0-1.ca2004.1_all.deb
Size: 377972
MD5sum: e4336a2b86084dd8a59976b0893c2d43
SHA1: 6af1d47586e3ef73c2d351a03a0cbdeec4900220
SHA256: ca694a38604777f4b2d48a64a73f49aa3b3662317e613a732fa5c1cb4cdf5481
SHA512: ef0ee6c49b67b773354f1b6c8b8393c975efe6436cf1e46ea92e1fd64d4b40710a22a953eb94c17b2bb789cc7a062a40899a362a3a2ecfecac7f4a39f47e9829
Homepage: https://cran.r-project.org/package=mpt
Description: CRAN Package 'mpt' (Multinomial Processing Tree Models)
 Fitting and testing multinomial processing tree (MPT) models, a class of
 nonlinear models for categorical data.  The parameters are the link
 probabilities of a tree-like graph and represent the latent cognitive
 processing steps executed to arrive at observable response categories
 (Batchelder & Riefer, 1999 <doi:10.3758/bf03210812>; Erdfelder et al., 2009
 <doi:10.1027/0044-3409.217.3.108>; Riefer & Batchelder, 1988
 <doi:10.1037/0033-295x.95.3.318>).

Package: r-cran-mptmultiverse
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1407
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-reshape2, r-cran-ggplot2, r-cran-mptinr, r-cran-treebugs, r-cran-runjags, r-cran-coda, r-cran-purrr, r-cran-readr, r-cran-limsolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mptmultiverse_0.4-2-1.ca2004.1_all.deb
Size: 1064516
MD5sum: 909c977d0716662e3d3d0b931ab79299
SHA1: c856b4fa3f08c43a54b5804f151378972398f2a8
SHA256: b1fcc80b8f6caae48c7f7e8a2aae517b9e0993a5b2972b56792a2a04dfcefadc
SHA512: 24d986e8c415cf737c6f70b4339a669e951372dac51a93389da5c4c5c201677eac9fc36a1ff9b553f8549c12662fb5d7c1b77a3a1efb8ee46dd987ce091c0eca
Homepage: https://cran.r-project.org/package=MPTmultiverse
Description: CRAN Package 'MPTmultiverse' (Multiverse Analysis of Multinomial Processing Tree Models)
 Statistical or cognitive modeling usually requires a number of more or less
 arbitrary choices creating one specific path through a 'garden of forking
 paths'.  The multiverse approach (Steegen, Tuerlinckx, Gelman, & Vanpaemel,
 2016, <doi:10.1177/1745691616658637>) offers a principled alternative in
 which results for all possible combinations of reasonable modeling choices
 are reported.  MPTmultiverse performs a multiverse analysis for multinomial
 processing tree (MPT, Riefer & Batchelder, 1988,
 <doi:10.1037/0033-295X.95.3.318>) models combining
 maximum-likelihood/frequentist and Bayesian estimation approaches with
 different levels of pooling (i.e., data aggregation). For the frequentist
 approaches, no pooling (with and without parametric or nonparametric
 bootstrap) and complete pooling are implemented using MPTinR
 <https://cran.r-project.org/package=MPTinR>.  For the Bayesian approaches,
 no pooling, complete pooling, and three different variants of partial
 pooling are implemented using TreeBUGS
 <https://cran.r-project.org/package=TreeBUGS>. The main function is
 fit_mpt() who performs the multiverse analysis in one call.

Package: r-cran-mptools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-animation, r-cran-lattice, r-cran-zoo, r-cran-rastervis, r-cran-latticeextra, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgdal, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-mptools_1.0.1-1.ca2004.1_all.deb
Size: 2365596
MD5sum: fa097fd38c8ec619a08e9f78f5cfbf6d
SHA1: b3b725371312c98e490b31d09191034d2f2ee51f
SHA256: 98ee934b7e4dd7b1100325b37f0eadde78270f4d15b904934a83413107586867
SHA512: 9356a9da3b6f1ed034ba39a792b1845ed9c2953b0d18dcc379bb46e00709ad80bed291185bb0f28c49c3b93de5a8f583d721fe985f6b247062045735c5f050b7
Homepage: https://cran.r-project.org/package=mptools
Description: CRAN Package 'mptools' (RAMAS Metapop Tools)
 'RAMAS Metapop' <https://www.ramas.com/ramas.htm#metapop> is a popular
 software package for performing spatially-explicit population viability
 analysis. It is primarily GUI-driven, but can benefit from integration into
 an R workflow, wherein model results can be subjected to further analysis.
 'RAMAS Metapop' stores metapopulation model parameter settings and
 population dynamics simulation results in plain text files (.mp files). This
 package facilitates access, summary and visualisation of 'RAMAS Metapop 5'
 outputs in order to better integrate 'RAMAS' analyses into an R workflow.

Package: r-cran-mpv
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 653
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-mpv_2.0-1.ca2004.1_all.deb
Size: 541740
MD5sum: 0871c9ec77a3b3ab92ac266b0f5fa6bc
SHA1: 3f3161bad536c2cd6c3a0c2e61086ee1bdca41cd
SHA256: a58ff28aed210ab38d65c8c7e2e178a63c8e0d82d071f42bb51f49780d458f80
SHA512: e005f42e69230eebf6367c03af20fd258e58cf68f6abf3436db3725067a29393cf32c0eb64bcdaa25369fe82cb36e494ed8306f015adb50a10bdb54d13541ebf
Homepage: https://cran.r-project.org/package=MPV
Description: CRAN Package 'MPV' (Data Sets from Montgomery, Peck and Vining)
 Most of this package consists of data sets from the textbook Introduction to
 Linear Regression Analysis (3rd ed), by Montgomery, Peck and Vining.  Some
 additional data sets and functions are also included.

Package: r-cran-mpwr
Architecture: all
Version: 0.1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 858
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-comprehenr, r-cran-data.table, r-cran-dplyr, r-cran-flowtracer, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-plotly, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-upsetr
Suggests: r-cran-flextable, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mpwr_0.1.5.1-1.ca2004.1_all.deb
Size: 594564
MD5sum: b68ac3ce218f3a1533466b6407e203fe
SHA1: 199ab28acdd54e349a4fba0b3d4d1384e2ad121f
SHA256: 3553ee68b072d9ef109c4c0e4ff2e7b88d50874ad319cdbcc53d03cb9971953d
SHA512: bea670bccec944786ec611f1537adcdac1f48ff4e4397f8e1391003da043bea2290da90b67a1bc716f546b1dfba6b2e9ef6ff02f8c3defd4b66385b9796402db
Homepage: https://cran.r-project.org/package=mpwR
Description: CRAN Package 'mpwR' (Standardized Comparison of Workflows in Mass Spectrometry-BasedBottom-Up Proteomics)
 Useful functions to analyze proteomic workflows including number of
 identifications, data completeness, missed cleavages, quantitative and
 retention time precision etc. Various software outputs are supported such as
 'ProteomeDiscoverer', 'Spectronaut', 'DIA-NN' and 'MaxQuant'.

Package: r-cran-mqmf
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 508
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mqmf_0.1.5-1.ca2004.1_all.deb
Size: 449356
MD5sum: 12406ffc34b5edb8761759010de0280f
SHA1: 7f376503f94fd93999d316f92731bdb52ea87e51
SHA256: 2fe7bacbb17b5d79d85520ad08aac8b4c423650215af4261f30ee416a5f9e62a
SHA512: 12841beb12843aaa4ba5196e4193ae5dfd51267dc215e48ebb5c3db050773906ff719224272a731b314a66615eee4cb148f140a93f4e8e7312c23989e8c78af1
Homepage: https://cran.r-project.org/package=MQMF
Description: CRAN Package 'MQMF' (Modelling and Quantitative Methods in Fisheries)
 Complements the book "Using R for Modelling and Quantitative Methods in
 Fisheries" ISBN 9780367469894, published in 2021 by Chapman & Hall in their
 "Using R series".  There are numerous functions and data-sets that are used
 in the book's many practical examples.

Package: r-cran-mqrcm
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pch, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-mqrcm_1.3-1.ca2004.1_all.deb
Size: 131948
MD5sum: bf744a9d4e282a8b036efea3b545e28b
SHA1: b5d01f958b6c7c012ea9a7e0e36f52df3a7690a3
SHA256: 0863728b2a57e433dbf5ae708f56a6dbe38a97a06c36c9d7a6378d509e006c76
SHA512: 097bc33dfbd20bc51806bafd3d164b77c6ea3d7e87b7f97a26c1a561bd8e90b506027176e1369bd357cf8fe70f143cc039353defc0788d9d6937ef129b284fe4
Homepage: https://cran.r-project.org/package=Mqrcm
Description: CRAN Package 'Mqrcm' (M-Quantile Regression Coefficients Modeling)
 Parametric modeling of M-quantile regression coefficient functions.

Package: r-cran-mr.pivw
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mr.pivw_0.1.1-1.ca2004.1_all.deb
Size: 54660
MD5sum: 1be0b4d6cc9f5ccf40d9bc06c697f322
SHA1: ed27c5628663189ebb8ad6093ea7f96d2fbba875
SHA256: b95f130621c40a78790c71944c1f98c8a81d8cdfbbd639bcd796e47e39559941
SHA512: c397e18dad96f690398c2fc634dc06fe8f7b780db00c3b7337ef77db4dfac2eab69ed27ad9e79aa8a2e9826e1fa627d33c7f67d10a71ccd877ed8e32a79260c0
Homepage: https://cran.r-project.org/package=mr.pivw
Description: CRAN Package 'mr.pivw' (Penalized Inverse-Variance Weighted Estimator for MendelianRandomization)
 The penalized inverse-variance weighted (pIVW) estimator is a Mendelian
 randomization method for estimating the causal effect of an exposure
 variable on an outcome of interest based on summary-level GWAS data. The
 pIVW estimator accounts for weak instruments and balanced horizontal
 pleiotropy simultaneously. See Xu S., Wang P., Fung W.K. and Liu Z. (2022)
 <doi:10.1111/biom.13732>.

Package: r-cran-mr.raps
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-mr.raps_0.2-1.ca2004.1_all.deb
Size: 128704
MD5sum: 85b237e9ab74cecd2326a55c05dd4def
SHA1: 5e06c2e089149905a8b4f56330777a01483c89c0
SHA256: 489882caa262d70c91b7641185e182f035a12dcd276316e2b0fb111d10531bda
SHA512: f3eb5e9392ff118bf4dbc36abaafe24c4abee9bba7d4286627f536944c299d4b8d90de3b67a7a788b97f0d4403db5d9ae6750446ff9a181da1ca82efaace4003
Homepage: https://cran.r-project.org/package=mr.raps
Description: CRAN Package 'mr.raps' (Two Sample Mendelian Randomization using Robust Adjusted ProfileScore)
 Mendelian randomization is a method of identifying and estimating a
 confounded causal effect using genetic instrumental variables. This packages
 implements methods for two-sample Mendelian randomization with summary
 statistics by using Robust Adjusted Profile Score (RAPS). References:
 Qingyuan Zhao, Jingshu Wang, Jack Bowden, Dylan S. Small. Statistical
 inference in two-sample summary-data Mendelian randomization using robust
 adjusted profile score. <arXiv:1801.09652>.

Package: r-cran-mram
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rann
Filename: pool/dists/focal/main/r-cran-mram_0.1.2-1.ca2004.1_all.deb
Size: 21732
MD5sum: 59b605d7b8e4c98e2d1bf97f81ee9251
SHA1: 6c9c46a0850ba8f76b07d4693d54de1aeee952b0
SHA256: 67fc94603af131bd2bc13a0d4ac22876cc98a7d05fbe121f8dad6c014058d8e3
SHA512: 0eb7d7393cac6b6f3127e548c8997e09f2b6e1108f56e66c4dfba9ce6213c418dc6f4eda8c6fc64faad10d2a873e67071c5d3eb12c5e84e6fcdeff439ebb2b0d
Homepage: https://cran.r-project.org/package=MRAM
Description: CRAN Package 'MRAM' (Multivariate Regression Association Measure)
 The multivariate regression association measure quantifies the
 predictability of one random vector from another. This package provides a
 function for estimating and performing inference on this measure. A variable
 selection algorithm based on this measure is also included. For more
 details, see Shih and Chen (2025) <in revision>.

Package: r-cran-mratios
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-multcomp, r-cran-survival, r-cran-survpresmooth
Suggests: r-cran-nlme
Filename: pool/dists/focal/main/r-cran-mratios_1.4.4-1.ca2004.1_all.deb
Size: 242208
MD5sum: fefac8180fbb1146a8e30e6106a34f9a
SHA1: fd575c7150c8c9816ff5f1ae37b3e875f000fc19
SHA256: e0a406ac08d35f3847d7b96809f1ac71ce9e74f8ee23dd40aaf5736506105b6f
SHA512: 4dbf9d9b8f22943fa5f67f05847f0fb4af54ad9855345f1792ecf57d9fb72100e1bd5056236a1db754b356768408adbce9323bda4f8de38dc3cfbffb275a8d93
Homepage: https://cran.r-project.org/package=mratios
Description: CRAN Package 'mratios' (Ratios of Coefficients in the General Linear Model)
 Performs (simultaneous) inferences for ratios of linear combinations of
 coefficients in the general linear model, linear mixed model, and for
 quantiles in a one-way layout. Multiple comparisons and simultaneous
 confidence interval estimations can be performed for ratios of treatment
 means in the normal one-way layout with homogeneous and heterogeneous
 treatment variances, according to Dilba et al. (2007)
 <https://cran.r-project.org/doc/Rnews/Rnews_2007-1.pdf> and Hasler and
 Hothorn (2008) <doi:10.1002/bimj.200710466>. Confidence interval estimations
 for ratios of linear combinations of linear model parameters like in
 (multiple) slope ratio and parallel line assays can be carried out.
 Moreover, it is possible to calculate the sample sizes required in
 comparisons with a control based on relative margins. For the simple
 two-sample problem, functions for a t-test for ratio-formatted hypotheses
 and the corresponding confidence interval are provided assuming homogeneous
 or heterogeneous group variances.

Package: r-cran-mrbin
Architecture: all
Version: 1.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5000
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-keras
Filename: pool/dists/focal/main/r-cran-mrbin_1.9.3-1.ca2004.1_all.deb
Size: 3608276
MD5sum: f1e7d94eb8d143589f58e4ee6e5f91ba
SHA1: 423cdbd26378817baf1904fd287aebf243f3a7ad
SHA256: cf8dc06a36f83c3608c644cc5c448eba6724db48ff2ab6426246f9745d5bccd1
SHA512: 461f319d519014c8f565c3fd8183bd9c5fcfeb204a609b9b2a760236bc0c6aa1f1fe346f099d9018f350477089bd48d3886527ae0c7b5bafb6df91a430e125f6
Homepage: https://cran.r-project.org/package=mrbin
Description: CRAN Package 'mrbin' (Metabolomics Data Analysis Functions)
 A collection of functions for processing and analyzing metabolite data.  The
 namesake function mrbin() converts 1D or 2D Nuclear Magnetic Resonance data
 into a matrix of values suitable for further data analysis and performs
 basic processing steps in a reproducible way. Negative values, a common
 issue in such data, can be replaced by positive values
 (<doi:10.1021/acs.jproteome.0c00684>). All used parameters are stored in a
 readable text file and can be restored from that file to enable exact
 reproduction of the data at a later time. The function fia() ranks features
 according to their impact on classifier models, especially artificial neural
 network models.

Package: r-cran-mrc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mrc_0.1.0-1.ca2004.1_all.deb
Size: 13584
MD5sum: 331e350d56d146cf85d762dd853cf42a
SHA1: 9cdc536cbc14c665ae88f58887a51a05c98683c7
SHA256: dc330c98f1fc9842262ecb156c8410327391ae569f6e3116af074506fa51d2aa
SHA512: e1f038dd16778d4ce3d6afe6dca61401d30e4cc123614e8627842c4ca957f3f5de3a3faaeac726628c83c0e77bbc859fb599f8e5c9743bde7017e77d9caafcc4
Homepage: https://cran.r-project.org/package=mRc
Description: CRAN Package 'mRc' (Multi-Visit Closed Population Mark-Recapture Estimates)
 Compute bootstrap confidence intervals for the adjusted Schnabel and
 Schumacher-Eschmeyer multi-visit mark-recapture estimators based on Dettloff
 (2023) <doi:10.1016/j.fishres.2023.106756>.

Package: r-cran-mrct
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fda, r-cran-fdapace, r-cran-ggplot2, r-cran-rdpack, r-cran-reshape2, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-mrct_0.0.1.0-1.ca2004.1_all.deb
Size: 59904
MD5sum: 870a0c92394fd15edb432751a0b445dc
SHA1: bbd38e617f29ba40191e9be9f323430503008002
SHA256: 497bf49a5e707d1b412d1d37d65ccf95ce2e3002b8ebdd6ef5f375dd27b678b7
SHA512: aca52a51a17af7f773662ff7a37a3f18e560640648cc16ecbcf2e7037f5f762b948378260c35fe940a06ab1517e9b563c7b61a083eece6bbd15dff6007e8ea2a
Homepage: https://cran.r-project.org/package=mrct
Description: CRAN Package 'mrct' (Outlier Detection of Functional Data Based on the MinimumRegularized Covariance Trace Estimator)
 Detect outlying observations in functional data sets based on the minimum
 regularized covariance trace (MRCT) estimator. Includes implementation of
 Oguamalam et al. (2023) <arXiv:2307.13509>.

Package: r-cran-mrcv
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tables
Suggests: r-cran-geepack
Filename: pool/dists/focal/main/r-cran-mrcv_0.4-0-1.ca2004.1_all.deb
Size: 429428
MD5sum: 94a1a0920feb3004ebdab4af248e6d61
SHA1: 14801d9d7338163efdf2661c784c781374985882
SHA256: 1fbc58a7825089d3062cdf70c2a806d1f0301d275c9b88105175f96bb2eb9eff
SHA512: b5511e310b598effc04659580a6677782d3400fccfc8464b7c9b2c34b1cd23b9014885199362dd0bbcebc40ed9044c299a875b080c31347cdffb967aa827bac8
Homepage: https://cran.r-project.org/package=MRCV
Description: CRAN Package 'MRCV' (Methods for Analyzing Multiple Response Categorical Variables(MRCVs))
 Provides functions for analyzing the association between one single response
 categorical variable (SRCV) and one multiple response categorical variable
 (MRCV), or between two or three MRCVs.  A modified Pearson chi-square
 statistic can be used to test for marginal independence for the one or two
 MRCV case, or a more general loglinear modeling approach can be used to
 examine various other structures of association for the two or three MRCV
 case.  Bootstrap- and asymptotic-based standardized residuals and
 model-predicted odds ratios are available, in addition to other descriptive
 information. Statisical methods implemented are described in Bilder et al.
 (2000) <doi:10.1080/03610910008813665>, Bilder and Loughin (2004)
 <doi:10.1111/j.0006-341X.2004.00147.x>, Bilder and Loughin (2007)
 <doi:10.1080/03610920600974419>, and Koziol and Bilder (2014)
 <https://journal.r-project.org/articles/RJ-2014-014/>.

Package: r-cran-mrds
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-optimx, r-cran-mgcv, r-cran-numderiv, r-cran-nloptr, r-cran-rsolnp
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-mrds_3.0.0-1.ca2004.1_all.deb
Size: 958148
MD5sum: dafd64bc6fdf54a92c0e3c05147b153a
SHA1: a782db4b585072ea7e98eb88745c5567d3dc932f
SHA256: fc1767220ce8c860c5327a96dc6440729da0ff4619f5eb5ebe5c2ff860995120
SHA512: f5578a5375419ef427251769897756eb2027721c1a4dff1c0e9c7bbe93fc94606c509e81573621247d77652d9e218e1782be91eb0646c70bbd762c39d66a84fd
Homepage: https://cran.r-project.org/package=mrds
Description: CRAN Package 'mrds' (Mark-Recapture Distance Sampling)
 Animal abundance estimation via conventional, multiple covariate and
 mark-recapture distance sampling (CDS/MCDS/MRDS). Detection function fitting
 is performed via maximum likelihood. Also included are diagnostics and
 plotting for fitted detection functions. Abundance estimation is via a
 Horvitz-Thompson-like estimator.

Package: r-cran-mreg
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mreg_1.2.1-1.ca2004.1_all.deb
Size: 60668
MD5sum: 0a0c06c960871f54bef8306239e80818
SHA1: 4dc362c2bf73dc6eed36f9c806338dd54b6e613e
SHA256: 17e0bb194996d32fc7a2284ebf0a9ce6e86413b57d9cb54479a3318895520720
SHA512: 87c407124d79bee517649b8bf1e319acf7b663a185f1541ae7098c47d17ed599fdfa288bfbcb128b328dea0948d3baacf98b02dec281edf8738a285cad2bb9fe
Homepage: https://cran.r-project.org/package=mreg
Description: CRAN Package 'mreg' (Fits Regression Models When the Outcome is Partially Missing)
 Implements the methods described in Bond S, Farewell V, 2006, Exact
 Likelihood Estimation for a Negative Binomial Regression Model with Missing
 Outcomes, Biometrics.

Package: r-cran-mregions2
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-glue, r-cran-httr2, r-cran-magrittr, r-cran-sf, r-cran-rdflib, r-cran-isocodes, r-cran-memoise, r-cran-cli, r-cran-dplyr, r-cran-xml2, r-cran-wrapr, r-cran-curl, r-cran-digest
Suggests: r-cran-ows4r, r-cran-httptest2, r-cran-jsonlite, r-cran-knitr, r-cran-leaflet, r-cran-leaflet.extras2, r-cran-mapview, r-cran-rmarkdown, r-cran-testthat, r-cran-wk, r-cran-purrr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-mregions2_1.1.2-1.ca2004.1_all.deb
Size: 760052
MD5sum: 4ddd5a22acf95561c55b0895f51cd918
SHA1: 63c5dc6ea53e1aed030fec8ceda1cd86f79ba54f
SHA256: 84260d65abd40344911578d4e4514b595a5cf0908dc35774acde024a817540c4
SHA512: e989246020c9e890bd6f09f043cb9a1e43db91e21a7901a714855b53c395eb253d70e83d82b53ab04edc794877de038cb38235f916bc9b4a316bc63a0c9796e1
Homepage: https://cran.r-project.org/package=mregions2
Description: CRAN Package 'mregions2' (Access Data from Marine Regions: Gazetteer & Data Products)
 Explore and retrieve marine spatial data from the Marine Regions Gazetteer
 <https://marineregions.org/gazetteer.php?p=webservices> and the Marine
 Regions Data Products <https://marineregions.org/webservices.php>.

Package: r-cran-mregions
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4716
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-rappdirs, r-cran-sp, r-cran-sf, r-cran-data.table, r-cran-tibble, r-cran-geojsonio, r-cran-geojson, r-cran-geojsonsf
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-rgdal, r-cran-rgeos, r-cran-knitr, r-cran-rmapshaper
Filename: pool/dists/focal/main/r-cran-mregions_0.1.8-1.ca2004.1_all.deb
Size: 2646416
MD5sum: 8a79ee0d1ad562162c605bb458aa04d3
SHA1: 452abfd76dd9e3b56149f6ed449bf7c9fee178ea
SHA256: 743a84342168003cbab71ffedc095079efd10b318cf0767c62bdad1eb07d366d
SHA512: 4218eba4ce59abf045d2a21640bbf653676ef3dd11ea7183627247cc9506214b359f41cb001d10dc3500d7e5cecf88a78f9a445ef659714408ad43301430025d
Homepage: https://cran.r-project.org/package=mregions
Description: CRAN Package 'mregions' (Marine Regions Data from 'Marineregions.org')
 Tools to get marine regions data from <https://www.marineregions.org/>.
 Includes tools to get region metadata, as well as data in 'GeoJSON' format,
 as well as Shape files. Use cases include using data downstream to visualize
 'geospatial' data by marine region, mapping variation among different
 regions, and more.

Package: r-cran-mrf
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-limsolve, r-cran-deoptim, r-cran-forecast, r-cran-monmlp, r-cran-nnfor
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrf_0.1.6-1.ca2004.1_all.deb
Size: 160784
MD5sum: d290bc91029f519e9b74bbe93817e5da
SHA1: 75e64b3d8be3123cb41e4e2ac924f828dda660a2
SHA256: e7a77e0751fbca4763341fac7b299f729aedfa0ef2fcd25d4bab265bfb2771ed
SHA512: 0f8f248283bbca499a9aaf3108bc86a115129444e04d2ff9097f81488ec37819437299d7fd4ff1d14aa30511cd5be063210b8ed756f527ee9949e62579ecdc0e
Homepage: https://cran.r-project.org/package=mrf
Description: CRAN Package 'mrf' (Multiresolution Forecasting)
 Forecasting of univariate time series using feature extraction with variable
 prediction methods is provided. Feature extraction is done with a redundant
 Haar wavelet transform with filter h = (0.5, 0.5). The advantage of the
 approach compared to typical Fourier based methods is an dynamic adaptation
 to varying seasonalities. Currently implemented prediction methods based on
 the selected wavelets levels and scales are a regression and a multi-layer
 perceptron. Forecasts can be computed for horizon 1 or higher. Model
 selection is performed with an evolutionary optimization. Selection criteria
 are currently the AIC criterion, the Mean Absolute Error or the Mean Root
 Error. The data is split into three parts for model selection: Training,
 test, and evaluation dataset. The training data is for computing the weights
 of a parameter set. The test data is for choosing the best parameter set.
 The evaluation data is for assessing the forecast performance of the best
 parameter set on new data unknown to the model. This work is published in
 Stier, Q.; Gehlert, T.; Thrun, M.C. Multiresolution Forecasting for
 Industrial Applications. Processes 2021, 9, 1697. <doi:10.3390/pr9101697>.

Package: r-cran-mrfa
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fields, r-cran-glmnet, r-cran-grplasso, r-cran-plyr, r-cran-randtoolbox, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-mrfa_0.6-1.ca2004.1_all.deb
Size: 132460
MD5sum: 2c6480167f1bddc4ba2bf2141a6bdbc7
SHA1: 75e94608beed7d33a19c844022018135b0465ad3
SHA256: 28d28e0a5f1494e24dee2e9d47712aefb4e06aafede75e88fb9017349d8edb97
SHA512: abcc0025249c4ec1efda3876c867eaf47a0e7c3a2cd66ecdbc8216bf4052efeac6010e772c7f27aba08e0147b02c768fc566d8793ae40e9dd0ea1aa74201515c
Homepage: https://cran.r-project.org/package=MRFA
Description: CRAN Package 'MRFA' (Fitting and Predicting Large-Scale Nonlinear Regression Problemsusing Multi-Resolution Functional ANOVA (MRFA) Approach)
 Performs the MRFA approach proposed by Sung et al. (2020)
 <doi:10.1080/01621459.2019.1595630> to fit and predict nonlinear regression
 problems, particularly for large-scale and high-dimensional problems. The
 application includes deterministic or stochastic computer experiments,
 spatial datasets, and so on.

Package: r-cran-mrfcov
Architecture: all
Version: 1.0.39-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1167
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-purrr, r-cran-plyr, r-cran-ggplot2, r-cran-dplyr, r-cran-caret, r-cran-gridextra, r-cran-magrittr, r-cran-matrix, r-cran-reshape2, r-cran-sfsmisc, r-cran-igraph, r-cran-pbapply, r-cran-mgcv, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrfcov_1.0.39-1.ca2004.1_all.deb
Size: 527236
MD5sum: 94cc11b8375beed3ee62e6b9b438f064
SHA1: b55ea460ba510b1cb84d7da5c9d2676ab5527280
SHA256: 9559e0e44a6b92aa07a1c443a4532f30b4258f80c927f4e5ae24b6b5a00e12d7
SHA512: c39779b46c4ea94e37371737d40e9dd48dbf301925ea4630be16f708b5dcf42a02c0994355b852fbc472a89846713dc69650fc1592d6f34a8d5f51cedb2160db
Homepage: https://cran.r-project.org/package=MRFcov
Description: CRAN Package 'MRFcov' (Markov Random Fields with Additional Covariates)
 Approximate node interaction parameters of Markov Random Fields graphical
 networks. Models can incorporate additional covariates, allowing users to
 estimate how interactions between nodes in the graph are predicted to change
 across covariate gradients. The general methods implemented in this package
 are described in Clark et al. (2018) <doi:10.1002/ecy.2221>.

Package: r-cran-mrg
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1886
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-terra, r-cran-sf, r-cran-stars, r-cran-plyr, r-cran-dplyr, r-cran-rlang, r-cran-sjmisc, r-cran-vardpoor, r-cran-purrr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-ggplot2, r-cran-patchwork, r-cran-viridis, r-cran-knitr, r-cran-rmarkdown, r-cran-giscor, r-cran-bookdown, r-cran-units, r-cran-ggforce, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-mrg_0.3.1-1.ca2004.1_all.deb
Size: 1112528
MD5sum: ab38110ee7abed21fff1eaa2579bd8fd
SHA1: 92e7c629946f3273765ab17c190e006f60fed185
SHA256: bc814e981bf01637511c95ec514a98c9be45cce6af61667c3b2aee2177860306
SHA512: 55f2d72866842093640e428ad9c2db5ad969fac883f05bf91b6bc22645d55823ae16f88f2fdc778e6b3d935d298cf73b9d5c05132412eeff506a7eada82a0330
Homepage: https://cran.r-project.org/package=MRG
Description: CRAN Package 'MRG' (Create Non-Confidential Multi-Resolution Grids)
 Functionality for creating gridded data, respecting the confidentiality
 rules, such as a minimum number of units and dominance by one or more units
 in the grid cell.  The functions also include the possibility for contextual
 suppression of data.

Package: r-cran-mrgdp
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-vroom
Filename: pool/dists/focal/main/r-cran-mrgdp_0.3.2-1.ca2004.1_all.deb
Size: 28760
MD5sum: c7e1d84c1487f004b35205b8d5f0aa0b
SHA1: c56a8268f70297aa4fa5f55c0e4c25374dc1fe71
SHA256: 44f81c4d25d88fe0dbf699b6c34dc65f5fb7dc74bc5b9fea8dc0eff29731cc32
SHA512: 4d6f70637d226a9d0ea0ad0e410dc8416242363e2568621dbc69dec767d70b28d069d9eefc1210d49456f789c52652bb515660def13038fea01764aaf1e141a1
Homepage: https://cran.r-project.org/package=mrgdp
Description: CRAN Package 'mrgdp' (Mexican Regional Gross Domestic Product)
 Download Mexican economic census for several years (2004, 2009, 2014 and
 2019) and all federal entities. Filter the census data table by municipal
 data and build a data.frame for all federal entities and several years.

Package: r-cran-mrgsim.parallel
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mrgsolve, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-callr, r-cran-fst
Suggests: r-cran-testthat, r-cran-arrow, r-cran-qs, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrgsim.parallel_0.2.1-1.ca2004.1_all.deb
Size: 426764
MD5sum: 7047b6e5252a74a18dfdabd1d1fdf691
SHA1: e9140d4d46c9cfaa38957996ecd6d16671e2f075
SHA256: af9da7b1cbe093b4b8b49f9835e8de2f9c5d761b6ac6d1f6964430e0b16c6fbe
SHA512: 7fb97a12cd522cdde619b0bc6deba0af4cf6cd1bdd7cf6768ff38dea206b39a3064d4d54dcf2a7e8bf6a572ac70b739d5c476dfa8315cefd26f3d0ae0efd3bf0
Homepage: https://cran.r-project.org/package=mrgsim.parallel
Description: CRAN Package 'mrgsim.parallel' (Simulate with 'mrgsolve' in Parallel)
 Simulation from an 'mrgsolve' <https://cran.r-project.org/package=mrgsolve>
 model using a parallel backend.  Input data sets are split (chunked) and
 simulated in parallel using mclapply() or future_lapply()
 <https://cran.r-project.org/package=future.apply>.

Package: r-cran-mrgsim.sa
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mrgsolve, r-cran-withr, r-cran-purrr, r-cran-dplyr, r-cran-assertthat, r-cran-rlang, r-cran-ggplot2, r-cran-tidyselect, r-cran-tidyr, r-cran-tibble, r-cran-patchwork, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrgsim.sa_0.2.0-1.ca2004.1_all.deb
Size: 1743016
MD5sum: 371ae3e66f0135a842c983e8db42a882
SHA1: d45458032dde5c601eb94367c1ee4e6af6e4a697
SHA256: 86c68fa6f526a6baa90c23e679623eae04be0985bc847e8be1a8e99bff605a17
SHA512: dd7e7c99a141fb4cc930bcd9723cf819579d840174442f7257a78bb60821d26364069d2a7001258832f906020afd15a4a493b0118a71ea606d38023e83b7cd7f
Homepage: https://cran.r-project.org/package=mrgsim.sa
Description: CRAN Package 'mrgsim.sa' (Sensitivity Analysis with 'mrgsolve')
 Perform sensitivity analysis on ordinary differential equation based models,
 including ad-hoc graphical analyses based on structured sequences of
 parameters as well as local sensitivity analysis. Functions are provided for
 creating inputs, simulating scenarios and plotting outputs.

Package: r-cran-mrhawkes
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ihsep
Filename: pool/dists/focal/main/r-cran-mrhawkes_1.0-1.ca2004.1_all.deb
Size: 218828
MD5sum: 62fec32156d8c598d0bda842387da644
SHA1: 6198efc75c137df71ba05a081cd9ff133614079c
SHA256: 9e097788bc0712a80f53d42761d700d6d644b0edf303731ead0adb2663557389
SHA512: 98af7f93f0fa80360ceb867ce998fb7e80c3677860dd8f8fbe49406fc0cd9fcc2fd22edd1b698b419498faedb1c9ea4501b9153c88257ec2b7cc6c7b26005178
Homepage: https://cran.r-project.org/package=MRHawkes
Description: CRAN Package 'MRHawkes' (Multivariate Renewal Hawkes Process)
 Simulate a (bivariate) multivariate renewal Hawkes (MRHawkes) self-exciting
 process, with given immigrant hazard rate functions and offspring density
 function. Calculate the likelihood of a MRHawkes process with given hazard
 rate functions and offspring density function for an (increasing) sequence
 of event times. Calculate the Rosenblatt residuals of the event times.
 Predict future event times based on observed event times up to a given time.
 For details see Stindl and Chen (2018) <doi:10.1016/j.csda.2018.01.021>.

Package: r-cran-mri
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mri_1.0.1-1.ca2004.1_all.deb
Size: 24720
MD5sum: a3a56b16ea014359325562df4b89a9be
SHA1: 6edbb5c1a2dd24b1a0bc3d5d4dff7dfe139161b0
SHA256: cf4a50f271b0953618811e264e4761cd20c136240b170b4eacba7a5a1fdb20e2
SHA512: 9b9906c8a5fe26bb325ef8f2dad6b60d281c2f89524055afc2b2f05ae9b22ee39a379ab5b4b37ded67c137c4494bd7983f50bc502503fc63ee434f98870ebdb4
Homepage: https://cran.r-project.org/package=mri
Description: CRAN Package 'mri' (Modified Rand and Wallace Indices)
 It provides functions to compute the values of different modifications of
 the Rand and Wallace indices. The indices are used to measure the stability
 or similarity of two partitions obtained on two different sets of units with
 a non-empty intercept. Splitting and merging of clusters can (depends on the
 selected index) have a different effect on the value of the indices.  The
 indices are proposed in Cugmas and Ferligoj (2018)
 <http://ibmi.mf.uni-lj.si/mz/2018/no-1/Cugmas2018.pdf>.

Package: r-cran-mrmcaov
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-mvtnorm, r-cran-progress, r-cran-tibble, r-cran-trust
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mrmcaov_0.3.0-1.ca2004.1_all.deb
Size: 361660
MD5sum: d2ad72b6314d6a6a032d340c7afa1c99
SHA1: 930db1839aca2001c358863020cd755197ac7ff3
SHA256: 6ee639e0e2226315607b8333621ab0931c82ae0e297307bdee3ffd20e1e33233
SHA512: 53413beb7448e0d9c06707a10f1960ec6387012725638429550417d41f808602b63596b05c074fab78e9bb0db71ca10608cc00296a5de619ad44138671a71bfd
Homepage: https://cran.r-project.org/package=MRMCaov
Description: CRAN Package 'MRMCaov' (Multi-Reader Multi-Case Analysis of Variance)
 Estimation and comparison of the performances of diagnostic tests in
 multi-reader multi-case studies where true case statuses (or ground truths)
 are known and one or more readers provide test ratings for multiple cases.
 Reader performance metrics are provided for area under and expected utility
 of ROC curves, likelihood ratio of positive or negative tests, and
 sensitivity and specificity.  ROC curves can be estimated empirically or
 with binormal or binormal likelihood-ratio models.  Statistical comparisons
 of diagnostic tests are based on the ANOVA model of Obuchowski-Rockette and
 the unified framework of Hillis (2005) <doi:10.1002/sim.2024>.  The ANOVA
 can be conducted with data from a full factorial, nested, or partially
 paired study design; with random or fixed readers or cases; and covariances
 estimated with the DeLong method, jackknifing, or an unbiased method.  Smith
 and Hillis (2020) <doi:10.1117/12.2549075>.

Package: r-cran-mrmcbinary
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-survival
Filename: pool/dists/focal/main/r-cran-mrmcbinary_1.0.5-1.ca2004.1_all.deb
Size: 101672
MD5sum: 5bd3b7dbc23ccd40702a97df4611d741
SHA1: f8593122d7b14730f8c90edbb69e9cafb73e20c0
SHA256: 68cc972bdad17a6a3c75f69345046cacb00927f3e39d14f41c258e246596ae00
SHA512: 7f155d880cab7050d7430e10ea72b9a48401e6e59c82623bf483ae47fa607b96c85f030e899f34467c14fe480c92f60820d56d76bb977b3afda106b1953bb36e
Homepage: https://cran.r-project.org/package=MRMCbinary
Description: CRAN Package 'MRMCbinary' (Multi-Reader Multi-Case Analysis of Binary Diagnostic Tests)
 The goal of 'MRMCbinary' is to compare the performance of diagnostic tests
 (i.e., sensitivity and specificity) for binary outcomes in multi-reader
 multi-case (MRMC) studies. It is based on conditional logistic regression
 and Cochran’s Q test (or McNemar’s test when the number of modalities is
 equal to 2).

Package: r-cran-mrmcsamplesize
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fpow
Filename: pool/dists/focal/main/r-cran-mrmcsamplesize_1.0.0-1.ca2004.1_all.deb
Size: 32024
MD5sum: 3f7e61baf9d3184278c88c45af66437a
SHA1: b6cf39c9b9cc2700cead500d5f3820c4b70b18a4
SHA256: b5b438dea3b68459d452f5925bb2519370110840c5bae0e8a77b01675e04e875
SHA512: 63fff942ee7c9360434b21e592f2d8b4a84f2522e8e93d881139d1d2b79593b4b5f4c2837fad90fff3b550c38cab1e38cfff791a891e12fcd59861d504175f8e
Homepage: https://cran.r-project.org/package=MRMCsamplesize
Description: CRAN Package 'MRMCsamplesize' (Sample Size Estimations for Planning Multi-Reader Multi-Case(MRMC) Studies Without Pilot Data)
 Sample size estimations for MRMC studies based on the Obuchowski-Rockette
 (OR) methodology is implemented. The function can calculate sample sizes
 where the endpoint of interest in the study is either ROC AUC
 (Area-Under-the-Receiver-Operating-Characteristics-Curve) or sensitivity.
 The package can also return sample sizes for studies expected to have
 clustering effect (e.g.- multiple pulmonary nodules per patient). All
 calculations assume that the study design is fully crossed (paired-reader,
 paired-case) where each reader reads/interprets each case and that there are
 two interventions/imaging-modalities/techniques in the study. In addition to
 MRMC, it can also be used to estimate sample sizes for standalone studies
 where sensitivity or AUC are the primary endpoints.  The methods implemented
 are based on the methods described in Zhou et.al. (2011)
 <doi:10.1002/9780470906514> and Obuchowski (2000)
 <doi:10.1097/EDE.0b013e3181a663cc>.

Package: r-cran-mrmediation
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mrmediation_1.0.1-1.ca2004.1_all.deb
Size: 63848
MD5sum: e52902904b5f9adfc4e60e25fe36c6db
SHA1: 47185cd2ce315ed1b6ff6c8b929927c7fd8836f5
SHA256: bfc45ceed30e855484cab6d9782a4c0fea913be1966f034a5af84e672a5d2a03
SHA512: d7ce3a88fc1afc3a943ded7f8a99f09cd628d7df1728841fd1630fec48e755dad537f97120dfcc351609a06b0c52e9c20bfc403ae33a9b9efe36dadbd1892c09
Homepage: https://cran.r-project.org/package=MRmediation
Description: CRAN Package 'MRmediation' (A Causal Mediation Method with Methylated Region (MR) as theMediator)
 A causal mediation approach under the counterfactual framework to test the
 significance of total, direct and indirect effects. In this approach, a
 group of methylated sites from a predefined region are utilized as the
 mediator, and the functional transformation is used to reduce the possible
 high dimension in the region-based methylated sites and account for their
 location information.

Package: r-cran-mro
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-mro_0.1.1-1.ca2004.1_all.deb
Size: 12876
MD5sum: 040dc47419e3012800da0cb29ffda82d
SHA1: 64dbdf13c8812353ddb51eadbdfef50f1ebdd5a7
SHA256: 2c928092fb35263bcd04baf5af39130626ca11077e01b3aaf583a79c449560c1
SHA512: 60beead3ce47b058426eb3695f0b7d0ebe24479443d699b911e35b3c66be8f451054d94caf72c5760e66fdb07f0bbada5d6ddb156ddde8209dd68b7f5df5fccc
Homepage: https://cran.r-project.org/package=mro
Description: CRAN Package 'mro' (Multiple Correlation)
 Computes multiple correlation coefficient when the data matrix is given and
 tests its significance.

Package: r-cran-mrpc
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1952
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-compositions, r-cran-dynamictreecut, r-cran-ggally, r-cran-fastcluster, r-cran-gtools, r-bioc-graph, r-cran-hmisc, r-cran-mice, r-cran-network, r-cran-pcalg, r-cran-psych, r-bioc-rgraphviz, r-cran-sna, r-cran-wgcna, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-mrpc_3.1.0-1.ca2004.1_all.deb
Size: 1853344
MD5sum: 9c3165a703ad251b25a70f77ff1ef7a1
SHA1: 634f7bc7bedb5c3de8a0278b9985458858ce83ff
SHA256: 15e744681715d2cf4f53e0d55fa5c555cb3bb7275672361c0b87797a51caf334
SHA512: 9a6ebbf0ad93ccb5335b4b4643a38e5601dd3f7c901f5cb8fb762aef71ad3cf285699b9b082c1bd508272e24058227d0ff87311588b5dc01f66da0bcc4dc03c0
Homepage: https://cran.r-project.org/package=MRPC
Description: CRAN Package 'MRPC' (PC Algorithm with the Principle of Mendelian Randomization)
 A PC Algorithm with the Principle of Mendelian Randomization. This package
 implements the MRPC (PC with the principle of Mendelian randomization)
 algorithm to infer causal graphs. It also contains functions to simulate
 data under a certain topology, to visualize a graph in different ways, and
 to compare graphs and quantify the differences.  See Badsha and Fu (2019)
 <doi:10.3389/fgene.2019.00460>,Badsha, Martin and Fu (2021)
 <doi:10.3389/fgene.2021.651812>.

Package: r-cran-mrpostman
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-r6, r-cran-stringr, r-cran-stringi, r-cran-magrittr, r-cran-assertthat, r-cran-base64enc, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrpostman_1.1.4-1.ca2004.1_all.deb
Size: 1271928
MD5sum: 526b3aed12505f629b29aaceab01ee4d
SHA1: 1df0ce6bd50d6b43ca95ed55cb196c7841cf551f
SHA256: 507e0295a00a4fb838f85a76ed3ae920f118be086cfa45f98853469f2c49bd43
SHA512: 79498df4c4e75ffc8ed9319ab070b039196741bc15c0a7d9b9e74ce9948e8b1bc99a2b5e91f23732ea2d6e4fc50082f7673ebcdfb04d519079ccc66cdb636b8b
Homepage: https://cran.r-project.org/package=mRpostman
Description: CRAN Package 'mRpostman' (An IMAP Client for R)
 An easy-to-use IMAP client that provides tools for message searching,
 selective fetching of message attributes, mailbox management, attachment
 extraction, and several other IMAP features, paving the way for e-mail data
 analysis in R.

Package: r-cran-mrqol
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mrqol_1.0.1-1.ca2004.1_all.deb
Size: 34956
MD5sum: 5acb5211006e52113e03cd08860c6910
SHA1: c3ac664a1b4c0aa0fd2a694d2d9bb31ef7289d04
SHA256: 1a97125ab14f26d537d36faf0efd6a61dd6d54cea631b8c40a9bf129ab2779df
SHA512: f0a2b377080b194a9b282034f6f4b015c0c99dfe2a8d10a6bda3f0b0a193a377270872f645d3ba726e4cae0d095aea39fd3cedbf032a8a53423875a73a5c22f5
Homepage: https://cran.r-project.org/package=MRQoL
Description: CRAN Package 'MRQoL' (Minimal Clinically Important Difference and Response ShiftEffect for Health-Related Quality of Life)
 To calculate the Minimal Clinically Important Difference by applying the
 Anchor-based method and the Response shift effect by applying the Then-Test
 method.

Package: r-cran-mrreg
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-caret, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-mrreg_0.1.6-1.ca2004.1_all.deb
Size: 116388
MD5sum: 39d65a65b0abfb0f8f43587bed655e2e
SHA1: 779e62ed3488e081245c029d7e8146f5d372f098
SHA256: 79d9dbdb23258ce1234fa1eaecb2cffe5ae429dd30a28ff5b98bcb38a2fbde72
SHA512: a79d24496c14b32f7f88da4d0ac12aba48e5d6895240ac7d38266242a87fb7a0478e07a6e3426584919a647536bb9735d6aec2a43f7ff2b0a74b2fee08d009ff
Homepage: https://cran.r-project.org/package=MRReg
Description: CRAN Package 'MRReg' (MDL Multiresolution Linear Regression Framework)
 We provide the framework to analyze multiresolution partitions (e.g.
 country, provinces, subdistrict) where each individual data point belongs to
 only one partition in each layer (e.g. i belongs to subdistrict A, province
 P, and country Q).  We assume that a partition in a higher layer subsumes
 lower-layer partitions (e.g. a nation is at the 1st layer subsumes all
 provinces at the 2nd layer). Given N individuals that have a pair of real
 values (x,y) that generated from independent variable X and dependent
 variable Y. Each individual i belongs to one partition per layer. Our goal
 is to find which partitions at which highest level that all individuals in
 the these partitions share the same linear model Y=f(X) where f is a linear
 function. The framework deploys the Minimum Description Length principle
 (MDL) to infer solutions. The publication of this package is at Chainarong
 Amornbunchornvej, Navaporn Surasvadi, Anon Plangprasopchok, and Suttipong
 Thajchayapong (2021) <doi:10.1145/3424670>.

Package: r-cran-mrregression
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mrregression_1.0.0-1.ca2004.1_all.deb
Size: 239596
MD5sum: e7f20abc7d4ccbe3a821ca0eb283d8fd
SHA1: 47bf47b4431f4c2925d096bea377e76a48fa5cd4
SHA256: e3df3752db1f71e8af60d0c319848a172c8c71d369d0a67b6f1f3e34c3c3eca0
SHA512: 6f95d6e44614afb494fa62f40f131266d1248e7328b9fbedc6a7c25de84502b44352f1959e347e7c4ec972747c204e3d7329c8a82e8bd01d5483e3c3a534f43a
Homepage: https://cran.r-project.org/package=mrregression
Description: CRAN Package 'mrregression' (Regression Analysis for Very Large Data Sets via Merge andReduce)
 Frequentist and Bayesian linear regression for large data sets. Useful when
 the data does not fit into memory (for both frequentist and Bayesian
 regression), to make running time manageable (mainly for Bayesian
 regression), and to reduce the total running time because of reduced or less
 severe memory-spillover into the virtual memory. This is an implementation
 of Merge & Reduce for linear regression as described in Geppert, L.N.,
 Ickstadt, K., Munteanu, A., & Sohler, C. (2020).  'Streaming statistical
 models via Merge & Reduce'. International Journal of Data Science and
 Analytics, 1-17, <doi:10.1007/s41060-020-00226-0>.

Package: r-cran-mrsurv
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mrsurv_0.2-1.ca2004.1_all.deb
Size: 36700
MD5sum: 44a3c05254ded4c50e809e1a57e07f23
SHA1: 19a015e0f3e275ff90ebfa797c27ba7e6ab195e5
SHA256: 57eddad6c8c80e21f6bd420fa8f8e620b0ad4e6ed83fcfb050f55d724406858e
SHA512: 29d45054a5854d7a7ab98c544fc57d6a6619771348bbfb4b1676d963834097859206a22136e47fc8eea00a2784bfda58d21fa6f1dc347582f2a10133350d1ce4
Homepage: https://cran.r-project.org/package=MRsurv
Description: CRAN Package 'MRsurv' (A multiplicative-regression model for relative survival)
 This package contains functions, data and examples to compute a
 multiplicative-regression model for relative survival.

Package: r-cran-mrtanalysis
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rootsolve, r-cran-geepack, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mrtanalysis_0.1.2-1.ca2004.1_all.deb
Size: 282292
MD5sum: 15892776a556f1e9e0dc73c7b65c8b72
SHA1: 4302819c25d68863d9d50b97cf5c8eb7920e34ec
SHA256: 620d0a9dad088c3cdbb80e1d425c105cfadf283ef622b47b4547d8e5253ac5f4
SHA512: c51a6048d76094dd212eee1f51c52ccd1145078e964bae1488bda2c18fb57be7a8a230a9d3dbdb70e345cf2b7f6029a6a7affe385d02bc03985906e5eff287d3
Homepage: https://cran.r-project.org/package=MRTAnalysis
Description: CRAN Package 'MRTAnalysis' (Primary and Secondary Analyses for Micro-Randomized Trials)
 Estimates marginal causal excursion effects and moderated causal excursion
 effects for micro-randomized trial (MRT). Applicable to MRT with binary
 treatment options and continuous or binary outcomes. The method for MRT with
 continuous outcomes is the weighted centered least squares (WCLS) by Boruvka
 et al. (2018) <doi:10.1080/01621459.2017.1305274>. The method for MRT with
 binary outcomes is the estimator for marginal excursion effect (EMEE) by
 Qian et al. (2021) <doi:10.1093/biomet/asaa070>.

Package: r-cran-mrtsamplesize
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mrtsamplesize_0.3.0-1.ca2004.1_all.deb
Size: 45872
MD5sum: 8d14655cd2df3694d80610367e8bb41e
SHA1: 6c309b6d04a883eac6e4ea033c1633488cb22564
SHA256: 969478d3f584f7eaecfb8a8622579e55edc1efc323f1449b78f7e40a57e2ffdc
SHA512: 5ba69fb4b063f831dcf65d9fd74960b1cb8f7d25c9c8ed01867670c9fca0cd32e6b270e2861ff8f4a5a7ea84101d042aecee95cd67452390ed6d7ba818d89aff
Homepage: https://cran.r-project.org/package=MRTSampleSize
Description: CRAN Package 'MRTSampleSize' (A Sample Size Calculator for Micro-Randomized Trials)
 Provide a sample size calculator for micro-randomized trials (MRTs) based on
 methodology developed in Sample Size Calculations for Micro-randomized
 Trials in mHealth by Liao et al. (2016) <DOI:10.1002/sim.6847>.

Package: r-cran-mrtsamplesizebinary
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mrtsamplesizebinary_0.1.2-1.ca2004.1_all.deb
Size: 86808
MD5sum: a119240943d4867dd2318a9d0fb077f4
SHA1: a36b6f906a8ee9341831b8c8872065f833fe29c7
SHA256: 98b383cd36c295adfbb1fd55fca536bf39f6cee94bbad50b1dc5c3456cac09b5
SHA512: 2471fd9ef158449e4ab5760aff7f880d37736b9dbbdf9a76e4029b0399701dbb0a23b836794ceb98dd4641046e1f66a95eb30cc4e4e42ed58a6f45655f4edb80
Homepage: https://cran.r-project.org/package=MRTSampleSizeBinary
Description: CRAN Package 'MRTSampleSizeBinary' (Sample Size Calculator for MRT with Binary Outcomes)
 Provides a sample size calculator for micro-randomized trials (MRTs) with
 binary outcomes based on Cohn et al. (2023) <doi:10.1002/sim.9748>. Also
 provides a power calculator when the sample size is input by the user.

Package: r-cran-mrzero
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-rmarkdown, r-cran-plotly, r-cran-ggplot2, r-cran-robustbase, r-cran-quantreg, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-mrzero_0.2.0-1.ca2004.1_all.deb
Size: 681304
MD5sum: af512e0890c168feaa538f402d2d7ccc
SHA1: adbb0e4e5ec39cf18098b000bbdd60b9dcc5ffd6
SHA256: c246a65eb0c90df5df1fc1563d585a566d154359d97432a3c2dff04a17a71e70
SHA512: 1360d1cd8dcd900bb4226c873df8420b0956bd34cbfc05e1f0dbee156531b83bca31e0b46fa82ec34fcb993d04b5273f3e854950870564a7ee2789a4eed9a7cf
Homepage: https://cran.r-project.org/package=MRZero
Description: CRAN Package 'MRZero' (Diet Mendelian Randomization)
 Encodes several methods for performing Mendelian randomization analyses with
 summarized data. Similar to the 'MendelianRandomization' package, but with
 fewer bells and whistles, and less frequent updates. As described in
 Yavorska (2017) <doi:10.1093/ije/dyx034> and Broadbent (2020)
 <doi:10.12688/wellcomeopenres.16374.2>.

Package: r-cran-ms.sev
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ms.sev_1.0.4-1.ca2004.1_all.deb
Size: 44972
MD5sum: 27b99db3f314485e759e0a5921c58b05
SHA1: 178d9f4357ea6d2722b0a4e987834c8265f7791f
SHA256: 33cbbcc51e29ff1b6a8575bfc38aad95e6947e305c7c73131f08dcc0ccc831f7
SHA512: 278f4eb55eac55289d619da9380f8731db91eb1f62246f3ab7baee63ef6613e04f8cdc26abfae42bd6a9162911f9891e4ef035879412dff589064d70da3edb91
Homepage: https://cran.r-project.org/package=ms.sev
Description: CRAN Package 'ms.sev' (Package for Calculation of ARMSS, Local MSSS and Global MSSS)
 Calculates ARMSS (age related multiple sclerosis severity), and both local
 and global MSSS (multiple sclerosis severity score).

Package: r-cran-msae
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magic
Filename: pool/dists/focal/main/r-cran-msae_0.1.5-1.ca2004.1_all.deb
Size: 102636
MD5sum: d0db08753f97b1f13e775503f2cc3c99
SHA1: 7de3e9a6a5eb32e907e0eda9db69feba7de4db55
SHA256: 18f009fd7572f819417f2b0720a9114250264101c07a3fb6753ba9148eb8c4b1
SHA512: 20ff49e55265f19944ac3a184a30bd8bb649ba8c4251289cb9a327df941c89bddead026dae6409619830b361282f54b715e250bdd9ed1c098241ac30a93ca3d0
Homepage: https://cran.r-project.org/package=msae
Description: CRAN Package 'msae' (Multivariate Fay Herriot Models for Small Area Estimation)
 Implements multivariate Fay-Herriot models for small area estimation. It
 uses empirical best linear unbiased prediction (EBLUP) estimator.
 Multivariate models consider the correlation of several target variables and
 borrow strength from auxiliary variables to improve the effectiveness of a
 domain sample size. Models which accommodated by this package are univariate
 model with several target variables (model 0), multivariate model (model 1),
 autoregressive multivariate model (model 2), and heteroscedastic
 autoregressive multivariate model (model 3). Functions provide EBLUP
 estimators and mean squared error (MSE) estimator for each model. These
 models were developed by Roberto Benavent and Domingo Morales (2015)
 <doi:10.1016/j.csda.2015.07.013>.

Package: r-cran-msaedb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-magic
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-msaedb_0.2.1-1.ca2004.1_all.deb
Size: 229480
MD5sum: c45ea58ef10ad4980f8c877bfe5c80cc
SHA1: 6962c5afc6085308d715d300f6aed6da05ab7ee0
SHA256: 6c06d0b82b1a3b8c9f2f01d2b31eba08027d1e8fe6a1f2308ac9068f4944900a
SHA512: e0710d09261f227ca7386971b72bac9278a077da08ff1a7f11b905822b9b8bebc5993956637eae7030e2e43794c12d0fe739f74203885ba675751c03b0e5d589
Homepage: https://cran.r-project.org/package=msaeDB
Description: CRAN Package 'msaeDB' (Difference Benchmarking for Multivariate Small Area Estimation)
 Implements Benchmarking Method for Multivariate Small Area Estimation under
 Fay Herriot Model. Multivariate Small Area Estimation (MSAE) is a
 development of Univariate Small Area Estimation that considering the
 correlation among response variables and borrowing the strength from related
 areas and auxiliary variables to increase the effectiveness of sample size,
 the multivariate model in this package is based on multivariate model 1
 proposed by Roberto Benavent and Domingo Morales (2016)
 <doi:10.1016/j.csda.2015.07.013>. Benchmarking in Small Area Estimation is a
 modification of Small Area Estimation model to guarantee that the aggregate
 weighted mean of the county predictors equals the corresponding weighted
 mean of survey estimates. Difference Benchmarking is the simplest
 benchmarking method but widely used by multiplying empirical best linear
 unbiased prediction (EBLUP) estimator by the common adjustment factors
 (J.N.K Rao and Isabel Molina, 2015).

Package: r-cran-msaehb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-msaehb_0.1.0-1.ca2004.1_all.deb
Size: 45580
MD5sum: 399dc6b5b4c6e1e4cf8c2ac9686503d5
SHA1: 989151ed759d7c6da445580697feb8f471205e2f
SHA256: fc199a5703d058257f28c8dc9ed70120628077d57df31ae194fb9b4e89cae95b
SHA512: f03a1858df52a68886f851a2fcb5d7da2649da25c6d3c43388905313fc4c7d33e3c39b402f93a2c90a36476f9e43e453e8df2bcfa96a9e4a8c92ad2193d038e2
Homepage: https://cran.r-project.org/package=msaeHB
Description: CRAN Package 'msaeHB' (Multivariate Small Area Estimation using Hierarchical BayesianMethod)
 Implements area level of multivariate small area estimation using
 Hierarchical Bayesian method under Normal and T distribution. The 'rjags'
 package is employed to obtain parameter estimates. For the reference, see
 Rao and Molina (2015) <doi:10.1002/9781118735855>.

Package: r-cran-msaenet
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1404
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-foreach, r-cran-glmnet, r-cran-mvtnorm, r-cran-ncvreg, r-cran-survival
Suggests: r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-msaenet_3.1.2-1.ca2004.1_all.deb
Size: 773384
MD5sum: 5cb91080e980d38690cdd01237b8563e
SHA1: c721d9c040b31a795e7237e111accc1ffce52f0b
SHA256: 8243fe276e79bf3265a797e170d55f280e4e82ba167dbe7bbf37ca30b08eb4af
SHA512: b33a6bdf983c3fe210262d41daf6d7002ad45d416e5c27d03e5c833d2bba9302fe340852553b1eb7b8e83e3e1236ef6d8641794799c555f62ed165a3db834834
Homepage: https://cran.r-project.org/package=msaenet
Description: CRAN Package 'msaenet' (Multi-Step Adaptive Estimation Methods for Sparse Regressions)
 Multi-step adaptive elastic-net (MSAENet) algorithm for feature selection in
 high-dimensional regressions proposed in Xiao and Xu (2015)
 <DOI:10.1080/00949655.2015.1016944>, with support for multi-step adaptive
 MCP-net (MSAMNet) and multi-step adaptive SCAD-net (MSASNet) methods.

Package: r-cran-msaeob
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magic, r-cran-abind, r-cran-matrix, r-cran-mass
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msaeob_0.1.0-1.ca2004.1_all.deb
Size: 227364
MD5sum: d21a4e6e069168ecf0176348273570f9
SHA1: 79392a3c85ef068a539d0274eeaa561deb5e154e
SHA256: 7f93ec31a8b5b1e042597af8a8a0ca02cd5fb4d33bfdfb7023593266ec36ed23
SHA512: 4c5d8f2bb67d1d2704b8c4f8c843f993ba0ad9e37f5342af69fdb3f9a89acd6bf2b9a596b59ac63d8f014c923009b0a097de96ecf82a930bca49491941c337bd
Homepage: https://cran.r-project.org/package=msaeOB
Description: CRAN Package 'msaeOB' (Optimum Benchmarking for Multivariate Small Area Estimation)
 Implements multivariate optimum benchmarking small area estimation. This
 package provides optimum benchmarking estimation for univariate and
 multivariate small area estimation and its MSE. In fact, MSE estimators for
 optimum benchmark are not readily available, so resampling method that
 called parametric bootstrap is applied. The optimum benchmark model and
 parametric bootstrap in this package are based on the model proposed in
 small area estimation. J.N.K Rao and Isabel Molina (2015, ISBN:
 978-1-118-73578-7).

Package: r-cran-msaerb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magic, r-cran-abind, r-cran-matrix, r-cran-mass
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-msaerb_0.2.1-1.ca2004.1_all.deb
Size: 210800
MD5sum: a519e80d1bdb45690f34701de9a40baa
SHA1: dd631d258e4cefec086179f27c5892425971f707
SHA256: cebc593e3c213b2f2a0bab112f25ba5c7539ccf7924f30ef930f1b7afd0aa998
SHA512: 77dc667ff3b23ecdbb915764abd8580413975ad099978486375803ce9200f18322b5c2a01f6e9ba58bd25f5e7f0e7a0e79afa6add6524b8ba4c796ebf126360e
Homepage: https://cran.r-project.org/package=msaeRB
Description: CRAN Package 'msaeRB' (Ratio Benchmarking for Multivariate Small Area Estimation)
 Implements multivariate ratio benchmarking small area estimation. This
 package provides ratio benchmarking estimation for univariate and
 multivariate small area estimation and its MSE. In fact, MSE estimators for
 ratio benchmark are not readily available, so resampling method that called
 parametric bootstrap is applied. The ratio benchmark model and parametric
 bootstrap in this package are based on the model proposed in small area
 estimation. J.N.K Rao and Isabel Molina (2015, ISBN: 978-1-118-73578-7).

Package: r-cran-msaface
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-msaface_0.1.0-1.ca2004.1_all.deb
Size: 61996
MD5sum: 7589d39f71cb0b8b1bf36b37d972e8a3
SHA1: 8aa172a662279d485ae8448ee04e551cc1da569b
SHA256: 12c1b1b0b00550d28a7146cd2cc3e2da512bf15be2e9f779d2260ec00ec1fee2
SHA512: c03cd245939c0af390c60d631028bd5ef4d0d6adc6635c0b9bbc6f7536e43c0cb651fd424b1af3b21fb2f2fba38fd910d6711a04dc07e9f841b19b9c6941f2c1
Homepage: https://cran.r-project.org/package=msaFACE
Description: CRAN Package 'msaFACE' (Moving Subset Analysis FACE)
 The new methodology "moving subset analysis" provides functions to
 investigate the effect of environmental conditions on the CO2 fertilization
 effect within longterm free air carbon enrichment (FACE) experiments. In
 general, the functionality is applicable to derive the influence of a third
 variable (forcing experiment-support variable) on the relation between a
 dependent and an independent variable.

Package: r-cran-msamp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-msamp_1.0.0-1.ca2004.1_all.deb
Size: 209432
MD5sum: cc2079e7019558c23f041276731a4d71
SHA1: b21c5b2e31780bfa60e3b5f6066c96b232e3db76
SHA256: 9e9ce2207cb9b91d5e5669cf74eb5b7e086d1631a84fe4fad41061949ae345a2
SHA512: 460d973d5911bea7d3fccdfa364d2d4cb1a7a63a8f010c5ade28af5eacb131f227cfd28d8bfa039480115430ec62cb2d95b6a079dea0d9ba647ea47ab822e76c
Homepage: https://cran.r-project.org/package=msamp
Description: CRAN Package 'msamp' (Estimate Sample Size to Detect Bacterial Contamination in aProduct Lot)
 Estimates the sample size needed to detect microbial contamination in a lot
 with a user-specified detection probability and user-specified analytical
 sensitivity.  Various patterns of microbial contamination are accounted for:
 homogeneous (Poisson), heterogeneous (Poisson-Gamma) or
 localized(Zero-inflated Poisson).  Ida Jongenburger et al. (2010)
 <doi:10.1016/j.foodcont.2012.02.004> "Impact of microbial distributions on
 food safety".  Leroy Simon (1963) <doi:10.1017/S0515036100001975> "Casualty
 Actuarial Society - The Negative Binomial and Poisson Distributions
 Compared".

Package: r-cran-msap
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-ape
Filename: pool/dists/focal/main/r-cran-msap_1.1.8-1.ca2004.1_all.deb
Size: 427168
MD5sum: 1c021537a44ffe12cc597bf82a611eb1
SHA1: 2e28bdab595b6b338c4f4faea0edd12144689ab4
SHA256: 3e2ee83d8e15dfe8347fca176d7303a866313217cf51b59c4eeef963b9a8c166
SHA512: 4bfb5de609efd1ddd5eea1e6b1e993dc288a2a920ae0fbf1ee4d6481830d5c5f78dbc7598b2d424f81a424dee1f2f189a179c737679fe8df64583f841347f94d
Homepage: https://cran.r-project.org/package=msap
Description: CRAN Package 'msap' (Statistical analysis for Methylation-sensitive AmplificationPolymorphism data)
 Statistical Analyses of Methylation-sensitive Amplification Polymorphism
 (MSAP) assays.

Package: r-cran-msar
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1054
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-htmlwidgets
Suggests: r-bioc-biostrings, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msar_0.6.0-1.ca2004.1_all.deb
Size: 297548
MD5sum: 51e30cc6c57bef1e388a52b0580a0c13
SHA1: e64320b25add777e026edd77b034b50fbfcc7b8e
SHA256: a4111a6d09cc2464c2b3c142e2b8bb8cc597a874b7c4383eeab9556011620c68
SHA512: b4f6c51ff69e6d29e9e8476f8bcf4c5ceb0cfa70275e83bc70537ba92bc0a692376d43417681e7c2dbc5739e997833817b60d3720d9d79ab1228150d853464b1
Homepage: https://cran.r-project.org/package=msaR
Description: CRAN Package 'msaR' (Multiple Sequence Alignment for R Shiny)
 Visualizes multiple sequence alignments dynamically within the Shiny web
 application framework.

Package: r-cran-msbox
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3381
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-crayon, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-msbox_1.4.8-1.ca2004.1_all.deb
Size: 3419256
MD5sum: 1077798ce1c5774af2a2a6cf06f3cf93
SHA1: c3dcdd7319ceff51143efad84334e2956a339a5d
SHA256: 3a1271f1cc198e267dabec5bbd8351d9de9bcfd8e64acd95bd6e24811558930e
SHA512: 734bd3278f9d734c1e5b48d7224ab69303ae040bb74bf345adc021ed6743d36f8a68080b7db1593d73e2605cac54ca76b3674a673cc749ab7999ad311f6e5bd6
Homepage: https://cran.r-project.org/package=MSbox
Description: CRAN Package 'MSbox' (Mass Spectrometry Tools)
 Common mass spectrometry tools described in John Roboz (2013)
 <doi:10.1201/b15436>. It allows checking element isotopes, calculating
 (isotope labelled) exact monoisitopic mass, m/z values and mass accuracy,
 and inspecting possible contaminant mass peaks, examining possible adducts
 in electrospray ionization (ESI) and matrix-assisted laser desorption
 ionization (MALDI) ion sources.

Package: r-cran-msbstatsdata
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-msbstatsdata_0.0.2-1.ca2004.1_all.deb
Size: 177316
MD5sum: ddeea41cbb3ff0a8d5bc4f61eac9cfa4
SHA1: b763fc0c4be9bebedcf599e1ba094eab604a18f0
SHA256: 7b3facb4afa14595213862b8cd4fcd0064ad8f794b831c79363cc6068b3b9e83
SHA512: f2045ed424fd691fa644ae11cf7b63391cd01944a7f382f5bbae47eeee22cfdf23d68bc35c37a9ed464cd9f97c2e40c02577606303c210041778dbdc9c114b45
Homepage: https://cran.r-project.org/package=MSBStatsData
Description: CRAN Package 'MSBStatsData' (Data Sets for Courses at the Münster School of Business)
 Provides sample data sets that are used in statistics and data science
 courses at the Münster School of Business. The datasets refer to different
 business topics but also other domains, e.g. sports, traffic, etc.

Package: r-cran-mschart
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-officer, r-cran-cellranger, r-cran-writexl, r-cran-xml2, r-cran-htmltools
Suggests: r-cran-tinytest, r-cran-doconv
Filename: pool/dists/focal/main/r-cran-mschart_0.4.0-1.ca2004.1_all.deb
Size: 418332
MD5sum: 7c751bbe4ccb67f0f5ff4e29057d71f8
SHA1: d8e2e5229b66e93a400ea0d3ced92c410fe97c87
SHA256: be7f324238807731893498ee85fc50e379638498c4593c4c82f54afbc1622f19
SHA512: 664662b09fa7b76abb55247b6a8a78647528b92039bb68ea1b24450a7bc774c79990eee6848882e7089842c02e99dfd043490ceaded8a2a512ee23738b04ace7
Homepage: https://cran.r-project.org/package=mschart
Description: CRAN Package 'mschart' (Chart Generation for 'Microsoft Word' and 'Microsoft PowerPoint'Documents)
 Create native charts for 'Microsoft PowerPoint' and 'Microsoft Word'
 documents.  These can then be edited and annotated. Functions are provided
 to let users create charts, modify and format their content. The chart's
 underlying data is automatically saved within the 'Word' document or
 'PowerPoint' presentation. It extends package 'officer' that does not
 contain any feature for 'Microsoft' native charts production.

Package: r-cran-msclust
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gtools, r-cran-matrix, r-cran-mclust, r-cran-mnormt, r-cran-mvtnorm, r-cran-psych, r-cran-cluster, r-cran-ggplot2, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-msclust_1.0.4-1.ca2004.1_all.deb
Size: 99104
MD5sum: 3f4d7844b88098c85a0f5f30a194107d
SHA1: 2d8844623979461d2480502ba353b4f1e14821b3
SHA256: 21810fe44d623af975dbfaf1bde02e537b76e9869e794c52642ab9dc83541b67
SHA512: d8be830dc79359b505974b27ad9944c2fe8c7d164cd8b2dbfed8b2591b983f9892e6707f127764dbac381f3defc7fb31e6bbaca121e275a13241e9fee74ddc3a
Homepage: https://cran.r-project.org/package=MSclust
Description: CRAN Package 'MSclust' (Multiple-Scaled Clustering)
 Model based clustering using the multivariate multiple Scaled t (MST) and
 multivariate multiple scaled contaminated normal (MSCN) distributions. The
 MST is an extension of the multivariate Student-t distribution to include
 flexible tail behaviors, Forbes, F. & Wraith, D. (2014)
 <doi:10.1007/s11222-013-9414-4>. The MSCN represents a heavy-tailed
 generalization of the multivariate normal (MN) distribution to model
 elliptical contoured scatters in the presence of mild outliers (also
 referred to as "bad" points) and automatically detect bad points, Punzo, A.
 & Tortora, C. (2021) <doi:10.1177/1471082X19890935>.

Package: r-cran-mscombine
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mscombine_1.4-1.ca2004.1_all.deb
Size: 83484
MD5sum: 899da52215142d478c9b21663ce9568b
SHA1: 865deff2adb531c14796f6aadc99b18a0e7f2e0d
SHA256: 815e132f9eb3a266a19e29db5b1129438215f6ee433d1beffca4b4019df9b7e1
SHA512: 76a0b577f5fb4f673876af1166f25b6bdf13f007912185b8adc0bfa628346a74f00c63af4f25adfc315a3956b7e83ec6ec82e31c59f1bd4aa32716614b231062
Homepage: https://cran.r-project.org/package=MScombine
Description: CRAN Package 'MScombine' (Combine Data from Positive and Negative Ionization Mode FindingCommon Entities)
 Find common entities detected in both positive and negative ionization mode,
 delete this entity in the less sensible mode and combine both matrices.

Package: r-cran-mscp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mscp_1.0-1.ca2004.1_all.deb
Size: 36492
MD5sum: bc8fbbc0a6718d1f50eec3338b307f15
SHA1: b274ea96b3219be632570e861db4229f61a123d7
SHA256: 75d293af1b4ab291f2d9504dfba57f3a07a9ea1266fda5410fb6dbb6b7562202
SHA512: 9620066c82aa88a41f91f795835e41f038796f2d3d3466bba3d98014d4a9be0064f6006accae59fde1e0ef16ad7008f0339a6f252d86bff6d1719721b91af349
Homepage: https://cran.r-project.org/package=mscp
Description: CRAN Package 'mscp' (Multiscale Change Point Detection via Gradual BandwidthAdjustment in Moving Sum Processes)
 Multiscale moving sum procedure for the detection of changes in expectation
 in univariate sequences. References - Multiscale change point detection via
 gradual bandwidth adjustment in moving sum processes (2021+), Tijana
 Levajkovic and Michael Messer.

Package: r-cran-mscsimtester
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-rdpack, r-cran-ksamples
Filename: pool/dists/focal/main/r-cran-mscsimtester_1.1-1.ca2004.1_all.deb
Size: 62120
MD5sum: 7651eeefcd41f13c488e0dd7b5a2435b
SHA1: de5a846f54e338bfa5f910ad6817c16916091b7b
SHA256: fa7f9623e37aa208ffb1697946b7d8655a8054aed0484952dada3c3c0d879ba7
SHA512: 9848eeda379bb22114ec8f0f21a61ff2b950545518268fb26924221db7b67222c9109777ba7c81f989bbfadd8679dbbd7a57f9a7973b31911c24916e08cdb647
Homepage: https://cran.r-project.org/package=MSCsimtester
Description: CRAN Package 'MSCsimtester' (Tests of Multispecies Coalescent Gene Tree Simulator Output)
 Statistical tests for validating multispecies coalescent gene tree
 simulators, using pairwise distances and rooted triple counts. See Allman
 ES, Baños HD, Rhodes JA 2023. Testing multispecies coalescent simulators
 using summary statistics, IEEE/ACM Trans Comput Biol Bioinformat,
 20(2):1613–1618. <doi:10.1109/TCBB.2022.3177956>.

Package: r-cran-mscstexta4r
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-pander, r-cran-stringi, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mscsweblm4r
Filename: pool/dists/focal/main/r-cran-mscstexta4r_0.1.2-1.ca2004.1_all.deb
Size: 83984
MD5sum: 80161a2dc05b1dd74228f8ca82964873
SHA1: 837636ce9e8b1c12e19613b236e50e27b83716dd
SHA256: 576ba20814dbae3317ac3d47dad3ad07560851ee83f3483db20b8659654f889c
SHA512: 9898b1ed2744464b669bc61345ad611b74680ea772ef544b6127ec33b90bab8d6c0a5c60209a33956f153e2e070ff3a81d27f5c31a5b7c5a02a30e0465d24b20
Homepage: https://cran.r-project.org/package=mscstexta4r
Description: CRAN Package 'mscstexta4r' (R Client for the Microsoft Cognitive Services Text AnalyticsREST API)
 R Client for the Microsoft Cognitive Services Text Analytics REST API,
 including Sentiment Analysis, Topic Detection, Language Detection, and Key
 Phrase Extraction. An account MUST be registered at the Microsoft Cognitive
 Services website <https://www.microsoft.com/cognitive-services/> in order to
 obtain a (free) API key. Without an API key, this package will not work
 properly.

Package: r-cran-mscstts
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tuner
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-rvest, r-cran-xml2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-mscstts_0.6.3-1.ca2004.1_all.deb
Size: 130908
MD5sum: 7755d956c92450917ec9fb865cb168f2
SHA1: 38c33723f936206c04879d8309c75a1491823ea0
SHA256: 52008b46db3155c4cce647324057659f427a7eda62616a161c9bd51a1fad4955
SHA512: 35d32255e24534b6dec075d58f109cf4ece3b4e8c4e1c3f8a6c897e8b3177766e71d0de9fcf527efff741e0fe1257ec4258d82478c5e29fba42ad62dff2cf5c6
Homepage: https://cran.r-project.org/package=mscstts
Description: CRAN Package 'mscstts' (R Client for the Microsoft Cognitive Services 'Text-to-Speech'REST API)
 R Client for the Microsoft Cognitive Services 'Text-to-Speech' REST API,
 including voice synthesis. A valid account must be registered at the
 Microsoft Cognitive Services website
 <https://azure.microsoft.com/services/cognitive-services/> in order to
 obtain a (free) API key. Without an API key, this package will not work
 properly.

Package: r-cran-mscsweblm4r
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-pander
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mscstexta4r
Filename: pool/dists/focal/main/r-cran-mscsweblm4r_0.1.2-1.ca2004.1_all.deb
Size: 60836
MD5sum: 5e25bb4d93a65829719a06bb5c021379
SHA1: 65d4849a45f3fc3663c96c22337f15332f8344de
SHA256: 3d59ddf7bfac3dde7a06431fb555c48f24cba9715bc426a004d170d22b3ff3db
SHA512: 8ac775e0add635a3dac76b1eb44df01ce8a5d2bfd46482f6f1d5bd971c9ddb856f13949a6f4e6a06fe8a2930ad5fe72bf23f579a6d36cc643e2f1eecc077052d
Homepage: https://cran.r-project.org/package=mscsweblm4r
Description: CRAN Package 'mscsweblm4r' (R Client for the Microsoft Cognitive Services Web Language ModelREST API)
 R Client for the Microsoft Cognitive Services Web Language Model REST API,
 including Break Into Words, Calculate Conditional Probability, Calculate
 Joint Probability, Generate Next Words, and List Available Models. A valid
 account MUST be registered at the Microsoft Cognitive Services website
 <https://www.microsoft.com/cognitive-services/> in order to obtain a (free)
 API key. Without an API key, this package will not work properly.

Package: r-cran-msd
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-msd_0.3.1-1.ca2004.1_all.deb
Size: 85940
MD5sum: a298b0cf03ec1af1e6e233bd4ea9e385
SHA1: bac70c7692aaaef675383321092601be7a3a388e
SHA256: 1ce8fc222e9c0b34489b213e269d36d27e2bc6687798fa7b8acc48cea5890aee
SHA512: 518510d495d78f950e97f690d96e7a9c5091461776f0c49d8c0e1aa2e041fcf07edf0867ae22f7171db0aa6e6b6d1b8f8a8c2dac2bef9bb1cf13e51a7c8753ec
Homepage: https://cran.r-project.org/package=msd
Description: CRAN Package 'msd' (Method of Successive Dichotomizations)
 Implements the method of successive dichotomizations by Bradley and Massof
 (2018) <doi:10.1371/journal.pone.0206106>, which estimates item measures,
 person measures and ordered rating category thresholds given ordinal rating
 scale data.

Package: r-cran-msdrought
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lubridate, r-cran-quantmod, r-cran-signal, r-cran-xts
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-terra, r-cran-tidyr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-msdrought_0.1.1-1.ca2004.1_all.deb
Size: 736012
MD5sum: 27023865f904cd54151f789cbae8efe8
SHA1: 63a6039a8b31193f4a0a0954c9f094068e28d01e
SHA256: b97282029f70f18fce68a5256fdc32833b3effcefd37c63612469924c154ed01
SHA512: 8f9473bb89ba7b29b17368b09f5ff080d76bc064dd191974b1047e87d7908fad5683d651e8c206e88518eb85af13d699f736a0e3b5abb1cc828d54ae1ce81ace
Homepage: https://cran.r-project.org/package=msdrought
Description: CRAN Package 'msdrought' (Seasonal Mid-Summer Drought Characteristics)
 Characterization of a mid-summer drought (MSD) with precipitation based
 statistics. The MSD is a phenomenon of decreased rainfall during a typical
 rainy season. It is a feature of rainfall in much of Central America and is
 also found in other locations, typically those with a Mediterranean climate.
 Details on the metrics are in Maurer et al. (2022)
 <doi:10.5194/hess-26-1425-2022>.

Package: r-cran-mseapca
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-loadings, r-cran-xml
Filename: pool/dists/focal/main/r-cran-mseapca_2.0.3-1.ca2004.1_all.deb
Size: 57920
MD5sum: 2a4c334ae74498d912c5490474c3bbde
SHA1: 7153ba41bea831dde094a242ae4ee51d33adb164
SHA256: 84635f1c78c4c5f97767582aa96c23872b062c36fe3c964b48d74833da119904
SHA512: 4f7f97f5bf996a859b6c7fc15fc2d2b478e5b06fb981b7a42881a19f1bc54079d539f6ac4787cdda416034217315d3691aa14cdf60db8be7d6fb0aa7fe9a556e
Homepage: https://cran.r-project.org/package=mseapca
Description: CRAN Package 'mseapca' (Metabolite Set Enrichment Analysis for Loadings)
 Computing metabolite set enrichment analysis (MSEA) (Yamamoto, H. et al.
 (2014) <doi:10.1186/1471-2105-15-51>) and single sample enrichment analysis
 (SSEA) (Yamamoto, H. (2023) <doi:10.51094/jxiv.262>).

Package: r-cran-msg
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-animation, r-cran-igraph, r-cran-kernsmooth, r-cran-maps, r-cran-mvtnorm, r-cran-rgl, r-cran-rgooglemaps, r-cran-plotrix, r-cran-sna
Filename: pool/dists/focal/main/r-cran-msg_0.8-1.ca2004.1_all.deb
Size: 1160288
MD5sum: 8ab5f8e8cd827eb9064724b2ba549986
SHA1: a1fae4899c42780a01062f1a1d3491bdac1f8254
SHA256: 1139546fb5aebcf2497f51576178c5fda2105c1a2e61435ed804abc82be54a5f
SHA512: 1647600d1d5db672eb000a776f278f21d20e5e436dfce7ec5c90203165c0c1566d896672ff808498b4133f32265955af722b0e477a6b84fe97b837413b59d62f
Homepage: https://cran.r-project.org/package=MSG
Description: CRAN Package 'MSG' (Data and Functions for the Book Modern Statistical Graphics)
 A companion to the Chinese book ``Modern Statistical Graphics''.

Package: r-cran-msgarchelm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnfor, r-cran-msgarch, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-msgarchelm_0.1.0-1.ca2004.1_all.deb
Size: 34116
MD5sum: 8c418f8ca2a220f0560f3eed08fe7481
SHA1: 7d7d401d22803358ea15f88dabf139bb5f7977a0
SHA256: 2a514e2ce2a052e83fa0a848f8d7088630e57024c17f8b9fa42b0eb6338ea791
SHA512: 91150313a3e40acb924293f64aa7d38bb9dffd1b4930f3bbac8897b6229e6865ae258cb1133226229a444d2711921848df85e425578c2724f40e40ae7395c7d5
Homepage: https://cran.r-project.org/package=MSGARCHelm
Description: CRAN Package 'MSGARCHelm' (Hybridization of MS-GARCH and ELM Model)
 Implements the three parallel forecast combinations of Markov Switching
 GARCH and extreme learning machine model along with the selection of
 appropriate model for volatility forecasting. For method details see Hsiao
 C, Wan SK (2014). <doi:10.1016/j.jeconom.2013.11.003>, Hansen BE (2007).
 <doi:10.1111/j.1468-0262.2007.00785.x>, Elliott G, Gargano A, Timmermann A
 (2013). <doi:10.1016/j.jeconom.2013.04.017>.

Package: r-cran-msgpackr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-msgpackr_1.1-1.ca2004.1_all.deb
Size: 45432
MD5sum: d33914e357d660de41cdf9fd96f5fb99
SHA1: 4654acf23892265543ef3dc3589eff0a258ea04b
SHA256: 3c619be02b47c3d29f4f7d44a7c4c60fc5d06fa54c7ffcff1865b72ebc0e85fb
SHA512: b6059fc1784fe6cadbecfe1f78065897dd5297eadfd7c4102d4ffd606de81d6a0b572686f41639659dbd1cfa8e7c4ffea206ac57cb0610cd4e6844378b041aa6
Homepage: https://cran.r-project.org/package=msgpackR
Description: CRAN Package 'msgpackR' (A library to serialize or unserialize data in MessagePack format)
 This is the library that can serialize or unserialize MessagePack format
 data.

Package: r-cran-msgr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-purrr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-msgr_1.1.2-1.ca2004.1_all.deb
Size: 81812
MD5sum: ea592308ca4623223c47ce534734e9da
SHA1: 09b22d15974ae1e738fec428750ae5db96c3d837
SHA256: 9a6c75e807ff74632962647a9cae273dc4463276f17a6d0257dbbdbb8bed6e0f
SHA512: f74f88d2213f3b29e8b98a4f05f995792a415789a57d2f98234089745fa1a0d1c2004c468614cc481f1229a273f010f1db17a0d87bf1ea380812f4728c00e0bc
Homepage: https://cran.r-project.org/package=msgr
Description: CRAN Package 'msgr' (Extends Messages, Warnings and Errors by Adding Levels and LogFiles)
 Provides new functions info(), warn() and error(), similar to message(),
 warning() and stop() respectively. However, the new functions can have a
 'level' associated with them, so that when executed the global level option
 determines whether they are shown or not. This allows debug modes,
 outputting more information. The can also output all messages to a log file.

Package: r-cran-mshap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1052
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-purrr, r-cran-dplyr, r-cran-forcats, r-cran-stringr, r-cran-ggplot2, r-cran-ggbeeswarm, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-insurancedata, r-cran-reticulate, r-cran-caret, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mshap_0.1.0-1.ca2004.1_all.deb
Size: 698292
MD5sum: 9c5cecb3a406be37c94093cd7eee6ec7
SHA1: b7dfad3161b46d3cbc44a01ce4e3151fe5c27839
SHA256: 019fea9c6c3f1ebb47485a5219bbded08c780241d0a760cd37293e4418ad5f2d
SHA512: 513e398f3990fdb2aa75295784a82af3a0230619523e229faf705bbe11aa669e16c866cff3514d893212dd6c94bfc4f547cca46874d152ee662dd4506e82594a
Homepage: https://cran.r-project.org/package=mshap
Description: CRAN Package 'mshap' (Multiplicative SHAP Values for Two-Part Models)
 Allows for the computation of mSHAP values on two-part models as proposed by
 Matthews, S. and Hartman, B.  (2021) <arXiv:2106.08990>.  Also contains
 functions for simple plotting of the results (or any SHAP values). For
 information about the TreeSHAP algorithm that mSHAP builds on, see Lundberg,
 S.M., Erion, G., Chen, H., DeGrave, A., Prutkin, J.M., Nair, B., Katz, R.,
 Himmelfarb, J., Bansal, N., Lee, S.I. (2020)
 <doi:10.1038/s42256-019-0138-9>.

Package: r-cran-msig
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-do, r-cran-rvest, r-cran-xml2, r-cran-set, r-cran-plyr, r-cran-httr, r-cran-jsonlite, r-cran-kableextra, r-cran-tmcn, r-cran-crayon, r-cran-dplyr, r-cran-stringr, r-cran-sqldf
Filename: pool/dists/focal/main/r-cran-msig_1.0-1.ca2004.1_all.deb
Size: 143552
MD5sum: 23e8dd4cd0ac48fef4d9e6a9089b4e20
SHA1: 51660845ec5da9cfd3b653a09d9f3c4bc0973faf
SHA256: ee9cf26ac374982d0bd44d798fc993f596b521edd870cd025b50d6307f270d87
SHA512: 339045168e9bd6f5ca0da97b8bb7d60b9fa9bc27039d6d52982fb7cc31f23c2131f3ae980fa32fdfd9292ab8133eb9abbe3de5be1f4f8eee12a86a58f24b7527
Homepage: https://cran.r-project.org/package=msig
Description: CRAN Package 'msig' (An R Package for Exploring Molecular Signatures Database)
 The Molecular Signatures Database ('MSigDB') is one of the most widely used
 and comprehensive databases of gene sets for performing gene set enrichment
 analysis <doi:10.1016/j.cels.2015.12.004>. The 'msig' package provides you
 with powerful, easy-to-use and flexible query functions for the 'MsigDB'
 database.  There are 2 query modes in the 'msig' package: online query and
 local query.  Both queries contain 2 steps: gene set name and gene.  The
 online search is divided into 2 modes: registered search and non-registered
 browse. For registered search, email that you registered should be provided.
 Local queries can be made from local database, which can be updated by
 msig_update() function.

Package: r-cran-msigdbr
Architecture: all
Version: 24.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-babelgene, r-cran-curl, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msigdbr_24.1.0-1.ca2004.1_all.deb
Size: 29144
MD5sum: b5040a143e5acc30a7c23fe5adc16c88
SHA1: 14de3de955a3b864f0af7e504d0b32165330353c
SHA256: ee3ff4a4e85c0880f00453f0a310c156abe5360699799f62cc2abb4452bda0b4
SHA512: 22947d7fbc7a0c89914455bd664f87f48f4b6050700f1edaeeedb7b6aa2ddc831aa22147d15cf85f73de8a9b236aab80b5714ef57d53e9e006d029b1adf23b39
Homepage: https://cran.r-project.org/package=msigdbr
Description: CRAN Package 'msigdbr' (MSigDB Gene Sets for Multiple Organisms in a Tidy Data Format)
 Provides the 'Molecular Signatures Database' (MSigDB) gene sets typically
 used with the 'Gene Set Enrichment Analysis' (GSEA) software (Subramanian et
 al. 2005 <doi:10.1073/pnas.0506580102>, Liberzon et al. 2015
 <doi:10.1016/j.cels.2015.12.004>, Castanza et al.  2023
 <doi:10.1038/s41592-023-02014-7>) as an R data frame. The package includes
 the human genes as listed in MSigDB as well as the corresponding symbols and
 IDs for frequently studied model organisms such as mouse, rat, pig, fly, and
 yeast.

Package: r-cran-msigseg
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2020
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-ggpubr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-msigseg_0.2.0-1.ca2004.1_all.deb
Size: 1849788
MD5sum: 9f6988ead5cdaae94c02b2a35547e41a
SHA1: e9aeba9cf38d0fce0f93017450aa0b5623ffc529
SHA256: 835533c64df3e9e00116a79fe593e9d02d4c1deb861c7ffcd44deb076c92adac
SHA512: 32b1f4a850e793dbf749d47ef59061ac21b36345abb660db9beab5183e71503be6586e121378e2b6b74a6ccec929faf7f6cec7fed790654ef3b8dc2654a263b7
Homepage: https://cran.r-project.org/package=MSigSeg
Description: CRAN Package 'MSigSeg' (Multiple SIGnal SEGmentation)
 Traditional methods typically detect breakpoints from individual signals,
 which means that when applied separately to multiple signals, the
 breakpoints are not aligned.  However, this package implements a common
 breakpoint detection approach for multiple piecewise constant signals,
 resulting in increased detection sensitivity and specificity.  By employing
 various techniques, optimal performance is ensured, and computation is
 accelerated. We hope that this package will be beneficial for researchers in
 signal processing, bioinformatics, economy, and other related fields.  The
 segmentation(), lambda_estimator() functions are the main functions of this
 package.

Package: r-cran-msigtools
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clue, r-cran-philentropy, r-cran-quadprog, r-cran-sets
Suggests: r-cran-cosmicsig, r-cran-icams, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msigtools_1.0.7-1.ca2004.1_all.deb
Size: 66504
MD5sum: 448d05e3b18f18abf3b9df95c6050eff
SHA1: ac14257f5ea24ead43f4054afd83bc1b36d7e409
SHA256: b63e755199aac7bd9131c0192d7189c46d49e47a94b90a32e3f2536f78eaf29a
SHA512: 6fe5c8f9df8035a3b19e6f73377f739d0f71f70132ce4cd080f521c7f2c2f94a8df04a78c594f9e588bfd032592392bde474d0852999bf0c5f5aec49014915fc
Homepage: https://cran.r-project.org/package=mSigTools
Description: CRAN Package 'mSigTools' (Mutational Signature Analysis Tools)
 Utility functions for mutational signature analysis as described in
 Alexandrov, L. B. (2020) <doi:10.1038/s41586-020-1943-3>.  This package
 provides two groups of functions. One is for dealing with mutational
 signature "exposures" (i.e. the counts of mutations in a sample that are due
 to each mutational signature). The other group of functions is for matching
 or comparing sets of mutational signatures. 'mSigTools' stands for
 mutational Signature analysis Tools.

Package: r-cran-msip
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2072
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-magrittr, r-cran-plyr, r-cran-prroc, r-cran-caret, r-cran-e1071, r-cran-mice, r-cran-proc, r-cran-ranger
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-msip_1.3.7-1.ca2004.1_all.deb
Size: 1085412
MD5sum: 8faa0a047ba9ae188dbd56dbb3b636b9
SHA1: 7dd3a2a0a674e2027af1c07d2a7a0a80c070af36
SHA256: b035cb80d67b2b70df9a00d5f9b5dcc5c9b424b9e3eb0e2e1fdfd219b62e6f5a
SHA512: d0ada731f69c298abb4b385f3b3ec524e0764fd6598dfd4ac1d5d1dd4531f99c1866ee6c4f143f84fe64a874e29ed3791977a249acdeceb80463fd12d925fc1a
Homepage: https://cran.r-project.org/package=MSiP
Description: CRAN Package 'MSiP' ('MassSpectrometry' Interaction Prediction)
 The 'MSiP' is a computational approach to predict protein-protein
 interactions from large-scale affinity purification mass 'spectrometry'
 (AP-MS) data. This approach includes both spoke and matrix models for
 interpreting AP-MS data in a network context. The "spoke" model considers
 only bait-prey interactions, whereas the "matrix" model assumes that each of
 the identified proteins (baits and prey) in a given AP-MS experiment
 interacts with each of the others. The spoke model has a high false-negative
 rate, whereas the matrix model has a high false-positive rate. Although,
 both statistical models have merits, a combination of both models has shown
 to increase the performance of machine learning classifiers in terms of
 their capabilities in discrimination between true and false positive
 interactions.

Package: r-cran-msir
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1378
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-msir_1.3.3-1.ca2004.1_all.deb
Size: 540988
MD5sum: 9cf794caca0f7a1049ead6d3065feff3
SHA1: ef5edd1715fe9bb19797b78caf74cedd6f24650f
SHA256: d34c86be81c056e060f520c4b6eca655793390662249e1d511562a5f880f3a81
SHA512: 191d194890374b43ef371126866bee2df30b5daf3be3215fa1167197fc48a517d15d970115c6c78b79eda8a67adf420a1b2bf68682d1e2b6920c0fa927e6d1c3
Homepage: https://cran.r-project.org/package=msir
Description: CRAN Package 'msir' (Model-Based Sliced Inverse Regression)
 An R package for dimension reduction based on finite Gaussian mixture
 modeling of inverse regression.

Package: r-cran-mskcc.oncotree
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-magrittr, r-cran-memoise, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyjson, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mskcc.oncotree_0.1.1-1.ca2004.1_all.deb
Size: 198036
MD5sum: 62f4040d6114077fa2558ffef07fb623
SHA1: d07b668bb9b54a76bc1f61a83e59a8f424262395
SHA256: b871e741c12f49ac20bb92a068000e4202c1d82a126f21de6efac083da407afa
SHA512: d0eabc97a4e47b440c0b92442d8134c5e1c7db5efb7a1810db3ffe6225809037a3c5df34f22346f06dc58c2d8baca537105f9ea65a863e77b8b36d2fee84adf3
Homepage: https://cran.r-project.org/package=mskcc.oncotree
Description: CRAN Package 'mskcc.oncotree' (Interface to the 'OncoTree' API)
 Programmatic access to 'OncoTree' API <http://oncotree.mskcc.org/>. Get
 access to tumor main types, identifiers and utility routines to map across
 to other tumor classification systems.

Package: r-cran-msltrend
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-forecast, r-cran-plyr, r-cran-rssa, r-cran-tseries, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-msltrend_1.0-1.ca2004.1_all.deb
Size: 135200
MD5sum: aa862cda9e09289f6cc12bbbea840f4d
SHA1: ee40385bba8af59e2078469804d09cbbeadda84d
SHA256: 24a643a4d2cb5577185e56506ee42b423aaa296606f0172bb8901116865c5002
SHA512: d4910bb466a7288e036888d8855165b02d02f5ef20e118280ec0f41c27dc5b869688af86d78fbcd1eb6bf19600330017e670109400991b639f71150b29155915
Homepage: https://cran.r-project.org/package=msltrend
Description: CRAN Package 'msltrend' (Improved Techniques to Estimate Trend, Velocity and Accelerationfrom Sea Level Records)
 Analysis of annual average ocean water level time series from long (minimum
 length 80 years) individual records, providing improved estimates of trend
 (mean sea level) and associated real-time velocities and accelerations.
 Improved trend estimates are based on Singular Spectrum Analysis methods.
 Various gap-filling options are included to accommodate incomplete time
 series records. The package also contains a forecasting module to consider
 the implication of user defined quantum of sea level rise between the end of
 the available historical record and the year 2100. A wide range of screen
 and pdf plotting options are available in the package.

Package: r-cran-msma
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1805
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-msma_3.1-1.ca2004.1_all.deb
Size: 717988
MD5sum: 88df4864712eac22c4010f8a756423fd
SHA1: 23a55b61467f34a614bc6230128acfe532735452
SHA256: 7d02d7aa42ed22c9d15623bc7d617d198eb056ec85f72f7f0d6cce7d19db70f5
SHA512: 4f2c2593f4defe604568def7fd8c6b3457a7e4de2b6cbdac54192061bd08d2385199427aae692c5f395eddad3e7a1779d385ccc6c9f512855febf6a933f3f0ab
Homepage: https://cran.r-project.org/package=msma
Description: CRAN Package 'msma' (Multiblock Sparse Multivariable Analysis)
 Several functions can be used to analyze multiblock multivariable data. If
 the input is a single matrix, then principal components analysis (PCA) is
 implemented. If the input is a list of matrices, then multiblock PCA is
 implemented. If the input is two matrices, for exploratory and objective
 variables, then partial least squares (PLS) analysis is implemented. If the
 input is two lists of matrices, for exploratory and objective variables,
 then multiblock PLS analysis is implemented. Additionally, if an extra
 outcome variable is specified, then a supervised version of the methods
 above is implemented. For each method, sparse modeling is also incorporated.
 Functions for selecting the number of components and regularized parameters
 are also provided.

Package: r-cran-msme
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-msme_0.5.4-1.ca2004.1_all.deb
Size: 244584
MD5sum: 4d7894ff18d57f2287b1a83fcf3bca54
SHA1: c8c98f5f3a3520c3d15a94075bec018d7a2d6fe2
SHA256: 75a9ed4dd75c85f241ba187e04aec550f45177abc9b3ece3d5606402af05a2f6
SHA512: 98954ff33c044364078e71246972a808563fce2dd5c091dc59679da6f0711b00bb850b834dfa68fc5370dac783a2301b32e814cd534c4c4fd5ef37363987b403
Homepage: https://cran.r-project.org/package=msme
Description: CRAN Package 'msme' (Functions and Datasets for "Methods of Statistical ModelEstimation")
 Functions and datasets from Hilbe, J.M., and Robinson, A.P. 2013. Methods of
 Statistical Model Estimation. Chapman & Hall / CRC.

Package: r-cran-msml
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3317
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r2redux, r-cran-r2roc
Filename: pool/dists/focal/main/r-cran-msml_1.0.0.1-1.ca2004.1_all.deb
Size: 3361904
MD5sum: dd8e689f0490baab1f6b98ff3fa689d0
SHA1: dd3a02d357dd05ca23e28d5c81c7426c86f0d95c
SHA256: b4dd16fde0ebb2a0e1ee0c005a6293beb54ba8f8c815ad03e37d56ce160a72e9
SHA512: e3ab32e36b19fdbc44938ed934bc625e0774468ed45bf887e013af1606a6c1b3855cfd127cc6dcb1da90f93946710e5a6413635a8732bc7d46e21625c62fc13c
Homepage: https://cran.r-project.org/package=MSML
Description: CRAN Package 'MSML' (Model Selection Based on Machine Learning (ML))
 Model evaluation based on a modified version of the recursive feature
 elimination algorithm. This package is designed to determine the optimal
 model(s) by leveraging all available features.

Package: r-cran-msmtools
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-msm, r-cran-survival, r-cran-ggplot2, r-cran-patchwork, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-msmtools_2.0.1-1.ca2004.1_all.deb
Size: 408232
MD5sum: f20af1d9e4ac58f776ee2ac23c569e62
SHA1: 21df70f92cf161f43877bcee5addba9e00d9f87f
SHA256: 9f9d9ec669b564d4f17339adae009e5be1fd0359711904f529fb5eddd63c8816
SHA512: f2cab3be55b2240ca20d9c62fb1d41656823337f4a0b30569799ac1bb16443eccf6b287f441a21df13ac6383f9b33562364f5c238c41e8b7c0ff2d25cfb05a82
Homepage: https://cran.r-project.org/package=msmtools
Description: CRAN Package 'msmtools' (Building Augmented Data to Run Multi-State Models with 'msm'Package)
 A fast and general method for restructuring classical longitudinal data into
 augmented ones. The reason for this is to facilitate the modeling of
 longitudinal data under a multi-state framework using the 'msm' package.

Package: r-cran-msmwra
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-msmwra_1.5-1.ca2004.1_all.deb
Size: 28032
MD5sum: f65b34b39eb989ba99438c4a50eacceb
SHA1: 802757a94fbc8f6d61c53e78e244d505542c86e3
SHA256: 49c820fd3ae40057021442e4123afc8535c2854bd48a907ae0ed7a6aef1d78a7
SHA512: 356510d199080f0246c8daa54bd467401687ec58ad4ec49ca61ee8fb94969254743ffe91bc8bd70af3130b8d6b6661bcf492d5eda82c71ec79042e16184c0a7f
Homepage: https://cran.r-project.org/package=MSMwRA
Description: CRAN Package 'MSMwRA' (Multivariate Statistical Methods with R Applications)
 Data sets in the book entitled "Multivariate Statistical Methods with R
 Applications", H.Bulut (2018).  The book was published in Turkish and the
 original name of this book will be "R Uygulamalari ile Cok Degiskenli
 Istatistiksel Yontemler".

Package: r-cran-msos
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-tree
Filename: pool/dists/focal/main/r-cran-msos_1.2.0-1.ca2004.1_all.deb
Size: 363564
MD5sum: f97b319533755e1a26a55f5872f5ba8f
SHA1: 6d997af565640bc746a4a47d126731f58f5c163c
SHA256: 8f837ea1ae81748d35cb5219caae3bbf86f3f9610d72fd6ee0ef3c3313c238a7
SHA512: f73a07b226a9213051a66e6a58ab8283ad2e1b7d713523ec073648e67dc960a0f0f8fb8a817b5e3ca88a2289c0955dbc48d270eb1593310bfb0e343284aaaba2
Homepage: https://cran.r-project.org/package=msos
Description: CRAN Package 'msos' (Data Sets and Functions Used in Multivariate Statistics: OldSchool by John Marden)
 Multivariate Analysis methods and data sets used in John Marden's book
 Multivariate Statistics: Old School (2015) <ISBN:978-1456538835>.  This also
 serves as a companion package for the STAT 571: Multivariate Analysis course
 offered by the Department of Statistics at the University of Illinois at
 Urbana-Champaign ('UIUC').

Package: r-cran-msoutcomes
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-msoutcomes_0.2.1-1.ca2004.1_all.deb
Size: 122592
MD5sum: b8c31e6ab0bb365ba76d97d8be91b89c
SHA1: eae24856547f660c674c726f5458fc7f31c5caaa
SHA256: 73aa3c29272cc1cba8278c093787de2c617234214cb32ebbf3c36ad8030c4212
SHA512: 8822f81a4ae548f2306f22abe2d960948869ddd6ec0f098df7962e7def0acb79b976972acd377a5d4a6b1430abf84841a3151d9443ddfdd5ed6a815ab7097829
Homepage: https://cran.r-project.org/package=MSoutcomes
Description: CRAN Package 'MSoutcomes' (CORe Multiple Sclerosis Outcomes Toolkit)
 Enable operationalized evaluation of disease outcomes in multiple sclerosis.
 ‘MSoutcomes’ requires longitudinally recorded clinical data structured in
 long format. The package is based on the research developed at Clinical
 Outcomes Research unit (CORe), University of Melbourne and Neuroimmunology
 Centre, Royal Melbourne Hospital. Kalincik et al. (2015)
 <doi:10.1093/brain/awv258>.  Lorscheider et al.  (2016)
 <doi:10.1093/brain/aww173>. Sharmin et al.  (2022) <doi:10.1111/ene.15406>.
 Dzau et al. (2023) <doi:10.1136/jnnp-2023-331748>.

Package: r-cran-msprt
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv, r-cran-ggplot2, r-cran-ggpubr, r-cran-foreach, r-cran-iterators, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-msprt_3.0-1.ca2004.1_all.deb
Size: 519612
MD5sum: e04136fd164b3a53f5990fb28f23319f
SHA1: f2f70d941f2dca8f9486dd0a91a5320579ea18e6
SHA256: e9608fd1ebfd4118a3609cc6325c596d1a810789496998f9e84e6230ad9466d5
SHA512: 1bcc08d3a0415021c42580991b1ebf6d9db8732b2c945ead9189fde8e591ea2e371fe7e9d63c921f868e63d891a388735dc4b5d5ae7f325990c7697de17a01c3
Homepage: https://cran.r-project.org/package=MSPRT
Description: CRAN Package 'MSPRT' (A Modified Sequential Probability Ratio Test (MSPRT))
 Given the maximum available sample size (N) for an experiment, and the
 target levels of Type I and II error probabilities, this package designs a
 modified SPRT (MSPRT). For any designed MSPRT the package can also obtain
 its operating characteristics and implement the test for a given
 sequentially observed data. The MSPRT is defined in a manner very similar to
 Wald's initial proposal.  The proposed test has shown evidence of reducing
 the average sample size required to perform statistical hypothesis tests at
 specified levels of significance and power. Currently, the package
 implements one-sample proportion tests, one and two-sample z tests, and one
 and two-sample t tests. A brief user guidance for this package is provided
 below. One can also refer to the supplemental information for the same.

Package: r-cran-msqc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-msqc_1.1.0-1.ca2004.1_all.deb
Size: 126844
MD5sum: c9314c5248340ed5ffb790f59bde0c78
SHA1: 509aa7854c98e45fca28d28bfef74b347d41525c
SHA256: ded406300a4a03a00139d870dba6eeec0fbb8b043f630b10fd9f93841b612cc9
SHA512: 6fa0554299ac5cf09ef71923e8e46524dc170bc9d0ecbafa7e7952f9c39940dd9e93ff394b26472299dee3eb391842dd08f6eeb293489939b957ed5948df3bbc
Homepage: https://cran.r-project.org/package=MSQC
Description: CRAN Package 'MSQC' (Multivariate Statistical Quality Control)
 This is a toolkit for multivariate process monitoring. It computes several
 multivariate control charts e.g. Hotelling, Chi-squared, MEWMA, MCUSUM and
 Generalized Variance. Ten didactic datasets are included. It also contains
 some tools for assessing multivariate normality e.g. Mardia's, Royston's and
 Henze-Zirkler's tests. Please, see the NEWS file for the latest changes in
 the package.

Package: r-cran-msrdt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-reshape2, r-cran-dplyr
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-msrdt_0.1.0-1.ca2004.1_all.deb
Size: 56636
MD5sum: 64cf4373ac5b6ff27f66dbc1a8c282d3
SHA1: 763cd307543c93bbc25512b51ac7982d59552621
SHA256: 512ad7978edfa884c6922fcbd4792efa7f29c0e1f482424d390b64a275ab9f5e
SHA512: dea90c0149ace88ce4ad446684586c62bff4b413b1636037e8cc68cfa7243b6dd8a862c3d50885675802c374e726e2cd327aa6e4a80e83c782e7587feb04d049
Homepage: https://cran.r-project.org/package=MSRDT
Description: CRAN Package 'MSRDT' (Multi-State Reliability Demonstration Tests (MSRDT))
 This is a implementation of design methods for multi-state reliability
 demonstration tests (MSRDT) with failure count data, which is associated
 with the work from the published paper "Multi-state Reliability
 Demonstration Tests" by Suiyao Chen et al. (2017)
 <doi:10.1080/08982112.2017.1314493>.  It implements two types of MSRDT,
 multiple periods (MP) and multiple failure modes (MFM).  For MP, two
 different scenarios with criteria on cumulative periods (Cum) or separate
 periods (Sep) are implemented respectively.  It also provides the
 implementation of conventional design method, namely binomial tests for
 failure count data.

Package: r-cran-msspchelpr
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2548
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-sjlabelled, r-cran-stringr, r-cran-tidyselect, r-cran-tidytable, r-cran-tidyr
Suggests: r-cran-haven, r-cran-tibble, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msspchelpr_0.9.1-1.ca2004.1_all.deb
Size: 2396940
MD5sum: 98d6a5261b3e8cfbb26e237a489a0993
SHA1: 08fc4a54c0c4f9100c5b60c945d9b4433785d85f
SHA256: c60e396ec4cf357c03e1b935e56c005231858904bbcb8c3639add71886067146
SHA512: b64e2173fdc957aa743632b662cebd201873412020b550957c04e1aaf3390e614545f04fccc30a501a4eb024e9496daa19df38fd9de6f8a3f0e36383458afa1c
Homepage: https://cran.r-project.org/package=msSPChelpR
Description: CRAN Package 'msSPChelpR' (Helper Functions for Second Primary Cancer Analyses)
 A collection of helper functions for analyzing Second Primary Cancer data,
 including functions to reshape data, to calculate patient states and analyze
 cancer incidence.

Package: r-cran-mssql
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rodbc
Filename: pool/dists/focal/main/r-cran-mssql_1.0.1-1.ca2004.1_all.deb
Size: 135820
MD5sum: a4aec571769e740b342bf0f9b33cad7b
SHA1: d84171061a1057105e6c5d591a03dc92745a15f0
SHA256: 8dd2b7309831eae5891a198d5231c275f08009448361a9d9af55ba4c29f1ac27
SHA512: 6da1023415cfaf11135eee380f439ab92a3eb4e49840ab71776f24bc6a777d1cff9297136a76c838a5681118987daa84724c20efb47b0e4f0e24ac104e1a2c3b
Homepage: https://cran.r-project.org/package=MSSQL
Description: CRAN Package 'MSSQL' (Tools to Work with Microsoft SQL Server Databases via 'RODBC')
 Tools that extend the functionality of the 'RODBC' package to work with
 Microsoft SQL Server databases. Makes it easier to browse the database and
 examine individual tables and views.

Package: r-cran-mssurv
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 773
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-cran-class, r-cran-lattice
Suggests: r-cran-kmsurv, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-mssurv_1.2-2-1.ca2004.1_all.deb
Size: 589268
MD5sum: 9bebfe054f9b8b9add6bd4ca6490a12f
SHA1: 1fb81063df64c5fedb6e006bb3f0f99a4fa2ef91
SHA256: e822f3d82bf2930abdc5251e47cd5e607c81d03dfbce4f57d2eda333818fb2db
SHA512: 9da1704c1fda822899f7525fe3434ee693400b554ba397b821854a7ef9363d6c824bae2a6f8859c39e7c27b8a3f49d0b23459ff0c3c0c7193e8093c389d8418a
Homepage: https://cran.r-project.org/package=msSurv
Description: CRAN Package 'msSurv' (Nonparametric Estimation for Multistate Models)
 Nonparametric estimation for right censored, left truncated time to event
 data in multistate models.

Package: r-cran-mst
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1281
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-formula, r-cran-partykit
Filename: pool/dists/focal/main/r-cran-mst_2.2-1.ca2004.1_all.deb
Size: 1213660
MD5sum: 9da40b3a3ab4a56204e5395de37c9ab1
SHA1: abdaa2f0ca2eeae81708501bf069d71c28a8811f
SHA256: b33e10ccbc8fec6fcd00e91f16eb073975526d422483cff91e0ad14050e8855e
SHA512: c091c2655799b797ccb945ef93626c978599bdaa311063b480643cab20c95889667d7354252ff85f3ef91e8796eedc3cbf6402d05335355338094b781b18584e
Homepage: https://cran.r-project.org/package=MST
Description: CRAN Package 'MST' (Multivariate Survival Trees)
 Constructs trees for multivariate survival data using marginal and frailty
 models.  Grows, prunes, and selects the best-sized tree.

Package: r-cran-mstats
Architecture: all
Version: 3.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mstats_3.4.0-1.ca2004.1_all.deb
Size: 228948
MD5sum: 6b90805c35b545e63bb6892324643a94
SHA1: 32b15175d077888f721c4e887f6f44f2263bc760
SHA256: 4102cd9f9becfca5c0a65510172f7c63e65d6b4dbdd3c3f41726fe7c510898ec
SHA512: c83414877208af8e52ac1129b9a5490fbf02c0bd14661e8b8e89dfc5e40a021d90c258e02f8d06ab24bf9022737ef15344c4b508d1e2822b34888d487fc24750
Homepage: https://cran.r-project.org/package=mStats
Description: CRAN Package 'mStats' (Epidemiological Data Analysis)
 This is a tool for epidemiologist, medical data analyst, medical or public
 health professionals. It contains three domains of functions: 1) data
 management, 2) statistical analysis and 3) calculating epidemiological
 measures.

Package: r-cran-mstclustering
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-mstclustering_1.0.0.0-1.ca2004.1_all.deb
Size: 23952
MD5sum: b9ed795d6581f5622dbfd8fd321976d4
SHA1: d5c56bdc41f6fa3cce8f12cf3c87ac98e0f2a7ae
SHA256: 75f4f771273b3de7f903f4bdd4779ad0570a35148dd420203a1e2efe7638aff4
SHA512: 2d11d94fd9bb6d33a0b20f7fc9a3b299b8288c67580c34dd824b21b8c8c08215732d3867b69495269b6912adfb5dbd20d7e73f45eaa65e3ba97a0e1c8b7a3247
Homepage: https://cran.r-project.org/package=mstclustering
Description: CRAN Package 'mstclustering' ("MST-Based Clustering")
 Implements a minimum-spanning-tree-based heuristic for k-means clustering
 using a union-find disjoint set and the algorithm in Kruskal (1956)
 <doi:10.1090/S0002-9939-1956-0078686-7>.

Package: r-cran-mstdif
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-expm, r-cran-matrix, r-cran-pp, r-cran-mirt, r-cran-scdiftest, r-cran-erm
Suggests: r-cran-mvtnorm, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-strucchange
Filename: pool/dists/focal/main/r-cran-mstdif_0.1.8-1.ca2004.1_all.deb
Size: 147112
MD5sum: f4fcc645dbc79c0cad111cff2ed08968
SHA1: 6699eba70b4f295bc358865e657ebe4c7b1e5f2f
SHA256: 222b504c6bfa3afa8c81c4c80eeffd1f6cb9fee265658bc79095d9bc2d2a262e
SHA512: d7c5fd78ef3b5a815a29d143423a2e44e65a948fa869c8acb87d1a4f7d39dc4deaea42cb82f62ddd70f37da81775bf261908e2facb89ef13f730d3f92ab0edb0
Homepage: https://cran.r-project.org/package=mstDIF
Description: CRAN Package 'mstDIF' (A Collection of DIF Tests for Multistage Tests)
 A collection of statistical tests for the detection of differential item
 functioning (DIF) in multistage tests. Methods entail logistic regression,
 an adaptation of the simultaneous item bias test (SIBTEST), and various
 score-based tests.  The presented tests provide itemwise test for DIF along
 categorical, ordinal or metric covariates. Methods for uniform and
 non-uniform DIF effects are available depending on which method is used.

Package: r-cran-mstem
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-latex2exp
Filename: pool/dists/focal/main/r-cran-mstem_1.0-1-1.ca2004.1_all.deb
Size: 41756
MD5sum: 7b1daee342f8bd033813889bc0e0c2f9
SHA1: 1ce1db39d52f2c099abc95af2ddcfd43256efb25
SHA256: f117217221f00a8ac645fb5f59d0d77da5392b3e01d954c95c617ec8a9983151
SHA512: 39937bb3fba52cd28c2b668cd4c527ff19b6f967948733eddd041e6c6b8b661d3962929931db0863cd8632940d516162de3f211c276b6cced22bbdbe2d228164
Homepage: https://cran.r-project.org/package=mSTEM
Description: CRAN Package 'mSTEM' (Multiple Testing of Local Extrema for Detection of Change Points)
 A new approach to detect change points based on smoothing and multiple
 testing, which is for long data sequence modeled as piecewise constant
 functions plus stationary Gaussian noise, see Dan Cheng and Armin
 Schwartzman (2015) <arXiv:1504.06384>.

Package: r-cran-mstherm
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-nls2, r-cran-rcolorbrewer, r-cran-plotrix
Suggests: r-cran-rsqlite, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mstherm_0.4.7-1.ca2004.1_all.deb
Size: 207304
MD5sum: 5bf7bc4b03272913638fb3c3191e6def
SHA1: cef9a363b377c7fc79f21df8735a628131994a98
SHA256: 815eeba21a63291edcbfe6f50824841595a5fb6ddab522b0a3ff2bf44fead57f
SHA512: db2c9c864c674c25489a36a828a0a627a73050d0b442a9762e8da320d4bdad558a1a31f373bd7e891e13845e8fb9d5647b0ad1c700cced9004884c6873522468
Homepage: https://cran.r-project.org/package=mstherm
Description: CRAN Package 'mstherm' (Analyze MS/MS Protein Melting Data)
 Software to aid in modeling and analyzing mass-spectrometry-based proteome
 melting data. Quantitative data is imported and normalized and thermal
 behavior is modeled at the protein level. Methods exist for normalization,
 modeling, visualization, and export of results. For a general introduction
 to MS-based thermal profiling, see Savitski et al.  (2014)
 <doi:10.1126/science.1255784>.

Package: r-cran-mstknnclust
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mstknnclust_0.3.2-1.ca2004.1_all.deb
Size: 353304
MD5sum: a47d9c28592507de77655363ee6b89aa
SHA1: 3f80c8a41345df277fbfe98eed77f0563aa1281d
SHA256: 71cb254f4980f9a6a88a8533f8a53189e06506062391472b2c69285936c9133e
SHA512: 1160680e6fcc9613a6c03ab6703762b8b649e33b78b05c3ab1fa7edc3c130df3d542cbab1f07a5e098bbcc8ebbab7c59ab7d05d152892d43872cfa546251bd6b
Homepage: https://cran.r-project.org/package=mstknnclust
Description: CRAN Package 'mstknnclust' (MST-kNN Clustering Algorithm)
 Implements the MST-kNN clustering algorithm which was proposed by
 Inostroza-Ponta, M. (2008)
 <https://trove.nla.gov.au/work/28729389?selectedversion=NBD44634158>.

Package: r-cran-mstr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mstr_1.2-1.ca2004.1_all.deb
Size: 262432
MD5sum: 820e459fc2e61c794b28b2d91711d0ae
SHA1: 85ecdefbab447da2841d4a055db99f29420084e5
SHA256: 4a863cea5486535974fa7a15402c13222ac92afa7905ca73c1186b3a9a5896f6
SHA512: 43e815e3c0965d1909dd4307b44da67ef40f990d5cf8e640e2c6fb9609e776513e6e6e46056bce8b17403e437d01a34023a724a643294760128d5f1d55ec5130
Homepage: https://cran.r-project.org/package=mstR
Description: CRAN Package 'mstR' (Procedures to Generate Patterns under Multistage Testing)
 Generation of response patterns under dichotomous and polytomous
 computerized multistage testing (MST) framework. It holds various item
 response theory (IRT) and score-based methods to select the next module and
 estimate ability levels (Magis, Yan and von Davier (2017,
 ISBN:978-3-319-69218-0)).

Package: r-cran-mstrio
Architecture: all
Version: 11.3.5.101-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-crul, r-cran-openssl, r-cran-jsonlite, r-cran-data.table, r-cran-r6, r-cran-markdown, r-cran-rstudioapi, r-cran-shinyjs, r-cran-shiny, r-cran-vctrs
Suggests: r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mstrio_11.3.5.101-1.ca2004.1_all.deb
Size: 1069504
MD5sum: 4dd3397a31a68ef5cf3a3cf55cae5f26
SHA1: fbd726e79159f2b5846674e27ee3127b20925cc9
SHA256: 1d7a9d5eabb6133f4eb192118b2a893787ac4c5220df12538bb9880ac7cd6a2f
SHA512: 8ffd614c5c8b1d49c8b4e5f05117845408259f3f472afe9deaf1f5c90111733aed0029d18aae0d4d6a8a84554167656f94edd56f1e0031546691e8e274c4c22d
Homepage: https://cran.r-project.org/package=mstrio
Description: CRAN Package 'mstrio' (Interface for 'MicroStrategy' REST API)
 Interface for creating data sets and extracting data through the
 'MicroStrategy' REST API. Access the demo API at
 <https://demo.microstrategy.com/MicroStrategyLibrary/api-docs/index.html>.

Package: r-cran-mstudentd
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl, r-cran-mass, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mstudentd_1.1.2-1.ca2004.1_all.deb
Size: 80876
MD5sum: bb5e2da60aa4efafa6e5a78ad34e46d7
SHA1: d4de1af6a68f24ef61465074690a895bbefd76cd
SHA256: 91c58fedbf76d5fd0f5cb6394db4e3cb1d2ec09a883c51d4b2b36d0b176e2998
SHA512: 693064c7c2ed59a22656765060de7c5aa8293ad4c7e8b9e9d2d0d1c23f320b3dadbda10fd364157558da5285c477073f07ce279ee5821f125348e97419fed5fa
Homepage: https://cran.r-project.org/package=mstudentd
Description: CRAN Package 'mstudentd' (Multivariate t Distribution)
 Distance between multivariate t distributions, as presented by N. Bouhlel
 and D. Rousseau (2023) <doi:10.1109/LSP.2023.3324594>.

Package: r-cran-msu
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-entropy
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-msu_0.0.1-1.ca2004.1_all.deb
Size: 52960
MD5sum: b437cbb40610763f145bc5e616381f6b
SHA1: 1859299772e8418e42e4a6eeeb1393b74c89783a
SHA256: 5be2018bb82532a1c5aedeef4a19883c4086552d6a45092c9c5e27bd98b826d5
SHA512: 854d93cefb7ca6c60b0a1167f42ad6f65ae3cc1874bb4adc3c219ed7472b5c89bba20c8918a9961179846656017246c292e4f05650a9af116d5bde55b1cf9739
Homepage: https://cran.r-project.org/package=msu
Description: CRAN Package 'msu' (Multivariate Symmetric Uncertainty and Other Measurements)
 Estimators for multivariate symmetrical uncertainty based on the work of
 Gustavo Sosa et al. (2016) <arXiv:1709.08730>, total correlation,
 information gain and symmetrical uncertainty of categorical variables.

Package: r-cran-mswm
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 934
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-mswm_1.5-1.ca2004.1_all.deb
Size: 700860
MD5sum: e65ff27edfd3a3e7ec7eb16ac6f9674d
SHA1: 0c190cde2b369573abe1c6535aa277e66c1da7aa
SHA256: 4c39ec5f9a636a393850a996cf0ce2393c00df525d6ef8214ca36e5437c9ca34
SHA512: 96606b1a7627ca33ae375b6119e02113482c993c525b4be614d2405f8cf625cd7a70770f55f7280ca0fd011770e763d7e8527875efdafae2bdd08caa80c5788e
Homepage: https://cran.r-project.org/package=MSwM
Description: CRAN Package 'MSwM' (Fitting Markov Switching Models)
 Estimation, inference and diagnostics for Univariate Autoregressive Markov
 Switching Models for Linear and Generalized Models. Distributions for the
 series include gaussian, Poisson, binomial and gamma cases. The EM algorithm
 is used for estimation (see Perlin (2012) <doi:10.2139/ssrn.1714016>).

Package: r-cran-mt
Architecture: all
Version: 2.0-1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-class, r-cran-e1071, r-cran-randomforest, r-cran-pls, r-cran-ellipse, r-cran-lattice, r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-mt_2.0-1.20-1.ca2004.1_all.deb
Size: 2096320
MD5sum: 09180a6c9becabd443c3cb08bf9dca8c
SHA1: 2da090b1e531d82477eaabdcea6da054c5da8ec4
SHA256: fbffbfada6eec8d9cbdb38f320fce78388f5b1b76b369800a6c6b412346b8d9e
SHA512: 1db7b7f2c4d6e9900e9b3bfd21268baea3d7f1f382839dbff27a2836edf65c5e4302edc1041b619e74387e69fa4b07f7dac06b8934ed3e8aa157b47c600d420c
Homepage: https://cran.r-project.org/package=mt
Description: CRAN Package 'mt' (Metabolomics Data Analysis Toolbox)
 Functions for metabolomics data analysis: data preprocessing, orthogonal
 signal correction, PCA analysis, PCA-DA analysis, PLS-DA analysis,
 classification, feature selection, correlation analysis, data visualisation
 and re-sampling strategies.

Package: r-cran-mta
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3854
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ineq, r-cran-png, r-cran-mapsf
Filename: pool/dists/focal/main/r-cran-mta_0.6.0-1.ca2004.1_all.deb
Size: 2215792
MD5sum: 08244fffe93ec72341ae72a6e79f206e
SHA1: 03f9eb75c8efcebffbfc72470065e6d6ec4d2e18
SHA256: 8fdb299ed1e288f2e1fc9d5a64f7312f255524434c07e09d5bb8abca022cea44
SHA512: 95139f05e9d554267e358f795cdcebbba1a786d35d608b4deb6ee6c4fa32946e2a70b17846d4f55df684823bae5650d963839137090756483f26d655496d048e
Homepage: https://cran.r-project.org/package=MTA
Description: CRAN Package 'MTA' (Multiscalar Territorial Analysis)
 Build multiscalar territorial analysis based on various contexts.

Package: r-cran-mtaft
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-grpreg
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mtaft_0.1.0-1.ca2004.1_all.deb
Size: 116268
MD5sum: 7cb30af136d6550bcffebb7ad7bd1314
SHA1: 789ca37017f51524a91d08b813d8836eac45f002
SHA256: 5d780fc4d37225c0fc5d11de86a7e154bcbcde6990dda284f188defb4088ed58
SHA512: 3690b1846a7340ed567cbf9404fe98f663c4c8f6c9698f0eef06c098aeee53a3a804894ac1ee3fa854c757e593709245e9dbe22162a7e48f5b5f130a622724e1
Homepage: https://cran.r-project.org/package=MTAFT
Description: CRAN Package 'MTAFT' (Data-Driven Estimation for Multi-Threshold Accelerate FailureTime Model)
 Developed a data-driven estimation framework for the multi-threshold
 accelerate failure time (MTAFT) model. The MTAFT model features different
 linear forms in different subdomains, and one of the major challenges is
 determining the number of threshold effects. The package introduces a
 data-driven approach that utilizes a Schwarz' information criterion, which
 demonstrates consistency under mild conditions. Additionally, a
 cross-validation (CV) criterion with an order-preserved sample-splitting
 scheme is proposed to achieve consistent estimation, without the need for
 additional parameters. The package establishes the asymptotic properties of
 the parameter estimates and includes an efficient score-type test to examine
 the existence of threshold effects. The methodologies are supported by
 numerical experiments and theoretical results, showcasing their reliable
 performance in finite-sample cases.

Package: r-cran-mtanan
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mtanan_0.0.1-1.ca2004.1_all.deb
Size: 20564
MD5sum: 700a70c8835d001108a38ad310a82656
SHA1: 62a34006865fb964110dbd43c64f610a10fb5214
SHA256: 1ff8cbbbe08bbd7c205c78fa04804a4705cfde8bfeeef7a2339f40aa00a12b1b
SHA512: 70dee1d95620099204e462ab2b8678bd0236d3b4c22de6dc234e7bbdf83a8099e35ea0e9699861e788bff936bceac5672ba390e87ba94725404965b77175b5fe
Homepage: https://cran.r-project.org/package=mtanan
Description: CRAN Package 'mtanan' (Single Valued Neutrosophic Kruskal-Wallis and Mann Whitney Tests)
 Dealing with neutrosophic data in single valued form using score, accuracy
 and certainty functions to calculate ranks of Single Valued Neutrosophic Set
 (SVNS), also to calculate the Mann-Whitney test, and making a post-hoc test
 after rejecting the null hypothesis using the Neutrosophic Statistics
 Kruskal-Wallis test. For more information see Miari, Mahmoud; Anan, Mohamad
 Taher; Zeina, Mohamed Bisher(2022)
 <https://digitalrepository.unm.edu/nss_journal/vol51/iss1/60/>.

Package: r-cran-mtar
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 956
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-mass, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mtar_0.1.1-1.ca2004.1_all.deb
Size: 746736
MD5sum: 4f1797d5157698ecf2a9bbd33b217ff7
SHA1: 87b435be1ba2509388f5e39b280427388420a76c
SHA256: 2c911441bd23544ebff55b0cbecf1e33e98d2fbda229583c97c5eb62aba78b9f
SHA512: 0e95bbfeaa3e714cd5fc00a12ba7e488020e5e56d2cd9d774ebc3ccddec94a3137d4a23996c564eef053b2ad4fe7b577e6ca532a4b629344532c21b29544c678
Homepage: https://cran.r-project.org/package=MTAR
Description: CRAN Package 'MTAR' (Multi-Trait Analysis of Rare-Variant Association Study)
 Perform multi-trait rare-variant association tests using the summary
 statistics and adjust for possible sample overlap. Package is based on
 "Multi-Trait Analysis of Rare-Variant Association Summary Statistics using
 MTAR" by Luo, L., Shen, J., Zhang, H., Chhibber, A. Mehrotra, D.V., Tang,
 Z., 2019 (submitted).

Package: r-cran-mtarm
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-formula, r-cran-gigrvg, r-cran-coda, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-mtarm_0.1.5-1.ca2004.1_all.deb
Size: 207396
MD5sum: e58ffb8d31b5cf540c166be733799ecd
SHA1: aefe5912d46f667001309ef5e6765755c411798b
SHA256: 9a48761521b4810c94a95ca5f9a42ff3ef90a3af47674e1fa92fe49f65fe26eb
SHA512: 416c8e7106cd3a56a090ece43129238dccd757e4989cb62c57f0ad0545c7f59d96db090d7ef515cfcafb6b1882e859a65d7e8728931948be062cd73b6138b1bd
Homepage: https://cran.r-project.org/package=mtarm
Description: CRAN Package 'mtarm' (Bayesian Estimation of Multivariate Threshold AutoregressiveModels)
 Estimation, inference and forecasting using the Bayesian approach for
 multivariate threshold autoregressive (TAR) models in which the distribution
 used to describe the noise process belongs to the class of Gaussian variance
 mixtures.

Package: r-cran-mtb
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 875
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-ggplot2, r-cran-scales, r-cran-data.table, r-cran-labeling
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mtb_0.1.9-1.ca2004.1_all.deb
Size: 567800
MD5sum: 02eb2bab1f6a8fb816dc7c669d495b91
SHA1: 977f50f8dd2442b3873c1ac945567fe784b11671
SHA256: 03128d098968d82bbdba49cb8b7a70b12e74223b5a2c1c49bae9f208ce832d9c
SHA512: e93c59bd1937deef40547ce90c57c08015ced1928ea8f5c5bc6fe2e9e9934219e29aa69b510d3cc92a3fdde3600119badfbf168e9333cd421721b21c64b06962
Homepage: https://cran.r-project.org/package=mtb
Description: CRAN Package 'mtb' (My Toolbox for Assisting Document Editing and Data Presenting)
 The purpose of this package is to share a collection of functions the author
 wrote during weekends for managing kitchen and garden tasks, e.g. making
 plant growth charts or Thanksgiving kitchen schedule charts, etc.  Functions
 might include but not limited to: (1) aiding summarizing time related data;
 (2) generating axis transformation from data; and (3) aiding Markdown (with
 html output) and Shiny file editing.

Package: r-cran-mtconnectr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 952
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-xml, r-cran-stringr, r-cran-plyr, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-lubridate, r-cran-tidyr, r-cran-dtw, r-cran-proxy
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-mtconnectr_1.2.1-1.ca2004.1_all.deb
Size: 625716
MD5sum: 66d0e76e0cf0dd8b8aae685bcd46038c
SHA1: 973881e0b569978e9f9d2cc9900d0188948a4db1
SHA256: 260dc0312edae29354c6effebe8c564d4690f51c952be25e537ed756acd985ff
SHA512: 63cdafd7ba50c3964ee6532de541a4d0beccbd431d8aed5c8aff54a138667802794607258a8bf23125ab4f48d576b7eed9fe570c38ced3a4611118f0430582c7
Homepage: https://cran.r-project.org/package=mtconnectR
Description: CRAN Package 'mtconnectR' (Read Data from Delimited 'MTConnect' Data Files and Perform someAnalysis)
 Read data in the 'MTConnect'<http://www.mtconnect.org/> standard.  You can
 use the package to read data from historical 'MTConnect logs' along with the
 'devices.xml' describing the device. The data is organised into a
 'MTConnectDevice' S4 data structure and some convenience methods are also
 provided for basic read/view operations.  The package also includes some
 functions for analysis of 'MTConnect' data. This includes functions to
 simulate data (primarily position data, feed rate and velocities) based on
 the G code and visualisation functions to compare the actual and simulated
 data.

Package: r-cran-mtdrh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2204
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mtdrh_0.1.0-1.ca2004.1_all.deb
Size: 2206952
MD5sum: cfa6a26c5b4b8e23cde9862455f50d21
SHA1: 402cfaf5707dc9018c8b3afe354c3c6aa9a549a8
SHA256: 217b2a1a520cfc0a275b081848fad2a0e2381872d9531207a213b36e0cf382fa
SHA512: abeef701f0803a9a08927bde8f939b892ee7ef9d1ac7b702ef792b8609979a49044c3043b106a147d7b46e3f8966b49cd59303f4468fe3dfaa1d70c7e17ac901
Homepage: https://cran.r-project.org/package=MTDrh
Description: CRAN Package 'MTDrh' (Mass Transportation Distance Rank Histogram)
 The Mass Transportation Distance rank histogram was developed to assess the
 reliability of scenarios with equal or different probabilities of occurrence
 <doi:10.1002/we.1872>.

Package: r-cran-mte
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-quantreg, r-cran-glmnet, r-cran-rqpen
Filename: pool/dists/focal/main/r-cran-mte_1.2.1-1.ca2004.1_all.deb
Size: 51676
MD5sum: f58ad1ff3701f64119e39951e66ad39b
SHA1: 0149605232021204de60c07075442ed78f4c602a
SHA256: 8435e8de181ecedac4934abf75ab40d9757d367dd82e077f3d665922ca79dd36
SHA512: 13dee2e66f0f2868b0a74b06a94962b20a07cd3e54437be358032e88e58f8df9605c871e4720780b18375dd242b3eeccffe59b34d16f1cfa3f9096dd9f81e28d
Homepage: https://cran.r-project.org/package=MTE
Description: CRAN Package 'MTE' (Maximum Tangent Likelihood Estimation for Robust LinearRegression and Variable Selection)
 Several robust estimators for linear regression and variable selection are
 provided.  Included are Maximum tangent likelihood estimator by Qin, et al.,
 (2017), arXiv preprint <doi:10.48550/arXiv.1708.05439>, least absolute
 deviance estimator and Huber regression. The penalized version of each of
 these estimator incorporates L1 penalty function, i.e., LASSO and Adaptive
 Lasso. They are able to produce consistent estimates for both fixed and
 high-dimensional settings.

Package: r-cran-mtest
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-mtest_1.0.2-1.ca2004.1_all.deb
Size: 339160
MD5sum: 73b1eb7c3b72dff93300a977a3dc2edc
SHA1: ef5df145c106b66cf185765000cc17a2706332f8
SHA256: 4edc8e607abd900d813896cccec936642841a70932aaa05a2a2b5beb38d84d9b
SHA512: 4909a5b23ea022830fcc06923a0a4f9295a0c5badf5a1f65998a7f5fb8e22ea109750abe07223a5c356cf412b96a1e5a495e4a77d2cc168cb65312dc6f153748
Homepage: https://cran.r-project.org/package=MTest
Description: CRAN Package 'MTest' (A Procedure for Multicollinearity Testing using Bootstrap)
 Functions for detecting multicollinearity. This test gives statistical
 support to two of the most famous methods for detecting multicollinearity in
 applied work: Klein’s rule and Variance Inflation Factor (VIF). See the URL
 for the papers associated with this package, as for instance, Morales-Oñate
 and Morales-Oñate (2015) <doi:10.33333/rp.vol51n2.05>.

Package: r-cran-mthapower
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-car
Filename: pool/dists/focal/main/r-cran-mthapower_0.1.1-1.ca2004.1_all.deb
Size: 131672
MD5sum: fb1ee5863bd66e70d26aebf6f215bb4d
SHA1: 3271fcc0feac7082858af9f22253a9d48bf6a0c5
SHA256: dfe479e63067eb174455bc7499535ec4d73cd0db803292d266ef935348db0b57
SHA512: 207e35fc1530e830167a87301fb81061d02bd8fc6c87a8fa8e00267e3c1cc41be0b063fc0010f8a9b99d996fe63d279bfcdc756f00cb2ffd1fbf1547412dc60d
Homepage: https://cran.r-project.org/package=mthapower
Description: CRAN Package 'mthapower' (Sample Size and Power for Association Studies InvolvingMitochondrial DNA Haplogroups)
 Calculate Sample Size and Power for Association Studies Involving
 Mitochondrial DNA Haplogroups.  Based on formulae by Samuels et al. AJHG,
 2006. 78(4):713-720. <DOI:10.1086/502682>.

Package: r-cran-mtk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2589
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-xml, r-cran-sensitivity, r-cran-lhs, r-cran-rgl
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-mtk_1.0-1.ca2004.1_all.deb
Size: 1419008
MD5sum: c7491553a6b6dc8e8818768fa544641e
SHA1: f659dffb92573c5072149bce98d8950fd75cd8f1
SHA256: 69c132103fa14adc2875793aa18d62115dde286340fdfe94312a0d4386b67128
SHA512: 2ee3a148001c4bc30b2435159bc7ec256c55b27a06ca626e956017d3fba55395b67c06f8da9e3b991da79703abf999230d214bd61f18a86aedeb933f2c3bf0dc
Homepage: https://cran.r-project.org/package=mtk
Description: CRAN Package 'mtk' (Mexico ToolKit library (MTK))
 MTK (Mexico ToolKit) is a generic platform for the sensitivity and
 uncertainty analysis of complex models. It provides functions and facilities
 for experimental design, model simulation, sensitivity and uncertainty
 analysis, methods integration and data reporting, etc.

Package: r-cran-mtlgmm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-caret, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-mtlgmm_0.1.0-1.ca2004.1_all.deb
Size: 109292
MD5sum: b78473b28c16e00704c72da75134a576
SHA1: ffcd59c7f11a32e36a09f274be76cf1eb5ced44d
SHA256: 57d13f5f05d093b5dd6a30bac3c255f9b14727c615423824da92a58fe94afd83
SHA512: 356bf519bafa1e90103c7b17c26e2f474788cc12da96efd3328d2072eda5053ef73ee0c1ace8a2862e88b7918375eeede56dd2a726cf11ec88d6c346c6b20e98
Homepage: https://cran.r-project.org/package=mtlgmm
Description: CRAN Package 'mtlgmm' (Unsupervised Multi-Task and Transfer Learning on GaussianMixture Models)
 Unsupervised learning has been widely used in many real-world applications.
 One of the simplest and most important unsupervised learning models is the
 Gaussian mixture model (GMM). In this work, we study the multi-task learning
 problem on GMMs, which aims to leverage potentially similar GMM parameter
 structures among tasks to obtain improved learning performance compared to
 single-task learning. We propose a multi-task GMM learning procedure based
 on the Expectation-Maximization (EM) algorithm that not only can effectively
 utilize unknown similarity between related tasks but is also robust against
 a fraction of outlier tasks from arbitrary sources. The proposed procedure
 is shown to achieve minimax optimal rate of convergence for both parameter
 estimation error and the excess mis-clustering error, in a wide range of
 regimes. Moreover, we generalize our approach to tackle the problem of
 transfer learning for GMMs, where similar theoretical results are derived.
 Finally, we demonstrate the effectiveness of our methods through simulations
 and a real data analysis. To the best of our knowledge, this is the first
 work studying multi-task and transfer learning on GMMs with theoretical
 guarantees. This package implements the algorithms proposed in Tian, Y.,
 Weng, H., & Feng, Y. (2022) <arXiv:2209.15224>.

Package: r-cran-mtps
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-rpart, r-cran-mass, r-cran-e1071, r-cran-class
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-mtps_1.0.2-1.ca2004.1_all.deb
Size: 246300
MD5sum: 4d7d7e6a89c49692aa20acf7bac2feaf
SHA1: 66a576b2467071fce63fbd2c7eb7b49bd935a046
SHA256: 2c4189d28f177e0f2001d819d58527c6420dcf4f6c5e0ba942f280201746278b
SHA512: b454df0cfbf49a711fc30433f494a60b39ca029a40d2345552a158ad4637115969991aef7f488a0efe33617c647896a66a3e6b0f89b1dbcc44e87c551b2e4c23
Homepage: https://cran.r-project.org/package=MTPS
Description: CRAN Package 'MTPS' (Multi-Task Prediction using Stacking Algorithms)
 Simultaneous multiple outcomes prediction based on revised stacking
 algorithms, which enables the integration of information from predictions of
 individual models. An implementation of methodologies proposed in our paper:
 Li Xing, Mary L Lesperance, Xuekui Zhang. (2019) Bioinformatics,
 "Simultaneous prediction of multiple outcomes using revised stacking
 algorithms" <doi:10.1093/bioinformatics/btz531>.

Package: r-cran-mtrank
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-meta, r-cran-netmeta, r-cran-plackettluce, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mtrank_0.2-0-1.ca2004.1_all.deb
Size: 198716
MD5sum: 62e8d496ce4065f611d11e7c6c8dcd77
SHA1: e358094c4cc56380dbad717c1f85b202be09297b
SHA256: 120a81702646c78cc2a011ceb212cda7eeb8040224ae740e1d768072b539874f
SHA512: 9b2fff3de1b62f491c77ef81f08b4c3189b76fe6dac9ee1bcd2ab91f53de1288de6d89f400f29f8690107b1758ac8aba1a8074fb6d176135ed62126ee5174fcb
Homepage: https://cran.r-project.org/package=mtrank
Description: CRAN Package 'mtrank' (Ranking using Probabilistic Models and Treatment Choice Criteria)
 Estimation of treatment hierarchies in network meta-analysis using a novel
 frequentist approach based on treatment choice criteria (TCC) and
 probabilistic ranking models, as described by Evrenoglou et al. (2024)
 <DOI:10.48550/arXiv.2406.10612>. The TCC are defined using a rule based on
 the smallest worthwhile difference (SWD). Using the defined TCC, the NMA
 estimates (i.e., treatment effects and standard errors) are first
 transformed into treatment preferences, indicating either a treatment
 preference (e.g., treatment A > treatment B) or a tie (treatment A =
 treatment B). These treatment preferences are then synthesized using a
 probabilistic ranking model, which estimates the latent ability parameter of
 each treatment and produces the final treatment hierarchy. This parameter
 represents each treatments ability to outperform all the other competing
 treatments in the network. Here the terms ability to outperform indicates
 the propensity of each treatment to yield clinically important and
 beneficial effects when compared to all the other treatments in the network.
 Consequently, larger ability estimates indicate higher positions in the
 ranking list.

Package: r-cran-mtreering
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2955
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-png, r-cran-jpeg, r-cran-tiff, r-cran-bmp, r-cran-magick, r-cran-imager, r-cran-dplr, r-cran-spatstat.geom, r-cran-measuring, r-cran-shiny, r-cran-dplyr, r-cran-shinydashboard, r-cran-shinywidgets
Suggests: r-cran-testthat, r-cran-knitr, r-cran-shinytest, r-cran-mockery, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-mtreering_1.4.5-1.ca2004.1_all.deb
Size: 2888672
MD5sum: 0b347e2a0ba54c0bcf1a96c78eb1fc03
SHA1: 36c356a7b7b964a3c1484ed360178ad0644b3ee1
SHA256: 2f481fe531f99ee095f22f0a0ced9de6f26c1741248be18ec3506d86126808a8
SHA512: b13e8ff7597e28a64f2020adbcbb7cc060e928655cc5f8c1b4d150534c420153928517a89653a42f0ad74cf20993ab7d99519e7ea2239317c77e17406bafed9d
Homepage: https://cran.r-project.org/package=MtreeRing
Description: CRAN Package 'MtreeRing' (A Shiny Application for Automatic Measurements of Tree-RingWidths on Digital Images)
 Use morphological image processing and edge detection algorithms to
 automatically measure tree ring widths on digital images. Users can also
 manually mark tree rings on species with complex anatomical structures. The
 arcs of inner-rings and angles of successive inclined ring boundaries are
 used to correct ring-width series. The package provides a Shiny-based
 application, allowing R beginners to easily analyze tree ring images and
 export ring-width series in standard file formats.

Package: r-cran-mtscr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom.mixed, r-cran-cli, r-cran-dplyr, r-cran-glmmtmb, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-shiny, r-cran-covr, r-cran-datamods, r-cran-dt, r-cran-roxygen2, r-cran-shinywidgets, r-cran-testthat, r-cran-withr, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-mtscr_1.0.2-1.ca2004.1_all.deb
Size: 123540
MD5sum: 97913c96483e94b20f0aba13a5f3712d
SHA1: db9b7e36dd8e0b6c8dd0f52dea73355de6902f71
SHA256: 58a7e0cd24ce2c2d28864f86b73e98b80abda473da30fa718610ab77100aae2a
SHA512: 9c2684a81f7580be9699af1d6055d8426a48772bc8ff4afb5c07ed11d490406b1e02acb3183b474202f88f5e14001a766f778ac0b7dfb4277e0dceea98adfa35
Homepage: https://cran.r-project.org/package=mtscr
Description: CRAN Package 'mtscr' (Multidimensional Top Scoring for Creativity Research)
 Implementation of Multidimensional Top Scoring method for creativity
 assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty
 (2023) <doi:10.1037/aca0000571>.

Package: r-cran-mtsdi
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gam
Filename: pool/dists/focal/main/r-cran-mtsdi_0.3.7-1.ca2004.1_all.deb
Size: 95680
MD5sum: 4bc07d14e92aa117a375f28bd0e7d393
SHA1: b3a006b8303d8a1546fcd17055509bd11c75aa1d
SHA256: 135b88ce8a7d36b33017d49349cdf7446a2d5afa194c089f00613a06364d77d3
SHA512: e80ca88d6a312317f2228a770104a072d980658a969b6d41b14285908cdd8ae2b9fc5d5cec65844b91271207ba7217ce789b0e59266d61621f75730e51e5b19f
Homepage: https://cran.r-project.org/package=mtsdi
Description: CRAN Package 'mtsdi' (Multivariate Time Series Data Imputation)
 This is an EM algorithm based method for imputation of missing values in
 multivariate normal time series. The imputation algorithm accounts for both
 spatial and temporal correlation structures. Temporal patterns can be
 modeled using an ARIMA(p,d,q), optionally with seasonal components, a
 non-parametric cubic spline or generalized additive models with exogenous
 covariates. This algorithm is specially tailored for climate data with
 missing measurements from several monitors along a given region.

Package: r-cran-mtsta
Architecture: all
Version: 0.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 839
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-janitor, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-mtsta_0.0.0.1-1.ca2004.1_all.deb
Size: 784516
MD5sum: f9e4e16c080947fa5d78663bb89f8b2b
SHA1: 20cea240d8d02626cf10ff6ce2c5cfc5b588dcd3
SHA256: 3212221640eb427dc509f8fb01a5074b42b4b34eba7409626f3b5e7ad337ebec
SHA512: 86fd68a94e1ad5b3084c40aecd12ced65f9e2077e84049f8e452ffae46654506170305f6360a57219ab3ed9c33d9c4797b6825678d7b0d272fa8987c7b1b5793
Homepage: https://cran.r-project.org/package=mtsta
Description: CRAN Package 'mtsta' (Accessing the Red List of Montane Tree Species of the TropicalAndes)
 Access the 'Red List of Montane Tree Species of the Tropical Andes' Tejedor
 Garavito et al.(2014, ISBN:978-1-905164-60-8). This package allows users to
 search for globally threatened tree species within the andean montane
 forests, including cloud forests and seasonal (wet) forests above 1500 m
 a.s.l.

Package: r-cran-mtsys
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mtsys_1.2.0-1.ca2004.1_all.deb
Size: 129356
MD5sum: b370606ddddb7201fd286456830751bd
SHA1: b322eb5a3b4ba753e840e0df553731f9d4b8b481
SHA256: 3dc66176de2a47ada16895407a565555a2a712d3f358f7f00e7ae5e7a6ff8d31
SHA512: 4cb1de8ddcd29a26fbe514d8715b6ebaaac1a64a6ba13d968bd6ea62d0f270730a897ff72466224cdbffaded71231ecbda575808852901789af9e0759e48c723
Homepage: https://cran.r-project.org/package=MTSYS
Description: CRAN Package 'MTSYS' (Methods in Mahalanobis-Taguchi (MT) System)
 Mahalanobis-Taguchi (MT) system is a collection of multivariate analysis
 methods developed for the field of quality engineering. MT system consists
 of two families depending on their purpose. One is a family of
 Mahalanobis-Taguchi (MT) methods (in the broad sense) for diagnosis (see
 Woodall, W. H., Koudelik, R., Tsui, K. L., Kim, S. B., Stoumbos, Z. G., and
 Carvounis, C. P. (2003) <doi:10.1198/004017002188618626>) and the other is a
 family of Taguchi (T) methods for forecasting (see Kawada, H., and Nagata,
 Y.  (2015) <doi:10.17929/tqs.1.12>). The MT package contains three basic
 methods for the family of MT methods and one basic method for the family of
 T methods. The MT method (in the narrow sense), the Mahalanobis-Taguchi
 Adjoint (MTA) methods, and the Recognition-Taguchi (RT) method are for the
 MT method and the two-sided Taguchi (T1) method is for the family of T
 methods. In addition, the Ta and Tb methods, which are the improved versions
 of the T1 method, are included.

Package: r-cran-mtvc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mtvc_1.1.0-1.ca2004.1_all.deb
Size: 22848
MD5sum: 892b008aa4e4c1dd04d794a3104bd0a0
SHA1: 8479f3e21613252b113c75be789be3c5da960adf
SHA256: cd9e5b242a4516b100cc774dd4d8540a92847c25505d06601c13272e83d874af
SHA512: b1b082a5115029664f81afdd52c7fef96e036a884641a33dc33124773019babe40c866356eafe3919e97cc66a70c5f9322253ac0b521677b915de6f15f994cf7
Homepage: https://cran.r-project.org/package=mtvc
Description: CRAN Package 'mtvc' (Multiple Counting Process Structure for Survival Analysis)
 Counting process structure is fundamental to model time varying covariates.
 This package restructures dataframes in the counting process format for one
 or more variables.  F. W. Dekker, et al. (2008) <doi:10.1038/ki.2008.328>.

Package: r-cran-muacz
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-epidisplay, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-muacz_2.1.0-1.ca2004.1_all.deb
Size: 176024
MD5sum: bbfbc415f0fa0d7c78ca4e804f2ec47b
SHA1: 3a73f274adfae8a531e61b68eb38dcda43375ace
SHA256: ab23a865bc40c8f48eb662af13bc2732cb83a36f1a9c81cb68716f3eca0466ea
SHA512: 78a5226c1aee118392132586925b24996d4c0814368e8b70a4b3b7b96ec9871326471e49a7dc04179cbabcb3a306884316ec00ef87e6451fe81dd6e91be02621
Homepage: https://cran.r-project.org/package=MUACz
Description: CRAN Package 'MUACz' (Generate MUAC and BMI z-Scores and Percentiles for Children andAdolescents)
 Generates mid upper arm circumference (MUAC) and body mass index (BMI) for
 age z-scores and percentiles based on LMS method for children and
 adolescents up to 19 years that can be used to assess nutritional and health
 status and define risk of adverse health events.

Package: r-cran-muckrock
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2486
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-muckrock_0.1.0-1.ca2004.1_all.deb
Size: 2492516
MD5sum: a217291122ea974ccedeeb40fcffbb3d
SHA1: 23eddd1ccab450caaf85bd79d31a27b682626f06
SHA256: 8a3b365416e53c39fb4ef4e4355d25c09d9ba21a397012a84391f48b0e55a4a4
SHA512: b1d68e93d6b20c2c5146c84ba7ed4cf6e2293d5ac6781c0aaac854fb97b7e0ff96c15e5b7df6b0653f7681ce8dd3ba8d81967505d781a65584b4801b1ae79970
Homepage: https://cran.r-project.org/package=muckrock
Description: CRAN Package 'muckrock' (Data on Freedom of Information Act Requests)
 A data package containing public domain information on requests made by the
 'MuckRock' (https://www.muckrock.com/) project under the United States
 Freedom of Information Act.

Package: r-cran-mudata2
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 849
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-tibble, r-cran-magrittr, r-cran-stringr, r-cran-readr, r-cran-tidyr, r-cran-lubridate, r-cran-rlang, r-cran-tidyselect, r-cran-withr, r-cran-glue, r-cran-fs
Suggests: r-cran-testthat, r-cran-sf, r-cran-covr, r-cran-hms, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mudata2_1.1.3-1.ca2004.1_all.deb
Size: 625880
MD5sum: a628e25afb66ab1e90dde5bcfaa5301f
SHA1: 1af7d7a54c2fcb1a67e128fc6f08db73cb023cea
SHA256: 48a60e629ca3531039c18acdce98af595d5dd4c71cea95b62da5db52a091481f
SHA512: bb6b37bd746c430407a276a139411500212f4b50a8ed727629d63981ec526f4b75a642b5ff661829ffc4e74be6691475fc137e8912255e7bfadc07b93c1061f9
Homepage: https://cran.r-project.org/package=mudata2
Description: CRAN Package 'mudata2' (Interchange Tools for Multi-Parameter Spatiotemporal Data)
 Formatting and structuring multi-parameter spatiotemporal data is often a
 time-consuming task. This package offers functions and data structures
 designed to easily organize and visualize these data for applications in
 geology, paleolimnology, dendrochronology, and paleoclimate. See Dunnington
 and Spooner (2018) <doi:10.1139/facets-2017-0026>.

Package: r-cran-mudfold
Architecture: all
Version: 1.1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-glmnet, r-cran-mgcv, r-cran-ggplot2, r-cran-zoo, r-cran-reshape2, r-cran-broom, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-mudfold_1.1.21-1.ca2004.1_all.deb
Size: 393916
MD5sum: 0b756849079ff6f376b0b236995fa844
SHA1: a8af06bbfbb795c7da93ebe8ead5e65948471e78
SHA256: c0c03d8e3278817e4ce0d1a0efc77f3689624906451407185957bba16180d77d
SHA512: f653d749fde33b51be2ff3f2e8237bfb424877b5a04c04f6dfe70497be0340e61dc640c28803714813f2a308e6c1a2f88d27ca150c3d4e1cb4fc2c7e6c5a6d86
Homepage: https://cran.r-project.org/package=mudfold
Description: CRAN Package 'mudfold' (Multiple UniDimensional unFOLDing)
 Nonparametric unfolding item response theory (IRT) model for dichotomous
 data (see W.H. Van Schuur (1984). Structure in Political Beliefs: A New
 Model for Stochastic Unfolding with Application to European Party Activists,
 and W.J.Post (1992). Nonparametric Unfolding Models: A Latent Structure
 Approach). The package implements MUDFOLD (Multiple UniDimensional
 unFOLDing), an iterative item selection algorithm that constructs unfolding
 scales from dichotomous preferential-choice data without explicitly assuming
 a parametric form of the item response functions. Scale diagnostics from
 Post(1992) and estimates for the person locations proposed by Johnson(2006)
 and Van Schuur(1984) are also available. This model can be seen as the
 unfolding variant of Mokken(1971) scaling method.

Package: r-cran-muerelativerisk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-muerelativerisk_0.1.1-1.ca2004.1_all.deb
Size: 21892
MD5sum: 36f101228b74a2c0a2dcd927ef187ec9
SHA1: 3aa83150aea6dafa2ab14d9331ad11aa9e104909
SHA256: a52d71fd0e466ae965ecea6f1c4e59c0dbd993e93400a3ef5fc177aa593add77
SHA512: 185f63036dbce6bc72cb06e908ce14494402718e32fc6318390cce0acf9d51895e2391dd05066f966ff24c07e2067717bfb0cdec77d922bb305629c259f97aff
Homepage: https://cran.r-project.org/package=mueRelativeRisk
Description: CRAN Package 'mueRelativeRisk' (Relative Risk Based on the Ratio of Median Unbiased Estimates)
 Implements an estimator for relative risk based on the median unbiased
 estimator. The relative risk estimator is well defined and performs
 satisfactorily for a wide range of data configurations. The details of the
 method are available in Carter et al (2010)
 <doi:10.1111/j.1467-9876.2010.00711.x>.

Package: r-cran-muficokriging
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dicekriging
Suggests: r-cran-rgenoud
Filename: pool/dists/focal/main/r-cran-muficokriging_1.2-1.ca2004.1_all.deb
Size: 116652
MD5sum: 5c8e79c343c8d07cf75c0a96a892ce7d
SHA1: 07fad1456be6dd5bae569d8a52d25b775d6847f7
SHA256: 909de20317c185674c6010c358a17ed7d8441c11728ca8c1e2cf6ea3dcb1ffb9
SHA512: 59106597d2fbff50b92aac63d4fbcd5709709cd67f33296b06f4b061ffb86dc5520ba7acea4f8980b6ac58ed2df9521c4bcc1125eb156c293e2be0cf9b71bce1
Homepage: https://cran.r-project.org/package=MuFiCokriging
Description: CRAN Package 'MuFiCokriging' (Multi-Fidelity Cokriging models)
 This package builds multi-fidelity cokriging models from responses with
 different levels of fidelity.  Important functions : MuFicokm,
 predict.MuFicokm, summary.MuFicokm.

Package: r-cran-mugs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-fastdummies, r-cran-dosnow, r-cran-dplyr, r-cran-grplasso, r-cran-foreach, r-cran-glmnet, r-cran-grpreg, r-cran-inline, r-cran-mvtnorm, r-cran-proc, r-cran-rcpparmadillo, r-cran-rsvd
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mugs_0.1.0-1.ca2004.1_all.deb
Size: 540040
MD5sum: 47bb9b752bfab1dde192255dd5c82ae2
SHA1: 45c8721381bbad81b74d49d295486fc4feb03e9c
SHA256: e5be2958c0c8ae4f848db1a605fefbee9cf670376fd9f7290b6c0aa49ac3a7de
SHA512: 8d64af888ea831259f7fc26d6ba7aa0d7ed86f315ba4e2583b153b586cd19d71c233dac72b9f99d30d3367728c69dcfc8b0898e796f7af7c8fc52630ff01331c
Homepage: https://cran.r-project.org/package=MUGS
Description: CRAN Package 'MUGS' (Multisource Graph Synthesis with EHR Data)
 We develop Multi-source Graph Synthesis (MUGS), an algorithm designed to
 create embeddings for pediatric Electronic Health Record (EHR) codes by
 leveraging graphical information from three distinct sources: (1) pediatric
 EHR data, (2) EHR data from the general patient population, and (3) existing
 hierarchical medical ontology knowledge shared across different patient
 populations.  See Li et al. (2024) <doi:10.1038/s41746-024-01320-4> for
 details.

Package: r-cran-muhvt
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-deldir, r-cran-splancs, r-cran-sp, r-cran-conf.design, r-cran-hmisc, r-cran-dplyr, r-cran-purrr, r-cran-magrittr, r-cran-polyclip, r-cran-rgeos, r-cran-ggplot2, r-cran-tidyr, r-cran-scales, r-cran-cluster, r-cran-reshape2, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-geozoo, r-cran-kableextra, r-cran-plotly, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-muhvt_3.0.0-1.ca2004.1_all.deb
Size: 256724
MD5sum: ac53c7306ae3fcc74e4ac2d3dc004cc9
SHA1: 7a0128c56fadeafc9b6ac04e75760eb8b85e23b0
SHA256: ea965b61f5fe3fffaa07f40958856599845e05b42f13ccfcc07ea2f6065e3d83
SHA512: 4aaaaaccc1c8c579272d5e8a9d41739b7b118f25e01678503ad051ba035e5bd14be4b218589cbbc12360d8c2f16a558b9ba7be90e4510b5deeaf747acf4ae738
Homepage: https://cran.r-project.org/package=muHVT
Description: CRAN Package 'muHVT' (Constructing Hierarchical Voronoi Tessellations and OverlayHeatmap for Data Analysis)
 The muHVT package is a collection of R functions to facilitate building
 topology preserving maps for rich multivariate data.See
 <https://en.wikipedia.org/wiki/Voronoi_diagram> for more information.
 Credits to Mu Sigma for their continuous support throughout the development
 of the package.

Package: r-cran-muir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagrammer, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-muir_0.1.0-1.ca2004.1_all.deb
Size: 43776
MD5sum: e19da5a7538767a35f2230537e9161a4
SHA1: 508b8e2243981d054e7714930d9a6a6c7aa50840
SHA256: 0b390ee45d8b9c2dfdda8a1a57c49bf17bfcae8cff1e341e634a30465e53ef13
SHA512: d8ea24ece4c3dade434f7a577a9de5262fa275042eebd6a531db56b52b457d5b5683ec283caf6957bbb60833d153d57b0d8b145b416e96b51840e63f83edbe43
Homepage: https://cran.r-project.org/package=muir
Description: CRAN Package 'muir' (Exploring Data with Tree Data Structures)
 A simple tool allowing users to easily and dynamically explore or document a
 data set using a tree structure.

Package: r-cran-mulgar
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4032
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geozoo, r-cran-tibble, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-purrr
Suggests: r-cran-tourr, r-cran-ggdendro, r-cran-colorspace, r-cran-mclust, r-cran-kohonen, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-mulgar_1.0.5-1.ca2004.1_all.deb
Size: 4060876
MD5sum: 8177555cb011206dfa8426bbed48302b
SHA1: 42c1b5338c17fc7f62bc0f08e3b94305549db3da
SHA256: d6e313787d953dc2cdd53a094b17d7ed4e4bb285a4058a08af2068cd654b0120
SHA512: 21190a5de8d5b494fc04ceaca0792239ca94e53b200862145c59a099ef424c125b7234eaa133d1ebfd664d1f2f0f3cb655ebec84ae8125a50f05c9d6b5dfdc0e
Homepage: https://cran.r-project.org/package=mulgar
Description: CRAN Package 'mulgar' (Functions for Pre-Processing Data for Multivariate DataVisualisation using Tours)
 This is a companion to the book Cook, D. and Laa, U. (2023)
 <https://dicook.github.io/mulgar_book/> "Interactively exploring
 high-dimensional data and models in R".  by Cook and Laa. It contains useful
 functions for processing data in preparation for visualising with a tour.
 There are also several sample data sets.

Package: r-cran-mullerplot
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mullerplot_0.1.3-1.ca2004.1_all.deb
Size: 236408
MD5sum: 1a5e5aa5d69e915bad22b3e9df76b7dd
SHA1: 8835996d8a27851b6bd2ebb81204756e30063570
SHA256: 2a9beaf66d5959bd36796f27b71871d54d2b8cec880a4742d420f42af8ab4c22
SHA512: 092c5e8de0abfd1db53f400070813e99b62f4d58f44eb6c9da3db3a43b2733279a1f5e4c666d4bf2635391e96823ba7e69c201d59d257495c6246a51a2f15e49
Homepage: https://cran.r-project.org/package=MullerPlot
Description: CRAN Package 'MullerPlot' (Generates Muller Plot from Population/Abundance/FrequencyDynamics Data)
 Generates Muller plot from parental/genealogy/phylogeny information and
 population/abundance/frequency dynamics data.  Muller plots are plots which
 combine information about succession of different OTUs (genotypes,
 phenotypes, species, ...) and information about dynamics of their abundances
 (populations or frequencies) over time. They are powerful and fascinating
 tools to visualize evolutionary dynamics. They may be employed also in study
 of diversity and its dynamics, i.e. how diversity emerges and how changes
 over time. They are called Muller plots in honor of Hermann Joseph Muller
 which used them to explain his idea of Muller's ratchet (Muller, 1932,
 American Naturalist).  A big difference between Muller plots and normal box
 plots of abundances is that a Muller plot depicts not only the relative
 abundances but also succession of OTUs based on their
 genealogy/phylogeny/parental relation. In a Muller plot, horizontal axis is
 time/generations and vertical axis represents relative abundances of OTUs at
 the corresponding times/generations. Different OTUs are usually shown with
 polygons with different colors and each OTU originates somewhere in the
 middle of its parent area in order to illustrate their succession in
 evolutionary process.  To generate a Muller plot one needs the
 genealogy/phylogeny/parental relation of OTUs and their abundances over
 time.  MullerPlot package has the tools to generate Muller plots which
 clearly depict the origin of successors of OTUs.

Package: r-cran-mully
Architecture: all
Version: 2.1.38-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 517
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-rgl, r-cran-randomcolor
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mully_2.1.38-1.ca2004.1_all.deb
Size: 380496
MD5sum: 1aff804a921fdff76c34d10ed67b618e
SHA1: 8cde7d321e5d59f6f8d4ce12d1d0aeef801d6842
SHA256: d2f9aea48da52b1b465709e78dfea3388f5f6bbf0c1e58f0f0c73f39fde6443f
SHA512: 7dc5f0a68a46b68ae6f581aa6b5079d22710e75674b190715462dff19c2c40f36eb93f6829a436dcc5a7a7532b05d196f9a9ff98fc89385819d449103d0a0da2
Homepage: https://cran.r-project.org/package=mully
Description: CRAN Package 'mully' (Create, Modify and Visualize Multi-Layered Networks)
 Allows the user to create graphs with multiple layers. The user can also
 modify the layers, the nodes, and the edges. The graph can also be
 visualized.  Zaynab Hammoud and Frank Kramer (2018)
 <doi:10.3390/genes9110519>.  More about multilayered graphs and their usage
 can be found in our review paper: Zaynab Hammoud and Frank Kramer (2020)
 <doi:10.1186/s41044-020-00046-0>.

Package: r-cran-mulsem
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openmx
Filename: pool/dists/focal/main/r-cran-mulsem_1.0-1.ca2004.1_all.deb
Size: 88604
MD5sum: 955222a4dbcffb78c7ed7c6d04f8f6b0
SHA1: 3a346002a9802dd7bd82042215b31ae0569d9d7b
SHA256: 12990ec9cddba45bcd21c55e3a5c6cd87f6755cd0aae1b01275b695164ef19bf
SHA512: 0171284a0f8443d45a00753baf0bf9fce3561680096bb8902c025bcc29162afa148f6c9427cf69b2b2d4bb2c515f7d51bcf1b164d9071b0ca6c82da238cf87f6
Homepage: https://cran.r-project.org/package=mulSEM
Description: CRAN Package 'mulSEM' (Some Multivariate Analyses using Structural Equation Modeling)
 A set of functions for some multivariate analyses utilizing a structural
 equation modeling (SEM) approach through the 'OpenMx' package.  These
 analyses include canonical correlation analysis (CANCORR), redundancy
 analysis (RDA), and multivariate principal component regression (MPCR).  It
 implements procedures discussed in Gu and Cheung (2023)
 <doi:10.1111/bmsp.12301>, Gu, Yung, and Cheung (2019)
 <doi:10.1080/00273171.2018.1512847>, and Gu et al. (2023)
 <doi:10.1080/00273171.2022.2141675>.

Package: r-cran-mulset
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-digest
Filename: pool/dists/focal/main/r-cran-mulset_1.0.0-1.ca2004.1_all.deb
Size: 20340
MD5sum: 306275102fd12603118c770dc05790bd
SHA1: 38f1c704fab1a6b6616cd7050272c2a9f975eb69
SHA256: 716f79fae421de65cf398b01ae0ec4aa07c30ffb7bcc228223efcb15fcc1094c
SHA512: 009436f7d933dd7497ec94dd23ce63d64cc47c5ccc7bce92d383ee7101c6009e15c1de6a43ac3b58b7eef2d6058a64d99f19f68eb519b9ab5190cb0c75b2e08d
Homepage: https://cran.r-project.org/package=mulset
Description: CRAN Package 'mulset' (Multiset Intersection Generator)
 Computes efficient data distributions from highly inconsistent datasets with
 many missing values using multi-set intersections. Based upon hash
 functions, 'mulset' can quickly identify intersections from very large
 matrices of input vectors across columns and rows and thus provides scalable
 solution for dealing with missing values. Tomic et al. (2019)
 <doi:10.1101/545186>.

Package: r-cran-mult.latent.reg
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-matrixstats, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-mult.latent.reg_0.2.2-1.ca2004.1_all.deb
Size: 232224
MD5sum: 3d9917f3a06fdaf09a0cd0d972e746d7
SHA1: 06f50e2a6ae5401c4f75a61897a9f4e63dfc3dea
SHA256: 1e5539f6e0c4e04e56f2119f7346cfa71dc2109a25c705a42212e17c3188170f
SHA512: c1456803053794b4484660004e806b0433c9a823d464c96e897d86bae14a686bf5afeacfbb8e1b422ebee5fc77c20028667931fd6e5d5b64f7a853dac7923d5a
Homepage: https://cran.r-project.org/package=mult.latent.reg
Description: CRAN Package 'mult.latent.reg' (Regression and Clustering in Multivariate Response Scenarios)
 Fitting multivariate response models with random effects on one or two
 levels; whereby the (one-dimensional) random effect represents a latent
 variable approximating the multivariate space of outcomes, after possible
 adjustment for covariates. The method is particularly useful for
 multivariate, highly correlated outcome variables with unobserved
 heterogeneities. Applications include regression with multivariate
 responses, as well as multivariate clustering or ranking problems. See Zhang
 and Einbeck (2024) <doi:10.1007/s42519-023-00357-0>.

Package: r-cran-multalloc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-multalloc_1.2-1.ca2004.1_all.deb
Size: 23128
MD5sum: a7829c1c055007cf1b6db79564f6e662
SHA1: 29a76cee4c2a12ecd8487b6d802212166fe55320
SHA256: ac38e999cd94109db30d693d1e4202e4ed39645cc3d0b6c167550533271f6a0b
SHA512: 5c926706468de0ce3b13586626b7a6aa04b33c5ad73d5b871e7ecb39308a04200b7660646336c2559a9021e66bae2939425112fa0bd5f6e7a14d9858eac2dc61
Homepage: https://cran.r-project.org/package=MultAlloc
Description: CRAN Package 'MultAlloc' (Optimal Allocation in Stratified Sampling)
 Integer Programming Formulations Applied to Univariate and Multivariate
 Allocation Problems.

Package: r-cran-multbiplotr
Architecture: all
Version: 23.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1741
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-scales, r-cran-geometry, r-cran-deldir, r-cran-mirt, r-cran-gparotation, r-cran-hmisc, r-cran-car, r-cran-dunn.test, r-cran-gplots, r-cran-lattice, r-cran-polycor, r-cran-dae, r-cran-xtable, r-cran-mvtnorm, r-cran-psych, r-cran-threeway, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-multbiplotr_23.11.0-1.ca2004.1_all.deb
Size: 1677252
MD5sum: 07a38d2214d4e86a9237cabdc8e9d465
SHA1: d44a21adcb6b86a6f009c5ae2b0aca5b2187fa92
SHA256: 8fc26381753fea8a99bba03035fa1274acff70537992bae34b36134d5a3036ea
SHA512: 64a129fa5e0dada86ae9e007b2dc88b0924e5668158230c080468cfae2e2a0fbebb2474256f539d5798481b96c81cd7e7df476bcd5f3bee2ccdad2489bc8ce0c
Homepage: https://cran.r-project.org/package=MultBiplotR
Description: CRAN Package 'MultBiplotR' (Multivariate Analysis Using Biplots in R)
 Several multivariate techniques from a biplot perspective. It is the
 translation (with many improvements) into R of the previous package
 developed in 'Matlab'. The package contains some of the main developments of
 my team during the last 30 years together with some more standard
 techniques. Package includes: Classical Biplots, HJ-Biplot, Canonical
 Biplots, MANOVA Biplots, Correspondence Analysis, Canonical Correspondence
 Analysis, Canonical STATIS-ACT, Logistic Biplots for binary and ordinal
 data, Multidimensional Unfolding, External Biplots for Principal Coordinates
 Analysis or Multidimensional Scaling, among many others. References can be
 found in the help of each procedure.

Package: r-cran-multcomp
Architecture: all
Version: 1.4-28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1084
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-survival, r-cran-th.data, r-cran-sandwich, r-cran-codetools
Suggests: r-cran-lme4, r-cran-nlme, r-cran-robustbase, r-cran-coin, r-cran-mass, r-cran-foreign, r-cran-xtable, r-cran-lmtest, r-cran-coxme, r-cran-simcomp, r-cran-iswr, r-cran-tram, r-cran-fixest, r-cran-glmmtmb, r-cran-dosefinding, r-cran-hh, r-cran-asd, r-cran-gsdesign, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-multcomp_1.4-28-1.ca2004.1_all.deb
Size: 696312
MD5sum: c5391c2cff83a4c7a9c00940d5a24984
SHA1: e5087b790d0c67d1c25a2332140e79ac29871c27
SHA256: 47d49f7bde55d44b00050804c81193cb452eace6632caee62b0988d53e8f0f36
SHA512: b3da89f85fdd3236b05b2ae0733b610327027ff7e632974f0eb85b1e38e7f81c150d30a5f2f9cbdcc8393d62f67529f2313a8becdd32bddf03eae5356963a395
Homepage: https://cran.r-project.org/package=multcomp
Description: CRAN Package 'multcomp' (Simultaneous Inference in General Parametric Models)
 Simultaneous tests and confidence intervals for general linear hypotheses in
 parametric models, including linear, generalized linear, linear mixed
 effects, and survival models.  The package includes demos reproducing
 analyzes presented in the book "Multiple Comparisons Using R" (Bretz,
 Hothorn, Westfall, 2010, CRC Press).

Package: r-cran-multcompview
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-multcomp, r-cran-pgirmess, r-cran-mass
Filename: pool/dists/focal/main/r-cran-multcompview_0.1-10-1.ca2004.1_all.deb
Size: 114372
MD5sum: b2bde26bd005d68ddfc36934374a91b3
SHA1: 0bab52c3c9dbad15d7b3d82cafad2887e0a07887
SHA256: 755eec491def35b59306e749a66795912625b6913bf8bf60878b46a062f8d8a1
SHA512: 25fdc4950fb49bbcc6c9d95468c969693303d848cac1964fd11aee23a73fee1573c21551949539c4748a0b19c2c3a8bec5f7bbc0b0cbdd3d3c6f85e40cdd151b
Homepage: https://cran.r-project.org/package=multcompView
Description: CRAN Package 'multcompView' (Visualizations of Paired Comparisons)
 Convert a logical vector or a vector of p-values or a correlation,
 difference, or distance matrix into a display identifying the pairs for
 which the differences were not significantly different.  Designed for use in
 conjunction with the output of functions like TukeyHSD, dist{stats}, simint,
 simtest, csimint, csimtest{multcomp}, friedmanmc, kruskalmc{pgirmess}.

Package: r-cran-multdm
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mts
Filename: pool/dists/focal/main/r-cran-multdm_1.1.5-1.ca2004.1_all.deb
Size: 225696
MD5sum: 599d3f2d084c2203f565a22f49f8a5d4
SHA1: b30b6f18a4331e39a28d082f65bc75d675f2c723
SHA256: 9e03794e461c7785bde122bc76485df010baaac7061f5eeaf51b4ce80b9de253
SHA512: c7ec7a9a397772f101609c18311cee1bcc703874d732c94c5670ada24db552ec650e4c39157386d48a7e7120419e598ffa3acc3327911d3a666833f70d3e3225
Homepage: https://cran.r-project.org/package=multDM
Description: CRAN Package 'multDM' (Multivariate Version of the Diebold-Mariano Test)
 Allows to perform the multivariate version of the Diebold-Mariano test for
 equal predictive ability of multiple forecast comparison. Main reference:
 Mariano, R.S., Preve, D. (2012) <doi:10.1016/j.jeconom.2012.01.014>.

Package: r-cran-multe
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nnet
Suggests: r-cran-spelling, r-cran-knitr, r-cran-formatr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multe_1.1.0-1.ca2004.1_all.deb
Size: 544424
MD5sum: 039eacbd6f11406312a04e7264061635
SHA1: fcaab8a2936001e36ecf9dd83b6e591a4ba4a4be
SHA256: 74739da690b9b4fcc3507fc48d3612c98c1bfc9fc999f7c8e0b3abfafa657ea1
SHA512: 4132f26f389585998a11cd476015156e8ea1ea478a4d4974ef06449610a640e107ff5fad1ff89320b1597b7fef3a557da50eb227d84c17d93d5f367dc636011e
Homepage: https://cran.r-project.org/package=multe
Description: CRAN Package 'multe' (Multiple Treatment Effects Regression)
 Implements contamination bias diagnostics and alternative estimators for
 regressions with multiple treatments. The implementation is based on
 Goldsmith-Pinkham, Hull, and Kolesár (2024) <doi:10.48550/arXiv.2106.05024>.

Package: r-cran-multeq
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-simcomp
Filename: pool/dists/focal/main/r-cran-multeq_2.4-1.ca2004.1_all.deb
Size: 53364
MD5sum: 1e67ccd022eed4e30e7e95f09161777a
SHA1: 99e9555a4c70b19c55faa17139a8f8fabe58d33d
SHA256: 74a7a5aee21527a30393b895f5b54d45e12529f0e95327763a594a372fd69b4d
SHA512: 8f1004ae7ba808d0ce22ae30bd2ef1707017528df3b479c02c6639afb7fcb143f94596432e4edfebb8b317d2936e0f75d1ed86462d30f44acd891bdfc5161207
Homepage: https://cran.r-project.org/package=MultEq
Description: CRAN Package 'MultEq' (Multiple Equivalence Tests and Simultaneous Confidence Intervals)
 Equivalence tests and related confidence intervals for the comparison of two
 treatments, simultaneously for one or many normally distributed, primary
 response variables (endpoints). The step-up procedure of Quan et al. (2001)
 is both applied for differences and extended to ratios of means. A related
 single-step procedure is also available.

Package: r-cran-multfisher
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multfisher_1.1-1.ca2004.1_all.deb
Size: 81124
MD5sum: f822bb9301dfa4c6a712481bf4af5569
SHA1: f7d3c139e319ae61fbd163d4e69bdf2df7d8510a
SHA256: 8224d4a6c3a324996a23250defa68f29d947022140ab18b9ba9c5b918a16e6d8
SHA512: 54177b41a679351bb3187c9325cedaf488adca434c9259c1a3d9caf4763474615e5e851912caa382d72795862ae80adf3a47c816deb1747fc9de6badcc3c3644
Homepage: https://cran.r-project.org/package=multfisher
Description: CRAN Package 'multfisher' (Optimal Exact Tests for Multiple Binary Endpoints)
 Calculates exact hypothesis tests to compare a treatment and a reference
 group with respect to multiple binary endpoints.  The tested null hypothesis
 is an identical multidimensional distribution of successes and failures in
 both groups. The alternative hypothesis is a larger success proportion in
 the treatment group in at least one endpoint. The tests are based on the
 multivariate permutation distribution of subjects between the two groups.
 For this permutation distribution, rejection regions are calculated that
 satisfy one of different possible optimization criteria. In particular,
 regions with maximal exhaustion of the nominal significance level, maximal
 power under a specified alternative or maximal number of elements can be
 found. Optimization is achieved by a branch-and-bound algorithm. By
 application of the closed testing principle, the global hypothesis tests are
 extended to multiple testing procedures.

Package: r-cran-multiactionbutton
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1880
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-multiactionbutton_1.0.0-1.ca2004.1_all.deb
Size: 311980
MD5sum: 34131ca9062d179b354a2798261d5339
SHA1: 191b0a49241eeae2f8a6e601e05db8f7d47e4902
SHA256: 12d62a7cdc95b3f6d56f7260c64ad41be989a17e95c764b45710560defccddca
SHA512: 05244c8fa516daac27b455dc38f13ac45a4fb851d8a2ec01df9a22ce889e93091955caf726ffd6ceb438fa4b506f0b46fe8f95d6dd29d3bf9dc1fe2996c42cd5
Homepage: https://cran.r-project.org/package=multiActionButton
Description: CRAN Package 'multiActionButton' (Multi Action Button for 'Shiny' Applications)
 Provides a multi action button for usage in 'shiny' applications.

Package: r-cran-multiaovbay
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dt, r-cran-shiny, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-ggstatsplot, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-bayesfactor, r-cran-broom, r-cran-car, r-cran-highcharter, r-cran-moments, r-cran-reshape, r-cran-nortest, r-cran-purrr, r-cran-shinycssloaders, r-cran-pmcmrplus, r-cran-stringr, r-cran-waiter, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-multiaovbay_0.1.0-1.ca2004.1_all.deb
Size: 104892
MD5sum: 7c6cc7433a6dd780015ac969c8840086
SHA1: a31eaa05def3e883fb8ed62c96dc03914f5d1db6
SHA256: ff891d8cff401f0edc86a5c12fa750ba70548ec6b8b23bc4d4ac32a6c452f9bf
SHA512: e9c4e35f7fa23974244c44317453e384648b2a51a8bb1afaa37969d20a7416d22ecd797b50f34b1d8ac3b2e1a9fdc1871d4f958891d6d5e8d99dd3dbb38f5931
Homepage: https://cran.r-project.org/package=Multiaovbay
Description: CRAN Package 'Multiaovbay' (Classic, Nonparametric and Bayesian Two-Way Analysis of VariancePanel)
 Covers several approaches to ANOVA (Analysis of Variance), specifically
 studying a balanced two-factor fixed-fixed ANOVA design. It consists of four
 sections. The first section uses a dynamic scheme to indicate which possible
 alternatives to follow depending on the fulfillment of the assumptions of
 the model. It also presents an analysis on the fulfillment of the
 assumptions of linearity, homoscedasticity, normality, and independence in
 the residuals of the model, as well as dynamic statistical graphs on the
 residuals of the model. The second section presents an analysis with a
 non-parametric approach of Kruskal Wallis. After Kruskal Wallis, a Post-Hoc
 analysis of multiple comparisons on the medians of the treatments is carried
 out. The third section presents a classical parametric ANOVA. Following
 classical ANOVA, a post-hoc analysis of multiple comparisons on the medians
 of the treatments, factor levels by Dunn's test, and statistical graphs for
 the treatments and factor levels are shown. Additionally, a post-hoc
 analysis of multiple comparisons on the means of the treatments is done. The
 fourth section presents an analysis of variance under a Bayesian approach.
 In this section, interactive statistical graphs are presented on the
 posterior distributions of treatments, factor levels, and a convergence
 analysis of the estimated parameters, using MCMC (Markov Chain Monte Carlo).
 These results are displayed in an interactive glossy panel which allows
 modification of the test arguments, contains interactive statistical plots,
 and presents automatic conclusions depending on the fulfillment of the
 assumptions of the balanced two-factor fixed ANOVA model.

Package: r-cran-multiapply
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multiapply_2.1.4-1.ca2004.1_all.deb
Size: 50116
MD5sum: 74df067ef81b5b860a9d77d2aacc9970
SHA1: 4aa7b10c9e4e11797f439ab29f5b507f6ee334fe
SHA256: cd5bac6831da61fe71d70e85638115b992bd5bf451223e47c0cfb1ee14157720
SHA512: 1f11d0e3f3d8498c7058331a2dc1527a7905753f4234b145c43775254148b310e5702cb796b26f9a7d6c254af84955e17108c0a5ea84894c823231aadd7826ee
Homepage: https://cran.r-project.org/package=multiApply
Description: CRAN Package 'multiApply' (Apply Functions to Multiple Multidimensional Arrays or Vectors)
 The base apply function and its variants, as well as the related functions
 in the 'plyr' package, typically apply user-defined functions to a single
 argument (or a list of vectorized arguments in the case of mapply). The
 'multiApply' package extends this paradigm with its only function, Apply,
 which efficiently applies functions taking one or a list of multiple
 unidimensional or multidimensional arrays (or combinations thereof) as
 input. The input arrays can have different numbers of dimensions as well as
 different dimension lengths, and the applied function can return one or a
 list of unidimensional or multidimensional arrays as output. This saves
 development time by preventing the R user from writing often error-prone and
 memory-inefficient loops dealing with multiple complex arrays. Also, a
 remarkable feature of Apply is the transparent use of multi-core through its
 parameter 'ncores'. In contrast to the base apply function, this package
 suggests the use of 'target dimensions' as opposite to the 'margins' for
 specifying the dimensions relevant to the function to be applied.

Package: r-cran-multiassetoptions
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-multiassetoptions_0.1-2-1.ca2004.1_all.deb
Size: 156068
MD5sum: 690fa29aadd0942cb01cc8ad678a0e9f
SHA1: bd999bdeb52cdcca91a72ba08b6785dd8e9dd772
SHA256: 5ffd3e18577dc058c2d735187be183a67510b72f63e88cdf9641a47879f77fd4
SHA512: e803997a5bd898d1cf804034dc6c60e187c6bdce45383f5889af287876ed2459920ac362bf6f9bfaf3559bf47cf298bf7a87e0a151403efa3d52527b59376a1e
Homepage: https://cran.r-project.org/package=multiAssetOptions
Description: CRAN Package 'multiAssetOptions' (Finite Difference Method for Multi-Asset Option Valuation)
 Efficient finite difference method for valuing European and American
 multi-asset options.

Package: r-cran-multiatsm
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1711
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-readxl, r-cran-cowplot, r-cran-magic, r-cran-reshape2, r-cran-pracma, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-kableextra, r-cran-neldermead, r-cran-magrittr, r-cran-hablar
Filename: pool/dists/focal/main/r-cran-multiatsm_1.3.1-1.ca2004.1_all.deb
Size: 1424772
MD5sum: ae855ba60152d8d72570b68ebe194119
SHA1: 027d826c39e069f8a32b50f0a202022170a0ff7c
SHA256: bbe1c0502d241e596ae7a447c06604f1b4729090d5225270c8a7588f5d3c16e4
SHA512: 4686fbb4401fae17fd4f7cc65880fb5ee3ce17abb8cfb90c075ef18c1274ada6d3ae8b6c8ef42b906fa00a6e6eaf2c4abc5f1f14b19b76c6c8b8b64a576ad39f
Homepage: https://cran.r-project.org/package=MultiATSM
Description: CRAN Package 'MultiATSM' (Multicountry Term Structure of Interest Rates Models)
 Estimation routines for several classes of affine term structure of interest
 rates models. All the models are based on the single-country unspanned
 macroeconomic risk framework from Joslin, Priebsch, and Singleton (2014, JF)
 <doi:10.1111/jofi.12131>. Multicountry extensions such as the ones of
 Jotikasthira, Le, and Lundblad (2015, JFE)
 <doi:10.1016/j.jfineco.2014.09.004>, Candelon and Moura (2023, EM)
 <doi:10.1016/j.econmod.2023.106453>, and Candelon and Moura (2024, JFEC)
 <doi:10.1093/jjfinec/nbae008> are also available.

Package: r-cran-multiband
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multiband_0.1.0-1.ca2004.1_all.deb
Size: 83208
MD5sum: 495cc78d714248fa22fc3c81e4a289db
SHA1: c59af90de5c2033f74e7188da50caf9533e761f0
SHA256: 771fa4f5c4fe819274c03653bfefcd4924d0e546a68b23b3c4ac71086fcaf7dd
SHA512: 83808074e49ab847a86f44690eb86db6be9d523ee151a84833cac47086c860c857d3bddc1937e44b25d41319746e6b3f96011b19709388011ee275a067eaa18c
Homepage: https://cran.r-project.org/package=multiband
Description: CRAN Package 'multiband' (Period Estimation for Multiple Bands)
 Algorithms for performing joint parameter estimation in astronomical survey
 data acquired in multiple bands.

Package: r-cran-multibias
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4471
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-broom, r-cran-purrr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-multibias_1.7.2-1.ca2004.1_all.deb
Size: 2770580
MD5sum: 4e62398e91959bd94e78e954794f8aed
SHA1: 3c5fbe3699871a979066c72e6977c6e97de63659
SHA256: 74d11390baded0908ba47bc0b967e3e45017bf648cb3885b7d4e27855780d93a
SHA512: 7cc58946e1ae3f0f0b1b8b6bd195457e97d5ae2e57e6765ffc9971ec674681356bf913b9312a470fd52436ce0404cc7d628ecf66ff979283a8bc18fc1ae7fca8
Homepage: https://cran.r-project.org/package=multibias
Description: CRAN Package 'multibias' (Multiple Bias Analysis in Causal Inference)
 Quantify the causal effect of a binary exposure on a binary outcome with
 adjustment for multiple biases. The functions can simultaneously adjust for
 any combination of uncontrolled confounding, exposure/outcome
 misclassification, and selection bias.  The underlying method generalizes
 the concept of combining inverse probability of selection weighting with
 predictive value weighting.  Simultaneous multi-bias analysis can be used to
 enhance the validity and transparency of real-world evidence obtained from
 observational, longitudinal studies. Based on the work from Paul Brendel,
 Aracelis Torres, and Onyebuchi Arah (2023) <doi:10.1093/ije/dyad001>.

Package: r-cran-multibiasmeta
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-evalue, r-cran-metabias, r-cran-metafor, r-cran-purrr, r-cran-rdpack, r-cran-rlang, r-cran-robumeta
Suggests: r-cran-glue, r-cran-knitr, r-cran-phacking, r-cran-publicationbias, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multibiasmeta_0.2.2-1.ca2004.1_all.deb
Size: 56684
MD5sum: bab61d4a5e77a533c2ae5d5c804c9f0b
SHA1: 7beb67d49fa17f4e88679731b5320ddd1878f63b
SHA256: 630b638272dc8cbfafe5ada8f5bf16b14e042b50b634850ac1353d8c5d6f08fa
SHA512: 65430505650279c0250d069176ee70414f253a1df12e30fbec6d161bea45914d01b23008e35a619631421dd38935e1193e2dcfbdb297a94714eb572a48be6805
Homepage: https://cran.r-project.org/package=multibiasmeta
Description: CRAN Package 'multibiasmeta' (Sensitivity Analysis for Multiple Biases in Meta-Analyses)
 Meta-analyses can be compromised by studies' internal biases (e.g.,
 confounding in nonrandomized studies) as well as by publication bias. This
 package conducts sensitivity analyses for the joint effects of these biases
 (per Mathur (2022) <doi:10.31219/osf.io/u7vcb>). These sensitivity analyses
 address two questions: (1) For a given severity of internal bias across
 studies and of publication bias, how much could the results change?; and (2)
 For a given severity of publication bias, how severe would internal bias
 have to be, hypothetically, to attenuate the results to the null or by a
 given amount?

Package: r-cran-multibiplotgui
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rgl, r-cran-tkrplot, r-cran-tcltk2, r-cran-shapes, r-cran-plotrix, r-cran-mass, r-cran-matrix, r-cran-cluster, r-cran-dendroextras
Filename: pool/dists/focal/main/r-cran-multibiplotgui_1.1-1.ca2004.1_all.deb
Size: 210612
MD5sum: 2a274e7e30eda4edcd7b7267d11a7efd
SHA1: 614fd0d14c8af6bd62916153cb19350c6dd27277
SHA256: b0d4aa5c532b14bbee164bdfdd890f2dc16f4d0c2e8300347ca8c3e40234a486
SHA512: 3a59e931cdaaadb843161481c9ac89b48a95148ed3fd0a1531a42aecfb3d18183d2a1c9315dcde6c667d60a25ecebd365995978b9de1128ef5ebb3617af12805
Homepage: https://cran.r-project.org/package=multibiplotGUI
Description: CRAN Package 'multibiplotGUI' (Multibiplot Analysis in R)
 Provides a GUI with which users can construct and interact with Multibiplot
 Analysis.

Package: r-cran-multibreaker
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multibreaker_0.1.0-1.ca2004.1_all.deb
Size: 61624
MD5sum: 4d093f29771d843614e8d0cb3677fb17
SHA1: 46fb5a16d6e5d7f450b59acaa002532c51aa2c5b
SHA256: a0ac33c29e3170abf755543d10a0a58ed6b7cae225d2a7e7c45295c65a523fce
SHA512: 7c56b7e51fa006d18ef8b2af743c41c517afa7b10f5b03dc2589655c6b5c6c75f7941602419896998e076dea8b7aeed1b33c404f359a7f9551365c6e8dce896c
Homepage: https://cran.r-project.org/package=multibreakeR
Description: CRAN Package 'multibreakeR' (Tests for a Structural Change in Multivariate Time Series)
 Flexible implementation of a structural change point detection algorithm for
 multivariate time series.  It authorizes inclusion of trends, exogenous
 variables, and break test on the intercept or on the full vector
 autoregression system.  Bai, Lumsdaine, and Stock (1998)
 <doi:10.1111/1467-937X.00051>.

Package: r-cran-multica
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bitops, r-cran-multcomp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multica_1.2.0-1.ca2004.1_all.deb
Size: 50904
MD5sum: ee8d8cfb05f8cf61b2f2c131aeeaeb59
SHA1: 3e08816e7b507ee3c479eccf1c4e7e67ac8c6316
SHA256: 62fe3cde0ca5242dab59722fcf2463491c146db5932c3157467b17e4cd52d1e4
SHA512: cce1d1ad0a38819f4a9d3a11ec575d3c55ddae15199e0768f1741fb0c114c6f2a6e78b15eaafcc283d1640fcc21a3ff892d6335bf8e5743dae9fbcd0c070af2a
Homepage: https://cran.r-project.org/package=multiCA
Description: CRAN Package 'multiCA' (Multinomial Cochran-Armitage Trend Test)
 Implements a generalization of the Cochran-Armitage trend test to
 multinomial data. In addition to an overall test, multiple testing adjusted
 p-values for trend in individual outcomes and power calculation is
 available.

Package: r-cran-multicastr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multicastr_2.0.0-1.ca2004.1_all.deb
Size: 40376
MD5sum: f13cc2301de708cf316b0f21dd2d2e43
SHA1: 36084314494da9224d442b90d628d9bcd684ba81
SHA256: 01a0e6a5ccfa89ff76449af2b25abdc5948d40a0cb950a4f8e17edc8ba9bb0df
SHA512: a12fef35ad241f7caeb3d0b34ca15aa05559a0807e943af0b2dbc50332221ec537f12a4cd2ac41cd0e66345d642868cebe82b2d4caa85120e400f104082cb6b3
Homepage: https://cran.r-project.org/package=multicastR
Description: CRAN Package 'multicastR' (A Companion to the Multi-CAST Collection)
 Provides a basic interface for accessing annotation data from the Multi-CAST
 collection, a database of spoken natural language texts edited by Geoffrey
 Haig and Stefan Schnell. The collection draws from a diverse set of
 languages and has been annotated across multiple levels.  Annotation data is
 downloaded on request from the servers of the University of Bamberg. See the
 Multi-CAST website <https://multicast.aspra.uni-bamberg.de/> for more
 information and a list of related publications.

Package: r-cran-multichull
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-plotly, r-cran-shiny, r-cran-shinythemes, r-cran-dt
Filename: pool/dists/focal/main/r-cran-multichull_3.0.1-1.ca2004.1_all.deb
Size: 76072
MD5sum: f712936d827a6045263e4a7b2cb91393
SHA1: 82675cc21466032518e40b3fa8739aa378cae4ac
SHA256: 67ce219ff2a64fb723b4b5d4de0d8d290bd19c4f08cad29ae0794b56342f3dff
SHA512: aa2aeebe48e0c2f6c8f3baeefcc3a88f267373df5457cc519a80f51ec5f4649b95af541dfc7c0360993dc710cd0ca13327a966a82a0a9b29156ba27e4d8ea754
Homepage: https://cran.r-project.org/package=multichull
Description: CRAN Package 'multichull' (A Generic Convex-Hull-Based Model Selection Method)
 Given a set of models for which a measure of model (mis)fit and model
 complexity is provided, CHull(), developed by Ceulemans and Kiers (2006)
 <doi:10.1348/000711005X64817>, determines the models that are located on the
 boundary of the convex hull and selects an optimal model by means of the
 scree test values.

Package: r-cran-multiclasspairs
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2709
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-boruta, r-cran-dunn.test, r-cran-caret, r-cran-e1071, r-cran-rdist
Suggests: r-cran-biocmanager, r-bioc-biobase, r-bioc-switchbox, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-multiclasspairs_0.4.3-1.ca2004.1_all.deb
Size: 1262840
MD5sum: cd0fa3a602a2f896887f0d4f8f12412a
SHA1: dec773ea3e12f5333a9091ab5d7ac97004c9ae33
SHA256: a1b3294a44b603d8c519bd08a6048081472d3ff829cd2c31a64ccaec9482cbac
SHA512: 7b2581d422474bb4904fa7c53d6edf7c818b6e1d41f45c5f98f8ba3ed183b7c9f19b96f2d82cfbb54ec33359144225d8d0bd2f23ae85f0ea8af3cad470c96c5f
Homepage: https://cran.r-project.org/package=multiclassPairs
Description: CRAN Package 'multiclassPairs' (Build MultiClass Pair-Based Classifiers using TSPs or RF)
 A toolbox to train a single sample classifier that uses in-sample feature
 relationships. The relationships are represented as feature1 < feature2
 (e.g. gene1 < gene2). We provide two options to go with. First is based on
 'switchBox' package which uses Top-score pairs algorithm. Second is a novel
 implementation based on random forest algorithm. For simple problems we
 recommend to use one-vs-rest using TSP option due to its simplicity and for
 being easy to interpret.  For complex problems RF performs better.  Both
 lines filter the features first then combine the filtered features to make
 the list of all the possible rules (i.e. rule1: feature1 < feature2, rule2:
 feature1 < feature3, etc...).  Then the list of rules will be filtered and
 the most important and informative rules will be kept. The informative rules
 will be assembled in an one-vs-rest model or in an RF model.  We provide a
 detailed description with each function in this package to explain the
 filtration and training methodology in each line. Reference: Marzouka &
 Eriksson (2021) <doi:10.1093/bioinformatics/btab088>.

Package: r-cran-multiclassroc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-proc
Filename: pool/dists/focal/main/r-cran-multiclassroc_0.1.0-1.ca2004.1_all.deb
Size: 15384
MD5sum: c73ab9e9a53432515ceeb975a0eb0773
SHA1: 4abe6c94b76dae78199e85f9f5646f2562bda890
SHA256: 7725f152114e680b3cb5cc68b26c6d7438b29d9fd75d3d576f48ec8b353b0934
SHA512: 18c89cc8f1142da859317427f9f2e97757cb492153b79f2c402877e2bdc5eeb984a061fcb325b969bf11a1e7687217a85e171b4f6007329cd78246603292fbf2
Homepage: https://cran.r-project.org/package=MultiClassROC
Description: CRAN Package 'MultiClassROC' (ROC Curves for Multi-Class Analysis)
 Function multiroc() can be used for computing and visualizing Receiver
 Operating Characteristics (ROC) and Area Under the Curve (AUC) for
 multi-class classification problems. It supports both One-vs-One approach by
 M.Bishop, C. (2006, ISBN:978-0-387-31073-2) and One-vs-All approach by
 Murphy P., K. (2012, ISBN:9780262018029).

Package: r-cran-multicmp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-multicmp_1.1-1.ca2004.1_all.deb
Size: 32760
MD5sum: a2327dde913f54e36b753855a5fbe024
SHA1: 9b3c12126f20d8f926911cfbaa26660ed4d98485
SHA256: 0a517d6ff8c84dc81c3533cff397b0953b9af1eed3a323698db8915b657f6caf
SHA512: ef44b3a81c827bdeff2c6473a533eaab4d95e72e6a0ae8043d1817055a9a99524ed4be84a977d6c89df06b1df74d7949bb21512d3a30fb4de0d87dab49481362
Homepage: https://cran.r-project.org/package=multicmp
Description: CRAN Package 'multicmp' (Flexible Modeling of Multivariate Count Data via theMultivariate Conway-Maxwell-Poisson Distribution)
 A toolkit containing statistical analysis models motivated by multivariate
 forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible
 modeling of multivariate count data, especially in the presence of data
 dispersion. Currently the package only supports bivariate data, via the
 bivariate COM-Poisson distribution described in Sellers et al. (2016)
 <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package
 to higher-dimensional data.

Package: r-cran-multicoll
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multicoll_2.0-1.ca2004.1_all.deb
Size: 73788
MD5sum: 02c0c852a913b2a749f1fbc3d4b15ee0
SHA1: 0acda03ce1b689e0d082691ca813fd4edec55f29
SHA256: 47dd0682d8ff5848dca2fd298a507fcf3ec0510b815aeb7ee66069a60412bdf8
SHA512: 27f5733c26dd55ba06cde583ba8453239aa0e934681c8d5d462e4f5af4a9887fddcd061823dff58b092b4fba5349d2041dd115e4c745eaa7b3d5100987ea028e
Homepage: https://cran.r-project.org/package=multiColl
Description: CRAN Package 'multiColl' (Collinearity Detection in a Multiple Linear Regression Model)
 The detection of worrying approximate collinearity in a multiple linear
 regression model is a problem addressed in all existing statistical
 packages. However, we have detected deficits regarding to the incorrect
 treatment of qualitative independent variables and the role of the intercept
 of the model. The objective of this package is to correct these deficits. In
 this package will be available detection and treatment techniques
 traditionally used as the recently developed.

Package: r-cran-multicolor
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cowsay, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-fansi, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-viridislite, r-cran-wesanderson
Filename: pool/dists/focal/main/r-cran-multicolor_0.1.7-1.ca2004.1_all.deb
Size: 66980
MD5sum: d5207f000c3b2aaa9526e9ca4dbfe3a2
SHA1: 0683a9605d5b60752e2539c319fd2f65bd8152e1
SHA256: 99a171abffb1d17200dca8d68f96fd096a40a2a729ef92a93e3359ef07fbdb8e
SHA512: 43ca0676446752dde917afb8afe1882765228d58c148d6431893e99d519414ec7cb411afd9bac5d4d8864e77d3157bd69e6d64aedbae96ca731d55933f007d7d
Homepage: https://cran.r-project.org/package=multicolor
Description: CRAN Package 'multicolor' (Add Multiple Colors to your Console & RMarkdown Output)
 Add multiple colors to text that is printed to the console.

Package: r-cran-multicon
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-abind, r-cran-foreach, r-cran-mvtnorm, r-cran-sciplot
Filename: pool/dists/focal/main/r-cran-multicon_1.6-1.ca2004.1_all.deb
Size: 569020
MD5sum: 3a2731beae20228d6d0d11960efe4bb8
SHA1: 977f1aea8d5c9751457661ed01ac3c5a0867c375
SHA256: 9e72fc5e60cfe9bc1805b2fd942caa701deedd68693be84aef794796ac37b1ee
SHA512: 796ac60f5b18bcf6c0e0af1445bbba43e19b2a940e97bc42503abcff929b8a172151492df94dbd059ef8461aabecc792d2ba73a1809879f0985c7652bb7ca368
Homepage: https://cran.r-project.org/package=multicon
Description: CRAN Package 'multicon' (Multivariate Constructs)
 Includes functions designed to examine relationships among multivariate
 constructs (e.g., personality). This includes functions for profile
 (within-person) analysis, dealing with large numbers of analyses, lens model
 analyses, and structural summary methods for data with circumplex structure.
 The package also includes functions for graphically comparing and displaying
 group means.

Package: r-cran-multicross
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-nbpmatching, r-cran-crossmatch
Suggests: r-cran-ape
Filename: pool/dists/focal/main/r-cran-multicross_2.1.0-1.ca2004.1_all.deb
Size: 40540
MD5sum: fb299fdcb7b527e5314d3cebc23b517b
SHA1: 61e43b7bc03508deaab6d96ea6ee1e378c2df1f3
SHA256: df66cc8a5f18acf9f01ee9c679b58e68e92b7b801453e49ebc17411ec38e4557
SHA512: 5b8a53eec55c10eb455db61516a4a215567b3f20e90d8ab7602eb40ead7413b0a877e7c091a909a821ddd4f7709719baff125fd2a845cccf9e7f9f20bf7f0d94
Homepage: https://cran.r-project.org/package=multicross
Description: CRAN Package 'multicross' (A Graph-Based Test for Comparing Multivariate Distributions inthe Multi Sample Framework)
 We introduce a nonparametric, graphical test based on optimal matching for
 assessing whether multiple unknown multivariate probability distributions
 are equal. This method is consistent, and does not make any distributional
 assumptions on the data. Our procedure combines data that belong to
 different classes or groups to create a graph on the pooled data, and then
 utilizes the number of edges connecting data points from different classes
 to examine equality of distributions among the classes. The functions
 available through this package implement the work described here:
 <arXiv:1906.04776>.

Package: r-cran-multid
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glmnet, r-cran-proc, r-cran-lavaan, r-cran-emmeans, r-cran-lme4, r-cran-quantreg, r-cran-lmertest, r-cran-ggpubr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-overlapping, r-cran-rio
Filename: pool/dists/focal/main/r-cran-multid_1.0.0-1.ca2004.1_all.deb
Size: 210912
MD5sum: ddc8fbec5a6d8ac1329994d835fc7ee7
SHA1: 19c4bd5387c726549b658f38f2d5802e94c97ae5
SHA256: 99cdf0dff35357e4095e25e4925b7713493a5a64a62f452e8a90f1fdea69f4a1
SHA512: fdfc0d99000d4fa17bac4903098f47266f82e06bd7ff3b3970a4384347a8fe00ff07e0473d2bffa78b661c67813964bcd8e757d178df4186d27b0ffbf8f4f1b1
Homepage: https://cran.r-project.org/package=multid
Description: CRAN Package 'multid' (Multivariate Difference Between Two Groups)
 Estimation of multivariate differences between two groups (e.g.,
 multivariate sex differences) with regularized regression methods and
 predictive approach. See Lönnqvist & Ilmarinen (2021)
 <doi:10.1007/s11109-021-09681-2> and Ilmarinen et al. (2023)
 <doi:10.1177/08902070221088155>.  Includes tools that help in understanding
 difference score reliability, predictions of difference score variables,
 conditional intra-class correlations, and heterogeneity of variance
 estimates. Package development was supported by the Academy of Finland
 research grant 338891.

Package: r-cran-multideggs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1905
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dt, r-cran-knitr, r-cran-mass, r-cran-magrittr, r-cran-pbapply, r-cran-pbmcapply, r-cran-rmarkdown, r-cran-sfsmisc, r-cran-shiny, r-cran-shinydashboard, r-cran-visnetwork
Suggests: r-bioc-qvalue, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multideggs_1.0.0-1.ca2004.1_all.deb
Size: 919416
MD5sum: caa41591c4558c67e3cc694c0ca15bd8
SHA1: 1a20a8c27e86be2c20d9d68bd2c7683ee6148e26
SHA256: 617938fd393e4f0ccd62d8f7577e0af7f17156dade659138c0d3ceb0d3380679
SHA512: 1e095af5f41b95fd73b1b34097ce2a2d4c01111766bfa0632945d93e9138c1c080f3f7488ccabde289ad1698c468a7752a06fb06aa5a203a2779b521c503a86c
Homepage: https://cran.r-project.org/package=multiDEGGs
Description: CRAN Package 'multiDEGGs' (Multi-Omic Differentially Expressed Gene-Gene Pairs)
 Performs multi-omic differential network analysis by revealing differential
 interactions between molecular entities (genes, proteins, transcription
 factors, or other biomolecules) across the omic datasets provided.  For each
 omic dataset, a differential network is constructed where links represent
 statistically significant differential interactions between entities. These
 networks are then integrated into a comprehensive visualization using
 distinct colors to distinguish interactions from different omic layers.
 This unified display allows interactive exploration of cross-omic patterns,
 such as differential interactions present at both transcript and protein
 levels. For each link, users can access differential statistical
 significance metrics (p values or adjusted p values, calculated via robust
 or traditional linear regression with interaction term) and differential
 regression plots.  The methods implemented in this package are described in
 Sciacca et al. (2023) <doi:10.1093/bioinformatics/btad192>.

Package: r-cran-multidimbio
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-lme4, r-bioc-pcamethods, r-cran-misc3d, r-cran-mass, r-cran-rcolorbrewer, r-cran-gridgraphics
Filename: pool/dists/focal/main/r-cran-multidimbio_1.2.5-1.ca2004.1_all.deb
Size: 143196
MD5sum: 71eb533c2e5e1ad0796c83c9e0dab6c4
SHA1: bf2830c2b4b4a2789cd77213185b7142e5e0979f
SHA256: 26d51ee1757b7f1d1f3584cfc8c2d1f9de9309260147c98a4258d6835dfd26af
SHA512: 5b0ebd56cf0ec2a74067b899ab4b875c8687b562528b184f80b08fcd38cf478567ce9c1378c920f9360d3fe92af1e42a0bd8eda949242ccb948acd9468aa812a
Homepage: https://cran.r-project.org/package=multiDimBio
Description: CRAN Package 'multiDimBio' (Multivariate Analysis and Visualization for Biological Data)
 Code to support a systems biology research program from inception through
 publication.  The methods focus on dimension reduction approaches to detect
 patterns in complex, multivariate experimental data and places an emphasis
 on informative visualizations.  The goal for this project is to create a
 package that will evolve over time, thereby remaining relevant and
 reflective of current methods and techniques.  As a result, we encourage
 suggested additions to the package, both methodological and graphical.

Package: r-cran-multidoe
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-plotly, r-cran-pracma
Suggests: r-cran-devtools, r-cran-here, r-cran-knitr, r-cran-logr, r-cran-markdown, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-multidoe_0.9.4-1.ca2004.1_all.deb
Size: 113336
MD5sum: c7a20ffd5fe8d08e54be630e32427c26
SHA1: b4e1f37b1008d98d57e1649ef688ddd6319551ff
SHA256: ef5fa57e1a052ee5724db6812abcf74116e183254fb0461a69e741f79629125d
SHA512: c8525b5eaf2da38934a412f480d448674de2f3b215ae977990841c05392a055537255249d74d9a6e49879c64dd489317a274bb3939c6cf3da4f245da53cf1023
Homepage: https://cran.r-project.org/package=multiDoE
Description: CRAN Package 'multiDoE' (Multi-Criteria Design of Experiments for Optimal Design)
 Multi-criteria design of experiments algorithm that simultaneously optimizes
 up to six different criteria ('I', 'Id', 'D', 'Ds', 'A' and 'As'). The
 algorithm finds the optimal Pareto front and, if requested, selects a
 possible symmetrical design on it. The symmetrical design is selected based
 on two techniques: minimum distance with the Utopia point or the 'TOPSIS'
 approach.

Package: r-cran-multidplyr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-magrittr, r-cran-qs, r-cran-r6, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-knitr, r-cran-lubridate, r-cran-mgcv, r-cran-nycflights13, r-cran-rmarkdown, r-cran-testthat, r-cran-vroom, r-cran-withr
Filename: pool/dists/focal/main/r-cran-multidplyr_0.1.3-1.ca2004.1_all.deb
Size: 103104
MD5sum: 22c77b63d990a05c3881e4b69da8cae3
SHA1: d64021d9449c220e08e0c501c98b70baf231e031
SHA256: b6456cff260ac27a623f221ca66f8833c562c418a138a02ad27fcf3075a89580
SHA512: 1b1e6f8e321c7b3f9aef623422b8ffa2367331ff695efe3a66182aef470570bb50e4beb627d14a337242a5997a93afc36c3833e6cebe9d0b0763198cd15547fa
Homepage: https://cran.r-project.org/package=multidplyr
Description: CRAN Package 'multidplyr' (A Multi-Process 'dplyr' Backend)
 Partition a data frame across multiple worker processes to provide simple
 multicore parallelism.

Package: r-cran-multifamm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2882
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-fundata, r-cran-mfpca, r-cran-mgcv, r-cran-sparseflmm, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-multifamm_0.1.1-1.ca2004.1_all.deb
Size: 2784400
MD5sum: 81616fbed8a4db9f0d4e75dfab43a4f3
SHA1: 5f60fafbdc7450b9a8a2181aa02916f7a95e6376
SHA256: b192633e0865ba1fb783e9db8ba7b5ba7f1485f5bfacf8cf6ead89ba631f41e3
SHA512: dccd24e65d59e15f2f1b8fb1d4cdd510f376f39272cd40cb6b90f900666cc5d933fb9cd2a3d6dc10e59d86deb78c7dceb3a8d92af3aacd7eb3cf6d400f0f548a
Homepage: https://cran.r-project.org/package=multifamm
Description: CRAN Package 'multifamm' (Multivariate Functional Additive Mixed Models)
 An implementation for multivariate functional additive mixed models
 (multiFAMM), see Volkmann et al. (2021, <arXiv:2103.06606>). It builds on
 developed methods for univariate sparse functional regression models and
 multivariate functional principal component analysis. This package contains
 the function to run a multiFAMM and some convenience functions useful when
 working with large models. An additional package on GitHub contains more
 convenience functions to reproduce the analyses of the corresponding paper
 (<https://github.com/alexvolkmann/multifammPaper>).

Package: r-cran-multifanova
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-mass, r-cran-foreach, r-cran-matrix, r-cran-gfdmcv, r-cran-fda
Filename: pool/dists/focal/main/r-cran-multifanova_0.1.0-1.ca2004.1_all.deb
Size: 45504
MD5sum: d40eef188ff56f8a01ca0f1687947413
SHA1: 2189e1e87a17aa4880afa088379093e7613c2ddf
SHA256: 3d40494777fdfff48a0e7b79d5bcbbae7bcb83a433865fe5ffb87e3e22d961fa
SHA512: a4c2f88dfe36f967e88bdd06584f1aec18d9d43cc8f967edcd0153d40838af98a07ff64eb448fc4e67521ee452e2efa5c2ac04bb246f591095ba012be5e7f1a6
Homepage: https://cran.r-project.org/package=multiFANOVA
Description: CRAN Package 'multiFANOVA' (Multiple Contrast Tests for Functional Data)
 The provided package implements multiple contrast tests for functional data
 (Munko et al., 2023, <arXiv:2306.15259>). These procedures enable us to
 evaluate the overall hypothesis regarding equality, as well as specific
 hypotheses defined by contrasts. In particular, we can perform post hoc
 tests to examine particular comparisons of interest. Different experimental
 designs are supported, e.g., one-way and multi-way analysis of variance for
 functional data.

Package: r-cran-multifear
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-ez, r-cran-stringr, r-cran-reshape2, r-cran-tibble, r-cran-ggplot2, r-cran-effsize, r-cran-nlme, r-cran-bayesfactor, r-cran-bayestestr, r-cran-broom, r-cran-effectsize, r-cran-esc, r-cran-forestplot, r-cran-bootstrap, r-cran-fastdummies, r-cran-rlang
Suggests: r-cran-gridextra, r-cran-vctrs, r-cran-tidyselect, r-cran-tidyr, r-cran-plyr, r-cran-ggraph, r-cran-testthat, r-cran-cowplot, r-cran-covr, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-multifear_0.1.4-1.ca2004.1_all.deb
Size: 491676
MD5sum: 614d0e6842230ed58d5da3d7d06a92d2
SHA1: a63cafdf7cc73f594953cbc8444d14ec5f38de39
SHA256: 6cbbcb6373d995cf6be881991473ac1e8e67a6476e2e25fe3a5c4237cdb82fc0
SHA512: e339706e32b4091cdd6a512df1a1136ff6e6f5a6f41d501273abcfdd9de9577b8c77dcbd8a002883c39d360377cd7bc9125c26a7367409e72901f921b87d8f9a
Homepage: https://cran.r-project.org/package=multifear
Description: CRAN Package 'multifear' (Multiverse Analyses for Conditioning Data)
 A suite of functions for performing analyses, based on a multiverse
 approach, for conditioning data. Specifically, given the appropriate data,
 the functions are able to perform t-tests, analyses of variance, and mixed
 models for the provided data and return summary statistics and plots. The
 function is also able to return for all those tests p-values, confidence
 intervals, and Bayes factors. The methods are described in Lonsdorf,
 Gerlicher, Klingelhofer-Jens, & Krypotos (2022)
 <doi:10.1016/j.brat.2022.104072>.

Package: r-cran-multifunc
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2468
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-broom, r-cran-mass, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-forcats, r-cran-tidyr, r-cran-gridextra, r-cran-knitr, r-cran-patchwork, r-cran-car
Filename: pool/dists/focal/main/r-cran-multifunc_0.9.4-1.ca2004.1_all.deb
Size: 1717928
MD5sum: 0b33140f56feeca323beb1b8e7f7d479
SHA1: 6f53e2db3495f94fb8e1a5904598996501c1e507
SHA256: 21cd678c27ecb2a4d705819b1c4a3e6798a007a98a1ea29a5681704c77f0138d
SHA512: 4db8ebe655e4bce3b7d88bed1f73870ac007210fc6ea2fbebb104f430dc0029cd2f143118883c556800ea227f07817da1cc21a491b4e6f40d7c411924d610832
Homepage: https://cran.r-project.org/package=multifunc
Description: CRAN Package 'multifunc' (Analysis of Ecological Drivers on Ecosystem Multifunctionality)
 Methods for the analysis of how ecological drivers affect the
 multifunctionality of an ecosystem based on methods of Byrnes et al.  2016
 <doi:10.1111/2041-210X.12143> and Byrnes et al.  2022
 <doi:10.1101/2022.03.17.484802>. Most standard methods in the literature are
 implemented (see vignettes) in a tidy format.

Package: r-cran-multifwf
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multifwf_0.2.2-1.ca2004.1_all.deb
Size: 15928
MD5sum: 3a8777f6210d7c74123327707e3435ac
SHA1: c0b505ed0c9d721c2ec183631aebe810ebd070ba
SHA256: 75b5bc2e2e93b3329c33e322bc41e95d0e6a4cc8e59089039fc9793f608502fd
SHA512: a59068f04072d16637661127e772a171f3530f8bfc7c683f0eea8357a89d3b009422433301158d7ff661f1ba36ad342284fdc80d7c911d786c8658446f5c0cc8
Homepage: https://cran.r-project.org/package=multifwf
Description: CRAN Package 'multifwf' (Read Fixed Width Format Files Containing Lines of Different Type)
 Read a table of fixed width formatted data of different types into a
 data.frame for each type.

Package: r-cran-multiglarmavarsel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-multiglarmavarsel_1.0-1.ca2004.1_all.deb
Size: 324660
MD5sum: 341a3bb905468f102db16a3c5353e05b
SHA1: c7e3a2528d2069ea737fbc6b0cdc0166d4faf388
SHA256: e1c79c1b71bc82a75af66e22f53f63505765c75748d5238c0503e472b107c0fb
SHA512: 57171cede391dfcb811f81a9d213a14286bc43017d2f42050062ff38a1a4d512cc6761dcb11b42ec8483804af0e77f88e0a156666c47f815f4711c2b2c887c57
Homepage: https://cran.r-project.org/package=MultiGlarmaVarSel
Description: CRAN Package 'MultiGlarmaVarSel' (Variable Selection in Sparse Multivariate GLARMA Models)
 Performs variable selection in high-dimensional sparse GLARMA models. For
 further details we refer the reader to the paper Gomtsyan et al. (2022),
 <arXiv:2208.14721>.

Package: r-cran-multigraph
Architecture: all
Version: 0.99-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multiplex
Filename: pool/dists/focal/main/r-cran-multigraph_0.99-3-1.ca2004.1_all.deb
Size: 410512
MD5sum: 47f7f4efcb3d735e961d0015df0de1bc
SHA1: cfe3d2600bf8a0f6d63ee7d73a577470a9a7659e
SHA256: 6a11cf34fdc70b094550d7c1c944b65fb5d3a1961f4e20ecbe270735e27e17fb
SHA512: 75a2f83cd06d9a34676edf395967662c9eb914e9ecda7ddeffd461142792c2084ccdca9ea72c43ce4ead4f7e31918e662cca17a6d9196f173f8721fd479f3389
Homepage: https://cran.r-project.org/package=multigraph
Description: CRAN Package 'multigraph' (Plot and Manipulate Multigraphs)
 Functions to plot and manipulate multigraphs, signed and valued graphs,
 bipartite graphs, multilevel graphs, and Cayley graphs with various layout
 options.

Package: r-cran-multigraphr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2439
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multigraphr_0.2.0-1.ca2004.1_all.deb
Size: 1859864
MD5sum: c3489551bbc398ca69ccf5529a866b52
SHA1: b8dacf76324668836dc13925e09d4048d21113b3
SHA256: 70155c7f389fb55ff065a127f0165b36cfdd1f27e1c0b36ffe427bbad14e2cdf
SHA512: 732199131086b3880b02c6999e7404b9914080e2297de30a8af20f882e4516d945ed54e6405b9a5488ad7967f8b76fa4b18c6a1bb6a4739341cb48676417aa77
Homepage: https://cran.r-project.org/package=multigraphr
Description: CRAN Package 'multigraphr' (Probability Models and Statistical Analysis of RandomMultigraphs)
 Methods and models for analysing multigraphs as introduced by Shafie (2015)
 <doi:10.21307/joss-2019-011>, including methods to study local and global
 properties <doi:10.1080/0022250X.2016.1219732> and goodness of fit tests.

Package: r-cran-multigrey
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multigrey_0.1.0-1.ca2004.1_all.deb
Size: 18564
MD5sum: b2f12cf4c1e7548836a6232f6063d906
SHA1: 9fad37eb42a5bcd837a03b1946c9e988683771db
SHA256: c6e842d0dee5e22c95bfed5c658b4ca734e1faba4763d5d9db9ba22e994310db
SHA512: 05ffbdc57282b45d9e4de6fb66c8add81fdd97d2b1c6e6ad6a596761e4e23a3f89bd4bc53fb01bb2771860944c5a65fac9250f96e44c8c6796d7df72c2412667
Homepage: https://cran.r-project.org/package=MultiGrey
Description: CRAN Package 'MultiGrey' (Fitting and Forecasting of Grey Model for Multivariate TimeSeries Data)
 Grey model is commonly used in time series forecasting when statistical
 assumptions are violated with a limited number of data points. The minimum
 number of data points required to fit a grey model is four observations.
 This package fits Grey model of First order and One Variable, i.e., GM (1,1)
 for multivariate time series data and returns the parameters of the model,
 model evaluation criteria and h-step ahead forecast values for each of the
 time series variables. For method details see, Akay, D. and Atak, M. (2007)
 <DOI:10.1016/j.energy.2006.11.014>, Hsu, L. and Wang, C.
 (2007).<DOI:10.1016/j.techfore.2006.02.005>.

Package: r-cran-multigroup
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multigroup_0.4.5-1.ca2004.1_all.deb
Size: 176856
MD5sum: 4a77689a799dbd2b74cb58ba7b94b3a7
SHA1: a47b16e16ad6a70c548770fcb9b65353d0b95188
SHA256: 96b5054ee2a7143e8ba46c50327115401a1d858b1d26e355339929f5d60aee96
SHA512: 627067938f88511c505276ae1061fcdba3f9ee4e071858c71fa9e47a702646470a0744f654509652a803b1fa259c584af86d4a3eef6847ab8d953d214be56d69
Homepage: https://cran.r-project.org/package=multigroup
Description: CRAN Package 'multigroup' (Multigroup Data Analysis)
 Multivariate analysis methods including principal component analysis,
 partial least square regression, and multiblock analysis to describe,
 summarize, and visualize data with a group structure.

Package: r-cran-multigroupo
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-rlist, r-cran-expm, r-cran-ggplot2, r-cran-gridextra, r-cran-cowplot, r-cran-plsgenomics, r-cran-gplots, r-cran-ggrepel, r-cran-qgraph, r-cran-mgm, r-cran-lemon
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-multigroupo_0.4.0-1.ca2004.1_all.deb
Size: 253288
MD5sum: 7887b6681a46ff496b1d475748c405b3
SHA1: b97353d5b1d2040edf3e8370d76d954acd9638b1
SHA256: d220ad05567b9562aae2e30d174dae419edbcb61c44c16a9097cd8f29ff23dee
SHA512: 3440ece48f64174728042af88bef00471931393673c261b3f629bf7ea76aca668f4d0df59adce270b465ab1aeaada04bec892eeb2f52385ddd8d91d8ea29ee08
Homepage: https://cran.r-project.org/package=MultiGroupO
Description: CRAN Package 'MultiGroupO' (MultiGroup Method and Simulation Data Analysis)
 Two method new of multigroup and simulation of data.  The first technique
 called multigroup PCA (mgPCA) this multivariate exploration approach that
 has the idea of considering the structure of groups and / or different types
 of variables. On the other hand, the second multivariate technique called
 Multigroup Dimensionality Reduction (MDR) it is another multivariate
 exploration method that is based on projections. In addition, a method
 called Single Dimension Exploration (SDE) was incorporated for to analyze
 the exploration of the data. It could help us in a better way to observe the
 behavior of the multigroup data with certain variables of interest.

Package: r-cran-multigroupsequential
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openmx, r-cran-hommel
Filename: pool/dists/focal/main/r-cran-multigroupsequential_1.1.0-1.ca2004.1_all.deb
Size: 77568
MD5sum: 69a3d251e6c915d2a9a4da93caec6c7b
SHA1: 76334c2dde1c66828a6434a697f6a3371f51ceec
SHA256: 6a8ab6afffb858e4881dbeb88713351ae1ce576905976eca32529c6e8b650a33
SHA512: 44fab476e974d9f3e9930903d1719242f637d24ab2478efc9dd7cc4a447e4beaf1eba827a6cb46a1efae0e5504eeb95fa556afd6070aea4bce5b89a56db13595
Homepage: https://cran.r-project.org/package=MultiGroupSequential
Description: CRAN Package 'MultiGroupSequential' (Group-Sequential Procedures with Multiple Hypotheses)
 It is often challenging to strongly control the family-wise type-1 error
 rate in the group-sequential trials with multiple endpoints (hypotheses).
 The inflation of type-1 error rate comes from two sources (S1) repeated
 testing individual hypothesis and (S2) simultaneous testing multiple
 hypotheses. The 'MultiGroupSequential' package is intended to help
 researchers to tackle this challenge. The procedures provided include the
 sequential procedures described in Luo and Quan (2023)
 <doi:10.1080/19466315.2023.2191989> and the graphical procedure proposed by
 Maurer and Bretz (2013) <doi:10.1080/19466315.2013.807748>. Luo and Quan
 (2013) describes three procedures, and the functions to implement these
 procedures are (1) seqgspgx() implements a sequential graphical procedure
 based on the group-sequential p-values; (2) seqgsphh() implements a
 sequential Hochberg/Hommel procedure based on the group-sequential p-values;
 and (3) seqqvalhh() implements a sequential Hochberg/Hommel procedure based
 on the q-values. In addition, seqmbgx() implements the sequential graphical
 procedure described in Maurer and Bretz (2013).

Package: r-cran-multihorizonspa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matlab
Filename: pool/dists/focal/main/r-cran-multihorizonspa_1.0.0-1.ca2004.1_all.deb
Size: 334776
MD5sum: d29bfc5324e4f8a49a742220efaca568
SHA1: 3592746b6549f6474c0c8c017fb87458d794310e
SHA256: fbd266372c69a3293634683db51ac306464c6af7beb64e13f32700be626eefab
SHA512: 40a70c1895cd0aff6d69d004ae4d017d4da81c433819cce6a7f1b774490e7f4d63256da6a7a217ea701d5bba10c0dba25cf8edfafc91e1660fda88b0695af750
Homepage: https://cran.r-project.org/package=MultiHorizonSPA
Description: CRAN Package 'MultiHorizonSPA' (Multi Horizon Superior Predictive Ability)
 Run the Multi Horizon Superior Predictive Ability test to compare the
 predictive performance of two distinct models when jointly considering all
 horizons of a forecast path.

Package: r-cran-multijoin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multijoin_0.1.1-1.ca2004.1_all.deb
Size: 76568
MD5sum: aef494a5f2bd9b078d8572c8d82e1e18
SHA1: 43fd2030620e0a16082ad26cf38ebb1eb21c949a
SHA256: 7461d5325fb23d8cb1b4b1ff8acc46277419bc9e287a3091e73f046503a58215
SHA512: e3bcfa52b1dafcbf136311dcead52c873bb1527d815e63687c5ada2436b09f8f1c2c50a16ec4eb8c5813197f1abbaecffc084510313f474ac62baea6d66fe5f4
Homepage: https://cran.r-project.org/package=MultiJoin
Description: CRAN Package 'MultiJoin' (Enables Efficient Joining of Data File on Common Fields usingthe Unix Utility Join)
 Wrapper around the Unix join facility which is more efficient than the
 built-in R routine merge().  The package enables the joining of multiple
 files on disk at once.  The files can be compressed and various filters can
 be deployed before joining.  Compiles only under Unix.

Package: r-cran-multikink
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-quantreg, r-cran-gam, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-multikink_0.2.0-1.ca2004.1_all.deb
Size: 83076
MD5sum: 23a639b652b4745557cd8ea82a80da6f
SHA1: 34d7703ae3b40d707257b16855ffd294d46aca20
SHA256: f1240a19c8eee7981b3ca665b7af057ef655d6fc0cad4cf01e58b133bdda1451
SHA512: 3b1b4a768982b0ef4030337a65c37c62750a6bf9fca0fae1588707964ba72f367832d822120b65cd818fc5830f9aced6028917dcde58c7562f89d63704930be2
Homepage: https://cran.r-project.org/package=MultiKink
Description: CRAN Package 'MultiKink' (Estimation and Inference for Multi-Kink Quantile Regression)
 Estimation and inference for multiple kink quantile regression for
 longitudinal data and the i.i.d data. A bootstrap restarting iterative
 segmented quantile algorithm is proposed to estimate the multiple kink
 quantile regression model conditional on a given number of change points.
 The number of kinks is also allowed to be unknown. In such case, the
 backward elimination algorithm and the bootstrap restarting iterative
 segmented quantile algorithm are combined to select the number of change
 points based on a quantile BIC. For longitudinal data, we also develop the
 GEE estimator to incorporate the within-subject correlations.  A score-type
 based test statistic is also developed for testing the existence of kink
 effect. The package is based on the paper, ``Wei Zhong, Chuang Wan and
 Wenyang Zhang (2022). Estimation and inference for multikink quantile
 regression, JBES'' and ``Chuang Wan, Wei Zhong, Wenyang Zhang and Changliang
 Zou (2022). Multi-kink quantile regression for longitudinal data with
 application to progesterone data analysis, Biometrics".

Package: r-cran-multilandr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4960
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-ggally, r-cran-ggplot2, r-cran-tidyterra, r-cran-gridextra, r-cran-landscapemetrics, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multilandr_1.0.0-1.ca2004.1_all.deb
Size: 4660392
MD5sum: 0fc473314e0148812d91315ae8bf2cef
SHA1: d8a6d538ebdccc96c1ca5b33f3e94c18b417516b
SHA256: ea1dfd9f0496011af9dd51aece3b9def845309d4f1061766962ce5b663dc82c5
SHA512: 2b84f4238ed3261577c3950154cfe99278e7cdfaf12f542bfd90003b6775745ff1975b9b1b6a9887a62a59b7b1c2a5fb6a21ad4d93cd378dec33b50d0fc8f2c8
Homepage: https://cran.r-project.org/package=multilandr
Description: CRAN Package 'multilandr' (Landscape Analysis at Multiple Spatial Scales)
 Provides a tidy workflow for landscape-scale analysis. 'multilandr' offers
 tools to generate landscapes at multiple spatial scales and compute
 landscape metrics, primarily using the 'landscapemetrics' package. It also
 features utility functions for plotting and analyzing multi-scale
 landscapes, exploring correlations between metrics, filtering landscapes
 based on specific conditions, generating landscape gradients for a given
 metric, and preparing datasets for further statistical analysis.
 Documentation about 'multilandr' is provided in an introductory vignette
 included in this package and in the paper by Huais (2024)
 <doi:10.1007/s10980-024-01930-z>; see citation("multilandr") for details.

Package: r-cran-multilateral
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1082
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive, r-cran-data.table, r-cran-fastmatch, r-cran-yaml, r-cran-matrixmodels
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-multilateral_1.0.0-1.ca2004.1_all.deb
Size: 895196
MD5sum: 13a8dfac250b7181134782ddd7247f60
SHA1: cc6e477a6e3fc79fbacf496916044b6a4e86880c
SHA256: cf6dcd474984f208fbeedb7d25b745299412f80dad8e8a8393427764330a21f9
SHA512: 4da0dcbc29f7ed7bc2216803dcadc956a9c746c3433e7b2eb33d5414c737ac001223bfac32b88dcb90ca92eb77aafccf7fedf1d8d8cae8cbc9fdf4a317ab35b5
Homepage: https://cran.r-project.org/package=multilateral
Description: CRAN Package 'multilateral' (Generalised Function to Calculate a Variety of MultilateralPrice Index Methods)
 A flexible, efficient implementation of multilateral price index
 calculations.  Includes common methods focused on time product dummy
 regression and GEKS variations.  Allows for extension of the methods through
 automatic window splicing.  See Krsinich (2016) <doi:
 10.1515/jos-2016-0021>.

Package: r-cran-multilaterals
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-igraph
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-multilaterals_2.0-1.ca2004.1_all.deb
Size: 80692
MD5sum: d8b8e8b48e692cbc5549b72377134702
SHA1: f7532ca50e3c68b485fdacf3dec95f50e1f72275
SHA256: d4ae64ba41ca57d7b9cf41336244e5252119caf5c96204f18d800b6d3bc493f7
SHA512: d4df71da6a784a8e4069a445b9a669104eacd340741df2ad9e2097643699c97dc84c82778fb80f5a2e0bb4c218b9180864ef290999984b66d1f5c13315d3a6bb
Homepage: https://cran.r-project.org/package=multilaterals
Description: CRAN Package 'multilaterals' (Transitive Index Numbers for Cross-Sections and Panel Data)
 Computing transitive (and non-transitive) index numbers (Coelli et al., 2005
 <doi:10.1007/b136381>) for cross-sections and panel data. For the
 calculation of transitive indexes, the EKS (Coelli et al., 2005
 <doi:10.1007/b136381>; Rao et al., 2002 <doi:10.1007/978-1-4615-0851-9_4>)
 and Minimum spanning tree (Hill, 2004 <doi:10.1257/0002828043052178>)
 methods are implemented. Traditional fixed-base and chained indexes, and
 their growth rates, can also be derived using the Paasche, Laspeyres, Fisher
 and Tornqvist formulas.

Package: r-cran-multilevel
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-mass
Filename: pool/dists/focal/main/r-cran-multilevel_2.7-1.ca2004.1_all.deb
Size: 483340
MD5sum: 75ec087b23e381c02c1d4debb8c323b2
SHA1: af4caa6cb220a89daeb0315622a104e99ab52ec8
SHA256: cb49394362d5ecca35dac235f7980ec832d9d86bafd6eaf9223d3012bdeb253a
SHA512: ca20868f9ba6b978a4a07b50402deffce3e009c4dfd8cb0f2a13b3193de56b627757078fcaa3f647d679ae595e88e506b2e0dcf94b48e6ed677ab3df85516024
Homepage: https://cran.r-project.org/package=multilevel
Description: CRAN Package 'multilevel' (Multilevel Functions)
 Tools used by organizational researchers for the analysis of multilevel
 data. Includes four broad sets of tools. First, functions for estimating
 within-group agreement and reliability indices. Second, functions for
 manipulating multilevel and longitudinal (panel) data. Third, simulations
 for estimating power and generating multilevel data. Fourth, miscellaneous
 functions for estimating reliability and performing simple calculations and
 data transformations.

Package: r-cran-multilevelcoda
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8101
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-compositions, r-cran-brms, r-cran-bayestestr, r-cran-extraoperators, r-cran-ggplot2, r-cran-foreach, r-cran-future, r-cran-dofuture, r-cran-abind, r-cran-shiny, r-cran-shinystan, r-cran-loo, r-cran-bayesplot, r-cran-emmeans, r-cran-posterior, r-cran-plotly, r-cran-hrbrthemes, r-cran-htmltools, r-cran-bslib, r-cran-dt, r-cran-fs
Suggests: r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-knitr, r-cran-rmarkdown, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-multilevelcoda_1.3.2-1.ca2004.1_all.deb
Size: 2764256
MD5sum: 59dbf08b1cb9837f6cb437a847633408
SHA1: 4f18a604a846fd97eff9d4c40582e545b0936cb8
SHA256: b033c88a0459f11f26c571216dbb6645f2a5245c56de7a3de4609a573cab1190
SHA512: 5d752a718901181cb6a325181110a0fc1dcd28a7384a655afbfe86b5160ba70d3fef01a19962c66833b7d97ea322ef7442f2f9dea07132ba72f381f045e6c808
Homepage: https://cran.r-project.org/package=multilevelcoda
Description: CRAN Package 'multilevelcoda' (Estimate Bayesian Multilevel Models for Compositional Data)
 Implement Bayesian multilevel modelling for compositional data.  Compute
 multilevel compositional data and perform log-ratio transforms at between
 and within-person levels, fit Bayesian multilevel models for compositional
 predictors and outcomes, and run post-hoc analyses such as isotemporal
 substitution models.  References: Le, Stanford, Dumuid, and Wiley (2025)
 <doi:10.1037/met0000750>, Le, Dumuid, Stanford, and Wiley (2024)
 <doi:10.48550/arXiv.2411.12407>.

Package: r-cran-multilevelmediation
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-furrr, r-cran-future, r-cran-matrixcalc, r-cran-mcmcpack, r-cran-nlme, r-cran-parallelly, r-cran-tidyr, r-cran-brms, r-cran-posterior, r-cran-glmmtmb
Suggests: r-cran-testthat, r-cran-boot, r-cran-bh
Filename: pool/dists/focal/main/r-cran-multilevelmediation_0.4.1-1.ca2004.1_all.deb
Size: 157700
MD5sum: d60ba501e62b262b72123f0150624740
SHA1: bc50b14e4d68183bc4063ca480df07b4c339d616
SHA256: b50f19bf77f0a4811f40fb06cfe4eef333c3b3087688ae05b05b64fed227c57e
SHA512: 75ba3254a706863d5aaec98b56a348022eec591b16bf4774231e718961975b2b594c5b1e1ea1224ec162b8e692f3312f2c2f1a9bdd6f20bf2d62fc496b9b85b9
Homepage: https://cran.r-project.org/package=multilevelmediation
Description: CRAN Package 'multilevelmediation' (Utility Functions for Multilevel Mediation Analysis)
 The ultimate goal is to support 2-2-1, 2-1-1, and 1-1-1 models for
 multilevel mediation, the option of a moderating variable for either the a,
 b, or both paths, and covariates. Currently the 1-1-1 model is supported and
 several options of random effects; the initial code for bootstrapping was
 evaluated in simulations by Falk, Vogel, Hammami, and Miočević (2024)
 <doi:10.3758/s13428-023-02079-4>.  Support for Bayesian estimation using
 'brms' comprises ongoing work. Currently only continuous mediators and
 outcomes are supported. Factors for any predictors must be numerically
 represented.

Package: r-cran-multilevelmod
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-parsnip, r-cran-dplyr, r-cran-lme4, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-gee, r-cran-ggplot2, r-cran-knitr, r-cran-nlme, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidymodels
Filename: pool/dists/focal/main/r-cran-multilevelmod_1.0.0-1.ca2004.1_all.deb
Size: 198192
MD5sum: 26fc1f1eae802880855348facc4351de
SHA1: b082995a7f115ccaec0c4ad8f3b1e8ddf69c14fb
SHA256: 6ae59b453bda3adb1914cf22e2f56dee2bce20210b6749eef3c418fb410be05c
SHA512: 45105998af1aeda54ad72e5d0643f2fec7ba6928f313379d94b53029fbe78f7f4c19040344212de33ed76c2d43e105cc9b6f9a748f46793b3d14031247e5a644
Homepage: https://cran.r-project.org/package=multilevelmod
Description: CRAN Package 'multilevelmod' (Model Wrappers for Multi-Level Models)
 Bindings for hierarchical regression models for use with the 'parsnip'
 package. Models include longitudinal generalized linear models (Liang and
 Zeger, 1986) <doi:10.1093/biomet/73.1.13>, and mixed-effect models (Pinheiro
 and Bates) <doi:10.1007/978-1-4419-0318-1_1>.

Package: r-cran-multileveloptimalbayes
Architecture: all
Version: 0.0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multileveloptimalbayes_0.0.1.6-1.ca2004.1_all.deb
Size: 83812
MD5sum: f76153e23e784806a5aa34a086940107
SHA1: 1f46dacc3194e7a94d52cbcd0d8b934d5576a01a
SHA256: d696cc49e327739a5956310cdab2bedf858ca7911c129e680dc7e4411e4ed0bf
SHA512: 29af57f3cb6899b34b9ba8694b831411b8883063e1d62a4e125b6ca5edc1101175bdcd83aad57e31a0edc25ac0fdbdfabddb3310bc12bae26bee73d594f451fe
Homepage: https://cran.r-project.org/package=MultiLevelOptimalBayes
Description: CRAN Package 'MultiLevelOptimalBayes' (Regularized Bayesian Estimator for Two-Level Latent VariableModels)
 Implements a regularized Bayesian estimator that optimizes the estimation of
 between-group coefficients for multilevel latent variable models by
 minimizing mean squared error (MSE) and balancing variance and bias. The
 package provides more reliable estimates in scenarios with limited data,
 offering a robust solution for accurate parameter estimation in two-level
 latent variable models. It is designed for researchers in psychology,
 education, and related fields who face challenges in estimating
 between-group effects under small sample sizes and low intraclass
 correlation coefficients. Dashuk et al. (2024)
 <doi:10.13140/RG.2.2.18148.39048> derived the optimal regularized Bayesian
 estimator; Dashuk et al. (2024) <doi:10.13140/RG.2.2.34350.01604> extended
 it to the multivariate case; and Luedtke et al. (2008)
 <doi:10.1037/a0012869> formalized the two-level latent variable framework.

Package: r-cran-multilevelpsa
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3095
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-xtable, r-cran-mass, r-cran-party, r-cran-plyr, r-cran-psagraphics, r-cran-psych, r-cran-reshape
Suggests: r-cran-knitr, r-cran-matchit, r-cran-mice, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multilevelpsa_1.3.0-1.ca2004.1_all.deb
Size: 2846036
MD5sum: 2cfbb5cb851bdca2dc265b9b743fd0ba
SHA1: 0f422a88bbdbe1bbbee915411b897be7a2d53e32
SHA256: 45fe800281b7a28f4cc3f8f10f0bb6be0e3f5b2d8e725778d44f9edbf140086d
SHA512: 4999f34018409ffee50542340cc7b5656c1a716d38ed7109bb94d8a830d1d9d65c63fbeb11d8d7d97249a80488b025e6d3ed43edcc532dbae0a95a77c71a180f
Homepage: https://cran.r-project.org/package=multilevelPSA
Description: CRAN Package 'multilevelPSA' (Multilevel Propensity Score Analysis)
 Conducts and visualizes propensity score analysis for multilevel, or
 clustered data. Bryer & Pruzek (2011) <doi:10.1080/00273171.2011.636693>.

Package: r-cran-multileveltools
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-lmertest, r-cran-data.table, r-cran-nlme, r-cran-extraoperators, r-cran-jwileymisc, r-cran-ggplot2, r-cran-ggpubr, r-cran-scales, r-cran-lavaan, r-cran-zoo, r-cran-brms, r-cran-testthat
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-multileveltools_0.2.0-1.ca2004.1_all.deb
Size: 682028
MD5sum: c2bcda9c6a737d9d63847b3c0b14e3e1
SHA1: 6d534fdd758d5cea4cace58bcbf04f56c3a86d0d
SHA256: 267763f1cdd49085b0e02416aff5ed1ffce258c9fc46e708dd51bcb63e22eba3
SHA512: e11d4b43c935e164d0021dd7daa6dea2b809990c9f796e1078bc340c2876294a60d57bab7f4224a3ea3653ee5a028b668e32c269a1f506f8b30eb124cd3a71ce
Homepage: https://cran.r-project.org/package=multilevelTools
Description: CRAN Package 'multilevelTools' (Multilevel and Mixed Effects Model Diagnostics and Effect Sizes)
 Effect sizes, diagnostics and performance metrics for multilevel and mixed
 effects models.  Includes marginal and conditional 'R2' estimates for linear
 mixed effects models based on Johnson (2014) <doi:10.1111/2041-210X.12225>.

Package: r-cran-multilinguer
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 674
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sys, r-cran-rappdirs, r-cran-usethis, r-cran-askpass
Filename: pool/dists/focal/main/r-cran-multilinguer_0.2.4-1.ca2004.1_all.deb
Size: 616992
MD5sum: 55b7836b966c8b5d0ddb2a33fbcf64bc
SHA1: 57e9c1a886537d6fe999c65c6857ee408e13cc92
SHA256: a17ee9e2bafc75b31c2442de190ffa5882fa2320b9487bc234f929621d1db4b3
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Homepage: https://cran.r-project.org/package=multilinguer
Description: CRAN Package 'multilinguer' (Gentle Language Installer for R User)
 Provides install functions of other languages such as 'java', 'python'.

Package: r-cran-multimarker
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm, r-cran-ordinalnet
Filename: pool/dists/focal/main/r-cran-multimarker_1.0.1-1.ca2004.1_all.deb
Size: 73332
MD5sum: c9947c6e956f61382812bb4b866df771
SHA1: 0f036059d1c855132863c05c9f2a474673929236
SHA256: a6b53d110b022e24c79851a647fbb1e5895c6f5a4c42831aecc3c52b9f6d56f6
SHA512: 9e175f44b5106e85a934f7eb965c50897816d519e9b096ebb08c4a0025bb9007718b11f2572ef328b70c89f4d11d7bd33f75c39a0b3fd607e463690bf6084b4e
Homepage: https://cran.r-project.org/package=multiMarker
Description: CRAN Package 'multiMarker' (Latent Variable Model to Infer Food Intake from MultipleBiomarkers)
 A latent variable model based on factor analytic and mixture of experts
 models, designed to infer food intake from multiple biomarkers data. The
 model is framed within a Bayesian hierarchical framework, which provides
 flexibility to adapt to different biomarker distributions and facilitates
 inference on food intake from biomarker data alone, along with the
 associated uncertainty. Details are in D'Angelo, et al. (2020)
 <arXiv:2006.02995>.

Package: r-cran-multimedia
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1643
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-glmnetutils, r-cran-ranger, r-cran-tidyselect, r-cran-mass, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-cran-cli, r-cran-dplyr, r-cran-fansi, r-cran-formula.tools, r-cran-ggplot2, r-cran-glue, r-cran-minilnm, r-cran-patchwork, r-bioc-phyloseq, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-tidygraph, r-cran-tidyr
Suggests: r-cran-compositions, r-cran-ggdist, r-cran-ggraph, r-cran-ggrepel, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse, r-cran-vroom
Filename: pool/dists/focal/main/r-cran-multimedia_0.2.0-1.ca2004.1_all.deb
Size: 1204912
MD5sum: 780bb66df03a9081b5fbc50c9d2eee97
SHA1: a74bd3a80153a6ca4fbeb1443d2adedbfb091782
SHA256: 815066a73621b4f0e8e85b8623afd5ac7d2bd6773a8bdf433c06602a6be57e96
SHA512: d27c99c29e7a111d756d2b8b79b7fb97848aab6e690e37aa41fc024e72ba32af8dd5d745b94438d65e4a9a4d12a384deacdad343b21e00edd053b07d840dfb4a
Homepage: https://cran.r-project.org/package=multimedia
Description: CRAN Package 'multimedia' (Multimodal Mediation Analysis)
 Multimodal mediation analysis is an emerging problem in microbiome data
 analysis. Multimedia make advanced mediation analysis techniques easy to
 use, ensuring that all statistical components are transparent and adaptable
 to specific problem contexts. The package provides a uniform interface to
 direct and indirect effect estimation, synthetic null hypothesis testing,
 bootstrap confidence interval construction, and sensitivity analysis. More
 details are available in Jiang et al. (2024) "multimedia: Multimodal
 Mediation Analysis of Microbiome Data" <doi:10.1101/2024.03.27.587024>.

Package: r-cran-multimix
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-multimix_1.0-10-1.ca2004.1_all.deb
Size: 134920
MD5sum: b2b08c98be833a720a77a9bf1bff68c5
SHA1: 99a2171ca4e2240aaf69a35a53b6a13d93d7bbc4
SHA256: 0695d0a0274f1c74343c0f60bc10c05d5febaf2bc782b839198c21e9770e3fc8
SHA512: 0f70ef08b750c86097221fe3226365498d16dfc4c405e24ed98b3bf96201a2f5503e6c34abd52d03d7203f4c2a4280cf74afe26d3e3a346d28510111f479b54c
Homepage: https://cran.r-project.org/package=multimix
Description: CRAN Package 'multimix' (Fit Mixture Models Using the Expectation Maximisation (EM)Algorithm)
 A set of functions which use the Expectation Maximisation (EM) algorithm
 (Dempster, A. P., Laird, N. M., and Rubin, D. B. (1977)
 <doi:10.1111/j.2517-6161.1977.tb01600.x> Maximum likelihood from incomplete
 data via the EM algorithm, Journal of the Royal Statistical Society, 39(1),
 1--22) to take a finite mixture model approach to clustering. The package is
 designed to cluster multivariate data that have categorical and continuous
 variables and that possibly contain missing values. The method is described
 in Hunt, L. and Jorgensen, M. (1999) <doi:10.1111/1467-842X.00071>
 Australian & New Zealand Journal of Statistics 41(2), 153--171 and Hunt, L.
 and Jorgensen, M. (2003) <doi:10.1016/S0167-9473(02)00190-1> Mixture model
 clustering for mixed data with missing information, Computational Statistics
 & Data Analysis, 41(3-4), 429--440.

Package: r-cran-multimolang
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 639
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-multimolang_0.1.1-1.ca2004.1_all.deb
Size: 194020
MD5sum: bb869fe5ca8773e736e9bf36cbfea0a0
SHA1: d93abddcc9f3b73c7d3977ce42b9cdbef6f5e579
SHA256: b34cfd4c4d487ab3671351bf73d450b6485a13f452f41f511813b604e796d37c
SHA512: 9b2cb3d2268ee56a0694f8c154383210a542702d7f7b054619a590a06d166e7bd75fe210f3e1b2c39a0edf304e16ab8599ff1343f05ead836ae99c0ec5cf540d
Homepage: https://cran.r-project.org/package=multimolang
Description: CRAN Package 'multimolang' ('multimolang': Multimodal Language Analysis)
 Process 'OpenPose' human body keypoints for computer vision, including data
 structuring and user-defined linear transformations for standardization. It
 optionally, includes metadata extraction from filenames in the UCLA
 'NewsScape' archive.

Package: r-cran-multimorbidity
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-stringr, r-cran-rlang, r-cran-tidyselect, r-cran-tidyr, r-cran-sqldf
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-multimorbidity_0.5.1-1.ca2004.1_all.deb
Size: 309624
MD5sum: 62f9e85432b6b24381be4183768d3595
SHA1: 36c6fe0af45854efbd3d2f66f74c89ad1b105dcf
SHA256: f6494c3ed56a86b9c2a213cfe69c799e02662c0fdcc868bd9332a09a5542dd63
SHA512: ff14997478ec064d9b8795fc1ddd03ea03906a204956c1fe03dc0fbd66e5b03fca6babe08271a1873d83fef1e48f28a06355e4d2025e975db46695cd364ab40b
Homepage: https://cran.r-project.org/package=multimorbidity
Description: CRAN Package 'multimorbidity' (Harmonizing Various Comorbidity, Multimorbidity, and FrailtyMeasures)
 Identifying comorbidities, frailty, and multimorbidity in claims and
 administrative data is often a duplicative process.  The functions contained
 in this package are meant to first prepare the data to a format acceptable
 by all other packages, then provide a uniform and simple approach to
 generate comorbidity and multimorbidity metrics based on these claims data.
 The package is ever evolving to include new metrics, and is always looking
 for new measures to include.  The citations used in this package include the
 following publications: Anne Elixhauser, Claudia Steiner, D. Robert Harris,
 Rosanna M. Coffey (1998) <doi:10.1097/00005650-199801000-00004>, Brian J
 Moore, Susan White, Raynard Washington, et al. (2017)
 <doi:10.1097/MLR.0000000000000735>, Mary E. Charlson, Peter Pompei, Kathy L.
 Ales, C. Ronald MacKenzie (1987) <doi:10.1016/0021-9681(87)90171-8>, Richard
 A. Deyo, Daniel C. Cherkin, Marcia A. Ciol (1992)
 <doi:10.1016/0895-4356(92)90133-8>, Hude Quan, Vijaya Sundararajan, Patricia
 Halfon, et al. (2005) <doi:10.1097/01.mlr.0000182534.19832.83>, Dae Hyun
 Kim, Sebastian Schneeweiss, Robert J Glynn, et al. (2018)
 <doi:10.1093/gerona/glx229>, Melissa Y Wei, David Ratz, Kenneth J Mukamal
 (2020) <doi:10.1111/jgs.16310>, Kathryn Nicholson, Amanda L. Terry, Martin
 Fortin, et al. (2015) <doi:10.15256/joc.2015.5.61>, Martin Fortin, José
 Almirall, and Kathryn Nicholson (2017)<doi:10.15256/joc.2017.7.122>.

Package: r-cran-multiness
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-multiness_1.0.2-1.ca2004.1_all.deb
Size: 374084
MD5sum: 633e6116cd2763cf7130b1db09804cc4
SHA1: dca77077003cc1bc6439df7e55168478cbb41141
SHA256: 1611c39363ffd2c9974464e1bc25b4cae35363dc5eece292c6f92e5c5f0002c6
SHA512: 9930695cf014116abbf4e9993340853f0848085f37934a5c9c71fb1c1b436edee876c0585b19a6abf16208d9a58e7fe12af4459f0d8c967989a1d5a46882d6be
Homepage: https://cran.r-project.org/package=multiness
Description: CRAN Package 'multiness' (MULTIplex NEtworks with Shared Structure)
 Model fitting and simulation for Gaussian and logistic inner product
 MultiNeSS models for multiplex networks. The package implements a convex
 fitting algorithm with fully adaptive parameter tuning, including options
 for edge cross-validation. For more details see MacDonald et al. (2020).

Package: r-cran-multinmix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-clustergeneration, r-cran-mvtnorm, r-cran-extradistr, r-cran-rstan, r-cran-abind, r-cran-coda
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-multinmix_0.1.0-1.ca2004.1_all.deb
Size: 175960
MD5sum: 4d39c7224e2df027a6b2a00793885712
SHA1: 6c77423dff9118aca043aed1969ab3ab01216bdb
SHA256: a7ca72e1add71c7875596180407cd16068786433535172bb988369c7190366a0
SHA512: f3a093f82729cad5325680d6cbb80808d485cac8ff9e3fe84b4ded629e49649a58e4214ab26a0037c8d29319528b7b0f142a434ffe16c9d6f155d59c7e024360
Homepage: https://cran.r-project.org/package=MultiNMix
Description: CRAN Package 'MultiNMix' (Multi-Species N-Mixture (MNM) Models with 'nimble')
 Simulating data and fitting multi-species N-mixture models using 'nimble'.
 Includes features for handling zero-inflation and temporal correlation,
 Bayesian inference, model diagnostics, parameter estimation, and predictive
 checks. Designed for ecological studies with zero-altered or time-series
 data. Mimnagh, N., Parnell, A., Prado, E., & Moral, R. A. (2022)
 <doi:10.1007/s10651-022-00542-7>. Royle, J. A. (2004)
 <doi:10.1111/j.0006-341X.2004.00142.x>.

Package: r-cran-multinomialci
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multinomialci_1.2-1.ca2004.1_all.deb
Size: 20040
MD5sum: 0b45d64407abcb8e0d795e2e2cfd3226
SHA1: 72e92986f93bc2e9a407970f942c235151c17f61
SHA256: b2581719a459c400daab63ffa7a7e3ba24ac0756c622da37f89848fd754f110c
SHA512: 6ce9a7e3aacdffd5f7d0107d2eb9b6eecf04f700a83b36dca3c817bbaa99f5b679dbc02d7021d4cac1a32f7ae0a1ace300fa3804c9bb17e72903470039a7835f
Homepage: https://cran.r-project.org/package=MultinomialCI
Description: CRAN Package 'MultinomialCI' (Simultaneous Confidence Intervals for Multinomial ProportionsAccording to the Method by Sison and Glaz)
 An implementation of a method for building simultaneous confidence intervals
 for the probabilities of a multinomial distribution given a set of
 observations, proposed by Sison and Glaz in their paper: Sison, C.P and J.
 Glaz. Simultaneous confidence intervals and sample size determination for
 multinomial proportions. Journal of the American Statistical Association,
 90:366-369 (1995).  The method is an R translation of the SAS code
 implemented by May and Johnson in their paper: May, W.L. and W.D. Johnson.
 Constructing two-sided simultaneous confidence intervals for multinomial
 proportions for small counts in a large number of cells. Journal of
 Statistical Software 5(6) (2000).  Paper and code available at
 <DOI:10.18637/jss.v005.i06>.

Package: r-cran-multinttestfunc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-statmod, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multinttestfunc_0.3.0-1.ca2004.1_all.deb
Size: 142528
MD5sum: 1db0d1d00b5f7f8c5a0e72f7f02fc4e3
SHA1: 45cc7c53b6800db2b33d3ff5ddde41efae5b6e23
SHA256: 51142924d068724d6e735d79452f82892de63ec0f284129733f45497b08ecc63
SHA512: ddfcd7570924963676af7372966a8251c64b9157f9391d3a79817666ec5accdc4862ddd323fb5446b2626c2903906e55c64f5503e489edbb4eca03ec7b100f8a
Homepage: https://cran.r-project.org/package=multIntTestFunc
Description: CRAN Package 'multIntTestFunc' (Provides Test Functions for Multivariate Integration)
 Provides implementations of functions that can be used to test multivariate
 integration routines. The package covers six different integration domains
 (unit hypercube, unit ball, unit sphere, standard simplex, non-negative real
 numbers and R^n). For each domain several functions with different
 properties (smooth, non-differentiable, ...) are available. The functions
 are available in all dimensions n >= 1. For each function the exact value of
 the integral is known and implemented to allow testing the accuracy of
 multivariate integration routines. Details on the available test functions
 can be found at on the development website.

Package: r-cran-multiobjmatch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cobalt, r-cran-dplyr, r-cran-optmatch, r-cran-matchmulti, r-cran-fields, r-cran-plyr, r-cran-rcurl, r-cran-gtools, r-cran-rcbalance, r-cran-mass, r-cran-ggplot2, r-cran-rlang, r-cran-rlemon
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multiobjmatch_1.0.0-1.ca2004.1_all.deb
Size: 255336
MD5sum: 68b822008a4ddc8ea866dd7af8bfc850
SHA1: c90fb2af710b38974e3a88b7c080a542990da405
SHA256: 36ec3695e2af9f1917ef43c254db22cff7c5a0713832a55534e4a69aee453bc2
SHA512: 8302d15d21c61f9a3889a76997c7f8ea3ee49d30d097f031cffb136f95750a62fcc320e8019a4ca66cf4a14cdc96fef0651e478858d62e0490e0a037109104ee
Homepage: https://cran.r-project.org/package=MultiObjMatch
Description: CRAN Package 'MultiObjMatch' (Multi-Objective Matching Algorithm)
 Matching algorithm based on network-flow structure.  Users are able to
 modify the emphasis on three different optimization goals: two different
 distance measures and the number of treated units left unmatched. The method
 is proposed by Pimentel and Kelz (2019) <doi:10.1080/01621459.2020.1720693>.
 The 'rrelaxiv' package, which provides an alternative solver for the
 underlying network flow problems, carries an academic license and is not
 available on CRAN, but may be downloaded from Github at
 <https://github.com/josherrickson/rrelaxiv/>.

Package: r-cran-multiocc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-tmvtnorm, r-cran-truncnorm, r-cran-coda, r-cran-interp
Suggests: r-cran-knitr, r-cran-fields, r-cran-rmarkdown, r-cran-mcmcpack, r-cran-corrplot, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multiocc_0.2.3-1.ca2004.1_all.deb
Size: 158284
MD5sum: 22a16defd45b9f592bdf362422465280
SHA1: 1dd1b0aad02b3f8c4e4c630f2753f3bd7a3a76b2
SHA256: 6e1ccfbd0c36703480f4bdeca019251e2f711324aecf24c2363ba9232c72ac3c
SHA512: e5855ca8090e04d0e25c461b17df646c2b5a6db000ad097b2214d401bdda4e8a1f7b63438a5abb4c7aaceae0163c44b92b5cbd9daf86d1f6df905f82563c4071
Homepage: https://cran.r-project.org/package=multiocc
Description: CRAN Package 'multiocc' (Fits Multivariate Spatio-Temporal Occupancy Model)
 Spatio-temporal multivariate occupancy models can handle multiple species in
 occupancy models.  This method for fitting such models is described in
 Hepler and Erhardt (2021) "A spatiotemporal model for multivariate occupancy
 data".

Package: r-cran-multiord
Architecture: all
Version: 2.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor, r-cran-matrix, r-cran-psych
Filename: pool/dists/focal/main/r-cran-multiord_2.4.4-1.ca2004.1_all.deb
Size: 47660
MD5sum: 93633cd3ec39d438c66fef1d5b4ec80c
SHA1: 9e55cc56b5c624dfdcceca2d72c0a8261c90acb0
SHA256: 02337d0c31c40ebc1a94268ca58daa4d2b456ca48c1549120a4e59ad163e4ab4
SHA512: d40d465787ffc5f9b018dd94ebd292bc7fda2d99e6b438c043dadc5b56264d500c85be69323995db474ebd3e9118f0ad5ea39a51d106024fdb7f369fa7e0a38a
Homepage: https://cran.r-project.org/package=MultiOrd
Description: CRAN Package 'MultiOrd' (Generation of Multivariate Ordinal Variates)
 A method for multivariate ordinal data generation given marginal
 distributions and correlation matrix based on the methodology proposed by
 Demirtas (2006) <DOI:10.1080/10629360600569246>.

Package: r-cran-multipanelfigure
Architecture: all
Version: 2.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4172
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridgraphics, r-cran-gtable, r-cran-magick, r-cran-magrittr, r-cran-stringi
Suggests: r-bioc-complexheatmap, r-cran-lattice, r-cran-roxygen2, r-cran-venndiagram, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-multipanelfigure_2.1.6-1.ca2004.1_all.deb
Size: 2465988
MD5sum: 9fb3c6d0c010d87a026dc4b9c487855c
SHA1: e6d098cc0c4def85191622b8fda8e0a598fe99c7
SHA256: 2f692a744f5faa9a1b264ccdd6c8998d4a1ad44278dfc8a6c614a031eaf45eb3
SHA512: 9c240e4b5062ed5b8e3bf97665747243680476fa78e633285b4c4e30338da46356a689b33a668f4b86258aa6ce514a48404f24ef19dde8e19c37f31caefbbbff
Homepage: https://cran.r-project.org/package=multipanelfigure
Description: CRAN Package 'multipanelfigure' (Infrastructure to Assemble Multi-Panel Figures (from Grobs))
 Tools to create a layout for figures made of multiple panels, and to fill
 the panels with base, 'lattice', 'ggplot2' and 'ComplexHeatmap' plots,
 grobs, as well as content from all image formats supported by 'ImageMagick'
 (accessed through 'magick').

Package: r-cran-multiphen
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-abind, r-cran-epitools, r-cran-meta, r-cran-hardyweinberg, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-multiphen_2.0.3-1.ca2004.1_all.deb
Size: 511760
MD5sum: 57129c33ffc7f8514fabc59a5ed14e80
SHA1: 97249ea70b17f83778f6aeb87e5adf66bb8c5273
SHA256: b123f36633dba3c7a3a97665788f8a8c12b728c32855b7902fbe5cb7c75cae7e
SHA512: 164057cf75b3c95acea77403386e42bc0fed6f9ee5878be500636afdd4a6343e5b1e9f8c45973f8b4d05561fbd0c546fc078456a8eb32ca269b2cb38f4b5d2b3
Homepage: https://cran.r-project.org/package=MultiPhen
Description: CRAN Package 'MultiPhen' (A Package to Test for Multi-Trait Association)
 Performs genetic association tests between SNPs (one-at-a-time) and multiple
 phenotypes (separately or in joint model).

Package: r-cran-multipim
Architecture: all
Version: 1.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-penalized, r-cran-polspline, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-multipim_1.4-3-1.ca2004.1_all.deb
Size: 185608
MD5sum: 09d89f1084666229bc1a049483b19f26
SHA1: bb7752c7c0835865032c3cb4e5c6fca57c792a44
SHA256: 8a39abcb9bda5aa47cf325ab4c22f22ee986af40ed6ef3739148773ae8d7beb2
SHA512: 7bded174bb4e68e9652687d0e5a38490416bb2f5c3d8185e31f6e76912858cbcb1ba2cd24e26da0e85eb924b34d566935e18f63cf23e340ca79919d5b0c50734
Homepage: https://cran.r-project.org/package=multiPIM
Description: CRAN Package 'multiPIM' (Variable Importance Analysis with Population Intervention Models)
 Performs variable importance analysis using a causal inference approach.
 This is done by fitting Population Intervention Models. The default is to
 use a Targeted Maximum Likelihood Estimator (TMLE). The other available
 estimators are Inverse Probability of Censoring Weighted (IPCW),
 Double-Robust IPCW (DR-IPCW), and Graphical Computation (G-COMP) estimators.
 Inference can be obtained from the influence curve (plug-in) or by
 bootstrapping.

Package: r-cran-multiplebreakpoints
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-multiplebreakpoints_0.1.0-1.ca2004.1_all.deb
Size: 34320
MD5sum: 5cab8a702e0031d95f0cf9d3ab3aba6f
SHA1: 1cfe6da41b0e0b0cc41f8d097925a8079c98b465
SHA256: 5ff6bd98b5943edc73c06ada6a34e81919d76f62b3df1e55c05ef05ab873a2b2
SHA512: efa0f8ec30fd65e80fe10511e1cf969ae268d34e08b21d9856fd05a22c26a6e02bc5842e752800fff3525fa825c33da8fd4ed1d6121a87d76ad0621d66225322
Homepage: https://cran.r-project.org/package=MultipleBreakpoints
Description: CRAN Package 'MultipleBreakpoints' (Estimating Multiple Breakpoints for a Sequence of Realizationsof Bernoulli Variables)
 The iterative procedure estimates structural changes in the success
 probability of Bernoulli variables. It estimates the number and location of
 the breakpoints as well as the success probability of the different
 sequences between the breakpoints. In addition, it provides a graphical
 illustration of the result.

Package: r-cran-multiplebubbles
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-multiplebubbles_0.2.0-1.ca2004.1_all.deb
Size: 60424
MD5sum: 367d84e73208d9097579caac72575558
SHA1: f8b3538b6f4c284aa0ec62a15c693b257c98f7cb
SHA256: 42607eab4f2e7736b32f9228d16c5ddc333837612a4c426d6ab30b669e769954
SHA512: b27386fd64db961a3d29ae2ce5c35b329ec57b5b6c7af65458746302f3a9e99593a273fc21eda2b5624decf4fc88991008d01c65ef9e33b3868a6ab7b3ca721a
Homepage: https://cran.r-project.org/package=MultipleBubbles
Description: CRAN Package 'MultipleBubbles' (Test and Detection of Explosive Behaviors for Time Series)
 Provides the Augmented Dickey-Fuller test and its variations to check the
 existence of bubbles (explosive behavior) for time series, based on the
 article by Peter C. B. Phillips, Shuping Shi and Jun Yu (2015a)
 <doi:10.1111/iere.12131>. Some functions may take a while depending on the
 size of the data used, or the number of Monte Carlo replications applied.

Package: r-cran-multiplencc
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-multiplencc_1.2-4-1.ca2004.1_all.deb
Size: 157080
MD5sum: 98e02a41138aecd0573d144984705eb3
SHA1: ca6b6ac173c8615adb452820120dcdd7413129fe
SHA256: 9607d6b9886906c1e38340d668255b9f8fa269469bec05e20c22c39c1b1e4f88
SHA512: 9240c8aef04eed2a1f53720467c006c44da3b652200a42967504707e6989d741b41d64a8352f4daf4f39fbe45a34c8efe6395209c936445fe351b032b02c4c20
Homepage: https://cran.r-project.org/package=multipleNCC
Description: CRAN Package 'multipleNCC' (Weighted Cox-Regression for Nested Case-Control Data)
 Fit Cox proportional hazard models with a weighted partial likelihood. It
 handles one or multiple endpoints, additional matching and makes it possible
 to reuse controls for other endpoints Stoer NC and Samuelsen SO (2016)
 <doi:10.32614/rj-2016-030>.

Package: r-cran-multipleoutcomes
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-momentfit, r-cran-numderiv, r-cran-stringr, r-cran-survival
Suggests: r-cran-asaur, r-cran-coin, r-cran-ggplot2, r-cran-ibst, r-cran-invgauss, r-cran-jm, r-cran-joint.cox, r-cran-knitr, r-cran-mvtnorm, r-cran-pec, r-cran-randomforestsrc, r-cran-rmarkdown, r-cran-survminer, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-multipleoutcomes_0.4-1.ca2004.1_all.deb
Size: 68448
MD5sum: 0f7f10a1a1569b464c072cb5aeaf4301
SHA1: 9ec4f273b3adc044c0b4cc962cbe151022166fbb
SHA256: 2ae8885cc682231c64f358184d82ebf8f82eb4b8243fc2f92ae77b69a4de5a73
SHA512: 40dee354cb9bbb11ee5ad29e03d7ee7cad9b06abfe12f2da505f9379ef1a299237b52f80025db60ed4eb8f8607c7077a8f7966f666e2acdaadc36ff5c98d5d7a
Homepage: https://cran.r-project.org/package=multipleOutcomes
Description: CRAN Package 'multipleOutcomes' (Asymptotic Covariance Matrix of Regression Models for MultipleOutcomes)
 Regression models can be fitted for multiple outcomes simultaneously. This
 package computes estimates of parameters across fitted models and returns
 the matrix of asymptotic covariance. Various applications of this package,
 including CUPED (Controlled Experiments Utilizing Pre-Experiment Data),
 multiple comparison adjustment, are illustrated.

Package: r-cran-multipleregression
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-multipleregression_0.1.0-1.ca2004.1_all.deb
Size: 38268
MD5sum: 040f27ab946d0707881990c4fd00b4eb
SHA1: b2107c9d1fcc0dabd84ff61bc7a7af44938ac14a
SHA256: 8d557835757797c1b1371ffae6c2917ae11d878302c63a74c81071f248f351dc
SHA512: 7d547ff488179143891ce65744f32b1285e099c08cf8cac168f6a8dc947c1022ea987237f00002cce603d04f4077d3adf8a4b93290798039b7dbd59ee523ca71
Homepage: https://cran.r-project.org/package=MultipleRegression
Description: CRAN Package 'MultipleRegression' (Multiple Regression Analysis)
 Tools to analysis of experiments having two or more quantitative explanatory
 variables and one quantitative dependent variable. Experiments can be
 without repetitions or with a statistical design (Hair JF, 2016) <ISBN: 13:
 978-0138132637>. Pacote para uma analise de experimentos havendo duas ou
 mais variaveis explicativas quantitativas e uma variavel dependente
 quantitativa. Os experimentos podem ser sem repeticoes ou com delineamento
 estatistico (Hair JF, 2016) <ISBN: 13: 978-0138132637>.

Package: r-cran-multiplestressr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-patchwork, r-cran-viridis
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-multiplestressr_0.1.1-1.ca2004.1_all.deb
Size: 77752
MD5sum: b0447d06b521e51e4874b5820c9bdc34
SHA1: e9b9b5eca6935fcd73fe748e1fb1d6aa7adba100
SHA256: ad8a4784b6ba522489cd5f12dce8bcdd35eb68f837211428b71d3bbf50d26921
SHA512: 993494c54385488438a0f1ff8d4b39e96d8879d79e573be209cbd9bf1773866c6a441bd60c702b3b646ea0eaa735400f74a79ee958fc98c1b9f359ac41abcce9
Homepage: https://cran.r-project.org/package=multiplestressR
Description: CRAN Package 'multiplestressR' (Additive and Multiplicative Null Models for Multiple StressorData)
 An implementation of the additive (Gurevitch et al., 2000
 <doi:10.1086/303337>) and multiplicative (Lajeunesse, 2011
 <doi:10.1890/11-0423.1>) factorial null models for multiple stressor data
 (Burgess et al., 2021 <doi:10.1101/2021.07.21.453207>). Effect sizes are
 able to be calculated for either null model, and subsequently classified
 into one of four different interaction classifications (e.g., antagonistic
 or synergistic interactions).  Analyses can be conducted on data for single
 experiments through to large meta-analytical datasets.  Minimal input (or
 statistical knowledge) is required, with any output easily understood.
 Summary figures are also able to be easily generated.

Package: r-cran-multiplex
Architecture: all
Version: 3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-multigraph, r-bioc-rgraphviz, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-multiplex_3.9-1.ca2004.1_all.deb
Size: 1003856
MD5sum: 0a56e970614d25e2f146532300d0d951
SHA1: ca5a9405c7b9b64cf59168b2cd23e381146084e3
SHA256: 910c20aeab90b32dd4643ab4b1b58a0f92c952bc2b5d6746941f2355daf427ae
SHA512: 5363860c1193732610cd61b0d68bd5956c42e9cb4461ad9bc6f68e91f2b71d2ab7e4862febbcd190b8120aea6e5de2b9d292fb43796882d771ffcd267b455c4c
Homepage: https://cran.r-project.org/package=multiplex
Description: CRAN Package 'multiplex' (Algebraic Tools for the Analysis of Multiple Social Networks)
 Algebraic procedures for analyses of multiple social networks are delivered
 with this package as described in Ostoic (2020) <DOI:10.18637/jss.v092.i11>.
 'multiplex' makes possible, among other things, to create and manipulate
 multiplex, multimode, and multilevel network data with different formats.
 Effective ways are available to treat multiple networks with routines that
 combine algebraic systems like the partially ordered semigroup with
 decomposition procedures or semiring structures with the relational bundles
 occurring in different types of multivariate networks. 'multiplex' provides
 also an algebraic approach for affiliation networks through Galois
 derivations between families of the pairs of subsets in the two domains of
 the network with visualization options.

Package: r-cran-multiplierdea
Architecture: all
Version: 0.1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lpsolveapi, r-cran-dplyr, r-cran-roi, r-cran-roi.plugin.glpk, r-cran-ompr, r-cran-ompr.roi
Filename: pool/dists/focal/main/r-cran-multiplierdea_0.1.19-1.ca2004.1_all.deb
Size: 143804
MD5sum: da3573533f3eadb5a36775b628278611
SHA1: 5b7ba83ce019fbdbafdc4e36a75b5c376cec79eb
SHA256: 402e704bc85fd71634440688985b87e537b9659e89892a1e3a478287511394fc
SHA512: c11b93e0338b36539ddf3ca86d1ad360adf67847e7bc424007777feb36d315c44fda3ef419d03ff4c01eeec7706fff56c867dbb8fc370595d4c12c773a42c26f
Homepage: https://cran.r-project.org/package=MultiplierDEA
Description: CRAN Package 'MultiplierDEA' (Multiplier Data Envelopment Analysis and Cross Efficiency)
 Functions are provided for calculating efficiency using multiplier DEA (Data
 Envelopment Analysis): Measuring the efficiency of decision making units
 (Charnes et al., 1978 <doi:10.1016/0377-2217(78)90138-8>) and cross
 efficiency using single and two-phase approach. In addition, it includes
 some datasets for calculating efficiency and cross efficiency.

Package: r-cran-multipol
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind
Suggests: r-cran-polynom, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multipol_1.0-9-1.ca2004.1_all.deb
Size: 193044
MD5sum: a9d1056fcc295c4000003897c9334abf
SHA1: 090c87cfb60195b7dd226212933d92d53d82b893
SHA256: 4ce0f0359f5e8e55776dfb4cf48c1e3a7269e0c7336ca1273e8b64ded46d5cc9
SHA512: b65283499cae27fb8c29ca4469055b05c0920bf2d99ec36aed28daf26df01eaed7a1e5623e40ddfea4db381d2e56d89a01c3e5b9ef8de0e1e413df1d135b747a
Homepage: https://cran.r-project.org/package=multipol
Description: CRAN Package 'multipol' (Multivariate Polynomials)
 Various utilities to manipulate multivariate polynomials.  The package is
 almost completely superceded by the 'spray' and 'mvp' packages, which are
 much more efficient.

Package: r-cran-multirdpg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multirdpg_1.0.1-1.ca2004.1_all.deb
Size: 44840
MD5sum: a93c93cb9a22db23ed45ec9753f01066
SHA1: 140353c50c6504ba5777829c38c1bc406baf2b32
SHA256: 3f18b775511549c42bd1357e7397a607be4a25b654930783b4f42489690c1419
SHA512: c3c6da9fcf74be09941cc81ab970f3ebdd2f6a6e1b4aec1a32aec9a7967c285fe3cd78a4f6e2374c88869f1b31673a8750a501c626a0c07fb82af99d2b47968a
Homepage: https://cran.r-project.org/package=multiRDPG
Description: CRAN Package 'multiRDPG' (Multiple Random Dot Product Graphs)
 Fits the Multiple Random Dot Product Graph Model and performs a test for
 whether two networks come from the same distribution. Both methods are
 proposed in Nielsen, A.M., Witten, D., (2018) "The Multiple Random Dot
 Product Graph Model", arXiv preprint <arXiv:1811.12172> (Submitted to
 Journal of Computational and Graphical Statistics).

Package: r-cran-multirich
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-multirich_2.1.3-1.ca2004.1_all.deb
Size: 84532
MD5sum: 3d140eb6a0e742774c608ce8539147a7
SHA1: 5db80fee500f8436be9f34d7dc45f78ce6f906b0
SHA256: dc209ce34074a14947104a6fe21fbcf087d9defdc7ef7ac24ea36db51b947408
SHA512: 4056282e37bd635d68f2c8b8a04601ca77c9e21d506630854ef603cdac923e7aca56a393b4d5b29d8da4a841b89810bcc32c6dfc1035b23b728f3be374122110
Homepage: https://cran.r-project.org/package=multirich
Description: CRAN Package 'multirich' (Calculate Multivariate Richness via UTC and sUTC)
 Functions to calculate Unique Trait Combinations (UTC) and scaled Unique
 Trait Combinations (sUTC) as measures of multivariate richness. The package
 can also calculate beta-diversity for trait richness and can partition this
 into nestedness-related and turnover components. The code will also
 calculate several measures of overlap. See Keyel and Wiegand (2016)
 <doi:10.1111/2041-210X.12558> for more details.

Package: r-cran-multiridge
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-proc, r-cran-mgcv, r-cran-snowfall
Filename: pool/dists/focal/main/r-cran-multiridge_1.11-1.ca2004.1_all.deb
Size: 189836
MD5sum: be3e4950456418b77d35463fba2be4db
SHA1: be64f1e1434f10312f39ad0d37fad736e3a0d8b9
SHA256: efa3b33fd246dba719b7109de816417ec7787bde8f7bd623dd44e6651b1a05ac
SHA512: 4d8cd4c91a3a9dfea602b8a2aaa2d843f77d35463f0066f1a8610e00becabffd12fd3f93a6934b15f5cc5a8fd4388aab165b9e1f00b891fd40419e1c245e35f4
Homepage: https://cran.r-project.org/package=multiridge
Description: CRAN Package 'multiridge' (Fast Cross-Validation for Multi-Penalty Ridge Regression)
 Multi-penalty linear, logistic and cox ridge regression, including
 estimation of the penalty parameters by efficient (repeated)
 cross-validation and marginal likelihood maximization. Multiple
 high-dimensional data types that require penalization are allowed, as well
 as unpenalized variables. Paired and preferential data types can be
 specified. See Van de Wiel et al. (2021), <arXiv:2005.09301>.

Package: r-cran-multirng
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multirng_1.2.4-1.ca2004.1_all.deb
Size: 66420
MD5sum: 50358168fd0c6d27acf61af91269a152
SHA1: 7683410c14979c81889afda9a64d0e4cffcf6a74
SHA256: 9c61220f46746d59048c7bce498ca2fda26af16dd502cb96e6dc32361bd40d92
SHA512: 4459b33e929176919304b07ae206cf08a23559230ae5f22677ab9b755481b1d4f91369e0ca94a8efe4d14c7318b536a18a93de7562ccda76e808a3cead5e1403
Homepage: https://cran.r-project.org/package=MultiRNG
Description: CRAN Package 'MultiRNG' (Multivariate Pseudo-Random Number Generation)
 Pseudo-random number generation for 11 multivariate distributions: Normal,
 t, Uniform, Bernoulli, Hypergeometric, Beta (Dirichlet), Multinomial,
 Dirichlet-Multinomial, Laplace, Wishart, and Inverted Wishart. The details
 of the method are explained in Demirtas (2004)
 <DOI:10.22237/jmasm/1099268340>.

Package: r-cran-multirobust
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-suppdists, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-multirobust_1.0.5-1.ca2004.1_all.deb
Size: 84964
MD5sum: e7dd04d9872174f3f89ed872d990c951
SHA1: 323a6794caeaea15054e12e6e5d1693e09ba5ec7
SHA256: 9de6c49f16f4641f9b4be98919154cc02eab999229a1690b2f45bb0c1858901e
SHA512: 25006e99ab1e1376ad1c5290845429a960d12f24c0b183c834b05f5939684999fc4c4ef587821afc8b78f238f749f456b65f3ea18890d701578cb2897ac40cac
Homepage: https://cran.r-project.org/package=MultiRobust
Description: CRAN Package 'MultiRobust' (Multiply Robust Methods for Missing Data Problems)
 Multiply robust estimation for population mean (Han and Wang 2013)
 <doi:10.1093/biomet/ass087>, regression analysis (Han 2014)
 <doi:10.1080/01621459.2014.880058> (Han 2016) <doi:10.1111/sjos.12177> and
 quantile regression (Han et al. 2019) <doi:10.1111/rssb.12309>.

Package: r-cran-multiroc
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-magrittr, r-cran-boot
Suggests: r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-multiroc_1.1.1-1.ca2004.1_all.deb
Size: 56304
MD5sum: 5635c975c7e8eda7e125f4b071b89946
SHA1: 89606d7e34a863463dc9d8889988196e7a2e1a07
SHA256: 9f65d5bbc4db6429d6f8de04a77aad5417d4ff77d7f763779b476d4cb4de9093
SHA512: 1bd53c4f7c661db7cc83237f7ad68756a4a3d6d23a8433ed31a025e4e17301694068237142ff3d4477b5779e90d6674add17d79a40bbd261861aefd0687453f9
Homepage: https://cran.r-project.org/package=multiROC
Description: CRAN Package 'multiROC' (Calculating and Visualizing ROC and PR Curves Across Multi-ClassClassifications)
 Tools to solve real-world problems with multiple classes classifications by
 computing the areas under ROC and PR curve via micro-averaging and
 macro-averaging. The vignettes of this package can be found via
 <https://github.com/WandeRum/multiROC>. The methodology is described in V.
 Van Asch (2013)
 <https://www.clips.uantwerpen.be/~vincent/pdf/microaverage.pdf> and
 Pedregosa et al. (2011)
 <http://scikit-learn.org/stable/auto_examples/model_selection/plot_roc.html>.

Package: r-cran-multirr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-multirr_1.1-1.ca2004.1_all.deb
Size: 76128
MD5sum: 025665880e1fb47b5a4875018fc6fc29
SHA1: 5b7a531f0de483a345c4bed3f52df33062523277
SHA256: 4cb48e2150483e5fa2ac4cd23f16d5044c163727fbd9963e3840e2294721e869
SHA512: e180f141b9fe0f30f462a1bfeb622959509e532b0df66c3aff0c7edb54300783f6283a68de9b8a0d0066f5bc754c8c580df1d359308da908463feddbfdf8a303
Homepage: https://cran.r-project.org/package=MultiRR
Description: CRAN Package 'MultiRR' (Bias, Precision, and Power for Multi-Level Random Regressions)
 Calculates bias, precision, and power for multi-level random regressions.
 Random regressions are types of hierarchical models in which data are
 structured in groups and (regression) coefficients can vary by groups. Tools
 to estimate model performance are designed mostly for scenarios where
 (regression) coefficients vary at just one level. 'MultiRR' provides
 simulation and analytical tools (based on 'lme4') to study model performance
 for random regressions that vary at more than one level (multi-level random
 regressions), allowing researchers to determine optimal sampling designs.

Package: r-cran-multis
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clvalid, r-cran-cluster, r-cran-clv, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-igraph, r-cran-ltm, r-cran-plyr, r-cran-powerlaw, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-rlang, r-cran-rmutil
Suggests: r-cran-knitr, r-cran-markdown, r-cran-mclust, r-cran-testthat, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-multis_0.6.2-1.ca2004.1_all.deb
Size: 1149612
MD5sum: ff037374c0d2f1e1533fc35d9f89b65b
SHA1: 1305f300ceedeb44b075e6188527c8ff33dc08ee
SHA256: e4becb0c668d6dbbe709693a60af237a0d34889bf5aa9fac2d1e61e8c3eb3427
SHA512: 9dda53ecd0066d3a4ae122918dc3edc58c9d15ac93c74c8e90c88df7e94d57a649b21f830f2309461009381fec34e3b39650d0bf985160e112700a33f8ff5ae9
Homepage: https://cran.r-project.org/package=MultIS
Description: CRAN Package 'MultIS' (Reconstruction of Clones from Integration Site Readouts andVisualization)
 Tools necessary to reconstruct clonal affiliations from temporally and/or
 spatially separated measurements of viral integration sites. For this means
 it utilizes correlations present in the relative readouts of the integration
 sites. Furthermore, facilities for filtering of the data and visualization
 of different steps in the pipeline are provided with the package.

Package: r-cran-multiselect
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-multiselect_0.1.0-1.ca2004.1_all.deb
Size: 25072
MD5sum: 3f0aca493f3a9384bdd4f8de872a4380
SHA1: 6ff325b29b0cb813887a71b9988bd467700d02f2
SHA256: b39b9490c9ee4e4ac3cdd667fa78455591f288ce76dea430c30599a57d678bad
SHA512: 1bdba542320bdc38868e2140c1865038dcbbcd2b5fd1e23d21dbfcf81c20e8b8cc79530d47d7b8c0acbb8b4de5efdbc51f6f0918a7af14f267699f3dee88b734
Homepage: https://cran.r-project.org/package=multiselect
Description: CRAN Package 'multiselect' (Selecting Combinations of Predictors by Leveraging Multiple AUCsfor an Ordered Multilevel Outcome)
 Uses multiple AUCs to select a combination of predictors when the outcome
 has multiple (ordered) levels and the focus is discriminating one particular
 level from the others. This method is most naturally applied to settings
 where the outcome has three levels. (Meisner, A, Parikh, CR, and Kerr, KF
 (2017) <http://biostats.bepress.com/uwbiostat/paper423/>.)

Package: r-cran-multisensi
Architecture: all
Version: 2.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sensitivity, r-cran-knitr
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-multisensi_2.1-1-1.ca2004.1_all.deb
Size: 1040968
MD5sum: 4cdbacf1be852a832d3f06b25a05324c
SHA1: 7b4f1be818b58ceb4eef83ebc047d21ed8e156a5
SHA256: 3b949df7ac80868644cbf070818c1b71b6070ec81f14a9205cfd0c7fc6c1b8db
SHA512: 820413c85cbdaeca7bc21d3a7a8223e657c27c40e8b7bb4158b48b64524307dbabe04447e56bb51a320b843dd0e2b552885d73abe0b24e1fb133342b81528ea3
Homepage: https://cran.r-project.org/package=multisensi
Description: CRAN Package 'multisensi' (Multivariate Sensitivity Analysis)
 Functions to perform sensitivity analysis on a model with multivariate
 output.

Package: r-cran-multisite.accuracy
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coxme, r-cran-lme4, r-cran-lmertest, r-cran-logistf, r-cran-metafor, r-cran-proc, r-cran-survival
Filename: pool/dists/focal/main/r-cran-multisite.accuracy_1.3-1.ca2004.1_all.deb
Size: 38204
MD5sum: dc284ee808140dc94452f7b445c81743
SHA1: 96d44ff9f96dbb94e082d7b1997fab87ffdd6176
SHA256: 1764ee0ddcd6dc3e35084a87742b9ce2f5439ab24aafe5cdd7ef23c0b4c97506
SHA512: 4c91418573e784c78ac3aa703d3fe7e559a712052fec88795373f0a44f53042365398ec844d19550d3f1df4170d6c534cda905077c1f17e6b3e95c84eece7862
Homepage: https://cran.r-project.org/package=multisite.accuracy
Description: CRAN Package 'multisite.accuracy' (Estimation of Accuracy in Multisite Machine-Learning Models)
 The effects of the site may severely bias the accuracy of a multisite
 machine-learning model, even if the analysts removed them when fitting the
 model in the 'training set' and applying the model in the 'test set'
 (Solanes et al., Neuroimage 2023, 265:119800). This simple R package
 estimates the accuracy of a multisite machine-learning model unbiasedly, as
 described in (Solanes et al., Psychiatry Research: Neuroimaging 2021,
 314:111313). It currently supports the estimation of sensitivity,
 specificity, balanced accuracy (for binary or multinomial variables), the
 area under the curve, correlation, mean squarer error, and hazard ratio for
 binomial, multinomial, gaussian, and survival (time-to-event) outcomes.

Package: r-cran-multisitemediation
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-statmod, r-cran-psych, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-multisitemediation_0.0.4-1.ca2004.1_all.deb
Size: 257480
MD5sum: 9cd9a6356863db3415dc569e62c0471b
SHA1: f63e1bb839a35a5621ff5d7ab5eeb09890837804
SHA256: d2175085a24015ae9b1637a56b8924d06c8daa8932b2962a453e4b25a06a03e1
SHA512: 90760f24b465ea2d6067e762268587dd524e8abee73b377fb18d26a17d28432458e1e8ed21399b48f982a292b26f0cccb49c0394f7852acc32a02c08687e0fc8
Homepage: https://cran.r-project.org/package=MultisiteMediation
Description: CRAN Package 'MultisiteMediation' (Causal Mediation Analysis in Multisite Trials)
 Multisite causal mediation analysis using the methods proposed by Qin and
 Hong (2017) <doi:10.3102/1076998617694879>, Qin, Hong, Deutsch, and Bein
 (2019) <doi:10.1111/rssa.12446>, and Qin, Deutsch, and Hong (2021)
 <doi:10.1002/pam.22268>. It enables causal mediation analysis in multisite
 trials, in which individuals are assigned to a treatment or a control group
 at each site. It allows for estimation and hypothesis testing for not only
 the population average but also the between-site variance of direct and
 indirect effects transmitted through one single mediator or two concurrent
 (conditionally independent) mediators. This strategy conveniently relaxes
 the assumption of no treatment-by-mediator interaction while greatly
 simplifying the outcome model specification without invoking strong
 distributional assumptions. This package also provides a function that can
 further incorporate a sample weight and a nonresponse weight for multisite
 causal mediation analysis in the presence of complex sample and survey
 designs and non-random nonresponse, to enhance both the internal validity
 and external validity. The package also provides a weighting-based balance
 checking function for assessing the remaining overt bias.

Package: r-cran-multiskew
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxskew
Filename: pool/dists/focal/main/r-cran-multiskew_1.1.1-1.ca2004.1_all.deb
Size: 43688
MD5sum: c9ef463fa673505b3477314c2717503a
SHA1: aae2a65c10966b00c1e1f548029559b884a0e88d
SHA256: acaff1a2149e1eff13d1160b1db7316e1789f27842d736d3647f0bc5199b8d48
SHA512: 61ad70eaca8bf236071f5d6058a329424a0c9fda94b31b32d6555061c1ccca3a03baf1003a7f08a939ae04e64e5127c0d12edf38016c4a5116401d3580a12db6
Homepage: https://cran.r-project.org/package=MultiSkew
Description: CRAN Package 'MultiSkew' (Measures, Tests and Removes Multivariate Skewness)
 Computes the third multivariate cumulant of either the raw, centered or
 standardized data. Computes the main measures of multivariate skewness,
 together with their bootstrap distributions. Finally, computes the least
 skewed linear projections of the data.

Package: r-cran-multisom
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-class, r-cran-kohonen
Filename: pool/dists/focal/main/r-cran-multisom_1.3-1.ca2004.1_all.deb
Size: 205736
MD5sum: 953e48ebc552bcc912afd2476221940f
SHA1: 6b48dab831760f430e7746c6187d8880cf97cec8
SHA256: fe7bba26fd42b1ee72e96501ae793a4d823ab2a6e657efffb27385852c269d2f
SHA512: 93906a82406c6feb106f81da000435d35f983a6d76fac5302bcfef72664030fd9fd92c9536855c67114acd9fc1c95d2d65afeb48e13b4b41292614262918014d
Homepage: https://cran.r-project.org/package=multisom
Description: CRAN Package 'multisom' (Clustering a Data Set using Multi-SOM Algorithm)
 Implements two versions of the algorithm namely: stochastic and batch. The
 package determines also the best number of clusters and offers to the user
 the best clustering scheme from different results.

Package: r-cran-multistatm
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrangements, r-cran-matrix, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-multistatm_2.0.0-1.ca2004.1_all.deb
Size: 261972
MD5sum: 721992a53213baca2c227f5349be6fda
SHA1: c154a9b5164f2a3dbcad1cf8bce2da8dfc503614
SHA256: a87d59e1cde1fecc0b4581e4f038abe5365fc886870103a1a14ca94f27f7683d
SHA512: 0796b88a081621ba25c3443d4c70c4ecb7e5c640dfef93e0ef82d03b5806af0121c5926066eacd2a0832d0d7d6cdfaf49f91101fee04f794455917cb6aefeb22
Homepage: https://cran.r-project.org/package=MultiStatM
Description: CRAN Package 'MultiStatM' (Multivariate Statistical Methods)
 Algorithms to build set partitions and commutator matrices and their use in
 the construction of multivariate d-Hermite polynomials; estimation and
 derivation of theoretical vector moments and vector cumulants of
 multivariate distributions; conversion formulae for multivariate moments and
 cumulants. Applications to estimation and derivation of multivariate
 measures of skewness and kurtosis; estimation and derivation of asymptotic
 covariances for d-variate Hermite polynomials, multivariate moments and
 cumulants and measures of skewness and kurtosis.  The formulae implemented
 are discussed in Terdik (2021, ISBN:9783030813925), "Multivariate
 Statistical Methods".

Package: r-cran-multisv
Architecture: all
Version: 0.0-67-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-multisv_0.0-67-1.ca2004.1_all.deb
Size: 4288856
MD5sum: f860d716e50adb16a1678f7894132550
SHA1: 57f22e4fecdc218c057194f0d0e25cf38dd937f8
SHA256: 08d606407dc5a877ca1ff47681c054b65030802f28daaa78b619b75b0a063e62
SHA512: c4b55d3cedcf9c087b713d15f0191cf42e0bef59c897f1d2e8d5cbe298ad8832ab8a07764f41cfc51dd5f397eaa4cf4250b383c3af16684352ffdf62f275d97e
Homepage: https://cran.r-project.org/package=MultiSV
Description: CRAN Package 'MultiSV' (MultiSV: an R package for identification of structuralvariations in multiple populations based on whole genomeresequencing)
 MultiSV is an R package for identification of structural variations in
 multiple populations based on whole genome resequencing. It fits linear
 mixed model and identifies structural variations in multiple populations
 using whole genome sequencing data. It could also be manipulated to use on
 RNA-seq data for differential gene expression (implementation in future
 releases). Main steps for analysis include generating read depth in bins
 using ComputeBinCounts. conversion of bins to MultiSV format using
 Bin2MultiSV. Finally, identification of structural variations using
 CallMultiSV.

Package: r-cran-multitool
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clipr, r-cran-correlation, r-cran-diagrammer, r-cran-dplyr, r-cran-flextable, r-cran-furrr, r-cran-future, r-cran-ggdist, r-cran-glue, r-cran-ggplot2, r-cran-moments, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-lme4, r-cran-parameters, r-cran-performance
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-multitool_0.1.4-1.ca2004.1_all.deb
Size: 979804
MD5sum: 7686a5ea6412ce9843249d3f5925ca6a
SHA1: 45b0468cf36675b9639444b96a1c8fc73b300786
SHA256: a2626418ea6c94d6163f2a79b46a5c4e1183729b4d8f4785dffbaf064ad54cf8
SHA512: 316f0db4d191aaf8c3819c07b5dd58843adef9fde204d0afd3c7eed65674fae6696e165c78346913f72b7a2281a1a72a3f86e9eb5d3978cdda2127edcaa4b6e1
Homepage: https://cran.r-project.org/package=multitool
Description: CRAN Package 'multitool' (Run Multiverse Style Analyses)
 Run the same analysis over a range of arbitrary data processing decisions.
 'multitool' provides an interface for creating alternative analysis
 pipelines and turning them into a grid of all possible pipelines.  Using
 this grid as a blueprint, you can model your data across all possible
 pipelines and summarize the results.

Package: r-cran-multitraits
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1359
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggtern, r-cran-igraph, r-cran-hmisc, r-cran-corrplot, r-cran-scatterplot3d, r-cran-vegan, r-cran-ggrepel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-multitraits_0.5.0-1.ca2004.1_all.deb
Size: 1057768
MD5sum: 849ef6cd8e2416c654c259c190c75786
SHA1: f39bca519cfdceb98f3d2f40b5376e931db6f51c
SHA256: 7f86b9d6d348b62930f7427fba2d9ffc80a4912ce603cf28f03b22206798df90
SHA512: e1551fc2de9b5918b93a45090b9920504ff2753df775dcedd21477a201d834dc38148d8f79e7c4f7f2d2e6c0c7340fd7577696b8ad9989e5882146c20c0ac9ca
Homepage: https://cran.r-project.org/package=MultiTraits
Description: CRAN Package 'MultiTraits' (Analyzing and Visualizing Multidimensional Plant Traits)
 Implements analytical methods for multidimensional plant traits, including
 Competitors-Stress tolerators-Ruderals strategy analysis using leaf traits,
 Leaf-Height-Seed strategy analysis, Niche Periodicity Table analysis, and
 Trait Network analysis. Provides functions for data analysis, visualization,
 and network metrics calculation. Methods are based on Grime (1974)
 <doi:10.1038/250026a0>, Pierce et al. (2017) <doi:10.1111/1365-2435.12882>,
 Westoby (1998) <doi:10.1023/A:1004327224729>, Yang et al. (2022)
 <doi:10.1016/j.foreco.2022.120540>, Winemiller et al. (2015)
 <doi:10.1111/ele.12462>, He et al. (2020) <doi:10.1016/j.tree.2020.06.003>.

Package: r-cran-multius
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gplots, r-cran-mass
Suggests: r-cran-cca, r-cran-psych
Filename: pool/dists/focal/main/r-cran-multius_1.2.3-1.ca2004.1_all.deb
Size: 138600
MD5sum: 6210671add4dcc0e38787cc199fc6409
SHA1: 2e355a64ec00e5e25760618ab67914990aa6999d
SHA256: cb79bcfc4a7f3c0e0692a8d006d1308ea496f4f32e30458b146a3d568e63f6b1
SHA512: 04c0f23affa7d627a9b1c9ab3daddbecdfea36bf10ca9f35f73570adc84abd92782ffa4c94dfb1e4a49bf3f8ab9aeaeea615d4e2ea21f6b90dbbb3fd5cf136f5
Homepage: https://cran.r-project.org/package=multiUS
Description: CRAN Package 'multiUS' (Functions for the Courses Multivariate Analysis and ComputerIntensive Methods)
 Provides utility functions for multivariate analysis (factor analysis,
 discriminant analysis, and others). The package is primary written for the
 course Multivariate analysis and for the course Computer intensive methods
 at the masters program of Applied Statistics at University of Ljubljana.

Package: r-cran-multivariateanalysis
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pcamixdata, r-cran-magrittr, r-cran-nbclust, r-cran-factoextra, r-cran-gridextra, r-cran-rstudioapi, r-cran-candisc, r-cran-biotools, r-cran-corrplot, r-cran-ggdendro, r-cran-plotly, r-cran-crayon, r-cran-ecodist, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-multivariateanalysis_0.5.0-1.ca2004.1_all.deb
Size: 564396
MD5sum: 68e0ea00a766b5216c031975a3d71f34
SHA1: 11fef85a4e5e6d8c2cdaacb1d86ecb4c2f85cf59
SHA256: 0e44941def1793934a7ee56f955f007112c951a2a680cda5201e95453b684e64
SHA512: a974d89dc153b1d47cba823f31adb8111c45f655268600a1b448b5882e004f8d93141d666875185cabc26358930bd5cd1d4119614047e328e4f92ca7b25da26b
Homepage: https://cran.r-project.org/package=MultivariateAnalysis
Description: CRAN Package 'MultivariateAnalysis' (Pacote Para Analise Multivariada)
 Package with multivariate analysis methodologies for experiment evaluation.
 The package estimates dissimilarity measures, builds dendrograms, obtains
 MANOVA, principal components, canonical variables, etc. (Pacote com
 metodologias de analise multivariada para avaliação de experimentos. O
 pacote estima medidas de dissimilaridade, construi de dendogramas, obtem a
 MANOVA, componentes principais, variaveis canonicas, etc.)

Package: r-cran-multivarious
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-chk, r-cran-glmnet, r-cran-corpcor, r-cran-matrix, r-cran-purrr, r-cran-rsvd, r-cran-svd, r-cran-pls, r-cran-irlba, r-cran-rspectra, r-cran-proxy, r-cran-matrixstats, r-cran-fitdistrplus
Suggests: r-cran-covr, r-cran-randomforest, r-cran-testthat, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-multivarious_0.2.0-1.ca2004.1_all.deb
Size: 228712
MD5sum: 1ac37e46025e859ecee243a42d468830
SHA1: 1b749d70d5ec087e41c71a83d34b5ea5e94e5b9b
SHA256: c0792646e700ffd83974b244b9880a82ba5cfb5b04d690d93f19489e51b15fbd
SHA512: a7d6ee7b20c64cad5f540da5e6c29c5bf74d8728a96c4530f0fdabf592129ceddb8f46506759c585a14e2f36bf900f2b4fd28fe92849b5b95186c4080d99e5c6
Homepage: https://cran.r-project.org/package=multivarious
Description: CRAN Package 'multivarious' (Extensible Data Structures for Multivariate Analysis)
 Provides a set of basic and extensible data structures and functions for
 multivariate analysis, including dimensionality reduction techniques,
 projection methods, and preprocessing functions. The aim of this package is
 to offer a flexible and user-friendly framework for multivariate analysis
 that can be easily extended for custom requirements and specific data
 analysis tasks.

Package: r-cran-multivarmi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-binordnonnor, r-cran-corrtoolbox, r-cran-corpcor, r-cran-matrix, r-cran-moments, r-cran-norm, r-cran-poisnonnor
Suggests: r-cran-poisbinordnonnor
Filename: pool/dists/focal/main/r-cran-multivarmi_1.0-1.ca2004.1_all.deb
Size: 59672
MD5sum: 37137275dfb87d0e738924d08e6d7de7
SHA1: 98c8eb0102f087bf4b9c395e1f28b2a1b829025c
SHA256: f016a1e86665133b40aa2071144bc3c5c25d6e247d7dd7825ad9b38778be5c37
SHA512: 61f068162cd810d8da55b8b2d0ba31317c2bf4420cc93938ba1b99c1371807ef14d7e9ccb7a897c5048eb4a8eaf05bd2c8acad05bd7fe122451306fd09b3fac2
Homepage: https://cran.r-project.org/package=MultiVarMI
Description: CRAN Package 'MultiVarMI' (Multiple Imputation for Multivariate Data)
 Fully parametric Bayesian multiple imputation framework for massive
 multivariate data of different variable types as seen in Demirtas, H. (2017)
 <doi:10.1007/978-981-10-3307-0_8>.

Package: r-cran-multivarsel
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-matrix
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-multivarsel_1.1.3-1.ca2004.1_all.deb
Size: 471132
MD5sum: ce7f1ab74223e08e7ffe54bce3bd309d
SHA1: b9ff875a9a32ba0e1fb84ddc4ae8bad72cec7abb
SHA256: 13693177a304afa8c8c5ace89e708a0f0dde9735c56c88a892177622399a2ea1
SHA512: 5746786f9b5f84519a18fd3cacb9500c92f019fd0d7cbde5f0f142ee3ec3cc0c3e5fb92814abe076aadf1c672ac49e3b59623808815e4255550785e70b821ebf
Homepage: https://cran.r-project.org/package=MultiVarSel
Description: CRAN Package 'MultiVarSel' (Variable Selection in a Multivariate Linear Model)
 It performs variable selection in a multivariate linear model by estimating
 the covariance matrix of the residuals then use it to remove the dependence
 that may exist among the responses and eventually performs variable
 selection by using the Lasso criterion.  The method is described in the
 paper Perrot-Dockès et al. (2017) <arXiv:1704.00076>.

Package: r-cran-multivator
Architecture: all
Version: 1.1-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3661
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-emulator, r-cran-mvtnorm, r-cran-mathjaxr
Suggests: r-cran-abind
Filename: pool/dists/focal/main/r-cran-multivator_1.1-11-1.ca2004.1_all.deb
Size: 3523996
MD5sum: 6bf4708dc9fb6372bee896400de5c8fb
SHA1: d64fa1d82adaa3bd3f6ba7896ab0e69651d665de
SHA256: a30a4e6ab1602ffdfd583ed0189d086c910edc8ba8f9262f3ccc897d3e8e05aa
SHA512: f1d0da5b62fe5583b093574da44647255996ee5f34e12b9322a774b641f0e4610597b01020ecd3cd9c3ace02c31885729e89f5225403e21605c68236fa79433d
Homepage: https://cran.r-project.org/package=multivator
Description: CRAN Package 'multivator' (A Multivariate Emulator)
 A multivariate generalization of the emulator package.

Package: r-cran-multiverse
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-r6, r-cran-tidyr, r-cran-tibble, r-cran-magrittr, r-cran-tidyselect, r-cran-formatr, r-cran-collections, r-cran-evaluate, r-cran-rstudioapi, r-cran-berryfunctions, r-cran-furrr, r-cran-styler, r-cran-distributional, r-cran-jsonlite, r-cran-readr
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-highr, r-cran-rmarkdown, r-cran-covr, r-cran-broom, r-cran-boot, r-cran-gganimate, r-cran-gifski, r-cran-forcats, r-cran-stringr, r-cran-cowplot, r-cran-tidybayes, r-cran-png, r-cran-stringi, r-cran-modelr, r-cran-future
Filename: pool/dists/focal/main/r-cran-multiverse_0.6.2-1.ca2004.1_all.deb
Size: 2605880
MD5sum: 970097d475ec4f601168e4b3ffd37ba1
SHA1: a9531411e2a4187ed4c417437d19b7e3a0a165c5
SHA256: ac66e1790472de759208803b5f62dbcaefdae8505be5677860302ef88c6eea3f
SHA512: 9abdfece78edaa7799475cbb0aaee370e17c88ac616fa681b04ad548229848b0d277300e079c617aff86292946da867267c12a74e7d40edb23b13c8f6f9a1e8d
Homepage: https://cran.r-project.org/package=multiverse
Description: CRAN Package 'multiverse' (Create 'multiverse analysis' in R)
 Implement 'multiverse' style analyses (Steegen S., Tuerlinckx F, Gelman A.,
 Vanpaemal, W., 2016) <doi:10.1177/1745691616658637> to show the robustness
 of statistical inference.  'Multiverse analysis' is a philosophy of
 statistical reporting where paper authors report the outcomes of many
 different statistical analyses in order to show how fragile or robust their
 findings are. The 'multiverse' package (Sarma A., Kale A., Moon M., Taback
 N., Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm>
 allows users to concisely and flexibly implement 'multiverse-style'
 analysis, which involve declaring alternate ways of performing an analysis
 step, in R and R Notebooks.

Package: r-cran-multiversion
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-waldo, r-cran-devtools, r-cran-withr, r-cran-callr
Filename: pool/dists/focal/main/r-cran-multiversion_0.3.6-1.ca2004.1_all.deb
Size: 160144
MD5sum: 5c1df90a634498a1ccfd0e1ae12ca76e
SHA1: bc9d397ae09daeb6aa0aab7715021d760bd408f1
SHA256: 092cfd3b1e09f5aa78277582be0eed886e9e0f4d6f31efa86ca87bcb9d2dd247
SHA512: 904b1b3058d0a6b300b0536fc87b2e03e01caf10fd4dc833f09afa9f5469a32772f338ea4ee774b25cc7c7601e3fcfe6528cced0e55d83a42df1a27f61760fc4
Homepage: https://cran.r-project.org/package=multiversion
Description: CRAN Package 'multiversion' (Version Controlled Package Manager)
 Supports installing of multiple versions of a package and loading of
 specific versions and their dependencies. The only package that you need to
 install is this package providing the support for the complete library
 management. Migrate your ordinary library today!!

Package: r-cran-multiwave
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-multiwave_1.4-1.ca2004.1_all.deb
Size: 933424
MD5sum: b52c4ceef54969550a3d4e4e5aad420d
SHA1: 534af51fa3adbc9867ec2c6170753b76d9536dd1
SHA256: 604ebe729a294657fc063e70a858b5148489dbc9d7210e8d08ddb26b08e9aba9
SHA512: e8e803da257ec3ccd95120fa5c82ebc3221e21d68ad5930ab0fde07580c4b6a7c0ed769c1ae6803d8f1a97f70694e3aa9b984d80a07ec97cdd6acf6ba0c1bcaa
Homepage: https://cran.r-project.org/package=multiwave
Description: CRAN Package 'multiwave' (Estimation of Multivariate Long-Memory Models Parameters)
 Computation of an estimation of the long-memory parameters and the long-run
 covariance matrix using a multivariate model (Lobato (1999)
 <doi:10.1016/S0304-4076(98)00038-4>; Shimotsu (2007)
 <doi:10.1016/j.jeconom.2006.01.003>). Two semi-parametric methods are
 implemented: a Fourier based approach (Shimotsu (2007)
 <doi:10.1016/j.jeconom.2006.01.003>) and a wavelet based approach (Achard
 and Gannaz (2016) <doi:10.1111/jtsa.12170>).

Package: r-cran-multiway
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cmls
Filename: pool/dists/focal/main/r-cran-multiway_1.0-7-1.ca2004.1_all.deb
Size: 650864
MD5sum: 25a9917697df8b032a13d166066d82ac
SHA1: c33255e65f0834f67f76295bfd1cd1c8acf1d841
SHA256: 6600d04404a50730078a37a1b7e78158e68fb55ee37423e98ac4b83806d872a2
SHA512: c978b47974a13301f3c3df5dc808b52040d3af1dcd68d9ce513bdd2da4a64e84d2fd97c56a5ef2ea7398850e2fda40c39be5df19407eaff3d38f12eff3394cab
Homepage: https://cran.r-project.org/package=multiway
Description: CRAN Package 'multiway' (Component Models for Multi-Way Data)
 Fits multi-way component models via alternating least squares algorithms
 with optional constraints. Fit models include N-way Canonical Polyadic
 Decomposition, Individual Differences Scaling, Multiway Covariates
 Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component
 Analysis, and Tucker Factor Analysis.

Package: r-cran-multiwayregression
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-multiwayregression_1.2-1.ca2004.1_all.deb
Size: 312452
MD5sum: 53b7198b91475853dc1e5284f600368e
SHA1: ba0d175027f6aca390181c6cc44867b84dd6e0c3
SHA256: a48bdb970781d93d7b8dbeefe44064ada62162e3579ed1f396d7e0191d44a097
SHA512: 7e6ce87bca150471c2d59850384c6dc2d6d7bd240e0e9fd59874b54d08f2f2dc6a6be80542d7f8dfa8d564e429b6a97a13642c646c3c8c5ec838f04069c4a456
Homepage: https://cran.r-project.org/package=MultiwayRegression
Description: CRAN Package 'MultiwayRegression' (Perform Tensor-on-Tensor Regression)
 Functions to predict one multi-way array (i.e., a tensor) from another
 multi-way array, using a low-rank CANDECOMP/PARAFAC (CP) factorization and a
 ridge (L_2) penalty [Lock, EF (2018) <doi:10.1080/10618600.2017.1401544>].
 Also includes functions to sample from the Bayesian posterior of a
 tensor-on-tensor model.

Package: r-cran-multiwayvcov
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-boot
Suggests: r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-multiwayvcov_1.2.3-1.ca2004.1_all.deb
Size: 120172
MD5sum: df59d87e900d9f9f4ce9bb225676a6b4
SHA1: e6bd1b870efbe91b8c9159190798c8b1ccc14cbf
SHA256: 9a707db09d15ae9b3931921691766fa752353cfe9cc930a8a9420a0129cc1bf1
SHA512: 5fdb7df9e6749055325c426cf2e4b0b31db5b9abcbdae88d08d4ca841633ece2f01bac35fe476db9a4ab927b4684dc6a06a2c442c1ebf5aaea4494002daeda09
Homepage: https://cran.r-project.org/package=multiwayvcov
Description: CRAN Package 'multiwayvcov' (Multi-Way Standard Error Clustering)
 Exports two functions implementing multi-way clustering using the method
 suggested by Cameron, Gelbach, & Miller (2011) and cluster (or block)
 bootstrapping for estimating variance-covariance matrices. Normal one and
 two-way clustering matches the results of other common statistical packages.
 Missing values are handled transparently and rudimentary parallelization
 support is provided.

Package: r-cran-multpois
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-dfidx, r-cran-dplyr, r-cran-lme4, r-cran-plyr
Suggests: r-cran-emmeans, r-cran-knitr, r-cran-lmertest, r-cran-nnet, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multpois_0.3.3-1.ca2004.1_all.deb
Size: 121036
MD5sum: c63e41de98a4e751ffe2fed558c8f995
SHA1: a775494aab70d89155d3b4902179a7a31672c8ad
SHA256: c0b67d3ed37979f0a28bf261a3ce90ec5b7681d27d10324e1b7910c1aaffa013
SHA512: 313079dc229b15b2dc3b9dafefe45a30a14a794cdb55bd966d80c4a4b26ab0ad810aae3e3740282a03a972bc38ef3f8f6b7e86f4c1863edd262cae4133dbce8c
Homepage: https://cran.r-project.org/package=multpois
Description: CRAN Package 'multpois' (Analyze Nominal Response Data with the Multinomial-Poisson Trick)
 Dichotomous responses having two categories can be analyzed with
 stats::glm() or lme4::glmer() using the family=binomial option.
 Unfortunately, polytomous responses with three or more unordered categories
 cannot be analyzed similarly because there is no analogous
 family=multinomial option. For between-subjects data, nnet::multinom() can
 address this need, but it cannot handle random factors and therefore cannot
 handle repeated measures. To address this gap, we transform nominal response
 data into counts for each categorical alternative. These counts are then
 analyzed using (mixed) Poisson regression as per Baker (1994)
 <doi:10.2307/2348134>. Omnibus analyses of variance can be run along with
 post hoc pairwise comparisons. For users wishing to analyze nominal
 responses from surveys or experiments, the functions in this package
 essentially act as though stats::glm() or lme4::glmer() provide a
 family=multinomial option.

Package: r-cran-multregcmp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-mvnfast, r-cran-progress, r-cran-bayesplot, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-multregcmp_0.1.0-1.ca2004.1_all.deb
Size: 116868
MD5sum: 86c7c3967ece88ca902086b8d28f1a26
SHA1: 6b20eb194ca5f03cf77bd1509780fcc51e9e4e69
SHA256: 970b09122edebaffc7d69eaebde71f41c2a922b6fb70d0c904c14269c9b54043
SHA512: c12e3674af33a6d57f4b1d2db60215114f00ab081419bb00126f910af780871c4cf09f9827c4ed9c33e6394ed104c1a77eeb077c436bf53547611ad85bbfcb6c
Homepage: https://cran.r-project.org/package=MultRegCMP
Description: CRAN Package 'MultRegCMP' (Bayesian Multivariate Conway-Maxwell-Poisson Regression Modelfor Correlated Count Data)
 Fits a Bayesian Regression Model for multivariate count data. This model
 assumes that the data is distributed according to the Conway-Maxwell-Poisson
 distribution, and for each response variable it is associate different
 covariates. This model allows to account for correlations between the counts
 by using latent effects based on the Chib and Winkelmann (2001)
 <http://www.jstor.org/stable/1392277> proposal.

Package: r-cran-multvardiv
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rgl, r-cran-mass, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-multvardiv_1.0.11-1.ca2004.1_all.deb
Size: 149268
MD5sum: 4dd63c9b1ebc9df82fa25c6ee22887a6
SHA1: 7734fd7beb8dc23d9450319bd043a71ff53cd479
SHA256: 4ea89f131d3f7261b18ded1472a03efe05cfecb1804530b3fd8bd54a86a80bb8
SHA512: b0531ed6749d9707bf97e27b74a93d8c17b20989a4811b9a82e6b83b1274543392eade1de0146b7437d80831964626ed384d8a3397e6c2779226b365cbc19e99
Homepage: https://cran.r-project.org/package=multvardiv
Description: CRAN Package 'multvardiv' (Multivariate Probability Distributions, Statistical Divergence)
 Multivariate generalized Gaussian distribution, Multivariate Cauchy
 distribution, Multivariate t distribution.  Distance between two
 distributions (see N. Bouhlel and A. Dziri (2019):
 <doi:10.1109/LSP.2019.2915000>, N. Bouhlel and D. Rousseau (2022):
 <doi:10.3390/e24060838>, N. Bouhlel and D. Rousseau (2023):
 <doi:10.1109/LSP.2023.3324594>).  Manipulation of these multivariate
 probability distributions.

Package: r-cran-multxpert
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-multxpert_0.1.1-1.ca2004.1_all.deb
Size: 81268
MD5sum: b9afa34490d731db34cec9256bbb9874
SHA1: b3c6b10a049fca9a35e759f6135d1c56d97e1b60
SHA256: 2294332ff3b4cf823bbf580db600694f81ceb116f691d8278eaf915882080ffd
SHA512: 31ace74bae8b0ebc2b64d100abea81469578cbfc0e7ad754078d6334521ef439a48b0198b8e2a2a2180b57716015d8fa2fc7639e1fcaca3419971fc228ed95bb
Homepage: https://cran.r-project.org/package=multxpert
Description: CRAN Package 'multxpert' (Common Multiple Testing Procedures and Gatekeeping Procedures)
 Implementation of commonly used p-value-based and parametric multiple
 testing procedures (computation of adjusted p-values and simultaneous
 confidence intervals) and parallel gatekeeping procedures based on the
 methodology presented in the book "Multiple Testing Problems in
 Pharmaceutical Statistics" (edited by Alex Dmitrienko, Ajit C. Tamhane and
 Frank Bretz) published by Chapman and Hall/CRC Press 2009.

Package: r-cran-mulvariaterandomforestvarimp
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multivariaterandomforest, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mulvariaterandomforestvarimp_0.0.2-1.ca2004.1_all.deb
Size: 30660
MD5sum: 53f124e7bbbe558ffee658466da6943e
SHA1: cbd611f38a0e29b8b530b35f31523a0baf52f25f
SHA256: c4155bcf23f1d9d3952ca9721adf715e16f58b6824c8b36b584206f04d8a18cd
SHA512: 3cb88f49852a7a3616c5fa057033ae7cf0e98846e364734fd74dbeb64300f487d369735c8110714c7c5b88e71dcbb1bb1f370c8ca65f87b4e91424e512a47589
Homepage: https://cran.r-project.org/package=MulvariateRandomForestVarImp
Description: CRAN Package 'MulvariateRandomForestVarImp' (Variable Importance Measures for Multivariate Random Forests)
 Calculates two sets of post-hoc variable importance measures for
 multivariate random forests. The first set of variable importance measures
 are given by the sum of mean split improvements for splits defined by
 feature j measured on user-defined examples (i.e., training or testing
 samples). The second set of importance measures are calculated on a
 per-outcome variable basis as the sum of mean absolute difference of node
 values for each split defined by feature j measured on user-defined examples
 (i.e., training or testing samples). The user can optionally threshold both
 sets of importance measures to include only splits that are statistically
 significant as measured using an F-test.

Package: r-cran-muma
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-pdist, r-cran-pls, r-cran-gplots, r-cran-mvtnorm, r-cran-robustbase, r-cran-gtools, r-cran-bitops, r-cran-catools, r-cran-pcapp, r-cran-rrcov
Filename: pool/dists/focal/main/r-cran-muma_1.4-1.ca2004.1_all.deb
Size: 212240
MD5sum: 4ca5ee6de81a06662ea3d41866755de0
SHA1: 66aa4361870d3046908867b06a62540e17c5de0e
SHA256: 8fc96c9a27da6d6cd8d2b13f0a469469e422984bcf15cdd2c00b7dea52b5940b
SHA512: 0028827577894b46ed7dedc51994bf083e9ff9f9182d15fcfdcef6a74f8b53f05f1d07650369e0604e0a693a7d22e932b18e2d2a2a69efad2f837d3e549aa367
Homepage: https://cran.r-project.org/package=muma
Description: CRAN Package 'muma' (Metabolomics Univariate and Multivariate Analysis)
 Preprocessing of high-throughput data (normalization and scalings);
 Principal Component Analysis with help tool for choosing best-separating
 principal components and automatic testing for outliers; automatic
 univariate analysis for parametric and non-parametric data, with generation
 of specific reports (volcano and box plots); partial least square
 discriminant analysis (PLS-DA); orthogonal partial least square discriminant
 analysis (OPLS-DA); Statistical Total Correlation Spectroscopy (STOCSY);
 Ratio Analysis Nuclear Magnetic Resonance (NMR) Spectroscopy (RANSY).

Package: r-cran-mumin
Architecture: all
Version: 1.48.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-nlme, r-cran-insight
Suggests: r-cran-lme4, r-cran-mgcv, r-cran-gamm4, r-cran-mass, r-cran-nnet, r-cran-survival, r-cran-geepack, r-cran-performance
Filename: pool/dists/focal/main/r-cran-mumin_1.48.11-1.ca2004.1_all.deb
Size: 908652
MD5sum: fd2cef777ae2605b694cf00dee3c0e21
SHA1: 42c724d36d6e8d7678ecd4d6f51a1ada9fcd248d
SHA256: 4b9d89ff214d73ae65fe2e22558dbe0b23a97ed1fc6da4deebbfcdabf6f80ecb
SHA512: a4a61450519667b6c7b3b55a27280be1a81e1da4dc275a5109e8361eb3b7fa8e8197c8e6779a5ed5cbd226cd02c457f12f4ba8bca08452c8d26831424c6769a4
Homepage: https://cran.r-project.org/package=MuMIn
Description: CRAN Package 'MuMIn' (Multi-Model Inference)
 Tools for model selection and model averaging with support for a wide range
 of statistical models. Automated model selection through subsets of the
 maximum model, with optional constraints for model inclusion. Averaging of
 model parameters and predictions based on model weights derived from
 information criteria (AICc and alike) or custom model weighting schemes.

Package: r-cran-munfold
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-memisc, r-cran-mass
Filename: pool/dists/focal/main/r-cran-munfold_0.3.5-1.ca2004.1_all.deb
Size: 60432
MD5sum: 02629192862929e5ba079422ab886094
SHA1: aed4256e506242d3283056059d1abe0ab75a5ed3
SHA256: f7e444465e2c72ca676acfa97a1c20750db72846051169f9099b480966f612af
SHA512: f1065f6c2af05719bdb267726b8976db9e3db691856c365519ed054e3e67a87cee415fbf4fc657f643d1ed87eeea77e6899b33436fd169ac06358c94d9f2430c
Homepage: https://cran.r-project.org/package=munfold
Description: CRAN Package 'munfold' (Metric Unfolding)
 Multidimensional unfolding using Schoenemann's algorithm for metric and
 Procrustes rotation of unfolding results.

Package: r-cran-munsell
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-munsell_0.5.1-1.ca2004.1_all.deb
Size: 231840
MD5sum: e395dfec9cd17dcea1e4811785b72681
SHA1: 23e8d6840b4f75ecd9121dca60af6578e50aaac9
SHA256: 20afc934130a8cdf3c7bce0e1a480f233f8cc9e0fd3c9ab8a354fbe5acb46202
SHA512: d6abef40877b92520671ca1cdb06511cb448dfa337583e1ec7c012d8fc5a08245e411fe204c76fc8dcf3b59d22f57ec0c70b28cbb8868392f1a436944005724a
Homepage: https://cran.r-project.org/package=munsell
Description: CRAN Package 'munsell' (Utilities for Using Munsell Colours)
 Provides easy access to, and manipulation of, the Munsell colours. Provides
 a mapping between Munsell's original notation (e.g. "5R 5/10") and
 hexadecimal strings suitable for use directly in R graphics. Also provides
 utilities to explore slices through the Munsell colour tree, to transform
 Munsell colours and display colour palettes.

Package: r-cran-munsellinterpol
Architecture: all
Version: 3.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2063
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rootsolve, r-cran-spacesrgb, r-cran-spacesxyz, r-cran-logger
Suggests: r-cran-microbenchmark, r-cran-mgcv, r-cran-knitr, r-cran-rmarkdown, r-cran-colorspec, r-cran-flextable, r-cran-oxsr
Filename: pool/dists/focal/main/r-cran-munsellinterpol_3.2-0-1.ca2004.1_all.deb
Size: 1287864
MD5sum: f23d7a5d9446146acb4bbf4d2b35fdda
SHA1: 95bad25ab35ad6bef31ca9ff3970e0bb0675c448
SHA256: d511c247062486563375dbc4932bfe552468c62dfb4968cd935000c4847e9aae
SHA512: 853cbb1e5fbd5c0af88580fba42cbf3d9879719806b3dde9b5c1f94d01f67c737433a475da517d32946c197a3950ddcd4f682350d8083c8bf881db92a33dd352
Homepage: https://cran.r-project.org/package=munsellinterpol
Description: CRAN Package 'munsellinterpol' (Interpolate Munsell Renotation Data from Hue Value/Chroma toCIE/RGB)
 Methods for interpolating data in the Munsell color system following the
 ASTM D-1535 standard. Hues and chromas with decimal values can be
 interpolated and converted to/from the Munsell color system and CIE xyY, CIE
 XYZ, CIE Lab, CIE Luv, or RGB.  Includes ISCC-NBS color block lookup.  Based
 on the work by Paul Centore, "The Munsell and Kubelka-Munk Toolbox".

Package: r-cran-mupetflow
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 675
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-biocmanager, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-markdown, r-cran-shiny, r-cran-shinythemes, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-knitr, r-bioc-flowcore, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mupetflow_0.1.1-1.ca2004.1_all.deb
Size: 524476
MD5sum: ba047b987b78f425bfcf91a8000fd1af
SHA1: 25f9449a5d6506d8de67809599eded6741d9c800
SHA256: 0b1d3328356969a6e7d78a39d38535f8336c4580999ab6d0b23da66dd9578708
SHA512: 059b070c76f53e9f08579c606bf67afb2273ae9920960b761934339678090048db54a914d482d2c233bb353463a29ce1342b1a2d375876ea0e4fec1e85b39414
Homepage: https://cran.r-project.org/package=MuPETFlow
Description: CRAN Package 'MuPETFlow' (Multiple Ploidy Estimation Tool for all Species Compatible withFlow Cytometry)
 A graphical user interface tool to estimate ploidy from DNA cells stained
 with fluorescent dyes and analyzed by flow cytometry, following the
 methodology of Gómez-Muñoz and Fischer (2024)
 <doi:10.1101/2024.01.24.577056>. Features include multiple file uploading
 and configuration, peak fluorescence intensity detection, histogram
 visualizations, peak error curation, ploidy and genome size calculations,
 and easy results export.

Package: r-cran-murl
Architecture: all
Version: 0.1-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2993
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maps, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-murl_0.1-13-1.ca2004.1_all.deb
Size: 1061564
MD5sum: 28f7cd9cf8bd42afefdd275595047749
SHA1: fb57a76d1375411e030b596154bfad1ae61d125d
SHA256: 49369d2c769b7fa91474f8bdbd201d19e74c001d445c5a99db10230db4daa192
SHA512: bc5703bc40364c9b06e15807343d942f5f6fdbb15ac0547c86e41f2dd1a5d3c992f927846bfadab14faaaaecafdaf55d719a99702527e26e25cefd912324885a
Homepage: https://cran.r-project.org/package=muRL
Description: CRAN Package 'muRL' (Mailmerge using R, LaTeX, and the Web)
 Provides mailmerge methods for reading spreadsheets of addresses and other
 relevant information to create standardized but customizable letters.
 Provides a method for mapping US ZIP codes, including those of letter
 recipients.  Provides a method for parsing and processing html code from
 online job postings of the American Political Science Association.

Package: r-cran-murphydiagram
Architecture: all
Version: 0.12.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-murphydiagram_0.12.2-1.ca2004.1_all.deb
Size: 61320
MD5sum: b99050e6cea5f5ef85d1ccf12b86826d
SHA1: 502a299ba69f0f1a7d72f9e6dd7171f8692299da
SHA256: 060b53e0e8d093709267eeb8f260246ebd47073435675855875e75b6498a4452
SHA512: 3a50ef06910932999d54db98c37a36385470e8b269811c0af822baa2676dd83c1e3f3a248124e290aa3609933055aa6fec7b84eab300e67401b716f1ce2e184d
Homepage: https://cran.r-project.org/package=murphydiagram
Description: CRAN Package 'murphydiagram' (Murphy Diagrams for Forecast Comparisons)
 Data and code for the paper by Ehm, Gneiting, Jordan and Krueger ('Of
 Quantiles and Expectiles: Consistent Scoring Functions, Choquet
 Representations, and Forecast Rankings', JRSS-B, 2016
 <DOI:10.1111/rssb.12154>).

Package: r-cran-murty
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clue, r-cran-lpsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-murty_0.3.1-1.ca2004.1_all.deb
Size: 50256
MD5sum: 6d885908ab5c1f519712f28a787e1820
SHA1: 68113d5e79115e8896df04d3d75b144a2ad301f1
SHA256: 25d9c0c893696e77a37e543086c242d2cd09198c67387a2e75ec7183867fd7f7
SHA512: 4aa91c02b536fb1feb8d1f763f1bc5f309914116a9b77c5cc39147846ed97d861f3ba44280d22a50111d76903520c221ca516933e3569bee937998cebb480214
Homepage: https://cran.r-project.org/package=muRty
Description: CRAN Package 'muRty' (Murty's Algorithm for k-Best Assignments)
 Calculates k-best solutions and costs for an assignment problem following
 the method outlined in Murty (1968) <doi:10.1287/opre.16.3.682>.

Package: r-cran-mus
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-desctools, r-cran-pander
Filename: pool/dists/focal/main/r-cran-mus_0.1.6-1.ca2004.1_all.deb
Size: 129392
MD5sum: eba40e0c26bbca21d87c1743e3c1d939
SHA1: 7c93b487647b59a803bfa98d332232186eb5ac6f
SHA256: eebb93312e62af20cff848cb31b0a89bf4667aef9108add0c4078a030ef5dbd7
SHA512: c29a614a6b2df05879eb855dd9248a4867d37e4f86cb42f87ec6144807340741b5f35fd26805075ea04f938a0351ca075798431cece74e12b14b9b5ae5951ca0
Homepage: https://cran.r-project.org/package=MUS
Description: CRAN Package 'MUS' (Monetary Unit Sampling and Estimation Methods, Widely Used inAuditing)
 Sampling and evaluation methods to apply Monetary Unit Sampling (or in older
 literature Dollar Unit Sampling) during an audit of financial statements.

Package: r-cran-musclesynergies
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1626
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fnn, r-cran-ggplot2, r-cran-gridextra, r-cran-plyr, r-cran-proxy, r-cran-reshape2, r-cran-signal, r-cran-umap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-musclesynergies_1.2.5-1.ca2004.1_all.deb
Size: 1452184
MD5sum: 127fe5d0fbc2a1c23db8412d3a81a246
SHA1: 6b4f2d1f4d21da2a630ca459ecf7738b900712d5
SHA256: 32a8775dc0b1b06c735f26dc3a74717424ed691518a7cfc34dfb2db22e9c4d9f
SHA512: f0397ba0b148209e61aaa584493fdf2fe3c2060021c46ee0c2b0b85e2399263e8ba2a10980f43f485ef9ee3dfcd8c869b9bc37084136d5f00711814d089cb2ae
Homepage: https://cran.r-project.org/package=musclesyneRgies
Description: CRAN Package 'musclesyneRgies' (Extract Muscle Synergies from Electromyography)
 Provides a framework to factorise electromyography (EMG) data.  Tools are
 provided for raw data pre-processing, non negative matrix factorisation,
 classification of factorised data and plotting of obtained outcomes.  In
 particular, reading from ASCII files is supported, along with wide-used
 filtering approaches to process EMG data. All steps include one or more
 sensible defaults that aim at simplifying the workflow. Yet, all functions
 are largely tunable at need. Example data sets are included.

Package: r-cran-music
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-audio, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-music_0.1.2-1.ca2004.1_all.deb
Size: 67300
MD5sum: d9c8a236c0fdf212b0072d676902e618
SHA1: 2a9cd468bee2c260f01889931a516dfd1344cd5a
SHA256: 79929af103d9c372bc6b52f9fd3d565cbac85a4d21ac589e08ce80ac17aca5f5
SHA512: 8798fcf487e92baada65c86e38378faae1662523f2f08d10da67ba9017446364a9d5579f30b2726879e7b76b7b5e94426c85023e368004be288cbb7734eb61f9
Homepage: https://cran.r-project.org/package=music
Description: CRAN Package 'music' (Learn and Experiment with Music Theory)
 An aid for learning and using music theory. You can build chords, scales,
 and chord progressions using 12-note equal temperament tuning (12-ET) or
 user-defined tuning. Includes functions to visualize notes on a piano using
 ASCII plots in the console and to plot waveforms using base graphics. It
 allows simple playback of notes and chords using the 'audio' package.

Package: r-cran-musicmct
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1975
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-musicmct_0.1.2-1.ca2004.1_all.deb
Size: 1196700
MD5sum: 1951018648653ab14f1ec1450f8c7cae
SHA1: e534da3fb7943d3eb9f1c14d2c37a57059d2d754
SHA256: f290bdcbda03a1305503029e09dfa7a0429e312c204e3aba28078ca5f675fdad
SHA512: df2d4708e2471edb01feb1529cc77333e34abded6dd351761f40f0bd35bc053c445937945ae93b51348fd3ddcc4519a8d0331e35eeeeee48c8edece6785376b3
Homepage: https://cran.r-project.org/package=musicMCT
Description: CRAN Package 'musicMCT' (Analyze the Structure of Musical Scales)
 Analysis of musical scales (& modes, grooves, etc.) in the vein of Sherrill
 2025 <https://collections.lib.utah.edu/ark:/87278/s6d2gr78>.  The initials
 MCT in the package title refer to the article's title: "Modal Color Theory."
 Offers support for conventional musical pitch class set theory as developed
 by Forte (1973, ISBN: 9780300016109) and David Lewin (1987, ISBN:
 9780300034936), as well as for the continuous geometries of Callender,
 Quinn, & Tymoczko (2008) <doi:10.1126/science.1153021>.  Identifies
 structural properties of scales and calculates derived values (sign vector,
 color number, brightness ratio, etc.). Creates plots such as "brightness
 graphs" which visualize these properties.

Package: r-cran-musicnmr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2518
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-seewave
Filename: pool/dists/focal/main/r-cran-musicnmr_1.0-1.ca2004.1_all.deb
Size: 2537416
MD5sum: 34002a59ca383f6a576b2dafdb04179e
SHA1: 191e0f7b873d8456216122d4fbde04d069420982
SHA256: 1fc8c5869d5acecafba493ae83252a7e15de9030ddfdabdc9da79693b900b3ed
SHA512: 0c6df086de5ca6c0ce89e87510507a494488d5097a672b978c021900b2e805aee162659621cbeba205ec09b85736219440b7c1a99060dfa9f0e9ee8e2c0f6700
Homepage: https://cran.r-project.org/package=musicNMR
Description: CRAN Package 'musicNMR' (Conversion of Nuclear Magnetic Resonance Spectra in Audio Files)
 A collection of functions for converting and visualization the free
 induction decay of mono dimensional nuclear magnetic resonance (NMR) spectra
 into an audio file. It facilitates the conversion of Bruker datasets in
 files WAV. The sound of NMR signals could provide an alternative to the
 current representation of the individual metabolic fingerprint and supply
 equally significant information. The package includes also NMR spectra of
 the urine samples provided by four healthy donors. Based on Cacciatore S,
 Saccenti E, Piccioli M. Hypothesis: the sound of the individual metabolic
 phenotype? Acoustic detection of NMR experiments. OMICS. 2015;19(3):147-56.
 <doi:10.1089/omi.2014.0131>.

Package: r-cran-musicxml
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 949
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-gganimate, r-cran-av
Filename: pool/dists/focal/main/r-cran-musicxml_1.0.1-1.ca2004.1_all.deb
Size: 416216
MD5sum: 66e9563355290bc36901d1b2ea0ff271
SHA1: a8f50986f519abacf9ad9e9fb991c27ba7d00f11
SHA256: d5f8d50f7908df8275888e13ad50c478741029a73eb04e9a44cbaa2f1900fa1f
SHA512: 4e93f4eea764fbb665e186258ca2ec7d97b243e9472e87b4e76c2b17dc37b862d9ef3c788aafee453300164cb8d9df996ff4491878d7cee4a7cc5e7c57298ef5
Homepage: https://cran.r-project.org/package=musicXML
Description: CRAN Package 'musicXML' (Data Sonification using 'musicXML')
 A set of tools to facilitate data sonification and handle the 'musicXML'
 format <https://usermanuals.musicxml.com/MusicXML/Content/XS-MusicXML.htm>.
 Several classes are defined for basic musical objects such as note pitch,
 note duration, note, measure and score.  Moreover, sonification utilities
 functions are provided, e.g. to map data into musical attributes such as
 pitch, loudness or duration.  A typical sonification workflow hence looks
 like: get data; map them to musical attributes; create and write the
 'musicXML' score, which can then be further processed using specialized
 music software (e.g. 'MuseScore', 'GuitarPro', etc.).  Examples can be found
 in the blog <https://globxblog.github.io/>, the presentation by Renard and
 Le Bescond (2022, <https://hal.science/hal-03710340v1>) or the poster by
 Renard et al. (2023, <https://hal.inrae.fr/hal-04388845v1>).

Package: r-cran-mustashe
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-formatr, r-cran-qs, r-cran-here
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-mustashe_0.1.4-1.ca2004.1_all.deb
Size: 163784
MD5sum: 43e872fb16ba9a4eb1f304037a331cdc
SHA1: a859d2a1a8821ced7d4436461747d02c7a27e019
SHA256: 26854eb733029e998feac0a41fcae50ea5b4ce9f380fd70bd978723309f120da
SHA512: db705512b8eb5f1bb5cf1411e57563a380f50f6541933d1b3ac70c2e9e5c10bc52181c621f9ce0bd3a5b5fab93092b49399fa338f194599b4e53c18ea3149054
Homepage: https://cran.r-project.org/package=mustashe
Description: CRAN Package 'mustashe' (Stash and Load Objects)
 A simple system for saving and loading objects in R. Long running
 computations can be stashed after the first run and then reloaded the next
 time. Dependencies can be added to ensure that a computation is re-run if
 any of its dependencies or inputs have changed.

Package: r-cran-mustat
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mustat_1.7.0-1.ca2004.1_all.deb
Size: 131364
MD5sum: 33d5bfa20ab72e5eba4d102a442feb21
SHA1: 00199ac2f50d0bbd741a3e88bc7cf50a4b495818
SHA256: 278e579a06b6db4b4ac2ee6e0ab24a5ff129bab182d2ca521b0e32c544acc079
SHA512: 6d396bd64fa3891dd47c10ede6da7c389b8e3621dda6efd9afa96579d497f70cbf5546af97e48a9b7f7e5a6b32d99e007d4f05237ad7926903c326e53ad273e8
Homepage: https://cran.r-project.org/package=muStat
Description: CRAN Package 'muStat' (Prentice Rank Sum Test and McNemar Test)
 Performs Wilcox rank sum test, Kruskal rank sum test, Friedman rank sum test
 and McNemar test.

Package: r-cran-mut
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-familias, r-cran-paramlink, r-cran-expm, r-cran-ibdsim
Filename: pool/dists/focal/main/r-cran-mut_1.1-1.ca2004.1_all.deb
Size: 37552
MD5sum: 3c944a319de5b0ba78afd464e1a5effe
SHA1: 1678d843692ba4fc6bab6018a8793df5e3cba714
SHA256: 900d2dd9bf1a97f11ace4ce72914d7dcce1d5d2c2c6d65184580abff0ca31d99
SHA512: 2645d52a91c80ae56ce58045afc808a4e6f6bed9b231bcbc8027b68846d7450bc58539c26ae674de9862cc331860940ba9264fa6b7d203b1fb84e0f25c4fe5c6
Homepage: https://cran.r-project.org/package=mut
Description: CRAN Package 'mut' (Pairwise Likelihood Ratios)
 Main function LR2 calculates likelihood ratio for non-inbred relationships
 accounting for mutation, silent alleles and theta correction. Egeland, Pinto
 and Amorim (2017) <DOI:10.1016/j.fsigen.2017.04.018>.

Package: r-cran-mutationtypes
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertions, r-cran-cli, r-cran-data.table
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mutationtypes_0.0.1-1.ca2004.1_all.deb
Size: 72368
MD5sum: 569aa779462aab6662b3ad3f80b77669
SHA1: 908a75d3fb0dcde7bb3a04cdfc04cab2baa0b32a
SHA256: c6c74078788807349c55bd4306014220715c85444040fa2519b41f171007eef9
SHA512: d5f6e918f54f288dc752e7d27200783c9bdf4296e2cc39716e4a2a6d4632337056dc507794f014cc80f4fa6d85867cde3ece7f99b7a6c5fb4ccfb397173034a3
Homepage: https://cran.r-project.org/package=mutationtypes
Description: CRAN Package 'mutationtypes' (Validate and Convert Mutational Impacts Using Standard GenomicDictionaries)
 Check concordance of a vector of mutation impacts with standard dictionaries
 such as Sequence Ontology (SO) <http://www.sequenceontology.org/>, Mutation
 Annotation Format (MAF)
 <https://docs.gdc.cancer.gov/Encyclopedia/pages/Mutation_Annotation_Format_TCGAv2/>
 or Prediction and Annotation of Variant Effects (PAVE)
 <https://github.com/hartwigmedical/hmftools/tree/master/pave>.  It enables
 conversion between SO/PAVE and MAF terms and selection of the most severe
 consequence where multiple ampersand (&) delimited impacts are given.

Package: r-cran-mutoss
Architecture: all
Version: 0.1-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1218
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-plotrix, r-bioc-multtest, r-cran-multcomp
Suggests: r-cran-fdrtool, r-bioc-qvalue, r-cran-testthat, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-mutoss_0.1-13-1.ca2004.1_all.deb
Size: 1125024
MD5sum: bb9da0ffdf046c71ebb24dec5679bf5a
SHA1: 437dbca3c484b45af127bafa1a8ec78f1cff3f22
SHA256: efbfc037b9d0f3738d73c986670c6cd2c5140275f82f89b230983f63edee7833
SHA512: fd8daf775a2765a28cf0299cdfce68be5b5244aa0e510058965dc513d90f20c96a8e86421a1d22b24effcd239febe8bc37193732501e4d3cf0f18ec32e788485
Homepage: https://cran.r-project.org/package=mutoss
Description: CRAN Package 'mutoss' (Unified Multiple Testing Procedures)
 Designed to ease the application and comparison of multiple hypothesis
 testing procedures for FWER, gFWER, FDR and FDX. Methods are standardized
 and usable by the accompanying 'mutossGUI'.

Package: r-cran-mutossgui
Architecture: all
Version: 0.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mutoss, r-cran-multcomp, r-cran-plotrix, r-cran-rjava, r-cran-javagd, r-cran-commonjavajars, r-cran-jgr
Filename: pool/dists/focal/main/r-cran-mutossgui_0.1-12-1.ca2004.1_all.deb
Size: 169012
MD5sum: b59a94a06bd29268b7a0181c6abfc2e2
SHA1: 9ef8e3de6b370e5fdb9de02e7ed3e6d8685aa11e
SHA256: cb18cbf55b253b6e40e8b53aadb4f7d596d9ac14a4833b0e372cf49086ddda2f
SHA512: d5588f4e5c4c967f5052a0b20cf5b0173f229ca822b8673c521561ad1ad2646f4591e5de35afb27f2ec7ea2b13777e3e339f837f23eed734699913aabb6b6774
Homepage: https://cran.r-project.org/package=mutossGUI
Description: CRAN Package 'mutossGUI' (A Graphical User Interface for the MuToss Project)
 Provides a graphical user interface for the MuToss Project.

Package: r-cran-mutsignatures
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2371
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-cluster, r-cran-doparallel, r-cran-ggplot2, r-cran-pracma, r-cran-proxy
Suggests: r-cran-dplyr, r-cran-reshape2, r-cran-kableextra, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mutsignatures_2.1.1-1.ca2004.1_all.deb
Size: 1683808
MD5sum: 249c88ab9d2b4152e3c259029e6c7e38
SHA1: c535000ae7051f99ca7ee2f913d75ff5a745ed80
SHA256: e7b52dc01177c17a25bed24eb9b4a6e43d221071af6160b3eca1b8531a26ae13
SHA512: 4724af7b1ccb15a0091caa5b034c8b47170cc301ef1270a7bd53e736a9366b58d843dec6a6035397d6d92ea2e53197b15fa114ec3d6fa79aeb51eb69dcabe7fe
Homepage: https://cran.r-project.org/package=mutSignatures
Description: CRAN Package 'mutSignatures' (Decipher Mutational Signatures from Somatic Mutational Catalogs)
 Cancer cells accumulate DNA mutations as result of DNA damage and DNA repair
 processes. This computational framework is aimed at deciphering DNA
 mutational signatures operating in cancer. The framework includes modules
 that support raw data import and processing, mutational signature
 extraction, and results interpretation and visualization. The framework
 accepts widely used file formats storing information about DNA variants,
 such as Variant Call Format files. The framework performs Non-Negative
 Matrix Factorization to extract mutational signatures explaining the
 observed set of DNA mutations. Bootstrapping is performed as part of the
 analysis. The framework supports parallelization and is optimized for use on
 multi-core systems. The software was described by Fantini D et al (2020)
 <doi:10.1038/s41598-020-75062-0> and is based on a custom R-based
 implementation of the original MATLAB WTSI framework by Alexandrov LB et al
 (2013) <doi:10.1016/j.celrep.2012.12.008>.

Package: r-cran-muttest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-testthat, r-cran-tibble, r-cran-treesitter, r-cran-treesitter.r, r-cran-withr
Suggests: r-cran-box, r-cran-covr, r-cran-cucumber, r-cran-ggplot2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-muttest_0.1.0-1.ca2004.1_all.deb
Size: 293852
MD5sum: ccbcb2a45fa420dd017ec3481465dc28
SHA1: 3a3603d03189284a0b2941949cd2fc1de4cefebc
SHA256: c4978c802589a20b416df89049c29055fbad5bb11da3b39680a6f168b1ed6224
SHA512: 6038cd31eb6e51bca7d785e7e51f0254859d2f3493d8c48b4f74f29a8eee8e7ab1c192e0f23a45c88fe86ddea56e7e1543709800b5d8a65b8079a4ef51b1f779
Homepage: https://cran.r-project.org/package=muttest
Description: CRAN Package 'muttest' (Mutation Testing)
 Measure quality of your tests.  'muttest' introduces small changes
 (mutations) to your code and runs your tests to check if they catch the
 changes.  If they do, your tests are good.  If not, your assertions are not
 specific enough.  'muttest' gives you percent score of how often your tests
 catch the changes.

Package: r-cran-muvicp
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sm, r-cran-mass, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-muvicp_1.3.2-1.ca2004.1_all.deb
Size: 131316
MD5sum: fe1753909f977899722c227d91a83027
SHA1: 0fd3c725db42c7b6802c8bb9ef464093fd57cebb
SHA256: 0a304d16a7a4501f1ec2bc146823e0527c4e8cf9b1fffcabd910c7482f8d5d7a
SHA512: 6d6783bf9f9401d4a9e74081d358d6271b307c6d17ad56b0b0bb8eb9a660edf087875e024d71a50e174b92b373b716b9381d514df813d6c94033b9e200c103d7
Homepage: https://cran.r-project.org/package=MuViCP
Description: CRAN Package 'MuViCP' (MultiClass Visualizable Classification using Combination ofProjections)
 An ensemble classifier for multiclass classification. This is a novel
 classifier that natively works as an ensemble. It projects data on a large
 number of matrices, and uses very simple classifiers on each of these
 projections. The results are then combined, ideally via Dempster-Shafer
 Calculus.

Package: r-cran-muvr2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4710
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-randomforest, r-cran-ranger, r-cran-proc, r-cran-doparallel, r-cran-foreach, r-cran-caret, r-cran-glmnet, r-cran-dplyr, r-cran-psych, r-cran-magrittr, r-cran-mgcv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-muvr2_0.1.0-1.ca2004.1_all.deb
Size: 4520204
MD5sum: 0d42bd63b4a365c69366a03c2f564ed6
SHA1: 4252106e1bdbd6121c2832ff1d3edbbb4a86a136
SHA256: 77d457d3662368a478943c43783cebb4da746fe378e037bb989453ecae5c2266
SHA512: 3c33986998c256dec5670a7e0aaddc91bc742bb3c4e217b64c22bad202e50048e1f1fe04467be638b9c031f92c42687671f55fe75b989e7ae9e363fa53150ea1
Homepage: https://cran.r-project.org/package=MUVR2
Description: CRAN Package 'MUVR2' (Multivariate Methods with Unbiased Variable Selection)
 Predictive multivariate modelling for metabolomics.  Types: Classification
 and regression.  Methods: Partial Least Squares, Random Forest ans Elastic
 Net Data structures: Paired and unpaired Validation: repeated double
 cross-validation (Westerhuis et al. (2008)<doi:10.1007/s11306-007-0099-6>,
 Filzmoser et al. (2009)<doi:10.1002/cem.1225>) Variable selection: Performed
 internally, through tuning in the inner cross-validation loop.

Package: r-cran-mva
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hsaur2
Suggests: r-cran-mvtnorm, r-cran-mclust, r-cran-lattice, r-cran-flexclust, r-cran-nlme, r-cran-rlrsim, r-cran-multcomp, r-cran-ape, r-cran-mass, r-cran-sem, r-cran-kernsmooth, r-cran-scatterplot3d, r-cran-ellipse
Filename: pool/dists/focal/main/r-cran-mva_1.0-9-1.ca2004.1_all.deb
Size: 82176
MD5sum: 26ccb16a836937bd6b1a50c56d713fd6
SHA1: b7d7a372d584f22135811fe5bab2f89f552137b8
SHA256: e50feab4ac8b98c04dc2059c42282f05dab69a425be0fa11e1c917d8d9e11481
SHA512: e5476f15d44660e301ce72f3b895ee65fb4b98f38185057901319a836289bdd058a2f8ede09740c4b2223186503acb51c571ea770e97bf5002e9027bc5005fd5
Homepage: https://cran.r-project.org/package=MVA
Description: CRAN Package 'MVA' (An Introduction to Applied Multivariate Analysis with R)
 Functions, data sets, analyses and examples from the book `An Introduction
 to Applied Multivariate Analysis with R' (Brian S. Everitt and Torsten
 Hothorn, Springer, 2011).

Package: r-cran-mvbinary
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-mvbinary_1.1-1.ca2004.1_all.deb
Size: 302672
MD5sum: 31aa6b79cc7d33d92f222f9745d4a7b6
SHA1: cde430e6857fbee1b0aa2513a85d3c62366c27d4
SHA256: b28a238f90a5e91b7a40c719ff71f38dcb05d5639e5644ce7293a50f7fdfd714
SHA512: 6c4ac68735c52bcc649ec3267082da3b7ca5a52a62e8fd2dd7c116252777fbd95069c37aa0d41aecb4666fd486ec9b19c7a17822e046bc1b49ac121d87b9dba3
Homepage: https://cran.r-project.org/package=MvBinary
Description: CRAN Package 'MvBinary' (Modelling Multivariate Binary Data with Blocks of SpecificOne-Factor Distribution)
 Modelling Multivariate Binary Data with Blocks of Specific One-Factor
 Distribution. Variables are grouped into independent blocks. Each variable
 is described by two continuous parameters (its marginal probability and its
 dependency strength with the other block variables), and one binary
 parameter (positive or negative dependency). Model selection consists in the
 estimation of the repartition of the variables into blocks. It is carried
 out by the maximization of the BIC criterion by a deterministic (faster)
 algorithm or by a stochastic (more time consuming but optimal) algorithm.
 Tool functions facilitate the model interpretation.

Package: r-cran-mvbutils
Architecture: all
Version: 2.8.232-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 648
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvbutils_2.8.232-1.ca2004.1_all.deb
Size: 580216
MD5sum: 096d9b28d6d5977c6431d5a03d2d673f
SHA1: 78491c4e4589d6e37461345325550ddf98d21422
SHA256: b9982d52498d8aec129ac206e08d521ae7e3ae0c1ce7450504002464106cdcf7
SHA512: 1c8d7791ad810e03a727fbda02b7e11c870373b184df9fa1259c8a48dd5e307f1ac4ca6a7aa78fca946913e405881def9ca27a2dbcc0694d83f9c35293c7368e
Homepage: https://cran.r-project.org/package=mvbutils
Description: CRAN Package 'mvbutils' (Workspace Organization, Code and Documentation Editing, PackagePrep and Editing, Etc)
 Hierarchical workspace tree, code editing and backup, easy package prep,
 editing of packages while loaded, per-object lazy-loading, easy
 documentation, macro functions, and miscellaneous utilities. Needed by debug
 package.

Package: r-cran-mvc
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rattle
Filename: pool/dists/focal/main/r-cran-mvc_1.3-1.ca2004.1_all.deb
Size: 74264
MD5sum: e9b82794f0966caf41248677579d6f18
SHA1: fe05ec42786f5946557f586a9730936193ef19e7
SHA256: aa6d6690d89f394bf53a901f3d03dba188f877cdc092698b2c52427233049d60
SHA512: 1d2a67fb6a33c8347bf35b0a4f6f78ea3f4c9544441c3efcd02b2c045902a4acc7ee73754975dcc82c5e668896e0215061e6042e7604af2b4ff40bb8933dc073
Homepage: https://cran.r-project.org/package=mvc
Description: CRAN Package 'mvc' (Multi-View Clustering)
 An implementation of Multi-View Clustering (Bickel and Scheffer, 2004).
 Documents are generated by drawing word values from a categorical
 distribution for each word, given the cluster. This means words are not
 counted (multinomial, as in the paper), but words take on different values
 from a finite set of values (categorical). Thus, it implements Mixture of
 Categoricals EM (as opposed to Mixture of Multinomials developed in the
 paper), and Spherical k-Means. The latter represents documents as vectors in
 the categorical space.

Package: r-cran-mvcauchy
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-mvcauchy_1.1-1.ca2004.1_all.deb
Size: 43816
MD5sum: 0ab89b6eecb2dda9a60ea03f15df8cc1
SHA1: 3097c238aae4f7ed1c529c7004f82dca5b66b3ae
SHA256: 9fc2c085db3640ae92551caa86b29274e061c7c49e89448549f0ea96cf4eaa04
SHA512: ba7c1e57817c5bfe272052d80625b31fdb6ef32818de4a76219747e06b63710d01ef3cd1023260203e927c8e331af4db4f9f2e6d3ae2d90943ed9ade5830540c
Homepage: https://cran.r-project.org/package=mvcauchy
Description: CRAN Package 'mvcauchy' (Multivariate Cauchy Distribution)
 The Cauchy distribution is a special case of the t distribution when the
 degrees of freedom are equal to 1. The functions are related to the
 multivariate Cauchy distribution and include simulation, computation of the
 density, maximum likelihood estimation, contour plot of the bivariate Cauchy
 distribution, and discriminant analysis. References include: Nadarajah S.
 and Kotz S. (2008). "Estimation methods for the multivariate t
 distribution". Acta Applicandae Mathematicae, 102(1): 99--118.
 <doi:10.1007/s10440-008-9212-8>, and Kanti V. Mardia, John T. Kent and John
 M. Bibby (1979). "Multivariate analysis", ISBN:978-0124712522. Academic
 Press, London.

Package: r-cran-mvcor
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast
Suggests: r-cran-corrfuns, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-mvcor_1.1-1.ca2004.1_all.deb
Size: 29008
MD5sum: 021ae21830243bdc6be404e3ef9e0d6c
SHA1: 7b4bb5a3d24b246b98c3f10c2cb9f721f73ab054
SHA256: e59ed40c6c24361e372bf8778b7307398d60c44e8662c713aacfc9d45a0fd0e4
SHA512: 39e8362215f85b5171f7f21087f940add285b9468707deb9d0103691b51cbaedd82830c558445927f853af8dfec7aa5a908dff68f996ffbd7987250bbd706297
Homepage: https://cran.r-project.org/package=mvcor
Description: CRAN Package 'mvcor' (Correlation Coefficients for Multivariate Data)
 Correlation coefficients for multivariate data, namely the squared
 correlation coefficient and the RV coefficient (multivariate generalization
 of the squared Pearson correlation coefficient). References include Mardia
 K.V., Kent J.T. and Bibby J.M. (1979). "Multivariate Analysis". ISBN:
 978-0124712522. London: Academic Press.

Package: r-cran-mvctm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-mnm, r-cran-nlme, r-cran-quantreg, r-cran-rfit, r-cran-spatialnp
Filename: pool/dists/focal/main/r-cran-mvctm_1.2-1.ca2004.1_all.deb
Size: 97740
MD5sum: f162a70abf25630a9c914a2b429ea7b1
SHA1: 96fc023f860b185264411605be000dfe89f92657
SHA256: 1fd97198beeddf9f923509ac875ee564143ee3e2044fa74de25cd82582979191
SHA512: 85ccb58a1c526c53bcbb51266e0a659efb24feeeb3dca1fee6eb060b4e67d03f8eb7ec4592e472e1834ee4d249c100a2c31c2e4dc6c86b8c951a760b29692cc8
Homepage: https://cran.r-project.org/package=mvctm
Description: CRAN Package 'mvctm' (Multivariate Variance Components Tests for Multilevel Data)
 Permutation tests for variance components for 2-level, 3-level and 4-level
 data with univariate or multivariate responses.

Package: r-cran-mvdalab
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-mass, r-cran-moments, r-cran-penalized, r-cran-plyr, r-cran-reshape2, r-cran-sn
Filename: pool/dists/focal/main/r-cran-mvdalab_1.7-1.ca2004.1_all.deb
Size: 778972
MD5sum: 4d6014c1c3f1f5bd233595e7121d870e
SHA1: 5fb855e0111fae7190fc168397deddf3b5908b23
SHA256: d69721b8b6ca71b757f721f765bfa97135d11fee1065c005f164d19b88da7a06
SHA512: 048c8d2c96135d5351fb5dc9aae8c5654a4107f4a8a36ef0f0e77b4617eafb14e5923b6d2de29fdbf83da203885f17136e9ea1c301103c2960369570729dc865
Homepage: https://cran.r-project.org/package=mvdalab
Description: CRAN Package 'mvdalab' (Multivariate Data Analysis Laboratory)
 An open-source implementation of latent variable methods and multivariate
 modeling tools. The focus is on exploratory analyses using dimensionality
 reduction methods including low dimensional embedding, classical
 multivariate statistical tools, and tools for enhanced interpretation of
 machine learning methods (i.e. intelligible models to provide important
 information for end-users).  Target domains include extension to dedicated
 applications e.g. for manufacturing process modeling, spectroscopic
 analyses, and data mining.

Package: r-cran-mvdfa
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-longmemo, r-cran-pbapply, r-cran-desolve, r-cran-robper, r-cran-mvtnorm, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mvdfa_0.0.4-1.ca2004.1_all.deb
Size: 166260
MD5sum: 5639a5fa03cbb831fee19693143d7e24
SHA1: 545c15e9f9a31ae106311a885d27f3f68620b2a7
SHA256: 8040e92bc1efbe7908cb43eeb6ae4ed9d9523e307541b71adfc2d1bd68da91ed
SHA512: 861c80823de39322c570aa94d07567a4ca1926263bd70f9614f0ef654f27b3b6d5d57606d0037c825bd0b1a997979dfb37bd9525564d484cbe8335cd0dbf26a4
Homepage: https://cran.r-project.org/package=mvDFA
Description: CRAN Package 'mvDFA' (Multivariate Detrended Fluctuation Analysis)
 This R package provides an implementation of multivariate extensions of a
 well-known fractal analysis technique, Detrended Fluctuations Analysis (DFA;
 Peng et al., 1995<doi:10.1063/1.166141>), for multivariate time series:
 multivariate DFA (mvDFA). Several coefficients are implemented that take
 into account the correlation structure of the multivariate time series to
 varying degrees. These coefficients may be used to analyze long memory and
 changes in the dynamic structure that would by univariate DFA. Therefore,
 this R package aims to extend and complement the original univariate DFA
 (Peng et al., 1995) for estimating the scaling properties of nonstationary
 time series.

Package: r-cran-mverse
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4873
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-multiverse, r-cran-rdpack, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr, r-cran-broom, r-cran-igraph, r-cran-ggraph, r-cran-ggplot2, r-cran-ggupset
Suggests: r-cran-tibble, r-cran-purrr, r-cran-scales, r-cran-mass, r-cran-testthat, r-cran-pkgdown, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-mverse_0.2.2-1.ca2004.1_all.deb
Size: 4180252
MD5sum: 47cf0d2cce9c79bbaeb5a71cc0c68a91
SHA1: fd2dd140a3a65a9893d5b003654dd14396a4a811
SHA256: 38fb0c2b106698db7eb723b8d06f5f4aae821bef8a1cc7b2ed401af6036645cf
SHA512: c005a21586062a56ba42fbd5e53d738c219701f40d26b76e82f064317e1dd14e44cc851917a1c9c6b49381d738bde7663f200b1e4f32d92a2cd3f42671aaa971
Homepage: https://cran.r-project.org/package=mverse
Description: CRAN Package 'mverse' (Tidy Multiverse Analysis Made Simple)
 Extends 'multiverse' package (Sarma A., Kale A., Moon M., Taback N.,
 Chevalier F., Hullman J., Kay M., 2021) <doi:10.31219/osf.io/yfbwm>, which
 allows users perform to create explorable multiverse analysis in R. This
 extension provides an additional level of abstraction to the 'multiverse'
 package with the aim of creating user friendly syntax to researchers,
 educators, and students in statistics.  The 'mverse' syntax is designed to
 allow piping and takes hints from the 'tidyverse' grammar. The package
 allows users to define and inspect multiverse analysis using familiar syntax
 in R.

Package: r-cran-mvet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mvet_0.1.0-1.ca2004.1_all.deb
Size: 91104
MD5sum: 042164711b5fa2a72553b56b2ea55355
SHA1: 8ad10924baae006dbc43f45b4372757ad75a1e50
SHA256: b4daa40f802cbdca43f07c5b1d0b4e77dd5b91a2248cce81ceac4e531fe80c28
SHA512: 8dc79f4e50ad72aed4216c1ee5920df70b20cd34ca065764d37de25ed59d89f24483d93d4ad5fa91dd6a2dd8b33d7ccc53f67df36d6d9725513067f710a83497
Homepage: https://cran.r-project.org/package=MVET
Description: CRAN Package 'MVET' (Multivariate Estimates and Tests)
 Multivariate estimation and testing, currently a package for testing
 parametric data. To deal with parametric data, various multivariate
 normality tests and outlier detection are performed and visualized using the
 'ggplot2' package. Homogeneity tests for covariance matrices are also
 possible, as well as the Hotelling's T-square test and the multivariate
 analysis of variance test. We are exploring additional tests and
 visualization techniques, such as profile analysis and randomized complete
 block design, to be made available in the future and making them easily
 accessible to users.

Package: r-cran-mvglmmrank
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-numderiv, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mvglmmrank_1.2-4-1.ca2004.1_all.deb
Size: 415012
MD5sum: 15120646b49600d878cef46a9c32c74c
SHA1: 874e0f97055ebafe951b361a51e1b7f037f5605b
SHA256: 5ea63b42c62f649ce2e378a6ec876603a275d847440cb69bfab887ed89902e0a
SHA512: 869be8e63a1aa90c555596a95935d1f169d1e21965fa3909a5055da6f32d1be917a2fdd6ed580bd93c8c321048e94d84922a02a75a2a6ba0a886de30ef28bac3
Homepage: https://cran.r-project.org/package=mvglmmRank
Description: CRAN Package 'mvglmmRank' (Multivariate Generalized Linear Mixed Models for Ranking SportsTeams)
 Maximum likelihood estimates are obtained via an EM algorithm with either a
 first-order or a fully exponential Laplace approximation as documented by
 Broatch and Karl (2018) <doi:10.48550/arXiv.1710.05284>, Karl, Yang, and
 Lohr (2014) <doi:10.1016/j.csda.2013.11.019>, and by Karl (2012)
 <doi:10.1515/1559-0410.1471>. Karl and Zimmerman
 <doi:10.1016/j.jspi.2020.06.004> use this package to illustrate how the home
 field effect estimator from a mixed model can be biased under nonrandom
 scheduling.

Package: r-cran-mvgps
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-mass, r-cran-weightit, r-cran-cobalt, r-cran-matrixnormal, r-cran-geometry, r-cran-sp, r-cran-gbm, r-cran-cbps
Suggests: r-cran-testthat, r-cran-knitr, r-cran-dagitty, r-cran-ggdag, r-cran-dplyr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-mvgps_1.2.2-1.ca2004.1_all.deb
Size: 126664
MD5sum: 597eeec5b38e5ea6f99384bb28acb9f9
SHA1: ae6c4fa00920ba5b7c502e4824555ca47452eede
SHA256: c070a803bf39a3bf940d12bb53d0b847b413dc778b98b30d6dbd2be5f5badbc4
SHA512: 17f7e3c7dadf8f8b157191fbe9d86c8c6e44273fbad54a0c2b6ad413915d33c5e44bf35e1c1673ebd834ce07cef30576cd7753b78f565a15c42b1a3d8257bd0c
Homepage: https://cran.r-project.org/package=mvGPS
Description: CRAN Package 'mvGPS' (Causal Inference using Multivariate Generalized Propensity Score)
 Methods for estimating and utilizing the multivariate generalized propensity
 score (mvGPS) for multiple continuous exposures described in Williams, J.R,
 and Crespi, C.M. (2020) <arxiv:2008.13767>. The methods allow estimation of
 a dose-response surface relating the joint distribution of multiple
 continuous exposure variables to an outcome. Weights are constructed
 assuming a multivariate normal density for the marginal and conditional
 distribution of exposures given a set of confounders. Confounders can be
 different for different exposure variables. The weights are designed to
 achieve balance across all exposure dimensions and can be used to estimate
 dose-response surfaces.

Package: r-cran-mvhist
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgl, r-cran-mvmesh, r-cran-simplicialcubature, r-cran-rcdd
Filename: pool/dists/focal/main/r-cran-mvhist_1.1-1.ca2004.1_all.deb
Size: 64436
MD5sum: b899842c1d9b610c7ff4d69f5897e16d
SHA1: 054259cbb249bd2004c618d5e0a1614cf79a74c3
SHA256: 19e89450906c2e4d6fb08047fed1c7f5d89086d78fee2646efdfd0f6315dd493
SHA512: 0a4dd67fabc8ca8e842eb9354f2aad097275ccb27eabb459c42af7367902fcb83401509135f17d6557d42159188ae1a9bed6eb96f6bf82174fd5173dfceccfdd
Homepage: https://cran.r-project.org/package=mvhist
Description: CRAN Package 'mvhist' (Multivariate Histograms)
 Tabulate and plot directional and other multivariate histograms.

Package: r-cran-mvhtests
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-emplik, r-cran-foreach, r-cran-rfast, r-cran-rfast2
Suggests: r-cran-highd2means
Filename: pool/dists/focal/main/r-cran-mvhtests_1.1-1.ca2004.1_all.deb
Size: 126060
MD5sum: a8daeeb6e776d969a3ec31952dcdc93b
SHA1: db549fc32558f0553b9de03c34cf2461ef66f9be
SHA256: 4858986d2d3c529d7c21530dc858aaed6a57714b2c3f6bca53d267748b38578d
SHA512: a4a865fdb388cb352c0a1c993d58866cd742f0956229c863c97af03a49f3e5923783516e8132a488f9450903b4a3830aa6443d11024550aa0f8f5298f9d7c5f3
Homepage: https://cran.r-project.org/package=mvhtests
Description: CRAN Package 'mvhtests' (Multivariate Hypothesis Tests)
 Hypothesis tests for multivariate data. Tests for one and two mean vectors,
 multivariate analysis of variance, tests for one, two or more covariance
 matrices. References include: Mardia K.V., Kent J.T. and Bibby J.M. (1979).
 Multivariate Analysis. ISBN: 978-0124712522. London: Academic Press.

Package: r-cran-mvinfluence
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 738
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-heplots
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tibble, r-cran-patchwork, r-cran-rgl, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-mvinfluence_0.9.0-1.ca2004.1_all.deb
Size: 329660
MD5sum: afda23a5189ae510bd619210b80a70b4
SHA1: 31f40663d810e970511e2a1c6dd433a453eddc2b
SHA256: 4a165a6cba05883f755fc672579151f93572911756ca0c3e529b76bc667cf8ab
SHA512: 5839fd06e78d838b39e2ea4d6d558aa5c1d0dc2c0084eb8981f7629a65cab918c17002a79936e34c6c6428006c9e128be5f88ad2eeeacad6fa06fbe4fa566489
Homepage: https://cran.r-project.org/package=mvinfluence
Description: CRAN Package 'mvinfluence' (Influence Measures and Diagnostic Plots for Multivariate LinearModels)
 Computes regression deletion diagnostics for multivariate linear models and
 provides some associated diagnostic plots.  The diagnostic measures include
 hat-values (leverages), generalized Cook's distance, and generalized squared
 'studentized' residuals.  Several types of plots to detect influential
 observations are provided.

Package: r-cran-mvisage
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1867
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mvisage_0.2.1-1.ca2004.1_all.deb
Size: 1722400
MD5sum: 7ab53bfe5482f0179d3f9292cfdecce5
SHA1: ee0c17f36150c319cea8c5df61445ab8e74d0621
SHA256: c572690522c3cda4d494750a97ccbad592365301728633a05e05865555561519
SHA512: 088e225dc40bf50b139c4595727e86eeea7945a0382d058747afb44e9911d1da9f045850f456f67c528ace5b472cecc75d6bf098091a8f4db450a058baa1c0d7
Homepage: https://cran.r-project.org/package=MVisAGe
Description: CRAN Package 'MVisAGe' (Compute and Visualize Bivariate Associations)
 Pearson and Spearman correlation coefficients are commonly used to quantify
 the strength of bivariate associations of genomic variables.  For example,
 correlations of gene-level DNA copy number and gene expression measurements
 may be used to assess the impact of DNA copy number changes on gene
 expression in tumor tissue.  'MVisAGe' enables users to quickly compute and
 visualize the correlations in order to assess the effect of regional genomic
 events such as changes in DNA copy number or DNA methylation level.  Please
 see Walter V, Du Y, Danilova L, Hayward MC, Hayes DN, 2018. Cancer Research
 <doi:10.1158/0008-5472.CAN-17-3464>.

Package: r-cran-mvlm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mvlm_0.1.4-1.ca2004.1_all.deb
Size: 117408
MD5sum: 8a671810be7f9cffb88f783a35e6bf47
SHA1: d7433d4b5dc219304e57e3e3e1e4e5c96909dbea
SHA256: 038e0f2407132453690042485775580f93c63679e9fc7d66fa2c3e09e0331182
SHA512: b628c17653fa381d989bdce2bbb02375aed417ddd82c2f713195dac60544c73b535a2d557a5d5e714c24e8942ef53478a8f69ec8be5fdc5c090c72464ab9c2fd
Homepage: https://cran.r-project.org/package=MVLM
Description: CRAN Package 'MVLM' (Multivariate Linear Model with Analytic p-Values)
 Allows a user to conduct multivariate multiple regression using analytic
 p-values rather than classic approximate F-tests.

Package: r-cran-mvlswimpute
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-wavethresh, r-cran-mvlsw, r-cran-binhf, r-cran-xts, r-cran-zoo, r-cran-imputets
Filename: pool/dists/focal/main/r-cran-mvlswimpute_0.1.1-1.ca2004.1_all.deb
Size: 62376
MD5sum: 26c45910c9c1e48e2169647995891f11
SHA1: d95ff4897d5e741c7693a865ace5f3809a7c5cf4
SHA256: fc9525f46e60c07bdf5b8e76db8ecc272cae757a29b2ca1e0db680a362a3ede5
SHA512: 6b99ec188bbe7e0293dc5a7cff56f3b13634ffc4176274633c16471751be8efe88790fe1fea3286687c90ce462116cad2d9ff84efe2075fd51f9a01258ff8ebe
Homepage: https://cran.r-project.org/package=mvLSWimpute
Description: CRAN Package 'mvLSWimpute' (Imputation Methods for Multivariate Locally Stationary TimeSeries)
 Implementation of imputation techniques based on locally stationary wavelet
 time series forecasting methods from Wilson, R. E. et al. (2021)
 <doi:10.1007/s11222-021-09998-2>.

Package: r-cran-mvmesh
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcdd, r-cran-rgl, r-cran-geometry, r-cran-abind, r-cran-simplicialcubature
Filename: pool/dists/focal/main/r-cran-mvmesh_1.6-1.ca2004.1_all.deb
Size: 163828
MD5sum: a22763fe9237e253de61792e3818d758
SHA1: 3fbbb72dc398f1fb3dd8006c0623bfad87523108
SHA256: 138dac7048c5f794419c22c97d0968f61d9aa546b7ffe19bf3303545fcdd2354
SHA512: 1932c01ae7da4ddc5d123486dc95d086ceb5be719daf88239551725e454551bc93311753c6960b6a6edcd2a4267847e28cdb6d2c99e83fa35c3265dfae3b63ca
Homepage: https://cran.r-project.org/package=mvmesh
Description: CRAN Package 'mvmesh' (Multivariate Meshes and Histograms in Arbitrary Dimensions)
 Define, manipulate and plot meshes on simplices, spheres, balls, rectangles
 and tubes.  Directional and other multivariate histograms are provided.

Package: r-cran-mvmeta
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mixmeta
Suggests: r-cran-metafor, r-cran-meta, r-cran-rmeta, r-cran-nlme, r-cran-mass, r-cran-dlnm
Filename: pool/dists/focal/main/r-cran-mvmeta_1.0.3-1.ca2004.1_all.deb
Size: 287784
MD5sum: a5f1176f03418f4af7cc480126f27269
SHA1: b06812370effad1859f4dd25b7d70e95990a935e
SHA256: 039b77ece3b3905b740e35eb7a7da52898cb28769e16148107abd35673b74128
SHA512: 0f8f7a1b9cb8bb2d0188dc9c702ab97685fc66f57536505841b266bbcb7968d8a400c21cb3732c9a3280ec444be4a4fd881f2af7b963697a223facc4d8bd0198
Homepage: https://cran.r-project.org/package=mvmeta
Description: CRAN Package 'mvmeta' (Multivariate and Univariate Meta-Analysis and Meta-Regression)
 Collection of functions to perform fixed and random-effects multivariate and
 univariate meta-analysis and meta-regression.

Package: r-cran-mvmise
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mvmise_1.0-1.ca2004.1_all.deb
Size: 67388
MD5sum: b760a0cc5287806042c5dc8adc7d4017
SHA1: f26de1e03d9209ab6c964a0536e428769ac306b4
SHA256: 2530e783e4678f6b97232cf64995294178ab5272ab262cfb9b0c7b22a2083ccc
SHA512: 6516c8b436c45f59c31deb61bb2edd6b26c05c9d0e234cdc2cf850b2cbf0c1060eb38d4a84e7bdfb3cad89289edbb14a1f95b0ff92dde8ed64253e6cd805525b
Homepage: https://cran.r-project.org/package=mvMISE
Description: CRAN Package 'mvMISE' (A General Framework of Multivariate Mixed-Effects SelectionModels)
 Offers a general framework of multivariate mixed-effects models for the
 joint analysis of multiple correlated outcomes with clustered data
 structures and potential missingness proposed by Wang et al. (2018)
 <doi:10.1093/biostatistics/kxy022>. The missingness of outcome values may
 depend on the values themselves (missing not at random and non-ignorable),
 or may depend on only the covariates (missing at random and ignorable), or
 both.  This package provides functions for two models: 1) mvMISE_b() allows
 correlated outcome-specific random intercepts with a factor-analytic
 structure, and 2) mvMISE_e() allows the correlated outcome-specific error
 terms with a graphical lasso penalty on the error precision matrix. Both
 functions are motivated by the multivariate data analysis on data with
 clustered structures from labelling-based quantitative proteomic studies.
 These models and functions can also be applied to univariate and
 multivariate analyses of clustered data with balanced or unbalanced design
 and no missingness.

Package: r-cran-mvmonitoring
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4603
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-lazyeval, r-cran-plyr, r-cran-rlang, r-cran-xts, r-cran-zoo, r-cran-robustbase
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mvmonitoring_0.2.4-1.ca2004.1_all.deb
Size: 2603664
MD5sum: 2a247abc4206d1ec74d6c6c9a08a9f8e
SHA1: ae51f94398caa069907a241c641aa3d7b24ca0aa
SHA256: e4c4850b9c0833737ab13c7fe80c85541b07a1026c988d8787be852a3ede387b
SHA512: 41fde3e3664d7def1cf58b843829c87bcd037cf41bc55bb1cee2cbcad9f34845649db97c1c66d34457265cbf1ddbf12d502c57c99853e4c4a86874def4c7ac55
Homepage: https://cran.r-project.org/package=mvMonitoring
Description: CRAN Package 'mvMonitoring' (Multi-State Adaptive Dynamic Principal Component Analysis forMultivariate Process Monitoring)
 Use multi-state splitting to apply Adaptive-Dynamic PCA (ADPCA) to data
 generated from a continuous-time multivariate industrial or natural process.
 Employ PCA-based dimension reduction to extract linear combinations of
 relevant features, reducing computational burdens. For a description of
 ADPCA, see <doi:10.1007/s00477-016-1246-2>, the 2016 paper from Kazor et al.
 The multi-state application of ADPCA is from a manuscript under current
 revision entitled "Multi-State Multivariate Statistical Process Control" by
 Odom, Newhart, Cath, and Hering, and is expected to appear in Q1 of 2018.

Package: r-cran-mvn
Architecture: all
Version: 6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nortest, r-cran-moments, r-cran-mass, r-cran-boot, r-cran-car, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-ggplot2, r-cran-viridis, r-cran-cli, r-cran-energy, r-cran-plotly, r-cran-mice
Filename: pool/dists/focal/main/r-cran-mvn_6.1-1.ca2004.1_all.deb
Size: 237536
MD5sum: 9d2adac8decfd5916e05750551d7af7d
SHA1: 6dd4c9ecd1ec1d3f6f07fefb9a267af2dd10428b
SHA256: 514c62f67fad40da20bcf6dfa4f4fb56643814d8a078c9a0272b28ed983a7916
SHA512: 5e045f9d134da39470b22c76d6ada26702dec15325cd195250fa8a2f3b83407aa6bfa0d08f97edbf3d0047f07ed169b0374fc28d916a40c65efd88c620486279
Homepage: https://cran.r-project.org/package=MVN
Description: CRAN Package 'MVN' (Multivariate Normality Tests)
 A comprehensive suite for assessing multivariate normality using six
 statistical tests (Mardia, Henze–Zirkler, Henze–Wagner, Royston,
 Doornik–Hansen, Energy).  Also includes univariate diagnostics, bivariate
 density visualization, robust outlier detection, power transformations
 (e.g., Box–Cox, Yeo–Johnson), and imputation strategies ("mean", "median",
 "mice") for handling missing data. Bootstrap resampling is supported for
 selected tests to improve p-value accuracy in small samples.  Diagnostic
 plots are available via both 'ggplot2' and interactive 'plotly'
 visualizations. See Korkmaz et al. (2014)
 <https://journal.r-project.org/archive/2014-2/korkmaz-goksuluk-zararsiz.pdf>.

Package: r-cran-mvnbayesian
Architecture: all
Version: 0.0.8-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-plyr
Suggests: r-cran-rgl, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-mvnbayesian_0.0.8-11-1.ca2004.1_all.deb
Size: 67152
MD5sum: 51525b3a290fcf2828074f145c5d8695
SHA1: 34e5e1bc28e1ce2766f5e210af73d8d98c17e070
SHA256: 6b00b0f64789664d25e866d3cbf975996cee9a1ba450e78bb49515244d6573cd
SHA512: bd3767b235750807234d300b1bcd1d044c7a2c6f9efcb70346eb8e9029fe86300de5331de15dfed8429d57e3b5b43b01bbe0f3decbc86d38e7c21a91ad92a799
Homepage: https://cran.r-project.org/package=MVNBayesian
Description: CRAN Package 'MVNBayesian' (Bayesian Analysis Framework for MVN (Mixture) Distribution)
 Tools of Bayesian analysis framework using the method suggested by Berger
 (1985) <doi:10.1007/978-1-4757-4286-2> for multivariate normal (MVN)
 distribution and multivariate normal mixture (MixMVN) distribution: a)
 calculating Bayesian posteriori of (Mix)MVN distribution; b) generating
 random vectors of (Mix)MVN distribution; c) Markov chain Monte Carlo (MCMC)
 for (Mix)MVN distribution.

Package: r-cran-mvnggrad
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvnggrad_0.1.6-1.ca2004.1_all.deb
Size: 411768
MD5sum: 6129cf1a5419e8eaab990010f3df5ad7
SHA1: 609d87a7d037e2d0d79b38eb88037fa0385e742c
SHA256: 01a4a43613a32e955d1146650775742ac94bda759a6f93da24b7756278f3d758
SHA512: 62edb5cd92312b7126c51e1bdba0c2a6da4e16d2cbda4d3bf0d16e415ffa553d5f02fb71bd18cd5cba89a808fa25856418ece7e9e24ec298ed3bc9716fe6493c
Homepage: https://cran.r-project.org/package=mvngGrAd
Description: CRAN Package 'mvngGrAd' (Moving Grid Adjustment in Plant Breeding Field Trials)
 Package for moving grid adjustment in plant breeding field trials.

Package: r-cran-mvnormaltest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nortest, r-cran-moments, r-cran-copula
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mvnormaltest_1.0.1-1.ca2004.1_all.deb
Size: 123108
MD5sum: b1c06d34a5c24e2d6942a632b29d33c5
SHA1: 6b0f6b263acc9190d6414880bd78f98168774379
SHA256: 85a4ecd0fe14799c2bebef1235e896305dee7fe423ee07bd1c4ff23fbf6ae67f
SHA512: cea26fc48f72e8cd142c6dc62c6a4272ca3977827a717d7ca3250d9f0f66673727212d8676f979ddce56dcfd02d0affde841eb92505bd909b13f88e5e8c7be4b
Homepage: https://cran.r-project.org/package=mvnormalTest
Description: CRAN Package 'mvnormalTest' (Powerful Tests for Multivariate Normality)
 A simple informative powerful test (mvnTest()) for multivariate normality
 proposed by Zhou and Shao (2014) <doi:10.1080/02664763.2013.839637>, which
 combines kurtosis with Shapiro-Wilk test that is easy for biomedical
 researchers to understand and easy to implement in all dimensions. This
 package also contains some other multivariate normality tests including
 Fattorini's FA test (faTest()), Mardia's skewness and kurtosis test
 (mardia()), Henze-Zirkler's test (mhz()), Bowman and Shenton's test (msk()),
 Royston’s H test (msw()), and Villasenor-Alva and Gonzalez-Estrada's test
 (msw()). Empirical power calculation functions for these tests are also
 provided. In addition, this package includes some functions to generate
 several types of multivariate distributions mentioned in Zhou and Shao
 (2014).

Package: r-cran-mvnormtest
Architecture: all
Version: 0.1-9-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvnormtest_0.1-9-3-1.ca2004.1_all.deb
Size: 21432
MD5sum: b611383108856aa04f263100041d687c
SHA1: d3075336eec4b4fbb166f85c53eae46e0219df9b
SHA256: cb115c6b1a9f7ec4265b9bb5a2e37e5cf98654d2882beec49f1ba6c19f5f48ce
SHA512: 47375377a352b607f449704342ca708a514b2b2be307f5d037c5609df080cdf0c2004d342c2711906ba477e1315d7aba6ea1afc08bae46ebd6d2239fa4ed4c36
Homepage: https://cran.r-project.org/package=mvnormtest
Description: CRAN Package 'mvnormtest' (Normality Test for Multivariate Variables)
 Generalization of Shapiro-Wilk test for multivariate variables.

Package: r-cran-mvnpermute
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvnpermute_1.0.1-1.ca2004.1_all.deb
Size: 12736
MD5sum: c9c869fec334f44875e2fdece379ac9d
SHA1: 27fca33d0b38236365e72db7ec7d3c0e773d6154
SHA256: 2a7c264fbfe8ddc291d279425b685d5b9b6411d4f7d5e5a63c2c61ddbc959910
SHA512: cb7161ee336cab4293de358f4f2a2df7709418fbb0cbbfbb254cffa855567d598129237815dc21b74516a219570856619378dd89662fab1dacd4283422b028b6
Homepage: https://cran.r-project.org/package=mvnpermute
Description: CRAN Package 'mvnpermute' (Generate New Multivariate Normal Samples from Permutations)
 Given a vector of multivariate normal data, a matrix of covariates and the
 data covariance matrix, generate new multivariate normal samples that have
 the same covariance matrix based on permutations of the transformed data
 residuals.

Package: r-cran-mvntest
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mvntest_1.1-0-1.ca2004.1_all.deb
Size: 182580
MD5sum: bd18484f4b873f1706ab848b1bdb9b3b
SHA1: 8f3ff586af835a00ff1efb51fd343ed06cc8bb74
SHA256: 87ff48cc6cbb57f5aa5ed8ad1d6ac884f929d4d571b07ab958542081f977e5f3
SHA512: 17b29badcf8ed97b0f4b6bb5337d5890c9e310e7323a984ca156e507a2f87b65730ee3f994ff7b4ae95351fd5a54925c0719589cfcd06d148a9b89fbd25bd261
Homepage: https://cran.r-project.org/package=mvnTest
Description: CRAN Package 'mvnTest' (Goodness of Fit Tests for Multivariate Normality)
 Routines for assessing multivariate normality. Implements three Wald's type
 chi-squared tests; non-parametric Anderson-Darling and Cramer-von Mises
 tests; Doornik-Hansen test, Royston test and Henze-Zirkler test.

Package: r-cran-mvntestchar
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-knitr, r-cran-ggplot2
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-mvntestchar_1.1.3-1.ca2004.1_all.deb
Size: 534984
MD5sum: 6133f5f8e179601ce5b474694ade5ecc
SHA1: 781470bea7a49ed17562d3151bf5e8638789bacc
SHA256: 570f2e4d4921187b432c0d2980ea44f0bef470d2a0a1ff38d7e17d8425690ab3
SHA512: 48d1ccf5d8dc760f42ef39eee43b154c74807c8b3d072c9782685f5ebc53c6d5fa838452c0f2717dd8e44c621fef13347dc58cf1f840bf446f59f23eceeddf3e
Homepage: https://cran.r-project.org/package=MVNtestchar
Description: CRAN Package 'MVNtestchar' (Test for Multivariate Normal Distribution Based on aCharacterization)
 Provides a test of multivariate normality of an unknown sample that does not
 require estimation of the nuisance parameters, the mean and covariance
 matrix.  Rather, a sequence of transformations removes these nuisance
 parameters and results in a set of sample matrices that are positive
 definite.  These matrices are uniformly distributed on the space of positive
 definite matrices in the unit hyper-rectangle if and only if the original
 data is multivariate normal (Fairweather, 1973, Doctoral dissertation,
 University of Washington). The package performs a goodness of fit test of
 this hypothesis. In addition to the test, functions in the package give
 visualizations of the support region of positive definite matrices for
 bivariate samples.

Package: r-cran-mvopr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncvreg, r-cran-rrpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mvopr_2.0.0-1.ca2004.1_all.deb
Size: 23256
MD5sum: 6e0962057358bfda1b290b16ac9676f4
SHA1: e9b73c796c23d6ddcc95263c41186bf2345df5ca
SHA256: af2757f721e9c845b3a3168cf43deb37b5920cd908b66b9f77e656f6940c639f
SHA512: d7e4aa194f158003cb8162531afb8fec4226e13825d64b5173974e9ff4f5cd9ad46528539ceeb10c50728b4a77a9c8300fcbe978f41ce69eac22af287b04db84
Homepage: https://cran.r-project.org/package=MVOPR
Description: CRAN Package 'MVOPR' (Multi-View Orthogonal Projection Regression for Multi-ModalityIntegration)
 Implements the 'MVOPR' (Multi-View Orthogonal Projection Regression) method
 for robust variable selection and integration of multi-modality data.

Package: r-cran-mvout
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-mvout_1.2-1.ca2004.1_all.deb
Size: 77488
MD5sum: d7e9ee87d7ca49f0d68a1dcb129f1c62
SHA1: e5248e0c566792a89e57382ea211c9f8b67c7598
SHA256: a1d754205a4ae430fab377fd1584e45d241ebd7c4cbcbcc45b7a8c61e8b11583
SHA512: 9cda896201893b7a64d950dea4aab1e02d5bc19ba2c0cd0eeded1496f8ad34b72f20666ac16ac27c54f785e2535fe304e3dee9a2ea8fd3ab808296092c3fad1e
Homepage: https://cran.r-project.org/package=mvout
Description: CRAN Package 'mvout' (Robust Multivariate Outlier Detection)
 Detection of multivariate outliers using robust estimates of location and
 scale. The Minimum Covariance Determinant (MCD) estimator is used to
 calculate robust estimates of the mean vector and covariance matrix.
 Outliers are determined based on robust Mahalanobis distances using either
 an unstructured covariance matrix, a principal components structured
 covariance matrix, or a factor analysis structured covariance matrix.
 Includes options for specifying the direction of interest for outlier
 detection for each variable.

Package: r-cran-mvoutlier
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 885
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sgeostat, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-mvoutlier_2.1.1-1.ca2004.1_all.deb
Size: 804740
MD5sum: 5435989fc845674c24bd0cc02238e388
SHA1: 657c598a9167ff556b574cc6ad02c5085815cb52
SHA256: 37a9f6082d95a412ca49b27886afe23088adcc013b1ad6d50590f7b50c216afd
SHA512: d68bc450230b76a0dfdbb8b46a6271f84a76b4f71c940813ebbbc54a59c94afe15fb612fe6503c040bd76057e8cc08d1d92bc5f5e38853e98054faf2c19e4574
Homepage: https://cran.r-project.org/package=mvoutlier
Description: CRAN Package 'mvoutlier' (Multivariate Outlier Detection Based on Robust Methods)
 Various methods for multivariate outlier detection: arw, a Mahalanobis-type
 method with an adaptive outlier cutoff value; locout, a method incorporating
 local neighborhood; pcout, a method for high-dimensional data;
 mvoutlier.CoDa, a method for compositional data. References are provided in
 the corresponding help files.

Package: r-cran-mvpbt
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-metafor, r-cran-mada, r-cran-mvmeta
Filename: pool/dists/focal/main/r-cran-mvpbt_1.2-1-1.ca2004.1_all.deb
Size: 40860
MD5sum: 852ead79089822e199d69160da62dacc
SHA1: 1daeb5b3f767ce77061d28d684433d64071a3e74
SHA256: 28080c922f2956810a481489febb0024d9e12cfbd6ecc4d409dd10d851d546fa
SHA512: 6d1877e1149df554ba5c64dc17d6bae58363183a405a8a91c19d58ee59765dc7c28591986ab2c3c227215deed4ab3fd012ede383dfde17b55183648cc442d3c1
Homepage: https://cran.r-project.org/package=MVPBT
Description: CRAN Package 'MVPBT' (Publication Bias Tests for Meta-Analysis of Diagnostic AccuracyTest)
 Generalized Egger tests for detecting publication bias in meta-analysis for
 diagnostic accuracy test (Noma (2020) <doi:10.1111/biom.13343>, Noma (2022)
 <doi:10.48550/arXiv.2209.07270>). These publication bias tests are generally
 more powerful compared with the conventional univariate publication bias
 tests and can incorporate correlation information between the outcome
 variables.

Package: r-cran-mvpd
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixstats, r-cran-stabledist, r-cran-libstable4u, r-cran-mvtnorm, r-cran-cubature, r-cran-matrix
Suggests: r-cran-scales, r-cran-vgamextra, r-cran-expint, r-cran-invgamma, r-cran-lnpar, r-cran-rgl, r-cran-uniformly, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mvpd_0.0.5-1.ca2004.1_all.deb
Size: 110972
MD5sum: 0bfd7b8e4d7026f465a52f76a442531b
SHA1: e85c25114b73e6ff176bda71cafe8a1fe086561d
SHA256: f6a03a719c7f9df668f414f6013fb9584f9c0816d9f9bece8b18479e48ac8ddf
SHA512: 1ee4068880da8669a966075b1fd62d62f39cd48cb82ea53f22bc61f4b6eb76053ceca86ef5add8ff5244cbcd13338adf4b94e74d0426da57a7033a5e322ed135
Homepage: https://cran.r-project.org/package=mvpd
Description: CRAN Package 'mvpd' (Multivariate Product Distributions for Elliptically ContouredDistributions)
 Estimates multivariate subgaussian stable densities and probabilities as
 well as generates random variates using product distribution theory.  A
 function for estimating the parameters from data to fit a distribution to
 data is also provided, using the method from Nolan (2013)
 <doi:10.1007/s00180-013-0396-7>.

Package: r-cran-mvprobit
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-maxlik, r-cran-bayesm, r-cran-misctools
Filename: pool/dists/focal/main/r-cran-mvprobit_0.1-10-1.ca2004.1_all.deb
Size: 96536
MD5sum: 15344bfc7f7c5614c8d1f3e2d8d073d5
SHA1: e9e5221b554e28247e1def4993710d9cd4687f8f
SHA256: 31054c7b5b513276bc7ff16ab618a958022c5d1f147f8c5a1e19b14eff0fcbe5
SHA512: 6428da6f6a2508645208c940ab837de016416a2c4e892371a7ac86adf3a6b9060923b7670d77693d6756aa8d4222fa4ee10ef5c269c39e314343cf2c329541fa
Homepage: https://cran.r-project.org/package=mvProbit
Description: CRAN Package 'mvProbit' (Multivariate Probit Models)
 Tools for estimating multivariate probit models, calculating conditional and
 unconditional expectations, and calculating marginal effects on conditional
 and unconditional expectations.

Package: r-cran-mvprpb
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvprpb_1.0.4-1.ca2004.1_all.deb
Size: 21816
MD5sum: 3b0b1b48814315d3348702d08c4d26de
SHA1: a7c6d7297588780f8cb089e2422874df7150980b
SHA256: b26da5e93b8d11d9875b6627944063f61995807b2f87158059fecea03cf81eca
SHA512: 16390ca3d8f18fd36bfc7c3f1d71e6e49a6082d6068b205cf13212c8062ca2ac3b40cde509fae5956af2fee42e4515e5693e0106527e2daef39e19d48d093538
Homepage: https://cran.r-project.org/package=mvprpb
Description: CRAN Package 'mvprpb' (Orthant Probability of the Multivariate Normal Distribution)
 Computes orthant probabilities multivariate normal distribution.

Package: r-cran-mvquad
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-statmod
Suggests: r-cran-knitr, r-cran-rgl, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mvquad_1.0-8-1.ca2004.1_all.deb
Size: 316140
MD5sum: 0278329fad909347e43a8e1b8097bc65
SHA1: 2f389bdeeeaff7fce61b68164846a7b92723a1f9
SHA256: 12451b5fe1e3a6d596dcae6a893a93eeb05bdb8b48ea1e7b470334f74ad76af2
SHA512: 3390a3047e03d4ce90d89cfd0eee3ba174397d577f4cf6e97ff92ef62e08ceccdf2b576d373a64d3ce9eaba85864e3976bfb2a89dbc95368c71bfb8c1dcae70c
Homepage: https://cran.r-project.org/package=mvQuad
Description: CRAN Package 'mvQuad' (Methods for Multivariate Quadrature)
 Provides methods to construct multivariate grids, which can be used for
 multivariate quadrature. This grids can be based on different quadrature
 rules like Newton-Cotes formulas (trapezoidal-, Simpson's- rule, ...) or
 Gauss quadrature (Gauss-Hermite, Gauss-Legendre, ...). For the construction
 of the multidimensional grid the product-rule or the combination- technique
 can be applied.

Package: r-cran-mvquickgraphs
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-mvquickgraphs_0.1.2-1.ca2004.1_all.deb
Size: 29896
MD5sum: e52b53c32e136e513d82b565cb035bb7
SHA1: 3a7acfca5b7063df6b8fd83505f3850a317498b2
SHA256: 93a12b2ff933e8cbdaebcef747a863955059ecf70db3b68e30ef97223a81930c
SHA512: ab75e78ab6e4d276e670d55fc29a47f6c69b24fcffeefee60b53468b107e20e3e202480db5703f48bf6426ba3377397fd78e635d2014bd2ed191652c04617a7c
Homepage: https://cran.r-project.org/package=MVQuickGraphs
Description: CRAN Package 'MVQuickGraphs' (Quick Multivariate Graphs)
 Functions used for graphing in multivariate contexts. These functions are
 designed to support produce reasonable graphs with minimal input of graphing
 parameters. The motivation for these functions was to support students
 learning multivariate concepts and R - there may be other functions and
 packages better-suited to practical data analysis. For details about the
 ellipse methods see Johnson and Wichern (2007, ISBN:9780131877153).

Package: r-cran-mvs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2961
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-randomforest, r-cran-foreach
Suggests: r-cran-testthat, r-cran-mice, r-cran-missforest, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-mvs_2.1.0-1.ca2004.1_all.deb
Size: 2024056
MD5sum: 981586f2d865fde837a473a5dcae2225
SHA1: 80c8f2484661e033f0db9f33b22599a164f25fbd
SHA256: 7ec01c3bf5c12f46ace7729cfd37894f0ba3bfc2b09d548de69499069ea62d27
SHA512: 0c91d61fe3e9a5e5bfa0656b198e1f6883364de2699777038715140b161dd68d367d479a3fdd17e135598058c6c793112a28c424e6437263b06b1494d24f130c
Homepage: https://cran.r-project.org/package=mvs
Description: CRAN Package 'mvs' (Methods for High-Dimensional Multi-View Learning)
 Methods for high-dimensional multi-view learning based on the multi-view
 stacking (MVS) framework.  For technical details on the MVS and stacked
 penalized logistic regression (StaPLR) methods see Van Loon, Fokkema, Szabo,
 & De Rooij (2020) <doi:10.1016/j.inffus.2020.03.007> and Van Loon et al.
 (2022) <doi:10.3389/fnins.2022.830630>.

Package: r-cran-mvshapirotest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mvshapirotest_1.0-1.ca2004.1_all.deb
Size: 16056
MD5sum: 572f72b99983d863fe19ca78e35f3396
SHA1: cca602f6e629777b1209ea4f68cc32331cd4dd8b
SHA256: 91035c0223b67beb7603e0663d5ac81e2955a172b21e684f9dd36351d000acef
SHA512: 0a9569a515a5cd4a333fc76afd4e3d86f06bc55de06130be2a5ab179b33f494181bc429d0f34f0c96797cddce9481c43fc7d7da01cc9d77ae6e5196c0ec9d4c7
Homepage: https://cran.r-project.org/package=mvShapiroTest
Description: CRAN Package 'mvShapiroTest' (Generalized Shapiro-Wilk test for multivariate normality)
 This package implements the generalization of the Shapiro-Wilk test for
 multivariate normality proposed by Villasenor-Alva and Gonzalez-Estrada
 (2009).

Package: r-cran-mvskmod
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bessel, r-cran-clustergeneration, r-cran-distributionutils, r-cran-matlib, r-cran-maxlik, r-cran-truncnorm, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-mvskmod_0.1.0-1.ca2004.1_all.deb
Size: 143356
MD5sum: 0baed707370207ffe7914779a7edcde5
SHA1: 841cc05bcbc753ec833280a989f9b2cf5cf6809d
SHA256: a070d6ccdd7d03808a6c7c303759124f1e32f250e62c16dfb8e3e6024619525b
SHA512: 5d0d3c4e82f1d22c30290e2b6b0069a77ed42c4d560ba660c79265ed7d9adf7c1a678dec5f012c65e831e38fc4567aba680376b351def74d93c4a22c5623468f
Homepage: https://cran.r-project.org/package=MVSKmod
Description: CRAN Package 'MVSKmod' (Matrix-Variate Skew Linear Regression Models)
 An implementation of the alternating expectation conditional maximization
 (AECM) algorithm for matrix-variate variance gamma (MVVG) and normal-inverse
 Gaussian (MVNIG) linear models. These models are designed for settings of
 multivariate analysis with clustered non-uniform observations and correlated
 responses. The package includes fitting and prediction functions for both
 models, and an example dataset from a periodontal on Gullah-speaking African
 Americans, with responses in gaad_res, and covariates in gaad_cov. For more
 details on the matrix-variate distributions used, see Gallaugher &
 McNicholas (2019) <doi:10.1016/j.spl.2018.08.012>.

Package: r-cran-mvslouch
Architecture: all
Version: 2.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2950
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-ape, r-cran-mvtnorm, r-cran-matrix, r-cran-ouch, r-cran-pcmbase, r-cran-matrixcalc
Suggests: r-cran-pcmbasecpp, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-mvmorph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mvslouch_2.7.6-1.ca2004.1_all.deb
Size: 2220488
MD5sum: 8acd6655e83e450272ea27f4c16d6d28
SHA1: 0f83a126c5c98f9fbaadf08d980b94e06efb62d8
SHA256: 76b2c8935064dd8e3b7a97a2cad755da296387f97739e06f5e17bbb48c5aad14
SHA512: 8de2be6841a3653f48ca58b61f671e9beb0dfe8fa11b1ecd33620da6c0819e4941310cee00d63543ea981cefdcbb3cd1d005bb604d3e1adbaef057aab2ef739e
Homepage: https://cran.r-project.org/package=mvSLOUCH
Description: CRAN Package 'mvSLOUCH' (Multivariate Stochastic Linear Ornstein-Uhlenbeck Models forPhylogenetic Comparative Hypotheses)
 Fits multivariate Ornstein-Uhlenbeck types of models to continues trait data
 from species related by a common evolutionary history. See K. Bartoszek, J,
 Pienaar, P. Mostad, S. Andersson, T. F. Hansen (2012)
 <doi:10.1016/j.jtbi.2012.08.005>. The suggested PCMBaseCpp package (which
 significantly speeds up the likelihood calculations) can be obtained from
 <https://github.com/venelin/PCMBaseCpp/>.

Package: r-cran-mvsusy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-rcppalgos, r-cran-ggplot2, r-cran-ggsci
Suggests: r-cran-plotly
Filename: pool/dists/focal/main/r-cran-mvsusy_0.1.0-1.ca2004.1_all.deb
Size: 44128
MD5sum: a67cdc4bb12b0ef957578231a92394c7
SHA1: bc0a88ea85cd97e5b8b36efd966f0a3c095a4441
SHA256: 76d967f0a024c34864c5c52f9575d03dc716541d4bb15b0bf4a7744882e2eca1
SHA512: dc59ecf6c0c025a6766e5f9fae9f25632fd8787258040a68998dd2f3de378180a05a93f9c548c03a955d359314c73f932add76423c50d7a99f34a1408f4db7cd
Homepage: https://cran.r-project.org/package=mvSUSY
Description: CRAN Package 'mvSUSY' (Multivariate Surrogate Synchrony)
 Multivariate Surrogate Synchrony ('mvSUSY') estimates the synchrony within
 datasets that contain more than two time series. 'mvSUSY' was developed from
 Surrogate Synchrony ('SUSY') with respect to implementing surrogate
 controls, and extends synchrony estimation to multivariate data. 'mvSUSY'
 works as described in Meier & Tschacher (2021).

Package: r-cran-mvtests
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rrcov, r-cran-mvtnorm, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-mvtests_2.2.2-1.ca2004.1_all.deb
Size: 70796
MD5sum: afe9e2857123bb2f87c5b28ad914a747
SHA1: db32f64d2d2499690864707b11f1dacfe5cc7d93
SHA256: 6f9de41ed0f8ba9e5181bd05a1f5930ab84350d2d5188a4b3c238188bd34c5e7
SHA512: 7dff8e981f01973d01ba6d2128b6bc8d1a76a6aeef2474493321bbc64affaf5ee17720521967f40f70b46e1569afe3ed99c8d426eebff05d7f1807909960b147
Homepage: https://cran.r-project.org/package=MVTests
Description: CRAN Package 'MVTests' (Multivariate Hypothesis Tests)
 Multivariate hypothesis tests and the confidence intervals. It can be used
 to test the hypothesizes about mean vector or vectors (one-sample, two
 independent samples, paired samples), covariance matrix (one or more
 matrices), and the correlation matrix. Moreover, it can be used for robust
 Hotelling T^2 test at one sample case in high dimensional data. For this
 package, we have benefited from the studies Rencher (2003), Nel and Merwe
 (1986) <DOI: 10.1080/03610928608829342>, Tatlidil (1996), Tsagris (2014),
 Villasenor Alva and Estrada (2009) <DOI: 10.1080/03610920802474465>.

Package: r-cran-mvtmeta
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-mvtmeta_1.1-1.ca2004.1_all.deb
Size: 21296
MD5sum: d08890f65835a9541f76c96754a69c5b
SHA1: c63f948c6b155de942571925198307f4dcf55a9f
SHA256: 30e71d65c296d512a871fe79ef3da873ece32aec79aac37daf7e5a0ac06b44ff
SHA512: fb897e25d874e041850414026aa51438f78dcdf50bb9fe781d62ebc90e8217889bec3defb8452604f40fee133fde994bab5b97a92e40f32e3f8f2ec4d4cf7c88
Homepage: https://cran.r-project.org/package=mvtmeta
Description: CRAN Package 'mvtmeta' (Multivariate Meta-Analysis)
 Functions to run fixed effects or random effects multivariate meta-analysis.

Package: r-cran-mvtsplot
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-mvtsplot_1.0-5-1.ca2004.1_all.deb
Size: 27180
MD5sum: ed9e3e609d5184be9e1449715b2f7350
SHA1: 51bb70a8c11f0e6eab34f3ecb091e36b1843ff68
SHA256: aec2fa7a771983ab7599a607859ffbd6022063369b2619b6ac4141e87fd636cf
SHA512: d6ea98fc02caeae7515cef26e0cf0f3e005562494b39598ede7202a84c564a8ad74b4ebe27fd19f4268e64ff05ab95019b335a3a586999aa164ec0606c2cfeb5
Homepage: https://cran.r-project.org/package=mvtsplot
Description: CRAN Package 'mvtsplot' (Multivariate Time Series Plot)
 A function for plotting multivariate time series data.

Package: r-cran-mvvg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mixmatrix, r-cran-nlme, r-cran-psych
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-mvvg_0.1.0-1.ca2004.1_all.deb
Size: 24712
MD5sum: 7a8b8f6aaa124e7bd1629ca1aa4a15b2
SHA1: 4ab426bf23976e20373242c482cc6c4c26da8d09
SHA256: 94c8d55c7128c4d4ff182d54de59a6199c8cde9b43e9db51f0be5d1696c1b99a
SHA512: 2541a41ead5e518e8deb214bd324956ca0810f9bfd9cabb8eb31eeae45056c2cf690cdd30d8047a254fed665b7203ec42092c301f77f205550968af27ce4561d
Homepage: https://cran.r-project.org/package=mvvg
Description: CRAN Package 'mvvg' (Matrix-Variate Variance-Gamma Distribution)
 Rudimentary functions for sampling and calculating density from the
 matrix-variate variance-gamma distribution.

Package: r-cran-mwa
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cem, r-cran-rjava, r-cran-mass
Filename: pool/dists/focal/main/r-cran-mwa_0.4.4-1.ca2004.1_all.deb
Size: 101880
MD5sum: 8491b8f7421bf43453a817ea14eefe8e
SHA1: b337b16d559d8038ad4e8743d9532d737228705c
SHA256: 09406876f20c9edf39f68b0801013c4ee21ed3bf8afcc2949164b90d0b168046
SHA512: cb769c2bd7a41537a9c4ce25a940652aa1ac81a487f03535d74e8d1b27ced6050587957f5285ea658809e134622012b0c3328ff9a0a7f98fd654f7f53a0cfb1f
Homepage: https://cran.r-project.org/package=mwa
Description: CRAN Package 'mwa' (Causal Inference in Spatiotemporal Event Data)
 Implementation of Matched Wake Analysis (mwa) for studying causal
 relationships in spatiotemporal event data, introduced by Schutte and Donnay
 (2014) <doi:10.1016/j.polgeo.2014.03.001>.

Package: r-cran-mwlasso
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-penalized
Filename: pool/dists/focal/main/r-cran-mwlasso_1.3.1-1.ca2004.1_all.deb
Size: 34220
MD5sum: 703d3cd7a2608698cabf916dda0e4e83
SHA1: 2739c731f5cb32e7f8413f26e18d85807f574a6b
SHA256: f2c8e971c87edf8f7ddab14091008a3762d40c4416653682ab197dd4c9ece810
SHA512: 22e546891200e51118faecce7def7b327c5e0956f97ec34552fb79b2e86a45b064ca3aa9d1074e18f04cc7fdcb764d1c29dd55570de2c4edd7e3eaeb168a4714
Homepage: https://cran.r-project.org/package=MWLasso
Description: CRAN Package 'MWLasso' (Penalized Moving-Window Lasso Method for Genome-Wide AssociationStudies)
 The Moving-Window Lasso (MWLasso) method for genome-wide association
 studies. A window scans the design matrix. For predictors in the same
 window, their coefficients estimates are smoothed.

Package: r-cran-mwlaxeref
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5041
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mwlaxeref_0.0.1-1.ca2004.1_all.deb
Size: 4316608
MD5sum: 5933d059ae2934906871cd4f09051bed
SHA1: d0ef1ec7344a0be1b66bd743e1d0ae670d308f6e
SHA256: 6539c28939f5c41625bac48daa5e538a67a2ec8ea6a4e932a004db4c035c99bb
SHA512: 4f6a354eb68ee49d8f6dc144260f95f61a89a5ace55ddfc78f181fa502475b1f1e9041c829fb6281bae85f4cb59f7f4e367b9d2aa97c2722804d6849ced7bac3
Homepage: https://cran.r-project.org/package=mwlaxeref
Description: CRAN Package 'mwlaxeref' (Cross-References Lake Identifiers Between Different Data Sets)
 Handy helper package for cross-referencing lake identifiers among different
 data sets in the Midwestern United States. There are multiple different
 state, regional, and federal agencies that have different identifiers on
 lakes. This package helps you to go between them.

Package: r-cran-mwridge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-mwridge_1.0.0-1.ca2004.1_all.deb
Size: 28552
MD5sum: 36a63eb9d52da45068ed0deae0badee6
SHA1: bf942d33856dee34d23cbe374a65a688e8eed325
SHA256: 3821ad7ad8deaa62f2cba2667f4099a18c00fcf610965a01ef2748bff24acbfa
SHA512: cd48106bf3928fe6678b6be23d1d7426bc9bd743430126efe0257a63771eb81d1f01ba44c5727efaf82ca79b8fbc0649e8b7297bb0ce6ab8eaf93536712106cb
Homepage: https://cran.r-project.org/package=MWRidge
Description: CRAN Package 'MWRidge' (Two Stage Moving-Window Ridge Method for Prediction andEstimation)
 A two stage moving-window Ridge method for coefficients estimation and model
 prediction. In the first stage, moving-window penalty and L1 penalty are
 applied. In the second stage, ridge regression is applied.

Package: r-cran-mwright
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-mwright_0.3.2-1.ca2004.1_all.deb
Size: 47760
MD5sum: 0653511a14243f2e298dbf0754696bb1
SHA1: cf2829939428a1c4d6b1f287ca65f23e680461c0
SHA256: 61e6482054b351ddf4f2cc76e3ceb0631479f6a5329610d7198cef7a43c1e68a
SHA512: 19325b372b3b368ed8c7496f0e536fd2a8aa0c20430f0e9ec7bbd4becd4db9269e7ce32a3874802218ddade19030a1dc0edce4fa47471ad93657a43ba33f7ca0
Homepage: https://cran.r-project.org/package=MWright
Description: CRAN Package 'MWright' (Mainardi-Wright Family of Distributions)
 Implements random number generation, plotting, and estimation algorithms for
 the two-parameter one-sided and two-sided M-Wright (Mainardi-Wright) family.
 The M-Wright distributions naturally generalize the widely used one-sided
 (Airy and half-normal or half-Gaussian) and symmetric (Airy and Gaussian or
 normal) models.  These are widely studied in time-fractional differential
 equations. References: Cahoy and Minkabo (2017) <doi:10.3233/MAS-170388>;
 Cahoy (2012) <doi:10.1007/s00180-011-0269-x>; Cahoy (2012)
 <doi:10.1080/03610926.2010.543299>; Cahoy (2011); Mainardi, Mura, and
 Pagnini (2010) <doi:10.1155/2010/104505>.

Package: r-cran-mwshiny
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-visnetwork, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-mwshiny_2.1.0-1.ca2004.1_all.deb
Size: 216524
MD5sum: d443d8e55b518f61d70b1e41092bbc1d
SHA1: c27047f3b9e487cc0c2a1c78c631bea136bd5b91
SHA256: ce90f2f8d122ab5fe07a2121c0bc49b751e91ae93e78d4a82d76cf33346f0e0f
SHA512: b61f9292bb046bb4e734468cff0df939c7dbfb0e9ffcd7b9ce8c40e87d0b48e15911c6b6b182c6c72df35399f84e00289f2dcf4b8f8b2b5375f09daf3b48f5a8
Homepage: https://cran.r-project.org/package=mwshiny
Description: CRAN Package 'mwshiny' ('Shiny' for Multiple Windows)
 A simple function, mwsApp(), that runs a 'shiny' app spanning multiple,
 connected windows. This uses all standard 'shiny' conventions, and depends
 only on the 'shiny' package.

Package: r-cran-mwtensor
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-rtensor, r-cran-nntensor, r-cran-cctensor, r-cran-itensor, r-cran-igraph
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mwtensor_1.1.0-1.ca2004.1_all.deb
Size: 174292
MD5sum: 30ce4319e741cb8447c0da00e34aea18
SHA1: 9eb189ed5469625cdab8599ab08edba5aedae784
SHA256: 2b06b5a8918f07c778f2f44d2d709f49b89438df53382707b5b4c4fef730d63e
SHA512: 1122d52b273a8cc8fc07580adbd9a42490d434c64c1387e822cb7eb34634b75dad81853998df940fc10b3ea3aee5e25f483a494ca23ff2ea05f34d0978be77df
Homepage: https://cran.r-project.org/package=mwTensor
Description: CRAN Package 'mwTensor' (Multi-Way Component Analysis)
 For single tensor data, any matrix factorization method can be specified the
 matricised tensor in each dimension by Multi-way Component Analysis (MWCA).
 An originally extended MWCA is also implemented to specify and decompose
 multiple matrices and tensors simultaneously (CoupledMWCA). See the
 reference section of GitHub README.md
 <https://github.com/rikenbit/mwTensor>, for details of the methods.

Package: r-cran-mxcc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-chi, r-cran-shotgroups
Filename: pool/dists/focal/main/r-cran-mxcc_0.0.3-1.ca2004.1_all.deb
Size: 78680
MD5sum: 24577822c33ef861c146455a5650a6b9
SHA1: 70050bb29c4cfb4c728d981aae03c8ef60beb024
SHA256: 048d601549cde29e7a9d9147e73025eeb8ea88a766c5d63f58da16e580195ebe
SHA512: 73b59d7f92ecedf50ce06589dbe68d7852eddda302229c87fae2068a9c78b2d64cbab3e0e1434edf3ca1e7e60ef133c7919ed181403ef15029e8a41546bfa020
Homepage: https://cran.r-project.org/package=mxcc
Description: CRAN Package 'mxcc' (Maxwell Control Charts)
 Computes Control limits, coefficients of control limits, various performance
 metrics and depicts control charts for monitoring Maxwell-distributed
 quality characteristics.

Package: r-cran-mxfda
Architecture: all
Version: 0.2.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3585
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-refund, r-cran-reshape2, r-cran-mgcv, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatentropy, r-cran-simdesign
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse, r-cran-survival, r-cran-ggpubr, r-cran-spatialtime, r-cran-tibble, r-cran-broom, r-cran-refund.shiny, r-cran-seurat, r-cran-seuratobject
Filename: pool/dists/focal/main/r-cran-mxfda_0.2.2-1-1.ca2004.1_all.deb
Size: 3126536
MD5sum: 4ae66d0d1091b5846de53be750e95ee7
SHA1: 2d500dac793c90e2da1deca35e03ca2b396a1159
SHA256: a60e75130f4a27e08dd768b519f16953fc90edc065329388cb8cb305d966fff8
SHA512: 5c2700f1c688e66f1189f8ed9cfe129f93a16e07d1f85b883bbb2601fb7f75ca438c0335b7e452fbd3ccbb8d5d3b29ae0575b2da2be4614da8acb46ec3c0d496
Homepage: https://cran.r-project.org/package=mxfda
Description: CRAN Package 'mxfda' (A Functional Data Analysis Package for Spatial Single Cell Data)
 Methods and tools for deriving spatial summary functions from single-cell
 imaging data and performing functional data analyses. Functions can be
 applied to other single-cell technologies such as spatial transcriptomics.
 Functional regression and functional principal component analysis methods
 are in the 'refund' package <https://cran.r-project.org/package=refund>
 while calculation of the spatial summary functions are from the 'spatstat'
 package <https://spatstat.org/>.

Package: r-cran-mxkssd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mxkssd_1.2-1.ca2004.1_all.deb
Size: 23820
MD5sum: 8cc135468e30b5b78686faecb541e2db
SHA1: 49e14c84a687102f0ddc7a93ed22fdd4b9bfc907
SHA256: 85c70fc31d8e3405e37233aeae8f49027690ff02c0793015d55d6baff0fbda9c
SHA512: 32735d933b0d884263bea9df2c376989e30287229aec62a105e50178f40208f8033b0338c33db43c2a4d2fbb9c4e835d076601f6ac8520425149015f64493721
Homepage: https://cran.r-project.org/package=mxkssd
Description: CRAN Package 'mxkssd' (Efficient Mixed-Level k-Circulant Supersaturated Designs)
 Generates efficient balanced mixed-level k-circulant supersaturated designs
 by interchanging the elements of the generator vector. Attempts to generate
 a supersaturated design that has EfNOD efficiency more than user specified
 efficiency level (mef). Displays the progress of generation of an efficient
 mixed-level k-circulant design through a progress bar. The progress of 100
 per cent means that one full round of interchange is completed. More than
 one full round (typically 4-5 rounds) of interchange may be required for
 larger designs. For more details, please see Mandal, B.N., Gupta V. K. and
 Parsad, R. (2011). Construction of Efficient Mixed-Level k-Circulant
 Supersaturated Designs, Journal of Statistical Theory and Practice, 5:4,
 627-648, <doi:10.1080/15598608.2011.10483735>.

Package: r-cran-mxm
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-ordinal, r-cran-nnet, r-cran-quantreg, r-cran-lme4, r-cran-foreach, r-cran-doparallel, r-cran-relations, r-cran-rfast, r-cran-visnetwork, r-cran-energy, r-cran-geepack, r-cran-knitr, r-cran-dplyr, r-cran-bigmemory, r-cran-coxme, r-cran-rfast2, r-cran-hmisc
Suggests: r-cran-markdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-mxm_1.5.5-1.ca2004.1_all.deb
Size: 3747236
MD5sum: 962804e829b8f12b8c87493e51f5526a
SHA1: c27dcb81a7eac8ba85da924e913464fc4ab5ab79
SHA256: 2bf535de317b6d8e806a7b4486de51c11d476b2da66b9aeb29ca9aaefb996810
SHA512: 2d910555834ca3acdf95a19bd999c5453d2537747d834fd790e37ae2473d583a935e15685c4092a1b2fcd2d732f51c694ea7e71612cdc5002be8af50596ff8f0
Homepage: https://cran.r-project.org/package=MXM
Description: CRAN Package 'MXM' (Feature Selection (Including Multiple Solutions) and BayesianNetworks)
 Many feature selection methods for a wide range of response variables,
 including minimal, statistically-equivalent and equally-predictive feature
 subsets. Bayesian network algorithms and related functions are also
 included. The package name 'MXM' stands for "Mens eX Machina", meaning "Mind
 from the Machine" in Latin. References: a) Lagani, V. and Athineou, G. and
 Farcomeni, A. and Tsagris, M. and Tsamardinos, I. (2017). Feature Selection
 with the R Package MXM: Discovering Statistically Equivalent Feature
 Subsets. Journal of Statistical Software, 80(7).
 <doi:10.18637/jss.v080.i07>. b) Tsagris, M., Lagani, V. and Tsamardinos, I.
 (2018). Feature selection for high-dimensional temporal data. BMC
 Bioinformatics, 19:17. <doi:10.1186/s12859-018-2023-7>. c) Tsagris, M.,
 Borboudakis, G., Lagani, V. and Tsamardinos, I. (2018). Constraint-based
 causal discovery with mixed data. International Journal of Data Science and
 Analytics, 6(1): 19-30. <doi:10.1007/s41060-018-0097-y>. d) Tsagris, M.,
 Papadovasilakis, Z., Lakiotaki, K. and Tsamardinos, I. (2018). Efficient
 feature selection on gene expression data: Which algorithm to use? BioRxiv.
 <doi:10.1101/431734>. e) Tsagris, M. (2019). Bayesian Network Learning with
 the PC Algorithm: An Improved and Correct Variation. Applied Artificial
 Intelligence, 33(2):101-123. <doi:10.1080/08839514.2018.1526760>. f)
 Tsagris, M. and Tsamardinos, I. (2019). Feature selection with the R package
 MXM. F1000Research 7: 1505. <doi:10.12688/f1000research.16216.2>. g)
 Borboudakis, G. and Tsamardinos, I. (2019). Forward-Backward Selection with
 Early Dropping. Journal of Machine Learning Research 20: 1-39. h) The
 gamma-OMP algorithm for feature selection with application to gene
 expression data. IEEE/ACM Transactions on Computational Biology and
 Bioinformatics 19(2): 1214-1224. <doi:10.1109/TCBB.2020.3029952>.

Package: r-cran-mxmmod
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openmx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-mxmmod_1.1.0-1.ca2004.1_all.deb
Size: 239680
MD5sum: 5f8ff3c8eef91366d9feb199f68df12a
SHA1: 683301da3ff642563c3d6a187ae7a399c2ebdf03
SHA256: 5bc64ed0243894ee592315329f421b9a115dbf20977bf91be021bd83c8a842ec
SHA512: b29259083cbf568f0f2f2feda3d39e549322ca224f7323fdd0f6e90c984eb02c735106265a63c9a8f0ac1b152c16521bd5ed58a14bfb1dc06f5dcfc92ea26de3
Homepage: https://cran.r-project.org/package=mxmmod
Description: CRAN Package 'mxmmod' (Measurement Model of Derivatives in 'OpenMx')
 Provides a convenient interface in 'OpenMx' for building Estabrook's (2015)
 <doi:10.1037/a0034523> Measurement Model of Derivatives (MMOD).

Package: r-cran-mxnorm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1374
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-fda, r-cran-data.table, r-cran-reticulate, r-cran-caret, r-cran-e1071, r-cran-ggplot2, r-cran-tidyr, r-cran-uwot, r-cran-lme4, r-cran-stringr, r-cran-kernsmooth, r-cran-ksamples, r-cran-psych, r-cran-fossil, r-cran-glue
Suggests: r-cran-knitr, r-cran-janitor, r-cran-testthat, r-cran-rmarkdown, r-cran-markdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-mxnorm_1.0.3-1.ca2004.1_all.deb
Size: 979940
MD5sum: b63b4bdf15fcb7bfb6bc94e17e5e8d7b
SHA1: c309d8c496e49dd990b2bde6e49015bc2023ca9f
SHA256: db1cfd9dadfe8a9a72de20223b04521c4eeb1616fb951c0e77692acef01d6f59
SHA512: 7351be774adf80e35341e9c63040ca990bf2254c42fbbd7cddc24cb70bbc1d344df02a9681bbe39d445357477655a932d4f762fefdd7a239ff7b5e14fcb6b8d3
Homepage: https://cran.r-project.org/package=mxnorm
Description: CRAN Package 'mxnorm' (Apply Normalization Methods to Multiplexed Images)
 Implements methods to normalize multiplexed imaging data, including
 statistical metrics and visualizations to quantify technical variation in
 this data type. Reference for methods listed here: Harris, C., Wrobel, J., &
 Vandekar, S. (2022). mxnorm: An R Package to Normalize Multiplexed Imaging
 Data. Journal of Open Source Software, 7(71), 4180,
 <doi:10.21105/joss.04180>.

Package: r-cran-my.stepwise
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-lmtest, r-cran-survival
Filename: pool/dists/focal/main/r-cran-my.stepwise_0.1.0-1.ca2004.1_all.deb
Size: 41764
MD5sum: 96efb45aa2822f358238e3b0c2fdbcc2
SHA1: 79cf3bc34e42e22f0e107ef58790f640e8a4a001
SHA256: 3a8f3abdedc4b4f58896b87cd2befdd3e49e661386b758e2673996b79e0720a9
SHA512: 53c4681108e6c0b7cee9cc02df9c977083709788e233564ed26eb7a08a8409880a610bbf4603de8129140ebd8f0876dd285543945d9bdd7ce98e1a87a088d6e1
Homepage: https://cran.r-project.org/package=My.stepwise
Description: CRAN Package 'My.stepwise' (Stepwise Variable Selection Procedures for Regression Analysis)
 The stepwise variable selection procedure (with iterations between the
 'forward' and 'backward' steps) can be used to obtain the best candidate
 final regression model in regression analysis.  All the relevant covariates
 are put on the 'variable list' to be selected. The significance levels for
 entry (SLE) and for stay (SLS) are usually set to 0.15 (or larger) for being
 conservative.  Then, with the aid of substantive knowledge, the best
 candidate final regression model is identified manually by dropping the
 covariates with p value > 0.05 one at a time until all regression
 coefficients are significantly different from 0 at the chosen alpha level of
 0.05.

Package: r-cran-mycaas
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-rlang, r-cran-rpref, r-cran-shiny
Suggests: r-cran-pks, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mycaas_0.0.1-1.ca2004.1_all.deb
Size: 67120
MD5sum: 411401a3678cea6b89b8d580c402c6d6
SHA1: ad7248da4909b6602ddf5eb41cb51d7287cf72e5
SHA256: d477b9d1066148b335d3a78d375f6329de48d8226966958e9025e60bbfeeb1b6
SHA512: 02b70ab871886a1fc64d0307da7f721e8a9d99f3aaaf5b2ed6592856197163361d4835ccdc126dc86206daae1b737e79e0a62bf36e8ef0ed21fa982f5a4126e2
Homepage: https://cran.r-project.org/package=mycaas
Description: CRAN Package 'mycaas' (My Computerized Adaptive Assessment)
 Implementation of adaptive assessment procedures based on Knowledge Space
 Theory (KST, Doignon & Falmagne, 1999 <ISBN:9783540645016>) and Formal
 Psychological Assessment (FPA, Spoto, Stefanutti & Vidotto, 2010
 <doi:10.3758/BRM.42.1.342>) frameworks. An adaptive assessment is a type of
 evaluation that adjusts the difficulty and nature of subsequent questions
 based on the test taker's responses to previous ones. The package contains
 functions to perform and simulate an adaptive assessment. Moreover, it is
 integrated with two 'Shiny' interfaces, making it both accessible and
 user-friendly.  The package has been partially funded by the European Union
 - NextGenerationEU and by the Ministry of University and Research (MUR),
 National Recovery and Resilience Plan (NRRP), Mission 4, Component 2,
 Investment 1.5, project “RAISE - Robotics and AI for Socio-economic
 Empowerment” (ECS00000035).

Package: r-cran-mychisq
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mychisq_0.1.3-1.ca2004.1_all.deb
Size: 16268
MD5sum: 3aa0a77fa1c5635357006426ccf99abe
SHA1: 186e90ba92e2e7c6e6f5b7049ee778b49aead937
SHA256: 4f6fe36d8c339d8188464e1df249c0d40b2822db1bed35fecb569d37686ef301
SHA512: 7822007a966c34f686a3da9753e84460a869e82abaadbf0186ff1cc23154c6ced0017fae76f9d10331b24ed974afa1e85ab5752970ac929526892cde8f34ca51
Homepage: https://cran.r-project.org/package=Mychisq
Description: CRAN Package 'Mychisq' (Chi-Squared Test for Goodness of Fit and Independence Test)
 The chi-squared test for goodness of fit and independence test.

Package: r-cran-myclim
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2490
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-lubridate, r-cran-tibble, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggforce, r-cran-viridis, r-cran-data.table, r-cran-plotly, r-cran-zoo, r-cran-vroom, r-cran-progress
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-myclim_1.4.0-1.ca2004.1_all.deb
Size: 1864704
MD5sum: b09e4bfaf24394367a13432940dfc224
SHA1: 4c2c51e9327e10dc39541e5d238d1d904dfd39e0
SHA256: 75ec7204db3c80a93af5629603e3cff2cae66b7b8783abff71cf6fb32d4acfe1
SHA512: 4f643abeaff439f4defe2c7303ba7d5f26d402856441a760b034c539ffdf5b0e547254f7309a10f0047d83d1bce20c74d864bdc24e9305875f1c092b1fbc4c5e
Homepage: https://cran.r-project.org/package=myClim
Description: CRAN Package 'myClim' (Microclimatic Data Processing)
 Handling the microclimatic data in R. The 'myClim' workflow begins at the
 reading data primary from microclimatic dataloggers, but can be also reading
 of meteorological station data from files.  Cleaning time step, time zone
 settings and metadata collecting is the next step of the work flow.  With
 'myClim' tools one can crop, join, downscale, and convert microclimatic data
 formats, sort them into localities, request descriptive characteristics and
 compute microclimatic variables.  Handy plotting functions are provided with
 smart defaults.

Package: r-cran-mycobacrvr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-mycobacrvr_1.1-1.ca2004.1_all.deb
Size: 89844
MD5sum: c6cdf8975d76cb390d0e521a541d6b37
SHA1: e1eadef478edcbe7f5158f268045545cee9c6ec9
SHA256: b041d37245af49e0e7ad8142195e4e396ece8df40cc12786195cc5b63b56c2ea
SHA512: a16eb867165cc0e1afb6b80b0dfe06fa2d12b2aef15a5be90f9a5f484ea5b78c327efe0841ff7239b3976fbfec89187afb7840aa5fa04aaf5bb1a99e7463a975
Homepage: https://cran.r-project.org/package=mycobacrvR
Description: CRAN Package 'mycobacrvR' (Integrative Immunoinformatics for Mycobacterial Diseases in RPlatform)
 The mycobacrvR package contains utilities to provide detailed information
 for B cell and T cell epitopes for predicted adhesins from various servers
 such as ABCpred, Bcepred, Bimas, Propred, NetMHC and IEDB. Please refer the
 URL below to download data files (data_mycobacrvR.zip) used in functions of
 this package.

Package: r-cran-mycor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 780
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mycor_0.1.1-1.ca2004.1_all.deb
Size: 726884
MD5sum: d3d6696e1428b86f3b4043e8446e1397
SHA1: 125f872fe1821734ff9bde0ccd7cfc20328bb9e4
SHA256: ac1a850d10fefcd62409990c3740f71e2da9b15fd71d60c013035a9b86675339
SHA512: 8e7eb39e3543d7b2a7deff8ec5cce0ad253f6afe1555330c94629f6633da484093638729905dabcd78105324a2caf50f189b88c33839ddcd15d248ff1995e635
Homepage: https://cran.r-project.org/package=mycor
Description: CRAN Package 'mycor' (Automatic Correlation and Regression Test in a 'data.frame')
 Perform correlation and linear regression test among the numeric fields in a
 data.frame automatically and make plots using pairs or
 lattice::parallelplot.

Package: r-cran-mycran
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cranlogs, r-cran-pkgsearch
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-mycran_1.2-1.ca2004.1_all.deb
Size: 246752
MD5sum: 2f7d4893c03356fe36b6334ca539e516
SHA1: 2915b41efa1dbd2f6397358b8cace5e098dcb5f7
SHA256: 7e9180ed5f1b765c3730efa3a8898179cf278cf52449078d435fe0d8c26b90d2
SHA512: 0594a72f126443b805b60f3867b9b228b826e3679cdb929d07ad14f9207ba8f4508ffce1348464e06dd3944fdb39dd5055f47ca45584683c87cfe685f270b38a
Homepage: https://cran.r-project.org/package=myCRAN
Description: CRAN Package 'myCRAN' (Graph of Daily and Cumulative Downloads of your Packages)
 Plot the daily and cumulative number of downloads of your packages.  It is
 designed to be slightly more convenient than the several similar programs.
 If you want to run this each morning, you do not need to keep typing in the
 names of your packages. Also, this combines the daily and cumulative counts
 in one run, you do not need to run separate programs to get both types of
 information.

Package: r-cran-myepisodes
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-myepisodes_1.1.1-1.ca2004.1_all.deb
Size: 36032
MD5sum: 83a0867b256040e370e86d0a9ff0c0c6
SHA1: a30dc88a0f1b117b30e0eb2c72d67ce848e4773c
SHA256: 79d6229b3e45286b3f5433daefab856107dff340390e09e566bebe0e949a6f71
SHA512: dd39d932329e4ace70a133c13fad33e6d9675ad7e34e534d62479e537223f5026e28d3978d631c15190ad81d299bf38c43f5fab3f5c1487f6f44a74d9740b922
Homepage: https://cran.r-project.org/package=myepisodes
Description: CRAN Package 'myepisodes' (MyEpisodes RSS/API functions)
 Useful functions for accessing MyEpisodes feeds and episode information as
 well as other tv episode related actions through www.myepisodes.com

Package: r-cran-mzipmed
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-matrixstats, r-cran-sandwich
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-mzipmed_1.4.0-1.ca2004.1_all.deb
Size: 269880
MD5sum: 692adb44b6e7ccf3683621eb0aaaf723
SHA1: 117c64cf6fc7a2506cd173c4f23851b06616a164
SHA256: c6b9dbdb5969502f5ce43cd7ff6a37d8e2981bd007f5d0d3efd15b7c66cd90a5
SHA512: 9d1bc7e200e4a9b6f796361f9eff3d66360f2cc4af1d8b68ffba6e222a34477310f0b28dc0735565a183d69522cab6a0ae9f0eacee8cbcade25905b61abaf874
Homepage: https://cran.r-project.org/package=mzipmed
Description: CRAN Package 'mzipmed' (Mediation using MZIP Model)
 We implement functions allowing for mediation analysis to be performed in
 cases where the mediator is a count variable with excess zeroes. First a
 function is provided allowing users to perform analysis for zero-inflated
 count variables using the marginalized zero-inflated Poisson (MZIP) model
 (Long et al. 2014 <DOI:10.1002/sim.6293>). Using the counterfactual approach
 to mediation and MZIP we can obtain natural direct and indirect effects for
 the overall population. Using delta method processes variance estimation can
 be performed instantaneously. Alternatively, bootstrap standard errors can
 be used. We also provide functions for cases with exposure-mediator
 interactions with four-way decomposition of total effect.

Package: r-cran-mztwinreg
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-mclogit
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-mztwinreg_1.0-1-1.ca2004.1_all.deb
Size: 44800
MD5sum: d9d274ec0c740a5977b834425acd1edd
SHA1: 9206f0fabd786b93e736928d4e8b064afcf19287
SHA256: 623b4a0349b896450b866415f27dfea6246439b039f3831e0de2bb30e754202b
SHA512: ed7bc6fdcd5211efa418b44c7f518ea6779aff3bcca0afa97afdee5c443d079f56f16be5e4f8f23f4e8fdb89704e2973376438a82e22e33232bdb74aecc9c371
Homepage: https://cran.r-project.org/package=mztwinreg
Description: CRAN Package 'mztwinreg' (Regression Models for Monozygotic Twin Data)
 Linear and logistic regression models for quantitative genetic analysis of
 data from monozygotic twins.

Package: r-cran-n2h4
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rvest, r-cran-jsonlite, r-cran-tibble, r-cran-lifecycle, r-cran-httr2, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-devtools, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-n2h4_0.8.4-1.ca2004.1_all.deb
Size: 108964
MD5sum: 052a3c1fa02ec3f0c06761aeca85d17e
SHA1: 386a1a415472bba74905e8c47183806da878003f
SHA256: f59c64b184e4dc74c8f25705ffbd6dd09a12db69a53ed6171235b00c65d7b054
SHA512: be10a8d31b10928c7bd2892f7e132e06fc9c81a739f61ed22dacd244c520e3a9b16777d1416aba047295d3e94b027edfac8e7674e1923f8ac2e374ec99e4bd5f
Homepage: https://cran.r-project.org/package=N2H4
Description: CRAN Package 'N2H4' (Handling Methods for Naver News Text Crawling)
 Provides some functions to get Korean text sample from news articles in
 Naver which is popular news portal service <https://news.naver.com/> in
 Korea.

Package: r-cran-na.tools
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-na.tools_0.3.1-1.ca2004.1_all.deb
Size: 64740
MD5sum: a007cbed9334d743232998f2c4803fb8
SHA1: 5b6656682c7e59c49b571a712bf079f86f24ce84
SHA256: cc5b20136fdfbbbf621af722392b3a1f9de9eab171a23828653a115eac30d37f
SHA512: e883380db478c761d9cd394f796772104c31a3cde48e7ea6b4fd94915ce6a6738db65a4d5b08f00eae7bae1d9eb73ae99d925c410b17314753baf96658518eb7
Homepage: https://cran.r-project.org/package=na.tools
Description: CRAN Package 'na.tools' (Comprehensive Library for Working with Missing (NA) Values inVectors)
 This comprehensive toolkit provide a consistent and extensible framework for
 working with missing values in vectors. The companion package 'tidyimpute'
 provides similar functionality for list-like and table-like structures).
 Functions exist for detection, removal, replacement, imputation,
 recollection, etc. of 'NAs'.

Package: r-cran-naaccr
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1268
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-stringi, r-cran-xml
Suggests: r-cran-devtools, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-testthat, r-cran-isocodes, r-cran-xml2, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-naaccr_3.1.1-1.ca2004.1_all.deb
Size: 746072
MD5sum: 53dc30079cadec0661877dcc48042f21
SHA1: 413294f103841eea0aa97b71ff2dbed73cce4c64
SHA256: 55657897f97049ef71a8eb7b66d288837ab1d3ea76b2a8c0c4f76333a5e26983
SHA512: f026e3bdcaa5bb06583418d88fd0c80db21300c50a73005845de13031fbea3228ff9f86b070857b67f67452de224779e5d8118e27ce67c84cbae64dc170914b1
Homepage: https://cran.r-project.org/package=naaccr
Description: CRAN Package 'naaccr' (Read Cancer Records in the NAACCR Format)
 Functions for reading cancer record files which follow a format defined by
 the North American Association of Central Cancer Registries (NAACCR).

Package: r-cran-nac
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-testthat, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-nac_0.1.0-1.ca2004.1_all.deb
Size: 61188
MD5sum: a1d438565ccf37b11e6d4dd19e9039ff
SHA1: 66548f045f20c4ef41ee9473f049844d152699fa
SHA256: 76ca79f584f7cf2bdacfe8897d03304683338ed1f419bf6491bf54657a364ec2
SHA512: b27eba6869efc78e149db8eb9dbe61a9cae637fdeaba06d0f3c798764a7230fa95c533ca5478c92b6a1086a7053d1b53bac7f311b7a9b026bae85ce5c50350fa
Homepage: https://cran.r-project.org/package=NAC
Description: CRAN Package 'NAC' (Network-Adjusted Covariates for Community Detection)
 Incorporating node-level covariates for community detection has gained
 increasing attention these years. This package provides the function for
 implementing the novel community detection algorithm known as
 Network-Adjusted Covariates for Community Detection (NAC), which is designed
 to detect latent community structure in graphs with node-level information,
 i.e., covariates. This algorithm can handle models such as the
 degree-corrected stochastic block model (DCSBM) with covariates. NAC
 specifically addresses the discrepancy between the community structure
 inferred from the adjacency information and the community structure inferred
 from the covariates information. For more detailed information, please refer
 to the reference paper: Yaofang Hu and Wanjie Wang (2023)
 <arXiv:2306.15616>. In addition to NAC, this package includes several other
 existing community detection algorithms that are compared to NAC in the
 reference paper. These algorithms are Spectral Clustering On Ratios-of
 Eigenvectors (SCORE), network-based regularized spectral clustering
 (Net-based), covariate-based spectral clustering (Cov-based),
 covariate-assisted spectral clustering (CAclustering) and semidefinite
 programming (SDP).

Package: r-cran-nacho
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggforce, r-cran-ggrepel, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinywidgets
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-covr, r-bioc-biobase, r-bioc-geoquery, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-nacho_2.0.6-1.ca2004.1_all.deb
Size: 1587128
MD5sum: 02353df0136ff238a4ca0e911a5278cc
SHA1: dd2f43111a16dd13843973198fe1498c78218a01
SHA256: bbcbada0a09de0218daa2ed641630714bd5590e08d53e72e7149d9a6a72d0e37
SHA512: 675f804cd7f4ea73dafea58552b61384ad8fb607a4ae2d5689fa55801d25ef2f8f1ba172c0b99131d823bdd4f6517e7b9d6217ae8ce090e3d5257fe2b40bd237
Homepage: https://cran.r-project.org/package=NACHO
Description: CRAN Package 'NACHO' (NanoString Quality Control Dashboard)
 NanoString nCounter data are gene expression assays where there is no need
 for the use of enzymes or amplification protocols and work with fluorescent
 barcodes (Geiss et al. (2018) <doi:10.1038/nbt1385>). Each barcode is
 assigned a messenger-RNA/micro-RNA (mRNA/miRNA) which after bonding with its
 target can be counted. As a result each count of a specific barcode
 represents the presence of its target mRNA/miRNA. 'NACHO' (NAnoString
 quality Control dasHbOard) is able to analyse the exported NanoString
 nCounter data and facilitates the user in performing a quality control.
 'NACHO' does this by visualising quality control metrics, expression of
 control genes, principal components and sample specific size factors in an
 interactive web application.

Package: r-cran-nada2
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1478
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-envstats, r-cran-fitdistrplus, r-cran-kendall, r-cran-multcomp, r-cran-nada, r-cran-perm, r-cran-survminer, r-cran-mgcv, r-cran-cengam, r-cran-vegan, r-cran-coin, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bestglm, r-cran-car, r-cran-nlme, r-cran-rms
Filename: pool/dists/focal/main/r-cran-nada2_1.1.8-1.ca2004.1_all.deb
Size: 849268
MD5sum: 668da65f1b7712009be34d5829ad2e8c
SHA1: 3bf459c86cdcbe33dad20ec698fa80f66a3a84d3
SHA256: 86a2e3551c193acf1c5d8d2fe41c0121837064c416f09edd318cfa8c02a38d07
SHA512: 1fde2c7d7431f38603705ee444fbaf783f3b3bf3863364647dd5deb00b3212a76db6b7b43f64647ba8d3159d109ed99a5ca48067b50f1ff70c8966514a65a569
Homepage: https://cran.r-project.org/package=NADA2
Description: CRAN Package 'NADA2' (Data Analysis for Censored Environmental Data)
 Contains methods described by Dennis Helsel in his book "Statistics for
 Censored Environmental Data using Minitab and R" (2011) and courses and
 videos at <https://practicalstats.com>. This package adds new functions to
 the `NADA` Package.

Package: r-cran-nada
Architecture: all
Version: 1.6-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-nada_1.6-1.1-1.ca2004.1_all.deb
Size: 464548
MD5sum: 6d61aca3f6a84be2a284456a829d0f82
SHA1: 4716657213d6f3f87bb207fc21b57b7150475605
SHA256: cf209acf46e01b1f0c432b4c59694f894da58ff52b9cc0959c87907b91e87349
SHA512: f03582a6b8a53f432d8180f2d061c70223ea401453eb25017ffc98440c7257fb4db92e8d1ba45b5f2621b59a9e78a39c53b2f10d87e657ddeb1b5939475c6d87
Homepage: https://cran.r-project.org/package=NADA
Description: CRAN Package 'NADA' (Nondetects and Data Analysis for Environmental Data)
 Contains methods described by Dennis Helsel in his book "Nondetects And Data
 Analysis: Statistics for Censored Environmental Data".

Package: r-cran-nadia
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1527
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mlr3, r-cran-mlr3pipelines, r-cran-paradox, r-cran-missforest, r-cran-missmda, r-cran-doparallel, r-cran-testthat, r-cran-mlr3learners, r-cran-rpart, r-cran-glmnet, r-cran-amelia, r-cran-vim, r-cran-softimpute, r-cran-missranger, r-cran-mice, r-cran-data.table, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-nadia_0.4.2-1.ca2004.1_all.deb
Size: 1002952
MD5sum: cbfa4b2af689332133a6d51436541739
SHA1: 306a63da1ebd425452b7867fbd898ba32f85e91f
SHA256: 03c5b3700d4efab022aa1f65f58bf1a182e857b5faec9c03a862f71ec89a8276
SHA512: 2afda314a9f199c84a8caaa790c1f3ab9b5df983dbd3f5afafd11cde2abe4666e0dfdf99bd4b4b9dc5ffc8b34695236242781b564c1fced6c7421159b1fb9058
Homepage: https://cran.r-project.org/package=NADIA
Description: CRAN Package 'NADIA' (NA Data Imputation Algorithms)
 Creates a uniform interface for several advanced imputations missing data
 methods. Every available method can be used as a part of 'mlr3' pipelines
 which allows easy tuning and performance evaluation. Most of the used
 functions work separately on the training and test sets (imputation is
 trained on the training set and impute training data. After that imputation
 is again trained on the test set and impute test data).

Package: r-cran-naepirtparams
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-naepirtparams_1.0.0-1.ca2004.1_all.deb
Size: 245636
MD5sum: 7d643ec7cc2edc45d31ac09e278b3c6e
SHA1: 4bc1da4d7249c69dca47411040367c395dac562b
SHA256: 03e2462e39efb8f478b1cf4d624d36586683d7ac78ed59242037ecb901f53890
SHA512: c21ee04b3eb6ef62f99a7e8f6c8b53c03be6e03f685af0ebf0b96c4696df71fe072710cc5006c3f188348cdcbf1d79324c8fd6c7d9e31e100ca3658a102edf5f
Homepage: https://cran.r-project.org/package=NAEPirtparams
Description: CRAN Package 'NAEPirtparams' (IRT Parameters for the National Assessment of Education Progress)
 This data package contains the Item Response Theory (IRT) parameters for the
 National Center for Education Statistics (NCES) items used on the National
 Assessment of Education Progress (NAEP) from 1990 to 2015. The values in
 these tables are used along with NAEP data to turn student item responses
 into scores and include information about item difficulty, discrimination,
 and guessing parameter for 3 parameter logit (3PL) items. Parameters for
 Generalized Partial Credit Model (GPCM) items are also included. The
 adjustments table contains the information regarding the treatment of items
 (e.g., deletion of an item or a collapsing of response categories), when
 these items did not appear to fit the item response models used to describe
 the NAEP data. Transformation constants change the score estimates that are
 obtained from the IRT scaling program to the NAEP reporting metric. Values
 from the years 2000 - 2013 were taken from the NCES website
 <https://nces.ed.gov/nationsreportcard/> and values from 1990 - 1998 and
 2015 were extracted from their NAEP data files. All subtest names were
 reduced and homogenized to one word (e.g. "Reading to gain information"
 became "information"). The various subtest names for univariate
 transformation constants were all homogenized to "univariate".

Package: r-cran-naepprimer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 16642
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-naepprimer_1.0.1-1.ca2004.1_all.deb
Size: 1620500
MD5sum: 7a72632cc06bf08e17f3a3ebe06c4362
SHA1: 108e6f378b4ca67332defdf96138f33750498d2b
SHA256: b73d1bd4c527639ca3b102c435ec4ef1b910b96a4c48d18634b49043afe5f4c0
SHA512: e29d2d26ae1153fd751ddcfe759a101dca403dea6622ddd9e466f0e0715afe2ee58e2fb0977d97032905d3e5e56a3a582697b2a99542d09356e1be8e1353995e
Homepage: https://cran.r-project.org/package=NAEPprimer
Description: CRAN Package 'NAEPprimer' (The NAEP Primer)
 Contains a sample of the 2005 Grade 8 Mathematics data from the National
 Assessment of Educational Progress (NAEP). This data set is called the NAEP
 Primer.

Package: r-cran-naflex
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-naflex_0.1.1-1.ca2004.1_all.deb
Size: 44084
MD5sum: f59f7be2d6d8fdcd0b59a019d36a75cc
SHA1: f3cae68a0a1b58a7c418192f288877aa4dc6bee4
SHA256: 4940d87b8349c66f61e5614144f2c5591a5f95fdb34dd3a5f76c8f981bf7fb7f
SHA512: d2b1588b561fbe86b4d509e585c331f0629ee3d332ff65f4d54ce244836c4e70eb0a0a02742f4b371b75de0342cb040a3b0e6b804ed79f9937e3800b8d2520fc
Homepage: https://cran.r-project.org/package=naflex
Description: CRAN Package 'naflex' (Flexible Options for Handling Missing Values)
 For use in summary functions to omit missing values conditionally using
 specified checks.

Package: r-cran-naijr
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1929
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-cli, r-cran-lifecycle, r-cran-mapdata, r-cran-maps, r-cran-rlang, r-cran-sf, r-cran-stringi
Suggests: r-cran-isocodes, r-cran-covr, r-cran-here, r-cran-knitr, r-cran-purrr, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-wikidatar
Filename: pool/dists/focal/main/r-cran-naijr_0.6.2-1.ca2004.1_all.deb
Size: 1832792
MD5sum: 6be52d2a3fa62e8e4e57d232660af158
SHA1: 1ccfe556d506226124c01bf9679c04a67a6cf74f
SHA256: 42b54f21b584adce9f88eb4b3d99f9c677f458621c6150bb11c82c9182b0d8bc
SHA512: 015d6339ba28e61462afad8eddab03e57e5167ab4179ee6b4a7e88126a5338e3c75ead28125a9d1dd1dc160cc91da059573be72e82a9fa7c67950367ef67c75a
Homepage: https://cran.r-project.org/package=naijR
Description: CRAN Package 'naijR' (Operations to Ease Data Analyses Specific to Nigeria)
 A set of convenience functions as well as geographical/political data about
 Nigeria, aimed at simplifying work with data and information that are
 specific to the country.

Package: r-cran-nailer
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-factominer, r-cran-glue, r-cran-ollamar, r-cran-magrittr, r-cran-tibble, r-cran-rlang, r-cran-sensominer
Filename: pool/dists/focal/main/r-cran-nailer_1.2.2-1.ca2004.1_all.deb
Size: 313512
MD5sum: c348d7367c9e186a4779d37716c8c5f5
SHA1: 537095220d862c89b571640b687f0abe17175dd6
SHA256: f157e88b125de090c847a91044b1dae193f4c6c768e9217b181389511f52a8b7
SHA512: 55a900fc3a57bcf9451bca5288171a46da78aa2ce2a1c043a24c81086ff54ae6f3ee8a886bd20ed871e64f89440011c7d62145f81cc7304eec0d6508e0efffd0
Homepage: https://cran.r-project.org/package=NaileR
Description: CRAN Package 'NaileR' (Interpreting Latent Variables with AI)
 A small package designed for interpreting continuous and categorical latent
 variables. You provide a data set with a latent variable you want to
 understand and some other explanatory variables. It provides a description
 of the latent variable based on the explanatory variables. It also provides
 a name to the latent variable.

Package: r-cran-naive
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-ggplot2, r-cran-readr, r-cran-lubridate, r-cran-imputets, r-cran-fancova, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-greybox, r-cran-rfast, r-cran-fastdummies, r-cran-entropy, r-cran-philentropy
Filename: pool/dists/focal/main/r-cran-naive_1.2.3-1.ca2004.1_all.deb
Size: 88636
MD5sum: 73291bdc21945648b40a48d85a66e91d
SHA1: df2f41c918b8bd25fa42d3c2a01e888ae1f027ec
SHA256: 650a0f9fe470293171ecec1ce8ee86367711469aa47aa6a4f73e0a37a7f88637
SHA512: e38bb910c87e89a9a32a5995da4f8e2b9814b50c8559e7e9b5e66dcbccf76720e26c7d1e4926ccc050309022c3fab4bf852781bad073cf815f1adf3a71ca04f7
Homepage: https://cran.r-project.org/package=naive
Description: CRAN Package 'naive' (Empirical Extrapolation of Time Feature Patterns)
 An application for the empirical extrapolation of time features selecting
 and summarizing the most relevant patterns in time sequences.

Package: r-cran-naivebayes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1090
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-naivebayes_1.0.0-1.ca2004.1_all.deb
Size: 926308
MD5sum: 7dbc7be33ea5f3165a01199552a8165e
SHA1: 34de5a40ec4283d05cc137cfa357785302383d3d
SHA256: 0f45303d567a6118f5594d812cb0ae5f948f9b05a0bdbc7d73d3cb82534bb283
SHA512: 71ed20060280e8dfe83de4cde2230ecd1be567d6ddd9307e27bb41834e8b209ade5d1776176be53f541a6aded30caf05d5c3db21c2d5ba89c327b92e6ca21275
Homepage: https://cran.r-project.org/package=naivebayes
Description: CRAN Package 'naivebayes' (High Performance Implementation of the Naive Bayes Algorithm)
 In this implementation of the Naive Bayes classifier following class
 conditional distributions are available: 'Bernoulli', 'Categorical',
 'Gaussian', 'Poisson', 'Multinomial' and non-parametric representation of
 the class conditional density estimated via Kernel Density Estimation.
 Implemented classifiers handle missing data and can take advantage of sparse
 data.

Package: r-cran-naivereg
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grpreg, r-cran-gmm, r-cran-ncvreg, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-naivereg_1.0.5-1.ca2004.1_all.deb
Size: 578600
MD5sum: 7b2a5cd9f9c93c8a6d07103962da238d
SHA1: 0735fb224996701004c401a64ccdb9cf8126ad7d
SHA256: 6b7e754d84e1b1cc0c34e14ff611beb99fa37d3a214fb351a2cc6eabf12300f8
SHA512: 8102884d00d5b55731d541383e857a38d113ad63958e02008dfc00646f2e366ad866d536825c02701f31afacde8ef1f07c2efa82566ccddb8b3328aa9a9f9485
Homepage: https://cran.r-project.org/package=naivereg
Description: CRAN Package 'naivereg' (Nonparametric Additive Instrumental Variable Estimator andRelated IV Methods)
 In empirical studies, instrumental variable (IV) regression is the signature
 method to solve the endogeneity problem. If we enforce the exogeneity
 condition of the IV, it is likely that we end up with a large set of IVs
 without knowing which ones are good. Also, one could face the model
 uncertainty for structural equation, as large micro dataset is commonly
 available nowadays. This package uses adaptive group lasso and B-spline
 methods to select the nonparametric components of the IV function, with the
 linear function being a special case (naivereg). The package also
 incorporates two stage least squares estimator (2SLS), generalized method of
 moment (GMM), generalized empirical likelihood (GEL) methods post instrument
 selection, logistic-regression instrumental variables estimator (LIVE, for
 dummy endogenous variable problem), double-selection plus instrumental
 variable estimator (DS-IV) and double selection plus logistic regression
 instrumental variable estimator (DS-LIVE), where the double selection
 methods are useful for high-dimensional structural equation models. The
 naivereg is nonparametric version of 'ivregress' in 'Stata' with IV
 selection and high dimensional features. The package is based on the paper
 by Q. Fan and W. Zhong, "Nonparametric Additive Instrumental Variable
 Estimator: A Group Shrinkage Estimation Perspective" (2018), Journal of
 Business & Economic Statistics <doi:10.1080/07350015.2016.1180991> as well
 as a series of working papers led by the same authors.

Package: r-cran-nakagami
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nakagami_1.1.0-1.ca2004.1_all.deb
Size: 154008
MD5sum: a2aa9e68bc624a8b28ed4a3392506bb9
SHA1: b8b8d4247f67a44500e86f7cc8b5ae8eddb7604b
SHA256: 26e3d259d11ba0c49ee0258850344ef6191acdef13655f9869a3ec78a7809ee1
SHA512: 166f8c45c6417e019156f1d6f7495ce265a5652f5574da89d5bdce058b29b0100806baf1e0654ffcecd92f018916ceef045e6edde634553948c8167a367035d5
Homepage: https://cran.r-project.org/package=nakagami
Description: CRAN Package 'nakagami' (Functions for the Nakagami Distribution)
 Density, distribution function, quantile function and random generation for
 the Nakagami distribution of Nakagami (1960)
 <doi:10.1016/B978-0-08-009306-2.50005-4>.

Package: r-cran-name
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-rlang, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-name_0.0.1-1.ca2004.1_all.deb
Size: 61088
MD5sum: 1a3f99bf98eb98a4825e929280726845
SHA1: 00f81e05862d5a6d14a1cf5390a882ffe49fc160
SHA256: c1d8d89172714120408c9a4a87949b01efaaf472d5f14a2abb292c9708293c72
SHA512: bdfebb5da51896018e317be1370739c49df60a63fc8e59d05de66d848a8eee307fe9d5dc4ab3ffe0ab5bf94d6b47bd0a32180641fc54791e62a46b6f643dd32d
Homepage: https://cran.r-project.org/package=name
Description: CRAN Package 'name' (Tools for Working with Names)
 A system for organizing column names in data. Aimed at supporting a
 prefix-based and suffix-based column naming scheme. Extends 'dplyr'
 functionality to add ordering by function and more explicit renaming.

Package: r-cran-namedcapture
Architecture: all
Version: 2020.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-data.table, r-cran-knitr, r-cran-rmarkdown, r-cran-rex, r-cran-dplyr, r-cran-tidyr, r-cran-rematch2
Filename: pool/dists/focal/main/r-cran-namedcapture_2020.4.1-1.ca2004.1_all.deb
Size: 78700
MD5sum: 6976fba14a76ad9ef7e6451e6902c61d
SHA1: eead11edd3e562bc77e541a78e082aa70be383df
SHA256: 737d3e69ebc91007a5f83c0f52e0c8cd747c05aaa1c8e3e0f1fd110fa39d9097
SHA512: 6134635dc531b2dd6c9aed008ac8da20404f356f811c164546259ac166884c4bb9c2700c6de47e383f38b2f1b506218f1ef2d2489b1b622f558b906b0f94d16f
Homepage: https://cran.r-project.org/package=namedCapture
Description: CRAN Package 'namedCapture' (Named Capture Regular Expressions)
 User-friendly wrappers for named capture regular expressions.  Introduction
 and comparison in research paper by Hocking (2019), R Journal.
 <doi:10.32614/RJ-2019-050> RE2 engine ('re2r' package)
 <https://github.com/qinwf/re2r> was removed from CRAN in Mar 2020 so must be
 installed from github.

Package: r-cran-namedropr
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1204
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bib2df, r-cran-dplyr, r-cran-htmltools, r-cran-lubridate, r-cran-qrcode, r-cran-r.utils, r-cran-readr, r-cran-stringr, r-cran-webshot
Suggests: r-cran-knitr, r-cran-rcrossref, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-namedropr_2.4.1-1.ca2004.1_all.deb
Size: 910992
MD5sum: 1b41efc72fb002c14f26dee8dc15484a
SHA1: b4a481cd3390e7236773c6c588881445b05732c1
SHA256: 246d190eb99406e82915a2321b3e0b5847e46eef36b6f72dc57bb4a4bf814314
SHA512: 1d32d4bee0010c058202040d57fb9ab8dc2a033f3148060e273192d53e35fbdf6b3bac06c7d7ea38b602112d1b968f7c9dce676bc8fb82c7d7d3684721446065
Homepage: https://cran.r-project.org/package=namedropR
Description: CRAN Package 'namedropR' (Create Visual Citations for Presentations and Posters)
 Provides 'visual citations' containing the metadata of a scientific paper
 and a 'QR' code.  A 'visual citation' is a banner containing title, authors,
 journal and year of a publication.  This package can create such banners
 based on 'BibTeX' and 'BibLaTeX' references or call the reference metadata
 from 'Crossref'-API. The banners include a QR code pointing to the 'DOI'.
 The resulting HTML object or PNG image can be included in a presentation to
 point the audience to good resources for further reading.  Styling is
 possible via predefined designs or via custom 'CSS'.  This package is not
 intended as replacement for proper reference manager packages, but a tool to
 enrich scientific presentation slides and conference posters.

Package: r-cran-nameneedle
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-bioc-biostrings
Filename: pool/dists/focal/main/r-cran-nameneedle_1.2.8-1.ca2004.1_all.deb
Size: 115240
MD5sum: f170a95d32de4a1b73b5edab85f6a277
SHA1: c962d78c1514061a48b283bfbebb624dd439cd3b
SHA256: 005add5107405a1607ccd1c6d1499979cddbeea2f9b2c555cf3750e78da643da
SHA512: 3b376e95508e924b0b82cea0a77a63d2e1c6205f43392934df1efeca9386681c2aa25416ab62484d458efcddfcb8be354007ea75859d284e38bf3438958ee27b
Homepage: https://cran.r-project.org/package=NameNeedle
Description: CRAN Package 'NameNeedle' (Using Needleman-Wunsch to Match Sample Names)
 The Needleman-Wunsch global alignment algorithm can be used to find
 approximate matches between sample names in different data sets. See Wang et
 al. (2010) <doi:10.4137/CIN.S5613>.

Package: r-cran-namer
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rstudioapi, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-namer_0.1.9-1.ca2004.1_all.deb
Size: 99272
MD5sum: e9fbc0d98ea1ac9d568c8a0681885b65
SHA1: f080c9bf85f656b15032d837fce788af46acca6e
SHA256: c0a86f4d3a052d6f4b7d261f4bc9c440dd2b4e14e7acbf9a2710c213ec056424
SHA512: 0e58e1b6c6f01ea791a04c7c526ce65c12c71187219e8454fa337cb2e889a64976ae76a2fae8be7df7a9925e77dd54a4310d09780b684c27dbe39882afbd3e5e
Homepage: https://cran.r-project.org/package=namer
Description: CRAN Package 'namer' (Names Your 'R Markdown' Chunks)
 It names the 'R Markdown' chunks of files based on the filename.

Package: r-cran-naniar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3740
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-norm, r-cran-magrittr, r-cran-visdat, r-cran-rlang, r-cran-forcats, r-cran-viridis, r-cran-glue, r-cran-upsetr, r-cran-cli, r-cran-vctrs, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rpart, r-cran-rpart.plot, r-cran-covr, r-cran-gridextra, r-cran-wakefield, r-cran-vdiffr, r-cran-here, r-cran-simputation, r-cran-imputets, r-cran-hmisc, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-naniar_1.1.0-1.ca2004.1_all.deb
Size: 2469160
MD5sum: f35a6bd6a4c7a7cceceaa4d7a6e6f42b
SHA1: e7a380bd13b174689c59658cddd156a2ea35280c
SHA256: 9363dab3e780bb3bcea1820b54bb240fc2bb74636e15a94ff8054dcf1e2dd647
SHA512: cdd345c3ea2d3d16aab34966faab2a32e2e3c4eecce0579048842d3ba58cc2b9f0c11d32f0bb487fe4bb0eccb6dc4bdddc7662f76655aa977086ccce476d4596
Homepage: https://cran.r-project.org/package=naniar
Description: CRAN Package 'naniar' (Data Structures, Summaries, and Visualisations for Missing Data)
 Missing values are ubiquitous in data and need to be explored and handled in
 the initial stages of analysis. 'naniar' provides data structures and
 functions that facilitate the plotting of missing values and examination of
 imputations. This allows missing data dependencies to be explored with
 minimal deviation from the common work patterns of 'ggplot2' and tidy data.
 The work is fully discussed at Tierney & Cook (2023)
 <doi:10.18637/jss.v105.i07>.

Package: r-cran-nanostringr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-ccapp, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nanostringr_0.6.1-1.ca2004.1_all.deb
Size: 574644
MD5sum: 268b0bc6fb0d52875f97038db182ab3d
SHA1: a289298a2df6a4bc5dad67851c83437b434f505a
SHA256: f5aa3f4a518323a167b684fd189fb8e73fead423d83a4eb299e866fa5a8832eb
SHA512: 87460eb8c3379a78b5b6df2c2d9f9dfdd42b9d2df01cc6f0a12b6b4be3a85099a24ee4ac124c1bd06637733057e924295c411111bf71a13c0ab1c271f5a6d4c5
Homepage: https://cran.r-project.org/package=nanostringr
Description: CRAN Package 'nanostringr' (Performs Quality Control, Data Normalization, and Batch EffectCorrection for 'NanoString nCounter' Data)
 Provides quality control (QC), normalization, and batch effect correction
 operations for 'NanoString nCounter' data, Talhouk et al. (2016)
 <doi:10.1371/journal.pone.0153844>.  Various metrics are used to determine
 which samples passed or failed QC.  Gene expression should first be
 normalized to housekeeping genes, before a reference-based approach is used
 to adjust for batch effects.  Raw NanoString data can be imported in the
 form of Reporter Code Count (RCC) files.

Package: r-cran-nap
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-nap_1.1-1.ca2004.1_all.deb
Size: 349340
MD5sum: f69915aa3b0260e25eaa1b9e31d2aea8
SHA1: 559ba50a0118f3a1839c65ebadcf98ebe610081b
SHA256: f65fce0656297b6fc9ed15d6d9d7fd15a09c6bc11a880f1bc43fbb98efc2d111
SHA512: 9e614c224a5ca369d70a5fe0ba470d8577df0a0278d6f84dbbb22ef20a2f33616703b4c2cd9748de8eb72410310ed88edba9194e627abd36923d213710de96df
Homepage: https://cran.r-project.org/package=NAP
Description: CRAN Package 'NAP' (Non-Local Alternative Priors in Psychology)
 Conducts Bayesian Hypothesis tests of a point null hypothesis against a
 two-sided alternative using Non-local Alternative Prior (NAP) for one- and
 two-sample z- and t-tests (Pramanik and Johnson, 2022). Under the
 alternative, the NAP is assumed on the standardized effects size in
 one-sample tests and on their differences in two-sample tests. The package
 considers two types of NAP densities: (1) the normal moment prior, and (2)
 the composite alternative.  In fixed design tests, the functions calculate
 the Bayes factors and the expected weight of evidence for varied effect size
 and sample size. The package also provides a sequential testing framework
 using the Sequential Bayes Factor (SBF) design. The functions calculate the
 operating characteristics (OC) and the average sample number (ASN), and also
 conducts sequential tests for a sequentially observed data.

Package: r-cran-naptanr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-naptanr_1.0.1-1.ca2004.1_all.deb
Size: 21464
MD5sum: c2edc7c1e72bb32cf6729af884646e09
SHA1: 82cde0b9ff36e36512cdc1ccc0a94aed0d9059d2
SHA256: 9eae39fbe7e00181b87c237041fd36825a9d3086cbebacbba1eff546c96c09d9
SHA512: 94a3bccd7cb8bef853753529521416623557b72825696cbc1bab17c933a5f1e08742622ad18eec48a2f78f9e5bc0531bc2aac61ff0750b7aabcd86e373411c83
Homepage: https://cran.r-project.org/package=naptanr
Description: CRAN Package 'naptanr' (Call the 'NaPTAN' API Through R)
 An R wrapper for pulling data from the National Public Transport Access
 Nodes ('NaPTAN') API
 (<https://www.api.gov.uk/dft/national-public-transport-access-nodes-naptan-api/#national-public-transport-access-nodes-naptan-api>).
 This allows users to download 'NaPTAN' transport information, for the full
 dataset, by ATCO region code, or by name of region.

Package: r-cran-naptime
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-naptime_1.3.1-1.ca2004.1_all.deb
Size: 18444
MD5sum: a6a530b78c11dd4e23c262c3310dc4e4
SHA1: 0ab981ab8d19a88ffea9fa275b4f4c75437670fc
SHA256: d050b54f15d4ca94a2480d0aa7c1cd1871172cd112a645ae33f3985f42cd36ab
SHA512: 4a6583777ef2486260a04b06e8772388464c25dc716bb1bd333ac31fba03f59677f8fdc56476fb2d685c9a58f921cc06fddf8b83e853da787b2fcfdecb1960c9
Homepage: https://cran.r-project.org/package=naptime
Description: CRAN Package 'naptime' (A Flexible and Robust Sys.sleep() Replacement)
 Provides a near drop-in replacement for base::Sys.sleep() that allows more
 types of input to produce delays in the execution of code and can
 silence/prevent typical sources of error.

Package: r-cran-nardl
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-strucchange, r-cran-tseries, r-cran-formula, r-cran-gtools, r-cran-car, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nardl_0.1.6-1.ca2004.1_all.deb
Size: 85860
MD5sum: 548bae907aa7c27c2a536ba2d494da78
SHA1: b7ee34d7d009eeafd009ccb2702b6f46ea139a70
SHA256: 0365c3a778ee1483ceda7e9371e89504233625a13185da8208650dcb3b6da7ac
SHA512: 03928b60227a9b1235576b7a70141558bd5d9ac0d955cae49d3f2a10e7ad8290d95152baa87cf3f0df3270d2ddb74f162fb8a1480afc05e53c39e665a2b7adb0
Homepage: https://cran.r-project.org/package=nardl
Description: CRAN Package 'nardl' (Nonlinear Cointegrating Autoregressive Distributed Lag Model)
 Computes the nonlinear cointegrating autoregressive distributed lag model
 with automatic bases aic and bic lags selection of independent variables
 proposed by (Shin, Yu & Greenwood-Nimmo, 2014
 <doi:10.1007/978-1-4899-8008-3_9>).

Package: r-cran-nasa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magick, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nasa_1.0.0-1.ca2004.1_all.deb
Size: 30192
MD5sum: 54e4d0e7ee90c91cd834705aa5a74fd2
SHA1: 217c492b67bddc1741a441ea8743f3c0f8a8f9e2
SHA256: 5c0069f7bd01b12222fbdb49dbd7c250a3eb201f26a5424ad8c2b07828e31928
SHA512: 5c668ff7ed1d4649ec2401795206377a956d86c957334635de44352ad40cda0b5ec5e667425a811688210ca8622717b08ae90ec720004e046a0fdf0437a7e04d
Homepage: https://cran.r-project.org/package=nasa
Description: CRAN Package 'nasa' (Access National Aeronautics and Space Administration (NASA) APIs)
 Provides functions to access and download data from various NASA APIs
 <https://api.nasa.gov/#browseAPI>, including: Astronomy Picture of the Day
 (APOD), Mars Rover Photos, Earth Polychromatic Imaging Camera (EPIC), Near
 Earth Object Web Service (NeoWs), Earth Observatory Natural Event Tracker
 (EONET), and NASA Earthdata CMR Search. Most endpoints require a NASA API
 key for access.  Data is retrieved, cleaned for analysis, and returned in a
 dataframe-friendly format.

Package: r-cran-nasadata
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-png, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-nasadata_0.9.0-1.ca2004.1_all.deb
Size: 27908
MD5sum: 0485c71a680cfc03c29d065689ee8796
SHA1: 729a1c385ba81499fe8ea2ca6607f2a71e729c80
SHA256: e6df074973cb0869d50381748b4e849e4cf4e7a975dfdacb58abd175b25513d6
SHA512: d97739a02de56c108cadac826cd7df1287b3ece594754dfdc4fa94caf6e72658ba9bf1ec3a7ec2dc07166d9dd9f059717fb2f2e9e6916f5c494e0c5260d445e3
Homepage: https://cran.r-project.org/package=nasadata
Description: CRAN Package 'nasadata' (Interface to Various NASA API's)
 Provides functions to access NASA's Earth Imagery and Assets API and the
 Earth Observatory Natural Event Tracker (EONET) webservice.

Package: r-cran-nasapower
Architecture: all
Version: 4.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-crul, r-cran-lubridate, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-yyjsonr
Suggests: r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-nasapower_4.2.5-1.ca2004.1_all.deb
Size: 256668
MD5sum: 02794d2f15e2405a157e8a24f7f1dd40
SHA1: 54870b1a491cd7c79713692e887276f0602c8cc8
SHA256: 21fb4a65f02e7df66feb5634b42a0337dbdd824c0623f298a758225a7f60129d
SHA512: 27c32c56937bdf3c774fb794759270d6a2733160713fe913ccdb010b87fa43ecac38b4098613dfe504a4c5ed4a650ca6afbee7eeb49f21a1e7e6f60295821394
Homepage: https://cran.r-project.org/package=nasapower
Description: CRAN Package 'nasapower' (NASA POWER API Client)
 An API client for NASA POWER global meteorology, surface solar energy and
 climatology data API.  POWER (Prediction Of Worldwide Energy Resources) data
 are freely available for download with varying spatial resolutions dependent
 on the original data and with several temporal resolutions depending on the
 POWER parameter and community.  This work is funded through the NASA Earth
 Science Directorate Applied Science Program.  For more on the data
 themselves, the methodologies used in creating, a web-based data viewer and
 web access, please see <https://power.larc.nasa.gov/>.

Package: r-cran-nasaweather
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nasaweather_0.1.1-1.ca2004.1_all.deb
Size: 429176
MD5sum: c862247bda3d1f15016c1c95a7f90f70
SHA1: a9220050366e443212a902515bd0b9aaf6e82f22
SHA256: 2b0ecf75315f43f5570d1c885dbdf4e2d1ae16d3cb947a0944e856938100a258
SHA512: 58c8fd31f015342136fcd4c7b589ee58e264d3905736941601f6901570b702b32647e96282620dbf4e3c7d9c41f835dfcfef5a12cd998e73b37f8f122d57900e
Homepage: https://cran.r-project.org/package=nasaweather
Description: CRAN Package 'nasaweather' (Collection of Datasets from the ASA 2006 Data Expo)
 Tidied data from the ASA 2006 data expo, as well as a number of useful other
 related data sets.

Package: r-cran-nascar.data
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1973
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringdist, r-cran-stringr
Suggests: r-cran-roxygen2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-nascar.data_2.2.2-1.ca2004.1_all.deb
Size: 1900124
MD5sum: cafd392232a14ce32fe7004342b91318
SHA1: f147a51cdf6ced4543a0978b5388551e6d7b1f7f
SHA256: 3052c320352b1fa45d90c0591a46f7c73ad65b89b2feedbb8d1f70487112c97c
SHA512: 99e8518242f0c02a759719d8ab87a449302e58ce5ff6d16243ebe64d81e41a5f3cd18fad12a69e91b59ce025ddb7f07e95928db6d7a4e5f06219f8bb4bad280a
Homepage: https://cran.r-project.org/package=nascaR.data
Description: CRAN Package 'nascaR.data' (NASCAR Race Data)
 A collection of NASCAR race, driver, owner and manufacturer data across the
 three major NASCAR divisions: NASCAR Cup Series, NASCAR Xfinity Series, and
 NASCAR Craftsman Truck Series. The curated data begins with the 1949 season
 and extends through the end of the 2024 season. Explore race, season, or
 career performance for drivers, teams, and manufacturers throughout NASCAR's
 history. Data was sourced with permission from DriverAverages.com.

Package: r-cran-nasdaqdatalink
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xts, r-cran-httr, r-cran-zoo, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-timeseries
Filename: pool/dists/focal/main/r-cran-nasdaqdatalink_1.0.0-1.ca2004.1_all.deb
Size: 71600
MD5sum: b542427b15b97c98f77c2b102691feb1
SHA1: 25c89b8112c950009d261eaf715fec83a54645ba
SHA256: bf6aa95f1dd66d3769538309c3dc041316ad9ab4add33b36285a628edd174f21
SHA512: 5b7edb39c3deb0851a73a78b9fde5eb3e5cd61e818708fb79a3dde95b502fe4aa443c2fa67abfb37ad201a1121d3d0c7cec38dc0ef1247b58cd981ec36691980
Homepage: https://cran.r-project.org/package=NasdaqDataLink
Description: CRAN Package 'NasdaqDataLink' (API Wrapper for Nasdaq Data Link)
 Functions for interacting directly with the Nasdaq Data Link API to offer
 data in a number of formats usable in R, downloading a zip with all data
 from a Nasdaq Data Link database, and the ability to search. This R package
 uses the Nasdaq Data Link API. For more information go to
 <https://docs.data.nasdaq.com/>. For more help on the package itself go to
 <https://data.nasdaq.com/tools/r>.

Package: r-cran-naspaclust
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-rdist, r-cran-stabledist, r-cran-beepr
Suggests: r-cran-ppclust, r-cran-cluster, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-naspaclust_0.2.2-1.ca2004.1_all.deb
Size: 231692
MD5sum: 57807f5ab17b339b5fbd3b6a26edc54e
SHA1: d76359e2ed66b552f202fe0c772b881161ce02e3
SHA256: bc0f9ae81ce653b36c9a9b6d9ec09eb9b9197261b0f746208937642e6e7c758e
SHA512: f02842f45b3694d0bfd7edd02feb9347bf2243d07020b6f681fae32d416213fbada4529690188b5384fbde3848c0aaa1dbbbf0dadf7e003e5021a81353c23de6
Homepage: https://cran.r-project.org/package=naspaclust
Description: CRAN Package 'naspaclust' (Nature-Inspired Spatial Clustering)
 Implement and enhance the performance of spatial fuzzy clustering using
 Fuzzy Geographically Weighted Clustering with various optimization
 algorithms, mainly from Xin She Yang (2014) <ISBN:9780124167438> with book
 entitled Nature-Inspired Optimization Algorithms. The optimization algorithm
 is useful to tackle the disadvantages of clustering inconsistency when using
 the traditional approach. The distance measurements option is also provided
 in order to increase the quality of clustering results. The Fuzzy
 Geographically Weighted Clustering with nature inspired optimisation
 algorithm was firstly developed by Arie Wahyu Wijayanto and Ayu Purwarianti
 (2014) <doi:10.1109/CITSM.2014.7042178> using Artificial Bee Colony
 algorithm.

Package: r-cran-nat.nblast
Architecture: all
Version: 1.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl, r-cran-nat, r-cran-nabor, r-cran-dendroextras, r-cran-plyr, r-cran-spam
Suggests: r-cran-spelling, r-cran-bigmemory, r-cran-ff, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nat.nblast_1.6.7-1.ca2004.1_all.deb
Size: 374280
MD5sum: 99aa1379788c259c02ac958286fe3212
SHA1: 3e594e93ff0329afc0e46e1c459cdddc0e67fc92
SHA256: 148048beff7c1a9fe0cecb892272945768501a12917493ab7db7878338c58fcb
SHA512: 6c26471b98e603b55c7d85be417b55964dd6be80ce6880ea748f3e5426c9fe8b5cdbc19e50b5a24153086fbef390721871b2ee1932cfc50d99d35ff87865d8a5
Homepage: https://cran.r-project.org/package=nat.nblast
Description: CRAN Package 'nat.nblast' (NeuroAnatomy Toolbox ('nat') Extension for Assessing NeuronSimilarity and Clustering)
 Extends package 'nat' (NeuroAnatomy Toolbox) by providing a collection of
 NBLAST-related functions for neuronal morphology comparison (Costa et al.
 (2016) <doi: 10.1016/j.neuron.2016.06.012>).

Package: r-cran-nat.templatebrains
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nat, r-cran-rgl, r-cran-digest, r-cran-igraph, r-cran-memoise, r-cran-rappdirs, r-cran-morpho
Suggests: r-cran-spelling, r-cran-git2r, r-cran-nabor, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nat.templatebrains_1.1-1.ca2004.1_all.deb
Size: 163260
MD5sum: 6363d0f0ba28dff07324bf34a3c93058
SHA1: 7da9f356902f82a6d28cc5a4bfd85872180263b8
SHA256: d707dbf47aab75940a2c39887ba5bf8be4bf36ba655fa417835d861fa4132541
SHA512: 4643ecb5dccf59327e8c4493921bc4021307821b208241a5386df7388b6a2b53d5e9abc179e379f9596bd2f695f0a7d09844b68e807df5388a9e093cbeff491d
Homepage: https://cran.r-project.org/package=nat.templatebrains
Description: CRAN Package 'nat.templatebrains' (NeuroAnatomy Toolbox ('nat') Extension for Handling TemplateBrains)
 Extends package 'nat' (NeuroAnatomy Toolbox) by providing objects and
 functions for handling template brains.

Package: r-cran-nat.utils
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nat.utils_0.6.1-1.ca2004.1_all.deb
Size: 84052
MD5sum: c1130c1176a9921ec88aec736d162213
SHA1: 73b9d62153acdb7c50542490c1a0b410883c07fd
SHA256: b7240dae02e4dcb69fa8cf438b36d9dee4bebafe57725acc5f980c24a09ba007
SHA512: 3542e44eeac9e1acf8df72db5a5ef78e277e26c8f59754c868a46d51063d6ed62c37aa93a2ab66475467f60b30069ea5ef433515a69f5207e92fc3d885b57a02
Homepage: https://cran.r-project.org/package=nat.utils
Description: CRAN Package 'nat.utils' (File System Utility Functions for 'NeuroAnatomy Toolbox')
 Utility functions that may be of general interest but are specifically
 required by the 'NeuroAnatomy Toolbox' ('nat').  Includes functions to
 provide a basic make style system to update files based on timestamp
 information, file locking and 'touch' utility. Convenience functions for
 working with file paths include 'abs2rel', 'split_path' and 'common_path'.
 Finally there are utility functions for working with 'zip' and 'gzip' files
 including integrity tests.

Package: r-cran-nat
Architecture: all
Version: 1.8.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3296
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgl, r-cran-nabor, r-cran-igraph, r-cran-filehash, r-cran-digest, r-cran-nat.utils, r-cran-plyr, r-cran-yaml
Suggests: r-cran-rvcg, r-cran-testthat, r-cran-httr, r-cran-xml, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-mass, r-cran-alphashape3d, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-nat_1.8.24-1.ca2004.1_all.deb
Size: 2622196
MD5sum: bdbcc891d87b441ae1c68fc0cd2eef43
SHA1: 60a9c5791d7bf67c9255e95426f73d3af318724e
SHA256: 60a530330146d2d421dc5419179db2fbcc88085df4de63232ebddb7f0e5a7749
SHA512: 07333b661d31acd662d8d12fe599b832e5440cecac6a9e8502abd6ba4ef49e263dfe96e24c1488d2bd80f562c883b4cb10f34ededee5e0e6439d300878e283de
Homepage: https://cran.r-project.org/package=nat
Description: CRAN Package 'nat' (NeuroAnatomy Toolbox for Analysis of 3D Image Data)
 NeuroAnatomy Toolbox (nat) enables analysis and visualisation of 3D
 biological image data, especially traced neurons. Reads and writes 3D images
 in NRRD and 'Amira' AmiraMesh formats and reads surfaces in 'Amira' hxsurf
 format. Traced neurons can be imported from and written to SWC and 'Amira'
 LineSet and SkeletonGraph formats. These data can then be visualised in 3D
 via 'rgl', manipulated including applying calculated registrations, e.g.
 using the 'CMTK' registration suite, and analysed. There is also a simple
 representation for neurons that have been subjected to 3D skeletonisation
 but not formally traced; this allows morphological comparison between
 neurons including searches and clustering (via the 'nat.nblast' extension
 package).

Package: r-cran-natmanager
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gh, r-cran-remotes, r-cran-pak, r-cran-usethis, r-cran-curl, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-mockery, r-cran-rstudioapi, r-cran-covr, r-cran-spelling, r-cran-rappdirs
Filename: pool/dists/focal/main/r-cran-natmanager_0.5.1-1.ca2004.1_all.deb
Size: 33976
MD5sum: b441dc2cea70bfac5ddba1a59f29cd43
SHA1: caea5406c14c2ea7282a08425283eadaabd40235
SHA256: cba279d8dbd059e04481d06b86cb1253dc8765561424317cd3f6a7d411b1de70
SHA512: 2ea0f537f3704ef85d0436ae7b77d35749d3e520b78be0937b02924545836777df8035bfcb624c46fde7fbb01043c405b8d032f2e6ce70680687d2b922dd0df2
Homepage: https://cran.r-project.org/package=natmanager
Description: CRAN Package 'natmanager' (Install the 'Natverse' Packages from Scratch)
 Provides streamlined installation for packages from the 'natverse', a suite
 of R packages for computational neuroanatomy built on top of the 'nat'
 'NeuroAnatomy Toolbox' package. Installation of the complete 'natverse'
 suite requires a 'GitHub' user account and personal access token
 'GITHUB_PAT'. 'natmanager' will help the end user set this up if necessary.

Package: r-cran-natparkspalettes
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-natparkspalettes_0.2.0-1.ca2004.1_all.deb
Size: 54736
MD5sum: b21244acfd49c08ae4501b58e3f2503f
SHA1: f82362a803c66b97962d13f8dc6861a5cdc77a34
SHA256: 729d61b8abddb18473b4921d1a213dc692055d396428babe911f9eb8e19c910b
SHA512: 21f6acbf6abf8f22f00038a4ca17247d059f76637024421dc75930d3ba6f1082e83b966d51a783470ae22ae4e8c7b166625a471a5af0b801f8824a9e75611401
Homepage: https://cran.r-project.org/package=NatParksPalettes
Description: CRAN Package 'NatParksPalettes' (Color Palettes Inspired by National Parks)
 Color palettes for data visualization inspired by National Parks. Currently
 contains 15 color schemes and checks for colorblind-friendliness of
 palettes.

Package: r-cran-natserv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-natserv_1.0.0-1.ca2004.1_all.deb
Size: 141560
MD5sum: 68d67dff34c973bc048d639dca03fa42
SHA1: becf49784008cfc835d87726e494782106d19452
SHA256: c950c0566a714a3a23c31836958628a6cf315e27f30645c922ad2582097fdd6b
SHA512: 67b62b49f0723f307ca30fd13f15401769cd75f1bf2555abe743e68c6b7e6334d1d08797952335c8a74f6fd4787b3c2b8dc8cea242d0fa18cccdad37a5e51508
Homepage: https://cran.r-project.org/package=natserv
Description: CRAN Package 'natserv' ('NatureServe' Interface)
 Interface to 'NatureServe' (<https://www.natureserve.org/>).  Includes
 methods to get data, image metadata, search taxonomic names, and make maps.

Package: r-cran-natstrat
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-rglpk, r-cran-plyr, r-cran-pps, r-cran-sampling, r-cran-ggplot2, r-cran-rlang, r-cran-ramify, r-cran-slam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-cran-dt, r-cran-stringr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-natstrat_2.0.0-1.ca2004.1_all.deb
Size: 497180
MD5sum: 53312a2f465d86595b20c7d4c9ef40eb
SHA1: c169008a259d5e5472db780d1756586a7a52f250
SHA256: 3744698c49b8b508a0d1b471da013c917dcc2a4627abe670f1faf471e4593909
SHA512: 6660ae6c13463693be5b355a5bbaa669450380c4052d779f6b943dbedaeb80472929db9e2e8b6f40220a2aaf19b23c03c7df9e07b87efd7bcedf9614dbcd0975
Homepage: https://cran.r-project.org/package=natstrat
Description: CRAN Package 'natstrat' (Obtain Unweighted Natural Strata that Balance Many Covariates)
 Natural strata can be used in observational studies to balance the
 distributions of many covariates across any number of treatment groups and
 any number of comparisons. These strata have proportional amounts of units
 within each stratum across the treatments, allowing for simple
 interpretation and aggregation across strata. Within each stratum, the units
 are chosen using randomized rounding of a linear program that balances many
 covariates.  To solve the linear program, the 'Gurobi' commercial
 optimization software is recommended, but not required. The 'gurobi' R
 package can be installed following the instructions at
 <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

Package: r-cran-naturalist
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1605
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinywidgets, r-cran-dplyr, r-cran-stringr, r-cran-sp, r-cran-raster, r-cran-shinydashboard, r-cran-leaflet, r-cran-leaflet.extras, r-cran-tidytext, r-cran-magrittr, r-cran-vegan, r-cran-fasterize, r-cran-sf, r-cran-htmltools, r-cran-rlang, r-cran-tm, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rnaturalearth, r-cran-lwgeom, r-cran-shinylp
Filename: pool/dists/focal/main/r-cran-naturalist_0.5.2-1.ca2004.1_all.deb
Size: 1335584
MD5sum: 8df1c8a3dec88a9cfe3c9058534db533
SHA1: f7479c622f79659e0797abb9feeb98b3131e796e
SHA256: 3736f3759a65143e4d7575fad9233580403787dba1e4af97f7912207a5981a9b
SHA512: 9373e18ca3eec6290d2bf1d468c0cbff9b7cf3eb0cb903bb7427a8e8fe7a4af8b75a126858e18e41a2a6fffae216cef785faa2fe7fa14ea88ed27b3fa69a7688
Homepage: https://cran.r-project.org/package=naturaList
Description: CRAN Package 'naturaList' (Classify Occurrences by Confidence Levels in the Species ID)
 Classify occurrence records based on confidence levels of species
 identification. In addition, implement tools to filter occurrences inside
 grid cells and to manually check for possibles errors with an interactive
 shiny application.

Package: r-cran-naturalsort
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-naturalsort_0.1.3-1.ca2004.1_all.deb
Size: 16464
MD5sum: 0c693aa49e4158706e8731473ea2b69b
SHA1: 9d1d76fa644d3fe76095d9d3871e124de6834985
SHA256: bb4b695c09b3645b8a8a8626c6269b7ca4f08a3b022dbedcea8c06efaebf06b5
SHA512: 30f5bbc194cff5bc0a8fa3ddade566b1e17bee60af2238bb4a66b2d474a3b5b5a5a750fbb43131d8c4423b4e7f468e226ede1a95b0dc489b6d0231a58d851271
Homepage: https://cran.r-project.org/package=naturalsort
Description: CRAN Package 'naturalsort' (Natural Ordering)
 Provides functions related to human natural ordering.  It handles adjacent
 digits in a character sequence as a number so that natural sort function
 arranges a character vector by their numbers, not digit characters. It is
 typically seen when operating systems lists file names. For example, a
 sequence a-1.png, a-2.png, a-10.png looks naturally ordered because 1 < 2 <
 10 and natural sort algorithm arranges so whereas general sort algorithms
 arrange it into a-1.png, a-10.png, a-2.png owing to their third and fourth
 characters.

Package: r-cran-naturesounds
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-tuner
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-naturesounds_1.0.5-1.ca2004.1_all.deb
Size: 4865580
MD5sum: 3d2648b061054ebb9c5da52fadf17414
SHA1: 87d984f44459dfacc840867c558f5bec241542b6
SHA256: 95648d3a8defa728506c3e9de47b101ad3ed0155f95cc80246a68dd1b687b7b0
SHA512: 3ec381d24cd6b1f2a0ca54de251b9920dd5a31caacc074438dcefbad5885bb61ee474df054ff99a9ff51c746869e3d3f07ba8c23489bb346991f6ede865c36c9
Homepage: https://cran.r-project.org/package=NatureSounds
Description: CRAN Package 'NatureSounds' (Animal Sounds for Bioacustic Analysis)
 Collection of example animal sounds for bioacoustic analysis.

Package: r-cran-navigatr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-lifecycle, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stickyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-navigatr_0.2.1-1.ca2004.1_all.deb
Size: 50596
MD5sum: 097e7e0be6d9d24a70674ecf7ae665d3
SHA1: 7a993f55cc233c8f95f31663aa650dabc1bde3b5
SHA256: ac40fd77104283b81eecca79876239db1c56bd1d4fe06d330e435de9c803f187
SHA512: e9adfc272d80bc3639163f1217fbefbde0f3dd8d41c226171b57c6761f07522404b9cd366436ef5b0ddd3ab3bf5016b242abc10a54a532831b32076c6ec2d8b5
Homepage: https://cran.r-project.org/package=navigatr
Description: CRAN Package 'navigatr' (Navigation Menu for Pipe-Friendly Data Processing)
 Provides a navigation menu to enable pipe-friendly data processing for
 hierarchical data structures.  By activating the menu items, you can perform
 operations on each item while maintaining the overall structure in
 attributes.

Package: r-cran-nawtilus
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-hypergeo, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nawtilus_0.1.4-1.ca2004.1_all.deb
Size: 164688
MD5sum: 3bf6f1e7c7317fc56ae21698606cfa4f
SHA1: 27ce7e610677ae39c3abb7a422f34539017009b6
SHA256: 4e9ee74786bd9b50bbc8e8c60620c71efde61866be7679bbe23c57bce0a3dd73
SHA512: 61928b6b1acfd159db55b05206150c067ec671954c34e963f52af3c28429e3652e67776226a59693f8e30428795f138bde45ffe9fc725a364fd6eb2d62e5ccac
Homepage: https://cran.r-project.org/package=nawtilus
Description: CRAN Package 'nawtilus' (Navigated Weighting for the Inverse Probability Weighting)
 Implements the navigated weighting (NAWT) proposed by Katsumata (2020)
 <arXiv:2005.10998>, which improves the inverse probability weighting by
 utilizing estimating equations suitable for a specific pre-specified
 parameter of interest (e.g., the average treatment effects or the average
 treatment effects on the treated) in propensity score estimation. It
 includes the covariate balancing propensity score proposed by Imai and
 Ratkovic (2014) <doi:10.1111/rssb.12027>, which uses covariate balancing
 conditions in propensity score estimation. The point estimate of the
 parameter of interest as well as coefficients for propensity score
 estimation and their uncertainty are produced using the M-estimation. The
 same functions can be used to estimate average outcomes in missing outcome
 cases.

Package: r-cran-nb.mclust
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nb.mclust_1.1.1-1.ca2004.1_all.deb
Size: 38520
MD5sum: a7e28e895781fa89a2d04feb3521c74d
SHA1: 3054c59e6bf1ff5dd7da6102b81b409059c17dd9
SHA256: 897ce28722eaf3ba31aa675f23d7fb8548c84aa5d93390c943937a68faace7ba
SHA512: 62a3ae09e78ef6238703377376205db1984c818bb2f930fd9b0945b58c74022defe1a5f063aec897401ffdef03326bbcb3daec70ee238591e5ec10d045f68042
Homepage: https://cran.r-project.org/package=NB.MClust
Description: CRAN Package 'NB.MClust' (Negative Binomial Model-Based Clustering)
 Model-based clustering of high-dimensional non-negative data that follow
 Generalized Negative Binomial distribution. All functions in this package
 applies to either continuous or integer data. Correlation between variables
 are allowed, while samples are assumed to be independent.

Package: r-cran-nb
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nb_0.9-1.ca2004.1_all.deb
Size: 39868
MD5sum: de524ccf28d3545e3b2017ac60a3407a
SHA1: 8d3f53b2a322a866c9b23c6e6d3da5d4aa2bc82e
SHA256: 14475c17d9ae697005e1f892dae10647c0671bbb94e66e071d5340f3c505e1ce
SHA512: 68ce72b659e75e0170c6a4795a87ec60751b425afcd41fac091df67362b6023e70d6258b98cec89e1bff332ecbe322bb84f75a63a0dc1834fb8b663f4abf8ec4
Homepage: https://cran.r-project.org/package=NB
Description: CRAN Package 'NB' (Maximum Likelihood method in estimating effective populationsize from genetic data)
 Estimate the effective population size of a closed population using genetic
 data collected from two or more data points.

Package: r-cran-nbalover
Architecture: all
Version: 0.1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 359
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plyr, r-cran-rvest, r-cran-stringr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-nbalover_0.1.3.3-1.ca2004.1_all.deb
Size: 317704
MD5sum: dbd8f0a70e9d48cdba562e8a86b22b92
SHA1: 11e1306d9f0b17b97b0504da4c60615ee9db3da1
SHA256: 39087be49f6d8aabc44d07fe116f7d31707ac137a4fd0058b01a6c24b51a929b
SHA512: ea4fbc6ed21f91818d934984d32a78638b94ed8d1d784a1e785cf244f45019c64f34c53b230f314379087420b0f11ece398d6c3cc71849f1c76b9948532e7bc0
Homepage: https://cran.r-project.org/package=NBAloveR
Description: CRAN Package 'NBAloveR' (Help Basketball Data Analysis)
 Provides interface to the online basketball data resources such as
 Basketball reference API <https://www.basketball-reference.com/> and helps R
 users analyze basketball data.

Package: r-cran-nbapalettes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-nbapalettes_0.1.0-1.ca2004.1_all.deb
Size: 119684
MD5sum: 18be5752c746161cdf84c6bbc21144f6
SHA1: 557107c5110239a3b2f184b2d7bc277093a88f32
SHA256: f3c12d4caef326cee3204214063259a527bac0c8c955e9e0fd8f9b1729b39cfc
SHA512: c7aa7efcf4fbc1a50e33b18320c00e1243cb0db41d211848f79b226a9b5b2a43afca0c8d8ff596ab1dbad8993766581f65d2f46a566272695f3b85ff5ca41eb8
Homepage: https://cran.r-project.org/package=nbapalettes
Description: CRAN Package 'nbapalettes' (An NBA Jersey Palette Generator)
 Palettes generated from NBA jersey colorways.

Package: r-cran-nbbdesigns
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nbbdesigns_1.1.0-1.ca2004.1_all.deb
Size: 65700
MD5sum: 03212e1ba2819121a3c2721ca167468a
SHA1: 2ae29432fa2eff45f55f557534624f329b1f0d65
SHA256: 80f0924aa478b5722c27875c10d5ccf85cf0261ee5159e40186cc430b8893b0c
SHA512: 9474667447ee0e46d0496f75746de493e8bc8a3036f8bac069f77b61b30b4895cb23d0eb3331cb19f831224505513341928f6f0aa654366190544909c7b61e8f
Homepage: https://cran.r-project.org/package=NBBDesigns
Description: CRAN Package 'NBBDesigns' (Neighbour Balanced Block Designs (NBBDesigns))
 Neighbour-balanced designs ensure that no treatment is disadvantaged
 unfairly by its surroundings. The treatment allocation in these designs is
 such that every treatment appears equally often as a neighbour with every
 other treatment. Neighbour Balanced Designs are employed when there is a
 possibility of neighbour effects from treatments used in adjacent
 experimental units. In the literature, a vast number of such designs have
 been developed. This package generates some efficient neighbour balanced
 block designs which are balanced and partially variance balanced for
 estimating the contrast pertaining to direct and neighbour effects, as well
 as provides a function for analysing the data obtained from such trials
 (Azais, J.M., Bailey, R.A. and Monod, H. (1993). "A catalogue of efficient
 neighbour designs with border plots". Biometrics, 49, 1252-1261 ; Tomar, J.
 S., Jaggi, Seema and Varghese, Cini (2005)<DOI:
 10.1080/0266476042000305177>. "On totally balanced block designs for
 competition effects"). This package contains functions named
 nbbd1(),nbbd2(),nbbd3(),pnbbd1() and pnbbd2() which generates neighbour
 balanced block designs within a specified range of number of treatment (v).
 It contains another function named anlys()for performing the analysis of
 data generated from such trials.

Package: r-cran-nbbttest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3576
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gplots, r-cran-gtools
Suggests: r-bioc-biocgenerics, r-bioc-dexseq
Filename: pool/dists/focal/main/r-cran-nbbttest_1.0.1-1.ca2004.1_all.deb
Size: 2679912
MD5sum: aaaa44f96c4d545b90b1541aab9a05bf
SHA1: 49b98e49533faa263a1bab7ce96d84c16aaf4118
SHA256: 4d5ca8bf94bd7ca6ff4e17e30fee0825e4a7d520e23570a00dd068e057157b1f
SHA512: 1ed74574d4bac476328c49a0000f8cd8d4a48a469568e739c05c3bcf948063e0070d6e6b3f14a5b1e1b3f9e5667dbb9b9559b119d6b735db48a4cfcdb13ea4ac
Homepage: https://cran.r-project.org/package=NBBttest
Description: CRAN Package 'NBBttest' (Negative Binomial Beta t-Test)
 We constructed 'NBBttest' for identifying genes or RNA isoforms
 differentially expressed between two conditions on RNA-seq count data.
 Package 'NBBttest' can perform data quality check, data normalization,
 differential analysis, annotation and graphic analysis. In differential
 analysis, 'NBBttest' can identify differentially expressed genes and
 differential RNA isoforms in alternative splicing sites and alternative
 polyadenylation sites, differential sgRNA, and differential CRISPR
 (clustered regularly interspaced short palindromic repeats) screening genes.
 In graphic analysis, 'NBBttest' provides two types of heatmaps to visualize
 differential expression at gene or isoform level using z-score and n-score
 and creates pathway heatmap. 'NBBttest' can plot differentially expressed
 exons within a specified gene. In addition, 'NBBttest' provides a tool for
 annotation of genes and exons. The methods used in 'NBBttest' were new
 statistical methods developed from Tan and others (2015)
 <doi:10.1371/journal.pone.0123658>. The statistical methods are robust and
 very powerful in identifying genes or RNA isoforms differentially expressed
 between two conditions in small samples.

Package: r-cran-nbc4va
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nbc4va_1.2-1.ca2004.1_all.deb
Size: 353812
MD5sum: 99d65e87da7822f309f6be9ef2ae5e8b
SHA1: 2d6929918653d2a8bccada6e8374a78635cbca66
SHA256: ffea82e0e9c77ef51c670a0eebbc46a801d566bfa6c815f2ca61dd42875063af
SHA512: 153a9fc83581ef7ff040bc3618e1fd1342115ceee0fb284070a5436a390baaeaae32a0b8033275a9016abb03ce5ca027c841c3d6b632fbb1bd083af13b7f10f6
Homepage: https://cran.r-project.org/package=nbc4va
Description: CRAN Package 'nbc4va' (Bayes Classifier for Verbal Autopsy Data)
 An implementation of the Naive Bayes Classifier (NBC) algorithm used for
 Verbal Autopsy (VA) built on code from Miasnikof et al (2015)
 <DOI:10.1186/s12916-015-0521-2>.

Package: r-cran-nbclust
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nbclust_3.0.1-1.ca2004.1_all.deb
Size: 121352
MD5sum: f7bcbfee95bc350aec055526722c15db
SHA1: d36e6bd1f8bf0d138605ddcd254aed4295aeefe3
SHA256: 1a2e71d64aa945c99e201fc90df0c770ff4315f3036969826726dde092d406c9
SHA512: 861021570f98fc9041eedc513fdb4160aec1587eae0ff004e72edba0b7603d4fc7be24ef542fc45caf2fb3e4aa7eaf14f4d863bcfb910260149ce249b26ac07c
Homepage: https://cran.r-project.org/package=NbClust
Description: CRAN Package 'NbClust' (Determining the Best Number of Clusters in a Data Set)
 It provides 30 indexes for determining the optimal number of clusters in a
 data set and offers the best clustering scheme from different results to the
 user.

Package: r-cran-nbconv
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-nbconv_1.0.1-1.ca2004.1_all.deb
Size: 45048
MD5sum: 94a9e3580cb3dc3bbbc20f8a2ef64993
SHA1: 32657e36cafe22ed9444fc077854fd1f64be369c
SHA256: 6dd9de90d3005f551cea11dda605093a55c93cb71de8cfa947be8e9a30b2fd3a
SHA512: dacf93cc098530d54fbea28a6ebbc039adfaa7685ab99beab65789aae373c13178580920d08e0b2aa5c4221dc109711dc96dfc74e1d9d921da847a8aa5d3cc40
Homepage: https://cran.r-project.org/package=nbconv
Description: CRAN Package 'nbconv' (Evaluate Arbitrary Negative Binomial Convolutions)
 Three distinct methods are implemented for evaluating the sums of arbitrary
 negative binomial distributions. These methods are: Furman's exact
 probability mass function (Furman (2007) <doi:10.1016/j.spl.2006.06.007>),
 saddlepoint approximation, and a method of moments approximation. Functions
 are provided to calculate the density function, the distribution function
 and the quantile function of the convolutions in question given said
 evaluation methods. Functions for generating random deviates from negative
 binomial convolutions and for directly calculating the mean, variance,
 skewness, and excess kurtosis of said convolutions are also provided.

Package: r-cran-nbconvertr
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nbconvertr_1.3.2-1.ca2004.1_all.deb
Size: 20872
MD5sum: be2644bd33c86be7ea4b05e9932e1c57
SHA1: 9542a69bfcc82b6962ce63f17770d5b880e38377
SHA256: 9f44dd8a7030431a856aa2e1e59b9a730ff9a45f480e86a7313ac62186aef58c
SHA512: 794821a71aea12342959960c6aa7f29f1c0bf1da0a570a010598d88b6316678fdd7ae0c949e8ea2326b19e0930781410d6deb5ba668804bcb3dea4f3e094ebe9
Homepage: https://cran.r-project.org/package=nbconvertR
Description: CRAN Package 'nbconvertR' (Vignette Engine Wrapping Jupyter Notebooks)
 Calls the 'Jupyter' script 'nbconvert' to create vignettes from notebooks.
 Those notebooks ('.ipynb' files) are files containing rich text, code, and
 its output. Code cells can be edited and evaluated interactively.  See
 <https://jupyter.org/> for more information.

Package: r-cran-nbddirichlet
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nbddirichlet_1.4-1.ca2004.1_all.deb
Size: 212160
MD5sum: 1a913b210dbfe671fde8f1bb1d25ad02
SHA1: 12b625c9901041a795421c95da54d470693dc7c5
SHA256: b3c4dd689ea1824241d274f4a9e3f42c07b02d543dc2c7a2b5aca794c5fb6a58
SHA512: cbf79a2ae63ca884aef28dfdddcde3125057f8d6eb545f595975a445f12f244352cec9b528865c06f03483f05e2e9fded39c3e709705ecf66cbb64eecd6d0ac3
Homepage: https://cran.r-project.org/package=NBDdirichlet
Description: CRAN Package 'NBDdirichlet' (NBD-Dirichlet Model of Consumer Buying Behavior for MarketingResearch)
 The Dirichlet (aka NBD-Dirichlet) model describes the purchase incidence and
 brand choice of consumer products.  We estimate the model and summarize
 various theoretical quantities of interest to marketing researchers. Also
 provides functions for making tables that compare observed and theoretical
 statistics.

Package: r-cran-nbdesign
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pweall, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nbdesign_2.0.0-1.ca2004.1_all.deb
Size: 53420
MD5sum: 374c48ae7f17f2af68961a1ff96d1ef3
SHA1: 1ae30acdb93dcf4e6456dbbe47bdb7b0e58ad87d
SHA256: c7bd4cb8a26808aa9ebe4dd07e77c88327a30dc537524d76096d8bc72af716d7
SHA512: 09229d81a9604277de21e40b2378e5ac780fba233862771a3008e779effdb72baef972c15d3d414f376b476ff108861f90497a6ca07822f384d2ea88feeaa660
Homepage: https://cran.r-project.org/package=NBDesign
Description: CRAN Package 'NBDesign' (Design and Monitoring of Clinical Trials with Negative BinomialEndpoint)
 Calculate various functions needed for design and monitoring clinical trials
 with negative binomial endpoint with variable follow-up. This version has a
 few changes compared to the previous version 1.0.0, including (1) correct a
 typo in Type 1 censoring, mtbnull=bnull and (2) restructure the code to
 account for shape parameter equal to zero, i.e. Poisson scenario.

Package: r-cran-nberwp
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1548
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nberwp_1.2.0-1.ca2004.1_all.deb
Size: 1451216
MD5sum: 51c8b65dc683d2989a3741bfe08215c9
SHA1: aad9813e5878a0bf6aa61a574856ffa12ba1c7cc
SHA256: acdac22a1bc69543328c422011796dce5501718526c9e67305a4f6f90975d30b
SHA512: ceb6baff911d98d8e820cc7bb5cf8bc9ffacaba018db9e543a1fde000b2bfa9428cb97aed18fcbe3fe66a93292af64feaba96462469cf39797513f055add083e
Homepage: https://cran.r-project.org/package=nberwp
Description: CRAN Package 'nberwp' (NBER Working Papers)
 Catalogue of NBER working papers published between June 1973 and December
 2021.

Package: r-cran-nblda
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-poiclaclu, r-bioc-sseq
Filename: pool/dists/focal/main/r-cran-nblda_1.0.1-1.ca2004.1_all.deb
Size: 347692
MD5sum: 8d17d1b68183bf309f0ea84eddabb7e7
SHA1: 29a5516b729e07fba19e0a709a4aca6fbc9c5cba
SHA256: ca54e63ee5a472db1e773f1e075ec458e4d01bfc9645b7e8189fcdab5cceb4ce
SHA512: 2162318ada51ea05153f6fb025b811d693ed43f4d1109459d823525604a29b9ff9e90d80d9c61e2504acd28bb63a75b7071b20c544d44d8bdbe0d7d78fbb4057
Homepage: https://cran.r-project.org/package=NBLDA
Description: CRAN Package 'NBLDA' (Negative Binomial Linear Discriminant Analysis)
 We proposed a package for the classification task which uses Negative
 Binomial distribution within Linear Discriminant Analysis (NBLDA). It is an
 extension of the 'PoiClaClu' package to Negative Binomial distribution. The
 classification algorithms are based on the papers Dong et al. (2016, ISSN:
 1471-2105) and Witten, DM (2011, ISSN: 1932-6157) for NBLDA and PLDA,
 respectively. Although PLDA is a sparse algorithm and can be used for
 variable selection, the algorithm proposed by Dong et al. is not sparse.
 Therefore, it uses all variables in the classifier. Here, we extend Dong et
 al.'s algorithm to the sparse case by shrinking overdispersion towards 0 (Yu
 et al., 2013, ISSN: 1367-4803) and offset parameter towards 1 (as proposed
 by Witten DM, 2011). We support only the classification task with this
 version.

Package: r-cran-nblr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-cli
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nblr_0.0.4-1.ca2004.1_all.deb
Size: 257524
MD5sum: 00cbb1eba0b052a9a25c714096c99dd5
SHA1: 74e87a6d0e15dfe864214926672b51363d291997
SHA256: ce510e90bfb1d26d3f8318c52f3d1dfb81ac459e4de4701e345f83f2e60c8cd9
SHA512: f24f742e3ab8451deabeb310d9ad5777ff4df3a0bfa482a47207c6596dc208fa91328c7e79c873e966caaa48150add7620ddbfab225d80a727c7871ac2ebcc22
Homepage: https://cran.r-project.org/package=nblR
Description: CRAN Package 'nblR' (Data Extraction of Australian NBL Basketball Statistics)
 Allow users to obtain basketball statistics for the Australian basketball
 league 'NBL'<https://nbl.com.au/>.  Stats include play-by-play, shooting
 locations, results and box scores for teams and players.

Package: r-cran-nbr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlme
Suggests: r-cran-knitr, r-cran-lattice, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nbr_0.1.5-1.ca2004.1_all.deb
Size: 597728
MD5sum: 07b54e5dfde026e071c3ee5a114ce4e3
SHA1: cdaea63f3378982d00e90e66216fbf191062cddd
SHA256: 81a9cd66fd5eb3a53eff665e24aeab833d2382e62b3fc18ec8ecf14999e06c25
SHA512: 1282d9181ab32fc5a5b1e2b2cf7ff90f46f64098e923f1cc232e69196646c31f259f89303d4172bc1d4ab80e9fd4484f222a3dd45739724487deed684665697d
Homepage: https://cran.r-project.org/package=NBR
Description: CRAN Package 'NBR' (Network-Based R-Statistics using Mixed Effects Models)
 An implementation of network-based statistics in R using mixed effects
 models.  Theoretical background for Network-Based Statistics can be found in
 Zalesky et al. (2010) <doi:10.1016/j.neuroimage.2010.06.041>. For Mixed
 Effects Models check the R package
 <https://CRAN.R-project.org/package=nlme>.

Package: r-cran-nbshiny2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-nbshiny2_0.1.0-1.ca2004.1_all.deb
Size: 70416
MD5sum: bac1b277e1bd737c232321e9b96c2457
SHA1: bd5b6cefe7bf29cc601165e6ff44ff3309855df9
SHA256: 29275c2c8733e85259e30859f33860b4b5263974ecefc2e44e99d8df91ea31db
SHA512: 905bdd5e928d7ac2cad8da670176384ff8dab200ec9800e7bfa117eba053e9f1353289efa6ca8ba0ade44ab0882a76e1d0ea88e58827bf522bda839a97e0c22c
Homepage: https://cran.r-project.org/package=NBShiny2
Description: CRAN Package 'NBShiny2' (Interactive Document for Working with Naive Bayes Classification)
 An interactive document on the topic of naive Bayes classification analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at <https://kartikeyab.shinyapps.io/NBShiny/>.

Package: r-cran-nbshiny3
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-nbshiny3_0.1.0-1.ca2004.1_all.deb
Size: 68836
MD5sum: 89bb770547057a7cfb79c3f52d6d1798
SHA1: 02af8a8d967ea658b0e3491954b9c683f234ba0c
SHA256: c45920c5db1ff2aea6587a814642d9fa5c2a4a87eaabfd8a301a84a9c5ea0713
SHA512: 9645f450ebfe2eee4e0a1088136b62d010feeac988ddd04a609f2306d7de99b57d0a9ab52a943a691e5480108f22f60e07a7c2e6184b881d9e0aa4ea61f1f868
Homepage: https://cran.r-project.org/package=NBShiny3
Description: CRAN Package 'NBShiny3' (Interactive Document for Working with Naive Bayes Classification)
 An interactive document on the topic of naive Bayes classification analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at <https://kartikeyab.shinyapps.io/NBShiny/>.

Package: r-cran-nbshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-rhandsontable
Filename: pool/dists/focal/main/r-cran-nbshiny_0.1.0-1.ca2004.1_all.deb
Size: 70256
MD5sum: c87bd72bb8546396c187e12fb6c33922
SHA1: ca981897d5e95740df5829c84fb1032c01c99865
SHA256: f0c2b30abcb7e51508cde1cb427ea6a588e94d5b3134ed089280f3ef5c70a1b1
SHA512: 8f62d01170a2993902a3badd622a25e40cea9cb7b7931f3cb9969d56394b09a6c0692cb84e8b52b01adbb65e7531dec35855471f5c28934a17a9825f39008fdd
Homepage: https://cran.r-project.org/package=NBShiny
Description: CRAN Package 'NBShiny' (Interactive Document for Working with Naive Bayes Classification)
 An interactive document on the topic of naive Bayes classification analysis
 using 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at <https://kartikeyab.shinyapps.io/NBShiny/>.

Package: r-cran-nbtransmission
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-caret, r-cran-lubridate, r-cran-poisbinom, r-cran-tidyr, r-cran-broom
Suggests: r-cran-ggplot2, r-cran-hmisc, r-cran-igraph, r-cran-knitr, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nbtransmission_1.2.0-1.ca2004.1_all.deb
Size: 541816
MD5sum: 09be424eb4cfebad3242e0bd32f9cf49
SHA1: 2762798557e10cda21b647dbbe6dc52ad403efa2
SHA256: 50529f8a507c47ac3b915fa47fde5b018e2d2726bebed2ee835c45bc82e7e46e
SHA512: 1de6d65a68a3eb640de70f2d80ca7bf21e129b95cbe6eccdb81bacb5285efaace51b89a71586da2c0f16d5ded217bbb3d639bfe28a736b60d7e9a325babe270b
Homepage: https://cran.r-project.org/package=nbTransmission
Description: CRAN Package 'nbTransmission' (Naive Bayes Transmission Analysis)
 Estimates the relative transmission probabilities between cases in an
 infectious disease outbreak or cluster using naive Bayes. Included are
 various functions to use these probabilities to estimate transmission
 parameters such as the generation/serial interval and reproductive number as
 well as finding the contribution of covariates to the probabilities and
 visualizing results. The ideal use is for an infectious disease dataset with
 metadata on the majority of cases but more informative data such as contact
 tracing or pathogen whole genome sequencing on only a subset of cases. For a
 detailed description of the methods see Leavitt et al. (2020)
 <doi:10.1093/ije/dyaa031>.

Package: r-cran-nbtsvarsel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-mass, r-cran-mpath, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-nbtsvarsel_1.0-1.ca2004.1_all.deb
Size: 65724
MD5sum: 0ebec530c7c64e34c8d53b049a82ea51
SHA1: b53cae38c4b27656982fdaebdf74eeb55c43ec17
SHA256: 7e0bec5dfaa4c8a166b574e7d1aa353e45eef752bc5f1d8df8dd635906baea2b
SHA512: 0d5bc36fd46629eec0f55f5cea9f5faa3f32e41d72f44dcf4a9d5e361d0151dfa12ffa864789b949515a9f6a3510125989a5d0a297359dff99bb1fa3c696c2e5
Homepage: https://cran.r-project.org/package=NBtsVarSel
Description: CRAN Package 'NBtsVarSel' (Variable Selection in a Specific Regression Time Series ofCounts)
 Performs variable selection in sparse negative binomial GLARMA (Generalised
 Linear Autoregressive Moving Average) models. For further details we refer
 the reader to the paper Gomtsyan (2023), <arXiv:2307.00929>.

Package: r-cran-nc
Architecture: all
Version: 2025.3.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1421
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-re2, r-cran-stringi, r-cran-ggplot2, r-cran-tidyr, r-cran-cdata, r-cran-reshape2, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-r.utils, r-cran-covr, r-cran-arrow
Filename: pool/dists/focal/main/r-cran-nc_2025.3.24-1.ca2004.1_all.deb
Size: 575640
MD5sum: 331b245db8665a8f6ced36ecd36e27e3
SHA1: e6f39c775e9be3d134999648328b6dc43295a621
SHA256: 1b6a08a4330dd440ea5d16be00cd973129009a76b97b571acdf935acd95a2a63
SHA512: 20b9bd97bce7c5332049b0a0a0611751aa94702f7fec03bf909df93b23e25d25bccd8278065e10e3b0771cee493a46f69553972ba878c1fae9f0b9b313965396
Homepage: https://cran.r-project.org/package=nc
Description: CRAN Package 'nc' (Named Capture to Data Tables)
 User-friendly functions for extracting a data table (row for each match,
 column for each group) from non-tabular text data using regular expressions,
 and for melting columns that match a regular expression.  Patterns are
 defined using a readable syntax that makes it easy to build complex patterns
 in terms of simpler, re-usable sub-patterns.  Named R arguments are
 translated to column names in the output; capture groups without names are
 used internally in order to provide a standard interface to three regular
 expression 'C' libraries ('PCRE', 'RE2', 'ICU').  Output can also include
 numeric columns via user-specified type conversion functions.

Package: r-cran-nca
Architecture: all
Version: 4.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gplots, r-cran-quantreg, r-cran-kernsmooth, r-cran-lpsolve, r-cran-ggplot2, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-plotly, r-cran-truncnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nca_4.0.2-1.ca2004.1_all.deb
Size: 261732
MD5sum: 2a55feeba253431da4c5d54eeeb2af9b
SHA1: b31302c7ace68bf4fc4133af01be0ad257b6c1f9
SHA256: f1d0835b3271afa63f3d81f0c485aff475be4a408356db644341837033bd8ec5
SHA512: a49305fe1153336b5f5e5111b9489ca795f9280c9657d5d75e8591e568ed599f02dc011f8ad3daed9ed347e41faa9954074f177300bb88a742370dd566b75fbc
Homepage: https://cran.r-project.org/package=NCA
Description: CRAN Package 'NCA' (Necessary Condition Analysis)
 Performs a Necessary Condition Analysis (NCA). (Dul, J. 2016. Necessary
 Condition Analysis (NCA). ''Logic and Methodology of 'Necessary but not
 Sufficient' causality." Organizational Research Methods 19(1), 10-52)
 <doi:10.1177/1094428115584005>.  NCA identifies necessary (but not
 sufficient) conditions in datasets, where x causes (e.g. precedes) y.
 Instead of drawing a regression line ''through the middle of the data'' in
 an xy-plot, NCA draws the ceiling line. The ceiling line y = f(x) separates
 the area with observations from the area without observations.  (Nearly) all
 observations are below the ceiling line: y <= f(x). The empty zone is in the
 upper left hand corner of the xy-plot (with the convention that the x-axis
 is ''horizontal'' and the y-axis is ''vertical'' and that values increase
 ''upwards'' and ''to the right''). The ceiling line is a (piecewise) linear
 non-decreasing line: a linear step function or a straight line. It indicates
 which level of x (e.g. an effort or input) is necessary but not sufficient
 for a (desired) level of y (e.g. good performance or output). A quick start
 guide for using this package can be found here:
 <https://repub.eur.nl/pub/78323/> or
 <https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2624981>.

Package: r-cran-ncaavolleyballr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 793
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ncaavolleyballr_0.4.2-1.ca2004.1_all.deb
Size: 614860
MD5sum: 0b3fe00c85a854375a8fb3dc7f063472
SHA1: 365a2d8eb55c2ea09f85264ee07fc182af93e301
SHA256: bf3e13b2675b8f23f6bd629c479c74da4c6e7d4eaeb970d9073afbf9ab83f4fd
SHA512: f39f13b23335b6b9dfa251d3cb69a0a5d9a038f905ba7424c77ff9d715404854ec16e4711e00c6c43e452907cf136480dd606d3530a205310b9d816418c94a20
Homepage: https://cran.r-project.org/package=ncaavolleyballr
Description: CRAN Package 'ncaavolleyballr' (Extract Data from NCAA Women's and Men's Volleyball Website)
 Extracts team records/schedules and player statistics for the 2020-2024
 National Collegiate Athletic Association (NCAA) women's and men's divisions
 I, II, and III volleyball teams from <https://stats.ncaa.org>.  Functions
 can aggregate statistics for teams, conferences, divisions, or custom groups
 of teams.

Package: r-cran-ncappc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scales, r-cran-gtable, r-cran-knitr, r-cran-xtable, r-cran-reshape2, r-cran-dplyr, r-cran-readr, r-cran-lazyeval, r-cran-poped, r-cran-magrittr, r-cran-rlang, r-cran-purrr, r-cran-tibble, r-cran-rmarkdown, r-cran-tidyr, r-cran-ggplot2, r-cran-gridextra, r-cran-bookdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ncappc_1.0.0-1.ca2004.1_all.deb
Size: 1462820
MD5sum: d2b447234e545e6695fe651984e78093
SHA1: 0ef735467c10fda9843ec7c4e3ef12bc636a0de4
SHA256: d27f7b90c4c415ff7694487fb5a96ef8e071660c63f2304b81efefefedb4be5c
SHA512: 24102e935471ab518ee667dcaeddd7d917edd5506487d4bb9ae13e65e993edc516fd1b904bb774e01f26adda20806698a9a1828c3c3d6792ab8f87609c3b2339
Homepage: https://cran.r-project.org/package=ncappc
Description: CRAN Package 'ncappc' (NCA Calculations and Population Model Diagnosis)
 A flexible tool that can perform (i) traditional non-compartmental analysis
 (NCA) and (ii) Simulation-based posterior predictive checks for population
 pharmacokinetic (PK) and/or pharmacodynamic (PKPD) models using NCA metrics.
 The methods are described in Acharya et al. (2016)
 <doi:10.1016/j.cmpb.2016.01.013>.

Package: r-cran-ncar
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rtf, r-cran-noncompart
Filename: pool/dists/focal/main/r-cran-ncar_0.5.0-1.ca2004.1_all.deb
Size: 183224
MD5sum: 17894361ba27adf2d6d264162b58390a
SHA1: 5372adacace8cb57e27d7965cfd32afaf915ce8c
SHA256: dac58197b384b0211e9c2baf625d7c78599a117ec9ff5f5e43202f78aa93ae0e
SHA512: fe52b71e3ff35a81e0c430b78337451ed5e6476851d56a39237de39b37d61200075e1b8b383472d46cf6f82f367d538a8e5723bfdf7c159b8961a82211fc983e
Homepage: https://cran.r-project.org/package=ncar
Description: CRAN Package 'ncar' (Noncompartmental Analysis for Pharmacokinetic Report)
 Conduct a noncompartmental analysis with industrial strength.  Some features
 are 1) CDISC SDTM terms 2) Automatic or manual slope selection 3) Supporting
 both 'linear-up linear-down' and 'linear-up log-down' method 4)
 Interval(partial) AUCs with 'linear' or 'log' interpolation method 5)
 Produce pdf, rtf, text report files.  * Reference: Gabrielsson J, Weiner D.
 Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and
 Applications. 5th ed. 2016. (ISBN:9198299107).

Package: r-cran-ncbit
Architecture: all
Version: 2013.03.29.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9700
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ncbit_2013.03.29.1-1.ca2004.1_all.deb
Size: 9899444
MD5sum: 4fdf46cdd0f41441871ab58006ffab9b
SHA1: 468f3c927be0a30c2cfacd96129b215f9a0f5a21
SHA256: 1ce517fc337454dd7b9b3ef09e63d5db7da41ee1d892741ea7165942144e154f
SHA512: 0ef4504cdcb1fdcbe34ef13621993ed003e8b45ac0ceb39b88952b64285ab6ac010404977e3ab0274c4498e299e883059a1f59ad976c312aaab60f75ff76f74b
Homepage: https://cran.r-project.org/package=ncbit
Description: CRAN Package 'ncbit' (Retrieve and Build NBCI Taxonomic Data)
 Makes NCBI taxonomic data locally available and searchable as an R object.

Package: r-cran-ncc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-rbest, r-cran-rjags, r-cran-ggplot2, r-cran-lmertest, r-cran-doparallel, r-cran-parallelly, r-cran-foreach, r-cran-iterators, r-cran-spamm, r-cran-mgcv, r-cran-magick
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ncc_1.0-1.ca2004.1_all.deb
Size: 650352
MD5sum: 82cf427c4666faca926d449d75b8d224
SHA1: 17bc4ca01fc3ded00e383de91df981fd8f13453d
SHA256: aed6e52089fa0fb770ae9c8554a6556bb04f2f5144c0c77cea8deef039b113e6
SHA512: e962d87c7d4f01a8c0890480922397a183c9ceb9152db14d2e03d9434710b55756359e59db6b15636e2b38639332c52f76075b14c37e41b586d75ca0c2cfec66
Homepage: https://cran.r-project.org/package=NCC
Description: CRAN Package 'NCC' (Simulation and Analysis of Platform Trials with Non-ConcurrentControls)
 Design and analysis of flexible platform trials with non-concurrent
 controls. Functions for data generation, analysis, visualization and running
 simulation studies are provided.  The implemented analysis methods are
 described in: Bofill Roig et al. (2022) <doi:10.1186/s12874-022-01683-w>,
 Saville et al. (2022) <doi:10.1177/17407745221112013> and Schmidli et al.
 (2014) <doi:10.1111/biom.12242>.

Package: r-cran-ncdf4.helpers
Architecture: all
Version: 0.3-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncdf4, r-cran-pcict, r-cran-abind
Suggests: r-cran-proj4, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ncdf4.helpers_0.3-7-1.ca2004.1_all.deb
Size: 96840
MD5sum: e8ff1d336dcca8a25bccdcecf538ef96
SHA1: ad70931000285541044ca31a08c75c531297384c
SHA256: afff9cb94a014547a7ddde45641c1e0bab8e42b8e92b483e3a1baaadec82b0fa
SHA512: db6caa05889ff072151c950f9ef7b21a481e0633563c2948fe70d86d5fda1dc95cd4bf9f4ff854db2de66177fd7f740a5a305a8f197eadde368f88aded3623ad
Homepage: https://cran.r-project.org/package=ncdf4.helpers
Description: CRAN Package 'ncdf4.helpers' (Helper Functions for Use with the 'ncdf4' Package)
 Contains a collection of helper functions for dealing with 'NetCDF' files
 <https://www.unidata.ucar.edu/software/netcdf/> opened using 'ncdf4',
 particularly 'NetCDF' files that conform to the Climate and Forecast (CF)
 Metadata Conventions
 <http://cfconventions.org/Data/cf-conventions/cf-conventions-1.7/cf-conventions.html>.

Package: r-cran-ncdfcf
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2902
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-cftime, r-cran-r6, r-cran-rnetcdf, r-cran-stringr
Suggests: r-cran-data.table, r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ncdfcf_0.6.1-1.ca2004.1_all.deb
Size: 2027560
MD5sum: db4ef5273a21132b19a48b4b75cd8435
SHA1: 5caa9d5f88df36746a0cafa66da81c32795864d9
SHA256: e7dffd65e634e546b8d5b2530e252647cf159009a95d6d1a7e9165e75e32e58b
SHA512: 582da351f3dbb4ade309b418277b1e2857ff3185e46aafb835380be142a0701b27c40e0f33975f1d72f6bc6a36ea973035e0a7f50777b4a70519e09e0ca9ff65
Homepage: https://cran.r-project.org/package=ncdfCF
Description: CRAN Package 'ncdfCF' (Easy Access to NetCDF Files with CF Metadata Conventions)
 Network Common Data Form ('netCDF') files are widely used for scientific
 data. Library-level access in R is provided through packages 'RNetCDF' and
 'ncdf4'. Package 'ncdfCF' is built on top of 'RNetCDF' and makes the data
 and its attributes available as a set of R6 classes that are informed by the
 Climate and Forecasting Metadata Conventions. Access to the data uses
 standard R subsetting operators and common function forms.

Package: r-cran-ncdfgeom
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3587
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rnetcdf, r-cran-ncmeta, r-cran-sf, r-cran-dplyr, r-cran-stars, r-cran-areal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-jsonlite, r-cran-zip, r-cran-ncdf4
Filename: pool/dists/focal/main/r-cran-ncdfgeom_1.1.6-1.ca2004.1_all.deb
Size: 2364980
MD5sum: e837f82f3c7a35d953353d98c9283aeb
SHA1: 9bfa00d33232202678f05b8db75cf73a78f23990
SHA256: 095d0865289bbd67ef006e2859b77659beae23c4116f5aeedc63dfc6b32e092c
SHA512: a6e6c6b1e8314787b78702e115e818386723a52fe0626c33d859e24a88d4e1adddc1e6a1fc0e98e355fda4c6a3ff45724d30652a3050c404e8f00bd49cefef84
Homepage: https://cran.r-project.org/package=ncdfgeom
Description: CRAN Package 'ncdfgeom' ('NetCDF' Geometry and Time Series)
 Tools to create time series and geometry 'NetCDF' files.

Package: r-cran-ncdump
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1214
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ncdf4, r-cran-rlang, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ncdump_0.0.5-1.ca2004.1_all.deb
Size: 365512
MD5sum: cb41bd9e2327b1ea688861ad15ef7249
SHA1: b204682a6ef1de3d2bd0fbd5c2f6eab0a84726bf
SHA256: 69ca722786388ff8ba40ac26e88396a629b6ec9fdcca24970e4cee56ac9b1c0c
SHA512: 0cbd998fb6f2bf63ae1d33b9af4baebc380d4ae776193bacd47be6bd9a4fbca6ee88d67b5cd2c68b9a68646d1220489c96ded023505c636774fff2e0e45e9fb5
Homepage: https://cran.r-project.org/package=ncdump
Description: CRAN Package 'ncdump' (Extract Metadata from 'NetCDF' Files as Data Frames)
 Tools for handling 'NetCDF' metadata in data frames. The metadata is
 provided as relations in tabular form, to avoid having to scan printed
 header output or to navigate nested lists of raw metadata.

Package: r-cran-ncdunnett
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ncdunnett_1.1.0-1.ca2004.1_all.deb
Size: 41580
MD5sum: 522fd59fb01197303dbd7863e8c1c0b6
SHA1: e86c2973a9a6537a7760012cf27f8f0fbdd6fb17
SHA256: 94cf68c1e21351324b2a8d86e5a76f2ab0a1a38248433d5a153d250b1bc01fe4
SHA512: 25c081b27475d50681dafb00ae5d6d17a17c1d6b1fe1cf7187932301a14a9e1b11be36c3a88179cb9eab026e058b0a17999bb156c93c070a586ec41ef88df721
Homepage: https://cran.r-project.org/package=nCDunnett
Description: CRAN Package 'nCDunnett' (Noncentral Dunnett's Test Distribution)
 Computes the noncentral Dunnett's test distribution (pdf, cdf and quantile)
 and generates random numbers.

Package: r-cran-ncf
Architecture: all
Version: 1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ncf_1.3-2-1.ca2004.1_all.deb
Size: 220072
MD5sum: b927fe082359438381ff5081f406555d
SHA1: 63c73b34a9819436d73510e56ad85f46c665313e
SHA256: e50928e77f18309fad8921ec25ccd569edf42900f2b5fce8a13153eca768134e
SHA512: 368d68a1443ae0253747ac841e74346182af5f8a6cc55b3b0a2ca38d14ff26f8a45d3e63f1875f1862495fbda3e2e5870bf073b483b10c5251ab22c9d465a205
Homepage: https://cran.r-project.org/package=ncf
Description: CRAN Package 'ncf' (Spatial Covariance Functions)
 Spatial (cross-)covariance and related geostatistical tools: the
 nonparametric (cross-)covariance function , the spline correlogram, the
 nonparametric phase coherence function, local indicators of spatial
 association (LISA), (Mantel) correlogram, (Partial) Mantel test.

Package: r-cran-ncg
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ncg_0.1.1-1.ca2004.1_all.deb
Size: 33556
MD5sum: e515071b275fe6c23dfbe1b838c50bee
SHA1: c061385e2a37b36c5bbe7fd5830b1aaf445f6d43
SHA256: 50d367afc7cf1801547b6e0ed542c4e26f463bb663cf732eddb5e4fdc5df3ed5
SHA512: 76dcb3ba2d4fd02597616fef918cc02d9258d5374ce3de0d2ef371f3d313be4f8982b4aea13697f8eb4c9cf6ce561d9a5631e6cabc2b87541a7ad611e11dc97e
Homepage: https://cran.r-project.org/package=ncg
Description: CRAN Package 'ncg' (Computes the noncentral gamma function)
 Computes the noncentral gamma function: pdf, cdf, quantile function and
 inverse for the noncentrality parameter.

Package: r-cran-ncmeta
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 933
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-rnetcdf, r-cran-tibble, r-cran-tidyr, r-cran-cftime
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ncmeta_0.4.0-1.ca2004.1_all.deb
Size: 318188
MD5sum: 0430c82279460c30a95c543480419dbc
SHA1: 13187f335b74d77954a3e8e021bf0345064f5755
SHA256: 6735086adc73d32700867c3cd8f3a48555d71313d09ec5b009583ce75321a6a1
SHA512: 0d187c1173a926deb471a8749a3e082ac79bc7387716dfeb65d9707b11c25a26a0ee8e782608e8f4543ea1400e40a95009b0c4d25dd69cae531548f79810130e
Homepage: https://cran.r-project.org/package=ncmeta
Description: CRAN Package 'ncmeta' (Straightforward 'NetCDF' Metadata)
 Extract metadata from 'NetCDF' data sources, these can be files, file
 handles or servers. This package leverages and extends the lower level
 functions of the 'RNetCDF' package providing a consistent set of functions
 that all return data frames. We introduce named concepts of 'grid', 'axis'
 and 'source' which are all meaningful entities without formal definition in
 the 'NetCDF' library <https://www.unidata.ucar.edu/software/netcdf/>.
 'RNetCDF' matches the library itself with only the named concepts of
 'variables', 'dimensions' and 'attributes'.

Package: r-cran-ncmisc
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-kernsmooth, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ncmisc_1.2.0-1.ca2004.1_all.deb
Size: 280724
MD5sum: 140b2cf039ae550ab98a261ba87d2866
SHA1: b65e4f0598320727adb002a39868e9a13ef1868e
SHA256: 6017e12c0cf8464f9e1f46b29eaf99261263e49f7629b38baa809c3792abff69
SHA512: ddea2ecf1bfbf624047bd65d088db6cad18e3a40659f6d993aea7776827e2db5b257dc44074624fd96382e024a601222de3a241737302f1bd655c1d544d404c1
Homepage: https://cran.r-project.org/package=NCmisc
Description: CRAN Package 'NCmisc' (Miscellaneous Functions for Creating Adaptive Functions andScripts)
 A set of handy functions. Includes a versatile one line progress bar, one
 line function timer with detailed output, time delay function, text
 histogram, object preview, CRAN package search, simpler package installer,
 Linux command install check, a flexible Mode function, top function,
 simulation of correlated data, and more.

Package: r-cran-ncoder
Architecture: all
Version: 0.2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-rhor, r-cran-cli
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ncoder_0.2.0.1-1.ca2004.1_all.deb
Size: 378864
MD5sum: dd8bfc07a02ef9f0c70ab2a999cac605
SHA1: b79ee94cea1ef3031fcf61080983567b781cac4c
SHA256: 1c913372e5f91cc5710a477adace5d65bc67a8d7eb5721ccbc4257682ceecc81
SHA512: 728476cf44516fe61f42f825612ffbaf3b1778074fb365eaf936f2252ab83d35421811b675ead4eb381fa6f2951e0e633121f36282a9cafb95b79bb52b70e5fa
Homepage: https://cran.r-project.org/package=ncodeR
Description: CRAN Package 'ncodeR' (Techniques for Automated Classifiers)
 A set of techniques that can be used to develop, validate, and implement
 automated classifiers. A powerful tool for transforming raw data into
 meaningful information, 'ncodeR' (Shaffer, D. W. (2017) Quantitative
 Ethnography. ISBN: 0578191687) is designed specifically for working with big
 data: large document collections, logfiles, and other text data.

Package: r-cran-ncopula
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-deriv, r-cran-stringr, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ncopula_0.1.1-1.ca2004.1_all.deb
Size: 220876
MD5sum: 3f943224555e353cc4bff1729a67a80e
SHA1: 99345188a52dd2dc6b25f48e75f3e500c1ffcd32
SHA256: cfbf5dc531ebb09e6b2f98aea3662ae5de3c47567a0f1feba844ed4e786afdcb
SHA512: 5dab2161543786324af2007a29eaf19e2e178f9ca7c78706e2fc08d8f132d099c13b16f591581265954c9fa5a1d5b451fdb168c360c03e057a85fb54a9cbaed2
Homepage: https://cran.r-project.org/package=nCopula
Description: CRAN Package 'nCopula' (Hierarchical Archimedean Copulas Constructed with MultivariateCompound Distributions)
 Construct and manipulate hierarchical Archimedean copulas with multivariate
 compound distributions. The model used is the one of Cossette et al. (2017)
 <doi:10.1016/j.insmatheco.2017.06.001>.

Package: r-cran-ncov2019
Architecture: all
Version: 0.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4851
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-downloader, r-cran-ggplot2, r-cran-jsonlite, r-cran-rcolorbrewer
Suggests: r-cran-cowplot, r-cran-dplyr, r-cran-dt, r-cran-ggplotify, r-cran-maps, r-cran-magick, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-remotes, r-cran-plotly, r-cran-prettydoc, r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-ggrepel, r-cran-shadowtext, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ncov2019_0.4.6-1.ca2004.1_all.deb
Size: 3475492
MD5sum: 2a4b2297c0484f78f79ed8847ac0991f
SHA1: 36ef16d9b32ac85facc35af80382e8337cdc6b11
SHA256: 7da9529f420ad05e6333468b4a0fe95d4abb605ab7cc8f562728d3c5944d22bd
SHA512: 0ba3e1e960970c33e154dcbc8dff7b549acbf829682cacfd0e3e04b75594714f48410651d06454092a62790348211efe0ca08eda5e7cac5d79bb41b1a26d7929
Homepage: https://cran.r-project.org/package=nCov2019
Description: CRAN Package 'nCov2019' (Exploring 'COVID'-19 Statistics)
 Provides easy-to-use programming API to access real time and historical data
 of 'COVID'-19 cases, vaccine and therapeutics data, and a Shiny app to help
 users exploring the data.  Fetching data using API provided by
 <https://disease.sh> .

Package: r-cran-ncsampling
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaimpute, r-cran-lattice, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-ncsampling_1.0-1.ca2004.1_all.deb
Size: 139724
MD5sum: c26719611e867c9c7b2ab17f453d81bc
SHA1: e632813fc6dd45ca63b7774485fa70f11cd2d199
SHA256: 2bb7de55d23605bddddcb99bf08dfcf0804bcfe77c0154dce76bbd4be288f3f7
SHA512: c66cdbd19e7937e0f6d33dafc97c4dcdbd8589d14342376e3635a0733d0f7f8a1649c048a7c04240faab6f89c604e132880b5b42eb175ded117bed721dd555d8
Homepage: https://cran.r-project.org/package=NCSampling
Description: CRAN Package 'NCSampling' (Nearest Centroid (NC) Sampling)
 Provides functionality for performing Nearest Centroid (NC) Sampling. The NC
 sampling procedure was developed for forestry applications and selects plots
 for ground measurement so as to maximize the efficiency of imputation
 estimates. It uses multiple auxiliary variables and multivariate clustering
 to search for an optimal sample. Further details are given in Melville G. &
 Stone C. (2016) <doi:10.1080/00049158.2016.1218265>.

Package: r-cran-ncscopula
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula
Filename: pool/dists/focal/main/r-cran-ncscopula_1.0.1-1.ca2004.1_all.deb
Size: 42768
MD5sum: 5fdb0329bad0b0f2abf0250dc0db414b
SHA1: 27eb8f9912750f52897b08878370bbb9789e32a5
SHA256: 75cf3fe33accf38fa55332051ff709c88e6fdf94d813eebc7d1b11c66649ca3b
SHA512: 4415dbb5f70b19e5bca510ab67e73f56730b03c344f6b48e81a47322bb050effd660d5ec4d357f11870be2ee523405651e6ddf6d7cc18f722d77f36af4b56e17
Homepage: https://cran.r-project.org/package=NCSCopula
Description: CRAN Package 'NCSCopula' (Non-Central Squared Copula Models Estimation)
 Inference and dependence measure for the non-central squared Gaussian,
 Student, Clayton, Gumbel, and Frank copula models.The description of the
 methodology is taken from Section 3 of Nasri, Remillard and Bouezmarni
 (2019) <doi:10.1016/j.jmva.2019.03.007>.

Package: r-cran-nda
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2002
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-energy, r-cran-psych, r-cran-igraph, r-cran-matrix, r-cran-rfast, r-cran-mass, r-cran-mco, r-cran-ppcor, r-cran-lm.beta, r-cran-leidenalg, r-cran-metrics, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-nda_0.2.4-1.ca2004.1_all.deb
Size: 1996332
MD5sum: 53603c4a61d990f90c201e458ed699a5
SHA1: d60b81f694530966c93e4823336d7666e045cb11
SHA256: acf09e0ae5a2a482d1d8e84584d55b6624b0d66cadb923ccf2a52c058190659f
SHA512: cba16705947576a8ef40291faa12e2f859acebf877de41790cad31fb08e41e17c0c7a7a1878a8e2125cb34cc8ebbd954378338c076a73bce5c6615cde56e9d13
Homepage: https://cran.r-project.org/package=nda
Description: CRAN Package 'nda' (Generalized Network-Based Dimensionality Reduction and Analysis)
 Non-parametric dimensionality reduction function. Reduction with and without
 feature selection. Plot functions. Automated feature selections. Kosztyan
 et. al. (2024) <doi:10.1016/j.eswa.2023.121779>.

Package: r-cran-ndi
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1655
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-mass, r-cran-matrix, r-cran-psych, r-cran-sf, r-cran-stringr, r-cran-tidycensus, r-cran-tidyr
Suggests: r-cran-desctools, r-cran-ggplot2, r-cran-testthat, r-cran-tigris, r-cran-r.rsp, r-cran-spelling, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-ndi_0.1.5-1.ca2004.1_all.deb
Size: 1131448
MD5sum: 4fe61f9e8067f4b439bfcd5d21018a54
SHA1: 875e88a82d7a5745446100685480bc14b606daa9
SHA256: 4921e258327f9c43ad9c7cb291180e5b3f2d4f46f6b17522966eb296b3dcd231
SHA512: a3ebf3faeb7cb03819f46fdbf9d7cc6609ecd570647596aa04e5d60dfc62df5fd8dcf0af12899e3a4c41c8bce2d20bf4ce7ed72c57295bb001d187148ea85020
Homepage: https://cran.r-project.org/package=ndi
Description: CRAN Package 'ndi' (Neighborhood Deprivation Indices)
 Computes various metrics of socio-economic deprivation and disparity in the
 United States. Some metrics are considered "spatial" because they consider
 the values of neighboring (i.e., adjacent) census geographies in their
 computation, while other metrics are "aspatial" because they only consider
 the value within each census geography. Two types of aspatial neighborhood
 deprivation indices (NDI) are available: including: (1) based on Messer et
 al. (2006) <doi:10.1007/s11524-006-9094-x> and (2) based on Andrews et al.
 (2020) <doi:10.1080/17445647.2020.1750066> and Slotman et al. (2022)
 <doi:10.1016/j.dib.2022.108002> who use variables chosen by Roux and Mair
 (2010) <doi:10.1111/j.1749-6632.2009.05333.x>. Both are a decomposition of
 multiple demographic characteristics from the U.S. Census Bureau American
 Community Survey 5-year estimates (ACS-5; 2006-2010 onward). Using data from
 the ACS-5 (2005-2009 onward), the package can also (1) compute the spatial
 Racial Isolation Index (RI) based on Anthopolos et al. (2011)
 <doi:10.1016/j.sste.2011.06.002>, (2) compute the spatial Educational
 Isolation Index (EI) based on Bravo et al.  (2021)
 <doi:10.3390/ijerph18179384>, (3) compute the aspatial Index of
 Concentration at the Extremes (ICE) based on Feldman et al. (2015)
 <doi:10.1136/jech-2015-205728> and Krieger et al. (2016)
 <doi:10.2105/AJPH.2015.302955>, (4) compute the aspatial racial/ethnic
 Dissimilarity Index based on Duncan & Duncan (1955) <doi:10.2307/2088328>,
 (5) compute the aspatial income or racial/ethnic Atkinson Index based on
 Atkinson (1970) <doi:10.1016/0022-0531(70)90039-6>, (6) aspatial
 racial/ethnic Isolation Index (II) based on Shevky & Williams (1949;
 ISBN-13:978-0-837-15637-8) and Bell (1954) <doi:10.2307/2574118>, (7)
 aspatial racial/ethnic Correlation Ratio based on Bell (1954)
 <doi:10.2307/2574118> and White (1986) <doi:10.2307/3644339>, (8) aspatial
 racial/ethnic Location Quotient (LQ) based on Merton (1939)
 <doi:10.2307/2084686> and Sudano et al. (2013)
 <doi:10.1016/j.healthplace.2012.09.015>, and (9) aspatial racial/ethnic
 Local Exposure and Isolation metric based on Bemanian & Beyer (2017)
 <doi:10.1158/1055-9965.EPI-16-0926>. Also using data from the ACS-5
 (2005-2009 onward), the package can retrieve the aspatial Gini Index based
 Gini (1921) <doi:10.2307/2223319>.

Package: r-cran-ndp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1045
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ndp_0.1.0-1.ca2004.1_all.deb
Size: 510828
MD5sum: 36e47689a40900be897541c7354a413b
SHA1: 2c9b2127e72a4366db233b491a02bed620589944
SHA256: 9f180f9bbaef3e1f37c190ef5f750d11834b6b3843e5a1c1e55f769db39f74de
SHA512: 8d77e2410769d976af4c5e793d7afae931c08e02f2cf831170d357b1eb55d45a6791891a28b6d5442b85737c9e4c18c599b44a7c44d9a276cc730ca49a60fe91
Homepage: https://cran.r-project.org/package=NDP
Description: CRAN Package 'NDP' (Interactive Presentation for Working with Normal Distribution)
 An interactive presentation on the topic of normal distribution using
 'rmarkdown' and 'shiny' packages. It is helpful to those who want to learn
 normal distribution quickly and get a hands on experience. The presentation
 has a template for solving problems on normal distribution. Runtime examples
 are provided in the package function as well as at
 <https://kartikeyastat.shinyapps.io/NormalDistribution/>.

Package: r-cran-ndtv
Architecture: all
Version: 0.13.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1483
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-network, r-cran-networkdynamic, r-cran-animation, r-cran-sna, r-cran-mass, r-cran-statnet.common, r-cran-tsna, r-cran-jsonlite, r-cran-base64, r-cran-htmlwidgets, r-cran-scatterplot3d
Suggests: r-cran-tergm, r-cran-ergm, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ndtv_0.13.4-1.ca2004.1_all.deb
Size: 1006708
MD5sum: eb77d417afbc23e8a6f9afac6123be88
SHA1: a613885314d197da1365ec25c62ba4baaa5337db
SHA256: 9f05bd34ad57df99f7840222453e65e86965d01626f5f4104abc029e25975c62
SHA512: da03668e178b2c8379612f74b97740746240f7dea59ad11796fb705d5b536a091c20c43356c59b6e8971f6caa398c9b2d1e4b2b3448472e3d289042037b01d6f
Homepage: https://cran.r-project.org/package=ndtv
Description: CRAN Package 'ndtv' (Network Dynamic Temporal Visualizations)
 Renders dynamic network data from 'networkDynamic' objects as movies,
 interactive animations, or other representations of changing relational
 structures and attributes.

Package: r-cran-nearfar
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nbpmatching, r-cran-gensa, r-cran-mass, r-cran-car
Filename: pool/dists/focal/main/r-cran-nearfar_1.3-1.ca2004.1_all.deb
Size: 57972
MD5sum: 82d19c8fb447ce0a7b6c733de6674db8
SHA1: 1fac922dd5d513d8fb6f63aa399248252f118336
SHA256: c39ee057c1f7b1a83c0395a458c61140753fa7bc8fa267fefb21860ca7cd9ae3
SHA512: cb13dcd00700d8352b5593466ed1241a20aeb1322786c31bdca08d2b75d34a2722c27af13957dcc516c3b189f7afa78ef26d1564ed893d32e1f949b0df23d2c0
Homepage: https://cran.r-project.org/package=nearfar
Description: CRAN Package 'nearfar' (Near-Far Matching)
 Near-far matching is a study design technique for preprocessing
 observational data to mimic a pair-randomized trial. Individuals are matched
 to be near on measured confounders and far on levels of an instrumental
 variable. Methods outlined in further detail in Rigdon, Baiocchi, and Basu
 (2018) <doi:10.18637/jss.v086.c05>.

Package: r-cran-neat
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1373
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-matrix, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neat_1.2.4-1.ca2004.1_all.deb
Size: 1311336
MD5sum: 29b11c5f021099298a2992cfdfed2395
SHA1: c5b16d9b2f60e0332d14b31b5d879242bbac9629
SHA256: c90f99f33b9604807da9814ec8bc72449e83bf2d2f738fdf57acb8b0f86023de
SHA512: 1135da96964426400fad4de3d283bde35222e49b7c87215650ce3ca14f9e072e81e9d2942b717a39f30bf82651214875fa69421f9bcf92f3fc4d7005d5f36594
Homepage: https://cran.r-project.org/package=neat
Description: CRAN Package 'neat' (Efficient Network Enrichment Analysis Test)
 Includes functions and examples to compute NEAT, the Network Enrichment
 Analysis Test described in Signorelli et al.  (2016,
 <DOI:10.1186/s12859-016-1203-6>).

Package: r-cran-neatmaps
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-heatmaply, r-bioc-consensusclusterplus, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-neatmaps_2.1.0-1.ca2004.1_all.deb
Size: 266620
MD5sum: 9a48d095a966605fdda20eb083bff990
SHA1: af9c4bf7a9f01f334305381cd6e9fb162a5c7693
SHA256: 31b696fa7640b2639b9a93e02f002570bb7007e82f26f9fff265907cca595d8c
SHA512: b2f309180875dc7acb2210b75c2de3a0d076ace41bb8d02c197ef2d997449b49036c8093f7a56e1e4ce74f2dce840cdd4b7e29e60a15cfa485a36b179429b67f
Homepage: https://cran.r-project.org/package=neatmaps
Description: CRAN Package 'neatmaps' (Heatmaps for Multiple Network Data)
 Simplify the exploratory data analysis process for multiple network data
 sets with the help of hierarchical clustering, consensus clustering and
 heatmaps. Multiple network data consists of multiple disjoint networks that
 have common variables (e.g. ego networks).  This package contains the
 necessary tools for exploring such data, from the data pre-processing stage
 to the creation of dynamic visualizations.

Package: r-cran-neatr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neatr_0.2.0-1.ca2004.1_all.deb
Size: 53224
MD5sum: c59126c8048a8cb72347152a5b41fa3d
SHA1: 6ce4dbf716678b1aa179ad24b17707d30aac99bd
SHA256: 1ae73b58f632f9055f8ebdfc40142083627112787065e2ede59997be9bcb842b
SHA512: a668340cad6b6b3fc06a75952dd26a8e577c6538bac2bb1fd04a2aa43e01b10d4894ddcf3a63a41c9456cb22a00f688c734e7207868198907ec902e6a2b9f89a
Homepage: https://cran.r-project.org/package=neatR
Description: CRAN Package 'neatR' (Neat Data for Presentation)
 Utilities for unambiguous, neat and legible representation of data (date,
 time stamp, numbers, percentages and strings) for presentation of analysis ,
 aiming for elegance and consistency.  The purpose of this package is to
 format data, that is better for presentation and any automation jobs that
 reports numbers.

Package: r-cran-neatstats
Architecture: all
Version: 1.13.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-viridis, r-cran-fbasics, r-cran-data.table, r-cran-bayestestr, r-cran-proc, r-cran-mbess, r-cran-car, r-cran-ez, r-cran-exact, r-cran-bayesfactor, r-cran-ggplot2, r-cran-ggpubr, r-cran-logspline
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-neatstats_1.13.3-1.ca2004.1_all.deb
Size: 476396
MD5sum: ff5750a90c81411d838d8c403d4f19a3
SHA1: 4741999a0d1e8a7ba21be9b3a617abeac95e8e9b
SHA256: b95b99e17ce6f666bb3f37184e4a30b70ed70417068e4623f4687f5aa3c63ee7
SHA512: f09f8b5d5505ec0a42bb51f636e0a7350564e9f4291c3b471f683154118221f76f79bdbdeb2913bbeefe6c7e6e78aaa47eded02923bfce525f3a55a9280b975b
Homepage: https://cran.r-project.org/package=neatStats
Description: CRAN Package 'neatStats' (Neat and Painless Statistical Reporting)
 User-friendly, clear and simple statistics, primarily for publication in
 psychological science. The main functions are wrappers for other packages,
 but there are various additions as well. Every relevant step from data
 aggregation to reportable printed statistics is covered for basic
 experimental designs.

Package: r-cran-necklaces
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-kstatistics
Filename: pool/dists/focal/main/r-cran-necklaces_1.0-1.ca2004.1_all.deb
Size: 57956
MD5sum: 6af08ff8484428ab1a307ab00f30c185
SHA1: 148097953ae9b5bf08dd09519cae3a1dc9d45afa
SHA256: 931d34f86d88d077e3f285603a5fb1cf35056c83bb34b192f9d547741e78665f
SHA512: ddd92cfcfe57e0e7d7a9bd3bff005e1a33c5e316ed87368ec68027b02cba953612acf17b0ff25e44e339e09ddd29f9e4fa70c660eb3dfbe00a7907e525cc31eb
Homepage: https://cran.r-project.org/package=Necklaces
Description: CRAN Package 'Necklaces' (Necklaces and Bracelets)
 Tools to generate Necklaces, Bracelets, Lyndon words and de Bruijn
 sequences. The generation relies on integer partitions and uses the
 'KStatistics' package. Methods used in the package refers to E. Di Nardo and
 G. Guarino (2022) <arXiv:2208.06855>.

Package: r-cran-necountries
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4006
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-tibble, r-cran-ggplot2, r-cran-sf, r-cran-dplyr, r-cran-ggrepel, r-cran-rlang, r-cran-classint, r-cran-stringr, r-cran-magrittr, r-cran-stringi
Suggests: r-cran-knitr, r-cran-tidyr, r-cran-purrr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-necountries_0.1-1-1.ca2004.1_all.deb
Size: 3794876
MD5sum: c62dd5fc26fb9d634d1afade1620e266
SHA1: 9c8a6f7d1680f20d0bfd90cd174b74396d4f9530
SHA256: b8f0482b7d4fff5fc16d211a18847567241fbffa7a7e61611f9a1dc2aa5d34c8
SHA512: 5e44af945f57411919615dab58afd7db3521f1f868c0324ae0da4a2d2665190ad398cd82d11d896767cbf5c69a8ba51040781d76f9ef7213f508d5c87ccaa60a
Homepage: https://cran.r-project.org/package=necountries
Description: CRAN Package 'necountries' (Countries of the World)
 Based on Natural Earth <https://www.naturalearthdata.com/>, a subset of
 countries can easily be selected with their administrative boundaries,
 joined with an external data frame and plotted as a thematic map.

Package: r-cran-needmining
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rtweet, r-cran-randomforest, r-cran-stringr, r-cran-snowballc, r-cran-sparsem, r-cran-tau, r-cran-tm
Filename: pool/dists/focal/main/r-cran-needmining_0.1.1-1.ca2004.1_all.deb
Size: 63008
MD5sum: 401aea948ab096145176638519f8db46
SHA1: 2023fc9712479e5343259bc0540284df7dc7cb37
SHA256: 5da5fc36589c81a85b634bc7b6bfa91dd03eb64c837fde8c41936407e5cd3359
SHA512: 033a6b15a1ac6530f72a4c5bb23931d5b11277e8e78f1ae7ce72d2fc255f9241beb4cd4d6810abd514fa54e89093f146a40894b02104af253a0292d75556e891
Homepage: https://cran.r-project.org/package=needmining
Description: CRAN Package 'needmining' (A Simple Needmining Implementation)
 Showcasing needmining (the semi-automatic extraction of customer needs from
 social media data) with Twitter data. It uses the handling of the Twitter
 API provided by the package 'rtweet' and the textmining algorithms provided
 by the package 'tm'.  Niklas Kuehl (2016) <doi:10.1007/978-3-319-32689-4_14>
 wrote an introduction to the topic of needmining.

Package: r-cran-needs
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-needs_0.0.3-1.ca2004.1_all.deb
Size: 25896
MD5sum: 14a134b0d7f2fcdc797d7dc0a767e2a5
SHA1: f14a575903f72175269b21f208fba358bfab3274
SHA256: 75ac9aee1eafb43c36bf91d1b0eb19acdd3ab0cd9dfed79b74754928d62c9704
SHA512: 525b639334350f90a76014aee770cb886bae4f6ad48ebef672883270d4a1680cf640f38af8475324f836f8c8abaac8ab2907386a74ffb75027b9f6cd9c9c6c08
Homepage: https://cran.r-project.org/package=needs
Description: CRAN Package 'needs' (Attaches and Installs Packages)
 A simple function for easier package loading and auto-installation.

Package: r-cran-needy
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-needy_0.2-1.ca2004.1_all.deb
Size: 30396
MD5sum: c1fa84292fdd4e65bb9720d7714d48c3
SHA1: 6d477349fce5d389a914d70ad68e1dd82e55d733
SHA256: d1c560e9de7f402cd93ed52efb4cb3bf430fdc9f066425721876786bedb5f1b6
SHA512: b0bdf6e0b3fd5e781defab75be0dbff2251fa9439f7ed7fafa59759229b4ea646da8d88dc43a4ff68a29ffb40288f38bfc95e97ec87f0a27387101fe87552454
Homepage: https://cran.r-project.org/package=needy
Description: CRAN Package 'needy' (needy)
 needy is a small utility library designed to make testing function inputs
 less difficult. R is a dynamically typed language, but larger projects need
 input checking for scalabity. needy offers a single function, require_a( ),
 which lets you specify the traits an input object should have, such as
 class, size, numerical properties or number of parameters, while reducing
 boilerplate code and aiding debugging.

Package: r-cran-neff
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-bit
Filename: pool/dists/focal/main/r-cran-neff_1.1-1.ca2004.1_all.deb
Size: 38820
MD5sum: c10502c18ba3356239fadef85ce1e049
SHA1: 812b4851c55b9c2e75b3a87612ba8b582103ef1b
SHA256: 0d6fdd87301331938faca86c34a77b7322dfe86fe8c21d4369c3449bf113c13e
SHA512: cab9465b7c776abd3e82f875153744dbfd36b2bc5afebf7ca9f7cb485c9acaa4059f0bd3bde718b74e796bb6cf402b113ec44365cb3860a77e9525406588def8
Homepage: https://cran.r-project.org/package=NEff
Description: CRAN Package 'NEff' (Calculating Effective Sizes Based on Known DemographicParameters of a Population)
 Effective population sizes (often abbreviated as "Neff") are essential in
 biodiversity monitoring and conservation. For the first time, calculating
 effective sizes with data obtained within less than a generation but
 considering demographic parameters is possible. This individual based model
 uses demographic parameters of a population to calculate annual effective
 sizes and effective population sizes (per generation). A defined number of
 alleles and loci will be used to simulate the genotypes of the individuals.
 Stepwise mutation rates can be included. Variations in life history
 parameters (sex ratio, sex-specific survival, recruitment rate, reproductive
 skew) are possible. These results will help managers to define existing
 populations as viable or not.

Package: r-cran-negativecontroloutcomeadjustment
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-negativecontroloutcomeadjustment_0.0.6-1.ca2004.1_all.deb
Size: 54168
MD5sum: fedb2c74e5ad9c1f92c88e7ba3397906
SHA1: d600126403ac8e38de01fcc34481c6ef51f78ef6
SHA256: b00369f62d2810aed274cc428b4c1959fa92dc808dd027e4d35ca6afda5a13dd
SHA512: 8263bcec6f716e95daff19ff87d6396933e37dea0ea36a6a18f17ebc633330f0c4a9b41c3cfee27990f3f132779b21475ed36761dff492bcb15f894b5705de49
Homepage: https://cran.r-project.org/package=NegativeControlOutcomeAdjustment
Description: CRAN Package 'NegativeControlOutcomeAdjustment' (Estimation of Vaccine Efficacy using Negative Control Outcomes)
 Methods to reduce confounding bias from unmeasured confounders in
 observational studies of vaccine efficacy using negative control outcomes.

Package: r-cran-negbinbetabinreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-boot
Filename: pool/dists/focal/main/r-cran-negbinbetabinreg_1.0-1.ca2004.1_all.deb
Size: 80944
MD5sum: 75b76a770a1953d0b4b4bd3215dada3c
SHA1: 9b1743015df8122adc6fa2009cbc7117fda9e221
SHA256: c7a27bd61be6d996aedd50fb5004bbb37b8a94265a31e0bb6c633c5df07cbfd9
SHA512: 8faed249b32b8e2874cae3e115670afed23fb9a01e3fabd092b116457308cb556203f8bf1b62e1be4a377a6a56787719511b83de4db7bb82cf42fba7e3b4ae5b
Homepage: https://cran.r-project.org/package=NegBinBetaBinreg
Description: CRAN Package 'NegBinBetaBinreg' (Negative Binomial and Beta Binomial Bayesian Regression Models)
 The Negative Binomial regression with mean and shape modeling and mean and
 variance modeling and Beta Binomial regression with mean and dispersion
 modeling.

Package: r-cran-negligible
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-ez, r-cran-lavaan, r-cran-wrs2, r-cran-ggplot2, r-cran-nptest, r-cran-dplyr, r-cran-fungible, r-cran-rockchalk, r-cran-mbess, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-negligible_0.1.9-1.ca2004.1_all.deb
Size: 273952
MD5sum: 75d2342515df7878c1e42def221ef274
SHA1: 961bdf9248fb322ef1b32373fe355f681f40dcc3
SHA256: 3020381b1d13d9525f16dcdbae7de73ea1aa18cd0523b4f0d104864f488de2a9
SHA512: 14efaf8bf60d6b02b1db2cb25bb3a959273be95d9bc32a207e7e2b384506be7a9e9647b2bb3779e7467bf4829ddb23dbbd88a4c090b1b82c63bf4b34817b8f0b
Homepage: https://cran.r-project.org/package=negligible
Description: CRAN Package 'negligible' (A Collection of Functions for Negligible Effect/EquivalenceTesting)
 Researchers often want to evaluate whether there is a negligible
 relationship among variables. The 'negligible' package provides functions
 that are useful for conducting negligible effect testing (also called
 equivalence testing). For example, there are functions for evaluating the
 equivalence of means or the presence of a negligible association
 (correlation or regression). Beribisky, N., Mara, C., & Cribbie, R. A.
 (2020) <doi:10.20982/tqmp.16.4.p424>.  Beribisky, N., Davidson, H., Cribbie,
 R. A. (2019) <doi:10.7717/peerj.6853>.  Shiskina, T., Farmus, L., & Cribbie,
 R. A. (2018) <doi:10.20982/tqmp.14.3.p167>.  Mara, C. & Cribbie, R. A.
 (2017) <doi:10.1080/00220973.2017.1301356>.  Counsell, A. & Cribbie, R. A.
 (2015) <doi:10.1111/bmsp.12045>.  van Wieringen, K. & Cribbie, R. A. (2014)
 <doi:10.1111/bmsp.12015>.  Goertzen, J. R. & Cribbie, R. A. (2010)
 <doi:10.1348/000711009x475853>.  Cribbie, R. A., Gruman, J. & Arpin-Cribbie,
 C. (2004) <doi:10.1002/jclp.10217>.

Package: r-cran-neighboot
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdstreeboot, r-cran-igraph, r-cran-rds, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-neighboot_1.0.1-1.ca2004.1_all.deb
Size: 417324
MD5sum: fd87eb00fd218c247c4bcbd9a096ab18
SHA1: 64f46e03e4070f1d03cf9b02ea6cf39cb61767a9
SHA256: 6e1da835404593066a9d7f350168668ed74b9da6c2f58a23f3ce6d87720c2386
SHA512: f08df9c5a48525d4401e52f9196bbc100a7434200bfb0a0a054adc180938148d4a1979a20e66db52723b51589b2a6bb8f12ed294aaf79c9e3976e2fc5a143c94
Homepage: https://cran.r-project.org/package=Neighboot
Description: CRAN Package 'Neighboot' (Neighborhood Bootstrap Method for RDS)
 A bootstrap method for Respondent-Driven Sampling (RDS) that relies on the
 underlying structure of the RDS network to estimate uncertainty.

Package: r-cran-neighbours
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-nmof, r-cran-quadprog, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-neighbours_0.1-3-1.ca2004.1_all.deb
Size: 287964
MD5sum: f81690f0ad5ef78ccaa7d2a8c0898dce
SHA1: 7949c2e5e908d9f9766aec8d05cc38cbcc5eef21
SHA256: 68a13c8f7a839547114a68a80a5caa8a7494f23298028a3454b850905be8a09f
SHA512: 9b55be42657059607b867a4478267b237da41563253444eb0e4308907995b8399253bee154e9c3530abf8c6142ea313d84b02305c8bdf84471d59be1a7554a3f
Homepage: https://cran.r-project.org/package=neighbours
Description: CRAN Package 'neighbours' (Neighbourhood Functions for Local-Search Algorithms)
 Neighbourhood functions are key components of local-search algorithms such
 as Simulated Annealing or Threshold Accepting.  These functions take a
 solution and return a slightly-modified copy of it, i.e. a neighbour.  The
 package provides a function neighbourfun() that constructs such
 neighbourhood functions, based on parameters such as admissible ranges for
 elements in a solution.  Supported are numeric and logical solutions.  The
 algorithms were originally created for portfolio-optimisation applications,
 but can be used for other models as well.  Several recipes for neighbour
 computations are taken from "Numerical Methods and Optimization in Finance"
 by M. Gilli, D. Maringer and E. Schumann (2019, ISBN:978-0128150658).

Package: r-cran-neighbr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-neighbr_1.0.3-1.ca2004.1_all.deb
Size: 229836
MD5sum: 5fceeed4b183589de8a27ab056805107
SHA1: 36bc5d6fd5241bae53ad252347ea3dc2bc1f34fe
SHA256: 04202b81c98fddf8e9c0e2a53756cb04c5091cbd20acc5a55ba0cd604465716b
SHA512: b6c74642cffcd5f0034d6630dc64d1e248c1bbee9c9bc589b2199515a48ebc1dea82d9d647fc25ac9c9c96d0ad931ef7d0f15ce78af0a994f92b83d838e7d16c
Homepage: https://cran.r-project.org/package=neighbr
Description: CRAN Package 'neighbr' (Classification, Regression, Clustering with K Nearest Neighbors)
 Classification, regression, and clustering with k nearest neighbors
 algorithm. Implements several distance and similarity measures, covering
 continuous and logical features. Outputs ranked neighbors. Most features of
 this package are directly based on the PMML specification for KNN.

Package: r-cran-neldermead
Architecture: all
Version: 1.0-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3081
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimbase, r-cran-optimsimplex
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neldermead_1.0-12-1.ca2004.1_all.deb
Size: 1488776
MD5sum: 83eb6dd4a2e632566fa9739df3e5327d
SHA1: 07ed7ff9ffb6aebde3b9c110c0f43e9aecdd60b1
SHA256: 4b8c4cfdaef529b8b95ea949a5a10ef2a6421f5cd3d609db28419bf8ce95f310
SHA512: 4579bb80af2aad3670d75d5cb5d0299a2c4838ffc21f3db4dd699f20dc6f80187a1af9623a5bef091eb5ca33dfc86758b1b959e3178be4c33e0ed1a465e106be
Homepage: https://cran.r-project.org/package=neldermead
Description: CRAN Package 'neldermead' (R Port of the 'Scilab' Neldermead Module)
 Provides several direct search optimization algorithms based on the simplex
 method. The provided algorithms are direct search algorithms, i.e.
 algorithms which do not use the derivative of the cost function. They are
 based on the update of a simplex. The following algorithms are available:
 the fixed shape simplex method of Spendley, Hext and Himsworth
 (unconstrained optimization with a fixed shape simplex, 1962)
 <doi:10.1080/00401706.1962.10490033>, the variable shape simplex method of
 Nelder and Mead (unconstrained optimization with a variable shape simplex
 made, 1965) <doi:10.1093/comjnl/7.4.308>, and Box's complex method
 (constrained optimization with a variable shape simplex, 1965) <doi:
 10.1093/comjnl/8.1.42>.

Package: r-cran-nembm
Architecture: all
Version: 1.00.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ergm, r-cran-blockmodeling
Filename: pool/dists/focal/main/r-cran-nembm_1.00.01-1.ca2004.1_all.deb
Size: 79900
MD5sum: c1f0e77eb76fdbc01d7ae36ae66b7060
SHA1: 73efc79ebb8f3a8e0ab959fe44d4a33591a6b76c
SHA256: 8d1096e1e21de230dc26e74566c11f08850ea73148097200956e98488a17df21
SHA512: 8f7650aa202300867805606ecaed1b65cb32d8fa40521249fefb409c2ece61a8255c21714e3472cb3dd60690de4b0283df37140d94cbaec843b46b3a8c48757d
Homepage: https://cran.r-project.org/package=nemBM
Description: CRAN Package 'nemBM' (Using Network Evolution Models to Generate Networks withSelected Blockmodel Type)
 To study network evolution models and different blockmodeling approaches.
 Various functions enable generating (temporal) networks with a selected
 blockmodel type, taking into account selected local network mechanisms. The
 development of this package is financially supported the Slovenian Research
 Agency (www.arrs.gov.si) within the research program P5<96>0168 and the
 research project J5-2557 (Comparison and evaluation of different approaches
 to blockmodeling dynamic networks by simulations with application to
 Slovenian co-authorship networks).

Package: r-cran-nemsqar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4807
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-rlang, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-nemsqar_1.1.0-1.ca2004.1_all.deb
Size: 4737368
MD5sum: 24274782bfbda48386023d8bd1adb90a
SHA1: 82ab8fbfe63b57bb79312568150fd221c6795071
SHA256: e5597ef6522d090814d80013ac82af6b84c2b1c40a93048e623c56771c628993
SHA512: efd7086cae8a1902fa7d7ee01bc53537a2b0c48e4837953da551e06757131b50779cfdf08c5fae017d1fa8f098bc7bcd392361858aafbb7f27744799f5a4f14a
Homepage: https://cran.r-project.org/package=nemsqar
Description: CRAN Package 'nemsqar' (National Emergency Medical Service Quality Alliance MeasureCalculations)
 Designed to automate the calculation of Emergency Medical Service (EMS)
 quality metrics, 'nemsqar' implements measures defined by the National EMS
 Quality Alliance (NEMSQA). By providing reliable, evidence-based quality
 assessments, the package supports EMS agencies, healthcare providers, and
 researchers in evaluating and improving patient outcomes.  Users can find
 details on all approved NEMSQA measures at
 <https://www.nemsqa.org/measures>.  Full technical specifications, including
 documentation and pseudocode used to develop 'nemsqar', are available on the
 NEMSQA website after creating a user profile at <https://www.nemsqa.org>.

Package: r-cran-nemtr
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nemtr_0.0.1.0-1.ca2004.1_all.deb
Size: 19220
MD5sum: 2985e20f493518c56f08e2be43f3158d
SHA1: e9f827dc05da54e38e2f75803278104684c10574
SHA256: 02a1cc8c793672f6a5d9bfae00433a71e2af1692a47447c3dac9a285addc6095
SHA512: 64544852a0357f4c52ce85deb722984c661bb72dfcbbf4c626eb954344572ed6a39f9af694a4f8af98338fe149d28c8e2de5ef46351cf4b86cb19fd65f5cf627
Homepage: https://cran.r-project.org/package=nemtr
Description: CRAN Package 'nemtr' (Nonparametric Extended Median Test - Cumulative Summation Method)
 Calculates a cumulative summation nonparametric extended median test based
 on the work of Brown & Schaffer (2020) <DOI:10.1080/03610926.2020.1738492>.
 It then generates a control chart to assess processes and determine if any
 streams are out of control.

Package: r-cran-neo2r
Architecture: all
Version: 2.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-neo2r_2.4.2-1.ca2004.1_all.deb
Size: 43624
MD5sum: cab57b3d139c10461c32c982f6dcf5a2
SHA1: 6e27ae34fa23cb22b860b0ac080b345e254f540b
SHA256: 6ddbc67d173f8d904a5290980025c5fabf504cccc323a7be597256782feafde8
SHA512: b3c06dad07ec4bbf64788e30cdf3fcf8a49aa77dc13c68b94df25857b1b13ed3afc46694dba9e177dda20f5301bbaa37849e4e20e7f550d08edbd9f6d392c3f4
Homepage: https://cran.r-project.org/package=neo2R
Description: CRAN Package 'neo2R' (Neo4j to R)
 The aim of neo2R is to provide simple and low level connectors for querying
 neo4j graph databases (<https://neo4j.com/>).  The objects returned by the
 query functions are either lists or data.frames with very few
 post-processing.  It allows fast processing of queries returning many
 records.  And it let the user handle post-processing according to the data
 model and his needs.

Package: r-cran-neo4jshell
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-ssh, r-cran-sys, r-cran-fs, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neo4jshell_0.1.2-1.ca2004.1_all.deb
Size: 43304
MD5sum: 2fda4a2b083822d3f57091ada07c9473
SHA1: e77aa2549d65dde1ff809ff750dec20c8fb67512
SHA256: 635db13a648d4d61f2dd88655e51685b2fba1568bccb34c2ea7ac4e2a0278b10
SHA512: fcd3e5833fa6897efb442f146127d0308eedeb19597cc87f723572c6264dc2e9f9ec31e9c2993bc7cb6693bf412a34a6386c4dc26b75880ee005fc2ac890b28e
Homepage: https://cran.r-project.org/package=neo4jshell
Description: CRAN Package 'neo4jshell' (Querying and Managing 'Neo4J' Databases in 'R')
 Sends queries to a specified 'Neo4J' graph database, capturing results in a
 dataframe where appropriate.  Other useful functions for the importing and
 management of data on the 'Neo4J' server and basic local server admin.

Package: r-cran-neo4r
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-attempt, r-cran-data.table, r-cran-glue, r-cran-httr, r-cran-igraph, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-neo4r_0.1.1-1.ca2004.1_all.deb
Size: 262764
MD5sum: 30ecc9cf42534e20f5472897dd32e9c4
SHA1: 8966602ddd095ae2bb76b633860ae32167167528
SHA256: 8462739472f20c5daaee53af4ed489ca094f9ca238e8c55eec5af3dceaee0ced
SHA512: 75dec8770c37799dcfb423a072550c834ff28b6d283d4a172f20b02c1f98bc2c1c4f355969133d2c0638e1ca18a416a217741ace11de2eeaa37b602b8c902223
Homepage: https://cran.r-project.org/package=neo4r
Description: CRAN Package 'neo4r' (A 'Neo4J' Driver)
 A Modern and Flexible 'Neo4J' Driver, allowing you to query data on a
 'Neo4J' server and handle the results in R. It's modern in the sense it
 provides a driver that can be easily integrated in a data analysis workflow,
 especially by providing an API working smoothly with other data analysis and
 graph packages. It's flexible in the way it returns the results, by trying
 to stay as close as possible to the way 'Neo4J' returns data. That way, you
 have the control over the way you will compute the results. At the same
 time, the result is not too complex, so that the "heavy lifting" of data
 wrangling is not left to the user.

Package: r-cran-neodistr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinythemes, r-cran-plotly, r-cran-brms, r-cran-rmpfr, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neodistr_0.1.1-1.ca2004.1_all.deb
Size: 133704
MD5sum: 491a56121bc662713bc7ec7384f9af08
SHA1: 9529f72334aaddb3851b85d377f40faa279dc026
SHA256: c5b6724d97fd6b78e86de250eb4c288f728e64ee9a71a5624e1d1bebaed5bbf1
SHA512: cce9e882e8e1d2315b6c008cec28712cec067c240e54b624000df06ceae76d159aef5ca427ac782e17a2c87f3dc45bf04e91a7792e8556b17164dc93dc1efb3a
Homepage: https://cran.r-project.org/package=neodistr
Description: CRAN Package 'neodistr' (Neo-Normal Distribution)
 Provides functions for calculating the density, cumulative distribution,
 quantile, and random number of neo-normal distribution. It also interfaces
 with the 'brms' package, allowing the use of the neo-normal distribution as
 a custom family.  This integration enables the application of various 'brms'
 formulas for neo-normal regression. The package implements the following
 distributions: Modified to be Stable as Normal from Burr (MSNBurr), Modified
 to be Stable as Normal from Burr-IIa (MSNBurr-IIa), Generalized of MSNBurr
 (GMSNBurr), and Jones-Faddy Skew-t.  References: Choir, A. S.
 (2020).Unpublished Dissertation.  Iriawan, N. (2000).Unpublished
 Dissertation.  Jones, M. C. and Faddy,M. J.
 (2003).<doi:10.1111/1467-9868.00378>.  Rigby, R. A., Stasinopoulos, M. D.,
 Heller, G. Z., & Bastiani, F. D. (2019) <doi:10.1201/9780429298547>.

Package: r-cran-neoniso
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-zoo, r-cran-httr, r-cran-lubridate, r-cran-neonutilities, r-cran-magrittr, r-bioc-rhdf5, r-cran-r.utils, r-cran-tidyselect, r-cran-data.table, r-cran-rlang, r-cran-caret, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lifecycle, r-cran-fasttime
Filename: pool/dists/focal/main/r-cran-neoniso_0.7.2-1.ca2004.1_all.deb
Size: 2648160
MD5sum: 51d63309135cc802feb914f0d53debcc
SHA1: c66442ff50c95a1ec5082e2bc7ae812a493bfdae
SHA256: ea87eb1297d39dd35bdf455ba02e84c0b0a68c3b4eb80b45e8a7187a33b957c6
SHA512: 38eda9bd9e42a96948491558f775af43f96102422eb6d8dffaec68d7530bcb4e2dc30745097d377f8507768ee081da5f78c90beff85530a26ed513304ef6ec24
Homepage: https://cran.r-project.org/package=NEONiso
Description: CRAN Package 'NEONiso' (Tools to Calibrate and Work with NEON Atmospheric Isotope Data)
 Functions for downloading, calibrating, and analyzing atmospheric isotope
 data bundled into the eddy covariance data products of the National
 Ecological Observatory Network (NEON) <https://www.neonscience.org>.
 Calibration tools are provided for carbon and water isotope products.
 Carbon isotope calibration details are found in Fiorella et al. (2021)
 <doi:10.1029/2020JG005862>, and the readme file at
 <https://github.com/lanl/NEONiso>. Tools for calibrating water isotope
 products have been added as of 0.6.0, but have known deficiencies and should
 be considered experimental and unsupported.

Package: r-cran-neonos
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-neonutilities
Filename: pool/dists/focal/main/r-cran-neonos_1.1.0-1.ca2004.1_all.deb
Size: 132400
MD5sum: 402d0e4dcf888405ca45e3cd9cec7260
SHA1: 472192af69ce2b5494c869619e6a484d4cfa8a43
SHA256: c2e653de4b204cc9ded5d98537583a1a835768bb8a7fcb864b2f17c9778bd82f
SHA512: fe745d01509c7b724007c11163449e3c6199464aad2bec8a2806a4d984033881bc1d9771e2945fd728f5cb28f137442377efdab1638836fca723bd3e18031556
Homepage: https://cran.r-project.org/package=neonOS
Description: CRAN Package 'neonOS' (Basic Data Wrangling for NEON Observational Data)
 NEON observational data are provided via the NEON Data Portal
 <https://www.neonscience.org> and NEON API, and can be downloaded and
 reformatted by the 'neonUtilities' package. NEON observational data
 (human-observed measurements, and analyses derived from human-collected
 samples, such as tree diameters and algal chemistry) are published in a
 format consisting of one or more tabular data files. This package provides
 tools for performing common operations on NEON observational data, including
 checking for duplicates and joining tables.

Package: r-cran-neonplantecology
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4606
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-neonutilities, r-cran-vegan, r-cran-ggplot2, r-cran-data.table, r-cran-dtplyr, r-cran-dplyr, r-cran-lubridate, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-ggpubr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neonplantecology_1.6.1-1.ca2004.1_all.deb
Size: 4528776
MD5sum: 49923a2508259c4e817b4dac38fabaac
SHA1: eba24182b0d875fb8282e92846a9d540c43a06a3
SHA256: 23513629938a6b752e21c091fc98b32e93f4a2b794e43f47f4a8345945d730b0
SHA512: 88514e751ad7f819969b264e25802650114755377894d26d8c258c2daec7fad713afa9bc632cf3a506daf9c1c600a3e6aa9b7e8f49fba3b8dbcbe9b8dc06c52d
Homepage: https://cran.r-project.org/package=neonPlantEcology
Description: CRAN Package 'neonPlantEcology' (Process NEON Plant Data for Ecological Analysis)
 Downloading and organizing plant presence and percent cover data from the
 National Ecological Observatory Network <https://www.neonscience.org>.

Package: r-cran-neonsoilflux
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1980
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-neonutilities, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neonsoilflux_1.0.0-1.ca2004.1_all.deb
Size: 1581348
MD5sum: c2ad3fdb97ffbee6c1be1c4922972d60
SHA1: ccf19161c7f897ce70731e635a925bb09114e417
SHA256: b405e147547698e721b4d4eaf1994bed7160c6fd37ae1c980d085dce0676a3f9
SHA512: 57f00778e887f2a20a429d6226edc51349342c2095235e1cb4f88882c64574459fec836547549c0b363359e28a88bb90690938d9d3375bc97eaa0939ec8fb643
Homepage: https://cran.r-project.org/package=neonSoilFlux
Description: CRAN Package 'neonSoilFlux' (Compute Soil Carbon Fluxes for the National EcologicalObservatory Network Sites)
 Acquires and synthesizes soil carbon fluxes at sites located in the National
 Ecological Observatory Network (NEON). Provides flux estimates and
 associated uncertainty as well as key environmental measurements (soil
 water, temperature, CO2 concentration) that are used to compute soil fluxes.

Package: r-cran-neonstore
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-httr, r-cran-progress, r-cran-r.utils, r-cran-thor, r-cran-vroom, r-cran-zip, r-cran-duckdbfs, r-cran-memoise, r-cran-cachem, r-cran-glue
Suggests: r-cran-tibble, r-cran-jsonlite, r-cran-testthat, r-cran-covr, r-cran-xml2, r-cran-spelling, r-cran-rstudioapi, r-cran-neonutilities, r-bioc-rhdf5, r-cran-curl, r-cran-openssl, r-cran-digest, r-cran-arrow, r-cran-dplyr, r-cran-r.methodss3, r-cran-r.oo, r-cran-storr
Filename: pool/dists/focal/main/r-cran-neonstore_0.5.1-1.ca2004.1_all.deb
Size: 196352
MD5sum: cd788471f0ebc5fa6bcc3145dbb656c5
SHA1: edf3875088a07d8b84a424b72467e074f0682fdb
SHA256: 0959730a4addf8c97b22dea9e63c29d917040af9808f998e5135d860a1ce4d5f
SHA512: 1073fa67ab2ae3aed1c89b9506b080f08328f284ea01ab38995d0039d64a4e04c765187355d0d430326aa4d2cf1ee41861eeb8b7ba66a9f5bf0c2c54eba378fb
Homepage: https://cran.r-project.org/package=neonstore
Description: CRAN Package 'neonstore' (NEON Data Store)
 The National Ecological Observatory Network (NEON) provides access to its
 numerous data products through its REST API,
 <https://data.neonscience.org/data-api/>. This package provides a high-level
 user interface for downloading and storing NEON data products.  Unlike
 'neonUtilities', this package will avoid repeated downloading, provides
 persistent storage, and improves performance.  'neonstore' can also
 construct a local 'duckdb' database of stacked tables, making it possible to
 work with tables that are far to big to fit into memory.

Package: r-cran-neonutilities
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-downloader, r-cran-data.table, r-cran-r.utils, r-cran-tidyr, r-cran-stringr, r-cran-pbapply, r-cran-curl
Suggests: r-bioc-rhdf5, r-cran-terra, r-cran-testthat, r-cran-fasttime
Filename: pool/dists/focal/main/r-cran-neonutilities_2.4.3-1.ca2004.1_all.deb
Size: 447156
MD5sum: 266460a4dff3d8d24f1194029a91e103
SHA1: 8e6d53bfe58f1dba4f4b8d96b8acf681436dd829
SHA256: 51ac98f9b3a943310d4759b02cd2a0c11fab188b4795749d4ccbf1b480fe4f0a
SHA512: bed26231fdc7e7a6559346a6ea1af4ff374127617d82d2b4440fa2d564c65eb0a240033d30944c1eff0c1e1ca11958737447e4afbedba8b7a870b3b1dad7abfd
Homepage: https://cran.r-project.org/package=neonUtilities
Description: CRAN Package 'neonUtilities' (Utilities for Working with NEON Data)
 NEON data packages can be accessed through the NEON Data Portal
 <https://www.neonscience.org> or through the NEON Data API (see
 <https://data.neonscience.org/data-api> for documentation). Data delivered
 from the Data Portal are provided as monthly zip files packaged within a
 parent zip file, while individual files can be accessed from the API. This
 package provides tools that aid in discovering, downloading, and
 reformatting data prior to use in analyses. This includes downloading data
 via the API, merging data tables by type, and converting formats. For more
 information, see the readme file at
 <https://github.com/NEONScience/NEON-utilities>.

Package: r-cran-neotoma2
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2343
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-magrittr, r-cran-sf, r-cran-geojsonsf, r-cran-purrr, r-cran-lubridate, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-gtools, r-cran-leaflet, r-cran-assertthat, r-cran-stringr, r-cran-progress, r-cran-wk, r-cran-uuid, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-ggplot2, r-cran-bchron, r-cran-covr
Filename: pool/dists/focal/main/r-cran-neotoma2_1.0.6-1.ca2004.1_all.deb
Size: 1106968
MD5sum: d90f079d37a9f1b10cfc91f665dc5f28
SHA1: 1eb73aa0d684dbd09e67d734e72e5b38c0f1681a
SHA256: c76c52b4a61bcc91037a645c9c1ad1c72dfceecabc17d32f6d06914517cf1dfd
SHA512: b4bfc1aae28a9f179a7995cd37cc18deb097a72aeb89b1f9ba645595c4065e647b05b111b1ff779ca0a9cd291f9a6c0d6aabf6c6fc4be01363ca91042b55c672
Homepage: https://cran.r-project.org/package=neotoma2
Description: CRAN Package 'neotoma2' (Working with the Neotoma Paleoecology Database)
 Access and manipulation of data using the Neotoma Paleoecology Database.
 <https://api.neotomadb.org/api-docs/>.

Package: r-cran-neotoma
Architecture: all
Version: 1.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1704
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-reshape2, r-cran-jsonlite, r-cran-httr, r-cran-xml2, r-cran-analogue, r-cran-leaflet, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-neotoma_1.7.4-1.ca2004.1_all.deb
Size: 1527112
MD5sum: b22b777f970642996113c4392a9fa62c
SHA1: be60dea38f8a1ae1b6fd6d88180abdccf7fac73c
SHA256: f3f7499d0ef92d53a1cde17b453ce7c3406ccdf6fd85218cabae66f737352ba2
SHA512: 01082438b64c3578ce5251b3cce5578b576de47b2f6c7138f41645cfeb56996bee88afb88165ed1d7d05701ee5ce8c6c7a82cdff62dd27cdaab05d1b3d18783e
Homepage: https://cran.r-project.org/package=neotoma
Description: CRAN Package 'neotoma' (Access to the Neotoma Paleoecological Database Through R)
 Access paleoecological datasets from the Neotoma Paleoecological Database
 using the published API (<http://api.neotomadb.org/>).  The functions in
 this package access various pre-built API functions and attempt to return
 the results from Neotoma in a usable format for researchers and the public.

Package: r-cran-nephro
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nephro_1.5-1.ca2004.1_all.deb
Size: 114680
MD5sum: b41da382b066a4fea79ac1ecf6799b18
SHA1: 1e9f308a67081575132f96e33daeeab1049d03ae
SHA256: fd96a9ee9ed0642ae3c5d3d04f935390019c7179c070d4cb775f0eaa9a18f8cf
SHA512: 5a34e01d1d2d605ed67b5b0d556380e061f0a31fcbb209a9db48f643afdbbd11232ac2d5d85e46d668a6e0e6de6b051d06f74f375ce373c59719843866251764
Homepage: https://cran.r-project.org/package=nephro
Description: CRAN Package 'nephro' (Utilities for Nephrology)
 Set of functions to estimate kidney function and other traits of interest in
 nephrology.

Package: r-cran-nepic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-paireddata
Filename: pool/dists/focal/main/r-cran-nepic_1.0.1-1.ca2004.1_all.deb
Size: 47388
MD5sum: c7c247c6fec07a336a0f73c06d083063
SHA1: db692c701d2d3cf30f1d8dd3af9779de01249e70
SHA256: 4d2f824cadb65d3f1dfde1f574904a38a39e139661584d7aea31f6ccd9785910
SHA512: 6a2a690650a3651ddec306b3e2073bd9aae291bd98f8cb8e3af66989cb94f8574c25872824b061aeb605d14702c51433f06ea83467d0e0fa8dc57b39b0d2e3b3
Homepage: https://cran.r-project.org/package=NEpiC
Description: CRAN Package 'NEpiC' (Network Assisted Algorithm for Epigenetic Studies Using Mean andVariance Combined Signals)
 Package for a Network assisted algorithm for Epigenetic studies using mean
 and variance Combined signals: NEpiC. NEpiC combines both signals in mean
 and variance differences in methylation level between case and control
 groups searching for differentially methylated sub-networks (modules) using
 the protein-protein interaction network.

Package: r-cran-neptune
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-this.path, r-cran-rstudioapi, r-cran-ggplot2, r-cran-plotly, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-neptune_0.2.3-1.ca2004.1_all.deb
Size: 110100
MD5sum: 5fdc47263b231c6ca1a1bb7d95a60af6
SHA1: 04d97341aa019c47dcdc29dd62b5eab5a874c37b
SHA256: a144e954d1eb7bf978799d3a109479a4b042cd6e0f508982ff03b60dc74938cc
SHA512: d464868264b86c98d3ae270869f8b715593f570df99c77d072c6209ca0d0e13b86393689ad3cedd28f2a9b269351d6f5f4ef3f32ce1d250ce3288525d0f793a0
Homepage: https://cran.r-project.org/package=neptune
Description: CRAN Package 'neptune' (MLOps Metadata Store - Experiment Tracking and Model Registryfor Production Teams)
 An interface to Neptune. A metadata store for MLOps, built for teams that
 run a lot of experiments.  It gives you a single place to log, store,
 display, organize, compare, and query all your model-building metadata.
 Neptune is used for: • Experiment tracking: Log, display, organize, and
 compare ML experiments in a single place.  • Model registry: Version, store,
 manage, and query trained models, and model building metadata.  • Monitoring
 ML runs live: Record and monitor model training, evaluation, or production
 runs live For more information see <https://neptune.ai/>.

Package: r-cran-nesrdata
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Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 311
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rappdirs, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-dataone
Filename: pool/dists/focal/main/r-cran-nesrdata_0.3.1-1.ca2004.1_all.deb
Size: 161880
MD5sum: e123e0da0a1357cb2e0dafa6df94ed55
SHA1: 015d03a150e8e67b870b5b4db76cc86bf12f7e25
SHA256: 0cebaf22c2c5d6cd8011fef74d05cac52fc886702956cab9d8bc13c850c4281f
SHA512: 04a009c4d2cab0585beae041590d65b4d90e57920deca6c0ffd3fe2c0e165b407df6b9eca7a61f460aa896089c67ebe8730549f8b323e36cde4bed7e058851a0
Homepage: https://cran.r-project.org/package=nesRdata
Description: CRAN Package 'nesRdata' (National Eutrophication Survey Data)
 Serves data from the United States Environmental Protection Agency (USEPA)
 National Eutrophication Survey
 <https://www.epa.gov/national-aquatic-resource-surveys>.

Package: r-cran-nestcolor
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-ggplot2, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nestcolor_0.1.3-1.ca2004.1_all.deb
Size: 385696
MD5sum: 4be93e6034578f90a47a5753e7ce139b
SHA1: 4393a3e16f2f192af2a457653cda707fc88f6518
SHA256: 2881522c8c00f582fb9fecff7626f51145db1013b78229c9d510d492e2789a5e
SHA512: 02447f75c80f6703dd4518b9c675f575c374b89d93738f30c976313239a242c092de58090f2692a67c999c8052f9af74c0615b6779fe9668d5a85218fbf55ba9
Homepage: https://cran.r-project.org/package=nestcolor
Description: CRAN Package 'nestcolor' (Colors for NEST Graphs)
 Clinical reporting figures require to use consistent colors and
 configurations. As a part of the Roche open-source clinical reporting
 project, namely the NEST project, the 'nestcolor' package specifies the
 color code and default theme with specifying 'ggplot2' theme parameters.
 Users can easily customize color and theme settings before using the reset
 of NEST packages to ensure consistent settings in both static and
 interactive output at the downstream.

Package: r-cran-nestedcv
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Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4764
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-future.apply, r-cran-ggplot2, r-cran-glmnet, r-cran-matrixstats, r-cran-matrixtests, r-cran-proc, r-cran-rfast, r-cran-rhpcblasctl, r-cran-rlang, r-cran-rocr
Suggests: r-cran-boruta, r-cran-corelearn, r-cran-fastshap, r-cran-gbm, r-cran-ggbeeswarm, r-cran-ggpubr, r-cran-hsstan, r-cran-mda, r-cran-mlbench, r-cran-pbapply, r-cran-pls, r-cran-randomforest, r-cran-ranger, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-knitr, r-cran-superlearner
Filename: pool/dists/focal/main/r-cran-nestedcv_0.8.0-1.ca2004.1_all.deb
Size: 2080228
MD5sum: 784a4560242421c8401285192cf97337
SHA1: 341f5fbfc049b8cf939eac58c60c883b566660f8
SHA256: 0690fcca8c0fcc84f62c42c060bd9d890af864082269d7bed404b37d4df3bc63
SHA512: 9da4c8885c2e9330e78f91e9cd0426ad8a20599746efa3201613617eb445b17a31224a66c348400520e4e63f32b08eaa4473807d2f0c40e997390268a59e8438
Homepage: https://cran.r-project.org/package=nestedcv
Description: CRAN Package 'nestedcv' (Nested Cross-Validation with 'glmnet' and 'caret')
 Implements nested k*l-fold cross-validation for lasso and elastic-net
 regularised linear models via the 'glmnet' package and other machine
 learning models via the 'caret' package <doi:10.1093/bioadv/vbad048>.
 Cross-validation of 'glmnet' alpha mixing parameter and embedded fast filter
 functions for feature selection are provided. Described as double
 cross-validation by Stone (1977) <doi:10.1111/j.2517-6161.1977.tb01603.x>.
 Also implemented is a method using outer CV to measure unbiased model
 performance metrics when fitting Bayesian linear and logistic regression
 shrinkage models using the horseshoe prior over parameters to encourage a
 sparse model as described by Piironen & Vehtari (2017)
 <doi:10.1214/17-EJS1337SI>.

Package: r-cran-nestedlogit
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Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-car, r-cran-dplyr, r-cran-effects, r-cran-stringr, r-cran-tibble
Suggests: r-cran-cardata, r-cran-geomtextpath, r-cran-ggplot2, r-cran-ggeffects, r-cran-here, r-cran-lobstr, r-cran-knitr, r-cran-nnet, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tidyr
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Size: 531188
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SHA256: ba5520e215b7cafef57dd1fc4cf08ed1d77ff6361410ce7a037115cde487aa4c
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Homepage: https://cran.r-project.org/package=nestedLogit
Description: CRAN Package 'nestedLogit' (Nested Dichotomy Logistic Regression Models)
 Provides functions for specifying and fitting nested dichotomy logistic
 regression models for a multi-category response and methods for summarising
 and plotting those models.  Nested dichotomies are statistically
 independent, and hence provide an additive decomposition of tests for the
 overall 'polytomous' response.  When the dichotomies make sense
 substantively, this method can be a simpler alternative to the standard
 'multinomial' logistic model which compares response categories to a
 reference level.  See: J. Fox (2016), "Applied Regression Analysis and
 Generalized Linear Models", 3rd Ed., ISBN 1452205663.

Package: r-cran-nestedmenu
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jquerylib, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-nestedmenu_0.2.0-1.ca2004.1_all.deb
Size: 59616
MD5sum: 9a7eedc70e7d13ec8cd017025e618fa5
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Homepage: https://cran.r-project.org/package=NestedMenu
Description: CRAN Package 'NestedMenu' (A Nested Menu Widget for 'Shiny' Applications)
 Provides a nested menu widget for usage in 'Shiny' applications. This is
 useful for hierarchical choices (e.g. continent, country, city).

Package: r-cran-nestedmodels
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-foreach, r-cran-generics, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-parsnip, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-broom, r-cran-covr, r-cran-doparallel, r-cran-ggrepel, r-cran-glmnet, r-cran-glue, r-cran-hardhat, r-cran-knitr, r-cran-patchwork, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-tidyselect, r-cran-tune, r-cran-vdiffr, r-cran-withr, r-cran-workflows
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Homepage: https://cran.r-project.org/package=nestedmodels
Description: CRAN Package 'nestedmodels' (Tidy Modelling for Nested Data)
 A modelling framework for nested data using the 'tidymodels' ecosystem.
 Specify how to nest data using the 'recipes' package, create testing and
 training splits using 'rsample', and fit models to this data using the
 'parsnip' and 'workflows' packages. Allows any model to be fit to nested
 data.

Package: r-cran-nestedpp
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Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
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Size: 39440
MD5sum: 9ddf638d1c11b1a3cfaa7b581823a121
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SHA256: 740b6e81cc10625fe9975899f226c228e633f750e1f07277c4af484d1d75c03d
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Homepage: https://cran.r-project.org/package=nestedpp
Description: CRAN Package 'nestedpp' (Performance Profiles and Nested Performance Profiles)
 Library to plot performance profiles (Dolan and More (2002)
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 Mirhajianmoghadam (2019) <doi:10.19139/soic-2310-5070-679>) for a given data
 frame.

Package: r-cran-nestfs
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Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dgof, r-cran-proc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nestfs_1.0.3-1.ca2004.1_all.deb
Size: 248016
MD5sum: c44941bf1230cc4d1415f7f1211a34c9
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Description: CRAN Package 'nestfs' (Cross-Validated (Nested) Forward Selection)
 Implementation of forward selection based on cross-validated linear and
 logistic regression.

Package: r-cran-nestr
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Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-vctrs, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nestr_0.1.2-1.ca2004.1_all.deb
Size: 31316
MD5sum: c365e022297576da885fc3959dec61e9
SHA1: bfe1b6149c12979612528dd64f19caecad7236a1
SHA256: 5eb4bf7b1ce8a210cf57133c896663509110a9ed962b9ec3dab6e04148c8136c
SHA512: 03abd26b50b70ffb7d25a55d95c66175965215cf4aeab91d19cec5384a831b37f02340297e905f701639f9990f85e95cb935277eb717a034c4919290db7ca868
Homepage: https://cran.r-project.org/package=nestr
Description: CRAN Package 'nestr' (Build Nesting or Hierarchical Structures)
 Facilitates building a nesting or hierarchical structure as a list or data
 frame by using a human friendly syntax.

Package: r-cran-net4pg
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1589
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-bioc-graph, r-cran-magrittr, r-cran-matrix
Suggests: r-bioc-biocstyle, r-cran-ggplot2, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-net4pg_0.1.1-1.ca2004.1_all.deb
Size: 744888
MD5sum: c7087ae967bf50d4a3872d5274554ebc
SHA1: b4e9fc07cc1a3387ceb55e8e3e505e22bbf9ed4e
SHA256: 4f506d64c73ce9d845290826e6ebd97ebc1266b3e9e7001215f9e6de48108679
SHA512: e430ccdab3ab4ec6a0ab43d75094f866b1308ff2dd1c8f0ea8cff34fbf71d3f43f0ca109787398f4efdaa58d4e9a4673c7f3b75ffae074299dc602003da69447
Homepage: https://cran.r-project.org/package=net4pg
Description: CRAN Package 'net4pg' (Handle Ambiguity of Protein Identifications from ShotgunProteomics)
 In shotgun proteomics, shared peptides (i.e., peptides that might originate
 from different proteins sharing homology, from different proteoforms due to
 alternative mRNA splicing, post-translational modifications, proteolytic
 cleavages, and/or allelic variants) represent a major source of ambiguity in
 protein identifications. The 'net4pg' package allows to assess and handle
 ambiguity of protein identifications. It implements methods for two main
 applications. First, it allows to represent and quantify ambiguity of
 protein identifications by means of graph connected components (CCs). In
 graph theory, CCs are defined as the largest subgraphs in which any two
 vertices are connected to each other by a path and not connected to any
 other of the vertices in the supergraph. Here, proteins sharing one or more
 peptides are thus gathered in the same CC (multi-protein CC), while
 unambiguous protein identifications constitute CCs with a single protein
 vertex (single-protein CCs). Therefore, the proportion of single-protein CCs
 and the size of multi-protein CCs can be used to measure the level of
 ambiguity of protein identifications. The package implements a strategy to
 efficiently calculate graph connected components on large datasets and
 allows to visually inspect them.  Secondly, the 'net4pg' package allows to
 exploit the increasing availability of matched transcriptomic and proteomic
 datasets to reduce ambiguity of protein identifications. More precisely, it
 implement a transcriptome-based filtering strategy fundamentally consisting
 in the removal of those proteins whose corresponding transcript is not
 expressed in the sample-matched transcriptome. The underlying assumption is
 that, according to the central dogma of biology, there can be no proteins
 without the corresponding transcript. Most importantly, the package allows
 to visually inspect the effect of the filtering on protein identifications
 and quantify ambiguity before and after filtering by means of graph
 connected components. As such, it constitutes a reproducible and transparent
 method to exploit transcriptome information to enhance protein
 identifications. All methods implemented in the 'net4pg' package are fully
 described in Fancello and Burger (2022) <doi:10.1186/s13059-022-02701-2>.

Package: r-cran-netassoc
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-infotheo, r-cran-corpcor, r-cran-huge, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-netassoc_0.7.0-1.ca2004.1_all.deb
Size: 46688
MD5sum: f2f2261ba4af86b292818e34da7e474a
SHA1: a0b9b1d7c8145e04bb20c2894023bd84d668af91
SHA256: 0b9f70e4057d12b7d8ebd9f1eef8976fb4da54ac6d065b4757d8269a3061571f
SHA512: a5a06bc28bc76d5530b1214112068686dfa9039dd0e115697b3d2cc5d9f496d4e5a8794c2aeb370e7ff4d2fe2298aaf8cc8a3cac8cc48a17e34e91ecff3dd164
Homepage: https://cran.r-project.org/package=netassoc
Description: CRAN Package 'netassoc' (Inference of Species Associations from Co-Occurrence Data)
 Infers species associations from community matrices. Uses local and
 (optional) regional-scale co-occurrence data by comparing observed partial
 correlation coefficients between species to those estimated from regional
 species distributions. Extends Gaussian graphical models to a null modeling
 framework. Provides interface to a variety of inverse covariance matrix
 estimation methods.

Package: r-cran-netcluster
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sna
Filename: pool/dists/focal/main/r-cran-netcluster_0.2-1.ca2004.1_all.deb
Size: 26160
MD5sum: 28ace1af39f0b3308f562ff5e4e2dc0d
SHA1: ee639eccf55d89731208423f929e4a2a8a4346e5
SHA256: 565da4e5b8f9ec00232e4f418282098caebe5585850bfee2a9719ab871d480fe
SHA512: a0b0033c75c3c442f691080497a10049199123e620298b04bda9c0ffd1d52b31b01eb792ee3611e4061d3e03960cd3a8155e2ca00a28d717e8c8e7db7efaaa54
Homepage: https://cran.r-project.org/package=NetCluster
Description: CRAN Package 'NetCluster' (Clustering for networks)
 Facilitates network clustering and evaluation of cluster configurations.

Package: r-cran-netcoin
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rd3plot, r-cran-igraph, r-cran-matrix, r-cran-haven, r-cran-mass, r-cran-gparotation
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lavaan, r-cran-shiny, r-cran-htmltools, r-cran-openxlsx, r-cran-data.table, r-cran-readr
Filename: pool/dists/focal/main/r-cran-netcoin_2.1.0-1.ca2004.1_all.deb
Size: 2073544
MD5sum: 73a061977b76b106861f7cd422247442
SHA1: 74dae82539b2a17ad4ed4150c4232ad99eb4ca61
SHA256: 95aed5894579c57b251a49d1b048f55e4a8efc77c34cc7ca5a11decf6967a652
SHA512: 673ecf51d28bde465d7c89d9fd43c47c2c424b1db9173af5e48aabe0c6892313ba15c050d236dd6f023e018b6aafa3512b70fb7e9e97aa713e65059e1219d404
Homepage: https://cran.r-project.org/package=netCoin
Description: CRAN Package 'netCoin' (Interactive Analytic Networks)
 Create interactive analytic networks. It joins the data analysis power of R
 to obtain coincidences, co-occurrences and correlations, and the
 visualization libraries of 'JavaScript' in one package.

Package: r-cran-netcom
Architecture: all
Version: 2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1354
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-clue, r-cran-expm, r-cran-igraph, r-cran-matrix, r-cran-pdist, r-cran-pracma, r-cran-vegan, r-cran-magrittr, r-cran-foreach, r-cran-doparallel, r-cran-optimx, r-cran-gensa, r-cran-rlang, r-cran-ggfortify, r-cran-ggplot2, r-cran-ggraph, r-cran-reshape2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netcom_2.1.7-1.ca2004.1_all.deb
Size: 993180
MD5sum: 00615bd563dd266d771d280945f52a3a
SHA1: 7f4e4cc4647eeb881239242140e02259f424dbcb
SHA256: df619890412f7866e9ab27559295721d19f9bd37d8b7b74b29626e4de6b3487d
SHA512: 2183962458d8d2cf2c07cc125b1333b2a9c7a4d836e1b62b0bfdb37a273f89063b321264fe3875957878fb727a954a7750e287347e199385aae417104633d800
Homepage: https://cran.r-project.org/package=netcom
Description: CRAN Package 'netcom' (NETwork COMparison Inference)
 Infer system functioning with empirical NETwork COMparisons. These methods
 are part of a growing paradigm in network science that uses relative
 comparisons of networks to infer mechanistic classifications and predict
 systemic interventions. They have been developed and applied in Langendorf
 and Burgess (2021) <doi:10.1038/s41598-021-99251-7>, Langendorf (2020)
 <doi:10.1201/9781351190831-6>, and Langendorf and Goldberg (2019)
 <doi:10.48550/arXiv.1912.12551>.

Package: r-cran-netcoupler
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1909
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ids, r-cran-igraph, r-cran-lifecycle, r-cran-magrittr, r-cran-pcalg, r-cran-ppcor, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-tidygraph
Suggests: r-cran-broom, r-cran-furrr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netcoupler_0.1.1-1.ca2004.1_all.deb
Size: 485152
MD5sum: 9408ed245010465f179f2ceedf321a1a
SHA1: 3631ba3ee89f613256b313b5bf2c0cb31ffbe544
SHA256: 9ae82f2dd91aaf1c94475f570541e408909a8784a7d474da696d4e7a3f759a11
SHA512: f30d67b61e2cbd8b46e45c527294e20653e588e3e1274d9d84c30d97440893d88a32e3d1aff1fea9693da683286420ffcac505c99074f1d248e92cc5f24e68dc
Homepage: https://cran.r-project.org/package=NetCoupler
Description: CRAN Package 'NetCoupler' (Inference of Causal Links Between a Network and an ExternalVariable)
 The 'NetCoupler' algorithm identifies potential direct effects of
 correlated, high-dimensional variables formed as a network with an external
 variable. The external variable may act as the dependent/response variable
 or as an independent/predictor variable to the network.

Package: r-cran-netcutter
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-poissonbinomial, r-cran-rlecuyer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-qpdf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netcutter_0.3.1-1.ca2004.1_all.deb
Size: 47128
MD5sum: 40baef33b967ceb53159b1b0f29ef20d
SHA1: ce8a240f0deacfff1c429a2ab2fd24053dafc65c
SHA256: 6f80398923f4a049448a591ecba3e34c89eee97329208014db25a961011fe916
SHA512: 5ecd5a0097ba502d4ec32a33d4a118c9875a11287a0ccf1a2f03f097d0062c26063c94662f1f7b026009a61d27f7fa233cc52ad82fe8d0e01fb755c420f90c36
Homepage: https://cran.r-project.org/package=netcutter
Description: CRAN Package 'netcutter' (Identification and Analysis of Co-Occurrence Networks)
 Implementation of the NetCutter algorithm described in Müller and Mancuso
 (2008) <doi:10.1371/journal.pone.0003178>. The package identifies
 co-occurring terms in a list of containers. For example, it may be used to
 detect genes that co-occur across genomes.

Package: r-cran-netdose
Architecture: all
Version: 0.6-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-netmeta, r-cran-mass, r-cran-hmisc, r-cran-meta, r-cran-ggplot2, r-cran-gridextra, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-netdose_0.6-0-1.ca2004.1_all.deb
Size: 184156
MD5sum: d375a728e1475f19259f9900fba35316
SHA1: 6897159f98cc7f28d460481500d1c7bb2c965c97
SHA256: 166a0911e5dee5d4772b0a06a8fea36f1d8f8fd4c3a66d2f48cc5312de5e27a2
SHA512: da9686f64686b8ff6dcd43fc46c0b5bc866982aadd93720482c821a70ff106cc505e56be719e51dcbe15576212edce1d77450c77e852309deb0d28e1af68b991
Homepage: https://cran.r-project.org/package=netdose
Description: CRAN Package 'netdose' (Dose-Response Network Meta-Analysis in a Frequentist Way)
 A set of functions providing the implementation of the network meta-analysis
 model with dose-response relationships, predicted values of the fitted model
 and dose-response plots in a frequentist way.

Package: r-cran-netexplorer
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-netexplorer_0.0.2-1.ca2004.1_all.deb
Size: 283928
MD5sum: caa884307a790d5552051768905487ec
SHA1: b21fe21e64ba520f4b5cf9a1461ef822175c30af
SHA256: 21e154272616481b762549156e261d4410c7e2895c5619461c7c07b380eb91a0
SHA512: fa3a2121fc878725c881d44f470323d840fadb8c97ee48104fd0e7a66df025c95e250fd8cd95e7d09d5dd8774a0b50b16e8a4969623917ac6339fec388ebe9af
Homepage: https://cran.r-project.org/package=NetExplorer
Description: CRAN Package 'NetExplorer' (Network Explorer)
 Social network analysis has become an essential tool in the study of complex
 systems. 'NetExplorer' allows to visualize and explore complex systems. It
 is based on 'd3js' library that brings 1) Graphical user interface; 2)
 Circular, linear, multilayer and force Layout; 3) Network live exploration
 and 4) SVG exportation.

Package: r-cran-netgen
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-mvtnorm, r-cran-lhs, r-cran-checkmate, r-cran-ggplot2, r-cran-igraph, r-cran-stringr
Suggests: r-cran-testthat, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-netgen_1.3.2-1.ca2004.1_all.deb
Size: 202608
MD5sum: ff6d65b90a5f57e076e39852bd1a7f87
SHA1: fd051859446d932b254c441bae4e7d379363309b
SHA256: ca969ec72efc4252e0c47d2cd1ecabd9d9512130da3273a0896b23849aefa82f
SHA512: da5d14c7f208d953aacc65a093ce1bf455971e9cefa28cc42b035e8f26419388efbe2a59a2393b530f5ac0a2950a8b1a9b44429e294096fc8598522a3d229ca3
Homepage: https://cran.r-project.org/package=netgen
Description: CRAN Package 'netgen' (Network Generator for Combinatorial Graph Problems)
 Methods for the generation of a wide range of network geographies, e.g.,
 grid networks or clustered networks. Useful for the generation of
 benchmarking instances for the investigation of, e.g.,
 Vehicle-Routing-Problems or Travelling Salesperson Problems.

Package: r-cran-netgreg
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-huge, r-cran-glmnet, r-cran-dplyr, r-cran-plsgenomics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netgreg_0.0.2-1.ca2004.1_all.deb
Size: 18796
MD5sum: ab77c618a05f22d15525898d8b0a727e
SHA1: 54ca59de6a40c87476bd8ccc6000e8ea097b8d44
SHA256: 2025f166f1fa9a7c0911814230574771d74c5825d89fcad1d74b8813f9eb2ab6
SHA512: 2695c3b888f2caffafeb915fc919e36bb07f1829216ce3047e25c218f7d372d30dc875716a9b0f5607a6f1251ab0abfd75b9c61fdbafe899479f66fdb08a7d43
Homepage: https://cran.r-project.org/package=NetGreg
Description: CRAN Package 'NetGreg' (Network-Guided Penalized Regression (NetGreg))
 A network-guided penalized regression framework that integrates network
 characteristics from Gaussian graphical models with partial penalization,
 accounting for both network structure (hubs and non-hubs) and clinical
 covariates in high-dimensional omics data, including transcriptomics and
 proteomics. The full methodological details can be found in our recent
 preprint by Ahn S and Oh EJ (2025) <doi:10.48550/arXiv.2505.22986>.

Package: r-cran-netgwas
Architecture: all
Version: 1.14.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-qtl, r-cran-glasso, r-cran-mass, r-cran-huge, r-cran-tmvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netgwas_1.14.3-1.ca2004.1_all.deb
Size: 377692
MD5sum: a038af7bc08252d94486da8bed0ce114
SHA1: d6425c2c312dc49ff8b31fc88cd5b87e235d2011
SHA256: 4ce2c0042ef8526f46244eeb6579513081db59eb00b1f2bf230ac93fdaca3923
SHA512: d52f9c72ced4ef5748bf35f38c3de853db7ab6be04fa85dfc33f71235a2b6c464ba3c8863a68e8bd446e8a781c4ea1bc60bba36166bd78249cefb75ac7f4f1ee
Homepage: https://cran.r-project.org/package=netgwas
Description: CRAN Package 'netgwas' (Network-Based Genome Wide Association Studies)
 A multi-core R package that contains a set of tools based on copula
 graphical models for accomplishing the three interrelated goals in genetics
 and genomics in an unified way: (1) linkage map construction, (2)
 constructing linkage disequilibrium networks, and (3) exploring
 high-dimensional genotype-phenotype network and genotype-
 phenotype-environment interactions networks.  The 'netgwas' package can deal
 with biparental inbreeding and outbreeding species with any ploidy level,
 namely diploid (2 sets of chromosomes), triploid (3 sets of chromosomes),
 tetraploid (4 sets of chromosomes) and so on. We target on high-dimensional
 data where number of variables p is considerably larger than number of
 sample sizes (p >> n).  The computations is memory-optimized using the
 sparse matrix output. The 'netgwas' implements the methodological
 developments in Behrouzi and Wit (2017) <doi:10.1111/rssc.12287> and
 Behrouzi and Wit (2017) <doi:10.1093/bioinformatics/bty777>.

Package: r-cran-netie
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-netie_1.0-1.ca2004.1_all.deb
Size: 43440
MD5sum: 69958c7b491490de52725991e876bff0
SHA1: 6f0b942a35288e0960240cdcc1970d0d2ec0057b
SHA256: 25209afaea607e0a6a494620fdb75d21fae8ea538ccac7ecea2b7f88340a8792
SHA512: 26b8ac9aaccb7eb5d11bb965aac84d511d3f670b126c06169fc7e7a94f087e6db04f7732fade916617e3ad554e81712cd388a3af0e9a515ab153a0ef923dca12
Homepage: https://cran.r-project.org/package=netie
Description: CRAN Package 'netie' (Antigen T Cell Interaction Estimation)
 The Bayesian hierarchical model named antigen-T cell interaction estimation
 is to estimate the history of the immune pressure on the evolution of the
 tumor clones.The model is based on the estimation result from Andrew Roth
 (2014) <doi:10.1038/nmeth.2883>.

Package: r-cran-netindices
Architecture: all
Version: 1.4.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Suggests: r-cran-lim
Filename: pool/dists/focal/main/r-cran-netindices_1.4.4.1-1.ca2004.1_all.deb
Size: 135452
MD5sum: cb663024d25e8ac5233c47832df0e0f8
SHA1: 3c8269fef7e0d7a5126bdba50ea3126c150e72f7
SHA256: 615a4f8f789395512e1c4d00efbbce32f1b71c6f6396a6cfd3e3bd04e7345e77
SHA512: 8f4e2e8daac102883cd21b449ee840f71bbbeedae9c36a48cac1ad9ef52d7298a969a23de05282f1c4315050423fedaa8dddf8e6f0e6814154d792b3dc5fead9
Homepage: https://cran.r-project.org/package=NetIndices
Description: CRAN Package 'NetIndices' (Estimating Network Indices, Including Trophic Structure ofFoodwebs in R)
 Given a network (e.g. a food web), estimates several network indices. These
 include: Ascendency network indices, Direct and indirect dependencies,
 Effective measures, Environ network indices, General network indices,
 Pathway analysis, Network uncertainty indices and constraint efficiencies
 and the trophic level and omnivory indices of food webs.

Package: r-cran-netint
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-netint_1.0.1-1.ca2004.1_all.deb
Size: 201512
MD5sum: 7394e7208d87b2c606d9ed16928749e5
SHA1: af4c1194901076faa61b72133a9519387c5a5c04
SHA256: e82315a25b5805ff6fe8943f6b92d8fc20c8aee0cb4dae82a1ec2682fda8d4f1
SHA512: efdb54094e617edd3069ad9a19dc6ac9a675b5a2de249634d653872a82f8843b3100c9d299dfa28bb3a6213c8152e25d379b8932354d52e3d498220753944e8b
Homepage: https://cran.r-project.org/package=NetInt
Description: CRAN Package 'NetInt' (Methods for Unweighted and Weighted Network Integration)
 Implementation of network integration approaches comprising unweighted and
 weighted integration methods. Unweighted integration is performed
 considering the average, per-edge average, maximum and minimum of networks
 edges. Weighted integration takes into account a weight for each network
 during the fusion process, where the weights express the ''predictiveness
 strength'' of each network considering a specific predictive task. Weights
 can be learned using a machine learning algorithm able to associate the
 weights to the assessment of the accuracy of the learning algorithm trained
 on the network itself. The implemented methods can be applied to effectively
 integrate different biological networks modelling a wide range of problems
 in bioinformatics (e.g. disease gene prioritization, protein function
 prediction, drug repurposing, clinical outcome prediction).

Package: r-cran-netjack
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-braingraph, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-netjack_1.2.0-1.ca2004.1_all.deb
Size: 241964
MD5sum: 184d45b426c2a28ea5d9f97c3be1e752
SHA1: 244f1d6213f95f780c1482c52a02d1e06fdb23e8
SHA256: cf975f5980133dec5085a37e65ab766fa50e43d5dad7f883e31c192463bf327a
SHA512: 187b401fe2e60d13d9d57780f5b06afb4942f7da8bf67030694a91352b6165a1d08e3e4a415dd08d7f4a6db1a8989878a139febc8b8b11cf25afbb99ac4dc344
Homepage: https://cran.r-project.org/package=netjack
Description: CRAN Package 'netjack' (Tools for Working with Samples of Networks)
 Tools for managing large sets of network data and performing whole network
 analysis.  This package is focused on the network based statistic jackknife
 method, and implements a framework that can be extended to other network
 manipulations and analyses.

Package: r-cran-netknitr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2724
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openxlsx, r-cran-shiny, r-cran-shinydashboard, r-cran-dplyr, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netknitr_0.2.1-1.ca2004.1_all.deb
Size: 665764
MD5sum: 49540bbffa0199d1474b1d120a2eb5bc
SHA1: f4dde471348d96c0643b3ac392452aba14c8afa0
SHA256: 424f0aa92032e988e11a57ba9a4f591e88f0ba13799c948b36238d87d2d591ba
SHA512: 97b67df7466b5aa938fdb9a1c703cb1997c4231750b38d3324f7195d06baa24ce893cd480c808f4a3acb19bc1d310fb801fe15f2b88b5883d9fa316b47701ac3
Homepage: https://cran.r-project.org/package=netknitr
Description: CRAN Package 'netknitr' (Knit Network Map for any Dataset)
 Designed to create interactive and visually compelling network maps using R
 Shiny. It allows users to quickly analyze CSV files and visualize complex
 relationships, structures, and connections within data by leveraging
 powerful network analysis libraries and dynamic web interfaces.

Package: r-cran-netlogor
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1508
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-quickplot, r-cran-terra
Suggests: r-cran-circstats, r-cran-covr, r-cran-knitr, r-cran-microbenchmark, r-cran-raster, r-cran-rmarkdown, r-cran-sf, r-cran-sp, r-cran-spades.core, r-cran-spades.tools, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-netlogor_1.0.5-1.ca2004.1_all.deb
Size: 836980
MD5sum: 2b557f553b3ffeb97097e78498f4305f
SHA1: b95c97bc4d8a7af18c2d1d8ec8b1fa7314851789
SHA256: 19f73301e9e61e92447c619fc1cdb71ada7d79aefcc4a72c3fd34e60c7026767
SHA512: a28d51da74cfd99f9a847755b47a2ea0848054b567559355b86ad2b6ab02741f56195ff650a5e1642b633d537f22fe6f2355e0ea1400d8502f036f1d3d4d1d57
Homepage: https://cran.r-project.org/package=NetLogoR
Description: CRAN Package 'NetLogoR' (Build and Run Spatially Explicit Agent-Based Models)
 Build and run spatially explicit agent-based models using only the R
 platform. 'NetLogoR' follows the same framework as the 'NetLogo' software
 (Wilensky (1999) <http://ccl.northwestern.edu/netlogo/>) and is a
 translation in R of the structure and functions of 'NetLogo'.  'NetLogoR'
 provides new R classes to define model agents and functions to implement
 spatially explicit agent-based models in the R environment.  This package
 allows benefiting of the fast and easy coding phase from the highly
 developed 'NetLogo' framework, coupled with the versatility, power and
 massive resources of the R software.  Examples of two models from the
 NetLogo software repository (Ants
 <http://ccl.northwestern.edu/netlogo/models/Ants>) and Wolf-Sheep-Predation
 (<http://ccl.northwestern.edu/netlogo/models/WolfSheepPredation>), and a
 third, Butterfly, from Railsback and Grimm (2012)
 <https://www.railsback-grimm-abm-book.com/>, all written using 'NetLogoR'
 are available.  The 'NetLogo' code of the original version of these models
 is provided alongside.  A programming guide inspired from the 'NetLogo'
 Programming Guide
 (<https://ccl.northwestern.edu/netlogo/docs/programming.html>) and a
 dictionary of 'NetLogo' primitives
 (<https://ccl.northwestern.edu/netlogo/docs/dictionary.html>) equivalences
 are also available.  NOTE: To increment 'time', these functions can use a
 for loop or can be integrated with a discrete event simulator, such as
 'SpaDES' (<https://cran.r-project.org/package=SpaDES>).  The suggested
 package 'fastshp' can be installed with 'install.packages("fastshp", repos =
 ("<https://rforge.net>"), type = "source")'.

Package: r-cran-netmap
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggnetwork, r-cran-igraph, r-cran-network, r-cran-rlang, r-cran-sf, r-cran-sna
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netmap_0.1.4-1.ca2004.1_all.deb
Size: 347320
MD5sum: 625f265c4a04fe16895d3b5dc3c984d2
SHA1: 7cdf0f349e14ed0a77a54e8d4478fe673a4150bc
SHA256: 013b712622f33ea9f69bb7a78cd3dd16fdcf010e6b441bad0fea5b325c3855fd
SHA512: 83b9f210ee2a091b2a0aa3e83f6d04de34e969d64c0ff0bd1da7b8f0a793827ecd90c0608f2464a7402ef7f5a3a7e65cd08063d2fc2201353e453f3c9dd4947f
Homepage: https://cran.r-project.org/package=netmap
Description: CRAN Package 'netmap' (Represent Network Objects on a Map)
 Represent 'network' or 'igraph' objects whose vertices can be represented by
 features in an 'sf' object as a network graph surmising a 'sf' plot. Fits
 into 'ggplot2' grammar.

Package: r-cran-netmediate
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-btergm, r-cran-ergm, r-cran-tergm, r-cran-rsiena, r-cran-sna, r-cran-network, r-cran-ergmargins, r-cran-vgam, r-cran-plyr, r-cran-lme4, r-cran-plm, r-cran-gam, r-cran-intergraph
Suggests: r-cran-matrix, r-cran-igraph, r-cran-relevent, r-cran-statnet, r-cran-statnet.common
Filename: pool/dists/focal/main/r-cran-netmediate_1.1.0-1.ca2004.1_all.deb
Size: 302300
MD5sum: 06ef5be3e26ffe3af12c3d3643dbe45c
SHA1: 8faf1048bb730870b021011d0abca17a5229e6d3
SHA256: faaf67a1caddf5f4d825fbda216dbcfdcee25bc6d208f955fadd3cdf97f870e7
SHA512: e8476e81adcf5ae77f9d783e48fa5994b08e043e6b4932659616909931f4ed47cc083f6aa68d57a787f397ef232ddd5aabe97f05dd8b72b1021a3f12cd8ced92
Homepage: https://cran.r-project.org/package=netmediate
Description: CRAN Package 'netmediate' (Micro-Macro Analysis for Social Networks)
 Estimates micro effects on macro structures (MEMS) and average micro
 mediated effects (AMME).  URL: <https://github.com/sduxbury/netmediate>.
 BugReports: <https://github.com/sduxbury/netmediate/issues>.  Robins, Garry,
 Phillipa Pattison, and Jodie Woolcock (2005) <doi:10.1086/427322>.
 Snijders, Tom A. B., and Christian E. G. Steglich (2015)
 <doi:10.1177/0049124113494573>.  Imai, Kosuke, Luke Keele, and Dustin
 Tingley (2010) <doi:10.1037/a0020761>.  Duxbury, Scott (2023)
 <doi:10.1177/00811750231209040>.  Duxbury, Scott (2024)
 <doi:10.1177/00811750231220950>.

Package: r-cran-netmeta
Architecture: all
Version: 3.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2053
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-meta, r-cran-matrix, r-cran-metafor, r-cran-mass, r-cran-mvtnorm, r-cran-magic, r-cran-igraph, r-cran-ggplot2, r-cran-colorspace, r-cran-dplyr, r-cran-magrittr
Suggests: r-bioc-rgraphviz, r-bioc-graph, r-cran-rgl, r-cran-gridextra, r-cran-tictoc, r-cran-writexl, r-cran-r.rsp, r-cran-cccp, r-cran-brglm2, r-cran-crossnma
Filename: pool/dists/focal/main/r-cran-netmeta_3.2-0-1.ca2004.1_all.deb
Size: 1935864
MD5sum: 7f6e235af45755a6fab0489e3c5c5ee9
SHA1: af1d3414596d2935b9d4aa9da1b2f38953484d38
SHA256: 2ad8644a555192821717f412f37ebed48a6266d35cccf01c11f837ab0074b481
SHA512: 46ca54f8c7c1a6d2a1327b8f658f9eb37d4b956f2f30f1f71de018adb8aa72b7c3974a920b54fe75014364728be654c416adc1ae6f7947a6c8cd44404d1789a0
Homepage: https://cran.r-project.org/package=netmeta
Description: CRAN Package 'netmeta' (Network Meta-Analysis using Frequentist Methods)
 A comprehensive set of functions providing frequentist methods for network
 meta-analysis (Balduzzi et al., 2023) <doi:10.18637/jss.v106.i02> and
 supporting Schwarzer et al. (2015) <doi:10.1007/978-3-319-21416-0>, Chapter
 8 "Network Meta-Analysis": - frequentist network meta-analysis following
 Rücker (2012) <doi:10.1002/jrsm.1058>; - additive network meta-analysis for
 combinations of treatments (Rücker et al., 2020)
 <doi:10.1002/bimj.201800167>; - network meta-analysis of binary data using
 the Mantel-Haenszel or non-central hypergeometric distribution method
 (Efthimiou et al., 2019) <doi:10.1002/sim.8158>, or penalised logistic
 regression (Evrenoglou et al., 2022) <doi:10.1002/sim.9562>; - rankograms
 and ranking of treatments by the Surface under the cumulative ranking curve
 (SUCRA) (Salanti et al., 2013) <doi:10.1016/j.jclinepi.2010.03.016>; -
 ranking of treatments using P-scores (frequentist analogue of SUCRAs without
 resampling) according to Rücker & Schwarzer (2015)
 <doi:10.1186/s12874-015-0060-8>; - split direct and indirect evidence to
 check consistency (Dias et al., 2010) <doi:10.1002/sim.3767>, (Efthimiou et
 al., 2019) <doi:10.1002/sim.8158>; - league table with network meta-analysis
 results; - 'comparison-adjusted' funnel plot (Chaimani & Salanti, 2012)
 <doi:10.1002/jrsm.57>; - net heat plot and design-based decomposition of
 Cochran's Q according to Krahn et al. (2013) <doi:10.1186/1471-2288-13-35>;
 - measures characterizing the flow of evidence between two treatments by
 König et al. (2013) <doi:10.1002/sim.6001>; - automated drawing of network
 graphs described in Rücker & Schwarzer (2016) <doi:10.1002/jrsm.1143>; -
 partial order of treatment rankings ('poset') and Hasse diagram for 'poset'
 (Carlsen & Bruggemann, 2014) <doi:10.1002/cem.2569>; (Rücker & Schwarzer,
 2017) <doi:10.1002/jrsm.1270>; - contribution matrix as described in
 Papakonstantinou et al. (2018) <doi:10.12688/f1000research.14770.3> and
 Davies et al. (2022) <doi:10.1002/sim.9346>; - network meta-regression with
 a single continuous or binary covariate; - subgroup network meta-analysis.

Package: r-cran-netmhc2pan
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-devtools, r-cran-dplyr, r-cran-rappdirs, r-cran-readr, r-cran-seqinr, r-cran-stringr, r-cran-testit, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-netmhc2pan_1.3.2-1.ca2004.1_all.deb
Size: 145872
MD5sum: 2d46870c7c1e613e22fef7f0af309103
SHA1: 846d57bdf47107a3ebbfb7ba72a9c1adcafb6b63
SHA256: ad8485f9dcce10c732490588c1eb9ef602a68519f2f4341ff3d3f54b8903e30b
SHA512: 31ece90c1483b354783ff75983ff35a44fd81481c24a81f2912c1de57961a06ef83ee348a105ea8bd742882cf37bf93967c4847e9f202834b3c1b996d5fdb52b
Homepage: https://cran.r-project.org/package=netmhc2pan
Description: CRAN Package 'netmhc2pan' (Interface to 'NetMHCIIpan')
 The field of immunology benefits from software that can predict which
 peptide sequences trigger an immune response.  'NetMHCIIpan' is a such a
 tool: it predicts the binding strength of a short peptide to a Major
 Histocompatibility Complex class II (MHC-II) molecule.  'NetMHCIIpan' can be
 used from a web server at
 <https://services.healthtech.dtu.dk/services/NetMHCIIpan-3.2/> or from the
 command-line, using a local installation. This package allows to call
 'NetMHCIIpan' from R.

Package: r-cran-netorigin
Architecture: all
Version: 1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-hmisc, r-cran-colorspace, r-cran-mvtnorm, r-cran-corpcor, r-cran-plyr, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-netorigin_1.1-6-1.ca2004.1_all.deb
Size: 198352
MD5sum: 6e027b602654fdea7d14cc93caf829ac
SHA1: 2c2b0ad415bc0054a1d9fbad37fb3189c11e270a
SHA256: 116eb9248cdb53ddcf8a194e8172ad629d3484cffa58e4f6bb7349214d4dc0ef
SHA512: a8e46a0facf2c8564448b92d5a77023b181a30697ef4991d7af69f6c70202a1c6d6260e2dedadba2efa4d23cf87de0515564c09e506e806bfd75ac338758f06a
Homepage: https://cran.r-project.org/package=NetOrigin
Description: CRAN Package 'NetOrigin' (Origin Estimation for Propagation Processes on Complex Networks)
 Performs network-based source estimation. Different approaches are
 available: effective distance median, recursive backtracking, and
 centrality-based source estimation. Additionally, we provide public
 transportation network data as well as methods for data preparation, source
 estimation performance analysis and visualization.

Package: r-cran-netplot
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3264
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-network, r-cran-sna
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-igraphdata, r-cran-intergraph, r-cran-ggraph, r-cran-gridgraphics, r-cran-ggplot2, r-cran-gridextra, r-cran-gridbase, r-cran-magrittr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-netplot_0.3-0-1.ca2004.1_all.deb
Size: 2830832
MD5sum: fe0c4d47a34270cc0eee326b82c073fd
SHA1: 3502b8c1da8e98e3bb366864a84b2799a153c423
SHA256: f43239da9d866121c9ab8cec847c6576fb8aa648e6046de5a99d013e699f703b
SHA512: f07658127df4e68b4451cdac2615352237e483a935f8147798851bc0caf5f755c818539558f4a459339f0717f9c1ef4335fc3ea1577d6ff1070d37e1204f2b61
Homepage: https://cran.r-project.org/package=netplot
Description: CRAN Package 'netplot' (Beautiful Graph Drawing)
 A graph visualization engine that emphasizes on aesthetics at the same time
 providing default parameters that yield out-of-the-box-nice visualizations.
 The package is built on top of 'The Grid Graphics Package' and seamlessly
 work with 'igraph' and 'network' objects.

Package: r-cran-netregr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-knitcitations
Filename: pool/dists/focal/main/r-cran-netregr_1.0.1-1.ca2004.1_all.deb
Size: 616068
MD5sum: 50ee73bd702499b389d605f9cf1b2d40
SHA1: 17debc52433239bbb6ed307c192bf21bae40864e
SHA256: 5592a269ecff7f7fc8bd804cf9c74168402ca363c0f3f81c450789136068da52
SHA512: 7dbc7516ef3132404da601aa2eb5f116c83ae6fa1fd00603553bea7820041b3f4a1e3e897cf73301d62b0b93896a95fff3d9631b9bd20e73d8b8f09ff4d94343
Homepage: https://cran.r-project.org/package=netregR
Description: CRAN Package 'netregR' (Regression of Network Responses)
 Regress network responses (both directed and undirected) onto covariates of
 interest that may be actor-, relation-, or network-valued. In addition,
 compute principled variance estimates of the coefficients assuming that the
 errors are jointly exchangeable. Missing data is accommodated. Additionally
 implements building and inversion of covariance matrices under joint
 exchangeability, and generates random covariance matrices from this class.
 For more detail on methods, see Marrs, Fosdick, and McCormick (2017)
 <arXiv:1701.05530>.

Package: r-cran-netropy
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggraph, r-cran-ggplot2, r-cran-igraph
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-netropy_0.2.0-1.ca2004.1_all.deb
Size: 413272
MD5sum: 2cd3ddb474ec8f936342522aca11de04
SHA1: 0f84884a6c6441f84f994490044c5c3870d01580
SHA256: 3109811483a7a3a6618d099661d4f85f2a4ae7431f8a21467be320d5a646bf5a
SHA512: ea452177b806d2e2485d39671b6c92b9e073916ca1e19a5bfcec8fe91824506a841697fc75b1bf241d35e2b37b494ea894ce3b33f5bcfa0eecdb9ac4a46455d1
Homepage: https://cran.r-project.org/package=netropy
Description: CRAN Package 'netropy' (Statistical Entropy Analysis of Network Data)
 Statistical entropy analysis of network data as introduced by Frank and
 Shafie (2016) <doi:10.1177/0759106315615511>, and a in textbook which is in
 progress.

Package: r-cran-netsci
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-magrittr, r-cran-wto, r-cran-dplyr, r-cran-rfast, r-cran-binr, r-cran-cubature
Suggests: r-cran-codina
Filename: pool/dists/focal/main/r-cran-netsci_1.0.1-1.ca2004.1_all.deb
Size: 74304
MD5sum: 380005b58f88a21712d26136e4567a0a
SHA1: 8c7b5230076a68c57b8f1c8af6562f3192248871
SHA256: aa156e9f75abe35682d16a31960301ec4743755ccbcb3141c11dc84eafa6aeb1
SHA512: ffebe4887ca0d581cdf400adb72f2c31e41f066818d595d261439fda0e339b32a94018509a0014ef64f49d8908f5f60e9496f2a252c9c24133e51bb672d1a487
Homepage: https://cran.r-project.org/package=NetSci
Description: CRAN Package 'NetSci' (Calculates Basic Network Measures Commonly Used in NetworkMedicine)
 Calculates network measures commonly used in Network Medicine. Measures such
 as the Largest Connected Component, the Relative Largest Connected
 Component, Proximity and Separation are calculated along with their
 statistical significance. Significance can be computed both using a
 degree-preserving randomization and non-degree preserving.

Package: r-cran-netseer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fable, r-cran-fabletools, r-cran-forecast, r-cran-future, r-cran-igraph, r-cran-lpsolve, r-cran-matrix, r-cran-rlang, r-cran-tibble, r-cran-tsibble
Suggests: r-cran-feasts, r-cran-nnet, r-cran-urca
Filename: pool/dists/focal/main/r-cran-netseer_0.1.1-1.ca2004.1_all.deb
Size: 328040
MD5sum: e53c01a123cc64c75fd5594179fa4886
SHA1: d0a51edc8cf9f66ef68baab75912fa54f078bceb
SHA256: d5bde9dacd8b26c2e5e9f8e0f679e37760cb95110dbfaa4283eabb5240cc2503
SHA512: d75f72534a48a01fdbc3f751700a32152321f123683e28a772ef47c907c0e790ec7692da579808bde052e16552c3cdb515a852e27d9bbc53b2d7e34f3b6b89f7
Homepage: https://cran.r-project.org/package=netseer
Description: CRAN Package 'netseer' (Graph Prediction from a Graph Time Series)
 Predicting the structure of a graph including new nodes and edges using a
 time series of graphs. Flux balance analysis, a linear and integer
 programming technique used in biochemistry is used with time series
 prediction methods to predict the graph structure at a future time point
 Kandanaarachchi (2024) <doi:10.48550/arXiv.2401.04280>.

Package: r-cran-netseg
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-scales
Filename: pool/dists/focal/main/r-cran-netseg_1.0-3-1.ca2004.1_all.deb
Size: 296072
MD5sum: 2329c8650abf438c069afa8b9e1eb267
SHA1: 14c8f5d10373b3169ad88e02dbc4bfedc38a82dd
SHA256: 284b76055e7e7bcd85b8cf4c2ae3b2b64bcf698d2e7c485dc05033978e7312f3
SHA512: 0e43c82faeb384e2d3dabc2edb73b3cddff4c73fa12b62665821af79dd41eafd03659d528e9fb0cda05da9326f9928122c676b78d0d026c9ac8a3a18d39eea50
Homepage: https://cran.r-project.org/package=netseg
Description: CRAN Package 'netseg' (Measures of Network Segregation and Homophily)
 Segregation is a network-level property such that edges between predefined
 groups of vertices are relatively less likely. Network homophily is a
 individual-level tendency to form relations with people who are similar on
 some attribute (e.g. gender, music taste, social status, etc.). In general
 homophily leads to segregation, but segregation might arise without
 homophily. This package implements descriptive indices measuring
 homophily/segregation. It is a computational companion to Bojanowski &
 Corten (2014) <doi:10.1016/j.socnet.2014.04.001>.

Package: r-cran-netsem
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1944
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-htmlwidgets, r-cran-knitr, r-cran-magrittr, r-cran-mass, r-cran-rsvg, r-cran-svglite, r-cran-png, r-cran-segmented, r-cran-gtools
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netsem_0.6.2-1.ca2004.1_all.deb
Size: 1234788
MD5sum: 1cfa86dbfbe5fedb6e53b102331e91d6
SHA1: fe3167521736a9802c08c20d9e978d463a19709f
SHA256: 7f2514780e4bc5ce549a9b31dda5266f33fd9660c00701302841639faf9f6feb
SHA512: d28873fc40ef81753ffc9b0c6a6b2839087f38469c5a5141da52a8dcedac0c8d68a2322ceeb823d384f086672abcdbd5fa3d86fc7087b04d4b9a2f72b20dded0
Homepage: https://cran.r-project.org/package=netSEM
Description: CRAN Package 'netSEM' (Network Structural Equation Modeling)
 The network structural equation modeling conducts a network statistical
 analysis on a data frame of coincident observations of multiple continuous
 variables [1].  It builds a pathway model by exploring a pool of domain
 knowledge guided candidate statistical relationships between each of the
 variable pairs, selecting the 'best fit' on the basis of a specific criteria
 such as adjusted r-squared value.  This material is based upon work
 supported by the U.S. National Science Foundation Award EEC-2052776 and
 EEC-2052662 for the MDS-Rely IUCRC Center, under the NSF Solicitation: NSF
 20-570 Industry-University Cooperative Research Centers Program [1]
 Bruckman, Laura S., Nicholas R. Wheeler, Junheng Ma, Ethan Wang, Carl K.
 Wang, Ivan Chou, Jiayang Sun, and Roger H. French. (2013)
 <doi:10.1109/ACCESS.2013.2267611>.

Package: r-cran-netshiny
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shinybs, r-cran-shiny, r-cran-shinydashboard, r-cran-colourpicker, r-cran-dt, r-cran-future, r-cran-future.callr, r-cran-ggplot2, r-cran-ggvenndiagram, r-cran-igraph, r-cran-ipc, r-cran-magrittr, r-cran-matrix, r-cran-netgwas, r-cran-plotly, r-cran-promises, r-cran-readxl, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinyscreenshot, r-cran-shinywidgets, r-cran-visnetwork
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netshiny_1.0-1.ca2004.1_all.deb
Size: 202844
MD5sum: bf51dc9eef889ab722fe477068a8e6df
SHA1: 6f4ca04cb3af78175d2525e302bafe571a62a276
SHA256: 5de04c73f981471189e5a4e140a16439b7778c99244dad68e3636a73510d8950
SHA512: caa8e1245b424ce14ea0e59a6e4f29a6bd01763588870b181a0ac617ed1d9b5befdc1a770f339222b4cd9d490a010955c127f12b12c05631f0c4cc37c9dd2bd2
Homepage: https://cran.r-project.org/package=netShiny
Description: CRAN Package 'netShiny' (Tool for Comparison and Visualization of Multiple Networks)
 We developed a comprehensive tool that helps with visualization and analysis
 of networks with the same variables across multiple factor levels. The
 'netShiny' contains most of the popular network features such as centrality
 measures, modularity, and other summary statistics (e.g. clustering
 coefficient). It also contains known tools to look at the (dis)similarities
 between two networks, such as pairwise distance measures between networks,
 set operations on the nodes of the networks, distribution of the weights of
 the edges and a network representing the difference between two correlation
 matrices. The package 'netShiny' also contains tools to perform
 bootstrapping and find clusters in networks. See the 'netShiny' manual for
 more information, documentation and examples.

Package: r-cran-netsimr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 822
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rmarkdown, r-cran-shiny, r-cran-shinybusy, r-cran-future.apply, r-cran-scales, r-cran-future, r-cran-dbi, r-cran-rmysql, r-cran-rodbc, r-cran-rpostgresql, r-cran-rsqlite, r-cran-plotly, r-cran-shinyjs, r-cran-mass, r-cran-fitdistrplus, r-cran-shinywidgets, r-cran-pareto
Suggests: r-cran-knitr, r-cran-crch, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-netsimr_0.1.5-1.ca2004.1_all.deb
Size: 388848
MD5sum: 83ebb478ff5f195e003879568f26866d
SHA1: eb7e52c4528ab239cc2e2e8d63fed23fc141cc12
SHA256: 14eed5826047940bbc9a8bd6f4d48f5ae84d4b7693cb59bed18d94bb8eed7915
SHA512: d591b988bd6b2c8f037913cb2acdea02db7b0d3b02a9cfd0156a4f3998459064dc679ad8d5be57602809bc6a579a37fb4006372206cae03a92220fcfde655eb3
Homepage: https://cran.r-project.org/package=NetSimR
Description: CRAN Package 'NetSimR' (Actuarial Functions for Non-Life Insurance Modelling)
 Assists actuaries and other insurance modellers in pricing, reserving and
 capital modelling for non-life insurance and reinsurance modelling. Provides
 functions that help model excess levels, capping and pure Incurred but not
 reported claims (pure IBNR).  Includes capped mean, exposure curves and
 increased limit factor curves (ILFs) for LogNormal, Gamma, Pareto, Sliced
 LogNormal-Pareto and Sliced Gamma-Pareto distributions.  Includes mean,
 probability density function (pdf), cumulative probability function (cdf)
 and inverse cumulative probability function for Sliced LogNormal-Pareto and
 Sliced Gamma-Pareto distributions.  Includes calculating pure IBNR exposure
 with LogNormal and Gamma distribution for reporting delay.  Includes three
 shiny tools, one to simulate insurance claims applying reinsurance
 structures, fit generalised linear models and fit claims frequency or
 severity distributions.  Methods used in the package refer to Free for All
 by Yiannis Parizas (2023) <https://www.theactuary.com/2023/03/02/free-all>;
 Escaping the triangle by Yiannis Parizas (2019)
 <https://www.theactuary.com/features/2019/06/2019/06/05/escaping-triangle>;
 Take to excess by Yiannis Parizas (2019)
 <https://www.theactuary.com/features/2019/03/2019/03/06/taken-excess>.

Package: r-cran-netstat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1664
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-netstat_0.1.2-1.ca2004.1_all.deb
Size: 1651600
MD5sum: a30649366bd1445bb4b4489805d1437d
SHA1: 8ab83d20093624b1060890af32353bdfc9479c80
SHA256: be04a8d8aee7e0b2494743f485915ccfe0912ba948cc7cbe9c7602199c0cb5e0
SHA512: be59d3afc20ba91d6fd04ccfebd9489ff7f4d0b9bb52df90eb94d0023c49c5a3df2925537fd3f806e819fb49054164254519f55657d04d7f55c15b2050fab8cb
Homepage: https://cran.r-project.org/package=netstat
Description: CRAN Package 'netstat' (Retrieve Network Statistics Including Available TCP Ports)
 R interface for the 'netstat' command line utility used to retrieve and
 parse commonly used network statistics, including available and in-use
 transmission control protocol (TCP) ports. Primers offering technical
 background information on the 'netstat' command line utility are available
 in the "Linux System Administrator's Manual" by Michael Kerrisk (2014)
 <https://man7.org/linux/man-pages/man8/netstat.8.html>, and on the Microsoft
 website (2017)
 <https://docs.microsoft.com/en-us/windows-server/administration/windows-commands/netstat>.

Package: r-cran-netswan
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-netswan_0.1-1.ca2004.1_all.deb
Size: 26628
MD5sum: aec03011e8bd243f956e2db82efa9fe2
SHA1: 0497b746966bdac7a2d6d789a613a382b0bafebc
SHA256: 99ce7aa5aeeb62d177510445454232645f9525728759851f046a753897535650
SHA512: ff0180dae69b37ca3e3bf34217b7457dff7ffe5e68425f9d6fd3873137d5238b578f8d7b0ba12a07a677b2b2983083b449fe17ca4d84e5eb633db478402d13cb
Homepage: https://cran.r-project.org/package=NetSwan
Description: CRAN Package 'NetSwan' (Network Strengths and Weaknesses Analysis)
 A set of functions for studying network robustness, resilience and
 vulnerability.

Package: r-cran-nettskjemar
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 868
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-fs, r-cran-haven, r-cran-knitr, r-cran-labelled, r-cran-openssl, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vcr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-nettskjemar_1.0.2-1.ca2004.1_all.deb
Size: 472384
MD5sum: d6a81a1b8800532c459bb51ad6a6741c
SHA1: d6ced8cf2f73192c52640177137e9b12dab6b5ad
SHA256: 0f5a506da4588bfea40513835d1727160d5a630ac89d1d9b57fa8cda9d7c2c04
SHA512: d15be14839fdfbffafca0347dc0bcff81619b5eb0ce29e99d0d9582dfdc0099ccad674a7dc383cff6c5fd155fd765d6fbee4880056ee792a707bec80d7edc504
Homepage: https://cran.r-project.org/package=nettskjemar
Description: CRAN Package 'nettskjemar' (Connect to the 'nettskjema.no' API of the University of Oslo)
 Enables users to retrieve data, meta-data, and codebooks from
 <https://nettskjema.no/>. The data from the API is richer than from the
 online data portal. Mowinckel (2021) <doi:10.5281/zenodo.4745481>.

Package: r-cran-netweaver
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2108
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-netweaver_0.0.6-1.ca2004.1_all.deb
Size: 1556344
MD5sum: 575e8b5d87ed31311e85d8ce989cff0a
SHA1: c04889fd44f17ef1aef45ad7f951081cc3ddad34
SHA256: 65e846e25fe337c9ce62fc5c34077cc95f85c89165978305410a82c6a1c4de82
SHA512: 188d6b434303588d5b67210fd0dbc134259a9dba5c84b8bbfc89d6a5f9059fd918e2dd4278def4f62e3cc87ef7469b96885436d000964de9784af92846ba5653
Homepage: https://cran.r-project.org/package=NetWeaver
Description: CRAN Package 'NetWeaver' (Graphic Presentation of Complex Genomic and Network DataAnalysis)
 Implements various simple function utilities and flexible pipelines to
 generate circular images for visualizing complex genomic and network data
 analysis features.

Package: r-cran-networkchange
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1001
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-ggplot2, r-cran-rmpfr, r-cran-abind, r-cran-mvtnorm, r-cran-tidyr, r-cran-igraph, r-cran-qgraph, r-cran-network, r-cran-mass, r-cran-rcolorbrewer, r-cran-reshape, r-cran-ggrepel, r-cran-gridextra, r-cran-rlang, r-cran-ggally, r-cran-ggvis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-networkchange_0.8-1.ca2004.1_all.deb
Size: 944732
MD5sum: d2aa3c6b8bb12bd65a9bd31157aedda6
SHA1: 6605bdcb140b6255881486c2eb0c7f823d871349
SHA256: 00d6c484f10bdffef2e965e4709e53117b33c23cac35b6636d043a3473e5af24
SHA512: 04e62c569f94d979097b158c2fccc7ff20c8690eb7857fc41679d5f7983b7593301d877a26e38b90a22413d10737d5e42eb7e2124a6f3988e703b7b619dd45ee
Homepage: https://cran.r-project.org/package=NetworkChange
Description: CRAN Package 'NetworkChange' (Bayesian Package for Network Changepoint Analysis)
 Network changepoint analysis for undirected network data. The package
 implements a hidden Markov network change point model (Park and Sohn
 (2020)). Functions for break number detection using the approximate marginal
 likelihood and WAIC are also provided.

Package: r-cran-networkcomparisontest
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-reshape2, r-cran-qgraph, r-cran-networktools, r-cran-isingfit
Suggests: r-cran-bootnet, r-cran-isingsampler, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-networkcomparisontest_2.2.2-1.ca2004.1_all.deb
Size: 62892
MD5sum: 6b283397322e268773628c8db88528d6
SHA1: b1e272440ca7308c782381cffa475dd80806e314
SHA256: d8858331862fc1d17e6a3ad5bde7a5989b8bf8aa18341b63d5ddd577c9d61a59
SHA512: 54883ff676983d323da62f7cf3135d439dc376007896fce635a4edc27de521bd69f3e30d6b58ea63f21795249f089dc79fc7b907c040eaa47ce57097b88b59a4
Homepage: https://cran.r-project.org/package=NetworkComparisonTest
Description: CRAN Package 'NetworkComparisonTest' (Statistical Comparison of Two Networks Based on SeveralInvariance Measures)
 This permutation based hypothesis test, suited for several types of data
 supported by the estimateNetwork function of the bootnet package (Epskamp &
 Fried, 2018), assesses the difference between two networks based on several
 invariance measures (network structure invariance, global strength
 invariance, edge invariance, several centrality measures, etc.). Network
 structures are estimated with l1-regularization. The Network Comparison Test
 is suited for comparison of independent (e.g., two different groups) and
 dependent samples (e.g., one group that is measured twice). See van Borkulo
 et al. (2021), available from <doi:10.1037/met0000476>.

Package: r-cran-networkcomparr
Architecture: all
Version: 0.0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-qgraph, r-cran-igraph, r-cran-reshape2, r-cran-networktools, r-cran-gdata
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-networkcomparr_0.0.0.9-1.ca2004.1_all.deb
Size: 54588
MD5sum: 28a0cfce8ace780963bbbe70cd5a47dd
SHA1: ae13471b53fdb0fb1ab8262f009aa2f9f0d288f8
SHA256: df7e296e3a4ea50bd417ce0170b9c10c08a66a25d50a34edb72c5a213af81392
SHA512: 2c26983482301209194a9502d2b886523c5801bdbefff1aa84d13e254eff26631e8afc22f70a5a4781b55cb0dcce028a9bf4d409e9f877993e0d106216550dd9
Homepage: https://cran.r-project.org/package=NetworkComparr
Description: CRAN Package 'NetworkComparr' (Statistical Comparison of Networks)
 A permutation-based hypothesis test for statistical comparison of two
 networks based on the invariance measures of the R package
 'NetworkComparisonTest' by van Borkulo et al. (2022),
 <doi:10.1037/met0000476>: network structure invariance, global strength
 invariance, edge invariance, and various centrality measures. Edgelists from
 dependent or independent samples are used as input. These edgelists are
 generated from concept maps and summed into two comparable group networks.
 The networks can be directed or undirected.

Package: r-cran-networkd3
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.tree, r-cran-htmlwidgets, r-cran-igraph, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-htmltools, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-networkd3_0.4.1-1.ca2004.1_all.deb
Size: 214400
MD5sum: c43e44a83512de45412fea980209957b
SHA1: 05cd6048beb7b2b84581a1e36eda922c79b0e74b
SHA256: 54ebc7773f38cd8310ad66d5cd87f4215e8b1573472e3feb9320badb8820f0aa
SHA512: 0f36f300738e8f5c4a4cc0f01a9d6d1bd773a5ff3b7c4d2cc171e728d8a209e0eebb2b3bfd7fcfd4647204cfd6a8a37f912614b13d0ee7b96dde0063b1c2b168
Homepage: https://cran.r-project.org/package=networkD3
Description: CRAN Package 'networkD3' (D3 JavaScript Network Graphs from R)
 Creates 'D3' 'JavaScript' network, tree, dendrogram, and Sankey graphs from
 'R'.

Package: r-cran-networkdynamicdata
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-networkdynamic, r-cran-network
Filename: pool/dists/focal/main/r-cran-networkdynamicdata_0.3.0-1.ca2004.1_all.deb
Size: 1576072
MD5sum: 28bc7ae8de93adca72989ffa72bc9ce5
SHA1: f93c1a1c1cfe0de098b9d36c35c4748e055cd9c7
SHA256: cacafad80dd0a701a5faf58b1c309a14f961aa45aa0ce3f9e68cdf024ab16616
SHA512: af1468c2e9cae1709dabc4fba26374e75eb74898480a159cba3b23bc1d0dab6c42e9c72a207a3fc860e3e1a2da99ddec32c2ad8db8c666044414756a44ae0aae
Homepage: https://cran.r-project.org/package=networkDynamicData
Description: CRAN Package 'networkDynamicData' (Dynamic (Longitudinal) Network Datasets)
 A collection of dynamic network data sets from various sources and multiple
 authors represented as 'networkDynamic'-formatted objects.

Package: r-cran-networkextinction
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 726
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-igraph, r-cran-magrittr, r-cran-network, r-cran-scales, r-cran-sna, r-cran-tidyr, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-patchwork, r-cran-dosnow
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-networkextinction_1.0.3-1.ca2004.1_all.deb
Size: 504344
MD5sum: 082c344fb53cefbc0a7ef8319ccde366
SHA1: f5555139c940fb65e1168726de368c50e18b7c11
SHA256: 732d4aa61732596ccefaf5ce74e03af11c1b183382f287c0cd214e2307b56bf5
SHA512: 00f1abf2822e3819adef759ab251bec1292375765198aabc30f4ccb7ce63fecaf5f90542ee1c995226e41bc7e691058c95b568f416db3a1cb199db7051074c04
Homepage: https://cran.r-project.org/package=NetworkExtinction
Description: CRAN Package 'NetworkExtinction' (Extinction Simulation in Ecological Networks)
 Simulates the extinction of species in ecological networks and it analyzes
 its cascading effects, described in Dunne et al. (2002)
 <doi:10.1073/pnas.192407699>.

Package: r-cran-networkgen
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-networkgen_0.1.1-1.ca2004.1_all.deb
Size: 95240
MD5sum: 105cdc1725e2b965ea07f348beff31fd
SHA1: 7a88a48a1900326f05f98b681abda52308158475
SHA256: 2f6e6d628ec0b4f20f5f9d1393f601c3a224c667247cdb7b5913dd7ffa5b8756
SHA512: a29b77f590865f45c607f74facf16ac3a9800fd9e26e3ca8556bc6e2c829b347b60b69d44c0bec26f84e5ee3ab4c447a4f4c5f68e1f45dc93d38377b1bdcdeb9
Homepage: https://cran.r-project.org/package=networkGen
Description: CRAN Package 'networkGen' (Network Maze Generator)
 A network Maze generator that creates different types of network mazes.

Package: r-cran-networklite
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-network, r-cran-statnet.common, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-networklite_1.1.0-1.ca2004.1_all.deb
Size: 118152
MD5sum: 094dadd6e6623d0195803872aaf56c40
SHA1: cb5170d292808055f3f4db7bd7b2032dd5819531
SHA256: 714b4caa376893b7db4c3d1529bdcb48e4eb54ab6d66fe90217256f16c388c2a
SHA512: 7bf7a8a8f68a6f75e6068c26cc7b6dd4ccbd6ff1ae6d65d1b9d806ac9514405cf5eb700668712869543280d584bd7d8262441e28a03166bebeb789d3c7e80780
Homepage: https://cran.r-project.org/package=networkLite
Description: CRAN Package 'networkLite' (An Simplified Implementation of the 'network' PackageFunctionality)
 An implementation of some of the core 'network' package functionality based
 on a simplified data structure that is faster in many research applications.
 This package is designed for back-end use in the 'statnet' family of
 packages, including 'EpiModel'. Support is provided for binary and weighted,
 directed and undirected, bipartite and unipartite networks; no current
 support for multigraphs, hypergraphs, or loops.

Package: r-cran-networkreg
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-randnet, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-networkreg_2.0-1.ca2004.1_all.deb
Size: 44636
MD5sum: 30105720653eb02f39cfb188a7e06da0
SHA1: 06ab15107f7767c2b2b0471c17e14650d6ac2d3f
SHA256: 5d5ce08753efc6b317a17221a4715b662293935e31b4df2cd2e1ba479e84417e
SHA512: 1ba04c261a2f80318509de65f04d2379a6c0499c20bc27ead927f892c3b7f9666637cccf006dd9d6bec702b19d6d3f853889374cfcfea828a2b9e0960a079d28
Homepage: https://cran.r-project.org/package=NetworkReg
Description: CRAN Package 'NetworkReg' (Generalized Linear Regression Models on Network-Linked Data withStatistical Inference)
 Linear regression model and generalized linear models with nonparametric
 network effects on network-linked observations. The model is originally
 proposed by Le and Li (2022) <doi:10.48550/arXiv.2007.00803> and is assumed
 on observations that are connected by a network or similar relational data
 structure. A more recent work by Wang, Le and Li (2024)
 <doi:10.48550/arXiv.2410.01163> further extends the framework to generalized
 linear models. All these models are implemented in the current package. The
 model does not assume that the relational data or network structure to be
 precisely observed; thus, the method is provably robust to a certain level
 of perturbation of the network structure. The package contains the
 estimation and inference function for the model.

Package: r-cran-networkreporting
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-functional, r-cran-ggplot2, r-cran-lazyeval, r-cran-plyr, r-cran-reshape2, r-cran-stringr, r-cran-dplyr, r-cran-surveybootstrap
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-networkreporting_0.1.1-1.ca2004.1_all.deb
Size: 191892
MD5sum: e7d6febe0720f35bdd02f181674716ca
SHA1: f17685fcd291ed95e9301517e3fd6df0ed7a6e6c
SHA256: 86d984c69a1136be9bd94d54e8de26431947c6f6f8421a5977bdf5fdb08c5d6a
SHA512: 25a4dd288cfd337502ca745ce3730281ca03c1ade2e252764ffe06c20a3f4d95982f95bcea3f82008cb93b2b0ab8a26e8ae3e755fc668fc80e867b1172caa66e
Homepage: https://cran.r-project.org/package=networkreporting
Description: CRAN Package 'networkreporting' (Tools for using Network Reporting Estimators)
 Functions useful for producing estimates from data that were collected using
 network reporting techniques like network scale-up, indirect sampling,
 network reporting, and sibling history.

Package: r-cran-networkriskmeasures
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-expm, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-igraph, r-cran-covr
Filename: pool/dists/focal/main/r-cran-networkriskmeasures_0.1.7-1.ca2004.1_all.deb
Size: 88056
MD5sum: 72a7c07625c0c8b35c0894b68cfe3ce1
SHA1: 2c5ded2602f24ab635331d540a0e9685995db4cf
SHA256: 8f9eeca97363c9c2e0f00825547845e18a4205fa45cf44cd2ea4236bb6a97edd
SHA512: 980cf0bc6fcde8ea73c71f082f532ab1c2a944f60e8614c50d98bb21bac7af022a292999b251a3b26ca62bf37bce718a7e007b7ef8e945151fcfd80cc445c8f0
Homepage: https://cran.r-project.org/package=NetworkRiskMeasures
Description: CRAN Package 'NetworkRiskMeasures' (Risk Measures for (Financial) Networks)
 Implements some risk measures for (financial) networks, such as DebtRank,
 Impact Susceptibility, Impact Diffusion and Impact Fluidity.

Package: r-cran-networksem
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-latentnet, r-cran-sna, r-cran-influential, r-cran-lavaan, r-cran-network, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-networksem_0.4-1.ca2004.1_all.deb
Size: 79688
MD5sum: 3ab54ae5520db7b7a0148b2ceb904882
SHA1: 84da626aa7a777fb54242435601b0e7cd280948d
SHA256: 43a7ef48107f86125a87abdec9142715cf3185f3b0fb3b119d91300d04b6b0fb
SHA512: 4ff4f038d92ae9822fd6e6315a8108c0d7a43ce4ff212f6fe2128506c122b6ece748bba36ccfff2e8ef8dcb20ec845c8939414ec7bd3619476a32a277fb9c833
Homepage: https://cran.r-project.org/package=networksem
Description: CRAN Package 'networksem' (Network Structural Equation Modeling)
 Several methods have been developed to integrate structural equation
 modeling techniques with network data analysis to examine the relationship
 between network and non-network data. Both node-based and edge-based
 information can be extracted from the network data to be used as observed
 variables in structural equation modeling. To facilitate the application of
 these methods, model specification can be performed in the familiar syntax
 of the 'lavaan' package, ensuring ease of use for researchers. Technical
 details and examples can be found at <https://bigsem.psychstat.org>.

Package: r-cran-networktoolbox
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-corrplot, r-cran-doparallel, r-cran-fdrtool, r-cran-foreach, r-cran-igraph, r-cran-isingfit, r-cran-mass, r-cran-pbapply, r-cran-ppcor, r-cran-psych, r-cran-pwr, r-cran-r.matlab, r-cran-qgraph
Suggests: r-cran-googledrive
Filename: pool/dists/focal/main/r-cran-networktoolbox_1.4.4-1.ca2004.1_all.deb
Size: 519320
MD5sum: 091b9003f751ce934b44387b4562bf3d
SHA1: 8fdd9c854d4917060231df2d16b022e931a41294
SHA256: be031ec1793e1f133673ac6313d8ba067b0b48f3e68eb70cc503b5788d2d07fe
SHA512: d0f9af8584159f6df5255d1596421e256a73603f58f44e25413994b6b5ff0d84b0e25f82f2a6d638f7ce548c4269d76184b1625f785a4aab591f3667925276d4
Homepage: https://cran.r-project.org/package=NetworkToolbox
Description: CRAN Package 'NetworkToolbox' (Methods and Measures for Brain, Cognitive, and PsychometricNetwork Analysis)
 Implements network analysis and graph theory measures used in neuroscience,
 cognitive science, and psychology. Methods include various filtering methods
 and approaches such as threshold, dependency (Kenett, Tumminello, Madi,
 Gur-Gershgoren, Mantegna, & Ben-Jacob, 2010
 <doi:10.1371/journal.pone.0015032>), Information Filtering Networks
 (Barfuss, Massara, Di Matteo, & Aste, 2016
 <doi:10.1103/PhysRevE.94.062306>), and Efficiency-Cost Optimization
 (Fallani, Latora, & Chavez, 2017 <doi:10.1371/journal.pcbi.1005305>). Brain
 methods include the recently developed Connectome Predictive Modeling (see
 references in package). Also implements several network measures including
 local network characteristics (e.g., centrality), community-level network
 characteristics (e.g., community centrality), global network characteristics
 (e.g., clustering coefficient), and various other measures associated with
 the reliability and reproducibility of network analysis.

Package: r-cran-networktools
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qgraph, r-cran-igraph, r-cran-reshape2, r-cran-ggplot2, r-cran-gridextra, r-cran-cocor, r-cran-rcolorbrewer, r-cran-r.utils, r-cran-eigenmodel, r-cran-psych, r-cran-smacof, r-cran-wordcloud
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-networktools_1.6.0-1.ca2004.1_all.deb
Size: 130472
MD5sum: 8769c95bc8b635bd835baa502769bc34
SHA1: 5128c7fefda4aae268497d212d6f79ba18679896
SHA256: 1c2e9b4e2464bcc0d70e5d45d0c863f35f2dc2a0a957f25a008d1cee6b4ff28a
SHA512: 806a4efe72724abd6c678c181ff58c988dc4cd08de037241a062f18c8dbfaf315dd4a7059b92e63e6cd39d66e7e1d8077c8e6a78b80e37fb4eb1a98901cea002
Homepage: https://cran.r-project.org/package=networktools
Description: CRAN Package 'networktools' (Tools for Identifying Important Nodes in Networks)
 Includes assorted tools for network analysis. Bridge centrality;
 goldbricker; MDS, PCA, & eigenmodel network plotting.

Package: r-cran-networktree
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1521
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-qgraph, r-cran-matrix, r-cran-mvtnorm, r-cran-formula, r-cran-gridbase, r-cran-reshape2
Suggests: r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown, r-cran-fxregime, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-networktree_1.0.1-1.ca2004.1_all.deb
Size: 1237668
MD5sum: 803cccd68c475163d1d853c88188defe
SHA1: 5ff12c01a5075d5b7bf7e8a85f1c8ef8584681b5
SHA256: 50389c97afd43e6493ada82fa2644cba0871f80c4842ed6236f3fe99ed4375c1
SHA512: 6cf6fbbf611d13f451325e5347d21507cedc804b06831fda058f0f9b87b20f75a6e3743b71c7b57b0cbf9d5e4a26b514f6768a39463eeabb404a48f40c0fba7c
Homepage: https://cran.r-project.org/package=networktree
Description: CRAN Package 'networktree' (Recursive Partitioning of Network Models)
 Network trees recursively partition the data with respect to covariates. Two
 network tree algorithms are available: model-based trees based on a
 multivariate normal model and nonparametric trees based on covariance
 structures. After partitioning, correlation-based networks (psychometric
 networks) can be fit on the partitioned data. For details see Jones, Mair,
 Simon, & Zeileis (2020) <doi:10.1007/s11336-020-09731-4>.

Package: r-cran-neural
Architecture: all
Version: 1.4.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-neural_1.4.2.2-1.ca2004.1_all.deb
Size: 81664
MD5sum: 912fc9e013b0f31fd78e8a3a76dc7bc2
SHA1: a1af5a4e9baf8f9faafc4887401c4042ac7a5642
SHA256: bc3864029a68d151a6efe7453229079ada2635b5f0cd8bb5367e12edefdad039
SHA512: fd9a9d80eace4620618ac11efbf23081c17fd6889e67ac9e9121d1fda20657f1be6856a2524d65042da2798978ee0f3ea17ffeb85e7c18acc53d932d0610f706
Homepage: https://cran.r-project.org/package=neural
Description: CRAN Package 'neural' (Neural Networks)
 RBF and MLP neural networks with graphical user interface

Package: r-cran-neuralestimators
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-juliaconnector, r-cran-magrittr
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-ggplotify, r-cran-ggpubr, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neuralestimators_0.2.0-1.ca2004.1_all.deb
Size: 666612
MD5sum: 572251d6dad514b8292fc8645ae7a1c1
SHA1: 0dcc081d11fff38b95918ffb41b478c2e41344a1
SHA256: a9e789ae8358f2144198ff08a053b2330dc793dab7bc41414d1edecf75ae100d
SHA512: 330987a10e6d4b532e6765d354146390f228fe5fcfaec0aa0c07a131968e653b356317a02ae620418f5cafb9cf37134c24182d3449dfd5872e4b9e17ad47c769
Homepage: https://cran.r-project.org/package=NeuralEstimators
Description: CRAN Package 'NeuralEstimators' (Likelihood-Free Parameter Estimation using Neural Networks)
 An 'R' interface to the 'Julia' package 'NeuralEstimators.jl'. The package
 facilitates the user-friendly development of neural Bayes estimators, which
 are neural networks that map data to a point summary of the posterior
 distribution (Sainsbury-Dale et al., 2024,
 <doi:10.1080/00031305.2023.2249522>). These estimators are likelihood-free
 and amortised, in the sense that, once the neural networks are trained on
 simulated data, inference from observed data can be made in a fraction of
 the time required by conventional approaches. The package also supports
 amortised Bayesian or frequentist inference using neural networks that
 approximate the posterior or likelihood-to-evidence ratio (Zammit-Mangion et
 al., 2025, Sec. 3.2, 5.2, <doi:10.48550/arXiv.2404.12484>). The package
 accommodates any model for which simulation is feasible by allowing users to
 define models implicitly through simulated data.

Package: r-cran-neuralgam
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tensorflow, r-cran-keras, r-cran-ggplot2, r-cran-magrittr, r-cran-reticulate, r-cran-formula.tools, r-cran-gridextra
Suggests: r-cran-covr, r-cran-testthat, r-cran-fs, r-cran-withr
Filename: pool/dists/focal/main/r-cran-neuralgam_1.1.1-1.ca2004.1_all.deb
Size: 86132
MD5sum: bc30ec9e5caf6fc7fb4b432440cb13b0
SHA1: b7158eb97da9f53521ac716fca2b9fb5af2834e5
SHA256: d2f9650733ddcf93fb44ff751090d02a3d0e9760eea4ac6d2cf0c06b6962204a
SHA512: ad552c54788a95927f467f269c4bfd322a8f63e08b159bf6a395e18c9de807edf6fdf2b90f08c26c42433f975bd36207a71ed53a9beae89bd73fe9b6001262a1
Homepage: https://cran.r-project.org/package=neuralGAM
Description: CRAN Package 'neuralGAM' (Interpretable Neural Network Based on Generalized AdditiveModels)
 Neural network framework based on Generalized Additive Models from Hastie &
 Tibshirani (1990, ISBN:9780412343902), which trains a different neural
 network to estimate the contribution of each feature to the response
 variable. The networks are trained independently leveraging the local
 scoring and backfitting algorithms to ensure that the Generalized Additive
 Model converges and it is additive. The resultant Neural Network is a highly
 accurate and interpretable deep learning model, which can be used for
 high-risk AI practices where decision-making should be based on accountable
 and interpretable algorithms.

Package: r-cran-neuralnet
Architecture: all
Version: 1.44.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-deriv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neuralnet_1.44.2-1.ca2004.1_all.deb
Size: 123324
MD5sum: d7e170fb086175ad4cf68b8c2b3e08e2
SHA1: 3e48d0f28d50c6c0d9d9cee5f3142f8720f63ea5
SHA256: 77ecdcb54bd6208ce0b026a6a00e08c1d3f486af9763f08b986130b974ec262c
SHA512: 461e9a8d9ef8e9686ba4396a87e190b9404bba5c259c194f685fb47985ae707bad33fda7d207b9edc0add90f8ce48f501ca1f2f773330161fe62d74d452400c2
Homepage: https://cran.r-project.org/package=neuralnet
Description: CRAN Package 'neuralnet' (Training of Neural Networks)
 Training of neural networks using backpropagation, resilient backpropagation
 with (Riedmiller, 1994) or without weight backtracking (Riedmiller and
 Braun, 1993) or the modified globally convergent version by Anastasiadis et
 al.  (2005). The package allows flexible settings through custom-choice of
 error and activation function. Furthermore, the calculation of generalized
 weights (Intrator O & Intrator N, 1993) is implemented.

Package: r-cran-neuralnettools
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-nnet, r-cran-reshape2, r-cran-scales, r-cran-tidyr
Suggests: r-cran-caret, r-cran-neuralnet, r-cran-rsnns, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neuralnettools_1.5.3-1.ca2004.1_all.deb
Size: 242496
MD5sum: ff3a2649489ae89fedb5ed51b9446854
SHA1: c86c453f5fcdbb8dc54765d59389c2b75bd9ec52
SHA256: a61c8df49504e71012cb3ddcfd6c0b57f041f204fbd656de7a4c8cf5e04255da
SHA512: 94ff9bc752f5cb5ff7ad8bca38217d2f807657dc53fe486beda94cc4d87f77bc4ec8c4b9dc20a08619a11e5f58f38e5295bfe8691f2cc76edc170e0b0f66159a
Homepage: https://cran.r-project.org/package=NeuralNetTools
Description: CRAN Package 'NeuralNetTools' (Visualization and Analysis Tools for Neural Networks)
 Visualization and analysis tools to aid in the interpretation of neural
 network models.  Functions are available for plotting, quantifying variable
 importance, conducting a sensitivity analysis, and obtaining a simple list
 of model weights.

Package: r-cran-neuralsens
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-neuralnettools, r-cran-reshape2, r-cran-caret, r-cran-fastdummies, r-cran-stringr, r-cran-hmisc, r-cran-ggforce, r-cran-scales, r-cran-ggnewscale, r-cran-magrittr, r-cran-ggrepel, r-cran-ggbreak, r-cran-dplyr
Suggests: r-cran-h2o, r-cran-rsnns, r-cran-nnet, r-cran-neuralnet, r-cran-plotly, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-neuralsens_1.1.3-1.ca2004.1_all.deb
Size: 442956
MD5sum: f9f3670fd43bc6fee5bfbc47cdddf3d4
SHA1: a429a404524b6ac471d977813bc757938fdb668f
SHA256: c030866027c61b5ec8e791c5d3003981f62dcd259134c46774b8b4371b09dafb
SHA512: 838190eeedf62ba18c4177c6114242b402638f5ada171fd985eefa5291e75b09118ad2cb5acc0dd33aaee2880ef9e51e8c0a3bcb8cc9a617577abdce98a85b1d
Homepage: https://cran.r-project.org/package=NeuralSens
Description: CRAN Package 'NeuralSens' (Sensitivity Analysis of Neural Networks)
 Analysis functions to quantify inputs importance in neural network models.
 Functions are available for calculating and plotting the inputs importance
 and obtaining the activation function of each neuron layer and its
 derivatives. The importance of a given input is defined as the distribution
 of the derivatives of the output with respect to that input in each training
 data point <doi:10.18637/jss.v102.i07>.

Package: r-cran-neurobase
Architecture: all
Version: 1.32.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oro.nifti, r-cran-abind, r-cran-matrixstats, r-cran-r.utils, r-cran-rnifti
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-reshape2, r-cran-httr, r-cran-covr, r-cran-brainr
Filename: pool/dists/focal/main/r-cran-neurobase_1.32.4-1.ca2004.1_all.deb
Size: 1412568
MD5sum: 71263647550c38895849b5d58b65404a
SHA1: efb8a8cf5302e28bab4497d575bbf8a3ea971252
SHA256: 70816676120722074301eb0455ea8cbbef19d9d24ba95598bce7375aecfb8c1b
SHA512: b2831765b081ed97ac168719e1832de1283b763e4d1e3c61ae4eaaca3890b43744955f5a36b3f614f485752418bd806866c145947be1bb579984a60fb88ab4e3
Homepage: https://cran.r-project.org/package=neurobase
Description: CRAN Package 'neurobase' ('Neuroconductor' Base Package with Helper Functions for 'nifti'Objects)
 Base package for 'Neuroconductor', which includes many helper functions that
 interact with objects of class 'nifti', implemented by package 'oro.nifti',
 for reading/writing and also other manipulation functions.

Package: r-cran-neuroblastoma
Architecture: all
Version: 2023.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8058
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-neuroblastoma_2023.9.3-1.ca2004.1_all.deb
Size: 8199880
MD5sum: 8a664ac33d99817805b5facbfa1d0fb0
SHA1: 007b35b85df5b16c073e8e1550c0e67ca3e7af75
SHA256: 0ead73236730304311f053ebe5ea89ba83a16160c4e40c2fd1b835be0f3bec5f
SHA512: 49d9916679641812480b78346d372e0153a814a1812a94b3674366938f70e118529207d73e0ce6b6e89a441ba8d214f0e0dc5335c5aa63401a534fe25daadcc9
Homepage: https://cran.r-project.org/package=neuroblastoma
Description: CRAN Package 'neuroblastoma' (Neuroblastoma Copy Number Profiles)
 Annotated neuroblastoma copy number profiles, a benchmark data set for
 change-point detection algorithms, as described by Hocking et al.
 <doi:10.1186/1471-2105-14-164>.

Package: r-cran-neurocinstall
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-httr
Filename: pool/dists/focal/main/r-cran-neurocinstall_0.12.0-1.ca2004.1_all.deb
Size: 39540
MD5sum: 61b64151f61e51cf7950d55b4032f3b6
SHA1: 7fe64e53e099e079195aa49ee54a8228da4eb432
SHA256: b9aaf757eaba6f6112db67584b28b44a9ab49faf78839d393a318cc8d3dc1104
SHA512: 2ffb279a9b2ca5fb83210e2ed8d6640ee5a1a15a4e9e9625455b4d5630818b417f1286203c515d44eaa698aa1f7e089bf6f1c36968a26eddd1176d92aa4046ed
Homepage: https://cran.r-project.org/package=neurocInstall
Description: CRAN Package 'neurocInstall' ('Neuroconductor' Installer)
 Installs 'Neuroconductor' packages from the release repository
 <https://neuroconductor.org/releases/> or from 'GitHub'.

Package: r-cran-neurodatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1296
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neurodatasets_0.1.0-1.ca2004.1_all.deb
Size: 858396
MD5sum: 1cfce6714d35fb62aba7a8f414389985
SHA1: a354144adfc5629bf429b3bedfe66f1f46fd3263
SHA256: 9d6e8577e3a8d1a2e0eecad6c41c55a61247bf6a26d391a01862509ba6a5c452
SHA512: 0241ba67f81707d7d3d045008318847234a86f6c4ab2341f99d5ce2cbd2e54ffe68786f966b6b115ed20068e0fcb22c76a6496e43af142f447fe52603bdc2ed1
Homepage: https://cran.r-project.org/package=NeuroDataSets
Description: CRAN Package 'NeuroDataSets' (A Comprehensive Collection of Neuroscience and Brain-RelatedDatasets)
 Offers a rich and diverse collection of datasets focused on the brain,
 nervous system, and related disorders.  The package includes clinical,
 experimental, neuroimaging, behavioral, cognitive, and simulated data on
 conditions such as Parkinson's disease, Alzheimer's, epilepsy,
 schizophrenia, gliomas, and mental health.  Datasets cover structural and
 functional brain data, neurotransmission, gene expression, cognitive
 performance, and treatment outcomes.  Designed for researchers,
 neuroscientists, clinicians, psychologists, data scientists, and students,
 this package facilitates exploratory data analysis, statistical modeling,
 and hypothesis testing in neuroscience and neuroepidemiology.

Package: r-cran-neurodecoder
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3454
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-dosnow, r-cran-e1071, r-cran-forcats, r-cran-foreach, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-purrr, r-cran-r.matlab, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tictoc, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neurodecoder_0.2.0-1.ca2004.1_all.deb
Size: 1383968
MD5sum: 2a1a74b17ad789d69005125dc2758fa2
SHA1: 5a788ce9c627def977a358f2af1c936b5297c823
SHA256: 3f5cbaa92a8423b20cdacaf279bbb53169f678893131b1069b9a6e461a2a6d38
SHA512: b34e85404742f2d12011437d1b735843b292d7449533f396bb825096bdf02d0b2c1b07150ff4f5563627986d04eafd0f37c84dcb319a84d667dfb1eed5c3e67b
Homepage: https://cran.r-project.org/package=NeuroDecodeR
Description: CRAN Package 'NeuroDecodeR' (Decode Information from Neural Activity)
 Neural decoding is method of analyzing neural data that uses a pattern
 classifiers to predict experimental conditions based on neural activity.
 'NeuroDecodeR' is a system of objects that makes it easy to run neural
 decoding analyses. For more information on neural decoding see Meyers &
 Kreiman (2011) <doi:10.7551/mitpress/8404.003.0024>.

Package: r-cran-neurohcp
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-httr, r-cran-xml2, r-cran-base64enc, r-cran-aws.s3
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-neurohcp_0.11.0-1.ca2004.1_all.deb
Size: 483188
MD5sum: 5c2210a29684dde3c49ba9e8b11ae8f4
SHA1: 4059b075c5e10c45d32a65e9623e00ab4a892f4b
SHA256: cc534bc32f3b6b28e9255fee889224b75ac68a74f9807723d94889a9ee358bda
SHA512: e33a19e5dfd42a9e15e9e7a4f50eb9ff96e0e26dc46ec620e2e462d26fc7c5e4274d011800421b8da7f45e47f2dc00c33aa32b627b3fca38c80d9f20f888ba50
Homepage: https://cran.r-project.org/package=neurohcp
Description: CRAN Package 'neurohcp' (Human 'Connectome' Project Interface)
 Downloads and reads data from Human 'Connectome' Project
 <https://db.humanconnectome.org> using Amazon Web Services ('AWS') 'S3'
 buckets.

Package: r-cran-neuroimagene
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-dbi, r-cran-stringr, r-cran-ggseg, r-cran-rsqlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neuroimagene_0.1.2-1.ca2004.1_all.deb
Size: 669164
MD5sum: 15994cf1ee60899fe79a7222549908ed
SHA1: b04c162c5ea113706f7682f4c7712b3c8240d03e
SHA256: 994b2e002501d71c0d20b1be2f2298c230e02d0251867e9de71a4669bbe4f914
SHA512: d71a2c7fc9d133ad561bc2ff1d7be326af78ae499494a28f2d582b0aa1ce8ab98deefb2eb87e9aac13915de45065af3430a3375b66dba1f7c52d080d29f9fe11
Homepage: https://cran.r-project.org/package=neuroimaGene
Description: CRAN Package 'neuroimaGene' (Transcriptomic Atlas of Neuroimaging Derived Phenotypes)
 Contains functions to query and visualize the Neuroimaging features
 associated with genetically regulated gene expression (GReX). The primary
 utility, neuroimaGene(), relies on a list of user-defined genes and returns
 a table of neuroimaging features (NIDPs) associated with each gene. This
 resource is designed to assist in the interpretation of genome-wide and
 transcriptome-wide association studies that evaluate brain related traits.
 Bledsoe (2024) <doi:10.1016/j.ajhg.2024.06.002>. In addition there are
 several visualization functions that generate summary plots and
 2-dimensional visualizations of regional brain measures. Mowinckel (2020).

Package: r-cran-neuromplex
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayeslogit, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-neuromplex_1.0-1-1.ca2004.1_all.deb
Size: 125276
MD5sum: 2b34f91dfafa9f5615c56f498a01d958
SHA1: ac86b08d2089b1acc17789bf185f486ece975c8b
SHA256: f53733d0e1373b2386c3eb8e716eaa09812b61aaeaf2ea0b0a23c6c0406d787c
SHA512: b886ccff9672e5855f30bcfaa073fc362a8974a4b2c5923bf47afc9d4c6654636b3967393fce897cc20054710f0b51665c21a1c4ba08d37dede741074f08d8f2
Homepage: https://cran.r-project.org/package=neuromplex
Description: CRAN Package 'neuromplex' (Neural Multiplexing Analysis)
 Statistical methods for whole-trial and time-domain analysis of single cell
 neural response to multiple stimuli presented simultaneously. The package is
 based on the paper by C Glynn, ST Tokdar, A Zaman, VC Caruso, JT Mohl, SM
 Willett, and JM Groh (2021) "Analyzing second order stochasticity of neural
 spiking under stimuli-bundle exposure", is in press for publication by the
 Annals of Applied Statistics. A preprint may be found at <arXiv:1911.04387>.

Package: r-cran-neuronorm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-knitr, r-cran-oro.nifti, r-cran-fslr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-neuronorm_1.0.2-1.ca2004.1_all.deb
Size: 48728
MD5sum: 4b43aa66d81fb6718eb0c184a77f1da7
SHA1: e66b0b51ec1098fe80cc6b90bcf068fc8ec87dee
SHA256: 0c60405283759a2f4fe38f4b9f8e2491aeceed7393cb82727b696ef9095c38ab
SHA512: cc5b768e7d60f97e34a9adf89cce9228d520ac9bc9c2e4e877dac7c84a8df34c4913325357afdf73837577cc392877460e7d05035c9d5747485ad15df82b13cb
Homepage: https://cran.r-project.org/package=neuronorm
Description: CRAN Package 'neuronorm' (Preprocessing of Structural MRI for Multiple NeurodegenerativeDiseases)
 Preprocessing pipeline for normalizing and cleaning T1-weighted, T2-weighted
 and FLAIR MRI images coming from different sources, diseases, patients,
 scanners and sites.

Package: r-cran-neuroscc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-contourer, r-cran-dplyr, r-cran-memisc, r-cran-oro.nifti, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rcmdcheck, r-cran-remotes, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-neuroscc_1.0.0-1.ca2004.1_all.deb
Size: 1907792
MD5sum: 320ed92c850607c7a5e4bb803ad713e9
SHA1: 320ef342c220bc1700a02e153071405120ebbecb
SHA256: 1239fa22377deed94cea0f61b19c2dc3627e939ccb33a598dac3f5ec28df149c
SHA512: 39c3368cdb3462a005e5221d7d0680b165205966b35d4a70211238f1260cc6c68357f6e063e33201f4f74cfa458930563838e6ba4f38d62277873d55f80fdbaf
Homepage: https://cran.r-project.org/package=neuroSCC
Description: CRAN Package 'neuroSCC' (Bridging Simultaneous Confidence Corridors and PET Neuroimaging)
 Tools for the structured processing of PET neuroimaging data in preparation
 for the estimation of Simultaneous Confidence Corridors (SCCs) for
 one-group, two-group, or single-patient vs group comparisons.  The package
 facilitates PET image loading, data restructuring, integration into a
 Functional Data Analysis framework, contour extraction, identification of
 significant results, and performance evaluation. It bridges established
 packages (e.g., 'oro.nifti') with novel statistical methodologies (e.g.,
 'ImageSCC') and enables reproducible analysis pipelines, including
 comparison with Statistical Parametric Mapping ('SPM').

Package: r-cran-neuroup
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 952
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-psychometric, r-cran-tibble, r-cran-magrittr, r-cran-bootstrap
Suggests: r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-neuroup_0.3.1-1.ca2004.1_all.deb
Size: 567664
MD5sum: bb2460c315ded1988128dda7282b8675
SHA1: bfa196ea61e118ad55b20f3b8f0f083f8e133a80
SHA256: 04c97568dad7aeefcf780c77361cac183b5444580fbb798a70ad578c864ebb9e
SHA512: ad4f491c937e9388d6f7287795a6818750c751827533320dda66c3b9a26e5db5a20323e1b0be23f2b6ff3519265809d299c3152b9f293dc2f81dae15cfaf37df
Homepage: https://cran.r-project.org/package=neuroUp
Description: CRAN Package 'neuroUp' (Plan Sample Size for Task fMRI Research using Bayesian Updating)
 Calculate the precision in mean differences (raw or Cohen's D) and
 correlation coefficients for different sample sizes. Uses permutations of
 the collected functional magnetic resonance imaging (fMRI) region of
 interest data.  Method described in Klapwijk, Jongerling, Hoijtink and Crone
 (2024) <doi:10.31234/osf.io/cz32t>.

Package: r-cran-neutralitytestr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-pracma, r-cran-ggpmisc, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neutralitytestr_0.0.3-1.ca2004.1_all.deb
Size: 600464
MD5sum: ff1a9cd6127569ebde40cb64a6fb7cdd
SHA1: 8523cf028ce8791fa7d9e54d2421111093c870d9
SHA256: 4dd39207b9abad405753d881aa499941b39d51c20749ff66f7f581d034e714b7
SHA512: 55e4c948a87d4e1b3c167f32eb3a20be16c6c217bfdeba72b2e5e10dd368b3ed4b5bccaf6044f801d581fc30b809d26f61544d49bf4f137f0f3ec5e74ff6a0e9
Homepage: https://cran.r-project.org/package=neutralitytestr
Description: CRAN Package 'neutralitytestr' (Test for a Neutral Evolutionary Model in Cancer Sequencing Data)
 Package takes frequencies of mutations as reported by high throughput
 sequencing data from cancer and fits a theoretical neutral model of tumour
 evolution. Package outputs summary statistics and contains code for plotting
 the data and model fits. See Williams et al 2016 <doi:10.1038/ng.3489> and
 Williams et al 2017 <doi:10.1101/096305> for further details of the method.

Package: r-cran-neutrostat
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-moments, r-cran-ntsdists, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-neutrostat_0.0.2-1.ca2004.1_all.deb
Size: 153736
MD5sum: ea3755a485b08a6d40fc16ea204c6456
SHA1: a08143b49947beb7e2d22533ade2b88d3d2f5748
SHA256: 3032676e1762af9eea86c7b74c4d90bdce4cc95b43111a2118ce0cf4fe61be69
SHA512: 9000947f1f9bfdc1a4cab208f63ee63c148f773d4aa4f09999685634808720f66ddbb939a4ca6331f0859f965a973793b6b6f3656f0f7fd97996214e95b3af8d
Homepage: https://cran.r-project.org/package=neutrostat
Description: CRAN Package 'neutrostat' (Neutrosophic Statistics)
 Analyzes data involving imprecise and vague information. Provides summary
 statistics and describes the characteristics of neutrosophic data, as
 defined by Florentin Smarandache (2013).<ISBN:9781599732749>.

Package: r-cran-neutrosurvey
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-moments
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-neutrosurvey_0.1.0-1.ca2004.1_all.deb
Size: 42180
MD5sum: e777b2755623cecba9246b30af6ec489
SHA1: 2e044f3a5289200d6af4988377d6aeb6b7890881
SHA256: b9c60799896838a8e8210524e86abda6cd06e749e70a9ce3056f79a46299059a
SHA512: 24387ab24b1c732c4e9cd77aabfaa04f773c5d2b6382cbc779c2fa5674c4713bcda8e5361379902c3909578dda64f7ef3601b3b4ce6f87ff7167019cd8a7469e
Homepage: https://cran.r-project.org/package=neutroSurvey
Description: CRAN Package 'neutroSurvey' (Neutrosophic Survey Data Analysis)
 Apply neutrosophic regression type estimator and performs neutrosophic
 interval analysis including metric calculations for survey data.

Package: r-cran-neverhpfilter
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-neverhpfilter_0.4-0-1.ca2004.1_all.deb
Size: 1635236
MD5sum: 3ec2dceeb8a66f7c141b431c35191d74
SHA1: 3e4dbcc23a4881e805729e1b7098f57262512f2c
SHA256: 7ec58f71e090ba82c802febd5a4f303c7ae8907f49db8a659c9cc8f1a6e9107d
SHA512: 69ea18fa44b73f3720c4274b61e87e2df554eafac0724b68ca97afeffd2690ad3fd4e2ecc69f6e33ef43d7a4eea25f4532054fbf10974235538c1d74f8acb606
Homepage: https://cran.r-project.org/package=neverhpfilter
Description: CRAN Package 'neverhpfilter' (An Alternative to the Hodrick-Prescott Filter)
 In the working paper titled "Why You Should Never Use the Hodrick-Prescott
 Filter", James D. Hamilton proposes a new alternative to economic time
 series filtering. The neverhpfilter package provides functions and data for
 reproducing his work. Hamilton (2017) <doi:10.3386/w23429>.

Package: r-cran-new.dist
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vgam, r-cran-expint, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-new.dist_0.1.1-1.ca2004.1_all.deb
Size: 248684
MD5sum: a47467d50699d2e51762c96692e37c0b
SHA1: ffb536c92b390553fe6f7780eb337c859d0e9724
SHA256: 23dd06c5eee152bf3354a7522fb738049c5d996c57a57b80f50c8d76d99b4151
SHA512: c68127d410139dec98531f9fddbc6fc4e5bcdeeab75b845508b8c64a5569d0c4998698aa1b463975184aedc2794692c6f667b1019d7795d574eefba7bda4250f
Homepage: https://cran.r-project.org/package=new.dist
Description: CRAN Package 'new.dist' (Alternative Continuous and Discrete Distributions)
 The aim is to develop an R package, which is the 'new.dist' package, for the
 probability (density) function, the distribution function, the quantile
 function and the associated random number generation function for discrete
 and continuous distributions, which have recently been proposed in the
 literature. This package implements the following distributions: The Power
 Muth Distribution, a Bimodal Weibull Distribution, the Discrete Lindley
 Distribution, The Gamma-Lomax Distribution, Weighted Geometric Distribution,
 a Power Log-Dagum Distribution, Kumaraswamy Distribution, Lindley
 Distribution, the Unit-Inverse Gaussian Distribution, EP Distribution, Akash
 Distribution, Ishita Distribution, Maxwell Distribution, the Standard Omega
 Distribution, Slashed Generalized Rayleigh Distribution, Two-Parameter
 Rayleigh Distribution, Muth Distribution, Uniform-Geometric Distribution,
 Discrete Weibull Distribution.

Package: r-cran-newdistns
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adequacymodel
Filename: pool/dists/focal/main/r-cran-newdistns_2.1-1.ca2004.1_all.deb
Size: 317508
MD5sum: 776d31247d4ccf2a08f0d2d415eaae63
SHA1: 4a5937f0bc27a8880ca43141957a15e4138393be
SHA256: 3f382b4b805518ada71250c4f0ea2ab23294ed0ea3c3e1bacaf2fd67d0b73236
SHA512: 1ee0b4272e480c9daa6f55eb2df4471edc2b94fdb68250593839be0613de51abb2e729aa53f1d449d6922a9ad64ba6d35cb0044b51405bfa8d3db0e100220877
Homepage: https://cran.r-project.org/package=Newdistns
Description: CRAN Package 'Newdistns' (Computes Pdf, Cdf, Quantile and Random Numbers, Measures ofInference for 19 General Families of Distributions)
 Computes the probability density function, cumulative distribution function,
 quantile function, random numbers and measures of inference for the
 following general families of distributions (each family defined in terms of
 an arbitrary cdf G): Marshall Olkin G distributions, exponentiated G
 distributions, beta G distributions, gamma G distributions, Kumaraswamy G
 distributions, generalized beta G distributions, beta extended G
 distributions, gamma G distributions, gamma uniform G distributions, beta
 exponential G distributions, Weibull G distributions, log gamma G I
 distributions, log gamma G II distributions, exponentiated generalized G
 distributions, exponentiated Kumaraswamy G distributions, geometric
 exponential Poisson G distributions, truncated-exponential skew-symmetric G
 distributions, modified beta G distributions, and exponentiated exponential
 Poisson G distributions.

Package: r-cran-newfocus
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ctgt
Filename: pool/dists/focal/main/r-cran-newfocus_1.1-1.ca2004.1_all.deb
Size: 31688
MD5sum: a228a193fe5dda5dcee887d4c4499b5c
SHA1: 1ee9b5db2681eb3efb2c239f38ae7049f9068ca7
SHA256: 94d0efa4fc00a211373f00faf7745d47b9f6af8aa8dc7328bc34be59a1ad991e
SHA512: 726286d33d6372932128166d763efbc651502094cac01530d91d463187016cf171dfbea4f03176bc34a51de3aca719bb1c42b6ed7fa3aff2e0739732a02a03ae
Homepage: https://cran.r-project.org/package=newFocus
Description: CRAN Package 'newFocus' (True Discovery Guarantee by Combining Partial Closed Testings)
 Closed testing has been proved powerful for true discovery guarantee. The
 computation of closed testing is, however, quite burdensome. A general way
 to reduce computational complexity is to combine partial closed testings for
 some prespecified feature sets of interest. Partial closed testings are
 performed at Bonferroni-corrected alpha level to guarantee the lower bounds
 for the number of true discoveries in prespecified sets are simultaneously
 valid. For any post hoc chosen sets of interest, coherence property is used
 to get the lower bound. In this package, we implement closed testing with
 globaltest to calculate the lower bound for number of true discoveries, see
 Ningning Xu et.al (2021) <arXiv:2001.01541> for detailed description.

Package: r-cran-newimvc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quantreg, r-cran-expm, r-cran-compquadform, r-cran-ggmridge, r-bioc-limma
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-newimvc_0.1.0-1.ca2004.1_all.deb
Size: 39292
MD5sum: 17f5f289d446e14057eceb07aed0200b
SHA1: bd62519a1b746a7e6b74f34d2f71fa10ae44370c
SHA256: cddac08a2ba084e2170f27bef2d8554815dffdbe09964ba9b6e44a0ca9ce84e6
SHA512: 52ac390c3c266587f9f441ced6c45b8f7b78866c6073ac62d8551254678d6286504fab37a5f33d32be2702e6abff57130339afc60caacb6565bd238b1dd8cab5
Homepage: https://cran.r-project.org/package=newIMVC
Description: CRAN Package 'newIMVC' (A Robust Integrated Mean Variance Correlation)
 Measure the dependence structure between two random variables with a new
 correlation coefficient and extend it to hypothesis test, feature screening
 and false discovery rate control.

Package: r-cran-newmanomics
Architecture: all
Version: 1.0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oompabase
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-newmanomics_1.0.14-1.ca2004.1_all.deb
Size: 1068776
MD5sum: 5db3800987d87f4503944e03fea26672
SHA1: 76c0e326f8d77034546a727066a87d4283ae7ba8
SHA256: 03e6cd61d2b92849fcab5b6578e66e0e68119e7fee5162c780c8efc0158400c4
SHA512: e1cff62e63771ab7e06d2dae1bdefe3ded586584cee8aea1f0043517da7bc5f3fbadaf4995934559093e663f78779820a16dffe66c6133f7855d6d6b6f707d31
Homepage: https://cran.r-project.org/package=NewmanOmics
Description: CRAN Package 'NewmanOmics' (Extending the Newman Studentized Range Statistic toTranscriptomics)
 Extends the classical Newman studentized range statistic in various ways
 that can be applied to genome-scale transcriptomic or other expression data.

Package: r-cran-newsanchor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-httr, r-cran-jsonlite, r-cran-tidyr, r-cran-xml2, r-cran-lubridate, r-cran-askpass
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-robotstxt, r-cran-rvest, r-cran-stringr, r-cran-testthat, r-cran-mockery, r-cran-tidytext, r-cran-textdata
Filename: pool/dists/focal/main/r-cran-newsanchor_0.1.1-1.ca2004.1_all.deb
Size: 126896
MD5sum: f5dc41200a5dbf31b469a389c935dd8d
SHA1: 3ae3bf30a8f90595cc5ce33ab845e658df104bca
SHA256: 513c50fc435baa81f787bac4965e2ce326b6a7aa1858077f61658e91a871d543
SHA512: 64e2cf7e88558c143d18fdf71f3b3652aa255ed6ccdff0a1c2021a16c63c5f51298d7e064f5f05c9fa6069e622b536d9224341b0cddcf6018e571cce9e4229bb
Homepage: https://cran.r-project.org/package=newsanchor
Description: CRAN Package 'newsanchor' (Client for the News API)
 Interface to gather news from the 'News API', based on a multilevel query
 <https://newsapi.org/>. A personal API key is required.

Package: r-cran-newscatcher
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyrss
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-newscatcher_0.1.2-1.ca2004.1_all.deb
Size: 150508
MD5sum: ce498e02fb0df98fba7b958cc992a704
SHA1: 9437ce1bfc2cf4490cf06fd2c6876152d8eda3b1
SHA256: c10e6ee060818a4a594af1f4f3d2df7f53602b64ebb7fd9e816ceb01d2a8bbfb
SHA512: 504fa4ac68b9d4d5a2c7ed317f9ebbacb41ff9b2820e9177d911baa04f7cc7244f75201e23b39144b2ed6ae7d9e6adad85b2e744527b23d05cb78129c4ff6a60
Homepage: https://cran.r-project.org/package=newscatcheR
Description: CRAN Package 'newscatcheR' (Programmatically Collect Normalized News from (Almost) AnyWebsite)
 Programmatically collect normalized news from (almost) any website. An 'R'
 clone of the <https://github.com/kotartemiy/newscatcher> 'Python' module.

Package: r-cran-newsmap
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-newsmap_0.9.0-1.ca2004.1_all.deb
Size: 162132
MD5sum: 38196fedc24dd6e9eec620ea1ad8ba29
SHA1: 87d51f2fb6d7f574cbce47e72c33af496d101c29
SHA256: 22cfefd609075d30f8d89a1a37f5636beb061882ee21e1440287876476d2b2c7
SHA512: c5538050075a4bb742b9b106815042964a451eb87ddcfdb6173ccfff0dd630b6ef3f1bc574bdbaa2060c434759a7840fdfb30028fed79e149c021fb480c57935
Homepage: https://cran.r-project.org/package=newsmap
Description: CRAN Package 'newsmap' (Semi-Supervised Model for Geographical Document Classification)
 Semissupervised model for geographical document classification (Watanabe
 2018) <doi:10.1080/21670811.2017.1293487>.  This package currently contains
 seed dictionaries in English, German, French, Spanish, Italian, Russian,
 Hebrew, Arabic, Turkish, Japanese and Chinese (Simplified and Traditional).

Package: r-cran-newsmd
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6
Suggests: r-cran-desc, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-newsmd_0.5.1-1.ca2004.1_all.deb
Size: 68440
MD5sum: 6cda9b7c3770d1e0eeb11ceb0c567e23
SHA1: 2f5062d95cd40a55e513d1a46484a87905d2531d
SHA256: 4df840aa067d8acd09a0b86ac963c8952a57b7eb1436d69cdc08c610c394f6d8
SHA512: e87b9b612b08755422ff40f08e20259d98a473339c4b3f9f3a7e34099c48db19d2f4f61414e047465ed3e3a302e7e314c19ff94cd36a3d67013229710c24ce37
Homepage: https://cran.r-project.org/package=newsmd
Description: CRAN Package 'newsmd' (Creation of NEWS.md File)
 Adding updates (version or bullet points) to the NEWS.md file.

Package: r-cran-newtestsurvrec
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-newtestsurvrec_1.0.2-1.ca2004.1_all.deb
Size: 159296
MD5sum: 00f57fca792ff98e93efff625059822f
SHA1: 5037c1f481c55ea1e96614b984c5d7e7547dd2c1
SHA256: fbb0fe5fb302359a542e47f19785727f61166bdfe285d35d136b52e34a7a4085
SHA512: 4b604bf9651b41a8967c68a49ec970aa1a235b5a3f6bdb8819a6710c401d32bfdc8c2070903ad5aeaeb9f711a554b59a99efbd04e9bc6909aa384db74585be83
Homepage: https://cran.r-project.org/package=newTestSurvRec
Description: CRAN Package 'newTestSurvRec' (Statistical Tests to Compare Curves with Recurrent Events)
 Implements the routines to compare the survival curves with recurrent
 events, including the estimations of survival curves. The first model is a
 model for recurrent event, when the data are correlated or not correlated.
 It was proposed by Wang and Chang (1999) <doi:10.2307/2669690>. In the
 independent case, the survival function can be estimated by the
 generalization of the limit product model of Pena (2001)
 <doi:10.1198/016214501753381922>.

Package: r-cran-nextgenshinyapps
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-quickcode
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-r2dictionary, r-cran-r2resize, r-cran-r2social
Filename: pool/dists/focal/main/r-cran-nextgenshinyapps_2.1-1.ca2004.1_all.deb
Size: 812216
MD5sum: 1a9db6db5938a54bcab838fad2e7778e
SHA1: 7b51d5716cd54af9a7d3fca69de161081f999a6c
SHA256: 9adb96f06c69b218bc6f286aebad133ad496e228b2c8a27d95820887cc15b82b
SHA512: 55f9ec16ac8af41185d4981c6983d40d26ba503b5e7915f9422395b5ac6f0cc24447c7f1ca97cd44b0aed7c2fea504b16dbc6c45823221fd7f2183cfd838e521
Homepage: https://cran.r-project.org/package=nextGenShinyApps
Description: CRAN Package 'nextGenShinyApps' (Craft Exceptional 'R Shiny' Applications and Dashboards withNovel Responsive Tools)
 Novel responsive tools for developing R based 'Shiny' dashboards and
 applications. The scripts and style sheets are based on 'jQuery'
 <https://jquery.com/> and 'Bootstrap' <https://getbootstrap.com/>.

Package: r-cran-nexus
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2139
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dimensio, r-cran-arkhe, r-cran-isopleuros, r-cran-khroma, r-cran-mass
Suggests: r-cran-cluster, r-cran-folio, r-cran-fontquiver, r-cran-igraph, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-nexus_0.6.0-1.ca2004.1_all.deb
Size: 1367788
MD5sum: d7e83e6c065399536872c09b192e05ef
SHA1: 6405cde3cc6bf3446457f96128ec5650d4169b0f
SHA256: 2b147cfb08f6572124794ea2f8f36199d2fae2b50cc55a6482948f7de5739d7c
SHA512: 7e28a29038262359344712d6ffcded01cb083c1516d8005485949559536109da0c63d30146b5dfa1c8358d4946f0a57667e4e8ea56859b6be15c2cffd16b5343
Homepage: https://cran.r-project.org/package=nexus
Description: CRAN Package 'nexus' (Sourcing Archaeological Materials by Chemical Composition)
 Exploration and analysis of compositional data in the framework of Aitchison
 (1986, ISBN: 978-94-010-8324-9). This package provides tools for chemical
 fingerprinting and source tracking of ancient materials.

Package: r-cran-nfactors
Architecture: all
Version: 2.4.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-psych, r-cran-lattice
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nfactors_2.4.1.2-1.ca2004.1_all.deb
Size: 212924
MD5sum: 8fd11c9be1f59ba5743030acb5ac4d24
SHA1: 7527ff2cee7b076a635a9d0132936edde6cd7c04
SHA256: 57d9adda4f00b14b8e99d625a0f1992c135d25ba1347406e9507d48f244e4ec4
SHA512: b374b96fd06a0ce6052217921435dc2590c3a3c97f2ff27f145442cf44121412a0cb7e9ff5689adb0c1b6c1c03c52fbdbe296402cb3b665fd6bf5b485f04e767
Homepage: https://cran.r-project.org/package=nFactors
Description: CRAN Package 'nFactors' (Parallel Analysis and Other Non Graphical Solutions to theCattell Scree Test)
 Indices, heuristics, simulations and strategies to help determine the number
 of factors/components to retain in exploratory factor analysis and principal
 component analysis.

Package: r-cran-nfca
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nfca_0.3-1.ca2004.1_all.deb
Size: 93524
MD5sum: 5f181f4c8f7bb876574c9b6d725414eb
SHA1: a306eeb55461eb42a4fa83278ac8b40521ac13ae
SHA256: ae1d5d8861495ad7a7d502016d586870caeec94bc60dbeffcd0245dbfde66163
SHA512: 27953016c3600de20f1b8e91a73c4dc96e497dac02850dca8b6afdc20c3f1aed6a226bc9e3aa70f2e96b590e7b89f10503d3a728e1458a1053bf3a8e2e48deb9
Homepage: https://cran.r-project.org/package=nFCA
Description: CRAN Package 'nFCA' (Numerical Formal Concept Analysis for Systematic Clustering)
 Numerical Formal Concept Analysis (nFCA) is a modern unsupervised learning
 tool for analyzing general numerical data. Given input data, this R package
 nFCA outputs two nFCA graphs: a H-graph and an I-graph that reveal
 systematic, hierarchical clustering and inherent structure of the data.

Package: r-cran-nfcp
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fkf.sp, r-cran-lsmrealoptions, r-cran-mass, r-cran-numderiv, r-cran-rgenoud, r-cran-mathjaxr, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nfcp_1.2.2-1.ca2004.1_all.deb
Size: 396448
MD5sum: 6a79abb6f93b549f92fe8787823bd03c
SHA1: 41d56af92b01d78600d6a5a0e7c39c9a4f65b351
SHA256: 0b9d08dfbe089738597edcf6ffeace52fd92fbea6aef5498273afd534412597b
SHA512: 2bcb4d434582176c1e239372c7fc4bb406df6defcfde945b78950747c3d3078bdb05cc36fd63376d857bae086dbeb68d51d486677ec562157fa25e7a81aefde4
Homepage: https://cran.r-project.org/package=NFCP
Description: CRAN Package 'NFCP' (N-Factor Commodity Pricing Through Term Structure Estimation)
 Commodity pricing models are (systems of) stochastic differential equations
 that are utilized for the valuation and hedging of commodity contingent
 claims (i.e. derivative products on the commodity) and other commodity
 related investments. Commodity pricing models that capture market dynamics
 are of great importance to commodity market participants in order to
 exercise sound investment and risk-management strategies. Parameters of
 commodity pricing models are estimated through maximum likelihood
 estimation, using available term structure futures data of a commodity.
 'NFCP' (n-factor commodity pricing) provides a framework for the modeling,
 parameter estimation, probabilistic forecasting, option valuation and
 simulation of commodity prices through state space and Monte Carlo methods,
 risk-neutral valuation and Kalman filtering. 'NFCP' allows the commodity
 pricing model to consist of n correlated factors, with both random walk and
 mean-reverting elements. The n-factor commodity pricing model framework was
 first presented in the work of Cortazar and Naranjo (2006)
 <doi:10.1002/fut.20198>. Examples presented in 'NFCP' replicate the
 two-factor crude oil commodity pricing model presented in the prolific work
 of Schwartz and Smith (2000) <doi:10.1287/mnsc.46.7.893.12034> with the
 approximate term structure futures data applied within this study provided
 in the 'NFCP' package.

Package: r-cran-nfl4th
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-backports, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-magrittr, r-cran-mgcv, r-cran-nflfastr, r-cran-nflreadr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-xgboost
Suggests: r-cran-data.table, r-cran-future, r-cran-gt, r-cran-nflplotr, r-cran-rmarkdown, r-cran-tictoc, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-nfl4th_1.0.4-1.ca2004.1_all.deb
Size: 362792
MD5sum: f34c882711923542f9d8861248fa37c0
SHA1: 506aba232acef427b8578b2cc7ae15f802e7fe3e
SHA256: 55c2ed39dbbd612c161f43bda2a19541250c54c94dcd2affa6b5d313203ad79e
SHA512: 4307acd29b886348d85eced79a41804cf02b055e41dbfa3c0d772ad6d0b45c859bca84698e0385b62cf8a2d59299e314e8351e382f9e9aec8e45e9711ae0e479
Homepage: https://cran.r-project.org/package=nfl4th
Description: CRAN Package 'nfl4th' (Functions to Calculate Optimal Fourth Down Decisions in theNational Football League)
 A set of functions to estimate outcomes of fourth down plays in the National
 Football League and obtain fourth down plays from <https://www.nfl.com/> and
 <https://www.espn.com/>.

Package: r-cran-nflfastr
Architecture: all
Version: 5.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1370
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-fastrmodels, r-cran-furrr, r-cran-future, r-cran-glue, r-cran-janitor, r-cran-lifecycle, r-cran-mgcv, r-cran-nflreadr, r-cran-progressr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xgboost
Suggests: r-cran-dbi, r-cran-gsisdecoder, r-cran-nflseedr, r-cran-purrr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nflfastr_5.1.0-1.ca2004.1_all.deb
Size: 1256196
MD5sum: a79009fe30463ae54c1187f67f06a1b7
SHA1: cb3f880697262d600852b4555f791cdf2040d29e
SHA256: 19fed2a1c56fb354810d0b84d00da3cb36e827aa59108a89994a3c2ce5e017e5
SHA512: e1f7e85eb49dfebcc781380be194920049fb04c10315ccfc404a13aa464173102130d7e785c70f20f8a8f1cfea1970c60ce5111cb7185da13da82af45bb9e0da
Homepage: https://cran.r-project.org/package=nflfastR
Description: CRAN Package 'nflfastR' (Functions to Efficiently Access NFL Play by Play Data)
 A set of functions to access National Football League play-by-play data from
 <https://www.nfl.com/>.

Package: r-cran-nflplotr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2757
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-cachem, r-cran-cli, r-cran-data.table, r-cran-ggpath, r-cran-ggplot2, r-cran-gt, r-cran-lifecycle, r-cran-magick, r-cran-memoise, r-cran-nflreadr, r-cran-rlang, r-cran-scales
Suggests: r-cran-base64enc, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rsvg, r-cran-testthat, r-cran-vdiffr, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-nflplotr_1.4.0-1.ca2004.1_all.deb
Size: 2735044
MD5sum: 8378e5a8c21e4f14398688e535a024aa
SHA1: 29a02a3629d7f0118fa727844e24c550a51267ab
SHA256: e35c35227d155e7f14a3f46e4322c29450f241af5e8087186e187ae901647290
SHA512: 41e06ab6b78926a56add521bf0c3a007f2b0c9f35a72ac5a5d426872e297d8bb22832886b57cddcc06c3a6a2480409f5fed25859b2e4f4163de762cad30b69b9
Homepage: https://cran.r-project.org/package=nflplotR
Description: CRAN Package 'nflplotR' (NFL Logo Plots in 'ggplot2' and 'gt')
 A set of functions to visualize National Football League analysis in
 'ggplot2' plots and 'gt' tables.

Package: r-cran-nflreadr
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3331
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cachem, r-cran-cli, r-cran-curl, r-cran-data.table, r-cran-glue, r-cran-memoise, r-cran-rappdirs, r-cran-rlang
Suggests: r-cran-arrow, r-cran-covr, r-cran-dt, r-cran-fs, r-cran-gh, r-cran-knitr, r-cran-piggyback, r-cran-progressr, r-cran-qs, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nflreadr_1.4.1-1.ca2004.1_all.deb
Size: 416240
MD5sum: bc8bb028e04efbf565964c228d2760f1
SHA1: b3a532fa47920cc059041d787a29108766b9aefe
SHA256: 45473a245a6781c0be8a9480f5ba10779cf4bf0e0f9dcff237c3253102877972
SHA512: 9888bef6bb215cbce9b8f64ff359f6496f30038eabd425e0cb43537b9a540dad4a91e10724e5a186c483de029715a0eed8ed73898c240c032d340eb4de647607
Homepage: https://cran.r-project.org/package=nflreadr
Description: CRAN Package 'nflreadr' (Download 'nflverse' Data)
 A minimal package for downloading data from 'GitHub' repositories of the
 'nflverse' project.

Package: r-cran-nflseedr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-gsubfn, r-cran-lifecycle, r-cran-nflreadr, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-gt, r-cran-knitr, r-cran-nflplotr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nflseedr_2.0.0-1.ca2004.1_all.deb
Size: 2749972
MD5sum: f89969a7e2ae8e3832a939d58fe101cf
SHA1: 8090b92e7959ae079b3b541d5ee9314e0b176267
SHA256: f9b269e61c54c144350f7c986859017a7f9981d5023bfdf6d970ddef0151cecc
SHA512: a868ea70eda1c1f504a273fe834c5df14d945096dc73851a02ba911ad5341e45825547e3c710d1d60df160597e784311ec4b6a6f973074fbdcadd8c98a5d8185
Homepage: https://cran.r-project.org/package=nflseedR
Description: CRAN Package 'nflseedR' (Functions to Efficiently Simulate and Evaluate NFL Seasons)
 A set of functions to simulate National Football League seasons including
 the sophisticated tie-breaking procedures.

Package: r-cran-nflsimulator
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-progress, r-cran-nflfastr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nflsimulator_0.4.0-1.ca2004.1_all.deb
Size: 116312
MD5sum: 7ac322377d7117e7744397720c68e313
SHA1: 08d2410eb5eb20e9548467db6e2add5fcb547814
SHA256: d2cec75121ca76378f1b620e254e596ef0726bc6ed51b857cfff917e31b0d3a9
SHA512: 87464b3a204e05d53dfb24b592b5823bfefd293eef8bc92a64a1385ad2496ed76c039d333770a4d2a0d0941e4fd676feab75b62ead8ac3fcb0c9ac4b64f37fbc
Homepage: https://cran.r-project.org/package=NFLSimulatoR
Description: CRAN Package 'NFLSimulatoR' (Simulating Plays and Drives in the NFL)
 The intent here is to enable the simulation of plays/drives and evaluate
 game-play strategies in the National Football League (NFL).  Built-in
 strategies include going for it on fourth down and varying the proportion of
 passing/rushing plays during a drive. The user should be familiar with
 nflscrapR data before trying to write his/her own strategies. This work is
 inspired by a blog post by Mike Lopez, currently the Director of Data and
 Analytics at the NFL, Lopez (2019)
 <https://statsbylopez.netlify.app/post/resampling-nfl-drives/>.

Package: r-cran-nflverse
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-magrittr, r-cran-nfl4th, r-cran-nflfastr, r-cran-nflplotr, r-cran-nflreadr, r-cran-nflseedr, r-cran-rlang, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nflverse_1.0.3-1.ca2004.1_all.deb
Size: 89148
MD5sum: 8c22639b9192cb67174f858115360204
SHA1: e96fdd86dc9e6c3e6802d8f344e95b59c53a04f2
SHA256: fad600a3ceaabb01ebb8c029de566b0a447766c4303a741c1b230ce6d27da38d
SHA512: 02325a67a43037577d0b15f471a15248bea4ea16730d1a66752d4ca33059004854a4e06477eb7216ed5a3f7cbabec0eda3fa3c399b86b2067c2314713f2432a6
Homepage: https://cran.r-project.org/package=nflverse
Description: CRAN Package 'nflverse' (Easily Install and Load the 'nflverse')
 The 'nflverse' is a set of packages dedicated to data of the National
 Football League. This package is designed to make it easy to install and
 load multiple 'nflverse' packages in a single step. Learn more about the
 'nflverse' at <https://nflverse.nflverse.com/>.

Package: r-cran-nfp
Architecture: all
Version: 0.99.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-graph, r-cran-igraph, r-cran-stringr, r-cran-magrittr, r-cran-plyr, r-cran-ggplot2, r-cran-apcluster, r-bioc-kegggraph, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-testthat, r-bioc-graphite, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nfp_0.99.4-1.ca2004.1_all.deb
Size: 4082232
MD5sum: 8c9fef585fe6349c290503a70edc8d2a
SHA1: 27384242be71cbdc735c334488e5d3c1e887534b
SHA256: e7f6a049595ef2fb52288c2f3b2c243e4b809383695285b2f0119ef33a2803cd
SHA512: 840fb289176c83ccb7f95d5ac42106742d33c290cc7d75bebe90650c04f50d541570c36b7cdf88a8835a94ba494a2e2ac46e1457f04657cee090b809b2036a97
Homepage: https://cran.r-project.org/package=NFP
Description: CRAN Package 'NFP' (Network Fingerprint Framework in R)
 An implementation of the network fingerprint framework that introduced in
 paper "Network fingerprint: a knowledge-based characterization of biomedical
 networks" (Cui, 2015) <doi:10.1038/srep13286>. This method worked by making
 systematic comparisons to a set of well-studied "basic networks", measuring
 both the functional and topological similarity.  A biological could be
 characterized as a spectrum-like vector consisting of similarities to basic
 networks. It shows great potential in biological network study.

Package: r-cran-nfunnn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fda, r-cran-torch
Filename: pool/dists/focal/main/r-cran-nfunnn_1.0-1.ca2004.1_all.deb
Size: 19928
MD5sum: 83fb96d8b97e1dceba024abe876d64df
SHA1: dcde90c094043dc4e1500e2797bed2e969a78a8f
SHA256: b8e0486e6a2c4926bb6658f21d137137990c5fd70eaba8450b9e7a44277b275e
SHA512: 3aa54187fd94b3432715ec285059e7cf9e4a7a390026ee2e2e2abae03193e32266f7dc3f6dda30b5af6aec73439f095e8d72b44d9e0100e5ea0f91e6ea0e0298
Homepage: https://cran.r-project.org/package=nFunNN
Description: CRAN Package 'nFunNN' (Nonlinear Functional Principal Component Analysis using NeuralNetworks)
 Implementation for 'nFunNN' method, which is a novel nonlinear functional
 principal component analysis method using neural networks. The crucial
 function of this package is nFunNNmodel().

Package: r-cran-nfwdist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-gsl, r-cran-lamw
Filename: pool/dists/focal/main/r-cran-nfwdist_0.1.0-1.ca2004.1_all.deb
Size: 103356
MD5sum: 4574644688f75c5b8ac0de464680713a
SHA1: 4a2ada7c58c697635ec7f3e1bd15bc126f6eb7b1
SHA256: 55e067dbec5f55bb3cf468e43135a21b79c57d327211b0540c27f95179dfcfc5
SHA512: 2ddce959f07843b36c2a2d160736071cacb2471b5c3458c92f3b82e0c550a464a22b1250aea4ba6d6e8eeed47065eeb9f5c45fc1a749fb587913ea0817d9d478
Homepage: https://cran.r-project.org/package=NFWdist
Description: CRAN Package 'NFWdist' (The Standard Distribution Functions for the 3D NFW Profile)
 Density, distribution function, quantile function and random generation for
 the 3D Navarro, Frenk & White (NFW) profile. For details see Robotham &
 Howlett (2018) <arXiv:1805.09550>.

Package: r-cran-ngboostforecast
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reticulate, r-cran-dplyr, r-cran-forecast, r-cran-magrittr, r-cran-r6
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ngboostforecast_0.1.1-1.ca2004.1_all.deb
Size: 217056
MD5sum: b6a876a5ba40cb5bf6c09fa507fe3408
SHA1: eb300b9fe56b53c1c747e570e0c977ad2657aeb7
SHA256: 33729c09d9b51aa196fff32ce0b72edc1a1a3e72529ba5481f925c9fbd4dfc36
SHA512: ca389439222ccd5a0d0704dadba387046380ceeaafaef6a6e137e84a21c0b2882daa7c2a7d28fbde7d766b3033136e8080261b975e5482dd14bb6308b398bf13
Homepage: https://cran.r-project.org/package=ngboostForecast
Description: CRAN Package 'ngboostForecast' (Probabilistic Time Series Forecasting)
 Probabilistic time series forecasting via Natural Gradient Boosting for
 Probabilistic Prediction.

Package: r-cran-ngbvs
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-ngbvs_0.3.0-1.ca2004.1_all.deb
Size: 65868
MD5sum: 52b1fcc61fa852508ceed17a69c00c9b
SHA1: 413f5f3b4c642136b77c5446e3407ac76081bca0
SHA256: 3df5b86595118cebd7f5741f22705d11973c8aa4d59fd9a9a1502f003f928317
SHA512: 85d7c103189c2ad1dc46f10af137d75a1317dcd2ce3f75d953fa92cc996c8d119e12220959f345f43bd734c0a0ff1f8acfb8d633f8219e77a9d912600cc35db2
Homepage: https://cran.r-project.org/package=NGBVS
Description: CRAN Package 'NGBVS' (Bayesian Variable Selection for SNP Data using Normal-Gamma)
 Posterior distribution of case-control fine-mapping. Specifically, Bayesian
 variable selection for single-nucleotide polymorphism (SNP) data using the
 normal-gamma prior. Alenazi A.A., Cox A., Juarez M,. Lin W-Y. and Walters,
 K. (2019) Bayesian variable selection using partially observed categorical
 prior information in fine-mapping association studies, Genetic Epidemiology.
 <doi:10.1002/gepi.22213>.

Package: r-cran-ngchm
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-htmltools, r-cran-httr, r-cran-jsonlite, r-cran-logger, r-cran-tsvio
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rtsne, r-cran-testthat, r-cran-umap, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-ngchm_1.0.4-1.ca2004.1_all.deb
Size: 967288
MD5sum: b75016382674fff64decb87feef3eb12
SHA1: 1ee90f7de91803e86c8b972682459e049f7b5eb3
SHA256: 9181a7189264f5a255c0d18681b4a0463a57a5ea2c85eabb59b6b3908a5f0e4a
SHA512: 456653ff448243a03c82f2589392a3356a029d70fa3e97228800703ec4784f26b550cd6604613f5ff7a8fc218396a59f9bdb364b2e3058f134cb896e02a2d15d
Homepage: https://cran.r-project.org/package=NGCHM
Description: CRAN Package 'NGCHM' (Next Generation Clustered Heat Maps)
 Next-Generation Clustered Heat Maps (NG-CHMs) allow for dynamic exploration
 of heat map data in a web browser. 'NGCHM' allows users to create both
 stand-alone HTML files containing a Next-Generation Clustered Heat Map, and
 .ngchm files to view in the NG-CHM viewer. See Ryan MC, Stucky M, et al
 (2020) <doi:10.12688/f1000research.20590.2> for more details.

Package: r-cran-nglviewer
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr, r-cran-shiny
Suggests: r-cran-knitr, r-cran-webshot, r-cran-markdown, r-cran-rmarkdown, r-cran-colourpicker
Filename: pool/dists/focal/main/r-cran-nglviewer_1.4.0-1.ca2004.1_all.deb
Size: 888116
MD5sum: 88f50aee062743dd3bc4b0a75a9497dd
SHA1: 11d7a8096cff0775741fa6eb6aa43cb868bb7cc6
SHA256: 4804baea7fd072ee2be1d028baad4f44c8f93ee181cdf8ea5603977d96352900
SHA512: 7942815b8440efa7dafbbbb76a9651950df52804da18a5c51ab49539791ae05ff9bac667785b7c5d11034e1a3ab1658ecbf434a1e26f6ca7f01c81956c131d91
Homepage: https://cran.r-project.org/package=NGLVieweR
Description: CRAN Package 'NGLVieweR' (Interactive 3D Visualization of Molecular Structures)
 Provides an 'htmlwidgets' <https://www.htmlwidgets.org/> interface to
 'NGL.js' <http://nglviewer.org/ngl/api/>.  'NGLvieweR' can be used to
 visualize and interact with protein databank ('PDB') and structural files in
 R and Shiny applications.  It includes a set of API functions to manipulate
 the viewer after creation in Shiny.

Package: r-cran-ngramr
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-rlang, r-cran-curl, r-cran-dplyr, r-cran-cli, r-cran-tibble, r-cran-tidyr, r-cran-rjson, r-cran-stringr, r-cran-ggplot2, r-cran-scales, r-cran-xml2, r-cran-textutils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ngramr_1.10.0-1.ca2004.1_all.deb
Size: 341248
MD5sum: 88d8a0fcb88556a083b0bc0dadcd24d7
SHA1: ec8cbbfc4fb9f5600a952cba3eed6e6cef65d8ea
SHA256: c68723b4b1d298a2c90ee384986eb948f73a17e1d6cd622b98ba29d5e81c4691
SHA512: 8793dffadd1ff42943d91703a350021ca767199aa8e96207232541044d2c92d7429545ad6a7786cf18de14d1d915ff458429edf19289ed8deba60cab69574a27
Homepage: https://cran.r-project.org/package=ngramr
Description: CRAN Package 'ngramr' (Retrieve and Plot Google n-Gram Data)
 Retrieve and plot word frequencies through time from the "Google Ngram
 Viewer" <https://books.google.com/ngrams>.

Package: r-cran-ngramrr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tm, r-cran-tau
Suggests: r-cran-testthat, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ngramrr_0.2.0-1.ca2004.1_all.deb
Size: 16684
MD5sum: f77b3611b7560eea2281fa4003f26b59
SHA1: ac64779672cce21be9719a2b31fe00fda6dbe1b2
SHA256: 92cee101ffa8d179f1c0f7c92bcfa7cb213f6d23955a4791e32f46786e680b37
SHA512: f9a174c035fb1c9d7862c4586ffb77f986b5dadbe2fe22b02e7c6f27775a4af4bc6bcd4e12e135ac65d2a563525a085e6a1e8b617f080277795e4bb03c3111cb
Homepage: https://cran.r-project.org/package=ngramrr
Description: CRAN Package 'ngramrr' (A Simple General Purpose N-Gram Tokenizer)
 A simple n-gram (contiguous sequences of n items from a given sequence of
 text) tokenizer to be used with the 'tm' package with no 'rJava'/'RWeka'
 dependency.

Package: r-cran-ngsseml
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-interp, r-cran-mvtnorm, r-cran-dlm, r-cran-car
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ngsseml_2.2-1.ca2004.1_all.deb
Size: 326088
MD5sum: f3d375506e60f0421e35f97c1ec0e0e7
SHA1: 268eb3b3b48bbc36435b2df5fbebd99738ed4c1a
SHA256: 46bea513cafe00b04fdf00c18e229a1396648fba47795f3f00b09e7d768f2859
SHA512: 575bd75f0fbcf12e3baca9ba0f86f03c0f18bf3b1ca27b2351764fc365f59c905f1228e9814a42bbaee322e2a888996228872d24e194043a118c0b0a41751d84
Homepage: https://cran.r-project.org/package=NGSSEML
Description: CRAN Package 'NGSSEML' (Non-Gaussian State-Space with Exact Marginal Likelihood)
 Due to a large quantity of non-Gaussian time series and reliability data,
 the R-package non-Gaussian state-space with exact marginal likelihood is
 useful for modeling and forecasting non-Gaussian time series and reliability
 data via non-Gaussian state-space models with the exact marginal likelihood
 easily, see Gamerman, Santos and Franco (2013) <doi:10.1111/jtsa.12039> and
 Santos, Gamerman and Franco (2017) <doi:10.1109/TR.2017.2670142>. The
 package gives codes for formulating and specifying the non-Gaussian
 state-space models in the R language. Inferences for the parameters of the
 model can be made under the classical and Bayesian. Furthermore, prediction,
 filtering, and smoothing procedures can be used to perform inferences for
 the latent parameters. Applications include, e.g., count, volatility,
 piecewise exponential, and software reliability data.

Package: r-cran-nhanes
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1777
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mosaic
Filename: pool/dists/focal/main/r-cran-nhanes_2.1.0-1.ca2004.1_all.deb
Size: 1729484
MD5sum: bd9c986de333bd7e2edf9028e624af3e
SHA1: 8e18b02a0824b17a89bd1a01d13ea3f68f2a9d6a
SHA256: 70666ec0ac625f733c27f13dce906cbd5309433d5f820355b6222d97c3d5ea24
SHA512: 8a2fc41ebcebbe5d5a2786b4973bd6935020d021cb3cdbbfdf1ffaa7cbbe52fc455925477acc95426d9dbc7e713fb95d0b44a51316b56a06d8cb88314c8f81db
Homepage: https://cran.r-project.org/package=NHANES
Description: CRAN Package 'NHANES' (Data from the US National Health and Nutrition Examination Study)
 Body Shape and related measurements from the US National Health and
 Nutrition Examination Survey (NHANES, 1999-2004).  See
 http://www.cdc.gov/nchs/nhanes.htm for details.

Package: r-cran-nhanesa
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-foreign, r-cran-rvest, r-cran-xml2, r-cran-dplyr, r-cran-plyr
Suggests: r-cran-knitr, r-cran-dbi, r-cran-odbc, r-cran-rmariadb, r-cran-rpostgres, r-cran-rmarkdown, r-cran-survey, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-nhanesa_1.3-1.ca2004.1_all.deb
Size: 461368
MD5sum: e5803ef3af485c8db42dee76063a7258
SHA1: 1989e298edd1a27e69ce609eab720464e90c135f
SHA256: 2eaba0c604f83dcc69801b55476d616665ca7d3e3b9d23d693c8d8993dfb5350
SHA512: ca5266c8bb816d49dd413cf74ab5c2eb3511c4787fd589663d42aca1f275ecfe3df69be5237274eb05f366b270517c15a576768704b159a00ccd0e1415fc5bb4
Homepage: https://cran.r-project.org/package=nhanesA
Description: CRAN Package 'nhanesA' (NHANES Data Retrieval)
 Utility to retrieve data from the National Health and Nutrition Examination
 Survey (NHANES) website <https://www.cdc.gov/nchs/nhanes/>.

Package: r-cran-nhdplustools
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7451
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-hydroloom, r-cran-dataretrieval, r-cran-dplyr, r-cran-sf, r-cran-units, r-cran-magrittr, r-cran-jsonlite, r-cran-httr, r-cran-xml2, r-cran-r.utils, r-cran-tidyr, r-cran-maptiles, r-cran-mapsf, r-cran-fst, r-cran-arrow, r-cran-zip, r-cran-pbapply, r-cran-memoise, r-cran-digest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggmap, r-cran-ggplot2, r-cran-lwgeom, r-cran-gifski, r-cran-leaflet, r-cran-httptest, r-cran-future, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-nhdplustools_1.3.2-1.ca2004.1_all.deb
Size: 4996576
MD5sum: 7513003920d12bca44cc4c809ee61fc4
SHA1: b7212ed22b4f517cac5f62871fc8fa7c2606f07c
SHA256: b7d329f3a0a9d140e318e08d7a51e13b34f6ee66d7c525f90287393d13964d86
SHA512: 5aa4e4297ffb025111e8e6a45b411b1a8415f032949c0275ced25fd785856f3e0ec4211ec00d0b9b18202cc70ce4d2529bd1b829539281a8289169ec3242c8c9
Homepage: https://cran.r-project.org/package=nhdplusTools
Description: CRAN Package 'nhdplusTools' (NHDPlus Tools)
 Tools for traversing and working with National Hydrography Dataset Plus
 (NHDPlus) data. All methods implemented in 'nhdplusTools' are available in
 the NHDPlus documentation available from the US Environmental Protection
 Agency <https://www.epa.gov/waterdata/basic-information>.

Package: r-cran-nhdr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maps, r-cran-rappdirs, r-cran-sf, r-cran-httr, r-cran-rvest, r-cran-xml2, r-cran-foreign, r-cran-ggplot2, r-cran-rlang, r-cran-dplyr, r-cran-curl, r-cran-units, r-cran-stringr, r-cran-memoise, r-cran-purrr, r-cran-digest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-wikilake, r-cran-sp, r-cran-testthat, r-cran-covr, r-cran-crul, r-cran-lwgeom, r-cran-s2
Filename: pool/dists/focal/main/r-cran-nhdr_0.6.1-1.ca2004.1_all.deb
Size: 1188296
MD5sum: 1795245a2c4cd13a61cea59eaf8d07af
SHA1: 0d067e9fc07e9a76c4f94435f0ec4b072054df9c
SHA256: d3eeb3559aaf8302f025bc2d9a429c885548e7d6d4494e05b288803368353a1b
SHA512: 3c96e8a1018e47f57d2b7d1461c945da833bef1d42a5c9f452d7d35fd1b1be5a2736dfee8e31a897db22a4715fc55d312d52ec12d2407b5ba1174ca9f4ac1bbf
Homepage: https://cran.r-project.org/package=nhdR
Description: CRAN Package 'nhdR' (Tools for Working with the National Hydrography Dataset)
 Tools for working with the National Hydrography Dataset, with functions for
 querying, downloading, and networking both the NHD
 <https://www.usgs.gov/national-hydrography> and NHDPlus
 <https://www.epa.gov/waterdata/nhdplus-national-hydrography-dataset-plus>
 datasets.

Package: r-cran-nhlapi
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nhlapi_0.1.4-1.ca2004.1_all.deb
Size: 552220
MD5sum: cfd40a19a1c9623af353539095e423b5
SHA1: 3fea5df24fc3f4841357208d5e74856ba90d4164
SHA256: d744391a950945fdc3255f50222d7ee600e5090d8aad9cccad7c8f45d1dba5b9
SHA512: 0d56de94df73918f7df2badfaad6b02519f0f9e98469fe95bf2a1d050b5b61ca295e87bf9f7e83f4546a0e5a8786a9ed10812207ea5455c0e1bfd8a5331efe85
Homepage: https://cran.r-project.org/package=nhlapi
Description: CRAN Package 'nhlapi' (A Minimum-Dependency 'R' Interface to the 'NHL' API)
 Retrieves and processes the data exposed by the open 'NHL' API. This
 includes information on players, teams, games, tournaments, drafts,
 standings, schedules and other endpoints. A lower-level interface to access
 the data via URLs directly is also provided.

Package: r-cran-nhldata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nhldata_1.0.0-1.ca2004.1_all.deb
Size: 527804
MD5sum: 57f168b321c54234d9a7e2477e993505
SHA1: ca488b4e8b97a1cf890cc73f2b263b24457c0e09
SHA256: ed58220bc5d1fe2f847a786f7079f393a34b41622877dcc5aa874ca84900c92a
SHA512: 07283896dc70e859eef4448a5a751b5eb73ad41f28fee124a5043b760b568a31f69ee2c92caec1e66ee6b4e5f7677e793bba1c52b8bf3baf20eabd994475500a
Homepage: https://cran.r-project.org/package=NHLData
Description: CRAN Package 'NHLData' (Scores for Every Season Since the Founding of the NHL in 1917)
 Each dataset contains scores for every game during a specific season of the
 NHL.

Package: r-cran-nhlscrape
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rsqlite, r-cran-rvest, r-cran-dbi, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nhlscrape_0.1.3-1.ca2004.1_all.deb
Size: 82532
MD5sum: 77a022b4bd574452b8f3276205fd345f
SHA1: 721acd7990ece31fcfd89896f722806e40d4f8aa
SHA256: 3d8577e016a57f3d83b547bd8ea7ede247ec6448b7e75bddcd521354eec0efa7
SHA512: dd2031db55399668821aab8c11c7e7cc86154c7217ec69f064e582c22214584982809cb6ec22e2805da081e6678e39705863d377b5a50c29e1166812a503844e
Homepage: https://cran.r-project.org/package=nhlscrape
Description: CRAN Package 'nhlscrape' (Scrapes the 'NHL' API for Statistical Analysis)
 Add game events to a database file to use for statistical analysis of hockey
 games. This means we only call the 'NHL' API once for each game we want to
 add. We will have very fast retrieval of data once games have been added
 since the data is stored locally.  We use the API located at
 <https://statsapi.web.nhl.com/api/v1/teams> with supplemental data from
 <https://www.nhl.com/scores/>.  Other endpoints can be found at
 <https://gitlab.com/dword4/nhlapi>.

Package: r-cran-nhlscraper
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nhlscraper_0.1.1-1.ca2004.1_all.deb
Size: 113040
MD5sum: a84b4716d472aaecb136ef41e1cf32a6
SHA1: 0f070a6874f4fe8d0e7041853c1d8924cc9d07c4
SHA256: e1c3c5bcbac700d843979def74115e21e916555523d47a8c0c0f83608a83c395
SHA512: fc8e284761f22e4ecfc8585c71e5573949910c3beaad75e7f95d5d994389340d760c99ef5b8624c5396f777ad50075364ed0c00a78ec0f720e5c1f4773b864a0
Homepage: https://cran.r-project.org/package=nhlscraper
Description: CRAN Package 'nhlscraper' (Scraper for National Hockey League Data)
 Scrapes data from the 'NHL' API into 'tibble's. It primarily wraps endpoints
 documented by Zach Maludzinski (2023)
 <https://github.com/Zmalski/NHL-API-Reference>. It covers data from
 high-level multi-season summaries to low-level play-by-play logs.

Package: r-cran-nhmsar
Architecture: all
Version: 1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1629
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ucminf, r-cran-lars, r-cran-glasso, r-cran-ncvreg
Filename: pool/dists/focal/main/r-cran-nhmsar_1.19-1.ca2004.1_all.deb
Size: 1623000
MD5sum: f16443707ff414f4bfad582de71bd876
SHA1: e9ab8fe90cf7a7299b450c594a19ce73a329fdc4
SHA256: f134aee5ef8bad3b608fa227e70216fac207ba5af51cd1e61972476d9354f287
SHA512: 4f2c067102c39fc1727da56d13529109b40d1a143fc69063f7bd914180faf931ebbbbea3cb9282c830002dfb171acb234343fc818f83c47d990c1faf09d2efd2
Homepage: https://cran.r-project.org/package=NHMSAR
Description: CRAN Package 'NHMSAR' (Non-Homogeneous Markov Switching Autoregressive Models)
 Calibration, simulation, validation of (non-)homogeneous Markov switching
 autoregressive models with Gaussian or von Mises innovations.  Penalization
 methods are implemented for Markov Switching Vector Autoregressive Models of
 order 1 only. Most functions of the package handle missing values.

Package: r-cran-nhpoisson
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-nhpoisson_3.3-1.ca2004.1_all.deb
Size: 442504
MD5sum: 753d5b033e701c0cca9e001107670101
SHA1: 4aa65e12a325ca3d2da41291d7b135406d1f580a
SHA256: 3c321259c6e1485e22ad2e70598cbe87da87408a300c1dbc4db132ef09bb51c6
SHA512: cc4dd99b500c0aefe3adb49765b54d06f6e323133c5bb28d463cef08af5060df9de728da28cfb6dad776418dd5f03f4968d32ee7cf3d502781792254c4befa0e
Homepage: https://cran.r-project.org/package=NHPoisson
Description: CRAN Package 'NHPoisson' (Modelling and Validation of Non Homogeneous Poisson Processes)
 Tools for modelling, ML estimation, validation analysis and simulation of
 non homogeneous Poisson processes in time.

Package: r-cran-nhs.predict
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nhs.predict_1.4.0-1.ca2004.1_all.deb
Size: 54592
MD5sum: de50294bc21282fd05900e451e774b47
SHA1: 9b37d83b7f85c074326f6af3bf2d182728f3451a
SHA256: 1384703f1e4d62d6e902b7a4e98f4cdca24bc16d846e63d78e77fdfa635f0172
SHA512: a552986f7c50098a741164babf9f550451f383956bcb89795dc75769413c9ff5b74f76d60649358c6220214a21155e1d1b12a12e5aa13423a5967d054e28d1b9
Homepage: https://cran.r-project.org/package=nhs.predict
Description: CRAN Package 'nhs.predict' (Breast Cancer Survival and Therapy Benefits)
 Calculate Overall Survival or Recurrence-Free Survival for breast cancer
 patients, using 'NHS Predict'.  The time interval for the estimation can be
 set up to 15 years, with default at 10.  Incremental therapy benefits are
 estimated for hormone therapy, chemotherapy, trastuzumab, and
 bisphosphonates.  An additional function, suited for SCAN audits, features a
 more user-friendly version of the code, with fewer inputs, but necessitates
 the correct standardised inputs.  This work is not affiliated with the
 development of 'NHS Predict' and its underlying statistical model.  Details
 on 'NHS Predict' can be found at: <doi:10.1186/bcr2464>.  The web version of
 'NHS Predict': <https://breast.predict.nhs.uk/>.  A small dataset of 50
 fictional patient observations is provided for the purpose of running
 examples with the main two functions, and an additional dataset is provided
 for running example with the dedicated SCAN function.

Package: r-cran-nhsdatadictionary
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-dplyr, r-cran-magrittr, r-cran-rvest, r-cran-stringr, r-cran-purrr, r-cran-tibble, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-nhsdatadictionary_1.2.5-1.ca2004.1_all.deb
Size: 148032
MD5sum: bce5d3b57d6ff893773a0c9028a6ae22
SHA1: 3ee061f98f630982b9d9a298f3d580bcd887a0b8
SHA256: 6609255c4752a349975b4af736ee0b03137c64148ca56c46d0b7552a4fa88c3e
SHA512: 575562e1759a9601c5576728bce7df89bbed6df9c3a70c99290fbd084ffee4b9ce452ef36c2799937596ffe084bc93d7bb0df7e4ae2818956232790dedecc3c0
Homepage: https://cran.r-project.org/package=NHSDataDictionaRy
Description: CRAN Package 'NHSDataDictionaRy' (NHS Data Dictionary Toolset for NHS Lookups)
 Providing a common set of simplified web scraping tools for working with the
 NHS Data Dictionary
 <https://datadictionary.nhs.uk/data_elements_overview.html>.  The intended
 usage is to access the data elements section of the NHS Data Dictionary to
 access key lookups.  The benefits of having it in this package are that the
 lookups are the live lookups on the website and will not need to be
 maintained.  This package was commissioned by the NHS-R community
 <https://nhsrcommunity.com/> to provide this consistency of lookups.  The
 OpenSafely lookups have now been added
 <https://www.opencodelists.org/docs/>.

Package: r-cran-nhsnumber
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nhsnumber_0.1.2-1.ca2004.1_all.deb
Size: 15392
MD5sum: d880b24f40f9265f68e201865ea4c12c
SHA1: 3d1f9af00184daa41e18b8f43d551f51745f4bf9
SHA256: 9834f377f4b5eb5d83ec03feab52b4eb3180cf5cf3393ca8c6dd0bce6ffd1e07
SHA512: 249f6346e95078c6e8143103732bf8c4060f55a3fe2912cc9dbcab56a3975a82dd3cddc1346611b2368e2174fd9d2aafb87653744b89ffbe7eab668b8b64563c
Homepage: https://cran.r-project.org/package=nhsnumber
Description: CRAN Package 'nhsnumber' (Tools for Working with NHS Number Checksums)
 Provides functions for working with NHS number checksums.  The UK's National
 Health Service issues NHS numbers to all users of its services and this
 package implements functions for verifying that the numbers are valid
 according to the checksum scheme the NHS use.  Numbers can be validated and
 checksums created.

Package: r-cran-nhsrdatasets
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 633
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-caret, r-cran-e1071, r-cran-readr, r-cran-lattice, r-cran-magrittr, r-cran-varhandle, r-cran-rsample, r-cran-ggplot2, r-cran-lme4, r-cran-mass, r-cran-modelmetrics, r-cran-lmtest, r-cran-rmarkdown, r-cran-scales, r-cran-ggrepel, r-cran-lubridate, r-cran-tidyr, r-cran-forcats, r-cran-knitr, r-cran-janitor, r-cran-stringi, r-cran-synthpop
Filename: pool/dists/focal/main/r-cran-nhsrdatasets_0.3.0-1.ca2004.1_all.deb
Size: 262012
MD5sum: ebd3ea7126551bb8b94b191a25b7390f
SHA1: 022857dbddd4e5d2016d5129695e2213b4bb7f72
SHA256: 54ed33ef24b8f1ad5d51bf5b4e666acac555f8db8f31a24d9a08bcab82c65101
SHA512: 52af3652c5a35378ecfd9f85da92a4bc1f3fd54e5d7321ab0fa41763f9e4be05a43f47eb2634e60756a9ec981d6729ca79a7ce5082b60c693053643d0dcdb690
Homepage: https://cran.r-project.org/package=NHSRdatasets
Description: CRAN Package 'NHSRdatasets' (NHS and Healthcare-Related Data for Education and Training)
 Free United Kingdom National Health Service (NHS) and other healthcare, or
 population health-related data for education and training purposes. This
 package contains synthetic data based on real healthcare datasets, or cuts
 of open-licenced official data.  This package exists to support skills
 development in the NHS-R community: <https://nhsrcommunity.com/>.

Package: r-cran-nhsrplotthedots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-dplyr, r-cran-rlang, r-cran-crayon, r-cran-nhsrdatasets, r-cran-assertthat
Suggests: r-cran-covr, r-cran-lintr, r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-mockery, r-cran-withr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-nhsrplotthedots_0.1.0-1.ca2004.1_all.deb
Size: 396408
MD5sum: b0642ecc7535f40e38838fbe4c60b609
SHA1: c8a1b80baaa1e8623da5786b001bacbc898216c5
SHA256: a6039552392967840f86cf0042a1d163f6cac7906d1b97d76d401222cf440483
SHA512: c6aeb709ed0af2f8f36e9f4b0e54fb88c2a8650f4155a7999f0191cd4e0243b67523f4c79fc1a446b4c0a6ad5dc1b7ac2b8f107cf4c2e351b1d92e50380836e3
Homepage: https://cran.r-project.org/package=NHSRplotthedots
Description: CRAN Package 'NHSRplotthedots' (Draw XmR Charts for NHSE/I 'Making Data Count' Programme)
 Provides tools for drawing Statistical Process Control (SPC) charts. This
 package supports the NHSE/I programme 'Making Data Count', and allows users
 to draw XmR charts, use change points and apply rules with summary
 indicators for when rules are breached.

Package: r-cran-nhsrwaitinglist
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 628
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-rlang, r-cran-randomnames
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nhsrwaitinglist_0.1.1-1.ca2004.1_all.deb
Size: 367020
MD5sum: 1bfeb590f306d047afaa7e21d93395e6
SHA1: d0a0506a50a31d66825998cdf5c4dbc5302c150e
SHA256: 10e014468dddb4087340f6d701d5404dfe266829f7a92618c4249b66c182b827
SHA512: a4d98f83594ca9b95b07d52857a6e953aec6c5776ed364691585e00b0068412fc9809aa370814c2289f6e1a365e22fc3dd95d31cbc2cddc4b9d3d33f1f0e2975
Homepage: https://cran.r-project.org/package=NHSRwaitinglist
Description: CRAN Package 'NHSRwaitinglist' (Waiting List Metrics Using Queuing Theory)
 Waiting list management using queuing theory to analyse, predict and manage
 queues, based on the approach described in Fong et al. (2022)
 <doi:10.1101/2022.08.23.22279117>.  Aimed at UK National Health Service
 (NHS) applications, waiting list summary statistics, target-value
 calculations, waiting list simulation, and scheduling functions are
 included.

Package: r-cran-nhstplot
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1715
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nhstplot_1.3.0-1.ca2004.1_all.deb
Size: 945640
MD5sum: 25ecf6db3552fe94fdac9e79c57f0371
SHA1: ff1d5a7f421e1be07049ff4d5784362aba841a5e
SHA256: e96eff44c375ae23292f7698bca8611859b461eab3652d742a1eaebdc9e5ec4b
SHA512: 1e18a33d6a9b195ad2e2ee1f6822b6b2456049042c02f342c97ea49a71017d8428674b23f9da2ef2524b45706f4c66638cd13a9bdd30537a5a1a6f675a479df0
Homepage: https://cran.r-project.org/package=nhstplot
Description: CRAN Package 'nhstplot' (Plot Null Hypothesis Significance Tests)
 Illustrate graphically the most common Null Hypothesis Significance Testing
 procedures. More specifically, this package provides functions to plot
 Chi-Squared, F, t (one- and two-tailed) and z (one- and two-tailed) tests,
 by plotting the probability density under the null hypothesis as a function
 of the different test statistic values. Although highly flexible (color
 theme, fonts, etc.), only the minimal number of arguments (observed test
 statistic, degrees of freedom) are necessary for a clear and useful graph to
 be plotted, with the observed test statistic and the p value, as well as
 their corresponding value labels. The axes are automatically scaled to
 present the relevant part and the overall shape of the probability density
 function. This package is especially intended for education purposes, as it
 provides a helpful support to help explain the Null Hypothesis Significance
 Testing process, its use and/or shortcomings.

Package: r-cran-niarules
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-niarules_0.2.0-1.ca2004.1_all.deb
Size: 111668
MD5sum: 11a6eac92a5a9eeda1010af655f6cb0e
SHA1: 1c8845a9ea4f5d1493c00fe62284e4cc5f9d28a8
SHA256: 36168b2980ad34334d38b561cbe22acb03cf2267b6a63915019cdb48aa754b88
SHA512: 53bdc3debd220903fe1f5f74c76f9b9b9b86060633b9594be4990cb51ede677c5aa94f45474e9c07c8780faaa85e97555ca7979fde3dda8b04d06bbee7e280d2
Homepage: https://cran.r-project.org/package=niarules
Description: CRAN Package 'niarules' (Numerical Association Rule Mining using Population-BasedNature-Inspired Algorithms)
 Framework is devoted to mining numerical association rules through the
 utilization of nature-inspired algorithms for optimization. Drawing
 inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages,
 this repository introduces the capability to perform numerical association
 rule mining in the R programming language.  Fister Jr., Iglesias, Galvez,
 Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.

Package: r-cran-nic
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1712
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-palmerpenguins, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-nic_0.0.2-1.ca2004.1_all.deb
Size: 1604468
MD5sum: df97f1d9954e8e50338f9bbb7e580a91
SHA1: 0881c049a7e73df508d8cd180fa441f12dee5881
SHA256: 8e58a2a512c339344e14e957fbf5e6155cfc0068c44f0406cfebc683c8e6c978
SHA512: 887db9376caa8e58c101be390cf5be35a6c07ba809ed36ac5eefbde832db201bfa844e2ccacfde7d58bf814f9b3af9ae31e13b1ffcd6e7e8f3d0f2c410ff7a03
Homepage: https://cran.r-project.org/package=nic
Description: CRAN Package 'nic' (Nature Inspired Colours)
 Color palettes based on nature inspired colours in "Sri Lanka".

Package: r-cran-nichebarcoding
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-dismo, r-cran-e1071, r-cran-maps, r-cran-proc, r-cran-randomforest, r-cran-raster, r-cran-rjava, r-cran-spider, r-cran-vegan
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nichebarcoding_1.0-1.ca2004.1_all.deb
Size: 1063440
MD5sum: 6f6f987858c2fa865d5bcbbbd087b169
SHA1: 77f83c3956eb49a9ea8e76de246ffc11b4b21687
SHA256: 3d125ddfe10900d69f0ce98f2547f69ee1e2e840d83e74f3ab514e70bae79c2f
SHA512: ccb829315496ea6bc7f4a7fb0e7bfb8f8542db4568e7aef295d865d27ae8e78a4cef5ddd0e4f324e8d0f4e057e51a8b68328c303d26d358c93735cf15870b558
Homepage: https://cran.r-project.org/package=NicheBarcoding
Description: CRAN Package 'NicheBarcoding' (Niche-model-Based Species Identification)
 Species Identification using DNA Barcodes Integrated with Environmental
 Niche Models.

Package: r-cran-nicherover
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 793
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nicherover_1.1.2-1.ca2004.1_all.deb
Size: 568964
MD5sum: fd2972a7aec5beac5267c8f14fd69e42
SHA1: 8d7ea1f839e0ec8b8e2bb459fc513c28a0a8480a
SHA256: 24fae6d886db6abed5b9dbd8ab4f9fe007d00b94110fb9bd3c0c0d5316904c96
SHA512: ac1a058729f57c60f31acc661264bc4a9f2841a71ee6542aa7558a1d0372d1b60a43962d2145bac06798580add6a6ffd17340eb343bd23bce4b633a93d561e49
Homepage: https://cran.r-project.org/package=nicheROVER
Description: CRAN Package 'nicheROVER' (Niche Region and Niche Overlap Metrics for MultidimensionalEcological Niches)
 Implementation of a probabilistic method to calculate 'nicheROVER' (_niche_
 _r_egion and niche _over_lap) metrics using multidimensional niche indicator
 data (e.g., stable isotopes, environmental variables, etc.). The niche
 region is defined as the joint probability density function of the
 multidimensional niche indicators at a user-defined probability alpha (e.g.,
 95%).  Uncertainty is accounted for in a Bayesian framework, and the method
 can be extended to three or more indicator dimensions.  It provides
 directional estimates of niche overlap, accounts for species-specific
 distributions in multivariate niche space, and produces unique and
 consistent bivariate projections of the multivariate niche region.  The
 article by Swanson et al. (2015) <doi:10.1890/14-0235.1> provides a detailed
 description of the methodology.  See the package vignette for a worked
 example using fish stable isotope data.

Package: r-cran-nichetools
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2005
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ellipse, r-cran-lifecycle, r-cran-nicherover, r-cran-purrr, r-cran-rlang, r-cran-siber, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-bayestestr, r-cran-ggplot2, r-cran-ggdist, r-cran-ggtext, r-cran-ggh4x, r-cran-janitor, r-cran-knitr, r-cran-patchwork, r-cran-rjags, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-nichetools_0.3.2-1.ca2004.1_all.deb
Size: 1687576
MD5sum: 06079b196bb89d94fa9447fc37e5200f
SHA1: 92b7f948f5cc1e92cea9f1e26e863dad2146870f
SHA256: dcf18a2bbbabaf718ad448122815aa506ddb45cfc2545547f708944bb33a19a3
SHA512: bd04a022c4e1159807fc1fb924c972aea67de6a156a0d315c24f59ac386c27207bbbb2fba8f46bce754c1c7d850810a66d43cfa940ef8dd5c06ba70ee15e6111
Homepage: https://cran.r-project.org/package=nichetools
Description: CRAN Package 'nichetools' (Complementary Package to 'nicheROVER' and 'SIBER')
 Provides functions complementary to packages 'nicheROVER' and 'SIBER'
 allowing the user to extract Bayesian estimates from data objects created by
 the packages 'nicheROVER' and 'SIBER'. Please see the following publications
 for detailed methods on 'nicheROVER' and 'SIBER' Hansen et al. (2015)
 <doi:10.1890/14-0235.1>, Jackson et al. (2011)
 <doi:10.1111/j.1365-2656.2011.01806.x>, and Layman et al. (2007)
 <doi:10.1890/0012-9658(2007)88[42:CSIRPF]2.0.CO;2>, respectfully.

Package: r-cran-nichevol
Architecture: all
Version: 0.1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1035
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-castor, r-cran-geiger, r-cran-stringr, r-cran-terra
Suggests: r-cran-knitr, r-cran-phytools
Filename: pool/dists/focal/main/r-cran-nichevol_0.1.20-1.ca2004.1_all.deb
Size: 422076
MD5sum: df63b76a8b944cd1a50169aa0d5dd26d
SHA1: 7f7cddd5030bfa0d2c56461d01bec8e8f3d27269
SHA256: 552e2de834de1484aade66e69dd1dc81de899db370c83b0b582af895343a3dd8
SHA512: fa1fa15353fd0af68f3e88b3e53376acbaf875e9fba8df6a98c3de44606a8855f79db0a94f6ceaea68eec7cdbb4773b8c8c10941a962a69fa34968f170aafc7b
Homepage: https://cran.r-project.org/package=nichevol
Description: CRAN Package 'nichevol' (Tools for Ecological Niche Evolution Assessment ConsideringUncertainty)
 A collection of tools that allow users to perform critical steps in the
 process of assessing ecological niche evolution over phylogenies, with
 uncertainty incorporated explicitly in reconstructions. The method proposed
 here for ancestral reconstruction of ecological niches characterizes
 species' niches using a bin-based approach that incorporates uncertainty in
 estimations.  Compared to other existing methods, the approaches presented
 here reduce risk of overestimation of amounts and rates of ecological niche
 evolution. The main analyses include: initial exploration of environmental
 data in occurrence records and accessible areas, preparation of data for
 phylogenetic analyses, executing comparative phylogenetic analyses of
 ecological niches, and plotting for interpretations. Details on the
 theoretical background and methods used can be found in: Owens et al. (2020)
 <doi:10.1002/ece3.6359>, Peterson et al. (1999)
 <doi:10.1126/science.285.5431.1265>, Soberón and Peterson (2005)
 <doi:10.17161/bi.v2i0.4>, Peterson (2011)
 <doi:10.1111/j.1365-2699.2010.02456.x>, Barve et al. (2011)
 <doi:10.1111/ecog.02671>, Machado-Stredel et al. (2021)
 <doi:10.21425/F5FBG48814>, Owens et al. (2013)
 <doi:10.1016/j.ecolmodel.2013.04.011>, Saupe et al. (2018)
 <doi:10.1093/sysbio/syx084>, and Cobos et al. (2021)
 <doi:10.1111/jav.02868>.

Package: r-cran-nifti.io
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nifti.io_1.0.0-1.ca2004.1_all.deb
Size: 389744
MD5sum: 788c0281f54cab8b930e67151be44369
SHA1: 06da0f63f548b13477b4366df33b7b6c3c832c12
SHA256: 51676abcfdbbc77c02211636b98737a913a0bb262ebad596f98615898744671a
SHA512: 4c6b31a172cf5e2dad759d7f4ac18beda83df99d1a31f96c7f69c47219f80aa27ec3bef4eb01a28bd033e8719b33ba19f22d5d8f103a79fe13c5f620881f178c
Homepage: https://cran.r-project.org/package=nifti.io
Description: CRAN Package 'nifti.io' (Read and Write NIfTI Files)
 Tools for reading and writing NIfTI-1.1 (NII) files, including optimized
 voxelwise read/write operations and a simplified method to write dataframes
 to NII.  Specification of the NIfTI-1.1 format can be found here
 <https://nifti.nimh.nih.gov/nifti-1>.  Scientific publication first using
 these tools Koscik TR, Man V, Jahn A, Lee CH, Cunningham WA (2020)
 <doi:10.1016/j.neuroimage.2020.116764> "Decomposing the neural pathways in a
 simple, value-based choice." Neuroimage, 214, 116764.

Package: r-cran-nifti.pbcor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-oro.nifti
Filename: pool/dists/focal/main/r-cran-nifti.pbcor_1.0-1.ca2004.1_all.deb
Size: 57228
MD5sum: 97847e73b7c720af5305760430d2ee99
SHA1: f676c1ace03b416efd5e7aa6c5d771ff060bc66d
SHA256: 390f880554989db9421507c1fab965d9d520b6f7e4bac11a6e53d4609900e21e
SHA512: d370b48f1e2e1f0985c643cdd3f95bc0a517c243f61d2e35fe8b3a8d3cd68e470f0fc2c1ab9187eb02ece27bf3e1b87a6e0505bcf2fa88ddff7c9752cdbad331
Homepage: https://cran.r-project.org/package=nifti.pbcor
Description: CRAN Package 'nifti.pbcor' (Parcel-Based Correlation Between NIfTI Images)
 Estimate the correlation between two NIfTI images across random
 parcellations of the images (Fortea et al., under review). This approach
 overcomes the problems of both voxel-based correlations (neighbor voxels may
 be spatially dependent) and atlas-based correlations (the correlation may
 depend on the atlas used).

Package: r-cran-nightday
Architecture: all
Version: 1.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maps
Filename: pool/dists/focal/main/r-cran-nightday_1.0.1.1-1.ca2004.1_all.deb
Size: 21936
MD5sum: 59529c589efd398b1227c5f96aeac337
SHA1: 2071ffc6580cfd5b139481430616e102cd046607
SHA256: fbda78f79edbbcba147ee5e50ae4fed03aec403042c7a764d00e7b8fca91054d
SHA512: 455d19ce194ded6c82ef400160a73128057aa1b8bd9d26e81b656715acd2733209d582aeba71931f5944f3b513d33e8fb72d69d4f82b65288dc05b6efe69bde3
Homepage: https://cran.r-project.org/package=NightDay
Description: CRAN Package 'NightDay' (Night and Day Boundary Plot Function)
 Computes and plots the boundary between night and day.

Package: r-cran-nightmares
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7072
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-rgdal
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nightmares_0.0.2-1.ca2004.1_all.deb
Size: 1812920
MD5sum: 56877c37db2aa5c655833a45b8cdf106
SHA1: a7acdeaf111873f6662033cce39f5b163ecb65d9
SHA256: 66a61dcb078925aa11ff5cff5407bba5dd8e6debcb6edd78221dede2e4bb0fa5
SHA512: cd456fc504f8045262103c05801351ffa3df5492df2bcf09ebbd144ae8331b26a72eeefb4cc1f0d7df8bb10802063ba23baa8739b087d18e86e3583f2702de83
Homepage: https://cran.r-project.org/package=nightmares
Description: CRAN Package 'nightmares' (Common Analysis with Remote Sensing Data)
 A collection of functions used in remote sensing analysis (e.g., conversion
 from digital numbers to radiance, reflectance, and temperature). It includes
 several algorithms to calculate the albedo: Liang (2000)
 <doi:10.1016/S0034-4257(00)00205-4>, Silva et al. (2016)
 <doi:10.32614/RJ-2016-051>, Tasumi et al. (2008)
 <doi:10.1061/(ASCE)1084-0699(2008)13:2(51)>, among others; and include
 functions to derive several spectral indices. Although the current version
 implements basic functions, it will be expandable to a more robust tool for
 water cycle modeling (e.g., to include surface runoff and evapotranspiration
 calculations) in the near future.  This package is under development at the
 Institute about Natural Resources Research (INIRENA) from the Universidad
 Michoacana de San Nicolas de Hidalgo.

Package: r-cran-nilde
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-lpsolve, r-cran-tsp
Filename: pool/dists/focal/main/r-cran-nilde_1.1-7-1.ca2004.1_all.deb
Size: 97936
MD5sum: e6c4b9f181587480ed6803e9d2467eee
SHA1: 49b4ced5a7058de1febdd44f3445c0babdc2cc27
SHA256: 6f5aaa16036dda5c45c967f6b91bf47bc567ac7745ce3fb461d6f7636e337c64
SHA512: 0fb839a1fdc54846b551d202c32e23ebea6ab21f2df89f7d219c0652035ff28f8d5e67952cd55ae95de2240b15f4646c5bc9e96a046535713ab2a57b344a765d
Homepage: https://cran.r-project.org/package=nilde
Description: CRAN Package 'nilde' (Nonnegative Integer Solutions of Linear Diophantine Equationswith Applications)
 Routines for enumerating all existing nonnegative integer solutions of a
 linear Diophantine equation. The package provides routines for solving 0-1,
 bounded and unbounded knapsack problems; 0-1, bounded and unbounded subset
 sum problems; additive partitioning of natural numbers; and one-dimensional
 bin-packing problem.

Package: r-cran-niledam
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 723
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-nleqslv, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes, r-cran-thematic, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-niledam_0.4-1.ca2004.1_all.deb
Size: 539424
MD5sum: 3e6e655ea8969d89268c11df207a429d
SHA1: 48fce3989f094c18e282394e02e0f31313490786
SHA256: 32c6361d0bcc725b76e2e905954a575d12db4006f1077c32401e0055c145d0c5
SHA512: a6827280c37a573ee36712cb72c9ac8fa42cbc5fd7a770b67fd8f714b299ed1386213cd219f62a79eee44d5008299fe63361bc63dafa2ca5f2fe8bb0a953ee9f
Homepage: https://cran.r-project.org/package=NiLeDAM
Description: CRAN Package 'NiLeDAM' (Monazite Dating for the NiLeDAM Team)
 Th-U-Pb electron microprobe age dating of monazite, as originally described
 in <doi:10.1016/0009-2541(96)00024-1>.

Package: r-cran-nima
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-ggplot2, r-cran-ggthemes, r-cran-scales, r-cran-gtools, r-cran-dplyr, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-roxygen2, r-cran-testthat, r-cran-tibble, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-nima_0.6.2-1.ca2004.1_all.deb
Size: 61512
MD5sum: 377a2e8329d7fb90eb4eb153919d41b7
SHA1: 38a0571dc0469e113d7758e51c9ef18fdb719a7f
SHA256: 9bf5a7d1c161420bfe5757284b8c3924ea072ee8f74b86b1d88ac571e455826a
SHA512: 6b54e0114323e992b997c05070428a75632514405543caceec7aea37e13ea175b7650a81dce907b86961dacf72485cb9c7d4f3f421fac0ffd520f1d9d03f28a9
Homepage: https://cran.r-project.org/package=nima
Description: CRAN Package 'nima' (Nima Hejazi's R Toolbox)
 Miscellaneous R functions developed as collateral damage over the course of
 work in statistical and scientific computing for research. These include,
 for example, utilities that supplement existing idiosyncrasies of the R
 language, extend existing plotting functionality and aesthetics, help
 prepare data objects for imputation, and extend access to command line tools
 and systems-level information.

Package: r-cran-nimaa
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-tidyr, r-cran-bipartite, r-cran-crayon, r-cran-dplyr, r-cran-ggplot2, r-cran-igraph, r-cran-purrr, r-cran-skimr, r-cran-bnstruct, r-cran-rcolorbrewer, r-cran-fpc, r-cran-mice, r-cran-missmda, r-cran-networkd3, r-cran-scales, r-cran-softimpute, r-cran-tibble, r-cran-tidytext, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-htmltools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nimaa_0.2.1-1.ca2004.1_all.deb
Size: 2336008
MD5sum: 9ce5448365caf54e1a383a5d9848fd1f
SHA1: 5d8a508bafa82f9ebb978ceb729cfe803fccdfdb
SHA256: e656db8422c41291d764c3b69142d2c26cd510f0131857c2880e9ce40abda979
SHA512: 948c44ede7ac62c7e8fb21f2ad19209502fc5221c73bcc72d52dd2f8c1e32551dd583c3d592204c8125048ac6fcf617476262bcefd2d755663c62eae2fea84ef
Homepage: https://cran.r-project.org/package=NIMAA
Description: CRAN Package 'NIMAA' (Nominal Data Mining Analysis)
 Functions for nominal data mining based on bipartite graphs, which build a
 pipeline for analysis and missing values imputation. Methods are mainly from
 the paper: Jafari, Mohieddin, et al. (2021) <doi:10.1101/2021.03.18.436040>,
 some new ones are also included.

Package: r-cran-nimbleapt
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-coda
Filename: pool/dists/focal/main/r-cran-nimbleapt_1.0.7-1.ca2004.1_all.deb
Size: 713424
MD5sum: f4497a0387a8a2e512ed181b05323d1b
SHA1: 797fbbe22942502982818fd5a2512088e4cd927a
SHA256: 501742f06eede06d4250de4f5f29d17670a8203935535631d6e4c2202a584cd1
SHA512: c11bd98bab90fa3de97111e136e6ae99d1df58c21422b74b96800358eb17d5f3aa4d3cd62005cf82df01688a0f4a3fd32af747613d5452d146ef37cf9a641da0
Homepage: https://cran.r-project.org/package=nimbleAPT
Description: CRAN Package 'nimbleAPT' (Adaptive Parallel Tempering for 'NIMBLE')
 Functions for adaptive parallel tempering (APT) with NIMBLE models. Adapted
 from 'Lacki' & 'Miasojedow' (2016) <DOI:10.1007/s11222-015-9579-0> and
 'Miasojedow, Moulines and Vihola' (2013) <DOI:10.1080/10618600.2013.778779>.

Package: r-cran-nimblecarbon
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1069
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nimble, r-cran-rcarbon, r-cran-snow, r-cran-dosnow, r-cran-foreach, r-cran-coda
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nimblecarbon_0.2.5-1.ca2004.1_all.deb
Size: 744772
MD5sum: f5baa57a0ac6b275e2b5d0c21f3109c9
SHA1: a50ac4495ee3f5b5e88db1fb59899432edfcf27b
SHA256: f9c7382addd9d4b7b80f5f4f71215ddb4e5220dd4e30c76880985ad0cefed694
SHA512: 932ed3a5e8868902f1664523afabdbdac3a1e8bf53321ec0ffa3f0370babf87ea3edc9603dc331cf247c1b5aec3007ecfc7ba0dfe97d00f397ecdb9ae66ebd56
Homepage: https://cran.r-project.org/package=nimbleCarbon
Description: CRAN Package 'nimbleCarbon' (Bayesian Analyses of Radiocarbon Dates with NIMBLE)
 Provides utility functions and custom probability distribution for Bayesian
 analyses of radiocarbon dates within the 'nimble' modelling framework.  It
 includes various population growth models, nimbleFunction objects, as well
 as a suite of functions for prior and posterior predictive checks for
 demographic inference (Crema and Shoda (2021)
 <doi:10.1371/journal.pone.0251695>) and other analyses.

Package: r-cran-nimbleecology
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nimbleecology_0.5.0-1.ca2004.1_all.deb
Size: 787444
MD5sum: 9b483fdb551d198303c061976dfafbc4
SHA1: 0c6cacb0e472b972e186fa6ad8b5ce289eac3c32
SHA256: 0e834aa6789eec46d9ee40b6e2795f6fb82b9c900c4d84e571dd9214197cf252
SHA512: 9d45502d48822290af357a34ef92c7dd977c8c83bcb94e0cb81ca8b013efa60263db537a8dee4bce0b0c2ddfd00f923b8a21cec975f294eba4e2a70793dbd39a
Homepage: https://cran.r-project.org/package=nimbleEcology
Description: CRAN Package 'nimbleEcology' (Distributions for Ecological Models in 'nimble')
 Common ecological distributions for 'nimble' models in the form of
 nimbleFunction objects.  Includes Cormack-Jolly-Seber, occupancy, dynamic
 occupancy, hidden Markov, dynamic hidden Markov, and N-mixture models.
 (Jolly (1965) <DOI: 10.2307/2333826>, Seber (1965) <DOI: 10.2307/2333827>,
 Turek et al. (2016) <doi:10.1007/s10651-016-0353-z>).

Package: r-cran-nimblehmc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 793
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nimblehmc_0.2.3-1.ca2004.1_all.deb
Size: 707304
MD5sum: 59c46976c9ca7ebec583c81c2f53d78d
SHA1: 482e826cf4074f6b0a9d6b8df5bf1951f8982fc7
SHA256: 30f85e7feddb1d7d8dde6f5aebfdab26899bbdfdc98851f8a455019406a6d2e3
SHA512: 7f47c161010e708d0fed67bd1416fafd8c5d0094ef40e17ece9a61ab180ec4c89d2e248c460c15710ec444a735c45510677b8096103ca68a6bce9e952d7fa1c7
Homepage: https://cran.r-project.org/package=nimbleHMC
Description: CRAN Package 'nimbleHMC' (Hamiltonian Monte Carlo and Other Gradient-Based MCMC SamplingAlgorithms for 'nimble')
 Provides gradient-based MCMC sampling algorithms for use with the MCMC
 engine provided by the 'nimble' package.  This includes two versions of
 Hamiltonian Monte Carlo (HMC) No-U-Turn (NUTS) sampling, and (under
 development) Langevin samplers.  The `NUTS_classic` sampler implements the
 original HMC-NUTS algorithm as described in Hoffman and Gelman (2014)
 <doi:10.48550/arXiv.1111.4246>.  The `NUTS` sampler is a modern version of
 HMC-NUTS sampling matching the HMC sampler available in version 2.32.2 of
 Stan (Stan Development Team, 2023). In addition, convenience functions are
 provided for generating and modifying MCMC configuration objects which
 employ HMC sampling.

Package: r-cran-nimblemacros
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-reformulas
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nimblemacros_0.1.1-1.ca2004.1_all.deb
Size: 326184
MD5sum: 16a7115ce200b997a0e4a7e13ef89013
SHA1: 5d37b5b5717b1dab3c31c2f894a64f3f2c058137
SHA256: 03b1029d4e084bb15339a7c3fedebd55b6d245c17e747a12000f2313b37bda3d
SHA512: 045f8073730aa21250adee2de800ecbb4143584a392f9c8f698adcc2d3451dd3c442eec8347c7b0545d557e67e04126dc84f0324aef2cb74650af20f6056ed65
Homepage: https://cran.r-project.org/package=nimbleMacros
Description: CRAN Package 'nimbleMacros' (Macros Generating 'nimble' Code)
 Macros to generate 'nimble' code from a concise syntax. Included are macros
 for generating linear modeling code using a formula-based syntax and for
 building for() loops. For more details review the 'nimble' manual:
 <https://r-nimble.org/html_manual/cha-writing-models.html#subsec:macros>.

Package: r-cran-nimblenobounds
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-coda
Filename: pool/dists/focal/main/r-cran-nimblenobounds_1.0.3-1.ca2004.1_all.deb
Size: 269992
MD5sum: 5c9842f35e3128467331f8e088d2debc
SHA1: e33bda94abfc4a70bacb024cc00d4281c3932340
SHA256: 98a4656041aa97e7eb63218327882380097d9e4a58d0ca2db6f38a1239c0e938
SHA512: 90254c99b3c208170495ee557b3756e4346564151054f07256cef79ccd1f2d66cd97b1623d287604aab17bbc4df3d25dd2f2f05e90a10c066ae06419a3afc3f7
Homepage: https://cran.r-project.org/package=nimbleNoBounds
Description: CRAN Package 'nimbleNoBounds' (Transformed Distributions for Improved MCMC Efficiency)
 A collection of common univariate bounded probability distributions
 transformed to the unbounded real line, for the purpose of increased MCMC
 efficiency.

Package: r-cran-nimblescr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6892
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nimble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-coda, r-cran-basicmcmcplots
Filename: pool/dists/focal/main/r-cran-nimblescr_0.2.1-1.ca2004.1_all.deb
Size: 5227308
MD5sum: 41f6d1cebd4fa7d57fe6451f21564aa2
SHA1: 62881879375744b8bebf672671e73f0aa62df480
SHA256: 174f68866f46e20e12c0970a4ceb11830f5e0498223d1af294a3a8a883a7e160
SHA512: a17ef913726929ac26ff2352220f788ab079f542d33f32c27f648c2238c783bda743ddd7e7e3a6275e72b7444ffc7a79416993072d2ee2c6796dda2b6291021b
Homepage: https://cran.r-project.org/package=nimbleSCR
Description: CRAN Package 'nimbleSCR' (Spatial Capture-Recapture (SCR) Methods Using 'nimble')
 Provides utility functions, distributions, and fitting methods for Bayesian
 Spatial Capture-Recapture (SCR) and Open Population Spatial
 Capture-Recapture (OPSCR) modelling using the nimble package (de Valpine et
 al. 2017 <doi:10.1080/10618600.2016.1172487 >). Development of the package
 was motivated primarily by the need for flexible and efficient analysis of
 large-scale SCR data (Bischof et al. 2020 <doi:10.1073/pnas.2011383117 >).
 Computational methods and techniques implemented in nimbleSCR include those
 discussed in Turek et al. 2021 <doi:10.1002/ecs2.3385>; among others. For a
 recent application of nimbleSCR, see Milleret et al. (2021)
 <doi:10.1098/rsbl.2021.0128>.

Package: r-cran-nimblesmc
Architecture: all
Version: 0.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1277
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nimblesmc_0.11.1-1.ca2004.1_all.deb
Size: 1089536
MD5sum: a0905e173677eaf961454fa7ae60b182
SHA1: ca3e542f54b7daeb08ab94a42240139136a807a8
SHA256: 50a1b40ff569c0f8a15adc20e9047a102c73c4026067c913c737a262a6d3f87a
SHA512: e3c11bc292580f59a510473093995146296c056aabef8404ccd6590d09bc4a331f619cc5412031322fb2fe50cc3568bafe03528229737fc0a7b81eb0f648b2b6
Homepage: https://cran.r-project.org/package=nimbleSMC
Description: CRAN Package 'nimbleSMC' (Sequential Monte Carlo Methods for 'nimble')
 Includes five particle filtering algorithms for use with state space models
 in the 'nimble' system: 'Auxiliary', 'Bootstrap', 'Ensemble Kalman filter',
 'Iterated Filtering 2', and 'Liu-West', as described in Michaud et al.
 (2021), <doi:10.18637/jss.v100.i03>. A full User Manual is available at
 <https://r-nimble.org>.

Package: r-cran-nimblewomble
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-ggplot2, r-cran-mba, r-cran-metr, r-cran-ggspatial, r-cran-sf, r-cran-terra, r-cran-sp, r-cran-coda
Filename: pool/dists/focal/main/r-cran-nimblewomble_0.1.0-1.ca2004.1_all.deb
Size: 334532
MD5sum: c7bb370494340dea2ef33acd52681f38
SHA1: fdcf424a0ba040d694376805717a8e8d2e7d043c
SHA256: 372bf169d88df4da0de8df4aa094a725049ce300cf3ebdc7f3d22392d544ab2f
SHA512: 31b12b4d5e10536639c09bc6ba958eff5f0d5511f16cf58b5719b99cc7ba0020f5e7e460dd10fc0b47f42ace229e91b94138f9716c9e3cc4d233dd69755abdde
Homepage: https://cran.r-project.org/package=nimblewomble
Description: CRAN Package 'nimblewomble' (Bayesian Wombling using 'nimble')
 A software package to perform Wombling, or boundary analysis, using the
 'nimble' Bayesian hierarchical modeling environment. Wombling is used widely
 to track regions of rapid change within the spatial reference domain.
 Specific functions in the package implement Gaussian process models for
 point-referenced spatial data followed by predictive inference on rates of
 change over curves using line integrals. We demonstrate model based Bayesian
 inference using posterior distributions featuring simple analytic forms
 while offering uncertainty quantification over curves. For more details on
 wombling please see, Banerjee and Gelfand (2006)
 <doi:10.1198/016214506000000041> and Halder, Banerjee and Dey (2024)
 <doi:10.1080/01621459.2023.2177166>.

Package: r-cran-nipals
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nipals_1.0-1.ca2004.1_all.deb
Size: 84628
MD5sum: 67830148f008b7d390b2325691985b3b
SHA1: b474d213cac26c37ff75ea64bbbb41c2336ee754
SHA256: 707c13aac76d90af577cde36322757c06666cad30e8161caa304d385e8d930cf
SHA512: 49abcba6adb064aaa074600397b43a4f25aa7415a89dc1729e47a3866944b12b64c03e4b5701beacd367c408acfe7d1e0dcc7db58ac1523cd1e8c561a0f6f358
Homepage: https://cran.r-project.org/package=nipals
Description: CRAN Package 'nipals' (Principal Components Analysis using NIPALS or Weighted EMPCA,with Gram-Schmidt Orthogonalization)
 Principal Components Analysis of a matrix using Non-linear Iterative Partial
 Least Squares or weighted Expectation Maximization PCA with Gram-Schmidt
 orthogonalization of the scores and loadings.  Optimized for speed. See
 Andrecut (2009) <doi:10.1089/cmb.2008.0221>.

Package: r-cran-nipntk
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2828
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tufte, r-cran-spelling, r-cran-covr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-nipntk_0.2.0-1.ca2004.1_all.deb
Size: 2501068
MD5sum: cd4c9c36974335188aff446beb91438c
SHA1: 59e1e74f9219d992cf1530acb0d82c9223dd53be
SHA256: cd0b95679965e7a602e87e80c97d9a4f392779d4708d8da5143584a9078c2cdb
SHA512: f7afbbc07ce7d4950ec6975a216033cc173e008eeee5af7054dba97cd657915dd48a4e3f5b780c6a4c150258a20a5401fce422a2786b546b1702f58c9ada49ea
Homepage: https://cran.r-project.org/package=nipnTK
Description: CRAN Package 'nipnTK' (National Information Platforms for Nutrition Anthropometric DataToolkit)
 An implementation of the National Information Platforms for Nutrition or
 NiPN's analytic methods for assessing quality of anthropometric datasets
 that include measurements of weight, height or length, middle upper arm
 circumference, sex and age. The focus is on anthropometric status but many
 of the presented methods could be applied to other variables.

Package: r-cran-nipponmap
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-tibble
Suggests: r-cran-rcolorbrewer, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-nipponmap_0.2-1.ca2004.1_all.deb
Size: 35880
MD5sum: ead391a742bc45e165ec32e4449420d5
SHA1: afdf44c9edbbe57f666a9951d1a7c93e46dddc93
SHA256: e8e92822f3586727582b1ec7a14b58cdefbee2826352011ddb8e2490e2ec0002
SHA512: 668503351a20db517d270a7dc43a3145bb7f58ebc37bdabf093d7bedc7ef2095d67eeab057401f3618fb00cd4f95e3d30a20dd801ddf305baffca021145e8e7b
Homepage: https://cran.r-project.org/package=NipponMap
Description: CRAN Package 'NipponMap' (Japanese Map Data and Functions)
 Digital map data of Japan for choropleth mapping, including a circle
 cartogram.

Package: r-cran-nipter
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2641
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-rsamtools, r-cran-sets, r-bioc-s4vectors
Suggests: r-cran-knitr, r-cran-pander
Filename: pool/dists/focal/main/r-cran-nipter_1.0.2-1.ca2004.1_all.deb
Size: 1870932
MD5sum: 94ca4fe8f6e85acebbdb446a546a0833
SHA1: ade64233c303b2408241bfdc111b02f93c0ce7d2
SHA256: 0a398a3e7010e7f1e2c794305d080be94ddb8162c3ee1e2c06c923b181f31979
SHA512: f7f2736e933e1b024c97a050618e1d0c9ec38c4c8733e2eefcab4add3cd48bc193028ab69beadc5d630218e16df1e211874e2d16f0a5c4f5ff671e960f2c4bec
Homepage: https://cran.r-project.org/package=NIPTeR
Description: CRAN Package 'NIPTeR' (Fast and Accurate Trisomy Prediction in Non-Invasive PrenatalTesting)
 Fast and Accurate Trisomy Prediction in Non-Invasive Prenatal Testing.

Package: r-cran-nirstat
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mgcv, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-nirstat_1.1-1.ca2004.1_all.deb
Size: 44988
MD5sum: 6c5eb6c929c1da04e32d1de15b852f92
SHA1: 7a275bcced223997d8d73991742877ab83a80cff
SHA256: 2afe8726df59bfc97ba9441c61dc6d80839c68b04ab593a867756db31e887d2e
SHA512: b80305b18eb5897047415e6da443efcd11fa950aa1a9a663ddd919710f6ac8454fdc88398e92f106f78263e4a2d5ffd72ea354d719cbb26657b803aad802e66b
Homepage: https://cran.r-project.org/package=NIRStat
Description: CRAN Package 'NIRStat' (Novel Statistical Methods for Studying Near-InfraredSpectroscopy (NIRS) Time Series Data)
 Provides transfusion-related differential tests on Near-infrared
 spectroscopy (NIRS) time series with detection limit, which contains two
 testing statistics: Mean Area Under the Curve (MAUC) and slope statistic.
 This package applied a penalized spline method within imputation setting.
 Testing is conducted by a nested permutation approach within imputation.
 Refer to Guo et al (2018) <doi:10.1177/0962280218786302> for further
 details.

Package: r-cran-nisrarr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cachem, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-lubridate, r-cran-pillar, r-cran-purrr, r-cran-rjstat, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-prettyunits, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-nisrarr_0.1.1-1.ca2004.1_all.deb
Size: 102916
MD5sum: 65e379d7d126acf726acd1ede312c824
SHA1: 1a6a54d50141ecac1625e324dd0cf708194adf14
SHA256: 745ae30242eed6037cb1e6c9b144042ae4ede12af993083ad1ae619086efe673
SHA512: 6b55b2635ab8442959de20bd267884a01b0e33451a9b9d820c24cffd48e2c94215f5ac0a1da70fa32624b827af45c4f7cc690e5d0f428f87212270e0e191ab38
Homepage: https://cran.r-project.org/package=nisrarr
Description: CRAN Package 'nisrarr' (Download Data from the NISRA Data Portal)
 Download data from the Northern Ireland Statistics and Research Agency
 (NISRA) data portal, accessed at <https://data.nisra.gov.uk>. NISRA is a
 government agency and the principal source of official statistics and social
 research on Northern Ireland.

Package: r-cran-nistnls
Architecture: all
Version: 0.9-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nistnls_0.9-13-1.ca2004.1_all.deb
Size: 98192
MD5sum: a10ee339c88da3fd6ad03f758015060e
SHA1: 65efde167ac43b32b131293d80eda126d990b9ae
SHA256: de200f4396865608537dfb5c9cd51846621d878d5bdac18dbe074442e3db946f
SHA512: a36f9366fe9af9c6d127bdafad5102de48eacb1457c3f7b6d7e8648088b27f8878ed42f1e6ec20a086f2b316e2d8200000465dc3023e5dd4c35d823d44bb4694
Homepage: https://cran.r-project.org/package=NISTnls
Description: CRAN Package 'NISTnls' (Nonlinear least squares examples from NIST)
 Datasets for testing nonlinear regression routines.

Package: r-cran-nistunits
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2055
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nistunits_1.0.1-1.ca2004.1_all.deb
Size: 1276096
MD5sum: fb1dcd5a9f549235f6cafeab25db6ed9
SHA1: 69da2e1090f315728f214d10cf6d90fa649fd68d
SHA256: fbc2d85ca65b580d56cc455c1e0aa3c06c67fd10b511e301237b1fca6d4dfbc5
SHA512: 58a19140b9c5dc61ff23278865f823b9a1a51ef477fd590d65135a6a5365edfc04214079c3e917d2feb4d7fd4dd6da3e435968e147271c6f7b895d4680de29da
Homepage: https://cran.r-project.org/package=NISTunits
Description: CRAN Package 'NISTunits' (Fundamental Physical Constants and Unit Conversions from NIST)
 Fundamental physical constants (Quantity, Value, Uncertainty, Unit) for SI
 (International System of Units) and non-SI units, plus unit conversions
 Based on the data from NIST (National Institute of Standards and Technology,
 USA)

Package: r-cran-nitpicker
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fdasrvf, r-cran-fda, r-cran-fda.usc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nitpicker_1.0.1-1.ca2004.1_all.deb
Size: 59212
MD5sum: 4b6330fcea715814341fc0b3e6b8986c
SHA1: 8e54b4d61dabdea2bf1e07a8e608af3ce9e11424
SHA256: 8e57c4b11b40a541013e3b480c57776dc3aa19b2cebdbb186c5229e000099909
SHA512: 9872a789f8e01abff630b2855d8fee237f8d3f5edac9b619a76f21d762f9de80e527c33ebbfeba0f7d4338dab965c3fc2e2fd7a65c3c201da5973bc1604daf6b
Homepage: https://cran.r-project.org/package=NITPicker
Description: CRAN Package 'NITPicker' (Finds the Best Subset of Points to Sample)
 Given a few examples of experiments over a time (or spatial) course,
 'NITPicker' selects a subset of points to sample in follow-up experiments,
 which would (i) best distinguish between the experimental conditions and the
 control condition (ii) best distinguish between two models of how the
 experimental condition might differ from the control (iii) a combination of
 the two. Ezer and Keir (2018) <doi:10.1101/301796>.

Package: r-cran-nitrcbot
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-rcurl, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nitrcbot_1.2-1.ca2004.1_all.deb
Size: 55780
MD5sum: 2b889ac5d429dfb9c5e4d92023d7b768
SHA1: 246f5ea4f2ae9fbc4389c4c36fc16812c5c62dc8
SHA256: 0b0323c2502910005a0d52e03de4d8a67e3489f4ef7f05b36b51f93e1358a01c
SHA512: d23fd315bb835360d50d5dc6d5e99b19f278ee01f6305aafc4a44ab7e0fa15c95c2b11a8b773471174a4fd67efcf12418a4a71ddefc63aec2a5ed047ce15e019
Homepage: https://cran.r-project.org/package=nitrcbot
Description: CRAN Package 'nitrcbot' (Download Image Files from the 'NeuroImaging Tools and ResourcesCollaboratory')
 Parses and downloads images from various 'NeuroImaging Tools and Resources
 Collaboratory' <https://www.nitrc.org> sets.

Package: r-cran-nitrogenuptake2016
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1477
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-car, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plyr, r-cran-reshape2, r-cran-ggplot2, r-cran-scales, r-cran-mumin, r-cran-rsq
Filename: pool/dists/focal/main/r-cran-nitrogenuptake2016_0.2.3-1.ca2004.1_all.deb
Size: 820572
MD5sum: e7ffae17e621ddaa695fd2319e1e00da
SHA1: 57810f4b3f3da01bd49eead1e5ea621fa4fa7fe7
SHA256: dbb5e4ed75ee6eb43a0c53667911b2b5f995a7dc004d8e3f78a2e7977246051d
SHA512: cfb008952ddef29b9e16ac9674297d706b5fcacf38a52a71705171b702ae483b5c1c1f1da77c096762d32403407d1102c793f4ad7e1ff2cc14853a345b67c945
Homepage: https://cran.r-project.org/package=NitrogenUptake2016
Description: CRAN Package 'NitrogenUptake2016' (Data and Source Code From: Nitrogen Uptake and AllocationEstimates for Spartina Alterniflora and Distichlis Spicata)
 Contains data, code, and figures from Hill et al. 2018a (Journal of
 Experimental Marine Biology and Ecology; <DOI: 10.1016/j.jembe.2018.07.006>)
 and Hill et al. 2018b (Data In Brief <DOI: 10.1016/j.dib.2018.09.133>).
 Datasets document plant allometry, stem heights, nutrient and stable isotope
 content, and sediment denitrification enzyme assays. The data and analysis
 offer an examination of nitrogen uptake and allocation in two salt marsh
 plant species.

Package: r-cran-nivm
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bpcp, r-cran-ssanv
Filename: pool/dists/focal/main/r-cran-nivm_0.5-1.ca2004.1_all.deb
Size: 100120
MD5sum: 05de5390dc31a3f19068d4eab4b48a51
SHA1: d172b853358f93d3bf7a7d83262ec383ed5cec7a
SHA256: b5ea36636af98adcc87d5b8c62c7ef53ea1d429cb2421fd860f8741da3ce0984
SHA512: 786a9b98b67dabf14cf7e3e4a1d073175c955381977944a16383237f0b0152502d2eb70e1ff31c232389d6ca0bc8309487c5cae7d3097f5a6ec7130fccc28bd9
Homepage: https://cran.r-project.org/package=nivm
Description: CRAN Package 'nivm' (Noninferiority Tests with Variable Margins)
 Noninferiority tests for difference in failure rates at a prespecified
 control rate or prespecified time. For details, see Fay and Follmann, 2016
 <DOI:10.1177/1740774516654861>.

Package: r-cran-nixmass
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-colorspace, r-cran-dplyr, r-cran-lubridate, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nixmass_1.3.1-1.ca2004.1_all.deb
Size: 123340
MD5sum: d1aec8d3f3e699073669983ddd93752e
SHA1: b908845a6d4a723bfc9b2ea4adb12a0d1706a93f
SHA256: 06dee836202bbea0b969d01179e786e937dc8b1fddf69d3502587027741eb548
SHA512: 19972ceee88dfecd584a3655343dbe73f9f9f6163f31ac8c5542f66e178dd777d84bc0c6372e465c45d99718f913c8a1e79360cd08c9e7acdc8bb879813126f9
Homepage: https://cran.r-project.org/package=nixmass
Description: CRAN Package 'nixmass' (Snow Water Equivalent Modeling with the 'Delta.snow' and'HS2SWE' Models and Empirical Regression Models)
 Snow water equivalent is modeled with the process based models 'delta.snow'
 and 'HS2SWE' and empirical regression, which use relationships between
 density and diverse at-site parameters. The methods are described in Winkler
 et al. (2021) <doi:10.5194/hess-25-1165-2021>, Magnusson et al. (2025)
 <doi:10.1016/j.coldregions.2025.104435>, Guyennon et al. (2019)
 <doi:10.1016/j.coldregions.2019.102859>, Pistocchi (2016)
 <doi:10.1016/j.ejrh.2016.03.004>, Jonas et al. (2009)
 <doi:10.1016/j.jhydrol.2009.09.021> and Sturm et al. (2010)
 <doi:10.1175/2010JHM1202.1>.

Package: r-cran-nixtlar
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-httr2, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-nixtlar_0.6.2-1.ca2004.1_all.deb
Size: 2661004
MD5sum: 031ed0a1837c2b94c246866591b883f2
SHA1: 93a896b795b1be2cb5dbf6dc91c8050674217411
SHA256: 0e0990483eafd1dbd0a8525e999415245de6259d58e4a27af76916d1deca732d
SHA512: b26e3ba4d7185cc291291e5b87965b13eb3e073e9da6c713d04d107958be2f6b32faf2c3a6e6def02be2a2f67b09a906a31a1d05ea00a060aa9c38d504810377
Homepage: https://cran.r-project.org/package=nixtlar
Description: CRAN Package 'nixtlar' (A Software Development Kit for 'Nixtla''s 'TimeGPT')
 A Software Development Kit for working with 'Nixtla''s 'TimeGPT', a
 foundation model for time series forecasting. 'API' is an acronym for
 'application programming interface'; this package allows users to interact
 with 'TimeGPT' via the 'API'. You can set and validate 'API' keys and
 generate forecasts via 'API' calls. It is compatible with 'tsibble' and base
 R. For more details visit <https://docs.nixtla.io/>.

Package: r-cran-njgeo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-njgeo_0.1.0-1.ca2004.1_all.deb
Size: 87200
MD5sum: fa2442cc7bcce5dd1fa3b6fe58837d74
SHA1: bcb2443e029bbbd2faadf08dc3760f4058f87fd5
SHA256: 118e4a66f9c317cfac0015e480a4002ae95b2ff84691da2ba195d47b6b76b443
SHA512: f27bee784347c751b6bc5c85e7f791f5ff030b9bdde84f6254d056b9e4bf69f49a93f54b4340dbd459d3380beef2c25c33138122d7f349a1a3e17c562fa168b2
Homepage: https://cran.r-project.org/package=njgeo
Description: CRAN Package 'njgeo' (Tools for Geocoding Addresses in New Jersey using the 'NJOGIS'API)
 Provides an R interface to free geocoding REST APIs maintained by the New
 Jersey Office of GIS
 <https://njgin.nj.gov/njgin/edata/geocoding/index.html#!/> and commonly used
 shapefiles.

Package: r-cran-njira
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rjson, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-njira_0.1.1-1.ca2004.1_all.deb
Size: 68684
MD5sum: f26a99d8619048a8c571df97c997e6e7
SHA1: d4a4693234fa6db746a8d34f735d4440b0b2a015
SHA256: 70e88efa12833f524fef7636ef9b241e79900cae15abe574e72d199c31b1a3b5
SHA512: 70a950cf78ae59888c9806484eeee1f25775c9126700364fa1430e2ff31917e205a69601435f468154f7e0586b4b5f7cf8843cb76b375e74de4c2b109b46dd9f
Homepage: https://cran.r-project.org/package=nJira
Description: CRAN Package 'nJira' (SQL Like Query Interface for 'Jira')
 SQL like query interface to fetch data from any 'Jira' installation. The
 data is fetched using 'Jira' REST API, which can be found at the following
 URL: <https://developer.atlassian.com/cloud/jira/platform/rest/v2>.

Package: r-cran-njtr1
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 882
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-httr, r-cran-curl, r-cran-readr, r-cran-dplyr, r-cran-stringr, r-cran-stringi, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-njtr1_0.3.2-1.ca2004.1_all.deb
Size: 811456
MD5sum: 663ae16b008cc33a9fad335b8dcbda33
SHA1: bb25223d8b3564dae81ca3531ef06c4b3b9c69cd
SHA256: 10eae347f4ef007c6e74aee582a9473cfbccbc69846f69dc1ac7aa191fd11bdc
SHA512: 5f1205ce1ac92f1960f274b486d5626bc53e02438395127416f92e0e2502b42b5c25645b1bfec5d2e92e1b9938b2b1f86a6eb400d1ae4a33eadc0201efd43bf5
Homepage: https://cran.r-project.org/package=njtr1
Description: CRAN Package 'njtr1' (Download, Analyze & Clean New Jersey Car Crash Data)
 Download and analyze motor vehicle crash data released by the New Jersey
 Department of Transportation (NJDOT).  The data in this package is collected
 through the filing of NJTR-1 form by police officers, which provide a
 standardized way of documenting a motor vehicle crash that occurred in New
 Jersey.  3 different data tables containing data on crashes, vehicles &
 pedestrians released from 2001 to the present can be downloaded & cleaned
 using this package.

Package: r-cran-nlar
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1960
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rappdirs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-magrittr, r-cran-skimr, r-cran-sf, r-cran-maps, r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlar_0.4.1-1.ca2004.1_all.deb
Size: 585164
MD5sum: 68dacc578a15dfb26abdbe34cbf41c38
SHA1: df577d61ece66ce5dd9a76a4878f2836bb1acf6a
SHA256: f141899922df72f4aa56a34534c2a0228101fffa432e5ce2ebbf6e2ad0cd8857
SHA512: 46a6810a918927c0f5c7585b97d78a88046b6dc6498c6a875c18a63d3a4a06933fd159b9efb2fbeae21b93ab5e60b0cc0e1dacc67792455ced693713791fb767
Homepage: https://cran.r-project.org/package=nlaR
Description: CRAN Package 'nlaR' (Interface to the National Lakes Assessment)
 Client for programmatic access to the 2007 and 2012 National Lakes
 Assessment database
 <https://www.epa.gov/national-aquatic-resource-surveys/nla> containing data
 for hundreds of lakes in the lower 48 states of the contiguous US.

Package: r-cran-nlcoptim
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-nlcoptim_0.6-1.ca2004.1_all.deb
Size: 65368
MD5sum: 8b24d1ce6e142dde997daff7ac0194c8
SHA1: 7340fea11d9de2e9c007e06d339e8d4d37e1d841
SHA256: b9581d783497aeb81e1cc1dc73771ae5133efcaeb31a36f0b79276201d30a169
SHA512: ec290f5f5997782a55894f04e5f947e31d2e8235f263ec064b15967cc67e3970ed227672ef5fb79cd1312d801417b85c6ecd9697e3a890c4e0ec93188ba89cca
Homepage: https://cran.r-project.org/package=NlcOptim
Description: CRAN Package 'NlcOptim' (Solve Nonlinear Optimization with Nonlinear Constraints)
 Optimization for nonlinear objective and constraint functions.  Linear or
 nonlinear equality and inequality constraints are allowed.  It accepts the
 input parameters as a constrained matrix.

Package: r-cran-nlcv
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1757
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-a4core, r-bioc-mlinterfaces, r-cran-xtable, r-bioc-limma, r-cran-mass, r-bioc-biobase, r-bioc-multtest, r-cran-rcolorbrewer, r-cran-pamr, r-cran-randomforest, r-cran-rocr, r-cran-ipred, r-cran-e1071, r-cran-kernlab
Suggests: r-cran-runit, r-bioc-all
Filename: pool/dists/focal/main/r-cran-nlcv_0.3.6-1.ca2004.1_all.deb
Size: 1638676
MD5sum: 362b005f7bd93f562030c1ac26a7989a
SHA1: 5b95279fa96ddb032b92cedf7a33c9f40e8d4fcd
SHA256: 4fe3b8f10c83552d87bae3bb6e373882eff023997958ef4131d791dd2b282f73
SHA512: 9285a922b87725b9a28b718a7833c268cbabefaec87928d47c5888625ceba7df79dccdab43244e324442c174b604df1f8965ec65b8acf3382e2d5dbdea131121
Homepage: https://cran.r-project.org/package=nlcv
Description: CRAN Package 'nlcv' (Nested Loop Cross Validation)
 Nested loop cross validation for classification purposes for
 misclassification error rate estimation.  The package supports several
 methodologies for feature selection: random forest, Student t-test, limma,
 and provides an interface to the following classification methods in the
 'MLInterfaces' package: linear, quadratic discriminant analyses, random
 forest, bagging, prediction analysis for microarray, generalized linear
 model, support vector machine (svm and ksvm). Visualizations to assess the
 quality of the classifier are included: plot of the ranks of the features,
 scores plot for a specific classification algorithm and number of features,
 misclassification rate for the different number of features and
 classification algorithms tested and ROC plot.  For further details about
 the methodology, please check: Markus Ruschhaupt, Wolfgang Huber, Annemarie
 Poustka, and Ulrich Mansmann (2004) <doi:10.2202/1544-6115.1078>.

Package: r-cran-nlgm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-nlgm_1.0-1.ca2004.1_all.deb
Size: 26620
MD5sum: 82243d98c45faee6370cfba678180360
SHA1: 2e166600f845ce1c3c38005a7b47d8f8219394ac
SHA256: ce96f744069fa15a57e8c7f6b222656df88f0350560780e9540ff21a6590234e
SHA512: ac9d653bbf3c07b08b4da1ddef6170fc6075c566b278791c3bb6e331b63ca7be1a89c54644792dbb7cdf436bcffd3323ddfb07453177ce39dd885d0045328b5f
Homepage: https://cran.r-project.org/package=nlgm
Description: CRAN Package 'nlgm' (Non Linear Growth Models)
 Six growth models are fitted using non-linear least squares. These are the
 Richards, the 3, 4 and 5 parameter logistic, the Gompetz and the Weibull
 growth models. Reference: Reddy T., Shkedy Z., van Rensburg C. J., Mwambi
 H., Debba P., Zuma K. and Manda, S. (2021). "Short-term real-time prediction
 of total number of reported COVID-19 cases and deaths in South Africa: a
 data driven approach". BMC medical research methodology, 21(1), 1-11.
 <doi:10.1186/s12874-020-01165-x>.

Package: r-cran-nlist
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-chk, r-cran-coda, r-cran-extras, r-cran-generics, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-term, r-cran-tibble, r-cran-universals
Suggests: r-cran-covr, r-cran-knitr, r-cran-mcmcr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlist_0.4.0-1.ca2004.1_all.deb
Size: 220204
MD5sum: be016842cd79f83415763cf6409b66ee
SHA1: a2e3fb45c6f11546d8aaf4fb574ac8ea02529838
SHA256: a04a59a6ecea8a00aec733f69bb28b95a03c9fcf5cdb2b95c5fe740f1ece6ea3
SHA512: 1d1d4477c2b8c3b1674d8f99d06ca15f0813141bfbcc2749afad1c7c37fd81b5dc788bf978a1b9ac8d7da0aeedf1036af66a97d74c4a490beb42e37570b2b8a3
Homepage: https://cran.r-project.org/package=nlist
Description: CRAN Package 'nlist' (Lists of Numeric Atomic Objects)
 Create and manipulate numeric list ('nlist') objects.  An 'nlist' is an S3
 list of uniquely named numeric objects.  An numeric object is an integer or
 double vector, matrix or array.  An 'nlists' object is a S3 class list of
 'nlist' objects with the same names, dimensionalities and typeofs.  Numeric
 list objects are of interest because they are the raw data inputs for
 analytic engines such as 'JAGS', 'STAN' and 'TMB'.  Numeric lists objects,
 which are useful for storing multiple realizations of of simulated data
 sets, can be converted to coda::mcmc and coda::mcmc.list objects.

Package: r-cran-nlive
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-nlraa, r-cran-sqldf, r-cran-ggplot2, r-cran-lcmm, r-cran-saemix, r-cran-rmisc, r-cran-sitar, r-cran-rmpfr, r-cran-knitr, r-cran-fastdummies, r-cran-viridis
Suggests: r-cran-rmarkdown, r-cran-mass, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlive_0.7.0-1.ca2004.1_all.deb
Size: 240256
MD5sum: 1fd29946313816dc96ebf0e46d2d2fc6
SHA1: e59346571eb04b99ccf0946e6985047f9a321483
SHA256: bd3f041072e2d7acf7ed57af40f2123e87b3f8ff4d831302a90dbb674884bbe8
SHA512: 6d95ac7c24499b1953c030bd8da58073abc0d3d4563119922913e3f6a6c904b8e9a0760d4b378bc78dca78f525e53532d4c8913f599e321e2f3ff6b479784da2
Homepage: https://cran.r-project.org/package=nlive
Description: CRAN Package 'nlive' (Automated Estimation of Sigmoidal and Piecewise Linear MixedModels)
 Estimation of relatively complex nonlinear mixed-effects models, including
 the Sigmoidal Mixed Model and the Piecewise Linear Mixed Model with abrupt
 or smooth transition, through a single intuitive line of code and with
 automated generation of starting values.

Package: r-cran-nlmeode
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-nlme, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-nlmeode_1.1-1.ca2004.1_all.deb
Size: 67472
MD5sum: 8e4ab6882fb72c7dc104b41f52887ac3
SHA1: e33133704fec11aecb01e32b5b254ef6c39ee9f1
SHA256: 3b0bdb1ce4da355b3ceece492e86cedb1c697b50fe415cb247ba05a4c379d5c0
SHA512: 417b4e79c2fb1b59bce61643e95422788d6806a6320ed06fd2795d7ec5c9b0eaff777c4a984c0d2acf0ec5bb958ebec420f9d48498a635c1e69db9b022f2abd2
Homepage: https://cran.r-project.org/package=nlmeODE
Description: CRAN Package 'nlmeODE' (Non-linear mixed-effects modelling in nlme using differentialequations)
 This package combines the odesolve and nlme packages for mixed-effects
 modelling using differential equations.

Package: r-cran-nlmeu
Architecture: all
Version: 0.70-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 830
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Suggests: r-cran-reshape, r-cran-wwgbook, r-cran-lattice, r-cran-ellipse, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlmeu_0.70-9-1.ca2004.1_all.deb
Size: 221876
MD5sum: 343fdf87f057144fa42db2fef9be5958
SHA1: 58494c3a0f329d1a36f5ec3911f1b71533a8fdd9
SHA256: 0463e7c00bcde401c7ed4d0a07e4d8ffc78c322d0413a535fdafe769bbc2d3ee
SHA512: 0aec7b97d5428f97701bb77d7e136b3e8d2ecfd12091edc615e66de913d6e512c9e83e808527cd51f6ec0006d5552fab2e8a5b83fc00791ae526925dc2422be7
Homepage: https://cran.r-project.org/package=nlmeU
Description: CRAN Package 'nlmeU' (Datasets and Utility Functions Enhancing Functionality of 'nlme'Package)
 Datasets and utility functions enhancing functionality of nlme package.
 Datasets, functions and scripts are described in book titled 'Linear
 Mixed-Effects Models: A Step-by-Step Approach' by Galecki and Burzykowski
 (2013). Package is under development.

Package: r-cran-nlmixr2
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1593
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlmixr2data, r-cran-nlmixr2est, r-cran-nlmixr2extra, r-cran-rxode2, r-cran-lotri, r-cran-nlmixr2plot, r-cran-magrittr, r-cran-crayon, r-cran-cli
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-devtools, r-cran-ggplot2, r-cran-testthat, r-cran-n1qn1, r-cran-withr
Filename: pool/dists/focal/main/r-cran-nlmixr2_3.0.2-1.ca2004.1_all.deb
Size: 1408504
MD5sum: 3dc1b047f19eed27f0524dd810b61843
SHA1: 757a94a94fcf3698d384b12aea7cf8fef1c89831
SHA256: 6fd609fce6417e3e6de21608992011feeac89d4a12816a447c345150dabd66bd
SHA512: 6daeac92fe2dd7f52e46f0ce93076f93dc84482282e2f8d7d042a698fee43e07281dca5dc70ccc006c28fc1002fb43a5d3c7acd1773de0a7cb00452208c9b9c2
Homepage: https://cran.r-project.org/package=nlmixr2
Description: CRAN Package 'nlmixr2' (Nonlinear Mixed Effects Models in Population PK/PD)
 Fit and compare nonlinear mixed-effects models in differential equations
 with flexible dosing information commonly seen in pharmacokinetics and
 pharmacodynamics (Almquist, Leander, and Jirstrand 2015
 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by
 compiled C code provided in the 'rxode2' package (Wang, Hallow, and James
 2015 <doi:10.1002/psp4.12052>).

Package: r-cran-nlmixr2data
Architecture: all
Version: 2.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 846
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nlmixr2data_2.0.9-1.ca2004.1_all.deb
Size: 780388
MD5sum: c3d52a785b878981be167c79f6a86d08
SHA1: 1dcfce450ea8509d6c4b47970e4ec7003b948632
SHA256: b74664c9b5819199122d90a815237db231d1d7c6aa161c7187faaa1591d637e2
SHA512: 088f263a313198734c20844bb53c3b82f4a037ed923d440fe09bf815b8ea004130a06d6c8d3e9a7c6146f1fe4ab035421df942eb93e68d79ed115a8ee8f21700
Homepage: https://cran.r-project.org/package=nlmixr2data
Description: CRAN Package 'nlmixr2data' (Nonlinear Mixed Effects Models in Population PK/PD, Data)
 Datasets for 'nlmixr2' and 'rxode2'. 'nlmixr2' is used for fitting and
 comparing nonlinear mixed-effects models in differential equations with
 flexible dosing information commonly seen in pharmacokinetics and
 pharmacodynamics (Almquist, Leander, and Jirstrand 2015
 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by
 compiled C code provided in the 'rxode2' package (Wang, Hallow, and James
 2015 <doi:10.1002/psp4.12052>).

Package: r-cran-nlmixr2lib
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-nlmixr2est, r-cran-rxode2
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-nlmixr2lib_0.3.0-1.ca2004.1_all.deb
Size: 232944
MD5sum: 6838fdda820ead33f46684cf9d1e00ae
SHA1: 6fb0673431d12c0c7dcdb022c4f24c772c083bc4
SHA256: 9168ba992c9c5318689d13398976f9726ce001dcd3fbac16a5a8ead56ec4325b
SHA512: 380ded9d9281495c172e4d8ca0c568986bd95d764be460093c0fe2b88f99c8040f0d0db0d8ab0a6ac41169509c3c63c37f7c612ff022ad260228fd7ba0b42462
Homepage: https://cran.r-project.org/package=nlmixr2lib
Description: CRAN Package 'nlmixr2lib' (A Model Library for 'nlmixr2')
 A model library for 'nlmixr2'.  The models include (and plan to include)
 pharmacokinetic, pharmacodynamic, and disease models used in
 pharmacometrics.  Where applicable, references for each model are included
 in the meta-data for each individual model.  The package also includes model
 composition and modification functions to make model updates easier.

Package: r-cran-nlmixr2plot
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-nlmixr2est, r-cran-nlmixr2extra, r-cran-rxode2, r-cran-vpc, r-cran-xgxr
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-withr, r-cran-nlmixr2data
Filename: pool/dists/focal/main/r-cran-nlmixr2plot_3.0.2-1.ca2004.1_all.deb
Size: 216768
MD5sum: 38355264a676c712ce03733965725b13
SHA1: 22339f5102e2f4cc44268353bff832c0fff44ce9
SHA256: 1f1c23e0ccf4fe7090533f98bb62198d2be251452f0ba0f0e4d9ecd382e692b1
SHA512: c9a07a9c565c931b32f62dc28c64f93512dd3cfd2732848c44ae532de8556579ab737a0055fd964e42a83b1dc57aaee6ae993552b7f0254945ae2570b5e7d07a
Homepage: https://cran.r-project.org/package=nlmixr2plot
Description: CRAN Package 'nlmixr2plot' (Nonlinear Mixed Effects Models in Population PK/PD, PlotFunctions)
 Fit and compare nonlinear mixed-effects models in differential equations
 with flexible dosing information commonly seen in pharmacokinetics and
 pharmacodynamics (Almquist, Leander, and Jirstrand 2015
 <doi:10.1007/s10928-015-9409-1>). Differential equation solving is by
 compiled C code provided in the 'rxode2' package (Wang, Hallow, and James
 2015 <doi:10.1002/psp4.12052>). This package is for 'ggplot2' plotting
 methods for 'nlmixr2' objects.

Package: r-cran-nlmixr2rpt
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2660
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-flextable, r-cran-ggforce, r-cran-ggpubr, r-cran-ggplot2, r-cran-stringr, r-cran-nlmixr2, r-cran-nlmixr2extra, r-cran-onbrand, r-cran-rxode2, r-cran-xpose, r-cran-xpose.nlmixr2, r-cran-yaml
Suggests: r-cran-rmarkdown, r-cran-ggpmx, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlmixr2rpt_0.2.0-1.ca2004.1_all.deb
Size: 972192
MD5sum: 7817b5cefcb03dc4473d45e0c0601fab
SHA1: 0fb1ca7dfbe4575a573845c1a486159394f370d9
SHA256: f01f6df6234838384d20e3e06ddf88806b11be81cf4cadc5d5f00628f53c9cf1
SHA512: f044fad19f6c8d5737fa0e15d299a18d9a97cd5c022e7ea5b8a524d7b229de345a8e1111c54dd747016fcd623d7577cf44e26a04f0eefc9ba198277101736997
Homepage: https://cran.r-project.org/package=nlmixr2rpt
Description: CRAN Package 'nlmixr2rpt' (Templated Word and PowerPoint Reporting of 'nlmixr2' FittingResults)
 This allows you to generate reporting workflows around 'nlmixr2' analyses
 with outputs in Word and PowerPoint. You can specify figures, tables and
 report structure in a user-definable 'YAML' file. Also you can use the
 internal functions to access the figures and tables to allow their including
 in other outputs (e.g. R Markdown).

Package: r-cran-nlmrt
Architecture: all
Version: 2016.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 579
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-minpack.lm, r-cran-optimx, r-cran-rvmmin, r-cran-rcgmin, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-nlmrt_2016.3.2-1.ca2004.1_all.deb
Size: 368920
MD5sum: 76d5b6a7980a8f3b773c6574660321ca
SHA1: b236652532de42acae32676a84d27103a635df32
SHA256: 979f1156f9a62dc51f78718306e7c60ebd40b555905d8aae0228f5d62fbb2791
SHA512: 03f6f322b81271b34e082858620889ef7f16f6254f9cf637f16c7ab8bf7963800f02cd8f90f911d77b09a1a291109f90193da8bdf25a444b03bd032d5bf61c4a
Homepage: https://cran.r-project.org/package=nlmrt
Description: CRAN Package 'nlmrt' (Functions for Nonlinear Least Squares Solutions)
 Replacement for nls() tools for working with nonlinear least squares
 problems.  The calling structure is similar to, but much simpler than, that
 of the nls() function. Moreover, where nls() specifically does NOT deal with
 small or zero residual problems, nlmrt is quite happy to solve them. It also
 attempts to be more robust in finding solutions, thereby avoiding 'singular
 gradient' messages that arise in the Gauss-Newton method within nls(). The
 Marquardt-Nash approach in nlmrt generally works more reliably to get a
 solution, though this may be one of a set of possibilities, and may also be
 statistically unsatisfactory.  Added print and summary as of August 28,
 2012.

Package: r-cran-nlms
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-nlms_1.1-1.ca2004.1_all.deb
Size: 25748
MD5sum: cd1b473d818cda108b20147e6387b883
SHA1: 90db132712bb6ae812c8be177a1da7a1a7790906
SHA256: d122f2d4ad6cd96faccf245fcfdc8a04d699ac8f2378edc815a40c2aeb3fa0bc
SHA512: 8eec8512b895b31e390d357879df513b2afefe5a57531e31ad3e7ff787cb063c5b0a19e2db631f688d88afeac5800fbb6ebdff9ef1f871442dfddc5d117f540d
Homepage: https://cran.r-project.org/package=nlMS
Description: CRAN Package 'nlMS' (Non-Linear Model Selection)
 Package to select best model among several linear and nonlinear models. The
 main function uses the gnls() function from the 'nlme' package to fit the
 data to nine regression models, named: "linear", "quadratic", "cubic",
 "logistic", "exponential", "power", "monod", "haldane", "logit".

Package: r-cran-nlnet
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-tsp, r-cran-igraph, r-cran-fdrtool, r-cran-coin, r-cran-earth, r-cran-randomforest, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-nlnet_1.4-1.ca2004.1_all.deb
Size: 83740
MD5sum: a15865b9df39e8d9aa4fe709f1744fb1
SHA1: 8132a804424a7444070d914c958d34b77ceb0b31
SHA256: aa9241dcc0b2f5475466d2f83791af020a1ad2871eabd7f5a934589b4f6da4f2
SHA512: e016e50a972b8f1abc8c63145c627473bb2a0f5a83d0b073df6fd324dfae444efd044c01aa845ae216916be91fc2e8dc12da7684718b5d019767c3f01a11380e
Homepage: https://cran.r-project.org/package=nlnet
Description: CRAN Package 'nlnet' (Nonlinear Network, Clustering, and Variable Selection Based onDCOL)
 It includes four methods: DCOL-based K-profiles clustering, non-linear
 network reconstruction, non-linear hierarchical clustering, and variable
 selection for generalized additive model. References: Tianwei Yu (2018)<DOI:
 10.1002/sam.11381>; Haodong Liu and others (2016)<DOI:
 10.1371/journal.pone.0158247>; Kai Wang and others (2015)<DOI:
 10.1155/2015/918954>; Tianwei Yu and others (2010)<DOI:
 10.1109/TCBB.2010.73>.

Package: r-cran-nlopt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-nlopt_0.1.1-1.ca2004.1_all.deb
Size: 31000
MD5sum: b4da818d0bf0fb5ee48fb4a00fa58a56
SHA1: 685b47584f979ed29a9540d69d6e1b70a2e6aa22
SHA256: 09eea8c4875b85d27442d512881a9aa44b005df8747aade1d7ddfde1c32a60e3
SHA512: b5b009452110bee478733167a343df694f87fb233c8d51afa8fc9569a3f0cf1c258e3d7f7045a2595e70c42e8ca9e7f578692399a898088d8e9eae0b03e4fd9b
Homepage: https://cran.r-project.org/package=nlopt
Description: CRAN Package 'nlopt' (Call Optimization Solvers with .nl Files)
 The purpose of this library is to to call different optimization solvers
 (such as Gonzalez Rodriguez et al. (2022) <doi:10.1007/s10898-022-01229-w>,
 Tawarmalani and Sahinidis (2005) <doi:10.1007/s10107-005-0581-8>, and Byrd
 et al. (2006) <doi:10.1007/0-387-30065-1_4>) to solve problems given by a
 standard nl file.

Package: r-cran-nlp
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nlp_0.3-2-1.ca2004.1_all.deb
Size: 398312
MD5sum: 3f915cfacc5c6206c61978f94660e74b
SHA1: 327d36f6a6af9eac12762e7f8f50bf32e6be864c
SHA256: 41447af6770a565e0dc97dac420325b5332a086e7d739eedb207efab741d1df0
SHA512: e4adb99ddb2981593db9fea11b3b74a1c7dcad5b55797e6b4b18d469133cbc462862663cd3c019a88c27f97d538d98379edcdbf61478264f2187ee749c99f044
Homepage: https://cran.r-project.org/package=NLP
Description: CRAN Package 'NLP' (Natural Language Processing Infrastructure)
 Basic classes and methods for Natural Language Processing.

Package: r-cran-nlpclient
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlp, r-cran-xml2, r-cran-curl
Filename: pool/dists/focal/main/r-cran-nlpclient_1.0-1.ca2004.1_all.deb
Size: 39200
MD5sum: 1f7e3d160273e3aa8bf3dd8848f826aa
SHA1: d4ad3292e1d8ab136c394253a53f8f26f889ffd4
SHA256: e28f43795b788fe2f9f0153a3a4485e26afc96ea9a14e443f143d9a3f82b299f
SHA512: bb9f87f65a7e27f85aba21cd36565ce7d530ad8e9b0e15aab9fdb3220b85a365bbb510c4751b8e79c252c605f452f8fc1940379323afcf7c62415fd49f51c31d
Homepage: https://cran.r-project.org/package=NLPclient
Description: CRAN Package 'NLPclient' (Stanford 'CoreNLP' Annotation Client)
 Stanford 'CoreNLP' annotation client.  Stanford 'CoreNLP'
 <https://stanfordnlp.github.io/CoreNLP/index.html> integrates all NLP tools
 from the Stanford Natural Language Processing Group, including a
 part-of-speech (POS) tagger, a named entity recognizer (NER), a parser, and
 a coreference resolution system, and provides model files for the analysis
 of English. More information can be found in the README.

Package: r-cran-nlpembeds
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-matrix, r-cran-rcppalgos, r-cran-reshape2, r-cran-rsqlite, r-cran-rsvd
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlpembeds_1.0.0-1.ca2004.1_all.deb
Size: 113020
MD5sum: 0a04e24a8b239d861e3f78c88f040743
SHA1: 26acbd3b7f8c060916e937f247ef13c51be62b64
SHA256: 42276d5e651e78ae237892af7f3e22fd324e8f3b01d3fe5cd7394e077e789e7e
SHA512: 96ae3cd3db3b3ef5fec4d1b8f153655262fbe3836da6f99e6b20f3af69a0d231066d47beec9f38149a977bd654dbbf93e522a83b2d23472218ee9c3565c980c5
Homepage: https://cran.r-project.org/package=nlpembeds
Description: CRAN Package 'nlpembeds' (Natural Language Processing Embeddings)
 Provides efficient methods to compute co-occurrence matrices, pointwise
 mutual information (PMI) and singular value decomposition (SVD). In the
 biomedical and clinical settings, one challenge is the huge size of
 databases, e.g. when analyzing data of millions of patients over tens of
 years. To address this, this package provides functions to efficiently
 compute monthly co-occurrence matrices, which is the computational
 bottleneck of the analysis, by using the 'RcppAlgos' package and sparse
 matrices. Furthermore, the functions can be called on 'SQL' databases,
 enabling the computation of co-occurrence matrices of tens of gigabytes of
 data, representing millions of patients over tens of years. Partly based on
 Hong C. (2021) <doi:10.1038/s41746-021-00519-z>.

Package: r-cran-nlpred
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1508
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-superlearner, r-cran-cvauc, r-cran-rocr, r-cran-rdpack, r-cran-bde, r-cran-np, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-prettydoc, r-cran-randomforest, r-cran-ranger, r-cran-xgboost, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-nlpred_1.0.1-1.ca2004.1_all.deb
Size: 1168252
MD5sum: 5836f377f07a7dca94bb8855bea80d77
SHA1: 6f60dc79089eee60243fec81b35d7b4266770d0a
SHA256: 9cdb0c9d0297c4d70c9bc2c7a5517f0426ff4766c89171da250dc4204bbb092d
SHA512: e33c047d0f500c4765971f2b029da400bb16e65d43e0a1fffc8145f3111a2f7929e12c6cc377599b45add19f8842b96947996479c8f26d2005b77f4f0d60f1c9
Homepage: https://cran.r-project.org/package=nlpred
Description: CRAN Package 'nlpred' (Estimators of Non-Linear Cross-Validated Risks Optimized forSmall Samples)
 Methods for obtaining improved estimates of non-linear cross-validated risks
 are obtained using targeted minimum loss-based estimation, estimating
 equations, and one-step estimation (Benkeser, Petersen, van der Laan (2019),
 <doi:10.1080/01621459.2019.1668794>). Cross-validated area under the
 receiver operating characteristics curve (LeDell, Petersen, van der Laan
 (2015), <doi:10.1214/15-EJS1035>) and other metrics are included.

Package: r-cran-nlpsem
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6200
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openmx, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-matrix, r-cran-nnet, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nlpsem_0.3-1.ca2004.1_all.deb
Size: 5418552
MD5sum: 4b14e2bc7bf6d20c5f93fb1d11ce46a4
SHA1: d5fefcaa905f74e8aeb95dc47daddcafe885ff59
SHA256: 39d0a1246d3a766c61645f6a096c1ff31de628608a9c78477aceb49a19e4f1b9
SHA512: c8534f76b30ad0251aa33e7392f0b37baa92b2adc6b21f9e510276829f0bc6f935c869d655a1c30caffb54bf294c6a38e0decde59ad44ef46fa417eb0efe78df
Homepage: https://cran.r-project.org/package=nlpsem
Description: CRAN Package 'nlpsem' (Linear and Nonlinear Longitudinal Process in Structural EquationModeling Framework)
 Provides computational tools for nonlinear longitudinal models, in
 particular the intrinsically nonlinear models, in four scenarios: (1)
 univariate longitudinal processes with growth factors, with or without
 covariates including time-invariant covariates (TICs) and time-varying
 covariates (TVCs); (2) multivariate longitudinal processes that facilitate
 the assessment of correlation or causation between multiple longitudinal
 variables; (3) multiple-group models for scenarios (1) and (2) to evaluate
 differences among manifested groups, and (4) longitudinal mixture models for
 scenarios (1) and (2), with an assumption that trajectories are from
 multiple latent classes. The methods implemented are introduced in Jin Liu
 (2023) <arXiv:2302.03237v2>.

Package: r-cran-nlputils
Architecture: all
Version: 0.0-5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlp, r-cran-snowballc, r-cran-qdap
Filename: pool/dists/focal/main/r-cran-nlputils_0.0-5.1-1.ca2004.1_all.deb
Size: 18560
MD5sum: 264c113f7b4eb3e3ba2d77d6c527599f
SHA1: 582c860bfdcdad91d69551d6491ea07720e0e802
SHA256: 3960aa0edca6b6da0b2022e8c9f8feea836580485edfe6932f09abbff5ccf5c0
SHA512: e2cd6ab4b9abf6e0dc6eec2625f41b016ab83b4fed37a81d78846544a3c5ece1f622549855a92bbded0d0668e62015f75f4552a8bd09ba6337a3be3f73685c7b
Homepage: https://cran.r-project.org/package=NLPutils
Description: CRAN Package 'NLPutils' (Natural Language Processing Utilities)
 Utilities for Natural Language Processing.

Package: r-cran-nlraa
Architecture: all
Version: 1.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4649
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-knitr, r-cran-mass, r-cran-matrix, r-cran-mgcv, r-cran-nlme
Suggests: r-cran-bbmle, r-cran-car, r-cran-emmeans, r-cran-ggplot2, r-cran-lattice, r-cran-minpack.lm, r-cran-nistnls, r-cran-nlstools, r-cran-nls2, r-cran-rmarkdown, r-cran-segmented
Filename: pool/dists/focal/main/r-cran-nlraa_1.9.7-1.ca2004.1_all.deb
Size: 3425780
MD5sum: 81ea6804ccabcaab3ab4d9bf867dad6f
SHA1: 681cf61139b8dadb968040b63da98966f70b5be6
SHA256: 59b86cd2223a08a3815af1d85e0b3a338cce05efa5bcf6a40bed42554c75b3fa
SHA512: a3575b121a5896651058049e622dacc9d1b8a7187acad0393498804fbb2999b4f8813e122a281d04b19c6cfbf5abae6303fc5e9ffdf6a25e7f9192894e3ec73e
Homepage: https://cran.r-project.org/package=nlraa
Description: CRAN Package 'nlraa' (Nonlinear Regression for Agricultural Applications)
 Additional nonlinear regression functions using self-start (SS) algorithms.
 One of the functions is the Beta growth function proposed by Yin et al.
 (2003) <doi:10.1093/aob/mcg029>. There are several other functions with
 breakpoints (e.g. linear-plateau, plateau-linear, exponential-plateau,
 plateau-exponential, quadratic-plateau, plateau-quadratic and bilinear), a
 non-rectangular hyperbola and a bell-shaped curve. Twenty eight (28) new
 self-start (SS) functions in total. This package also supports the
 publication 'Nonlinear regression Models and applications in agricultural
 research' by Archontoulis and Miguez (2015) <doi:10.2134/agronj2012.0506>, a
 book chapter with similar material
 <doi:10.2134/appliedstatistics.2016.0003.c15> and a publication by Oddi et.
 al. (2019) in Ecology and Evolution <doi:10.1002/ece3.5543>. The function
 'nlsLMList' uses 'nlsLM' for fitting, but it is otherwise almost identical
 to 'nlme::nlsList'.In addition, this release of the package provides
 functions for conducting simulations for 'nlme' and 'gnls' objects as well
 as bootstrapping. These functions are intended to work with the modeling
 framework of the 'nlme' package. It also provides four vignettes with
 extended examples.

Package: r-cran-nlreg
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-statmod, r-cran-survival
Suggests: r-cran-boot, r-cran-cond, r-cran-csampling, r-cran-marg
Filename: pool/dists/focal/main/r-cran-nlreg_1.2-4-1.ca2004.1_all.deb
Size: 578340
MD5sum: a00c906adcdf403aa33404b409eafc12
SHA1: 27b55ce2ef6cb2241a0800e3da5c6c7469d22455
SHA256: 4868009eb6c8576f3e92a72ce9a17aa802bbbe1f65917a96e3248afa79ffb0e4
SHA512: 17081ea2ed13e171c44eca6d5ae6d6ccb134d20db0ca53fa93964249aa45cffc6bc92e2b4060711c0d4cafc39e03b91a6bbcc6f0f85a5c354cafaf153d7b4b34
Homepage: https://cran.r-project.org/package=nlreg
Description: CRAN Package 'nlreg' (Higher Order Inference for Nonlinear Heteroscedastic Models)
 Implements likelihood inference based on higher order approximations for
 nonlinear models with possibly non constant variance.

Package: r-cran-nlroot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nlroot_1.0-1.ca2004.1_all.deb
Size: 22872
MD5sum: bfbf9fac65ddc14bb4f3b36b305a1fff
SHA1: ce8f29fcbd5c3e4357ed93865d398277f1ce1b6a
SHA256: ff825124c794133c8e35a4c64bd7f6f6043d28af25b5fba81a76c2363b2ad58d
SHA512: 1ca49d9270ce656adff6c65b800ee02b8b7132d523a25671aaab18349cc134b307cd05d9fc9a81bfe7585519c33fe6a9c94f787445497edf64eac58078958560
Homepage: https://cran.r-project.org/package=NLRoot
Description: CRAN Package 'NLRoot' (searching for the root of equation)
 This is a package which can help you search for the root of a equation.

Package: r-cran-nlrr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-nlrr_0.1-1.ca2004.1_all.deb
Size: 37672
MD5sum: d19ad943fdf5edce10f6daacabee7d24
SHA1: 479fe3b70e87f363fb5bafd0c54386e3d29a4936
SHA256: 9a9d28eff57df35f4b0a1fa987257b067217792b499e93ae26a515f2d6f19418
SHA512: 679563c62b7a69dfaba1d24650be291f3bbc497d0f9a3c4bee28ba2f9d6e1ae26768e318008b12b85cd1a396a9d1a779da90c97b2cf32a05729fb96a2d088582
Homepage: https://cran.r-project.org/package=nlrr
Description: CRAN Package 'nlrr' (Non-Linear Relative Risk Estimation and Plotting)
 Estimate the non-linear odds ratio and plot it against a continuous
 exposure.

Package: r-cran-nlrx
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1326
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xml, r-cran-lhs, r-cran-sensitivity, r-cran-dplyr, r-cran-readr, r-cran-purrr, r-cran-furrr, r-cran-magrittr, r-cran-gensa, r-cran-genalg, r-cran-raster, r-cran-rstudioapi, r-cran-sf, r-cran-tidyr, r-cran-tibble, r-cran-crayon, r-cran-igraph, r-cran-stringr, r-cran-progressr, r-cran-easyabc
Suggests: r-cran-testthat, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nlrx_0.4.5-1.ca2004.1_all.deb
Size: 817620
MD5sum: 350cf71ea878f9d67640946a6a412c0b
SHA1: e897f093590a4683729931e26f1e163a26d75fcd
SHA256: a7f2b34317c481adeaf0a1d605ad707fcbc74e1b2d36cf638db768673b93cd68
SHA512: ea284c522dbf3164e2eaf3a2627eb82589b2c657d8eac8c081c33fbd34cb655aa7e12f31be028644ad0e2e159b81070dc123e166f400e7daf480239635f50be5
Homepage: https://cran.r-project.org/package=nlrx
Description: CRAN Package 'nlrx' (Setup, Run and Analyze 'NetLogo' Model Simulations from 'R' via'XML')
 Setup, run and analyze 'NetLogo' (<https://ccl.northwestern.edu/netlogo/>)
 model simulations in 'R'.  'nlrx' experiments use a similar structure as
 'NetLogos' Behavior Space experiments.  However, 'nlrx' offers more
 flexibility and additional tools for running and analyzing complex
 simulation designs and sensitivity analyses.  The user defines all
 information that is needed in an intuitive framework, using class objects.
 Experiments are submitted from 'R' to 'NetLogo' via 'XML' files that are
 dynamically written, based on specifications defined by the user.  By
 nesting model calls in future environments, large simulation design with
 many runs can be executed in parallel.  This also enables simulating
 'NetLogo' experiments on remote high performance computing machines.  In
 order to use this package, 'Java' and 'NetLogo' (>= 5.3.1) need to be
 available on the executing system.

Package: r-cran-nls.multstart
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-lhs, r-cran-cli, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-broom, r-cran-nlstools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nls.multstart_2.0.0-1.ca2004.1_all.deb
Size: 295224
MD5sum: 8996eabfd7a8e26bd83a24e7f9b65f29
SHA1: 893d150e6787d0a10fd89bb0a8b6ed3da85eab8c
SHA256: 8b802e547bd860dd2f7789dc5d3647e2f1510532d61ec0ee406140241e9e46f0
SHA512: ad54aeeb90f8fdbc94a38779d8fdb167d6c35d018f3297adb6e5017cd738bebc78a20e9b33cd37775b6ee233195a04beeb1e93dc4b3214f16cb35fb7ba0ceed1
Homepage: https://cran.r-project.org/package=nls.multstart
Description: CRAN Package 'nls.multstart' (Robust Non-Linear Regression using AIC Scores)
 Non-linear least squares regression with the Levenberg-Marquardt algorithm
 using multiple starting values for increasing the chance that the minimum
 found is the global minimum.

Package: r-cran-nls2
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-proto
Suggests: r-cran-nlstools, r-cran-lhs, r-cran-cpoptim
Filename: pool/dists/focal/main/r-cran-nls2_0.3-4-1.ca2004.1_all.deb
Size: 71260
MD5sum: 2407b2c5941722de6833f517d27a2736
SHA1: 891732d20b3c671fae7815f448eeeceaea11f306
SHA256: 1ba385657e5754b41f64a62be7a47db4bc4e3b86a822f65c4d84ffe4572d9ab0
SHA512: a63fe5efc7a5d9e2fab1fde012ce9d677e034897e29b60646c66ea9db93f5bf1c0a0cdfb3312ac30fb955a33ba0a67bc067eb4e3f7c8037846cd4db60fd817a9
Homepage: https://cran.r-project.org/package=nls2
Description: CRAN Package 'nls2' (Non-Linear Regression with Brute Force)
 Adds brute force and multiple starting values to nls.

Package: r-cran-nlsem
Architecture: all
Version: 0.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-orthopolynom, r-cran-nlme, r-cran-lavaan, r-cran-gaussquad, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-nlsem_0.8-1-1.ca2004.1_all.deb
Size: 633980
MD5sum: 83e3855a8dcc90a838a5f86bc842c649
SHA1: a7e550575f8f20afb575a2e48c270a16df2059ae
SHA256: 56ec77059391d96c7242c60dc7727f8186faf20658a7a8e295ecdfea9721384d
SHA512: 0e17b4002741988d9ebb3d77dbc603c8c69e6944dee912c453a6345ed073e3e0286764968701d6b9e1382ceaf5d1bfcc7f3242b15b998caf5ddaefb8183b81d9
Homepage: https://cran.r-project.org/package=nlsem
Description: CRAN Package 'nlsem' (Fitting Structural Equation Mixture Models)
 Estimation of structural equation models with nonlinear effects and
 underlying nonnormal distributions.

Package: r-cran-nlshelper
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-broom, r-cran-dplyr, r-cran-mgcv, r-cran-magicaxis
Filename: pool/dists/focal/main/r-cran-nlshelper_0.2-1.ca2004.1_all.deb
Size: 47492
MD5sum: ed19a1a9ec54720d287bd2466196affd
SHA1: a2555dec79be9c9590b5ff35419de062d97b7c91
SHA256: e28811b097fac5faba1eaafa8c06d63101ea80bdfa09c4b75f6f56c7767dd9b7
SHA512: 8671b3dfa80c09328a226468e49c8b71165bc1604c5b9ce6de8f87e6676e04ae14e0c963faa2b3572afcbfd84b09e192eddf67e1e47d5e24a0eb41b2a4ea4fc1
Homepage: https://cran.r-project.org/package=nlshelper
Description: CRAN Package 'nlshelper' (Convenient Functions for Non-Linear Regression)
 A few utilities for summarizing, testing, and plotting non-linear regression
 models fit with nls(), nlsList() or nlme().

Package: r-cran-nlshrink
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-nlshrink_1.0.1-1.ca2004.1_all.deb
Size: 91708
MD5sum: e1a3c9d9aa0fc6a2d16abbeb090ad152
SHA1: 734fdce299e2af9103e2d1f954b69b40079c7cb0
SHA256: 7264a4aec2567c5a651f85baf80be4c793bad9f050e4ac1b534c7f90af288a2d
SHA512: 606ef411c991dc802777716548a2eb5219d851a65432135a421c1e12aa1269a09ba455b8e2dbdb034d9c1a057b1abd9dca6b941d2266a4b47cd6dad808b634e0
Homepage: https://cran.r-project.org/package=nlshrink
Description: CRAN Package 'nlshrink' (Non-Linear Shrinkage Estimation of Population Eigenvalues andCovariance Matrices)
 Non-linear shrinkage estimation of population eigenvalues and covariance
 matrices, based on publications by Ledoit and Wolf (2004, 2015, 2016).

Package: r-cran-nlsic
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nnls, r-cran-dotty
Suggests: r-cran-numderiv, r-cran-runit, r-cran-limsolve
Filename: pool/dists/focal/main/r-cran-nlsic_1.1.1-1.ca2004.1_all.deb
Size: 108928
MD5sum: 28c4f727d6e25052caef0bed9b4404c3
SHA1: 9bdeab7f936f7ffdfb5c6125040f42e2de093a58
SHA256: 5082d3e8a49fa4456e5f01dbd82fe33e4747506b02f32d4d3d86c1b0895a9857
SHA512: 615118df7150659f73c6a41c6c39bb0c0c342698d14b0e2a594c8a80b58d180dc1003eb78bbe7cc78b9570e678b3eb162abf9e55493a0a7b800bbef5f5584d22
Homepage: https://cran.r-project.org/package=nlsic
Description: CRAN Package 'nlsic' (Non Linear Least Squares with Inequality Constraints)
 We solve non linear least squares problems with optional equality and/or
 inequality constraints. Non linear iterations are globalized with
 back-tracking method. Linear problems are solved by dense QR decomposition
 from 'LAPACK' which can limit the size of treated problems. On the other
 side, we avoid condition number degradation which happens in classical
 quadratic programming approach.  Inequality constraints treatment on each
 non linear iteration is based on 'NNLS' method (by Lawson and Hanson).  We
 provide an original function 'lsi_ln' for solving linear least squares
 problem with inequality constraints in least norm sens. Thus if Jacobian of
 the problem is rank deficient a solution still can be provided.  However,
 truncation errors are probable in this case.  Equality constraints are
 treated by using a basis of Null-space.  User defined function calculating
 residuals must return a list having residual vector (not their squared sum)
 and Jacobian. If Jacobian is not in the returned list, package 'numDeriv' is
 used to calculated finite difference version of Jacobian. The 'NLSIC' method
 was fist published in Sokol et al. (2012)
 <doi:10.1093/bioinformatics/btr716>.

Package: r-cran-nlsmicrobio
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlstools
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nlsmicrobio_1.0-0-1.ca2004.1_all.deb
Size: 650080
MD5sum: 6a7049fd7f0e495897beed2848f4ab1d
SHA1: 1d88c81a60e2a2b91d7bde8d4010c6c062af9a6e
SHA256: 5a54264d103b2a2ba9e7976bdb0609631f31503762ab7cec86f80889fcde0151
SHA512: e88dfa07035ddbf948d6516c2032ccb524e5a43e54bb463b0ddfcfd4a01cd118a94e655420018dd6dfecbfc56f2e24867a80268df306611182b687bcb46b230d
Homepage: https://cran.r-project.org/package=nlsMicrobio
Description: CRAN Package 'nlsMicrobio' (Nonlinear Regression in Predictive Microbiology)
 Data sets and nonlinear regression models dedicated to predictive
 microbiology.

Package: r-cran-nlsmsn
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nlsmsn_0.0-6-1.ca2004.1_all.deb
Size: 58180
MD5sum: fd104d027477fdeb1e7268ebcf2df689
SHA1: 9ce8f0a9209f5209befe18ac120ad196c5fe8428
SHA256: d1aacbe4694027fc207dc0f3b5047c292b6306785cc1109534f12a80762254d1
SHA512: 5a34e7394be8fbe8f6b288dbcbfd8055d4d07c100f3132312fdcea43de3aec2864a1c0e7d469369873942104f5bcdabe021ef25937af79f847fc18d21b32c21e
Homepage: https://cran.r-project.org/package=nlsmsn
Description: CRAN Package 'nlsmsn' (Fitting Nonlinear Models with Scale Mixture of Skew-NormalDistributions)
 Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression,
 details in Garay, Lachos and Abanto-Valle (2011)
 <doi:10.1016/j.jkss.2010.08.003> and Lachos, Bandyopadhyay and Garay (2011)
 <doi:10.1016/j.spl.2011.03.019>.

Package: r-cran-nlsr
Architecture: all
Version: 2023.8.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3975
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest
Suggests: r-cran-minpack.lm, r-cran-optimx, r-cran-numderiv, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ryacas, r-cran-deriv, r-cran-microbenchmark, r-cran-mass, r-cran-ggplot2, r-cran-nlraa
Filename: pool/dists/focal/main/r-cran-nlsr_2023.8.31-1.ca2004.1_all.deb
Size: 2443092
MD5sum: 65c3c5609e310b1b90fd91b5f56bd9f9
SHA1: 8a597b0f4bf713ecc7a621fee4833e4398ee5c0e
SHA256: 389b25669f48cc5c51bea0dae48ad4072d5e56e6fa996d558fe55f9625687be3
SHA512: 2bdef07041cec2dc59beb97882b5d339f19981c6c1b27ad8d041bab4200094e7a1fe6d2315c11614946a8745f315e6116bab7b743a9220666617b4748b75c663
Homepage: https://cran.r-project.org/package=nlsr
Description: CRAN Package 'nlsr' (Functions for Nonlinear Least Squares Solutions - Updated 2022)
 Provides tools for working with nonlinear least squares problems.  For the
 estimation of models reliable and robust tools than nls(), where the the
 Gauss-Newton method frequently stops with 'singular gradient' messages.
 This is accomplished by using, where possible, analytic derivatives to
 compute the matrix of derivatives and a stabilization of the solution of the
 estimation equations. Tools for approximate or externally supplied
 derivative matrices are included. Bounds and masks on parameters are handled
 properly.

Package: r-cran-nlstac
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-deriv, r-cran-foreach, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nlstac_0.2.0-1.ca2004.1_all.deb
Size: 74780
MD5sum: 524562455b02ee708e9bc2487519c1ea
SHA1: 25416c54ac7999fba88f0de7168f7241d3457370
SHA256: 5fbdaf685944fde9e66d4260af219820377f3b934ede4cdb8b5bfb0adae87680
SHA512: cf233a0bdfec633bb80083fd0c925f9a754c525a4f1a1cb34b7f5b6e871e079c01f66301de907d567e3159978b799994cc13eb84d7cd3fb9f537ddebb12aeafb
Homepage: https://cran.r-project.org/package=nlstac
Description: CRAN Package 'nlstac' (An R Package for Fitting Separable Nonlinear Models)
 Set of functions implementing the algorithm described in Fernandez Torvisco
 et al. (2018) for fitting separable nonlinear regression curves.  See
 Fernandez Torvisco, Rodriguez-Arias Fernandez and Cabello Sanchez (2018)
 <doi:10.2298/FIL1812233T>.

Package: r-cran-nlstools
Architecture: all
Version: 2.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rticles
Filename: pool/dists/focal/main/r-cran-nlstools_2.1-0-1.ca2004.1_all.deb
Size: 420868
MD5sum: 71cc387b35ea4ae18cd35890442da3d9
SHA1: 8e5cb38fce66d2de902a383cb141b1437b07aada
SHA256: c3866a0c620337042f8ea7824459df9c50f719b7f1a1cc89a41f36ba7e9bb021
SHA512: c3b2e31b0f6cefadb5db9fad312fccc71e7e938676e44a981ec0f3a8a4e4cfccdcc00e199c4812dc53ad38a8933c0e607cccfdf0ac7fd1ffcc4590264f008c3a
Homepage: https://cran.r-project.org/package=nlstools
Description: CRAN Package 'nlstools' (Tools for Nonlinear Regression Analysis)
 Several tools for assessing the quality of fit of a gaussian nonlinear model
 are provided.

Package: r-cran-nlsylinks
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan
Suggests: r-cran-covr, r-cran-devtools, r-cran-dplyr, r-cran-spelling, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testit, r-cran-testthat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-nlsylinks_2.2.2-1.ca2004.1_all.deb
Size: 2711216
MD5sum: 164a0e24b6bb5f7776adcaece0e9f518
SHA1: 8f7bc6c63ad6a19e4b848046fa81aa8a5e89a028
SHA256: 2a559885fb09509b4b116b6f9b26f5a2428cabdea023a05537860938e7eb9bc0
SHA512: 0b686dcac3052340e1d01766237aa1ca996d8df1549478c639aba4fc677c2d82d2c9c514be1a643c52d31e0c5477337d037cbbbeb5d004a15a2d4cb8ee76b20f
Homepage: https://cran.r-project.org/package=NlsyLinks
Description: CRAN Package 'NlsyLinks' (Utilities and Kinship Information for Research with the NLSY)
 Utilities and kinship information for behavior genetics and developmental
 research using the National Longitudinal Survey of Youth (NLSY;
 <https://www.nlsinfo.org/>).

Package: r-cran-nlt
Architecture: all
Version: 2.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ebayesthresh, r-cran-adlift
Filename: pool/dists/focal/main/r-cran-nlt_2.2-2-1.ca2004.1_all.deb
Size: 43748
MD5sum: 4a3643600286ae77436ad8e40e907737
SHA1: 267112b43aa5b492daab3ffcf1fef65bab96767c
SHA256: bfdbae940ca7d019a5fe12fa0ae362b456cf80a4432f16a163d78951ebe3d3bf
SHA512: b17bcda173e048d362ef9a8eb0bc7514c3d67415b237ca54729966c5f1a26bee9e554fc9cee5733db38cd0eb044adc4f7a73c27b6fdfa414c9d5b1804cc8303f
Homepage: https://cran.r-project.org/package=nlt
Description: CRAN Package 'nlt' (A Nondecimated Lifting Transform for Signal Denoising)
 Uses a modified lifting algorithm on which it builds the nondecimated
 lifting transform. It has applications in wavelet shrinkage.

Package: r-cran-nlts
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-locfit, r-cran-acepack
Filename: pool/dists/focal/main/r-cran-nlts_1.0-2-1.ca2004.1_all.deb
Size: 101352
MD5sum: dc04421fb9e87eb036ca8b06e0792fa1
SHA1: 4adb7b22020c9591e26b15038e2563e732fde057
SHA256: 5d52b435928ffbe2d996204d231061ebd172b10bf89e22c7c83cb99da1d9d430
SHA512: c92c48df4af540c15f98d4c5b3de05e11e5667ec56b9237030de7aa619b64e3dd86ad81020d816552eb5c2fe643faf0f71c6351e39a2b8d36a9ec91f5c5fadcb
Homepage: https://cran.r-project.org/package=nlts
Description: CRAN Package 'nlts' (Nonlinear Time Series Analysis)
 R functions for (non)linear time series analysis with an emphasis on
 nonparametric autoregression and order estimation, and tests for linearity /
 additivity.

Package: r-cran-nltt
Architecture: all
Version: 1.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1448
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-coda, r-cran-testit
Suggests: r-cran-treesim, r-cran-ddd, r-cran-ggplot2, r-cran-hmisc, r-cran-knitr, r-cran-lintr, r-cran-microbenchmark, r-cran-plyr, r-cran-reshape2, r-cran-rmarkdown, r-cran-tess, r-cran-testthat, r-cran-daisie
Filename: pool/dists/focal/main/r-cran-nltt_1.4.10-1.ca2004.1_all.deb
Size: 712924
MD5sum: 7460195dffd54ddc8a13d73cae7e6b88
SHA1: 7c4e1b07c2fb7fe236c7291c6526e1dfdb5298d6
SHA256: 2e642e714de82974f3a63cbcf8f2ac56570314fd222739ff146ede24de3b71ac
SHA512: 54ef1f0e518f853d6ffe36b9ed6e88967c23c2a61316abc2114b899e6e35b55e82105d4e0a74bce02a8b27e17b3974bc708acb33cf02aeb81844da1f102088bd
Homepage: https://cran.r-project.org/package=nLTT
Description: CRAN Package 'nLTT' (Calculate the NLTT Statistic)
 Provides functions to calculate the normalised Lineage-Through- Time (nLTT)
 statistic, given two phylogenetic trees. The nLTT statistic measures the
 difference between two Lineage-Through-Time curves, where each curve is
 normalised both in time and in number of lineages.

Package: r-cran-nlwaldtest
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nlwaldtest_1.1.3-1.ca2004.1_all.deb
Size: 37672
MD5sum: 5a27fa5b9a967f729e814a4b7c5d89a8
SHA1: c4b359f3ed7847f6e428bfaf653fee303b20519a
SHA256: 126ac6c1b46c7c06b84fb97523d456f40fbc61f0842718b94e2e8e14bad2124a
SHA512: 5a963c51f71dfdc2ce2706ec0207c90c2e529e2d1b2f9cae89318df93b2fe9b6a665e54e19844d3d99ce8805d4a62e41a92846c833efd2849b2db4b0951b92ec
Homepage: https://cran.r-project.org/package=nlWaldTest
Description: CRAN Package 'nlWaldTest' (Wald Test of Nonlinear Restrictions and Nonlinear CI)
 Wald Test for nonlinear restrictions on model parameters and confidence
 intervals for nonlinear functions of parameters using delta-method.
 Applicable after ANY model, provided parameters estimates and their
 covariance matrix are available.

Package: r-cran-nma
Architecture: all
Version: 1.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-metafor, r-cran-stringr, r-cran-forestplot
Filename: pool/dists/focal/main/r-cran-nma_1.4-3-1.ca2004.1_all.deb
Size: 369264
MD5sum: 6f239c168cd376ea7e94f8420e1a875e
SHA1: a29ab3cebb0d0f9c35470175ab2540d0a4b22a36
SHA256: c83de1dab12691fcce4f1edb4e8bc2663474aa28cdb2e7e1ae9626b2da719c18
SHA512: c0dc683ba49df5705f17e239a06e2134cb6bd866038feef6d9a1d2859dda22ebb642bf4037e4689122e07371470f4c8e078350c84cb2b2b811ce244638a9bec5
Homepage: https://cran.r-project.org/package=NMA
Description: CRAN Package 'NMA' (Network Meta-Analysis Based on Multivariate Meta-Analysis Models)
 Network meta-analysis tools based on contrast-based approach using the
 multivariate meta-analysis and meta-regression models (Noma et al. (2023)
 <Forthcoming>). Standard analysis tools for network meta-analysis and
 meta-regression (e.g., synthesis analysis, ranking analysis, and creating
 league table) are available by simple commands. For inconsistency analyses,
 the local and global inconsistency tests based on the Higgins'
 design-by-treatment interaction model can be applied. Also, the
 side-splitting and the Jackson's random inconsistency model are available.
 Standard graphical tools for network meta-analysis (e.g., network plot,
 ranked forest plot, and transitivity analysis) can also be utilized. For the
 synthesis analyses, the Noma-Hamura's improved REML (restricted maximum
 likelihood)-based methods (Noma et al. (2023) <doi:10.1002/jrsm.1652>
 <doi:10.1002/jrsm.1651>) are adopted as the default methods.

Package: r-cran-nmadb
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-v8
Filename: pool/dists/focal/main/r-cran-nmadb_1.2.0-1.ca2004.1_all.deb
Size: 24476
MD5sum: 2b826d992c3bed9d379d113eaeb56bcb
SHA1: 2e9ebd275d85bec76db0c06f8e66e17920a328b5
SHA256: 026c1c2a50476da10b6b5e2bf1fe99e1031e8f74e02734182bbe15cff5c28439
SHA512: fdc411932835040c600870ee65fb326d9022b24894eaede3763f49cc945a6520c7e926d60b8ce4505d541bb965f952991b41e5f7ea057cf1daca738213b70fdf
Homepage: https://cran.r-project.org/package=nmadb
Description: CRAN Package 'nmadb' (Network Meta-Analysis Database API)
 Set of functions for accessing database of network meta-analyses described
 in Petropoulou M, et al. Bibliographic study showed improving statistical
 methodology of network meta-analyses published between 1999 and 2015
 <doi:10.1016/j.jclinepi.2016.11.002>. The database is hosted in a REDcap
 database at the Institute of Social and Preventive Medicine (ISPM) in the
 University of Bern.

Package: r-cran-nmadiagt
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-ggplot2, r-cran-ks, r-cran-reshape2, r-cran-mcmcpack, r-cran-mass, r-cran-plotrix, r-cran-imgur, r-cran-rdpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nmadiagt_0.1.2-1.ca2004.1_all.deb
Size: 183220
MD5sum: 9e1ac9c021ec261bddc980c501b8e262
SHA1: a28df29a592615f242db94ce19830110b1dc4a92
SHA256: 60a9c5d79ccf5ecc595c7e08c4592597d0243b6e81a0ce2e80d3d4489749a328
SHA512: 4c4fd3988cb6b4b83b1cfd0f164322acfe55ccae305309ce648e19bce74e7d18654a87e96201b58f51188c8bf4a3bf9afcf52d59754caeefd41663eccb4279be
Homepage: https://cran.r-project.org/package=NMADiagT
Description: CRAN Package 'NMADiagT' (Network Meta-Analysis of Multiple Diagnostic Tests)
 Implements HSROC (hierarchical summary receiver operating characteristic)
 model developed by Ma, Lian, Chu, Ibrahim, and Chen (2018)
 <doi:10.1093/biostatistics/kxx025> and hierarchical model developed by Lian,
 Hodges, and Chu (2019) <doi:10.1080/01621459.2018.1476239> for performing
 meta-analysis for 1-5 diagnostic tests to simultaneously compare multiple
 tests within a missing data framework. This package evaluates the accuracy
 of multiple diagnostic tests and also gives graphical representation of the
 results.

Package: r-cran-nmainla
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nmainla_1.1.0-1.ca2004.1_all.deb
Size: 441920
MD5sum: 0bf8dec36c718d8bce72dc59fae1e6d9
SHA1: ec26a3afb0b73a00651c35be95f749d9fabcebd9
SHA256: 0ce6234afd2682b94e302670b37f43e07a2b023cf793e3e324217b0d3b978c8a
SHA512: dc0021af6280595c4b8856140f645ef7569507258849300d2a9ee1d1f687176f6f404001137e3be6dfb42b8dd090043c52c754eb828d531bc59b776191e78714
Homepage: https://cran.r-project.org/package=nmaINLA
Description: CRAN Package 'nmaINLA' (Network Meta-Analysis using Integrated Nested LaplaceApproximations)
 Performs network meta-analysis using integrated nested Laplace
 approximations ('INLA') which is described in Guenhan, Held, and Friede
 (2018) <doi:10.1002/jrsm.1285>.  Includes methods to assess the
 heterogeneity and inconsistency in the network.  Contains more than ten
 different network meta-analysis dataset.  'INLA' package can be obtained
 from <https://www.r-inla.org>.

Package: r-cran-nmaoutlier
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-netmeta, r-cran-meta, r-cran-mass, r-cran-reshape2, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-nmaoutlier_0.2.0-1.ca2004.1_all.deb
Size: 366332
MD5sum: e7478040faa2b7df07357b272bd6f945
SHA1: dc03b3a170abecdf72f0ea0d195374aa444fee2b
SHA256: 4043ece00a51ed448707db97faab8e47cf68880b28c326e08eea9eb64defa3a8
SHA512: c9538954f65379d6d92e2171f8dadf1b9476a948b28fe5d4e5b6bdffda3ef46093c1fa5cff969ae2b594b0bd88d4c86884523443760f5faf752548645a259bf9
Homepage: https://cran.r-project.org/package=NMAoutlier
Description: CRAN Package 'NMAoutlier' (Detecting Outliers in Network Meta-Analysis)
 A set of functions providing several outlier (i.e., studies with extreme
 findings) and influential detection measures and methodologies in network
 meta-analysis : - simple outlier and influential detection measures -
 outlier and influential detection measures by considering study deletion
 (shift the mean) - plots for outlier and influential detection measures -
 Q-Q plot for network meta-analysis - Forward Search algorithm in network
 meta-analysis.  - forward plots to monitor statistics in each step of the
 forward search algorithm - forward plots for summary estimates and their
 confidence intervals in each step of forward search algorithm.

Package: r-cran-nmaplateplot
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5791
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-nmaplateplot_1.0.2-1.ca2004.1_all.deb
Size: 464060
MD5sum: 876d8cbda1f019cfd00ac3dfb9217a35
SHA1: 2f1a8b65bff16dd256b0f6df8fc35727b46f9860
SHA256: 002922aa4e47669c810e8547c6f409cc449fd8c05ee12941e8e990809320bf33
SHA512: a5e2d247a41c1ebb9b714f39bf9c1093841883eb3941920123de064f57e6a8f87e1231b94be7aee813047611a82905646aad9f5a2ae703c854082a8d8859d6ee
Homepage: https://cran.r-project.org/package=nmaplateplot
Description: CRAN Package 'nmaplateplot' (The Plate Plot for Network Meta-Analysis Results)
 A graphical display of results from network meta-analysis (NMA).  It is
 suitable for outcomes like odds ratio (OR), risk ratio (RR), risk difference
 (RD) and standardized mean difference (SMD).  It also has an option to
 visually display and compare the surface under the cumulative ranking
 (SUCRA) of different treatments.

Package: r-cran-nmarank
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-meta, r-cran-netmeta, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-mass, r-cran-data.tree, r-cran-mvtnorm, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nmarank_0.3-0-1.ca2004.1_all.deb
Size: 68604
MD5sum: a96d529df02ba0f8cd9c5ecb26d42fa7
SHA1: 72e9e25bab07dde82125d9cebe48fc9521b21845
SHA256: e60d85353f590faab459ae5a8300882b2fa03022a17fe0105cc99c1f91e4cb16
SHA512: 248193e90f93a008e2745014fdcf2577fb638e631af82221a8f86e9940ed77a7c5ace88ded550045f8b13dec63dcb7fc8acec8c024ea1a38cf613612a73f9dc2
Homepage: https://cran.r-project.org/package=nmarank
Description: CRAN Package 'nmarank' (Complex Hierarchy Questions in Network Meta-Analysis)
 Derives the most frequent hierarchies along with their probability of
 occurrence. One can also define complex hierarchy criteria and calculate
 their probability. Methodology based on Papakonstantinou et al. (2021)
 <DOI:10.21203/rs.3.rs-858140/v1>.

Package: r-cran-nmathresh
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3064
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnls, r-cran-gridextra, r-cran-gtable, r-cran-matrix, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-coda
Filename: pool/dists/focal/main/r-cran-nmathresh_0.1.6-1.ca2004.1_all.deb
Size: 2182380
MD5sum: 733e991643e07e7f06c9a2b3c333bacc
SHA1: 642d8ade17424cbe39c7a290da8eaa431199c415
SHA256: baf2ff23d5e953fd677befbcf2a39986352f534029add8973423cd9cdbbeb83a
SHA512: ebe68a56e09dd0f269c83d7f2fe71d112d0d07561e8152a34dcd5142a184b7238a6e740f4823c537adc6a0e9bfb67da5821833c0adcee686d94378be7ca21c3f
Homepage: https://cran.r-project.org/package=nmathresh
Description: CRAN Package 'nmathresh' (Thresholds and Invariant Intervals for Network Meta-Analysis)
 Calculation and presentation of decision-invariant bias adjustment
 thresholds and intervals for Network Meta-Analysis, as described by
 Phillippo et al. (2018) <doi:10.1111/rssa.12341>. These describe the
 smallest changes to the data that would result in a change of decision.

Package: r-cran-nmcalc
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-nmcalc_0.0.4-1.ca2004.1_all.deb
Size: 36312
MD5sum: 4280f8708e613212f6a092c522f35223
SHA1: 5ae9df4955b2e943b658e35f2a785c3b9a3546ca
SHA256: a3b32825e99361390ea1f38bee66fb407165c9bfea322d4bda92115d5ac02a67
SHA512: 6c0cf32f8bd5fefb3eb0d37dbaaba9d9828fa349a0f06031c10267b4e129df7a0dfc5ccc50dfd5ea18fa99059fe30ec905bd19709fcf1a06e45b33148266055a
Homepage: https://cran.r-project.org/package=NMcalc
Description: CRAN Package 'NMcalc' (Basic Calculations for PK/PD Modeling)
 Essentials for PK/PD (pharmacokinetics/pharmacodynamics) such as area under
 the curve, (geometric) coefficient of variation, and other calculations that
 are not part of base R. This is not a noncompartmental analysis (NCA)
 package.

Package: r-cran-nmdata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3929
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fst
Suggests: r-cran-testthat, r-cran-knitr, r-cran-nmsim, r-cran-nmcalc, r-cran-formatr, r-cran-mime, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tibble, r-cran-covr, r-cran-htmltools, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-nmdata_0.2.0-1.ca2004.1_all.deb
Size: 1317528
MD5sum: 6f64ad4a6fa9823ffa8ab1b7d9304ffe
SHA1: 35544d99f9f4a720cf7d32f6899a388038582ab5
SHA256: dccb17ebf4edc86633554b63b49501235321e01cda0bbd8720ad214212d6fbf1
SHA512: c79d5ee0a74594f8f1379f1f70e24ea749d583d6ec73ad0d583a6fedd92677379e34255b566b0661837a81b599de0d903867c7df948a7afbb32fa21ef5767791
Homepage: https://cran.r-project.org/package=NMdata
Description: CRAN Package 'NMdata' (Preparation, Checking and Post-Processing Data for PK/PDModeling)
 Efficient tools for preparation, checking and post-processing of data in
 PK/PD (pharmacokinetics/pharmacodynamics) modeling, with focus on use of
 Nonmem. Attention is paid to ensure consistency, traceability, and Nonmem
 compatibility of Data. Rigorously checks final Nonmem datasets. Implemented
 in 'data.table', but easily integrated with 'base' and 'tidyverse'.

Package: r-cran-nmfbin
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nmfbin_0.2.1-1.ca2004.1_all.deb
Size: 29012
MD5sum: 52cf21f548a419a22cb1140d1399641b
SHA1: 5e6162101993549289440de3f362e898d13f7c28
SHA256: 3a26fcc8213838532f279111acce61131b27f87d91131918afb56392c144b3c5
SHA512: ab60267dfe67c62291193ce2a0a119bce804fa968a9892c5df26ad58fbfc2920dfb474b6ba4e55ab102a88915fbd6780e5a4e7f29733ffa91a5680a844a1d6f4
Homepage: https://cran.r-project.org/package=nmfbin
Description: CRAN Package 'nmfbin' (Non-Negative Matrix Factorization for Binary Data)
 Factorize binary matrices into rank-k components using the logistic function
 in the updating process. See e.g. Tomé et al (2015)
 <doi:10.1007/s11045-013-0240-9> .

Package: r-cran-nmfn
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nmfn_2.0.1-1.ca2004.1_all.deb
Size: 29228
MD5sum: 39eada7baaf4b91025d06f49d131871e
SHA1: 4871266794283dc4ed634e5bda508cbfa2728aba
SHA256: 3dc5711f5f44f7f81e5bd3e9d9d9c59300ff396de9b6d2a494c8b36233dd9b59
SHA512: f7b1ba1e23b61ce276a2c68706d7d15307fcb6e193102c894dffa10d86f9439604494910bf684873ad7e427ddf45317f3ca5a15a20094ffbe1593eb1a08e2b19
Homepage: https://cran.r-project.org/package=NMFN
Description: CRAN Package 'NMFN' (Non-Negative Matrix Factorization)
 Non-negative Matrix Factorization.

Package: r-cran-nmi
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nmi_2.0-1.ca2004.1_all.deb
Size: 11612
MD5sum: e207766b0df536ec6620a1a97426d617
SHA1: 1455442ea50dc5f2bd5ab78a5515fbb871bc39ea
SHA256: f028239acd9bcd0fecb7d6671838484fc2b801daf1ccc5fec01036e5fab6061f
SHA512: 7143f5e543772073f2be7dd118906bf691cfd46e9e15db55b838c7ac0601c7e797eab1394945e0d84074a17de639949dcae8dc2f5d55e75671e87ec8927ebd91
Homepage: https://cran.r-project.org/package=NMI
Description: CRAN Package 'NMI' (Normalized Mutual Information of Community Structure in Network)
 Calculates the normalized mutual information (NMI) of two community
 structures in network analysis.

Package: r-cran-nmisc
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rappdirs, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-stringr
Suggests: r-cran-lubridate, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nmisc_0.3.7-1.ca2004.1_all.deb
Size: 56392
MD5sum: 07143590d8498c07655bc7ecbb786373
SHA1: afe8ca3ba9493faf4389eb14c822dca46cbc756d
SHA256: 3278f707007ac6bf64d7489e5f750e6054ae864e343f3f643a9bf8a434968ca8
SHA512: bc82a57ae20bb37a0b8130e715e64890dd155b7c7d55617fff90c5c179a8843b42c56f53e30405c51982cc5a1e7a67cafd2ee8ed9b74691cde535955591922d0
Homepage: https://cran.r-project.org/package=Nmisc
Description: CRAN Package 'Nmisc' (Miscellaneous Functions Used at 'Numeract LLC')
 Contains functions useful for debugging, set operations on vectors, and
 'UTC' date and time functionality. It adds a few vector manipulation verbs
 to 'purrr' and 'dplyr' packages. It can also generate an R file to install
 and update packages to simplify deployment into production. The functions
 were developed at the data science firm 'Numeract LLC' and are used in
 several packages and projects.

Package: r-cran-nmm
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 866
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-systemfit, r-cran-deoptim, r-cran-data.table, r-cran-magrittr, r-cran-maxlik, r-cran-rdpack, r-cran-aer, r-cran-mlogit, r-cran-hmisc, r-cran-gsubfn, r-cran-abind, r-cran-tidyr, r-cran-plyr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-recipes, r-cran-stat2data
Filename: pool/dists/focal/main/r-cran-nmm_0.9-1.ca2004.1_all.deb
Size: 822140
MD5sum: fb73565151578794ecd376f2ae3d399f
SHA1: 4403ee0160ba52972e2786237abe590e68c4150e
SHA256: 5d4d54040fa0b3e27cd90c11fb48693a74ae531cc942dd8d54cb25ef81c020c7
SHA512: 010a3f197f44a1363516f83aa2c94348548cdc8ef6d38e09dae830332bdaae567006f69341301f69c76f70c73e260b3c1b3edb78120e07307b4dc8de863d61d2
Homepage: https://cran.r-project.org/package=nmm
Description: CRAN Package 'nmm' (Nonlinear Multivariate Models)
 Estimates a subset of nonlinear multivariate models (NMM): system of
 nonlinear regressions (SNR), logit, and a joint model of SNR and logit.
 'nmm' uniquely accounts for correlations between the error terms from
 nonlinear regressions and the probabilities from logit models.  It also
 enables a very flexible design of logit: alternative-specific indirect
 utilities, individual-specific choice set and number of actual choices.

Package: r-cran-nmmipw
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lava, r-cran-nloptr, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-nmmipw_0.1.0-1.ca2004.1_all.deb
Size: 42080
MD5sum: 5109f4855d59223862b476ceca84fb3b
SHA1: 578e637460bc2151a5f10017bcf117e53c9b4395
SHA256: 7fad0398617d837749d7f9e66ba36a278e14500ad92828a4ad3011a59edc6733
SHA512: fc3174a1c06b7e74bb4cc49ec5ad17bf779125099dad8ed454a54a0e39a434d6b76ac182d4bc6d00c45aa7efc1e4a05b7bb062c7375253af64dbac9b7b9acaad
Homepage: https://cran.r-project.org/package=NMMIPW
Description: CRAN Package 'NMMIPW' (Inverse Probability Weighting under Non-Monotone Missing)
 We fit inverse probability weighting estimator and the augmented inverse
 probability weighting for non-monotone missing at random data.

Package: r-cran-nmof
Architecture: all
Version: 2.10-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2904
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-pmwr, r-cran-runit, r-cran-rglpk, r-cran-datetimeutils, r-cran-openxlsx, r-cran-quadprog, r-cran-readxl, r-cran-tinytest, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-nmof_2.10-1-1.ca2004.1_all.deb
Size: 2257172
MD5sum: 24983029da425f50f7e4f7623fe46687
SHA1: a8013a4057f5cb84032fc87ad180ddca5f23148b
SHA256: e2ec58faf1a8bfe917616903bd26851200d98fa21cbff9a26f561fcfcf2bccb8
SHA512: 35077ca77f52619340c7f2aca0bdf136647b06da35a0d868fa0481cf13a5700432f7c3cb338dc249040b20e7918eef11f78884caafd5f59654f39c9c114a9b95
Homepage: https://cran.r-project.org/package=NMOF
Description: CRAN Package 'NMOF' (Numerical Methods and Optimization in Finance)
 Functions, examples and data from the first and the second edition of
 "Numerical Methods and Optimization in Finance" by M. Gilli, D. Maringer and
 E. Schumann (2019, ISBN:978-0128150658).  The package provides
 implementations of optimisation heuristics (Differential Evolution, Genetic
 Algorithms, Particle Swarm Optimisation, Simulated Annealing and Threshold
 Accepting), and other optimisation tools, such as grid search and greedy
 search.  There are also functions for the valuation of financial instruments
 such as bonds and options, for portfolio selection and functions that help
 with stochastic simulations.

Package: r-cran-nmproject
Architecture: all
Version: 0.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4399
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-dygraphs, r-cran-dt, r-cran-git2r, r-cran-dplyr, r-cran-stringr, r-cran-rlang, r-cran-diffobj, r-cran-tidyr, r-cran-miniui, r-cran-rstudioapi, r-cran-crayon, r-cran-rprojroot, r-cran-htmltools, r-cran-rmarkdown, r-cran-magrittr, r-cran-usethis, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-data.tree, r-cran-xpose, r-cran-lubridate, r-cran-pmxtools, r-cran-hmisc, r-cran-rsample, r-cran-renv, r-cran-desc, r-cran-purrr, r-cran-digest, r-cran-covr, r-cran-devtools, r-cran-roxygen2, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-nmproject_0.6.9-1.ca2004.1_all.deb
Size: 2433184
MD5sum: 8db7a823f2bef34328de28328c0690b8
SHA1: 6f9520f18d3c84234a31370cb004451a188db6ee
SHA256: 7c7f370a3cbcdfb0706b24d3b7a8fd884632de8807c90c2791a90e6f5b0f38db
SHA512: 73bef4be7d5f4ae610243f3efca3998b52dad6b4bb4a4c7ad4ab010cbe6ee7ec9c3f3584075e82c024de311b957b3ffabf976a3f3140d16fa82427815bfa8d16
Homepage: https://cran.r-project.org/package=NMproject
Description: CRAN Package 'NMproject' (Script Based 'NONMEM' Model Development)
 Industrialisation of 'NONMEM' <https://www.iconplc.com/innovation/nonmem/>
 via fully and rapidly reusable model development 'workflows' entirely within
 'RStudio'. Quickly get started with new models by importing 'NONMEM'
 templates from the built-in code library. Manipulate 'NONMEM' code from
 within R either via the tracked 'manual edit' interface or
 'programmatically' via convenience functions.  Script 'workflows' by piping
 sequences of model building steps from control file creation, to execution,
 to post-processing and evaluation. Run caching makes 'workflows' R markdown
 friendly for easy documentation of thoughts and modelling decisions
 alongside executable code. Share, reuse and recycle 'workflows' for new
 problems.

Package: r-cran-nmrphasing
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3076
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-baseline, r-bioc-massspecwavelet, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggpubr, r-cran-conflicted
Filename: pool/dists/focal/main/r-cran-nmrphasing_1.0.7-1.ca2004.1_all.deb
Size: 1365160
MD5sum: ff34af2c1655791a15d16d433fd41412
SHA1: 41b3662c652aa4c35f98ee8cb2b85dabc495689a
SHA256: 88a2ef954f34b6d7a81a2b514a9ee15aa5bc23688b5712a07cdeac904daedfdd
SHA512: 3128623b670062c61235baf9a05d8ca1c67077237a36ec27a8803afbae9445c07a6f9bf77cb0952a25826c65201d180e60e54ea2bf25b707d0bcab5f0ad41f83
Homepage: https://cran.r-project.org/package=NMRphasing
Description: CRAN Package 'NMRphasing' (Phase Error Correction and Baseline Correction for OneDimensional ('1D') 'NMR' Data)
 There are three distinct approaches for phase error correction, they are: a
 single linear model with a choice of optimization functions, multiple linear
 models with optimization function choices and a shrinkage-based method. The
 methodology is based on our new algorithms and various references (Binczyk
 et al. (2015) <doi:10.1186/1475-925X-14-S2-S5>,Chen et al. (2002)
 <doi:10.1016/S1090-7807(02)00069-1>, de Brouwer (2009)
 <doi:10.1016/j.jmr.2009.09.017>, Džakula (2000)
 <doi:10.1006/jmre.2000.2123>, Ernst (1969)
 <doi:10.1016/0022-2364(69)90003-1>, Liland et al. (2010)
 <doi:10.1366/000370210792434350>).

Package: r-cran-nmrrr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2323
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desctools, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-nmrrr_1.0.0-1.ca2004.1_all.deb
Size: 557420
MD5sum: 30e2fb6b48ed3819a1f8ed93098134ad
SHA1: 24eda3f526c66c0fa9f74f9316d39ae6f038f421
SHA256: e04c2ea6f9411cbdfad504d273738af52e23181d5193335fb6f55c82b4b4a197
SHA512: cfdf0c47f66971ab5d26f96477d916e94261ee472c78269f0968f8ec64eec6b6775edfb672704c11785aa8319b8a4f5f21997651d21c5ce88ec331181d730eb6
Homepage: https://cran.r-project.org/package=nmrrr
Description: CRAN Package 'nmrrr' (Binning and Visualizing NMR Spectra in Environmental Samples)
 A reproducible workflow for binning and visualizing NMR (nuclear magnetic
 resonance) spectra from environmental samples. The 'nmrrr' package is
 intended for post-processing of NMR data, including importing, merging and,
 cleaning data from multiple files, visualizing NMR spectra, performing
 binning/integrations for compound classes, and relative abundance
 calculations.  This package can be easily inserted into existing analysis
 workflows by users to help with analyzing and interpreting NMR data.

Package: r-cran-nmsim
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4421
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-nmdata, r-cran-r.utils, r-cran-mass, r-cran-fst, r-cran-xfun
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggstance, r-cran-patchwork, r-cran-stringr, r-cran-tracee, r-cran-tidyvpc, r-cran-kableextra, r-cran-coveffectsplot, r-cran-nmcalc
Filename: pool/dists/focal/main/r-cran-nmsim_0.2.3-1.ca2004.1_all.deb
Size: 1946720
MD5sum: 2a9db112ca98bf096ec76482289aae1f
SHA1: 708c7cc873a9d86a54ecfb2fc65ca5ae88230f24
SHA256: 2c3d9a93dcd94ac75cd3be084c9104c178c3a2ec25094af40e325417984dbbc1
SHA512: e3f75c640f372793c821ebab093c6218dcb2ea1b44382ae148a965bd42e654b32884357b1881b43dc579ecea8ea3d7618e99eb9c8d9063aded808edce56d04ea
Homepage: https://cran.r-project.org/package=NMsim
Description: CRAN Package 'NMsim' (Seamless 'Nonmem' Simulation Platform)
 A complete and seamless 'Nonmem' simulation interface within R. Turns
 'Nonmem' control streams into simulation control streams, executes them with
 specified simulation input data and returns the results. The simulation is
 performed by 'Nonmem', eliminating manual work and risks of
 re-implementation of models in other tools.

Package: r-cran-nmtox
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gridextra, r-cran-dplyr, r-cran-ggplot2, r-cran-iso, r-cran-tidyr, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-nmtox_0.1.0-1.ca2004.1_all.deb
Size: 206676
MD5sum: d52c037bf91acb383e279fe871c34aaf
SHA1: bf37db7e17cf909c191e4051ccfa1de871134ae9
SHA256: ad91f1b26abfed233d5fd4624a47c4b74eb12085a0458a23dbfe290d1a898330
SHA512: c76d80fc79c0ae7eeb1c678baf9f6eefcc2e7e8fa0b32b508293ece7baa2ab81b566e84535cee034d6043959ad8e39df00c8695a12938c8c46b189a291abb11a
Homepage: https://cran.r-project.org/package=NMTox
Description: CRAN Package 'NMTox' (Dose-Response Relationship Analysis of Nanomaterial Toxicity)
 Perform an exploration and a preliminary analysis on the dose- response
 relationship of nanomaterial toxicity. Several functions are provided for
 data exploration, including functions for creating a subset of dataset,
 frequency tables and plots. Inference for order restricted dose- response
 data is performed by testing the significance of monotonic dose-response
 relationship, using Williams, Marcus, M, Modified M and Likelihood ratio
 tests. Several methods of multiplicity adjustment are also provided.
 Description of the methods can be found in
 <https://github.com/rahmasarina/dose-response-analysis/blob/main/Methodology.pdf>.

Package: r-cran-nmvanova
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nmvanova_1.1.0-1.ca2004.1_all.deb
Size: 22200
MD5sum: ad4379b1962521b33fc36cf4808aa42b
SHA1: 41c0774873399a38622907fc7dc55f37563392c3
SHA256: fdccf2cb889175bc513ab761a8efb70dc4b1746282c7fe2a3402950c708f737b
SHA512: f58864521aa8a73a1633342ea951279a2cd312661c3040ebf9f55bac8230bcacd927a56c4c854a281ba5f76d1e6013b4f858c227e3190f1e0326f3d7923cdcd5
Homepage: https://cran.r-project.org/package=NMVANOVA
Description: CRAN Package 'NMVANOVA' (Novice Model Variation ANOVA)
 Due to 'Rstudio's' status as open source software, we believe it will be
 utilized frequently for future data analysis by users whom lack formal
 training or experience with 'R'. The 'NMVANOVA' (Novice Model Variation
 ANOVA) a streamlined variation of experimental design functions that allows
 novice 'Rstudio' users to perform different model variations one-way
 analysis of variance without downloading multiple libraries or packages.
 Users can easily manipulate the data block, and needed inputs so that users
 only have to plugin the four designed variables/values.

Package: r-cran-nmw
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-nmw_0.1.5-1.ca2004.1_all.deb
Size: 226840
MD5sum: 6ff50410f13cf6d8215e0f6ce7a8c03f
SHA1: 5ec77ee9fecac998fd5afaa5d510414950d5d93e
SHA256: 5c9a62735ac7b0b29535fde25434109866ba5e6a2a9a0d755f53459de15ba5eb
SHA512: 45e19473facc69df616d76823951ca674e8ea86fc008475e450d458acdb3722e96f4859386f493e04f1a463fcdc062e5c02e75bbbc102a3dac819aa4d6377d98
Homepage: https://cran.r-project.org/package=nmw
Description: CRAN Package 'nmw' (Understanding Nonlinear Mixed Effects Modeling for PopulationPharmacokinetics)
 This shows how NONMEM(R) software works. NONMEM's classical estimation
 methods like 'First Order(FO) approximation', 'First Order Conditional
 Estimation(FOCE)', and 'Laplacian approximation' are explained.

Package: r-cran-nna
Architecture: all
Version: 0.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nna_0.0.2.1-1.ca2004.1_all.deb
Size: 11672
MD5sum: 879a5fdfe747e82749c04fc304452d78
SHA1: 0a547a9a076097855d632106fcb7adfc5764ac74
SHA256: 55944b03ad4af403addc4fdd9a6ef6c04521a52ecdffbd05ee9ed48653e55900
SHA512: 1b9ae47ca05e3043fdb4db20b3af281dce0a03403d8420ae9c19fab1b2534630f0f726d9d95c97eb83e52c0bc028fadec63ce055167e36ba6533e35453905f6f
Homepage: https://cran.r-project.org/package=nna
Description: CRAN Package 'nna' (Nearest-Neighbor Analysis)
 Calculates spatial pattern analysis using a T-square sample procedure.  This
 method is based on two measures "x" and "y".  "x" - Distance from the random
 point to the nearest individual.  "y" - Distance from individual to its
 nearest neighbor.  This is a methodology commonly used in phytosociology or
 marine benthos ecology to analyze the species' distribution (random, uniform
 or clumped patterns).  Ludwig & Reynolds (1988, ISBN:0471832359).

Package: r-cran-nnbenchmark
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1477
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-pkgload
Suggests: r-cran-brnn, r-cran-validann
Filename: pool/dists/focal/main/r-cran-nnbenchmark_3.2.0-1.ca2004.1_all.deb
Size: 1417408
MD5sum: e4ee4af342c6bc6e0d232d4758c693e6
SHA1: b112b71af42a1b21205553f50e8438b37a3a1bd8
SHA256: 78a6c62b90129e6058d3b2c929846712b41e0b60acc66d058405bc1e33a2d52d
SHA512: 68dc38b505e645379be8291834e70304c854453d90888ff3922495231b5fc9fa1abb2aa7ac8b016b7b8824e2253256344b33f9fe4eda53fe4ab558d59109dae4
Homepage: https://cran.r-project.org/package=NNbenchmark
Description: CRAN Package 'NNbenchmark' (Datasets and Functions to Benchmark Neural Network Packages)
 Datasets and functions to benchmark (convergence, speed, ease of use) R
 packages dedicated to regression with neural networks (no classification in
 this version). The templates for the tested packages are available in the R,
 R Markdown and HTML formats at
 <https://github.com/pkR-pkR/NNbenchmarkTemplates> and
 <https://theairbend3r.github.io/NNbenchmarkWeb/index.html>. The submitted
 article to the R-Journal can be read at
 <https://www.inmodelia.com/gsoc2020.html>.

Package: r-cran-nncc
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-tidyr, r-cran-igraph, r-cran-ggplot2, r-cran-cluster, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-future, r-cran-future.batchtools, r-cran-logistf, r-cran-mice, r-cran-survival
Filename: pool/dists/focal/main/r-cran-nncc_2.0.0-1.ca2004.1_all.deb
Size: 118620
MD5sum: d585dd6afe688d3b5d5eb5f187aeb2f7
SHA1: a22413347d137305eb723d2a1a40d05e53eab3ad
SHA256: 233c0b7db30113fa0057606861e25521e6616f08f98343ed7c6e26c4a15084e5
SHA512: 9b6d9bc3ab9de49d31bce0df42f3025ae093ff46a7d46f87fe7337b3599fcf429f469bbdad898d6a23109de10c51eaa0950565d3435065ddb18c9794fdaab3cc
Homepage: https://cran.r-project.org/package=nncc
Description: CRAN Package 'nncc' (Nearest Neighbors Matching of Case-Control Data)
 Provides nearest-neighbors matching and analysis of case-control data. Cui,
 Z., Marder, E. P., Click, E. S., Hoekstra, R. M., & Bruce, B. B. (2022)
 <doi:10.1097/EDE.0000000000001504>.

Package: r-cran-nndiagram
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2965
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nndiagram_1.0.0-1.ca2004.1_all.deb
Size: 2784060
MD5sum: e84515c7fda0db2ed380945d6313bbbd
SHA1: e12659dd3e31c3942bcb8207222e1ff9a927c856
SHA256: e590e098a2fb32d914e0851f316a5274838dd56c5d0e7907e733c3fc8d3c995b
SHA512: 798f783dfd5046e22a64b31d6643bea65ec70eb88e867efaec859bc0ad7719c0beb9c4c0523db7581cc74d285bf30071dc19318c27fde314588d3f4b32eebf09
Homepage: https://cran.r-project.org/package=nndiagram
Description: CRAN Package 'nndiagram' (Generator of 'LaTeX' Code for Drawing Neural Network Diagramswith 'TikZ')
 Generates 'LaTeX' code for drawing well-formatted neural network diagrams
 with 'TikZ'. Users have to define number of neurons on each layer, and
 optionally define neuron connections they would like to keep or omit, layers
 they consider to be oversized and neurons they would like to draw with
 lighter color. They can also specify the title of diagram, color, opacity of
 figure, labels of layers, input and output neurons. In addition, this
 package helps to produce 'LaTeX' code for drawing activation functions which
 are crucial in neural network analysis. To make the code work in a 'LaTeX'
 editor, users need to install and import some 'TeX' packages including
 'TikZ' in the setting of 'TeX' file.

Package: r-cran-nnfor
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-generics, r-cran-forecast, r-cran-glmnet, r-cran-neuralnet, r-cran-plotrix, r-cran-mass, r-cran-tsutils, r-cran-uroot
Suggests: r-cran-thief
Filename: pool/dists/focal/main/r-cran-nnfor_0.9.9-1.ca2004.1_all.deb
Size: 156452
MD5sum: 81dd047493b6199000322656cf69b086
SHA1: 0eed93acb5c3249caa021d74cd40e0c52e58d264
SHA256: f671e99dce0df4c52f92a67af97101faf709be62834aeb7bba16039843b104a4
SHA512: 75c03bf98ea411f57a86df7a974dbf5e9a0e60db20b786370d92a837f88eba145f10fbe508fc2429bb988bd3302119347b2bbed163331aaf55a0b8d08f1502b3
Homepage: https://cran.r-project.org/package=nnfor
Description: CRAN Package 'nnfor' (Time Series Forecasting with Neural Networks)
 Automatic time series modelling with neural networks.  Allows fully
 automatic, semi-manual or fully manual specification of networks. For
 details of the specification methodology see: (i) Crone and Kourentzes
 (2010) <doi:10.1016/j.neucom.2010.01.017>; and (ii) Kourentzes et al. (2014)
 <doi:10.1016/j.eswa.2013.12.011>.

Package: r-cran-nngarrote
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Suggests: r-cran-testthat, r-cran-mvnfast
Filename: pool/dists/focal/main/r-cran-nngarrote_1.0.4-1.ca2004.1_all.deb
Size: 45704
MD5sum: 4ba4d0532da421eb635303ee9e40e259
SHA1: 8114763f5b7de0f6cc4d878f5a6f32c3358af849
SHA256: 53c2a4124b86194eb2a336b6429a2658c2d3791a99fc12c81811fcf48e04a0f1
SHA512: 2466ba519c1c0396d2313adf3dde93305072d0f7d5993fa068cdf9574f725f37548f250e341a4f7af69152e456a0fb1792c33218c9da325bc776f63b616d676f
Homepage: https://cran.r-project.org/package=nnGarrote
Description: CRAN Package 'nnGarrote' (Non-Negative Garrote Estimation with Penalized InitialEstimators)
 Functions to compute the non-negative garrote estimator as proposed by
 Breiman (1995) <https://www.jstor.org/stable/1269730> with the penalized
 initial estimators extension as proposed by Yuan and Lin (2007)
 <https://www.jstor.org/stable/4623260>.

Package: r-cran-nnlasso
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nnlasso_0.3-1.ca2004.1_all.deb
Size: 118152
MD5sum: c787e9eca50bf65bb58d24fd95ef978e
SHA1: bfeb69815af81b41b425351ef021ddc2d49d7fc2
SHA256: 2a012d931d80b1ba54a92769f82289e9faec9b4b38be9283ba17fa19dd24e33f
SHA512: 813e6036c2284d1b5baa3f326f258ec55cf09d488d48eaea2919e2968c811d26a40457684be6440c573c393d2c8d5e59fedd6ac68d78b447aba78fa3014f79f3
Homepage: https://cran.r-project.org/package=nnlasso
Description: CRAN Package 'nnlasso' (Non-Negative Lasso and Elastic Net Penalized Generalized LinearModels)
 Estimates of coefficients of lasso penalized linear regression and
 generalized linear models subject to non-negativity constraints on the
 parameters using multiplicative iterative algorithm. Entire regularization
 path for a sequence of lambda values can be obtained. Functions are
 available for creating plots of regularization path, cross validation and
 estimating coefficients at a given lambda value. There is also provision for
 obtaining standard error of coefficient estimates.

Package: r-cran-nnmis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-nnmis_1.0.1-1.ca2004.1_all.deb
Size: 50380
MD5sum: 253ab3827db93f1921fc843bd3cbad9d
SHA1: fbef79997ed11a8b078ae8f034eb7220c87658e1
SHA256: 61e1c539c8fab97f84457af523360ee9c82a8583d1d305643eea873579857577
SHA512: 12aa5850d4b77baa344fc3410f16882f19caad1a8b939f81dbcc172570e125e1b250472b4b1433b6eb696086bfada034fc109096534d3903a5d86c5bf1f9ea2e
Homepage: https://cran.r-project.org/package=NNMIS
Description: CRAN Package 'NNMIS' (Nearest Neighbor Based Multiple Imputation for Survival Datawith Missing Covariates)
 Imputation for both missing covariates and censored observations (optional)
 for survival data with missing covariates by the nearest neighbor based
 multiple imputation algorithm as described in Hsu et al. (2006)
 <doi:10.1002/sim.2452>, and Hsu and Yu (2018) <doi:
 10.1177/0962280218772592>. Note that the current version can only impute for
 a situation with one missing covariate.

Package: r-cran-nnr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nnr_0.1.0-1.ca2004.1_all.deb
Size: 147324
MD5sum: af3d44373ea4c04e7b7875ba594c67c9
SHA1: 7a343ea21d4a8d7e8e2558848c2aa966f2baf2d6
SHA256: e0cd8bf4d092e8abac3dba49b675e52a65baffd11aaadb992776f0d33250e366
SHA512: a384b59726e20ec07567c6d4447b06f26381f09a54aea3113479e5e73b0b65d455673f9825ec7314216152292ed53caef824bba59606373e7d8fa65e2b38ae64
Homepage: https://cran.r-project.org/package=nnR
Description: CRAN Package 'nnR' (Neural Networks Made Algebraic)
 Do algebraic operations on neural networks. We seek here to implement in R,
 operations on neural networks and their resulting approximations. Our
 operations derive their descriptions mainly from Rafi S., Padgett, J.L., and
 Nakarmi, U. (2024), "Towards an Algebraic Framework For Approximating
 Functions Using Neural Network Polynomials",
 <doi:10.48550/arXiv.2402.01058>, Grohs P., Hornung, F., Jentzen, A. et al.
 (2023), "Space-time error estimates for deep neural network approximations
 for differential equations", <doi:10.1007/s10444-022-09970-2>, Jentzen A.,
 Kuckuck B., von Wurstemberger, P. (2023), "Mathematical Introduction to Deep
 Learning Methods, Implementations, and Theory"
 <doi:10.48550/arXiv.2310.20360>.  Our implementation is meant mainly as a
 pedagogical tool, and proof of concept. Faster implementations with deeper
 vectorizations may be made in future versions.

Package: r-cran-nnspat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1299
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-pcds, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-nnspat_0.1.2-1.ca2004.1_all.deb
Size: 1198960
MD5sum: bfac8fe979130a487fbf64257822cd89
SHA1: 2384470fd1c96b314d286dd5135c337c89be3ed9
SHA256: 8bb51bea356b1cae9b0bc498a7ab97519fd9fea9c50f3e1fc1d5caa7d9130bca
SHA512: 2ae43b6877bc198c4c5cea1965826fefebc33c1b13c6ae2e797f51f86cc154821e11715bab45c7312de726bfd7a0a35aadedaf11089c5a9a40f123782765d153
Homepage: https://cran.r-project.org/package=nnspat
Description: CRAN Package 'nnspat' (Nearest Neighbor Methods for Spatial Patterns)
 Contains the functions for testing the spatial patterns (of segregation,
 spatial symmetry, association, disease clustering, species correspondence,
 and reflexivity) based on nearest neighbor relations, especially using
 contingency tables such as nearest neighbor contingency tables (Ceyhan
 (2010) <doi:10.1007/s10651-008-0104-x> and Ceyhan (2017)
 <doi:10.1016/j.jkss.2016.10.002> and references therein), nearest neighbor
 symmetry contingency tables (Ceyhan (2014) <doi:10.1155/2014/698296>),
 species correspondence contingency tables and reflexivity contingency tables
 (Ceyhan (2018) <doi:10.2436/20.8080.02.72> for two (or higher) dimensional
 data.  The package also contains functions for generating patterns of
 segregation, association, uniformity in a multi-class setting (Ceyhan (2014)
 <doi:10.1007/s00477-013-0824-9>), and various non-random labeling patterns
 for disease clustering in two dimensional cases (Ceyhan (2014)
 <doi:10.1002/sim.6053>), and for visualization of all these patterns for the
 two dimensional data.  The tests are usually (asymptotic) normal z-tests or
 chi-square tests.

Package: r-cran-nnt
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-survrm2
Filename: pool/dists/focal/main/r-cran-nnt_0.1.4-1.ca2004.1_all.deb
Size: 27624
MD5sum: 651c36e2e96911dc7ee66b0975c84b74
SHA1: 16c3c4b021bbf94ce9ab0dd887f634aa3d7dec44
SHA256: 2293053ee4d721537ce8933ca201c9a97be7d0185433c5cef107ebeffefac32e
SHA512: dd58979f5d7ef95683e49df2a62c5c39e7751d8c56837b184f233290e84a6a1273b7d92892b34b60140fec45321fa3a93f5b101556bbc19687e9cae20fa7774d
Homepage: https://cran.r-project.org/package=nnt
Description: CRAN Package 'nnt' (The Number Needed to Treat (NNT) for Survival Endpoint)
 Estimate the NNT using the proposed method in Yang and Yin's paper (2019)
 <doi:10.1371/journal.pone.0223301>, in which the NNT-RMST (number needed to
 treat based on the restricted mean survival time) is defined as the RMST
 (restricted mean survival time) in the control group divided by the
 difference in RMSTs between the treatment and control groups up to a chosen
 time t.

Package: r-cran-nntbiomarker
Architecture: all
Version: 0.29.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-xtable, r-cran-stringr, r-cran-magrittr, r-cran-mvbutils
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-nntbiomarker_0.29.11-1.ca2004.1_all.deb
Size: 369336
MD5sum: 958c23792e020330307967de753d9be0
SHA1: 3d15d462b795ea0e95893328864f6df1aa63d5f9
SHA256: 3e1b60b4c7f20d06976544c441d945556d8ee0444efea1257ea04fa3c6aac5a9
SHA512: 3d58a68fc03c2e5c5d70307244c43a9cdd3b9e818b935d1b0c3cf8755fc292bcb8d050752a7e94f71cf3f39a3965a543aa260b81ebafa96cc36d9852e2e1ba59
Homepage: https://cran.r-project.org/package=NNTbiomarker
Description: CRAN Package 'NNTbiomarker' (Calculate Design Parameters for Biomarker Validation Studies)
 Helps a clinical trial team discuss the clinical goals of a well-defined
 biomarker with a diagnostic, staging, prognostic, or predictive purpose.
 From this discussion will come a statistical plan for a (non-randomized)
 validation trial.  Both prospective and retrospective trials are supported.
 In a specific focused discussion, investigators should determine the range
 of "discomfort" for the NNT, number needed to treat.  The meaning of the
 discomfort range, [NNTlower, NNTupper], is that within this range most
 physicians would feel discomfort either in treating or withholding
 treatment. A pair of NNT values bracketing that range, NNTpos and NNTneg,
 become the targets of the study's design.  If the trial can demonstrate that
 a positive biomarker test yields an NNT less than NNTlower, and that a
 negative biomarker test yields an NNT less than NNTlower, then the biomarker
 may be useful for patients. A highlight of the package is visualization of a
 "contra-Bayes" theorem, which produces criteria for retrospective
 case-controls studies.

Package: r-cran-nntensor
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-fields, r-cran-rtensor, r-cran-plot3d, r-cran-tagcloud, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nntensor_1.3.0-1.ca2004.1_all.deb
Size: 861384
MD5sum: 19e520ee0fcab09b4155e17a1d4d4343
SHA1: 18cf368eb6d668c2ff9e554fe90fcbf34a9af01b
SHA256: 4b14ac1fa6badb94e0742fabde77af0d664471bed893d8eeee6140d5f79388c7
SHA512: 639025c373c3c39ffc18cba83ec69a997fa0f1974eaf9db526f24dc0ce72a70214bf8286fb5db74c0706e42c084ccbb46b66e1af66cbaba952b9633601aea93e
Homepage: https://cran.r-project.org/package=nnTensor
Description: CRAN Package 'nnTensor' (Non-Negative Tensor Decomposition)
 Some functions for performing non-negative matrix factorization,
 non-negative CANDECOMP/PARAFAC (CP) decomposition, non-negative Tucker
 decomposition, and generating toy model data. See Andrzej Cichock et al
 (2009) and the reference section of GitHub README.md
 <https://github.com/rikenbit/nnTensor>, for details of the methods.

Package: r-cran-nntrf
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2598
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-neuralnettools, r-cran-fnn, r-cran-pracma
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggridges, r-cran-tidyr, r-cran-forcats, r-cran-mlr, r-cran-mlrcpo
Filename: pool/dists/focal/main/r-cran-nntrf_0.1.4-1.ca2004.1_all.deb
Size: 2463752
MD5sum: 12a93d830781ce19c32e30bcf3dbf4a5
SHA1: 9aedd5daab93c8b8a53b283747a143a38bbf64c0
SHA256: 3aa8703685346b2adfab1bbc57e4634808ece0e070edd80b8209714751ef4c6d
SHA512: 8afd4057e94f5a361e2ebfa133bc5118a75df721e879596f02df0acd13c57a56e5b77352772b99fb072467f2665c6228cb6747e8bbff54e04ad9ab789c74dedc
Homepage: https://cran.r-project.org/package=nntrf
Description: CRAN Package 'nntrf' (Supervised Data Transformation by Means of Neural Network HiddenLayer)
 A supervised transformation of datasets is performed.  The aim is similar to
 that of Principal Component Analysis (PCA), that is, to carry out data
 transformation and dimensionality reduction, but in a supervised way.  This
 is achieved by first training a 3-layer Multi-Layer Perceptron and then
 using the activations of the hidden layer as a transformation of the input
 features.  In fact, it takes advantage of the change of representation
 provided by the hidden layer of a neural network.  This can be useful as
 data pre-processing for Machine Learning methods in general, specially for
 those that do not work well with many irrelevant or redundant features.  It
 uses the nnet package under the hood.  Valls, J.M., Aler, R., Galvan, I.M.,
 and Camacho, D. (2021). "Supervised data transformation and dimensionality
 reduction with a 3-layer multi-layer perceptron for classification
 problems". <doi:10.1007/s12652-020-02841-y> Rumelhart, D.E., Hinton, G.E.
 and Williams, R.J. (1986) "Learning representations by back-propagating
 errors" <doi:10.1038/323533a0>.

Package: r-cran-no.ping.pong
Architecture: all
Version: 0.1.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1099
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-metafor, r-cran-mcmcglmm, r-cran-mass
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-no.ping.pong_0.1.8.7-1.ca2004.1_all.deb
Size: 1091656
MD5sum: 97a24a788159d85677b5ad9c3965be3c
SHA1: cd1aea300246513de48dc495a3249713bb05f78b
SHA256: 4fd77bec41e8bdd0d2feaa5cc7dde4bc8b99a9b3ab0091be23770670599da09b
SHA512: bb61ceee18de1219744581141fd87910caea97814915c49cb89ad4e49daa8e889d11bab1d6bc8827ee7345a2ee184fa82bd2e0c3dd4dad6b1551ee9845c59e46
Homepage: https://cran.r-project.org/package=NO.PING.PONG
Description: CRAN Package 'NO.PING.PONG' (Incorporating Previous Findings When Evaluating New Data)
 Functions for revealing what happens when effect size estimates from
 previous studies are taken into account when evaluating each new dataset in
 a study sequence. The analyses can be conducted for cumulative meta-analyses
 and for Bayesian data analyses. The package contains sample data for a wide
 selection of research topics. Jointly considering previous findings along
 with new data is more likely to result in correct conclusions than does the
 traditional practice of not incorporating previous findings, which often
 results in a back and forth ping-pong of conclusions when evaluating a
 sequence of studies.  O'Connor & Ermacora (2021, <doi:10.1037/cbs0000259>).

Package: r-cran-noaa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-noaa_1.0.0-1.ca2004.1_all.deb
Size: 34512
MD5sum: 44413293c81079531402338a9c0ecd42
SHA1: 774465fb6d8bdcecdf4063f04eb2f181cf04d7ee
SHA256: 082881c70cd22b1c707bdb74e7a73e6b0d86aecf2ed4e05e0d5c0c17e3c9cb1f
SHA512: 45a74078d31c563dc02d0f4f66fea667929aa5535d41333ddf82a8771c95490a74322b67d2aea7c418400c8607381b3262854e55f073355fd9cad1d0a194cacb
Homepage: https://cran.r-project.org/package=noaa
Description: CRAN Package 'noaa' (Accessing NOAA Climate Data Online)
 Fetch data from the National Oceanic and Atmospheric Administration Climate
 Data Online (NOAA CDO) <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>
 API including daily, monthly, and yearly climate summaries, radar data,
 climatological averages, precipitation data, annual summaries, storm events,
 and agricultural meteorology.

Package: r-cran-noaaoceans
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-httptest, r-cran-ggplot2, r-cran-maps, r-cran-mapdata
Filename: pool/dists/focal/main/r-cran-noaaoceans_0.3.0-1.ca2004.1_all.deb
Size: 117396
MD5sum: 543fe854b0abe0259be0a6c7a32b66d1
SHA1: 106a32ef0bc1e15ee22937dff5345d36e4f73760
SHA256: ec4675ff5de1e5a310a995c207fd5cf1a6d52f6a0a04e2e70b2624a4385a5b89
SHA512: 24740f3a4d511d406e579df314a89e88bd5dc789ee6e24a979cb47b53c479160787eab9e0b5a5c529e4f2204a53694135b18b3624396be52faafedfb62602af0
Homepage: https://cran.r-project.org/package=noaaoceans
Description: CRAN Package 'noaaoceans' (Collect Ocean Data from NOAA)
 Provides a small set of tools for collecting data from National Oceanic and
 Atmospheric Administration (NOAA) data sources.  The functions provided in
 the package are wrappers around NOAA's existing APIs which is found at
 <https://api.tidesandcurrents.noaa.gov/api/prod/>.

Package: r-cran-noaastormevents
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-choroplethr, r-cran-choroplethrmaps, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-hurricaneexposure, r-cran-lubridate, r-cran-maps, r-cran-magrittr, r-cran-plyr, r-cran-rcolorbrewer, r-cran-rcurl, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-viridis, r-cran-xml
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-noaastormevents_0.2.0-1.ca2004.1_all.deb
Size: 94696
MD5sum: e4dd314c3bab4cfb053fe3b32036e921
SHA1: 3df984581310c75676d56e0027d2300f95c14dca
SHA256: 7bfbdbef323184c7ad8763bbc107e96783848252982a627b6f1aa772fbf1365a
SHA512: b1ea8815dece2f03af563c93d7d963db9e13f0944c1eb675b41d771ef128464388484f828a8758ead6578d59e015a7637e1c5d5479843a17b807069d5098b9f5
Homepage: https://cran.r-project.org/package=noaastormevents
Description: CRAN Package 'noaastormevents' (Explore NOAA Storm Events Database)
 Allows users to explore and plot data from the National Oceanic and
 Atmospheric Administration (NOAA) Storm Events database through R for United
 States counties.  Functionality includes matching storm event listings by
 time and location to hurricane best tracks data. This work was supported by
 grants from the Colorado Water Center, the National Institute of
 Environmental Health Sciences (R00ES022631) and the National Science
 Foundation (1331399).

Package: r-cran-noah
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-hash, r-cran-digest, r-cran-assertthat, r-cran-purrr, r-cran-dplyr, r-cran-magrittr, r-cran-crayon, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-noah_0.1.0-1.ca2004.1_all.deb
Size: 165224
MD5sum: ca510c9535a1ed512f8208aec5cfa67c
SHA1: da08b079b2a34329806693c8e3c294f4f3805941
SHA256: 0159bdbf327c50ddfa69b01f565e97ffe1ddee2a405a994c8300c67a6b47835a
SHA512: 087619c63493bfa5605b3c57af93f067b7a3d8643ac6e054faa03ba216c11d6e41f0d1390505eaec0732bced8c018e453c3f2224d2cf5468c86db69dffe6e9e7
Homepage: https://cran.r-project.org/package=noah
Description: CRAN Package 'noah' (Create Unique Pseudonymous Animal Names)
 Generate pseudonymous animal names that are delightful and easy to remember
 like the Likable Leech and the Proud Chickadee. A unique pseudonym can be
 created for every unique element in a vector or row in a data frame.
 Pseudonyms can be customized and tracked over time, so that the same input
 is always assigned the same pseudonym.

Package: r-cran-nobbs
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-rjags, r-cran-coda, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scoringutils, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-nobbs_1.1.0-1.ca2004.1_all.deb
Size: 545672
MD5sum: 2d7c8aa4d366b85cf40177c3971fb062
SHA1: 40460c50baa786d480318303a9190eefb0849e18
SHA256: cff8538752307b4a7f0d99503a55cfd064fcd8bc542733bc2ca45694afa81d14
SHA512: 441cd1808be1742ba504ac00d8b1469778b3833fbef24028c7e9396a290be28c60a03558ce719c0cb9893cb3a434866cd4c872bb6f370dd7ddab79c52d063f2b
Homepage: https://cran.r-project.org/package=NobBS
Description: CRAN Package 'NobBS' (Nowcasting by Bayesian Smoothing)
 A Bayesian approach to estimate the number of occurred-but-not-yet-reported
 cases from incomplete, time-stamped reporting data for disease outbreaks.
 'NobBS' learns the reporting delay distribution and the time evolution of
 the epidemic curve to produce smoothed nowcasts in both stable and
 time-varying case reporting settings, as described in McGough et al. (2020)
 <doi:10.1371/journal.pcbi.1007735>.

Package: r-cran-noctua
Architecture: all
Version: 2.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-paws, r-cran-uuid
Suggests: r-cran-arrow, r-cran-bit64, r-cran-dplyr, r-cran-dbplyr, r-cran-testthat, r-cran-tibble, r-cran-vroom, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonify, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-noctua_2.6.2-1.ca2004.1_all.deb
Size: 676720
MD5sum: 64842d66a3cb8dc1ffec6726de40cd98
SHA1: b0bb30677c3bfc1bf4ffdca3768ac0a391be2e58
SHA256: b140ead44f20673bbf43a96a69eb40b67f8f2e66360a534443d8d1ad06371457
SHA512: bc80d6d8645c2a04d13cf37dc71ed1149a668212ecb96c4444ba324a477c0963cc0f09f655823b3b4f2bf8c41c3d4f1cfd72d141229422a5a46b7398ad3191c4
Homepage: https://cran.r-project.org/package=noctua
Description: CRAN Package 'noctua' (Connect to 'AWS Athena' using R 'AWS SDK' 'paws' ('DBI'Interface))
 Designed to be compatible with the 'R' package 'DBI' (Database Interface)
 when connecting to Amazon Web Service ('AWS') Athena
 <https://aws.amazon.com/athena/>.  To do this the 'R' 'AWS' Software
 Development Kit ('SDK') 'paws' <https://github.com/paws-r/paws> is used as a
 driver.

Package: r-cran-nodbi
Architecture: all
Version: 0.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 882
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringi, r-cran-jsonlite, r-cran-uuid, r-cran-jqr, r-cran-dbi, r-cran-v8, r-cran-r.utils
Suggests: r-cran-sofa, r-cran-elastic, r-cran-mongolite, r-cran-rsqlite, r-cran-duckdb, r-cran-rpostgres, r-cran-testthat, r-cran-withr, r-cran-callr, r-cran-webfakes, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-nodbi_0.13.1-1.ca2004.1_all.deb
Size: 735380
MD5sum: 23f3a36cbbdbb082822dfaccdd158a7a
SHA1: 1cff227b79065cc3d4a178ee360f01634ea60f3a
SHA256: b4c72fd0d6c899b05d2ffe666888137b2a320844621ab7da46e8dac4338666d1
SHA512: 174cbd64429302b59834a95f0b2294243360ba1553fe902f9262814bd0a29ac11e1f0b217762cad456e118bf20b1d370cc0977109d83f2bc1fd9cfb80070907b
Homepage: https://cran.r-project.org/package=nodbi
Description: CRAN Package 'nodbi' ('NoSQL' Database Connector)
 Simplified JSON document database access and manipulation, providing a
 common API across supported 'NoSQL' databases 'Elasticsearch', 'CouchDB',
 'MongoDB' as well as 'SQLite/JSON1', 'PostgreSQL', and 'DuckDB'.

Package: r-cran-node2vec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-word2vec, r-cran-rlist, r-cran-dplyr, r-cran-vctrs, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-node2vec_0.1.0-1.ca2004.1_all.deb
Size: 32000
MD5sum: d7441911880f1138fec19b33986cb78e
SHA1: ed6ca5a79500ad365a935b2c5c95d3df9db64ebf
SHA256: 0a3d432c1c78c78f54e5c370f25939b05b97d12c43eb3c0346aa610d4fabf4f6
SHA512: 9d5015ca642239d87a400f8cf970c20997beacd13e8a398936779a9e82ccaa731c2dade6033854f63787fac42e48e58d5f0b595ed81bbab286a932843df82c52
Homepage: https://cran.r-project.org/package=node2vec
Description: CRAN Package 'node2vec' (Algorithmic Framework for Representational Learning on Graphs)
 Given any graph, the 'node2vec' algorithm can learn continuous feature
 representations for the nodes, which can then be used for various downstream
 machine learning tasks.The techniques are detailed in the paper "node2vec:
 Scalable Feature Learning for Networks" by Aditya Grover, Jure
 Leskovec(2016),available at <arXiv:1607.00653>.

Package: r-cran-nodeharvest
Architecture: all
Version: 0.7-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-nodeharvest_0.7-3-1.ca2004.1_all.deb
Size: 84828
MD5sum: 0fb03e1e1d1c626a6caf8e9b94d7b93b
SHA1: 969e47604c77b9e27f954fa6ee775d2dab708282
SHA256: 2766805d82b406a40ef2420cb13eaa2ce9eecf8dd1d9065962624baf0f51c244
SHA512: 89f4561fd9c08c529017e0754781cc0e1356f6d5d28505745c0ac74f8cd86445b538e0b3d2e48816e1630d24160e318f5c50f6c19551c76b1420810481933120
Homepage: https://cran.r-project.org/package=nodeHarvest
Description: CRAN Package 'nodeHarvest' (Node Harvest for Regression and Classification)
 Node harvest is a simple interpretable tree-like estimator for
 high-dimensional regression and classification. A few nodes are selected
 from an initially large ensemble of nodes, each associated with a positive
 weight. New observations can fall into one or several nodes and predictions
 are the weighted average response across all these groups. The package
 offers visualization of the estimator. Predictions can return the nodes a
 new observation fell into, along with the mean response of training
 observations in each node, offering a simple explanation of the prediction.

Package: r-cran-nodiv
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-picante, r-cran-raster, r-cran-ape, r-cran-sp, r-cran-vegan
Suggests: r-cran-rcolorbrewer, r-cran-testthat, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-nodiv_1.4.2-1.ca2004.1_all.deb
Size: 509040
MD5sum: 28dcf1910b6f6077f0f9477c868efd12
SHA1: bdf067247cf7bccd48234a8a9d095a3a8f6096a5
SHA256: fcb45f8bd232d26249506b55a69b17e5f3f3e08197b4e6915e3822ee361bea62
SHA512: 9f60b66584d614ba1a1f1604b3d18b1fdbfa395a8fc51302c5334b57ffe8064843911643398a3539a498004456d621ba233b82b1a381fb4e53f39cb06ad0f6e7
Homepage: https://cran.r-project.org/package=nodiv
Description: CRAN Package 'nodiv' (Compares the Distribution of Sister Clades Through a Phylogeny)
 An implementation of the nodiv algorithm, see Borregaard, M.K., Rahbek, C.,
 Fjeldsaa, J., Parra, J.L., Whittaker, R.J. & Graham, C.H. 2014. Node-based
 analysis of species distributions. Methods in Ecology and Evolution 5(11):
 1225-1235. <DOI:10.1111/2041-210X.12283>. Package for phylogenetic analysis
 of species distributions. The main function goes through each node in the
 phylogeny, compares the distributions of the two descendant nodes, and
 compares the result to a null model. This highlights nodes where major
 distributional divergence have occurred. The distributional divergence for
 these nodes is mapped.

Package: r-cran-noegletalr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-noegletalr_0.2.1-1.ca2004.1_all.deb
Size: 27244
MD5sum: c9dd1e707017d837757a470de0c9511c
SHA1: 6f14b26c0ddeeb93ed38ca76e79dbcb78f6673f7
SHA256: 105fc9bd830658d06c89e7189aa714a6e12dc05adb2e75cc144e2535beb3afea
SHA512: 31d99d31c2918a691a53ab6c35dbffac495b0cf39775690935e62160c72bb070a89083b81f488c83dcd06ef9d111b9028955f604af0e99c5438188f8d5a82ffb
Homepage: https://cran.r-project.org/package=noegletalR
Description: CRAN Package 'noegletalR' (Tidy Tibbles of Noegletal)
 Work with data from <https://noegletal.dk> in a tidy manner. Tidy up
 previously downloaded data or retrieve new data directly from the comfort of
 R. You can also browse an up-to-date list of available data, including
 thorough variable descriptions.

Package: r-cran-nofrills
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nofrills_0.3.2-1.ca2004.1_all.deb
Size: 111488
MD5sum: 85771f5909eca98d29b8e2c651c697ba
SHA1: f8da48fbfc9d0bc13b435cc103720faf12c37654
SHA256: 63f3e16dff73d621796e9b6cb90b917f9900da7b10deded2a51f384e910141bf
SHA512: a275d24e8cda0b2dbf213b8a3ba55a1a08445429a7b8a736e8db64d376cfd0d383d2c4f881619e8f13a573cac036331ccc03d9c4573c8fca8273069bb40f792f
Homepage: https://cran.r-project.org/package=nofrills
Description: CRAN Package 'nofrills' (Low-Cost Anonymous Functions)
 Provides a compact variation of the usual syntax of function declaration, in
 order to support tidyverse-style quasiquotation of a function's arguments
 and body.

Package: r-cran-noia
Architecture: all
Version: 0.97.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-noia_0.97.3-1.ca2004.1_all.deb
Size: 170024
MD5sum: ed59dacf9ba69b8178293f1537e2f39a
SHA1: ff15bee5297867bbc2f9ea4105f790a104bced78
SHA256: 84df351c1f6a941f7fb8b448f6b1a7aab739a0c2d5044488dc2d2f3774bb1cf5
SHA512: 5f091d7b4c633b3644f30ffdb300fe0d67318efd6b903c9adf5fa107f4fb3b6ad08a6886dfcf0e0bc215b7765e842f5296f49f8b6df3412f4a9a93fb30bf98de
Homepage: https://cran.r-project.org/package=noia
Description: CRAN Package 'noia' (Implementation of the Natural and Orthogonal InterAction (NOIA)Model)
 The NOIA model, as described extensively in Alvarez-Castro & Carlborg
 (2007), is a framework facilitating the estimation of genetic effects and
 genotype-to-phenotype maps. This package provides the basic tools to perform
 linear and multilinear regressions from real populations (provided the
 phenotype and the genotype of every individuals), estimating the genetic
 effects from different reference points, the genotypic values, and the
 decomposition of genetic variances in a multi-locus, 2 alleles system. This
 package is presented in Le Rouzic & Alvarez-Castro (2008).

Package: r-cran-noise
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 832
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-preprocesscore
Filename: pool/dists/focal/main/r-cran-noise_1.0.2-1.ca2004.1_all.deb
Size: 816056
MD5sum: 98453b81f5e55b2f1708c27212ccd8d4
SHA1: 0dab0b5ed3e1d1f14e43bca665e6332f356733f9
SHA256: c89d57bc9df03762c8a20b9dd189a9d7f2cda6c314846a8a307264d9add91082
SHA512: 51a1c0cce88ee0041e02bcd89d1e89c3593de632190ba25b59de5b832f05b3e422c7c7bc2b592a976a8f4f11fde54698e009470e10cc2fd56835924122654bf1
Homepage: https://cran.r-project.org/package=noise
Description: CRAN Package 'noise' (Estimation of Intrinsic and Extrinsic Noise from Single-CellData)
 Functions to calculate estimates of intrinsic and extrinsic noise from the
 two-reporter single-cell experiment, as in Elowitz, M. B., A. J. Levine, E.
 D. Siggia, and P. S. Swain (2002) Stochastic gene expression in a single
 cell. Science, 297, 1183-1186.  Functions implement multiple estimators
 developed for unbiasedness or min Mean Squared Error (MSE) in Fu, A. Q. and
 Pachter, L. (2016). Estimating intrinsic and extrinsic noise from
 single-cell gene expression measurements. Statistical Applications in
 Genetics and Molecular Biology, 15(6), 447-471.

Package: r-cran-noisemodel
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-nnet, r-cran-e1071, r-cran-fnn, r-cran-classint, r-cran-ggplot2, r-cran-extdist, r-cran-lsr, r-cran-stringr, r-cran-rcolorbrewer, r-cran-rsnns, r-cran-c50
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-noisemodel_1.0.2-1.ca2004.1_all.deb
Size: 695392
MD5sum: 521b1f5e94192fcee574a182e4dddae7
SHA1: 852fcaa585f83481563b3ca78b71ba3922128ec4
SHA256: d1d606e6e4838a87ad0e6615381df419d277b12e8a03f66069242678a54c616e
SHA512: 9020f727f85d29a0a405cdb073d090e1669ebb8c7dde3495ef471320db135dc485faea38b51d956df5f8c7cfc4507e49f58cb5fdc1c91fabb1abe647bfedebeb
Homepage: https://cran.r-project.org/package=noisemodel
Description: CRAN Package 'noisemodel' (Noise Models for Classification Datasets)
 Implementation of models for the controlled introduction of errors in
 classification datasets. This package contains the noise models described in
 Saez (2022) <doi:10.3390/math10203736> that allow corrupting class labels,
 attributes and both simultaneously.

Package: r-cran-noisyce2
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-coda, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-noisyce2_1.1.0-1.ca2004.1_all.deb
Size: 55816
MD5sum: 7dae4eb7f7ea38c22ed484d0c4b710c2
SHA1: efce2242676018ef5e93a87637ff368e8209179b
SHA256: 42c7a9851dfc42e80420a746cb8cdad777885a7bdbd43c1ef219fa273b216bd4
SHA512: 7373e365ba0ebcd139710e4c839e18994258e057dc0733c796a7a1a6d0d25487633fc40465effea70b1eebbc2bb802f0dab33272a59bdb1243ba47520de5303d
Homepage: https://cran.r-project.org/package=noisyCE2
Description: CRAN Package 'noisyCE2' (Cross-Entropy Optimisation of Noisy Functions)
 Cross-Entropy optimisation of unconstrained deterministic and noisy
 functions illustrated in Rubinstein and Kroese (2004, ISBN:
 978-1-4419-1940-3) through a highly flexible and customisable function which
 allows user to define custom variable domains, sampling distributions,
 updating and smoothing rules, and stopping criteria. Several built-in
 methods and settings make the package very easy-to-use under standard
 optimisation problems.

Package: r-cran-noisyr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4465
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-bioc-preprocesscore, r-bioc-iranges, r-bioc-genomicranges, r-bioc-rsamtools, r-cran-philentropy, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-noisyr_1.0.0-1.ca2004.1_all.deb
Size: 1844504
MD5sum: cbe5659372b6624caa12599db25e4e9c
SHA1: c363bd67d07530a68012ca6b889004b368eb0f75
SHA256: 63f74389ae0f96fd3b8fcab899215b90f14c137978f39df0439d03a99d643694
SHA512: 497324cbb633853ae915ea3880fc460b2da6d6563d8ecdfe8270c317a867e5a12e7c35ac6d31d234267712b73b2e533e88df6ab19e2a11d18a722a2ff570ebae
Homepage: https://cran.r-project.org/package=noisyr
Description: CRAN Package 'noisyr' (Noise Quantification in High Throughput Sequencing Output)
 Quantifies and removes technical noise from high-throughput sequencing data.
 Two approaches are used, one based on the count matrix, and one using the
 alignment BAM files directly.  Contains several options for every step of
 the process, as well as tools to quality check and assess the stability of
 output.

Package: r-cran-noisysbm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1635
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-ggplot2, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-noisysbm_0.1.4-1.ca2004.1_all.deb
Size: 1445220
MD5sum: a635d3df26e28a493dd0dbd88a3109b4
SHA1: 3f3886431c03b65b04bd935fcafb4efeb44db9c2
SHA256: 3172c2a4ce3ce56e7e183e8910d9442e74d0a23fae8ab649d3fa83bbfe4e9750
SHA512: 503096fa24f3864ccf6fb3442bbb418dbfaeeb00c547bd7e484e7afb134bdc622542eb432d152e6c3e8b3ac2f0bed3db003289603fb0469203bd3b48f482c9b7
Homepage: https://cran.r-project.org/package=noisySBM
Description: CRAN Package 'noisySBM' (Noisy Stochastic Block Mode: Graph Inference by Multiple Testing)
 Variational Expectation-Maximization algorithm to fit the noisy stochastic
 block model to an observed dense graph and to perform a node clustering.
 Moreover, a graph inference procedure to recover the underlying binary
 graph. This procedure comes with a control of the false discovery rate. The
 method is described in the article "Powerful graph inference with false
 discovery rate control" by T. Rebafka, E. Roquain, F. Villers (2020)
 <arXiv:1907.10176>.

Package: r-cran-nolock
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-rstudioapi, r-cran-stringr, r-cran-ncmisc
Filename: pool/dists/focal/main/r-cran-nolock_1.1.0-1.ca2004.1_all.deb
Size: 28372
MD5sum: 6d3cf68d55b8bc9db7a63aa1c6bf9035
SHA1: 8d59e2dd281c0d97817578714fba673a845c9839
SHA256: 192efc04d3935aaa77dcfcb72e1843d87a29cc5190e61a1a3996c1cac945405f
SHA512: 2726cf1e175c174b1c974d0eca9b0d418654c40dcae7735eec6946de867fd7831b5169175fec7e8e3e5ce0cee61097b3b3ed7b55cbc5190b7b8a998576ad5dbf
Homepage: https://cran.r-project.org/package=nolock
Description: CRAN Package 'nolock' (Append 'WITH (NOLOCK)' to 'SQL' Queries, Get Packages in ActiveScript)
 Provides a suite of tools that can assist in enhancing the processing
 efficiency of 'SQL' and 'R' scripts.  - The 'libr_unused()' retrieves a
 vector of package names that are called within an 'R' script but are never
 actually used in the script.  - The 'libr_used()' retrieves a vector of
 package names actively utilized within an 'R' script; packages loaded using
 'library()' but not actually used in the script will not be included.  - The
 'libr_called()' retrieves a vector of all package names which are called
 within an 'R' script.  - 'nolock()' appends 'WITH (nolock)' to all tables in
 'SQL' queries. This facilitates reading from databases in scenarios where
 non-blocking reads are preferable, such as in high-transaction environments.

Package: r-cran-nombre
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 536
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fracture
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nombre_0.4.1-1.ca2004.1_all.deb
Size: 401608
MD5sum: e4e733d4f2455d0d80fcf4c7db68b579
SHA1: 1461c8ffb932b4ffd03aac4667c6fce19cdecdaf
SHA256: 34faa7cef07458bcdfe1bc1b820ee95436365300c504109452bbf80ed9f4ffec
SHA512: b515b4890183ca7555b68579b6af007806e51f188da26f6a0650fde26ee3f7bc8df3197d1f28ebb2cdf11baee51f14a2fa13eec4a2e4020af6b8abde0211ed1d
Homepage: https://cran.r-project.org/package=nombre
Description: CRAN Package 'nombre' (Number Names)
 Converts numeric vectors to character vectors of English number names.
 Provides conversion to cardinals, ordinals, numerators, and denominators.
 Supports negative and non-integer numbers.

Package: r-cran-nominallogisticbiplot
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mirt, r-cran-gmodels, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nominallogisticbiplot_0.2-1.ca2004.1_all.deb
Size: 199552
MD5sum: 584e0550d931ba3f5df38da6f7bcfff0
SHA1: 4fb514487c8bd89b80739135e7aed1819ffb0fb4
SHA256: 09ac188694ae3de24ad96b1e4d8fa562bf3708388c8b049827b269394fcdce60
SHA512: dc9cad2ae964c94d8a90f5ecaecba805d6a52253ac89223d5363a4f4e6ab2e703c0e639fde7aeee48acc160c2e43110a625c15a42098ac939ad729cccf448e46
Homepage: https://cran.r-project.org/package=NominalLogisticBiplot
Description: CRAN Package 'NominalLogisticBiplot' (Biplot representations of categorical data)
 Analysis of a matrix of polytomous items using Nominal Logistic Biplots
 (NLB) according to Hernandez-Sanchez and Vicente-Villardon (2013).  The NLB
 procedure extends the binary logistic biplot to nominal (polytomous) data.
 The individuals are represented as points on a plane and the variables are
 represented as convex prediction regions rather than vectors as in a
 classical or binary biplot.  Using the methods from Computational Geometry,
 the set of prediction regions is converted to a set of points in such a way
 that the prediction for each individual is established by its closest
 "category point". Then interpretation is based on distances rather than on
 projections.  In this package we implement the geometry of such a
 representation and construct computational algorithms for the estimation of
 parameters and the calculation of prediction regions.

Package: r-cran-nominatimlite
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-sf
Suggests: r-cran-arcgeocoder, r-cran-ggplot2, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidygeocoder
Filename: pool/dists/focal/main/r-cran-nominatimlite_0.4.2-1.ca2004.1_all.deb
Size: 210428
MD5sum: 5c77928f753561635c61fb4f60391ca7
SHA1: 0316b8e7af2a65476d0687c5618bac649aab93d1
SHA256: a5db2788b2e20ca73ce49b60cbd208c9034df20ecfa929b0fa3eeff81db959c2
SHA512: 0961033c8464485649d6ad0b4b093b41d196f704605aa125e5228acdb0d846be7eb7e21a594371c59488a135648bf226913461114584fedd90504a3c648e7480
Homepage: https://cran.r-project.org/package=nominatimlite
Description: CRAN Package 'nominatimlite' (Interface with 'Nominatim' API Service)
 Lite interface for getting data from 'OSM' service 'Nominatim'
 <https://nominatim.org/release-docs/latest/>. Extract coordinates from
 addresses, find places near a set of coordinates and return spatial objects
 on 'sf' format.

Package: r-cran-nomisr
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1814
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-dplyr, r-cran-httr, r-cran-rsdmx, r-cran-rlang, r-cran-snakecase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-purrr, r-cran-tidyr, r-cran-magrittr, r-cran-ggplot2, r-cran-scales, r-cran-readr
Filename: pool/dists/focal/main/r-cran-nomisr_0.4.7-1.ca2004.1_all.deb
Size: 740788
MD5sum: a5e83ece52f59587a7b45a465119bdfd
SHA1: 2e230e659a6fbddb04e170e6872e913d3e75e9b0
SHA256: e8a4e3b45d6b003c10823c9840ea0068e74f041a7383c856025ace6d1dcba1c2
SHA512: 2c1ec331e049d556390f5826d2738521d2efbb2bbac5e6167b1f8c235ee46b60e1431b79635bd8d6176f43221e3c65632cafd497273f24bdd77fdeab36b1d2ee
Homepage: https://cran.r-project.org/package=nomisr
Description: CRAN Package 'nomisr' (Access 'Nomis' UK Labour Market Data)
 Access UK official statistics from the 'Nomis' database.  'Nomis' includes
 data from the Census, the Labour Force Survey, DWP benefit statistics and
 other economic and demographic data from the Office for National Statistics,
 based around statistical geographies. See
 <https://www.nomisweb.co.uk/api/v01/help> for full API documentation.

Package: r-cran-nomnoml
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1288
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets, r-cran-png, r-cran-webshot2, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-v8, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinytest, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-nomnoml_0.3.0-1.ca2004.1_all.deb
Size: 236008
MD5sum: 0daabb0b5fb932b71e762516d138477b
SHA1: 3e936039607684320aec87fc5477c73fbc0a1ec3
SHA256: 5c1a395324c41c33f8a00cd55a9ec3e59a0d1a993e0055e9483c77dfa688d272
SHA512: e46e3e365591d766201dbefdaf7e96c137164bce6d79f1134dfef80a6daedbedffe281ffd6a795f46fe41fc16a6de38e0bd62d64df0beaa2b8c6cd1e67adabf9
Homepage: https://cran.r-project.org/package=nomnoml
Description: CRAN Package 'nomnoml' (Sassy 'UML' Diagrams)
 A tool for drawing sassy 'UML' (Unified Modeling Language) diagrams based on
 a simple syntax, see <https://www.nomnoml.com>. Supports styling, R Markdown
 and exporting diagrams in the PNG format. Note: you need a chromium based
 browser installed on your system.

Package: r-cran-nomogramex
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-rms
Filename: pool/dists/focal/main/r-cran-nomogramex_3.0-1.ca2004.1_all.deb
Size: 14196
MD5sum: 5d272aff6633aa076e5178bc1ad98412
SHA1: 91538e9ac9048fa5375c03554bcad20f91e2ff12
SHA256: b603e46e37ccf3f0172c13ace296339bb4cbcc14cb99e6040d89924d16768e81
SHA512: d3d576fa267af7e06ddc638f8c556a3590592a2afb541c50f983000f095be7261b81ee84fd75fa0a9b7d478e99452eae7a7bbe8a873788c735ae5e16894ac6da
Homepage: https://cran.r-project.org/package=nomogramEx
Description: CRAN Package 'nomogramEx' (Extract Equations from a Nomogram)
 A nomogram can not be easily applied, because it is difficult to calculate
 the points or even the survival probability.  The package, including a
 function of nomogramEx(), is to extract the polynomial equations to
 calculate the points of each variable, and the survival probability
 corresponding to the total points.

Package: r-cran-nomogramformula
Architecture: all
Version: 1.2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-do, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-nomogramformula_1.2.0.0-1.ca2004.1_all.deb
Size: 35020
MD5sum: 582113924652f1c815c5669c86dafb52
SHA1: b1f90034d1dea700f4cc7f0328c37f68591ac43a
SHA256: 9a1d7a6778e4bed473c1f164d814727b71d54a95c9bbe5bbf5078c986bc706c1
SHA512: fd793ec46199d3875379a2f1fe47a48b1b9275eec24bf8db6ae1581f0246ab593b68a68dd01c5cfff1154d8f63521070c15a4229f1f26a7362a2128ecbe37fa9
Homepage: https://cran.r-project.org/package=nomogramFormula
Description: CRAN Package 'nomogramFormula' (Calculate Total Points and Probabilities for Nomogram)
 A nomogram, which can be carried out in 'rms' package, provides a graphical
 explanation of a prediction process. However, it is not very easy to draw
 straight lines, read points and probabilities accurately. Even, it is hard
 for users to calculate total points and probabilities for all subjects.
 This package provides formula_rd() and formula_lp() functions to fit the
 formula of total points with raw data and linear predictors respectively by
 polynomial regression. Function points_cal() will help you calculate the
 total points. prob_cal() can be used to calculate the probabilities after
 lrm(), cph() or psm() regression.  For more complex condition, interaction
 or restricted cubic spine, TotalPoints.rms() can be used.

Package: r-cran-nomordr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nomordr_0.1-1.ca2004.1_all.deb
Size: 133644
MD5sum: 8b049b40b652037ff46068152580ea28
SHA1: 2ead3f31535ef91d6040acce1c755b1221dd427a
SHA256: d6683f4ba393dbff097d9d308adf207b4f9dad6e7e7df94b5fe62cd673d5aff8
SHA512: 5de702bb4cba865413fe9130f558bf06d374411192bee5d728b262f0e8fd2078a341f887143c802e708c8f76e1ee7a8d031c741a3fe9042792f1104690191854
Homepage: https://cran.r-project.org/package=nomordR
Description: CRAN Package 'nomordR' (Randomization Test for Sequences of Nominal Values)
 Implements the nomord_probe() function, which performs a statistical
 analysis on an input vector (sequence) of nominal (categorical) values.

Package: r-cran-noncompart
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-noncompart_0.7.0-1.ca2004.1_all.deb
Size: 562604
MD5sum: 49e071d9f762b566955e3d4964b76d63
SHA1: 5d44b8f09fb11e8b3542b022f01f62db38b2f5bd
SHA256: 3f3e770d93730822fdd758193f261b08fb4aac1bd53a46f5379f891d63aa1087
SHA512: e015280e5e6324c70cebe619a461b338df792f61d991f9c66f94c952240d847d92df1d58a7f956fe33282117e6676a4729ed4915afe2324a66ce95d2cdfe3d53
Homepage: https://cran.r-project.org/package=NonCompart
Description: CRAN Package 'NonCompart' (Noncompartmental Analysis for Pharmacokinetic Data)
 Conduct a noncompartmental analysis with industrial strength.  Some features
 are 1) Use of CDISC SDTM terms 2) Automatic or manual slope selection 3)
 Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4)
 Interval(partial) AUCs with 'linear' or 'log' interpolation method *
 Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data
 Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).

Package: r-cran-noncomplyr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-noncomplyr_1.0-1.ca2004.1_all.deb
Size: 56188
MD5sum: 8943c22caeac4d961cf3119e03628391
SHA1: 2958b784f4a8240fa2f435c11e99eecad3cc42ed
SHA256: 94be6de87127ed401fdcf6f73461f4df2d6cf10f63acc6443bd780dde276e099
SHA512: feefe78a2d9d78aeafe13ef400fbf87139a8b40c2986fb30c9934febb34886a19fb1222dbc37657e86990f6be25d5552b4080fef1e03aec0579d812aadcfb384
Homepage: https://cran.r-project.org/package=noncomplyR
Description: CRAN Package 'noncomplyR' (Bayesian Analysis of Randomized Experiments with Non-Compliance)
 Functions for Bayesian analysis of data from randomized experiments with
 non-compliance. The functions are based on the models described in Imbens
 and Rubin (1997) <doi:10.1214/aos/1034276631>. Currently only two types of
 outcome models are supported: binary outcomes and normally distributed
 outcomes. Models can be fit with and without the exclusion restriction
 and/or the strong access monotonicity assumption. Models are fit using the
 data augmentation algorithm as described in Tanner and Wong (1987)
 <doi:10.2307/2289457>.

Package: r-cran-nonet
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-randomforest, r-cran-ggplot2, r-cran-rlist, r-cran-glmnet, r-cran-tidyverse, r-cran-e1071, r-cran-purrr, r-cran-proc, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-clusterr
Filename: pool/dists/focal/main/r-cran-nonet_0.4.0-1.ca2004.1_all.deb
Size: 76056
MD5sum: 3d8cf867ca45c11b53fae4db39bd4b42
SHA1: 0c8c1e2e8c5a5e823521a5c6960465784bd1439b
SHA256: 0553a31a7dc89d788c6a040d0acf7b46ea6f9e526fcc948e2eb7a0076ce44b65
SHA512: 3cc75bb922c341a010679be4f7ae9b50e31b9982457af8b6ac6c1b713d79a99d1d68f4e3b29cee95a24c4ad62eec29b68bbdd07fd772a416ad1648c272cf8654
Homepage: https://cran.r-project.org/package=nonet
Description: CRAN Package 'nonet' (Weighted Average Ensemble without Training Labels)
 It provides ensemble capabilities to supervised and unsupervised learning
 models predictions without using training labels. It decides the relative
 weights of the different models predictions by using best models predictions
 as response variable and rest of the mo. User can decide the best model,
 therefore, It provides freedom to user to ensemble models based on their
 design solutions.

Package: r-cran-nonlineardotplot
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nonlineardotplot_0.5.0-1.ca2004.1_all.deb
Size: 50860
MD5sum: 2915f5c55159eb7209892edd3e29750c
SHA1: d069a738d0d28b37029ea6ad7820b849b7483817
SHA256: 1d699a87322b572b7ae82038fa688e375e90f21e569c1927b210353467bef481
SHA512: 27083caf82f9d149956438a07c66a37cdbb6f00e02841e9966445d316d429df596f929e1506bcd9319d3115ffd4f9b0d8354b7937a9f37026281be0b71d62f1b
Homepage: https://cran.r-project.org/package=nonLinearDotPlot
Description: CRAN Package 'nonLinearDotPlot' (Non Linear Dot Plots)
 Non linear dot plots are diagrams that allow dots of varying size to be
 constructed, so that columns with a large number of samples are reduced in
 height. Implementation of algorithm described in: Nils Rodrigues and Daniel
 Weiskopf, "Nonlinear Dot Plots", IEEE Transactions on Visualization and
 Computer Graphics, vol. 24, no. 1, pp. 616-625, 2018.
 <doi:10.1109/TVCG.2017.2744018>.

Package: r-cran-nonlinearicp
Architecture: all
Version: 0.1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-condindtests, r-cran-data.tree, r-cran-catools, r-cran-randomforest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nonlinearicp_0.1.2.1-1.ca2004.1_all.deb
Size: 58592
MD5sum: 6ce0bc86043f5925d5aa8f00426f95ad
SHA1: ad7880ffd579a6781b3a37777ac46ec32a2f2b20
SHA256: 686aa42d7737b4a5e66f560127538ceb89bbb6f8d6bca931f2f2cf41182a69e9
SHA512: 99dba44649b582244994169c864fdfbc73c8a39e2b3da7ea4843ec35604d9c43b082d06f725fbf436e3e9f2765edf5e59ed12f0032319370363b6d65341b6d2e
Homepage: https://cran.r-project.org/package=nonlinearICP
Description: CRAN Package 'nonlinearICP' (Invariant Causal Prediction for Nonlinear Models)
 Performs 'nonlinear Invariant Causal Prediction' to estimate the causal
 parents of a given target variable from data collected in different
 experimental or environmental conditions, extending 'Invariant Causal
 Prediction' from Peters, Buehlmann and Meinshausen (2016),
 <arXiv:1501.01332>, to nonlinear settings. For more details, see C.
 Heinze-Deml, J. Peters and N. Meinshausen: 'Invariant Causal Prediction for
 Nonlinear Models', <arXiv:1706.08576>.

Package: r-cran-nonlinearrdd
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quantreg, r-cran-rfast, r-cran-rdrobust, r-cran-rddensity, r-cran-lpdensity, r-cran-lpcde, r-cran-copula
Filename: pool/dists/focal/main/r-cran-nonlinearrdd_0.0.4-1.ca2004.1_all.deb
Size: 34568
MD5sum: 7cd65ce43d27d25ce08ed375590caf92
SHA1: 8d55249af5565ab5ec5fbaf4eb3f1620359b2ab8
SHA256: 0f2b635ad1004ace8ea946f6a8f863d38faa37202c2ae4e4689a3ee5e4bfa511
SHA512: 588c7c7eeb4bde200b2d26292d87bc843c537a139a109370c4e70fd151b44d81ea8524e3d456659342a5174bde0dc9fe1f9aaf716baafb67f0f5771cc8412f23
Homepage: https://cran.r-project.org/package=NonlinearRDD
Description: CRAN Package 'NonlinearRDD' (Nonlinear Regression Discontinuity Design)
 Estimation of the possibly nonlinear and non separable structural function
 in regression discontinuity designs with a continuous treatment variable.
 The method is based on Xie (2022) <arXiv:2204.08168>.

Package: r-cran-nonlineartsa
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-tsdyn, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-nonlineartsa_0.5.0-1.ca2004.1_all.deb
Size: 145824
MD5sum: a0540df596dc5a73b7767f1f0192133c
SHA1: 75eb5003569a5ee28f5a8138fc2e3050cef8d301
SHA256: 43d4a0991d27787b199e4593df5bfd69171c31bafa44662afebefcf7a7965a0b
SHA512: f2203995472bd229414641f484c856be5c2d7e13153c5cb53ad9779ffcecdf7b9421572864d73a93ce292e47ee344223bcc6b42b9c6ca01190cb56ee4fffe412
Homepage: https://cran.r-project.org/package=NonlinearTSA
Description: CRAN Package 'NonlinearTSA' (Nonlinear Time Series Analysis)
 Function and data sets in the book entitled "Nonlinear Time Series Analysis
 with R Applications" B.Guris (2020). The book will be published in Turkish
 and the original name of this book will be "R Uygulamali Dogrusal Olmayan
 Zaman Serileri Analizi". It is possible to perform nonlinearity tests,
 nonlinear unit root tests, nonlinear cointegration tests and estimate
 nonlinear error correction models by using the functions written in this
 package. The Momentum Threshold Autoregressive (MTAR), the Smooth Threshold
 Autoregressive (STAR) and the Self Exciting Threshold Autoregressive (SETAR)
 type unit root tests can be performed using the functions written. In
 addition, cointegration tests using the Momentum Threshold Autoregressive
 (MTAR), the Smooth Threshold Autoregressive (STAR) and the Self Exciting
 Threshold Autoregressive (SETAR) models can be applied. It is possible to
 estimate nonlinear error correction models. The Granger causality test
 performed using nonlinear models can also be applied.

Package: r-cran-nonmem2r
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3613
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-mvtnorm, r-cran-lattice, r-cran-latticeextra, r-cran-mass, r-cran-splines2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nonmem2r_0.2.5-1.ca2004.1_all.deb
Size: 2327420
MD5sum: cee7432246ecb067e3c2c89ee01977c8
SHA1: dfb10d9434104a6854dcc00841edd97cb0bce83d
SHA256: f79e2d15c470498ef0a3e686ba70e62485c6711b1a9529cba7e43dfa8b3bcb15
SHA512: e64050ee85c804832e1dfd9d984c59147fe706cbabe75db392c6a0bedfce44bf68ae31cf9fa4526298127e8ecd20106c4c74331b217db8626daecfbf4eb82415
Homepage: https://cran.r-project.org/package=nonmem2R
Description: CRAN Package 'nonmem2R' (Loading NONMEM Output Files with Functions for Visual PredictiveChecks (VPC) and Goodness of Fit (GOF) Plots)
 Loading NONMEM (NONlinear Mixed-Effect Modeling,
 <https://www.iconplc.com/solutions/technologies/nonmem/>) and PSN
 (Perl-speaks-NONMEM, <https://uupharmacometrics.github.io/PsN/>) output
 files to extract parameter estimates, provide visual predictive check (VPC)
 and goodness of fit (GOF) plots, and simulate with parameter uncertainty.

Package: r-cran-nonmemica
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2787
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-xml2, r-cran-encode, r-cran-csv, r-cran-spec, r-cran-lazyeval, r-cran-metaplot, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-pander, r-cran-knitr, r-cran-wrangle, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nonmemica_1.0.11-1.ca2004.1_all.deb
Size: 763544
MD5sum: 9a7a630ae10bfa9d02fa630d2c1c977e
SHA1: c174622d33348f60af6f65e0de21a860fc2c4463
SHA256: 958898171d657c5c93734e46b8fe9a60ef13722dbc71ffd31e1b726bc3034555
SHA512: 097eae469bf77284c0ce69b4d8b10caa010a735bade50f0ee01c00f03c005712e00559972614199fc08a580baabb985036a8d8073802044978337a9a69da4496
Homepage: https://cran.r-project.org/package=nonmemica
Description: CRAN Package 'nonmemica' (Create and Evaluate NONMEM Models in a Project Context)
 Systematically creates and modifies NONMEM(R) control streams. Harvests
 NONMEM output, builds run logs, creates derivative data, generates
 diagnostics.  NONMEM (ICON Development Solutions <https://www.iconplc.com/>)
 is software for nonlinear mixed effects modeling. See 'package?nonmemica'.

Package: r-cran-nonnest2
Architecture: all
Version: 0.5-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-compquadform, r-cran-mvtnorm, r-cran-lavaan, r-cran-sandwich
Suggests: r-cran-mirt, r-cran-openmx, r-cran-tidysem, r-cran-aer, r-cran-mass, r-cran-faraway, r-cran-mlogit, r-cran-ordinal, r-cran-pscl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nonnest2_0.5-8-1.ca2004.1_all.deb
Size: 282756
MD5sum: 862123b3e54b651b317a41599bdc200d
SHA1: 62e9ae86c3da9b7a0f6e0abe7433126216e9ae5b
SHA256: a876ff048c99e2213d8168afa09e958bed435a6b8d525db83f7dd1a1ef697aa5
SHA512: 6d52562af9864fb254d587c7edf5da2f73cd8f4f534cfa3fae2571507874f06ee0e6843878f9069330e3fd49fd0d4f4a783ca494a7b15930d1453b57ace34e5a
Homepage: https://cran.r-project.org/package=nonnest2
Description: CRAN Package 'nonnest2' (Tests of Non-Nested Models)
 Testing non-nested models via theory supplied by Vuong (1989)
 <DOI:10.2307/1912557>.  Includes tests of model distinguishability and of
 model fit that can be applied to both nested and non-nested models. Also
 includes functionality to obtain confidence intervals associated with AIC
 and BIC. This material is partially based on work supported by the National
 Science Foundation under Grant Number SES-1061334.

Package: r-cran-nonnormvtdist
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-nonnormvtdist_1.0.2-1.ca2004.1_all.deb
Size: 146164
MD5sum: aee04b99f3a8a9bd44570bb67e0bc0f7
SHA1: c8b80dec506ed73c36be8dce6b00ecea47c3e056
SHA256: a09f5335e4ba8863f217958c62257ea4e1690e08db3b64edbae07d1abad7e5bd
SHA512: 69094bba3ebf4c96e04f80b2ee59785d2698c342e23060bc10fb99b1f239c72384939dc6cbfb430e376947de5f1c28fa6fdb4a32a5ceeec2b184e7060a6e6bdf
Homepage: https://cran.r-project.org/package=NonNorMvtDist
Description: CRAN Package 'NonNorMvtDist' (Multivariate Lomax (Pareto Type II) and Its RelatedDistributions)
 Implements calculation of probability density function, cumulative
 distribution function, equicoordinate quantile function and survival
 function, and random numbers generation for the following multivariate
 distributions: Lomax (Pareto Type II), generalized Lomax, Mardia’s Pareto of
 Type I, Logistic, Burr, Cook-Johnson’s uniform, F and Inverted Beta. See
 Tapan Nayak (1987) <doi:10.2307/3214068>.

Package: r-cran-nonpar
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nonpar_1.0.2-1.ca2004.1_all.deb
Size: 41028
MD5sum: dd8994ac93ac62d15543b20330bed3ff
SHA1: 54541ccec2b44bc304a7d6c73d9f16ef799cb07e
SHA256: edc30de3dda047008434ea6344c181c30c4e2931c57f991a6ce60a16e7e5b691
SHA512: 747b365719efcf364775830b02a86f95c4160ea5456781e7e4345d156928b8af9bba539ebab4f878a958eb6a732ef49accc26674ee5e5441c1d9eb6dd4480fdb
Homepage: https://cran.r-project.org/package=nonpar
Description: CRAN Package 'nonpar' (A Collection of Nonparametric Hypothesis Tests)
 Contains the following 5 nonparametric hypothesis tests: The Sign Test, The
 2 Sample Median Test, Miller's Jackknife Procedure, Cochran's Q Test, & The
 Stuart-Maxwell Test.

Package: r-cran-nonparaeff
Architecture: all
Version: 0.5-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-geometry, r-cran-hmisc, r-cran-lpsolve
Suggests: r-cran-pwt, r-cran-psych
Filename: pool/dists/focal/main/r-cran-nonparaeff_0.5-13-1.ca2004.1_all.deb
Size: 116140
MD5sum: 6a8fce5f7ac206cfb1ece139e1f77d05
SHA1: 328134c8b66bd4a89d90447b9478d42c2e43f809
SHA256: 6b7cb171de153af1f0821d587dd9ec7369c096d2038c697e755463dccf82b815
SHA512: 9d10bd00ca147335f56234e2ee16d72c143da351ff158464bdb0ddf83fd7299bb670cb5afa5dd5ccf4f648328904b57222df64d1c7c1a33465a2a3a9e83d25c6
Homepage: https://cran.r-project.org/package=nonparaeff
Description: CRAN Package 'nonparaeff' (Nonparametric Methods for Measuring Efficiency and Productivity)
 Efficiency and productivity indices are measured using this package. This
 package contains functions for measuring efficiency and productivity of
 decision making units (DMUs) under the framework of Data Envelopment
 Analysis (DEA) and its variations.

Package: r-cran-nonparametric.bayes
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-progress
Filename: pool/dists/focal/main/r-cran-nonparametric.bayes_0.0.1-1.ca2004.1_all.deb
Size: 48748
MD5sum: 09b52104a638b5022053dafa63d80cdc
SHA1: ffdc8b2a93dc471a96606f38b9f0631de5872bd0
SHA256: dc86e66caec5304707a3735c3fc16a525ed73259e5fb7a2beb737dbcee91dd99
SHA512: 63a6c40ec9e1debf2bb349683e2f9543e16b7b30e56ce5d31331ebaa25382758417224a10b1108b129633ab0e65986b02b5fb5c7a808b758b38f83ff7bb4bf4a
Homepage: https://cran.r-project.org/package=nonparametric.bayes
Description: CRAN Package 'nonparametric.bayes' (Project Code - Nonparametric Bayes)
 Basic implementation of a Gibbs sampler for a Chinese Restaurant Process
 along with some visual aids to help understand how the sampling works. This
 is developed as part of a postgraduate school project for an Advanced
 Bayesian Nonparametric course. It is inspired by Tamara Broderick's
 presentation on Nonparametric Bayesian statistics given at the Simons
 institute.

Package: r-cran-nonpareil
Architecture: all
Version: 3.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nonpareil_3.5.3-1.ca2004.1_all.deb
Size: 187636
MD5sum: f08ce4c5835e13f7c74db99a19c1b52b
SHA1: ace78046d9bece0ad7009100b8c45be71a289ecb
SHA256: d59d4dc5c3fa2d295653dd4b8360f00371517928752fa9f5a4a438d48ddd67f8
SHA512: d95e75cb17013a7a66b3fcb098ba24ec48b2321a2965e93b8caec07906bcd73c4afd02fc2e616f9da2e4d292f3c748153ce3f199299cc4bea19d9ea57b3b0863
Homepage: https://cran.r-project.org/package=Nonpareil
Description: CRAN Package 'Nonpareil' (Metagenome Coverage Estimation and Projections for 'Nonpareil')
 Plot, process, and analyze NPO files produced by 'Nonpareil'
 <http://enve-omics.ce.gatech.edu/nonpareil/>.

Package: r-cran-nonparrolcor
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gtools, r-cran-pracma, r-cran-colorspace, r-cran-doparallel, r-cran-foreach, r-cran-scales
Filename: pool/dists/focal/main/r-cran-nonparrolcor_0.8.0-1.ca2004.1_all.deb
Size: 91036
MD5sum: 6d192db90123ffa0ec3a1d0369e96777
SHA1: d86a2100b2d9de13cde7b6e46367a0f926f54b79
SHA256: cfd021d9b4a80886fb1b0bd3acd55b99ec7b0171a3d6c1b8d830810315e9ff0b
SHA512: 989653e20d2916ec52822cea01faa23570336b1196f0a911af40eab53542a2312b0188db9422c30f5ec7cb89819c5f02a8f147abbdf87728dac847c90c3bb9f8
Homepage: https://cran.r-project.org/package=NonParRolCor
Description: CRAN Package 'NonParRolCor' (a Non-Parametric Statistical Significance Test for RollingWindow Correlation)
 Estimates and plots (as a single plot and as a heat map) the rolling window
 correlation coefficients between two time series and computes their
 statistical significance, which is carried out through a non-parametric
 computing-intensive method. This method addresses the effects due to the
 multiple testing (inflation of the Type I error) when the statistical
 significance is estimated for the rolling window correlation coefficients.
 The method is based on Monte Carlo simulations by permuting one of the
 variables (e.g., the dependent) under analysis and keeping fixed the other
 variable (e.g., the independent). We improve the computational efficiency of
 this method to reduce the computation time through parallel computing. The
 'NonParRolCor' package also provides examples with synthetic and real-life
 environmental time series to exemplify its use. Methods derived from R.
 Telford (2013) <https://quantpalaeo.wordpress.com/2013/01/04/> and J.M.
 Polanco-Martinez and J.L. Lopez-Martinez (2021)
 <doi:10.1016/j.ecoinf.2021.101379>.

Package: r-cran-nonprobest
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-sampling, r-cran-e1071, r-cran-glmnet, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-nonprobest_0.2.4-1.ca2004.1_all.deb
Size: 194048
MD5sum: b23568ab8aa9b04fb6c0374e6a9e3be1
SHA1: eae05f58eec4be47f93b422b824d62fa2cc640a6
SHA256: a567b9f9ab75a1c3e6483e29bc90e2d0b56041ac1b25b3235f8e739e41d752a1
SHA512: 5d1bf67a86072e43948c72b690785872c398a4d034a6cd576d1bb61868c123553a2e2835b04840a66603ac39a14e51aeb92889821d9ab1ecb9a844a5019d1d05
Homepage: https://cran.r-project.org/package=NonProbEst
Description: CRAN Package 'NonProbEst' (Estimation in Nonprobability Sampling)
 Different inference procedures are proposed in the literature to correct for
 selection bias that might be introduced with non-random selection
 mechanisms. A class of methods to correct for selection bias is to apply a
 statistical model to predict the units not in the sample (super-population
 modeling). Other studies use calibration or Statistical Matching
 (statistically match nonprobability and probability samples). To date, the
 more relevant methods are weighting by Propensity Score Adjustment (PSA).
 The Propensity Score Adjustment method was originally developed to construct
 weights by estimating response probabilities and using them in
 Horvitz–Thompson type estimators. This method is usually used by combining a
 non-probability sample with a reference sample to construct propensity
 models for the non-probability sample. Calibration can be used in a
 posterior way to adding information of auxiliary variables.  Propensity
 scores in PSA are usually estimated using logistic regression models.
 Machine learning classification algorithms can be used as alternatives for
 logistic regression as a technique to estimate propensities.  The package
 'NonProbEst' implements some of these methods and thus provides a wide
 options to work with data coming from a non-probabilistic sample.

Package: r-cran-nonsmooth
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3098
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-np, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-nonsmooth_1.0.0-1.ca2004.1_all.deb
Size: 3137624
MD5sum: 9648d0cc620d7f26b62016de28eeec58
SHA1: 548a775c71b4889c7536682c584f02bc511ceeda
SHA256: bd05df2c11464552ff9c25b7b7ec430ace838c403593e761b6603fbda8fa2fd8
SHA512: 61b764c7bdcc693a89cd5bc470e39ffdaa23921c871f02b92731f8e33332824024c358398d4fcd466d5b048d8df0468b19c4431c78babe04b739c840a82924f5
Homepage: https://cran.r-project.org/package=nonsmooth
Description: CRAN Package 'nonsmooth' (Nonparametric Methods for Smoothing Nonsmooth Data)
 Nonparametric methods for smoothing regression function data with
 change-points, utilizing range kernels for iterative and anisotropic
 smoothing methods. For further details, see the paper by John R.J. Thompson
 (2024) <doi:10.1080/02664763.2024.2352759>.

Package: r-cran-nonstat
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nonstat_0.0.6-1.ca2004.1_all.deb
Size: 17056
MD5sum: c2cf9da698bc9376459f542d33d3106b
SHA1: 2edda964e23133669d6d97b7b2e448b7bf4ba611
SHA256: 73d0f0963e8abe8104dcd2f88dcd07febac506111ec51cf4e2cbaa69f291bad7
SHA512: a4e1d0cd46008fdd4164077cd20e77b605e9555dff2c0293fdd087658d815ee12c3366730aeb1ffd0785f5bcc4471671442b549b81440caa4ff787dab402e5cb
Homepage: https://cran.r-project.org/package=nonstat
Description: CRAN Package 'nonstat' (Detecting Nonstationarity in Time Series)
 Provides a nonvisual procedure for screening time series for nonstationarity
 in the context of intensive longitudinal designs, such as ecological
 momentary assessments. The method combines two diagnostics: one for
 detecting trends (based on the split R-hat statistic from Bayesian
 convergence diagnostics) and one for detecting changes in variance (a novel
 extension inspired by Levene's test). This approach allows researchers to
 efficiently and reproducibly detect violations of the stationarity
 assumption, especially when visual inspection of many individual time series
 is impractical. The procedure is suitable for use in all areas of research
 where time series analysis is central. For a detailed description of the
 method and its validation through simulations and empirical application, see
 Zitzmann, S., Lindner, C., Lohmann, J. F., & Hecht, M. (2024) "A Novel
 Nonvisual Procedure for Screening for Nonstationarity in Time Series as
 Obtained from Intensive Longitudinal Designs"
 <https://www.researchgate.net/publication/384354932_A_Novel_Nonvisual_Procedure_for_Screening_for_Nonstationarity_in_Time_Series_as_Obtained_from_Intensive_Longitudinal_Designs>.

Package: r-cran-nopp
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mlogit, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nopp_1.1.2-1.ca2004.1_all.deb
Size: 255216
MD5sum: 14fd4cc535dfc4df416f691fd191fe7a
SHA1: 7875c34c54127fbf4ee1e85267b73d41ce2e940e
SHA256: 090bcea116f3766480b07d353dd48ac5ad48b536e05fd5d72c960be8c134b91f
SHA512: 05e9989ee90a123fe2cec2afff86f665d883f4f687b3095afb4181ce130857521d8e65f6eeab88f65039ddced84046635e314e84ad06a3a9312a7513a7b5456f
Homepage: https://cran.r-project.org/package=nopp
Description: CRAN Package 'nopp' (Nash Optimal Party Positions)
 Estimation of party/candidate ideological positions that correspond to a
 Nash equilibrium along a one-dimensional space.

Package: r-cran-nor1mix
Architecture: all
Version: 1.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-cluster, r-cran-copula
Filename: pool/dists/focal/main/r-cran-nor1mix_1.3-3-1.ca2004.1_all.deb
Size: 128100
MD5sum: 8031bf05e36f54e8d31b1fd54664913e
SHA1: 333f81b494174afebf3a8961efef6f9bc1ba7dd6
SHA256: 3ff3fc1c3580e7c2f6c7192cf3fe6e8389df5398399aa6e5b43c8eec4a0b429f
SHA512: e39bcda357cce076ecdde04db3fa2e692fc9fc7fc32c96528d6752ab1073a221e5bb61a98f72f5591d1da4f53f6e46112999b30701eb5e61e0cf151408d02bf3
Homepage: https://cran.r-project.org/package=nor1mix
Description: CRAN Package 'nor1mix' (Normal aka Gaussian 1-d Mixture Models)
 Onedimensional Normal (i.e. Gaussian) Mixture Models (S3) Classes, for,
 e.g., density estimation or clustering algorithms research and teaching;
 providing the widely used Marron-Wand densities.  Efficient random number
 generation and graphics. Fitting to data by efficient ML (Maximum
 Likelihood) or traditional EM estimation.

Package: r-cran-nord
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nord_1.0.0-1.ca2004.1_all.deb
Size: 43880
MD5sum: 82432dc585288dca52e39af725fedbb4
SHA1: 4e9b5d556a00f671638ddd1f723bcdd33e6f1537
SHA256: 3a242d5586022ef3a5bca07bd0db58c1a946823e46b7107e6d887a5856c94f2e
SHA512: 9ae0524f3705d245edf0b1e595b871ed8e7eb0ba87697cad522486fc634cf04e3c918e41316bec333629fda67f9e0de19cc689d8350cc5b34a16c5d9179b373a
Homepage: https://cran.r-project.org/package=nord
Description: CRAN Package 'nord' (Arctic Ice Studio's Nord and Group of Seven Inspired ColourPalettes for 'ggplot2')
 Provides the Arctic Ice Studio's Nord and Group of Seven inspired colour
 palettes for use with 'ggplot2' via custom functions.

Package: r-cran-nordklimdata1
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nordklimdata1_1.2-1.ca2004.1_all.deb
Size: 821908
MD5sum: 29d6944a2f6bd6850866686423625790
SHA1: e4ea86a8a0b755a346ab905c413714ffad16a69f
SHA256: 6aa7c4c11e8f7790b80e89c07c74b30c6c509c3b74e45228fa3429a494bb573b
SHA512: 6ea0dc8f9e715e1532f5231d6dcc02bc1a78bf2a194d9f1beb73e6478d87bd3201e325c130f457a53a189f02ed83b2a799025f1457b56107e84b3fd7379d8491
Homepage: https://cran.r-project.org/package=nordklimdata1
Description: CRAN Package 'nordklimdata1' (Dataset for Climate Analysis with Data from the Nordic Region)
 The Nordklim dataset 1.0 is a unique and useful achievement for climate
 analysis. It includes observations of twelve different climate elements from
 more than 100 stations in the Nordic region, in time span over 100 years.
 The project contractors were NORDKLIM/NORDMET on behalf of the National
 meteorological services in Denmark (DMI), Finland (FMI), Iceland (VI),
 Norway (DNMI) and Sweden (SMHI).

Package: r-cran-norgeo
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-odbc, r-cran-dbi, r-cran-magrittr, r-cran-rsqlite, r-cran-writexl, r-cran-httr2
Suggests: r-cran-testthat, r-cran-pkgdown, r-cran-vcr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-norgeo_2.3.1-1.ca2004.1_all.deb
Size: 409868
MD5sum: fb3a2a96b653b96df1b583dc6d8f9a10
SHA1: b2b77b438e0ccfeff4192e109f33b9d4e0dee8f4
SHA256: a133dc7690ae4790acfa0b3bc5d34b8bdb39254d445773681b424145f463121a
SHA512: ab903e2e6031fed17bf7e1837eaaab3b5ed5b7b68d7e151b7bc9a020f3cf62be9c735e55ded14e25957f7495012599f75bc8d55d8b378cae7f46ccc3671e647c
Homepage: https://cran.r-project.org/package=norgeo
Description: CRAN Package 'norgeo' (Tracking Geo Code Change of Regional Granularity in Norway)
 Regional granularity levels in Norway which are depicted by different codes,
 have undergone several changes over the years.  Identifying when codes have
 changed and how many changes have taken place can be troublesome. This
 package will help to identify these changes and when the changes have taken
 place. One of the limitation of this package is that it is heavily depending
 on the codes available from SSB website
 <https://data.ssb.no/api/klass/v1/api-guide.html>.

Package: r-cran-norma
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-norma_0.1-1.ca2004.1_all.deb
Size: 46316
MD5sum: 12e1c58ccdcad7757a8a1be523eb2ee7
SHA1: 5bfd4c4a01ad3fe981473fb084e900a3b35efd85
SHA256: 1ef44f773916a829c5bd34b0595a68327de70d9e2b0a5a0fa3df853e42d03837
SHA512: 0c14544f832ede0932989aa63fa0c5781644201ce96250c6f0e0b83a120f26004ab04d4b7cacd4abaa9eab0808f5af52d2eaea73f2dd1f4f1748a6b340933217
Homepage: https://cran.r-project.org/package=NORMA
Description: CRAN Package 'NORMA' (Builds General Noise SVRs)
 Builds general noise SVR models using Naive Online R Minimization Algorithm,
 NORMA, an optimization method based on classical stochastic gradient descent
 suitable for computing SVR models in an online setting.

Package: r-cran-normalgamma
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-histogram
Filename: pool/dists/focal/main/r-cran-normalgamma_1.1-1.ca2004.1_all.deb
Size: 209604
MD5sum: ac4845c5421e2365f238e0348b58edbc
SHA1: 4936d737b68bd6b4c7aab68a6c7845e9ed93d043
SHA256: 1cce8e4068915d5fe6dd391ffbd1c5359be8eedcc206b97a9c926bf7f53eb228
SHA512: ffccb2c2f67b3a26136cbcd579e04249dbcd7fb500f7faa44f58b567a901f7ec169490f54ad3b2c9773543b4d141ff3119b84d6d94d0a46036b9cb6d2f32e500
Homepage: https://cran.r-project.org/package=NormalGamma
Description: CRAN Package 'NormalGamma' (Normal-gamma convolution model)
 The functions proposed in this package compute the density of the sum of a
 Gaussian and a gamma random variables, estimate the parameters and correct
 the noise effect in a gamma-signal and Gaussian-noise model. This package
 has been used to implement the background correction method for Illumina
 microarray data presented in Plancade S., Rozenholc Y. and Lund E.
 "Generalization of the normal-exponential model : exploration of a more
 accurate parameterization for the signal distribution on Illumina
 BeadArrays", BMC Bioinfo 2012, 13(329).

Package: r-cran-normaliser
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-scales
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-normaliser_0.1.2-1.ca2004.1_all.deb
Size: 53680
MD5sum: 6133b27185f83e1cb31306fc4a56b2ea
SHA1: 16f66dc97c20e92238551eacb7d94e91633cb14a
SHA256: ddd4188a017c9ec30550a2d214d8adf261deb52895e6f69201758ea08a9eb36a
SHA512: 03999c20a45ecd0f7e6708395d4ed03d45ff67b0bbd0a033e549c0099a483c1b21e269932ed9b21f3615c38030ed8e40488743ab6b83b4b9a84492ba5752ad56
Homepage: https://cran.r-project.org/package=normaliseR
Description: CRAN Package 'normaliseR' (Re-Scale Vectors and Time-Series Features)
 Provides standardized access to a range of re-scaling methods for numerical
 vectors and time-series features calculated within the 'theft' ecosystem.

Package: r-cran-normalityassessment
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-rio, r-cran-rmatio, r-cran-shiny, r-cran-shinyalert, r-cran-shinybs, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-normalityassessment_0.1.1-1.ca2004.1_all.deb
Size: 58420
MD5sum: acfed8b37fc98370478bbfd5b1b47760
SHA1: 27428f94a8e8fa1ce6012a9f7b6ff1cde2d8b4d7
SHA256: 571146d86afd63ffbf1e5a68754e4a0a24efca0e13d3672742ef11849b838918
SHA512: 110256ae64494d256c688338fd7657c57f87ce9eb9843c9075b3e7bd941a36b8970eb982428aa1fa1fead8c03c1178c69d67989aed9866689a3d67385e5feff8
Homepage: https://cran.r-project.org/package=NormalityAssessment
Description: CRAN Package 'NormalityAssessment' (A Graphical User Interface for Testing Normality Visually)
 Package including an interactive Shiny application for testing normality
 visually.

Package: r-cran-normalize
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-normalize_0.1.2-1.ca2004.1_all.deb
Size: 31676
MD5sum: 52a32e0137c6e4672a7ac6112f6af3cb
SHA1: c4d2536eadd6eb5a678eafc85bbda05006e092c8
SHA256: fd57a6b29c5af50bd097133e2f70129068cfcc6e3738cc676e9ce2bb8159f366
SHA512: 9545860d326fb981f671005bf9c3c9c534e3d3473c57a4d17ab22d1002d00db218efe5daa51bab8b76e85c14438f1c8bc1dcc5a4d4f1041cb228dc4ac601e7e7
Homepage: https://cran.r-project.org/package=normalize
Description: CRAN Package 'normalize' (Centering and Scaling of Numeric Data)
 Provides simple methods for centering and scaling of numeric data.  Columns
 or rows can be ignored when normalizing or be normalized jointly.

Package: r-cran-normalizeh
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-hadamardr
Filename: pool/dists/focal/main/r-cran-normalizeh_1.0.0-1.ca2004.1_all.deb
Size: 15088
MD5sum: 065f5b0b4f23769132af5833f5a4faf4
SHA1: a5750e01df83f5fef459f8c4fc63b044ae960ece
SHA256: 9b8320268cea49be76855e7cfa2e0cf17ea18c6c388f85ca23e3f07221939e4e
SHA512: 47f593ab1b9a336ee5b7d4eddd4bec4933070c75f087659f35ebd062df9ebfdf8959844a109bf64c2b711bf37d5c1ca698b5c96952caf42b2f17cc7686c050ac
Homepage: https://cran.r-project.org/package=normalizeH
Description: CRAN Package 'normalizeH' (Normalize Hadamard Matrix)
 Normalize a given Hadamard matrix. A Hadamard matrix is said to be
 normalized when its first row and first column entries are all 1, see
 Hedayat, A. and Wallis, W. D. (1978) "Hadamard matrices and their
 applications. The Annals of Statistics, 1184-1238."
 <doi:10.1214/aos/1176344370>.

Package: r-cran-normallaplace
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distributionutils, r-cran-generalizedhyperbolic
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-normallaplace_0.3-2-1.ca2004.1_all.deb
Size: 84308
MD5sum: 8b49c6daeb1fdacdf4b8f1b2a7eaca67
SHA1: f01f0903d76f58ed7d4f4b7c0f84f3ed6929b341
SHA256: 5c0714453d6e9f71861db3597a9e473adcc96efb752a390587dba1614d6be20b
SHA512: fe6fc27526a1741b91611b46b5bbe86b8936eadce68f5d6d7ec021a9281c8f18571376aad974e9d5b1c5710934a36f51a58cd1afba2e227bd4f65c31a56d1a3c
Homepage: https://cran.r-project.org/package=NormalLaplace
Description: CRAN Package 'NormalLaplace' (The Normal Laplace Distribution)
 Functions for the normal Laplace distribution.  Currently, it provides
 limited functionality.  Density, distribution and quantile functions, random
 number generation, and moments are provided.

Package: r-cran-normalp
Architecture: all
Version: 0.7.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-normalp_0.7.2.1-1.ca2004.1_all.deb
Size: 99704
MD5sum: 563c5a74dbc672678e3dae3794ab01f6
SHA1: 7e3f3eb4ab5e7df9c92f5c3444426bf85570475b
SHA256: a88795d74db056bc55be9acc25c93fabd9b48284713c10a2686d4c79bcd280a5
SHA512: 80d0ddbb108b7ca77bc2f47a221d08bede4b5eb556b849439056c3f090685e9bbdf50156f55764148deddede4343eb12a7b31016bfcc5ab1edafc5e563487945
Homepage: https://cran.r-project.org/package=normalp
Description: CRAN Package 'normalp' (Routines for Exponential Power Distribution)
 A collection of utilities referred to Exponential Power distribution, also
 known as General Error Distribution (see Mineo, A.M. and Ruggieri, M.
 (2005), A software Tool for the Exponential Power Distribution: The normalp
 package. In Journal of Statistical Software, Vol. 12, Issue 4).

Package: r-cran-normalr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-purrr, r-cran-magrittr, r-cran-rlang, r-cran-shiny
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-normalr_1.0.0-1.ca2004.1_all.deb
Size: 32228
MD5sum: 586125c9132001c25ac60362629d2ed0
SHA1: 269b3e25349172f4fe17803895b5bf31a816c059
SHA256: e68e298a25d10bb177933e10b22174eb9a9237c810f04faa3dba00e746408363
SHA512: f6b6c1de79006b92af3ef49fcaba14d320f7a46920051f2ff738164ecfa885891159b50e34773a9a9a7abe88ec5fe11e3d2f22365c30479fe06991fb807fd376
Homepage: https://cran.r-project.org/package=normalr
Description: CRAN Package 'normalr' (Normalisation of Multiple Variables in Large-Scale Datasets)
 The robustness of many of the statistical techniques, such as factor
 analysis, applied in the social sciences rests upon the assumption of
 item-level normality. However, when dealing with real data, these
 assumptions are often not met. The Box-Cox transformation (Box & Cox, 1964)
 <http://www.jstor.org/stable/2984418> provides an optimal transformation for
 non-normal variables. Yet, for large datasets of continuous variables, its
 application in current software programs is cumbersome with analysts having
 to take several steps to normalise each variable. We present an R package
 'normalr' that enables researchers to make convenient optimal
 transformations of multiple variables in datasets. This R package enables
 users to quickly and accurately: (1) anchor all of their variables at 1.00,
 (2) select the desired precision with which the optimal lambda is estimated,
 (3) apply each unique exponent to its variable, (4) rescale resultant values
 to within their original X1 and X(n) ranges, and (5) provide original and
 transformed estimates of skewness, kurtosis, and other inferential
 assessments of normality.

Package: r-cran-normdata
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-doby, r-cran-mass, r-cran-lmtest, r-cran-dplyr, r-cran-sandwich, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-normdata_1.1-1.ca2004.1_all.deb
Size: 366684
MD5sum: 11af8bb49837c11cd911d9434949c535
SHA1: 189677a4b6d172813ee96e98c6b5bc47029dc2d7
SHA256: aaa0e2d593b721db3b4a97ea51c2a105221e0a4efb39a632794e7504d4ae94ba
SHA512: 776c07c3141ea72797aca27b038b851887a47499e89bddfd447a05ff1efa03e962992f498b9f4f8a4eeaa93854f00a85bea7f91c0d2da7d17a8024da8ad49f5c
Homepage: https://cran.r-project.org/package=NormData
Description: CRAN Package 'NormData' (Derivation of Regression-Based Normative Data)
 Normative data are often used to estimate the relative position of a raw
 test score in the population. This package allows for deriving
 regression-based normative data. It includes functions that enable the
 fitting of regression models for the mean and residual (or variance)
 structures, test the model assumptions, derive the normative data in the
 form of normative tables or automatic scoring sheets, and estimate
 confidence intervals for the norms. This package accompanies the book Van
 der Elst, W. (2024). Regression-based normative data for psychological
 assessment. A hands-on approach using R. Springer Nature.

Package: r-cran-normexpression
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2308
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-normexpression_0.1.1-1.ca2004.1_all.deb
Size: 1835252
MD5sum: 608b5a7e308ec52de7e79eba40ac25db
SHA1: 35874d7d5063d4ba16644235fb331b8f12dad1eb
SHA256: 254645c942c18555731649199a8e948b0e5e44d324cf4e02e730035aaaddb6b0
SHA512: 2f09f498c1048fb64c58b134af6a0f5cafde30b65ea48c99288e9f306bc4fc7be0edb9b963b69215f58cfe1504f455793fd3106642e2c374025a1e2f274256a4
Homepage: https://cran.r-project.org/package=NormExpression
Description: CRAN Package 'NormExpression' (Normalize Gene Expression Data using Evaluated Methods)
 It provides a framework and a fast and simple way for researchers to
 evaluate methods (particularly some data-driven methods or their own
 methods) and then select a best one for data normalization in the gene
 expression analysis, based on the consistency of metrics and the consistency
 of datasets.  Zhenfeng Wu, Weixiang Liu, Xiufeng Jin, Deshui Yu, Hua Wang,
 Gustavo Glusman, Max Robinson, Lin Liu, Jishou Ruan and Shan Gao (2018)
 <doi:10.1101/251140>.

Package: r-cran-normfluodbf
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4818
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-data.table, r-cran-foreign, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-emojifont, r-cran-ggplot2, r-cran-badger, r-cran-stringr, r-cran-magrittr, r-cran-assertthat, r-cran-forcats, r-cran-gridextra, r-cran-pkgsearch, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-wesanderson, r-cran-hexsticker, r-cran-testthat
Suggests: r-cran-knitr, r-cran-learnr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-normfluodbf_2.0.0-1.ca2004.1_all.deb
Size: 3215732
MD5sum: 30397211dac136695808bf9ffa90305c
SHA1: 0fbe8bca9357ac96ffeb151440a4624a8e3b5997
SHA256: 3c4e7409bfa9b3168bad3442787b8c73afa0c6e9a02032d5647bdf84282fbf36
SHA512: ba5d19804e226887d913abfda01ad2603bb2e74ea545f3d530de5df003e8559811ba091ffd709dc0b36903e27ba3b26dcb49e5c33092637fe0ac901b94c527ae
Homepage: https://cran.r-project.org/package=normfluodbf
Description: CRAN Package 'normfluodbf' (Cleans and Normalizes FLUOstar DBF and DAT Files from 'Liposome'Flux Assays)
 Cleans and Normalizes FLUOstar DBF and DAT Files obtained from liposome flux
 assays. Users should verify extended usage of the package on files from
 other assay types.

Package: r-cran-normmix
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1685
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-mass, r-cran-mvtnorm, r-cran-mclust, r-cran-sfsmisc
Suggests: r-cran-nor1mix, r-cran-matrix, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-normmix_0.2-0-1.ca2004.1_all.deb
Size: 996352
MD5sum: 0a94535d87093492fc77da43a7f5f7e9
SHA1: 8cd825c5673cb2dbb812e016883a8c491f77a1bb
SHA256: 75108eec385f95c802868250fc4789bd4257a7da10b8c50313b5933afc1d9472
SHA512: abde41601c169c3c71c8da7199f716bcc950ac73f2f5147da0ac8b2af2e47c24e3be79a457ecf7a2d703bde95be9a5ac608ffc2bd0176400e2fb0948fa6a3e15
Homepage: https://cran.r-project.org/package=norMmix
Description: CRAN Package 'norMmix' (Direct MLE for Multivariate Normal Mixture Distributions)
 Multivariate Normal (i.e. Gaussian) Mixture Models (S3) Classes.  Fitting
 models to data using 'MLE' (maximum likelihood estimation) for multivariate
 normal mixtures via smart parametrization using the 'LDL' (Cholesky)
 decomposition, see McLachlan and Peel (2000, ISBN:9780471006268), Celeux and
 Govaert (1995) <doi:10.1016/0031-3203(94)00125-6>.

Package: r-cran-normtest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-normtest_1.1-1.ca2004.1_all.deb
Size: 48652
MD5sum: c4ab7b903b9beb393824eb4a7ff15c61
SHA1: 0ddf506c730b7cb60a5b5603c4da035852594d99
SHA256: b56d5c90511d7ff58bc6ff9f140166fd3159d71257085878a6042f71ba007611
SHA512: 509f19bef7ec26b986b8d451e57db0a05f19764cb95fb444d944c65812fe9b4c4a2e77c65d5713892539a01f51eb6d2ce8a5673000e5422bbce12c96bed85cc8
Homepage: https://cran.r-project.org/package=normtest
Description: CRAN Package 'normtest' (Tests for Normality)
 Tests for the composite hypothesis of normality

Package: r-cran-norstr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-norstr_0.2.1-1.ca2004.1_all.deb
Size: 58168
MD5sum: 39235a06f527e09416d0d1e388df7909
SHA1: dc78ad640aa03e0b9782be1d4edd6616eccf523b
SHA256: 34e5375601eb4995d4fbf1241c9301c78e74ec3ec2571eb848fbde53d3e94ecf
SHA512: 2e147df6ee01c642c8b8280b35b392923a299735dd918a1b64e3ea4f1d9d9d66c181ed08c001a2dc0986b4c1dca4843a7b4eb995574c879ad4708ee46cf4b3e7
Homepage: https://cran.r-project.org/package=norSTR
Description: CRAN Package 'norSTR' (Allele Frequencies for 50 Forensic STR Markers)
 Allele frequency databases for 50 forensic short tandem repeat (STR)
 markers, covering Norway and several broader regional populations: Europe,
 Africa, South America, West Asia, Middle Asia, and East Asia. Developed and
 maintained for use at the Department of Forensic Sciences, Oslo, Norway.

Package: r-cran-nortest
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nortest_1.0-4-1.ca2004.1_all.deb
Size: 37500
MD5sum: 13a3042996ff6cee0e118041c9867b6b
SHA1: 62993b668e2d32be56a0a510e9d83757277a1198
SHA256: 14fbb638eb080d2d1bec6038662df502ec6177de80c33635a25a2fffcab3bf0d
SHA512: 85eec0305c760a5f38b26757e7a8da09a666255219eb23d71a9ed7c36751d6c6b70e845fd97db98549412dd16efc17968ab89779539a33ac81e3a06d3d3b5497
Homepage: https://cran.r-project.org/package=nortest
Description: CRAN Package 'nortest' (Tests for Normality)
 Five omnibus tests for testing the composite hypothesis of normality.

Package: r-cran-nortstest
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-forecast, r-cran-nortest, r-cran-ggplot2, r-cran-gridextra, r-cran-cowplot, r-cran-tseries, r-cran-uroot, r-cran-mass, r-cran-zoo
Suggests: r-cran-ggfortify, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nortstest_1.1.2-1.ca2004.1_all.deb
Size: 390448
MD5sum: 35577441ed81f3946b0cd5f032d3ae53
SHA1: e4da6b71b5dbbe3976fbae1435c8404023060ef2
SHA256: 57a2081f125844faa80eadc146e11b0e05a4f27e4a77ed3a13e46fa7d24ea7ec
SHA512: 4d229db5458d8865c4d2d513caab120643b6f7869aeb7fd0b4f1e6608defbe3a7ca419fd4de6fbe7673756f369354558caf05cd9346b3600b7578e5c152b4ee6
Homepage: https://cran.r-project.org/package=nortsTest
Description: CRAN Package 'nortsTest' (Assessing Normality of Stationary Process)
 Despite that several tests for normality in stationary processes have been
 proposed in the literature, consistent implementations of these tests in
 programming languages are limited. Seven normality test are implemented. The
 asymptotic Lobato & Velasco's, asymptotic Epps, Psaradakis and Vávra, Lobato
 & Velasco's and Epps sieve bootstrap approximations, El bouch et al., and
 the random projections tests for univariate stationary process. Some other
 diagnostics such as, unit root test for stationarity, seasonal tests for
 seasonality, and arch effect test for volatility; are also performed.
 Additionally, the El bouch test performs normality tests for bivariate time
 series. The package also offers residual diagnostic for linear time series
 models developed in several packages.

Package: r-cran-nos
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-gmp, r-cran-bipartite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nos_2.0.0-1.ca2004.1_all.deb
Size: 67804
MD5sum: 82398957953cde9b910b11ff213c9221
SHA1: aa5ae84d1b878e300ee3336a04a537f5daf70a04
SHA256: 95cde5fb77c7e46941be030220964d176a37649653efa11fe3fa35fa5bd86593
SHA512: e9af7aea8227de82e779f4f4c70bc8782a51d2fd8ed811e90560301f59d46630f018212a4f332345f2de0429a8757e90a1056ac6a6151e6f79f4be5ed26397e4
Homepage: https://cran.r-project.org/package=nos
Description: CRAN Package 'nos' (Compute Node Overlap and Segregation in Ecological Networks)
 Calculate NOS (node overlap and segregation) and the associated metrics
 described in Strona and Veech (2015) <doi:10.1111/2041-210X.12395> and
 Strona et al. (2018) <doi:10.1111/ecog.03447>. The functions provided in the
 package enable assessment of structural patterns ranging from complete node
 segregation to perfect nestedness in a variety of network types. In
 addition, they provide a measure of network modularity.

Package: r-cran-nose
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nose_1.0-1.ca2004.1_all.deb
Size: 27164
MD5sum: ae530765832087365a1ebcd1094ae9bb
SHA1: 3a0d0271e8433fb1934c4336643b1ec6edad7fc1
SHA256: 0c4e50f9791a8e733fb6442eb7198fdb61db653e3df35a595f4e558b3d8503ce
SHA512: 0b04111ce5524f917a9eafd75f63d5b1b4a550a8be26026156ce7f1c3f68c3774aaeb2613a14288fc8580d01e28d6ab50f4493d05dc45dd4dec1e702447fecee
Homepage: https://cran.r-project.org/package=nose
Description: CRAN Package 'nose' (nose Package for R)
 The nose package consists of a collection of three functions for classifying
 sparseness in typical 2 x 2 data sets with at least one cell should have
 zero count. These functions are based on the three widely applied summary
 measures for 2 x 2 categorical data viz, Risk Difference (RD), Relative Risk
 (RR), Odds Ratio (OR). This package helps to identify suitable continuity
 correction for zero cells when a multi centre analysis or a meta analysis is
 carried out. Further, it can be considered as a tool for sensitivity
 analysis for adding a continuity correction and to identify the presence of
 Simpson's paradox.

Package: r-cran-nosoi
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1503
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-raster
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-ggplot2, r-cran-ggnetwork, r-cran-intergraph, r-cran-viridis, r-cran-gifski, r-cran-png, r-cran-gganimate, r-cran-ape, r-cran-tidytree, r-bioc-treeio, r-bioc-ggtree, r-cran-magrittr, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nosoi_1.1.2-1.ca2004.1_all.deb
Size: 709272
MD5sum: 57688d3be270a5df24b147821d89060c
SHA1: 434cbf662c74c301777d657905f08c1c2b98633f
SHA256: 031839ea088fbe0036a03890820bdfceeae0f4f77b6b61886999b58c13836cf1
SHA512: 2c044334f5f82de70c5746e56ff27704048d77a90b57cc3fa78afc5d5e7dd2507996b1f8cbf471fd3729044083103738e6058309702118fdd7260ff71e514f51
Homepage: https://cran.r-project.org/package=nosoi
Description: CRAN Package 'nosoi' (A Forward Agent-Based Transmission Chain Simulator)
 The aim of 'nosoi' (pronounced no.si) is to provide a flexible agent-based
 stochastic transmission chain/epidemic simulator (Lequime et al. Methods in
 Ecology and Evolution 11:1002-1007). It is named after the daimones of
 plague, sickness and disease that escaped Pandora's jar in the Greek
 mythology. 'nosoi' is able to take into account the influence of multiple
 variable on the transmission process (e.g. dual-host systems (such as
 arboviruses), within-host viral dynamics, transportation, population
 structure), alone or taken together, to create complex but relatively
 intuitive epidemiological simulations.

Package: r-cran-nostalgir
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-txtplot
Filename: pool/dists/focal/main/r-cran-nostalgir_1.0.2-1.ca2004.1_all.deb
Size: 48348
MD5sum: 2fb51c86a7d91fcad89e708311db8160
SHA1: aecfdb5a5c11bb2f86e54cd4d81cd758ffdb6064
SHA256: 77e4575f25ef39fca88565a4ce490c7ad3722bb608bfc3de080274147341703d
SHA512: 13b3d28d103233073a6f5c7bba350fd09c788da07e68fc7b4588bed7da3b7aaff06624aba59b85a09b3246cd8aff92a347750f863647890d2d06e7a389962991
Homepage: https://cran.r-project.org/package=NostalgiR
Description: CRAN Package 'NostalgiR' (Advanced Text-Based Plots)
 Provides functions to produce advanced ascii graphics, directly to the
 terminal window. This package utilizes the txtplot() function from the
 'txtplot' package, to produce text-based histograms, empirical cumulative
 distribution function plots, scatterplots with fitted and regression lines,
 quantile plots, density plots, image plots, and contour plots.

Package: r-cran-notebookutils
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-notebookutils_1.5.3-1.ca2004.1_all.deb
Size: 190700
MD5sum: b5b6cf25b224f2d94a98a33968eff71f
SHA1: 324317b3facfe95a6c406ff870310992d267e70d
SHA256: 9d8294fb0788136343bb2c289792890d9ad5a654cbae485a63fdd1ad34e71a1a
SHA512: e6a0cae9bc3939f0a5bed85dc7715d6b0665879242fdfa2e387823ceb6b5c5a774fb3e5d5a12a386b7a8c06acbe1d8598ebae6b4312077bda58828731966b7dd
Homepage: https://cran.r-project.org/package=notebookutils
Description: CRAN Package 'notebookutils' (Dummy R APIs Used in 'Azure Synapse Analytics' for LocalDevelopments)
 This is a pure dummy interfaces package which mirrors 'MsSparkUtils' APIs
 <https://learn.microsoft.com/en-us/azure/synapse-analytics/spark/microsoft-spark-utilities?pivots=programming-language-r>
 of 'Azure Synapse Analytics'
 <https://learn.microsoft.com/en-us/azure/synapse-analytics/> for R users,
 customer of Azure Synapse can download this package from CRAN for local
 development.

Package: r-cran-notifyme
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-httr
Filename: pool/dists/focal/main/r-cran-notifyme_0.3.0-1.ca2004.1_all.deb
Size: 32072
MD5sum: 2a63d9ff98d856a6e73b5206bad9deb4
SHA1: 18ef26bb80e5f640ede01c70c74541ed2d7187ee
SHA256: 8c3a390cbf16ac8508349d363a580143b1bfe03756dafe18713c15d907184e9a
SHA512: 922411031ecfa2a5080a2fe4e4ffee89721f731089be9d2c0ec00e6d5ccda3c4520f20976d5a9ee976d207f0bac2eaebbe603a8b23b5d65358a868e402d9398c
Homepage: https://cran.r-project.org/package=notifyme
Description: CRAN Package 'notifyme' (Send Alerts to your Cellphone and Phillips Hue Lights)
 Functions to flash your hue lights, or text yourself, from R. Designed to be
 used with long running scripts.

Package: r-cran-notifyr
Architecture: all
Version: 1.02-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-notifyr_1.02-1.ca2004.1_all.deb
Size: 15580
MD5sum: 937133022dc5d917955e6e9c66dec1a4
SHA1: 1841cbeeffa217b6d214d2b51d72e6e2e09d241a
SHA256: 3d88a60c0a20a392581a6bcdd14e97f07823ef8df2c8fc90f48beb2ee17d3c47
SHA512: 5ec233209c883b334b5943e7cf531af20d69e90d4be39aa69d371e5ccbcd9313de57c79823974813fa6ba8686f33a1142cb9522df48bab948922d1ef1a56a091
Homepage: https://cran.r-project.org/package=notifyR
Description: CRAN Package 'notifyR' (Send push notifications to your smartphone via pushover.net(ACCOUNT REQUIRED!))
 This Package provides a connection to the pushover.net API to send push
 notification to your smartphone directly from R.  (ACCOUNT REQUIRED!)

Package: r-cran-notionr
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-httr2, r-cran-stringi, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-notionr_0.0.9-1.ca2004.1_all.deb
Size: 76228
MD5sum: 563131a9d504a96f5ce8d2c3910b4c75
SHA1: 48a77b2de84391c9b074c9a6e7c4a42a66ebd59e
SHA256: 5a0dee7cb56396bc06c9f466595c4cd10ff8a9ec8200461d441fc4461ca52917
SHA512: 6b7aebbd7793a78ede5d6f06362a84dfba392f8bed986c2d5678c2839795bbe0709b6f9ea6cce38b9432c1d7571d8d71b9946e827c6dba55bcda44fd1d4dafda
Homepage: https://cran.r-project.org/package=notionR
Description: CRAN Package 'notionR' (R Wrapper for 'Notion' API)
 Provides functions to query databases and notes in 'Notion', using the
 official REST API. To learn more about the functionality of the 'Notion'
 API, see <https://developers.notion.com/>.

Package: r-cran-noveldistns
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-adequacymodel, r-cran-gsl, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-noveldistns_0.1.0-1.ca2004.1_all.deb
Size: 94464
MD5sum: f3cbdb6e948e8895aca48af4fc56d324
SHA1: ae9bafe68664a0faf9c0c8a5953b12a5f56c3e8f
SHA256: 9d6189d45547fc9080c829448df95f551bb8b4f4839eb522617dfb2427ed7a02
SHA512: 53ecebff3f3c685bec3489b958dc8777f1f84532627bf8e48f757e9100c9d5a6e2404069b99ed668386707e3b9851dddadcfe398d9850b2b8bef7346f793608b
Homepage: https://cran.r-project.org/package=NovelDistns
Description: CRAN Package 'NovelDistns' (Computes PDF, CDF, Quantile, Random Numbers and Measures ofInference for 3 General Families of Distributions)
 Computes the probability density function, the cumulative density function,
 quantile function, random numbers and measures of inference for the
 following families exponentiated generalized gull alpha power family,
 exponentiated gull alpha powerfamily, gull alpha power family.

Package: r-cran-novelforestsg
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-brms, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-novelforestsg_2.1.0-1.ca2004.1_all.deb
Size: 60540
MD5sum: 01cd78eeb4ed25d3657de39ae8feb796
SHA1: 368ff397ef1ceb5016d29b07240561df4d5bb6ad
SHA256: 45c9f4ab94e0c9ac91b1db641ebce2a989adde590c539c21483cfc4f57629384
SHA512: c547d26d94e70fb9ba087e7748bb373ae84c77e101707721f2d6c93485fe6c9b7c9d8f5d024f93527b4e19bcc34868a8f4f19b9490f1a917d6090c14f8f8e7c6
Homepage: https://cran.r-project.org/package=novelforestSG
Description: CRAN Package 'novelforestSG' (Dataset from the Novel Forests of Singapore)
 The raw dataset and model used in Lai et al. (2021) Decoupled responses of
 native and exotic tree diversities to distance from old-growth forest and
 soil phosphorous in novel secondary forests. Applied Vegetation Science, 24,
 e12548.

Package: r-cran-novelqualcodes
Architecture: all
Version: 0.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-naturalsort, r-cran-ggplot2, r-cran-ggpattern
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-novelqualcodes_0.13.1-1.ca2004.1_all.deb
Size: 436576
MD5sum: 333cfe094c8de2686111f6f9257dd75a
SHA1: 58b8c0629575192d8e23dcc7f5f08ec9f14ac2fa
SHA256: ba46ed94c343ee11f29290af1d64d51d606188a2804bbe79cdb1203ec521bd2e
SHA512: 3fe4827683ee762cbc680a710b4853f3265395ec291abf601ee6b11e3b630047708e330e3468b7f81e6a9bb63a2d9b9b68d671af9cf7f3df16f89cb388066617
Homepage: https://cran.r-project.org/package=novelqualcodes
Description: CRAN Package 'novelqualcodes' (Visualise the Path to a Stopping Point in Qualitative InterviewsBased on Novel Codes)
 In semi-structured interviews that use the 'framework' method, it is not
 always clear how refinements to interview questions affect the decision of
 when to stop interviews. The trend of 'novel' and 'duplicate' interview
 codes (novel codes are information that other interviewees have not
 previously mentioned) provides insight into the richness of qualitative
 information. This package provides tools to visualise when refinements occur
 and how that affects the trends of novel and duplicate codes. These
 visualisations, when used progressively as new interviews are finished, can
 help the researcher to decide on a stopping point for their interviews.

Package: r-cran-novicedeveloperresources2
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1258
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-novicedeveloperresources
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-novicedeveloperresources2_1.1.0-1.ca2004.1_all.deb
Size: 822768
MD5sum: b152e37eac139b0923454bec48d195a3
SHA1: 2ad6091664e81bfcfb9baeab60b6812386cf008c
SHA256: 69184d647f6c463ccb2dcd7831be28f54cdbdf7e74b7a7594b71f66f0da7531d
SHA512: c9c54f850d63feb8552524ce0c9fb75b6aa7102bc93a958b10e26596e97b51b48c7996a8018e994e8054fc8c0f14df85dac9cd579fb91989f315beb7712d5d27
Homepage: https://cran.r-project.org/package=NoviceDeveloperResources2
Description: CRAN Package 'NoviceDeveloperResources2' (Further Resources to Assist Novice Developers)
 Assist novice developers when preparing a single package or a set of
 integrated packages to submit to CRAN. Provide additional resources to
 facilitate the automation of the following individual or batch processing:
 check local source packages; build local .tar.gz source files; install
 packages from local .tar.gz files; detect conflicts between function names
 in the environment. The additional resources include determining the
 identity and ordering of the packages to process when updating an imported
 package.

Package: r-cran-novicedeveloperresources
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-novicedeveloperresources_1.2.0-1.ca2004.1_all.deb
Size: 429380
MD5sum: b1b565683661e419e3af3ba713478488
SHA1: 90ef227575dc6fec5d05ae3566813eb4a5a3987e
SHA256: 88dfd0fc9f4a50c78d03eba05648007fe1f078c654deb769d6e5ccc35c62c27b
SHA512: ae107b094758a4a6995a51188df9c1495017a69bbfaad8c315613861bb10ea00682102cf7e20ff164cbf7690fd16fb9886594ad6b0e5421cec8b7c89ac0a35c8
Homepage: https://cran.r-project.org/package=NoviceDeveloperResources
Description: CRAN Package 'NoviceDeveloperResources' (Resources to Assist Novice Developers)
 Assist novice developers when preparing a single package or a set of
 integrated packages to submit to CRAN. Automate the following individual or
 batch processing: check local source packages; build local .tar.gz source
 files; install packages from local .tar.gz files; detect conflicts between
 function names in the environment.

Package: r-cran-nowcastdfm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-matlab, r-cran-pracma, r-cran-signal
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nowcastdfm_1.0.0-1.ca2004.1_all.deb
Size: 85288
MD5sum: 812a9cef5e481aa6ef8b931fe6db6bb7
SHA1: 6e113f879af6e2e8c4e9bbec0c4a8774df389b73
SHA256: 8ae1a17d45e7f425254c7b10c5033dbe012169bb514f849c078c683a9f0fe779
SHA512: 18fb8a4f8af830a227f6343a1cf4090fce32af1a7db156f87be5a0333fb9ad87ef1f0ae71b8e0679c4449a984b1a88d6d873608b5c7e89bcc4a1a78268e9f62e
Homepage: https://cran.r-project.org/package=nowcastDFM
Description: CRAN Package 'nowcastDFM' (DFMs for Nowcasting)
 Run dynamic factor models (DFM) in R. Adapted from Bok et al. (2017)
 <https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr830.pdf>.
 The package provides the ability to estimate a DFM model, obtain predictions
 from estimated models, and obtain the impact of new data releases on model
 predictions.

Package: r-cran-nowcasting
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 579
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-httr, r-cran-lubridate, r-cran-matlab, r-cran-rcurl, r-cran-xts, r-cran-zoo, r-cran-dbi, r-cran-magic, r-cran-rmysql, r-cran-matrix, r-cran-vars
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nowcasting_1.1.4-1.ca2004.1_all.deb
Size: 554936
MD5sum: 255d011d00fa16038ba3d1b74e90aca1
SHA1: 30539d3a7bcdd85865cf8b44beeba6af600f5937
SHA256: 4dd9e422b86ae0c989eea685a593c0fc171cf3d17ebe9c5e8921ac6c9effba90
SHA512: 4dc96a53b444454f9456e36f2846185d6397e73fa0411604924a73ce7a2a1cca40b79fc0ed5aeb62a448d4b590e6373eca62b7d86e27fe429d9a0e37c86dcfda
Homepage: https://cran.r-project.org/package=nowcasting
Description: CRAN Package 'nowcasting' (Predicting Economic Variables using Dynamic Factor Models)
 It contains the tools to implement dynamic factor models to forecast
 economic variables. The user will be able to construct pseudo real time
 vintages, use information criteria for determining the number of factors and
 shocks, estimate the model, and visualize results among other things.

Package: r-cran-noweb
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-noweb_1.1-4-1.ca2004.1_all.deb
Size: 228004
MD5sum: bcf5505c473ebdb8bc928da7224b225e
SHA1: f87408d6347a606482e90e9d383b2fcdd9e432eb
SHA256: 27b325d920df6ed182033034702075b82deda9d1d28224aef3be3c61ab454b48
SHA512: 8b8e1c2734f7909d57926625528e1ef51bf12852eeefb83e6ee5d979e9206e79003e931336bb2ff7cc5f929fe464777e30b91687f515f6b632ffafc380fc176f
Homepage: https://cran.r-project.org/package=noweb
Description: CRAN Package 'noweb' (The 'noweb' System for R)
 The noweb system for source code, implemented in R.

Package: r-cran-nozzle.r1
Architecture: all
Version: 1.1-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nozzle.r1_1.1-1.1-1.ca2004.1_all.deb
Size: 345404
MD5sum: bf7d86af7107866fcc65232112d221ac
SHA1: c353c3c3b9e16b59c1146c86d20c21dfffe81297
SHA256: 2f6aa5f3b3c9ff752b50b1594d6c508d213eac06ae1120d042a58b637cc47713
SHA512: 72f083655cc4b4e099fc5988b1e4121dc4bbea5f0bcb6ad3e17a8fb94637c7862da0888454dd71baad8578e35588cd831be895b716e55bbe0f0222007189738b
Homepage: https://cran.r-project.org/package=Nozzle.R1
Description: CRAN Package 'Nozzle.R1' (Nozzle Reports)
 The Nozzle package provides an API to generate HTML reports with dynamic
 user interface elements based on JavaScript and CSS (Cascading Style
 Sheets). Nozzle was designed to facilitate summarization and rapid browsing
 of complex results in data analysis pipelines where multiple analyses are
 performed frequently on big data sets. The package can be applied to any
 project where user-friendly reports need to be created.

Package: r-cran-nparact
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stringr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-nparact_0.8-1.ca2004.1_all.deb
Size: 95448
MD5sum: fc6c5ac20f66c00d9c35bae06ffed249
SHA1: 12143248a18edb97dc4c0ecc1878c863fc6b206c
SHA256: 93d03547c32b4fa12b6562a47f308367392f5aab75f46f864d6722ac7771baa6
SHA512: bab35a2d39b7b0841e1c4700dd2c3bee90e351cbc88d32c55f2f9b418cf4b09022366db11836ddcce2836a83b64363af9136833c10a6a86668248ecb4c00eb68
Homepage: https://cran.r-project.org/package=nparACT
Description: CRAN Package 'nparACT' (Non-Parametric Measures of Actigraphy Data)
 Computes interdaily stability (IS), intradaily variability (IV) & the
 relative amplitude (RA) from actigraphy data as described in Blume et al.
 (2016) <doi: 10.1016/j.mex.2016.05.006> and van Someren et al. (1999) <doi:
 10.3109/07420529908998724>. Additionally, it also computes L5 (i.e. the 5
 hours with lowest average actigraphy amplitude) and M10 (the 10 hours with
 highest average amplitude) as well as the respective start times. The flex
 versions will also compute the L-value for a user-defined number of minutes.
 IS describes the strength of coupling of a rhythm to supposedly stable
 zeitgebers. It varies between 0 (Gaussian Noise) and 1 for perfect IS. IV
 describes the fragmentation of a rhythm, i.e. the frequency and extent of
 transitions between rest and activity. It is near 0 for a perfect sine wave,
 about 2 for Gaussian noise and may be even higher when a definite ultradian
 period of about 2 hrs is present. RA is the relative amplitude of a rhythm.
 Note that to obtain reliable results, actigraphy data should cover a
 reasonable number of days.

Package: r-cran-nparcomp
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcomp, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-nparcomp_3.0-1.ca2004.1_all.deb
Size: 224228
MD5sum: 4ee4cb6b910d2a96d0bd44f2843f0778
SHA1: 17f4f5917db55a1288b4dd4d0c5222da0fa3ad39
SHA256: e76b8d844dcffde4ecca845aebfa282ba2a6d133c866eca96498367f3e5b008e
SHA512: f5a2a4752b421a51f424b5587c33db5946aa08c70d174c56c68e7b4a709a59ce3ed8c46892926ad15c2fcaf0b5b6a0694356430e19e6d2e8dc84d125c1d72925
Homepage: https://cran.r-project.org/package=nparcomp
Description: CRAN Package 'nparcomp' (Multiple Comparisons and Simultaneous Confidence Intervals)
 With this package, it is possible to compute nonparametric simultaneous
 confidence intervals for relative contrast effects in the unbalanced one way
 layout. Moreover, it computes simultaneous p-values. The simultaneous
 confidence intervals can be computed using multivariate normal distribution,
 multivariate t-distribution with a Satterthwaite Approximation of the degree
 of freedom or using multivariate range preserving transformations with Logit
 or Probit as transformation function. 2 sample comparisons can be performed
 with the same methods described above. There is no assumption on the
 underlying distribution function, only that the data have to be at least
 ordinal numbers. See Konietschke et al. (2015) <doi:10.18637/jss.v064.i09>
 for details.

Package: r-cran-nparld
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nparld_2.2-1.ca2004.1_all.deb
Size: 303884
MD5sum: 37cb764fc569d3d9bf667c2f81dbc67a
SHA1: 6988b56a0d9ab9e42f8c3d389c740cae75d14e5b
SHA256: a54ca6fc4d9024dc89e275553cce412ac7e7bf94097bc79b3ec459439638a2f3
SHA512: f464856c1a549e75a100aa225654461adf8a7285044f3fc738643ed6abd9d41cbf9f0e059a58690378f91cda0abc4bb72ec49e2360373a3178c0079f4ff009f9
Homepage: https://cran.r-project.org/package=nparLD
Description: CRAN Package 'nparLD' (Nonparametric Analysis of Longitudinal Data in FactorialExperiments)
 Performs nonparametric analysis of longitudinal data in factorial
 experiments.  Longitudinal data are those which are collected from the same
 subjects over time, and they frequently arise in biological sciences.
 Nonparametric methods do not require distributional assumptions, and are
 applicable to a variety of data types (continuous, discrete, purely ordinal,
 and dichotomous).  Such methods are also robust with respect to outliers and
 for small sample sizes.

Package: r-cran-nparmd
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-matrixcalc, r-cran-mass, r-cran-gtools, r-cran-formula
Filename: pool/dists/focal/main/r-cran-nparmd_0.2.1-1.ca2004.1_all.deb
Size: 49612
MD5sum: 0d8879593bbd898f98900a02e6a1dbb5
SHA1: b022d6d648d55367f6d5cf5b893cc720a1574671
SHA256: d9e1b951688a54b0c32586f1dbc4d31ab56ec39d061c34af4581756441040b96
SHA512: 5d6351183a03c06abe6c36da84d5464d149399f05dc72837ceeb4b67f5d1cbe97e74b89d6999255a0035b8fc1a216b36615086069a85f3d2d93c3648ca725fd0
Homepage: https://cran.r-project.org/package=nparMD
Description: CRAN Package 'nparMD' (Nonparametric Analysis of Multivariate Data in Factorial Designs)
 Analysis of multivariate data with two-way completely randomized factorial
 design. The analysis is based on fully nonparametric, rank-based methods and
 uses test statistics based on the Dempster's ANOVA, Wilk's Lambda,
 Lawley-Hotelling and Bartlett-Nanda-Pillai criteria. The multivariate
 response is allowed to be ordinal, quantitative, binary or a mixture of the
 different variable types. The package offers two functions performing the
 analysis, one for small and the other for large sample sizes. The underlying
 methodology is largely described in Bathke and Harrar (2016)
 <doi:10.1007/978-3-319-39065-9_7> and in Munzel and Brunner (2000)
 <doi:10.1016/S0378-3758(99)00212-8>.

Package: r-cran-nparsurv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-th.data
Filename: pool/dists/focal/main/r-cran-nparsurv_0.1.0-1.ca2004.1_all.deb
Size: 27892
MD5sum: 7b7a3a22760dc15b555705e57cfe6824
SHA1: 545f453606a6eb113652f9addade5db28e39e9bc
SHA256: 8f8d1ceb22f0d56be6bb3b3c7b2b6d2889ab7654119bb3955830062dce9bfac9
SHA512: 5774f86c1fc90c4947801ce5507d6b8e708c6ba5601db785f2931a9a54989a13886cc623aaa0b03cb7a930cead076027ee3b02b231439e6ff48cd84cf6d4a07c
Homepage: https://cran.r-project.org/package=nparsurv
Description: CRAN Package 'nparsurv' (Nonparametric Tests for Main Effects, Simple Effects andInteraction Effect in a Factorial Design with Censored Data)
 Nonparametric Tests for Main Effects, Simple Effects and Interaction Effect
 with Censored Data and Two Factorial Influencing Variables.

Package: r-cran-npbbbdaefficiency
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npbbbdaefficiency_0.1.0-1.ca2004.1_all.deb
Size: 16008
MD5sum: 6e794e095c98a6f41cc65f043986b945
SHA1: 2759939ea7a4f05bbc7c78be47fd11ef8acfb591
SHA256: 1dc0c3340ab758ccd28269e8ed5f2a480400569dc0b08f41ae99e94da421e8e9
SHA512: 684fa0b82ddbdb55fb394e9d01790030d0d561f8232364d95f7a3cc90079c2cfd2e85bcb6632347b32ccecde5f38ea9aa1f0b43d373631b1ddd1530009d506f7
Homepage: https://cran.r-project.org/package=NPBBBDAefficiency
Description: CRAN Package 'NPBBBDAefficiency' (A-Efficiency for Nested Partially Balanced Bipartite Block(NPBBB) Designs)
 Nested Partially Balanced Bipartite Block (NPBBB) designs involve two levels
 of blocking: (i) The block design (ignoring sub-block classification) serves
 as a partially balanced bipartite block (PBBB) design, and (ii) The
 sub-block design (ignoring block classification) also serves as a PBBB
 design. More details on constructions of the PBBB designs and their
 characterization properties are available in Vinayaka et al.(2023)
 <doi:10.1080/03610926.2023.2251623>. This package calculates A-efficiency
 values for both block and sub-block structures, along with all parameters of
 a given NPBBB design.

Package: r-cran-npboottprm
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-fgarch, r-cran-ggplot2, r-cran-lmperm, r-cran-mass, r-cran-mkinfer, r-cran-mmints, r-cran-shiny, r-cran-shinythemes, r-cran-sn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npboottprm_0.3.2-1.ca2004.1_all.deb
Size: 270276
MD5sum: 728c126b907dcae2d4649f263ff1a91f
SHA1: e3eafa61519599a7ed03840c7d339d64853a4074
SHA256: 2b08296ce24c41ce873f631793fd6c4372796c42afa3b879117c415eb41cb17a
SHA512: 52bd828042b8875bfb4dda9520d5cdf44cb45886221a1ba5e41c601e311e177cdc29e1c3f1ecbf729725f8b60b1d93207da94185afe8d0563829a30b0c648b4b
Homepage: https://cran.r-project.org/package=npboottprm
Description: CRAN Package 'npboottprm' (Nonparametric Bootstrap Test with Pooled Resampling)
 Addressing crucial research questions often necessitates a small sample size
 due to factors such as distinctive target populations, rarity of the event
 under study, time and cost constraints, ethical concerns, or group-level
 unit of analysis. Many readily available analytic methods, however, do not
 accommodate small sample sizes, and the choice of the best method can be
 unclear. The 'npboottprm' package enables the execution of nonparametric
 bootstrap tests with pooled resampling to help fill this gap.  Grounded in
 the statistical methods for small sample size studies detailed in Dwivedi,
 Mallawaarachchi, and Alvarado (2017) <doi:10.1002/sim.7263>, the package
 facilitates a range of statistical tests, encompassing independent t-tests,
 paired t-tests, and one-way Analysis of Variance (ANOVA) F-tests.  The
 nonparboot() function undertakes essential computations, yielding detailed
 outputs which include test statistics, effect sizes, confidence intervals,
 and bootstrap distributions. Further, 'npboottprm' incorporates an
 interactive 'shiny' web application, nonparboot_app(), offering intuitive,
 user-friendly data exploration.

Package: r-cran-npboottprmfbar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-fgarch, r-cran-lmperm, r-cran-mmints, r-cran-npboottprm, r-cran-restriktor, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npboottprmfbar_0.2.0-1.ca2004.1_all.deb
Size: 49480
MD5sum: 1648bc6dd8f156365a46e7effc334d91
SHA1: ccae8fa128e4dc3a6636794bcc0e1998b8082e62
SHA256: 6200f500970ef4278fd1ca79dc146bb4890a9f13014fa9a6bcbc464d13eb7616
SHA512: 02ded781890431d92b2c3cbe1a8488a25287b1820f0ad028b481d8b0c3ff2307efe37f433109cfeb52ea0adde125f83b287b5e3a539016e22c8e61469d5eae43
Homepage: https://cran.r-project.org/package=npboottprmFBar
Description: CRAN Package 'npboottprmFBar' (Informative Nonparametric Bootstrap Test with Pooled Resampling)
 Sample sizes are often small due to hard to reach target populations, rare
 target events, time constraints, limited budgets, or ethical considerations.
 Two statistical methods with promising performance in small samples are the
 nonparametric bootstrap test with pooled resampling method, which is the
 focus of Dwivedi, Mallawaarachchi, and Alvarado (2017)
 <doi:10.1002/sim.7263>, and informative hypothesis testing, which is
 implemented in the 'restriktor' package. The 'npboottprmFBar' package uses
 the nonparametric bootstrap test with pooled resampling method to implement
 informative hypothesis testing.  The bootFbar() function can be used to
 analyze data with this method and the persimon() function can be used to
 conduct performance simulations on type-one error and statistical power.

Package: r-cran-npc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-permute, r-cran-dplyr, r-cran-coin, r-cran-matlab
Suggests: r-cran-car, r-cran-mvtnorm, r-cran-plyr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-npc_1.1.0-1.ca2004.1_all.deb
Size: 72784
MD5sum: b8cba9910fae83fd363f6cdf3b9f96db
SHA1: 26d123208c0e5579862a906f30c5c7608ee61c9f
SHA256: fe4e393019fb48a5fbc16a0b6e6cbc15301dc2e8d0d7da36b6460e925738b478
SHA512: 2cc0dbf577148acb5ad907ee061c112cadbd75285081da8b836be9f6ac322d5cfaf38d7d21c8df6396488ff1ea4f593b8737cae9853381982970012db26c0e6b
Homepage: https://cran.r-project.org/package=NPC
Description: CRAN Package 'NPC' (Nonparametric Combination of Hypothesis Tests)
 An implementation of nonparametric combination of hypothesis tests.  This
 package performs nonparametric combination (Pesarin and Salmaso 2010), a
 permutation-based procedure for jointly testing multiple hypotheses. The
 tests are conducted under the global "sharp" null hypothesis of no effects,
 and the component tests are combined on the metric of their p-values. A key
 feature of nonparametric combination is that it accounts for the dependence
 among tests under the null hypothesis. In addition to the "NPC" function,
 which performs nonparametric combination itself, the package also contains a
 number of helper functions, many of which calculate a test statistic given
 an input of data.

Package: r-cran-npcd
Architecture: all
Version: 1.0-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-r.methodss3
Filename: pool/dists/focal/main/r-cran-npcd_1.0-11-1.ca2004.1_all.deb
Size: 136184
MD5sum: f23beb3f93e2505b65b803d3d9ebd955
SHA1: 82060e2a5feb8b678f677208197c8a67d2ea0be8
SHA256: df583c0c5c80567bbd701cce0b2b0de83083bbb8cfeab8de88bc2b2100343df3
SHA512: b50cdb9612fd70fb4e97c49deee40a77be5ac58cc26c0f49b464aef552c5f54ac587e1b66867ad2e8712277206b64ee868e9370c8c2c22da6683370d52c83d73
Homepage: https://cran.r-project.org/package=NPCD
Description: CRAN Package 'NPCD' (Nonparametric Methods for Cognitive Diagnosis)
 An array of nonparametric and parametric estimation methods for cognitive
 diagnostic models, including nonparametric classification of examinee
 attribute profiles, joint maximum likelihood estimation (JMLE) of examinee
 attribute profiles and item parameters, and nonparametric refinement of the
 Q-matrix, as well as conditional maximum likelihood estimation (CMLE) of
 examinee attribute profiles given item parameters and CMLE of item
 parameters given examinee attribute profiles. Currently the nonparametric
 methods in the package support both conjunctive and disjunctive models, and
 the parametric methods in the package support the DINA model, the DINO
 model, the NIDA model, the G-NIDA model, and the R-RUM model.

Package: r-cran-npcdtools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdina, r-cran-npcd, r-cran-psych, r-cran-simdesign, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-npcdtools_1.0-1.ca2004.1_all.deb
Size: 77936
MD5sum: 9b3b28f0dadadf45c01ced53cc348ba4
SHA1: 5a60f9d0700c18b1a54f8252422a3ce6afdb9298
SHA256: 2b8c9567106c9e69b825af613d7b9e7356397f4dbe2da6cf7f93e744aee691ec
SHA512: 592793e4d227e1cde373f9a229cfc5ab69076beb61849dc0b2c0e272fab92bdd32c955a5e26fa3f46846a12a9d894c30661d22eeaea410ca3f7b4c68847beaa8
Homepage: https://cran.r-project.org/package=NPCDTools
Description: CRAN Package 'NPCDTools' (The Nonparametric Classification Methods for Cognitive Diagnosis)
 Statistical tools for analyzing cognitive diagnosis (CD) data collected from
 small settings using the nonparametric classification (NPCD) framework. The
 core methods of the NPCD framework includes the nonparametric classification
 (NPC) method developed by Chiu and Douglas (2013)
 <DOI:10.1007/s00357-013-9132-9> and the general NPC (GNPC) method developed
 by Chiu, Sun, and Bian (2018) <DOI:10.1007/s11336-017-9595-4> and Chiu and
 Köhn (2019) <DOI:10.1007/s11336-019-09660-x>. An extension of the NPCD
 framework included in the package is the nonparametric method for
 multiple-choice items (MC-NPC) developed by Wang, Chiu, and Koehn (2023)
 <DOI:10.3102/10769986221133088>.  Functions associated with various
 extensions concerning the evaluation, validation, and feasibility of the CD
 analysis are also provided. These topics include the completeness of
 Q-matrix, Q-matrix refinement method, as well as Q-matrix estimation.

Package: r-cran-npclust
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npclust_0.1.1-1.ca2004.1_all.deb
Size: 68988
MD5sum: 7b787c41bd32ad6834ecb507fd05964b
SHA1: 4b9e8823a86de51e1f2b4c44dc0192275e6014a8
SHA256: bd326b9a985632725312b78551fd015fd8731b35c8c4194329a36a2594f1b961
SHA512: ea6bf9db282ae5bbc0949f42d19b4476ff683b852c5847a3f9c54811001a0d4a15eff63816ca3cf7396c800d61fe60e90b64c2a5b4f34847eebf18890d5be032
Homepage: https://cran.r-project.org/package=npclust
Description: CRAN Package 'npclust' (Nonparametric Tests for Incomplete Clustered Data)
 Nonparametric tests for clustered data in pre-post intervention design
 documented in Cui and Harrar (2021) <doi:10.1002/bimj.201900310> and Harrar
 and Cui (2022) <doi:10.1016/j.jspi.2022.05.009>. Other than the main test
 results mentioned in the reference paper, this package also provides a
 function to calculate the sample size allocations for the input long format
 data set, and also a function for adjusted/unadjusted confidence intervals
 calculations. There are also functions to visualize the distribution of data
 across different intervention groups over time, and also the
 adjusted/unadjusted confidence intervals.

Package: r-cran-npcox
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-progress
Filename: pool/dists/focal/main/r-cran-npcox_1.3-1.ca2004.1_all.deb
Size: 103924
MD5sum: c07fd6071b1c0fb8fedf8ec33e719002
SHA1: b6e6be8adfd6f1b5a2bb4852b69b7443e18155d6
SHA256: d261acfd3b9e939f5de03cafcc7492727372c5224a5a1a284d2fe41a9a95bb45
SHA512: 06da20e6abf661a40da9295f80a6810adaa7cce6d997d2e312a46ed6285bd0aff31b6948277021594ed1fed75ed43d26a20a48e3707ddca74e21483ea15a5ee2
Homepage: https://cran.r-project.org/package=NPCox
Description: CRAN Package 'NPCox' (Nonparametric and Semiparametric Proportional Hazards Model)
 An estimation procedure for the analysis of nonparametric proportional
 hazards model (e.g. h(t) = h0(t)exp(b(t)'Z)), providing estimation of b(t)
 and its pointwise standard errors, and semiparametric proportional hazards
 model (e.g. h(t) = h0(t)exp(b(t)'Z1 + c*Z2)), providing estimation of b(t),
 c and their standard errors. More details can be found in Lu Tian et al.
 (2005) <doi:10.1198/016214504000000845>.

Package: r-cran-npcs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dfoptim, r-cran-magrittr, r-cran-smotefamily, r-cran-foreach, r-cran-caret, r-cran-formatr, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-tidyr, r-cran-nnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-npcs_0.1.1-1.ca2004.1_all.deb
Size: 365996
MD5sum: b0fd7a035f7d9bae6e1a5caa186a72b1
SHA1: 40f20f497f258faf408c52aded529568632f0739
SHA256: 37c7fc3df8ec5a765bf4813dca35a834b3290a77172091a658345d0bad793857
SHA512: f792357a0c597e9e304577a88e48864bb000fabeb4a305d4126214f5389551f5c3435fc61c0e4ffb5f9b539ad5ffda414ba58f97f3a6cf4642fc4ee40eb5e654
Homepage: https://cran.r-project.org/package=npcs
Description: CRAN Package 'npcs' (Neyman-Pearson Classification via Cost-Sensitive Learning)
 We connect the multi-class Neyman-Pearson classification (NP) problem to the
 cost-sensitive learning (CS) problem, and propose two algorithms (NPMC-CX
 and NPMC-ER) to solve the multi-class NP problem through cost-sensitive
 learning tools. Under certain conditions, the two algorithms are shown to
 satisfy multi-class NP properties. More details are available in the paper
 "Neyman-Pearson Multi-class Classification via Cost-sensitive Learning" (Ye
 Tian and Yang Feng, 2021).

Package: r-cran-npcurepk
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-desctools, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-npcure
Suggests: r-cran-knitr, r-cran-pinp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-npcurepk_1.0-2-1.ca2004.1_all.deb
Size: 287228
MD5sum: 505b9abdcc9b30cc9be7859cbf237ca6
SHA1: ba25b08201f0c20c5688dfee762d645bab83aa93
SHA256: 97e3ec09ae2badcb537a7daa1e69a96d6b179b505167413bc37398cc3d45c6bd
SHA512: be76787069166d3784630da609862f4deafaf4f2d11bf4178e4cb8b4b5d5bdad6a102d4dd580128fe34f712c08fd462089fd06cfd27c8a79817a14fd68f50475
Homepage: https://cran.r-project.org/package=npcurePK
Description: CRAN Package 'npcurePK' (Mixture Cure Model Estimation with Cure Status Partially Known)
 Performs nonparametric estimation in mixture cure models when the cure
 status is partially known. For details, see Safari et al (2021)
 <doi:10.1002/bimj.202100156>, Safari et al (2022)
 <doi:10.1177/09622802221115880> and Safari et al (2023)
 <doi:10.1007/s10985-023-09591-x>.

Package: r-cran-npde
Architecture: all
Version: 3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3676
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-scales, r-cran-ggplot2, r-cran-mclust, r-cran-gridextra, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-npde_3.5-1.ca2004.1_all.deb
Size: 3628756
MD5sum: 56bbcb417529e49d3b27dcf02482c84a
SHA1: 1f6378c8d2c28df1be1d59b805ff4144548e414a
SHA256: 7e418675a78047a25487b9c5874aab2dd9bbe060264078b86923f41e21ff4e86
SHA512: 50e79ef9184b9962c37f37b62f8ca9bbef41a127916cdde8d967719910d4100997df8f3580597f2937842f703e1816c2bd53bb721963a47b388c8c7f38cf1743
Homepage: https://cran.r-project.org/package=npde
Description: CRAN Package 'npde' (Normalised Prediction Distribution Errors for NonlinearMixed-Effect Models)
 Provides routines to compute normalised prediction distribution errors, a
 metric designed to evaluate non-linear mixed effect models such as those
 used in pharmacokinetics and pharmacodynamics.

Package: r-cran-npdoseresponse
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-locpol
Filename: pool/dists/focal/main/r-cran-npdoseresponse_0.1-1.ca2004.1_all.deb
Size: 69992
MD5sum: af09b28b54e7f5f00ec73b5df0dac513
SHA1: 81e8fc50393c6cc4cf02d5c26ab6718c89f5e5a1
SHA256: 604dc365141a74cacdda88f4e53198531f072573f3232f58d856ff6d05213bb9
SHA512: 975ca7c0c8dc518833c7a3d8aa3153a17aadfe9b0ddf60082acf699d4338e46bb93b2a10b7366e2b654db261f23c646e99c667e9e2d59ffab8d8289cfcb7adc8
Homepage: https://cran.r-project.org/package=npDoseResponse
Description: CRAN Package 'npDoseResponse' (Nonparametric Estimation and Inference on Dose-Response Curves)
 A novel integral estimator for estimating the causal effects with continuous
 treatments (or dose-response curves) and a localized derivative estimator
 for estimating the derivative effects. The inference on the dose-response
 curve and its derivative is conducted via nonparametric bootstrap.  The
 reference paper is Zhang, Chen, and Giessing (2024)
 <doi:10.48550/arXiv.2405.09003>.

Package: r-cran-npdsim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-npdsim_1.0.0-1.ca2004.1_all.deb
Size: 116132
MD5sum: f9f38c520c61ad2b753aadb269cdb4a1
SHA1: 2808fa44703f70dc73f6439b0116f323b012dd4b
SHA256: 8056004ab9a0ee4f0b7c2cc94f733e5fb5cf1f9ca22e435e75e60abe667f5692
SHA512: 2d8276620a0ec15b5a7949bad872c8e79358d46857ac89c284f4d9a3b249ebccf134e2674460d823ede49581be2f1aa7ecea60f63380125c85a0e9902fbabf7a
Homepage: https://cran.r-project.org/package=npdsim
Description: CRAN Package 'npdsim' (Simulate Demand and Attributes for New Products)
 Simulate demand and attributes for ready to launch new products during their
 life cycle, or during their introduction and growth phases.  You provide the
 number of products, attributes, time periods and/or other parameters and
 'npdsim' can simulate for you the demand for each product during the
 considered time periods, and the attributes of each product. The simulation
 for the demand is based on the idea that each product has a shape and a
 level, where the level is the cumulative demand over the considered time
 periods, and the shape is the normalized demand across those time periods.

Package: r-cran-npexact
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npexact_0.2-1.ca2004.1_all.deb
Size: 110688
MD5sum: 810a06b0fa86fea762fd9e67ef701f07
SHA1: f1388092b8b1eb5d3917fe9a51cfb5ac6d63976c
SHA256: bd747ef08681415ad37188b893a44ad0c12afd8b5cf568c6771b466744aa2493
SHA512: 3dcddef3d376d26744c73aae8c9c4cfa9136f9c59167867f60f420ebaa1441cbad90c40da5c41ae0de33004fc6884eef6ce00205bfee130840e2bd9e56ce8c27
Homepage: https://cran.r-project.org/package=npExact
Description: CRAN Package 'npExact' (Exact Nonparametric Hypothesis Tests for the Mean, Variance andStochastic Inequality)
 Provides several novel exact hypothesis tests with minimal assumptions on
 the errors. The tests are exact, meaning that their p-values are correct for
 the given sample sizes (the p-values are not derived from asymptotic
 analysis). The test for stochastic inequality is for ordinal comparisons
 based on two independent samples and requires no assumptions on the errors.
 The other tests include tests for the mean and variance of a single sample
 and comparing means in independent samples. All these tests only require
 that the data has known bounds (such as percentages that lie in [0,100].
 These bounds are part of the input.

Package: r-cran-npfd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-siggenes, r-cran-kernsmooth, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-npfd_1.0.0-1.ca2004.1_all.deb
Size: 58924
MD5sum: 4849148cd09538089b1bf0b429b18d14
SHA1: 86dea31402b6ad18a2c5bf01d4896f162c09a216
SHA256: 16348d700d3f5ea7d1b0212d30c60579b90e9b1e1e42bc7febfb06871cb87515
SHA512: 54311b814b6ad901a82f4d28da83ec98e519259bc82774cd3323a91bb006596d49eae7d9bcd922c9b680a4d61ad6115e232f676859972d7ee6185c38044052f7
Homepage: https://cran.r-project.org/package=NPFD
Description: CRAN Package 'NPFD' (N-Power Fourier Deconvolution)
 Provides tools for non-parametric Fourier deconvolution using the N-Power
 Fourier Deconvolution (NPFD) method. This package includes methods for
 density estimation (densprf()) and sample generation (createSample()),
 enabling users to perform statistical analyses on mixed or replicated data
 sets.

Package: r-cran-nph
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3224
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm, r-cran-ggplot2, r-cran-muhaz, r-cran-survival, r-cran-multcomp
Suggests: r-cran-knitr, r-cran-shiny, r-cran-shinycssloaders, r-cran-formatr, r-cran-styler, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nph_2.1-1.ca2004.1_all.deb
Size: 1539512
MD5sum: 8e89e4d682aad27acb554e18abf7072a
SHA1: 1058955eea11386fd4db01ca0d696d4c2b551ee3
SHA256: af6a7ab0f5624623b9798a151a9276a7b49abfb27d348a3706463f84679f2058
SHA512: 02af087b1948ea1b4e7e12107205646c660899ce9311b5101a7ec3fd48c75e86b6dcce23eb6a9e4509eb847fa3a9e3cff30a0c350dc35b67d80e6784a73df944
Homepage: https://cran.r-project.org/package=nph
Description: CRAN Package 'nph' (Planning and Analysing Survival Studies under Non-ProportionalHazards)
 Piecewise constant hazard functions are used to flexibly model survival
 distributions with non-proportional hazards and to simulate data from the
 specified distributions. A function to calculate weighted log-rank tests for
 the comparison of two hazard functions is included. Also, a function to
 calculate a test using the maximum of a set of test statistics from weighted
 log-rank tests (MaxCombo test) is provided. This test utilizes the
 asymptotic multivariate normal joint distribution of the separate test
 statistics. The correlation is estimated from the data. These methods are
 described in Ristl et al. (2021) <doi:10.1002/pst.2062>.  Finally, a
 function is provided for the estimation and inferential statistics of
 various parameters that quantify the difference between two survival curves.
 Eligible parameters are differences in survival probabilities, log survival
 probabilities, complementary log log (cloglog) transformed survival
 probabilities, quantiles of the survival functions, log transformed
 quantiles, restricted mean survival times, as well as an average hazard
 ratio, the Cox model score statistic (logrank statistic), and the Cox-model
 hazard ratio. Adjustments for multiple testing and simultaneous confidence
 intervals are calculated using a multivariate normal approximation to the
 set of selected parameters.

Package: r-cran-nphazardrate
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-nphazardrate_0.1-1.ca2004.1_all.deb
Size: 139400
MD5sum: ef28edab0a3e4af72c1ca7dcb4320c76
SHA1: f458cba47cc01e599f2999a4e2d0ebb6d720e261
SHA256: f03ac124ff128f83bf0674e624c7c348171dd741d35c4a8a8097c89f4ecfb118
SHA512: 53dea71d5c61a75eca08593d7df3437a1908ffbeb076d127de88a032333c57cb341efa0f8515168e80f0e680762f71e40fc2c14e57be977e5bff8ee43e052633
Homepage: https://cran.r-project.org/package=NPHazardRate
Description: CRAN Package 'NPHazardRate' (Nonparametric Hazard Rate Estimation)
 Provides functions and examples for histogram, kernel (classical, variable
 bandwidth and transformations based), discrete and semiparametric hazard
 rate estimators.

Package: r-cran-nphmc
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-smcure
Filename: pool/dists/focal/main/r-cran-nphmc_2.3-1.ca2004.1_all.deb
Size: 46728
MD5sum: 8c64dbf5d0b88e827537ee858d16887d
SHA1: 6826fc11cf532250865843c2d50e0270e7d18604
SHA256: cf31fbec590398478ec47c522c71fd516c281a44e7cbf8dd0ca78c63ca5388f5
SHA512: 9e5a6b186ae83eaf7bbd3f00a6b45fd299cd8945c9c303d0c3104ea2857ef6847ade93a6870cc470bb8b9a7c598adc9f112195fe7490b5fda99e2dc0ede0afb3
Homepage: https://cran.r-project.org/package=NPHMC
Description: CRAN Package 'NPHMC' (Sample Size Calculation for the Proportional Hazards MixtureCure Model)
 An R-package for calculating sample size of a survival trial with or without
 cure fractions.

Package: r-cran-nphpower
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-mvtnorm, r-cran-mass, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nphpower_1.1.0-1.ca2004.1_all.deb
Size: 320308
MD5sum: 59cc84dfd7ad0edfc623ea1e946c3f00
SHA1: 9e6870227b336f0782402ce731ec3eaf73277cae
SHA256: c2e0b7f634d501c124c21c253c8a0253f16ae4bc4d06e60aaea747568c7d8666
SHA512: 7ddf3368924f28fdbc1b0a5e51468dd3651e65cd2adfe49f86ae2dcd019bbc09923f6ea57cc2865b8bf7532d718250b4774d6483d86e6a2c740b68be9275185d
Homepage: https://cran.r-project.org/package=nphPower
Description: CRAN Package 'nphPower' (Sample Size Calculation under Non-Proportional Hazards)
 Performs combination tests and sample size calculation for fixed design with
 survival endpoints using combination tests under either proportional hazards
 or non-proportional hazards. The combination tests include maximum weighted
 log-rank test and projection test. The sample size calculation procedure is
 very flexible, allowing for user-defined hazard ratio function and
 considering various trial conditions like staggered entry, drop-out etc. The
 sample size calculation also applies to various cure models such as
 proportional hazards cure model, cure model with (random) delayed treatments
 effects. Trial simulation function is also provided to facilitate the
 empirical power calculation. The references for projection test and maximum
 weighted logrank test include Brendel et al. (2014) <doi:10.1111/sjos.12059>
 and Cheng and He (2021) <arXiv:2110.03833>. The references for sample size
 calculation under proportional hazard include Schoenfeld (1981)
 <doi:10.1093/biomet/68.1.316> and Freedman (1982)
 <doi:10.1002/sim.4780010204>.  The references for calculation under
 non-proportional hazards include Lakatos (1988) <doi:10.2307/2531910> and
 Cheng and He (2023) <doi:10.1002/bimj.202100403>.

Package: r-cran-nphrct
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-cowplot, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-nphrct_0.1.1-1.ca2004.1_all.deb
Size: 179128
MD5sum: 67833deab69201c1946596ca83d32349
SHA1: 013f08d48ff8074e4680161fcdaa6ce9f9735e7d
SHA256: f0cd6317f4fa87f31c53171a4d9d33acf97fc5ba8a1053e72254e02b4c03b2e9
SHA512: 9d019c042e97938ff62019c0f2dcc058c9ec186fa75736b3c18add836658c15fb05af28c7f0d24986da7c07d46b9cd8e3930b9a38f88d426399b4c34095fb6c8
Homepage: https://cran.r-project.org/package=nphRCT
Description: CRAN Package 'nphRCT' (Non-Proportional Hazards in Randomized Controlled Trials)
 Perform a stratified weighted log-rank test in a randomized controlled
 trial. Tests can be visualized as a difference in average score on the two
 treatment arms. These methods are described in Magirr and Burman (2018)
 <doi:10.48550/arXiv.1807.11097>, Magirr (2020)
 <doi:10.48550/arXiv.2007.04767>, and Magirr and Jimenez (2022)
 <doi:10.48550/arXiv.2201.10445>.

Package: r-cran-npi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-checkluhn, r-cran-checkmate, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-httptest, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npi_0.2.0-1.ca2004.1_all.deb
Size: 119560
MD5sum: 68929e10e0e9a2bab187a345813f3dd7
SHA1: 1eaf696e69871735d36f122fd93f4aa3831f8da2
SHA256: 3df7fc5c280972fe8d70e927146a8c72612a1e76cb5edfbaf06b0d5bf5f3a91c
SHA512: 289f6a467bf7322dd980039cc8f6910d32f34c0657bbd5bb30bfd10b33ed9dd88082e5f7fa1b1cf35dcdc432583b9cfe0f41b8bc5560fe6bb8a311182ef64007
Homepage: https://cran.r-project.org/package=npi
Description: CRAN Package 'npi' (Access the U.S. National Provider Identifier Registry API)
 Access the United States National Provider Identifier Registry API
 <https://npiregistry.cms.hhs.gov/api/>. Obtain and transform administrative
 data linked to a specific individual or organizational healthcare provider,
 or perform advanced searches based on provider name, location, type of
 service, credentials, and other attributes exposed by the API.

Package: r-cran-npintfactrep
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ez, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-npintfactrep_1.5-1.ca2004.1_all.deb
Size: 19504
MD5sum: 8b444141d99055aa9e5463f05342de5d
SHA1: e61aebcd5e507dfbd8df582a431286e66f97963c
SHA256: 04c3076560ec072e2e1f2fc718f64ec540caf907db1964d6a8a887646ff8703e
SHA512: 02b727ddbc87bb8c76589205c2e03b8792f1700e77c1346f43f47733f7d7a0692730dda9050fbc106b47168133ae3c70937c07df43b604b3bafc577afb45528a
Homepage: https://cran.r-project.org/package=npIntFactRep
Description: CRAN Package 'npIntFactRep' (Nonparametric Interaction Tests for Factorial Designs withRepeated Measures)
 Returns nonparametric aligned rank tests for the interaction in two-way
 factorial designs, on R data sets with repeated measures in 'wide' format.
 Five ANOVAs tables are reported. A PARAMETRIC one on the original data, one
 for a CHECK upon the interaction alignments, and three aligned rank tests:
 one on the aligned REGULAR, one on the FRIEDMAN, and one on the KOCH ranks.
 In these rank tests, only the resulting values for the interaction are
 relevant.

Package: r-cran-npistats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npistats_0.1.0-1.ca2004.1_all.deb
Size: 41600
MD5sum: 82cf919ccfbd520319211330695d94c7
SHA1: 312489f223a53f73bb798681e64f4691cb09ed48
SHA256: 40d57c51c218ae3fb880241d61148f5004436626b79be997a5543e981d4bc1c6
SHA512: d79cf26849c20dc0e18901a70ecb18cdb9007c95ac37f4dba8ac1ff0f4d5fd5ba00ca9e4b3053973a44812a8093ab8bff9d9c65ab32ff538b0893f451ea08160
Homepage: https://cran.r-project.org/package=NPIstats
Description: CRAN Package 'NPIstats' (Nonparametric Predictive Inference)
 An implementation of the Nonparametric Predictive Inference approach in R.
 It provides tools for quantifying uncertainty via lower and upper
 probabilities. It includes useful functions for pairwise and multiple
 comparisons: comparing two groups with and without terminated tails,
 selecting the best group, selecting the subset of best groups, selecting the
 subset including the best group.

Package: r-cran-nplplot
Architecture: all
Version: 4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nplplot_4.7-1.ca2004.1_all.deb
Size: 90768
MD5sum: a1969371d240017d460f3cbe407ef698
SHA1: 06077ff914769caa17ec63564ed74d59bde27667
SHA256: 716a7349d35118ab03cba0b3aca335d9498135d9e422dc5aa5dca5ea2b0b5927
SHA512: 162c48d10ab353f9ae20e95bb9bd9ec8e6d939786d0c144581efd7ff10891e91cc1e19046d60507eddd520f4e0267bea8f1acb9b8cafefc9840c9e8d15cb487f
Homepage: https://cran.r-project.org/package=nplplot
Description: CRAN Package 'nplplot' (Plotting Linkage and Association Results)
 Provides routines for plotting linkage and association results along a
 chromosome, with marker names displayed along the top border.  There are
 also routines for generating BED and BedGraph custom tracks for viewing in
 the UCSC genome browser.  The data reformatting program Mega2 uses this
 package to plot output from a variety of programs.

Package: r-cran-nplr
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-runit, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nplr_0.1-8-1.ca2004.1_all.deb
Size: 605824
MD5sum: ff771b09783733aedab6e3d553fe307c
SHA1: 74bbfa78b8c35d00d13bb5686a40dd75a45ca51d
SHA256: 37321011fef4f0fb697bc4269339780449192e18110331c1d56e1d127212f186
SHA512: 7248a7238b27746462ee0df9c623ce05715e7833c46c128c60cb7124ccc601a823da00dfcbf65b3e26c498d4f069403278fcb94890a1f64aa23aaf792e37580e
Homepage: https://cran.r-project.org/package=nplr
Description: CRAN Package 'nplr' (N-Parameter Logistic Regression)
 Performing drug response analyses and IC50 estimations using n-Parameter
 logistic regression. Can also be applied to proliferation analyses.

Package: r-cran-nplstoolbox
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-parafac4microbiome, r-cran-pracma, r-cran-rtensor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nplstoolbox_1.0.0-1.ca2004.1_all.deb
Size: 253688
MD5sum: c14ae53fdf478b31103574bd622504f7
SHA1: 615e1025d2daa86a587b0743cd609a3c0bb21984
SHA256: e922206a847c229454a5497170caf2569161adff4b5215bc51da348bc9579808
SHA512: 56bdd4a68b9ebc9d485113820dbcb992db5d9e850e7e8f5d63e9dabea5828a0600a34ea541ff2da6d6e323145fe5a608751784cbf76f9c66fe0c8776bbb20347
Homepage: https://cran.r-project.org/package=NPLStoolbox
Description: CRAN Package 'NPLStoolbox' (N-Way Partial Least Squares Modelling of Multi-Way Data)
 Creation and selection of N-way Partial Least Squares (NPLS) models.
 Selection of the optimal number of components can be done using ncrossreg().
 NPLS was originally described by Rasmus Bro, see
 <doi:10.1002/%28SICI%291099-128X%28199601%2910%3A1%3C47%3A%3AAID-CEM400%3E3.0.CO%3B2-C>.

Package: r-cran-nplyr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1595
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-gapminder, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-nplyr_0.3.0-1.ca2004.1_all.deb
Size: 1541124
MD5sum: 5c9db8fad9749a16e78734fe3fe35962
SHA1: f06228ecb6f9edd995f061e45b177ec4a20e210b
SHA256: d593da2477a2255066166d40d455f1c9e85795d72cd7594d56ac229402a2eb87
SHA512: 7db329573ce940e6aede485ff079b4b0f2cac5d04f51bf4e3530ad128f1c75a7a78f74d5dc542bf7928726860de95027f0c9e66c7c4ca699e226d0a323aec444
Homepage: https://cran.r-project.org/package=nplyr
Description: CRAN Package 'nplyr' (A Grammar of Nested Data Manipulation)
 Provides functions for manipulating nested data frames in a list-column
 using 'dplyr' <https://dplyr.tidyverse.org/> syntax. Rather than unnesting,
 then manipulating a data frame, 'nplyr' allows users to manipulate each
 nested data frame directly. 'nplyr' is a wrapper for 'dplyr' functions that
 provide tools for common data manipulation steps: filtering rows, selecting
 columns, summarising grouped data, among others.

Package: r-cran-npm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-crayon, r-cran-cli, r-cran-erratum
Filename: pool/dists/focal/main/r-cran-npm_1.0.0-1.ca2004.1_all.deb
Size: 26660
MD5sum: 0ba4a7e01eecaefff280225c998b0028
SHA1: 93b8ee3a1ecf9bad38c23272ec24afeafcf966c9
SHA256: 151df7eaf490c48c8a37d6f5695be9f181db2282437bbe2436dd0faeae824f86
SHA512: 874a7b79d462d5bf1e6ea4b26c850318859b8ff614b335e9456ea57ad0a66f8979099689dd39226045bbb214eb76f893d6ba286af758043b061a419762b5a9bc
Homepage: https://cran.r-project.org/package=npm
Description: CRAN Package 'npm' (Interact with 'NPM')
 Interact with 'NPM' from the 'R Console' to automate tasks and ease access
 to 'JavaScript'.

Package: r-cran-npmlda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npmlda_1.0.0-1.ca2004.1_all.deb
Size: 66068
MD5sum: b2ffa12d90f434a9a9c463fb9ad42371
SHA1: 643bfd8bf8f4dd78f0de9e2e2ead0723d9b1c2fc
SHA256: 70aee34012cd15b8097128d43c7674aec7d53f89296ca42c66c2c0b50237b6d6
SHA512: 57dffbb0c8277d6ed7ab7d7caacef2d36a725a119b7bc4e86885884d2b34c5c772208539b6d752616534fab6c4cfee33e31ba717ac37aea7575d929e89c9cf20
Homepage: https://cran.r-project.org/package=npmlda
Description: CRAN Package 'npmlda' (Nonparametric Models for Longitudinal Data)
 Support the book: Wu CO and Tian X (2018). Nonparametric Models for
 Longitudinal Data.  Chapman & Hall/CRC (to appear); and provide fit for
 using global and local smoothing methods for the conditional-mean and
 conditional-distribution based models with longitudinal Data.

Package: r-cran-npmlecmprsk
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npmlecmprsk_3.0-1.ca2004.1_all.deb
Size: 30488
MD5sum: 6422e1005972e21ef1c8b35db6f23296
SHA1: d25b699870b544690ec60634cdc8dab6998184dd
SHA256: 555d98da9f148088d9822a0ee308f4f271a42f69783c6c4c30bfd51ae34ab8cc
SHA512: cbf0dfd896400ec7c5fcc51f560522e052a761b3a6d7ec319099d4bc3eb8e7f8b06df484faf14bddfc7ad30ebbccfae1294fe3b95dbb17ae138297afdfe5fbc5
Homepage: https://cran.r-project.org/package=NPMLEcmprsk
Description: CRAN Package 'NPMLEcmprsk' (Type-Specific Failure Rate and Hazard Rate on Competing RisksData)
 Given a failure type, the function computes covariate-specific probability
 of failure over time and covariate-specific conditional hazard rate based on
 possibly right-censored competing risk data. Specifically, it computes the
 non-parametric maximum-likelihood estimates of these quantities and their
 asymptotic variances in a semi-parametric mixture model for competing-risks
 data, as described in Chang et al. (2007a).

Package: r-cran-npmlemix
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmosek, r-cran-r.utils, r-cran-dplyr, r-cran-spatstat, r-cran-latexpdf, r-cran-matrix, r-cran-fdrreg, r-cran-rcpp, r-cran-rebayes, r-cran-caman, r-cran-progress, r-cran-pbapply, r-cran-hmisc, r-cran-pracma, r-cran-mosaic
Filename: pool/dists/focal/main/r-cran-npmlemix_1.2-1.ca2004.1_all.deb
Size: 76000
MD5sum: 3b6a02c044872743c866042ceca55d0d
SHA1: 47a198101b9a37e660d8cb793df8f77e23ce6e5c
SHA256: e5b037a84c44c81497de07ffb82d94b310a2e992df50ee972147d86924145f5a
SHA512: cdc36b78c047202ff4d7f5f2a1d0b2fefa4793a87bdf07842be6fd7014731cc3b5dd0ebd41711cce9f73d7f765571102c6cabf6fe79861cc2b70d267418eecd0
Homepage: https://cran.r-project.org/package=NPMLEmix
Description: CRAN Package 'NPMLEmix' (Two-Groups Mixture Model with Covariates)
 We develop three procedures for estimation in a two-groups model with
 covariates. One of them is a nonparametric maximum likelihood estimation
 based approach when the signal distribution is an infinite Gaussian location
 mixture and the signal proportion is a logistic function of the available
 covariates. Two other functions - marg1() and marg2() have also been
 implemented for inference in the above framework. All these methods can be
 used for inference in multiple hypotheses testing. For more information, see
 the paper: Deb, Saha, Guntuboyina and Sen (2019), ''Two-component Mixture
 Model in the Presence of Covariates'' <arXiv:1810.07897v2>.

Package: r-cran-npmlreg
Architecture: all
Version: 0.46-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod
Suggests: r-cran-mass, r-cran-nlme, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-npmlreg_0.46-5-1.ca2004.1_all.deb
Size: 546492
MD5sum: b52e8e8be242221b13c67e038534cd26
SHA1: b644a325b7b37a2155f8b3919168ad85a75d5d28
SHA256: bb751f2f88932f32d1b4e044a4568a8329b3782571769c10553562d62f5eeb87
SHA512: 103f7de5c63e6af2878d253e6040dfff3cf10c192abeecdb5f48cdcad22b5f283f03b77b23bdea252b3326dff8187301da5c1e950d2e18fb38ce87e99b56ec12
Homepage: https://cran.r-project.org/package=npmlreg
Description: CRAN Package 'npmlreg' (Nonparametric Maximum Likelihood Estimation for Random EffectModels)
 Nonparametric maximum likelihood estimation or Gaussian quadrature for
 overdispersed generalized linear models and variance component models.

Package: r-cran-npmr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-npmr_1.3.1-1.ca2004.1_all.deb
Size: 99164
MD5sum: f89b82438c9e9719cc09c573236c3040
SHA1: fa176a764de4004be75d5ea622359366374f7227
SHA256: 76ee178c60a9513d3cb0ba066e8858fc344225dcc9557c92e39dd7c1561dc7a2
SHA512: 6cd51264494078c97caf56f59f695990f3f90cb65801b37936004a1e22fe87942c48187060217e2fd22fcdd0c4412e0c23631f40a2bad93362bc9aad36b03f52
Homepage: https://cran.r-project.org/package=npmr
Description: CRAN Package 'npmr' (Nuclear Penalized Multinomial Regression)
 Fit multinomial logistic regression with a penalty on the nuclear norm of
 the estimated regression coefficient matrix, using proximal gradient
 descent.

Package: r-cran-npmv
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-npmv_2.4.1-1.ca2004.1_all.deb
Size: 65372
MD5sum: a0eda21bc223139830ded6a0a608c165
SHA1: 3d56f70f05316bf6e928894a5e6ae5650de0cca9
SHA256: 338b25349c7cab243bda514d29ff2a16e5f88990f53d0ac5273f97947b0278e9
SHA512: e8d99a88498020634d5ab7059afdf2aaad736d19786bcf6702bd38d5e13810bb8b889af6c19e625b3d6a038d6d65564b5edc4065417d7f81c7697ef0e6f24962
Homepage: https://cran.r-project.org/package=npmv
Description: CRAN Package 'npmv' (Nonparametric Comparison of Multivariate Samples)
 Performs analysis of one-way multivariate data, for small samples using
 Nonparametric techniques. Using approximations for ANOVA Type, Wilks'
 Lambda, Lawley Hotelling, and Bartlett Nanda Pillai Test statics, the
 package compares the multivariate distributions for a single explanatory
 variable.  The comparison is also performed using a permutation test for
 each of the four test statistics. The package also performs an all-subsets
 algorithm regarding variables and regarding factor levels.

Package: r-cran-npordtests
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-npordtests_1.2-1.ca2004.1_all.deb
Size: 131180
MD5sum: a025cd7098a0d4d5fbf8a2c379a863bc
SHA1: fb600d7a551ad19e7980ac9087f8c7dcfd0bf280
SHA256: f57d182712d64be4180577a2dbf8058b05a01a8425a5420aac3137991b3c0492
SHA512: 5504d8d26c1935abf50f1049b1a4533f645490a83915b71dcc2faf29a1b5fae87a92f8cee85d603fce07ed6e25cc31c4821b1c024cedc8e4108061765758244a
Homepage: https://cran.r-project.org/package=npordtests
Description: CRAN Package 'npordtests' (Nonparametric Tests for Equality of Location Against OrderedAlternatives)
 Performs nonparametric tests for equality of location against ordered
 alternatives.

Package: r-cran-npp
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npp_0.6.0-1.ca2004.1_all.deb
Size: 283076
MD5sum: eb9d6acaac6291f5c2480ae2b8c64a06
SHA1: 4919096581ca8bb257247b7d0ea5dabbcf310fb8
SHA256: 520ced96a2a305066ddee7e63c85cf681a6fb3960861097080ff0029178e584e
SHA512: 320d17a467a2bb6148f22590432b79684d548b3aa8932b2f42befc941584726eae88503fdd2dc2e91fd5ab4b72f64185026181092ab8511db022ee00e45f6ab4
Homepage: https://cran.r-project.org/package=NPP
Description: CRAN Package 'NPP' (Normalized Power Prior Bayesian Analysis)
 Posterior sampling in several commonly used distributions using normalized
 power prior as described in Duan, Ye and Smith (2006) <doi:10.1002/env.752>
 and Ibrahim et.al. (2015) <doi:10.1002/sim.6728>.  Sampling of the power
 parameter is achieved via either independence Metropolis-Hastings or random
 walk Metropolis-Hastings based on transformation.

Package: r-cran-nppbib
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nppbib_1.2-0-1.ca2004.1_all.deb
Size: 14692
MD5sum: 4170e8f1d857ad890d5c176154faad3c
SHA1: d4cab8c956c8a1e381c244db887d7d7c5b6c8e1f
SHA256: 523f1b8450e8c234d7249b2f6e2f74f9fd7c660eca0dfd3cbf3c475c71505538
SHA512: 9af311d1faf7e9c836a4f062205d681fe915c2b6bf8d7ebb2ad1380f0b7d0cc970ffbbdbe2bf1e294dcf4386a0ec88d1f19b0d9bbc7536c2286160634e6218dc
Homepage: https://cran.r-project.org/package=nppbib
Description: CRAN Package 'nppbib' (Nonparametric Partially-Balanced Incomplete Block DesignAnalysis)
 Implements a nonparametric statistical test for rank or score data from
 partially-balanced incomplete block-design experiments.

Package: r-cran-npphen
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-ks, r-cran-lubridate
Suggests: r-cran-leaflet, r-cran-sf
Filename: pool/dists/focal/main/r-cran-npphen_2.0.1-1.ca2004.1_all.deb
Size: 320056
MD5sum: 23face351782319cf73e30c245cdb2ef
SHA1: 3aaf1628b7135f022d6d436e861e8b5a7e72b11d
SHA256: 21fb45935daf226b1abd3e0377ef9200b8a0bee562f64d7a46141a054b0006c6
SHA512: a64275c0da8ae347ea62cf9276020e8a9f684984dc0720f2da63edb9fa95d22a6c7888316d9d4e91ba334066064197e80c88713bfdc6ddfb21282387edfdd7a3
Homepage: https://cran.r-project.org/package=npphen
Description: CRAN Package 'npphen' (Vegetation Phenological Cycle and Anomaly Detection using RemoteSensing Data)
 Calculates phenological cycle and anomalies using a non-parametric approach
 applied to time series of vegetation indices derived from remote sensing
 data or field measurements. The package implements basic and high-level
 functions for manipulating vector data (numerical series) and raster data
 (satellite derived products).  Processing of very large raster files is
 supported. For more information, please check the following paper: Chávez et
 al. (2023) <doi:10.3390/rs15010073>.

Package: r-cran-nprcgenekeepr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anytime, r-cran-data.table, r-cran-futile.logger, r-cran-htmltable, r-cran-lifecycle, r-cran-lubridate, r-cran-matrix, r-cran-plotrix, r-cran-readxl, r-cran-rlabkey, r-cran-sessioninfo, r-cran-shiny, r-cran-stringi, r-cran-writexls
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-markdown, r-cran-pkgdown, r-cran-png, r-cran-rmarkdown, r-cran-roxygen2, r-cran-shinybs, r-cran-shinywidgets, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nprcgenekeepr_1.0.7-1.ca2004.1_all.deb
Size: 1701964
MD5sum: 4a74f1cea0fa73c32260ec9d0b876239
SHA1: 356e4f1d0ce6e994c458fac109381ff631555939
SHA256: ff849e56dcd05b296a755194f52387091c84423724a4913a3da0b6622b478b9d
SHA512: 2b65721d0b4d14aaf1727629184cd2e15f5b5f01fd75042ac68ce55dd6c159239a3773fb2411e30a7fa9bc0e63045c03f7f1e9743f222464e6ea069cd8c7f1c9
Homepage: https://cran.r-project.org/package=nprcgenekeepr
Description: CRAN Package 'nprcgenekeepr' (Genetic Tools for Colony Management)
 Provides genetic tools for colony management and is a derivation of the work
 in Amanda Vinson and Michael J Raboin (2015)
 <https://pmc.ncbi.nlm.nih.gov/articles/PMC4671785/> "A Practical Approach
 for Designing Breeding Groups to Maximize Genetic Diversity in a Large
 Colony of Captive Rhesus Macaques ('Macaca' 'mulatto')".  It provides a
 'Shiny' application with an exposed API.  The application supports five
 groups of functions: (1) Quality control of studbooks contained in text
 files or 'Excel' workbooks and of pedigrees within 'LabKey' Electronic
 Health Records (EHR); (2) Creation of pedigrees from a list of animals using
 the 'LabKey' EHR integration; (3) Creation and display of an age by sex
 pyramid plot of the living animals within the designated pedigree; (4)
 Generation of genetic value analysis reports; and (5) Creation of potential
 breeding groups with and without proscribed sex ratios and defined maximum
 kinships.

Package: r-cran-npred
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1805
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-zoo, r-cran-spei, r-cran-wasp, r-cran-knitr, r-cran-ggplot2, r-cran-synthesis, r-cran-testthat, r-cran-bookdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-npred_1.1.0-1.ca2004.1_all.deb
Size: 1595332
MD5sum: 75cd236c85e65173851258e9ec274857
SHA1: 4b83c11528165fd0ce5590496a699a9301d68bca
SHA256: 18f4ddfe399c0d2d3b121c55592db1789ca11c83189d56d354413fae525ed0fc
SHA512: deba5608c8a5e505152c0fd7645319b59d731324e5efbabf51b9447b0c1010f54d668397301854932e98043cdecfd535db6bdaae2a6b126e46fb5822fe405129
Homepage: https://cran.r-project.org/package=NPRED
Description: CRAN Package 'NPRED' (Predictor Identifier: Nonparametric Prediction)
 Partial informational correlation (PIC) is used to identify the meaningful
 predictors to the response from a large set of potential predictors. Details
 of methodologies used in the package can be found in Sharma, A., Mehrotra,
 R. (2014). <doi:10.1002/2013WR013845>, Sharma, A., Mehrotra, R., Li, J., &
 Jha, S. (2016). <doi:10.1016/j.envsoft.2016.05.021>, and Mehrotra, R., &
 Sharma, A. (2006). <doi:10.1016/j.advwatres.2005.08.007>.

Package: r-cran-npreg
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-statmod
Filename: pool/dists/focal/main/r-cran-npreg_1.1.0-1.ca2004.1_all.deb
Size: 717924
MD5sum: 457b28c16138f51268e01f2d675b11d8
SHA1: e0c385c12c688d669a3eebe21d445eaf35545453
SHA256: 5771bf7dfc71b2b7a223c5f3669086fc9940a759ef25d6da0ae0d56a95a06ae3
SHA512: 36edf71d54dd23bf31cddd4fc2cb5b4cfc80dca61590b0428bb37f4c6f62846999e84e6b67e705db243177288559a19020ca7a9c8c3c823e986518e3b6998cda
Homepage: https://cran.r-project.org/package=npreg
Description: CRAN Package 'npreg' (Nonparametric Regression via Smoothing Splines)
 Multiple and generalized nonparametric regression using smoothing spline
 ANOVA models and generalized additive models, as described in Helwig (2020)
 <doi:10.4135/9781526421036885885>. Includes support for Gaussian and
 non-Gaussian responses, smoothers for multiple types of predictors
 (including random intercepts), interactions between smoothers of mixed
 types, eight different methods for smoothing parameter selection, and
 flexible tools for diagnostics, inference, and prediction.

Package: r-cran-npregderiv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npregderiv_1.0-1.ca2004.1_all.deb
Size: 279040
MD5sum: e9fcc2b50dc1f60b5f65dab64c9abb16
SHA1: c2229432b1fdfa382554dbf5d19e3202675e813a
SHA256: a615b06a9755a935379494f092c7f7971e60cba1395a7672e62e3c10ed50568e
SHA512: a8da18126baa5b953beb5805b3e96c0c8b02b779c6876b9b295ebad851a5f206208408ac6517f8211d16307d144f29de710b869c3d3e7575a2b37a12cb463c14
Homepage: https://cran.r-project.org/package=npregderiv
Description: CRAN Package 'npregderiv' (Nonparametric Estimation of the Derivatives of a RegressionFunction)
 Estimating the first and second derivatives of a regression function by the
 method of Wang and Lin (2015) <http://www.jmlr.org/papers/v16/wang15b.html>.

Package: r-cran-nproc
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-e1071, r-cran-randomforest, r-cran-naivebayes, r-cran-mass, r-cran-ada, r-cran-rocr, r-cran-tree
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nproc_2.1.5-1.ca2004.1_all.deb
Size: 401940
MD5sum: eeda1771cf2a64a42fba807204d93903
SHA1: 616d445f847c8795f1770940ed091778a965481f
SHA256: aabe409748fa739ba7ac65593189d21d9ef80eae8287686f9ea49fc8162a7535
SHA512: b421f94dfb338eb344cf6435c7890af83bef632f32d0c99afaed2c2a99155232c39cb34ca9e16eb0383344e0eae79ae1f709fe1f988837039256b473045a1705
Homepage: https://cran.r-project.org/package=nproc
Description: CRAN Package 'nproc' (Neyman-Pearson (NP) Classification Algorithms and NP ReceiverOperating Characteristic (NP-ROC) Curves)
 In many binary classification applications, such as disease diagnosis and
 spam detection, practitioners commonly face the need to limit type I error
 (i.e., the conditional probability of misclassifying a class 0 observation
 as class 1) so that it remains below a desired threshold. To address this
 need, the Neyman-Pearson (NP) classification paradigm is a natural choice;
 it minimizes type II error (i.e., the conditional probability of
 misclassifying a class 1 observation as class 0) while enforcing an upper
 bound, alpha, on the type I error. Although the NP paradigm has a
 century-long history in hypothesis testing, it has not been well recognized
 and implemented in classification schemes. Common practices that directly
 limit the empirical type I error to no more than alpha do not satisfy the
 type I error control objective because the resulting classifiers are still
 likely to have type I errors much larger than alpha. As a result, the NP
 paradigm has not been properly implemented for many classification scenarios
 in practice. In this work, we develop the first umbrella algorithm that
 implements the NP paradigm for all scoring-type classification methods,
 including popular methods such as logistic regression, support vector
 machines and random forests. Powered by this umbrella algorithm, we propose
 a novel graphical tool for NP classification methods: NP receiver operating
 characteristic (NP-ROC) bands, motivated by the popular receiver operating
 characteristic (ROC) curves. NP-ROC bands will help choose in a data
 adaptive way and compare different NP classifiers.

Package: r-cran-nprotreg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nprotreg_1.1.1-1.ca2004.1_all.deb
Size: 505848
MD5sum: e1ceaddd2d4239c0be84079e63acf9bc
SHA1: c5376b019e372942d3c3750bae84d48c92957dbb
SHA256: 7ffbf2872496fd9b69c974882f69f13c76e8842af4003ed7f8dccf7cfbe1ec38
SHA512: 0f64f60d54429f1b103745bc8e4ad2c72e5519e83ec9a63933a8e70b1f95ecd508925b4cb4ee869ac9dac4566dea0640c92a85cb3bff0cf8016dedff458ff790
Homepage: https://cran.r-project.org/package=nprotreg
Description: CRAN Package 'nprotreg' (Nonparametric Rotations for Sphere-Sphere Regression)
 Fits sphere-sphere regression models by estimating locally weighted
 rotations. Simulation of sphere-sphere data according to non-rigid rotation
 models. Provides methods for bias reduction applying iterative procedures
 within a Newton-Raphson learning scheme. Cross-validation is exploited to
 select smoothing parameters. See Marco Di Marzio, Agnese Panzera & Charles
 C. Taylor (2018) <doi:10.1080/01621459.2017.1421542>.

Package: r-cran-nps
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nps_1.1-1.ca2004.1_all.deb
Size: 48104
MD5sum: 7045f7c4b4392b073263fcbec139773e
SHA1: a21236eb01784610e52ff8db521cd0ca98960246
SHA256: 08f8586cbc69eb9aceff1ec96a05b020644bfd10007c9936acf6c66deafbddbd
SHA512: c390a0473f7b15c0a9662508aa5bde5d300bab6d9f4a5778ab5dfc759a883351b57f3437c436fd7bc364e34dcae72c8d83b937daf0ff1c57730f960f69fc4048
Homepage: https://cran.r-project.org/package=NPS
Description: CRAN Package 'NPS' (Convenience Functions and Tests for Working With the NetPromoter Score (NPS))
 Small functions to make working with survey data in the context of a Net
 Promoter programme easier. Specifically, data transformation methods, some
 methods for examining the statistical properties of the NPS, such as its
 variance and standard errors, and some simple inferential testing
 procedures. Net Promoter and NPS are registered trademarks of Bain &
 Company, Satmetrix Systems and Fred Reichheld.

Package: r-cran-npsm
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfit, r-cran-class, r-cran-plyr
Suggests: r-cran-boot, r-cran-survival, r-cran-sm, r-cran-hsaur2, r-cran-remotes, r-cran-profiler, r-cran-car, r-cran-dplyr, r-cran-tree
Filename: pool/dists/focal/main/r-cran-npsm_2.0.0-1.ca2004.1_all.deb
Size: 259764
MD5sum: b489e8d44982be4f64fa763fb8a221d9
SHA1: e10a49482d54de9a76aa886b8608ad4fd9018618
SHA256: 41722ea6c26d0bc057e2ab52d5cfce0596f1a9263e2468e19ad33675e5e5b7bd
SHA512: 6d827b8f3db685b29fef27ca4ddba098e63a33e7533ff1fca71ace2326b0ed80fadbe50f97007eecf0bb52ee7d7c95f9bdbbc4f59ede6171f4141f15df5707b3
Homepage: https://cran.r-project.org/package=npsm
Description: CRAN Package 'npsm' (Nonparametric Statistical Methods)
 Accompanies the book "Nonparametric Statistical Methods Using R, 2nd
 Edition" by Kloke and McKean (2024, ISBN:9780367651350).  Includes methods,
 datasets, and random number generation useful for the study of robust and/or
 nonparametric statistics.  Emphasizes classical nonparametric methods for a
 variety of designs --- especially one-sample and two-sample problems.
 Includes methods for general scores, including estimation and testing for
 the two-sample location problem as well as Hogg's adaptive method.

Package: r-cran-npsr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-infotheo, r-cran-mass, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-npsr_0.1.1-1.ca2004.1_all.deb
Size: 56848
MD5sum: ea5ef4171af8fb5798056df8c4a0872d
SHA1: 293310ba947330bd8d2d089e0752efdf464042b5
SHA256: fbccb7c9cf60fd69d8b78003d098fdfa05da41a8b78e6c8ac025e24552a7ec06
SHA512: eed6e0a4cfb520470d2eda22471d373984142303ebd4465ff43f367b72cae6681e1593c0931a105ad2725e2193b535064018ffe739e30d6d6a62af21f620c22b
Homepage: https://cran.r-project.org/package=npsr
Description: CRAN Package 'npsr' (Validate Instrumental Variables using NPS)
 An R implementation of the Necessary and Probably Sufficient (NPS) test for
 finding valid instrumental variables, as suggested by Amit Sharma (2016,
 Working Paper)
 <http://amitsharma.in/pubs/necessary_probably_sufficient_iv_test.pdf>. The
 NPS test, compares the likelihood that a given set of observational data of
 the three variables Z, X and Y is generated by a valid instrumental variable
 model (Z -> X -> Y) to the likelihood that the data is generated by an
 invalid IV model.

Package: r-cran-npsurv
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lsei
Filename: pool/dists/focal/main/r-cran-npsurv_0.5-0-1.ca2004.1_all.deb
Size: 173620
MD5sum: 94bdf4ba1e04583317aff84d237bac8f
SHA1: ad37e857993637e1da3c94fde38701f68b5dcf21
SHA256: 476bece7a438e22651716f894588632ffa7e3283b5595d88e4e1e5d511a0b4e5
SHA512: 99ee62ee7ccad877f6e144e90df9d689e50aceee8db6ecd04a6b8121134dadd441eec277052244be95932f807778f4e30744e2496251aee581d140f5d23c6817
Homepage: https://cran.r-project.org/package=npsurv
Description: CRAN Package 'npsurv' (Nonparametric Survival Analysis)
 Non-parametric survival analysis of exact and interval-censored
 observations. The methods implemented are developed by Wang (2007)
 <doi:10.1111/j.1467-9868.2007.00583.x>, Wang (2008)
 <doi:10.1016/j.csda.2007.10.018>, Wang and Taylor (2013)
 <doi:10.1007/s11222-012-9341-9> and Wang and Fani (2018)
 <doi:10.1007/s11222-017-9724-z>.

Package: r-cran-npsurvss
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-npsurvss_1.1.0-1.ca2004.1_all.deb
Size: 347220
MD5sum: 2a12d1870f2edfdb73418e5be023ef94
SHA1: 6ead39ba90a68846c5a848f259860899d245c1cf
SHA256: 294649b38bc57b68bfde5369e5eb735e77683a7719f46bebfd8d22b62bdaaa3d
SHA512: d5d9cf4d7f74a40657a4fc02f6751e47ac224ad6d9a4eabbd599bd327399f66be95de23dfb6e681eba09b46a3d12ce5c29b4ccd5754ebdd30780200887fce3df
Homepage: https://cran.r-project.org/package=npsurvSS
Description: CRAN Package 'npsurvSS' (Sample Size and Power Calculation for Common Non-ParametricTests in Survival Analysis)
 A number of statistical tests have been proposed to compare two survival
 curves, including the difference in (or ratio of) t-year survival,
 difference in (or ratio of) p-th percentile survival, difference in (or
 ratio of) restricted mean survival time, and the weighted log-rank test.
 Despite the multitude of options, the convention in survival studies is to
 assume proportional hazards and to use the unweighted log-rank test for
 design and analysis. This package provides sample size and power calculation
 for all of the above statistical tests with allowance for flexible accrual,
 censoring, and survival (eg. Weibull, piecewise-exponential, mixture cure).
 It is the companion R package to the paper by Yung and Liu (2020)
 <doi:10.1111/biom.13196>. Specific to the weighted log-rank test, users may
 specify which approximations they wish to use to estimate the large-sample
 mean and variance. The default option has been shown to provide substantial
 improvement over the conventional sample size and power equations based on
 Schoenfeld (1981) <doi:10.1093/biomet/68.1.316>.

Package: r-cran-nptest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nptest_1.1-1.ca2004.1_all.deb
Size: 185952
MD5sum: 53100417a57d87b1ab4fcf3d9c373c43
SHA1: 58e03923a45c34a5d189f7d956aac213af1d2748
SHA256: c62343e0e0e010637dba63f797bb67b231d827e122e0579076880e50b2e262e7
SHA512: 9682c46f4063a6c141a7ae28b72afa994d429f73a6abe61b8fe477aa0b233518414491050e3c729324977fb59eac51ed77d767d191ace62ad7acfd120026f4ef
Homepage: https://cran.r-project.org/package=nptest
Description: CRAN Package 'nptest' (Nonparametric Bootstrap and Permutation Tests)
 Robust nonparametric bootstrap and permutation tests for location,
 correlation, and regression problems, as described in Helwig (2019a)
 <doi:10.1002/wics.1457> and Helwig (2019b)
 <doi:10.1016/j.neuroimage.2019.116030>. Univariate and multivariate tests
 are supported. For each problem, exact tests and Monte Carlo approximations
 are available. Five different nonparametric bootstrap confidence intervals
 are implemented. Parallel computing is implemented via the 'parallel'
 package.

Package: r-cran-npwbs
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-npwbs_0.2.0-1.ca2004.1_all.deb
Size: 158576
MD5sum: 5bf2c7450ff50be7b1ad6e8fbe99259d
SHA1: 851ff3a0657ba7d6327aea30f2f1ff37155878ac
SHA256: 998ea912d11b40150bd91c2d868b566a403294e06670c97fb3784ca8fa7080bb
SHA512: da325b29cf78679f3e972bb481a217af41658f2f818cf9345be02323fba9f10f920b281225e367df9cdc9874a6206243daef0a21f5de87125399a29e7307e93d
Homepage: https://cran.r-project.org/package=npwbs
Description: CRAN Package 'npwbs' (Nonparametric Multiple Change Point Detection Using WBS)
 Implements the procedure from G. J. Ross (2021) - "Nonparametric Detection
 of Multiple Location-Scale Change Points via Wild Binary Segmentation"
 <arxiv:2107.01742>. This uses a version of Wild Binary Segmentation to
 detect multiple location-scale (i.e. mean and/or variance) change points in
 a sequence of univariate observations, with a strict control on the
 probability of incorrectly detecting a change point in a sequence which does
 not contain any.

Package: r-cran-nrba
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1421
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-srvyr, r-cran-survey, r-cran-svrep, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-nrba_0.3.1-1.ca2004.1_all.deb
Size: 499592
MD5sum: 400e237713e210772937ea92e2d7300e
SHA1: f0dc976ef8771ed85e7b73dccb8c5801ff8d8ef6
SHA256: 66f7152900ac35b6bd7ab59c647926e42d68df2476d5c2157864c17a068399ba
SHA512: 6a7c4e0d71517b9d919882e106d96b7787caeadd376fea3f3aa855e4450eceb2f2462d1c1fe62800996f0aacc81100ad07a93b81fd34bcc13fb0580e6b78696d
Homepage: https://cran.r-project.org/package=nrba
Description: CRAN Package 'nrba' (Methods for Conducting Nonresponse Bias Analysis (NRBA))
 Facilitates nonresponse bias analysis (NRBA) for survey data.  Such data may
 arise from a complex sampling design with features such as stratification,
 clustering, or unequal probabilities of selection. Multiple types of
 analyses may be conducted: comparisons of response rates across subgroups;
 comparisons of estimates before and after weighting adjustments; comparisons
 of sample-based estimates to external population totals; tests of systematic
 differences in covariate means between respondents and full samples; tests
 of independence between response status and covariates; and modeling of
 outcomes and response status as a function of covariates. Extensive
 documentation and references are provided for each type of analysis.
 Krenzke, Van de Kerckhove, and Mohadjer (2005)
 <http://www.asasrms.org/Proceedings/y2005/files/JSM2005-000572.pdf> and Lohr
 and Riddles (2016)
 <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2016002/article/14677-eng.pdf?st=q7PyNsGR>
 provide an overview of the methods implemented in this package.

Package: r-cran-nregression
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-covr, r-cran-simitation
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-nregression_0.5.1-1.ca2004.1_all.deb
Size: 30428
MD5sum: 115b927555321b89efab01046c83cd90
SHA1: 741e7ec42231a8200f3089813b2147af962bac3b
SHA256: d810502a4ed8cc88e733d15e7cd1eaa342cb0b53fbc1e2bcaee2cee52ac60b30
SHA512: 2fcde6ee5526b85a446a00b91b068b33097a6cbd9258d8cb0f389df963027b133e7c99fc01a6c6f4270ef576a34ed84a266c93b8f8e8dbfea3314c0b863cb490
Homepage: https://cran.r-project.org/package=nRegression
Description: CRAN Package 'nRegression' (Simulation-Based Calculations of Sample Size for Linear andLogistic Regression)
 Provides a function designed to estimate the minimal sample size required to
 attain a specific statistical power in the context of linear regression and
 logistic regression models through simulations.

Package: r-cran-nrejections
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-matrixcalc, r-cran-stepwisetest, r-cran-foreach, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nrejections_1.2.0-1.ca2004.1_all.deb
Size: 56128
MD5sum: 9af364ec23658047b86186a42b20d99c
SHA1: 61dae98ee56772b4c722437ae69ae68063be7bd4
SHA256: 33cb32229730f4d3438ce05bd49806993158c11e954c8a1346d2997a49da296f
SHA512: d84f03a1d3c07f3acf941e85a577751be2e58c0160fcb2bd98a200e1487c38a5e8ca7c74693343b5f23416ebac4592ca4f79fc501326cb09dab63f4e0f277d6e
Homepage: https://cran.r-project.org/package=NRejections
Description: CRAN Package 'NRejections' (Metrics for Multiple Testing with Correlated Outcomes)
 Implements methods in Mathur and VanderWeele (in preparation) to
 characterize global evidence strength across W correlated ordinary least
 squares (OLS) hypothesis tests. Specifically, uses resampling to estimate a
 null interval for the total number of rejections in, for example, 95% of
 samples generated with no associations (the global null), the excess hits
 (the difference between the observed number of rejections and the upper
 limit of the null interval), and a test of the global null based on the
 number of rejections.

Package: r-cran-nricens
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-nricens_1.6-1.ca2004.1_all.deb
Size: 73016
MD5sum: f923b08ff20e3c939d28470ed0c993da
SHA1: 0f1a9547874ac768f3aebd1024a390f135f1c846
SHA256: af2ce170641707aed4416ada3d9dede529a9b8320ced66740a8f75807ebd848c
SHA512: 81fd4576726b1210bc73806de39e2ffdf952eb19ed6e5a71cfa2fcd621f33a960832a4f1c80b509d5c573da8d079bf021573ee0fc0e67aa1fdd32aff03ab6a90
Homepage: https://cran.r-project.org/package=nricens
Description: CRAN Package 'nricens' (NRI for Risk Prediction Models with Time to Event and BinaryResponse Data)
 Calculating the net reclassification improvement (NRI) for risk prediction
 models with time to event and binary data.

Package: r-cran-nsae
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlist, r-cran-cluster, r-cran-mass, r-cran-lattice, r-cran-matrix, r-cran-numderiv, r-cran-nlme, r-cran-spgwr, r-cran-semipar
Filename: pool/dists/focal/main/r-cran-nsae_0.4.0-1.ca2004.1_all.deb
Size: 200620
MD5sum: 356a382909ee71ee62c16f8b59f4d589
SHA1: 5e44a2f0ebb433b04d6e039b3282548473760eea
SHA256: f6582636d9a676cd4cdbee202ad3530623574283b9afc26ba46a63b9fe8cca28
SHA512: e4d361724e601e2f94efe1a3c0258405233354c00dbb69220cb95e023ff8056980db8a98be9fd4661888a4ce3af16ab5ca5c2fef30fa60cf7b3c404bf591157c
Homepage: https://cran.r-project.org/package=NSAE
Description: CRAN Package 'NSAE' (Nonstationary Small Area Estimation)
 Executes nonstationary Fay-Herriot model and nonstationary generalized
 linear mixed model for small area estimation.The empirical best linear
 unbiased predictor (EBLUP) under stationary and nonstationary Fay-Herriot
 models and empirical best predictor (EBP) under nonstationary generalized
 linear mixed model along with the mean squared error estimation are
 included. EBLUP for prediction of non-sample area is also included under
 both stationary and nonstationary Fay-Herriot models. This extension to the
 Fay-Herriot model that accounts for the presence of spatial nonstationarity
 was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2015)
 <doi:10.1093/jssam/smu026> and nonstationary generalized linear mixed model
 was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2017)
 <doi:10.1016/j.spasta.2017.01.004>. This package is dedicated to the memory
 of Dr. Hukum Chandra who passed away while the package creation was in
 progress.

Package: r-cran-nsapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-xml2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-nsapi_0.1.1-1.ca2004.1_all.deb
Size: 147028
MD5sum: 8a2229cd501e2be28a3745b3a23951f4
SHA1: a486018e9996bb61e629bda13a9946c67ac19161
SHA256: 255ce835a73eed29c3739451c920538759b37bf9f57ab6bff72b51b1a20f8e79
SHA512: 61ba357076f58923ce362dc760d3a2ce9d375520a0da97eba05127e8cda7286b7627f4b58fe7248fe23f8583e6e4f753eb007d9681943dbdf18222b1c5661413
Homepage: https://cran.r-project.org/package=nsapi
Description: CRAN Package 'nsapi' (Connect to the NS (Dutch Railways) API)
 Access the NS api and download current departure times, disruptions and
 engineering work, the station list, and travel recommendations from station
 to station. All results will be returned as a 'data.frame'.  NS (Nederlandse
 Spoorwegen; Dutch Railways) is the largest train travel provider in the
 Netherlands. for more information about the API itself see
 <https://www.ns.nl/en/travel-information/ns-api>.  To use the API, and this
 package, you will need to obtain a username and password. More information
 about authentication and the use of the functions are described in the
 vignette.

Package: r-cran-nsarfima
Architecture: all
Version: 0.2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nsarfima_0.2.0.0-1.ca2004.1_all.deb
Size: 57844
MD5sum: f0922bc526ba83e57ec626a7768d883a
SHA1: fa73984b581aac28f97e9f7c4a1159eed7247c0b
SHA256: 9940b8635a32b00ff474a748cd95bee1efc9889128cdad0bb71ae4f3264bef18
SHA512: 966a538c688d730e3e0b2f7969b189aaa2eaec13128a164dff6b347822cf343fb07e23453c6abad7d16e47e5539d93bcc4c31dd8386fb1cf03ba09b323c42dd6
Homepage: https://cran.r-project.org/package=nsarfima
Description: CRAN Package 'nsarfima' (Methods for Fitting and Simulating Non-Stationary ARFIMA Models)
 Routines for fitting and simulating data under autoregressive fractionally
 integrated moving average (ARFIMA) models, without the constraint of
 covariance stationarity. Two fitting methods are implemented, a
 pseudo-maximum likelihood method and a minimum distance estimator. Mayoral,
 L. (2007) <doi:10.1111/j.1368-423X.2007.00202.x>. Beran, J. (1995)
 <doi:10.1111/j.2517-6161.1995.tb02054.x>.

Package: r-cran-nscancor
Architecture: all
Version: 0.7.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-cca, r-cran-glmnet, r-cran-mass, r-cran-roxygen2, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-nscancor_0.7.0-6-1.ca2004.1_all.deb
Size: 59204
MD5sum: af94379f9b84907fc5fa6f915686750f
SHA1: ae7f193230049fc56cee2b28db8efd669c2ef69d
SHA256: 1dfaaf1b30d238d51150d3d072a0762fca01cbceb34b2b70e5da7fee6b06b0c6
SHA512: fdc6dcea4819d13748e15ba6a5af3f6bd48b2d201d6d936b00c0f85626b547e5c1deffb5f9252b97218fc86d7afc7a681fd139f5695a7ec3a2c6e466cdb727cb
Homepage: https://cran.r-project.org/package=nscancor
Description: CRAN Package 'nscancor' (Non-Negative and Sparse CCA)
 Two implementations of canonical correlation analysis (CCA) that are based
 on iterated regression. By choosing the appropriate regression algorithm for
 each data domain, it is possible to enforce sparsity, non-negativity or
 other kinds of constraints on the projection vectors. Multiple canonical
 variables are computed sequentially using a generalized deflation scheme,
 where the additional correlation not explained by previous variables is
 maximized. nscancor() is used to analyze paired data from two domains, and
 has the same interface as cancor() from the 'stats' package (plus some extra
 parameters). mcancor() is appropriate for analyzing data from three or more
 domains. See
 <https://sigg-iten.ch/learningbits/2014/01/20/canonical-correlation-analysis-under-constraints/>
 and Sigg et al. (2007) <doi:10.1109/MLSP.2007.4414315> for more details.

Package: r-cran-nsdr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nsdr_0.1.1-1.ca2004.1_all.deb
Size: 267396
MD5sum: e7c27b9f8456ea85bf65fdeb0131e3d5
SHA1: 02609162824d5819f939cf0fba08992187d99c4c
SHA256: 89398d9d78629de4a10cea4de456356695f86b92fc29f4904b8983a633a199dd
SHA512: e4b4a7d38b9f8430e521702015c9c8070f0ba30c8f31121e70302516f8f6e3f27fb9d3431c841fea32f3c2bd457aa4647db6577f836f2044bc14c613432945d3
Homepage: https://cran.r-project.org/package=nsdr
Description: CRAN Package 'nsdr' (Nonlinear Sufficient Dimension Reduction)
 Provides tools to implement both unsupervised and supervised nonlinear
 dimension reduction methods. Principal Component Analysis (PCA), Sliced
 Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE) are
 useful methods to reduce the dimensionality of covariates. However, they
 produce linear combinations of covariates. Kernel PCA, generalized SIR, and
 generalized SAVE address this problem by extending the applicability of the
 dimension reduction problem to nonlinear settings. This package includes a
 comprehensive algorithm for kernel PCA, generalized SIR, and generalized
 SAVE, including methods for choosing tuning parameters and some essential
 functions.

Package: r-cran-nse2r
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-magrittr, r-cran-yahoofinancer
Suggests: r-cran-covr, r-cran-dt, r-cran-httptest, r-cran-shiny, r-cran-shinybs, r-cran-shinycssloaders, r-cran-shinythemes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nse2r_0.1.6-1.ca2004.1_all.deb
Size: 51852
MD5sum: 6693691e7f618ade13420bd6822c68d4
SHA1: c29887ffddd7b470178463656459e410ab4365f0
SHA256: 69704eb3888c59f229b19b9f4ec74523581ffc804b3e9ff8659c9590ad64ad5f
SHA512: f726e39b707219c656bc84906f7380aee70d2d24b43822f6d28eacee974cd5e106e28659544d6fb871016eb1d9a6e7cf844b058553092fd0a8799cf89f997183
Homepage: https://cran.r-project.org/package=nse2r
Description: CRAN Package 'nse2r' (Fetch Data from 'National Stock Exchange (India)')
 Fetch data related to stocks, index, futures & options from the 'NSE
 (National Stock Exchange, India)'. This package is community maintained and
 is not officially supported by 'NSE'. The accuracy of data is only as
 correct as provided on <https://www.nseindia.com>.

Package: r-cran-nseq
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nseq_0.1.1-1.ca2004.1_all.deb
Size: 22096
MD5sum: a3640553086facecceee91d04ee4c96c
SHA1: 7e81de993cb0e37c19aa2321bb9896ed0197c64d
SHA256: 8304051e129b129127b4b5c1eb4deb32cf80eeb99df5cd1799f4373170c7428a
SHA512: c0313081233a86002d74f61ef02075138823ab83a4d7284e1384b28da37c3b1b6c9458c9ed44ab01ff86311da2f23e29ea204f5f9b4111503bc9ec53fd415229
Homepage: https://cran.r-project.org/package=nseq
Description: CRAN Package 'nseq' (Count of Sequential Events)
 Count the occurrence of sequences of values in a vector that meets certain
 conditions of length and magnitude. The method is based on the Run Length
 Encoding algorithm, available with base R, inspired by A. H. Robinson and C.
 Cherry (1967) <doi:10.1109/PROC.1967.5493>.

Package: r-cran-nser
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-magrittr, r-cran-rvest, r-cran-stringr, r-cran-httr, r-cran-googlevis, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-curl, r-cran-reticulate, r-cran-xml2
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-nser_1.5.3-1.ca2004.1_all.deb
Size: 98716
MD5sum: 057576b696bf7311da9776316bb7c743
SHA1: bacda83b4ecda6d08282115916336ec6821aee57
SHA256: bfb7abb4b1774a096ccb7b9e596e2cbc99c89d7faba7bf3088fc1ffc00bc8954
SHA512: 8bdd320eab4e412aa66af638f2ea20822e4dd25c8e63ec5a82c6d9c828e16b707d2457fdebbdc2fb3cfbaf6921774b3df22fee63682e2f0ac81bf1778501b65f
Homepage: https://cran.r-project.org/package=nser
Description: CRAN Package 'nser' (Bhavcopy and Live Market Data from National Stock Exchange (NSE)& Bombay Stock Exchange (BSE) India)
 Download Current & Historical Bhavcopy. Get Live Market data from NSE India
 of Equities and Derivatives (F&O) segment. Data source
 <https://www.nseindia.com/>.

Package: r-cran-nsga2r
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mco
Filename: pool/dists/focal/main/r-cran-nsga2r_1.1-1.ca2004.1_all.deb
Size: 39204
MD5sum: 4e7f2237c12fa424160df064fad66490
SHA1: b8cc58b863403b1f5797d66100e686381df97a99
SHA256: 45e2d75e2920223a8e6fbdd1a6abe29add53f4b445f34dbf622f6140c80540d5
SHA512: 7e7d94be07b690b117cd89a8bd3da1ab9f9b07047880a9e4b57a5f63ce30512bc682a943f033b16f358dfd7aeba259ae45bcc44bae6f71297d9657fd29c83ed8
Homepage: https://cran.r-project.org/package=nsga2R
Description: CRAN Package 'nsga2R' (Elitist Non-Dominated Sorting Genetic Algorithm)
 Box-constrained multiobjective optimization using the elitist non-dominated
 sorting genetic algorithm - NSGA-II.  Fast non-dominated sorting, crowding
 distance, tournament selection, simulated binary crossover, and polynomial
 mutation are called in the main program. The methods are described in Deb et
 al. (2002) <doi:10.1109/4235.996017>.

Package: r-cran-nsga3
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlr, r-cran-parallelmap, r-cran-rpref, r-cran-xgboost
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-nsga3_0.0.3-1.ca2004.1_all.deb
Size: 61840
MD5sum: da96c0134cdd712badb8f948c4187fd8
SHA1: 09fbaa26a2cbc4c441cf66f088ca18d243b0ca39
SHA256: 82deee4028855887cc3ab549141b26b005e319988a93d87234b71143c0e49314
SHA512: 71c573598f116ce1061b9cabaed94df16d69938d8db9117f79b61fc017f2b2957e9b9f2232f7f6755f6572762d2e81fd3843a9aa98089c4c264704690f23db0d
Homepage: https://cran.r-project.org/package=nsga3
Description: CRAN Package 'nsga3' (An Implementation of Non-Dominated Sorting Genetic Algorithm IIIfor Feature Selection)
 An adaptation of Non-dominated Sorting Genetic Algorithm III for multi
 objective feature selection tasks. Non-dominated Sorting Genetic Algorithm
 III is a genetic algorithm that solves multiple optimization problems
 simultaneously by applying a non-dominated sorting technique. It uses a
 reference points based selection operator to explore solution space and
 preserve diversity. See the original paper by K. Deb and H. Jain (2014)
 <DOI:10.1109/TEVC.2013.2281534> for a detailed description.

Package: r-cran-nsgp
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1689
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-nsgp_1.0.5-1.ca2004.1_all.deb
Size: 1695472
MD5sum: 3dbb42c33ddc0c5ef166d2a38eeb059c
SHA1: 2841ada8a8038763567922ad35b4a6eb4289f769
SHA256: f700e349555bc30cc3b14d9b33631d46c3de77fed1cfeab6b868f614006b574a
SHA512: 7ee3dc72a4503110023bb1cd1305226bc7d08ab1a0498fc6d34c5ba531197d9b43e8443840e022c86322f1a52c33ddebf929e8b58447ec7655097338d45eb0dd
Homepage: https://cran.r-project.org/package=nsgp
Description: CRAN Package 'nsgp' (Non-Stationary Gaussian Process Regression)
 A Gaussian process regression using a Gaussian kernel for both one-sample
 and two-sample cases. Includes non-stationary Gaussian kernel (exponential
 decay function) and several likelihood ratio tests for differential testing
 along target points.

Package: r-cran-nsm3data
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-nsm3
Filename: pool/dists/focal/main/r-cran-nsm3data_0.1-1.ca2004.1_all.deb
Size: 158616
MD5sum: 523528fac63a7413d63db9333ccfa38f
SHA1: cd3c8d7b27ccdba119b5217e088135ecbb174f56
SHA256: f9c23b3db814d792b8ee42c1fbb1c4758ad22808359f0c99abffd1b58b0ee1c2
SHA512: f3c053d266d50d6249b30f128191206376d9c47ca508088e2e6e252813a2bce6f4c021910c1b20926a38324711f36e614431b3fe829407d8ccb72b217985ad98
Homepage: https://cran.r-project.org/package=nsm3data
Description: CRAN Package 'nsm3data' (Datasets to Accompany Hollander, Wolfe, and Chicken NSM3)
 Designed to add datasets which are used in the Nonparametric Statistical
 Methods textbook, 3rd edition.

Package: r-cran-nso1212
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-nso1212_1.4.0-1.ca2004.1_all.deb
Size: 37336
MD5sum: b96f15ed82c290869c3f577cf5b93d7d
SHA1: 57fef24a7b25394c69d2427de7368eccfb6c7970
SHA256: bdf3e5dcaa2071b1b3b1d320bb8e1f5fc9af9d84a38054591184d1b2b567613f
SHA512: 6606eab2395778cb1b58350efb500bab3f345eefe64772de433efa0c9964307c85494c35e853829e5d0fcc94ab6dd32fa1237169722e409dce2de440dafd260f
Homepage: https://cran.r-project.org/package=NSO1212
Description: CRAN Package 'NSO1212' (National Statistical Office of Mongolia's Open Data API Handler)
 National Statistical Office of Mongolia (NSO) is the national statistical
 service and an organization of Mongolian government. NSO provides open
 access to official data via its API <http://opendata.1212.mn/en/doc>. The
 package NSO1212 has functions for accessing the API service. The functions
 are compatible with the API v2.0 and get data sets and its detailed
 informations from the API.

Package: r-cran-nsp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2929
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-nsp_1.0.0-1.ca2004.1_all.deb
Size: 2967716
MD5sum: 345c4749e610dacfdcc323f4e49a2440
SHA1: 270f4597c624d720e303cb9b142adb92c1c64b87
SHA256: f51736310e2fef2bdcbef1b760b02ff59a65eeb106479109c2d0fb2d363a70d7
SHA512: e383f392e88700da2a656273ccebf3e9802cd64570d5891679a00e08f2acefd52cb7c7a2bd1705e326dadf0dd0a7f267a1eb50517a8b58ffb9458a1f0b1891a0
Homepage: https://cran.r-project.org/package=nsp
Description: CRAN Package 'nsp' (Inference for Multiple Change-Points in Linear Models)
 Implementation of Narrowest Significance Pursuit, a general and flexible
 methodology for automatically detecting localised regions in data sequences
 which each must contain a change-point (understood as an abrupt change in
 the parameters of an underlying linear model), at a prescribed global
 significance level.  Narrowest Significance Pursuit works with a wide range
 of distributional assumptions on the errors, and yields exact desired
 finite-sample coverage probabilities, regardless of the form or number of
 the covariates. For details, see P. Fryzlewicz (2021)
 <https://stats.lse.ac.uk/fryzlewicz/nsp/nsp.pdf>.

Package: r-cran-nspmix
Architecture: all
Version: 2.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lsei
Filename: pool/dists/focal/main/r-cran-nspmix_2.0-0-1.ca2004.1_all.deb
Size: 276048
MD5sum: 90626748c2e8f176847f5fac45b26189
SHA1: a575458601f8366947dd3c5ff3dfbad8f9a78f21
SHA256: 787a66cbbbc95709afec03aff2d4d4df345f43d89e13887167a1313948145f2d
SHA512: ecb25020823664918b1e3ab9555b3d3c8b2b69da9c91aec43e439835a2112cd617094b413c8774116e30237070ffa970714d8cc9e720fb836af78fdbc08ba09e
Homepage: https://cran.r-project.org/package=nspmix
Description: CRAN Package 'nspmix' (Nonparametric and Semiparametric Mixture Estimation)
 Mainly for maximum likelihood estimation of nonparametric and semiparametric
 mixture models, but can also be used for fitting finite mixtures. The
 algorithms are developed in Wang (2007)
 <doi:10.1111/j.1467-9868.2007.00583.x> and Wang (2010)
 <doi:10.1007/s11222-009-9117-z>.

Package: r-cran-nsprcomp
Architecture: all
Version: 0.5.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-nsprcomp_0.5.1-2-1.ca2004.1_all.deb
Size: 63896
MD5sum: af50a52e32c7a688a6e83fb57f720cbe
SHA1: fad70689845ba038b7cd9a35c2ebc57bd15e3218
SHA256: d840cbc240b435a1914a740cef7f0e12166d169abc6a8f3466c9bb74619a1f18
SHA512: 8fd9921277147e374f950fb94225bcb6cb5c2c1f8a1f0e279871957d645cdaa390ef14f958de1ec0926a15f9c19191e24164040dbd7ee2ddf4ec833d1d6a1959
Homepage: https://cran.r-project.org/package=nsprcomp
Description: CRAN Package 'nsprcomp' (Non-Negative and Sparse PCA)
 Two methods for performing a constrained principal component analysis (PCA),
 where non-negativity and/or sparsity constraints are enforced on the
 principal axes (PAs). The function 'nsprcomp' computes one principal
 component (PC) after the other. Each PA is optimized such that the
 corresponding PC has maximum additional variance not explained by the
 previous components. In contrast, the function 'nscumcomp' jointly computes
 all PCs such that the cumulative variance is maximal.  Both functions have
 the same interface as the 'prcomp' function from the 'stats' package (plus
 some extra parameters), and both return the result of the analysis as an
 object of class 'nsprcomp', which inherits from 'prcomp'. See
 <https://sigg-iten.ch/learningbits/2013/05/27/nsprcomp-is-on-cran/> and Sigg
 et al. (2008) <doi:10.1145/1390156.1390277> for more details.

Package: r-cran-nsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-bien, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-nsr_0.1.0-1.ca2004.1_all.deb
Size: 42368
MD5sum: 7d04e42cd1b072e976f5aec04aeade1c
SHA1: d6a4ab08de5adb36e0857320c88319799050544b
SHA256: 26964ed4538b1ec4134b45bfb32df97527dcf34d1a2d62d6f7c4001fdf0f0890
SHA512: 2ea1fd191150daaed14219ffa31a2ff207b575d718cc9725a3415dfe67a4a3b80a56546fffaf410cd1c2fba2126ab417d9be10325ef060ed580adf8982305bfa
Homepage: https://cran.r-project.org/package=NSR
Description: CRAN Package 'NSR' ('Native Status Resolver')
 Provides access to the 'Native Status Resolver' (NSR)
 <https://github.com/ojalaquellueva/nsr> API through R. The user supplies
 plant taxonomic names and political divisions and the package returns
 information about their likely native status (e.g., native,
 non-native,endemic), along with information on how those decisions were
 made.

Package: r-cran-nsrfa
Architecture: all
Version: 0.7-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2969
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nsrfa_0.7-17-1.ca2004.1_all.deb
Size: 2488072
MD5sum: 438785428fb26c516fc1b5534646e374
SHA1: de189f6345b08668326aaaee704efdd4683201df
SHA256: bfc28b90f32891592cf94a3efc8c1edad490194216ae9116f725930b74c7bde6
SHA512: 7c91d3b5dbd44c5d3f5ff2a81aff1887071494ab59d805b93da56aa632c79554e3d464e7c8f70d99d3b36b70c6060c46c0514c9d4eabe8d6ba90fa593cfadce6
Homepage: https://cran.r-project.org/package=nsRFA
Description: CRAN Package 'nsRFA' (Non-Supervised Regional Frequency Analysis)
 A collection of statistical tools for objective (non-supervised)
 applications of the Regional Frequency Analysis methods in hydrology.  The
 package refers to the index-value method and, more precisely, helps the
 hydrologist to: (1) regionalize the index-value; (2) form homogeneous
 regions with similar growth curves; (3) fit distribution functions to the
 empirical regional growth curves.  Most of the methods are those described
 in the Flood Estimation Handbook (Centre for Ecology & Hydrology, 1999,
 ISBN:9781906698003).  Homogeneity tests from Hosking and Wallis (1993)
 <doi:10.1029/92WR01980> and Viglione et al. (2007)
 <doi:10.1029/2006WR005095> are available.

Package: r-cran-nsroc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sde, r-cran-survival
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-nsroc_1.1-1.ca2004.1_all.deb
Size: 203408
MD5sum: 62c491c886870ef0de4d198ef499a7a5
SHA1: 70c892133125a9e891522324f2ce4970d03c3cd1
SHA256: 96dd72d4c3d0fa59c4bc4819cdd82e97e44527d63858159cf91cb982f615637b
SHA512: 5685043c993ac9ba7e14fb5b7f131e6f551c76ca96aed955cfb912fb626e07c94aed78af143610cde234899eda9d9110d6d2ca3146e50ff2016ed7929e5ec555
Homepage: https://cran.r-project.org/package=nsROC
Description: CRAN Package 'nsROC' (Non-Standard ROC Curve Analysis)
 Tools for estimating Receiver Operating Characteristic (ROC) curves,
 building confidence bands, comparing several curves both for dependent and
 independent data, estimating the cumulative-dynamic ROC curve in presence of
 censored data, and performing meta-analysis studies, among others.

Package: r-cran-nsrr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-digest
Suggests: r-cran-covr, r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2, r-cran-rvest, r-cran-readr
Filename: pool/dists/focal/main/r-cran-nsrr_0.2.0-1.ca2004.1_all.deb
Size: 453128
MD5sum: b0e03634ec81a7deabaa67c158e95002
SHA1: b8638f90b896248e73c82d9808610495b145be55
SHA256: 97e00c769976bfd624c788c8f3518074af4ce63f77bd4c6ec2365f127608b27f
SHA512: cd3a8a9c12efc73d9cc5af74fd0830233bb3267b93048bb4d81564ae7c1f3cd7c449d14938bd27cafd28223fbe3d39ac8dc6ee83f20fa30ac45aa3fd8a18da7b
Homepage: https://cran.r-project.org/package=nsrr
Description: CRAN Package 'nsrr' (Interface to National Sleep Research Resource)
 Allows users to access data from the National Sleep Research Resource
 ('NSRR') <https://sleepdata.org/>.

Package: r-cran-nst
Architecture: all
Version: 3.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-vegan, r-cran-permute, r-cran-ape, r-cran-bigmemory, r-cran-icamp, r-cran-dirichletreg
Filename: pool/dists/focal/main/r-cran-nst_3.1.10-1.ca2004.1_all.deb
Size: 251704
MD5sum: 6e4e1b982135171d82081e1561161f67
SHA1: 0e85bd33317e9d8b44d56d086300222e5e9da826
SHA256: ae047da1831a68eed72ae6ceeff84b8941fbb4d0cc7e7ccb5136bd74791c71c9
SHA512: c0ee48d461b55b6dbaf07085f9cbce81a2bcf2de21b8ad6899722ed81284e8b37fc65f8db7700e3d91ffc1115715504b9947fbddc15c4c876e6303208bb02f8c
Homepage: https://cran.r-project.org/package=NST
Description: CRAN Package 'NST' (Normalized Stochasticity Ratio)
 To estimate ecological stochasticity in community assembly. Understanding
 the community assembly mechanisms controlling biodiversity patterns is a
 central issue in ecology. Although it is generally accepted that both
 deterministic and stochastic processes play important roles in community
 assembly, quantifying their relative importance is challenging. The new
 index, normalized stochasticity ratio (NST), is to estimate ecological
 stochasticity, i.e. relative importance of stochastic processes, in
 community assembly. With functions in this package, NST can be calculated
 based on different similarity metrics and/or different null model
 algorithms, as well as some previous indexes, e.g. previous Stochasticity
 Ratio (ST), Standard Effect Size (SES), modified Raup-Crick metrics (RC).
 Functions for permutational test and bootstrapping analysis are also
 included. Previous ST is published by Zhou et al (2014)
 <doi:10.1073/pnas.1324044111>. NST is modified from ST by considering two
 alternative situations and normalizing the index to range from 0 to 1 (Ning
 et al 2019) <doi:10.1073/pnas.1904623116>. A modified version, MST, is a
 special case of NST, used in some recent or upcoming publications, e.g.
 Liang et al (2020) <doi:10.1016/j.soilbio.2020.108023>. SES is calculated as
 described in Kraft et al (2011) <doi:10.1126/science.1208584>. RC is
 calculated as reported by Chase et al (2011) <doi:10.1890/ES10-00117.1> and
 Stegen et al (2013) <doi:10.1038/ismej.2013.93>. Version 3 added NST based
 on phylogenetic beta diversity, used by Ning et al (2020)
 <doi:10.1038/s41467-020-18560-z>.

Package: r-cran-nsum
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-nsum_1.0-1.ca2004.1_all.deb
Size: 84756
MD5sum: 8ed064afc553393935395626c3fa564c
SHA1: bc40bdd51e04cf57a2497931ef6e8102a7a79e1e
SHA256: 06b614b0cb1e2cc7674c8dc4769540b8bc11e4fc210ba1f948e2a2b8f1a71f7b
SHA512: 575285c7adb66f57cac2c1ec4a99010e5516ee6c7390ccd9b21b0ca1588c559f7ccf7b78de8929e79db28fec62fd42043c0d5b2675312c16e4421911a2320d84
Homepage: https://cran.r-project.org/package=NSUM
Description: CRAN Package 'NSUM' (Network Scale Up Method)
 A Bayesian framework for population group size estimation using the Network
 Scale Up Method (NSUM). Size estimates are based on a random degree model
 and include options to adjust for barrier and transmission effects.

Package: r-cran-nswgeo
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cartographer, r-cran-sf
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-httr2, r-cran-nngeo, r-cran-readr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-nswgeo_0.5.0-1.ca2004.1_all.deb
Size: 1286520
MD5sum: 6f359fa7e3d240993697967097a8f6d8
SHA1: 05323680958a92e3505b3014dfc314f87861d60f
SHA256: 98999d778778b0a842cc0d3701a90b6d6801057ebaba0710eda8da0b20aa181e
SHA512: 5fa52d8c764c60db5b97bcff6414863327415f8a4be5e65f38e8d35d7d401e5a89ec17dd235c5ddd4bced55edfdcf9d0c8601a58b93e21815fa49cc59b44155a
Homepage: https://cran.r-project.org/package=nswgeo
Description: CRAN Package 'nswgeo' (Geospatial Data and Maps for New South Wales, Australia)
 Geospatial data for creating maps of New South Wales (NSW), Australia, and
 some helpers to work with common problems like normalising postcodes.
 Registers its data with 'cartographer'.

Package: r-cran-nsyllable
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 557
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-nsyllable_1.0.1-1.ca2004.1_all.deb
Size: 530056
MD5sum: bb8f746fbfe2c26745e56481a6878fe1
SHA1: e315177e0b92eb2e6ffcb0f77709a26541214284
SHA256: e9cc44b0ec4d87abc9ccf4904735c319cd499bc44163e66acfe85a9771d136f5
SHA512: e7d794aaa29b8731e1f6ff51e217e9f6a129c3f7d4680b448519e778cb5f764033b765fd9b5c46f2089d88a1659e1e8dd609f4be42831ddf4ab2e7e20623ed82
Homepage: https://cran.r-project.org/package=nsyllable
Description: CRAN Package 'nsyllable' (Count Syllables in Character Vectors)
 Counts syllables in character vectors for English words.  Imputes syllables
 as the number of vowel sequences for words not found.

Package: r-cran-ntdr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr2, r-cran-lubridate, r-cran-purrr, r-cran-rappdirs, r-cran-readxl, r-cran-rlang, r-cran-rvest, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ntdr_0.4.0-1.ca2004.1_all.deb
Size: 93788
MD5sum: 9047b58d88f6138893eb8f41ca1fbf2c
SHA1: 6fd55e575f286588b4909d33c3034f68177cd3ee
SHA256: 5757112169cddc414b9fd2c19ac4a99f646b7cf7891540d0a13cbf6b1a263ef9
SHA512: c9fc663fac082a5a7b10eb42aa2b94dd50b14cbf29ee39760441b458d9ebfb7582020cbf0106d56962372b191c85e32282b4f985eb07861ae4bedbdfce4842aa
Homepage: https://cran.r-project.org/package=ntdr
Description: CRAN Package 'ntdr' (Retrieve Data from the National Transit Database)
 Downloads the latest 'National Transit Database' data, processes it, and
 returns in a tidy data format.

Package: r-cran-ntfy
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ntfy_0.0.6-1.ca2004.1_all.deb
Size: 302896
MD5sum: cd661bab09f56c1dafecac81171b78db
SHA1: eaa07c9733a3f28985ee009404fa2bbfa5e29883
SHA256: 70ba4564af3f8618fd15a830f74bac458a78183c023e46c3215b6461a25baf9b
SHA512: 2bd7bd2aa62a24899d16f26482eba14add229e818b90787743973db92f909e0846998e3251303ebb4033d0180171d347bc9ee11308bb6adf3cb65277583d657c
Homepage: https://cran.r-project.org/package=ntfy
Description: CRAN Package 'ntfy' (Lightweight Wrapper to the 'ntfy.sh' Service)
 The 'ntfy' (pronounce: notify) service is a simple HTTP-based pub-sub
 notification service. It allows you to send notifications to your phone or
 desktop via scripts from any computer, entirely without signup, cost or
 setup. It's also open source if you want to run your own.  Visit
 <https://ntfy.sh> for more details.

Package: r-cran-ntlkwiex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ntlkwiex_0.1.0-1.ca2004.1_all.deb
Size: 48760
MD5sum: 83d4b7095ea609b8ce5d7058852e25a9
SHA1: 143cfd05bcb9dac31c3733273988d0508dfd5056
SHA256: 764e9f846610f0895172f954bd125791040a93088157288ba56df2c09e480e31
SHA512: 90cc25cf240999a34bf36bb29102d63f0f3c847717522265a78c996f5f97218e262dba1102addefa887b0802445cb7fa38135e646a37ac28ddf329a3e2030af7
Homepage: https://cran.r-project.org/package=NTLKwIEx
Description: CRAN Package 'NTLKwIEx' (Computation of NTLKwIEx Distribution Properties)
 Implements statistical tools for analyzing, simulating, and computing
 properties of the New Topp-Leone Kumaraswamy Inverse Exponential (NTLKwIEx)
 distribution. See Atchadé M, Otodji T, and Djibril A (2024)
 <doi:10.1063/5.0179458> and Atchadé M, Otodji T, Djibril A, and N'bouké M
 (2023) <doi:10.1515/phys-2023-0151> for details.

Package: r-cran-ntranova
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ntranova_0.0.1-1.ca2004.1_all.deb
Size: 20960
MD5sum: 59e8bdc61ff902163791a97f8c03b05e
SHA1: 4ac0c33b10e58594dfffff8f5c930e742ccd0d34
SHA256: ff46a98b9a4b752218ecb05c3d9b75a5d2664e5f82f9937f29a4b0f6633a2744
SHA512: fd5ab8d88c5d97ca03c6c7b15272f4710c419e1f0c194741c688a29f205470a32ed00cb13e68c3e9a9f16b5bef85aa00c30b45b46169d47369e5ed3db3fdbd5f
Homepage: https://cran.r-project.org/package=ntranova
Description: CRAN Package 'ntranova' (Two Way Neutrosophic ANOVA)
 Dealing with neutrosophic data of the form N=D+I(where N is a Neutrosophic
 number ,D is the determinant part of the number and I is the indeterminacy
 part) using the neutrosophic two way anova test keeps the type I error low.
 This algorithm calculates the fisher statistics when we have a neutrosophic
 data, also tests two hypothesizes, first is to test differences between
 treatments, and second is to test differences between sectors. For more
 information see Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed
 Bisher(2022) <https://www.americaspg.com/articleinfo/21/show/1058>.

Package: r-cran-nts
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dlm, r-cran-mass, r-cran-mswm, r-cran-rdpack, r-cran-tensor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nts_1.1.3-1.ca2004.1_all.deb
Size: 380676
MD5sum: 87bdd97b38f5978475fa7a3e3ae5bac8
SHA1: 496715c58aa5a57e856ed482de707a4e761eca08
SHA256: 2496755eac32d14125ee975195aec0a84bad8527e2701dc015947056cd45a127
SHA512: 23584407acccd3851ac86cc2c4d205c3207e9e2ea3347afc082cd8481b0c8ed64b12d2e26a3d15a66a6770fb402ddc02c279bc3720701bfacf6f3d42262db6d5
Homepage: https://cran.r-project.org/package=NTS
Description: CRAN Package 'NTS' (Nonlinear Time Series Analysis)
 Simulation, estimation, prediction procedure, and model identification
 methods for nonlinear time series analysis, including threshold
 autoregressive models, Markov-switching models, convolutional functional
 autoregressive models, nonlinearity tests, Kalman filters and various
 sequential Monte Carlo methods. More examples and details about this package
 can be found in the book "Nonlinear Time Series Analysis" by Ruey S. Tsay
 and Rong Chen, John Wiley & Sons, 2018 (ISBN: 978-1-119-26407-1).

Package: r-cran-ntsdatasets
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ntsdatasets_0.2.0-1.ca2004.1_all.deb
Size: 199372
MD5sum: 092bd8f5f70230e5eb5d02a8b8e8e48b
SHA1: 18c38449a070444f565e2265b62da4669528990e
SHA256: 81abb969867f4cb94c7e9d063b5391df0140ee3d55cad06f655e5a299e6efca0
SHA512: aba1c475ad5f5e6036343ae4161cc951bd28d1f6618964d6336d3e10adf7d0c5d60ef55ebc59c0677b8814f4086d3f020b07059173db21373aaf2eeaada9fdb1
Homepage: https://cran.r-project.org/package=ntsDatasets
Description: CRAN Package 'ntsDatasets' (Neutrosophic Data Sets)
 Provides a collection of datasets related to neutrosophic sets for
 statistical modeling and analysis.

Package: r-cran-ntsdists
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ntsdists_2.1.1-1.ca2004.1_all.deb
Size: 193412
MD5sum: 0dd5f1c842d523a7848631a7f44bab0f
SHA1: ec1912ac0457d0623cc3807640c9f6408ea6d7b8
SHA256: 3604ab7a30bfd2e903be95d3e29214c8413a5dc520196c1fb7543f4f475c68c2
SHA512: 3c46df7ad847e879b27c077d94ee91bc97202899eb9f0eff90b8d369cbf73a23f4937ab56ca18adf1dd9cff2ae07a15aed86770b744f560959c754f3e996c75b
Homepage: https://cran.r-project.org/package=ntsDists
Description: CRAN Package 'ntsDists' (Neutrosophic Distributions)
 Computes the pdf, cdf, quantile function and generating random numbers for
 neutrosophic distributions. This family have been developed by different
 authors in the recent years. See Patro and Smarandache (2016)
 <doi:10.5281/zenodo.571153> and Rao et al (2023)
 <doi:10.5281/zenodo.7832786>.

Package: r-cran-ntss
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.random, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.univar, r-cran-spatstat.model, r-cran-ks, r-cran-get, r-cran-geor
Filename: pool/dists/focal/main/r-cran-ntss_0.1.3-1.ca2004.1_all.deb
Size: 109528
MD5sum: 61ef4048ad0cd265593ad910a634787c
SHA1: 2dc580aca3692eb9030ee2820a0be4e748461ca3
SHA256: dd73a03680631e97694e8c2ae6bfdb43187026e70910e64f0dcb41445d4c7600
SHA512: c962ab4d66fb054f777099293d5b046c5cef709b99f4ae9c9dfd5841b27d69ea884d47189d11a050798ba9acf6fad711f20994208f1c6af1923754b943655ff2
Homepage: https://cran.r-project.org/package=NTSS
Description: CRAN Package 'NTSS' (Nonparametric Tests in Spatial Statistics)
 Nonparametric test of independence between a pair of spatial objects (random
 fields, point processes) based on random shifts with torus or variance
 correction. See Mrkvička et al. (2021) <doi:10.1016/j.spasta.2020.100430>,
 Dvořák et al. (2022) <doi:10.1111/insr.12503>, Dvořák and Mrkvička (2024)
 <doi:10.1080/10618600.2024.2357626>.

Package: r-cran-nu.learning
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2227
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-nu.learning_1.5-1.ca2004.1_all.deb
Size: 2235112
MD5sum: 7b752dc8e69c5a3838ff3dfb825c5c1e
SHA1: fe5cd46809fd11355887776e2d150f7e37e908b3
SHA256: c31925cf2c8e764882b2b61afa975e251ff285868781fab41c97432ad3229059
SHA512: 1a9a732c1670c506fc5bf96f61697f0790ee4dde01f3fef1abe75af3a19f3061781143f472c65974a4bd92bba89be4c3e1706beff02c0aea8d06fbc1eecc9026
Homepage: https://cran.r-project.org/package=NU.Learning
Description: CRAN Package 'NU.Learning' (Nonparametric and Unsupervised Learning from Cross-SectionalObservational Data)
 Especially when cross-sectional data are observational, effects of treatment
 selection bias and confounding are best revealed by using Nonparametric and
 Unsupervised methods to "Design" the analysis of the given data ...rather
 than the collection of "designed data".  Specifically, the "effect-size
 distribution" that best quantifies a potentially causal relationship between
 a numeric y-Outcome variable and either a binary t-Treatment or continuous
 e-Exposure variable needs to consist of BLOCKS of relatively well-matched
 experimental units (e.g. patients) that have the most similar X-confounder
 characteristics.  Since our NU Learning approach will form BLOCKS by
 "clustering" experimental units in confounder X-space, the implicit
 statistical model for learning is One-Way ANOVA. Within Block measures of
 effect-size are then either [a] LOCAL Treatment Differences (LTDs) between
 Within-Cluster y-Outcome Means ("new" minus "control") when treatment choice
 is Binary or else [b] LOCAL Rank Correlations (LRCs) when the e-Exposure
 variable is numeric with (hopefully many) more than two levels. An
 Instrumental Variable (IV) method is also provided so that Local Average
 y-Outcomes (LAOs) within BLOCKS may also contribute information for
 effect-size inferences when X-Covariates are assumed to influence Treatment
 choice or Exposure level but otherwise have no direct effects on y-Outcomes.
 Finally, a "Most-Like-Me" function provides histograms of effect-size
 distributions to aid Doctor-Patient (or Researcher-Society) communications
 about Heterogeneous Outcomes.  Obenchain and Young (2013)
 <doi:10.1080/15598608.2013.772821>; Obenchain, Young and Krstic (2019)
 <doi:10.1016/j.yrtph.2019.104418>.

Package: r-cran-nucim
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-ebimage, r-cran-bioimagetools, r-cran-fields, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-nucim_1.0.11-1.ca2004.1_all.deb
Size: 210220
MD5sum: 9b09f31881ff67f82e0d214fed9154ef
SHA1: 2de0470e45fc8a9a55a95e213c481afb20779bb6
SHA256: 61504c732b3640ee3fd3dc62b0f6529936c2e3e6f7df341cf2c3b5827a3c5507
SHA512: 762eb626aae2954d7d53c775a96f6a5ec1eec3e63c159e1c4a33207cc348012889d54529acf5cbed256df6a50d902766d44c96a20d82959b4d628787d736084e
Homepage: https://cran.r-project.org/package=nucim
Description: CRAN Package 'nucim' (Nucleome Imaging Toolbox)
 Tools for 4D nucleome imaging.  Quantitative analysis of the 3D nuclear
 landscape recorded with super-resolved fluorescence microscopy.  See Volker
 J. Schmid, Marion Cremer, Thomas Cremer (2017)
 <doi:10.1016/j.ymeth.2017.03.013>.

Package: r-cran-nucombog
Architecture: all
Version: 1.0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1939
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-nucombog_1.0.4.2-1.ca2004.1_all.deb
Size: 441264
MD5sum: e3f370113cb1d0ce31084b00cfb65d28
SHA1: fcb7e1c76bddbc1e32b85a0b66dadf6d7cd5b41e
SHA256: c8bd0aacd90963b2c14889208b11b65c311f2142bffa3adde59492848104ef9b
SHA512: a0f3c05fc36bd35e9c5b7c835bcbeb90749f3d81660b4b2f4dc7cd59d544e306b340850b2eec0f1912fe5af2d30627fec97fde718eb0d59b2baea6b36bb9d019
Homepage: https://cran.r-project.org/package=NUCOMBog
Description: CRAN Package 'NUCOMBog' (NUtrient Cycling and COMpetition Model Undisturbed Open BogEcosystems in a Temperate to Sub-Boreal Climate)
 Modelling the vegetation, carbon, nitrogen and water dynamics of undisturbed
 open bog ecosystems in a temperate to sub-boreal climate. The executable of
 the model can downloaded from <https://github.com/jeroenpullens/NUCOMBog>.

Package: r-cran-nueton
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nueton_0.1.0-1.ca2004.1_all.deb
Size: 65268
MD5sum: a3d41394d84890953f528a60022b2bb9
SHA1: 5bde34745ead7a7e114c15726abca2b363cd21d2
SHA256: 6dcac6c8e0655773ad91f819aefe207fdf76517ce540a6e0deaefbc5cae4a85b
SHA512: 20539ae93c14df1f8949f959fdeb0a0d64e240a5b2e251dda08e669d547dc0cd3501a44f97a8019613f0e83da398b8f386f61705d2767d11d14609b8f5a0a86d
Homepage: https://cran.r-project.org/package=NUETON
Description: CRAN Package 'NUETON' (Nitrogen Use Efficiency Toolkit on Numerics)
 Comprehensive R package designed to facilitate the calculation of Nitrogen
 Use Efficiency (NUE) indicators using experimentally derived data. The
 package incorporates 23 parameters categorized into six fertilizer-based,
 four plant-based, three soil-based, three isotope-based, two ecology-based,
 and four system-based indicators, providing a versatile platform for NUE
 assessment. As of the current version, 'NUETON' serves as a starting point
 for users to compute NUE indicators from their experimental data. Future
 updates are planned to enhance the package's capabilities, including robust
 data visualization tools and error margin consideration in calculations.
 Additionally, statistical methods will be integrated to ensure the accuracy
 and reliability of the calculated indicators. All formulae used in 'NUETON'
 are thoroughly referenced within the source code, and the package is
 released as open source software. Users are encouraged to provide feedback
 and contribute to the improvement of this package. It is important to note
 that the current version of 'NUETON' is not intended for rigorous research
 purposes, and users are responsible for validating their results. The
 package developers do not assume liability for any inaccuracies in
 calculations. This package includes content from Congreves KA, Otchere O,
 Ferland D, Farzadfar S, Williams S and Arcand MM (2021) 'Nitrogen Use
 Efficiency Definitions of Today and Tomorrow.' Front. Plant Sci. 12:637108.
 <doi:10.3389/fpls.2021.637108>. The article is available under the Creative
 Commons Attribution License (CC BY) C. 2021 Congreves, Otchere, Ferland,
 Farzadfar, Williams and Arcand.

Package: r-cran-nullabor
Architecture: all
Version: 0.3.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-moments, r-cran-fpc, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-forecast, r-cran-viridis, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nullabor_0.3.15-1.ca2004.1_all.deb
Size: 1877084
MD5sum: 06132725b83de716466adfec0f3c3702
SHA1: f718e2b1f10f9693a9b2747c72d541973a469966
SHA256: 8430d168fa33e9c259428d645e19c8213643d44e77bf484f82cf42067a3d684c
SHA512: 593d9cca4b34c0c0e95106edd14527cd67d4643cd92d2ee142821f71d2088b9503c72939789db565112a0bf5be5ee034f4da58e77d460d54df85cacb0f5b7dd8
Homepage: https://cran.r-project.org/package=nullabor
Description: CRAN Package 'nullabor' (Tools for Graphical Inference)
 Tools for visual inference. Generate null data sets and null plots using
 permutation and simulation. Calculate distance metrics for a lineup, and
 examine the distributions of metrics.

Package: r-cran-numberize
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-numberize_1.0.2-1.ca2004.1_all.deb
Size: 26496
MD5sum: 500a1094e2056f35b8cf21170f97e940
SHA1: 07aee632aea28ce1a3bd134aab7afd26cb71c223
SHA256: 8796aa9fabfbdc371c866d9a060849f5f939a1008e4cafa50e0e729d30d0d135
SHA512: 9553552b0e92de74978fe0dbf15f6eca1c2aa651e82761408c128a9345f78730d53e02de1fb5da14b895ab993d4dc99b308569f5346c467f2a3a21058292ff44
Homepage: https://cran.r-project.org/package=numberize
Description: CRAN Package 'numberize' (Convert Words to Numbers in Multiple Languages)
 Converts number spellings into their equivalent numbers.  Supports numbers
 written in English, French, or Spanish.

Package: r-cran-numbers
Architecture: all
Version: 0.8-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-gmp
Filename: pool/dists/focal/main/r-cran-numbers_0.8-5-1.ca2004.1_all.deb
Size: 234020
MD5sum: 2f1980afc50725d73210adc0022e4e08
SHA1: 12f19549672e11ee59c4d75cb4323de6c74d5938
SHA256: 764c56667123a1512a4c72d0335bcaacc64d43fe1ce15a49c4a2f15b62c616d5
SHA512: 5ce08d2d8f33c2023496cac7f2d683dd42aa0d409f0a39406732af7f8293b44bcc70f3545ec4efeef53fc644fa765b2c081bd54b43b49a9a065064ca4745fcf7
Homepage: https://cran.r-project.org/package=numbers
Description: CRAN Package 'numbers' (Number-Theoretic Functions)
 Provides number-theoretic functions for factorization, prime numbers, twin
 primes, primitive roots, modular logarithm and inverses, extended GCD, Farey
 series and continued fractions.  Includes Legendre and Jacobi symbols, some
 divisor functions, Euler's Phi function, etc.

Package: r-cran-numbersbr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-numbersbr_0.0.2-1.ca2004.1_all.deb
Size: 29960
MD5sum: 2d3fdea9f033078be6808f08b07bb2c3
SHA1: 808d812aef4286e7d34cb5796977810938a3434b
SHA256: 844864a9930263caf5be2532149a3735ae3fb9e79acc8055336d3b2195c5919c
SHA512: 206fce53e2119ec3d191d23edcfafefdd16799a9fe9a76751a9d37c3f916419676fd46f89ff47de1e36b7ad6dc47740f9328cebcc785370834dda5f5e91ba076
Homepage: https://cran.r-project.org/package=numbersBR
Description: CRAN Package 'numbersBR' (Validate, Compare and Format Identification Numbers from Brazil)
 Validate, format and compare identification numbers used in Brazil.  These
 numbers are used to identify individuals (CPF), vehicles (RENAVAN),
 companies (CNPJ) and etc.  Functions to format, validate and compare these
 numbers have been implemented in a vectorized way in order to speed up
 validations and comparisons in big datasets.

Package: r-cran-numderiv
Architecture: all
Version: 2016.8-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-numderiv_2016.8-1.1-1.ca2004.1_all.deb
Size: 113632
MD5sum: 73135349cc7ff4969aa55698e429e5d5
SHA1: d30a770cd6614010a806c15521204d7f5bc24f1c
SHA256: 48eb5c9f249bd3e9853a41a9896036649f3a99c80a646cf29ed893e645372e84
SHA512: 114ffefe1f5042472b2ccdaa31a5e4e46169ba35b2f64b61a66ad0c970004ba4527305b224d2d3c7a7fd7bcecb1f5255af8e3ef96a5b5fdcdf0b94f29b9ad489
Homepage: https://cran.r-project.org/package=numDeriv
Description: CRAN Package 'numDeriv' (Accurate Numerical Derivatives)
 Methods for calculating (usually) accurate numerical first and second order
 derivatives. Accurate calculations are done using 'Richardson''s'
 extrapolation or, when applicable, a complex step derivative is available. A
 simple difference method is also provided. Simple difference is (usually)
 less accurate but is much quicker than 'Richardson''s' extrapolation and
 provides a useful cross-check.  Methods are provided for real scalar and
 vector valued functions.

Package: r-cran-numericensembles
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1813
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cubist, r-cran-metrics, r-cran-arm, r-cran-brnn, r-cran-broom, r-cran-car, r-cran-caret, r-cran-corrplot, r-cran-doparallel, r-cran-dplyr, r-cran-e1071, r-cran-earth, r-cran-gam, r-cran-gbm, r-cran-ggplot2, r-cran-glmnet, r-cran-gridextra, r-cran-ipred, r-cran-leaps, r-cran-nnet, r-cran-pls, r-cran-purrr, r-cran-randomforest, r-cran-reactable, r-cran-reactablefmtr, r-cran-readr, r-cran-rpart, r-cran-tidyr, r-cran-tree, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-numericensembles_0.8.0-1.ca2004.1_all.deb
Size: 1010368
MD5sum: 6e48792a60b055c812f945ccdba4cc2f
SHA1: 20977f33e997f27b13c68376e9399dcfdf81e8e7
SHA256: f49e2b9a66c1f341197afbe2f57d9e170538824da5d620d82f5bc09a27e8bbf2
SHA512: fd47c882abcdd8b6b43b283be24dadde914ef4d525c75b48b1209ca6c48867fbcf5873c03ab1e99fbc8e36197d32f63d74258ff53656a51ca3eaf81e08b43d55
Homepage: https://cran.r-project.org/package=NumericEnsembles
Description: CRAN Package 'NumericEnsembles' (Automatically Runs 23 Individual and 17 Ensembles of Models)
 Automatically runs 23 individual models and 17 ensembles on numeric data.
 The package automatically returns complete results on all 40 models, 25
 charts, multiple tables. The user simply provides the data, and answers a
 few questions (for example, how many times would you like to resample the
 data).  From there the package randomly splits the data into train, test and
 validation sets, builds models on the training data, makes predictions on
 the test and validation sets, measures root mean squared error (RMSE),
 removes features above a user-set level of Variance Inflation Factor, and
 has several optional features including scaling all numeric data, four
 different ways to handle strings in the data. Perhaps the most significant
 feature is the package's ability to make predictions using the 40 pre
 trained models on totally new (untrained) data if the user selects that
 feature. This feature alone represents a very effective solution to the
 issue of reproducibility of models in data science. The package can also
 randomly resample the data as many times as the user sets, thus giving more
 accurate results than a single run. The graphs provide many results that are
 not typically found. For example, the package automatically calculates the
 Kolmogorov-Smirnov test for each of the 40 models and plots a bar chart of
 the results, a bias bar chart of each of the 40 models, as well as several
 plots for exploratory data analysis (automatic histograms of the numeric
 data, automatic histograms of the numeric data). The package also
 automatically creates a summary report that can be both sorted and searched
 for each of the 40 models, including RMSE, bias, train RMSE, test RMSE,
 validation RMSE, overfitting and duration.  The best results on the holdout
 data typically beat the best results in data science competitions and
 published results for the same data set.

Package: r-cran-numform
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-numform_0.7.0-1.ca2004.1_all.deb
Size: 381580
MD5sum: 3c77911271681df8caf47599655d48c8
SHA1: 38c47fa04cc2b62cf3359ed99b376f3355b5357b
SHA256: 7407c738414fb52df3f675110008fce50580f2dcb18f7d8bb808fa6973473a99
SHA512: 2ab57e16b515c85b7aa8d2e8e5a945fb07cd427a65cb600f44cd533d7ca00fc3583f91db565344a4387d0171e914baacb888416d8a03e4a60bce2dbe2aa94984
Homepage: https://cran.r-project.org/package=numform
Description: CRAN Package 'numform' (Tools to Format Numbers for Publication)
 Format numbers and plots for publication; includes the removal of leading
 zeros, standardization of number of digits, addition of affixes, and a
 p-value formatter. These tools combine the functionality of several 'base'
 functions such as 'paste()', 'format()', and 'sprintf()' into specific use
 case functions that are named in a way that is consistent with usage, making
 their names easy to remember and easy to deploy.

Package: r-cran-numgen
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-numgen_0.1.1-1.ca2004.1_all.deb
Size: 80824
MD5sum: 3b3f7834372dcc2badce4df521a9f48e
SHA1: 73dfb802bf4b82f094d3f0128620d9adf3bb11e7
SHA256: 2fce67479955d06ffcfe889f803907dce50bb5fc1ff98f130a2bedf886bf227a
SHA512: 84ae2ea0a7165b1bffb8433d68a77f0ea0e31790e5b78ad8ce968d2d28c02ceacdd646edb4e8b8494ae8a77d07dd792eb56c34e9cc137ddd2c2b7314871ccdbd
Homepage: https://cran.r-project.org/package=numGen
Description: CRAN Package 'numGen' (Number Series Generator)
 A number series generator that creates number series items based on
 cognitive models.

Package: r-cran-numkm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-numkm_0.2.0-1.ca2004.1_all.deb
Size: 14356
MD5sum: d5e737406cb1d1364aa6fd76496e06b7
SHA1: ffddbd5a58ed61d1c929e6c0e1f7dc223e6fc5b8
SHA256: cd67d059e23085e93687da0d25131d91afb752e7fd3295d2e019187df68675a7
SHA512: 062312330b7b591c4602940b7d5f3907d0d45d44305bbe4e8dcd7e0b39f93768ee7e461cebf495d1e4b8ff21e785836954c190178a9ad52083f886bb4230ccdb
Homepage: https://cran.r-project.org/package=numKM
Description: CRAN Package 'numKM' (Create a Kaplan-Meier Plot with Numbers at Risk)
 To add the table of numbers at risk below the Kaplan-Meier plot.

Package: r-cran-nutrientr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2, r-cran-dplyr, r-cran-jsonlite, r-cran-qpdf
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-nutrientr_0.1-1.ca2004.1_all.deb
Size: 60924
MD5sum: 52c599184d2cbbc79289c1eb09e064af
SHA1: de8fb9e94e7adbde5d3dd51482b2d0fdbadac6f3
SHA256: 6ffa4975eb1aa2a60b8bc9d086434ff70d7032865780525166c7a89035516b48
SHA512: 132146e161ac845a784c945ffbf155d66da9450a2ef41866cbc9812c7109f30957552014fa3a206c76a63cc819facc6bbdbb79bff772cda9ed56671ae3f88fe5
Homepage: https://cran.r-project.org/package=nutrientr
Description: CRAN Package 'nutrientr' (R Wrapper for the Canadian Nutrient File API)
 Contains functions that wraps the Canadian Nutrient File API available at
 <https://hc-sc.api.canada.ca/en/detail?api=cnf>.  This database reports the
 quantity of nutrients in foods commonly consumed in Canada.

Package: r-cran-nutrientracker
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3661
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-runit, r-cran-knitr, r-bioc-biocstyle, r-cran-rmarkdown, r-bioc-biocgenerics
Filename: pool/dists/focal/main/r-cran-nutrientracker_1.3.0-1.ca2004.1_all.deb
Size: 2937984
MD5sum: 7402511b46e98dc98ce40a2e2e834bbb
SHA1: d053a04b571186e4c09807b4fcd3741b3bc5f851
SHA256: 8bde9b81f49883127aad1daa2763eb099223d2b4931fd60bb205729b9fd9dacd
SHA512: dfc0b62bb7c115ac21f68563cfc5fe850e8392f7760ffd42f42948468617ee4c0e9a5d1f9229c0db81c08cf839c15f9cdff5d9c517c376c4df0303efa8eafc7e
Homepage: https://cran.r-project.org/package=NutrienTrackeR
Description: CRAN Package 'NutrienTrackeR' (Food Composition Information and Dietary Assessment)
 Provides a tool set for food information and dietary assessment. It uses
 food composition data from several reference databases, including: 'USDA'
 (United States), 'CIQUAL' (France), 'BEDCA' (Spain), 'CNF' (Canada) and
 'STFCJ' (Japan). 'NutrienTrackeR' calculates the intake levels for both
 macronutrient and micronutrients, and compares them with the recommended
 dietary allowances (RDA). It includes a number of visualization tools, such
 as time series plots of nutrient intake, and pie-charts showing the main
 foods contributing to the intake level of a given nutrient. A shiny app
 exposing the main functionalities of the package is also provided.

Package: r-cran-nutrinetwork
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-glasso, r-cran-huge, r-cran-tmvtnorm
Filename: pool/dists/focal/main/r-cran-nutrinetwork_0.1.2-1.ca2004.1_all.deb
Size: 135420
MD5sum: 5674050dffe60ea3dcf027f35f0d5bf5
SHA1: 73a869564bb47f91bb17c0bd8670a3b18831f517
SHA256: a53db5d03adaff32237dad4b153012bd0221c037a449c10f8958ada60533b918
SHA512: dc54e28ba783e9e57689b830be214be4b77dece8c99278f1d522b0bf42d353e2271371608a7d338bacbd1bc9e4087cc1dae3f7c18ddfe76c82acb12b258bb969
Homepage: https://cran.r-project.org/package=nutriNetwork
Description: CRAN Package 'nutriNetwork' (Structure Learning with Copula Graphical Model)
 Statistical tool for learning the structure of direct associations among
 variables for continuous data, discrete data and mixed discrete-continuous
 data. The package is based on the copula graphical model in Behrouzi and Wit
 (2017) <doi:10.1111/rssc.12287>.

Package: r-cran-nutrition
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nutrition_1.1.0-1.ca2004.1_all.deb
Size: 23780
MD5sum: ca31b4981b8b95e7be3636e94571d0e9
SHA1: b8bbe775f9109feae5ca803c350cf73dbd7a5840
SHA256: 67d8a2048b79eb0600e33dc00cc9c7c21b49cea6a2291367a7865b30fdd8d82e
SHA512: 501e03ba343d8607e8a3693e2d5d7b4f9badf2daf89ee723b8ddd2745ab95ce5b122d8bdcf8170354557dd9e426899fad4923586104d26d12d3e4625eba3321e
Homepage: https://cran.r-project.org/package=nutrition
Description: CRAN Package 'nutrition' (Useful Functions for People on a Diet)
 Contains a collection of functions for performing different kinds of
 calculation that are of interest to someone following a diet plan.
 Calculators for the Basal Metabolic Rate are based on Mifflin et al. (1990)
 <doi:10.1093/ajcn/51.2.241> and McArdle, W. D., Katch, F. I., & Katch, V. L.
 (2010, ISBN:9780812109917).

Package: r-cran-nuts
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3005
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-distill, r-cran-eurostat, r-cran-formatr, r-cran-ggalluvial, r-cran-ggfittext, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-gridextra, r-cran-kableextra, r-cran-knitr, r-cran-raster, r-cran-rcolorbrewer, r-cran-readr, r-cran-rmarkdown, r-cran-sf, r-cran-stringr, r-cran-terra, r-cran-testthat, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-nuts_1.1.0-1.ca2004.1_all.deb
Size: 2354140
MD5sum: 143e68bd3a48d4fc8af498aea3a663a2
SHA1: 064584726a9ca03cfd114592503ab86213f7dff3
SHA256: 0f6b0f9f48b9f69802e5bee30cae331f1c014b8d0e67f2060266615428a333e4
SHA512: 1ca988878d7f106f4cafe0a9aa4db230a5f0b99796680135c69444d1b9875fe37c31bfda264383312d43c47606aef7a7f1e150856584ecb70bee841af3c7a629
Homepage: https://cran.r-project.org/package=nuts
Description: CRAN Package 'nuts' (Convert European Regional Data)
 Motivated by changing administrative boundaries over time, the 'nuts'
 package can convert European regional data with NUTS codes between versions
 (2006, 2010, 2013, 2016 and 2021) and levels (NUTS 1, NUTS 2 and NUTS 3).
 The package uses spatial interpolation as in Lam (1983)
 <doi:10.1559/152304083783914958> based on granular (100m x 100m) area,
 population and land use data provided by the European Commission's Joint
 Research Center.

Package: r-cran-nvar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-nonlineartseries, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nvar_0.1.0-1.ca2004.1_all.deb
Size: 33820
MD5sum: 1db275cb4d594b9ae726241ae3703078
SHA1: fc52e28a68dc1e6a92183dfc13409dbb91089249
SHA256: 35d019471503b4034aa341d84fa30b6b2dc949731bbcf31c229097144a5c4ae5
SHA512: 4229fac75946f57cb301cef465fd0d62f422dbf8f290267a3ba623b5a563a4736a173695c7d4de5a86a1578115a66e741882a831ef6a6e068cf82732aee40847
Homepage: https://cran.r-project.org/package=NVAR
Description: CRAN Package 'NVAR' (Nonlinear Vector Autoregression Models)
 Estimate nonlinear vector autoregression models (also known as the next
 generation reservoir computing) for nonlinear dynamic systems. The algorithm
 was described by Gauthier et al. (2021) <doi:10.1038/s41467-021-25801-2>.

Package: r-cran-nvctr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1044
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-pracma
Suggests: r-cran-bookdown, r-cran-covr, r-cran-geosphere, r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nvctr_0.1.4-1.ca2004.1_all.deb
Size: 426700
MD5sum: 159e761a7a796ef133106c410c86f157
SHA1: 9dbabbf63857f5e0cb06f08c41084e3f8e62d12f
SHA256: df3128f75ed35c588c3c353975e7e95bd9b1a82b3776ee47d4d093536831bdcc
SHA512: 1c5305e548ea15d62279c3228573098ad5ee48a8b96f5f441e7787118e61c3eb45d5855630e7cb32dbf5475f81c139c4e5cf72303e85ccb2b410b645316d52f2
Homepage: https://cran.r-project.org/package=nvctr
Description: CRAN Package 'nvctr' (The n-vector Approach to Geographical Position Calculationsusing an Ellipsoidal Model of Earth)
 The n-vector framework uses the normal vector to the Earth ellipsoid (called
 n-vector) as a non-singular position representation that turns out to be
 very convenient for practical position calculations.  The n-vector is simple
 to use and gives exact answers for all global positions, and all distances,
 for both ellipsoidal and spherical Earth models.  This package is a
 translation of the 'Matlab' library from FFI, the Norwegian Defence Research
 Establishment, as described in Gade (2010) <doi:10.1017/S0373463309990415>.

Package: r-cran-nycflights13
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4456
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-nycflights13_1.0.2-1.ca2004.1_all.deb
Size: 4514068
MD5sum: 49a93332ab72e6c90698d009ab0f7d2e
SHA1: cb70fbcf54b91954e0cd2156ddc2b90bc4b1a6f6
SHA256: cc62387ec58683d4fcd1adec8425ce7a90758ade7e314228aef1e0e79697761e
SHA512: 4d4a90835af900a2c895a80d68a7492e11b518fbd933c4ea78dcc60498a3737bdd7969c1989f412597c643487d951b28046bec207a14d1af5dd028b32ac51527
Homepage: https://cran.r-project.org/package=nycflights13
Description: CRAN Package 'nycflights13' (Flights that Departed NYC in 2013)
 Airline on-time data for all flights departing NYC in 2013.  Also includes
 useful 'metadata' on airlines, airports, weather, and planes.

Package: r-cran-nycflights23
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5720
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-anyflights
Filename: pool/dists/focal/main/r-cran-nycflights23_0.2.0-1.ca2004.1_all.deb
Size: 5804984
MD5sum: b877bd462facd09e4a6dbbcdc687935f
SHA1: 3768431e8e23428caa6c7359a9a034832c1c000d
SHA256: 6f1223461fbf7d9508a688a3adb5fe75b244698ff7582e7c5eba1e63956c2c7c
SHA512: 92ef73e6576e625440e86f90f43d1287eb9bbda30c163f6ed5e714efd90db905026910be0caea7a782a204739713d3ddb001e8a344f322e688ba84152275517d
Homepage: https://cran.r-project.org/package=nycflights23
Description: CRAN Package 'nycflights23' (Flights and Other Useful Metadata for NYC Outbound Flights in2023)
 Updating the now 10-year-old 'nycflights13' data package. It contains
 information about all flights that departed from the three main New York
 City airports in 2023 and metadata on airlines, airports, weather, and
 planes.

Package: r-cran-nzelect
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4525
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-ggthemes, r-cran-ggally, r-cran-maps, r-cran-mapproj, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-nzelect_0.4.0-1.ca2004.1_all.deb
Size: 3730620
MD5sum: f3c8a8c272a676bb09fa24d793e9490b
SHA1: 7a19b3ff1760857a2789644a475bdaf6d4bd1656
SHA256: 0aa496aa82ba2de8a98fbe7edccb58b9487f2fdd167a8f355158e3ba2589f51a
SHA512: 1a4361f11eaf9c8a015a6680e57ae65055359fbad8feeb455abf3eafae1effb53a4b938a167b251efdf9371db3c49202de6b6057d380393a84d4a8fbcf83abd0
Homepage: https://cran.r-project.org/package=nzelect
Description: CRAN Package 'nzelect' (New Zealand Election Data)
 Convenient access to New Zealand election results by voting place.  Voting
 places have been matched to Regional Council, Territorial Authority, and
 Area Unit, to facilitate matching with additional data.  Opinion polls since
 2002 and some convenience analytical function are also supplied.

Package: r-cran-nzffdr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 777
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-rlang, r-cran-stringi, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-nzffdr_2.1.0-1.ca2004.1_all.deb
Size: 683256
MD5sum: 9f2a25836b07d9a0028f812be3acf427
SHA1: 76d3b5dcb223a3996df43f241c1034c8b3723cb0
SHA256: 66cfbe496cd9fed0b48a7580bc386240a0b5e02eb3258e8711bab8627d209795
SHA512: 5e71eeb1c8ba47b330179e55c621be659613b782344e7feedcefd88a6247ea0a096d434e972e455761b61b60294a1a5b14519cdb097b0293c620a8389808a75c
Homepage: https://cran.r-project.org/package=nzffdr
Description: CRAN Package 'nzffdr' (Import, Clean and Update Data from the New Zealand FreshwaterFish Database)
 Access the New Zealand Freshwater Fish Database from R and a few functions
 to clean the data once in R.

Package: r-cran-nzilbb.labbcat
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-stringr, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-nzilbb.labbcat_1.4-0-1.ca2004.1_all.deb
Size: 402896
MD5sum: 20bfd2d57589cccaebae8ac54d67a552
SHA1: d3994101a9cd59c0dcab512f521244c53ae5ded0
SHA256: 68587df573251dc05034e5744e46119af81947df552cfd8e7a8faf515d7534be
SHA512: 9b8186cf1db3ed1788087e2053cdeae3129d6b35745870b880482aaa54a457e29d3f9262793d6f2ee8751a5b092e240f5c30058c5515e6d23aac8633f5f27b23
Homepage: https://cran.r-project.org/package=nzilbb.labbcat
Description: CRAN Package 'nzilbb.labbcat' (Accessing Data Stored in 'LaBB-CAT' Instances)
 'LaBB-CAT' is a web-based language corpus management system developed by the
 New Zealand Institute of Language, Brain and Behaviour (NZILBB) - see
 <https://labbcat.canterbury.ac.nz>.  This package defines functions for
 accessing corpus data in a 'LaBB-CAT' instance. You must have at least
 version 20230818.1400 of 'LaBB-CAT' to use this package.  For more
 information about 'LaBB-CAT', see Robert Fromont and Jennifer Hay (2008)
 <doi:10.3366/E1749503208000142> or Robert Fromont (2017)
 <doi:10.1016/j.csl.2017.01.004>.

Package: r-cran-nzilbb.vowels
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4735
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-patchwork, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-rstudioapi, r-cran-tibble, r-cran-tidyr, r-cran-forcats, r-cran-glue, r-cran-purrr, r-cran-tidyselect, r-cran-rsample, r-cran-stringr, r-cran-ggrepel, r-cran-gghalves, r-cran-smacof, r-cran-rdpack, r-cran-lifecycle, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-nzilbb.vowels_0.4.1-1.ca2004.1_all.deb
Size: 4557716
MD5sum: d506f368041a59c7a9a25ba742ba9ae4
SHA1: 98c5edbd33fa08df6694cb3dcaeb0c041b083f3e
SHA256: ccca11dcecc391d19c7d1f5984a7c6788365ef96122d98145649e112317689a6
SHA512: bb8dcaa8f8b1d03f69c0909e7cb407a6b4cbd0536c79749c7a7c8576be2140052fb50a8cea558ba37e84438de59f1c4f9013eb2545ba7a493002063d114ac463
Homepage: https://cran.r-project.org/package=nzilbb.vowels
Description: CRAN Package 'nzilbb.vowels' (Vowel Covariation Tools)
 Tools to support research on vowel covariation. Methods are provided to
 support Principal Component Analysis workflows (as in Brand et al. (2021)
 <doi:10.1016/j.wocn.2021.101096> and Wilson Black et al. (2023)
 <doi:10.1515/lingvan-2022-0086>).

Package: r-cran-nzpullover
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-nzpullover_0.3.0-1.ca2004.1_all.deb
Size: 228992
MD5sum: 7be10645d8141cd91a535166c9c105e1
SHA1: 55cf9220a9a8f6354d5c5ba09f551ee8f924d9af
SHA256: 7293fd55b079a2b14540e2726535bd3d1b661cb914a637845ef4e1871b27652d
SHA512: bb1753175608ad64a0a71af589998f370c63fbca479a908d5b46a863d8dfcd967e15dcad603e70274093139db61960b189012632e55c58930f3af656ad4f31f4
Homepage: https://cran.r-project.org/package=nzpullover
Description: CRAN Package 'nzpullover' (Driving Offences in New Zealand Between 2009 and 2016)
 Datasets of driving offences and fines in New Zealand between 2009 and 2017.
 Originally published by the New Zealand Police at
 <http://www.police.govt.nz/about-us/publication/road-policing-driver-offence-data-january-2009-december-2017>.

Package: r-cran-o2ools
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2752
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-outbreaker2, r-cran-incidence2, r-cran-mixtree, r-cran-epicontacts, r-cran-dplyr, r-cran-tidyr, r-cran-furrr, r-cran-ggplot2, r-cran-igraph, r-cran-tidygraph, r-cran-ggraph
Filename: pool/dists/focal/main/r-cran-o2ools_0.0.1-1.ca2004.1_all.deb
Size: 936404
MD5sum: a5176a625801beedf3647b5cd31d0219
SHA1: 07a6c88a267826022f30d8f8af54a87048dba42e
SHA256: 61b991c3305f4d1f051f677097226d085868d71e2dcdee64b69f976f6a9447ec
SHA512: 60348444399fc81b50e9d19a4d71d7b397e6cfcb6256d1675b8f369bf2160701dfe2b2b8da1707ddb5dcb148cd9d52e56a731c717ea26eda6f71ccd67a0a5882
Homepage: https://cran.r-project.org/package=o2ools
Description: CRAN Package 'o2ools' (Tools for 'outbreaker2')
 Streamlines the post-processing, summarization, and visualization of
 'outbreaker2' output via a suite of helper functions. Facilitates tidy
 manipulation of posterior samples, integration with case metadata,
 generation of diagnostic plots and summary statistics.

Package: r-cran-oacolors
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-oacolors_0.0.4-1.ca2004.1_all.deb
Size: 15156
MD5sum: 76fe77e5c0b46fe8985155d08d1ab55c
SHA1: a932dd61f6a4ead9c83d1c293efc108467ed5fd2
SHA256: aef9fe3429a3e19cd85e85ce2c5533e35f9b600e11d9ce47e32150d7966d58fe
SHA512: fa6c55f85824a24913aa5138f8748fd8861d52a47d3c3796b997c8032c5f98f3e172d2c23406f65a710dcc03788a47a4d5c5f5ffbfcfa9038c80aa5dc7f7872b
Homepage: https://cran.r-project.org/package=oaColors
Description: CRAN Package 'oaColors' (OpenAnalytics Colors Package)
 Provides carefully chosen color palettes as used a.o. at OpenAnalytics
 <http://www.openanalytics.eu>.

Package: r-cran-oai
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-plyr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-dbi, r-cran-knitr, r-cran-rsqlite, r-cran-testthat, r-cran-markdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-oai_0.4.0-1.ca2004.1_all.deb
Size: 221080
MD5sum: 06acc9951a3ec357d10472249270bdae
SHA1: 4167a1b64748c53aa9fbe28ed3c4f5822c18c157
SHA256: 30fb010fa6da3101adb94bac866a0cda45f36c32e153fc104148409202d5a2ca
SHA512: aa5da836fc83f6fd6c2a8b5f97c92d25950f557f4706e3642966ddb56171c3a33fa08a3a91053d65b82418d38f8fbdb44c98f0912354dc7f631e348c2481ce6a
Homepage: https://cran.r-project.org/package=oai
Description: CRAN Package 'oai' (General Purpose 'Oai-PMH' Services Client)
 A general purpose client to work with any 'OAI-PMH' (Open Archives
 Initiative Protocol for 'Metadata' Harvesting) service.  The 'OAI-PMH'
 protocol is described at
 <http://www.openarchives.org/OAI/openarchivesprotocol.html>.  Functions are
 provided to work with the 'OAI-PMH' verbs: 'GetRecord', 'Identify',
 'ListIdentifiers', 'ListMetadataFormats', 'ListRecords', and 'ListSets'.

Package: r-cran-oaiharvester
Architecture: all
Version: 0.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-oaiharvester_0.3-5-1.ca2004.1_all.deb
Size: 142588
MD5sum: a4df165a81b398f4cba53da312b851a2
SHA1: 9a95193113c2677f6ec7a9c9d164b199a7c3144f
SHA256: 2731f995bf2bde7b1ab17ed1a6e472cba05785d85549a0379c5740ff52a37896
SHA512: 59792b1550f8fbbf101bf9320b1eb3071ee68ce8dc096ef80bb8064b57649002b4dff6c5c1fde5a09a39fe68409beb505037965d0085b6e8183368a49ce65fb3
Homepage: https://cran.r-project.org/package=OAIHarvester
Description: CRAN Package 'OAIHarvester' (Harvest Metadata Using OAI-PMH Version 2.0)
 Harvest metadata using the Open Archives Initiative Protocol for Metadata
 Harvesting (OAI-PMH) version 2.0 (for more information, see
 <https://www.openarchives.org/OAI/openarchivesprotocol.html>).

Package: r-cran-oaii
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-checkmate, r-cran-httr, r-cran-magrittr
Suggests: r-cran-htmltools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oaii_0.5.0-1.ca2004.1_all.deb
Size: 266820
MD5sum: 6514958d4fedc02f994c314541ba50fe
SHA1: 32857fd94ae50564129eb8f1482357610c61ce3f
SHA256: 72633345fcd2c2a26bd0fdb7e7d6bbce225cf647ff2b61b4419f409c5175ed90
SHA512: b1d358f54a8aaa0065052d4ad17fc1562ec37ae5da6d4ea42be1b84bffc7b4eba0d13e6d2f13ae9041b14d8c3f290b46813694c965107811d18239400d678fd9
Homepage: https://cran.r-project.org/package=oaii
Description: CRAN Package 'oaii' ('OpenAI' API R Interface)
 A comprehensive set of helpers that streamline data transmission and
 processing, making it effortless to interact with the 'OpenAI' API.

Package: r-cran-oaplots
Architecture: all
Version: 0.0.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-oacolors, r-cran-ggplot2
Suggests: r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-oaplots_0.0.25-1.ca2004.1_all.deb
Size: 90300
MD5sum: 39f1165ea544425d27189b42a3adef4c
SHA1: 6335b42dd9714800f8fed3ccd7c973142200d113
SHA256: 8a10ecfb2ee0408b8c8588e60422260b3fdf8c590f10370c8e8612c9ed420095
SHA512: 836a57662aec7785b6cb98b88152daa5fc0b180acfe5c2b2a3fb363ebdd0b08c6a8c34b665cfe54f6054ea5091fcf7b51214333aada39802c20435dad1ae1411
Homepage: https://cran.r-project.org/package=oaPlots
Description: CRAN Package 'oaPlots' (OpenAnalytics Plots Package)
 Offers a suite of functions for enhancing R plots.

Package: r-cran-oarray
Architecture: all
Version: 1.4-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oarray_1.4-9-1.ca2004.1_all.deb
Size: 37500
MD5sum: e1942283df9b05371cc4c22b04929938
SHA1: f67d916b156f926b1a71e9e6408b3a1087db41c5
SHA256: 295ac3fa017a01cdefe795a2e53e0d47a8f001ce92b48682e0b089cc95f37701
SHA512: 3ed169dc3baeaab60578f236def9c66b5e788efa1ef71d6e175e0f509939787dc03e138d54304777c4372c62de23c7427c3c7041f2ce41b3c6a6f62343888cbe
Homepage: https://cran.r-project.org/package=Oarray
Description: CRAN Package 'Oarray' (Arrays with Arbitrary Offsets)
 Generalise the starting point of the array index.

Package: r-cran-oasisr
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spdep, r-cran-measurements, r-cran-sf, r-cran-outliers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oasisr_3.1.1-1.ca2004.1_all.deb
Size: 337700
MD5sum: 992e85d59f64eff31688d97ee0cc1cfd
SHA1: 76e4dc028f23640034d1f01addb085d7298b2f7d
SHA256: 3b1f7a2c204eaf3d69ec83f1edbc40d6d8626753377aaa3e1c2848a34e72b4a2
SHA512: 426c91c4474b8c7068c5d0e9b68f9a47f0becc0c30fd31831d578927b17b67d7181a13f3ed85a317d57349655529e11e5d6fc588d71f7afec275bd819506a573
Homepage: https://cran.r-project.org/package=OasisR
Description: CRAN Package 'OasisR' (Outright Tool for the Analysis of Spatial Inequalities andSegregation)
 A comprehensive set of indexes and tests for social segregation analysis, as
 described in Tivadar (2019) - 'OasisR': An R Package to Bring Some Order to
 the World of Segregation Measurement <doi:10.18637/jss.v089.i07>.  The
 package is the most complete existing tool and it clarifies many ambiguities
 and errors regarding the definition of segregation indices. Additionally,
 'OasisR' introduces several resampling methods that enable testing their
 statistical significance (randomization tests, bootstrapping, and jackknife
 methods).

Package: r-cran-oaxaca
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-oaxaca_0.1.5-1.ca2004.1_all.deb
Size: 238688
MD5sum: cee805edbb23649b9652eae5e3d352f0
SHA1: bc012a32f237df24a78121b6d18d5c763ae35758
SHA256: 069a98adcd0ac46f5c59fa320c95be677a3c6a798e977ab1a49622f325ed4f68
SHA512: 2a5b64b3facdda3742614f79fce50c07b49b65c4c43b964a8c0c1feaea6ac99c4e217f1986c29bd9e11a0605b5f7514819a86cc0c6709aeff5b263310222d9cc
Homepage: https://cran.r-project.org/package=oaxaca
Description: CRAN Package 'oaxaca' (Blinder-Oaxaca Decomposition)
 An implementation of the Blinder-Oaxaca decomposition for linear regression
 models.

Package: r-cran-obanalytics
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-obanalytics_0.1.1-1.ca2004.1_all.deb
Size: 3501532
MD5sum: cd24656f6750e825130f3d648d179378
SHA1: 4a1da5b94db01080966eb34b773be2956454530b
SHA256: 60a56ada9fa1cebc8e36dcb5388052d07e4b03d422b5bfb784eda2b21f59bf87
SHA512: 69339b93a6c9fee60e3f7c2afd1cdc5166f1af16fa65504f8fee96ac26c5c281ef5ce45702e9d9c7b0c27bf558acacb23699ffd7039666da680c9d6d9c48e30b
Homepage: https://cran.r-project.org/package=obAnalytics
Description: CRAN Package 'obAnalytics' (Limit Order Book Analytics)
 Data processing, visualisation and analysis of Limit Order Book event data.

Package: r-cran-obaspatial
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-modeest, r-cran-cubature, r-cran-truncdist, r-cran-invgamma, r-cran-laplacesdemon, r-cran-hdinterval, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-obaspatial_1.9-1.ca2004.1_all.deb
Size: 220348
MD5sum: 4a7b2beffdf894491546e8e5a171602b
SHA1: 49d968ce0c5d0dec3532e394ed2f604f6e3fc71e
SHA256: 15116f682a4230110c552b7764575f667403ac2eb4d6d9e1db7f49d85917cfc1
SHA512: 539c5bb60e2e65cd42af8ed58605b913c0986915f5697a9cc182e890a93df69323edc0a8b959a8931ffc7a92e08d7d6f2b1840b97d7568392086a7130191d66a
Homepage: https://cran.r-project.org/package=OBASpatial
Description: CRAN Package 'OBASpatial' (Objective Bayesian Analysis for Spatial Regression Models)
 It makes an objective Bayesian analysis of the spatial regression model
 using both the normal (NSR) and student-T (TSR) distributions. The functions
 provided give prior and posterior objective densities and allow default
 Bayesian estimation of the model regression parameters. Details can be found
 in Ordonez et al. (2020) <arXiv:2004.04341>.

Package: r-cran-obcost
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-obcost_0.1.0-1.ca2004.1_all.deb
Size: 431200
MD5sum: ed19acda9668cb76aec954a2d0262ee7
SHA1: 9f56f6d855d3be084995ce9b80e82581914760b1
SHA256: b321ee5187edba8027cc0d9f1eea69b1a24ae5695e3320aab053824bba017e10
SHA512: 9e206e11c1aa4d9870b9340bef48d7985797bf3e2b3bcd86731bad5601d671884b372152ce75fdc3cfa410ee75d38f3c726749057eedaafd283a9511039b6726
Homepage: https://cran.r-project.org/package=obcost
Description: CRAN Package 'obcost' (Obesity Cost Database)
 This database contains necessary data relevant to medical costs on obesity
 throughout the United States. This database, in form of an R package, could
 output necessary data frames relevant to obesity costs, where the clients
 could easily manipulate the output using difference parameters, e.g.
 relative risks for each illnesses. This package contributes to parts of our
 published journal named "Modeling the Economic Cost of Obesity Risk and Its
 Relation to the Health Insurance Premium in the United States: A State Level
 Analysis". Please use the following citation for the journal: Woods Thomas,
 Tatjana Miljkovic (2022) "Modeling the Economic Cost of Obesity Risk and Its
 Relation to the Health Insurance Premium in the United States: A State Level
 Analysis" <doi:10.3390/risks10100197>. The database is composed of the
 following main tables: 1. Relative_Risks: (constant) Relative risks for a
 given disease group with a risk factor of obesity; 2. Disease_Cost:
 (obesity_cost_disease) Supplementary output with all variables related to
 individual disease groups in a given state and year; 3. Full_Cost:
 (obesity_cost_full) Complete output with all variables used to make cost
 calculations, as well as cost calculations in a given state and year; 4.
 National_Summary: (obesity_cost_national_summary) National summary cost
 calculations in a given year. Three functions are included to assist users
 in calling and adjusting the mentioned tables and they are data_load(),
 data_produce(), and rel_risk_fun().

Package: r-cran-obfuscator
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rfast, r-cran-matrixstats, r-cran-stringr, r-cran-readr, r-cran-tibble, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-obfuscator_0.2.2-1.ca2004.1_all.deb
Size: 80016
MD5sum: 8cae12b6b7b2eea154b4500d4e84ac8d
SHA1: 41de4d259b1f280be544398c69b538f166f53122
SHA256: b45d19f9630de1ecaa91a4303c170fc55caf7dac4dbbc9354ed05eb41328fea2
SHA512: 57177def54c2fde8dda9d709a64747508964797de25302578cc157ef333f42bb88777770d2e86f6049ac87e2d9f97f4d9736b352fed3ef363651d02165d88f29
Homepage: https://cran.r-project.org/package=obfuscatoR
Description: CRAN Package 'obfuscatoR' (Obfuscation Game Designs)
 When people make decisions, they may do so using a wide variety of decision
 rules. The package allows users to easily create obfuscation games to test
 the obfuscation hypothesis. It provides an easy to use interface and
 multiple options designed to vary the difficulty of the game and tailor it
 to the user's needs. For more detail: Chorus et al., 2021, Obfuscation
 maximization-based decision-making: Theory, methodology and first empirical
 evidence, Mathematical Social Sciences, 109, 28-44,
 <doi:10.1016/j.mathsocsci.2020.10.002>.

Package: r-cran-obic
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3732
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-patchwork, r-cran-covr
Filename: pool/dists/focal/main/r-cran-obic_3.0.3-1.ca2004.1_all.deb
Size: 1890400
MD5sum: 1f3dcd689bec8de180a342e7cce390aa
SHA1: 0c839a716988eb2b202739a78a295a95742d4821
SHA256: 9031d56962d69280b8a0eec244ae1917aac6d260540980bb28ec8fb9470c1fd9
SHA512: 5f78dcbac9020df799bd7fc0447d7c468a629e062c821c4b05d2ea34f19808bd8739fa3a51a8e61a7a83625bcd356a46ecc0d7b211bc711526c7cdc4b935e4df
Homepage: https://cran.r-project.org/package=OBIC
Description: CRAN Package 'OBIC' (Calculate the Open Bodem Index (OBI) Score)
 The Open Bodem Index (OBI) is a method to evaluate the quality of soils of
 agricultural fields in The Netherlands and the sustainability of the current
 agricultural practices.  The OBI score is based on four main criteria:
 chemical, physical, biological and management, which consist of more than 21
 indicators.  By providing results of a soil analysis and management info the
 'OBIC' package can be use to calculate he scores, indicators and derivatives
 that are used by the OBI.  More information about the Open Bodem Index can
 be found at <https://openbodemindex.nl/>.

Package: r-cran-objectproperties
Architecture: all
Version: 0.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-objectsignals
Filename: pool/dists/focal/main/r-cran-objectproperties_0.6.8-1.ca2004.1_all.deb
Size: 272584
MD5sum: 4606f70c8653626bc1ec8f7251f8e84d
SHA1: 416269e5ef482756dc121b3e51eac80e6e754501
SHA256: 531bba591a48cd14f9797507308dc69c3e9d5e0ee3b7dc394a6f085a650d635f
SHA512: f8a36ad91f2b5caf8b03302f169153bb0cd4303ea08e6e60a017347197c6ca7b96ff76f933b386be60c22d96fcde3f5e11fc41aa2b0b5b00bd8e34160168f9a6
Homepage: https://cran.r-project.org/package=objectProperties
Description: CRAN Package 'objectProperties' (A Factory of Self-Describing Properties)
 Supports the definition of sets of properties on objects. Observers can
 listen to changes on individual properties or the set as a whole. The
 properties are meant to be fully self-describing. In support of this, there
 is a framework for defining enumerated types, as well as other bounded
 types, as S4 classes.

Package: r-cran-objectremover
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1464
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-miniui
Suggests: r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-objectremover_0.8.1-1.ca2004.1_all.deb
Size: 1294768
MD5sum: 001bd0aab4d3e7639190ebe61003daeb
SHA1: df2555317d168ef9d5a201ded559e54f60836c83
SHA256: 19d883f814c52fa73b9d5f429ea93f4a251752e6a7c7fb20c243f9a7019de044
SHA512: 3582fbe3ad7abe811906b5c773ce9b345a8bf40de385a7d4c5c351a08e465e5c5ac949a0fa9bd456c240b530797b72b3b919cbb06a1ca36fc7d30a33766099e4
Homepage: https://cran.r-project.org/package=objectremover
Description: CRAN Package 'objectremover' ('RStudio' Addin for Removing Objects from the Global EnvironmentBased on Patterns and Object Type)
 An 'RStudio' addin to assist with removing objects from the global
 environment. Features include removing objects according to name patterns
 and object type. During the course of an analysis, temporary objects are
 often created and this tool assists with removing them quickly. This can be
 useful when memory management within 'R' is important.

Package: r-cran-objectsignals
Architecture: all
Version: 0.10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-objectsignals_0.10.3-1.ca2004.1_all.deb
Size: 139360
MD5sum: 45492c65e5cc44694ba7d818380a80f5
SHA1: c54c973d15b59fcf99a74a1b6d0b25a07844fff9
SHA256: 767288491a74f940a1fc97f8166c62d7dd147098d9eaf635f48da4d96d3238be
SHA512: 877fad5344337fa03a1ec7a91e12a078844fd514520985d8167497dafe29d1c042bcf47ceead3e56cafddbd3cb6127ebc00df526cee78455947f637ea13341bf
Homepage: https://cran.r-project.org/package=objectSignals
Description: CRAN Package 'objectSignals' (Observer Pattern for S4)
 A mutable Signal object can report changes to its state, clients could
 register functions so that they are called whenever the signal is emitted.
 The signal could be emitted, disconnected, blocked, unblocked, and buffered.

Package: r-cran-obl
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-foreach, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-obl_0.2.1-1.ca2004.1_all.deb
Size: 61264
MD5sum: 302e6f2c6d6679075da468bf316aa721
SHA1: 72e12b37d821aaf903e2b8898df3830345c8f0a5
SHA256: 10edbf059e3d1e1a72c52c9514602eedec21ed449b5f628445d4d20935db39ee
SHA512: 2dff7c319ad5b99a6e308f0b70429ca5dda7621c44c94c1d60288bea8c3475d0ab4d0236e7a664a428695c058549a84bfda0d96130ee4a40c5c725cfe0fe2faf
Homepage: https://cran.r-project.org/package=OBL
Description: CRAN Package 'OBL' (Optimum Block Length)
 Obtain optimum block from Non-overlapping Block Bootstrap method.

Package: r-cran-oblicubes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1381
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-oblicubes_1.0.0-1.ca2004.1_all.deb
Size: 1035036
MD5sum: bfce44ae0dc9e490922609283a0046f7
SHA1: c2da792817a52defa818dc37e1584eb44414df52
SHA256: 44e9d7f1422641486392b42474e8d75736ef22b13c3edcdc99c7ca8335b63181
SHA512: 1e8a1a072da9ce6fc95ad9ebb7b482bdd62bee6c4b6a769e446d48909aa8e6b3e1edaf08b4f4131aad7c77b9d730d9e66be6d79cfbae7c1009aa08b4c626b474
Homepage: https://cran.r-project.org/package=oblicubes
Description: CRAN Package 'oblicubes' (3D Rendering Using Obliquely Projected Cubes and Cuboids)
 Three-dimensional rendering for 'grid' and 'ggplot2' graphics using cubes
 and cuboids drawn with an oblique projection.  As a special case also
 supports primary view orthographic projections.  Can be viewed as an
 extension to the 'isocubes' package
 <https://github.com/coolbutuseless/isocubes>.

Package: r-cran-obliquerf
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-pls, r-cran-mda, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-obliquerf_0.3-1.ca2004.1_all.deb
Size: 69796
MD5sum: ea0287a06effc4f8552f023b343bc590
SHA1: 021cae50e3e546d5b4f9a012588d3ac05cf78f93
SHA256: 67556193d01ad3e2b7afeac996695c9d752efa6d3bea2573d88a655c124384bc
SHA512: 4b9acc6b2d9496af041b08737e5ff468217f5bc96bba05607311690ea48dff7c98b73631aea68ebac31793459686a77f5df45990146d088033498a6103a07f52
Homepage: https://cran.r-project.org/package=obliqueRF
Description: CRAN Package 'obliqueRF' (Oblique Random Forests from Recursive Linear Model Splits)
 Random forest with oblique decision trees for binary classification tasks.
 Discriminative node models in the tree are based on: ridge regression,
 partial least squares regression, logistic regression, linear support vector
 machines, or random coefficients.

Package: r-cran-obmbpkg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-obmbpkg_1.0.0-1.ca2004.1_all.deb
Size: 15176
MD5sum: 453fb02efafd3d9c1805feb72d36ae85
SHA1: 08087d720530e035878ef7f12b8584c13ccc9bf9
SHA256: d535ae520792e48b69ece979c8fde52bfe44ae33cb343914e4467151651ae64a
SHA512: 7569bfd55d38994dcc26bfed85dfc43ccff4490e0eab0b40615c0b29c6678a3be0244a261a488f9de1bd3aa5200ae8ea458aa3f8b0cfcb74c78f86d8bfd415e4
Homepage: https://cran.r-project.org/package=OBMbpkg
Description: CRAN Package 'OBMbpkg' (Estimate the Population Size for the Mb Capture-Recapture Model)
 Applies an objective Bayesian method to the Mb capture-recapture model to
 estimate the population size N.  The Mb model is a class of
 capture-recapture methods used to account for variations in capture
 probability due to animal behavior.  Under the Mb formulation, the initial
 capture of an animal may effect the probability of subsequent captures due
 to their becoming "trap happy" or "trap shy."

Package: r-cran-obre
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-obre_0.2-0-1.ca2004.1_all.deb
Size: 98684
MD5sum: 66c45307d6cb1e6da3e251bd21b4bdc2
SHA1: 480ba9bfe57531897e3ed5a54d9f5a20d982895c
SHA256: b9209c4ad178210460d255abe2b5cfce6a24281d3587bf1280d2b23be5327689
SHA512: b498325f516db1b2a00e073da0afc10d04dc1cfa9c591c296d518bf0fb9d8aa7a8e227940c67112734fa331b646831d5f43ff7d40c3b4a1bd99eaafdd61feb94
Homepage: https://cran.r-project.org/package=OBRE
Description: CRAN Package 'OBRE' (Optimal B-Robust Estimator Tools)
 An implementation for computing Optimal B-Robust Estimators of two-parameter
 distribution. The procedure is composed of some equations that are evaluated
 alternatively until the solution is reached. Some tools for analyzing the
 estimates are included. The most relevant is covariance matrix computation
 using a closed formula.

Package: r-cran-obs.agree
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-obs.agree_1.0-1.ca2004.1_all.deb
Size: 29100
MD5sum: 1d6cc8f2cd98f37f3e7cc73b05cacac2
SHA1: 96e0f34e499cbf7d87b1908e2b30b40bc8d57bda
SHA256: d1d248daac567adabc4e2a09392fc26bff1b8624a294ee545dd30109601d31a8
SHA512: 0e29aa8e4bc1534d2df82b6266b286319d4b7620f7c2d1cb5015f54b8665bb29fcb1b2bea8eb9b26a91422ccdf4cba714fe2ce96b57eae7c53ce9469ee8a8a73
Homepage: https://cran.r-project.org/package=obs.agree
Description: CRAN Package 'obs.agree' (An R package to assess agreement between observers)
 The package includes two functions for measuring agreement. Raw Agreement
 Indices (RAI) to categorical data and Information-Based Measure of
 Disagreement (IBMD) to continuous data. It can be used for multiple raters
 and multiple readings cases.

Package: r-cran-observation
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-svdialogs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-observation_0.3.0-1.ca2004.1_all.deb
Size: 97256
MD5sum: 428868d25a3f4f5b9cd70a1d7f3201f4
SHA1: 4cfe111ff224ed2362668c497bcf1f0dddfc9895
SHA256: 4f2717b4932aee2ba37d169b8bcb92b95804df9a5d573f3b3aba19f2ac894f0e
SHA512: c0ab4dc715e6d4b6078559a6b1d29f79e12d76a6615c096a2fd490e7d83dfc230caf86edd91eaedadd18f1092a31cff703fedd36b032b6d354a73fc8821ca524
Homepage: https://cran.r-project.org/package=Observation
Description: CRAN Package 'Observation' (Collect and Process Physical Activity Direct Observation Data)
 Two-part system for first collecting then managing direct observation data,
 as described by Hibbing PR, Ellingson LD, Dixon PM, & Welk GJ (2018)
 <doi:10.1249/MSS.0000000000001486>.

Package: r-cran-observer
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bazar, r-cran-bit, r-cran-dplyr, r-cran-lazyeval, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-observer_0.1.2-1.ca2004.1_all.deb
Size: 45288
MD5sum: 673b706378e68ce09149daa332acc55d
SHA1: 37e4c0fc93ffe2f23d3754002427badb3cd31fdf
SHA256: e3c4fccfd40ef0d058ff8af9cb5e7bac06d3dc58c193f7222ce33507d0f66f41
SHA512: 74f84df5e0c5db117901b5b95e8ffd72445387216280c45194955a67fca237ad89bc828fbb3e56e2169de90e0c155ef6c8082faed992c8de5aa9e88cd62b4f3f
Homepage: https://cran.r-project.org/package=observer
Description: CRAN Package 'observer' (Observe and Check your Data)
 Checks that a given dataset passes user-specified rules. The main functions
 are observe_if() and inspect().

Package: r-cran-obssens
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-obssens_1.4-1.ca2004.1_all.deb
Size: 38196
MD5sum: 2ceefcb827ea8ec7dff71c7b68e5e076
SHA1: fec5edaa0f2c7bb6161bbd240520f2a6a4467656
SHA256: c2c926ff2c863a175964f815c4e064b7339e87700808912a353c281386cee3ac
SHA512: d84a06a471380ce64f29a22d1c3b5bd6c309bf168aa3b69f9d18a7db757bd76ca1183a840f03b75f44ec0df9c390e9182fb259b108d217b83167201640d53f9c
Homepage: https://cran.r-project.org/package=obsSens
Description: CRAN Package 'obsSens' (Sensitivity Analysis for Observational Studies)
 Observational studies are limited in that there could be an unmeasured
 variable related to both the response variable and the primary predictor.
 If this unmeasured variable were included in the analysis it would change
 the relationship (possibly changing the conclusions).  Sensitivity analysis
 is a way to see how much of a relationship needs to exist with the
 unmeasured variable before the conclusions change.  This package provides
 tools for doing a sensitivity analysis for regression (linear, logistic, and
 cox) style models.

Package: r-cran-oca
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mathjaxr
Filename: pool/dists/focal/main/r-cran-oca_0.5-1.ca2004.1_all.deb
Size: 52980
MD5sum: 0b99a0ee70f28773bab14212058df016
SHA1: 5920c73b67dcb149b75654ea941bd46edd12defc
SHA256: 9d2a8adeea8caa87a3dc71b687d42d0ee68293b2f96c1f46f84f7c02d746d360
SHA512: 7924dc8e36e53224ec741cb85ccab334de84935e2b10d279a4f2b2725656e17546db1bd07f1b1021fddc8b8f2ff7c8a9949c673433091858f9c0a46df9d485f6
Homepage: https://cran.r-project.org/package=OCA
Description: CRAN Package 'OCA' (Optimal Capital Allocations)
 Computes optimal capital allocations based on some standard principles such
 as Haircut, Overbeck type II and the Covariance Allocation Principle. It
 also provides some shortcuts for obtaining the Value at Risk and the
 Expectation Shortfall, using both the normal and the t-student distribution,
 see Urbina and Guillén (2014)<doi:10.1016/j.eswa.2014.05.017> and Urbina
 (2013)<http://hdl.handle.net/2099.1/19443>.

Package: r-cran-occ
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-occ_1.2-1.ca2004.1_all.deb
Size: 27480
MD5sum: efb40bdd60c94227484767425e6b0467
SHA1: 01d0a134cc9a167576e73c1ba971f11954bead8c
SHA256: 2e89431137d8315b8baca18eb7d9afdfdb436dd9eadf1eed93397d787ce59b4a
SHA512: b58c1f655afb8b1c3a739fa85fca8798814a8c55b0a2683f54399f0ee96d529f84ba2129fcabefea04d71520f58609c3eba9d5b3750b0cd092ebf03134a39407
Homepage: https://cran.r-project.org/package=occ
Description: CRAN Package 'occ' (Estimation of PET Neuroreceptor Occupancies)
 Estimate the positron emission tomography (PET) neuroreceptor occupancies
 from the total volumes of distribution of a set of regions of interest.
 Fitting methods include the simple 'reference region', 'ordinary least
 squares' (sometimes known as occupancy plot), and 'restricted maximum
 likelihood estimation'.

Package: r-cran-occcite
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2621
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bib2df, r-cran-bien, r-cran-curl, r-cran-dplyr, r-cran-lubridate, r-cran-rgbif, r-cran-refmanager, r-cran-stringr, r-cran-leaflet, r-cran-htmltools, r-cran-ggplot2, r-cran-rlang, r-cran-tidyr, r-cran-rpostgresql, r-cran-rcolorbrewer, r-cran-viridis, r-cran-dbi, r-cran-waffle
Suggests: r-cran-ape, r-cran-bit64, r-cran-covr, r-cran-knitr, r-cran-httr, r-cran-rmarkdown, r-cran-remotes, r-cran-testthat, r-cran-taxize
Filename: pool/dists/focal/main/r-cran-occcite_0.6.0-1.ca2004.1_all.deb
Size: 1736120
MD5sum: 6d033ec9b8e83369852661a2be266df3
SHA1: de76ba93abbdafb829e3d7964e9c2d525dc4dfa8
SHA256: 36bfde2f79581b8d4aa16fe6f643c3297178e2e2929161965819b84638381281
SHA512: 5463a0f55576102bfe8ece33f2bd4be742484abae06a3a1faa3cfebce32c86fce13141aae01b016806510a5657b4e5f3010aeac2f6d59bb557533137fd9c203e
Homepage: https://cran.r-project.org/package=occCite
Description: CRAN Package 'occCite' (Querying and Managing Large Biodiversity Occurrence Datasets)
 Facilitates the gathering of biodiversity occurrence data from disparate
 sources. Metadata is managed throughout the process to facilitate reporting
 and enhanced ability to repeat analyses.

Package: r-cran-occtest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4120
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-data.table, r-cran-rgeos, r-cran-rgdal, r-cran-biogeo, r-cran-stringr, r-cran-alphahull, r-cran-plyr, r-cran-sp, r-cran-sf, r-cran-outliers, r-cran-coordinatecleaner, r-cran-tictoc, r-cran-rgbif, r-cran-countrycode, r-cran-rnaturalearth, r-cran-svmisc, r-cran-spocc, r-cran-tidyverse, r-cran-rnaturalearthdata, r-cran-pingr, r-cran-ggplot2, r-cran-dt, r-cran-matrix, r-cran-dplyr, r-cran-datapreparation
Suggests: r-cran-gnrs, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rworldmap, r-cran-cleangeo, r-cran-geosphere, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-occtest_0.1.1-1.ca2004.1_all.deb
Size: 3983584
MD5sum: b27ec0f2a3f9c77f139825422ec22b86
SHA1: e1049428abc1dd758f84180f403f639994db409e
SHA256: ef446773803525823af2d20eedc28a2d89c72cb867b670135731b658d9659c0f
SHA512: cdfe55027aa74474b1128427750192495f4e9a64df73f606e9e2fc573e5d150db7be17068ed772c76de604b6738b66eaceee8f63aee978073c4ddf6008dab9c7
Homepage: https://cran.r-project.org/package=occTest
Description: CRAN Package 'occTest' (Characterizing and Filtering Species Occurrence Data)
 Perform multiple tests for potential errors in species occurrence data and
 filter, and filter data according to users specifications.

Package: r-cran-occumb
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1078
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jagsui, r-cran-checkmate, r-cran-crayon, r-cran-knitr
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-occumb_1.2.0-1.ca2004.1_all.deb
Size: 689032
MD5sum: 1e91baeaade419f2b79e9e2e73bd2058
SHA1: 6dfd5f7a7eeb49f1966307d09e44d2e12a0f5915
SHA256: b89dda2c0c7230417b1e206181bf75c6c803320cdc04db17c4db86c5bf58423d
SHA512: 5c6805e2f8c2f4f3991aa1e6c15a6dc0ad2872fc117a4fc4795f88c86a8856a84614cae317dfa7bdf766ecb28aca7348cba6c7e199831c5f675c19ac712799aa
Homepage: https://cran.r-project.org/package=occumb
Description: CRAN Package 'occumb' (Site Occupancy Modeling for Environmental DNA Metabarcoding)
 Fits community site occupancy models to environmental DNA metabarcoding data
 collected using spatially-replicated survey design.  Model fitting results
 can be used to evaluate and compare the effectiveness of species detection
 to find an efficient survey design.  Reference: Fukaya et al. (2022)
 <doi:10.1111/2041-210X.13732>, Fukaya and Hasebe (2025)
 <doi:10.1101/2025.01.09.632116>.

Package: r-cran-occuncertain
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-conr, r-cran-rgdal
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-occuncertain_0.1.0-1.ca2004.1_all.deb
Size: 152072
MD5sum: 1f1ab307e549866191800b006eed8411
SHA1: a3a28e00d62ce8ac1e88a163fad9a4ca8ce0e67e
SHA256: 16a4cc2bd851bbf6c1a64a16ac95253d12c448c2d7fa5f06c9b20ead021841a3
SHA512: ad348c4a1c3b068a63098d134f4a8ca037eef63992e55f3f19ab46790cffc938ef6b658d985b0ca5e0274cc7d1d97f5a961149a08c63e94e84721401b89aeefc
Homepage: https://cran.r-project.org/package=occUncertain
Description: CRAN Package 'occUncertain' (Addressing Occurrence Point Uncertainty When Calculating SpatialMetrics)
 Repeatable processing of species occurrence datasets that makes it easier to
 propagate georeferencing imprecisions and data input mistakes to downstream
 analyses, allowing analysts to assess the impacts of these imprecisions in
 quantifying range of occurrence (EOO) or area of occupancy (AOO) . Users can
 use the software to: (a) change each coordinate record's uncertainty from
 meters to decimal degrees, The formula for converting from meters to decimal
 degrees is in part based on information from the ESRI ArcUser magazine
 "Measuring in Arc-Seconds" at this
 site<https://www.esri.com/news/arcuser/0400/wdside.html> (b) deal with
 records that don't have uncertainty values in multiple ways, (c) create a
 new random location for each occurrence using a uniform distribution with a
 defined interval within the occurrence location uncertainty, and (d) use
 repetitions to quantify EOO and AOO with attribute uncertainty.

Package: r-cran-occupancy
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats
Suggests: r-cran-vgam, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-occupancy_1.2-1.ca2004.1_all.deb
Size: 172420
MD5sum: ae5a8b7de1c3ce8eb33da101c02e762c
SHA1: 2cffbe37876b91265673f8b6aaf6e0e6c21f2127
SHA256: 9117afba6f689a4059d80059bd16193c93119e3dbf9ff937769bceacb8abff5f
SHA512: 40279d30d828e8fc29edf4fdecad9cde758c4d72ffae941c673111a163315676a5f699b3d17748c7d5822c8ad15c83664637d804a5b8d45d5c2a41b14ed97b60
Homepage: https://cran.r-project.org/package=occupancy
Description: CRAN Package 'occupancy' (Probability Functions for Occupancy Distributions)
 The classical and extended occupancy distributions occur in cases where
 balls are randomly allocated to bins. The PDF, CDF, quantile functions,
 generation of random variates, and calculating the first four central
 moments of the distributions are implemented as described in O’Neill (2019)
 <doi:10.1080/00031305.2019.1699445>.

Package: r-cran-occupationmeasurement
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4709
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-digest, r-cran-shiny, r-cran-stringdist, r-cran-stringr, r-cran-text2vec, r-cran-tm
Suggests: r-cran-plumber, r-cran-knitr, r-cran-mvtnorm, r-cran-callr, r-cran-devtools, r-cran-httr, r-cran-sessioninfo, r-cran-shinytest2, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-occupationmeasurement_0.3.2-1.ca2004.1_all.deb
Size: 3256048
MD5sum: 19538c10ff84f4b27bb26846bd12480b
SHA1: 8297cbf2ce1de21dd263207f0b51de38183efe06
SHA256: 27cc848d90ac0490de6bc61546ba1ba494becd44fdd6047c13f2409e6dc1d3b8
SHA512: 39d2249250eeaa7a045cda6d3ae0bcafe6aee5b04bf4fb81f9ee0abad735459f8d47ed0ee71b34f128a497b549f19051b7d63cbfd889c3e2fb620c63cb0da065
Homepage: https://cran.r-project.org/package=occupationMeasurement
Description: CRAN Package 'occupationMeasurement' (Interactively Measure Occupations in Interviews and Beyond)
 Perform interactive occupation coding during interviews as described in
 Peycheva, D., Sakshaug, J., Calderwood, L. (2021)
 <doi:10.2478/jos-2021-0042> and Schierholz, M., Gensicke, M., Tschersich,
 N., Kreuter, F. (2018) <doi:10.1111/rssa.12297>.  Generate suggestions for
 occupational categories based on free text input, with pre-trained machine
 learning models in German and a ready-to-use shiny application provided for
 quick and easy data collection.

Package: r-cran-ocd
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4446
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ocd_1.1-1.ca2004.1_all.deb
Size: 4481108
MD5sum: 3f0b2ab2dad0d772a566e5e0e33bafa7
SHA1: 3a8ce57f7ccf544fabda92f118dff877184e41ab
SHA256: 68f05006421769672d5ef1bbb0b6952f8a5856d3e67720cb898167bd229da6ab
SHA512: 9069f05eb413e93517abd4f8398dac0f20e5e4e6f3f2b19b1ddba6e893bf87f45c1ea053cddcf51aec8a502d48542536d336e80c3b35d32c07da86ef6f23bb54
Homepage: https://cran.r-project.org/package=ocd
Description: CRAN Package 'ocd' (High-Dimensional Multiscale Online Changepoint Detection)
 Implements the algorithm in Chen, Wang and Samworth (2020)
 <arxiv:2003.03668> for online detection of sudden mean changes in a sequence
 of high-dimensional observations. It also implements methods by Mei (2010)
 <doi:10.1093/biomet/asq010>, Xie and Siegmund (2013)
 <doi:10.1214/13-AOS1094> and Chan (2017) <doi:10.1214/17-AOS1546>.

Package: r-cran-oceanexplorer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3217
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stars, r-cran-shiny, r-cran-ggplot2, r-cran-sf, r-cran-waiter, r-cran-bslib, r-cran-thematic, r-cran-shinyfeedback, r-cran-purrr, r-cran-miniui, r-cran-rstudioapi, r-cran-dt, r-cran-fs, r-cran-glue, r-cran-shinyjs, r-cran-rlang, r-cran-maps, r-cran-ncmeta, r-cran-rnetcdf, r-cran-dplyr
Suggests: r-cran-globals, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-oceanexplorer_0.1.0-1.ca2004.1_all.deb
Size: 1909136
MD5sum: 3d5a0e1ebfea5a378dba42ea8348cea2
SHA1: 682697d52b3d15ca2d70a6c6dce0e967ddbe7098
SHA256: e8bc5d721a37bfc51fee3d97dad1506c56ff2e96d416dd40c201713f4a7728e0
SHA512: 1c29e06a4c6ddb23f2536ccf912d92809d1f5a116bc38b4a3260ca11ab0f0cdc1971d950bed780986b486d9bf7932ef458a941cc129fdc08ae02ec07bbab0f98
Homepage: https://cran.r-project.org/package=oceanexplorer
Description: CRAN Package 'oceanexplorer' (Explore Our Planet's Oceans with NOAA)
 Provides tools for easy exploration of the world ocean atlas of the US
 agency National Oceanic and Atmospheric Administration (NOAA). It includes
 functions to extract NetCDF data from the repository and code to visualize
 several physical and chemical parameters of the ocean. A Shiny app further
 allows interactive exploration of the data. The methods for data collecting
 and quality checks are described in several papers, which can be found here:
 <https://www.ncei.noaa.gov/products/world-ocean-atlas>.

Package: r-cran-oceanic
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3845
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-broom, r-cran-ggplot2, r-cran-maps, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-oceanic_0.1.8-1.ca2004.1_all.deb
Size: 3900336
MD5sum: 1a2de99ba5ae41acb2c7119ce576cb04
SHA1: f011008a8d381f5609418c69ae79af4fd9e2d76f
SHA256: a581963c7ba3e373feae15c25e9662c64a9601577600c03ae9e1963acac8aebf
SHA512: f81d1a43628c9a85b0e0980c2e5be81536c2dd8b25616bff7fc394f37492badc96ca0261aeee1f78b06442a44cc270c06493a926321ced64a1c568728f21ec2b
Homepage: https://cran.r-project.org/package=oceanic
Description: CRAN Package 'oceanic' (Location Identify Tool)
 Determine the sea area where the fishing boat operates.  The latitude and
 longitude of geographic coordinates are used to match oceanic areas and
 economic sea areas.  You can plot the distribution map with dotplot()
 function.  Please refer to Flanders Marine Institute (2020)
 <doi:10.14284/403>.

Package: r-cran-oceanis
Architecture: all
Version: 1.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9561
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-classint, r-cran-sf, r-cran-shinyjs, r-cran-shinythemes, r-cran-dt, r-cran-stringr, r-cran-leaflet, r-cran-leaflet.extras, r-cran-ggplot2, r-cran-dplyr, r-cran-lwgeom, r-cran-zip, r-cran-htmlwidgets, r-cran-webshot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-rio
Filename: pool/dists/focal/main/r-cran-oceanis_1.8.5-1.ca2004.1_all.deb
Size: 4103052
MD5sum: 53f2d42e1452b2e3f070a7349ec753c8
SHA1: c90a00b8869ba84696379bf7e32d7f2b1c4bb23b
SHA256: cb582cf2d4e851ba0f471a701f7be13d80791d12db4b65de67cb27fcc9647d79
SHA512: 4375a8bbef4172025e2f1298870b2509b7e505bcf9c93a19072315d50b11203549299bfb1f55871e873d0716d0cb50da887c6f598f199f1e19e1095b52e3abe3
Homepage: https://cran.r-project.org/package=oceanis
Description: CRAN Package 'oceanis' (Cartography for Statistical Analysis)
 Creating maps for statistical analysis such as proportional circles,
 choropleth, typology and flows. Some functions use 'shiny' or 'leaflet'
 technologies for dynamism and interactivity.  The great features are : -
 Create maps in a web environment where the parameters are modifiable on the
 fly ('shiny' and 'leaflet' technologies).  - Create interactive maps through
 zoom and pop-up ('leaflet' technology).  - Create frozen maps with the
 possibility to add labels.

Package: r-cran-oceanmap
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6304
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maps, r-cran-mapdata, r-cran-raster, r-cran-extrafont, r-cran-reshape2, r-cran-abind, r-cran-fields, r-cran-plotrix, r-cran-sp, r-cran-ncdf4, r-cran-lubridate, r-cran-ggplot2, r-cran-ggedit, r-cran-sf, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-oceanmap_0.1.6-1.ca2004.1_all.deb
Size: 3056244
MD5sum: 72f79aa784c83d443342f6c040ccfe66
SHA1: 213b2724d7f3dec7b54db7db382c4780a20e706e
SHA256: 0d1e1ba6f0037060b10c084da8e3f79c142a62c36dbaea822ecdf6cb8fca7ef8
SHA512: cbc788b702da56f456966010c0ae5d993a093b4109d3871bdd57c779898181865a732f0ea21cd476ed541985e6410d3ab4da0a98ef3833e2c74ffedf31363166
Homepage: https://cran.r-project.org/package=oceanmap
Description: CRAN Package 'oceanmap' (A Plotting Toolbox for 2D Oceanographic Data)
 Plotting toolbox for 2D oceanographic data (satellite data, sea surface
 temperature, chlorophyll, ocean fronts & bathymetry). Recognized classes and
 formats include netcdf, Raster, '.nc' and '.gz' files.

Package: r-cran-oceanwaves
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-bspec, r-cran-signal
Suggests: r-cran-scales, r-cran-oce, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oceanwaves_0.2.0-1.ca2004.1_all.deb
Size: 129084
MD5sum: 45b4f4ceb020f4eb6aec9b186dddf144
SHA1: 0dd2402b3eed3926883ad6e6bc1f828220c9baa1
SHA256: 6b031ee3687c1d5e16e887f0bbe564b804cd18fc01f94e5e078537eb503bece5
SHA512: 52e02f9bd9afcc91881107accc0068f3f3e68373e334c6fa775965425b984a12fc2a9ca05c6930ac9d7c548e752ae8334da7738db516f1d53ef7768e41a7f930
Homepage: https://cran.r-project.org/package=oceanwaves
Description: CRAN Package 'oceanwaves' (Ocean Wave Statistics)
 Calculate ocean wave height summary statistics and process data from
 bottom-mounted pressure sensor data loggers. Derived primarily from MATLAB
 functions provided by U. Neumeier at
 <http://neumeier.perso.ch/matlab/waves.html>. Wave number calculation based
 on the algorithm in Hunt, J. N. (1979, ISSN:0148-9895) "Direct Solution of
 Wave Dispersion Equation", American Society of Civil Engineers Journal of
 the Waterway, Port, Coastal, and Ocean Division, Vol 105, pp 457-459.

Package: r-cran-ocecens
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ocecens_0.1.2-1.ca2004.1_all.deb
Size: 86920
MD5sum: 966362ee5e41e1f07fc2e21f67a56812
SHA1: 39bfedecb45c4a3dfbb7a56f8c4fbc4609ee138a
SHA256: 6dfca50c206e41099c0caffa7b32887ac7a922dc2941572151d35b182b0ef0bc
SHA512: 509e5153d187b299b9ffe5c16dc2363a954b9108b461c64e69aefdfdccb287e10e73242f156a445d2c72ec33a9099fd7144097ffd41fff3589216110ee6553fc
Homepage: https://cran.r-project.org/package=oceCens
Description: CRAN Package 'oceCens' (Ordered Composite Endpoints with Censoring)
 Estimates win ratio or Mann-Whitney parameter for two group comparisons
 using ordered composite endpoints with right censoring as described in
 Follmann, Fay, Hamasaki, and Evans (2020)<doi:10.1002/sim.7890>.

Package: r-cran-ocedata
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4237
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ocedata_0.2.2-1.ca2004.1_all.deb
Size: 4222576
MD5sum: ffc8e677591a64610bd2ab5a13b566e3
SHA1: 9af4de48965d91571b324d1d603b10503f90c0ae
SHA256: 36f9014505c0fb4ec037e3f5cdc4cec88d67f9c90624a733eb67806cd8520ebf
SHA512: 32cff7b680cfcc1caabd56e0354d1fa9c98b748dd937eaf54918dfaa331455219c02025ad8fc0a80915fa978f0c3cb751498c652dc781e52f5469586a1d73548
Homepage: https://cran.r-project.org/package=ocedata
Description: CRAN Package 'ocedata' (Oceanographic Data Sets for 'oce' Package)
 Several Oceanographic data sets are provided for use by the 'oce' package
 and for other purposes.

Package: r-cran-ockc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-flexclust, r-cran-modeltools
Suggests: r-cran-seriation
Filename: pool/dists/focal/main/r-cran-ockc_1.1-1.ca2004.1_all.deb
Size: 130964
MD5sum: 1c15af4b2e957f0fe0cd6ee2fcc7bb6e
SHA1: 55218fadb53969dc2ef815593a2297457aaf2695
SHA256: 064aa203801759dc3e4c01df4afe243fb010342c3c44334f66a3e70548d69fe7
SHA512: 2f7f3a0429a46dc9927fbf353e0bda83798fea199153940f283f993d8382be7974c539cf445caa8479d428dd7d43625f7a25eb18cd8fc5dc0f8d2daca934457c
Homepage: https://cran.r-project.org/package=ockc
Description: CRAN Package 'ockc' (Order Constrained Solutions in k-Means Clustering)
 Extends 'flexclust' with an R implementation of order constrained solutions
 in k-means clustering (Steinley and Hubert, 2008,
 <doi:10.1007/s11336-008-9058-z>).

Package: r-cran-oclust
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-entropy, r-cran-mclust, r-cran-mixture, r-cran-dbscan, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-oclust_0.2.0-1.ca2004.1_all.deb
Size: 66652
MD5sum: 6d9a8a12936d67432be2351e6dc5525b
SHA1: d455147e0cd4bf60e27369ff26ee63d920dc8be7
SHA256: af7dd730a605182b2b63c9db84c4b96b3961e96f1c3cd9e0e7d1e13ee76912fe
SHA512: b70d5f525c5040c1a2e5307ddc8b001f11a7880e8e2f533cd75a37df48e03bbe5bf7602255407c3a7fc8f9a43a5bdcd2dd9bf522b3c293342bcd210fb6727595
Homepage: https://cran.r-project.org/package=oclust
Description: CRAN Package 'oclust' (Gaussian Model-Based Clustering with Outliers)
 Provides a function to detect and trim outliers in Gaussian mixture
 model-based clustering using methods described in Clark and McNicholas
 (2022) <arXiv:1907.01136>.

Package: r-cran-ocomposition
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-bayesm
Filename: pool/dists/focal/main/r-cran-ocomposition_1.1-1.ca2004.1_all.deb
Size: 57228
MD5sum: 1cedc9c33afeeef68afb78b92b75ae17
SHA1: 8513cb1f33dc130f54a0e1c9a28dbc6742e235f4
SHA256: f33f834449f3b1e70c869b17442ce7515665fb426c5b62cc34c90246abc7ca8f
SHA512: a21da5a3daaa751f4b0c2b306ec63d550fa7fe5f2178308b0a89c7222bc6ab6a9429e17740eca92e24013e0b140efd3cc7d6df30fe96fd44c9961bc59a16942b
Homepage: https://cran.r-project.org/package=ocomposition
Description: CRAN Package 'ocomposition' (Regression for Rank-Indexed Compositional Data)
 Regression model where the response variable is a rank-indexed compositional
 vector (non-negative values that sum up to one and are ordered from the
 largest to the smallest). Parameters are estimated in the Bayesian framework
 using MCMC methods.

Package: r-cran-ocp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2938
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ocp_0.1.1-1.ca2004.1_all.deb
Size: 1562364
MD5sum: 5793a49025102d66cfcb4399b6fd8af8
SHA1: 424d9fd510e9d77a0880459e513c0b30fa6b0c07
SHA256: fd5be6203778ed26229cd5d35dc0ffb9ba1453d32311cd283bbeda0d8764f82d
SHA512: aefbbff8d0d14a27282396f56a8c5f72bcf80142187e241be4ba150e6be57fc67e6058b8af407a9c97ffd51adb8d5450f5cb417ba7041b7e70683ef3113ca851
Homepage: https://cran.r-project.org/package=ocp
Description: CRAN Package 'ocp' (Bayesian Online Changepoint Detection)
 Implements the Bayesian online changepoint detection method by Adams and
 MacKay (2007) <arXiv:0710.3742> for univariate or multivariate data.
 Gaussian and Poisson probability models are implemented.  Provides
 post-processing functions with alternative ways to extract changepoints.

Package: r-cran-ocs4r
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-openssl, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-xml, r-cran-keyring
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ocs4r_0.2-3-1.ca2004.1_all.deb
Size: 245744
MD5sum: 749e0f72def8163f22458968abf2f8fe
SHA1: d7e653f134f9dbd6ab8141a5cf588e8621cc8738
SHA256: ffe6329625f867fe742add12580ec4f592c988538e1cf0363be294b487b1e660
SHA512: db93bcc09b7ac60e707bc99058b51bf0a0fbad0aeb04042867b7bd2cd3be3fe66c484ad74fc918196471e3342bdb56153365f22e8b0927f87aea1b8e1e051ca6
Homepage: https://cran.r-project.org/package=ocs4R
Description: CRAN Package 'ocs4R' (Interface to Open Collaboration Services (OCS) REST API)
 Provides an Interface to Open Collaboration Services 'OCS'
 (<https://www.open-collaboration-services.org/>) REST API.

Package: r-cran-ocsdata
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-usethis, r-cran-purrr, r-cran-httr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ocsdata_1.0.2-1.ca2004.1_all.deb
Size: 272728
MD5sum: 8c1e86e5ba25ef30432a6477ec72b353
SHA1: 38743fc0b02d90935858f55bad78ce0f8271dc34
SHA256: bd4ebefc1a3c99f829c6d0d95b0f867079ee8f3eeee62da6948b6aa7d6c7f96e
SHA512: b7600886770a033afd86994e42c9e70c091cd856776a1c16cc3640abffb08891ee78e5e5c2f29600a0ec67da77a15a5b07b0b0b999e609f242512902a32098f5
Homepage: https://cran.r-project.org/package=OCSdata
Description: CRAN Package 'OCSdata' (Download Data from the 'Open Case Studies' Repository)
 Provides functions to access and download data from the 'Open Case Studies'
 <https://www.opencasestudies.org/> repositories on 'GitHub'
 <https://github.com/opencasestudies>. Different functions enable users to
 grab the data they need at different sections in the case study, as well as
 download the whole case study repository. All the user needs to do is input
 the name of the case study being worked on. The package relies on the
 httr::GET() function to access files through the 'GitHub' API. The functions
 usethis::use_zip() and usethis::create_from_github() are used to clone
 and/or download the case study repositories. To cite an individual case
 study, please see the respective 'README' file at
 <https://github.com/opencasestudies/>.
 <https://github.com/opencasestudies/ocs-bp-rural-and-urban-obesity>
 <https://github.com/opencasestudies/ocs-bp-air-pollution>
 <https://github.com/opencasestudies/ocs-bp-vaping-case-study>
 <https://github.com/opencasestudies/ocs-bp-opioid-rural-urban>
 <https://github.com/opencasestudies/ocs-bp-RTC-wrangling>
 <https://github.com/opencasestudies/ocs-bp-RTC-analysis>
 <https://github.com/opencasestudies/ocs-bp-youth-disconnection>
 <https://github.com/opencasestudies/ocs-bp-youth-mental-health>
 <https://github.com/opencasestudies/ocs-bp-school-shootings-dashboard>
 <https://github.com/opencasestudies/ocs-bp-co2-emissions>
 <https://github.com/opencasestudies/ocs-bp-diet>.

Package: r-cran-octopucs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-stringr, r-cran-progress
Filename: pool/dists/focal/main/r-cran-octopucs_0.1.1-1.ca2004.1_all.deb
Size: 73780
MD5sum: 0853558214e66ae8654a879c9ce78b40
SHA1: d926c2a9e8be766771665e8c9768a18956f88f46
SHA256: 8a48263b32c39219efed74e2e3708cd30f0512efb15ada7d7e67820a97d3ed7f
SHA512: c13ccb273097694138abb5d2318669c86f2de023131b0f30e29850b9f92b87867c7d6956fbf7abd773e9b541eda9697ce3772dee9e2c5fc08c744155d89fb5af
Homepage: https://cran.r-project.org/package=octopucs
Description: CRAN Package 'octopucs' (Statistical Support for Hierarchical Clusters)
 Generates n hierarchical clustering hypotheses on subsets of classifiers
 (usually species in community ecology studies). The n clustering hypotheses
 are combined to generate a generalized cluster, and computes three metrics
 of support. 1) The average proportion of elements conforming the group in
 each of the n clusters (integrity). And 2) the contamination, i.e., the
 average proportion of elements from other groups that enter a focal group.
 3) The probability of existence of the group gives the integrity and
 contamination in a Bayesian approach.

Package: r-cran-octopus
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bslib, r-cran-data.table, r-cran-dbi, r-cran-dplyr, r-cran-dt, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-rio, r-cran-shiny, r-cran-shinyace, r-cran-shinyjs
Suggests: r-cran-keyring, r-cran-knitr, r-cran-odbc, r-cran-readr, r-cran-rmarkdown, r-cran-rmysql, r-cran-rpostgres, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-octopus_0.4.2-1.ca2004.1_all.deb
Size: 214564
MD5sum: 1ab69ef05d62607fef584f44da9b001f
SHA1: e4b74366bb927a04f9720acd16c3946123a2b97c
SHA256: 00213fed4c6fedf2caa7a8252a26792c1147f77919e6670fec32f5fff8704782
SHA512: 5442984b8357b5da6883fe52ba246946a10aba764f151c67ae00d2a99acef5100741ebb9f9556e7fe48962ec1bc0e0c53c3ca9f0818d081a52f222c877ba0dce
Homepage: https://cran.r-project.org/package=octopus
Description: CRAN Package 'octopus' (A Database Management Tool)
 A database management tool built as a 'shiny' application. Connect to
 various databases to send queries, upload files, preview tables, and more.

Package: r-cran-octopusr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-askpass, r-cran-cli, r-cran-glue, r-cran-httr2, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-lubridate, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-octopusr_1.0.1-1.ca2004.1_all.deb
Size: 37268
MD5sum: 335c8e4849c490e22e8c7e1934830ebc
SHA1: dea06c8cad6ac1f53034dfd56b7d3240eb90069c
SHA256: 74adaa8a7db259a3472f749c53ad51ad2a1a910d8e3e82eeef96b5adc33b25fd
SHA512: 6f0175fe6bad19771bb36a4b437a2af1c734b98bc0dfea160955d866d9069eaaf70b8612565a5a2fea2c258fd5de4c1dfd22000c34324148ec51587406e3a83a
Homepage: https://cran.r-project.org/package=octopusR
Description: CRAN Package 'octopusR' (Interact with the 'Octopus Energy' API)
 A simple wrapper for the 'Octopus Energy' API
 <https://developer.octopus.energy/docs/api/>. It handles authentication, by
 storing a provided API key and meter details.  Implemented endpoints include
 'products' for viewing tariff details and 'consumption' for viewing meter
 consumption data.

Package: r-cran-od
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1458
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sfheaders, r-cran-vctrs
Suggests: r-cran-covr, r-cran-knitr, r-cran-lwgeom, r-cran-nngeo, r-cran-rmarkdown, r-cran-sf, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-od_0.5.1-1.ca2004.1_all.deb
Size: 1120808
MD5sum: b76d4a5ef4b593d2f725ef94a9f3254e
SHA1: ed5336c7b4a9006f53ef9352b59add94dde21701
SHA256: b90df99c217cfac29264b381bc9234618714c5f84b5c92b1c8ccb25d3cb4c7b7
SHA512: 707d8412f9ea1a7cde50509d9ce52c9b109b19920e1bb0a33c81d4d6d2fa81dadcad1ff3be4e49c2d8a8171ed693cbd691fa07627c928e5ff57612b8d0ea8c0b
Homepage: https://cran.r-project.org/package=od
Description: CRAN Package 'od' (Manipulate and Map Origin-Destination Data)
 The aim of 'od' is to provide tools and example datasets for working with
 origin-destination ('OD') datasets of the type used to describe aggregate
 urban mobility patterns (Carey et al. 1981) <doi:10.1287/trsc.15.1.32>.  The
 package builds on functions for working with 'OD' data in the package
 'stplanr', (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053> with a
 focus on computational efficiency and support for the 'sf' class system
 (Pebesma 2018) <doi:10.32614/RJ-2018-009>.  With few dependencies and a
 simple class system based on data frames, the package is intended to
 facilitate efficient analysis of 'OD' datasets and to provide a place for
 developing new functions.  The package enables the creation and analysis of
 geographic entities representing large scale mobility patterns, from daily
 travel between zones in cities to migration between countries.

Package: r-cran-odataquery
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-odataquery_0.5.3-1.ca2004.1_all.deb
Size: 97776
MD5sum: 4a35e0f802eefe547852ec10f0bd3273
SHA1: 315d1af52767b76621106191f6e517ab4e610a42
SHA256: 5c456c61ba90842812b2b9b0532e666d2c8ce20d251d91501d33caf5b133631b
SHA512: edd2068eee4d8080169283018dc9b77d619ddd5150d45ecbd3e4b6bef5dd1fa35c56774ad6ce619af932fa7a37afb34c550b78785b7fda17121adcdd7140fb37
Homepage: https://cran.r-project.org/package=ODataQuery
Description: CRAN Package 'ODataQuery' (Querying on 'OData')
 Make querying on 'OData' easier. It exposes an 'ODataQuery' object that can
 be manipulated and provides features such as selection, filtering and
 ordering.

Package: r-cran-odb
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 930
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rjdbc
Filename: pool/dists/focal/main/r-cran-odb_1.2.1-1.ca2004.1_all.deb
Size: 857468
MD5sum: a94e0fbfb6cfd9292c608e43a13f0c18
SHA1: c82edccabbc64d7f3a5b559b1aaecc5e431f6f3d
SHA256: 2a8d157c7ff72d2c0f7041b9c3be568dbe945a01cfecb28c285b7fd289e106da
SHA512: b46b6934a082f1246e946b9aff11942e06da7f76ecbaf5067c1b2b9e5404acb56366f632127eecc99299e6dcae678edca1c3c56d3d339b2b728650a47e68064d
Homepage: https://cran.r-project.org/package=ODB
Description: CRAN Package 'ODB' (Open Document Databases (.odb) Management)
 Functions to create, connect, update and query 'HSQL' databases embedded in
 Open Document Databases files, as 'OpenOffice' and 'LibreOffice' do.

Package: r-cran-odbr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-fs, r-cran-haven, r-cran-piggyback, r-cran-r.utils, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-odbr_0.1.1-1.ca2004.1_all.deb
Size: 139560
MD5sum: e8d226fadfba352cbd412116b520d19b
SHA1: 916a35d7eded9825731bc07fe691e2c73bba7c41
SHA256: 63dae44bf740858aabb6700330772888f9c02734be79862c5e0a6a62e88af19d
SHA512: 6f88cc09c8550e48dcdf3cb244d186659b63fe53a03ed15c8e6e2fcfb4c86b9dda3736ed19cbc7d81ab344c174eb48f67671a784ef301a6ece29f63de9dc64a6
Homepage: https://cran.r-project.org/package=odbr
Description: CRAN Package 'odbr' (Download Data from Brazil's Origin Destination Surveys)
 Download data from Brazil's Origin Destination Surveys. The package covers
 both data from household travel surveys, dictionaries of variables, and the
 spatial geometries of surveys conducted in different years and across
 various urban areas in Brazil. For some cities, the package will include
 enhanced versions of the data sets with variables "harmonized" across
 different years.

Package: r-cran-oddnet
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-fable, r-cran-fabletools, r-cran-igraph, r-cran-lookout, r-cran-pcapp, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tsibble
Suggests: r-cran-ddoutlier, r-cran-feasts, r-cran-knitr, r-cran-rmarkdown, r-cran-rtensor, r-cran-urca
Filename: pool/dists/focal/main/r-cran-oddnet_0.1.1-1.ca2004.1_all.deb
Size: 199744
MD5sum: 3624f87532c4ff2163a2088c31a98df4
SHA1: b179df60fffad6222f6a13e3b07f5a81cf01b3e7
SHA256: ecf9b4aed59429a0b04879209cb26a857ac50689c9d5c4f15f24bf6b157bccfb
SHA512: aa90936daabbbc698d943f9b1ee5bc9704d7c3601f7d12b8802e7138dbbb489514bc8ae87c73dc8a3c1812cdf1385990984d18d681b95ea61374cbe3e8f665eb
Homepage: https://cran.r-project.org/package=oddnet
Description: CRAN Package 'oddnet' (Anomaly Detection in Temporal Networks)
 Anomaly detection in dynamic, temporal networks. The package 'oddnet' uses a
 feature-based method to identify anomalies. First, it computes many features
 for each network. Then it models the features using time series methods.
 Using time series residuals it detects anomalies. This way, the temporal
 dependencies are accounted for when identifying anomalies (Kandanaarachchi,
 Hyndman 2022) <arXiv:2210.07407>.

Package: r-cran-odds.converter
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-odds.converter_1.4.8-1.ca2004.1_all.deb
Size: 72268
MD5sum: 5bd48c929699e3da117bf7b958bc1033
SHA1: c7c21adbaa5885adfa99851b91c0dbb7b57bd63b
SHA256: c1c826e94fb49a82d973c83dc4aae0ac478520af627d698fb9a3877c10c5cc20
SHA512: e3bd05e901c5fb52b74eef6104dfd951e89f7557af8d2cb49bfbd354ec79a758ce97a8f28cea9ed508c0fd279174810a659506496f481b829677892a04691ceb
Homepage: https://cran.r-project.org/package=odds.converter
Description: CRAN Package 'odds.converter' (Betting Odds Conversion)
 Conversion between the most common odds types for sports betting.  Hong Kong
 odds, US odds, Decimal odds, Indonesian odds, Malaysian odds, and raw
 Probability are covered in this package.

Package: r-cran-odds.n.ends
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-odds.n.ends_0.1.4-1.ca2004.1_all.deb
Size: 26852
MD5sum: aaf077d0d40c52fdc792fea4e2be15eb
SHA1: ae8eb67bed6b45e36a5550799d2c4f4ecf9195e0
SHA256: ed602eafd51179e6dc0ca9dac4f2da56d5c396b917db4d8abc3ee6fae6e1993c
SHA512: a71599cae9fc216582a74917899d75c5517b9fd3740c7fb967791109f5365d5ddcf2de5432763dd988b5a3356e8c8b39d2c50d0b7188f754cda6b45546d3e0d3
Homepage: https://cran.r-project.org/package=odds.n.ends
Description: CRAN Package 'odds.n.ends' (Odds Ratios, Contingency Table, and Model Significance from aGeneralized Linear Model Object)
 Computes odds ratios and 95% confidence intervals from a generalized linear
 model object. It also computes model significance with the chi-squared
 statistic and p-value and it computes model fit using a contingency table to
 determine the percent of observations for which the model correctly predicts
 the value of the outcome. Calculates model sensitivity and specificity.

Package: r-cran-oddsapir
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-magrittr, r-cran-rlang, r-cran-rvest, r-cran-tidyr
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-ggplot2, r-cran-ggrepel, r-cran-gt, r-cran-knitr, r-cran-progressr, r-cran-qs, r-cran-rcpp, r-cran-rcppparallel, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringi, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyselect, r-cran-usethis, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-oddsapir_0.0.3-1.ca2004.1_all.deb
Size: 64724
MD5sum: 73067632a66fd7061c27d92de13798b2
SHA1: 61c3fffda28469bbb91aaae6ac3e04c7dfb7267f
SHA256: d393cd876e2f32cd8cc16ba16b6e0edb0286cfe863a3e6d118d3440f770b7404
SHA512: c281c3d04529c0f239917dbeb516d0e14a13d769c1b75cb23b543c895092bf04c393f7057200d3000b39ee52bff24a0576672c2d5c199fec84d7251c85da5f88
Homepage: https://cran.r-project.org/package=oddsapiR
Description: CRAN Package 'oddsapiR' (Access Live Sports Odds from the Odds API)
 A utility to quickly obtain clean and tidy sports odds from The Odds API
 <https://the-odds-api.com>.

Package: r-cran-oddsplotty
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-mlbench, r-cran-magrittr, r-cran-ggplot2, r-cran-tibble, r-cran-ggthemes, r-cran-e1071, r-cran-tidymodels, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-oddsplotty_1.0.2-1.ca2004.1_all.deb
Size: 97456
MD5sum: 352709dbdd406f8f8f1d2d85626cbd6d
SHA1: 5aadd753d9fd2f6dfce438243a691e1cbbbaf504
SHA256: 5a6cceb5d96bc5e4065fd627d894ddecabdcc73d511a5c46b2b11f15d70ba83e
SHA512: ea8bc62c5e613d1f95467ad0a1cb29dbbc8033c738819c7892e571acb80244df43baccbca640ff32e7f3ba05d5e8300c4b64c859e46aca1dd99289a0f79859b3
Homepage: https://cran.r-project.org/package=OddsPlotty
Description: CRAN Package 'OddsPlotty' (Odds Plot to Visualise a Logistic Regression Model)
 Uses the outputs of a logistic regression model, from caret
 <https://CRAN.R-project.org/package=caret>, to build an odds plot.  This
 allows for the rapid visualisation of odds plot ratios and works best with
 the outputs of CARET's GLM model class, by returning the final trained
 model.

Package: r-cran-oddsratio
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mgcv
Suggests: r-cran-gam, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oddsratio_2.0.2-1.ca2004.1_all.deb
Size: 273132
MD5sum: 5398d4643c4f1e4edeb4ad950afa3588
SHA1: 5695cbd31e49bda937e51d4166fe16d67c098f30
SHA256: 57a2d29d220f89e508fff404a2fe775db4f69a50dd2b04d032f26cd40b2d6e94
SHA512: 981524c739c55b0572b51ba14fc2f4bc8ab41e1cae0f0f00727ae6ff3d125b33176f96009522108ffd1b2e32911ffde22e12c3f7d5d8e2ab9774f9d1da29cbda
Homepage: https://cran.r-project.org/package=oddsratio
Description: CRAN Package 'oddsratio' (Odds Ratio Calculation for GAM(M)s & GLM(M)s)
 Simplified odds ratio calculation of GAM(M)s & GLM(M)s.  Provides structured
 output (data frame) of all predictors and their corresponding odds ratios
 and confident intervals for further analyses.  It helps to avoid false
 references of predictors and increments by specifying these parameters in a
 list instead of using 'exp(coef(model))' (standard approach of odds ratio
 calculation for GLMs) which just returns a plain numeric output.  For
 GAM(M)s, odds ratio calculation is highly simplified with this package since
 it takes care of the multiple 'predict()' calls of the chosen predictor
 while holding other predictors constant. Also, this package allows odds
 ratio calculation of percentage steps across the whole predictor
 distribution range for GAM(M)s.  In both cases, confident intervals are
 returned additionally. Calculated odds ratio of GAM(M)s can be inserted into
 the smooth function plot.

Package: r-cran-oddstream
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pcapp, r-cran-ggplot2, r-cran-ks, r-cran-mass, r-cran-rcpproll, r-cran-mgcv, r-cran-rcolorbrewer, r-cran-mvtsplot, r-cran-tibble, r-cran-reshape, r-cran-dplyr, r-cran-tidyr, r-cran-kernlab, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-oddstream_0.5.0-1.ca2004.1_all.deb
Size: 3349344
MD5sum: 0edbf7b5f0491ab536844a2da3310dba
SHA1: c6f89e999f7fdf45ea8a345e44d059a3be2927eb
SHA256: 0277b3a06c6ce2c93503cc6326ee7120edcf3ba2e49b2474414fa7e33bbf273e
SHA512: f7f59bb9adce47c352a9e0385f3c505db6ed1cce8cfac8a80a2d6688bc238e695dd888cf530d6b6c69b95b6ca36f12ad2b51d15c7d815c83622fced1b39900a6
Homepage: https://cran.r-project.org/package=oddstream
Description: CRAN Package 'oddstream' (Outlier Detection in Data Streams)
 We proposes a framework that provides real time support for early detection
 of anomalous series within a large collection of streaming time series data.
 By definition, anomalies are rare in comparison to a system's typical
 behaviour. We define an anomaly as an observation that is very unlikely
 given the forecast distribution. The algorithm first forecasts a boundary
 for the system's typical behaviour using a representative sample of the
 typical behaviour of the system. An approach based on extreme value theory
 is used for this boundary prediction process. Then a sliding window is used
 to test for anomalous series within the newly arrived collection of series.
 Feature based representation of time series is used as the input to the
 model. To cope with concept drift, the forecast boundary for the system's
 typical behaviour is updated periodically.  More details regarding the
 algorithm can be found in Talagala, P. D., Hyndman, R. J., Smith-Miles, K.,
 et al.  (2019) <doi:10.1080/10618600.2019.1617160>.

Package: r-cran-odenetwork
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-desolve
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-odenetwork_1.3.2-1.ca2004.1_all.deb
Size: 127748
MD5sum: 827b9874fef1537b68c0f20e977d804b
SHA1: 6e4a940cfa6dc9d691920377718a58d257bfa71d
SHA256: 7cb9f313f6d42d85682dab66265f780d65381d7539dc83da013269179b951591
SHA512: bc27ea43817dce1f6f3e7b9a724c9fd52acaf087d6c9d9bc3353ca4de3389d5c2d4c0a3953efeb8de65f63d050ac33f773bb8559ae31866ad94b8b1c7ce43b29
Homepage: https://cran.r-project.org/package=ODEnetwork
Description: CRAN Package 'ODEnetwork' (Network of Differential Equations)
 Simulates a network of ordinary differential equations of order two. The
 package provides an easy interface to construct networks. In addition you
 are able to define different external triggers to manipulate the trajectory.
 The method is described by Surmann, Ligges, and Weihs (2014)
 <doi:10.1109/ENERGYCON.2014.6850482>.

Package: r-cran-odesensitivity
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-desolve, r-cran-odenetwork, r-cran-sensitivity
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-odesensitivity_1.1.2-1.ca2004.1_all.deb
Size: 143204
MD5sum: bc51832ed1c64efd8722d4c9283186ad
SHA1: 04c58a6a87a6670302cf5eb52930fc54d01a8ace
SHA256: 3c94965004544f5901c27a024893c15996bd83661d4ccdd4e5f420e3a8173b39
SHA512: 8e9aad86d343f38c37bf088b1eee45b2591fcc98adcb3dad7f80960875f7bfe88e86516c1f611e46b9ce303f792de59a1e73305c2bcc54aa784182d7fd8e9c94
Homepage: https://cran.r-project.org/package=ODEsensitivity
Description: CRAN Package 'ODEsensitivity' (Sensitivity Analysis of Ordinary Differential Equations)
 Performs sensitivity analysis in ordinary differential equation (ode)
 models.  The package utilize the ode interface from 'deSolve' and connects
 it with the sensitivity analysis from 'sensitivity'. Additionally we add a
 method to run the sensitivity analysis on variables with class 'ODEnetwork'.
 A detailed plotting function provides outputs on the calculations.  The
 method is described by Weber, Theers, Surmann, Ligges, and Weihs (2018)
 <doi:10.17877/DE290R-18874>.

Package: r-cran-odetector
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ppclust
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-odetector_1.0.1-1.ca2004.1_all.deb
Size: 222372
MD5sum: e3e2e8c9e936949808bc51dee4ffa74e
SHA1: 00b4cbcb29a00db3461ab7dc3a2ea1d3c1daa34c
SHA256: 98fcbd028f935ec460bcfb15e5def2ba25f784e26d065fa9279e615f5ec9c1ca
SHA512: f8c274d3df841ec2625cdb18de8c0037a7f6e2d1bbcd8e45330dab7ab957872138984c95b38a76a97224e166bd6cbd7a6047ede1ba833ec6c991ed84c34fdb93
Homepage: https://cran.r-project.org/package=odetector
Description: CRAN Package 'odetector' (Outlier Detection Using Partitioning Clustering Algorithms)
 An object is called "outlier" if it remarkably deviates from the other
 objects in a data set. Outlier detection is the process to find outliers by
 using the methods that are based on distance measures, clustering and
 spatial methods (Ben-Gal, 2005 <ISBN 0-387-24435-2>). It is one of the
 intensively studied research topics for identification of novelties, frauds,
 anomalies, deviations or exceptions in addition to its use for outlier
 removing in data processing. This package provides the implementations of
 some novel approaches to detect the outliers based on typicality degrees
 that are obtained with the soft partitioning clustering algorithms such as
 Fuzzy C-means and its variants.

Package: r-cran-odin
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2057
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-cinterpolate, r-cran-desolve, r-cran-digest, r-cran-glue, r-cran-jsonlite, r-cran-ring, r-cran-withr
Suggests: r-cran-dde, r-cran-jsonvalidate, r-cran-knitr, r-cran-mockery, r-cran-pkgbuild, r-cran-pkgload, r-cran-rlang, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-odin_1.2.7-1.ca2004.1_all.deb
Size: 1481440
MD5sum: 52ac02283f8b2ecccaa4809c447bfe03
SHA1: e52fd2ab689675205d7619f96ecefee2990fd914
SHA256: 331daee871e246b5837d09a1abbb07fd664d1c39077778fa8426c2a35f4ec98b
SHA512: 5cb7c6443d6353692c479c2fb28f5ec5619cfa0dc1d20edcad7f36874a669fe74a6e640802a07b93fdb07be53f5888864230f9efc70f86d6c4bf82220ecf72be
Homepage: https://cran.r-project.org/package=odin
Description: CRAN Package 'odin' (ODE Generation and Integration)
 Generate systems of ordinary differential equations (ODE) and integrate
 them, using a domain specific language (DSL).  The DSL uses R's syntax, but
 compiles to C in order to efficiently solve the system.  A solver is not
 provided, but instead interfaces to the packages 'deSolve' and 'dde' are
 generated.  With these, while solving the differential equations, no
 allocations are done and the calculations remain entirely in compiled code.
 Alternatively, a model can be transpiled to R for use in contexts where a C
 compiler is not present.  After compilation, models can be inspected to
 return information about parameters and outputs, or intermediate values
 after calculations.  'odin' is not targeted at any particular domain and is
 suitable for any system that can be expressed primarily as mathematical
 expressions.  Additional support is provided for working with delays (delay
 differential equations, DDE), using interpolated functions during
 interpolation, and for integrating quantities that represent arrays.

Package: r-cran-odk
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsheet, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-odk_1.5-1.ca2004.1_all.deb
Size: 152864
MD5sum: 2f1516a39c6be4c7d7017c6749c2e111
SHA1: ba2ae3aab8b656b3662d3375aa17d34abb2eb690
SHA256: 61910f9f54b429e1d54058e73893adc0c013955f4db035a990866ce7e9671b84
SHA512: cfcecffe37ab306c6a866a2fdfa6494c7f79c9db075bc6b99b728f5ab4ac20169e0241088db07bcb8786528a83d4b7be5eeab939ce498af20a95ae56dde2de72
Homepage: https://cran.r-project.org/package=odk
Description: CRAN Package 'odk' (Convert 'ODK' or 'XLSForm' to 'SPSS' Data Frame)
 After develop a 'ODK' <https://opendatakit.org/> frame, we can link the
 frame to 'Google Sheets' <https://www.google.com/sheets/about/> and collect
 data through 'Android' <https://www.android.com/>. This data uploaded to a
 'Google sheets'. odk2spss() function help to convert the 'odk' frame into
 'SPSS' <https://www.ibm.com/analytics/us/en/technology/spss/> frame. Also
 able to add downloaded 'Google sheets' data or read data from 'Google
 sheets' by using 'ODK' frame 'submission_url'.

Package: r-cran-odmeans
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3159
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geosphere, r-cran-ggplot2, r-cran-ggmap, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-odmeans_0.2.1-1.ca2004.1_all.deb
Size: 3202692
MD5sum: 5e26dcfde3e39c463c6f81b643708808
SHA1: 15db00d0cc0d7374b7c3c641378e15e1f4521c91
SHA256: 514134f7cf352e6ca197af5508b1e330b7760e0e14d24b3a1945eaa6efec33c4
SHA512: 631adc5e770ad46d0c0acc9cab58dbddf4dc3e710984356d3461399591d725b15e3dd50c8664d8d2c793feaae4e63e022ade855150be3286d94ed93a68eede8f
Homepage: https://cran.r-project.org/package=ODMeans
Description: CRAN Package 'ODMeans' (OD-Means: k-Means for Origin-Destination)
 OD-means is a hierarchical adaptive k-means algorithm based on
 origin-destination pairs.  In the first layer of the hierarchy, the clusters
 are separated automatically based on the variation of the within-cluster
 distance of each cluster until convergence. The second layer of the
 hierarchy corresponds to the sub clustering process of small clusters based
 on the distance between the origin and destination of each cluster.

Package: r-cran-odns
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-data.table, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-digest
Filename: pool/dists/focal/main/r-cran-odns_1.0.2-1.ca2004.1_all.deb
Size: 52032
MD5sum: e952719e80edf8b8efff9cae1b30e010
SHA1: 563827291d3ff239acbaf8d589a226a664dae46f
SHA256: b057debe356a61329b44056cf6d89a608e70e57ced7798b71f92071cad785dca
SHA512: 380c48b93064bdf1b602fc2f9fa19ee1a6e0b97718fc9dc309f8d1584be8eb9305adf7292e70a2d9bc3a5a00fe6bfced5cf016bae7c10753f9d70469f96196f9
Homepage: https://cran.r-project.org/package=odns
Description: CRAN Package 'odns' (Access Scottish Health and Social Care Open Data)
 Allows potential users of Scottish Health and Social Care Open Data
 (<https://www.opendata.nhs.scot/>) to easily explore and extract the
 available data.

Package: r-cran-odr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-odr_1.5.0-1.ca2004.1_all.deb
Size: 498848
MD5sum: c6d98214fee3eba3c2b721351832f5d1
SHA1: e84e51312fa6f79bf3b65f6b2981430f4ca7125b
SHA256: ed524526040f369d8d5f49c95a6ca163ea2f8f79b1e731116358023b2b807e06
SHA512: 3a0d4b128f62869e3b221285ee2b582bda170b10904c1014f6e2f428ac22f5dbb111974678d25bccc6335c3b1c54e9bff239e89472a19a8a9a1766d5dec624d7
Homepage: https://cran.r-project.org/package=odr
Description: CRAN Package 'odr' (Optimal Design and Statistical Power for Experimental StudiesInvestigating Main, Mediation, and Moderation Effects)
 Calculate the optimal sample size allocation that uses the minimum resources
 to achieve targeted statistical power in experiments.  Perform power
 analyses with and without accommodating costs and budget. The designs cover
 single-level and multilevel experiments detecting main, mediation, and
 moderation effects (and some combinations).  The references for the proposed
 methods include: (1) Shen, Z., & Kelcey, B. (2020).  Optimal sample
 allocation under unequal costs in cluster-randomized trials.  Journal of
 Educational and Behavioral Statistics, 45(4): 446-474.
 <doi:10.3102/1076998620912418>.  (2) Shen, Z., & Kelcey, B. (2022b). Optimal
 sample allocation for three-level multisite cluster-randomized trials.
 Journal of Research on Educational Effectiveness, 15 (1), 130-150.
 <doi:10.1080/19345747.2021.1953200>.  (3) Shen, Z., & Kelcey, B. (2022a).
 Optimal sample allocation in multisite randomized trials. The Journal of
 Experimental Education, 90(3), 693-711. <doi:10.1080/00220973.2020.1830361>.
 (4) Shen, Z., Leite, W., Zhang, H., Quan, J., & Kuang, H. (2025).  Using ant
 colony optimization to identify optimal sample allocations in
 cluster-randomized trials.  The Journal of Experimental Education, 93(1),
 167-185.  <doi:10.1080/00220973.2024.2306392>.  (5) Shen, Z., Li, W., &
 Leite, W. (in press). Statistical power and optimal design for randomized
 controlled trials investigating mediation effects. Psychological Methods.
 <doi:10.1037/met0000698>.  (6) Champely, S. (2020). pwr: Basic functions for
 power analysis (Version 1.3-0) [Software]. Available from
 <https://CRAN.R-project.org/package=pwr>.

Package: r-cran-ods
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ods_0.2.0-1.ca2004.1_all.deb
Size: 246632
MD5sum: 6f78404b379a463fe4cdc6b3cd2af18a
SHA1: 03bca3261cab74329607f278b0eaf0b789eb3e00
SHA256: f4e84fb455cc127836888d4b41e9e92c3faa31835fb40279cbf45fd58f5b259a
SHA512: acf41ca8ac8deeecf6ed635c8667b7e83f030459ff23fb11e863fa2f725a7242632631ea498770f872da32ea91e4fae1b42f89da859a2dc56e30e5dc061c1b24
Homepage: https://cran.r-project.org/package=ODS
Description: CRAN Package 'ODS' (Statistical Methods for Outcome-Dependent Sampling Designs)
 Outcome-dependent sampling (ODS) schemes are cost-effective ways to enhance
 study efficiency.  In ODS designs, one observes the exposure/covariates with
 a probability that depends on the outcome variable. Popular ODS designs
 include case-control for binary outcome, case-cohort for time-to-event
 outcome, and continuous outcome ODS design (Zhou et al. 2002) <doi:
 10.1111/j.0006-341X.2002.00413.x>.  Because ODS data has biased sampling
 nature, standard statistical analysis such as linear regression will lead to
 biases estimates of the population parameters. This package implements four
 statistical methods related to ODS designs: (1) An empirical likelihood
 method analyzing the primary continuous outcome with respect to exposure
 variables in continuous ODS design (Zhou et al., 2002). (2) A partial linear
 model analyzing the primary outcome in continuous ODS design (Zhou, Qin and
 Longnecker, 2011) <doi: 10.1111/j.1541-0420.2010.01500.x>. (3) Analyze a
 secondary outcome in continuous ODS design (Pan et al. 2018) <doi:
 10.1002/sim.7672>. (4) An estimated likelihood method analyzing a secondary
 outcome in case-cohort data (Pan et al. 2017) <doi: 10.1111/biom.12838>.

Package: r-cran-odt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1522
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-partykit, r-cran-data.tree, r-cran-magick, r-cran-diagrammersvg, r-cran-diagrammer, r-cran-rsvg
Suggests: r-cran-runit, r-cran-matrix, r-cran-rmarkdown, r-cran-robustbase, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-odt_1.0.0-1.ca2004.1_all.deb
Size: 1337472
MD5sum: 7178b6676910a02445781ba0bb76da08
SHA1: 62991f055ec92e41ac9ff9856c9f42536b89967d
SHA256: 31d704e556f422dbd8c8c5c0b0772cf6615f187830ea062654dfbd5c369ddf27
SHA512: 125366b9944fe07d647476c2f56bf58d3d9947d5b5b2f16f08d7cffce8d3b2e72d34e2c89b14b3d2670d5bc683a665ccc46b1cbf862818cc7bad8ca35b5720cb
Homepage: https://cran.r-project.org/package=ODT
Description: CRAN Package 'ODT' (Optimal Decision Trees Algorithm)
 Implements a tree-based method specifically designed for personalized
 medicine applications. By using genomic and mutational data, 'ODT'
 efficiently identifies optimal drug recommendations tailored to individual
 patient profiles. The 'ODT' algorithm constructs decision trees that
 bifurcate at each node, selecting the most relevant markers (discrete or
 continuous) and corresponding treatments, thus ensuring that recommendations
 are both personalized and statistically robust. This iterative approach
 enhances therapeutic decision-making by refining treatment suggestions until
 a predefined group size is achieved. Moreover, the simplicity and
 interpretability of the resulting trees make the method accessible to
 healthcare professionals. Includes functions for training the decision tree,
 making predictions on new samples or patients, and visualizing the resulting
 tree. For detailed insights into the methodology, please refer to Gimeno et
 al. (2023) <doi:10.1093/bib/bbad200>.

Package: r-cran-oecd
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-readsdmx
Suggests: r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-oecd_0.2.5-1.ca2004.1_all.deb
Size: 25196
MD5sum: 4481d74cf343ef9534a12dbc37f1de19
SHA1: e326127fac316b1e591b1f58d9ae4775c5f8d35c
SHA256: 29b5ce269dbd2012ace068569c01ce931f6e92df8c3a2604653cc7554888b7ae
SHA512: 8cc2ebb05b606cc6e0e8df43ad8c58f8d4387ec995ad73cd1da7e42840479ffb76f99e458e059a4a4085c9323180c50c04edfe631eff522350ab796a8128733e
Homepage: https://cran.r-project.org/package=OECD
Description: CRAN Package 'OECD' (Search and Extract Data from the OECD)
 Search and extract data from the Organization for Economic Cooperation and
 Development (OECD).

Package: r-cran-oefpil
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deriv, r-cran-mass, r-cran-ggplot2, r-cran-matrixcalc, r-cran-minpack.lm, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-oefpil_0.1.1-1.ca2004.1_all.deb
Size: 121148
MD5sum: 8a506db0816ca0a446007383ed43c1e2
SHA1: d18fd9bb11db825f1f8914259216ba4a4956c343
SHA256: b09da18c98b1145ceb4cc668d74facd7ca11096fa2e317086e13a01b27dbcd21
SHA512: 0656149f05669f538ad1e45600fac0c83bf6a591889d1d7955aa867d9221e064a6ad0a4c1d994335f7c5714e406d74fb717fbcf8a7298d9e0a58236ec78c8bca
Homepage: https://cran.r-project.org/package=OEFPIL
Description: CRAN Package 'OEFPIL' (Optimal Estimation of Function Parameters by IteratedLinearization)
 Package for estimating the parameters of a nonlinear function using iterated
 linearization via Taylor series.  Method is based on Kubáček (2000) ISBN:
 80-244-0093-6. The algorithm is a generalization of the procedure given in
 Köning, R., Wimmer, G.  and Witkovský, V. (2014)
 <doi:10.1088/0957-0233/25/11/115001>.

Package: r-cran-oenb
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-oenb_0.0.2-1.ca2004.1_all.deb
Size: 34576
MD5sum: e5eb8eb60c6bccbe93660781d0fef734
SHA1: 68edd624c5739aa4da9e28dc0737f753c10686f1
SHA256: 384456fa2c9409d78da985cd522cf0f1ad70b4125aec59af9786ce2d524a5397
SHA512: c28e89d76ac36c4af4f214083fa773cf01250fa6a66468eb42e1cf37cb245bb982b710d0be9cc750e8e943f47fb7943674e1d6e0982cc207de16a6ccc69fd8d6
Homepage: https://cran.r-project.org/package=oenb
Description: CRAN Package 'oenb' (Tools for the OeNB Data Web Service)
 Tools to access data from the data web service of the Oesterreichische
 Nationalbank (OeNB),
 <https://www.oenb.at/en/Statistics/User-Defined-Tables/webservice.html>.

Package: r-cran-oenokpm
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-openxlsx, r-cran-ggpubr, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-oenokpm_2.4.1-1.ca2004.1_all.deb
Size: 87300
MD5sum: 633f4dcccc2ed6dac50896f2b307cab9
SHA1: e5dd715a8d044e1f7247bf998c0e04dff3dafd5c
SHA256: b6b3d58b776283ba9f60daf7df39fcf557bed15f6254641b64025dccc752d535
SHA512: 5372969dff9db4e592958f7342fb00ff54dcbff014fa4ec55713781c5685d7e9c8b388124b4a7d6bc0a64920488de62bea3a12910c78dd1bec6d9cc592494e7e
Homepage: https://cran.r-project.org/package=OenoKPM
Description: CRAN Package 'OenoKPM' (Modeling the Kinetics of Carbon Dioxide Production in AlcoholicFermentation)
 Developed to help researchers who need to model the kinetics of carbon
 dioxide (CO2) production in alcoholic fermentation of wines, beers and other
 fermented products. The following models are available for modeling the
 carbon dioxide production curve as a function of time: 5PL, Gompertz and
 4PL. This package has different functions, which applied can: perform the
 modeling of the data obtained in the fermentation and return the
 coefficients, analyze the model fit and return different statistical
 metrics, and calculate the kinetic parameters: Maximum production of carbon
 dioxide; Maximum rate of production of carbon dioxide; Moment in which
 maximum fermentation rate occurs; Duration of the latency phase for carbon
 dioxide production; Carbon dioxide produced until maximum fermentation rate
 occurs. In addition, a function that generates graphs with the observed and
 predicted data from the models, isolated and combined, is available. Gava,
 A., Borsato, D., & Ficagna, E. (2020)."Effect of mixture of fining agents on
 the fermentation kinetics of base wine for sparkling wine production: Use of
 methodology for modeling". <doi:10.1016/j.lwt.2020.109660>.

Package: r-cran-oesr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-estimatr, r-cran-extrafont, r-cran-ggplot2, r-cran-rlang, r-cran-sandwich, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-oesr_0.1.0-1.ca2004.1_all.deb
Size: 134688
MD5sum: 27ca2ff2e9dc9db5eb71c8f73ac2634d
SHA1: adbe4d80e14a99555fbfb5d1696bf2a19f306191
SHA256: f194399b422e01c8b881e23aa24ca36f66c752ed2e37efe7b09116605abf069b
SHA512: ce85bd5e380e3e7d478f5afd6e26783e84ebccdc719e88e5565c14fdc659f88318ac172053a2ae85ecbdd3fc4b5b011d634fbc6737d7e9d9370f6bb360a32848
Homepage: https://cran.r-project.org/package=oesr
Description: CRAN Package 'oesr' (Methods for the Office of Evaluation Sciences)
 Methods for statistical analysis and reporting preferred by the US Office of
 Evaluation Sciences (OES). This package prepares data from standard model
 output objects (such as from \code{lm()} and \code{estimatr::lm_robust()})
 and creates visualizations of treatment effects from the prepared
 quantities, according to the standards of the US Office of Evaluation
 Sciences.

Package: r-cran-oews2020
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4452
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oews2020_1.0.0-1.ca2004.1_all.deb
Size: 4523436
MD5sum: d9779c235646b174d9099d9bec53411a
SHA1: c2684f5734806d9f9a347e446d7fc9ec5f3f3b1f
SHA256: e6f0f9d2233f1c106216843172d2a4ef215bc4bf882753d225f10e906691aba2
SHA512: bdb9eaa852e2ba177656efc003a98f9708d506f782f1a19ad649ce36abd865b47d5ab0c39c72500357e410288e996332e75ec5556c07c47cd552f6a64b466595
Homepage: https://cran.r-project.org/package=oews2020
Description: CRAN Package 'oews2020' (May 2020 Occupational Employment and Wage Statistics)
 Contains data from the May 2020 Occupational Employment and Wage Statistics
 data release from the U.S. Bureau of Labor Statistics. The dataset covers
 employment and wages across occupations, industries, states, and at the
 national level. Metropolitan data is not included.

Package: r-cran-oews2021
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4377
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oews2021_1.0.0-1.ca2004.1_all.deb
Size: 4445992
MD5sum: 579467b41dfd7b3495a474d1d03c7388
SHA1: 5645c8446492a1f3d98838b59e47cb5feab37ef1
SHA256: 441e74fec3310d314efbde0e69fffef16aa7a532316fb3f065ff8fcdd3add2a3
SHA512: e3544135dbe5554983411024d9fb0b3b07c3a64246d09d2f16b10e09880551bfdb8af9d8eb29d646da8e39861e612832956e282efb817a1449eeac770cf26471
Homepage: https://cran.r-project.org/package=oews2021
Description: CRAN Package 'oews2021' (May 2021 Occupational Employment and Wage Statistics)
 Contains data from the May 2021 Occupational Employment and Wage Statistics
 data release from the U.S. Bureau of Labor Statistics. The dataset covers
 employment and wages across occupations, industries, states, and at the
 national level. Metropolitan data is not included.

Package: r-cran-officedown
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 792
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-knitr, r-cran-memoise, r-cran-officer, r-cran-rlang, r-cran-rmarkdown, r-cran-rvg, r-cran-uuid, r-cran-xml2, r-cran-yaml
Suggests: r-cran-bookdown, r-cran-doconv, r-cran-flextable, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-officedown_0.4.1-1.ca2004.1_all.deb
Size: 658560
MD5sum: b4ba0af5c8d0839104893292ca8229c5
SHA1: 4bddb4ddc8fc2b22d828a18107a96c54a4d06727
SHA256: 51b4fff6386f4021aa976067180dc6f61dd1203656f4faefafa959dc33f8a9a9
SHA512: f7b0682e0e117d4cee0d593eeab107c45441c1220d251ddceb8a4dbf8caea9bd0785a1f55f5b486a1568a22c9792621c576b964431d53a7951763bb80cf64a53
Homepage: https://cran.r-project.org/package=officedown
Description: CRAN Package 'officedown' (Enhanced 'R Markdown' Format for 'Word' and 'PowerPoint')
 Allows production of 'Microsoft' corporate documents from 'R Markdown' by
 reusing formatting defined in 'Microsoft Word' documents.  You can reuse
 table styles, list styles but also add column sections, landscape oriented
 pages. Table and image captions as well as cross-references are transformed
 into 'Microsoft Word' fields, allowing documents edition and merging without
 issue with references; the syntax conforms to the 'bookdown' cross-reference
 definition.  Objects generated by the 'officer' package are also supported
 in the 'knitr' chunks.  'Microsoft PowerPoint' presentations also benefit
 from this as well as the ability to produce editable vector graphics in
 'PowerPoint' and also to define placeholder where content is to be added.

Package: r-cran-officer
Architecture: all
Version: 0.6.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2068
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-openssl, r-cran-r6, r-cran-ragg, r-cran-uuid, r-cran-xml2, r-cran-zip
Suggests: r-cran-devemf, r-cran-doconv, r-cran-gdtools, r-cran-ggplot2, r-cran-knitr, r-cran-magick, r-cran-rmarkdown, r-cran-rsvg, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-officer_0.6.10-1.ca2004.1_all.deb
Size: 1791096
MD5sum: fd7415f1491fd8b9bbaba8f72ce3c6bf
SHA1: 0916285bffc54fe3477a5fa0dc9311fe14eb8656
SHA256: ba8b6d87c03e726d924b22f66cbe01cf5357f4c3bb078d8f4fc4ce07b95b5306
SHA512: e6856fd4885a5305d856effda2231520777178a13c7b2c6cca1f3560b69af3e6f063591ec8889e571984fc0d3e9bc35c5e15dbcecfd8dec904ebcb0f55507f8f
Homepage: https://cran.r-project.org/package=officer
Description: CRAN Package 'officer' (Manipulation of Microsoft Word and PowerPoint Documents)
 Access and manipulate 'Microsoft Word', 'RTF' and 'Microsoft PowerPoint'
 documents from R.  The package focuses on tabular and graphical reporting
 from R; it also provides two functions that let users get document content
 into data objects. A set of functions lets add and remove images, tables and
 paragraphs of text in new or existing documents.  The package does not
 require any installation of Microsoft products to be able to write Microsoft
 files.

Package: r-cran-offsetreg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-glue, r-cran-parsnip, r-cran-poissonreg, r-cran-rlang
Suggests: r-cran-broom, r-cran-glmnet, r-cran-knitr, r-cran-recipes, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-tune, r-cran-workflows, r-cran-rsample, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-offsetreg_1.1.1-1.ca2004.1_all.deb
Size: 87468
MD5sum: 589bf00606ac9e8f9886b5cf381cf561
SHA1: 92b5f1217bf8d28edd40b85d7e95ac965cae5796
SHA256: c0b033d88905257c7b9409e12678027729e034c090a0ebb293d7c7dfc9ac493f
SHA512: ca96f757a01166e76676d3e81e8e20bdc24d1cb7b7b0d6e0018baf065f382172fd3db91de22fa44c5158bd3e9f55512458e4ca623f4e2559efd43ed705e1b336
Homepage: https://cran.r-project.org/package=offsetreg
Description: CRAN Package 'offsetreg' (An Extension of 'Tidymodels' Supporting Offset Terms)
 Extend the 'tidymodels' ecosystem <https://www.tidymodels.org/> to enable
 the creation of predictive models with offset terms. Models with offsets are
 most useful when working with count data or when fitting an adjustment model
 on top of an existing model with a prior expectation.  The former situation
 is common in insurance where data is often weighted by exposures. The latter
 is common in life insurance where industry mortality tables are often used
 as a starting point for setting assumptions.

Package: r-cran-ofgem
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-mass, r-cran-forestplot
Filename: pool/dists/focal/main/r-cran-ofgem_1.0-1.ca2004.1_all.deb
Size: 29940
MD5sum: 83fe9295ca15ef3df0ec97580cc345b9
SHA1: 0ce219617a6c4d4ef161255907dbcbf40cfdeda5
SHA256: 520738c101764cd10278a484ef3a32fc6c8772cb77f2aba3def0a47465e20b28
SHA512: 3acf59e014bcb059f9a6f77bb68d044d4eaf3dd096d5f353eef28edc93df459c25944937521db7af36f69981e1cd85ab7842139859894d122ecbd2ecaadd5ef8
Homepage: https://cran.r-project.org/package=ofGEM
Description: CRAN Package 'ofGEM' (A Meta-Analysis Approach with Filtering for IdentifyingGene-Level Gene-Environment Interactions with GeneticAssociation Data)
 Offers a gene-based meta-analysis test with filtering to detect
 gene-environment interactions (GxE) with association data, proposed by Wang
 et al. (2018) <doi:10.1002/gepi.22115>. It first conducts a meta-filtering
 test to filter out unpromising SNPs by combining all samples in the
 consortia data. It then runs a test of omnibus-filtering-based GxE
 meta-analysis (ofGEM) that combines the strengths of the fixed- and
 random-effects meta-analysis with meta-filtering. It can also analyze data
 from multiple ethnic groups.

Package: r-cran-ofpetrial
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3907
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-sf, r-cran-lwgeom, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-ggpubr, r-cran-ggextra, r-cran-terra, r-cran-zip, r-cran-rmarkdown, r-cran-tmap, r-cran-magrittr, r-cran-dplyr, r-cran-bookdown, r-cran-leaflet
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ofpetrial_0.1.2-1.ca2004.1_all.deb
Size: 1968704
MD5sum: ea4d7e5d743dddce7b7b3b8a333baf5f
SHA1: cb07679dc52832bfd7f76c4493469ec3d407917e
SHA256: 659785a41dc924dae920bf78290632ee1f73d6a181f147d948f042cd149f2c05
SHA512: 39187080b2c7f13580a8635931f17e08584a7946becda00278f23cff650b416fb10a31ea447beaf8b671db54ba07e16e4404d4102e4c3be2b7470877cc8ee8a5
Homepage: https://cran.r-project.org/package=ofpetrial
Description: CRAN Package 'ofpetrial' (Design on-Farm Precision Field Agronomic Trials)
 A comprehensive system for designing and implementing on-farm precision
 field agronomic trials. You provide field data, tell 'ofpetrial' how to
 design a trial, and get readily-usable trial design files and a report
 checks the validity and reliability of the trial design.

Package: r-cran-ogi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-ade4, r-cran-bnlearn, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ogi_1.0.0-1.ca2004.1_all.deb
Size: 29696
MD5sum: e58aceb7a1739735139fb0100000a7bd
SHA1: 723508de75d9588f154cef7b55340b0f9b43178a
SHA256: 8b262f7d3cc421d684bfb26eaa3aff43c0d1f70e2cd5f74347446fd7ab8d1a8c
SHA512: 8a089d8e90e7173897e3271f309b609f8c90db48d98b2333f50aea208151df86a5e5726645d9856acef547e17bb40cc07ccc1757d5c91ed5d16604c2ba7a7312
Homepage: https://cran.r-project.org/package=OGI
Description: CRAN Package 'OGI' (Objective General Index)
 Consider a data matrix of n individuals with p variates. The objective
 general index (OGI) is a general index that combines the p variates into a
 univariate index in order to rank the n individuals. The OGI is always
 positively correlated with each of the variates.  More details can be found
 in Sei (2016) <doi:10.1016/j.jmva.2016.02.005>.

Package: r-cran-oglcnac
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr, r-cran-jsonlite, r-cran-shiny, r-cran-dt, r-cran-bslib, r-cran-readxl, r-cran-glue
Suggests: r-cran-testthat, r-cran-tibble, r-cran-curl
Filename: pool/dists/focal/main/r-cran-oglcnac_0.1.5-1.ca2004.1_all.deb
Size: 36016
MD5sum: 9a5809073cbb902b41c9bef3d50ed2c5
SHA1: c645ee88e479312f5d745779029ac84857c6b5e6
SHA256: e28c61c40ffdcf66964fbad0bef04f7fc101cb2ee56d2bdffc8c4af8b8bfc4a0
SHA512: 111482825e1c2131262f8c9f94a3201c8e33e3a350b29d2d571641445efdd1dcd77be7f7e2f9ef58db617a04eac1acbf89110c8c7ded688d7e80814986d1ca47
Homepage: https://cran.r-project.org/package=oglcnac
Description: CRAN Package 'oglcnac' (Processing and Analysis of 'O-GlcNAcAtlas' Data)
 Provides tools for processing and analyzing data from the 'O-GlcNAcAtlas'
 database <https://oglcnac.org/>, as described in Ma (2021)
 <doi:10.1093/glycob/cwab003>. It integrates 'UniProt'
 <https://www.uniprot.org/> API calls to retrieve additional information. It
 is specifically designed for research workflows involving 'O-GlcNAcAtlas'
 data, providing a flexible and user-friendly interface for customizing and
 downloading processed results. Interactive elements allow users to easily
 adjust parameters and handle various biological datasets.

Package: r-cran-oglmx
Architecture: all
Version: 3.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik
Suggests: r-cran-glmx, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-oglmx_3.0.0.0-1.ca2004.1_all.deb
Size: 494780
MD5sum: 8961935e4995cd0d7d23574bf943e839
SHA1: 3d479864fa736caee83b6a97fb52233fe939633a
SHA256: 92237a5cf4650574eb4e97a6a10e1d7cebae7171add49f0722c1515168677d36
SHA512: 7b4fa21b48977dd7e39d8901bd6306b028d995feec9e743c426b9e0e4d741a9239d1122f0586d9f03b395e44548dabd67275344b7cfd0b43d755a8d86c55ced5
Homepage: https://cran.r-project.org/package=oglmx
Description: CRAN Package 'oglmx' (Estimation of Ordered Generalized Linear Models)
 Ordered models such as ordered probit and ordered logit presume that the
 error variance is constant across observations. In the case that this
 assumption does not hold estimates of marginal effects are typically biased
 (Weiss (1997)). This package allows for generalization of ordered probit and
 ordered logit models by allowing the user to specify a model for the
 variance. Furthermore, the package includes functions to calculate the
 marginal effects. Wrapper functions to estimate the standard limited
 dependent variable models are also included.

Package: r-cran-ogrdbstats
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tigger, r-cran-alakazam, r-cran-stringr, r-cran-data.table, r-cran-gridextra, r-cran-tidyr, r-cran-stringdist, r-cran-rcolorbrewer, r-bioc-biostrings, r-cran-argparser, r-bioc-complexheatmap, r-cran-bookdown, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ogrdbstats_0.5.2-1.ca2004.1_all.deb
Size: 201284
MD5sum: 24e871507e7679a3a652b1adc8a013f2
SHA1: c667acc40494d7b79456452f57547bf696ce6810
SHA256: 5951b37545f5b780df8cdc4b5cb201b0d655b73414cdeb90e0406d81e7466f01
SHA512: ee862bff1e0aab3b25c841b5c032d35c93676952a326e00ce5d14e554da1865cbf7aac95f86d4a68f60963d02b6948fe1460111edda430605d7d220eed5f8961
Homepage: https://cran.r-project.org/package=ogrdbstats
Description: CRAN Package 'ogrdbstats' (Analysis of Adaptive Immune Receptor Repertoire Germ LineStatistics)
 Multiple tools are now available for inferring the personalised germ line
 set from an adaptive immune receptor repertoire.  Output from these tools is
 converted to a single format and supplemented with rich data such as usage
 and characterisation of 'novel' germ line alleles. This data can be
 particularly useful when considering the validity of novel inferences. Use
 of the analysis provided is described in <doi:10.3389/fimmu.2019.00435>.

Package: r-cran-ohcspackage
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-openxlsx, r-cran-readr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ohcspackage_0.1.5-1.ca2004.1_all.deb
Size: 46740
MD5sum: 3a69204e4d38681dcb7afe15a3ba877b
SHA1: 93c3cf84f502aac1b4d7e9c2550e2db96ffc04a4
SHA256: f291d3bb284b6a267635554c19f974cb0004e8e0e75523ec6e133408dad3c92c
SHA512: 6260c1090b236c106f3826b72bb4ef6e0eebbb97c20a78dcaf92d935104caceb2ad06ee416ed797ed1c5db197366bf12609db1c4244500625825321344f967f7
Homepage: https://cran.r-project.org/package=OHCSpackage
Description: CRAN Package 'OHCSpackage' (Prepare Housing Data for Analysis)
 Prepares census and core housing needs data, specifically designed for use
 with Statistics Canada data and standardized input data. The package offers
 functions for tidying, organizing, and splitting complex data tables, making
 it easier for users to perform analyses on the data. 'OHCSpackage''' is
 particularly useful for those working with census data that has a consistent
 format, number of rows, and number of columns. With this package, users can
 save time and streamline their data preparation processes.

Package: r-cran-ohdsireportgenerator
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2656
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-circer, r-cran-databaseconnector, r-cran-forestplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gt, r-cran-htmltools, r-cran-kableextra, r-cran-parallellogger, r-cran-quarto, r-cran-reactable, r-cran-rlang, r-cran-rmarkdown, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-resultmodelmanager, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ohdsireportgenerator_1.1.1-1.ca2004.1_all.deb
Size: 2266648
MD5sum: 3494aa7f2cbef28a089959723584ebef
SHA1: 7e7fd5d3f8f698796f3c8a2873f3eb19767b8e31
SHA256: c4a12ecb9548609b3a705d5060a0a20547d84b6e086baaa52026b46045690d6e
SHA512: a403279e03e1456947e1333bd5b995d3fdcca3769038b295a1ca3dd918c1a982775ee201c82439d27101239552aeaa054ae3b494b587d759c0add132de3dc59b
Homepage: https://cran.r-project.org/package=OhdsiReportGenerator
Description: CRAN Package 'OhdsiReportGenerator' (Observational Health Data Sciences and Informatics ReportGenerator)
 Extract results into R from the Observational Health Data Sciences and
 Informatics result database (see
 <https://ohdsi.github.io/Strategus/results-schema/index.html>) and generate
 reports/presentations via 'quarto' that summarize results in HTML format.
 Learn more about 'OhdsiReportGenerator' at
 <https://ohdsi.github.io/OhdsiReportGenerator/>.

Package: r-cran-ohdsishinyappbuilder
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-databaseconnector, r-cran-devtools, r-cran-dplyr, r-cran-parallellogger, r-cran-resultmodelmanager, r-cran-rlang, r-cran-shiny, r-cran-shinydashboard
Suggests: r-cran-eunomia, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-markdown, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-ohdsishinyappbuilder_1.0.0-1.ca2004.1_all.deb
Size: 145472
MD5sum: 18838a40e5bd726690e798397dba644b
SHA1: de2cd7423f08f1a9a54f9007fb6aea8a35b2cb3a
SHA256: b6cb05133836269db063816cd185236708db96a3216074a006f0e7484c301d75
SHA512: f9e80b166b3acbc40ce6aa75599623682be4d51225f271a849bd6d594224fa0c5daca62646dfc8a6883209655add5970e6880c52a9b886e420d5995e4d11944a
Homepage: https://cran.r-project.org/package=OhdsiShinyAppBuilder
Description: CRAN Package 'OhdsiShinyAppBuilder' (Viewing Observational Health Data Sciences and InformaticsResults via 'shiny' Modules)
 Users can build a single 'shiny' app for exploring population
 characterization, population-level causal effect estimation, and
 patient-level prediction results generated via the R analyses packages in
 'HADES' (see <https://ohdsi.github.io/Hades/>). Learn more about
 'OhdsiShinyAppBuilder' at <https://ohdsi.github.io/OhdsiShinyAppBuilder/>.

Package: r-cran-ohit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ohit_1.0.0-1.ca2004.1_all.deb
Size: 33372
MD5sum: 43d03d9eadd584bc79b441430c6e8b47
SHA1: 7eb686a66255cddd85c77476b21b52bb80827d25
SHA256: 801ed9d183c0e78858a592f00dd026e0b22357bfa481518b37f29adbf100ac55
SHA512: 140de492eacb6f6c70d33653f8eaa3e29c6ee663f242b282f52fd4b5a29a5cd02491733336068a09a86b96a67b27237ee5b12da2ab37113de2ca8561db2563db
Homepage: https://cran.r-project.org/package=Ohit
Description: CRAN Package 'Ohit' (OGA+HDIC+Trim and High-Dimensional Linear Regression Models)
 Ing and Lai (2011) <doi:10.5705/ss.2010.081> proposed a high-dimensional
 model selection procedure that comprises three steps: orthogonal greedy
 algorithm (OGA), high-dimensional information criterion (HDIC), and Trim.
 The first two steps, OGA and HDIC, are used to sequentially select input
 variables and determine stopping rules, respectively. The third step, Trim,
 is used to delete irrelevant variables remaining in the second step. This
 package aims at fitting a high-dimensional linear regression model via
 OGA+HDIC+Trim.

Package: r-cran-ohmmed
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cvms, r-cran-ggmcmc, r-cran-ggplot2, r-cran-gridextra, r-cran-mistr, r-cran-scales, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-ohmmed_1.0.2-1.ca2004.1_all.deb
Size: 603648
MD5sum: c11b7fbd1a58e687275d51cdbb57c198
SHA1: a6b43c2adc75b60e35e033186740dcbdcd9b76b9
SHA256: d24eb9d121720333c4c6538e7666704bc8a2d3652530b95a1269ddceab224ad9
SHA512: fe089f067be440d7e68f5b4f841118373ecedc5ddf6eae0f3ed4a34ae703c9db8b2ab3a2e19082a51a34821b65d02ef1f468a93eb9a37d375a1bca14c2ae3cae
Homepage: https://cran.r-project.org/package=oHMMed
Description: CRAN Package 'oHMMed' (HMMs with Ordered Hidden States and Emission Densities)
 Inference using a class of Hidden Markov models (HMMs) called
 'oHMMed'(ordered HMM with emission densities
 <doi:10.1186/s12859-024-05751-4>): The 'oHMMed' algorithms identify the
 number of comparably homogeneous regions within observed sequences with
 autocorrelation patterns. These are modelled as discrete hidden states; the
 observed data points are then realisations of continuous probability
 distributions with state-specific means that enable ordering of these
 distributions. The observed sequence is labelled according to the hidden
 states, permitting only neighbouring states that are also neighbours within
 the ordering of their associated distributions. The parameters that
 characterise these state-specific distributions are then inferred. Relevant
 for application to genomic sequences, time series, or any other sequence
 data with serial autocorrelation.

Package: r-cran-ohpl
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1077
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-mvtnorm, r-cran-pls
Filename: pool/dists/focal/main/r-cran-ohpl_1.4.1-1.ca2004.1_all.deb
Size: 1035156
MD5sum: b83df6afbab21221be89c7b4eb0a058a
SHA1: fb4b6c15970b5403da739dbae58445d37863c4cb
SHA256: 4b9df0ab28e22588c4e2450a41731f20b48d354bc269bde2c973210d9363be80
SHA512: b7dfa48cdb87a90b63c0012493cfa748530d7c9116895d62c10bd4bfa2453de3db5bf473f5eae8887b7dc29208198e960f3745351b0e3253c1d3a8d1d4a27b3b
Homepage: https://cran.r-project.org/package=OHPL
Description: CRAN Package 'OHPL' (Ordered Homogeneity Pursuit Lasso for Group Variable Selection)
 Ordered homogeneity pursuit lasso (OHPL) algorithm for group variable
 selection proposed in Lin et al. (2017)
 <DOI:10.1016/j.chemolab.2017.07.004>. The OHPL method exploits the
 homogeneity structure in high-dimensional data and enjoys the grouping
 effect to select groups of important variables automatically. This feature
 makes it particularly useful for high-dimensional datasets with strongly
 correlated variables, such as spectroscopic data.

Package: r-cran-ohsome
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3741
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geojsonsf, r-cran-httr, r-cran-jsonlite, r-cran-readr, r-cran-sf
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-httptest, r-cran-janitor, r-cran-knitr, r-cran-mapview, r-cran-nominatimlite, r-cran-osmdata, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tmaptools, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ohsome_0.2.2-1.ca2004.1_all.deb
Size: 1944756
MD5sum: 6134b433004746e638ab0f20cfe1bce5
SHA1: ae34b873a231c9355071fb6f68ff52adc1221797
SHA256: fcec0b66ca21c28c0fb4e68b7d54a51780cf46e9ee55b1b1fe709e0e05179aea
SHA512: 36870baec52f660d209223be240fb2af35ea8ef3cf727f1a3a1c17825d5950277ff829a7ff4d433187966ade8695eae6ac413118aac54bca024175dfe0242249
Homepage: https://cran.r-project.org/package=ohsome
Description: CRAN Package 'ohsome' (An 'ohsome API' Client)
 A client that grants access to the power of the 'ohsome API' from R. It lets
 you analyze the rich data source of the 'OpenStreetMap (OSM)' history. You
 can retrieve the geometry of 'OSM' data at specific points in time, and you
 can get aggregated statistics on the evolution of 'OSM' elements and specify
 your own temporal, spatial and/or thematic filters.

Package: r-cran-ohtadstats
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-ohtadstats_2.1.1-1.ca2004.1_all.deb
Size: 73692
MD5sum: a45c0e48a378200ecfcdcdf4190f5b6f
SHA1: abc7a141416ace5f288e95c27c78477ee6d5c220
SHA256: d8366cb306a8d93022717ba036fde074bb98824bf16108456508b25e526d4392
SHA512: 5c38d5202a55f2ae638cdc283395c9822ec1f4a3d48a2cd298f226d73a7c07a890f702040ca57f7d07af6bfae17405499193c69e832b36a8fe2fba553278958e
Homepage: https://cran.r-project.org/package=ohtadstats
Description: CRAN Package 'ohtadstats' (Tomoka Ohta D Statistics)
 Calculate's Tomoka Ohta's partitioning of linkage disequilibrium, deemed
 D-statistics, for pairs of loci. Petrowski et al. (2019)
 <doi:10.5334/jors.250>.

Package: r-cran-ohun
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6923
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tuner, r-cran-warbler, r-cran-cli, r-cran-seewave, r-cran-fftw, r-cran-rlang, r-cran-sf, r-cran-igraph, r-cran-checkmate, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-viridis, r-cran-sim.diffproc, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ohun_1.0.2-1.ca2004.1_all.deb
Size: 2740452
MD5sum: 6ee0162e54bd62dc5aab453f1b19f2b8
SHA1: 1e82807efa99d2a16d06aeb12259d480bc102995
SHA256: 3e5459d241160d7c10b37864743843062ee69e932c9b56c49b2ee42862ed0ca7
SHA512: c3c7be2b419bc2500c472e0e38b3f537d718207e1619ff41ad6a67a618ed4c4af0c2390db8d7aafe2b5a2ad95430494880e6a6205a43b4419cffc3abdd0578fc
Homepage: https://cran.r-project.org/package=ohun
Description: CRAN Package 'ohun' (Optimizing Acoustic Signal Detection)
 Facilitates the automatic detection of acoustic signals, providing functions
 to diagnose and optimize the performance of detection routines. Detections
 from other software can also be explored and optimized.  This package has
 been peer-reviewed by rOpenSci.  Araya-Salas et al. (2022)
 <doi:10.1101/2022.12.13.520253>.

Package: r-cran-oii
Architecture: all
Version: 1.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rapportools, r-cran-gmodels, r-cran-deducer
Filename: pool/dists/focal/main/r-cran-oii_1.0.2.1-1.ca2004.1_all.deb
Size: 46248
MD5sum: 1d779c0b322fb0999b520137a42701de
SHA1: 176638a846b484726b9c58c3f0fa83b7150210ec
SHA256: a4776b1bef28cbd63900981322d2f1a7e9b869ff8d066f5221cf7e4633276b20
SHA512: 149bca03ba71411e43c115438e7e75221492401caa5077554fcbc0d6d7f444f7cb197e645c202edfb6d534f093172b4198ab6e026867e1b8cab57956ac924451
Homepage: https://cran.r-project.org/package=oii
Description: CRAN Package 'oii' (Crosstab and Statistical Tests for OII MSc Stats Course)
 Provides simple crosstab output with optional statistics (e.g.,
 Goodman-Kruskal Gamma, Somers' d, and Kendall's tau-b) as well as two-way
 and one-way tables. The package is used within the statistics component of
 the Masters of Science (MSc) in Social Science of the Internet at the Oxford
 Internet Institute (OII), University of Oxford, but the functions should be
 useful for general data analysis and especially for analysis of categorical
 and ordinal data.

Package: r-cran-ojsr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rvest, r-cran-tidyr, r-cran-urltools, r-cran-xml2, r-cran-purrr, r-cran-rlang, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ojsr_0.1.5-1.ca2004.1_all.deb
Size: 61688
MD5sum: e7611ce103b9165f30c23cf792a1fdf6
SHA1: 3bb05945a2248dab2e32182b2577aa7c06f8661b
SHA256: 4d15afe8ec0be7ffb238fd275b9fe511ad36076fc5766866b071634738d896d8
SHA512: 34edfc5c52059abd52ef6e373e1e2416edb421e98affbd679c9a24a803c61081ed638a1af6363b89d37297dba784ced0bea4a951a15fbeb507475f8f3dad0d12
Homepage: https://cran.r-project.org/package=ojsr
Description: CRAN Package 'ojsr' (Crawler and Data Scraper for Open Journal System ('OJS'))
 Crawler for 'OJS' pages and scraper for meta-data from articles.  You can
 crawl 'OJS' archives, issues, articles, galleys, and search results.  You
 can scrape articles metadata from their head tag in html, or from Open
 Archives Initiative ('OAI') records.  Most of these functions rely on 'OJS'
 routing conventions
 (<https://docs.pkp.sfu.ca/dev/documentation/en/architecture-routes>).

Package: r-cran-okcolors
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-okcolors_0.1.0-1.ca2004.1_all.deb
Size: 17712
MD5sum: 9503de3af4d3ded8c486fa4ccf0b6df6
SHA1: 363b3e1f1cf41707146ac3176e437ac169c2b3c2
SHA256: 77e024fa2c6cc849dca754472cc89fbf61792638e0ccf94bff1dd3f70024bf8c
SHA512: 4d090f83cef73344a002dc5d0c4bfb46d02c4efca6bb1d23a1ae31f103b2dd1c235dd4f9cfc3d7f64e8dd52bb8c29900e0ca3a746d2092e634e499dd16131d79
Homepage: https://cran.r-project.org/package=okcolors
Description: CRAN Package 'okcolors' (A Set of Color Palettes Inspired by OK Go Music Videos for'ggplot2' in R)
 A collection of aesthetically appealing color palettes for effective data
 visualization with 'ggplot2'. Palettes support both discrete and continuous
 data.

Package: r-cran-okmesonet
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-okmesonet_0.1.5-1.ca2004.1_all.deb
Size: 71020
MD5sum: 9ad9998baa6d2ab7de1c2199da4dd1dd
SHA1: 55bb2d0f3646c6a2a3297b8c9e9bae9bf55f4fa4
SHA256: db1107beabd72e3758e1352fe469cdfd27cb6ba89135d7d3ec9db959e21750b8
SHA512: 29c4873f6d8f1fdfb35e093ba04fb8ad707d7b2010bfb925c957b5f48def2d657c8cf4283f4df738976caf1898a4bfaf14cd7a15f3a9564f74acdcff0de7352e
Homepage: https://cran.r-project.org/package=okmesonet
Description: CRAN Package 'okmesonet' (Retrieve Oklahoma Mesonet climatological data)
 okmesonet retrieves and summarizes Oklahoma (USA) Mesonet climatological
 data provided by the Oklahoma Climatological Survey.  Measurements are
 recorded every five minutes at approximately 120 stations throughout
 Oklahoma and are available in near real-time.

Package: r-cran-oknne
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-oknne_1.0.1-1.ca2004.1_all.deb
Size: 26328
MD5sum: c9fcace2fbe6bb0939982c317e813a93
SHA1: edaded2f10f8fec9b0a75271628c0c81276e5306
SHA256: b96ef5d39ad08ac3a885ecb9e57628921be54ae9fab064fa863c4b860eabf1c5
SHA512: c700aede01523a16ad2bfae0ca81551aeca18078c0ff7da215cd8962a016dd18f64b79e06b3c6079544214a2f4656c0c7cea4f89f8f772ef9d1bb440a37e1857
Homepage: https://cran.r-project.org/package=OkNNE
Description: CRAN Package 'OkNNE' (A k-Nearest Neighbours Ensemble via Optimal Model Selection forRegression)
 Optimal k Nearest Neighbours Ensemble is an ensemble of base k nearest
 neighbour models each constructed on a bootstrap sample with a random subset
 of features. k closest observations are identified for a test point "x"
 (say), in each base k nearest neighbour model to fit a stepwise regression
 to predict the output value of "x". The final predicted value of "x" is the
 mean of estimates given by all the models. The implemented model takes
 training and test datasets and trains the model on training data to predict
 the test data. Ali, A., Hamraz, M., Kumam, P., Khan, D.M., Khalil, U.,
 Sulaiman, M. and Khan, Z. (2020) <DOI:10.1109/ACCESS.2020.3010099>.

Package: r-cran-okxapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-data.table, r-cran-httr, r-cran-base64enc, r-cran-jsonlite, r-cran-websocket, r-cran-digest
Filename: pool/dists/focal/main/r-cran-okxapi_0.1.1-1.ca2004.1_all.deb
Size: 232820
MD5sum: 81ba4b03fc2a5ec225b4875f760d7ae2
SHA1: 61a6cb40b8295b218ed0eec326c917b7a23b3445
SHA256: fc7c4e58487ebc3ea3d021495ad7b33a4e8f3357618dafae4af1f9ec6ed6f763
SHA512: 49ed99f55cdba5dacd9a88eaedb9a6c129175088f67b5701f15ceec0f4f27c37a60c6499d3b488c8ea48719f16e178f2964570aed849e524d930bcb99a8c6bfb
Homepage: https://cran.r-project.org/package=okxAPI
Description: CRAN Package 'okxAPI' (An Unofficial Wrapper for 'okx exchange v5' API)
 An unofficial wrapper for 'okx exchange v5' API
 <https://www.okx.com/docs-v5/en/>, including 'REST' API and 'WebSocket' API.

Package: r-cran-olcpm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-laplacesdemon, r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-olcpm_0.1.2-1.ca2004.1_all.deb
Size: 307776
MD5sum: 1c990588f2143aca9cb93ef351f479dc
SHA1: 750e7e47fc25e54a3cd46da3db7dba0cb4234497
SHA256: f5a93113509073554cdc1676688b0cb82a053c2a2a09e2253677141d32b8b83c
SHA512: cd4cf55283a185ac5ab5348ab9127c17e88df0f1bc71d99b4e3233b7d2ecaf488fb4c32dc08945ea5929d26e29a601e2df9530c21303d814154c893ccb8e76ef
Homepage: https://cran.r-project.org/package=OLCPM
Description: CRAN Package 'OLCPM' (Online Change Point Detection for Matrix-Valued Time Series)
 We provide two algorithms for monitoring change points with online
 matrix-valued time series, under the assumption of a two-way factor
 structure. The algorithms are based on different calculations of the second
 moment matrices. One is based on stacking the columns of matrix
 observations, while another is by a more delicate projected approach. A
 well-known fact is that, in the presence of a change point, a factor model
 can be rewritten as a model with a larger number of common factors. In turn,
 this entails that, in the presence of a change point, the number of spiked
 eigenvalues in the second moment matrix of the data increases. Based on
 this, we propose two families of procedures - one based on the fluctuations
 of partial sums, and one based on extreme value theory - to monitor whether
 the first non-spiked eigenvalue diverges after a point in time in the
 monitoring horizon, thereby indicating the presence of a change point. This
 package also provides some simple functions for detecting and removing
 outliers, imputing missing entries and testing moments. See more details in
 He et al. (2021)<doi:10.48550/arXiv.2112.13479>.

Package: r-cran-oldbailey
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-stringr, r-cran-tidyr, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-oldbailey_1.1.0-1.ca2004.1_all.deb
Size: 32064
MD5sum: 0211bcbabd2e0e8211a8c77b430645e7
SHA1: e64035ce847370cd5639e60e72e7b8177f7472ee
SHA256: bb3192f7e73ad8777b5b28029eceb13f4ce37e451c610b315e335f8fb5cdc753
SHA512: fb83957db35a8db90d49f09084bb8affb287a7ce4d8b424fb63554066c36740e20f7d09c839a092a5e24e92862e25dc341e9380b832e3b90eac2bbe02543ea5c
Homepage: https://cran.r-project.org/package=oldbailey
Description: CRAN Package 'oldbailey' (For Accessing the Old Bailey Open Data)
 Fetch trial data from the Old Bailey Online API
 <https://www.oldbaileyonline.org/static/DocAPI.jsp>. Data is returned in an
 analysis-ready data frame with fields for metadata including (but not
 limited to) the names of the first person speakers, defendants, victims,
 their recorded genders, verdicts, punishments, crime locations, and dates.
 Optional parameters allow users to specify the number of results, whether
 these results contain key terms, and trial dates.

Package: r-cran-oldr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbw, r-cran-car, r-cran-withr, r-cran-tibble, r-cran-rmarkdown, r-cran-cli, r-cran-tinytex
Suggests: r-cran-testthat, r-cran-covr, r-cran-diagrammer, r-cran-knitr, r-cran-kableextra, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-oldr_0.2.3-1.ca2004.1_all.deb
Size: 1670612
MD5sum: 98f01d5c651c1b31c6d0c1064dd963f2
SHA1: 1ee998d874ec0b1990a190041c3f10f8c97e0d81
SHA256: ec99c03ba8b5546303341a80c6d41d57fb525452b9af5ccda5a7268772028ea7
SHA512: 93c2b37727491ab28a66e27195a07ddd34788e002a55b9dfeb02c36916f996eb993422fca28d2f4df08d18ccc305aa660fe0cd046d7cd4165102f40338a78678
Homepage: https://cran.r-project.org/package=oldr
Description: CRAN Package 'oldr' (An Implementation of Rapid Assessment Method for Older People)
 An implementation of the Rapid Assessment Method for Older People or RAM-OP
 <https://www.helpage.org/resource/rapid-assessment-method-for-older-people-ramop-manual/>.
 It provides various functions that allow the user to design and plan the
 assessment and analyse the collected data. RAM-OP provides accurate and
 reliable estimates of the needs of older people.

Package: r-cran-olinkanalyze
Architecture: all
Version: 4.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4463
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-car, r-cran-cli, r-cran-dplyr, r-cran-data.table, r-cran-emmeans, r-cran-forcats, r-cran-generics, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-magrittr, r-cran-readxl, r-cran-rlang, r-cran-rstatix, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-arrow, r-bioc-clusterprofiler, r-cran-extrafont, r-cran-fsa, r-cran-ggplotify, r-cran-kableextra, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-markdown, r-cran-msigdbr, r-cran-openssl, r-cran-ordinal, r-cran-pheatmap, r-cran-rmarkdown, r-cran-scales, r-cran-systemfonts, r-cran-testthat, r-cran-umap, r-cran-vdiffr, r-cran-withr, r-cran-zip
Filename: pool/dists/focal/main/r-cran-olinkanalyze_4.3.0-1.ca2004.1_all.deb
Size: 3364836
MD5sum: e43b0c7f756f8d22de1e59f634acf315
SHA1: 6f6d31ccfc9d0bc57c9955e3d7aa170feb113027
SHA256: 7822d83c6718526099a1f1884c76160de7e603a0c23ad45bcc494ae1671671c2
SHA512: db7eb400938c68d3ecbcbffb23066c861a41129bd5b464df66f51cb2eb0cb3f32d742162cbd7fe7e155981a403bc53cd41149f4ca2b37b316bd9d7a62bbe4e81
Homepage: https://cran.r-project.org/package=OlinkAnalyze
Description: CRAN Package 'OlinkAnalyze' (Facilitate Analysis of Proteomic Data from Olink)
 A collection of functions to facilitate analysis of proteomic data from
 Olink, primarily NPX data that has been exported from Olink Software. The
 functions also work on QUANT data from Olink by log- transforming the QUANT
 data. The functions are focused on reading data, facilitating data wrangling
 and quality control analysis, performing statistical analysis and generating
 figures to visualize the results of the statistical analysis. The goal of
 this package is to help users extract biological insights from proteomic
 data run on the Olink platform.

Package: r-cran-ollamar
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 734
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-crayon, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ollamar_1.2.2-1.ca2004.1_all.deb
Size: 614944
MD5sum: f7f43d8e8b5ea842e2db0aef66e71d30
SHA1: bf7222e1cf7ee5b57b29f6d4ce5a7b0306f5a17d
SHA256: eab4f218ff070107261c412c6fa3dc143d1be815bcfc5d4b43b6bdcb88459676
SHA512: 2807920330c4e31dafde6827a2403baa3f400135da9885ecca42c00dec09ee61bff3fd46a5bb482badc7284801e661eb90a685d11d6252fc799c5fe2d556062c
Homepage: https://cran.r-project.org/package=ollamar
Description: CRAN Package 'ollamar' ('Ollama' Language Models)
 An interface to easily run local language models with 'Ollama'
 <https://ollama.com> server and API endpoints (see
 <https://github.com/ollama/ollama/blob/main/docs/api.md> for details). It
 lets you run open-source large language models locally on your machine.

Package: r-cran-ollg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ollg_1.0.0-1.ca2004.1_all.deb
Size: 101116
MD5sum: 4347e2baee2b6dac3d72a2631822fa27
SHA1: d8d1f540e20dc9dc47ef70cdb947e0a04432b92a
SHA256: e1acb839f665ab41e87048ff63177fd2256359ca4e566b24257410d235a00c0a
SHA512: 1c5abd863fb079c915b9ac75a7b8a2998ea4d9e28cc9731e416b9b4e1a7373e56cbd25e506713e4d3dd08df24bda3e8d84a4c684e2d975524f2792efe3f1fcfa
Homepage: https://cran.r-project.org/package=ollg
Description: CRAN Package 'ollg' (Computes some Measures of OLL-G Family of Distributions)
 Computes the pdf, cdf, quantile function, hazard function and generating
 random numbers for Odd log-logistic family (OLL-G). This family have been
 developed by different authors in the recent years. See Alizadeh (2019)
 <doi:10.31801/cfsuasmas.542988> for example.

Package: r-cran-ollggamma
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggamma
Filename: pool/dists/focal/main/r-cran-ollggamma_1.0.2-1.ca2004.1_all.deb
Size: 17736
MD5sum: fad4c03728c7d6100f29cf17701bb8de
SHA1: 3288e2356d22d882690d353fecf499f6d8be4971
SHA256: 248a1a43ca3a056a0eb9f6e951e96cee880aaeefaa0a1543e08ae2b0aac87ff0
SHA512: 00a34f5feaedda58a9e90e773c2c08819c0ab06208c31df79fb0c0a20406bec7c6a8aac49a4f836bc96a4ac37ed7cf9e318b2a1d876bd2bc85ce4f29ff960a58
Homepage: https://cran.r-project.org/package=ollggamma
Description: CRAN Package 'ollggamma' (Odd Log-Logistic Generalized Gamma Probability Distribution)
 Density, distribution function, quantile function and random generation for
 the Odd Log-Logistic Generalized Gamma proposed in Prataviera, F. et al
 (2017) <doi:10.1080/00949655.2016.1238088>.

Package: r-cran-olr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plyr, r-cran-readxl, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-olr_1.2-1.ca2004.1_all.deb
Size: 65456
MD5sum: 01598e6d3f8ffa406164550323a54916
SHA1: ffc0abf3126a38b56e6fecb5f224cb76ea09d55f
SHA256: 2afaf17ba35db598347caa4bd761600202987fc951b27b8fc7c6ff1c84cc3516
SHA512: 484e085b023fb976ae06dcc28bb4bcdc5520854fad6e446bf9977d03f012e74a6b25e241d0dabfcc259bcba2318121fc2e7c246d7abd0a281a3fd50f4f485c6a
Homepage: https://cran.r-project.org/package=olr
Description: CRAN Package 'olr' (Optimal Linear Regression)
 The olr function systematically evaluates multiple linear regression models
 by exhaustively fitting all possible combinations of independent variables
 against the specified dependent variable. It selects the model that yields
 the highest adjusted R-squared (by default) or R-squared, depending on user
 preference. In model evaluation, both R-squared and adjusted R-squared are
 key metrics: R-squared measures the proportion of variance explained but
 tends to increase with the addition of predictors—regardless of
 relevance—potentially leading to overfitting. Adjusted R-squared compensates
 for this by penalizing model complexity, providing a more balanced view of
 fit quality. The goal of olr is to identify the most suitable model that
 captures the underlying structure of the data while avoiding unnecessary
 complexity. By comparing both metrics, it offers a robust evaluation
 framework that balances predictive power with model parsimony. Example
 Analogy: Imagine a gardener trying to understand what influences plant
 growth (the dependent variable). They might consider variables like
 sunlight, watering frequency, soil type, and nutrients (independent
 variables). Instead of manually guessing which combination works best, the
 olr function automatically tests every possible combination of predictors
 and identifies the most effective model—based on either the highest
 R-squared or adjusted R-squared value. This saves the user from
 trial-and-error modeling and highlights only the most meaningful variables
 for explaining the outcome. A Python version is also available at
 <https://pypi.org/project/olr>.

Package: r-cran-olscurve
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-testthat, r-cran-knitr, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-olscurve_0.2.0-1.ca2004.1_all.deb
Size: 165820
MD5sum: 073f9e49fb16dbea9ccb09f7cc0b4e66
SHA1: 5b787c9e607ae4fc654743dfb4e3105aeb0afc15
SHA256: f6784f05e7622e9d0006bd58fb43ae2d90d2352eb4e1c3b1aff744c6f9be2d44
SHA512: e2cb38263c5121aa2e04da2778a53a2d8932c4ae52c02ffbd32e14b4f7912942a58c258c7908bf873db4e3df52494797d83dd1440c61f291aa61848c075669c6
Homepage: https://cran.r-project.org/package=OLScurve
Description: CRAN Package 'OLScurve' (OLS growth curve trajectories)
 Provides tools for more easily organizing and plotting individual ordinary
 least square (OLS) growth curve trajectories.

Package: r-cran-olsrr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2488
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-goftest, r-cran-gridextra, r-cran-nortest, r-cran-xplorerr
Suggests: r-cran-covr, r-cran-descriptr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-olsrr_0.6.1-1.ca2004.1_all.deb
Size: 1965204
MD5sum: 7cc72b8d3c26783292915aac5099c843
SHA1: 2adb3cfb0d27584166be9847f7202690deb7ac7f
SHA256: 9ff1fc75ada43f466ba7e5648b49351bf91b48b0d64c5911c883ae90fad1ea27
SHA512: 47ed592b73575fffed59474b8cec8fa7bfe72a47ab269db37624ed98c0ef4b642097c541ded05c12f5f0b3963ce3b04901a45b7c6e28c841be193cd74df2b9bc
Homepage: https://cran.r-project.org/package=olsrr
Description: CRAN Package 'olsrr' (Tools for Building OLS Regression Models)
 Tools designed to make it easier for users, particularly
 beginner/intermediate R users to build ordinary least squares regression
 models. Includes comprehensive regression output, heteroskedasticity tests,
 collinearity diagnostics, residual diagnostics, measures of influence, model
 fit assessment and variable selection procedures.

Package: r-cran-olstrajr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-broom, r-cran-ggplot2, r-cran-purrr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-olstrajr_0.1.0-1.ca2004.1_all.deb
Size: 206136
MD5sum: 3e8e402be28623e25a0532653bf78fb4
SHA1: 0061290c11fb60b006eaee09ca61f24b12f8976a
SHA256: b586604ce79e670c67310ac1a70ec263a21eaaf3744f30e64931100fbb0cd86b
SHA512: 5b1d604aa641f782228cd49ac8835f03d8264978479e42dcb53fd617251dfef1a9036584957f456ee686b6db1208abe23ba8ba618bfa25f3305ee49f6882c701
Homepage: https://cran.r-project.org/package=OLStrajr
Description: CRAN Package 'OLStrajr' (Ordinary Least Squares Trajectory Analysis)
 The 'OLStrajr' package provides comprehensive functions for ordinary least
 squares (OLS) trajectory analysis and case-by-case OLS regression as
 outlined in Carrig, Wirth, and Curran (2004)
 <doi:10.1207/S15328007SEM1101_9> and Rogosa and Saner (1995)
 <doi:10.3102/10769986020002149>. It encompasses two primary functions,
 OLStraj() and cbc_lm(). The OLStraj() function simplifies the estimation of
 individual growth curves over time via OLS regression, with options for
 visualizing both group-level and individual-level growth trajectories and
 support for linear and quadratic models. The cbc_lm() function facilitates
 case-by-case OLS estimates and provides unbiased mean population intercept
 and slope estimators by averaging OLS intercepts and slopes across cases. It
 further offers standard error calculations across bootstrap replicates and
 computation of 95% confidence intervals based on empirical distributions
 from the resampling processes.

Package: r-cran-olympicrshiny
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-golem, r-cran-shiny, r-cran-shinybusy, r-cran-shinythemes, r-cran-summarytools
Filename: pool/dists/focal/main/r-cran-olympicrshiny_1.0.2-1.ca2004.1_all.deb
Size: 5065872
MD5sum: 7b5894d362a5fc1a6bafd01a51a59ed1
SHA1: 7ef915a5810f8673ec14f2ca99fa607d56119319
SHA256: f2790df0b9f5904fc45ba1d861e8d29c4b52e1af8c60aee1db1f146389a76a6c
SHA512: 7f9e6c87e88b0c185b22421d4754ec93d4d1f6a8b8c11bc07d620a4b111b8735a2d7a188c71721459f6595ade162477db17d4ec994ceaacc8460179fd82e447a
Homepage: https://cran.r-project.org/package=OlympicRshiny
Description: CRAN Package 'OlympicRshiny' ('Shiny' Application for Olympic Data)
 'Shiny' Application to visualize Olympic Data. From 1896 to 2016. Even
 Winter Olympics events are included. Data is from Kaggle at
 <https://www.kaggle.com/heesoo37/120-years-of-olympic-history-athletes-and-results>.

Package: r-cran-omd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-omd_1.0-1.ca2004.1_all.deb
Size: 12960
MD5sum: 093e86254c548a0a8b210e34398635f6
SHA1: 5ea40670efd9fc8b3b78f9644aa741b8d3ede235
SHA256: 1148f16b17896715d63b612a23c6b7ef0ed2f91766418b10d9594226e516527d
SHA512: 4e79424db334078038a44361e48b922842d12aaf37246a4b771f8607551fd8c23c43f0400b871f5021c5e4d3e3b62d0d683e84416bd1618d07faba7008dace7c
Homepage: https://cran.r-project.org/package=omd
Description: CRAN Package 'omd' (filter the molecular descriptors for QSAR)
 This package including two useful function, which can be used for filter the
 molecular descriptors matrix for QSAR.

Package: r-cran-omegag
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-omegag_1.0.1-1.ca2004.1_all.deb
Size: 38232
MD5sum: 32867853cd141fe8374187d7226df648
SHA1: 8a530a63085bca1bef9f4ea6bd523a6bccedff8c
SHA256: defca21d115a246c1f53849627aa8d2e929eb4263116f701989289cbc2ac97f8
SHA512: e73cd3a9f59384860e9e2d1170429696d44aa46d9ef0440a152ceb77f17b47583601c431b2f8380d72f44cab7e63790ced2eda3970fcf8228bb1a31394e345cd
Homepage: https://cran.r-project.org/package=OmegaG
Description: CRAN Package 'OmegaG' (Omega-Generic: Composite Reliability of MultidimensionalMeasures)
 It is a computer tool to estimate the item-sum score's reliability
 (composite reliability, CR) in multidimensional scales with overlapping
 items. An item that measures more than one domain construct is called an
 overlapping item.  The estimation is based on factor models allowing
 unlimited cross-factor loadings such as exploratory structural equation
 modeling (ESEM) and Bayesian structural equation modeling (BSEM). The factor
 models include correlated-factor models and bi-factor models. Specifically
 for bi-factor models, a type of hierarchical factor model, the package
 estimates the CR hierarchical subscale/hierarchy and CR subscale/scale
 total. The CR estimator 'Omega-generic' was proposed by Mai, Srivastava, and
 Krull (2021)
 <https://whova.com/embedded/subsession/enars_202103/1450751/1452993/>. The
 current version can only handle continuous data.  Yujiao Mai contributes to
 the algorithms, R programming, and application example. Deo Kumar Srivastava
 contributes to the algorithms and the application example. Kevin R. Krull
 contributes to the application example. The package 'OmegaG' was sponsored
 by American Lebanese Syrian Associated Charities (ALSAC). However, the
 contents of 'OmegaG' do not necessarily represent the policy of the ALSAC.

Package: r-cran-omicint
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-stringr, r-cran-rcurl, r-cran-ggplot2, r-cran-mclust, r-cran-gtools, r-cran-tidyr, r-cran-dplyr, r-cran-tidyselect, r-cran-pheatmap, r-cran-reshape2, r-cran-plotly, r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-rcolorbrewer, r-cran-igraph, r-cran-ggextra, r-cran-dendextend, r-bioc-stringdb
Suggests: r-cran-viridis
Filename: pool/dists/focal/main/r-cran-omicint_1.1.7-1.ca2004.1_all.deb
Size: 1055568
MD5sum: a75b5b2a368a6fa7b7dca2df42ae03f9
SHA1: ebd60222b803ee3c99148e1dda26adef712a942a
SHA256: e77da032d82c02fe3111d3e7f82296e8062fb77bbc615272ca6764e413f5aa4a
SHA512: c8a62f08d64c44a7da03056668dd045ba38e1fd7fc3b0b2f2846a595d14813b4def68bb3adb99eecd24199e9ac60205079807847da4a49a81cabd80cc995ab72
Homepage: https://cran.r-project.org/package=OmicInt
Description: CRAN Package 'OmicInt' (Omics Network Exploration)
 Omics integration and detailed gene network exploration to identify
 expression patterns, prepare for pathway building, and find disease
 candidate genes; the package compliments research "Insights into therapeutic
 targets and biomarkers using integrated multi-'omics' approaches for dilated
 and ischemic cardiomyopathies"; Auste Kanapeckaite and Neringa Burokiene;
 2021, <doi:10.1093/intbio/zyab007>.

Package: r-cran-omickriging
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-rocr, r-cran-irlba, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-omickriging_1.4.0-1.ca2004.1_all.deb
Size: 1741004
MD5sum: 27d67d6310c3fd73e957ce593e595ac2
SHA1: 33f075632bde2eb756f57305f6d3c4f93ba8908a
SHA256: 1f45abd881e82df7fe4b3021deacc919376143da6a1d3ce8cc480c6f18688200
SHA512: f05c6d2d07245c7da39a913770d3411bfa141db6b977e9aa62a72b9ed14d41fdcd368553ac6e4c7f300b55bad5d08f324d23f8151762d9438229098c19375608
Homepage: https://cran.r-project.org/package=OmicKriging
Description: CRAN Package 'OmicKriging' (Poly-Omic Prediction of Complex TRaits)
 It provides functions to generate a correlation matrix from a genetic
 dataset and to use this matrix to predict the phenotype of an individual by
 using the phenotypes of the remaining individuals through kriging. Kriging
 is a geostatistical method for optimal prediction or best unbiased linear
 prediction. It consists of predicting the value of a variable at an
 unobserved location as a weighted sum of the variable at observed locations.
 Intuitively, it works as a reverse linear regression: instead of computing
 correlation (univariate regression coefficients are simply scaled
 correlation) between a dependent variable Y and independent variables X, it
 uses known correlation between X and Y to predict Y.

Package: r-cran-omicnavigator
Architecture: all
Version: 1.15.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1252
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite
Suggests: r-cran-faviconplease, r-cran-ggplot2, r-cran-opencpu, r-cran-plotly, r-cran-tinytest, r-cran-ttdo, r-cran-upsetr
Filename: pool/dists/focal/main/r-cran-omicnavigator_1.15.0-1.ca2004.1_all.deb
Size: 802360
MD5sum: c93d19ecb7a76a1c8f3db7ae0c76c9e8
SHA1: 352e0c4fc5fdc05a967498d343e34c84798269ab
SHA256: c9ff2cb8198b7bbc60ffb721dd54238acd364095208c8269d394f52299f5fab7
SHA512: 8c124620888d3416f915bc40a8750f5e60dc6a3f2333d920e8c50c7650fa068c3020e0e53936ac11fb63bdc255c76a2ee8d61234b2918d096d067653f5f17644
Homepage: https://cran.r-project.org/package=OmicNavigator
Description: CRAN Package 'OmicNavigator' (Open-Source Software for 'Omic' Data Analysis and Visualization)
 A tool for interactive exploration of the results from 'omics' experiments
 to facilitate novel discoveries from high-throughput biology. The software
 includes R functions for the 'bioinformatician' to deposit study metadata
 and the outputs from statistical analyses (e.g. differential expression,
 enrichment). These results are then exported to an interactive JavaScript
 dashboard that can be interrogated on the user's local machine or deployed
 online to be explored by collaborators. The dashboard includes 'sortable'
 tables, interactive plots including network visualization, and fine-grained
 filtering based on statistical significance.

Package: r-cran-omics
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-pheatmap
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omics_0.1-5-1.ca2004.1_all.deb
Size: 54844
MD5sum: 6e0407519a78a079bafe74ee5115c4bf
SHA1: e6073af40b943abb7394505a8883bd2497e36b65
SHA256: 17fd45e032f3a763b59704696624062004ed12ec10fffc1e0241970895da4f8a
SHA512: 6606a0f893f75febddda076ef0f3826f53be5ef5eb538b20415bf7c5d7119284164173ade1f18861dea96d7d36fb7901ce504e86efb1f3d8ab18f95b71ed3a55
Homepage: https://cran.r-project.org/package=omics
Description: CRAN Package 'omics' ('--omics' Data Analysis Toolbox)
 A collection of functions to analyse '--omics' datasets such as DNA
 methylation and gene expression profiles.

Package: r-cran-omicsense
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-kernlab
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omicsense_0.2.0-1.ca2004.1_all.deb
Size: 129500
MD5sum: ec0fdcc4fde54147124dff60b3bd6e4e
SHA1: c5571b62a5fed6ca8e0602df1b623522a5e196cb
SHA256: f0f524f9466a9f6507f582b6bd7ebea1b5f9afc0a462830bb4416f9f3e7cb145
SHA512: 61117004e786d7502b19b3ead2a1978d5372108739754c22bcae4ca1f76ea1aac30ffe69a7a3a8b18a55836684df7c844673fbc992df710a0e0dece0dc405040
Homepage: https://cran.r-project.org/package=OmicSense
Description: CRAN Package 'OmicSense' (Biosensor Development using Omics Data)
 A method for the quantitative prediction using omics data.  This package
 provides functions to construct the quantitative prediction model using
 omics data.

Package: r-cran-omicspls
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-softimpute, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-omicspls_2.1.0-1.ca2004.1_all.deb
Size: 356160
MD5sum: a0c7c29734f5d07df8808cf143d25555
SHA1: 33aa6bcc772050c0f474c1842aea28b44722746b
SHA256: f744741a5851f0a9ad350b0559eb1af4419cba4407a355f0b4c7a29c952abd66
SHA512: 7e7c9c7e24ef455de0d80814b0eab706f81ca8fb5a5e8c365dbe3bacdfe42e79b9949ef95173931f461daded11fbac29c763256f085ee4482ddf1fcc051f405b
Homepage: https://cran.r-project.org/package=OmicsPLS
Description: CRAN Package 'OmicsPLS' (Data Integration with Two-Way Orthogonal Partial Least Squares)
 Performs the O2PLS data integration method for two datasets, yielding joint
 and data-specific parts for each dataset.  The algorithm automatically
 switches to a memory-efficient approach to fit O2PLS to high dimensional
 data.  It provides a rigorous and a faster alternative cross-validation
 method to select the number of components, as well as functions to report
 proportions of explained variation and to construct plots of the results.
 See the software article by el Bouhaddani et al (2018)
 <doi:10.1186/s12859-018-2371-3>, and Trygg and Wold (2003)
 <doi:10.1002/cem.775>.  It also performs Sparse Group (Penalized) O2PLS, see
 Gu et al (2020) <doi:10.1186/s12859-021-03958-3> and cross-validation for
 the degree of sparsity.

Package: r-cran-omicsqc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1915
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fitdistrplus, r-cran-lsa, r-cran-boutroslab.plotting.general
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omicsqc_1.1.0-1.ca2004.1_all.deb
Size: 1011512
MD5sum: 4fc4177e8f557ef1c40982fdbff87588
SHA1: b8500cb8ae2d9ccb0fd5ad08e766240f6dac1002
SHA256: 3d56a68aa022abd8986871a03094380936759700f09b1049d6841587d3f7af3e
SHA512: fc00c663ebe9d84b0ebd1e6a0cc49ec86add3b68c5f3003af8370306b1348b21161106991d3b3a440fa61c69a7f7de457ee6f2dba092ed1e6eab81bfa56ca2bd
Homepage: https://cran.r-project.org/package=OmicsQC
Description: CRAN Package 'OmicsQC' (Nominating Quality Control Outliers in Genomic Profiling Studies)
 A method that analyzes quality control metrics from multi-sample genomic
 sequencing studies and nominates poor quality samples for exclusion. Per
 sample quality control data are transformed into z-scores and aggregated.
 The distribution of aggregated z-scores are modelled using parametric
 distributions. The parameters of the optimal model, selected either by
 goodness-of-fit statistics or user-designation, are used for outlier
 nomination. Two implementations of the Cosine Similarity Outlier Detection
 algorithm are provided with flexible parameters for dataset customization.

Package: r-cran-omicstools
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bs4dash, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-golem, r-cran-magrittr, r-cran-readr, r-cran-shiny, r-cran-tibble
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omicstools_1.0.5-1.ca2004.1_all.deb
Size: 179948
MD5sum: 95d88841880215591b79c2dcaf075491
SHA1: 08bfb0230f187b4f6a65591c49d622372f65a84f
SHA256: 9c1ec9e576940f6d4c4ed9c575d9eb1dbc49688dc78750965e701f6add8f0c16
SHA512: bda0aea0e628a472d1c1f726392fac7b8ff5d7e310cdd71668981cc8b84e68c6e99edd94ee481ffb682b870c7acf3c14b3466f226bd2f43eee434aa4e8620333
Homepage: https://cran.r-project.org/package=omicsTools
Description: CRAN Package 'omicsTools' (Omics Data Process Toolbox)
 Processing and analyzing omics data from genomics, transcriptomics,
 proteomics, and metabolomics platforms. It provides functions for
 preprocessing, normalization, visualization, and statistical analysis, as
 well as machine learning algorithms for predictive modeling. 'omicsTools' is
 an essential tool for researchers working with high-throughput omics data in
 fields such as biology, bioinformatics, and medicine.The QC-RLSC (quality
 control–based robust LOESS signal correction) algorithm is used for
 normalization. Dunn et al. (2011) <doi:10.1038/nprot.2011.335>.

Package: r-cran-omicwas
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-data.table, r-cran-dplyr, r-cran-ff, r-cran-glmnet, r-cran-magrittr, r-cran-mass, r-cran-matrixstats, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-omicwas_0.8.0-1.ca2004.1_all.deb
Size: 4153148
MD5sum: 1ad194ff1bfd3a03a6b6d740f86b3f98
SHA1: b4745c4cd075475544ccf333e099253f1a862bcb
SHA256: 8e2b0197e4ee9038e2bc9175bf36effe4be9f77891b8f3bdaea41b25af28b3ed
SHA512: cdb01b0720a368663ebdc8e5833f99a6e3f3b77758c492e7d7dff3b3139304e5160bb4e8279635c8545957cf96f801906781d1fe5ded18adbde45c0bbdb6452f
Homepage: https://cran.r-project.org/package=omicwas
Description: CRAN Package 'omicwas' (Cell-Type-Specific Association Testing in Bulk Omics Experiments)
 In bulk epigenome/transcriptome experiments, molecular expression is
 measured in a tissue, which is a mixture of multiple types of cells.  This
 package tests association of a disease/phenotype with a molecular marker for
 each cell type.  The proportion of cell types in each sample needs to be
 given as input.  The package is applicable to epigenome-wide association
 study (EWAS) and differential gene expression analysis.  Takeuchi and Kato
 (submitted) "omicwas: cell-type-specific epigenome-wide and transcriptome
 association study".

Package: r-cran-omisc
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-psych, r-cran-copula
Suggests: r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-omisc_0.1.5-1.ca2004.1_all.deb
Size: 111256
MD5sum: a15c80948b1543d76ea5869a0f422ac8
SHA1: e05091f26f5c8599426b0655d956b895f55e59f5
SHA256: 2ce3d740511808fb847fdd0bad9ccb432cce0f0b0e325fffc9d81186df86bd97
SHA512: ab2e2dd485798c1ec32da68a07956a61de8bfc8916bdefa403b379bb64fdcc859c763c2ade963446359d7f1ea2b4f8c5948ea76c93c4ed8e21704594ee5ec256
Homepage: https://cran.r-project.org/package=Omisc
Description: CRAN Package 'Omisc' (Univariate Bootstrapping and Other Things)
 Primarily devoted to implementing the Univariate Bootstrap (as well as the
 Traditional Bootstrap). In addition there are multiple functions for
 DeFries-Fulker behavioral genetics models. The univariate bootstrapping
 functions, DeFries-Fulker functions, regression and traditional
 bootstrapping functions form the original core. Additional features may come
 online later, however this software is a work in progress. For more
 information about univariate bootstrapping see: Lee and Rodgers (1998) and
 Beasley et al (2007) <doi:10.1037/1082-989X.12.4.414>.

Package: r-cran-omnibus
Architecture: all
Version: 1.2.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-omnibus_1.2.15-1.ca2004.1_all.deb
Size: 271520
MD5sum: 345d97aefef71c6efe0077a46ac9041d
SHA1: a1ffd87614d028c117c3c6809a137a25b1678386
SHA256: 1dcfcb7a3590c44ae6110f5634c68fba6797b0cad96905e3d90e4cb5c12e9b84
SHA512: f135de9d3cabab6581a3e6b2b61b5318ae8fc94e74e35b4c271b29091b099bfbdc7dcbfb705ce199b8e06f636572993e9255142376a2f5167c11748b4d38e943
Homepage: https://cran.r-project.org/package=omnibus
Description: CRAN Package 'omnibus' (Helper Tools for Managing Data, Dates, Missing Values, and Text)
 An assortment of helper functions for managing data (e.g., rotating values
 in matrices by a user-defined angle, switching from row- to
 column-indexing), dates (e.g., intuiting year from messy date strings),
 handling missing values (e.g., removing elements/rows across multiple
 vectors or matrices if any have an NA), text (e.g., flushing reports to the
 console in real-time); and combining data frames with different schema
 (copying, filling, or concatenating columns or applying functions before
 combining).

Package: r-cran-omnibusfisher
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-stringr, r-cran-survey
Filename: pool/dists/focal/main/r-cran-omnibusfisher_1.0-1.ca2004.1_all.deb
Size: 93572
MD5sum: 20b61ad678ffb614264295ab766e5a4c
SHA1: a5bfc30b9de49ca16827de8709a939dc69b92472
SHA256: 58a808aaf46d482a82bfbf88f97d935df060b408ea0ff75979171a16c29337fd
SHA512: 7b21938592ce9bc16a7f2f8c198b13ad42d054d4f8f68ba1665f8f07136afbfc3fae284e423434f3eb2c01764da2d034ef87bf71376f08864cf0448af38b7b34
Homepage: https://cran.r-project.org/package=OmnibusFisher
Description: CRAN Package 'OmnibusFisher' (A Modified Fisher’s Method to Test Overall Gene-Level Effect)
 The separate p-values of SNPs, RNA expressions and DNA methylations are
 calculated by KM regression. The correlation between different omics data
 are taken into account. This method can be applied to either samples with
 all three types of omics data or samples with two types.

Package: r-cran-omock
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1093
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-cli, r-cran-dplyr, r-cran-lubridate, r-cran-omopgenerics, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-snakecase
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omock_0.4.0-1.ca2004.1_all.deb
Size: 948892
MD5sum: 8200415ebfecd4244869bf03c2905e87
SHA1: 4a7725380ccf49d0c19930f3e18412beaf6104eb
SHA256: 3d738b3d17a1e47b1fad2c1cec5866cefc2f1495a3396584dfababf9010de40e
SHA512: 5976464fcd106bdf1f4b025896cdead8f201c6bd71ae36f4dc2d7aa5cb02e723e86813d95b2a8b8173c0771041be9b96116d0d8b00db9b6bbe200a4ba731f919
Homepage: https://cran.r-project.org/package=omock
Description: CRAN Package 'omock' (Creation of Mock Observational Medical Outcomes PartnershipCommon Data Model)
 Creates mock data for testing and package development for the Observational
 Medical Outcomes Partnership common data model. The package offers functions
 crafted with pipeline-friendly implementation, enabling users to
 effortlessly include only the necessary tables for their testing needs.

Package: r-cran-omopgenerics
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1154
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dbplyr, r-cran-dplyr, r-cran-generics, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-snakecase, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-bit64, r-cran-covr, r-cran-gt, r-cran-here, r-cran-jsonlite, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-tictoc, r-cran-withr
Filename: pool/dists/focal/main/r-cran-omopgenerics_1.2.0-1.ca2004.1_all.deb
Size: 647612
MD5sum: 6293259cdcc37b14bbfbf21c98277f66
SHA1: 72fcbe087a6c3bb0178ae851378800990978ceb0
SHA256: 2164c2bdf25f38a7c1c1d624afbf9585d93020f2afd45835275aa88b971c58d9
SHA512: 23239b8651e4ec14777d6d7eb67850fef6b363a47db905308b7a14dc9a8770df54f94bde51bfa6948c875394651afa6c791b09ef11cdf9c3cd584566e0e99c91
Homepage: https://cran.r-project.org/package=omopgenerics
Description: CRAN Package 'omopgenerics' (Methods and Classes for the OMOP Common Data Model)
 Provides definitions of core classes and methods used by analytic pipelines
 that query the OMOP (Observational Medical Outcomes Partnership) common data
 model.

Package: r-cran-omopr
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbplyr, r-cran-dplyr, r-cran-dbi, r-cran-rsqlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-omopr_0.2-1.ca2004.1_all.deb
Size: 25684
MD5sum: 17ada89c1e8324a81a1bff42fe3e6998
SHA1: 9c7d1eb7ab67231c8122386c491f513ca029f958
SHA256: a8894ca0df367c21d56a82256c4904b2c2ebbc1be60027dbfa934e8442dcc895
SHA512: e4ca0a66e37d02d733242d37b6d54bc56e015186b14c3ac547ad5f444f28039ebcf822373ccddc0d5a17ccac7822157437a45a6f15f2eb0dc3fcd10405dc291c
Homepage: https://cran.r-project.org/package=omopr
Description: CRAN Package 'omopr' (OMOP CDM Databases using the Tidyverse)
 Utility functions for querying electronic health record (EHR) data in 'OMOP'
 Common Data Model
 <https://www.ohdsi.org/data-standardization/the-common-data-model/>
 databases using a 'tidyverse' approach based on 'dbplyr' lazy queries.  This
 allows efficient in-database querying and data wrangling without explicit
 writing of 'SQL' queries.

Package: r-cran-omopsketch
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 18408
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-cli, r-cran-clock, r-cran-cohortconstructor, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-omopgenerics, r-cran-patientprofiles, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-codelistgenerator, r-cran-cohortcharacteristics, r-cran-dbi, r-cran-duckdb, r-cran-dt, r-cran-flextable, r-cran-gt, r-cran-here, r-cran-knitr, r-cran-lubridate, r-cran-odbc, r-cran-omopviewer, r-cran-sortable, r-cran-reactable, r-cran-remotes, r-cran-rmarkdown, r-cran-rpostgres, r-cran-shinywidgets, r-cran-testthat, r-cran-withr, r-cran-omock, r-cran-covr, r-cran-ggplot2, r-cran-visomopresults, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-omopsketch_0.5.1-1.ca2004.1_all.deb
Size: 2416532
MD5sum: 79d56ebbf4503797fc26c82f85841ebe
SHA1: c4f87d77e8a225823e5b1bdc899bba3ff5b26758
SHA256: 38413be208c44ceaa8b6af029deb09c5948e50e3026385b74b0e880e089a38bb
SHA512: 966839fa2fea28a51e1fdaafd415ede9c77fd14ffa65bd282b6980019a5db296f2b1665fce2cf8c0922378eee09ef638f7d12d283eb52c9423d6f746d8e2fb70
Homepage: https://cran.r-project.org/package=OmopSketch
Description: CRAN Package 'OmopSketch' (Characterise Tables of an OMOP Common Data Model Instance)
 Summarises key information in data mapped to the Observational Medical
 Outcomes Partnership (OMOP) common data model. Assess suitability to perform
 specific epidemiological studies and explore the different domains to obtain
 feasibility counts and trends.

Package: r-cran-omopviewer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 752
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-cli, r-cran-dplyr, r-cran-dt, r-cran-glue, r-cran-gt, r-cran-markdown, r-cran-omopgenerics, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-snakecase, r-cran-stringr, r-cran-styler, r-cran-tidyr, r-cran-usethis, r-cran-visomopresults, r-cran-yaml
Suggests: r-cran-cdmconnector, r-cran-codelistgenerator, r-cran-cohortcharacteristics, r-cran-cohortconstructor, r-cran-cpp11, r-cran-devtools, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-drugutilisation, r-cran-duckdb, r-cran-ggplot2, r-cran-here, r-cran-htmlwidgets, r-cran-incidenceprevalence, r-cran-knitr, r-cran-omock, r-cran-omopsketch, r-cran-patientprofiles, r-cran-plotly, r-cran-progress, r-cran-reactable, r-cran-renv, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsconnect, r-cran-rsvg, r-cran-shinycssloaders, r-cran-shinytree, r-cran-shinywidgets, r-cran-sortable, r-cran-testthat, r-cran-webshot2, r-cran-zip
Filename: pool/dists/focal/main/r-cran-omopviewer_0.3.0-1.ca2004.1_all.deb
Size: 543128
MD5sum: adf8aa4fc21db9a26a5ea9275e189fbf
SHA1: 155dd4bab505f3d32f9457580706eb009588da9e
SHA256: 31dee0d4a36c009957f58471312db53a4b93e79aa33fcec7d11f7665fdcd7e3f
SHA512: 422acd4af7556a01eaf562f657bc35bbc2cca01bd1ca09310c8f91ef90c40da06279096bb85265109f16a6116446920627d07f3b4e2a8aeb09dad7c770c71707
Homepage: https://cran.r-project.org/package=OmopViewer
Description: CRAN Package 'OmopViewer' (Visualise OMOP Results using 'shiny' Applications)
 Visualise results obtained from analysing data mapped to the Observational
 Medical Outcomes Partnership (OMOP) common data model using 'shiny'
 applications.

Package: r-cran-ompr.roi
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-roi, r-cran-slam, r-cran-matrix, r-cran-ompr
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-roi.plugin.glpk
Filename: pool/dists/focal/main/r-cran-ompr.roi_1.0.2-1.ca2004.1_all.deb
Size: 21272
MD5sum: 50c2c26c683c653e444158a49d82db44
SHA1: cb6fbf0f30b6816626a841d0b2a2b20c5cce4090
SHA256: 14afc2070cc64efaf860d043102b8f4d692e57d0a5d896d7f32d209dda8a65d2
SHA512: 7a0adc6e9fbf4cc51f7c84fd2f00bf46b6ef1ffc865c0876d13dbbb859ad3a562dae281a5c9928fc5222ad849aafa52758eaf3899f73711bb3403d639495bf31
Homepage: https://cran.r-project.org/package=ompr.roi
Description: CRAN Package 'ompr.roi' (A Solver for 'ompr' that Uses the R Optimization Infrastructure('ROI'))
 A solver for 'ompr' based on the R Optimization Infrastructure ('ROI').  The
 package makes all solvers in 'ROI' available to solve 'ompr' models. Please
 see the 'ompr' website <https://dirkschumacher.github.io/ompr/> and package
 docs for more information and examples on how to use it.

Package: r-cran-ompr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lazyeval, r-cran-rlang, r-cran-listcomp, r-cran-data.table, r-cran-matrix, r-cran-fastmap
Suggests: r-cran-covr, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ompr_1.0.4-1.ca2004.1_all.deb
Size: 197732
MD5sum: b927ebb4b3b9d23ccebe57b5ce9653c2
SHA1: c9041b46b1b4223680328e56e227715cf76fee55
SHA256: 9412d8c2126180e499395fb40c9e04e0838456e4cb429a505c805615cd4bf339
SHA512: 81458e689e12e654bede75934bc6ff6d24316f9d169461433733cffa64dce31ce2c9662cb192b87622afef747e7276d51cfd91b62c415b7440dc1f7dcc56ff0a
Homepage: https://cran.r-project.org/package=ompr
Description: CRAN Package 'ompr' (Model and Solve Mixed Integer Linear Programs)
 Model mixed integer linear programs in an algebraic way directly in R.  The
 model is solver-independent and thus offers the possibility to solve a model
 with different solvers. It currently only supports linear constraints and
 objective functions. See the 'ompr' website
 <https://dirkschumacher.github.io/ompr/> for more information, documentation
 and examples.

Package: r-cran-omsvg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-gt, r-cran-htmltools, r-cran-magrittr, r-cran-rlang, r-cran-sass, r-cran-xml2
Suggests: r-cran-covr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-omsvg_0.1.0-1.ca2004.1_all.deb
Size: 1154188
MD5sum: d3c5c5f07d3ac312a669e20ea8dca5a8
SHA1: ecc30c493981f0c7305fe332b9ae74dd79c1b089
SHA256: 5246caaf9b32f91757e1894fcd0074f908a4878b1c9ecdfc2772c5f043b87aa5
SHA512: 9ddb184b965c63203f5794bfb602e6f24169fbb01cbf2bbe036ab590280900d848b4ec1743fe85d1d37e7facc99dbfe680c41c69270980a3cf1d33153af26a7c
Homepage: https://cran.r-project.org/package=omsvg
Description: CRAN Package 'omsvg' (Build and Transform 'SVG' Objects)
 Build 'SVG' components using element-based functions. With an 'svg' object,
 we can modify its graphical elements with a suite of transform functions.

Package: r-cran-omu
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3519
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-stringr, r-cran-httr, r-cran-ggfortify, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr, r-cran-broom, r-cran-fsa, r-cran-rstatix, r-cran-randomforest, r-cran-caret
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-omu_1.1.2-1.ca2004.1_all.deb
Size: 1699468
MD5sum: a2efe16f4d211f2d801342d1c2a6ac33
SHA1: 9115becbac702816d8443f6b3b53f65adac673e0
SHA256: 30429f055f6262d3d1bb93a3b25551df03bc21552a3a358a983a2015fef2bb56
SHA512: 20663374e819e0da5ff61fca09bd4cef28024f12bd0d42cc8cc453539d0d8b6f23bd11598391714e699fbbe6697a729a24f51bacb2a396cfee5d455ed299dfb5
Homepage: https://cran.r-project.org/package=omu
Description: CRAN Package 'omu' (A Metabolomics Analysis Tool for Intuitive Figures andConvenient Metadata Collection)
 Facilitates the creation of intuitive figures to describe metabolomics data
 by utilizing Kyoto Encyclopedia of Genes and Genomes (KEGG) hierarchy data,
 and gathers functional orthology and gene data from the KEGG-REST API.

Package: r-cran-onadata
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-onadata_0.1-1.ca2004.1_all.deb
Size: 394924
MD5sum: 56046cd229a63cd284fccb8479b3b9e8
SHA1: e702c6b4e2d49bb003bb652dc0eb0efa8f698f85
SHA256: 44abe0330359e5bca4d4cadf58cb790f5fadfebcc7bb790ad643c16528f87947
SHA512: 870b30357bcc8a63a7c439bcda1c30b99b2023a3d579055c6f415aa5f2202abdc6699c617337893c9b42b4790758a58ae0a53b2d1a2edfbb94fdebee175e94d9
Homepage: https://cran.r-project.org/package=onadata
Description: CRAN Package 'onadata' (Data Sets for Keith McNulty's Handbook of Graphs and Networks inPeople Analytics)
 Data sets for network analysis related to People Analytics.  Contains
 various data sets from the book 'Handbook of Graphs and Networks in People
 Analytics' by Keith McNulty (2021).

Package: r-cran-onage
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-onage_1.0.1-1.ca2004.1_all.deb
Size: 443356
MD5sum: 49ab4e07d1ed8b512e2ec44492679331
SHA1: adc02cb7cb54129fd477365dc991d2e7c391aad5
SHA256: e1a420c7f988fee5f25a04184f6260f9d05fb6c57377c099c61ade714743699b
SHA512: 376f5e8c288268f77da3876b08458423a8cc927c7cce3576097c47b6602369e4b1fa2b061efc74aefb62ecfbb3fa02fddff8556f4af412588a2eec06dd965d0d
Homepage: https://cran.r-project.org/package=OnAge
Description: CRAN Package 'OnAge' (Test of Between-Group Differences in the Onset of Senescence)
 Implementation of a likelihood ratio test of differential onset of
 senescence between two groups. Given two groups with measures of age and of
 an individual trait likely to be subjected to senescence (e.g. body mass),
 'OnAge' provides an asymptotic p-value for the null hypothesis that
 senescence starts at the same age in both groups. The package implements the
 procedure used in Douhard et al. (2017) <doi:10.1111/oik.04421>.

Package: r-cran-onbabynames
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-onbabynames_0.0.1-1.ca2004.1_all.deb
Size: 552040
MD5sum: 66915fc60f7372186421635a957a7e0d
SHA1: 57fa49cf821cbabcbda329b6fbb6810f21d1b519
SHA256: a66ee0fd93f39baa6c89bf4cd84edb89b843728be052a4919dd44dad01fed381
SHA512: 2d08260a9c382b59687503d66815efb8a2ee29c8c79cd5f94a37d78df03322f35fb57947230b2779d10500919da83cc43f3e7812a96425566422bf84ab95f4dd
Homepage: https://cran.r-project.org/package=onbabynames
Description: CRAN Package 'onbabynames' (Names Given to Babies in Ontario Between 1917 and 2018)
 A database containing the names of the babies born in Ontario between 1917
 and 2018.  Counts of fewer than 5 names were suppressed for privacy.

Package: r-cran-onboardclient
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-plyr, r-cran-rrapply, r-cran-rstudioapi, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-onboardclient_1.0.0-1.ca2004.1_all.deb
Size: 74868
MD5sum: da59c600e4a34269b37462736af13a79
SHA1: 35608f36b3ca9522ec19d19462afc0ccf648610c
SHA256: e2f6ce5f375ecf86ae6346a517600d627a323340296a55f112e0359946a08d2b
SHA512: 1b6f3ff5d944ccc99baee9fc0f365dd0ba76799e360b5782dfb7ac25af289aeea1d4a97e5f0994571d13fc7d22690a9d033d2fc01413ce1fbf8ddedcd10a2fc0
Homepage: https://cran.r-project.org/package=OnboardClient
Description: CRAN Package 'OnboardClient' (Bindings for Onboard Data's Building Data API)
 Provides a wrapper for the Onboard Data building data API
 <https://api.onboarddata.io/swagger>. Along with streamlining access to the
 API, this package simplifies access to sensor time series data, metadata
 (sensors, equipment, and buildings), and details about the Onboard data
 model/ontology.

Package: r-cran-onbrand
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2764
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-flextable, r-cran-ggplot2, r-cran-magrittr, r-cran-officer, r-cran-stringr, r-cran-rlang, r-cran-yaml
Suggests: r-cran-knitr, r-cran-knitrdata, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onbrand_1.0.6-1.ca2004.1_all.deb
Size: 1765364
MD5sum: cf17ad6c0f54888d04bc586180e93b77
SHA1: 3c8ce3a2db403cd17a9b6fad447a8219a2f97049
SHA256: e2dd94bf64ac1f8c213a561e36f6903057e354cec59583183a34308a85305bce
SHA512: 923587f89cdf84b790264d7934b85ccaea9a04e16edce87ec90f631264b0e4009d991d56da02db5350b52095f863ca49d5faed7d1de0e83c668240bdc5c8e699
Homepage: https://cran.r-project.org/package=onbrand
Description: CRAN Package 'onbrand' (Templated Reporting Workflows in Word and PowerPoint)
 Automated reporting in Word and PowerPoint can require customization for
 each organizational template. This package works around this by adding
 standard reporting functions and an abstraction layer to facilitate
 automated reporting workflows that can be replicated across different
 organizational templates.

Package: r-cran-onc.api
Architecture: all
Version: 2.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-anytime, r-cran-httr, r-cran-humanize, r-cran-lubridate, r-cran-stringi, r-cran-tictoc, r-cran-crayon, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onc.api_2.0.1.0-1.ca2004.1_all.deb
Size: 263516
MD5sum: a2b39385364d5805df46480b51900470
SHA1: 195b75ecc874036c351c50d36310b870d7f5ca42
SHA256: ab8a6d88a690be81edfe6bb6a65a75cadf61a9a07d4a38a4f6753049d7ce5ba5
SHA512: 0d6d48ba725859dbfdaeab6cc4122c6f8af4087479c97fc4510b86a9f31b4ab394d92702be2d20292b87d278bbe71fd43f6ca8d541762caa9c281304482cd6f8
Homepage: https://cran.r-project.org/package=onc.api
Description: CRAN Package 'onc.api' (Oceans 2.0 API Client Library)
 Allows users to discover and retrieve Ocean Networks Canada's oceanographic
 data in raw, text, image, audio, video or any other format available.
 Provides a class that wraps web service calls and business logic so that
 users can download data with a single line of code.

Package: r-cran-once
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-once_0.4.1-1.ca2004.1_all.deb
Size: 506892
MD5sum: 1a18a181ee1c9c505dcd6954f538ee32
SHA1: 33e352780bd67d5e117e4c8829b1ff7813140cb6
SHA256: e020a3fc625d63fe19b7655245f364b2a1dba9e4981fe26f0fefb4913611ec9a
SHA512: 9fecbcffa6b9ee896cd313dc86857d56bb112507c719cd0edb448468bf8ffdf082c18e557d0db2fb1f6b60e4a349cb0f39dad96f0e7bba9e8b537f1b0fb256f8
Homepage: https://cran.r-project.org/package=once
Description: CRAN Package 'once' (Execute Expensive Operations Only Once)
 Allows you to easily execute expensive compute operations only once, and
 save the resulting object to disk.

Package: r-cran-oncmap
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-readxl, r-cran-dplyr, r-cran-hms, r-cran-lubridate, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oncmap_0.1.7-1.ca2004.1_all.deb
Size: 58532
MD5sum: 1801f7be273767ab98b3c9b50e663554
SHA1: 7d6642bdb0f723d4c3fa6f3c60c028dc1ac2544d
SHA256: e2a41f0dab4dcf09b7ff53a1a702eb588d76bc5150434214fb479c65adc413e9
SHA512: b267a51c068ba7d8f85602951efba0158f8ba3663de08f8ec1f7bc4f5308f16c3c2f2554d09714ba5ce76ca49a8d3722875c21ad46daa220747c1ff2948e19bc
Homepage: https://cran.r-project.org/package=oncmap
Description: CRAN Package 'oncmap' (Analyze Data from Electronic Adherence Monitoring Devices)
 Medication adherence, defined as medication-taking behavior that aligns with
 the agreed-upon treatment protocol, is critical for realizing the benefits
 of prescription medications.  Medication adherence can be assessed using
 electronic adherence monitoring devices (EAMDs), pill bottles or boxes that
 contain a computer chip that records the date and time of each opening (or
 “actuation”). Before researchers can use EAMD data, they must apply a series
 of decision rules to transform actuation data into adherence data.  The
 purpose of this R package ('oncmap') is to transform EAMD actuations in the
 form of a raw .csv file, information about the patient, regimen, and
 non-monitored periods into two daily adherence values -- Dose Taken and
 Correct Dose Taken.

Package: r-cran-oncodatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2476
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-oncodatasets_0.1.0-1.ca2004.1_all.deb
Size: 1319036
MD5sum: 0f54d2061743b6bc906acdb0a747cf18
SHA1: d93c15a69e2f12a014dfd8af6cc395bc08a0b7c9
SHA256: cd93e1c276510aa4bbe1af84f4f86a0eacc82acbfb6619e68c10ef8df7e3567a
SHA512: d80b29f76204ea379a46e3c637abb37a838490dbcfca863ce4edab43e9e66d3ee4e2c3c0f5e14aaec283e2d33fad6051ec32cae8e48d5e74ce5d25384c6c0665
Homepage: https://cran.r-project.org/package=OncoDataSets
Description: CRAN Package 'OncoDataSets' (A Comprehensive Collection of Cancer Types and Cancer-RelatedDatasets)
 Offers a rich collection of data focused on cancer research, covering
 survival rates, genetic studies, biomarkers, and epidemiological insights.
 Designed for researchers, analysts, and bioinformatics practitioners, the
 package includes datasets on various cancer types such as melanoma,
 leukemia, breast, ovarian, and lung cancer, among others.  It aims to
 facilitate advanced research, analysis, and understanding of cancer
 epidemiology, genetics, and treatment outcomes.

Package: r-cran-oncofilterfast
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-oncofilterfast_1.0.0-1.ca2004.1_all.deb
Size: 153312
MD5sum: 9a44c912a7cf26fec89941a0d3f8eab6
SHA1: 431890531df5e47f981f49566a9dcc9e523b19f6
SHA256: 653c83080574bb8f86356e9af0354238f78eda627859c7f950accb51930f193c
SHA512: ff69f9ec9188132a782ff76e485162ee7ca5f20c3a9d7f44f5b97988f07cdba7d0eff03312262cb68c2975118187591c1927bd7555e824c085ba5bca1a238ee0
Homepage: https://cran.r-project.org/package=Oncofilterfast
Description: CRAN Package 'Oncofilterfast' (Aids in the Analysis of Genes Influencing Cancer Survival)
 Aids in the analysis of genes influencing cancer survival by including a
 principal function, calculator(), which calculates the P-value for each
 provided gene under the optimal cutoff in cancer survival studies. Grounded
 in methodologies from significant works, this package references Therneau's
 'survival' package (Therneau, 2024;
 <https://CRAN.R-project.org/package=survival>) and the survival analysis
 extensions by Therneau and Grambsch (2000, ISBN 0-387-98784-3). It also
 integrates the 'survminer' package by Kassambara et al. (2021;
 <https://CRAN.R-project.org/package=survminer>), enhancing survival curve
 visualizations with 'ggplot2'.

Package: r-cran-oncopredict
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ridge, r-cran-car, r-cran-glmnet, r-cran-pls, r-bioc-sva, r-bioc-preprocesscore, r-bioc-genomicfeatures, r-bioc-org.hs.eg.db, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene, r-cran-tidyverse, r-bioc-tcgabiolinks, r-bioc-biocgenerics, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gdata, r-bioc-genefilter, r-bioc-maftools, r-cran-readxl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oncopredict_1.2-1.ca2004.1_all.deb
Size: 108544
MD5sum: a77de2e88f9c0b01d24fd14c47dd9719
SHA1: 4bdb3818b4db042fab0d7cb888a10ac766e66064
SHA256: 3ba700e83b0beb8c2fdc20f9bab40db6739fcd623bb46676e4e0345ce6fa47ba
SHA512: a9bc96e4893096ad12a23079d73187f806fbd6ddad6b55504729cd6e63d98c7ddb9264315ab2f3f9952ddcdc6e76463da8d34618e3b0634441e969d378e603f5
Homepage: https://cran.r-project.org/package=oncoPredict
Description: CRAN Package 'oncoPredict' (Drug Response Modeling and Biomarker Discovery)
 Allows for building drug response models using screening data between bulk
 RNA-Seq and a drug response metric and two additional tools for biomarker
 discovery that have been developed by the Huang Laboratory at University of
 Minnesota.  There are 3 main functions within this package.  (1)
 calcPhenotype is used to build drug response models on RNA-Seq data and
 impute them on any other RNA-Seq dataset given to the model.  (2) GLDS is
 used to calculate the general level of drug sensitivity, which can improve
 biomarker discovery.  (3) IDWAS can take the results from calcPhenotype and
 link the imputed response back to available genomic (mutation and CNV
 alterations) to identify biomarkers.  Each of these functions comes from a
 paper from the Huang research laboratory. Below gives the relevant paper for
 each function.  calcPhenotype - Geeleher et al, Clinical drug response can
 be predicted using baseline gene expression levels and in vitro drug
 sensitivity in cell lines.  GLDS - Geeleher et al, Cancer biomarker
 discovery is improved by accounting for variability in general levels of
 drug sensitivity in pre-clinical models.  IDWAS - Geeleher et al,
 Discovering novel pharmacogenomic biomarkers by imputing drug response in
 cancer patients from large genomics studies.

Package: r-cran-oncosubtype
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1479
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-summarizedexperiment, r-cran-caret, r-cran-randomforest, r-cran-e1071, r-cran-pheatmap, r-cran-tibble, r-cran-dplyr, r-bioc-limma, r-cran-rlang, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oncosubtype_1.0.0-1.ca2004.1_all.deb
Size: 1457148
MD5sum: 15af09311ba90ad5c3e1d967d0945b8b
SHA1: 4d1b6d518e7d7e2b2c0659a7e5111f83c05cd6f0
SHA256: 79c78b5755e665e7486d92b0eb1fce5379b08105ac4fb05a3720922ea283349d
SHA512: 6cfb536c455913af1619e36d92c6e483d4cbfc82df717e7a659c68a97978aefeabdb7a64e968deeeb6ad2c1004479bf7f03414a40ef324e822aa802e726f63bf
Homepage: https://cran.r-project.org/package=OncoSubtype
Description: CRAN Package 'OncoSubtype' (Predict Cancer Subtypes Based on TCGA Data using MachineLearning Method)
 Provide functionality for cancer subtyping using nearest centroids or
 machine learning methods based on TCGA data.

Package: r-cran-oncotree
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-oncotree_0.3.5-1.ca2004.1_all.deb
Size: 430236
MD5sum: 3ac89108ce18daaed07ceeb894678557
SHA1: 42b74976ad517d52af07f521619faf55c16fe147
SHA256: ae0f22f7c083c3bd4783d38c935148736fed47e631ff73eae95a3774969107fb
SHA512: 51145acd252ad7ebebde02c89b5936e9e9392a024ac1edc122fb2989c853ea2d1788fe9f53bce2c33ec67250efe1c9e34ef71604f1b3f61935f9a2fb8acb61c3
Homepage: https://cran.r-project.org/package=Oncotree
Description: CRAN Package 'Oncotree' (Estimating Oncogenetic Trees)
 Construct and evaluate directed tree structures that model the process of
 occurrence of genetic alterations during carcinogenesis as described in
 Szabo, A. and Boucher, K (2002) <doi:10.1016/S0025-5564(02)00086-X>.

Package: r-cran-oncrawlr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite, r-cran-dplyr, r-cran-xgboost, r-cran-proc, r-cran-ggplot2, r-cran-caret, r-cran-rlist, r-cran-readr, r-cran-rlang, r-cran-formattable, r-cran-sparkline, r-cran-webshot, r-cran-e1071, r-cran-pdp, r-cran-fs, r-cran-scales, r-cran-tidyr, r-cran-htmltools, r-cran-rjson
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oncrawlr_0.2.0-1.ca2004.1_all.deb
Size: 73488
MD5sum: 5f6139983df30d82b39691450d844794
SHA1: 65cfc3c109dac066df60b62f1a77c4fc7f610dfb
SHA256: 16aa6c907fe62c76c4a29356802641101b61b2a67010c5430564f894c09fadf4
SHA512: bca1554645c06291d30d84aece2555bd56ef1a8e72ce0176d3992ea5bd56b38e9ac99312d3730d568ffdf1e2f711fee77b341a4b63f094ac437518e3178cbc3c
Homepage: https://cran.r-project.org/package=oncrawlR
Description: CRAN Package 'oncrawlR' (Machine Learning for S.E.O)
 Measures different aspects of page content, structure and performance for
 SEO (Search Engine Optimization).  Aspects covered include HTML tags used in
 SEO, duplicate and near-duplicate content, structured data, on-site linking
 structure and popularity transfer, and many other amazing things.  This
 package can be used to generate a real, full SEO audit report, which serves
 to detect errors or inefficiencies on a page that can be corrected in order
 to optimise its performance on search engines.

Package: r-cran-one4all
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4009
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-dplyr, r-cran-validate, r-cran-digest, r-cran-data.table, r-cran-ckanr, r-cran-openxlsx, r-cran-lexicon, r-cran-readr, r-cran-readxl, r-cran-tibble, r-cran-aws.s3, r-cran-rlang, r-cran-jsonlite, r-cran-mongolite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-config, r-cran-dt, r-cran-shinythemes, r-cran-shinywidgets, r-cran-bs4dash, r-cran-shinyjs, r-cran-listviewer, r-cran-rcurl, r-cran-purrr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-one4all_0.5-1.ca2004.1_all.deb
Size: 2406444
MD5sum: 6f9d163c646f25bf06a8caf468ddf1a4
SHA1: 0044c4d5b2491972ba4475d71427325cdd88b3b9
SHA256: a2b3e8e0de6d955ee340813b26f69a2a9c686a5e75f5663097a4b7bf37a2533e
SHA512: 6eb3b823f6c64b2ca5ba55957b496bb966bd58136de27c91a66411f53d92cb36caa210ba8684a14de918c2ad990da07305b2a7e8f44648a8fffa67a8b7785e78
Homepage: https://cran.r-project.org/package=One4All
Description: CRAN Package 'One4All' (Validate, Share, and Download Data)
 Designed to enhance data validation and management processes by employing a
 set of functions that read a set of rules from a 'CSV' or 'Excel' file and
 apply them to a dataset. Funded by the National Renewable Energy Laboratory
 and Possibility Lab, maintained by the Moore Institute for Plastic Pollution
 Research.

Package: r-cran-onearm2stage
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-flexsurv, r-cran-ipdfromkm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onearm2stage_1.2.1-1.ca2004.1_all.deb
Size: 109336
MD5sum: a0bbe1d32b23d48c5585d8087e3f46fd
SHA1: a6da59ea01dab325a8c19fee9cf7ad3c6a649095
SHA256: bb35af5b5571f6569c9a4fd86be7885f4eade7bf37335f14e939a98edc497f62
SHA512: 028cc47522806c35a993564107dbcb60a997167c3193ac832921be14327ca37dcd20456edfde0cf26cdd685f9f186b27be068db942be67f8229ad09c2417a862
Homepage: https://cran.r-project.org/package=OneArm2stage
Description: CRAN Package 'OneArm2stage' (Phase II Single-Arm Two-Stage Designs with Time-to-EventOutcomes)
 Two-stage design for single-arm phase II trials with time-to-event endpoints
 (e.g., clinical trials on immunotherapies among cancer patients) can be
 calculated using this package.  Two notable advantages of the package: 1) It
 provides flexible choices from three design methods (optimal, minmax, and
 admissible), and 2) the power of the design is more accurately calculated
 using the exact variance in the one-sample log-rank test. The package can be
 used for 1) planning the sample sizes and other design parameters, and 2)
 conducting the interim and final analyses for the Go/No-go decisions. More
 details about the design method can be found in: Wu, J, Chen L, Wei J, Weiss
 H, Chauhan A. (2020).  <doi:10.1002/pst.1983>.

Package: r-cran-onearmtte
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-survival
Filename: pool/dists/focal/main/r-cran-onearmtte_1.0-1.ca2004.1_all.deb
Size: 49004
MD5sum: 378917d2872b99ca886b2cadb03c4438
SHA1: d37c85cf046a59a6b9957bf5a2cd6e911c30c22f
SHA256: ebc54b4a909b03da85d8a3ecf87a59580cec7d102c822a464bfdc2091092df0a
SHA512: 7a835961b1232e921f2bd977c0613e377d1ed4fa1826db9a47ba29ec505ee368daefafde81a7c15072d760358fd5a18d0c5d1ad7b7943078715b4ed8f1031cf0
Homepage: https://cran.r-project.org/package=OneArmTTE
Description: CRAN Package 'OneArmTTE' (One-Arm Clinical Trial Designs for Time-to-Event Endpoint)
 Get operating characteristics of one-arm clinical trial designs for
 time-to-event endpoint through simulation and perform analysis with
 time-to-event data.

Package: r-cran-oneinfl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oneinfl_1.0.2-1.ca2004.1_all.deb
Size: 136380
MD5sum: 8f5cbeefa911e44948941539e0a54df6
SHA1: d64ff9220922239b1b84ad4201e3642b790944f4
SHA256: 5e54d1a3f487d793e191602643f2f5f061d20f0ce5bfe7df657f8c34acd92fd6
SHA512: 4545daa8266c5883a1c06caf1a82008a998d4ddc8190f8959771238bb68b2b5ee19627ba17038b4a25baf9b10a18d2722cdb5e28d0f9af0feee99f440e8e7d74
Homepage: https://cran.r-project.org/package=oneinfl
Description: CRAN Package 'oneinfl' (Estimates OIPP and OIZTNB Regression Models)
 Estimates one-inflated positive Poisson (OIPP) and one-inflated
 zero-truncated negative binomial (OIZTNB) regression models. A suite of
 ancillary statistical tools are also provided, including: estimation of
 positive Poisson (PP) and zero-truncated negative binomial (ZTNB) models;
 marginal effects and their standard errors; diagnostic likelihood ratio and
 Wald tests; plotting; predicted counts and expected responses; and random
 variate generation. The models and tools, as well as four applications, are
 shown in Godwin, R. T. (2024). "One-inflated zero-truncated count regression
 models" arXiv preprint <doi:10.48550/arXiv.2402.02272>.

Package: r-cran-onelogin
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-glue, r-cran-safer, r-cran-magrittr, r-cran-jsonlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-onelogin_0.2.0-1.ca2004.1_all.deb
Size: 86748
MD5sum: 7f146a84d61210c7351697be12ee4bf3
SHA1: 135407ff4906a5c2c8238abcaa7f93a629c0e7ce
SHA256: c77ef97549fa6940dd062f422d6adaab49eafced291f8508431a7435cf740cc8
SHA512: fe5efa4b42d7d2ac7905ab13c620097e74665719e332da351c37597460873e478a8825de98678a976147d1687b6cecfd61f59b803044d6f00439222ff8480c0a
Homepage: https://cran.r-project.org/package=onelogin
Description: CRAN Package 'onelogin' (Interact with the 'OneLogin' API)
 The identity provider ['OneLogin']<http://onelogin.com> is used for
 authentication via Single Sign On (SSO). This package provides an R
 interface to their API.

Package: r-cran-onemapsgapi
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-httr2, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-future, r-cran-furrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-googlepolylines
Filename: pool/dists/focal/main/r-cran-onemapsgapi_2.0.0-1.ca2004.1_all.deb
Size: 91596
MD5sum: 6c0d51c714d8a06abb2a3d0a93000cb3
SHA1: 89255f9d90d59743f845878a2aa98404c07cbc4d
SHA256: 5d8a1a8e027a60a91ce53276b4860585e1e622923f823eb51b96dbf18cfed5cc
SHA512: 782798f699c292d26f193cffa300694191e26970aa13c109003845e9ef0f73827ec930c10208a1ce2ea19d56ac6862bb49c654130b3d3edb64412713fadce320
Homepage: https://cran.r-project.org/package=onemapsgapi
Description: CRAN Package 'onemapsgapi' (R Wrapper for the 'OneMap.Sg API')
 An R wrapper for the 'OneMap.Sg' API <https://www.onemap.gov.sg/docs/>.
 Functions help users query data from the API and return raw JSON data in
 "tidy" formats. Support is also available for users to retrieve data from
 multiple API calls and integrate results into single dataframes, without
 needing to clean and merge the data themselves. This package is best suited
 for users who would like to perform analyses with Singapore's spatial data
 without having to perform excessive data cleaning.

Package: r-cran-onepass
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onepass_0.1.2-1.ca2004.1_all.deb
Size: 26092
MD5sum: b2c8e63e574972b71f769c908c000ffc
SHA1: 8fc0406aa89103d73d25a2573c7aa03605d9bb32
SHA256: f0dd2dd0698e2a649563ebf084130ebd028ab811f00a37a421854155f54a685d
SHA512: 683f287d241119fb55b0f494b8606ef49ecd6ce6f310878aaf297016fd412abc71ac0aa0a90ed35e5bb8f8f506feba00dff521ae0d9cb3bc110958335719d306
Homepage: https://cran.r-project.org/package=onepass
Description: CRAN Package 'onepass' (1password Credential Retrieval)
 Interaction with 1Password via the command-line tool
 <https://1password.com/downloads/command-line/> to read vault contents and
 download credentials.

Package: r-cran-oner
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-oner_2.2-1.ca2004.1_all.deb
Size: 99632
MD5sum: 482f272f18c8353b1ad7946bf1dec66d
SHA1: 57dc72d7b5122005159584f022a5a52c115742de
SHA256: 2cf34cd5a343c571e9ca420e7553c8ca3f7047435c69d0bc984d72828e1fd831
SHA512: 945fbefa9e389e2b856c3b2598afabca404edf700413abd2256be06ca2faba5c0d8bdde007d24b0ebc6fd298cc17299ef48bcf32a8e37ab1fb0473d0153a20d7
Homepage: https://cran.r-project.org/package=OneR
Description: CRAN Package 'OneR' (One Rule Machine Learning Classification Algorithm withEnhancements)
 Implements the One Rule (OneR) Machine Learning classification algorithm
 (Holte, R.C. (1993) <doi:10.1023/A:1022631118932>) with enhancements for
 sophisticated handling of numeric data and missing values together with
 extensive diagnostic functions. It is useful as a baseline for machine
 learning models and the rules are often helpful heuristics.

Package: r-cran-onesamplelogranktest
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-survival, r-cran-survminer, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-onesamplelogranktest_0.9.2-1.ca2004.1_all.deb
Size: 190776
MD5sum: 369ba828966e0f73b11500ec339ddc62
SHA1: 248d5a23bd7e12bff6c8dfd943718497cfd56d4a
SHA256: 56357dfddc189af93848773c3f4c9e41bac07a3caacbc3882d2e8a3dccf0ce81
SHA512: cdc2bee48403ea52affcc4dfbeb448f4ca489290cc87779ab940d76ec1da998f4ae8afd3028512671fb6784863ce39870549cdb9c5df16f2fd2487a2e21e735f
Homepage: https://cran.r-project.org/package=OneSampleLogRankTest
Description: CRAN Package 'OneSampleLogRankTest' (One-Sample Log-Rank Test)
 The log-rank test is performed to assess the survival outcomes between two
 group.  When there is no proper control group or obtaining such data is
 cumbersome, one sample log-rank test can be applied. This package performs
 one sample log-rank test as described in Finkelstein et al.
 (2003)<doi:10.1093/jnci/djt227> and variation of the test for small sample
 sizes which is detailed in FD Liddell (1984)<doi:10.1136/jech.38.1.85>
 paper. Visualization function in the package generates Kaplan-Meier Curve
 comparing survival curve of the general population against that of the
 population of interest.

Package: r-cran-onesamplemr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-formula, r-cran-gmm, r-cran-ivreg, r-cran-lmtest, r-cran-msm, r-cran-rlang
Suggests: r-cran-haven, r-cran-knitr, r-cran-lfe, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onesamplemr_0.1.6-1.ca2004.1_all.deb
Size: 119252
MD5sum: 7903256a908720ca52111d2a75c8032f
SHA1: a357a334dd13441595b69c5164f81a9ab269317e
SHA256: 459963d1269c004324cfb1aac122da0ff8a6a305421bb25bfa29d4952ce32956
SHA512: 2b83b7295d86646a1de90aee5bd51b1b6a55fdfcc421be44486216de75535bdd39b349bc6d8ca5e5b6185d9c34dcd40edc3a0951f411fcb9a996f9423f1cf397
Homepage: https://cran.r-project.org/package=OneSampleMR
Description: CRAN Package 'OneSampleMR' (One Sample Mendelian Randomization and Instrumental VariableAnalyses)
 Useful functions for one-sample (individual level data) Mendelian
 randomization and instrumental variable analyses. The package includes
 implementations of; the Sanderson and Windmeijer (2016)
 <doi:10.1016/j.jeconom.2015.06.004> conditional F-statistic, the
 multiplicative structural mean model Hernán and Robins (2006)
 <doi:10.1097/01.ede.0000222409.00878.37>, and two-stage predictor
 substitution and two-stage residual inclusion estimators explained by Terza
 et al. (2008) <doi:10.1016/j.jhealeco.2007.09.009>.

Package: r-cran-onest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-onest_0.1.0-1.ca2004.1_all.deb
Size: 117692
MD5sum: 223929315f0d9826ee31ad897fd4484e
SHA1: a055573d276a91328a3d6e09c55e1381cc052157
SHA256: 97b376274ac13ec7a866f7be99d33398f1878a483bcc44f6d824efab005c38ce
SHA512: b763db0fb0bbfb988e5e88a394f727cd479b8c1e4477d731f56777fbb91b0ea2be54b41b3a760120dab572f5b8371bbc28f094e4adc0d358ca05b19b46059baf
Homepage: https://cran.r-project.org/package=ONEST
Description: CRAN Package 'ONEST' (Observers Needed to Evaluate Subjective Tests)
 This ONEST software implements the method of assessing the pathologist
 agreement in reading PD-L1 assays (Reisenbichler et al. (2020
 <doi:10.1038/s41379-020-0544-x>)), to determine the minimum number of
 evaluators needed to estimate agreement involving a large number of raters.
 Input to the program should be binary(1/0) pathology data, where “0” may
 stand for negative and “1” for positive. Additional examples were given
 using the data from Rimm et al. (2017 <doi:10.1001/jamaoncol.2017.0013>).

Package: r-cran-onestep
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fitdistrplus, r-cran-numderiv, r-cran-extradistr
Suggests: r-cran-actuar
Filename: pool/dists/focal/main/r-cran-onestep_0.9.4-1.ca2004.1_all.deb
Size: 71104
MD5sum: df2c3bf9af499c7de3bff9ed332d038a
SHA1: 82b9b7ebc78a4eae5b14aa761d4e535d5d223311
SHA256: 4a382bc22b0a38d3580a44af1019bd2262eec4d97c391de72acc31fff0e82fc9
SHA512: 67a1bc038daa5b91c0b63830362aa5ffad59bc0bf42caf69151a14196d65b840cd11289a9539ee542d7d6ceb51e8e73aedc7b08b51940f6844cfac5e45fe08c3
Homepage: https://cran.r-project.org/package=OneStep
Description: CRAN Package 'OneStep' (One-Step Estimation)
 Provide principally an eponymic function that numerically computes the Le
 Cam's one-step estimator for an independent and identically distributed
 sample.  One-step estimation is asymptotically efficient (see L. Le Cam
 (1956) <https://projecteuclid.org/euclid.bsmsp/1200501652>) and can be
 computed faster than the maximum likelihood estimator for large observation
 samples, see e.g. Brouste et al. (2021) <doi:10.32614/RJ-2021-044>.

Package: r-cran-onetime
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rappdirs, r-cran-filelock
Suggests: r-cran-callr, r-cran-covr, r-cran-devtools, r-cran-doctest, r-cran-knitr, r-cran-lifecycle, r-cran-mockr, r-cran-rlang, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-onetime_0.2.0-1.ca2004.1_all.deb
Size: 71984
MD5sum: 9b0ff64ab83b1123f063730adfdf8a43
SHA1: cb5a829c00b84ae1f9664e5b908df58e1497cff2
SHA256: ee1ac2b240268e087d1041636243a7b16165a5c979bf5c21a407ccb38d3bfdf0
SHA512: c33b29cef7ee74a58ed85436c06a2f4dff4e5c71e5df59aa8fa8b31fb9e65f37080dfa1d444b83923516b3525e210bc3b98fefd0256dd64668b7b58a456f2825
Homepage: https://cran.r-project.org/package=onetime
Description: CRAN Package 'onetime' (Run Code Only Once)
 Allows code to be run only once on a given computer, using lockfiles.
 Typical use cases include startup messages shown only when a package is
 loaded for the very first time.

Package: r-cran-onetr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-onetr_1.0.3-1.ca2004.1_all.deb
Size: 84196
MD5sum: 7a0ea61012ac1378e5e6188921511309
SHA1: fbf72100f422ede1aa77a91f42eb6b907f9397ba
SHA256: 5f4dbc3f4c38ef73c5fbfdff6fc45088ce836664156fb8c576481cb6ec4e191e
SHA512: c5659ed86547d5842cd72e89812cde66413da7b05704da6268f429cb4c04bc8f284cc1ad917a6811ba0e1e2075c04e5df93302f1b7c8696ce6da1b8297d4d42c
Homepage: https://cran.r-project.org/package=ONETr
Description: CRAN Package 'ONETr' (Efficient Authenticated Interaction with the O*NET API)
 Provides a series of functions designed to enable users to easily search and
 interact with occupational data from the O*NET API <www.onetonline.org>. The
 package produces parsed and listed XML data for custom interactions, or
 pre-packaged functions for easy extraction of specific data (e.g.,
 Knowledge, Skills, Abilities, Work Styles, etc.).

Package: r-cran-onetwosamples
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-onetwosamples_1.1-0-1.ca2004.1_all.deb
Size: 241216
MD5sum: 638971a4aff29376d593ffff7d6416cd
SHA1: 782a581fcc8ac58abd49e81c72bd9ee58adcb6e5
SHA256: 365d32158ca418e77c59b3b317db91d1791f8fe0ca41024c5e23f4c10ba89e8b
SHA512: 3558ce973b67b13be75cd618f7703c4cb9241afd5bbf1005452f67c723e88285bbee3fd6497408394bd6fb817b71dea438b6b013916fb1cea07ea90005a66fa9
Homepage: https://cran.r-project.org/package=OneTwoSamples
Description: CRAN Package 'OneTwoSamples' (Deal with One and Two (Normal) Samples)
 We introduce an R function one_two_sample() which can deal with one and two
 (normal) samples, Ying-Ying Zhang, Yi Wei (2012)
 <doi:10.2991/asshm-13.2013.29>.  For one normal sample x, the function
 reports descriptive statistics, plot, interval estimation and test of
 hypothesis of x. For two normal samples x and y, the function reports
 descriptive statistics, plot, interval estimation and test of hypothesis of
 x and y, respectively. It also reports interval estimation and test of
 hypothesis of mu1-mu2 (the difference of the means of x and y) and sigma1^2
 / sigma2^2 (the ratio of the variances of x and y), tests whether x and y
 are from the same population, finds the correlation coefficient of x and y
 if x and y have the same length.

Package: r-cran-onewaytests
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-moments, r-cran-car, r-cran-ggplot2, r-cran-nortest, r-cran-wesanderson
Suggests: r-cran-aid, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-onewaytests_3.0-1.ca2004.1_all.deb
Size: 234916
MD5sum: 8c4fb87c04dc70aead0fe4bd5cfff7ef
SHA1: 74b3a19ea0e52148476c403d84a76c4fc3bdbb1a
SHA256: d7d08836056f69c7f86fc37d6d4c9092fe1b564fc7329f4d774e3dc23061eb78
SHA512: a9474ddf12e637629abf57389a4b8bb646dfe811b81600f27fcfae74da23980f256ba3be5c907abe35e055f1f50e940fe4cb1a65b0bb85905de2d6aaa1d25d33
Homepage: https://cran.r-project.org/package=onewaytests
Description: CRAN Package 'onewaytests' (One-Way Tests in Independent Groups Designs)
 Performs one-way tests in independent groups designs including homoscedastic
 and heteroscedastic tests. These are one-way analysis of variance (ANOVA),
 Welch's heteroscedastic F test, Welch's heteroscedastic F test with trimmed
 means and Winsorized variances, Brown-Forsythe test, Alexander-Govern test,
 James second order test, Kruskal-Wallis test, Scott-Smith test, Box F test,
 Johansen F test, Generalized tests equivalent to Parametric Bootstrap and
 Fiducial tests, Alvandi's F test, Alvandi's generalized p-value, approximate
 F test, B square test, Cochran test, Weerahandi's generalized F test,
 modified Brown-Forsythe test, adjusted Welch's heteroscedastic F test,
 Welch-Aspin test, Permutation F test. The package performs pairwise
 comparisons and graphical approaches. Also, the package includes Student's t
 test, Welch's t test and Mann-Whitney U test for two samples. Moreover, it
 assesses variance homogeneity and normality of data in each group via tests
 and plots (Dag et al., 2018,
 <https://journal.r-project.org/archive/2018/RJ-2018-022/RJ-2018-022.pdf>).

Package: r-cran-onlinebcp
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3188
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-vim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onlinebcp_0.1.8-1.ca2004.1_all.deb
Size: 2250424
MD5sum: 4015f5c5734118934d993bc6eef58042
SHA1: 3be946c63fc959ce115df34edccf92b666acd085
SHA256: 25a9df71ca55bac87cfeb3d0156eb0e4db528f19f37bb6e640a6eae3bb3ff2c9
SHA512: 7de99fe9320849d8edb196993ca1837d237a862afb55e9b0c72f5146ff78219caf5434740561fa936b8a308c297b18af26b689e2b6de05148aff32ef94e04c5a
Homepage: https://cran.r-project.org/package=onlineBcp
Description: CRAN Package 'onlineBcp' (Online Bayesian Methods for Change Point Analysis)
 It implements the online Bayesian methods for change point analysis. It can
 also perform missing data imputation with methods from 'VIM'. The reference
 is Yigiter A, Chen J, An L, Danacioglu N (2015)
 <doi:10.1080/02664763.2014.1001330>.  The link to the package is
 <https://CRAN.R-project.org/package=onlineBcp>.

Package: r-cran-onlineretail
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2831
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-onlineretail_0.1.2-1.ca2004.1_all.deb
Size: 2863444
MD5sum: c9ac0b42b5df2e3e3ee3b1e237670c54
SHA1: 193ed838dbc47b42020836015cb2545928e351f5
SHA256: 1fe73e555f20dd78f59186749af068fd9686be10daa1f20cd78dd9a4895c8820
SHA512: 0785e7128e7d7f9d58429e11e3b131769bf12863ce75b5af0a56dd7074478ce87ed190e727e4fb767cb5ba6707308cf59d7bb7c1212e7507e5c3eda2daf33a4b
Homepage: https://cran.r-project.org/package=onlineretail
Description: CRAN Package 'onlineretail' (Online Retail Dataset)
 Transactions occurring for a UK-based and registered, non-store online
 retail between 01/12/2010 and 09/12/2011 (Chen et. al., 2012,
 <doi:10.1145/1835804.1835882>).  This dataset is included in this package
 with the donor's permission, Dr. Daqing Chen.

Package: r-cran-onls
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-onls_0.1-2-1.ca2004.1_all.deb
Size: 428172
MD5sum: 29daeefed4f2d0ceedac6ab4850f2224
SHA1: 8446c25c2aaa292451646ea150c9e8319d795444
SHA256: 9617314b3f723f1ebe42e2e3ac4158b53885d13ee3175d6075523767aa603097
SHA512: 615caf62f984bbee23d03d8e83d0fe5913a3603c4329d5367c3272d7b48a511768f2c8d8c806549040aecb5b65657d9cb8f026abbf68974fdcd2dfb70d803ba0
Homepage: https://cran.r-project.org/package=onls
Description: CRAN Package 'onls' (Orthogonal Nonlinear Least-Squares Regression)
 Fits two-dimensional data by means of orthogonal nonlinear least-squares
 using Levenberg-Marquardt minimization and provides functionality for fit
 diagnostics and plotting.

Package: r-cran-onmarg
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-readxl, r-cran-sf, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-onmarg_1.0.3-1.ca2004.1_all.deb
Size: 34892
MD5sum: 8170357b79c6a1223db9f876307471c2
SHA1: 77749c5052a27512d8bea1117016dfda43fe85c0
SHA256: 3898488086d939ea48252c0f00a6365cc736f9d1f9f80f24cf85fa40ce3ded7d
SHA512: 05c7b601235f76a8a1fd3ae19d2914148268a2f263aa5c6be2e2d0c838df77134531c25a157062b3072705f646bbb86220f5a893dd7ec51d7a274849d450af54
Homepage: https://cran.r-project.org/package=onmaRg
Description: CRAN Package 'onmaRg' (Import Public Health Ontario's Ontario Marginalization Index)
 The Ontario Marginalization Index is a socioeconomic model that is built on
 Statistics Canada census data.  The model consists of four dimensions: In
 2021, these dimensions were updated to "Material Resources" (previously
 called "Material Deprivation"), "Households and Dwellings" (previously
 called "Residential Instability"), "Age and Labour Force" (previously called
 "Dependency"), and "Racialized and Newcomer Populations" (previously called
 "Ethnic Concentration").  This update reflects a movement away from
 deficit-based language. 2021 data will load with these new dimension names,
 wheras 2011 and 2016 data will load with the historical dimension names.
 Each of these dimensions are imported for a variety of geographic levels
 (DA, CD, etc.) for the 2021, 2011 and 2016 administrations of the census.
 These data sets contribute to community analysis of equity with respect to
 Ontario's Anti-Racism Act.  The Ontario Marginalization Index data is
 retrieved from the Public Health Ontario website:
 <https://www.publichealthontario.ca/en/data-and-analysis/health-equity/ontario-marginalization-index>.
 The shapefile data is retrieved from the Statistics Canada website:
 <https://www12.statcan.gc.ca/census-recensement/2011/geo/bound-limit/bound-limit-eng.cfm>.

Package: r-cran-onnx
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-onnx_0.0.3-1.ca2004.1_all.deb
Size: 34860
MD5sum: bd146e545eae8de537fe46b26fa4bb13
SHA1: c503dececf69a961b759b893d883a18259a3e57f
SHA256: e3ae7772e949baac01cd1aeaf0d32d187fe02e1b26945dff982fff6534959b23
SHA512: b6bf6a08c6622cc5ecd79c335acd33f4e1977af69244b18e4280d9797439041a1768fd1f8bcadf644e3fedd160967617cd6ed3d28df100366f50929cf3194359
Homepage: https://cran.r-project.org/package=onnx
Description: CRAN Package 'onnx' (R Interface to 'ONNX')
 R Interface to 'ONNX' - Open Neural Network Exchange <https://onnx.ai/>.
 'ONNX' provides an open source format for machine learning models.  It
 defines an extensible computation graph model, as well as definitions of
 built-in operators and standard data types.

Package: r-cran-onomasticdiversity
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sqldf
Filename: pool/dists/focal/main/r-cran-onomasticdiversity_0.1-1.ca2004.1_all.deb
Size: 237948
MD5sum: 57415ddb04c7d86d8a2c130ff30d119a
SHA1: c50421514c4369ff0d209466bb49635e2f2727e8
SHA256: 6c11cf34c748f3e1537d13e8d0496473a317d411f8a63b797135b36bd0ee1ea6
SHA512: 5212bc7b9c48d4ccd131b2436fe5ac51dfc05006788329454303a59c9e31e26350a1f98331490c4a0c7f1e535f92ded52b4aa906a23e3bdfa6fb2574f7d1df1b
Homepage: https://cran.r-project.org/package=OnomasticDiversity
Description: CRAN Package 'OnomasticDiversity' (Onomastic Diversity Measures)
 Different measures which can be used to quantify similarities between
 regions. These measures are isonymy, isonymy between, Lasker distance,
 coefficients of Hedrick and Nei. In addition, it calculates biodiversity
 indices such as Margalef, Menhinick, Simpson, Shannon, Shannon-Wiener,
 Sheldon, Heip, Hill Numbers, Geometric Mean and Cressie and Read statistics.

Package: r-cran-onpoint
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.random
Suggests: r-cran-covr, r-cran-spatstat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-onpoint_1.1-1.ca2004.1_all.deb
Size: 251704
MD5sum: 1b9de10ea2c5598ffdae825a6130d927
SHA1: db56c0755c111cd295efef4baa27f24f92e09dbf
SHA256: d97b6255557d691febe4acd0666ed646b59dd557f88ed662028d7349fdf0f874
SHA512: f1cd7059751e6ba6b74740fc08fa6be62d0b9edfa04269dc9878b2237563905b5c211628ca3860ba7bcd2c58212c9d3c75ed38ec77603a020d9fcd36c0ed90ea
Homepage: https://cran.r-project.org/package=onpoint
Description: CRAN Package 'onpoint' (Helper Functions for Point Pattern Analysis)
 Growing collection of helper functions for point pattern analysis. Most
 functions are designed to work with the 'spatstat' (<http://spatstat.org>)
 package. The focus of most functions are either null models or summary
 functions for spatial point patterns.  For a detailed description of all
 null models and summary functions, see Wiegand and Moloney (2014,
 ISBN:9781420082548).

Package: r-cran-onsr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-data.table, r-cran-vroom, r-cran-curl
Filename: pool/dists/focal/main/r-cran-onsr_1.0.2-1.ca2004.1_all.deb
Size: 63308
MD5sum: acdabf0cb5fa0a10cac4cf34d270dd2b
SHA1: 7ee4a53c75dfb8857f7a9a722ed80789e7c43604
SHA256: 4337789ad944bc85771747427f379f65b2b9e14905cffb09231f4c2309dfa534
SHA512: 08e639d70f9354db0903e6617f894052f68ab8a2eafa316ac0b03e205694d903164b0e4301e812f9b8079153b0a11ab75b9bab2d5ec966fd16311b8f20304f74
Homepage: https://cran.r-project.org/package=onsr
Description: CRAN Package 'onsr' (Client for the 'ONS' API)
 Client for the 'Office of National Statistics' ('ONS') API
 <https://api.beta.ons.gov.uk/v1>.

Package: r-cran-onsvplot
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-onsvplot_0.3.2-1.ca2004.1_all.deb
Size: 379992
MD5sum: 059e34634526f2f5887ea460f82cf431
SHA1: dc8690d646df80f42f2ee56f0f80b252a3fb4d21
SHA256: 6c1b349e6b4a3495cac1670551d08cc356fe623f27e59b8b38007d71d8b2c39b
SHA512: fd5153733226347475cbcd2b19229ed37a64ad3235a378ddb766f145aedf41a3d16a1db0335d0a246ec49d081e32bc388a0916a00a9b9583ef1be86159760203
Homepage: https://cran.r-project.org/package=onsvplot
Description: CRAN Package 'onsvplot' (National Road Safety Observatory (ONSV) Style for 'ggplot2'Graphics)
 Helps to create 'ggplot2' charts in the style used by the National Road
 Safety Observatory (ONSV). The package includes functions to customize
 'ggplot2' objects with new theme and colors.

Package: r-cran-onsvtables
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gt
Filename: pool/dists/focal/main/r-cran-onsvtables_0.1.0-1.ca2004.1_all.deb
Size: 41520
MD5sum: 2675a1488a026d7c828ee3da341aefa9
SHA1: f7a01c4e6aab02f8ef92c713e4267cf3e6028645
SHA256: c1be2d48fea8640ba7142956649371fb88fb81248848b51adcc30b0f50044e5d
SHA512: 015f2c4af487faf0898ba0fe263f5fb4eadd2e0d2f822cccd8dd4f687064bc35240026ebb31379fe9bd45df3ab8d5fc5644f8bc3d8fc47c8b070988e7a605b4c
Homepage: https://cran.r-project.org/package=onsvtables
Description: CRAN Package 'onsvtables' (National Road Safety Observatory (ONSV) Styles for 'gt' Tables)
 Wrapper functions for customizing HTML tables from the 'gt' package to the
 ONSV style.

Package: r-cran-ontofast
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2497
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-ontologyindex, r-cran-visnetwork, r-cran-shinydashboard, r-cran-pbapply, r-cran-stringr, r-cran-dplyr, r-cran-plyr, r-cran-sunburstr, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ontofast_1.0.0-1.ca2004.1_all.deb
Size: 555928
MD5sum: 903508b71c4b5904c209e6dcf8ffc86c
SHA1: b3a4d69bdfcc95b512f159dd444be2976891d919
SHA256: cb8c88bf6780da5bbfae1c79468f64264ed4a249ed510651818885f0fbb3931e
SHA512: 7425f9fc23fddb7c7a4f57933078280d0401cdc535d199ec9dfa94a65eda99b4b0f838dcab533e044ac4e8d77d88d1cef58d06b85237a3fdb1d1b5a962955e3c
Homepage: https://cran.r-project.org/package=ontoFAST
Description: CRAN Package 'ontoFAST' (Interactive Annotation of Characters with Biological Ontologies)
 Tools for annotating characters (character matrices) with anatomical and
 phenotype ontologies. Includes functions for visualising character
 annotations and creating simple queries using ontological relationships.

Package: r-cran-ontologics
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2661
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-readr, r-cran-httr, r-cran-rdflib, r-cran-fuzzyjoin, r-cran-beepr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ontologics_0.7.4-1.ca2004.1_all.deb
Size: 1970440
MD5sum: 3163beb762c35a7a3293bce15141f1ca
SHA1: c6de0f0d5b425b36b0dd838599817be9912d6f68
SHA256: a4b0857ac8971bc3605a93aa3533914dd0f89dce36bec3ceaca0174a6cf529be
SHA512: 73735cfd3d3b9a010714058c23ef47ee556672839e42cc6d8dc215740adb7e2f93df950a81d31695ac0aa9c67ec7a0ba7bb0476d4abd76573874a04bfbafa587
Homepage: https://cran.r-project.org/package=ontologics
Description: CRAN Package 'ontologics' (Code-Logics to Handle Ontologies)
 Provides tools to build and work with an ontology of linked (open) data in a
 tidy workflow. It is inspired by the Food and Agrilculture Organizations
 (FAO) caliper platform <https://www.fao.org/statistics/caliper/web/> and
 makes use of the Simple Knowledge Organisation System (SKOS).

Package: r-cran-ontologyindex
Architecture: all
Version: 2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2162
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ontologyindex_2.12-1.ca2004.1_all.deb
Size: 2114812
MD5sum: fe78bc706914c6e2b7d8875f4169cad3
SHA1: 80ed5055445d6ab4372d7e0552845eb6d7cb2781
SHA256: 7c186eb1e37c169c62daa34b8071c95ca560c41cb6acc61659949f22948a3d0b
SHA512: 529062e880f6fd7c02706c7b37270f497d8c69cbba6636bfbd06016e140e73adfe6e802d969451c62beea00f30c1f6fffe2b24b53da440e48ce1a0356a5358a3
Homepage: https://cran.r-project.org/package=ontologyIndex
Description: CRAN Package 'ontologyIndex' (Reading Ontologies into R)
 Functions for reading ontologies into R as lists and manipulating sets of
 ontological terms - 'ontologyX: A suite of R packages for working with
 ontological data', Greene et al 2017 <doi:10.1093/bioinformatics/btw763>.

Package: r-cran-ontologyplot
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ontologyindex, r-cran-paintmap, r-bioc-rgraphviz
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ontologyplot_1.7-1.ca2004.1_all.deb
Size: 258236
MD5sum: c5fd7701eab40628396c34e6f0983cdb
SHA1: 4e6cbae242042df4f2c2b841854bdc53b3b7ec60
SHA256: 0dcf72ce546e4047c63de5bf368528b18eaaef4b425ed3b6a486f0cd52bd9059
SHA512: d61c4c9e2bc1bf109f4375e071e43f18bf881927ea9ee81e6f77454f5500b8c278b1cfa2fc812c65d6ad518814f2d09ad75a68a7dbb308fb16151e09a6b28750
Homepage: https://cran.r-project.org/package=ontologyPlot
Description: CRAN Package 'ontologyPlot' (Visualising Sets of Ontological Terms)
 Create R plots visualising ontological terms and the relationships between
 them with various graphical options - Greene et al. 2017
 <doi:10.1093/bioinformatics/btw763>.

Package: r-cran-ontophylo
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3600
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-ggplot2, r-cran-stringdist, r-cran-ape, r-cran-phytools, r-cran-ontologyindex, r-cran-rcolorbrewer, r-cran-truncnorm, r-cran-fancova, r-cran-grimport
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-roxygen2, r-cran-testthat, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ontophylo_1.1.3-1.ca2004.1_all.deb
Size: 3292236
MD5sum: 086a05f5ea3712e23f75e7457dc23f55
SHA1: 6d96bfa0cad13f45fa1145af0e180150fbeef265
SHA256: 862479f876631fbaa53defe152e85660344d91b27eebdfa855ab2ef5704a115a
SHA512: 5ac39104809e74b1424579b1a5a4738d23afde9d547ee28e9eec3221a006c9358782f9c45819d3a2fe85891cdfd3a3ffe8d376e1da2cfb97f4ea09ccc37d8a40
Homepage: https://cran.r-project.org/package=ontophylo
Description: CRAN Package 'ontophylo' (Ontology-Informed Phylogenetic Comparative Analyses)
 Provides new tools for analyzing discrete trait data integrating
 bio-ontologies and phylogenetics. It expands on the previous work of Tarasov
 et al. (2019) <doi:10.1093/isd/ixz009>. The PARAMO pipeline allows to
 reconstruct ancestral phenomes treating groups of morphological traits as a
 single complex character. The pipeline incorporates knowledge from
 ontologies during the amalgamation of individual character stochastic maps.
 Here we expand the current PARAMO functionality by adding new statistical
 methods for inferring evolutionary phenome dynamics using non-homogeneous
 Poisson process (NHPP). The new functionalities include: (1) reconstruction
 of evolutionary rate shifts of phenomes across lineages and time; (2)
 reconstruction of morphospace dynamics through time; and (3) estimation of
 rates of phenome evolution at different levels of anatomical hierarchy
 (e.g., entire body or specific regions only). The package also includes
 user-friendly tools for visualizing evolutionary rates of different
 anatomical regions using vector images of the organisms of interest.

Package: r-cran-oobcurve
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlr, r-cran-randomforest, r-cran-ranger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oobcurve_0.3-1.ca2004.1_all.deb
Size: 24400
MD5sum: 82b0c2380166c59c4581cb74024f4024
SHA1: dcabf1db1dd44e11d76d77ef97468bdb71e690f6
SHA256: ddd33beda2663919220e6205c75ef1cd53d1cf8e55badd4a6b463dd5f7cd1b5d
SHA512: 43d76c97358492a11e097595e191aa189d69221f2e7e80f82e5edc7231192aa476f20598728d6c267102d6b896a8088c50028899e04f21e9ddea221f15b6475c
Homepage: https://cran.r-project.org/package=OOBCurve
Description: CRAN Package 'OOBCurve' (Out of Bag Learning Curve)
 Provides functions to calculate the out-of-bag learning curve for random
 forests for any measure that is available in the 'mlr' package. Supported
 random forest packages are 'randomForest' and 'ranger' and trained models of
 these packages with the train function of 'mlr'. The main function is
 OOBCurve() that calculates the out-of-bag curve depending on the number of
 trees. With the OOBCurvePars() function out-of-bag curves can also be
 calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the
 'ranger' package.

Package: r-cran-ooi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-modi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ooi_0.1.0-1.ca2004.1_all.deb
Size: 55396
MD5sum: 898ec7224ea8720b212b196360399ddb
SHA1: 54057802d4396803c2812b51ba86ba3d90ac78b8
SHA256: 27726cc33e70d4d5beb855eb2bb71560910c90b61e27856aedb990c3eb783823
SHA512: 03fb0eb272eacca22820c79e5ca39dd278ee13e6c135d42637355b4a1474453a345e970c13393e3767ac36171d1a93e555a6ea84b406e06cbd52c7a31319cca3
Homepage: https://cran.r-project.org/package=OOI
Description: CRAN Package 'OOI' (Outside Option Index)
 Calculates the Outside Option Index proposed by Caldwell and Danieli (2018)
 <https://drive.google.com/file/d/1j-uwD19S4gqgXIXeYch9jGBCaDhWZlRQ/view>.
 This index uses the cross- sectional concentration of similar workers across
 job types to quantify the availability of outside options as a function of
 workers’ characteristics (e.g. commuting costs, preferences, and skills.)

Package: r-cran-oolong
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keyatm, r-cran-purrr, r-cran-tibble, r-cran-shiny, r-cran-digest, r-cran-r6, r-cran-irr, r-cran-ggplot2, r-cran-cowplot, r-cran-cli
Suggests: r-cran-testthat, r-cran-text2vec, r-cran-btm, r-cran-dplyr, r-cran-topicmodels, r-cran-stm, r-cran-seededlda, r-cran-covr, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-fs, r-cran-quanteda.textmodels, r-cran-shinytest
Filename: pool/dists/focal/main/r-cran-oolong_0.4.1-1.ca2004.1_all.deb
Size: 3469488
MD5sum: 1f92425f2ee6bf04e496abac90a60820
SHA1: 6fc6495334cbf4e9bfa576d2a333afa8009fa8c2
SHA256: 4187ec15bc858afaeeba2105f450c233c0f2d3d6d682ffad8d25126a91c2a851
SHA512: 63050e4a4f29b155eb7f083c005dccd90107e1d44862542db5b136f3f8a27a0dc8bdc3b857961f9b9821a775564632416e79feb7f23f02e714f39dbea99ae5ac
Homepage: https://cran.r-project.org/package=oolong
Description: CRAN Package 'oolong' (Create Validation Tests for Automated Content Analysis)
 Intended to create standard human-in-the-loop validity tests for typical
 automated content analysis such as topic modeling and dictionary-based
 methods. This package offers a standard workflow with functions to prepare,
 administer and evaluate a human-in-the-loop validity test. This package
 provides functions for validating topic models using word intrusion, topic
 intrusion (Chang et al. 2009,
 <https://papers.nips.cc/paper/3700-reading-tea-leaves-how-humans-interpret-topic-models>)
 and word set intrusion (Ying et al. 2021) <doi:10.1017/pan.2021.33> tests.
 This package also provides functions for generating gold-standard data which
 are useful for validating dictionary-based methods. The default settings of
 all generated tests match those suggested in Chang et al. (2009) and Song et
 al. (2020) <doi:10.1080/10584609.2020.1723752>.

Package: r-cran-oomisc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oomisc_1.2-1.ca2004.1_all.deb
Size: 43340
MD5sum: 9c1fb210f8b53b7e63f63423293af6b4
SHA1: aed18812eb5c44a6f0d4b7d63700cdaada42bd39
SHA256: 8cd0e7f7997a1d6be55aa0f881d88b8b99dc2f7c2577755a8f9c23a65ecc1604
SHA512: b95d0de2b2b82f5a775476611492006bfec18ed31d4bad878288f3281079f30681b5caae60abfabe17b9a570ad846ccf6400af50ceaa459bec86665194869e06
Homepage: https://cran.r-project.org/package=OOmisc
Description: CRAN Package 'OOmisc' (Ozgur-Ozlem Miscellaneous)
 Includes miscellaneous functions.

Package: r-cran-oompabase
Architecture: all
Version: 3.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-oompabase_3.2.10-1.ca2004.1_all.deb
Size: 264512
MD5sum: 81d92b9d63271ae7834df2e23dae9f3b
SHA1: b2275f71beb0dec1083449f45c89d1b3c7ccc64b
SHA256: feb23bc5aac3e35bcb75b16a96b6885044357b7741122e9c4c3286aa25deb7d3
SHA512: 92df65852c821e4c41b0782fd2c692fbc268bd2eac8e19e7946b786b75d73ca0fed0aabb8462ef2d3418abd2fb3ebe2dda2331586c6cceb58ea77370b7f39256
Homepage: https://cran.r-project.org/package=oompaBase
Description: CRAN Package 'oompaBase' (Class Unions, Matrix Operations, and Color Schemes for OOMPA)
 Provides the class unions that must be preloaded in order for the basic
 tools in the OOMPA (Object-Oriented Microarray and Proteomics Analysis)
 project to be defined and loaded.  It also includes vectorized operations
 for row-by-row means, variances, and t-tests. Finally, it provides new color
 schemes.  Details on the packages in the OOMPA project can be found at
 <http://oompa.r-forge.r-project.org/>.

Package: r-cran-oompadata
Architecture: all
Version: 3.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2220
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oompadata_3.1.5-1.ca2004.1_all.deb
Size: 2244092
MD5sum: a1a95dfee1c4624251418287c847f10e
SHA1: 5b0fbc9e226b8734984a7b9856662970183e870f
SHA256: b52421c0676a3bc126a41b3b221ee3ec8265cb41f79223013c4b0ba8e899f0a7
SHA512: e854ae828f14b9ad1c82ecb9b146add83a2aa883a03695a54f3c6172dbee4f9e6e3f84a1d87bafaf701d81eed07d20e2f3b34432fe270d444790f62a678861cb
Homepage: https://cran.r-project.org/package=oompaData
Description: CRAN Package 'oompaData' (Data to Illustrate OOMPA Algorithms)
 This is a data-only package to provide example data for other packages that
 are part of the "Object-Oriented Microrray and Proteomics Analysis" suite of
 packages. These are described in more detail at the package URL.

Package: r-cran-ooplah
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-devtools, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ooplah_0.2.0-1.ca2004.1_all.deb
Size: 280808
MD5sum: 971387f870fc66dd4225889c6aca63f6
SHA1: cd44bab01a49bc4598d8c252c339fa0811270473
SHA256: 3ce3f0c026b8697854a1d5d6abd503c2f9f3073ab2100b272f707458756956b7
SHA512: 423ddaf3c132ff1cba4f42715263bd76e2fc5987978f9826225b889fb29cdce5b4a96c47ec1b8e5d2a7cc71d6ce257a58e1765b99839f581b11483dbcad817e1
Homepage: https://cran.r-project.org/package=ooplah
Description: CRAN Package 'ooplah' (Helper Functions for Class Object-Oriented Programming)
 Helper functions for coding object-oriented programming with a focus on R6.
 Includes functions for assertions and testing, looping, and re-usable design
 patterns including Abstract and Decorator classes.

Package: r-cran-oor
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oor_0.1.4-1.ca2004.1_all.deb
Size: 60848
MD5sum: 1adf1a45d687ad26d4cb51f81ae63ea8
SHA1: 71714601221ba2bd65abac8373e5c0652ee63ba2
SHA256: 0bf228ae46b861585d14d7d04309b9162a72458c537045da4e453aabb3a0fe84
SHA512: 2b86ec53f0a3ecf0547a04627b63e9ab65e5fb459d1e922fbb3447c55def4ada0a8a550ecfa673412e70623dea0d0a99a272627fea50408d2116b43206be6b47
Homepage: https://cran.r-project.org/package=OOR
Description: CRAN Package 'OOR' (Optimistic Optimization in R)
 Implementation of optimistic optimization methods for global optimization of
 deterministic or stochastic functions. The algorithms feature guarantees of
 the convergence to a global optimum. They require minimal assumptions on the
 (only local) smoothness, where the smoothness parameter does not need to be
 known. They are expected to be useful for the most difficult functions when
 we have no information on smoothness and the gradients are unknown or do not
 exist. Due to the weak assumptions, however, they can be mostly effective
 only in small dimensions, for example, for hyperparameter tuning.

Package: r-cran-oos
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-forecast, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-glmnet, r-cran-imputets, r-cran-lmtest, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-sandwich, r-cran-tidyr, r-cran-vars, r-cran-xts, r-cran-zoo
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-oos_1.0.0-1.ca2004.1_all.deb
Size: 114676
MD5sum: b706df8a0ab11ddd179bdc6091fda0b1
SHA1: a938483f336b75c73e25083e6c8cba97ea683061
SHA256: d659f885a5723227d56a0e21856610f3cde401b4be0c280caa79018c82cfcda7
SHA512: 46f3ef92d622e6a090aa8248b84117fb09723908cb66f501c9630f06e9fd5b3428d6a14a16befedeacaf4c539eebbf9dd8750656f12e89b78ad5d33249c64fc2
Homepage: https://cran.r-project.org/package=OOS
Description: CRAN Package 'OOS' (Out-of-Sample Time Series Forecasting)
 A comprehensive and cohesive API for the out-of-sample forecasting workflow:
 data preparation, forecasting - including both traditional econometric time
 series models and modern machine learning techniques - forecast combination,
 model and error analysis, and forecast visualization.

Package: r-cran-oosse
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biocparallel, r-cran-matrix, r-cran-doparallel, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-randomforest, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-oosse_1.0.11-1.ca2004.1_all.deb
Size: 536104
MD5sum: 652aa934db6b998856bd1e320e54aa37
SHA1: fa2e92aaf9c076c6e3e26a4592e16841af1fb2d2
SHA256: ab2bbd669b646159958580ff12af299ab426cc1d60bf591ffda8d117ac399be5
SHA512: 5ca62c611e6c32555320b84f68921312113f3fdaa7da578a33b63d65def6124b09acfb1351784b5de13bad56f380009b10679853e6bf3f726728cc5e713f34ca
Homepage: https://cran.r-project.org/package=oosse
Description: CRAN Package 'oosse' (Out-of-Sample R² with Standard Error Estimation)
 Estimates out-of-sample R² through bootstrap or cross-validation as a
 measure of predictive performance. In addition, a standard error for this
 point estimate is provided, and confidence intervals are constructed.

Package: r-cran-oottest
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xtable, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-oottest_0.9.1-1.ca2004.1_all.deb
Size: 52088
MD5sum: a12faa8ae4a346481367d7eb4b40ba03
SHA1: d625353c8d709899ae83d2f21629915f8681823e
SHA256: bbd17519771c807abff9b4ea06a43115682facaca37683203b5d38bec0161e15
SHA512: f927ed5477d2e9f224949a322d7dfa3fc5ebc234de6469fe24e6ca867ff6c7f94b45a0cca3dd50aaed242a357f1ab280dde53030e8cca8fe3bf3dc6c477cbaa8
Homepage: https://cran.r-project.org/package=oottest
Description: CRAN Package 'oottest' (Out-of-Treatment Testing)
 Implements the out-of-treatment testing from Kuelpmann and Kuzmics (2020)
 <doi:10.2139/ssrn.3441675> based on the Vuong Test introduced in Vuong
 (1989) <doi:10.2307/1912557>.  Out-of treatment testing allows for a direct,
 pairwise likelihood comparison of theories, calibrated with pre-existing
 data.

Package: r-cran-opalr
Architecture: all
Version: 3.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1015
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readr, r-cran-mime, r-cran-progress, r-cran-labelled, r-cran-tibble
Suggests: r-cran-e1071, r-cran-knitr, r-cran-knitrbootstrap, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opalr_3.4.2-1.ca2004.1_all.deb
Size: 751504
MD5sum: d6ce72eb60ebb60684906c835e4faefa
SHA1: a70d3571adaa12575ae7e44f3f85649eee15d7f3
SHA256: de859ce8b7345e1cd6cb7700b4de7d011d0306c18832d578dca2ebfd8a0b0cc6
SHA512: fa1459f42a24a796ca62623c448c39305a6dce8daf48cae200819ccc223e06cf4bc5f13f0e250aee3ab6ba95f859b23880a3cb3d7e9b9e02069ae4283fb95ac7
Homepage: https://cran.r-project.org/package=opalr
Description: CRAN Package 'opalr' ('Opal' Data Repository Client and 'DataSHIELD' Utils)
 Data integration Web application for biobanks by 'OBiBa'. 'Opal' is the core
 database application for biobanks. Participant data, once collected from any
 data source, must be integrated and stored in a central data repository
 under a uniform model. 'Opal' is such a central repository.  It can import,
 process, validate, query, analyze, report, and export data.  'Opal' is
 typically used in a research center to analyze the data acquired at
 assessment centres. Its ultimate purpose is to achieve seamless data-sharing
 among biobanks. This 'Opal' client allows to interact with 'Opal' web
 services and to perform operations on the R server side. 'DataSHIELD'
 administration tools are also provided.

Package: r-cran-opasnetutils
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-rcurl, r-cran-reshape2, r-cran-triangle, r-cran-httprequest, r-cran-digest, r-cran-xtable, r-cran-ggplot2, r-cran-rgdal, r-cran-sp, r-cran-plyr, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-opasnetutils_1.3-1.ca2004.1_all.deb
Size: 422540
MD5sum: b4d74a559671f5a68c8c08ebe4b26c28
SHA1: c91d9d29728ff699fe12c7e0e837ac56be925f9c
SHA256: 81fd8964e558196909c85b6dd71030b4f4d745ceb3e2e227cc1d2f97347c9d59
SHA512: d8deb3d6aaae0ca82cde0d070487b7baf7c7adf6cbfc39f01e8eb37b474748832b8f658b82d516ee22cd25b61dba75660e0615f3c46e10578a9233eb7f573100
Homepage: https://cran.r-project.org/package=OpasnetUtils
Description: CRAN Package 'OpasnetUtils' (Opasnet Modelling Environment Utility Functions)
 Contains tools for open assessment and modelling in Opasnet, a wiki-based
 web site and workspace for societal decision making (see
 <http://en.opasnet.org/w/Main_Page> for more information).  The core
 principle of the workspace is maximal openness and modularity.  Variables
 are defined on public wiki pages using wiki inputs/tables, databases and R
 code. This package provides the functionality to download and use these
 variables. It also contains health impact assessment tools such as spatial
 methods for exposure modelling.

Package: r-cran-opc
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opc_0.0.2-1.ca2004.1_all.deb
Size: 587388
MD5sum: ab1315e7563ef10355cff3fee8aa45f1
SHA1: 645ff915e261f1d344b8629c31b0269d146a67d2
SHA256: 3717a29a2ec41add6458bcb2f90894427364c2b372bdc35b5e95a20e66c8abbc
SHA512: f10780deeb9ff3b9fa32194b04c601df0441c9143e50ec78529350758eb38d2df1cefa91f77423792ebaf1293a8d4bd114e7dce69a24e01e3c6b758015e4c100
Homepage: https://cran.r-project.org/package=OPC
Description: CRAN Package 'OPC' (The Online Principal Component Estimation Method)
 The online principal component method can process the online data set. The
 philosophy of the package is described in Guo G. (2018)
 <doi:10.1080/10485252.2018.1531130>.

Package: r-cran-opcreg
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opcreg_3.0.0-1.ca2004.1_all.deb
Size: 127868
MD5sum: c922f0781de82725cc4a83cefe65a9d6
SHA1: 501f87616163de4196ddc319fc26aaf7f12cde53
SHA256: 0de36b31188df74a8a9c0e6e2891ec92f54a192850f2e3e3ac6a41dbd5a6bf3e
SHA512: 24080946b36f21498e2dfe69911a0a5aaecdcf7d8e0fd6b27f99a72f9567c4d075cbe2e3b2916116b8e069e92d4723a97a119895ded1975abe27306db6ac0118
Homepage: https://cran.r-project.org/package=OPCreg
Description: CRAN Package 'OPCreg' (Online Principal Component Regression for Online Datasets)
 The online principal component regression method can process the online data
 set. 'OPCreg' implements the online principal component regression method,
 which is specifically designed to process online datasets efficiently. This
 method is particularly useful for handling large-scale, streaming data where
 traditional batch processing methods may be computationally infeasible.The
 philosophy of the package is described in 'Guo' (2025)
 <doi:10.1016/j.physa.2024.130308>.

Package: r-cran-opdisdownsampling
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3716
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-catools, r-cran-pracma, r-cran-twosamples, r-cran-doparallel, r-cran-pbmcapply, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opdisdownsampling_1.0.1-1.ca2004.1_all.deb
Size: 3465472
MD5sum: a0797fe36b6b188799b0a3eeef28d8e3
SHA1: 00cba252d821e7bf7265d2938ff42e1f2c75e2b2
SHA256: 325bf7a9775dbcf618a2d3f9b7e39ad7198b36d99287f2973d66a818c2337fae
SHA512: fa5accd198b02a940f535749834feaf55c1d927bd3bb644a328a062ec7b13a8a98171bb1b136118ad3032e03bc2fcda5a05a8784f7009aaa3e7c8e0724422eaf
Homepage: https://cran.r-project.org/package=opdisDownsampling
Description: CRAN Package 'opdisDownsampling' (Optimal Distribution Preserving Down-Sampling of Bio-MedicalData)
 An optimized method for distribution-preserving class-proportional
 down-sampling of bio-medical data.

Package: r-cran-opdoe
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gmp, r-cran-mvtnorm, r-cran-orthopolynom, r-cran-nlme, r-cran-crossdes, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-opdoe_1.0-10-1.ca2004.1_all.deb
Size: 288212
MD5sum: 02ab65058d2cf75bfe91cce86733ed0c
SHA1: 4279d8c5ded71707cf508fad37156f9d66aa714c
SHA256: 7d90974e1a287acb906479a8f6fc89b731824a39cae617babf3e9f0067938931
SHA512: 50d4187918f738f64dd93f99b3e4a375381eb0cfc1cab8112fed06b79745d7f8a9f5e2fa575a11d8622909d1393c325b68fb38fd0c5b0f2c951a6ba66455a7a8
Homepage: https://cran.r-project.org/package=OPDOE
Description: CRAN Package 'OPDOE' (Optimal Design of Experiments)
 Several function related to Experimental Design are implemented here, see
 "Optimal Experimental Design with R" by Rasch D. et. al (ISBN
 9781439816974).

Package: r-cran-openadds
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1483
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-readr, r-cran-tibble, r-cran-xml2, r-cran-maptools, r-cran-rappdirs
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-leaflet, r-cran-covr
Filename: pool/dists/focal/main/r-cran-openadds_0.2.0-1.ca2004.1_all.deb
Size: 1482984
MD5sum: f27c1da334e765fde491ef9a03697a0a
SHA1: 7844df722bee794b16aa1b7545e0f84eea640345
SHA256: ec16a8ef60c5b29824462995547b5d342b6d69a7b08420cc8b7a2360d4fb0fe1
SHA512: effc5a6c7b880e552c2467c9df0118f61e1186bb1fb6385d40775de9d03a71708b47349108418937a2528ad906d398c93de3fee360a32b8fbd9497ff47d292bd
Homepage: https://cran.r-project.org/package=openadds
Description: CRAN Package 'openadds' (Client to Access 'Openaddresses' Data)
 'Openaddresses' (<https://openaddresses.io/>) client. Search, fetch data,
 and combine 'datasets'. Outputs are easy to visualize with base plots,
 'ggplot2', or 'leaflet'.

Package: r-cran-openai
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2648
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-purrr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-openai_0.4.1-1.ca2004.1_all.deb
Size: 901768
MD5sum: f92283274adc7c81428d2a9829255b25
SHA1: ac8dd064858d1e750756bd33bc5ee59a469ce7db
SHA256: 026ede5a8dac119839c6566ae2c408f2c07778982824eb2269a2cfa28a0baa72
SHA512: fdbb4a68341c09edac009602675cc3da65d8e9f8562b4f9d782b0f5cccecff90fc1fc9c82b07eda84bd4fb6d15c1941120a9f143fd4d33f5c1d97459b73e8055
Homepage: https://cran.r-project.org/package=openai
Description: CRAN Package 'openai' (R Wrapper for OpenAI API)
 An R wrapper of OpenAI API endpoints (see
 <https://platform.openai.com/docs/introduction> for details). This package
 covers Models, Completions, Chat, Edits, Images, Embeddings, Audio, Files,
 Fine-tunes, Moderations, and legacy Engines endpoints.

Package: r-cran-openairmaps
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggspatial, r-cran-ggtext, r-cran-leaflet, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-mgcv, r-cran-openair, r-cran-prettymapr, r-cran-purrr, r-cran-rlang, r-cran-rosm, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-worldmet
Filename: pool/dists/focal/main/r-cran-openairmaps_0.9.1-1.ca2004.1_all.deb
Size: 1019044
MD5sum: dfdb42579137cfae47bfb57d61c61703
SHA1: e752ca849deba3e3896838e0ec083e81f5a396a9
SHA256: 036bed55331979f397ead0383797f53ff70a7b3c5884076f2b9aad09fe38d4e3
SHA512: e9c19dde062ed94ce7a05c313fdf1517b6e4172b51f067cea05b9fcfaa75811987a62b11986868d892607cf3b72843593636ba7e04307cc33b72c9288cc7e607
Homepage: https://cran.r-project.org/package=openairmaps
Description: CRAN Package 'openairmaps' (Create Maps of Air Pollution Data)
 Combine the air quality data analysis methods of 'openair' with the
 JavaScript 'Leaflet' (<https://leafletjs.com/>) library.  Functionality
 includes plotting site maps, "directional analysis" figures such as polar
 plots, and air mass trajectories.

Package: r-cran-openaistream
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2348
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr2, r-cran-r6, r-cran-iterators, r-cran-curl
Suggests: r-cran-png, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-openaistream_0.3.0-1.ca2004.1_all.deb
Size: 1597024
MD5sum: 6c1865ed103757dfe9ae484299aa24b6
SHA1: f50b1be8bb5ab15f700731f4f2c7665a95e5b84c
SHA256: 15b237a97da463825b292481129a5ee528da558efd52cafe1e639b771687b704
SHA512: 77236604644f5c8311b9cabbcfb91f2cab8a42025fa61bc795793a35674268618331bf5d627278dac0a5fc0d36951c94f60a487103e2f022ccd4cf704453099f
Homepage: https://cran.r-project.org/package=openaistream
Description: CRAN Package 'openaistream' (Streaming Capabilities for 'OpenAI API' Interactions)
 Based on the 'httr2' framework, the 'OpenAI' interface supports streaming
 calls and model training.  For more details on the API methods implemented,
 see the 'OpenAI' platform documentation at
 <https://platform.openai.com/docs/api-reference>.

Package: r-cran-openalexr
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-progress, r-cran-rlang, r-cran-tibble
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-purrr, r-cran-ggplot2, r-cran-coro, r-cran-rentrez, r-cran-rrapply, r-cran-covr
Filename: pool/dists/focal/main/r-cran-openalexr_2.0.1-1.ca2004.1_all.deb
Size: 170224
MD5sum: fd0c2de6666fae7ff4ede818b9383a06
SHA1: d9a6cdf82be81c955ad06a6732e93b264b1d6939
SHA256: 25d56f8aca7e0b3487b0f7fd53ff4c74a430ec82a19b37f4bd333e097f6f2c9c
SHA512: d6804ef9a6ec311db1f597574c19039340294c2911b90aad12c6f20fa0f34e3f78fac0684a39b394e32773181bc3b35ee8e0748189ee8c6c7473ac650cc3a8a2
Homepage: https://cran.r-project.org/package=openalexR
Description: CRAN Package 'openalexR' (Getting Bibliographic Records from 'OpenAlex' Database Using'DSL' API)
 A set of tools to extract bibliographic content from 'OpenAlex' database
 using API <https://docs.openalex.org>.

Package: r-cran-openappr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rpostgres, r-cran-rsqlite, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-openappr_0.2.0-1.ca2004.1_all.deb
Size: 35424
MD5sum: 48b1f190febf5b26297681f13e04d5e3
SHA1: 66bcad4853193d1b6ad35601145fff080269b513
SHA256: 844653560298f22d06a2c051a602f72b993ef5cc445d0d40a61d441c1f19d3a6
SHA512: b800e8e5ea16cb8c55bed081d4a9363a2d8cb5392dab1d8fdf69d7f88d5f5146463f1fbf003eb3ce1fa451a06783e659c1b103905d92b774163e4749f922f3e4
Homepage: https://cran.r-project.org/package=openappr
Description: CRAN Package 'openappr' (Retrieve App Data from 'OpenAppBuilder')
 Provides an interface to connect R with the
 <https://github.com/IDEMSInternational/open-app-builder> 'OpenAppBuilder'
 platform, enabling users to retrieve and work with user and notification
 data for analysis and processing. It is designed for developers and analysts
 to seamlessly integrate data from 'OpenAppBuilder' into R workflows via a
 'Postgres' database connection, allowing direct querying and import of app
 data into R.

Package: r-cran-openbanker
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-httpcode, r-cran-jsonlite, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-glue
Suggests: r-cran-testthat, r-cran-lintr, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-openbanker_0.1.1-1.ca2004.1_all.deb
Size: 80476
MD5sum: 89013b221a17acc2634850371df2594d
SHA1: 9ed82522c626d9d69d8598b4526e14eba82dc2b1
SHA256: a971199090d1bd570e7c617da60792704584cb967415eda5ee8b81e32d75d0db
SHA512: 12ea8e9a90776d4bc906897b0df268b05f1f76ed45453535e938c929488ed0e70111dcf357951297607a40c1f86710d295916f6b314dc6d9ea1a5511c2b3e4d2
Homepage: https://cran.r-project.org/package=openbankeR
Description: CRAN Package 'openbankeR' (R Client for Querying the UK 'Open Banking' ('Open Data') API)
 Creates a client with queries for the UK 'Open Banking' ('Open Data') API.

Package: r-cran-openbard
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-openbard_0.0.1-1.ca2004.1_all.deb
Size: 632792
MD5sum: ac2ef2838c0c33b558e24098e87d79fe
SHA1: a0cc983bebf7f9aea65199879e143d1d07772486
SHA256: 2356100062446ed99d6c76d2e7ff79abbe252be65ba8ae5a304865f01405261e
SHA512: 1844e2343b4f036613d7576d4a9676edf4dc70111276dbf3bd36a9881b5a9764459b0c6baea8406b4b63d5d1da82b639b205a839dbdeb10f24ccd748084dbadd
Homepage: https://cran.r-project.org/package=OpenBARD
Description: CRAN Package 'OpenBARD' (Open British Arboricultural Record Dataset)
 Data used in compiling the Handbook of UK Urban Tree Allometric Equations
 and Size Characteristics (Fennel 2024). The data include measurements of
 height, crown radius and diameter at breast height (DBH) for UK urban trees.
 For more details see Fennell (2024) Handbook of UK Urban Tree Allometric
 Equations and Size Characteristics (Version 1.4).
 <doi:10.13140/RG.2.2.28745.04961>.

Package: r-cran-openblender
Architecture: all
Version: 0.5.81-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-openblender_0.5.81-1.ca2004.1_all.deb
Size: 42424
MD5sum: 9148607d9554d97146d63251dafa15f9
SHA1: fe52228be3654ef47b5e5ec83faf86615e01a3b9
SHA256: fb6a9b9fc5442684cabb9d0147b4765a4ffb3c1bd62a3a882091881dda547aa4
SHA512: 53acd87513546e7b05b4b0abcc8b4f3fd7b46869e2093e27f815437b89f0b6c713fa2ef38bd4044c37634b78760e1211d232a54a8f69ac5b62c3b86e1f387486
Homepage: https://cran.r-project.org/package=openblender
Description: CRAN Package 'openblender' (Request <https://openblender.io> API Services)
 Interface to make HTTP requests to 'OpenBlender' API services. Go to
 <https://openblender.io> for more information.

Package: r-cran-opencage
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-dplyr, r-cran-lifecycle, r-cran-jsonlite, r-cran-memoise, r-cran-progress, r-cran-purrr, r-cran-ratelimitr, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opencage_0.2.2-1.ca2004.1_all.deb
Size: 143816
MD5sum: 872d1596b9f539268f4bbc3e9eb251fc
SHA1: b0105b01bbd90c92cba982aed3618e88e9ad97be
SHA256: a6503b4b1924a51995ff705318fd6304c70dffa6afff86976c37eb72c464d009
SHA512: fbbeffdcc364e280fc7c83c655039aba8f34934b2f3971386c1b03debd874b78e17925d15be09131a1127ac3cfab658cbaa34b209c4a233d657284b46a030b3f
Homepage: https://cran.r-project.org/package=opencage
Description: CRAN Package 'opencage' (Geocode with the OpenCage API)
 Geocode with the OpenCage API, either from place name to longitude and
 latitude (forward geocoding) or from longitude and latitude to the name and
 address of a location (reverse geocoding), see <https://opencagedata.com/>.

Package: r-cran-opencpu
Architecture: all
Version: 2.2.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evaluate, r-cran-httpuv, r-cran-knitr, r-cran-jsonlite, r-cran-remotes, r-cran-sys, r-cran-webutils, r-cran-curl, r-cran-rappdirs, r-cran-rlang, r-cran-vctrs, r-cran-zip, r-cran-mime, r-cran-protolite, r-cran-brew, r-cran-openssl
Suggests: r-cran-arrow, r-cran-unix, r-cran-haven, r-cran-pander, r-cran-r.rsp, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-opencpu_2.2.14-1.ca2004.1_all.deb
Size: 521796
MD5sum: 354a788468de6bd6e7faf98d40e4a513
SHA1: ebceed4dd23fc260e5b6cb582e681e9bb0ca8619
SHA256: c76316a6de237043182553927b07f7f7586dfe1158cdbf03681cde78b3db8109
SHA512: e0e98323189727460416b9bfd3502ec06e281a680998e89ffa29054b6af78569b019b38ddc186817227edacd4f71a9ec8ef96d7930a5046f0d30e244231e1b07
Homepage: https://cran.r-project.org/package=opencpu
Description: CRAN Package 'opencpu' (Producing and Reproducing Results)
 A system for embedded scientific computing and reproducible research with R.
 The OpenCPU server exposes a simple but powerful HTTP api for RPC and data
 interchange with R. This provides a reliable and scalable foundation for
 statistical services or building R web applications. The OpenCPU server runs
 either as a single-user development server within the interactive R session,
 or as a multi-user Linux stack based on Apache2.  The entire system is fully
 open source and permissively licensed. The OpenCPU website has detailed
 documentation and example apps.

Package: r-cran-opendataformat
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-zip, r-cran-magrittr, r-cran-xml2, r-cran-data.table, r-cran-tibble, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-islr, r-cran-dplyr, r-cran-haven
Filename: pool/dists/focal/main/r-cran-opendataformat_2.2.0-1.ca2004.1_all.deb
Size: 119044
MD5sum: 998e8a073f8c5d751d1f57900e25a2a0
SHA1: f9d424740ffd55d067651c3df44d184375843ebf
SHA256: de7d9380fc9a012f841c02572496b6377edac5c91117aa8eb11c4152f3a15e56
SHA512: 4fc271a4c8edcaf86310f02bf0a53df4df5a4c8db83b28ca26148b6a0bca5577ae65e07049ee7d1cccdbea77514b1dae8b397ebec5cc308b1f3565006fdfd6c4
Homepage: https://cran.r-project.org/package=opendataformat
Description: CRAN Package 'opendataformat' (Reading and Writing Open Data Format Files)
 The Open Data Format (ODF) is a new, non-proprietary, multilingual, metadata
 enriched, and zip-compressed data format with metadata structured in the
 Data Documentation Initiative (DDI) Codebook standard. This package allows
 reading and writing of data files in the Open Data Format (ODF) in R, and
 displaying metadata in different languages. For further information on the
 Open Data Format, see <https://opendataformat.github.io/>.

Package: r-cran-opendatatoronto
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ckanr, r-cran-magrittr, r-cran-readxl, r-cran-sf, r-cran-tibble, r-cran-xml2, r-cran-curl
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggiraph, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-tidyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opendatatoronto_0.1.6-1.ca2004.1_all.deb
Size: 71232
MD5sum: 8b37c086dee717b21293f72a0026ee98
SHA1: b4891fe52141f49f13182d885006ed9b4aed24a9
SHA256: 7deac69b0f4360b356d88538875e96b1e3c52d84a9ffb77d4e8303a60dd27e55
SHA512: bd64e44a3ebf775ff8380e69ade74312a665b97ae60d9cf8d71440139250eb6a30d8a88660fdc46e008582957b59b73d2401b196ff61a800eddcd33862782136
Homepage: https://cran.r-project.org/package=opendatatoronto
Description: CRAN Package 'opendatatoronto' (Access the City of Toronto Open Data Portal)
 Access data from the "City of Toronto Open Data Portal"
 (<https://open.toronto.ca>) directly from R.

Package: r-cran-opendotar
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-dplyr, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-opendotar_0.1.4-1.ca2004.1_all.deb
Size: 21356
MD5sum: be9d47ea90c1b4967d4d6b1bdd256f9f
SHA1: 6790848808fc0544b8d16ab6f121f9b204dee5fd
SHA256: 11318473fe82daf6cdc085045474bc06edd3ad6c2221c8a7ce89e8a00bdc9ca1
SHA512: 17fd89567c2944c7e169c2d442e23aa17b5118bf7ae64e947bd48a18558b9a965a58e08ae0a47c95ac7dbd3563f86c2e8f6d5fc65f9dbd0ff4492f1682f875ca
Homepage: https://cran.r-project.org/package=opendotaR
Description: CRAN Package 'opendotaR' (Interface for OpenDota API)
 Enables the usage of the OpenDota API from <https://www.opendota.com/>, get
 game lists, and download JSON's of parsed replays from the OpenDota API.
 Also has functionality to execute own code to extract the specific parts of
 the JSON file.

Package: r-cran-openebgm
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 721
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2
Suggests: r-cran-deoptim, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-openebgm_0.9.1-1.ca2004.1_all.deb
Size: 422868
MD5sum: 64bf2c86f51d870d32896d335dff13e7
SHA1: 046aa9367b67481c1670b3ef9653b24316383478
SHA256: b2bb3a23c88740160c8ebd67ddcb1db85fd78f3eec0f3b5612f020bfb9f67e07
SHA512: 708af0d22e3a76eb27a1481c3ce926b19c4f3d7ad6a9ca3f440575db24b1c0b3580aa8e28963cc336c362716ba8bc3acfeaefaa7743118f310ac073c465872b2
Homepage: https://cran.r-project.org/package=openEBGM
Description: CRAN Package 'openEBGM' (EBGM Disproportionality Scores for Adverse Event Data Mining)
 An implementation of DuMouchel's (1999) <doi:10.1080/00031305.1999.10474456>
 Bayesian data mining method for the market basket problem.  Calculates
 Empirical Bayes Geometric Mean (EBGM) and posterior quantile scores using
 the Gamma-Poisson Shrinker (GPS) model to find unusually large cell counts
 in large, sparse contingency tables. Can be used to find unusually high
 reporting rates of adverse events associated with products. In general, can
 be used to mine any database where the co-occurrence of two variables or
 items is of interest. Also calculates relative and proportional reporting
 ratios.  Builds on the work of the 'PhViD' package, from which much of the
 code is derived. Some of the added features include stratification to adjust
 for confounding variables and data squashing to improve computational
 efficiency.  Includes an implementation of the EM algorithm for
 hyperparameter estimation loosely derived from the 'mederrRank' package.

Package: r-cran-openeo
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2716
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr2, r-cran-r6, r-cran-lubridate, r-cran-base64enc, r-cran-sf, r-cran-irdisplay, r-cran-htmltools, r-cran-rlang
Suggests: r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-stars, r-cran-pkgdown, r-cran-rmarkdown, r-cran-kableextra, r-cran-dt, r-cran-terra, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-openeo_1.4.0-1.ca2004.1_all.deb
Size: 1732468
MD5sum: 57dac83db4f41601501592bd4bec058b
SHA1: 346df999527cec4c8589f697671714deb2e59a21
SHA256: f85a85eb0bc45e63221c2a4703ecdc4cf3dc4fdda23f9050902f4f6060b787ee
SHA512: 38783fac1902daed7e65dca1d0f7a3d210d66dd88c1f816e46e84d2b24eb7a2dc72b514cf09a39727e12892aca19c18acc5f1a205fc869cb33b475b61d7fe95c
Homepage: https://cran.r-project.org/package=openeo
Description: CRAN Package 'openeo' (Client Interface for 'openEO' Servers)
 Access data and processing functionalities of 'openEO' compliant back-ends
 in R.

Package: r-cran-openfda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-checkmate, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-openfda_0.1.0-1.ca2004.1_all.deb
Size: 57804
MD5sum: 62373b6192d880af44dbb283589fd86e
SHA1: 15b40524efbb45b97dcb116a45d95792031a71ad
SHA256: adda98513c4a173b00a21560c144f9a5d66e66f88c0be4113d52ffa81f684acd
SHA512: 0c24a4c86b363cf88a56c3bcfb0fe6beadb9d055ed471e7b6dc606827cfc2356e7efacc7e2a9e8765893760b17336b920113b6756284ec0ebdfd14486cfb651d
Homepage: https://cran.r-project.org/package=openFDA
Description: CRAN Package 'openFDA' ('openFDA' API)
 The 'openFDA' API facilitates access to Federal Drug Agency (FDA) data on
 drugs, devices, foodstuffs, tobacco, and more with 'httr2'. This package
 makes the API easily accessible, returning objects which the user can
 convert to JSON data and parse. Kass-Hout TA, Xu Z, Mohebbi M et al. (2016)
 <doi:10.1093/jamia/ocv153>.

Package: r-cran-opengraph
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rvest
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opengraph_0.0.2-1.ca2004.1_all.deb
Size: 43524
MD5sum: 4916052c26dde3d36bdbda447000092d
SHA1: cc858d5287b71389e64ce149c1331cbde01c3a9c
SHA256: 9406c0b0fd162bbde5695d1bc4044e6b7db33be8355042699c991a7642544e82
SHA512: 6f39257423728e6d5b267c38559040bc27f83309ac18542deab32bdc82d828ed5c6b2f4a6c82ce77ca2c81ea5ae9383227d13f17da7d40295a74ab1b90b0d3db
Homepage: https://cran.r-project.org/package=opengraph
Description: CRAN Package 'opengraph' (Process Metadata from the Open Graph Protocol)
 Social media sites often embed cards when links are shared, based on
 metadata in the 'Open Graph Protocol' (<https://ogp.me/>). This supports
 extracting that metadata from a website. It further allows for the creation
 of tags to add to a website to support the 'Open Graph Protocol' and
 provides a list of the standard tags and their required properties.

Package: r-cran-openhimr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-cran-devtools, r-cran-tidyverse, r-cran-seqinr, r-cran-splitstackshape, r-cran-entropy, r-cran-party, r-cran-e1071, r-cran-caret, r-cran-randomforest, r-cran-gbm, r-cran-stringr, r-cran-ftrcool, r-cran-dplyr, r-cran-rcurl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openhimr_0.1.1-1.ca2004.1_all.deb
Size: 43432
MD5sum: 90571dc2d375376a40e5df6decb14a19
SHA1: d8ca5275012a6b6228277716220f99e27001b458
SHA256: 75e3a9f6e7cbc6bba0308da47ca897e9f5784c2f3f26ef3088d05af710b69d5f
SHA512: eafe87298f95988c4101021a2d2f36b4bc11a427086d7bb9bd67ebd67bea68a610c77f392fb01d89dbd19d5be5d133494331f695fc7ea69f42b69fbddff6211b
Homepage: https://cran.r-project.org/package=OpEnHiMR
Description: CRAN Package 'OpEnHiMR' (Optimization Based Ensemble Model for Prediction of HistoneModifications in Rice)
 The comprehensive knowledge of epigenetic modifications in plants,
 encompassing histone modifications in regulating gene expression, is not
 completely ingrained. It is noteworthy that histone deacetylation and
 histone H3 lysine 27 trimethylation (H3K27me3) play a role in repressing
 transcription in eukaryotes. In contrast, histone acetylation (H3K9ac) and
 H3K4me3 have been inevitably linked to the stimulation of gene expression,
 which significantly influences plant development and plays a role in plant
 responses to biotic and abiotic stresses. To our knowledge this the first
 multiclass classifier for predicting histone modification in plants.
 <doi:10.1186/s12864-019-5489-4>.

Package: r-cran-openintro
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-airports, r-cran-cherryblossom, r-cran-usdata, r-cran-ggplot2, r-cran-readr, r-cran-rmarkdown, r-cran-tibble
Suggests: r-cran-broom, r-cran-dplyr, r-cran-forcats, r-cran-knitr, r-cran-lubridate, r-cran-scales, r-cran-testthat, r-cran-tidyr, r-cran-tidytext, r-cran-stringr, r-cran-maps
Filename: pool/dists/focal/main/r-cran-openintro_2.5.0-1.ca2004.1_all.deb
Size: 5586576
MD5sum: 20afdf406330b5549fd7c2f89fdb3a11
SHA1: eb10eecc38448b33b6684fe906481236cca8b075
SHA256: 4194239f827c243439a1b5e8c6530b411e332e47cd97093a8e4b36fec3cb0d09
SHA512: 507f4ddb00559682523c454afb86fcde8edab7433093bbe4e4d0b678a6c849c817aec07936dc297d4c9d9252111b56832730a59ab320a9ba504adeb3493857b4
Homepage: https://cran.r-project.org/package=openintro
Description: CRAN Package 'openintro' (Datasets and Supplemental Functions from 'OpenIntro' Textbooksand Labs)
 Supplemental functions and data for 'OpenIntro' resources, which includes
 open-source textbooks and resources for introductory statistics
 (<https://www.openintro.org/>). The package contains datasets used in our
 open-source textbooks along with custom plotting functions for reproducing
 book figures. Note that many functions and examples include color
 transparency; some plotting elements may not show up properly (or at all)
 when run in some versions of Windows operating system.

Package: r-cran-openland
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-gridextra, r-cran-circlize, r-cran-networkd3, r-cran-raster
Suggests: r-cran-tmap, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openland_1.0.3-1.ca2004.1_all.deb
Size: 1548688
MD5sum: d1d69567ff656342a3a16f4e3cbf12dc
SHA1: 00f54910b870c371d2327bc024cbd6540e5eea68
SHA256: 73ec07a0b5976a712f0ed91d733b1cde612ecf73c6d0e5b972f92f968e1c971c
SHA512: bdb3d5fd66bb3541511f5a0cae2f86cfa58fcc8c92ce375e8f7dd29e70b232e382ffcb3d7ee41d7f6897c3e4b4ba9f6254c582c5b293316403d3f62c94906e34
Homepage: https://cran.r-project.org/package=OpenLand
Description: CRAN Package 'OpenLand' (Quantitative Analysis and Visualization of LUCC)
 Tools for the analysis of land use and cover (LUC) time series. It includes
 support for loading spatiotemporal raster data and synthesized spatial
 plotting. Several LUC change (LUCC) metrics in regular or irregular time
 intervals can be extracted and visualized through one- and multistep sankey
 and chord diagrams. A complete intensity analysis according to Aldwaik and
 Pontius (2012) <doi:10.1016/j.landurbplan.2012.02.010> is implemented,
 including tools for the generation of standardized multilevel output
 graphics.

Package: r-cran-openmeteo
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-tibble, r-cran-tidyr, r-cran-tibblify, r-cran-dplyr, r-cran-yaml, r-cran-testthat
Suggests: r-cran-httptest
Filename: pool/dists/focal/main/r-cran-openmeteo_0.2.4-1.ca2004.1_all.deb
Size: 60204
MD5sum: 7103c7d89e0ae87a2caeeb83896e4553
SHA1: 37ade0aed1a974b62c15e8d3f992d98ae9f727e9
SHA256: 580a94531dad5e635505c142cdb7e6c49a2fb153bb33f19f64c95069a96a8c8b
SHA512: 3fc9bc79137919241be4e22f82026da8f4f123d1a0f67723ce707c951865d626054da9d93430e2c0690821c19c002b009e66572f70e49611e5bbbceec6d825bb
Homepage: https://cran.r-project.org/package=openmeteo
Description: CRAN Package 'openmeteo' (Retrieve Weather Data from the Open-Meteo API)
 A client for the Open-Meteo API that retrieves Open-Meteo weather data in a
 tidy format. No API key is required. The API specification is located at
 <https://open-meteo.com/en/docs>.

Package: r-cran-openmetrics
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-httr, r-cran-plumber, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openmetrics_0.3.0-1.ca2004.1_all.deb
Size: 244256
MD5sum: e6c4132d92f0413a00994b886c1e289c
SHA1: b97fa7e2444fb8eb9bdbc8eaacf8937a255b469f
SHA256: 69910de9b59ceab35b700b104d3c9dd9ed2a8c25cbab4c40fe40f6df8b1b5eba
SHA512: af00e1cc130dbd4ee7d6bd340e96379b63738a5bd816073bf84ca54652e3692e6d423e39c5446c3a34b38e3a579edc3a34876e70e865571e4a6ff71a612d495c
Homepage: https://cran.r-project.org/package=openmetrics
Description: CRAN Package 'openmetrics' (A 'Prometheus' Client for R Using the 'OpenMetrics' Format)
 Provides a client for the open-source monitoring and alerting toolkit,
 'Prometheus', that emits metrics in the 'OpenMetrics' format. Allows users
 to automatically instrument 'Plumber' and 'Shiny' applications, collect
 standard process metrics, as well as define custom counter, gauge, and
 histogram metrics of their own.

Package: r-cran-openmindat
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1594
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readxl, r-cran-stringi, r-cran-stringr, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openmindat_1.0.1-1.ca2004.1_all.deb
Size: 1467860
MD5sum: f620bb222eeb5660e7cd0211112142fb
SHA1: 8ae5f4b9de9c9a3c6826fe1e19cbf951ffb27673
SHA256: e77844ad07d63a23818d4efd0ed8561799830c6fc42b6a81c9d07397139d421e
SHA512: ad44a75cbfdfd19dc98285f22d9aac00c5bc0aaec523d8868044849ba2ebdb6186dfb05a9a382aa693113c252082ac8cfbb97c7b75b63f3a71fdc50e7b5c9b8f
Homepage: https://cran.r-project.org/package=OpenMindat
Description: CRAN Package 'OpenMindat' (Quickly Retrieve Datasets from the 'Mindat' API)
 Provide functions for users or machines to quickly and easily retrieve
 datasets from the 'mindat.org' API (<https://api.mindat.org/schema/redoc/>).

Package: r-cran-openml
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3841
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-backports, r-cran-bbmisc, r-cran-checkmate, r-cran-data.table, r-cran-digest, r-cran-httr, r-cran-stringi, r-cran-xml, r-cran-jsonlite, r-cran-memoise, r-cran-curl
Suggests: r-cran-testthat, r-cran-mlr, r-cran-paramhelpers, r-cran-randomforest, r-cran-rpart, r-cran-rweka, r-cran-xml2, r-cran-farff, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-rex
Filename: pool/dists/focal/main/r-cran-openml_1.12-1.ca2004.1_all.deb
Size: 1310200
MD5sum: d45a99936a82fb198ef69ebd32ff33ae
SHA1: 7eed2b234b0f8ced2674f1daf886c975022c85c7
SHA256: 0ec2d1d0b755fe3fd85c4dc63c4d5ca877c6d52e6fb0158c4245cde79696099c
SHA512: de362e23d9e890fd08c26151244614bb4c68f22d42ba9240005e30b58a013528ead5ea76f83be81a8713fb7b2d3a196019c5cce56b5e07f5dce0c210a622fd76
Homepage: https://cran.r-project.org/package=OpenML
Description: CRAN Package 'OpenML' (Open Machine Learning and Open Data Platform)
 We provide an R interface to 'OpenML.org' which is an online machine
 learning platform where researchers can access open data, download and
 upload data sets, share their machine learning tasks and experiments and
 organize them online to work and collaborate with other researchers.  The R
 interface allows to query for data sets with specific properties, and allows
 the downloading and uploading of data sets, tasks, flows and runs.  See
 <https://www.openml.org/guide/api> for more information.

Package: r-cran-openmse
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-msetool, r-cran-dlmtool, r-cran-samtool, r-cran-crayon, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-openmse_1.0.1-1.ca2004.1_all.deb
Size: 233664
MD5sum: 6a466c865bdb9410e3c34055bf7c192f
SHA1: 9362849038b55ce061e94bcb03066f9d23608a13
SHA256: 150253aff119bbed34364a26389a1f68c3f696d6d4f0479fb5d9b814b08c2e3e
SHA512: cda30c4769f0bb0dae3ca72285be5f714621d545d9a2f2bf41799a52833d1b2eef49c56d6647a2c10e6f021ec8b32805d91f42af97c326c62923a83c29695a05
Homepage: https://cran.r-project.org/package=openMSE
Description: CRAN Package 'openMSE' (Easily Install and Load the 'openMSE' Packages)
 The 'openMSE' package is designed for building operating models, doing
 simulation modelling and management strategy evaluation for fisheries.
 'openMSE' is an umbrella package for the 'MSEtool' (Management Strategy
 Evaluation toolkit), 'DLMtool' (Data-Limited Methods toolkit), and SAMtool
 (Stock Assessment Methods toolkit) packages. By loading and installing
 'openMSE', users have access to the full functionality contained within
 these packages. Learn more about 'openMSE' at <https://openmse.com/>.

Package: r-cran-opennlp
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlp, r-cran-opennlpdata, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-opennlp_0.2-7-1.ca2004.1_all.deb
Size: 47932
MD5sum: 2b13f70bd2b8f5337be79a51c94f2e0d
SHA1: c99d62541f024850954a425228d01dc546950f91
SHA256: c39d7e6cf30107f97c3b0cca6dbf026e107f38b69a0993eda56d473489a5404e
SHA512: d26ba4af2abd9221267749e233b4dca7f69abafbeef5866329b8dfffe6693d3a0f80da6b0beb71316fa926654eade2f61854bde865755bfdb78170272cfbab3a
Homepage: https://cran.r-project.org/package=openNLP
Description: CRAN Package 'openNLP' (Apache OpenNLP Tools Interface)
 An interface to the Apache OpenNLP tools (version 1.5.3).  The Apache
 OpenNLP library is a machine learning based toolkit for the processing of
 natural language text written in Java.  It supports the most common NLP
 tasks, such as tokenization, sentence segmentation, part-of-speech tagging,
 named entity extraction, chunking, parsing, and coreference resolution.  See
 <https://opennlp.apache.org/> for more information.

Package: r-cran-opennlpdata
Architecture: all
Version: 1.5.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7317
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-opennlpdata_1.5.3-5-1.ca2004.1_all.deb
Size: 7304840
MD5sum: d3437c7fd27c2e58c8b10aaf0355e76a
SHA1: 912597bff5e924eb0fe6d80cb2827b075dacd891
SHA256: 9d50b54091d63583fd2d9989f6d1f553902a625c2968b746cafbc1845f7b23ae
SHA512: db414a9506f96530ffb2d0a15312e7a9d68481abb9fbffc90e799fe51ca77a8089ca7014a99936c22c4c1e8184c672b7842891673c52e629723a56400fdf5be3
Homepage: https://cran.r-project.org/package=openNLPdata
Description: CRAN Package 'openNLPdata' (Apache OpenNLP Jars and Basic English Language Models)
 Apache OpenNLP jars and basic English language models.

Package: r-cran-openoise
Architecture: all
Version: 0.2-18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1636
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-lubridate, r-cran-ggplot2, r-cran-pracma
Suggests: r-cran-rmarkdown, r-cran-htmltools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openoise_0.2-18-1.ca2004.1_all.deb
Size: 1506096
MD5sum: 435f2efec6ca992a9da24e5a15aacf5d
SHA1: d208ea864224a5ec31428ab5cbf8eb9be358609f
SHA256: 88b342de208481a04bfccf2b56a2f8509b81d58983f70d1ca185ddd70a4ad657
SHA512: 14f3ea9dcb3487c1c9047973517fd3811034df186d3590edbd9a55490959b2c237d0bc79ef0c2a58af17a4d3973ad9b441c6ea9d6635eb06f24225ad9d794272
Homepage: https://cran.r-project.org/package=OpeNoise
Description: CRAN Package 'OpeNoise' (Environmental Noise Pollution Data Analysis)
 Provides analyse, interpret and understand noise pollution data. Data are
 typically regular time series measured with sound meter. The package is
 partially described in Fogola, Grasso, Masera and Scordino (2023,
 <DOI:10.61782/fa.2023.0063>).

Package: r-cran-openrange
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpostgresql, r-cran-dbi, r-cran-sf, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-maps, r-cran-tidyverse, r-cran-vcr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-openrange_0.0.1-1.ca2004.1_all.deb
Size: 64448
MD5sum: 6de4967c1319bfad9a6a0f2272a865ff
SHA1: 7d334b895381f15a55680a49bedde9b0450eb4f7
SHA256: 700a85d466e3fc45846b9b375eff6334b9bb34d69a31d7d79515b24e341f5c9e
SHA512: 227b22a25aeade7da15ad2e0a93036d33aca1644a9d2606b5dca84fcb42317d736d4d3e09e0b0376fc68aceb0ea59372af979212eb1449386d03428a4e67ad21
Homepage: https://cran.r-project.org/package=OpenRange
Description: CRAN Package 'OpenRange' (Code to Access Open Access Species Range Maps)
 Allows access to a proof-of-concept database containing Open Access species
 range models and relevant metadata. Access to the database is via both
 'PostgreSQL' connection and API
 <https://github.com/EnquistLab/Biendata-Frontend>, allowing diverse
 use-cases.

Package: r-cran-openrepgrid.ic
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2414
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-shinybs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinycssloaders, r-cran-shinyfeedback, r-cran-rintrojs, r-cran-formattable, r-cran-openxlsx, r-cran-dt, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-reshape2, r-cran-scales, r-cran-igraph, r-cran-tidyr, r-cran-withr, r-cran-rcolorbrewer, r-cran-tidyverse
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openrepgrid.ic_0.6.2-1.ca2004.1_all.deb
Size: 1847420
MD5sum: c89a17de47b5822349be6acf4c392bd8
SHA1: bf43a953f7640866c11c21fb992ec8e5c5094978
SHA256: 429c61d0891a0cc290ad77cf30c61f5eff5719036459dee7bc2c74814766f831
SHA512: c0ddb92a1e04cb85f021c89e03cc3c33a309b6b6d80acd18ea6d35844df275bf7e16f9549bf4a707eead2968ca04ec1650f4d23e1b559f7aa34d62a91f5623f7
Homepage: https://cran.r-project.org/package=OpenRepGrid.ic
Description: CRAN Package 'OpenRepGrid.ic' (Interpretive Clustering for Repertory Grids)
 Shiny UI to identify cliques of related constructs in repertory grid data.
 See Burr, King, & Heckmann (2020) <doi:10.1080/14780887.2020.1794088> for a
 description of the interpretive clustering (IC) method.

Package: r-cran-openrepgrid
Architecture: all
Version: 0.1.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-plyr, r-cran-stringr, r-cran-abind, r-cran-colorspace, r-cran-psych, r-cran-xml, r-cran-pvclust, r-cran-openxlsx, r-cran-tidyr, r-cran-dplyr, r-cran-scales, r-cran-igraph
Suggests: r-cran-rgl, r-cran-testthat, r-cran-covr, r-cran-styler, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-openrepgrid_0.1.17-1.ca2004.1_all.deb
Size: 1358204
MD5sum: 6f01579be43ab730809579a872f92eae
SHA1: a0e993cd68cbe62392cc963dca128a4800694e33
SHA256: cc01e50927028b19d5343a735882759905c5bc72942426bbeaa8ab596fcdbaee
SHA512: b056c33f435b6d57eea577f68f69f1218717d4ca04078aeeb369ea5c5be6d41f3d00cf5920e85e7991af29ad673910ed7064c9071583f05257d0aab5db126f1c
Homepage: https://cran.r-project.org/package=OpenRepGrid
Description: CRAN Package 'OpenRepGrid' (Tools to Analyze Repertory Grid Data)
 Analyze repertory grids, a qualitative-quantitative data collection
 technique devised by George A. Kelly in the 1950s. Today, grids are used
 across various domains ranging from clinical psychology to marketing. The
 package contains functions to quantitatively analyze and visualize repertory
 grid data (e.g. 'Fransella', 'Bell', & 'Bannister', 2004, ISBN:
 978-0-470-09080-0). The package is part of the The package is part of the
 <https://openrepgrid.org/> project.

Package: r-cran-openrouteservice
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2333
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geojsonsf, r-cran-httr, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-keyring, r-cran-leaflet, r-cran-v8, r-cran-xml2
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-googlepolylines, r-cran-lwgeom, r-cran-knitr, r-cran-mapview, r-cran-pkgdown, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sf, r-cran-testthat, r-cran-units
Filename: pool/dists/focal/main/r-cran-openrouteservice_0.6.2-1.ca2004.1_all.deb
Size: 811320
MD5sum: e00e73026ab7202599ccde6698222180
SHA1: 07227a59d1d8848a336fa8b40c827ddce96040a5
SHA256: cd90584ca596bb19e8d6d87b36410728e65ef24a06da8b037e765743943d64c6
SHA512: ee77dfad55099fd374fb0499d4c114bf13a5e55c00e02eb5ee98ff518fb9d79f0e7cdcf8a6cc46b53823251237d83a54142721ee40e59f001ce1b25d3c134e1e
Homepage: https://cran.r-project.org/package=openrouteservice
Description: CRAN Package 'openrouteservice' (An 'openrouteservice' API Client)
 The client streamlines access to the services provided by
 <https://api.openrouteservice.org>.  It allows you to painlessly query for
 directions, isochrones, time-distance matrices, geocoding, elevation, points
 of interest, and more.

Package: r-cran-openscoring
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-openscoring_1.0.4-1.ca2004.1_all.deb
Size: 23492
MD5sum: 8d69e8338aa7921fc791c238f25ad76a
SHA1: c68e7b99fb512600420046961d21251bffa3cf58
SHA256: af3adc8c6dd0756e912bc475c9f84b40d3646e6f84494df34b137dd030887523
SHA512: f84f45da8fbdebfeaa18b5b755e9df1d21301c27d73ead5ac22471752216027200b1417babb24c39762074ac54a72e495925b463922a067641730396a9e4a564
Homepage: https://cran.r-project.org/package=openscoring
Description: CRAN Package 'openscoring' ('Open Scoring' API Client)
 Creativity research involves the need to score open-ended problems.  Usually
 done by humans, automatic scoring using AI becomes more and more accurate.
 This package provides a simple interface to the 'Open Scoring' API
 <https://openscoring.du.edu/docs>, leading creativity scoring technology by
 Organiscak et al. (2023) <doi:10.1016/j.tsc.2023.101356>. With it, you can
 score your own data directly from an R script.

Package: r-cran-opensensmapr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1801
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-digest, r-cran-lazyeval, r-cran-readr, r-cran-purrr, r-cran-magrittr
Suggests: r-cran-maps, r-cran-maptools, r-cran-tibble, r-cran-rgeos, r-cran-sf, r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-units, r-cran-jsonlite, r-cran-ggplot2, r-cran-zoo, r-cran-lintr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-opensensmapr_0.6.0-1.ca2004.1_all.deb
Size: 689868
MD5sum: f1a5cc3af3db93039765f74f3281bc2b
SHA1: cd8cf9bbc0638dbd650e32d2fbbe658797f9f6e9
SHA256: 920750f99f7dbbb9b47ad0317f2421fb94ed47b56c55fcea4c9c99950b44bbc6
SHA512: 31c295b59211589f4fab0737fac041f6744b325aafdd2b94b5f499d3177d1ef8fb1b2981332b6228f49e181781eac8825eef1d9d6d67ad4b6eb9baf7be622d86
Homepage: https://cran.r-project.org/package=opensensmapr
Description: CRAN Package 'opensensmapr' (Client for the Data API of 'openSenseMap.org')
 Download environmental measurements and sensor station metadata from the API
 of open data sensor web platform <https://opensensemap.org> for analysis in
 R.  This platform provides real time data of more than 1500 low-cost sensor
 stations for PM10, PM2.5, temperature, humidity, UV-A intensity and more
 phenomena.  The package aims to be compatible with 'sf' and the 'Tidyverse',
 and provides several helper functions for data exploration and
 transformation.

Package: r-cran-openskies
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-ssh, r-cran-xml2, r-cran-ggmap, r-cran-ggplot2, r-cran-magick, r-cran-r6, r-cran-dbscan, r-cran-cluster, r-cran-dbi, r-cran-rpresto
Suggests: r-cran-knitr, r-bioc-biocstyle, r-cran-runit, r-bioc-biocgenerics, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-openskies_1.2.1-1.ca2004.1_all.deb
Size: 679720
MD5sum: c9b3d4cbea14fa89a40014e5eb6ca270
SHA1: 8f28984f2cb4ca83814a94a3aa8e4c5fe39f325c
SHA256: fc54337642b393796d960ba53e7b542b75e99c3efe6a7bdac61e2ead8a28f0b1
SHA512: d82b1d19c117b615daf16a29da15a5901b9205155ffd02733f25476aa5ac682157d66e624dcc8ca7e6512d5d671533fe5d307fc5f50943f939f672c3d9d0fbd1
Homepage: https://cran.r-project.org/package=openSkies
Description: CRAN Package 'openSkies' (Retrieval, Analysis and Visualization of Air Traffic Data)
 Provides functionalities and data structures to retrieve, analyze and
 visualize aviation data. It includes a client interface to the 'OpenSky' API
 <https://opensky-network.org>. It allows retrieval of flight information, as
 well as aircraft state vectors.

Package: r-cran-openspecy
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1766
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-yaml, r-cran-catools, r-cran-hyperspec, r-cran-mmand, r-cran-plotly, r-cran-digest, r-cran-signal, r-cran-glmnet, r-cran-jpeg, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinyjs, r-cran-shinywidgets, r-cran-bs4dash, r-cran-dplyr, r-cran-dt, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-openspecy_1.5.3-1.ca2004.1_all.deb
Size: 1385344
MD5sum: ce71f17a89652349189900ce6586091b
SHA1: c0535cae6a0c49f2f53e56158dfb291851376dd8
SHA256: 6ac2138ae8610a6e59e1aefaecade4bd47ffc38f17883688085e60a23ee34be6
SHA512: 59eebdf1f67bae679233a5263d8c0f3a84c75571e1ada420682c4ee8b7e5b77b6d460172dec4814eaf86ccd59df11bdab9349bca1a91a307785129f86a6b5b43
Homepage: https://cran.r-project.org/package=OpenSpecy
Description: CRAN Package 'OpenSpecy' (Analyze, Process, Identify, and Share Raman and (FT)IR Spectra)
 Raman and (FT)IR spectral analysis tool for plastic particles and other
 environmental samples (Cowger et al. 2021,
 <doi:10.1021/acs.analchem.1c00123>). With read_any(), Open Specy provides a
 single function for reading individual, batch, or map spectral data files
 like .asp, .csv, .jdx, .spc, .spa, .0, and .zip. process_spec() simplifies
 processing spectra, including smoothing, baseline correction, range
 restriction and flattening, intensity conversions, wavenumber alignment, and
 min-max normalization. Spectra can be identified in batch using an onboard
 reference library (Cowger et al. 2020, <doi:10.1177/0003702820929064>) using
 match_spec(). A Shiny app is available via run_app() or online at
 <https://www.openanalysis.org/openspecy/>.

Package: r-cran-openstars
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9474
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-rgrass7, r-cran-progress, r-cran-rgdal, r-cran-sp, r-cran-raster, r-cran-ssn
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-openstars_1.2.3-1.ca2004.1_all.deb
Size: 2664316
MD5sum: 1a99f93c5fcd3d1f9dda32d029ecc234
SHA1: efda4c5926fa2700b0d3429f611c4f306c0b03c5
SHA256: b25128da52525288f58a7830c849c0386f6d1cba0754c259422c2d7274b9aa34
SHA512: f545237eeb92cfc56c8e003fe6046a1ea583c39dc4225afb54c0d0d27b3655dcef2509ff7a2bd4ce06f1e808834f4faada8315f993d8d9351de8bec1e5a5a200
Homepage: https://cran.r-project.org/package=openSTARS
Description: CRAN Package 'openSTARS' (An Open Source Implementation of the 'ArcGIS' Toolbox 'STARS')
 An open source implementation of the 'STARS' toolbox (Peterson & Ver Hoef,
 2014, <doi:10.18637/jss.v056.i02>) using 'R' and 'GRASS GIS'.  It prepares
 the *.ssn object needed for the 'SSN' package.  A Digital Elevation Model
 (DEM) is used to derive stream networks (in contrast to 'STARS' that can
 clean an existing stream network).

Package: r-cran-openstreetmap
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2283
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rjava, r-cran-raster, r-cran-sp
Filename: pool/dists/focal/main/r-cran-openstreetmap_0.4.0-1.ca2004.1_all.deb
Size: 2264780
MD5sum: 4b698392e1ee79bbe25159fd8f34b761
SHA1: cb149d6194e1a9980230c637e227a5910ed9b258
SHA256: b6428d57dd3adb2627829f89edadb79690f8862bf3aa4fc67c2ee385e093ed9d
SHA512: 2271ea0e3fabe025ade34bfb0e9d3ef53173ce3e8170d2ef0991887d82c352fbf788c99fb3637f2e12af267bab92b941c694eeb2f8c98d04eea6ddc52682f21d
Homepage: https://cran.r-project.org/package=OpenStreetMap
Description: CRAN Package 'OpenStreetMap' (Access to Open Street Map Raster Images)
 Accesses high resolution raster maps using the OpenStreetMap protocol.
 Dozens of road, satellite, and topographic map servers are directly
 supported, including Apple, Mapnik, Bing, and stamen. Additionally raster
 maps may be constructed using custom tile servers.  Maps can be plotted
 using either base graphics, or ggplot2. This package is not affiliated with
 the OpenStreetMap.org mapping project.

Package: r-cran-opentraj
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-maptools, r-cran-openair, r-cran-raster, r-cran-rgdal, r-cran-reshape, r-cran-doparallel, r-cran-foreach, r-cran-sp
Filename: pool/dists/focal/main/r-cran-opentraj_1.0-1.ca2004.1_all.deb
Size: 3715080
MD5sum: 0b8cf5480732811c1abbaf367369f03e
SHA1: 18c8097074028d84682f4314c7be00ff88feb1ff
SHA256: b83806b4bea46b6eea8b37c72b77bf76edba361aeef73580e3a71f2b4c32ee46
SHA512: 5310290b1451427b40ee5a359ff0f426c28f3c4ae87a3884cb44306cb2d74ba0ade16616ac97068f82fe8d9444f1ff725731635a200b0dd75ff4ac6dc0672479
Homepage: https://cran.r-project.org/package=opentraj
Description: CRAN Package 'opentraj' (Tools for Creating and Analysing Air Trajectory Data)
 opentraj uses the Hybrid Single Particle Lagrangian Integrated Trajectory
 Model (HYSPLIT) for computing simple air parcel trajectories. The functions
 in this package allow users to run HYSPLIT for trajectory calculations, as
 well as get its results, directly from R without using any GUI interface.

Package: r-cran-opentreechronograms
Architecture: all
Version: 2022.1.28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2688
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-geiger, r-cran-knitcitations, r-cran-paleotree, r-cran-plyr, r-cran-rotl, r-cran-stringr, r-cran-taxize, r-cran-treebase, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-opentreechronograms_2022.1.28-1.ca2004.1_all.deb
Size: 2704148
MD5sum: 4c28d6eb92159f43a441ee90a324231b
SHA1: 4b33219da54b7a63de57c24734ac686f3cca6060
SHA256: 5cee6c75412a94485ca895441f123831e281b1883ae3b5257f328f5949b010d0
SHA512: 117de0bcde0071692e3e6297e75400396b8800556d7e8539cfa620d1c5f13612d0a7fd4083e152cfe0e52e78e294f9b1a449f4254c1a54770948e870fc31e0ed
Homepage: https://cran.r-project.org/package=OpenTreeChronograms
Description: CRAN Package 'OpenTreeChronograms' (Open Tree of Life Chronograms)
 Chronogram database constructed from Open Tree of Life's phylogenetic store.

Package: r-cran-opentripplanner
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-geodist, r-cran-googlepolylines, r-cran-curl, r-cran-rjson, r-cran-purrr, r-cran-rcppsimdjson, r-cran-progressr, r-cran-sf, r-cran-sfheaders
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-terra, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-opentripplanner_0.5.2-1.ca2004.1_all.deb
Size: 843220
MD5sum: 60e059bb743411fd6f9dfc4c40ef4913
SHA1: 9d6309924c94511ec5de97d12c3acc10114f3e1e
SHA256: f5a37f7b11e8a662e1d7bf327894bcb2ed335b5ca513c1c29c9821ce7de8a807
SHA512: 72536e3373eb04da24142eebe2114785f0b0d67c63e228da78759ca0a38184e47296a1d620dbd5a0a5ec944d44d7bbf131c678870aa86263426b9245973c4faa
Homepage: https://cran.r-project.org/package=opentripplanner
Description: CRAN Package 'opentripplanner' (Setup and connect to 'OpenTripPlanner')
 Setup and connect to 'OpenTripPlanner' (OTP)
 <http://www.opentripplanner.org/>.  OTP is an open source platform for
 multi-modal and multi-agency journey planning written in 'Java'. The package
 allows you to manage a local version or connect to remote OTP server to find
 walking, cycling, driving, or transit routes.  This package has been
 peer-reviewed by rOpenSci (v. 0.2.0.0).

Package: r-cran-openva
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2445
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-interva5, r-cran-insilicova, r-cran-interva4, r-cran-tariff, r-cran-ggplot2, r-cran-crayon, r-cran-cli
Suggests: r-cran-covr, r-cran-nbc4va, r-cran-testthat, r-cran-r.rsp, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-openva_1.1.2-1.ca2004.1_all.deb
Size: 1344628
MD5sum: 6de4f39463afc199ee1c590ecaeeb8c3
SHA1: f2a8699f67cf1bd0d6a130a07deff54c9c518b7b
SHA256: ca91bf03b2f388318f9b70a055bed9db59f15bbd1b9521f626ab151d5060d910
SHA512: 2f71bb0b8be18413fad9d1d8eb1febdb4297e91bb7502ca51b34bf994425307543199510582ff3297247b82182e3885483ed9909165b8c5c9e60cd42a9574288
Homepage: https://cran.r-project.org/package=openVA
Description: CRAN Package 'openVA' (Automated Method for Verbal Autopsy)
 Implements multiple existing open-source algorithms for coding cause of
 death from verbal autopsies. The methods implemented include 'InterVA4' by
 Byass et al (2012) <doi:10.3402/gha.v5i0.19281>, 'InterVA5' by Byass at al
 (2019) <doi:10.1186/s12916-019-1333-6>, 'InSilicoVA' by McCormick et al
 (2016) <doi:10.1080/01621459.2016.1152191>, 'NBC' by Miasnikof et al (2015)
 <doi:10.1186/s12916-015-0521-2>, and a replication of 'Tariff' method by
 James et al (2011) <doi:10.1186/1478-7954-9-31> and Serina, et al. (2015)
 <doi:10.1186/s12916-015-0527-9>. It also provides tools for data
 manipulation tasks commonly used in Verbal Autopsy analysis and implements
 easy graphical visualization of individual and population level statistics.
 The 'NBC' method is implemented by the 'nbc4va' package that can be
 installed from <https://github.com/rrwen/nbc4va>. Note that this package was
 not developed by authors affiliated with the Institute for Health Metrics
 and Evaluation and thus unintentional discrepancies may exist in the
 implementation of the 'Tariff' method.

Package: r-cran-operator.tools
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-operators, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-operator.tools_1.6.3-1.ca2004.1_all.deb
Size: 52712
MD5sum: b4d4fbb8f5a7eda194824e87f425e738
SHA1: 2b8f31b2f207da121d930333c6fbf00936d4ef71
SHA256: 357eeb04831b58451363590291039c1b326258e72fcd36669ab170a0f8687b40
SHA512: 1fcfba971c84c5f73688eea621c21a748d912b7ea7f3b4d27af4df818c138624882d519a197d4c743fcec2e375ca820d6264302122f5700ca51f4164dca355c6
Homepage: https://cran.r-project.org/package=operator.tools
Description: CRAN Package 'operator.tools' (Utilities for Working with R's Operators)
 Provides a collection of utilities that allow programming with R's
 operators. Routines allow classifying operators, translating to and from an
 operator and its underlying function, and inverting some operators (e.g.
 comparison operators), etc. All methods can be extended to custom infix
 operators.

Package: r-cran-operators
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-operators_0.1-8-1.ca2004.1_all.deb
Size: 65536
MD5sum: 369f10af827fe712dcb2fcbad4599582
SHA1: 19388f59fd2caa292ff5c091da50ecf43639cd28
SHA256: 138eb0d3c29acb9ae53f3ebedb63cc459a1bb64ab23855dd463143e82ee6c0fc
SHA512: fde04ca187c30748338550f0bb7167f407c2f3daf66e8c8b4218c91bfb4c2ba98e8c665ad8ac0a4fdd4acdcee906c6edf37dad9afccab52913d5730baea6ffb6
Homepage: https://cran.r-project.org/package=operators
Description: CRAN Package 'operators' (Additional Binary Operators)
 A set of binary operators for common tasks such as regex manipulation.

Package: r-cran-opgmmassessment
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adaptgauss, r-cran-datavisualizations, r-cran-distributionoptimization, r-cran-cluster, r-cran-mixtools, r-cran-foreach, r-cran-rlang, r-cran-ggplot2, r-cran-catools, r-cran-dplyr, r-cran-mclust, r-cran-mixak, r-cran-multimode, r-cran-nbclust, r-cran-clusterr, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-opgmmassessment_0.4-1.ca2004.1_all.deb
Size: 63956
MD5sum: 12808b3259bdd5d3c00b1380b7f30017
SHA1: 016cf6797f222ed8d4af32bbbcd9ddfcbef7934a
SHA256: 8924c9057ae3390e186a7529df48329f0ef9e816a35c6c887c8bd69364034457
SHA512: 73689ecf0fb2eaca95417c3dfe31878bbb5a8e3d381366c00b8da96dff7b49ca47bd8afa631d827e2fb8e760f38b49610f0ae461adbcae49337c407da0945672
Homepage: https://cran.r-project.org/package=opGMMassessment
Description: CRAN Package 'opGMMassessment' (Optimized Automated Gaussian Mixture Assessment)
 Necessary functions for optimized automated evaluation of the number and
 parameters of Gaussian mixtures in one-dimensional data. Various methods are
 available for parameter estimation and for determining the number of modes
 in the mixture. A detailed description of the methods ca ben found in
 Lotsch, J., Malkusch, S. and A. Ultsch. (2022)
 <doi:10.1016/j.imu.2022.101113>.

Package: r-cran-opi
Architecture: all
Version: 3.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 758
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-rfast, r-cran-abind, r-cran-openssl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opi_3.0.4-1.ca2004.1_all.deb
Size: 621852
MD5sum: fe16cce3c09fd70a74aee0f102385b2c
SHA1: 3026deea1983be9dc590d3edfb1d4a81ec48065f
SHA256: f3e330a047c0e40aa65a27d422ad3d30536365cfe2c65ec28158b9aefca6cb42
SHA512: f1c4bcec7d5bb013f2bd228bf3d530c0f9d794c69f2b1f7c80b19876c2d99768eab7bdb293c0fbb7c1625ae85b4969d857b5eb950d42c5811ab0df90bf76ed6e
Homepage: https://cran.r-project.org/package=OPI
Description: CRAN Package 'OPI' (Open Perimetry Interface)
 Implementation of the Open Perimetry Interface (OPI) for simulating and
 controlling visual field machines using R. The OPI is a standard for
 interfacing with visual field testing machines (perimeters) first started as
 an open source project with support of Haag-Streit in 2010. It specifies
 basic functions that allow many visual field tests to be constructed. As of
 February 2022 it is fully implemented on the Haag-Streit Octopus 900 and
 'CrewT ImoVifa' ('Topcon Tempo') with partial implementations on the
 Centervue Compass, Kowa AP 7000 and Android phones. It also has a cousin:
 the R package 'visualFields', which has tools for analysing and manipulating
 visual field data.

Package: r-cran-opinar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-haven, r-cran-janitor, r-cran-rvest, r-cran-glue, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-magrittr, r-cran-assertthat, r-cran-rlang, r-cran-sjplot, r-cran-gt, r-cran-lubridate
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-opinar_1.0.0-1.ca2004.1_all.deb
Size: 70752
MD5sum: c5c68df89de2e0884fd15a366f2d4a63
SHA1: c8551341a977c5091539d79c27ab7ffa73882fbc
SHA256: 83f47e6329f83a93b85d2b969ab7b425905e25b1806cc045c51f19057d5fa271
SHA512: cc047fbfb103bebd99cf1f1317bd4fa920f254c35f6997bee0396116e4043f899953d7eef406dfc9b71f2147855f2701371514bbc0d998ff9bdc0f3c6befab80
Homepage: https://cran.r-project.org/package=opinAr
Description: CRAN Package 'opinAr' (Argentina's Public Opinion Toolbox)
 A toolbox for working with public opinion data from Argentina. It
 facilitates access to microdata and the calculation of indicators of the
 Trust in Government Index (ICG), prepared by the Torcuato Di Tella
 University. Although we will try to document everything possible in English,
 by its very nature Spanish will be the main language. El paquete fue pensado
 como una caja de herramientas para el trabajo con datos de opinión pública
 de Argentina. El mismo facilita el acceso a los microdatos y el cálculos de
 indicadores del Índice de Confianza en el Gobierno (ICG), elaborado por la
 Universidad Torcuato Di Tella.

Package: r-cran-opitools
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tibble, r-cran-tidytext, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-tidyr, r-cran-likert, r-cran-tm, r-cran-wordcloud2, r-cran-forcats, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rvest, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-opitools_1.8.0-1.ca2004.1_all.deb
Size: 882732
MD5sum: 8095650f7384313604532830bc74d71a
SHA1: 8d65b07dae70dd8965bd1cc2f8d99f967afbe535
SHA256: 433f0ecf952fba8d452e1eed6b68775a28b005c2bf06fab0ab9cea217b2e5c46
SHA512: d952a849fe37c988535d5134008dc4c640994dae04f69e893658180e1ad27aaaca1f1aec05cb19af4b9597f49f9561078a98f18364c86df47a6ab129e963d174
Homepage: https://cran.r-project.org/package=opitools
Description: CRAN Package 'opitools' (Analyzing the Opinions in a Big Text Document)
 Designed for performing impact analysis of opinions in a digital text
 document (DTD). The package allows a user to assess the extent to which a
 theme or subject within a document impacts the overall opinion expressed in
 the document. The package can be applied to a wide range of opinion-based
 DTD, including commentaries on social media platforms (such as 'Facebook',
 'Twitter' and 'Youtube'), online products reviews, and so on.  The utility
 of 'opitools' was originally demonstrated in Adepeju and Jimoh (2021)
 <doi:10.31235/osf.io/c32qh> in the assessment of COVID-19 impacts on
 neighbourhood policing using Twitter data. Further examples can be found in
 the vignette of the package.

Package: r-cran-opl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-pander, r-cran-randomforest, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-opl_1.0.2-1.ca2004.1_all.deb
Size: 69856
MD5sum: 9283ed251a5d06177dd02c3cd9166287
SHA1: a70ac336ab50dc8b5c370980f355737ac82b2f0f
SHA256: e0e022a1fd5cede84cd628ecabff1295076f96111037f60247ed2770a5ef9cd7
SHA512: 06fef67522d47fea7eb3c2d091ec6ccb9fe83d7dd5e7a63a8338beec6c3fc731b74e583dc6fc36b8a8b50b9329ae97dc12ae71a77436fd56839eedebe9a7606f
Homepage: https://cran.r-project.org/package=OPL
Description: CRAN Package 'OPL' (Optimal Policy Learning)
 Provides functions for optimal policy learning in socioeconomic applications
 helping users to learn the most effective policies based on data in order to
 maximize empirical welfare. Specifically, 'OPL' allows to find "treatment
 assignment rules" that maximize the overall welfare, defined as the sum of
 the policy effects estimated over all the policy beneficiaries.
 Documentation about 'OPL' is provided by several international articles via
 Athey et al (2021, <doi:10.3982/ECTA15732>), Kitagawa et al (2018,
 <doi:10.3982/ECTA13288>), Cerulli (2022,
 <doi:10.1080/13504851.2022.2032577>), the paper by Cerulli (2021,
 <doi:10.1080/13504851.2020.1820939>) and the book by Gareth et al (2013,
 <doi:10.1007/978-1-4614-7138-7>).

Package: r-cran-opportunistic
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-hopbyhop, r-cran-endtoend
Filename: pool/dists/focal/main/r-cran-opportunistic_1.2-1.ca2004.1_all.deb
Size: 28732
MD5sum: 24b2b86a4598ac25ef04cd8657c2a0a7
SHA1: c849c045a3f75574c1a950c6546291ec13164f49
SHA256: 7fc9fa78dc1eb6de037958f3cf4d8bd204f352fc43591465a89fd77e2027b317
SHA512: d2fbb7a34b6e25306f2b8902af7aea585961659ceac498420c64331c85af0bf3a68fe4c90fc37dba276d2974f31d37a7adf7373989e904c1c35b3acf50285e49
Homepage: https://cran.r-project.org/package=Opportunistic
Description: CRAN Package 'Opportunistic' (Routing Distribution, Broadcasts, Transmissions and Receptionsin an Opportunistic Network)
 Computes the routing distribution, the expectation of the number of
 broadcasts, transmissions and receptions considering an Opportunistic
 transport model. It provides theoretical results and also estimated values
 based on Monte Carlo simulations.

Package: r-cran-optauc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-optauc_1.0-1.ca2004.1_all.deb
Size: 38744
MD5sum: b307dd91185c912340e5771bd25eab6a
SHA1: 60e464ce3650755eb13e673ce4e9100117757c82
SHA256: c22967649ea4f0c8bdad2a77941e472321dbac4bf8bd4be16f0b275e706ec320
SHA512: 1978392c9df5ee91153ead573006ccf58ae86d763cb5a7b23d0be9e2a65429b9f9ff6cff91d66c605e8d501c4c5671ab5087834ccdc09a63befaf410cc1b8fc1
Homepage: https://cran.r-project.org/package=optAUC
Description: CRAN Package 'optAUC' (Optimal Combinations of Diagnostic Tests Based on AUC)
 Searches for optimal linear combination of multiple diagnostic tests
 (markers) that maximizes the area under the receiver operating
 characteristic curve (AUC); performs an approximated cross-validation for
 estimating the AUC associated with the estimated coefficients.

Package: r-cran-optband
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lambertw
Suggests: r-cran-survival, r-cran-km.ci, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optband_0.2.2-1.ca2004.1_all.deb
Size: 207896
MD5sum: 0591a5e1d95c92e165eefc347b840969
SHA1: 27dfdcdf69f463577061c9deea11b61c9438beac
SHA256: 16f2bca0d1391d51bdc480673118c81f0ba67d796ed0c9e2b1edcda3444e49b9
SHA512: 19d475e45aedf69168851019bd3f6b62a311cd0cb4bc403d28778efbbba1fe51732005dfabba1d3e7c53a177bdd639691d41505b34c10791a10c2ef08d01b75a
Homepage: https://cran.r-project.org/package=optband
Description: CRAN Package 'optband' ('surv' Object Confidence Bands Optimized by Area)
 Given a certain coverage level, obtains simultaneous confidence bands for
 the survival and cumulative hazard functions such that the area between is
 minimized. Produces an approximate solution based on local time arguments.

Package: r-cran-optbdmaeat
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-optbdmaeat_1.0.2-1.ca2004.1_all.deb
Size: 128072
MD5sum: d9fead8f7acb03db40b0c740cdb9f086
SHA1: 0531ea8590fac7430fedf0e809f18917ff517643
SHA256: aa55e715d10c935edac7845fab1d115c342173a9c11ac2e6ca86290283ed4569
SHA512: afff670c7590bb8ab125d9eb83a784db0e4e64414781d54ac17040071cb8e85ad8a125711befe0aacbcc9e7877f386006957ab66c2c59dcd63661a87b75a005f
Homepage: https://cran.r-project.org/package=optbdmaeAT
Description: CRAN Package 'optbdmaeAT' (Optimal Block Designs for Two-Colour cDNA Microarray Experiments)
 Computes A-, MV-, D- and E-optimal or near-optimal block designs for
 two-colour cDNA microarray experiments using the linear fixed effects and
 mixed effects models where the interest is in a comparison of all possible
 elementary treatment contrasts. The algorithms used in this package are
 based on the treatment exchange and array exchange algorithms of Debusho,
 Gemechu and Haines (2018) <doi:10.1080/03610918.2018.1429617>. The package
 also provides an optional method of using the graphical user interface (GUI)
 R package tcltk to ensure that it is user friendly.

Package: r-cran-optbiomarker
Architecture: all
Version: 1.0-28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpanel, r-cran-mass, r-cran-randomforest, r-cran-e1071, r-cran-ipred, r-cran-msm, r-cran-rgl, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-optbiomarker_1.0-28-1.ca2004.1_all.deb
Size: 443332
MD5sum: 27ecc4f98fcf6a2f38f78e459eda7540
SHA1: e3516caf6394831d385261873dbc054a6a782fa2
SHA256: e347cd99b1ec173a2a22df152469a427d06a3448eb11c44d12680efbafcdaa90
SHA512: b46acb9ade83920908951b10ce9948f20e1a11a7685bd06e03543f76c43e2ca924a12a6d6752bbfd8d5a9bd079bf225684f09717017314935ff4b992b9552405
Homepage: https://cran.r-project.org/package=optBiomarker
Description: CRAN Package 'optBiomarker' (Estimation of Optimal Number of Biomarkers for Two-GroupMicroarray Based Classifications at a Given Error ToleranceLevel for Various Classification Rules)
 Estimates optimal number of biomarkers for two-group classification based on
 microarray data.

Package: r-cran-optcluster
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rankaggreg, r-cran-mclust, r-cran-cluster, r-cran-gplots, r-cran-kohonen, r-cran-mbcluster.seq
Suggests: r-bioc-biobase, r-bioc-annotate
Filename: pool/dists/focal/main/r-cran-optcluster_1.3.2-1.ca2004.1_all.deb
Size: 310532
MD5sum: e8ba780096a1acad95a3e934b22f350e
SHA1: 6eaf107fbd9ff713fda2d3fe0a8091c6725b84f9
SHA256: 8fc26209288d24e494dfc96dcbfb9575f6e91de21ba3f60dc9dd162ee3bf4ce1
SHA512: fc12b4817bc9f66af54f7d9b8e90c8e55ab73103eb557f8df2c6f19a0fb8d487de38c298da342c7e08449c4f8e7cec23e016f2df5e17fd3eec65703a30cacd7c
Homepage: https://cran.r-project.org/package=optCluster
Description: CRAN Package 'optCluster' (Determine Optimal Clustering Algorithm and Number of Clusters)
 Cluster analysis using statistical and biological validation measures for
 both continuous and count data.

Package: r-cran-optdesignslopeint
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-optdesignslopeint_1.1.1-1.ca2004.1_all.deb
Size: 50248
MD5sum: b8b5ddd8317d8838608d52c39f397e38
SHA1: 7cc2846c0a8529b35fa1c979cf173b113750ef2c
SHA256: 576f5b904a1587faef2eb9058a5a14bc2ec9e53275b52a1977b698004ad949cb
SHA512: 22eb0dd9c032fca657723e28a836d1e2028f288e671e34d04402687dc948da1273a67089fe839f467a364363a9081b8e76d2a9420936a3fd7c19dcf93a9406b9
Homepage: https://cran.r-project.org/package=optDesignSlopeInt
Description: CRAN Package 'optDesignSlopeInt' (Optimal Designs for Estimating the Slope Divided by theIntercept)
 Aids practitioners to optimally design experiments that measure the slope
 divided by the intercept and provides confidence intervals for the ratio.

Package: r-cran-optecd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optecd_1.0.0-1.ca2004.1_all.deb
Size: 13564
MD5sum: f7722866074f0acb284c0aa4740fb8c3
SHA1: 3893c4910a3e984c8b2fee83a677d07567e64cb0
SHA256: d0e33edca6822ae34c93daae52d53eb89156ca7fa10141cac0aa8fc667512a59
SHA512: 1dd6146100700248e9ac8f1073581b41a5d9ed1f22bd213fb60dbacaea66d1fc7386579d6ef841af4e32790184563a42b01e5f2c829d92706644fcb8f9ab6b85
Homepage: https://cran.r-project.org/package=OPTeCD
Description: CRAN Package 'OPTeCD' (Optimal Partial Tetra-Allele Cross Designs)
 Tetra-allele cross often referred as four-way cross or double cross or
 four-line cross are those type of mating designs in which every cross is
 obtained by mating amongst four inbred lines. A tetra-allele cross can be
 obtained by crossing the resultant of two unrelated diallel crosses. A
 common triallel cross involving four inbred lines A, B, C and D can be
 symbolically represented as (A X B) X (C X D) or (A, B, C, D) or (A B C D)
 etc. Tetra-allele cross can be broadly categorized as Complete Tetra-allele
 Cross (CTaC) and Partial Tetra-allele Crosses (PTaC). Rawlings and Cockerham
 (1962)<doi:10.2307/2527461> firstly introduced and gave the method of
 analysis for tetra-allele cross hybrids using the analysis method of single
 cross hybrids under the assumption of no linkage. The set of all possible
 four-way mating between several genotypes (individuals, clones, homozygous
 lines, etc.) leads to a CTaC. If there are N number of inbred lines involved
 in a CTaC, the the total number of crosses, T = N*(N-1)*(N-2)*(N-3)/8. When
 more number of lines are to be considered, the total number of crosses in
 CTaC also increases. Thus, it is almost impossible for the investigator to
 carry out the experimentation with limited available resource material. This
 situation lies in taking a fraction of CTaC with certain underlying
 properties, known as PTaC.

Package: r-cran-optedr
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1995
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-crayon, r-cran-cli, r-cran-dplyr, r-cran-nleqslv, r-cran-shiny
Suggests: r-cran-testthat, r-cran-mockery, r-cran-markdown, r-cran-dt, r-cran-shinydashboard, r-cran-shinyalert, r-cran-plotly, r-cran-hrbrthemes, r-cran-shinyjs, r-cran-orthopolynom, r-cran-magrittr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-optedr_2.2.0-1.ca2004.1_all.deb
Size: 615620
MD5sum: 79880f655b52e3352213827035dd1257
SHA1: 1879ee02655ea0685cb7a0b702443c584be084f0
SHA256: eb3e8469a12c95b235f05233850425ca64c8ff82a2e8283bd0b778a3e5185acb
SHA512: b83ab47de73a5b087de0f7d10c9f4bffb2c48dc49ea7b8d50de70500a3f58c6a152821306752bc835bc7e7b9e0487f711ef1528a2e3baba93bcc0cfb0347a2b4
Homepage: https://cran.r-project.org/package=optedr
Description: CRAN Package 'optedr' (Calculating Optimal and D-Augmented Designs)
 Calculates D-, Ds-, A-, I- and L-optimal designs for non-linear models, via
 an implementation of the cocktail algorithm (Yu, 2011,
 <doi:10.1007/s11222-010-9183-2>). Compares designs via their efficiency, and
 augments any design with a controlled efficiency. An efficient rounding
 function has been provided to transform approximate designs to exact
 designs.

Package: r-cran-optextras
Architecture: all
Version: 2019-12.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-optextras_2019-12.4-1.ca2004.1_all.deb
Size: 118116
MD5sum: e2727d710cfa3dc2450f6188f6d1850d
SHA1: e72263f5e26e0fa332c35e4dc0ad50a881163ff9
SHA256: 91f8252db81efffc636cd6ff96e2c2c023259a6b69de49a109fcc3a1222e2ebf
SHA512: 8b68e490bb37c2e62c998ab979e937ce31f3cc8903ef399d442cdc079aa6cc4cd788f112bbc39369d010183a60183e5952e396d6d08ca1522dfb1f7ad5626cd8
Homepage: https://cran.r-project.org/package=optextras
Description: CRAN Package 'optextras' (Tools to Support Optimization Possibly with Bounds and Masks)
 Tools to assist in safely applying user generated objective and derivative
 function to optimization programs. These are primarily function minimization
 methods with at most bounds and masks on the parameters.  Provides a way to
 check the basic computation of objective functions that the user provides,
 along with proposed gradient and Hessian functions, as well as to wrap such
 functions to avoid failures when inadmissible parameters are provided. Check
 bounds and masks. Check scaling or optimality conditions.  Perform an axial
 search to seek lower points on the objective function surface.  Includes
 forward, central and backward gradient approximation codes.

Package: r-cran-optholdoutsize
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3623
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-mnormt, r-cran-mvtnorm, r-cran-ranger, r-cran-mle.tools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optholdoutsize_0.1.0.1-1.ca2004.1_all.deb
Size: 3343704
MD5sum: 56c329716755bc7694fa7e79c0a981e0
SHA1: 8ff613b767546a0ad8f905eebf475d8699c7523e
SHA256: 23dacee4a1c402fb4e99e2084fe1046751ad240a3b0a6eae0181c5344272578b
SHA512: a73a707c6e8120ba4ad568e780b022acfc3da3bc482396103a5723ca91d48738a2dd8a3d88f1e83466ee6a66ee5ba67fce5b3e663ed7fc9d4b82fe1c25c88238
Homepage: https://cran.r-project.org/package=OptHoldoutSize
Description: CRAN Package 'OptHoldoutSize' (Estimation of Optimal Size for a Holdout Set for Updating aPredictive Score)
 Predictive scores must be updated with care, because actions taken on the
 basis of existing risk scores causes bias in risk estimates from the updated
 score. A holdout set is a straightforward way to manage this problem: a
 proportion of the population is 'held-out' from computation of the previous
 risk score. This package provides tools to estimate a size for this holdout
 set and associated errors. Comprehensive vignettes are included. Please see:
 Haidar-Wehbe S, Emerson SR, Aslett LJM, Liley J (2022)
 <doi:10.48550/arXiv.2202.06374> (to appear in Annals of Applied Statistics)
 for details of methods.

Package: r-cran-optic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-did, r-cran-dplyr, r-cran-future.apply, r-cran-lmtest, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-sandwich, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optic_1.0.1-1.ca2004.1_all.deb
Size: 250772
MD5sum: 93a600af0548e05501ad72529950bfb0
SHA1: 802c94aaf6f82015bf560a422b5cd87e653c861d
SHA256: da7702f13ee30e97fddace42d9858743b19f417a30861aba64483f37e947ae05
SHA512: fc44e7e7eecc39bbcddb22c5b86bd32eac27d341880dcafe99dadee6114e9c6ea9690a45a19c1372195678dca9ad566f7b510d60a2e904d27c76439168c2e681
Homepage: https://cran.r-project.org/package=optic
Description: CRAN Package 'optic' (Simulation Tool for Causal Inference Using Longitudinal Data)
 Implements a simulation study to assess the strengths and weaknesses of
 causal inference methods for estimating policy effects using panel data. See
 Griffin et al. (2021) <doi:10.1007/s10742-022-00284-w> and Griffin et al.
 (2022) <doi:10.1186/s12874-021-01471-y> for a description of our methods.

Package: r-cran-optical
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optical_1.7.1-1.ca2004.1_all.deb
Size: 469540
MD5sum: 02b498e57eb224362904f363aaa86e5c
SHA1: 737cc8e76593b47358e965d152d167fc57d99a01
SHA256: 34c097e60b061b60c147072f184e689640897ff305e698d1a3fcca28a745ea16
SHA512: a929fa9cc49b61b2374042cd43d20857d8f9832d87e606eedf8d06304ac48782a05e2ea4297d2b9345a2a0166ee452e8d13eaa5e596aa1bd44a3ca5a1951e734
Homepage: https://cran.r-project.org/package=optical
Description: CRAN Package 'optical' (Optimal Item Calibration)
 The restricted optimal design method is implemented to optimally allocate a
 set of items that require calibration to a group of examinees.  The
 optimization process is based on the method described in detail by Ul Hassan
 and Miller in their works published in (2019) <doi:10.1177/0146621618824854>
 and (2021) <doi:10.1016/j.csda.2021.107177>.  To use the method, preliminary
 item characteristics must be provided as input.  These characteristics can
 either be expert guesses or based on previous calibration with a small
 number of examinees. The item characteristics should be described in the
 form of parameters for an Item Response Theory (IRT) model. These models can
 include the Rasch model, the 2-parameter logistic model, the 3-parameter
 logistic model, or a mixture of these models. The output consists of a set
 of rules for each item that determine which examinees should be assigned to
 each item. The efficiency or gain achieved through the optimal design is
 quantified by comparing it to a random allocation. This comparison allows
 for an assessment of how much improvement or advantage is gained by using
 the optimal design approach. This work was supported by the Swedish Research
 Council (Vetenskapsrådet) Grant 2019-02706.

Package: r-cran-opticskxi
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2903
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-matrix, r-cran-rlang
Suggests: r-cran-amap, r-cran-dbscan, r-cran-cowplot, r-cran-fastica, r-cran-fpc, r-cran-ggrepel, r-cran-gtable, r-cran-knitr, r-cran-plyr, r-cran-reshape2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-opticskxi_1.2.1-1.ca2004.1_all.deb
Size: 2619092
MD5sum: cbf2d42cd7a717dc9119d8a06c1ba3e8
SHA1: 2b28cf8e2c2a352842d5775b464ea32fdde8f553
SHA256: 8976b58c466b5bb8d853c1c05638a5a9e2fbf59a7053ec22092db212d1bfc116
SHA512: 0fd28fef96b20a0e79092e3016ef09b71f674f233b6841e295f37d44916b832bca7768c461435736d984bd1e185760c13b128a9cee45de759be997687b299daf
Homepage: https://cran.r-project.org/package=opticskxi
Description: CRAN Package 'opticskxi' (OPTICS K-Xi Density-Based Clustering)
 Density-based clustering methods are well adapted to the clustering of
 high-dimensional data and enable the discovery of core groups of various
 shapes despite large amounts of noise. This package provides a novel
 density-based cluster extraction method, OPTICS k-Xi, and a framework to
 compare k-Xi models using distance-based metrics to investigate datasets
 with unknown number of clusters. The vignette first introduces density-based
 algorithms with simulated datasets, then presents and evaluates the k-Xi
 cluster extraction method. Finally, the models comparison framework is
 described and experimented on 2 genetic datasets to identify groups and
 their discriminating features. The k-Xi algorithm is a novel OPTICS cluster
 extraction method that specifies directly the number of clusters and does
 not require fine-tuning of the steepness parameter as the OPTICS Xi method.
 Combined with a framework that compares models with varying parameters, the
 OPTICS k-Xi method can identify groups in noisy datasets with unknown number
 of clusters. Results on summarized genetic data of 1,200 patients are in
 Charlon T. (2019) <doi:10.13097/archive-ouverte/unige:161795>. A short video
 tutorial can be found at <https://www.youtube.com/watch?v=P2XAjqI5Lc4/>.

Package: r-cran-opticut
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 455
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply, r-cran-mass, r-cran-pscl, r-cran-betareg, r-cran-resourceselection, r-cran-mefa4
Filename: pool/dists/focal/main/r-cran-opticut_0.1-3-1.ca2004.1_all.deb
Size: 405520
MD5sum: b0bd1b3baf03bd47a9953def0dfc408b
SHA1: f61896a72cc96a0f38a4042c4f4294c2bee24f17
SHA256: fa376388e19eef11907e741e9631057677d3cf6dd7388115cf5cf29d501d0559
SHA512: 0c0066d3db74b6073b664a9d76f4ad29c50b7bc48d8c5d545b6f9ae27f0be1b80e5a1851226c29f5d067cd7818457cab1c34019bcad20d8f4fdf86d7ea177364
Homepage: https://cran.r-project.org/package=opticut
Description: CRAN Package 'opticut' (Likelihood Based Optimal Partitioning and Indicator SpeciesAnalysis)
 Likelihood based optimal partitioning and indicator species analysis.
 Finding the best binary partition for each species based on model selection,
 with the possibility to take into account modifying/confounding variables as
 described in Kemencei et al. (2014) <doi:10.1556/ComEc.15.2014.2.6>.  The
 package implements binary and multi-level response models, various measures
 of uncertainty, Lorenz-curve based thresholding, with native support for
 parallel computations.

Package: r-cran-optifunset
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optifunset_1.0-1.ca2004.1_all.deb
Size: 10888
MD5sum: 16f67773907fcba2be2e0983d4e547f2
SHA1: 657b878b7647be26381c7131b552728ceea3bf16
SHA256: 8d09317b7705a2148425a23522f0c1896017cecc7141330214dcf4a54ee30e6c
SHA512: f007de9cda53d6b185f9cb0288f0e5c584199b796ca52cbfc1ab72394f0904671ac50b2c2353bd39d5deced98eaee627547e7fcd92db5573b02133e4d111a2bc
Homepage: https://cran.r-project.org/package=optifunset
Description: CRAN Package 'optifunset' (Set Options if Unset)
 A single function 'options.ifunset(...)' is contained herewith, which allows
 the user to set a global option ONLY if it is not already set. By this
 token, for package maintainers this function can be used in preference to
 the standard 'options(...)' function, making provision for THEIR end user to
 place 'options(...)' directives within their '.Rprofile' file, which will
 not be overridden at the point when a package is loaded.

Package: r-cran-optigrab
Architecture: all
Version: 0.9.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optigrab_0.9.2.1-1.ca2004.1_all.deb
Size: 85184
MD5sum: 3a84bc38846f98eae1fa6efa06cf1183
SHA1: 1a326f9d6aaee85872c82d9ae3b70c701297f382
SHA256: becc095687aaaf9f2913ba30d85904f04177bfe0ee12e1e167db9aa99132a24c
SHA512: cacb75f8fe84870e02716b6bec0353d22b1aa73024ed9f0bf5e41ac9e74e67f73b92e0ef19bd02ddef4d8ef566f1cbb8814cf462ccbbc8c1a15d5f6599007b31
Homepage: https://cran.r-project.org/package=optigrab
Description: CRAN Package 'optigrab' (Command-Line Parsing for an R World)
 Parse options from the command-line using a simple, clean syntax.  It
 requires little or no specification and supports short and long options,
 GNU-, Java- or Microsoft- style syntaxes, verb commands and more.

Package: r-cran-optim.functions
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lhs, r-cran-randtoolbox, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-optim.functions_0.1-1.ca2004.1_all.deb
Size: 24736
MD5sum: 8a8f633768258ac1a69cf33cf55562d4
SHA1: 376d9502ddbe8bd23b10ffcdaf0bca7a9b9cc08d
SHA256: 20269352ae89266092f0b3cdcdd7d3e4c3b33d8b39760d9fd79f65bb24ce6fd1
SHA512: dc1b30e169b7366c84da52579543dcdd6c7fd2d320bdfdeedaeabf8810d70df164ca333bbcaefd45843b0049cbd38cc7a4cdc04ccb7baab244e6f0b2901f4deb
Homepage: https://cran.r-project.org/package=optim.functions
Description: CRAN Package 'optim.functions' (Standard Benchmark Optimization Functions)
 A set of standard benchmark optimization functions for R and a common
 interface to sample them.

Package: r-cran-optimalcutpoints
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optimalcutpoints_1.1-5-1.ca2004.1_all.deb
Size: 176628
MD5sum: acdcfda2fe9d39db4fcc0768a6685ee2
SHA1: 69613819889aa72c8d17dab9f0476747fb629fa8
SHA256: b7706176bb0742307874c3c127693c0b54a81e7276cafe0133330bd02c49ffd5
SHA512: 5d7b0b0731844b287b2580720dbd8f3f2e1ce74d54a32b3823ea6ff0d3e469da53e1b4075ff795ce1a139130f55187c307f918bd3622160371f5e75ca59af70f
Homepage: https://cran.r-project.org/package=OptimalCutpoints
Description: CRAN Package 'OptimalCutpoints' (Computing Optimal Cutpoints in Diagnostic Tests)
 Computes optimal cutpoints for diagnostic tests or continuous markers.
 Various approaches for selecting optimal cutoffs have been implemented,
 including methods based on cost-benefit analysis and diagnostic test
 accuracy measures (Sensitivity/Specificity, Predictive Values and Diagnostic
 Likelihood Ratios). Numerical and graphical output for all methods is easily
 obtained.

Package: r-cran-optimaldesign
Architecture: all
Version: 1.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-lpsolve, r-cran-matrixstats, r-cran-matrixcalc, r-cran-plyr, r-cran-quadprog, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-optimaldesign_1.0.2.1-1.ca2004.1_all.deb
Size: 387796
MD5sum: d13bb1e9771353c58573e0e26d94df14
SHA1: a5715dfd63a3f9b45dc04126134ff8693eafa09c
SHA256: 64023d44731779c181768ecd5eeb9451996bff49bf09f87eaacce85abb82a0a8
SHA512: d0b2774c5b9b447b99a169200ecba9cd903a9b1b7a5fb2e504efc32b9adad4d320f0e75cfb49f69a4f863bdee158c43ce56d369bf85fc4088c0162464a1dedde
Homepage: https://cran.r-project.org/package=OptimalDesign
Description: CRAN Package 'OptimalDesign' (A Toolbox for Computing Efficient Designs of Experiments)
 Algorithms for D-, A-, I-, and c-optimal designs. Some of the functions in
 this package require the 'gurobi' software and its accompanying R package.
 For their installation, please follow the instructions at
 <https://www.gurobi.com> and the file gurobi_inst.txt, respectively.

Package: r-cran-optimalgoldstandarddesigns
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1425
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nloptr, r-cran-mvtnorm, r-cran-cli, r-cran-dplyr, r-cran-tibble, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-fpcompare, r-cran-mnormt, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-optimalgoldstandarddesigns_1.0.1-1.ca2004.1_all.deb
Size: 737532
MD5sum: 1f345ad5f0a4e5aac8d4a4c1dda0e490
SHA1: edad12bd8dbe55eda7e396401d136de8c2ac48d4
SHA256: 07fe843868581657817c5b22ad6e2f46e808866a9ea4644d289f5c9f96004b6c
SHA512: f56fbbec9917f720f565e4496f29d08440f17d2d6baae544c053f9ade677dcb05ed99e986e0c95778531ace619adad4e1321114f4ce00e873ca1130ddff7fb5b
Homepage: https://cran.r-project.org/package=OptimalGoldstandardDesigns
Description: CRAN Package 'OptimalGoldstandardDesigns' (Design Parameter Optimization for Gold-Standard Non-InferiorityTrials)
 Methods to calculate optimal design parameters for one- and two-stage
 three-arm group-sequential gold-standard non-inferiority trial designs with
 or without binding or nonbinding futility boundaries, as described in Meis
 et al. (2023) <doi:10.1002/sim.9630>.

Package: r-cran-optimall
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4559
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-bslib, r-cran-diagrammer, r-cran-dt, r-cran-globals, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-shiny, r-cran-shinytest, r-cran-survey, r-cran-tidyr, r-cran-testthat, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-optimall_1.1.1-1.ca2004.1_all.deb
Size: 3143888
MD5sum: 87db8b12e213b395655c4dd330d66867
SHA1: b0d1cab03fc9a6f9ba7830ae8028defc27166692
SHA256: e3a53475f676e6566c94b7ef5afe2b0b41eac90de9e211ca7bd697fd1dad5816
SHA512: 770310207bad3ec6cf83461539c5ec616da9a4f798bd24e91af2db6bb528440828f67ef411448a2aa34c8ba123a21590407c9649c20803870f92c3b00c393a83
Homepage: https://cran.r-project.org/package=optimall
Description: CRAN Package 'optimall' (Allocate Samples Among Strata)
 Functions for the design process of survey sampling, with specific tools for
 multi-wave and multi-phase designs. Perform optimum allocation using Neyman
 (1934) <doi:10.2307/2342192> or Wright (2012)
 <doi:10.1080/00031305.2012.733679> allocation, split strata based on
 quantiles or values of known variables, randomly select samples from strata,
 allocate sampling waves iteratively, and organize a complex survey design.
 Also includes a Shiny application for observing the effects of different
 strata splits.

Package: r-cran-optimalrerandexpdesigns
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-momentchi2, r-cran-greedyexperimentaldesign
Filename: pool/dists/focal/main/r-cran-optimalrerandexpdesigns_1.1-1.ca2004.1_all.deb
Size: 74612
MD5sum: 98e508862b0c53579ed61b3fcbbf6ee0
SHA1: d3267ee0a581c4baa88bcf828a3ce89c6824113c
SHA256: 45b0b79328e1540928ab5e413ebc1c9dd1f582be1359f4207500f4551ea44bab
SHA512: ad0f6e0848c930b4a9c57bddf043cd146fbe38c72fa54c8e82b2ba825348718848ed7e74bccf460df8afdad49bfd481a6ab6cc8774b580ec895e16aeb0b6cf3c
Homepage: https://cran.r-project.org/package=OptimalRerandExpDesigns
Description: CRAN Package 'OptimalRerandExpDesigns' (Optimal Rerandomization Experimental Designs)
 This is a tool to find the optimal rerandomization threshold in
 non-sequential experiments. We offer three procedures based on assumptions
 made on the residuals distribution: (1) normality assumed (2) excess
 kurtosis assumed (3) entire distribution assumed.  Illustrations are
 included. Also included is a routine to unbiasedly estimate Frobenius norms
 of variance-covariance matrices.  Details of the method can be found in
 "Optimal Rerandomization via a Criterion that Provides Insurance Against
 Failed Experiments" Adam Kapelner, Abba M. Krieger, Michael Sklar and David
 Azriel (2020) <arXiv:1905.03337>.

Package: r-cran-optimalsurrogate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-optimalsurrogate_1.0-1.ca2004.1_all.deb
Size: 42692
MD5sum: 5230817ec7fae1c5f113f26642e24103
SHA1: ec07d0cff23238bc8c428bf8815b7e501ae198b3
SHA256: 20e11a974ec87eeabb2abb9d3cde778db193e360f973a1c0666b25c6134575ff
SHA512: d6172cad3898de09e163986817120ab95234162864dfd82f4f9f7f088ac5f3fe4959be081a515482021eb5accac62675ba28d0532ee27432c4d89e08b7b66ccd
Homepage: https://cran.r-project.org/package=OptimalSurrogate
Description: CRAN Package 'OptimalSurrogate' (Model Free Approach to Quantifying Surrogacy)
 Identifies an optimal transformation of a surrogate marker such that the
 proportion of treatment effect explained can be inferred based on the
 transformation of the surrogate and nonparametrically estimates two
 model-free quantities of this proportion. Details are described in Wang et
 al (2020) <doi:10.1093/biomet/asz065>.

Package: r-cran-optimalthreshold
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ars, r-cran-rjags, r-cran-hdinterval, r-cran-mgcv, r-cran-coda
Filename: pool/dists/focal/main/r-cran-optimalthreshold_1.0-1.ca2004.1_all.deb
Size: 391232
MD5sum: e3ef0372ff87133ba43e8b1a37528de1
SHA1: c45a1dfec6e864ba689e25507a62e52ec814e265
SHA256: d13904021cdb15180e8a4453b56a7d381d036c43c1683a4263eda8115ddaac9b
SHA512: 0b87bfa9a8f440fc7542ba5f70d13ffb228537f679db6e53fe09f053f7c968a9d63f59b172c4973f61af3b074f7b2ffa5b0231771d38905c8075041a2a031ee8
Homepage: https://cran.r-project.org/package=optimalThreshold
Description: CRAN Package 'optimalThreshold' (Bayesian Methods for Optimal Threshold Estimation)
 Functions to estimate the optimal threshold of diagnostic markers or
 treatment selection markers. The optimal threshold is the marker value that
 maximizes the utility of the marker based-strategy (for diagnostic or
 treatment selection) in a given population. The utility function depends on
 the type of marker (diagnostic or treatment selection), but always takes
 into account the preferences of the patients or the physician in the
 decision process. For estimating the optimal threshold, ones must specify
 the distributions of the marker in different groups (defined according to
 the type of marker, diagnostic or treatment selection) and provides data to
 estimate the parameters of these distributions. Ones must also provide some
 features of the target populations (disease prevalence or treatment
 efficacies) as well as the preferences of patients or physicians. The
 functions rely on Bayesian inference which helps producing several
 indicators derived from the optimal threshold. See Blangero, Y, Rabilloud,
 M, Ecochard, R, and Subtil, F (2019) <doi:10.1177/0962280218821394> for the
 original article that describes the estimation method for treatment
 selection markers and Subtil, F, and Rabilloud, M (2019)
 <doi:10.1002/bimj.200900242> for diagnostic markers.

Package: r-cran-optimaltiming
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mstate, r-cran-survival
Filename: pool/dists/focal/main/r-cran-optimaltiming_0.1.0-1.ca2004.1_all.deb
Size: 74716
MD5sum: 33a04f21cf226d08047d850a3f04e3f8
SHA1: cef4b99fe2b6231102ae5aca5ddcd7fe44e99e77
SHA256: 950a3a9f86a9d0fc2632b5dd5da844506901a2b2c8282dc77b0dedcd28a935ab
SHA512: d1bd46fa00925f4ed7af0ecc71b2273451b14f7bbbce0dd20795e449e8af3cb79c7e5325cdad5ac8625f1083b7a183bb379cd5802c9f93d7f9ba1d1dd70aee78
Homepage: https://cran.r-project.org/package=OptimalTiming
Description: CRAN Package 'OptimalTiming' (Optimal Timing Identification)
 Identify the optimal timing for new treatment initiation during multiple
 state disease transition, including multistate model fitting, simulation of
 mean residual lifetime for a given transition state, and estimation of
 confidence interval. The method is referred to de Wreede, L., Fiocco, M., &
 Putter, H. (2011) <doi:10.18637/jss.v038.i07>.

Package: r-cran-optimaregion
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-depthproc, r-cran-fields, r-cran-magrittr, r-cran-nloptr, r-cran-rsm, r-cran-rdpack, r-cran-rdsdp, r-cran-spam, r-cran-stringr
Suggests: r-cran-knitr, r-cran-lhs, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimaregion_1.2-1.ca2004.1_all.deb
Size: 146628
MD5sum: a5c081a277b6973d79ee5a882af12482
SHA1: b3b07fec13e8da09cb5a787907917eab5e30bd8e
SHA256: 85f2f3199f143a68c87201a20bb778084e43cb4e8608fb51eef2d757d27adb72
SHA512: 9844c7a83ab30fbd0205c6315f7a36380312d1e45c1491c1be35d6aaeff996408d4b546351002e0dc81c26dc2fb97c901796dd863bc6e9d219b35122197c1a6f
Homepage: https://cran.r-project.org/package=OptimaRegion
Description: CRAN Package 'OptimaRegion' (Confidence Regions for Optima of Response Surfaces)
 Computes confidence regions on the location of response surface optima.
 Response surface models can be up to cubic polynomial models in up to 5
 controllable factors, or Thin Plate Spline models in 2 controllable factors.

Package: r-cran-optimbase
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1043
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimbase_1.0-10-1.ca2004.1_all.deb
Size: 383284
MD5sum: 290b3f9ec60b05ae744213c8e6fd6e2f
SHA1: 44a4ab3e470d1d18d0983a55f4b20e3047d87624
SHA256: 06ad4dc03a952fe493d5a364726539eb747aa5cb61612ec94b8650e602d7a70e
SHA512: 53093e4457a0df15de4bc8f787aeffb32bb527fb6980ba14ad371cbcded6485e40be2be4c07d14745e9823819ecc2187f925d508b2f1138add619c5d405a80b8
Homepage: https://cran.r-project.org/package=optimbase
Description: CRAN Package 'optimbase' (R Port of the 'Scilab' Optimbase Module)
 Provides a set of commands to manage an abstract optimization method. The
 goal is to provide a building block for a large class of specialized
 optimization methods. This package manages: the number of variables, the
 minimum and maximum bounds, the number of non linear inequality constraints,
 the cost function, the logging system, various termination criteria, etc...

Package: r-cran-optimcheck
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-quantreg, r-cran-mclust, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimcheck_1.0.1-1.ca2004.1_all.deb
Size: 217972
MD5sum: 1ffeb33987fa58cbb007ae1101dbd489
SHA1: eeb59f5369afcbf7d8f31bd584c306febad5d7c4
SHA256: fba5bb6fb999b5d798a9c0bbe6bb7c182acf2fac5557118bd87a9b944bf3ac56
SHA512: 951696efaa21a9d24bc630ada214515b7a0b33275474926f21b0991b8b7d8e7969ee7e7cbf27643223cf0da39f32cff9684b91c0e2a02d89885c21c569e41fec
Homepage: https://cran.r-project.org/package=optimCheck
Description: CRAN Package 'optimCheck' (Graphical and Numerical Checks for Mode-Finding Routines)
 Tools for checking that the output of an optimization algorithm is indeed at
 a local mode of the objective function.  This is accomplished graphically by
 calculating all one-dimensional "projection plots" of the objective
 function, i.e., varying each input variable one at a time with all other
 elements of the potential solution being fixed.  The numerical values in
 these plots can be readily extracted for the purpose of automated and
 systematic unit-testing of optimization routines.

Package: r-cran-optimg
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ucminf
Filename: pool/dists/focal/main/r-cran-optimg_0.1.2-1.ca2004.1_all.deb
Size: 32352
MD5sum: a7b6f07787b2620913d61a473401cb60
SHA1: 4f0ef3166eb3959b168a9e7d0b9da462f7285d4e
SHA256: db1e62ba40234f4e440ef9cf0d58d79625f1e3361dd86b8579ef1632c89d0e52
SHA512: 9ba1cbe3c3348271d7f260ade5e21d3cac39204881134ac33cd36ef0bfb1699ae84a185fc187dabf3323e294ee29b2a8f65364214fcc67f796a68eeefe2149a1
Homepage: https://cran.r-project.org/package=optimg
Description: CRAN Package 'optimg' (General-Purpose Gradient-Based Optimization)
 Provides general purpose tools for helping users to implement steepest
 gradient descent methods for function optimization; for details see Ruder
 (2016) <arXiv:1609.04747v2>. Currently, the Steepest 2-Groups Gradient
 Descent and the Adaptive Moment Estimation (Adam) are the methods
 implemented. Other methods will be implemented in the future.

Package: r-cran-optimizer
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-lbfgsb3c, r-cran-numderiv, r-cran-oeli, r-cran-pracma, r-cran-r6, r-cran-testfunctions, r-cran-ucminf
Suggests: r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optimizer_1.2.1-1.ca2004.1_all.deb
Size: 269452
MD5sum: 3a1bcdb1e2a17b0fe6fa95550e4ac04f
SHA1: d699eebf479ae0819d5decec748ed2b2f66aff71
SHA256: bb5a02a5e2db387fc05363819458393e52106ab31f174a9c47e0b7f82344d027
SHA512: 7686a9cf8ddd1a9b12b7050cf170f728ff290cf6750b2775e6d2ecad7e437793eba6196e6a8d3665098c46fe84abdc958fed8c0020e686cb651bd2654e78302f
Homepage: https://cran.r-project.org/package=optimizeR
Description: CRAN Package 'optimizeR' (Unified Framework for Numerical Optimizers)
 Provides a unified object-oriented framework for numerical optimizers in R.
 Allows for both minimization and maximization with any optimizer,
 optimization over more than one function argument, measuring of computation
 time, setting a time limit for long optimization tasks.

Package: r-cran-optimlanduse
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpsolveapi, r-cran-tidyr, r-cran-dplyr, r-cran-future, r-cran-future.apply
Suggests: r-cran-readxl, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-optimlanduse_1.2.1-1.ca2004.1_all.deb
Size: 139564
MD5sum: b61352ff83e9d835303da491b0637b78
SHA1: 78285e04a5439efa28f6a94e7a6023f054369253
SHA256: 51a651113da58b9edbca593e3f44eaaee0cc236c7b4abf96384b60258c362726
SHA512: 078c6fe18a9f7ed3684ebc02e8fe8452a4253d9f580d8c1944d90837fed0e27c99a1ac8c583a9ae821ef918052bae3fad5526853e6145f6eca7ea2405a327a9a
Homepage: https://cran.r-project.org/package=optimLanduse
Description: CRAN Package 'optimLanduse' (Robust Land-Use Optimization)
 Robust multi-criteria land-allocation optimization that explicitly accounts
 for the uncertainty of the indicators in the objective function. Solves the
 problem of allocating scarce land to various land-use options with regard to
 multiple, coequal indicators. The method aims to find the land allocation
 that represents the indicator composition with the best possible trade-off
 under uncertainty. optimLanduse includes the actual optimization procedure
 as described by Knoke et al. (2016) <doi:10.1038/ncomms11877> and the
 post-hoc calculation of the portfolio performance as presented by Gosling et
 al. (2020) <doi:10.1016/j.jenvman.2020.110248>.

Package: r-cran-optimmodel
Architecture: all
Version: 2.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-optimmodel_2.0-3-1.ca2004.1_all.deb
Size: 221220
MD5sum: 727dbcf158a5b247e150e20e4d4f01d7
SHA1: ddc369f254d7c0baddd51d34be17d601e0f7e66f
SHA256: fd51cde7216202e78e134b82e3bf5eea83480d1fcd9713f2735447284a95b576
SHA512: 690280b66bbbe050055490f1893a5748e56651dafc46b351ff95c95940fec28e8d948a9293f9d0b127b1b95141e0ae407cd92ed02a71673a9d11313c46b0002d
Homepage: https://cran.r-project.org/package=OptimModel
Description: CRAN Package 'OptimModel' (Perform Nonlinear Regression Using 'optim' as the OptimizationEngine)
 A wrapper for 'optim' for nonlinear regression problems; see Nocedal J and
 Write S (2006, ISBN: 978-0387-30303-1).  Performs ordinary least squares
 (OLS), iterative re-weighted least squares (IRWLS), and maximum likelihood
 (MLE). Also includes the robust outlier detection (ROUT) algorithm; see
 Motulsky, H and Brown, R (2006) <doi:10.1186/1471-2105-7-123>.

Package: r-cran-optimos.prime
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyverse, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-optimos.prime_0.1.2-1.ca2004.1_all.deb
Size: 51088
MD5sum: 261bedad5a06cd22d5270c055d93061a
SHA1: c601cd1575708e3f970ad9ec87736ab079a6206f
SHA256: cd1ce213a7dbc3cc42da4c789ba5538ccf3e9cecb5dbfe76daeb439b96690aad
SHA512: f2b731c180062a0423f1bc447631308cdf8318ae6da17744c45ace8332fdf9a1aa5c80c8fcc511ac61b5dec2815c7f834ba96a156acdcf10f400e20512074a9e
Homepage: https://cran.r-project.org/package=optimos.prime
Description: CRAN Package 'optimos.prime' (Optimos Prime Helps Calculate Autoecological Data for BiologicalSpecies)
 Calculates autoecological data (optima and tolerance ranges) of a biological
 species given an environmental matrix. The package calculates by weighted
 averaging, using the number of occurrences to adjust the tolerance assigned
 to each taxon to estimate optima and tolerance range in cases where taxa
 have unequal occurrences. See the detailed methodology by Birks et al.
 (1990) <doi:10.1098/rstb.1990.0062>, and a case example by Potapova and
 Charles (2003) <doi:10.1046/j.1365-2427.2003.01080.x>.

Package: r-cran-optimparallel
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.rsp, r-cran-roxygen2, r-cran-spam, r-cran-microbenchmark, r-cran-testthat, r-cran-ggplot2, r-cran-numderiv, r-cran-lbfgsb3c
Filename: pool/dists/focal/main/r-cran-optimparallel_1.0-2-1.ca2004.1_all.deb
Size: 201220
MD5sum: 80fb82bd8c23ada2fd39258196c1c9d8
SHA1: 4037bfd3aa69e07256b3f0cc2e545dc50a8e8e5b
SHA256: bd2ff37bccfd82ee98743d28e060d7e416813812526ffe6ed6d34c887ecfd822
SHA512: c6edf28725ea1efa0ea40440f0f1f97373638e312b8263db9b33394f3de2463e8e644800d25f93764acfdf45dab22d7d9f41bf92dcea171ff535f7c2e44e2f7c
Homepage: https://cran.r-project.org/package=optimParallel
Description: CRAN Package 'optimParallel' (Parallel Version of the L-BFGS-B Optimization Method)
 Provides a parallel version of the L-BFGS-B method of optim(). The main
 function of the package is optimParallel(), which has the same usage and
 output as optim(). Using optimParallel() can significantly reduce the
 optimization time.

Package: r-cran-optimr
Architecture: all
Version: 2019-12.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optextras, r-cran-numderiv, r-cran-setrng, r-cran-rvmmin, r-cran-rcgmin
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimr_2019-12.16-1.ca2004.1_all.deb
Size: 126544
MD5sum: 0e99c01cbd0087cdaf840ed546184a9a
SHA1: ac67b5fe0b2732ce45557befa901103b37d291d2
SHA256: 8737adb00d3f10d7fe5048a36377253ee8d7cb418fd485f88653463e1b2dc879
SHA512: 196a3c47b82286fc37d40dc05bd40b8b0c3f1fdd67c3a8e751c579d7cdb95929bbc9ce81776c9a99df0e633b4925077570b723ab2db4ac89e98d923d69ffb322
Homepage: https://cran.r-project.org/package=optimr
Description: CRAN Package 'optimr' (A Replacement and Extension of the 'optim' Function)
 Provides a test of replacement and extension of the optim() function to
 unify and streamline optimization capabilities in R for smooth, possibly box
 constrained functions of several or many parameters. This version has a
 reduced set of methods and is intended to be on CRAN.

Package: r-cran-optimsimplex
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimbase
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimsimplex_1.0-8-1.ca2004.1_all.deb
Size: 380684
MD5sum: be43c78980adcf1e48934ae8c6d70192
SHA1: 486afd859f5620510c7256ef36fd79d3af4bb1b1
SHA256: de9b3935746a472c71959b3e9b46555184e732f14b93a466a6ab172ee725c1a1
SHA512: 536f01c0ac03ad50c15ec1ddac126fb971bc8d3b86703b9e61abccd39034639e403ae276601a5bad647c73e6ba1ba72dde00ee30dde2e5d75ba8563de1fcb623
Homepage: https://cran.r-project.org/package=optimsimplex
Description: CRAN Package 'optimsimplex' (R Port of the 'Scilab' Optimsimplex Module)
 Provides a building block for optimization algorithms based on a simplex.
 The 'optimsimplex' package may be used in the following optimization
 methods: the simplex method of Spendley et al. (1962)
 <doi:10.1080/00401706.1962.10490033>, the method of Nelder and Mead (1965)
 <doi:10.1093/comjnl/7.4.308>, Box's algorithm for constrained optimization
 (1965) <doi:10.1093/comjnl/8.1.42>, the multi-dimensional search by Torczon
 (1989) <https://www.cs.wm.edu/~va/research/thesis.pdf>, etc...

Package: r-cran-optimstrat
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-mvtnorm, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-optimstrat_2.4-1.ca2004.1_all.deb
Size: 85524
MD5sum: df3758622165514e0cb394bbfae89487
SHA1: 9ecde383488ba0302c459825fc111ad1448d0d0f
SHA256: d84ce66579f06825f4d6fbe5230c593d86cd5f2f77515d7abeed1f9f9a1453cd
SHA512: 1dd5361f538ee8f343ccf1849c3062f710d74804cb881eb531f81973c00007b8b1457d1df8a2a9881318b6d82ef2a0ccc563c7771905e211a12f5814df0eaf46
Homepage: https://cran.r-project.org/package=optimStrat
Description: CRAN Package 'optimStrat' (Choosing the Sample Strategy)
 Intended to assist in the choice of the sampling strategy to implement in a
 survey.

Package: r-cran-optimus
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvabund, r-cran-ordinal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optimus_0.2.0-1.ca2004.1_all.deb
Size: 108280
MD5sum: 7e7797c79adbbc75022078082295df88
SHA1: d15243de336e394a61fae9d89ca40741347ebd8d
SHA256: 440d6ddbbfa2ae56cb34915ee23f0f100b67104948ed2353366257e0a6cf26f0
SHA512: 1f8cf05067efe3b139f4ca139c651096cdcf8787ed4803aa8e5b45b7968f731211f89c699c2eb3dbf461924cd95f361e8c385bc23fba1f4af9938fbd22d33ebb
Homepage: https://cran.r-project.org/package=optimus
Description: CRAN Package 'optimus' (Model Based Diagnostics for Multivariate Cluster Analysis)
 Assessment and diagnostics for comparing competing clustering solutions,
 using predictive models. The main intended use is for comparing
 clustering/classification solutions of ecological data (e.g.
 presence/absence, counts, ordinal scores) to 1) find an optimal partitioning
 solution, 2) identify characteristic species and 3) refine a classification
 by merging clusters that increase predictive performance. However, in a more
 general sense, this package can do the above for any set of clustering
 solutions for i observations of j variables.

Package: r-cran-optimx
Architecture: all
Version: 2025-4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-nloptr, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-setrng, r-cran-bb, r-cran-ucminf, r-cran-minqa, r-cran-dfoptim, r-cran-lbfgsb3c, r-cran-lbfgs, r-cran-subplex, r-cran-marqlevalg, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-optimx_2025-4.9-1.ca2004.1_all.deb
Size: 2527032
MD5sum: f0b9ba80988d0216d8a47fa81416d0b6
SHA1: 92e4f54da7748e39bc643b994cc57d4744e27583
SHA256: c44079ddce8ed2bedd7e0034d406183cbe3d25b094359a12b37972431e954b11
SHA512: 4cee2360cd333f10d692211463ddf50afa98277a82969d344cfc8c7a2beb0665e5871a70a0b449ef30fee465a27ad9798a0bc13842e83553fe54c2ff3569e313
Homepage: https://cran.r-project.org/package=optimx
Description: CRAN Package 'optimx' (Expanded Replacement and Extension of the 'optim' Function)
 Provides a replacement and extension of the optim() function to call to
 several function minimization codes in R in a single statement. These
 methods handle smooth, possibly box constrained functions of several or many
 parameters. Note that function 'optimr()' was prepared to simplify the
 incorporation of minimization codes going forward. Also implements some
 utility codes and some extra solvers, including safeguarded Newton methods.
 Many methods previously separate are now included here.  This is the version
 for CRAN.

Package: r-cran-optinterim
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-clinfun
Filename: pool/dists/focal/main/r-cran-optinterim_3.0.1-1.ca2004.1_all.deb
Size: 368240
MD5sum: b848190ca2cc709819aa52e7cd7c3c52
SHA1: 81972049e84ce71662350003fd66fbb1e05495e9
SHA256: f291a3d4cb92749eff88b9df0829fcbcfe9c3888be06546266420f297be17870
SHA512: 06f1cc1d4574d156430244d887ff4382640dec9d8cd4b17a9c7744c3a6c5b4be343a8e33162755590053c3b99ca51a683aeccb8e46ed2497ef6825188e52fc2c
Homepage: https://cran.r-project.org/package=OptInterim
Description: CRAN Package 'OptInterim' (Optimal Two and Three Stage Designs for Single-Arm and Two-ArmRandomized Controlled Trials with a Long-Term Binary Endpoint)
 Optimal two and three stage designs monitoring time-to-event endpoints at a
 specified timepoint

Package: r-cran-optinterv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve, r-cran-distances, r-cran-weights, r-cran-boot, r-cran-lattice, r-cran-pbapply, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optinterv_0.1.0-1.ca2004.1_all.deb
Size: 98788
MD5sum: 7b7384f1cec218284c313453379bb765
SHA1: 3cb4ed7daa7f3fdbddb9f142f6299cd375f6e499
SHA256: 15cf9c8c7a041f4b80d0b252f1dc41d40b590a3f80aeaa6d4a2e24d55667beff
SHA512: 565d158dcb69eee0c3bbfe5c0abc7984fca7c8729199df7ade3f45680781fb2bba72e27c2ae39d05165cd421dfaa2cf1e739bba75d0d94d4b0e35732e0ad9f50
Homepage: https://cran.r-project.org/package=optinterv
Description: CRAN Package 'optinterv' (Optimal Intervention)
 Provides both parametric and non-parametric estimates of the correlates of
 some desired outcome (e.g. test scores, income) using a new method proposed
 by Danieli, Devi and Fryer (2019). This method relaxes the assumption that
 one can alter individual characteristics in any way the data suggest is
 optimal, and so can be used anytime one wants to use observational data to
 better optimize social experiments designed to increase some desired
 outcome.

Package: r-cran-optional
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optional_2.0.1-1.ca2004.1_all.deb
Size: 33980
MD5sum: 0b207fe6f222201e1f6904b132c005d9
SHA1: 4ea258daa96eea9f85ef7956bf37b9c1be977035
SHA256: 47871c54e7950f56fa8994a7517a48f29c38f701edc3d69a2e732d4b090d147b
SHA512: 20403023896d198bb9a5f1e48d9ff1d7902c624d667d608e5a16d6084d9c606ac6d599af0d45fc17825bc5d081fe743bb4bf0aefdcfe963014d8b6c27a78ac90
Homepage: https://cran.r-project.org/package=optional
Description: CRAN Package 'optional' (Optional Types and Pattern Matching)
 Introduces optional types with some() and none, as well as match_with() from
 functional languages.

Package: r-cran-optionpricing
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optionpricing_0.1.2-1.ca2004.1_all.deb
Size: 111684
MD5sum: e4c5e1548c78abf6ddc5a6c3d15933ee
SHA1: c9803a33e7bd9143905fc77b8e7b02858648d1f6
SHA256: cafb4a7802bccf607dc831ddbfc9b056a6034ee6fc72a61098819bc603b76933
SHA512: 0156d1ed017612e8807245d42c67c7fd867a4ca26b38a56f806790b7fcc331962476975d284a4d52e7a3b5205d08ca4ef35c95cdb7ef75a7aaad19a4ec707c2c
Homepage: https://cran.r-project.org/package=OptionPricing
Description: CRAN Package 'OptionPricing' (Option Pricing with Efficient Simulation Algorithms)
 Efficient Monte Carlo Algorithms for the price and the sensitivities of
 Asian and European Options under Geometric Brownian Motion.

Package: r-cran-options
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-crayon, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rcmdcheck, r-cran-pkgload, r-cran-withr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-options_0.3.1-1.ca2004.1_all.deb
Size: 132928
MD5sum: ff1b48c85d1057e41facb9feb608285a
SHA1: c752154c014dd649896aa398fe290f3149b694f3
SHA256: c9e8008830bc4fb22b31d8830f73754b1453b093b4c5b2d40538700af008163c
SHA512: 1389e9aa3e5dbb62d0334d4a81144971a4ba7f6b2d61b66e2df9dace9a0e20a46217354578e6ddab6fc2bf879f93c08910a0441481da3c3ca81a5491afb644ce
Homepage: https://cran.r-project.org/package=options
Description: CRAN Package 'options' (Simple, Consistent Package Options)
 Simple mechanisms for defining and interpreting package options. Provides
 helpers for interpreting environment variables, global options, defining
 default values and more.

Package: r-cran-optionstrat
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optionstrat_1.4.1-1.ca2004.1_all.deb
Size: 108632
MD5sum: df5b9c2a2cfcf64d32146bafdff4b07d
SHA1: c23853c1674917f228c93685d62b9040e97cd238
SHA256: 4c3326a40bd364ad0f85f4b2bb84c46e78b96b4e32030bad626968ead8b1e99e
SHA512: 1d4c09e59d219327f4d8ae92cdfe5f9efe60a6ba01fb39f64451dd77f9cf1a85957e0d15cf5c6b32bcf3013b27109e7e8545910c17257b18e1f42128674f2309
Homepage: https://cran.r-project.org/package=optionstrat
Description: CRAN Package 'optionstrat' (Utilizes the Black-Scholes Option Pricing Model to PerformStrategic Option Analysis and Plot Option Strategies)
 Utilizes the Black-Scholes-Merton option pricing model to calculate key
 option analytics and perform graphical analysis of various option
 strategies.  Provides functions to calculate the option premium and option
 greeks of European-style options.

Package: r-cran-optirum
Architecture: all
Version: 0.40.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-auc, r-cran-knitr, r-cran-plyr, r-cran-scales, r-cran-stringr, r-cran-xml
Suggests: r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-optirum_0.40.1-1.ca2004.1_all.deb
Size: 118956
MD5sum: 2d506b4ab6a921dd65aa9b175eb2a3ef
SHA1: 720294c56669b4d15432d34bbc19d24090eb1dbc
SHA256: b0c34029285a942dbdfacc1d5912f0dee220a16b0b12b8f70ec1c84be3fd9e5c
SHA512: 36a0e8dcea15f84236d55c4356113842fb2e04a61515b178047fe271b016914cbe1e441f3cc62f829127215647de791d35c5835169c2ce64259e692283f8d5f8
Homepage: https://cran.r-project.org/package=optiRum
Description: CRAN Package 'optiRum' (Financial Functions & More)
 This fills the gaps credit analysts and loan modellers at Optimum Credit
 identify in the existing R code body.  It allows for the production of
 documentation with less coding, replicates a number of Microsoft Excel
 functions useful for modelling loans (without rounding), and other helpful
 functions for producing charts and tables.  It also has some additional
 scales for use, including a GBP scale.

Package: r-cran-optiscale
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-optiscale_1.2.3-1.ca2004.1_all.deb
Size: 60884
MD5sum: eab5c69640efbc14699e63cb0e1af434
SHA1: 40f50b9ab4bd04fce81d09269281ba698f082846
SHA256: 8faeff826c07eccfbac563dcabc937b33ccc35caa8634ac176a5c7ae58a7c349
SHA512: 9cabe7d1a8160f9820c20d914454ac62902f955f670d3921824d7260134fad513faff975ef77bf0a2f74b78c13d78347b35f27cd6489ded144368cec68a4d5bb
Homepage: https://cran.r-project.org/package=optiscale
Description: CRAN Package 'optiscale' (Optimal Scaling)
 Optimal scaling of a data vector, relative to a set of targets, is obtained
 through a least-squares transformation subject to appropriate measurement
 constraints. The targets are usually predicted values from a statistical
 model. If the data are nominal level, then the transformation must be
 identity-preserving. If the data are ordinal level, then the transformation
 must be monotonic. If the data are discrete, then tied data values must
 remain tied in the optimal transformation. If the data are continuous, then
 tied data values can be untied in the optimal transformation.

Package: r-cran-optisembleforecasting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-keras, r-cran-tsutils, r-cran-readxl, r-cran-tibble, r-cran-tensorflow, r-cran-metrics, r-cran-forecast, r-cran-dplyr, r-cran-neuralnet, r-cran-mcs, r-cran-caretforecast, r-cran-kknn, r-cran-metaheuristicopt, r-cran-factominer, r-cran-factoextra
Filename: pool/dists/focal/main/r-cran-optisembleforecasting_0.1.0-1.ca2004.1_all.deb
Size: 53752
MD5sum: fcbf2ca4a199c9a07ceb12d873479b7b
SHA1: 84ca59a5a369c4cf5ae5602f8b00f3ca3195ab59
SHA256: 832e575be87d6b01df8e4a9735af94e6ca3ad9b44d35ea35ac8fe19c4073f049
SHA512: afb29481b817baa26a26bc677ce0c3a4ac6c523628b4cd958ef1d8f65424252990aad520f73215e7f5d2d81f8b5e37d607b83e9f381820f4c5d06005ca5b1fec
Homepage: https://cran.r-project.org/package=OptiSembleForecasting
Description: CRAN Package 'OptiSembleForecasting' (Optimization Based Ensemble Forecasting Using MCS Algorithm)
 The real-life data is complex in nature. No single model can capture all
 aspect of complex time series data. In this package, 14 models, namely
 Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), Long Short-Term
 Memory (LSTM), Bidirectional LSTM, Deep LSTM, Artificial Neural Network
 (ANN), Support Vector Regression (SVR), Random Forest (RF), k-Nearest
 Neighbour (KNN), XGBoost (XGB), Autoregressive Integrated Moving Average
 (ARIMA), Error-Trend-Seasonality (ETS) and TBATS models, have been
 implemented and their accuracy have been checked. An PCA based error index
 has been proposed to select a group of best models using MCS algorithms.
 After selecting the models, the forecasts from these models have been
 ensembled using optimization techniques. This package allows to implement 20
 optimization techniques, namely, Artificial Bee Colony (ABC), Ant Lion
 Optimizer (ALO), Bat Algorithm (BA), Black Hole Optimization Algorithm
 (BHO), Clonal Selection Algorithm (CLONALG), Cuckoo Search (CS), Cat Swarm
 Optimization (CSO), Dragonfly Algorithm (DA), Differential Evolution (DE),
 Firefly Algorithm (FFA), Genetic Algorithm (GA), Gravitational Based Search
 Algorithm (GBS), Grasshopper Optimisation Algorithm (GOA), Grey Wolf
 Optimizer (GWO), Harmony Search Algorithm (HS), Krill-Herd Algorithm (KH),
 Moth Flame Optimizer (MFO), Particle Swarm Optimization (PSO), Sine Cosine
 Algorithm (SCA), Shuffled Frog Leaping (SFL) and Whale Optimization
 Algorithm (WOA). This package has been developed using concept of Wang et
 al. (2022) <doi:10.1016/j.apm.2022.09.004>, Qu et al. (2022)
 <doi:10.1016/j.eswa.2022.118746> and Kriz (2019)
 <doi:10.1007/978-3-030-18195-6_21 >.

Package: r-cran-optisolve
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-shapes, r-cran-alabama, r-cran-cccp, r-cran-nloptr, r-cran-mass, r-cran-plyr, r-cran-stringr, r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-optisolve_1.0-1.ca2004.1_all.deb
Size: 800140
MD5sum: 0a5c9245f3a30f77cf71ecb5a57f2a76
SHA1: eb5e22b8228c33943bc578b841298ac2cb9b7242
SHA256: 82c5ab95deafee7db9495043ff289ada641ee67876b7b7bb127b502d7696c20a
SHA512: 0b82ee31197010a2ebecaa4c79724943cf09c6336edd822c72b044221a5bea1961ba2f680865d7d6eae57e813c736ca1ba9e1b2e359e1bde752c5237d368b555
Homepage: https://cran.r-project.org/package=optiSolve
Description: CRAN Package 'optiSolve' (Linear, Quadratic, and Rational Optimization)
 Solver for linear, quadratic, and rational programs with linear, quadratic,
 and rational constraints. A unified interface to different R packages is
 provided. Optimization problems are transformed into equivalent formulations
 and solved by the respective package. For example, quadratic programming
 problems with linear, quadratic and rational constraints can be solved by
 augmented Lagrangian minimization using package 'alabama', or by sequential
 quadratic programming using solver 'slsqp'.  Alternatively, they can be
 reformulated as optimization problems with second order cone constraints and
 solved with package 'cccp'.

Package: r-cran-optistock
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1206
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-shiny, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-optistock_0.0.2-1.ca2004.1_all.deb
Size: 640448
MD5sum: 506f6ba629a02c41fb055c3374f77a64
SHA1: 937e84b988159fcd58052d7c3777cab05a2fd78a
SHA256: 30057fbe57b5e6120f297e3e1a2219c86297b1121fa61fc8ab739c358012a001
SHA512: 36d06c40aa0b11c2b5704d78f03291641a64b1fd70ed2d88df5e5add663f6ee41ae814ff78c26bb14736af7a3c6fdcf4a8318b09740bd3c8622a40240873f89e
Homepage: https://cran.r-project.org/package=optistock
Description: CRAN Package 'optistock' (Determine Optimum Stocking Times Used in Fishery Enhancements)
 A collection of functions that aid in calculating the optimum time to stock
 hatchery reared fish into a body of water given the growth, mortality and
 cost of raising a particular number of individuals to a certain length.

Package: r-cran-optm
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sizer
Filename: pool/dists/focal/main/r-cran-optm_0.1.9-1.ca2004.1_all.deb
Size: 220364
MD5sum: dc6938bd248b692b7f79193534e873fe
SHA1: 5d3e2bd38d191244248c5475ab8420a8920f023f
SHA256: d2c29eea77679c6cab366df1a47d61a6f0e9f905ba70abb626f752c1d4d3d329
SHA512: 557f382a18d06590320a91250ded4806bd4c56467f54b3b140a0e2eac70d1a16490527d11180057393c05f83547d0a094cceba3d0b94de43a93d398e864372ff
Homepage: https://cran.r-project.org/package=OptM
Description: CRAN Package 'OptM' (Estimating the Optimal Number of Migration Edges from 'Treemix')
 The popular population genetic software 'Treemix' by 'Pickrell and
 Pritchard' (2012) <DOI:10.1371/journal.pgen.1002967> estimates the number of
 migration edges on a population tree.  However, it can be difficult to
 determine the number of migration edges to include. Previously, it was
 customary to stop adding migration edges when 99.8% of variation in the data
 was explained, but 'OptM' automates this process using an ad hoc statistic
 based on the second-order rate of change in the log likelihood.  'OptM' also
 has added functionality for various threshold modeling to compare with the
 ad hoc statistic.

Package: r-cran-optparse
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-getopt
Suggests: r-cran-knitr, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optparse_1.7.5-1.ca2004.1_all.deb
Size: 75392
MD5sum: 0c054b07edc991c664babef87e3d2bdf
SHA1: 87d18d1dd4f02979733b84a0504feba94f327f74
SHA256: 2fc95a4e8ec34fd0cecd92fe77c657dd2fc9968e38695eca24b12e8422471f38
SHA512: c960c2148d47c087c2d8061dbfb9a7b89f4f4dd8b6b66afcddcc0e72a102b0c155faa62a61a24cd6b02ef71949a0712e188112b44fdb364714208942f74df7a2
Homepage: https://cran.r-project.org/package=optparse
Description: CRAN Package 'optparse' (Command Line Option Parser)
 A command line parser inspired by Python's 'optparse' library to be used
 with Rscript to write "#!" shebang scripts that accept short and long
 flag/options.

Package: r-cran-optr
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-optr_1.2.5-1.ca2004.1_all.deb
Size: 86724
MD5sum: 5dfec66b3ae32d30c173908705187d30
SHA1: 5d806c3e6da661a61287a034a3c27eeee10ff1c7
SHA256: 8a918404ee4232ccbf692b996c7a3d3503c4a2ce7e289d19ea053165273a323b
SHA512: e2624753077dbe957ac039e4915ca69220bb7820080a3f3b055749447a7883c708942f7ac2be739d80fd9025e8c2d9b14f0888a57598c70513d4ab8b0dff96f2
Homepage: https://cran.r-project.org/package=optR
Description: CRAN Package 'optR' (Optimization Toolbox for Solving Linear Systems)
 Solves linear systems of form Ax=b via Gauss elimination, LU decomposition,
 Gauss-Seidel, Conjugate Gradient Method (CGM) and Cholesky methods.

Package: r-cran-optrcdmaeat
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-optrcdmaeat_1.0.1-1.ca2004.1_all.deb
Size: 141500
MD5sum: cb7196181af9ba899d7e38e663f480ab
SHA1: 5e1be91a6f062daedf0086b373db86d196d9e40f
SHA256: 9004275c431c9c9048f1e49f565337500ee15bc8fe153e06bfdfd499d0c78b79
SHA512: b41e6d906f80eac61723ac2399fb16928a2532489469308c82bdc661647aa6d4e925acfb271738fef065c93831ad8e3042af8db5a2cd6fea14c5a00bb32b755c
Homepage: https://cran.r-project.org/package=optrcdmaeAT
Description: CRAN Package 'optrcdmaeAT' (Optimal Row-Column Designs for Two-Colour cDNA MicroarrayExperiments)
 Computes A-, MV-, D- and E-optimal or near-optimal row-column designs for
 two-colour cDNA microarray experiments using the linear fixed effects and
 mixed effects models where the interest is in a comparison of all pairwise
 treatment contrasts. The algorithms used in this package are based on the
 array exchange and treatment exchange algorithms adopted from Debusho,
 Gemechu and Haines (2018) <doi:10.1080/03610918.2018.1429617> algorithms
 after adjusting for the row-column designs setup. The package also provides
 an optional method of using the graphical user interface (GUI) R package
 tcltk to ensure that it is user friendly.

Package: r-cran-optrees
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-optrees_1.0-1.ca2004.1_all.deb
Size: 162216
MD5sum: c7c98070b81c96b2515c8f644b5d865b
SHA1: 15cf114c4bccb08e927234d3459f112de7f0d8e1
SHA256: 547e76725bcfedf0e45e4105fd04e0d4d9cf9b6b861c5e311b80ec8d546d1b43
SHA512: 4e091e9f8664db01bc50eafa0084d42ff7a8de0fff09630aea409866d378438b9fbad0ef2ee89eeda62efc35ba68d71950280d4aea75c0e4854aa1b3eb2525ff
Homepage: https://cran.r-project.org/package=optrees
Description: CRAN Package 'optrees' (Optimal Trees in Weighted Graphs)
 Finds optimal trees in weighted graphs. In particular, this package provides
 solving tools for minimum cost spanning tree problems, minimum cost
 arborescence problems, shortest path tree problems and minimum cut tree
 problem.

Package: r-cran-optrefine
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-rglpk, r-cran-sampling, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optrefine_1.1.0-1.ca2004.1_all.deb
Size: 317808
MD5sum: f5a97db79648626606aeec41460962a4
SHA1: 71af714064f5d39046eb159d38fdc0eb562d41d6
SHA256: a4ea9d8db5448eba1f573fe0c181bd495f1f40f3416315e686d7fbd5145d5f10
SHA512: 5581e05960dd8e8309b053e517cba425490a734518121d896a7c4de30f3b4f7929c3aad78612a9fdca989186383ed3aad39efa54bca52c9d0336af068a4c7dd8
Homepage: https://cran.r-project.org/package=optrefine
Description: CRAN Package 'optrefine' (Optimally Refine Strata)
 Splits initial strata into refined strata that optimize covariate balance.
 For more information, please email the author for a copy of the accompanying
 manuscript. To solve the linear program, the 'Gurobi' commercial
 optimization software is recommended, but not required. The 'gurobi' R
 package can be installed following the instructions at
 <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

Package: r-cran-optrf
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 942
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minpack.lm, r-cran-ranger, r-cran-irr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-optrf_1.2.1-1.ca2004.1_all.deb
Size: 571396
MD5sum: 0448320c65dac683c9d809895c8e3d60
SHA1: 5670961829a820dfa16357f78a36524779e7ee19
SHA256: 37fc1b3b27b44cd08cea7b878e2e3e3e0dc8b87d5200bff9f238687707a85592
SHA512: 92e053023d380a9dfc9dc37cb879e79d71f6bf945ba4a3d843d592840fc295178d2493f257136115ef2f6495a821bb5560139fd5326497c390508980ce1c2c0e
Homepage: https://cran.r-project.org/package=optRF
Description: CRAN Package 'optRF' (Optimising Random Forest Stability by Determining the OptimalNumber of Trees)
 Calculating the stability of random forest with certain numbers of trees.
 The non-linear relationship between stability and numbers of trees is
 described using a logistic regression model and used to estimate the optimal
 number of trees.

Package: r-cran-opts
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-cvtools, r-cran-changepoint
Filename: pool/dists/focal/main/r-cran-opts_0.1-1.ca2004.1_all.deb
Size: 29148
MD5sum: e08e76f3ff57025b20fc0757d70823ca
SHA1: 1f5c46ed8fa85c91f2c35126891d9da6c833b2b9
SHA256: c94928ac9dc7cad6e2757aee97f3ea06a5da5aed4627d078a44d638bdeab0a54
SHA512: 34267f066dbdd2b05c8e742344c46bdd380220ded0c46ff5ec81ad6ac62bc998bfed4779dce11af9adbd22111a660c589f85a7c406b4ca4312f5f6e8f59c986c
Homepage: https://cran.r-project.org/package=OPTS
Description: CRAN Package 'OPTS' (Optimization via Subsampling (OPTS))
 Subsampling based variable selection for low dimensional generalized linear
 models. The methods repeatedly subsample the data minimizing an information
 criterion (AIC/BIC) over a sequence of nested models for each subsample.
 Marinela Capanu, Mihai Giurcanu, Colin B Begg, Mithat Gonen, Subsampling
 based variable selection for generalized linear models.

Package: r-cran-optsig
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pwr
Filename: pool/dists/focal/main/r-cran-optsig_2.2-1.ca2004.1_all.deb
Size: 100004
MD5sum: e338b087afd1d4efa9c30d9f1cd587e6
SHA1: dd8bd4afaabb4e66ebad1d1a864d3198b984090d
SHA256: de16e52a8ccbc3a8dd96e5ba7fa4e8f6836fadd8ecdcf3b232cd9774edf12e1e
SHA512: 49aa8e006f0e91fb06f1480b6e2b224e90b58c1efe5330dd655e4c5fbcdc9130e68778aa071475a5ee2d84b789feda75bcfcf4740855104ee6e9bc5045998f4f
Homepage: https://cran.r-project.org/package=OptSig
Description: CRAN Package 'OptSig' (Optimal Level of Significance for Regression and OtherStatistical Tests)
 The optimal level of significance is calculated based on a
 decision-theoretic approach. The optimal level is chosen so that the
 expected loss from hypothesis testing is minimized. A range of statistical
 tests are covered, including the test for the population mean, population
 proportion, and a linear restriction in a multiple regression model.  The
 details are covered in Kim and Choi (2020) <doi:10.1111/abac.12172>, and Kim
 (2021) <doi:10.1080/00031305.2020.1750484>.

Package: r-cran-opttesting
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rootsolve, r-cran-quantreg, r-cran-rspectra
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-opttesting_1.0.0-1.ca2004.1_all.deb
Size: 60536
MD5sum: ab657cf54dcf8114eec18db7fe75fa55
SHA1: 4391ac02c68578a175841c64bc15716cbd44bd7e
SHA256: 2f7673fca924d31b76bf808546f37b80fe03119598cf9e2764358c4db28c184d
SHA512: 71be39e1cf5a86505d1c84f42cecf4a7aa7b3a43ca0e3c95cf900c5e4c09b123f3f2c5d6b4e71be077fd794c16598dc946cf894b8411d73efe2f7cf186598621
Homepage: https://cran.r-project.org/package=OPTtesting
Description: CRAN Package 'OPTtesting' (Optimal Testing)
 Optimal testing under general dependence. The R package implements
 procedures proposed in Wang, Han, and Tong (2022). The package includes
 parameter estimation procedures, the computation for the posterior
 probabilities, and the testing procedure.

Package: r-cran-optweight
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-osqp, r-cran-matrix, r-cran-ggplot2
Suggests: r-cran-cobalt, r-cran-twang
Filename: pool/dists/focal/main/r-cran-optweight_0.2.5-1.ca2004.1_all.deb
Size: 219372
MD5sum: 354460fe6ff572296ac3c7163283c9de
SHA1: 94221f1910eb52956c295657e06f7efcbbee80a3
SHA256: 44fe80d9314d5aafb8d7355f8660e6313af57a984ccf8e5882e9e937ad41dbbc
SHA512: a4238d8e835056b366a9695cb4cdae0fd842c628d396516466bc312440f9bfeef557115aa3d5204f24c554a36ecb4da04e172fe36a411b5ef9e49232f3a3163a
Homepage: https://cran.r-project.org/package=optweight
Description: CRAN Package 'optweight' (Targeted Stable Balancing Weights Using Optimization)
 Use optimization to estimate weights that balance covariates for binary,
 multinomial, and continuous treatments in the spirit of Zubizarreta (2015)
 <doi:10.1080/01621459.2015.1023805>. The degree of balance can be specified
 for each covariate. In addition, sampling weights can be estimated that
 allow a sample to generalize to a population specified with given target
 moments of covariates.

Package: r-cran-opvar
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vinecopula, r-cran-tea, r-cran-actuar, r-cran-truncnorm, r-cran-reins, r-cran-mass, r-cran-pracma, r-cran-evmix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-opvar_1.2-1.ca2004.1_all.deb
Size: 282356
MD5sum: c0a6cf8d1d5884e9eec86cd383bd4b61
SHA1: 2ad32dc36bfb3a709e240f4a0bacc2d67bd19cea
SHA256: b9d4c633c62d37bb7cf1f58e2b73517da5ba729f508be27313bcc51c8e6ffabf
SHA512: fbed440c9bdad2aadfc8d94afe241e1519f21f706ab8a486325891b210d18b36202988c3053b71a9b98e8f23b1321062ff7b889864a13ed763ec2f176337f223
Homepage: https://cran.r-project.org/package=OpVaR
Description: CRAN Package 'OpVaR' (Statistical Methods for Modelling Operational Risk)
 Functions for computing the value-at-risk in compound Poisson models.  The
 implementation comprises functions for modeling loss frequencies and loss
 severities with plain, mixed (Frigessi et al. (2012)
 <doi:10.1023/A:1024072610684>) or spliced distributions using Maximum
 Likelihood estimation and Bayesian approaches (Ergashev et al. (2013)
 <doi:10.21314/JOP.2013.131>).  In particular, the parametrization of tail
 distributions includes the fitting of Tukey-type distributions (Kuo and
 Headrick (2014) <doi:10.1155/2014/645823>). Furthermore, the package
 contains the modeling of bivariate dependencies between loss severities and
 frequencies, Monte Carlo simulation for total loss estimation as well as a
 closed-form approximation based on Degen (2010) <doi:10.21314/JOP.2010.084>
 to determine the value-at-risk.

Package: r-cran-orakle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4637
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-mlmetrics, r-cran-mumin, r-cran-r.utils, r-cran-caret, r-cran-survival, r-cran-countrycode, r-cran-doparallel, r-cran-dplyr, r-cran-ggthemes, r-cran-glmnet, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-mgcv, r-cran-patchwork, r-cran-purrr, r-cran-xml2, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-orakle_1.0.1-1.ca2004.1_all.deb
Size: 4243724
MD5sum: b5d2be1ae33ecd9d122ea9165b598807
SHA1: 9f61c99f01099abac1db92b498c43c973886e889
SHA256: 79c306452e8471f1a6d0e91e88a0f556c8d118e2c525fc09029284438e345bd1
SHA512: bd150f853ba7a4d4ef071b7be5d887855fc49083edf9f3130c4d7e268db6502d7d74664a3852b57debc63b0aaa930e078f930f8a3456f2b7c38f26dd101ce6b0
Homepage: https://cran.r-project.org/package=oRaklE
Description: CRAN Package 'oRaklE' (Multi-Horizon Electricity Demand Forecasting in High Resolution)
 Advanced forecasting algorithms for long-term energy demand at the national
 or regional level. The methodology is based on Grandón et al. (2024)
 <doi:10.1016/j.apenergy.2023.122249>; Zimmermann & Ziel (2024)
 <doi:10.1016/j.apenergy.2025.125444>. Real-time data, including power
 demand, weather conditions, and macroeconomic indicators, are provided
 through automated API integration with various institutions. The modular
 approach maintains transparency on the various model selection processes and
 encompasses the ability to be adapted to individual needs. 'oRaklE' tries to
 help facilitating robust decision-making in energy management and planning.

Package: r-cran-oralopioids
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 820
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-purrr, r-cran-plyr, r-cran-jsonlite, r-cran-reshape2, r-cran-stringr, r-cran-openxlsx, r-cran-rvest, r-cran-xml2, r-cran-rlang, r-cran-magrittr, r-cran-httr, r-cran-writexl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-oralopioids_2.0.4-1.ca2004.1_all.deb
Size: 686916
MD5sum: 65e084b613bd81f4c5731bc1f8d09469
SHA1: 1379ac25495cf25cd76d2bf4bd08d147da653804
SHA256: 2190bfd7253405636997baa83d4e1614981a34614f19cc47309c31501793e1da
SHA512: 42175fb74f008fdc9e7415d2dcb4235cd3db2e7e3f1eb4271aa81688a3991a7b098139996af6b8d295b955e7f29f7aff32e98cfa11d4974791408ed249b4bb01
Homepage: https://cran.r-project.org/package=OralOpioids
Description: CRAN Package 'OralOpioids' (Retrieving Oral Opioid Information)
 Provides details such as Morphine Equivalent Dose (MED), brand name and
 opioid content which are calculated of all oral opioids authorized for sale
 by Health Canada and the FDA based on their Drug Identification Number (DIN)
 or National Drug Code (NDC).  MEDs are calculated based on recommendations
 by Canadian Institute for Health Information (CIHI) and Von Korff et al
 (2008) and information obtained from Health Canada's Drug Product Database's
 monthly data dump or FDA Daily database for Canadian and US databases
 respectively.  Please note in no way should output from this package be a
 substitute for medical advise.  All medications should only be consumed on
 prescription from a licensed healthcare provider.

Package: r-cran-orbital
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-rlang
Suggests: r-cran-arrow, r-cran-bonsai, r-cran-dbi, r-cran-dbplyr, r-cran-dtplyr, r-cran-duckdb, r-cran-embed, r-cran-glue, r-cran-gt, r-cran-hardhat, r-cran-jsonlite, r-cran-kknn, r-cran-knitr, r-cran-modeldata, r-cran-parsnip, r-cran-partykit, r-cran-r6, r-cran-recipes, r-cran-rmarkdown, r-cran-rsqlite, r-cran-rstanarm, r-cran-sparklyr, r-cran-testthat, r-cran-themis, r-cran-tibble, r-cran-tidypredict, r-cran-workflows
Filename: pool/dists/focal/main/r-cran-orbital_0.3.0-1.ca2004.1_all.deb
Size: 135996
MD5sum: e75ce52e8d46134ba29c217da714789f
SHA1: f48bc06cbeedd37150e672a0a718767c43382eb9
SHA256: fe629f8b38f3a9fa998c560a71dfecabd0d730cde6e909a78eae66e6798a935f
SHA512: f51272286908dfe1949a8cf3b9e5eecb724fe8513d03fb675cc6ad6f35b6b880d5f32977b29bb30419b46025021f4c4b28cdb9d352723012b05440d818b5e0cd
Homepage: https://cran.r-project.org/package=orbital
Description: CRAN Package 'orbital' (Predict with 'tidymodels' Workflows in Databases)
 Turn 'tidymodels' workflows into objects containing the sufficient
 sequential equations to perform predictions. These smaller objects allow for
 low dependency prediction locally or directly in databases.

Package: r-cran-orcamentobr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-orcamentobr_1.0.4-1.ca2004.1_all.deb
Size: 58876
MD5sum: 83ef23bd26657a6cf28e6626312cc238
SHA1: a712b0b0ac726e30279faa2eeb404a2c5044a574
SHA256: 683895f3608c678f03a3d1e9831a68dff3cd9e0b288ad9b066aeb53cd3c8e7a5
SHA512: 2a285d94356135b41815a2a152bd1108416532d976855170008c08b14cfa0a75f92632a0f3a80386d4c397dd753a8bf69b046befce8cbe6a647ab90b496fd22a
Homepage: https://cran.r-project.org/package=orcamentoBR
Description: CRAN Package 'orcamentoBR' (Download Official Data on Brazil's Federal Budget)
 Allows users to download and analyze official data on Brazil's federal
 budget through the 'SPARQL' endpoint provided by the Integrated Budget and
 Planning System ('SIOP'). This package enables access to detailed
 information on budget allocations and expenditures of the federal
 government, making it easier to analyze and visualize these data. Technical
 information on the Brazilian federal budget is available (Portuguese only)
 at <https://www1.siop.planejamento.gov.br/mto/>.  The 'SIOP' endpoint is
 available at <https://www1.siop.planejamento.gov.br/sparql/>.

Package: r-cran-orci
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn, r-cran-blakerci, r-cran-propcis
Filename: pool/dists/focal/main/r-cran-orci_1.1-1.ca2004.1_all.deb
Size: 49968
MD5sum: a96877b3d59a29aa90bc43007d6db0d9
SHA1: 39c4ed4057de18d9687543e0bd51bc14009ae328
SHA256: 4db7f61bbb9c0844663be302daa0b428caf10ad53136ea916140ced41f1fadaa
SHA512: 34b8181e6a2dca2956eaad8d84ccdce36f3175fa6119c80931a2c019a15f0d88aa121fb5533ec47195a72a86af5892099fd02c2dbe125bd29e10abf698c28b4b
Homepage: https://cran.r-project.org/package=ORCI
Description: CRAN Package 'ORCI' (Several confidence intervals for the odds ratio)
 Computes various confidence intervals for the odds ratio of two independent
 binomial proportions.

Package: r-cran-orclus
Architecture: all
Version: 0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-orclus_0.2-6-1.ca2004.1_all.deb
Size: 61052
MD5sum: 37cad640a2f9b5f3167dd189d1619923
SHA1: 8faf16dd4e94e0957c8dee637183abaa368aaf8f
SHA256: 2e8bf6fea0246d78818e253905f30622b4fc42d15c87bb1f579e516b539fd5fc
SHA512: 950bc2b31cf3ae21d56f7591c4af3693652ccd545554a7e614acbfd0818f9700573f0e7d2109dbe72deccc605ea000f2060f5e897cf2d66edfe94e30afc467f4
Homepage: https://cran.r-project.org/package=orclus
Description: CRAN Package 'orclus' (Subspace Clustering Based on Arbitrarily Oriented ProjectedCluster Generation)
 Functions to perform subspace clustering and classification.

Package: r-cran-orcme
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso
Filename: pool/dists/focal/main/r-cran-orcme_2.0.2-1.ca2004.1_all.deb
Size: 129492
MD5sum: c51cefdc75a5b150dd118ba99f519098
SHA1: 6b51d5c5589bb3e93766a2eb08d6632bac9c5d36
SHA256: 48ec2a96de6ca7dfa5a508be7da8b377549f3e469f88997fb610d67592abe787
SHA512: f82a94e7a3453e3d22d44666625e5f77c3eb6208901518234875a8773b7bb8c4b0d1932879064c62596ad88fdacade0fd17ef70e2456cb3a7456be9ee8496903
Homepage: https://cran.r-project.org/package=ORCME
Description: CRAN Package 'ORCME' (Order Restricted Clustering for Microarray Experiments)
 Provides clustering of genes with similar dose response (or time course)
 profiles. It implements the method described by Lin et al. (2012).

Package: r-cran-orcutt
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-orcutt_2.3-1.ca2004.1_all.deb
Size: 37980
MD5sum: 8a6f2225863bf721c7a3d265606cf7d8
SHA1: f3cc8b07b70436f87ead7afe2d406db5a0b191b0
SHA256: cd988cb0f3d9667465d76605b392ebc14c6e0d0f2b3c60d61bd4b271b1f03ab9
SHA512: ba57fa3a3cf780e1c7535d733572eea598414fb6f358d92f41f49094df4e5f085e531d65c9bdcb716173245ad01d95d8162a12c508bb4e2f5bd209c052cb7f26
Homepage: https://cran.r-project.org/package=orcutt
Description: CRAN Package 'orcutt' (Estimate Procedure in Case of First Order Autocorrelation)
 Solve first order autocorrelation problems using an iterative method. This
 procedure estimates both autocorrelation and beta coefficients recursively
 until we reach the convergence (8th decimal as default). The residuals are
 computed after estimating Beta using EGLS approach and Rho is estimated
 using the previous residuals.

Package: r-cran-ordbetareg
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7329
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-scales, r-cran-stringr, r-cran-abind, r-cran-checkmate, r-cran-insight, r-cran-rstantools
Suggests: r-cran-rmarkdown, r-cran-quarto, r-cran-knitr, r-cran-gt, r-cran-modelsummary, r-cran-marginaleffects, r-cran-haven, r-cran-hmisc, r-cran-collapse, r-cran-ggthemes, r-cran-glmmtmb, r-cran-mice, r-cran-bayestestr, r-cran-gganimate, r-cran-transformr, r-cran-declaredesign
Filename: pool/dists/focal/main/r-cran-ordbetareg_0.8-1.ca2004.1_all.deb
Size: 5597648
MD5sum: 1dcec6752a7b05ce63f05b7e95fd7a99
SHA1: ca9c0d9c3ad52a720c46c216da2b5899753a32fd
SHA256: 1bb6f64e47906c2d68a957859943406c280b69bd585a2a1ba20bb6ee987dbb20
SHA512: 62721b970017672b17b725ce407e2f5af29a94fb6695448bcfc8c0d8c441febda927a8b0755873f8db0167050cf10fdd88a577e99edd316360c4d5a4d3ba1ad2
Homepage: https://cran.r-project.org/package=ordbetareg
Description: CRAN Package 'ordbetareg' (Ordered Beta Regression Models with 'brms')
 Implements ordered beta regression models, which are for modeling continuous
 variables with upper and lower bounds, such as survey sliders, dose-response
 relationships and indexes. For more information, see Kubinec (2023)
 <doi:10.31235/osf.io/2sx6y>. The package is a front-end to the R package
 'brms', which facilitates a range of regression specifications, including
 hierarchical, dynamic and multivariate modeling.

Package: r-cran-ordcd
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-grbase, r-cran-mass, r-cran-bnlearn, r-cran-igraph, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ordcd_1.1.2-1.ca2004.1_all.deb
Size: 47192
MD5sum: da8eda136755ee1046e032feeaca96d1
SHA1: 320147756381e41832dd6bed20c2f3367ece2121
SHA256: cf52d1691dfc246907898b1d3b2461dbe8aa157a31fe99c48eec79b548aadaf4
SHA512: b39dd85c2c18053082672aece77f3998a1ca2bbff45dd07ea2410b4481809874dfdbd3bc340adc8783f3b75d4229343e4baa3acee46ef3cb0f0c232aed7d9e56
Homepage: https://cran.r-project.org/package=OrdCD
Description: CRAN Package 'OrdCD' (Ordinal Causal Discovery)
 Algorithms for ordinal causal discovery. This package aims to enable users
 to discover causality for observational ordinal categorical data with greedy
 and exhaustive search. See Ni, Y., & Mallick, B. (2022)
 <https://proceedings.mlr.press/v180/ni22a/ni22a.pdf> "Ordinal Causal
 Discovery. Proceedings of the 38th Conference on Uncertainty in Artificial
 Intelligence, (UAI 2022), PMLR 180:1530–1540".

Package: r-cran-ordcrm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms
Filename: pool/dists/focal/main/r-cran-ordcrm_1.0.0-1.ca2004.1_all.deb
Size: 155556
MD5sum: 964ea62fe2b52c01e058bbbbae0fbc9d
SHA1: df70313ae8b8968d1b3d2358c9d55e6befe6a03d
SHA256: 9d5b719a479d1bb323519a9fbe776187407b2c556ceb3611372a533349fd6e1b
SHA512: e83910849e0c36db20745164657917df37b3dff4f6a8c8934084da385c10f52a7f45aa5dc192ffc6d8eb98a1b9b3ef562119bddae173c282f42ef0bb75923606
Homepage: https://cran.r-project.org/package=ordcrm
Description: CRAN Package 'ordcrm' (Likelihood-Based Continual Reassessment Method (CRM) DoseFinding Designs)
 Provides the setup and calculations needed to run a likelihood-based
 continual reassessment method (CRM) dose finding trial and performs
 simulations to assess design performance under various scenarios. 3 dose
 finding designs are included in this package: ordinal proportional odds
 model (POM) CRM, ordinal continuation ratio (CR) model CRM, and the binary
 2-parameter logistic model CRM.  These functions allow customization of
 design characteristics to vary sample size, cohort sizes, target
 dose-limiting toxicity (DLT) rates, discrete or continuous dose levels,
 combining ordinal grades 0 and 1 into one category, and incorporate safety
 and/or stopping rules.  For POM and CR model designs, ordinal toxicity
 grades are specified by common terminology criteria for adverse events
 (CTCAE) version 4.0.  Function 'pseudodata' creates the necessary starting
 models for these 3 designs, and function 'nextdose' estimates the next dose
 to test in a cohort of patients for a target DLT rate.  We also provide the
 function 'crmsimulations' to assess the performance of these 3 dose finding
 designs under various scenarios.

Package: r-cran-orddisp
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-orddisp_2.1.2-1.ca2004.1_all.deb
Size: 82564
MD5sum: 54d87b82566acb9a88c84aa5a708bb4f
SHA1: 446b8754cd6951c224c71eb94700f2a44b4168e8
SHA256: e8f1eb7b9530aa5bc4177b6fbc9fbe196f91724323269501e4f895179b1a7e91
SHA512: 79fd0c5048787af8b6b65f82125121c4d0bef42c8d770e3c063436fa9774e2dcb372105e603637357d214f74a286418c983f57264cd994edbc3515d06955f176
Homepage: https://cran.r-project.org/package=ordDisp
Description: CRAN Package 'ordDisp' (Separating Location and Dispersion in Ordinal Regression Models)
 Estimate location-shift models or rating-scale models accounting for
 response styles (RSRS) for the regression analysis of ordinal responses.

Package: r-cran-ordensity
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-distances, r-cran-rfast, r-cran-plyr, r-cran-foreach, r-cran-dorng, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-ordensity_1.0-1.ca2004.1_all.deb
Size: 597060
MD5sum: cf64ab3364ea61ca9eba7f1fe3cb7139
SHA1: f98c7409c78b0281c3f5c7445eafa8f0d9cb5ba9
SHA256: d141ea6763b1d2194d2145cb0417ba6498810f2a7fe6fa8df89c8fabb003af86
SHA512: 4c772ccb0aa06e89885824a0bf0104c745facfb190bd377ef872b9864dc68012a34ba0eec3d290b5cab862433eb7752926b4d6a1bb85a870308ad5c27e2c7ce2
Homepage: https://cran.r-project.org/package=ORdensity
Description: CRAN Package 'ORdensity' (Identification of Differentially Expressed Genes)
 Automated discovery of differentially expressed genes. The method (called
 ORdensity) is composed of two phases: discovering potential differentially
 expressed genes and recognizing differentially expressed genes. It makes use
 of a permutation resampling procedure to build outlying and density indexes.
 References: a) Irigoien, I. and Arenas, C. (2018). "Identification of
 differentially expressed genes by means of outlier detection".
 <doi:10.1186/s12859-018-2318-8>. b) Martínez-Otzeta, J. M., Irigoien, I.,
 Sierra, B., and Arenas, C. (2020). "ORdensity: user-friendly R package to
 identify differentially expressed genes". <doi:10.1186/s12859-020-3463-4>.

Package: r-cran-order2parent
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-order2parent_1.0-1.ca2004.1_all.deb
Size: 35524
MD5sum: b7c2e8b9c2c66571163f20b6cb8b75e7
SHA1: a7fd8f8f7891f0392a1cfdc8666a30644065cffa
SHA256: ccfbbdaf84cbb03f12e8effec090ddf5bc6d6636f5392d1e7168525aab43f53f
SHA512: 911b049d02a9a54dcb6403b84f0c5643f82a4d4f51ecdf231f600a9d62acc62a0f6a619cd31ae1fdfc9957b047002dc88cf2125fed2227e5ae005849484b8c38
Homepage: https://cran.r-project.org/package=ORDER2PARENT
Description: CRAN Package 'ORDER2PARENT' (Estimate parent distributions with data of several orderstatistics)
 This package uses B-spline based nonparametric smooth estimators to estimate
 parent distributions given observations on multiple order statistics.

Package: r-cran-orderanalyzer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyselect, r-cran-data.table, r-cran-dplyr, r-cran-matrixcalc, r-cran-quanteda, r-cran-rlist, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-digest, r-cran-lubridate
Suggests: r-cran-pdftools, r-cran-tesseract, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-orderanalyzer_1.0.0-1.ca2004.1_all.deb
Size: 368832
MD5sum: 2a18b6611f32772ad28c51a97e938a89
SHA1: fef1da5b69d5ad719bcd7b861972e3bb2b3c343d
SHA256: b26bcc3586e76671791c46964b2af67a52d13f775078fe07f8a8f4611ab83ff7
SHA512: 9664d9f4ddaf5545122c6819f7519a90b4b6dc3fb9dc23a87290d7901a24f051127f2fac46e6fdb4bf12a7cae4629e4f34493bbcd5d771e2e74979b2b1049655
Homepage: https://cran.r-project.org/package=orderanalyzer
Description: CRAN Package 'orderanalyzer' (Extracting Order Position Tables from PDF-Based Order Documents)
 Functions for extracting text and tables from PDF-based order documents. It
 provides an n-gram-based approach for identifying the language of an order
 document. It furthermore uses R-package 'pdftools' to extract the text from
 an order document. In the case that the PDF document is only including an
 image (because it is scanned document), R package 'tesseract' is used for
 OCR. Furthermore, the package provides functionality for identifying and
 extracting order position tables in order documents based on a clustering
 approach.

Package: r-cran-orderbook
Architecture: all
Version: 1.03-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1084
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-hash
Filename: pool/dists/focal/main/r-cran-orderbook_1.03-1.ca2004.1_all.deb
Size: 462832
MD5sum: f0016185d38e0de77d37c2deca0c747e
SHA1: d192b2aae19125b38b63704d8002036464b87e1c
SHA256: 0422cd590ec9b590db0f866ad86235001d854325cd9fe7b73b3cdecc6c2706fa
SHA512: 20d764a26563d2694a3dddb2eb2a8930fc5b6a735f875b50469c4011d28d24b9069a9fd73980c99cff7ea4487b80812237cad63a589e10a285a94203c047a103
Homepage: https://cran.r-project.org/package=orderbook
Description: CRAN Package 'orderbook' (Orderbook visualization/Charting software)
 Functions for visualizing and retrieving data for the state of an orderbook
 at a particular period in time.

Package: r-cran-ordering
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ordering_0.7.0-1.ca2004.1_all.deb
Size: 21372
MD5sum: d061c54cbd7fab0ff27b8f536339f4c7
SHA1: 3c1fcede8db0b7a82fb360a5b494d0f815582f37
SHA256: d1b2810d55ce774ab677a76af01e7b37fe3620e0ef96c22aff9ff99436d5eca6
SHA512: 66566ea99d9d01ea3519152022c416b32b1543d45b268fb13b4a3975c4d6ff2e96f7ddafa392a0619927115fb4a9b54927d05f7b629c4f4250a562e525054379
Homepage: https://cran.r-project.org/package=ordering
Description: CRAN Package 'ordering' (Test, Check, Verify, Investigate the Monotonic Properties ofVectors)
 Functions to test/check/verify/investigate the ordering of vectors.  The
 'is_[strictly_]*' family of functions test vectors for 'sorted',
 'monotonic', 'increasing', 'decreasing' order; 'is_constant' and
 'is_incremental' test for the degree of ordering. `ordering` provides a
 numeric indication of ordering -2 (strictly decreasing) to 2 (strictly
 increasing).

Package: r-cran-orderly
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1335
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-r6, r-cran-rsqlite, r-cran-crayon, r-cran-digest, r-cran-docopt, r-cran-fs, r-cran-gert, r-cran-ids, r-cran-withr, r-cran-yaml, r-cran-zip
Suggests: r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-markdown, r-cran-mockery, r-cran-processx, r-cran-rmarkdown, r-cran-testthat, r-cran-vaultr
Filename: pool/dists/focal/main/r-cran-orderly_1.4.3-1.ca2004.1_all.deb
Size: 920908
MD5sum: 79f510a986e649dffe9291a4efb4cb3e
SHA1: d0242c27bbcd69279f742d4b5955d84a39f61318
SHA256: 00ff3f88e2002144a84420b2ddf5c924dd3ebdd15c9d9bb37b7a076d6cc31272
SHA512: 9905a8f534d1dd2a3e9cfac5c6c472741a2803cb7d7366dfbf21a1f3a146a6ca6e2222884ceb90de6eb54469f503e158ddae0e4e9a8eb47aae920cd304f7fa9e
Homepage: https://cran.r-project.org/package=orderly
Description: CRAN Package 'orderly' (Lightweight Reproducible Reporting)
 Order, create and store reports from R.  By defining a lightweight interface
 around the inputs and outputs of an analysis, a lot of the repetitive work
 for reproducible research can be automated.  We define a simple format for
 organising and describing work that facilitates collaborative reproducible
 research and acknowledges that all analyses are run multiple times over
 their lifespans.

Package: r-cran-orders
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-newdistns, r-cran-gamlss.dist, r-cran-actuar, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-orders_0.1.8-1.ca2004.1_all.deb
Size: 125660
MD5sum: 6a66ba70733adfca2e8ec46c1188adb0
SHA1: 8d12ccca79d7ec1a662e34ad4c0a06af627bbfc3
SHA256: 23d15a4607afc6f00b605e6379ebfeb3654c33bd97c7e409b46663d214b7b32e
SHA512: 749b8d82c14b9a100af59871f2e829bb1e1ba6b5cd1dd95bb4d28dbd4723d1c8b649070dc1d9ef2d80d49d56d53bd8596daafb04ca754b043644c9b1549c821f
Homepage: https://cran.r-project.org/package=orders
Description: CRAN Package 'orders' (Sampling from k-th Order Statistics of New Families ofDistributions)
 Set of tools to generate samples of k-th order statistics and others
 quantities of interest from new families of distributions.  The main
 references for this package are: C. Kleiber and S. Kotz (2003) Statistical
 size distributions in economics and actuarial sciences; Gentle, J. (2009),
 Computational Statistics, Springer-Verlag; Naradajah, S. and Rocha, R.
 (2016), <DOI:10.18637/jss.v069.i10> and Stasinopoulos, M. and Rigby, R.
 (2015), <DOI:10.1111/j.1467-9876.2005.00510.x>.  The families of
 distributions are: Benini distributions, Burr distributions, Dagum
 distributions, Feller-Pareto distributions, Generalized Pareto
 distributions, Inverse Pareto distributions, The Inverse Paralogistic
 distributions, Marshall-Olkin G distributions, exponentiated G
 distributions, beta G distributions, gamma G distributions, Kumaraswamy G
 distributions, generalized beta G distributions, beta extended G
 distributions, gamma G distributions, gamma uniform G distributions, beta
 exponential G distributions, Weibull G distributions, log gamma G I
 distributions, log gamma G II distributions, exponentiated generalized G
 distributions, exponentiated Kumaraswamy G distributions, geometric
 exponential Poisson G distributions, truncated-exponential skew-symmetric G
 distributions, modified beta G distributions, exponentiated exponential
 Poisson G distributions, Poisson-inverse gaussian distributions, Skew normal
 type 1 distributions, Skew student t distributions, Singh-Maddala
 distributions, Sinh-Arcsinh distributions, Sichel distributions, Zero
 inflated Poisson distributions.

Package: r-cran-orderstats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-orderstats_0.1.0-1.ca2004.1_all.deb
Size: 23192
MD5sum: 92c96aed57852bb75e9ac41c0aa90e4f
SHA1: ade65dbfe75b5a95c868585e8f041847d1d25803
SHA256: 7ae6c7c546fd3eb1c6af42617887017c9dad60c4c3eebfe051e5b127229c4684
SHA512: 4dae0b652f786d78b5bc04f10461e491cd9004a71a337f276afe704efc699cca2fe4bba0f6a8be2d170462f178284521fe134be2b2038d2688a0d6deb858ae75
Homepage: https://cran.r-project.org/package=orderstats
Description: CRAN Package 'orderstats' (Efficiently Generates Random Order Statistic Variables)
 All the methods in this package generate a vector of uniform order
 statistics using a beta distribution and use an inverse cumulative
 distribution function for some distribution to give a vector of random order
 statistic variables for some distribution. This is much more efficient than
 using a loop since it is directly sampling from the order statistic
 distribution.

Package: r-cran-ordfacreg
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-eha, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ordfacreg_1.0.6-1.ca2004.1_all.deb
Size: 73588
MD5sum: 89926e8d3a7903ba5c99364f78aca332
SHA1: f06ed25a0605f728d587d5fd039c6a2c480ba808
SHA256: cab74141c0f7114c8df331b980f6de1ad5f7734b3d9cded49652f3e0ca74eb4b
SHA512: 109b1b4f200f998c4d5816e39d26573a25a7248dea26c211edd7abac185e3ba0b87e65d7c09298e355eecbd45532d0f950e4495835191a4f7ce60de4017ec78d
Homepage: https://cran.r-project.org/package=OrdFacReg
Description: CRAN Package 'OrdFacReg' (Least Squares, Logistic, and Cox-Regression with OrderedPredictors)
 In biomedical studies, researchers are often interested in assessing the
 association between one or more ordinal explanatory variables and an outcome
 variable, at the same time adjusting for covariates of any type. The outcome
 variable may be continuous, binary, or represent censored survival times. In
 the absence of a precise knowledge of the response function, using
 monotonicity constraints on the ordinal variables improves efficiency in
 estimating parameters, especially when sample sizes are small. This package
 implements an active set algorithm that efficiently computes such
 estimators.

Package: r-cran-ordgam
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2267
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cubicbsplines, r-cran-matrix, r-cran-mgcv, r-cran-marqlevalg, r-cran-sn, r-cran-mass, r-cran-numderiv, r-cran-ucminf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ordgam_0.9.1-1.ca2004.1_all.deb
Size: 1308348
MD5sum: 4c8e95d1eb61177cbef49a084af534eb
SHA1: c1f2560f8242edd8887be1d5de9d3b9b7fd86b01
SHA256: ce6abb6c0f1107a8a7b4c871cbbc96fb3e98a84a9de65c9b7f2e84cfb1aba5f3
SHA512: d522c549ff9f210f8470cabd7adccb4e9978933fcae4fd95ee33262d9796b05b0a429f322929fb3b9f6373c9d239e3e8ee4603b34fb288734ff00991ad87bb51
Homepage: https://cran.r-project.org/package=ordgam
Description: CRAN Package 'ordgam' (Additive Model for Ordinal Data using Laplace P-Splines)
 Additive proportional odds model for ordinal data using Laplace P-splines.
 The combination of Laplace approximations and P-splines enable fast and
 flexible inference in a Bayesian framework. Specific approximations are
 proposed to account for the asymmetry in the marginal posterior
 distributions of non-penalized parameters. For more details, see Lambert and
 Gressani (2023) <doi:10.1177/1471082X231181173> ; Preprint:
 <arXiv:2210.01668>).

Package: r-cran-ordibreadth
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-ordibreadth_1.0-1.ca2004.1_all.deb
Size: 73572
MD5sum: 61b1917de17f276e771799234538090c
SHA1: b65c6eb4d0a43f13a6aa1f93f43e6eaef281a8e8
SHA256: 54f4cfa4e9da650a472cf12fa6ce54da03676ea0a443d08a7ed13b1e65e1fe79
SHA512: 814170fd2d2a165457fc93e2b4eec2ec61443964d0eae96b9f81c62b654365032fe0b0864ef51ceb3f22cf69d9e572b97dce515d8b1a65acd4a158e1c4e0ef54
Homepage: https://cran.r-project.org/package=ordiBreadth
Description: CRAN Package 'ordiBreadth' (Ordinated Diet Breadth)
 Calculates ordinated diet breadth with some plotting functions.

Package: r-cran-ordinalbayes
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4392
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-deseq2, r-bioc-summarizedexperiment, r-cran-coda, r-cran-dclone, r-cran-runjags
Suggests: r-cran-knitr, r-bioc-biobase, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ordinalbayes_0.1.2-1.ca2004.1_all.deb
Size: 4329864
MD5sum: edae1ebcd894774c17615593d203bc45
SHA1: 8170587bbae119d91a171383bba63c119f1c75d3
SHA256: 0cc9fa8fcb90abbc4b6ce22fd0b96dbdb1fc389e819c83c435db0c977f6bf9a4
SHA512: 851d25f2d8158317b80c541215473e5b1f0d2079de97d114a067b6713279ffa9d83f6598215196fe7c676b1cfa2c6e581cccf0c72b822cd1aa18e8960c87b51e
Homepage: https://cran.r-project.org/package=ordinalbayes
Description: CRAN Package 'ordinalbayes' (Bayesian Ordinal Regression for High-Dimensional Data)
 Provides a function for fitting various penalized Bayesian cumulative link
 ordinal response models when the number of parameters exceeds the sample
 size. These models have been described in Zhang and Archer (2021)
 <doi:10.1186/s12859-021-04432-w>.

Package: r-cran-ordinalcont
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-deriv
Filename: pool/dists/focal/main/r-cran-ordinalcont_2.0.2-1.ca2004.1_all.deb
Size: 220420
MD5sum: 5ec0be5a8678b26b1bc0d3597c70d5f5
SHA1: 736acef2d7556506ab2329522d37a49db18966b1
SHA256: 41f3fafa95e715d728546e2b3cb0dfdb9bbddc08e72fb2b2f6d63ffa230a422f
SHA512: c45655b56bb508442d923d2f7d619a2d7743e7e2e19d53d0bd0ea61f4be0fa41f23b9d02d784fddce98a61e3dd9fcf4babfaf9c4210144ed5f28a5b09843d7b7
Homepage: https://cran.r-project.org/package=ordinalCont
Description: CRAN Package 'ordinalCont' (Ordinal Regression Analysis for Continuous Scales)
 A regression framework for response variables which are continuous
 self-rating scales such as the Visual Analog Scale (VAS) used in pain
 assessment, or the Linear Analog Self-Assessment (LASA) scales in quality of
 life studies. These scales measure subjects' perception of an intangible
 quantity, and cannot be handled as ratio variables because of their inherent
 non-linearity. We treat them as ordinal variables, measured on a continuous
 scale. A function (the g function) connects the scale with an underlying
 continuous latent variable. The link function is the inverse of the CDF of
 the assumed underlying distribution of the latent variable. A variety of
 link functions are currently implemented. Such models are described in
 Manuguerra et al (2020) <doi:10.18637/jss.v096.i08>.

Package: r-cran-ordinallbm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-ordinallbm_1.0-1.ca2004.1_all.deb
Size: 54548
MD5sum: 2fd4b71e170a886ca269504cbe975965
SHA1: dc6b03bb753b883589749316bafe2dee53efcbf5
SHA256: 6f6f418c999ddc3a0034d96ba2e7d75695c4c3aa00e7b67eb8abf9fd34841757
SHA512: 45ce743f53713d3a34d7bb2aa8624304926774fcf891a1ccf1078ede5af0e5761c2fb830c7b48236e863263dd774feccc74438ea87d0eb109c64cadf4e6cd434
Homepage: https://cran.r-project.org/package=ordinalLBM
Description: CRAN Package 'ordinalLBM' (Co-Clustering of Ordinal Data via Latent Continuous RandomVariables)
 It implements functions for simulation and estimation of the ordinal latent
 block model (OLBM), as described in Corneli, Bouveyron and Latouche (2019).

Package: r-cran-ordinallogisticbiplot
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mirt, r-cran-mass, r-cran-nominallogisticbiplot
Filename: pool/dists/focal/main/r-cran-ordinallogisticbiplot_0.4-1.ca2004.1_all.deb
Size: 169424
MD5sum: f6b75dd3f4f9abc458df0483785e7049
SHA1: 5a1ace1c1ce1a55c463d129ab0f742dacef33cd6
SHA256: 1622aba34ab8dc5a9f421cd170fe0fe748ce3b7ef7fd244150bdc2ab44b86da5
SHA512: bd603cfc48c00e157758ac638ce068f59d175b567f24c385ddb66c89570aa253190de0a504c3711f6c5a56f2af54d6ae0432423f5625c57b473caf284213face
Homepage: https://cran.r-project.org/package=OrdinalLogisticBiplot
Description: CRAN Package 'OrdinalLogisticBiplot' (Biplot representations of ordinal variables)
 Analysis of a matrix of polytomous items using Ordinal Logistic Biplots
 (OLB) The OLB procedure extends the binary logistic biplot to ordinal
 (polytomous) data.  The individuals are represented as points on a plane and
 the variables are represented as lines rather than vectors as in a classical
 or binary biplot, specifying the points for each of the categories of the
 variable.  The set of prediction regions is established by stripes
 perpendicular to the line between the category points, in such a way that
 the prediction for each individual is given by its projection into the line
 of the variable.

Package: r-cran-ordinalnet
Architecture: all
Version: 2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-mass, r-cran-glmnet, r-cran-penalized, r-cran-vgam, r-cran-rms
Filename: pool/dists/focal/main/r-cran-ordinalnet_2.13-1.ca2004.1_all.deb
Size: 118864
MD5sum: cc525a3258e0cb25906acbbf41c465a7
SHA1: e5d1d9fbb91298008ded0a2b15fd685111597557
SHA256: 3d2207e470e5a2fe750c7a4c75c25da51691b37ab0dd66951a20409f0820ce91
SHA512: 526110030ee4ad168ce331a82a7941de689944d93a6b0f0ceb9acc8d1acf50e53cb9d753bb43ae88352d2d01d5f8f20a11c5fbea54d4429ee9fb92249b13571b
Homepage: https://cran.r-project.org/package=ordinalNet
Description: CRAN Package 'ordinalNet' (Penalized Ordinal Regression)
 Fits ordinal regression models with elastic net penalty.  Supported model
 families include cumulative probability, stopping ratio, continuation ratio,
 and adjacent category. These families are a subset of vector glm's which
 belong to a model class we call the elementwise link multinomial-ordinal
 (ELMO) class. Each family in this class links a vector of covariates to a
 vector of class probabilities. Each of these families has a parallel form,
 which is appropriate for ordinal response data, as well as a nonparallel
 form that is appropriate for an unordered categorical response, or as a more
 flexible model for ordinal data. The parallel model has a single set of
 coefficients, whereas the nonparallel model has a set of coefficients for
 each response category except the baseline category. It is also possible to
 fit a model with both parallel and nonparallel terms, which we call the
 semi-parallel model. The semi-parallel model has the flexibility of the
 nonparallel model, but the elastic net penalty shrinks it toward the
 parallel model. For details, refer to Wurm, Hanlon, and Rathouz (2021)
 <doi:10.18637/jss.v099.i06>.

Package: r-cran-ordinalrr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-ordinalrr_1.1-1.ca2004.1_all.deb
Size: 73828
MD5sum: a67990ee062636a8762a5f995e0566e0
SHA1: 4a3fb15fa16bf3821813a831485eec0e1dc262e7
SHA256: 591f01d6fcf69a283e2fbb47d5b122d6b575ac4f0709f9987c67660a83ac0154
SHA512: 593871e45214175e6e6294b47f101fb32099d2e4d2e1c65557ecde1284a268d1c0633bcfa0390e851e97e6fa6c6bc6da5eba122a76a3f2dba1caafcdae9c1379
Homepage: https://cran.r-project.org/package=ordinalRR
Description: CRAN Package 'ordinalRR' (Analysis of Repeatability and Reproducibility Studies withOrdinal Measurements)
 Implements Bayesian data analyses of balanced repeatability and
 reproducibility studies with ordinal measurements. Model fitting is based on
 MCMC posterior sampling with 'rjags'. Function ordinalRR() directly carries
 out the model fitting, and this function has the flexibility to allow the
 user to specify key aspects of the model, e.g., fixed versus random effects.
 Functions for preprocessing data and for the numerical and graphical display
 of a fitted model are also provided. There are also functions for displaying
 the model at fixed (user-specified) parameters and for simulating a
 hypothetical data set at a fixed (user-specified) set of parameters for a
 random-effects rater population. For additional technical details, refer to
 Culp, Ryan, Chen, and Hamada (2018) and cite this Technometrics paper when
 referencing any aspect of this work. The demo of this package reproduces
 results from the Technometrics paper.

Package: r-cran-ordinalsimr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2021
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-bslib, r-cran-callr, r-cran-coin, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-golem, r-cran-rhandsontable, r-cran-rlang, r-cran-rms, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-tidyr, r-cran-withr
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-ordinalsimr_0.2.2-1.ca2004.1_all.deb
Size: 1879600
MD5sum: 535ce0c7c2658fda9d5b1b0ec4c33712
SHA1: 8c05b96413ddc88b062e8cbfc752515e019730f3
SHA256: e7722dfbd4a452f8bd03f18bf8e95d382a0ef0ba18464c8dabc4bfab9cd0fcd6
SHA512: a093403cfa8b7e60c5acc6c4d59212b4c3719d71ce78f0d6d95c2c7059c58cfe58951c3b40941b5f89db830a8e0dc54041635fa3881fc02201c01c33ce1c1bd9
Homepage: https://cran.r-project.org/package=ordinalsimr
Description: CRAN Package 'ordinalsimr' (Compare Ordinal Endpoints Using Simulations)
 Simultaneously evaluate multiple ordinal outcome measures. Applied data
 analysts in particular are faced with uncertainty in choosing appropriate
 statistical tests for ordinal data. The included 'shiny' application allows
 users to simulate outcomes given different ordinal data distributions.

Package: r-cran-ordmonreg
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ordmonreg_1.0.3-1.ca2004.1_all.deb
Size: 87572
MD5sum: c1ada64c512c94818034b84efa1c0026
SHA1: d32dac80147bc07974e7f6a7ea689f0dffc6e836
SHA256: e0a987b48a7e68ee0976d693d8857a77151d40f343088a75fcdac82954131206
SHA512: ab82ad2d2e663e56add7d48d99ef2f00f61d8ecf2209d71dac2b302d2dab2db007cfc1557ad02481a417d471cb5465154274cbc1bf54c104eeddee4b7d15ec5f
Homepage: https://cran.r-project.org/package=OrdMonReg
Description: CRAN Package 'OrdMonReg' (Compute least squares estimates of one bounded or two orderedisotonic regression curves)
 We consider the problem of estimating two isotonic regression curves g1* and
 g2* under the constraint that they are ordered, i.e. g1* <= g2*. Given two
 sets of n data points y_1, ..., y_n and z_1, ..., z_n that are observed at
 (the same) deterministic design points x_1, ..., x_n, the estimates are
 obtained by minimizing the Least Squares criterion L(a, b) = sum_{i=1}^n
 (y_i - a_i)^2 w1(x_i) + sum_{i=1}^n (z_i - b_i)^2 w2(x_i) over the class of
 pairs of vectors (a, b) such that a and b are isotonic and a_i <= b_i for
 all i = 1, ..., n. We offer two different approaches to compute the
 estimates: a projected subgradient algorithm where the projection is
 calculated using a PAVA as well as Dykstra's cyclical projection algorithm.

Package: r-cran-ordnor
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor, r-cran-matrix, r-cran-genord
Filename: pool/dists/focal/main/r-cran-ordnor_2.2.3-1.ca2004.1_all.deb
Size: 49012
MD5sum: 2b97e2e5000c2765fcbc2522472fc03f
SHA1: 25e54125e34251ff3d4937c55aad490b6ed412ae
SHA256: c43f89adc66cedfd3f0e3253fda87dcd61f7fe2dd94c75bc79c563b6b1b81db5
SHA512: 2de5bcbeece96b13f2bc542459070c6f734e801711e336ab88a6d2e3eef51cecf9a3d36f00137d528835ec20b1cec95138a31ea9976fa05bfa28fc067b1433b0
Homepage: https://cran.r-project.org/package=OrdNor
Description: CRAN Package 'OrdNor' (Concurrent Generation of Ordinal and Normal Data with GivenCorrelation Matrix and Marginal Distributions)
 Implementation of a procedure for generating samples from a mixed
 distribution of ordinal and normal random variables with a pre-specified
 correlation matrix and marginal distributions.  The details of the method
 are explained in Demirtas et al. (2015) <DOI:10.1080/10543406.2014.920868>.

Package: r-cran-ordpens
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-grplasso, r-cran-mgcv, r-cran-rlrsim, r-cran-quadprog, r-cran-glmpath, r-cran-ordinalnet
Suggests: r-cran-psy, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ordpens_1.1.0-1.ca2004.1_all.deb
Size: 1457836
MD5sum: d44521a94b517b13147814214819b8db
SHA1: 59e2c459aadbba25277dc6004aa86d6a538b6e41
SHA256: 2eb284795ff57b35df5d3f019e982ab8658db07abe5c2be4100d4d29e02b710b
SHA512: 95c1725e89b75cfff15243a5766875aeefccffc067c0af86b2102bd3a69c7f068abe6330f8f789722f519eef62cd134683b290e63a335ed3180509a4fe8fa685
Homepage: https://cran.r-project.org/package=ordPens
Description: CRAN Package 'ordPens' (Selection, Fusion, Smoothing and Principal Components Analysisfor Ordinal Variables)
 Selection, fusion, and/or smoothing of ordinally scaled independent
 variables using a group lasso, fused lasso or generalized ridge penalty, as
 well as non-linear principal components analysis for ordinal variables using
 a second-order difference/smoothing penalty.

Package: r-cran-ordr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1662
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-stringr, r-cran-tidyselect, r-cran-scales, r-cran-generics, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-labeling, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-sessioninfo, r-cran-gridextra, r-cran-mass, r-cran-mlpack, r-cran-vegan, r-cran-heplots, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ordr_0.1.1-1.ca2004.1_all.deb
Size: 1144312
MD5sum: 9c6297235300ea6b7238713c85fe3fd7
SHA1: 1abb4e0f35386538c52758c93ac5639cc0552fb6
SHA256: 281e1683e6c7d38834f906f782fe1028518541f35c80eb2db03b764c9f722226
SHA512: 43259ab73978188f69f4f2dd7bd10aba00f56844b7ecc608127901b288c0853efc72b0ee6e76dc9bd7164764f7786cf957bbe395ee423128305e8f068558b470
Homepage: https://cran.r-project.org/package=ordr
Description: CRAN Package 'ordr' (A 'tidyverse' Extension for Ordinations and Biplots)
 Ordination comprises several multivariate exploratory and explanatory
 techniques with theoretical foundations in geometric data analysis; see
 Podani (2000, ISBN:90-5782-067-6) for techniques and applications and Le
 Roux & Rouanet (2005) <doi:10.1007/1-4020-2236-0> for foundations.
 Greenacre (2010, ISBN:978-84-923846) shows how the most established of
 these, including principal components analysis, correspondence analysis,
 multidimensional scaling, factor analysis, and discriminant analysis, rely
 on eigen-decompositions or singular value decompositions of pre-processed
 numeric matrix data.  These decompositions give rise to a set of shared
 coordinates along which the row and column elements can be measured. The
 overlay of their scatterplots on these axes, introduced by Gabriel (1971)
 <doi:10.1093/biomet/58.3.453>, is called a biplot.  'ordr' provides
 inspection, extraction, manipulation, and visualization tools for several
 popular ordination classes supported by a set of recovery methods. It is
 inspired by and designed to integrate into 'tidyverse' workflows provided by
 Wickham et al (2019) <doi:10.21105/joss.01686>.

Package: r-cran-oreo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gridextra, r-cran-ggplot2, r-cran-openxlsx, r-cran-spectral, r-cran-pracma, r-cran-fftwtools, r-cran-scales
Filename: pool/dists/focal/main/r-cran-oreo_1.0-1.ca2004.1_all.deb
Size: 111932
MD5sum: f8791ddee8c5c5ae484bb81b9f5a720e
SHA1: 5209fa0f410ceb3ca89e63937d5506f8ad72fe1d
SHA256: 5d4d42215605fec9fdf20c346805515e965ffcc5a10b6522645e4b2841684b2c
SHA512: 2ff8e25723bec5f607dde3208600b1d004d60e6997b5a56bd9efd1d3c40ce377bd6d025951726bbab6970dc46b4e2f98242cd673bee3c121443c3888a7ca5810
Homepage: https://cran.r-project.org/package=oreo
Description: CRAN Package 'oreo' (Large Amplitude Oscillatory Shear (LAOS))
 The Sequence of Physical Processes (SPP) framework is a way of interpreting
 the transient data derived from oscillatory rheological tests. It is
 designed to allow both the linear and non-linear deformation regimes to be
 understood within a single unified framework. This code provides a
 convenient way to determine the SPP framework metrics for a given sample of
 oscillatory data. It will produce a text file containing the SPP metrics,
 which the user can then plot using their software of choice. It can also
 produce a second text file with additional derived data (components of
 tangent, normal, and binormal vectors), as well as pre-plotted figures if so
 desired. It is the R version of the Package SPP by Simon Rogers Group for
 Soft Matter (Simon A. Rogers, Brian M. Erwin, Dimitris Vlassopoulos, Michel
 Cloitre (2011) <doi:10.1122/1.3544591>).

Package: r-cran-ores
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ores_0.3.2-1.ca2004.1_all.deb
Size: 31888
MD5sum: 95772b6bb47d00a04318c91628ebc127
SHA1: 344d03b489f0a8a40391418e3733f68e3d06039c
SHA256: 6de8cfee16d521868edd53504d087fd853f8d07990478046f1736f6660669efe
SHA512: 82dc5e4817d2ca84aa21e0b5bd3f06ab40255de0285d1516793976e8c58b08cb83538cede3efb0830f724ed589f6b949afaec8a0025969bf6d13f083067fd24a
Homepage: https://cran.r-project.org/package=ores
Description: CRAN Package 'ores' (Connector to the Objective Revision Evaluation Service (ORES))
 A connector to ORES (<https://ores.wmflabs.org/>), an AI project to provide
 edit scoring for content on Wikipedia and other Wikimedia projects. This
 lets a researcher identify if edits are likely to be reverted, damaging, or
 made in good faith.

Package: r-cran-orfid
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-ggplot2, r-cran-stringr, r-cran-rlang, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-orfid_1.0.2-1.ca2004.1_all.deb
Size: 165652
MD5sum: 580aaaef8480597cf5943516168b6c35
SHA1: eae95e4f69555e90d3561b80f2b706e6080d6c6a
SHA256: d73bb1a59fc8fc67b06a7b1125562561069673e463932e57cb60e1fcedfe5e85
SHA512: 93d3a02252a23845da1faa36271529ff9a7fb9ad52d0e89da6d3b8abf2d3a47d5335b8788308fe07bf9afb20cc274978665b0debdcbf28f0d6b7558cd1fff945
Homepage: https://cran.r-project.org/package=ORFID
Description: CRAN Package 'ORFID' (Manage and Summarize Data from Oregon RFID ORMR and ORSR AntennaReaders)
 Automates and standardizes the import of raw data from Oregon RFID
 (radio-frequency identification) ORMR (Oregon RFID Multi-Reader) and ORSR
 (Oregon RFID Single Reader) antenna readers. Compiled data can then be
 combined within multi-reader arrays for further analysis, including
 summarizing tag and reader detections, determining tag direction, and
 calculating antenna efficiency.

Package: r-cran-org
Architecture: all
Version: 2024.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue
Filename: pool/dists/focal/main/r-cran-org_2024.6.5-1.ca2004.1_all.deb
Size: 93312
MD5sum: ad03f674c9f12aedae1910540ff2dfd9
SHA1: 31d5c9473d957695e4a476bbdf6d7b55fa741d09
SHA256: 1a268ef6f284366dbd664a887df2c29e10476430792a5cc2b3fd54531c29f2ba
SHA512: d064aa8f8066670291ca2f3b567f3dff903ad6e6ac74d0018cd50ff119566f2cbd08990e8c67f7c13a719d0bda600255fbc1e218652623489f5433c984829d48
Homepage: https://cran.r-project.org/package=org
Description: CRAN Package 'org' (Organising Projects)
 A system to help you organize projects. Most analyses have three (or more)
 main sections: code, results, and data, each with different requirements
 (version control/sharing/encryption). You provide folder locations and 'org'
 helps you take care of the details.

Package: r-cran-organizr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fs, r-cran-here, r-cran-readr, r-cran-rlang, r-cran-rstudioapi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-organizr_0.1.0-1.ca2004.1_all.deb
Size: 21348
MD5sum: d8286c18233845cb68e181d84f98fe53
SHA1: b4ab5974122b5898bf3a23e4a8e9030aac60d0ed
SHA256: 628823559dc6c5fe93fdeee885e67c1788bd9ec2b990c95e8eb09f96f501779f
SHA512: 3684b078201ae240bbdeb78349ae11be2a4b6be64d7dddd307bedd964f7e98eaf59e3c0edf415db49f4bcffce5610c6ae8213c27ad0c1f1d1e125008911b204d
Homepage: https://cran.r-project.org/package=organizr
Description: CRAN Package 'organizr' (Shortcuts for File Creation with Informative Prefixes)
 Provides functions for quickly creating R and Python scripts, as well as
 'Rmarkdown' or Quarto documents with automatically assigned name prefixes.
 Prefixes are either file counts (e.g. "001") or dates (e.g. "2022-09-26").

Package: r-cran-orgmassspecr
Architecture: all
Version: 0.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-orgmassspecr_0.5-3-1.ca2004.1_all.deb
Size: 230576
MD5sum: 85967c0a0326dc292e614586526dedca
SHA1: 0202f62946ef63c59be93e8630ce74c98edda409
SHA256: 707a98e2cb851f35e0bb2c579574ff70531554a38e2d777c462d1bdc869756ae
SHA512: c1f234f2e5bb1e2bdf157e610d3d89e9e4ca85723bcfc623ff46188441af97526b4ef48ead5da0d446e30116de15ad88a7ab4ebc4bd72456ffb5ac3e4631f239
Homepage: https://cran.r-project.org/package=OrgMassSpecR
Description: CRAN Package 'OrgMassSpecR' (Organic Mass Spectrometry)
 Organic/biological mass spectrometry data analysis.

Package: r-cran-orgr
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggthemes, r-cran-ggplot2, r-cran-lubridate, r-cran-data.table, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-orgr_0.9.0-1.ca2004.1_all.deb
Size: 33364
MD5sum: 143ed2ed5c78ba5cc4e4a21c62691d59
SHA1: bda035938c30c7e4a16a310214151db3ec9cd96a
SHA256: 43af4b76788b83e4c46d2b5857902680d3d8e2ed1049be6a3d7eac99a73af6ce
SHA512: 395df107df8aba3214a82a1675c7ccb8c4978fb69e06873ba9897349b4407b5a8ad1b0296c1df1c22fa0b5928b9df6dc8a484f065994e3dec64029784d168416
Homepage: https://cran.r-project.org/package=orgR
Description: CRAN Package 'orgR' (Analyse Text Files Created by Emacs' Org mode)
 Provides functionality to process text files created by Emacs' Org mode, and
 decompose the content to the smallest components (headlines, body, tag,
 clock entries etc).  Emacs is an extensible, customizable text editor and
 Org mode is for keeping notes, maintaining TODO lists, planning projects.
 Allows users to analyze org files as data frames in R, e.g., to
 convieniently group tasks by tag into project and calculate total working
 hours.  Also provides some help functions like search.parent, gg.pie
 (visualise working hours in ggplot2) and tree.headlines (visualise headline
 stricture in tree format) to help user managing their complex org files.

Package: r-cran-orgutils
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-textutils
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-orgutils_0.5-0-1.ca2004.1_all.deb
Size: 154856
MD5sum: 5221d1f35d0f5f924ae3f483f1afc747
SHA1: 50d233f0db4977b5138e94abd2acffaea6d00a77
SHA256: 2ce6c05b4ecb6be40dd2344070acd9b567dac3fe0e69ce8571f0ad8433930b37
SHA512: e7ab23f97eae085e1f195bae7673f848c75e11d69a9bfc246672c86020052096f4434f575dab2f6a1b50605f57a0ebc23c8078ce354b629822aa6f03a19bc373
Homepage: https://cran.r-project.org/package=orgutils
Description: CRAN Package 'orgutils' (Helper Functions for Org Files)
 Helper functions for Org files (<https://orgmode.org/>): a generic function
 'toOrg' for transforming R objects into Org markup (most useful for data
 frames; there are also methods for Dates/POSIXt) and a function to read Org
 tables into data frames.

Package: r-cran-oriclust
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oriclust_1.0-2-1.ca2004.1_all.deb
Size: 264648
MD5sum: 133dffa77302e2777beda72928bf84ca
SHA1: 2afe46ef790c08a9cc51bf7ac1e10f9db6db1ce4
SHA256: 10113e04448d421971cb6af18c5cb5abf08b6d5cb2931123741024e805340386
SHA512: 13cf5d7fe59294cba475940c12a016ec0a40b3928c2e8209f511a04e90efb7f53fb5f58f4d4d55d6142c7578c20d24badda6518c065fb59f334ad16c5efd260c
Homepage: https://cran.r-project.org/package=ORIClust
Description: CRAN Package 'ORIClust' (Order-Restricted Information Criterion-Based ClusteringAlgorithm)
 A user-friendly R-based software package for gene clustering. Clusters are
 given by genes matched to prespecified profiles across various ordered
 treatment groups.  It is particularly useful for analyzing data obtained
 from short time-course or dose-response microarray experiments.

Package: r-cran-orientlib
Architecture: all
Version: 0.10.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 420
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rgl, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-orientlib_0.10.5-1.ca2004.1_all.deb
Size: 330236
MD5sum: 122c5a832fabb38831b8fac20e627af4
SHA1: 2c698be5476df9004480348dcf69dc99c6154d75
SHA256: c1bd9cca87b285a3ea5167bf3ee560550a1502e8f48207863047caedec4713a0
SHA512: 1a218a0c15e2df373f148d68eee088c6b551eeb732a951fa9a55b68dbeacaeebe4afd2c46283e5a1ef8f6910bb9f1a622459923feb0d8a80cf51c66d49ae2238
Homepage: https://cran.r-project.org/package=orientlib
Description: CRAN Package 'orientlib' (Support for Orientation Data)
 Representations, conversions and display of orientation SO(3) data.  See the
 orientlib help topic for details.

Package: r-cran-origami
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-abind, r-cran-data.table, r-cran-assertthat, r-cran-future, r-cran-future.apply, r-cran-listenv
Suggests: r-cran-testthat, r-cran-class, r-cran-rmarkdown, r-cran-knitr, r-cran-stringr, r-cran-glmnet, r-cran-forecast, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-origami_1.0.7-1.ca2004.1_all.deb
Size: 91208
MD5sum: 5f700a38dd0dd905642d2ef76f3183f9
SHA1: 0e0c119127ced75783f079ebbad4b3022d108c9e
SHA256: 40826debddc825dcde11949ebad254343a0ec0d3907860be48c8083d3f1929ff
SHA512: 7912ffed57e68295cb2b3e55c88cf5b5ef163db9bba499cc3f88c7ecd2b9af8f1365d0cfc037838c391a355d33a9aa07b4f8998a3cc3186d4aab21420a0e4068
Homepage: https://cran.r-project.org/package=origami
Description: CRAN Package 'origami' (Generalized Framework for Cross-Validation)
 A general framework for the application of cross-validation schemes to
 particular functions. By allowing arbitrary lists of results, origami
 accommodates a range of cross-validation applications. This implementation
 was first described by Coyle and Hejazi (2018) <doi:10.21105/joss.00512>.

Package: r-cran-origamiplot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmsb, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-origamiplot_0.2.0-1.ca2004.1_all.deb
Size: 88584
MD5sum: a61171fece2b780068cdcd8d8ce3c0c9
SHA1: cae35d2cd22fe155475b511cef5917b7b09fc96e
SHA256: db49d95974754ae15ac076b65cd09632507f3a0cb0afb5e942d247030eeadbc7
SHA512: 007c7b33a64f57525716fbcbfe4c71e0622fd211cc4aa990dc932ca589b30516ff8f2a6184a993b946a2fab0b0a7563c399d0b440480cd69b639d3a2428388cb
Homepage: https://cran.r-project.org/package=OrigamiPlot
Description: CRAN Package 'OrigamiPlot' (A Visualization Tool Enhancing Radar Plot Visualizations forMultivariate Data)
 A visualization tool for multivariate data. This package maintains the
 original functionality of a radar chart and avoids potential misuse of its
 connected regions, with newly added features to better assist multi-criteria
 decision-making.

Package: r-cran-origin
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-rstudioapi
Suggests: r-cran-data.table, r-cran-dplyr, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-origin_1.2.0-1.ca2004.1_all.deb
Size: 455620
MD5sum: a2b97ea35d21403b59cde470838e454c
SHA1: 652413edcbd12d6f94705393cd54249b171450dd
SHA256: 7198e5d878f3f3eac958fdbbb0617b7d3c7a9bf19bddfbc371a69a0042fc5e63
SHA512: ce3650ae18d9e455f839aa04618b45fabb94a660dbe31bcfc32ae4ca82c1d5e82053977c8314817ae19d68ee6db39bb51b39c610ff5b858e787cee4cd8c1768b
Homepage: https://cran.r-project.org/package=origin
Description: CRAN Package 'origin' (Explicitly Qualifying Namespaces by Automatically Adding 'pkg::'to Functions)
 Automatically adding 'pkg::' to a function, i.e. mutate() becomes
 dplyr::mutate(). It is up to the user to determine which packages should be
 used explicitly, whether to include base R packages or use the functionality
 on selected text, a file, or a complete directory. User friendly logging is
 provided in the 'RStudio' Markers pane. Lives in the spirit of 'lintr' and
 'styler'. Can also be used for checking which packages are actually used in
 a project.

Package: r-cran-orionz.g
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-orionz.g_1.0.1-1.ca2004.1_all.deb
Size: 68556
MD5sum: b72f75d43232a6a7d5f46bb60e4bcae7
SHA1: 38cbf8cdb3443d650c636e5e8f6199c957fb54fa
SHA256: 1cd8ad7ac0280a7028c04a95e9973f3d6bd9ffda44edc1fbc35c9de2ec1553c0
SHA512: 5e8a78cdee5737aea2cbd0b5fc1da850d497d2534a1094132a922a000a63be974fa68a61c9575e49ab2b83c182b105d2335e2674335c12de7218f110d898a024
Homepage: https://cran.r-project.org/package=ORIONZ.G
Description: CRAN Package 'ORIONZ.G' (EAP Scoring in Exploratory FA Solutions with CorrelatedResiduals)
 Obtaining Bayes Expected A Posteriori (EAP) individual score estimates based
 on linear and non-linear extended Exploratoy Factor Analysis solutions that
 include a correlated-residual structure.

Package: r-cran-orkm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 472
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-orkm_1.0.0-1.ca2004.1_all.deb
Size: 413888
MD5sum: f17def34f38a92ae3c0871e8dbbc6771
SHA1: 1a1791da9e783e68897ecb9637f73f5e1fe1544d
SHA256: 4d470d444e2828165eb69f7cc942ce1bf7e5e0cc55b7365e45818b67803c9749
SHA512: 4d49ca069682da97dde15380e3af421888e97def84317edefb63dd2a971dc18e647931f4838dda49ee83c1c34ac637349fbc7732af98660fe3d80d763c14389c
Homepage: https://cran.r-project.org/package=ORKM
Description: CRAN Package 'ORKM' (The Online Regularized K-Means Clustering Algorithm)
 Algorithm of online regularized k-means to deal with online multi(single)
 view data.  The philosophy of the package is described in Guo G. (2024)
 <doi:10.1016/j.ins.2024.121133>.

Package: r-cran-orloca.es
Architecture: all
Version: 5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-orloca
Filename: pool/dists/focal/main/r-cran-orloca.es_5.5-1.ca2004.1_all.deb
Size: 89948
MD5sum: 0e09a7557212fcb491ba9bbefe5142ad
SHA1: c5fa258e85e21e7f71b9db9ea007c30e597a6719
SHA256: ac921b834ff405feb4ac9b4c2fa2db670750b52e1c810ca29ff101628b041dc5
SHA512: 44381198834873d2675a555cd10f93a91263fe15f5a5f34413193ef86d4219d0b5c11fa7f05b15d3e8fcad9021b4cc3f61c57166a83d448eef5d66889d8c20a0
Homepage: https://cran.r-project.org/package=orloca.es
Description: CRAN Package 'orloca.es' (Spanish version of orloca package. Modelos de localizacion eninvestigacion operativa)
 Help and demo in Spanish of the orloca package. Ayuda y demo en espanol del
 paquete orloca. Objetos y metodos para manejar y resolver el problema de
 localizacion de suma minima, tambien conocido como problema de Fermat-Weber.
 El problema de localizacion de suma minima busca un punto tal que la suma
 ponderada de las distancias a los puntos de demanda se minimice. Vease "The
 Fermat-Weber location problem revisited" por Brimberg, Mathematical
 Programming, 1, pag. 71-76, 1995. <DOI: 10.1007/BF01592245>.  Se usan
 algoritmos generales de optimizacion global para resolver el problema, junto
 con el metodo especifico Weiszfeld, vease "Sur le point pour lequel la Somme
 des distance de n points donnes est minimum", por Weiszfeld, Tohoku
 Mathematical Journal, First Series, 43, pag. 355-386, 1937 o "On the point
 for which the sum of the distances to n given points is minimum", por E.
 Weiszfeld y F. Plastria, Annals of Operations Research, 167, pg. 7-41, 2009.
 <DOI:10.1007/s10479-008-0352-z>.

Package: r-cran-orloca
Architecture: all
Version: 5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 722
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-png, r-cran-ucminf, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-orloca.es, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-orloca_5.6-1.ca2004.1_all.deb
Size: 417580
MD5sum: be8a63d952ec0633f1a1b0cf6668876d
SHA1: 0b357e69f43060f129aa1f0a9dd7e86ff657d079
SHA256: 2cecb74ab90b053e769110fe4501cad7d30eb1667e86cfd59a0e55ea24bb6993
SHA512: 72a2b0b9868146c08acfc22c3ba8d75aa1961bfb783b0d6770a0afb7e48428be18023c4e074992f820e0221e9f7f57950bad17675f76f965bbfcd626550a2ff4
Homepage: https://cran.r-project.org/package=orloca
Description: CRAN Package 'orloca' (Operations Research LOCational Analysis Models)
 Objects and methods to handle and solve the min-sum location problem, also
 known as Fermat-Weber problem. The min-sum location problem search for a
 point such that the weighted sum of the distances to the demand points are
 minimized. See "The Fermat-Weber location problem revisited" by Brimberg,
 Mathematical Programming, 1, pg. 71-76, 1995. <DOI:10.1007/BF01592245>.
 General global optimization algorithms are used to solve the problem, along
 with the adhoc Weiszfeld method, see "Sur le point pour lequel la Somme des
 distances de n points donnes est minimum", by Weiszfeld, Tohoku Mathematical
 Journal, First Series, 43, pg. 355-386, 1937 or "On the point for which the
 sum of the distances to n given points is minimum", by E. Weiszfeld and F.
 Plastria, Annals of Operations Research, 167, pg. 7-41, 2009.
 <DOI:10.1007/s10479-008-0352-z>.

Package: r-cran-ormbigdata
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rms, r-cran-hmisc, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-sparsem, r-cran-benchmarkme
Filename: pool/dists/focal/main/r-cran-ormbigdata_0.0.1-1.ca2004.1_all.deb
Size: 37300
MD5sum: 754d9f23a8bce6a2cb42387be76bea9a
SHA1: 21ad3a5c01e7499eea758e4695dd06d3c423559d
SHA256: 382abd2cf4b3796ded8564214359ff8bbde5052c0ab42d375fc47bc46fc197da
SHA512: 8739c09401173e4dca28481f92825f3f170385a678019f99d779d2ab5f9d2d5138a48a8253861d96340c0681e8f26ec7e8bb06f76a832661d6e7b21ca2a4c9dc
Homepage: https://cran.r-project.org/package=ormBigData
Description: CRAN Package 'ormBigData' (Fitting Semiparametric Cumulative Probability Models for BigData)
 A big data version for fitting cumulative probability models using the orm()
 function.  See Liu et al. (2017) <DOI:10.1002/sim.7433> for details.

Package: r-cran-ormplot
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rms, r-cran-gtable
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown, r-cran-pander
Filename: pool/dists/focal/main/r-cran-ormplot_0.3.6-1.ca2004.1_all.deb
Size: 394524
MD5sum: a9da7463a32fecf4a7f66d724f095ab9
SHA1: 81419a80fceff08355e61ca189f52750c5bb4d6b
SHA256: 0750f0568696d7ab0fa1fabeb7e595199f01efd021968099a7f20a43d55bb98b
SHA512: 0870ca578266fad9981589a6fb27d6aa766cc3d540901110f77469b3126d48efef1319d5fad2f31d96640b7fd0dc50bce7fc6938693500e4dfb5efc3fc785ecb
Homepage: https://cran.r-project.org/package=ormPlot
Description: CRAN Package 'ormPlot' (Advanced Plotting of Ordinal Regression Models)
 An extension to the Regression Modeling Strategies package that facilitates
 plotting ordinal regression model predictions together with confidence
 intervals for each dependent variable level.  It also adds a functionality
 to plot the model summary as a modifiable object.

Package: r-cran-oro.dicom
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-oro.nifti
Suggests: r-cran-testthat, r-cran-hwriter
Filename: pool/dists/focal/main/r-cran-oro.dicom_0.5.3-1.ca2004.1_all.deb
Size: 1631832
MD5sum: d19df346695f936f18f160e4ee4104fc
SHA1: 8473fbabcbf801787092727a2a773ebce1c28245
SHA256: 4553c68c47a049323ecfd69ab93af11dfbbb2f5e1b882ba565360fa351d37b3e
SHA512: b1e9af04a6ed0e00df1173d4503c88cf2f8aa6ba1a8ea060b76ab6acfb37b2c1a101a667e6dcb47118ef75c1e7ac6c48b6d6cf30adec985a66febde4a983d665
Homepage: https://cran.r-project.org/package=oro.dicom
Description: CRAN Package 'oro.dicom' (Rigorous - DICOM Input / Output)
 Data input/output functions for data that conform to the Digital Imaging and
 Communications in Medicine (DICOM) standard, part of the Rigorous Analytics
 bundle.

Package: r-cran-oro.nifti
Architecture: all
Version: 0.11.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6703
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bitops, r-cran-abind, r-cran-rnifti
Suggests: r-cran-xml, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rticles
Filename: pool/dists/focal/main/r-cran-oro.nifti_0.11.4-1.ca2004.1_all.deb
Size: 6017444
MD5sum: 95d26b0bb9ee386f16654c402ddd13bc
SHA1: a29a1a8811da35af3e4fd2427f83418d4868a15c
SHA256: f5fc93fc27f9fab350c4d5faa3eab7d9cd24bc892908e0a56442d34fc2849dcf
SHA512: cc0cda416a1beb03af5ba01676c93b9f750aa74623e571dafbeea4e9d4b6eb3acba259bc0532984b2ac6a49351fbe035a35b7f96a3538a9f26c054fa98a9aeaf
Homepage: https://cran.r-project.org/package=oro.nifti
Description: CRAN Package 'oro.nifti' (Rigorous - 'NIfTI' + 'ANALYZE' + 'AFNI' : Input / Output)
 Functions for the input/output and visualization of medical imaging data
 that follow either the 'ANALYZE', 'NIfTI' or 'AFNI' formats.  This package
 is part of the Rigorous Analytics bundle.

Package: r-cran-oro.pet
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-oro.dicom, r-cran-oro.nifti, r-cran-minpack.lm, r-cran-msm
Filename: pool/dists/focal/main/r-cran-oro.pet_0.2.7-1.ca2004.1_all.deb
Size: 70524
MD5sum: bd7dc9eb9f138954fd0baed68a36e2e7
SHA1: f48aa7a4426eff6eed97c7b5ad57fc5b9ae20859
SHA256: 9e6537850943bdfbcc73817450d1a31b765dd68cb3a95e8ed7fc71f616b512b8
SHA512: f3adef5015e2f19c68993a6bd1200a73245924dc8f7af7c3c23a6ccb4084d17c9721b9bc704a04e77ba5096345c93d40ad4844afa6f78631830ab34750a31499
Homepage: https://cran.r-project.org/package=oro.pet
Description: CRAN Package 'oro.pet' (Rigorous - Positron Emission Tomography)
 Image analysis techniques for positron emission tomography (PET) that form
 part of the Rigorous Analytics bundle.

Package: r-cran-orsifronts
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-orsifronts_0.2.0-1.ca2004.1_all.deb
Size: 387928
MD5sum: 9b490bc7a952d906fe9234f813a8537a
SHA1: 1d2548096ceadbc731254001d6cce254766b0691
SHA256: 80f63fb34c49220b54cb857cee2410192c1394b8c040f96cc09a98ac91b377ba
SHA512: b211e1a01927277f547ec4523398d51161dd8b163a42003413e67229cd7e9c7853244f96b42fcfd25736fa8f97b36baf7ac56e698c0a1099675592131a672f9d
Homepage: https://cran.r-project.org/package=orsifronts
Description: CRAN Package 'orsifronts' (Southern Ocean Frontal Distributions (Orsi))
 A data set package with the "Orsi" and "Park/Durand" fronts as
 'SpatialLinesDataFrame' objects. The Orsi et al. (1995) fronts are published
 at the Southern Ocean Atlas Database Page, and the Park et al. (2019) fronts
 are published at the 'SEANOE' Altimetry-derived Antarctic Circumpolar
 Current fronts page, please see package CITATION for details.

Package: r-cran-orth.ord
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magic, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-orth.ord_1.0.1-1.ca2004.1_all.deb
Size: 74268
MD5sum: ddd89ef88c049bb609cfb1304bae951d
SHA1: c1b678939cdcbcde1bbd12559bb86e423f3e79d6
SHA256: 6e2d904105cc517156baf9c374f5fc1524d723fc9d542df229254e2cf187fb79
SHA512: df7b624662d30622e10f484438e6bd54b56b129850c42518ab6616c940dc5f47c82f2776d3b5e4ec171ad9993f64cb8221b63d4c025fd600d875e5f4c5f9ce98
Homepage: https://cran.r-project.org/package=ORTH.Ord
Description: CRAN Package 'ORTH.Ord' (Alternating Logistic Regression with Orthogonalized Residualsfor Correlated Ordinal Outcomes)
 A modified version of alternating logistic regressions (ALR) with estimation
 based on orthogonalized residuals (ORTH) is implemented, which use paired
 estimating equations to jointly estimate parameters in marginal mean and
 within-association models. The within-cluster association between ordinal
 responses is modeled by global pairwise odds ratios (POR). A finite-sample
 bias correction is provided to POR parameter estimates based on matrix
 multiplicative adjusted orthogonalized residuals (MMORTH) for correcting
 estimating equations, and different bias-corrected variance estimators such
 as BC1, BC2, and BC3.

Package: r-cran-orthgs
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2077
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-bio3d, r-cran-castor, r-cran-igraph, r-cran-phangorn, r-cran-phytools, r-cran-seqinr, r-cran-treetools
Suggests: r-cran-biocmanager, r-bioc-biostrings, r-cran-fs, r-cran-knitr, r-bioc-muscle, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-orthgs_0.1.8-1.ca2004.1_all.deb
Size: 1450100
MD5sum: d2f885ae9da8ad63ed975777fddb4a90
SHA1: f078e76c96b72645aa23b7dcb5936828ee60530e
SHA256: 9a89d58308c82a601b5e251783d716a5ba0e60637bef382d0c131c7973bb2a28
SHA512: 0fe4ed647576dc7e7b87f28fc7f929ddba0726804bf3786e526876aa334234946235d703b690339d0816d3fec92c1e274c66b0d38090964683808b0434c620d0
Homepage: https://cran.r-project.org/package=orthGS
Description: CRAN Package 'orthGS' (Orthology vs Paralogy Relationships among Glutamine Synthetasefrom Plants)
 Tools to analyze and infer orthology and paralogy relationships between
 glutamine synthetase proteins in seed plants.

Package: r-cran-orthogonalsplinebasis
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-orthogonalsplinebasis_0.1.7-1.ca2004.1_all.deb
Size: 175176
MD5sum: 9df694208b39a27512f3981f32a639ec
SHA1: 19f644c393c4a810899d0ea9cdca2a2a04b8b37f
SHA256: d8987984802a5d8e1e9432d63d8cb7f6ecb38f15c3e218d71ccd88fdc7f95fd1
SHA512: c19e6ad00abf7919ee1cac2809321c556b00593c96750a0bb1d811e73a41e252f8cd8caa6aa2a66dbb74e9022cd6ca61e9c3a7e0e059b3c5ae9bb23f33a21c9c
Homepage: https://cran.r-project.org/package=orthogonalsplinebasis
Description: CRAN Package 'orthogonalsplinebasis' (Orthogonal B-Spline Basis Functions)
 Represents the basis functions for B-splines in a simple matrix formulation
 that facilitates, taking integrals, derivatives, and making orthogonal the
 basis functions.

Package: r-cran-orthopanels
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-orthopanels_1.2-4-1.ca2004.1_all.deb
Size: 165072
MD5sum: e6300b799a7780dd694a0c8ea7f58ad5
SHA1: 0a7d3fdce09050aa7bd5d438bd0a5c843eb0e348
SHA256: 53cd40990311d4eafd9b0dc54a45abe1141a4ec1cd95c7349ad5f3fa40d10add
SHA512: cf2c655a68df6ff07642fb7bdba4380e363d1bdaf1e1cf6eeb9f7d82a6c825633ec8c9464ffc2d11a7f9b5b0b9e0d8fd0266772461a5435810049da20da18573
Homepage: https://cran.r-project.org/package=OrthoPanels
Description: CRAN Package 'OrthoPanels' (Dynamic Panel Models with Orthogonal Reparameterization of FixedEffects)
 Implements the orthogonal reparameterization approach recommended by
 Lancaster (2002) to estimate dynamic panel models with fixed effects (and
 optionally: panel specific intercepts). The approach uses a likelihood-based
 estimator and produces estimates that are asymptotically unbiased as N goes
 to infinity, with a T as low as 2.

Package: r-cran-orthopolynom
Architecture: all
Version: 1.0-6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-orthopolynom_1.0-6.1-1.ca2004.1_all.deb
Size: 333348
MD5sum: 0f2e8138b16cb5fa720f477f25d4dd82
SHA1: 205ebd2e205aeacce7bfcb057d17bf716242a0a4
SHA256: a44ca093c592a884b4866184e9d82bb902bd7cf33dd24ecde6f1c9db39651849
SHA512: 1861a89374e9310dd6ada0084bcb6dfc13a0c3ef64367549d93704c3a0d0553e7f12d7275cbeeec52df2497d708e95b57d36ddcf8512ae1114398c5babb23922
Homepage: https://cran.r-project.org/package=orthopolynom
Description: CRAN Package 'orthopolynom' (Collection of Functions for Orthogonal and OrthonormalPolynomials)
 A collection of functions to construct sets of orthogonal polynomials and
 their recurrence relations. Additional functions are provided to calculate
 the derivative, integral, value and roots of lists of polynomial objects.

Package: r-cran-ortsc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-googleauthr, r-cran-googlecloudvisionr
Filename: pool/dists/focal/main/r-cran-ortsc_1.0.0-1.ca2004.1_all.deb
Size: 13056
MD5sum: 28972b8338403d7a21814a4fbb9d02be
SHA1: cdd7cb4b13c3170f0bac8c5038cacedc58a35320
SHA256: bbf6ff2323dfded07b7228fc4a9b3d9ae20b6cbb82be516fcddb41f51fd9941d
SHA512: 4a8c2b453acbd7eaeadce7cd8e416a6293bc6fabd1092f1bf5563a5d0b8264de3a162696ca80f3d835b9415c9ee950c7bc6bae1b739cc7f282f2cd45429d8d72
Homepage: https://cran.r-project.org/package=ORTSC
Description: CRAN Package 'ORTSC' (Connects to Google Cloud API for Label Detection)
 Connects to Google cloud vision <https://cloud.google.com/vision> to perform
 label detection and repurpose this feature for image classification.

Package: r-cran-orus
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tm, r-cran-tibble, r-cran-tidytext, r-cran-topicmodels, r-cran-rmarkdown, r-cran-xlsx, r-cran-knitr
Suggests: r-cran-reshape2, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-orus_1.0.0-1.ca2004.1_all.deb
Size: 474960
MD5sum: da5addedeec2db98bf6189cc121e584d
SHA1: 56668d3ca2583e9bf74894a3914c8fecee083c5a
SHA256: 5c0a3abacaee2b2e8282ff3386909e4b7219ada3e51d2d25a4dc490dda04f203
SHA512: 562732caf050aa18323776e37132a2733185dafff97f408ef7fba9e1fa7a5c46423890f48b86c4ad70b4e75d4eb1b081afa742f3cdae62c9b06198984af5ea0f
Homepage: https://cran.r-project.org/package=oRus
Description: CRAN Package 'oRus' (Operational Research User Stories)
 A first implementation of automated parsing of user stories, when used to
 defined functional requirements for operational research mathematical
 models. It allows reading user stories, splitting them on the who-what-why
 template, and classifying them according to the parts of the mathematical
 model that they represent. Also provides semantic grouping of stories, for
 project management purposes.

Package: r-cran-oryzaprobe
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1008
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oryzaprobe_0.1.0-1.ca2004.1_all.deb
Size: 984324
MD5sum: 4d6574e7e3d10084de5ba670e82f8720
SHA1: 8ff9724523ae923ec24832b2cba9f0016fd287f6
SHA256: e50e54eccbf5ea734702efbb846e3ae658292fae6c8424e16638ca39d217a436
SHA512: b00dde7cc3ab945a79f5b627f6baa58e18bb7c9a0aa7e6a71956823cb32ab2a6b6fd7e106ae97bfe8cddc0f7f7cc1fd0caad8ad819df5e64c55126aecb873659
Homepage: https://cran.r-project.org/package=OryzaProbe
Description: CRAN Package 'OryzaProbe' (Rice Microarray Probe ID Conversion, from Probe ID to RAP-DB ID)
 Microarray probe ID is not convenient for further enrichment analysis and
 target gene selection.  The package is created for the rice microarray probe
 ID conversion.  This package can convert microarray probe ID from GPL6864
 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL6864>, GPL8852
 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL8852>, and GPL2025
 <https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GPL2025> platforms to
 RAP-DB ID. RAP-DB "The Rice Annotation Project Database"
 <https://rapdb.dna.affrc.go.jp> is a well-known database for rice Oryza
 sativa, and the gene ID in this database is widely used in many areas
 related to rice research.  For multiple probes representing a single gene,
 This package can merge them by taking the mean, max, or min value of these
 probes.  Or we can keep multiple probes by appending sequence numbers to
 duplicate the RAP-DB ID.

Package: r-cran-oscillatorgenerator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oscillatorgenerator_0.1.0-1.ca2004.1_all.deb
Size: 71424
MD5sum: 7d009ed2175f2a85f049f0ec446cf3bf
SHA1: 19dbeb21ead5d4400f75cf50ef99bb071fb5eb53
SHA256: 08ee14cb57a4c42e75912036539e1b4f00cd0b517d354a8860ceb2c3173913ac
SHA512: ebdd72c5f37bdb5a2e470066704cc9cb85cb82f7077475f945c77b6546aa3c49ec5a6ed320788e2c06397c5d64a8fb42c9cfe421162406569a48682d0423e18d
Homepage: https://cran.r-project.org/package=OscillatorGenerator
Description: CRAN Package 'OscillatorGenerator' (Generation of Customizable, Discretized Time Series ofOscillating Species)
 The supplied code allows for the generation of discrete time series of
 oscillating species. General shapes can be selected by means of individual
 functions, which are widely customizable by means of function arguments. All
 code was developed in the Biological Information Processing Group at the
 BioQuant Center at Heidelberg University, Germany.

Package: r-cran-oscv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mc2d
Filename: pool/dists/focal/main/r-cran-oscv_1.0-1.ca2004.1_all.deb
Size: 91092
MD5sum: a1e5f10be6d09da33862e147586252b4
SHA1: f88aa5fc970e8526b9bf95249ad241df916e6af5
SHA256: e359c90d09aad07505b07b764d5bb2cde8aed170c6831f8f44724114bbdb2919
SHA512: 36313f9a0f17bd030f4099352589b3e0cccc2c25713e156ea59f0155301796900255d73a496699dafcabc762468c38071e697799f0ac8e10ff2eb31501443bda
Homepage: https://cran.r-project.org/package=OSCV
Description: CRAN Package 'OSCV' (One-Sided Cross-Validation)
 Functions for implementing different versions of the OSCV method in the
 kernel regression and density estimation frameworks. The package mainly
 supports the following articles: (1) Savchuk, O.Y., Hart, J.D. (2017). Fully
 robust one-sided cross-validation for regression functions. Computational
 Statistics, <doi:10.1007/s00180-017-0713-7> and (2) Savchuk, O.Y. (2017).
 One-sided cross-validation for nonsmooth density functions,
 <arXiv:1703.05157>.

Package: r-cran-osd
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jade, r-cran-nnls
Filename: pool/dists/focal/main/r-cran-osd_0.1-1.ca2004.1_all.deb
Size: 211060
MD5sum: ddaf55c2a43d1bf8bcfef73181126dc4
SHA1: bd784eab62749452826b38ee705ea02c8462a950
SHA256: 33fd75e801c544b7313132f00a0939d8bbb78c62384189b26cb7615443b8c155
SHA512: a8ec84982ab3ff894fea3f1188f350bd53e8dc2fee0088f689fc314e9d69b0a7489ed485c2406df174af0f88c4cb5baa6feb9b2000515c300da7a72abb7429b1
Homepage: https://cran.r-project.org/package=osd
Description: CRAN Package 'osd' (Orthogonal Signal Deconvolution for Spectra Deconvolution inGC-MS and GCxGC-MS Data)
 Compound deconvolution for chromatographic data, including gas
 chromatography - mass spectrometry (GC-MS) and comprehensive gas
 chromatography - mass spectrometry (GCxGC-MS). The package includes
 functions to perform independent component analysis - orthogonal signal
 deconvolution (ICA-OSD), independent component regression (ICR),
 multivariate curve resolution (MCR-ALS) and orthogonal signal deconvolution
 (OSD) alone.

Package: r-cran-osdatahub
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1889
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geojsonsf, r-cran-geos, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-osdatahub_0.3.0-1.ca2004.1_all.deb
Size: 1283016
MD5sum: 5c09a7a6c48e856d89225b86c95df9ab
SHA1: 3b5496972c3057db26c248220f9be205d908f906
SHA256: 2bcd1946ea8af9a69f7d1b35acdd7acae0e83eeb20b2aa3b7f64a6af47996647
SHA512: e9b8eca4c0de96c6f8ad2620cb80069764eae664197c65b6ed5655e8e611850393e193523217291581b03d788b80487789ce80fa15106d612088f847c5e1d48d
Homepage: https://cran.r-project.org/package=osdatahub
Description: CRAN Package 'osdatahub' (Easier Interaction with the Ordnance Survey Data Hub)
 Ordnance Survey ('OS') is the national mapping agency for Great Britain and
 produces a large variety of mapping and geospatial products.  Much of OS's
 data is available via the OS Data Hub <https://osdatahub.os.uk/>, a platform
 that hosts both free and premium data products. 'osdatahub' provides a
 user-friendly way to access, query, and download these data.

Package: r-cran-osdesign
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-osdesign_1.8-1.ca2004.1_all.deb
Size: 1057412
MD5sum: 831bb0d3c53e2e50a8acd867d1da9091
SHA1: 6500c769459daf3705dce0dd0df046dc15fde00c
SHA256: e7d514eca4c4049bf2ee16be48b36fb7c4d07af145e24d2a14ab8b29bb449e77
SHA512: 98870dbfc670c13498c3b2f932cb775c7dd7bbf7d2f7fa2614389f4aee4c0734561a4600ca28ef58d881e3b15b928b5d5cf70ba2a61fcdd76fb46f3f4c9aadb1
Homepage: https://cran.r-project.org/package=osDesign
Description: CRAN Package 'osDesign' (Design, Planning and Analysis of Observational Studies)
 A suite of functions for the design of case-control and two-phase studies,
 and the analysis of data that arise from them. Functions in this packages
 provides Monte Carlo based evaluation of operating characteristics such as
 powers for estimators of the components of a logistic regression model. For
 additional detail see: Haneuse S, Saegusa T and Lumley T
 (2011)<doi:10.18637/jss.v043.i11>.

Package: r-cran-osdr
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-osdr_1.1.4-1.ca2004.1_all.deb
Size: 30212
MD5sum: eabc43dc938e0e6f0f0d8d4bc66b3c07
SHA1: 1c2d2989f44dfeba305f11d234e48aa9ea4c0055
SHA256: 5c35bbc81bd9af3704e0aac9f964777ff51e9f1c07d1d9837d6a883af21d8674
SHA512: 64cb4678723ebac67bb1953177cf593cd3e561ef7610eb8d2c42fecab265553d32a95e070b5982be81cd8ca1146d17dc686187debc7cf03868c9cde0c9f3904e
Homepage: https://cran.r-project.org/package=OSDR
Description: CRAN Package 'OSDR' (Finds an Optimal System of Distinct Representatives)
 Provides routines for finding an Optimal System of Distinct Representatives
 (OSDR), as defined by D.Gale (1968) <doi:10.1016/S0021-9800(68)80039-0>.

Package: r-cran-osfr
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-stringi, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-fs, r-cran-memoise, r-cran-httr
Suggests: r-cran-dplyr, r-cran-logger, r-cran-rprojroot, r-cran-brio, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lintr, r-cran-covr, r-cran-spelling, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-osfr_0.2.9-1.ca2004.1_all.deb
Size: 314432
MD5sum: 2b74178be822d17b15e52ba9f48c3f62
SHA1: db3aa89b035dbe2a9809db33f3a0d4e03180c6d2
SHA256: 9209abe6ea3e497bfcbee531192c2df4f011f3703f3c7a1d14686a58e4ecbde9
SHA512: f00b8450c5d7c58c159a51bd427527fb1bc49a1c69fefc5e7d315200882d585532cc3aff7a01d396dc4abc16d04213aaefb280520129af6125a870e45d43c36d
Homepage: https://cran.r-project.org/package=osfr
Description: CRAN Package 'osfr' (Interface to the 'Open Science Framework' ('OSF'))
 An interface for interacting with 'OSF' (<https://osf.io>). 'osfr' enables
 you to access open research materials and data, or create and manage your
 own private or public projects.

Package: r-cran-oshka
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-unitizer, r-cran-covr
Filename: pool/dists/focal/main/r-cran-oshka_0.1.2-1.ca2004.1_all.deb
Size: 34788
MD5sum: bc6a6ea9dc672ef9548c19aaf8c6cd27
SHA1: 1fa42f27fd41d2b1d5a4e846e0cfaab82dc25fe2
SHA256: e6115a5fb44fec244936f029db6299b667813dbc1d550c5231b16815cc623332
SHA512: 8e0cac9ad75eeab3358813c9c2f085e232c7be170b801cd4a01f0dbbefb531849d01b716ceed5b2696c1e77882451aa18d1c0496e6819c56be9f18a5bcab2826
Homepage: https://cran.r-project.org/package=oshka
Description: CRAN Package 'oshka' (Recursive Quoted Language Expansion)
 Expands quoted language by recursively replacing any symbol that points to
 quoted language with the language it points to.  The recursive process
 continues until only symbols that point to non-language objects remain.  The
 resulting quoted language can then be evaluated normally.  This differs from
 the traditional 'quote'/'eval' pattern because it resolves intermediate
 language objects that would interfere with evaluation.

Package: r-cran-osldecomposition
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1129
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-luminescence, r-cran-deoptim, r-cran-minpack.lm, r-cran-gridextra, r-cran-ggplot2, r-cran-scales, r-cran-ggpubr, r-cran-rmarkdown
Suggests: r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-osldecomposition_1.0.0-1.ca2004.1_all.deb
Size: 533628
MD5sum: a043ec190227e428ce935f0c27f6f694
SHA1: 2080280c14588bd0918e7d6b63c52d8a09b04df9
SHA256: a23833a06da47e40632bda8b6689f36fa8916bc1630ee10af8fcc2be56d80c4d
SHA512: 18d08344ebd2ec82c6053128093c5c45e1f1fa1a35e35ba61e838bd7f961ed328b1ee39e07b34375f7d3bbe0bda9547850ffe314cadeaedbeacaf5e93de2732e
Homepage: https://cran.r-project.org/package=OSLdecomposition
Description: CRAN Package 'OSLdecomposition' (Signal Component Analysis for Optically Stimulated Luminescence)
 Function library for the identification and separation of exponentially
 decaying signal components in continuous-wave optically stimulated
 luminescence measurements.  A special emphasis is laid on luminescence
 dating with quartz, which is known for systematic errors due to signal
 components with unequal physical behaviour.  Also, this package enables an
 easy to use signal decomposition of data sets imported and analysed with the
 R package 'Luminescence'.  This includes the optional automatic creation of
 HTML reports. Further information and tutorials can be found at
 <https://luminescence.de>.

Package: r-cran-osmapir
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 705
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr2, r-cran-xml2
Suggests: r-cran-httptest2, r-cran-httpuv, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-osmapir_0.2.3-1.ca2004.1_all.deb
Size: 459192
MD5sum: 212f22f93dedb24382cee13a29e97be4
SHA1: 1c4b495572b3d31a123a7d2f829416370d2778f8
SHA256: 74ec7a2230a8098008102d28f7b38f7a44a7f3b3d8ea5b086b5db833b3723529
SHA512: e28bff682fe0ec1c8edaef6371ae9027e58e1cf1800062e43f31efe589c06192d01a12b4563064ebe5cb2afbe8d2dcc3085e2feeb729a4195796cefe459603f5
Homepage: https://cran.r-project.org/package=osmapiR
Description: CRAN Package 'osmapiR' ('OpenStreetMap' API)
 Interface to 'OpenStreetMap API' for fetching and saving data from/to the
 'OpenStreetMap' database (<https://wiki.openstreetmap.org/wiki/API_v0.6>).

Package: r-cran-osmar
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl, r-cran-geosphere
Suggests: r-cran-igraph, r-cran-sp
Filename: pool/dists/focal/main/r-cran-osmar_1.1-7-1.ca2004.1_all.deb
Size: 212172
MD5sum: 3c6235cf30291c2b4dd5f522934a1ae8
SHA1: 235da818184a62c95a5a3eb0a2d7c6a2a11d84a5
SHA256: f1a752eb04021d92fdb6b9e8b3872e7241e3bc622e1199386d148cb27a79f618
SHA512: ad175759e159fc7cf41b07fe9b1592a2be642542e9a83863935227f6677c1e7b3a3d7a3570aae3be58db38327882b623761bbcfceb0104be80ae0f8ae918839b
Homepage: https://cran.r-project.org/package=osmar
Description: CRAN Package 'osmar' (OpenStreetMap and R)
 This package provides infrastructure to access OpenStreetMap data from
 different sources, to work with the data in common R manner, and to convert
 data into available infrastructure provided by existing R packages (e.g.,
 into sp and igraph objects).

Package: r-cran-osmclass
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-collapse, r-cran-data.table, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-osmclass_0.1.3-1.ca2004.1_all.deb
Size: 245468
MD5sum: bf69e26d686480c4dc7a614c20ca4522
SHA1: 3bc989c80ae4934ef9d599edde31db8792102a96
SHA256: 605e526ab93792e6e8c523bb6d173e8e98b1b787b8c9499077ae43ffb98b07a9
SHA512: 228ec33a114c548ea9b60be2d9abe87075251abd77c65e6dba17f03cc479ec5018236cee0d6229497ea317ae460ea84865673c536e85965ad4d51a3f0b7536ee
Homepage: https://cran.r-project.org/package=osmclass
Description: CRAN Package 'osmclass' (Classify Open Street Map Features)
 Classify Open Street Map (OSM) features into meaningful functional or
 analytical categories. Designed for OSM PBF files, e.g. from
 <https://download.geofabrik.de/> imported as spatial data frames. A
 classification consists of a list of categories that are related to certain
 OSM tags and values. Given a layer from an OSM PBF file and a
 classification, the main osm_classify() function returns a classification
 data table giving, for each feature, the primary and alternative categories
 (if there is overlap) assigned, and the tag(s) and value(s) matched on.  The
 package also contains a classification of OSM features by economic
 function/significance, following Krantz (2023)
 <https://www.ssrn.com/abstract=4537867>.

Package: r-cran-osmextract
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5451
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-osmextract_0.5.3-1.ca2004.1_all.deb
Size: 5058680
MD5sum: e66c9b430c1640c03e33f2523de2ed78
SHA1: ad58c2f750d0a0eee8697d674b7f1ffe228c7215
SHA256: da7bfdb2ece7faaef1e9a3c2df1f52f24bb4803872f7eeea22671ffcdf96cc83
SHA512: b11acd5ca5e2d3bf8074f96d592951438f8481670a5656328ec68d6e9fee4ff2c2007871fde86f44ccb174f8585ae8916c7a2687153ebf4441269381abff0e9b
Homepage: https://cran.r-project.org/package=osmextract
Description: CRAN Package 'osmextract' (Download and Import Open Street Map Data Extracts)
 Match, download, convert and import Open Street Map data extracts obtained
 from several providers.

Package: r-cran-osmose
Architecture: all
Version: 3.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1002
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlist, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-ncdf4, r-cran-mgcv, r-cran-fields
Filename: pool/dists/focal/main/r-cran-osmose_3.3.4-1.ca2004.1_all.deb
Size: 708344
MD5sum: 9d58ba7b091756e2360196d4c80ab12f
SHA1: 2d6b9400ebff6a7ce6bf6bb71c426277c6be49e4
SHA256: d30828add2a1fbd29e565fb5e96fce77036c65cd698d3d4ca443866364b8f076
SHA512: 9d06ea08496e300ad7eb711d6b4529e58c980aa207e2f6a3cf4bfe6191f15d849f7886b1e9de43bc4d0148c4c89d42cf47ccc0295a904f2e000989512ce57c92
Homepage: https://cran.r-project.org/package=osmose
Description: CRAN Package 'osmose' (Object Oriented Simulator of Marine Ecosystems)
 The multispecies and individual-based model (IBM) 'OSMOSE' (Shin and Curry
 (2001) <doi:10.1016/S0990-7440(01)01106-8> and Shin and Curry (2004)
 <doi:10.1139/f03-154>) focuses on fish species. This model assumes
 opportunistic predation based on spatial co-occurrence and size adequacy
 between a predator and its prey (size-based opportunistic predation). It
 represents fish individuals grouped into schools, which are characterized by
 their size, weight, age, taxonomy and geographical location (2D model), and
 which undergo major processes of fish life cycle (growth, explicit
 predation, natural and starvation mortalities, reproduction and migration)
 and fishing exploitation. The model needs basic biological parameters that
 are often available for a wide range of species, and which can be found in
 'FishBase' for instance (see <http://www.fishbase.org/search.php>), and fish
 spatial distribution data. This package provides tools to build and run
 simulations using the 'OSMOSE' model.

Package: r-cran-osmplotr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9367
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-ggm, r-cran-ggplot2, r-cran-mapproj, r-cran-osmdata, r-cran-rgeos, r-cran-sp, r-cran-spatstat, r-cran-spatstat.core, r-cran-spatstat.geom
Suggests: r-cran-curl, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-osmplotr_0.3.3-1.ca2004.1_all.deb
Size: 4395016
MD5sum: 1fe18978636dfb71f1cebb4a2460e9be
SHA1: 679d5a13759b90a34e19d5dbd3d91e8138bdff22
SHA256: 5c925fd9cb738763161924476c658198ea7f005a46bb057d32028fb6e232dc77
SHA512: 0ce6be69022c33eb7dc1e418c785104418dc50ce46cdf1bef222779a306aceacd06203e4b6399f33b1fb2f44d84a1ab2e14d87634697df4a65c97e0528ac5a95
Homepage: https://cran.r-project.org/package=osmplotr
Description: CRAN Package 'osmplotr' (Bespoke Images of 'OpenStreetMap' Data)
 Bespoke images of 'OpenStreetMap' ('OSM') data and data visualisation using
 'OSM' objects.

Package: r-cran-osmscale
Architecture: all
Version: 0.5.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openstreetmap, r-cran-berryfunctions, r-cran-sf, r-cran-pbapply
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-osmscale_0.5.20-1.ca2004.1_all.deb
Size: 92920
MD5sum: ce67655f58079fff4aadbe500a11a466
SHA1: 313b8e41c66f9bf1bc4250bd64ef84ea8eaf947e
SHA256: 3e2377854cf3acea935143426e58ddb4e2112e1fc740d6ca5bd3c7d423827eac
SHA512: 3a1396b22ae7b751e89f4ac2abf420f16643513c75ec3902c93a30b54014f0c11d8690952564a3c75b85988e85a8eb55fd48e68c4920f4aed24483ac4586b4a5
Homepage: https://cran.r-project.org/package=OSMscale
Description: CRAN Package 'OSMscale' (Add a Scale Bar to 'OpenStreetMap' Plots)
 Functionality to handle and project lat-long coordinates, easily download
 background maps and add a correct scale bar to 'OpenStreetMap' plots in any
 map projection.

Package: r-cran-osnmtf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-osnmtf_0.1.0-1.ca2004.1_all.deb
Size: 212784
MD5sum: 5edc74672ca92c032e4fb9032633bebd
SHA1: 9498374d913200bcca861827c6d1cf45c72dd190
SHA256: b05579a6ea6ae60e3c0b46874170bec169d6a2736e07f0c3770d719f518a6907
SHA512: bfc11058e5c06dc0b0a380f0fcf1d0c978af1bb0116a31320c4f21cfe5b8d82c30ef2169018fc78d7bfcee9a98ccf0b1974d7053d380f46b130fe1df34699aab
Homepage: https://cran.r-project.org/package=OSNMTF
Description: CRAN Package 'OSNMTF' (Orthogonal Sparse Non-Negative Matrix Tri-Factorization)
 A novel method to implement cancer subtyping and subtype specific drug
 targets identification via non-negative matrix tri-factorization.  To
 improve the interpretability, we introduce orthogonal constraint to the row
 coefficient matrix and column coefficient matrix. To meet the prior
 knowledge that each subtype should be strongly associated with few gene
 sets, we introduce sparsity constraint to the association sub-matrix. The
 average residue was introduced to evaluate the row and column cluster
 numbers. This is part of the work "Liver Cancer Analysis via Orthogonal
 Sparse Non-Negative Matrix Tri- Factorization" which will be submitted to
 BBRC.

Package: r-cran-osrm
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcppsimdjson, r-cran-curl, r-cran-mapiso, r-cran-googlepolylines, r-cran-sf
Suggests: r-cran-mapsf, r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-osrm_4.2.0-1.ca2004.1_all.deb
Size: 352864
MD5sum: 012090c6a8a91c2b8f3899a2d19972ac
SHA1: c8c20d7f619953d14c77336509a8e3df2e0357ca
SHA256: 9a78c458dd9fa74160df0745c4868b01e42ed9bd0afdd91844cef07d581a0f79
SHA512: 0f1ee861f25b03341594fd64148cea1febc875dcf81fffc8087080d3a33435ba65c3d6ae282f6e8bab83feb6cd63ce3e543eba53aef6a3ce49572bd3246e4b9b
Homepage: https://cran.r-project.org/package=osrm
Description: CRAN Package 'osrm' (Interface Between R and the OpenStreetMap-Based Routing ServiceOSRM)
 An interface between R and the 'OSRM' API. 'OSRM' is a routing service based
 on 'OpenStreetMap' data. See <http://project-osrm.org/> for more
 information. This package enables the computation of routes, trips,
 isochrones and travel distances matrices (travel time and kilometric
 distance).

Package: r-cran-osrmr
Architecture: all
Version: 0.1.36-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-bitops, r-cran-rjson, r-cran-r.utils, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-osrmr_0.1.36-1.ca2004.1_all.deb
Size: 87700
MD5sum: f2f1cdfd67d4317e2e3611618ea9015c
SHA1: 126a13f767b38d1332ccc11440f811d46a0da41e
SHA256: f7e1614ec8dc9502d762fb95cf414088069fc940afe5ee3632a38a25df3758eb
SHA512: 846faaa98246e40c1f03ec9c6273f938d0863060289423363412768ade4aa362e42b50eb7ce6d6644795148eda539abba7fd95821ccf0a18f8a7cbf3452eca37
Homepage: https://cran.r-project.org/package=osrmr
Description: CRAN Package 'osrmr' (Wrapper for the 'OSRM' API)
 Wrapper around the 'Open Source Routing Machine (OSRM)' API
 <http://project-osrm.org/>. 'osrmr' works with API versions 4 and 5 and can
 handle servers that run locally as well as the 'OSRM' webserver.

Package: r-cran-ossanma
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlcoptim, r-cran-deoptimr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-netmeta
Filename: pool/dists/focal/main/r-cran-ossanma_0.1.2-1.ca2004.1_all.deb
Size: 35444
MD5sum: c437a06f7d587bb77d41c06ff73e0b18
SHA1: 5fd41ace8d085423983992a15dd05ed4b3a6d2d4
SHA256: f5cc6eb0c90ee1097f1dea66f5467792c95655e8a5cca68c3a78f5c9d18c04f8
SHA512: a937f6a76b4c6c2f93b2896422390a42ee552092447127b28aff1f7c9235afb83377b4311c284a668cd80b3ce57c854ac9994d64a6d39d0d98a2411e7e7ca93c
Homepage: https://cran.r-project.org/package=OssaNMA
Description: CRAN Package 'OssaNMA' (Optimal Sample Size and Allocation with a Network Meta-Analysis)
 A system for calculating the minimum total sample size needed to achieve a
 prespecified power or the optimal allocation for each treatment group with a
 fixed total sample size to maximize the power.

Package: r-cran-ossurvival
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ossurvival_1.0-1.ca2004.1_all.deb
Size: 85576
MD5sum: 03fb27877d539ae7421dce752ffe9f2b
SHA1: 1d7e48b1f115ace6e2b429967084afd422cc0312
SHA256: daf171da5b88afeb1ef7dd99bd8974d90a05175c17a9c19190c735f00c9fe8b7
SHA512: 513fabcf055ba1afea7bc374a3516afe0eecd8db222e547d9bb22eea560ca37c362de1d0b5b6a0ad10a7bb8ecf3aba786612379c1f8627a4f99a2e514862af83
Homepage: https://cran.r-project.org/package=OSsurvival
Description: CRAN Package 'OSsurvival' (Assessing Surrogacy with a Censored Outcome)
 Identifies the optimal transformation of a surrogate marker and estimates
 the proportion of treatment explained (PTE) by the optimally-transformed
 surrogate at an earlier time point when the primary outcome of interest is a
 censored time-to-event outcome; details are described in Wang et al (2021)
 <doi:10.1002/sim.9185>.

Package: r-cran-ostats
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 876
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sfsmisc, r-cran-matrixstats, r-cran-circular, r-cran-hypervolume, r-cran-ggplot2, r-cran-gridextra, r-cran-viridis, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ostats_0.2.0-1.ca2004.1_all.deb
Size: 574044
MD5sum: 3039b8ccccf5121de17e472aee1522da
SHA1: 1ce31ff8847131b5f28a6bc662963fe2ec4a6619
SHA256: c72a1c1139607a9212205f67855086ebaea60fa148e6274b7e90f62cb980c6a0
SHA512: 31fd4b2d66ecca532b0ca8379294805478ce76df2ded9b13b3e0fed2ecd25e88b5e320c8484a88d773fa294a0b85fa6a05d1d95a6d9011b613bdf2181ac89fa1
Homepage: https://cran.r-project.org/package=Ostats
Description: CRAN Package 'Ostats' (O-Stats, or Pairwise Community-Level Niche Overlap Statistics)
 O-statistics, or overlap statistics, measure the degree of community-level
 trait overlap.  They are estimated by fitting nonparametric kernel density
 functions to each species’ trait distribution and calculating their areas of
 overlap. For instance, the median pairwise overlap for a community is
 calculated by first determining the overlap of each species pair in trait
 space, and then taking the median overlap of each species pair in a
 community.  This median overlap value is called the O-statistic (O for
 overlap).  The Ostats() function calculates separate univariate overlap
 statistics for each trait, while the Ostats_multivariate() function
 calculates a single multivariate overlap statistic for all traits.
 O-statistics can be evaluated against null models to obtain standardized
 effect sizes.  'Ostats' is part of the collaborative Macrosystems
 Biodiversity Project "Local- to continental-scale drivers of biodiversity
 across the National Ecological Observatory Network (NEON)."  For more
 information on this project, see the Macrosystems Biodiversity Website
 (<https://neon-biodiversity.github.io/>). Calculation of O-statistics is
 described in Read et al. (2018) <doi:10.1111/ecog.03641>, and a teaching
 module for introducing the underlying biological concepts at an
 undergraduate level is described in Grady et al.  (2018)
 <http://tiee.esa.org/vol/v14/issues/figure_sets/grady/abstract.html>.

Package: r-cran-oste
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-pec, r-cran-survival, r-cran-prodlim
Filename: pool/dists/focal/main/r-cran-oste_1.0-1.ca2004.1_all.deb
Size: 35184
MD5sum: fece984c747b6b02392e2d1d2837443e
SHA1: 6aacdfbdce41d1ebf6d2fff2acb188b458543507
SHA256: 100074e9cc8a083b4509026367fb33dc4ad350e439fb075a7b3f8d8ccdc3d898
SHA512: b30040b3cb20975590e60109ee70aabd215814f3484026d2697b2bbc6db09c81f1ce9139935640a65c1f6ef945d7f25d40eb3c13b60f12fdef6d7f4cf4f59259
Homepage: https://cran.r-project.org/package=OSTE
Description: CRAN Package 'OSTE' (Optimal Survival Trees Ensemble)
 Function for growing survival trees ensemble ('Naz Gul', 'Nosheen Faiz',
 'Dan Brawn', 'Rafal Kulakowski', 'Zardad Khan', and 'Berthold Lausen' (2020)
 <arXiv:2005.09043>) is given.  The trees are grown by the method of random
 survival forest ('Marvin Wright', 'Andreas Ziegler' (2017)
 <doi:10.18637/jss.v077.i01>).  The survival trees grown are assessed for
 both individual and collective performances.  The ensemble can give
 promising results on fewer survival trees selected in the final ensemble.

Package: r-cran-osum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1367
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-foreign, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-osum_0.1.0-1.ca2004.1_all.deb
Size: 407032
MD5sum: 7c22ab6b361c69a493832282c55143ee
SHA1: c0f37c650fd70131f0f8ed97b14417204da6dc44
SHA256: 57e89cd2acfde0f5b91a1205afe406da636b7d17ba749049397bb446ee9ca16d
SHA512: 36e9a49269c8428853e92d3246959642a548a0ee55a289e9fae35ea4255c392d2ef62e6684b1c521d05d3fdac87594bc73f08ba327262f7a5c8e3fccfd9a9e4c
Homepage: https://cran.r-project.org/package=osum
Description: CRAN Package 'osum' (Provide Summary Information About R Objects)
 Inspired by 'S-PLUS' function objects.summary(), provides a function with
 the same name that returns data class, storage mode, mode, type, dimension,
 and size information for R objects in the specified environment. Various
 filtering and sorting options are also proposed.

Package: r-cran-ot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ot_0.2.0-1.ca2004.1_all.deb
Size: 23564
MD5sum: dfd35437fe942544fd605371939440fb
SHA1: 624e2557ed9e2bdea3f0439f4cf849a838f2a9ed
SHA256: 17ccd2fee48fef2e6f286e2d2cdd1533b79ffcb490d228a680304430fc5860b1
SHA512: fe03236e09a1e0884e0521ed7bf86e249d239ff89f3be332f8c93f91234fb3e400573c1d8a6a2626bb517a41a8104f389b6646b08994cdf53e8a5cf9ef0a81dc
Homepage: https://cran.r-project.org/package=ot
Description: CRAN Package 'ot' ('Open Tracing')
 'Open Tracing' <https://opentracing.io> allows developers to add
 instrumentation to their application code using interfaces that are
 vendor-agnostic. This is used to monitor services, triage failures and find
 performance bottlenecks, among other things. The 'ot' package has generic
 methods to be extended when implementing the specification for a specific
 vendor.

Package: r-cran-otargen
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 934
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ghql, r-cran-janitor, r-cran-ggiraphextra, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-jsonlite, r-cran-rlang, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-otargen_1.1.5-1.ca2004.1_all.deb
Size: 903472
MD5sum: e7c9f3797c8c0bb7a38aeb20cc35537c
SHA1: 7aeeb5066c820e71974d978fec59c1243dea98d6
SHA256: a7c836c5c933659d1024e73550707ed6c3d9b155172e360b15b61ed2cb5aff00
SHA512: f2c33fbf695827cd62ac3b103494a167fd0f464fd69806378fe3c23556b9bcef25aa19b4071bb38db9894a373476da1af1ed74fad9fffd4db4415e867cb0bd30
Homepage: https://cran.r-project.org/package=otargen
Description: CRAN Package 'otargen' (Access Open Target Genetics)
 Interact seamlessly with Open Target Genetics' GraphQL endpoint to query and
 retrieve tidy data tables, facilitating the analysis of genetic data. For
 more information about the Open Target Genetics API
 (<https://genetics.opentargets.org/api>).

Package: r-cran-otbsegm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1597
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-terra, r-cran-link2gi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-otbsegm_0.1.0-1.ca2004.1_all.deb
Size: 1574228
MD5sum: 1929fc32b82b1286d1e22eb8b676d06d
SHA1: b2ae8c5564081173c53492fc7ed699e02d4726ce
SHA256: c47ccfda3454658ad7c1853de3f4eba3ac082197a02db221cd806bd8426f23f4
SHA512: 20bfb961dc0cd5307b6032939b5427f28ea8caf577ce571c920b5b8ec0257567cd4ac30ecd4d2baacddc0fa0048cb0affad2e7f5be738369c17ec6c5c6c7491b
Homepage: https://cran.r-project.org/package=OTBsegm
Description: CRAN Package 'OTBsegm' (Apply Unsupervised Segmentation Algorithms from 'OTB')
 Apply unsupervised segmentation algorithms included in 'Orfeo ToolBox'
 software (<https://www.orfeo-toolbox.org/>), such as mean shift or watershed
 segmentation.

Package: r-cran-ote
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-ote_1.0.1-1.ca2004.1_all.deb
Size: 83608
MD5sum: 3ea081d6351d5d71f9ab1d627f4f92e6
SHA1: 294281af939cf2f45cdd250852e406de611effd2
SHA256: 44d4fa899a8661952e4cfb983621d44e2530e1c86a900b0f3e7968547a58a554
SHA512: 0872c9dfc314041824c042a9763b0eaa3e116390c1c04c15475ac22ae5354d20251d8a994941ae8ad05ac032f8f0b3fdba44c11a698e073465f61fe0475f12a9
Homepage: https://cran.r-project.org/package=OTE
Description: CRAN Package 'OTE' (Optimal Trees Ensembles for Regression, Classification and ClassMembership Probability Estimation)
 Functions for creating ensembles of optimal trees for regression,
 classification (Khan, Z., Gul, A., Perperoglou, A., Miftahuddin, M.,
 Mahmoud, O., Adler, W., & Lausen, B. (2019). (2019)
 <doi:10.1007/s11634-019-00364-9>) and class membership probability
 estimation (Khan, Z, Gul, A, Mahmoud, O, Miftahuddin, M, Perperoglou, A,
 Adler, W & Lausen, B (2016) <doi:10.1007/978-3-319-25226-1_34>) are given. A
 few trees are selected from an initial set of trees grown by random forest
 for the ensemble on the basis of their individual and collective
 performance. Three different methods of tree selection for the case of
 classification are given. The prediction functions return estimates of the
 test responses and their class membership probabilities. Unexplained
 variations, error rates, confusion matrix, Brier scores, etc. are also
 returned for the test data.

Package: r-cran-otinference
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rglpk, r-cran-sm
Suggests: r-cran-rcplex
Filename: pool/dists/focal/main/r-cran-otinference_0.1.0-1.ca2004.1_all.deb
Size: 25244
MD5sum: 6fab47c2a1c49e0fd49f78ea3a4e46f8
SHA1: 961e563069334e978323a477fb24402bbd974bd2
SHA256: b828f4ea77f176d11f13f0f5542413b118180d8c3f7199b4fdbfcbb519fa243c
SHA512: 9f00297afcb1abf958f19e8ef0544a621be1bfd1a1df38380cdedea888560a7cb03ace399cb04fd93b7ed30d05d5e4732bc57fe0139fd99d076a832ceaaf478a
Homepage: https://cran.r-project.org/package=otinference
Description: CRAN Package 'otinference' (Inference for Optimal Transport)
 Sample from the limiting distributions of empirical Wasserstein distances
 under the null hypothesis and under the alternative. Perform a two-sample
 test on multivariate data using these limiting distributions and binning.

Package: r-cran-otp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-base64url, r-cran-openssl
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-otp_0.1.1-1.ca2004.1_all.deb
Size: 99764
MD5sum: 22675ba52bf218edb078bd3b158c49cb
SHA1: 6991656bb55fbedf174734961c52401827f0e390
SHA256: 0c3c46e6419171d11a76eee673ef6ed165a61a87d9791feb255fc1db46cc78c6
SHA512: 5055c091ccb775bb88a4fe7e0a30274266af9938bd303c0bb2d96f6ad53da412f232793e9ceca8281d884c5345b31c6530f575145bd06cf56ab46256d978aa92
Homepage: https://cran.r-project.org/package=otp
Description: CRAN Package 'otp' (One Time Password Generation and Verification)
 Generating and validating One-time Password based on Hash-based Message
 Authentication Code (HOTP) and Time Based One-time Password (TOTP) according
 to RFC 4226 <https://datatracker.ietf.org/doc/html/rfc4226> and RFC 6238
 <https://datatracker.ietf.org/doc/html/rfc6238>.

Package: r-cran-otpr
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-httr, r-cran-geojsonsf, r-cran-janitor, r-cran-jsonlite, r-cran-sf, r-cran-urltools, r-cran-dplyr, r-cran-rrapply, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-otpr_0.5.1-1.ca2004.1_all.deb
Size: 725688
MD5sum: 97133436dfe42e70022074293034485e
SHA1: ddb7e2ef54aaf3df9cf3543dce1d77d3a0dffe76
SHA256: b127e439bdc07adfdc5fff439a50748e14c75bb09f03fb7f3d90dfbf1c50cdec
SHA512: 4c7a77a811d49049b31487c6ab2714917a454b1f748103fba8425cbf51839842ef4e40b9e1b9862fb79d66879a0e159bbccf6b16b7bb44531feb56195232f6e7
Homepage: https://cran.r-project.org/package=otpr
Description: CRAN Package 'otpr' (An R Wrapper for the 'OpenTripPlanner' REST API)
 A wrapper for the 'OpenTripPlanner' <http://www.opentripplanner.org/> REST
 API. Queries are submitted to the relevant 'OpenTripPlanner' API resource,
 the response is parsed and useful R objects are returned.

Package: r-cran-otrecod
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-mice, r-cran-missmda, r-cran-plyr, r-cran-factominer, r-cran-statmatch, r-cran-proxy, r-cran-rdist, r-cran-roi, r-cran-roi.plugin.glpk, r-cran-ompr, r-cran-ompr.roi, r-cran-party, r-cran-vcd
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-otrecod_0.1.2-1.ca2004.1_all.deb
Size: 420992
MD5sum: 87cc34fe1e5128861a9c32d7bf776b51
SHA1: fe11332d931bae899d4579d7232a43641d01bf0a
SHA256: c7cc935986b74cce536515120e52f57f09b71b5a0a6fd7febc56a550f48ff474
SHA512: 057bd6192547bbc50fd414e931f6e51ca7fd37bde109c7200671126626af10ed12001f57f8fcde7900c546170ecb95799306db8897a7e173c6c745866a74c430
Homepage: https://cran.r-project.org/package=OTrecod
Description: CRAN Package 'OTrecod' (Data Fusion using Optimal Transportation Theory)
 In the context of data fusion, the package provides a set of functions
 dedicated to the solving of 'recoding problems' using optimal transportation
 theory (Gares, Guernec, Savy (2019) <doi:10.1515/ijb-2018-0106> and Gares,
 Omer (2020) <doi:10.1080/01621459.2020.1775615>). From two databases with no
 overlapping part except a subset of shared variables, the functions of the
 package assist users until obtaining a unique synthetic database, where the
 missing information is fully completed.

Package: r-cran-otrimle
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-foreach, r-cran-doparallel, r-cran-robustbase, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-otrimle_2.0-1.ca2004.1_all.deb
Size: 185980
MD5sum: dfa2c5f6c88b295136aa236574b61253
SHA1: 81feee639dd9383b3e425ddcce2074dd8650f261
SHA256: 2c42e7a7c5729bc51c3c1321f08f9f05107e54b6854dbe72fe9d5dfb1368cbf9
SHA512: 9506af8c9e1d96b7faefa72edaa47fd2beea0ee22458d875620a7bb241bb6bc081c9ea945b9289e911e823687cfa18799d35106c6aa2a4bea7154257a5fc2419
Homepage: https://cran.r-project.org/package=otrimle
Description: CRAN Package 'otrimle' (Robust Model-Based Clustering)
 Performs robust cluster analysis allowing for outliers and noise that cannot
 be fitted by any cluster. The data are modelled by a mixture of Gaussian
 distributions and a noise component, which is an improper uniform
 distribution covering the whole Euclidean space. Parameters are estimated by
 (pseudo) maximum likelihood. This is fitted by a EM-type algorithm. See
 Coretto and Hennig (2016) <doi:10.1080/01621459.2015.1100996>, and Coretto
 and Hennig (2017) <https://jmlr.org/papers/v18/16-382.html>.

Package: r-cran-otrkm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgenoud, r-cran-survival
Filename: pool/dists/focal/main/r-cran-otrkm_0.2.1-1.ca2004.1_all.deb
Size: 94656
MD5sum: 498724fd5e657136fd96837a98c92f9e
SHA1: ae05790a6ae823e3fcae18288de606216d4e662a
SHA256: 78805d650fc27c009887dad1eec80676e7c0f16340359614f6030628045afc3d
SHA512: 11580bfde1fc1dfe4d3c2959dc1db54403f1a483f2d0fc4e3d76bebaf5f7f913d858b7c9e4d96c98316792c9de05e43449cca941061566da78e163a14cdc16c7
Homepage: https://cran.r-project.org/package=otrKM
Description: CRAN Package 'otrKM' (Optimal Treatment Regimes in Survival Contexts withKaplan-Meier-Like Estimators)
 Provide methods for estimating optimal treatment regimes in survival
 contexts with Kaplan-Meier-like estimators when no unmeasured confounding
 assumption is satisfied (Jiang, R., Lu, W., Song, R., and Davidian, M.
 (2017) <doi:10.1111/rssb.12201>) and when no unmeasured confounding
 assumption fails to hold and a binary instrument is available (Xia, J.,
 Zhan, Z., Zhang, J. (2022) <arXiv:2210.05538>).

Package: r-cran-otrselect
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lars, r-cran-survival
Filename: pool/dists/focal/main/r-cran-otrselect_1.3-1.ca2004.1_all.deb
Size: 43124
MD5sum: 70352eff5b5c70cfeaa5423d7a5ebc9f
SHA1: acbf6d25b066b2109d72f8ecdac9ee82da1d4f99
SHA256: f397949cab5f77940dba6d5253913067f8e70a586aef7cb7fc0a1842093aae1d
SHA512: f79363c744f1298c98e0be969b0c5a0b33b79bc1ce10e5587a1b3c2ef4f85953cda4d3dbfce01bc60c980e9cc63908c26badf69c56ad39d1f33bcca18cc2c250
Homepage: https://cran.r-project.org/package=OTRselect
Description: CRAN Package 'OTRselect' (Variable Selection for Optimal Treatment Decision)
 A penalized regression framework that can simultaneously estimate the
 optimal treatment strategy and identify important variables.  Appropriate
 for either censored or uncensored continuous response.

Package: r-cran-otsad
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2751
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-sigmoid, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-stream, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-otsad_0.2.0-1.ca2004.1_all.deb
Size: 1701708
MD5sum: 83ec3b153c523301c2c23ecb8f4ee58b
SHA1: e53bc8320646e3f76e31e0444294dc18093ee95e
SHA256: 50a09bb84e239010d822d06bc9639919f1dbabec5c47eccf4b98436ae2dad52a
SHA512: 131c99b52baab9ae4a094519fd9fcd97f692e0d43172db0eb4aa8dbe76977aed8a3d39773c66b6f4f500e92aeec342813391005012b72a76aed7377377d0b7f0
Homepage: https://cran.r-project.org/package=otsad
Description: CRAN Package 'otsad' (Online Time Series Anomaly Detectors)
 Implements a set of online fault detectors for time-series, called: PEWMA
 see M. Carter et al. (2012) <doi:10.1109/SSP.2012.6319708>, SD-EWMA and
 TSSD-EWMA see H. Raza et al.  (2015) <doi:10.1016/j.patcog.2014.07.028>,
 KNN-CAD see E. Burnaev et al. (2016) <arXiv:1608.04585>, KNN-LDCD see V.
 Ishimtsev et al. (2017) <arXiv:1706.03412> and CAD-OSE see M. Smirnov (2018)
 <https://github.com/smirmik/CAD>. The first three algorithms belong to
 prediction-based techniques and the last three belong to window-based
 techniques. In addition, the SD-EWMA and PEWMA algorithms are algorithms
 designed to work in stationary environments, while the other four are
 algorithms designed to work in non-stationary environments.

Package: r-cran-otsfeatures
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-astsa, r-cran-latex2exp, r-cran-rdpack, r-cran-bolstad2
Filename: pool/dists/focal/main/r-cran-otsfeatures_1.0.0-1.ca2004.1_all.deb
Size: 312816
MD5sum: 83e0ce4fdbd5e28c5f483acdf0b2cd92
SHA1: 102ef83b1a13f9c641d3e811a37569a991fb904f
SHA256: 003c1f198e09779663a1f9340c1c88ddae253258908d5a11aa77b03e5de3e5ce
SHA512: 450eee127ce7a289022619a06d2c213c181931683b959e9ec3da8880d460592858de7f25991985d10e6e332431ccd0d1afbb0e281e51906b1ca1b7063912a443
Homepage: https://cran.r-project.org/package=otsfeatures
Description: CRAN Package 'otsfeatures' (Ordinal Time Series Analysis)
 An implementation of several functions for feature extraction in ordinal
 time series datasets. Specifically, some of the features proposed by Weiss
 (2019) <doi:10.1080/01621459.2019.1604370> can be computed.  These features
 can be used to perform inferential tasks or to feed machine learning
 algorithms for ordinal time series, among others. The package also includes
 some interesting datasets containing financial time series. Practitioners
 from a broad variety of fields could benefit from the general framework
 provided by 'otsfeatures'.

Package: r-cran-otsufire
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-gdalutilities, r-cran-glue, r-cran-purrr, r-cran-raster, r-cran-sf, r-cran-stringr, r-cran-terra, r-cran-magrittr, r-cran-tidyr, r-cran-rlang, r-cran-otsuseg
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-otsufire_0.1.4-1.ca2004.1_all.deb
Size: 205468
MD5sum: ab91c2c9001e22d369397ed736cde553
SHA1: a3fbd8491252591913e919006f5aa86feeaf4c5d
SHA256: ffd4a4cfabdca5404a76d97333ae1c1955dc6c7641db33793b9f966001b8d654
SHA512: 684f77b5e1bb5c70eb455b3a4c652714240f05f4c8442bb8d56ea60864f11cfba3218e36209dbfcd85f6e1b03614ebb81e2f05d0ab5b0a9e667d85cd1e2ea2d4
Homepage: https://cran.r-project.org/package=OtsuFire
Description: CRAN Package 'OtsuFire' (Fire Scars, Severity and Regeneration Mapping Using 'Otsu'Thresholding)
 Tools to segment fire scars and assess severity and vegetation regeneration
 using 'Otsu' thresholding on Relative Burn Ratio (RBR) and differenced
 Normalized Burn Ratio (dNBR) image composites.  Includes support for mosaic
 handling, polygon metrics, post-fire regeneration detection, day-of-year
 flagging, and validation against reference datasets. Designed for analysis
 of fire history in the Iberian Peninsula.  Input Landsat composites follow
 the methodology described in Quintero et al. (2025)
 <doi:10.2139/ssrn.4929831>.

Package: r-cran-otsuseg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-raster, r-cran-zoo, r-cran-sf
Suggests: r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-otsuseg_0.1.0-1.ca2004.1_all.deb
Size: 40136
MD5sum: cc2cf531566bc685a847bf6c84487a09
SHA1: f858f88512a4cb4da59491b814fd40cfee56078b
SHA256: 1c0ca08269b39975c97e090bbbf8ad2fd2570edb8f8780dfe608eb6e6cdc208f
SHA512: 1b2662ebf9122aa140748f572f98359f36a91f0c1f220d6fde543bea7651da0f23a4079da2ed7813a597d1b7e5e7636680823c9a74984bab259c873107670cd8
Homepage: https://cran.r-project.org/package=OtsuSeg
Description: CRAN Package 'OtsuSeg' (Raster Thresholding Using Otsu´s Algorithm)
 Provides tools to process raster data and apply Otsu-based thresholding for
 burned area mapping and other image segmentation tasks. Implements the
 method described by Otsu (1979) <doi:10.1109/TSMC.1979.4310076>, a
 data-driven technique that determines an optimal threshold by maximizing the
 inter-class variance of pixel intensities. It includes validation functions
 to assess segmentation accuracy against reference data using standard
 accuracy metrics such as precision, recall, and F1-score.

Package: r-cran-ottr
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-testthat, r-cran-r6, r-cran-zip
Suggests: r-cran-irdisplay, r-cran-mockery, r-cran-rmarkdown, r-cran-stringr, r-cran-withr, r-cran-irkernel
Filename: pool/dists/focal/main/r-cran-ottr_1.5.1-1.ca2004.1_all.deb
Size: 195060
MD5sum: 423fa8389f8b655da95ee3b20cc5ac58
SHA1: f127607f1b294c043274ebb796b5ae3dd3ff2870
SHA256: ea62313c2e7c213adb0a6fcfccce56ac73635d3a49e66800a8b5976dadd8a9d0
SHA512: 37a8bdacdf911cbd037b288031eb0e4b54fb34dfee25524ca33244b68f0d31357ec64e38d31e2e66bbcb6f89b7d6b35ddee5b37bd76948e31169f9e85e01f059
Homepage: https://cran.r-project.org/package=ottr
Description: CRAN Package 'ottr' (An R Autograding Extension for Otter-Grader)
 An R autograding extension for Otter-Grader
 (<https://otter-grader.readthedocs.io>). It supports grading R scripts, R
 Markdown documents, and R Jupyter Notebooks.

Package: r-cran-ottrpal
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 925
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-readr, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-gitcreds, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-rprojroot, r-cran-webshot2, r-cran-openssl, r-cran-spelling, r-cran-xml2, r-cran-r.utils, r-cran-googledrive, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-testthat, r-cran-bookdown, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-ottrpal_2.0.0-1.ca2004.1_all.deb
Size: 418140
MD5sum: e6ef32d44a4266e8ca1bf11a5952c2b9
SHA1: 732649cba6b44679448703e489d6f91ae368b5b6
SHA256: b697ead445cded38473472ce8f359e19b27541a63ebd387dde0ea4e3dfb257d7
SHA512: 9b2a827df9bf753640944f08b4c654680e099d4291339e88b28a2382d25db781f1149370b1aa69043455b033c2ceeee5d13d2a6b8db2584b020d97393e9ac865
Homepage: https://cran.r-project.org/package=ottrpal
Description: CRAN Package 'ottrpal' (Companion Tools for Open-Source Tools for Training Resources(OTTR))
 Tools for converting Open-Source Tools for Training Resources (OTTR) courses
 into Leanpub or Coursera courses. 'ottrpal' is for use with the OTTR
 Template repository to create courses.

Package: r-cran-otusummary
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-otusummary_0.1.2-1.ca2004.1_all.deb
Size: 237180
MD5sum: f0a514464cd7bd662bd7871482070f1c
SHA1: 7b43a1ffd96f36f24cbe31153b27f550dcb4d97c
SHA256: a31efec6dec1f46f207c2e19b88e022f44b0bedd3efbfde07700c3a99d3b8666
SHA512: 51874aa8fa7de10554da83ceacebb2025018eed18785beb0a47ed501592374c817d3a3a3638576ae931c985bbf67aff1162b90d0bd0ddcfe8586d0edac7076ec
Homepage: https://cran.r-project.org/package=otuSummary
Description: CRAN Package 'otuSummary' (Summarizing OTU Table Regarding the Composition, Abundance andBeta Diversity of Abundant and Rare Biospheres)
 Summarizes the taxonomic composition, diversity contribution of the rare and
 abundant community by using OTU (operational taxonomic unit) table which was
 generated by analyzing pipeline of 'QIIME' or 'mothur'. The rare biosphere
 in this package is subset by the relative abundance threshold (for details
 about rare biosphere please see Lynch and Neufeld (2015)
 <doi:10.1038/nrmicro3400>).

Package: r-cran-otutable
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 582
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-otutable_1.1.2-1.ca2004.1_all.deb
Size: 548936
MD5sum: 003dc551c9d9dd2b4447489ff16fdf9a
SHA1: a57284be9533404753b5870c55a5127b9440b70e
SHA256: 83ef034b55877763a1c865adaa23127cc5715469f2ff78843a30073db49e2d77
SHA512: 3b6808ef967246522696fb3637deac3dfe097335c2aa34411b9cfd7889c57e8bd9bae2fe28a5286d89c2e1646400707e7979607e68a0f8f3a61f5521d291e5e6
Homepage: https://cran.r-project.org/package=OTUtable
Description: CRAN Package 'OTUtable' (North Temperate Lakes - Microbial Observatory 16S Time SeriesData and Functions)
 Analyses of OTU tables produced by 16S rRNA gene amplicon sequencing, as
 well as example data. It contains the data and scripts used in the paper
 Linz, et al. (2017) "Bacterial community composition and dynamics spanning
 five years in freshwater bog lakes," <doi: 10.1128/mSphere.00169-17>.

Package: r-cran-ouladformat
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ouladformat_1.2.2-1.ca2004.1_all.deb
Size: 115268
MD5sum: 9c5b75f2261c8170b7d44ffb1a9915f7
SHA1: e95a834fa0205c1ea7282160003b940ad1ad09c4
SHA256: fb9368eba41ae651a06a1c0c6b95846e195c04d4c98c8ea84512b702ba2913b7
SHA512: 21bad632fac8e1c108feafbf55af5ff37b7c8bff3ef21b1ad4fb7cd5df150f680c2e45ae09b77cd47bed31fb06642563d0e59607e9de69ab16890cab25694be5
Homepage: https://cran.r-project.org/package=ouladFormat
Description: CRAN Package 'ouladFormat' (Loads and Formats the Open University Learning Analytics Datasetfor Data Analysis)
 The Open University Learning Analytics Dataset (OULAD) is available from
 Kuzilek et al. (2017) <doi:10.1038/sdata.2017.171>.  The 'ouladFormat'
 package loads, cleans and formats the OULAD for data analysis (each row of
 the returned data set is an individual student). The package’s main
 function, combined_dataset(), allows the user to choose whether the returned
 data set includes assessment, demographics, virtual learning environment
 (VLE), or registration variables etc.

Package: r-cran-outbreaks
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1399
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-ape, r-cran-incidence
Filename: pool/dists/focal/main/r-cran-outbreaks_1.9.0-1.ca2004.1_all.deb
Size: 1307556
MD5sum: d6e55b5a0e591715351be7822b755088
SHA1: a3c07b1250a2d09a153de0854f6b411b9ec44b94
SHA256: 03d5f138b0405397a4859493c47bfca9007e81b224924329f43abb48d99ffb34
SHA512: fef34221b5058f07746dcb5a1c898e72479cfce734c672e7c3a4a6fb97ad0641ed725430ab2c5d03cb3bd55c4239a2e8f094fa48c540cd3d851e816dc47a3768
Homepage: https://cran.r-project.org/package=outbreaks
Description: CRAN Package 'outbreaks' (A Collection of Disease Outbreak Data)
 Empirical or simulated disease outbreak data, provided either as RData or as
 text files.

Package: r-cran-outcomerate
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-tidyr, r-cran-covr, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-outcomerate_1.0.1-1.ca2004.1_all.deb
Size: 119860
MD5sum: 0af75990c7db8d0c4a5f11bccaf0e2b5
SHA1: 407b4bab54fc1b0b0455ac063632408c7f688290
SHA256: fd2ee470dccf55c3b96ad8d0d6b47e4e6f29746ef72fd7fa2186cbb0cc96fc9d
SHA512: 74f2cf4f4aced56b099b511e54b6472d5d863008afb14cd059fe64765f739c7b4a568ea4338eb70799ca146558433b2259663ea1bab84f64ee1c8100ad1d2871
Homepage: https://cran.r-project.org/package=outcomerate
Description: CRAN Package 'outcomerate' (AAPOR Survey Outcome Rates)
 Standardized survey outcome rate functions, including the response rate,
 contact rate, cooperation rate, and refusal rate. These outcome rates allow
 survey researchers to measure the quality of survey data using definitions
 published by the American Association of Public Opinion Research (AAPOR).
 For details on these standards, see AAPOR (2016)
 <https://www.aapor.org/Standards-Ethics/Standard-Definitions-(1).aspx>.

Package: r-cran-outforest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fnn, r-cran-ranger, r-cran-missranger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-outforest_1.0.1-1.ca2004.1_all.deb
Size: 116228
MD5sum: 5f2bd5975e4f482c0ec0a57ce454161d
SHA1: db64c0ae67bf06366aa59b461525cb1edf86fb9c
SHA256: 38b600cc28463e014265b714ae03c091b59df115ceceffaf05149539acef8fb0
SHA512: e0b0240aff7521c11c3d41a97e4b3556311ecad8e7d4c1c3e5fd738f79c820c93269d8112b7bc0b6bf20981e19a739a08f266ed0526d65905a6edaac1824d31f
Homepage: https://cran.r-project.org/package=outForest
Description: CRAN Package 'outForest' (Multivariate Outlier Detection and Replacement)
 Provides a random forest based implementation of the method described in
 Chapter 7.1.2 (Regression model based anomaly detection) of Chandola et al.
 (2009) <doi:10.1145/1541880.1541882>. It works as follows: Each numeric
 variable is regressed onto all other variables by a random forest. If the
 scaled absolute difference between observed value and out-of-bag prediction
 of the corresponding random forest is suspiciously large, then a value is
 considered an outlier. The package offers different options to replace such
 outliers, e.g. by realistic values found via predictive mean matching. Once
 the method is trained on a reference data, it can be applied to new data.

Package: r-cran-outlierdm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-matrixmodels, r-cran-outliers, r-cran-pcapp
Filename: pool/dists/focal/main/r-cran-outlierdm_1.1.1-1.ca2004.1_all.deb
Size: 235960
MD5sum: 7efd6bff4de0210bab808cf1b39cffe8
SHA1: c462c6f4eab859d0206e6b331a94a34655870c4b
SHA256: 21c8d91408adc5ae6eec85cb13a04be31add74e6502226f7c380406c43a87054
SHA512: 79d7f75a450b79790f984179af2ea9e1676479c1712f0613661e37bcdf9b143897fbce373d71d53c9011abf2767c707e99b347a13b983ee2e4e69baf9d6b7061
Homepage: https://cran.r-project.org/package=OutlierDM
Description: CRAN Package 'OutlierDM' (Outlier Detection for Multi-replicated High-throughput Data)
 Detecting outlying values such as genes, peptides or samples for
 multi-replicated high-throughput high-dimensional data

Package: r-cran-outlierensembles
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 959
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-airt, r-cran-estcrm, r-cran-psych, r-cran-apcluster
Suggests: r-cran-dbscan, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-outlierensembles_0.1.3-1.ca2004.1_all.deb
Size: 787160
MD5sum: d762e305bc031bb111b7b93f0c26bb07
SHA1: 640a31cd4eaef2d9132f32ce069a397f847dcbb7
SHA256: ce717ef2fc5fd7aa6754174bc009c4380745fcbca1a5cbcff65c3f9052371992
SHA512: 7872b8ee1aa452d0222ff3bf2c88460369217d237f90266d112fb8098c82cb732ee14514fcbbf75814a761b0c607d6df5ff1de545ee6b46758965ebc4e56c8be
Homepage: https://cran.r-project.org/package=outlierensembles
Description: CRAN Package 'outlierensembles' (A Collection of Outlier Ensemble Algorithms)
 Ensemble functions for outlier/anomaly detection. There is a new ensemble
 method proposed using Item Response Theory. Existing outlier ensemble
 methods from Schubert et al (2012) <doi:10.1137/1.9781611972825.90>, Chiang
 et al (2017) <doi:10.1016/j.jal.2016.12.002> and Aggarwal and Sathe (2015)
 <doi:10.1145/2830544.2830549> are also included.

Package: r-cran-outliermbc
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-clusterr, r-cran-dbscan, r-cran-flexcwm, r-cran-ggplot2, r-cran-mixture, r-cran-mvtnorm, r-cran-spatstat.univar
Filename: pool/dists/focal/main/r-cran-outliermbc_0.0.1-1.ca2004.1_all.deb
Size: 391576
MD5sum: ed88eb865aabbf980aba70e132cd07d1
SHA1: d89c5fa5e0b00cd2ebe96152c39e0e2aff722478
SHA256: 8e8cf923317f8f65fa61be304537d15ad763b817cc8d0ffe3dd0e54e59849960
SHA512: ceae6a847ed696fdda1ff7a11c9da6da796a386ba3d0c186f28ee08cbac5b495f76bf75bd41228e6cb50b8639a8f5bcb7366f1294849e4d727813427e21213ef
Homepage: https://cran.r-project.org/package=outlierMBC
Description: CRAN Package 'outlierMBC' (Sequential Outlier Identification for Model-Based Clustering)
 Sequential outlier identification for Gaussian mixture models using the
 distribution of Mahalanobis distances. The optimal number of outliers is
 chosen based on the dissimilarity between the theoretical and observed
 distributions of the scaled squared sample Mahalanobis distances.  Also
 includes an extension for Gaussian linear cluster-weighted models using the
 distribution of studentized residuals.  Doherty, McNicholas, and White
 (2025) <doi:10.48550/arXiv.2505.11668>.

Package: r-cran-outliers.ts.oga
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-forecast, r-cran-gsarima, r-cran-parallelly, r-cran-robust, r-cran-slbdd
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-outliers.ts.oga_1.0.1-1.ca2004.1_all.deb
Size: 59472
MD5sum: 2d1f91f5f96f4e9e6de0c073ca4b0e41
SHA1: 4ad9a8f7ed4928d423afba78edd569351a925d68
SHA256: 8afe89b6fe07152780f39764eaca28aace0a75373491d3dc898c2f17567aa145
SHA512: 4dbc474a1864234508260bf34eff2ddb0a6b7761188cbfb088e7a5df853879af847cfa76823380522f8ca26c602b8ffc1d123cb153d91efe8945df2e067193b7
Homepage: https://cran.r-project.org/package=outliers.ts.oga
Description: CRAN Package 'outliers.ts.oga' (Efficient Outlier Detection for Large Time Series Databases)
 Programs for detecting and cleaning outliers in single time series and in
 time series from homogeneous and heterogeneous databases using an Orthogonal
 Greedy Algorithm (OGA) for saturated linear regression models. The programs
 implement the procedures presented in the paper entitled "Efficient Outlier
 Detection for Large Time Series Databases" by Pedro Galeano, Daniel Peña and
 Ruey S. Tsay (2025), working paper, Universidad Carlos III de Madrid.
 Version 1.0.1 contains some improvements to the algorithm, so the results
 may vary slightly compared to those obtained with version 0.0.1.

Package: r-cran-outliers
Architecture: all
Version: 0.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-outliers_0.15-1.ca2004.1_all.deb
Size: 83544
MD5sum: c26da4dac37c8cbde64c23fdc6052825
SHA1: 8e3ea4009b1926a7eed6d890e06c66ec39f1a687
SHA256: c7ecf04239496320da80e93a6349b05ff3cc7c9b2016c76de3cec183230b96b9
SHA512: b554cef4d3fac3bd68390d9927074c4847dd56ae82abc517db96d1698b3a0fc7548a3ad343eb8abd8a337b9bfd9d3d6532517a4aa1928f2a91f88ae70699584a
Homepage: https://cran.r-project.org/package=outliers
Description: CRAN Package 'outliers' (Tests for Outliers)
 A collection of some tests commonly used for identifying outliers.

Package: r-cran-outlierslearn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-outlierslearn_1.0.0-1.ca2004.1_all.deb
Size: 94732
MD5sum: d6209d587d4851715672491503963081
SHA1: 4f1ee357813abeda4278e5f669035b2a41fee3ce
SHA256: 9dbc5effaaad58d4956e3d6225085744da8f415b4515313b1eed6fb13dd9faf2
SHA512: 594117e723684507a676881683d179e9b2361e689992cab1e6143bc2764c804647e21f304fdf82cc5e35e884f06d9189fc1255fc7b387ff1c5853f7115ec7652
Homepage: https://cran.r-project.org/package=OutliersLearn
Description: CRAN Package 'OutliersLearn' (Educational Outlier Package with Common Outlier DetectionAlgorithms)
 Provides implementations of some of the most important outlier detection
 algorithms.  Includes a tutorial mode option that shows a description of
 each algorithm and provides a step-by-step execution explanation of how it
 identifies outliers from the given data with the specified input parameters.
 References include the works of Azzedine Boukerche, Lining Zheng, and Omar
 Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020)
 <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011)
 <doi:10.1002/widm.19>.

Package: r-cran-outlierso3
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlist, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-hdoutliers, r-cran-robustbase, r-cran-robustx, r-cran-fastpcs, r-cran-cellwise, r-cran-ggally, r-cran-memisc
Suggests: r-cran-knitr, r-cran-gridextra, r-cran-rmarkdown, r-cran-languager
Filename: pool/dists/focal/main/r-cran-outlierso3_0.6.3-1.ca2004.1_all.deb
Size: 1647224
MD5sum: 4d4047bd20a2bb205dbd0f21d6e187e3
SHA1: 05d6eb62b6325317dc28076d505a093a23f6b692
SHA256: 82af90b6385f11b7a41a0f609870b9ce53d31b9a73bd9b998f9f17e794951c63
SHA512: 9fe36d4ea4bc593213ad14ef674b276dbc4e07b60d1058b3cea628038b11353e01dd97dbeb50933a9bae5e63b0aadd7d67932f4205ad02af64e56cc45ce0bfaa
Homepage: https://cran.r-project.org/package=OutliersO3
Description: CRAN Package 'OutliersO3' (Draws Overview of Outliers (O3) Plots)
 Potential outliers are identified for all combinations of a dataset's
 variables. O3 plots are described in Unwin(2019)
 <doi:10.1080/10618600.2019.1575226>. The available methods are HDoutliers()
 from the package 'HDoutliers', FastPCS() from the package 'FastPCS',
 mvBACON() from 'robustX', adjOutlyingness() from 'robustbase',
 DectectDeviatingCells() from 'cellWise', covMcd() from 'robustbase'.

Package: r-cran-outqrf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ranger, r-cran-dplyr, r-cran-missranger, r-cran-ggpubr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-renv, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-outqrf_1.0.0-1.ca2004.1_all.deb
Size: 242264
MD5sum: a8c0d5633a030fc2ce9ce57a418bab6a
SHA1: 3b7f62f2a687d5720780ed73c6280fe76efe6d35
SHA256: 2a55b12f91ad9dd4541b5fea1a4d39aee21e7389d4956b410c43c9f8f386c2c6
SHA512: 165f7259b3854c8424942e95b9128a7402f503ca4fde1c44b6280b399e2d485ec4ae72a8b0cc3afae2ea0b1858eaad9e7f81f3d0e73a067357efc8d59d4cd21b
Homepage: https://cran.r-project.org/package=outqrf
Description: CRAN Package 'outqrf' (Find the Outlier by Quantile Random Forests)
 Provides a method to find the outlier in custom data by quantile random
 forests method. Introduced by Meinshausen Nicolai (2006)
 <https://dl.acm.org/doi/10.5555/1248547.1248582>. It directly calls the
 ranger() function of the 'ranger' package to perform data fitting and
 prediction. We also implement the evaluation of outlier prediction results.
 Compared with random forest detection of outliers, this method has higher
 accuracy and stability on large datasets.

Package: r-cran-outrankingtools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-outrankingtools_1.0-1.ca2004.1_all.deb
Size: 114524
MD5sum: b1fa812620cb12d6960b6e33e2fe1585
SHA1: 2a19231190de4d24baf07e09256e1be886d83449
SHA256: 31117ebbe8866efb63077f414a1bc3a5811fc7be60387da01f9705e7774be317
SHA512: 8699ebfcdcf756b65220571775ea2925c6f07230be75fc585f193b08c963f3379b19065ddd41cd9b6315f89c1bbe92a6992f32ab8ebd8b05feb7f43a1e0b6dc5
Homepage: https://cran.r-project.org/package=OutrankingTools
Description: CRAN Package 'OutrankingTools' (Functions for Solving Multiple-criteria Decision-making Problems)
 Functions to process ''outranking'' ELECTRE methods existing in the
 literature. See, e.g., <http://en.wikipedia.org/wiki/ELECTRE> about the
 outranking approach and the foundations of ELECTRE methods.

Package: r-cran-outreg
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-reshape2, r-cran-sandwich, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-aer, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-outreg_0.2.2-1.ca2004.1_all.deb
Size: 48788
MD5sum: d7c1393d40e8c4bf88bc178b494168f7
SHA1: ebfa8a6db221b0354010f5e1affc9b62350f6da9
SHA256: e2f344640904ec49274b091e8b20fa4bc60ffede32a17e014c2fc6aeb40b2f8a
SHA512: 9d3f68c99c416f1d2a324569f9db939da917eea2aaf0eaf84fc88f62ee10b529f94c0c3a68ae16b1f6a733a42015d3baa1b96f95efa4df3f93a14a7476d6a4c6
Homepage: https://cran.r-project.org/package=outreg
Description: CRAN Package 'outreg' (Regression Table for Publication)
 Create regression tables for publication.  Currently supports 'lm', 'glm',
 'survreg', and 'ivreg' outputs.

Package: r-cran-outseekr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future.apply, r-cran-gamlss, r-cran-gamlss.dist, r-cran-lsa, r-cran-truncnorm
Suggests: r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-outseekr_1.0.0-1.ca2004.1_all.deb
Size: 291092
MD5sum: cbe5734893db320ba0a7505940f4055a
SHA1: 8ddc4121fbe81f7e18a51edce63f719c9803fde6
SHA256: d4dd1026a5bc6fbe29f019642bc96f4d16b23654f44ec3bb450b1ed1105db9a6
SHA512: f3452be4b5ae5d12f237d5b7a68d57524b1d9d74a68af4cc59a98bb5f93c83733efe7c27923dd348811d2990883a4ba144aba57eb913f753b6ca5cece21c498c
Homepage: https://cran.r-project.org/package=OutSeekR
Description: CRAN Package 'OutSeekR' (Statistical Approach to Outlier Detection in RNA-Seq and RelatedData)
 An approach to outlier detection in RNA-seq and related data based on five
 statistics. 'OutSeekR' implements an outlier test by comparing the
 distributions of these statistics in observed data with those of simulated
 null data.

Package: r-cran-outsider.base
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-devtools, r-cran-pkgload, r-cran-sys, r-cran-yaml, r-cran-callr, r-cran-tibble, r-cran-cli
Suggests: r-cran-ssh, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-outsider.base_0.1.4-1.ca2004.1_all.deb
Size: 116904
MD5sum: 2a4818642ddc4af0717ce3f54b2a6ea9
SHA1: db630d85ce5b341b49e0f06f2625fbee6c2f16aa
SHA256: c909c36ab4e51f0d43646efd0eee7b0d489569277d24cc86dec18aff1c5aebec
SHA512: e6792842a3f98fb2d70ef8e25063885dfb5f75b53d5da7d66f828dc32f00d51b1a2562b504d529b6aadfd8eb559e7db3cea69c6e82e2bfae264aa6e7a87046f3
Homepage: https://cran.r-project.org/package=outsider.base
Description: CRAN Package 'outsider.base' (Base Package for 'Outsider')
 Base package for 'outsider' <https://github.com/ropensci/outsider>.  The
 'outsider' package and its sister packages enable the installation and
 running of external, command-line software within R. This base package is a
 key dependency of the user-facing 'outsider' package as it provides the
 utilities for interfacing between 'Docker' <https://www.docker.com> and R.
 It is intended that end-users of 'outsider' do not directly work with this
 base package.

Package: r-cran-outsider
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-outsider.base, r-cran-remotes, r-cran-crayon, r-cran-jsonlite, r-cran-tibble, r-cran-curl, r-cran-yaml
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ape, r-cran-rlang, r-cran-ssh
Filename: pool/dists/focal/main/r-cran-outsider_0.1.1-1.ca2004.1_all.deb
Size: 94364
MD5sum: 656703dbdab085f1600703ba33628a22
SHA1: bb23e22fbcc49e45e05377c861191d45c37e0b16
SHA256: af9e8c0a474dfc770489c5817ee64452a32b53a68b5a87087c374e6f9c1cd58e
SHA512: a9ad543a216af383626926fead42f5aec60a4d42f7ff743a18afa45de673cefa8578863c41aeb9ea349d2e2733804f9e71c6bab1b4450fa4b31e65c561196216
Homepage: https://cran.r-project.org/package=outsider
Description: CRAN Package 'outsider' (Install and Run Programs, Outside of R, Inside of R)
 Install and run external command-line programs in R through use of 'Docker'
 <https://www.docker.com/> and online repositories.

Package: r-cran-ouwie
Architecture: all
Version: 2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1174
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-corpcor, r-cran-nloptr, r-cran-geiger, r-cran-rcolorbrewer, r-cran-igraph, r-cran-numderiv, r-cran-phytools, r-cran-paleotree, r-cran-phangorn, r-cran-lhs, r-cran-interp, r-cran-phylolm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ouwie_2.10-1.ca2004.1_all.deb
Size: 1067036
MD5sum: 9c13047dd5809e15d204abcac5af3dc7
SHA1: 9b5c5fe8c9fbbf79e3826fac3f9278958ac814fc
SHA256: 60e59c0b40c51689c9f92b3719606fa104f81c7f6fe4486476b6c3bfe43a2f48
SHA512: 212c055ce0bc19ec0fe9583741aba5efffeec98ef62781a5e1d4726547e5336480f65d54de5d4e9233654b7d2046bc81a94829f16f62f6e8e5327892b740e0c0
Homepage: https://cran.r-project.org/package=OUwie
Description: CRAN Package 'OUwie' (Analysis of Evolutionary Rates in an OU Framework)
 Estimates rates for continuous character evolution under Brownian motion and
 a new set of Ornstein-Uhlenbeck based Hansen models that allow both the
 strength of the pull and stochastic motion to vary across selective regimes.
 Beaulieu et al (2012).

Package: r-cran-ovbsa
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-lmtest, r-cran-tidyr
Suggests: r-cran-sensemakr
Filename: pool/dists/focal/main/r-cran-ovbsa_2.0.0-1.ca2004.1_all.deb
Size: 71440
MD5sum: 3b54e5cda3fed412ebf2f29f208dbdc3
SHA1: 8f97eb25ae4acfc51c28622958d21d1d9e3e2b89
SHA256: 83d0fd03db383547867518129bbe9dd77ea03082360929ae2e5dcb0fc2a66dd7
SHA512: 9a04e4c158bee7a7cb108193ab167b36cd0b257d0fa5ce29fa63d1e21dd33042d02493c8283c78b6d06e16cd60e10975dadb49edf589f196b60a909fb1978723
Homepage: https://cran.r-project.org/package=ovbsa
Description: CRAN Package 'ovbsa' (Sensitivity Analysis of Omitted Variable Bias)
 Conduct sensitivity analysis of omitted variable bias in linear econometric
 models using the methodology presented in Basu (2025)
 <doi:10.2139/ssrn.4704246>.

Package: r-cran-overdisp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-overdisp_0.1.2-1.ca2004.1_all.deb
Size: 16636
MD5sum: c0beb6f2d12f0260139b654f6bb897cd
SHA1: 89b73fc23a2751ae5d3b630786ad01d581d0ea55
SHA256: ad31e5bafbd90723ce9ba8cc473fb03437b73f8a5809794e49ce39f15e336170
SHA512: 4d7610f226118396421a5edc8b50e66e4ea4ec00484809c68eeec550d52f414b7799770c9339b87fcadac5433fb6138aa567c912108ab4de70d605d1f083cfba
Homepage: https://cran.r-project.org/package=overdisp
Description: CRAN Package 'overdisp' (Overdispersion in Count Data Multiple Regression Analysis)
 Detection of overdispersion in count data for multiple regression analysis.
 Log-linear count data regression is one of the most popular techniques for
 predictive modeling where there is a non-negative discrete quantitative
 dependent variable. In order to ensure the inferences from the use of count
 data models are appropriate, researchers may choose between the estimation
 of a Poisson model and a negative binomial model, and the correct decision
 for prediction from a count data estimation is directly linked to the
 existence of overdispersion of the dependent variable, conditional to the
 explanatory variables. Based on the studies of Cameron and Trivedi (1990)
 <doi:10.1016/0304-4076(90)90014-K> and Cameron and Trivedi (2013,
 ISBN:978-1107667273), the overdisp() command is a contribution to
 researchers, providing a fast and secure solution for the detection of
 overdispersion in count data. Another advantage is that the installation of
 other packages is unnecessary, since the command runs in the basic R
 language.

Package: r-cran-overlapping
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-overlapping_2.2-1.ca2004.1_all.deb
Size: 46804
MD5sum: 94eecced1d15d0b8d05a6eed2b60636e
SHA1: 49e2883ce0c8f193a8a239ddf0fea95a411cbd6f
SHA256: 4a361932620647c8576e78b5ce419845f136fb26847464ef65ead2c21bf9ab47
SHA512: d4f384770d0399435b997bf8bd01037a8310163def90b26394161e091efb1ec651b7ea4b3925c678a8e6baea3e7b3fe7e5f36cadce73d3cf7f73a38df8be19ce
Homepage: https://cran.r-project.org/package=overlapping
Description: CRAN Package 'overlapping' (Estimation of Overlapping in Empirical Distributions)
 Functions for estimating the overlapping area of two or more kernel density
 estimations from empirical data.

Package: r-cran-overlapptest
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.geom
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-overlapptest_1.4-1.ca2004.1_all.deb
Size: 975080
MD5sum: b722f87bf74a3553f88f9f94eea0d8d9
SHA1: edfef04e249c06c612363748f2de3dd358ce9eb1
SHA256: 8b0f203212d8e1044423c9813399e0a11719f9c9674356915e893e1e82a13188
SHA512: 4cbae88ebc7e6594dc9ae3487dbe65c1ed66c203e2f88cd39bf014778e406c169e8c466867d6ec190d280996e6c19efd5bf12873d371a8a069bff9ba54062d8b
Homepage: https://cran.r-project.org/package=overlapptest
Description: CRAN Package 'overlapptest' (Test Overlapping of Polygons Against Random Rotation)
 Tests the observed overlapping polygon area in a collection of polygons
 against a null model of random rotation, as explained in De la Cruz et al.
 (2017) <doi:10.13140/RG.2.2.12825.72801>.

Package: r-cran-overture
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigmemory
Suggests: r-cran-testthat, r-cran-mockery, r-cran-covr
Filename: pool/dists/focal/main/r-cran-overture_0.4-0-1.ca2004.1_all.deb
Size: 53012
MD5sum: 30bae26c6b885ebbba87acfab01cc775
SHA1: 3e945f978592d52d21ef53f497f4840ec0b270a8
SHA256: b244e11c6738aa3bf31b1bf9e60a126aaeb36be43602f4207e41071c2a994e35
SHA512: 169a7345ad65d019e2fda428dbc20cf9cfa01cf4b29217b68e2d67bc781ba016f04e3b0f45e7b0772ef0f8966b0ab949ab19b8653c321273164fc670a412a169
Homepage: https://cran.r-project.org/package=overture
Description: CRAN Package 'overture' (Tools for Writing MCMC)
 Simplifies MCMC setup by automatically looping through sampling functions
 and saving the results.  Reduces the memory footprint of running MCMC and
 saves samples to disk as the chain runs.  Allows samples from the chain to
 be analyzed while the MCMC is still running.  Provides functions for
 commonly performed operations such as calculating Metropolis acceptance
 ratios and creating adaptive Metropolis samplers.  References: Roberts and
 Rosenthal (2009) <doi:10.1198/jcgs.2009.06134>.

Package: r-cran-overturemapsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-overturemapsr_0.1.0-1.ca2004.1_all.deb
Size: 23160
MD5sum: a822a7ba17af7718b6137b828fc52f87
SHA1: 64e6764ae89b69c132f6119c5b8b0b845941799a
SHA256: 354cb39a671bca6c1bfd513615cc72d4fca8c61cea0393201f5d6b330b3d92a6
SHA512: 0b284a6882b0367fe7c4cc08378fef686b504d06f4d6803ebc6892baf9346ff1caef987755b4a19da4b92cfc49cba35b1987655929321e8187fe05935c0854b0
Homepage: https://cran.r-project.org/package=overturemapsr
Description: CRAN Package 'overturemapsr' (Download Overture Maps Data in R)
 Overture Maps offers free and open geospatial map data sourced from various
 providers and standardized to a common schema. This tool allows you to
 download Overture Maps data for a specific region of interest and convert it
 to several different file formats. For more information, visit
 <https://overturemaps.org/download/>.

Package: r-cran-overturer
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-duckdb, r-cran-glue, r-cran-rlang, r-cran-sf
Suggests: r-cran-bench, r-cran-duckdbfs, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-overturer_0.2.5-1.ca2004.1_all.deb
Size: 342216
MD5sum: c0d11ae26d0703b888f51568129a3f43
SHA1: 555da33e10453581eb1e6c489dbe381cf0bce7f8
SHA256: 45c19286d42463452da2f57370ad91f489ae13ff90d2e4914fae253aa7fab246
SHA512: 7831803b974c3751e06755b3d767e47740f88a7e4b944a6b46196c27651434dcf147fd82ce318a2a9178f3c783929d51756c831ecdac6db7df7f934ffd4dc7c1
Homepage: https://cran.r-project.org/package=overtureR
Description: CRAN Package 'overtureR' (Load 'Overture' Datasets as 'dbplyr' and 'sf'-Ready Data Frames)
 An integrated R interface to the 'Overture' API
 (<https://docs.overturemaps.org/>). Allows R users to return 'Overture' data
 as 'dbplyr' data frames or materialized 'sf' spatial data frames.

Package: r-cran-overviewr
Architecture: all
Version: 0.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3451
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggvenn, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-countrycode, r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-magrittr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-overviewr_0.0.13-1.ca2004.1_all.deb
Size: 2480580
MD5sum: f100d1655cafe0b2e1bf255ef7f772af
SHA1: 28ddbe8d2d165799d7351d88324727cd910218ee
SHA256: 4388d723a663e235a71b1d640c5eec5c9fed59d0cd402243c018944640e9ba96
SHA512: 8c99de41a6398468db464c389b1ee8ccdfc9c0eb95d30716f354b082753f293f84a39aa52082a36ceb254cf150092be9bbfe41960778c89dd487c9ea1646e978
Homepage: https://cran.r-project.org/package=overviewR
Description: CRAN Package 'overviewR' (Easily Extracting Information About Your Data)
 Makes it easy to display descriptive information on a data set.  Getting an
 easy overview of a data set by displaying and visualizing sample information
 in different tables (e.g., time and scope conditions).  The package also
 provides publishable 'LaTeX' code to present the sample information.

Package: r-cran-ovl.ci
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ks
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ovl.ci_0.1.0-1.ca2004.1_all.deb
Size: 111280
MD5sum: c08d16e3c08bd7c9bd6d87f9561f7518
SHA1: e96b72e869958a6834807aaec3561d4f567e736f
SHA256: ada431d58ed5c08971f2b7faa309f177ccb061d58173a4775157b0834be089c1
SHA512: 09b4aff4cc9648f72c3d997a7e9ef4a233f16e0df4f4b9ebd007666b5d117d5b756cf00a5c3e651838329f858fc88388f4834956986ae6fdd0ca94992ba20d21
Homepage: https://cran.r-project.org/package=OVL.CI
Description: CRAN Package 'OVL.CI' (Inference on the Overlap Coefficient: The Binormal Approach andAlternatives)
 Provides functions to construct confidence intervals for the Overlap
 Coefficient (OVL). OVL measures the similarity between two distributions
 through the overlapping area of their distribution functions. Given its
 intuitive description and ease of visual representation by the
 straightforward depiction of the amount of overlap between the two
 corresponding histograms based on samples of measurements from each one of
 the two distributions, the development of accurate methods for confidence
 interval construction can be useful for applied researchers. Implements
 methods based on the work of Franco-Pereira, A.M., Nakas, C.T., Reiser, B.,
 and Pardo, M.C. (2021) <doi:10.1177/09622802211046386>.

Package: r-cran-ovtool
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2001
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-twang, r-cran-amelia, r-cran-envstats, r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-magrittr, r-cran-metr, r-cran-purrr, r-cran-progress, r-cran-rlang, r-cran-survey, r-cran-tibble, r-cran-tidyselect, r-cran-varhandle
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ovtool_1.0.3-1.ca2004.1_all.deb
Size: 1596540
MD5sum: 5e18ac776d7cc134d9c83379de999eb6
SHA1: a1bdc5e770e35866fc1583e312cb4238e7a2f145
SHA256: 912d028588c34879cc62f84ac16bdd3f1fabc8c08bceaee1b2ecb64f1181309a
SHA512: d6b8e99714be8a2ceb17d7a30c70524fca5f2c51a56e8a0a5ac07c3c71089ffad80e867dab24c09cb414bf0f0b3930128eaaa7d74d19d812fb1be4624116114f
Homepage: https://cran.r-project.org/package=OVtool
Description: CRAN Package 'OVtool' (Omitted Variable Tool)
 This tool was designed to assess the sensitivity of research findings to
 omitted variables when estimating causal effects using propensity score (PS)
 weighting. This tool produces graphics and summary results that will enable
 a researcher to quantify the impact an omitted variable would have on their
 results. Burgette et al. (2021) describe the methodology behind the primary
 function in this package, ov_sim. The method is demonstrated in Griffin et
 al. (2020) <doi:10.1016/j.jsat.2020.108075>.

Package: r-cran-owd
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-owd_1.0.6-1.ca2004.1_all.deb
Size: 12408
MD5sum: 6fece36cf0a61ee63fff169385ea53d3
SHA1: 4f87f3dc682ec7426b73efd1ca36db7123896213
SHA256: 9f333c9c7f865c0a9392531968e60b63a77a51e2d78962266634e475b44944ed
SHA512: 71f2adc5742270a54271e0612369586cf0f5e7df3d297e893b5c57f18be1e0a3aaa58e4da974cfb6a5096c3e3ecb6e079b3ef15fdb5d39c8ed804a00b6e64eda
Homepage: https://cran.r-project.org/package=owd
Description: CRAN Package 'owd' (Open Working Directory)
 Open the current working directory (or a given directory path) in your
 computer's file manager.

Package: r-cran-owdbr
Architecture: all
Version: 1.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-data.table, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-owdbr_1.0.1.1-1.ca2004.1_all.deb
Size: 32644
MD5sum: 9b5ee5028dfc8ec3ed040486adadc09e
SHA1: dc1aaf4678fa6506418751459a533d84507e00f1
SHA256: 98041b9f21a8ba22c0ec2a476ed089681160be4278e99afd37d59d36999ac9bf
SHA512: b259d040f1446cf692bdc512be3feee70977bd6ab2ab61fb3b35025217e3b12003938d33d38f8fbba2ac0233d5ced6a75e35cab1be133e1f046112be21544c51
Homepage: https://cran.r-project.org/package=owdbr
Description: CRAN Package 'owdbr' (Open Welfare Data Brazil)
 Tools for collecting municipal-level data
 <http://www.transparencia.gov.br/swagger-ui.html> from several Brazilian
 governmental social programs.

Package: r-cran-owea
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 859
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gtools, r-cran-mass, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-owea_0.1.2-1.ca2004.1_all.deb
Size: 283556
MD5sum: 7d3a1f55badbaab930db51c65f146b5b
SHA1: 948b7322cbc1a06b18b2b3523b3920fd748ef198
SHA256: 491dc792ccde31350c9ec095f27d7035c8f27f8e1ee32cb35705b062bce3e858
SHA512: 8d8d2f3008c5ecd45a90837971fd54979e630fcc387c0bd79c198f7a09caaf832f9cf0f565167c498fc19d63374aff818e81a3eef2a20d058cd64d363ec47cf1
Homepage: https://cran.r-project.org/package=OWEA
Description: CRAN Package 'OWEA' (Optimal Weight Exchange Algorithm for Optimal Designs for ThreeModels)
 An implementation of optimal weight exchange algorithm Yang(2013)
 <doi:10.1080/01621459.2013.806268> for three models.  They are Crossover
 model with subject dropout, crossover model with proportional first order
 residual effects and interference model. You can use it to find either A-opt
 or D-opt approximate designs. Exact designs can be automatically rounded
 from approximate designs and relative efficiency is provided as well.

Package: r-cran-owidapi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-tibble, r-cran-rlang
Suggests: r-cran-curl, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-owidapi_0.1.1-1.ca2004.1_all.deb
Size: 40852
MD5sum: 00581d01914cc6e4f11dd3ac5f58f46d
SHA1: de706030e85382a8d8b8c663a7a65d1a5993482a
SHA256: 177960958dcb3bf039e1827f0f7a4e4615d0cd644fb6dbcb3a60402419f154fe
SHA512: e5dfabe48cdc6cb684926bccb2615a01057b62e14e46300ef68c79914f918f75995d1909cbcbafd737b22ace90aea8010e587549a8a6c2d1da20e20a633b493f
Homepage: https://cran.r-project.org/package=owidapi
Description: CRAN Package 'owidapi' (Access the Our World in Data Chart API)
 Retrieve data from the Our World in Data (OWID) Chart API
 <https://docs.owid.io/projects/etl/api/>. OWID provides public access to
 more than 5,000 charts focusing on global problems such as poverty, disease,
 hunger, climate change, war, existential risks, and inequality.

Package: r-cran-owidr
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-rvest, r-cran-jsonlite, r-cran-httr, r-cran-xml2, r-cran-purrr, r-cran-curl, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-owidr_1.4.2-1.ca2004.1_all.deb
Size: 247260
MD5sum: b37349f5344cd1aa35c7f832d1c70fcd
SHA1: bdd68bbc4be96646420044b8f949a0b3629769cf
SHA256: da87d4286fe76e1bcd2c7c24f66b213cc8e4234b78b46f56b89d3e9cd626ad8f
SHA512: 867976669be51ef56f7e4a1dcd6f5daa0fd415f4f3c462705ff815c6356d56fd77d5372c1f5acaaca97ebbee68e9ae76eac8286c1b9e1cda74028443d3c5f05d
Homepage: https://cran.r-project.org/package=owidR
Description: CRAN Package 'owidR' (Import Data from Our World in Data)
 Import data from 'Our World in Data', an organisation which publishes
 research and data on global economic and social issues.

Package: r-cran-owmr
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-jsonlite, r-cran-plyr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-leaflet, r-cran-whisker, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-owmr_0.8.2-1.ca2004.1_all.deb
Size: 1455080
MD5sum: 55ea97ce56995ec961b726eca3292894
SHA1: 006ec6cd8d5f9d4815bde774de8e18e349bb5108
SHA256: 2e5fad57679408f03740450e89eb903ed49097c67a2beeccdb3c1c325b094a32
SHA512: a1a65defa75d7df4bd5cae13cee90841f207654135661908edf62c74886201183595df4b360fe53f8e9b314b257001cb85808297b1f4cbcb90d64d39265f6fa7
Homepage: https://cran.r-project.org/package=owmr
Description: CRAN Package 'owmr' (OpenWeatherMap API Wrapper)
 Accesses OpenWeatherMap's (owm) <https://openweathermap.org/> API.  'owm'
 itself is a service providing weather data in the past, in the future and
 now.  Furthermore, 'owm' serves weather map layers usable in frameworks like
 'leaflet'.  In order to access the API, you need to sign up for an API key.
 There are free and paid plans.  Beside functions for fetching weather data
 from 'owm', 'owmr' supplies tools to tidy up fetched data (for fast and
 simple access) and to show it on leaflet maps.

Package: r-cran-ows4r
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3825
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-openssl, r-cran-keyring, r-cran-xml, r-cran-geometa, r-cran-sf, r-cran-terra, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-ows4r_0.5-1.ca2004.1_all.deb
Size: 2375580
MD5sum: a19508c4fdae0d0c73e835bc6fd6fd10
SHA1: ef352961a185e2d01b1de26ab7905bc826f16fe2
SHA256: 3e9b084b058f0fe7a17e677d6a4dd8a8a6a2280111fe0c0643fc728609b86ddf
SHA512: 6f59b58394dc524533e569fce61e941bc97ae2401683c498f37a9699d2275355d41a64de6561e7d95effe20c7b44558cbbdb2a1690aeabae5f00a630d72b51ec
Homepage: https://cran.r-project.org/package=ows4R
Description: CRAN Package 'ows4R' (Interface to OGC Web-Services (OWS))
 Provides an Interface to Web-Services defined as standards by the Open
 Geospatial Consortium (OGC), including Web Feature Service (WFS) for vector
 data, Web Coverage Service (WCS), Catalogue Service (CSW) for ISO/OGC
 metadata, Web Processing Service (WPS) for data processes, and associated
 standards such as the common web-service specification (OWS) and OGC Filter
 Encoding. Partial support is provided for the Web Map Service (WMS). The
 purpose is to add support for additional OGC service standards such as Web
 Coverage Processing Service (WCPS), the Sensor Observation Service (SOS), or
 even new standard services emerging such OGC API or SensorThings.

Package: r-cran-ox
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-checkmate, r-cran-dplyr, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ox_0.1.0-1.ca2004.1_all.deb
Size: 77196
MD5sum: c90fac450b1e8370b25711d9ba456b1e
SHA1: 033890141f9bf0a232dbc7a73e48558775fd6b82
SHA256: a4d101c3bda9125a903528d8e8c55ec3f1d81d3dbb1b4460f86b524669c1ac01
SHA512: 4bc5a2a0f8466697f48a51379a5a911fa8e3f6921707d31f91fd8d9056ceb2ec0f5a9e5598f82472990a8432cf7264554aefb2cc39f2f27a26ff36dc08bc5c3c
Homepage: https://cran.r-project.org/package=ox
Description: CRAN Package 'ox' (Shorthand if-Else)
 Short hand if-else function to easily switch the values depending on a
 logical condition.

Package: r-cran-oxcaar
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-stringr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggridges
Filename: pool/dists/focal/main/r-cran-oxcaar_1.1.1-1.ca2004.1_all.deb
Size: 321324
MD5sum: 128fd90c934747c1dbc3b612873a4d9d
SHA1: 5a028d733b30ff07d2e8d6eb6a8c2f935ee2be23
SHA256: 446462c748d83cd313e45cc2ca29ee3349bbaeab985b0c3aa6d499e334eb5b82
SHA512: 62d033ef5a9b2a40317bd77064a16f8c8ba340c7d5744a2ed24372b4d7f27a904629cc70dbcc5899d5ee7aa78e9ba1d7867a4445a95639269b7456d5a2ef083d
Homepage: https://cran.r-project.org/package=oxcAAR
Description: CRAN Package 'oxcAAR' (Interface to 'OxCal' Radiocarbon Calibration)
 A set of tools that enables using 'OxCal' from within R. 'OxCal'
 (<https://c14.arch.ox.ac.uk/oxcal.html>) is a standard archaeological tool
 intended to provide 14C calibration and analysis of archaeological and
 environmental chronological information. 'OxcAAR' allows simple calibration
 with 'Oxcal' and plotting of the results as well as the execution of
 sophisticated ('OxCal') code and the import of the results of bulk analysis
 and complex Bayesian sequential calibration.

Package: r-cran-oxsr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1682
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspec, r-cran-dplyr, r-cran-ggplot2, r-cran-janitor, r-cran-munsellinterpol, r-cran-rlang
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oxsr_1.0.1-1.ca2004.1_all.deb
Size: 1369072
MD5sum: 8407cd13da871cc9b6a135f5e5ae1246
SHA1: a868aef21f127b7fe5879b41fa37624c8a6adbca
SHA256: 2bb4c37ff84f9d84c25b79670f18fcb0172b28171b4f6a03150f691c9c0e8932
SHA512: f314cb3f0cc03859e686d91186b1d3f5b3c2759028ab471ca039909c8e3f9e9784dacc36f916d6a9048e361e3151f4ec128820142a0fbdaa12b871dc00f89882
Homepage: https://cran.r-project.org/package=OxSR
Description: CRAN Package 'OxSR' (Soil Iron Oxides via Diffuse Reflectance)
 Calculate the ratio of iron oxides, hematite and goethite, in soil using the
 diffuse reflectance technique. The Kubelka-Munk theory, second derivative
 analysis, and spectral region amplitudes related to hematite and goethite
 content are used for quantification (Torrent, J., & Barron, V. (2008)
 <doi:10.2136/sssabookser5.5.c13>).  Additionally, the package calculates
 soil color in the visible spectrum using Munsell and RGB color spaces, based
 on color theory (Viscarra et al. (2006)
 <doi:10.1016/j.geoderma.2005.07.017>).

Package: r-cran-oxybs
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oxybs_1.5-1.ca2004.1_all.deb
Size: 50700
MD5sum: a4fa9677d61e6d85a264166958b1f136
SHA1: 895d6b3edf6000fe6bc371cd53d628441849863b
SHA256: 693b6eff201980adf453d48ada1b2058c8cb57166c958bbd147b3b8a69a84de7
SHA512: d4f8c45d9e18d36dd084fc5aafb5e8b12de6563d2eec938f7c72279627b05a649d8c15c85619bb63b57949e873d10b78a3a93c77f07fa89a82f464050deebcd6
Homepage: https://cran.r-project.org/package=OxyBS
Description: CRAN Package 'OxyBS' (Processing of Oxy-Bisulfite Microarray Data)
 Provides utilities for processing of Oxy-Bisulfite microarray data (e.g. via
 the Illumina Infinium platform, <http://www.illumina.com>) with tandem
 arrays, one using conventional bisulfite conversion, the other using
 oxy-bisulfite conversion.

Package: r-cran-oyster
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rjson, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-covr, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-oyster_0.1.1-1.ca2004.1_all.deb
Size: 150756
MD5sum: c256dc1f11b332a214172a1bde4fb76c
SHA1: d4881236dc326ad8e1cf3efb3b9820c83298346e
SHA256: 8736ec775ed1a1ddcc573f5f2b136982521a2210c33fd744e59005a5638162be
SHA512: ec7235084dc256ddbebaf6a7784952269b4f542df3021929f04fb40f481555b8bbc12d0c6bea41d0fa2b6fc28abca3d429fcac34506afff37326e2f751f2b82c
Homepage: https://cran.r-project.org/package=oysteR
Description: CRAN Package 'oysteR' (Scans R Projects for Vulnerable Third Party Dependencies)
 Collects a list of your third party R packages, and scans them with the
 'OSS' Index provided by 'Sonatype', reporting back on any vulnerabilities
 that are found in the third party packages you use.

Package: r-cran-oz
Architecture: all
Version: 1.0-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-oz_1.0-22-1.ca2004.1_all.deb
Size: 36280
MD5sum: d9e677e73d757df8b03543c2b0bcccd6
SHA1: e49819215be69c4ed1b17249205a552fcf1fa6b8
SHA256: 42fe5ceb6ce73ec538a1c119fcb94e6ef983dc7f6ac9ebcfe63e2d014a0357d4
SHA512: 02dd1109fb39337abec3130cd63ba07a7a515cce1afa9cf944a919a12101891f0ccb351a191c585230658172724eb5564432271cdc68ca552ad9a3fb109b24c8
Homepage: https://cran.r-project.org/package=oz
Description: CRAN Package 'oz' (Plot the Australian Coastline and States)
 Functions for plotting Australia's coastline and state boundaries.

Package: r-cran-ozbabynames
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1296
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ozbabynames_0.2.0-1.ca2004.1_all.deb
Size: 1255980
MD5sum: 5bb0c23686de74ffe234425048c830a5
SHA1: 90ac5eefb5f27d518880776a8474ff1653c2d394
SHA256: b9f865a13963da5dd508b91c09c879a405aef3254f869864262729ab71211a68
SHA512: 086468ba45e024dd70af49f7b75f3d08af33ffc9724f5e9c154fe230799e2e252712c82aa1ebfeb1b8bff74279eaee3b067695b09a4c4711cd7ed7656d9ba0d5
Homepage: https://cran.r-project.org/package=ozbabynames
Description: CRAN Package 'ozbabynames' (Australian Popular Baby Names)
 Data on the most popular baby names by sex and year, and for each state in
 Australia, as provided by the state and territory governments. The quality
 and quantity of the data varies with the state.

Package: r-cran-ozmaps
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4229
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-oz, r-cran-tibble, r-cran-sf
Suggests: r-cran-paletteer, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ozmaps_0.4.5-1.ca2004.1_all.deb
Size: 3955692
MD5sum: b1628258a1b26275623e3b94e814f566
SHA1: 4b17878c1c82aff3b21554c0df6786e79daa74a9
SHA256: e9d80aadc7d425fa3f65e937d99e2d313e8eff106c50a9fdb2820e7ee86917ac
SHA512: fd03418ef8305eb60731a403cf45d5d10dc13e3a3863397796d5557559c6b570491d6c71f63032f97e4aeacc8fb81eaba517a951451b5ba51cd2fb7533543be9
Homepage: https://cran.r-project.org/package=ozmaps
Description: CRAN Package 'ozmaps' (Australia Maps)
 Maps of Australian coastline and administrative regions. Data can be drawn
 or accessed directly as simple features objects. Includes simple functions
 for country or state maps of Australia and in-built data sets of
 administrative regions from the Australian Bureau of Statistics
 <https://www.abs.gov.au/>. Layers include electoral divisions and local
 government areas, simplified from the original sources but with sufficient
 detail to allow mapping of a local municipality.

Package: r-cran-p2distance
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-p2distance_1.0.1-1.ca2004.1_all.deb
Size: 37228
MD5sum: ae6cd986be0e6597c6505f370027c419
SHA1: 24f032c92e1211d3b0deb5b7cb203a9df37184c3
SHA256: 59ca04167b04481677520e61847fa83a6a08137a5bc827bd81608665be715ffb
SHA512: b4fee5851a3c76cb31b87e12ff32842105a7cfb11e458fcebed54ee680965a8ae5d37b31eacc07ce3a260359b4dc4821396c9a1237e3a5ecbc6e934aa872f373
Homepage: https://cran.r-project.org/package=p2distance
Description: CRAN Package 'p2distance' (Welfare's Synthetic Indicator)
 The welfare's synthetic indicator provides an ideal tool for measuring
 multi-dimensional concepts such as welfare, development, living standards,
 etc. It enables information from the various indicators to be aggregated
 into a single synthetic measure.

Package: r-cran-p3state.msm
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-p3state.msm_1.3.2-1.ca2004.1_all.deb
Size: 75940
MD5sum: b2316a396cebd5273cbb48dd0492d6f9
SHA1: f2a0aae7a99d43e1e93dd2697061981b41f6b396
SHA256: 99561b8d29a03c13a4b27dd453077a587be706378612492cf1d2ca9f2e7c4128
SHA512: a8909c9f77f2e559175f5850e9c5547761d1e6f0c32e112148e78e8d0f88609a1d98f8aab6b228801c427c20d32b39e810dff7313fbfd53c9fb63da2d8049de8
Homepage: https://cran.r-project.org/package=p3state.msm
Description: CRAN Package 'p3state.msm' (Analyzing Survival Data from an Illness-Death Model)
 Contains functions for data preparation, prediction of transition
 probabilities, estimating semi-parametric regression models and for
 implementing nonparametric estimators for other quantities. See
 Meira-Machado and Roca-Pardiñas (2011) <doi:10.18637/jss.v038.i03>.

Package: r-cran-pa
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3231
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pa_1.2-4-1.ca2004.1_all.deb
Size: 3156164
MD5sum: d81da02052de81f10e38ac60b889f902
SHA1: 4b0ff2bd68745064e34fcab519e1020f8ad08224
SHA256: 8b2639697feec5482facfb18a949d13566f2464efe4e8a5298374f4bf2bef0dd
SHA512: 3fee7bf22008154cd104f16b82883aa2174469c1121d70ffa81966a12e9538e7cf69133459326ed55da870b03a53e77ce6c8be11a8f899331df37399b15d9488
Homepage: https://cran.r-project.org/package=pa
Description: CRAN Package 'pa' (Performance Attribution for Equity Portfolios)
 It provides tools for conducting performance attribution for equity
 portfolios. The package uses two methods: the Brinson method and a
 regression-based analysis.

Package: r-cran-paar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-e1071, r-cran-gstat, r-cran-sf, r-cran-spdep
Suggests: r-cran-testthat, r-cran-concaveman, r-cran-units, r-cran-spatialpack, r-cran-stars, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-paar_1.0.1-1.ca2004.1_all.deb
Size: 664992
MD5sum: 41f703a50134c4cc118de831ae344be3
SHA1: 2cf5ba40511dd3ecf6b2f263a8ba274b6ed2fa03
SHA256: 2324917e4f7b00f2d76e0505ae61e2ad3edddfd861afe729a38e4b8cd14b8105
SHA512: bfde7be27cdd2c9d5619538cf4de1f1b84c7de4c2443f1763cab068e127f6be91d324bc4d22ece98216af945310b9be7448e1d408fac6f7160c9c1b478d5990f
Homepage: https://cran.r-project.org/package=paar
Description: CRAN Package 'paar' (Precision Agriculture Data Analysis)
 Precision agriculture spatial data depuration and homogeneous zones
 (management zone) delineation.  The package includes functions that performs
 protocols for data cleaning management zone delineation and zone comparison;
 protocols are described in Paccioretti et al., (2020)
 <doi:10.1016/j.compag.2020.105556>.

Package: r-cran-pabonlasso
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pabonlasso_1.0-1.ca2004.1_all.deb
Size: 25420
MD5sum: 84ef66ad20bc220976f857edddd3693a
SHA1: 772d7a641c3f168d49280d20800c2570141c3e09
SHA256: e4e6ed444ea951aa5717f2cfbadf6062adb50d828d5306341a866a2d66eaa5b9
SHA512: 695d73dbc926f7979998834942866324d5ddbaec54834d233edf0e8c3a65718f1fa03fcb59dda7342d2c54153fe64246a7eb28f99d4a81b500b91b524e21e57e
Homepage: https://cran.r-project.org/package=PabonLasso
Description: CRAN Package 'PabonLasso' (Pabon Lasso Graphs and Comparing Situations of a Unit in TwoDifferent Times)
 Pabon Lasso is a graphical method for monitoring the efficiency of different
 wards of a hospital or different hospitals.Pabon Lasso graph is divided into
 4 parts which are created after drawing the average of BTR and BOR. The part
 in the left-down side is Zone I, left-up side is Zone II, Right-up side part
 is Zone III and the last part is Zone IV.

Package: r-cran-pacbpred
Architecture: all
Version: 0.92.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pacbpred_0.92.2-1.ca2004.1_all.deb
Size: 35832
MD5sum: 4520355931e27fd9c5e68979518fe898
SHA1: 4a6ff27c45e7f322ecd30c22ceb615a1c69abc39
SHA256: 97e9bb26e6aa05fb75cb6811e6bbfae3b791c77e6b1b6f124e3d787117293c08
SHA512: 0ea01d48f91aaf83ac67d101e1e37382bbcbd0d403f62361a87e6bcb549022379f63702504786bb2ea7dcf88d7b1f6a8c8489f7acee8c8aed6311ff27f43e446
Homepage: https://cran.r-project.org/package=pacbpred
Description: CRAN Package 'pacbpred' (PAC-Bayesian Estimation and Prediction in Sparse AdditiveModels)
 This package is intended to perform estimation and prediction in
 high-dimensional additive models, using a sparse PAC-Bayesian point of view
 and a MCMC algorithm. The method is fully described in Guedj and Alquier
 (2013), 'PAC-Bayesian Estimation and Prediction in Sparse Additive Models',
 Electronic Journal of Statistics, 7, 264--291.

Package: r-cran-pack
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-pack_0.1-2-1.ca2004.1_all.deb
Size: 27276
MD5sum: 307c980a222bb18982761fbe3311d0f6
SHA1: 1e518f1cca22032a584e70c69ef59c131f8f2130
SHA256: 72d3ee5fa4cf51c9755478e81c3d703c285f019b790f4b7d3175c9900053a82b
SHA512: df78f3f242d9825231245bbd2d99f28ea55aed2631657ed4af1d43211c0530e11f8b6d2a9fd9189529f9ea9f9ddfb0c8167528523472721a2dd189843b9f8248
Homepage: https://cran.r-project.org/package=pack
Description: CRAN Package 'pack' (Convert Values to/from Raw Vectors)
 Functions to easily convert data to binary formats other programs/machines
 can understand.

Package: r-cran-packagediff
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diffr, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-packagediff_0.1-1.ca2004.1_all.deb
Size: 238344
MD5sum: 9bd67b9651c9ea23abf4d0d2cabb8459
SHA1: 38647ec06647b3f8821163eea4be8d857ae18672
SHA256: d5dc122ae69f2c994bb1863a514815e179c391529543ba4e988541aadb1ae731
SHA512: a4293e05b5edb99c16e667d0a86224336af11d52eac61a50109d8968ac9e2fd681c44d0264152c32e1b075c3bd57075e1a9c34ad9f0008fd8228b925ff4da357
Homepage: https://cran.r-project.org/package=packageDiff
Description: CRAN Package 'packageDiff' (Compare R Package Differences)
 It provides utility functions for investigating changes within R packages.
 The pkgInfo() function extracts package information such as exported and
 non-exported functions as well as their arguments. The pkgDiff() function
 compares this information for two versions of a package and creates a diff
 file viewable in a browser.

Package: r-cran-packagefinder
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-pander, r-cran-formattable, r-cran-stringr, r-cran-crayon, r-cran-lubridate, r-cran-tidyr, r-cran-textutils, r-cran-htmltable, r-cran-clipr, r-cran-shiny, r-cran-reactable, r-cran-shinyjs, r-cran-shinybusy
Filename: pool/dists/focal/main/r-cran-packagefinder_0.3.5-1.ca2004.1_all.deb
Size: 522504
MD5sum: fb2ca0ad17d3dec5ab4a0caeb09676d7
SHA1: 9bba1f7030dba8ce6c9882ebacb4b9f43e2f5b71
SHA256: d30ae9cf8a98b28f2e04e4a89aa85bfea457ff58866ee8c563ecaa59baa66d40
SHA512: ea60959d6c87475bc89e5d8daf22e0a3a0ea1be32d149fa0f54099bd27a59b865d9c3d798697d1602d9370e5edab5951af631e8a6fbb62fb7e17a042cc800eaf
Homepage: https://cran.r-project.org/package=packagefinder
Description: CRAN Package 'packagefinder' (Comfortable Search for R Packages on CRAN, Either Directly fromthe R Console or with an R Studio Add-in)
 Search for R packages on CRAN directly from the R console, based on the
 packages' titles, short and long descriptions, or other fields. Combine
 multiple keywords with logical operators ('and', 'or'), view detailed
 information on any package and keep track of the latest package
 contributions to CRAN. If you don't want to search from the R console, use
 the comfortable R Studio add-in.

Package: r-cran-packagepal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-available, r-cran-cli, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-packagepal_0.1.0-1.ca2004.1_all.deb
Size: 14928
MD5sum: 3eba1314f145ac34848dafe516ea5165
SHA1: 10d6041f40d8ac3a18561a9045d34bd0bcd2a029
SHA256: 02d21cd6580020b55429e942e9ba583d8a9a3c432c78ffaa9731cd204770d269
SHA512: 266348bc8f2a8d2ee46cdc0f445db116df41fc762ecddb4202f82c2e30cec025a4d94f3b554e09802c4f2d6a98ea7cd3aace96d9557204860b5ec8b5f81a50d5
Homepage: https://cran.r-project.org/package=packagepal
Description: CRAN Package 'packagepal' (Guidelines and Checklists for Building CRAN-Worthy Packages)
 Provides essential checklists for R package developers, whether you're
 creating your first package or beginning a new project. This tool guides you
 through each step of the development process, including specific
 considerations for submitting your package to the Comprehensive R Archive
 Network (CRAN). Simplify your workflow and ensure adherence to best
 practices with 'packagepal'.

Package: r-cran-packager
Architecture: all
Version: 1.15.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-callr, r-cran-checkmate, r-cran-codetools, r-cran-crayon, r-cran-cyclocomp, r-cran-desc, r-cran-fakemake, r-cran-fritools, r-cran-fs, r-cran-gert, r-cran-httr, r-cran-pkgbuild, r-cran-pkgload, r-cran-rcmdcheck, r-cran-remotes, r-cran-rhub, r-cran-rprojroot, r-cran-tinytest, r-cran-whisker, r-cran-whoami
Suggests: r-cran-cleanr, r-cran-covr, r-cran-devtools, r-cran-digest, r-cran-document, r-cran-knitr, r-cran-lintr, r-cran-rasciidoc, r-cran-rmarkdown, r-cran-roxygen2, r-cran-runit, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-packager_1.15.3-1.ca2004.1_all.deb
Size: 325924
MD5sum: bb088c93a0742ee72c3352d7cc3c3a36
SHA1: aea376f60b54ef30134112574995ea5a2b771759
SHA256: dc5634e8778f7a5bb6e29b39296ef1c965e14f11abe081d0b52361c473da32fe
SHA512: d52fc4268a4fea2b00dc2386cb36eaea432585c8d27aa0962cfb4cf0aa13607752ce83f81cac6400459b6788691ceb0e9ac9a4b8657d9a66277aebf5d51851d0
Homepage: https://cran.r-project.org/package=packager
Description: CRAN Package 'packager' (Create, Build and Maintain Packages)
 Helper functions for package creation, building and maintenance. Designed to
 work with a build system such as 'GNU make' or package 'fakemake' to help
 you to conditionally work through the stages of package development (such as
 spell checking, linting, testing, before building and checking a package).

Package: r-cran-packagerank
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3630
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cranlogs, r-cran-curl, r-cran-data.table, r-cran-fasttime, r-cran-ggplot2, r-cran-isocodes, r-cran-memoise, r-cran-pkgsearch, r-cran-r.utils, r-cran-rcurl, r-cran-rlang, r-cran-rversions, r-cran-sugrrants
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-packagerank_0.9.6-1.ca2004.1_all.deb
Size: 3399008
MD5sum: 5500e24f84e71ec4e3c9cebf1be73bb9
SHA1: d26587ccb7d50fa08cf0959b194479d744c8e893
SHA256: a4a0fd45dfdf0b70b9f09d27060931fd45f5ec0e5b381bb6ebe23e94a5ab916d
SHA512: 1f69e10472daa311d350c54070557b261a0d12e921c5385fadc9b09fb40cd404699940f63b296acbd61f630bcab9bf8bf9fd2bac6cd0233dd4ad9eabfb937908
Homepage: https://cran.r-project.org/package=packageRank
Description: CRAN Package 'packageRank' (Computation and Visualization of Package Download Counts andPercentile Ranks)
 Compute and visualize package download counts and percentile ranks from
 Posit/RStudio's CRAN mirror.

Package: r-cran-packagetrackr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rappdirs, r-cran-httr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-packagetrackr_0.1.1-1.ca2004.1_all.deb
Size: 18368
MD5sum: a72219fa0743b800ee8feb928cba9b50
SHA1: d63fdedcb2b7962ab9693deb5ff7edd40285eb8b
SHA256: 2d92dce5926baee3165fed231ce4ab207b4221b24fa7e9eafc2be22ff2eed196
SHA512: 3493f08db76d3cb118785d07685c410c977cd11f62fff83629cdbcb503705c6c8ab5c1e867e764d00b0004faa2aafe4ad7e1ebea4999f2e278963fadc8a3729f
Homepage: https://cran.r-project.org/package=packagetrackr
Description: CRAN Package 'packagetrackr' (Track R Package Downloads from RStudio's CRAN Mirror)
 Allows to get and cache R package download log files from RStudio's CRAN
 mirror for analyzing package usage.

Package: r-cran-packdamipd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5632
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-stringr, r-cran-data.table, r-cran-reshape2, r-cran-rlang, r-cran-lme4, r-cran-survminer, r-cran-survregcenscov, r-cran-survival, r-cran-mass, r-cran-systemfit, r-cran-ipdfilecheck, r-cran-valueeq5d, r-cran-car, r-cran-ggplot2, r-cran-lmtest, r-cran-broom, r-cran-effects, r-cran-gvlma, r-cran-relaimpo, r-cran-dplyr, r-cran-tidyr, r-cran-hash, r-cran-haven, r-cran-flextable, r-cran-ggpubr, r-cran-labelled, r-cran-purrr, r-cran-islr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-packdamipd_1.1.0-1.ca2004.1_all.deb
Size: 2699292
MD5sum: 7e7734bf3e272a2bdcb68b636a73e9f6
SHA1: 3cfe8b61d46f99bd3db5251a449e8a8256dc9d7b
SHA256: 3e715cd8b2ea593cd50331b15af3dc5871323aa357f84ef6f6624aa55ef268fa
SHA512: 589ebe5030d62f8a263f8aea5316deb93b2ec17f8cab4fa19eb5486e0383fda9e19c400cef95c33685ff0e43c85feb25de626c2d9907f74bbd2110e1d64da4a0
Homepage: https://cran.r-project.org/package=packDAMipd
Description: CRAN Package 'packDAMipd' (Decision Analysis Modelling Package with Parameters EstimationAbility from Individual Patient Level Data)
 A collection of functions to construct Markov model for model-based
 cost-effectiveness analysis. This includes creating Markov model (both time
 homogenous and time dependent models), decision analysis, sensitivity
 analysis (deterministic and probabilistic). The package allows estimation of
 parameters for the Markov model from a given individual patient level data,
 provided the data file follows some standard data entry rules.

Package: r-cran-packer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fs, r-cran-cli, r-cran-usethis, r-cran-jsonlite, r-cran-roxygen2, r-cran-rprojroot, r-cran-rstudioapi, r-cran-assertthat, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-covr, r-cran-golem
Filename: pool/dists/focal/main/r-cran-packer_0.1.3-1.ca2004.1_all.deb
Size: 229376
MD5sum: be38ae9f89acc4c05e083d6f506ad20d
SHA1: bf6acc9d351f212a55c50e1a1c31f5dd4a297136
SHA256: 2c4abe9727b4646fc551bb4abbdf4a7b1d5265c65d7b6319a91440646fa78307
SHA512: 17c4a65e02da0c7d0dae2a2a3af6f90f255f574127e6f0e5d8683be141cd5267a01f185ece9d880b032a1be094603a80998fee13308458f09f83d685c61418fe
Homepage: https://cran.r-project.org/package=packer
Description: CRAN Package 'packer' (An Opinionated Framework for Using 'JavaScript')
 Enforces good practice and provides convenience functions to make work with
 'JavaScript' not just easier but also scalable. It is a robust wrapper to
 'NPM', 'yarn', and 'webpack' that enables to compartmentalize 'JavaScript'
 code, leverage 'NPM' and 'yarn' packages, include 'TypeScript', 'React', or
 'Vue' in web applications, and much more.

Package: r-cran-packetllm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future, r-cran-httr, r-cran-pdftools, r-cran-promises, r-cran-readtext, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-packetllm_0.1.0-1.ca2004.1_all.deb
Size: 173656
MD5sum: af22251d589982a4640b54356995aa01
SHA1: eeee61b7da153fa904a381856d8385f8d3092b0b
SHA256: 486f5b45ce74f9b48e01076c01248e63c43ad28715cf651d09da7e59e78521f6
SHA512: 3ba13d783480e0d6dc70cef2d018a9f1370a8202c0378c442fffe0290e3a6b5cb29746099967815770250c9fb41e485e0fd104999636e6847456ba9f643c3649
Homepage: https://cran.r-project.org/package=PacketLLM
Description: CRAN Package 'PacketLLM' (Interactive 'OpenAI' Model Integration in 'RStudio')
 Offers an interactive 'RStudio' gadget interface for communicating with
 'OpenAI' large language models (e.g., 'gpt-4o', 'gpt-4o-mini', 'gpt-4.1',
 'o1', 'o3-mini') (<https://platform.openai.com/docs/api-reference>).
 Enables users to conduct multiple chat conversations simultaneously in
 separate tabs. Supports uploading local files (R, PDF, DOCX) to provide
 context for the models. Allows per-conversation configuration of model
 parameters such as temperature and system messages (where supported by the
 model). API interactions via the 'httr' package are performed asynchronously
 using 'promises' and 'future' to avoid blocking the R console. Useful for
 tasks like code generation, text summarization, and document analysis
 directly within the 'RStudio' environment.  Requires an 'OpenAI' API key set
 as an environment variable.

Package: r-cran-packhv
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-writexls
Filename: pool/dists/focal/main/r-cran-packhv_2.4-1.ca2004.1_all.deb
Size: 85908
MD5sum: c777a07001c923e014e4119da9b792ff
SHA1: a96458e53178cb1269d6c382001a7fb773bc2e4c
SHA256: 495ebcc554ec8317212fbea4b16bf69cd2d09268eef90293e5c62559f33cc154
SHA512: 0e4958dfaf00c4af709fbc2369e36b2a3160bc1c103cb2f5e77e9321da512a5fc606760ff2f3cdacbd6d878f8e3976509962ca4b77a62c4e068dd0dfdcf03305
Homepage: https://cran.r-project.org/package=packHV
Description: CRAN Package 'packHV' (A few Useful Functions for Statisticians)
 Various useful functions for statisticians: describe data, plot Kaplan-Meier
 curves with numbers of subjects at risk, compare data sets, display
 spaghetti-plot, build multi-contingency tables...

Package: r-cran-packmbplsda
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ade4, r-cran-proc, r-cran-mass, r-cran-doparallel, r-cran-foreach, r-cran-factominer
Filename: pool/dists/focal/main/r-cran-packmbplsda_0.9.0-1.ca2004.1_all.deb
Size: 339236
MD5sum: 714217e3b530e8a897282f844ee11066
SHA1: b51748e9e2c8c040e410ccc19932178ebf04f5d6
SHA256: 00c9c62f1b8c814a8d6f423220a5347ea5f06e95d8ede00d45161afb81bef1c5
SHA512: 6422a10bba6bdddab852a7ea4fd280d2a94f24fc81a41f60982885f2b8f4f1fe1804d3e881046c6cb325a2d6817d22b01f025d9aa9df8dd2f1d0acfc05717475
Homepage: https://cran.r-project.org/package=packMBPLSDA
Description: CRAN Package 'packMBPLSDA' (Multi-Block Partial Least Squares Discriminant Analysis)
 Several functions are provided to implement a MBPLSDA : components search,
 optimal model components number search, optimal model validity test by
 permutation tests, observed values evaluation of optimal model parameters
 and predicted categories, bootstrap values evaluation of optimal model
 parameters and predicted cross-validated categories. The use of this package
 is described in Brandolini-Bunlon et al (2019. Multi-block PLS discriminant
 analysis for the joint analysis of metabolomic and epidemiological data.
 Metabolomics, 15(10):134).

Package: r-cran-packrat
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1396
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-httr, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-webfakes, r-cran-withr
Filename: pool/dists/focal/main/r-cran-packrat_0.9.3-1.ca2004.1_all.deb
Size: 665760
MD5sum: d5225a4fb6bdeeb78721036728e3d99c
SHA1: a622bc603e8aee5c2481beb80ce1d64d0372750e
SHA256: 2cac2fb06c9d4dbcc233f8f3c2b61dadd6b4b2a18d4dc53f1fb0f11a214c52d8
SHA512: d456faee25d12b450c04ac8d5f0becc64a6fdcb59baa4dc0cee41623e253316bdd0f3fd7666ca6c8c939c20ee62995c37b80f71eb48796071c6942d0d950450f
Homepage: https://cran.r-project.org/package=packrat
Description: CRAN Package 'packrat' (A Dependency Management System for Projects and their R PackageDependencies)
 Manage the R packages your project depends on in an isolated, portable, and
 reproducible way.

Package: r-cran-paclasso
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-penalized, r-cran-mass, r-cran-lars, r-cran-quadprog, r-cran-limsolve
Filename: pool/dists/focal/main/r-cran-paclasso_1.0.0-1.ca2004.1_all.deb
Size: 76304
MD5sum: 27bbde64c7f305c58d47da76121afad1
SHA1: 8a686204bcb09bf00344dadc861d20f9b9fb3707
SHA256: e89f4255402c4f9f0ab2d94871e281c5458fdfd2f39309fc4117551a89f9482f
SHA512: 5c7c01cdde1a06a6150bba528b8296c9d2931095bd9755a495004b34b20e8b25cb8436b9cba4c3554e2ff55992aaa1d918efea5ebefd0652dbecfc4e35431244
Homepage: https://cran.r-project.org/package=PACLasso
Description: CRAN Package 'PACLasso' (Penalized and Constrained Lasso Optimization)
 An implementation of both the equality and inequality constrained lasso
 functions for the algorithm described in "Penalized and Constrained
 Optimization" by James, Paulson, and Rusmevichientong (Journal of the
 American Statistical Association, 2019; see
 <http://www-bcf.usc.edu/~gareth/research/PAC.pdf> for a full-text version of
 the paper).  The algorithm here is designed to allow users to define linear
 constraints (either equality or inequality constraints) and use a penalized
 regression approach to solve the constrained problem. The functions here are
 used specifically for constraints with the lasso formulation, but the method
 described in the PaC paper can be used for a variety of scenarios. In
 addition to the simple examples included here with the corresponding
 functions, complete code to entirely reproduce the results of the paper is
 available online through the Journal of the American Statistical
 Association.

Package: r-cran-pacman
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 898
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-remotes
Suggests: r-cran-biocmanager, r-cran-knitr, r-cran-lattice, r-cran-testthat, r-cran-xml
Filename: pool/dists/focal/main/r-cran-pacman_0.5.1-1.ca2004.1_all.deb
Size: 334408
MD5sum: 9c7bb25d9fa943f14ecd2354c9f0096b
SHA1: 108ccf414372c5eafcbecb780e3a96f36bb2a156
SHA256: 18e61dfdffb9d633ca5fd456a3d98901bd365fe342ded7beb7b8f850421f5baf
SHA512: f0135dbcd7f9ecdf0e6408ce93ee332d15146cd9fb165d63740ee0e961302b4b7be8a6921d81f2239f5e541341b2ee9ca3e230ebc4fd2ce7fbf878d68c9176ec
Homepage: https://cran.r-project.org/package=pacman
Description: CRAN Package 'pacman' (Package Management Tool)
 Tools to more conveniently perform tasks associated with add-on packages.
 pacman conveniently wraps library and package related functions and names
 them in an intuitive and consistent fashion.  It seeks to combine
 functionality from lower level functions which can speed up workflow.

Package: r-cran-paco
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-ape, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paco_0.4.2-1.ca2004.1_all.deb
Size: 43832
MD5sum: 95660ddb436f01ad10156db4691d2b30
SHA1: 8bc1063b3944a54c1b96783acd66284b004aa2e3
SHA256: 0fd9aaa3bc4d24030eeb0839af19f242f51eb95067354c91630b2524134cf47f
SHA512: 22431e8db4628b53bc628e6f08b17c80a3974005a1dab53a8b9b69a685fd7bf9d356382b959308c42dee62c3f4843f13f504865f39f7f03dbeb81e3e9ffee7a3
Homepage: https://cran.r-project.org/package=paco
Description: CRAN Package 'paco' (Procrustes Application to Cophylogenetic Analysis)
 Procrustes analyses to infer co-phylogenetic matching between pairs of
 phylogenetic trees.

Package: r-cran-pacs
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-memoise, r-cran-jsonlite, r-cran-xml2, r-cran-stringi
Suggests: r-cran-remotes, r-cran-renv, r-cran-withr, r-cran-pkgsearch, r-cran-mockery, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pacs_0.6.0-1.ca2004.1_all.deb
Size: 1007900
MD5sum: 25be222c19fa542123953cd1375a92fd
SHA1: 878c76a8407966bf28cbcebcd7d6c60dc0657f5c
SHA256: 371bfaed4b855f4a2c95ac20962f3cd839d2211715f2edc9a748816568566e67
SHA512: 79364e2ae1fc0f4b8ed322e21ba676a7650050123d04e2f77e90c03cf690c9b60feb4d9993d4fd95cf120c2fc64c14f72b5e19f9da448d8a5f03361b0b8b3c61
Homepage: https://cran.r-project.org/package=pacs
Description: CRAN Package 'pacs' (Supplementary Tools for R Packages Developers)
 Supplementary utils for CRAN maintainers and R packages developers.
 Validating the library, packages and lock files.  Exploring a complexity of
 a specific package like evaluating its size in bytes with all dependencies.
 The shiny app complexity could be explored too.  Assessing the life duration
 of a specific package version.  Checking a CRAN package check page status
 for any errors and warnings.  Retrieving a DESCRIPTION or NAMESPACE file for
 any package version.  Comparing DESCRIPTION or NAMESPACE files between
 different package versions.  Getting a list of all releases for a specific
 package.  The Bioconductor is partly supported.

Package: r-cran-pacta.loanbook
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3138
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggrepel, r-cran-magrittr, r-cran-purrr, r-cran-r2dii.analysis, r-cran-r2dii.data, r-cran-r2dii.match, r-cran-r2dii.plot, r-cran-rlang, r-cran-rstudioapi, r-cran-scales, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-diagrammer, r-cran-ggplot2, r-cran-gt, r-cran-knitr, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-tidyr, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-pacta.loanbook_0.1.1-1.ca2004.1_all.deb
Size: 650488
MD5sum: 356edaf9dd2f98f47a350c32e11c0498
SHA1: 47c504b3e822e699c552b8a6bc3199e71123c6ea
SHA256: 26819dfa34b73f56ce871705bd1eba1c6d2e215dc90e29249d278106fbbe5e85
SHA512: bd81836c8c2468b0511117cb6b618680e13195851b11226ccad6dd62dfcad9809282b23ca6c18eac8f043bc05c2ebee432ec4545b86f97d7dd12715298c2a62d
Homepage: https://cran.r-project.org/package=pacta.loanbook
Description: CRAN Package 'pacta.loanbook' (Easily Install and Load PACTA for Banks Packages)
 PACTA (Paris Agreement Capital Transition Assessment) for Banks is a tool
 that allows banks to calculate the climate alignment of their corporate
 lending portfolios. This package is designed to make it easy to install and
 load multiple PACTA for Banks packages in a single step. It also provides
 thorough documentation - the PACTA for Banks cookbook at
 <https://rmi-pacta.github.io/pacta.loanbook/articles/cookbook_overview.html>
 - on how to run a PACTA for Banks analysis. This covers prerequisites for
 the analysis, the separate steps of running the analysis, the interpretation
 of PACTA for Banks results, and advanced use cases.

Package: r-cran-pacta.multi.loanbook
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4074
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-config, r-cran-dplyr, r-cran-ggalluvial, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-r2dii.analysis, r-cran-r2dii.data, r-cran-r2dii.match, r-cran-r2dii.plot, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-scales, r-cran-tidyr, r-cran-yaml, r-cran-yesno
Suggests: r-cran-diagrammer, r-cran-gt, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-usethis, r-cran-testthat, r-cran-tibble, r-cran-withr, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-pacta.multi.loanbook_0.1.1-1.ca2004.1_all.deb
Size: 1968072
MD5sum: 6ef58324c5a93210c48d78716c35416f
SHA1: 7beae6b5d57066bcfaa6c693be895f2e5270ed20
SHA256: 63e8bb1f053ec06d1f028f788e538b83d84a8405d960518c89d82485382527d7
SHA512: a1c50c3d07cd038cb926624e266b81dc9c426ee44f9749ca41319a6d163b8468ce3ce3eccc449719ba5f355ddaf67713102ee8fabd0f2a94dc1225cb29244611
Homepage: https://cran.r-project.org/package=pacta.multi.loanbook
Description: CRAN Package 'pacta.multi.loanbook' (Run 'PACTA' on Multiple Loan Books Easily)
 Run Paris Agreement Capital Transition Assessment ('PACTA') analyses on
 multiple loan books in a structured way. Provides access to standard 'PACTA'
 metrics and additional 'PACTA'-related metrics for multiple loan books.
 Results take the form of 'csv' files and plots and are exported to
 user-specified project paths.

Package: r-cran-pacu
Architecture: all
Version: 0.1.63-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5663
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-apsimx, r-cran-gstat, r-cran-httr, r-cran-jsonlite, r-cran-sf, r-cran-stars, r-cran-units, r-cran-xml, r-cran-concaveman, r-cran-tmap
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-patchwork, r-cran-mgcv, r-cran-nasapower, r-cran-spdata, r-cran-rmarkdown, r-cran-nlraa, r-cran-car, r-cran-minpack.lm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pacu_0.1.63-1.ca2004.1_all.deb
Size: 3327376
MD5sum: 0bf95631fa7a69604f230b10999e31d6
SHA1: b47d4d17ea3e1039514ab36c3046e400a3a29c21
SHA256: cb84a4ad26e5c42827e9912ad00f1e5dcf640f7066a6181d958065977a82ff2d
SHA512: 1a7ab1cae8814b26761fcc9d0f7e846e5048c935e6dd564f5f9dce9aa634e4b6ba230d807c0ddb304912595d2d1a5789b16311385cae889d100b98bcf7b81cd4
Homepage: https://cran.r-project.org/package=pacu
Description: CRAN Package 'pacu' (Precision Agriculture Computational Utilities)
 Support for a variety of commonly used precision agriculture operations.
 Includes functions to download and process raw satellite images from
 Sentinel-2 <https://documentation.dataspace.copernicus.eu/APIs/OData.html>.
 Includes functions that download vegetation index statistics for a given
 period of time, without the need to download the raw images
 <https://documentation.dataspace.copernicus.eu/APIs/SentinelHub/Statistical.html>.
 There are also functions to download and visualize weather data in a
 historical context. Lastly, the package also contains functions to process
 yield monitor data. These functions can build polygons around recorded data
 points, evaluate the overlap between polygons, clean yield data, and smooth
 yield maps.

Package: r-cran-pacviz
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-circlize, r-cran-e1071, r-cran-plotrix
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-pacviz_1.0.3-1.ca2004.1_all.deb
Size: 49736
MD5sum: c6fc8a0462b9de192fe0c70a68fc89e0
SHA1: d7c0c2952774182f14816aa557967786a579b900
SHA256: e54c6e9b29952a354220b87ad63a663cc685bb85fb42498cc2cc470b815813e3
SHA512: 96528d5c52ee9ad3ff5e10d890bd657e599f150bacb3ce84beec2bdeb6ffb6b7f61870a62c5950920e5c9b346eed5f84e13e09c587aa975352aff7a0ebef2a71
Homepage: https://cran.r-project.org/package=pacviz
Description: CRAN Package 'pacviz' (Pac-Man Visualization Package)
 Provides a broad-view perspective on data via linear mapping of data onto a
 radial coordinate system. The package contains functions to visualize the
 residual values of linear regression and Cartesian data in the defined
 radial scheme. See the 'pacviz' documentation page for more information:
 <https://pacviz.sriley.dev/>.

Package: r-cran-pacvr
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4406
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biostrings, r-cran-dplyr, r-bioc-genomicalignments, r-bioc-genomicranges, r-bioc-iranges, r-cran-logger, r-cran-read.gb, r-cran-rcircos, r-cran-tidyr, r-cran-r6
Suggests: r-cran-testthat, r-cran-rentrez
Filename: pool/dists/focal/main/r-cran-pacvr_1.0.11-1.ca2004.1_all.deb
Size: 4076720
MD5sum: e4b15ec34df7aa5b82f0dc907475868b
SHA1: 90656880b4b6fb6101747e3dc7f558c8851cc389
SHA256: 26251faf32ea7f0c54efcbada6261a2c773bac56e6bad3c4cc948ad8c5fbd8c4
SHA512: 7062b815a3c56bb97648bc44f012813dd7bc2cf233e77fb88fff850397c582b719e02597bf72a51297105824a7e274bd7128bd124b6c2dbd8d64f1141fdb6abc
Homepage: https://cran.r-project.org/package=PACVr
Description: CRAN Package 'PACVr' (Plastome Assembly Coverage Visualization)
 Visualizes the coverage depth of a complete plastid genome as well as the
 equality of its inverted repeat regions in relation to the circular,
 quadripartite genome structure and the location of individual genes. For
 more information, please see Gruenstaeudl and Jenke (2020)
 <doi:10.1186/s12859-020-3475-0>.

Package: r-cran-paddler
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paddler_0.1.2-1.ca2004.1_all.deb
Size: 330724
MD5sum: 51628e315f47eda78418e949868abc7a
SHA1: 192dcf9895472ec9890061b8362642637a66e9eb
SHA256: 03b1ce52ed525adc3c25a3b2f4d5f3c205ed193ea56ca4f84fd6eb79ca8b647e
SHA512: 75c7bae07fc2e0433325d3faffd161da3b9307bbfcfb30055223e91f4d820937914d04d8a6d414dce154a866c550c9412b4f9b7527bffb6ed795b51642de1079
Homepage: https://cran.r-project.org/package=paddleR
Description: CRAN Package 'paddleR' (Wrapper for 'Paddle' API (Application Programming Interface))
 A wrapper for 'Paddle' - The Merchant of Record for digital products API
 (Application Programming Interface)
 <https://developer.paddle.com/api-reference/overview>. Provides functions to
 manage and analyze products, customers, invoices and many more.

Package: r-cran-pade
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-pade_1.0.7-1.ca2004.1_all.deb
Size: 19448
MD5sum: 1469ca4c611ecb46d24ab0ee22b37ebe
SHA1: ad42f0a79847080bf072833c187cef0b0345e069
SHA256: 2551dfc7883b8bc3a1e67ce84fa9b292507d5f98fc2921b9d0cff882e8656453
SHA512: 95723d42753111a9e0fafb720aab8b0c89f58fbf2870212a703de129046c8777fda37a3fb16e5e3955be47c0aa2e37e490f8a7e809ff7651f9a70a6613a0d64a
Homepage: https://cran.r-project.org/package=Pade
Description: CRAN Package 'Pade' (Padé Approximant Coefficients)
 Given a vector of Taylor series coefficients of sufficient length as input,
 the function returns the numerator and denominator coefficients for the Padé
 approximant of appropriate order (Baker, 1975) <ISBN:9780120748556>.

Package: r-cran-paf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-paf_1.0-1.ca2004.1_all.deb
Size: 22112
MD5sum: 6f299bcf35ae05e5fb8c740d6d597fca
SHA1: 6a2e26aa02518de010aee63b61670020e462b5a1
SHA256: f0a1668e269d8381bd877cb4b1c707e2cf0988e5a5b821bf9257776758ef1f4a
SHA512: 39ec6ff2ea8281165c987412ec38bc8d582d0acec079cc4092245c1abd8a301e7eac26738d71c70b6d9ca65936148596611ea9d378d06ad4bc2f2412ebe9710a
Homepage: https://cran.r-project.org/package=paf
Description: CRAN Package 'paf' (Attributable Fraction Function for Censored Survival Data)
 Calculate unadjusted/adjusted attributable fraction function of a set of
 covariates for a censored survival outcome from a Cox model using the method
 proposed by Chen, Lin and Zeng (Biometrika 97, 713-726., 2010).

Package: r-cran-pafdr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 725
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-exams, r-cran-stringr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pafdr_1.0-1.ca2004.1_all.deb
Size: 577416
MD5sum: ce89851e5e813460d8af73750e6a9651
SHA1: bf655f888734d453fdbf0f63bead6eb78e3090c8
SHA256: 13da92ab42660a891e794ba7936fa7ee43fbf0f066a71ae293cca1fec0b63838
SHA512: 3e035f3d14a5e180270b05e0e924c58a01c8e3db66a2c9159e0c46f672a740bec9925b8dec5a174f654dcbb74d98bc9a85ac8bb9a0eb885999a33a65881249f5
Homepage: https://cran.r-project.org/package=pafdR
Description: CRAN Package 'pafdR' (Book Companion for Processing and Analyzing Financial Data withR)
 Provides access to material from the book "Processing and Analyzing
 Financial Data with R" by Marcelo Perlin (2017) available at
 <https://sites.google.com/view/pafdr/home>.

Package: r-cran-pafr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1491
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-ggpubr, r-cran-rmarkdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-pafr_0.0.2-1.ca2004.1_all.deb
Size: 829720
MD5sum: fa837c44f7907bceca48c6f670557961
SHA1: fff3e3b1d697d00a1fff08ddcba4c00d1de61a0e
SHA256: d43d1f5432a16acaacc3bcc4d149fa667e92d5cdaf776352f9bd6cff14d5c464
SHA512: 3a30dbc2840ebeab88791e2de976f8537a2f088f70d4dcf555f3edec542c336111030363c40f081fdbb8721328b9910d107e052558eecc328c7589822dbcb52c
Homepage: https://cran.r-project.org/package=pafr
Description: CRAN Package 'pafr' (Read, Manipulate and Visualize 'Pairwise mApping Format' Data)
 Provides functions to read, process and visualize pairwise sequence
 alignments in the 'PAF' format used by 'minimap2' and other whole-genome
 aligners.  'minimap2' is described by Li H. (2018)
 <doi:10.1093/bioinformatics/bty191>.

Package: r-cran-pagedown
Architecture: all
Version: 0.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-bookdown, r-cran-htmltools, r-cran-jsonlite, r-cran-later, r-cran-processx, r-cran-servr, r-cran-httpuv, r-cran-xfun, r-cran-websocket
Suggests: r-cran-promises, r-cran-testit, r-cran-xaringan, r-cran-pdftools, r-cran-revealjs, r-cran-covr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-pagedown_0.22-1.ca2004.1_all.deb
Size: 277960
MD5sum: fceb42ffb91914c672c0518baccef69c
SHA1: 2f67e88143b8c7ca2e54d6c7123391f9b439b0a1
SHA256: ede03bde8a153dc354f9f6441c4a48a28cfce63e8dc9b1160f4c35164a808132
SHA512: 6fbebcc3c61d480f474147e4f595005674840f2305921f85c2cfe33555583de4758001158380e32954c8b547b33f4f8e5bf6ec0e7f1916de078dd447e99e983b
Homepage: https://cran.r-project.org/package=pagedown
Description: CRAN Package 'pagedown' (Paginate the HTML Output of R Markdown with CSS for Print)
 Use the paged media properties in CSS and the JavaScript library 'paged.js'
 to split the content of an HTML document into discrete pages. Each page can
 have its page size, page numbers, margin boxes, and running headers, etc.
 Applications of this package include books, letters, reports, papers,
 business cards, resumes, and posters.

Package: r-cran-pagemap
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1335
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-shiny, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-pagemap_0.1.3-1.ca2004.1_all.deb
Size: 398732
MD5sum: 4d423f4bc879717b0254fd42d6a5a3fd
SHA1: 29805277873a6247bb0b313e142cfb696c8437b7
SHA256: 0b99142609872cc4b3ea83ecc43dc6f398e406b77035a9796f30a9b75d4c9c1f
SHA512: e4fa6dc63b44e793cb127b3bf4ca6d91bf6a29c49d2927b2b0b637d8ab74c6d89be4dcf144a6150816d5d3b8923b3846b749dbd3142881fcdc9b55f5da7b2c63
Homepage: https://cran.r-project.org/package=pagemap
Description: CRAN Package 'pagemap' (Create Mini Map for Web Pages)
 Quickly and easily add a mini map to your 'rmarkdown' html documents.

Package: r-cran-pagenum
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-lattice, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pagenum_1.3-1.ca2004.1_all.deb
Size: 56156
MD5sum: 6876f1b7d9f635e898543c816c83fb51
SHA1: 3bd98a85bdef5f5f2b3d20a1cfd2ab757f2f9d6e
SHA256: fa39fba9792cca72ad7369cb493a304fde417f528d5d4b97c572bbad539ae0b9
SHA512: f633d182be6a8a1a6fdaf97766b7926d9c7d4861699be6adfbaaecb30809b9fa395160c244a7e22bd435a37bf052bef23958d3440d6618d7cd60d161ee2dbbc6
Homepage: https://cran.r-project.org/package=pagenum
Description: CRAN Package 'pagenum' (Put Page Numbers on Graphics)
 A simple way to add page numbers to base/ggplot/lattice graphics.

Package: r-cran-pageviews
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-curl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-wikipedir, r-cran-wikidatar
Filename: pool/dists/focal/main/r-cran-pageviews_0.6.0-1.ca2004.1_all.deb
Size: 35196
MD5sum: ef36804a61dfa530807b7ebd988b745d
SHA1: 2a0b85879c7056e8134cd39f67e5ddcd75ad86ca
SHA256: 1ca7d35baaef37ecfae695d4c6d4ef2c230987f2fca22347ad77810538668247
SHA512: 9d58f63f54b81b5a372f21757a8c9b34e98fc3beec90c1b787e8c514fd37e3fb7ec6b89d02dc6c9879113039207a6e093092f8af87cb03c3750316d259a4abea
Homepage: https://cran.r-project.org/package=pageviews
Description: CRAN Package 'pageviews' (An API Client for Wikimedia Traffic Data)
 Pageview data from the 'Wikimedia' sites, such as 'Wikipedia'
 <https://www.wikipedia.org/>, from entire projects to per-article levels of
 granularity, through the new RESTful API and data source
 <https://wikimedia.org/api/rest_v1/?doc>.

Package: r-cran-pagi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5044
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-pagi_1.0-1.ca2004.1_all.deb
Size: 3089324
MD5sum: 2d26189f0e7c9704181fa0da7fdd75ac
SHA1: dbec747c279512764ecb090118b4cbd9dfd23bbc
SHA256: 524acc6baec37daff370af402457752c8bb177766fdd850da1aae42b21fc3a74
SHA512: 7c19d101837d53bd33890cf8866d520adf10148948762689d0eeb0b2970f37eb713050eba8fbf27a30b79116abe773dd9503986c95fecdd803cf2efac6d894cd
Homepage: https://cran.r-project.org/package=PAGI
Description: CRAN Package 'PAGI' (The package can identify the dysregulated KEGG pathways based onglobal influence from the internal effect of pathways andcrosstalk between pathways)
 The package can identify the dysregulated KEGG pathways based on global
 influence from the internal effect of pathways and crosstalk between
 pathways. (1) The PAGI package can prioritize the pathways associated with
 two biological states by statistical significance or FDR. (2) The PAGI
 package can evaluated the global influence factor (GIF) score in the global
 gene-gene network constructed based on the relationships of genes extracted
 from each pathway in KEGG database and the overlapped genes between
 pathways.

Package: r-cran-pagoo
Architecture: all
Version: 0.3.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4947
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-s4vectors, r-bioc-biostrings, r-cran-ggplot2, r-cran-r6, r-cran-reshape2, r-cran-vegan, r-bioc-genomicranges, r-bioc-biocgenerics, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-dt, r-cran-plotly, r-cran-magrittr, r-cran-heatmaply, r-cran-dendextend, r-cran-ggfortify, r-cran-shiny
Suggests: r-cran-micropan, r-cran-patchwork, r-cran-ape, r-cran-phangorn, r-cran-pegas, r-bioc-decipher, r-cran-rhierbaps, r-bioc-iranges, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pagoo_0.3.17-1.ca2004.1_all.deb
Size: 4352712
MD5sum: 4769b82b5814e51b3773cf146c9b4938
SHA1: 4f428201ab0faddc7edc53f3585c75a9aa84cb36
SHA256: 24d67d2356e2aa982b62f5a53ed3aca859645fa04102d1abe0f1f2fa45931d5b
SHA512: 42e92adb754e783c81a181e7fef347421f6ffa6a5879c90470fbb3cc66eb27b5e0ff7f02506cc5b2dbf4eafdb6768844c6054b65064d9fec6b41a84e79014f5b
Homepage: https://cran.r-project.org/package=pagoo
Description: CRAN Package 'pagoo' (Analyze Bacterial Pangenomes in R with 'Pagoo')
 Provides an encapsulated, object-oriented class system for analyzing
 bacterial pangenomes. For a definition of this concept, see Tettelin, et al.
 (2005) <doi:10.1073/pnas.0506758102>. It uses the R6 package as backend. It
 was designed in order to facilitate and speed-up the comparative analysis of
 multiple bacterial genomes, standardizing and optimizing routine tasks
 performed everyday. There are a handful of things done everyday when working
 with bacterial pangenomes: subset, summarize, extract, visualize and store
 data. So, 'pagoo' is intended to facilitate these tasks as much as possible.
 For a description of the implemented data structure and methods, see Ferres
 & Iraola (2020), <doi:10.1101/2020.07.29.226951>.

Package: r-cran-pagwas
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-foreach, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-pagwas_2.0-1.ca2004.1_all.deb
Size: 45456
MD5sum: 824c9a8feaefe351f85915863bb564f9
SHA1: 75ab99be2324b21ade59d6ab48b056937c1f4b11
SHA256: 9b45bfb75c13f0e19f812e070f0940ce09d2692cb90d364d9791b5e6550b034c
SHA512: 9534cf67bbf2c7925de9a61b4eca4eb6d0f77b016775dbc1378f9114eb2e6e51f45a67eb702a702bfa2fb4510cdd7b6ef6dbcfd1e9ffa177903ec57d7bb24ed4
Homepage: https://cran.r-project.org/package=PAGWAS
Description: CRAN Package 'PAGWAS' (Pathway Analysis Methods for Genomewide Association Data)
 Bayesian hierarchical methods for pathway analysis of genomewide association
 data: Normal/Bayes factors and Sparse Normal/Adaptive lasso. The Frequentist
 Fisher's product method is included as well.

Package: r-cran-paice
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paice_1.0.2-1.ca2004.1_all.deb
Size: 506176
MD5sum: 4a44e5af84acc4ab48d51101db085a17
SHA1: c83aa093d2919bfbe45bf1711b28ebc8f44f996b
SHA256: dd95d735d975c27a1a352ea17317297cf55262b6defa9b38e386fedc504e3950
SHA512: 484f754bb94126a4e481263c27ed239b25c7a087b9ed231edf8bb9f524ba1995bb409c7da1d228fa7764d1a835ea9a5f474a218450cbe5d5e40fa2c8a4af4a52
Homepage: https://cran.r-project.org/package=PAICE
Description: CRAN Package 'PAICE' (Phylogeographic Analysis of Island Colonization Events)
 Estimation of the number of colonization events between islands of the same
 archipelago for a species. It uses rarefaction curves to control for both
 field and genetic sample sizes as it was described in Coello et al. (2022)
 <doi:10.1111/jbi.14341>.

Package: r-cran-painbow
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1503
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-patchwork, r-cran-spelling, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-painbow_1.0.1-1.ca2004.1_all.deb
Size: 1456080
MD5sum: 1d5a1a97a273059ae2656074c59086f8
SHA1: 3f3e02e183d3a05e73640ef7bc4b9b926c5a92fb
SHA256: a5e6f588da7c9d4a1623e8effed51bb43373f7eff252469a434fc000938c3455
SHA512: 207161dead73e0a58f8d69c6d3e8742b21d5ba4ee53446504fe7922680128183f3c82d9de1b121479a2be1255216c4a0fc94fca658fee966c23ece0dd478f85b
Homepage: https://cran.r-project.org/package=painbow
Description: CRAN Package 'painbow' (Use XKCD's "Painbow" Colormap in ggplot2)
 XKCD described a supposedly "bad" colormap that it called a "Painbow" (see
 <https://xkcd.com/2537/>). But simple tests demonstrate that under some
 circumstances, the colormap can perform very well, and people can find
 information that is difficult to detect with the ggplot2 default and even
 supposedly "good" colormaps like viridis. This library let's you use the
 Painbow in your own ggplot graphs.

Package: r-cran-painter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-painter_0.1.0-1.ca2004.1_all.deb
Size: 33824
MD5sum: 9be51637b50f2cf3419fe1c782234324
SHA1: 998f783318b6afe22478eeeab1e5adf64903c6de
SHA256: 3ba63b3c43513d262802d94a6143af1d0f0fe7ac3090875badec12a7a76c8c13
SHA512: 5cb75e46df20e8ac6bd3e43ea37cb1056cecbf8c04fc94aa88e7c62959dd10b64f1785c16e187529cd92036bab3851095186aa959b44d54c249e83564432fea3
Homepage: https://cran.r-project.org/package=painter
Description: CRAN Package 'painter' (Creation and Manipulation of Color Palettes)
 Functions for creating color palettes, visualizing palettes, modifying
 colors, and assigning colors for plotting.

Package: r-cran-paintingr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4233
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paintingr_0.1.0-1.ca2004.1_all.deb
Size: 3992932
MD5sum: 97006f84c19cabe8b5a830f5878c1040
SHA1: 2c6a2e9c1eadba7cf696d3dd6ad4c5fc8efed4aa
SHA256: 1160ce3e4dd3d68572600de9d189cd131eb11608ecd0b3ac6d8de3f07aa78d05
SHA512: 5b260531c3ad8ef3a00ae466869399127afd0501dbf1a60568052b8d6f3d16e9ef85ae35745a14a349d97768a96ddbffe7de49129325d4957fc4ea24288edd44
Homepage: https://cran.r-project.org/package=paintingr
Description: CRAN Package 'paintingr' (Painting Palettes Generator)
 Color palettes generated from paintings.

Package: r-cran-paintmap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paintmap_1.0-1.ca2004.1_all.deb
Size: 22956
MD5sum: 734d1f464f1eba1958f61bc7af841965
SHA1: 290d63283c4dc6e71e37dffe579f12b37e32dd60
SHA256: 05f4f511539e5027e2979d25995687767d1a1d2e123ccbdaea2db9a9b480f8c7
SHA512: a8375819b2650c5bd088569c4f953ce34b10eb1476aaca03a6be9b36fd4187332bf0d9492528dd61c681265468e6ee54e09dd4cbdc01910e795dee7646b606f3
Homepage: https://cran.r-project.org/package=paintmap
Description: CRAN Package 'paintmap' (Plotting Paintmaps)
 Plots matrices of colours as grids of coloured squares - aka heatmaps,
 guaranteeing legible row and column names, without transformation of values,
 without re-ordering rows or columns, and without dendrograms.

Package: r-cran-paireddata
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gld, r-cran-mvtnorm, r-cran-lattice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-paireddata_1.1.1-1.ca2004.1_all.deb
Size: 233848
MD5sum: ba2d1c578a7b98e91de3937e16e1d016
SHA1: c7d2bc33752762de40bea6e51c18df323e20d39b
SHA256: 2c9c4c295d2ba5c01f930da7853af336448730406a6b3a280a4c28924142a7ea
SHA512: bb7c3d87c8c6135a5fe0b5a7da4e10275654fa52c7e15b13131c3a1fa2411e7ea3f3ed01ca8df4bfbd8e9fa31b29bc62e94d56441d75df846c8e2406bdcd3792
Homepage: https://cran.r-project.org/package=PairedData
Description: CRAN Package 'PairedData' (Paired Data Analysis)
 Many datasets and a set of graphics (based on ggplot2), statistics, effect
 sizes and hypothesis tests are provided for analysing paired data with S4
 class.

Package: r-cran-pairsd3
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-shiny
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pairsd3_0.1.3-1.ca2004.1_all.deb
Size: 82160
MD5sum: 3ede5842bf2faf8b9c7d6c6b2f77f7d9
SHA1: 5eeecfb8be470ea640f26d3113419e9e15c65866
SHA256: 68513b30a72f3deb2c4237a8aea056fec43b30e26d1c907ad9689dbd821637e2
SHA512: 2654d4b12a0ebf840bd669d0d88bd0aa358ddf0aeda731b925f3ec7682180698db0a30ab85bc02e6d77e353f98e87122a4c416d2c1973b5c670504b566804576
Homepage: https://cran.r-project.org/package=pairsD3
Description: CRAN Package 'pairsD3' (D3 Scatterplot Matrices)
 Creates an interactive scatterplot matrix using the D3 JavaScript library.
 See <https://d3js.org/> for more information on D3.

Package: r-cran-pairviz
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3189
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tsp, r-cran-gtools, r-bioc-graph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sleuth3, r-cran-colorspace, r-cran-multcomp, r-cran-igraph, r-cran-scales, r-cran-rcolorbrewer, r-cran-alr4, r-cran-scagnostics
Filename: pool/dists/focal/main/r-cran-pairviz_1.3.6-1.ca2004.1_all.deb
Size: 2218624
MD5sum: d400e9ab0dfcfecb85c9a419e5e0a5b7
SHA1: f007b073c973050102fd2f947964fd0ff3242b06
SHA256: 51b5294cd7499c60d85f5c5639ad4c557454e1a0241092eb8689eafa71891c6c
SHA512: e1107a9c862d14e475961c7263618c86c06d4944b89321ede102dc46f0c482cbb0c88285578c7570ae94bab94774d0c689bd2a1ef7af077ce853710bc41da606
Homepage: https://cran.r-project.org/package=PairViz
Description: CRAN Package 'PairViz' (Visualization using Graph Traversal)
 Improving graphics by ameliorating order effects, using Eulerian tours and
 Hamiltonian decompositions of graphs. References for the methods presented
 here are C.B. Hurley and R.W. Oldford (2010) <doi:10.1198/jcgs.2010.09136>
 and C.B. Hurley and R.W. Oldford (2011) <doi:10.1007/s00180-011-0229-5>.

Package: r-cran-pairwise
Architecture: all
Version: 0.6.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1498
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-psych
Filename: pool/dists/focal/main/r-cran-pairwise_0.6.1-0-1.ca2004.1_all.deb
Size: 1456272
MD5sum: 75335f341767a13d5977fd2eee8a51c0
SHA1: c9bcf5a206dd916f2fe9c5b70b66f79b05a15bfd
SHA256: db319190b7ee67f93bdfab16d139eeecfd5d0bf6ac4c613a77b61a6f2ed6794a
SHA512: f2013c6588e7362426b26bb12665b3f7378e8356b84b48e690f8d0dcad84b3948f978f68c0952af70a9a1b4fef1c220b75fd9eef18ad6bfe3635160707c5798f
Homepage: https://cran.r-project.org/package=pairwise
Description: CRAN Package 'pairwise' (Rasch Model Parameters by Pairwise Algorithm)
 Performs the explicit calculation -- not estimation! -- of the Rasch item
 parameters for dichotomous and polytomous item responses, using a pairwise
 comparison approach. Person parameters (WLE) are calculated according to
 Warm's weighted likelihood approach.

Package: r-cran-pairwiseci
Architecture: all
Version: 0.1-27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcpan, r-cran-boot, r-cran-mass, r-cran-mcprofile
Filename: pool/dists/focal/main/r-cran-pairwiseci_0.1-27-1.ca2004.1_all.deb
Size: 310028
MD5sum: 7f9775bfe3ea47e7c107e93ed0af3cf5
SHA1: 80a49555ac69a578150c8baae8bec4e2184f08a9
SHA256: 65477a5580adb55d69c5b84f30cea79e492ed3368d59a7d38102ddcc30fa911f
SHA512: ada3d04c4f61d2e60a25ac10481b3d6431249da547ba849ca42c98739fec340c866ce66512f269779739614ca682ea9ef56d7b2dc56ffd2b501bb615078b7660
Homepage: https://cran.r-project.org/package=pairwiseCI
Description: CRAN Package 'pairwiseCI' (Confidence Intervals for Two Sample Comparisons)
 Calculation of the parametric, nonparametric confidence intervals for the
 difference or ratio of location parameters, nonparametric confidence
 interval for the Behrens-Fisher problem and for the difference, ratio and
 odds-ratio of binomial proportions for comparison of independent samples.
 Common wrapper functions to split data sets and apply confidence intervals
 or tests to these subsets.  A by-statement allows calculation of CI
 separately for the levels of further factors.  CI are not adjusted for
 multiplicity.

Package: r-cran-paknacc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 760
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-collapse, r-cran-dt, r-cran-htmltools, r-cran-magrittr, r-cran-rpivottable, r-cran-shiny, r-cran-shinydashboard, r-cran-shinydashboardplus
Suggests: r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paknacc_0.3.0-1.ca2004.1_all.deb
Size: 352008
MD5sum: 0d8b02e16b43e642c5d98d36ad21e8fe
SHA1: b7cd4b85595fdf254434c0b41a8c14c32acfd003
SHA256: df67d99e4e9fd9a52b999c1fdc87a5cffaab5ef370c914db9303d6a56855e78d
SHA512: 8bc4e2655e8ddd1583a42a5e0ec6240bf84830ecc732c2c96aee815994c21e9b37e5826c73bed38173c37cb11e842f14927ed5c1ec7832ebaee9305e027339f3
Homepage: https://cran.r-project.org/package=PakNAcc
Description: CRAN Package 'PakNAcc' ('shiny' App for National Accounts)
 Provides a comprehensive suite of tools for analyzing Pakistan's Quarterly
 National Accounts data. Users can gain detailed insights into Pakistan's
 economic performance, visualize quarterly trends, and detect patterns and
 anomalies in key economic indicators. Compare sector contributions—including
 agriculture, industry, and services—to understand their influence on
 economic growth or decline. Customize analyses by filtering and manipulating
 data to focus on specific areas of interest. Ideal for policymakers,
 researchers, and analysts aiming to make informed, data-driven decisions
 based on timely and detailed economic insights.

Package: r-cran-pakpc2017
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1744
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pakpc2017_1.0.0-1.ca2004.1_all.deb
Size: 1535512
MD5sum: 7deec0b45d4501d786f52e9b4b165651
SHA1: 0a3a6f22db4c5e1622d9ac0a91f59cbb9c98dfca
SHA256: 26efbd1b240680645bcf3f105904ce501f371122d67af19fcc2ba8a511445aa4
SHA512: 1897b6ac6ca25783feec9f8094314c8c092a69efb741d1627a190e3cb26372ba542dfae8678bec36942d3952a8e78536870b827353483bac7a0476c8d8da5647
Homepage: https://cran.r-project.org/package=PakPC2017
Description: CRAN Package 'PakPC2017' (Pakistan Population Census 2017)
 Provides data sets and functions for exploration of Pakistan Population
 Census 2017 (<http://www.pbscensus.gov.pk/>).

Package: r-cran-pakpc2023
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3718
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pakpc2023_0.2.0-1.ca2004.1_all.deb
Size: 3745920
MD5sum: 8779c2fa6840b9f0332a3c347beed610
SHA1: 6b5cb35b22e69a41b9372b5b2126061e2790c111
SHA256: e3bd9bbbc7c56de53e5e605cece4f9f0d0dfd44558d54f7e4557e6bb7fc242d3
SHA512: d34baf6db0b5a5b6ef7afb97b9226d97e2fca0f60b80ab0ef94557e16647409e236c552333e504d14779e4c6ae587ec237ea88dc796150233eb23ecc02340953
Homepage: https://cran.r-project.org/package=PakPC2023
Description: CRAN Package 'PakPC2023' (Pakistan Population Census 2023)
 Provides data sets and functions for exploration of Pakistan Population
 Census 2023 (<https://www.pbs.gov.pk/>).

Package: r-cran-pakpc
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dt, r-cran-htmltools, r-cran-magrittr, r-cran-pakpc2017, r-cran-pakpc2023, r-cran-rpivottable, r-cran-shiny, r-cran-shinydashboard, r-cran-shinydashboardplus
Suggests: r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pakpc_0.3.0-1.ca2004.1_all.deb
Size: 1177128
MD5sum: 10e1c97bee81fd9b39a5ed251a8cd99d
SHA1: 4c801b9e63893a1c90de725848be5041cb7f3b3d
SHA256: 385b78d7009f3e43bc21c0b7feb1e1e26ecbf80782367ef485faeba85240e21e
SHA512: 28403e84d18258d4246db1bdefeadda0c9f09569dd34173b63c4bc8a9143cacaa7e34b1b6fced8e281ecbe40fa53f819980388c21e866c44b7001b82dd519c9a
Homepage: https://cran.r-project.org/package=PakPC
Description: CRAN Package 'PakPC' ('shiny' App to Analyze Pakistan's Population Census Data)
 Provides tools for analyzing Pakistan's Population Censuses data via the
 'PakPC2023' and 'PakPC2017' R packages. Designed for researchers,
 policymakers, and professionals, the app enables in-depth numerical and
 graphical analysis, including detailed cross-tabulations and insights. With
 diverse statistical models and visualization options, it supports informed
 decision-making in social and economic policy. This tool enhances users'
 ability to explore and interpret census data, providing valuable insights
 for effective planning and analysis across various fields.

Package: r-cran-pakpmics2014ch
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3308
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pakpmics2014ch_0.1.0-1.ca2004.1_all.deb
Size: 3295160
MD5sum: 7ad7836c765d39853a0238f8b342d6f6
SHA1: 30fdb5f987cc18df258c20cd3e7ef5de9fb5991c
SHA256: 057853d051b6986228ef76f7ac7659a8f84263d7ddabdc586fe863fade5b72d7
SHA512: 45c29b2c3790f66b312bdb52c9e6f46420e2516df54cb5d876bfe0c7eeae94c6bd8f2d7f64cace6d610721fb0946b6b6ff49832253adc6313dfde49e354e7c25
Homepage: https://cran.r-project.org/package=PakPMICS2014Ch
Description: CRAN Package 'PakPMICS2014Ch' (Multiple Indicator Cluster Survey (MICS) 2014 ChildQuestionnaire Data for Punjab, Pakistan)
 Provides data set and functions for exploration of Multiple Indicator
 Cluster Survey (MICS) 2014 Child questionnaire data for Punjab, Pakistan
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2014hh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2541
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pakpmics2014hh_0.1.0-1.ca2004.1_all.deb
Size: 2530188
MD5sum: 389c10b0c0ba76b00795a21b0c915f32
SHA1: ff259e4f1572ca02ca1777706133c4bdd9e67f1d
SHA256: 4be6f2257e4f9cc6c60a7cb77c016485718d876f961b022848e2b48d05d8e99b
SHA512: eacb8ea075bb1e435d633be907ceaed9fc6b6caa824c0def0a0322b71837a35950c4ab31dcfe610f284636d43453da4bc1b884d6e1a448628346e07035d3e443
Homepage: https://cran.r-project.org/package=PakPMICS2014HH
Description: CRAN Package 'PakPMICS2014HH' (Multiple Indicator Cluster Survey (MICS) 2014 HouseholdQuestionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2014 Household questionnaire data for Punjab, Pakistan
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2014hl
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3281
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pakpmics2014hl_0.1.1-1.ca2004.1_all.deb
Size: 3324320
MD5sum: ba8f6462b2ab219e39aa0cc80926ed5d
SHA1: 2ebb6d56411e9f8834293deeb798da3eefca9703
SHA256: 33e5d4b358f0e439dea3580c4609a8756b933c39ecd54d1f357740c2fefbad49
SHA512: 37657e71b132714ba4c58550104903f30351cd5be27fca39fb0369e59caf15d8d83e1922d8136fc2f3639227bfa775a5003660a0b8fedb50a0c8dc955fdc17c3
Homepage: https://cran.r-project.org/package=PakPMICS2014HL
Description: CRAN Package 'PakPMICS2014HL' (Multiple Indicator Cluster Survey (MICS) 2014 Household ListingQuestionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey 2014 Household Listing questionnaire data for Punjab, Pakistan.

Package: r-cran-pakpmics2014wm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pakpmics2014wm_0.1.1-1.ca2004.1_all.deb
Size: 2915880
MD5sum: 93718fb0a2eb750c57dc66626b049001
SHA1: ea562dba9cc3072b7738e51b1e220b49a4994aca
SHA256: 5035e49298f1edafa12a5d96887c30955e4fef3b3ce073e83604d9c2d85137a0
SHA512: 4f8a80e90574f5c3f1705618736a86ea353b481e053e4ae4b645686b589a524d890e46af1a1930e669fffe65e85acd7fd346fdaabdb08f122cb55f4ee93cd935
Homepage: https://cran.r-project.org/package=PakPMICS2014Wm
Description: CRAN Package 'PakPMICS2014Wm' (Multiple Indicator Cluster Survey (MICS) 2014 WomenQuestionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey 2014 Women (age 15-49 years) questionnaire data for Punjab, Pakistan.

Package: r-cran-pakpmics2018
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1947
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018_1.2.0-1.ca2004.1_all.deb
Size: 1794364
MD5sum: 9f448c94a6d4cc4e3f4e17ed6b066867
SHA1: 065618be9bd68f0ef236b62d59986f13bf3c9e92
SHA256: f922e3645a80642a31f5ca11924c041f73fe24f0082e0a39d69007a4341ced67
SHA512: 5e5b83fce401ced11b890c8edf319489d08caa6fdaa93042e2e1f95a9e162a2b46cb7d10d07aa04f20a11fd768c000085bbe19e53c70e689e2b8cc38381fee29
Homepage: https://cran.r-project.org/package=PakPMICS2018
Description: CRAN Package 'PakPMICS2018' (Multiple Indicator Cluster Survey (MICS) 2017-18 Data forPunjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 data for Punjab, Pakistan. The results of the present
 survey are critically important for the purposes of SDG monitoring, as the
 survey produces information on 32 global SDG indicators. The data was
 collected from 53,840 households selected at the second stage with
 systematic random sampling out of a sample of 2,692 clusters selected using
 Probability Proportional to size sampling. Six questionnaires were used in
 the survey: (1) a household questionnaire to collect basic demographic
 information on all de jure household members (usual residents), the
 household, and the dwelling; (2) a water quality testing questionnaire
 administered in three households in each cluster of the sample; (3) a
 questionnaire for individual women administered in each household to all
 women age 15-49 years; (4) a questionnaire for individual men administered
 in every second household to all men age 15-49 years; (5) an under-5
 questionnaire, administered to mothers (or caretakers) of all children under
 5 living in the household; and (6) a questionnaire for children age 5-17
 years, administered to the mother (or caretaker) of one randomly selected
 child age 5-17 years living in the household.

Package: r-cran-pakpmics2018bh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3865
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018bh_0.1.0-1.ca2004.1_all.deb
Size: 3782196
MD5sum: 9798ccc5ddb0ff7a30053c2cd236fcdb
SHA1: 7a3b114e2393d2840c75218e03a0c2300e9a99e3
SHA256: 486e0fa77f052948e320e79f975607cd51f346746958631b9849abe85286c5ae
SHA512: f60a80ec8b6dd0990cc81911e3395cf08b17616d06e895bcab0699d844268f6d7082cf99a46cf006a7bd54c4e9ca882bd81b628aa76ace16d7dfb6c73a2c1a14
Homepage: https://cran.r-project.org/package=PakPMICS2018bh
Description: CRAN Package 'PakPMICS2018bh' (Multiple Indicator Cluster Survey (MICS) 2017-18 Birth Historyof Children Questionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 Household questionnaire data for Punjab, Pakistan. The
 results of the present survey are critically important for the purposes of
 SDG monitoring, as the survey produces information on 32 global SDG
 indicators. The data was collected from 53,840 households selected at the
 second stage with systematic random sampling out of a sample of 2,692
 clusters selected using Probability Proportional to size sampling. Six
 questionnaires were used in the survey: (1) a household questionnaire to
 collect basic demographic information on all de jure household members
 (usual residents), the household, and the dwelling; (2) a water quality
 testing questionnaire administered in three households in each cluster of
 the sample; (3) a questionnaire for individual women administered in each
 household to all women age 15-49 years; (4) a questionnaire for individual
 men administered in every second household to all men age 15-49 years; (5)
 an under-5 questionnaire, administered to mothers (or caretakers) of all
 children under 5 living in the household; and (6) a questionnaire for
 children age 5-17 years, administered to the mother (or caretaker) of one
 randomly selected child age 5-17 years living in the household
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2018fs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3592
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018fs_0.1.0-1.ca2004.1_all.deb
Size: 3496528
MD5sum: c80a693d03f2cd8799029f870357a6aa
SHA1: 04f1938b6033b400c12aabcbb002794dc7faafc3
SHA256: 10fe7a0fa3b1e282e3e5987c3b103938ab9647ec4bdab6b3356eb6bacd5e83c6
SHA512: 7337ebfc4a7775510796e1351ee873d9127a77ddaf87ab72660c880b2bf2ea10b59d2bd40e73ed694196b8eea020243122708fec4d1876083edd4a9c15b758e1
Homepage: https://cran.r-project.org/package=PakPMICS2018fs
Description: CRAN Package 'PakPMICS2018fs' (Multiple Indicator Cluster Survey (MICS) 2017-18 Children Age5-17 Questionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 Children Age 5-17 questionnaire data for Punjab,
 Pakistan. The results of the present survey are critically important for the
 purposes of Sustainable Development Goals (SDGs) monitoring, as the survey
 produces information on 32 global Sustainable Development Goals (SDGs)
 indicators. The data was collected from 53,840 households selected at the
 second stage with systematic random sampling out of a sample of 2,692
 clusters selected using probability proportional to size sampling. Six
 questionnaires were used in the survey: (1) a household questionnaire to
 collect basic demographic information on all de jure household members
 (usual residents), the household, and the dwelling; (2) a water quality
 testing questionnaire administered in three households in each cluster of
 the sample; (3) a questionnaire for individual women administered in each
 household to all women age 15-49 years; (4) a questionnaire for individual
 men administered in every second household to all men age 15-49 years; (5)
 an under-5 questionnaire, administered to mothers (or caretakers) of all
 children under 5 living in the household; and (6) a questionnaire for
 children age 5-17 years, administered to the mother (or caretaker) of one
 randomly selected child age 5-17 years living in the household
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2018hh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4735
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018hh_0.1.0-1.ca2004.1_all.deb
Size: 4550588
MD5sum: 7da1b5326138bb47373a69c0bd50e318
SHA1: c1a5ca36f2640bff2560d2ebe58dc0c427594ab3
SHA256: 886bccc33377c9225b640d38574ebef18184873acc7bdfec21df8bf1b08ce9e4
SHA512: c095850740462005e3cff8d9d5a4beb3a51fae02ebea571d6110fac3a1b8860ab39b03a7b7c6c2f12eb6fba6d503b4c267558e3c4cc3f0c668bd8041891c5521
Homepage: https://cran.r-project.org/package=PakPMICS2018hh
Description: CRAN Package 'PakPMICS2018hh' (Multiple Indicator Cluster Survey (MICS) 2017-18 HouseholdQuestionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 Household questionnaire data for Punjab, Pakistan. The
 results of the present survey are critically important for the purposes of
 Sustainable Development Goals (SDGs) monitoring, as the survey produces
 information on 32 global Sustainable Development Goals (SDGs) indicators.
 The data was collected from 53,840 households selected at the second stage
 with systematic random sampling out of a sample of 2,692 clusters selected
 using probability proportional to size sampling. Six questionnaires were
 used in the survey: (1) a household questionnaire to collect basic
 demographic information on all de jure household members (usual residents),
 the household, and the dwelling; (2) a water quality testing questionnaire
 administered in three households in each cluster of the sample; (3) a
 questionnaire for individual women administered in each household to all
 women age 15-49 years; (4) a questionnaire for individual men administered
 in every second household to all men age 15-49 years; (5) an under-5
 questionnaire, administered to mothers (or caretakers) of all children under
 5 living in the household; and (6) a questionnaire for children age 5-17
 years, administered to the mother (or caretaker) of one randomly selected
 child age 5-17 years living in the household
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2018mm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3473
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018mm_0.1.0-1.ca2004.1_all.deb
Size: 3326788
MD5sum: c206a01371a5cdffd9222215c6e34eb8
SHA1: 742d673bc0b7b40c6b35fa47b7df99c8dbac6dfb
SHA256: e694253f1f83f413ad0eb48ec32f8289da2876d1bfd2bd40094ef0cb936f7ae8
SHA512: 16e3fa67106421527d7f6f7a1807abbaebe0ef1466f21ecc91198adfb65c817070b9d88872edc950f38d9d5c45b975edef519bcdf8c78177b0674e8be34dcaa1
Homepage: https://cran.r-project.org/package=PakPMICS2018mm
Description: CRAN Package 'PakPMICS2018mm' (Multiple Indicator Cluster Survey (MICS) 2017-18 MaternalMortality Questionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 Maternal Mortality questionnaire data for Punjab,
 Pakistan. The results of the present survey are critically important for the
 purposes of Sustainable Development Goals (SDGs) monitoring, as the survey
 produces information on 32 global Sustainable Development Goals (SDGs)
 indicators. The data was collected from 53,840 households selected at the
 second stage with systematic random sampling out of a sample of 2,692
 clusters selected using probability proportional to size sampling. Six
 questionnaires were used in the survey: (1) a household questionnaire to
 collect basic demographic information on all de jure household members
 (usual residents), the household, and the dwelling; (2) a water quality
 testing questionnaire administered in three households in each cluster of
 the sample; (3) a questionnaire for individual women administered in each
 household to all women age 15-49 years; (4) a questionnaire for individual
 men administered in every second household to all men age 15-49 years; (5)
 an under-5 questionnaire, administered to mothers (or caretakers) of all
 children under 5 living in the household; and (6) a questionnaire for
 children age 5-17 years, administered to the mother (or caretaker) of one
 randomly selected child age 5-17 years living in the household
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakpmics2018mn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3013
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pakpmics2018mn_0.1.0-1.ca2004.1_all.deb
Size: 2904928
MD5sum: c0ba84bfa1f9f7302479554a75314dfa
SHA1: b77c3870cd32db89e4e664977f5a49deb32ae046
SHA256: 443ad2887e427af59b84d9e929e93aeec43f403de26fa8558599643177b8d13f
SHA512: 1cb3e461b322711b5be3865d5af85ba7065fa23feb8e5e23435c9ab11eca2170934a893bb0c498235ece6216316cd990897911958f3cc6d4c1c3137e5179457a
Homepage: https://cran.r-project.org/package=PakPMICS2018mn
Description: CRAN Package 'PakPMICS2018mn' (Multiple Indicator Cluster Survey (MICS) 2017-18 MenQuestionnaire Data for Punjab, Pakistan)
 Provides data set and function for exploration of Multiple Indicator Cluster
 Survey (MICS) 2017-18 Men questionnaire data for Punjab, Pakistan. The
 results of the present survey are critically important for the purposes of
 Sustainable Development Goals (SDGs) monitoring, as the survey produces
 information on 32 global Sustainable Development Goals (SDGs) indicators.
 The data was collected from 53,840 households selected at the second stage
 with systematic random sampling out of a sample of 2,692 clusters selected
 using probability proportional to size sampling. Six questionnaires were
 used in the survey: (1) a household questionnaire to collect basic
 demographic information on all de jure household members (usual residents),
 the household, and the dwelling; (2) a water quality testing questionnaire
 administered in three households in each cluster of the sample; (3) a
 questionnaire for individual women administered in each household to all
 women age 15-49 years; (4) a questionnaire for individual men administered
 in every second household to all men age 15-49 years; (5) an under-5
 questionnaire, administered to mothers (or caretakers) of all children under
 5 living in the household; and (6) a questionnaire for children age 5-17
 years, administered to the mother (or caretaker) of one randomly selected
 child age 5-17 years living in the household
 (<http://www.mics.unicef.org/surveys>).

Package: r-cran-pakret
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-withr
Suggests: r-cran-callr, r-cran-pkgload, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-pakret_0.2.2-1.ca2004.1_all.deb
Size: 63520
MD5sum: 9a851de10c9a5679872e7bc3c2433d41
SHA1: 56884ff20e6f9cc287976c36f9b97da16485f41f
SHA256: 1b1f4f254a8c188853991859613d48549a5e5f7fcfbbcbc62b7c583cd3709058
SHA512: fb464296a0668afca7f673373eae196b8c9fd9cef10145cdf526ada685ff4b0f4ed95d9bcf3ea1bf623b145fc6cd628ca4c659c76623d253e3006c59b92f32cb
Homepage: https://cran.r-project.org/package=pakret
Description: CRAN Package 'pakret' (Cite 'R' Packages on the Fly in 'R Markdown' and 'Quarto')
 References and cites 'R' and 'R' packages on the fly in 'R Markdown' and
 'Quarto'. 'pakret' provides a minimalistic API that generates preformatted
 citations of 'R' and 'R' packages, and adds their reference to a '.bib' file
 directly from within your document.

Package: r-cran-palaeosig
Architecture: all
Version: 2.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 584
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-teachingdemos, r-cran-rioja, r-cran-mgcv, r-cran-mass, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-cran-forcats, r-cran-assertr, r-cran-vegan, r-cran-rlang, r-cran-ggrepel, r-cran-tidyr, r-cran-purrr
Suggests: r-cran-units, r-cran-knitr, r-cran-rmarkdown, r-cran-gstat, r-cran-sf, r-cran-analogue, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-palaeosig_2.1-3-1.ca2004.1_all.deb
Size: 435636
MD5sum: f931edb7212be7a137807e6eef4a16d8
SHA1: a1e6bba47fdc1a610877197a40f5495ce9057435
SHA256: b00df2e54e458e51bb4db5d3fb1fff2c5df31627d3f50d288b63fe8955c2d9eb
SHA512: f53bfbb106fe02fd4c45e458c9b66b6744c5125b4e7e625479cb68a89786b8c750c7cb3675388545381fa5435bda1da00711bc14bb8b5b7dd7cc2a4cdf28f65b
Homepage: https://cran.r-project.org/package=palaeoSig
Description: CRAN Package 'palaeoSig' (Significance Tests for Palaeoenvironmental Reconstructions)
 Several tests of quantitative palaeoenvironmental reconstructions from
 microfossil assemblages, including the null model tests of the statistically
 significant of reconstructions developed by Telford and Birks (2011)
 <doi:10.1016/j.quascirev.2011.03.002>, and tests of the effect of spatial
 autocorrelation on transfer function model performance using methods from
 Telford and Birks (2009) <doi:10.1016/j.quascirev.2008.12.020> and Trachsel
 and Telford (2016) <doi:10.5194/cp-12-1215-2016>. Age-depth models with
 generalized mixed-effect regression from Heegaard et al (2005)
 <doi:10.1191/0959683605hl836rr> are also included.

Package: r-cran-palaeoverse
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2799
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-ape, r-cran-sf, r-cran-stringdist, r-cran-geosphere, r-cran-h3jsr, r-cran-httr, r-cran-pbapply, r-cran-lifecycle
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-vdiffr, r-cran-paleotree, r-cran-phytools, r-cran-covr
Filename: pool/dists/focal/main/r-cran-palaeoverse_1.4.0-1.ca2004.1_all.deb
Size: 2075556
MD5sum: 0c75d4bac9ce2551816f2bf28a74084d
SHA1: 6f0f712e288c9f44d067f52f66094d8c4a79e0a1
SHA256: 138ee49d115c5af5f035bd63bcb02b0a92b72a176843371760924bf4476be6ef
SHA512: df8502bf51a94801c402e5fc5cd3886765e94a5554c094569cc2d422df63525f0cc501c45b35d3afbd131effda13cee98f47ac513ebaf3658846bab1296c7a74
Homepage: https://cran.r-project.org/package=palaeoverse
Description: CRAN Package 'palaeoverse' (Prepare and Explore Data for Palaeobiological Analyses)
 Provides functionality to support data preparation and exploration for
 palaeobiological analyses, improving code reproducibility and accessibility.
 The wider aim of 'palaeoverse' is to bring the palaeobiological community
 together to establish agreed standards. The package currently includes
 functionality for data cleaning, binning (time and space), exploration,
 summarisation and visualisation. Reference datasets (i.e. Geological Time
 Scales <https://stratigraphy.org/chart>) and auxiliary functions are also
 provided. Details can be found in: Jones et al., (2023) <doi:
 10.1111/2041-210X.14099>.

Package: r-cran-palasso
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-survival
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-remotes, r-cran-proc, r-bioc-edger, r-cran-ashr
Filename: pool/dists/focal/main/r-cran-palasso_1.0.0-1.ca2004.1_all.deb
Size: 173252
MD5sum: 0c067033cdc1beb8c4107b1b026f0a3e
SHA1: fed330aa8320f4336881a48ca46012524f4842df
SHA256: f371080c402026523cfbbcaff112748b11c89304d9f77d3f657760280ebe206a
SHA512: 0ba11edd24f92b02323b5f529daba5324b3cc0afc23c9a067d70a8330fce9fe5379bb8623b09d02aa382cbd3050683d030cc9effb3499c51b4a530d23a2d4efd
Homepage: https://cran.r-project.org/package=palasso
Description: CRAN Package 'palasso' (Sparse Regression with Paired Covariates)
 Implements sparse regression with paired covariates
 (<doi:10.1007/s11634-019-00375-6>). The paired lasso is designed for
 settings where each covariate in one set forms a pair with a covariate in
 the other set (one-to-one correspondence). For the optional correlation
 shrinkage, install ashr (<https://github.com/stephens999/ashr>) and
 CorShrink (<https://github.com/kkdey/CorShrink>) from GitHub (see README).

Package: r-cran-pald
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 915
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pald_0.0.5-1.ca2004.1_all.deb
Size: 810168
MD5sum: 903e1c0f047ea1ae7c071f0c4791d4d7
SHA1: 5505306ae95b8cab466c01b9585e866bb4945e1d
SHA256: 76b4e02cc63c72e61d939c7eb06d86fde48a213b93a2f1fc8ac3ba54d36ba415
SHA512: f448c0c17a1d53f45aafec0b34c30a450dfd0d8f4baea0f052d2355f3fd63c6ebd6a3a275c95f7fb0ef8e5d1c1779e68d7e474ed7df0bf773632eb6da0cc3919
Homepage: https://cran.r-project.org/package=pald
Description: CRAN Package 'pald' (Partitioned Local Depth for Community Structure in Data)
 Implementation of the Partitioned Local Depth (PaLD) approach which provides
 a measure of local depth and the cohesion of a point to another which
 (together with a universal threshold for distinguishing strong and weak
 ties) may be used to reveal local and global structure in data, based on
 methods described in Berenhaut, Moore, and Melvin (2022)
 <doi:10.1073/pnas.2003634119>. No extraneous inputs, distributional
 assumptions, iterative procedures nor optimization criteria are employed.
 This package includes functions for computing local depths and cohesion as
 well as flexible functions for plotting community networks and displays of
 cohesion against distance.

Package: r-cran-paleoam
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paleoam_1.0.1-1.ca2004.1_all.deb
Size: 155380
MD5sum: aafc12b5b3beca83d91a1f1ce45e1fb7
SHA1: dd575b0a37d770222d2f22b545e5cce94e5d159a
SHA256: ae141db37f7eba5916a335fb5f77b6190581aad904cb9e34d4143744476da6a8
SHA512: b328b7415f2fa075968ab06b599e4ae9dc1ceb339a6daf598d09e5b6b7ceeb8d18abe6c57edaf4b317a2d07a09abe4ed2b74df457a49cd276051da0fe8c5611d
Homepage: https://cran.r-project.org/package=paleoAM
Description: CRAN Package 'paleoAM' (Simulating Assemblage Models of Abundance for the Fossil Record)
 Provides functions for fitting abundance distributions over environmental
 gradients to the species in ecological communities, and tools for simulating
 the fossil assemblages from those abundance models for such communities, as
 well as simulating assemblages across various patterns of sedimentary
 history and sampling. These tools are for particular use with fossil records
 with detailed age models and abundance distributions used for calculating
 environmental gradients from ordinations or other indices based on fossil
 assemblages.

Package: r-cran-paleobiodb
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-gtools, r-cran-maps, r-cran-rjson, r-cran-terra
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paleobiodb_1.0.0-1.ca2004.1_all.deb
Size: 440440
MD5sum: 9c4c72f8e73821cee643f00ed4aae0fe
SHA1: e20f539e58a24c856c418918b0840592bd145768
SHA256: f5658213c58769ea749152c197f4c7d51dd6514083b7dde3ae489b92565d3712
SHA512: d4358717eeed9f3592d56a2ddb2b7df7413adcead46d15e27fa251993e2157fd5cfbfe9d014909eaeef056dd625e6c85ed2b53c58b17f5dbe5b3c7061ca57468
Homepage: https://cran.r-project.org/package=paleobioDB
Description: CRAN Package 'paleobioDB' (Download and Process Data from the Paleobiology Database)
 Includes functions to wrap most endpoints of the 'PaleobioDB' API and
 functions to visualize and process the fossil data. The API documentation
 for the Paleobiology Database can be found at
 <https://paleobiodb.org/data1.2/>.

Package: r-cran-paleobuddy
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3394
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ape, r-cran-fitdistrplus, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-paleobuddy_1.1.0-1.ca2004.1_all.deb
Size: 1688600
MD5sum: c4996f20c6cee61d2deccabef1945a89
SHA1: 688c04c145211c3d8f78c0e6f7b520d267ffc912
SHA256: 740e98ea15dc0153da94bccc80cf4a5797fc789e4a11cdd26d0026e8f2e035ff
SHA512: 14eb81a1b92d2cfc8e072a9ddbcc3a2615f66a678a859fc919d30bc3f9bc7ba7b249788519154e56591f83537e16e8b9b6663ee11dc30102acde6a3090b9d70f
Homepage: https://cran.r-project.org/package=paleobuddy
Description: CRAN Package 'paleobuddy' (Simulating Diversification Dynamics)
 Simulation of species diversification, fossil records, and phylogenies.
 While the literature on species birth-death simulators is extensive,
 including important software like 'paleotree' and 'APE', we concluded there
 were interesting gaps to be filled regarding possible diversification
 scenarios. Here we strove for flexibility over focus, implementing a large
 array of regimens for users to experiment with and combine. In this way,
 'paleobuddy' can be used in complement to other simulators as a flexible
 jack of all trades, or, in the case of scenarios implemented only here, can
 allow for robust and easy simulations for novel situations. Environmental
 data modified from that in 'RPANDA': Morlon H. et al (2016)
 <doi:10.1111/2041-210X.12526>.

Package: r-cran-paleodiv
Architecture: all
Version: 0.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 976
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-stringr
Suggests: r-cran-testthat, r-cran-strap, r-cran-divdyn, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-paleodiv_0.4.6-1.ca2004.1_all.deb
Size: 749600
MD5sum: cf6efaed9dadabe4bb64e6fa4b801483
SHA1: 8616eaeeb9e77d68e6371bc8a25ea2205cf6c191
SHA256: ade142d98d24a6688ccb57adafb3f64d33a35b3bf9dea5a48bec4ece6f64e9ae
SHA512: 0a3af0e4dcf0386d78d5a9d4b44d43d0a51d28b2872eaeb4e035ae62156c6f9622cb79a664aa9c661413e9fbe0cf79c3c3ea4135ba131b80af15483ee5b66c07
Homepage: https://cran.r-project.org/package=paleoDiv
Description: CRAN Package 'paleoDiv' (Extracting and Visualizing Paleobiodiversity)
 Contains various tools for conveniently downloading and editing
 taxon-specific datasets from the Paleobiology Database
 <https://paleobiodb.org>, extracting information on abundance, temporal
 distribution of subtaxa and taxonomic diversity through deep time, and
 visualizing these data in relation to phylogeny and stratigraphy.

Package: r-cran-paleofire
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3712
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gcd, r-cran-locfit, r-cran-raster, r-cran-ggplot2, r-cran-plyr, r-cran-rgdal, r-cran-lattice
Suggests: r-cran-gtools, r-cran-catools, r-cran-pscl, r-cran-agricolae, r-cran-imap, r-cran-sp, r-cran-rworldmap, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-paleofire_1.2.4-1.ca2004.1_all.deb
Size: 3711824
MD5sum: ba2080a4da49693b69736ccd4793361c
SHA1: cf43cce46d04d009835fc17d66617ecba5868054
SHA256: 3c4a9afe7137abaa7af7d356e762acbfb4d4ab1d028b76c1fb245b58aae5a3b9
SHA512: d4710900b6150262886609b89c200548b5d0a69f5597f5cffc4786ead31a9fbc987922b602e9b4c802ebf9dcd234ff4259a427ac9b19f5c7938eff22c6b8c8b7
Homepage: https://cran.r-project.org/package=paleofire
Description: CRAN Package 'paleofire' (Analysis of Charcoal Records from the Global Charcoal Database)
 Tools to extract and analyse charcoal sedimentary data stored in the Global
 Charcoal Database. Main functionalities includes data extraction and sites
 selection, transformation and interpolation of the charcoal records as well
 as compositing.

Package: r-cran-paleomas
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-vegan, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-paleomas_2.0-1-1.ca2004.1_all.deb
Size: 194168
MD5sum: 664e4805f0633884605125dc0ba2765f
SHA1: 7041336aa691b9e2f3e6989c1d9a51990ffa2d87
SHA256: 4cb521733a16dd3d4de20863bc14ffd703a57b34fcbc6c728f94423108ca6dfd
SHA512: c5504562cbdb8c473f7b192ce300932afb0e4fe6faba42b4733dfd96e1255c8e103ea01e187bb31ea785fb044cd38e64395008634944287c1a1d987461c5bd02
Homepage: https://cran.r-project.org/package=paleoMAS
Description: CRAN Package 'paleoMAS' (Paleoecological Analysis)
 Transfer functions and statistical operations for paleoecology

Package: r-cran-paleomorph
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-abind, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-paleomorph_0.1.4-1.ca2004.1_all.deb
Size: 64568
MD5sum: 91b228a55aadd244b5a46b9d5a903820
SHA1: 2eddb7167a94f6e8f436c93624d56b5a60f5c36e
SHA256: 8f9a8e656192b9917988b02a21cbfc7765975c45aeb8cb6f8f1fce163742ebf8
SHA512: e78dcdba8a728ca51e4c13b63dcb64ea27784377ef6c1769b4dfefc7b68250cbd8241983e59feab3a0b89bd73ad58846202ae8e81a396306f2a9eba013f205e5
Homepage: https://cran.r-project.org/package=paleomorph
Description: CRAN Package 'paleomorph' (Geometric Morphometric Tools for Paleobiology)
 Fill missing symmetrical data with mirroring, calculate Procrustes
 alignments with or without scaling, and compute standard or vector
 correlation and covariance matrices (congruence coefficients) of 3D
 landmarks. Tolerates missing data for all analyses.

Package: r-cran-paleopop
Architecture: all
Version: 2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4393
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-poems, r-cran-r6, r-cran-sf, r-cran-trend
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-dplyr, r-cran-raster
Filename: pool/dists/focal/main/r-cran-paleopop_2.1.7-1.ca2004.1_all.deb
Size: 4060264
MD5sum: fbe922596d4e6537375b56167ea149a3
SHA1: 647294499a71c49a182d66302fd15657421bb9c0
SHA256: a27da9f9936fc223682c0a5bca2ad817429111a23884bf2a848947cfa5924f07
SHA512: 5af0222671bb3f58f2df239c07f3cf9cc9c4871cf6e106bd21fb4373e2aa2d4725df4f5d5661b0fe117c96c4ee3d6dd2030870235f884c95aa0f88aade07dc25
Homepage: https://cran.r-project.org/package=paleopop
Description: CRAN Package 'paleopop' (Pattern-Oriented Modeling Framework for Coupled Niche-PopulationPaleo-Climatic Models)
 This extension of the poems pattern-oriented modeling (POM) framework
 provides a collection of modules and functions customized for
 paleontological time-scales, and optimized for single-generation transitions
 and large populations, across multiple generations.

Package: r-cran-paleotree
Architecture: all
Version: 3.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-phangorn, r-cran-phytools, r-cran-jsonlite, r-cran-png, r-cran-rcurl
Suggests: r-cran-spelling, r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-paleotree_3.4.7-1.ca2004.1_all.deb
Size: 1519192
MD5sum: 88c88f918ef34665a42aa52717ddc766
SHA1: d54af141cb0166d93ba8305339ad141462be28e2
SHA256: d0aa3757ebae42b1eff5c3d289c7b3ef63e5316793d55a701067bbbd66953c13
SHA512: b488481923d4ad041ea0d9cefb1df1ce48ad2cb4a29d5889b9ee65a8f5cd5807eddf744a180947ff6eea47cb4c9cdfe3cacaad2e72c91a65cddfef9b4446c743
Homepage: https://cran.r-project.org/package=paleotree
Description: CRAN Package 'paleotree' (Paleontological and Phylogenetic Analyses of Evolution)
 Provides tools for transforming, a posteriori time-scaling, and modifying
 phylogenies containing extinct (i.e. fossil) lineages. In particular, most
 users are interested in the functions timePaleoPhy, bin_timePaleoPhy,
 cal3TimePaleoPhy and bin_cal3TimePaleoPhy, which date cladograms of fossil
 taxa using stratigraphic data. This package also contains a large number of
 likelihood functions for estimating sampling and diversification rates from
 different types of data available from the fossil record (e.g. range data,
 occurrence data, etc). paleotree users can also simulate diversification and
 sampling in the fossil record using the function simFossilRecord, which is a
 detailed simulator for branching birth-death-sampling processes composed of
 discrete taxonomic units arranged in ancestor-descendant relationships.
 Users can use simFossilRecord to simulate diversification in incompletely
 sampled fossil records, under various models of morphological
 differentiation (i.e.  the various patterns by which morphotaxa originate
 from one another), and with time-dependent, longevity-dependent and/or
 diversity-dependent rates of diversification, extinction and sampling.
 Additional functions allow users to translate simulated ancestor-descendant
 data from simFossilRecord into standard time-scaled phylogenies or unscaled
 cladograms that reflect the relationships among taxon units.

Package: r-cran-paleots
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 728
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mnormt, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-paleots_0.6.2-1.ca2004.1_all.deb
Size: 576944
MD5sum: 66f24f050580d805c8f873f01f6d235f
SHA1: beaabbc577907947440b2f9cb4441830cb2713fd
SHA256: dec0284894cdb767d0319b5cc19567ae9e89ce6f3e2517ad916fdebaf50e0918
SHA512: 97bdd1b6a99e13687895d25498255e96b106e36298fef57836d9ae7b2e3fdb3ad89b8f46b4515b67b00359ff4517e95e5f2b7345e4f1e9042e41f1322bed6b1a
Homepage: https://cran.r-project.org/package=paleoTS
Description: CRAN Package 'paleoTS' (Analyze Paleontological Time-Series)
 Facilitates analysis of paleontological sequences of trait values.
 Functions are provided to fit, using maximum likelihood, simple evolutionary
 models (including unbiased random walks, directional evolution,stasis,
 Ornstein-Uhlenbeck, covariate-tracking) and complex models (punctuation,
 mode shifts).

Package: r-cran-palette
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-pillar, r-cran-vctrs
Suggests: r-cran-ggplot2, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-palette_0.0.2-1.ca2004.1_all.deb
Size: 107380
MD5sum: 248fe313385bddf5b31faa2394ab9152
SHA1: 1003a99d657feb654d81d25c23fea6e4a4fc8385
SHA256: df18bd7bf05b704aaa401779ca0dd1bc9e7fdaf261b634fb99b45d45a2b1082b
SHA512: 7898ad47e22b8f5849ca3b08d7f0911b046eb8d1810f6f8b024f02a2d1be6a1e084774f315f6ef62071699c70559d23cb938b9c955b6800fa4ff247d2a96e4c8
Homepage: https://cran.r-project.org/package=palette
Description: CRAN Package 'palette' (Color Scheme Helpers)
 Hexadecimal codes are typically used to represent colors in R.  Connecting
 these codes to their colors requires practice or memorization.  'palette'
 provides a 'vctrs' class for working with color palettes, including printing
 and plotting functions. The goal of the class is to place visual
 representations of color palettes directly on or, at least, next to their
 corresponding character representations. Palette extensions also are
 provided for data frames using 'pillar'.

Package: r-cran-paletteer
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-prismatic, r-cran-rematch2, r-cran-rlang, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggthemes, r-cran-harrypotter, r-cran-knitr, r-cran-oompabase, r-cran-palr, r-cran-pals, r-cran-rmarkdown, r-cran-scico, r-cran-testthat, r-cran-vdiffr, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-paletteer_1.6.0-1.ca2004.1_all.deb
Size: 441508
MD5sum: 1aecf3d7c6fb2504555a9cd5f25c225b
SHA1: 110eeb9cabed5ed192680e681c6a568ed2ac1a03
SHA256: 6a5051a2f0ff70ce67439474882719587923bcf63ba1312858e4eec34a383acb
SHA512: 6ba0c621010d33b8ca76387a4b5bb02e248aa8ba4e7d2bb5a7fb66103fa87a6d700cee7d652ce30f45e7eaf945287d8fcee1f32cfe9c592b46459897de982b04
Homepage: https://cran.r-project.org/package=paletteer
Description: CRAN Package 'paletteer' (Comprehensive Collection of Color Palettes)
 The choices of color palettes in R can be quite overwhelming with palettes
 spread over many packages with many different API's. This packages aims to
 collect all color palettes across the R ecosystem under the same package
 with a streamlined API.

Package: r-cran-paletteknife
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paletteknife_0.4.2-1.ca2004.1_all.deb
Size: 57128
MD5sum: 1e82a25bd4c60bc3ea8419e8b5dff03a
SHA1: 2ecc48ba9ed0d483334873ae33c5819ef5cc4d30
SHA256: f342a2af30d65f8ebcc9bb5923857bf90774ecd35e0565b7d1b4810151829a2c
SHA512: 4ece337167ba277d5193ae1714dd44e7a73292e700c20135bc783f10067d8a715f67c655659fffb403ab25b11fb485823bdeae70ea3e0c17a320eafc52cc921f
Homepage: https://cran.r-project.org/package=paletteknife
Description: CRAN Package 'paletteknife' (Create Colour Scales and Legend from Continuous or CategoricalVectors)
 Streamlines the steps for adding colour scales and associated legends when
 working with base R graphics, especially for interactive use. Popular
 palettes are included and pretty legends produced when mapping a large
 variety of vector classes to a colour scale. An additional helper for adding
 axes and grid lines complements the base::plot() work flow.

Package: r-cran-palettes
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vctrs, r-cran-cli, r-cran-pillar, r-cran-rlang, r-cran-purrr, r-cran-prismatic, r-cran-farver, r-cran-ggplot2, r-cran-scales, r-cran-tibble
Suggests: r-cran-pkgdown, r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-colorspace, r-cran-gt, r-cran-biscale, r-cran-sf, r-cran-patchwork, r-cran-metbrewer, r-cran-nord, r-cran-pnwcolors, r-cran-viridislite, r-cran-covr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-palettes_0.2.1-1.ca2004.1_all.deb
Size: 599944
MD5sum: 99a014b144ab3d76a4eb488a230a95bd
SHA1: aede4f667be1466f195bc1d73a3dfaa91c2e9511
SHA256: c5a8900903cd7605e5427d4970a407c29ee0a4685502d6ae94bde721993f0140
SHA512: edebb3ecf07c63c82726f022f9831e8210f5a20cd75616fce3d4adaca8d8ab56c6f5743c2e57ebcb9df91858f3ff2793d5a0b7bb4a88b7cd12f85556fccb344e
Homepage: https://cran.r-project.org/package=palettes
Description: CRAN Package 'palettes' (Methods for Colour Vectors and Colour Palettes)
 Provides a comprehensive library for colour vectors and colour palettes
 using a new family of colour classes (palettes_colour and palettes_palette)
 that always print as hex codes with colour previews.  Capabilities include:
 formatting, casting and coercion, extraction and updating of components,
 plotting, colour mixing arithmetic, and colour interpolation.

Package: r-cran-palettesforr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-palettesforr_0.1.2-1.ca2004.1_all.deb
Size: 122836
MD5sum: 76891c88297e184ccb8c7c8629f0f575
SHA1: 2789fd57640139ef941e39a2f3f9c948a5ce774d
SHA256: 5f219c8ffa6f612e308761985b1b82514bad59722cc6fd9768c99f432cdedffa
SHA512: 68d4c3b9ef19a246140fa46b6310f6a28d2d90f548f07d7d7c6b42ce44dbb01be3ea9757e84311b0dfd60ace20296e57bcb681d4bd70630301abf18b1ad2cf03
Homepage: https://cran.r-project.org/package=palettesForR
Description: CRAN Package 'palettesForR' (GPL Palettes Copied from 'Gimp' and 'Inkscape')
 A set of palettes imported from 'Gimp' distributed under GPL3
 (<https://www.gimp.org/about/COPYING>), and 'Inkscape' distributed under
 GPL2 (<https://inkscape.org/about/license/>).

Package: r-cran-palettetown
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-palettetown_0.1.1-1.ca2004.1_all.deb
Size: 52572
MD5sum: ac901d4bc0345a74aa743560a8f33698
SHA1: d659515083a6f364f1b029eac33d0ea6185d1671
SHA256: f76cb12dac0d12c80a161ca3de9ebc5b4c31959868780401fa916b3b2f8ce8a8
SHA512: 47940f622b68ca091aabb8538affb33b0c252c77b1305cfe4bedae65354f2a8a672d24c19dab03a80916ac82a7bd04f028f7c08fa9880b3bdc40486d64b75a14
Homepage: https://cran.r-project.org/package=palettetown
Description: CRAN Package 'palettetown' (Use Pokemon Inspired Colour Palettes)
 Use Pokemon(R) inspired palettes with additional 'ggplot2' scales.  Palettes
 are the colours in each Pokemon's sprite, ordered by how common they are in
 the image. The first 386 Pokemon are currently provided.

Package: r-cran-palinsol
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4448
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-gsl
Filename: pool/dists/focal/main/r-cran-palinsol_1.0-1.ca2004.1_all.deb
Size: 4364388
MD5sum: 1018812df46eedeb76cc110e06b0f883
SHA1: 3d19c7694ea2f9dedd0357a082ed330b5bf78414
SHA256: fab822f7843d47c0a1d6d89337d236beaa42c794db09279f71d283a5e7df6baf
SHA512: 197e5e63859b45565f8cb2b4a0dea0902892184662e936891551b875d7569baa3be8ac1b3d989db1de6fb6b9ddf79ac20ef08cda8ac2ac4d3e0a6e91392b6cce
Homepage: https://cran.r-project.org/package=palinsol
Description: CRAN Package 'palinsol' (Insolation for Palaeoclimate Studies)
 R package to compute Incoming Solar Radiation (insolation) for palaeoclimate
 studies. Features three solutions: Berger (1978), Berger and Loutre (1991)
 and Laskar et al. (2004). Computes daily-mean, season-averaged and annual
 means and for all latitudes, and polar night dates.

Package: r-cran-palmerpenguins
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3217
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-recipes
Filename: pool/dists/focal/main/r-cran-palmerpenguins_0.1.1-1.ca2004.1_all.deb
Size: 2971768
MD5sum: 62e5ebd99100a3b4f4b0f4942e683a93
SHA1: ee35b598da29a5a532bc2b76d196cc79e66a5fbd
SHA256: 1a658004e9a3389068c0f74dfa7d7052a3e3e3c793fd800b35e36cc2c61a6251
SHA512: 9d95cb2841e85b1a1f24145a2960e1d44ac874ccccdb9d327341677662f9c98b06e142c69462d82ee4586ec24ebcc5b8bfb0fbb4ed636823ff3ef91d4dba2175
Homepage: https://cran.r-project.org/package=palmerpenguins
Description: CRAN Package 'palmerpenguins' (Palmer Archipelago (Antarctica) Penguin Data)
 Size measurements, clutch observations, and blood isotope ratios for adult
 foraging Adélie, Chinstrap, and Gentoo penguins observed on islands in the
 Palmer Archipelago near Palmer Station, Antarctica. Data were collected and
 made available by Dr. Kristen Gorman and the Palmer Station Long Term
 Ecological Research (LTER) Program.

Package: r-cran-palmid
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 871
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-dbplyr, r-cran-downloadthis, r-cran-dbi, r-cran-dt, r-cran-ggplotify, r-cran-ggwordcloud, r-cran-ggextra, r-cran-gridextra, r-cran-htmltools, r-cran-htmlwidgets, r-cran-leaflet, r-cran-plotly, r-cran-rmarkdown, r-cran-rpostgresql, r-cran-scales, r-cran-viridislite
Suggests: r-cran-sf, r-cran-rnaturalearth, r-cran-rnaturalearthdata
Filename: pool/dists/focal/main/r-cran-palmid_0.0.3-1.ca2004.1_all.deb
Size: 738208
MD5sum: d3d9200438a8e94df9e1271468025414
SHA1: e2f32ec9d7dbed2831960bbe5d8f82c052b5cfd9
SHA256: a2de0bbd2e0cc762c250e8f88d72e3754234d19176da4b72971c1e369dde11ad
SHA512: 3b2bc8d75928c8572fffe6f8502e02c12e55b987b232a7f4e12aed6c245d58cfe583bc01348f422dbb57b1670d00ad1362a963958fd44c3d089677f7fc0ce24e
Homepage: https://cran.r-project.org/package=palmid
Description: CRAN Package 'palmid' (RdRP Analysis Suite)
 R Analysis suite for viral RNA dependent RNA polymerase (RdRP).  Statistical
 and meta-data analysis of 'palmscan' output and 'palmDB'/ 'DIAMOND'
 alignment files. Cross reference an input RNA virus against 145,000 RdRP
 identified in the Serratus project.

Package: r-cran-palmo
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2176
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-seurat, r-cran-ggrepel, r-cran-pbapply, r-cran-lme4, r-cran-ggforce, r-bioc-mast, r-cran-factoextra, r-cran-rtsne, r-cran-knitr, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-bioc-complexheatmap, r-cran-circlize, r-cran-cowplot, r-cran-pheatmap, r-cran-tidyverse
Suggests: r-cran-ggpubr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-palmo_0.1.2-1.ca2004.1_all.deb
Size: 1418988
MD5sum: d8f8244f06d187f41727fabe27208845
SHA1: 5832d70e717fcd2c31f57e90deb77f4da360b32b
SHA256: 08868047b5bad508e82376c9df4ff53e845c519cfb823680a7590bb79f8f73c5
SHA512: 08fe8c832201969cac0aedf7ed5e6cfaa7c7f9c7579168587c809c090143bc0e66d326bf83a65772af288d15953c5e1849bfbbd73155b798865270bd4843f09d
Homepage: https://cran.r-project.org/package=PALMO
Description: CRAN Package 'PALMO' (Identify Intra and Inter-Donor Variations in Bulk or Single CellLongitudinal Dataset)
 It is a platform for analyzing longitudinal data from bulk as well as single
 cell datasets. It allows to identify variations in molecular features within
 and across donors over longitudinal time points. The analysis can be done on
 bulk expression dataset without known cell type information or single cell
 with cell type/user-defined groups. It allows to infer stable and variable
 features in given donor and each cell type (or user defined group). The
 outlier analysis can be performed to identify technical/biological perturbed
 samples in donor/participant. Further, differential analysis can be
 performed to decipher time-wise changes in gene expression in a cell type.

Package: r-cran-palmr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-palmr_0.2.0-1.ca2004.1_all.deb
Size: 53716
MD5sum: bc90f0220a8aa5b0078ab9fd530d631b
SHA1: 976ada6edc89ad58e409e854f44650d9129c9f1e
SHA256: 5022638c4880dcb9e4a78e4b25d1b72bad540f8d6d687a0b61ee285e00b25c50
SHA512: 2a29a1d8f7c3c41e0cbab44143f7d46239133f30c2cfbe9ce44ba2f0ae5b78a920b494e2f92a71d7ccead62c01d6e716a4a7cd3e9e2c6c2b1d7fe2bf6cc30e7b
Homepage: https://cran.r-project.org/package=PaLMr
Description: CRAN Package 'PaLMr' (Interface for 'Google Pathways Language Model 2 (PaLM 2)')
 'Google Pathways Language Model 2 (PaLM 2)' as a coding and writing
 assistant designed for 'R'. With a range of functions, including natural
 language processing and coding optimization, to assist 'R' developers in
 simplifying tedious coding tasks and content searching.

Package: r-cran-palmtree
Architecture: all
Version: 0.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-formula
Suggests: r-cran-mvtnorm, r-cran-psychotools
Filename: pool/dists/focal/main/r-cran-palmtree_0.9-1-1.ca2004.1_all.deb
Size: 33320
MD5sum: 5a89ade5d9a96dd11cd91c2829deb27b
SHA1: 5e4f02af0d9530c735711c747548716f6c35dd41
SHA256: 1f03c7c5b0feadd2e1b2e2730351501592c6aaf27cd89b412ce99285dcdb4166
SHA512: 4fc989ef98c893124d2dafb1ecd1c0924c69d5130a278e8aa886cf0b84b96553fac804d6e020a104216f2f5705df3a48714e5f62e257cb0f4a10c695ea9d5f54
Homepage: https://cran.r-project.org/package=palmtree
Description: CRAN Package 'palmtree' (Partially Additive (Generalized) Linear Model Trees)
 This is an implementation of model-based trees with global model parameters
 (PALM trees). The PALM tree algorithm is an extension to the MOB algorithm
 (implemented in the 'partykit' package), where some parameters are fixed
 across all groups. Details about the method can be found in Seibold,
 Hothorn, Zeileis (2016) <arXiv:1612.07498>. The package offers coef(),
 logLik(), plot(), and predict() functions for PALM trees.

Package: r-cran-palr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-raster, r-cran-testthat, r-cran-covr, r-cran-stars, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-palr_0.4.0-1.ca2004.1_all.deb
Size: 223408
MD5sum: 3bce7139109e76da302560789d5bfd9d
SHA1: 01a8147044de7c30c0ba7bc378984fb6184a913b
SHA256: 8d4a5ed8b741692d8232eb30e2db14eea28f7e6d90fba6b63d7f645ab389eccb
SHA512: 78769849717335e481a7c41c2f9baf83ba3ee4847ce81ced1ff5bd1e89be4962505f71a125d7207fb5f5efad24628c2cac5df0cc6103f81d7f4e4c974152e89d
Homepage: https://cran.r-project.org/package=palr
Description: CRAN Package 'palr' (Colour Palettes for Data)
 Colour palettes for data, based on some well known public data sets.
 Includes helper functions to map absolute values to known palettes, and
 capture the work of image colour mapping as raster data sets.

Package: r-cran-pals
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-dichromat, r-cran-mapproj, r-cran-maps
Suggests: r-cran-classint, r-cran-ggplot2, r-cran-knitr, r-cran-latticeextra, r-cran-reshape2, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pals_1.10-1.ca2004.1_all.deb
Size: 1845712
MD5sum: 514bfc201e6f9984a488533783d0313b
SHA1: ebd3d0b1c4b87820c099f4e1a0bec61c8e8e03c9
SHA256: 03f175836d14bf5b854914be7f95f4bdd434dc1ea3f20f3833e419945e66fbf3
SHA512: d11cfee244ab4dd5f67f1f688c7669a222aadafe7640e251d24234b2e7c11ae0d42a03512a90a6188738ad10760513fc20dfa1b53a7a7f151df8edc992401878
Homepage: https://cran.r-project.org/package=pals
Description: CRAN Package 'pals' (Color Palettes, Colormaps, and Tools to Evaluate Them)
 A comprehensive collection of color palettes, colormaps, and tools to
 evaluate them. See Kovesi (2015) <doi:10.48550/arXiv.1509.03700>.

Package: r-cran-pam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-minpack.lm, r-cran-cowplot, r-cran-gridextra, r-cran-ggthemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pam_1.0.2-1.ca2004.1_all.deb
Size: 141132
MD5sum: 2b998bde99ab10d8f1343491b50ea071
SHA1: ee53aa5d548057b6c0aacd750836b9ab2b5b3a8c
SHA256: a45384cff8579289a2d930a4669ae73f8b5500b5e1a9460b18fd2fa8bae8b3fb
SHA512: db35a8336115138a472fdc827ff3d53cf4e0ac3b73f01e643e29cf11faf03d96cd323a9677b519840a24db46aab2cc51fa65b74783180ad99c767acc95ea9bba
Homepage: https://cran.r-project.org/package=pam
Description: CRAN Package 'pam' (Fast and Efficient Processing of PAM Data)
 Processing Chlorophyll Fluorescence & P700 Absorbance data generated by WALZ
 hardware. Four models are provided for the regression of Pi curves, which
 can be compared with each other in order to select the most suitable model
 for the data set. Control plots ensure the successful verification of each
 regression. Bundled output of alpha, ETRmax, Ik etc. enables fast and
 reliable further processing of the data.

Package: r-cran-pambinaries
Architecture: all
Version: 1.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2978
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pambinaries_1.9.3-1.ca2004.1_all.deb
Size: 1396720
MD5sum: 98c51c8227981211b081ace6e8bba684
SHA1: 86a22a27e42d7febcdedc3299f4ab3c1a597f8a7
SHA256: 699659a940e8d786f81546546fd5e48b90eb9b1bdbd42a0a2d29f74c57cbb319
SHA512: c3316d2bde84115875690a64dac434dca0eeb4c4ce4c4899fd1d03dcdc0c9c7537f2a0a9c800173c8c115042be5f032ee2ebd49ea0501146b3e9716d7f7a8605
Homepage: https://cran.r-project.org/package=PamBinaries
Description: CRAN Package 'PamBinaries' (Read and Process 'Pamguard' Binary Data)
 Functions for easily reading and processing binary data files created by
 'Pamguard' (<https://www.pamguard.org/>). All functions for directly reading
 the binary data files are based on 'MATLAB' code written by Michael Oswald.

Package: r-cran-pamctdp
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-xtable, r-cran-factoclass
Filename: pool/dists/focal/main/r-cran-pamctdp_0.3.2-1.ca2004.1_all.deb
Size: 315080
MD5sum: 3f9bc033708146f8ca3d4fe976b9fdec
SHA1: 507902af6ff8c449677fc966bc736a9bb92e7a70
SHA256: 2e20104ec2ba93dc6d012d3a1f2d762aa341825d2f03f473fb7bdbd66f29317f
SHA512: 03f9a10cffd7f701aea41d85649072e429efef29f23307f92059a0fed8ab44a989aa79f3f416f749c5ecbfe8d2eed6fdd7cf185f05cac12d8b0c25e6a3cdcad2
Homepage: https://cran.r-project.org/package=pamctdp
Description: CRAN Package 'pamctdp' (Principal Axes Methods for Contingency Tables with PartitionStructures on Rows and Columns)
 Correspondence Analysis of Contingency Tables with Simple and Double
 Structures Superimposed Representations, Intra Blocks Correspondence
 Analysis (IBCA), Weighted Intra Blocks Correspondence Analysis (WIBCA).

Package: r-cran-pameasures
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pameasures_0.1.0-1.ca2004.1_all.deb
Size: 29760
MD5sum: 0ce1a10e486746644210862be49f7c69
SHA1: 798cc706ecdbe69a6dad28e12c01b2b42375b87f
SHA256: efd28e221f694ccd9f0d18099b40a2d9b71c77d144451c8d5433f7e436f62d01
SHA512: a8aafff3e6a7026f7d838bc7851dc20240e699450aaf930cdc55b9becc4a83fe94d5136682990c0aa402403d691d0ec7c3f482df9ab9a0a85187c267621989ad
Homepage: https://cran.r-project.org/package=PAmeasures
Description: CRAN Package 'PAmeasures' (Prediction and Accuracy Measures for Nonlinear Models and forRight-Censored Time-to-Event Data)
 We propose a pair of summary measures for the predictive power of a
 prediction function based on a regression model. The regression model can be
 linear or nonlinear, parametric, semi-parametric, or nonparametric, and
 correctly specified or mis-specified. The first measure, R-squared, is an
 extension of the classical R-squared statistic for a linear model,
 quantifying the prediction function's ability to capture the variability of
 the response. The second measure, L-squared, quantifies the prediction
 function's bias for predicting the mean regression function. When used
 together, they give a complete summary of the predictive power of a
 prediction function. Please refer to Gang Li and Xiaoyan Wang (2016)
 <arXiv:1611.03063> for more details.

Package: r-cran-pamhm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-heatmapflex, r-cran-cluster, r-cran-rcolorbrewer, r-cran-r.utils, r-cran-readxl, r-cran-readmore, r-cran-plyr, r-cran-robusthd
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pamhm_0.1.2-1.ca2004.1_all.deb
Size: 259296
MD5sum: 520ae08a0d55b394cb5b89f7d7220f62
SHA1: 620161f570137b8664c5637fd04fe5cc052180fe
SHA256: edfe6044dba3d27b990efc82293748d75c649066b9d96271563b6413991a602c
SHA512: 5d88aa67ac214681c4ccc662ccb14b884973c9e0e741ae2e1d96222a828b93e63c6f8bb9bc062ce02a0071569fe00cce2a0e751c854947d2295570deeb6a1c33
Homepage: https://cran.r-project.org/package=PAMhm
Description: CRAN Package 'PAMhm' (Generate Heatmaps Based on Partitioning Around Medoids (PAM))
 Data are partitioned (clustered) into k clusters "around medoids", which is
 a more robust version of K-means implemented in the function pam() in the
 'cluster' package.  The PAM algorithm is described in Kaufman and Rousseeuw
 (1990) <doi:10.1002/9780470316801>.  Please refer to the pam() function
 documentation for more references.  Clustered data is plotted as a split
 heatmap allowing visualisation of representative "group-clusters" (medoids)
 in the data as separated fractions of the graph while those "sub-clusters"
 are visualised as a traditional heatmap based on hierarchical clustering.

Package: r-cran-pamm
Architecture: all
Version: 1.122-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lmertest, r-cran-lattice, r-cran-mvtnorm, r-cran-lme4
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-pamm_1.122-1.ca2004.1_all.deb
Size: 87064
MD5sum: dad665cf3fd145a18d596c42054998b8
SHA1: 7381894768ee0d44bbdfddebca83a30e9d57d0bb
SHA256: 059940cc6d1c2f0edb8ce06c39d51c10e6baae16d8abb6e32f85e1380ab64c51
SHA512: 0d90a3d5c8e3cc497d3f04346385060a835c9b2472aa00ce7a83131d77ea949699f6fc3b16b259228a058de7aaa0f0740dd712ad0bd83dac38268c017a408e9d
Homepage: https://cran.r-project.org/package=pamm
Description: CRAN Package 'pamm' (Power Analysis for Random Effects in Mixed Models)
 Simulation functions to assess or explore the power of a dataset to
 estimates significant random effects (intercept or slope) in a mixed model.
 The functions are based on the "lme4" and "lmerTest" packages.

Package: r-cran-pammtools
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-survival, r-cran-checkmate, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-lazyeval, r-cran-formula, r-cran-mvtnorm, r-cran-pec, r-cran-vctrs, r-cran-scam
Suggests: r-cran-testthat, r-cran-mstate
Filename: pool/dists/focal/main/r-cran-pammtools_0.7.3-1.ca2004.1_all.deb
Size: 765372
MD5sum: 321c1b222d347a72331374489255f953
SHA1: 5c81b8c1f829e274b88cfe70383898f7ab565606
SHA256: 9473803eb76f41430dac4b9404243095d779a91a5e8aa04772afe94375f743ec
SHA512: f8f3f9ff4e95f84fba2a7147a8eb4564d8bb440ff3db69471d86c275a595abb608e6394537cde704bbdb5299ed7d2647d4ea145ffda7ee32e9a5eb1f62dd639b
Homepage: https://cran.r-project.org/package=pammtools
Description: CRAN Package 'pammtools' (Piece-Wise Exponential Additive Mixed Modeling Tools forSurvival Analysis)
 The Piece-wise exponential (Additive Mixed) Model (PAMM; Bender and others
 (2018) <doi: 10.1177/1471082X17748083>) is a powerful model class for the
 analysis of survival (or time-to-event) data, based on Generalized Additive
 (Mixed) Models (GA(M)Ms).  It offers intuitive specification and robust
 estimation of complex survival models with stratified baseline hazards,
 random effects, time-varying effects, time-dependent covariates and
 cumulative effects (Bender and others (2019)), as well as support for
 left-truncated data as well as competing risks, recurrent events and
 multi-state settings.  pammtools provides tidy workflow for survival
 analysis with PAMMs, including data simulation, transformation and other
 functions for data preprocessing and model post-processing as well as
 visualization.

Package: r-cran-pampal
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1873
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-pambinaries, r-cran-pammisc, r-cran-tuner, r-cran-seewave, r-cran-gam, r-cran-data.table, r-cran-rsqlite, r-cran-purrr, r-cran-signal, r-cran-tidyr, r-cran-ggplot2, r-cran-knitr, r-cran-xml2, r-cran-rlang, r-cran-reticulate, r-cran-lubridate, r-cran-geosphere, r-cran-shiny, r-cran-future.apply
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pampal_1.4.4-1.ca2004.1_all.deb
Size: 1189444
MD5sum: 0872f5b23272e3073a6b055845854245
SHA1: 38e7538365889a25e37090de5e295b463526f45c
SHA256: 4675da74e0345ac11b1023970d1901f21d266eb6958a1983959e985309fe8e06
SHA512: 2c8ee822ba8d51d4347e42e9093af25033afd91bcfc649a2993d7f9c6bec12dca0bed0c6cf307aafaed8425196e53912bdad958c8c7e02571592b2919f5956a6
Homepage: https://cran.r-project.org/package=PAMpal
Description: CRAN Package 'PAMpal' (Load and Process Passive Acoustic Data)
 Tools for loading and processing passive acoustic data. Read in data that
 has been processed in 'Pamguard' (<https://www.pamguard.org/>), apply a
 suite processing functions, and export data for reports or external modeling
 tools. Parameter calculations implement methods by Oswald et al (2007)
 <doi:10.1121/1.2743157>, Griffiths et al (2020) <doi:10.1121/10.0001229> and
 Baumann-Pickering et al (2010) <doi:10.1121/1.3479549>.

Package: r-cran-pampe
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaps
Filename: pool/dists/focal/main/r-cran-pampe_1.1.2-1.ca2004.1_all.deb
Size: 61004
MD5sum: 8245a3ff9efbb2d95c1b626c2f0bab78
SHA1: efb84d49e1a44b554071412305cb8716bcf7a24c
SHA256: dffca8fd2621af6eb79ed9156e2d678308a6c459e2ab690723513db1afe90d13
SHA512: 90e01982937cbe00ee2fcffd465449923004b3a412dfd7ce896de242d186bf78ddfd25d9104ab1e4d85aa601308f2b7063b0b43e5a13760a518d71779bbcc658
Homepage: https://cran.r-project.org/package=pampe
Description: CRAN Package 'pampe' (Implementation of the Panel Data Approach Method for ProgramEvaluation)
 Implements the Panel Data Approach Method for program evaluation as
 developed in Hsiao, Ching and Ki Wan (2012). pampe estimates the effect of
 an intervention by comparing the evolution of the outcome for a unit
 affected by an intervention or treatment to the evolution of the unit had it
 not been affected by the intervention.

Package: r-cran-pamr
Architecture: all
Version: 1.57-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-survival
Filename: pool/dists/focal/main/r-cran-pamr_1.57-1.ca2004.1_all.deb
Size: 662308
MD5sum: 53cadeae19603b0eb2b58626941fe86c
SHA1: ecb58e13241d6e514f36fe3ed5f0f45c3a10d74a
SHA256: 1f1fbf5e35be423aa3eb170b497b331d6155762b3045dbd9926c2b690ca3f24d
SHA512: 700906930a29ad17fd6ae6899b22af60bc351311b8e9fa245d458ac6bbe790ff73658a2e0692a2eb48b0bdfb1db32f652041f004e58539670f35e0343c1b7e1c
Homepage: https://cran.r-project.org/package=pamr
Description: CRAN Package 'pamr' (Pam: Prediction Analysis for Microarrays)
 Some functions for sample classification in microarrays.

Package: r-cran-pamscapes
Architecture: all
Version: 0.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1392
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-lubridate, r-cran-scales, r-cran-tidyr, r-cran-httr, r-cran-data.table, r-cran-geosphere, r-cran-sf, r-cran-pammisc, r-cran-ncdf4, r-cran-tdigest, r-cran-purrr, r-cran-shiny, r-cran-future.apply, r-cran-signal, r-cran-tuner, r-cran-dt
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pamscapes_0.14.0-1.ca2004.1_all.deb
Size: 1020012
MD5sum: 58eb4784f677327c8282faa381b5fa09
SHA1: b64238c192cb86e2f41f7297fcfae357cc25a889
SHA256: 28b43369e11d0d09b75c5b84f9d5613da48702af3181177f0e810a5d03e2c22e
SHA512: c8cfb2cd302f9632d07085956166abc3cdfece43c5a712a05a5be39afa7322745816526463757639f06ddc1dcedb4e7982f3d04669e81f7af5452bfee767059c
Homepage: https://cran.r-project.org/package=PAMscapes
Description: CRAN Package 'PAMscapes' (Tools for Summarising and Analysing Soundscape Data)
 A variety of tools relevant to the analysis of marine soundscape data. There
 are tools for downloading AIS (automatic identification system) data from
 Marine Cadastre <https://hub.marinecadastre.gov>, connecting AIS data to GPS
 coordinates, plotting summaries of various soundscape measurements, and
 downloading relevant environmental variables (wind, swell height) from the
 National Center for Atmospheric Research data server
 <https://rda.ucar.edu/datasets/ds084.1/>.  Most tools were developed to work
 well with output from 'Triton' software, but can be adapted to work with any
 similar measurements.

Package: r-cran-panalysis
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-coin
Filename: pool/dists/focal/main/r-cran-panalysis_2.0-1.ca2004.1_all.deb
Size: 58264
MD5sum: a9e99888330c824379f0de1a62c840ec
SHA1: 1a8c80457c8ca0be04cae3eafa3525c2992a7f7f
SHA256: 0a81d18dea96f0ae60f61dba4c9e9d0524f5b50dd859ec44ca2bd3cabe941720
SHA512: 30a7997c1464b50b15cae1301db7791b0705ecc18736488a9b5a27704ce7093f9252195323014ce8405ad6fea4498cc41936feac70c0096a8b088cd35518b3ea
Homepage: https://cran.r-project.org/package=pAnalysis
Description: CRAN Package 'pAnalysis' (Benchmarking and Rescaling R2 using Noise Percentile Analysis)
 Provides the tools needed to benchmark the R2 value corresponding to a
 certain acceptable noise level while also providing a rescaling function
 based on that noise level yielding a new value of R2 we refer to as R2k
 which is independent of both the number of degrees of freedom and the noise
 distribution function.

Package: r-cran-pancanvarsel
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-smoothmest, r-cran-msm
Filename: pool/dists/focal/main/r-cran-pancanvarsel_0.0.3-1.ca2004.1_all.deb
Size: 75256
MD5sum: 942a8063bc2f716947a9b276277a4e52
SHA1: d17ebc2b64d1ccd82cba4b4627832265cc069582
SHA256: 4f2cc32fb7894381eb0ea0ac498af73e6f438a84f06aaf58360fafbc9caae144
SHA512: 7d5e73890c2d3703d83c3d31206dcebc885a943b682739b1587f9a6ba3cb2b1b56791336b73d356ed3d44c678b5762f6ff89bc3176c0b4959641679540fca3fe
Homepage: https://cran.r-project.org/package=PanCanVarSel
Description: CRAN Package 'PanCanVarSel' (Pan-Cancer Variable Selection)
 Provides function for performing Bayesian survival regression using
 Horseshoe prior in the accelerated failure time model with log normal
 assumption in order to achieve high dimensional pan-cancer variable
 selection as developed in Maity et. al. (2019) <doi:10.1111/biom.13132>.

Package: r-cran-pandemics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pandemics_0.1.0-1.ca2004.1_all.deb
Size: 81360
MD5sum: 3b84da7444924edd8133714a567218a7
SHA1: 42dd206e9eef81049ebbabb44dcb40e4253c6757
SHA256: e7fdeefd1325740586e2c1f8ba49912f0bdd527763f9859ef5a0c8d0f60d239f
SHA512: d487496d8ae21ad4753a2ed0549f615681381d43c96813f4e296297fef443e3a04c68666a0cbdf45920a208028b3f1cdb06b4baac68fa56d32bdef617b1707cb
Homepage: https://cran.r-project.org/package=pandemics
Description: CRAN Package 'pandemics' (Monitoring a Developing Pandemic with Available Data)
 Full dynamic system to describe and forecast the spread and the severity of
 a developing pandemic, based on available data. These data are number of
 infections, hospitalizations, deaths and recoveries notified each day. The
 system consists of three transitions, infection-infection,
 infection-hospital and hospital-death/recovery.  The intensities of these
 transitions are dynamic and estimated using non-parametric local linear
 estimators. The package can be used to provide forecasts and survival
 indicators such as the median time spent in hospital and the probability
 that a patient who has been in hospital for a number of days can leave it
 alive. Methods are described in Gámiz, Mammen, Martínez-Miranda, and Nielsen
 (2024) <doi:10.48550/arXiv.2308.09918> and <doi:10.48550/arXiv.2308.09919>.

Package: r-cran-pandoc
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fs, r-cran-rappdirs, r-cran-rlang
Suggests: r-cran-covr, r-cran-gh, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pandoc_0.2.0-1.ca2004.1_all.deb
Size: 147476
MD5sum: c5b03def8838d452339a6fbac3611b80
SHA1: 402505694bf1156c0273608adef0fa8da9ab0f3c
SHA256: ab12a2302d7303ef0b4d4bf7162e8fb8ca2a451a317449a964d2a72164233eec
SHA512: 3c581402399505deda71e75ab51bf307e3419177c6fc332b22e63b15d58edf4a216c5ea9de4f242088064ec8627ae6b8bba49433992eb480b478c779613311bc
Homepage: https://cran.r-project.org/package=pandoc
Description: CRAN Package 'pandoc' (Manage and Run Universal Converter 'Pandoc' from 'R')
 Provides a set of tools to install, manage and run several 'Pandoc'
 versions.

Package: r-cran-pandocfilters
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pandocfilters_0.1-6-1.ca2004.1_all.deb
Size: 246752
MD5sum: dcf7e37c5329e679087649c0b7463ea8
SHA1: 9adab6ea024f936484030f8417b61f1bc21024d3
SHA256: dfd7df11c385fe88fc4b7f1934996e5c2a36662eb7931ad9d9a43002fad7dd3d
SHA512: decbdeaa62314e43dfdb3b104ed1f69a9ce5d246254ad158599e046b43b0d53e760f4d5d54b1af2538f3df8adf336ec9ca2f0fd10122ba660424469f59fa58d9
Homepage: https://cran.r-project.org/package=pandocfilters
Description: CRAN Package 'pandocfilters' (Pandoc Filters for R)
 The document converter 'pandoc' <https://pandoc.org/> is widely used in the
 R community. One feature of 'pandoc' is that it can produce and consume
 JSON-formatted abstract syntax trees (AST). This allows to transform a given
 source document into JSON-formatted AST, alter it by so called filters and
 pass the altered JSON-formatted AST back to 'pandoc'. This package provides
 functions which allow to write such filters in native R code.  Although this
 package is inspired by the Python package 'pandocfilters'
 <https://github.com/jgm/pandocfilters/>, it provides additional convenience
 functions which make it simple to use the 'pandocfilters' package as a
 report generator. Since 'pandocfilters' inherits most of it's functionality
 from 'pandoc' it can create documents in many formats (for more information
 see <https://pandoc.org/>) but is also bound to the same limitations as
 'pandoc'.

Package: r-cran-pandora
Architecture: all
Version: 24.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-curl, r-cran-jsonlite, r-cran-magrittr, r-cran-openxlsx, r-cran-readods, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-yaml
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pandora_24.2.0-1.ca2004.1_all.deb
Size: 69012
MD5sum: 98698c020c6cf6fd11d91023ce411b5b
SHA1: a0992176261f11202a1f9208cb510c40f6ec681f
SHA256: d762420ecaac102988a5e4f9e890619c61e5aad26e3cd4aff2b9a389726b0bbf
SHA512: 25aa5482e7f5298f587ced3631346bb46ccfbf00c97fdbe6c9546e5f652a80f5cc34417f2d44de75eeab449228e528d53473994f9c58e1577413c85ac8057769
Homepage: https://cran.r-project.org/package=Pandora
Description: CRAN Package 'Pandora' (Retrieve Data using the API of the 'Pandora' Data Platform)
 API wrapper that contains functions to retrieve data from the 'Pandora'
 databases. Web services for API: <https://pandora.earth/>.

Package: r-cran-panelaggregation
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-panelaggregation_0.1.1-1.ca2004.1_all.deb
Size: 149208
MD5sum: a1178da79d39ab4d95e582afdec17925
SHA1: 2b031f6dba52a87c902810b6d05c0af225b3c0ed
SHA256: 21364a5825b9ff94c1434570f8bc971432b968fa07dd3082ee59a40cb662756f
SHA512: 1c9e5dac80f3a557f03cdef0f6f4076518420f358252a654742c0708fd0d7bd727346f6c19a5fda7439e49e956c831ac5029b7ce49c373c79673befc12d84dff
Homepage: https://cran.r-project.org/package=panelaggregation
Description: CRAN Package 'panelaggregation' (Aggregate Longitudinal Survey Data)
 Aggregate Business Tendency Survey Data (and other qualitative surveys) to
 time series at various aggregation levels. Run aggregation of survey data in
 a speedy, re-traceable and a easily deployable way.  Aggregation is
 substantially accelerated by use of data.table.  This package intends to
 provide an interface that is less general and abstract than data.table but
 rather geared towards survey researchers.

Package: r-cran-paneldata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paneldata_1.0-1.ca2004.1_all.deb
Size: 26932
MD5sum: 2fe119c71c28d6888fab15a6d727a339
SHA1: ca749d2b3e1444bfebee15d68441f9216cb248ea
SHA256: 3bc202286095a852042f51345b9557bef28d6eeeab2101bb1253a663af93b0e0
SHA512: d7cc70951b13df4f0223fd59e6bd78e9fdd07ae65da12cc891e6afdb93d1a38861d5c9c6301adc37f6389bec092ee961ab0ae355bfe4228fb612e636022326b3
Homepage: https://cran.r-project.org/package=Paneldata
Description: CRAN Package 'Paneldata' (Linear models for panel data)
 Linear models for panel data: the fixed effect model and the random effect
 model

Package: r-cran-panelhetero
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-kernsmooth, r-cran-rearrangement
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-panelhetero_1.0.1-1.ca2004.1_all.deb
Size: 223512
MD5sum: 775576216eb8eb09b61263a595dfd6fa
SHA1: efd18b57371ef334b50a546fbb1b0bf692405637
SHA256: 78291b5faa45ca61ad75ace2e43cc54f16af9e27d07cf46a243a6f8226762328
SHA512: 1c714959cb6b0386c69abfeae12d79fd25b387fb72a0b9ea41fbc138fe95df057b2c43b64ff72fb68d6ffe906ae0a7de90013069473741eb6415dac5702441ac
Homepage: https://cran.r-project.org/package=panelhetero
Description: CRAN Package 'panelhetero' (Panel Data Analysis with Heterogeneous Dynamics)
 Understanding the dynamics of potentially heterogeneous variables is
 important in statistical applications.  This package provides tools for
 estimating the degree of heterogeneity across cross-sectional units in the
 panel data analysis.  The methods are developed by Okui and Yanagi (2019)
 <doi:10.1016/j.jeconom.2019.04.036> and Okui and Yanagi (2020)
 <doi:10.1093/ectj/utz019>.

Package: r-cran-panelpomp
Architecture: all
Version: 1.5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1984
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pomp, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-panelpomp_1.5.0.0-1.ca2004.1_all.deb
Size: 1052724
MD5sum: 5dd8308062f1eb7ab35034e355a0e649
SHA1: 1d60c48e1a0d06164746de73fc844a682c07885d
SHA256: 0fe178805bfb35f74d879fcb7d69bb1fdd0ae70d12b6b53b54562b3b0829cff3
SHA512: e0b868aedd2e7650ea93a232f2800f890de12b410d15c649128258e7b17d2164f4acd6fc91f5aa98f605d47dfa3b504ac88548ae31c982dc44985a9705f71fc6
Homepage: https://cran.r-project.org/package=panelPomp
Description: CRAN Package 'panelPomp' (Inference for Panel Partially Observed Markov Processes)
 Data analysis based on panel partially-observed Markov process (PanelPOMP)
 models. To implement such models, simulate them and fit them to panel data,
 'panelPomp' extends some of the facilities provided for time series data by
 the 'pomp' package. Implemented methods include filtering (panel particle
 filtering) and maximum likelihood estimation (Panel Iterated Filtering) as
 proposed in Breto, Ionides and King (2020) "Panel Data Analysis via
 Mechanistic Models" <doi:10.1080/01621459.2019.1604367>.

Package: r-cran-panelr
Architecture: all
Version: 0.7.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1618
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-crayon, r-cran-dplyr, r-cran-formula, r-cran-ggplot2, r-cran-jtools, r-cran-lmertest, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-brms, r-cran-broom.mixed, r-cran-car, r-cran-clubsandwich, r-cran-geepack, r-cran-generics, r-cran-nlme, r-cran-plm, r-cran-sandwich, r-cran-skimr, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-panelr_0.7.8-1.ca2004.1_all.deb
Size: 845544
MD5sum: 4779149603f7b801c0cb850cad0e91cf
SHA1: 0dd46845de5ed0756452ca2e538066c447c90fce
SHA256: c68d7d03aff7c86b432e7f1095dccfb9e8b2379cced4be06c81f3e9a271bb716
SHA512: f1d8fe1eb47d106eeb6ca3ee6fbc2324987131d8846c208c829459f4af7095b89588e897e14ab0566467a810b3693fad06b3370c0d58c3a4e94edec79d7d7f58
Homepage: https://cran.r-project.org/package=panelr
Description: CRAN Package 'panelr' (Regression Models and Utilities for Repeated Measures and PanelData)
 Provides an object type and associated tools for storing and wrangling panel
 data. Implements several methods for creating regression models that take
 advantage of the unique aspects of panel data. Among other capabilities,
 automates the "within-between" (also known as "between-within" and "hybrid")
 panel regression specification that combines the desirable aspects of both
 fixed effects and random effects econometric models and fits them as
 multilevel models (Allison, 2009 <doi:10.4135/9781412993869.d33>; Bell &
 Jones, 2015 <doi:10.1017/psrm.2014.7>). These models can also be estimated
 via generalized estimating equations (GEE; McNeish, 2019
 <doi:10.1080/00273171.2019.1602504>) and Bayesian estimation is (optionally)
 supported via 'Stan'.  Supports estimation of asymmetric effects models via
 first differences (Allison, 2019 <doi:10.1177/2378023119826441>) as well as
 a generalized linear model extension thereof using GEE.

Package: r-cran-panelsummary
Architecture: all
Version: 0.1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 955
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-fixest, r-cran-kableextra, r-cran-modelsummary, r-cran-rlang, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-gt, r-cran-knitr, r-cran-parameters, r-cran-performance, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-panelsummary_0.1.2.1-1.ca2004.1_all.deb
Size: 673028
MD5sum: 509f47aa825623715932beb637ba8b81
SHA1: 0eba76f20790041d10c2e0f5a5afdb09ccd3a630
SHA256: 2ae57d36ef3c9783d2ef39b79c977cd19fb9636741545a9b52814d46b12b0b49
SHA512: a9dda41ba1efce6b996e76a5bf4984cc62cbe353fe2c66985b16381fc6a9997ad74d9e8d6201b1fa361e7ab7f93c1b7e17d9f03ec30c1ea740cf45bbb408325d
Homepage: https://cran.r-project.org/package=panelsummary
Description: CRAN Package 'panelsummary' (Create Publication-Ready Regression Tables with Panels)
 Create an automated regression table that is well-suited for models that are
 estimated with multiple dependent variables. 'panelsummary' extends
 'modelsummary' (Arel-Bundock, V. (2022) <doi:10.18637/jss.v103.i01>) by
 allowing regression tables to be split into multiple sections with a simple
 function call. Utilize familiar arguments such as fmt, estimate, statistic,
 vcov, conf_level, stars, coef_map, coef_omit, coef_rename, gof_map, and
 gof_omit from 'modelsummary' to clean the table, and additionally, add a row
 for the mean of the dependent variable without external manipulation.

Package: r-cran-panelsur
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-formula.tools, r-cran-plm, r-cran-matlib, r-cran-fastmatrix
Filename: pool/dists/focal/main/r-cran-panelsur_0.1.0-1.ca2004.1_all.deb
Size: 72956
MD5sum: 6240410d81289712038b03e7cd4d0060
SHA1: 5a3334fc79bb196ac9face3e175060dc3491f382
SHA256: 016f6697a0aa1000470123452c7d2a6d1351276b0a0cf9188ed2f45c493dd58a
SHA512: 87a7df44272df493f5fc9bc72f73d3fe293275df372cd906217c962a3bc9546e7fae7dae4b18dcd0cbcf8eda44230065bcc086fbca5b40ff290d1ebec1dc044c
Homepage: https://cran.r-project.org/package=panelSUR
Description: CRAN Package 'panelSUR' (Two-Way Error Component SUR Systems Estimation on UnbalancedPanel Data)
 Generalized Least Squares (GLS) estimation of Seemingly Unrelated Regression
 (SUR) systems on unbalanced panel in the one/two-way cases also taking into
 account the possibility of cross equation restrictions.  Methodological
 details can be found in Biørn (2004) <doi:10.1016/j.jeconom.2003.10.023> and
 Platoni, Sckokai, Moro (2012) <doi:10.1080/07474938.2011.607098>.

Package: r-cran-paneltm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-paneltm_1.0-1.ca2004.1_all.deb
Size: 138720
MD5sum: 10984a1bbf72fda57117b8766b64646e
SHA1: 293ac35b5aa00d0de4fa9afc38466654203d86a4
SHA256: 7febf8cb0e0d85b391bb422211b5874237e86077b0af2f4bfea1bc084fcc271c
SHA512: a1989fb890294ee080eb23df1bb2c9982ba4f1189807c72b939bf839ebdaebae3a4d835a5c8be473d674c80b5bffee66840587364585534742d42f14135ef741
Homepage: https://cran.r-project.org/package=PanelTM
Description: CRAN Package 'PanelTM' (Two- And Three-Way Dynamic Panel Threshold Regression Model forChange Point Detection)
 Estimation of two- and three-way dynamic panel threshold regression models
 (Di Lascio and Perazzini (2024) <https://repec.unibz.it/bemps104.pdf>; Di
 Lascio and Perazzini (2022, ISBN:978-88-9193-231-0); Seo and Shin (2016)
 <doi:10.1016/j.jeconom.2016.03.005>) through the generalized method of
 moments based on the first difference transformation and the use of
 instrumental variables. The models can be used to find a change point
 detection in the time series. In addition, random number generation is also
 implemented.

Package: r-cran-panelvar
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2694
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-mass, r-cran-matrix, r-cran-progress, r-cran-matrixcalc, r-cran-texreg, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-panelvar_0.5.6-1.ca2004.1_all.deb
Size: 2637468
MD5sum: 4737a6bc397584b6db51edfb32cef2c0
SHA1: 206d1dd3475f39552d81692722f7d7e3d16b064c
SHA256: d79964d942c81adf002cc004680e2373c6f4959bbbfe060bf7ef37bc69374d93
SHA512: 1f314c16814e3f213a6cfc1c1d85f4b3956653b8dd436b9ddc3a02e1b9e67442cbd94bc75ed469659c9d70a30296915ab20701bf7b8833f63c93c03b71827b71
Homepage: https://cran.r-project.org/package=panelvar
Description: CRAN Package 'panelvar' (Panel Vector Autoregression)
 We extend two general methods of moment estimators to panel vector
 autoregression models (PVAR) with p lags of endogenous variables,
 predetermined and strictly exogenous variables. This general PVAR model
 contains the first difference GMM estimator by Holtz-Eakin et al. (1988)
 <doi:10.2307/1913103>, Arellano and Bond (1991) <doi:10.2307/2297968> and
 the system GMM estimator by Blundell and Bond (1998)
 <doi:10.1016/S0304-4076(98)00009-8>. We also provide specification tests
 (Hansen overidentification test, lag selection criterion and stability test
 of the PVAR polynomial) and classical structural analysis for PVAR models
 such as orthogonal and generalized impulse response functions, bootstrapped
 confidence intervals for impulse response analysis and forecast error
 variance decompositions.

Package: r-cran-panelview
Architecture: all
Version: 1.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-panelview_1.1.18-1.ca2004.1_all.deb
Size: 201268
MD5sum: e2223de407f95316a08cb7230c3a3084
SHA1: ec548d298d3eb4c6a854e36587084e31a76249f6
SHA256: 48e69c24151d61fdfe0b2d7b4065a048c87a651c97d27019a73b3dcb9f73e004
SHA512: 22d1d0d9fb0658b031211d63b184fa1893f6f7f6428a824621038f12b46bd6d175e95f34b7d00d1155c57cea64634da330687cc52e34aae37d57bccac832f86b
Homepage: https://cran.r-project.org/package=panelView
Description: CRAN Package 'panelView' (Visualizing Panel Data)
 Visualizes panel data. It has three main functionalities: (1) it plots the
 treatment status and missing values in a panel dataset; (2) it visualizes
 the temporal dynamics of a main variable of interest; (3) it depicts the
 bivariate relationships between a treatment variable and an outcome variable
 either by unit or in aggregate. For details, see
 <doi:10.18637/jss.v107.i07>.

Package: r-cran-panelwranglr
Architecture: all
Version: 1.2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-hmisc, r-cran-caret
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-panelwranglr_1.2.13-1.ca2004.1_all.deb
Size: 39660
MD5sum: 36b29e212af1a0e9db7c1e25fcda9064
SHA1: 171a255cf008bbab9c0b7bcf9b13a454f3de7216
SHA256: e3c0b883432f9a38d9435e7822710178d402231e8aac8751aa78efc89d4ca176
SHA512: 0b917b45a6efe1c4ccafd2b2f04c4c153929924263cb71839b226a43f808d4f77d735d56e295a98dffa074768fa1a6e1ba5a78bfd92fa60c044b8b486fe86609
Homepage: https://cran.r-project.org/package=panelWranglR
Description: CRAN Package 'panelWranglR' (Panel Data Wrangling Tools)
 Leading/lagging a panel, creating dummy variables, taking panel differences,
 looking for panel autocorrelations, and more. Implemented via a 'data.table'
 back end.

Package: r-cran-pangaear
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-xml2, r-cran-oai, r-cran-tibble, r-cran-hoardr, r-cran-png
Suggests: r-cran-knitr, r-cran-testthat, r-cran-vcr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-pangaear_1.1.0-1.ca2004.1_all.deb
Size: 86112
MD5sum: 670940193c7c0e5f1d658fb01efb991f
SHA1: 3cc06f5f96d57578b2a6cce84e481ab408e7e311
SHA256: c937ba1922c08c3c9be7fbd0d13a485caa1b09e20bfe3dcc9a73b1706edd43a5
SHA512: 29f7fda78d9ebeb21730ad432f15a3fd87e5ef25d002034c087143162f40ae9fa5c36034b9e2c53f5a69adcf01d1fcf4d429be3563f66cebeb4672fa1d198f6f
Homepage: https://cran.r-project.org/package=pangaear
Description: CRAN Package 'pangaear' (Client for the 'Pangaea' Database)
 Tools to interact with the 'Pangaea' Database (<https://www.pangaea.de>),
 including functions for searching for data, fetching 'datasets' by 'dataset'
 'ID', and working with the 'Pangaea' 'OAI-PMH' service.

Package: r-cran-pangoling
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cachem, r-cran-data.table, r-cran-memoise, r-cran-reticulate, r-cran-rstudioapi, r-cran-tidyselect, r-cran-tidytable
Suggests: r-cran-brms, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tictoc, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pangoling_1.0.3-1.ca2004.1_all.deb
Size: 793304
MD5sum: 3d52cb98519d6e06080c77ae12929b9f
SHA1: 5972d03f8d822c3c339e31f940ca7df049694048
SHA256: 192f10217a1be14361327ee8f0c10e8c1ae4cea3cf4b6621fd7cfecb77f98753
SHA512: 3f61962fa850638b0a016c68b4acb345cfd06507a695b965154e75f61c67b96603f32d4d1e6a3a152371ae2fa25e25b9ce52982593b92770cddb6e006dd5143f
Homepage: https://cran.r-project.org/package=pangoling
Description: CRAN Package 'pangoling' (Access to Large Language Model Predictions)
 Provides access to word predictability estimates using large language models
 (LLMs) based on 'transformer' architectures via integration with the
 'Hugging Face' ecosystem <https://huggingface.co/>. The package interfaces
 with pre-trained neural networks and supports both causal/auto-regressive
 LLMs (e.g., 'GPT-2') and masked/bidirectional LLMs (e.g., 'BERT') to compute
 the probability of words, phrases, or tokens given their linguistic context.
 For details on GPT-2 and causal models, see Radford et al. (2019)
 <https://storage.prod.researchhub.com/uploads/papers/2020/06/01/language-models.pdf>,
 for details on BERT and masked models, see Devlin et al. (2019)
 <doi:10.48550/arXiv.1810.04805>. By enabling a straightforward estimation of
 word predictability, the package facilitates research in psycholinguistics,
 computational linguistics, and natural language processing (NLP).

Package: r-cran-panjen
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-panjen_1.6-1.ca2004.1_all.deb
Size: 74204
MD5sum: 988af42941801e09a6661b29d0b9cdd6
SHA1: a7bf23e3b26b95335c1a42608c6275ddcfcc88c3
SHA256: bc34f47a56c9cc3e640dfa69a6aaf5eda54a9c976a2b389eed3be26ce33dee78
SHA512: cdc5a638af1b0fc2ee467fc638f25f09f8c4e55f4cd45de2836c2718c2b7d20010b3056ec00f1bb9a93ccb305ceb144432c1807c0d5a590829c4bfea0d1bed17
Homepage: https://cran.r-project.org/package=PanJen
Description: CRAN Package 'PanJen' (A Semi-Parametric Test for Specifying Functional Form)
 A central decision in a parametric regression is how to specify the relation
 between an dependent variable and each explanatory variable. This package
 provides a semi-parametric tool for comparing different transformations of
 an explanatory variables in a parametric regression. The functions is
 relevant in a situation, where you would use a box-cox or Box-Tidwell
 transformations.  In contrast to the classic power-transformations, the
 methods in this package allows for theoretical driven user input and the
 possibility to compare with a non-parametric transformation.

Package: r-cran-pannotator
Architecture: all
Version: 1.0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2434
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-colourpicker, r-cran-config, r-cran-configr, r-cran-dplyr, r-cran-exiftoolr, r-cran-geojsonsf, r-cran-ggplot2, r-cran-golem, r-cran-htmlwidgets, r-cran-jpeg, r-cran-jsonify, r-cran-jsonlite, r-cran-leaflet, r-cran-leaflet.extras, r-cran-leafpm, r-cran-magrittr, r-cran-readr, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyhelper, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pannotator_1.0.0.4-1.ca2004.1_all.deb
Size: 1815352
MD5sum: e3a6a28aeb364cb796514d3cfa98cd16
SHA1: 9ae2b7890b92282a76ac943dc99bafc04c0902b3
SHA256: 0161ec51582cc1a67822e0ea6b17cc9705d4eb353d1bd77a90f2f8538be5522c
SHA512: 5d8af4927efdc4505deee9a26148dd673f65ea56528baf81ff839ef0cfa31847aeeb45a713a1e42439e48415daeeac5561f64bc72318d90b360671099dcb8a6b
Homepage: https://cran.r-project.org/package=pannotator
Description: CRAN Package 'pannotator' (Visualisation and Annotation of 360 Degree Imagery)
 Provides a customisable R 'shiny' app for immersively visualising, mapping
 and annotating panospheric (360 degree) imagery.  The flexible interface
 allows annotation of any geocoded images using up to 4 user specified
 dropdown menus. The app uses 'leaflet' to render maps that display the
 geo-locations of images and panellum <https://pannellum.org/>, a lightweight
 panorama viewer for the web, to render images in virtual 360 degree viewing
 mode. Key functions include the ability to draw on & export parts of 360
 images for downstream applications. Users can also draw polygons and points
 on map imagery related to the panoramic images and export them for further
 analysis. Downstream applications include using annotations to train
 Artificial Intelligence/Machine Learning (AI/ML) models and geospatial
 modelling and analysis of camera based survey data.

Package: r-cran-panstarrs
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bit64, r-cran-checkmate, r-cran-curl, r-cran-data.table, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magick, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-panstarrs_0.2.2-1.ca2004.1_all.deb
Size: 357340
MD5sum: 9910a24b56036c729fbe5abbab9fff59
SHA1: 90f8af887fddf0c84ff453dcb0be6f4a7b5308b4
SHA256: c29cffe683010d276e43ffc74d915a01e434906aa4f69782dd28c37fd2697d66
SHA512: 5dfc4c839121a71d9f636bc388e2ed8b1e9616ff03132cb04a5c41ff017d7afaff21c126b2678c4693a8f3a5aa6956f25e4f6c4854f609250692b68a85040f56
Homepage: https://cran.r-project.org/package=panstarrs
Description: CRAN Package 'panstarrs' (Interface to the Pan-STARRS API)
 An interface to the API for 'Pan-STARRS1', a data archive of the PS1
 wide-field astronomical survey.  The package allows access to the PS1
 catalog and to the PS1 images.  (see
 <https://outerspace.stsci.edu/display/PANSTARRS/> for more information).
 You can use it to plan astronomical observations, make guidance pictures,
 find magnitudes in five broadband filters (g, r, i, z, y) and more.

Package: r-cran-pantarhei
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1097
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pantarhei_0.1.2-1.ca2004.1_all.deb
Size: 550416
MD5sum: bf428fb0fbd0c8be6020090f37d9f20c
SHA1: 34876addcd8289ac52059b2110d0fe58754544d2
SHA256: 837ebb5f68a24ef01d474370282406d0127a812607c330e7b56c965892a5cf24
SHA512: 40a1e4432ff16e53004847dab4939239b1419ebe71351b4df9419723dd5713ca7b90daf6fa56813c5c82e15dc328269129b0406b873bda62968087fb679d35dc
Homepage: https://cran.r-project.org/package=PantaRhei
Description: CRAN Package 'PantaRhei' (Plots Sankey Diagrams)
 Sankey diagrams are a powerfull and visually attractive way to visualize the
 flow of conservative substances through a system.  They typically consists
 of a network of nodes, and fluxes between them, where the total balance in
 each internal node is 0, i.e. input equals output.  Sankey diagrams are
 typically used to display energy systems, material flow accounts etc.
 Unlike so-called alluvial plots, Sankey diagrams also allow for cyclic
 flows: flows originating from a single node can, either direct or indirect,
 contribute to the input of that same node.  This package, named after the
 Greek aphorism Panta Rhei (everything flows), provides functions to create
 publication-quality diagrams, using data in tables (or spread sheets) and a
 simple syntax.

Package: r-cran-papaja
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tinylabels, r-cran-bookdown, r-cran-broom, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-rmdfiltr, r-cran-yaml, r-cran-zip
Suggests: r-cran-afex, r-cran-bayesfactor, r-cran-beeswarm, r-cran-boot, r-cran-car, r-cran-dplyr, r-cran-effectsize, r-cran-emmeans, r-cran-ggforce, r-cran-ggplot2, r-cran-latex2exp, r-cran-lme4, r-cran-lmertest, r-cran-mass, r-cran-mbess, r-cran-multcomp, r-cran-nlme, r-cran-nnet, r-cran-r.rsp, r-cran-skimr, r-cran-spelling, r-cran-testthat, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-papaja_0.1.3-1.ca2004.1_all.deb
Size: 1192020
MD5sum: bd357b8131a2c8e0ae8576b51d438ee6
SHA1: ca620bd8ba670b63c04a7ce4c0d1b86cdac40aeb
SHA256: 3d75b57370ea9e503cdd024e33aac027ac0fdf8883f9baf43de28685680f3567
SHA512: 354b70a187d15b5e3abb79c605df9f29123d7a7120f9dd513bc8b44314b81e26c6d527a0d9208c28167569c68194660d483edc87f882663d67c3fce892572b15
Homepage: https://cran.r-project.org/package=papaja
Description: CRAN Package 'papaja' (Prepare American Psychological Association Journal Articles withR Markdown)
 Tools to create dynamic, submission-ready manuscripts, which conform to
 American Psychological Association manuscript guidelines. We provide R
 Markdown document formats for manuscripts (PDF and Word) and revision
 letters (PDF). Helper functions facilitate reporting statistical analyses or
 create publication-ready tables and plots.

Package: r-cran-papci
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyverse, r-cran-binom, r-cran-propcis, r-cran-ratesci, r-cran-hmisc, r-cran-shiny, r-cran-shinythemes, r-cran-readxl, r-cran-dt
Filename: pool/dists/focal/main/r-cran-papci_0.1.0-1.ca2004.1_all.deb
Size: 54036
MD5sum: 2827b45e73daba88646fde0faa3bc2ba
SHA1: da89c9834fce99ff8258f626de08584b805c6928
SHA256: 3aab7c194de4cb6ffd32fc228ec359667757c4f2c6aa743f00251595ad98c302
SHA512: 19eda17d4d7aa3d531e4d14de2b7c780f6ef388d9e5fcdd52689ef6a9e36b735c90362c935ce2a283423cdd5540adba61fd596cd976a8623c7235663e8b31a22
Homepage: https://cran.r-project.org/package=papci
Description: CRAN Package 'papci' (Prevalence Adjusted PPV Confidence Interval)
 Positive predictive value (PPV) defined as the conditional probability of
 clinical trial assay (CTA) being positive given Companion diagnostic device
 (CDx) being positive is a key performance parameter for evaluating the
 clinical validity utility of a companion diagnostic test in clinical
 bridging studies. When bridging study patients are enrolled based on CTA
 assay results, Binomial-based confidence intervals (CI) may are not
 appropriate for PPV CI estimation. Bootstrap CIs which are not restricted by
 the Binomial assumption may be used for PPV CI estimation only when PPV is
 not 100%. Bootstrap CI is not valid when PPV is 100% and becomes a single
 value of [1, 1]. We proposed a risk ratio-based method for constructing CI
 for PPV. By simulation we illustrated that the coverage probability of the
 proposed CI is close to the nominal value even when PPV is high and negative
 percent agreement (NPA) is close to 100%. There is a lack of R package for
 PPV CI calculation. we developed a publicly available R package along with
 this shiny app to implement the proposed approach and some other existing
 methods.

Package: r-cran-paper
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-xtable, r-cran-gmodels
Suggests: r-cran-nlme, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-paper_1.0-6-1.ca2004.1_all.deb
Size: 570852
MD5sum: c0d11d62960da7945d5c13bea337c626
SHA1: cae90e727d35ffcf3f521d0c08781e335eeb5d18
SHA256: 772ed49de10ec331ca28a4c896fbcad81edc00336ad3f0a960d205527328b7be
SHA512: 6594b8dfa33456416d8b507f8453092e45455edc0cbbd083392f4e7861243c6d722f144391aacdceb7379c3205239da8243756db0fbc6a7fb7c74f256c175244
Homepage: https://cran.r-project.org/package=papeR
Description: CRAN Package 'papeR' (A Toolbox for Writing Pretty Papers and Reports)
 A toolbox for writing 'knitr', 'Sweave' or other 'LaTeX'- or
 'markdown'-based reports and to prettify the output of various estimated
 models.

Package: r-cran-paperplanes
Architecture: all
Version: 0.0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paperplanes_0.0.1.9-1.ca2004.1_all.deb
Size: 15408
MD5sum: 91bb93703e874e39a7eaeddab59580ea
SHA1: 576e955b168905f0b46dbe0aef01918145c3ff0c
SHA256: 9c559a87088ea020bdc3dd3fd451d5fd7b367ea6ade9caf7fa455e8c2693e3e6
SHA512: 599f482ce623a755446e783f8e6880ad863ad5ce53eeb658ede0a756ffa39260f9d5d407800c7552b0cd55ac96c9e3ecdbdcfca9fdcfbc2b34b0b6b6b12a7e06
Homepage: https://cran.r-project.org/package=paperplanes
Description: CRAN Package 'paperplanes' (Distance Recordings from a Paper Plane Folding/Flying Experiment)
 This is a data only package, that provides distances from a paper plane
 experiment.

Package: r-cran-parabar
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2346
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-progress, r-cran-callr, r-cran-filelock
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-parabar_1.4.2-1.ca2004.1_all.deb
Size: 1826304
MD5sum: 7670d5d16208a8240c4b814e65066984
SHA1: e7fa66fed6e0c462b19eba4a35bb3c505d1a18a9
SHA256: b0209ae58c5b4c3ed0875bd068a2078edc8a52de38dfac3ad649d14c3a598f8c
SHA512: f076849e97f2b31ea8b4f7056265c1d7e683c3272440d2b4c09c0f12ff70458007469a5fae85ba08c8dbef66637a0c14e0ed61513b0073d694fb9400129e2c10
Homepage: https://cran.r-project.org/package=parabar
Description: CRAN Package 'parabar' (Progress Bar for Parallel Tasks)
 A simple interface in the form of R6 classes for executing tasks in
 parallel, tracking their progress, and displaying accurate progress bars.

Package: r-cran-parade
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-parade_0.1-1.ca2004.1_all.deb
Size: 23560
MD5sum: adc3007dbdb7b78fdad2ce8262af47a3
SHA1: 989ddfd37b1fe6398c3d3e78996c294f1a1857bd
SHA256: ce4acecae3e553dcbc7b1abfb7aabe97750afa851dbd14959f78c267041b6928
SHA512: ae0550018232583660aa6f5c2dcb30dda7012b2d3fece3bc344b79ff5e4b2862639c923c5daee0aa0e23c7837892d7eb1d81bf706791d5af79352539ea177a12
Homepage: https://cran.r-project.org/package=parade
Description: CRAN Package 'parade' (Pen's Income Parades)
 Tool for producing Pen's parade graphs, useful for visualizing inequalities
 in income, wages or other variables, as proposed by Pen (1971, ISBN:
 978-0140212594). Income or another economic variable is captured by the
 vertical axis, while the population is arranged in ascending order of income
 along the horizontal axis. Pen's income parades provide an easy-to-interpret
 visualization of economic inequalities.

Package: r-cran-paradox
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-checkmate, r-cran-data.table, r-cran-mlr3misc, r-cran-r6
Suggests: r-cran-rmarkdown, r-cran-mlr3learners, r-cran-e1071, r-cran-knitr, r-cran-lhs, r-cran-spacefillr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paradox_1.0.1-1.ca2004.1_all.deb
Size: 705400
MD5sum: ad591c5b313b7bd5d9970462951d0da2
SHA1: cb93fa8d582a2027e7bfde818235da5c146ae66e
SHA256: 34aaf0eccac79896192da9d8aaff6681a5a154bf5a0682c8aac2d64b7eb9dbda
SHA512: b247d11b88f18c2664f893d03c0db82e86e9ed06a25ea45d498f527a7e303defc1b5f6d310a8da0a523813ce56fe181c97fa68d5c88e4cc51cb942a1bb03440e
Homepage: https://cran.r-project.org/package=paradox
Description: CRAN Package 'paradox' (Define and Work with Parameter Spaces for Complex Algorithms)
 Define parameter spaces, constraints and dependencies for arbitrary
 algorithms, to program on such spaces. Also includes statistical designs and
 random samplers. Objects are implemented as 'R6' classes.

Package: r-cran-parafac4microbiome
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3586
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-compositions, r-cran-cowplot, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-ggpubr, r-cran-lifecycle, r-cran-magrittr, r-cran-mize, r-cran-multiway, r-cran-pracma, r-cran-rlang, r-cran-rtensor, r-cran-tidyr
Suggests: r-cran-knitr, r-bioc-phyloseq, r-cran-rmarkdown, r-bioc-microbiotaprocess, r-bioc-treesummarizedexperiment, r-bioc-summarizedexperiment, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-parafac4microbiome_1.2.1-1.ca2004.1_all.deb
Size: 2988292
MD5sum: 9654201087d8e60f9edbde9d271ac99c
SHA1: afc1a035180eb01efab2e2a89f065993a44fadd2
SHA256: 2ebf10874e47e9a066e71a39524c101ce762f2c8f998d0d89edec346bc9eb10c
SHA512: 87c750d2633cf8b104db87d20eebccdabaf1ba83e3d39675548c80613106c68f42d35efba72f49c58a59e800563c25bb31413fcf9200246d6927cabd7bfcca90
Homepage: https://cran.r-project.org/package=parafac4microbiome
Description: CRAN Package 'parafac4microbiome' (Parallel Factor Analysis Modelling of Longitudinal MicrobiomeData)
 Creation and selection of PARAllel FACtor Analysis (PARAFAC) models of
 longitudinal microbiome data. You can import your own data with our import
 functions or use one of the example datasets to create your own PARAFAC
 models. Selection of the optimal number of components can be done using
 assessModelQuality() and assessModelStability(). The selected model can then
 be plotted using plotPARAFACmodel(). The Parallel Factor Analysis method was
 originally described by Caroll and Chang (1970) <doi:10.1007/BF02310791> and
 Harshman (1970)
 <https://www.psychology.uwo.ca/faculty/harshman/wpppfac0.pdf>.

Package: r-cran-paralleldsm
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9098
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-snowfall, r-cran-raster, r-cran-sp, r-cran-pryr, r-cran-caret, r-cran-gstat, r-cran-quantregforest, r-cran-randomforest, r-cran-stringr, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-paralleldsm_0.3.7-1.ca2004.1_all.deb
Size: 3089232
MD5sum: 1097d0eceda7f440bce252f48e958116
SHA1: dfe72f086bdccf3430b420d9ff4abdd6966256a0
SHA256: cce1debe1e9cfed57564c93b57408f422889cdac0bd0b979495802e0e4190a9c
SHA512: 216f693af0ecb3a751eaf7a35cf0a3ed08af0d25c71d01ff6e87f9cc00ad660a1788ea2f184fb3f0d87c902ad80d00fe6ade852a6d8b0462c65ffabdac1fb11d
Homepage: https://cran.r-project.org/package=ParallelDSM
Description: CRAN Package 'ParallelDSM' (Parallel Digital Soil Mapping using Machine Learning)
 Parallel computing, multi-core CPU is used to efficiently compute and
 process multi-dimensional soil data.This package includes the parallelized
 'Quantile Regression Forests' algorithm for Digital Soil Mapping and is
 mainly dependent on the package 'quantregForest' and 'snowfall'.  Detailed
 references to the R package and the web site are described in the methods,
 as detailed in the method documentation.

Package: r-cran-parallellogger
Architecture: all
Version: 3.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-snow, r-cran-xml2, r-cran-jsonlite, r-cran-rstudioapi, r-cran-memuse
Suggests: r-cran-sendmailr, r-cran-testthat, r-cran-shiny, r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-parallellogger_3.4.2-1.ca2004.1_all.deb
Size: 587536
MD5sum: d8e0b56ec91e2e6f730afccd8597d6cf
SHA1: 1125381bfafd220d242c86bf94b8a99c5718534b
SHA256: 3d2eefba1110968ebf7b084f5f7b1c6b67adbb4421eb9685d28dbd83f37b2f32
SHA512: 5973ff5fd3ee19a3efbadb11569613fb24fd110274cb2f131c7cfea265afb5303d8982446f89fc7efa328962013467e7d8410993afdc1c6c25994526c9f1a045
Homepage: https://cran.r-project.org/package=ParallelLogger
Description: CRAN Package 'ParallelLogger' (Support for Parallel Computation, Logging, and FunctionAutomation)
 Support for parallel computation with progress bar, and option to stop or
 proceed on errors. Also provides logging to console and disk, and the
 logging persists in the parallel threads. Additional functions support
 function call automation with delayed execution (e.g. for executing
 functions in parallel).

Package: r-cran-parallelmap
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bbmisc, r-cran-checkmate
Suggests: r-cran-batchjobs, r-cran-batchtools, r-cran-data.table, r-cran-rmpi, r-cran-rpart, r-cran-snow, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-parallelmap_1.5.1-1.ca2004.1_all.deb
Size: 103892
MD5sum: 5a91cc3652b8ad67a5a21646c862b0dd
SHA1: 8ad8df1abe670f19ef3d2fdd16103f53da57e0ec
SHA256: b06646ead127b6c9e74ff77d8824c2d913672dd389b10b317f4407843ac89547
SHA512: f04a2ba69049a898a8a518265ad36312263444a7c4438a8cacc999ace2dec827709ce34253baeabac4757b41b3829e3ad4665d1443a62cebebfe01ad4d5f431c
Homepage: https://cran.r-project.org/package=parallelMap
Description: CRAN Package 'parallelMap' (Unified Interface to Parallelization Back-Ends)
 Unified parallelization framework for multiple back-end, designed for
 internal package and interactive usage.  The main operation is parallel
 mapping over lists.  Supports 'local', 'multicore', 'mpi' and 'BatchJobs'
 mode.  Allows tagging of the parallel operation with a level name that can
 be later selected by the user to switch on parallel execution for exactly
 this operation.

Package: r-cran-parallelmcmccombine
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-parallelmcmccombine_2.0-1.ca2004.1_all.deb
Size: 37588
MD5sum: 4934939eedadcbe2f94b4efc136f3c90
SHA1: 0a945abe387322cc248934ffa5ae77525bc049f7
SHA256: 3ac32d8f349559a6b07c4ce157e28138b5e5a0215c4a91dd3ce832ce99b7a4c1
SHA512: 6311b493708e33de042fa7f9c91b62ab71c094995a0ae61aa4c5c04a5195717490ac01357da1f86581b04cd181ede552ba080399b183270a155f32bc4a03d6a1
Homepage: https://cran.r-project.org/package=parallelMCMCcombine
Description: CRAN Package 'parallelMCMCcombine' (Combining Subset MCMC Samples to Estimate a Posterior Density)
 See Miroshnikov and Conlon (2014) <doi:10.1371/journal.pone.0108425>. Recent
 Bayesian Markov chain Monto Carlo (MCMC) methods have been developed for big
 data sets that are too large to be analyzed using traditional statistical
 methods. These methods partition the data into non-overlapping subsets, and
 perform parallel independent Bayesian MCMC analyses on the data subsets,
 creating independent subposterior samples for each data subset. These
 independent subposterior samples are combined through four functions in this
 package, including averaging across subset samples, weighted averaging
 across subsets samples, and kernel smoothing across subset samples. The four
 functions assume the user has previously run the Bayesian analysis and has
 produced the independent subposterior samples outside of the package; the
 functions use as input the array of subposterior samples. The methods have
 been demonstrated to be useful for Bayesian MCMC models including Bayesian
 logistic regression, Bayesian Gaussian mixture models and Bayesian
 hierarchical Poisson-Gamma models. The methods are appropriate for Bayesian
 hierarchical models with hyperparameters, as long as data values in a single
 level of the hierarchy are not split into subsets.

Package: r-cran-parallelml
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 605
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-parallelml_1.2-1.ca2004.1_all.deb
Size: 588880
MD5sum: 5337d14f5ce4e1689a605a6a05dd8f73
SHA1: da743e5ee4892428b1c52f636b14edd9cd9cdb1d
SHA256: 3749af1ff201143a6abc8332196cf8871c555a296b280b78efde571fabbc9591
SHA512: c2fba7cb5cab31fc5857499443d5c9f81c5f8b8727a4e19cdd705b66eb57363cbbf8590283c0027886113f5f05ef7f1013e7404dfe2785c5c71e93ec9c8ab944
Homepage: https://cran.r-project.org/package=parallelML
Description: CRAN Package 'parallelML' (A Parallel-Voting Algorithm for many Classifiers)
 By sampling your data, running the provided classifier on these samples in
 parallel on your own machine and letting your models vote on a prediction,
 we return much faster predictions than the regular machine learning
 algorithm and possibly even more accurate predictions.

Package: r-cran-parallelpc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bnlearn, r-cran-pcalg, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-parallelpc_1.2-1.ca2004.1_all.deb
Size: 147088
MD5sum: 595caf1806fffe45228520b7c68df541
SHA1: c714decdec400774f99a714ce46d755b051f19ec
SHA256: e0b8fee8ccb981ba049c0cd641aff4c58b57c2d063ce14eebfd185abe1f31e6b
SHA512: 361c18fe2915dd110b8d5a83cc2b628a70f9f3b6f34684617fdbc6395e9e556a7c81ff6277dda6b5ec75b4637898cba1b58288f8561a36acc5196dcc44841277
Homepage: https://cran.r-project.org/package=ParallelPC
Description: CRAN Package 'ParallelPC' (Paralellised Versions of Constraint Based Causal DiscoveryAlgorithms)
 Parallelise constraint based causality discovery and causal inference
 methods. The parallelised algorithms in the package will generate the same
 results as that of the 'pcalg' package but will be much more efficient.

Package: r-cran-parallelplot
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parallelplot_0.4.0-1.ca2004.1_all.deb
Size: 161068
MD5sum: e608b79ed1e73912f5e51cb1de5590f6
SHA1: 9e68c5ac644f80cc7d73099e574f7eb0320d9464
SHA256: 34d7639a023654486b6f11e8d01c355a75d8576bf5e6d0712beedfd674a9ac68
SHA512: 7c73a25db8d27816e900a16da00226604ed0129e1b7d6b9685285ea1c8787167dc46ee5f52769ad67a6a346fa86d27b6e55b1e04b224c83503608952c35f0ec3
Homepage: https://cran.r-project.org/package=parallelPlot
Description: CRAN Package 'parallelPlot' (`htmlwidget` for a Parallel Coordinates Plot)
 Create a parallel coordinates plot, using `htmlwidgets` package and `d3.js`.

Package: r-cran-param2moment
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sn
Filename: pool/dists/focal/main/r-cran-param2moment_0.1.3-1.ca2004.1_all.deb
Size: 156032
MD5sum: 3566ab3384b0f0bee99fce6130606a37
SHA1: 2aab5256ee8cba6cab09d8ff52ae52324a7abdcc
SHA256: e534a4f0198423dd29463b2c3595b8250574ff38b1ffd0ef37462c6c92e1c246
SHA512: c047995f2e445b05e71527b0e67a498c95fbd985dc2993a0b2d62512d8f19c49abcb494038dce1b2974e1bcd3c8afe5958ed13ba0203f3e82354127e77cf1955
Homepage: https://cran.r-project.org/package=param2moment
Description: CRAN Package 'param2moment' (Raw, Central and Standardized Moments of ParametricDistributions)
 To calculate the raw, central and standardized moments from distribution
 parameters. To solve the distribution parameters based on user-provided
 mean, standard deviation, skewness and kurtosis. Normal, skew-normal, skew-t
 and Tukey g-&-h distributions are supported, for now.

Package: r-cran-param6
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-dictionar6, r-cran-set6, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-param6_0.2.4-1.ca2004.1_all.deb
Size: 223264
MD5sum: 22baf6c285723bc0012187fab1bad09a
SHA1: 8a827f4248eae24246bc4b7575fb40186ca281be
SHA256: 7fa4a848c7857f0592d0fe24c4833f91c911a9ca80a89b35f5eb8d23ceaa198c
SHA512: 502ec0a18699af5285709869a88fb00f87084ebd33d8c4aa7f9ec16db83a633553896ffa0868c23ed0ae7c624639c13a98592f031787c499ca15e487511a709c
Homepage: https://cran.r-project.org/package=param6
Description: CRAN Package 'param6' (A Fast and Lightweight R6 Parameter Interface)
 By making use of 'set6', alongside the S3 and R6 paradigms, this package
 provides a fast and lightweight R6 interface for parameters and parameter
 sets.

Package: r-cran-paramanova
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mlr3misc, r-cran-rlang, r-cran-rstatix, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-paramanova_0.1.2-1.ca2004.1_all.deb
Size: 73668
MD5sum: c2348562ae0d8b738dcb1f5f47c93fa1
SHA1: e7786f2dd42bc84ddcf906a6b19bc19c39c0bf1d
SHA256: 68e318aca939567832f585eba2e1ceaf7fcb02e69f5f56bf90b432ca74aa2a21
SHA512: 5d7e525c05af8b8e0ab039704c31600f26c4e366f86ec61c0bd72489d2887629e6da1cb774563f4bb7d0112ba1a5bc89b092a72f4ab90ff60ce5ee933df9f60a
Homepage: https://cran.r-project.org/package=ParamANOVA
Description: CRAN Package 'ParamANOVA' (Fully Parameterizable ANOVA Tests)
 Allows the user to perform ANOVA tests (in a strict sense: continuous and
 normally-distributed Y variable and 1 or more factorial/categorical X
 variable(s)), with the possibility to specify the type of sum of squares (1,
 2 or 3), the types of variables (Fixed or Random) and their relationships
 (crossed or nested) with the sole function of the package
 (FullyParamANOVA()). The resulting outputs are the same as in 'SAS'
 software. A dataset (Butterfly) to test the function is also joined.

Package: r-cran-paramdemo
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-paramdemo_1.0.2-1.ca2004.1_all.deb
Size: 222468
MD5sum: cedcdbb5313369483da4fba043a865ce
SHA1: 06f9e12d62bfbefb356ab6b9f859016b9fc7cc41
SHA256: d191cda46fd4c1851c3cf2de45e8c023cb3f8674e97f5376377b3c497021ad8c
SHA512: 9c8cebc4950c4803a6b144aece9a63ad4928c8d0965a11a48aa5f7b4a2bf91fe45f5b0de5f93bc3c973f43f8e1108e7065befc8a384baa51c5c31b231b7551ce
Homepage: https://cran.r-project.org/package=paramDemo
Description: CRAN Package 'paramDemo' (Parametric and Non-Parametric Demographic Functions andApplications)
 Calculate parametric mortality and Fertility models, following packages
 'BaSTA' in Colchero, Jones and Rebke (2012)
 <doi:10.1111/j.2041-210X.2012.00186.x> and 'BaFTA'
 <https://github.com/fercol/BaFTA>, summary statistics (e.g. ageing rates,
 life expectancy, lifespan equality, etc.), life table and product limit
 estimators from census data.

Package: r-cran-parameters
Architecture: all
Version: 0.26.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2665
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-datawizard, r-cran-insight
Suggests: r-cran-aer, r-cran-afex, r-cran-aod, r-cran-bayesfactor, r-cran-bayesfm, r-cran-bbmle, r-cran-betareg, r-cran-bh, r-cran-biglm, r-cran-blme, r-cran-boot, r-cran-brglm2, r-cran-brms, r-cran-broom, r-cran-broom.mixed, r-cran-caic4, r-cran-car, r-cran-cardata, r-cran-cgam, r-cran-classdiscovery, r-cran-clubsandwich, r-cran-cluster, r-cran-cobalt, r-cran-coda, r-cran-coxme, r-cran-cplm, r-cran-curl, r-cran-dbscan, r-cran-did, r-cran-distributional, r-cran-domir, r-cran-drc, r-cran-drr, r-cran-effectsize, r-cran-eganet, r-cran-emmeans, r-cran-epir, r-cran-estimatr, r-cran-factoextra, r-cran-factominer, r-cran-faraway, r-cran-fastica, r-cran-fixest, r-cran-fpc, r-cran-gam, r-cran-gamlss, r-cran-gee, r-cran-geepack, r-cran-ggplot2, r-cran-glmmadaptive, r-cran-glmmtmb, r-cran-glmtoolbox, r-cran-gparotation, r-cran-gt, r-cran-haven, r-cran-httr2, r-cran-hmisc, r-cran-ivreg, r-cran-knitr, r-cran-lavaan, r-cran-lfe, r-cran-lm.beta, r-cran-lme4, r-cran-lmertest, r-cran-lmtest, r-cran-logistf, r-cran-logitr, r-cran-logspline, r-cran-lqmm, r-bioc-m3c, r-cran-marginaleffects, r-cran-modelbased, r-cran-mass, r-cran-matrix, r-cran-mclogit, r-cran-mclust, r-cran-mcmcglmm, r-cran-mediation, r-cran-merderiv, r-cran-metabma, r-cran-metafor, r-cran-mfx, r-cran-mgcv, r-cran-mice, r-cran-mmrm, r-cran-multcomp, r-cran-mumin, r-cran-nbclust, r-cran-nfactors, r-cran-nestedlogit, r-cran-nlme, r-cran-nnet, r-cran-openxlsx, r-cran-ordinal, r-cran-panelr, r-cran-pbkrtest, r-cran-pcdimension, r-cran-performance, r-cran-plm, r-cran-pmcmrplus, r-cran-poorman, r-cran-posterior, r-cran-proreg, r-cran-pscl, r-cran-psych, r-cran-pvclust, r-cran-quantreg, r-cran-randomforest, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rms, r-cran-rstan, r-cran-rstanarm, r-cran-sandwich, r-cran-see, r-cran-serp, r-cran-sparsepca, r-cran-survey, r-cran-survival, r-cran-svylme, r-cran-testthat, r-cran-tidyselect, r-cran-tinytable, r-cran-tmb, r-cran-truncreg, r-cran-vdiffr, r-cran-vgam, r-cran-weightit, r-cran-withr, r-cran-wrs2
Filename: pool/dists/focal/main/r-cran-parameters_0.26.0-1.ca2004.1_all.deb
Size: 2062172
MD5sum: 8904e005131dbbf4c2fe2a07f503d4f3
SHA1: 9f2ded3daeb35e5cc965494f7584857c8317faa9
SHA256: 2ef34eb9a20fb4c011edf1c31a12d5780d9ed076416687694e24701e22b2f49c
SHA512: bda4abd138363e5ca6a270a4503f7eae2191a2f2469296c73c0f7bbb6cf9f030e9c6ece27fb89e33022a5943fd9b91736f2dc61c1905396b2fcb18192798fec6
Homepage: https://cran.r-project.org/package=parameters
Description: CRAN Package 'parameters' (Processing of Model Parameters)
 Utilities for processing the parameters of various statistical models.
 Beyond computing p values, CIs, and other indices for a wide variety of
 models (see list of supported models using the function
 'insight::supported_models()'), this package implements features like
 bootstrapping or simulating of parameters and models, feature reduction
 (feature extraction and variable selection) as well as functions to describe
 data and variable characteristics (e.g.  skewness, kurtosis, smoothness or
 distribution).

Package: r-cran-paramgui
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-timp, r-cran-fields
Filename: pool/dists/focal/main/r-cran-paramgui_2.2.0-1.ca2004.1_all.deb
Size: 155168
MD5sum: f47cef6bb61630bac6490540219b5322
SHA1: eeada5b524ce5a683a6fe240dc882428afb72d43
SHA256: 63b9e7a7c4fed61d351baf1d813f4c2b2aa48bd72893dc14bf777dd8114561ea
SHA512: 289f1ff02f072b4c295abd938b1d39ed96ec4ab2d6474c0bea10dcdca8dd0d9893958632ebe462c7732a808aa1d1512672773eb3e153efdac20040f107738473
Homepage: https://cran.r-project.org/package=paramGUI
Description: CRAN Package 'paramGUI' (A Shiny GUI for some Parameter Estimation Examples)
 Allows specification and fitting of some parameter estimation examples
 inspired by time-resolved spectroscopy via a Shiny GUI.

Package: r-cran-paramhetero
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-paramhetero_1.0.0-1.ca2004.1_all.deb
Size: 30016
MD5sum: d9d0b8e2fe8fc7e032e3ab108bc394e5
SHA1: e4d0e8c3cfa551f15821f5aaf3491de20102ca8b
SHA256: 6717e1c4f5665a09e3dc27bd6b8e4b4c86318aacae2546fcbbfc0d4d99785a21
SHA512: a23a2cf7b1acc487b5f045190d182cbb012d601576634b38fbaaee0b28ab900a40ac52080fbd80d16197afcb9fb7e3648ea341e5ae9f2f2b9ceb66aca63e84fa
Homepage: https://cran.r-project.org/package=paramhetero
Description: CRAN Package 'paramhetero' (Numeric and Visual Comparisons of Heterogeneity in ParametricModels)
 Performs statistical tests to compare coefficients and residual variance
 across models. Also provides graphical methods for assessing heterogeneity
 in coefficients and residuals. Currently supports linear and generalized
 linear models.

Package: r-cran-paramix
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1402
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-lintr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-roxygen2, r-cran-wpp2019, r-cran-testthat, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-paramix_0.0.2-1.ca2004.1_all.deb
Size: 867608
MD5sum: 67d9ade22d7f81e5ee6d22065cc5bcde
SHA1: 52cd6e95112da480350ad0ab6683f135be5971ec
SHA256: da14ba913c26f64abc286e7c6f9b54a13408cecddcf05d675046d994f8b4d890
SHA512: 49e6502e9f0a2f2d4c0cfee3d164696a3289f4b3522a86389ddb39797d1ae5a29540846575a17a4b54d4d33b131a429e33ddcc79c20a80d058e64c834efa6c08
Homepage: https://cran.r-project.org/package=paramix
Description: CRAN Package 'paramix' (Aggregate and Disaggregate Continuous Parameters forCompartmental Models)
 A convenient framework for aggregating and disaggregating continuously
 varying parameters (for example, case fatality ratio, with age) for proper
 parametrization of lower-resolution compartmental models (for example, with
 broad age categories) and subsequent upscaling of model outputs to high
 resolution (for example, as needed when calculating age-sensitive measures
 like years-life-lost).

Package: r-cran-paramlink2
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-pedprobr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paramlink2_1.0.6-1.ca2004.1_all.deb
Size: 148164
MD5sum: 24e5833356ea896a9cc4d579d1a279ad
SHA1: e0556867cb5d8d4676bbdc56e002df31babf816b
SHA256: 6ac04219eb45a057caba0851a8b09b6f501347ba775466efb96a491cfe02c65a
SHA512: a52e9bd62eea9432c9b7488789d339c145941cbff8135edd7458bd433f06e8e0c51e0741ed1dbe471617a9c9c44b54be9570a86e6a2f59b4d83292c2c1d1f391
Homepage: https://cran.r-project.org/package=paramlink2
Description: CRAN Package 'paramlink2' (Parametric Linkage Analysis)
 Parametric linkage analysis of monogenic traits in medical pedigrees.
 Features include singlepoint analysis, multipoint analysis via 'MERLIN'
 (Abecasis et al. (2002) <doi:10.1038/ng786>), visualisation of log of the
 odds (LOD) scores and summaries of linkage peaks. Disease models may be
 specified to accommodate phenocopies, reduced penetrance and liability
 classes. 'paramlink2' is part of the 'pedsuite' package ecosystem, presented
 in 'Pedigree Analysis in R' (Vigeland, 2021, ISBN:9780128244302).

Package: r-cran-paramlink
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-kinship2, r-cran-maxlik
Suggests: r-cran-igraph
Filename: pool/dists/focal/main/r-cran-paramlink_1.1-5-1.ca2004.1_all.deb
Size: 641540
MD5sum: daccc5a3305775e6cc8505b997e1f996
SHA1: 6ff429e1731017e3837388fab31662f7ebdd2253
SHA256: f4bc3acbc65b72134bcb170b8e117bdc9079bef3921f6936ce64221d6416081e
SHA512: 0ce128374b1dafe7d559aaf2acbafd268a826578b6cc14024af5ad29df0383f38d860c42c9e0095131ba91fecdaabdf1db702c772f028fe4aa48d93aaef7fb8c
Homepage: https://cran.r-project.org/package=paramlink
Description: CRAN Package 'paramlink' (Parametric Linkage and Other Pedigree Analysis in R)
 NOTE: 'PARAMLINK' HAS BEEN SUPERSEDED BY THE 'PED SUITE' PACKAGES
 (<https://magnusdv.github.io/pedsuite/>). 'PARAMLINK' IS MAINTAINED ONLY FOR
 LEGACY PURPOSES AND SHOULD NOT BE USED IN NEW PROJECTS. A suite of tools for
 analysing pedigrees with marker data, including parametric linkage analysis,
 forensic computations, relatedness analysis and marker simulations. The core
 of the package is an implementation of the Elston-Stewart algorithm for
 pedigree likelihoods, extended to allow mutations as well as complex
 inbreeding. Features for linkage analysis include singlepoint LOD scores,
 power analysis, and multipoint analysis (the latter through a wrapper to the
 'MERLIN' software). Forensic applications include exclusion probabilities,
 genotype distributions and conditional simulations. Data from the 'Familias'
 software can be imported and analysed in 'paramlink'. Finally, 'paramlink'
 offers many utility functions for creating, manipulating and plotting
 pedigrees with or without marker data (the actual plotting is done by the
 'kinship2' package).

Package: r-cran-params
Architecture: all
Version: 0.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-whisker, r-cran-rcpptoml, r-cran-glue, r-cran-readr, r-cran-purrr
Suggests: r-cran-openxlsx, r-cran-readxl, r-cran-testthat, r-cran-knitr, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-params_0.7.7-1.ca2004.1_all.deb
Size: 74564
MD5sum: 80b0853c0159197d007dfee0456c8b2b
SHA1: 907c8d2771086b0230ac54410fca74c2353fca78
SHA256: 0249ebfd9c564a3edcb2d5d009fce507d102ded392e762e71af9c1d4adc76349
SHA512: c6f330769d04bcb8a5cf5e96bff0e6b2d335da0b2a8bf839a48bebfd638541a4a72de5f93418f24e1b35c470bb97d8cae6ff623611e5c4766d770349a57ec117
Homepage: https://cran.r-project.org/package=params
Description: CRAN Package 'params' (Simplify Parameters)
 An interface to simplify organizing parameters used in a package, using
 external configuration files. This attempts to provide a cleaner alternative
 to options().

Package: r-cran-paramsim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-foreach, r-cran-doparallel, r-cran-future, r-cran-tibble
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paramsim_0.1.0-1.ca2004.1_all.deb
Size: 33356
MD5sum: a9a2d5f3fda86611765e514996b09809
SHA1: cec262e12dee8b417bf3e77cc6c7b0525812003d
SHA256: fac47bfdfddbbac09a22aeab122971fc230bb679ea974bc891ae98260df63bf9
SHA512: 3862d5792d81e95db40a21b5d6b3ee002843377c6c1a8819bf87100860c2a0d1147533b2a9a891c9729a68fd65054fa81c40dfd6031c70e688565d77944a3818
Homepage: https://cran.r-project.org/package=paramsim
Description: CRAN Package 'paramsim' (Parameterized Simulation)
 This function obtains a Random Number Generator (RNG) or collection of RNGs
 that replicate the required parameter(s) of a distribution for a time series
 of data. Consider the case of reproducing a time series data set of size 20
 that uses an autoregressive (AR) model with phi = 0.8 and standard deviation
 equal to 1. When one checks the arima.sin() function's estimated parameters,
 it's possible that after a single trial or a few more, one won't find the
 precise parameters. This enables one to look for the ideal RNG setting for a
 simulation that will accurately duplicate the desired parameters.

Package: r-cran-paramtest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Suggests: r-cran-beepr, r-cran-pwr, r-cran-ggplot2, r-cran-knitr, r-cran-nlme, r-cran-lavaan, r-cran-dplyr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-paramtest_0.1.1-1.ca2004.1_all.deb
Size: 87356
MD5sum: 44ee6a9edf641097052066164fde91ca
SHA1: 06d79ff57576230d86094c9ebc7dff3c878497d6
SHA256: 4c49d58c3dd4f06001cf6465bd0d8b6cd0fa4b0e7d52976551af7e8f5742e8f9
SHA512: 6abc3f170b29ac7633f21c404f04bc594b57de6650a3d7c36f9c61c1911a504c1cf8235a31a20941cb1d93928e628334b5990ccc15c40959635ea9f30cdbf200
Homepage: https://cran.r-project.org/package=paramtest
Description: CRAN Package 'paramtest' (Run a Function Iteratively While Varying Parameters)
 Run simulations or other functions while easily varying parameters from one
 iteration to the next. Some common use cases would be grid search for
 machine learning algorithms, running sets of simulations (e.g., estimating
 statistical power for complex models), or bootstrapping under various
 conditions. See the 'paramtest' documentation for more information and
 examples.

Package: r-cran-paran
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-paran_1.5.4-1.ca2004.1_all.deb
Size: 34100
MD5sum: 680f823794dc01765d57b3a9e880d891
SHA1: d5d7ec78a455f055e2334e7a3ce9d5d5f4c8cf56
SHA256: 611a41af409c525d380d03b5740ce54692450511c1fa527422d310e9b6a4a2fa
SHA512: f0234392ac7acf9eb6e0d9d9670c240c6263fc3c38569ba7c706c154d065df43adeae51a8a9b5a1a6934e0b7dba26bc2d3f212384f7d99f9dd1fbde89e40564a
Homepage: https://cran.r-project.org/package=paran
Description: CRAN Package 'paran' (Horn's Test of Principal Components/Factors)
 An implementation of Horn's technique for numerically and graphically
 evaluating the components or factors retained in a principle components
 analysis (PCA) or common factor analysis (FA). Horn's method contrasts
 eigenvalues produced through a PCA or FA on a number of random data sets of
 uncorrelated variables with the same number of variables and observations as
 the experimental or observational data set to produce eigenvalues for
 components or factors that are adjusted for the sample error-induced
 inflation. Components with adjusted eigenvalues greater than one are
 retained. paran may also be used to conduct parallel analysis following
 Glorfeld's (1995) suggestions to reduce the likelihood of over-retention.

Package: r-cran-parbayesianoptimization
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1340
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dicekriging, r-cran-foreach, r-cran-dbscan, r-cran-lhs, r-cran-crayon, r-cran-ggplot2, r-cran-ggpubr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xgboost, r-cran-doparallel, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-parbayesianoptimization_1.2.6-1.ca2004.1_all.deb
Size: 751696
MD5sum: b58d2fec6672ffff47e5bc46e2489069
SHA1: ad547ca25dba49ce27fa045f798d932691a11879
SHA256: 486adec0ac0398ebf57955625842c4255dbd504bc503571cf852fc0688c69213
SHA512: 4568224a9b663aa028f817062d95871f831e9f1731726d3587c388c372f10b48269ce832e43852e562ad1d104b6c5a14e923fc346b3c1b6465a504e123dc29b9
Homepage: https://cran.r-project.org/package=ParBayesianOptimization
Description: CRAN Package 'ParBayesianOptimization' (Parallel Bayesian Optimization of Hyperparameters)
 Fast, flexible framework for implementing Bayesian optimization of model
 hyperparameters according to the methods described in Snoek et al.
 <arXiv:1206.2944>.  The package allows the user to run scoring function in
 parallel, save intermediary results, and tweak other aspects of the process
 to fully utilize the computing resources available to the user.

Package: r-cran-parboost
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mboost, r-cran-party, r-cran-iterators, r-cran-plyr, r-cran-caret, r-cran-glmnet, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-parboost_0.1.4-1.ca2004.1_all.deb
Size: 61912
MD5sum: 9b5cd7314fa74881822e263dc4714239
SHA1: f08b8732491d00bc3bdbf677db542a7d2eadca33
SHA256: c463d8573ed1ac9d40bcf650002e20c14676b1aad7f7af459d010c645ff08b22
SHA512: 860094bf134feda3aa8b08d3b7df9265e16eb246dc8b514f0429fe07df9b418a6f32014a97b94729a345145415b4a6e92722e3acccdc9e50e9b8c3a19805fccd
Homepage: https://cran.r-project.org/package=parboost
Description: CRAN Package 'parboost' (Distributed Model-Based Boosting)
 Distributed gradient boosting based on the mboost package. The parboost
 package is designed to scale up component-wise functional gradient boosting
 in a distributed memory environment by splitting the observations into
 disjoint subsets, or alternatively using bootstrap samples (bagging). Each
 cluster node then fits a boosting model to its subset of the data. These
 boosting models are combined in an ensemble, either with equal weights, or
 by fitting a (penalized) regression model on the predictions of the
 individual models on the complete data.

Package: r-cran-parcats
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3928
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-easyalluvial, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-forcats, r-cran-magrittr, r-cran-tibble, r-cran-htmlwidgets, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr, r-cran-randomforest, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-plotly, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-parcats_0.0.5-1.ca2004.1_all.deb
Size: 1055008
MD5sum: ed3261dfcfe552f38035b6940a12a260
SHA1: 468736cb86b11cc90fba2aae1007eb0fb03bef0f
SHA256: 755d4976529f60d16398c05ad2ed94320ba3d299ed0d3689a4ae523d10156580
SHA512: 3d62445233b3ead45dfad9ac68e7dc1324d5842b8c24e6a5e9396702bf908be0b5925d7d3c3481bdcb878f0ead55817d07ad7c62d18d7e15680dda3d4dcf8800
Homepage: https://cran.r-project.org/package=parcats
Description: CRAN Package 'parcats' (Interactive Parallel Categories Diagrams for 'easyalluvial')
 Complex graphical representations of data are best explored using
 interactive elements.  'parcats' adds interactive graphing capabilities to
 the 'easyalluvial' package.  The 'plotly.js' parallel categories diagrams
 offer a good framework for creating interactive flow graphs that allow
 manual drag and drop sorting of dimensions and categories, highlighting
 single flows and displaying mouse over information. The 'plotly.js'
 dependency is quite heavy and therefore is outsourced into a separate
 package.

Package: r-cran-parcoords
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2071
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crosstalk, r-cran-htmlwidgets
Suggests: r-cran-d3r, r-cran-ggplot2, r-cran-htmltools, r-cran-knitr, r-cran-shiny, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parcoords_1.0.0-1.ca2004.1_all.deb
Size: 303920
MD5sum: ed18965a494afe93d755bd5fbc3dd484
SHA1: cd56c4ff7fcebb6fab738ebf5907848d40446530
SHA256: 7f0bbeffcbb4aea4adacd380783dd56c3ba20f3601a3e213cacd2a51c8ddf8b3
SHA512: 850536e288d5973f362edf5771f110658d135507bc3eac8b880085e269c069533f27dba693e833995c15cd4244f8139ac1c0a9fc63f9131e762394d36b5882e9
Homepage: https://cran.r-project.org/package=parcoords
Description: CRAN Package 'parcoords' ('Htmlwidget' for 'd3.js' Parallel Coordinates Chart)
 Create interactive parallel coordinates charts with this 'htmlwidget'
 wrapper for 'd3.js' <https://github.com/BigFatDog/parcoords-es>
 {'parallel-coordinates'}.

Package: r-cran-parcr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-parcr_0.5.2-1.ca2004.1_all.deb
Size: 134864
MD5sum: 2b7ef8c85eb04afa56d93210ab5742dd
SHA1: 0b3ff100a5bc61f0b006ab857670bf641848b3f9
SHA256: 8734f530342643bdff3e374f4177aedf836af0e3a0a06fcdad0bb0bd218b667e
SHA512: a241b97c3a4bef14b4c13a88770ac89f9fc3ced9ded90331761ef7f1c1726e955d27cb80e80edd0d7d3d4dbeaad8240ec095708a55600f1e3d4b97dba64bf456
Homepage: https://cran.r-project.org/package=parcr
Description: CRAN Package 'parcr' (Construct Parsers for Structured Text Files)
 Construct parser combinator functions, higher order functions that parse
 input. Construction of such parsers is transparent and easy. Their main
 application is the parsing of structured text files like those generated by
 laboratory instruments. Based on a paper by Hutton (1992)
 <doi:10.1017/S0956796800000411>.

Package: r-cran-pardnacopy
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-dnacopy
Filename: pool/dists/focal/main/r-cran-pardnacopy_2.0-1.ca2004.1_all.deb
Size: 14604
MD5sum: 1f9fd99abb58ecb93f3dfcfddcb395ab
SHA1: bae0a654719761fee657f0555200dd13b4df87ce
SHA256: a8c0c1336069334b181d5484e51e1bbae485885ef6d6e057dc89fb9c15898498
SHA512: d594e602d3ea6baed4318fb784799218ae6d6f17b07ede6013a330f9ef70a03d936452ca4d7828f48315d2ad77ac0a295c97289742be226f0c3cf79251669d6c
Homepage: https://cran.r-project.org/package=ParDNAcopy
Description: CRAN Package 'ParDNAcopy' (Parallel implementation of the "segment" function of package"DNAcopy")
 Parallelized version of the "segment" function from Bioconductor package
 "DNAcopy", utilizing multi-core computation on host CPU

Package: r-cran-pare
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-cyclocomp, r-cran-desc, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-dplyr, r-cran-glue, r-cran-lintr, r-cran-magrittr, r-cran-pak, r-cran-rmarkdown, r-cran-rsvg, r-cran-stringr, r-cran-igraph, r-cran-r6, r-cran-git2r, r-cran-checkmate
Suggests: r-cran-ggplot2, r-cran-plotly, r-cran-ggraph, r-cran-dt, r-cran-magick, r-cran-withr, r-cran-cowplot, r-cran-knitr, r-cran-curl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pare_0.1.15-1.ca2004.1_all.deb
Size: 779964
MD5sum: 843287874667e8a11f869b613f4cf6ec
SHA1: aa3660ce9a16bca31c4b85f49f1f0dc38bbb4936
SHA256: b09f1dcd924189f941c9d047c41cf846581e83ec23455e556b238d6454918375
SHA512: 10b433f34973e87cfd8b5bb442e9dbc229833cf4a0e4fde1352e274b38d1e5dd5865368ad14e537e68e5b93cc81080f8e817716ec73e2fdf620b89194e52e6ad
Homepage: https://cran.r-project.org/package=PaRe
Description: CRAN Package 'PaRe' (A Way to Perform Code Review or QA on Other Packages)
 Reviews other packages during code review by looking at their dependencies,
 code style, code complexity, and how internally defined functions interact
 with one another.

Package: r-cran-pareto
Architecture: all
Version: 2.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lpsolve
Filename: pool/dists/focal/main/r-cran-pareto_2.4.5-1.ca2004.1_all.deb
Size: 394052
MD5sum: 661b0037f10d86359d41f81f0c24be53
SHA1: bee2c0383d43c7d9305bb43277cb5f04930ad402
SHA256: 8d39067719a3dfdbed01697ba4fbd0758dea5d9104b2f76bfd366057d4540140
SHA512: a25b35d34df0ba35804e080d2884a53dc330cfbbed5d6c8565051959d93ec5add1435e3835f9610d570bf6afbc8ac677401475d35ec08e9b4be4cb8cd241aed1
Homepage: https://cran.r-project.org/package=Pareto
Description: CRAN Package 'Pareto' (The Pareto, Piecewise Pareto and Generalized Pareto Distribution)
 Utilities for the Pareto, piecewise Pareto and generalized Pareto
 distribution that are useful for reinsurance pricing. In particular, the
 package provides a non-trivial algorithm that can be used to match the
 expected losses of a tower of reinsurance layers with a layer-independent
 collective risk model.  The theoretical background of the matching algorithm
 and most other methods are described in Ulrich Riegel (2018)
 <doi:10.1007/s13385-018-0177-3>.

Package: r-cran-paretoposstable
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adgoftest, r-cran-lmom, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-paretoposstable_1.1-1.ca2004.1_all.deb
Size: 94684
MD5sum: 7415db835b27082948b362d979bd8e51
SHA1: 505f49807165c71fe8ea5f23e307a6cb49674ce0
SHA256: dadbb7ba0d1963e0c315adbe120cfc17f88dd8b57abe238d9de9039b51d36045
SHA512: 3dc348adc1e8b5c344d0074729acaa4b9c7c52d5bd1de8492d4b931ea437e10c4644bdb699ed8d273ccaae01f48d3590f2c4243e965a0c2ba1682ee83b68cf76
Homepage: https://cran.r-project.org/package=ParetoPosStable
Description: CRAN Package 'ParetoPosStable' (Computing, Fitting and Validating the PPS Distribution)
 Statistical functions to describe a Pareto Positive Stable (PPS)
 distribution and fit it to real data. Graphical and statistical tools to
 validate the fits are included.

Package: r-cran-parfm
Architecture: all
Version: 2.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1872
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-optimx, r-cran-msm, r-cran-sn
Filename: pool/dists/focal/main/r-cran-parfm_2.7.7-1.ca2004.1_all.deb
Size: 1841180
MD5sum: db9bd4d13ec2ce8fbb9a3982df1595b1
SHA1: 98a33b8cce5acde04af0f40941d87195ca51961a
SHA256: f85d483c93723f3d0079146cdcad0228e39e5a1bba4b86b21b32461e0535c90e
SHA512: 234c57f018f16c34284f0ae6189ece01ad83d3170dd392baa29f0065471202bdc915fa9a1990a729a8f4ea468e672b664c7026540371583c426f00667fda5a2b
Homepage: https://cran.r-project.org/package=parfm
Description: CRAN Package 'parfm' (Parametric Frailty Models)
 Fits Parametric Frailty Models by maximum marginal likelihood.  Possible
 baseline hazards: exponential, Weibull, inverse Weibull (Fréchet), Gompertz,
 lognormal, log-skew-normal, and loglogistic.  Possible Frailty
 distributions: gamma, positive stable, inverse Gaussian and lognormal.

Package: r-cran-pargasite
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4878
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-gstat, r-cran-leaflet, r-cran-leafsync, r-cran-raqs, r-cran-rlang, r-cran-sf, r-cran-shiny, r-cran-shinycssloaders, r-cran-stars
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pargasite_2.1.1-1.ca2004.1_all.deb
Size: 4336284
MD5sum: 0b45bf224f8d84932529e586fcfe6bb5
SHA1: bbd672b4f1d3c2c5e29b6d062438eeb46556a321
SHA256: 184776658fb91d790d7076a8d52f92922c222ad638e95971ea4963422ca04b62
SHA512: 34124e28bf21c65a89b99b9ee91219d83906f70423a30ce228e5cd6edf6165c4c349d0cfc96845daaa8ba8ad216dc25a8e6eea41981382538d32c47a74249910
Homepage: https://cran.r-project.org/package=pargasite
Description: CRAN Package 'pargasite' (Pollution-Associated Risk Geospatial Analysis Site)
 Offers tools to estimate and visualize levels of major pollutants (CO, NO2,
 SO2, Ozone, PM2.5 and PM10) across the conterminous United States for
 user-defined time ranges. Provides functions to retrieve pollutant data from
 the U.S. Environmental Protection Agency’s 'Air Quality System' (AQS) API
 service <https://aqs.epa.gov/aqsweb/documents/data_api.html> for interactive
 visualization through a 'shiny' application, allowing users to explore
 pollutant levels for a given location over time relative to the National
 Ambient Air Quality Standards (NAAQS).

Package: r-cran-paris2024colours
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paris2024colours_0.2.0-1.ca2004.1_all.deb
Size: 47292
MD5sum: c237702f6e1def6fa5dc6afd13665df9
SHA1: 3ce0e44e360694653458b198720d70bb4da8c1ac
SHA256: 8c4e3ea574bbcf210970251fa74425af1e5310b1c53d1e67abe0164fcd08ecc4
SHA512: 353fccf04fdc65fceca1be091a889b383dda78bbb8bcc2b811b1a5bf79e20f6a95ffb50bf0b0f6b68be89ca66ad69e21dfe5c22ff68a486d2a33114b75c0d285
Homepage: https://cran.r-project.org/package=Paris2024Colours
Description: CRAN Package 'Paris2024Colours' (Color Palettes Inspired by Paris 2024 Olympic and ParalympicGames)
 Palettes inspired by Paris 2024 Olympic and Paralympic Games for data
 visualizations. Length of color palettes is configurable.

Package: r-cran-parlitools
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hansard, r-cran-mnis, r-cran-dplyr, r-cran-stringi, r-cran-sf, r-cran-snakecase, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-rgdal, r-cran-devtools, r-cran-leaflet, r-cran-htmltools, r-cran-cartogram, r-cran-htmlwidgets, r-cran-ggplot2, r-cran-tibble, r-cran-janitor
Filename: pool/dists/focal/main/r-cran-parlitools_0.4.1-1.ca2004.1_all.deb
Size: 1790556
MD5sum: ccfafb62dc766017e549b0a8aa1aba28
SHA1: e8ad617f01fb50bfe6236f4a77cf2ce65a83d986
SHA256: 754ff74f33f989494d642041265c35c41c03b27cda6daa174a0607c57c4bf4f0
SHA512: ff27542d2c04b154beceb0d5df05840d98632d97e066a746d099683d4fbb29984e38df92831355146b7860e3eeb0ba7bd9d28486afb0aa61c5a79573dc50a563
Homepage: https://cran.r-project.org/package=parlitools
Description: CRAN Package 'parlitools' (Tools for Analysing UK Politics)
 Provides various tools for analysing UK political data, including election
 result datasets, hexagonal cartograms and functions to retrieve council
 member data.

Package: r-cran-parmsurvfit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus, r-cran-flexsurv, r-cran-ggplot2
Suggests: r-cran-survival, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parmsurvfit_0.1.0-1.ca2004.1_all.deb
Size: 268864
MD5sum: 02a4724cd0c28cba036514ab8069da97
SHA1: 1e35728ee79e70e1c663a0842bf751ff7e8ae48f
SHA256: 494d23c62f81dd537e58c5c83b030d852f7d9d83acc3aef6504b55a610fc1d90
SHA512: 698b7ba21650d09c9be074fb1b367c778c82ac30fbfec0b74fe5d9804f7a4d53edae12d8437c1380c536158bc79e687d1b02661279d70d2f273aa77789f413b9
Homepage: https://cran.r-project.org/package=parmsurvfit
Description: CRAN Package 'parmsurvfit' (Parametric Models for Survival Data)
 Executes simple parametric models for right-censored survival data.
 Functionality emulates capabilities in 'Minitab', including fitting
 right-censored data, assessing fit, plotting survival functions, and summary
 statistics and probabilities.

Package: r-cran-parqr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-arrow, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parqr_0.1.0-1.ca2004.1_all.deb
Size: 20728
MD5sum: cdd26d685d140c0a1356559927b4e100
SHA1: 37d9fe41e9172a4bfeac6ded4c45f1b84b899480
SHA256: e910c554c32745d52d67212064d54ea28a8727c9825b59032f3fca2106195a2e
SHA512: 31501c94a43f1dc19391c5ddbfd2338ee141389796fd94c4ca6d3f556a826653274c68a7607e5aa5a5f4731f6d9c93951230836251cb1beeb7adc132b4f36f9a
Homepage: https://cran.r-project.org/package=parqr
Description: CRAN Package 'parqr' (Read in Multi-Part Parquet Files)
 Reads in multi-part parquet files. Will read in parquet files that have not
 been previously coalesced into one file. Convenient for reading in
 moderately sized, but split files.

Package: r-cran-parquetize
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1327
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-haven, r-cran-arrow, r-cran-curl, r-cran-readr, r-cran-jsonlite, r-cran-dbi, r-cran-rsqlite, r-cran-cli, r-cran-tidyselect, r-cran-lifecycle, r-cran-glue, r-cran-fst, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-parquetize_0.5.7-1.ca2004.1_all.deb
Size: 158252
MD5sum: a8cec72b3e2883451ef50cac60dd5de3
SHA1: 0a7ee1f9a1fbb98b051edff8096a4c0694aae4c8
SHA256: 44630eed7f69a2a2241c44b40e53c436f0bd360719940e0065de0a87bc559a98
SHA512: 5bfa798427d6513708c4c277baafa01a1796c97915c87757c2788337ac8ccea01d1ed4faa3e93aa5e67f7984f292f3b1c01054fde96ef441122de3bb0aebc089
Homepage: https://cran.r-project.org/package=parquetize
Description: CRAN Package 'parquetize' (Convert Files to Parquet Format)
 Collection of functions to get files in parquet format.  Parquet is a
 columnar storage file format <https://parquet.apache.org/>.  The files to
 convert can be of several formats ("csv", "RData", "rds", "RSQLite", "json",
 "ndjson", "SAS", "SPSS"...).

Package: r-cran-parsel
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rselenium, r-cran-lubridate, r-cran-purrr, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-parsel_0.3.0-1.ca2004.1_all.deb
Size: 55516
MD5sum: 89e2097b3e07725a5e292b8f41c13057
SHA1: a1812b3f5a6577275ebb5a44fa685945fafa1e3c
SHA256: b5c1511621683ca8d388797a07a16d71e1640901dc340fe4cf59a4297e4fb19f
SHA512: e130f4639e186efdffbfd049693e1d7c0b0ccefe94f1a36b3e392d987be0a56d68fa72c30cff304188c8029bf13d489aff409a420fbb5c3c751f1257d5a26f4f
Homepage: https://cran.r-project.org/package=parsel
Description: CRAN Package 'parsel' (Parallel Dynamic Web-Scraping Using 'RSelenium')
 A system to increase the efficiency of dynamic web-scraping with 'RSelenium'
 by leveraging parallel processing. You provide a function wrapper for your
 'RSelenium' scraping routine with a set of inputs, and 'parsel' runs it in
 several browser instances.  Chunked input processing as well as error
 catching and logging ensures seamless execution and minimal data loss, even
 when unforeseen 'RSelenium' errors occur. You can additionally build safe
 scraping functions with minimal coding by utilizing constructor functions
 that act as wrappers around 'RSelenium' methods.

Package: r-cran-parserpdr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-readr, r-cran-parallelly, r-cran-foreach, r-cran-future, r-cran-dofuture, r-cran-progressr
Suggests: r-cran-testthat, r-cran-reticulate, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-parserpdr_1.1.2-1.ca2004.1_all.deb
Size: 384188
MD5sum: d019383bd45db6094604c0146d773d56
SHA1: 94c8a0d0098bf86b0e7287aeb0cd6e98b8f1fcb6
SHA256: e5d1195b130cb8145fc4dce31a1921e21794c66756d74c8e795672c58eea0f2e
SHA512: eb86d6798c9761729468bdfb2165d9272013cd9376100036231c7c28b15761f5b0d6c9ecb9470d54cce5244c564ae4cdc093326ebdad4a4ff04fdf61ce2d30ff
Homepage: https://cran.r-project.org/package=parseRPDR
Description: CRAN Package 'parseRPDR' (Parse and Manipulate Research Patient Data Registry ('RPDR')Text Queries)
 Functions to load Research Patient Data Registry ('RPDR') text queries from
 Partners Healthcare institutions into R.  The package also provides helper
 functions to manipulate data and execute common procedures such as finding
 the closest radiological exams considering a given timepoint, or creating a
 DICOM header database from the downloaded images. All functionalities are
 parallelized for fast and efficient analyses.

Package: r-cran-parsim
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-pbapply, r-cran-snow, r-cran-data.table
Suggests: r-cran-ggplot2, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-parsim_0.1.5-1.ca2004.1_all.deb
Size: 26240
MD5sum: 8ac3f6433dbb51689cfc26e50741e454
SHA1: c2342cccff8a664f5f12bc3d8ade04160276b853
SHA256: d7f67cdc07346184e8206160d001628eae46c6451a3594b4edf642c43a351299
SHA512: 60c63749b6d534864f8fe0b9ae3a9fd91c1fff92c7f7abf94c364bb01e0ff121402abd8ad5cdc293995812e657e3dcc274e9361807b3d4e8898f61d817576801
Homepage: https://cran.r-project.org/package=parSim
Description: CRAN Package 'parSim' (Parallel Simulation Studies)
 Perform flexible simulation studies using one or multiple computer cores.
 The package is set up to be usable on high-performance clusters in addition
 to being run locally, see examples on
 <https://github.com/SachaEpskamp/parSim>.

Package: r-cran-parsnip
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1590
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-globals, r-cran-glue, r-cran-hardhat, r-cran-lifecycle, r-cran-magrittr, r-cran-pillar, r-cran-prettyunits, r-cran-purrr, r-cran-rlang, r-cran-sparsevctrs, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-withr
Suggests: r-cran-bench, r-cran-c50, r-cran-covr, r-cran-dials, r-cran-earth, r-cran-ggrepel, r-cran-keras, r-cran-kernlab, r-cran-kknn, r-cran-knitr, r-cran-liblinear, r-cran-mass, r-cran-matrix, r-cran-mgcv, r-cran-modeldata, r-cran-nlme, r-cran-prodlim, r-cran-ranger, r-cran-remotes, r-cran-rmarkdown, r-cran-rpart, r-cran-sparklyr, r-cran-survival, r-cran-tensorflow, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-parsnip_1.3.2-1.ca2004.1_all.deb
Size: 1408484
MD5sum: 9736c05a1ff3dc1e36430d7251b44537
SHA1: df9a1dadf6e256ff2cefb70f79f6ce6335dd0388
SHA256: 079d50eea37c92b4414ee640ff3b3f681fbbe86dca3365919ffbd7e32397c110
SHA512: 8efcd7f0c6648e32d1bd4bee477acfb3886bf4e69b328f5329de5594ba12db4ff21f90b55cc534bff0f200403e4baf61669941db89a4c42b9a55b6ef50a526c2
Homepage: https://cran.r-project.org/package=parsnip
Description: CRAN Package 'parsnip' (A Common API to Modeling and Analysis Functions)
 A common interface is provided to allow users to specify a model without
 having to remember the different argument names across different functions
 or computational engines (e.g. 'R', 'Spark', 'Stan', 'H2O', etc).

Package: r-cran-partcensreg
Architecture: all
Version: 1.39-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ssym, r-cran-optimx, r-cran-matrix
Suggests: r-cran-smncensreg, r-cran-aer
Filename: pool/dists/focal/main/r-cran-partcensreg_1.39-1.ca2004.1_all.deb
Size: 94108
MD5sum: a3f317caf5a303e372737546f08c9e80
SHA1: f491f9c2a53f94e263fa4751b76c35c8e792ae19
SHA256: 94159c1e4de2834feec1a95baf58ebc4af47dfb43dc50e7b7fa45d7f650d42fd
SHA512: 1ccf8a3d10c15f74bc3d82e1ee0e74c620b870346145eaba039499c27741efd5bf276fbe8cd4b3eba410b36814ddf8834c7b3fe9c3b492a37d15debfd79a9efc
Homepage: https://cran.r-project.org/package=PartCensReg
Description: CRAN Package 'PartCensReg' (Estimation and Diagnostics for Partially Linear CensoredRegression Models Based on Heavy-Tailed Distributions)
 It estimates the parameters of a partially linear regression censored model
 via maximum penalized likelihood through of ECME algorithm. The model belong
 to the semiparametric class, that including a parametric and nonparametric
 component. The error term considered belongs to the scale-mixture of normal
 (SMN) distribution, that includes well-known heavy tails distributions as
 the Student-t distribution, among others. To examine the performance of the
 fitted model, case-deletion and local influence techniques are provided to
 show its robust aspect against outlying and influential observations. This
 work is based in Ferreira, C. S., & Paula, G. A. (2017)
 <doi:10.1080/02664763.2016.1267124> but considering the SMN family.

Package: r-cran-partdsa
Architecture: all
Version: 0.9.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-mass, r-cran-th.data, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-partdsa_0.9.14-1.ca2004.1_all.deb
Size: 587040
MD5sum: d73d56fd26efdca303f3e3810e46a1f7
SHA1: 6bef69b0d2380d5216baf6e6b6a548a0f55580c1
SHA256: 97104cdf44bf771e9cd9267bd82a84d0f651167796c1e3381da5e8a238a9db41
SHA512: cdb975ba32ee470d211b73e02c85fc2b724a3e6ff3527c0fcce31408838481676d06d3eebe1ed84c188d3a8b055ca0afbb51df46ca5cb6a62ebf73d25bbbce05
Homepage: https://cran.r-project.org/package=partDSA
Description: CRAN Package 'partDSA' (Partitioning Using Deletion, Substitution, and Addition Moves)
 A novel tool for generating a piecewise constant estimation list of
 increasingly complex predictors based on an intensive and comprehensive
 search over the entire covariate space.

Package: r-cran-partialised
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-partialised_0.1.1-1.ca2004.1_all.deb
Size: 25416
MD5sum: a16422821f4c594945ba770cff359f83
SHA1: 571ee8c2eea1aeb5ec572cc91867183092c16440
SHA256: f21c90e9032b84609e9283af789ccc4aac18a39e6af64db2959e102569312bef
SHA512: 4474a15ed122739381f7ef79f6dbb74299293869ad7939b210926a84f17353c4ec250afbb5e3ad6837f8c9fdbb887581ed50dbdc1dfea96e14f310f054804c79
Homepage: https://cran.r-project.org/package=partialised
Description: CRAN Package 'partialised' (Partialised Functions)
 Provides a 'partialised' class that extends the partialising function of
 'purrr' by making it easier to change the arguments. This is similar to the
 function-like object in 'Julia'
 (<https://docs.julialang.org/en/v1/manual/methods/#Function-like-objects>).

Package: r-cran-partiallyoverlapping
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-partiallyoverlapping_2.0-1.ca2004.1_all.deb
Size: 28544
MD5sum: 528daf5125175dd7ec0d79f2e39ffeed
SHA1: 0bd0588071a13202b4cb922061f8d3809e0cfb77
SHA256: 81d25541b8d41d894177065c8aeaf5973379ace69a73b1cde472a863ba828522
SHA512: f2b702e641d88a0920bf3651d11fb0af192e0617b2e72fc55dfd850830b25ab328c4dab221d28710a0be68ef1e2744bf10efe0630db6ca89d797aa0ff3702f7c
Homepage: https://cran.r-project.org/package=Partiallyoverlapping
Description: CRAN Package 'Partiallyoverlapping' (Partially Overlapping Samples Tests)
 Tests for a comparison of two partially overlapping samples.  A comparison
 of means using the partially overlapping samples t-test: See Derrick, Russ,
 Toher and White (2017), Test statistics for the comparison of means for two
 samples which include both paired observations and independent observations,
 Journal of Modern Applied Statistical Methods, 16(1).  A comparison of
 proportions using the partially overlapping samples z-test: See Derrick,
 Dobson-Mckittrick, Toher and White (2015), Test statistics for comparing two
 proportions with partially overlapping samples.  Journal of Applied
 Quantitative Methods, 10(3).

Package: r-cran-partialor
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-partialor_0.9-1.ca2004.1_all.deb
Size: 30644
MD5sum: 127fad82c0178bdbbf34109f8686fef0
SHA1: 73ca8b1d6f32df67a57fa5a591777683342d8217
SHA256: d533b56b9b9d48f47f5d4282465951f952ff0ea6203c0a01b42892a068268644
SHA512: 8c7b5b3601230712d1a7346885e59dd6efeb8e073e47c71ae7ba98ca950be4c77f8711450ed32d92e331d45e3ca4d5cb0a42024dc89f80b2ed1f354c28c2ac54
Homepage: https://cran.r-project.org/package=partialOR
Description: CRAN Package 'partialOR' (Partial Odds Ratio)
 Computes Odds Ratio adjusted for a vector of possibly continuous covariates

Package: r-cran-particle.swarm.optimisation
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-rgl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-particle.swarm.optimisation_1.0-1.ca2004.1_all.deb
Size: 113232
MD5sum: 0f2b9189360a4256a1f9b14bf7e73e14
SHA1: 2554d22d8b29e3128090538e260ea49a7cd4615a
SHA256: d27a5c39f86538bcf440c9178b3200af851eb8b77584d538534f050130a22c8f
SHA512: 801f4d98645f900255f39b4968b2942b36fee9d6ed75745c46136ff5268ab7d7c58fee681768d9cc16895bf47baab43f20af52be7c81611b9b6470333bb19b80
Homepage: https://cran.r-project.org/package=particle.swarm.optimisation
Description: CRAN Package 'particle.swarm.optimisation' (Optimisation with Particle Swarm Optimisation)
 A toolbox to create a particle swarm optimisation (PSO), the package
 contains two classes: the Particle and the Particle Swarm, this two class is
 used to run the PSO with methods to easily print, plot and save the result.

Package: r-cran-partitionbefsp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-partitionbefsp_1.0-1.ca2004.1_all.deb
Size: 30312
MD5sum: 59916f5b06947c0ce7b663a9bca75136
SHA1: e4b729a2d27ab8b34f998fd9c71042f3ed854661
SHA256: 5b9df212346385b03c3a0496feea6112cf67158cd58a38ce9d655acb84d658ef
SHA512: 5bd0e236086deb0530367391a0957356c3a4af9e6d44345be69a504f9a3d9f45e5e9e935d3b6a839086f67af07cb9c03b2cc0f378d84086749980095987216b8
Homepage: https://cran.r-project.org/package=partitionBEFsp
Description: CRAN Package 'partitionBEFsp' (Methods for Calculating the Loreau & Hector 2001 BEF Partition)
 A collection of functions that can be used to estimate selection and
 complementarity effects, sensu Loreau & Hector (2001)
 <doi:10.1038/35083573>, even in cases where data are only available for a
 random subset of species (i.e. incomplete sample-level data). A full
 derivation and explanation of the statistical corrections used here is
 available in Clark et al. (2019) <doi:10.1111/2041-210X.13285>.

Package: r-cran-partitioncomparison
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack, r-cran-lpsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-partitioncomparison_0.2.6-1.ca2004.1_all.deb
Size: 216460
MD5sum: dd9c9307822af1d65b7e0ddb4a5eb32e
SHA1: 6dc5d60d0c6145551303f7f8259ae563682d1e96
SHA256: eac8b4242fc9f0e342c1ee9b4c8b4b601af5ecd5f74a8ff822c9c31002477d5b
SHA512: 5c79a35fa0c1fff59905e2b00eaea0caf3020bfeab238298cb5b39c62c29298df2f648a9a44c03cb37678de3338f5b10f9ae73a7198d4737207b6811bbe58b70
Homepage: https://cran.r-project.org/package=partitionComparison
Description: CRAN Package 'partitionComparison' (Implements Measures for the Comparison of Two Partitions)
 Provides several measures ((dis)similarity, distance/metric, correlation,
 entropy) for comparing two partitions of the same set of objects. The
 different measures can be assigned to three different classes: Pair
 comparison (containing the famous Jaccard and Rand indices), set based, and
 information theory based.  Many of the implemented measures can be found in
 Albatineh AN, Niewiadomska-Bugaj M and Mihalko D (2006)
 <doi:10.1007/s00357-006-0017-z> and Meila M (2007)
 <doi:10.1016/j.jmva.2006.11.013>.  Partitions are represented by vectors of
 class labels which allow a straightforward integration with existing
 clustering algorithms (e.g. kmeans()). The package is mostly based on the S4
 object system.

Package: r-cran-partitionmap
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-partitionmap_0.5-1.ca2004.1_all.deb
Size: 32884
MD5sum: a5a49c7e977558baf86702ee3e2db7ba
SHA1: e615c1d0f1bcc57696110106d31740f4c1d2fe3e
SHA256: 7d55ee99487d61f2f1ca7090d1b8672dc46cb039806af747330943f6ced4f77b
SHA512: a55890472cafb67d3ca5f47a079355c1b7c667afa7798a2f3a6f23e0e6e66d83b48609c374dfc1b6706b6ed53c602a1336929b17a4a9b7f477091da8d3f58807
Homepage: https://cran.r-project.org/package=partitionMap
Description: CRAN Package 'partitionMap' (Partition Maps)
 Low-dimensional embedding, using Random Forests for multiclass
 classification

Package: r-cran-partitionmetric
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-partitionmetric_1.1-1.ca2004.1_all.deb
Size: 18896
MD5sum: 19362bc9f5944d81c9e5d0a1934ffff4
SHA1: e04117ebd2ac542285e394a9c76435915179c2d2
SHA256: 17f58628a2f95a7eb0cee7b74a74333e8f9814bab62d3f4a899b241b8e427ab8
SHA512: 5a5c9364c01d4ce1bf95ff622c902319604b6b61f6c8b3023302d0f6e1ef76b89da12a485763328d0ce78700e13e0ef2a56a72a09094140efd721e8b205be54e
Homepage: https://cran.r-project.org/package=partitionMetric
Description: CRAN Package 'partitionMetric' (Compute a distance metric between two partitions of a set)
 partitionMetric computes a distance between two partitions of a set.

Package: r-cran-partools
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-regtools, r-cran-data.table, r-cran-pdist
Suggests: r-cran-rpart, r-cran-e1071, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-partools_1.1.6-1.ca2004.1_all.deb
Size: 1149316
MD5sum: fdc48b95d28d6325c9113011412fa6ba
SHA1: ab6b766210ca5bcde03f7e474bc38ad4e82cd5b8
SHA256: 89d9e7500cd4d0a0399e7e5a1e3fd636d627e13b45af98268f3584cfd9ccf834
SHA512: fd6d7a50fdd6316b0ada2bf9f78be51e734926f4691c28a99ac0546b9961ec36b81225340c1d15b26859c90860df5f67fa73388c89b760681172cbdbdc349a7e
Homepage: https://cran.r-project.org/package=partools
Description: CRAN Package 'partools' (Tools for the 'Parallel' Package)
 Miscellaneous utilities for parallelizing large computations.  Alternative
 to MapReduce.  File splitting and distributed operations such as sort and
 aggregate.  "Software Alchemy" method for parallelizing most statistical
 methods, presented in N. Matloff, Parallel Computation for Data Science,
 Chapman and Hall, 2015.  Includes a debugging aid.

Package: r-cran-partr2
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4032
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-pbapply, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-magrittr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-future, r-cran-furrr, r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork, r-cran-covr
Filename: pool/dists/focal/main/r-cran-partr2_0.9.2-1.ca2004.1_all.deb
Size: 2093112
MD5sum: 37cf57cf4b4ac1413c12b74c7d92a893
SHA1: 530ae9c02b16b52854adb615ba04395244d700ad
SHA256: 1abbed2125247a176cc1a9e123245cb3bf6a8f6d242cedb67454a2beabc8424d
SHA512: af095c9ab06f6a236baf6faf31798143bfd5f52172360db801d5b6820d0783b5d25912cfdcad9a32a0e2dcfdeebede6e60d19968b0624b3cb12956b6cb60a57b
Homepage: https://cran.r-project.org/package=partR2
Description: CRAN Package 'partR2' (Partitioning R2 in GLMMs)
 Partitioning the R2 of GLMMs into variation explained by each predictor and
 combination of predictors using semi-partial (part) R2 and inclusive R2.
 Methods are based on the R2 for GLMMs described in Nakagawa & Schielzeth
 (2013) and Nakagawa, Johnson & Schielzeth (2017).

Package: r-cran-partsm
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 796
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-partsm_1.1-4-1.ca2004.1_all.deb
Size: 689792
MD5sum: 0e73f914f45ba2932d1213b620a07cce
SHA1: c2f9f299b044a12e9fc4b140ddbee740e981df08
SHA256: f3998cf11be485c142ce86155ac2b8df4d67e0abe30ee4046e59dd4ef1fe0c0d
SHA512: fedc71bc2f99fed0fc957259aaca893677a7d3a3177d4e0af60e6cde7e0092e9cbb730c109d25e38bc77e743d3e0755b646b8b8182189b36a1f067a933ae52c6
Homepage: https://cran.r-project.org/package=partsm
Description: CRAN Package 'partsm' (Periodic Autoregressive Time Series Models)
 Basic functions to fit and predict periodic autoregressive time series
 models. These models are discussed in the book P.H. Franses (1996)
 "Periodicity and Stochastic Trends in Economic Time Series", Oxford
 University Press. Data set analyzed in that book is also provided. NOTE: the
 package was orphaned during several years. It is now only maintained, but no
 major enhancements are expected, and the maintainer cannot provide any
 support.

Package: r-cran-parttime
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-lubridate, r-cran-pillar, r-cran-vctrs
Suggests: r-cran-dplyr, r-cran-withr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parttime_0.1.2-1.ca2004.1_all.deb
Size: 284840
MD5sum: 7a7164de0d31bb1de0fbcc107defafdd
SHA1: 0fca66455bfac46d2fdb45a60c2d5e707ce9ca9e
SHA256: a37e0c5dd6f805968600c49174106830262a651c6990282c3bbeb54a03b300df
SHA512: 3fcf959b1b04c12e5c1d46489ecc7d591585aed06179eb86c68f74213f0536be4f634b08c9724b126a8d3b0a71d506bb87d111100a0626d34e677de3588ee87f
Homepage: https://cran.r-project.org/package=parttime
Description: CRAN Package 'parttime' (Partial Datetime Handling)
 Datetimes and timestamps are invariably an imprecise notation, with any
 partial representation implying some amount of uncertainty. To handle this,
 'parttime' provides classes for embedding partial missingness as a central
 part of its datetime classes. This central feature allows for more ergonomic
 use of datetimes for challenging datetime computation, including
 calculations of overlapping date ranges, imputations, and more thoughtful
 handling of ambiguity that arises from uncertain time zones. This package
 was developed first and foremost with pharmaceutical applications in mind,
 but aims to be agnostic to application to accommodate general use cases just
 as conveniently.

Package: r-cran-parttree
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 974
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-partykit, r-cran-rlang, r-cran-rpart, r-cran-tinyplot
Suggests: r-cran-tinytest, r-cran-tinysnapshot, r-cran-fontquiver, r-cran-rsvg, r-cran-svglite, r-cran-palmerpenguins, r-cran-titanic, r-cran-mlr3, r-cran-parsnip, r-cran-workflows, r-cran-magick, r-cran-imager, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-parttree_0.1.1-1.ca2004.1_all.deb
Size: 643460
MD5sum: 02fd3753591db993bb8350520ef12155
SHA1: 32626ee34d46ad007bebeabc8116812117f9b83d
SHA256: f2598017e000a4704e0d2cfb3ef43ca53300824784801431f093173bf6880ddd
SHA512: 9bb50416d3def9b889d463dbb343a31c3444b7bf080c78ee881af68c96e07249281e7a852d629da5d692c9866c494e74e55ee9ad3a1be739bbf1fd262dd95ec3
Homepage: https://cran.r-project.org/package=parttree
Description: CRAN Package 'parttree' (Visualize Simple 2-D Decision Tree Partitions)
 Visualize the partitions of simple decision trees, involving one or two
 predictors, on the scale of the original data. Provides an intuitive
 alternative to traditional tree diagrams, by visualizing how a decision tree
 divides the predictor space in a simple 2D plot alongside the original data.
 The 'parttree' package supports both classification and regression trees
 from 'rpart' and 'partykit', as well as trees produced by popular frontend
 systems like 'tidymodels' and 'mlr3'. Visualization methods are provided for
 both base R graphics and 'ggplot2'.

Package: r-cran-parviol
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vioplot
Filename: pool/dists/focal/main/r-cran-parviol_1.1-1.ca2004.1_all.deb
Size: 17412
MD5sum: 8c3e74e7e0e00bad4ab8a0f209ecd9ab
SHA1: 1112ec2a46eababaef04b52e20012b550df84c2c
SHA256: 139a924d8ac2ec028f15de5db679162fe56bf185f7c122fc102fa2de6afa6a89
SHA512: c7edf796b39bde29d37c8231e0ca2883fb6f95d36c3c799ead512fbb97858925aa7c23dffb4fb3081e6ddddd363851d0245571c462a61dea7d7649725ccb418d
Homepage: https://cran.r-project.org/package=parviol
Description: CRAN Package 'parviol' (Parviol)
 Parviol combines parallel coordinates and violin plot

Package: r-cran-pas
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-pas_1.2.5-1.ca2004.1_all.deb
Size: 104412
MD5sum: a110c7865b38600635e55b4431727cd9
SHA1: 66ed65a209857a431437f76ab57dac9769bd531f
SHA256: 7f72a22c53b222d6540d911fd57b8440e25315964c4022369af657daca6be7c2
SHA512: 419a401b623a266af0d67e88efb1b4420d2625c67a587fe5001df334e6b3c3fee2e7684cf766ee6fe39714aa9d251c70e3be8dd6c1ddb04507205811da376288
Homepage: https://cran.r-project.org/package=PAS
Description: CRAN Package 'PAS' (Polygenic Analysis System (PAS))
 An R package for polygenic trait analysis.

Package: r-cran-pasadr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-scales
Filename: pool/dists/focal/main/r-cran-pasadr_1.0-1.ca2004.1_all.deb
Size: 1059552
MD5sum: b2b3909307101b352c0b00e9811b269a
SHA1: 0552cb7a06aae8c37c03100a9aa60d14c4a95a24
SHA256: bab795f23fed66cb278162d180d3da48c21ce4bd1562d4a1292e0cf37d0fdc7e
SHA512: 0cb8d1711ac29ee13c6bd88d3078e79b024cb906f0bd4a58c68bbea047f141842b5074175172df065a52386181d0110173d6ec55e675ebc6892d562eba52e2ec
Homepage: https://cran.r-project.org/package=pasadr
Description: CRAN Package 'pasadr' (An Implementation of Process-Aware Stealthy AttackDetection(PASAD))
 Anomaly detection method based on the paper "Truth will out: Departure-based
 process-level detection of stealthy attacks on control systems" from Wissam
 Aoudi, Mikel Iturbe, and Magnus Almgren (2018)
 <DOI:10.1145/3243734.3243781>. Also referred to the following
 implementation: <https://github.com/rahulrajpl/PyPASAD>.

Package: r-cran-pasensewear
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pasensewear_1.0-1.ca2004.1_all.deb
Size: 332136
MD5sum: 4d8170a3eb75c6d542a7311a6f8cc25f
SHA1: 91476d498aeef07a6d21a55c5777b6f73c15ec86
SHA256: 15dab39a56d6f7ee021a1eda4653670db1f9d0f14e8182e0590e5ba4c1ace45e
SHA512: 043d72f4c50bda7c6cb4e06540cb5d8ba9f5d72248ef06629cadf2c6491202dcf396af7ccf233701654f56dd5c38f541a19e9e97eaeb6f1305313178a9abcfdc
Homepage: https://cran.r-project.org/package=PASenseWear
Description: CRAN Package 'PASenseWear' (Summarize Daily Physical Activity from 'SenseWear' AccelerometerData)
 Provide summary table of daily physical activity and per-person/grouped heat
 map for accelerometer data from SenseWear Armband. See
 <https://templehealthcare.wordpress.com/the-sensewear-armband/> for more
 information about SenseWear Armband.

Package: r-cran-pass.lme
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pass.lme_0.9.0-1.ca2004.1_all.deb
Size: 23616
MD5sum: 17b3ccab3979107ef572f3b4c02e117d
SHA1: 7f432582e4aa95722313186af85c5c99f112da6a
SHA256: ad031eca8fe9d8757dec8dc17ba2cb0247b6931980a6e5de7a67a770dddca7a9
SHA512: c2b5685f9fa953c0542f467d189faacecf07d22f04e7361b4b78538bafc49ec237ff2c870cfac3739c64c50532ee6e3fca6734d825f77050eeb51fa7bff536be
Homepage: https://cran.r-project.org/package=pass.lme
Description: CRAN Package 'pass.lme' (Power and Sample Size for Linear Mixed Effect Models)
 Power and sample size calculation for testing fixed effect coefficients in
 multilevel linear mixed effect models with one or more than one independent
 populations. Laird, Nan M. and Ware, James H. (1982) <doi:10.2307/2529876>.

Package: r-cran-passed
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-betareg, r-cran-rootsolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mkmisc
Filename: pool/dists/focal/main/r-cran-passed_1.2-2-1.ca2004.1_all.deb
Size: 104700
MD5sum: 329c1ecbb7b32880eb5e5c1e74f724cb
SHA1: c15f31acbcf978b63f5cacec377ac84c32c8fa7d
SHA256: 5c933f070d9101f5b566908f3b6884ca860c325922a2946899e7d9b666760486
SHA512: 67c0505eea8403937ab57c768623a9be9688fc85a0fcb34eff54d94eaaaccefb073c1ad4c7886b7b109f0db888abfda13a9675b773eba6ec12598bde62e38d11
Homepage: https://cran.r-project.org/package=PASSED
Description: CRAN Package 'PASSED' (Calculate Power and Sample Size for Two Sample Mean Tests)
 Power calculations are a critical component of any research study to
 determine the minimum sample size necessary to detect differences between
 multiple groups. Here we present an 'R' package, 'PASSED', that performs
 power and sample size calculations for the test of two-sample means or
 ratios with data following beta, gamma (Chang et al. (2011),
 <doi:10.1007/s00180-010-0209-1>), normal, Poisson (Gu et al. (2008),
 <doi:10.1002/bimj.200710403>), binomial, geometric, and negative binomial
 (Zhu and Lakkis (2014), <doi:10.1002/sim.5947>) distributions.

Package: r-cran-passport
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1444
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-dplyr, r-cran-dt, r-cran-gapminder, r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-mockr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-passport_0.3.0-1.ca2004.1_all.deb
Size: 777436
MD5sum: 498fca090d20660d8543c53bf756dd02
SHA1: c8a50b97a41eff19dfbf77c58b92245d4c49e8f0
SHA256: 55646bde7caca2236b13a2eedff4157316902e021d06200401e6606ddc803831
SHA512: fe67d3f34e8bccb79294a58e5e2fc924a3911c7e6779ee9764b5cee8c2dfb18c8d252f140305c5a8b910fbd031cf22e375b0dc1f29eced216f13442877d7a8dd
Homepage: https://cran.r-project.org/package=passport
Description: CRAN Package 'passport' (Travel Smoothly Between Country Name and Code Formats)
 Smooths the process of working with country names and codes via powerful
 parsing, standardization, and conversion utilities arranged in a simple,
 consistent API. Country name formats include multiple sources including the
 Unicode Common Locale Data Repository (CLDR, <http://cldr.unicode.org/>)
 common-sense standardized names in hundreds of languages.

Package: r-cran-passt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-plyr, r-cran-testthat, r-cran-covr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-passt_0.1.3-1.ca2004.1_all.deb
Size: 84012
MD5sum: fca301e213774e050075b7c20ec770a4
SHA1: 82ddb51497063c4d8b77b94268a541f8ae9e5bb5
SHA256: eea583a4abafc0252d4f765903a0bfe57251181d56be2ccaf2de7bc643638d89
SHA512: d512fe5c800c497ca5251f655a32e45ee48023a9cb15b609060a4be3be54fc437e0f54841a073547e54a72cb3a3346ed422f19465141945a48d3934226a4b0f7
Homepage: https://cran.r-project.org/package=passt
Description: CRAN Package 'passt' (Probability Associator Time (PASS-T))
 Simulates judgments of frequency and duration based on the Probability
 Associator Time (PASS-T) model. PASS-T is a memory model based on a simple
 competitive artificial neural network. It can imitate human judgments of
 frequency and duration, which have been extensively studied in cognitive
 psychology (e.g. Hintzman (1970) <doi:10.1037/h0028865>, Betsch et al.
 (2010) <https://psycnet.apa.org/record/2010-18204-003>). The PASS-T model is
 an extension of the PASS model (Sedlmeier, 2002, ISBN:0198508638). The
 package provides an easy way to run simulations, which can then be compared
 with empirical data in human judgments of frequency and duration.

Package: r-cran-password
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-password_1.0-1-1.ca2004.1_all.deb
Size: 10176
MD5sum: 52954be4bfba2925c17def352086fee6
SHA1: 14ffe7067c17dac1e6a32f565744ac2174d18f17
SHA256: 79a4dfb02d50dca0406a5352d0f10cb0c82e45a849a70c710815458dfc721e91
SHA512: e6319cc1e86bd06ea1ea8efe6d5b584c738cff58c9e0b6f7013787a0faa0450a73bd3a0de2bfed19420a5e273d45cc75d2bfc8778ce7b1a5ae69c9168bf83afa
Homepage: https://cran.r-project.org/package=password
Description: CRAN Package 'password' (Create Random Passwords)
 Create random passwords of letters, numbers and punctuation.

Package: r-cran-pastaplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggeffects, r-cran-ggplot2, r-cran-glmmtmb, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-pastaplot_0.1.0-1.ca2004.1_all.deb
Size: 87688
MD5sum: c97f5559af8ad26de68328749d1c445c
SHA1: 91967423c73b5655bcfaf12d701c78efcad80f26
SHA256: fe5183bb70914970474988ac3d422a39b41e53d19274045fbe5dfefc38db7f59
SHA512: 3cadc39a88ba6e9c14c871cdb69d0f8921a4cff1d7a5363ba93568a6fcae293bf82f2534a321520b42d4b3c1a804ae3abccc5a4f6f3834dcb0c8fc8f19e81973
Homepage: https://cran.r-project.org/package=pastaPlot
Description: CRAN Package 'pastaPlot' (Spaghetti-Plot Fixed and Random Effects of Linear Mixed Models)
 Plot both fixed and random effects of linear mixed models, multilevel models
 in a single spaghetti plot. The package allows to visualize the effect of a
 predictor on a criterion between different levels of a grouping variable.
 Additionally, confidence intervals can be displayed for fixed effects.
 Calculation of predicted values of random effects allows only models with
 one random intercept and/or one random slope to be plotted. Confidence
 intervals and predicted values of fixed effects are computed using the
 'ggpredict' function from the 'ggeffects' package. Lüdecke, D. (2018)
 <doi:10.21105/joss.00638>.

Package: r-cran-pastclim
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-curl, r-cran-lubridate, r-cran-gstat, r-cran-ncdf4, r-cran-xml2, r-cran-sf
Suggests: r-cran-ggplot2, r-cran-httr, r-cran-knitr, r-cran-rmarkdown, r-cran-marmap, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pastclim_2.2.0-1.ca2004.1_all.deb
Size: 3607028
MD5sum: 56437c6fec14458e7e2b22ab9363d5d4
SHA1: 201bb4e11b0272e6e9747298bfad4c74cc7c743d
SHA256: 8d52bf37fb94787352a206921121d6a21cb0b6fe8c3039bfbdbc3e47b1e4ac0f
SHA512: 1540df3861ec6e50a7c69ea006f478601a4f88568b95788499ec15f615b9d180f367d12dd622b420d71332c356f7f5ea293e2e1e25c56d4b5747b5f0d8a590c7
Homepage: https://cran.r-project.org/package=pastclim
Description: CRAN Package 'pastclim' (Manipulate Time Series of Climate Reconstructions)
 Methods to easily extract and manipulate climate reconstructions for
 ecological and anthropological analyses, as described in Leonardi et al.
 (2023) <doi:10.1111/ecog.06481>. The package includes datasets of
 palaeoclimate reconstructions, present observations, and future projections
 from multiple climate models.

Package: r-cran-pasteascomment
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rstudioapi, r-cran-clipr
Filename: pool/dists/focal/main/r-cran-pasteascomment_0.2.1-1.ca2004.1_all.deb
Size: 10180
MD5sum: 58bdddafa0f067cc1fc6968784ecae7d
SHA1: 63cd02f9e3b5260d1f7ca5fff4e365c35358ad35
SHA256: 90467ea864196c3d76d06620649b69bb47ec2faac25c482c1e990be6c46ec132
SHA512: b1ad682796480a5919c14e9428c476c7fa6b44a79f2066e7ebe20a13cc2d59e9ff40c4812a934029d52c03d83e46f5951d28849fa1d2bf52acd2ce353e579dc5
Homepage: https://cran.r-project.org/package=pasteAsComment
Description: CRAN Package 'pasteAsComment' ('RStudio' Addin to Paste the Clipboard as a Comment Block or a'roxygen' Block)
 Provides a 'RStudio' addin allowing to paste the content of the clipboard as
 a comment block or as 'roxygen' lines. This is very useful to insert an
 example in the 'roxygen' block.

Package: r-cran-pastecs
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot
Suggests: r-cran-svunit, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pastecs_1.4.2-1.ca2004.1_all.deb
Size: 480144
MD5sum: d0dbd7eb573d0e18ba436236010e8c6a
SHA1: d630f81130fb313c773fd1e8be4be0108c284053
SHA256: 1290612669cb3507f15d826bd03812db154ab7ca6c23e0cc349d2e90dc07afaa
SHA512: e0cd424b53cf6f867deb7ee00aef0e4830ab5c762351813b26fe6522fadd63a49f8547f83410a75177d19fc11e4cf1b4ab69e9ca573ee1e8ae1a9923e60c6036
Homepage: https://cran.r-project.org/package=pastecs
Description: CRAN Package 'pastecs' (Package for Analysis of Space-Time Ecological Series)
 Regularisation, decomposition and analysis of space-time series.  The
 pastecs R package is a PNEC-Art4 and IFREMER (Benoit Beliaeff
 <Benoit.Beliaeff@ifremer.fr>) initiative to bring PASSTEC 2000
 functionalities to R.

Package: r-cran-pastis
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caper, r-cran-ape
Filename: pool/dists/focal/main/r-cran-pastis_0.1-2-1.ca2004.1_all.deb
Size: 407944
MD5sum: 00f38b433cddcda28a3395d9eded986c
SHA1: 02a7003d5222bbb719f48b662bc24b78713fa73c
SHA256: 6ac229e702ff8b5c2c8da9cd1b0d7a162cb93436d8c01fc3f4b1f1b65046dbdf
SHA512: 5e45de07feea166d23e47e928c5b6561d358ba216c1f1667e29ca9c52dbf445c6f4da7a452787afe93afb6850cef08888c8134de1014cc5774ca70e4eb64ffba
Homepage: https://cran.r-project.org/package=pastis
Description: CRAN Package 'pastis' (Phylogenetic Assembly with Soft Taxonomic Inferences)
 A pre-processor for mrBayes that assimilates sequences, taxonomic
 information and tree constraints as per xxx.  The main functions of interest
 for most users will be pastis_simple, pastis_main and conch. The main
 analysis is conducted with pastis_simple or pastis_main followed by a manual
 execution of mrBayes (>3.2). The placement of taxa not contained in the tree
 constraint can be investigated using conch.

Package: r-cran-paswr2
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 503
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-paswr2_1.0.5-1.ca2004.1_all.deb
Size: 441744
MD5sum: c3110d0a916cd501e9ac4c85acacf973
SHA1: 15d721b58f946a9e911f7f96e8c5623b756af2da
SHA256: 1b2b7287a9bb3dc8649f453173af851a28ea5d08bdf530db53a571834c061947
SHA512: 4c153278c0ffb83be1f5f0c083a0372aeb2f72e16508109942e1d4a574a8a40cd17f43500200bc8866c1d2fd035e07bc1251633806be86e5cfc17a3db395d2fc
Homepage: https://cran.r-project.org/package=PASWR2
Description: CRAN Package 'PASWR2' (Probability and Statistics with R, Second Edition)
 Functions and data sets for the text Probability and Statistics with R,
 Second Edition.

Package: r-cran-paswr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-paswr_1.3-1.ca2004.1_all.deb
Size: 365068
MD5sum: 3c4e1988913b6fe0a8c0825c25c49011
SHA1: 242ccdc9ce49c7d5bfb5ac5ae907caea3df878b0
SHA256: 03b599a7dea13f36fdf89a58773ddd471739d5aba295f9efd4e3689704199caf
SHA512: 27089e628d490205c88af9cd958fb473e6a72bcd92c5128679e5b31bc7f66a4c964af92ea8c7a03f2f8c8e025eea87ea7e2f55fbb1a8476b2c3412a501aebba8
Homepage: https://cran.r-project.org/package=PASWR
Description: CRAN Package 'PASWR' (Probability and Statistics with R)
 Functions and data sets for the text Probability and Statistics with R.

Package: r-cran-patchsynctex
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-patchsynctex_0.1-4-1.ca2004.1_all.deb
Size: 27728
MD5sum: 3a469007fdbb2c6c29d5ab9ddcf75af2
SHA1: 7cb34d3e2af70d90e1dd043508f272a0911cb34c
SHA256: 05cc7aa1d20e3714c0aea427abb0d7eced881de6efcbbb71524c0b6b26df46a8
SHA512: 924bdf4cadf034a2a6c053100dc8fc82a3dd29699c229da1f485881a5cae5661938dc66a8efe7e12d8fadd5dd8bc5f61126643314561168d3fbe7be1b85348a2
Homepage: https://cran.r-project.org/package=patchSynctex
Description: CRAN Package 'patchSynctex' (Communication Between Editor and Viewer for Literate Programs)
 This utility eases the debugging of literate documents ('noweb' files) by
 patching the synchronization information (the '.synctex(.gz)' file) produced
 by 'pdflatex' with concordance information produced by 'Sweave' or 'knitr'
 and 'Sweave' or 'knitr' ; this allows for bilateral communication between a
 text editor (visualizing the 'noweb' source) and a viewer (visualizing the
 resultant 'PDF'), thus bypassing the intermediate 'TeX' file.

Package: r-cran-patchwork
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4191
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gtable, r-cran-rlang, r-cran-cli, r-cran-farver
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridgraphics, r-cran-gridextra, r-cran-ragg, r-cran-testthat, r-cran-vdiffr, r-cran-covr, r-cran-png, r-cran-gt
Filename: pool/dists/focal/main/r-cran-patchwork_1.3.1-1.ca2004.1_all.deb
Size: 3310804
MD5sum: 88fc2bc6fc3c57df2f7657f1b6d1a1e3
SHA1: 309a2cd886ebd4194ec653252d3238fd7b5a13b3
SHA256: 62232cbb2bdd0d898ee39282ddcc77a6eb61759549c9187593844215fbcff097
SHA512: 77469ef9d33eb52be09fc2d4f779c7ed8c3ed1875b8440d4667ca633b12476af9d08ddc414959ea47d01115da267d8a5a92b85c9c2c2bffc3fe30a6a6704d44f
Homepage: https://cran.r-project.org/package=patchwork
Description: CRAN Package 'patchwork' (The Composer of Plots)
 The 'ggplot2' package provides a strong API for sequentially building up a
 plot, but does not concern itself with composition of multiple plots.
 'patchwork' is a package that expands the API to allow for arbitrarily
 complex composition of plots by, among others, providing mathematical
 operators for combining multiple plots. Other packages that try to address
 this need (but with a different approach) are 'gridExtra' and 'cowplot'.

Package: r-cran-patentsview
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-patentsview_0.3.0-1.ca2004.1_all.deb
Size: 84416
MD5sum: a12252cac5149dafaca47625cc94652f
SHA1: 48e7bc84b0465167a8c44a494509da79059466eb
SHA256: a169de096e1826e1badc1d7ef09089f803b845626861f1143987ca1fede06651
SHA512: 94b37718821df13ac7c3a48a97adb33ebd649b2e66c10d00845aabca3522c57db60d88bf75a27906456869ef7dba313355a266b9508291e792bad6dcff108d5a
Homepage: https://cran.r-project.org/package=patentsview
Description: CRAN Package 'patentsview' (An R Client to the 'PatentsView' API)
 Provides functions to simplify the 'PatentsView' API
 (<https://patentsview.org/apis/purpose>) query language, send GET and POST
 requests to the API's seven endpoints, and parse the data that comes back.

Package: r-cran-path.analysis
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corrr, r-cran-corrplot, r-cran-hmisc, r-cran-gplots, r-cran-mathjaxr, r-cran-pastecs, r-cran-diagrammer, r-bioc-complexheatmap, r-cran-metan
Suggests: r-cran-car, r-cran-ggplot2, r-cran-devtools, r-cran-usethis, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-path.analysis_0.1-1.ca2004.1_all.deb
Size: 639036
MD5sum: a1981e37efc8cfe85d46742d5071f7c4
SHA1: 2e573a1266e6fc7b6c66263d7c3dc67cb67a9593
SHA256: b1bd200a19f4768f7de96481e2afd53880f635c028fb6a14f35cb0a45531dcf1
SHA512: a931c39df38b3f91cc16706adb985df25547f4b1b5ed6e53233bdfe433f0a247757457e931d574c0e42de25665c0a86c7cbfaf07bbfe8caeb098f24a669c3840
Homepage: https://cran.r-project.org/package=Path.Analysis
Description: CRAN Package 'Path.Analysis' (Path Coefficient Analysis)
 Facilitates the performance of several analyses, including simple and
 sequential path coefficient analysis, correlation estimate, drawing
 correlogram, Heatmap, and path diagram. When working with raw data, that
 includes one or more dependent variables along with one or more independent
 variables are available, the path coefficient analysis can be conducted. It
 allows for testing direct effects, which can be a vital indicator in path
 coefficient analysis. The process of preparing the dataset rule is explained
 in detail in the vignette file "Path.Analysis_manual.Rmd". You can find this
 in the folders labelled "data" and "~/inst/extdata". Also see: 1)the
 'lavaan', 2)a sample of sequential path analysis in 'metan' suggested by
 Olivoto and Lúcio (2020) <doi:10.1111/2041-210X.13384>, 3)the simple
 'PATHSAS' macro written in 'SAS' by Cramer et al. (1999)
 <doi:10.1093/jhered/90.1.260>, and 4)the semPlot() function of 'OpenMx' as
 initial tools for conducting path coefficient analyses and SEM (Structural
 Equation Modeling). To gain a comprehensive understanding of path
 coefficient analysis, both in theory and practice, see a 'Minitab' macro
 developed by Arminian, A. in the paper by Arminian et al. (2008)
 <doi:10.1080/15427520802043182>.

Package: r-cran-path.chain
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-stringi
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-config, r-cran-yaml, r-cran-fs, r-cran-magrittr, r-cran-logger
Filename: pool/dists/focal/main/r-cran-path.chain_1.0.0-1.ca2004.1_all.deb
Size: 192248
MD5sum: 8212538c3a9a98a3bd2d4f7bca7ece35
SHA1: e99dfce918ff83309cb06d19d78ce1628e696278
SHA256: 02b0e8ba9ae3d3d5f4ff1a90f0cf144d214238aa75d5dca17a25f1f91fc16e6d
SHA512: 2b42c14d7ada8654d122d5a7c3024a963076fa15d99345e297a1b3334123ab46c27c409fb8192abb46658208c4e1cdcd610395beddbf698cdbe84d2c2bd45989
Homepage: https://cran.r-project.org/package=path.chain
Description: CRAN Package 'path.chain' (Concise Structure for Chainable Paths)
 Provides path_chain class and functions, which facilitates loading and
 saving directory structure in YAML configuration files via 'config' package.
 The file structure you created during exploration can be transformed into
 legible section in the config file, and then easily loaded for further
 usage.

Package: r-cran-pathdiagram
Architecture: all
Version: 0.1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shape
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pathdiagram_0.1.9.1-1.ca2004.1_all.deb
Size: 279560
MD5sum: db3e511bc94a9cdf1a86721a0db455ef
SHA1: ce1ca7c4c8017a30ced56b3d47ae355fb83148c2
SHA256: 7130d9c20f64b2782d5e8b3e4fcb5acf7587bbcd50f5c516865bd36d3f26c744
SHA512: 6fd27fabc46f83f0f4fec17bee1e0ac35c26a2055baa0757e78fa28cc1d1ba0dbec34789d0a223cd0163239829527649d42418a38b1eea75e20f1ef5161545d3
Homepage: https://cran.r-project.org/package=pathdiagram
Description: CRAN Package 'pathdiagram' (Basic Functions for Drawing Path Diagrams)
 Implementation of simple functions to draw basic path diagrams just for
 visualization purposes.

Package: r-cran-pathfindr.data
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5191
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pathfindr.data_2.1.0-1.ca2004.1_all.deb
Size: 5274960
MD5sum: 784a7557e4c1cf2fb4291d4ccae87c52
SHA1: a7f5a68079f195f5700ede641d42f6963e789bca
SHA256: b93c26d1f8f562626c33540433ceef6335dc08c52aa788ad2911ea0bd19899b8
SHA512: 92c0b2ee46e5697a19dcb1d3e196cef78e15c624618d9769f9f10585405585bed18c456b3205ec8c61b01b4c9cfe73612f1fc54eb60d42817be8e07e383b072b
Homepage: https://cran.r-project.org/package=pathfindR.data
Description: CRAN Package 'pathfindR.data' (Data Package for 'pathfindR')
 This is a data-only package, containing data needed to run the CRAN package
 'pathfindR', a package for enrichment analysis utilizing active subnetworks.
 This package contains protein-protein interaction network data, data related
 to gene sets and example input/output data.

Package: r-cran-pathfindr
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3155
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pathfindr.data, r-cran-dbi, r-bioc-annotationdbi, r-cran-doparallel, r-cran-foreach, r-cran-rmarkdown, r-bioc-org.hs.eg.db, r-cran-ggplot2, r-cran-ggraph, r-cran-ggupset, r-cran-fpc, r-bioc-ggkegg, r-cran-httr, r-cran-igraph, r-cran-r.utils, r-cran-msigdbr, r-cran-knitr
Suggests: r-cran-testthat, r-cran-covr, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-pathfindr_2.5.0-1.ca2004.1_all.deb
Size: 1893124
MD5sum: 20afc5f3b8b5ab397fd86fa67e96d85a
SHA1: 8ed5fb95a52fd41ba3ddb833b2252e1c4ab9e13d
SHA256: abdda2eab13ae9ce9eef3ea5ef382d3bb47694429b8ef4c2ef53a113694e2e28
SHA512: fde7be9696eb585477ba107a5b3abf36d34d5b427b412f02f7b93f0641bf4cfb45a22da213bc4a6e7fe60f984dfb4cb8cbd3bc872f368e6f7cbe2f654b4d1683
Homepage: https://cran.r-project.org/package=pathfindR
Description: CRAN Package 'pathfindR' (Enrichment Analysis Utilizing Active Subnetworks)
 Enrichment analysis enables researchers to uncover mechanisms underlying a
 phenotype. However, conventional methods for enrichment analysis do not take
 into account protein-protein interaction information, resulting in
 incomplete conclusions. 'pathfindR' is a tool for enrichment analysis
 utilizing active subnetworks. The main function identifies active
 subnetworks in a protein-protein interaction network using a user-provided
 list of genes and associated p values. It then performs enrichment analyses
 on the identified subnetworks, identifying enriched terms (i.e. pathways or,
 more broadly, gene sets) that possibly underlie the phenotype of interest.
 'pathfindR' also offers functionalities to cluster the enriched terms and
 identify representative terms in each cluster, to score the enriched terms
 per sample and to visualize analysis results. The enrichment, clustering and
 other methods implemented in 'pathfindR' are described in detail in Ulgen E,
 Ozisik O, Sezerman OU. 2019. 'pathfindR': An R Package for Comprehensive
 Identification of Enriched Pathways in Omics Data Through Active
 Subnetworks. Front. Genet. <doi:10.3389/fgene.2019.00858>.

Package: r-cran-pathlibr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-magrittr, r-cran-glue, r-cran-logging, r-cran-rlang, r-cran-purrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pathlibr_0.1.0-1.ca2004.1_all.deb
Size: 65856
MD5sum: 3d39b03d9083caefc353ff7a3530fd15
SHA1: 4f64a5b536bf5591f880605c52a73d140288375a
SHA256: 4e388e68279c3fe0d0b55b7eb7318cf0a7001ad6b3d0fa171baa4aceee1f65e7
SHA512: 65917f9945afca1df74576cf070808cc4b8ed69b4a3b61e10c4f3880059fd36e407aa33b2bcaaaca1a0f03a4dafeac5264a6e013b50af416ffb9258976336bf4
Homepage: https://cran.r-project.org/package=pathlibr
Description: CRAN Package 'pathlibr' (OO Path Manipulation in R)
 An OO Interface for path manipulation, emulating pythons "pathlib".

Package: r-cran-pathlit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-timeseries, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-pathlit_0.1.0-1.ca2004.1_all.deb
Size: 31304
MD5sum: 41123099a529f405e51ce0cce44a390a
SHA1: 53fe4ff82e2596e26adca689e2d4c66df789fca1
SHA256: 58083cc12ee4b9d2d8caedcc1cdd8726d557981e6bee930050a5de0a1a726b1a
SHA512: 5d257f91f927840a3c1d0d011c95d46f815bbf61be8f43190a31d70f1051d7f79d3ee1ffd8f34d9deceb1177fc2d33ed28da6be06a5f195f86acf66c68ebd708
Homepage: https://cran.r-project.org/package=pathlit
Description: CRAN Package 'pathlit' (An SDK for the PathLit Engine)
 This wrapper houses PathLit API endpoints for R. The usage of these
 endpoints require the use of an API key which can be obtained at
 <https://www.pathlit.io/docs/cli/>.

Package: r-cran-pathmodelfit
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-pathmodelfit_1.0.5-1.ca2004.1_all.deb
Size: 26368
MD5sum: 206319f008a66186590ccd6a3783a297
SHA1: 49d285c69fac5bdf5df7039b3deb4c69f534055c
SHA256: 75c2c161b952369354f84b4fc44dc4f7c081ff2ff79069b17387097597b7f75d
SHA512: ad848f52758f12e979ed190f6ce8084f246d22e75f2bdc5240714424b2789582d451046775ed113a896ea09d32bcc4b43b56db9cc785c5a8d505ecc25fe38339
Homepage: https://cran.r-project.org/package=pathmodelfit
Description: CRAN Package 'pathmodelfit' (Path Component Fit Indices for Latent Structural Equation Models)
 Functions for computing fit indices for evaluating the path component of
 latent variable structural equation models.  Available fit indices include
 RMSEA-P and NSCI-P originally presented and evaluated by Williams and
 O'Boyle (2011) <doi:10.1177/1094428110391472> and demonstrated by O'Boyle
 and Williams (2011) <doi:10.1037/a0020539> and Williams, O'Boyle, & Yu
 (2020) <doi:10.1177/1094428117736137>. Also included are fit indices
 described by Hancock and Mueller (2011) <doi:10.1177/0013164410384856>.

Package: r-cran-paths
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bart, r-cran-boot, r-cran-gbm, r-cran-ggplot2, r-cran-metr, r-cran-pryr, r-cran-twang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-paths_0.1.1-1.ca2004.1_all.deb
Size: 121760
MD5sum: 0d69fbe5b65461c1b387f82f80074e10
SHA1: dea0d1e332a14a04dc957943117f4909aa20c59f
SHA256: 553dd6b3c51b66787577f024aacac7303804d85d6fd87dd6b83a3f30c21e826c
SHA512: ba5c2ba834d8c56b1ad7a02ce8bf5a89a22435678416569872e83584348fb98b0c2d2051e178d80bcafabbf50979fba82161eaa67d752bfbcc5a21a90fdc9490
Homepage: https://cran.r-project.org/package=paths
Description: CRAN Package 'paths' (An Imputation Approach to Estimating Path-Specific CausalEffects)
 In causal mediation analysis with multiple causally ordered mediators, a set
 of path-specific effects are identified under standard ignorability
 assumptions. This package implements an imputation approach to estimating
 these effects along with a set of bias formulas for conducting sensitivity
 analysis (Zhou and Yamamoto <doi:10.31235/osf.io/2rx6p>). It contains two
 main functions: paths() for estimating path-specific effects and sens() for
 conducting sensitivity analysis. Estimation uncertainty is quantified using
 the nonparametric bootstrap.

Package: r-cran-pathselectmp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mice, r-cran-mplusautomation
Filename: pool/dists/focal/main/r-cran-pathselectmp_1.1-1.ca2004.1_all.deb
Size: 238736
MD5sum: b787d8481a5d730a2551a534f9853d3d
SHA1: 85427bab1e5c0e000a97c47cea8d88ada3e9f3f6
SHA256: 52dd7d4501e4d63c2ffd56ce4d5ad533ba9f608bc98db274db7688350bc3fb01
SHA512: 75d9d62cbe60359bcaa38a42a1e909899c5f62588e6d41765847c1c5463e4e1c7677ad08c2a558c3737f1f4dd0a01bcb2f34f65cd630476b6228296a63556598
Homepage: https://cran.r-project.org/package=PathSelectMP
Description: CRAN Package 'PathSelectMP' (Backwards Variable Selection for Paths using M Plus)
 Primarily for use with datasets containing only categorical variables,
 although continuous variables may be included as independent variables in
 paths. Using M Plus, backward variable selection is performed on all Total,
 Total Indirect, and then Direct effects until none of these effects have
 p-values greater than the specified target p-value. If there are missing
 values in the data, imputations are performed using the Mice package. Then
 selection is performed with the imputed data sets, and results are averaged.

Package: r-cran-pathviewr
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3355
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.matlab, r-cran-data.table, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-fancova, r-cran-purrr, r-cran-ggplot2, r-cran-tidyselect, r-cran-cowplot, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-anomalize, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pathviewr_1.1.8-1.ca2004.1_all.deb
Size: 2183872
MD5sum: 59341db41fd8bd882636275e7e1b550b
SHA1: 986ec5aa5250e9e6e4772ebcf7872b85766e1664
SHA256: 7849e88fa7f35f88ee19841a2c883c02d429de0131d03b30ef58c26ae3af2ddf
SHA512: 1492112272277ccf39133d0650259be105ca472d0b7b026a28b3023208b938f880956bbe04fa7ba8310a5bfc7da13007fd5686446671d9cbccf2ac1cb9335737
Homepage: https://cran.r-project.org/package=pathviewr
Description: CRAN Package 'pathviewr' (Wrangle, Analyze, and Visualize Animal Movement Data)
 Tools to import, clean, and visualize movement data, particularly from
 motion capture systems such as Optitrack's 'Motive', the Straw Lab's
 'Flydra', or from other sources. We provide functions to remove artifacts,
 standardize tunnel position and tunnel axes, select a region of interest,
 isolate specific trajectories, fill gaps in trajectory data, and calculate
 3D and per-axis velocity. For experiments of visual guidance, we also
 provide functions that use subject position to estimate perception of visual
 stimuli.

Package: r-cran-pathwayspace
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4708
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgraphspace, r-cran-scales, r-cran-igraph, r-cran-rann, r-cran-ggplot2, r-cran-ggrepel, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-reder
Filename: pool/dists/focal/main/r-cran-pathwayspace_1.0.1-1.ca2004.1_all.deb
Size: 3434980
MD5sum: 3d09c8f33c2aa61c4c3c9efd6fc9d445
SHA1: ecb98e51ff35665e96681a071077a8cf44c68896
SHA256: 4db810be60f72eae0f2f0c8f55187e527636365d66357ee4ee7ae8235750acce
SHA512: f08d4654b1b6e6f2a2837ba68bf593492d3725160aea316772f62e724cfe875c57b237fa47411b0a27067690025d616b8c5f8f0e7d27d355483d8d505ce47075
Homepage: https://cran.r-project.org/package=PathwaySpace
Description: CRAN Package 'PathwaySpace' (Spatial Projection of Network Signals along Geodesic Paths)
 For a given graph containing vertices, edges, and a signal associated with
 the vertices, the 'PathwaySpace' package performs a convolution operation,
 which involves a weighted combination of neighboring vertices and their
 associated signals. The package then uses a decay function to project these
 signals, creating geodesic paths on a 2D-image space. 'PathwaySpace' could
 have various applications, such as visualizing and analyzing network data in
 a graphical format that highlights the relationships and signal strengths
 between vertices. It can be particularly useful for understanding the
 influence of signals through complex networks. By combining graph theory,
 signal processing, and visualization, the 'PathwaySpace' package provides a
 novel way of representing and analyzing graph data.

Package: r-cran-pathwaytmb
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1936
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-biocgenerics, r-cran-purrr, r-cran-glmnet, r-cran-randomforest, r-cran-survival, r-cran-survminer, r-cran-caret, r-cran-data.table, r-cran-rcolorbrewer, r-cran-proc, r-bioc-maftools, r-bioc-clusterprofiler
Suggests: r-cran-stringi, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-biocmanager, r-cran-xfun, r-cran-e1071, r-cran-qpdf, r-cran-tinytex, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pathwaytmb_0.1.3-1.ca2004.1_all.deb
Size: 777688
MD5sum: 1800869045d6d705c92e07a630141f0b
SHA1: 117cdb2a9cdd59d73d98ae0ed03035347ec1c469
SHA256: dcd2222fe359a27bfbafdec2491d57da905f8c3df2772d9290d225f2b7c19416
SHA512: 4bdaca0a46595109b77a092b79c7a1a6b435bd454776c3386c20a092dd16a4831906c87f41e875ab7d187fdcfb775e43db2166740801c1f3bced702244ba93a4
Homepage: https://cran.r-project.org/package=pathwayTMB
Description: CRAN Package 'pathwayTMB' (Pathway Based Tumor Mutational Burden)
 A systematic bioinformatics tool to develop a new pathway-based gene panel
 for tumor mutational burden (TMB) assessment (pathway-based tumor mutational
 burden, PTMB), using somatic mutations files in an efficient manner from
 either The Cancer Genome Atlas sources or any in-house studies as long as
 the data is in mutation annotation file (MAF) format. Besides, we develop a
 multiple machine learning method using the sample's PTMB profiles to
 identify cancer-specific dysfunction pathways, which can be a biomarker of
 prognostic and predictive for cancer immunotherapy.

Package: r-cran-pathwayvote
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-annotationdbi, r-bioc-clusterprofiler, r-cran-future, r-cran-furrr, r-bioc-go.db, r-bioc-org.hs.eg.db, r-cran-parallelly, r-bioc-reactome.db
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pathwayvote_0.1.1-1.ca2004.1_all.deb
Size: 58816
MD5sum: e180541b6042296ee45aef6c931ff58c
SHA1: c620fbfe3fa521227ea1aac674e3806612ca47c6
SHA256: 30f0456869011060bcbd5e6e85bb1dce78c37c8cb7d63eeaae4e8544027052ea
SHA512: 821417c9c8220217190a9a14f4b4b2ace178be86b992c0b15f3dda3b2a19271dbc827941e313576cdb7c64c88b458ebc1d68456190bb79db3689c7d5967a8972
Homepage: https://cran.r-project.org/package=PathwayVote
Description: CRAN Package 'PathwayVote' (Robust Pathway Enrichment for DNA Methylation Studies UsingEnsemble Voting)
 Performs pathway enrichment analysis using a voting-based framework that
 integrates CpG–gene regulatory information from expression quantitative
 trait methylation (eQTM) data. For a grid of top-ranked CpGs and filtering
 thresholds, gene sets are generated and refined using an entropy-based
 pruning strategy that balances information richness, stability, and probe
 bias correction. In particular, gene lists dominated by genes with
 disproportionately high numbers of CpG mappings are penalized to mitigate
 active probe bias—a common artifact in methylation data analysis. Enrichment
 results across parameter combinations are then aggregated using a voting
 scheme, prioritizing pathways that are consistently recovered under diverse
 settings and robust to parameter perturbations.

Package: r-cran-patientlevelprediction
Architecture: all
Version: 6.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3243
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-andromeda, r-cran-cyclops, r-cran-databaseconnector, r-cran-digest, r-cran-dplyr, r-cran-featureextraction, r-cran-matrix, r-cran-memuse, r-cran-parallellogger, r-cran-proc, r-cran-prroc, r-cran-rlang, r-cran-sqlrender, r-cran-tidyr
Suggests: r-cran-curl, r-cran-eunomia, r-cran-glmnet, r-cran-ggplot2, r-cran-gridextra, r-cran-iterativehardthresholding, r-cran-knitr, r-cran-lightgbm, r-cran-metrics, r-cran-mgcv, r-cran-ohdsishinyappbuilder, r-cran-polspline, r-cran-readr, r-cran-resourceselection, r-cran-resultmodelmanager, r-cran-reticulate, r-cran-rmarkdown, r-cran-rsqlite, r-cran-scoring, r-cran-survival, r-cran-survminer, r-cran-testthat, r-cran-withr, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-patientlevelprediction_6.4.1-1.ca2004.1_all.deb
Size: 2160200
MD5sum: ceff43e46c73d48550325f1e8073fcea
SHA1: 733d9869dac0a5c3b515723b975c88026c82dee0
SHA256: 913e8a3535930dbeabaefbbe384b4091eb2100b7f1b6cfd9b49b45f9cd422d60
SHA512: 572c879acd1cb7bd2096dc3ab7cf4228c9aa406c9af99809312508fe30765c8dd946d2985175094a0e14fd4451d69a5e8c45755116784694c3fa09e5598dd025
Homepage: https://cran.r-project.org/package=PatientLevelPrediction
Description: CRAN Package 'PatientLevelPrediction' (Develop Clinical Prediction Models Using the Common Data Model)
 A user friendly way to create patient level prediction models using the
 Observational Medical Outcomes Partnership Common Data Model. Given a cohort
 of interest and an outcome of interest, the package can use data in the
 Common Data Model to build a large set of features. These features can then
 be used to fit a predictive model with a number of machine learning
 algorithms. This is further described in Reps (2017)
 <doi:10.1093/jamia/ocy032>.

Package: r-cran-patientprofiles
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3879
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cdmconnector, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-omopgenerics, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-bit64, r-cran-codelistgenerator, r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-dt, r-cran-duckdb, r-cran-ggplot2, r-cran-glue, r-cran-gt, r-cran-here, r-cran-hmisc, r-cran-knitr, r-cran-odbc, r-cran-omock, r-cran-patchwork, r-cran-rmarkdown, r-cran-rpostgres, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tictoc, r-cran-withr
Filename: pool/dists/focal/main/r-cran-patientprofiles_1.4.1-1.ca2004.1_all.deb
Size: 728928
MD5sum: c4d7e7f8df3c0f9d0c85c6ad4d0759d7
SHA1: d37c42177ee35989a3b3e465debdc927bad4be8b
SHA256: 58c927ef7ec4dd1bda21998c0f7ebec186d257da5336e80f2f531a25740eba8a
SHA512: ca11f9e869126f83d83fe435cb668b05d3748f6806f4809b72c748d9c920f6326e00cd01918e42497bd69b91eebe82878bb70d3c78b6be2bdea8b5b41986a62a
Homepage: https://cran.r-project.org/package=PatientProfiles
Description: CRAN Package 'PatientProfiles' (Identify Characteristics of Patients in the OMOP Common DataModel)
 Identify the characteristics of patients in data mapped to the Observational
 Medical Outcomes Partnership (OMOP) common data model.

Package: r-cran-patientprofilesvis
Architecture: all
Version: 2.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clinutils, r-cran-ggplot2, r-cran-plyr, r-cran-cowplot, r-cran-reshape2, r-cran-knitr, r-cran-stringr, r-cran-gridextra, r-cran-scales
Suggests: r-cran-pander, r-cran-shiny, r-cran-testthat, r-cran-rmarkdown, r-cran-gtable, r-cran-pdftools, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-patientprofilesvis_2.0.9-1.ca2004.1_all.deb
Size: 2438952
MD5sum: 264adbc3febca554e506b36fedbaf05f
SHA1: c268722c3eb62fa738f106bc5c0389fd9d64940d
SHA256: be2060f5a436e55f1281d91367427cdb3bd3846b02cde798f444b1c343cc0f20
SHA512: 09d03819a1c4a2156c1e4b7469de814703bf9f928487b2f3bb11b2faa0bbc84a1ec027fb12cb339da98d9391ee8164764755ffb6f3412e5c6825723fce66617d
Homepage: https://cran.r-project.org/package=patientProfilesVis
Description: CRAN Package 'patientProfilesVis' (Visualization of Patient Profiles)
 Creation of patient profile visualizations for exploration, diagnostic or
 monitoring purposes during a clinical trial.  These static visualizations
 display a patient-specific overview of the evolution during the trial time
 frame of parameters of interest (as laboratory, ECG, vital signs), presence
 of adverse events, exposure to a treatment; associated with metadata patient
 information, as demography, concomitant medication.  The visualizations can
 be tailored for specific domain(s) or endpoint(s) of interest.
 Visualizations are exported into patient profile report(s) or can be
 embedded in custom report(s).

Package: r-cran-patpro
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-gridextra, r-cran-plyr, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-patpro_1.1.0-1.ca2004.1_all.deb
Size: 107652
MD5sum: 153b3a505223db86b597db1e8d02bcdb
SHA1: c56d126c768f5af5e5ee5252d8ed476ad4ff68af
SHA256: d30a087b5043133e8b9d90e627dde074bfcb8e42340374387a90c5c788eff2c4
SHA512: 70e5acca8878640dcd230f4848dff7e1688fdebf8a9583a476ce4eb0662e39dc4774850e33494a4332e5ec913ec3395b039a6845d62807d0dba06b92a2d4860a
Homepage: https://cran.r-project.org/package=patPRO
Description: CRAN Package 'patPRO' (Visualizing Temporal Microbiome Data)
 Quickly and easily visualize longitudinal microbiome profiles using standard
 output from the QIIME microbiome analysis toolkit (see <http://qiime.org>
 for more information).

Package: r-cran-patrick
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-patrick_0.3.0-1.ca2004.1_all.deb
Size: 21352
MD5sum: 5436b20cb2db326d7fe753a0c80e1a2d
SHA1: 23d09b2104bb03fcd1bb4fd9f4bd9302c8a778d0
SHA256: bab74d6ae8006e7518d4e4622bffbb4ec247df9e4e7589205ae50e90e94010eb
SHA512: 3e8c0e8ad4418de661906e5e9a0927125c82894635a3e2daad0b831424cf91d42568d93797b93f944e7804757f57e3c43a31b8e303d6752bf37d1b0c9343825d
Homepage: https://cran.r-project.org/package=patrick
Description: CRAN Package 'patrick' (Parameterized Unit Testing)
 This is an extension of the 'testthat' package that lets you add parameters
 to your unit tests. Parameterized unit tests are often easier to read and
 more reliable, since they follow the DNRY (do not repeat yourself) rule.

Package: r-cran-pattern.checks
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pattern.checks_0.1.0-1.ca2004.1_all.deb
Size: 23608
MD5sum: 2ed63c893175d673026f4f5f5cd9741e
SHA1: 16a8f0c7d3734ada6a92a654ffd9f33e06e3d286
SHA256: 2f48016b440268727baa697c90670d194b84de76a1acd522aab832671cec8e5e
SHA512: 18c0dd2071ad440f0692dddece14149e5dd587e88e14bce432c60629cf8694441355d73987d429786dbc845cf0625ef50708514bf543e2b8fc3ab43b5260eb8e
Homepage: https://cran.r-project.org/package=pattern.checks
Description: CRAN Package 'pattern.checks' (Identifies Patterned Responses in Scales)
 Identifies the entries with patterned responses for psychometric scales. The
 patterns included in the package are identical (a, a, a), ascending (a, b,
 c), descending (c, b, a), alternative (a, b, a, b / a, b, c, a, b, c).

Package: r-cran-patternator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-plyr
Filename: pool/dists/focal/main/r-cran-patternator_0.1.0-1.ca2004.1_all.deb
Size: 29080
MD5sum: fd40c89c2c02d13843e2b618bcc3ea8f
SHA1: 09f9b746609e6c8a2b856b1b2d51fc5f6f808c2f
SHA256: 1e1b728eb9a4c9e4bf386cf66053ef977050f0d2e9c4f3d4b472f4c15ae7a1cb
SHA512: 9aa75515b79bbe7f8a7714447051806fb621661ae433f637579f0f4f32653bf3330e4685f32fec7a2e6d0120c1c11cd3f4d9d123b18727d15874d8bc93635327
Homepage: https://cran.r-project.org/package=patternator
Description: CRAN Package 'patternator' (Feature Extraction from Female Brown Anole Lizard DorsalPatterns)
 Provides a set of functions to efficiently recognize and clean the
 continuous dorsal pattern of a female brown anole lizard (Anolis sagrei)
 traced from 'ImageJ', an open platform for scientific image analysis (see
 <https://imagej.net> for more information), and extract common features such
 as the pattern sinuosity indices, coefficient of variation, and max-min
 width.

Package: r-cran-patterncausality
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3929
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plot3d, r-cran-ggplot2, r-cran-reshape2, r-cran-ggthemes, r-cran-tidyr, r-cran-statebins, r-cran-ggrepel, r-cran-rcolorbrewer, r-cran-scales, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-lintr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-patterncausality_0.2.1-1.ca2004.1_all.deb
Size: 3348948
MD5sum: 0ed864823c1ff84aae4456ed35829928
SHA1: 8fb3b760eb991cbac6b5e2a8e45b532809acf6ba
SHA256: e425ce6e9d2049b0125bfc6c43613a524342cca1c937b70b6f0968ab386dbd68
SHA512: 0c58287cda39297fc101c1da8160c5da94dde29e1334cb17b656fe15447ba6a3016ed91b649f9233f085c13dc084c324eb7c94fb023eccbb00e4f06237cf7e9b
Homepage: https://cran.r-project.org/package=patterncausality
Description: CRAN Package 'patterncausality' (Pattern Causality Algorithm)
 A comprehensive package for detecting and analyzing causal relationships in
 complex systems using pattern-based approaches. Key features include state
 space reconstruction, pattern identification, and causality strength
 evaluation.

Package: r-cran-patternize
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 923
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-abind, r-cran-morpho, r-cran-dplyr, r-cran-imager, r-cran-magrittr, r-cran-purrr, r-cran-vegan, r-cran-rniftyreg, r-cran-geomorph, r-cran-clusterr
Filename: pool/dists/focal/main/r-cran-patternize_0.0.5-1.ca2004.1_all.deb
Size: 808088
MD5sum: b04b64689c6d62d068d271a25686efe6
SHA1: b71adf77535b9701e68f9001e42f9261ec37e839
SHA256: 2cceea9a600c49672de2931c926ddb755560ca8df8997f1658ccc4c67ef53ffd
SHA512: c4633fc1b87758dd3d808199f073ad60f7d0ed4d78f1c7b296d531f149d1ff988d2a264ba47b59f0fb0b64f0113be5166c162e3eb8bf00b049b3d6fef52ee8a2
Homepage: https://cran.r-project.org/package=patternize
Description: CRAN Package 'patternize' (Quantification of Color Pattern Variation)
 Quantification of variation in organismal color patterns as obtained from
 image data. Patternize defines homology between pattern positions across
 images either through fixed landmarks or image registration. Pattern
 identification is performed by categorizing the distribution of colors using
 RGB thresholds or image segmentation.

Package: r-cran-patterns
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-cluster, r-cran-e1071, r-cran-gplots, r-cran-igraph, r-cran-jetset, r-cran-lars, r-cran-lattice, r-bioc-limma, r-bioc-mfuzz, r-cran-movmf, r-cran-nnls, r-cran-plotrix, r-cran-repmis, r-cran-selectboost, r-cran-tnet, r-cran-vgam, r-cran-wgcna
Suggests: r-cran-animation, r-bioc-biobase, r-bioc-biomart, r-cran-c060, r-cran-cascadedata, r-cran-elasticnet, r-cran-glmnet, r-cran-knitr, r-cran-pixmap, r-cran-r.rsp, r-cran-rmarkdown, r-cran-spls
Filename: pool/dists/focal/main/r-cran-patterns_1.5-1.ca2004.1_all.deb
Size: 1515444
MD5sum: 558140501583cded426d515d71c2ebf1
SHA1: cfa9b2a45e24a6de8e53f20e70f7eecb87a46baf
SHA256: 49e83aa8bc5ef095df858adcbbb9b62445c63216196ec5d61882922283542386
SHA512: f4614bb8268ca1fc52480fd1556bbf845d330c29c475a3042865cf1d4840a0fb7eb203867e01d33017495fc618fbba80bf936b78fd9e643db2c6e8ac93b2ca6b
Homepage: https://cran.r-project.org/package=Patterns
Description: CRAN Package 'Patterns' (Deciphering Biological Networks with Patterned HeterogeneousMeasurements)
 A modeling tool dedicated to biological network modeling (Bertrand and
 others 2020, <doi:10.1093/bioinformatics/btaa855>). It allows for single or
 joint modeling of, for instance, genes and proteins. It starts with the
 selection of the actors that will be the used in the reverse engineering
 upcoming step. An actor can be included in that selection based on its
 differential measurement (for instance gene expression or protein abundance)
 or on its time course profile. Wrappers for actors clustering functions and
 cluster analysis are provided. It also allows reverse engineering of
 biological networks taking into account the observed time course patterns of
 the actors. Many inference functions are provided and dedicated to get
 specific features for the inferred network such as sparsity, robust links,
 high confidence links or stable through resampling links. Some simulation
 and prediction tools are also available for cascade networks (Jung and
 others 2014, <doi:10.1093/bioinformatics/btt705>). Example of use with
 microarray or RNA-Seq data are provided.

Package: r-cran-pavo
Architecture: all
Version: 2.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2080
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-future.apply, r-cran-geometry, r-cran-lightr, r-cran-magick, r-cran-farver, r-cran-plot3d, r-cran-progressr, r-cran-sf, r-cran-viridislite
Suggests: r-cran-alphashape3d, r-cran-imager, r-cran-knitr, r-cran-mapproj, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-pavo_2.9.0-1.ca2004.1_all.deb
Size: 1883204
MD5sum: eed2bdbf53cb3a828f04432fb1e3e77d
SHA1: f2a09f38e66264dc26102db2c58839f0c04eafde
SHA256: fe894b6302a5178524e5c1f012f9969e05cceba59f594212a779b1e01398c7e3
SHA512: fdad3a04605aba46b3da7d36c7388e84ffa069bcd871865805c89975fc2440d2096ae051faa4a438c7994471958e397e30cafc7194f2a7ffaf71288c492c39c8
Homepage: https://cran.r-project.org/package=pavo
Description: CRAN Package 'pavo' (Perceptual Analysis, Visualization and Organization of SpectralColour Data)
 A cohesive framework for the spectral and spatial analysis of colour
 described in Maia, Eliason, Bitton, Doucet & Shawkey (2013)
 <doi:10.1111/2041-210X.12069> and Maia, Gruson, Endler & White (2019)
 <doi:10.1111/2041-210X.13174>.

Package: r-cran-pawacc
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 955
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sparsem
Filename: pool/dists/focal/main/r-cran-pawacc_1.2.3-1.ca2004.1_all.deb
Size: 212764
MD5sum: 3aaaba2ef0a439068496f4fcf1c6ed42
SHA1: 06cc321578771328edd0fc45ec2f985ae317dc71
SHA256: 688945332dc32ae109f09c589d3cce299418fb35d4c9887fa6e7f4136354c38b
SHA512: bb4988d9057cfa2b7a1f32ed1d7788c1662fe84bb43132db416dffedbcea2b7c42b10820a08da98315de61d0c1d78cd692932e7c95abed9e337e6bbf51cf2fe2
Homepage: https://cran.r-project.org/package=pawacc
Description: CRAN Package 'pawacc' (Physical Activity with Accelerometers)
 Functions to process, format and store ActiGraph GT1M and GT3X accelerometer
 data.

Package: r-cran-paws.analytics
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11012
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.analytics_0.9.0-1.ca2004.1_all.deb
Size: 9506416
MD5sum: e2ce4fac219f7643c6543e80f8e7fd86
SHA1: 4238ebd09d16dfe6b233b2df0c906689f7a7ac8e
SHA256: 0ad3f981fe6961df8e044ad00b59e02e067b551b2c0c7da667b6b5ab02c5f29f
SHA512: c8f444d6b48e24915ed2d6f166b0fa81940d22b5ee604aff49ba72cceee9ae1e9af8d408b98d2e89336baa9b7e2398d5b9d83d86b9614c12c61e680b843d8c0e
Homepage: https://cran.r-project.org/package=paws.analytics
Description: CRAN Package 'paws.analytics' ('Amazon Web Services' Analytics Services)
 Interface to 'Amazon Web Services' 'analytics' services, including 'Elastic
 MapReduce' 'Hadoop' and 'Spark' big data service, 'Elasticsearch' search
 engine, and more <https://aws.amazon.com/>.

Package: r-cran-paws.application.integration
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1634
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.application.integration_0.9.0-1.ca2004.1_all.deb
Size: 1527968
MD5sum: 5f3962793a53a548344ca5718c1a84e0
SHA1: 27a6e3d6204b07fd44e88dc1a15315ee8790624a
SHA256: f3b4a2dd9546097ddc4bd7d4bab1199326e0169e18789a691ab9be3dc6efbf5b
SHA512: 1880709c5976db7d6fa73e88e912ad4634f8985922037bd756ec11e40e12ed98343ccfa312ee97291630985b88b8bb7974db069441fa0e8229eaba32bb4fd5af
Homepage: https://cran.r-project.org/package=paws.application.integration
Description: CRAN Package 'paws.application.integration' ('Amazon Web Services' Application Integration Services)
 Interface to 'Amazon Web Services' application integration services,
 including 'Simple Queue Service' ('SQS') message queue, 'Simple Notification
 Service' ('SNS') publish/subscribe messaging, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.compute
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6953
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.compute_0.9.0-1.ca2004.1_all.deb
Size: 6451228
MD5sum: 8fb6c015ac66ddcb9950630d511fe1da
SHA1: 049833437c34971561e1d37c3696cfa9f7ba5b36
SHA256: c171292306dc95f7974b9cf10a20b45188eeb05b7054671133f01e08284179bd
SHA512: fde79f27c4bbacaff0f9eec4079636c29f71312f0a6c7d2ae441ce82e29eddd9525ec28bd9dac0e052ff8deb4cdc965f5188a991dbd5733046faa1770f6b4eb3
Homepage: https://cran.r-project.org/package=paws.compute
Description: CRAN Package 'paws.compute' ('Amazon Web Services' Compute Services)
 Interface to 'Amazon Web Services' compute services, including 'Elastic
 Compute Cloud' ('EC2'), 'Lambda' functions-as-a-service, containers, batch
 processing, and more <https://aws.amazon.com/>.

Package: r-cran-paws.cost.management
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.cost.management_0.9.0-1.ca2004.1_all.deb
Size: 857636
MD5sum: 97eef026b23b43786e6eca0aac377b28
SHA1: 48d2a1d7726b6f2edc3942b8e60cfd04c111597f
SHA256: 25a4ed34f5a02654ed22d4e6f7830870a3bf4f101246a8436951a015f37f9966
SHA512: 5aace9c5581ba7549a35905705605be5f4f7ccf5ecc0a0bb098d04bd0cddeef1ce6e9ed1666c3b8fec48599e2e4d7c65dcc8ab91c4c83c64bf3a8a7ae39f96d5
Homepage: https://cran.r-project.org/package=paws.cost.management
Description: CRAN Package 'paws.cost.management' ('Amazon Web Services' Cost Management Services)
 Interface to 'Amazon Web Services' cost management services, including cost
 and usage reports, budgets, pricing, and more <https://aws.amazon.com/>.

Package: r-cran-paws.customer.engagement
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3749
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.customer.engagement_0.9.0-1.ca2004.1_all.deb
Size: 3395216
MD5sum: af4abea9703c66c7feb34af035bfee0a
SHA1: 45ded172809312c2d6f41a84d166769aae8a82f4
SHA256: d897bcd250745983a2b068f26e316148e0d8d66a0fb390443c6608c9009626b5
SHA512: fa0ffaedfa43c0591af07e9e6bc1cc9be181623252de4915c74e9f30747de2e2fd2b464d0435f9e2e5161e8e4eef4f55d65077fb446af79494316913f3b7ab2b
Homepage: https://cran.r-project.org/package=paws.customer.engagement
Description: CRAN Package 'paws.customer.engagement' ('Amazon Web Services' Customer Engagement Services)
 Interface to 'Amazon Web Services' customer engagement services, including
 'Simple Email Service', 'Connect' contact center service, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.database
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4726
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.database_0.9.0-1.ca2004.1_all.deb
Size: 4395088
MD5sum: 7becd8ba985236ff6183df207d4e972e
SHA1: 079e3b0482d9d6f20afd7260b3e67a576f1a4467
SHA256: c705eb56ebca108e908c05a6d3eacc450a4e457374143e90dae22b3d681ba146
SHA512: 74bfe9324a5cd08bf3429b9e688cef6da514b16c2e23af77cce7b0677bc29fd6255887c3be3b2a70158703d6a08146e0998c1f7fec2fb07cddad79641621068e
Homepage: https://cran.r-project.org/package=paws.database
Description: CRAN Package 'paws.database' ('Amazon Web Services' Database Services)
 Interface to 'Amazon Web Services' database services, including 'Relational
 Database Service' ('RDS'), 'DynamoDB' 'NoSQL' database, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.developer.tools
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2822
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.developer.tools_0.9.0-1.ca2004.1_all.deb
Size: 2600632
MD5sum: 7b086fc5a8a2a28ace210379092b3d46
SHA1: 4c0bbd16bd03bba921601cfb11b0c56685a1d627
SHA256: 11916ad1c0748cf52ccd257b23dc26a185962cbfdeec963672a4e5becc4ef3d5
SHA512: b3eeba760b469c0ea101a88675554e3957565cad6b26af612b50b3677a1b0e55017cb46e2b3f5cbdc7e8358f78979d38014c3bf59c4fe064f9c1ee748369ff16
Homepage: https://cran.r-project.org/package=paws.developer.tools
Description: CRAN Package 'paws.developer.tools' ('Amazon Web Services' Developer Tools Services)
 Interface to 'Amazon Web Services' developer tools services, including
 version control, continuous integration and deployment, and more
 <https://aws.amazon.com/products/developer-tools/>.

Package: r-cran-paws.end.user.computing
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1587
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.end.user.computing_0.9.0-1.ca2004.1_all.deb
Size: 1444652
MD5sum: 177bcaa5de350f7f9d7cb7281e0eb186
SHA1: 8c341b1eed5c8feeb51962ab2b74951fb3af418b
SHA256: 124c33c861b68e526ff20fa7ab40ead583460348fba0c19475489f36a9268c3f
SHA512: dc45549370b4f813e1d2576c747622d0bf6662fa598163c40aeb0b0c00739d58fe0d513443d1284cd6b5a40d96aa90134b6b2dc6f9ee37be2c433474d573a807
Homepage: https://cran.r-project.org/package=paws.end.user.computing
Description: CRAN Package 'paws.end.user.computing' ('Amazon Web Services' End User Computing Services)
 Interface to 'Amazon Web Services' end user computing services, including
 collaborative document editing, mobile intranet, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.machine.learning
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6404
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.machine.learning_0.9.0-1.ca2004.1_all.deb
Size: 5836644
MD5sum: 83cdb57cbcb8a98342f71f506984571c
SHA1: a13c4bd882af1a600ac9ee2c44465d0874f1a980
SHA256: 5ee6668821ec244e51b54c1808ff7c804a51fa8aa8c92e804fb2c91809fe3e20
SHA512: 504f6b1100806b0ed0a286c4069e3f945d4a6b88d6450482e427498ef24eeff63ad0b52c1724c66b18c9b2d3db3a605b4fa8bf4d6bc188be3abb47c66d553305
Homepage: https://cran.r-project.org/package=paws.machine.learning
Description: CRAN Package 'paws.machine.learning' ('Amazon Web Services' Machine Learning Services)
 Interface to 'Amazon Web Services' machine learning services, including
 'SageMaker' managed machine learning service, natural language processing,
 speech recognition, translation, and more
 <https://aws.amazon.com/machine-learning/>.

Package: r-cran-paws.management
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6645
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.management_0.9.0-1.ca2004.1_all.deb
Size: 6090948
MD5sum: 808414eeff7085ae36219371a6b38cec
SHA1: 3e1cd7c0a9c94cc99c0fa11b1d02c327e19fac4f
SHA256: 876bc2978e2aea956863e61c1467e4646a999e0009f0301e22b14483c9b2bf78
SHA512: e6dc3af3152412ec7ca9d992d305992d8672cc32bc26a18da31571e68a2c0a7885a31934c7c4b7c05005923f520e9d6fff4f41e3da8348f749b85ff3b0b93caa
Homepage: https://cran.r-project.org/package=paws.management
Description: CRAN Package 'paws.management' ('Amazon Web Services' Management & Governance Services)
 Interface to 'Amazon Web Services' management and governance services,
 including 'CloudWatch' application and infrastructure monitoring, 'Auto
 Scaling' for automatically scaling resources, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.networking
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4605
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.networking_0.9.0-1.ca2004.1_all.deb
Size: 4192944
MD5sum: 59537c23e4767c3968a74b1bebfab361
SHA1: 3937e8587260d892a8649ad0a240fb82f9efcc86
SHA256: 27867032f690f4ddd345221464057309fc063c90f478fdfbf4e5f8f8e2137b76
SHA512: ef2d9a0e0b56e8b9ac31d0c93e58fecde92ddadefef876693631466ec588eabaff52b0cc234e9e9cf0f42d6f673e5ff08551429202278aa963e67ab87a6cd403
Homepage: https://cran.r-project.org/package=paws.networking
Description: CRAN Package 'paws.networking' ('Amazon Web Services' Networking & Content Delivery Services)
 Interface to 'Amazon Web Services' networking and content delivery services,
 including 'Route 53' Domain Name System service, 'CloudFront' content
 delivery, load balancing, and more <https://aws.amazon.com/>.

Package: r-cran-paws.security.identity
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6970
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.security.identity_0.9.0-1.ca2004.1_all.deb
Size: 6380748
MD5sum: 71844ec33e47020040ddf5ed99342fd1
SHA1: 6fc566e04a426fc6a691d8ae6fdfedaef6e41acc
SHA256: decd5dbcb0810eb39a50d02b1248a8212fb94dbd856803c22ba6ff629f57abd2
SHA512: f28d0a36172712e539bd615da2b14acf5250ea49f08d01855d04d8a477c1220d770861e2e727645c13639d0b6aa1574b3381e7e652a2c2cd97245ed8eb720de3
Homepage: https://cran.r-project.org/package=paws.security.identity
Description: CRAN Package 'paws.security.identity' ('Amazon Web Services' Security, Identity, & Compliance Services)
 Interface to 'Amazon Web Services' security, identity, and compliance
 services, including the 'Identity & Access Management' ('IAM') service for
 managing access to services and resources, and more
 <https://aws.amazon.com/>.

Package: r-cran-paws.storage
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3037
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.common
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws.storage_0.9.0-1.ca2004.1_all.deb
Size: 2826720
MD5sum: 2ad45ed7cd028791498d2d8af19953db
SHA1: 067caa28420493910bfe88f756c909977195210a
SHA256: 2439cd507880baec9a2a0ae5887e985f262fa761272bb9be3743d12e81a92d65
SHA512: e68edb222c771f3ab854f7d210137923246f9b83e1fba1a9026b048fcd2fab2ab47fff4b010eee2236d80515d32726c41dfe1534ae367de866aaca41684338f2
Homepage: https://cran.r-project.org/package=paws.storage
Description: CRAN Package 'paws.storage' ('Amazon Web Services' Storage Services)
 Interface to 'Amazon Web Services' storage services, including 'Simple
 Storage Service' ('S3') and more <https://aws.amazon.com/>.

Package: r-cran-paws
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3064
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws.analytics, r-cran-paws.application.integration, r-cran-paws.common, r-cran-paws.compute, r-cran-paws.cost.management, r-cran-paws.customer.engagement, r-cran-paws.database, r-cran-paws.developer.tools, r-cran-paws.end.user.computing, r-cran-paws.machine.learning, r-cran-paws.management, r-cran-paws.networking, r-cran-paws.security.identity, r-cran-paws.storage
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-paws_0.9.0-1.ca2004.1_all.deb
Size: 2871676
MD5sum: 4316ed901dd2840b0e94f3d4b38cf1d7
SHA1: e78b3d3aabc39374a5d9449dd1a083acb2d680f1
SHA256: 23573f146187565639673106767bcf43c649399860f5320ab9cfb8ed9333ac27
SHA512: 4cf0a9e18a6abb2a23ee6f1dfe1be484c3966941ec2445b833afc8daf7216e010ed4da517dc329829ff6accfb8c176c3140b3bed90fd319aa4d406ad98679a29
Homepage: https://cran.r-project.org/package=paws
Description: CRAN Package 'paws' (Amazon Web Services Software Development Kit)
 Interface to Amazon Web Services <https://aws.amazon.com>, including
 storage, database, and compute services, such as 'Simple Storage Service'
 ('S3'), 'DynamoDB' 'NoSQL' database, and 'Lambda' functions-as-a-service.

Package: r-cran-pawscore
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1278
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brglm2, r-cran-signal
Filename: pool/dists/focal/main/r-cran-pawscore_1.0.3-1.ca2004.1_all.deb
Size: 1033336
MD5sum: 75a7d94df86294177250278d609e64c4
SHA1: c2a2f8e8145d11829cf824b5ad4fe4cdeffc266c
SHA256: 15aa2a0b699b3bc8df9f73fd39a89f3a5637bcd62f57890fc86a4dc6a1515c85
SHA512: f93f09356055f50a214bea0f43c8c093b379b6009de09722bae9ab25bd17fbeca58a50ead5981da6c06817f298665fcd5d2ba366cdc741d8861fbc30724282ec
Homepage: https://cran.r-project.org/package=pawscore
Description: CRAN Package 'pawscore' (Pain Assessment at Withdrawal Speeds (PAWS))
 Automated pain scoring from paw withdrawal tracking data. Based on Jones et
 al. (2020) "A machine-vision approach for automated pain measurement at
 millisecond timescales" <doi:10.7554/eLife.57258>.

Package: r-cran-pbanova
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-rmisc, r-cran-plyr, r-cran-desctools, r-cran-lmtest, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-pbanova_0.1.0-1.ca2004.1_all.deb
Size: 75900
MD5sum: c0d1c3e5ee2ae2694e920d4f0d09455f
SHA1: 648b95ccf5570ae3bfce2106fdbd123931aab954
SHA256: 63f5e2147ef8fb36ab965d837e633f2451eb2a172268b4021bedb1db00bfadf3
SHA512: 61a9a4cd715215730e80368846700a61ebb2fc4bb955f3f78425e8c3f1df7fd0b38cc6a6d214baaa08d2f6377f88dc56ffd60fdf90cbefb3ceec91ad850c41ad
Homepage: https://cran.r-project.org/package=pbANOVA
Description: CRAN Package 'pbANOVA' (Parametric Bootstrap for ANOVA Models)
 Parametric bootstrap (PB) has been used for three-way ANOVA model with
 unequal group variances.

Package: r-cran-pbapply
Architecture: all
Version: 1.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-shiny, r-cran-future, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-pbapply_1.7-2-1.ca2004.1_all.deb
Size: 99508
MD5sum: 5d3c03e692b5f401fc794d0f961b1246
SHA1: 04389076798fed16b1bf3f1478e54b3a025f2c84
SHA256: 3ea4bdb181516d9e90ff4384eef972f04c31c8dcb21c8ecc325b0356a29839be
SHA512: d53be659a41f37a6e2718900883e7e886b184ebdef55928041f968091281cf1de21a7c563f93aef529d4ecd35902461bd495095b1a0dd47c580b9ef016001f9e
Homepage: https://cran.r-project.org/package=pbapply
Description: CRAN Package 'pbapply' (Adding Progress Bar to '*apply' Functions)
 A lightweight package that adds progress bar to vectorized R functions
 ('*apply'). The implementation can easily be added to functions where
 showing the progress is useful (e.g. bootstrap). The type and style of the
 progress bar (with percentages or remaining time) can be set through
 options.  Supports several parallel processing backends including future.

Package: r-cran-pbbd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ibd
Filename: pool/dists/focal/main/r-cran-pbbd_1.0.0-1.ca2004.1_all.deb
Size: 24040
MD5sum: 7b46567ad9eba25ae3b9306ca2f73f84
SHA1: 2d9dbcc45c14b7cb0348fe1027492abcaadb868c
SHA256: 6584b3929d533f9a2eea736f3d8e7f9099ed3dc6a46debc00570614840653c8e
SHA512: 83c7b43eee06357902af8f5bf3667d37ce451c279efbd4a4682c3b423900d9e8847d8f34ea2b1d87d6af52fb138c8858d40266b60a0298883108d4983a4dca4e
Homepage: https://cran.r-project.org/package=pbbd
Description: CRAN Package 'pbbd' (Position Balanced and Nearly Position Balanced Block Designs)
 Generates a position balanced or nearly position balanced block design with
 given parameters.  This package can also convert a given proper and
 equireplicate block design into a position balanced or nearly position
 balanced block design.

Package: r-cran-pbcc
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgenoud, r-cran-ggplot2, r-cran-qcc, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-pbcc_0.0.7-1.ca2004.1_all.deb
Size: 63468
MD5sum: 796dfda1136d62f218f1d4f95ef31d5e
SHA1: 97374a5fbdfa056e2f8e689dda5c6d74bb77d659
SHA256: 4a3e56dbbc584a8b562abb786acc4cf9d9b52248dd0e9a3a1fac1d7c4e189bba
SHA512: 6874cf9dd382e544fe7921e7bae7a913239d6b8510f942f1899d3120548a39f411dea51ef4725bc2731f6f4926cb1670f0e671f16809b08cad6f576f98ebbd12
Homepage: https://cran.r-project.org/package=pbcc
Description: CRAN Package 'pbcc' (Percentile-Based Control Chart)
 Design and implementation of Percentile-based Shewhart Control Charts for
 continuous data. Faraz (2019) <doi:10.1002/qre.2384>.

Package: r-cran-pbd
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-ade4, r-cran-ape, r-cran-ddd, r-cran-phytools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pbd_1.4-1.ca2004.1_all.deb
Size: 159084
MD5sum: d1afabb8b7d9112da958d45c58dcbf69
SHA1: b9470ab0c38e816ead41ec341ab570f25fe647c0
SHA256: aec20fc21fae56826580340fa467ae9c6c6b5656f78a42195a44a88b4560f7b3
SHA512: dd4c1fdbf2fadb0a03515e26044819d4c8b72c4588478f453f1f871ae692510c43b493345530faed7d4d8682de54fc3eacd94f2893859dd8d7bd12a5cbd9998c
Homepage: https://cran.r-project.org/package=PBD
Description: CRAN Package 'PBD' (Protracted Birth-Death Model of Diversification)
 Conducts maximum likelihood analysis and simulation of the protracted
 birth-death model of diversification. See Etienne, R.S. & J. Rosindell 2012
 <doi:10.1093/sysbio/syr091>; Lambert, A., H. Morlon & R.S. Etienne 2014,
 <doi:10.1007/s00285-014-0767-x>; Etienne, R.S., H. Morlon & A. Lambert 2014,
 <doi:10.1111/evo.12433>.

Package: r-cran-pbibd
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pbibd_1.4-1.ca2004.1_all.deb
Size: 73660
MD5sum: 541725d13b67c30ef51b49bc67a9d20a
SHA1: a91fb966dfd9f593c146acb6eef15519e62836bf
SHA256: e83a6cfd577486984717099c46ca575dcdafd9fd62be57a06fa113a3ccfdd319
SHA512: bd84a2d8c3c826a68d16f3a4b820fbd9a9b2562371f3472a0a73120e3d700ccb2159ea89cc0803d35ef6010672c2fb3f4c461b1c71c85007b98555ce8726eda7
Homepage: https://cran.r-project.org/package=PBIBD
Description: CRAN Package 'PBIBD' (Partially Balanced Incomplete Block Designs)
 The PBIB designs are important type of incomplete block designs having wide
 area of their applications for example in agricultural experiments, in plant
 breeding, in sample surveys etc. This package constructs various series of
 PBIB designs and assists in checking all the necessary conditions of PBIB
 designs and the association scheme on which these designs are based on. It
 also assists in calculating the efficiencies of PBIB designs with any number
 of associate classes. The package also constructs Youden-m square designs
 which are Row-Column designs for the two-way elimination of heterogeneity.
 The incomplete columns of these Youden-m square designs constitute PBIB
 designs. With the present functionality, the package will be of immense
 importance for the researchers as it will help them to construct PBIB
 designs, to check if their PBIB designs and association scheme satisfy
 various necessary conditions for the existence, to calculate the
 efficiencies of PBIB designs based on any association scheme and to
 construct Youden-m square designs for the two-way elimination of
 heterogeneity. R. C. Bose and K. R. Nair (1939)
 <http://www.jstor.org/stable/40383923>.

Package: r-cran-pbimisc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1795
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-matrix
Suggests: r-cran-ggplot2, r-cran-ca, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-pbimisc_1.0-1.ca2004.1_all.deb
Size: 1780396
MD5sum: 094b9dd3f4138e3ca5831ae706d2abb4
SHA1: e660c712f7ae561a746fb10e9c21aa6142243856
SHA256: 038f282219ea2b7d33562572e2b5cf6ae968161c582eee2af4a5d8bf096db7fd
SHA512: ad52c999add1c8612a318fb38f15184cc0b999aecd9a62c040a95693096c8e72b0f195d55b453ffd16dd98ececed8d2f8a240227b9db7dab4bb40465ca89d481
Homepage: https://cran.r-project.org/package=PBImisc
Description: CRAN Package 'PBImisc' (A Set of Datasets Used in My Classes or in the Book 'ModeleLiniowe i Mieszane w R, Wraz z Przykladami w Analizie Danych')
 A set of datasets and functions used in the book 'Modele liniowe i mieszane
 w R, wraz z przykladami w analizie danych'.  Datasets either come from real
 studies or are created to be as similar as possible to real studies.

Package: r-cran-pbir
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-cmprsk
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pbir_0.1-0-1.ca2004.1_all.deb
Size: 310388
MD5sum: c333c3e8f4c1d0aa08549101bd487e9f
SHA1: 6d57f99cd9ef96809caf3c65d92993b335b4b96e
SHA256: 4c613d5bc28d82ba96337e0b4364e570352e23325230f12a0d6726c07313b53b
SHA512: 7d82236168326de28b7cd26e54738439ed051d811abc1c6c35f8fef1552283baf651d54572868d9516639fb52773699d6297e641932709ca3821e8b827b89881
Homepage: https://cran.r-project.org/package=PBIR
Description: CRAN Package 'PBIR' (Estimating the Probability of Being in Response and RelatedOutcomes)
 Make statistical inference on the probability of being in response, the
 duration of response, and the cumulative response rate up to a given time
 point.  The method can be applied to analyze phase II randomized clinical
 trials with the endpoints being time to treatment response and time to
 progression or death.

Package: r-cran-pbixr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-formatr, r-cran-xml2, r-cran-jsonlite, r-cran-zip, r-cran-textclean, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rcurl, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-imager, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-pbixr_0.1.4-1.ca2004.1_all.deb
Size: 138088
MD5sum: 2a914da59ea377f67278f0ee110753b9
SHA1: 6ed111e36d8c36f1f3a7ee2111c70af3336a661d
SHA256: 5a9c2fac4ae098849653b6e72cedd06691aeb240ccb7529a3884c7ca9360cd38
SHA512: a8884247f1d3c86a018d7ebddbd318e94ed557919b395ff67344e8af5490bdd48cbd7235dafa7a25c1d1b448f9833f2f77f2bfce0d40405f1d2d1a0984bbbe14
Homepage: https://cran.r-project.org/package=pbixr
Description: CRAN Package 'pbixr' (Access Data and Metadata from 'Microsoft' 'Power BI' Documents)
 Access data and metadata from 'Microsoft' 'Power BI' ('.pbix',
 <https://powerbi.microsoft.com>) documents with R. The 'pbixr' package
 enables one to extract 'Power Query M' formulas
 (<https://docs.microsoft.com/en-us/power-query/>) 'Data Analysis
 Expressions' queries ('DAX', <https://docs.microsoft.com/en-us/dax/>) and
 their properties, report layout and style, and data and data models.

Package: r-cran-pbkrtest
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-broom, r-cran-dplyr, r-cran-mass, r-cran-numderiv, r-cran-matrix, r-cran-doby
Suggests: r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pbkrtest_0.5.4-1.ca2004.1_all.deb
Size: 217408
MD5sum: f648af909792f2a8e622aa0437d29607
SHA1: 0914103f21c7b6a99052840b8ee43b255ab880f0
SHA256: 85e1b3788e545adaaee7437e2374b024a182518c1e7039929264136fee4b58f5
SHA512: 4fc402a014a1b0db63231eb0f2121a5f7e139e561e0c3254c16dc3ba06cf166abbdcd06f3bb8ac1e7dd3c039013ef4d1f284471c70b6bd221cf9f85cb689c313
Homepage: https://cran.r-project.org/package=pbkrtest
Description: CRAN Package 'pbkrtest' (Parametric Bootstrap, Kenward-Roger and Satterthwaite BasedMethods for Test in Mixed Models)
 Computes p-values based on (a) Satterthwaite or Kenward-Rogers degree of
 freedom methods and (b) parametric bootstrap for mixed effects models as
 implemented in the 'lme4' package. Implements parametric bootstrap test for
 generalized linear mixed models as implemented in 'lme4' and generalized
 linear models. The package is documented in the paper by Halekoh and
 Højsgaard, (2012, <doi:10.18637/jss.v059.i09>).  Please see
 'citation("pbkrtest")' for citation details.

Package: r-cran-pblm
Architecture: all
Version: 0.1-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-lattice, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pblm_0.1-12-1.ca2004.1_all.deb
Size: 341744
MD5sum: 36338cf19989014c7eb15e35730d0d0e
SHA1: 400bd8853107ebe89a4679be17c7b0d7eaf2acdd
SHA256: 1dce2663c88f31cf9a8df0a4340f627231f5dffef38023ef80b305ccd8d20c4f
SHA512: 3170fc68f0bc3ebd54588a2b8b3e2b2d8e1cfb4dca1a2e338f625130a5344bb19a9376339dae0da9e2bf5683a6cb699d98b6fb8b6e089e951dc9c5509e1f7cc8
Homepage: https://cran.r-project.org/package=pblm
Description: CRAN Package 'pblm' (Bivariate Additive Marginal Regression for Categorical Responses)
 Bivariate additive categorical regression via penalized maximum likelihood.
 Under a multinomial framework, the method fits bivariate models where both
 responses are nominal, ordinal, or a mix of the two. Partial proportional
 odds models are supported, with flexible (non-)uniform association
 structures.  Various logit types and parametrizations can be specified for
 both marginals and the association, including Dale’s model. The association
 structure can be regularized using polynomial-type penalty terms. Additive
 effects are modeled using P-splines. Standard methods such as summary(),
 residuals(), and predict() are available.

Package: r-cran-pbm
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-pbm_1.2.1-1.ca2004.1_all.deb
Size: 146524
MD5sum: 1f3014a7eab9a6ad5ed066c7a54ed87d
SHA1: 506258d09afdccdc737c0d23eced1a500e89e7d3
SHA256: db293454a48dff8b71d32a61309ef8c950d5abca82cfc0390b1afafdc3949cc2
SHA512: 647c3cd4fd6441c9c31f258b6b50ff1314402bb006a21aab3e98bbff96051bc4dc06a79412a15da5d2863609ba6267b37eb46076de6eceb19151d19688b8b560
Homepage: https://cran.r-project.org/package=pbm
Description: CRAN Package 'pbm' (Protein Binding Models)
 Binding models which are useful when analysing protein-ligand interactions
 by techniques such as Biolayer Interferometry (BLI) or Surface Plasmon
 Resonance (SPR). Naman B. Shah, Thomas M. Duncan (2014) <doi:10.3791/51383>.
 Hoang H. Nguyen et al. (2015) <doi:10.3390/s150510481>. After initial
 binding parameters are known, binding curves can be simulated and parameters
 can be varied. The models within this package may also be used to fit a
 curve to measured binding data using non-linear regression.

Package: r-cran-pbnpa
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metarnaseq
Filename: pool/dists/focal/main/r-cran-pbnpa_0.0.3-1.ca2004.1_all.deb
Size: 56904
MD5sum: 3540af2acc42ceaf1da2c697d57b4e38
SHA1: b45013aa7aadcd3017c5e8c4d9f6a5c5436e2e02
SHA256: 3566616cf11e36cae0f5b6a9f9ba988348264b483bcfbc23a43d3aae85c1bb89
SHA512: fa69f560fbeb5bedea7df7cbbb68d8f501a71a492a83db4714a9e0d92d19759966cf4ce8bfdd4850ab17cf49bb3827ed6e47e2b85ef4bc86344163f7e8d69d1f
Homepage: https://cran.r-project.org/package=PBNPA
Description: CRAN Package 'PBNPA' (Permutation Based Non-Parametric Analysis of CRISPR Screen Data)
 Permutation based non-parametric analysis of CRISPR screen data. Details
 about this algorithm are published in the following paper published on BMC
 genomics, Jia et al. (2017) <doi:10.1186/s12864-017-3938-5>: A
 permutation-based non-parametric analysis of CRISPR screen data. Please cite
 this paper if you use this algorithm for your paper.

Package: r-cran-pbo
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1360
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-foreach
Suggests: r-cran-performanceanalytics, r-cran-testthat, r-cran-doparallel, r-cran-knitr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pbo_1.3.5-1.ca2004.1_all.deb
Size: 1077580
MD5sum: 83debfe49aefdbcd15b484ecd7d2919b
SHA1: b9385fbcf1ccc34825b4f3678b0cf91cc480718c
SHA256: 7ae27a9467104386cab0f290ebc5bdf3b75efd6a87dd8d16f7b6b055d5565b2e
SHA512: 9ddddb9d9bcb141172850fec36bcaf09de68f2117daff3f2c0c56a2e30726bb3d459da5325afb8786c4058fb95b1e7ad68c9e196a0f568640d084a773bf2d5cf
Homepage: https://cran.r-project.org/package=pbo
Description: CRAN Package 'pbo' (Probability of Backtest Overfitting)
 Following the method of Bailey et al., computes for a collection of
 candidate models the probability of backtest overfitting, the performance
 degradation and probability of loss, and the stochastic dominance.

Package: r-cran-pbox
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gamlss.dist, r-cran-copula, r-cran-data.table, r-cran-gamlss, r-cran-purrr, r-cran-stringr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pbox_0.1.8-1.ca2004.1_all.deb
Size: 407228
MD5sum: cb61f9293b96d78a8066a0634a90869f
SHA1: f8ef24778889d4e49de142cd652bc263f0bf811e
SHA256: 84aec10b55c4b8369d3c1a9decd6a24f040abc666be8a80b92b2a02c1e15abca
SHA512: 50e1e6631e8abe30854c9862b5edcae78b786cd51e984ac5edb34e1116c1ffe540f5cc4afb180c0e9e9634315fc3e5ddd566eb541893b89d6935f38e54069452
Homepage: https://cran.r-project.org/package=pbox
Description: CRAN Package 'pbox' (Exploring Multivariate Spaces with Probability Boxes)
 Advanced statistical library offering a method to encapsulate and query the
 probability space of a dataset effortlessly using Probability Boxes
 (p-boxes). Its distinctive feature lies in the ease with which users can
 navigate and analyze marginal, joint, and conditional probabilities while
 taking into account the underlying correlation structure inherent in the
 data using copula theory and models. A comprehensive explanation is
 available in the paper "pbox: Exploring Multivariate Spaces with Probability
 Boxes" to be published in the Journal of Statistical Software.

Package: r-cran-pbr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1386
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pbr_0.0.2-1.ca2004.1_all.deb
Size: 872984
MD5sum: dd8fa1eb4f16c7b3809ed9894d58ed03
SHA1: 9a1ba17cce3b409fe2b97562e4a5548619d77f8b
SHA256: fa402947fb77b3de3cb4671ae71eba2c3fea2aaa745b7018e568d14e0c23d542
SHA512: 5bad98f51d91c1c1b700c50c0339d50b9d4c8cec382388aae4f4c790f06308507c452aa39da05a4dbabcb97a869017cc7da049d641f8bfef8fcd41ba1a630f90
Homepage: https://cran.r-project.org/package=pbr
Description: CRAN Package 'pbr' (Find a Cold One Near You)
 In short, this package is a locator for cool, refreshing beverages.  It will
 find and return the nearest location where you can get a cold one.

Package: r-cran-pbrackets
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pbrackets_1.0.1-1.ca2004.1_all.deb
Size: 74756
MD5sum: 0cf52eb611abefab2227f6c0489ea812
SHA1: 76c35659ce2aa7e07f7cbc9276ba6927e44fb753
SHA256: f371141fa492fc0d0336e871b2933c7db8cb5f386598d272aad47b4dc2ab40a5
SHA512: d904b556f71e3ba96d65496e3de94ded95b777a4107ad00640039906271fe0e561bacc499585bb5a7d9f5d647b768ba8412af1e179aa633fa3cd5db6d663e0c2
Homepage: https://cran.r-project.org/package=pBrackets
Description: CRAN Package 'pBrackets' (Plot Brackets)
 Adds different kinds of brackets to a plot, including braces, chevrons,
 parentheses or square brackets.

Package: r-cran-pbs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pbs_1.1-1.ca2004.1_all.deb
Size: 19464
MD5sum: 9deef4db6f5784e27eb77b1481077213
SHA1: 261b2a81dbde7b191c9a7e2f6d4cffe13a0a6540
SHA256: 0ce9ac98a30865f6f372baac2a246b46bc50cf1c06c3f6d770ed99bb33c90c54
SHA512: 9e0946653f8cecb2815da3ef131f4e877069fc066713ce18757735d572da344634ba8b0bcbafd44c051c84fd2b5bad5f325295229fb18d035961fb7ebf50c1dc
Homepage: https://cran.r-project.org/package=pbs
Description: CRAN Package 'pbs' (Periodic B Splines)
 Periodic B Splines Basis

Package: r-cran-pbsadmb
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3086
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pbsmodelling
Filename: pool/dists/focal/main/r-cran-pbsadmb_1.1.6-1.ca2004.1_all.deb
Size: 2847848
MD5sum: 85a44278383d13e0e4b1e00f714ce1a4
SHA1: 3eb2403f6b236e61394ba62cf7ff64a1ac05e875
SHA256: ad82f2903711276ab82e4d9da093f1918f1b5c95af5b3751422f3bde466e967c
SHA512: dd8332a0c025b0926ce22002e22c9139ed2a511e0f5d84a8224ff2fdd634b8e545191c23b2bc84b6defc8212af5a415eb090538d6d984318511de4c617c2d9de
Homepage: https://cran.r-project.org/package=PBSadmb
Description: CRAN Package 'PBSadmb' (ADMB for R Using Scripts or GUI)
 A collection of software provides R support for 'ADMB' (Automatic
 Differentiation Model Builder) and a 'GUI' interface facilitates the
 conversion of 'ADMB' template code to 'C code' followed by compilation to a
 binary executable.  Stand-alone functions can also be run by users not
 interested in clicking a 'GUI'.

Package: r-cran-pbtdesigns
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pbtdesigns_1.0.0-1.ca2004.1_all.deb
Size: 26276
MD5sum: d0dbde54a4ab19f0534780e4ff389602
SHA1: 2587de6ecd9cc5a4351965228206180ba2700536
SHA256: d35602521ed9a317dbe1ce43cd9a6a1ca072e727ba640e5c97aa5598ba6808a3
SHA512: 57a85acd0ab9ef78caba3f47198a663cc7e28ae7ea24e21f62bd44d38877e886b2964c7ae0aeb7c507a1ba23f93bd5702726bd1a8ac4d56045d7a5bf47940bc4
Homepage: https://cran.r-project.org/package=PBtDesigns
Description: CRAN Package 'PBtDesigns' (Partially Balanced t-Designs (PBtDesigns))
 The t-designs represent a generalized class of balanced incomplete block
 designs in which the number of blocks in which any t-tuple of treatments (t
 >= 2) occur together is a constant. When the focus of an experiment lies in
 grading and selecting treatment subgroups, t-designs would be preferred over
 the conventional ones, as they have the additional advantage of t-tuple
 balance. t-designs can be advantageously used in identifying the best
 crop-livestock combination for a particular location in Integrated Farming
 Systems that will help in generating maximum profit. But as the number of
 components increases, the number of possible t-component combinations will
 also increase. Most often, combinations derived from specific components are
 only practically feasible, for example, in a specific locality, farmers may
 not be interested in keeping a pig or goat and hence combinations involving
 these may not be of any use in that locality. In such situations partially
 balanced t-designs with few selected combinations appearing in a constant
 number of blocks (while others not at all appearing) may be useful
 (Sayantani Karmakar, Cini Varghese, Seema Jaggi & Mohd Harun
 (2021)<doi:10.1080/03610918.2021.2008436>). Further, every location may not
 have the resources to form equally sized homogeneous blocks. Partially
 balanced t-designs with unequal block sizes (Damaraju Raghavarao & Bei Zhou
 (1998)<doi:10.1080/03610929808832657>. Sayantani Karmakar, Cini Varghese,
 Seema Jaggi & Mohd Harun (2022)." Partially Balanced t-designs with unequal
 block sizes") prove to be more suitable for such situations.This package
 generates three series of partially balanced t-designs namely Series 1,
 Series 2 and Series 3. Series 1 and Series 2 are designs having equal block
 sizes and with treatment structures 4(t + 1) and a prime number,
 respectively. Series 3 consists of designs with unequal block sizes and with
 treatment structure n(n-1)/2. This package is based on the function named
 PBtD() for generating partially balanced t-designs along with their
 parameters, information matrices, average variance factors and canonical
 efficiency factors.

Package: r-cran-pca3d
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-ellipse
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pca3d_0.10.2-1.ca2004.1_all.deb
Size: 243844
MD5sum: f601e81273b74b046c55ed13e629aaf0
SHA1: aa772f6073fbda20fd155f815143ac344300ef32
SHA256: fef1eb017a52b66e839f3533971bfed7a57045778124942a267c758e3f66f277
SHA512: f997428b8303255646a308f11d08719f462c4a9ace8ffb7c8f89b8268dbd03317b17b7b6c0ab263567612403217d88b2415524372afcb45acc3052ee76f94eda
Homepage: https://cran.r-project.org/package=pca3d
Description: CRAN Package 'pca3d' (Three Dimensional PCA Plots)
 Functions simplifying presentation of PCA models in a 3D interactive
 representation using 'rgl'.

Package: r-cran-pcabootplot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-factominer, r-cran-rcolorbrewer
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pcabootplot_0.2.0-1.ca2004.1_all.deb
Size: 34104
MD5sum: 8e992d3a2e3a60b5f578c77b0d54843a
SHA1: b82740d07609c1c479c3b0ba4d9cadf21875a447
SHA256: 12ea599249b9780175f904cf1c3420fbb22a94bb1c2990a63c4a8176bf180434
SHA512: 22142c8d98a8e0ef5904101c0a0fa0642153033c97763342d1ff213e63bd1d535a009087b966d0a571ff5ebdeb42ef142e9b48a44f22f138681c61702b6edd2b
Homepage: https://cran.r-project.org/package=pcaBootPlot
Description: CRAN Package 'pcaBootPlot' (Create 2D Principal Component Plots with Bootstrapping)
 Draws a 2D principal component plot using the first 2 principal components
 from the original and bootstrapped data to give some sense of variability.

Package: r-cran-pcadsc
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-pander, r-cran-ggplot2, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-pcadsc_0.8.0-1.ca2004.1_all.deb
Size: 59116
MD5sum: 09bcb908159827645c16dbc73e18a16e
SHA1: 8143dc26cef929fccba2f7856f55fc5555660982
SHA256: 01285b22d0cec84182be7056e2cc1725fb18c7890b1db1e8ed970d1b9bc5a66e
SHA512: 1329254d39423b7740eb4c69e77066b0b75fbbe4f3ef7db281b6880ca6b641cf828557a0cb87ed4cc4a94ba2bed3c0c5afffa9e00bde8e088d02d588a5aa07e3
Homepage: https://cran.r-project.org/package=PCADSC
Description: CRAN Package 'PCADSC' (Tools for Principal Component Analysis-Based Data StructureComparisons)
 A suite of non-parametric, visual tools for assessing differences in data
 structures for two datasets that contain different observations of the same
 variables. These tools are all based on Principal Component Analysis (PCA)
 and thus effectively address differences in the structures of the covariance
 matrices of the two datasets. The PCASDC tools consist of easy-to-use,
 intuitive plots that each focus on different aspects of the PCA
 decompositions. The cumulative eigenvalue (CE) plot describes differences in
 the variance components (eigenvalues) of the deconstructed covariance
 matrices. The angle plot presents the information loss when moving from the
 PCA decomposition of one dataset to the PCA decomposition of the other. The
 chroma plot describes the loading patterns of the two datasets, thereby
 presenting the relative weighting and importance of the variables from the
 original dataset.

Package: r-cran-pcal
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pcal_1.0.0-1.ca2004.1_all.deb
Size: 62952
MD5sum: b52e0ae6a7316cd91c4c75b3dc128469
SHA1: 909e01448f8d5da99a616c5d5c5ee0afb9cbea6b
SHA256: 89d179e14f27c6ea0e812923a708438577f2d177847a050c4053c03dce0911d7
SHA512: a6b0ed7642d7eeca582a609602ae98567ba4761939dea9c7384619876185906131c5b72fda9dd7ed35baefe715399f9f4d176ab47e31fe77c3d4ecf3e648c78d
Homepage: https://cran.r-project.org/package=pcal
Description: CRAN Package 'pcal' (Calibration of P-Values for Point Null Hypothesis Testing)
 Calibrate p-values under a robust perspective using the methods developed by
 Sellke, Bayarri, and Berger (2001) <doi:10.1198/000313001300339950> and
 obtain measures of the evidence provided by the data in favor of point null
 hypotheses which are safer and more straightforward to interpret.

Package: r-cran-pcalibrate
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-exact2x2, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-pcalibrate_0.2-1-1.ca2004.1_all.deb
Size: 89920
MD5sum: 16a9a48723c23a1c61c3453b1b6b75c2
SHA1: 18ec1239e325fd877f2ee534a8a5525bcfda0be3
SHA256: 6d764de8f9321c12dd2b06a46451a2183f0edb85963f643db6e8beb6997e0c15
SHA512: 29ff7add0af2a77cc6dff5e1db737f09bb45e59f468980e551c2c715c5725b5a2621fc4bbcb402d83b531a1a41fbe77dae293ac640536b817bd4c247c8b9a1f2
Homepage: https://cran.r-project.org/package=pCalibrate
Description: CRAN Package 'pCalibrate' (Bayesian Calibrations of p-Values)
 Implements transformations of p-values to the smallest possible Bayes factor
 within the specified class of alternative hypotheses, as described in Held &
 Ott (2018, <doi:10.1146/annurev-statistics-031017-100307>). Covers several
 common testing scenarios such as z-tests, t-tests, likelihood ratio tests
 and the F-test.

Package: r-cran-pcalls
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcalls_1.0-1.ca2004.1_all.deb
Size: 25104
MD5sum: 1b70e43c20efcf7c017bfddbf45cce6e
SHA1: 820afef10bc7957d0ba30bb3e4367cbe0bd5d57c
SHA256: d76baca46a1792be4d5ae58acfb4d17f6877c19bf01e89a9a794b04e9f9f7f6e
SHA512: 53dbb2f5c6f25054d4df46b7a06850a7d12b3ef615d5af26b1eb905977a93c54686f47911ea6c4fdb569d0a716ba1b4921f33a1b1181cbd361f6aa6acdada302
Homepage: https://cran.r-project.org/package=pcalls
Description: CRAN Package 'pcalls' (Pricing of Different Types of Call)
 Compute the price of different types of call using different methods. The
 types available are Vanilla European Calls, Vanilla American Calls and
 American Digital Calls. Available methods are Montecarlo Simulation,
 Montecarlo Simulation with Antithetic Variates, Black-Scholes and the Binary
 Tree.

Package: r-cran-pcamatchr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 553
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-optmatch, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pcamatchr_0.3.3-1.ca2004.1_all.deb
Size: 487760
MD5sum: 9c905888de8af208765feb3001181442
SHA1: ab1be23fc6206ae4fb15d9e4f7328b8c84f55a1b
SHA256: 3252e21eda66ff0a252878ec0a72c012931645b5385348fb8469cf28377e59cb
SHA512: cedb8ce892b9c6f6401b48ea84e8c5b95e20488a66125d95a3dbee1758ea84c1b8ed7495fac4558fd1df4333e0dbfa0dc6cb79d6362b2e2bd95e45b71f107b4a
Homepage: https://cran.r-project.org/package=PCAmatchR
Description: CRAN Package 'PCAmatchR' (Match Cases to Controls Based on Genotype Principal Components)
 Matches cases to controls based on genotype principal components (PC).  In
 order to produce better results, matches are based on the weighted distance
 of PCs where the weights are equal to the % variance explained by that PC. A
 weighted Mahalanobis distance metric (Kidd et al. (1987)
 <DOI:10.1016/0031-3203(87)90066-5>) is used to determine matches.

Package: r-cran-pcamixdata
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2583
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pcamixdata_3.1-1.ca2004.1_all.deb
Size: 1816848
MD5sum: 775d322334b19bc99b1ab4169e9953b7
SHA1: dbcd52b0b63589cd62762c4390603469979bc17a
SHA256: 55f0496e8a8a0220cfb8a81fc464a1360c8dd48f456c113f4ff5d7aac89e469b
SHA512: 261f9c12fc4009eea349ce4aa975943e12d1561d34df06ce05db0d4697cad61432353885668a3e943e87dad6ebfb858073bac4b41863d638cc690db4f085f07d
Homepage: https://cran.r-project.org/package=PCAmixdata
Description: CRAN Package 'PCAmixdata' (Multivariate Analysis of Mixed Data)
 Implements principal component analysis, orthogonal rotation and multiple
 factor analysis for a mixture of quantitative and qualitative variables.

Package: r-cran-pcapam50
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2097
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biobase, r-cran-lattice, r-bioc-complexheatmap, r-bioc-impute
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pcapam50_1.0.3-1.ca2004.1_all.deb
Size: 868644
MD5sum: e1b4f87e3a8ccdf24158583b03035fca
SHA1: b35ad1a2e89963d58c12a90d182a9fd6567ab583
SHA256: 2309e1462e472a0d9199734c17cf8674d9365e78ea8d72ea44afcfb3a29a4ddb
SHA512: 75a6b684c584114a1499df09563a6332a40b91972df6c3bfe29c562fc277650f9db7ca804b7ac29e8ce63562babcc44b6aef719b6467c0b273339ebf7a06589f
Homepage: https://cran.r-project.org/package=PCAPAM50
Description: CRAN Package 'PCAPAM50' (Enhanced 'PAM50' Subtyping of Breast Cancer)
 Accurate classification of breast cancer tumors based on gene expression
 data is not a trivial task, and it lacks standard practices.The 'PAM50'
 classifier, which uses 50 gene centroid correlation distances to classify
 tumors, faces challenges with balancing estrogen receptor (ER) status and
 gene centering. The 'PCAPAM50' package leverages principal component
 analysis and iterative 'PAM50' calls to create a gene expression-based
 ER-balanced subset for gene centering, avoiding the use of protein
 expression-based ER data resulting into an enhanced Breast Cancer subtyping.

Package: r-cran-pcatsapiclientr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcatsapiclientr_1.3.0-1.ca2004.1_all.deb
Size: 53264
MD5sum: f38717114ccc717868734b41f8693be6
SHA1: 63b6d4d3439d6ab9bd369d670b211ff621991da0
SHA256: ec8ab6629d0e57fbea097400da77912dcf34cbe20dfa0c6d4c4e59d344ba191c
SHA512: 62151c6e121b27d1c72d970db66d35e0082a59423e664b526eb52770999e0dd2996806206bdcd9b9c0a878143ac8b710de4839535b93dffabcd49bb8e2b8391d
Homepage: https://cran.r-project.org/package=pcatsAPIclientR
Description: CRAN Package 'pcatsAPIclientR' ('PCATS' API Client)
 Provides an R interface to the 'PCATS' API
 <https://pcats.research.cchmc.org/api/__docs__/>, allowing R users to submit
 tasks and retrieve results.

Package: r-cran-pcbs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1614
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-tibble, r-cran-ggrepel, r-cran-dplyr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pcbs_0.1.1-1.ca2004.1_all.deb
Size: 1602520
MD5sum: 661e46c16158a59b4ca3e355f6a071fd
SHA1: bd3d687320b9b1405f1348ef2ba9c18aceb9bd16
SHA256: 3fc49ebbd6a5e23bfbbf689fd01de7409e87f3ce305b24263718db7a666ec3e9
SHA512: b93c50f8476d67d2a82ae837f06f634b8e6d89e233922b45ef745b4e32dcb4674f109b5a7ebea65d212d93e9ae8fa95e1c7fcbf2239fa14ec677893c0dd7dfe3
Homepage: https://cran.r-project.org/package=PCBS
Description: CRAN Package 'PCBS' (Principal Component BiSulfite)
 A system for fast, accurate, and flexible whole genome bisulfite sequencing
 (WGBS) data analysis of two-condition comparisons. Principal Component
 BiSulfite, 'PCBS', assigns methylated loci eigenvector values from the
 treatment-delineating principal component in lieu of running millions of
 pairwise statistical tests, which dramatically increases analysis
 flexibility and reduces computational requirements. Methods:
 <https://katlande.github.io/PCBS/articles/Differential_Methylation.html>.

Package: r-cran-pcdimension
Architecture: all
Version: 1.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classdiscovery, r-cran-oompabase, r-cran-kernlab, r-cran-changepoint, r-cran-cpm
Suggests: r-cran-mass, r-cran-nfactors
Filename: pool/dists/focal/main/r-cran-pcdimension_1.1.14-1.ca2004.1_all.deb
Size: 278864
MD5sum: 2ab4a9523dacfc2676d34c9180d34007
SHA1: 79d67aaeddd614594a89a095782db4b2740d21ac
SHA256: 00f4e2418eb44b753b25ae535b7069ab2cb17a227a7d729ada014f5102bc9f31
SHA512: 17abbf82dae1033ec0e1e302d0889e1fd0624a443c60c5f5b2092f7fc3c3075b2307787098bf47f892342f56b355f968b1e59b76e94e330e1d9692ec6bede226
Homepage: https://cran.r-project.org/package=PCDimension
Description: CRAN Package 'PCDimension' (Finding the Number of Significant Principal Components)
 Implements methods to automate the Auer-Gervini graphical Bayesian approach
 for determining the number of significant principal components. Automation
 uses clustering, change points, or simple statistical models to distinguish
 "long" from "short" steps in a graph showing the posterior number of
 components as a function of a prior parameter. See <doi:10.1101/237883>.

Package: r-cran-pcdpca
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-freqdom, r-cran-fda
Filename: pool/dists/focal/main/r-cran-pcdpca_0.4-1.ca2004.1_all.deb
Size: 20572
MD5sum: 1527fddd51579ed6f26885bdb55bc5ee
SHA1: 0432d8224aa3be10dd464944d9121cf58c08b9bf
SHA256: 9e0e82824a2059ea4a92e73dc6e36ba32ce9b3cd68bb873494fbb7a5de1162b0
SHA512: 13f318e3bf2b03d103c7f51b3113a95505143faaf5afeb14d7abf1f091532b73071cb5cc35cd9269b14389dcb1433fee072198f1dc27f109994ad47e378e8b40
Homepage: https://cran.r-project.org/package=pcdpca
Description: CRAN Package 'pcdpca' (Dynamic Principal Components for Periodically CorrelatedFunctional Time Series)
 Method extends multivariate and functional dynamic principal components to
 periodically correlated multivariate time series. This package allows you to
 compute true dynamic principal components in the presence of periodicity.
 We follow implementation guidelines as described in Kidzinski, Kokoszka and
 Jouzdani (2017), in Principal component analysis of periodically correlated
 functional time series <arXiv:1612.00040>.

Package: r-cran-pcds.ugraph
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pcds, r-cran-interp, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-scatterplot3d, r-cran-rmarkdown, r-cran-bookdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pcds.ugraph_0.1.1-1.ca2004.1_all.deb
Size: 512256
MD5sum: 297542226a9ee2665d25d8f3ef976877
SHA1: 36fcd18306a96472cdebf4847f3ed31747557f99
SHA256: 00d67885e55cc3f5a6d552258b68fbc8ae7dad98dde4dbb10d35c7bc51d27e41
SHA512: 69910e599bb7dc1adae21a115c29e61590e7bac7bc1164658ef568231cb9a313d70359d742876b50c8a4d135d9d106299ad863ba2e2d8848fcf33b702f0a1f8f
Homepage: https://cran.r-project.org/package=pcds.ugraph
Description: CRAN Package 'pcds.ugraph' (Underlying Graphs of Proximity Catch Digraphs and TheirApplications)
 Contains the functions for construction and visualization of underlying and
 reflexivity graphs of the three families of the proximity catch digraphs
 (PCDs), see (Ceyhan (2005) ISBN:978-3-639-19063-2), and for computing the
 edge density of these PCD-based graphs which are then used for testing the
 patterns of segregation and association against complete spatial randomness
 (CSR)) or uniformity in one and two dimensional cases.  The PCD families
 considered are Arc-Slice PCDs, Proportional-Edge (PE) PCDs (Ceyhan et al.
 (2006) <doi:10.1016/j.csda.2005.03.002>) and Central Similarity PCDs (Ceyhan
 et al. (2007) <doi:10.1002/cjs.5550350106>).  See also (Ceyhan (2016)
 <doi:10.1016/j.stamet.2016.07.003>) for edge density of the underlying and
 reflexivity graphs of PE-PCDs.  The package also has tools for visualization
 of PCD-based graphs for one, two, and three dimensional data.

Package: r-cran-pcds
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4406
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-combinat, r-cran-interp, r-cran-gmoip, r-cran-plot3d, r-cran-plotrix, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-scatterplot3d, r-cran-spatstat.random, r-cran-rmarkdown, r-cran-bookdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pcds_0.1.8-1.ca2004.1_all.deb
Size: 2917676
MD5sum: 0affb4369cd6d7d7bd553c26564f7c3e
SHA1: 740218cda6daf39f82b02f6f80a5ad58534c733a
SHA256: 297955645538c74f386f5fdf63b4996bffd191e73283cb023c3638e6de16cb3d
SHA512: 4ef0bef87a2b183fdb019f458dd4660a806d0e1a96ccbf0e89b7b25a8b0a08bf5065e87b7f6d59097cbb3f659f8e6b94766688b2ced549612b9a375206c85f3a
Homepage: https://cran.r-project.org/package=pcds
Description: CRAN Package 'pcds' (Proximity Catch Digraphs and Their Applications)
 Contains the functions for construction and visualization of various
 families of the proximity catch digraphs (PCDs), see (Ceyhan (2005)
 ISBN:978-3-639-19063-2), for computing the graph invariants for testing the
 patterns of segregation and association against complete spatial randomness
 (CSR) or uniformity in one, two and three dimensional cases.  The package
 also has tools for generating points from these spatial patterns.  The graph
 invariants used in testing spatial point data are the domination number
 (Ceyhan (2011) <doi:10.1080/03610921003597211>) and arc density (Ceyhan et
 al. (2006) <doi:10.1016/j.csda.2005.03.002>; Ceyhan et al. (2007)
 <doi:10.1002/cjs.5550350106>). The PCD families considered are Arc-Slice
 PCDs, Proportional-Edge PCDs, and Central Similarity PCDs.

Package: r-cran-pcensmix
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcensmix_1.2-1-1.ca2004.1_all.deb
Size: 87212
MD5sum: 94e4abd1e6d9f91a97c3cacc62d1118d
SHA1: cae646961b782d6bc5f65e7b4d818319348f86b0
SHA256: 1a42d93d48a13bbb462272059dfea198aeb215332acf5d00d71b765bfb2de903
SHA512: 3a4f9179f13364380149151cd9589a023de5a4abd9c94e5dc3f87f8e1171babf23eb6554bba008c5aa9228c1e3ccc776ebd1895a3ad4a2455b7d4813c618b88f
Homepage: https://cran.r-project.org/package=pcensmix
Description: CRAN Package 'pcensmix' (Model Fitting to Progressively Censored Mixture Data)
 Functions for generating progressively Type-II censored data in a mixture
 structure and fitting models using a constrained EM algorithm. It can also
 create a progressive Type-II censored version of a given real dataset to be
 considered for model fitting.

Package: r-cran-pcev
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmtstat, r-cran-corpcor
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pcev_2.2.2-1.ca2004.1_all.deb
Size: 639264
MD5sum: c64b4c925a83f51e305cc97f24a2d623
SHA1: 7538a58c4204d3516a70d8a19b9c3e841516bf60
SHA256: af2bc68fb8eb5bb1fd43664b184d959f5eb108f133039121b8a7332b31cfadd5
SHA512: 327dc55213830288bd62b285cafadc9443aa2f8e852363fc357ddf78a3f4f13d4429556d762977dc75d228d284b40a39dbaedd7fdefbd32c62dfa8ac4ad88675
Homepage: https://cran.r-project.org/package=pcev
Description: CRAN Package 'pcev' (Principal Component of Explained Variance)
 Principal component of explained variance (PCEV) is a statistical tool for
 the analysis of a multivariate response vector. It is a dimension- reduction
 technique, similar to Principal component analysis (PCA), that seeks to
 maximize the proportion of variance (in the response vector) being explained
 by a set of covariates.

Package: r-cran-pcfam
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcfam_1.0-1.ca2004.1_all.deb
Size: 120592
MD5sum: e1b6191da75c3017f7a188d752079877
SHA1: c21847396a255b764b038e00c9b6f207b7ca9728
SHA256: 7600bb9c1a22296194b40021b5da4b7c8eb41c2e80a94eb10a10479f34646721
SHA512: 066fcc931149ebdabb94c682d5e119b43258d9ace3e495af55be3f9c152719516b0f3456003e749b0366c85a7bf73828883f7db645f889e76bc8cfd3dffb72a7
Homepage: https://cran.r-project.org/package=PCFAM
Description: CRAN Package 'PCFAM' (Computation of Ancestry Scores with Mixed Families and UnrelatedIndividuals)
 We provide several algorithms to compute the genotype ancestry scores (such
 as eigenvector projections) in the case where highly correlated individuals
 are involved.

Package: r-cran-pcg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcg_1.1-1.ca2004.1_all.deb
Size: 11376
MD5sum: 00f0ce90d36634f36e0d466b6c037086
SHA1: 512378007bff7c3b5dbc79df00bb094073f4ed99
SHA256: 7ff71be797a0b23fc4003b652f2f2d2208233fc5fc45441493f065d57520a5a0
SHA512: 7b0035bb7f41006fa4cab34baa083f48a29c9da48064fb6a27515bfee680d7113c28b6794cb56b5d66ac53769a680b897d5f99d3bb225d3a671c00b245d988a1
Homepage: https://cran.r-project.org/package=pcg
Description: CRAN Package 'pcg' (Preconditioned Conjugate Gradient Algorithm for solving Ax=b)
 The package solves linear system of equations Ax=b by using Preconditioned
 Conjugate Gradient Algorithm where A is real symmetric positive definite
 matrix. A suitable preconditioner matrix may be provided by user. This can
 also be used to minimize quadratic function (x'Ax)/2-bx for unknown x.

Package: r-cran-pcgen
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pcalg, r-bioc-graph, r-cran-matrix, r-cran-mass, r-cran-hmisc, r-cran-lme4, r-cran-sommer, r-cran-ggm
Filename: pool/dists/focal/main/r-cran-pcgen_0.2.0-1.ca2004.1_all.deb
Size: 143648
MD5sum: 84ec282875bd16f61a6b18d61018a3d5
SHA1: 16c4ce5d182ccd289ae73b5e376d06bfdbb35255
SHA256: 3ac8af792ebbfa6dc8a20680e5433e1f605d37fffda30e6bb5f943b579b3db47
SHA512: edc511892c589585e62231a0ca042760c773c888848c7197f825c4884cf0239a2b3d5335661b0069bab7afdc48263a69a28fd08faffab202d2f75ee409c26653
Homepage: https://cran.r-project.org/package=pcgen
Description: CRAN Package 'pcgen' (Reconstruction of Causal Networks for Data with Random GeneticEffects)
 Implements the pcgen algorithm, which is a modified version of the standard
 pc-algorithm, with specific conditional independence tests and modified
 orientation rules. pcgen extends the approach of Valente et al. (2010)
 <doi:10.1534/genetics.109.112979> with reconstruction of direct genetic
 effects.

Package: r-cran-pcgii
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5074
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-corpcor, r-cran-glmnet, r-cran-igraph, r-cran-matrix, r-cran-dplyr
Suggests: r-cran-mvtnorm, r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcgii_1.1.2-1.ca2004.1_all.deb
Size: 3554204
MD5sum: f85adecfc9419675fa68fcced0f8378b
SHA1: 99e2e2ec2a4bc58b87820208ad50dd6e7c741b4b
SHA256: d6cb722e1946a06e7c67e7ea200ca4df01b53f5fc0b2c69d4872913b3a1fad0d
SHA512: 5ebeb209aa90ac7c3a9d9fdf0b6dd84da119bc2ff8e2e950dfec9a5c8a3d02d1672f7c49d1930c20072cfda579824ee6cfd523cc67302539c98abc7ad3ea01fe
Homepage: https://cran.r-project.org/package=PCGII
Description: CRAN Package 'PCGII' (Partial Correlation Graph with Information Incorporation)
 Large-scale gene expression studies allow gene network construction to
 uncover associations among genes. This package is developed for estimating
 and testing partial correlation graphs with prior information incorporated.

Package: r-cran-pcgse
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmtstat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pcgse_0.5.0-1.ca2004.1_all.deb
Size: 42684
MD5sum: 0534693ee71f3c54a520d16586562dc3
SHA1: dc2cf28ad0599a6ccc19e7dd1438f555368a074a
SHA256: 4346fd89364023bb0667e386d2af1874608b4bae4efabbce1feac1742efdf377
SHA512: 98de3dc896889ba12d663e00b3a14f03130d983f11143e30702e699be04d8b930dd9a8d34102166c3c1a729b87cb9b04d40f6bbe90b10728d3418fe8b77358ea
Homepage: https://cran.r-project.org/package=PCGSE
Description: CRAN Package 'PCGSE' (Principal Component Gene Set Enrichment)
 Contains logic for computing the statistical association of variable groups,
 i.e., gene sets, with respect to the principal components of genomic data.

Package: r-cran-pch
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-pch_2.1-1.ca2004.1_all.deb
Size: 107980
MD5sum: 00fb1dcc4177246308b719471327c89e
SHA1: 7125c292d5dd964dd4e018df152197730d837038
SHA256: 5958ffc3686d29d47e528b0bc95772be7493e8376fb354294bba46b267be9212
SHA512: c19654a8d0e697f7b573b8aa15144bdfe8643dc43a54fb1b464f357027e388cf384ab63860b77190f24431557cf7926c639b306964ffc550bbe8b571190c41bc
Homepage: https://cran.r-project.org/package=pch
Description: CRAN Package 'pch' (Piecewise Constant Hazard Models for Censored and Truncated Data)
 Piecewise constant hazard models for survival data.  The package allows for
 right-censored, left-truncated, and interval-censored data.

Package: r-cran-pchc
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigstatsr, r-cran-bnlearn, r-cran-dcov, r-cran-foreach, r-cran-doparallel, r-cran-rfast, r-cran-rfast2, r-cran-robustbase
Suggests: r-cran-bigreadr, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-pchc_1.3-1.ca2004.1_all.deb
Size: 228840
MD5sum: 43978ae4664e1d34a1afce61856d03b2
SHA1: aa5b4e4d0dd8a488f8fe48b89b1e845a59a89d43
SHA256: 9da6498b2f618fd17a10ef97f968d3b1b9b199b1ca1dc0a3c047b3ae54aad585
SHA512: 00a365ee173e2b8f792a6cfe3decaa27e43ec0714c3de9c735b01f3b7b26f81dcab7895f44fa4fd3dda87017cddc9151ab700181de26914373832353707b965c
Homepage: https://cran.r-project.org/package=pchc
Description: CRAN Package 'pchc' (Bayesian Network Learning with the PCHC and Related Algorithms)
 Bayesian network learning using the PCHC, FEDHC, MMHC and variants of these
 algorithms. PCHC stands for PC Hill-Climbing, a new hybrid algorithm that
 uses PC to construct the skeleton of the BN and then applies the
 Hill-Climbing greedy search. More algorithms and variants have been added,
 such as MMHC, FEDHC, and the Tabu search variants, PCTABU, MMTABU and
 FEDTABU.  The relevant papers are: a) Tsagris M. (2021). "A new scalable
 Bayesian network learning algorithm with applications to economics".
 Computational Economics, 57(1): 341-367. <doi:10.1007/s10614-020-10065-7>.
 b) Tsagris M. (2022). "The FEDHC Bayesian Network Learning Algorithm".
 Mathematics 2022, 10(15): 2604. <doi:10.3390/math10152604>.

Package: r-cran-pci
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vek
Suggests: r-cran-tinytest, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-pci_1.0.1-1.ca2004.1_all.deb
Size: 42448
MD5sum: 885ac50cf1b58a2a9c01b85f05855beb
SHA1: c349c48b92a2948a2c4cccdd36e40a5b29cd6340
SHA256: 0992670acfd6ac985567b29e7283a38ff289b771051fd695fd6a72ae0a0a65a7
SHA512: cbc88bd86bc80ce26fcf7287968d48e7eeaccac1a5cba8f655dd727694816c71770999982ccdb6865ca211900fde20629caaba61a36e736d03b613d7a5649ddc
Homepage: https://cran.r-project.org/package=pci
Description: CRAN Package 'pci' (A Collection of Process Capability Index Functions)
 A collection of process capability index functions, such as C_p(), C_pk(),
 C_pm(), and others, along with metadata about each, like 'LaTeX' equations
 and 'R' expressions. Its primary purpose is to form a foundation for other
 quality control packages to build on top of, by providing basic resources
 and functions. The indices belong to the field of statistical quality
 control, and quantify the degree to which a manufacturing process is able to
 create items that adhere to a certain standard of quality. For details see
 Montgomery, D. C. (2019, ISBN:978-1-119-39930-8).

Package: r-cran-pcl
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcl_1.0-1.ca2004.1_all.deb
Size: 17344
MD5sum: ad3158494c6f23a2a3dce1e6add746b0
SHA1: c54e2c67deb53bb73b701c88498206b92044cd51
SHA256: 415c3d23963d84d2d770c2e27ad8db5eba7df6e3aebfe26e5e4c66af242e2f62
SHA512: 1a993f0eb48ecb372e66a396d8b49a1d486f5ed1de5088c7115b3de9c12d007eed0178ae6ad0a23bdd2d9d7bd1b1382fa1af69b3362828bc8ad31c1c07ddb2b0
Homepage: https://cran.r-project.org/package=PCL
Description: CRAN Package 'PCL' (Proximal Causal Learning)
 We fit causal models using proxies. We implement two stage proximal least
 squares estimator. E.J. Tchetgen Tchetgen, A. Ying, Y. Cui, X. Shi, and W.
 Miao. (2020). An Introduction to Proximal Causal Learning. arXiv e-prints,
 arXiv-2009 <arXiv:2009.10982>.

Package: r-cran-pclassoreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1017
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-grpreg
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pclassoreg_1.0.0-1.ca2004.1_all.deb
Size: 898640
MD5sum: 0d0434e041885c174566174ae4aa3bf9
SHA1: 80689b87428fc33975c0d498ff1cd85bff4b7d1e
SHA256: 620e0658848a3d45f068ce4d63090baff849cf968a7549d09b5cc08fe6dc87e6
SHA512: 138f8281b7791a549876fd7b02509d72a3183745c319d4aaca6e8c1c6054b9f53d33628e0005c361b7fc16969f0eff2732f18d77bcc717840b0808ffeb715f94
Homepage: https://cran.r-project.org/package=PCLassoReg
Description: CRAN Package 'PCLassoReg' (Group Regression Models for Risk Protein Complex Identification)
 Two protein complex-based group regression models (PCLasso and PCLasso2) for
 risk protein complex identification. PCLasso is a prognostic model that
 identifies risk protein complexes associated with survival. PCLasso2 is a
 classification model that identifies risk protein complexes associated with
 classes. For more information, see Wang and Liu (2021)
 <doi:10.1093/bib/bbab212>.

Package: r-cran-pcmabc
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-mvslouch, r-cran-phangorn, r-cran-yuima
Suggests: r-cran-geiger, r-cran-distory
Filename: pool/dists/focal/main/r-cran-pcmabc_1.1.3-1.ca2004.1_all.deb
Size: 150548
MD5sum: 6828cd67c24c3180e74ba8d6dd5ad5cc
SHA1: 054fa38bf3831b9f4edb932f3e333dc9e16ba8d7
SHA256: 4ed71aeff7499b60aa5eb0ad10342823dbe0011461797a8f71830df331ea81e0
SHA512: 09f2334c338c1bc780507ca3d621e6295efead3a622e238a070848ef9b8527edcc3f69fb2f035dc4a662c67ffe41b8b2c9c49f1c45c3eeb8a61be5521ee2a7f0
Homepage: https://cran.r-project.org/package=pcmabc
Description: CRAN Package 'pcmabc' (Approximate Bayesian Computations for Phylogenetic ComparativeMethods)
 Fits by ABC, the parameters of a stochastic process modelling the phylogeny
 and evolution of a suite of traits following the tree. The user may define
 an arbitrary Markov process for the trait and phylogeny. Importantly,
 trait-dependent speciation models are handled and fitted to data. See K.
 Bartoszek, P. Lio' (2019) <doi:10.5506/APhysPolBSupp.12.25>. The suggested
 geiger package can be obtained from CRAN's archive
 <https://cran.r-project.org/src/contrib/Archive/geiger/>, suggested to take
 latest version. Otherwise its required code is present in the pcmabc
 package. The suggested distory package can be obtained from CRAN's archive
 <https://cran.r-project.org/src/contrib/Archive/distory/>, suggested to take
 latest version.

Package: r-cran-pcmbase
Architecture: all
Version: 1.2.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2264
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-abind, r-cran-expm, r-cran-mvtnorm, r-cran-data.table, r-cran-ggplot2, r-cran-xtable
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-ggtree, r-cran-cowplot, r-cran-covr, r-cran-mvslouch, r-cran-biocmanager
Filename: pool/dists/focal/main/r-cran-pcmbase_1.2.14-1.ca2004.1_all.deb
Size: 1102428
MD5sum: 4f2d2d0874d9dc9150f506a6ba927801
SHA1: 9bf3d8f416174c7d6482e2e3b9de344350e5e88a
SHA256: 0040f7f36c723319de552fd2a79f3771107ac1c6c9d0f2064892addbb509db44
SHA512: 6d11290f8d4ce506da340f1d8450f9ef7abebf2b9bc7bceaaeb35518395d5ffd5d05a92ea0b5bcf152ea0190ef5ac5c57629d438f8eea7e18071156156d52179
Homepage: https://cran.r-project.org/package=PCMBase
Description: CRAN Package 'PCMBase' (Simulation and Likelihood Calculation of PhylogeneticComparative Models)
 Phylogenetic comparative methods represent models of continuous trait data
 associated with the tips of a phylogenetic tree. Examples of such models are
 Gaussian continuous time branching stochastic processes such as Brownian
 motion (BM) and Ornstein-Uhlenbeck (OU) processes, which regard the data at
 the tips of the tree as an observed (final) state of a Markov process
 starting from an initial state at the root and evolving along the branches
 of the tree. The PCMBase R package provides a general framework for
 manipulating such models.  This framework consists of an application
 programming interface for specifying data and model parameters, and
 efficient algorithms for simulating trait evolution under a model and
 calculating the likelihood of model parameters for an assumed model and
 trait data. The package implements a growing collection of models, which
 currently includes BM, OU, BM/OU with jumps, two-speed OU as well as mixed
 Gaussian models, in which different types of the above models can be
 associated with different branches of the tree. The PCMBase package is
 limited to trait-simulation and likelihood calculation of (mixed) Gaussian
 phylogenetic models. The PCMFit package provides functionality for inference
 of these models to tree and trait data. The package web-site
 <https://venelin.github.io/PCMBase/> provides access to the documentation
 and other resources.

Package: r-cran-pcnetmeta
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjags, r-cran-coda
Filename: pool/dists/focal/main/r-cran-pcnetmeta_2.8-1.ca2004.1_all.deb
Size: 245840
MD5sum: 7eef2227afbdefc13698cfc458ba386f
SHA1: 58cdfc299bd8d0f5da410b6938dec86b5d94f5c1
SHA256: 29357dd0e3dcd59e29474edaf710739a43ccd1b74d8799cc4af75098f1bf5ab9
SHA512: 8ef1f0f78ed0fc4e33a5dc2dd6b1ad42336732bd4e44c5a2affd11391da954fa02a5e2a640bd661ea5373f9ab2738ce696e8143d78d975092b90a4fb5897b6a7
Homepage: https://cran.r-project.org/package=pcnetmeta
Description: CRAN Package 'pcnetmeta' (Patient-Centered Network Meta-Analysis)
 Performs Bayesian arm-based network meta-analysis for datasets with binary,
 continuous, and count outcomes (Zhang et al., 2014
 <doi:10.1177/1740774513498322>; Lin et al., 2017
 <doi:10.18637/jss.v080.i05>).

Package: r-cran-pco
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pco_1.0.1-1.ca2004.1_all.deb
Size: 76520
MD5sum: cf71ce7c0e2676784fb7995b7fe36ab7
SHA1: fa73d34fa150afa788d02cd8dbf4aa0bb17433cc
SHA256: f6baaa282e59ceb5121f0e459814593d07132781aa476532692aab0221ba661d
SHA512: 1462244d9fcddd20906b45aeddf75d40c725a31dbb290b602413206a63976056ccc7f52e24711320177253e9af9e16ef670d8b690f5eb488b621ad0ee2cb2006
Homepage: https://cran.r-project.org/package=pco
Description: CRAN Package 'pco' (Panel Cointegration Tests)
 Computation of the Pedroni (1999) panel cointegration test statistics.
 Reported are the empirical and the standardized values.

Package: r-cran-pcode
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fda, r-cran-pracma, r-cran-mass, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-hmisc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcode_0.9.4-1.ca2004.1_all.deb
Size: 196684
MD5sum: 59305b1c5e032c25463bb4ba662548f8
SHA1: e799302a4c62fa48f493b5758ac90a4c19e58726
SHA256: f528b580706aea1e4a8d8073deaf9006225e08b41d5b031520d4a5d16e6994c9
SHA512: ef915a9b9c040e0cc40e23f28465b9597137148b055fcd9da8dd81fbc8dc7095f6517133ac73d1dc8de9f71bd43dc783557df8282c2bcfaedd2bcb831350cf47
Homepage: https://cran.r-project.org/package=pCODE
Description: CRAN Package 'pCODE' (Estimation of an Ordinary Differential Equation Model byParameter Cascade Method)
 An implementation of the parameter cascade method in Ramsay, J. O.,
 Hooker,G., Campbell, D., and Cao, J. (2007) for estimating ordinary
 differential equation models with missing or complete observations. It
 combines smoothing method and profile estimation to estimate any non-linear
 dynamic system. The package also offers variance estimates for parameters of
 interest based on either bootstrap or Delta method.

Package: r-cran-pcovr
Architecture: all
Version: 2.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gparotation, r-cran-threeway, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-pcovr_2.7.2-1.ca2004.1_all.deb
Size: 91756
MD5sum: bdf4bb3a188b16af3f974676c6dbc083
SHA1: 4bb3325e6e18fee41cbf8bba67b478e56519463a
SHA256: 53438775a0f67bfb574f1a3213d0589e945a4983e454d4abdba07d9c6b75df3a
SHA512: 6755bc95992a269705f8603af53c9b2b9ababb3ff5b27830524dc661378281a4a0c0cda0ff81497de0273e6b999a27b733b4db307eb97e520b6356bc88436698
Homepage: https://cran.r-project.org/package=PCovR
Description: CRAN Package 'PCovR' (Principal Covariates Regression)
 Analyzing regression data with many and/or highly collinear predictor
 variables, by simultaneously reducing the predictor variables to a limited
 number of components and regressing the criterion variables on these
 components (de Jong S. & Kiers H. A. L. (1992)
 <doi:10.1016/0169-7439(92)80100-I>). Several rotation and model selection
 options are provided.

Package: r-cran-pcpr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1599
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-foreach, r-cran-furrr, r-cran-future, r-cran-magrittr, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-ggally, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-metr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-pcpr_1.0.0-1.ca2004.1_all.deb
Size: 1091780
MD5sum: 9336318225fdbb93408619c6a3eaa370
SHA1: 2b7fb4b6178de41ddb5ae0b8722b2bb1fc9d70e2
SHA256: 2d3ca5e303aba5cd57ff73c7ede11cecf655fb4ddbe67be23d68eefcfd7c5c82
SHA512: 01b6bc759cdf4c1e80c8c035542d5a86b278b52569745a125398837117e2dd927a30b4fc65c5eb2ad0f6121ca778701bd75e95b26565c4eb731155f5993f5dbb
Homepage: https://cran.r-project.org/package=pcpr
Description: CRAN Package 'pcpr' (Principal Component Pursuit for Environmental Epidemiology)
 Implementation of the pattern recognition technique Principal Component
 Pursuit tailored to environmental health data, as described in Gibson et al
 (2022) <doi:10.1289/EHP10479>.

Package: r-cran-pcps
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-syncsa, r-cran-ape, r-cran-picante, r-cran-phylobase, r-cran-vegan, r-cran-rcpparmadillo, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-pcps_1.0.7-1.ca2004.1_all.deb
Size: 126464
MD5sum: 61947ab436695d1030e1b99f3e3086e5
SHA1: 52b969666ed3168217d129b80e5b0b1b5297ca97
SHA256: 3fb3a4080e38acc58c05c9083010ce57f823705238cf9b5e4ae461f929f00e26
SHA512: 2d39568e4f21cf5859ecfd2db828f1aeba6eceaab1881299f1735fb8eeae835608d97a25c79c25857427e254e19b53376dc6dcee53dd35bf94fa5808e0d0d264
Homepage: https://cran.r-project.org/package=PCPS
Description: CRAN Package 'PCPS' (Principal Coordinates of Phylogenetic Structure)
 Set of functions for analysis of Principal Coordinates of Phylogenetic
 Structure (PCPS).

Package: r-cran-pcr
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1074
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-pcr_1.2.2-1.ca2004.1_all.deb
Size: 405416
MD5sum: 7114094ce45a1cfb7a727c5bcea6916e
SHA1: 4870907c70435c356a5df7d084d212c2abe51e37
SHA256: f705d77cf41db861bd76c48b011899fb8e203efb0b3e65b95f0f49109c2a6c68
SHA512: 78807692562e47de8b01d9dc9e5b2a2738549cb792b65ab543b2c43a71323a684e10417913757ab5c04e26584b1189d9be22ab64682893e516ca9777d41d1b3a
Homepage: https://cran.r-project.org/package=pcr
Description: CRAN Package 'pcr' (Analyzing Real-Time Quantitative PCR Data)
 Calculates the amplification efficiency and curves from real-time
 quantitative PCR (Polymerase Chain Reaction) data. Estimates the relative
 expression from PCR data using the double delta CT and the standard curve
 methods Livak & Schmittgen (2001) <doi:10.1006/meth.2001.1262>. Tests for
 statistical significance using two-group tests and linear regression Yuan et
 al. (2006) <doi: 10.1186/1471-2105-7-85>.

Package: r-cran-pcra
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4473
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-performanceanalytics, r-cran-portfolioanalytics, r-cran-boot, r-cran-xts, r-cran-zoo, r-cran-lattice, r-cran-corpcor, r-cran-data.table, r-cran-quadprog, r-cran-robstattm, r-cran-robustbase, r-cran-r.cache
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pcra_1.2-1.ca2004.1_all.deb
Size: 4470660
MD5sum: a08190f80329dab71e7f75757e4acb1e
SHA1: 386b7a273834dc26ad0b3665f4ce97cf0294fdab
SHA256: 2951c657eb00ebb4a5f9038c644edf2f1a59383cab02700718a58d584d0d18bf
SHA512: 9936901e901af642421629203ccff30bd20f68d8c68cf0766a627cba915b9b1ac169bf0b48cac927382dec27aa83ad37cb57e4c333ce006d008da0c59d7799b1
Homepage: https://cran.r-project.org/package=PCRA
Description: CRAN Package 'PCRA' (Companion to Portfolio Construction and Risk Analysis)
 A collection of functions and data sets that support teaching a quantitative
 finance MS level course on Portfolio Construction and Risk Analysis, and the
 writing of a textbook for such a course.  The package is unique in providing
 several real-world data sets that may be used for problem assignments and
 student projects.  The data sets include cross-sections of stock data from
 the Center for Research on Security Prices, LLC (CRSP), corresponding factor
 exposures data from S&P Global, and several SP500 data sets.

Package: r-cran-pcredux
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2658
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-changepoint, r-cran-chippcr, r-cran-ecp, r-cran-fda.usc, r-cran-mbmca, r-cran-pbapply, r-cran-pracma, r-cran-qpcr, r-cran-robustbase, r-cran-segmented, r-cran-shiny, r-cran-zoo
Suggests: r-cran-dt, r-cran-future, r-cran-knitr, r-cran-listenv, r-cran-readxl, r-cran-rmarkdown, r-cran-shinycssloaders, r-cran-spelling, r-cran-testthat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-pcredux_1.2-0-1.ca2004.1_all.deb
Size: 1806216
MD5sum: 72f172ae848f9bca2117bf6d05104f8e
SHA1: 74796064fab556889bf657593ca6eb3d91c3d8da
SHA256: 22483ff8cb1397d8a73d6e65d181c8bd5b4b4206f78cf9ff5d26a64a986fddb2
SHA512: ee4fc4810044b4593878471ac963888952b6e829accee70b6d5107ee01bd24167828e3869d8c7ffeded8eda1fada7230cf712ca2ff15616ab42dd0dac912c51c
Homepage: https://cran.r-project.org/package=PCRedux
Description: CRAN Package 'PCRedux' (Quantitative Polymerase Chain Reaction (qPCR) Data Mining andMachine Learning Toolkit as Described in Burdukiewicz (2022)<doi:10.21105/Joss.04407>)
 Extracts features from amplification curve data of quantitative Polymerase
 Chain Reactions (qPCR) according to Pabinger et al. 2014
 <doi:10.1016/j.bdq.2014.08.002> for machine learning purposes. Helper
 functions prepare the amplification curve data for processing as functional
 data (e.g., Hausdorff distance) or enable the plotting of amplification
 curve classes (negative, ambiguous, positive). The hookreg() and hookregNL()
 functions of Burdukiewicz et al. (2018) <doi:10.1016/j.bdq.2018.08.001> can
 be used to predict amplification curves with an hook effect-like curvature.
 The pcrfit_single() function can be used to extract features from an
 amplification curve.

Package: r-cran-pcs
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-statmod, r-bioc-multtest
Filename: pool/dists/focal/main/r-cran-pcs_1.3-1.ca2004.1_all.deb
Size: 80924
MD5sum: 6e6f0c9086733b7c0b6ec9d7ad24b452
SHA1: 87f6efeb375fc1299abd205027c1252128815cb4
SHA256: 7e092d2dbfab52dd20b664515f31d83474ec2223fc6668d9c14cc06ddb5533eb
SHA512: 1624d8fe93fc9dae4ebb0a585548bc1da96c8316bf24436d493bd390418864b2a2fcc59f0c30a9fd9c85896ece6cadd434517ade5ae11413fafb4bd4c5581aa5
Homepage: https://cran.r-project.org/package=PCS
Description: CRAN Package 'PCS' (Calculate the Probability of Correct Selection (PCS))
 Given k populations (can be in thousands), what is the probability that a
 given subset of size t contains the true top t populations?  This package
 finds this probability and offers three tuning parameters (G, d, L) to relax
 the definition.

Package: r-cran-pcse
Architecture: all
Version: 1.9.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pcse_1.9.1.1-1.ca2004.1_all.deb
Size: 390016
MD5sum: c72542f96e1aff60530aa32fe1027f8f
SHA1: 18d128c7680acef3333e3577bd48426b2486e1cf
SHA256: 13d1a173e8975b0002c4aebbbc5d11aa81d7c0ba05e0729c0e070c6c97a23391
SHA512: d2496d822f1037d9ef2277bc0518510bc8ca8380ef830f33eba4824038f549f98eb58d431ae9d9c41729e6ea578f4b38a077e8add8f25ca9c2ecfdde2a146cfd
Homepage: https://cran.r-project.org/package=pcse
Description: CRAN Package 'pcse' (Panel-Corrected Standard Error Estimation in R)
 A function to estimate panel-corrected standard errors. Data may contain
 balanced or unbalanced panels.

Package: r-cran-pcsinr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcsinr_0.1.0-1.ca2004.1_all.deb
Size: 30896
MD5sum: 644a20c72b97225801378f1767901b90
SHA1: 0913fe9021224a9af1fab91df81be459bd99935c
SHA256: 764d022933ea598d8acf69240069d129f998079dec084aad595ae7311a5ca97f
SHA512: 63eab67d2dd2deb6ed2095bbec4c88b9f3272eacf1069565542a31144d7dc2d70719325815ea87190e30daac4cfe6ba677c9a7a6c490ae04a0410274593c6262
Homepage: https://cran.r-project.org/package=PCSinR
Description: CRAN Package 'PCSinR' (Parallel Constraint Satisfaction Networks in R)
 Parallel Constraint Satisfaction (PCS) models are an increasingly common
 class of models in Psychology, with applications to reading and word
 recognition (McClelland & Rumelhart, 1981), judgment and decision making
 (Glöckner & Betsch, 2008; Glöckner, Hilbig, & Jekel, 2014), and several
 other fields (e.g. Read, Vanman, & Miller, 1997). In each of these fields,
 they provide a quantitative model of psychological phenomena, with precise
 predictions regarding choice probabilities, decision times, and often the
 degree of confidence. This package provides the necessary functions to
 create and simulate basic Parallel Constraint Satisfaction networks within
 R.

Package: r-cran-pcsstools
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 970
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gtools, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pcsstools_0.1.2-1.ca2004.1_all.deb
Size: 898808
MD5sum: b6063574c17aa5e4ef9fdfe4430915df
SHA1: 090c334064f7e7f26bb2d89a5de1ccd67e02f435
SHA256: fa0bf25a60cc4244c5a59513e349d3d0b9ac79f45229d04423deaee19add77d6
SHA512: d60b7a237318c7bd93f9f44b8f0f7d6f2ec22e13c6376e14e20bc0a388449ed05332db2a253ee5d245e381ccddafcda36e4d5758827c09016259149b03417511
Homepage: https://cran.r-project.org/package=pcsstools
Description: CRAN Package 'pcsstools' (Tools for Regression Using Pre-Computed Summary Statistics)
 Defines functions to describe regression models using only pre-computed
 summary statistics (i.e. means, variances, and covariances) in place of
 individual participant data.  Possible models include linear models for
 linear combinations, products, and logical combinations of phenotypes.
 Implements methods presented in Wolf et al. (2021)
 <doi:10.3389/fgene.2021.745901> Wolf et al. (2020)
 <doi:10.1142/9789811215636_0063> and Gasdaska et al. (2019)
 <doi:10.1142/9789813279827_0036>.

Package: r-cran-pcsteiner
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pcsteiner_1.0.0.1-1.ca2004.1_all.deb
Size: 223436
MD5sum: 247ba718a0044fdfbc0a62b42c5c893a
SHA1: 667d930cf504d92c67eca2c1384ade7f34aae679
SHA256: 443835a5cb69abaaa5525d0c79b52d93917f4fe213245e55fc28d658f353b529
SHA512: 66c7738c660a080faa13bf462ea4b6ab56e669046db6f1b4d9ffdc1748038a5139adf043bb34db5dd835e789aff458b8f73b22ada8a6b9120fc5bd1810169d26
Homepage: https://cran.r-project.org/package=pcSteiner
Description: CRAN Package 'pcSteiner' (Convenient Tool for Solving the Prize-Collecting Steiner TreeProblem)
 The Prize-Collecting Steiner Tree problem asks to find a subgraph connecting
 a given set of vertices with the most expensive nodes and least expensive
 edges. Since it is proven to be NP-hard, exact and efficient algorithm does
 not exist. This package provides convenient functionality for obtaining an
 approximate solution to this problem using loopy belief propagation
 algorithm.

Package: r-cran-pct
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-stplanr, r-cran-readr, r-cran-sf, r-cran-crul
Suggests: r-cran-covr, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-leaflet, r-cran-pbapply, r-cran-remotes, r-cran-rmarkdown, r-cran-tmap, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-pct_0.10.0-1.ca2004.1_all.deb
Size: 1091184
MD5sum: 27d16f59afca0799ee14ef966aac291b
SHA1: 1fa378b6f64e2b1d030999e518862f22688467ff
SHA256: 5e06a87e8e2c03bbec42bf186d3cc58fd72aba115df426bdb96f08cc2dba43c4
SHA512: 001dd2f6b5804565b6b7a024166c81c06aa1d6a3b746f3b6116c99555b3b717374b4986e0983220b5bdcaad056cf31c8ea07733327117bbb9650a0ba6d0e5836
Homepage: https://cran.r-project.org/package=pct
Description: CRAN Package 'pct' (Propensity to Cycle Tool)
 Functions and example data to teach and increase the reproducibility of the
 methods and code underlying the Propensity to Cycle Tool (PCT), a research
 project and web application hosted at <https://www.pct.bike/>.  For an
 academic paper on the methods, see Lovelace et al (2017)
 <doi:10.5198/jtlu.2016.862>.

Package: r-cran-pctax
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pcutils, r-cran-dplyr, r-cran-ggplot2, r-cran-vegan, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-ggrepel, r-cran-reshape2, r-cran-tibble, r-cran-ggpubr, r-cran-ggnewscale, r-cran-ade4, r-cran-scales
Suggests: r-cran-picante, r-cran-httr, r-cran-nst, r-cran-permute, r-cran-aplot, r-cran-pheatmap, r-cran-mass, r-cran-rtsne, r-bioc-mixomics, r-cran-geosphere, r-bioc-phyloseq, r-cran-phyloseqgraphtest, r-cran-plotly, r-cran-umap, r-cran-hmisc, r-cran-minpack.lm, r-cran-bbmle, r-cran-snow, r-cran-foreach, r-cran-dosnow, r-cran-patchwork, r-cran-tidytree, r-bioc-ggtree, r-bioc-ggtreeextra, r-cran-vctrs, r-cran-zoo, r-cran-ape, r-bioc-deseq2, r-bioc-limma, r-bioc-aldex2, r-bioc-mfuzz, r-bioc-edger, r-cran-randomforest, r-cran-knitr, r-cran-rmarkdown, r-cran-metanet, r-cran-showtext, r-cran-jsonlite, r-cran-prettydoc, r-cran-readxl, r-cran-clipr, r-cran-zetadiv, r-cran-ggforce
Filename: pool/dists/focal/main/r-cran-pctax_0.1.3-1.ca2004.1_all.deb
Size: 1382336
MD5sum: 261be0c874ba752b4ccd74c8fddfa61a
SHA1: 008cc5b57d0d07531e2428889428779d1016aef6
SHA256: ba16c4034c512d0f29fd01333c375a10f70f74d6ec2cb097cd15e5c09d54d3c5
SHA512: 7afc18d2cb0a9f591191f49d57f927e2ca800bbbc2f4a4b942855ff4e2710e3fe0b8b7d40d6d78478cf9cb186d8020d8976729eb2f8620efc9d73bd86e4780b7
Homepage: https://cran.r-project.org/package=pctax
Description: CRAN Package 'pctax' (Professional Comprehensive Omics Data Analysis)
 Provides a comprehensive suite of tools for analyzing omics data. It
 includes functionalities for alpha diversity analysis, beta diversity
 analysis, differential abundance analysis, community assembly analysis,
 visualization of phylogenetic tree, and functional enrichment analysis. With
 a progressive approach, the package offers a range of analysis methods to
 explore and understand the complex communities. It is designed to support
 researchers and practitioners in conducting in-depth and professional omics
 data analysis.

Package: r-cran-pcts
Architecture: all
Version: 0.15.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2326
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sarima, r-cran-matrix, r-cran-bb, r-cran-polynomf, r-cran-gbutils, r-cran-zoo, r-cran-xts, r-cran-lagged, r-cran-mcompanion, r-cran-rdpack, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-funitroots, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pcts_0.15.8-1.ca2004.1_all.deb
Size: 1787860
MD5sum: c232d43ac8553aaa69ff3c7d68b9de93
SHA1: 9ef9fccb2206790452240d607a782301e0b61488
SHA256: d277e41325a70d5d20b356f014d60337e7c0d32235cfe41b0c805d08d3f8a344
SHA512: 5b8a279a1d0b3abde1c4c72581a8d613626ec86e051d41312c5450dcc57b9ebfde92f925b4c91206857d641bda2808ed4d7a87cab4e5916e6f27fc7966fc82fb
Homepage: https://cran.r-project.org/package=pcts
Description: CRAN Package 'pcts' (Periodically Correlated and Periodically Integrated Time Series)
 Classes and methods for modelling and simulation of periodically correlated
 (PC) and periodically integrated time series.  Compute theoretical periodic
 autocovariances and related properties of PC autoregressive moving average
 models. Some original methods including Boshnakov & Iqelan (2009)
 <doi:10.1111/j.1467-9892.2009.00617.x>, Boshnakov (1996)
 <doi:10.1111/j.1467-9892.1996.tb00281.x>.

Package: r-cran-pcutils
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1852
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-tidyr, r-cran-tibble, r-cran-rcolorbrewer
Suggests: r-cran-agricolae, r-cran-clipr, r-cran-rlang, r-cran-biocmanager, r-cran-ggpubr, r-cran-kableextra, r-cran-htmlwidgets, r-cran-pagedown, r-cran-ggsci, r-cran-readr, r-cran-grimport2, r-cran-rsvg, r-cran-pmcmrplus, r-cran-nortest, r-cran-fitdistrplus, r-cran-ggalluvial, r-cran-gghalves, r-cran-ggspatial, r-cran-sf, r-cran-magick, r-cran-ggimage, r-cran-ggpmisc, r-cran-upsetr, r-cran-eulerr, r-cran-plotrix, r-cran-vegan, r-cran-circlize, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-plotly, r-cran-htmltools, r-cran-leaflet, r-cran-relaimpo, r-cran-snow, r-cran-dosnow, r-cran-foreach, r-cran-stringr, r-cran-ggraph, r-cran-ggrepel, r-cran-treemap, r-cran-voronoitreemap, r-cran-devtools, r-cran-multcompview, r-cran-rio, r-cran-bookdown, r-cran-sysfonts, r-cran-showtext, r-cran-jsonlite, r-cran-httr, r-cran-r.proxy, r-cran-openssl, r-cran-styler, r-cran-lintr, r-cran-aplot, r-cran-ggbeeswarm, r-cran-ggvenndiagram, r-cran-gifski, r-cran-ggnewscale, r-cran-revtools
Filename: pool/dists/focal/main/r-cran-pcutils_0.2.8-1.ca2004.1_all.deb
Size: 1807356
MD5sum: 8496083a5ec321968883de3d099687b0
SHA1: ed87a730d8d2f453eb102a2571ec5b9115a5bb26
SHA256: b2ab27469c41eef0369de44cd61b2cfeb90d44773092c9726ac8e0a98ba7e6a4
SHA512: a6fda2f9bd89afaef428be8bf5cfeae8966de0de0375f7995aee16f2ccbb781a1ac8c4c59cfa5f118b349241ba12432d320468cb999b2a811739297b1fa3daa9
Homepage: https://cran.r-project.org/package=pcutils
Description: CRAN Package 'pcutils' (Some Useful Functions for Statistics and Visualization)
 Offers a range of utilities and functions for everyday programming tasks.
 1.Data Manipulation. Such as grouping and merging, column splitting, and
 character expansion. 2.File Handling. Read and convert files in popular
 formats. 3.Plotting Assistance. Helpful utilities for generating color
 palettes, validating color formats, and adding transparency.  4.Statistical
 Analysis. Includes functions for pairwise comparisons and multiple testing
 corrections, enabling perform statistical analyses with ease. 5.Graph
 Plotting, Provides efficient tools for creating doughnut plot and
 multi-layered doughnut plot; Venn diagrams, including traditional Venn
 diagrams, upset plots, and flower plots; Simplified functions for creating
 stacked bar plots, or a box plot with alphabets group for multiple
 comparison group.

Package: r-cran-pcv
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcv_1.1.0-1.ca2004.1_all.deb
Size: 476396
MD5sum: b67196d228d0b02f89857355b3b9f330
SHA1: ea26d9a8b08a1387c26b443dee22ebe6866c7ce9
SHA256: a956097becd1875d8f2f1c88ee149b0516c3e8ccdf75192b768e766e30afd2ba
SHA512: 97d815b8ecee3247e807968926139ebc900abc2394d94b1923ceb37581d069236ae5d8cb406852d5dea50e8dd5f831ec858f802fb5978fafa9bea1a726c27c79
Homepage: https://cran.r-project.org/package=pcv
Description: CRAN Package 'pcv' (Procrustes Cross-Validation)
 Implements Procrustes cross-validation method for Principal Component
 Analysis, Principal Component Regression and Partial Least Squares
 regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.

Package: r-cran-pcvr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-rlang, r-cran-data.table, r-cran-ggplot2, r-cran-ggridges, r-cran-igraph, r-cran-jsonlite, r-cran-lme4, r-cran-patchwork, r-cran-extradistr, r-cran-bayestestr, r-cran-viridis, r-cran-mgcv, r-cran-quantreg, r-cran-nlme, r-cran-lmesplines, r-cran-scales, r-cran-survival, r-cran-car
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-brms, r-cran-flexsurv, r-cran-curl, r-cran-rstan, r-cran-caret, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pcvr_1.2.0-1.ca2004.1_all.deb
Size: 2771876
MD5sum: f793c30457afc937bce174fd9f0af4bb
SHA1: 62606097a006e166034172da9fa47a3e95e79525
SHA256: 270e73e7dec4556d797d7d2868b762eeb279be4a3f3100fab7a9663ac6a381d5
SHA512: 92553b2b167a1569ec2fe437f640bad561a3511ead5baa12f3971f53c7f6d9dd375c7741a559a1b4397a0dff995c7ed8f51bc2d677472ac05bd6b1af97dd0cdd
Homepage: https://cran.r-project.org/package=pcvr
Description: CRAN Package 'pcvr' (Plant Phenotyping and Bayesian Statistics)
 Analyse common types of plant phenotyping data, provide a simplified
 interface to longitudinal growth modeling and select Bayesian statistics,
 and streamline use of 'PlantCV' output.  Several Bayesian methods and
 reporting guidelines for Bayesian methods are described in Kruschke (2018)
 <doi:10.1177/2515245918771304>, Kruschke (2013) <doi:10.1037/a0029146>, and
 Kruschke (2021) <doi:10.1038/s41562-021-01177-7>.

Package: r-cran-pdcor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dcov, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-pdcor_1.0-1.ca2004.1_all.deb
Size: 18432
MD5sum: 05c6819a8a4be4b7c3acf49115c1c3de
SHA1: 0fdca1652fda44222f6782486933ef0d89e8128d
SHA256: 24542c7443acadbc2f7aef72925582d49dc7e71a07b83d04825584d788688394
SHA512: c122ab3a70d5202bca9b997544df2b6649d8fcb9512b2de88a4c16acaced5b1edf0935408a393e1d4b2eb629bab42092f969e763600951bc58d59c3bdf1207cf
Homepage: https://cran.r-project.org/package=pdcor
Description: CRAN Package 'pdcor' (Fast and Light-Weight Partial Distance Correlation)
 Fast and memory-less computation of the partial distance correlation for
 vectors and matrices. Permutation-based and asymptotic hypothesis testing
 for zero partial distance correlation are also performed. References
 include: Szekely G. J. and Rizzo M. L. (2014). "Partial distance correlation
 with methods for dissimilarities". The Annals Statistics, 42(6): 2382--2412.
 <doi:10.1214/14-AOS1255>. Shen C., Panda S. and Vogelstein J. T. (2022).
 "The Chi-Square Test of Distance Correlation". Journal of Computational and
 Graphical Statistics, 31(1): 254--262. <doi:10.1080/10618600.2021.1938585>.
 Szekely G. J. and Rizzo M. L. (2023). "The Energy of Data and Distance
 Correlation". Chapman and Hall/CRC. <ISBN:9781482242744>.

Package: r-cran-pde
Architecture: all
Version: 1.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3882
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tcltk2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pde_1.4.10-1.ca2004.1_all.deb
Size: 2392664
MD5sum: d9aace31ec94b34d6211fa00ce8136a0
SHA1: e610fac2295e2be265ea475fa37f82242a440c6e
SHA256: 294ae43703693c7d64ba752fd1168f915c657afd0cbfd5742b189e773a6e2f83
SHA512: cd5435627f8bb3489a8b92d31b390b0ee6c1d7d047ee3d7bee0ce7fb9591480562a9a60eca8a1581926b8cb31374a00059680d4ddafc780ce82f395c44b79e1e
Homepage: https://cran.r-project.org/package=PDE
Description: CRAN Package 'PDE' (Extract Tables and Sentences from PDFs with User Interface)
 The PDE (Pdf Data Extractor) allows the extraction of information and tables
 optionally based on search words from PDF (Portable Document Format) files
 and enables the visualization of the results, both by providing a convenient
 user-interface.

Package: r-cran-pder
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2269
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plm
Suggests: r-cran-car, r-cran-dplyr, r-cran-ggplot2, r-cran-lmtest, r-cran-msm, r-cran-pglm, r-cran-splm, r-cran-survival, r-cran-texreg
Filename: pool/dists/focal/main/r-cran-pder_1.0-2-1.ca2004.1_all.deb
Size: 2264764
MD5sum: 9cc11472bf56d4bc7153500242939aef
SHA1: 2c5f0ad912d11a576e2c77bf3e1a51c0cc134aa9
SHA256: e54e7dc7fbca51dd559deb7df240bc7dc04db466c61b490ab84d5bde7e1b77ec
SHA512: 5a0d232948e1566aee0c2b8cb694c36a2f1504fdb9299f07db755fb54b1b435d176771bca783992be54c0fbb7e303fc96cdb39680234bd74b3f2c8eb5cd3bf38
Homepage: https://cran.r-project.org/package=pder
Description: CRAN Package 'pder' (Panel Data Econometrics with R)
 Data sets for the Panel Data Econometrics with R <doi:10.1002/9781119504641>
 book.

Package: r-cran-pdfetch
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-zoo, r-cran-xts, r-cran-xml, r-cran-lubridate, r-cran-jsonlite, r-cran-xml2, r-cran-stringr, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-pdfetch_0.3.3-1.ca2004.1_all.deb
Size: 72168
MD5sum: 5c6e0cd0e3210311510b1d419354b0f5
SHA1: da580afafc5942ae7dd8bcbb4c161911ab4184cd
SHA256: c623f21d65f40751d19a4cb06b699696136bf2fcde3a40b1a6e8fa4b664d8ba1
SHA512: 36b1c98d73d55061a026aa1db300482aed87208737d9635dfa12fdc0d8c609523c8b6d7ae4efc2444a4a150624ef05a211d2aeaee69c3b7a4ca5d55478a0688a
Homepage: https://cran.r-project.org/package=pdfetch
Description: CRAN Package 'pdfetch' (Fetch Economic and Financial Time Series Data from PublicSources)
 Download economic and financial time series from public sources, including
 the St Louis Fed's FRED system, Yahoo Finance, the US Bureau of Labor
 Statistics, the US Energy Information Administration, the World Bank,
 Eurostat, the European Central Bank, the Bank of England, the UK's Office of
 National Statistics, Deutsche Bundesbank, and INSEE.

Package: r-cran-pdfminer
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-jsonlite
Suggests: r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-pdfminer_1.0-1.ca2004.1_all.deb
Size: 164596
MD5sum: 922236b75296f255e3f068225aea51d0
SHA1: 59a808711b5e831fafca0d1c9c77a4659e97b380
SHA256: 84ce3c5a94d6ea2f8caba90c46a3677dbb1f75554cfab394a3169db2f25739dd
SHA512: a958653ecf11869b4221b67c56b1f4dbaf203784f4d48495bb48088256555b76448d53bacf360f414aa2a4fb7b6a36984b88ccb4f988c48136455305415748da
Homepage: https://cran.r-project.org/package=pdfminer
Description: CRAN Package 'pdfminer' (Read Portable Document Format (PDF) Files)
 Provides an interface to 'PDFMiner'
 <https://github.com/pdfminer/pdfminer.six> a 'Python' package for extracting
 information from 'PDF'-files.  'PDFMiner' has the goal to get all
 information available in a 'PDF'-file, position of the characters, font
 type, font size and informations about lines.  Which makes it the perfect
 starting point for extracting tables from 'PDF'-files.  More information can
 be found in the package 'README'-file.

Package: r-cran-pdfsearch
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1015
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pdftools, r-cran-tibble, r-cran-tokenizers, r-cran-stringi, r-cran-readr
Suggests: r-cran-shiny, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pdfsearch_0.4.3-1.ca2004.1_all.deb
Size: 832124
MD5sum: 07cbb4da9ae410dc94cb9993903ecc6c
SHA1: 12b250d72f58a4cbe173de75b2a21caa7bb26725
SHA256: f25fcdffc1759871fe791038feef7a541c9b3a5e17907cb8777125e50d6be239
SHA512: 24014ca68cba0df861994cbc93e35d72aba791780b4ec95dce2d3ef9735203d157587efa43f34a18c3b8e61e8fed4a918cf399813df8c9a038ac06cd7a231d8e
Homepage: https://cran.r-project.org/package=pdfsearch
Description: CRAN Package 'pdfsearch' (Search Tools for PDF Files)
 Includes functions for keyword search of pdf files. There is also a wrapper
 that includes searching of all files within a single directory.

Package: r-cran-pdftables
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pdftables_0.1-1.ca2004.1_all.deb
Size: 131176
MD5sum: 3fefb2cfda4ac9a4f2b70952ecc1a68e
SHA1: 391f96cfdf7a25174b933bf1f4c159734454ad0d
SHA256: 4ef5a69e01f3ca95708791132545ad98141bed0e3358d5de86e754a0d55f4d54
SHA512: 01d3d1ad84531a3a63f08419d8ced7d64cc2a0a6a5e0eb43dddffd35114940e4083215b5e2d258174994a0e4e83061e777da87f34a638f0de860fc6552f26845
Homepage: https://cran.r-project.org/package=pdftables
Description: CRAN Package 'pdftables' (Programmatic Conversion of PDF Tables)
 Allows the user to convert PDF tables to formats more amenable to analysis
 ('.csv', '.xml', or '.xlsx') by wrapping the PDFTables API.  In order to use
 the package, the user needs to sign up for an API account on the PDFTables
 website (<https://pdftables.com/pdf-to-excel-api>).  The package works by
 taking a PDF file as input, uploading it to PDFTables, and returning a file
 with the extracted data.

Package: r-cran-pdi
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-randomforest, r-cran-readxl, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pdi_0.4.2-1.ca2004.1_all.deb
Size: 152020
MD5sum: aaf4faaf8cc08f36e632bba719225a8b
SHA1: a8d48ca7fd73a4859109aacd96e4a169ae2cd8e3
SHA256: 8af42e7e4b31944802a3661f3d37646005b60b4c97091b7e5f813135c734e0c4
SHA512: f43bda365a2705495c0fd37d718932be43afcb04d48d65970192a35e8d141ffe5688f88fd50358272728d501b696b697341ac2d52725c8d428b41267fab6c464
Homepage: https://cran.r-project.org/package=pdi
Description: CRAN Package 'pdi' (Phenotypic Index Measures for Oak Decline Severity)
 Oak declines are complex disease syndromes and consist of many visual
 indicators that include aspects of tree size, crown condition and trunk
 condition. This can cause difficulty in the manual classification of
 symptomatic and non-symptomatic trees from what is in reality a broad
 spectrum of oak tree health condition. Two phenotypic oak decline indexes
 have been developed to quantitatively describe and differentiate oak decline
 syndromes in Quercus robur. This package provides a toolkit to generate
 these decline indexes from phenotypic descriptors using the machine learning
 algorithm random forest. The methodology for generating these indexes is
 outlined in Finch et al. (2121) <doi:10.1016/j.foreco.2021.118948>.

Package: r-cran-pdm
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-pdm_0.1-1.ca2004.1_all.deb
Size: 12296
MD5sum: 547ba7ecd44ab75716b0456fe627619f
SHA1: fb39897bad1668f2681c61a79cea8167858e8650
SHA256: 03af81239a8c789122fab435e57ec2884cfeaac96a6d9f6def0276d78160d69d
SHA512: dd37056c6040b893c8b966fd25990d63b7eb008a2b8e358c34e27ce6e69bedc959862fc855d11fefbc672560dcc555ad67c0150a15e334df3024a5e5d514e4ad
Homepage: https://cran.r-project.org/package=PDM
Description: CRAN Package 'PDM' (Photogrammetric Distances Measurer)
 Measures real distances in pictures. With PDM() function, you can choose one
 '*.jpg' file, select the measure in mm of scale, starting and and finishing
 point in the graphical scale, the name of the measure, and starting and and
 finishing point of the measures. After, ask the user for a new measure.

Package: r-cran-pdmif
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1872
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagonals, r-cran-ncvreg, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-pdmif_0.1.0-1.ca2004.1_all.deb
Size: 1869560
MD5sum: 6a3f8da225ff5a3041e033bd1273356c
SHA1: f816921be57b786e13403e1ae6a8165618334151
SHA256: 8d68d2acccdbf54a4dc6b576776bb9e59b67f4f1ee878624c9dd8861e756d9b5
SHA512: f169013910518c645df6db111375afa328b888a7d12db16be2c3c3622bc628d9a1c05425880ba5e30a96ca00485eb7716b4123caf96382b509911a6f33be1c5c
Homepage: https://cran.r-project.org/package=PDMIF
Description: CRAN Package 'PDMIF' (Fits Heterogeneous Panel Data Models)
 Fits heterogeneous panel data models with interactive effects for linear
 regression, logistic, count, probit, quantile, and clustering. Based on
 Ando, T. and Bai, J. (2015) "A simple new test for slope homogeneity in
 panel data models with interactive effects" <doi:
 10.1016/j.econlet.2015.09.019>, Ando, T. and Bai, J. (2015) "Asset Pricing
 with a General Multifactor Structure" <doi: 10.1093/jjfinex/nbu026> , Ando,
 T. and Bai, J. (2016) "Panel data models with grouped factor structure under
 unknown group membership" <doi: 10.1002/jae.2467>, Ando, T. and Bai, J.
 (2017) "Clustering huge number of financial time series: A panel data
 approach with high-dimensional predictors and factor structures" <doi:
 10.1080/01621459.2016.1195743>, Ando, T. and Bai, J. (2020) "Quantile
 co-movement in financial markets" <doi: 10.1080/01621459.2018.1543598>,
 Ando, T., Bai, J. and Li, K. (2021) "Bayesian and maximum likelihood
 analysis of large-scale panel choice models with unobserved heterogeneity"
 <doi: 10.1016/j.jeconom.2020.11.013.>.

Package: r-cran-pdn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-glmnet, r-cran-ggplot2, r-cran-network
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pdn_0.1.0-1.ca2004.1_all.deb
Size: 96176
MD5sum: f6c606a07bd13384499399df252b111f
SHA1: c03fb6b28a2fa781d53450f06b3d1f900d7700b0
SHA256: 07759d33a3014fd748c271bbe50d4ef1029585c4057d0a58253b00615a4529d0
SHA512: a1b522a2ec8c9bd866ca4e668d48024423ae89d1bd29ced97b1f4ad8caf95abb75587472968fbc74049de98cd7581b487b21f030392e342daa5090d275fba383
Homepage: https://cran.r-project.org/package=PDN
Description: CRAN Package 'PDN' (Personalized Disease Network)
 Building patient level networks for prediction of medical outcomes and draw
 the cluster of network.  This package is based on paper Personalized disease
 networks for understanding and predicting cardiovascular diseases and other
 complex processes (See Cabrera et al.
 <http://circ.ahajournals.org/content/134/Suppl_1/A14957>).

Package: r-cran-pdpdb
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-dendextend, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-pdpdb_2.0.1-1.ca2004.1_all.deb
Size: 94200
MD5sum: 9823b31091284c066917ca3908138672
SHA1: 048ad452c5ab03e17d9377ceb9c57e69d58715a8
SHA256: a421946e5553a0cc619cc83c97cf8fb3dfb15f49100ea3a99cb8860e46335b44
SHA512: 99f54646fb847290c49baf0cf6b71a2f5f24d377f4e20c121c5660f81d2a8638e0d74d58d23c7e76eaeee4cb6a0bfcde9f85a3c9193cb92cf829982e5e6d864d
Homepage: https://cran.r-project.org/package=PdPDB
Description: CRAN Package 'PdPDB' (Pattern Discovery in PDB Structures of Metalloproteins)
 Looks for amino acid and/or nucleotide patterns and/or small ligands
 coordinated to a given prosthetic centre. Files have to be in the local file
 system and contain proper extension.

Package: r-cran-pdqr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1582
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-pillar, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-pdqr_0.3.1-1.ca2004.1_all.deb
Size: 1132580
MD5sum: 3397c9dc12979d57661c1ba9157fed9e
SHA1: fd52e05730d4bdf1f442395bfb12101def06fb09
SHA256: bc3855925137f262db03708e89efeddada032871b5c9e2aa31999cca8ee7727e
SHA512: 9294a1bbc13cf0fecdb0d3607f466f5c17cb3339f2d7551779a68bf78b1713e14097ea5380a055a8c727fdf839e9b6e2c0073f4e90093af71247eeddf4b4fa99
Homepage: https://cran.r-project.org/package=pdqr
Description: CRAN Package 'pdqr' (Work with Custom Distribution Functions)
 Create, transform, and summarize custom random variables with distribution
 functions (analogues of 'p*()', 'd*()', 'q*()', and 'r*()' functions from
 base R). Two types of distributions are supported: "discrete" (random
 variable has finite number of output values) and "continuous" (infinite
 number of values in the form of continuous random variable). Functions for
 distribution transformations and summaries are available. Implemented
 approaches often emphasize approximate and numerical solutions: all
 distributions assume finite support and finite values of density function;
 some methods implemented with simulation techniques.

Package: r-cran-pdqutils
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orthopolynom, r-cran-moments
Suggests: r-cran-ggplot2, r-cran-reshape2, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pdqutils_0.1.6-1.ca2004.1_all.deb
Size: 475644
MD5sum: 1a83e361c62da6e0bf237aabd61693d4
SHA1: 074440bdb5dfcebb52c1709515f4aeed629952a9
SHA256: 2011ea504efc0633f15ca88703022c17ec5730785319ac4b6c95de2587c1eefe
SHA512: 42f288cce6cf8da98712a5ab370b6f9c1a0ff05f80012a55aa7d3df4b9f046826a85c7c352f72d32fb1b77b94e4146a8e34653bdd36062fb684ee196b7a5f3e1
Homepage: https://cran.r-project.org/package=PDQutils
Description: CRAN Package 'PDQutils' (PDQ Functions via Gram Charlier, Edgeworth, and Cornish FisherApproximations)
 A collection of tools for approximating the 'PDQ' functions (respectively,
 the cumulative distribution, density, and quantile) of probability
 distributions via classical expansions involving moments and cumulants.

Package: r-cran-pdr
Architecture: all
Version: 1.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plm, r-cran-pglm, r-cran-lme4, r-cran-glmmtmb
Filename: pool/dists/focal/main/r-cran-pdr_1.9.3-1.ca2004.1_all.deb
Size: 573016
MD5sum: 8f660da68055cc911a1cf1028b99daa3
SHA1: 014c7403203736333de99ee382a46c16789a7c56
SHA256: f7147f255ab3e05947fd3b5252c6e658d216b3b2eb43982555b3f9c7d767241c
SHA512: fbbe440054b4c0b3fdb17fb11a9643c0b842dbd126e8a64ad9b97195c0cf4ef901311f141634a199fedca26d40da3eb3ec6605ac0acd16e72a4ec1c0750d323f
Homepage: https://cran.r-project.org/package=pdR
Description: CRAN Package 'pdR' (Threshold Model and Unit Root Tests in Cross-Section and TimeSeries Data)
 Threshold model, panel version of Hylleberg et al. (1990)
 <DOI:10.1016/0304-4076(90)90080-D> seasonal unit root tests, and panel unit
 root test of Chang (2002) <DOI:10.1016/S0304-4076(02)00095-7>.

Package: r-cran-pdshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-pdshiny_0.1.0-1.ca2004.1_all.deb
Size: 71180
MD5sum: 3fe4ed3e37bf44d5257268c79faa50af
SHA1: e096de8e543bae12e4ea47480de7bd0cff2ca36c
SHA256: 63f90526217278756056b7342f24b36d01424cc1b06774e53f2630a5228a59f8
SHA512: dea8f3bf9e2134c93747436ddfcf4c61e5306d415e3916638331453f5f092bb7a936d2ba544b75f3e7c3e16ac68a23d773bf81071c5c6ee5beacfe83efe45c4a
Homepage: https://cran.r-project.org/package=PDShiny
Description: CRAN Package 'PDShiny' ('Probability Distribution Shiny')
 Interactive shiny application for working with Probability Distributions.
 Calculations and Graphs are provided.

Package: r-cran-pdt
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pdt_0.0.2-1.ca2004.1_all.deb
Size: 59108
MD5sum: 768ed7aeb291d4687aaa676c079bd6b1
SHA1: c05f127443293f1fe805ce59f4983906c47725dc
SHA256: 6fc3755e63dad71f1d316440fc1e4259125bc8faf10f4a1a01e3872b5fd2ba1a
SHA512: 8fd218d24ef1ee0ebb95562fae951169d7624efb8d80fed9dd7cc3f4eed6b35cad7181d007752741596630956dd3f7a9eae10efbe203fedec011d8e0ea72a484
Homepage: https://cran.r-project.org/package=pdt
Description: CRAN Package 'pdt' (Permutation Distancing Test)
 Permutation (randomisation) test for single-case phase design data with two
 phases (e.g., pre- and post-treatment). Correction for dependency of
 observations is done through stepwise resampling the time series while
 varying the distance between observations. The required distance 0,1,2,3..
 is determined based on repeated dependency testing while stepwise increasing
 the distance.  In preparation: Vroegindeweij et al. "A Permutation
 distancing test for single-case observational AB phase design data: A Monte
 Carlo simulation study".

Package: r-cran-pdtoolkit
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-monobin, r-cran-dplyr, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-pdtoolkit_1.2.0-1.ca2004.1_all.deb
Size: 524700
MD5sum: 79c1ebfe0e78c9625e0a5d9cd0fb70a4
SHA1: 77a674aab2fe09e57708eb5c60ac1ee4ecb9e201
SHA256: 609a6b205c2ecde469994134430a26ea609b9471e65f05613cadb6895e92254b
SHA512: b11fb6e3d67dec87da44fa70085fbda29652fa0f579c5c518b6e94b0838c07eec8e081234657a50ccfb093f6ecadc8a46819162a9d7ad010b8f8f8343f61b109
Homepage: https://cran.r-project.org/package=PDtoolkit
Description: CRAN Package 'PDtoolkit' (Collection of Tools for PD Rating Model Development andValidation)
 The goal of this package is to cover the most common steps in probability of
 default (PD) rating model development and validation.  The main procedures
 available are those that refer to univariate, bivariate, multivariate
 analysis, calibration and validation.  Along with accompanied 'monobin' and
 'monobinShiny' packages, 'PDtoolkit' provides functions which are suitable
 for different data transformation and modeling tasks such as: imputations,
 monotonic binning of numeric risk factors, binning of categorical risk
 factors, weights of evidence (WoE) and information value (IV) calculations,
 WoE coding (replacement of risk factors modalities with WoE values), risk
 factor clustering, area under curve (AUC) calculation and others.
 Additionally, package provides set of validation functions for testing
 homogeneity, heterogeneity, discriminatory and predictive power of the
 model.

Package: r-cran-pdxpower
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-nlme, r-cran-ggplot2, r-cran-ggpubr, r-cran-frailtypack
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pdxpower_1.0.4-1.ca2004.1_all.deb
Size: 140080
MD5sum: e47cd390af4aaadf33acc7ebad949f48
SHA1: b8576fb160b67c682d1f1c98a79a6ac8385ea8e0
SHA256: ff881c4a19948ea279086f2ee821fd1aadd5729a1fe71e7d7b9085cccbdfd281
SHA512: 873e9ccca3a8b44ce55fab0d0164ac3ec1e22e4ed3ba20c99df94fa3ce2c0c901a0254646e73e036ce75c8f8f78865a6c8287878af71965752e99399e3a4ee54
Homepage: https://cran.r-project.org/package=PDXpower
Description: CRAN Package 'PDXpower' (Time to Event Outcome in Experimental Designs of Pre-ClinicalStudies)
 Conduct simulation-based customized power calculation for clustered time to
 event data in a mixed crossed/nested design, where a number of cell lines
 and a number of mice within each cell line are considered to achieve a
 desired statistical power, motivated by Eckel-Passow and colleagues (2021)
 <doi:10.1093/neuonc/noab137> and Li and colleagues (2024)
 <doi:10.48550/arXiv.2404.08927>.  This package provides two commonly used
 models for powering a design, linear mixed effects and Cox frailty model.
 Both models account for within-subject (cell line) correlation while holding
 different distributional assumptions about the outcome.  Alternatively, the
 counterparts of fixed effects model are also available, which produces
 similar estimates of statistical power.

Package: r-cran-pdxtrees
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2003
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-leaflet.extras, r-cran-gganimate, r-cran-infer, r-cran-moderndive, r-cran-readr, r-cran-gifski, r-cran-ggplot2, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-pdxtrees_0.4.0-1.ca2004.1_all.deb
Size: 1130312
MD5sum: 0460299e9dccc126bb0bd59cb510fe0e
SHA1: c2dbc1c162d64940924c7e19c4e0f636c3ae00b2
SHA256: 3d7e04fdde6fbc46ea5f7b3eafea7c95f6f2d0bdbccba6ab05b6fe954c0ab192
SHA512: e73b2a982b284c55e1bc3d313e217ef07f05eb257f732f7daa1dc130f0ce0aaeed590d776b9477464d3f740f195d6d4e16cad34c5e8734449c57d864c886ded0
Homepage: https://cran.r-project.org/package=pdxTrees
Description: CRAN Package 'pdxTrees' (Data Package of Portland, Oregon Trees)
 An engaging collection of datasets from Portland Parks and Recreation. The
 city of Portland inventoried every tree in over 170 parks and along the
 streets in 96 neighborhoods.

Package: r-cran-pdynmc
Architecture: all
Version: 0.9.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1383
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-mass, r-cran-matrix, r-cran-optimx, r-cran-rdpack
Suggests: r-cran-pder, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pdynmc_0.9.12-1.ca2004.1_all.deb
Size: 1135548
MD5sum: 149ab8907f3420409bc2e61fc8cf1cf1
SHA1: 75c20b5237c2588620d408e085aa5f99dbd4a750
SHA256: d886a9449d97c79a42f29003ac4566ee65a389ca7c011f5a3cb38c85e5b7d389
SHA512: 17d848175c2c8e1e77ddc8bd2afdc141c4df649b97abb0366028c6daabeff3ec02619c63ca4dedd76ad40e337c3c267abd702927499c1d18eaaa87e579d1ce5e
Homepage: https://cran.r-project.org/package=pdynmc
Description: CRAN Package 'pdynmc' (Moment Condition Based Estimation of Linear Dynamic Panel DataModels)
 Linear dynamic panel data modeling based on linear and nonlinear moment
 conditions as proposed by Holtz-Eakin, Newey, and Rosen (1988)
 <doi:10.2307/1913103>, Ahn and Schmidt (1995)
 <doi:10.1016/0304-4076(94)01641-C>, and Arellano and Bover (1995)
 <doi:10.1016/0304-4076(94)01642-D>.  Estimation of the model parameters
 relies on the Generalized Method of Moments (GMM) and instrumental variables
 (IV) estimation, numerical optimization (when nonlinear moment conditions
 are employed) and the computation of closed form solutions (when estimation
 is based on linear moment conditions). One-step, two-step and iterated
 estimation is available. For inference and specification testing, Windmeijer
 (2005) <doi:10.1016/j.jeconom.2004.02.005> and doubly corrected standard
 errors (Hwang, Kang, Lee, 2021 <doi:10.1016/j.jeconom.2020.09.010>) are
 available. Additionally, serial correlation tests, tests for
 overidentification, and Wald tests are provided. Functions for visualizing
 panel data structures and modeling results obtained from GMM estimation are
 also available. The plot methods include functions to plot unbalanced panel
 structure, coefficient ranges and coefficient paths across GMM iterations
 (the latter is implemented according to the plot shown in Hansen and Lee,
 2021 <doi:10.3982/ECTA16274>).  For a more detailed description of the
 GMM-based functionality, please see Fritsch, Pua, Schnurbus (2021)
 <doi:10.32614/RJ-2021-035>.  For more details on the IV-based estimation
 routines, see Fritsch, Pua, and Schnurbus (WP, 2024) and Han and Phillips
 (2010) <doi:10.1017/S026646660909063X>.

Package: r-cran-peacesciencer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3447
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-geosphere, r-cran-tidyr, r-cran-stringr, r-cran-rlang, r-cran-stevemisc, r-cran-lifecycle
Suggests: r-cran-countrycode, r-cran-tibble, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-peacesciencer_1.1.0-1.ca2004.1_all.deb
Size: 3447740
MD5sum: b783f1704d9f085d51fafffc8fbe312f
SHA1: 0a337ad792ea1d8d4f6872c406116caf4d797821
SHA256: 348e3ec5e27d370faf5551b6d9a89d9c85d8d0bb78eae669de400b4f7b2b39d7
SHA512: 81cd7c119fb1a0dbe5dc36f9c7ad190f7d99942d4ab78ec6c2e3989402a8d2b82095bf9784a932bdac62fdbb96bb0f8288948c55b70739f593294809a1075bf5
Homepage: https://cran.r-project.org/package=peacesciencer
Description: CRAN Package 'peacesciencer' (Tools and Data for Quantitative Peace Science Research)
 These are useful tools and data sets for the study of quantitative peace
 science. The goal for this package is to include tools and data sets for
 doing original research that mimics well what a user would have to
 previously get from a software package that may not be well-sourced or
 well-supported.  Those software bundles were useful the extent to which they
 encourage replications of long-standing analyses by starting the
 data-generating process from scratch. However, a lot of the functionality
 can be done relatively quickly and more transparently in the R programming
 language.

Package: r-cran-peach
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mnormt, r-cran-metap
Filename: pool/dists/focal/main/r-cran-peach_0.1.1-1.ca2004.1_all.deb
Size: 2617296
MD5sum: 9369251cb5bc17e60e1d4182fee66d2f
SHA1: 0742a40d50dfdb0a2a8195e76f4ad7811f136bc7
SHA256: b4932e8bb3b2b5d287a9e57796fcda0cf6aa0a8c01cb99fb08c1d916bbbab9cb
SHA512: c3739f2729053d3cb71fcc660ff117aa46a2cf07df2a9c4ef5a344aaa154b80484d58f56067d7a2fb55beb3f9227cb14c26303d8235eb3fa6ba5a7e9330b621f
Homepage: https://cran.r-project.org/package=PEACH
Description: CRAN Package 'PEACH' (Pareto Enrichment Analysis for Combining Heterogeneous Datasets)
 A meta gene set analysis tool developed based on principles of Pareto
 dominance (William B T Mock (2011) <doi:10.1007/978-1-4020-9160-5_341>). It
 is designed to combine gene set analysis p-values from multiple
 transcriptome datasets (e.g., microarray and RNA-Seq). The novel Pareto
 method for p-value combination allows PEACH to properly model heterogeneity
 and correlation in Omics datasets.

Package: r-cran-peacock.test
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-peacock.test_1.0-1.ca2004.1_all.deb
Size: 22204
MD5sum: bac70ee9592d15ee689dad8982e72f99
SHA1: dddccfd08b1c633963e7ea110dfe3f27ac545db3
SHA256: 696ebba766e9556e04294356f928947cfc847438317bee7e1a0210ec5a3c856c
SHA512: fa90fb0c40088a73889bf1f2f7450d5dcd898a90ab36950d244bd29c521b6d93c21b44b37dfed5ab11db84069b9812f3590e3aa15d4f39ca58bb5078d4f2adef
Homepage: https://cran.r-project.org/package=Peacock.test
Description: CRAN Package 'Peacock.test' (Two and Three Dimensional Kolmogorov-Smirnov Two-Sample Tests)
 The original definition of the two and three dimensional Kolmogorov-Smirnov
 two-sample test statistics given by Peacock (1983) is implemented. Two
 R-functions: peacock2 and peacock3, are provided to compute the test
 statistics in two and three dimensional spaces, respectively.  Note the
 Peacock test is different from the Fasano and Franceschini test (1987). The
 latter is a variant of the Peacock test.

Package: r-cran-peacots
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-peacots_1.3.2-1.ca2004.1_all.deb
Size: 158240
MD5sum: 0176f6760193ac452ba620694f4b5319
SHA1: 45e6ff600e07f569c67b122156f876593acf8f74
SHA256: 36242c10004123086b4e243aa800379640efc10fa9fc294c7a3229e830de25b4
SHA512: c1f3de26986d38b699cd53d1f16a196bc03689bcadca9529f6a487941608f123d724bb9f942859adb454b9e6e139e41590a41c6671a8a63a2897762d8f479698
Homepage: https://cran.r-project.org/package=peacots
Description: CRAN Package 'peacots' (Periodogram Peaks in Correlated Time Series)
 Calculates the periodogram of a time series, maximum-likelihood fits an
 Ornstein-Uhlenbeck state space (OUSS) null model and evaluates the
 statistical significance of periodogram peaks against the OUSS null
 hypothesis. The OUSS is a parsimonious model for stochastically fluctuating
 variables with linear stabilizing forces, subject to uncorrelated
 measurement errors. Contrary to the classical white noise null model for
 detecting cyclicity, the OUSS model can account for temporal correlations
 typically occurring in ecological and geological time series. Citation:
 Louca, Stilianos and Doebeli, Michael (2015) <doi:10.1890/14-0126.1>.

Package: r-cran-peakram
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-peakram_1.0.2-1.ca2004.1_all.deb
Size: 16996
MD5sum: 3989d1c90348f86e7ef183c57cc656d5
SHA1: dee96bbf83084c35a6cdb11e9bd9ec6270680f08
SHA256: 835a91bed446d105ab86702227f611c8d8c24e981c4470ac5419fc2b8e00323b
SHA512: a61018694464caf157b9e5bfae00d00e6291411b3ca6c5349b98f73c0b5f1f2c645686fa52587cec33232107b53221fc92b07ea82ad60fa416a8cbc9d814f581
Homepage: https://cran.r-project.org/package=peakRAM
Description: CRAN Package 'peakRAM' (Monitor the Total and Peak RAM Used by an Expression or Function)
 When working with big data sets, RAM conservation is critically important.
 However, it is not always enough to just monitor the size of the objects
 created. So-called "copy-on-modify" behavior, characteristic of R, means
 that some expressions or functions may require an unexpectedly large amount
 of RAM overhead. For example, replacing a single value in a matrix
 duplicates that matrix in the back-end, making this task require twice as
 much RAM as that used by the matrix itself. This package makes it easy to
 monitor the total and peak RAM used so that developers can quickly identify
 and eliminate RAM hungry code.

Package: r-cran-pearson7
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pearson7_1.0-3-1.ca2004.1_all.deb
Size: 34432
MD5sum: 290db78b2fff90302ca607d6f1b3cbc0
SHA1: 16ed082d85f7abdcf362203e3e3dfe7181d465b1
SHA256: 9e54dc9222f1639d59ae46d66f12c1190e5edcfc139da075738d1de96a7d6d6e
SHA512: ad344735d22eefa3d15d76a1cd0abdad65da17c32cde02b15d51f2ee72f5491c1860007851e2640bb5f71c29ae0dd38320b417810201fb1ae9d38ef2cf79357d
Homepage: https://cran.r-project.org/package=pearson7
Description: CRAN Package 'pearson7' (Maximum Likelihood Inference for the Pearson VII Distributionwith Shape Parameter 3/2)
 Supports maximum likelihood inference for the Pearson VII distribution with
 shape parameter 3/2 and free location and scale parameters. This
 distribution is relevant when estimating the velocity of processive motor
 proteins with random detachment.

Package: r-cran-pearsonica
Architecture: all
Version: 1.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pearsonica_1.2-5-1.ca2004.1_all.deb
Size: 36216
MD5sum: 312cf0ec6715b3aa8692a9722a69aa0b
SHA1: c6cbbbbac87f58d943301b772ef0d5c1518aad2f
SHA256: 7ca6a33975d63a76578e644d0855a9a2f1160d3092f00215ac224ad79d52a0fb
SHA512: 164f8940d6adb3b99e1c38df9ab181f26c5e8f966b880b0d773ae346b7b9900d47f863412fb1943c2d83ad687786a0ac7cc8b98dadf7597d78c83e979fef3d52
Homepage: https://cran.r-project.org/package=PearsonICA
Description: CRAN Package 'PearsonICA' (Independent Component Analysis using Score Functions from thePearson System)
 The Pearson-ICA algorithm is a mutual information-based method for blind
 separation of statistically independent source signals. It has been shown
 that the minimization of mutual information leads to iterative use of score
 functions, i.e.  derivatives of log densities. The Pearson system allows
 adaptive modeling of score functions. The flexibility of the Pearson system
 makes it possible to model a wide range of source distributions including
 asymmetric distributions. The algorithm is designed especially for problems
 with asymmetric sources but it works for symmetric sources as well.

Package: r-cran-pedalfast.data
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1698
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-data.table, r-cran-digest, r-cran-dplyr, r-cran-ggplot2, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-lubridate, r-cran-qwraps2, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedalfast.data_1.0.2-1.ca2004.1_all.deb
Size: 618432
MD5sum: 021fca25d08054f396405fa3de96daec
SHA1: ac8f7c4ac1b01c5c4f704e5e12a746887b634ec8
SHA256: 6cc207072cc4d06246f00a8d4e56581276ae48755ce57f97dd92728d0e086fbc
SHA512: 7071f1cb342d16c5620465c901b9b3683b42b68cb577016cb27a2506516d5c03d42d206be534f0f9614baa88b01a439261e4a687186e7ec259420f4f9c470877
Homepage: https://cran.r-project.org/package=pedalfast.data
Description: CRAN Package 'pedalfast.data' (PEDALFAST Data)
 Data files and documentation for PEDiatric vALidation oF vAriableS in TBI
 (PEDALFAST).  The data was used in "Functional Status Scale in Children With
 Traumatic Brain Injury: A Prospective Cohort Study" by Bennett, Dixon, et al
 (2016) <doi:10.1097/PCC.0000000000000934>.

Package: r-cran-pedbuildr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pedtools, r-cran-forrel, r-cran-glue, r-cran-pedmut, r-cran-pedprobr, r-cran-ribd
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedbuildr_0.3.0-1.ca2004.1_all.deb
Size: 221632
MD5sum: 5b060455beade3aa61248b2db7bae55f
SHA1: 5bdfa857bba97cb04b28a854231261ff1672becc
SHA256: 251b0db3cbb04cb19a4c17d9259f121a5f877f09ac1de995c4216dc412cb9a10
SHA512: 8fa8e6d9cfca16b4175bd222ab4839d0f585a4367fdef1ab4b2ec3c6aff9d4b360e1365de18a11477b1704e60ebf3050ea8e7d307aa01bd9b35f2a77c0acdca7
Homepage: https://cran.r-project.org/package=pedbuildr
Description: CRAN Package 'pedbuildr' (Pedigree Reconstruction)
 Reconstruct pedigrees from genotype data, by optimising the likelihood over
 all possible pedigrees subject to given restrictions.  Tailor-made plots
 facilitate evaluation of the output. This package is part of the 'pedsuite'
 ecosystem for pedigree analysis. In particular, it imports 'pedprobr' for
 calculating pedigree likelihoods and 'forrel' for estimating pairwise
 relatedness.

Package: r-cran-pedfamilias
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-pedmut
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedfamilias_0.2.4-1.ca2004.1_all.deb
Size: 97648
MD5sum: cbde9a42509c3ed2b69571f81c33a8d3
SHA1: 3d1ee3f3fcee4f40d5fc181219a33fdab815ecb6
SHA256: 4ba7e5b2670b9cacebcd459b77bf6bcc59d14008d22d8b42f6fb13434c549bb0
SHA512: be939be71ffbe93972bd8877d00c9463ab16d7cf0f7ef4e3f188a87d2f9409e00299c328abb2801228739d44ab17313f4417c637a12f4760d5101730d2296cea
Homepage: https://cran.r-project.org/package=pedFamilias
Description: CRAN Package 'pedFamilias' (Import and Export 'Familias' Files)
 Tools for exchanging pedigree data between the 'pedsuite' packages and the
 'Familias' software for forensic kinship computations (Egeland et al. (2000)
 <doi:10.1016/s0379-0738(00)00147-x>). These functions were split out from
 the 'forrel' package to streamline maintenance and provide a lightweight
 alternative for packages otherwise independent of 'forrel'.

Package: r-cran-pedgene
Architecture: all
Version: 3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-compquadform, r-cran-survey, r-cran-kinship2
Filename: pool/dists/focal/main/r-cran-pedgene_3.9-1.ca2004.1_all.deb
Size: 278836
MD5sum: 41047c44ba12f4ec051c32735e6fd6bb
SHA1: 47b7675af1d4b879ed5d44397cd30aaaad27780c
SHA256: a9a6b45a66f2cf68db3210a0722de4621e254fe8fd8865bc8c2d4621c38f3165
SHA512: a1f09c182a7d6dc2930740f01e53dd6ac3e2cd9a849e7dde8b48475ad8094051bc69041e997de73153172e196983d945207428ac2d3b0bbfb79b8ee8301c84b2
Homepage: https://cran.r-project.org/package=pedgene
Description: CRAN Package 'pedgene' (Gene-Level Variant Association Tests for Pedigree Data)
 Gene-level variant association tests with disease status for pedigree data:
 kernel and burden association statistics.

Package: r-cran-pedmermaid
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 868
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pedmermaid_1.0.2-1.ca2004.1_all.deb
Size: 251676
MD5sum: 80a27b50befbffcf88b43e42e294af29
SHA1: f33714448047efeea8fb383d3df14a2675e79f6f
SHA256: 0a031d04d9ba3d63aa9aaf19d134a287477ea9c67ce74784babc7686bf668b3d
SHA512: cb102c024af2e8cd8a89401122a4630771482f1d71389d1951a8ed4d5a3d4af7b7cd6edf5de0c1ce242ccaa56532605f572059136828f8f5b92169bfc8a5dd49
Homepage: https://cran.r-project.org/package=pedMermaid
Description: CRAN Package 'pedMermaid' (Pedigree Mermaid Syntax)
 Generate Mermaid syntax for a pedigree flowchart from a pedigree data frame.
 Mermaid syntax is commonly used to generate plots, charts, diagrams, and
 flowcharts. It is a textual syntax for creating reproducible illustrations.
 This package generates Mermaid syntax from a pedigree data frame to
 visualize a pedigree flowchart. The Mermaid syntax can be embedded in a
 Markdown or R Markdown file, or viewed on Mermaid editors and renderers.
 Links' shape, style, and orientation can be customized via function
 arguments, and nodes' shapes and styles can be customized via optional
 columns in the pedigree data frame.

Package: r-cran-pedmut
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedmut_0.9.0-1.ca2004.1_all.deb
Size: 143276
MD5sum: 6694828197260004879f917eaab8b377
SHA1: b3900f06a22c93d145d2cfd22df63262c022f4af
SHA256: 4855a02aec0234e27b7a622299d8d5784c92edc2692ca1eaf793f7be72f8ac1d
SHA512: 8c7a10e8cbc65570de9d96449d97ffdc6a672f94f9647781643f603aa0143c59686645ada976419161034ecda143ea1f3c17bfbe780e42e1dbedb235be6707dc
Homepage: https://cran.r-project.org/package=pedmut
Description: CRAN Package 'pedmut' (Mutation Models for Pedigree Likelihood Computations)
 A collection of functions for modelling mutations in pedigrees with marker
 data, as used e.g. in likelihood computations with microsatellite data.
 Implemented models include equal, proportional and stepwise models, as well
 as random models for experimental work, and custom models allowing the user
 to apply any valid mutation matrix. Allele lumping is done following the
 lumpability criteria of Kemeny and Snell (1976), ISBN:0387901922.

Package: r-cran-pedprobr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pedtools, r-cran-pedmut
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedprobr_1.0.1-1.ca2004.1_all.deb
Size: 193996
MD5sum: 7f2983f4f5fc17aa0665d365eacbedfa
SHA1: 58fe67641e257060811d49713a43aeddb3b8cc34
SHA256: 6f5adc1a321d0a60a6b4d46aab92ef44f23ad7e58d4f84bb9c86a5281b53b2f3
SHA512: 60b6adcee0de6a20859e6822f27ae982fc9b9286fdfcaa16f201d151f36adfeb06e2831bb4a47689191528131775027dbc5de68c384bb48c1d6f5ef5c55fc580
Homepage: https://cran.r-project.org/package=pedprobr
Description: CRAN Package 'pedprobr' (Probability Computations on Pedigrees)
 An implementation of the Elston-Stewart algorithm for calculating pedigree
 likelihoods given genetic marker data (Elston and Stewart (1971)
 <doi:10.1159/000152448>). The standard algorithm is extended to allow inbred
 founders. 'pedprobr' is part of the 'pedsuite', a collection of packages for
 pedigree analysis in R. In particular, 'pedprobr' depends on 'pedtools' for
 pedigree manipulations and 'pedmut' for mutation modelling. For more
 information, see 'Pedigree Analysis in R' (Vigeland, 2021,
 ISBN:9780128244302).

Package: r-cran-pedquant
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ttr, r-cran-zoo, r-cran-performanceanalytics, r-cran-curl, r-cran-httr, r-cran-rvest, r-cran-lubridate, r-cran-stringi, r-cran-jsonlite, r-cran-readxl, r-cran-readr, r-cran-echarts4r, r-cran-xefun
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pedquant_0.2.4-1.ca2004.1_all.deb
Size: 739248
MD5sum: b9c2f02b320899c4f04abe5174ea4707
SHA1: 66d974d853cd498da00aae522643cf562ce15cf7
SHA256: 704495a8a0b2a3d5cab72fcc9d213ad5b81e10f5c41e592f071ccb2b3a03e761
SHA512: fbe4c65ff015ff914d3c73c4c77177df63066fe768361c36ea34cf8622ed9f4272999155b151f47fd233e427b4e37e51c15f356ec55bdf0afe0b4ac91d5e3a7d
Homepage: https://cran.r-project.org/package=pedquant
Description: CRAN Package 'pedquant' (Public Economic Data and Quantitative Analysis)
 Provides an interface to access public economic and financial data for
 economic research and quantitative analysis. The data sources including NBS,
 FRED, Sina, Eastmoney and etc. It also provides quantitative functions for
 trading strategies based on the 'data.table', 'TTR', 'PerformanceAnalytics'
 and etc packages.

Package: r-cran-pedsimulate
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pedsimulate_1.4.3-1.ca2004.1_all.deb
Size: 66532
MD5sum: 0bed7372a6869bc2f37e7557f42eb25d
SHA1: d07d412ed0bf58425fff63b48f9855d732a2ab7e
SHA256: 2607d72eb69ab3a9895b3d7af33d6cc493f7bd26b1533dabfaab2d41e580258d
SHA512: 98bf3f1f1725b66ebeaac85905069446cc88d10ff47a839e3b3578e5db9c80e66c20a1be3f33e338d690b3f2262f0e14f41d111db27752e6cb9edd74a1dd54ba
Homepage: https://cran.r-project.org/package=pedSimulate
Description: CRAN Package 'pedSimulate' (Pedigree, Genetic Merit, Phenotype, and Genotype Simulation)
 Simulate pedigree, genetic merits and phenotypes with random/non-random
 matings followed by random/non-random selection with different intensities
 and patterns in males and females. Genotypes can be simulated for a given
 pedigree, or an appended pedigree to an existing pedigree with genotypes.
 Mrode, R. A. (2005) <ISBN:9780851989969, 0851989969>; Nilforooshan, M.A.
 (2022) <doi:10.37496/rbz5120210131>.

Package: r-cran-pedsuite
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1123
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-forrel, r-cran-pedprobr, r-cran-pedtools, r-cran-ribd, r-cran-verbalisr, r-cran-pedmut, r-cran-dvir, r-cran-ibdsim2, r-cran-paramlink2, r-cran-pedbuildr, r-cran-pedfamilias, r-cran-segregatr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pedsuite_1.3.1-1.ca2004.1_all.deb
Size: 1010844
MD5sum: 6c18f977aeceeecfd58fddf46f6b8663
SHA1: 3ed120a0d0a30808a56bdc8773d5353d99b8c1bd
SHA256: fbb354f90cb8707086810b63259d1cdfd7531b9986459867b66f80fbf748f7f7
SHA512: 216dbfae3975fa77e1d83698a2687e5d14a55f386002fce946d53aa1d9cfd6a538dec164f092d502c7e0ea34d9f5256b4b76d097cf6f7393fdf297ab91387dcf
Homepage: https://cran.r-project.org/package=pedsuite
Description: CRAN Package 'pedsuite' (Easy Installation of the 'pedsuite' Packages for PedigreeAnalysis)
 The 'pedsuite' is a collection of packages for pedigree analysis, covering
 applications in forensic genetics, medical genetics and more. A detailed
 presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R'
 (Vigeland, 2021, ISBN: 9780128244302).

Package: r-cran-pedtools
Architecture: all
Version: 2.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1004
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kinship2, r-cran-pedmut
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pedtools_2.8.1-1.ca2004.1_all.deb
Size: 797564
MD5sum: e2bc68dedbd1f2060506ccd7e3d10e22
SHA1: 82f27e65a68b9191965c99163d54baf3b934c70c
SHA256: 796d6f53710e00facacfef8fd947a2b755d3f86984dc95e8ce9ab5b09c131712
SHA512: 3e032e4cfe954a35dd52357f769f678a98a2ea1c0ac0fcae97821c1de1e0a9e4ec2284642254bb8c275c2a49ba1207f747b1dfac38fcf40824f8db6b77265e50
Homepage: https://cran.r-project.org/package=pedtools
Description: CRAN Package 'pedtools' (Creating and Working with Pedigrees and Marker Data)
 A comprehensive collection of tools for creating, manipulating and
 visualising pedigrees and genetic marker data.  Pedigrees can be read from
 text files or created on the fly with built-in functions. A range of
 utilities enable modifications like adding or removing individuals, breaking
 loops, and merging pedigrees.  An online tool for creating pedigrees
 interactively, based on 'pedtools', is available at
 <https://magnusdv.shinyapps.io/quickped>.  'pedtools' is the hub of the
 'pedsuite', a collection of packages for pedigree analysis. A detailed
 presentation of the 'pedsuite' is given in the book 'Pedigree Analysis in R'
 (Vigeland, 2021, ISBN:9780128244302).

Package: r-cran-pedtricks
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-kinship2, r-cran-tidyr, r-cran-matrix, r-cran-mvtnorm, r-cran-mcmcglmm, r-cran-nadiv, r-cran-genetics, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-pedtricks_0.4.2-1.ca2004.1_all.deb
Size: 224596
MD5sum: 269d5c047c7eeceb48490195fbbbe849
SHA1: 2693e0fcce37d096a114d193bb3ce0891a0b5c7f
SHA256: 823b8dbebab1ccfe7e50b5e1e4dd2c0c486022025655f0029869f9ef4e335b02
SHA512: 434e1d53223af0dc9c2c42770b59cac2f55940b55f1ff740533861b1bcfd6fb1aabfff0b643bcb29743eaec525bc5f9449201c1298664ae4650a624e8ffb2e56
Homepage: https://cran.r-project.org/package=pedtricks
Description: CRAN Package 'pedtricks' (Visualize, Summarize and Simulate Data from Pedigrees)
 Sensitivity and power analysis, for calculating statistics describing
 pedigrees from wild populations, and for visualizing pedigrees.

Package: r-cran-peermodels
Architecture: all
Version: 0.10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-httr2, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-peermodels_0.10.3-1.ca2004.1_all.deb
Size: 46248
MD5sum: f2f3390f06712d3eb6981173383801d7
SHA1: f985a2b08e7edf873e19f00bcbd4a4bf80619696
SHA256: b29bf8e6d72039d68be49ab9a70dc63d47623b3dd0b3cb6ee0f164da476d9b1c
SHA512: 6fd32f9b6b7c2369f7d36f40e35c7efa9e9e618a6e5ab72ccf57950d4af71c0f1c86a1f0d992cc896469538fda5f5a1bc87d7b77ee002b563dc9dcf18e526d9a
Homepage: https://cran.r-project.org/package=peermodels
Description: CRAN Package 'peermodels' (Client-Side R API Wrapper for Peer Models Network ModelRepository)
 Enables direct cloud access to health care decision models hosted on the
 PRISM server of the Peer Models Network.

Package: r-cran-peerperformance
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sandwich, r-cran-lmtest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-peerperformance_2.3.1-1.ca2004.1_all.deb
Size: 211708
MD5sum: 99ae79844697e20d55510cd3831d27fa
SHA1: 0cf598fdcfd18bf2b34f2abd13067fccc72935b9
SHA256: cb5ffac2467c1df08a599a59b54d28e295ebc6f87063f42de3c091f84b116229
SHA512: f305e8ff95ff0c0d2d8fcd041131a5263eea0e917e8f2716d5386dcea3c66341cbbb8976dfcce3f013ad9b7f2056fd9677709fca43589f2d8d457baf84eccc74
Homepage: https://cran.r-project.org/package=PeerPerformance
Description: CRAN Package 'PeerPerformance' (Luck-Corrected Peer Performance Analysis in R)
 Provides functions to perform the peer performance analysis of funds'
 returns as described in Ardia and Boudt (2018)
 <doi:10.1016/j.jbankfin.2017.10.014>.

Package: r-cran-pegrouptesting
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pegrouptesting_1.0-1.ca2004.1_all.deb
Size: 26832
MD5sum: 0cb27a9a1581b1229a7fc317a823890a
SHA1: 954fb3e757be2bce6ff60e9391d725ff9a7962df
SHA256: 7a2a0d076bb39d971210cf1780be078ab32531194db72405cb62a09598be8033
SHA512: e7b3af092c3fffe74f595811fd8879b5bdbdd086fac3e2a681745405aeb82aacf1084ffb5b3bc44ddc4480a1b85a6b9581af0580b4935c6c2ff454c284c76632
Homepage: https://cran.r-project.org/package=PEGroupTesting
Description: CRAN Package 'PEGroupTesting' (Population Proportion Estimation using Group Testing)
 The population proportion using group testing can be estimated by different
 methods. Four functions including p.mle(), p.gart(), p.burrow() and
 p.order() are provided to implement four estimating methods including the
 maximum likelihood estimate, Gart's estimate, Burrow's estimate, and order
 statistic estimate.

Package: r-cran-peiman2
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4301
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-forcats, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-peiman2_1.0.1-1.ca2004.1_all.deb
Size: 3965684
MD5sum: a096734c34d13cfede253e05a042cbd3
SHA1: 7acc3784a4ba75155b20083869513e33bab058e8
SHA256: 37f3c76b8eb42e69b6e035e756ae1eaa5abebe335a5849649aa9d9e78908ce53
SHA512: 8865c3eff2b3411bf65fba7ad4102f0229dac157923a4e5873c0d8ec4c422b97d5ca9938e8d60389fcf11eae74c6c9d2a4cf47bf296ab107b4222e267492a938
Homepage: https://cran.r-project.org/package=PEIMAN2
Description: CRAN Package 'PEIMAN2' (Post-Translational Modification Enrichment, Integration, andMatching Analysis)
 Functions and mined database from 'UniProt' focusing on post-translational
 modifications to do single enrichment analysis (SEA) and protein set
 enrichment analysis (PSEA). Payman Nickchi, Uladzislau Vadadokhau, Mehdi
 Mirzaie, Marc Baumann, Amir Ata Saei, Mohieddin Jafari (2025)
 <doi:10.1002/pmic.202400238>.

Package: r-cran-peip
Architecture: all
Version: 2.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bvls, r-cran-matrix, r-cran-rseis, r-cran-pracma, r-cran-geigen, r-cran-fields
Filename: pool/dists/focal/main/r-cran-peip_2.2-5-1.ca2004.1_all.deb
Size: 172620
MD5sum: da81a979f7e96ed551bae310bda5fc64
SHA1: d5c18d49d75ddf0e4752fc0978abf69534489557
SHA256: c113727f4c70b9180d1263d944731d4064b495da8cf4f32c3dba5beb71f4b299
SHA512: 1e7e740f231ede6c0d485c1268a3a6244dfa3256ebc6f71eaecbd4fe2235e6d8c5b76ab32315590bffa736b080583791df1e6583fdcaa14f45f9e689221bfd76
Homepage: https://cran.r-project.org/package=PEIP
Description: CRAN Package 'PEIP' (Geophysical Inverse Theory and Optimization)
 Several functions introduced in Aster et al.'s book on inverse theory. The
 functions are often translations of MATLAB code developed by the authors to
 illustrate concepts of inverse theory as applied to geophysics. Generalized
 inversion, tomographic inversion algorithms (conjugate gradients, 'ART' and
 'SIRT'), non-linear least squares, first and second order Tikhonov
 regularization, roughness constraints, and procedures for estimating
 smoothing parameters are included.

Package: r-cran-pekit
Architecture: all
Version: 1.0.0.1000-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pekit_1.0.0.1000-1.ca2004.1_all.deb
Size: 63488
MD5sum: eae7348f0e8b901a98ec1728787f3645
SHA1: 1e04c481fc5d84f7dd41c67701417aa9605944b8
SHA256: 62b2b7987c17106e1fc5975a9316b2cf24f0c58adf9f17b324aac22e20246062
SHA512: 2350cc4c8a4dd216bc034a287775dfd2b191fab81c68d096ea3d6d6603f3ce353ff6877ad7e4a1b8461c6ea6ae9f959e0fb4e303d14fd1b510ef6ebf63836267
Homepage: https://cran.r-project.org/package=PEkit
Description: CRAN Package 'PEkit' (Partition Exchangeability Toolkit)
 Bayesian supervised predictive classifiers, hypothesis testing, and
 parametric estimation under Partition Exchangeability are implemented. The
 two classifiers presented are the marginal classifier (that assumes test
 data is i.i.d.) next to a more computationally costly but accurate
 simultaneous classifier (that finds a labelling for the entire test dataset
 at once based on simultanous use of all the test data to predict each
 label). We also provide the Maximum Likelihood Estimation (MLE) of the only
 underlying parameter of the partition exchangeability generative model as
 well as hypothesis testing statistics for equality of this parameter with a
 single value, alternative, or multiple samples. We present functions to
 simulate the sequences from Ewens Sampling Formula as the realisation of the
 Poisson-Dirichlet distribution and their respective probabilities.

Package: r-cran-pell
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2937
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-treemap, r-cran-visdat
Filename: pool/dists/focal/main/r-cran-pell_0.1.0-1.ca2004.1_all.deb
Size: 1199876
MD5sum: 52bf5185560200a22bba5b1fea1462c1
SHA1: ea40f68684a9ec7da4f6bc86c074e0251de8c83d
SHA256: d7481b403d39d8999c128fcd757559e4caaa62d6f3b5436a55c9c90542bed5af
SHA512: 64f46a1e0856e7c73ac806687027c4988263e52e4f2ff224c3b0f3fb2c1087cf6a7a85e529fd9b7359f9c0c9db44447a7bbb2bcd2b9f68101aafdf03a0765348
Homepage: https://cran.r-project.org/package=pell
Description: CRAN Package 'pell' (Data About Historic Pell Grant Distribution in the US)
 Historic Pell grant data as provided by the US Department of Education.
 This package contains data about how much pell grant was awarded by which
 institution in which year.  This data comes from the US Department of
 Education. Raw data can be downloaded from here:
 <https://www2.ed.gov/finaid/prof/resources/data/pell-institution.html>.

Package: r-cran-pelvis
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 647
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dt, r-cran-htmlwidgets, r-cran-mass, r-cran-shiny
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pelvis_2.0.4-1.ca2004.1_all.deb
Size: 458856
MD5sum: b2ce1e51cef5551c21ed34fd8206165e
SHA1: 85394e7d505a3b61cde00c807719ec8bf66694a1
SHA256: ba0e9330f572ba1ec5c9afa30ab535b4f6061607d71344809a0d1f0d5ee29e13
SHA512: 476f70af3a9345924d9497c73a032d93a38541a6e8c35858710998f922bdee5735e6d5992b28dc685e476da911a079081df38f4a31e160a2411fd893f9a1514d
Homepage: https://cran.r-project.org/package=PELVIS
Description: CRAN Package 'PELVIS' (Probabilistic Sex Estimate using Logistic Regression, Based onVISual Traits of the Human Os Coxae)
 An R-Shiny application implementing a method of sexing the human os coxae
 based on logistic regressions and Bruzek's nonmetric traits
 <doi:10.1002/ajpa.23855>.

Package: r-cran-pemm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pemm_1.0-1.ca2004.1_all.deb
Size: 32224
MD5sum: 1224a29419d293c67df0b4f57238bb8a
SHA1: a605dcf6f4297ccd438d361f9d11c1ee18acb701
SHA256: a73d00a07d8ebff006271bfa4618ca805d74aa325308f41be8985194ebfebebc
SHA512: 29a0fd49a83b9f5b9dbca67cabb61ed1a4b01e5570a5778f3f68c5fa51235f90fac5dca04d4f08806755dfa45163f7dfb8ab604d447718efd76566fe8b9eae78
Homepage: https://cran.r-project.org/package=PEMM
Description: CRAN Package 'PEMM' (A Penalized EM algorithm incorporating missing-data mechanism)
 This package provides functions to perform multivariate Gaussian parameter
 estimation based on data with abundance-dependent missingness. It implements
 a penalized Expectation-Maximization (EM) algorithm. The package is tailored
 for but not limited to proteomics data applications, in which a large
 proportion of the data are often missing-not-at-random with lower values (or
 absolute values) more likely to be missing.

Package: r-cran-pempi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pempi_1.0.0-1.ca2004.1_all.deb
Size: 198352
MD5sum: 743a67e8b22ae0b36ccb60d37f64e0d6
SHA1: 5049243a0277a3138087f4358a082b72991cc368
SHA256: 87993d65a83e5170f6f023e33f387fbbd6bea8aa03336df1d348d99d8843ac5f
SHA512: 8d7a770e712c4f92cf879d12720e9bfa69db218d6a43be378504131adc45db1cd49fdf3ad321cf8accb76ae63f3d415d473ed9578798adc09b0b268adef5ae69
Homepage: https://cran.r-project.org/package=pempi
Description: CRAN Package 'pempi' (Proportion Estimation with Marginal Proxy Information)
 A system contains easy-to-use tools for the conditional estimation of the
 prevalence of an emerging or rare infectious diseases using the methods
 proposed in Guerrier et al. (2023) <arXiv:2012.10745>.

Package: r-cran-pems.utils
Architecture: all
Version: 0.3.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-loa, r-cran-baseline, r-cran-ggplot2, r-cran-rlang, r-cran-tibble, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-pems.utils_0.3.0.8-1.ca2004.1_all.deb
Size: 703248
MD5sum: 7af5c38cf9e452e949da32e50d01fa2c
SHA1: da53bd5f99ac71e62322697943598606f7c986d6
SHA256: cd93b654980523ab64bfbe158c85be91ae013b9b7aa792f173c5d1ee5479a126
SHA512: 06d79d7a52a08d78d7d69a40833c86e74b5385940c21f8afcfd4a7b0a7693d96adc518fb6f512d1528c4706681407126ab6af6d787dd203d7b8795e6e09deac0
Homepage: https://cran.r-project.org/package=pems.utils
Description: CRAN Package 'pems.utils' (Portable Emissions (and Other Mobile) Measurement SystemUtilities)
 Utility functions for the handling, analysis and visualisation of data from
 portable emissions measurement systems ('PEMS') and other similar mobile
 activity monitoring devices. The package includes a dedicated 'pems' data
 class that manages many of the quality control, unit handling and data
 archiving issues that can hinder efforts to standardise 'PEMS' research.

Package: r-cran-penalizedcdf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plot.matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-penalizedcdf_0.1.0-1.ca2004.1_all.deb
Size: 40016
MD5sum: 8817f80e6fc91f431cb0c581bc82f15d
SHA1: 9e40a457789b0052e852acdb6971f16ef4e9f3ec
SHA256: a059fcbb6c377a8c998627249f980632a730941ec7e6aeb7dda5ccfa6ccdb68b
SHA512: e6be9b7dcfb35aa0bd890a7cc2cedbc884a3d2c3350fe6eda27d491d4553f4f94b173e3a9a7a4e4d95a7a8dd37232bd984e4974feaea324ec37c40782d87dd22
Homepage: https://cran.r-project.org/package=penalizedcdf
Description: CRAN Package 'penalizedcdf' (Estimate a Penalized Linear Model using the CDF Penalty Function)
 Utilize the CDF penalty function to estimate a penalized linear model.  It
 enables you to display some graphical representations and determine whether
 the Karush-Kuhn-Tucker conditions are met.  For more details about the
 theory, please refer to Cuntrera, D., Augugliaro, L., & Muggeo, V. M. (2022)
 <arXiv:2212.08582>.

Package: r-cran-penalizedclr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-penalized, r-cran-survival, r-cran-clogitl1
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-penalizedclr_2.0.0-1.ca2004.1_all.deb
Size: 107512
MD5sum: 6d60354615ca895686d61b5b61b80d8d
SHA1: 00be6140ec241e5dc6becc539c161071bb62db0f
SHA256: 0d4ad111bacd88029f0f41de1ba28ee881bfd98f6f2f7f40f09442a0329bf401
SHA512: 9e9185e80efe6e6b023702f897a0b449496e573f8fe272b472e971e438aaa9ee8ad5013c335f7be78c2769cecc5ccc980cb4bb1d74e21eaec39c251c6011ceb9
Homepage: https://cran.r-project.org/package=penalizedclr
Description: CRAN Package 'penalizedclr' (Integrative Penalized Conditional Logistic Regression)
 Implements L1 and L2 penalized conditional logistic regression with penalty
 factors allowing for integration of multiple data sources. Implements
 stability selection for variable selection.

Package: r-cran-penalizedlda
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flsa
Filename: pool/dists/focal/main/r-cran-penalizedlda_1.1-1.ca2004.1_all.deb
Size: 67212
MD5sum: b6e9090719b9dbfac5eb985949bdd3f6
SHA1: 1f621c97aa8d548b34939a3e8321660afc53643e
SHA256: e25c6ef7824bcab8ed9007cbc473181b387d635526bd87dbbe21d865137add9d
SHA512: 5dc42eb1e4c9167e0527f48b4ac278359af39a97d56dee8951a7c787283b8d7e20effc4454d0c1bbd978f5c2129d250064f577b9911212eba177b7e05347e30e
Homepage: https://cran.r-project.org/package=penalizedLDA
Description: CRAN Package 'penalizedLDA' (Penalized Classification using Fisher's Linear Discriminant)
 Implements the penalized LDA proposal of "Witten and Tibshirani (2011),
 Penalized classification using Fisher's linear discriminant, to appear in
 Journal of the Royal Statistical Society, Series B".

Package: r-cran-penalizedsvm
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-e1071, r-cran-mlegp, r-cran-mass, r-cran-corpcor, r-cran-statmod, r-cran-tgp
Filename: pool/dists/focal/main/r-cran-penalizedsvm_1.1.4-1.ca2004.1_all.deb
Size: 210768
MD5sum: 77cbc569bc0b8a8d9b5472e5e71d3592
SHA1: ba139575e753ddaae6abfd029eba01c68c3c3e4e
SHA256: da9b6a29cb8b52486ce7a5ae6af56918c6a91030e63c6b320297a221bd05508d
SHA512: 35a2bd6903eac6313ff96d015733059a02a05ec1359f6df89157ff3af899cbf85c5b30118d4418d9a9949ce40de84fc5c6b261bf2e4d4cf971de34d7cb1b073d
Homepage: https://cran.r-project.org/package=penalizedSVM
Description: CRAN Package 'penalizedSVM' (Feature Selection SVM using Penalty Functions)
 Support Vector Machine (SVM) classification with simultaneous feature
 selection using penalty functions is implemented. The smoothly clipped
 absolute deviation (SCAD), 'L1-norm', 'Elastic Net' ('L1-norm' and
 'L2-norm') and 'Elastic SCAD' (SCAD and 'L2-norm') penalties are available.
 The tuning parameters can be found using either a fixed grid or a interval
 search.

Package: r-cran-pencal
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1627
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-glmnet, r-cran-lcmm, r-cran-magic, r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-purrr, r-cran-riskregression, r-bioc-survcomp, r-cran-survival, r-cran-survivalroc
Suggests: r-cran-knitr, r-cran-ptmixed, r-cran-rmarkdown, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-pencal_2.3.0-1.ca2004.1_all.deb
Size: 1591564
MD5sum: ede6f3134640b158e8a38ddb4e75141b
SHA1: 79efa48be56f48f5ce76cf8c6a7d895202d14874
SHA256: ad84fdb58a0aa0ac1720019003515f9bac1f51deee18120859f521953874db67
SHA512: 297e70ee38410871887c38811a090ad4fdae86bfbfaef24740ce35321bab633beb687a402d690f3e4f12c8198e4869aab1e6d9822f332d4a743f90db1cba172d
Homepage: https://cran.r-project.org/package=pencal
Description: CRAN Package 'pencal' (Penalized Regression Calibration (PRC) for the DynamicPrediction of Survival)
 Computes penalized regression calibration (PRC), a statistical method for
 the dynamic prediction of survival when many longitudinal predictors are
 available. See Signorelli (2024) <doi:10.32614/RJ-2024-014> and Signorelli
 et al. (2021) <doi:10.1002/sim.9178> for details.

Package: r-cran-pencopulacond
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-fda, r-cran-latticeextra, r-cran-pacotest, r-cran-quadprog, r-cran-doparallel, r-cran-foreach, r-cran-tsp, r-cran-igraph
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-pencopulacond_0.2-1.ca2004.1_all.deb
Size: 264316
MD5sum: 77772f5810a18f2edb74199ce21a016d
SHA1: 057dc26d083dae87d98d0a9addb9bd7789bc89be
SHA256: 4ceb3265625bc469532deb4841dde3b419da09004848d77089c4c27b69fb90d4
SHA512: bdb99a61ed0427357cd37bddefcaa489de18fda92dfabe44727ec3b1da6c4beda10af7aa5c82787c6d3cf1c8a19ddb538581a174242d51840b1b2e4499a3cf1e
Homepage: https://cran.r-project.org/package=pencopulaCond
Description: CRAN Package 'pencopulaCond' (Estimating Non-Simplified Vine Copulas Using Penalized Splines)
 Estimating Non-Simplified Vine Copulas Using Penalized Splines.

Package: r-cran-pendensity
Architecture: all
Version: 0.2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-fda
Filename: pool/dists/focal/main/r-cran-pendensity_0.2.13-1.ca2004.1_all.deb
Size: 455480
MD5sum: 0d379f40672a6097936fc4694a70b67e
SHA1: 94f21935d07a87a10c734c05d44eebf06c139d62
SHA256: 94c3a8fac2ffcb720eb73bdaf09296dfcc593a6c5762d410a53f4d14ce2089cd
SHA512: 1d6a6deb6ef041810b728fa8b3436b63532b7bbec34c852514dd99cb9b583b73682731a6ccf3d6ea2aad30cd342d106b672a9c456b8808a2d2ba2a6f26317133
Homepage: https://cran.r-project.org/package=pendensity
Description: CRAN Package 'pendensity' (Density Estimation with a Penalized Mixture Approach)
 Estimation of univariate (conditional) densities using penalized B-splines
 with automatic selection of optimal smoothing parameter.

Package: r-cran-pendvine
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-tsp, r-cran-fda, r-cran-matrix, r-cran-foreach, r-cran-quadprog, r-cran-latticeextra, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-pendvine_0.2.4-1.ca2004.1_all.deb
Size: 260276
MD5sum: 3a600b32632e04a10761197d976b1a73
SHA1: 540c1f27ca7e3251bd36d48c9e486d58c233d48f
SHA256: 393e9a8530b0f488be0ae93830af4d3fbd01e5dd59b4cf5a6725cf1f7f79fc2d
SHA512: 6ac4dd132fe78bcf840924047446026577b3935dfccf2489aae11ab1b932d7e47a92de46cacbf2465da8e522856023dfd6a10131bc45835f4bdba8fc72ca2b0d
Homepage: https://cran.r-project.org/package=penDvine
Description: CRAN Package 'penDvine' (Flexible Pair-Copula Estimation in D-Vines using BivariatePenalized Splines)
 Flexible Pair-Copula Estimation in D-vines using Bivariate Penalized
 Splines.

Package: r-cran-penetrance
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1642
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipp, r-cran-mass, r-cran-kinship2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-ggplot2, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-penetrance_0.1.1-1.ca2004.1_all.deb
Size: 1496704
MD5sum: e67ac884c85e032467c3f558197af149
SHA1: 6b8d83bbc6bf388ecb73cedd8777f9ff75c33b26
SHA256: 1c5778e5ecff1106859d0886fa5e0c16a493f7b0b847a972a7ad8422bdf294c5
SHA512: 36e139180fa871acc87dbc9c5b077f64245c7e4676143958b6bc54f4d16bb2c2a9d60bb3ac972ee20bcd436557038ecaa71fc59655d8b0efd426a0edb25d3cb7
Homepage: https://cran.r-project.org/package=penetrance
Description: CRAN Package 'penetrance' (Methods for Penetrance Estimation in Family-Based Studies)
 Implements statistical methods for estimating disease penetrance in
 family-based studies. Penetrance refers to the probability of disease§
 manifestation in individuals carrying specific genetic variants. The package
 provides tools for age-specific penetrance estimation, handling missing
 data, and accounting for ascertainment bias in family studies.  Cite as:
 Kubista, N., Braun, D. & Parmigiani, G. (2024)
 <doi:10.48550/arXiv.2411.18816>.

Package: r-cran-penfa
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mgcv, r-cran-gjrm, r-cran-trust
Suggests: r-cran-cartography, r-cran-knitr, r-cran-plotly, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-penfa_0.1.1-1.ca2004.1_all.deb
Size: 518928
MD5sum: 9ff219eaa2612ae6876b664d22521f7d
SHA1: 9fbed7c71e1235c694b7b7964b80e08c03664b2c
SHA256: 21e192f9381d2825a5a4011ed895c4f88f06fe75df721d31a283d34fc20028bd
SHA512: 34b455b1026ab3fffea6e4259d3ab7a886cbb3faf6585ffd6ee01a58ef5d4f01ece29f3c2cd2f6027eb72dd646bcd7171eb73addd80dab874f15bded68ef1bf1
Homepage: https://cran.r-project.org/package=penfa
Description: CRAN Package 'penfa' (Single- And Multiple-Group Penalized Factor Analysis)
 Fits single- and multiple-group penalized factor analysis models via a
 trust-region algorithm with integrated automatic multiple tuning parameter
 selection (Geminiani et al., 2021 <doi:10.1007/s11336-021-09751-8>).
 Available penalties include lasso, adaptive lasso, scad, mcp, and ridge.

Package: r-cran-penic
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-penic_1.0.0-1.ca2004.1_all.deb
Size: 33844
MD5sum: c53bbfce52fcd00d400b7c2004e9af7c
SHA1: b384c15d5b7a6ac3076ca092024e31e24709c522
SHA256: 559459e65105e7539bbea3ffde5230bbc5b61f2375b426b7e9cfbceb7ebb0fd8
SHA512: 073103d2b170a9af55e26952e0336eb28d5aa78798b037f97d9ef073a5c42850df9f0679ede41348a9886182ac59967062534d5546030ebca2a5802ae34bb6c6
Homepage: https://cran.r-project.org/package=PenIC
Description: CRAN Package 'PenIC' (Semiparametric Regression Analysis of Interval-Censored Datausing Penalized Splines)
 Currently incorporate the generalized odds-rate model (a type of linear
 transformation model) for interval-censored data based on penalized
 monotonic B-Spline.  More methods under other semiparametric models such as
 cure model or additive model will be included in future versions. For more
 details see Lu, M., Liu, Y., Li, C. and Sun, J.  (2019) <arXiv:1912.11703>.

Package: r-cran-pensim
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2876
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-penalized, r-cran-mass
Suggests: r-cran-survivalroc, r-cran-survival, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pensim_1.3.6-1.ca2004.1_all.deb
Size: 2410288
MD5sum: 188f7ba9a4cfb14e26d4012c1dcecfe3
SHA1: 8da51a99f194d31f792922e2ea62d7998ff2bb3d
SHA256: 6a027506c1c94f4257edaf9f6016f342e703f753d64a7331d3d6e5352af732be
SHA512: 96df1a7d5c44512d7356a605ca87b7f9e44a04fb7881939457f5e8892e70814ace9eaaa0a3da6fef75f42b31a8a71e5213642ef18bb213e97f97da735bc906fd
Homepage: https://cran.r-project.org/package=pensim
Description: CRAN Package 'pensim' (Simulation of High-Dimensional Data and Parallelized RepeatedPenalized Regression)
 Simulation of continuous, correlated high-dimensional data with time to
 event or binary response, and parallelized functions for Lasso, Ridge, and
 Elastic Net penalized regression with repeated starts and two-dimensional
 tuning of the Elastic Net.

Package: r-cran-pensynth
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clarabel, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pensynth_0.5.1-1.ca2004.1_all.deb
Size: 57392
MD5sum: fa59a9decf28c43cd2a4821aa1f94d31
SHA1: 96415d5b34423181af1d678b752fb490ee4bf3a8
SHA256: def8727f11372a2b81a8eae7c682e8a0548a4b07c1512ccb42739fc96b74b110
SHA512: e4f16273d7ad6b1472c39dbeba14373d0fa24404198366f24165032193439bb714120da1050708c9bbece6ec06b504b47a07505e377e9488a5e2b43140a1af10
Homepage: https://cran.r-project.org/package=pensynth
Description: CRAN Package 'pensynth' (Penalized Synthetic Control Estimation)
 Estimate penalized synthetic control models and perform hold-out validation
 to determine their penalty parameter. This method is based on the work by
 Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>.  Penalized
 synthetic controls smoothly interpolate between one-to-one matching and the
 synthetic control method.

Package: r-cran-peopleanalytics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-peopleanalytics_0.1.0-1.ca2004.1_all.deb
Size: 121332
MD5sum: 9edf6f330dfeb1dc963c75a28f814a85
SHA1: 5eb7bfedff002fe67e1c2721e28e708165e9ecf0
SHA256: dc3de875899ecad24a9910cb9b7a31dd332098f558523971aa5c6416742af526
SHA512: ff4095678ab9ae6a6ad6ad78f684402805aa9bc2e19a51f78be182d8332d9b031ba6463144d1184f47dc5194d7aed76d13b1683805e054a7b5c46a6b863d7082
Homepage: https://cran.r-project.org/package=peopleanalytics
Description: CRAN Package 'peopleanalytics' (Data Sets for Craig Starbuck's Book, "The Fundamentals of PeopleAnalytics: With Applications in R")
 Data sets associated with modeling examples in Craig Starbuck's book, "The
 Fundamentals of People Analytics: With Applications in R".

Package: r-cran-peopleanalyticsdata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-peopleanalyticsdata_0.2.1-1.ca2004.1_all.deb
Size: 185188
MD5sum: a781c42ea06274a1d9063e7c821a147b
SHA1: d65cae51fb5840b896423a43991c10336cb5221d
SHA256: 6a325798d7a1ebcc2f0ff09c960695bbee2ee0c896195219691891ede7ac7daf
SHA512: 8d6aa994b96541c1f0b46374df47d2c3618efd3e7f57ac6ff3d8f3c00b2aeeccb613cd9371bb400d8fd607fa271f2a5d6bc168e11385b5617045955c68367dc4
Homepage: https://cran.r-project.org/package=peopleanalyticsdata
Description: CRAN Package 'peopleanalyticsdata' (Data Sets for Keith McNulty's Handbook of Regression Modeling inPeople Analytics)
 Data sets for statistical inference modeling related to People Analytics.
 Contains various data sets from the book 'Handbook of Regression Modeling in
 People Analytics' by Keith McNulty (2020).

Package: r-cran-pepa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3201
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pepa_1.0-1.ca2004.1_all.deb
Size: 3227660
MD5sum: 30ec3b6079894b14d8367806ed4ccb6a
SHA1: bdf6ed54fe3dcaf18e5679d980955d4e62cb3107
SHA256: acf0d99f5da0353424bb1b522e08e733898631f0447227c7cc6b3847bae4e9cc
SHA512: 571f7d72f978a79dbcffa58790156f1bb34e137e0816b46a6330ee182233fbef5ac696d59074602df894630a177aee53d048b43157e00d6abf110f951f90dec2
Homepage: https://cran.r-project.org/package=pEPA
Description: CRAN Package 'pEPA' (Tests of Equal Predictive Accuracy for Panels of Forecasts)
 Allows to perform the tests of equal predictive accuracy for panels of
 forecasts. Main references: Qu et al. (2024)
 <doi:10.1016/j.ijforecast.2023.08.001> and Akgun et al. (2024)
 <doi:10.1016/j.ijforecast.2023.02.001>.

Package: r-cran-pepe
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1100
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-psych, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pepe_1.2.0-1.ca2004.1_all.deb
Size: 928560
MD5sum: 4b5c0818c1c794bbe5d56831fb36a37b
SHA1: 62983bc45eb2cc1a5b0da3eeaf12727ec6949887
SHA256: 088b1c5817875b2cefc712da835f63abe21d9eaef7036fb880b77e764b9dad80
SHA512: 04cb2dc7f7bf4d70c6fd03f0d5ae6bc2a7c643d5f84f7ab0cdd85145f1be9ec968666e9a30dca7fc6f738c0157344fdfa0d6b866c761b2d16911a067b7214f1c
Homepage: https://cran.r-project.org/package=pepe
Description: CRAN Package 'pepe' (Data Manipulation)
 Is designed to make easier printing summary statistics (for continues and
 factor level) tables in Latex, and plotting by factor.

Package: r-cran-pepmapviz
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4450
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-stringr, r-cran-ggforce, r-cran-ggh4x, r-cran-ggnewscale, r-cran-data.table, r-cran-rlang, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-mzid, r-bioc-msnbase
Filename: pool/dists/focal/main/r-cran-pepmapviz_1.1.0-1.ca2004.1_all.deb
Size: 449768
MD5sum: f2a27421ec81e9ecb009b059bc1db2a9
SHA1: 6ba2955beb7b96b636907ca4f8cec1b2ead34973
SHA256: b314a32e7eead8ee05b12f45ae5b8e110e8a376dbd30f35287a1aab99c85c9b9
SHA512: 9a46f736f1806051d4802431e961273871a758a4911370ee5f388caea7aa0042cc040ee2cfb1fc64e2a53cdf7227310811e9ed5de256db7f8b157817f185aaea
Homepage: https://cran.r-project.org/package=PepMapViz
Description: CRAN Package 'PepMapViz' (A Versatile Toolkit for Peptide Mapping, Visualization, andComparative Exploration)
 A versatile R visualization package that empowers researchers with
 comprehensive visualization tools for seamlessly mapping peptides to protein
 sequences, identifying distinct domains and regions of interest,
 accentuating mutations, and highlighting post-translational modifications,
 all while enabling comparisons across diverse experimental conditions.
 Potential applications of 'PepMapViz' include the visualization of
 cross-software mass spectrometry results at the peptide level for specific
 protein and domain details in a linearized format and post-translational
 modification coverage across different experimental conditions; unraveling
 insights into disease mechanisms. It also enables visualization of Major
 histocompatibility complex-presented peptide clusters in different antibody
 regions predicting immunogenicity in antibody drug development.

Package: r-cran-pepr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yaml, r-cran-stringr, r-cran-pryr, r-cran-data.table, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-pepr_0.5.0-1.ca2004.1_all.deb
Size: 266692
MD5sum: 81633e701dcdfb20b9cbf64836c1fe7e
SHA1: ee60b73f222838c3cba823098c50205b3a9fd5ef
SHA256: 17b639e4342b5065b73f385903fee039a24648a7a270453a89829486e99a23e0
SHA512: 4cf33fa46811e5c1d15bd09a88b25324d7cd0eb26c3624c13e2f4649cd28fcef12c68d84bada5b2740a9325a6b9adca49f3356286de3dd1a137ab8c92a6a2954
Homepage: https://cran.r-project.org/package=pepr
Description: CRAN Package 'pepr' (Reading Portable Encapsulated Projects)
 A PEP, or Portable Encapsulated Project, is a dataset that subscribes to the
 PEP structure for organizing metadata. It is written using a simple YAML +
 CSV format, it is your one-stop solution to metadata management across data
 analysis environments. This package reads this standardized project
 configuration structure into R.  Described in Sheffield et al. (2021)
 <doi:10.1093/gigascience/giab077>.

Package: r-cran-pepsavims
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3472
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-elasticnet
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pepsavims_0.9.1-1.ca2004.1_all.deb
Size: 3411292
MD5sum: d21a06138c0de01262e3b143157aedd5
SHA1: 98046d6f466f5337bf2fcee417f93cd95d168f92
SHA256: cc96920336424c15883f9cefa95dfde318a712281992e6c876fd219c5cc218f7
SHA512: 8d5e4eaed9e86eeb0b654bf85a293256780251bf6e980456fcd5548262ce3e5bb27f2025d1c9e396efeb43b453af0b9029c40bb04e1d3190ff939dd51ad02225
Homepage: https://cran.r-project.org/package=PepSAVIms
Description: CRAN Package 'PepSAVIms' (PepSAVI-MS Data Analysis)
 An implementation of the data processing and data analysis portion of a
 pipeline named the PepSAVI-MS which is currently under development by the
 Hicks laboratory at the University of North Carolina.  The statistical
 analysis package presented herein provides a collection of software tools
 used to facilitate the prioritization of putative bioactive peptides from a
 complex biological matrix.  Tools are provided to deconvolute mass
 spectrometry features into a single representation for each peptide charge
 state, filter compounds to include only those possibly contributing to the
 observed bioactivity, and prioritize these remaining compounds for those
 most likely contributing to each bioactivity data set.

Package: r-cran-peptider
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-discreterv, r-cran-plyr, r-cran-dplyr
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-peptider_0.2.2-1.ca2004.1_all.deb
Size: 81220
MD5sum: aee61555e2e5db0e6e74b958a0a28481
SHA1: a410c2b6380fa1a849e870ec58f9ce0c57562c5a
SHA256: 25a8fb63e897381b8a34f6e1d9881d36e257d6e6e4280b7347c1d796979dd78b
SHA512: 5b6d1681c8e0edb45e98e7c6b8c1c749bca5d083930bdcd41b5b6bd144a63f21b3b79a5131ead226082af8cb2768ae72c8f6e16d103dce560a3a4c32cec52193
Homepage: https://cran.r-project.org/package=peptider
Description: CRAN Package 'peptider' (Evaluation of Diversity in Nucleotide Libraries)
 Evaluation of diversity in peptide libraries, including NNN, NNB, NNK/S, and
 20/20 schemes. Custom encoding schemes can also be defined.  Metrics for
 evaluation include expected coverage, relative efficiency, and the
 functional diversity of the library. Peptide-level inclusion probabilities
 are computable for both the native and custom encoding schemes.

Package: r-cran-peptoolkit
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-peptides, r-cran-dplyr, r-cran-stringr, r-cran-caret
Filename: pool/dists/focal/main/r-cran-peptoolkit_0.0.1-1.ca2004.1_all.deb
Size: 40588
MD5sum: abbb595a2dbdcb207b7d2e10344bfcb0
SHA1: ce288d8fb8fd945166dec776fa7b826cbf697e29
SHA256: 15006532d1c6b1151d9a87d1e6ff98b5809159b2d709537f29c7609fa861dbd3
SHA512: ae75389da34ee1015c015749c69ebf5ef05fcfde4509ae3cf08f71817a7c32c78b23a519d69e0dd192550d1c6d668a98764a312f0ce308f792ede01a53a2340f
Homepage: https://cran.r-project.org/package=peptoolkit
Description: CRAN Package 'peptoolkit' (A Toolkit for Using Peptide Sequences in Machine Learning)
 This toolkit is designed for manipulation and analysis of peptides. It
 provides functionalities to assist researchers in peptide engineering and
 proteomics. Users can manipulate peptides by adding amino acids at every
 position, count occurrences of each amino acid at each position, and
 transform amino acid counts based on probabilities. The package offers
 functionalities to select the best versus the worst peptides and analyze
 these peptides, which includes counting specific residues, reducing peptide
 sequences, extracting features through One Hot Encoding (OHE), and utilizing
 Quantitative Structure-Activity Relationship (QSAR) properties (based in the
 package 'Peptides' by Osorio et al. (2015) <doi:10.32614/RJ-2015-001>). This
 package is intended for both researchers and bioinformatics enthusiasts
 working on peptide-based projects, especially for their use with machine
 learning.

Package: r-cran-pequod
Architecture: all
Version: 0.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-car
Filename: pool/dists/focal/main/r-cran-pequod_0.0-5-1.ca2004.1_all.deb
Size: 74320
MD5sum: aee0c2f387a1a672b0f51111fa8ec719
SHA1: 5972c5050a32ae966415e63507ebb57c04aa97d0
SHA256: 489beac078be0be40e786f14a2914e0c21d59b4e0ad093980945cab4f7b75566
SHA512: 6e02971d59e8e33b10fab5dbd97d65e4b38a9a73a0ddfa3ced41a66603350235724d9a990e56f73c0941546a785f378ac2900a9e58188a559934cd51c72ce479
Homepage: https://cran.r-project.org/package=pequod
Description: CRAN Package 'pequod' (Moderated Regression Package)
 Moderated regression with mean and residual centering and simple slopes
 analysis.

Package: r-cran-peramo
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-lme4, r-cran-parameters, r-cran-emmeans
Suggests: r-cran-multcompview
Filename: pool/dists/focal/main/r-cran-peramo_0.1.3-1.ca2004.1_all.deb
Size: 147380
MD5sum: 725455e23b1d10916b1984c75a3e0d0c
SHA1: 183f01c36a395d9ad7964ce5f2a41ea243eb29b8
SHA256: db7e5a2ed1f34cacce4211483662f711530297451918df710bcf925beb436e23
SHA512: 452b479a26b3687842b0134751b90ed5a79b45c4b185893b9f6f42bab686b912b4c6ecdbba7f9cbda143db981854f729be2cd3c82c2623a96617810eb6fe4f0d
Homepage: https://cran.r-project.org/package=peramo
Description: CRAN Package 'peramo' (Permutation Tests for Randomization Model)
 Perform permutation-based hypothesis testing for randomized experiments as
 suggested in Ludbrook & Dudley (1998) <doi:10.2307/2685470> and Ernst (2004)
 <doi:10.1214/088342304000000396>, introduced in Pham et al.  (2022)
 <doi:10.1016/j.chemosphere.2022.136736>.

Package: r-cran-perarma
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-corpcor, r-cran-gnm, r-cran-matlab, r-cran-matrix, r-cran-signal
Filename: pool/dists/focal/main/r-cran-perarma_1.7-1.ca2004.1_all.deb
Size: 276612
MD5sum: fa9acd37f70322db1ba7a5c80f2b6156
SHA1: d0ea28c96652c708a97567ca4c041ddcc7a23e45
SHA256: a5e4a51d1d5d5c91142295fa9083c2d7d73fc83eb97b5b27927c9439ea3c95f1
SHA512: 895d90f00b13db0081a4f4656ec8e4a241bd19524b67544876ae49e0991f65253e5245c602d8944271deb77442e4aaf1807c729146fba8726e23b07015f93baf
Homepage: https://cran.r-project.org/package=perARMA
Description: CRAN Package 'perARMA' (Periodic Time Series Analysis)
 Identification, model fitting and estimation for time series with periodic
 structure.  Additionally, procedures for simulation of periodic processes
 and real data sets are included.  Hurd, H. L., Miamee, A. G. (2007)
 <doi:10.1002/9780470182833> Box, G. E. P., Jenkins, G. M., Reinsel, G.
 (1994) <doi:10.1111/jtsa.12194> Brockwell, P. J., Davis, R. A. (1991,
 ISBN:978-1-4419-0319-8) Bretz, F., Hothorn, T., Westfall, P. (2010, ISBN:
 9780429139543) Westfall, P. H., Young, S. S. (1993, ISBN:978-0-471-55761-6)
 Bloomfield, P., Hurd, H. L.,Lund, R. (1994)
 <doi:10.1111/j.1467-9892.1994.tb00181.x> Dehay, D., Hurd, H. L. (1994,
 ISBN:0-7803-1023-3) Vecchia, A. (1985) <doi:10.1080/00401706.1985.10488076>
 Vecchia, A. (1985) <doi:10.1111/j.1752-1688.1985.tb00167.x> Jones, R.,
 Brelsford, W. (1967) <doi:10.1093/biomet/54.3-4.403> Makagon, A. (1999)
 <https://www.math.uni.wroc.pl/~pms/files/19.2/Article/19.2.5.pdf> Sakai, H.
 (1989) <doi:10.1111/j.1467-9892.1991.tb00069.x> Gladyshev, E. G. (1961)
 <https://www.mathnet.ru/php/archive.phtml?wshow=paper&jrnid=dan&paperid=24851>
 Ansley (1979) <doi:10.1093/biomet/66.1.59> Hurd, H. L., Gerr, N. L. (1991)
 <doi:10.1111/j.1467-9892.1991.tb00088.x>.

Package: r-cran-perc
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-reshape2, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-perc_0.1.6-1.ca2004.1_all.deb
Size: 130440
MD5sum: fd6d2acba015c086aee5c79d98231146
SHA1: 821e323d138918942f0753602f2fc15659033fab
SHA256: b555cbe9d7da15fb1afc589e2a0ff1bb09a82b1cb83a0a0fc5775b2ddca8413c
SHA512: 0ed282706fdbdbc02bf38fffaf68453910a18f76bc935280a3e5323364c91ca963aac97403f7ed6e6b478de77fe0a933a6eeaa5e6226319e28b592384b4b3b41
Homepage: https://cran.r-project.org/package=Perc
Description: CRAN Package 'Perc' (Using Percolation and Conductance to Find Information FlowCertainty in a Direct Network)
 To find the certainty of dominance interactions with indirect interactions
 being considered.

Package: r-cran-perccalc
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 839
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-multcomp
Suggests: r-cran-magrittr, r-cran-spelling, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-mass, r-cran-cardata, r-cran-tidyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-perccalc_1.0.5-1.ca2004.1_all.deb
Size: 575416
MD5sum: e13d0e946df0e3b6b3b795bef93739a8
SHA1: 626e1e417c97d29269e6a54900a86a8a555067ed
SHA256: 49de4628acd9ea56b503f90fa66fea02ae5d4e360d1562ceffbc8013640d504b
SHA512: 639499f384a17115368b2c62843717d93c94b6e86b572a9e0ccf2d9610c09a2af10e824222605485fefb804c02dc4fe484bbb20388af74c3c67bc18ea4b09beb
Homepage: https://cran.r-project.org/package=perccalc
Description: CRAN Package 'perccalc' (Estimate Percentiles from an Ordered Categorical Variable)
 An implementation of two functions that estimate values for percentiles from
 an ordered categorical variable as described by Reardon (2011,
 isbn:978-0-87154-372-1). One function estimates percentile differences from
 two percentiles while the other returns the values for every percentile from
 1 to 100.

Package: r-cran-percentiles
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-assertive.types, r-cran-assertthat, r-cran-r6
Filename: pool/dists/focal/main/r-cran-percentiles_0.2.2-1.ca2004.1_all.deb
Size: 58972
MD5sum: 65e31173fd4a8098e7cbf32ec6fee2fb
SHA1: cc57ea41fbac0a796794b779cd2e2a5f29a4ae0b
SHA256: fd3230545f46d4d31e8369ca0c9689b87c992ef12b7af2fe93a23cc6af3c54eb
SHA512: 9fc186d1a6df9c5429531102adddfac0dc2f1012d9bbb40fbad4e50777ecc3d6e2481825a91beb293e3338fcaaa7a70c1fe1144f111604f9bc3b6b1b740ceac5
Homepage: https://cran.r-project.org/package=percentiles
Description: CRAN Package 'percentiles' (Calculate (Stratified) Percentiles)
 Calculate (stratified) percentiles on a data.frame Stratification will split
 the data.frame into subgroups and calculate percentiles for each
 independently.

Package: r-cran-perfit
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ltm, r-cran-mirt, r-cran-fda, r-cran-hmisc, r-cran-irtoys, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-perfit_1.4.7-1.ca2004.1_all.deb
Size: 291908
MD5sum: bd3d852e879d9585718dae93bb5d39c0
SHA1: d0f409bcf0d9bf51fe302cbf1eb1194dd803191c
SHA256: 9690372008f874b3cb4c31cbf2f65394ff400d904f3f46750866dd8f1644606e
SHA512: 8d465505d8c1680a011d5384504df0d63f67a1fa87e0694b97536f8489e0e6af38422e36da34c07d9e589eac62b2732aced2855045d92c044a5eb5e6af384a94
Homepage: https://cran.r-project.org/package=PerFit
Description: CRAN Package 'PerFit' (Person Fit)
 Several person-fit statistics (PFSs; Meijer and Sijtsma, 2001,
 <doi:10.1177/01466210122031957>) are offered. These statistics allow
 assessing whether individual response patterns to tests or questionnaires
 are (im)plausible given the other respondents in the sample or given a
 specified item response theory model. Some PFSs apply to dichotomous data,
 such as the likelihood-based PFSs (lz, lz*) and the group-based PFSs
 (personal biserial correlation, caution index, (normed) number of Guttman
 errors, agreement/disagreement/dependability statistics, U3, ZU3, NCI, Ht).
 PFSs suitable to polytomous data include extensions of lz, U3, and (normed)
 number of Guttman errors.

Package: r-cran-performance
Architecture: all
Version: 0.14.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3776
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-insight, r-cran-datawizard
Suggests: r-cran-aer, r-cran-afex, r-cran-bayesfactor, r-cran-bayesplot, r-cran-betareg, r-cran-bigutilsr, r-cran-blavaan, r-cran-boot, r-cran-brms, r-cran-car, r-cran-cardata, r-cran-compquadform, r-cran-correlation, r-cran-cplm, r-cran-curl, r-cran-dagitty, r-cran-dbscan, r-cran-dharma, r-cran-estimatr, r-cran-fixest, r-cran-flextable, r-cran-forecast, r-cran-ftextra, r-cran-gamm4, r-cran-ggdag, r-cran-glmmtmb, r-cran-hmisc, r-cran-httr2, r-cran-ics, r-cran-icsoutlier, r-cran-islr, r-cran-ivreg, r-cran-lavaan, r-cran-lme4, r-cran-lmtest, r-cran-loo, r-cran-mass, r-cran-matrix, r-cran-mclogit, r-cran-mclust, r-cran-metadat, r-cran-metafor, r-cran-mgcv, r-cran-mlogit, r-cran-modelbased, r-cran-multimode, r-cran-nestedlogit, r-cran-nlme, r-cran-nnet, r-cran-nonnest2, r-cran-ordinal, r-cran-parameters, r-cran-patchwork, r-cran-pscl, r-cran-psych, r-cran-quantreg, r-cran-qqplotr, r-cran-randomforest, r-cran-rcppeigen, r-cran-reformulas, r-cran-rempsyc, r-cran-rmarkdown, r-cran-rstanarm, r-cran-rstantools, r-cran-sandwich, r-cran-see, r-cran-survey, r-cran-survival, r-cran-testthat, r-cran-tweedie, r-cran-vgam, r-cran-withr
Filename: pool/dists/focal/main/r-cran-performance_0.14.0-1.ca2004.1_all.deb
Size: 3152908
MD5sum: cf9cba1e6a647f9a4ebbbe0bb3b6895f
SHA1: dbf0cf648264c63337f99b319253e58678de67b7
SHA256: 148cd81127677503001031e5242e5702d32c628a32b92254544590badc53f435
SHA512: da2fc348f8cf06057f09bab3e8c6c5e326538939343210182ee2b8d490a4cabe4517e3835c3e6cc88c29e6d4cb00015a60380f5a1e384abc0e090a61a6f5577a
Homepage: https://cran.r-project.org/package=performance
Description: CRAN Package 'performance' (Assessment of Regression Models Performance)
 Utilities for computing measures to assess model quality, which are not
 directly provided by R's 'base' or 'stats' packages.  These include e.g.
 measures like r-squared, intraclass correlation coefficient (Nakagawa,
 Johnson & Schielzeth (2017) <doi:10.1098/rsif.2017.0213>), root mean squared
 error or functions to check models for overdispersion, singularity or
 zero-inflation and more. Functions apply to a large variety of regression
 models, including generalized linear models, mixed effects models and
 Bayesian models. References: Lüdecke et al. (2021)
 <doi:10.21105/joss.03139>.

Package: r-cran-performanceestimation
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1878
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-parallelmap, r-cran-tidyr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-e1071, r-cran-randomforest, r-cran-quantmod, r-cran-nnet, r-cran-mlbench, r-cran-mass
Filename: pool/dists/focal/main/r-cran-performanceestimation_1.1.0-1.ca2004.1_all.deb
Size: 1457632
MD5sum: 590d5414c97616571c704692c9d2ccea
SHA1: bfcd377d3a182ab72e9992dfaf2645afe18a89d5
SHA256: 6adb184866225e956c22e28819c4959ecfdc3e5bb0609e257339202e84f54dc1
SHA512: 359a2cf5bd1fe356e8276a8605a96888509ece2f9da45977a1e255804aacea30dd3f7a80d5add463d65a9ac8cfc86a14d197a10f2381b30be5e04d6006d43e5a
Homepage: https://cran.r-project.org/package=performanceEstimation
Description: CRAN Package 'performanceEstimation' (An Infra-Structure for Performance Estimation of PredictiveModels)
 An infra-structure for estimating the predictive performance of predictive
 models. In this context, it can also be used to compare and/or select among
 different alternative ways of solving one or more predictive tasks. The main
 goal of the package is to provide a generic infra-structure to estimate the
 values of different metrics of predictive performance using different
 estimation procedures. These estimation tasks can be applied to any
 solutions (workflows) to the predictive tasks. The package provides easy to
 use standard workflows that allow the usage of any available R modeling
 algorithm together with some pre-defined data pre-processing steps and also
 prediction post- processing methods. It also provides means for addressing
 issues related with the statistical significance of the observed
 differences.

Package: r-cran-pergola
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 753
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seriation
Suggests: r-cran-knitr, r-cran-gclus, r-cran-dendextend, r-cran-matrix, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pergola_1.0-1.ca2004.1_all.deb
Size: 508884
MD5sum: e3f2e8bfaf2471cb48e988a6b223d531
SHA1: dc437124f97ca3526bf0c987342cea9566a2ca2f
SHA256: 8a718a57e70de7869ae07891e5c2a33c82b04d03d1a0f6581426b0352128d8d5
SHA512: caa8379d32a05288056a4e8cc00bc94630fd44db9ce0987440e4f31bec61b3d83ea0e5d84f322828036218be638673f0b67275f0cc88ca369cd5e28fe7b5e7ff
Homepage: https://cran.r-project.org/package=pergola
Description: CRAN Package 'pergola' (Toolbox for Polyploid Genetic Data)
 Provides tools for linkage mapping in polyploids.  It implements the method
 PERGOLA, which is a fast, deterministic method to calculate the order of
 markers in a linkage group.

Package: r-cran-periodics
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-rms
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-periodics_0.5.0-1.ca2004.1_all.deb
Size: 176460
MD5sum: af7d6dfc5a774e814864b23af6f3eb1c
SHA1: e73fcf98ba36d64a403339392d483fe91d1f286f
SHA256: d3a76ccca617c2d5f096cb30925ca365ea0e93dd644deaac13d127cde00b1ee6
SHA512: e9b2a78f29eacea56ca2c1e889ec20229ccd970829f5952eb5c10854dae399da809880cf2108e799e3d91bd1642607a26c52455c4d3a3525240ea9cfce2ebaaa
Homepage: https://cran.r-project.org/package=peRiodiCS
Description: CRAN Package 'peRiodiCS' (Functions for Generating Periodic Curves)
 Functions for generating variants of curves: restricted cubic spline,
 periodic restricted cubic spline, periodic cubic spline. Periodic splines
 can be used to model data that has periodic nature / seasonality.

Package: r-cran-periodictable
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-periodictable_0.1.2-1.ca2004.1_all.deb
Size: 44396
MD5sum: 1487db39ee5c893fbdcf4673704b663b
SHA1: 04f0e0ebd732753bafb2b2b4ccd1332fe01e45ca
SHA256: 150a8066a59355b3541a11f238ddbf6eaf8fa88cd030c49ae3e08723b9901574
SHA512: 55bb4fb9a9976f63c2c270a1700094e5f5722309c2aa5db019e61faf2b5cb37511b5c2f1a20145b3d64fcedd854a1d3b954c5333fce8e703781d042753be380f
Homepage: https://cran.r-project.org/package=PeriodicTable
Description: CRAN Package 'PeriodicTable' (Periodic Table of the Elements)
 Provides a dataset containing properties for chemical elements.  Helper
 functions are also provided to access some atomic properties.

Package: r-cran-periscope2
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4294
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-bs4dash, r-cran-dt, r-cran-fresh, r-cran-lubridate, r-cran-shinyfeedback, r-cran-shinywidgets, r-cran-writexl, r-cran-yaml, r-cran-lifecycle
Suggests: r-cran-assertthat, r-cran-canvasxpress, r-cran-colourpicker, r-cran-ggplot2, r-cran-knitr, r-cran-lattice, r-cran-miniui, r-cran-openxlsx, r-cran-rmarkdown, r-cran-shinyjs, r-cran-spelling, r-cran-testthat, r-cran-waiter
Filename: pool/dists/focal/main/r-cran-periscope2_0.2.4-1.ca2004.1_all.deb
Size: 2115916
MD5sum: e825ac6fa9262a3293b9117f5c9bfd37
SHA1: 2d48c02364c8489e98584f3e0101eb80d6bd1e89
SHA256: d8594ce5d0791041c7e5cfe6c4adb7f8f5cf7adc7f2d443ae839a2cd8881133f
SHA512: d79589d1de29d7fad554d2e213034dfb5ee7412d31d5e87fc85b8f92dd9d62b6b2d938df9d5fc7c02bf873353fba05ae60f24be9e34df3552d8e5cad918ff489
Homepage: https://cran.r-project.org/package=periscope2
Description: CRAN Package 'periscope2' (Enterprise Streamlined 'shiny' Application Framework Using'bs4Dash')
 A framework for building enterprise, scalable and UI-standardized 'shiny'
 applications.  It brings enhanced features such as 'bootstrap' v4
 <https://getbootstrap.com/docs/4.0/getting-started/introduction/>,
 additional and enhanced 'shiny' modules, customizable UI features, as well
 as an enhanced application file organization paradigm. This update allows
 developers to harness the ability to build powerful applications and
 enriches the 'shiny' developers' experience when building and maintaining
 applications.

Package: r-cran-periscope
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2651
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-shinybs, r-cran-lubridate, r-cran-dt, r-cran-writexl, r-cran-ggplot2, r-cran-fresh, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shinydashboardplus, r-cran-testthat, r-cran-canvasxpress, r-cran-openxlsx, r-cran-colourpicker
Filename: pool/dists/focal/main/r-cran-periscope_1.0.4-1.ca2004.1_all.deb
Size: 1172908
MD5sum: 017372a1fe2df3f97704d6532277d581
SHA1: 5df152e67509e86285e0dfa2b53181168b7793ae
SHA256: a1f516a7274e8d4cccc01b30bbdb741ee051ce7ea6bbbe0443ec54fb6ea00d82
SHA512: de0eac259c15edea7c0b095b52a233d64447dd93772a253556c6ac459a46790e9baeb613ffbf2979da3352da1433c20b73f703cfed3e9922dd8b21fbc60b2164
Homepage: https://cran.r-project.org/package=periscope
Description: CRAN Package 'periscope' (Enterprise Streamlined 'Shiny' Application Framework)
 An enterprise-targeted scalable and UI-standardized 'shiny' framework
 including a variety of developer convenience functions with the goal of both
 streamlining robust application development while assisting with creating a
 consistent user experience regardless of application or developer.

Package: r-cran-perk
Architecture: all
Version: 0.0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2206
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bs4dash, r-cran-dt, r-cran-shiny, r-cran-tibble, r-cran-colourpicker, r-cran-config, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-golem, r-cran-magrittr, r-cran-plotly, r-cran-readr, r-cran-shinyjs, r-cran-shinywidgets, r-cran-tidyr, r-cran-viridis, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-perk_0.0.9.2-1.ca2004.1_all.deb
Size: 1612208
MD5sum: 64eb393e254fba961f9b4fa0ee2ba8c7
SHA1: d74a277afd66e6e8330808d981148a86a49890c1
SHA256: 322193e66fbfef75b55dd439df6b69f3213daadd5de3fc4aa7f95f2627104612
SHA512: da2007f36bdb5e71f3aaceb6abc800939120582622c85b776015fe3391718b64683c80e8a73e6f28cbae1594433bbcba901846d11fb9f33cc9ef13cc4327ba1f
Homepage: https://cran.r-project.org/package=PERK
Description: CRAN Package 'PERK' (Predicting Environmental Concentration and Risk)
 A Shiny Web Application to predict and visualize concentrations of
 pharmaceuticals in the aqueous environment.  Jagadeesan K., Barden R. and
 Kasprzyk-Hordern B. (2022) <https://www.ssrn.com/abstract=4306129>.

Package: r-cran-perm
Architecture: all
Version: 1.0-0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-coin
Filename: pool/dists/focal/main/r-cran-perm_1.0-0.4-1.ca2004.1_all.deb
Size: 85640
MD5sum: 2020b405e322cb896652936958762347
SHA1: 143a55decff26c2454e19af0382612ec8aff0d7e
SHA256: b2699b298e551412c93f82863ffb97639eb34ae762d78ca4ec1df816576cee07
SHA512: 07cd73fada115dec9f4326746b33db8d40f545c3fd3b356d03dd8fee5f7492742b6d8f15816c9813b82cd90f4b8743abb5899ae5a2b084a328790c0aea97d354
Homepage: https://cran.r-project.org/package=perm
Description: CRAN Package 'perm' (Exact or Asymptotic Permutation Tests)
 Perform Exact or Asymptotic permutation tests [see Fay and Shaw
 <doi:10.18637/jss.v036.i02>].

Package: r-cran-permalgo
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-permalgo_1.2-1.ca2004.1_all.deb
Size: 30180
MD5sum: 3b07b2739193beccc01343a75aa99665
SHA1: 01124b5e02edf8bac8715ff8c8d939b2d645dd51
SHA256: 387316966c5b86d9133a5e28360a1edc2066146349c08a2245efeef2d0a8fccb
SHA512: 56a97afd33e9dc2bb1fa8a2d11c624533d4abda1cce0a94f0ae18069ffcd4423c4e87698f6b296ee743655930a856a0a3ac6a1c9cb64fceab23deeb91c1a57b4
Homepage: https://cran.r-project.org/package=PermAlgo
Description: CRAN Package 'PermAlgo' (Permutational Algorithm to Simulate Survival Data)
 This version of the permutational algorithm generates a dataset in which
 event and censoring times are conditional on an user-specified list of
 covariates, some or all of which are time-dependent.

Package: r-cran-permanova
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-xtable, r-cran-mass, r-cran-scales, r-cran-deldir
Filename: pool/dists/focal/main/r-cran-permanova_0.2.0-1.ca2004.1_all.deb
Size: 317940
MD5sum: c543fb058f6b7e0e61a3a8d49b9cefaf
SHA1: 0aca1c15dc54bfa77e72198e314cf4c34f3b913e
SHA256: 8d8188fd7a2ff705de39e30963b0fa4311a1d46bd004be6c2810217d3526a4f9
SHA512: 90aafd21ae4c8f988b8b2764a16fc0103f920c896f6b64204c1f59085b4939598353bc19451b539d27c0d0928cbbc2c944c47394bb233d8ace39f1e59496f5f3
Homepage: https://cran.r-project.org/package=PERMANOVA
Description: CRAN Package 'PERMANOVA' (Multivariate Analysis of Variance Based on Distances andPermutations)
 Calculates multivariate analysis of variance based on permutations and some
 associated pictorial representations. The pictorial representation is based
 on the principal coordinates of the group means. There are some original
 results that will be published soon.

Package: r-cran-permat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-permat_0.1.0-1.ca2004.1_all.deb
Size: 30568
MD5sum: c66ba29f6294f821684035067392671c
SHA1: 74503de14ebd52076ad5b43e5139496571a430e4
SHA256: fe291453b4216cfaeb7557b082973b11a846ea0ebb54ae326d4998f162697ebe
SHA512: b80d097791650f086f626477a91a684e89e8baa6bad6a8a8f8748145a7266948f4881338b10cc2186706a65d4e809ccdaadfc86a8120f6a77cd037fd0d9b8415
Homepage: https://cran.r-project.org/package=PerMat
Description: CRAN Package 'PerMat' (Performance Metrics in Predictive Modeling)
 Performance metric provides different performance measures like mean squared
 error, root mean square error, mean absolute deviation, mean absolute
 percentage error etc. of a fitted model. These can provide a way for
 forecasters to quantitatively compare the performance of competing models.
 For method details see (i) Pankaj Das (2020)
 <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

Package: r-cran-permchacko
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-permchacko_1.0.1-1.ca2004.1_all.deb
Size: 41780
MD5sum: f68ab62d9b48cc3772b972792efe6d66
SHA1: 0ad9424da86c45afb3c6dcf40e9f4249ccd2543a
SHA256: 1662dd47b90a9ab9e1d6ce8bd06af215d6dab5e11a8c7b7f99ac77f42fc2d2d6
SHA512: 9a5f1a90036e5c3fc4e2a2d903a894476d12859daaf15bb9b07d088340bf01186d44ba5802c2e77e48887895b44dda58db8cac880155c870ed0cc4ba84a0cb31
Homepage: https://cran.r-project.org/package=permChacko
Description: CRAN Package 'permChacko' (Chacko Test for Order-Restriction with Permutation)
 Implements an extension of the Chacko chi-square test for ordered vectors
 (Chacko, 1966, <https://www.jstor.org/stable/25051572>).  Our extension
 brings the Chacko test to the computer age by implementing a permutation
 test to offer a numeric estimate of the p-value, which is particularly
 useful when the analytic solution is not available.

Package: r-cran-permcor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-permcor_0.1.0-1.ca2004.1_all.deb
Size: 42944
MD5sum: 69141b5bcd2b944ae3c016014825025d
SHA1: b7c206bbff9df71afe28bb3144d568718c49ead8
SHA256: 91a72623846a9dcf0917310ac490ac58027686ee81694a5ad904afd4de2633b2
SHA512: ab5836565b7f508ab72451113dabca05878ee1d39d912ab2538fd3c004fb6d60531caf8660baa51e04bc98e8228b43b980d510e93165553f3735506b9752b87b
Homepage: https://cran.r-project.org/package=PermCor
Description: CRAN Package 'PermCor' (Robust Permutation Tests of Correlation Coefficients)
 Provides tools for statistical testing of correlation coefficients through
 robust permutation method and large sample approximation method. Tailored to
 different types of correlation coefficients including Pearson correlation
 coefficient, weighted Pearson correlation coefficient, Spearman correlation
 coefficient, and Lin's concordance correlation coefficient.The robust
 permutation test controls type I error under general scenarios when sample
 size is small and two variables are dependent but uncorrelated. The large
 sample approximation test generally controls type I error when the sample
 size is large (>200).

Package: r-cran-permgs
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-coin
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-permgs_0.2.5-1.ca2004.1_all.deb
Size: 87688
MD5sum: fbdff33930984925b3e7623baeaed798
SHA1: 219d6c3108f9933c3cca4f7d433ed407d495f715
SHA256: 4213d0c30c1d69b059e741578a660c93d629f36b2f0a83d2245490131d4cc3a2
SHA512: ccdd956d7b4cca52c07a849033d0889ec940040b93344fcec33476c45487453fe5415f48a86fddccd0be49106e1522a2ab3aff10481c5f6d7ebaccd643c2f30d
Homepage: https://cran.r-project.org/package=permGS
Description: CRAN Package 'permGS' (Permutational Group Sequential Test for Time-to-Event Data)
 Permutational group-sequential tests for time-to-event data based on the
 log-rank test statistic. Supports exact permutation test when the censoring
 distributions are equal in the treatment and the control group and
 approximate imputation-permutation methods when the censoring distributions
 are different.

Package: r-cran-permimp
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ipred, r-cran-party, r-cran-pbapply, r-cran-randomforest, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-permimp_1.1-0-1.ca2004.1_all.deb
Size: 145276
MD5sum: 78ddf4ad3e3c5c58ff2aec43e5808cf9
SHA1: ef9aae279654097270481e744d02662dd8a29287
SHA256: edacec91149e128cb0bfca27053792f5c45ebdd29f4215645eb51c4311b8826c
SHA512: c5e62038ee8c7dcd82e1fa15ff2443b087a8f8ae4a3344936c7e9b629084f47002d06b43e5746e6fb7613f0d0d513b9bb4768e3a79d557e5acdb1e44f2c98f1a
Homepage: https://cran.r-project.org/package=permimp
Description: CRAN Package 'permimp' (Conditional Permutation Importance)
 An add-on to the 'party' package, with a faster implementation of the
 partial-conditional permutation importance for random forests. The standard
 permutation importance is implemented exactly the same as in the 'party'
 package. The conditional permutation importance can be computed faster, with
 an option to be backward compatible to the 'party' implementation. The
 package is compatible with random forests fit using the 'party' and the
 'randomForest' package. The methods are described in Strobl et al. (2007)
 <doi:10.1186/1471-2105-8-25> and Debeer and Strobl (2020)
 <doi:10.1186/s12859-020-03622-2>.

Package: r-cran-permubiome
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-dabestr, r-cran-gridextra, r-cran-matrix, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-permubiome_1.3.2-1.ca2004.1_all.deb
Size: 58636
MD5sum: 20f6e7e469934b4ad8a7b7664dfea000
SHA1: cb8bf4ed518052386f51c8555a1cb7eb48190b06
SHA256: 0a269c4c1210dedf07716e630298e3a58a85b901e0a13051d13a4d8fe6de678e
SHA512: 64bb79087f8e0ae1c9e035f158cb0d9326a38999b2f49a5e64f2bf827867769d252cf451852e2b2d7e18ac43ae10b8694f9d421c8a6c7fc64c0f9de8a04cf4f6
Homepage: https://cran.r-project.org/package=permubiome
Description: CRAN Package 'permubiome' (A Permutation Based Test for Biomarker Discovery in MicrobiomeData)
 The permubiome R package was created to perform a permutation-based
 non-parametric analysis on microbiome data for biomarker discovery aims.
 This test executes thousands of comparisons in a pairwise manner, after a
 random shuffling of data into the different groups of study with a prior
 selection of the microbiome features with the largest variation among
 groups. Previous to the permutation test itself, data can be normalized
 according to different methods proposed to handle microbiome data
 ('proportions' or 'Anders'). The median-based differences between groups
 resulting from the multiple simulations are fitted to a normal distribution
 with the aim to calculate their significance. A multiple testing correction
 based on Benjamini-Hochberg method (fdr) is finally applied to extract the
 differentially presented features between groups of your dataset. LATEST
 UPDATES: v1.1 and olders incorporates function to parse COLUMN format; v1.2
 and olders incorporates -optimize- function to maximize evaluation of
 features with largest inter-class variation; v1.3 and olders includes the
 -size.effect- function to perform estimation statistics using the
 bootstrap-coupled approach implemented in the 'dabestr' (>=0.3.0) R package.
 Current v1.3.2 fixed bug with "Class" recognition and updated 'dabestr'
 functions.

Package: r-cran-permutationr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-permutationr_0.1.0-1.ca2004.1_all.deb
Size: 13928
MD5sum: 0e464529088ef93890c8022b8d93c980
SHA1: 13b322fe7e023710cf46cadd2c3ad4c028c516ed
SHA256: 1b56d440acb06907a0980b201d18e6b269b9b2aed4d84d5ccac610fb220a82e5
SHA512: d27bc06f3427ab05a030d8d7089d5d6f573272da614e7413c2ffe5d0d03a67840ba07cb4ec5ec6f9d7c1fd3aefe2e2b513e3a69806f055187c666fe192ab2381
Homepage: https://cran.r-project.org/package=PermutationR
Description: CRAN Package 'PermutationR' (Conduct Permutation Analysis of Variance in R)
 Conduct permutation One-Way or Two-Way Analysis of Variance in R. Use
 different permutation types for two-way designs.

Package: r-cran-permutations
Architecture: all
Version: 1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1858
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magic, r-cran-numbers, r-cran-partitions, r-cran-freealg
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-magrittr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-permutations_1.1-6-1.ca2004.1_all.deb
Size: 580500
MD5sum: f63cb7db83b75aea3f9c4ad8134030cb
SHA1: f17c1ceb0bd156d86a25338f971cc835a0f9ae7b
SHA256: 8f65eef6e3c82a48d43b8dce57a560d52c73d4ddb6e8a6e861f18d020fb60540
SHA512: 76ed9fd00f5ece66f063f4b43a91005c1460bc014c193ce1717d11244a7b473945b8e8ef2c7e9fb5cd8253e26ad144c5c6d70571386918e204e21c4fc60a4451
Homepage: https://cran.r-project.org/package=permutations
Description: CRAN Package 'permutations' (The Symmetric Group: Permutations of a Finite Set)
 Manipulates invertible functions from a finite set to itself.  Can transform
 from word form to cycle form and back.  To cite the package in publications
 please use Hankin (2020) "Introducing the permutations R package",
 SoftwareX, volume 11 <doi:10.1016/j.softx.2020.100453>.

Package: r-cran-permute
Architecture: all
Version: 0.9-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-vegan, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-sessioninfo
Filename: pool/dists/focal/main/r-cran-permute_0.9-8-1.ca2004.1_all.deb
Size: 210008
MD5sum: ab000c53ce22d2dded4b4d5ea53e81c2
SHA1: 5066be2a0a4cbf942c4c38857fad733a3a51e0fe
SHA256: 807337111b890e2bfae0b2307db39c57203b18b76ddaa245008c8ea37df77064
SHA512: c51cdc71c79a8e80a6bc8d0d6dc1d70138c8f636ed84bf9f6869128a967a61c711264eb8d0cc38c5f0c6afa7a5e881a19cff8688524f4e6768de17d82ac140b0
Homepage: https://cran.r-project.org/package=permute
Description: CRAN Package 'permute' (Functions for Generating Restricted Permutations of Data)
 A set of restricted permutation designs for freely exchangeable, line
 transects (time series), and spatial grid designs plus permutation of blocks
 (groups of samples) is provided. 'permute' also allows split-plot designs,
 in which the whole-plots or split-plots or both can be freely-exchangeable
 or one of the restricted designs. The 'permute' package is modelled after
 the permutation schemes of 'Canoco 3.1' (and later) by Cajo ter Braak.

Package: r-cran-permutes
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3310
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr
Suggests: r-cran-buildmer, r-cran-car, r-cran-doparallel, r-cran-ggplot2, r-cran-glmmtmb, r-cran-knitr, r-cran-lme4, r-cran-lmperm, r-cran-permuco, r-cran-rmarkdown, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-permutes_2.8-1.ca2004.1_all.deb
Size: 2987692
MD5sum: b302aed161cd6cdd2b771968a8cf82a3
SHA1: c97da48615d269cf134764f0c4bee69bc3af3d6f
SHA256: 8891fe06694c88d8a23d65adcde1a732d1800ccbf5a3f04493528744f33c9215
SHA512: 0616846ca3bacd6c9f07a99e2ecfa039d8bc8cdc0608fc1c4adbc4711751698a4e14b7008b5d629d89bed46ffebfdeb8ecbf68c03a6a3b7c83110e7924b9313f
Homepage: https://cran.r-project.org/package=permutes
Description: CRAN Package 'permutes' (Permutation Tests for Time Series Data)
 Helps you determine the analysis window to use when analyzing
 densely-sampled time-series data, such as EEG data, using permutation
 testing (Maris & Oostenveld, 2007) <doi:10.1016/j.jneumeth.2007.03.024>.
 These permutation tests can help identify the timepoints where significance
 of an effect begins and ends, and the results can be plotted in various
 types of heatmap for reporting. Mixed-effects models are supported using an
 implementation of the approach by Lee & Braun (2012)
 <doi:10.1111/j.1541-0420.2011.01675.x>.

Package: r-cran-permutest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-permutest_1.0.0-1.ca2004.1_all.deb
Size: 63428
MD5sum: 01f420b42c50e0131cb3f68c062b4ae4
SHA1: 49e08a4a35f792ca1bb55f3a7c4f78ad8cb0d42b
SHA256: 1539f90a8b4e0d225a110207a8482f8938922afe06ade2739d7a09f93497c42e
SHA512: 4a513fa3305d51a67e7a2b31469b89d9d55e77e0c46bbc0cc7c238c4c1a15ff9eb81e80c721fdc5f425db73dcc36afa2944456f93e19b8457dc97d8d04445dd4
Homepage: https://cran.r-project.org/package=permutest
Description: CRAN Package 'permutest' (Run Permutation Tests and Construct Associated ConfidenceIntervals)
 Implements permutation tests for any test statistic and randomization scheme
 and constructs associated confidence intervals as described in Glazer and
 Stark (2024) <doi:10.48550/arXiv.2405.05238>.

Package: r-cran-perplexr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clipr, r-cran-httr, r-cran-jsonlite, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-perplexr_0.0.3-1.ca2004.1_all.deb
Size: 76800
MD5sum: 71953d0a44c579dbd0c5d6d5817e69ba
SHA1: b48746909a4b46a5db6ee9e8d8adafd092d30c1f
SHA256: 98c5ac3947fb800959d5ece918db1d79e1c766702dff7fdae90948fe4ce3d4a8
SHA512: d0d03e39eb958908ce5d7cc1b3044b4c96a1f199dc5c5462a7682f77eb2ad0b3f1275b69e9af5660f568e7472a8e48b96645dd363ae47c0cf9d26f0eca0a88cf
Homepage: https://cran.r-project.org/package=perplexR
Description: CRAN Package 'perplexR' (A Coding Assistant using Perplexity's Large Language Models)
 A coding assistant using Perplexity's Large Language Models
 <https://www.perplexity.ai/> API. A set of functions and 'RStudio' add-ins
 that aim to help R developers.

Package: r-cran-perregmod
Architecture: all
Version: 4.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-expm, r-cran-readxl, r-cran-sn
Filename: pool/dists/focal/main/r-cran-perregmod_4.4.3-1.ca2004.1_all.deb
Size: 224032
MD5sum: 672966a466b6f1f3aa2f49bcb640fb14
SHA1: a6ec652291d7530c98fd63eb168cedee60590c52
SHA256: bf14258b9654d30db0d9a02b3d7d10ba48d5c01541ff2b712f5919be573f794a
SHA512: fa87e708eb41f4f5bea7a529aa18825e2b093c6a6cb0c444e949fbfb2e9131774aa403c90dfd773e694e7fc6bbf3e7b3f5d0833098d44ab41bba5779670cab1a
Homepage: https://cran.r-project.org/package=PerRegMod
Description: CRAN Package 'PerRegMod' (Fitting Periodic Coefficients Linear Regression Models)
 Provides tools for fitting periodic coefficients regression models to data
 where periodicity plays a crucial role. It allows users to model and analyze
 relationships between variables that exhibit cyclical or seasonal patterns,
 offering functions for estimating parameters and testing the periodicity of
 coefficients in linear regression models. For simple periodic coefficient
 regression model see Regui et al. (2024)
 <doi:10.1080/03610918.2024.2314662>.

Package: r-cran-perry
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 310
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-perryexamples, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-perry_0.3.1-1.ca2004.1_all.deb
Size: 233880
MD5sum: 2954363c8b9e5cfdaa24c63b84703257
SHA1: 907bf4319cb9ba6db6c362bd9aa1caf33e598187
SHA256: 0eb9c46ad0866fe76d446f2bbb898ae1cd83a1ac0d4364f2a68e48811e91bcdb
SHA512: 96937c5cbd8052e91d49b3f33c199dd37e2e1c6a69db5042bc22719f86bc7937a7d64d9ddaa0e245b39531418019b32f66a078702fb4876470c9dd48e88cc34a
Homepage: https://cran.r-project.org/package=perry
Description: CRAN Package 'perry' (Resampling-Based Prediction Error Estimation for RegressionModels)
 Tools that allow developers to write functions for prediction error
 estimation with minimal programming effort and assist users with model
 selection in regression problems.

Package: r-cran-perryexamples
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-perry, r-cran-robustbase, r-cran-quantreg, r-cran-lars
Filename: pool/dists/focal/main/r-cran-perryexamples_0.1.1-1.ca2004.1_all.deb
Size: 94176
MD5sum: da096c2dd38ad0544c30203c23d6a655
SHA1: ad8c0f2a5eb801e6fbd4166ab1e657ffd5ed897a
SHA256: 86dada3c41a12d6735af94a8cd45c0aecba9d011bcca91e994eefa4b5f2075af
SHA512: 154a06ee76ee619fd05258205e3dab774cd7d09946e6fa7da6be7bbc9291fec41c5c14d13a0414d2b8285df58fd950d87e2ca5952f42a7c8949296c85f5cd3ac
Homepage: https://cran.r-project.org/package=perryExamples
Description: CRAN Package 'perryExamples' (Examples for Integrating Prediction Error Estimation intoRegression Models)
 Examples for integrating package 'perry' for prediction error estimation
 into regression models.

Package: r-cran-persdx
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-proc, r-cran-survivalroc
Filename: pool/dists/focal/main/r-cran-persdx_0.5.0-1.ca2004.1_all.deb
Size: 63924
MD5sum: 329531f679c517db335ad024f7aee71e
SHA1: 5e09be06864b2394bce37bc23f8f9c660169295d
SHA256: 852d60d277bc247e6fe7d7f9420317771add95e899cbd253d3bd89ba53a33fd4
SHA512: 558ee82fae82291e9b406fa6dc065ab22daa72f2e9cfab1b5b516c870298be1b27393c58a57bffb1e569be1ccda35226c56d11d83083aeb2e7de6b7bca467dd8
Homepage: https://cran.r-project.org/package=persDx
Description: CRAN Package 'persDx' (Personalized Diagnostics Rules for Subgroup Identification andPersonalized Biomarker Discovery)
 Tailoring the optimal biomarker(s) for disease screening or diagnosis based
 on subjects' individual characteristics.

Package: r-cran-perseusr
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-xml, r-bioc-biobase, r-cran-stringr
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-perseusr_0.3.4-1.ca2004.1_all.deb
Size: 214984
MD5sum: 69ae1c032f42f5b782344ac566f8de02
SHA1: 35d0bd3de4b19cca574b66a01f5212eb4792bfa9
SHA256: 4186de0e2ebaf24a09b6014804945f464099d754e298b69e170baf6e084dd20c
SHA512: 1bf3104843187d14357259e6fea17de422e0d30e32514d587dcad681405315f87ed3492fbfbb3ee1803d497f8ef99554ddbab1a2f0413916ca6e9d7fb3ebb348
Homepage: https://cran.r-project.org/package=PerseusR
Description: CRAN Package 'PerseusR' (Perseus R Interop)
 Enables the interoperability between the Perseus platform for omics data
 analysis (Tyanova et al. 2016) <doi:10.1038/nmeth.3901> and R. It provides
 the foundation for developing and running Perseus plugins implemented in R
 by providing all required input and output handling, including data and
 parameter parsing as described in Rudolph and Cox 2018 <doi:10.1101/447268>.

Package: r-cran-persiandictionary
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7722
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-persiandictionary_1.0-1.ca2004.1_all.deb
Size: 7875560
MD5sum: 8036a87fb15b6c78853a799761de75ed
SHA1: 8f3038a0fae709030faf5c29e23ab24155aa477e
SHA256: 1f47bd00efca3f1557a2271001fa8c1aa2c2bb7c6b65af4db03b282ff6242028
SHA512: 411e8f5e4511988123ff6898628b06f7605726ac9536c310563e51a043f86678279409a1f48c98a96404db2f4d8c9da6331d00d052c91311fd6f735570d94bf8
Homepage: https://cran.r-project.org/package=persiandictionary
Description: CRAN Package 'persiandictionary' (English to Persian dictionary)
 Translate words from English to Persian (Over 67,000 words)

Package: r-cran-persianstemmer
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-persianstemmer_1.0-1.ca2004.1_all.deb
Size: 80556
MD5sum: 5463f0e8490b69734b799af61a40fc01
SHA1: 0dbeb5d63ba0dd5cc322fa6335378eae42a6cdee
SHA256: 3f82b2f9628f362363aead1ff9504ef2111990be23c81f43a5701487e4645fc9
SHA512: e5eb8d3b83efff9202647d233d7cc58dfd21da29c941a4a07a0d603bbb879a488d3b94ca8214dbeba60d4843b65c15f0bcba0f8c20e9d76eb46b24eb63bf6456
Homepage: https://cran.r-project.org/package=PersianStemmer
Description: CRAN Package 'PersianStemmer' (Persian Stemmer for Text Analysis)
 Allows users to stem Persian texts for text analysis.

Package: r-cran-persomicsarray
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 761
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-tiff, r-cran-stringr, r-cran-raster
Filename: pool/dists/focal/main/r-cran-persomicsarray_1.0-1.ca2004.1_all.deb
Size: 723144
MD5sum: 33928ca708f442f3b2014593b0c97170
SHA1: 7f32307c802692ba5314a4b03bb192afccf4dce7
SHA256: 34761d4583c18b03e778e6a3d1d94905dd0df5eae57e583adde36fe842b4832c
SHA512: b07cfc86629dd093d19e082681c1ba4324d5019b3b6889bfc14a7e5a0b46c1462c3699b65a0ca0e633070e127bb777bd2346a52a0e1eeb69557662eb209a7407
Homepage: https://cran.r-project.org/package=PersomicsArray
Description: CRAN Package 'PersomicsArray' (Automated Persomics Array Image Extraction)
 Automated identification of printed array positions from high content
 microscopy images and the export of those positions as individual images
 written to output as multi-layered tiff files.

Package: r-cran-personalized
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1710
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glmnet, r-cran-mgcv, r-cran-ggplot2, r-cran-plotly, r-cran-survival, r-cran-kernlab, r-cran-foreach, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-personalized_0.2.7-1.ca2004.1_all.deb
Size: 989088
MD5sum: 38c37102fdc1b925e81190249cb93cf7
SHA1: 9962f0e504c18d36ada5e56bd51f46db4b2da100
SHA256: e59c286bba87ba56f589409aa953f02cd7c17643a2e166cd02c9e114c9a564b7
SHA512: a3a2438693ff0f8d4deaaeeaef293347adfc766bcdd3b5f53515e3a5f7d8df809cd48fd0c8f4c034439fc8b749c5d69fc8febc4c18750318e67821d59e4ee643
Homepage: https://cran.r-project.org/package=personalized
Description: CRAN Package 'personalized' (Estimation and Validation Methods for Subgroup Identificationand Personalized Medicine)
 Provides functions for fitting and validation of models for subgroup
 identification and personalized medicine / precision medicine under the
 general subgroup identification framework of Chen et al. (2017)
 <doi:10.1111/biom.12676>.  This package is intended for use for both
 randomized controlled trials and observational studies and is described in
 detail in Huling and Yu (2021) <doi:10.18637/jss.v098.i05>.

Package: r-cran-personalr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-desc, r-cran-devtools, r-cran-fs, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rprojroot, r-cran-rstudioapi, r-cran-usethis, r-cran-withr, r-cran-xfun
Suggests: r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-personalr_1.0.3-1.ca2004.1_all.deb
Size: 61444
MD5sum: 44e83012a677f735323fbfb6148ccb04
SHA1: 9547f37d079cc7e70643ce91c10c4701a79b20bb
SHA256: b9bbd1591408ed1499aa2f31b16925139b4d8ba253e7c64e58a0225eb4f57613
SHA512: bd547c15ca35b9e5d60f5cb866e878266eb5dc232da5e20eb6696aae276752ca468e1b57703354d2348c8fdb576e9cd229bd61ec64d330fd52347fd709d047e5
Homepage: https://cran.r-project.org/package=personalr
Description: CRAN Package 'personalr' (Automated Personal Package Setup)
 Functions to setup a personal R package that attaches given libraries and
 exports personal helper functions.

Package: r-cran-personograph
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-grimport
Suggests: r-cran-meta
Filename: pool/dists/focal/main/r-cran-personograph_0.1.3-1.ca2004.1_all.deb
Size: 172260
MD5sum: d9a095102d20fa101d1f1c3e82d73ebd
SHA1: 07675c3bd76d0385b4a4ca5a8688733999da7530
SHA256: 5d7e6fe08e31319619371d116f16bdf8b10d6c434206b065e5b0cb1755f0d291
SHA512: dc172970d1c93a503388abb1a3d140d0a7abbf8c66a5e0dc2f2d0060cdb90a8a70ccfc571de82f87bdbe35baeeaed86f31d879068902ea274f0fb5d0ad9aa8c4
Homepage: https://cran.r-project.org/package=personograph
Description: CRAN Package 'personograph' (Pictographic Representation of Treatment Effects)
 Visualizes treatment effects using person icons, similar to Cates (NNT)
 charts.

Package: r-cran-personr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-whisker
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-personr_1.0.0-1.ca2004.1_all.deb
Size: 191136
MD5sum: 9f7537f0a79b261400539c00344306b2
SHA1: 70269d825c9c72c4bffcedd397027f2eb77d96b5
SHA256: 76f25c248454031b61140ffd139cb4f13b71f067f74975ca91f9bbaa551834fb
SHA512: 8e6c0b1e3227587d325f0b32827a1db44ffc3e484b1f60505baccafc37f4a37ec22f5639801b80bf21c27c3a44b3161d5a36aeb2f6dcc348b3e4fc90dccd253f
Homepage: https://cran.r-project.org/package=personr
Description: CRAN Package 'personr' (Test Your Personality)
 An R-package-version of an open online science-based personality test from
 <https://openpsychometrics.org/tests/IPIP-BFFM/>, providing a
 better-designed interface and a more detailed report.  The core command
 launch_test() opens a personality test in your browser, and generates a
 report after you click "Submit". In this report, your results are compared
 with other people's, to show what these results mean.  Other people's data
 is from <https://openpsychometrics.org/_rawdata/BIG5.zip>.

Package: r-cran-perspectev
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-foreach, r-cran-ape, r-cran-doparallel, r-cran-mapproj, r-cran-boot, r-cran-sp
Filename: pool/dists/focal/main/r-cran-perspectev_1.1-1.ca2004.1_all.deb
Size: 97736
MD5sum: 8e8ac0be2278e819515f9337d954f21c
SHA1: 58e950844ec5c52eef21c689572ce81cda6c9fe6
SHA256: 8746e3357888528d030bdda47d3f10d58b7b60ef3349b2db5026ac5f45d2331e
SHA512: c79b8a813790657f7fee5cadeaa2383f6b22cea47520a9bb34b26dffb2ffbe063a7499108fa6360f56262dd09b3f50db64966dc0b6109c946d6f7097b5610431
Homepage: https://cran.r-project.org/package=perspectev
Description: CRAN Package 'perspectev' (Permutation of Species During Turnover Events)
 Provides a robust framework for analyzing the extent to which differential
 survival with respect to higher level trait variation is reducible to lower
 level variation. In addition to its primary test, it also provides functions
 for simulation-based power analysis, reading in common data set formats, and
 visualizing results. Temporarily contains an edited version of function
 hr.mcp() from package 'wild1', written by Glen Sargeant. For tutorial see:
 http://evolve.zoo.ox.ac.uk/Evolve/Perspectev.html.

Package: r-cran-perspective
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rlist, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-badger, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-perspective_0.1.1-1.ca2004.1_all.deb
Size: 307656
MD5sum: 7dce85c93933a95ad679dbffe4cceeb4
SHA1: 1fdb29bc9c0c44e8bf428b8fe280c5234bfd3f1f
SHA256: 84687a3e501146365de425b3186344ac20e847f6445912f6247b81ce54d460b8
SHA512: c81b1ac36a86db4e45bd9ca8e13e4b1602b7fec2763f8f07bbf83057e5ebe2c0043196cf5fbbf1cfba8ad42b276ae0cfccf664c887d9c13e8f83061642b42a19
Homepage: https://cran.r-project.org/package=peRspective
Description: CRAN Package 'peRspective' (Interface to the 'Perspective' API)
 Interface to the 'Perspective' API, which can be found at the following URL:
 <https://github.com/conversationai/perspectiveapi#perspective-comment-analyzer-api>.
 The 'Perspective' API uses machine learning models to score the perceived
 impact a comment might have on a conversation (i.e. TOXICITY, INFLAMMATORY,
 etc.).  'peRspective' provides access to the API and returns tidy data
 frames with results of the specified machine learning model(s).

Package: r-cran-persval
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmsb
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-persval_1.1.1-1.ca2004.1_all.deb
Size: 69708
MD5sum: c0e00d2d48940fdfa15737657f2844e2
SHA1: ae6919b000a8e75888581c0ab69adfa989a48ec6
SHA256: e486657410cd8017fe70398e5dfc6c7f505f9a394876f7b164f3177d8bf1334b
SHA512: 5202db406e0202dbad72380593a80419e2abf0ccfa2150975fd68fc392fbc8735928a88d40c61cfa9f2c71f434bca45461946fd3aa6a19d0bc1ead81806a4596
Homepage: https://cran.r-project.org/package=persval
Description: CRAN Package 'persval' (Computing Personal Values Scores)
 Compute personal values scores from various questionnaires based on the
 theoretical constructs proposed by professor Shalom H. Schwartz. Designed
 for researchers and practitioners in psychology, sociology, and related
 fields, the package facilitates the quantification and visualization of
 different dimensions related to personal values from survey data. It
 incorporates the recommended statistical adjustment to enhance the accuracy
 and interpretation of the results.  Note: The package 'persval' is
 independently developed based on the personal values theoretical framework,
 and is not directly endorsed by professor Schwartz.

Package: r-cran-perturbr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-perturbr_0.1.3-1.ca2004.1_all.deb
Size: 144584
MD5sum: 8d57ba1a06d2ea49432f25ea1b9b0f77
SHA1: e332dd050047b02fa04f50ff5c0e8ad83ba4de90
SHA256: ae02ff79b9d8ffd2eb671cc8b27b94c7fa0ffbe9adf436f1dea7c8a51fb1a5c1
SHA512: 7c5b0891e9c3611235298940e2733585e5e1eeb62fbc9458c726b70e02057790cc0f532e9f359bdb33d745da38cfa3a1a90057f431fd1793387267b5a310e18c
Homepage: https://cran.r-project.org/package=perturbR
Description: CRAN Package 'perturbR' (Random Perturbation of Count Matrices)
 The perturbR() function incrementally perturbs network edges (using the
 rewireR function)and compares the resulting community detection solutions
 from the rewired networks with the solution found for the original network.
 These comparisons aid in understanding the stability of the original
 solution. The package requires symmetric, weighted (specifically, count)
 matrices/networks.

Package: r-cran-peruflorads43
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-peruflorads43_0.1.1-1.ca2004.1_all.deb
Size: 125600
MD5sum: c31af9be54c0f6f0d71f8a42973a6b0f
SHA1: 494015d5eeec802196602b843d85720cb8b001ba
SHA256: 68b6cf145eb05b9b763f09438df43f4d57004246e80877522de360108fe90e1e
SHA512: 655c4a3d517c022c4989f46a2f6829ddbbe7742374c0898199b66e50d5aaa7b5d86ec50659233d82db3efea102ca32da2074181bdcfd5fe3ddfcc95f93c9369a
Homepage: https://cran.r-project.org/package=peruflorads43
Description: CRAN Package 'peruflorads43' (Reviewed Official Classification of Endangered Wild FloraSpecies in Peru)
 Provide users with a convenient way to access and analyze information on
 endangered plant species in Peru based on `Decreto Supremo N 043-2006-AG -
 Aprueban categorizacion de especies amenazadas de flora
 silvestre`<https://sinia.minam.gob.pe/normas/aprueban-categorizacion-especies-amenazadas-flora-silvestre>.

Package: r-cran-peruse
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-peruse_0.3.1-1.ca2004.1_all.deb
Size: 90844
MD5sum: 5acbf07f9d66eb99fc851d471181a817
SHA1: 4afcaa9efb88c753e3cd9bb99264c044ff3f01e2
SHA256: f7f79e57b5f19eefe34776a77e8b5d134ac92889e34185a1e22aa7b7f06e0f97
SHA512: dc869a1fe35274283c2e3c2aab3a8143a791458fbcb9d76af1c89f28fe4b0f3d0cde7bc1f37fe93b0581e1e8751de3c90835a2da6ffce8dd2720732033d345ba
Homepage: https://cran.r-project.org/package=peruse
Description: CRAN Package 'peruse' (A Tidy API for Sequence Iteration and Set Comprehension)
 A friendly API for sequence iteration and set comprehension.

Package: r-cran-perutimber
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3945
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-perutimber_0.1.0-1.ca2004.1_all.deb
Size: 3656168
MD5sum: f1e043e8683361114337c1404aba49a5
SHA1: 5442417c9851c6aeb1eb00b58b7c9c8eb1966e54
SHA256: a9f0668b3241d62947414e5b63a7550bbebca7b81fd9f2f412fa01bf305192cd
SHA512: bb5a081e11e25e8d6898bca138771a622272c96aa8f0aa64dba956085f111141c3261bf6239c7e93c6d24368d560a89edfc49a65a232734ec8603a6926d78297
Homepage: https://cran.r-project.org/package=perutimber
Description: CRAN Package 'perutimber' (Catalogue of the Timber Forest Species of the Peruvian Amazon)
 Access the data of the 'Catalogue of the Timber Forest Species of the
 Peruvian Amazon' Vásquez Martínez, R., & Rojas Gonzáles,
 R.D.P.(2022)<doi:10.21704/rfp.v37i3.1956>.

Package: r-cran-pesel
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pesel_0.7.5-1.ca2004.1_all.deb
Size: 27360
MD5sum: ad4a32f11ff12550718a963f5d4ee609
SHA1: b0b4c3fd63e9544e3f9715fe2a21a3b6f6064427
SHA256: 910a6ab9f932ce89b54c1fb9826c55775c59f8baaef1d24be82e0dbf3310e363
SHA512: b281a3dc02a6bf5661e0898d7e92f932ba42bfaf74280a2c21ff9ac3eb9ce4eea4318edc2f8c3222b44251e03ef8c0bb35df168a4c8fb482942d21ac0e2bd5ad
Homepage: https://cran.r-project.org/package=pesel
Description: CRAN Package 'pesel' (Automatic Estimation of Number of Principal Components in PCA)
 Automatic estimation of number of principal components in PCA with PEnalized
 SEmi-integrated Likelihood (PESEL). See Piotr Sobczyk, Malgorzata Bogdan,
 Julie Josse "Bayesian dimensionality reduction with PCA using penalized
 semi-integrated likelihood" (2017) <doi:10.1080/10618600.2017.1340302>.

Package: r-cran-pesticideloadindicator
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-readxl, r-cran-stringr, r-cran-magrittr, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pesticideloadindicator_1.3.1-1.ca2004.1_all.deb
Size: 90568
MD5sum: c83183ac07613275c66e80648e446802
SHA1: bd77e1013af716ecffd0d05b778f3d2da3f5c94b
SHA256: be0d61d5f33f5d0fdabd1c62f5e1822ec8929209f1a4e6d8a1a6ad7e90bbe9c9
SHA512: cf3233f3210274f6587916ea5564849a596a9265a1cdb81aa0416ebaf259a2cbace1a214c99665ce30bcbe28ff73fc85641e20804b0fad7846431ccc75c57235
Homepage: https://cran.r-project.org/package=PesticideLoadIndicator
Description: CRAN Package 'PesticideLoadIndicator' (Computes Danish Pesticide Load Indicator)
 Computes the Danish Pesticide Load Indicator as described in Kudsk et al.
 (2018) <doi:10.1016/j.landusepol.2017.11.010> and Moehring et al. (2019)
 <doi:10.1016/j.scitotenv.2018.07.287> for pesticide use data. Additionally
 offers the possibility to directly link pesticide use data to pesticide
 properties given access to the Pesticide properties database (Lewis et al.,
 2016) <doi:10.1080/10807039.2015.1133242>.

Package: r-cran-pestr
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-dbi, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-rsqlite, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-mockr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pestr_0.8.2-1.ca2004.1_all.deb
Size: 171224
MD5sum: 5e457ee8b9754f1a2451c1dda0ca8a61
SHA1: 317b85ea40be57aba1b3c8be3e3a8ab391c22b26
SHA256: 9a9e87bbf64ea323efe62d33eb4163d9cff9dc6357313afdf07f0cf4313e6452
SHA512: 9ffb36b6e477800595847e3775feeb4b2eab30ff707e55ea2da2d3008932df59f5298e91161554038e2f21f5af63edbe0b663c56c7232627f64d15363d70db97
Homepage: https://cran.r-project.org/package=pestr
Description: CRAN Package 'pestr' (Interface to Download Data on Pests and Hosts from 'EPPO')
 Set of tools to automatize extraction of data on pests from 'EPPO Data
 Services' and 'EPPO Global Database' and to put them into tables with human
 readable format. Those function use 'EPPO database API', thus you first need
 to register on <https://data.eppo.int> (free of charge).  Additional helpers
 allow to download, check and connect to 'SQLite EPPO database'.

Package: r-cran-petersen
Architecture: all
Version: 2025.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aiccmodavg, r-cran-bbmle, r-cran-btspas, r-cran-checkmate, r-cran-formula.tools, r-cran-ggplot2, r-cran-mass, r-cran-matrix, r-cran-msm, r-cran-numderiv, r-cran-plyr, r-cran-reshape2, r-cran-rlang, r-cran-spas, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-petersen_2025.3.1-1.ca2004.1_all.deb
Size: 360292
MD5sum: 4193fb850304920b8e7bb744dab60be6
SHA1: 80d19f3763b5bafab9ea3732bfe6bfd92565d71f
SHA256: 76b7a2c55db6bd4159b7dcdcc19d420640245f8d927369bf6a868c36d5829578
SHA512: fd9bb950ae7b5cb91e13de11c13dc63af31387d318e5af6740a7bbdb0767461e45bbde1d3a9d112793e8d4fa07dc9d251a574d01061360053d4c80227273d75c
Homepage: https://cran.r-project.org/package=Petersen
Description: CRAN Package 'Petersen' (Estimators for Two-Sample Capture-Recapture Studies)
 A comprehensive implementation of Petersen-type estimators and its many
 variants for two-sample capture-recapture studies.  A conditional likelihood
 approach is used that allows for tag loss; non reporting of tags; reward
 tags; categorical, geographical and temporal stratification; partial
 stratification; reverse capture-recapture; and continuous variables in
 modeling the probability of capture.  Many examples from fisheries
 management are presented.

Package: r-cran-petersenlab
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1023
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-hmisc, r-cran-digest, r-cran-dplyr, r-cran-ggplot2, r-cran-lavaan, r-cran-mitools, r-cran-mix, r-cran-mvtnorm, r-cran-psych, r-cran-stringr, r-cran-xtable, r-cran-plyr, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-viridislite, r-cran-tidyselect, r-cran-scales, r-cran-purrr
Suggests: r-cran-testthat, r-cran-waldo, r-cran-withr
Filename: pool/dists/focal/main/r-cran-petersenlab_1.1.0-1.ca2004.1_all.deb
Size: 659132
MD5sum: 0c9e389e4c303a5de1815c0a5a233d0b
SHA1: abfd4bedffeed47e83cd07c10a0a473ea26e24d8
SHA256: 71a78254ee68b6ee8b41fea381ea2f7b1797798f3e65b031cfb841022e033c63
SHA512: a76e2259d7e0e08176843263f03c165ce41e156a9c79b4081aaa4aaad522488f90aa6e83d2ff8c94e9c182e4e5a7f8384fc23d08a0017352d581093d4db8e75e
Homepage: https://cran.r-project.org/package=petersenlab
Description: CRAN Package 'petersenlab' (A Collection of R Functions by the Petersen Lab)
 A collection of R functions that are widely used by the Petersen Lab.
 Included are functions for various purposes, including evaluating the
 accuracy of judgments and predictions, performing scoring of assessments,
 generating correlation matrices, conversion of data between various types,
 data management, psychometric evaluation, extensions related to latent
 variable modeling, various plotting capabilities, and other miscellaneous
 useful functions. By making the package available, we hope to make our
 methods reproducible and replicable by others and to help others perform
 their data processing and analysis methods more easily and efficiently. The
 codebase is provided in Petersen (2024) <doi:10.5281/zenodo.7602890> and on
 CRAN: <doi: 10.32614/CRAN.package.petersenlab>. The package is described in
 "Principles of Psychological Assessment: With Applied Examples in R"
 (Petersen, 2024, 2025) <doi:10.1201/9781003357421>,
 <doi:10.25820/work.007199>, <doi:10.5281/zenodo.6466589>.

Package: r-cran-petests
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-petests_0.1.0-1.ca2004.1_all.deb
Size: 130188
MD5sum: 30c4a15ebbdcb4afee73e672159a985b
SHA1: 54dc2f7772d8de0cd8161ee2d7f5d2ea2aa8e0da
SHA256: 67af9acca63a15c9af4ca88ee9d71fb9fc34df585b563d306a563441923b1809
SHA512: 70d848219627bdcb654d75d03977bc4b7a8e54a0d7de2abb2ab72b22b9bde99c9fb39af2bb6419a55b944facfd86f250c1c25d2a7e3f9df43be78127d08eb15d
Homepage: https://cran.r-project.org/package=PEtests
Description: CRAN Package 'PEtests' (Power-Enhanced (PE) Tests for High-Dimensional Data)
 Two-sample power-enhanced mean tests, covariance tests, and simultaneous
 tests on mean vectors and covariance matrices for high-dimensional data.
 Methods of these PE tests are presented in Yu, Li, and Xue (2022)
 <doi:10.1080/01621459.2022.2126781>; Yu, Li, Xue, and Li (2022)
 <doi:10.1080/01621459.2022.2061354>.

Package: r-cran-petfinder
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-lubridate, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-petfinder_2.1.0-1.ca2004.1_all.deb
Size: 80108
MD5sum: 1aa6bb134f210040bdf3329dea3aecd7
SHA1: 73bd398e6d0935891b041b732caefb3dc1acc09b
SHA256: 8f38955787f1d63de590353f49f02103f31eadd8b04731ae52af15ddef00d768
SHA512: 2d14acd1f95c620976abad049f4219b97ec06ee88a930edd4b3dfd125d4d3d9812d8440c95fb69f4431f31bd81bed6dff0ec5246a99184cd11cb84066ac4e731
Homepage: https://cran.r-project.org/package=PetfindeR
Description: CRAN Package 'PetfindeR' ('Petfinder' API Wrapper)
 Wrapper of the 'Petfinder API'
 <https://www.petfinder.com/developers/v2/docs/> that implements methods for
 interacting with and extracting data from the 'Petfinder' database. The
 'Petfinder REST API' allows access to the 'Petfinder' database, one of the
 largest online databases of adoptable animals and animal welfare
 organizations across North America.

Package: r-cran-petitr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-petitr_1.0-1.ca2004.1_all.deb
Size: 36796
MD5sum: a8aec7188350292344a0fdbc170c5598
SHA1: 97e743bec8a9fd37e98141afe2900f862c69c2ea
SHA256: cb4bc1e8f18a8cbf915e6d48161da0af8e941731dd4720376b9af229b4956e54
SHA512: 8a701587b6e49a12c715692e12e7ab306fcf12f8992c142e8bd3bbaabfba9474f7d61e857c6f7e440ac689c2675706175796ef621e502f2dc58025c45925f39d
Homepage: https://cran.r-project.org/package=petitr
Description: CRAN Package 'petitr' (Relative Growth Rate)
 Calculates the relative growth rate (RGR) of a series of individuals by
 building a life table and solving the Lotka-Birch equation. (See Birch, L.
 C. 1948. The intrinsic rate of natural increase of an insect population. -
 Journal of Animal Ecology 17: 15-26) <doi:10.2307/1605>.

Package: r-cran-petrinetr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-visnetwork, r-cran-diagrammer, r-cran-xml2, r-cran-purrr, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-petrinetr_0.3.0-1.ca2004.1_all.deb
Size: 71380
MD5sum: 9a80e91bdeed70cb7b1deb804edc0ac1
SHA1: 60a35237f6583430e10d6c93809504d0661e894c
SHA256: 2914727bc62daba6460483d90f7526222679c4b42b973d628dc750f9c12649e8
SHA512: 4afbd03251f58c516068338de4fdc44cf4ce0068b0ba855a5e7aea1e8920a6682badef53447e4ea608f7b48a18b5dfb95fcfdd2b6b4fb3bc70050d156e4709a8
Homepage: https://cran.r-project.org/package=petrinetR
Description: CRAN Package 'petrinetR' (Building, Visualizing, Exporting and Replaying Petri Nets)
 Functions for the construction of Petri Nets. Petri Nets can be replayed by
 firing enabled transitions.  Silent transitions will be hidden by the
 execution handler. Also includes functionalities for the visualization of
 Petri Nets and export of Petri Nets to PNML (Petri Net Markup Language)
 files.

Package: r-cran-pewdata
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 853
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rselenium, r-cran-foreign, r-cran-magrittr, r-cran-purrr, r-cran-rio, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pewdata_0.3.2-1.ca2004.1_all.deb
Size: 574732
MD5sum: dc946f2eba993984988e1fc36ee1f093
SHA1: 45d614c3813859a08ba287e6366b0d8dfca14f42
SHA256: f252c7549b79c285321fbdb853093b29d8f9036e3f68a3ea44b59b2cc030338d
SHA512: 94d57890092e0dad38b4ee9c5d59b6f5a952b2f8752b9ad28ffb0989a8d8ce021f9e5e28665d8059acff8d1eab8a9021695cb39ac40d3b15eda5fb0939c63064
Homepage: https://cran.r-project.org/package=pewdata
Description: CRAN Package 'pewdata' (Reproducible Retrieval of Pew Research Center Datasets)
 Reproducible, programmatic retrieval of survey datasets from the Pew
 Research Center.

Package: r-cran-pez
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ape, r-cran-caper, r-cran-picante, r-cran-quantreg, r-cran-mvtnorm, r-cran-vegan, r-cran-ade4, r-cran-fd, r-cran-matrix, r-cran-animation, r-cran-phytools
Suggests: r-cran-knitr, r-cran-lme4, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-pez_1.2-4-1.ca2004.1_all.deb
Size: 828088
MD5sum: d017f277cc5335b3c8bfe3c60869f95a
SHA1: a6809b217238156a7b3843c42d51fbd104f8ea2c
SHA256: 8300b0d9d441116477fb7b1b98b089417899b5b9d6c8f18c697e0d360738d944
SHA512: 5b3348325fe6769a3857e32477fa4bc43f20311d746d963bee1e226411446f0bdc06d0eb6dc70bee1e319b7460e2aaa4160e6dd16750d1c1afc571ee7954f574
Homepage: https://cran.r-project.org/package=pez
Description: CRAN Package 'pez' (Phylogenetics for the Environmental Sciences)
 Eco-phylogenetic and community phylogenetic analyses.  Keeps community
 ecological and phylogenetic data matched up and comparable using
 'comparative.comm' objects. Wrappers for common community phylogenetic
 indices ('pez.shape', 'pez.evenness', 'pez.dispersion', and
 'pez.dissimilarity' metrics). Implementation of Cavender-Bares (2004)
 correlation of phylogenetic and ecological matrices
 ('fingerprint.regression'). Phylogenetic Generalised Linear Mixed Models
 (PGLMMs; 'pglmm') following Ives & Helmus (2011) and Rafferty & Ives (2013).
 Simulation of null assemblages, traits, and phylogenies ('scape',
 'sim.meta.comm').

Package: r-cran-pfa
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-poet, r-cran-quantreg
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-pfa_1.1-1.ca2004.1_all.deb
Size: 59356
MD5sum: 3290440a7d00b97490372cd873d702d4
SHA1: 6e4986d8d7ead01d61c857aedd7169f409298f57
SHA256: 89c016c079bd3e73732d90177b60cf6c6fd4cb029cc2cda036e1fb9f9a492d3a
SHA512: 8b64666f5ab11542392d3365ebfff8a9cc296a03df481556034523be5d9a3805dd33f07c52af28fca8390bf955d1a1f8d90a0508580939e7cb49ee99385f2a2d
Homepage: https://cran.r-project.org/package=pfa
Description: CRAN Package 'pfa' (Estimates False Discovery Proportion Under Arbitrary CovarianceDependence)
 Estimate the false discovery proportion (FDP) by Principal Factor
 Approximation method with general known and unknown covariance dependence.

Package: r-cran-pfica
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fda, r-cran-expm, r-cran-whitening
Filename: pool/dists/focal/main/r-cran-pfica_0.1.3-1.ca2004.1_all.deb
Size: 46012
MD5sum: 93d708fe1baae551c5d9632ae0523dba
SHA1: aa19a35aa94394cfa880951ec79ab957e93698e7
SHA256: d03c08752712e1927d23def7e884203fcc0639f0513397661293f07e5bf17179
SHA512: cae1989e172026a6f0dd5ef925af09fc2d88e6151ba6616e1f05f9a80d6d390bffeb242e22b068e111cf72b46d764b67ecba3637afdac05a961fb7e1c7b1566a
Homepage: https://cran.r-project.org/package=pfica
Description: CRAN Package 'pfica' (Independent Components Analysis Techniques for Functional Data)
 Performs smoothed (and non-smoothed) principal/independent components
 analysis of functional data. Various functional pre-whitening approaches are
 implemented as discussed in Vidal and Aguilera (2022) “Novel whitening
 approaches in functional settings", <doi:10.1002/sta4.516>. Further
 whitening representations of functional data can be derived in terms of a
 few principal components, providing an avenue to explore hidden structures
 in low dimensional settings: see Vidal, Rosso and Aguilera (2021)
 “Bi-smoothed functional independent component analysis for EEG artifact
 removal”, <doi:10.3390/math9111243>.

Package: r-cran-pfim
Architecture: all
Version: 6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-inline, r-cran-desolve, r-cran-deriv, r-cran-scales, r-cran-devtools, r-cran-ggplot2, r-cran-matrix, r-cran-pracma, r-cran-stringr, r-cran-rcpp, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-pfim_6.1-1.ca2004.1_all.deb
Size: 1406760
MD5sum: 6ebdd93c389acf6add352fe497203f3a
SHA1: ff7c35517938e67ec2e67ebdf04c5aa6c7e6f96a
SHA256: d999edc21d5a9adb6c1778d2a4a723bb91e11a45d4eb47e6c0af5e16eda1f0ec
SHA512: 2b15471d6c7f6851bdd6cd2c1aa338e2c82c4cbfdaa178ba82c4aaf789698bc55bc2a7978d8dd4945d481c2073f6f55082c66fa23cb99f50a537e09786922111
Homepage: https://cran.r-project.org/package=PFIM
Description: CRAN Package 'PFIM' (Population Fisher Information Matrix)
 Evaluate or optimize designs for nonlinear mixed effects models using the
 Fisher Information matrix. Methods used in the package refer to Mentré F,
 Mallet A, Baccar D (1997) <doi:10.1093/biomet/84.2.429>, Retout S, Comets E,
 Samson A, Mentré F (2007) <doi:10.1002/sim.2910>, Bazzoli C, Retout S,
 Mentré F (2009) <doi:10.1002/sim.3573>, Le Nagard H, Chao L, Tenaillon O
 (2011) <doi:10.1186/1471-2148-11-326>, Combes FP, Retout S, Frey N, Mentré F
 (2013) <doi:10.1007/s11095-013-1079-3> and Seurat J, Tang Y, Mentré F,
 Nguyen TT (2021) <doi:10.1016/j.cmpb.2021.106126>.

Package: r-cran-pflr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-mass, r-cran-flare, r-cran-psych, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-pflr_1.1.0-1.ca2004.1_all.deb
Size: 131524
MD5sum: 067a4b68d7d8db026c9816c1a810f5a7
SHA1: 9488b7867c647dda0040747ae4a71c96c36921b2
SHA256: 1e5c52aa7a023db1658b5228bd731ac13b88925f16f61b7956c3b77fe6b6cc1d
SHA512: f70e19b85e086fd0e38385dcac6e6026c6318632ddfc865547c4e907c579dbe2592fd8d85fd87adf655bf8e10ed561d28591f2753d1aafa15d73d61c4c8d1e58
Homepage: https://cran.r-project.org/package=PFLR
Description: CRAN Package 'PFLR' (Estimating Penalized Functional Linear Regression)
 Implementation of commonly used penalized functional linear regression
 models, including the Smooth and Locally Sparse (SLoS) method by Lin et al.
 (2016) <doi:10.1080/10618600.2016.1195273>, Nested Group bridge Regression
 (NGR) method by Guan et al. (2020) <doi:10.1080/10618600.2020.1713797>,
 Functional Linear Regression That's interpretable (FLIRTI) by James et al.
 (2009) <doi:10.1214/08-AOS641>, and the Penalized B-spline regression
 method.

Package: r-cran-pfr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-inline, r-cran-rstudioapi
Suggests: r-cran-bh, r-cran-rcpp, r-cran-rcppeigen, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pfr_1.0.1-1.ca2004.1_all.deb
Size: 94856
MD5sum: 7a60466e42904d0732ce043399a5c252
SHA1: 03622477bc9e74c924fad0360c84e6aee9acd077
SHA256: c2b98f33b09c6eacb316e6528cf8d6c8d6da58114a1a105a252766acdb9484a5
SHA512: a5d5dd924a45133fe0917de72ba8a37d46055ff29fb5163913c703112bc296d52c92e11e71c00c575df2fe30611fe93a7bf14fd9c58784483925577fafcdc2a7
Homepage: https://cran.r-project.org/package=pfr
Description: CRAN Package 'pfr' (Interface to the 'C++' Library 'Pf')
 Builds and runs 'c++' code for classes that encapsulate state space model,
 particle filtering algorithm pairs.  Algorithms include the Bootstrap Filter
 from Gordon et al. (1993) <doi:10.1049/ip-f-2.1993.0015>, the generic SISR
 filter, the Auxiliary Particle Filter from Pitt et al (1999)
 <doi:10.2307/2670179>, and a variety of Rao-Blackwellized particle filters
 inspired by Andrieu et al. (2002) <doi:10.1111/1467-9868.00363>. For more
 details on the 'c++' library 'pf', see Brown (2020)
 <doi:10.21105/joss.02599>.

Package: r-cran-pgagev
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lambertw
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pgagev_0.1.0-1.ca2004.1_all.deb
Size: 20476
MD5sum: 694ca9047c2567c7b861d38f36cae76b
SHA1: 720ee5ae22fef51be291e4ef9c8735403d88230d
SHA256: cb543bc3988890effc1fa9241b67262255e9788ab411e2f48fcb8b69494cd80b
SHA512: 3fed4eb4c7d48b367c8031909c729306fe9dbcaeb16688307b1d4565adffb43b51c0210a8b3d6f63b5a0a96538e708ec2904f9f4e10826a8741c890d380676e2
Homepage: https://cran.r-project.org/package=PGaGEV
Description: CRAN Package 'PGaGEV' (Power Garima-Generalized Extreme Value Distribution)
 Density, distribution function, quantile function, and random generation
 function based on Kittipong Klinjan,Tipat Sottiwan and Sirinapa Aryuyuen
 (2024)<DOI:10.28919/cmbn/8833>.

Package: r-cran-pgee
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-pgee_1.5-1.ca2004.1_all.deb
Size: 198184
MD5sum: 4f6f9465ab229ef271d88bdfc1f09b5c
SHA1: 532b56c6902368d4f7cc21325837f872f983889a
SHA256: 773745f14a92394a6df432a696a7dd371c0ade7cad890b8c76387f19f2f9cbb7
SHA512: e9ec93462f541d7ff0f916fdf589b22008558711e8e8d8a1ed672ed041a62fdc3c5e8a4efb2e6b72202922145cc194f8cedd0aa723c004be5ddf237592fc6a90
Homepage: https://cran.r-project.org/package=PGEE
Description: CRAN Package 'PGEE' (Penalized Generalized Estimating Equations in High-Dimension)
 Fits penalized generalized estimating equations to longitudinal data with
 high-dimensional covariates.

Package: r-cran-pgirmess
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-sf, r-cran-sp, r-cran-spdep
Suggests: r-cran-mass, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-pgirmess_2.0.3-1.ca2004.1_all.deb
Size: 202996
MD5sum: d478a5285e442ce071abd91b7d0c5e0a
SHA1: 8e536bbd5eb83cc2bcedd8e648822dc08adcb200
SHA256: 0bd70f3f47e15a4c24bcf7ab10ca673b524cff97e47631a38fb9d5b3d02e5410
SHA512: b42fdb5776cf02f2b16d859b246ba622ff254b9b523dbfeed0d2e82c4c9abb51dd58ee40ad16d83ae204539dbd42578d09464e8cb49d78d6b310d1f255b75942
Homepage: https://cran.r-project.org/package=pgirmess
Description: CRAN Package 'pgirmess' (Spatial Analysis and Data Mining for Field Ecologists)
 Set of tools for reading, writing and transforming spatial and seasonal
 data, model selection and specific statistical tests for ecologists. It
 includes functions to interpolate regular positions of points between
 landmarks, to discretize polylines into regular point positions, link
 distant observations to points and convert a bounding box in a spatial
 object. It also provides miscellaneous functions for field ecologists such
 as spatial statistics and inference on diversity indexes, writing data.frame
 with Chinese characters.

Package: r-cran-pglm
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-plm, r-cran-statmod, r-cran-formula
Suggests: r-cran-lmtest, r-cran-car
Filename: pool/dists/focal/main/r-cran-pglm_0.2-3-1.ca2004.1_all.deb
Size: 330636
MD5sum: 58111178d16dbc51185987f4c5238522
SHA1: fe5d79d561bfbb9d92d94dd926242ba34e541057
SHA256: 325430cc0668921599822a5f5f37e6a9470e461a9b7ac5616f3e2bfe0a7eb5ca
SHA512: 609369ce3223a700574f07c723e904e0a14916f6b7c7d1b9d96f66020b542179baa144e7fc14e1e4184516e4d32de6688c8a30b84d09fe7b2e439357e60ac892
Homepage: https://cran.r-project.org/package=pglm
Description: CRAN Package 'pglm' (Panel Generalized Linear Models)
 Estimation of panel models for glm-like models: this includes binomial
 models (logit and probit), count models (poisson and negbin) and ordered
 models (logit and probit), as described in: Baltagi (2013) Econometric
 Analysis of Panel Data, ISBN-13:978-1-118-67232-7, Hsiao (2014) Analysis of
 Panel Data <doi:10.1017/CBO9781139839327> and Croissant and Millo (2018),
 Panel Data Econometrics with R, ISBN:978-1-118-94918-4.

Package: r-cran-pgm2
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pgm2_1.2-1.ca2004.1_all.deb
Size: 31640
MD5sum: c01935426c4bd366340496ed379ab668
SHA1: 849ad50cb736188ab8405dbfb01ed19147baed65
SHA256: ef8e2204edc5834696b6e5c6b0cfe51fdff8e802463d0eb3c686fbede87f133d
SHA512: ad20de9e3c011735d0c4671ac63157604d83517e58ed43988e05af778bb3c6404085fb858b397555aae70973211a3c9ebdfaed304acf21849d84521840ee3cf8
Homepage: https://cran.r-project.org/package=PGM2
Description: CRAN Package 'PGM2' (Recursive Construction of Nested Resolvable Designs andAssociated Uniform Designs)
 Implements recursive construction methods for balanced incomplete block
 designs (BIBDs), their second generation, resolvable BIBDs (RBIBDs), and
 uniform designs (UDs) derived from projective geometries over GF(2). It
 enables extraction of nested structures in multiple stages and supports
 recursive resolution processes, as introduced in Boudraa et al. (2013).

Package: r-cran-pgnorm
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pgnorm_2.0-1.ca2004.1_all.deb
Size: 64684
MD5sum: d396386a9e4e6d8651dc583f469668f2
SHA1: 7c10d40412935299c231a05555cfbfe86f0baf5f
SHA256: 2516b91be5c3425e5d84ee38775fc36cceef0147d74bd4bd7c307bbfb8268c7a
SHA512: 1603d8a3db9fdb03f31da88d9d29a819050169df7dddf9bb0666bf31bb9ed3fffcb82ebaaa938d20591e097702003bfc66f99d5c45ef8ed9aeb73675a7175315
Homepage: https://cran.r-project.org/package=pgnorm
Description: CRAN Package 'pgnorm' (The p-Generalized Normal Distribution)
 Evaluation of the pdf and the cdf of the univariate, noncentral,
 p-generalized normal distribution. Sampling from the univariate, noncentral,
 p-generalized normal distribution using either the p-generalized polar
 method, the p-generalized rejecting polar method, the Monty Python method,
 the Ziggurat method or the method of Nardon and Pianca. The package also
 includes routines for the simulation of the bivariate, p-generalized uniform
 distribution and the simulation of the corresponding angular distribution.

Package: r-cran-pgraph
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sam, r-cran-energy, r-cran-glasso, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-pgraph_1.6-1.ca2004.1_all.deb
Size: 32932
MD5sum: d63aa747a662f7d3c8ffc03d898f8967
SHA1: 9c2a6ea55a5bad5d8c5f218c7d0be7e3beffb3cd
SHA256: a4f37b1033446eedbf97b352e688b7a3697fd553c7f3e8aa595f36734e6b8852
SHA512: 754b9cd623b6ca9cedff822aebaef200600e81eeb27e808dc4c7404964921f98d573f0d06cf2f76b430490de7ccd5062835f92390b2f17e8e8bceb7e54e087b0
Homepage: https://cran.r-project.org/package=pgraph
Description: CRAN Package 'pgraph' (Build Dependency Graphs using Projection)
 Implements a general framework for creating dependency graphs using
 projection as introduced in Fan, Feng and Xia (2019)<arXiv:1501.01617>. Both
 lasso and sparse additive model projections are implemented. Both Pearson
 correlation and distance covariance options are available to generate the
 graph.

Package: r-cran-pgrn
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bigmemory, r-cran-doparallel, r-cran-dtw, r-cran-foreach, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-lmtest, r-cran-proxy, r-cran-tidygraph, r-cran-visnetwork, r-cran-future
Suggests: r-cran-knitr, r-cran-webshot, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pgrn_0.3.5-1.ca2004.1_all.deb
Size: 209760
MD5sum: 8d1f12c31c728a27dc162e61d5734a50
SHA1: b544ceeeb03a823249ab19385e5154aac93208f2
SHA256: c879321d2662edb49e87e4168511b68a7c88ddb83ef3aaf8aafdf366e50b7021
SHA512: 8f4a08fa837270f91f5fc94615c02dc069c6281c2b6c7e888b0a2902b1088bf4fd383470c8622e72db1d07f4453f621f2fa30028ab2dc8f988c50761ffb9e9f5
Homepage: https://cran.r-project.org/package=pGRN
Description: CRAN Package 'pGRN' (Single-Cell RNA Sequencing Pseudo-Time Based Gene RegulatoryNetwork Inference)
 Inference and visualize gene regulatory network based on single-cell RNA
 sequencing pseudo-time information.

Package: r-cran-pgtools
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-toolbox, r-cran-dbi, r-cran-odbc, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-pgtools_1.0.2-1.ca2004.1_all.deb
Size: 133452
MD5sum: 97cc30d6b8526860b7b0fddc4ec13c42
SHA1: ee423995f2768991d897e0cf9d60a485b8079f74
SHA256: 7198ee37b98dd97f940074367c671bc6e62810cf7ef575eb512fd3e351c63e66
SHA512: 52b45a904a64d75982f5b288ba6ded96843e1571beff2f3bd5fa954f061511514e456977819f8229bcc62d216ac5ff1f30363954a9cff3f7687b19447325e4ed
Homepage: https://cran.r-project.org/package=pgTools
Description: CRAN Package 'pgTools' (Functions for Generating PostgreSQL Statements/Scripts)
 Create PostgreSQL statements/scripts from R, optionally executing the SQL
 statements.  Common SQL operations are included, although not every
 configurable option is available at this time.  SQL output is intended to be
 compliant with PostgreSQL syntax specifications. PostgreSQL documentation is
 available here <https://www.postgresql.org/docs/current/index.html>.

Package: r-cran-pguimp
Architecture: all
Version: 0.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-dt, r-cran-datavisualizations, r-cran-dbscan, r-cran-dplyr, r-cran-e1071, r-cran-finalfit, r-cran-ggplot2, r-cran-ggthemes, r-cran-hmisc, r-cran-magrittr, r-cran-mass, r-cran-rweka, r-cran-vim, r-cran-bbmle, r-cran-gridextra, r-cran-mice, r-cran-nortest, r-cran-outliers, r-cran-plotly, r-cran-psych, r-cran-purrr, r-cran-rcompanion, r-cran-readr, r-cran-readxl, r-cran-rjava, r-cran-rlang, r-cran-rmarkdown, r-cran-robust, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-writexl
Suggests: r-cran-knitr, r-cran-devtools, r-cran-ellipsis, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-pguimp_0.0.0.3-1.ca2004.1_all.deb
Size: 2161508
MD5sum: 9cfc8ccb044cfcdae8f0633ded9a03f2
SHA1: 70e7103c635012fdb0bf64d68dc54210cb815cec
SHA256: d1fc7f130c62a3bc709365b1748203b9212d48d109a1ff38cfcb3a5ff2477fad
SHA512: ae0e2cb0cc324ec11441bea6e86aa000a62d87074a19fd9320e7bdb53b8abdc001fd747012a289299d7b570a411591784766c6a7cf67935e126f0d9d57a1723b
Homepage: https://cran.r-project.org/package=pguIMP
Description: CRAN Package 'pguIMP' ('pguIMP')
 Reproducible cleaning of bio-medical laboratory data using methods of
 visualization,error correction and transformation implemented as interactive
 R-notebooks.

Package: r-cran-ph1xbar
Architecture: all
Version: 0.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-forecast, r-cran-mvtnorm, r-cran-pracma, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-ph1xbar_0.11.3-1.ca2004.1_all.deb
Size: 82176
MD5sum: 5fbf484ebc69c7a85f25b26ff0281704
SHA1: b38cede95290d5ad6513fceea65f083eed001723
SHA256: bb2d43a90eaf4e3f55a003a8b7d048be89f55fc0916122980219fbd7c7448c20
SHA512: 91e6fe1facc7c9c877c330bf3aa8ae893064b71a30f1aaadc7ad63c66f9698723d344ec0ac55062d3c9c7f10fdd490b8a594cd6c8cdd347360373a7d747e63b0
Homepage: https://cran.r-project.org/package=PH1XBAR
Description: CRAN Package 'PH1XBAR' (Phase I Shewhart X-Bar Chart)
 The purpose of 'PH1XBAR' is to build a Phase I Shewhart control chart for
 the basic Shewhart, the variance components and the ARMA models in R for
 subgrouped and individual data. More details can be found: Yao and
 Chakraborti (2020) <doi: 10.1002/qre.2793>, Yao and Chakraborti (2021) <doi:
 10.1080/08982112.2021.1878220>, and Yao et al. (2023) <doi:
 10.1080/00224065.2022.2139783>.

Package: r-cran-ph2mult
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clinfun
Suggests: r-cran-gsdesign, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ph2mult_0.1.1-1.ca2004.1_all.deb
Size: 57012
MD5sum: 64ace8bd703c93d4515e702764dfb6ce
SHA1: 7a0606eed59bcdcbd249bc8d5d59e36177930af8
SHA256: b80a2a4a2a232d77b2b7d6eb90d748e45a783126afd489cac99e5e8416117fb3
SHA512: 4629ae89827824189ba899d6406f178798de1d4e559c8b3f3e20b500ad14b28d6f0697bff3d06b280329a7c520dcf3878b9bcdd4447b1a527c14a23ee7c2b31e
Homepage: https://cran.r-project.org/package=ph2mult
Description: CRAN Package 'ph2mult' (Phase II Clinical Trial Design for Multinomial Endpoints)
 Provide multinomial design methods under intersection-union test (IUT) and
 union-intersection test (UIT) scheme for Phase II trial. The design types
 include : Minimax (minimize the maximum sample size), Optimal (minimize the
 expected sample size), Admissible (minimize the Bayesian risk) and Maxpower
 (maximize the exact power level).

Package: r-cran-phagecocktail
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-readxl, r-cran-stringr, r-cran-factoextra, r-cran-bipartite, r-cran-smerc, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-phagecocktail_1.0.3-1.ca2004.1_all.deb
Size: 67828
MD5sum: 6c460108dfeef212edca6ed6c50b4edc
SHA1: b533ed040b3a5f8d8f9840d44c9f5c038c2ba07b
SHA256: e02001ec52e0a843cd69805187f14fbf5416e133f0dfa4860b1c2bdebecc29c9
SHA512: cf813dbba0a5ac6f606bb02aaa95734f21010f3f34bdace9061aa6db0ec3c69c0e14e07946f62fa810e1bfcf5bdbd6c23e8ab6de30639352c16783a676256b4b
Homepage: https://cran.r-project.org/package=PhageCocktail
Description: CRAN Package 'PhageCocktail' (Design of the Best Phage Cocktail)
 There are 4 possible methods: "ExhaustiveSearch"; "ExhaustivePhi";
 "ClusteringSearch"; and "ClusteringPhi".  "ExhaustiveSearch"--> gives you
 the best phage cocktail from a phage-bacteria infection network. It checks
 different phage cocktail sizes from 1 to 7 and only stops before if it lyses
 all bacteria. Other option is when users have decided not to obtain a phage
 cocktail size higher than a limit value.  "ExhaustivePhi"--> firstly, it
 finds Phi out. Phi is a formula indicating the necessary phage cocktail
 size. Phi needs nestedness temperature and fill, which are internally
 calculated. This function will only look for the best combination (phage
 cocktail) with a Phi size.  "ClusteringSearch"--> firstly, an agglomerative
 hierarchical clustering using Ward's algorithm is calculated for phages.
 They will be clustered according to bacteria lysed by them. PhageCocktail()
 chooses how many clusters are needed in order to select 1 phage per cluster.
 Using the phages selected during the clustering, it checks different phage
 cocktail sizes from 1 to 7 and only stops before if it lyses all bacteria.
 Other option is when users have decided not to obtain a phage cocktail size
 higher than a limit value.  "ClusteringPhi"--> firstly, an agglomerative
 hierarchical clustering using Ward's algorithm is calculated for phages.
 They will be clustered according to bacteria lysed by them. PhageCocktail()
 chooses how many clusters are needed in order to select 1 phage per cluster.
 Once the function has one phage per cluster, it calculates Phi. If the
 number of clusters is less than Phi number, it will be changed to obtain, as
 minimum, this quantity of candidates (phages). Then, it calculates the best
 combination of Phi phages using those selected during the clustering with
 Ward algorithm.  If you use PhageCocktail, please cite it as:
 "PhageCocktail: An R Package to Design Phage Cocktails from Experimental
 Phage-Bacteria Infection Networks". María Victoria Díaz-Galián, Miguel A.
 Vega-Rodríguez, Felipe Molina. Computer Methods and Programs in Biomedicine,
 221, 106865, Elsevier Ireland, Clare, Ireland, 2022, pp. 1-9, ISSN:
 0169-2607.  <doi:10.1016/j.cmpb.2022.106865>.

Package: r-cran-phantsem
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3643
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-corpcor, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-phantsem_1.0.0.0-1.ca2004.1_all.deb
Size: 3635932
MD5sum: de5651dee6a38bebc972c349a3bfed63
SHA1: e66e65e9ca9fae027193de70e2ccb0820094cb2e
SHA256: 49bca67d5bdec9d0422017e2327aa417171fdd52834adc0dc86643aa374bf449
SHA512: 30d2fe166941896fda7c882cbf839a4b61ce00201a2b554e7b206375687cfc634c55be81d24d82f496e3a602395895ca72504af6dc0a849883fa15076774b8dd
Homepage: https://cran.r-project.org/package=phantSEM
Description: CRAN Package 'phantSEM' (Create Phantom Variables in Structural Equation Models forSensitivity Analyses)
 Create phantom variables, which are variables that were not observed, for
 the purpose of sensitivity analyses for structural equation models. The
 package makes it easier for a user to test different combinations of
 covariances between the phantom variable(s) and observed variables. The
 package may be used to assess a model's or effect's sensitivity to temporal
 bias (e.g., if cross-sectional data were collected) or confounding bias.

Package: r-cran-pharmartf
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-stringr, r-cran-purrr, r-cran-huxtable
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-readr, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-readxl, r-cran-kableextra, r-cran-plyr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-pharmartf_0.1.4-1.ca2004.1_all.deb
Size: 781208
MD5sum: 20954e040d2aea9ae86ce81514ab8c8d
SHA1: cbef6d38e8f3e0ef6d49958027aacf2764b90add
SHA256: 786641ba6c45b9ec44bd039a55d58ef8b5a03fcb159d1fe5787a71761ce3890f
SHA512: 4124b1ad24e7b01bb1ed796cd101cb522d7fe80c448fd386b9706905490d9478907bb1020723651a9006cff4aed4adf44ce65861f3bdb452060bd191ec35f5f7
Homepage: https://cran.r-project.org/package=pharmaRTF
Description: CRAN Package 'pharmaRTF' (Enhanced RTF Wrapper for Use with Existing Table Packages)
 Enhanced RTF wrapper written in R for use with existing R tables packages
 such as 'Huxtable' or 'GT'. This package fills a gap where tables in certain
 packages can be written out to RTF, but cannot add certain metadata or
 features to the document that are required/expected in a report for a
 regulatory submission, such as multiple levels of titles and footnotes,
 making the document landscape, and controlling properties such as margins.

Package: r-cran-pharmaverse
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pharmaverse_0.0.2-1.ca2004.1_all.deb
Size: 39584
MD5sum: 8a86a39434737a22d39619d2bcbc62cc
SHA1: 3e39daa6366196ca1e9bc5b03d174bc0f776bbd4
SHA256: c247c8d5df2b35fc3cd693aaafd82a1a0ca0e994e1dfc19b8570b9c84231d666
SHA512: b15d326d3e368e4fa1a7135c06c4997066aef5ad14901d8d89d2ea12710af69b2ac45d72645d2808ed5e4bc64c6b20ef02e90e491ed9592d19c196a95746e526
Homepage: https://cran.r-project.org/package=pharmaverse
Description: CRAN Package 'pharmaverse' (Navigate 'Pharmaverse')
 The 'pharmaverse' is a set of packages that compose multiple pathways
 through clinical data generation and reporting in the pharmaceutical
 industry.  This package is designed to guide users to our work-spaces on
 'GitHub', 'Slack' and 'LinkedIn' as well as our website and examples.  Learn
 more about the 'pharmaverse' at <https://pharmaverse.org>.

Package: r-cran-pharmaverseadam
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4081
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-diffdf, r-cran-dt, r-cran-knitr, r-cran-lintr, r-cran-miniui, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-usethis, r-cran-metacore, r-cran-metatools
Filename: pool/dists/focal/main/r-cran-pharmaverseadam_1.1.0-1.ca2004.1_all.deb
Size: 4082804
MD5sum: fb768097f953e8406115046980fd824f
SHA1: d5efda4b60e3bfe051d38e2351ebfbaf3fad8f42
SHA256: 0fdb95449db9477b21dc9cc2c48cbbdb087d9e1e7c6d8de78dad9049809552bf
SHA512: b935deed71e28b16f44c7c7b13060d7831f1fc77efb7c7e5d6fab14d4cd622cc05ac351742884856a29e628bc3fa80ee462fc49f9e43d0a0549ed9547e4ea33d
Homepage: https://cran.r-project.org/package=pharmaverseadam
Description: CRAN Package 'pharmaverseadam' (ADaM Test Data for the 'Pharmaverse' Family of Packages)
 A set of Analysis Data Model (ADaM) datasets constructed using the Study
 Data Tabulation Model (SDTM) datasets contained in the 'pharmaversesdtm'
 package and the template scripts from the 'admiral' family of packages. ADaM
 dataset specifications are described in the CDISC ADaM implementation guide,
 accessible by creating a free account on <https://www.cdisc.org/>.

Package: r-cran-pharmaverseraw
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-lintr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-pharmaversesdtm
Filename: pool/dists/focal/main/r-cran-pharmaverseraw_0.1.0-1.ca2004.1_all.deb
Size: 189984
MD5sum: 795f9887530b4c941cd3024d5f247001
SHA1: 813fe7df586cc91650e860cfc68935d567df57f6
SHA256: fb9ecabed2044ed052cfad03419d16229cb0c1023eb1dae2688a26f1959e1249
SHA512: b31a5e64772119b9ab122de15f562279b8528771b0b19abe1437cdd5b90489372339c9a55307d0c6d4fca23c27ec609e972cc45197a4f21dd3e6908c6eb0bc92
Homepage: https://cran.r-project.org/package=pharmaverseraw
Description: CRAN Package 'pharmaverseraw' (Raw Data for 'pharmaversesdtm' Package)
 A set of raw datasets used to create SDTM domains in 'pharmaversesdtm'
 package.

Package: r-cran-pharmaversesdtm
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2510
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-lintr, r-cran-pkgdown, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-usethis, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pharmaversesdtm_1.2.0-1.ca2004.1_all.deb
Size: 2200696
MD5sum: 2af9de4c8a198ea957f0b9a53b464022
SHA1: 33bc8d73d6028a300abc191fb1c0685c596fd152
SHA256: c7358a993e25b0ff56ebbcaf4940555b83798d5edc1d447c87104a5b303082ae
SHA512: a62d6cc4314b4e0cbbecffc5cb0e589660348cc5e474834e32f27499d10c935f2f8b293ccb380c66a5b88e4bfe4965179884a8bc6bce24515d9127d96e407efc
Homepage: https://cran.r-project.org/package=pharmaversesdtm
Description: CRAN Package 'pharmaversesdtm' (SDTM Test Data for the 'Pharmaverse' Family of Packages)
 A set of Study Data Tabulation Model (SDTM) datasets from the Clinical Data
 Interchange Standards Consortium (CDISC) pilot project used for testing and
 developing Analysis Data Model (ADaM) datasets inside the pharmaverse family
 of packages. SDTM dataset specifications are described in the CDISC SDTM
 implementation guide, accessible by creating a free account on
 <https://www.cdisc.org/>.

Package: r-cran-pharmpow
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4644
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-pharmpow_1.0-1.ca2004.1_all.deb
Size: 704836
MD5sum: 1f0d02ab859684f758ba20b86bc717be
SHA1: 13b177ad6ab2869e5ca928935acd66e711fad158
SHA256: e81c3ba7f31c7e7675267dd8a359d6aaa8370734e60da6d36ff0967a71ed9d99
SHA512: acf7f992b9115eabb2448570c6107247024153c406c02284d0d8bb90d75b80178e21101e459ddb69e6f2ad483031b2ef3b0b97be5d0b963bc3f4e81d693de363
Homepage: https://cran.r-project.org/package=PharmPow
Description: CRAN Package 'PharmPow' (Pharmacometric Power calculations for mixed study designs)
 This package contains functions performing power calculations for mixed
 (sparse/dense sampled) pharmacokinetic study designs. The input data for
 these functions is tailored for NONMEM .phi files.

Package: r-cran-pharmr
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-altair, r-cran-reticulate, r-cran-cli
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-here, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pharmr_1.7.2-1.ca2004.1_all.deb
Size: 600108
MD5sum: f80efb6349b9b19f2a81ba312af841e8
SHA1: 23f6b0a0a8399f4d18028ae71d634b2ed31216c6
SHA256: a0e9cccd8d0aa6ef6f71280b931d8dc100814edeac282ae7c612dad8d3f01cdd
SHA512: ccbdda40bf1b050512e1fc0f643aeffa4bc8d0756b4fd6072892f74b8752a7545035a26c1929ba09ae2606a540b0f917645dc22c8582d44367435fe1b47b6593
Homepage: https://cran.r-project.org/package=pharmr
Description: CRAN Package 'pharmr' (Interface to the 'Pharmpy' 'Pharmacometrics' Library)
 Interface to the 'Pharmpy' 'pharmacometrics' library. The 'Reticulate'
 package is used to interface Python from R.

Package: r-cran-phase1prmd
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-ggplot2, r-cran-rjags, r-cran-arrayhelpers, r-cran-mass, r-cran-reshape2, r-cran-plyr, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-kableextra, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-phase1prmd_1.0.2-1.ca2004.1_all.deb
Size: 186384
MD5sum: 4be5fe40faa60c9e0e2bf8bc328afb15
SHA1: 0f06d0f39d1ef156f68fc87c5a2b7e1d76df426a
SHA256: bb514bb9c5833b1c7ef2805a70c8cad8ee4a02017bcefb1ac9bc56bb54baca76
SHA512: 78ff9cf83add723520ecebef02a7ba42c453faf24723f2d972a8b8a3c37d910ac5333bbf82096fbaea31582e78cf1db4a9735a15e69627a0af92a76ad0db2192
Homepage: https://cran.r-project.org/package=phase1PRMD
Description: CRAN Package 'phase1PRMD' (Personalized Repeated Measurement Design for Phase I ClinicalTrials)
 Implements Bayesian phase I repeated measurement design that accounts for
 multidimensional toxicity endpoints and longitudinal efficacy measure from
 multiple treatment cycles. The package provides flags to fit a variety of
 model-based phase I design, including 1 stage models with or without
 individualized dose modification, 3-stage models with or without
 individualized dose modification, etc. Functions are provided to recommend
 dosage selection based on the data collected in the available patient
 cohorts and to simulate trial characteristics given design parameters.  Yin,
 Jun, et al. (2017) <doi:10.1002/sim.7134>.

Package: r-cran-phase1rmd
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-boot, r-cran-rjags, r-cran-mvtnorm, r-cran-ggplot2, r-cran-arrayhelpers
Suggests: r-bioc-biocparallel
Filename: pool/dists/focal/main/r-cran-phase1rmd_1.0.9-1.ca2004.1_all.deb
Size: 226096
MD5sum: 8158aa9b71953e545db7303258a25042
SHA1: 7d0348620a1bc161691726c418f2d78fae5dbe89
SHA256: cd0ac8a8c0f3d3b25dad7c84ad7fca95047fc9d1c38df152b40db5830ce9ad16
SHA512: 1160eae7696b28b3cb902058100d4a82bd005caf2dd6b89e7218f6e80aa2eded75605d97fc0b91a30e59c7cc3ca1fd2edadc4cefe63f41669a4426954aa7c7c2
Homepage: https://cran.r-project.org/package=phase1RMD
Description: CRAN Package 'phase1RMD' (Repeated Measurement Design for Phase I Clinical Trial)
 Implements our Bayesian phase I repeated measurement design that accounts
 for multidimensional toxicity endpoints from multiple treatment cycles. The
 package also provides a novel design to account for both multidimensional
 toxicity endpoints and early-stage efficacy endpoints in the phase I design.
 For both designs, functions are provided to recommend the next dosage
 selection based on the data collected in the available patient cohorts and
 to simulate trial characteristics given design parameters. Yin, Jun, et al.
 (2017) <doi:10.1002/sim.7134>.

Package: r-cran-phase
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 495
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-circular, r-cran-lubridate, r-cran-plotly, r-cran-pracma, r-cran-signal, r-cran-zeitgebr, r-cran-zoo, r-cran-behavr, r-cran-wesanderson, r-cran-shiny, r-cran-shinythemes, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-shinyfiles
Filename: pool/dists/focal/main/r-cran-phase_1.2.9-1.ca2004.1_all.deb
Size: 391384
MD5sum: 142c7fff2e80fd7b42dd8b59fb607423
SHA1: dde34fc36c4a0efaee731fef6469dee844955e21
SHA256: c9e3de960547c65e76d960d8b1d951f9352e88b72bb859a939956d314aa7616c
SHA512: ac3b1a4fda703c7dde217c76b2f678e3f6a5ce43298c2407c9a4e45290055bc901664728fb1917328c258a049642fa45b31e1fa175c421b0de8eb5794e180d4e
Homepage: https://cran.r-project.org/package=phase
Description: CRAN Package 'phase' (Analyse Biological Time-Series Data)
 Compiles functions to trim, bin, visualise, and analyse activity/sleep
 time-series data collected from the Drosophila Activity Monitor (DAM) system
 (Trikinetics, USA). The following methods were used to compute periodograms
 - Chi-square periodogram: Sokolove and Bushell (1978)
 <doi:10.1016/0022-5193(78)90022-X>, Lomb-Scargle periodogram: Lomb (1976)
 <doi:10.1007/BF00648343>, Scargle (1982) <doi:10.1086/160554> and Ruf (1999)
 <doi:10.1076/brhm.30.2.178.1422>, and Autocorrelation: Eijzenbach et al.
 (1986) <doi:10.1111/j.1440-1681.1986.tb00943.x>. Identification of activity
 peaks is done after using a Savitzky-Golay filter (Savitzky and Golay (1964)
 <doi:10.1021/ac60214a047>) to smooth raw activity data. Three methods to
 estimate anticipation of activity are used based on the following papers -
 Slope method: Fernandez et al. (2020) <doi:10.1016/j.cub.2020.04.025>,
 Harrisingh method: Harrisingh et al. (2007)
 <doi:10.1523/JNEUROSCI.3680-07.2007>, and Stoleru method: Stoleru et al.
 (2004) <doi:10.1038/nature02926>. Rose plots and circular analysis are based
 on methods from - Batschelet (1981) <ISBN:0120810506> and Zar (2010)
 <ISBN:0321656865>.

Package: r-cran-phaser
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2214
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phaser_2.2.1-1.ca2004.1_all.deb
Size: 1499828
MD5sum: 44baf752582d829c0208f0ba93a844b5
SHA1: 3d032157868641701fcf8c4187f879c91f3ff4d6
SHA256: 23367a38b037c26728c0a4b838ecdaf2e18a1460aedff50e77dac87781de4627
SHA512: d4731a8aef93b1b253fac4ece56eacf80301b63d969080fcf5ab1016e4541b7585190c04c416923214af3a3ab360731bab064a4b5e6570c04f52a7621e0d7c47
Homepage: https://cran.r-project.org/package=phaseR
Description: CRAN Package 'phaseR' (Phase Plane Analysis of One- And Two-Dimensional Autonomous ODESystems)
 Performs a qualitative analysis of one- and two-dimensional autonomous
 ordinary differential equation systems, using phase plane methods.  Programs
 are available to identify and classify equilibrium points, plot the
 direction field, and plot trajectories for multiple initial conditions. In
 the one-dimensional case, a program is also available to plot the phase
 portrait. Whilst in the two-dimensional case, programs are additionally
 available to plot nullclines and stable/unstable manifolds of saddle points.
 Many example systems are provided for the user. For further details can be
 found in Grayling (2014) <doi:10.32614/RJ-2014-023>.

Package: r-cran-phasetyper
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1537
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-expm, r-cran-igraph
Suggests: r-cran-knitr, r-cran-partitions, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phasetyper_1.0.4-1.ca2004.1_all.deb
Size: 778844
MD5sum: d01a1b7756b86f756a81ca37827ee86f
SHA1: 8954bf4badea49c3543be82a37a09c3d85204607
SHA256: 676ce1b3998a003def9a6201aa3a1dac46c7506af2217b31089d1f2909124a55
SHA512: 3883c757057f098d833ac7ab2f72e38bce89b1561f29e92145f50a7f288592f9837e03048eb41c429768e29cdffa514d82e49d1fc892d078d966124f64b6ad9d
Homepage: https://cran.r-project.org/package=PhaseTypeR
Description: CRAN Package 'PhaseTypeR' (General-Purpose Phase-Type Functions)
 General implementation of core function from phase-type theory. 'PhaseTypeR'
 can be used to model continuous and discrete phase-type distributions, both
 univariate and multivariate. The package includes functions for outputting
 the mean and (co)variance of phase-type distributions; their density,
 probability and quantile functions; functions for random draws; functions
 for reward-transformation; and functions for plotting the distributions as
 networks. For more information on these functions please refer to Bladt and
 Nielsen (2017, ISBN: 978-1-4939-8377-3) and Campillo Navarro (2019)
 <https://orbit.dtu.dk/en/publications/order-statistics-and-multivariate-discrete-phase-type-distributio>.

Package: r-cran-phater
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4508
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-reticulate, r-cran-ggplot2, r-cran-memoise
Suggests: r-cran-gridgraphics, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-phater_1.0.7-1.ca2004.1_all.deb
Size: 3730084
MD5sum: f4e6004cd7fef3eedb930ef2f428361b
SHA1: a4933b824771927d4c2ea7c5e2f0a4cbc5349f95
SHA256: 62cb566fd4f572f928e988fcee6933e617f65f0ee0e4fb2dde8cb5d27a97f032
SHA512: 5c88cd3a6f3daf776bf567d950f8f30ec99c7e5806c6671765261ecc5cca0b36ae8f4087c818c46d3df86756b2af43766153881bebcbafcc7dec74da6b115c00
Homepage: https://cran.r-project.org/package=phateR
Description: CRAN Package 'phateR' (PHATE - Potential of Heat-Diffusion for Affinity-BasedTransition Embedding)
 PHATE is a tool for visualizing high dimensional single-cell data with
 natural progressions or trajectories. PHATE uses a novel conceptual
 framework for learning and visualizing the manifold inherent to biological
 systems in which smooth transitions mark the progressions of cells from one
 state to another.  To see how PHATE can be applied to single-cell RNA-seq
 datasets from hematopoietic stem cells, human embryonic stem cells, and bone
 marrow samples, check out our publication in Nature Biotechnology at
 <doi:10.1038/s41587-019-0336-3>.

Package: r-cran-phclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phclust_0.1.0-1.ca2004.1_all.deb
Size: 58968
MD5sum: da1ca1fd8048eb83c6dd539f0df14ad5
SHA1: 0d7b641eb8b000e1959109749de538a8169ac252
SHA256: 8889d69fba901dc059c81a494e3324efa907ea56c599593d3a22bcfbe10668cc
SHA512: 1a70f06f46df11e8e1997834ab94e0c8836f31ab45ce294eedc5a2f994c8a458efd085608909562da0da3895ea578d79836a9cdb9eee46b9b18c2a51be120803
Homepage: https://cran.r-project.org/package=PHclust
Description: CRAN Package 'PHclust' (Poisson Hurdle Clustering for Sparse Microbiome Data)
 Clustering analysis for sparse microbiome data, based on a Poisson hurdle
 model.

Package: r-cran-phd
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-phd_0.2-1.ca2004.1_all.deb
Size: 22548
MD5sum: 82b5f8a6ae1a4a6c86c0508dbb419db3
SHA1: 7579fa4f376af823ba529c45b4900ac61bf48a6b
SHA256: 917cbe12e8b1e3a125126ceb145feb673e8ddedb0b4026063f48ec82f8c2b359
SHA512: e2bfc6bd10f5f1663a47a146f7a4a048f669fa90f78e4f941337f1eef9c8370e7b473f71c71e64ee83f15535b5ca3f71d9d738b53db1f7ea8ae95b7e2f5e272d
Homepage: https://cran.r-project.org/package=phd
Description: CRAN Package 'phd' (Permutation Testing in High-Dimensional Linear Models)
 Provides permutation methods for testing in high-dimensional linear models.
 The tests are often robust against heteroscedasticity and non-normality and
 usually perform well under anti-sparsity.  See Hemerik, Thoresen and Finos
 (2021) <doi:10.1080/00949655.2020.1836183>.

Package: r-cran-phdcocktail
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1358
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-here, r-cran-rcolorbrewer, r-cran-rstudioapi, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phdcocktail_0.1.0-1.ca2004.1_all.deb
Size: 1246904
MD5sum: f65ea0fd4404e821b8840336cbbc538e
SHA1: d8f6cf4af51f75c4d44882901cafadc15b3a3fb2
SHA256: bcc517f19011e38494dedfedc06991280a12fbbd9763438508c909010d4e7361
SHA512: 18d8aa9d3739627e95ce5cb9a7d25456dad9f5bd733b732b410abe0c328fb1e1cd13bc0c428aa28ec664c0fdb7a7759f303f1e7bf597646c9488152d50af6f8a
Homepage: https://cran.r-project.org/package=phdcocktail
Description: CRAN Package 'phdcocktail' (Enhance the Ease of R Experience as an Emerging Researcher)
 A toolkit of functions to help: i) effortlessly transform collected data
 into a publication ready format, ii) generate insightful visualizations from
 clinical data, iii) report summary statistics in a publication-ready format,
 iv) efficiently export, save and reload R objects within the framework of R
 projects.

Package: r-cran-pheatmap
Architecture: all
Version: 1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-scales, r-cran-gtable
Filename: pool/dists/focal/main/r-cran-pheatmap_1.0.13-1.ca2004.1_all.deb
Size: 79096
MD5sum: ff156bcbcabd4aaa90a03c06d8542fa1
SHA1: eefa2b9c1a837ab73dd391ae8fde4146600c334c
SHA256: 69a2fe7bbbad28412477b10bf4272ed12d89f2c0bd44af3a558a24f50306e026
SHA512: a702519a190e7297eb11c633db961ebf9d0cad114518e344f04ae27dcecd2fb1fa25dd4b0b2f95ee09b7ba89ea661004c651eb192d174d4b0aaf497799b4e7d4
Homepage: https://cran.r-project.org/package=pheatmap
Description: CRAN Package 'pheatmap' (Pretty Heatmaps)
 Implementation of heatmaps that offers more control over dimensions and
 appearance.

Package: r-cran-pheble
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-adabag, r-cran-c50, r-cran-caret, r-cran-catools, r-cran-data.table, r-cran-doparallel, r-cran-dplyr, r-cran-e1071, r-cran-earth, r-cran-evtree, r-cran-frbs, r-cran-glmnet, r-cran-gmodels, r-cran-hda, r-cran-hdclassif, r-cran-ipred, r-cran-kernlab, r-cran-kknn, r-cran-klar, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-mda, r-cran-mlmetrics, r-cran-nnet, r-cran-party, r-cran-pls, r-cran-randomforest, r-cran-rpartscore, r-cran-sparselda, r-cran-themis
Suggests: r-cran-h2o
Filename: pool/dists/focal/main/r-cran-pheble_0.1.0-1.ca2004.1_all.deb
Size: 693592
MD5sum: 741c8a8dcec05759b9809465841f5060
SHA1: 5657cb8efb4cf5a2f31331d2841c0eef00257081
SHA256: fa0ecf7ddfb9a64b374e8c66313611b943771d546a15fc337d7d3d4e09b9e721
SHA512: d8a93023d7b313894b8458eaecf6620c71e45064294960babbcf7766adb5bdefc5a31164cce5efa4db70df9fcbd3085d46490d349946bea2216ea6e3ec10a4fe
Homepage: https://cran.r-project.org/package=pheble
Description: CRAN Package 'pheble' (Classifying High-Dimensional Phenotypes with Ensemble Learning)
 A system for binary and multi-class classification of high-dimensional
 phenotypic data using ensemble learning. By combining predictions from
 different classification models, this package attempts to improve
 performance over individual learners. The pre-processing, training,
 validation, and testing are performed end-to-end to minimize user input and
 simplify the process of classification.

Package: r-cran-phecap
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4479
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-rmysql
Suggests: r-cran-ggplot2, r-cran-e1071, r-cran-randomforestsrc, r-cran-xgboost, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phecap_1.2.1-1.ca2004.1_all.deb
Size: 3942536
MD5sum: 49406bd850efcdd07482d96664263e6c
SHA1: 89159ef29d0d7c8c636669b5cc99ea049fa515e2
SHA256: c6bc8caf1fb69bb48bf5f56c9710c4f17bc67567b96327f6705c5b1378355d39
SHA512: 04aecbf529d8a71805866516f737ec404246dd9b7f05f28cef9bc3f54483104ba21564948fa3c74ec2af69d6083603845bf6e494a0b2df444fb4f38f75637f1e
Homepage: https://cran.r-project.org/package=PheCAP
Description: CRAN Package 'PheCAP' (High-Throughput Phenotyping with EHR using a Common AutomatedPipeline)
 Implement surrogate-assisted feature extraction (SAFE) and common machine
 learning approaches to train and validate phenotyping models.  Background
 and details about the methods can be found at Zhang et al. (2019)
 <doi:10.1038/s41596-019-0227-6>, Yu et al. (2017)
 <doi:10.1093/jamia/ocw135>, and Liao et al. (2015) <doi:10.1136/bmj.h1885>.

Package: r-cran-phecodemap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2989
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-collapsibletree, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-golem, r-cran-plotly, r-cran-purrr, r-cran-readr, r-cran-rintrojs, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-shinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phecodemap_0.1.0-1.ca2004.1_all.deb
Size: 2523112
MD5sum: 447be806e7b8ccf707c9fbd710bde763
SHA1: e8a5235c9e87dcd382ca878284fdf802b4a08551
SHA256: 5a135921e65f0eafcf12f619d880df98222df4f5a313f3f1ea9b002ed265b6ac
SHA512: 5cf801a8d35e1d598f7c7a245cfa2ed55f75fb3db025a9251dfc0fc33e0d90f12cbc423cdc5b42a4357a8f999bd79e63ae50540d045c562b402b61eb17b56d6a
Homepage: https://cran.r-project.org/package=phecodemap
Description: CRAN Package 'phecodemap' (Visualization for PheCode Mapping with ICD-9 and ICD-10-CM Codes)
 To build a shiny app for visualization of the hierarchy of PheCode Mapping
 with International Classification of Diseases (ICD). The same PheCode
 hierarchy is displayed in two ways: as a sunburst plot and as a tree.

Package: r-cran-pheindicatormethods
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pheindicatormethods_2.1.0-1.ca2004.1_all.deb
Size: 508928
MD5sum: 8ef071db3220f0b490ee75049f8054c2
SHA1: f02e59e0a8c426948bb29ce02ace7c95835f7976
SHA256: e2419ce38a921e604c1332105015f3fb9b5b5b19d44ad41ff498b54fcfb098d9
SHA512: 54899b51b20c9175e1c82ba7da3e0e09694ccc011d9c48337995bddcb179120fc8515d7c00c8728bfc73a3dd5dd7edfdb7ae642725e91e4e70c64edb19761fc3
Homepage: https://cran.r-project.org/package=PHEindicatormethods
Description: CRAN Package 'PHEindicatormethods' (Common Public Health Statistics and their Confidence Intervals)
 Functions to calculate commonly used public health statistics and their
 confidence intervals using methods approved for use in the production of
 Public Health England indicators such as those presented via Fingertips
 (<https://fingertips.phe.org.uk/>). It provides functions for the generation
 of proportions, crude rates, means, directly standardised rates, indirectly
 standardised rates, standardised mortality ratios, slope and relative index
 of inequality and life expectancy.  Statistical methods are referenced in
 the following publications.  Breslow NE, Day NE (1987)
 <doi:10.1002/sim.4780080614>.  Dobson et al (1991)
 <doi:10.1002/sim.4780100317>.  Armitage P, Berry G (2002)
 <doi:10.1002/9780470773666>.  Wilson EB. (1927)
 <doi:10.1080/01621459.1927.10502953>.  Altman DG et al (2000, ISBN:
 978-0-727-91375-3).  Chiang CL. (1968, ISBN: 978-0-882-75200-6).  Newell C.
 (1994, ISBN: 978-0-898-62451-9).  Eayres DP, Williams ES (2004)
 <doi:10.1136/jech.2003.009654>.  Silcocks PBS et al (2001)
 <doi:10.1136/jech.55.1.38>.  Low and Low (2004) <doi:10.1093/pubmed/fdh175>.
 Fingertips Public Health Technical Guide:
 <https://fingertips.phe.org.uk/static-reports/public-health-technical-guidance/>.

Package: r-cran-phenability
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-calibrate
Filename: pool/dists/focal/main/r-cran-phenability_2.0-1.ca2004.1_all.deb
Size: 47352
MD5sum: cbab8b92b12248f175ecdc7d9e117c49
SHA1: 4b1b0f2b2ba0ade299ba50dbd65b854626a8a504
SHA256: c917c9828552005ff462c292cdb630fa6242069f4568b3ab51cff6a863bb9001
SHA512: 5f83dd83e09f9392529b6c011656fcf55f69ce3e0861b8a6c9e617fd37df04c67ed65444fa7889d10d0646517118d59a78d5e9320c29c69e8505fca3113e5aa7
Homepage: https://cran.r-project.org/package=phenability
Description: CRAN Package 'phenability' (Nonparametric Stability Analysis)
 An alternative to carrying out phenotypic adaptability and stability
 analyses, taking into account nonparametric statistics. Can be used as a
 robust approach, less sensitive to departures from common genotypic,
 environmental, and GxE effects data assumptions (e.g., normal distribution
 of errors).

Package: r-cran-phenesse
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-fitdistrplus
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phenesse_0.1.3-1.ca2004.1_all.deb
Size: 46512
MD5sum: c978cc10381c4478f3fe9fec06993ac8
SHA1: 10cc49435fb08e9ccc7597477c4858716147292d
SHA256: ba5e7205d10fa3dfdfc2465b01f57ff6be6dbdd744b0cc3991c44912185eb00d
SHA512: 8e8951efc9b8ca21021c829e9bb9c7035e5f9fe48b8d9062d11253f1e1d65b8cb4e1fa98cd9b5c5d0f4796ebc6b8b6fdb1fc2ff9888a6bc5dc1535aea54d4fb4
Homepage: https://cran.r-project.org/package=phenesse
Description: CRAN Package 'phenesse' (Estimate Phenological Metrics using Presence-Only Data)
 Generates Weibull-parameterized estimates of phenology for any percentile of
 a distribution using the framework established in Cooke (1979)
 <doi:10.1093/biomet/66.2.367>. Extensive testing against other estimators
 suggest the weib_percentile() function is especially useful in generating
 more accurate and less biased estimates of onset and offset (Belitz et al.
 2020) <doi:10.1111/2041-210X.13448>. Non-parametric bootstrapping can be
 used to generate confidence intervals around those estimates, although this
 is computationally expensive. Additionally, this package offers an easy way
 to perform non-parametric bootstrapping to generate confidence intervals for
 quantile estimates, mean estimates, or any statistical function of interest.

Package: r-cran-phenix
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ppcor, r-cran-suppdists
Filename: pool/dists/focal/main/r-cran-phenix_1.3.1-1.ca2004.1_all.deb
Size: 83600
MD5sum: 97d57c782eb3a18b07ac0025411a26ce
SHA1: c88ec353d1914b4f2681b7ca3efa4b0369afe309
SHA256: d11c416bb18fbe94bf6df9ffb014709a38df60ccd54a997f1caf807ae3ab7d13
SHA512: 3a8907b36eb6e07aa7cecebe484ceaf1d88fdf66e05c60482953adbd1da2d42a2bd8e0e1af64a0529957866c8c078f98695a7d58ac6c3a8b1f76a6adaa5e2040
Homepage: https://cran.r-project.org/package=PHENIX
Description: CRAN Package 'PHENIX' (Phenotypic Integration Index)
 Provides functions to estimate the size-controlled phenotypic integration
 index, a novel method by Torices & Méndez (2014) to solve problems due to
 individual size when estimating integration (namely, larger individuals have
 larger components, which will drive a correlation between components only
 due to resource availability that might obscure the observed measures of
 integration). In addition, the package also provides the classical
 estimation by Wagner (1984), bootstrapping and jackknife methods to
 calculate confidence intervals and a significance test for both integration
 indices.

Package: r-cran-phenmodel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-phenmodel_1.0-1.ca2004.1_all.deb
Size: 191688
MD5sum: 5ab64cf121d3d73ef43b7572f6a33264
SHA1: 8e7274ecfa3980fa2d584bc65fbe6e78463aed23
SHA256: 1165c79e302cb8c73923e11257698a506b93c7295743ed6f0ed183ff6aecebbb
SHA512: 1ca1b504b73b0f6f9f2b7ce025c177e2540d60f4f58760010e406c473ee41c18d89fc4bf9bec1e9c0468e2dd0a2da8dbc307072df03caab930283ab6069c070f
Homepage: https://cran.r-project.org/package=phenModel
Description: CRAN Package 'phenModel' (Insect Phenology Model Evaluation Based on Daily Temperatures)
 Generates predicted stage change days for an insect, based on daily
 temperatures and development rate parameters, as developed by Pollard (2014)
 <http://mural.maynoothuniversity.ie/view/ethesisauthor/Pollard=3ACiaran_P=2E=3A=3A.html>.
 A few example datasets are included and implemented for P. vulgatissima, the
 blue willow beetle, but the approach can be readily applied to other species
 that display similar behaviour.

Package: r-cran-phenocamr
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-changepoint, r-cran-httr, r-cran-zoo, r-cran-memoise, r-cran-daymetr, r-cran-modistools
Suggests: r-cran-shiny, r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shinydashboard, r-cran-leaflet, r-cran-plotly, r-cran-dt
Filename: pool/dists/focal/main/r-cran-phenocamr_1.1.5-1.ca2004.1_all.deb
Size: 242632
MD5sum: 5bea22acb5b295423e9b9ed479600364
SHA1: 7f9d161de81d5d36cf1d1667b762ac01551f94b3
SHA256: a8bea76fc4d30e8b187a3de51c830b01494db2297861012617f7dfc145e7889f
SHA512: d7dc42b56cb210e08ad9172a752497f5d0930b72596ac115ceba8e1dda93e2301d570de21d35d87184a145b2dfb57372c27710b823cc9685255f99e22a588faa
Homepage: https://cran.r-project.org/package=phenocamr
Description: CRAN Package 'phenocamr' (Facilitates 'PhenoCam' Data Access and Time SeriesPost-Processing)
 Programmatic interface to the 'PhenoCam' web services
 (<https://phenocam.nau.edu/webcam>).  Allows for easy downloading of
 'PhenoCam' data directly to your R workspace or your computer and provides
 post-processing routines for consistent and easy timeseries outlier
 detection, smoothing and estimation of phenological transition dates.
 Methods for this package are described in detail in Hufkens et. al (2018)
 <doi:10.1111/2041-210X.12970>.

Package: r-cran-phenocdm
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phenocdm_0.1.3-1.ca2004.1_all.deb
Size: 126772
MD5sum: 4a4cf71943c61760aa4126124ecf6014
SHA1: 0cdd4a0efb1c3857cc0527d7ef12468a88dbbede
SHA256: 9c2bf1589bdd0eec685724dce059c579cba84c0727a8c9d3f9c35d54d92808e7
SHA512: cc8657cc9d2e82df0b97c3c64c2b19fefaa8b7bc00898e42ebc03253d07f3a3c4dfa162375faf5cc8e30c8d8842033721f3777e31e36d0f6eb56d58fb815862c
Homepage: https://cran.r-project.org/package=phenoCDM
Description: CRAN Package 'phenoCDM' (Continuous Development Models for Incremental Time-SeriesAnalysis)
 Using the Bayesian state-space approach, we developed a continuous
 development model to quantify dynamic incremental changes in the response
 variable. While the model was originally developed for daily changes in
 forest green-up, the model can be used to predict any similar process. The
 CDM can capture both timing and rate of nonlinear processes. Unlike statics
 methods, which aggregate variations into a single metric, our dynamic model
 tracks the changing impacts over time. The CDM accommodates nonlinear
 responses to variation in predictors, which changes throughout development.

Package: r-cran-phenolocrop
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phenolocrop_0.0.2-1.ca2004.1_all.deb
Size: 27392
MD5sum: 33dc731c6736f475bff21457394e733d
SHA1: 449896b461d876ec4c0f29938263b58aa32fb09b
SHA256: 375c7fbcab917848a890d6451106ae1ffa230a3138f850a907c4e2da738d2307
SHA512: c266a77044daebe3d7b1fb9302633df5c91fa9f038896e2a1bba096a32f642d16b4bc38ce216539613d37151ce5583bbf4efe6fe209698aebf024dad6e2c2eff
Homepage: https://cran.r-project.org/package=phenolocrop
Description: CRAN Package 'phenolocrop' (Time-Series Models to the Crop Phenology)
 Fit a time-series model to a crop phenology data, such as time-series rice
 canopy height.  This package returns the model parameters as the summary
 statistics of crop phenology, and these parameters will be useful to
 characterize the growth pattern of each cultivar and predict
 manually-measured traits, such as days to heading and biomass.  Please see
 Taniguchi et al. (2022) <doi:10.3389/fpls.2022.998803> for detail.  This
 package has been designed for scientific use.  Use for commercial purposes
 shall not be allowed.

Package: r-cran-phenology
Architecture: all
Version: 10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1395
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-numderiv, r-cran-optimx, r-cran-helpersmg
Suggests: r-cran-shiny, r-cran-fields, r-cran-progress, r-cran-car, r-cran-multirng, r-cran-nlwaldtest, r-cran-pbapply, r-cran-cranlogs
Filename: pool/dists/focal/main/r-cran-phenology_10.3-1.ca2004.1_all.deb
Size: 1306856
MD5sum: 36c202821d30759650892d796b55431f
SHA1: 09cd06bdb3eb72eef70411a31196892b73e1f674
SHA256: f7f29004eb4b9ebe8ad4e4c1556a7f68916e3a6716ac22a53641f3647676d907
SHA512: c834df945299ea66e28fb4cb0f927aa747ca9b278ab2720adcd302184dd2eb7070fac7f6521ffff7b2e3124bfb3310eb570f1894788722052af8a9aa9e75b00d
Homepage: https://cran.r-project.org/package=phenology
Description: CRAN Package 'phenology' (Tools to Manage a Parametric Function that Describes Phenologyand More)
 Functions used to fit and test the phenology of species based on counts.
 Based on Girondot, M. (2010) <doi:10.3354/esr00292> for the phenology
 function, Girondot, M. (2017) <doi:10.1016/j.ecolind.2017.05.063> for the
 convolution of negative binomial, Girondot, M. and Rizzo, A. (2015)
 <doi:10.2993/etbi-35-02-337-353.1> for Bayesian estimate, Pfaller JB, ...,
 Girondot M (2019) <doi:10.1007/s00227-019-3545-x> for tag-loss estimate,
 Hancock J, ..., Girondot M (2019) <doi:10.1016/j.ecolmodel.2019.04.013> for
 nesting history, Laloe J-O, ..., Girondot M, Hays GC (2020)
 <doi:10.1007/s00227-020-03686-x> for aggregating several seasons.

Package: r-cran-phenomap
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 900
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-phenex, r-cran-plyr, r-cran-stringr, r-cran-terra, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-phenomap_2.0.1-1.ca2004.1_all.deb
Size: 739524
MD5sum: 7d4cc6bec2a3dbbd36ea3cfccb3da484
SHA1: 39492f6e4fd7e49865fd8749e4725c9d3be57b0b
SHA256: f1282017e33c58ec16a1f70b99d0f218b7dcf0f772cd940e030e6b3191d08330
SHA512: 24693ca180696e91a2608f3b328b4656013a8e8b3561d1940296023e94c6df424e7fa502607e5c9e50cab66362aa4731ac175131bce27a6d4ae8d5e5774a1f6b
Homepage: https://cran.r-project.org/package=phenomap
Description: CRAN Package 'phenomap' (Projecting Satellite-Derived Phenology in Space)
 This takes in a series of multi-layer raster files and returns a phenology
 projection raster, following methodologies described in John (2016)
 <https://etda.libraries.psu.edu/catalog/13521clj5135>.

Package: r-cran-phenopix
Architecture: all
Version: 2.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 757
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-plyr, r-cran-jpeg, r-cran-stringr, r-cran-strucchange, r-cran-foreach, r-cran-doparallel, r-cran-iterators, r-cran-gtools, r-cran-raster, r-cran-sp, r-cran-terra
Filename: pool/dists/focal/main/r-cran-phenopix_2.4.5-1.ca2004.1_all.deb
Size: 729252
MD5sum: 403014d40b5b278e2d52b2e527cde2ff
SHA1: 929dc12966b20edc008e46148c2efca87924c6b3
SHA256: a487ef93256095a7aa8ef071c9d9380a1784eace45202cbfbc72ef022868dbaf
SHA512: b714770742261852e954d99e0fb7cd32c46e95765af7e46c77913735ddc813d0b4cb6b3011846667965be12d7af662b489745984e990c9e5e56626d6714c6a41
Homepage: https://cran.r-project.org/package=phenopix
Description: CRAN Package 'phenopix' (Process Digital Images of a Vegetation Cover)
 A collection of functions to process digital images, depict greenness index
 trajectories and extract relevant phenological stages.

Package: r-cran-phenorm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phenorm_0.1.0-1.ca2004.1_all.deb
Size: 24608
MD5sum: 2e2c646ed30f637782c5023d7123cdea
SHA1: 44b07ffd5b9ed236af429da4d99072dba38761dd
SHA256: 38078f712cc8e75ed818f81fca8864ded6a591ecce02b57d972bff3856b6f253
SHA512: 10dd0d322512a88fec3906f272074ea540bd7cd91dee26c8c1ee294f44b9d2b250079c464aa89a1ae90361a5dc81534fac2c5dab1a1260edce3c26b65dffd97b
Homepage: https://cran.r-project.org/package=PheNorm
Description: CRAN Package 'PheNorm' (Unsupervised Gold-Standard Label Free Phenotyping Algorithm forEHR Data)
 The algorithm combines the most predictive variable, such as count of the
 main International Classification of Diseases (ICD) codes, and other
 Electronic Health Record (EHR) features (e.g. health utilization and
 processed clinical note data), to obtain a score for accurate risk
 prediction and disease classification. In particular, it normalizes the
 surrogate to resemble gaussian mixture and leverages the remaining features
 through random corruption denoising. Background and details about the method
 can be found at Yu et al. (2018) <doi:10.1093/jamia/ocx111>.

Package: r-cran-phenospectra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-writexl, r-cran-dplyr, r-cran-tidyr, r-cran-data.table, r-cran-lubridate, r-cran-openxlsx, r-cran-broom, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phenospectra_0.1.0-1.ca2004.1_all.deb
Size: 484060
MD5sum: 18e148001b2a05999ea402e70719f2ae
SHA1: cd0de53e44a65c6f6848746dfa55e73f9ac97c01
SHA256: 6a491c6b1c9ef43d2206045a749ad5c55c7de40b5fea135f458b654a474c4b55
SHA512: aedf72cf3e59ee03a6225af54fb2343e3ccece50b7fe1af5110f1dc8a42fd70c90ee108d673c639117a44801100d3f6aa35fdde774cfe7c4dbec6a8dc0a6083b
Homepage: https://cran.r-project.org/package=PhenoSpectra
Description: CRAN Package 'PhenoSpectra' (Multispectral Data Analysis and Visualization)
 Provides tools for processing, analyzing, and visualizing spectral data
 collected from 3D laser-based scanning systems. Supports applications in
 agriculture, forestry, environmental monitoring, industrial quality control,
 and biomedical research.  Enables evaluation of plant growth, productivity,
 resource efficiency, disease management, and pest monitoring. Includes
 statistical methods for extracting insights from multispectral and
 hyperspectral data and generating publication-ready visualizations.  See
 Zieschank & Junker (2023) <doi:10.3389/fpls.2023.1141554> and Saric et al.
 (2022) <doi:10.1016/J.TPLANTS.2021.12.003> for related work.

Package: r-cran-phenotype
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-phenotype_0.1.0-1.ca2004.1_all.deb
Size: 37060
MD5sum: a356254ea1eba24b9f01a2a47e15e11b
SHA1: 81b4bc8fcfd7c48c1cf2ee53aaace6e6a60171f8
SHA256: e10271107828fd8c95ada5ab8ada65ab28a2d6498880b357f04d059a7f58fef4
SHA512: fdcd6e70128a2662a90ca4bda29ba392a3b65f213c3b3281584ab477e67e244db79d1b26193af6dea6c3c825f38c911e07cde46b2e2902f529d7d1a3dcdd74dc
Homepage: https://cran.r-project.org/package=Phenotype
Description: CRAN Package 'Phenotype' (A Tool for Phenotypic Data Processing)
 Large-scale phenotypic data processing is essential in research. Researchers
 need to eliminate outliers from the data in order to obtain true and
 reliable results. Best linear unbiased prediction (BLUP) is a standard
 method for estimating random effects of a mixed model. This method can be
 used to process phenotypic data under different conditions and is widely
 used in animal and plant breeding. The 'Phenotype' can remove outliers from
 phenotypic data and performs the best linear unbiased prediction (BLUP),
 help researchers quickly complete phenotypic data analysis. H.P.Piepho.
 (2008) <doi:10.1007/s10681-007-9449-8>.

Package: r-cran-phenotyper
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1279
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-codelistgenerator, r-cran-cohortcharacteristics, r-cran-cohortconstructor, r-cran-cli, r-cran-dplyr, r-cran-incidenceprevalence, r-cran-omopgenerics, r-cran-omopsketch, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-cdmconnector, r-cran-duckdb, r-cran-dbi, r-cran-gt, r-cran-omock, r-cran-testthat, r-cran-knitr, r-cran-visomopresults, r-cran-glue, r-cran-rpostgres, r-cran-patientprofiles, r-cran-ggplot2, r-cran-ggpubr, r-cran-stringr, r-cran-shiny, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-reactable, r-cran-reactablefmtr, r-cran-rsvg, r-cran-sortable, r-cran-shinycssloaders, r-cran-here, r-cran-dt, r-cran-bslib, r-cran-shinywidgets, r-cran-plotly, r-cran-tidyr, r-cran-scales, r-cran-usethis, r-cran-rmarkdown, r-cran-cohortsurvival
Filename: pool/dists/focal/main/r-cran-phenotyper_0.1.6-1.ca2004.1_all.deb
Size: 353972
MD5sum: 2ded9b00e3c7d5e34c8f6fa80a706dc5
SHA1: f0133f6051f86afd7b2fd61631c935b75787d101
SHA256: f5cdd4fede30b019ce01266754783c3ac0f272c40cec0ae859ace3e1e6c3d607
SHA512: 053882154b0946c8f2e1dcb042b022fad3130c9f93326da1f9a4d2e2840d3b12fe89f1d2576fdf04f34e18f0b28426ef63d0ec1966da3177064b642f2d779335
Homepage: https://cran.r-project.org/package=PhenotypeR
Description: CRAN Package 'PhenotypeR' (Assess Study Cohorts Using a Common Data Model)
 Phenotype study cohorts in data mapped to the Observational Medical Outcomes
 Partnership Common Data Model. Diagnostics are run at the database, code
 list, cohort, and population level to assess whether study cohorts are ready
 for research.

Package: r-cran-phenthauproc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-rlang, r-cran-terra
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-phenthauproc_1.1-1.ca2004.1_all.deb
Size: 1064588
MD5sum: 3d3aa17cafe959cbc6053303b01d236f
SHA1: d4daa9bbb4a5a6b42f53d0c37461bcc72cf5be1e
SHA256: 38dfac7c372dd539159bb7039dfdd86cdd38f73d7da04fe200e16927309fb0fb
SHA512: c471138ddbe04a00694a990c24d9afc49bcb1a3c1ef6eec27e85a151008929d83aadaf0fe9b98988275dec93f0cdd2a5fca9273846699622bcdf263a94a6e7d1
Homepage: https://cran.r-project.org/package=PHENTHAUproc
Description: CRAN Package 'PHENTHAUproc' (Phenology Modelling of Thaumetopoea Processionea)
 Methods to calculate and present 'PHENTHAUproc', an early warning and
 decision support system for hazard assessment and control of oak
 processionary moth (OPM) using local and spatial temperature data. It was
 created by Halbig et al. 2024 (<doi:10.1016/j.foreco.2023.121525>) at FVA
 (<https://www.fva-bw.de/en/homepage/>) Forest Research Institute
 Baden-Wuerttemberg, Germany and at BOKU - University of Natural Ressources
 and Life Sciences, Vienna, Austria.

Package: r-cran-phers
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2067
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bedmatrix, r-cran-checkmate, r-cran-data.table, r-cran-foreach, r-cran-iterators, r-cran-survival
Suggests: r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-qs
Filename: pool/dists/focal/main/r-cran-phers_1.0.2-1.ca2004.1_all.deb
Size: 1933448
MD5sum: 19117a9fbf93a9c28d775bb63dffdb9a
SHA1: 1a363058a9de037ec6f0c8f985eea402dae4f579
SHA256: d2a770903858dbb98259504be954ebf406e74c0101d7fa4e39d442ef8e61c599
SHA512: 532016eadd2c336bf82f790ac0f78f4185bfaecc2773aa3dd896a7d7f9048df57a2b8ea1b0b445be422ce79dc70bc15ea9521d752faefe3e1aafb80faa938b39
Homepage: https://cran.r-project.org/package=phers
Description: CRAN Package 'phers' (Calculate Phenotype Risk Scores)
 Use phenotype risk scores based on linked clinical and genetic data to study
 Mendelian disease and rare genetic variants. See Bastarache et al.  2018
 <doi:10.1126/science.aal4043>.

Package: r-cran-pheval
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-pheval_1.1-1.ca2004.1_all.deb
Size: 53256
MD5sum: 5b55ad4acce5663e2ea61ada5fb689b7
SHA1: d0fb64674861cc92a7bf37f9d9cb4d32ac6f4447
SHA256: 2dc7c73bee642c4d00ee2b1fb95849e8fa5a76d5cb10cc4b013a4c76f1e9144f
SHA512: 7bbb2b93c770cd2c9ef02a453303f0705dd0c332c5776d81e8be08588924eb6166c9d3c1d64d8dbf8adb52e461f6a149f3bb0c5f6fc45236b2323e89e81280e3
Homepage: https://cran.r-project.org/package=PHeval
Description: CRAN Package 'PHeval' (Evaluation of the Proportional Hazards Assumption and Test forComparing Survival Curves with a Standardized Score Process)
 Provides tools for the test for the comparison of survival curves, the
 evaluation of the goodness-of-fit and the predictive capacity of the
 proportional hazards model.

Package: r-cran-phi2rho
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-phi2rho_1.0.1-1.ca2004.1_all.deb
Size: 52456
MD5sum: d515db96b65af53f12ad17a7f2df3f96
SHA1: 383f131acd3f5f194511237d6fe50790606f59be
SHA256: 8834e53e87af42ad3b360800b94e8252ca2bc2451688331bdfe0b498cb16750f
SHA512: 7b4f69fd59e9044a773f663947d56e0cc09754c326983495d3585ac2eeae71e0ef944a88f3cdc56011cd79787275d9b9b6fdc460c35c1e9125be7a23e776ea3b
Homepage: https://cran.r-project.org/package=Phi2rho
Description: CRAN Package 'Phi2rho' (Owen's T Function and Bivariate Normal Integral)
 Computes the Owen's T function or the bivariate normal integral using one of
 the following: modified Euler's arctangent series, tetrachoric series, or
 Vasicek's series.  For the methods, see Komelj, J. (2023)
 <doi:10.4236/ajcm.2023.134026> (or reprint <arXiv:2312.00011> with better
 typography) and Vasicek, O. A. (1998) <doi:10.21314/JCF.1998.015>.

Package: r-cran-phia
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-car, r-cran-matrix
Suggests: r-cran-nlme, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-phia_0.3-2-1.ca2004.1_all.deb
Size: 641076
MD5sum: c8037f8ea14ef73c85d006479ab9a9be
SHA1: cc4620f77d99a28baf799b25dfe614eb42e17d20
SHA256: 511aaa661daa81e3f4f653ef5991fcffa04095898a232455205676f7bf7ded32
SHA512: 21fc17f62a7af503a4e8621f3931cbcf273466f0482fd48b6143f185bf1dd699888b6cabb3fcf95ec79af6e599e3de2c0dfc624a509f07dd615632de1510dbb4
Homepage: https://cran.r-project.org/package=phia
Description: CRAN Package 'phia' (Post-Hoc Interaction Analysis)
 Analysis of terms in linear, generalized and mixed linear models, on the
 basis of multiple comparisons of factor contrasts.  Specially suited for the
 analysis of interaction terms.

Package: r-cran-phidelta
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-phidelta_1.0.1-1.ca2004.1_all.deb
Size: 71636
MD5sum: f58aeeeca2774ac6fcb786630b7505d4
SHA1: 2294c1ee53cfd363bdff757c11a4560e31cfcccc
SHA256: 81e842cf36fcddbe7ee28674e59d2ab6b03c2bcff7a94105975b34cfaaed0512
SHA512: f1b33cf5e1c6012d2f5d9c89939761cbf02a087ea030cf40b1f1a0650cc87acf29f06e3617a9e1da6e752d9897af3d255231591403992e89462eebc46be07b99
Homepage: https://cran.r-project.org/package=phiDelta
Description: CRAN Package 'phiDelta' (Tool for Phi Delta Analysis of Features)
 Analysis of features by phi delta diagrams. In particular, functions for
 reading data and calculating phi and delta as well as the functionality to
 plot it. Moreover it is possible to do further analysis on the data by
 generating rankings. For more information on phi delta diagrams, see also
 Giuliano Armano (2015) <doi:10.1016/j.ins.2015.07.028>.

Package: r-cran-philipshue
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-pkgload, r-cran-purrr, r-cran-yaml
Suggests: r-cran-covr, r-cran-dt, r-cran-fs, r-cran-knitr, r-cran-lubridate, r-cran-mockery, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-uuid, r-cran-withr
Filename: pool/dists/focal/main/r-cran-philipshue_1.0.0-1.ca2004.1_all.deb
Size: 66304
MD5sum: 18e279d1b054515aee542ab05e0b83e6
SHA1: 1e357ecff8f1442ae1caa7944f43c4fc4a635d23
SHA256: 6d627643f2a1135176348f34ac14fff78b6b03041b4365c7ab51d72118156577
SHA512: 9d5bd87ea06ca48a980c09e6040a4bd30a058f26d4a946c42ad47099fbf7a1a6a080a0740ca6e333f46f2c5f1d7d590645055722046d5a3cefcfd12107dab068
Homepage: https://cran.r-project.org/package=PhilipsHue
Description: CRAN Package 'PhilipsHue' (R Interface to the Philips Hue API)
 Control Philips Hue smart lighting. Use this package to connect to a Hue
 bridge on your local network (remote authentication not yet supported) and
 control your smart lights through the Philips Hue API. All API V1 endpoints
 are supported. See API documentation at <https://developers.meethue.com/>.

Package: r-cran-phinfiniteestimates
Architecture: all
Version: 2.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-lpsolve, r-cran-coxphf, r-cran-nph, r-cran-rdpack
Suggests: r-cran-kmsurv
Filename: pool/dists/focal/main/r-cran-phinfiniteestimates_2.9.5-1.ca2004.1_all.deb
Size: 164900
MD5sum: 53f0169a3e99ca400fa4456982a92025
SHA1: 0daa7fa463391b761e75b397e576c39cb9fb3161
SHA256: a59bd4c0ccfed7fe585572e48091b3de5c531d460c8b39256ffb3a29cf96f7b4
SHA512: 39c9d296fa36f3def146504eef50bee9b54d48aecc0df403156c41481270c96d4dee8b7dce93260914c7da39ea7e5067a53772574030a79f5a8aafc4656d904c
Homepage: https://cran.r-project.org/package=PHInfiniteEstimates
Description: CRAN Package 'PHInfiniteEstimates' (Tools for Inference in the Presence of a Monotone Likelihood)
 Proportional hazards estimation in the presence of a partially monotone
 likelihood has difficulties, in that finite estimators do not exist.  These
 difficulties are related to those arising from logistic and multinomial
 regression.  References for methods are given in the separate function
 documents.  Supported by grant NSF DMS 1712839.

Package: r-cran-phitestr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phitestr_0.2.0-1.ca2004.1_all.deb
Size: 215716
MD5sum: e4d36c2e87cfaa375280720a1c4df77e
SHA1: 6da678a5e1ca530f7dec19a8ce758191878cc6ea
SHA256: 29cbd0913af6f032ed9ae6119b19589d6e033b97ba71c105e90fa4ccecf57fed
SHA512: 29c9be499952b7592742a91ffb4e5aa06ad3c2c58eb5134d6fd504ac36f1404f45b9aae42f558c49c007d7ba25740e510be10064a776eb0dd8d78c72fa5ac587
Homepage: https://cran.r-project.org/package=PhitestR
Description: CRAN Package 'PhitestR' (Analyzing the Heterogeneity of Single-Cell Populations)
 A bioinformatics method developed for analyzing the heterogeneity of
 single-cell populations. Phitest provides an objective and automatic method
 to evaluate the performance of clustering and quality of cell clusters.

Package: r-cran-phm
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-tm, r-cran-shiny, r-cran-matrix, r-cran-smallstuff, r-cran-nlp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phm_1.1.5-1.ca2004.1_all.deb
Size: 101744
MD5sum: facd978583a2663f3fdff086f69d75b4
SHA1: a084d4911669348049a73ddd2473b39f1f938e97
SHA256: 8b0ea071216869d53522f92f733664ff90738f15d9d0fdf1d28450a9244165a5
SHA512: aa385bdf22cc1223a8b2700c6ec2ee6e599ed4d3c1af3d5bcea7214ad553a6739356672586bd6c2dc826a99bc4522f2e119b825b1ed7881c7c026d3bef6afa27
Homepage: https://cran.r-project.org/package=phm
Description: CRAN Package 'phm' (Phrase Mining)
 Functions to extract and handle commonly occurring principal phrases
 obtained from collections of texts. This package is based on, Small, E., &
 Cabrera, J. (2025). Principal phrase mining, an automated method for
 extracting meaningful phrases from text. International Journal of Computers
 and Applications, 47(1), 84–92.

Package: r-cran-phoenics
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-blme, r-cran-tibble, r-cran-factominer, r-cran-factoextra, r-cran-tidyr
Suggests: r-cran-knitr, r-bioc-keggrest
Filename: pool/dists/focal/main/r-cran-phoenics_0.5-1.ca2004.1_all.deb
Size: 477140
MD5sum: 3b950c60ac9f110d1d3bac837356c9c4
SHA1: 3ba133cd0c59f02539448f38e707ac574f1b7190
SHA256: 62d096689eb660dee869779a8fbe73d9b58ff9a20965226675ccd5edb716142e
SHA512: c1940acd8c1c9b8691fd03e1daa5015148e3d78725610f247cec87a01840149b458c59ca80fa4b667496091dc3fbc30ebca2b695cee9e432fb562ac51b69c277
Homepage: https://cran.r-project.org/package=phoenics
Description: CRAN Package 'phoenics' (Pathways Longitudinal and Differential Analysis in Metabolomics)
 Perform a differential analysis at pathway level based on metabolite
 quantifications and information on pathway metabolite composition.  The
 method is based on a Principal Component Analysis step and on a linear mixed
 model.  Automatic query of metabolic pathways is also implemented.

Package: r-cran-phoenix
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2461
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-qwraps2, r-cran-reticulate, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phoenix_1.1.2-1.ca2004.1_all.deb
Size: 2236928
MD5sum: de64ce4468debc6d55e323533f898dea
SHA1: 07376eb2b01c73ea2474ff8d411f866ad95cb779
SHA256: 73604ef16b0fab148db8b11dfa89d0626c60c20188bb65878d02ffc9a0d1f86d
SHA512: 92423c3721816ae3684a0e44575a769766b92dc4295adace8fea7aa925f6fa332eaf632c610758eabc06369403180355420c65a6c8016c631993efffb559fcbf
Homepage: https://cran.r-project.org/package=phoenix
Description: CRAN Package 'phoenix' (The Phoenix Pediatric Sepsis and Septic Shock Criteria)
 Implementation of the Phoenix and Phoenix-8 Sepsis Criteria as described in
 "Development and Validation of the Phoenix Criteria for Pediatric Sepsis and
 Septic Shock" by Sanchez-Pinto, Bennett, DeWitt, Russell et al. (2024)
 <doi:10.1001/jama.2024.0196> (Drs. Sanchez-Pinto and Bennett contributed
 equally to this manuscript; Dr. DeWitt and Mr.  Russell contributed equally
 to the manuscript), "International Consensus Criteria for Pediatric Sepsis
 and Septic Shock" by Schlapbach, Watson, Sorce, Argent, et al. (2024)
 <doi:10.1001/jama.2024.0179> (Drs Schlapbach, Watson, Sorce, and Argent
 contributed equally) and the application note "phoenix: an R package and
 Python module for calculating the Phoenix pediatric sepsis score and
 criteria" by DeWitt, Russell, Rebull, Sanchez-Pinto, and Bennett (2024)
 <doi:10.1093/jamiaopen/ooae066>.

Package: r-cran-phonenumber
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phonenumber_0.2.3-1.ca2004.1_all.deb
Size: 185676
MD5sum: f8bff04801a49e6b4ae2b73bbcabc941
SHA1: 3f8839720e07c4fa8d60eaf9a777a8a545d061f4
SHA256: cc1f916ef6e93b6ddd647cf05e6aaf9c3cf5a371edbdca266383de2703dde5d2
SHA512: 5dd80aa1c5ec44519d36d0b92b2b3c92b15b87498435b6ec980e774357fa1ec6a0a9895aa957af1a1a64971933f6450215cd32fbff330eca326ad71981eec530
Homepage: https://cran.r-project.org/package=phonenumber
Description: CRAN Package 'phonenumber' (Convert Letters to Numbers and Back as on a Telephone Keypad)
 Convert English letters to numbers or numbers to English letters as on a
 telephone keypad. When converting letters to numbers, a character vector is
 returned with "A," "B," or "C" becoming 2, "D," "E", or "F" becoming 3, etc.
 When converting numbers to letters, a character vector is returned with
 multiple elements (i.e., "2" becomes a vector of "A," "B," and "C").

Package: r-cran-phonetisr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-unicode
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-phonetisr_0.1.0-1.ca2004.1_all.deb
Size: 86264
MD5sum: 535196d0f0c9a5fbb0f59ddd04d5dc1a
SHA1: 5917baf7ac0bef2860d373e7579f41ea5271233f
SHA256: b79ee30e06739789090bd648b572441676b4ff93fc21368cea9dc2696c45683c
SHA512: 474d362202249c1af0a733aee28ccf0a04aa5fb4b1089415004433b83c38151568400dc192bce78d98d69981323813339c67cd1192fcf412b5f97f44e2860f5f
Homepage: https://cran.r-project.org/package=phonetisr
Description: CRAN Package 'phonetisr' (A Naive IPA Tokeniser)
 It provides users with functions to parse International Phonetic Alphabet
 (IPA) transcriptions into individual phones (tokenisation) based on default
 IPA symbols and optional user specified multi-character phones. The
 tokenised transcriptions can be used for obtaining counts of phones or for
 searching for words matching phonetic patterns.

Package: r-cran-phonfieldwork
Architecture: all
Version: 0.0.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2584
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tuner, r-cran-phontools, r-cran-rmarkdown, r-cran-xml2, r-cran-readr, r-cran-mime
Suggests: r-cran-knitr, r-cran-tidyr, r-cran-dplyr, r-cran-dt, r-cran-lingtypology, r-cran-testthat, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-phonfieldwork_0.0.17-1.ca2004.1_all.deb
Size: 960072
MD5sum: e31a0143df192f8f02502f5ee82504ad
SHA1: e3b052956048313040ccb40c3698b796490a202c
SHA256: b8d9b0528782fad181b76ea53b479075c6b16951b9f03f0987249ce43b7e30b8
SHA512: f55beb903230cd557a8d29efb1f92dc48a3b7847e75eba8e67d5e5dacd07ded6ec8f61026d91d3ef0b99b80546c4e0bfc466bf4c1fbcdf3c92b18ab4c26eb182
Homepage: https://cran.r-project.org/package=phonfieldwork
Description: CRAN Package 'phonfieldwork' (Linguistic Phonetic Fieldwork Tools)
 There are a lot of different typical tasks that have to be solved during
 phonetic research and experiments. This includes creating a presentation
 that will contain all stimuli, renaming and concatenating multiple sound
 files recorded during a session, automatic annotation in 'Praat' TextGrids
 (this is one of the sound annotation standards provided by 'Praat' software,
 see Boersma & Weenink 2020 <https://www.fon.hum.uva.nl/praat/>), creating an
 html table with annotations and spectrograms, and converting multiple
 formats ('Praat' TextGrid, 'ELAN', 'EXMARaLDA', 'Audacity', subtitles
 '.srt', and 'FLEx' flextext). All of these tasks can be solved by a mixture
 of different tools (any programming language has programs for automatic
 renaming, and Praat contains scripts for concatenating and renaming files,
 etc.). 'phonfieldwork' provides a functionality that will make it easier to
 solve those tasks independently of any additional tools. You can also
 compare the functionality with other packages: 'rPraat'
 <https://CRAN.R-project.org/package=rPraat>, 'textgRid'
 <https://CRAN.R-project.org/package=textgRid>.

Package: r-cran-phonr
Architecture: all
Version: 1.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-splancs, r-cran-deldir, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-phonr_1.0-7-1.ca2004.1_all.deb
Size: 130584
MD5sum: 5b1b5fc030510bde366f72008106d480
SHA1: e16221b7c983a33d2b1fa663f16a58cd8c105107
SHA256: a20b8d2867c65eb2a597cd62c966a458ab61354d31e1a89430a860994335f386
SHA512: 0d84db97f7906d4f37e3f08af72d98fa4e7e78ece3205e175c704647adca80d5cd5f75719c4ebac9dd7b0d0221783269f10b65fceb2ac93a1aacca4096557bd2
Homepage: https://cran.r-project.org/package=phonR
Description: CRAN Package 'phonR' (Tools for Phoneticians and Phonologists)
 Tools for phoneticians and phonologists, including functions for
 normalization and plotting of vowels.

Package: r-cran-phontools
Architecture: all
Version: 0.2-2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-phontools_0.2-2.2-1.ca2004.1_all.deb
Size: 453760
MD5sum: c3918dfd29254a6b07811bda55ade18a
SHA1: 383e6f839aeb98ac4362e6768a391f1bf74b79fb
SHA256: 7d48cd29ce9a3b01fb62eca84f75b7d6d07137dd87c8ca29e308a13f0d214b0f
SHA512: 6684814c58aabc768976c6e02d0c21c508f9dd84fefdaa7fbdbfac0d1bac67a60dc869fb786d433d21deedc600b3709f2a32ea05b750e14b40319b50aac1de5c
Homepage: https://cran.r-project.org/package=phonTools
Description: CRAN Package 'phonTools' (Tools for Phonetic and Acoustic Analyses)
 Contains tools for the organization, display, and analysis of the sorts of
 data frequently encountered in phonetics research and experimentation,
 including the easy creation of IPA vowel plots, and the creation and
 manipulation of WAVE audio files.

Package: r-cran-phosphoricons
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4922
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools
Suggests: r-cran-covr, r-cran-shiny, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-phosphoricons_0.2.1-1.ca2004.1_all.deb
Size: 2848020
MD5sum: 7ad04682ef8e6631db1401504186cea8
SHA1: d9a48d496bb4700d4e8834240857fadfae8694b5
SHA256: 85415620a8c0569a12171233d9bfa20d2055552e0e7b0523dc837c544a3f16dd
SHA512: 3b2d3c1e3c7256924c6fba05e58cfd49e501f181d56248a7992f55e438dc76d5c4593e853d18764aa7ce244059fb7db2211b50491f1c4125ad1da1f95d60a7f8
Homepage: https://cran.r-project.org/package=phosphoricons
Description: CRAN Package 'phosphoricons' ('Phosphor' Icons for R)
 Use 'Phosphor' icons in 'shiny' applications or 'rmarkdown' documents. Icons
 are available in 5 different weights and can be customized by setting color,
 size, orientation and more.

Package: r-cran-photobiology
Architecture: all
Version: 0.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3998
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-suncalcmeeus, r-cran-polynom, r-cran-tibble, r-cran-stringr, r-cran-lubridate, r-cran-catools, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-splus2r, r-cran-zoo, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-lutz, r-cran-covr
Filename: pool/dists/focal/main/r-cran-photobiology_0.13.1-1.ca2004.1_all.deb
Size: 2889760
MD5sum: 53ec0ba8ccb4ae96445c4184e453341e
SHA1: 822d105ae4cf8eb5acf9b1d736e33a23f75ea262
SHA256: 65cde8f69acbd3ac869a9bed72d80653d183c453d08a0b782493905f09999fb3
SHA512: ad48d194f2d0e296b29a4c85f479d9b8de33eefb38c615b81ad9d4e0aa909dae0cf73b479c599fe75517ed6bb0c30c605f7a43412f63115a9465226f74e902ec
Homepage: https://cran.r-project.org/package=photobiology
Description: CRAN Package 'photobiology' (Photobiological Calculations)
 Definitions of classes, methods, operators and functions for use in
 photobiology and radiation meteorology and climatology. Calculation of
 effective (weighted) and not-weighted irradiances/doses, fluence rates,
 transmittance, reflectance, absorptance, absorbance and diverse ratios and
 other derived quantities from spectral data. Local maxima and minima: peaks,
 valleys and spikes. Conversion between energy-and photon-based units.
 Wavelength interpolation. Astronomical calculations related solar angles and
 day length. Colours and vision. This package is part of the 'r4photobiology'
 suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologyfilters
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1487
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggspectra, r-cran-photobiologywavebands
Filename: pool/dists/focal/main/r-cran-photobiologyfilters_0.6.0-1.ca2004.1_all.deb
Size: 1298544
MD5sum: 66e04ad8854fbb1a6a2678a6484667af
SHA1: 2cfe960545eb7f5e7fe17ba1b9cf567f378a543e
SHA256: 0d1fb50abb9bc82fc62de88c9df09254d707dee253a7b1fa5c20d9112334c4a2
SHA512: 4eb5a5ddd56a777bbcfddc6882b1463d33d4ba48251d3ed9a4ee9d70d04c131ecff966e2c02907d4732a9c8d8d995b154ddf6e17790fe6f455c0fd383a0f2018
Homepage: https://cran.r-project.org/package=photobiologyFilters
Description: CRAN Package 'photobiologyFilters' (Spectral Transmittance and Spectral Reflectance Data)
 Spectral 'transmittance' data for frequently used filters and similar
 materials. Plastic sheets and films; photography filters; theatrical gels;
 machine-vision filters; various types of window glass; optical glass and
 some laboratory plastics and glassware. Spectral reflectance data for
 frequently encountered materials. Part of the 'r4photobiology' suite, Aphalo
 P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologyinout
Architecture: all
Version: 0.4.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3799
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-photobiology, r-cran-suncalcmeeus, r-cran-stringr, r-cran-lubridate, r-cran-anytime, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-readr, r-cran-readxl, r-cran-colorspec, r-cran-jsonlite
Suggests: r-cran-spacesxyz, r-cran-hyperspec, r-cran-pavo, r-cran-fda.usc, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggspectra, r-cran-photobiologywavebands, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-photobiologyinout_0.4.30-1.ca2004.1_all.deb
Size: 1268068
MD5sum: 6bd0dbdc59643b1311e8f78655b90208
SHA1: da4b0991b8a35314e1821be27edd5df7e009a8a3
SHA256: 5597302482f1aa7e47e5f89a93c184811eb77db0c16046edc3f27af4f53f3a6c
SHA512: 74a3a79fcdcd72122fb905840ee955819c556e4f04c084fb87510093e861839bc30f3f4a92e4145cad666b9f85b9494587d09527c22442793444f508ec3bbf43
Homepage: https://cran.r-project.org/package=photobiologyInOut
Description: CRAN Package 'photobiologyInOut' (Read Spectral and Logged Data from Foreign Files)
 Functions for reading, and in some cases writing, foreign files containing
 spectral data from spectrometers and their associated software, output from
 daylight simulation models in common use, and some spectral data
 repositories. As well as functions for exchange of spectral data with other
 R packages. Part of the 'r4photobiology' suite, Aphalo P. J. (2015)
 <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologylamps
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggspectra, r-cran-photobiologywavebands, r-cran-ggplot2, r-cran-photobiologyleds
Filename: pool/dists/focal/main/r-cran-photobiologylamps_0.5.2-1.ca2004.1_all.deb
Size: 530512
MD5sum: 1e8fc9b75d91660a53c4065a6a04a36c
SHA1: 0117195fd4948093236c3e4a00d997c287acd105
SHA256: 95bfec6c36e165e1ef692bfb831dbdb3113ed5abf22c8b6fe30172621bf75d04
SHA512: c60f5130961dc42022a58746113d3dedf85d93bb4f26ac77d170deb744403d22f78ecb16496ad0bb4f3b9b3695c29dc6fd438d342b7d3bae22dfb7baab862e77
Homepage: https://cran.r-project.org/package=photobiologyLamps
Description: CRAN Package 'photobiologyLamps' (Spectral Irradiance Data for Lamps)
 Spectral emission data for some frequently used lamps including bulbs and
 flashlights based on led emitting diodes (LEDs) but excluding LEDs available
 as electronic components. Original spectral irradiance data for
 incandescent-, LED- and discharge lamps are included. They are complemented
 by data on the effect of temperature on the emission by fluorescent tubes.
 Part of the 'r4photobiology' suite, Aphalo P. J. (2015)
 <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologyleds
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 713
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-photobiologywavebands, r-cran-photobiologylamps, r-cran-ggspectra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-photobiologyleds_0.5.2-1.ca2004.1_all.deb
Size: 583024
MD5sum: 39df39388486d24da618c8086363c2be
SHA1: d8d4b8d5f25275c164dca8911f30a5f47e2ebcc6
SHA256: 68281a7f044eca6939d8144f83522f083f46f20bcc7d676f0d9a78f2db4f4f19
SHA512: 57e4acee127b8cc8c5b2f12cb7770cbabdd439b3583ba5a73a9a94b094ee23da0e54dc54b3f5b96f051bd37d70f1a0b6222136b76f513bf70b4dae75e3398e29
Homepage: https://cran.r-project.org/package=photobiologyLEDs
Description: CRAN Package 'photobiologyLEDs' (Spectral Data for Light-Emitting-Diodes)
 Spectral emission data for some frequently used light emitting diodes
 available as electronic components. Part of the 'r4photobiology' suite,
 Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologyplants
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 909
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-photobiology, r-cran-photobiologywavebands
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggspectra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-photobiologyplants_0.6.0-1.ca2004.1_all.deb
Size: 672916
MD5sum: 804d08e06116517729a3e86c0893f338
SHA1: 6e2c486a7031f379af1573a6b9b5d772958f382a
SHA256: 075bdf6ddf4008f392adea0c94520a14a5f23751b2a9d6bd9529ef187f1b86b0
SHA512: 15a903f03ee251e89514717b3ebf4b50adfe7c425636feb6cb3ad6662f5f4d375012bf56cb1158deb84497b97e34c9082c721a8fff066e7d8633b8013648d891
Homepage: https://cran.r-project.org/package=photobiologyPlants
Description: CRAN Package 'photobiologyPlants' (Plant Photobiology Related Functions and Data)
 Provides functions for quantifying visible (VIS) and ultraviolet (UV)
 radiation in relation to the photoreceptors Phytochromes, Cryptochromes, and
 UVR8 which are present in plants. It also includes data sets on the optical
 properties of plants. Part of the 'r4photobiology' suite, Aphalo P. J.
 (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologysensors
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-photobiologywavebands, r-cran-ggspectra, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-photobiologysensors_0.5.1-1.ca2004.1_all.deb
Size: 247316
MD5sum: f53c812ce7282f414e8abce07bb71cc0
SHA1: 917dd1031579a521a132c5a4a76b4f61771e4830
SHA256: 262d649c34d8aaa74d871415a5a5b5cdedf1d9ad1136307f842dc7cd2138570d
SHA512: 399993ad2fa700022490e150116942e6d11f98514079c03480d823faed7fd18f3c016bc4ac5372909e0928d2344cc936fb6d147c7f9cebf133ceed3f9338b7a4
Homepage: https://cran.r-project.org/package=photobiologySensors
Description: CRAN Package 'photobiologySensors' (Response Data for Light Sensors)
 Spectral response data for broadband ultraviolet and visible radiation
 sensors. Angular response data for broadband ultraviolet and visible
 radiation sensors and diffusers used as entrance optics. Data obtained from
 multiple sources were used: author-supplied data from scientific research
 papers, sensor-manufacturer supplied data, and published sensor
 specifications. Part of the 'r4photobiology' suite Aphalo P. J. (2015)
 <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologysun
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3449
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-photobiologywavebands, r-cran-ggspectra, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-photobiologysun_0.5.0-1.ca2004.1_all.deb
Size: 3087872
MD5sum: d322a09c243197d2abdb9cdc1a6b1f03
SHA1: a603256b87f9a73ebfa6ad335731b9fac1da97a8
SHA256: e8b8276dcc8ea580559ef1ec21854aeb10cc763f7144bc0009f8239985c1d9a0
SHA512: 4003c6a5731387e4fe811334dc7aad88cd2b41e12842cd20222cc2ad9fecd15206526787a8631b87dd5c70f088fbe5f56834584565600461bc5608a0073a27ea
Homepage: https://cran.r-project.org/package=photobiologySun
Description: CRAN Package 'photobiologySun' (Data for Sunlight Spectra)
 Data for the extraterrestrial solar spectral irradiance and ground level
 solar spectral irradiance and irradiance. In addition data for shade light
 under vegetation and irradiance time series from different broadband
 sensors.  Part of the 'r4photobiology' suite, Aphalo P. J. (2015)
 <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photobiologywavebands
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-photobiologywavebands_0.5.2-1.ca2004.1_all.deb
Size: 280720
MD5sum: b06419d45353fbf2de262d3431689360
SHA1: a7659ac44c6c50c368412c8a081c3a5691714349
SHA256: 4e0c5ea0b5d50a8eac19bd0b9fbc5a5475472b6548c5dabe7609beca6fbbdc6d
SHA512: 4d7d0be0a3d387060dc458ed7880d05827d3e3ede6d331b8e9cb0e32594120c3f65f00e1f9cae04d94d7c3b1ba035c0c47a34d40d46898845c01e181bc176127
Homepage: https://cran.r-project.org/package=photobiologyWavebands
Description: CRAN Package 'photobiologyWavebands' (Waveband Definitions for UV, VIS, and IR Radiation)
 Constructors of waveband objects for commonly used biological spectral
 weighting functions (BSWFs) and for different wavebands describing named
 ranges of wavelengths in the ultraviolet (UV), visible (VIS) and infrared
 (IR) regions of the electromagnetic spectrum.  Part of the 'r4photobiology'
 suite, Aphalo P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>.

Package: r-cran-photogea
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4288
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-openxlsx, r-cran-lattice, r-cran-dfoptim, r-cran-deoptim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plantecophys, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-photogea_1.3.3-1.ca2004.1_all.deb
Size: 2448328
MD5sum: 5032baf556549900cd00329eab339a0a
SHA1: dab518a8181c854acb0139bb08ccc672937a4387
SHA256: 44a1aa022ae911e192820063075a26fe2162ec8739007e474a5c2bbf7c3667b2
SHA512: 452d4d4c5324ce13ccb633db7f1c01e3b79d62c99894c3ae9886021b371989b151813aa22cdde6aad756f37f4b84beedb37f4914c410c8d4e91b964a21370155
Homepage: https://cran.r-project.org/package=PhotoGEA
Description: CRAN Package 'PhotoGEA' (Photosynthetic Gas Exchange Analysis)
 Read, process, fit, and analyze photosynthetic gas exchange measurements.
 Documentation is provided by several vignettes; also see Lochocki,
 Salesse-Smith, & McGrath (2025) <doi:10.1111/pce.15501>.

Package: r-cran-photon
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-countrycode, r-cran-httr2, r-cran-r6, r-cran-sf, r-cran-processx
Suggests: r-cran-testthat, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-webfakes, r-cran-ps
Filename: pool/dists/focal/main/r-cran-photon_0.3.5-1.ca2004.1_all.deb
Size: 256168
MD5sum: a2ac14a1219ad3a0ddecaecc785e89a6
SHA1: 84639e1d357bc6e3fb4fb9dac479af6f4a2cb869
SHA256: 992c641f8e10dd979d56d7fe573364ef8870dcdd01709c09ee824f3fccebca3c
SHA512: f7493c3acd679a93b70427548b408685752ee1fc287906fc8f3140ce7cd04350c8d45ba7142ff4c7fd7499b2902ffe7a809f1223e88e8d6bf87229964ad25f81
Homepage: https://cran.r-project.org/package=photon
Description: CRAN Package 'photon' (High-Performance Geocoding using 'photon')
 Features unstructured, structured and reverse geocoding using the 'photon'
 geocoding API <https://photon.komoot.io/>.  Facilitates the setup of local
 'photon' instances to enable offline geocoding.

Package: r-cran-photosynq
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-getpass
Filename: pool/dists/focal/main/r-cran-photosynq_0.2.3-1.ca2004.1_all.deb
Size: 41484
MD5sum: d8433b5ed5f2361bbe050d684154de38
SHA1: 57bc79d254f2f3c4525fb596fa102269a715bcbe
SHA256: 9b066ba2e65753913c8f98a6fa3924fa8d31710020daa3a98e2a962c9497835d
SHA512: 49411924a28ed870150cf7bed07a34ee43e2bb20813d630854210fb013954a423390c1d67d4fbc4d8d3f096821d818eb82884e061565971980378debc97f4c2d
Homepage: https://cran.r-project.org/package=PhotosynQ
Description: CRAN Package 'PhotosynQ' (Connect to PhotosynQ)
 Connect R to the PhotosynQ platform (<https://photosynq.org>). It allows to
 login and logout, as well as receive project information and project data.
 Further it transforms the received JSON objects into a data frame, which can
 be used for the final data analysis.

Package: r-cran-photosynthesis
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7369
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-units, r-cran-checkmate, r-cran-crayon, r-cran-dplyr, r-cran-furrr, r-cran-glue, r-cran-gunit, r-cran-lifecycle, r-cran-magrittr, r-cran-nlme, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tealeaves
Suggests: r-cran-brms, r-cran-broom, r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-photosynthesis_2.1.5-1.ca2004.1_all.deb
Size: 1205508
MD5sum: 94bce10000f90898b638b5f0bef52d88
SHA1: e553cbe1f970f5e554a254216a00837d9eac9dfd
SHA256: b55d67e84516e7638770ae06e66ee948b7b4bca23cd41618eca10f207d2f0fa0
SHA512: c582efd86f0ca4d5a1a575b3cd0ce711496eb3a84ba5138c3fe249db592d9b1386fa86ae546a05b188db763d0d6301442f5d8578d9c423f86e6ac08f9077860d
Homepage: https://cran.r-project.org/package=photosynthesis
Description: CRAN Package 'photosynthesis' (Tools for Plant Ecophysiology & Modeling)
 Contains modeling and analytical tools for plant ecophysiology.  MODELING:
 Simulate C3 photosynthesis using the Farquhar, von Caemmerer, Berry (1980)
 <doi:10.1007/BF00386231> model as described in Buckley and Diaz-Espejo
 (2015) <doi:10.1111/pce.12459>. It uses units to ensure that parameters are
 properly specified and transformed before calculations.  Temperature
 response functions get automatically "baked" into all parameters based on
 leaf temperature following Bernacchi et al. (2002) <doi:10.1104/pp.008250>.
 The package includes boundary layer, cuticular, stomatal, and mesophyll
 conductances to CO2, which each can vary on the upper and lower portions of
 the leaf. Use straightforward functions to simulate photosynthesis over
 environmental gradients such as Photosynthetic Photon Flux Density (PPFD)
 and leaf temperature, or over trait gradients such as CO2 conductance or
 photochemistry.  ANALYTICAL TOOLS: Fit ACi (Farquhar et al. (1980)
 <doi:10.1007/BF00386231>) and AQ curves (Marshall & Biscoe (1980)
 <doi:10.1093/jxb/31.1.29>), temperature responses (Heskel et al. (2016)
 <doi:10.1073/pnas.1520282113>; Kruse et al. (2008)
 <doi:10.1111/j.1365-3040.2008.01809.x>, Medlyn et al.  (2002)
 <doi:10.1046/j.1365-3040.2002.00891.x>, Hobbs et al. (2013)
 <doi:10.1021/cb4005029>), respiration in the light (Kok (1956)
 <doi:10.1016/0006-3002(56)90003-8>, Walker & Ort (2015)
 <doi:10.1111/pce.12562>, Yin et al. (2009)
 <doi:10.1111/j.1365-3040.2009.01934.x>, Yin et al. (2011)
 <doi:10.1093/jxb/err038>), mesophyll conductance (Harley et al. (1992)
 <doi:10.1104/pp.98.4.1429>), pressure-volume curves (Koide et al. (2000)
 <doi:10.1007/978-94-009-2221-1_9>, Sack et al. (2003)
 <doi:10.1046/j.0016-8025.2003.01058.x>, Tyree et al. (1972)
 <doi:10.1093/jxb/23.1.267>), hydraulic vulnerability curves (Ogle et al.
 (2009) <doi:10.1111/j.1469-8137.2008.02760.x>, Pammenter et al. (1998)
 <doi:10.1093/treephys/18.8-9.589>), and tools for running sensitivity
 analyses particularly for variables with uncertainty (e.g. g_mc(),
 gamma_star(), R_d()).

Package: r-cran-photosynthesislrc
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-photosynthesislrc_1.0.6-1.ca2004.1_all.deb
Size: 163016
MD5sum: 45f2c92d4ab648c0ea4f0c036b9a0e31
SHA1: 33e79503fee1a67557c04524c1776eabe90be0ec
SHA256: 9effd9218f8780ceaebd4ae87599550127de5b925460bcd9cc10b28153cd54f9
SHA512: 8f4c00cc7d9d883ee63d0806b521072c221cecafb2ccf6f56e76806a46ff47d0e60446cf4e7d1dda82a6c82b6c3d39966ea70ea60984113dad2c9c01cdf39e5e
Homepage: https://cran.r-project.org/package=photosynthesisLRC
Description: CRAN Package 'photosynthesisLRC' (Nonlinear Least Squares Models for Photosynthetic Light Response)
 Provides functions for modeling, comparing, and visualizing photosynthetic
 light response curves using established mechanistic and empirical models
 like the rectangular hyperbola Michaelis-Menton based models ((eq1 (Baly
 (1935) <doi:10.1098/rspb.1935.0026>)) (eq2 (Kaipiainenn (2009)
 <doi:10.1134/S1021443709040025>)) (eq3 (Smith (1936)
 <doi:10.1073/pnas.22.8.504>))), hyperbolic tangent based models ((eq4
 (Jassby & Platt (1976) <doi:10.4319/LO.1976.21.4.0540>)) (eq5 (Abe et al.
 (2009) <doi:10.1111/j.1444-2906.2008.01619.x>))), the non-rectangular
 hyperbola model (eq6 (Prioul & Chartier (1977)
 <doi:10.1093/oxfordjournals.aob.a085354>)), exponential based models ((eq8
 (Webb et al. (1974) <doi:10.1007/BF00345747>)), (eq9 (Prado & de Moraes
 (1997) <doi:10.1007/BF02982542>))), and finally the Ye model (eq11 (Ye
 (2007) <doi:10.1007/s11099-007-0110-5>)). Each of these nonlinear least
 squares models are commonly used to express photosynthetic response under
 changing light conditions and has been well supported in the literature, but
 distinctions in each mathematical model represent moderately different
 assumptions about physiology and trait relationships which ultimately
 produce different calculated functional trait values. These models were all
 thoughtfully discussed and curated by Lobo et al. (2013)
 <doi:10.1007/s11099-013-0045-y> to express the importance of selecting an
 appropriate model for analysis, and methods were established in Davis et al.
 (in review) to evaluate the impact of analytical choice in phylogenetic
 analysis of the function-valued traits. Gas exchange data on 28 wild
 sunflower species from Davis et al.are included as an example data set here.

Package: r-cran-phrases
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tidyverse, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-phrases_0.1-1.ca2004.1_all.deb
Size: 42044
MD5sum: 016119ddf55e60c099f77e277516579e
SHA1: 753dd6a329146a334be59e511da0f38250bce1e9
SHA256: e0cb056705a4a918ad9c9c4922701ae7714b0901983fbe7334001f6c4c6bbe88
SHA512: b73e53706ea789f9f3fbb01d8eea1654189ee6f62cfc76ab121ad8d476629f3625331299aff10768e4b59db5ae16a703b747d23e3169f0ae3883a8902d8d2d99
Homepage: https://cran.r-project.org/package=phrases
Description: CRAN Package 'phrases' (Phrasal Verbs in English Club Website)
 Contains all phrasal verbs listed in
 <https://www.englishclub.com/ref/Phrasal_Verbs/> as data frame. Useful for
 educational purpose as well as for text mining.

Package: r-cran-phsmethods
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phsmethods_1.0.2-1.ca2004.1_all.deb
Size: 183132
MD5sum: 51cff342779886f7567637735b766cf8
SHA1: b88ce8ed802e41b73cb1437d131f14a9f6b756c0
SHA256: 47338e59e80e37518c1d3f2499225998713a184f59fb3d104d7616d1315d9b0f
SHA512: 3b3edbb74b9d9faff5402d3218a4542aa39f0fe653bfbece23f6d8c787339ab1a12602e18be17685a39d31cfa17a8bfa58f5bc939bec838a2679ebe039744e11
Homepage: https://cran.r-project.org/package=phsmethods
Description: CRAN Package 'phsmethods' (Standard Methods for Use in Public Health Scotland)
 A collection of methods for commonly undertaken analytical tasks, primarily
 developed for Public Health Scotland (PHS) analysts, but the package is also
 generally useful to others working in the healthcare space, particularly
 since it has functions for working with Community Health Index (CHI)
 numbers. The package can help to make data manipulation and analysis more
 efficient and reproducible.

Package: r-cran-phuassess
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-phuassess_1.1-1.ca2004.1_all.deb
Size: 30884
MD5sum: ecd72eb0f4b544658ddd91ca16e492eb
SHA1: 1f4e8a99fbd9a0532576bc1a091eb752e1bdd238
SHA256: f1f7aa5cee6eea84e9c7e7a500cc516bd0bc8153984ca17efda482f77b25f881
SHA512: 189449965383baa703d7554f89cb2384606680bd2d2b5cc4b25788bc2b370dc89a2bdf36f09402e1ea7d0426b89c1916a94fdd2e328defc8065de87cf8e1a3d0
Homepage: https://cran.r-project.org/package=phuassess
Description: CRAN Package 'phuassess' (Proportional Habitat Use Assessment)
 Assessment of habitat selection by means of the permutation-based
 combination of sign tests (Fattorini et al., 2014
 <DOI:10.1007/s10651-013-0250-7>). To exemplify the application of this
 procedure, habitat selection is assessed for a population of European Brown
 Hares settled in central Italy.

Package: r-cran-phvid
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-lbe, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-phvid_1.0.8-1.ca2004.1_all.deb
Size: 251460
MD5sum: 509668ecf88ebd99b6284923678c3edc
SHA1: cb7014f9fbf8615816b4850f98da26ad5170c943
SHA256: ef1543ebbc118957fa808465ed615ecf057c1cf507f267491a398b530444d466
SHA512: acf127dd8d73d375aec07a230e76f02cd37507e847c1aa7e639c09cefe56c21cb8991d8702954a95d41d381281aef2e8e130ecd8b7165c27eaf6ed4d44588700
Homepage: https://cran.r-project.org/package=PhViD
Description: CRAN Package 'PhViD' (PharmacoVigilance Signal Detection)
 A collection of several pharmacovigilance signal detection methods extended
 to the multiple comparison setting.

Package: r-cran-phxnlme
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-manipulate, r-cran-lattice, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phxnlme_1.0.0-1.ca2004.1_all.deb
Size: 165820
MD5sum: df2198f82b4d8ffdf6a83d5059c09d21
SHA1: 8d6b774b0013bfd1e045a039647ef58d8d4aae3a
SHA256: 9ab4bdd5da00a6d37729fc4f3628f12f6c2e7a3b85a45c0dfc811208d2068be5
SHA512: bfb4faf82fcc825d03740ecfb5013ca3e2a94b5fe930d428aa910066f9f7cef3e085add1b87bcb75366c412ef5bed8fc80d2724643c94152264c599ae3f2378a
Homepage: https://cran.r-project.org/package=Phxnlme
Description: CRAN Package 'Phxnlme' (Run Phoenix NLME and Perform Post-Processing)
 Calls 'Phoenix NLME' (non-linear mixed effects), a population modeling and
 simulation software, for pharmacokinetics and pharmacodynamics analyses and
 conducts post-processing of the results. This includes creation of various
 diagnostic plots, bootstrap and visual predictive checks. See <http://
 www.certara.com/software/pkpd-modeling-and-simulation/phoenix-nlme/> for
 more information about 'Phoenix NLME'.

Package: r-cran-phyext2
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-phylobase, r-cran-ape
Filename: pool/dists/focal/main/r-cran-phyext2_0.0.4-1.ca2004.1_all.deb
Size: 313172
MD5sum: cc2e01bd35e018479c6b97c42c1d4577
SHA1: 70b0020f856cd4b10c972b6886f418a47c00c74d
SHA256: a7889da76a5a00ead118857ed2913cc3ff8746566fee11f019b27b63ba1aaa4e
SHA512: 277796420c7467f8b541fc32d87806b83f56cb2a3d57f996ec540b81a6852997d066807bc91f14cfda4174ccdc6e2f54affa395e2555afc39aa17f74a0928262
Homepage: https://cran.r-project.org/package=phyext2
Description: CRAN Package 'phyext2' (An Extension (for Package 'SigTree') of Some of the Classes inPackage 'phylobase')
 Based on (but not identical to) the no-longer-maintained package 'phyext',
 provides enhancements to 'phylobase' classes, specifically for use by
 package 'SigTree'; provides classes and methods which help users manipulate
 branch-annotated trees (as in 'SigTree'); also provides support for a few
 other extra features.

Package: r-cran-phyinsight
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bold, r-bioc-biostrings, r-cran-ape, r-bioc-decipher
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phyinsight_0.1.0-1.ca2004.1_all.deb
Size: 165120
MD5sum: 040b6ee42005d18bf27d70a3441b1eeb
SHA1: c5b9edf529de39dd7005bf0114685ba9543caeed
SHA256: 90355e668597c2aa4c1e6fe1b5950b431315e81d317b3ac8dc7ab88e572bf605
SHA512: 8602a16c22a00ccd37024ba06f18f457323dd9ef708518193ecde886e0625cc679f58dca357137120360a51f9e58fdbf9702207f8f5d861704f9112887b690c2
Homepage: https://cran.r-project.org/package=PhyInsight
Description: CRAN Package 'PhyInsight' (DNA Sequence Analysis & Generation Tree Creation)
 Provide insights using automated DNA sequence manipulation and tree
 creation. Currently, the package exclusively retrieves data from the BOLD
 System database (<http://v4.boldsystems.org/index.php/api_home>).

Package: r-cran-phylepic
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-cli, r-cran-cowplot, r-cran-dplyr, r-cran-forcats, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-rlang, r-cran-scales, r-cran-tidygraph, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylepic_0.2.0-1.ca2004.1_all.deb
Size: 818800
MD5sum: cb2d96e6dad2b40412748ef792c50d75
SHA1: 12391ad7f2e20aa683d2e889f43b84efc5a2a522
SHA256: 618cd53bb54942c3df43137ae3b455790d01ccbe50dae8aeeb40d21022510238
SHA512: bee0cdd0dd3a6ada23e16a44d17434f632ec653c9705a9ed4fcb712c9649f2b0ebe6f204cfeae170ad22eda8766bde12065dad0ede4f20af8518102ee0b0cd8d
Homepage: https://cran.r-project.org/package=phylepic
Description: CRAN Package 'phylepic' (Combined Visualisation of Phylogenetic and Epidemiological Data)
 A collection of utilities and 'ggplot2' extensions to assist with
 visualisations in genomic epidemiology. This includes the 'phylepic' chart,
 a visual combination of a phylogenetic tree and a matched epidemic curve.
 The included 'ggplot2' extensions such as date axes binned by week are
 relevant for other applications in epidemiology and beyond. The approach is
 described in Suster et al. (2024) <doi:10.1101/2024.04.02.24305229>.

Package: r-cran-phylin
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-geometry, r-cran-raster, r-cran-gdistance
Filename: pool/dists/focal/main/r-cran-phylin_2.0.2-1.ca2004.1_all.deb
Size: 830484
MD5sum: 66cb9e8dce63dd63a4f7ca359d619fba
SHA1: 0f2b28d57e15bff49354737a32b4c8099e705cac
SHA256: 2d5d537b8f105c24621a821e87b9227c74109a5ca9a5164ff276e2b821d0418a
SHA512: d77f47f0faac9705b72b1fa89fa4e0370826d4625e1a8d92d388a580b29877c5a0f7e8fb1843a5fe4050ed5620705ce3f5f8e24c36588b98c091efdb410d51b9
Homepage: https://cran.r-project.org/package=phylin
Description: CRAN Package 'phylin' (Spatial Interpolation of Genetic Data)
 The spatial interpolation of genetic distances between samples is based on a
 modified kriging method that accepts a genetic distance matrix and generates
 a map of probability of lineage presence. This package also offers tools to
 generate a map of potential contact zones between groups with user-defined
 thresholds in the tree to account for old and recent divergence.
 Additionally, it has functions for IDW interpolation using genetic data and
 midpoints.

Package: r-cran-phylocanvas
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-phylobase, r-cran-htmlwidgets
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phylocanvas_0.1.3-1.ca2004.1_all.deb
Size: 127136
MD5sum: 18c8cdf6054efd54cc953fd5190b3696
SHA1: c4e05ba9daab73bd26e43d84e578d115ce08c116
SHA256: 5e927f3654eb9916ce77db927aba9e105039b9e5ff4bb8a3d87b04d014449883
SHA512: 6f65f927d09af0e71145ded69d59222727412b9ae7d6d77f615e47cda006b8e5b95df3f6b94e825f65e2b15ce1fce25d3484dd19a2718a9dbb1f2537547c397a
Homepage: https://cran.r-project.org/package=phylocanvas
Description: CRAN Package 'phylocanvas' (Interactive Phylogenetic Trees Using the 'Phylocanvas'JavaScript Library)
 Create and customize interactive phylogenetic trees using the 'phylocanvas'
 JavaScript library and the 'htmlwidgets' package. These trees can be used
 directly from the R console, from 'RStudio', in Shiny apps, and in R
 Markdown documents.  See <http://phylocanvas.org/> for more information on
 the 'phylocanvas' library.

Package: r-cran-phyloclim
Architecture: all
Version: 0.9.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1802
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-raster, r-cran-sp
Filename: pool/dists/focal/main/r-cran-phyloclim_0.9.5-1.ca2004.1_all.deb
Size: 290168
MD5sum: f444d0c3b210192d579da14d10c6f970
SHA1: 5ec6c3f10b2a10f4eaab01b4a3cb50a2af528120
SHA256: f9894c8c7d3ceadb59cc509eb3bf9c75f3f5e5fac1ddeb7401d93f8401bb2772
SHA512: d6f3475d1e47ac77563d849d952f144ec884e219041575a60133a3790ba6bad836807ea8f84f381a58029e630017ea7e6f6212f0ef7f449c9bf2546b73f0a803
Homepage: https://cran.r-project.org/package=phyloclim
Description: CRAN Package 'phyloclim' (Integrating Phylogenetics and Climatic Niche Modeling)
 Implements some methods in phyloclimatic modeling: estimation of ancestral
 climatic niches, age-range-correlation, niche equivalency test and
 background-similarity test.

Package: r-cran-phylogr
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1680
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-phylogr_1.0.11-1.ca2004.1_all.deb
Size: 741072
MD5sum: c7a16be1254c7aed405a59bccb57af63
SHA1: 702b2d5b1f2e8a46b66b80c08e7a2f5dee2ea7fb
SHA256: ec676a15609e82bab106c503122e5eeea00cb705f8b62c0e9ad8823474488acd
SHA512: 196076da554e9b944bef6e211f80fa8c5c8e464010d61a0941fd6568e834500c9389511131a6c7c0c38ec178ef49f74db96f7f299e5d8f6ef33fc50fb7d7b432
Homepage: https://cran.r-project.org/package=PHYLOGR
Description: CRAN Package 'PHYLOGR' (Functions for Phylogenetically Based Statistical Analyses)
 Manipulation and analysis of phylogenetically simulated data sets and
 phylogenetically based analyses using GLS.

Package: r-cran-phylogram
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1055
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Suggests: r-cran-dendextend, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylogram_2.1.0-1.ca2004.1_all.deb
Size: 404208
MD5sum: ac1f2aa9b7a3a8ff955e03c728e388b0
SHA1: 5b4ef96021405837038d85cbc49d9b176ee6aae9
SHA256: 390e7753f4e89f4f48e15ae8ae7c8fa9067ce47740926f7b0ca78a390746fdd7
SHA512: dcff7a47ffb07354130b5dd5f1f61096acc01e4892daa32112ef354b7adef9a270d13727d5d191db6219b785396c16e1fe12df66f65010717e5c3d4e6f70cb87
Homepage: https://cran.r-project.org/package=phylogram
Description: CRAN Package 'phylogram' (Dendrograms for Evolutionary Analysis)
 Contains functions for developing phylogenetic trees as deeply-nested lists
 ("dendrogram" objects).  Enables bi-directional conversion between
 dendrogram and "phylo" objects (see Paradis et al (2004)
 <doi:10.1093/bioinformatics/btg412>), and features several tools for
 command-line tree manipulation and import/export via Newick parenthetic
 text.

Package: r-cran-phylolm.hp
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rr2, r-cran-phylolm, r-cran-ggplot2, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-phylolm.hp_0.0-3-1.ca2004.1_all.deb
Size: 46228
MD5sum: 4cb3b79b5c53ec1695e25f35edbde5c1
SHA1: 3e4035394b4fc194f66ce980a0f38bc217a07860
SHA256: bec4e4f28b08a0b25d6f2d3bcd41d6a6dd9dde7d685f8f7941a115a46d02e923
SHA512: fb56fee4550314dbc830a5b60bc214d62556fdadde89525ef915400f67c550df9a695d18054b6bf0180db1f3a3af71054b4794667dbb34e60547ebfbdbb13c52
Homepage: https://cran.r-project.org/package=phylolm.hp
Description: CRAN Package 'phylolm.hp' (Hierarchical Partitioning of R2 for Phylogenetic LinearRegression)
 Conducts hierarchical partitioning to calculate individual contributions of
 phylogenetic tree and predictors (groups) towards total R2 for phylogenetic
 linear regression models.

Package: r-cran-phylometrics
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylometrics_0.0.1-1.ca2004.1_all.deb
Size: 45008
MD5sum: ce7e084c3e135b8a328641fc6e5b86b0
SHA1: 66f8ab063bde3eb4c25e6e46d060ac8cc25a2233
SHA256: 5b1bf83e297be3650ae6d74b78ae3ed7fc1fab129ee33380b0c7143e83f9c457
SHA512: babac811b4a81b2f810a989844d9e2b049c156ff12b68ae71f25f4104f3f4d9f40a923562be4b647c124b9ccfef465872fd151153c186f334734e4135881fc43
Homepage: https://cran.r-project.org/package=phylometrics
Description: CRAN Package 'phylometrics' (Estimating Statistical Errors of Phylogenetic Metrics)
 Provides functions to estimate statistical errors of phylogenetic metrics
 particularly to detect binary trait influence on diversification, as well as
 a function to simulate trees with fixed number of sampled taxa and trait
 prevalence.

Package: r-cran-phylopath
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3333
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-future.apply, r-cran-ggm, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-phylolm, r-cran-purrr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylopath_1.3.0-1.ca2004.1_all.deb
Size: 1822496
MD5sum: 79c16feb08c496a91fec22d06798e954
SHA1: e7e00b40fcea6d48149dd11fb97421e8e789aae7
SHA256: c0474232d1e4fdd000d75791006d86645a8f70ba71baf8e5f9fe99f117cbfb45
SHA512: 6090aba4ea168cbdc081b0bcc5e73c986755d30e5c4d93fbb3efdd2a76ea43ec92384ee8bc591a4088a844c5eda77414ef1c9d4e72179999c1851fcb52ae777a
Homepage: https://cran.r-project.org/package=phylopath
Description: CRAN Package 'phylopath' (Perform Phylogenetic Path Analysis)
 A comprehensive and easy to use R implementation of confirmatory
 phylogenetic path analysis as described by Von Hardenberg and Gonzalez-Voyer
 (2012) <doi:10.1111/j.1558-5646.2012.01790.x>.

Package: r-cran-phyloraster
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 926
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-purrr, r-cran-sesraster, r-cran-terra
Suggests: r-cran-knitr, r-cran-maps, r-cran-phylobase, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phyloraster_2.2.0-1.ca2004.1_all.deb
Size: 607484
MD5sum: fa78ba2c84301e5b405372fadfa416e1
SHA1: f3764bcefb22870d6392d1fe8544eb93ab838997
SHA256: d1f8d4a7c395af55de57ef713fbe8422687317977f07cb2a0419fce4ff0cd8da
SHA512: 3f48a9421b71cd9338107ed20482cafa42c5bf036666b7daf2681482fb3686a9ba5cc654fb462ac404792548dd97cbb9327b6a71c01532514c5f4d0d973f2866
Homepage: https://cran.r-project.org/package=phyloraster
Description: CRAN Package 'phyloraster' (Evolutionary Diversity Metrics for Raster Data)
 Phylogenetic Diversity (PD, Faith 1992), Evolutionary Distinctiveness (ED,
 Isaac et al. 2007), Phylogenetic Endemism (PE, Rosauer et al. 2009; Laffan
 et al. 2016), and Weighted Endemism (WE, Laffan et al. 2016) for
 presence-absence raster.  Faith, D. P. (1992)
 <doi:10.1016/0006-3207(92)91201-3> Isaac, N. J. et al. (2007)
 <doi:10.1371/journal.pone.0000296> Laffan, S. W. et al. (2016)
 <doi:10.1111/2041-210X.12513> Rosauer, D. et al. (2009)
 <doi:10.1111/j.1365-294X.2009.04311.x>.

Package: r-cran-phyloregion
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2076
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-phangorn, r-cran-matrix, r-cran-betapart, r-cran-colorspace, r-cran-igraph, r-cran-clustmixtype, r-cran-maptpx, r-cran-terra, r-cran-vegan, r-cran-predicts, r-cran-smoothr
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-mapproj, r-cran-survival, r-cran-rjava, r-bioc-phyloseq, r-cran-v8
Filename: pool/dists/focal/main/r-cran-phyloregion_1.0.8-1.ca2004.1_all.deb
Size: 1462280
MD5sum: e57f6271cfbdb1e61d59bc066c52cb06
SHA1: b6044f3c5f986ff3b7ddb10c0cc69a3e05f0fa72
SHA256: f2fe6287f1b03be28492eace22b3ea9c4f168dc51e7cdc8c929ac9ac275bf761
SHA512: f85399591705a4703c0c34f23f6387200dac4b9b9823a437b3bf1f5b43612c548581d5e1f42f80822e322d557e498c3f3057487961629fee85cbbe24d725677c
Homepage: https://cran.r-project.org/package=phyloregion
Description: CRAN Package 'phyloregion' (Biogeographic Regionalization and Macroecology)
 Computational infrastructure for biogeography, community ecology, and
 biodiversity conservation (Daru et al. 2020) <doi:10.1111/2041-210X.13478>.
 It is based on the methods described in Daru et al. (2020)
 <doi:10.1038/s41467-020-15921-6>.  The original conceptual work is described
 in Daru et al. (2017) <doi:10.1016/j.tree.2017.08.013> on patterns and
 processes of biogeographical regionalization. Additionally, the package
 contains fast and efficient functions to compute more standard conservation
 measures such as phylogenetic diversity, phylogenetic endemism, evolutionary
 distinctiveness and global endangerment, as well as compositional turnover
 (e.g., beta diversity).

Package: r-cran-phylosamp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2498
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-cowplot, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylosamp_1.0.1-1.ca2004.1_all.deb
Size: 1102084
MD5sum: 0e93fa5ddf97e702a6ec1eb0e82ec48c
SHA1: cec76ab4d5fd242d2f23b8231c3bd1c4a22b7fc2
SHA256: b7d754c5177a930b58516cd106a52a46c828b674bcefc8a7b12204f2adb16883
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Homepage: https://cran.r-project.org/package=phylosamp
Description: CRAN Package 'phylosamp' (Sample Size Calculations for Molecular and Phylogenetic Studies)
 Implements novel tools for estimating sample sizes needed for phylogenetic
 studies, including studies focused on estimating the probability of true
 pathogen transmission between two cases given phylogenetic linkage and
 studies focused on tracking pathogen variants at a population level. Methods
 described in Wohl, Giles, and Lessler (2021) and in Wohl, Lee, DiPrete, and
 Lessler (2023).

Package: r-cran-phyloseqgraphtest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1292
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-bioc-phyloseq, r-cran-ggnetwork, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-phyloseqgraphtest_0.1.1-1.ca2004.1_all.deb
Size: 449868
MD5sum: 6e60ffd5579cac18f935c84c203c80d8
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Homepage: https://cran.r-project.org/package=phyloseqGraphTest
Description: CRAN Package 'phyloseqGraphTest' (Graph-Based Permutation Tests for Microbiome Data)
 Provides functions for graph-based multiple-sample testing and visualization
 of microbiome data, in particular data stored in 'phyloseq' objects. The
 tests are based on those described in Friedman and Rafsky (1979)
 <http://www.jstor.org/stable/2958919>, and the tests are described in more
 detail in Callahan et al. (2016) <doi:10.12688/f1000research.8986.1>.

Package: r-cran-phylosignaldb
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Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-castor, r-cran-cluster, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylosignaldb_0.2.2-1.ca2004.1_all.deb
Size: 64340
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SHA256: 046c69ed9b204bcbfb9e7155b536233e1b2c9d00c8b2315ef5983371fa6101e0
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Homepage: https://cran.r-project.org/package=phylosignalDB
Description: CRAN Package 'phylosignalDB' (Explore Phylogenetic Signals Using Distance-Based Methods)
 A unified method, called M statistic, is provided for detecting phylogenetic
 signals in continuous traits, discrete traits, and multi-trait combinations.
 Blomberg and Garland (2002) <doi:10.1046/j.1420-9101.2002.00472.x> provided
 a widely accepted statistical definition of the phylogenetic signal, which
 is the "tendency for related species to resemble each other more than they
 resemble species drawn at random from the tree". The M statistic strictly
 adheres to the definition of phylogenetic signal, formulating an index and
 developing a method of testing in strict accordance with the definition,
 instead of relying on correlation analysis or evolutionary models. The novel
 method equivalently expressed the textual definition of the phylogenetic
 signal as an inequality equation of the phylogenetic and trait distances and
 constructed the M statistic. Also, there are more distance-based methods
 under development.

Package: r-cran-phylospatial
Architecture: all
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Priority: optional
Section: gnu-r
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Installed-Size: 2515
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-sf, r-cran-terra, r-cran-vegan
Suggests: r-cran-canaper, r-cran-furrr, r-cran-future, r-cran-testthat, r-cran-betapart, r-cran-knitr, r-cran-rmarkdown, r-cran-tmap, r-cran-magrittr, r-cran-hillr, r-cran-picante, r-cran-phytools
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Size: 1904308
MD5sum: 28529e0185a44a1e5b0fdbe5f9aa31b9
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SHA256: c7a51b89976cf11bc992b4322353711be994c76256d8b7c885f86ee9dd9ca2f9
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Homepage: https://cran.r-project.org/package=phylospatial
Description: CRAN Package 'phylospatial' (Spatial Phylogenetic Analysis)
 Analyze spatial phylogenetic diversity patterns.  Use your data on an
 evolutionary tree and geographic distributions of the terminal taxa to
 compute diversity and endemism metrics, test significance with null model
 randomization, analyze community turnover and biotic regionalization, and
 perform spatial conservation prioritizations. All functions support
 quantitative community data in addition to binary data.

Package: r-cran-phylotate
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ape
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Size: 61992
MD5sum: c16abb82923843a4e2cd8fee5cd1c530
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SHA256: 8526c9b5c89e876618957e3fe483658f0264691ed521f004c866011970d36351
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Homepage: https://cran.r-project.org/package=phylotate
Description: CRAN Package 'phylotate' (Phylogenies with Annotations)
 Functions to read and write APE-compatible phylogenetic trees in NEXUS and
 Newick formats, while preserving annotations.

Package: r-cran-phylotools
Architecture: all
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Suggests: r-cran-vegan
Filename: pool/dists/focal/main/r-cran-phylotools_0.2.2-1.ca2004.1_all.deb
Size: 56920
MD5sum: 729233aa65bfd1560cb798c79f29aa80
SHA1: 73624ef072793d4b6d12351c61bc4ad8a24f1429
SHA256: 89d32886922cb6caa5bdd00cc13a9ea9a0b3c66d8d592dedae5518de1ad2bcf6
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Homepage: https://cran.r-project.org/package=phylotools
Description: CRAN Package 'phylotools' (Phylogenetic Tools for Eco-Phylogenetics)
 A collection of tools for building RAxML supermatrix using PHYLIP or aligned
 FASTA files. These functions will be useful for building large phylogenies
 using multiple markers.

Package: r-cran-phylotop
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-igraph, r-cran-nhpoisson, r-cran-phylobase
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phylotop_2.1.2-1.ca2004.1_all.deb
Size: 107772
MD5sum: 3e0352765d4e77713eeebdf38b5ea59f
SHA1: e5665ba5812316a5ce6f58951cd2c417291c6f35
SHA256: d2b10d050fa7b16811b58c9e0ed3e5bdffcfce3d4ef87bf7f748d467175bc186
SHA512: fcde90b5fdf9507e421240eb93bc91ae4a364e0cc39eefc5783e1479fe88af68dc35de19e1bdf386ff2bd8b8abbc42d1869f4dca982c9d4c944ca010c1623a2c
Homepage: https://cran.r-project.org/package=phyloTop
Description: CRAN Package 'phyloTop' (Calculating Topological Properties of Phylogenies)
 Tools for calculating and viewing topological properties of phylogenetic
 trees.

Package: r-cran-phyreg
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-phyreg_1.0.2-1.ca2004.1_all.deb
Size: 132520
MD5sum: 6525ed4c25bc36d2cb3359fb36dd9724
SHA1: bfc1e2fdbeaeb06122869251ca752ffcea01f457
SHA256: aa5bc2a8940f25aa1dda225d12fdcc5b2cd99797da2d5610536be73b38fc90cd
SHA512: 63b45d8267e9a58d25a4d21a7f40178a3f061d20978460b7a0c3555a40a57ba6d1c3b37e2e48d4e5961155ad6a295c2a7722b34fe25f7cd903d458aee5803e4b
Homepage: https://cran.r-project.org/package=phyreg
Description: CRAN Package 'phyreg' (The Phylogenetic Regression of Grafen (1989))
 Provides general linear model facilities (single y-variable, multiple
 x-variables with arbitrary mixture of continuous and categorical and
 arbitrary interactions) for cross-species data. The method is, however,
 based on the nowadays rather uncommon situation in which uncertainty about a
 phylogeny is well represented by adopting a single polytomous tree. The
 theory is in A. Grafen (1989, Proc. R. Soc. B 326, 119-157) and aims to cope
 with both recognised phylogeny (closely related species tend to be similar)
 and unrecognised phylogeny (a polytomy usually indicates ignorance about the
 true sequence of binary splits).

Package: r-cran-physactbedrest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-stringr, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-physactbedrest_1.1-1.ca2004.1_all.deb
Size: 41780
MD5sum: b1384237acb120e8a471a4bc67c64285
SHA1: 7466bffa324e04042eb7105e8e6dd49c29a5ebc7
SHA256: 4008e4557abe779f8c4a2042a91a9e0241e8108133a07cd78362e5faaa62938f
SHA512: 0654bb20527615b61fd6585c65fcc590f231c068163ee9c66e4790aa8301214463e624b86c6186efece7505e593dc27624558fc8b12e10b7f1d0b10b74052035
Homepage: https://cran.r-project.org/package=PhysActBedRest
Description: CRAN Package 'PhysActBedRest' (Marks Periods of 'Bedrest' in Actigraph Accelerometer Data)
 Contains a function to categorize accelerometer readings collected in
 free-living (e.g., for 24 hours/day for 7 days), preprocessed and compressed
 as counts (unit-less value) in a specified time period termed epoch (e.g., 1
 minute) as either bedrest (sleep) or active.  The input is a matrix with a
 timestamp column and a column with number of counts per epoch. The output is
 the same dataframe with an additional column termed bedrest. In the bedrest
 column each line (epoch) contains a function-generated classification 'br'
 or 'a' denoting bedrest/sleep and activity, respectively.  The package is
 designed to be used after wear/nonwear marking function in the
 'PhysicalActivity' package.  Version 1.1 adds preschool thresholds and
 corrects for possible errors in algorithm implementation.

Package: r-cran-physicalactivity
Architecture: all
Version: 0.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2624
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rsqlite, r-cran-dbi, r-cran-data.table, r-cran-e1071, r-cran-keras, r-cran-randomforest, r-cran-reticulate, r-cran-rms
Filename: pool/dists/focal/main/r-cran-physicalactivity_0.2-4-1.ca2004.1_all.deb
Size: 2478600
MD5sum: fa87a3726ceef5cbf52d328bb162facd
SHA1: 753940b5e0bde31799d73c9e9875045f1ea54a9b
SHA256: 1a64ee40c5b1b2c6804422b607f3ce3b228325119113520ebd5a9b43e4f9aa7b
SHA512: 2be28392a8b70444f3a5cf4e802893047b37fd8400c4b2762a50bff7bc6bcb487042ffcc77c849d613c12de51d87dcabfb6724e6f0a1fb2ed314b3619407ee68
Homepage: https://cran.r-project.org/package=PhysicalActivity
Description: CRAN Package 'PhysicalActivity' (Process Accelerometer Data for Physical Activity Measurement)
 It provides a function "wearingMarking" for classification of monitor wear
 and nonwear time intervals in accelerometer data collected to assess
 physical activity. The package also contains functions for making plot for
 accelerometer data and obtaining the summary of various information
 including daily monitor wear time and the mean monitor wear time during
 valid days.  "deliveryPred" and "markDelivery" can classify days for
 ActiGraph delivery by mail; "deliveryPreprocess" can process accelerometry
 data for analysis by zeropadding incomplete days and removing low activity
 days; "markPAI" can categorize physical activity intensity level based on
 user-defined cut-points of accelerometer counts. It also supports importing
 ActiGraph AGD files with "readActigraph" and "queryActigraph" functions.

Package: r-cran-physortr
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-phytools, r-cran-ape
Filename: pool/dists/focal/main/r-cran-physortr_1.0.9-1.ca2004.1_all.deb
Size: 49344
MD5sum: 477e590fdb215f40766011da1120185d
SHA1: 80a25f28af57b5b8d379eb2ea7aa385332356490
SHA256: 3175f643e1a31564b3feac0bea22e5066a745f86a1b30a58a9cc9229b509108a
SHA512: 2dcd721d3d376882f6d8a5c95bc07e928b954077b0ddade1967448a8e48d8486331a117a2be8da4f89f2512e205e6b8e9fff147e5dc14a7a76ae2017d07eaafa
Homepage: https://cran.r-project.org/package=PhySortR
Description: CRAN Package 'PhySortR' (A Fast, Flexible Tool for Sorting Phylogenetic Trees)
 Screens and sorts phylogenetic trees in both traditional and extended Newick
 format. Allows for the fast and flexible screening (within a tree) of
 Exclusive clades that comprise only the target taxa and/or Non- Exclusive
 clades that includes a defined portion of non-target taxa.

Package: r-cran-phytoclass
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bestnormalize, r-cran-dplyr, r-cran-dynamictreecut, r-cran-ggplot2, r-cran-metrics, r-cran-rcppml, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-phytoclass_2.0.0-1.ca2004.1_all.deb
Size: 269076
MD5sum: 14aaa3de58bc67488c6864639995afc0
SHA1: 8535d1030bf8459413f5c7dcf93096a14c96ab9c
SHA256: 456774686a987580cb3bbc5bcad1f1beaab23fc4eda82b35101ea33b725b40dc
SHA512: 25daf4566e84c563f3d3cacd024fa3a8339a1aeacd2acb1456c4e9a7fcdc7e5181b7dce594f995233d7492cb73cbcf8f8d033d7cc62a4ad57f49771ea457fecd
Homepage: https://cran.r-project.org/package=phytoclass
Description: CRAN Package 'phytoclass' (Estimate Chla Concentrations of Phytoplankton Groups)
 Determine the chlorophyll a (Chl a) concentrations of different
 phytoplankton groups based on their pigment biomarkers. The method uses
 non-negative matrix factorisation and simulated annealing to minimise error
 between the observed and estimated values of pigment concentrations (Hayward
 et al. (2023) <doi:10.1002/lom3.10541>).  The approach is similar to the
 widely used 'CHEMTAX' program (Mackey et al. 1996) <doi:10.3354/meps144265>,
 but is more straightforward, accurate, and not reliant on initial guesses
 for the pigment to Chl a ratios for phytoplankton groups.

Package: r-cran-phytools
Architecture: all
Version: 2.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2859
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-maps, r-cran-clustergeneration, r-cran-coda, r-cran-combinat, r-cran-deoptim, r-cran-doparallel, r-cran-expm, r-cran-foreach, r-cran-mass, r-cran-mnormt, r-cran-nlme, r-cran-numderiv, r-cran-optimparallel, r-cran-phangorn, r-cran-scatterplot3d
Suggests: r-cran-animation, r-cran-geiger, r-cran-plotrix, r-cran-rcolorbrewer, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-phytools_2.4-4-1.ca2004.1_all.deb
Size: 2766828
MD5sum: 00c16dfa999e84293707cb147f4b79c2
SHA1: 6e924d569a58cda7d3e3558cd694ab3abdfa795e
SHA256: 4910a9a737e7eea741c4e6463cc714e04b987d75d3b16de3f88dc92e374d4e12
SHA512: fa6fff6890bf62ffc848185fac00c4daa05b2c7d48b0c25c783fc834341d89d238988ed4d6fa03d1a0cde52df44a28c40207aa00c779e2eed2d6770a07c825ed
Homepage: https://cran.r-project.org/package=phytools
Description: CRAN Package 'phytools' (Phylogenetic Tools for Comparative Biology (and Other Things))
 A wide range of methods for phylogenetic analysis - concentrated in
 phylogenetic comparative biology, but also including numerous techniques for
 visualizing, analyzing, manipulating, reading or writing, and even inferring
 phylogenetic trees. Included among the functions in phylogenetic comparative
 biology are various for ancestral state reconstruction, model-fitting, and
 simulation of phylogenies and trait data. A broad range of plotting methods
 for phylogenies and comparative data include (but are not restricted to)
 methods for mapping trait evolution on trees, for projecting trees into
 phenotype space or a onto a geographic map, and for visualizing correlated
 speciation between trees. Lastly, numerous functions are designed for
 reading, writing, analyzing, inferring, simulating, and manipulating
 phylogenetic trees and comparative data. For instance, there are functions
 for computing consensus phylogenies from a set, for simulating phylogenetic
 trees and data under a range of models, for randomly or non-randomly
 attaching species or clades to a tree, as well as for a wide range of other
 manipulations and analyses that phylogenetic biologists might find useful in
 their research.

Package: r-cran-phytosanitarycalculator
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-acceptancesampling, r-cran-htmltools, r-cran-rmarkdown
Suggests: r-cran-testthat, r-cran-devtools, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-phytosanitarycalculator_1.1.3-1.ca2004.1_all.deb
Size: 39776
MD5sum: 780bf18c1e34746d7b30bf2cde050977
SHA1: 828aa9e2d714ca29258b66358c44a4778a8764b6
SHA256: 09a5e47078d2c07ca6804facfe29c0c1183c7e5e37c305b9c2246735ade2c271
SHA512: 18fb2fbcc2265d2b4e5a03c558d9c3dd49c0ed6d3275708bbd961058d4372ac14a92886aac43da6fd57af1576de4aae6178dc5bce2bf3f2ac4edfdbd9ffdc65c
Homepage: https://cran.r-project.org/package=PhytosanitaryCalculator
Description: CRAN Package 'PhytosanitaryCalculator' (Phytosanitary Calculator for Inspection Plans Based on Risks)
 A 'Shiny' application for calculating phytosanitary inspection plans based
 on risks. It generates a diagram of pallets in a lot, highlights the units
 to be sampled, and documents them based on the selected sampling method
 (simple random or systematic sampling).

Package: r-cran-phytotools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-insol, r-cran-fme
Filename: pool/dists/focal/main/r-cran-phytotools_1.0-1.ca2004.1_all.deb
Size: 67264
MD5sum: 9de1a07ec9406f6155568a577e81f94f
SHA1: 25c61914c793366c356c7cc934d1e493c3a5a7b0
SHA256: 05ca945b72b297c47f372b3952f0df0a4da3b904f2edc3a638b7f56f1c501882
SHA512: 2e5d4c0eb6c0423b03a09e1b9f95c13ec6c6deaa3c56dbc3c0dedc5dfad539dc03621d93c9c32ccc9a08b39de65e309bff303e6962e82f4b8b728bbcf80f64cc
Homepage: https://cran.r-project.org/package=phytotools
Description: CRAN Package 'phytotools' (Phytoplankton Production Tools)
 Fits PE and RLC data to one of a four published PE models.  Simulates
 incident irradiance as a function of time and space.  Calculates
 phytoplankton production by transposing modeled PE or RLC data to a water
 column with a user-defined theoretical in-situ irradiance field.

Package: r-cran-piar
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 632
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gpindex, r-cran-matrix
Suggests: r-cran-data.tree, r-cran-knitr, r-cran-rmarkdown, r-cran-sps, r-cran-testthat, r-cran-treemap
Filename: pool/dists/focal/main/r-cran-piar_0.8.2-1.ca2004.1_all.deb
Size: 286892
MD5sum: 06694623fcd891be578c79a439d249f5
SHA1: 673dc5c1d2ea8c4461476ae2dafe136f7de40476
SHA256: 76391fded734362519ec1c89bba77a422459e9b04bebba993361672b21a31d6c
SHA512: 62aa02553b8d62114c5cf12b47c81e9720c954486246457762a80b97ff9ff43f3da03efdc13b304e9e19fd56f31d2d29189e0b5d95c97a7d45c7d44a45cd1e64
Homepage: https://cran.r-project.org/package=piar
Description: CRAN Package 'piar' (Price Index Aggregation)
 Most price indexes are made with a two-step procedure, where
 period-over-period elemental indexes are first calculated for a collection
 of elemental aggregates at each point in time, and then aggregated according
 to a price index aggregation structure. These indexes can then be chained
 together to form a time series that gives the evolution of prices with
 respect to a fixed base period. This package contains a collection of
 functions that revolve around this work flow, making it easy to build
 standard price indexes, and implement the methods described by Balk (2008,
 <doi:10.1017/CBO9780511720758>), von der Lippe (2007,
 <doi:10.3726/978-3-653-01120-3>), and the CPI manual (2020,
 <doi:10.5089/9781484354841.069>) for bilateral price indexes.

Package: r-cran-pic
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-collapse, r-cran-data.table, r-cran-dbscan, r-cran-dplyr, r-cran-foreach, r-cran-magrittr, r-cran-tictoc
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pic_1.0.3-1.ca2004.1_all.deb
Size: 45668
MD5sum: e7689c8a752a5ef59ba8c8068e4fe430
SHA1: 35c95ca2fc1de7545ae18f38274482eff7a42712
SHA256: 66e5a647aca027d18671aeec286825e88fe458cbfded72e8981298857529c091
SHA512: 0e187c31702d7e7a732a752c7603827fb266a12d510983190c31eea9c775806fa526c7f56486dc20a134e14a7acadf87c3e4323382bad9288fb38afeb135b086
Homepage: https://cran.r-project.org/package=PiC
Description: CRAN Package 'PiC' (Pointcloud Interactive Computation for Forest Structure Analysis)
 Provides advanced algorithms for analyzing pointcloud data in forestry
 applications. Key features include fast voxelization of large datasets;
 segmentation of point clouds into forest floor, understorey, canopy, and
 wood components. The package enables efficient processing of large-scale
 forest pointcloud data, offering insights into forest structure,
 connectivity, and fire risk assessment. Algorithms to analyze pointcloud
 data (.xyz input file).  For more details, see Ferrara & Arrizza (2025)
 <https://hdl.handle.net/20.500.14243/533471>.  For single tree segmentation
 details, see Ferrara et al. (2018) <doi:10.1016/j.agrformet.2018.04.008>.

Package: r-cran-picbayes
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-mcmcpack, r-cran-survival
Filename: pool/dists/focal/main/r-cran-picbayes_1.0-1.ca2004.1_all.deb
Size: 646144
MD5sum: ce4c1fac474827fbe255da47565f0480
SHA1: f5d295d3b9c93d5920d596ea2fdd603c1142934d
SHA256: 63f39185e65e00c2dfbab3c27455ac14523df3fedff1896878e53dba7316b194
SHA512: f2cc7623d003ceefc8fc261592a36c66308f25cb61434f58e86d1e35b83ebbc9779c2b476f933411157ffbfd559f9f13884f1bb46d58a206fd8144f1e0986ee1
Homepage: https://cran.r-project.org/package=PICBayes
Description: CRAN Package 'PICBayes' (Bayesian Models for Partly Interval-Censored Data)
 Contains functions to fit proportional hazards (PH) model to partly
 interval-censored (PIC) data (Pan et al. (2020)
 <doi:10.1177/0962280220921552>), PH model with spatial frailty to spatially
 dependent PIC data (Pan and Cai (2021) <doi:10.1080/03610918.2020.1839497>),
 and mixed effects PH model to clustered PIC data. Each random
 intercept/random effect can follow both a normal prior and a Dirichlet
 process mixture prior. It also includes the corresponding functions for
 general interval-censored data.

Package: r-cran-picclip
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-base64enc, r-cran-stringr, r-cran-htmltools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-picclip_0.1.0-1.ca2004.1_all.deb
Size: 15832
MD5sum: d6e5f9113512104ecffc54be5871fc85
SHA1: 833e2cb26f2a107ff9f2ce5e4a19a36e71229632
SHA256: 556a0b65d753fc3a4100fad3ca7ea0818769bbf2e6cccfd257a0b5ecf82fc05b
SHA512: d890df847eceae6b2baad4567abee6a2bc5e4aeaaf663124c9fe396cde7d135df527075dbee6ff25914b4845bc5933883cb5c0ae42d0061ddce7544ee5962b30
Homepage: https://cran.r-project.org/package=picClip
Description: CRAN Package 'picClip' (Paste Box Input for 'Shiny')
 Provides a 'Shiny' input widget, pasteBoxInput, that allows users to paste
 images directly into a 'Shiny' application. The pasted images are captured
 as Base64 encoded strings and can be used within the application for various
 purposes, such as display or further processing.  This package is
 particularly useful for applications that require easy and quick image
 uploads without the need for traditional file selection dialog boxes.

Package: r-cran-picker
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2764
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-scales
Filename: pool/dists/focal/main/r-cran-picker_0.2.6-1.ca2004.1_all.deb
Size: 921896
MD5sum: 36f81346fc59672b5aaf67cc1836e0d5
SHA1: d51f2c86efe8203a93fd50a13b8605bd6ab4a5a7
SHA256: 0f19a8365d01c0d8b64e2c4b3b3000a7f12dcb711356b5139fcf99da359c1a92
SHA512: 672114a884a4fa2fbf211d54252adc2bae1ac63c4c0493a37b2b9d589e1665c411cebcf7f185a9faaac2403f4572bab949a79d639445c207c64a36fa80f7245e
Homepage: https://cran.r-project.org/package=picker
Description: CRAN Package 'picker' (Pick Data Points from a Deck.gl Scatterplot)
 Performant interactive scatterplot for ~ 1 million points. Zoom, pan, and
 pick points. Includes tooltips, labels, a grid overlay, legend, and coupled
 interactions across multiple plots.

Package: r-cran-picr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-picr_1.0.1-1.ca2004.1_all.deb
Size: 41796
MD5sum: c68cc8a4dd369f5e23995e2a7efb7207
SHA1: b330287ecfbefc94dc5015a29917ec8a3c02fe30
SHA256: 27a45b432cad6432eb4f18625c8973d145bd4a6aad349c8633bde2bc9473ca05
SHA512: c1b09ee4604893e536b30d93cec1cf09a41eae628566ae674a443fd85acf5b1e99ad2cb17509295f9bbee9190f7f52d9067e1626429bf11e8dbffa0e699be3b5
Homepage: https://cran.r-project.org/package=picR
Description: CRAN Package 'picR' (Predictive Information Criteria for Model Selection)
 Computation of predictive information criteria (PIC) from select model
 object classes for model selection in predictive contexts. In contrast to
 the more widely used Akaike Information Criterion (AIC), which are derived
 under the assumption that target(s) of prediction (i.e. validation data) are
 independently and identically distributed to the fitting data, the PIC are
 derived under less restrictive assumptions and thus generalize AIC to the
 more practically relevant case of training/validation data heterogeneity.
 The methodology featured in this package is based on Flores (2021)
 <https://iro.uiowa.edu/esploro/outputs/doctoral/A-new-class-of-information-criteria/9984097169902771?institution=01IOWA_INST>
 "A new class of information criteria for improved prediction in the presence
 of training/validation data heterogeneity".

Package: r-cran-pid
Architecture: all
Version: 0.50-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2010
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-png, r-cran-frf2, r-cran-doe.base, r-cran-frf2.catlg128
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-pid_0.50-1.ca2004.1_all.deb
Size: 871184
MD5sum: b9e97df21b73d6b103af00e1971ffa25
SHA1: 84f737e93567a456c40a7aeac5cd3d7c17c1803a
SHA256: 388e4953b6cbf6d2b02153b310573e57a5d4a7fa920cc1c3197c83f3334d6d31
SHA512: 8274a183cbea202e25fdc27c93a04560893897211c77645a851230e628e0a931f03faf40d0d2f1b52d2b8a0f9d7799b14c774fc5f6dea2b0b796a1303c39b576
Homepage: https://cran.r-project.org/package=pid
Description: CRAN Package 'pid' (Process Improvement using Data)
 A collection of scripts and data files for the statistics text: "Process
 Improvement using Data" <https://learnche.org/pid> and the online course
 "Experimentation for Improvement" found on Coursera. The package contains
 code for designed experiments, data sets and other convenience functions
 used in the book.

Package: r-cran-pie
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gglasso, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pie_1.0.0-1.ca2004.1_all.deb
Size: 140496
MD5sum: 9baa73a46a6116fc7d771dbc54e9c046
SHA1: f0098d4ec9f6602c93263f423d943abb1fc8ec80
SHA256: 724ed11decf720aacf35b0bbf0bc173d1aeb50c1c28fba8828c0ffa02d075f56
SHA512: 7394e39111d59749d3f61bcfc19d15ddc67f651d9758cd580b851406e26ff3b5d4368bf06fb9930dc2c7683a5eaf96197aba097e0ec93567a16189b8376ef494
Homepage: https://cran.r-project.org/package=PIE
Description: CRAN Package 'PIE' (A Partially Interpretable Model with Black-Box Refinement)
 Implements a novel predictive model, Partially Interpretable Estimators
 (PIE), which jointly trains an interpretable model and a black-box model to
 achieve high predictive performance as well as partial model. See the paper,
 Wang, Yang, Li, and Wang (2021) <doi:10.48550/arXiv.2105.02410>.

Package: r-cran-piecemaker
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-stringi, r-cran-stringr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-piecemaker_1.0.2-1.ca2004.1_all.deb
Size: 40092
MD5sum: f937705f33d543ea96e895e569094ae1
SHA1: 57e21dbd09682c979b0560ecf040afd2598041d4
SHA256: ac806ad200ef2e50c0267e362b2bef48da2f235a008ae28d893972092c493473
SHA512: bd535fc3c9956809bbf44c3a21d8578425d25264548a5fea5a30c37886cc7e21c7ae7481583e8814925c142aa90585460873779728456295f90fa5e3405e853a
Homepage: https://cran.r-project.org/package=piecemaker
Description: CRAN Package 'piecemaker' (Tools for Preparing Text for Tokenizers)
 Tokenizers break text into pieces that are more usable by machine learning
 models. Many tokenizers share some preparation steps.  This package provides
 those shared steps, along with a simple tokenizer.

Package: r-cran-piecenorms
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-scales, r-cran-r6, r-cran-classint, r-cran-univariateml, r-cran-coinr, r-cran-vdiffr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-piecenorms_1.1.0-1.ca2004.1_all.deb
Size: 182656
MD5sum: f276974f6b38a0e7ee1edf022116b218
SHA1: 5869e521cad55376f5ba96dc236d5a47b786865c
SHA256: 7a1034742c9bdc3178b8108c3994425ef207ee50b659ee75df5ba630b34c966e
SHA512: f6cce9a4b25d9d5acbe107099749ffc539e80727e08256a8974a654473d75d2b1ef7ed615bf2410ad8c16e9374ba9f11dd79b387aecf4d91aa6e34659bd70a49
Homepage: https://cran.r-project.org/package=piecenorms
Description: CRAN Package 'piecenorms' (Calculate a Piecewise Normalised Score Using Class Intervals)
 Provides an implementation of piecewise normalisation techniques useful when
 dealing with the communication of skewed and highly skewed data. It also
 provides utilities that recommends a normalisation technique based on the
 distribution of the data.

Package: r-cran-piecepackr
Architecture: all
Version: 1.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2472
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-affiner, r-cran-gridgeometry, r-cran-grimport2, r-cran-purrr, r-cran-jpeg, r-cran-png, r-cran-r6, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-animation, r-cran-ggplot2, r-cran-gifski, r-cran-gridpattern, r-cran-magick, r-cran-pdftools, r-cran-rayrender, r-cran-rayvertex, r-cran-readobj, r-cran-rgl, r-cran-scales, r-cran-systemfonts, r-cran-testthat, r-cran-tweenr, r-cran-vdiffr, r-cran-xmpdf, r-cran-xml
Filename: pool/dists/focal/main/r-cran-piecepackr_1.15.1-1.ca2004.1_all.deb
Size: 2218952
MD5sum: ad5e61e16d4fa7c3463736564a8f8f60
SHA1: a2fcae186d44a38eb49a3bd4db9af50a80c279a8
SHA256: c4e6b1321428056d7d7141b1ec0d4977c4c8fd260ed342328258ac7ac46e8c8f
SHA512: 3484fcf857c07918552ec2ca3bc603c88559f111b22fa00872178a8c1d28ba8bf8ba5a91b9008403af252e0eff92bb9740d4ec9361b5861ca3058cfaffb158f2
Homepage: https://cran.r-project.org/package=piecepackr
Description: CRAN Package 'piecepackr' (Board Game Graphics)
 Functions to make board game graphics with the 'ggplot2', 'grid',
 'rayrender', 'rayvertex', and 'rgl' packages.  Specializes in game diagrams,
 animations, and "Print & Play" layouts for the 'piecepack'
 <https://www.ludism.org/ppwiki> but can make graphics for other board game
 systems.  Includes configurations for several public domain game systems
 such as checkers, (double-18) dominoes, go, 'piecepack', playing cards, etc.

Package: r-cran-piecewisesem
Architecture: all
Version: 2.3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-diagrammer, r-cran-emmeans, r-cran-igraph, r-cran-lme4, r-cran-multcomp, r-cran-mumin, r-cran-mass, r-cran-nlme, r-cran-performance
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-piecewisesem_2.3.0.1-1.ca2004.1_all.deb
Size: 371744
MD5sum: 1a459b699d22b50ca90dc37a85430727
SHA1: 13aed2927349194346c1fa332d56c1bb8e7df4c1
SHA256: 05114bcb1f82f019414b2ec45f5c4e04e7476ffae3c3349910cc97e142197110
SHA512: 5ee9753edc142f1966c780706e949c13abb62dbc5fd38cd3d83794a75f7d9c0624c09460459cbdc2d79b9c36b5c6118b27f0fd60a60658bbbb3216def550e026
Homepage: https://cran.r-project.org/package=piecewiseSEM
Description: CRAN Package 'piecewiseSEM' (Piecewise Structural Equation Modeling)
 Implements piecewise structural equation modeling from a single list of
 structural equations, with new methods for non-linear, latent, and composite
 variables, standardized coefficients, query-based prediction and indirect
 effects. See <http://jslefche.github.io/piecewiseSEM/> for more.

Package: r-cran-pieglyph
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2647
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-ggiraph, r-cran-ggforce, r-cran-purrr, r-cran-forcats, r-cran-plyr, r-cran-scales, r-cran-cli
Suggests: r-cran-spelling, r-cran-ranger, r-cran-maps, r-cran-cowplot, r-cran-mapproj, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-pieglyph_1.0.0-1.ca2004.1_all.deb
Size: 732440
MD5sum: be03b0870313090649354b26496dadc3
SHA1: 9782c34a0d6663bec648133c4119b78045992f84
SHA256: 9501eea255c093486117e0e4d69a2cac9d5a15779fb4ce86c2a2f0b142e88461
SHA512: cf33689169fc52aa8234930c5bd4368b9ca261e0a4f48c69c880dd83f82e0ffa67b28dac36a7e26594aeac1412ad4879bec994c0311979d10fb345809d5f32df
Homepage: https://cran.r-project.org/package=PieGlyph
Description: CRAN Package 'PieGlyph' (Axis Invariant Scatter Pie Plots)
 Extends 'ggplot2' to help replace points in a scatter plot with pie-chart
 glyphs showing the relative proportions of different categories. The pie
 glyphs are independent of the axes and plot dimensions, to prevent
 distortions when the plot dimensions are changed.

Package: r-cran-piggyback
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-gh, r-cran-httr, r-cran-jsonlite, r-cran-fs, r-cran-lubridate, r-cran-memoise
Suggests: r-cran-spelling, r-cran-readr, r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-gert, r-cran-withr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-piggyback_0.1.5-1.ca2004.1_all.deb
Size: 556024
MD5sum: 3dc3e66881791c33f40fe0606ea253e8
SHA1: ce468089b70437c518d8125c3a3a667a5116281e
SHA256: ecdbe881349f3f726a6339cc1c9f52198b3f2fd2c1d655b667ec394d048fe93a
SHA512: ac2d42adf6eb116afebcccfed0ce34d4d18156a8aca4b85161e8c24d3fa7ddbbe73bbed50cc2d42488056265a810a616e7396246ee0fe38129bc600bd8f28af9
Homepage: https://cran.r-project.org/package=piggyback
Description: CRAN Package 'piggyback' (Managing Larger Data on a GitHub Repository)
 Because larger (> 50 MB) data files cannot easily be committed to git, a
 different approach is required to manage data associated with an analysis in
 a GitHub repository.  This package provides a simple work-around by allowing
 larger (up to 2 GB) data files to piggyback on a repository as assets
 attached to individual GitHub releases.  These files are not handled by git
 in any way, but instead are uploaded, downloaded, or edited directly by
 calls through the GitHub API. These data files can be versioned manually by
 creating different releases.  This approach works equally well with public
 or private repositories.  Data can be uploaded and downloaded
 programmatically from scripts. No authentication is required to download
 data from public repositories.

Package: r-cran-piglet
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1508
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-bioc-biostrings, r-bioc-decipher, r-cran-alakazam, r-cran-dendextend, r-cran-data.table, r-cran-tigger, r-cran-rlang, r-cran-splitstackshape, r-cran-zen4r, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-circlize, r-cran-r6, r-cran-jsonlite, r-cran-magrittr, r-bioc-ggmsa, r-bioc-complexheatmap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-htmltools, r-cran-stringi, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-piglet_1.0.1-1.ca2004.1_all.deb
Size: 1007260
MD5sum: f86cce6ac5fed3edcc18132574f13dd7
SHA1: c788909f048ac7c2a545295dcbcf4742aced2640
SHA256: 23f1b22224465ff4c0fe12fad410949b775cf0e627ab589da66112d41589649a
SHA512: 2b0bf99c028aa37a8e9fe9e1c35ea9c78a68a57872fbde788bb57eb21febcb9243a74a0a59e9ef5cf68813351ec1e8dce7fb68a23630471d5053a7e0ab934c82
Homepage: https://cran.r-project.org/package=piglet
Description: CRAN Package 'piglet' (Program for Inferring Ig Allele Similarity Clusters andGenotypes)
 Improves genotype inference and downstream AIRR-seq data analysis. Inference
 of allele similarity clusters, an alternative naming scheme and genotype
 inference for IGH repertoires.  The main tools are allele similarity
 clusters (ASC), and allele based genotype. The first tool is designed to
 reduce the ambiguity within the IGHV alleles. The ambiguity is caused by
 duplicated or similar alleles which are shared among different genes.  The
 second tool is an allele based genotype, that determined the presence of an
 allele based on a threshold derived from a naive population.  Citation:
 Peres, et al (2022) <doi:10.1101/2022.12.26.521922>.

Package: r-cran-pigshift
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-pigshift_1.0.1-1.ca2004.1_all.deb
Size: 475656
MD5sum: 301672a974a62ec1c14373b313c9fed6
SHA1: 9ca5941bc8c052705dba15aebc798488f4ebbfa5
SHA256: c873c41f45b38cf0110e602719a97c1a6b2a17f589ceb496ebc39ca4c5d3759d
SHA512: 0115f9e21f6b08f5037db43a960827060ce29340e1b0fe4c8d2e80d90adf0500350091a8b8c1a8b45ceb6a8a79f1f4b540c7b63b9cb4510b47aeea4a5b78f707
Homepage: https://cran.r-project.org/package=PIGShift
Description: CRAN Package 'PIGShift' (Polygenic Inverse Gamma Shifts)
 Fits models of gene expression evolution to expression data from coregulated
 groups of genes, assuming inverse gamma distributed rate variation.

Package: r-cran-pii
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-uuid
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pii_1.3.0-1.ca2004.1_all.deb
Size: 19844
MD5sum: 7713bcf3221dd666405c8cd427876ada
SHA1: 30f741d163d0d66fc84482101e3afd5944e562ae
SHA256: d37cd6a9b0470e422918c9a796f2697d9e7a1ffd3f0994d815b503f807224bd9
SHA512: 4e1beac136bdfee5bad59327fd1212586f7f2444a6fe301014552448555a58e24a2ea77eba921f4a1ac1b4b5108e2d50ca912b525b3095696c0db1a4a60bd70e
Homepage: https://cran.r-project.org/package=pii
Description: CRAN Package 'pii' (Search Data Frames for Personally Identifiable Information)
 Check a data frame for personal information, including names, location,
 disability status, and geo-coordinates.

Package: r-cran-piir
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-infotheo, r-cran-proc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-piir_0.2.1-1.ca2004.1_all.deb
Size: 30296
MD5sum: be8195994e856909e11bd8645ad85fa1
SHA1: a4933c2319aaad6ad8d3af3d47f023e24e0bafac
SHA256: 437fb019ded04b64cd99ac937ac6759cd6c7d4f9707d5cd37bb907176343b368
SHA512: a57ae97550938779dd33e9b7ae5500548123d7429c98a8eada99eb8edc5096940ea3f8f926186fed40fcefba7b1e6441dd208b09b0bba2dd1b81f68c69544a31
Homepage: https://cran.r-project.org/package=piiR
Description: CRAN Package 'piiR' (Predictive Information Index ('PII'))
 A simple implementation of the Predictive Information Index ('PII') using
 mutual information and entropy from the 'infotheo' package.  For related
 methodology, see Wells (2025) <https://github.com/TheotherDrWells/piiR>.

Package: r-cran-pillar
Architecture: all
Version: 1.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1368
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-utf8, r-cran-vctrs
Suggests: r-cran-bit64, r-cran-dbi, r-cran-debugme, r-cran-diagrammer, r-cran-dplyr, r-cran-formattable, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-nanotime, r-cran-nycflights13, r-cran-palmerpenguins, r-cran-rmarkdown, r-cran-scales, r-cran-stringi, r-cran-survival, r-cran-testthat, r-cran-tibble, r-cran-units, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pillar_1.10.2-1.ca2004.1_all.deb
Size: 592888
MD5sum: 72ae54686f57330db041116b0ec83cac
SHA1: bd1520f11793e2f7184db335065f29a2c513bbf7
SHA256: 40a570d05243b161ce3a98d90b08688b0b9288e76c728d61e6f1fedc46577c40
SHA512: 43c18e4c23473e3a20cdd2014bf6a7dcdda65dbb3e4f25cc8e1ebb659103d55bc75b16bc47d79c524e401a8b060b6e878a3674978938d5760b45bcdce06b891d
Homepage: https://cran.r-project.org/package=pillar
Description: CRAN Package 'pillar' (Coloured Formatting for Columns)
 Provides 'pillar' and 'colonnade' generics designed for formatting columns
 of data using the full range of colours provided by modern terminals.

Package: r-cran-pim
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 799
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nleqslv, r-cran-bb
Suggests: r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pim_2.0.4-1.ca2004.1_all.deb
Size: 646708
MD5sum: b39609e0f31d0a8cad5171140ef167b9
SHA1: db79cd951e656b72c23718edceb722d8d393b1f1
SHA256: b3a99ed91185598c07b259017e947a4a7f9af79e6819c8f396c91e7b43c51a2c
SHA512: 2ce120f99e73e330b88db414d70dffd3c84e8fa88421ff548b27792db23938bfb25f45684e4933013de556825fdba2ac83f7a1fe9e1ac14a8c344f7126e25540
Homepage: https://cran.r-project.org/package=pim
Description: CRAN Package 'pim' (Fit Probabilistic Index Models)
 Fit a probabilistic index model as described in Thas et al, 2012:
 <doi:10.1111/j.1467-9868.2011.01020.x>. The interface to the modeling
 function has changed in this new version. The old version is still available
 at R-Forge.

Package: r-cran-pinfsc50
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4234
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pinfsc50_1.3.0-1.ca2004.1_all.deb
Size: 3416068
MD5sum: 8661dcb03fbd989c19d5761bad6ae8dd
SHA1: 17edd77e1bd4a5451b43ab5a57baf3c4a704102e
SHA256: 2ce7e2253243d3030e24133c3b2d6f1d5295c1dd036439a41629c17ce48afca5
SHA512: 089a9f0d259786ec009d20b22430ba2354d8e63918bf39c273cee550fda6991e34f64b5440b34a9500941d12216fd4d3e8df0fe1bd96c03b2dfea897d61402f7
Homepage: https://cran.r-project.org/package=pinfsc50
Description: CRAN Package 'pinfsc50' (Sequence ('FASTA'), Annotation ('GFF') and Variants ('VCF') for17 Samples of 'P. Infestans" and 1 'P. Mirabilis')
 Genomic data for the plant pathogen "Phytophthora infestans." It includes a
 variant file ('VCF'), a sequence file ('FASTA') and an annotation file
 ('GFF'). This package is intended to be used as example data for packages
 that work with genomic data.

Package: r-cran-pingers
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tibble, r-cran-tictoc, r-cran-tidyselect, r-cran-data.table, r-cran-lubridate, r-cran-plotly, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-pingers_0.1.1-1.ca2004.1_all.deb
Size: 34944
MD5sum: c9bfb1eab6f3dd758aa46ca8e41079d2
SHA1: 6fd847a0439ed3a7daebb7c989c1aaf49414651a
SHA256: 66f1a667868f796ce2ca5f17c1c4e22fa6daaa36ced073c7dac65d0f430a1234
SHA512: 5605997659107f96f9d65ff3211cb276918e302f4af24330298968488f3130b2712dc33dcfbcb906e78996902a5590892fbb6c6c5499018e7b096f74650f68e6
Homepage: https://cran.r-project.org/package=pingers
Description: CRAN Package 'pingers' (Identify, Ping, and Log Internet Provider Connection Data)
 To assist you with troubleshooting internet connection issues and assist in
 isolating packet loss on your network. It does this by allowing you to
 retrieve the top trace route destinations your internet provider uses, and
 recursively ping each server in series while capturing the results and
 writing them to a log file.  Each iteration it queries the destinations
 again, before shuffling the sequence of destinations to ensure the analysis
 is unbiased and consistent across each trace route.

Package: r-cran-pinma
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-pinma_1.1-2-1.ca2004.1_all.deb
Size: 57312
MD5sum: d6324e31e602ebecbcf91bddd4f596ea
SHA1: ae3e498f150e7bd99c49194706122b187cb19ad0
SHA256: 4daf67fdc879289a6949e21e51a8b9517c67ce4a4609846d28cec3a87e37e3c6
SHA512: 6ed941c4f05a4e791810c82e2591d2b9abb372434d463ebb007e3938404cd578a90216142d657668033baeda8569cba9af6a7bf4c69f84525694be0f3f5f640a
Homepage: https://cran.r-project.org/package=PINMA
Description: CRAN Package 'PINMA' (Improved Methods for Constructing Prediction Intervals forNetwork Meta-Analysis)
 Improved methods to construct prediction intervals for network
 meta-analysis. The parametric bootstrap and Kenward-Roger-type adjustment by
 Noma et al. (2022) <forthcoming> are implementable.

Package: r-cran-pinnacle.api
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-openssl, r-cran-magrittr, r-cran-purrr, r-cran-uuid, r-cran-httr, r-cran-jsonlite, r-cran-rjson
Suggests: r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-pinnacle.api_2.3.3-1.ca2004.1_all.deb
Size: 123272
MD5sum: 109e3ce0939ac5ee65cc353ebb9d814c
SHA1: 4b9d4ae9ff79425150a9f991b0ac828abe27b18c
SHA256: b197172c977c95c6db539c04dab4190149652fdb94854aefc5d14979f5dec146
SHA512: 4d7ec6617636335b66e173fc7aff429628cddf20825a000f0257fa9d05dd27fb04bf23a7a3534704cc3edd69ba497afcb29ea3221d49bb8fb0c36913813f1edd
Homepage: https://cran.r-project.org/package=pinnacle.API
Description: CRAN Package 'pinnacle.API' (A Wrapper for the Pinnacle API)
 An interface to the API by Pinnacle that allows Pinnacle customers to
 interact with the sports market data in R.See
 <https://www.pinnacle.com/en/api> for more information. The Pinnacle API can
 be used to place wagers, retrieve line information, retrieve account
 information.Please be aware that the TOC of Pinnacle apply
 <https://www.pinnacle.com/en/termsandconditions>. An account with Pinnacle
 is necessary to use the Pinnacle API.

Package: r-cran-pinnacle.data
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-odds.converter, r-cran-tidyverse, r-cran-pinnacle.api, r-cran-lahman
Filename: pool/dists/focal/main/r-cran-pinnacle.data_0.1.4-1.ca2004.1_all.deb
Size: 2339332
MD5sum: 3866555bae43010b298dcd06496f01cf
SHA1: 59b21527c2ff298ffe7bf4abc95fa56bc5e461b2
SHA256: bc3ff1ec198641d7e67de5cd920ec3edf2e4b7607db82b521c8be05df2e351c7
SHA512: 5a9e64d6466f37338c9be206ad1bb204099852345bb7920a299e79784c173cf726e48b6d7c0cf636f99f575497c3598931573987312d871da75fb0146000bca9
Homepage: https://cran.r-project.org/package=pinnacle.data
Description: CRAN Package 'pinnacle.data' (Market Odds Data from Pinnacle)
 Market odds from from Pinnacle, an online sports betting bookmaker (see
 <https://www.pinnacle.com> for more information). Included are datasets for
 the Major League Baseball (MLB) 2016 season and the USA election 2016. These
 datasets can be used to build models and compare statistical information
 with the information from prediction markets.The Major League Baseball (MLB)
 2016 dataset can be used for sabermetrics analysis and also can be used in
 conjunction with other popular Major League Baseball (MLB) datasets such as
 Retrosheets or the Lahman package by merging by GameID.

Package: r-cran-pinochet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-kableextra, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-sf, r-cran-tidyverse, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pinochet_0.1.0-1.ca2004.1_all.deb
Size: 571292
MD5sum: efc34327f543363307cd8cf0559ad734
SHA1: 38561a79e667eaa8d6b73fbe55d1a840f5ff6b5c
SHA256: d135be2a60fe14bb74330a0cc291a5ae67f3bb918d4e897779b1e5997d0218c2
SHA512: 1123f8c5d88d1679fd153af6ad859d85c98bddc1d3ac3be7d43cf8fe6e75deefbe5dfcbca078e68e03d7c9f740212e9e894ba381d9bec67951ada658b2d36507
Homepage: https://cran.r-project.org/package=pinochet
Description: CRAN Package 'pinochet' (Data About the Victims of the Pinochet Regime, 1973-1990)
 Packages data about the victims of the Pinochet regime as compiled by the
 Chilean National Commission for Truth and Reconciliation Report (1991,
 ISBN:9780268016463).

Package: r-cran-pinp
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pinp_0.0.11-1.ca2004.1_all.deb
Size: 94968
MD5sum: 396d97066d16799433426753da58f039
SHA1: aca8cb74177e90a589c244c7843c97735a2a25c9
SHA256: 558cc71ff400dabbe6b60da5e5482dbc71d208e86d89c06c663dfee886148076
SHA512: b515b5298715ded8a128e6e118f74bcdd6ac3192ba7086543b1ad4fd393659385104085530ebd4b5dc50be822b4b0c46a8e7009e0083a6de17335b4341f62ee5
Homepage: https://cran.r-project.org/package=pinp
Description: CRAN Package 'pinp' ('pinp' is not 'PNAS')
 A 'PNAS'-alike style for 'rmarkdown', derived from the 'Proceedings of the
 National Academy of Sciences of the United States of America' ('PNAS')
 'LaTeX' style, and adapted for use with 'markdown' and 'pandoc'.

Package: r-cran-pins
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 985
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-digest, r-cran-fs, r-cran-generics, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rappdirs, r-cran-rlang, r-cran-tibble, r-cran-whisker, r-cran-withr, r-cran-yaml
Suggests: r-cran-archive, r-cran-arrow, r-cran-azurestor, r-cran-covr, r-cran-data.table, r-cran-filelock, r-cran-gitcreds, r-cran-googlecloudstorager, r-cran-googledrive, r-cran-httr2, r-cran-ids, r-cran-knitr, r-cran-microsoft365r, r-cran-mime, r-cran-mockery, r-cran-nanoparquet, r-cran-openssl, r-cran-paws.storage, r-cran-qs, r-cran-r.utils, r-cran-rmarkdown, r-cran-rsconnect, r-cran-shiny, r-cran-sodium, r-cran-testthat, r-cran-webfakes, r-cran-xml2, r-cran-zip
Filename: pool/dists/focal/main/r-cran-pins_1.4.1-1.ca2004.1_all.deb
Size: 679044
MD5sum: 7855f73c75e250108221e353c149f011
SHA1: 3150e0c6fc1156ec40f7548e7227af10787fc459
SHA256: d786ec05613a74c8533f9eb9fc34b2235d0432c35169ed6d988aae06d14127f4
SHA512: fcb1cb36ca9b346c959672511efea2019d8b8394401d1a128e01d4beab18de304df9ad718cabf1d8ef7ebd896d10b646481728fd0a03e842a2bb76ad8564d7f7
Homepage: https://cran.r-project.org/package=pins
Description: CRAN Package 'pins' (Pin, Discover, and Share Resources)
 Publish data sets, models, and other R objects, making it easy to share them
 across projects and with your colleagues. You can pin objects to a variety
 of "boards", including local folders (to share on a networked drive or with
 'DropBox'), 'Posit Connect', 'AWS S3', and more.

Package: r-cran-pinstimation
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4116
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack, r-cran-knitr, r-cran-skellam, r-cran-nloptr, r-cran-furrr, r-cran-future, r-cran-dplyr, r-cran-rmarkdown, r-cran-coda
Suggests: r-cran-fansi, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-pinstimation_0.1.2-1.ca2004.1_all.deb
Size: 2199492
MD5sum: e1b3d164901c7f1919740541b21c56fa
SHA1: 64fa45dcef11d7b54c07eb1e8d76b75ca758b00b
SHA256: 9be443dedaefe4aa2b038bac4270e3e8aa1236accc3154681b62682e1a7dcb50
SHA512: f13c20f1edb4a1982655bbe1dfc88dc4cbf0978c424e06748dfcfeda7de9df8b569079d6b892907ca19e582f83da235f7290cd1b558d51ca7e8617d63d59b000
Homepage: https://cran.r-project.org/package=PINstimation
Description: CRAN Package 'PINstimation' (Estimation of the Probability of Informed Trading)
 A comprehensive bundle of utilities for the estimation of probability of
 informed trading models: original PIN in Easley and O'Hara (1992) and Easley
 et al. (1996); Multilayer PIN (MPIN) in Ersan (2016); Adjusted PIN (AdjPIN)
 in Duarte and Young (2009); and volume-synchronized PIN (VPIN) in Easley et
 al. (2011, 2012). Implementations of various estimation methods suggested in
 the literature are included. Additional compelling features comprise
 posterior probabilities, an implementation of an expectation-maximization
 (EM) algorithm, and PIN decomposition into layers, and into bad/good
 components. Versatile data simulation tools, and trade classification
 algorithms are among the supplementary utilities. The package provides fast,
 compact, and precise utilities to tackle the sophisticated, error-prone, and
 time-consuming estimation procedure of informed trading, and this solely
 using the raw trade-level data.

Package: r-cran-pinterestadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-pinterestadsr_0.1.0-1.ca2004.1_all.deb
Size: 22164
MD5sum: d6d32541ac63dd60269feb5172c062cd
SHA1: 0f60b8f4a898f11e1b3702a725ae30aa67ff8265
SHA256: 364d0c40c8cb510849439deec88fd19ec494544d47874fb2fd31c89e5aeb0900
SHA512: b53b1237502a836be39037b0543a6a0eb92e9efa621c63257ccf66dcbae749dfac5be2b1de63625c15f945b930f351c997a9cfec42ff645cc2bcc7ebc61e381d
Homepage: https://cran.r-project.org/package=pinterestadsR
Description: CRAN Package 'pinterestadsR' (Access to Pinterest Ads via the 'Windsor.ai' API)
 Collect marketing data from Pinterest Ads using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.  Use four spaces when indenting paragraphs
 within the Description.

Package: r-cran-pintervals
Architecture: all
Version: 0.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-foreach, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pintervals_0.7.7-1.ca2004.1_all.deb
Size: 76348
MD5sum: a99f601f3827cf78218f03d0da333f1b
SHA1: 7998d190b394091e10d0500c3e8e5c0f93d48086
SHA256: ff552d1975c2afe8a54647da633a344f6be2a7750fc7d0421e1661cfb165309a
SHA512: 0b4f87fb54b8fa04a0ae60fed1fecab6ffe9f0f0e2db748e931b1fb36ef49387c284d0a458189a3ae20d5d63eb83294fed82a2851cddf711206426c890d10837
Homepage: https://cran.r-project.org/package=pintervals
Description: CRAN Package 'pintervals' (Model Agnostic Prediction Intervals)
 Provides tools for estimating model-agnostic prediction intervals using
 conformal prediction, bootstrapping, and parametric prediction intervals.
 The package is designed for ease of use, offering intuitive functions for
 both binned and full conformal prediction methods, as well as parametric
 interval estimation with diagnostic checks. Currently only working for
 continuous predictions. For details on the conformal and bin-conditional
 conformal prediction methods, see Randahl, Williams, and Hegre (2024)
 <DOI:10.48550/arXiv.2410.14507>.

Package: r-cran-pinyin
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-splitstackshape, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pinyin_1.1.6-1.ca2004.1_all.deb
Size: 300296
MD5sum: 48ced09d6033bb93f637f8e83f35ddc8
SHA1: 68def772cb8b0c5546fe0b935d418f5d27c78ba4
SHA256: ed5973915b473c685abf006a6c76b99abaca74f10342f61eb23e58ff3b64415e
SHA512: 7870856463c0403619811a0515c64d23da073e5e1e8bd6734dd713e4567c111fd16473e475b69b411aa4d427bddfd2930c6ef0eef564934384b921d7548d32b8
Homepage: https://cran.r-project.org/package=pinyin
Description: CRAN Package 'pinyin' (Convert Chinese Characters into Pinyin, Sijiao, Wubi or OtherCodes)
 Convert Chinese characters into Pinyin (the official romanization system for
 Standard Chinese in mainland China, Malaysia, Singapore, and Taiwan. See
 <https://en.wikipedia.org/wiki/Pinyin> for details), Sijiao (four or five
 numerical digits per character. See
 <https://en.wikipedia.org/wiki/Four-Corner_Method>.), Wubi (an input method
 with five strokes. See <https://en.wikipedia.org/wiki/Wubi_method>) or
 user-defined codes.

Package: r-cran-pioneer
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-bslib, r-cran-bsicons, r-cran-cli, r-cran-ggplot2, r-cran-haven, r-cran-htmltools, r-cran-lpsolveapi, r-cran-markdown, r-cran-reactable, r-cran-readxl, r-cran-rlang, r-cran-scales, r-cran-writexl
Suggests: r-cran-dear, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pioneer_0.5.0-1.ca2004.1_all.deb
Size: 246824
MD5sum: b91235bc72daccd2212743f366195de7
SHA1: f55a0d72c314310899435a8d82ee93539cc71ab8
SHA256: 8649fe6dda8b42feedb790ed421bc5d1fe02a749862958bcf3af3c41d2ebd878
SHA512: b767402a7a122722169c7048624321d7e987bccc5b7a197bcd37d37846d1e776f86f14445131b65089e73e9f90f4ced05d5cbe854e10845a83ed73775334e236
Homepage: https://cran.r-project.org/package=pioneeR
Description: CRAN Package 'pioneeR' (Productivity and Efficiency Analysis using DEA)
 Measure productivity and efficiency using Data Envelopment Analysis (DEA).
 Available methods include DEA under different technology assumptions,
 bootstrapping of efficiency scores and calculation of the Malmquist
 productivity index. Analyses can be performed either in the console or with
 the provided 'shiny' app. See Banker, R.; Charnes, A.; Cooper, W.W. (1984)
 <doi:10.1287/mnsc.30.9.1078>, Färe, R.; Grosskopf, S. (1996)
 <doi:10.1007/978-94-009-1816-0>.

Package: r-cran-pipe.design
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gtools, r-cran-xtable
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-pipe.design_0.5.1-1.ca2004.1_all.deb
Size: 127792
MD5sum: 958a5fbb1c0a783350f5432cebb07ea8
SHA1: d7ba5374e6f10059fa5aadfaab7b8dc89c903e05
SHA256: 3612e81837bbb6e31f143fdfe0b2fd03e2d9660dc503b6da0223814ee35afc37
SHA512: afe543d082926a33cfabd44e81a573977fd8d3fd76f0c1fd7eab7cffac1d7d723ba33cd6fabac6585cd1cb07dcf0186536f1835f781e92740c41415978d82228
Homepage: https://cran.r-project.org/package=pipe.design
Description: CRAN Package 'pipe.design' (Dual-Agent Dose Escalation for Phase I Trials using the PIPEDesign)
 Implements the Product of Independent beta Probabilities dose Escalation
 (PIPE) design for dual-agent Phase I trials as described in Mander AP,
 Sweeting MJ (2015) <DOI:10.1002/sim.6434>.

Package: r-cran-pipebind
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pipebind_0.1.2-1.ca2004.1_all.deb
Size: 24888
MD5sum: 55e9a993079fe18cb84ad52ed69bf48c
SHA1: 7ee5c1ae352a1241157e83c056d072e204b41c5e
SHA256: 54abfffb9c43e78f6f6a6ba397105a33350c83f4dd3b4de1c08de2565db29f22
SHA512: b2c1d0f83a0a0b39bcdac8618c1a8a8283bcc28c7238108e991846cb79d872bcf85b95c69172d323f72fd49d6e8a6dac2bd7541cf3ee2cf098d503f7e28b57a8
Homepage: https://cran.r-project.org/package=pipebind
Description: CRAN Package 'pipebind' (Flexible Binding for Complex Function Evaluation with the Base R|> Pipe)
 Provides a simple function to bind a piped object to a placeholder symbol to
 enable complex function evaluation with the base R |> pipe.

Package: r-cran-pipefittr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-miniui, r-cran-rstudioapi, r-cran-shiny, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pipefittr_0.1.2-1.ca2004.1_all.deb
Size: 26964
MD5sum: 75e3b86a99d8329366d6c8c50d370cd7
SHA1: 7a99c0740c17e41597b53752f8e91501041bb814
SHA256: c352453cf63301ff12672cf13d7abf1f72fd2c48fdde471b65966be96e79c4e3
SHA512: 38e9fb0295c8c93cb189074d659b41d0fc18fdbcb342317f716d05f550bbf93a5074e2d3725faa5f4faa917ee1c4985aceaeb13e755c3dea24c63d134d9c9e16
Homepage: https://cran.r-project.org/package=pipefittr
Description: CRAN Package 'pipefittr' (Convert Nested Functions to Pipes)
 To take nested function calls and convert them to a more readable form using
 pipes from package 'magrittr'.

Package: r-cran-pipeflow
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3436
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-lgr, r-cran-r6
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-pipeflow_0.2.2-1.ca2004.1_all.deb
Size: 632956
MD5sum: c6909264535ac846363d0c8772a620ba
SHA1: 2d479b82cd39432cf217e26414c357a7b7ee58a2
SHA256: 298da8603a82c85ab7b4be76bd7162c42f752213687ab1fe47ec19c0c7ee36f5
SHA512: 639fd2362345fcc3a4f1f42815ad3cb4ab4c473ee210ecd5825a5154f9e9a4d2342d54b486e64217359ef73cfe9c7f46a88de21800cc4fa4504025817bd46ab4
Homepage: https://cran.r-project.org/package=pipeflow
Description: CRAN Package 'pipeflow' (Lightweight, General-Purpose Data Analysis Pipelines)
 A lightweight yet powerful framework for building robust data analysis
 pipelines. With 'pipeflow', you initialize a pipeline with your dataset and
 construct workflows step by step by adding R functions.  You can modify,
 remove, or insert steps and parameters at any stage, while 'pipeflow'
 ensures the pipeline's integrity.  Overall, this package offers a
 beginner-friendly framework that simplifies and streamlines the development
 of data analysis pipelines by making them modular, intuitive, and adaptable.

Package: r-cran-pipegs
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pipegs_0.4-1.ca2004.1_all.deb
Size: 147148
MD5sum: 5f2e5a4f788c5083d2ca09bd7e331de6
SHA1: 2fb1a72d368d1b4cd31df7c0b7c7db37e8a15cda
SHA256: 686720a5fd0eeaf7f9075731bb8604aaa2985c8b962a6ca5f4aa23ef2c55728a
SHA512: dee7900d858675b950de3b3264c07f2b68834654200e20fffd130ab4fcc3cba817b9a447e0754f4edc616936a9ef2127520ffc8d30809bf2e1f63654b3bfa1dd
Homepage: https://cran.r-project.org/package=pipeGS
Description: CRAN Package 'pipeGS' (Permutation p-Value Estimation for Gene Set Tests)
 Code for various permutation p-values estimation methods for gene set test.
 The description of corresponding methods can be found in the dissertation of
 Yu He(2016) "Efficient permutation P-value estimation for gene set tests"
 <https://searchworks.stanford.edu/view/11849351>. One of the methods also
 corresponds to the paper "Permutation p-value approximation via generalized
 Stolarsky invariance" <arXiv:1603.02757>.

Package: r-cran-pipeliner
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-modelr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-pipeliner_0.1.1-1.ca2004.1_all.deb
Size: 60696
MD5sum: 2da70c64df68c75e16a939f7e1c74057
SHA1: 91634d22e49224d9d569124b48abd64c10de05a4
SHA256: b31688b6e3696377cbb85ab3a90446454fb794b325449a15e48432d181f0bd43
SHA512: dc1bf34bd42e01fccf4572872b21952471e5950ac11059f55c80ee8c04fba8dda2998a2b1695e725931805eb1da96cd14fe3be5f5433d8c0eea3855959916d7c
Homepage: https://cran.r-project.org/package=pipeliner
Description: CRAN Package 'pipeliner' (Machine Learning Pipelines for R)
 A framework for defining 'pipelines' of functions for applying data
 transformations, model estimation and inverse-transformations, resulting in
 predicted value generation (or model-scoring) functions that automatically
 apply the entire pipeline of functions required to go from input to
 predicted output.

Package: r-cran-pipenostics
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1123
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-iapws
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pipenostics_0.2.0-1.ca2004.1_all.deb
Size: 992792
MD5sum: a7c9d8ae10981d3794e42ca5b889ba10
SHA1: c65ace4604a6095f895d4126202b1df5045e909b
SHA256: 6c9cd83480e93667c4fae3ccbf9bd621a29ac87341372d42fff386243c130cb9
SHA512: 50277a872555b731d5e0f6a7106cbff091b1ad5b2dd66d98da84157d64ec0427bc9ddcb813c8dd57c8c87faaffc7336c6af88cd3158cb7be3b76494025103b77
Homepage: https://cran.r-project.org/package=pipenostics
Description: CRAN Package 'pipenostics' (Diagnostics, Reliability and Predictive Maintenance of PipelineSystems)
 Functions representing some useful empirical and data-driven models of heat
 loss, corrosion diagnostics, reliability and predictive maintenance of
 pipeline systems. The package is an option for technical engineering
 departments of heat generating and heat transfer companies that use or plan
 to use regulatory calculations in their activities.  Methods are described
 in Timashev et al. (2016) <doi:10.1007/978-3-319-25307-7>, A.C.Reddy (2017)
 <doi:10.1016/j.matpr.2017.07.081>, Minenergo (2008)
 <https://docs.cntd.ru/document/902148459>, Minenergo (2005)
 <https://docs.cntd.ru/document/1200035568>, Xing LU. (2014)
 <doi:10.1080/23744731.2016.1258371>.

Package: r-cran-piper
Architecture: all
Version: 0.6.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-piper_0.6.1.3-1.ca2004.1_all.deb
Size: 47908
MD5sum: 959b4a63c8700b5ce1e092802cea5b3e
SHA1: cf7568a45ddf44a559e5b2ce8783617f94b647a4
SHA256: 26e46d0819a40b3e23fd323976314bf65a3b08790a776808aaa378addcbac6d0
SHA512: 47a833a51b58df4c7c33185fc57492fa4f51aeea1623e03518253ed7b528dd2e1cae2da59efd9a1f943b1290cf02761d5c50afd4013687efa6ac539bb96ea732
Homepage: https://cran.r-project.org/package=pipeR
Description: CRAN Package 'pipeR' (Multi-Paradigm Pipeline Implementation)
 Provides various styles of function chaining methods: Pipe operator, Pipe
 object, and pipeline function, each representing a distinct pipeline model
 yet sharing almost a common set of features: A value can be piped to the
 first unnamed argument of a function and to dot symbol in an enclosed
 expression. The syntax is designed to make the pipeline more readable and
 friendly to a wide range of operations.

Package: r-cran-pips
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pips_1.0.1-1.ca2004.1_all.deb
Size: 58428
MD5sum: f69081ba1c52490594f41a405facf94b
SHA1: c96a0d888ef3f22cd6e08927c406acbf4aea6690
SHA256: 9b84ca15a48bc09ec93f60170bc17e41dd4b6cd958a4bbd39f594239952efcc3
SHA512: 36e653d46cb26b4fd08bc273ffe18e7a664d4938686697ac282da3e31d63fb787e2ba0af370e07dbfa79421b31047cbfebbf8580082242a1a217c020442fb493
Homepage: https://cran.r-project.org/package=PIPS
Description: CRAN Package 'PIPS' (Predicted Interval Plots)
 Generate Predicted Interval Plots.  Simulate and plot confidence intervals
 of an effect estimate given observed data and a hypothesis about the
 distribution of future data.

Package: r-cran-piratings
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-piratings_0.1.9-1.ca2004.1_all.deb
Size: 49452
MD5sum: f77a4fe28c587282543501b471af8890
SHA1: f21a3fdfb994755896fdb8be40afd55a1d07e071
SHA256: 29c3cefbbb9af2baca7880004b4e09f330eeea25636ae53760d963b788d84afc
SHA512: e5c97d67e2f1e6397b7beadf7c23fd5f2e18b1d1d98fb09555072762a9a20e797510884066982ac1196e45e40c8d4201eb5092f41610229b74533f9dd42ac576
Homepage: https://cran.r-project.org/package=piratings
Description: CRAN Package 'piratings' (Calculate Pi Ratings for Teams Competing in Sport Matches)
 Calculate and optimize dynamic performance ratings of association football
 teams competing in matches, in accordance with the method used in the
 research paper "Determining the level of ability of football teams by
 dynamic ratings based on the relative discrepancies in scores between
 adversaries", by Constantinou and Fenton (2013) <doi:10.1515/jqas-2012-0036>
 This dynamic rating system has proven to provide superior results for
 predicting association football outcomes.

Package: r-cran-pirf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-devtools, r-cran-foreach, r-cran-doparallel, r-cran-hdrcde, r-cran-rfinterval, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-pirf_0.1.0-1.ca2004.1_all.deb
Size: 129956
MD5sum: f9d70cb018ccefbf908867fad5372f62
SHA1: a8429da0405b6fd8191f15302cb0af344223a1be
SHA256: d811db5e6f4e73e581d4e76de4b4482e98a453333758a5ab642fe74e09acad15
SHA512: 45149d9859015fb53366c96e989462229c8631b8ecc0cdc3d02bd498ab73d76a605e0053e4d6afc6279034ce1edada57b67e530910671d7eaa552c696e6344f8
Homepage: https://cran.r-project.org/package=piRF
Description: CRAN Package 'piRF' (Prediction Intervals for Random Forests)
 Implements multiple state-of-the-art prediction interval methodologies for
 random forests.  These include: quantile regression intervals, out-of-bag
 intervals, bag-of-observations intervals, one-step boosted random forest
 intervals, bias-corrected intervals, high-density intervals, and
 split-conformal intervals. The implementations include a combination of
 novel adjustments to the original random forest methodology and novel
 prediction interval methodologies. All of these methodologies can be
 utilized using solely this package, rather than a collection of separate
 packages. Currently, only regression trees are supported. Also capable of
 handling high dimensional data.  Roy, Marie-Helene and Larocque, Denis
 (2019) <doi:10.1177/0962280219829885>.  Ghosal, Indrayudh and Hooker, Giles
 (2018) <arXiv:1803.08000>.  Zhu, Lin and Lu, Jiaxin and Chen, Yihong (2019)
 <arXiv:1905.10101>.  Zhang, Haozhe and Zimmerman, Joshua and Nettleton, Dan
 and Nordman, Daniel J. (2019) <doi:10.1080/00031305.2019.1585288>.
 Meinshausen, Nicolai (2006)
 <http://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf>.
 Romano, Yaniv and Patterson, Evan and Candes, Emmanuel (2019)
 <arXiv:1905.03222>.  Tung, Nguyen Thanh and Huang, Joshua Zhexue and Nguyen,
 Thuy Thi and Khan, Imran (2014) <doi:10.13140/2.1.2500.8002>.

Package: r-cran-pirouette
Architecture: all
Version: 1.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1336
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-beautier, r-cran-beastier, r-cran-babette, r-cran-ddd, r-cran-forcats, r-cran-magrittr, r-cran-mauricer, r-cran-mcbette, r-cran-nodesub, r-cran-phangorn, r-cran-phytools, r-cran-plyr, r-cran-pryr, r-cran-readr, r-cran-stringr, r-cran-tess, r-cran-tibble, r-cran-tidyr, r-cran-tracerer, r-cran-xtable
Suggests: r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-lintr, r-cran-markdown, r-cran-nltt, r-cran-rappdirs, r-cran-rmarkdown, r-cran-rmpfr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pirouette_1.6.9-1.ca2004.1_all.deb
Size: 785048
MD5sum: d27e9caf2c70a3206e9fe5097028984b
SHA1: a32165e50df46de7153c0c6225bacb5a94d5d1a1
SHA256: 4098e9463feb807bf44a435c8e5794596d8c4a8b139f4e8d0e6b4670581cb622
SHA512: e36f1444394a778c85a21db8f68c876a0f222f09f93cbc16835b40837607608ef7426ee545fa2ee14bc1c9e64d1482c0fc88be23b3da6b511ff146139c352153
Homepage: https://cran.r-project.org/package=pirouette
Description: CRAN Package 'pirouette' (Create a Bayesian Posterior from a Phylogeny)
 Theoretical biologists are interested in measuring the extent at which we
 can measure the truth. This package allows to create a Bayesian posterior
 from a phylogeny that depicts the true evolutionary relationships. The given
 and true phylogeny can than be compared to the posterior phylogenies.
 Richèl J. C. Bilderbeek, Giovanni Laudanno, Rampal S. Etienne (2020)
 "Quantifying the impact of an inference model in Bayesian phylogenetics"
 <doi:10.1111/2041-210X.13514>.

Package: r-cran-pisart
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pisart_2.0.2-1.ca2004.1_all.deb
Size: 154632
MD5sum: 38d28e864c6124b0b77e9677b6a07bd5
SHA1: 7f6bc0ae7b95b7a5d168e50aec0eb9db3943e6fa
SHA256: ab5ce1ed838dab67c236fd2be4e0d877bf0d88cd6468c91f8294755ebc8c3759
SHA512: 671197ca4e6dbd285044ac298f418031ef18549cfbff1492ab169b66fcdf23a3f2601ff29d0bff8182645c925b333c6cd567faee51976bfa3cadc1b745437778
Homepage: https://cran.r-project.org/package=pisaRT
Description: CRAN Package 'pisaRT' (Small Example Response and Response Time Data from PISA 2018)
 Scored responses and responses times from the Canadian subsample of the PISA
 2018 assessment, accessible as the "Cognitive items total time/visits data
 file" by OECD (2020) <https://www.oecd.org/pisa/data/2018database/>.

Package: r-cran-pitchrx
Architecture: all
Version: 1.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-xml2r, r-cran-plyr, r-cran-mass, r-cran-hexbin, r-cran-mgcv
Suggests: r-cran-dbi, r-cran-dplyr, r-cran-rsqlite, r-cran-knitr, r-cran-animation, r-cran-shiny, r-cran-testthat, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-pitchrx_1.8.2-1.ca2004.1_all.deb
Size: 1021904
MD5sum: d5d3bc652e6de506e05d61b192c0c427
SHA1: 0039c41219c38914c67f4a6e832af71405e9da83
SHA256: e6f4d044584034f8da4f2dc853e44b83d078ea29d9906bab52eaad88e5ce75fc
SHA512: 4a7f71ce7f50a5943ecb4f2f3f2545b9db17f36efb6f567834cc9043eb5176b7136a6e4b708c05408760cb7d48cb5da2c469c70634f92a1e4e94b6583b788459
Homepage: https://cran.r-project.org/package=pitchRx
Description: CRAN Package 'pitchRx' (Tools for Harnessing 'MLBAM' 'Gameday' Data and Visualizing'pitchfx')
 With 'pitchRx', one can easily obtain Major League Baseball Advanced Media's
 'Gameday' data (as well as store it in a remote database). The 'Gameday'
 website hosts a wealth of data in XML format, but perhaps most interesting
 is 'pitchfx'. Among other things, 'pitchfx' data can be used to recreate a
 baseball's flight path from a pitcher's hand to home plate. With pitchRx,
 one can easily create animations and interactive 3D 'scatterplots' of the
 baseball's flight path. 'pitchfx' data is also commonly used to generate a
 static plot of baseball locations at the moment they cross home plate. These
 plots, sometimes called strike-zone plots, can also refer to a plot of event
 probabilities over the same region. 'pitchRx' provides an easy and robust
 way to generate strike-zone plots using the 'ggplot2' package.

Package: r-cran-pivmet
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-mclust, r-cran-mass, r-cran-corpcor, r-cran-runjags, r-cran-rstan, r-cran-bayesmix, r-cran-rjags, r-cran-mvtnorm, r-cran-bayesplot, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pivmet_0.6.0-1.ca2004.1_all.deb
Size: 209896
MD5sum: 2c0a81bd0ca346c858a49c75882637f8
SHA1: 9521a833907da579680e9affa17526757c70f09d
SHA256: e85412adac43c38a62b52ca0e29f9621b6e49e6e398c927946fac32cc7d9dd5e
SHA512: 65c240f1b423afb332b9dca1b2fb3f213ca6cd3fc7f315349a14ffe22d8f10ead9ad2b94d04ecdcd6531b21d6d2749effd41be7f885d193642db751ee15bf202
Homepage: https://cran.r-project.org/package=pivmet
Description: CRAN Package 'pivmet' (Pivotal Methods for Bayesian Relabelling and k-Means Clustering)
 Collection of pivotal algorithms for: relabelling the MCMC chains in order
 to undo the label switching problem in Bayesian mixture models; fitting
 sparse finite mixtures; initializing the centers of the classical k-means
 algorithm in order to obtain a better clustering solution.  For further
 details see Egidi, Pappadà, Pauli and Torelli (2018b)<ISBN:9788891910233>.

Package: r-cran-pivotalp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zipfr
Filename: pool/dists/focal/main/r-cran-pivotalp_0.1.2-1.ca2004.1_all.deb
Size: 48400
MD5sum: 5479f5a74769bcc45107d3fb1cd21cac
SHA1: 51b68e9f78d66cb776d0d4cf4055d0f9d42b15d6
SHA256: 1ba5847ae5a51372c4b4190198db8f98ca0968eb692dd2d7ca1b97143ed42119
SHA512: e2501aa92d4a2dcbb93a1ac92612b223009ff7c0d0a03a70716d92a754abd56ca8c21245d7365c7f40fbefad18d0420f908e61cd076ab6641824fd06c251cf04
Homepage: https://cran.r-project.org/package=PivotalP
Description: CRAN Package 'PivotalP' (Prediction for Future Data from Mixture Distributions Gamma,Beta, Weibull and Normal)
 Functions to get prediction intervals and prediction points of future
 observations from mixture distributions like gamma, beta, Weibull and
 normal.

Package: r-cran-pivotaltrackr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-httr
Suggests: r-cran-httptest, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pivotaltrackr_0.2.0-1.ca2004.1_all.deb
Size: 40096
MD5sum: 49f7c52c3269d1009a63343e6d7c0f22
SHA1: d0bff963bd796514b36c0ceb1b3f2e497d411e17
SHA256: 21dd066749425631e38412b3940e30ed6b2cfd9f2ec6d31f7ee513b60d06b9ca
SHA512: 8d4dc714fef0ded8f1c0ed83ef8644a5aa16be2574fad246c20971a40c999edb91723b3e22a21d46e8b23fe134ce1ce145bed2b4c4d3351e5d722e3473f43887
Homepage: https://cran.r-project.org/package=pivotaltrackR
Description: CRAN Package 'pivotaltrackR' (A Client for the 'Pivotal Tracker' API)
 'Pivotal Tracker' <https://www.pivotaltracker.com> is a project management
 software-as-a-service that provides a REST API. This package provides an R
 interface to that API, allowing you to query it and work with its responses.

Package: r-cran-pivotea
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pivotea_1.0.2-1.ca2004.1_all.deb
Size: 47668
MD5sum: f638ba541da4b7d02fc787ab856a72a7
SHA1: 1d835eeebeeb391b25ac663232ddadbf5be8b975
SHA256: fb92063e30641a72ac43e97171338fc99bcfad713639f205f2f5f40603cf48e3
SHA512: 3ee91fb9adc5e13410f0a14fff262e7041f75477ccf5363a5f47262561bd172e73cb058c0d7b7dd2606b0201e84b575902d679b678f4fd43dbebd8b117587fe0
Homepage: https://cran.r-project.org/package=pivotea
Description: CRAN Package 'pivotea' (Create Pivot Table Easily)
 Pivot easily by specifying rows, columns, values and split.

Package: r-cran-pivottabler
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4427
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-data.table, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-ggplot2, r-cran-jsonlite, r-cran-lubridate, r-cran-listviewer, r-cran-openxlsx, r-cran-basictabler, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pivottabler_1.5.6-1.ca2004.1_all.deb
Size: 4164380
MD5sum: abc201c183bbcaa27725cad038fae663
SHA1: 748111b54cf3d6a337d42977362b9bd5c482320a
SHA256: 54b483683b0f3b5700bf6372529e14a918c31593ab902c2a21f179ecd5c789e3
SHA512: afdfb3b496366d7941c668190e30a91ae60cd0f5bc5332c6339ad50d3b27003825c8e3056bfadcc1dd6b249abd925e9ef5847cbcf24ab71faffc58fe0f16eded
Homepage: https://cran.r-project.org/package=pivottabler
Description: CRAN Package 'pivottabler' (Create Pivot Tables)
 Create regular pivot tables with just a few lines of R.  More complex pivot
 tables can also be created, e.g. pivot tables with irregular layouts,
 multiple calculations and/or derived calculations based on multiple data
 frames.  Pivot tables are constructed using R only and can be written to a
 range of output formats (plain text, 'HTML', 'Latex' and 'Excel'), including
 with styling/formatting.

Package: r-cran-piwikpror
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-rjson, r-cran-tibble, r-cran-purrr, r-cran-lubridate, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-readr, r-cran-digest, r-cran-fs, r-cran-tidyr, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-piwikpror_0.4.0-1.ca2004.1_all.deb
Size: 84816
MD5sum: aae5425ddd2dc7288b06d41985e76e50
SHA1: ea4df7afb87de5eca0183430d2941273ac204d82
SHA256: ddc83d0314ceb45d6cd89fe199267ec6c92a3bd9af1cf0d12e30318869ac7584
SHA512: af954c63557272e50abe9348e8cb01c3579d0a8cd0af92038c684e10e56f9a39c565a1ffde170f334c3628a409d1eeb84724464f59f48e285bd1b1a258874ad9
Homepage: https://cran.r-project.org/package=piwikproR
Description: CRAN Package 'piwikproR' (Access 'Piwik Pro' Website Statistics)
 Run Queries against the API of 'Piwik Pro'
 <https://developers.piwik.pro/en/latest/custom_reports/http_api/http_api.html>.
 The result is a tibble.

Package: r-cran-pixarfilms
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggrepel, r-cran-irr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-pixarfilms_0.2.1-1.ca2004.1_all.deb
Size: 93676
MD5sum: 9a023c2fe048630be6db67860ce48f69
SHA1: ff72c45e6ef4f88bce715062f661e5f0fa971711
SHA256: edb4ce45f595c646843184cca00153f6feb69cc7f43d42d294a2269b4fa06693
SHA512: 8a6866386a862345f3b29104292dcf4f187d04f5ce5425c8e94ae67937c94173709f81bc97651543c440c77c7c5fb5960d810720b0876848094b7780f8141c71
Homepage: https://cran.r-project.org/package=pixarfilms
Description: CRAN Package 'pixarfilms' (Pixar Films and Achievements)
 Data about Disney Pixar films provided by Wikipedia. This package contains
 data about the films, the people involved, and their awards.

Package: r-cran-pixelclasser
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3972
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jpeg, r-cran-tiff
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pixelclasser_1.1.1-1.ca2004.1_all.deb
Size: 2945292
MD5sum: f3267efd19a7ee12ada8e42aa98c49b4
SHA1: 18f5053cfc6ae410969c1539ce2ce3c3de05ff48
SHA256: fd33a577c68851a49a9d3c5a8f724fe146e09fcc28acdc0ef26138f33817c8f7
SHA512: 656c57297fdeed7375a2dfae5058a8ffb2447b0fa63a14b873114dfcfcbc96a475432b2268aa305adc26b5f0ec9a6c0de249322029786e607180003d49a0a00f
Homepage: https://cran.r-project.org/package=pixelclasser
Description: CRAN Package 'pixelclasser' (Classifies Image Pixels by Colour)
 Contains functions to classify the pixels of an image file by its colour. It
 implements a simple form of the techniques known as Support Vector Machine
 adapted to this particular problem.

Package: r-cran-pixelpuzzle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-beepr, r-cran-cli, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-pixelpuzzle_1.0.1-1.ca2004.1_all.deb
Size: 41352
MD5sum: 9990fb7d1f011882814796a2d6dac83f
SHA1: ff88603a5ce26e7cbbeff3a055aa8724bf12ffda
SHA256: 1f7107868368ece4022a9fadb5fa940793795f28dcc8a157db1b549b5c88a685
SHA512: 9f2472124ebe232169dd719fbfce4c924a71cd367208219d1bfe82c3c2a82f3b7c78d78e52422cfb9a5e747d19a5ddef27606e0fb29e1248928f7e490c21cef6
Homepage: https://cran.r-project.org/package=pixelpuzzle
Description: CRAN Package 'pixelpuzzle' (Puzzle Game for the R Console)
 Puzzle game that can be played in the R console.  Restore the pixel art by
 shifting rows.

Package: r-cran-pixels
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-shiny, r-cran-miniui
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pixels_0.1.1-1.ca2004.1_all.deb
Size: 24180
MD5sum: 384cf53fa1ebb743dc1beec1e0eb731b
SHA1: c5d9ebc7a8da856be5df436948030ce8e3454133
SHA256: 147d4058d37467d2635db01514d207e086661480189621d324d6c890b365871d
SHA512: 37ab7c89535f4320ca05209561d9f87358042be14b9b1853e59d7a76c629b05228b99d75f1eb2b37fe793f2fd5e719b086e8949f2f32e0e8b842fe2227fee1c9
Homepage: https://cran.r-project.org/package=pixels
Description: CRAN Package 'pixels' (Tools for Working with Image Pixels)
 Provides tools to show and draw image pixels using 'HTML' widgets and
 'Shiny' applications.  It can be used to visualize the 'MNIST' dataset for
 handwritten digit recognition or to create new image recognition datasets.

Package: r-cran-pixiedust
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1312
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-checkmate, r-cran-htmltools, r-cran-knitr, r-cran-labelvector, r-cran-magrittr, r-cran-reshape2, r-cran-scales
Suggests: r-cran-dplyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pixiedust_0.9.4-1.ca2004.1_all.deb
Size: 566784
MD5sum: c9134e79e5c808550f469281e1ba916c
SHA1: acb51eddc8dd1010d06378481d7d86b51ed702e0
SHA256: 2b3848a111ff74d57f4007e00c6be792ddec72b109cb4d2b13c6dc85d4d66fe0
SHA512: c7960b96b371cfd0b1aa8a2b8a7c98734b7657e701fb5fef78546e264e43fe33ab827ad56a9f84ed21433de0c9f369305863791d6c2edab2dc2ffb5f79da8807
Homepage: https://cran.r-project.org/package=pixiedust
Description: CRAN Package 'pixiedust' (Tables so Beautifully Fine-Tuned You Will Believe It's Magic)
 The introduction of the 'broom' package has made converting model objects
 into data frames as simple as a single function. While the 'broom' package
 focuses on providing tidy data frames that can be used in advanced analysis,
 it deliberately stops short of providing functionality for reporting models
 in publication-ready tables. 'pixiedust' provides this functionality with a
 programming interface intended to be similar to 'ggplot2's system of layers
 with fine tuned control over each cell of the table. Options for output
 include printing to the console and to the common markdown formats
 (markdown, HTML, and LaTeX). With a little 'pixiedust' (and happy thoughts)
 tables can really fly.

Package: r-cran-pixmap
Architecture: all
Version: 0.4-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pixmap_0.4-13-1.ca2004.1_all.deb
Size: 211340
MD5sum: 354a5f4dca9013931affbdf2405d530d
SHA1: a74c43eb4de0d15ec147262db8c5b0889c6db30a
SHA256: 32c5fd44dc0682efddfaac6a1131781156969b9818f6afefdc994b56bcb632c4
SHA512: cef03af0d59377bca5e6aabc38b2c20c95b47449c93940bad6f9cc1cc99b69a6a0ba689d2ad640d421903f21b61c1429215204d22b73e9c78223230c370c129d
Homepage: https://cran.r-project.org/package=pixmap
Description: CRAN Package 'pixmap' (Bitmap Images / Pixel Maps)
 Functions for import, export, visualization and other manipulations of
 bitmapped images.

Package: r-cran-pk.unit.trans
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi, r-cran-maditr
Filename: pool/dists/focal/main/r-cran-pk.unit.trans_0.1.0-1.ca2004.1_all.deb
Size: 26060
MD5sum: 63d6bc7ec56cc22e1f3b9d6cd036b7b1
SHA1: fb6fe1c321468d704e8f7baf2aea63c9b2f6f957
SHA256: d9beef24c5e5db67bbe71596735c6fba98c0c7b248e63215c5312d6766d4c2ab
SHA512: c97f0dbe7832d4e0ec17ea633e66bd733548fb9f3add171438a295cf71f3082b778607945cbba06524e10bf7a9d11ffba78235ef7cbee50dafdb40258e3930d5
Homepage: https://cran.r-project.org/package=pk.unit.trans
Description: CRAN Package 'pk.unit.trans' (Achieve Numerical Conversion Between Units Commonly Used inPharmacokinetics)
 Achieve internal conversions of mass units, molar units, and volume units
 commonly used in pharmacokinetics, as well as conversions between mass units
 and molar units.

Package: r-cran-pk4adi
Architecture: all
Version: 0.1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pk4adi_0.1.3.2-1.ca2004.1_all.deb
Size: 26012
MD5sum: 786fe740f44e5cef35ca084d19103c51
SHA1: 613638f26c92a18e158e647192642f6625969be7
SHA256: 15c7c95fc1a69435f2bc79e57347360712738702a9d0849b72704723942dbe9a
SHA512: 15e40e913a28b7f87c5513787a028293e5060d9967e4b26d6693aa899fc9889ea9b7ebe04ff965da1bd7251de96a71c44353cbf1b32a0c142e79f20f9a2af07f
Homepage: https://cran.r-project.org/package=pk4adi
Description: CRAN Package 'pk4adi' (PK for Anesthetic Depth Indicators)
 Calculate and compare the prediction probability (PK) values for Anesthetic
 Depth Indicators.  The PK values are widely used for measuring the
 performance of anesthetic depth and were first proposed by the group of Dr.
 Warren D. Smith in the paper Warren D. Smith; Robert C. Dutton; Ty N. Smith
 (1996) <doi:10.1097/00000542-199601000-00005> and Warren D. Smith; Robert C.
 Dutton; Ty N. Smith (1996)
 <doi:10.1002/(SICI)1097-0258(19960615)15:11%3C1199::AID-SIM218%3E3.0.CO;2-Y>.
 The authors provided two 'Microsoft Excel' files in xls format for
 calculating and comparing PK values.  This package provides an easy-to-use
 API for calculating and comparing PK values in R.

Package: r-cran-pk
Architecture: all
Version: 1.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pk_1.3-6-1.ca2004.1_all.deb
Size: 258540
MD5sum: f0cafe3a0e985673294be4dd984cffb3
SHA1: 2816ab38624abc4615aedae887895eeba1dc218c
SHA256: c4e522ed8e5efefb0530209c432aee58d0d3da5ec9a53d0c6dd8c3ed3da3cd95
SHA512: ae26690f53443c4e401b794543331dc6e9e3248ed4735f6b63205ffd1b1b5ced394257dc2df0f2da75ce06c658708b120ef0d8568e79a9c06044ac513ab4c47d
Homepage: https://cran.r-project.org/package=PK
Description: CRAN Package 'PK' (Basic Non-Compartmental Pharmacokinetics)
 Estimation of pharmacokinetic parameters using non-compartmental theory.

Package: r-cran-pkbioanalysis
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyselect, r-cran-stringr, r-cran-ggplot2, r-cran-ggforce, r-cran-tidyr, r-cran-glue, r-cran-checkmate, r-cran-shiny, r-cran-dbi, r-cran-duckdb, r-cran-bslib, r-cran-bsicons, r-cran-shinywidgets, r-cran-shinyjs, r-cran-diagrammer, r-cran-units, r-cran-dt, r-cran-shinyalert, r-cran-htmltools, r-cran-rlang, r-cran-yaml, r-cran-rhandsontable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkbioanalysis_0.3.0-1.ca2004.1_all.deb
Size: 417904
MD5sum: e55e6726705e4e0b9d4fbdc2db4950d6
SHA1: acde930751a8898a90a67d1edac097a56bd3ee00
SHA256: f074c499bdcb04bfc057c59642c732f738daa25c70aa15cdff28744981181ca0
SHA512: 2754f93a19c8b30dd01bf38526fb21c9f1a2703fd368307c40b27d973f37edfd43c7884c23b8a184b40150da7e708b17189ed0476b0a37aefe26b9c89250eec9
Homepage: https://cran.r-project.org/package=PKbioanalysis
Description: CRAN Package 'PKbioanalysis' (Pharmacokinetic Bioanalysis Experiments Design and Exploration)
 Automate pharmacokinetic/pharmacodynamic bioanalytical procedures based on
 best practices and regulatory recommendations.  The package impose
 regulatory constrains and sanity checking for common bioanalytical
 procedures.  Additionally, 'PKbioanalysis' provides a relational
 infrastructure for plate management and injection sequence.

Package: r-cran-pkconverter
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 767
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-pkconverter_1.5-1.ca2004.1_all.deb
Size: 687268
MD5sum: c43439da9b86870a79a6b74bc639edf1
SHA1: 440bd86a6a3d84b957625ed1aed204fa2314fa17
SHA256: 9d0856382a8873bdbb00c8a2e926e2b5622673912a0517d006947288dbe8fb08
SHA512: a0a45e406a0a483a9e6aa46b7da6b8045e030146563045fcc723a9d3fce4f926290eac7cbee6bbcbe503377cea5a9049bd4ae4eeb022c8c13bc049d7b4360dbe
Homepage: https://cran.r-project.org/package=PKconverter
Description: CRAN Package 'PKconverter' (The Parameter Converter of the Pharmacokinetic Models)
 Pharmacokinetics is the study of drug absorption, distribution, metabolism,
 and excretion. The pharmacokinetics model explains that how the drug
 concentration change as the drug moves through the different compartments of
 the body. For pharmacokinetic modeling and analysis, it is essential to
 understand the basic pharmacokinetic parameters. All parameters are
 considered, but only some of parameters are used in the model. Therefore, we
 need to convert the estimated parameters to the other parameters after
 fitting the specific pharmacokinetic model. This package is developed to
 help this converting work. For more detailed explanation of pharmacokinetic
 parameters, see "Gabrielsson and Weiner" (2007), "ISBN-10: 9197651001";
 "Benet and Zia-Amirhosseini" (1995) <DOI: 10.1177/019262339502300203>;
 "Mould and Upton" (2012) <DOI: 10.1038/psp.2012.4>; "Mould and Upton" (2013)
 <DOI: 10.1038/psp.2013.14>.

Package: r-cran-pkdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-pkdata_0.1.0-1.ca2004.1_all.deb
Size: 62744
MD5sum: cf87116765876f523e11015c6c373f6d
SHA1: 5767c67a1bec281b02d83a7529fb0827887d3d9b
SHA256: fe81628524a48030a1df2cd8090c79a2bf6412cad04e6ec94065a68421c66695
SHA512: 129546379892ce959a271439c00da876d4635b92da93f9807c53e52b3b7863b13120319a581b1550d457c603da3e9ee45fb526d5faa594670af4493bba702a84
Homepage: https://cran.r-project.org/package=pkdata
Description: CRAN Package 'pkdata' (Creates Pharmacokinetic/Pharmacodynamic (PK/PD) Data)
 Prepare pharmacokinetic/pharmacodynamic (PK/PD) data for PK/PD analyses.
 This package provides functions to standardize infusion and bolus dose data
 while linking it to drug level or concentration data.

Package: r-cran-pkgbuild
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-desc, r-cran-processx, r-cran-r6
Suggests: r-cran-covr, r-cran-cpp11, r-cran-knitr, r-cran-rcpp, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pkgbuild_1.4.8-1.ca2004.1_all.deb
Size: 201904
MD5sum: 01fbf87e988eaf97e4d68c1fc17217c3
SHA1: 3cfc29a4a91e8c938cca42a3bdf896b6616c6d96
SHA256: 324cd683fa408bce5c06b9a36feb4bf45d0b7dc59c9152794c897488cd565ce1
SHA512: c2d34e6c942e997973493abd6d9cd2a781522bae5e037f5cb762eabf9a089360dd3feb6b3b547d8a280f973240376b63a883f7210483c74f730a3f1aad102e8a
Homepage: https://cran.r-project.org/package=pkgbuild
Description: CRAN Package 'pkgbuild' (Find Tools Needed to Build R Packages)
 Provides functions used to build R packages. Locates compilers needed to
 build R packages on various platforms and ensures the PATH is configured
 appropriately so R can use them.

Package: r-cran-pkgcond
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgcond_0.1.1-1.ca2004.1_all.deb
Size: 56436
MD5sum: 153ffa0f0eab61b92b0cedf9e1781a37
SHA1: f88d5dd90b2e849b9f5936c4440be5c3be996f49
SHA256: c0cf238056a678ff0ba25c24b526463ccf47386e7df9eb502510ca38a3591bd9
SHA512: 38d115dd61d72e9b6b3a9a04da47d4ccac4c7c6fc46a489e5f3a2dac7cedfd0999fe6c6411e4493cfb77a3efdecadff57060025e0b10667fbbbfcf31c6e4b828
Homepage: https://cran.r-project.org/package=pkgcond
Description: CRAN Package 'pkgcond' (Classed Error and Warning Conditions)
 This provides utilities for creating classed error and warning conditions
 based on where the error originated.

Package: r-cran-pkgconfig
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat, r-cran-disposables
Filename: pool/dists/focal/main/r-cran-pkgconfig_2.0.3-1.ca2004.1_all.deb
Size: 18512
MD5sum: c4a30ae5c7a56de1b6c4e95a198746ac
SHA1: ffb1208492b94ab1610c914f54a28a973e0a4ea7
SHA256: c30d4e63b6aadb30954cae6ff2e2172aa866f6049223515d22d0785e9493414b
SHA512: 87e7a08c1c0f8b60fef5e26b982daa2a9fe68207279af615b4f44165c2ff46db9d2877b6a1300ad0e1fd33efae269acf939333e5ae3daaf4da77cb353f704c2d
Homepage: https://cran.r-project.org/package=pkgconfig
Description: CRAN Package 'pkgconfig' (Private Configuration for 'R' Packages)
 Set configuration options on a per-package basis.  Options set by a given
 package only apply to that package, other packages are unaffected.

Package: r-cran-pkgdepends
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1734
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-curl, r-cran-desc, r-cran-filelock, r-cran-jsonlite, r-cran-lpsolve, r-cran-pkgbuild, r-cran-pkgcache, r-cran-processx, r-cran-ps, r-cran-r6, r-cran-zip
Suggests: r-cran-asciicast, r-cran-codetools, r-cran-covr, r-cran-debugme, r-cran-fansi, r-cran-fs, r-cran-gh, r-cran-gitcreds, r-cran-glue, r-cran-htmlwidgets, r-cran-mockery, r-cran-pak, r-cran-pingr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-spelling, r-cran-svglite, r-cran-testthat, r-cran-tibble, r-cran-webfakes, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pkgdepends_0.8.0-1.ca2004.1_all.deb
Size: 1416908
MD5sum: 02b405882ce893b225a1870112e1b3b8
SHA1: 31758935f4cceca8796957b5f6a2e14654b89cb8
SHA256: d29020bf5c8d1cd4460253c4916c5b510c55bebf4bed08fac04ceddb8ccd2d21
SHA512: 5fa4a022c023166cb46cbeb723dac0cbf62fd375087565f53a573be884022889cde5dff5051def54f8270af193cfcd1996cb422857142de4af42b31086d7462a
Homepage: https://cran.r-project.org/package=pkgdepends
Description: CRAN Package 'pkgdepends' (Package Dependency Resolution and Downloads)
 Find recursive dependencies of 'R' packages from various sources. Solve the
 dependencies to obtain a consistent set of packages to install. Download
 packages, and install them. It supports packages on 'CRAN', 'Bioconductor'
 and other 'CRAN-like' repositories, 'GitHub', package 'URLs', and local
 package trees and files. It caches metadata and package files via the
 'pkgcache' package, and performs all 'HTTP' requests, downloads, builds and
 installations in parallel.  'pkgdepends' is the workhorse of the 'pak'
 package.

Package: r-cran-pkgdepr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-visnetwork, r-cran-dplyr, r-cran-magrittr, r-cran-viridislite, r-cran-scales
Filename: pool/dists/focal/main/r-cran-pkgdepr_1.1.1-1.ca2004.1_all.deb
Size: 122456
MD5sum: 559f0ce2fffd63bf670d41bcc9f4bfc9
SHA1: 441616c4a7330137bd510f18845b78d5b9fc3279
SHA256: 033363304e97361514b52dc61d80b4f90c03eb9a5862aafcca09ed6d283e729f
SHA512: 29880f84dc9a36274ddde8e1898a1e4c71cc2d12b51d8424c24195c61e271b8c3297fca39a33fb7202921beefe29911765341d3949a51194ccc8f6d1e1cc5994
Homepage: https://cran.r-project.org/package=pkgdepR
Description: CRAN Package 'pkgdepR' (Statically Determine Function Dependencies Between Packages)
 Statically determine and visualize the function dependencies within and
 across packages. This may be useful for managing function dependencies
 across a code base of multiple R packages.

Package: r-cran-pkgdiff
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rvest, r-cran-common, r-cran-crayon, r-cran-cranlogs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgdiff_0.2.0-1.ca2004.1_all.deb
Size: 188368
MD5sum: a9f781cc36a08752d277ec690ce7b06b
SHA1: f167c3238a2b74d6520571f333314ba0fd5b2b39
SHA256: dab1e921dc6e818e46479a30c72c24754251ddd8a314eae457e024d16ae65b50
SHA512: 9e1b56681333c7d08e5ecc8a32e8d7a579131f58fb4c584dfd3d5e676921245a2098e4548e5076aac582aabde19c6744b5db746f23368ef7fdc42643d0e84c10
Homepage: https://cran.r-project.org/package=pkgdiff
Description: CRAN Package 'pkgdiff' (Identifies Package Differences)
 Identifies differences between versions of a package.  Specifically, the
 functions help determine if there are breaking changes from one package
 version to the next.  The package also includes a stability assessment, to
 help you determine the overall stability of a package, or even an entire
 repository.

Package: r-cran-pkgdown.offline
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1776
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pkgdown
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgdown.offline_0.1.1-1.ca2004.1_all.deb
Size: 534456
MD5sum: c2d0a125a7cff3bfcd8c8fc359d035e2
SHA1: 48f628308cc4b3c62105eef75cca3c17d7a31623
SHA256: d7a359712fa9b613bb5af0d71f1f432c97cf53b679aef82a093ca2ca13fcd411
SHA512: 92bfa50a7214704d89dde2f80c6102f1f1269a0a46bbb7a26326555cb6e4341c50a5faf47edc136f1eb0a20dd61eec849c6062837228c7e9b83a5497d839a8a0
Homepage: https://cran.r-project.org/package=pkgdown.offline
Description: CRAN Package 'pkgdown.offline' (Build 'pkgdown' Websites Offline)
 Provides support for building 'pkgdown' websites without an internet
 connection. Works by bundling cached dependencies and implementing drop-in
 replacements for key 'pkgdown' functions.  Enables package documentation
 websites to be built in environments where internet access is unavailable or
 restricted.  For more details on generating 'pkgdown' websites, see Wickham
 et al. (2025) <doi:10.32614/CRAN.package.pkgdown>.

Package: r-cran-pkgdown
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1474
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bslib, r-cran-callr, r-cran-cli, r-cran-desc, r-cran-downlit, r-cran-fontawesome, r-cran-fs, r-cran-httr2, r-cran-jsonlite, r-cran-openssl, r-cran-purrr, r-cran-ragg, r-cran-rlang, r-cran-rmarkdown, r-cran-tibble, r-cran-whisker, r-cran-withr, r-cran-xml2, r-cran-yaml
Suggests: r-cran-covr, r-cran-diffviewer, r-cran-evaluate, r-cran-gert, r-cran-gt, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-lifecycle, r-cran-magick, r-cran-pkgload, r-cran-quarto, r-cran-rsconnect, r-cran-rstudioapi, r-cran-rticles, r-cran-sass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgdown_2.1.3-1.ca2004.1_all.deb
Size: 864696
MD5sum: bc94350658d00a34adab7da80f52dbd9
SHA1: cc31fdfb13932c10fa621c6b93b558ae735f5b8a
SHA256: 051bbf56b2e27ebe33aa8fe01c2944f3e1935af3f5764a65c36abf6b50fe6b8f
SHA512: 5be69b9a732e64420e398f4066dca3703d548ecbe608097e197ee7faad75be1281feab39312a2f6563688278040a059c90e32da1fc817daf9389e210ca03db35
Homepage: https://cran.r-project.org/package=pkgdown
Description: CRAN Package 'pkgdown' (Make Static HTML Documentation for a Package)
 Generate an attractive and useful website from a source package.  'pkgdown'
 converts your documentation, vignettes, 'README', and more to 'HTML' making
 it easy to share information about your package online.

Package: r-cran-pkgfilecache
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-downloader, r-cran-rappdirs, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgfilecache_0.1.5-1.ca2004.1_all.deb
Size: 56308
MD5sum: ade70d9b1912e607949c1aeb66bd1ee3
SHA1: c737d95b5893b829ad296219a4139a9aec00b443
SHA256: 7c5b3238316402fbf116bce9f9f4b556a4835e377beb606d32a99f986796f232
SHA512: 887a35ce8b7d3b5bb74d51f3d90377d0e98824a616df208382d22b795e356b6f554e00649186940aaf5ef76903cb13f0354bd825d2e96f44bfbd243436b7e4d6
Homepage: https://cran.r-project.org/package=pkgfilecache
Description: CRAN Package 'pkgfilecache' (Download and Manage Optional Package Data)
 Manage optional data for your package. The data can be hosted anywhere, and
 you have to give a Uniform Resource Locator (URL) for each file. File
 integrity checks are supported. This is useful for package authors who need
 to ship more than the 5 Megabyte of data currently allowed by the the
 Comprehensive R Archive Network (CRAN).

Package: r-cran-pkggraph
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4982
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggnetwork, r-cran-ggplot2, r-cran-data.table, r-cran-curl, r-cran-dplyr, r-cran-htmltools, r-cran-intergraph, r-cran-matrix, r-cran-networkd3, r-cran-network, r-cran-rcolorbrewer, r-cran-tibble, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-statnet.common, r-cran-biocmanager
Filename: pool/dists/focal/main/r-cran-pkggraph_0.2.3-1.ca2004.1_all.deb
Size: 3149688
MD5sum: 736625773cdf28f55e38b9a56c040ff7
SHA1: 9d9f7c4091aa656f21f10d87f298d0b688a57c42
SHA256: 87aa89cdace3906958d11b575a4968ef8649d9d50fd45878765783b8ea5d5fea
SHA512: af2cb0fb55fd67e758d64ffae3c56e2589188100c962550eedc3f86df61502ab70da1dc9d4727599010b9c1a5e89f8be98d66162710a94d5c531a18038120cbe
Homepage: https://cran.r-project.org/package=pkggraph
Description: CRAN Package 'pkggraph' (A Consistent and Intuitive Platform to Explore the Dependenciesof Packages on the Comprehensive R Archive Network LikeRepositories)
 Interactively explore various dependencies of a package(s) (on the
 Comprehensive R Archive Network Like repositories) and perform analysis
 using tidy philosophy. Most of the functions return a 'tibble' object
 (enhancement of 'dataframe') which can be used for further analysis. The
 package offers functions to produce 'network' and 'igraph' dependency
 graphs. The 'plot' method produces a static plot based on 'ggnetwork' and
 'plotd3' function produces an interactive D3 plot based on 'networkD3'.

Package: r-cran-pkggraphr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-diagrammer, r-cran-dplyr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkggraphr_0.3.1-1.ca2004.1_all.deb
Size: 34300
MD5sum: d6b6b95ce20c659f01af628ba384d0fa
SHA1: 4dbf65b44d67083b33400f661740ca7614b26c6b
SHA256: 9093fcfc50d6cb4340628282e46cb898ba9428df2d6a2fa8d5f42e739c00ddc4
SHA512: 7293bc6004012692f3f6502cfabe2289d87d22701c64b8440daea0d08c7864a28796099d69db77ee01500c7e6b6af2d6353ac7e5374a1ec3d7dd99651dbad85f
Homepage: https://cran.r-project.org/package=pkgGraphR
Description: CRAN Package 'pkgGraphR' (Graph the Relationship Between Functions in an R Package)
 It is often useful when developing an R package to track the relationship
 between functions in order to appropriately test and track changes. This
 package generates a graph of the relationship between all R functions in a
 package. It can also be used on any directory containing .R files which can
 be very useful for 'shiny' apps or other non-package workflows.

Package: r-cran-pkgkitten
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-whoami, r-cran-tinytest, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-pkgkitten_0.2.4-1.ca2004.1_all.deb
Size: 25764
MD5sum: 174dd3f4462db726e5e9e4bc5e00d59e
SHA1: 0b7c409968846cdd07e04496c929ee7f30b082ca
SHA256: b743d188139f2acd556b1495829d834ab5838b95a0243bfa70912501c76a904f
SHA512: 7c927b72e290ae5b1721eb4d8c36dfbbd12e3a2f9806bb16dbb8d7b513541ce02f1ecad3ed9098ea750e3cade7684ec96c8bb95656582f6c19b777cf504b19be
Homepage: https://cran.r-project.org/package=pkgKitten
Description: CRAN Package 'pkgKitten' (Create Simple Packages Which Do not Upset R Package Checks)
 Provides a function kitten() which creates cute little packages which pass R
 package checks. This sets it apart from package.skeleton() which it calls,
 and which leaves imperfect files behind. As this is not exactly helpful for
 beginners, kitten() offers an alternative. Unit test support can be added
 via the 'tinytest' package (if present), and documentation-creation support
 can be added via 'roxygen2' (if present).

Package: r-cran-pkglite
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-magrittr, r-cran-remotes
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkglite_0.2.4-1.ca2004.1_all.deb
Size: 194472
MD5sum: 01ca41eb641586a5192c8f33235980b0
SHA1: 9832a4839a1e5742739e4befe796a85addd0e915
SHA256: 77de789c9460aa728a71cab011c6b9b6496cb04813743d5eca34c696cdaffa1d
SHA512: ea720e88f40cd5b62ac9defdb8ae58794bdf9ec64a394906ce57b947958f46720ba124fc349da28a5c60ce02613cb1170176045f3150da8571696a26856ccc09
Homepage: https://cran.r-project.org/package=pkglite
Description: CRAN Package 'pkglite' (Compact Package Representations)
 A tool, grammar, and standard to represent and exchange R package source
 code as text files. Converts one or more source packages to a text file and
 restores the package structures from the file.

Package: r-cran-pkgload
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-fs, r-cran-glue, r-cran-lifecycle, r-cran-pkgbuild, r-cran-processx, r-cran-rlang, r-cran-rprojroot, r-cran-withr
Suggests: r-cran-bitops, r-cran-jsonlite, r-cran-mathjaxr, r-cran-pak, r-cran-rcpp, r-cran-remotes, r-cran-rstudioapi, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-pkgload_1.4.0-1.ca2004.1_all.deb
Size: 213336
MD5sum: 65e5b31c532286d26c1401c525d507da
SHA1: daba4777d5124064e45eaef5f8d6af3cc6c11701
SHA256: 5c79f58e01c58dbe6d2639d3ee9de0e2bfeb650afa733659a74f3c90fa329942
SHA512: c2eb3b38d2363a36c1e5a067fef969a6607f5ee8ad27d7dd009e2b8ee4db079cd8f051154b85a1b72e807b6915f294f46fbeb36568e8c3e250bdecd2f98df119
Homepage: https://cran.r-project.org/package=pkgload
Description: CRAN Package 'pkgload' (Simulate Package Installation and Attach)
 Simulates the process of installing a package and then attaching it. This is
 a key part of the 'devtools' package as it allows you to rapidly iterate
 while developing a package.

Package: r-cran-pkgmaker
Architecture: all
Version: 0.32.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1035
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-registry, r-cran-codetools, r-cran-digest, r-cran-stringr, r-cran-xtable, r-cran-withr, r-cran-assertthat
Suggests: r-cran-devtools, r-cran-roxygen2, r-cran-runit, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-yaml, r-bioc-biobase, r-cran-rbibutils
Filename: pool/dists/focal/main/r-cran-pkgmaker_0.32.10-1.ca2004.1_all.deb
Size: 677616
MD5sum: e1c30c03e52758fb5ba0891904294418
SHA1: 02056499202a084ee2004cdb7b558b91d7ee137d
SHA256: 131ba56cae96df9650e814b4321e0f58d0f1a928ed62661c74a1dd6d0f7f6aac
SHA512: 3d64cac661ec712f5fdc65df38dc6e81f75f5f18f9874958eb239ada886c7e2370a3ff84db9da7b22289f99eeef3bdff2a5c092ba60f42f75304c0539ca1b603
Homepage: https://cran.r-project.org/package=pkgmaker
Description: CRAN Package 'pkgmaker' (Development Utilities for R Packages)
 Provides some low-level utilities to use for package development. It
 currently provides managers for multiple package specific options and
 registries, vignette, unit test and bibtex related utilities.  It serves as
 a base package for packages like 'NMF', 'RcppOctave', 'doRNG', and as an
 incubator package for other general purposes utilities, that will eventually
 be packaged separately.  It is still under heavy development and changes in
 the interface(s) are more than likely to happen.

Package: r-cran-pkgndep
Architecture: all
Version: 1.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4051
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-complexheatmap, r-cran-getoptlong, r-cran-globaloptions, r-cran-hash, r-cran-biocmanager, r-cran-brew, r-bioc-biocversion
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-svglite, r-cran-callr, r-cran-rjson, r-cran-rook, r-cran-igraph, r-cran-ggplot2, r-cran-ggrepel, r-cran-base64, r-cran-testthat, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-pkgndep_1.99.3-1.ca2004.1_all.deb
Size: 1841000
MD5sum: a54df6013878ad3d9db42715527392a1
SHA1: a4d5cfccf1074222a060d75c13b670be57c8f58a
SHA256: 3bba1f0556975298c0a354e9997690f35de47ae6ee0f2b570fc8c375c3a48ed3
SHA512: 3a14abeeab6e4f26a472c695c0f68c0f7ad16888e6c7960de5fdddb88fdf967f7da2ea49bb27dd36c042fb4f05174bad62be8c946aaa3592ae4be96f6e06f2c8
Homepage: https://cran.r-project.org/package=pkgndep
Description: CRAN Package 'pkgndep' (Analyze Dependency Heaviness of R Packages)
 A new metric named 'dependency heaviness' is proposed that measures the
 number of additional dependency packages that a parent package brings to its
 child package and are unique to the dependency packages imported by all
 other parents.  The dependency heaviness analysis is visualized by a
 customized heatmap.  The package is described in
 <doi:10.1093/bioinformatics/btac449>.  We have also performed the dependency
 heaviness analysis on the CRAN/Bioconductor package ecosystem and the
 results are implemented as a web-based database which provides comprehensive
 tools for querying dependencies of individual R packages.  The systematic
 analysis on the CRAN/Bioconductor ecosystem is described in
 <doi:10.1016/j.jss.2023.111610>. From 'pkgndep' version 2.0.0, the heaviness
 database includes snapshots of the CRAN/Bioconductor ecosystems for many old
 R versions.

Package: r-cran-pkgnet
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 607
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-covr, r-cran-data.table, r-cran-dt, r-cran-futile.logger, r-cran-glue, r-cran-igraph, r-cran-knitr, r-cran-magrittr, r-cran-r6, r-cran-rlang, r-cran-rmarkdown, r-cran-visnetwork
Suggests: r-cran-ggplot2, r-cran-pkgdown, r-cran-testthat, r-cran-webshot, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pkgnet_0.5.0-1.ca2004.1_all.deb
Size: 431512
MD5sum: f9162afbfd2445f0c3e3fe11e104b99c
SHA1: 531e65239dfe9e27755c4d4e43f3ef0376c67331
SHA256: c38da29535d6bad9d1c0688c09261d8e147b0ea588a4c90d049129361f54a257
SHA512: f948520ac271c50e4c7e6c4f35238d0d6178f92987cae94b72046ae3d9906a34097e4ad996e232c6e9783f762be6b5e4a01839983d98d8b27653abb7c876a33d
Homepage: https://cran.r-project.org/package=pkgnet
Description: CRAN Package 'pkgnet' (Get Network Representation of an R Package)
 Tools from the domain of graph theory can be used to quantify the complexity
 and vulnerability to failure of a software package. That is the guiding
 philosophy of this package. 'pkgnet' provides tools to analyze the
 dependencies between functions in an R package and between its imported
 packages.  See the pkgnet website for vignettes and other supplementary
 information.

Package: r-cran-pkgnews
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-commonmark, r-cran-httr, r-cran-xml2, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pkgnews_0.0.2-1.ca2004.1_all.deb
Size: 14864
MD5sum: 82f2fd62ed69ce6cf2e1fd48707afcd3
SHA1: 727a6a7c2a404d57093d343df9ba7ddcc414217a
SHA256: 3fa65d4d2a33d55b4f9df998f3af63e6642192f96521587bd14980bb5748c9be
SHA512: ac913dc09b1911a6960a55825cdd069aa12fe61cf93eb96c184a1e8eab5a35565516c5e8de4f0866fee67da2bed357d092e78d06d62a9eb27f07c92ee1cbacd8
Homepage: https://cran.r-project.org/package=pkgnews
Description: CRAN Package 'pkgnews' (Retrieve R Package News Files)
 Read R package news files, regardless of whether or not the package is
 installed.

Package: r-cran-pkgsearch
Architecture: all
Version: 3.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-memoise, r-cran-mockery, r-cran-pillar, r-cran-pingr, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-testthat, r-cran-whoami, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pkgsearch_3.1.5-1.ca2004.1_all.deb
Size: 194708
MD5sum: 7e7ff7d54f9e1da7ce301343957bd437
SHA1: 5210169190dc976f27482b10531cc26a01c0fa2e
SHA256: 95dc094271427939a5f14fc185febdc15247e2fd35cc302083888c09e408dfe0
SHA512: a0ac1f398a5702bc17357b7026649de6233f324cf6b842105a1198dfdbb6ea0db690f12f33cb9f798b46e307424530e8511b53b37006680333380de7169ebc2b
Homepage: https://cran.r-project.org/package=pkgsearch
Description: CRAN Package 'pkgsearch' (Search and Query CRAN R Packages)
 Search CRAN metadata about packages by keyword, popularity, recent activity,
 package name and more. Uses the 'R-hub' search server, see
 <https://r-pkg.org> and the CRAN metadata database, that contains
 information about CRAN packages. Note that this is _not_ a CRAN project.

Package: r-cran-pkgverse
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-pkgverse_0.0.1-1.ca2004.1_all.deb
Size: 171016
MD5sum: d10c68669fe4dd0ee32d5dbdaaa67898
SHA1: 0e81f2f0fd8ea71c06cd85cf49e9215ceae2399c
SHA256: e5a8a957d4d6c5a21c006e27d5e72f5190a18baa3904ce390d9b42b6408276b6
SHA512: 92f7c47c9ac3f2387805ee8c4dc1db3d0485dc1e6427c3343bfacc8c1926fd704617415c0afe44ac2257081ed23e8645d500c88bfe02494514f06e1754224939
Homepage: https://cran.r-project.org/package=pkgverse
Description: CRAN Package 'pkgverse' (Build a Meta-Package Universe)
 Build your own universe of packages similar to the 'tidyverse' package
 <https://tidyverse.org/> with this meta-package creator. Create a
 package-verse, or meta package, by supplying a custom name for the
 collection of packages and the vector of desired package names to include–
 and optionally supply a destination directory, an indicator of whether to
 keep the created package directory, and/or a vector of verbs implement via
 the 'usethis' <http://usethis.r-lib.org/> package.

Package: r-cran-pklmtest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-pklmtest_1.0.1-1.ca2004.1_all.deb
Size: 21852
MD5sum: 09ca030c72f9285876ac4cd15c6a0df8
SHA1: a3e32a2458b96f4852518314fda109fbe3985175
SHA256: bdbc1ee55390cc7bdf1db9b571c77c3d5a41f0815791eef1f8a96e6db8471b65
SHA512: a1f73b95e518830cabee620b210f5f66764e1255bd3979a0a2cb25deb824fdf449ef601aba188158b9609142d0dbb7a6ddb838aff33ee200d4ecdc14fcd8bc59
Homepage: https://cran.r-project.org/package=PKLMtest
Description: CRAN Package 'PKLMtest' (Classification Based MCAR Test)
 Implementation of a KL-based (Kullback-Leibler) test for MCAR (Missing
 Completely At Random) in the context of missing data as introduced in Michel
 et al. (2021) <arXiv:2109.10150>.

Package: r-cran-pkmon
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pkmon_1.1-1.ca2004.1_all.deb
Size: 67116
MD5sum: c5af98a938ac3bcdc615a4f99556fb49
SHA1: 6e6248024fcbb1bcf0d600033a27bcb1901649c8
SHA256: 92d388af91bb92f2255d17c206212add36fa29e5fb00a1be0614d975db09de7c
SHA512: 116f4b10c620ad9765d6f5bb0ebf37394cfcb5a0620919523afcc723c8a830c96d1714f4e0773f217e96725ca0e5e717e64689c2078cdd7505ebba29a983caed
Homepage: https://cran.r-project.org/package=pkmon
Description: CRAN Package 'pkmon' (Least-Squares Estimator under k-Monotony Constraint for DiscreteFunctions)
 We implement two least-squares estimators under k-monotony constraint using
 a method based on the Support Reduction Algorithm from Groeneboom et al
 (2008) <DOI:10.1111/j.1467-9469.2007.00588.x>. The first one is a projection
 estimator on the set of k-monotone discrete functions. The second one is a
 projection on the set of k-monotone discrete probabilities. This package
 provides functions to generate samples from the spline basis from Lefevre
 and Loisel (2013) <DOI:10.1239/jap/1378401239>, and from mixtures of
 splines.

Package: r-cran-pknca
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2927
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-digest, r-cran-nlme, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tibble, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-cowplot, r-cran-ggplot2, r-cran-knitr, r-cran-labeling, r-cran-pander, r-cran-pmxtools, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-units, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pknca_0.12.0-1.ca2004.1_all.deb
Size: 1113192
MD5sum: 5e44f7e166a082db5102fb5bd431538c
SHA1: 7e79e20043214e19962a8db29e9f52ce545f7db6
SHA256: 8d3916376bda392538125cb10dc430c5f55db08b4e2e3ca44746d3d6fc631658
SHA512: 7f03f7f5a4b0010ce80c93d22d62a058022aaef8edd050a342e2cfde6acca732e433e3d747cd13d4f625f5e1b1656b32b606f7fd596df90cadf0d96adb17dab6
Homepage: https://cran.r-project.org/package=PKNCA
Description: CRAN Package 'PKNCA' (Perform Pharmacokinetic Non-Compartmental Analysis)
 Compute standard Non-Compartmental Analysis (NCA) parameters for typical
 pharmacokinetic analyses and summarize them.

Package: r-cran-pkpdmodels
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-pkpdmodels_0.3.2-1.ca2004.1_all.deb
Size: 208356
MD5sum: 96aff908abfae6d508b88d24f242cbee
SHA1: 4bb4ae7f80a40f93a77ebb51f259590de640633b
SHA256: 716a9bac238c97704b7d1be0d73857d645bf0f76c50b4177909352b090d49fd0
SHA512: 39154336f32b1b5bf7beb8d1c486c080b51212c8f60be9c50fa5d962c9157beed73a1dc6ae98b6929fdc2f7ea23596626fe1e9386cd65e5f3d27e40d74e59ad4
Homepage: https://cran.r-project.org/package=PKPDmodels
Description: CRAN Package 'PKPDmodels' (Pharmacokinetic/pharmacodynamic models)
 Provides functions to evaluate common pharmacokinetic/pharmacodynamic models
 and their gradients.

Package: r-cran-pkr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreign, r-cran-binr, r-cran-forestplot, r-cran-rtf
Filename: pool/dists/focal/main/r-cran-pkr_0.1.3-1.ca2004.1_all.deb
Size: 363872
MD5sum: 25710a19a57c8214364b2593a6f75974
SHA1: e7c22abafd22485541367226164be26b61181985
SHA256: 99ffcd4b1db23781a318b1078b1db6faf48f1a4bb0b518a015263463f6067171
SHA512: 017f9ce86e4b961efaf6938f4c70c7e037afd77e662885bb8cde8e57612252d1bf645c17d8477cef8ea7dea2901c581e7460f89c156eb4898b9dc01b7c38ff04
Homepage: https://cran.r-project.org/package=pkr
Description: CRAN Package 'pkr' (Pharmacokinetics in R)
 Conduct a noncompartmental analysis as closely as possible to the most
 widely used commercial software.  Some features are 1) CDISC SDTM terms 2)
 Automatic slope selection with the same criterion of WinNonlin(R) 3)
 Supporting both 'linear-up linear-down' and 'linear-up log-down' method 4)
 Interval(partial) AUCs with 'linear' or 'log' interpolation method *
 Reference: Gabrielsson J, Weiner D. Pharmacokinetic and Pharmacodynamic Data
 Analysis - Concepts and Applications. 5th ed. 2016. (ISBN:9198299107).

Package: r-cran-pkreport
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pkreport_1.5-1.ca2004.1_all.deb
Size: 579292
MD5sum: 9baba884c4cfbec9791e033287715ff7
SHA1: 0e3d448f34ee1ed471f0534807fb625a4de770ed
SHA256: 1f21d4a7dd0408e427036f82100b2ad0588b6fa7acab83a1b768c2fa49517420
SHA512: eecba8b6465c99f501b24827203eea102bf532d877b01ede3b642e49872205ba5ddeaa2db44cc6057a1b708b435a0b4eaf0bf117cb4eaa4098159c7913654730
Homepage: https://cran.r-project.org/package=PKreport
Description: CRAN Package 'PKreport' (A reporting pipeline for checking population pharmacokineticmodel assumption)
 PKreport aims to 1) provide automatic pipeline for users to visualize data
 and models. It creates a flexible R framework with automatically generated R
 scripts to save time and cost for later usage; 2) implement an
 archive-oriented management tool for users to store, retrieve and modify
 figures. 3) offer powerful and convenient service to generate high-quality
 graphs based on two R packages: lattice and ggplot2.

Package: r-cran-pks
Architecture: all
Version: 0.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sets
Suggests: r-cran-relations, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-pks_0.6-1-1.ca2004.1_all.deb
Size: 466836
MD5sum: eacefe5bf01773519f1ea1aeb388d591
SHA1: 215a68cef7e6b6b8a4979cddf468dc47966192c5
SHA256: afe24c7966a823d28f7a8403a1ab82d67ec778595dca655e43f0fcc7b296e0e4
SHA512: 8aa549cf6b351f2843493429062c718bddc14dd41270467b7953aac08fe01e69f2d37aebdbd4c0a2cb8043853ee1f3ce56070027d8ecc72af0ca59435ded453f
Homepage: https://cran.r-project.org/package=pks
Description: CRAN Package 'pks' (Probabilistic Knowledge Structures)
 Fitting and testing probabilistic knowledge structures, especially the basic
 local independence model (BLIM, Doignon & Flamagne, 1999) and the simple
 learning model (SLM), using the minimum discrepancy maximum likelihood
 (MDML) method (Heller & Wickelmaier, 2013 <doi:10.1016/j.endm.2013.05.145>).

Package: r-cran-pksea
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2932
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pksea_0.0.1-1.ca2004.1_all.deb
Size: 2636168
MD5sum: a8d1617c48a5e211cd95934b7cd129db
SHA1: 6139c43f25cb65816a6721b70fd243755e7c6962
SHA256: 9c398c22b3da45c7944bb59662dba02fc8e28199c3a3289d12d11aa8eb27dd23
SHA512: 62b20d6dfab9081f5fb0317a96c8041c23a5b872d083785a29080c0eb9b2aa0798f56f98dbc4c6de49af6cc86ff1c12181f330165ab65c610605f24c966e92b6
Homepage: https://cran.r-project.org/package=pKSEA
Description: CRAN Package 'pKSEA' (Prediction-Based Kinase-Substrate Enrichment Analysis)
 A tool for inferring kinase activity changes from phosphoproteomics data.
 'pKSEA' uses kinase-substrate prediction scores to weight observed changes
 in phosphopeptide abundance to calculate a phosphopeptide-level contribution
 score, then sums up these contribution scores by kinase to obtain a
 phosphoproteome-level kinase activity change score (KAC score). 'pKSEA' then
 assesses the significance of changes in predicted substrate abundances for
 each kinase using permutation testing. This results in a permutation score
 (pKSEA significance score) reflecting the likelihood of a similarly high or
 low KAC from random chance, which can then be interpreted in an analogous
 manner to an empirically calculated p-value. 'pKSEA' contains default
 databases of kinase-substrate predictions from 'NetworKIN'
 (NetworKINPred_db) <http://networkin.info> Horn, et. al (2014)
 <doi:10.1038/nmeth.2968> and of known kinase-substrate links from
 'PhosphoSitePlus' (KSEAdb) <https://www.phosphosite.org/> Hornbeck PV, et.
 al (2015) <doi:10.1093/nar/gku1267>.

Package: r-cran-pksensi
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-desolve, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-covr, r-cran-knitr, r-cran-httk, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pksensi_1.2.3-1.ca2004.1_all.deb
Size: 232700
MD5sum: bb3627ffc87f6d541db0976f7b875857
SHA1: 69114a396278bba10d44ba309dafd1480b310913
SHA256: e9eb7b4b13db8e6c5b65a744050c3090d367fcf2c3ea469b473830e514be9f08
SHA512: 8cd73a98ad527159a597256e6c02a1c3c5140ab6ca6d5166ac3bf7ab4f26940aa4dbd0b86147f44798880cdcfc45785c5cf0d869ef2a51e8d5b0f63897324982
Homepage: https://cran.r-project.org/package=pksensi
Description: CRAN Package 'pksensi' (Global Sensitivity Analysis in Physiologically Based KineticModeling)
 Applying the global sensitivity analysis workflow to investigate the
 parameter uncertainty and sensitivity in physiologically based kinetic (PK)
 models, especially the physiologically based pharmacokinetic/toxicokinetic
 model with multivariate outputs.  The package also provides some functions
 to check the convergence and sensitivity of model parameters. The workflow
 was first mentioned in Hsieh et al., (2018) <doi:10.3389/fphar.2018.00588>,
 then further refined (Hsieh et al., 2020 <doi:10.1016/j.softx.2020.100609>).

Package: r-cran-pl94171
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-stringr, r-cran-readr, r-cran-dplyr, r-cran-tinytiger, r-cran-sf, r-cran-withr, r-cran-httr
Suggests: r-cran-testthat, r-cran-lifecycle, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pl94171_1.1.3-1.ca2004.1_all.deb
Size: 315576
MD5sum: 3176f41b9e7055e9ab742fae53efe24f
SHA1: d8c0c7ba1a33955344ebf99652960e46aec77718
SHA256: 68095ba06cbd3f30b0b4da05c209b1350d89680a3f1d57c46fe5c806046b05b2
SHA512: f88b23e105a2e6dc9b62aa5f648440321401e2d11842e00716872ecea7c204ef83231474b0f0b9cf0f0c03cea350fcc72dddc8ac3e8642cfdfae77ced58fc7b8
Homepage: https://cran.r-project.org/package=PL94171
Description: CRAN Package 'PL94171' (Tabulate P.L. 94-171 Redistricting Data Summary Files)
 Tools to process legacy format summary redistricting data files produced by
 the United States Census Bureau pursuant to P.L. 94-171. These files are
 generally available earlier but are difficult to work with as-is.

Package: r-cran-placer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-placer_0.1.3-1.ca2004.1_all.deb
Size: 47884
MD5sum: f1a38793729b60a434f7d2c646731646
SHA1: 22e49fcda35efe7cd7ff0d5488dfa572ead80186
SHA256: f679e44ea9eeb3013d73c039c362f2661029af020eca4e530497d4e5c9da1cd2
SHA512: a19ded36293c8320eeec443f44a7ae93a0672d14e3393675e21972a2b56e9c4c1624d72d4eed95a8eca418adb72f8f5252b112c20cff9a02e652226ed615cc60
Homepage: https://cran.r-project.org/package=placer
Description: CRAN Package 'placer' (PLastic ACcumulation Estimate using R (PLACER))
 Assessment of the prevalence of plastic debris in bird nests based on
 bootstrap replicates. The package allows for calculating bootstrapped 95%
 confidence intervals for the estimated prevalence of debris. Combined with a
 Bayesian approach, the resampling simulations can be also used to define
 appropriate sample sizes to detect prevalence of plastics.  The method has
 wide application, and can also be applied to estimate confidence intervals
 and define sample sizes for the prevalence of plastics ingested by any other
 organisms. The method is described in Tavares et al. (Submitted).

Package: r-cran-places
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-sp, r-cran-rgdal, r-cran-geosphere, r-cran-data.table, r-cran-rlang, r-cran-googleway, r-cran-stringr, r-cran-hms
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-places_0.1.1-1.ca2004.1_all.deb
Size: 283784
MD5sum: ce416f4a3ae5a40ea16335b8bf8c3122
SHA1: 43bd41e1364f7fbbd524772ea65eaff03de5719b
SHA256: 0ca0db889b23fb190a8017909943803a2bb8eca976d1566258908d2e8126e75a
SHA512: d02d0490f49e4c4804b4ea554ec87465c4b886a1cb17cacf2bd8aba2206d47c8adeb31cb20198d204f9a54d68e681c87e0ba06ba510e22ef1bc602219ff71820
Homepage: https://cran.r-project.org/package=places
Description: CRAN Package 'places' (Clusters GPS Data into Places)
 Clusters GPS coordinates into places (i.e., meaningful stops). Additionally,
 categorizes places into types (e.g., home, cafe, gym). Places are identified
 as home using a rules-based algorithm defining home as the stop occurring
 most frequently during the night. Other places (e.g., cafe, gym) are
 identified using the Google Maps API.

Package: r-cran-plackettluce
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2076
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cvxr, r-cran-matrix, r-cran-igraph, r-cran-matrixstats, r-cran-partykit, r-cran-psychotools, r-cran-psychotree, r-cran-r6, r-cran-rspectra, r-cran-qvcalc, r-cran-sandwich
Suggests: r-bioc-biocstyle, r-cran-bayesmallows, r-cran-bradleyterry2, r-cran-plmix, r-cran-rologit, r-cran-statrank, r-cran-bookdown, r-cran-covr, r-cran-hyper2, r-cran-kableextra, r-cran-knitr, r-cran-lbfgs, r-cran-gnm, r-cran-pmr, r-cran-prefmod, r-cran-rmarkdown, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plackettluce_0.4.3-1.ca2004.1_all.deb
Size: 741952
MD5sum: c2cda69a3a5415d7cf49978771bbeaff
SHA1: b1223f70c88fd150834e8e42384144a1bafcafaf
SHA256: dc2c875d79f99ba576ebc1829eebfec2a9abda165c8c7d9fb79e70061fa10adf
SHA512: 4f6242ec69181d6431578807e51b5ea30a9f1534843476cde226ef9eced44454333cff3ab4e3cc3c4912210e65ca8b50baa56682e36bba88c161110f5c83efdf
Homepage: https://cran.r-project.org/package=PlackettLuce
Description: CRAN Package 'PlackettLuce' (Plackett-Luce Models for Rankings)
 Functions to prepare rankings data and fit the Plackett-Luce model jointly
 attributed to Plackett (1975) <doi:10.2307/2346567> and Luce (1959,
 ISBN:0486441369). The standard Plackett-Luce model is generalized to
 accommodate ties of any order in the ranking. Partial rankings, in which
 only a subset of items are ranked in each ranking, are also accommodated in
 the implementation. Disconnected/weakly connected networks implied by the
 rankings may be handled by adding pseudo-rankings with a hypothetical item.
 Optionally, a multivariate normal prior may be set on the log-worth
 parameters and ranker reliabilities may be incorporated as proposed by Raman
 and Joachims (2014) <doi:10.1145/2623330.2623654>. Maximum a posteriori
 estimation is used when priors are set. Methods are provided to estimate
 standard errors or quasi-standard errors for inference as well as to fit
 Plackett-Luce trees. See the package website or vignette for further
 details.

Package: r-cran-plainview
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-lattice, r-cran-png, r-cran-raster, r-cran-viridislite
Suggests: r-cran-shiny, r-cran-sf, r-cran-sp
Filename: pool/dists/focal/main/r-cran-plainview_0.2.1-1.ca2004.1_all.deb
Size: 672524
MD5sum: a5ac3904b60f9400d6eb1c524c76b211
SHA1: 1e871660e4322434ef13fd88cfff2cd6180fd460
SHA256: 0cdf353f5357613bdf0bc63bb057122a469afe71d88dc4f6615c8442314b9fc1
SHA512: 0d22ccf55d7e199a421c078fc790c5d813dd8e582266b48d73069bb594eee11b8b850305cd18944d2ae191a152d5afba34c7430da9877de9a5986440b5fc6401
Homepage: https://cran.r-project.org/package=plainview
Description: CRAN Package 'plainview' (Plot Raster Images Interactively on a Plain HTML Canvas)
 Provides methods for plotting potentially large (raster) images
 interactively on a plain HTML canvas. In contrast to package 'mapview' data
 are plotted without background map, but data can be projected to any spatial
 coordinate reference system.  Supports plotting of classes 'RasterLayer',
 'RasterStack', 'RasterBrick' (from package 'raster') as well as 'png' files
 located on disk.  Interactivity includes zooming, panning, and mouse
 location information.  In case of multi-layer 'RasterStacks' or
 'RasterBricks', RGB image plots are created (similar to 'raster::plotRGB' -
 but interactive).

Package: r-cran-plan
Architecture: all
Version: 0.4-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plan_0.4-5-1.ca2004.1_all.deb
Size: 300152
MD5sum: d938499c7448887cb083914dff52bfaf
SHA1: f2e6528576aa4645c74c51d45d0bc326d108b210
SHA256: b98dfbf1d51df681d22feffcf1081cc23aaa9ed17a6d24dbab6b4940f1ff8736
SHA512: 60a0162ca9d3c5e23039cef7fc00de2e20485fedb2483e0f29274777c41c1901519991f1ab4cfef21789af04fa08d7568c2bf012e963f79102e38ee20043ad2a
Homepage: https://cran.r-project.org/package=plan
Description: CRAN Package 'plan' (Tools for Project Planning)
 Supports the creation of 'burndown' charts and 'gantt' diagrams.

Package: r-cran-planegeometry
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-carlson, r-cran-cvxr, r-cran-fitconic, r-cran-r6, r-cran-rcdd, r-cran-sdpt3r, r-cran-stringr, r-cran-uniformly
Suggests: r-cran-ellipse, r-cran-elliptic, r-cran-freegroup, r-cran-knitr, r-cran-rgl, r-cran-rmarkdown, r-cran-sets, r-cran-testthat, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-planegeometry_1.6.0-1.ca2004.1_all.deb
Size: 5384200
MD5sum: 5ff1927eee498d8d10c3bae345c54c9b
SHA1: 644d7eef971d5e5a54411691cf5e58b841b68e60
SHA256: ffe2a9bd17daaaf8e8b85e24feb193f53249fcf6e20e3969d5b6c68a6b34df5c
SHA512: ea01f4ae4cc5ebc10dc85fdf2068ece07d08d4cd019c6b7303763d9d7cc3625f9505e66ed1ba9595e391eb1c5f95b069b8951c5ebb210cbc54272561488bb563
Homepage: https://cran.r-project.org/package=PlaneGeometry
Description: CRAN Package 'PlaneGeometry' (Plane Geometry)
 An extensive set of plane geometry routines. Provides R6 classes
 representing triangles, circles, circular arcs, ellipses, elliptical arcs,
 lines, hyperbolae, and their plot methods. Also provides R6 classes
 representing transformations: rotations, reflections, homotheties, scalings,
 general affine transformations, inversions, Möbius transformations.

Package: r-cran-planesmuestra
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-planesmuestra_0.1-1.ca2004.1_all.deb
Size: 68368
MD5sum: d39b9657d0b4f784a5e68c68bd20d296
SHA1: 55819714d549cdd50c455110ff5085a70bb9ad50
SHA256: 6e04569b66eb882ee679158e4616ed9a666c85c32a52d7293cc6ea4e272cc249
SHA512: 199f3f8dc3887c47565c7bf9d33baa999a23617a40a3d3678caf2d38c62b715d24220f145dbc384dafcff382edef76f78b5ee1c433582d2e9329b1be6ff209ec
Homepage: https://cran.r-project.org/package=Planesmuestra
Description: CRAN Package 'Planesmuestra' (Functions for Calculating Dodge Romig, MIL STD 105E and MIL STD414 Acceptance Sampling Plan)
 Calculates an acceptance sampling plan, (sample size and acceptance number)
 based in MIL STD 105E, Dodge Romig and MIL STD 414 tables and procedures.
 The arguments for each function are related to lot size, inspection level
 and quality level. The specific plan operating curve (OC), is calculated by
 the binomial distribution.

Package: r-cran-planetnicfi
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4233
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-sf, r-cran-data.table, r-cran-glue, r-cran-terra
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-planetnicfi_1.0.5-1.ca2004.1_all.deb
Size: 2001728
MD5sum: e3d10c1aed4f585bdb31af6d24637035
SHA1: 02237251d77fcff11c2384f19daa24260de81b3f
SHA256: 2e9a0aa775978aad5cf890fce624961b77701e0bbffe04ef24909886d67df842
SHA512: 6e702b7788395f38e09eee86e91dd509b4f47b9bab0f6fe707ef7bd623ec3e0f212eb52429a205752293e1402a6e263eae83aab6646a634630b79bcbc12c2d12
Homepage: https://cran.r-project.org/package=PlanetNICFI
Description: CRAN Package 'PlanetNICFI' (Processing of the 'Planet NICFI' Satellite Imagery)
 It includes functions to download and process the 'Planet NICFI' (Norway's
 International Climate and Forest Initiative) Satellite Imagery utilizing the
 Planet Mosaics API
 <https://developers.planet.com/docs/basemaps/reference/#tag/Basemaps-and-Mosaics>.
 'GDAL' (library for raster and vector geospatial data formats) and 'aria2c'
 (paralleled download utility) must be installed and configured in the user's
 Operating System.

Package: r-cran-planets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-planets_0.1.0-1.ca2004.1_all.deb
Size: 90128
MD5sum: f3cc09895a8949f10b67bee2074a7ca1
SHA1: 3ea5bc3518f6c4d146a7ad42d6f444525256319a
SHA256: 3b3cf7a8e84d60415c08128602dee10d55d1ca31eac28a121275560633c56f2a
SHA512: 1f78e4d97c2cf0b18eefae67da8f95f3085863b474fdada4c8a2bcc4d0500a3de41344118300dde86751ac381f1f53cecfe429fec1a9f06a23640f7b161f786b
Homepage: https://cran.r-project.org/package=planets
Description: CRAN Package 'planets' (Simple and Accessible Data from all Known Planets)
 The goal of 'planets' is to provide of very simple and accessible data
 containing basic information from all known planets.

Package: r-cran-planningml
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3032
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-caret, r-cran-lubridate, r-cran-matrix, r-cran-mess, r-cran-dplyr, r-cran-proc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-planningml_1.0.1-1.ca2004.1_all.deb
Size: 1377728
MD5sum: 05f9cba60f0e7a78bab86f7f60ada622
SHA1: a73331e12a22a40e6d00df793a3f7cb5f2897144
SHA256: 8f377a541f661bff0e57904be5be27f11ff8a7a46a99accfb09a0f04483eedef
SHA512: 102e9a8f3442fbf9330453dd170179dad352dbf28294dddddec1c85a3c72a15289252b584b92d73a994344f2e839c942b7cb257c66c4e0469868e84802f6cae5
Homepage: https://cran.r-project.org/package=planningML
Description: CRAN Package 'planningML' (A Sample Size Calculator for Machine Learning Applications inHealthcare)
 Advances in automated document classification has led to identifying massive
 numbers of clinical concepts from handwritten clinical notes. These high
 dimensional clinical concepts can serve as highly informative predictors in
 building classification algorithms for identifying patients with different
 clinical conditions, commonly referred to as patient phenotyping. However,
 from a planning perspective, it is critical to ensure that enough data is
 available for the phenotyping algorithm to obtain a desired classification
 performance. This challenge in sample size planning is further exacerbated
 by the high dimension of the feature space and the inherent imbalance of the
 response class. Currently available sample size planning methods can be
 categorized into: (i) model-based approaches that predict the sample size
 required for achieving a desired accuracy using a linear machine learning
 classifier and (ii) learning curve-based approaches (Figueroa et al. (2012)
 <doi:10.1186/1472-6947-12-8>) that fit an inverse power law curve to pilot
 data to extrapolate performance. We develop model-based approaches for
 imbalanced data with correlated features, deriving sample size formulas for
 performance metrics that are sensitive to class imbalance such as Area Under
 the receiver operating characteristic Curve (AUC) and Matthews Correlation
 Coefficient (MCC). This is done using a two-step approach where we first
 perform feature selection using the innovated High Criticism thresholding
 method (Hall and Jin (2010) <doi:10.1214/09-AOS764>), then determine the
 sample size by optimizing the two performance metrics. Further, we develop
 software in the form of an R package named 'planningML' and an 'R' 'Shiny'
 app to facilitate the convenient implementation of the developed model-based
 approaches and learning curve approaches for imbalanced data. We apply our
 methods to the problem of phenotyping rare outcomes using the MIMIC-III
 electronic health record database. We show that our developed methods which
 relate training data size and performance on AUC and MCC, can predict the
 true or observed performance from linear ML classifiers such as LASSO and
 SVM at different training data sizes. Therefore, in high-dimensional
 classification analysis with imbalanced data and correlated features, our
 approach can efficiently and accurately determine the sample size needed for
 machine-learning based classification.

Package: r-cran-planr
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3999
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-lubridate, r-cran-magrittr, r-cran-rcpproll
Suggests: r-cran-highcharter, r-cran-knitr, r-cran-reactable, r-cran-reactablefmtr, r-cran-rmarkdown, r-cran-shiny, r-cran-tidyverse, r-cran-sparkline, r-cran-dt, r-cran-diagrammer, r-cran-networkd3, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-planr_0.5.1-1.ca2004.1_all.deb
Size: 665732
MD5sum: 0a51d916475ef06638519ad2559d5d09
SHA1: aee4d5a285d652a3037d6378e2275b9debc840ab
SHA256: c4c3bc2c2818f227fce210d6d6900599c8da0f7cdd9d01b8b22965cc91398811
SHA512: 1985853879a7afeb27d87bfd40d4aadc5b2ad55766998cc0e62841f6b359e7dcadd18ca24a0af651ec2da53b0b606f2f49e88af0c5c1bf6f711d173d27a31348
Homepage: https://cran.r-project.org/package=planr
Description: CRAN Package 'planr' (Tools for Supply Chain Management, Demand and Supply Planning)
 Perform flexible and quick calculations for Demand and Supply Planning, such
 as projected inventories and coverages, as well as replenishment plan. For
 any time bucket, daily, weekly or monthly, and any granularity level,
 product or group of products.

Package: r-cran-planscorer
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-webshot2
Suggests: r-cran-httptest2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-planscorer_0.0.2-1.ca2004.1_all.deb
Size: 412896
MD5sum: 02f5578ed2f1c91f83663ab05d9ce011
SHA1: 94f157912c066dd5cefcbc0d484979c9fa531f89
SHA256: 762c4abb6e2533c2f033ac32680fe7da2e337aa4c0053615ad2490245f6f40be
SHA512: b697e04338efe2890832ef3c888166249c66ac336104eb853f0e80d3bf64d78f854baae0a95c72e2c826c756019e73634904dd6a4d7bb912b8427c6e8004f775
Homepage: https://cran.r-project.org/package=planscorer
Description: CRAN Package 'planscorer' (Score Redistricting Plans with 'PlanScore')
 Provides access to the 'PlanScore' Application Programming Interface
 (<https://github.com/PlanScore/PlanScore/blob/main/API.md>) for scoring
 redistricting plans. Allows for upload of plans from block assignment files
 and shape files.  For shapes in memory, such as from 'sf' or 'redist', it
 processes them to save and upload. Includes tools for tidying responses and
 saving output from the website.

Package: r-cran-plantecophys
Architecture: all
Version: 1.4-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-nlstools, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dt
Filename: pool/dists/focal/main/r-cran-plantecophys_1.4-6-1.ca2004.1_all.deb
Size: 228276
MD5sum: 2ee650a85b532bc43ea73f920cb6add0
SHA1: 9c4e7cbee4f93f6b30ea01594db78cd643d3e799
SHA256: bdd467969ca95945a4875f9e69ea8602751238cd80c12ae8858d4a6f92abc93e
SHA512: 93a876d1bff0a9a115b07aa169af31b14bc33c939f39159b7b4ae4f9cc56a13a03b9e71fbc00e0c0757d757ff4f83e8050ec95aa39ff516fcd02c8eaf32cbb35
Homepage: https://cran.r-project.org/package=plantecophys
Description: CRAN Package 'plantecophys' (Modelling and Analysis of Leaf Gas Exchange Data)
 Coupled leaf gas exchange model, A-Ci curve simulation and fitting,
 Ball-Berry stomatal conductance models, leaf energy balance using
 Penman-Monteith, Cowan-Farquhar optimization, humidity unit conversions.
 See Duursma (2015) <doi:10.1371/journal.pone.0143346>.

Package: r-cran-plantecowrap
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-plantecophys, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plantecowrap_1.0.4-1.ca2004.1_all.deb
Size: 321324
MD5sum: 7f21244e3a5f7500fefdb8b28f23e49b
SHA1: b2fb55805e2a70d0f3f04a0ba69698c6fdcec0c8
SHA256: 52c7884b43ea814c6de996eeada5f13396e15da1a8ea71e54a6bb43c81c34eaa
SHA512: 768ca9106f25ab94c229ce00b6eb57ed08fbea2f1f44e0bf17858d730facc963342d635644f774107fa0559182b035fe50dca11178498c84261a789393e275ec
Homepage: https://cran.r-project.org/package=plantecowrap
Description: CRAN Package 'plantecowrap' (Enhancing Capabilities of 'plantecophys')
 Provides wrapping functions to add to capabilities to 'plantecophys'
 (Duursma, 2015, <doi:10.1371/journal.pone.0143346>). Key added capabilities
 include temperature responses of mesophyll conductance (gm, gmeso), apparent
 Michaelis-Menten constant for rubisco carboxylation in air (Km, Kcair),and
 photorespiratory CO2 compensation point (GammaStar) for fitting A-Ci or A-Cc
 curves for C3 plants (for temperature responses of gm, Km, & GammaStar, see
 Bernacchi et al., 2002, <doi:10.1104/pp.008250>; for theory on fitting A-Ci
 or A-Cc curves, see Farquhar et al., 1980; <doi:10.1007/BF00386231>, von
 Caemmerer, 2000, ISBN:064306379X; Ethier & Livingston, 2004
 <doi:10.1111/j.1365-3040.2004.01140.x>; and Gu et al., 2010,
 <doi:10.1111/j.1365-3040.2010.02192.x>). Includes the ability to fit the
 Arrhenius and modified Arrhenius temperature response functions (see Medlyn
 et al., 2002, <doi:10.1046/j.1365-3040.2002.00891.x>) for maximum rubisco
 carboxylation rates (Vcmax) and maximum electron transport rates (Jmax) (see
 Farquhar et al., 1980; <doi:10.1007/BF00386231>).

Package: r-cran-plantphysior
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plantphysior_1.0.0-1.ca2004.1_all.deb
Size: 88584
MD5sum: faf9d1f44299dd3cc82ec828580f628d
SHA1: 1a9c5924bda8b82325670841753eae9c33b932ce
SHA256: c8cc77067c6f6c99ee705c308f8b06f102ffd412ae9dc0ccfdc701014d14dc9f
SHA512: bb0a572edc89012315088a09f265b756e4dabb435795eea32b0284eb85083c3e875dce48b19c361b867367f9ba4cb16d7266101642066d2a01dcdf03bf9ad9e6
Homepage: https://cran.r-project.org/package=plantphysioR
Description: CRAN Package 'plantphysioR' (Fundamental Formulas for Plant Physiology)
 Functions tailored for scientific and student communities involved in plant
 science research. Functionalities encompass estimation chlorophyll content
 according to Arnon (1949) <doi:10.1104/pp.24.1.1>, determination water
 potential of Polyethylene glycol(PEG)6000 as in Michel and Kaufmann (1973)
 <doi:10.1104/pp.51.5.914> and functions related to estimation of yield
 related indices like Abiotic tolerance index as given by Moosavi et
 al.(2008)<doi:10.22059/JDESERT.2008.27115>, Geometric mean productivity
 (GMP) by Fernandez (1992) <ISBN:92-9058-081-X>, Golden Mean by Moradi et
 al.(2012)<doi:10.14207/ejsd.2012.v1n3p543>, HAM by Schneider et
 al.(1997)<doi:10.2135/cropsci1997.0011183X003700010007x>,MPI and TOL by
 Hossain etal., (1990)<doi:10.2135/cropsci1990.0011183X003000030030x>, RDI by
 Fischer et al. (1979)<doi:10.1071/AR9791001>,SSI by Fisher et
 al.(1978)<doi:10.1071/AR9780897>, STI by Fernandez
 (1993)<doi:10.22001/wvc.72511>,YSI by Bouslama & Schapaugh
 (1984)<doi:10.2135/cropsci1984.0011183X002400050026x>, Yield index by
 Gavuzzi et al.(1997)<doi:10.4141/P96-130>.

Package: r-cran-planttracker
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4256
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-sf, r-cran-units
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-minidown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-planttracker_1.1.0-1.ca2004.1_all.deb
Size: 2873892
MD5sum: 35dd0e5e73d5aa620082643f51ed8d2a
SHA1: f3fc2f700c3e2ac56c89f7f8b6eac2f4054d74f6
SHA256: 4f7b312f7c601a5f8d09136d7ff3b1ac9ad5b2d81e9196184b33fbba9e885fe4
SHA512: ae5448bae73182b758f236ece9bd54ec732aa1e83926313b05e659f3a9d93e614bf00c02e00c99dc9a814f6c3c769439c191012f460e3d6a4ced9199baf46021
Homepage: https://cran.r-project.org/package=plantTracker
Description: CRAN Package 'plantTracker' (Extract Demographic and Competition Data from Fine-Scale Maps)
 Extracts growth, survival, and local neighborhood density information from
 repeated, fine-scale maps of organism occurrence. Further information about
 this package can be found in our journal article, "plantTracker: An R
 package to translate maps of plant occurrence into demographic data"
 published in 2022 in Methods in Ecology and Evolution (Stears, et al., 2022)
 <doi:10.1111/2041-210X.13950>.

Package: r-cran-plaqr
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-plaqr_2.0-1.ca2004.1_all.deb
Size: 74624
MD5sum: 02e8ad313a6ec775218fb586e68c3448
SHA1: b568e806b41a6b153a984b3bf5990781013f01e2
SHA256: a36fb7f7b7de434712781b5d1fbff897bb82f5e964a4c32978f286f1a98a2e10
SHA512: 73b368bf337c494530f57e040040272b9ec463b6a8cc7854d9aab18a1378065b7a96f84cbddd5ff3c7c6f5c0fd37ddab539dfe416f1f574ef2372a2214c32dbe
Homepage: https://cran.r-project.org/package=plaqr
Description: CRAN Package 'plaqr' (Partially Linear Additive Quantile Regression)
 Estimation, prediction, thresholding, transformation, and plotting for
 partially linear additive quantile regression.  Intuitive functions for
 fitting and plotting partially linear additive quantile regression models.
 Uses and works with functions from the 'quantreg' package.

Package: r-cran-plasma
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3363
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-pls, r-cran-plsrcox, r-cran-polychrome, r-cran-viridislite, r-cran-beanplot, r-cran-oompabase
Suggests: r-cran-r.rsp, r-cran-tidyr, r-cran-classdiscovery
Filename: pool/dists/focal/main/r-cran-plasma_1.1.5-1.ca2004.1_all.deb
Size: 1814948
MD5sum: b4062cefe59a20692ebfbc80161013c0
SHA1: e7987280b74e5e3aba70fab3e954ed227db9209d
SHA256: a22a61f8b6dbeb7388ad26ddaec57a51705db1a07a8032a5b6f5c5d11caa19a9
SHA512: 57303d4d4034b773fb946706e6a026f19c2635614a574d8a2c6d6aac17d7fcece558477573171b03f81db533ae0e832704205838dae9dcebaa7cf2b7b76ac498
Homepage: https://cran.r-project.org/package=plasma
Description: CRAN Package 'plasma' (Partial LeAst Squares for Multiomic Analysis)
 Contains tools for supervised analyses of incomplete, overlapping multiomics
 datasets. Applies partial least squares in multiple steps to find models
 that predict survival outcomes. See Yamaguchi et al. (2023)
 <doi:10.1101/2023.03.10.532096>.

Package: r-cran-plasmamutationdetector2
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4109
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-bioc-genomicranges, r-bioc-variantannotation, r-bioc-s4vectors, r-bioc-rsamtools, r-bioc-rtracklayer, r-cran-robustbase, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-cran-plasmamutationdetector2_1.1.11-1.ca2004.1_all.deb
Size: 3356696
MD5sum: 961f4535bb237d0cd71ce81a170cf844
SHA1: 338497ee955d2381fad83b64586adfc91fc1b9d9
SHA256: 164680ad9e0592d0383f5af3ecafc344f8793b889c5ab8f801331905269342ec
SHA512: a2393517821d149204e908ad8916e400c253858b8f7ce178f3310177655428dc1cfd6e88ce2b049dbd040ee3d6eb261cc71fa1b42176bb09a90ce02c8f5dfd23
Homepage: https://cran.r-project.org/package=PlasmaMutationDetector2
Description: CRAN Package 'PlasmaMutationDetector2' (Tumor Mutation Detection in Plasma using Barcoding)
 Aims at detecting single nucleotide variation (SNV) and insertion/deletion
 (INDEL) in circulating tumor DNA (ctDNA), used as a surrogate marker for
 tumor, at each base position of an Next Generation Sequencing (NGS) analysis
 using barcoding. Mutations are assessed by comparing the minor-allele
 frequency at each position to the measured PER in control samples.  This
 package has been used for Kjersti Tjensvoll, Morten Lapin, Bjørnar Gilje,
 Herish Garresori, Satu Oltedal, Rakel Brendsdal Forthun, Anders Molven, Yves
 Rozenholc and Oddmund N\o{o}rdgaard (2022)
 <https://www.nature.com/articles/s41598-022-09698-5>.

Package: r-cran-plasmamutationdetector
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4654
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-bioc-genomicranges, r-bioc-variantannotation, r-bioc-s4vectors, r-bioc-rsamtools, r-bioc-rtracklayer, r-cran-robustbase, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-cran-plasmamutationdetector_1.7.2-1.ca2004.1_all.deb
Size: 3882408
MD5sum: d4ad6e023caf35ee4cd27ded25004120
SHA1: 0a633641120a9d2bdc0730406bf1f530962d88d8
SHA256: 312945601e537cd2edb4e634369eca62546637f569a2289e2a9f7176a7291ec4
SHA512: 0edfd3184cd2802aa3bc0d76508745b5961d4666bb16d65696f73cee4696a1c05a22752560003cf0d1e89d390822b3001e59f734280663fdf8c1ebb07a38558c
Homepage: https://cran.r-project.org/package=PlasmaMutationDetector
Description: CRAN Package 'PlasmaMutationDetector' (Tumor Mutation Detection in Plasma)
 Aims at detecting single nucleotide variation (SNV) and insertion/deletion
 (INDEL) in circulating tumor DNA (ctDNA), used as a surrogate marker for
 tumor, at each base position of an Next Generation Sequencing (NGS)
 analysis. Mutations are assessed by comparing the minor-allele frequency at
 each position to the measured PER in control samples.

Package: r-cran-plasmidprofiler
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-gdata, r-cran-ggdendro, r-cran-ggplot2, r-cran-gridextra, r-cran-gtable, r-cran-htmlwidgets, r-cran-magrittr, r-cran-plotly, r-cran-plyr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-stringr
Suggests: r-cran-lintr
Filename: pool/dists/focal/main/r-cran-plasmidprofiler_0.1.6-1.ca2004.1_all.deb
Size: 97176
MD5sum: 4a3d344a317ac557f1eff6c7270e34dc
SHA1: f07a593c136cd8cfe5f90aa4b63c2800f28c8ec0
SHA256: c5a205847220424ceaa7d7ca7cda5a458d749a593a157c54fe466f8aaffdd941
SHA512: a7166a9d1b687118053aacc44d1e107aca3115609c0e375744a90eed1a4af9a95801231a2b4f3b774195ccbc9e1221f5581dd8cc60b257026ea5e0f4a51faa1f
Homepage: https://cran.r-project.org/package=Plasmidprofiler
Description: CRAN Package 'Plasmidprofiler' (Visualization of Plasmid Profile Results)
 Contains functions developed to combine the results of querying a plasmid
 database using short-read sequence typing with the results of a blast
 analysis against the query results.

Package: r-cran-plasso
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-plasso_0.1.2-1.ca2004.1_all.deb
Size: 201336
MD5sum: 0f8cd3507ce5e852e6ea0bc85ed061b0
SHA1: 410c4dd2049fe075594e2aa9d94bf509878a88c8
SHA256: 22cb442373ef379954f874ca477dc717269b0b5bc3edcafa4e85547f571d1142
SHA512: 1c64bc6b21d3fcfd0a912f14d8b2a0213e1b5dc92fdc2935388c1fb368c09d0ba2d9e1db7d884823122a4b1d4eece7cb9827912e314a06bf215e23e0504c551d
Homepage: https://cran.r-project.org/package=plasso
Description: CRAN Package 'plasso' (Cross-Validated (Post-) Lasso)
 Built on top of the 'glmnet' library by Friedman, Hastie and Tibshirani
 (2010) <doi:10.18637/jss.v033.i01>, the 'plasso' package follows Knaus
 (2022) <doi:10.1093/ectj/utac015> and comes up with two functions that
 estimate least squares Lasso and Post-Lasso models.  The plasso() function
 adds coefficient paths for a Post-Lasso model to the standard 'glmnet'
 output.  On top of that cv.plasso() cross-validates the coefficient paths
 for both the Lasso and Post-Lasso model and provides optimal hyperparameter
 values for the penalty term lambda.

Package: r-cran-plater
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plater_1.0.5-1.ca2004.1_all.deb
Size: 90596
MD5sum: 6150dcfbaa64911e03415e7263c1827c
SHA1: 93a82a83f26cfb80a862913a946aa8f4ce61d1af
SHA256: 0cdc92b04195da686129c4c1673bb259c368eb19ce30c10cd80f9e42354c1dbd
SHA512: eff1e46266883bbc37b03e9610707328e5ef90e85707bb8459c3ec71fdfef076545875cea1a2d84757d425917da1f92c9b0c058ddb5269e01eecc2e37a381568
Homepage: https://cran.r-project.org/package=plater
Description: CRAN Package 'plater' (Read, Tidy, and Display Data from Microtiter Plates)
 Tools for interacting with data from experiments done in microtiter plates.
 Easily read in plate-shaped data and convert it to tidy format, combine
 plate-shaped data with tidy data, and view tidy data in plate shape.

Package: r-cran-platetools
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-platetools_0.1.7-1.ca2004.1_all.deb
Size: 145616
MD5sum: e7ce16808700bb85a8400cc60a349e14
SHA1: a2904383f8a40fdfabe7501e3ee481be17f645c4
SHA256: c376223ee915a835c3f159abddc29c5f26e81c592d4b4549846d57348eb69a11
SHA512: 6ff85f6c12e8c8b9422fbf54459a91315de37cf1528fa028a8908d3d05835a33e167f1557e91e7ab8315a5adfaf5e7c17d43c5f8d4ff8f1a735348fd6cc5d84d
Homepage: https://cran.r-project.org/package=platetools
Description: CRAN Package 'platetools' (Tools and Plots for Multi-Well Plates)
 Collection of functions for working with multi-well microtitre plates,
 mainly 96, 384 and 1536 well plates.

Package: r-cran-platformdesign
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1240
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-platformdesign_2.1.4-1.ca2004.1_all.deb
Size: 541624
MD5sum: 27c50c3bc60a6ff2f4b909e6f3f1f9ce
SHA1: c7b8e357edf0cc8137f4ccaf47bcf0894ccea8a2
SHA256: 8e08e568a4974a9fb6be6532fa37bbcf269cbc4df0b34667df887693166cdd08
SHA512: 63cea8cd6c23db41b2fdc3e4b43af17ea8b52d42d9609f7cb7f123cb200eabaaaf819bef64e9c2c0dc3663583de49324e0d5fd0d9937b297b8c68dfc1f62677e
Homepage: https://cran.r-project.org/package=PlatformDesign
Description: CRAN Package 'PlatformDesign' (Optimal Two-Period Multiarm Platform Design with NewExperimental Arms Added During the Trial)
 Design parameters of the optimal two-period multiarm platform design
 (controlling for either family-wise error rate or pair-wise error rate) can
 be calculated using this package, allowing pre-planned deferred arms to be
 added during the trial. More details about the design method can be found in
 the paper: Pan, H., Yuan, X. and Ye, J.  (2022) "An optimal two-period
 multiarm platform design with new experimental arms added during the trial".
 Manuscript submitted for publication. For additional references: Dunnett, C.
 W. (1955) <doi:10.2307/2281208>.

Package: r-cran-platowork
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-platowork_0.0.1-1.ca2004.1_all.deb
Size: 63736
MD5sum: 32d42373e1dd18124eb3818ff18a45b7
SHA1: 8dff92c3a9a5df7f4cc8f95f106feb3e00d469f6
SHA256: f0209360120835c7fb2fd57ec768f04923e53d97fdbe9c01aa986d3bdfbea79e
SHA512: 2a7f42d643f788a59d8ae9b3b580a0338fdce45267e986d725334874cfe2594a2b705936dc476bc79a5f1553f16cb909b124da97777c59ff40382957c0ba2368
Homepage: https://cran.r-project.org/package=platowork
Description: CRAN Package 'platowork' (Data from a Test of the PlatoWork tDCS Headset)
 Data and analysis from an experiment with improving touch typing speed,
 using the tDCS PlatoWork headset produced by PlatoScience.

Package: r-cran-plattice
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-plattice_1.1-1.ca2004.1_all.deb
Size: 14108
MD5sum: 16d9155656571a38612c2866b026974e
SHA1: 32f263e841d2e52277e5a15644b3e705c7fd70b4
SHA256: c7bc854b6335cfa94208e1859d02a3c78bd16cccca213aedf770fc18dd5be608
SHA512: 4823332ee407dab192cdd65f2cf2d13886550bdcdbff17dcfcb7f5c776cb771ffcaa6feb6cf609f73369b2659862d759f1c3180330889b8208efe25727ef372d
Homepage: https://cran.r-project.org/package=plattice
Description: CRAN Package 'plattice' (Lattice Plot for Panel Data)
 It creates a lattice plot to visualize panel or longitudinal data. The
 observed values are plotted as dots and the fitted values as lines, both
 against time. The plot is customizable and easy to edit, even if you do not
 know how to construct a lattice plot from scratch.

Package: r-cran-platypus
Architecture: all
Version: 3.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1818
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-cran-cowplot, r-cran-dplyr, r-cran-ggalluvial, r-cran-ggplot2, r-cran-ggseqlogo, r-bioc-ggtree, r-cran-jsonlite, r-cran-knitr, r-cran-magrittr, r-cran-matrix, r-cran-plyr, r-cran-reshape2, r-cran-seqinr, r-cran-seurat, r-cran-seuratobject, r-cran-stringdist, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-useful
Suggests: r-bioc-annotationdbi, r-cran-ape, r-bioc-biocgenerics, r-bioc-biomart, r-cran-circlize, r-cran-cluster, r-cran-doparallel, r-bioc-fgsea, r-cran-ggrepel, r-cran-ggridges, r-cran-gridextra, r-cran-harmony, r-cran-igraph, r-cran-inext, r-bioc-limma, r-cran-kmer, r-cran-msigdbr, r-cran-phangorn, r-cran-pheatmap, r-cran-phytools, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rstudioapi, r-cran-rtsne, r-cran-scales, r-cran-sf, r-bioc-singlecellexperiment, r-bioc-slingshot, r-cran-tidytree, r-cran-tidyselect, r-cran-tidyverse, r-cran-umap, r-cran-vegan, r-cran-viridis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-platypus_3.6.0-1.ca2004.1_all.deb
Size: 1516560
MD5sum: ce3e2b831f6e41f7b1aef72483305878
SHA1: 1c90138431679834da7b8ff8ba075fe778a7ef6e
SHA256: 79cf24244578031d41762268b55f0f20ced498fcf487e6fd770f02a5af5746fb
SHA512: a367d59481e40e379dcccc8c28289cab717ce4148f78ccef609ca129d3f3f6e95c7a21c5ef253846cda42ad26e9f04441f940b4981a2653bb85dcbff105e10a4
Homepage: https://cran.r-project.org/package=Platypus
Description: CRAN Package 'Platypus' (Single-Cell Immune Repertoire and Gene Expression Analysis)
 We present 'Platypus', an open-source software platform providing a
 user-friendly interface to investigate B-cell receptor and T-cell receptor
 repertoires from scSeq experiments. 'Platypus' provides a framework to
 automate and ease the analysis of single-cell immune repertoires while also
 incorporating transcriptional information involving unsupervised clustering,
 gene expression and gene ontology. This R version of 'Platypus' is part of
 the 'ePlatypus' ecosystem for computational analysis of immunogenomics data:
 Yermanos et al. (2021) <doi:10.1093/nargab/lqab023>, Cotet et al. (2023)
 <doi:10.1093/bioinformatics/btad553>.

Package: r-cran-play
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-worldfootballr
Filename: pool/dists/focal/main/r-cran-play_0.1.3-1.ca2004.1_all.deb
Size: 23100
MD5sum: e0b1a2bdb7097f7822180ce7642ce754
SHA1: 49cbd8d8260e02cf712783c19b8ebb135c4f71a0
SHA256: fdd61ab40841b94a9890764c37c0da229ca05d80730e6fcb9d054bdc429ccc06
SHA512: 3d060345e078d850a28701a9c355d6de01e41724c7052b1fbd822c49f980517c0c46ad24124cc4caf8de84f3f5767e172c3c71504f590633d6954b99fb83da97
Homepage: https://cran.r-project.org/package=play
Description: CRAN Package 'play' (Visualize Sports Data)
 Provides functions to visualise sports data. Converts data into a format
 suitable for plotting charts. Helps to ease the process of working with
 messy sports data to a more user friendly format. Football data is accessed
 through 'worldfootballR' '<https://github.com/JaseZiv/worldfootballR>' which
 gets data from 'FBref' <https://fbref.com/en>, 'Transfermarkt'
 <https://www.transfermarkt.com/>, 'Understat' <https://understat.com/>, and
 'fotmob' <https://www.fotmob.com/>.

Package: r-cran-playerchart
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggtext, r-cran-magrittr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-playerchart_1.0.0-1.ca2004.1_all.deb
Size: 18232
MD5sum: 6bb37964ebdc3bbbc3894c9500372acb
SHA1: 2f6b85bed2249c39bc81e318b24dd3ee0cbf0e40
SHA256: fca70006fb81bf8ce785641def8b02c68a308dc11131f902fb9911827627973e
SHA512: 179ed425a4c164f28685d81e265036fae50a4895394838721f3cf885f51b5ea6f5056a5899e5737f29eb228f314c6a456930f1ffb670fa20c87331e87ce3db76
Homepage: https://cran.r-project.org/package=PlayerChart
Description: CRAN Package 'PlayerChart' (Generate Pizza Chart: Player Stats 0-100)
 Create an interactive pizza chart visualizing a specific player's statistics
 across various attributes in a sports dataset. The chart is constructed
 based on input parameters: 'data', a dataframe containing player data for
 any sports; 'player_stats_col', a vector specifying the names of the columns
 from the dataframe that will be used to create slices in the pizza chart,
 with statistics ranging between 0 and 100; 'name_col', specifying the name
 of the column in the dataframe that contains the player names; and
 'player_name', representing the specific player whose statistics will be
 visualized in the chart, serving as the chart title.

Package: r-cran-pldamixture
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-pldamixture_0.1.1-1.ca2004.1_all.deb
Size: 129400
MD5sum: 099f22d9fe8b2393e49d4271ab8af1e0
SHA1: 909709c89cdb480cd67a4901ab5fdd61bed56d49
SHA256: 809dad644bb195f272ba25430d9e147f714ce48bda05b59dd475efeeb10e9d3f
SHA512: 245a7e454d1874fafe4e196d50d1eddcc283c5acf8f195f1ea4a883a082b9bb76584f8139a828098500db20a6ed417ebe7cec23c6556fe0bd5b56dc072386be9
Homepage: https://cran.r-project.org/package=pldamixture
Description: CRAN Package 'pldamixture' (Post-Linkage Data Analysis Based on Mixture Modelling)
 Perform inference in the secondary analysis setting with linked data
 potentially containing mismatch errors. Only the linked data file may be
 accessible and information about the record linkage process may be limited
 or unavailable. Implements the 'General Framework for Regression with
 Mismatched Data' developed by Slawski et al. (2023)
 <doi:10.48550/arXiv.2306.00909>. The framework uses a mixture model for
 pairs of linked records whose two components reflect distributions
 conditional on match status, i.e., correct match or mismatch. Inference is
 based on composite likelihood and the Expectation-Maximization (EM)
 algorithm. The package currently supports Cox Proportional Hazards
 Regression (right-censored data only) and Generalized Linear Regression
 Models (Gaussian, Gamma, Poisson, and Logistic (binary models only)).
 Information about the underlying record linkage process can be incorporated
 into the method if available (e.g., assumed overall mismatch rate, safe
 matches, predictors of match status, or predicted probabilities of correct
 matches).

Package: r-cran-plde
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plde_0.1.2-1.ca2004.1_all.deb
Size: 42340
MD5sum: af468d0d24b865ddd16cdc4dd2d5bc46
SHA1: 28ddc14ac2520d0d6a4e41cf0c6741c860d0838a
SHA256: f193f52e115ae710306ef8b9522a7bcf6699db9d7b83b5d41ad2c71c414f4980
SHA512: e1756a4ae85db8df598ce768b85a2cea6fc59d3609e36109b8117a97af22e6a0e4026badc8954a7b8d875476035f2eaa4d63c421be6caa7b5656ded2eb85de1a
Homepage: https://cran.r-project.org/package=plde
Description: CRAN Package 'plde' (Penalized Log-Density Estimation Using Legendre Polynomials)
 We present a penalized log-density estimation method using Legendre
 polynomials with lasso penalty to adjust estimate's smoothness.
 Re-expressing the logarithm of the density estimator via a linear
 combination of Legendre polynomials, we can estimate parameters by
 maximizing the penalized log-likelihood function. Besides, we proposed an
 implementation strategy that builds on the coordinate decent algorithm,
 together with the Bayesian information criterion (BIC).

Package: r-cran-pleio
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rms, r-cran-matrix
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pleio_1.9-1.ca2004.1_all.deb
Size: 436764
MD5sum: d2a69de48b99cc2be7ab39e5b5a703ab
SHA1: 844352fc06cec9b64f167665fdfca4a62af5ec09
SHA256: d78cb295b2ef0a12e922a94e1850360eeb2bff9f934459e0a8f07daf56df3a41
SHA512: 15dcb44fe7113146a20b33460cf464b1f7ad57ac99ac4150a1b355af09c623cc2c898330336230788e1dc9a79ebc6d9f9880d28798262b496a4b645ed51cdd7a
Homepage: https://cran.r-project.org/package=pleio
Description: CRAN Package 'pleio' (Pleiotropy Test for Multiple Traits on a Genetic Marker)
 Perform tests for pleiotropy of multiple traits of various variable types on
 genotypes for a genetic marker.

Package: r-cran-plelma
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlogit, r-cran-dfidx
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plelma_0.2.1-1.ca2004.1_all.deb
Size: 219448
MD5sum: 71f2c826022ed3435af7c62986f62d8b
SHA1: d1e4d6d547dc9b38d13e0264367f562ee89db154
SHA256: 6611bb5c19f63052298ca0c8ff3355f586c3fedfd4a6712b70becf66d2b72200
SHA512: c10e5772ade555a0420482bb868600d8bb2bcde9811ab38be7e66e3eedbb07d828e2faeb63e37c576f1787a28304235232952d72e282054a20e1c20b5b1c277b
Homepage: https://cran.r-project.org/package=pleLMA
Description: CRAN Package 'pleLMA' (Pseudo-Likelihood Estimation of Log-Multiplicative AssociationModels)
 Log-multiplicative association models (LMA) are models for
 cross-classifications of categorical variables where interactions are
 represented by products of category scale values and an association
 parameter. Maximum likelihood estimation (MLE) fails for moderate to large
 numbers of categorical variables. The 'pleLMA' package overcomes this
 limitation of MLE by using pseudo-likelihood estimation to fit the models to
 small or large cross-classifications dichotomous or multi-category
 variables.  Originally proposed by Besag (1974,
 <doi:10.1111/j.2517-6161.1974.tb00999.x>), pseudo-likelihood estimation
 takes large complex models and breaks it down into smaller ones. Rather than
 maximizing the likelihood of the joint distribution of all the variables, a
 pseudo-likelihood function, which is the product likelihoods from
 conditional distributions, is maximized. LMA models can be derived from a
 number of different frameworks including (but not limited to) graphical
 models and uni-dimensional and multi-dimensional item response theory
 models. More details about the models and estimation can be found in the
 vignette.

Package: r-cran-plexi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-igraph, r-cran-keras, r-cran-ggraph, r-cran-ggplot2, r-cran-aggregation
Filename: pool/dists/focal/main/r-cran-plexi_1.0.0-1.ca2004.1_all.deb
Size: 87868
MD5sum: 1536323dbb40392b58c8366e4f75d8d1
SHA1: 0df455513a7f755b74d340565d604af4079d4a4b
SHA256: 283c33c37fb4d3b19db3018726d3cab9abf71c8e60b2383e4b2ee57039681aad
SHA512: 99a80561d73f9ba0059e1b0248a48b32d8750e081a06bd7ba3fae9546ef21440253fbe6657b62fbb82856f59df5c15c4e07449781a65af0d0fd7442dac65d89a
Homepage: https://cran.r-project.org/package=PLEXI
Description: CRAN Package 'PLEXI' (Multiplex Network Analysis)
 Interactions between different biological entities are crucial for the
 function of biological systems.  In such networks, nodes represent
 biological elements, such as genes, proteins and microbes, and their
 interactions can be defined by edges, which can be either binary or
 weighted.  The dysregulation of these networks can be associated with
 different clinical conditions such as diseases and response to treatments.
 However, such variations often occur locally and do not concern the whole
 network.  To capture local variations of such networks, we propose multiplex
 network differential analysis (MNDA).  MNDA allows to quantify the
 variations in the local neighborhood of each node (e.g. gene) between the
 two given clinical states, and to test for statistical significance of such
 variation.  Yousefi et al. (2023) <doi:10.1101/2023.01.22.525058>.

Package: r-cran-plfma
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-tkrplot, r-bioc-limma, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-plfma_2.0-1.ca2004.1_all.deb
Size: 127912
MD5sum: f86a1a8626727aadcaadfff2b84b1ded
SHA1: 1788ed20c28daae06daaf73fa93c8981f4eccea8
SHA256: 79d1b2cb6acea25b5e591668a9f98389d7405ea25f17a58bc063a0daf1e542a4
SHA512: 15952ae25c137849c998a26456a15bf7b81e054d513da031eec1171d1ff7d7298d4077029c9114f9be369329fdd39df8866b897ce69f881622a09da1f94308c7
Homepage: https://cran.r-project.org/package=plfMA
Description: CRAN Package 'plfMA' (A GUI to View, Design and Export Various Graphs of Data)
 Provides a graphical user interface for viewing and designing various types
 of graphs of the data. The graphs can be saved in different formats of an
 image.

Package: r-cran-plgraphics
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2782
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chron, r-cran-survival, r-cran-mass, r-cran-lme4
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-plgraphics_1.2-1.ca2004.1_all.deb
Size: 2581724
MD5sum: e398b3c09f3c8cf83dd25449caa60a36
SHA1: 2165f5bcc3fbf589f87db93743712824f186e287
SHA256: 2fe01b50a0b3138410a8b80b94331cabdfec2dd9202c4a0a9b88467bc7a04722
SHA512: 266f9f405558034bb34d9eb6769d0fcfd1a128cb92031cea5ddf38505a94f5842a8409b1048813ed3424e44076ed4195e5b6161327466b5016d363701df54e07
Homepage: https://cran.r-project.org/package=plgraphics
Description: CRAN Package 'plgraphics' (User Oriented Plotting Functions)
 Plots with high flexibility and easy handling, including informative
 regression diagnostics for many models.

Package: r-cran-plindleyroc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tibble, r-cran-vctrs, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plindleyroc_0.1.2-1.ca2004.1_all.deb
Size: 178636
MD5sum: 1b01b5a51fbad9f33cf19e03b1b0d54f
SHA1: 44952d1be7f60c388d4825731d365b2a82dce63d
SHA256: 6781bfb3cb9cf0b6e85d6e7783249049be31f372265724ad08091f7602dd9581
SHA512: 5806830caa00f9c67b678d594ef51edd0f600d9a1cfb1274730ef0d3054e996398601b3e0494a9f0c967da667eac4f64b75cabef7a67f98f6bb265945dbac9fb
Homepage: https://cran.r-project.org/package=PLindleyROC
Description: CRAN Package 'PLindleyROC' (Receiver Operating Characteristic Based on Power LindleyDistribution)
 Receiver Operating Characteristic (ROC) analysis is performed assuming
 samples are from the Power Lindley distribution. Specificity, sensitivity,
 area under the curve and ROC curve are provided.

Package: r-cran-plink
Architecture: all
Version: 1.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1763
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-plink_1.5-1-1.ca2004.1_all.deb
Size: 1200544
MD5sum: e6cd401b9975573b4e97765ec9225295
SHA1: 93a421bc7c51571cd1c4c3f6b3036c1f3ea3a0ca
SHA256: daef22403fe2a223e6aaa3ee91a37e22d33ec2b5d29cd9b69085072e9d6cf4c1
SHA512: 7733b2753473f75e7ae9b77ee755148e481d83d59145cb826ab452219552c70083ec9760343b09a8d96981cfc28fdb14bd1c646c48f8cb27d2147d74f372e3c0
Homepage: https://cran.r-project.org/package=plink
Description: CRAN Package 'plink' (IRT Separate Calibration Linking Methods)
 Item response theory based methods are used to compute linking constants and
 conduct chain linking of unidimensional or multidimensional tests for
 multiple groups under a common item design.  The unidimensional methods
 include the Mean/Mean, Mean/Sigma, Haebara, and Stocking-Lord methods for
 dichotomous (1PL, 2PL and 3PL) and/or polytomous (graded response, partial
 credit/generalized partial credit, nominal, and multiple-choice model)
 items.  The multidimensional methods include the least squares method and
 extensions of the Haebara and Stocking-Lord method using single or multiple
 dilation parameters for multidimensional extensions of all the
 unidimensional dichotomous and polytomous item response models.  The package
 also includes functions for importing item and/or ability parameters from
 common IRT software, conducting IRT true score and observed score equating,
 and plotting item response curves/surfaces, vector plots, information plots,
 and comparison plots for examining parameter drift.

Package: r-cran-plinkfile
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2051
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plinkfile_0.2.1-1.ca2004.1_all.deb
Size: 571928
MD5sum: a06d8fd1987428456edea3665ce80d1d
SHA1: f82fbffbc4fc0f1a1e64ebcd0bcf185db8a5535a
SHA256: d435d79419f3ac0274abf6eac13c227a09158be3bcb23c6a9ab925695498b3e4
SHA512: 0f3c0fb0109e1c17a48e0202d209ae207d29230bf706d2aab742d33dddd3b5c220c422067019635e9269313f85b0498dcf57321ecf79bae7bb8b6a98ef4fdcda
Homepage: https://cran.r-project.org/package=plinkFile
Description: CRAN Package 'plinkFile' ('PLINK' (and 'GCTA') File Helpers)
 Reads/write binary genotype file compatible with 'PLINK'
 <https://www.cog-genomics.org/plink/1.9/input#bed> into/from a R matrix;
 traverse genotype data one windows of variants at a time, like apply() or a
 for loop; reads/writes genotype relatedness/kinship matrices created by
 'PLINK' <https://www.cog-genomics.org/plink/1.9/distance#make_rel> or 'GCTA'
 <https://cnsgenomics.com/software/gcta/#MakingaGRM> into/from a R square
 matrix. It is best used for bringing data produced by 'PLINK' and 'GCTA'
 into R workflow.

Package: r-cran-plinkqc
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optparse, r-cran-data.table, r-cran-r.utils, r-cran-ggplot2, r-cran-ggforce, r-cran-ggrepel, r-cran-cowplot, r-cran-upsetr, r-cran-dplyr, r-cran-igraph, r-cran-sys
Suggests: r-cran-testthat, r-cran-mockery, r-cran-formatr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plinkqc_0.3.4-1.ca2004.1_all.deb
Size: 1996860
MD5sum: cf1289ff0bf8cce9f5f1523a2b2f6bae
SHA1: e8d2d0ea6f093db168fccfca585e6079fc5a6814
SHA256: 3e0fdfe0f965d4f5f52280a7ddee6b952bededc0db10c85e16e6aa6260e54954
SHA512: 4a3e27d87622377a570e4a673315d74ebd3b81718d97302c4d6d3b23da002bb5a9ec725dba0b481dde594a641c204c811598fde48c58426010f3c7d702d25dc7
Homepage: https://cran.r-project.org/package=plinkQC
Description: CRAN Package 'plinkQC' (Genotype Quality Control with 'PLINK')
 Genotyping arrays enable the direct measurement of an individuals genotype
 at thousands of markers. 'plinkQC' facilitates genotype quality control for
 genetic association studies as described by Anderson and colleagues (2010)
 <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g.
 missing genotyping rates per individual, allele frequencies per genetic
 marker) and relationship functions accessible from 'R' and generates a
 per-individual and per-marker quality control report.  Individuals and
 markers that fail the quality control can subsequently be removed to
 generate a new, clean dataset. Removal of individuals based on relationship
 status is optimised to retain as many individuals as possible in the study.

Package: r-cran-plis
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plis_1.2-1.ca2004.1_all.deb
Size: 52592
MD5sum: 53b74e5a6e5c07aa66d6f401e1005501
SHA1: c9801970202d9a1d8f543e696d631a1dd72cf724
SHA256: 278df3f5f759c134392ad7cb75f3aa3d34c3ad79299ddbcba710a6a0daa52f40
SHA512: 1cdf6e45fa94f317d7ef8d8d6e5ae6c080ed566851a6dd3be4cf91bd99a7f87b4e5cebc0bfcc10602722f8c4e84c5880f16e3b533a58aee5766dd797aaed01ba
Homepage: https://cran.r-project.org/package=PLIS
Description: CRAN Package 'PLIS' (Multiplicity Control using Pooled LIS Statistic)
 A multiple testing procedure for testing several groups of hypotheses is
 implemented. Linear dependency among the hypotheses within the same group is
 modeled by using hidden Markov Models.  It is noted that a smaller p value
 does not necessarily imply more significance due to the dependency. A
 typical application is to analyze genome wide association studies datasets,
 where SNPs from the same chromosome are treated as a group and exhibit
 strong linear genomic dependency. See Wei Z, Sun W, Wang K, Hakonarson H
 (2009) <doi:10.1093/bioinformatics/btp476> for more details.

Package: r-cran-plm
Architecture: all
Version: 2.6-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-bdsmatrix, r-cran-collapse, r-cran-zoo, r-cran-nlme, r-cran-sandwich, r-cran-lattice, r-cran-lmtest, r-cran-maxlik, r-cran-rdpack, r-cran-formula
Suggests: r-cran-aer, r-cran-car, r-cran-statmod, r-cran-urca, r-cran-pder, r-cran-texreg, r-cran-knitr, r-cran-rmarkdown, r-cran-fixest, r-cran-lfe
Filename: pool/dists/focal/main/r-cran-plm_2.6-6-1.ca2004.1_all.deb
Size: 1800888
MD5sum: dc2320c9dec00b7bef8afd23c2f3aec4
SHA1: 132dc5cd9bd9328a0977ff2e4202411203b6273f
SHA256: 92dd1568ef9cdd008ab7c630ecdfec982f5ef5494b7bced4eec5deee34f90e0e
SHA512: b7ee3689658586da940abade55d030120768f407bdd7f2fba45121a1d4b15348503447b04eee535a210fa232d5156e3f1fbfae9e126320524fc4bef2292e3e68
Homepage: https://cran.r-project.org/package=plm
Description: CRAN Package 'plm' (Linear Models for Panel Data)
 A set of estimators for models and (robust) covariance matrices, and tests
 for panel data econometrics, including within/fixed effects, random effects,
 between, first-difference, nested random effects as well as
 instrumental-variable (IV) and Hausman-Taylor-style models, panel
 generalized method of moments (GMM) and general FGLS models, mean groups
 (MG), demeaned MG, and common correlated effects (CCEMG) and pooled (CCEP)
 estimators with common factors, variable coefficients and limited dependent
 variables models.  Test functions include model specification, serial
 correlation, cross-sectional dependence, panel unit root and panel Granger
 (non-)causality. Typical references are general econometrics text books such
 as Baltagi (2021), Econometric Analysis of Panel Data
 (<doi:10.1007/978-3-030-53953-5>), Hsiao (2014), Analysis of Panel Data
 (<doi:10.1017/CBO9781139839327>), and Croissant and Millo (2018), Panel Data
 Econometrics with R (<doi:10.1002/9781119504641>).

Package: r-cran-plmixed
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1302
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-numderiv, r-cran-optimx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-irtoys
Filename: pool/dists/focal/main/r-cran-plmixed_0.1.7-1.ca2004.1_all.deb
Size: 1190284
MD5sum: bb7f0015582504b19b3f98a6903b48b0
SHA1: 41d60bfe1e4eeb2b4b2a9bfa5090a7d9fa509431
SHA256: 181467054a8f5c1b6faec121c4260b043cbd8a66348b034a15708f00f255d4e2
SHA512: ca8efcf0fc5d1ca6b83864e245a7e983ab99917dd21a282e1794c78fa33f98b08a9343427594bbd3d4d242486dfd85ad71f89f1fb34e7e4ce81ef0d2d823d6fe
Homepage: https://cran.r-project.org/package=PLmixed
Description: CRAN Package 'PLmixed' (Estimate (Generalized) Linear Mixed Models with FactorStructures)
 Utilizes the 'lme4' and 'optimx' packages (previously the optim() function
 from 'stats') to estimate (generalized) linear mixed models (GLMM) with
 factor structures using a profile likelihood approach, as outlined in Jeon
 and Rabe-Hesketh (2012) <doi:10.3102/1076998611417628> and Rockwood and Jeon
 (2019) <doi:10.1080/00273171.2018.1516541>.  Factor analysis and item
 response models can be extended to allow for an arbitrary number of nested
 and crossed random effects, making it useful for multilevel and
 cross-classified models.

Package: r-cran-plnr
Architecture: all
Version: 2022.11.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-r6, r-cran-uuid, r-cran-foreach, r-cran-fs, r-cran-glue, r-cran-usethis, r-cran-purrr, r-cran-digest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-progressr, r-cran-ggplot2, r-cran-readxl, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-plnr_2022.11.23-1.ca2004.1_all.deb
Size: 357280
MD5sum: 65b7d69b1f539b901cdddc683c11c858
SHA1: 5a891dda2c1614733f8c9b15e8ecb0a5ce2607ea
SHA256: 7d9ebd4aa14e65f7ff1c427a4f7be722effa759f1d1f808f52a837a0a44efcb3
SHA512: 8ea88044334f9af5bc0ae201dc82bd2d99d564263c8571500ee2a835f61a8e1019b844b80b72c209fe98b843d5640eb383bbb5ff6b851fcfc1702c1610c25079
Homepage: https://cran.r-project.org/package=plnr
Description: CRAN Package 'plnr' (A System for Planing Analyses)
 A system to plan analyses within the mental model where you have one (or
 more) datasets and want to run either A) the same function multiple times
 with different arguments, or B) multiple functions.  This is appropriate
 when you have multiple strata (e.g. locations, age groups) that you want to
 apply the same function to, or you have multiple variables (e.g. exposures)
 that you want to apply the same statistical method to, or when you are
 creating the output for a report and you need multiple different tables or
 graphs.

Package: r-cran-plogr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-plogr_0.2.0-1.ca2004.1_all.deb
Size: 14012
MD5sum: f00146a14ac2d6a67d6d5457e5aabcca
SHA1: 030d450ce53b9369859dae7b3e3e46b5d6f217d4
SHA256: 41f788bc4854b2cc370190869d08aa4991a08871fbbbf3df44ff122acb1c6232
SHA512: 4d2c2ba1c9e5a9e01da6a9c742eaa949521f26d6d6a01eb05125e3139f217b8e264c26f1cfd669305d091f2c2a8ba11ff751481a11541d5a570e6ea66b2824d2
Homepage: https://cran.r-project.org/package=plogr
Description: CRAN Package 'plogr' (The 'plog' C++ Logging Library)
 A simple header-only logging library for C++.  Add 'LinkingTo: plogr' to
 'DESCRIPTION', and '#include <plogr.h>' in your C++ modules to use it.

Package: r-cran-plorn
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-kernlab
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plorn_0.1.1-1.ca2004.1_all.deb
Size: 135524
MD5sum: 15a15f6bf0deec630e3968c8e59db312
SHA1: 7c0277e243e51533508a876d81c06a54c4695a3e
SHA256: 6c8b8ad9d3ef55d25e404d430c3ea789a6a464ffcae48aa7e9bf13e2ecff580c
SHA512: e5438669966a273859b25319cefa1b03b106f163700d803a325072d0d2d3370ef2c3d48a0ea18f7e4da319ac303dbb269002893271b0aad637eee315179336d1
Homepage: https://cran.r-project.org/package=PLORN
Description: CRAN Package 'PLORN' (Prediction with Less Overfitting and Robust to Noise)
 A method for the quantitative prediction with much predictors.  This package
 provides functions to construct the quantitative prediction model with less
 overfitting and robust to noise.

Package: r-cran-plot.matrix
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4428
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-psych, r-cran-png
Filename: pool/dists/focal/main/r-cran-plot.matrix_1.6.2-1.ca2004.1_all.deb
Size: 2282752
MD5sum: 4dfe6166891c2577a7c5acf9201a3a71
SHA1: 9723de555f20835d9b5fb5f0118629803da55ab0
SHA256: 78ba2baeb9a26087b9c271b08e8d100db886113b9b6a406caf37c84474e0d0f4
SHA512: efe20ad13534822e8c277cbd717080ca946384f13c77b6d7c2bbeeacc0a2eee5fbcb2aed7ba5c84bfc438685e3d87a7c668a99b270c6c5c7113b23dfadd8b546
Homepage: https://cran.r-project.org/package=plot.matrix
Description: CRAN Package 'plot.matrix' (Visualizes a Matrix as Heatmap)
 Visualizes a matrix object plainly as heatmap. It provides S3 functions to
 plot simple matrices and loading matrices.

Package: r-cran-plot3d
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2872
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-misc3d
Filename: pool/dists/focal/main/r-cran-plot3d_1.4.1-1.ca2004.1_all.deb
Size: 2765252
MD5sum: 9c0e7a9eaf672649498cc3a3d5702659
SHA1: e48d4aaaa0a589a94143e3aa8d8151c03553e63a
SHA256: bdcffb5956ce57c508f0065c3f464280795753a803bcd21a694b7eda984e1f07
SHA512: 142fce5bd411725a57de07d7035ab7670fb8c20ad6f2f2b1e1327e5f002035ff5e0e4da690e8c211241ebfa18de62f744ba54ed1557199e12b37ef7f7d682177
Homepage: https://cran.r-project.org/package=plot3D
Description: CRAN Package 'plot3D' (Plotting Multi-Dimensional Data)
 Functions for viewing 2-D and 3-D data, including perspective plots, slice
 plots, surface plots, scatter plots, etc. Includes data sets from
 oceanography.

Package: r-cran-plot3drgl
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-plot3drgl_1.0.4-1.ca2004.1_all.deb
Size: 108444
MD5sum: b39851cd27b63a2763e38247b4f531c3
SHA1: 14a97924414a474dcc6ad181ea950376261c0827
SHA256: 14715da1cfa8a69991b4565b379ed955f7e9266877cd241690d267b17962715d
SHA512: 81cfcca00c6e67e41868cfa85eaf406f66c2fba11f48363985d929ff3fcc7e4cfbf5a40f4076ff737cff67376d2b11333d3defd9b9269c4a0897bf6faa8257d6
Homepage: https://cran.r-project.org/package=plot3Drgl
Description: CRAN Package 'plot3Drgl' (Plotting Multi-Dimensional Data - Using 'rgl')
 The 'rgl' implementation of plot3D functions.

Package: r-cran-plot3logit
Architecture: all
Version: 3.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggtern, r-cran-ternary, r-cran-dplyr, r-cran-ellipse, r-cran-forcats, r-cran-generics, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rdpack, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-mass, r-cran-mlogit, r-cran-nnet, r-cran-ordinal, r-cran-rmarkdown, r-cran-vgam, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plot3logit_3.1.4-1.ca2004.1_all.deb
Size: 379092
MD5sum: 7f2a93e2c1139cc4338bfd9b5768f402
SHA1: d279b8d0b0c9f0837a91bafbf7c1b438620f1f5b
SHA256: 76c1c081fae5ac302d85b9650260e6589459a9229511e4911cc4c32f0d54af37
SHA512: 4f495c37f50674085474f544aeef1d22c34af0df2470ea661fda2cab47de93be3f4b6e12229096b581c7ace17b4da3a947e21d9a3faff62c683ff7feaf9a647a
Homepage: https://cran.r-project.org/package=plot3logit
Description: CRAN Package 'plot3logit' (Ternary Plots for Trinomial Regression Models)
 An implementation of the ternary plot for interpreting regression
 coefficients of trinomial regression models, as proposed in Santi, Dickson
 and Espa (2019) <doi:10.1080/00031305.2018.1442368>. Ternary plots can be
 drawn using either 'ggtern' package (based on 'ggplot2') or 'Ternary'
 package (based on standard graphics). The package and its features are
 illustrated in Santi, Dickson, Espa and Giuliani (2022)
 <doi:10.18637/jss.v103.c01>.

Package: r-cran-plot4fun
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-reshape2, r-cran-pcutils, r-cran-ggforce, r-cran-plot3d, r-cran-magick, r-cran-gifski, r-cran-showtext, r-cran-sysfonts
Suggests: r-cran-wordcloud2, r-cran-geomtextpath
Filename: pool/dists/focal/main/r-cran-plot4fun_0.1.1-1.ca2004.1_all.deb
Size: 60208
MD5sum: 688d1f6d8861531010b7a079a3725a76
SHA1: b91d8b472eb1f93ecc448b47100585942678bac8
SHA256: 8a3b6a9959a27928c32f4283953571098260ba787240728b678cb1943cb9116d
SHA512: a204869565b8b45f4a82de5538b527ebbfa953f1b4bb136e911c6b742fc5173fe5dc2bab0a7e30dadb741e09537aed11c3dbdf2b863c4b79a721c96170bd2cce
Homepage: https://cran.r-project.org/package=plot4fun
Description: CRAN Package 'plot4fun' (Just Plot for Fun)
 Explore the world of R graphics with fun and interesting plot functions!
 Use make_LED() to create dynamic LED screens, draw interconnected rings with
 Olympic_rings(), and make festive Chinese couplets with chunlian().  Unleash
 your creativity and turn data into exciting visuals!

Package: r-cran-plotbart
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bartcause, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-rpart, r-cran-ggdendro
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-arm, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plotbart_0.1.7-1.ca2004.1_all.deb
Size: 294216
MD5sum: 100db37aac6ef059ab439a312d45a871
SHA1: acf8d420ed46e5bcc1f5b46c53f64445de035ba5
SHA256: 26d7ec858dc7e55e02971f4787559d8c6bdb7081300ca2e6f25e2a49d8b5d324
SHA512: a9afbcb1d10d0aa0e6c1e42b09fc88ba5e200ee48d087cf3a092dc25fcf049463cea27cfc50daea5b41302550cfe9faeb4b51e829a997b88ae2fa669ccdd4202
Homepage: https://cran.r-project.org/package=plotBart
Description: CRAN Package 'plotBart' (Diagnostic and Plotting Functions to Supplement 'bartCause')
 Functions to assist in diagnostics and plotting during the causal inference
 modeling process.  Supplements the 'bartCause' package.

Package: r-cran-plotbb
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-scales
Suggests: r-cran-ape, r-cran-aplot, r-cran-dplyr, r-cran-ggplotify, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-plotbb_0.0.6-1.ca2004.1_all.deb
Size: 486740
MD5sum: 5b7df9182647bb690f368957ffb9618c
SHA1: 9db4082f41d91eb8e986873934be32e8694a6efe
SHA256: 0be51afcbd49573d68e23676dfdbd2778a707c7ac01d0f3290131649b8513232
SHA512: 0a810d589e30bc5e35f109d88f95c438bcf69f8775706b818ea73e9a7fc7f4ad66255e7bc3b97a222b3ce3eb4d5804c9b84be941f872a616e24ab5ede299fd50
Homepage: https://cran.r-project.org/package=plotbb
Description: CRAN Package 'plotbb' (Grammar of Graphics for 'base' Plot)
 Proof of concept for implementing grammar of graphics using base plot. The
 bbplot() function initializes a 'bbplot' object to store input data,
 aesthetic mapping, a list of layers and theme elements. The object will be
 rendered as a graphic using base plot command if it is printed.

Package: r-cran-plotbivinvgaus
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3770
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plotly
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-plotbivinvgaus_0.1.0-1.ca2004.1_all.deb
Size: 900044
MD5sum: 16040c2d0409771c0fda77220f1eab29
SHA1: ddf5bbe7226d28b9c74e6763895ea16af6b27226
SHA256: 5166f7f0bf32f616a1fb48d70687a930a6476565673f7e9f20ce1fda69c4297a
SHA512: c3a5c6f091cb8e488d195b841bc719d2819b9d0b9f1a35887131a55e708887c6bb94c620f38e35f85f1620b86a625bc5949b97f82d685f1d703c634d6f3c96c9
Homepage: https://cran.r-project.org/package=PlotBivInvGaus
Description: CRAN Package 'PlotBivInvGaus' (Density Contour Plot for Bivariate Inverse Gaussian Distribution)
 Create the density contour plot for bivariate inverse Gaussian distribution
 for given non negative random variables.

Package: r-cran-plotcontour
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-mass
Filename: pool/dists/focal/main/r-cran-plotcontour_0.1.0-1.ca2004.1_all.deb
Size: 10788
MD5sum: 05c0f1f049046f16f55b330241d231be
SHA1: 3c8cabc428a0dcdbedf3fb439d9ee908bc4a1223
SHA256: 031c96b47d2d66ffa5a18238ba568db77171829e492000e8151ad6d18e1695e7
SHA512: 39b2fbe698c60b7e0004a9cf15d272298806741dd5f701f8be91eda4c53aa37807a7d7945f9f7778e8a27ed9d16bc005bf16140c7fc26047eb2c3a15c129a5d4
Homepage: https://cran.r-project.org/package=PlotContour
Description: CRAN Package 'PlotContour' (Plot Contour Line)
 This function plots a contour line with a user-defined probability and
 tightness of fit.

Package: r-cran-plotdap
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3253
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cmocean, r-cran-dplyr, r-cran-gganimate, r-cran-ggnewscale, r-cran-ggplot2, r-cran-lazyeval, r-cran-lubridate, r-cran-magrittr, r-cran-mapdata, r-cran-maps, r-cran-raster, r-cran-rerddap, r-cran-rlang, r-cran-scales, r-cran-sf, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-cairo, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plotdap_1.1.0-1.ca2004.1_all.deb
Size: 2281532
MD5sum: 7a069226b961ea5c784aea15ae386737
SHA1: af6c4416c3780b156976316b68258051469480f8
SHA256: b6c9ccb24d1a012fbf40e67573396999477e0b2fc0e6d004f6707bef89a8e05b
SHA512: 2f5ee1f4fed06802c3df99f02f83f0d11afdeaea162d759ddbe78dbacd92d4a84786fae9a0f239c7108df14dbeb2e9ad84fb4ad72a9a9b5e7286e0250ab8cdfb
Homepage: https://cran.r-project.org/package=plotdap
Description: CRAN Package 'plotdap' (Easily Visualize Data from 'ERDDAP™' Servers via the 'rerddap'Package)
 Easily visualize and animate 'tabledap' and 'griddap' objects obtained via
 the 'rerddap' package in a simple one-line command, using either base
 graphics or 'ggplot2' graphics. 'plotdap' handles extracting and reshaping
 the data, map projections and continental outlines.  Optionally the data can
 be animated through time using the 'gganmiate' package.

Package: r-cran-plotdk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2465
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-mapproj, r-cran-plotly, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plotdk_0.1.0-1.ca2004.1_all.deb
Size: 2194172
MD5sum: 026c78e55e81ccf9ae536f770631a6c6
SHA1: b676baa3c9b1adb2df0210a383463fb7ac1c1020
SHA256: 7310a3cf8efbb4a6cf0211fd6cfa13117f094144f14cc0196b6d7ab8bb6a34f2
SHA512: 5c2b62baa05086c8048ed38362b252220dd1dc7b8652ec9e6516bf3ee40dc99bbaa6e754a1ca38cfdb27dfe8628af18ee3bc48340825587de74abdf44378a3e1
Homepage: https://cran.r-project.org/package=plotDK
Description: CRAN Package 'plotDK' (Plot Summary Statistics as Choropleth Maps of DanishAdministrative Areas)
 Provides a ggplot2 front end to plot summary statistics on danish provinces,
 regions, municipalities, and zipcodes. The needed geoms of each of the four
 levels are inherent in the package, thus making these types of plots easy
 for the user. This is essentially an updated port of the previously
 available 'mapDK' package by Sebastian Barfort.

Package: r-cran-plotftir
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2912
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-rlang, r-cran-scales
Suggests: r-cran-testthat, r-cran-withr, r-cran-ggplot2, r-cran-gghighlight, r-cran-ggthemes, r-cran-knitr, r-cran-rmarkdown, r-cran-ir, r-cran-chemospec, r-cran-r.utils, r-cran-readjdx
Filename: pool/dists/focal/main/r-cran-plotftir_1.2.0-1.ca2004.1_all.deb
Size: 1973976
MD5sum: e471ff37e2ae35f51b826c47fc0d21a5
SHA1: dff91c36f38d9c9abbd47b49e4df374256cc8fed
SHA256: 37c22ddc36a72ecc3374571e50fb3a0f31c8e09999b7acfe40248bada2ce4431
SHA512: d899c4a6335a14a63c8a4281e308f9d9175fbfb78177205f8f5193874ddae5e49b295afd70f423d2a878d20ce4e84bc47e258d913a8004145ed44821e67db27c
Homepage: https://cran.r-project.org/package=PlotFTIR
Description: CRAN Package 'PlotFTIR' (Plot FTIR Spectra)
 The goal of 'PlotFTIR' is to easily and quickly kick-start the production of
 journal-quality Fourier Transform Infra-Red (FTIR) spectral plots in R using
 'ggplot2'. The produced plots can be published directly or further modified
 by 'ggplot2' functions.  L'objectif de 'PlotFTIR' est de démarrer facilement
 et rapidement la production des tracés spectraux de spectroscopie infrarouge
 à transformée de Fourier (IRTF) de qualité journal dans R à l'aide de
 'ggplot2'. Les tracés produits peuvent être publiés directement ou modifiés
 davantage par les fonctions 'ggplot2'.

Package: r-cran-plotfunctions
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-sp
Filename: pool/dists/focal/main/r-cran-plotfunctions_1.4-1.ca2004.1_all.deb
Size: 881020
MD5sum: 2c3198bd9aaf1b3b118c2a4035c0dc01
SHA1: c6ed8fb9d2091c7d1ab6d556a2e20d2eba88a13c
SHA256: 2ea6c96e288dc0af57ac2d1a5f127583ba434a4230df9d92d00559a5a36ccee8
SHA512: 4f14df3575e31c8a5fe547e0e739f17569d8479ffa3fb5a489fef8e176d5c57e211703f342ab15382581ef67debcf777cce0192f0659de47fb9372dad57f15ee
Homepage: https://cran.r-project.org/package=plotfunctions
Description: CRAN Package 'plotfunctions' (Various Functions to Facilitate Visualization of Data andAnalysis)
 When analyzing data, plots are a helpful tool for visualizing data and
 interpreting statistical models. This package provides a set of simple tools
 for building plots incrementally, starting with an empty plot region, and
 adding bars, data points, regression lines, error bars, gradient legends,
 density distributions in the margins, and even pictures. The package builds
 further on R graphics by simply combining functions and settings in order to
 reduce the amount of code to produce for the user. As a result, the package
 does not use formula input or special syntax, but can be used in combination
 with default R plot functions. Note: Most of the functions were part of the
 package 'itsadug', which is now split in two packages: 1. the package
 'itsadug', which contains the core functions for visualizing and evaluating
 nonlinear regression models, and 2. the package 'plotfunctions', which
 contains more general plot functions.

Package: r-cran-plotgmm
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wesanderson, r-cran-amerika, r-cran-ggplot2
Suggests: r-cran-mixtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plotgmm_0.2.2-1.ca2004.1_all.deb
Size: 20756
MD5sum: 79510f5310671e2cec14705d907de492
SHA1: e38bc9c0c2a6b3b0c4afb434f26f83566f44429c
SHA256: 4c981f8f29a2fcf0f3735f3b1d169e05cdbcf7dc405fe413e286b22cd67c72cb
SHA512: 07e0d64aa0def2e24f9f58fb929d68e5d75b843a3063eb1a576914707c828a8b487e67ebb61449d21b7bcf63f594dc86c8654cf512a3b84cdb91887c55dc6bc4
Homepage: https://cran.r-project.org/package=plotGMM
Description: CRAN Package 'plotGMM' (Tools for Visualizing Gaussian Mixture Models)
 The main function, plot_GMM, is used for plotting output from Gaussian
 mixture models (GMMs), including both densities and overlaying mixture
 weight component curves from the fit GMM. The package also include the
 function, plot_cut_point, which plots the cutpoint (mu) from the GMM over a
 histogram of the distribution with several color options. Finally, the
 package includes the function, plot_mix_comps, which is used in the plot_GMM
 function, and can be used to create a custom plot for overlaying mixture
 component curves from GMMs. For the plot_mix_comps function, usage most
 often will be specifying the "fun" argument within "stat_function" in a
 ggplot2 object.

Package: r-cran-plothelper
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-ggfittext, r-cran-magick, r-cran-gridextra, r-cran-scales, r-cran-farver
Filename: pool/dists/focal/main/r-cran-plothelper_0.1.9-1.ca2004.1_all.deb
Size: 301104
MD5sum: 7a12f6411c3f587514ebd7da874942ea
SHA1: baf7be55f1e2068f1dfcde7ed2c502d86245567d
SHA256: bb162880655fc4034feab9a6c526ff67d20cc3b3c83c1eedfc10dbe41fffe641
SHA512: 13efbf8b6b8fbe8a08d7eddd71dbe8de1972576c4104c387b7edb4c7bdb6f00695b423856855e76f12f8ad7c45ddc0c2eb5848df2081dbf72f4b1ec4256f118e
Homepage: https://cran.r-project.org/package=plothelper
Description: CRAN Package 'plothelper' (New Plots Based on 'ggplot2' and Functions to Create RegularShapes)
 An extension to 'ggplot2' and 'magick'. It contains three groups of
 functions: Functions in the first group draw 'ggplot2' - based plots:
 geom_shading_bar() draws barplot with shading colors in each bar.
 geom_rect_cm(), geom_circle_cm() and geom_ellipse_cm() draw rectangles,
 circles and ellipses with centimeter as their unit. Thus their sizes do not
 change when the coordinate system or the aspect ratio changes.
 annotation_transparent_text() draws labels with transparent texts.
 annotation_shading_polygon() draws irregular polygons with shading colors.
 Functions in the second group generate coordinates for regular shapes and
 make linear transformations. Functions in the third group are 'magick' -
 based functions facilitating image processing.

Package: r-cran-plotkml
Architecture: all
Version: 0.8-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3814
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gstat, r-cran-colorramps, r-cran-pixmap, r-cran-xml, r-cran-dismo, r-cran-sp, r-cran-raster, r-cran-rgdal, r-cran-aqp, r-cran-spacetime, r-cran-colorspace, r-cran-plyr, r-cran-stringr, r-cran-scales, r-cran-zoo, r-cran-rcolorbrewer, r-cran-classint, r-cran-sf, r-cran-stars
Suggests: r-cran-rsaga, r-cran-plotrix, r-cran-adehabitatlt, r-cran-maptools, r-cran-fossil, r-cran-rjson, r-cran-animation, r-cran-spatstat, r-cran-spatstat.linnet, r-cran-spatstat.geom, r-cran-rcurl, r-cran-rgbif, r-cran-hmisc, r-cran-uuid, r-cran-r.utils, r-cran-intervals, r-cran-reshape, r-cran-snowfall, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plotkml_0.8-3-1.ca2004.1_all.deb
Size: 3383904
MD5sum: 3ae5e277dab15b39dbcd95add223b6d1
SHA1: b91db7cf8104db2c7b8f1315f1b6ccbdf65110bc
SHA256: f21a71e326177e2b7548668498dd22426f0dce0ddb65ce03842bd2984fad1bf7
SHA512: 0fbe725b880307e5f01e1e11749e30ee25fdd81e1d159ce0c59673b6a1e96be6fc7c11e7e74ddd4e989ab8f2cb1a717c5292189cc854fb361cb93bc00f20def2
Homepage: https://cran.r-project.org/package=plotKML
Description: CRAN Package 'plotKML' (Visualization of Spatial and Spatio-Temporal Objects in GoogleEarth)
 Writes spatial-class, spacetime-class, raster-class and similar spatial and
 spatiotemporal objects to KML following some basic cartographic rules.

Package: r-cran-plotluck
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-quantreg, r-cran-scales, r-cran-plyr, r-cran-hexbin, r-cran-rcolorbrewer, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-ggplot2movies, r-cran-mgcv, r-cran-nlme, r-cran-knitr, r-cran-rmarkdown, r-cran-gapminder
Filename: pool/dists/focal/main/r-cran-plotluck_1.1.1-1.ca2004.1_all.deb
Size: 477880
MD5sum: 6f23b4d12cb1709be2276cffc4295c78
SHA1: dbd86b9534ed008e56887d3b711c4f85f3490a7c
SHA256: c18743e45292e5535b7a232213aa70768ef32c652c3aa62c73b24a02db0d014b
SHA512: 43654f30ba10ff626d232c16301b884ff5636d62bc8729beea24bb34254354de0ef687b458264eeb9f0b8ef8042d1ed4d8d58003a6dd50928ce65106167acf26
Homepage: https://cran.r-project.org/package=plotluck
Description: CRAN Package 'plotluck' ('ggplot2' Version of "I'm Feeling Lucky!")
 Examines the characteristics of a data frame and a formula to automatically
 choose the most suitable type of plot out of the following supported
 options: scatter, violin, box, bar, density, hexagon bin, spine plot, and
 heat map. The aim of the package is to let the user focus on what to plot,
 rather than on the "how" during exploratory data analysis. It also automates
 handling of observation weights, logarithmic axis scaling, reordering of
 factor levels, and overlaying smoothing curves and median lines. Plots are
 drawn using 'ggplot2'.

Package: r-cran-plotly
Architecture: all
Version: 4.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7497
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-digest, r-cran-viridislite, r-cran-base64enc, r-cran-htmltools, r-cran-htmlwidgets, r-cran-tidyr, r-cran-rcolorbrewer, r-cran-dplyr, r-cran-vctrs, r-cran-tibble, r-cran-lazyeval, r-cran-rlang, r-cran-crosstalk, r-cran-purrr, r-cran-data.table, r-cran-promises
Suggests: r-cran-mass, r-cran-maps, r-cran-hexbin, r-cran-ggthemes, r-cran-ggally, r-cran-ggalluvial, r-cran-testthat, r-cran-knitr, r-cran-shiny, r-cran-shinytest2, r-cran-curl, r-cran-rmarkdown, r-cran-cairo, r-cran-broom, r-cran-webshot, r-cran-listviewer, r-cran-dendextend, r-cran-sf, r-cran-png, r-cran-irdisplay, r-cran-processx, r-cran-plotlygeoassets, r-cran-forcats, r-cran-withr, r-cran-palmerpenguins, r-cran-rversions, r-cran-reticulate, r-cran-rsvg, r-cran-ggridges
Filename: pool/dists/focal/main/r-cran-plotly_4.11.0-1.ca2004.1_all.deb
Size: 3430044
MD5sum: ff1f156dd16aef7845f81fcb119a2769
SHA1: 0354aa40961b094fed8250352c33174aa882c8fe
SHA256: 223bd431f8ab929c5dd08bd041317fba6b9191d5c636406fdb950fd541440daf
SHA512: 304649851bf75c006df17069c7fe60bb4fcdb5416f8072bd24a4753561b0b1aa039d1e9bae819584d66e2c77ddda01998601d4481963eb645d78c0a8123f411b
Homepage: https://cran.r-project.org/package=plotly
Description: CRAN Package 'plotly' (Create Interactive Web Graphics via 'plotly.js')
 Create interactive web graphics from 'ggplot2' graphs and/or a custom
 interface to the (MIT-licensed) JavaScript library 'plotly.js' inspired by
 the grammar of graphics.

Package: r-cran-plotlygeoassets
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4050
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-plotlygeoassets_0.0.2-1.ca2004.1_all.deb
Size: 745156
MD5sum: e6832d4de8dba20230bf30647089a3a5
SHA1: 4a23aa3daf1dbedc74a649528293c771eb0c5ea5
SHA256: 7463cff234984029a7cb6f1d189c2948385787a2607e1c152b19d6d4d7a1e2d1
SHA512: a43812b93fa286ee2c7fd84f5402fabb8a859acbbf969bc40f58f556d7be31d3ca332c028dc68e8412449c5066d74c0fa169c86751b379c899a9c60a6cbf1bfb
Homepage: https://cran.r-project.org/package=plotlyGeoAssets
Description: CRAN Package 'plotlyGeoAssets' (Render 'Plotly' Maps without an Internet Connection)
 Includes 'JavaScript' files that allow 'plotly' maps to render without an
 internet connection.

Package: r-cran-plotmcmc
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-gplots, r-cran-lattice
Suggests: r-cran-gdata
Filename: pool/dists/focal/main/r-cran-plotmcmc_2.0.1-1.ca2004.1_all.deb
Size: 1029300
MD5sum: 1879e53494bf299df942a8254ffb718e
SHA1: 62e2441508dcdb842e27411cfdfc49605972c4af
SHA256: c6e9cc2cca43dd406647ebb5f4e252d197962dbc123e38fbd8b87234317aa687
SHA512: bfe2e2c66d5acb5f13a6919a08cab489abce78cdfaf3051b835fd293f5e008cc3e0beb42f14b1f6d90027ff39f10168bba84928536a19eaaa3cd2600f29d0070
Homepage: https://cran.r-project.org/package=plotMCMC
Description: CRAN Package 'plotMCMC' (MCMC Diagnostic Plots)
 Markov chain Monte Carlo diagnostic plots. The purpose of the package is to
 combine existing tools from the 'coda' and 'lattice' packages, and make it
 easy to adjust graphical details.

Package: r-cran-plotmelm
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-interactiontest
Filename: pool/dists/focal/main/r-cran-plotmelm_0.1.5-1.ca2004.1_all.deb
Size: 22680
MD5sum: 6a805e2dc594c06a578aa928c3e4332e
SHA1: 6c22cd3ad1f3d2cd0902a2404c3c589c72ae2182
SHA256: 9247ca2f730588782a725925f9c0545ef97b0a7f2307ce0d1c42210ef73e7e02
SHA512: a5462ad24b7316f51676f849c82ca01a884cb2295dfb03416faa659a96e6e06071bbfbc97bf3c4db30f052c78bc489b1ac5fd45c3b1b62eadae3ae4d68817a6c
Homepage: https://cran.r-project.org/package=plotMElm
Description: CRAN Package 'plotMElm' (Plot Marginal Effects from Linear Models)
 Plot marginal effects for interactions estimated from linear models.

Package: r-cran-plotmm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-wesanderson, r-cran-amerika, r-cran-ggplot2, r-cran-mixtools, r-cran-emcluster, r-cran-flexmix
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-patchwork, r-cran-survival, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plotmm_0.1.2-1.ca2004.1_all.deb
Size: 48592
MD5sum: 03f6e031823d48c01968d0733ecd96fd
SHA1: f498ef44ededf7242c9bd3d21d1804309a6444dc
SHA256: ab4ad22f72aa3296ea44d59e591c31ecc26cf9944c12439fe5b39bb344068d76
SHA512: 80348d82ef8534047155b82061996e2be0c76287ef00f76ef0827f5b1dc0e42262305eb47b893b21890ed73b225147c915b4bf37a1134e8c4929154562733fdf
Homepage: https://cran.r-project.org/package=plotmm
Description: CRAN Package 'plotmm' (Tidy Tools for Visualizing Mixture Models)
 The main function, plot_mm(), is used for (gg)plotting output from mixture
 models, including both densities and overlaying mixture weight component
 curves from the fit models in line with the tidy principles. The package
 includes several additional functions for added plot customization.
 Supported model objects include: 'mixtools', 'EMCluster', and 'flexmix',
 with more from each in active dev.  Supported mixture model specifications
 include mixtures of univariate Gaussians, multivariate Gaussians, Gammas,
 logistic regressions, linear regressions, and Poisson regressions.

Package: r-cran-plotmo
Architecture: all
Version: 3.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1868
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-plotrix
Suggests: r-cran-c50, r-cran-earth, r-cran-gbm, r-cran-glmnet, r-cran-glmnetutils, r-cran-mass, r-cran-mlr, r-cran-neuralnet, r-cran-partykit, r-cran-pre, r-cran-rpart, r-cran-rpart.plot
Filename: pool/dists/focal/main/r-cran-plotmo_3.6.4-1.ca2004.1_all.deb
Size: 1476212
MD5sum: 02d4d8ee5eeac48801785016f7be8813
SHA1: 3818dad73d82c9775948b9cf382181378f4d0958
SHA256: c6cd2e2c3cf8768b1787de2fd2d76beea1ef8619747623543ce56d9c13779f17
SHA512: 63242227fb12b3304606b5f7564750a8793e6fdc590d2940091e3c54297542063a098047cdfc08acdcf9070941251c9fcbc13ab936e8cf94362183d920b0247f
Homepage: https://cran.r-project.org/package=plotmo
Description: CRAN Package 'plotmo' (Plot a Model's Residuals, Response, and Partial Dependence Plots)
 Plot model surfaces for a wide variety of models using partial dependence
 plots and other techniques.  Also plot model residuals and other information
 on the model.

Package: r-cran-plotnormtest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1175
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-ggplot2, r-cran-matrix, r-cran-matrixextra, r-cran-mass, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plotnormtest_1.0.1-1.ca2004.1_all.deb
Size: 830752
MD5sum: 2e31ae99c496857a26aaddc68cdc985d
SHA1: 49f713c642bf82cc59b077ba55d7b7524c1412a1
SHA256: 61861ecff453ce33e163a4a35892699f3e453e3216289f3a0dbabaca2bf6ca8b
SHA512: 743a549a7b202973d3166a1108edc657b21c5c6cd880a97082174b21489fe5bde8bb470ed3d66aa2dc245c772c0f094e542b612dde1d0cf1e92d569ab0f368f5
Homepage: https://cran.r-project.org/package=PlotNormTest
Description: CRAN Package 'PlotNormTest' (Graphical Univariate/Multivariate Assessments for NormalityAssumption)
 Graphical methods testing multivariate normality assumption. Methods
 including assessing score function, and moment generating
 functions,independent transformations and linear transformations. For more
 details see Tran (2024),"Contributions to Multivariate Data Science:
 Assessment and Identification of Multivariate Distributions and Supervised
 Learning for Groups of Objects." , PhD thesis,
 <https://our.oakland.edu/items/c8942577-2562-4d2f-8677-cb8ec0bf6234>.

Package: r-cran-plotor
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1270
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-car, r-cran-cli, r-cran-detectseparation, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-gt, r-cran-gtextras, r-cran-janitor, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-labelled, r-cran-rmarkdown, r-cran-svglite, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-plotor_0.6.0-1.ca2004.1_all.deb
Size: 772692
MD5sum: 2b527aa4ecbcd13eeea6749ea9e49a59
SHA1: ed25e5191bd22576f921ef9558f31994c129bc1e
SHA256: 638b7756fe754ff0c7ebe6999578bdf594a83795b46be1d8ee1bef4b27be7130
SHA512: 19e03abeaad35e63e5b3b99b4ffa5ffec0689542cba4d806c17ac816133c06b73f058df9bea2f74c10d64119139bdd4535597828946fa3f95fa020beebf13a9c
Homepage: https://cran.r-project.org/package=plotor
Description: CRAN Package 'plotor' (Produces an Odds Ratio Plot from a Logistic Regression Model)
 Produces an Odds Ratio (OR) Plot to visualise the result of a logistic
 regression analysis.  Provide it with a binomial regression model produced
 by 'glm()' and it will convert the estimates to odds ratios with a 95%
 confidence interval and plot the results using 'ggplot2'.

Package: r-cran-plotpc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plotpc_1.0.4-1.ca2004.1_all.deb
Size: 49276
MD5sum: dcea37fdc39e03817eda5e5938288366
SHA1: cbe75a0f39882c565e7632da2e8c7ffc8f501452
SHA256: 70340d1c74b9a40b4aa9b8c403031a922d0a1273c7bea77fc44b1bca9f3a171c
SHA512: b6d59d5a46afe93c18f1731635a47b66368bdd8ec69687a64faa6db9465c35423d36e124eb291f38d6fb0abf5a013ddbecb5f0b291f5eca105422aa011ce8377
Homepage: https://cran.r-project.org/package=plotpc
Description: CRAN Package 'plotpc' (Plot Principal Component Histograms Around a Scatter Plot)
 Plot principal component histograms around a bivariate scatter plot.

Package: r-cran-plotprjnetworks
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-plotprjnetworks_1.0.0-1.ca2004.1_all.deb
Size: 29516
MD5sum: fab8a1ef7da6f1ffd1e8e84affb49ec5
SHA1: 408f01e5fb83450653a008ea0c71b9ce2dce266e
SHA256: 59f3b0ce85c82d6543ec2fab4736254afe6fceabe00afa89b704aa17ea1eb702
SHA512: 6692fbf437e64614acb79d9c8e89934c71ad72ad663dd37604026d04ab98cca8f80780a0930eb5699a7fe22e748aa38e5e57da0693e1d562ca863cf49b4a855e
Homepage: https://cran.r-project.org/package=PlotPrjNetworks
Description: CRAN Package 'PlotPrjNetworks' (Useful Networking Tools for Project Management)
 Useful set of tools for plotting network diagrams in any kind of project.

Package: r-cran-plotprotein
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-plyr, r-cran-plotrix, r-cran-seqinr, r-cran-ade4
Filename: pool/dists/focal/main/r-cran-plotprotein_1.0-1.ca2004.1_all.deb
Size: 80376
MD5sum: 73260efb2711fd2b99b7b13a37a1fa61
SHA1: de19ce356ec4d35bb6331f8da30136870271fe64
SHA256: df20affe2ba2deb3406a806ae9c1b54c336113f09ab33c44fac921192f725f31
SHA512: 1c118e487336289e625128554eeace54aaa4a276f5c8c9a000e477085d8d411c223adad48ab615de4c16c151ebd591e6a7e72dac71b004434e4fcf78801eb730
Homepage: https://cran.r-project.org/package=plotprotein
Description: CRAN Package 'plotprotein' (Development of Visualization Tools for Protein Sequence)
 The image of the amino acid transform on the protein level is drawn, and the
 automatic routing of the functional elements such as the domain and the
 mutation site is completed.

Package: r-cran-plotrcs
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-rms
Filename: pool/dists/focal/main/r-cran-plotrcs_0.1.4-1.ca2004.1_all.deb
Size: 51904
MD5sum: 47e4f3193b8d3ca8da65dfe82bdbf2c6
SHA1: 3f28569bf45ceb069e03e432f44eaa379feb5354
SHA256: 4b4a509906056256fd732250203913667f41a0755510ce3b87576b6812cbf59e
SHA512: 0fafa8a2a0de58c89a24365464780f71efd9975ad6d6f5da0053f17b4db1f0946da2b9db446ca98959e3c9a326c1e2d116b98ed2be0b44c99c69e67f9aa34ff8
Homepage: https://cran.r-project.org/package=plotRCS
Description: CRAN Package 'plotRCS' (Plot Restricted Cubic Splines Curves)
 Simple drawing of restricted cubic spline (RCS) curves through 'ggplot2'
 package from a linear regression model, a logistic regression model or a Cox
 proportional hazards regression model. This method was described by Harrell
 FE (2015) <doi:10.1007/978-3-319-19425-7>.

Package: r-cran-plotregionhighlighter
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plotregionhighlighter_1.0-1.ca2004.1_all.deb
Size: 41084
MD5sum: d94c8bd3d47c462cd5fd2e93a9713158
SHA1: dd30d1d7cb7c3efd19663bb62e47fed3076a20a9
SHA256: 5dab9f7e50b95e197f7d94be677bd7152ae0d974be3befad67fd5ca25fff8d81
SHA512: 0588a054a6240277078005e4f31ea179ffe5f15c90ee6b1920efd9731ea1bf04814c8f90b7c9676ce19029c4ecd94afab7bf9cf4bf752d3d3095ba6e0d276ed1
Homepage: https://cran.r-project.org/package=PlotRegionHighlighter
Description: CRAN Package 'PlotRegionHighlighter' (Creates an envelope that surrounds a set of points plotted in atwo dimensional space)
 Creates an envelope around a set of plotted points. The envelope is compact
 with a boundary that is continuous, smooth and convex. Each point is
 represented as a circle and the circles and connecting lines are the
 solution to the multiple pulley problem. This method can be used to
 highlight regions in a two-dimensional space.

Package: r-cran-plotrix
Architecture: all
Version: 3.8-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1217
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plotrix_3.8-4-1.ca2004.1_all.deb
Size: 1124160
MD5sum: 7acaa24c123c9d17359d973a322e7150
SHA1: 5cf816ae75bb186d892ee0f851d23d9c6fe6de88
SHA256: 575cbf559a16f18f39a283a0e7c8173f1b8d02c7c1a9499db17730a57aaca77d
SHA512: bdd1c2882c90f3642bb81a0149524513c6575d25b859a22727cf7c78ae262d8cee8b3256d217967657ec9ff08f4b63a7113b5ae3a7a1a2f35c09f112f43e83b8
Homepage: https://cran.r-project.org/package=plotrix
Description: CRAN Package 'plotrix' (Various Plotting Functions)
 Lots of plots, various labeling, axis and color scaling functions. The
 author/maintainer died in September 2023.

Package: r-cran-plotroc
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3385
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-gridsvg, r-cran-shiny, r-cran-plyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-testthat, r-cran-stringr, r-cran-survivalroc, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plotroc_2.3.1-1.ca2004.1_all.deb
Size: 898200
MD5sum: fd59cd1977bf69d3cd5e79d27d6aef70
SHA1: e72a203d61c07e703d9f60103f4e121b9bc1a246
SHA256: a3ae527b5615182892ab80bb4726fcda4e0d7ba1bde9b0aca160f9a452e65729
SHA512: 29acf875ff84f489c0c29b2eeb402995b819bbe48a0635f9d1162c685683470359d347180dd44d1a4a6f84b737fb87d35f94b2dde49aff8103c5ba9ff9f58850
Homepage: https://cran.r-project.org/package=plotROC
Description: CRAN Package 'plotROC' (Generate Useful ROC Curve Charts for Print and Interactive Use)
 Most ROC curve plots obscure the cutoff values and inhibit interpretation
 and comparison of multiple curves. This attempts to address those
 shortcomings by providing plotting and interactive tools. Functions are
 provided to generate an interactive ROC curve plot for web use, and print
 versions. A Shiny application implementing the functions is also included.

Package: r-cran-plotrr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plotrr_1.0.0-1.ca2004.1_all.deb
Size: 332912
MD5sum: 5def953621328803a8b23f68806ca4b2
SHA1: 13a29f9fc8c43370cd0bbc2bec8fb727270d31b4
SHA256: 0eec1faf642df92cc4338dce307fc42de1b94039b2c0430d1431d357bda60fc5
SHA512: a82c9091d8466749d8558a8536690f727aade7c2bcff1df9ba170811acf6959ff05657908bdd40c304f717f10e170246a13375ba6c92761263e0a848c56b870a
Homepage: https://cran.r-project.org/package=plotrr
Description: CRAN Package 'plotrr' (Making Visual Exploratory Data Analysis with Nested Data Easier)
 Functions for making visual exploratory data analysis with nested data
 easier.

Package: r-cran-plotscale
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-plotscale_0.1.6-1.ca2004.1_all.deb
Size: 102428
MD5sum: a54110df546199aea1f9e143ee591598
SHA1: b04702699b978f62daa3939c226d776453ea77f6
SHA256: fcd289808dc0a2f279f8d56dbb81303ba5e5c169901944310c997378bb6bee78
SHA512: bef6493ced4df972ef2e007303727dc3c99580a0b73cef26a0e5046c819d7e28e5effb4fc7becf554fa047c2585a043e730e78a6633d9e6338c2669d153a0829
Homepage: https://cran.r-project.org/package=plotscale
Description: CRAN Package 'plotscale' (Scale Graphics Devices Using Plot Dimensions)
 Figures rendered on graphics devices are usually rescaled to fit
 pre-determined device dimensions. 'plotscale' implements the reverse:
 desired plot dimensions are specified and device dimensions are calculated
 to accommodate marginal material, giving consistent proportions for plot
 elements.  Default methods support grid graphics such as lattice and ggplot.
 See "example('devsize')" and "vignette('plotscale')".

Package: r-cran-plotscaper
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4303
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-httpuv, r-cran-jsonlite, r-cran-knitr, r-cran-uuid
Suggests: r-cran-rmarkdown, r-cran-ggplot2, r-cran-patchwork, r-cran-palmerpenguins, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-plotscaper_0.2.8-1.ca2004.1_all.deb
Size: 699904
MD5sum: afaecf007036b0ccd5810f05acc6927a
SHA1: e2e9355abde3a2d5f4b9ca00bd49393161c73b0d
SHA256: 366d10e28906f82146612afc429e20964b74a905f9b84d594f7ecbd1f11102b9
SHA512: b7d136370e98236fbc4c57d75c58661b5466cb90b1e0d460674cc628197dee668539d53b776ed9a2e99c6139fbd24501ecd02814b9f105c423e93d68ca71816f
Homepage: https://cran.r-project.org/package=plotscaper
Description: CRAN Package 'plotscaper' (Explore Your Data with Interactive Figures)
 A framework for creating interactive figures for data exploration.  All
 plots are automatically linked and support several kinds of interactive
 features, including selection, zooming, panning, and parameter manipulation.
 The figures can be interacted with either manually, using a mouse and a
 keyboard, or by running code from inside an active R session.

Package: r-cran-plotthis
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3268
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-circlize, r-cran-ggplot2, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-glue, r-cran-forcats, r-cran-gtable, r-cran-reshape2, r-cran-stringr, r-cran-scales, r-cran-gridtext, r-cran-patchwork, r-cran-ggrepel, r-cran-ggnewscale, r-cran-cowplot, r-cran-zoo
Suggests: r-cran-testthat, r-cran-alluvial, r-bioc-complexheatmap, r-cran-cluster, r-cran-clustree, r-cran-gglogger, r-cran-ggwordcloud, r-cran-ggalluvial, r-cran-ggvenndiagram, r-cran-ggupset, r-cran-ggpubr, r-cran-ggforce, r-cran-ggraph, r-cran-ggridges, r-bioc-ggmanh, r-cran-qqplotr, r-cran-hexbin, r-cran-igraph, r-cran-inext, r-cran-scattermore, r-cran-sf, r-cran-terra, r-cran-concaveman, r-cran-plotroc, r-cran-optimalcutpoints
Filename: pool/dists/focal/main/r-cran-plotthis_0.7.1-1.ca2004.1_all.deb
Size: 3179232
MD5sum: 8e21eba6178e31a2d8a1fba42193fd1a
SHA1: 82ad5215e5f55816d15fe9689a7154c86f065270
SHA256: cacdb890046ea656c2f38ff9d0229a32948b6417ebde3a866c71d5fccdd3f743
SHA512: a0f257df08cd473cc417e2657f194c6ecebe56bd7de10460bb1dbbdc56f2c2e56f51e38db8c10fe5cf06feb61486471ef32fb36a95e96583752cc437c90eb031
Homepage: https://cran.r-project.org/package=plotthis
Description: CRAN Package 'plotthis' (High-Level Plotting Built Upon 'ggplot2' and Other PlottingPackages)
 Provides high-level API and a wide range of options to create stunning,
 publication-quality plots effortlessly.  It is built upon 'ggplot2' and
 other plotting packages, and is designed to be easy to use and to work
 seamlessly with 'ggplot2' objects.  It is particularly useful for creating
 complex plots with multiple layers, facets, and annotations.  It also
 provides a set of functions to create plots for specific types of data, such
 as Venn diagrams, alluvial diagrams, and phylogenetic trees.  The package is
 designed to be flexible and customizable, and to work well with the
 'ggplot2' ecosystem.  The API can be found at
 <https://pwwang.github.io/plotthis/reference/index.html>.

Package: r-cran-plottools
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sp, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-plottools_0.3.1-1.ca2004.1_all.deb
Size: 34392
MD5sum: f6684f4437b83aaa93b03de971def59c
SHA1: 1a5401b92e4a3d0f70cf0a9dd0c3f10e516dcee3
SHA256: e78fc62f3108f02a965f45f5c36d8314ff041c1c91cae60f211ffcf7b5f2f760
SHA512: 7e6a2a9b14ac7a18122998985c27f389691608166f6508c4baf19c27e916700b0878ea4d0e5086ca7575e3facf505360829cb69f7c4b86577bb8dd4f0b4d5c93
Homepage: https://cran.r-project.org/package=PlotTools
Description: CRAN Package 'PlotTools' (Add Continuous Legends to Plots)
 Annotate plots with legends for continuous variables and colour spectra
 using the base graphics plotting tools; and manipulate irregular polygons.

Package: r-cran-plotwidgets
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-plotwidgets_0.5.1-1.ca2004.1_all.deb
Size: 336064
MD5sum: 648ac64649c7dbfda43cdfce176e6c3d
SHA1: bdc05e38cadbc72e68d143f07029c9d3325be605
SHA256: 0426dccf5b0d04d6369a3508e2a929fdd9f1646c8b17aeb0e1cc80512588bf71
SHA512: f1acccb401100dca13f63331833bb5660c3d795f2dc654cd2eecf589c3f1b1f6e78c80228da4ed2800cd1a622ada4987e000fe6ab6e9a4db263d3ca7165ddd53
Homepage: https://cran.r-project.org/package=plotwidgets
Description: CRAN Package 'plotwidgets' (Spider Plots, ROC Curves, Pie Charts and More for Use in OtherPlots)
 Small self-contained plots for use in larger plots or to delegate plotting
 in other functions. Also contains a number of alternative color palettes and
 HSL color space based tools to modify colors or palettes.

Package: r-cran-plrasch
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-plrasch_1.0-1.ca2004.1_all.deb
Size: 45628
MD5sum: 2f581aeddd67ca021fabd82443e96f58
SHA1: 89fccaf8fb8067cbad83bc5bf4069b237eea4b67
SHA256: a8574c5a3d4b66ec983db6f11f8dc7c058585f7f736303a18f417d7982edb060
SHA512: a6c35e41d968330f6f04c2a82325f2a4e3e5bd40749257c8a02640b56dd51b3ab47fe164fb53880347b22eef32b1e23fefb3a8b5fb7ea237f6ac7de988303430
Homepage: https://cran.r-project.org/package=plRasch
Description: CRAN Package 'plRasch' (Log Linear by Linear Association models and Rasch family modelsby pseudolikelihood estimation)
 Fit Log Linear by Linear Association models and Rasch family models by
 pseudolikelihood estimation

Package: r-cran-plreg
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bbmisc, r-cran-envstats, r-cran-formula, r-cran-gamlss.dist, r-cran-generalizedhyperbolic, r-cran-nleqslv, r-cran-vgam, r-cran-zipfr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plreg_0.4.1-1.ca2004.1_all.deb
Size: 189356
MD5sum: bf817c60f2fe36bd8f5051f375d20a41
SHA1: 7a51e093f3f45f5e4dffb886704cba8692d13886
SHA256: 87dd4c307339c2b419409ed73dfe1c65e5ef54ee227e5bd38843efe9f64ede2a
SHA512: ed392f8e011d30518785a35efa05d737be54cedc9ca79803ad397f97a1aa2bfc7a3cb7c8882aa0e5219d1271d29b0f84ff1fca6f36af335f2b3beba6cf7a5d9d
Homepage: https://cran.r-project.org/package=PLreg
Description: CRAN Package 'PLreg' (Power Logit Regression for Modeling Bounded Data)
 Power logit regression models for bounded continuous data, in which the
 density generator may be normal, Student-t, power exponential, slash,
 hyperbolic, sinh-normal, or type II logistic.  Diagnostic tools associated
 with the fitted model, such as the residuals, local influence measures,
 leverage measures, and goodness-of-fit statistics, are implemented. The
 estimation process follows the maximum likelihood approach and, currently,
 the package supports two types of estimators: the usual maximum likelihood
 estimator and the penalized maximum likelihood estimator. More details about
 power logit regression models are described in Queiroz and Ferrari (2022)
 <arXiv:2202.01697>.

Package: r-cran-plrmodels
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plrmodels_1.4-1.ca2004.1_all.deb
Size: 292284
MD5sum: 4e9cf4b22d410cb97e6214e6732cec50
SHA1: fce5f3dbf0a70d3bf544f852986a6c92f5a11103
SHA256: 6e63b6a85e0a817799e7af9b9e2639f6bdc21cb7235a583e0cc549679eb7caa2
SHA512: 58ae855a0927e44dcf843134dbfb7d783e40093ac1749dd89137711822e7cbad5eca75caeeb6c2833a019a7b8ce482f828c7f6822d94c8520bfb2915b669be52
Homepage: https://cran.r-project.org/package=PLRModels
Description: CRAN Package 'PLRModels' (Statistical Inference in Partial Linear Regression Models)
 Contains statistical inference tools applied to Partial Linear Regression
 (PLR) models. Specifically, point estimation, confidence intervals
 estimation, bandwidth selection, goodness-of-fit tests and analysis of
 covariance are considered. Kernel-based methods, combined with ordinary
 least squares estimation, are used and time series errors are allowed. In
 addition, these techniques are also implemented for both parametric (linear)
 and nonparametric regression models.

Package: r-cran-pls
Architecture: all
Version: 2.8-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1275
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass, r-cran-rmpi, r-cran-testthat, r-cran-runit
Filename: pool/dists/focal/main/r-cran-pls_2.8-5-1.ca2004.1_all.deb
Size: 1169296
MD5sum: 579252a3d0341d55c689668fdbf71e61
SHA1: 1a797bece12ffebd49f105bf27d41f462b1a26b3
SHA256: d6f52a4d639cbb09be463ba9db1ca434962e1f7cadc3bf9e15ef01f0a2d70fce
SHA512: 8eb27c9a1f7d47a2e86ea8b71a8ee5706e16978b126949aa16f3df5115c5d5c7f87649f2bc0d772590ed9ccaf1176315202f69ff0c59ce4433ec2fd5e800f92c
Homepage: https://cran.r-project.org/package=pls
Description: CRAN Package 'pls' (Partial Least Squares and Principal Component Regression)
 Multivariate regression methods Partial Least Squares Regression (PLSR),
 Principal Component Regression (PCR) and Canonical Powered Partial Least
 Squares (CPPLS).

Package: r-cran-plsdepot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-factominer
Filename: pool/dists/focal/main/r-cran-plsdepot_0.2.0-1.ca2004.1_all.deb
Size: 195000
MD5sum: 339852a0b429ab355557f7af99b0ea81
SHA1: 811a38911e7f61b8864f876ae6da0e7f605dc814
SHA256: d224abb770d08e7bf166e44299a6907a50a8e1f8978694d2236ce1c2e3462ee7
SHA512: fc030e660f0119ea1c89a7fdb931074def5b36e8d2af5538e53e28a1a768670be3666acd632f44b5e8d843b18fb28180bdb425f13cb59b035fa0353a3c340229
Homepage: https://cran.r-project.org/package=plsdepot
Description: CRAN Package 'plsdepot' (Partial Least Squares (PLS) Data Analysis Methods)
 Different methods for PLS analysis of one or two data tables such as
 Tucker's Inter-Battery, NIPALS, SIMPLS, SIMPLS-CA, PLS Regression, and PLS
 Canonical Analysis.  The main reference for this software is the awesome
 book (in French) 'La Regression PLS: Theorie et Pratique' by Michel
 Tenenhaus.

Package: r-cran-plsdof
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-plsdof_0.3-2-1.ca2004.1_all.deb
Size: 204096
MD5sum: 95a9b266699b0bccab4f6f8b31626c30
SHA1: 8019ccee4c16ea04c5867d077b34686e3d674305
SHA256: 20b5c940b6acc98e1b4aa1b80e4ad44fa3708472aaa417479347b03af9dc1fdf
SHA512: 04a5e296e80fb6881fb1b69ac3a559d7fa19a7f4aef549e1c3223ffef9362973a69c8f43fa5d8cdff9b0d96004ec6fb95a4f205e7abc03b249c7a669e4eba854
Homepage: https://cran.r-project.org/package=plsdof
Description: CRAN Package 'plsdof' (Degrees of Freedom and Statistical Inference for Partial LeastSquares Regression)
 The plsdof package provides Degrees of Freedom estimates for Partial Least
 Squares (PLS) Regression. Model selection for PLS is based on various
 information criteria (aic, bic, gmdl) or on cross-validation. Estimates for
 the mean and covariance of the PLS regression coefficients are available.
 They allow the construction of approximate confidence intervals and the
 application of test procedures (Kramer and Sugiyama 2012
 <doi:10.1198/jasa.2011.tm10107>).  Further, cross-validation procedures for
 Ridge Regression and Principal Components Regression are available.

Package: r-cran-plsgenomics
Architecture: all
Version: 1.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1680
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-boot, r-cran-reshape2, r-cran-plyr, r-cran-fields, r-cran-rhpcblasctl
Filename: pool/dists/focal/main/r-cran-plsgenomics_1.5-3-1.ca2004.1_all.deb
Size: 1655212
MD5sum: c229ae13b9aa9592a2c11df2602e56ce
SHA1: fd059a755197d934949eb05254b86048ec1d4f1b
SHA256: 16efd06853bac2fe318198a4f47f4ff722c25df5d3652cc2f3a892dbcf4c2e92
SHA512: b6acd78e32b947341568b32670ac12a8b2b83e1f5840e2733d1607044a7c6d70bd7014960ec19a9f5cacd6936bfd2b4e0951a873fbc1f9a42584a4483c1731b7
Homepage: https://cran.r-project.org/package=plsgenomics
Description: CRAN Package 'plsgenomics' (PLS Analyses for Genomics)
 Routines for PLS-based genomic analyses, implementing PLS methods for
 classification with microarray data and prediction of transcription factor
 activities from combined ChIP-chip analysis. The >=1.2-1 versions include
 two new classification methods for microarray data: GSIM and Ridge PLS. The
 >=1.3 versions includes a new classification method combining variable
 selection and compression in logistic regression context: logit-SPLS; and an
 adaptive version of the sparse PLS.

Package: r-cran-plsmmlasso
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 760
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glmnet, r-cran-hdi, r-cran-mass, r-cran-mvtnorm, r-cran-rlang, r-cran-scalreg
Filename: pool/dists/focal/main/r-cran-plsmmlasso_1.1.0-1.ca2004.1_all.deb
Size: 695300
MD5sum: cf8abaa8a66c9ac1223e6c00240d0323
SHA1: b5447cdeae9384d8364abb4b17c7e95e4ca70d05
SHA256: 0fd615d96b5fab6bdfad3fddbc5ff20b58992856769443f98cc20434ca2bec61
SHA512: 492a75c20f25c832ef5a60ebb46408ca9f22fb8c49372666a18d8a1f2ccbdc386e664a4981f310a5b0f00f545dfc3e3fd8563fb48d38368e343a8ff85b1d0207
Homepage: https://cran.r-project.org/package=plsmmLasso
Description: CRAN Package 'plsmmLasso' (Variable Selection and Inference for Partial SemiparametricLinear Mixed-Effects Model)
 Implements a partial linear semiparametric mixed-effects model (PLSMM)
 featuring a random intercept and applies a lasso penalty to both the fixed
 effects and the coefficients associated with the nonlinear function.  The
 model also accommodates interactions between the nonlinear function and a
 grouping variable, allowing for the capture of group-specific
 nonlinearities. Nonlinear functions are modeled using a set of bases
 functions. Estimation is conducted using a penalized
 Expectation-Maximization algorithm, and the package offers flexibility in
 choosing between various information criteria for model selection.
 Post-selection inference is carried out using a debiasing method, while
 inference on the nonlinear functions employs a bootstrap approach.

Package: r-cran-plsmod
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-parsnip, r-cran-dplyr, r-cran-generics, r-cran-magrittr, r-bioc-mixomics, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-covr, r-cran-modeldata, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-plsmod_1.0.0-1.ca2004.1_all.deb
Size: 39016
MD5sum: e97cf157c0208f321e6c2031827ab9a1
SHA1: d66a96948bc13af5c2d7283d5a93243236939dde
SHA256: de652f1271ece67a4242235505e780abd7de5c3485ef368c8d6267c0498748af
SHA512: d1c8835e702eb10c3607e70efb868463c16390d3a0c94c6c3b766b9ec776eb190169c67812850e3b6ab62f84ff193f32f37ce5bb96da6a17e99b32bf8145cdf5
Homepage: https://cran.r-project.org/package=plsmod
Description: CRAN Package 'plsmod' (Model Wrappers for Projection Methods)
 Bindings for additional regression models for use with the 'parsnip'
 package, including ordinary and spare partial least squares models for
 regression and classification (Rohart et al (2017)
 <doi:10.1371/journal.pcbi.1005752>).

Package: r-cran-plsmselect
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glmnet, r-cran-mgcv, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-plsmselect_0.2.0-1.ca2004.1_all.deb
Size: 146188
MD5sum: 51373cf721ddbb9813db4c7b422ec40f
SHA1: 2c948a1e0be942f4e91a67837da709dd462e3db9
SHA256: 52dd9c1d2e093ae7c5b9e49f9b295fbcbf1eb74037c23243202b8a7db21d7552
SHA512: ea8c9efff68f74d622012dfba3f3efc4d5eb46b81b1c1b177c93513995fac7b9d0b1eb6a68c6c315f795b0ac83d907c8375afc0139d4e634a5ce90d09749e9c1
Homepage: https://cran.r-project.org/package=plsmselect
Description: CRAN Package 'plsmselect' (Linear and Smooth Predictor Modelling with Penalisation andVariable Selection)
 Fit a model with potentially many linear and smooth predictors. Interaction
 effects can also be quantified. Variable selection is done using
 penalisation. For l1-type penalties we use iterative steps alternating
 between using linear predictors (lasso) and smooth predictors (generalised
 additive model).

Package: r-cran-plspm
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tester, r-cran-turner, r-cran-diagram, r-cran-shape, r-cran-amap
Suggests: r-cran-factominer, r-cran-ggplot2, r-cran-reshape, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-plspm_0.5.1-1.ca2004.1_all.deb
Size: 667152
MD5sum: 9e4fe63eb76f249d8a2cda0e47d88679
SHA1: eb417fcef24740bf24b35010ba917cb038bab911
SHA256: 9cfe4daa3c19a0f7e63e57d0149af62015099833668eb5fac0ea50bd2e34b76c
SHA512: 7c48fcb80b0b907bc294fd75f80e4c379eee7ed5e07705f24b8501d0df23c85ff9df46908f631d078fae3f5fe8148d47fbe7f706acf11ac974465ac656c6c9d3
Homepage: https://cran.r-project.org/package=plspm
Description: CRAN Package 'plspm' (Partial Least Squares Path Modeling (PLS-PM))
 Partial Least Squares Path Modeling (PLS-PM), Tenenhaus, Esposito Vinzi,
 Chatelin, Lauro (2005) <doi:10.1016/j.csda.2004.03.005>, analysis for both
 metric and non-metric data, as well as REBUS analysis, Esposito Vinzi,
 Trinchera, Squillacciotti, and Tenenhaus (2008) <doi:10.1002/asmb.728>.

Package: r-cran-plsr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 954
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-reshape2, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plsr_0.0.1-1.ca2004.1_all.deb
Size: 917332
MD5sum: b6c86b470b1f27077dfad6a806d9a146
SHA1: ce21116f74adaba8bb0b4d082fbbba32e1c2d229
SHA256: 8e99f35ef04fbfcc2bd50703ba312ac8029daa124bab8e0fa471a0fd75311e8f
SHA512: 401aaa9c28cdb80f1a4bbccabbf78f256254c6f486e4acb9c2b5ed1faade45c965150ffaf9ef44d502284c0e8cdd3c6e0c2f0556d7a00548d0574230529b3265
Homepage: https://cran.r-project.org/package=plsr
Description: CRAN Package 'plsr' (Pleasure - Partial Least Squares Analysis with PermutationTesting)
 Provides partial least squares analysis for the analysis of the relation
 between two high-dimensional data sets. Includes permutation testing and
 bootstrapping for resulting latent variables (following McIntosh & Lobaugh
 (2004) <doi:10.1016/j.neuroimage.2004.07.020>) and several visualization
 functions.

Package: r-cran-plsrbeta
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4478
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-boot, r-cran-formula, r-cran-mass, r-cran-plsrglm, r-cran-betareg
Suggests: r-cran-bipartite, r-cran-knitr, r-cran-markdown, r-cran-plotrix, r-cran-pls, r-cran-plsdof, r-cran-prettydoc, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-plsrbeta_0.3.0-1.ca2004.1_all.deb
Size: 3981616
MD5sum: d13828b9faee76683ed079f148b9346f
SHA1: 51115a276104e3372a5fc2b98e58620996644fbd
SHA256: 0a50fbeb8f782f0cf904959272f4fe6ce6fc1174f4d83b87f6b39b42439a289a
SHA512: 31fa62f79ff6a054c4f1b482f3c988b8a690eebecc10bacf6281376fef9bafc43112cdfd9bb238355ba41da2f8ded6497764be3bf8985792e85b4dab837a38cf
Homepage: https://cran.r-project.org/package=plsRbeta
Description: CRAN Package 'plsRbeta' (Partial Least Squares Regression for Beta Regression Models)
 Provides Partial least squares Regression for (weighted) beta regression
 models (Bertrand 2013, <http://journal-sfds.fr/article/view/215>) and k-fold
 cross-validation of such models using various criteria. It allows for
 missing data in the explanatory variables. Bootstrap confidence intervals
 constructions are also available.

Package: r-cran-plsrcox
Architecture: all
Version: 1.7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3225
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-plsrglm, r-cran-lars, r-cran-pls, r-cran-kernlab, r-bioc-mixomics, r-cran-risksetroc, r-bioc-survcomp, r-cran-survauc, r-cran-rms
Suggests: r-cran-survivalroc, r-cran-plsdof
Filename: pool/dists/focal/main/r-cran-plsrcox_1.7.7-1.ca2004.1_all.deb
Size: 2254224
MD5sum: 3b2bd6d6da8244b783b696400f904455
SHA1: a0ceb04c60bcd09fccff0055695b90189008d77a
SHA256: 09471ca8143393e8789060321843a268b87af60a4805ddd172e3ca28beccd5a0
SHA512: c06a76ba6591263d2dbd79cc0c988b26defaa4e997c6d6233b8753db3aea369a6baaf0f01abbb3c9db12ba54493c44436fa683cfd52eee1d4a165c1b760589a9
Homepage: https://cran.r-project.org/package=plsRcox
Description: CRAN Package 'plsRcox' (Partial Least Squares Regression for Cox Models and RelatedTechniques)
 Provides Partial least squares Regression and various regular, sparse or
 kernel, techniques for fitting Cox models in high dimensional settings
 <doi:10.1093/bioinformatics/btu660>, Bastien, P., Bertrand, F., Meyer N.,
 Maumy-Bertrand, M. (2015), Deviance residuals-based sparse PLS and sparse
 kernel PLS regression for censored data, Bioinformatics, 31(3):397-404.
 Cross validation criteria were studied in <arXiv:1810.02962>, Bertrand, F.,
 Bastien, Ph. and Maumy-Bertrand, M. (2018), Cross validating extensions of
 kernel, sparse or regular partial least squares regression models to
 censored data.

Package: r-cran-plsrglm
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2263
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm, r-cran-boot, r-cran-bipartite, r-cran-car, r-cran-mass
Suggests: r-cran-plsdof, r-cran-r.rsp, r-cran-chemometrics, r-cran-plsdepot
Filename: pool/dists/focal/main/r-cran-plsrglm_1.5.1-1.ca2004.1_all.deb
Size: 2125976
MD5sum: 2153bb909a1654def3378cdef896be4e
SHA1: 8e4f2f5f396b89c4f5d9475ece73aea7016cad63
SHA256: 5773b34b2a73961735c28384a5e18730323ae8091ffb1a99fabd46cc462b77bd
SHA512: 0cbca77bae27d7957fe0d0f18e33ceb7df63617b643e079575a2d2d520a51bb61555e78ad65cbd5b44589a244d4fe29fcd930e3ed1130837c039930a3ff29781
Homepage: https://cran.r-project.org/package=plsRglm
Description: CRAN Package 'plsRglm' (Partial Least Squares Regression for Generalized Linear Models)
 Provides (weighted) Partial least squares Regression for generalized linear
 models and repeated k-fold cross-validation of such models using various
 criteria <arXiv:1810.01005>. It allows for missing data in the explanatory
 variables. Bootstrap confidence intervals constructions are also available.

Package: r-cran-plstests
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-harmonicmeanp, r-cran-mass, r-cran-psych
Filename: pool/dists/focal/main/r-cran-plstests_0.1.1-1.ca2004.1_all.deb
Size: 64380
MD5sum: 8b4ebcbc55afbbd04b61bbfb34b46a78
SHA1: cf2a1e45ecddd33a052eb521c26daff70a3d9f44
SHA256: 2159dcc6c51c115fb92035a2222707ca9b0f0c2524a1d70ea44ae11ac4e3623c
SHA512: 3ecdc0f71da1a9535792860b0f43f8c36fbe58e22b60ef87cd1a58432807fe3dfeab3e2af41feaae7d69ef33f8e1f599498a9cac51ea94c300f5c90ef958e603
Homepage: https://cran.r-project.org/package=PLStests
Description: CRAN Package 'PLStests' (Model Checking for High-Dimensional GLMs via Random Projections)
 Provides methods for testing the goodness-of-fit of generalized linear
 models (GLMs) using random projections. It is specifically designed for
 high-dimensional scenarios where the number of predictors substantially
 exceeds the sample size. The statistical methodologies implemented in this
 package are detailed in the paper by Wen Chen and Falong Tan (2024,
 <doi:10.48550/arXiv.2412.10721>).

Package: r-cran-plsvarsel
Architecture: all
Version: 0.9.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pls, r-cran-genalg, r-cran-mvtnorm, r-cran-bdsmatrix, r-cran-mass, r-cran-progress, r-cran-praznik
Suggests: r-cran-rmpi
Filename: pool/dists/focal/main/r-cran-plsvarsel_0.9.13-1.ca2004.1_all.deb
Size: 268824
MD5sum: ffda66d57be4cf4400105133197b940d
SHA1: 45c235e305d1c026687628e146848a8313b72060
SHA256: b8dcd992c37c79a3c52b4b24bd348f6445a32a8d213ccf757e1e01af46273948
SHA512: 037559af8ad8d1478f7cd410002f92245722cc4aa5e26df66b9cc822e8e0504573e6c21b5dc565092346695b796ba71867c38edf915cc49f8c8919e5931ae205
Homepage: https://cran.r-project.org/package=plsVarSel
Description: CRAN Package 'plsVarSel' (Variable Selection in Partial Least Squares)
 Interfaces and methods for variable selection in Partial Least Squares. The
 methods include filter methods, wrapper methods and embedded methods. Both
 regression and classification is supported.

Package: r-cran-pltesim
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coresim, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pltesim_1.0-1.ca2004.1_all.deb
Size: 213792
MD5sum: 2d1b19460b88cb14bb52a7680459a644
SHA1: 65eda39e2583270e063306579b67dc143f303740
SHA256: f11c764a0e7a352478d371e499f8cefd22524d3fe14ad15ca27e028b55d6e3ad
SHA512: 6e6331cf0c84e4bb01418a09b80d7f68451efd7788bd122f393783b2042d10632f03b11a48fcc261cd903147de260902978b4613b0e3e336569b3b6dbd70fe91
Homepage: https://cran.r-project.org/package=pltesim
Description: CRAN Package 'pltesim' (Simulate Probabilistic Long-Term Effects in Models with TemporalDependence)
 Calculates and depicts probabilistic long-term effects in binary models with
 temporal dependence variables. The package performs two tasks. First, it
 calculates the change in the probability of the event occurring given a
 change in a theoretical variable. Second, it calculates the rolling
 difference in the future probability of the event for two scenarios: one
 where the event occurred at a given time and one where the event does not
 occur. The package is consistent with the recent movement to depict
 meaningful and easy-to-interpret quantities of interest with the requisite
 measures of uncertainty. It is the first to make it easy for researchers to
 interpret short- and long-term effects of explanatory variables in binary
 autoregressive models, which can have important implications for the correct
 interpretation of these models.

Package: r-cran-plu
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lifecycle
Suggests: r-cran-and, r-cran-covr, r-cran-crayon, r-cran-fracture, r-cran-glue, r-cran-knitr, r-cran-nombre, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-plu_0.3.0-1.ca2004.1_all.deb
Size: 859740
MD5sum: 989fe00244660e80fdd8a0357227ef7f
SHA1: ea0870e6756b4c64a1ee1bd82aab840e2610c739
SHA256: 81be67f67a88a33bdfd8ea5debfa16eca5b27ed4e191d40150f24c13e58eda9e
SHA512: da6908a56dd2c9e09a58763a05837260a6aa8574bb218f93c43eba6afdd029b0caf033c91ee546ec7d3ab0e3674932b287f5e957c0a1122e56ff678a216a6ffd
Homepage: https://cran.r-project.org/package=plu
Description: CRAN Package 'plu' (Dynamically Pluralize Phrases)
 Converts English phrases to singular or plural form based on the length of
 an associated vector.  Contains helper functions to create natural language
 lists from vectors and to include the length of a vector in natural
 language.

Package: r-cran-plug
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2326
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-httr2, r-cran-glue, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-plug_0.1.0-1.ca2004.1_all.deb
Size: 105020
MD5sum: c8df763e149b0085febca4ff8c5bf287
SHA1: 422603d4dd769efb4b1c0188349919bc29a6d45d
SHA256: 68b2763b8e8c0568a8466b10033f6ae4bbb5aeb4aa694066a6d9dd842c2aa78a
SHA512: fcdbd119a4155f86763bc907c87d38f72ccf2341e9b3417ef48fc56c42f9a4dfaf8d3e8dce7a9c15e51ddc5efed672ab84f4401486ac4dd7f2abc07464e6d3ff
Homepage: https://cran.r-project.org/package=plug
Description: CRAN Package 'plug' (Secure and Intuitive Access to 'Plug' Interface)
 Provides a secure and user-friendly interface to interact with the 'Plug'
 <https://plugbytpf.com.br> 'API'. It enables developers to store and manage
 tokens securely using the 'keyring' package, retrieve data from 'API'
 endpoints with the 'httr2' package, and handle large datasets with chunked
 data fetching. Designed for simplicity and security, the package facilitates
 seamless integration with 'Plug' ecosystem.

Package: r-cran-plumber
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1275
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-stringi, r-cran-jsonlite, r-cran-webutils, r-cran-httpuv, r-cran-crayon, r-cran-promises, r-cran-sodium, r-cran-swagger, r-cran-magrittr, r-cran-mime, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-base64enc, r-cran-htmlwidgets, r-cran-visnetwork, r-cran-later, r-cran-readr, r-cran-yaml, r-cran-arrow, r-cran-future, r-cran-coro, r-cran-rstudioapi, r-cran-spelling, r-cran-mockery, r-cran-geojsonsf, r-cran-redoc, r-cran-rapidoc, r-cran-sf, r-cran-ragg, r-cran-svglite, r-cran-readxl, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-plumber_1.3.0-1.ca2004.1_all.deb
Size: 1064664
MD5sum: 7fa61a206e66e82fc0e930b33ab67309
SHA1: c1e2e14f1b37495ad82510acd80bc27ed7da4d07
SHA256: 59b873857a3829f9385f421044542beca89d6a8712ecd5791cce1f27d351d7e5
SHA512: a533e86942c8468d5288a6b950fc85775fa33e7477c7e3cd30291daeac6f9155a14c322daef89071c569328ec48a5250ad0dfb3d25455818a95f20866c3b60e5
Homepage: https://cran.r-project.org/package=plumber
Description: CRAN Package 'plumber' (An API Generator for R)
 Gives the ability to automatically generate and serve an HTTP API from R
 functions using the annotations in the R documentation around your
 functions.

Package: r-cran-plumberdeploy
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-analogsea, r-cran-ssh, r-cran-jsonlite, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-plumberdeploy_0.2.1-1.ca2004.1_all.deb
Size: 50856
MD5sum: c00d3f71baf53a038b7774c5f912932b
SHA1: b633efeb0d7e059a200d4a154ebd72e8d722f8cb
SHA256: 866dd7ba76a5604f6e595effda28df4655b1001f2eeaca837715d91be7565291
SHA512: da10aeb63ffbe8365f412c53874a9f60ae195cfe297200cb7108e6079fc4b24833f0cd5eb6ec22110719319defe9582322cb2857a5a569dc81967d1ec16bfce1
Homepage: https://cran.r-project.org/package=plumberDeploy
Description: CRAN Package 'plumberDeploy' (Plumber Deployment)
 Gives the ability to automatically deploy a plumber API from R functions on
 'DigitalOcean' and other cloud-based servers.

Package: r-cran-plumbertableau
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2019
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plumber, r-cran-magrittr, r-cran-curl, r-cran-httpuv, r-cran-jsonlite, r-cran-later, r-cran-promises, r-cran-rlang, r-cran-htmltools, r-cran-debugme, r-cran-stringi, r-cran-markdown, r-cran-urltools, r-cran-httr, r-cran-knitr
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-plumbertableau_0.1.1-1.ca2004.1_all.deb
Size: 1394112
MD5sum: ed299b25f22dfb74a3c2c20278c49c0d
SHA1: cf8c0cd8dcee26a6a65ed6537bcf7140d2e1ab9f
SHA256: 052cd99eabc880bb191cb8db6a3ed8b174625da7b20d58bc3fce52435930a7cc
SHA512: 38debe96b89c3b5c1b16a35178bbee8532dd87e7aacad046a6c02be8cebad38eed3444bd6772e48c077c0fd90dbfd4a1932bc9a48391e8d7c235987fc1efa65d
Homepage: https://cran.r-project.org/package=plumbertableau
Description: CRAN Package 'plumbertableau' (Turn 'Plumber' APIs into 'Tableau' Extensions)
 Build 'Plumber' APIs that can be used in 'Tableau' workbooks.  Annotations
 in R comments allow APIs to conform to the 'Tableau Analytics Extension'
 specification, so that R code can be used to power 'Tableau' workbooks.

Package: r-cran-plumbr
Architecture: all
Version: 0.6.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-objectsignals
Suggests: r-cran-plyr, r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-plumbr_0.6.10-1.ca2004.1_all.deb
Size: 364760
MD5sum: 3183d019089d5c381d626f7c3bc7ec22
SHA1: 128208c3581997043ce3b31000034b286e7b672b
SHA256: 7ba5317ca684533147c127243486d308832c8a0fceb33004c60366fd62bbe932
SHA512: 40a1bf248511a6a8a7542fb9bdf30d8efc950ea956cc38c1007ab94aa65de9a0b296426b868a2db350d192c991a99fa71fb4ba297c2a6d56aa24463f08bd6b5d
Homepage: https://cran.r-project.org/package=plumbr
Description: CRAN Package 'plumbr' (Mutable and Dynamic Data Models)
 The base R data.frame, like any vector, is copied upon modification. This
 behavior is at odds with that of GUIs and interactive graphics. To rectify
 this, plumbr provides a mutable, dynamic tabular data model.  Models may be
 chained together to form the complex plumbing necessary for sophisticated
 graphical interfaces. Also included is a general framework for linking
 datasets; an typical use case would be a linked brush.

Package: r-cran-plume
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 684
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-jsonlite, r-cran-knitr, r-cran-lifecycle, r-cran-purrr, r-cran-r6, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-yaml
Suggests: r-cran-covr, r-cran-fontawesome, r-cran-gt, r-cran-rmarkdown, r-cran-testthat, r-cran-waldo, r-cran-withr
Filename: pool/dists/focal/main/r-cran-plume_0.2.5-1.ca2004.1_all.deb
Size: 408900
MD5sum: 43eda154465760138efaf68de1e9fb05
SHA1: 2006325b93619a727f48860f89986115e3747e5e
SHA256: b612eeb393ad33312051d1d2c4a2ac9696a559cbd6723dd049661744d2733f88
SHA512: d642fbf3d8db4685b063af77600a37cbbe21e2981b622968dfb586aeb2a43f7a65342a62e98230d7230bfbf0ed6664970fbc6de646f514c91558c2ce26694605
Homepage: https://cran.r-project.org/package=plume
Description: CRAN Package 'plume' (A Simple Author Handler for Scientific Writing)
 Handles and formats author information in scientific writing in 'R Markdown'
 and 'Quarto'. 'plume' provides easy-to-use and flexible tools for injecting
 author metadata in 'YAML' headers as well as generating author and
 contribution lists (among others) as strings from tabular data.

Package: r-cran-pluralize
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pluralize_0.2.0-1.ca2004.1_all.deb
Size: 33488
MD5sum: d4610e425b53cc0d70bc9bc4fd1de766
SHA1: ecf782ae18ac9f6babb75293cb9c27fadca15961
SHA256: 142095f168f214831bda815f274511e15e70a645ee503b7118d799d5e2389824
SHA512: 8ed0de90059bbca187f09b46da9e71719c1fa517303c5896b4974e92472e341d2c848f6e22f68982bd77a15e4b07508acbe399bb227952ceee51e2bf83ac56c5
Homepage: https://cran.r-project.org/package=pluralize
Description: CRAN Package 'pluralize' (Pluralize and 'Singularize' Any (English) Word)
 Tools are provided to create plural, singular and regular forms of English
 words along with tools to augment the built-in rules to fit specialized
 needs. Core functionality is based on a JavaScript library,
 <https://github.com/blakeembrey/pluralize>.

Package: r-cran-plus
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1079
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-plus_1.0-1.ca2004.1_all.deb
Size: 1071792
MD5sum: 450082d94afb7bc8a9fb2f7363800f29
SHA1: 383aa12a3d49ddbfcad7bc155ada44ca33ef37d3
SHA256: f4010d1b1910519803ab6bcc79d9556e5cbbcfddfef7af84caf7fc6a9018f111
SHA512: f10a0b57bc7a0944bdb7e28f7e0000d47809a1b4fa882404190f42bd1d244b22dcc7225e0d92ca3e6b46c2f41d293d80affbc7fd38e3e20b3c4c0d20959e51c1
Homepage: https://cran.r-project.org/package=plus
Description: CRAN Package 'plus' (Penalized Linear Unbiased Selection)
 Efficient procedures for fitting an entire regression sequences with
 different model types.

Package: r-cran-pluscode2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf
Filename: pool/dists/focal/main/r-cran-pluscode2_0.1.0-1.ca2004.1_all.deb
Size: 25660
MD5sum: 225db183b1e855e84e58a58d0c872609
SHA1: be5f3da42ce1cac7411b0dce0544136a28b071eb
SHA256: 77465a230bfdf6f3e177c6a09fcacaddea5d5e9417d5318ec640bd5b3cee4e32
SHA512: cdac95c33c6e3cb7b64c4b3944191cc1f0e7477320912590b76102fbda9b0f78d5e735449d5c963a66dbe51407496c1bd6a1d96d48b87fcb261d8f71574b67e2
Homepage: https://cran.r-project.org/package=plusCode2
Description: CRAN Package 'plusCode2' (Coordinates to 'Plus Code' Conversion Tool)
 Generates 'Plus Code' of geometric objects or data frames that contain them,
 giving the possibility to specify the precision of the area. The main
 feature of the package comes from the open-source code developed by 'Google
 Inc.' present in the repository
 <https://github.com/google/open-location-code/blob/main/java/src/main/java/com/google/openlocationcode/OpenLocationCode.java>.
 For details about 'Plus Code', visit <https://maps.google.com/pluscodes/> or
 <https://github.com/google/open-location-code>.

Package: r-cran-pluscode
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-pluscode_0.1.0-1.ca2004.1_all.deb
Size: 61444
MD5sum: 828c7e287b171126f5f98e7859131fb4
SHA1: 025eb37bc1c39db7724bb422a73101df73af1dc0
SHA256: 68c8a96be501386d13bf9bb310e90ff869bf082c1557993bd8e6eae5b66f381c
SHA512: 0e1a58504344995dadffa0740af463fa30104f0f55ff8ee79f1fdbf522dfa839d2024ed05072c0054287a2ff598939db7aceddad0d3a3b045bc1c7cc4f3573ec
Homepage: https://cran.r-project.org/package=pluscode
Description: CRAN Package 'pluscode' (Encoder for Google 'Pluscodes')
 Retrieves a 'pluscode' by inputting latitude and longitude. Includes
 additional functions to retrieve neighbouring 'pluscodes'.

Package: r-cran-plusser
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio, r-cran-lubridate, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-plusser_0.4-0-1.ca2004.1_all.deb
Size: 68004
MD5sum: 6e16fec6085324f9e79e70a16890752f
SHA1: 560aa3e8a74b83ed463ffcdea0c26de456ec45a0
SHA256: f298109369c893410f32c9d6bfc2601da9dbe776996980b12eb29b8b4769f768
SHA512: d346032b930ebfa015b55436e2ef3e2e5e819e74ae2b9e6e09ea9f2b060ca30be7cbe84d82901fc0b78ce206144390a5aa0da5032722151c51a8b815514a3a5a
Homepage: https://cran.r-project.org/package=plusser
Description: CRAN Package 'plusser' (A Google+ Interface for R)
 plusser provides an API interface to Google+ so that posts, profiles and
 pages can be automatically retrieved.

Package: r-cran-plutor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-baizer, r-cran-cli, r-cran-dplyr, r-cran-ggh4x, r-cran-ggplot2, r-cran-ggsci, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-repr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-svglite, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-plutor_0.1.0-1.ca2004.1_all.deb
Size: 504148
MD5sum: 130a8c11907d96fbecd399c9116d3ec1
SHA1: 6569ddbc138a9b2b35105db237495c8467eb55b9
SHA256: 3cd428cf56170983c3cd25362f7d0d35d466a0e08fa945c61c970682462c74af
SHA512: 36cab8217c7e8be54b4fd1e76f65e766279efd5c502063fe6b926d11dbcaae0e5cae874fb64873444be251272f97eb640e26be5e6aca07494650b3fd54800e99
Homepage: https://cran.r-project.org/package=plutor
Description: CRAN Package 'plutor' (Useful Functions for Visualization)
 In ancient Roman mythology, 'Pluto' was the ruler of the underworld and
 presides over the afterlife. 'Pluto' was frequently conflated with 'Plutus',
 the god of wealth, because mineral wealth was found underground.  When
 plotting with R, you try once, twice, practice again and again, and finally
 you get a pretty figure you want. It's a 'plot tour', a tour about
 repetition and reward. Hope 'plutor' helps you on the tour!

Package: r-cran-pm3
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tableone
Filename: pool/dists/focal/main/r-cran-pm3_0.2.0-1.ca2004.1_all.deb
Size: 28092
MD5sum: 26102311edbc545f3f5c090eff2e699f
SHA1: 9582e4649b8bc4d2e22f1029dc3dff75399c0ed7
SHA256: 63353b8ac88fe12a997daa538ec33ca19f937f7efc27f6db385ac895422a01a7
SHA512: aa32eb9198743bc0844acc14e72ef82e1c69b8f3fe23370b73692f560f0763f7f9f7c8b71488ace520e40e9ed535947399bc4cb4995024e7c70e8330ae6ee73c
Homepage: https://cran.r-project.org/package=pm3
Description: CRAN Package 'pm3' (Propensity Score Matching for Unordered 3-Group Data)
 You can use this program for 3 sets of categorical data for propensity score
 matching.  Assume that the data has 3 different categorical variables. You
 can use it to perform propensity matching of baseline indicator groupings.
 The matching will make the differences in the baseline data smaller.  This
 method was described by Alvaro Fuentes (2022)
 <doi:10.1080/00273171.2021.1925521>.

Package: r-cran-pmapscore
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4337
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-clusterprofiler, r-cran-glmnet, r-bioc-maftools, r-bioc-org.hs.eg.db, r-cran-proc, r-cran-survival, r-cran-survminer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmapscore_0.1.1-1.ca2004.1_all.deb
Size: 2643904
MD5sum: e7e3a99f230d60c077c2c7040e1c4c5d
SHA1: 75adaefe37ca652280187cda5b958b69e78cff5b
SHA256: b15292a184d64406a9e1c89328c0d12d39b15031da3e6829672a0e2dc041fa88
SHA512: b616b7f7ee118058743fb37a8f490f591cdc2765c2a8041a9dac5788ff62ff6b5b810c5e32fc84cb316b9ecffeacdc2b62a0811fbab8127cfca9d368c8002a6e
Homepage: https://cran.r-project.org/package=PMAPscore
Description: CRAN Package 'PMAPscore' (Identify Prognosis-Related Pathways Altered by Somatic Mutation)
 We innovatively defined a pathway mutation accumulate perturbation score
 (PMAPscore) to reflect the position and the cumulative effect of the genetic
 mutations at the pathway level. Based on the PMAPscore of pathways,
 identified prognosis-related pathways altered by somatic mutation and
 predict immunotherapy efficacy by constructing a multiple-pathway-based risk
 model (Tarca, Adi Laurentiu et al (2008)
 <doi:10.1093/bioinformatics/btn577>).

Package: r-cran-pmc
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-geiger, r-cran-ggplot2, r-cran-ouch, r-cran-tidyr, r-cran-phytools
Suggests: r-cran-covr, r-cran-gridextra, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmc_1.0.6-1.ca2004.1_all.deb
Size: 123404
MD5sum: f2aff9c8f5a34a5775fa44c00066d608
SHA1: 5a1373aa51d362babc4c49bf2a0824f9f863afd5
SHA256: 6f598b6f754e977409e7b55d4a3b4edaec00592b0a9783886945fd8c2e9f31bb
SHA512: be9229d00a19c37fd1c7748e94b5dfa53b63af73f3167bd220e84b5d31a63f1f5d4192d594baacfcff681ba59767285891e06fa8ce5915eb9614313081901696
Homepage: https://cran.r-project.org/package=pmc
Description: CRAN Package 'pmc' (Phylogenetic Monte Carlo)
 Monte Carlo based model choice for applied phylogenetics of continuous
 traits. Method described in Carl Boettiger, Graham Coop, Peter Ralph (2012)
 Is your phylogeny informative? Measuring the power of comparative methods,
 Evolution 66 (7) 2240-51. <doi:10.1111/j.1558-5646.2011.01574.x>.

Package: r-cran-pmcalibration
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-mass, r-cran-mgcv, r-cran-survival, r-cran-pbapply
Suggests: r-cran-rmarkdown, r-cran-data.table, r-cran-ggplot2, r-cran-rms, r-cran-simsurv
Filename: pool/dists/focal/main/r-cran-pmcalibration_0.2.0-1.ca2004.1_all.deb
Size: 363120
MD5sum: 744110cde635e638adaa8bcf6ebfd4f7
SHA1: f11325fe32ac37a28663d365eb351f771d608cc0
SHA256: 8d9c06d14f6d2b62e5d3fe0e365f3ede70f302c678eca77245dc8aa6e4d147f0
SHA512: f124a36309601c11977313160f5c3e55386253c2344d1adc4bc7fdaace517f14c6212705997f8a33c8c001d77719a25eebe579dc7df74c489c2c6de89af3e6d4
Homepage: https://cran.r-project.org/package=pmcalibration
Description: CRAN Package 'pmcalibration' (Calibration Curves for Clinical Prediction Models)
 Fit calibrations curves for clinical prediction models and calculate several
 associated metrics (Eavg, E50, E90, Emax). Ideally predicted probabilities
 from a prediction model should align with observed probabilities.
 Calibration curves relate predicted probabilities (or a transformation
 thereof) to observed outcomes via a flexible non-linear smoothing function.
 'pmcalibration' allows users to choose between several smoothers (regression
 splines, generalized additive models/GAMs, lowess, loess). Both binary and
 time-to-event outcomes are supported.  See Van Calster et al. (2016)
 <doi:10.1016/j.jclinepi.2015.12.005>; Austin and Steyerberg (2019)
 <doi:10.1002/sim.8281>; Austin et al. (2020) <doi:10.1002/sim.8570>.

Package: r-cran-pmcgd
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mixture, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-pmcgd_1.1-1.ca2004.1_all.deb
Size: 114352
MD5sum: 93ed582f7c31669c920d571a776aba30
SHA1: e7cd5a059257aad08be4923214d435698a68d227
SHA256: 9c20d3c27a56ae32c4fad4a4b1b8cf57e195cc5fb9c38be1a813ffcf57cd893b
SHA512: 1bfe6dd36a3311d0caf24a749ea35933dba635fab860fc0a66e617314a516d1d6734213ffb820933d74f9e8ff97ae8b75c262f4c08ed19cfacc57129ff82565f
Homepage: https://cran.r-project.org/package=pmcgd
Description: CRAN Package 'pmcgd' (pmcgd)
 Parsimonious Mixtures of Contaminated Gaussian Distributions

Package: r-cran-pmcmr
Architecture: all
Version: 4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-multcompview
Filename: pool/dists/focal/main/r-cran-pmcmr_4.4-1.ca2004.1_all.deb
Size: 51284
MD5sum: 65a77dc14a797362b1e2a80843a84731
SHA1: 7aa38a91160963e4542b560f033173583df6119b
SHA256: 99dad82bf8e2c12da12c36724bd0a50f51914b7f8c30f39c607ec9953bc12c06
SHA512: e432ad919ac057777cc26fda5d634705b4a8c30e4a626950db1d7ea3d224b6e7461ae953a1c9088e30956968f536518f92bf0641a7a152f3315a2c3a636a0817
Homepage: https://cran.r-project.org/package=PMCMR
Description: CRAN Package 'PMCMR' (Calculate Pairwise Multiple Comparisons of Mean Rank Sums)
 Note, that the 'PMCMR' package is superset by the novel 'PMCMRplus' package.
 The 'PMCMRplus' package contains all functions from 'PMCMR' and many more
 parametric and non-parametric multiple comparison procedures, one-factorial
 trend tests, as well as improved method functions, such as print, summary
 and plot.  The 'PMCMR' package is no longer maintained, but kept for
 compatibility of reverse depending packages for some time.

Package: r-cran-pmd
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4655
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-igraph, r-cran-envigcms
Suggests: r-cran-knitr, r-cran-shiny, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmd_0.2.7-1.ca2004.1_all.deb
Size: 3762336
MD5sum: fe89900b954af9051b88824f53683ad4
SHA1: 447ec068d876ab028bd67ecd8bd9e3ba18992ebf
SHA256: ffd435a07f0ce3995217ef12ad6a65f333142e4fdc0bb034bda61cabca25f54d
SHA512: 2a515114b56c2e8b0b30c02ac879617dcd0bdbf35de30241d17882c4f4d69a575077d9cf0781933f96fb31902b5565f297b038efd947f168f4dc2134fb3eb84e
Homepage: https://cran.r-project.org/package=pmd
Description: CRAN Package 'pmd' (Paired Mass Distance Analysis for GC/LC-MS Based Non-TargetedAnalysis and Reactomics Analysis)
 Paired mass distance (PMD) analysis proposed in Yu, Olkowicz and Pawliszyn
 (2018) <doi:10.1016/j.aca.2018.10.062> and PMD based reactomics analysis
 proposed in Yu and Petrick (2020) <doi:10.1038/s42004-020-00403-z> for
 gas/liquid chromatography–mass spectrometry (GC/LC-MS) based non-targeted
 analysis. PMD analysis including GlobalStd algorithm and structure/reaction
 directed analysis. GlobalStd algorithm could found independent peaks in
 m/z-retention time profiles based on retention time hierarchical cluster
 analysis and frequency analysis of paired mass distances within retention
 time groups. Structure directed analysis could be used to find potential
 relationship among those independent peaks in different retention time
 groups based on frequency of paired mass distances. Reactomics analysis
 could also be performed to build PMD network, assign sources and make
 biomarker reaction discovery. GUIs for PMD analysis is also included as
 'shiny' applications.

Package: r-cran-pmetar
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1574
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-lubridate, r-cran-magrittr, r-cran-rcurl, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pmetar_0.5.1-1.ca2004.1_all.deb
Size: 1480372
MD5sum: 182d596343c1ea416b24cc3a8ad87308
SHA1: 68661c3b79847effaa85d5bdc83393961aff7c0d
SHA256: 2b9423fb7da16c321b926e25dd6778220b9692c272ab3f25b6d8fb2e1a1b29a8
SHA512: 4a01b895a2bf1ecd39aafacdf8a05dea678b289ebd4cf62c9299474014805df79605967aad335ebc6f564598e3e3b5c1dca90b32a8a6c512de6635fcc05620a1
Homepage: https://cran.r-project.org/package=pmetar
Description: CRAN Package 'pmetar' (Processing METAR Weather Reports)
 Allows to download current and historical METAR weather reports extract and
 parse basic parameters and present main weather information.  Current
 reports are downloaded from Aviation Weather Center
 <https://aviationweather.gov/data/metar/> and historical reports from Iowa
 Environmental Mesonet web page of Iowa State University ASOS-AWOS-METAR
 <http://mesonet.agron.iastate.edu/AWOS/>.

Package: r-cran-pmev
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-zoo, r-cran-rlang, r-cran-ggplot2, r-cran-scales, r-cran-vdiffr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pmev_0.1.2-1.ca2004.1_all.deb
Size: 111656
MD5sum: c35324dacfd0573490ea443da3bdac64
SHA1: 4059215984e0cca7d9681f4edbab4435db6d0ce9
SHA256: 58ab5b74d11289782bc69fcaf29cf3c2095d6ced5ae7e780c30bfc3e114b8baf
SHA512: 72966a5ba9cad70e8a25569ce6fd1d1fed149d9eaf1cb687c36d74640f58d986ed8d7f458c73ddbda17b025c31e5aa5a99e52ea9dcd343a9915800dc47f2ece9
Homepage: https://cran.r-project.org/package=pmev
Description: CRAN Package 'pmev' (Calculates Earned Value for a Project Schedule)
 Given a project schedule and associated costs, this package calculates the
 earned value to date. It is an implementation of Project Management Body of
 Knowledge (PMBOK) methodologies (reference Project Management Institute.
 (2021). A guide to the Project Management Body of Knowledge (PMBOK guide)
 (7th ed.). Project Management Institute, Newtown Square, PA, ISBN
 9781628256673 (pdf)).

Package: r-cran-pmevapotranspiration
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pmevapotranspiration_0.1.0-1.ca2004.1_all.deb
Size: 15420
MD5sum: fb3af6219d75f4c9ea9ad77a1304c427
SHA1: bf05c971ab777fae74093e6a62a12b1095756efe
SHA256: fbd71207e8903070ed9146d384121fe18170e54ddd07408970fd1ce276cf0d59
SHA512: e69f578221971bc1529da249cb9d6a4517508548900f39598a35df9bf0729a82d598e4c2406e80b1331b819a1cf09427686822c14a31b8c05a08506169bfd706
Homepage: https://cran.r-project.org/package=PMEvapotranspiration
Description: CRAN Package 'PMEvapotranspiration' (Calculation of the Penman-Monteith Evapotranspiration usingWeather Variables)
 The Food and Agriculture Organization-56 Penman-Monteith is one of the
 important method for estimating evapotranspiration from vegetated land
 areas. This package helps to calculate reference evapotranspiration using
 the weather variables collected from weather station. Evapotranspiration is
 the process of water transfer from the land surface to the atmosphere
 through evaporation from soil and other surfaces and transpiration from
 plants. The package aims to support agricultural, hydrological, and
 environmental research by offering accurate and accessible reference
 evapotranspiration calculation. This package has been developed using
 concept of Córdova et al. (2015)<doi:10.1016/j.apm.2022.09.004> and Debnath
 et al. (2015) <doi:10.1007/s40710-015-0107-1>.

Package: r-cran-pmhtutorial
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-quandl
Filename: pool/dists/focal/main/r-cran-pmhtutorial_1.5-1.ca2004.1_all.deb
Size: 94352
MD5sum: 5a768de7299a470c5687d18b3828355b
SHA1: 232d453cf8b075ba5247fb08b6968f15da27b40d
SHA256: 78ef266b52c2fb7d23e41132034f3017e48ba3f7de209d42317ea14731c62f79
SHA512: c91e5634ad2c56dd06ded1d87e3531a4149909f7ac58b58fd0bfc719f8e164a6634829aeb777a0a5f9885357525a7b5bc33c1dc7f2a6aa360a9a1db4c71b56db
Homepage: https://cran.r-project.org/package=pmhtutorial
Description: CRAN Package 'pmhtutorial' (Minimal Working Examples for Particle Metropolis-Hastings)
 Routines for state estimate in a linear Gaussian state space model and a
 simple stochastic volatility model using particle filtering. Parameter
 inference is also carried out in these models using the particle
 Metropolis-Hastings algorithm that includes the particle filter to provided
 an unbiased estimator of the likelihood. This package is a collection of
 minimal working examples of these algorithms and is only meant for
 educational use and as a start for learning to them on your own.

Package: r-cran-pminternal
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1028
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dcurves, r-cran-insight, r-cran-marginaleffects, r-cran-pmcalibration, r-cran-proc, r-cran-pbapply, r-cran-purrr
Suggests: r-cran-ggplot2, r-cran-glmnet, r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown, r-cran-ranger, r-cran-gbm, r-cran-rms, r-cran-mgcv, r-cran-mice
Filename: pool/dists/focal/main/r-cran-pminternal_0.1.0-1.ca2004.1_all.deb
Size: 703624
MD5sum: f85a33533fea63c55e98666f1f91a4be
SHA1: da09d1f162f498ecadd8188b45a6b29d5674da7d
SHA256: 206edc8a606da28542085c860a451ecda65e3210c8571eb2ef6a88591f00819c
SHA512: 012b473c9588f26ae9260911753466a87a70496f8f07a11b5ba6d7338d79828c59d6310806de93503699fb5d1cb1028fa7e9b0aee42617b86cb34688130b97d5
Homepage: https://cran.r-project.org/package=pminternal
Description: CRAN Package 'pminternal' (Internal Validation of Clinical Prediction Models)
 Conduct internal validation of a clinical prediction model for a binary
 outcome.  Produce bias corrected performance metrics (c-statistic, Brier
 score, calibration intercept/slope) via bootstrap (simple bootstrap,
 bootstrap optimism, .632 optimism) and cross-validation (CV optimism, CV
 average). Also includes functions to assess model stability via bootstrap
 resampling.  See Steyerberg et al. (2001)
 <doi:10.1016/s0895-4356(01)00341-9>; Harrell (2015)
 <doi:10.1007/978-3-319-19425-7>; Riley and Collins (2023)
 <doi:10.1002/bimj.202200302>.

Package: r-cran-pmlbr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fnn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pmlbr_0.3.0-1.ca2004.1_all.deb
Size: 219552
MD5sum: 4407a09f22bdf431caf9ceab5ac66029
SHA1: 285ac41e9c8006f10b5805fb25a38cbd270222bb
SHA256: 2d584dde7974f2cb7ba8bd49a62e6ba9377308f062a69b2cfc9edaa31d32877e
SHA512: 292d4a03f7581d3cc8792c16bc7f4a5ac505cf99f8d738b9e634050471b784e88fbf09f4dd7c0fe36e581f99399e5fd3056db5e442f1008c8058913cd66f182c
Homepage: https://cran.r-project.org/package=pmlbr
Description: CRAN Package 'pmlbr' (Interface to the Penn Machine Learning Benchmarks DataRepository)
 Check available classification and regression data sets from the PMLB
 repository and download them.  The PMLB repository
 (<https://github.com/EpistasisLab/pmlbr>) contains a curated collection of
 data sets for evaluating and comparing machine learning algorithms.  These
 data sets cover a range of applications, and include binary/multi-class
 classification problems and regression problems, as well as combinations of
 categorical, ordinal, and continuous features.  There are currently over 150
 datasets included in the PMLB repository.

Package: r-cran-pmledecon
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-splitstackshape, r-cran-rmutil
Filename: pool/dists/focal/main/r-cran-pmledecon_0.2.1-1.ca2004.1_all.deb
Size: 41728
MD5sum: bb98ef2f61bb3f2fb17b210847632f14
SHA1: ba7a77ebfc4dba4d149cd32b00f994fdd9543df7
SHA256: e9b69c444eefaf3a9fd3e241f6edf51f45c01d5b7cd1bf5b16023a8d0ba96733
SHA512: fb70fc2bb55c7e45dab72ce5fc374093a1d8e6ac2ab0d8b8374645b6495a91cd4b0e0f33e9477df21e9f6a507ebababea5d0fe45b43d80f5aac50124548dbe99
Homepage: https://cran.r-project.org/package=pmledecon
Description: CRAN Package 'pmledecon' (Deconvolution Density Estimation using Penalized MLE)
 Given a sample with additive measurement error, the package estimates the
 deconvolution density - that is, the density of the underlying distribution
 of the sample without measurement error. The method maximises the
 log-likelihood of the estimated density, plus a quadratic smoothness
 penalty. The distribution of the measurement error can be either a known
 family, or can be estimated from a "pure error" sample. For known error
 distributions, the package supports Normal, Laplace or Beta distributed
 error. For unknown error distribution, a pure error sample independent from
 the data is used.

Package: r-cran-pmml
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 817
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-stringr
Suggests: r-cran-ada, r-cran-amap, r-cran-arules, r-cran-caret, r-cran-clue, r-cran-data.table, r-cran-forecast, r-cran-gbm, r-cran-glmnet, r-cran-matrix, r-cran-neighbr, r-cran-nnet, r-cran-rpart, r-cran-randomforest, r-cran-rattle, r-cran-kernlab, r-cran-e1071, r-cran-testthat, r-cran-survival, r-cran-xgboost, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pmml_2.5.2-1.ca2004.1_all.deb
Size: 639156
MD5sum: a99760125dc58ac075471475f72bc725
SHA1: 0a25c8521a9f834b678cc304776ea86a0d288cff
SHA256: f6f7d80b7fee4f8d5e0ecf6f74f9ff6f266a539b2de3708fc53c2cd752092e9a
SHA512: 7f29db82e712e456e4a74480ba6f6bc63515cdf12e203c0334d65d64e9103c66d75fd1ad4a4c13618d102e6879ce02082dfe4e73eca917b72b0343af9236c2db
Homepage: https://cran.r-project.org/package=pmml
Description: CRAN Package 'pmml' (Generate PMML for Various Models)
 The Predictive Model Markup Language (PMML) is an XML-based language which
 provides a way for applications to define machine learning, statistical and
 data mining models and to share models between PMML compliant applications.
 More information about the PMML industry standard and the Data Mining Group
 can be found at <http://dmg.org/>. The generated PMML can be imported into
 any PMML consuming application, such as Zementis Predictive Analytics
 products. The package isofor (used for anomaly detection) can be installed
 with devtools::install_github("gravesee/isofor").

Package: r-cran-pmmltransformations
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-pmml
Filename: pool/dists/focal/main/r-cran-pmmltransformations_1.3.3-1.ca2004.1_all.deb
Size: 115772
MD5sum: 1cbac6906ea17bffafe7755295388703
SHA1: e4348ddac7c150cd6384a7f38806a697b545d038
SHA256: 46022f889398ba9a2f49c4f121fdce6fa4d9cee56e08361a099094ee824d374d
SHA512: d07e6d6d5079f07da0a0d16514728aba7642cd9ba0fb5d756f8819f6c531f36b3c6638c15fe792d9a30f19f5ccdee7c7e05a502c009ffa8ec51f530303fc7816
Homepage: https://cran.r-project.org/package=pmmlTransformations
Description: CRAN Package 'pmmlTransformations' (Transforms Input Data from a PMML Perspective)
 Allows for data to be transformed before using it to construct models.
 Builds structures to allow functions in the PMML package to output
 transformation details in addition to the model in the resulting PMML file.
 The Predictive Model Markup Language (PMML) is an XML-based language which
 provides a way for applications to define machine learning, statistical and
 data mining models and to share models between PMML compliant applications.
 More information about the PMML industry standard and the Data Mining Group
 can be found at <http://www.dmg.org>. The generated PMML can be imported
 into any PMML consuming application, such as Zementis Predictive Analytics
 products, which integrate with web services, relational database systems and
 deploy natively on Hadoop in conjunction with Hive, Spark or Storm, as well
 as allow predictive analytics to be executed for IBM z Systems mainframe
 applications and real-time, streaming analytics platforms.

Package: r-cran-pmparser
Architecture: all
Version: 1.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-dbi, r-cran-foreach, r-cran-glue, r-cran-iterators, r-cran-jsonlite, r-cran-r.utils, r-cran-rcurl, r-cran-withr, r-cran-xml2
Suggests: r-cran-bigrquery, r-cran-doparallel, r-cran-rmariadb, r-cran-rpostgres, r-cran-rsqlite, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmparser_1.0.21-1.ca2004.1_all.deb
Size: 183656
MD5sum: 65ac20f11a0fe7ecafbb67a9a75c5265
SHA1: 52fb8b52028133d39a5b6786b5546df19de3ca63
SHA256: 20d7380dcb08272d8acf20b8feb3db649cf56f181608bb49602a0897fb5b1b37
SHA512: d4343852924ee9c7f38c2e98117cd11d785c4f59e2d689ff8f061c1fbd112c7c27c3e675d16a398b82df96cb7abfd9d14dbfc8169afb12ecd72575e56c1119fa
Homepage: https://cran.r-project.org/package=pmparser
Description: CRAN Package 'pmparser' (Create and Maintain a Relational Database of Data fromPubMed/MEDLINE)
 Provides a simple interface for extracting various elements from the
 publicly available PubMed XML files, incorporating PubMed's regular updates,
 and combining the data with the NIH Open Citation Collection. See
 Schoenbachler and Hughey (2021) <doi:10.7717/peerj.11071>.

Package: r-cran-pmr
Architecture: all
Version: 1.2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pmr_1.2.5.1-1.ca2004.1_all.deb
Size: 118432
MD5sum: 71cea13f3f01e2c911b2206d43d46c6b
SHA1: dfaa329619802f95a12f9f7dd2319a42ce2bcaa6
SHA256: 6f26309dce873d5a7e7079b04e67ef968c4b3a00a3e6387c0bc6b237161b02e8
SHA512: be36201a6cfde8c497f84cba6dc1981228b7a919689f64c899f8e399ed3b99a3c61c54331c3c2e297ae36620d5319194abc0c3d3c6664282d356d88da7b06db4
Homepage: https://cran.r-project.org/package=pmr
Description: CRAN Package 'pmr' (Probability Models for Ranking Data)
 Descriptive statistics (mean rank, pairwise frequencies, and marginal
 matrix), Analytic Hierarchy Process models (with Saaty's and Koczkodaj's
 inconsistencies), probability models (Luce models, distance-based models,
 and rank-ordered logit models) and visualization with multidimensional
 preference analysis for ranking data are provided. Current, only complete
 rankings are supported by this package.

Package: r-cran-pmsampsize
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pmsampsize_1.1.3-1.ca2004.1_all.deb
Size: 46092
MD5sum: 2fdc09fd602927f1815417de81692268
SHA1: 876233bae6fd34cf8add1019d63d6687cfbd1fe8
SHA256: 0a8e27375c72bb3ad98d1c4bd12ae4073c55b4da27859efdae8fb4f8c314018f
SHA512: 34d72ee15bbc6b2745add0c6dd4c72e466777dc49aa8cde3fef4a5c7dd9714468091dcd4c28e572879683a729a3aa31c72f2c52e2966d2733c5b3c5e4fe1d86a
Homepage: https://cran.r-project.org/package=pmsampsize
Description: CRAN Package 'pmsampsize' (Sample Size for Development of a Prediction Model)
 Computes the minimum sample size required for the development of a new
 multivariable prediction model using the criteria proposed by Riley et al.
 (2018) <doi: 10.1002/sim.7992>. pmsampsize can be used to calculate the
 minimum sample size for the development of models with continuous, binary or
 survival (time-to-event) outcomes. Riley et al. (2018) <doi:
 10.1002/sim.7992> lay out a series of criteria the sample size should meet.
 These aim to minimise the overfitting and to ensure precise estimation of
 key parameters in the prediction model.

Package: r-cran-pmultinom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fftw
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pmultinom_1.0.0-1.ca2004.1_all.deb
Size: 168532
MD5sum: bf165730fc8514373896f8990c4d808a
SHA1: 85705de624c78eb6e2001b2b902a58ac95753143
SHA256: ecce208d0572d11ee813b1da6488f44515514c1c94ef2a13453af34a67991aa0
SHA512: a852390263de395c50f68dedcc4d6338ce9dea2aac8a3dd644b0ff5645cfec9c6bfea42d70100087963f558b1b6bed18b661926ff2bd3d2880fbe15fd607508d
Homepage: https://cran.r-project.org/package=pmultinom
Description: CRAN Package 'pmultinom' (One-Sided Multinomial Probabilities)
 Implements multinomial CDF (P(N1<=n1, ..., Nk<=nk)) and tail probabilities
 (P(N1>n1, ..., Nk>nk)), as well as probabilities with both constraints
 (P(l1<N1<=u1, ..., lk<Nk<=uk)). Uses a method suggested by Bruce Levin
 (1981) <doi:10.1214/aos/1176345593>.

Package: r-cran-pmvalsampsize
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-proc
Filename: pool/dists/focal/main/r-cran-pmvalsampsize_0.1.0-1.ca2004.1_all.deb
Size: 36240
MD5sum: b745fb075dacea28f2f60b332941de96
SHA1: 6108c1b9a218e9566bb10a756ee26641bcb4c69d
SHA256: 0f45f490ff91f2314ec46eab5990cda96616c1aa994cc5559d391a5f824eb4da
SHA512: 10ee5ee2e79253ffa908a5783d2e0eda165c2eadb9f944be95d7b59e019ec9901f263b6bf77564fc8f0831cdd2b884cf1f47a44bd29eae4d026891059befb57b
Homepage: https://cran.r-project.org/package=pmvalsampsize
Description: CRAN Package 'pmvalsampsize' (Sample Size for External Validation of a Prediction Model)
 Computes the minimum sample size required for the external validation of an
 existing multivariable prediction model using the criteria proposed by
 Archer (2020) <doi:10.1002/sim.8766> and Riley (2021)
 <doi:10.1002/sim.9025>.

Package: r-cran-pmwg
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-coda, r-cran-condmvnorm, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-covr, r-cran-rtdists, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-v8
Filename: pool/dists/focal/main/r-cran-pmwg_0.2.7-1.ca2004.1_all.deb
Size: 535024
MD5sum: 3ffc55d7aec712eea012652e86f062f8
SHA1: b3fb31bf0594d19c548ad5055eae9b5fb7a85b90
SHA256: edcc6564c43de2b22bae110c3bf0b1fdaec6b29ad0c99e2e863263e87ee5da17
SHA512: bb4c8a8d7b57b7efbbdd5f8a210f2ef6af73a3ae279fd47fba7a5379741227b64607902f50a82fa283d3e4c3016240a206204dbf683ef4740a13689f4bed3938
Homepage: https://cran.r-project.org/package=pmwg
Description: CRAN Package 'pmwg' (Particle Metropolis Within Gibbs)
 Provides an R implementation of the Particle Metropolis within Gibbs sampler
 for model parameter, covariance matrix and random effect estimation. A more
 general implementation of the sampler based on the paper by Gunawan, D.,
 Hawkins, G. E., Tran, M. N., Kohn, R., & Brown, S. D.  (2020)
 <doi:10.1016/j.jmp.2020.102368>. An HTML tutorial document describing the
 package is available at
 <https://university-of-newcastle-research.github.io/samplerDoc/> and
 includes several detailed examples, some background and troubleshooting
 steps.

Package: r-cran-pmwr
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1565
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nmof, r-cran-datetimeutils, r-cran-fastmatch, r-cran-orgutils, r-cran-textutils, r-cran-zoo
Suggests: r-cran-crayon, r-cran-rbenchmark, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-pmwr_1.0-1-1.ca2004.1_all.deb
Size: 1299340
MD5sum: 853b381c7bb9e105addb1fc315819d1a
SHA1: 04d539b1843b6172d35888a9be4c6a8b95bf6667
SHA256: a595d600ecc197db67d6c2d46e0264b76a471a413f91b040e8ce40762375b367
SHA512: 37b3b24c22f2412f641e4d7408fe193e892540aad17d926a535dcdbcd366cd386fb7afffd8588c50d6802afbd26e1c50bcad132903db1d8c3b9a1da9d09622e2
Homepage: https://cran.r-project.org/package=PMwR
Description: CRAN Package 'PMwR' (Portfolio Management with R)
 Tools for the practical management of financial portfolios: backtesting
 investment and trading strategies, computing profit/loss and returns,
 analysing trades, handling lists of transactions, reporting, and more.  The
 package provides a small set of reliable, efficient and convenient tools for
 processing and analysing trade/portfolio data.  The manual provides all the
 details; it is available from
 <https://enricoschumann.net/R/packages/PMwR/manual/PMwR.html>.  Examples and
 descriptions of new features are provided at
 <https://enricoschumann.net/notes/PMwR/>.

Package: r-cran-pmxcode
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinybs, r-cran-bsicons, r-cran-bslib, r-cran-config, r-cran-dplyr, r-cran-flextable, r-cran-glue, r-cran-golem, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-markdown, r-cran-officer, r-cran-pillar, r-cran-rclipboard, r-cran-readr, r-cran-rhandsontable, r-cran-rlang, r-cran-shiny, r-cran-shinyace, r-cran-shinyfiles, r-cran-shinyjs, r-cran-tidyr, r-cran-xfun
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmxcode_0.3.0-1.ca2004.1_all.deb
Size: 854424
MD5sum: 2b770787087ca3557c0df80bf2e592bb
SHA1: 4a3fc23baf2dfb28ba9df2db92ad6130c942559f
SHA256: d17235626bdc661044d3bbe37e7f93d74ab0930d7563ad088e9bb4671070461b
SHA512: 94d47e549598c7df204bbd4edc63d480091f5e2b03fe82b9a630f6a98b6c0f18ae91b66e38da7874fc9c6422237d58b0e18706dd5c9b89a22ec9911e34406017
Homepage: https://cran.r-project.org/package=pmxcode
Description: CRAN Package 'pmxcode' (Create Pharmacometric Models)
 Provides a user interface to create or modify pharmacometric models for
 various modeling and simulation software platforms.

Package: r-cran-pmxcv
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pmxcv_0.0.1.0-1.ca2004.1_all.deb
Size: 27080
MD5sum: daa3299eba273a8da3146f40aa7bc408
SHA1: 30752776a0c6835bbf22e1851b19c1ce3a706f3a
SHA256: 15573aad6177f33c3eff5826e0b41cdfa4f6137057e9c184c764ba51f71edaf4
SHA512: 2e9ae843cb495732d55a5a97e6600015789914ef0bbf5ba0bb03c17c26ed1679b6212bddae1362aac8e92f05b6f11109833b2fa73bb1b85f9f27fc420f35dde3
Homepage: https://cran.r-project.org/package=pmxcv
Description: CRAN Package 'pmxcv' (Integration-Based Coefficients of Variance)
 Estimate coefficient of variance percent (CV%) for any arbitrary
 distribution, including some built-in estimates for commonly-used
 transformations in pharmacometrics. Methods are described in various
 sources, but applied here as summarized in: Prybylski, (2024)
 <doi:10.1007/s40262-023-01343-2>.

Package: r-cran-pmxpartab
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-table1, r-cran-data.table, r-cran-htmltools, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-yaml, r-cran-linpk, r-cran-survival
Filename: pool/dists/focal/main/r-cran-pmxpartab_0.5.0-1.ca2004.1_all.deb
Size: 92268
MD5sum: 9d2120ae71d83be2db1c53dbfe9d59a5
SHA1: c31b22335248234aaad050e2a46a6891d3d22479
SHA256: ad1b3258585308a71a790ac39d0909de940ac414639c1efc532b0e48d26e71c5
SHA512: 2a99c0437cef750dc688a66fbbf083c48b1bcdabf19480affe4a0fb146e83254634f362730d90ca1650ce98b12c7829142a52270d0fe0abc6c9aca1c8a33f903
Homepage: https://cran.r-project.org/package=pmxpartab
Description: CRAN Package 'pmxpartab' (Parameter Tables for PMx Analyses)
 Generate nicely formatted HTML tables to display estimation results for
 pharmacometric models.

Package: r-cran-pmxtools
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1257
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-patchwork, r-cran-ggplot2, r-cran-chron, r-cran-xml2, r-cran-dplyr, r-cran-tibble, r-cran-gghalves, r-cran-ggdist, r-cran-scales, r-cran-mass, r-cran-stringr, r-cran-pknca, r-cran-magrittr, r-cran-data.tree
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pmxtools_1.3-1.ca2004.1_all.deb
Size: 1012516
MD5sum: 81ed0f91ffea07c88cc12c50ac43008a
SHA1: a75aba5e5ebbc10a448b91f15f82bfe98e846c19
SHA256: 07f561516c0919fd12f0851c8f2644e4bb78f74d969f03c604fec78780a0fae9
SHA512: 3937fb2f82703bd2c1d3e0ec80ebfc6c2627948a054aa785a51faf4787c802ca3896fef1436aa7e9d2f52af20621c05cc4455f4e1e6f1d65436fdccaca1584fc
Homepage: https://cran.r-project.org/package=pmxTools
Description: CRAN Package 'pmxTools' (Pharmacometric and Pharmacokinetic Toolkit)
 Pharmacometric tools for common data analytical tasks; closed-form solutions
 for calculating concentrations at given times after dosing based on
 compartmental PK models (1-compartment, 2-compartment and 3-compartment,
 covering infusions, zero- and first-order absorption, and lag times, after
 single doses and at steady state, per Bertrand & Mentre (2008)
 <http://lixoft.com/wp-content/uploads/2016/03/PKPDlibrary.pdf>); parametric
 simulation from NONMEM-generated parameter estimates and other output; and
 parsing, tabulating and plotting results generated by Perl-speaks-NONMEM
 (PsN).

Package: r-cran-pnadcibge
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-survey, r-cran-tibble, r-cran-timedate
Suggests: r-cran-convey, r-cran-sipdibge, r-cran-srvyr
Filename: pool/dists/focal/main/r-cran-pnadcibge_0.7.5-1.ca2004.1_all.deb
Size: 196216
MD5sum: 01cc8cd16b028ab9323afc12e1235fc6
SHA1: 318f326a4c9b0b0a066a5b86d84c642f22f10277
SHA256: 81b6c045bbf12d8364118ab3d38f70d484383c332a238f0edf383f22fecd09fc
SHA512: feb26fe3485c03a3f90d6f900376cb60edb81acff4bb99899246c20233bc85b9124cab2320804a9953b541ec1091c457f570c6a06c6112d89c647939454d71fa
Homepage: https://cran.r-project.org/package=PNADcIBGE
Description: CRAN Package 'PNADcIBGE' (Downloading, Reading and Analyzing PNADC Microdata)
 Provides tools for downloading, reading and analyzing the Continuous
 National Household Sample Survey - PNADC, a household survey from Brazilian
 Institute of Geography and Statistics - IBGE. The data must be downloaded
 from the official website <https://www.ibge.gov.br/>. Further analysis must
 be made using package 'survey'.

Package: r-cran-pnar
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-igraph, r-cran-nloptr, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-pnar_1.7-1.ca2004.1_all.deb
Size: 272420
MD5sum: 76e326d46345a5fc52c37ab8c0153236
SHA1: 51b538f097d2965db1b9ba1cc714e3460cbac80d
SHA256: df54521b9afff92ef42ca9896de77bb9046ec235413dbed2f51b729e65342bf0
SHA512: e2bf96f3632ea24c889665dfd04c8b96f21d7d4dba9653341b479b6f70b4ed9bc7ce77e22de491138781f5ea5475057648b74eeb33daa45d8cae6c92e6fcde9e
Homepage: https://cran.r-project.org/package=PNAR
Description: CRAN Package 'PNAR' (Poisson Network Autoregressive Models)
 Quasi likelihood-based methods for estimating linear and log-linear Poisson
 Network Autoregression models with p lags and covariates. Tools for testing
 the linearity versus several non-linear alternatives. Tools for simulation
 of multivariate count distributions, from linear and non-linear PNAR models,
 by using a specific copula construction. References include: Armillotta, M.
 and K. Fokianos (2023). "Nonlinear network autoregression". Annals of
 Statistics, 51(6): 2526--2552. <doi:10.1214/23-AOS2345>. Armillotta, M. and
 K. Fokianos (2024). "Count network autoregression". Journal of Time Series
 Analysis, 45(4): 584--612. <doi:10.1111/jtsa.12728>. Armillotta, M.,
 Tsagris, M. and Fokianos, K. (2024). "Inference for Network Count Time
 Series with the R Package PNAR". The R Journal, 15/4: 255--269.
 <doi:10.32614/RJ-2023-094>.

Package: r-cran-pnd.heter.cluster
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-superlearner, r-cran-ranger, r-cran-xgboost, r-cran-nnet, r-cran-origami, r-cran-boot, r-cran-tidyverse, r-cran-dplyr, r-cran-purrr, r-cran-magrittr, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pnd.heter.cluster_0.1.0-1.ca2004.1_all.deb
Size: 97240
MD5sum: 2e6db7a4fc929a07e8baa7f7f73c3ac9
SHA1: 0fc6a5fb2b5f7dbff8ea484a754de5c22b336217
SHA256: 58ada72a0389d050629dce2062f2870b8382540cf3cf8f56bfd4cd726de69397
SHA512: 8fa1a537b5ba37221e6cfef8045c8a3a2097b1aec9cf3d3d51f66d711fcd7648e8e401e607e65380f82d02f2e88419945365391e83234524bc472b3ebbbd95a6
Homepage: https://cran.r-project.org/package=PND.heter.cluster
Description: CRAN Package 'PND.heter.cluster' (Estimating the Cluster Specific Treatment Effects in PartiallyNested Designs)
 Implements the methods for assessing heterogeneous cluster-specific
 treatment effects in partially nested designs as described in Liu (2024)
 <doi:10.1037/met0000723>. The estimation uses the multiply robust method,
 allowing for the use of machine learning methods in model estimation (e.g.,
 random forest, neural network, and the super learner ensemble).  Partially
 nested designs (also known as partially clustered designs) are designs where
 individuals in the treatment arm are assigned to clusters (e.g., teachers,
 tutoring groups, therapists), whereas individuals in the control arm have no
 such clustering.

Package: r-cran-pnd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 926
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack
Suggests: r-cran-numderiv, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pnd_0.1.0-1.ca2004.1_all.deb
Size: 439952
MD5sum: 0ccb8a1497a8ffb932bf633986149cfc
SHA1: 5a2e467c636d49be0368f691800c4fcda8aac408
SHA256: 974215228bdae8df71876e12e60ceb81d1d53ada61ccd0cb7fee6061b4750a41
SHA512: c21972709688b1a59f2197f2e40451f7107a58bbf7285a579bcedd1b554f2cb55cef7285c93fa387ffb7f95f21acc76497fee6ecfebc4f8543efa2b177cb1c4f
Homepage: https://cran.r-project.org/package=pnd
Description: CRAN Package 'pnd' (Parallel Numerical Derivatives, Gradients, Jacobians, andHessians of Arbitrary Accuracy Order)
 Numerical derivatives through finite-difference approximations can be
 calculated using the 'pnd' package with parallel capabilities and optimal
 step-size selection to improve accuracy. These functions facilitate
 efficient computation of derivatives, gradients, Jacobians, and Hessians,
 allowing for more evaluations to reduce the mathematical and machine errors.
 Designed for compatibility with the 'numDeriv' package, which has not
 received updates in several years, it introduces advanced features such as
 computing derivatives of arbitrary order, improving the accuracy of Hessian
 approximations by avoiding repeated differencing, and parallelising slow
 functions on Windows, Mac, and Linux.

Package: r-cran-pndsibge
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1435
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-survey, r-cran-tibble, r-cran-timedate
Suggests: r-cran-convey, r-cran-sipdibge, r-cran-srvyr
Filename: pool/dists/focal/main/r-cran-pndsibge_0.1.1-1.ca2004.1_all.deb
Size: 201412
MD5sum: 626f8a19daed653f33f36d138b1dc329
SHA1: 9f8f084085f8e2561c18dfdcb8efdb242fbc1c0b
SHA256: 80a2753866e777869f598322d58f06be742eb1fda5dcf180728adb1aa3d8a382
SHA512: 9d9b743ffe3016ac3375ba5014877ea64b8d053f6ce3c822023cdf8d83c7b98a6b1cfb13fb8e409b8524d4f96695ab37aaf2357746ff7ffa9426b284cc0cc216
Homepage: https://cran.r-project.org/package=PNDSIBGE
Description: CRAN Package 'PNDSIBGE' (Downloading, Reading and Analyzing PNDS Microdata - Package inDevelopment)
 Provides tools for downloading, reading and analyzing the National Survey of
 Demographic and Health - PNDS, a household survey from Brazilian Institute
 of Geography and Statistics - IBGE. The data must be downloaded from the
 official website <https://www.ibge.gov.br/>. Further analysis must be made
 using package 'survey'.

Package: r-cran-pnmtrem
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pnmtrem_1.3-1.ca2004.1_all.deb
Size: 79808
MD5sum: 352522dae1666e91dfc13ab86fa72ee9
SHA1: aa7a640b4bf2d5d1ad78cfd84409da61e910c45a
SHA256: 3192c3e9f9684a6f13e1008c034eab2be992d39b6eef7d851fbda6616e431c6b
SHA512: d6a889d6a8fb34897286dada7325af243c59fb86000c7df85fb006ccc32e1814337ee2a64530daf34171f96d58f5a9463698905e16fce0ea3ac9411eb9918dc9
Homepage: https://cran.r-project.org/package=pnmtrem
Description: CRAN Package 'pnmtrem' (Probit-Normal Marginalized Transition Random Effects Models)
 An R package for Probit-Normal Marginalized Transition Random Effects Models

Package: r-cran-pnsibge
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1436
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-survey, r-cran-tibble, r-cran-timedate
Suggests: r-cran-convey, r-cran-sipdibge, r-cran-srvyr
Filename: pool/dists/focal/main/r-cran-pnsibge_0.2.1-1.ca2004.1_all.deb
Size: 201024
MD5sum: 566a0ed2d32048ebe2c305269a252c1a
SHA1: a1c4dca692947e27e032e0692173a5afb3575111
SHA256: ddf0360f83a205f14c9d70d5c6fb463282f330391c52a2a256d506dd7211af5a
SHA512: c462b383115ff41f186a4891aa08668ab30c8d3d37b1c49c3c789473447e3768382c696ba022d1432c314c02f4e312c0af1a5ddafe02524e4b87444b26abf00e
Homepage: https://cran.r-project.org/package=PNSIBGE
Description: CRAN Package 'PNSIBGE' (Downloading, Reading and Analyzing PNS Microdata)
 Provides tools for downloading, reading and analyzing the National Survey of
 Health - PNS, a household survey from Brazilian Institute of Geography and
 Statistics - IBGE. The data must be downloaded from the official website
 <https://www.ibge.gov.br/>. Further analysis must be made using package
 'survey'.

Package: r-cran-pnwcolors
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pnwcolors_0.1.0-1.ca2004.1_all.deb
Size: 14548
MD5sum: a624e151c4a37bd5e7602d4580279670
SHA1: 03e661e9e5aec17550c769b46a81ffcfb59c72f2
SHA256: 7ddd4b9a22e376ef2c17c4d79b7906d9d291903c42f45e9464cfb40b2421dca7
SHA512: d227e746cdfc6481427d0660a84c5ed02ca854ea75652662b24ef43c4879de87a11844847b84c5fde09194106093bb131689bce4ed456817682f4838733d93c1
Homepage: https://cran.r-project.org/package=PNWColors
Description: CRAN Package 'PNWColors' (Color Palettes Inspired by Nature in the US Pacific Northwest)
 PNW-Inspired Palettes for 'R' data visualizations. Palettes are variable in
 length and checked for colorblind accessibility from hue, saturation, and
 lightness value scaling using the 'Chroma.js Color Palette Helper'
 <https://gka.github.io/palettes/>.

Package: r-cran-poa
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-pracma, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-poa_1.2.1-1.ca2004.1_all.deb
Size: 18940
MD5sum: cef396b37f526de71f629bb199e76cbf
SHA1: 64b4be8aba7ca1edd910b0e949902a3389120ae6
SHA256: e4caf11893fbf41fe3dbd6733ce17665919f203789505deec02be91678b9ce76
SHA512: 57419a1fe2d958ad2415540db4b4d261c0f234e878ae758be414f195e7557003e15ae3162bcfffe0fec906f48430b262e8d5e1f24dc7c3cbfcc14a0f1e496756
Homepage: https://cran.r-project.org/package=PoA
Description: CRAN Package 'PoA' (Finds the Price of Anarchy for Routing Games)
 Computes the optimal flow, Nash flow and the Price of Anarchy for any
 routing game defined within the game theoretical framework. The input is a
 routing game in the form of it’s cost and flow functions. Then transforms
 this into an optimisation problem, allowing both Nash and Optimal flows to
 be solved by nonlinear optimisation. See
 <https://en.wikipedia.org/wiki/Congestion_game> and Knight and Harper (2013)
 <doi:10.1016/j.ejor.2013.04.003> for more information.

Package: r-cran-pocketapi
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-glue, r-cran-jsonlite, r-cran-magrittr, r-cran-usethis
Suggests: r-cran-testthat, r-cran-mockery, r-cran-covr, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pocketapi_0.1-1.ca2004.1_all.deb
Size: 108892
MD5sum: 31719fb3ad5545057d1c667f24c1783b
SHA1: 02a466bb5dc9b64deb0abc54007f3b9108099737
SHA256: b16d1d4540cd3c7fa186cd530e6e747dbe28ea01f072ffb41d64041a86a55d38
SHA512: 53db16d3e4969fed4e4f78004739a9c64c1fceadf5d4a85dd86a910472dd71d39cce01907fdf460479e2394e8fe4f1bc484ddcecebd54f0769c00b02939b4956
Homepage: https://cran.r-project.org/package=pocketapi
Description: CRAN Package 'pocketapi' (Wrapper Around the 'Pocket' API)
 Functions that interface with the 'Pocket' API
 (<https://getpocket.com/developer/>). Allows the user to get, add, and
 modify items in their own 'Pocket' account.

Package: r-cran-pocre
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2503
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-pracma, r-cran-ebayesthresh
Filename: pool/dists/focal/main/r-cran-pocre_0.6.0-1.ca2004.1_all.deb
Size: 2525512
MD5sum: be526dacb74d79ff8e69a53d3ae94238
SHA1: 643dcadd345bb15338de9d86188ddc8d49314b51
SHA256: bbdc07d9b8b4513e640efbdef7f94539cca372b55e76475a422c063224a37d49
SHA512: dcc911e6fc086689b81588e65158bf85663d55110e433720d62b7f3f8b3925f91ec100df2c2b98ac80bf10686cb25eb45b4f4f5fc7d0d56c9d52532fdc6abb96
Homepage: https://cran.r-project.org/package=POCRE
Description: CRAN Package 'POCRE' (Penalized Orthogonal-Components Regression)
 Penalized orthogonal-components regression (POCRE) is a supervised dimension
 reduction method for high-dimensional data. It sequentially constructs
 orthogonal components (with selected features) which are maximally
 correlated to the response residuals. POCRE can also construct common
 components for multiple responses and thus build up latent-variable models.

Package: r-cran-pocrm
Architecture: all
Version: 0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dfcrm, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-pocrm_0.13-1.ca2004.1_all.deb
Size: 34456
MD5sum: f917beebc59aac2fe4157fba603061c2
SHA1: c95d2bacf3a410fbbfffe0ecda06d7ccb64ee81e
SHA256: 4ab1075c6c638c01063ec8c1ced5cc661004dee195602b467c7bc2b16d1d3d3a
SHA512: 79972d6d97991e442d7eb2aeef0a43976e0ef597d5385a21807d483870a0dd61dd79866d74be86000a81e25fd3e51d62bdd6792a4125b8c5c43a2b148a49259d
Homepage: https://cran.r-project.org/package=pocrm
Description: CRAN Package 'pocrm' (Dose Finding in Drug Combination Phase I Trials Using PO-CRM)
 Provides functions to implement and simulate the partial order continual
 reassessment method (PO-CRM) of Wages, Conaway and O'Quigley (2011)
 <doi:10.1177/1740774511408748> for use in Phase I trials of combinations of
 agents. Provides a function for generating a set of initial guesses
 (skeleton) for the toxicity probabilities at each combination that
 correspond to the set of possible orderings of the toxicity probabilities
 specified by the user.

Package: r-cran-pod
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pod_1.2.0-1.ca2004.1_all.deb
Size: 170876
MD5sum: 901cf3b05178f733dfb4efae3fb7947a
SHA1: 9ff9c1318dc8def098699725cd6cea7e6f0b3cc8
SHA256: 3c62e5aa1e81421dbac9694112b3188e80c9c2b40edb0a98a9e66b536f2163dd
SHA512: 223fad50a5e6af9381d618e62febf4c5cc26dd76de1715288afebac6c97ca8e092d8e265b5823fd7ccb94f80fa87c22450b381bd1e5fc5482e842d0112f728d5
Homepage: https://cran.r-project.org/package=POD
Description: CRAN Package 'POD' (Probability of Detection for Qualitative PCR Methods)
 This tool computes the probability of detection (POD) curve and the limit of
 detection (LOD), i.e. the number of copies of the target DNA sequence
 required to ensure a 95 % probability of detection (LOD95). Other quantiles
 of the LOD can be specified.  This is a reimplementation of the
 mathematical-statistical modelling of the validation of qualitative
 polymerase chain reaction (PCR) methods within a single laboratory as
 provided by the commercial tool 'PROLab' <http://quodata.de/>. The modelling
 itself has been described by Uhlig et al. (2015)
 <doi:10.1007/s00769-015-1112-9>.

Package: r-cran-podcleaner
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-magrittr, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-podcleaner_0.1.2-1.ca2004.1_all.deb
Size: 256764
MD5sum: 36d6680a6823499d69fb5e2a3e7c3f07
SHA1: b167ae77455616d273809b64bfec44d979c7102e
SHA256: 820c4687ac52d87accfef45cf3d6e6971386562fb588b780e2975a2f33d1ff60
SHA512: 715402da923c1a3085ad95f15e35dc374837c1bee187e8ba1d0bdfd61a99a2a9332527a35f74d4e2b94cd7f656d7134bfef27ad81f3a626deb05745169aa9013
Homepage: https://cran.r-project.org/package=podcleaner
Description: CRAN Package 'podcleaner' (Legacy Scottish Post Office Directories Cleaner)
 Attempts to clean optical character recognition (OCR) errors in legacy
 Scottish Post Office Directories. Further attempts to match records from
 trades and general directories.

Package: r-cran-podes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-podes_0.1.0-1.ca2004.1_all.deb
Size: 206956
MD5sum: c370ce17791c30817b5dd526d28f967b
SHA1: 094b2fcc38c092819d726b0c202af345b62ee0bd
SHA256: e361cc87807ffe48315cbe3721613ea589deb50e4d9e90393d48fbf3ec5ce6ef
SHA512: 582be889705dd835f9134ebb11885de4e89123dc0117333946356cb13347f85bab345bc3bfb4f1b6ea0dab26333ab8e8c77269fb489d4ccc9d44dbd58ea05746
Homepage: https://cran.r-project.org/package=PODES
Description: CRAN Package 'PODES' (Village Potential Statistics of Indonesia)
 Village potential statistics (PODES) collects various information on village
 potential and challenges faced by villages in Indonesia. Information related
 to village potential includes economy, security, health, employment,
 communication and information, sports, entertainment, development, community
 empowerment, education, socio-culture, transportation in the village.
 Information related to challenges includes natural disasters, public health,
 environmental pollution, social problems and security disturbances that
 occur in the village.

Package: r-cran-poems
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4231
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abc, r-cran-doparallel, r-cran-foreach, r-cran-fossil, r-cran-lhs, r-cran-metrology, r-cran-r6, r-cran-raster, r-cran-trend, r-cran-truncnorm, r-cran-gdistance, r-cran-qs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-scales, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poems_1.3.3-1.ca2004.1_all.deb
Size: 3699244
MD5sum: 5b22f9a5a477e26b1fe0a93f48441ca5
SHA1: 6728a18dd93ea91fcf5e4163167a47adc57697e9
SHA256: 3e0b375a3a25bfb1ee65aa3a44940acc7a091ed27eafbad5c2a9387c153b8abf
SHA512: ee7e34d804b15275a874469cfcd7ae3ff9a4cd749289129bf97bfecf89fd89bd24b2ab52f184ad9b897b8011e849630481dbd9a8f7e07537551e7988847e6612
Homepage: https://cran.r-project.org/package=poems
Description: CRAN Package 'poems' (Pattern-Oriented Ensemble Modeling System)
 A framework of interoperable R6 classes (Chang, 2020,
 <https://CRAN.R-project.org/package=R6>) for building ensembles of viable
 models via the pattern-oriented modeling (POM) approach (Grimm et al.,2005,
 <doi:10.1126/science.1116681>). The package includes classes for
 encapsulating and generating model parameters, and managing the POM
 workflow. The workflow includes: model setup; generating model parameters
 via Latin hyper-cube sampling (Iman & Conover, 1980,
 <doi:10.1080/03610928008827996>); running multiple sampled model
 simulations; collating summary results; and validating and selecting an
 ensemble of models that best match known patterns. By default, model
 validation and selection utilizes an approximate Bayesian computation (ABC)
 approach (Beaumont et al., 2002, <doi:10.1093/genetics/162.4.2025>),
 although alternative user-defined functionality could be employed. The
 package includes a spatially explicit demographic population model
 simulation engine, which incorporates default functionality for density
 dependence, correlated environmental stochasticity, stage-based transitions,
 and distance-based dispersal. The user may customize the simulator by
 defining functionality for translocations, harvesting, mortality, and other
 processes, as well as defining the sequence order for the simulator
 processes. The framework could also be adapted for use with other model
 simulators by utilizing its extendable (inheritable) base classes.

Package: r-cran-poet
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poet_2.0-1.ca2004.1_all.deb
Size: 30444
MD5sum: 5dc5b2bfbd042bae84c23e133ea5b9f3
SHA1: 56e75d79ec81561f23b33fca9c456632af9a5191
SHA256: 97bffe38bc9208879cf4ac098e53a57894beafd9ddcf1044c6907521d51fc1a3
SHA512: 456fe32222aa93acea9d57791c8cb6c1851aeaf06f175ebba32f05aa526e0bba0d86988fea63850a4001ae6b5667226f8cc23c38f07f2276e6a0ee31a80cc8d5
Homepage: https://cran.r-project.org/package=POET
Description: CRAN Package 'POET' (Principal Orthogonal ComplEment Thresholding (POET) Method)
 Estimate large covariance matrices in approximate factor models by
 thresholding principal orthogonal complements.

Package: r-cran-pofibge
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-survey, r-cran-tibble, r-cran-timedate
Suggests: r-cran-convey, r-cran-lavaan.survey, r-cran-srvyr, r-cran-surf, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-pofibge_0.1.6-1.ca2004.1_all.deb
Size: 188476
MD5sum: 5733995660e98f53fbfb1df4db215f22
SHA1: e8c083e24fdc1f531720f3349919987aeaff636c
SHA256: 33d3b3c11060721832b49358477b5f01a8ae70dda4023fc49ac59c7e91c67ab6
SHA512: ddeb0b6941ca3869d27af5471efdede45f7b2aecc2c526281f307c007d1ee285a2747fa68198664ea775478fec975250fb32ac7b3eaccc40abe4ccc9e796aa84
Homepage: https://cran.r-project.org/package=POFIBGE
Description: CRAN Package 'POFIBGE' (Downloading, Reading and Analyzing POF Microdata - Package inDevelopment)
 Provides tools for downloading, reading and analyzing the POF, a household
 survey from Brazilian Institute of Geography and Statistics - IBGE.  The
 data must be downloaded from the official website
 <https://www.ibge.gov.br/>.  Further analysis must be made using package
 'survey'.

Package: r-cran-pogit
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-logistf, r-cran-plyr
Suggests: r-cran-count
Filename: pool/dists/focal/main/r-cran-pogit_1.3.0-1.ca2004.1_all.deb
Size: 335556
MD5sum: b7d4edd39f046a04fa22d7850f457c0a
SHA1: b9f8331ba5dcac94d2f9b8bb687e0295d7bca398
SHA256: e217af6bbc9ce1c801ecf59bca5ebb39a119a32642423d8861b2bf71a2bf4dfb
SHA512: b093198ae4492bdef5d4136214942e3b290dee2f556427ec999593682709dbf628bd08c4d7cf3a93d78242ea4c4e3aaec069f62e890dcd84c866fe8d953c4bb6
Homepage: https://cran.r-project.org/package=pogit
Description: CRAN Package 'pogit' (Bayesian Variable Selection for a Poisson-Logistic Model)
 Bayesian variable selection for regression models of under-reported count
 data as well as for (overdispersed) Poisson, negative binomal and binomial
 logit regression models using spike and slab priors.

Package: r-cran-pogromcydanych
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4140
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-smarterpoland
Filename: pool/dists/focal/main/r-cran-pogromcydanych_1.7.1-1.ca2004.1_all.deb
Size: 4204284
MD5sum: 858882da7cef4a1688925269f3067ecf
SHA1: 9fcf69725d5434aa0067eb6d07edbb632eb7a327
SHA256: 4181dc94dbe8435b082f13587718b3bc46c0edff9d87478e850970d68f2bbc00
SHA512: 4e0b4bb4142e2b8d7a6444c8e756a1c34b0836f0e00fbafbf03806181ec3dcce854c53ca1e3e2950503444143fb08572e9ce8dc5fc93801fa23a07a58e790147
Homepage: https://cran.r-project.org/package=PogromcyDanych
Description: CRAN Package 'PogromcyDanych' (DataCrunchers (PogromcyDanych) is the Massive Online Open Coursethat Brings R and Statistics to the People)
 The data sets used in the online course ,,PogromcyDanych''. You can process
 data in many ways. The course Data Crunchers will introduce you to this
 variety. For this reason we will work on datasets of different size (from
 several to several hundred thousand rows), with various level of complexity
 (from two to two thousand columns) and prepared in different formats (text
 data, quantitative data and qualitative data). All of these data sets were
 gathered in a single big package called PogromcyDanych to facilitate access
 to them. It contains all sorts of data sets such as data about offer prices
 of cars, results of opinion polls, information about changes in stock market
 indices, data about names given to newborn babies, ski jumping results or
 information about outcomes of breast cancer patients treatment.

Package: r-cran-poiclaclu
Architecture: all
Version: 1.0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poiclaclu_1.0.2.1-1.ca2004.1_all.deb
Size: 61860
MD5sum: 4bb5663c732dde007a42f971282ca1dc
SHA1: 73ce35e38fda2d461ecf8aeef249132cfa29b1fe
SHA256: bc09d144782faaaaf0123a62b1c1e976b6166068df7adcb2b6679325c206595d
SHA512: 8293afb3221ff7a58b769e5f7f61a52efa149de071a4eb8dc33ff807917329d21df9df7736d13c88a7d8c08c2c5d4754adc164c19cf78065586357a37b50f126
Homepage: https://cran.r-project.org/package=PoiClaClu
Description: CRAN Package 'PoiClaClu' (Classification and Clustering of Sequencing Data Based on aPoisson Model)
 Implements the methods described in the paper, Witten (2011) Classification
 and Clustering of Sequencing Data using a Poisson Model, Annals of Applied
 Statistics 5(4) 2493-2518.

Package: r-cran-point
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rarpack, r-cran-matrix, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-point_1.4-1.ca2004.1_all.deb
Size: 59360
MD5sum: d5664d9b6e5aa3c0164769b1cda2a5c0
SHA1: 343d2fdfbd11a35597a63340f79549681da63a85
SHA256: 3e1f6d44e2abe0a37672f23a75a88f1d163f9b405f8b17b4a1cb1f08a052f924
SHA512: 79973e65a7b59d9fa64e8ee503725a202ec82f69b025370e8235fd7441431ac1dd74370c1175051ab41205706936ce89e76bd6c7393ff2fa349939cc920532b8
Homepage: https://cran.r-project.org/package=POINT
Description: CRAN Package 'POINT' (Protein Structure Guided Local Test)
 Provides an implementation of a rare variant association test that utilizes
 protein tertiary structure to increase signal and to identify likely causal
 variants. Performs structure-guided collapsing, which leads to local tests
 that borrow information from neighboring variants on a protein and that
 provide association information on a variant-specific level. For details of
 the implemented method see West, R. M., Lu, W., Rotroff, D. M., Kuenemann,
 M., Chang, S-M., Wagner M. J., Buse, J. B., Motsinger-Reif, A., Fourches,
 D., and Tzeng, J-Y. (2019) <doi:10.1371/journal.pcbi.1006722>.

Package: r-cran-pointblank
Architecture: all
Version: 0.12.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3671
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-blastula, r-cran-cli, r-cran-dbi, r-cran-digest, r-cran-dplyr, r-cran-dbplyr, r-cran-fs, r-cran-glue, r-cran-gt, r-cran-htmltools, r-cran-knitr, r-cran-rlang, r-cran-magrittr, r-cran-scales, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-yaml
Suggests: r-cran-arrow, r-cran-bigrquery, r-cran-data.table, r-cran-duckdb, r-cran-ggforce, r-cran-ggplot2, r-cran-jsonlite, r-cran-log4r, r-cran-lubridate, r-cran-rsqlite, r-cran-rmysql, r-cran-rpostgres, r-cran-readr, r-cran-rmarkdown, r-cran-sparklyr, r-cran-dittodb, r-cran-odbc
Filename: pool/dists/focal/main/r-cran-pointblank_0.12.2-1.ca2004.1_all.deb
Size: 2864444
MD5sum: 4c9577e07ac63fe532b3e9da797eca5f
SHA1: b58d33a619635b8cf0d9be347a873edb4543d208
SHA256: 3197beb38b95065f86f3d8bdf290deec7683dd8b4bc83ae4e9f15ca4a690a576
SHA512: a7686a89335a832504a03a3ce14fc978cba3edb9219efa7bd47f9260758fcde9b1c8f4af392a80e0eb88dbe5bd4a2f3396bb38684f09d0939f7bbd296e4a90b1
Homepage: https://cran.r-project.org/package=pointblank
Description: CRAN Package 'pointblank' (Data Validation and Organization of Metadata for Local andRemote Tables)
 Validate data in data frames, 'tibble' objects, 'Spark' 'DataFrames', and
 database tables. Validation pipelines can be made using easily-readable,
 consecutive validation steps. Upon execution of the validation plan, several
 reporting options are available. User-defined thresholds for failure rates
 allow for the determination of appropriate reporting actions. Many other
 workflows are available including an information management workflow, where
 the aim is to record, collect, and generate useful information on data
 tables.

Package: r-cran-pointdensityp
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3476
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-pointdensityp_0.3.5-1.ca2004.1_all.deb
Size: 3382000
MD5sum: bc79d202535f8c7bb0efc00c2fa56ae9
SHA1: 779c82b6e93db9859f9b8e953d1ac42a9b55aeed
SHA256: 1f8bf5dc2f9f8dcf96f7aef10045830652834994ad7d25afae894cb4ad400e6b
SHA512: ba0d0d3c8a5f7fd19ef73553c1ef0d3f4fb34d78e7ec2e52cb477c2f57e8caad8058e1920847e52a03ddef6e1ce80f46fbb1eb775314cf7764200f3bc77622c5
Homepage: https://cran.r-project.org/package=pointdensityP
Description: CRAN Package 'pointdensityP' (Point Density for Geospatial Data)
 The function pointdensity returns a density count and the temporal average
 for every point in the original list. The dataframe returned includes four
 columns: lat, lon, count, and date_avg. The "lat" column is the original
 latitude data; the "lon" column is the original longitude data; the "count"
 is the density count of the number of points within a radius of
 radius*grid_size (the neighborhood); and the date_avg column includes the
 average date of each point in the neighborhood.

Package: r-cran-pointedsdms
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-inlabru, r-cran-r6, r-cran-terra, r-cran-ggplot2, r-cran-fmesher, r-cran-raster, r-cran-sp, r-cran-r.devices, r-cran-blockcv, r-cran-fnn
Suggests: r-cran-testthat, r-cran-sn, r-cran-rastervis, r-cran-ggmap, r-cran-rcolorbrewer, r-cran-cowplot, r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-spocc, r-cran-covr
Filename: pool/dists/focal/main/r-cran-pointedsdms_2.1.3-1.ca2004.1_all.deb
Size: 1975916
MD5sum: 3d05f48cfe5ae1964eb834f9abf48ff4
SHA1: 90e1d9c1c72cd8cb738e2d94b2902ccafb3ba744
SHA256: 8232b18f6870d3ee1070d4eb843f63cf0449a1c308a1ae46f8198ebceecd329b
SHA512: cd7c0283ceb4e05ddd802f7d07d5560b8439243fd060ce56c32041805cf9e55217239c8571f62ac4565038f2d0d447a6c5bff0fa565a2a15844c3a74bd8cd24f
Homepage: https://cran.r-project.org/package=PointedSDMs
Description: CRAN Package 'PointedSDMs' (Fit Models Derived from Point Processes to Species Distributionsusing 'inlabru')
 Integrated species distribution modeling is a rising field in quantitative
 ecology thanks to significant rises in the quantity of data available,
 increases in computational speed and the proven benefits of using such
 models.  Despite this, the general software to help ecologists construct
 such models in an easy-to-use framework is lacking.  We therefore introduce
 the R package 'PointedSDMs': which provides the tools to help ecologists set
 up integrated models and perform inference on them.  There are also
 functions within the package to help run spatial cross-validation for model
 selection, as well as generic plotting and predicting functions.  An
 introduction to these methods is discussed in Issac, Jarzyna, Keil, Dambly,
 Boersch-Supan, Browning, Freeman, Golding, Guillera-Arroita, Henrys, Jarvis,
 Lahoz-Monfort, Pagel, Pescott, Schmucki, Simmonds and O’Hara (2020)
 <doi:10.1016/j.tree.2019.08.006>.

Package: r-cran-pointfore
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gmm, r-cran-boot, r-cran-car, r-cran-ggplot2, r-cran-mass, r-cran-lubridate, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-pointfore_0.2.0-1.ca2004.1_all.deb
Size: 161632
MD5sum: 7f81ef53c0dcc24b58a0ff057ef3cbc7
SHA1: b9fe3fb427317331e7048449a25a5fe4321b9441
SHA256: 24bf19c85d63c41c7f1182f1db04628350457487e1b05099c5ad7985006bb132
SHA512: b83b4c13bd7338abb0cf4ef1672b02220eb1d61e3d6bb4a2679c3ce7c114f49e2bd61535107f2941e2db7538ff4af5a9dd8ee3cfebdd6d987814bb3225f5b00a
Homepage: https://cran.r-project.org/package=PointFore
Description: CRAN Package 'PointFore' (Interpretation of Point Forecasts as State-Dependent Quantilesand Expectiles)
 Estimate specification models for the state-dependent level of an optimal
 quantile/expectile forecast.  Wald Tests and the test of overidentifying
 restrictions are implemented. Plotting of the estimated specification model
 is possible.  The package contains two data sets with forecasts and
 realizations: the daily accumulated precipitation at London, UK from the
 high-resolution model of the European Centre for Medium-Range Weather
 Forecasts (ECMWF, <https://www.ecmwf.int/>) and GDP growth Greenbook data by
 the US Federal Reserve.  See Schmidt, Katzfuss and Gneiting (2015)
 <arXiv:1506.01917> for more details on the identification and estimation of
 a directive behind a point forecast.

Package: r-cran-pointr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-pointr_0.2.0-1.ca2004.1_all.deb
Size: 16252
MD5sum: b0d9ae1a7171e08ce9d0853448587e57
SHA1: 10b008df546d411288b69ae749cbe73e4723bd9c
SHA256: 3f72360530c8289e65fa125755661bc6e27e53407e0aa986dcda1894cb9d0a31
SHA512: 76176f63090f3730206e78951239bf21ee4d6c1a0225e0ae645d2b4c1f211ccf57153aabb6de649c39c06308150368f2e26c6188e790345e3e46e752256bc98c
Homepage: https://cran.r-project.org/package=pointr
Description: CRAN Package 'pointr' (Working Comfortably with Pointers and Shortcuts to R Objects)
 R has no built-in pointer functionality. The 'pointr' package fills this gap
 and lets you create pointers to R objects, including subsets of dataframes.
 This makes your R code more readable and maintainable.

Package: r-cran-pointres
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1167
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplr, r-cran-plyr, r-cran-tripler, r-cran-desctools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pointres_2.0.2-1.ca2004.1_all.deb
Size: 748604
MD5sum: 4c205d9c0dcadd0380835b32f94c5462
SHA1: aaca28364231fab8d81cfedc3cb3e2c97bf29268
SHA256: 4003efffacd00fc213251ddc3fe03cb9d25593a1988317b8c7257277d3696126
SHA512: 0ebb10b222eb2820a847fdf51284330f44998cba23b89ae5b49d8f749dbdd68136842644762911292ed5c7cd226eafde4caac4f7bc363be2ae72f9749a56d70d
Homepage: https://cran.r-project.org/package=pointRes
Description: CRAN Package 'pointRes' (Analyzing Pointer Years and Components of Resilience)
 Functions to calculate and plot event and pointer years as well as
 resilience indices. Designed for dendroecological applications, but also
 suitable to analyze patterns in other ecological time series.

Package: r-cran-poio
Architecture: all
Version: 0.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.properties, r-cran-assertive.types, r-cran-assertive.files, r-cran-assertive.sets, r-cran-assertive.strings, r-cran-devtools, r-cran-digest, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-stringi, r-cran-tibble, r-cran-whoami
Suggests: r-cran-testthat, r-cran-rebus.datetimes
Filename: pool/dists/focal/main/r-cran-poio_0.0-4-1.ca2004.1_all.deb
Size: 121124
MD5sum: 67d20ba76c20d4ae8acadd779f428d56
SHA1: e39f3cabf1bdd0b9407bc319fff8d877ee472399
SHA256: 6a4dcbcd09a401cc9fd6f2137e624e8643ddda29db37508005b815a3a99191b1
SHA512: a6dfaf1c5953cf045789ad9e99db3edbc1a47681867fe65006d3d4d7ed5b9af8d424825e631fac9b1ef43540a7adc9b537ac2ffbcbd5e9cd7a8fd2e48fbf3d2d
Homepage: https://cran.r-project.org/package=poio
Description: CRAN Package 'poio' (Input/Output Functionality for "PO" and "POT" MessageTranslation Files)
 Read and write PO and POT files, for package translations.

Package: r-cran-poisbinnonnor
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-corpcor, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-poisbinnonnor_1.3.3-1.ca2004.1_all.deb
Size: 101456
MD5sum: 59527d1c4a759f66ddf599529c4a65c9
SHA1: 6e1d4cddba7d420a6ba5ec36916a6cba390f567d
SHA256: 000dad153a2dc80e51e4c789495590e6f23e3a688434cd295b7fecc3e7fbe9be
SHA512: 5f3c6841e8747f26c4f41333ef262f8514d2635d5117968122593b92f1e19f7df8f410670cccb64f47741eaa49403db135775ece87de7e64dc0fe3a2a0a72364
Homepage: https://cran.r-project.org/package=PoisBinNonNor
Description: CRAN Package 'PoisBinNonNor' (Data Generation with Poisson, Binary and Continuous Components)
 Generation of multiple count, binary and continuous variables simultaneously
 given the marginal characteristics and association structure. Throughout the
 package, the word 'Poisson' is used to imply count data under the assumption
 of Poisson distribution.  The details of the method are explained in Amatya
 et al. (2015) <DOI:10.1080/00949655.2014.953534>.

Package: r-cran-poisbinord
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-genord, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-poisbinord_1.4.3-1.ca2004.1_all.deb
Size: 71640
MD5sum: 96120a7f115b1976c8cfd80b5d862c65
SHA1: 6ca06fdcaec66dd1f783afa65607a5d95d8f1485
SHA256: 58488da54cdf87fb78bfec6b4f907aa41c84b00be35d0fcc17876d34d21341a1
SHA512: dd71fc3fe062ab875627b326aec1e4c87c1d754e5bf9f03ec41e376a43cb6782821de79b9d6600cc98288f6d3ffe33f9b1cbcbb7496c3eb4fff444ffcfb477cc
Homepage: https://cran.r-project.org/package=PoisBinOrd
Description: CRAN Package 'PoisBinOrd' (Data Generation with Poisson, Binary and Ordinal Components)
 Generation of multiple count, binary and ordinal variables simultaneously
 given the marginal characteristics and association structure. Throughout the
 package, the word 'Poisson' is used to imply count data under the assumption
 of Poisson distribution. The details of the method are explained in Amatya,
 A. and Demirtas, H. (2015) <DOI:10.1080/00949655.2014.953534>.

Package: r-cran-poisbinordnonnor
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-corpcor, r-cran-mass, r-cran-genord, r-cran-bb
Suggests: r-cran-moments
Filename: pool/dists/focal/main/r-cran-poisbinordnonnor_1.5.3-1.ca2004.1_all.deb
Size: 63120
MD5sum: 23ae2356e57840f99e5241bc4770a482
SHA1: eaabc24b55175dec864410b448724187eea40687
SHA256: 005416cd6e4005ab0f25a6fbccdc3f2aa939eb15d93af1b35595bd222c6dc44d
SHA512: 9ecede60b5c2cf1d3bbf022e38e75d0bf57386d4bc11c5527e7073dbf8312a339fdb78689c1af08312d3a0e818b25861d53ccbd276ae2f6ae48c3ed8f0f2d482
Homepage: https://cran.r-project.org/package=PoisBinOrdNonNor
Description: CRAN Package 'PoisBinOrdNonNor' (Generation of Up to Four Different Types of Variables)
 Generation of a chosen number of count, binary, ordinal, and continuous
 random variables, with specified correlations and marginal properties. The
 details of the method are explained in Demirtas (2012)
 <DOI:10.1002/sim.5362>.

Package: r-cran-poisbinordnor
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-corpcor, r-cran-mvtnorm, r-cran-psych, r-cran-genord
Filename: pool/dists/focal/main/r-cran-poisbinordnor_1.6.3-1.ca2004.1_all.deb
Size: 65700
MD5sum: e84bf990704aa69c3d8172bee38717e6
SHA1: a4466bb66521248942183e6d773d6069bc6b52cc
SHA256: 26b0e124e5c6fb6e0fd89fd3b6cce7423c468bf01494f387108ea8cf24bc01d6
SHA512: 581317844549f170d7adc5a7dc71a34fed4b2efd0d32a30666b1a8a7528a52c09b4a8d1208bc5d8645523d76bbdd287bd17236f6e08539172c954a13cb929ed9
Homepage: https://cran.r-project.org/package=PoisBinOrdNor
Description: CRAN Package 'PoisBinOrdNor' (Data Generation with Poisson, Binary, Ordinal and NormalComponents)
 Generation of multiple count, binary, ordinal and normal variables
 simultaneously given the marginal characteristics and association structure.
 The details of the method are explained in Demirtas et al. (2012)
 <DOI:10.1002/sim.5362>.

Package: r-cran-poisferobust
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-glmmml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poisferobust_2.0.0-1.ca2004.1_all.deb
Size: 48920
MD5sum: 9a990a63678595676d79011c3264167c
SHA1: 5ed0b6dbe776ce362ca60409e71c37fe9dd23761
SHA256: 93df43c665d2d77ef77cbf826a82e4edebf51201cfd8b77659d097fae6ae0faa
SHA512: 8fd49a7ecc39a7988cba76ec4c25fde692a8ab32a358620af7ca7698708c7a72750b9ad9e6ef676855212bea51d2c49dab33a1684ce7580e276fba23408bb838
Homepage: https://cran.r-project.org/package=poisFErobust
Description: CRAN Package 'poisFErobust' (Poisson Fixed Effects Robust)
 Computation of robust standard errors of Poisson fixed effects models,
 following Wooldridge (1999).

Package: r-cran-poisnonnor
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-corpcor, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-poisnonnor_1.6.3-1.ca2004.1_all.deb
Size: 64604
MD5sum: 923fc79541c987644b54d541d5a383eb
SHA1: 8a9c81176a9c4568435515f1f7ed88597c600afd
SHA256: 14c124531a2b858c5d802f03d6861aa6d8675d753816dbd4c554f64412e14d7d
SHA512: 4512a845d5b4ac0861104d6cd24cbe2599749741e45640a740e3a08fe462493c3355e00d7205e8363553280a5f1c9e71b7300d8683846bfee2ca4293d30de8d3
Homepage: https://cran.r-project.org/package=PoisNonNor
Description: CRAN Package 'PoisNonNor' (Simultaneous Generation of Count and Continuous Data)
 Generation of count (assuming Poisson distribution) and continuous data
 (using Fleishman polynomials) simultaneously. The details of the method are
 explained in Demirtas et al. (2012) <DOI:10.1002/sim.5362>.

Package: r-cran-poisnor
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-corpcor, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-poisnor_1.3.3-1.ca2004.1_all.deb
Size: 39172
MD5sum: e729c5c8673856ce0452a71b57c55ba7
SHA1: 661d8a29027990fb2ba660eb35865f201b1143cc
SHA256: 6124821b2916ddcc745365548e81076ffa409a9cd1145fefca8e20af3e5ba206
SHA512: 07d29dcb973c2bb8a7d599afb2188486fcf640b2eeecaa85f7a9ca5ee281b5e136acc8004b35e915cd985c6f79e77448b97439a2c6b2503e98d254ea6a69eb66
Homepage: https://cran.r-project.org/package=PoisNor
Description: CRAN Package 'PoisNor' (Simultaneous Generation of Multivariate Data with Poisson andNormal Marginals)
 Generates multivariate data with count and continuous variables with a
 pre-specified correlation matrix. The count and continuous variables are
 assumed to have Poisson and normal marginals, respectively. The data
 generation mechanism is a combination of the normal to anything principle
 and a connection between Poisson and normal correlations in the mixture.
 The details of the method are explained in Yahav et al. (2012)
 <DOI:10.1002/asmb.901>.

Package: r-cran-poisson.glm.mix
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poisson.glm.mix_1.4-1.ca2004.1_all.deb
Size: 304464
MD5sum: a65815647433b6c0935389c344592e61
SHA1: 0e58002418e049b990a3d109498d7b0ecaabf555
SHA256: 26022825e2ebad4ce64ae2f87634105cbe04513c1a3d825ed25f7f523362f544
SHA512: 15e66c1c4e9d573c0021ee35b7314064a27c7c975a7454da3278b3b86e7a05bc6febb1b798ce120a36f0fbb6e595ac17508f9967eb7045634ecad4765687c778
Homepage: https://cran.r-project.org/package=poisson.glm.mix
Description: CRAN Package 'poisson.glm.mix' (Fit High Dimensional Mixtures of Poisson GLMs)
 Mixtures of Poisson Generalized Linear Models for high dimensional count
 data clustering. The (multivariate) responses can be partitioned into set of
 blocks. Three different parameterizations of the linear predictor are
 considered. The models are estimated according to the EM algorithm with an
 efficient initialization scheme <doi:10.1016/j.csda.2014.07.005>.

Package: r-cran-poisson
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poisson_1.0-1.ca2004.1_all.deb
Size: 163928
MD5sum: 41894163dbe86c69468a9f73c793c02b
SHA1: 415891d325227d455c8cea8457f81014da8550cf
SHA256: d345cced03beb1d387f03244b3dd2f3c1bc35650731011c923d2b082de1491e1
SHA512: 9e758ab6eebb6096716f2305a8dd9b2b51eef3c74e8777e3049a90c4ff6b49b3f86e60a202e9f7a4644a704ffc0a1d80716c1ee8920ab6967d92addbb6dd3cf7
Homepage: https://cran.r-project.org/package=poisson
Description: CRAN Package 'poisson' (Simulating Homogenous & Non-Homogenous Poisson Processes)
 Contains functions and classes for simulating, plotting and analysing
 homogenous and non-homogenous Poisson processes.

Package: r-cran-poissonreg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-parsnip, r-cran-dplyr, r-cran-generics, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-pscl, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poissonreg_1.0.1-1.ca2004.1_all.deb
Size: 73516
MD5sum: c95f905e9f9e96830f6bae0af605e1fd
SHA1: e17c8b231cd5d2b623baabf13e5262a1c2a24adc
SHA256: 8206d2407c487a3d2da8bdf8394c78c5ca5a94289bfacfecaf5d4f68aa3fc561
SHA512: 12c5e24076e50b32395ddcf8be1b33f44fa1bd6dcfedc0fd04bcac1159d545a428882cf5234929b929fbff25bbd8c0de904ee0320b7957c046179eb8ef8e8620
Homepage: https://cran.r-project.org/package=poissonreg
Description: CRAN Package 'poissonreg' (Model Wrappers for Poisson Regression)
 Bindings for Poisson regression models for use with the 'parsnip' package.
 Models include simple generalized linear models, Bayesian models, and
 zero-inflated Poisson models (Zeileis, Kleiber, and Jackman (2008)
 <doi:10.18637/jss.v027.i08>).

Package: r-cran-poistweedie
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poistweedie_1.0.2-1.ca2004.1_all.deb
Size: 68500
MD5sum: 27fd9a6ab51b2eea43f21db91b57ef4d
SHA1: b6045b3435e108a9d910ae3dbf007bfc5c578308
SHA256: 8ced9fc092c38ed4376b6b321b8c4223eccf8eced12d1e8e4a57633f1ea71208
SHA512: 1cf77d2dd42befcf481d11f647c2e3a95c3e191d49cb9dbe92f858e0eece5d4ad5d086fbfd5727f307c2438b086654ce0d1654e8427f151ab9f840146264ba5f
Homepage: https://cran.r-project.org/package=poistweedie
Description: CRAN Package 'poistweedie' (Poisson-Tweedie Exponential Family Models)
 Simulation of models Poisson-Tweedie.

Package: r-cran-pokemon
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pokemon_0.1.3-1.ca2004.1_all.deb
Size: 110216
MD5sum: 8c45c7946d663309c8089ed4541345ac
SHA1: f64354893f8205236eeee01614f4c3798c7cd612
SHA256: f11a9e59ef802f3918b39f89884ab371facf5234dc39abc2687f451ed65e3f98
SHA512: bce4ecc325976a9802b7028d3bde31c21fd746f4169517910fb9a8c118e9a7f4568f7a57e4d50b2d805e078de03aa39da127bece628578e55a2f05e66664ec8f
Homepage: https://cran.r-project.org/package=pokemon
Description: CRAN Package 'pokemon' (Pokemon Data in English and Brazilian Portuguese)
 Provides a dataset of Pokemon information in both English and Brazilian
 Portuguese. The dataset contains 949 rows and 22 columns, including
 information such as the Pokemon's name, ID, height, weight, stats, type, and
 more.

Package: r-cran-poker
Architecture: all
Version: 0.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poker_0.8.8-1.ca2004.1_all.deb
Size: 117708
MD5sum: 7397122af73d2f3f6baaf1c913cddc64
SHA1: da097d883d9cf1585ca68adbffa2f92c41d57560
SHA256: a91b605df4f63c37e7320b2f8476fede4633e24932f0d76b2ad6d84067b6bcc7
SHA512: 31432b48b2382e62aa3749728dd5ae3797f368335715ea90bcd163bf6877ad1d426faf9e970973b33c986d8951fd86d373726f4419d6c2b85d08b7c52b99123c
Homepage: https://cran.r-project.org/package=poker
Description: CRAN Package 'poker' (Play Texas Hold Em Poker)
 Type testRoundOfPoker() to demonstrate the game of Texas Hold ‘Em poker.
 Rotate the dealer button, deal cards, rank each hand, compare ranks, break
 ties (if necessary), determine the winner, output a textual summary, and
 output a graphical user interface.

Package: r-cran-polarcap
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tidyr, r-cran-countrycode
Filename: pool/dists/focal/main/r-cran-polarcap_1.0.1-1.ca2004.1_all.deb
Size: 127904
MD5sum: debe8e449d3c58e07335e074e4d505e3
SHA1: 2bba61825f29149e85c3c25e24b01e7d155cd89c
SHA256: eef98d74ad1ce6f9f6552d79a1cbb60e6b9f70c3dc8184efa9d4d9daaea0f68c
SHA512: 64bd9432812a1af7e0bf1c3275f22a64879edc065dcc2a8261a194cc6c59595a1ace3218e605284fd4137f8982484b17bd6a2c597032a6f0a25dceaecb3d91c4
Homepage: https://cran.r-project.org/package=PolarCAP
Description: CRAN Package 'PolarCAP' (Access the Polarization in Comparative Attitudes Project)
 Distributes data from the Polarization in Comparative Attitudes Project.
 Helper functions enable data retrieval in wide and tidy formats for
 user-defined countries and years. Provides support for case-insensitive
 country names in many languages. Mehlhaff (2022)
 <https://imehlhaff.net/files/Polarization%20and%20Democracy.pdf>.

Package: r-cran-polaroid
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-hexsticker, r-cran-argondash, r-cran-argonr, r-cran-colourpicker, r-cran-magick, r-cran-showtext, r-cran-sysfonts, r-cran-shinyjs, r-cran-stringr, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-polaroid_0.2.1-1.ca2004.1_all.deb
Size: 117572
MD5sum: f856b847d0d6bc22a197ab7f11d1f39d
SHA1: b56c901774d834923ab9a83c543082893fb7e9fc
SHA256: a1b52a2f8da5946d382d2bc245abadfbf89fe1f2dc1b27f73883e02477a76c85
SHA512: 0a7e70b49ea91849dabac898ff88244b0eb5b199d1804f8f76a333ac6ad4d4406f34946778e57b9f9685e317d803d74755a11352623c64146934292cebe237a8
Homepage: https://cran.r-project.org/package=polaroid
Description: CRAN Package 'polaroid' (Create Hex Stickers with 'shiny')
 Create hexagonal shape sticker image.  'polaroid' can be used in user's web
 browser.  'polaroid' can be used in 'shinyapps.io'.  In both way, user can
 download created 'hexSticker' as 'PNG' image.  'polaroid' is built based on
 'argonDash', 'colourpicker' and 'hexSticker' R package.

Package: r-cran-polarzonoid
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2319
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-logger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gifski, r-cran-flextable, r-cran-equatags, r-cran-rgl, r-cran-zonohedra, r-cran-microbenchmark, r-cran-magick, r-cran-pdftools
Filename: pool/dists/focal/main/r-cran-polarzonoid_0.1-2-1.ca2004.1_all.deb
Size: 1069712
MD5sum: be48149a12bbcb9004ca89bc65425e5b
SHA1: 94d8b8d0aff21b351b8658dfdb54ff76217defa8
SHA256: 9297d1042b38bb0902ed67d25ce4f2d9bee5e2eafaa54a229ccd04166a779e3e
SHA512: 5ce9cd0b94faf97bd85c4ffc3d3fc6e4bf06547d62328a4aed455b60cec106d098b5abc7e46e45082ef953c7e247426d05475df29a204afea568b079b96e3a9c
Homepage: https://cran.r-project.org/package=polarzonoid
Description: CRAN Package 'polarzonoid' (Compute Maps and Properties of Polar Zonoids)
 In each odd dimension is a convex body - the polar zonoid - whose generating
 functions are trigonometric polynomials.  The polar zonoid is a
 straightforward generalization of the polar zonohedron in dimension 3. The
 package has some applications of the polar zonoid, including the properties
 of configuration spaces of arcs on the circle and 3x3 rotation matrices.
 There is also a root solver for trigonometric polynomials.

Package: r-cran-poldis
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3597
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-purrr, r-cran-stringi, r-cran-quanteda, r-cran-spacyr, r-cran-textstem, r-cran-tidyr, r-cran-stringdist
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-tesseract, r-cran-quanteda.textstats, r-cran-keyatm, r-cran-messydates, r-cran-pdftools, r-cran-fmsb, r-cran-ggplot2, r-cran-tm, r-cran-cli
Filename: pool/dists/focal/main/r-cran-poldis_0.1.2-1.ca2004.1_all.deb
Size: 3629940
MD5sum: 1651f8fe419944a69d74cce8898d8e9d
SHA1: 8ee843b2853fd912e902a63d002e04cc193e9823
SHA256: e972e3a08e6fd9a802ee7d5ec088c036201006832ed6671f386d2fd482ecdb6a
SHA512: 14ccace894e74f6c2258ee93c683a5bea5c3785f12b29ededaedbbfd88e3627fc3aae0292f081826618cd34bda1264fea0255288b8fcbd5b375018bf935cfaa7
Homepage: https://cran.r-project.org/package=poldis
Description: CRAN Package 'poldis' (Analyse Political Texts)
 Wrangle and annotate different types of political texts.  It also introduces
 Urgency Analysis, a new method for the analysis of urgency in political
 texts.

Package: r-cran-policyportfolios
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-vegan, r-cran-ineq, r-cran-mgcv, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-devtools, r-cran-rmarkdown, r-cran-knitr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-policyportfolios_0.3-1.ca2004.1_all.deb
Size: 261976
MD5sum: a96a8ed3d5c41634a26383f899f45a71
SHA1: 6c2a7ac518aad745dd19c0c119926f71080c3db0
SHA256: c2b33dca6f381edc5dec1b784558a4d381b72902cc7a8388ae93adef7f8a3e84
SHA512: bc4c3b72662ae037bfb5cd46ecc857640a910e1967d882a356bb4b39743030c1668736aee8b134a73f9b1ccb191e5f405b4dcae0bc9213b8856b5b5fbef18e97
Homepage: https://cran.r-project.org/package=PolicyPortfolios
Description: CRAN Package 'PolicyPortfolios' (Tools for Managing, Measuring and Visualizing Policy Portfolios)
 Tools for simplifying the creation and management of data structures
 suitable for dealing with policy portfolios, that is, two-dimensional spaces
 of policy instruments and policy targets. The package also allows to
 generate measures of portfolio characteristics and facilitates their
 visualization.

Package: r-cran-polimetrics
Architecture: all
Version: 1.2.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tidyverse, r-cran-car, r-cran-purrr, r-cran-formula.tools, r-cran-gplots, r-cran-rstatix, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-polimetrics_1.2.1.14-1.ca2004.1_all.deb
Size: 107656
MD5sum: 184f05b0c6c849c11c5eed2370b26b47
SHA1: a5385b172531b65935089374bf406c28e51a2c11
SHA256: 34b6f9ac31ab8522c4cb7f9b26cd8782c3428942f98bab48d5bcb00c14a5c10e
SHA512: 61d2584ed6daea6553f558ee451eec54296e472cc0ee42934730bc3eb372eeb6b6f91de60766582ce5030bb9b31a13e335c29ac3c0e2d5591ac404cf39b256a4
Homepage: https://cran.r-project.org/package=polimetrics
Description: CRAN Package 'polimetrics' (R Tools for Political Measures)
 This is a collection of data and functions for common metrics in political
 science research. Data measuring ideology, and functions calculating
 geographical diffusion and ideological diffusion - geog.diffuse() and
 ideo.dist(), respectively. Functions derived from methods developed in:
 Soule and King (2006) <doi:10.1086/499908>, Berry et al. (1998)
 <doi:10.2307/2991759>, Cruz-Aceves and Mallinson (2019)
 <doi:10.1177/0160323X20902818>, and Grossback et al. (2004)
 <doi:10.1177/1532673X04263801>.

Package: r-cran-poliscidata
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3458
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-descr, r-cran-hmisc, r-cran-weights, r-cran-plyr, r-cran-gplots, r-cran-xtable, r-cran-survey, r-cran-car, r-cran-plotrix, r-cran-abind
Suggests: r-cran-hexbin, r-cran-rgl, r-cran-scatterplot3d, r-cran-r2html, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-poliscidata_2.3.0-1.ca2004.1_all.deb
Size: 3360584
MD5sum: 966acf2ed6884810871c51d91458c0de
SHA1: 3c62d20388cdebd427203129a24d59a065feda5d
SHA256: af066246612799c1b14309199eaba4699010ea7be7c9c3e8b1308f2d127af89c
SHA512: 10482943ece210612f93522234639833e1bb6647fb13a12ca32d9b668ad502512a479c4ff9ab552ebb98a3d6ef24eab813d24379f23b01ba7261dbc74dfabcd2
Homepage: https://cran.r-project.org/package=poliscidata
Description: CRAN Package 'poliscidata' (Datasets and Functions Featured in Pollock and Edwards, an RCompanion to Essentials of Political Analysis, Second Edition)
 Bundles the datasets and functions used in the textbook by Philip Pollock
 and Barry Edwards, an R Companion to Essentials of Political Analysis,
 Second Edition.

Package: r-cran-polished
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-automagic, r-cran-digest, r-cran-dplyr, r-cran-desc, r-cran-dt, r-cran-htmltools, r-cran-httr, r-cran-jose, r-cran-jsonlite, r-cran-lubridate, r-cran-otp, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-uuid, r-cran-yaml
Suggests: r-cran-base64enc, r-cran-config, r-cran-knitr, r-cran-plumber, r-cran-testthat, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-polished_0.8.1-1.ca2004.1_all.deb
Size: 487416
MD5sum: a409232a52ecbc2e102baf21e832fbd4
SHA1: 4326e50c50e4148411494d5c570af8fcf809da39
SHA256: 85451a6ef2a0287b6cbc293f1a3ea90fa5523be04c4596babd4f66d4e02c2497
SHA512: 5556944ac4fda007302ae35f05cb5557ace2750781c3f3f4518e9613463757a66352d65880fc296a850dae5e167e781e0b4a944e2fe0b4a999d3888c63754b6d
Homepage: https://cran.r-project.org/package=polished
Description: CRAN Package 'polished' (Authentication and Hosting for 'shiny' Apps)
 Authentication, user administration, hosting, and additional infrastructure
 for 'shiny' apps. See <https://polished.tech> for additional documentation
 and examples.

Package: r-cran-polisher
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-nailer, r-cran-shiny
Suggests: r-cran-sensominer
Filename: pool/dists/focal/main/r-cran-polisher_1.0.0-1.ca2004.1_all.deb
Size: 35724
MD5sum: d837265b40af98a5a4a44e7b8daad0fd
SHA1: 09de365006607c7e2892e451259956262490ea2e
SHA256: 329733167033b9d277dc7f71fef6dd2e5b8894d906db198239971d69e1d13e12
SHA512: 78f824354b7cda9e512b111eb4ebd31fdf1d581aa5a1e5dc6e03b9f371aadc568ce56003800d3a20d82708cfc254586d420d17912a79faea303c0d7294390eca
Homepage: https://cran.r-project.org/package=PolisheR
Description: CRAN Package 'PolisheR' (Interfacing 'NaileR' with 'Shiny')
 A very small package for more convenient use of 'NaileR'. You provide a data
 set containing a latent variable you want to understand. It generates a
 description and an interpretation of this latent variable using a Large
 Language Model. For perceptual data, it describes the stimuli used in the
 experiment.

Package: r-cran-polite
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-magrittr, r-cran-memoise, r-cran-ratelimitr, r-cran-robotstxt, r-cran-rvest, r-cran-usethis
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-covr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-polite_0.1.3-1.ca2004.1_all.deb
Size: 146872
MD5sum: f99be44dddf0f588027d278e71eb4ec8
SHA1: 33a5742f6d85b97ac365781112e44c7e87f546fa
SHA256: ffd2b697872acce822dab6b46209935cd0ab23b1cac92523e72e9c433c925cb7
SHA512: 49fd287132d6bcac62f6161b69730c4b86e02489793322086712d245175495872d048958df3a9a9e173a8b60a59b05bf1e8dfe8a641e5ad892b5165412e95895
Homepage: https://cran.r-project.org/package=polite
Description: CRAN Package 'polite' (Be Nice on the Web)
 Be responsible when scraping data from websites by following polite
 principles: introduce yourself, ask for permission, take slowly and never
 ask twice.

Package: r-cran-politeness
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1077
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tm, r-cran-quanteda, r-cran-ggplot2, r-cran-spacyr, r-cran-textir, r-cran-glmnet, r-cran-data.table, r-cran-stringr, r-cran-stringi, r-cran-magrittr, r-cran-dplyr, r-cran-ggrepel, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-politeness_0.9.4-1.ca2004.1_all.deb
Size: 922712
MD5sum: dac5d19a7eb2f96c2cc7cd11f9038db8
SHA1: 3a69337ab0187ee949e22b565a60aeba6c274013
SHA256: 6194d55cf8d05fdcb1f327daf2b8fb0a7cfd431cbad517c62e06a104753f8eee
SHA512: d57064b137cc858af5af444127390e6ea3b6d0f2bc849538b99bad161d449657baa4db64f27b10546f3472765d3e9f446b3428f0559abd464bdd9b01b33bc3c9
Homepage: https://cran.r-project.org/package=politeness
Description: CRAN Package 'politeness' (Detecting Politeness Features in Text)
 Detecting markers of politeness in English natural language. This package
 allows researchers to easily visualize and quantify politeness between
 groups of documents. This package combines prior research on the linguistic
 markers of politeness. We thank the Spencer Foundation, the Hewlett
 Foundation, and Harvard's Institute for Quantitative Social Science for
 support.

Package: r-cran-politicsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ineq
Filename: pool/dists/focal/main/r-cran-politicsr_0.1.0-1.ca2004.1_all.deb
Size: 264752
MD5sum: 63c577c65705aef566d149e63d16700e
SHA1: 581c380762797f60ffa24a4aeb86be2dc34eb712
SHA256: 9788e7cf56f7123e6b1bbdb384c0dc969e2b8fcd4274f28669894e7c8c216d20
SHA512: 1ba0938a2e6ab259410f0cf8dfc94e0ffcff9998bf7b71896c83313405c5ec8a4bcf3622ea5e3ed28435bdf7016c9ca14e2a85159435c08c780eb3915d9643cc
Homepage: https://cran.r-project.org/package=politicsR
Description: CRAN Package 'politicsR' (Calculating Political System Metrics)
 A toolbox to facilitate the calculation of political system indicators for
 researchers.  This package offers a variety of basic indicators related to
 electoral systems, party systems, elections, and parliamentary studies, as
 well as others. Main references are: Loosemore and Hanby (1971)
 <doi:10.1017/S000712340000925X>; Gallagher (1991)
 <doi:10.1016/0261-3794(91)90004-C>; Laakso and Taagepera (1979)
 <doi:10.1177/001041407901200101>; Rae (1968)
 <doi:10.1177/001041406800100305>; Hirschmaņ (1945) <ISBN:0-520-04082-1>;
 Kesselman (1966) <doi:10.2307/1953769>; Jones and Mainwaring (2003)
 <doi:10.1177/13540688030092002>; Rice (1925) <doi:10.2307/2142407>; Pedersen
 (1979) <doi:10.1111/j.1475-6765.1979.tb01267.x>; SANTOS (2002)
 <ISBN:85-225-0395-8>.

Package: r-cran-polle
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-superlearner, r-cran-data.table, r-cran-lava, r-cran-future.apply, r-cran-progressr, r-cran-policytree, r-cran-survival, r-cran-targeted, r-cran-dyntxregime
Suggests: r-cran-dtrlearn2, r-cran-glmnet, r-cran-mgcv, r-cran-xgboost, r-cran-knitr, r-cran-ranger, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-polle_1.5-1.ca2004.1_all.deb
Size: 567552
MD5sum: ac6430c4afcadf8731d29f3f315b38fc
SHA1: ccfb38920b326264451a9c0f4e8b410ba6362b6c
SHA256: ff8a27f841bff804ccd0126fa6a3c762b693d9d796d1522d181cfa07efd3474a
SHA512: 672b88b930686f6af1b12b9d4b98d4892b8b1aa17b9bff938b0c927bf32038fcf70147d6b117c9aa60782937e0f405121a8629eb0dd364a9900250ca0402e73e
Homepage: https://cran.r-project.org/package=polle
Description: CRAN Package 'polle' (Policy Learning)
 Package for evaluating user-specified finite stage policies and learning
 optimal treatment policies via doubly robust loss functions. Policy learning
 methods include doubly robust learning of the blip/conditional average
 treatment effect and sequential policy tree learning. The package also
 include methods for optimal subgroup analysis. See Nordland and Holst (2022)
 <doi:10.48550/arXiv.2212.02335> for documentation and references.

Package: r-cran-pollen
Architecture: all
Version: 0.82.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-purrr, r-cran-dplyr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-tidyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pollen_0.82.0-1.ca2004.1_all.deb
Size: 139292
MD5sum: a96cb7537fef3830aed29d6d41faf8cc
SHA1: 64a2bd3aa730b88b2bae223e71b88cb27cf69d11
SHA256: db59c4e7535a893f1dcfeb3a3cc8da4b61e944b695c4bf4d9d93e445444721c7
SHA512: b01e6f262d088b53c23a0aa6e0b33d93c7c0712a751195f05419b4116e0aab485bb8d6a079ee563de7198ad221ff802f2f208e5664d40ac7c0460ca1e4d582ea
Homepage: https://cran.r-project.org/package=pollen
Description: CRAN Package 'pollen' (Analysis of Aerobiological Data)
 Supports analysis of aerobiological data.  Available features include
 determination of pollen season limits, replacement of outliers (Kasprzyk and
 Walanus (2014) <doi:10.1007/s10453-014-9332-8>), calculation of growing
 degree days (Baskerville and Emin (1969) <doi:10.2307/1933912>), and
 determination of the base temperature for growing degree days (Yang et al.
 (1995) <doi:10.1016/0168-1923(94)02185-M).

Package: r-cran-pollimetry
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brms, r-cran-repmis
Suggests: r-cran-rstan
Filename: pool/dists/focal/main/r-cran-pollimetry_1.0.1-1.ca2004.1_all.deb
Size: 162636
MD5sum: 7f8602a1d5f7009df0fc55db829920a8
SHA1: 4c728645463d72258adf9ebd6874998e6743f3c3
SHA256: c3faf1aa633ba6d9b68350b947eb765c790334e5f28c0c2221db50f5eab3a299
SHA512: eb1e953c21312fcaab5e5d415749dcc6d7e28ea10cd8f0859bd19b9bda9fc828a1b95688f4e77980dc1903b150e9aaac66119501bd470a4b06224cceeed6623e
Homepage: https://cran.r-project.org/package=pollimetry
Description: CRAN Package 'pollimetry' (Estimate Pollinator Body Size and Co-Varying Ecological Traits)
 Tools to estimate pollinator body size and co-varying traits. This package
 contains novel Bayesian predictive models of pollinator body size (for bees
 and hoverflies) as well as preexisting predictive models for pollinator body
 size (currently implemented for ants, bees, butterflies, flies, moths and
 wasps) as well as bee tongue length and foraging distance, total field
 nectar loads and wing loading. An additional GitHub repository
 <https://github.com/liamkendall/pollimetrydata> provides model objects to
 use the bodysize function internally. All models are described in Kendall et
 al (2018) <doi:10.1101/397604>.

Package: r-cran-pollster
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-tidyr, r-cran-labelled, r-cran-forcats, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pollster_0.1.6-1.ca2004.1_all.deb
Size: 510808
MD5sum: f1741e3167b7260d4afbcb5b75a20cad
SHA1: 9d78f3146d39b6877a855e239eb115ae6fd21e5b
SHA256: e96206c84b4eaa98a95d790e07e0b7445e10f964d31e8a1a955371714ebaf164
SHA512: e66655f78bccbc49215ab32e1f800d9869a6ffd2978aaacd9dbec6d48178ce579cbddb0260d00fb6fea17f3ebbf66e8e510f2fc3015ae5dd17204db9a21a112a
Homepage: https://cran.r-project.org/package=pollster
Description: CRAN Package 'pollster' (Calculate Crosstab and Topline Tables of Weighted Survey Data)
 Calculate common types of tables for weighted survey data.  Options include
 topline and (2-way and 3-way) crosstab tables of categorical or ordinal data
 as well as summary tables of weighted numeric variables. Optionally, include
 the margin of error at selected confidence intervals including the design
 effect. The design effect is calculated as described by Kish (1965)
 <doi:10.1002/bimj.19680100122> beginning on page 257. Output takes the form
 of tibbles (simple data frames).  This package conveniently handles labelled
 data, such as that commonly used by 'Stata' and 'SPSS.' Complex survey
 design is not supported at this time.

Package: r-cran-polminer
Architecture: all
Version: 0.8.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4308
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-fs, r-cran-slam, r-cran-matrix, r-cran-tm, r-cran-dt, r-cran-xml2, r-cran-stringi, r-cran-jsonlite, r-cran-pbapply, r-cran-rcppcwb, r-cran-magrittr, r-cran-knitr, r-cran-lifecycle, r-cran-rlang, r-cran-cli
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-htmltools, r-cran-highlight, r-cran-sendmailr, r-cran-shiny, r-cran-shinythemes, r-cran-shinyjs, r-cran-miniui, r-cran-rhandsontable, r-cran-testthat, r-cran-tidytext, r-cran-covr, r-cran-igraph, r-cran-nlp, r-cran-httr, r-cran-protolite, r-cran-curl
Filename: pool/dists/focal/main/r-cran-polminer_0.8.9-1.ca2004.1_all.deb
Size: 2294936
MD5sum: 4cd0c7349f9345e07d9125751be67c04
SHA1: 257bba554e4e131d38bafddb4dc779847cf9c7f0
SHA256: 9155e83ed76dc412a0094cbe0ba7851116514f88ad22035d9ea734d32f7aaf23
SHA512: 960d50d91d4dc523f5d3ad5e5949e015b98199f37a066f28cd83f4581a9bcd814131c5058421d90cf891e56cc30d8697e09ab9e3a76e3783b816c940d32b65e8
Homepage: https://cran.r-project.org/package=polmineR
Description: CRAN Package 'polmineR' (Verbs and Nouns for Corpus Analysis)
 Package for corpus analysis using the Corpus Workbench ('CWB',
 <https://cwb.sourceforge.io>) as an efficient back end for indexing and
 querying large corpora. The package offers functionality to flexibly create
 subcorpora and to carry out basic statistical operations (count,
 co-occurrences etc.). The original full text of documents can be
 reconstructed and inspected at any time. Beyond that, the package is
 intended to serve as an interface to packages implementing advanced
 statistical procedures. Respective data structures (document-term matrices,
 term-co-occurrence matrices etc.) can be created based on the indexed
 corpora.

Package: r-cran-poly4at
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-sf, r-cran-leaflet, r-cran-geojsonsf, r-cran-httr, r-cran-jsonlite, r-cran-shinydashboard, r-cran-dt, r-cran-leaflet.extras, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poly4at_1.0.1-1.ca2004.1_all.deb
Size: 1461004
MD5sum: 28c79f1d31d81207e71a2ac3dc2fed8d
SHA1: 5589d9ac79768bb5d629a96236f77526adef9522
SHA256: 69f764469d34ffbab69f6d02993f089d584084b5c75987ee0dc06d21d2602020
SHA512: f863bc885a2ce8339b2c72ebde736cad5829234c814219811911661319fee952f669411c764ea8b2cb1987662acc5992a336e54e26c466844c17df8fbb18df7c
Homepage: https://cran.r-project.org/package=Poly4AT
Description: CRAN Package 'Poly4AT' (Access 'INVEKOS' API for Field Polygons)
 A 'shiny' app that allows to access and use the 'INVEKOS' API for field
 polygons in Austria. API documentation is available at
 <https://gis.lfrz.gv.at/api/geodata/i009501/ogc/features/v1/>.

Package: r-cran-polyaaeppli
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-polyaaeppli_2.0.2-1.ca2004.1_all.deb
Size: 38980
MD5sum: 8a25dc6cf1cacca30579206799ad8ae5
SHA1: 41088921c13ef31eb8dbe77f94c516cf77e381d5
SHA256: 6f4707bdabe342ea474267618913ea897ea25a0a237e38ba95d563ec98fc7c5b
SHA512: 1e1b553d397580e84913d331f0b2e30c6985eeb36de85c003498030aee0efe85999d5613bcb78276b72cf466da01401cc9cf58b58d1aa296af73f11f169b2189
Homepage: https://cran.r-project.org/package=polyaAeppli
Description: CRAN Package 'polyaAeppli' (Implementation of the Polya-Aeppli Distribution)
 Functions for evaluating the mass density, cumulative distribution function,
 quantile function and random variate generation for the Polya-Aeppli
 distribution, also known as the geometric compound Poisson distribution.
 More information on the implementation can be found at Conrad J. Burden
 (2014) <arXiv:1406.2780>.

Package: r-cran-polychrome
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-scatterplot3d
Suggests: r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-polychrome_1.5.4-1.ca2004.1_all.deb
Size: 638560
MD5sum: 7a6c6cfa281b329c77133091f69deec4
SHA1: 1fe4b4d4a6d282e0b81a41510fec04ddff60290f
SHA256: ae7e0c21f69efbc9d3b212163555f0ae52b3c572d07ace27e6453b268719ab7a
SHA512: 53b5bb37988c3013501f00ab430aed46c6b80ea27ff30e0b272974179267f081c41944550d623e681354202744e75ac77f526b68a0e5ebb85aaacd9ecb1bd140
Homepage: https://cran.r-project.org/package=Polychrome
Description: CRAN Package 'Polychrome' (Qualitative Palettes with Many Colors)
 Tools for creating, viewing, and assessing qualitative palettes with many
 (20-30 or more) colors. See Coombes and colleagues (2019)
 <doi:10.18637/jss.v090.c01>.

Package: r-cran-polycor
Architecture: all
Version: 0.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix, r-cran-admisc
Filename: pool/dists/focal/main/r-cran-polycor_0.8-1-1.ca2004.1_all.deb
Size: 73384
MD5sum: 13bf8f2ed286391fa0121daabcbeafdc
SHA1: bd61d19db2f6d6c269e07510e2fd885f1e2572c2
SHA256: 337252d8b14119b9c4de7a6ea1246f82a1a0e6878738ce769d3efc3fe6d6d68f
SHA512: 329baac681d95ab89c7058b08ff219f1b033a409239d426935952828ae4014d7a4ab2423196774abef0d87b298cfe7582959d22d013f0dfb35965e7087817a45
Homepage: https://cran.r-project.org/package=polycor
Description: CRAN Package 'polycor' (Polychoric and Polyserial Correlations)
 Computes polychoric and polyserial correlations by quick "two-step" methods
 or ML, optionally with standard errors; tetrachoric and biserial
 correlations are special cases.

Package: r-cran-polycrossdesigns
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-polycrossdesigns_1.1.0-1.ca2004.1_all.deb
Size: 28608
MD5sum: 11a11d303ad543b54e8d0fc363c1f88a
SHA1: b4a4d7773755310506596bc2016103873c354b66
SHA256: 11869ea4d00c556e12b2d85cf018a64bd5b15c5101e3fa9e064aa67591237927
SHA512: 5dcbd8795e17cdf03f5905b4c5d2c3e6bd89a530299befd247f06308fe4373e044af8e4ccbb6a526f35eae01cd6351d526aca5f5daf5195ea8c7d3f804cdf4b8
Homepage: https://cran.r-project.org/package=PolycrossDesigns
Description: CRAN Package 'PolycrossDesigns' (Polycross Designs ("PolycrossDesigns"))
 A polycross is the pollination by natural hybridization of a group of
 genotypes, generally selected, grown in isolation from other compatible
 genotypes in such a way to promote random open pollination. A particular
 practical application of the polycross method occurs in the production of a
 synthetic variety resulting from cross-pollinated plants. Laying out these
 experiments in appropriate designs, known as polycross designs, would not
 only save experimental resources but also gather more information from the
 experiment. Different experimental situations may arise in polycross
 nurseries which may be requiring different polycross designs (Varghese et.
 al. (2015) <doi:10.1080/02664763.2015.1043860>. " Experimental designs for
 open pollination in polycross trials"). This package contains a function
 named PD() which generates nine types of polycross designs suitable for
 various experimental situations.

Package: r-cran-polyglotr
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rcurl, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-text2vec
Filename: pool/dists/focal/main/r-cran-polyglotr_1.6.0-1.ca2004.1_all.deb
Size: 321576
MD5sum: 06bb49baf58415933d242dfdd603c443
SHA1: b2bfe3828b674be3d5c9d8d16a4136a0e6178f88
SHA256: 45744b30e3037c055e63cc6566417a3f8d37512f5b88fbdf7ac000dc72b4f841
SHA512: 5ad0e5f8ab5df2b9124a1717a12d259988fed83531e9de0aff5d97285347b682f5b9f602cf1f8fade8067c59759dbf4ce8c493940d4a05565ba5422c4404619f
Homepage: https://cran.r-project.org/package=polyglotr
Description: CRAN Package 'polyglotr' (Translate Text)
 Provide easy methods to translate pieces of text.  Functions send requests
 to translation services online.

Package: r-cran-polyhaplotyper
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-polyhaplotyper_1.0.1-1.ca2004.1_all.deb
Size: 361856
MD5sum: 2dd680542e672e464e05aec9beb068e5
SHA1: 1cf26483afa74b991de4fb6de47552b17f5722c4
SHA256: 027f6a6b4156409780598c05a6c2f1379dc0dc628cc7148293cf9de89616933c
SHA512: 3aee242d45323d81753d06ea1f9a5a4bb29736e9c6409802065511124a351ee3c967b9bd47de1787dafec72c2cbc07151d8f2bd6c8dd3ee17f9e1e4f8c84ffd5
Homepage: https://cran.r-project.org/package=PolyHaplotyper
Description: CRAN Package 'PolyHaplotyper' (Assignment of Haplotypes Based on SNP Dosages in Diploids andPolyploids)
 Infer the genetic composition of individuals in terms of haplotype dosages
 for a haploblock, based on bi-allelic marker dosages, for any ploidy level.
 Reference: Voorrips and Tumino: PolyHaplotyper: haplotyping in polyploids
 based on bi-allelic marker dosage data.  Submitted to BMC Bioinformatics
 (2021).

Package: r-cran-polyhedralcubature
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gmp, r-cran-magrittr, r-cran-matrix, r-cran-ompr, r-cran-qspray, r-cran-rcdd, r-cran-simplicialcubature, r-cran-spray, r-cran-tessellation
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-polyhedralcubature_1.1.0-1.ca2004.1_all.deb
Size: 25840
MD5sum: 65a142013981d2b02ed9c712e2b16ce8
SHA1: 5c56afbe7d4d1601785564597d70ed090be3e53e
SHA256: 39350bf7c43f6932b950cb69791eb06bafd2378cad2b6c1cbc0900bdebfc26e7
SHA512: 71e44baf68e0ee1835450b4357dc22553b810b1b2fa08b641f84a36582e9d136f9516e7e5d7bad5104626b37bef701b1a1692748db875acacc326a39e63e6562
Homepage: https://cran.r-project.org/package=polyhedralCubature
Description: CRAN Package 'polyhedralCubature' (Multiple Integration over Convex Polyhedra)
 Evaluation of multiple integrals over convex polyhedra. This is useful when
 the bounds of the integrals are some linear combinations of the variables.

Package: r-cran-polymapr
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Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12382
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-igraph, r-cran-knitr, r-cran-mdsmap
Suggests: r-cran-ggplot2, r-cran-hmisc, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rmarkdown, r-cran-polyrad, r-cran-updog, r-cran-mappoly
Filename: pool/dists/focal/main/r-cran-polymapr_1.1.6-1.ca2004.1_all.deb
Size: 10987920
MD5sum: 61a80c8459dc71b0c712254645d4c818
SHA1: ece2cfd39fe0eb58bf3189b90a8b1c4d1854015d
SHA256: 4179c287378bfe80da4085e1fb236e406b86aa18f8c27ba105301d9305833570
SHA512: cdd72f35e61ee275cb3fd35aaa4436bd835d2be9305557e740eeb06055d56f4f67bbbd80ae2c0a3da19a55806c21e80e32528ba3b58c5f0c6b3f001d9b7a1051
Homepage: https://cran.r-project.org/package=polymapR
Description: CRAN Package 'polymapR' (Linkage Analysis in Outcrossing Polyploids)
 Creation of linkage maps in polyploid species from marker dosage scores of
 an F1 cross from two heterozygous parents. Currently works for outcrossing
 diploid, autotriploid, autotetraploid and autohexaploid species, as well as
 segmental allotetraploids. Methods are described in a manuscript of Bourke
 et al. (2018) <doi:10.1093/bioinformatics/bty371>. Since version 1.1.0, both
 discrete and probabilistic genotypes are acceptable input; for more details
 on the latter see Liao et al. (2021) <doi:10.1007/s00122-021-03834-x>.

Package: r-cran-polymatching
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-optmatch, r-cran-ggplot2, r-cran-gridextra, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-vgam, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-polymatching_1.0.1-1.ca2004.1_all.deb
Size: 72420
MD5sum: 44dca77e5c83bb2446356cdaaf60bd7b
SHA1: 1561973315f7dd0fe10ad964d502cd895c1a3d34
SHA256: 264e0f64bb8f76465551d4eff7639cae1eb6832b9115fa71632c47f3711c5117
SHA512: 7faf4be195ef39e6b0b2a23886adcb3c11a09f1cfb01d866d14b24e288dc9fca81385964cbab33a091089934f64e0a253cdef44099d1fe5bdc72a12e8083a9ee
Homepage: https://cran.r-project.org/package=polymatching
Description: CRAN Package 'polymatching' (A Matching Algorithm for Designs with Multiple Groups)
 Includes functions implementing the conditionally optimal matching
 algorithm, which can be used to generate matched samples in designs with
 multiple groups. The algorithm is described in Nattino, Song and Lu (2022)
 <doi:10.1016/j.csda.2021.107364>.

Package: r-cran-polymatrix
Architecture: all
Version: 0.9.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom, r-cran-matrix
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-polymatrix_0.9.16-1.ca2004.1_all.deb
Size: 331636
MD5sum: 985d627893a2f46375624c13dc986f5e
SHA1: c3f4036295f222744b198df4f5468c2cb25edab8
SHA256: 8079ce85b878b2f55a1deb83dc91c700089b98eb934a54738815dc3cddd5e4c8
SHA512: 04e9163ff00bfbb269a7b507c6b672f666d19a918dbd82b3cd91006fbc56a0984e3fc4a45e89fa4318a0536e9a8e817f58ddf146843ff6c4b6cd8901b62de6c0
Homepage: https://cran.r-project.org/package=polyMatrix
Description: CRAN Package 'polyMatrix' (Infrastructure for Manipulation Polynomial Matrices)
 Implementation of class "polyMatrix" for storing a matrix of polynomials and
 implements basic matrix operations; including a determinant and
 characteristic polynomial.  It is based on the package 'polynom' and uses a
 lot of its methods to implement matrix operations.  This package includes 3
 methods of triangularization of polynomial matrices: Extended Euclidean
 algorithm which is most classical but numerically unstable; Sylvester
 algorithm based on LQ decomposition; Interpolation algorithm is based on LQ
 decomposition and Newton interpolation.  Both methods are described in D.
 Henrion & M. Sebek, Reliable numerical methods for polynomial matrix
 triangularization, IEEE Transactions on Automatic Control (Volume 44, Issue
 3, Mar 1999, Pages 497-508) <doi:10.1109/9.751344> and in Salah Labhalla,
 Henri Lombardi & Roger Marlin, Algorithmes de calcule de la reduction de
 Hermite d'une matrice a coefficients polynomeaux, Theoretical Computer
 Science (Volume 161, Issue 1-2, July 1996, Pages 69-92)
 <doi:10.1016/0304-3975(95)00090-9>.

Package: r-cran-polynom
Architecture: all
Version: 1.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 900
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-polynom_1.4-1-1.ca2004.1_all.deb
Size: 368676
MD5sum: 82000d886ce9d64f555591ac014b72dc
SHA1: 78703c9a118959bfcd60790a8bd3e2a7ae50422d
SHA256: b27f97021c79e5f4c0beed2f39d136b00cab3c412e7a5a50026f3a9f7ee7b3dc
SHA512: d9d616d5267b5d058195e6af8150d81328b1e013e77ae2d1d93a9a7020cdb37811cbefc58622bdd1b51c115c050b0e10b979ec4840a95d1c1fde3dac2714577a
Homepage: https://cran.r-project.org/package=polynom
Description: CRAN Package 'polynom' (A Collection of Functions to Implement a Class for UnivariatePolynomial Manipulations)
 A collection of functions to implement a class for univariate polynomial
 manipulations.

Package: r-cran-polypatex
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-polypatex_0.9.2-1.ca2004.1_all.deb
Size: 479148
MD5sum: 733ffe351deaa35977ebcd095d7c265d
SHA1: 8fbfabb4ec067c5ce33b9e7ace8e99613f2d220c
SHA256: e95216dff52ea9993cede3c798e3f9a79bb99aaa5f0fa35b304a214726618417
SHA512: a6afcfb44f1e15c4f97bfa10c6f726771db84a9b0756e4aa5c26311c8269989997cdca9d8d1c356a5560c82ae3dae41e94e24d3fbf27321fa81e270022e7a583
Homepage: https://cran.r-project.org/package=PolyPatEx
Description: CRAN Package 'PolyPatEx' (Paternity Exclusion in Autopolyploid Species)
 Functions to perform paternity exclusion via allele matching, in
 autopolyploid species having ploidy 4, 6, or 8. The marker data used can be
 genotype data (copy numbers known) or 'allelic phenotype data' (copy numbers
 not known).

Package: r-cran-polypharmacy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-itertools, r-cran-lubridate, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-polypharmacy_1.0.0-1.ca2004.1_all.deb
Size: 226404
MD5sum: f8050115ba6364b99b96c02109820906
SHA1: 47c3039acc803918d580261851c6538872ef649b
SHA256: 1dd2f888f4e533d51c694af96a11f70f18b3bcd925b71e20b9a5e69a0de228bb
SHA512: 181b15c7b838cb0810aa4a2077a81a288c97db876d72fe809ce7ea22722133a9f6c37607db5e36fac2cf7951cdeae0538d8ed2f836026b7d80df545197044176
Homepage: https://cran.r-project.org/package=polypharmacy
Description: CRAN Package 'polypharmacy' (Calculate Several Polypharmacy Indicators)
 Analyse prescription drug deliveries to calculate several indicators of
 polypharmacy corresponding to the various definitions found in the
 literature.  Bjerrum, L., Rosholm, J. U., Hallas, J., & Kragstrup, J. (1997)
 <doi:10.1007/s002280050329>.  Chan, D.-C., Hao, Y.-T., & Wu, S.-C. (2009a)
 <doi:10.1002/pds.1712>.  Fincke, B. G., Snyder, K., Cantillon, C., Gaehde,
 S., Standring, P., Fiore, L., ... Gagnon, D.R. (2005) <doi:10.1002/pds.966>.
 Hovstadius, B., Astrand, B., & Petersson, G. (2009)
 <doi:10.1186/1472-6904-9-11>.  Hovstadius, B., Astrand, B., & Petersson, G.
 (2010) <doi:10.1002/pds.1921>.  Kennerfalk, A., Ruigómez, A., Wallander,
 M.-A., Wilhelmsen, L., & Johansson, S. (2002) <doi:10.1345/aph.1A226>.
 Masnoon, N., Shakib, S., Kalisch-Ellett, L., & Caughey, G. E. (2017)
 <doi:10.1186/s12877-017-0621-2>.  Narayan, S. W., & Nishtala, P. S. (2015)
 <doi:10.1007/s40801-015-0020-y>.  Nishtala, P. S., & Salahudeen, M. S.
 (2015) <doi:10.1159/000368191>.  Park, H. Y., Ryu, H. N., Shim, M. K., Sohn,
 H. S., & Kwon, J. W. (2016) <doi:10.5414/cp202484>.  Veehof, L., Stewart,
 R., Haaijer-Ruskamp, F., & Jong, B. M. (2000) <doi:10.1093/fampra/17.3.261>.

Package: r-cran-polypoly
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-reshape2, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-polypoly_0.0.3-1.ca2004.1_all.deb
Size: 168892
MD5sum: f63826e1a1f3f9a26f45475a7bf096cb
SHA1: c59164c5cb4b136a8c77c8829d1f8119ba5931c9
SHA256: 635f390e5a1c3f6398fd2251c2cace6cf6ea6ef967ae14ae6890de43ac437c3e
SHA512: 98cdc85c5daf86381c1665662b97279fa426aa30824b1d7f44fc8662ac86cdb71db7f3b4945627dab9ed909bed93e336687ed067d80326bf6d0fa630c40ac9a5
Homepage: https://cran.r-project.org/package=polypoly
Description: CRAN Package 'polypoly' (Helper Functions for Orthogonal Polynomials)
 Tools for reshaping, plotting, and manipulating matrices of orthogonal
 polynomials.

Package: r-cran-polyreg
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-polyreg_0.8.0-1.ca2004.1_all.deb
Size: 295704
MD5sum: 3c940014e76ed1d4e1a9654ca6062374
SHA1: 6089c8ca14fff873903a77c39c9e1f1e6ec1ac16
SHA256: edd480731e4bc23848d96afed1263c03fa98fc4de6b497321f8aa47bf2fedaf5
SHA512: f8e6bc5c3e3a150dfb38ea880bd36a962ca1e172dd2d365b78cef02963bf8bb2e482f2238d0bad4f3b8f79287e30b1a07a9171ea0d632dc9d329608680544fe9
Homepage: https://cran.r-project.org/package=polyreg
Description: CRAN Package 'polyreg' (Polynomial Regression)
 Automate formation and evaluation of polynomial regression models. The
 motivation for this package is described in 'Polynomial Regression As an
 Alternative to Neural Nets' by Xi Cheng, Bohdan Khomtchouk, Norman Matloff,
 and Pete Mohanty (<arXiv:1806.06850>).

Package: r-cran-polysegratio
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-polysegratio_0.2-5-1.ca2004.1_all.deb
Size: 337752
MD5sum: 609fe3d0c3ab4b4eb9c13863a098f0d0
SHA1: 6ffa7816ce0ac5ee1f05e3fb45861b9a40345308
SHA256: 046d484188f1c8c552a243c6299e6f61c71fd23d864551da27209a811f165bf1
SHA512: 0516b23731eab90300e1397aafb4523e656e51751a424ca188ffdc0c92b2a2ff750817cf8092aff15b489ba0d687a47098f9934650e6627ae82a10c48854e93b
Homepage: https://cran.r-project.org/package=polySegratio
Description: CRAN Package 'polySegratio' (Simulate and Test Marker Dosage for Dominant Markers inAutopolyploids)
 Perform classic chi-squared tests and Ripol et al(1999) binomial confidence
 interval approach for autopolyploid dominant markers. Also, dominant markers
 may be generated for families of offspring where either one or both of the
 parents possess the marker. Missing values and misclassified markers may be
 generated at random.

Package: r-cran-polysegratiomm
Architecture: all
Version: 0.6-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polysegratio, r-cran-gtools, r-cran-coda, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-polysegratiomm_0.6-4-1.ca2004.1_all.deb
Size: 756556
MD5sum: 58a9def71cdcd8f2ca5c024e53c86325
SHA1: a2b2900edecab383c9fb183eeff626ca8e27ac4e
SHA256: 7b612310d46a36e7d4435fd4e9cedb7d23744ff9752934456bc052af1dce77a7
SHA512: 052b862cc02c994988f92ac0209aa3fafc637918e6a9918ce491256ade17db58735fc906a3d483016b88badd527e584d211dc9629dd52409b426752b84132316
Homepage: https://cran.r-project.org/package=polySegratioMM
Description: CRAN Package 'polySegratioMM' (Bayesian Mixture Models for Marker Dosage in Autopolyploids)
 Fits Bayesian mixture models to estimate marker dosage for dominant markers
 in autopolyploids using JAGS (1.0 or greater) as outlined in Baker et al
 "Bayesian estimation of marker dosage in sugarcane and other autopolyploids"
 (2010, <doi:10.1007/s00122-010-1283-z>). May be used in conjunction with
 polySegratio for simulation studies and comparison with standard methods.

Package: r-cran-polytree
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foci, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-polytree_0.0.1-1.ca2004.1_all.deb
Size: 27412
MD5sum: c8326ce40bb3664cd9864fe3d3942e21
SHA1: 706522170547afaf57f8abbb2e8cc18a8bf1142d
SHA256: 4ee609f0de8e0ab440249ee72b7c6c6eb11b324df33681cfb2827a137b8b7757
SHA512: 31d0fe64231fedd62ccb897d04ee9ea8d8b9366fa3a3bc13b27ba40c3020de0fab5d249ca430e8ca52c8309128603aad6530bcc1d15e29dcd8203024120cd5e3
Homepage: https://cran.r-project.org/package=PolyTree
Description: CRAN Package 'PolyTree' (Estimate Causal Polytree from Data)
 Given a data matrix with rows representing data vectors and columns
 representing variables, produces a directed polytree for the underlying
 causal structure. Based on the algorithm developed in Chatterjee and
 Vidyasagar (2022) <arxiv:2209.07028>. The method is fully nonparametric,
 making no use of linearity assumptions, and especially useful when the
 number of variables is large.

Package: r-cran-polytrend
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-polytrend_1.2-1.ca2004.1_all.deb
Size: 41852
MD5sum: 36e7d70aefb6f1678815cae6c64dd99d
SHA1: 9295eff0ff6ff5f102eac6ffbcbc4c396532104a
SHA256: 97966bd589c963726a6e10df15986db9090a7dcf8a6dc952f64ef11c4f205bde
SHA512: ca701c8c16afddfc4e3dad80f2aae97e5532c7432002d712cbf6c09ffa02764af5da02d0c2ceb2df6aa325c2ac153a2bb1c54d6d5902c137abf156ffb10c706d
Homepage: https://cran.r-project.org/package=PolyTrend
Description: CRAN Package 'PolyTrend' (Trend Classification Algorithm)
 This algorithm classifies the trends into linear, quadratic, cubic,
 concealed and no-trend types. The "concealed trends" are those trends that
 possess quadratic or cubic forms, but the net change from the start of the
 time period to the end of the time period hasn't been significant. The
 "no-trend" category includes simple linear trends with statistically
 in-significant slope coefficient.

Package: r-cran-pom
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-pom_1.1-1.ca2004.1_all.deb
Size: 46108
MD5sum: 816f7a846c2ba83d735e3a311bdcd57c
SHA1: d5312a98cfc07411411fca8ae8d87ff7d877a0b8
SHA256: a3e35193591cd21139a8fcaff8afa76de483c0a0118110503e3a19e69f0314f2
SHA512: 3bbc177a52703402d87ec5da5b4e3b630b99210125b56d7ed1b9f9abb3880288b736fd49267b7b9ea8cadd9b7da4c0e3f9b1cb0a45c312198c7329cff9472986
Homepage: https://cran.r-project.org/package=pom
Description: CRAN Package 'pom' (POM - Patch Occupancy Models)
 This package fits a patch occupancy model

Package: r-cran-pomade
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-future, r-cran-furrr, r-cran-stringr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-covr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pomade_0.2.0-1.ca2004.1_all.deb
Size: 300040
MD5sum: 9f8bfdbc930c9ce5b31333b5af107fe3
SHA1: 3f54d0897fcde792d9a0827cbdfe23f6bf29e450
SHA256: 07b25cd392e47bd9cb579a44998a7323e15bf1a9698bc2f335de4b44f3299204
SHA512: c7d8b8d4b09bc2d321cefb369dfe181b2fa26fad73bb3cc97c0a4b7c6f3a135b8d1783eb1f13d10bf5ab3c50ea5c33804b9902f4a77fe1cebeeaef338bf115da
Homepage: https://cran.r-project.org/package=POMADE
Description: CRAN Package 'POMADE' (Power for Meta-Analysis of Dependent Effects)
 Provides functions to compute and plot power levels, minimum detectable
 effect sizes, and minimum required sample sizes for the test of the overall
 average effect size in meta-analysis of dependent effect sizes.

Package: r-cran-pomcheckr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-assertthat, r-cran-rlang, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pomcheckr_0.1.1-1.ca2004.1_all.deb
Size: 275696
MD5sum: 9400f3e41f0bee836699492ea14a1d6e
SHA1: d8960bd8e1c02dc05b170d232ba3019f5f6654b8
SHA256: 33932bf5ed7c7a27b393aac7d78ecf167b02ad00d4e4024658456382d5565272
SHA512: 6662a33675a2cbc2af2255ffc4dd782b34730e02dac6de75be2ed52513c82316e94a5bcfd77d5ff889a1ee6bca6530f6da2754bea1464e64ca1c8b84d95941ff
Homepage: https://cran.r-project.org/package=pomcheckr
Description: CRAN Package 'pomcheckr' (Graphical Check for Proportional Odds Assumption)
 Implements the method described at the UCLA Statistical Consulting site
 <https://stats.idre.ucla.edu/r/dae/ordinal-logistic-regression/> for
 checking if the proportional odds assumption holds for a cumulative logit
 model.

Package: r-cran-pomic
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pomic_1.0.4-1.ca2004.1_all.deb
Size: 38836
MD5sum: 9ea58e04714b59f349f1aac667d0c37d
SHA1: c65778158327dde3290327899af7aeacee0bbbd1
SHA256: 51940c1108c28e376a4050494a6935e43d5676afe61d9ea94513b54a7de97458
SHA512: 05163253cef5112064c3fe80a923da1ca85da6853f420e76c677bfee06c50505a75753b070204bb8f3b4ad3d5b32316408e5da5bada8af64822ef5a60ddd3f63
Homepage: https://cran.r-project.org/package=Pomic
Description: CRAN Package 'Pomic' (Pattern Oriented Modelling Information Criterion)
 Calculations of an information criterion are proposed to check the quality
 of simulations results of Agent-based models (ABM/IBM) or other non-linear
 rule-based models. The POMDEV measure (Pattern Oriented Modelling DEViance)
 is based on the Kullback-Leibler divergence and likelihood theory. It
 basically indicates the deviance of simulation results from field
 observations. Once POMDEV scores and metropolis-hasting sampling on
 different model versions are effectuated, POMIC scores (Pattern Oriented
 Modelling Information Criterion) can be calculated. This method could be
 further developed to incorporate multiple patterns assessment. Piou C, U
 Berger and V Grimm (2009) <doi:10.1016/j.ecolmodel.2009.05.003>.

Package: r-cran-pomodoro
Architecture: all
Version: 3.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1041
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-caret, r-cran-gbm, r-cran-randomforest, r-cran-proc, r-cran-ipred
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pomodoro_3.8.0-1.ca2004.1_all.deb
Size: 877368
MD5sum: a9f6d3de034de488d6d8c99953ccb8cc
SHA1: a382e49f11d3a478ea730736b992ee99af43a54e
SHA256: 16b47003c5d99c06e1a898228e7cff553b18d85ff205a870b3e91fd94aa0ecfa
SHA512: 4c83dfd9b07d1500292784df2ec3ce39c7b7e83cc503b5d9f540e14a00f8e43fad24266dc2d731a43c1e4213bf9199a6ca323baba255be621b4779c07a2e973e
Homepage: https://cran.r-project.org/package=pomodoro
Description: CRAN Package 'pomodoro' (Predictive Power of Linear and Tree Modeling)
 Runs generalized and multinominal logistic (GLM and MLM) models, as well as
 random forest (RF), Bagging (BAG), and Boosting (BOOST). This package prints
 out to predictive outcomes easy for the selected data and data splits.

Package: r-cran-pompom
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1375
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-ggplot2, r-cran-reshape2, r-cran-qgraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pompom_0.2.1-1.ca2004.1_all.deb
Size: 1270868
MD5sum: 54e4a48a15554d2b73b2123f5c39192f
SHA1: 50f8e2dee56b9b1ada58114962c5fd81f803f42d
SHA256: 6371542703155826aecc775064e90f3f71cdf24374a50df46dac407fd5474174
SHA512: e9d1542a46000256c9a33db2dd00ebe5a6b0b35c7a8b08a258051e74a150ad3babaf9d4a2ac888d53476186d97fcd45d10b6d88252cc43e4d4deb6653341ce30
Homepage: https://cran.r-project.org/package=pompom
Description: CRAN Package 'pompom' (Person-Oriented Method and Perturbation on the Model)
 An implementation of a hybrid method of person-oriented method and
 perturbation on the model. Pompom is the initials of the two methods. The
 hybrid method will provide a multivariate intraindividual variability metric
 (iRAM). The person-oriented method used in this package refers to uSEM
 (unified structural equation modeling, see Kim et al., 2007, Gates et al.,
 2010 and Gates et al., 2012 for details). Perturbation on the model was
 conducted according to impulse response analysis introduced in Lutkepohl
 (2007).  Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007)
 <doi:10.1002/hbm.20259>.  Gates, K. M., Molenaar, P. C. M., Hillary, F. G.,
 Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>.
 Gates, K. M., & Molenaar, P. C. M. (2012)
 <doi:10.1016/j.neuroimage.2012.06.026>.  Lutkepohl, H. (2007,
 ISBN:3540262393).

Package: r-cran-poms
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-data.table, r-cran-mass, r-cran-phangorn, r-cran-phylolm, r-cran-xnomial
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poms_1.0.1-1.ca2004.1_all.deb
Size: 110016
MD5sum: f9a445c868bb99d6d9322ae722ff42af
SHA1: 3a8f20d95a8cd39b54e057b9a572dcd3d7af7f9e
SHA256: 47e74879782ff58f92ada3915c24813ec2fbfe4bfaec88b3af92a51c9911783d
SHA512: c316b531a92ec01cb27e9e0df82321ff47599fbb73b3ced922e740afae761b7aa81fcb0209338ee7262dfc25bde67a91a3d2380e51f8e849d5a4a214716db80a
Homepage: https://cran.r-project.org/package=POMS
Description: CRAN Package 'POMS' (Phylogenetic Organization of Metagenomic Signals)
 Code to identify functional enrichments across diverse taxa in phylogenetic
 tree, particularly where these taxa differ in abundance across samples in a
 non-random pattern. The motivation for this approach is to identify
 microbial functions encoded by diverse taxa that are at higher abundance in
 certain samples compared to others, which could indicate that such functions
 are broadly adaptive under certain conditions. See 'GitHub' repository for
 tutorial and examples: <https://github.com/gavinmdouglas/POMS/wiki>.
 Citation: Gavin M. Douglas, Molly G. Hayes, Morgan G. I. Langille, Elhanan
 Borenstein (2022) <doi:10.1093/bioinformatics/btac655>.

Package: r-cran-poobly
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plm
Suggests: r-cran-rfast, r-cran-rfast2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poobly_0.1.2-1.ca2004.1_all.deb
Size: 261652
MD5sum: f954cb16a18a857113806e11f1f88f54
SHA1: 66e7ab1c16a62e4d26beb8fe3c11298cf554c4ac
SHA256: 073c5ed4fd7f7fb6877bcdd8e3f371d6df85d1ebfb7d696501b7d376b942af8e
SHA512: fcd7c3368bc42c816cd94bcaaf05d270e2d1fb225c94ee4e4d36ecc6a681545ca1a7e481081cfc77f668380a38c07d5ba1c0e2909bfcf67d29f6a4266238978a
Homepage: https://cran.r-project.org/package=poobly
Description: CRAN Package 'poobly' (Poolability Tests in Panel Data)
 Homogeneity tests of the coefficients in panel data. Currently, only the
 Hsiao test for determining coefficient homogeneity between the panel data
 individuals is implemented, as described in Hsiao (2022), "Analysis of Panel
 Data" (<doi:10.1017/9781009057745>).

Package: r-cran-pool
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-later, r-cran-r6, r-cran-rlang
Suggests: r-cran-covr, r-cran-dbplyr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-shiny, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-pool_1.0.4-1.ca2004.1_all.deb
Size: 205192
MD5sum: 50e5485102b627753685fa2845a477da
SHA1: 066ccf2119a016a60e7c0280b748a00af11f750a
SHA256: 1b8c602dfa3dd4a697d9e5a1f205029113c454a934ed19c8d8caaa601b1297b9
SHA512: 1c1944936a3c979857bd9b68ce7c5a9aa0b72dab516467647f149b8f3071cb666bf48808ba13774a27f17ea0200ec5845ecb5abd4956b8d89d6503e6dd2f0e33
Homepage: https://cran.r-project.org/package=pool
Description: CRAN Package 'pool' (Object Pooling)
 Enables the creation of object pools, which make it less computationally
 expensive to fetch a new object. Currently the only supported pooled objects
 are 'DBI' connections.

Package: r-cran-poolabc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7095
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-locfit, r-cran-metricsweighted, r-cran-nnet, r-cran-poolhelper, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scrm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-poolabc_1.0.0-1.ca2004.1_all.deb
Size: 4099436
MD5sum: 66649a7bc7b21b704726dc2d3dde2056
SHA1: 97c990d052aa07dfc0b9ec77bdbb727b1ea9a089
SHA256: 4d578cd373428e9f1e9d6617252d5955ee5031a0fe88c05c9c4e28de56777a00
SHA512: 1e49df4e272b9d73ca03600ac5f66c0a0be42f5929820c677bc3607dabfe86e99c713fffbd1adf03ab26ebd8d8bb2bd07fd533321c23fa17765905f5f42be08e
Homepage: https://cran.r-project.org/package=poolABC
Description: CRAN Package 'poolABC' (Approximate Bayesian Computation with Pooled Sequencing Data)
 Provides functions to simulate Pool-seq data under models of demographic
 formation and to import Pool-seq data from real populations.  Implements two
 ABC algorithms for performing parameter estimation and model selection using
 Pool-seq data. Cross-validation can also be performed to assess the accuracy
 of ABC estimates and model choice.  Carvalho et al., (2022)
 <doi:10.1111/1755-0998.13834>.

Package: r-cran-poolbal
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1168
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poolbal_0.1-0-1.ca2004.1_all.deb
Size: 1134420
MD5sum: 676659062c8df0dfe9e36163f6c9d85c
SHA1: c0b61dee0fa42b1c40c2de86f9864e9073c088b4
SHA256: 57cdac31b898d769837fc625c922397b3bc0b0ea227604420d18abae71264f7e
SHA512: e5335e42d16f2e4e776aed783dc5cb81a3ffeacb37f809d5fd810a208f15d0b4a0d2adeb930b1949955264ac8ffbc1769779ee59e5c79acbaa7a4db9c5d21a61
Homepage: https://cran.r-project.org/package=PoolBal
Description: CRAN Package 'PoolBal' (Balancing Central and Marginal Rejection of Pooled p-Values)
 When using pooled p-values to adjust for multiple testing, there is an
 inherent balance that must be struck between rejection based on weak
 evidence spread among many tests and strong evidence in a few, explored in
 Salahub and Olford (2023) <arXiv:2310.16600>. This package provides
 functionality to compute marginal and central rejection levels and the
 centrality quotient for p-value pooling functions and provides
 implementations of the chi-squared quantile pooled p-value (described in
 Salahub and Oldford (2023)) and a proposal from Heard and Rubin-Delanchy
 (2018) <doi:10.1093/biomet/asx076> to control the quotient's value.

Package: r-cran-pooldilutionr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-pooldilutionr_1.0.0-1.ca2004.1_all.deb
Size: 103140
MD5sum: 26c05955291b2be023b0481a0306b504
SHA1: df670a0e7de987dcc07a46a90c48e6aed3630fda
SHA256: 98a179fbdb3ea527c79895683e5a6c9af5e17f303f09af23c789645d40940250
SHA512: b6671924327dabc6700905eb79e981990d882604b12db386cc66da9481b7d93dc333a392a1acf629a2bc1bfa9c09d372db799942a15e27cc39dff833f334a4fe
Homepage: https://cran.r-project.org/package=PoolDilutionR
Description: CRAN Package 'PoolDilutionR' (Calculate Gross Biogeochemical Flux Rates from Isotope PoolDilution Data)
 Pool dilution is a isotope tracer technique wherein a biogeochemical pool is
 artifically enriched with its heavy isotopologue and the gross productive
 and consumptive fluxes of that pool are quantified by the change in pool
 size and isotopic composition over time.  This package calculates gross
 production and consumption rates from closed-system isotopic pool dilution
 time series data. Pool size concentrations and heavy isotope (e.g., 15N)
 content are measured over time and the model optimizes production rate (P)
 and the first order rate constant (k) by minimizing error in the
 model-predicted total pool size, as well as the isotopic signature. The
 model optimizes rates by weighting information against the signal:noise
 ratio of concentration and heavy- isotope signatures using measurement
 precision as well as the magnitude of change over time. The calculations
 used here are based on von Fischer and Hedin (2002)
 <doi:10.1029/2001GB001448> with some modifications.

Package: r-cran-pooledcohort
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue
Suggests: r-cran-testthat, r-cran-covr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-pooledcohort_0.0.2-1.ca2004.1_all.deb
Size: 87020
MD5sum: c30ce0ee2a8f781bcfcf4c64e537e217
SHA1: 6f800161c210f21f7287733ed6500227e777a852
SHA256: ff20f17c1ab7c339e1ed826de8b00904db1bc1c74faedf7fd5e0d94bb13718e8
SHA512: a51a57a2c86ed4a1f34b4970e51b888a271ca73cd47b8ffb03431c622e96f15ab39a5893ad4244f68c91dbceaeda570222697dd0a6d5390b2a37f79fa92332d2
Homepage: https://cran.r-project.org/package=PooledCohort
Description: CRAN Package 'PooledCohort' (Predicted Risk for CVD using Pooled Cohort Equations, PREVENTEquations, and Other Contemporary CVD Risk Calculators)
 The 2017 American College of Cardiology and American Heart Association blood
 pressure guideline recommends using 10-year predicted atherosclerotic
 cardiovascular disease risk to guide the decision to initiate or intensify
 antihypertensive medication. The guideline recommends using the Pooled
 Cohort risk prediction equations to predict 10-year atherosclerotic
 cardiovascular disease risk. This package implements the original Pooled
 Cohort risk prediction equations and also incorporates updated versions
 based on more contemporary data and statistical methods.

Package: r-cran-pooledmeangroup
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pooledmeangroup_1.0-1.ca2004.1_all.deb
Size: 91020
MD5sum: 7e5e8cec5ea03328c7e4fab71b0fc4c7
SHA1: f52d98a539594cdff4773b3c802fcceaa9bacd94
SHA256: b0672f9440bf6eb9fa99dd6adee77eb84e62ff6827fbcea6c60da081c9d235a9
SHA512: 356d99511835a21aa7afd6118a099873d80901d14b2f4b5030a7ebfc24ebc7ddaa0c5a6ea289b1ee9c15b5be362265dd3cbe0639a7a810034fd0d905901d151e
Homepage: https://cran.r-project.org/package=PooledMeanGroup
Description: CRAN Package 'PooledMeanGroup' (Pooled Mean Group Estimation of Dynamic Heterogenous Panels)
 Calculates the pooled mean group (PMG) estimator for dynamic panel data
 models, as described by Pesaran, Shin and Smith (1999)
 <doi:10.1080/01621459.1999.10474156>.

Package: r-cran-pooledpeaks
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4447
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-fragman, r-cran-magrittr, r-cran-pdftools, r-cran-qpdf, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-plyr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pooledpeaks_1.2.2-1.ca2004.1_all.deb
Size: 1649504
MD5sum: 88cbd09cd017cc8caa3939cf44d599d4
SHA1: 7beebf9019a298b424d4d1ea9fda628f34be43ac
SHA256: 69062a3cd463a096eec5847d5adb485c057115f9d0a341816505b238a3afc01c
SHA512: c7dedd095f1d063eec2b64860991bd67364e968e280e880152da46e8744b0331f786128bda5a52053b6f074b2ca0bd4a3592f6a7c5a3084adf8a0ee5d1c04845
Homepage: https://cran.r-project.org/package=pooledpeaks
Description: CRAN Package 'pooledpeaks' (Genetic Analysis of Pooled Samples)
 Analyzing genetic data obtained from pooled samples.  This package can read
 in Fragment Analysis output files, process the data, and score peaks, as
 well as facilitate various analyses, including cluster analysis, calculation
 of genetic distances and diversity indices, as well as bootstrap resampling
 for statistical inference. Specifically tailored to handle genetic data
 efficiently, researchers can explore population structure, genetic
 differentiation, and genetic relatedness among samples. We updated some
 functions from Covarrubias-Pazaran et al.  (2016)
 <doi:10.1186/s12863-016-0365-6> to allow for the use of new file formats and
 referenced the following to write our genetic analysis functions: Long et
 al. (2022) <doi:10.1038/s41598-022-04776-0>, Jost (2008)
 <doi:10.1111/j.1365-294x.2008.03887.x>, Nei (1973)
 <doi:10.1073/pnas.70.12.3321>, Foulley et al. (2006)
 <doi:10.1016/j.livprodsci.2005.10.021>, Chao et al. (2008)
 <doi:10.1111/j.1541-0420.2008.01010.x>.

Package: r-cran-poolhelper
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mcmcpack, r-cran-metrics, r-cran-scrm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poolhelper_1.1.0-1.ca2004.1_all.deb
Size: 304084
MD5sum: 269dfd7715868ad7f2688c7068ed6354
SHA1: fabb43330a7a8e67b14e5769c9c33a2d173cb80e
SHA256: 503a3cbbe9a592d894a01da14e21cfb3a43ec49bdb43bcdfa5d4ce73372733cd
SHA512: d41ae258637f857ffb492c96934c039490b427a4ba42bed590e0a2af7564af450c1f7a49c721afdcf3a7e61d5b60f2bb89e512f80aa110555b0a4bd475f52b08
Homepage: https://cran.r-project.org/package=poolHelper
Description: CRAN Package 'poolHelper' (Simulates Pooled Sequencing Genetic Data)
 Simulates pooled sequencing data under a variety of conditions.  Also allows
 for the evaluation of the average absolute difference between allele
 frequencies computed from genotypes and those computed from pooled data.
 Carvalho et al., (2022) <doi:10.1101/2023.01.20.524733>.

Package: r-cran-pooling
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature, r-cran-data.table, r-cran-dplyr, r-cran-dvmisc, r-cran-ggplot2, r-cran-ggrepel, r-cran-mvtnorm, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-pooling_1.1.2-1.ca2004.1_all.deb
Size: 536480
MD5sum: c06237a24f63d5cc33c0197d6c76311f
SHA1: ec0038fde406ba7414f0a5caffd909a41bae1a69
SHA256: 9d90167082a0752e3fe16fb9e234c489d03e9ffa1a8605877749e51e19ba85e7
SHA512: ada5ae0819cf5f87b3808b78cd0af55af010c70b40fb51205e8489b99ddddd807abba02c1b16d906c7e433c4dc7341aace2ffa45e92e5b97cbdc645b19eeccc2
Homepage: https://cran.r-project.org/package=pooling
Description: CRAN Package 'pooling' (Fit Poolwise Regression Models)
 Functions for calculating power and fitting regression models in studies
 where a biomarker is measured in "pooled" samples rather than for each
 individual. Approaches for handling measurement error follow the framework
 of Schisterman et al. (2010) <doi:10.1002/sim.3823>.

Package: r-cran-poolr
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mathjaxr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-poolr_1.2-0-1.ca2004.1_all.deb
Size: 246320
MD5sum: 21780825ffb59c2d5f90d8379bb5f499
SHA1: 3c43dd61f919da140bc14f159405955842ae29ea
SHA256: ff52714589cfaee9ec8a6899bbc347e0908caf872bd1ab5d86733439fc2fd346
SHA512: 37374234484256a9a4f98fc7a86fbc8b7c8ac713637b032de238af8f2a318931dc50c4d815ec284166e129bb5fd851cd667211e1372548eb918140b25e648b04
Homepage: https://cran.r-project.org/package=poolr
Description: CRAN Package 'poolr' (Methods for Pooling P-Values from (Dependent) Tests)
 Functions for pooling/combining the results (i.e., p-values) from
 (dependent) hypothesis tests. Included are Fisher's method, Stouffer's
 method, the inverse chi-square method, the Bonferroni method, Tippett's
 method, and the binomial test. Each method can be adjusted based on an
 estimate of the effective number of tests or using empirically derived null
 distribution using pseudo replicates. For Fisher's, Stouffer's, and the
 inverse chi-square method, direct generalizations based on multivariate
 theory are also available (leading to Brown's method, Strube's method, and
 the generalized inverse chi-square method). An introduction can be found in
 Cinar and Viechtbauer (2022) <doi:10.18637/jss.v101.i01>.

Package: r-cran-poolvim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-empiricalbrownsmethod, r-cran-hmisc, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-poolvim_1.0.0-1.ca2004.1_all.deb
Size: 25608
MD5sum: 53d646d720b537fd81aa7b9a47384aa4
SHA1: ab13ff8adf85220d30c6b4cc7178046635f454bc
SHA256: c7987edda2b8825b3028a3789f7c49007a9c9512e9d6f9866d2ce60710735aef
SHA512: 3ac454ebe5146147262d8bbf0a0d03628b3c7745e497ba3f19fb5f09422fd485c0958659f79de72fb429691e2d5cb241e2c781c03ef4d5822f10e077abb4eb4c
Homepage: https://cran.r-project.org/package=poolVIM
Description: CRAN Package 'poolVIM' (Gene-Based Association Tests using the Actual Impurity Reduction(AIR) Variable Importance)
 Gene-based association tests using the actual impurity reduction (AIR)
 variable importance. The function aggregates AIR importance measures from a
 group of SNPs or probes and outputs a p-value for each gene. The procedures
 builds upon the method described in <doi:10.1093/Bioinformatics/Bty373> and
 will be published soon.

Package: r-cran-poorman
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-poorman_0.2.7-1.ca2004.1_all.deb
Size: 376432
MD5sum: 437ed0882559937578f9453127a99f28
SHA1: e91eb1dc1296cd19e06b121acc101abd14d13418
SHA256: 81ea3f6ca8068b739844c916b80a9aae1260aef8f9ec4980e9478566366b7ed9
SHA512: b3d572ea5e731d71d8d9a2d68634bc863a2e1b349a5ed932e1ec0b4bd813343e6ea5476cfebc3adbc218ad1b22471380b9c50e1f91c9f4b4fb0c11fd27d0d06f
Homepage: https://cran.r-project.org/package=poorman
Description: CRAN Package 'poorman' (A Poor Man's Dependency Free Recreation of 'dplyr')
 A replication of key functionality from 'dplyr' and the wider 'tidyverse'
 using only 'base'.

Package: r-cran-pop
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-mass
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pop_0.1-1.ca2004.1_all.deb
Size: 117560
MD5sum: 27459f3ab91d564784581c93b8c74b41
SHA1: 99627f7ec024dfc0f2fb8c345cc2087ce2d60526
SHA256: ae521d06792147550ad59514437e3523607a8e796a60bed146f5bfd4003cd810
SHA512: 1ce7eb347d39c4aaf39a69c155539a9ddd42f273f37f97b49addc7b687f6e8296a8e4377f7023d98cff5b890d3e5ca1974d06bd4ddcc959f44d0526b571d7a2e
Homepage: https://cran.r-project.org/package=pop
Description: CRAN Package 'pop' (A Flexible Syntax for Population Dynamic Modelling)
 Population dynamic models underpin a range of analyses and applications in
 ecology and epidemiology. The various approaches for analysing population
 dynamics models (MPMs, IPMs, ODEs, POMPs, PVA) each require the model to be
 defined in a different way. This makes it difficult to combine different
 modelling approaches and data types to solve a given problem. 'pop' aims to
 provide a flexible and easy to use common interface for constructing
 population dynamic models and enabling to them to be fitted and analysed in
 lots of different ways.

Package: r-cran-popbayes
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2127
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r2jags, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-popbayes_1.2.0-1.ca2004.1_all.deb
Size: 1400324
MD5sum: 96ebd91951ced91e00b0f083e8fedc20
SHA1: 043207c47a1c1e904365b92bf232f5c2635c91c5
SHA256: b9840119aaf25496d9d40ec2c025b86675d4653568c49f05595da387f7df730b
SHA512: f8d17817f12c49bbfb51d2039008b17e0d27ab7ba6ee142ecbd0ff2cb945ada8a7a51b49f9106d95a1af19a4f2c36d9acf3eb68a3945f187aa4c185698ffccad
Homepage: https://cran.r-project.org/package=popbayes
Description: CRAN Package 'popbayes' (Bayesian Model to Estimate Population Trends from Counts Series)
 Infers the trends of one or several animal populations over time from series
 of counts. It does so by accounting for count precision (provided or
 inferred based on expert knowledge, e.g. guesstimates), smoothing the
 population rate of increase over time, and accounting for the maximum
 demographic potential of species. Inference is carried out in a Bayesian
 framework. This work is part of the FRB-CESAB working group AfroBioDrivers
 <https://www.fondationbiodiversite.fr/en/the-frb-in-action/programs-and-projects/le-cesab/afrobiodrivers/>.

Package: r-cran-popbio
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-popbio_2.8-1.ca2004.1_all.deb
Size: 297448
MD5sum: 3679b8023481f822d5d9926f7662301d
SHA1: 3bc8a138138470df639229f00f71f34a45d4ca33
SHA256: cbca7efbc06ef015bbd026098c3959c3508d98a69454fefc74cbdd89d7dc9f3c
SHA512: 2d0e5beb802a646ae4748272d37e133121ef591d5f391302e5a09dfacbf9e16ee35d161218601ba5d37631c6b07d965fb79e6a76c4b584819db123669380e031
Homepage: https://cran.r-project.org/package=popbio
Description: CRAN Package 'popbio' (Construction and Analysis of Matrix Population Models)
 Construct and analyze projection matrix models from a demography study of
 marked individuals classified by age or stage. The package covers methods
 described in Matrix Population Models by Caswell (2001) and Quantitative
 Conservation Biology by Morris and Doak (2002).

Package: r-cran-popcomm
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seurat, r-cran-broom, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-matrix, r-cran-ggplot2, r-cran-ggpubr, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-scales, r-cran-igraph, r-cran-pbmcapply
Filename: pool/dists/focal/main/r-cran-popcomm_0.1.0.1-1.ca2004.1_all.deb
Size: 4384752
MD5sum: 24b04c8e86e3d2f7a1df1d3ed6aed04d
SHA1: fcdb7a30969116a8e8aae9559d6191cbbf05f5f4
SHA256: 9642026d9fb6ba0c371d70eb2e589b30230a189f8b7b4e65604906fdfb9e73ee
SHA512: b1be0303a0a05e2efd0a9934132f1390af4fd71fab971b2dc7cc576f424b23199b4adc1d786bdc27ca9f4fee020ba70f5014fb687f2d4b12575833e155e3d87f
Homepage: https://cran.r-project.org/package=PopComm
Description: CRAN Package 'PopComm' (Population-Level Cell-Cell Communication Analysis Tools)
 Facilitates population-level analysis of ligand-receptor (LR) interactions
 using large-scale single-cell transcriptomic data. Identifies significant LR
 pairs and quantifies their interactions through correlation-based filtering
 and projection score computations. Designed for large-sample single-cell
 studies, the package employs statistical modeling, including linear
 regression, to investigate LR relationships between cell types. It provides
 a systematic framework for understanding cell-cell communication, uncovering
 regulatory interactions and signaling mechanisms.  Offers tools for LR
 pair-level, sample-level, and differential interaction analyses, with
 comprehensive visualization support to aid biological interpretation.  The
 methodology is described in a manuscript currently under review and will be
 referenced here once published or publicly available.

Package: r-cran-popdemo
Architecture: all
Version: 1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5681
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-expm, r-cran-mcmcpack
Suggests: r-cran-knitr, r-cran-magick, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-popdemo_1.3-2-1.ca2004.1_all.deb
Size: 3798904
MD5sum: ea76c79b46d95165255f197a2642171f
SHA1: dfdc161e98ec9f9c7eb8419fcbce6c7d5e0a8457
SHA256: 8018f35db6dc7f18893e288952e5826d3932893b9b8667d31caa322b24245cc3
SHA512: bd2229676af7eb9f0189bd5d82717995e4fc25ba23cd3fedb91752ed9f2b51fcccbf688fe02eafe6114e43deab5561853f71396518f9091d9d23ab23071d48cd
Homepage: https://cran.r-project.org/package=popdemo
Description: CRAN Package 'popdemo' (Demographic Modelling Using Projection Matrices)
 Tools for modelling populations and demography using matrix projection
 models, with deterministic and stochastic model implementations. Includes
 population projection, indices of short- and long-term population size and
 growth, perturbation analysis, convergence to stability or stationarity, and
 diagnostic and manipulation tools.

Package: r-cran-popdesign
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-iso, r-cran-knitr, r-cran-magick
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-popdesign_1.1.0-1.ca2004.1_all.deb
Size: 377000
MD5sum: c3afa1e19ee1e0af196410ee7ee8836c
SHA1: 3940b40ab71a132c099fc894140c866c8c87bf6e
SHA256: e4b3e2603b73aaab1b5d68394531034cf27d70484b342c8bdc4f4e118368b488
SHA512: 078380b7e233a4870f9b2a0f994ad791dce931f30dc80fd83543ac3f31f22191a6251af539702e97cd785a71b0b92d5d44583f63dcc264454db99dd18ca90e47
Homepage: https://cran.r-project.org/package=PoPdesign
Description: CRAN Package 'PoPdesign' (Posterior Predictive (PoP) Design for Phase I Clinical Trials)
 The primary goal of phase I clinical trials is to find the maximum tolerated
 dose (MTD). To reach this objective, we introduce a new design for phase I
 clinical trials, the posterior predictive (PoP) design. The PoP design is an
 innovative model-assisted design that is as simply as the conventional
 algorithmic designs as its decision rules can be pre-tabulated prior to the
 onset of trial, but is of more flexibility of selecting diverse target
 toxicity rates and cohort sizes. The PoP design has desirable properties,
 such as coherence and consistency. Moreover, the PoP design provides better
 empirical performance than the BOIN and Keyboard design with respect to high
 average probabilities of choosing the MTD and slightly lower risk of
 treating patients at subtherapeutic or overly toxic doses.

Package: r-cran-poped
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-mvtnorm, r-cran-dplyr, r-cran-codetools, r-cran-magrittr, r-cran-boot, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-gtools
Suggests: r-cran-testthat, r-cran-hmisc, r-cran-nlme, r-cran-ga, r-cran-desolve, r-cran-rcpp, r-cran-shiny, r-cran-rhandsontable, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-covr, r-cran-devtools, r-cran-mrgsolve
Filename: pool/dists/focal/main/r-cran-poped_0.7.0-1.ca2004.1_all.deb
Size: 2554716
MD5sum: 89f6f12fb5ec8f36bb4e9a4d1082b41d
SHA1: 624c3ae9d6e633ece47d3cd58a4f62ab4f84bb38
SHA256: 3013077d81a80ae40014bc5fe1f93074f6c58ded39a944ef0a6ae15a7a603036
SHA512: 336ebc0217e0db56f01fe1ce77d1ab6fad6b157b244cfb6bbbd84881cb9fdd84d0c77e867ecc8f99ab748f37ca472480738a033ff8fcfda7ab718de762285aa0
Homepage: https://cran.r-project.org/package=PopED
Description: CRAN Package 'PopED' (Population (and Individual) Optimal Experimental Design)
 Optimal experimental designs for both population and individual studies
 based on nonlinear mixed-effect models. Often this is based on a computation
 of the Fisher Information Matrix. This package was developed for
 pharmacometric problems, and examples and predefined models are available
 for these types of systems. The methods are described in Nyberg et al.
 (2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
 <doi:10.1016/S0169-2607(03)00073-7>.

Package: r-cran-popepi
Architecture: all
Version: 0.4.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2681
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-epi, r-cran-survival
Suggests: r-cran-covr, r-cran-knitr, r-cran-mstate, r-cran-relsurv, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-popepi_0.4.13-1.ca2004.1_all.deb
Size: 1471704
MD5sum: d4aa908b276f794b9c8b45085154eeed
SHA1: 91605b2eb925bd692be491b9b751ce71d8e63e73
SHA256: 3112749397a774097ac2b39d46e072ca1eb62972f55a6de386216ec47ee7a273
SHA512: 279565cf963747ea51c4b74eb9476891e883b975d7df5e9803dfd27bc0d563cef84f0728948aa00125311598df5863df0c8f78722831e2f150619199da049f5b
Homepage: https://cran.r-project.org/package=popEpi
Description: CRAN Package 'popEpi' (Functions for Epidemiological Analysis using Population Data)
 Enables computation of epidemiological statistics, including those where
 counts or mortality rates of the reference population are used.  Currently
 supported: excess hazard models (Dickman, Sloggett, Hills, and Hakulinen
 (2012) <doi:10.1002/sim.1597>), rates, mean survival times, relative/net
 survival (in particular the Ederer II (Ederer and Heise (1959)) and Pohar
 Perme (Pohar Perme, Stare, and Esteve (2012)
 <doi:10.1111/j.1541-0420.2011.01640.x>) estimators), and standardized
 incidence and mortality ratios, all of which can be easily adjusted for by
 covariates such as age. Fast splitting and aggregation of 'Lexis' objects
 (from package 'Epi') and other computations achieved using 'data.table'.

Package: r-cran-popgenhelpr
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-reshape2, r-cran-rlang, r-cran-scatterpie, r-cran-spdata, r-cran-spdep, r-cran-vcfr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-popgenhelpr_1.3.2-1.ca2004.1_all.deb
Size: 681824
MD5sum: b2457246fcc618a24e721f4261f12612
SHA1: 76b262a78533539950f9b2ff8b5d092b176fdd67
SHA256: f7e21c03d1701cedeab8cad56e497ff9edb0dbe2010c7195e9f170a16ccc198d
SHA512: f55da9607aea91e39e3fac160fbb77044607ea856e4b98d2e99065848aa40211a756ae123b135b5916e107bbc6b1eb5c3d3d33af6d92a9f6744307b7a452b817
Homepage: https://cran.r-project.org/package=PopGenHelpR
Description: CRAN Package 'PopGenHelpR' (Streamline Population Genomic and Genetic Analyses)
 Estimate commonly used population genomic statistics and generate
 publication quality figures. 'PopGenHelpR' uses vcf, 'geno' (012), and csv
 files to generate output.

Package: r-cran-popgenr
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-popgenr_0.2-1.ca2004.1_all.deb
Size: 54376
MD5sum: 471d7520eff707788fe9c56c9c74d63c
SHA1: e4117175b4d236c10bec1db64b2b6c6c2c08ad6c
SHA256: cbb9d9b4c726ab36b5411e57f200ef1d19189476106786d4eb2a824370a20f12
SHA512: 5228b03fc2a6409854abba0301993ae36c81bc3a8323ea058513eb05abc93bdcf637bd8568414c33a739f0c7de7af4c21137f885fd03393a92ff5d83cff128b3
Homepage: https://cran.r-project.org/package=popgenr
Description: CRAN Package 'popgenr' (Accompaniment to Population Genetics with R: An Introduction forLife Scientists)
 Provides several data sets and functions to accompany the book "Population
 Genetics with R: An Introduction for Life Scientists" (2021,
 ISBN:9780198829546).

Package: r-cran-popgenreport
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2801
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-adegenet, r-cran-lattice, r-cran-rgooglemaps, r-cran-gap, r-cran-calibrate, r-cran-xtable, r-cran-plyr, r-cran-dismo, r-cran-reshape2, r-cran-ggplot2, r-cran-r.utils, r-cran-ade4, r-cran-pegas, r-cran-genetics, r-cran-gdistance, r-cran-vegan, r-cran-sp, r-cran-mmod, r-cran-ggally, r-cran-raster
Suggests: r-cran-sf
Filename: pool/dists/focal/main/r-cran-popgenreport_3.1-1.ca2004.1_all.deb
Size: 2411544
MD5sum: c3a1f373e8ab8eceeeff9b381969f2d0
SHA1: c6a12df58e3ad1c572ac7e30a9c0fe126a14b018
SHA256: 6fff6a8fae40b86fbea6745ac67d469b70fe21dcc615f036e8bf533f88d4d453
SHA512: 9129dec6dec46dc706c3b01e3ebf0df92aaf82939ccfe314325cfe528f7b10b2e37619105f3979941d628536e4a36ccca3125fad17fe9a85e74ffd718b55b7c0
Homepage: https://cran.r-project.org/package=PopGenReport
Description: CRAN Package 'PopGenReport' (A Simple Framework to Analyse Population and Landscape GeneticData)
 Provides beginner friendly framework to analyse population genetic data.
 Based on 'adegenet' objects it uses 'knitr' to create comprehensive reports
 on spatial genetic data.  For detailed information how to use the package
 refer to the comprehensive tutorials or visit
 <http://www.popgenreport.org/>.

Package: r-cran-popinf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-randomforest, r-cran-mass
Filename: pool/dists/focal/main/r-cran-popinf_1.0.0-1.ca2004.1_all.deb
Size: 47624
MD5sum: 445663f36a6bb0835b2a533b100c6035
SHA1: 4d9c15681899b4ebd468faced6dfbc34f4e35b0e
SHA256: e3a7af46ba7d52e5ac58db311c21341b6b2b6655e18f8c5b9e7862d873b00f49
SHA512: b37d0fdcfe69e35756313cfb1ca4ffe1405a45cbd525654a4159beb85cf5e0d96d68f51f2d19a74610dc8b77a793699a6e9d5adaf5f1a63cf2d4808c832e5499
Homepage: https://cran.r-project.org/package=POPInf
Description: CRAN Package 'POPInf' (Assumption-Lean and Data-Adaptive Post-Prediction Inference)
 Implementation of assumption-lean and data-adaptive post-prediction
 inference (POPInf), for valid and efficient statistical inference based on
 data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023)
 <arXiv:2311.14220>.

Package: r-cran-popkin
Architecture: all
Version: 1.3.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcolorbrewer, r-cran-ape
Suggests: r-cran-bedmatrix, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bnpsd
Filename: pool/dists/focal/main/r-cran-popkin_1.3.23-1.ca2004.1_all.deb
Size: 1023780
MD5sum: a69aa80deb9ae99863180d60a9bce001
SHA1: 211644a5bf15083e70f34fbf6900cd182116c8a6
SHA256: cc0e1c5edf2af662c9e2788bdfec9f3972bf29e1e407b2990bd6e7f2e7abaf9c
SHA512: d8faadfffe87318c6324b7df5e7762f4c57b4c186426961fdef2633fb4934fd000f295ff7cf69709da625bd774411c9a04e7dd379ec39cd942f0ef77f1161af8
Homepage: https://cran.r-project.org/package=popkin
Description: CRAN Package 'popkin' (Estimate Kinship and FST under Arbitrary Population Structure)
 Provides functions to estimate the kinship matrix of individuals from a
 large set of biallelic SNPs, and extract inbreeding coefficients and the
 generalized FST (Wright's fixation index).  Method described in Ochoa and
 Storey (2021) <doi:10.1371/journal.pgen.1009241>.

Package: r-cran-popkorn
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Suggests: r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-popkorn_0.3-0-1.ca2004.1_all.deb
Size: 329440
MD5sum: 15076670003c17124cd6f569def2883c
SHA1: bde61a7e7a911ff7611383c9b658b5d364a52a28
SHA256: 795f9512dd8279a437f818ff4535bcf81a5ad13221f8ecb4ca7685a0b7071ff9
SHA512: 61e55bad703b97ed212d0dc5418b2dc47ef3ec944b403453c393626f691f3102b704a54a98420d71babf525c0bfe707f2f5ec9ed3e89f84f7123fda4b7185736
Homepage: https://cran.r-project.org/package=popKorn
Description: CRAN Package 'popKorn' (For interval estimation of mean of selected populations)
 Provides a suite of tools for various methods of estimating confidence
 intervals for the mean of selected populations.

Package: r-cran-poppyramid
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-poppyramid_0.1.1-1.ca2004.1_all.deb
Size: 49704
MD5sum: f8c95242a2e1202a982129f09bd83d33
SHA1: 29b42819d40ca8621757b0b0b4e0669cd94dd9cd
SHA256: c0c837c1b346cc8005f02ccc394a4d850753a86ffe9565bb6dedb93810766ca7
SHA512: 8c70cc4054f190a6d3c0817371c62bd356c0ec67918131a72b10dbb7f04bc4c4ca0ad3a704ae1d39b4702c7d58feebdee7d1e74c0d33ba7c96c1dce9d95d78cb
Homepage: https://cran.r-project.org/package=popPyramid
Description: CRAN Package 'popPyramid' (Population Pyramids)
 Functions that facilitate the elaboration of population pyramids.

Package: r-cran-popreconstruct
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda
Suggests: r-cran-ggplot2, r-cran-reshape, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-popreconstruct_1.0-6-1.ca2004.1_all.deb
Size: 364288
MD5sum: 72a196d907ecfc324ea14fada4cdd912
SHA1: e011c299a28e49cf7a34182f118e91219dab9a51
SHA256: a6d0bf653033e3a511873589af442a7201be26b6e4aed7af30f311b7239b5e81
SHA512: ccf9fc51e48e995729c158d25a013184a01a1645933d03130670cb39371c64e9dc0fb28d0b2e0d5e13b23e2ac59a7506f8060c400362dfd8a763f2aa11f0b4ff
Homepage: https://cran.r-project.org/package=popReconstruct
Description: CRAN Package 'popReconstruct' (Reconstruct Human Populations of the Recent Past)
 Implements the Bayesian hierarchical model described by Wheldon, Raftery,
 Clark and Gerland (see: <doi:10.1080/01621459.2012.737729>) for
 simultaneously estimating age-specific population counts, fertility rates,
 mortality rates and net international migration flows, at the national
 level.

Package: r-cran-popsom7
Architecture: all
Version: 7.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields, r-cran-ggplot2, r-cran-hash, r-cran-som
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-popsom7_7.0.0-1.ca2004.1_all.deb
Size: 91432
MD5sum: 50a90d4035343c90db71d9fd011a7291
SHA1: 38aba404544d2a7644bfdc949f08cb54e371384b
SHA256: 8880397643783d55f06de1173289875d75503b5874208aa9bcc117c7744f6021
SHA512: f4849de5307ac2127a9aa5c94e2d3a36f59206bd83e95f5c2dafc96197f0685da465328846971045ba988c6916d88e0078db1620d5ba505ed6e7b72b98d98af3
Homepage: https://cran.r-project.org/package=popsom7
Description: CRAN Package 'popsom7' (A User-Friendly Implementation of Self-Organizing Maps)
 Self-organizing maps with a number of distinguishing features: (1) Automatic
 centroid detection and cluster visualization using starbursts, for more
 details see the paper "Improved Interpretability of the Unified Distance
 Matrix with Connected Components" by Hamel and Brown (2011) in
 <ISBN:1-60132-168-6>.  (2) Two models of the data: (a) a self organizing map
 model, (b) a centroid based clustering model.  (3) A number of easily
 accessible quality metrics, Hamel (2016) <doi:10.1007/978-3-319-28518-4_4>.

Package: r-cran-popstudy
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 975
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-lubridate, r-cran-dplyr, r-cran-tidyr, r-cran-demography, r-cran-forecast, r-cran-ggpubr, r-cran-moments, r-cran-desctools, r-cran-rcompanion, r-cran-corrr, r-cran-hmisc, r-cran-corrplot, r-cran-correlation, r-cran-here, r-cran-stringr, r-cran-scales, r-cran-rainbow, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-snow
Filename: pool/dists/focal/main/r-cran-popstudy_1.0.1-1.ca2004.1_all.deb
Size: 933224
MD5sum: 080113bc121a19931cf5409a9b12f8b0
SHA1: 005ab8ded2b4af1c4f155b9b151f7261a595ba9f
SHA256: c9d45779c1f2605a74e1e48891a44ea2c75393f1d2a817af93f3ec4637863d0e
SHA512: fb8fcbd3ae027b73a4b9ab3007a8fbfcc4df0b99f0cc875c7b66485443b03fc4b3e75d3820128d18b986891fbd8c0c254f693b638762de636b7f7f1b9dd14316
Homepage: https://cran.r-project.org/package=popstudy
Description: CRAN Package 'popstudy' (Applied Techniques to Demographic and Time Series Analysis)
 The use of overparameterization is proposed with combinatorial analysis to
 test a broader spectrum of possible ARIMA models.  In the selection of ARIMA
 models, the most traditional methods such as correlograms or others, do not
 usually cover many alternatives to define the number of coefficients to be
 estimated in the model, which represents an estimation method that is not
 the best.  The popstudy package contains several tools for statistical
 analysis in demography and time series based in Shryock research (Shryock
 et. al. (1980) <https://books.google.co.cr/books?id=8Oo6AQAAMAAJ>).

Package: r-cran-poptrend
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-poptrend_0.2.0-1.ca2004.1_all.deb
Size: 145364
MD5sum: 05dc8cc12c224cfec2e0d244381f222e
SHA1: 3c74919c2af729b29b904efff4edd8df6ec55299
SHA256: 2b27318139b40e4ae944c45ce187d00713fc4ed63c9153d46bc8022e6a99f285
SHA512: fa89acb00beca39afe39a837fd8f2406eaca0368712cc732b263304284f74fad7f2082faccaf2119cc3cbf0651ce027af47647b9c21596baee29fba7cb94dba9
Homepage: https://cran.r-project.org/package=poptrend
Description: CRAN Package 'poptrend' (Estimate Smooth and Linear Trends from Population Count SurveyData)
 Functions to estimate and plot smooth or linear population trends, or
 population indices, from animal or plant count survey data.

Package: r-cran-populater
Architecture: all
Version: 1.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-braingraph, r-cran-data.table, r-cran-dplyr, r-cran-igraph, r-cran-magrittr, r-cran-pearsonds, r-cran-plyr, r-cran-rlang, r-cran-sn, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Filename: pool/dists/focal/main/r-cran-populater_1.13-1.ca2004.1_all.deb
Size: 425028
MD5sum: bd69422bf946902266b577f66f93d624
SHA1: e19a1e59385ac07717e40eb00bf74ba78da6bf9f
SHA256: 1ef8bffa8738ef33c60b742872830917125e5ca3c6d83e0dd9bd352b3bb77614
SHA512: 0738735905a3e7f77dbfebc5f2dc40f8ca5520752de428a6667d09f29b91b695ed4281926357d4ec517e35c0f207c520b4aba59537ffc640cde8e8879080c809
Homepage: https://cran.r-project.org/package=PopulateR
Description: CRAN Package 'PopulateR' (Create Data Frames for the Micro-Simulation of Human Populations)
 Tools for constructing detailed synthetic human populations from frequency
 tables. Add ages based on age groups and sex, create households, add
 students to education facilities, create employers, add employers to
 employees, and create interpersonal networks.

Package: r-cran-populationgrowthr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1379
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-populationgrowthr_0.1.1-1.ca2004.1_all.deb
Size: 1327932
MD5sum: 615a2e6f8e71b7f117514dbd7f396e8a
SHA1: c14f2f7b51bb6ca895dd27a6b3e6dac7d3a2e2b2
SHA256: 6de164f33b141d8b70e8ac10b19b5be5c72e36288ad30b494345a266d6d8019e
SHA512: abe70cdb1f3e0c96563594cb40eb0752d028df85de9b5235c4fa67915fe369138ccf53d3fbb8b847857a1c127a9accf35e207eea3f7de009f3789195429904d7
Homepage: https://cran.r-project.org/package=PopulationGrowthR
Description: CRAN Package 'PopulationGrowthR' (Linear Population Growth Scenarios)
 Fit linear splines to species time series to detect population growth
 scenarios based on Hyndman, R J and Mesgaran, M B and Cousens, R D (2015)
 <doi:10.1007/s10530-015-0962-8>.

Package: r-cran-populationpdxdesign
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-ggplot2, r-cran-plyr, r-cran-roxygen2, r-cran-shiny, r-cran-shinycssloaders
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-populationpdxdesign_1.0.3-1.ca2004.1_all.deb
Size: 53904
MD5sum: dffa7e232703dbd11a96c4b140bd95f7
SHA1: bc179171b9f42f17327179b9a8cf0059baf2a0b2
SHA256: f77c4251e9f4110483f4d2d5e7d8629cea93f114b225fc4ac922cd602e329fb2
SHA512: a39da3411dc78b58227aac1069eaf76f12f02ee02b0f8bed72b9db84ecd34efb4f51c9dfc17ee665b25773fc7d588ff94c5b276a935132004f9264608ef34e08
Homepage: https://cran.r-project.org/package=populationPDXdesign
Description: CRAN Package 'populationPDXdesign' (Designing Population PDX Studies)
 Run simulations to assess the impact of various designs features and the
 underlying biological behaviour on the outcome of a Patient Derived
 Xenograft (PDX) population study. This project can either be deployed to a
 server as a 'shiny' app or installed locally as a package and run the app
 using the command 'populationPDXdesignApp()'.

Package: r-cran-populr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-rlang, r-cran-metrics, r-cran-usethis, r-cran-osmdata, r-cran-dplyr, r-cran-units
Suggests: r-cran-rmarkdown, r-cran-microbenchmark, r-cran-areal, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-populr_0.2.1-1.ca2004.1_all.deb
Size: 119148
MD5sum: 35f65ba6820b3d8012ff6f60e61caeff
SHA1: e079573eb95bfc716c4952d352656c403c373e70
SHA256: 838d006ac888e15518821064361da48cc37dc4a2f430b65bf646f31705a58102
SHA512: d901a9508b7060bd9b237b74d7094ed6ccbae4732576d420e46d4fb6542a0ef3d5b5ef011e99403276dbcfa55fb8a18c3fb202d970756016d19e0416d077cc76
Homepage: https://cran.r-project.org/package=populR
Description: CRAN Package 'populR' (Population Downscaling Using Areal Interpolation)
 Given a set of source zone polygons such as census tracts or city blocks
 alongside with population counts and a target zone of incogruent yet
 superimposed polygon features (such as individual buildings) populR
 transforms population counts from the former to the latter using Areal
 Interpolation methods.

Package: r-cran-popvar
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bglr, r-cran-qtl, r-cran-rrblup
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-popvar_1.3.2-1.ca2004.1_all.deb
Size: 314288
MD5sum: f9ed9384e413603f3c16d39e51184f4d
SHA1: 844dbfd787263643f6ee8d8c44aef30a221ef135
SHA256: ac809c6aaa096f6a8482887df5215880c24f5e2d820a14592dbd45b6d0847a4d
SHA512: bb3af1dc1036a95099a965c6ad41334175835bede96085a571120cda3dd95c258837581f28d7e18bf1bcd950b8d01e46257171f8e1033f05b2c1b74f0ac99a8f
Homepage: https://cran.r-project.org/package=PopVar
Description: CRAN Package 'PopVar' (Genomic Breeding Tools: Genetic Variance Prediction andCross-Validation)
 The main attribute of 'PopVar' is the prediction of genetic variance in
 bi-parental populations, from which the package derives its name. 'PopVar'
 contains a set of functions that use phenotypic and genotypic data from a
 set of candidate parents to 1) predict the mean, genetic variance, and
 superior progeny value of all, or a defined set of pairwise bi-parental
 crosses, and 2) perform cross-validation to estimate genome-wide prediction
 accuracy of multiple statistical models. More details are available in
 Mohammadi, Tiede, and Smith (2015, <doi:10.2135/cropsci2015.01.0030>).  A
 dataset 'think_barley.rda' is included for reference and examples.

Package: r-cran-portalhacienda
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forecast, r-cran-timetk, r-cran-lubridate, r-cran-xts, r-cran-httr, r-cran-tibble, r-cran-magrittr, r-cran-zoo, r-cran-curl, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-portalhacienda_0.1.7-1.ca2004.1_all.deb
Size: 206684
MD5sum: aa7a428cd046543852f8f920cba9965d
SHA1: e7a2a80faafff9e605df06d0284cf189a445aee9
SHA256: a1e74baefd7655034d3a9fa39aacec9b7a7c0ce48d34652fd631c80846997d87
SHA512: cf7a3f7aaf5c4c554e0af71633ba1ed4a99b4c8aeba00969ef75399ac1feb5726d0db42db08c7e33aa939f127a4092b32ad4769a08d64d0e831c5349903e07bd
Homepage: https://cran.r-project.org/package=PortalHacienda
Description: CRAN Package 'PortalHacienda' (Acceder Con R a Los Datos Del Portal De Hacienda)
 Obtener listado de datos, acceder y extender series del Portal de Datos de
 Hacienda.Las proyecciones se realizan con 'forecast', Hyndman RJ, Khandakar
 Y (2008) <doi:10.18637/jss.v027.i03>.  Search, download and forecast
 time-series from the Ministry of Economy of Argentina. Forecasts are built
 with the 'forecast' package, Hyndman RJ, Khandakar Y (2008)
 <doi:10.18637/jss.v027.i03>.

Package: r-cran-portalr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1505
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-clipr, r-cran-dplyr, r-cran-forecast, r-cran-httr, r-cran-lubridate, r-cran-lunar, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-cowplot, r-cran-ggplot2, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-portalr_0.4.4-1.ca2004.1_all.deb
Size: 1086316
MD5sum: 656a6fcfc0c745dfcd8fce09351cfbc3
SHA1: fdfa62f62657b0a95935d1a624f9d69bacf00463
SHA256: b9140e40382e8fdf5d4103589acd7d3ad5a1978bb69a7514185d93bc458f55dd
SHA512: d7382cbe8375b2b70b4efef6a4ad3d25e41b4600a7fca021cfe9e76085448f601822bd30aec480abb7a8822ffc3118b30a567e253b483d42538ffbeb92a49c8c
Homepage: https://cran.r-project.org/package=portalr
Description: CRAN Package 'portalr' (Create Useful Summaries of the Portal Data)
 Download and generate summaries for the rodent, plant, ant, and weather data
 from the Portal Project. Portal is a long-term (and ongoing) experimental
 monitoring site in the Chihuahuan desert. The raw data files can be found at
 <https://github.com/weecology/portaldata>.

Package: r-cran-portes
Architecture: all
Version: 6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-vars
Filename: pool/dists/focal/main/r-cran-portes_6.0-1.ca2004.1_all.deb
Size: 206020
MD5sum: 09043bb3d542442604e6cb86edde0e10
SHA1: 12f69070c892e73a31f124d723ccb38a610f117d
SHA256: 33fea75900d98360ed3ddda348d706589ca61926b831073895e5779f1e9ba8be
SHA512: e24a56622cb7f9c8ad6faaf621ecf7325eb01b509b2ae62c566042aaf485b5eb2c9c8406c3c1b1c8336c07c2053ba6ede7c4ae9743d0fafa8a4b9c97511610f8
Homepage: https://cran.r-project.org/package=portes
Description: CRAN Package 'portes' (Portmanteau Tests for Time Series Models)
 Contains common univariate and multivariate portmanteau test statistics for
 time series models. These tests are based on using asymptotic distributions
 such as chi-square distribution and based on using the Monte Carlo
 significance tests. Also, it can be used to simulate from univariate and
 multivariate seasonal time series models.

Package: r-cran-portfolio.optimization
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-mass, r-cran-magrittr, r-cran-modopt.matlab
Filename: pool/dists/focal/main/r-cran-portfolio.optimization_1.0-0-1.ca2004.1_all.deb
Size: 336424
MD5sum: d7723b5688d82c288528ce1cdc32c4c6
SHA1: cc5f5f3cba475c328a9d269a6c82f6484953bf28
SHA256: 32e52802e7f1aa903d51ee041b25d6e9fd3d5c68ead712a1bd29731e65547160
SHA512: a90af4781ed65438428a805d8c9a4c267d9396b7b46f9901af1785f17dd8683197d50a54f17cd24e138a4cd87e4f396f766d82427e5d29e07c2dbcb553067476
Homepage: https://cran.r-project.org/package=portfolio.optimization
Description: CRAN Package 'portfolio.optimization' (Contemporary Portfolio Optimization)
 Simplify your portfolio optimization process by applying a contemporary
 modeling way to model and solve your portfolio problems. While most
 approaches and packages are rather complicated this one tries to simplify
 things and is agnostic regarding risk measures as well as optimization
 solvers. Some of the methods implemented are described by Konno and Yamazaki
 (1991) <doi:10.1287/mnsc.37.5.519>, Rockafellar and Uryasev (2001)
 <doi:10.21314/JOR.2000.038> and Markowitz (1952)
 <doi:10.1111/j.1540-6261.1952.tb01525.x>.

Package: r-cran-portfolio
Architecture: all
Version: 0.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2068
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-portfolio_0.5-3-1.ca2004.1_all.deb
Size: 1565044
MD5sum: 40334d5276428d074ef3a60362e416b4
SHA1: e202b3dc2bc2db3a89ec60c4cca7e8ef7ec81f8f
SHA256: e03a3529d3f047134ff355d21a9a7ba60868442f25f5dadbb4d5de7e96f13bfe
SHA512: e92da88ab7a98564a129677660f7f9253b1418cec742bffff69dffca2629894f23cc346e4c4aa34fee36a00f461112abc3a8521c12ecf97a670ea1894b8d1930
Homepage: https://cran.r-project.org/package=portfolio
Description: CRAN Package 'portfolio' (Analysing Equity Portfolios)
 Classes for analysing and implementing equity portfolios, including routines
 for generating tradelists and calculating exposures to user-specified risk
 factors.

Package: r-cran-portfoliobacktest
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-evaluate, r-cran-ggplot2, r-cran-pbapply, r-cran-performanceanalytics, r-cran-quadprog, r-cran-quantmod, r-cran-r.utils, r-cran-rlang, r-cran-xts, r-cran-zoo
Suggests: r-cran-cvxr, r-cran-dt, r-cran-ggfortify, r-cran-gridextra, r-cran-knitr, r-cran-prettydoc, r-cran-readtext, r-cran-rmarkdown, r-cran-r.rsp, r-cran-scales, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-portfoliobacktest_0.4.1-1.ca2004.1_all.deb
Size: 2139788
MD5sum: d6fbb99465567c895ee9daf6d1bec02f
SHA1: 62c5b85337584f19bf841aa35d661daddc53402d
SHA256: 967957144add14c5de5d00db9e132cc0547da7dfa2beaf231e1e34e5c84017ff
SHA512: 73423d7105bf7361ff61943244552b4b6f6779cc13bdaae768f68b5b9d2246264eecfcbc27c5c3e3632268a212d6318a8f94a61b7cd959716829c55a65803eb1
Homepage: https://cran.r-project.org/package=portfolioBacktest
Description: CRAN Package 'portfolioBacktest' (Automated Backtesting of Portfolios over Multiple Datasets)
 Automated backtesting of multiple portfolios over multiple datasets of stock
 prices in a rolling-window fashion. Intended for researchers and
 practitioners to backtest a set of different portfolios, as well as by a
 course instructor to assess the students in their portfolio design in a
 fully automated and convenient manner, with results conveniently formatted
 in tables and plots. Each portfolio design is easily defined as a function
 that takes as input a window of the stock prices and outputs the portfolio
 weights. Multiple portfolios can be easily specified as a list of functions
 or as files in a folder. Multiple datasets can be conveniently extracted
 randomly from different markets, different time periods, and different
 subsets of the stock universe. The results can be later assessed and ranked
 with tables based on a number of performance criteria (e.g., expected
 return, volatility, Sharpe ratio, drawdown, turnover rate, return on
 investment, computational time, etc.), as well as plotted in a number of
 ways with nice barplots and boxplots.

Package: r-cran-portfolioeffectestim
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-portfolioeffectestim_1.4-1.ca2004.1_all.deb
Size: 377544
MD5sum: a09d07f3010b491e72b0cab3033e48fd
SHA1: 2bfe782900588bd50d243b615075f36e0e69956a
SHA256: c849239e470081f64912e4690d205403a191f1fa244ed8d197cae43b4384e492
SHA512: 39c48104e94225806378184d4226d44960c4b08110eab0fb83a26dd93c67d9acc3f6c2256b5220ca423f869b7a0339dfd35b1c6c9f3f696887945456dec2edb3
Homepage: https://cran.r-project.org/package=PortfolioEffectEstim
Description: CRAN Package 'PortfolioEffectEstim' (High Frequency Price Estimators by PortfolioEffect)
 R interface to PortfolioEffect cloud service for estimating high frequency
 price variance, quarticity, microstructure noise variance, and other metrics
 in both aggregate and rolling window flavors.  Constructed estimators could
 use client-side market data or access HF intraday price history for all
 major US Equities.  See <https://www.portfolioeffect.com/> for more
 information on the PortfolioEffect high frequency portfolio analytics
 platform.

Package: r-cran-portfolioeffecthft
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6467
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rjava, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-portfolioeffecthft_1.8-1.ca2004.1_all.deb
Size: 5394140
MD5sum: 6defe1d3c624dfdfcd33290fc8228cec
SHA1: a06c341c7f3dc76092feb8a9a12881b194b81cdd
SHA256: fa14e7c37b3579312a856098c09389def5f79cb7085c3f36a88ca62956d5ad55
SHA512: cc0fffa70dc365de4898defa9ee741e9073266ba267ff44a8ce2208cae9af76cd07d9943950b702c37ea098e54c7faa00d25b757885cfec5a57de17c5e6ba01f
Homepage: https://cran.r-project.org/package=PortfolioEffectHFT
Description: CRAN Package 'PortfolioEffectHFT' (High Frequency Portfolio Analytics by PortfolioEffect)
 R interface to PortfolioEffect cloud service for backtesting high frequency
 trading (HFT) strategies, intraday portfolio analysis and optimization.
 Includes auto-calibrating model pipeline for market microstructure noise,
 risk factors, price jumps/outliers, tail risk (high-order moments) and price
 fractality (long memory). Constructed portfolios could use client-side
 market data or access HF intraday price history for all major US Equities.
 See <https://www.portfolioeffect.com/> for more information on the
 PortfolioEffect high frequency portfolio analytics platform.

Package: r-cran-portfoliooptim
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsymphony
Suggests: r-cran-mvtnorm, r-cran-rglpk, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-portfoliooptim_1.1.1-1.ca2004.1_all.deb
Size: 54520
MD5sum: 81adeb4c3ad0517d7b15a3995414f68a
SHA1: 37c28a5938c5c9e77f7bb627cbfa0da0b50a909c
SHA256: d3b3e8fe41643de5e562f9fd9c4a1d3805eb0011390f24d7ff4411ee1c9cbc5e
SHA512: c802d690bb75e57b07d5e52f871d13f3da354c06afbb82e349044bd61802b0ed83f0bbd7e83419a7620d5c1825e6d8725688fb4d52a3778659e57149313e222a
Homepage: https://cran.r-project.org/package=PortfolioOptim
Description: CRAN Package 'PortfolioOptim' (Small/Large Sample Portfolio Optimization)
 Two functions for financial portfolio optimization by linear programming are
 provided. One function implements Benders decomposition algorithm and can be
 used for very large data sets. The other, applicable for moderate sample
 sizes, finds optimal portfolio which has the smallest distance to a given
 benchmark portfolio.

Package: r-cran-portion
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-portion_0.1.2-1.ca2004.1_all.deb
Size: 33756
MD5sum: 15238ed0f4798fd8bd87f669a4d0b5d4
SHA1: d9c98307ec70f0a3949a7e5db6ef4821c98fa74c
SHA256: e1ddaaac362022a66d0a5ccd5ebe6255f263fb4e304e1dfa942651d01896ff51
SHA512: 7001848ecf414c76d3485815f0b018a4fd77d74f114223f686cd0cc406700d98bfb35ff6fcb52c0718dacd8998398de96943f6023a582d28e46767d87b9808a2
Homepage: https://cran.r-project.org/package=portion
Description: CRAN Package 'portion' (Extracting a Data Portion)
 Provides simple methods to extract data portions from various objects.  The
 relative portion size and the way the portion is selected can be chosen.

Package: r-cran-portn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-portn_1.0.0-1.ca2004.1_all.deb
Size: 18372
MD5sum: 5fc9b164daa9655c5c2a3754bbea5052
SHA1: d5aa91a2c82ae082e63cac87b277090b7125c74a
SHA256: 8312a5f7eea326611b124f204cd8977b3384d89e0988722f7b69d1c3aea6d659
SHA512: 9f70a76c6ee54dec40ee32bbf3c8793744e87da8e91cfb70ab82f112bf04bf2b6512a1e397f778f3870350a1da5f43ae95755316bd553db8930490b3f945c11a
Homepage: https://cran.r-project.org/package=portn
Description: CRAN Package 'portn' (Portfolio Analysis for Nature)
 The functions are designed to find the efficient mean-variance frontier or
 portfolio weights for static portfolio (called Markowitz portfolio) analysis
 in resource economics or nature conservation. Using the nonlinear
 programming solver ('Rsolnp'), this package deals with the quadratic
 minimization of the variance-covariances without shorting (i.e.,
 non-negative portfolio weights) studied in Ando and Mallory (2012)
 <doi:10.1073/pnas.1114653109>. See the examples, testing versions, and more
 details from: <https://github.com/ysd2004/portn>.

Package: r-cran-portrisk
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-mcmcpack, r-cran-tseries, r-cran-copula, r-cran-mass
Filename: pool/dists/focal/main/r-cran-portrisk_1.1.0-1.ca2004.1_all.deb
Size: 769204
MD5sum: c113af0f88e0f8c69b9b567f394b6884
SHA1: d876a9a7628bae6824163c24677b1b873e786fdd
SHA256: 5ab8997c04aa20cf37674e89556aec85080d588abf0c4c3935c6f9b6cb72eed2
SHA512: 8c0982e770a7fa8b533f62af3b2bc280f1805189762267a594d49fc289632da3eaaf40aade8b4ae973d5f8aba685638b5eec6c7959c54e4922f2cdfded3b02f8
Homepage: https://cran.r-project.org/package=PortRisk
Description: CRAN Package 'PortRisk' (Portfolio Risk Analysis)
 Risk Attribution of a portfolio with Volatility Risk Analysis.

Package: r-cran-portsort
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo
Suggests: r-cran-portfolioanalytics, r-cran-performanceanalytics, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-portsort_0.1.0-1.ca2004.1_all.deb
Size: 513988
MD5sum: 88191cb7ee2f26684f62867dd54a11b7
SHA1: e5b9f85f4234bc6687298aed75702f6009fe7d17
SHA256: 254ca0b01ca0fdf781900bcfc0f8c59465a26710fd3a64cb1a062b634553f48f
SHA512: a58bb501a1b3ab9c2dc7f0cdd3914c0730f9f35eb023e1c28a45fb15f789bc0953f07e088579887d93d839da437bbc83f15a480e48655a0337d23d2f053dac8f
Homepage: https://cran.r-project.org/package=portsort
Description: CRAN Package 'portsort' (Factor-Based Portfolio Sorts)
 Designed to aid both academic researchers and asset managers in conducting
 factor based portfolio sorts.  Provides functionality to sort assets into
 portfolios for up to three factors via a conditional or unconditional
 sorting procedure.

Package: r-cran-poset
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-poset_1.0.0-1.ca2004.1_all.deb
Size: 62264
MD5sum: 07fbd69d29ae8008cc7f3ab07e7893f6
SHA1: 03224aa5003db704e7c4cb21c587a22803b128fd
SHA256: fbc9d53709e219ea968dcb9709305e5c10cdfb45377496431b2897c9d7516aef
SHA512: 5a0812a8a2d6b1a0c4efbcffd63ac73aecd7fa726f226acf0e1bc9fc5974301cf38aa2e11ffe8d8351d764e3f6cef59f220833729f40a4bcbdcb376108cbd22c
Homepage: https://cran.r-project.org/package=poset
Description: CRAN Package 'poset' (Analysis of Partially Ordered Data)
 Win ratio approach to partially ordered data, such as multivariate ordinal
 responses under product (consensus) or prioritized order. Two-sample tests
 and multiplicative regression models are implemented (Mao, 2024, under
 revision).

Package: r-cran-posi
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-posi_1.1-1.ca2004.1_all.deb
Size: 31248
MD5sum: f705f63ca7e5fb93a817209d846b65af
SHA1: 40abc558317dd8aaefecab0c505171e1102a93ba
SHA256: d64be6a0ec7c7aecef1732fc183ca85771486181381bfea24d5b023fa6f9e061
SHA512: b774d4d78b31a8592e87c097281fec387850b254db7fe26e7a876fd5611fe962b2b2e3090a78ba38a7b0b5d376f902d498d8af386cd01de31c143c45217ae77e
Homepage: https://cran.r-project.org/package=PoSI
Description: CRAN Package 'PoSI' (Valid Post-Selection Inference for Linear LS Regression)
 In linear LS regression, calculate for a given design matrix the multiplier
 K of coefficient standard errors such that the confidence intervals [b -
 K*SE(b), b + K*SE(b)] have a guaranteed coverage probability for all
 coefficient estimates b in any submodels after performing arbitrary model
 selection.

Package: r-cran-posiadjrsquared
Architecture: all
Version: 0.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lmf, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-posiadjrsquared_0.0.0.1-1.ca2004.1_all.deb
Size: 78192
MD5sum: f17f9b8fc5eda4aa06aa7a7a71f9bc6d
SHA1: bbaf471d4941e6bfe0d1f5175849953976c1e010
SHA256: 50162c3b962607e3895c3ab7b15a65a0a226dc06e894f03340eb2ae44fcfee12
SHA512: 7913965b958847f24eec9e043f5a617cbd2150f1f9af7570dbc4158fb5feeaa2076dc88585f989e14eaad3a478b1758f3dac0a3743eb0e56b09fe8a5f25cd2c5
Homepage: https://cran.r-project.org/package=PoSIAdjRSquared
Description: CRAN Package 'PoSIAdjRSquared' (Post-Selection Inference for Adjusted R Squared)
 Conduct post-selection inference for regression coefficients in linear
 models after they have been selected by adjusted R squared. The p-values and
 confidence intervals are valid after model selection with the same data.
 This allows the user to use all data for both model selection and inference
 without losing control over the type I error rate. The provided tests are
 more powerful than data splitting, which bases inference on less data since
 it discards all information used for selection.

Package: r-cran-posir
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-pbapply, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-posir_0.1.2-1.ca2004.1_all.deb
Size: 122024
MD5sum: a100add4bf7fb4eda5d8e93f4f70550d
SHA1: 516c3b74edac2bc2334176d9da8678fb5714fc40
SHA256: ab39969047a53a59d6c8271efad6c0f7fb542181ec38be9c5d68cbc81dfbeee1
SHA512: 971bca285587f28ea455a0261fa9b9441555d082be92bbe8c8bc2ba5e3822c6ef2d9b06815db8dd480fa699f4b3d81a713a0987268f60d62a6a38546d52042c9
Homepage: https://cran.r-project.org/package=PosiR
Description: CRAN Package 'PosiR' (Post-Selection Inference via Simultaneous Confidence Intervals)
 Post-selection inference in linear regression models, constructing
 simultaneous confidence intervals across a user-specified universe of
 models.  Implements the methodology described in Kuchibhotla, Kolassa, and
 Kuffner (2022) "Post-Selection Inference"
 <doi:10.1146/annurev-statistics-100421-044639> to ensure valid inference
 after model selection, with applications in high-dimensional settings like
 Lasso selection.

Package: r-cran-positron.tutorials
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4811
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tutorial.helpers, r-cran-usethis
Suggests: r-cran-fs, r-cran-gitcreds, r-cran-knitr, r-cran-learnr, r-cran-palmerpenguins, r-cran-pkgbuild, r-cran-quarto, r-cran-rsconnect, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-positron.tutorials_0.2.0-1.ca2004.1_all.deb
Size: 3690804
MD5sum: 19a5e26bd6da445c526c887c8c9d2b68
SHA1: ef1aa68dad49c448e47ea2273bc3fb2ea9724d50
SHA256: cd435d304f9d82916f04fc2b91ad3ef312eb49d295533a3baee8c07303d8b18f
SHA512: f48a23fa42ab3414686bbc50f55fe255ebaf98adc7055fe4080dfe998d176c6cabcc91af49e5994cccf74caec5a0ec92edc5dfbfeac64249f74ed8af452630b0
Homepage: https://cran.r-project.org/package=positron.tutorials
Description: CRAN Package 'positron.tutorials' (Tutorials for Learning 'Positron' and Related Tools)
 Collection of tutorials for working with 'Positron'. Covers scripts,
 'Quarto' documents, 'Git', 'GitHub', and 'Quarto' websites. Makes extensive
 use of the tools in the 'tutorial.helpers' package.

Package: r-cran-posologyr
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rxode2, r-cran-mvtnorm, r-cran-data.table
Suggests: r-cran-lotri, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-posologyr_1.2.8-1.ca2004.1_all.deb
Size: 220040
MD5sum: 2ac1a293f3413203aaed9515af2d1b52
SHA1: 0f55936cac86b28e398e839d04294df4bed6026b
SHA256: b38336630d7ce96e0c22308ed83939cc2e83ee2e5e52dc6259aaf66dc89ce57d
SHA512: d137cf9c39a78a9ccf940066daefbad599702df6d4b4299905bcb59e64f6ec28bcb42a9e07d972c0ec8754e18863f905fbedd0f43500b0d7fe1697c201a0a5d3
Homepage: https://cran.r-project.org/package=posologyr
Description: CRAN Package 'posologyr' (Individual Dose Optimization using Population Pharmacokinetics)
 Personalize drug regimens using individual pharmacokinetic (PK) and
 pharmacokinetic-pharmacodynamic (PK-PD) profiles. By combining therapeutic
 drug monitoring (TDM) data with a population model, 'posologyr' offers
 accurate posterior estimates and helps compute optimal individualized dosing
 regimens. The empirical Bayes estimates are computed following the method
 described by Kang et al. (2012) <doi:10.4196/kjpp.2012.16.2.97>.

Package: r-cran-posratiodist
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-posratiodist_1.2.1-1.ca2004.1_all.deb
Size: 61552
MD5sum: eb9e36af0b789b9cb94a3aabd41168b4
SHA1: bfb0419271a7e327c95bda5bb726b5edb26cfed3
SHA256: 3d001b70af03cc64866b4ec0a1ac63da9a3f07060f01dc09b5a3e4672fc4a513
SHA512: 64c53a8b9e43ec973e989cb2a3fc46c2299ecb6e119f764c0b34b213e4a5381cd64e6c645eeef7384b2610272ca4ad17182191ff36b757bbe1c9037b97f5cee3
Homepage: https://cran.r-project.org/package=PosRatioDist
Description: CRAN Package 'PosRatioDist' (Quotient of Random Variables Conditioned to the PositiveQuadrant)
 Computes the exact probability density function of X/Y conditioned on
 positive quadrant for series of bivariate distributions,for more details see
 Nadarajah,Song and Si (2019) <DOI:10.1080/03610926.2019.1576893>.

Package: r-cran-possa
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 553
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-faux
Filename: pool/dists/focal/main/r-cran-possa_0.6.4-1.ca2004.1_all.deb
Size: 158840
MD5sum: e91dbdf964313b4685f36511162bbce6
SHA1: 00ff1db9986974c70541956226b522a82e3e3819
SHA256: 3122a1be4dc19fe8462a88eb500c9f2df47a15f53ea70f1179bad4ff65b232fe
SHA512: 6cf88db0ae16cb43cdff99aee3560b1b55dad0d368ada7ce20a7133295f4f2ec72220ca76b8a430c48e32fee28a5532da938848317adb6365bd1af7f26424a38
Homepage: https://cran.r-project.org/package=POSSA
Description: CRAN Package 'POSSA' (Power Simulation for Sequential Analyses and Multiple Hypotheses)
 Calculates, via simulation, power and appropriate stopping alpha boundaries
 (and/or futility bounds) for sequential analyses (i.e., group sequential
 design) as well as for multiple hypotheses (multiple tests included in an
 analysis), given any specified global error rate. This enables the
 sequential use of practically any significance test, as long as the
 underlying data can be simulated in advance to a reasonable approximation.
 Lukács (2022) <doi:10.21105/joss.04643>.

Package: r-cran-postcard
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-deriv, r-cran-dplyr, r-cran-earth, r-cran-generics, r-cran-magrittr, r-cran-options, r-cran-parsnip, r-cran-rlang, r-cran-rsample, r-cran-stringr, r-cran-tidyselect, r-cran-tune, r-cran-workflowsets, r-cran-xgboost, r-cran-yardstick
Suggests: r-cran-gggrid, r-cran-ggplot2, r-cran-knitr, r-cran-liblinear, r-cran-mass, r-cran-ranger, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-postcard_1.0.0-1.ca2004.1_all.deb
Size: 145472
MD5sum: 97ddd5288f46310909ec4580de795768
SHA1: 4f56601650d8625b133a366399d5a38d40a00ee2
SHA256: 62ca2a2cf02ca6a28fdae10eb4fbc3f52acd5ba13afb2e619ba28ae2bb3b3462
SHA512: 62cf35c068477f74d30a2a10ce96a824da980811810711517a808d611b1fed0cb0f73713ac0a8025b61eac1f9c4c51343235d8a5839ba02407167ad7c4139f12
Homepage: https://cran.r-project.org/package=postcard
Description: CRAN Package 'postcard' (Estimating Marginal Effects with Prognostic Covariate Adjustment)
 Conduct power analyses and inference of marginal effects.  Uses plug-in
 estimation and influence functions to perform robust inference, optionally
 leveraging historical data to increase precision with prognostic covariate
 adjustment. The methods are described in Højbjerre-Frandsen et al. (2025)
 <doi:10.48550/arXiv.2503.22284>.

Package: r-cran-postcards
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3375
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-postcards_0.2.3-1.ca2004.1_all.deb
Size: 3158448
MD5sum: de65f797190d6b04a321c8bfd2a63fe0
SHA1: e475e04f72e2331e02cb3782eb4b512696b9bf31
SHA256: d0beda710ab0a72d53487f421280aec6a9d6c9e94c963fea5cb4613451c257fd
SHA512: 212659e49afa9e0c8177814d39b0b126b85ec0a7c660cfecbe4a1460bce5936affc19d00cba7a98347d48cd2aee9cda61880b38c4d7012f8ec3185126b79cf43
Homepage: https://cran.r-project.org/package=postcards
Description: CRAN Package 'postcards' (Create Beautiful, Simple Personal Websites)
 A collection of R Markdown templates for creating simple and easy to
 personalize single page websites.

Package: r-cran-postcodesior
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-knitr, r-cran-dplyr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-postcodesior_0.3.1-1.ca2004.1_all.deb
Size: 103156
MD5sum: 21c103fb3c9f201a70b208d8b3eb1d70
SHA1: 57ef44118f8afb7ac32c4064cb69b7ef922b9b8b
SHA256: 7da419298d6f34bc977331aad7bcba2569e9b91b000dc81e8e214e554d586ce8
SHA512: 597e46b4af05fbaf682d94dc3a053977af2e024c339f4f0a7ac22dbed78a6f8c345adb40d78c2fc521f32080e7bdcf95249e110ce4c737d5fbc49cf9db3c01aa
Homepage: https://cran.r-project.org/package=PostcodesioR
Description: CRAN Package 'PostcodesioR' (API Wrapper Around 'Postcodes.io')
 Free UK geocoding using data from Office for National Statistics.  It is
 using several functions to get information about post codes, outward codes,
 reverse geocoding, nearest post codes/outward codes, validation, or randomly
 generate a post code. API wrapper around <https://postcodes.io>.

Package: r-cran-postdoc
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-katex, r-cran-prismjs, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-postdoc_1.4.1-1.ca2004.1_all.deb
Size: 36620
MD5sum: db01a64433744319de6860210f63913d
SHA1: 54af522b67b890f5784a5a239f91ca7fd9c10674
SHA256: 1233bce8da035b5feaf1a3273216b41bfba0bd7acd2eb00b56aabce796abe0ab
SHA512: 4ee400b31c45763e1b99cf535ded6507fa6031b66c960a45f4ebb9615cc6d18c5494751772019b6c4e69476cd92019de8750e983f02c8157aba28962d0f522b7
Homepage: https://cran.r-project.org/package=postdoc
Description: CRAN Package 'postdoc' (Minimal and Uncluttered Package Documentation)
 Generates simple and beautiful one-page HTML reference manuals with package
 documentation. Math rendering and syntax highlighting are done server-side
 in R such that no JavaScript libraries are needed in the browser, which
 makes the documentation portable and fast to load.

Package: r-cran-posterdown
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pagedown, r-cran-rmarkdown, r-cran-yaml
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-posterdown_1.0-1.ca2004.1_all.deb
Size: 26772
MD5sum: b56014976fc142376b9cb3b2e138b67b
SHA1: bf47c9ebab1dc1f1e27af56717425f88187ac290
SHA256: 1bc558587773f21a447850503b7b0e0710f61d4282e2df473675a96b1b40fdf8
SHA512: daaddb73d58f7053249f5ba06d63371930b93ce69f9e2213e431d0d88c9ca38daceee297378ac8da4eeea3b976de3cf072c35a3e396e2dfa8cf10e13f9d977eb
Homepage: https://cran.r-project.org/package=posterdown
Description: CRAN Package 'posterdown' (Generate PDF Conference Posters Using R Markdown)
 Use 'rmarkdown' and 'pagedown' to generate HTML and PDF conference posters.

Package: r-cran-posterior
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1342
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-checkmate, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-tensora, r-cran-pillar, r-cran-distributional, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-caret, r-cran-gbm, r-cran-randomforest, r-cran-e1071, r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-ggplot2, r-cran-ggdist, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-posterior_1.6.1-1.ca2004.1_all.deb
Size: 986460
MD5sum: 86b754e1a47602e3cf52be54010ec92c
SHA1: a2fc0b673eacae05e743115137d577aab28f6437
SHA256: 58114748d93e7e4afffde315345d57eec77a1649027cf73f5ede9e24f3fd20f3
SHA512: f17749946b3c63faf4c3fb9b6dab334916118eca232ee4f4d65f4e771ea728f8bb3a0d7b9dd1e36f708ac83af2d94f029884a71111d0aa873b8c1abd1b0a5410
Homepage: https://cran.r-project.org/package=posterior
Description: CRAN Package 'posterior' (Tools for Working with Posterior Distributions)
 Provides useful tools for both users and developers of packages for fitting
 Bayesian models or working with output from Bayesian models.  The primary
 goals of the package are to: (a) Efficiently convert between many different
 useful formats of draws (samples) from posterior or prior distributions.
 (b) Provide consistent methods for operations commonly performed on draws,
 for example, subsetting, binding, or mutating draws.  (c) Provide various
 summaries of draws in convenient formats.  (d) Provide lightweight
 implementations of state of the art posterior inference diagnostics.
 References: Vehtari et al. (2021) <doi:10.1214/20-BA1221>.

Package: r-cran-posteriorbootstrap
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 746
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-e1071, r-cran-mass
Suggests: r-cran-bh, r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-lintr, r-cran-rcppeigen, r-cran-rcppparallel, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstan, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-posteriorbootstrap_0.1.2-1.ca2004.1_all.deb
Size: 514856
MD5sum: d6b31c717ecc32e38a5675c153dda3f9
SHA1: 20c4bd58142a410c6da0ce4c91de7df76d4ab0e3
SHA256: 723869ee7bdbb08d02099b1a190ce90decad3c2ee68436b60495f9837e4cf3a4
SHA512: d44d1600aabfe3e78826b3088ec2f0e33d932279232711d64640957540e2d2b01db556b7c6ae2722a362444466de921b0fc5c0a6a9970b647b691be9c22c2823
Homepage: https://cran.r-project.org/package=PosteriorBootstrap
Description: CRAN Package 'PosteriorBootstrap' (Non-Parametric Sampling with Parallel Monte Carlo)
 An implementation of a non-parametric statistical model using a parallelised
 Monte Carlo sampling scheme. The method implemented in this package allows
 non-parametric inference to be regularized for small sample sizes, while
 also being more accurate than approximations such as variational Bayes. The
 concentration parameter is an effective sample size parameter, determining
 the faith we have in the model versus the data. When the concentration is
 low, the samples are close to the exact Bayesian logistic regression method;
 when the concentration is high, the samples are close to the simplified
 variational Bayes logistic regression. The method is described in full in
 the paper Lyddon, Walker, and Holmes (2018), "Nonparametric learning from
 Bayesian models with randomized objective functions" <arXiv:1806.11544>.

Package: r-cran-postggir
Architecture: all
Version: 2.4.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1688
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-refund, r-cran-denseflmm, r-cran-dplyr, r-cran-xlsx, r-cran-survival, r-cran-tidyr, r-cran-zoo, r-cran-ineq, r-cran-cosinor, r-cran-cosinor2, r-cran-abind, r-cran-accelerometry, r-cran-actcr, r-cran-actfrag, r-cran-minpack.lm, r-cran-kableextra, r-cran-ggir
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-postggir_2.4.0.2-1.ca2004.1_all.deb
Size: 1010848
MD5sum: 5318d34b516d95469b45392acca2a131
SHA1: ba6f4619e39d7921a983cf68768ff3c0071d72f3
SHA256: 5417c55daa33f9cebb81be001defcb49af39e77718e0c6671d6268d8fcaaf987
SHA512: 684a3d9aae7bfb34f308b03fad2b0dc006a79a02b27f956ca4e27bb8219d4eb257ec2391b321ec44364c722f320af2f5fd916d07c684d2cc2eedf4bbbf076e2c
Homepage: https://cran.r-project.org/package=postGGIR
Description: CRAN Package 'postGGIR' (Data Processing after Running 'GGIR' for Accelerometer Data)
 Generate all necessary R/Rmd/shell files for data processing after running
 'GGIR' (v2.4.0) for accelerometer data. In part 1, all csv files in the GGIR
 output directory were read, transformed and then merged. In part 2, the GGIR
 output files were checked and summarized in one excel sheet. In part 3, the
 merged data was cleaned according to the number of valid hours on each night
 and the number of valid days for each subject. In part 4, the cleaned
 activity data was imputed by the average Euclidean norm minus one (ENMO)
 over all the valid days for each subject. Finally, a comprehensive report of
 data processing was created using Rmarkdown, and the report includes few
 exploratory plots and multiple commonly used features extracted from minute
 level actigraphy data.

Package: r-cran-postgistools
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-dbi, r-cran-jsonlite, r-cran-rgdal, r-cran-rgeos, r-cran-rpostgresql, r-cran-stringr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-postgistools_0.2.4-1.ca2004.1_all.deb
Size: 43740
MD5sum: 857a0f3327a906123c8433d324b98350
SHA1: 0ba731fc3e3ad3d750f62c160617643963bd60d7
SHA256: c37df04a964667b53b85438de8cddec8205a0e2af7be5b240a3c6208afd3ab6c
SHA512: 5486d9bc14a3838c284566a31aee079ce1a4cfbf2b6ce219b716308478dd9b6094f737d8e6f8583a1a8f0de5c9d728f4ce9bbe2589cc9ab4c7aaec815e267961
Homepage: https://cran.r-project.org/package=postGIStools
Description: CRAN Package 'postGIStools' (Tools for Interacting with 'PostgreSQL' / 'PostGIS' Databases)
 Functions to convert geometry and 'hstore' data types from 'PostgreSQL' into
 standard R objects, as well as to simplify the import of R data frames
 (including spatial data frames) into 'PostgreSQL'.  Note: This package is
 deprecated. For new projects, we recommend using the 'sf' package to
 interface with geodatabases.

Package: r-cran-posthoc
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcomp
Suggests: r-cran-xtable, r-cran-lme4, r-cran-nlme, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-posthoc_0.1.3-1.ca2004.1_all.deb
Size: 204884
MD5sum: 836cb96ab1c9a6e1931b4771c5860d44
SHA1: fbb2c5976a325269984e39de71d8085ffdd3af2a
SHA256: 78430f57574a8e91bb866063e28c6fa0e5ea00431fb28139474bf318a5c9f286
SHA512: f9632a4357f8d3a17543e5e8673128a859125f2fa92d9e2c18f1b02e9ab6ae05af9a7fa360f87c8c8f08ee7dfa4631ab1d0359a43b817261d29fe8a0afc537e7
Homepage: https://cran.r-project.org/package=postHoc
Description: CRAN Package 'postHoc' (Tools for Post-Hoc Analysis)
 Implements a range of facilities for post-hoc analysis and summarizing
 linear models, generalized linear models and generalized linear mixed
 models, including grouping and clustering via pairwise comparisons using
 graph representations and efficient algorithms for finding maximal cliques
 of a graph.  Includes also non-parametric toos for post-hoc analysis.  It
 has S3 methods for printing summarizing, and producing plots, line and
 barplots suitable for post-hoc analyses.

Package: r-cran-postinfectious
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-postinfectious_0.1.0-1.ca2004.1_all.deb
Size: 24836
MD5sum: 88d390db90729ca1f14350a5e4c6f2b1
SHA1: 221568c7dc1001a0ac939e530674b184805a1749
SHA256: 2ca16f77ed7fe2ba238dbeeba07afe436af0e176b16771b4d8790013d0ce9671
SHA512: d6fb8ae88b776d0600e88dc727923d2c2058ae56292b54d79e73a38b0092347e25bd35fcdf55cd2bb8e686c59ab1d1d199952823e4de5f7d345d9c162430bd50
Homepage: https://cran.r-project.org/package=postinfectious
Description: CRAN Package 'postinfectious' (Estimating the Incubation Period Distribution of Post-InfectiousSyndrome)
 Functions to estimate the incubation period distribution of post-infectious
 syndrome which is defined as the time between the symptom onset of the
 antecedent infection and that of the post-infectious syndrome.

Package: r-cran-postlightmercury
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-crul, r-cran-purrr, r-cran-jsonlite, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-postlightmercury_1.2-1.ca2004.1_all.deb
Size: 15672
MD5sum: 572ddf6baaf3c716a2bd6ac9dd5c7a84
SHA1: 4c5262e9333c1a9297e0f7f28c9d60fcf6cf9d3d
SHA256: b7f433322e9ad8f51d3fc0e260e7c74263dbdb22743d9ad0437296ce8a3dbd9d
SHA512: ba18717640d3fcc1f64aedf2ac1ccf1c3f6adec71eb8395fa1e4e3ef87302625946e88ad8d8a59e413bb8be374c5560a0290ad68e297249176443e636b9c2593
Homepage: https://cran.r-project.org/package=postlightmercury
Description: CRAN Package 'postlightmercury' (Parses Web Pages using Postlight Mercury)
 This is a wrapper for the Mercury Parser API. The Mercury Parser is a single
 API endpoint that takes a URL and gives you back the content reliably and
 easily.  With just one API request, Mercury takes any web article and
 returns only the relevant content — headline, author, body text, relevant
 images and more — free from any clutter. It’s reliable, easy-to-use and
 free.  See the webpage here: <https://mercury.postlight.com/>.

Package: r-cran-postlogic
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-postlogic_0.1.0.1-1.ca2004.1_all.deb
Size: 13760
MD5sum: f40afda46241cc8a18329908414fbf1b
SHA1: 2354e5b2ae7e7a62f33dddcd361b823b646854a7
SHA256: f034dc22799754b94914a61defe05c26bbc2689831e032cd9dfd17d24593fb24
SHA512: 3922c0445c3eb65015380bcb9ae7f38b0662b41ff385ca95aa730e15805310dc63ac96134d476ec3d2d665811ec0d7560524f40d29fb4dc842f243107984ef6a
Homepage: https://cran.r-project.org/package=postlogic
Description: CRAN Package 'postlogic' (Infix and Postfix Logic Operators)
 Provides adds postfix and infix logic operators for if, then, unless, and
 otherwise.

Package: r-cran-postm
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1655
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-compquadform, r-cran-ape
Suggests: r-bioc-multtest, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-postm_1.4-1.ca2004.1_all.deb
Size: 1398664
MD5sum: cc3fdd6a9497b5bc0831443e38985d90
SHA1: 50492c05d28ce41b05993094df6366c098175e5e
SHA256: 95955538175cdfea48b084723437cedf1b9c836cc7a9231b7399554d1dcee30a
SHA512: 4f7ad6e39d79ef1d6de5b8d971c36ed0ce6cc6d144d6d0f3c2e24e85790a783e75f554a2b044387996868e900a67744a91c60607a21bc8d337963a66f6173a93
Homepage: https://cran.r-project.org/package=POSTm
Description: CRAN Package 'POSTm' (Phylogeny-Guided OTU-Specific Association Test for MicrobiomeData)
 Implements the Phylogeny-Guided Microbiome OTU-Specific Association Test
 method, which boosts the testing power by adaptively borrowing information
 from phylogenetically close OTUs (operational taxonomic units) of the target
 OTU. This method is built on a kernel machine regression framework and
 allows for flexible modeling of complex microbiome effects, adjustments for
 covariates, and can accommodate both continuous and binary outcomes.

Package: r-cran-postpack
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-mcmcse, r-cran-abind
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rstan, r-cran-r2winbugs, r-cran-r2jags, r-cran-r2openbugs, r-cran-nimble, r-cran-rjags, r-cran-jagsui
Filename: pool/dists/focal/main/r-cran-postpack_0.5.4-1.ca2004.1_all.deb
Size: 510752
MD5sum: 5bddfce89881dcb0dfb65493d7b85ef6
SHA1: 2a0eb5f9d35379f375c4f132b4786bb86f1b165c
SHA256: 9945387468361973488ee69aa54cb98ee666c19a50874d040e4ca75ac4c534f8
SHA512: b330ae8e113fca0401cc859b155e314364478871e0e99167d49ddd44c435b1f87de42b5e93a23240fdcc37eeda26890033822612016fe4db82db6c8bff4eea08
Homepage: https://cran.r-project.org/package=postpack
Description: CRAN Package 'postpack' (Utilities for Processing Posterior Samples Stored in'mcmc.lists')
 The aim of 'postpack' is to provide the infrastructure for a standardized
 workflow for 'mcmc.list' objects.  These objects can be used to store output
 from models fitted with Bayesian inference using 'JAGS', 'WinBUGS',
 'OpenBUGS', 'NIMBLE', 'Stan', or even custom MCMC algorithms. Although the
 'coda' R package provides some methods for these objects, it is somewhat
 limited in easily performing post-processing tasks for specific nodes.
 Models are ever increasing in their complexity and the number of tracked
 nodes, and oftentimes a user may wish to summarize/diagnose sampling
 behavior for only a small subset of nodes at a time for a particular
 question or figure. Thus, many 'postpack' functions support performing tasks
 on a subset of nodes, where the subset is specified with regular
 expressions. The functions in 'postpack' streamline the extraction,
 summarization, and diagnostics of specific monitored nodes after model
 fitting.  Further, because there is rarely only ever one model under
 consideration, 'postpack' scales efficiently to perform the same tasks on
 output from multiple models simultaneously, facilitating rapid assessment of
 model sensitivity to changes in assumptions.

Package: r-cran-potential
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1694
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf, r-cran-mapiso, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-covr, r-cran-lwgeom, r-cran-eurostat, r-cran-giscor, r-cran-mapsf, r-cran-knitr, r-cran-tinytest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-potential_0.2.0-1.ca2004.1_all.deb
Size: 1301620
MD5sum: dd572811ec8faedebf9be162f99da6a8
SHA1: ceec525d91442951c72d08b71367f9cbc470c6ac
SHA256: a00bb1664a335d548340d47cec7d6cad73374911a11a97b5f6e3ffd4f41d550c
SHA512: 7a78aa4310d3d0bb4f592a149f823d29d6e8189e29bfe0766428e164e11f286f30f2ff544720d701a1510c07208364fc259fa746d1ca8f3269ff398b943fe502
Homepage: https://cran.r-project.org/package=potential
Description: CRAN Package 'potential' (Implementation of the Potential Model)
 Provides functions to compute the potential model as defined by Stewart
 (1941) <doi:10.1126/science.93.2404.89>. Several options are available to
 customize the model, such as the possibility to fine-tune the distance
 friction functions or to use custom distance matrices. Some computations are
 parallelized to improve their efficiency.

Package: r-cran-poth
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-stringr, r-cran-netmeta, r-cran-mass
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-poth_0.3-0-1.ca2004.1_all.deb
Size: 99396
MD5sum: 4ca37aed3fee573788ca7bcac4ef3f3c
SHA1: 219d4666c5165418880212bd206f081b0b6f9ad8
SHA256: 244915345bfa7af6aa599f50d20aa97168d093096475fbdb8e391dcadb4c6229
SHA512: 4dce4fe9703bc8ffbb28588ca142c365ca6e2da45248dd4ccdcaeb56ac84fa3f7e41e79f0f7c79c920f98ce43b05715df1f455fa831a5700064edf661c949dc6
Homepage: https://cran.r-project.org/package=poth
Description: CRAN Package 'poth' (Precision of Treatment Hierarchy (POTH))
 Calculate POTH for treatment hierarchies from frequentist and Bayesian
 network meta-analysis. POTH quantifies the certainty in a treatment
 hierarchy. Subset POTH, POTH residuals, and best k treatments POTH can also
 be calculated to improve interpretation of treatment hierarchies.

Package: r-cran-potions
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-lobstr, r-cran-purrr, r-cran-rrapply, r-cran-rlang, r-cran-stringi, r-cran-yaml
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-potions_0.2.0-1.ca2004.1_all.deb
Size: 445728
MD5sum: 7cfd4490b4098f250d67702cab4a9364
SHA1: 88165bbcefef5d4564ff499133fe83333bb0bc6e
SHA256: 00d70bfbb022c71ed03dc9db44ab4eb811317061b5d8db1505242e4abd2d9e43
SHA512: b1906206becedf1ff4ad6ea73b91ee935561e4be40d0908a057d7d86098b93d0167a9bf041ecbde51264f0544189c4083d7a2065d031b0da94c2f4394d5f103f
Homepage: https://cran.r-project.org/package=potions
Description: CRAN Package 'potions' (Easy Options Management)
 Store and retrieve data from options() using syntax derived from the 'here'
 package. 'potions' makes it straightforward to update and retrieve options,
 either in the workspace or during package development, without overwriting
 global options.

Package: r-cran-potools
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 488
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-glue
Suggests: r-cran-crayon, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-potools_0.2.4-1.ca2004.1_all.deb
Size: 312672
MD5sum: c3c545e87d20fa983ee64b771dca0457
SHA1: 6c43eedb38420affc2a4edfd499ba6f5890a05ae
SHA256: d0bd313cc426eb9474836dd3fda1e0280745957acd7a8e5af7b5c4cde72b41a5
SHA512: 6e8e7a0371d183d5b9f8fcb235e86e32798635e86eec5944c84d417cf90e5899dd8eadbc81cafb81791c3ccefd3451f7320475d17938b049ee4029cdb60c52cf
Homepage: https://cran.r-project.org/package=potools
Description: CRAN Package 'potools' (Tools for Internationalization and Portability in R Packages)
 Translating messages in R packages is managed using the po top-level
 directory and the 'gettext' program. This package provides some helper
 functions for building this support in R packages, e.g.  common validation &
 I/O tasks.

Package: r-cran-pould
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-haplo.stats, r-cran-gap, r-cran-ggplot2, r-cran-reshape2, r-cran-bigdawg
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pould_1.0.1-1.ca2004.1_all.deb
Size: 101204
MD5sum: 69d8a431416ed717a23c204934019f89
SHA1: fb94cd953649f0e89003b313dd858fe883e83e8b
SHA256: cf35ca3e31f67b32de3f6ac2e5ab4cfa34d4783710bb4a8924b7648ab0266547
SHA512: a2df349c28db6d365fe7c0ca5cbf189ae21e1181be98bbfe0e8a7f484e18e9193d17484cfc3987e0c0b3c68c3162df9a0cb055b03d17ddbb985b782649b3fc58
Homepage: https://cran.r-project.org/package=pould
Description: CRAN Package 'pould' (Phased or Unphased Linkage Disequilibrium)
 Computes the D', Wn, and conditional asymmetric linkage disequilibrium (ALD)
 measures for pairs of genetic loci. Performs these linkage disequilibrium
 (LD) calculations on phased genotype data recorded using Genotype List (GL)
 String or columnar formats. Alternatively, generates
 expectation-maximization (EM) estimated haplotypes from phased data, or
 performs LD calculations on EM estimated haplotypes. Performs sign tests
 comparing LD values for phased and unphased datasets, and generates
 heat-maps for each LD measure. Described by Osoegawa et al. (2019a)
 <doi:10.1016/j.humimm.2019.01.010>, and Osoegawa et. al. (2019b)
 <doi:10.1016/j.humimm.2019.05.018>.

Package: r-cran-pov
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-formula.tools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pov_0.1.4-1.ca2004.1_all.deb
Size: 238412
MD5sum: 79d0ddf89daa4fbf18df07aa8e2d4486
SHA1: 2f0b72c413d6143b681eb11d6b54592b0328b80b
SHA256: 0c262a25a99c3a3436f0284a1c5631769de5f77de5517f42f30b84909275f652
SHA512: 76a236e6f6ddeea2711161d6133b51b06ad8484cc89f82f031e19ea3708981983580cea7cffe8487f303f9cb2a287c7031efb97c83b02b7762f96d32a651c1cb
Homepage: https://cran.r-project.org/package=POV
Description: CRAN Package 'POV' (Partition of Variation Variance Component Analysis Method)
 An implementation of the Partition Of variation (POV) method as developed by
 Dr. Thomas A Little <https://thomasalittleconsulting.com> in 1993 for the
 analysis of semiconductor data for hard drive manufacturing.  POV is based
 on sequential sum of squares and is an exact method that explains all
 observed variation. It quantitates both the between and within factor
 variation effects and can quantitate the influence of both continuous and
 categorical factors.

Package: r-cran-povcalnetr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-stringr, r-cran-httr, r-cran-jsonlite, r-cran-readr, r-cran-tibble, r-cran-dplyr, r-cran-js, r-cran-tidyr, r-cran-naniar, r-cran-memoise
Suggests: r-cran-testthat, r-cran-assertthat, r-cran-knitr, r-cran-rmarkdown, r-cran-forcats, r-cran-scales, r-cran-ggthemes, r-cran-ggplot2, r-cran-utf8, r-cran-httptest
Filename: pool/dists/focal/main/r-cran-povcalnetr_0.1.1-1.ca2004.1_all.deb
Size: 194476
MD5sum: 453048af06c93fb30843bf7db1fb3f62
SHA1: a55c9baf86981f53f199105457356d3a8d2f0cc6
SHA256: 7879652660490ca3e9ba2ebd62bf77fa136cdded61a92bad017183cdffd91375
SHA512: 0106ffa4b5d1e6ba8adfe4d3995288ef530c2af598d08e322742e0ffaf4b38a30cfbcfa7c09ed1e09a8080ecc5d34803f47a4c36e6f115d9b50a033ad92068b7
Homepage: https://cran.r-project.org/package=povcalnetR
Description: CRAN Package 'povcalnetR' (Client for the 'Povcalnet' API)
 Provides an interface to compute poverty and inequality indicators for more
 than 160 countries and regions from the World Bank's database of household
 surveys. It has the same functionality as the 'Povcalnet' website
 (<http://iresearch.worldbank.org/PovcalNet/>). 'Povcalnet' is a
 computational tool that allows users to estimate poverty rates for regions,
 sets of countries or individual countries, over time and at any poverty
 line. 'Povcalnet' is managed jointly by the data and research group in the
 World Bank's development economics division. It draws heavily upon a strong
 collaboration with the poverty and equity global practice, which is
 responsible for the gathering and harmonization of the underlying survey
 data.

Package: r-cran-povmap
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4226
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme, r-cran-moments, r-cran-ggplot2, r-cran-mumin, r-cran-gridextra, r-cran-openxlsx, r-cran-reshape2, r-cran-stringr, r-cran-parallelmap, r-cran-hlmdiag, r-cran-boot, r-cran-mass, r-cran-readods, r-cran-formula.tools, r-cran-saerobust, r-cran-spdep, r-cran-bestnormalize, r-cran-survey, r-cran-sf
Suggests: r-cran-testthat, r-cran-r.rsp, r-cran-simframe, r-cran-laeken
Filename: pool/dists/focal/main/r-cran-povmap_1.0.1-1.ca2004.1_all.deb
Size: 4192152
MD5sum: f947660af4d0ef08bab521e970612775
SHA1: 0d62d70cc6749beac9a7f9d3e8a44678e5784a2d
SHA256: 9d4b8320709b39726560c5dc1f48a1244e55e3cdfa8095092a4fb10a401e6fd6
SHA512: d587b8d21298900c6c35fd26e14d0b40026c11b7c2f8807d27b5be98e74cff076a048a4f1a72abf5697c312a7c0d2e4c24e57a7fe19e816565320f94afd6e8dd
Homepage: https://cran.r-project.org/package=povmap
Description: CRAN Package 'povmap' (Extension to the 'emdi' Package)
 The R package 'povmap' supports small area estimation of means and poverty
 headcount rates. It adds several new features to the 'emdi' package (see
 "The R Package emdi for Estimating and Mapping Regionally Disaggregated
 Indicators" by Kreutzmann et al. (2019) <doi:10.18637/jss.v091.i07>).  These
 include new options for incorporating survey weights, ex-post benchmarking
 of estimates, two additional transformations, several new convenient
 functions to assist with reporting results, and a wrapper function to
 facilitate access from 'Stata'.

Package: r-cran-powdist
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmutil, r-cran-gamlss.dist, r-cran-normalp
Filename: pool/dists/focal/main/r-cran-powdist_0.1.4-1.ca2004.1_all.deb
Size: 105476
MD5sum: de3e123841bac0b727c16688409651d8
SHA1: 94b7fc2a76eca1cf8dd69e382e78323d57dd6620
SHA256: 989cdb6911ced00a5c1a58d35634784021f45a368e528a08c33338d58b408430
SHA512: 949344fdc936b6b40bf06a93bb7a4a4c1347410f25d87675be1fa6c438d6dc214f7f4c847da2f29331e28c6ef73d6a083a6bda83d2faec5dc80afc9803200249
Homepage: https://cran.r-project.org/package=powdist
Description: CRAN Package 'powdist' (Power and Reversal Power Distributions)
 Density, distribution function, quantile function and random generation for
 the family of power and reversal power distributions.

Package: r-cran-powdr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5013
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-reshape, r-cran-plotly, r-cran-ggplot2, r-cran-shiny, r-cran-dt, r-cran-nnls, r-cran-shinywidgets, r-cran-baseline, r-cran-tidyr, r-cran-factominer, r-cran-factoextra, r-cran-rxylib
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-powdr_1.3.0-1.ca2004.1_all.deb
Size: 2173344
MD5sum: 93bea02658c809a4b39453672114926b
SHA1: 8788b5124237f5fd5cd722c086cad3546c55c590
SHA256: c173579e8abdd03b44bdb687f727cdc041209b93307502c305536db6d4fd945d
SHA512: af256bcca7ef3b534c32cfd5a0d4c7c10f8e6376694335ddc53933fed0aba00bbffe5d48e77ea7d8a2eb1d5d2e25e92e6b51529f7da75db5ce7122afd8f85b8d
Homepage: https://cran.r-project.org/package=powdR
Description: CRAN Package 'powdR' (Full Pattern Summation of X-Ray Powder Diffraction Data)
 Full pattern summation of X-ray powder diffraction data as described in
 Chipera and Bish (2002) <doi:10.1107/S0021889802017405> and Butler and
 Hillier (2021) <doi:10.1016/j.cageo.2020.104662>.  Derives quantitative
 estimates of crystalline and amorphous phase concentrations in complex
 mixtures.

Package: r-cran-power.transform
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 511
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rlang, r-cran-nloptr
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-power.transform_1.0.1-1.ca2004.1_all.deb
Size: 412576
MD5sum: 1cab85bdf60ac6bea745b031cd414d33
SHA1: 07836eb0cdd52f99f6c3c1c5658cda4db37af787
SHA256: e69018ec44849c43e8287c46b691f015e7d027561b8efc38ac206808abc87b06
SHA512: 496ab49070590da66ed9682b81f7d9ae75e4e9e636a32886a618a6a818e0437f44d433ba030511b0f76b855a5d3ba151df148f2c513c201ceebe4f48337e5ec0
Homepage: https://cran.r-project.org/package=power.transform
Description: CRAN Package 'power.transform' (Location and Scale Invariant Power Transformations)
 Location- and scale-invariant Box-Cox and Yeo-Johnson power transformations
 allow for transforming variables with distributions distant from 0 to
 normality. Transformers are implemented as S4 objects. These allow for
 transforming new instances to normality after optimising fitting parameters
 on other data. A test for central normality allows for rejecting
 transformations that fail to produce a suitably normal distribution,
 independent of sample number.

Package: r-cran-power2stage
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 841
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-powertost, r-cran-mvtnorm, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-power2stage_0.5-4-1.ca2004.1_all.deb
Size: 678784
MD5sum: c95f66a72b7d8331c3e63303a7c9e571
SHA1: d4df8d566ee8b8789c3566105f92a0fa5e754d7b
SHA256: 76781c740699f8486d91ba6bf531e5e8c98a82f238400ca6cf61c0a6b681c6ed
SHA512: bb7ea22eca58075ca8dab5ebf77853e5c52d498968b3bb1e30f4449db26eb230642476e9b5e83f9a1039550308e87047f3f5602d0361188778ad84b9047ba704
Homepage: https://cran.r-project.org/package=Power2Stage
Description: CRAN Package 'Power2Stage' (Power and Sample-Size Distribution of 2-Stage BioequivalenceStudies)
 Contains functions to obtain the operational characteristics of
 bioequivalence studies in Two-Stage Designs (TSD) via simulations.

Package: r-cran-poweranalysis
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-poweranalysis_0.2.1-1.ca2004.1_all.deb
Size: 64972
MD5sum: bad8718e8f7ada4f1c39d2ab48306b0c
SHA1: 1e236b83e9c33c63ee357ac519a374678b86ecee
SHA256: 4bab4a424d68d66d22443432e338150e8df2754963602d86c210e9850dec5cee
SHA512: b3be94f5c1955395d5b805b3ad6bd8845a664ea6a25d1c457df89d9026f7e4ff39837891fa5ccf1adb654e755c9a4b7ee188bc277efee3d14f4d77e5d15083c7
Homepage: https://cran.r-project.org/package=powerAnalysis
Description: CRAN Package 'powerAnalysis' (Power Analysis in Experimental Design)
 Basic functions for power analysis and effect size calculation.

Package: r-cran-powerbal
Architecture: all
Version: 0.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-scales, r-cran-phytools, r-cran-treebalance, r-cran-r.utils, r-cran-diversitree
Suggests: r-cran-memoise
Filename: pool/dists/focal/main/r-cran-powerbal_0.0.1.1-1.ca2004.1_all.deb
Size: 255428
MD5sum: 8fc47dd425b66da5a4fe0151ad6c1291
SHA1: ff30ee0efe4ee082e59deedaf79d5608bc3d49d1
SHA256: de5fe1e23949859a50e84e12a439ec8209232916e72d9b8be4e580258a8002e3
SHA512: 27eca316cad17c2dcf13d4086bbc76a2fedb71b5a91196b28dd592f227002cebcc27b16edf2bcd11c1e8b1f449b9a4494df0f73ec1f5a2cf7cc9353ada356a9e
Homepage: https://cran.r-project.org/package=poweRbal
Description: CRAN Package 'poweRbal' (Phylogenetic Tree Models and the Power of Tree Shape Statistics)
 The first goal of this package is to provide a multitude of tree models,
 i.e., functions that generate rooted binary trees with a given number of
 leaves.  Second, the package allows for an easy evaluation and comparison of
 tree shape statistics by estimating their power to differentiate between
 different tree models.  Please note that this R package was developed
 alongside the manuscript "Tree balance in phylogenetic models" by S. J.
 Kersting, K. Wicke, and M. Fischer (2024) <doi:10.48550/arXiv.2406.05185>,
 which provides further background and the respective mathematical
 definitions.  This project was supported by the project ArtIGROW, which is a
 part of the WIR!-Alliance ArtIFARM – Artificial Intelligence in Farming
 funded by the German Federal Ministry of Education and Research (No.
 03WIR4805).

Package: r-cran-powerbir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-httr, r-cran-azureauth
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-powerbir_0.1.0-1.ca2004.1_all.deb
Size: 90944
MD5sum: 9be6e2d9257ae16963b896430ff7e9e2
SHA1: e61af7f874b306c8ef0199d82e2142954b0ac585
SHA256: 7bd89e137bd84b115e08427b5b6434106ea4e9d640a29f1426092de16b9ce6f3
SHA512: 7cc52e506828ba31e2666a7fcb7c7f9ac58ed7f2eee6a835eace242a18ac95f1409d3b5338f511d2edb2d247a37daf486a776cd3b5bfee0767a38bc154266b70
Homepage: https://cran.r-project.org/package=powerbiR
Description: CRAN Package 'powerbiR' (An Interface to the 'Power BI REST APIs')
 Makes it easy to push data to 'Power BI' using R and the 'Power BI REST
 APIs' (see <https://docs.microsoft.com/en-us/rest/api/power-bi/>).  A set of
 functions for turning data frames into 'Power BI' datasets and refreshing
 these datasets are provided. Administrative tasks such as monitoring refresh
 statuses and pulling metadata about workspaces and users are also supported.

Package: r-cran-powerbydesign
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-gdata, r-cran-mass, r-cran-reshape2, r-cran-stringr, r-cran-plyr, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powerbydesign_1.0.5-1.ca2004.1_all.deb
Size: 31720
MD5sum: 267d8bbeb0402799c8672a55040af657
SHA1: ae184d5f415e52583890b48f8950b3e95722104b
SHA256: 7eca6524da9ee168a156f2d5dd0f83ffd2ae4fb70c586fe3cd191a0f23fe2059
SHA512: 04002d20a630e72f073ef3320b85b3680edf3a3e15cce9a031d620f4c4021df25b7430b3e3b11e1155328bbc31dd6624303f4787cae2d5b4c65f6441317494ab
Homepage: https://cran.r-project.org/package=powerbydesign
Description: CRAN Package 'powerbydesign' (Power Estimates for ANOVA Designs)
 Functions for bootstrapping the power of ANOVA designs based on estimated
 means and standard deviations of the conditions.  Please refer to the
 documentation of the boot.power.anova() function for further details.

Package: r-cran-powercomprisk
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-powercomprisk_1.0.1-1.ca2004.1_all.deb
Size: 16136
MD5sum: a7d5483b743d77435cc2a861fb67bf8a
SHA1: 0ffd4330229b91b6ac3f4477feae56214dfe84bc
SHA256: 50b6f58748460570f2639fa3f1c3eafa947024ffe24cec07b47b60a580c6718b
SHA512: 78fb6fc5edadcc77aa6edb90bd9e93043f8c41b1225193d5bdd964e74da644aa050f811ceeff5f1f805053cdba6f20350b3af21613fd09c913c09d8012d21a84
Homepage: https://cran.r-project.org/package=powerCompRisk
Description: CRAN Package 'powerCompRisk' (Power Analysis Tool for Joint Testing Hazards with CompetingRisks Data)
 A power analysis tool for jointly testing the cause-1 cause-specific hazard
 and the any-cause hazard with competing risks data.

Package: r-cran-powereqtl
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nlme, r-cran-glmmadaptive
Filename: pool/dists/focal/main/r-cran-powereqtl_0.3.6-1.ca2004.1_all.deb
Size: 103584
MD5sum: c752c52754e70010deaa1e1da4f65b5e
SHA1: 68d200cc5f779752cae45915b1000cf267498c3b
SHA256: 1aab8fcec8d3731d1fec125e141db7649fbd55d32b1ea171788ae03470c960be
SHA512: d56829d1f5fa168085a8cc73d041f22c7f9a987a84112ebe821e2304f638f679f05abf592557f9834728a53c00993c21b4c0f8ceb39df54c3e8f6850cfcadf28
Homepage: https://cran.r-project.org/package=powerEQTL
Description: CRAN Package 'powerEQTL' (Power and Sample Size Calculation for Bulk Tissue andSingle-Cell eQTL Analysis)
 Power and sample size calculation for bulk tissue and single-cell eQTL
 analysis based on ANOVA, simple linear regression, or linear mixed effects
 model. It can also calculate power/sample size for testing the association
 of a SNP to a continuous type phenotype.  Please see the reference: Dong X,
 Li X, Chang T-W, Scherzer CR, Weiss ST, Qiu W. (2021)
 <doi:10.1093/bioinformatics/btab385>.

Package: r-cran-powerest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scam, r-cran-seurat, r-cran-dplyr, r-cran-plotly, r-cran-resample, r-cran-xgboost, r-cran-magrittr, r-cran-rayshader, r-cran-ggplot2
Suggests: r-cran-patchwork, r-cran-boot, r-cran-knitr, r-cran-rmarkdown, r-cran-fields, r-cran-rayrender, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-powerest_0.1.0-1.ca2004.1_all.deb
Size: 327244
MD5sum: 138521665e07963b8455c46d400449a8
SHA1: ef3969acda5225e2ef8157819d94d4482471a5dd
SHA256: e2ed80d016be56b3a7bab32ecfe9fe163fe5430ef9a06c8c0c119dbc60fbbe7d
SHA512: 7d686a1141b56536047ca016c792372ec287d22038f3a6602e9faa81854b112f1d71da5f05f68bdfb78d99159530505d74d2ea548c3f7ef5dfd3a72cc31c9278
Homepage: https://cran.r-project.org/package=PoweREST
Description: CRAN Package 'PoweREST' (A Bootstrap-Based Power Estimation Tool for SpatialTranscriptomics)
 Power estimation and sample size calculation for 10X Visium Spatial
 Transcriptomics data to detect differential expressed genes between two
 conditions based on bootstrap resampling. See Shui et al. (2024)
 <doi:10.1101/2024.08.30.610564> for method details.

Package: r-cran-powergwasinteraction
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-pwr
Filename: pool/dists/focal/main/r-cran-powergwasinteraction_1.1.3-1.ca2004.1_all.deb
Size: 61196
MD5sum: 1ead8ea1d8c727c731edf1250d2116e4
SHA1: 265b680086527e1bf57dcda7a71613ac0593da22
SHA256: 7ed044fa7ef2235b38327365b8c899a1775161a3d58dd7c97613e4e2f8757ffc
SHA512: 11cd81d492823b922aa29cc2b92228292dd852d51393961d9d4ebd09e288cebbd7d73e29476aeb50f68cc14b751d4046b4ebfd29efbd34f609aa589e4ba5a748
Homepage: https://cran.r-project.org/package=powerGWASinteraction
Description: CRAN Package 'powerGWASinteraction' (Power Calculations for GxE and GxG Interactions for GWAS)
 Analytical power calculations for GxE and GxG interactions for case-control
 studies of candidate genes and genome-wide association studies (GWAS). This
 includes power calculation for four two-step screening and testing
 procedures.  It can also calculate power for GxE and GxG without any
 screening.

Package: r-cran-powerhe
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powerhe_1.0.1-1.ca2004.1_all.deb
Size: 48420
MD5sum: 49960c90f30900f534032eee93a3b2e7
SHA1: 5a49a966171be681266dffbed56dd788ba6df871
SHA256: 7e28bc8508c62ddfafe21a329804acdf48b75d05f38422969811a17e7f8c126b
SHA512: 3611106763623748430778c3449f1e56878eeb015df6e24af71e211e6f304933763ca9f327e14c5b783a35267e7804ea8bafb8445ccaf048048ba8df777f7cd9
Homepage: https://cran.r-project.org/package=powerHE
Description: CRAN Package 'powerHE' (Power and Sample Size Calculations with Hierarchical Endpoints)
 Calculate sample size or power for hierarchical endpoints.  The package can
 handle any type of outcomes (binary, continuous, count, ordinal,
 time-to-event) and any number of such endpoints. It allows users to
 calculate sample size with a given power or to calculate power with a given
 sample size for hypothesis testing based on win ratios, win odds, net
 benefit, or DOOR (desirability of outcome ranking) as treatment effect
 between two groups for hierarchical endpoints. The methods of this package
 are described further in the paper by Barnhart, H. X. et al. (2024,
 <doi:10.1080/19466315.2024.2365629>).

Package: r-cran-powerindexr
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powerindexr_1.6-1.ca2004.1_all.deb
Size: 63188
MD5sum: e0a49017d5ab4b4fed483145251bdcb9
SHA1: 3bcba80c3b942f715872a17a4c0dc83b6255f757
SHA256: 4cd8ea096a22dc1cb2ccfa75817f00b04bc358ec9cdd010c3652257d36c0ab88
SHA512: af6320d5b328e18649cd8a911b307c43a8901673b77f72b26090b8e9fef79e3eeb6d1659ec553cf7c9087df0b5eaa2df124f394e97f76024a94174edd5eac61a
Homepage: https://cran.r-project.org/package=powerindexR
Description: CRAN Package 'powerindexR' (Measuring the Power in Voting Systems)
 This R package allows the determination of some distributions of the voters'
 power when passing laws in weighted voting situations.

Package: r-cran-powerjoin
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-rlang, r-cran-tidyselect, r-cran-vctrs, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powerjoin_0.1.0-1.ca2004.1_all.deb
Size: 198840
MD5sum: f27b06f03feb92c28114aecd78e83681
SHA1: 51fd515edf07657066b10a6953dd664e8e3b477a
SHA256: 68afdd19f9a55b98a2e6eed90b3ef3ac514d48bd9051f93595a8f7640f4604a0
SHA512: 2c250c0fcfdd3de79cb0a74481dd2a4813510f741fc6b53c245b234826031f6f4d5d81dcf09cff946d94e8d2211cda33b5428dcdaff791e573288f86ee280f8b
Homepage: https://cran.r-project.org/package=powerjoin
Description: CRAN Package 'powerjoin' (Extensions of 'dplyr' and 'fuzzyjoin' Join Functions)
 We extend 'dplyr' and 'fuzzyjoin' join functions with features to preprocess
 the data, apply various data checks, and deal with conflicting columns.

Package: r-cran-powerlate
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powerlate_0.1.2-1.ca2004.1_all.deb
Size: 74600
MD5sum: 77095e264a496568371418b9a7ca7db2
SHA1: de2646ce14baf5c6941d05f5277079ea600a1464
SHA256: 697e44df89a5a0de377849ce1ec15ec8194a5eda5f5c9329b53a0b2d199b9baf
SHA512: a2810cd7dd97201c94406835b911a07403916671fb2584f037e1cf06e112149df8660a8d5f7c7180a935f16dc348bf87efb32645f10d5b4f95bb9d1358c5c89e
Homepage: https://cran.r-project.org/package=powerLATE
Description: CRAN Package 'powerLATE' (Generalized Power Analysis for LATE)
 An implementation of the generalized power analysis for the local average
 treatment effect (LATE), proposed by Bansak (2020) <doi:10.1214/19-STS732>.
 Power analysis is in the context of estimating the LATE (also known as the
 complier average causal effect, or CACE), with calculations based on a test
 of the null hypothesis that the LATE equals 0 with a two-sided alternative.
 The method uses standardized effect sizes to place a conservative bound on
 the power under minimal assumptions. Package allows users to recover power,
 sample size requirements, or minimum detectable effect sizes. Package also
 allows users to work with absolute effects rather than effect sizes, to
 specify an additional assumption to narrow the bounds, and to incorporate
 covariate adjustment.

Package: r-cran-powerlaw
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-covr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powerlaw_1.0.0-1.ca2004.1_all.deb
Size: 3492288
MD5sum: 122d698a927fd8cc17aba8e171f135d7
SHA1: b0451571bb62a633ad0ddd1f309429e54f75ff26
SHA256: a03ff471819e6052669020a39856743bcf337bb42ee578a530b779af33fc205c
SHA512: 14e50d48c13fb5b8a3e00fa122900c24d13a989ba41c3b3ffadd9894deab4c9420c3f20f62545058b5a1bbae64c06085200c060e744307e829685eb06e04d1a5
Homepage: https://cran.r-project.org/package=poweRlaw
Description: CRAN Package 'poweRlaw' (Analysis of Heavy Tailed Distributions)
 An implementation of maximum likelihood estimators for a variety of heavy
 tailed distributions, including both the discrete and continuous power law
 distributions. Additionally, a goodness-of-fit based approach is used to
 estimate the lower cut-off for the scaling region.

Package: r-cran-powerly
Architecture: all
Version: 1.8.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2622
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-progress, r-cran-splines2, r-cran-quadprog, r-cran-osqp, r-cran-bootnet, r-cran-qgraph, r-cran-ggplot2, r-cran-rlang, r-cran-mvtnorm, r-cran-patchwork
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powerly_1.8.6-1.ca2004.1_all.deb
Size: 2120776
MD5sum: f24fbfa549c9bbe85f5f4c115d9b424b
SHA1: f665d24465bfce5a6d0c76ae5cfa08a1c9324002
SHA256: 4471c7e3f1b5fcda20d69952d516feed8329da4e1923a2cfd80a954ce093847c
SHA512: 671c776a5d332f985ac25a79e969562b1b0ad8acb56e8f9c70dfb12f6b11a37a69f072536ecedd1c79d090b5da7e81abd02cb1bd918b7902701ac7a2821d40fe
Homepage: https://cran.r-project.org/package=powerly
Description: CRAN Package 'powerly' (Sample Size Analysis for Psychological Networks and More)
 An implementation of the sample size computation method for network models
 proposed by Constantin et al. (2021) <doi:10.31234/osf.io/j5v7u>.  The
 implementation takes the form of a three-step recursive algorithm designed
 to find an optimal sample size given a model specification and a performance
 measure of interest. It starts with a Monte Carlo simulation step for
 computing the performance measure and a statistic at various sample sizes
 selected from an initial sample size range. It continues with a monotone
 curve-fitting step for interpolating the statistic across the entire sample
 size range. The final step employs stratified bootstrapping to quantify the
 uncertainty around the fitted curve.

Package: r-cran-powermediation
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powermediation_0.3.4-1.ca2004.1_all.deb
Size: 202304
MD5sum: 4398b6a2ae8eea5528e048ae55235bbb
SHA1: f7c338f235fd90ef60b21168b450f2679961f4e4
SHA256: 025d104fe3ae96c6e059ec0847ef86b74b5b36050cf53979ba6632f66c33515c
SHA512: 2368c3c851732cc88a019458547e6e64b0ed4b0ff5ba60aed02a32ecc876c5a61f1ca0496fb37b43574dd2a1e79ef836f060fe19fc9ac21c19dc02a52bb97b86
Homepage: https://cran.r-project.org/package=powerMediation
Description: CRAN Package 'powerMediation' (Power/Sample Size Calculation for Mediation Analysis)
 Functions to calculate power and sample size for testing (1) mediation
 effects; (2) the slope in a simple linear regression; (3) odds ratio in a
 simple logistic regression; (4) mean change for longitudinal study with 2
 time points; (5) interaction effect in 2-way ANOVA; and (6) the slope in a
 simple Poisson regression.

Package: r-cran-powernlsem
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 881
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-crayon, r-cran-lavaan, r-cran-mvtnorm, r-cran-numderiv, r-cran-pbapply, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-mplusautomation, r-cran-rmarkdown, r-cran-semtools, r-cran-simsem
Filename: pool/dists/focal/main/r-cran-powernlsem_0.1.2-1.ca2004.1_all.deb
Size: 642524
MD5sum: b240993df7872acff75530e7b77ef97e
SHA1: 73442d0d25e8d933934f4267c65a1baa69615462
SHA256: 12ba2fbbbbad06f1f69f6aa1808c25eaa287b746e3639b3a9fd9dea5b104287d
SHA512: 219480c1951e449a6470db7f6adb587ba1678b6b82e1dae74d0e77ea5e8acbc1a713b6c925ac24507a9b9648a5565c3574a40a8384069555dcf02ae830e6cc0e
Homepage: https://cran.r-project.org/package=powerNLSEM
Description: CRAN Package 'powerNLSEM' (Simulation-Based Power Estimation (MSPE) for Nonlinear SEM)
 Model-implied simulation-based power estimation (MSPE) for nonlinear (and
 linear) SEM, path analysis and regression analysis. A theoretical framework
 is used to approximate the relation between power and sample size for given
 type I error rates and effect sizes.  The package offers an adaptive search
 algorithm to find the optimal N for given effect sizes and type I error
 rates. Plots can be used to visualize the power relation to N for different
 parameters of interest (POI).  Theoretical justifications are given in Irmer
 et al.  (2024a) <doi:10.31219/osf.io/pe5bj> and detailed description are
 given in Irmer et al. (2024b) <doi:10.3758/s13428-024-02476-3>.

Package: r-cran-powernormal
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powernormal_1.2.0-1.ca2004.1_all.deb
Size: 34292
MD5sum: 5e3f6e0344ed48f16511cdf12b119c58
SHA1: 10ef962a001e6b642d2caa8e6bd266845155043f
SHA256: d3cb3948cea18ebf45485039efa001db1922fcdba81e9c66fcb6b019732331dc
SHA512: e25c6930194369711f4a85bb53cb0bf8f83b74dab79a01ee8adea948dd19ce751bcce4e4f77c781872ffbc7832fef470da7f774311307b53da68b95f98a3983f
Homepage: https://cran.r-project.org/package=PowerNormal
Description: CRAN Package 'PowerNormal' (Power Normal Distribution)
 Miscellaneous functions for a descriptive analysis and initial Bayesian and
 classical inference for the power parameter of the the Power Normal (PN)
 distribution. This miscellaneous will be extend for more distributions into
 the power family and the three-parameter model.

Package: r-cran-powerpkg
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-powerpkg_1.6-1.ca2004.1_all.deb
Size: 53512
MD5sum: 94e7d85ffe0f5f1d3ae2b6288643c6c8
SHA1: 226ea75ccacf694d5e9d0cfec2d6bb4472dceaf3
SHA256: fb3c99bffe03800202a49e9e9e58a06bb0b1c8956b2518978422ee8a5873c1a9
SHA512: a9f2a72ec74241a8cfb987e745d83eb31278737d65db7b32437abd31a1cec28e2928dd2acd375477a537197db958a81200bccf5a8e8d4b9512580e4284caefe7
Homepage: https://cran.r-project.org/package=powerpkg
Description: CRAN Package 'powerpkg' (Power Analyses for the Affected Sib Pair and the TDT Design)
 There are two main functions: (1) To estimate the power of testing for
 linkage using an affected sib pair design, as a function of the recurrence
 risk ratios. We will use analytical power formulae as implemented in R.
 These are based on a Mathematica notebook created by Martin Farrall. (2) To
 examine how the power of the transmission disequilibrium test (TDT) depends
 on the disease allele frequency, the marker allele frequency, the strength
 of the linkage disequilibrium, and the magnitude of the genetic effect. We
 will use an R program that implements the power formulae of Abel and
 Muller-Myhsok (1998). These formulae allow one to quickly compute power of
 the TDT approach under a variety of different conditions. This R program was
 modeled on Martin Farrall's Mathematica notebook.

Package: r-cran-powerpls
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-compositions, r-cran-fksum, r-cran-nipals, r-cran-mass, r-cran-foreach, r-cran-simukde, r-cran-ks, r-cran-mvtnorm, r-cran-proc, r-cran-caret
Filename: pool/dists/focal/main/r-cran-powerpls_0.2.1-1.ca2004.1_all.deb
Size: 202268
MD5sum: 282d07f32210ca28c299a7714c2aa00f
SHA1: 0c81aab94161d6f0f9e5ae5680db33e2e22fceef
SHA256: de12c7d8c971f5b4b63c5e00f695d117b67120deaa7345db1b13a102139b03b4
SHA512: 586abd1ee49722495f41418c58cea9ab81d1eb95fc16a43d86bffc1af4e2709439e14a83bf7bc85138c8432d8f73f3c80de42c8d7bc7251a30c3d608ced8be49
Homepage: https://cran.r-project.org/package=powerPLS
Description: CRAN Package 'powerPLS' (Power Analysis for PLS Classification)
 It estimates power and sample size for Partial Least Squares-based methods
 described in Andreella, et al., (2024), <doi:10.48550/arXiv.2403.10289>.

Package: r-cran-powerplus
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-complexplus, r-cran-phontools, r-cran-matrix, r-cran-expm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-powerplus_3.1-1.ca2004.1_all.deb
Size: 21632
MD5sum: 8b814190cd61ff16feb9563f89f5f2fd
SHA1: 5ccba34e7cb85d517f763834e04e321c4bf7518f
SHA256: 4dd742344220d3bb39b3b33919683534c7265caf23f89c0dfb4f55f7de6a674f
SHA512: 5d6cda4a1316f99484af9dc7d1e9e5b17c890b759da1668433101032303998f0666eaefaac7237e508c6bb824a87813b74dd9fe5a504fa210a9157c6dce0f88f
Homepage: https://cran.r-project.org/package=powerplus
Description: CRAN Package 'powerplus' (Exponentiation Operations)
 Computation of matrix and scalar exponentiation.

Package: r-cran-powersdi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lmom, r-cran-lubridate, r-cran-nasapower
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-powersdi_1.0.0-1.ca2004.1_all.deb
Size: 480244
MD5sum: 0de705de6dc100fa52f03b9611d05de7
SHA1: c348d8a97c9e45c45334f2b3c752e04bcdfbbef4
SHA256: 84e16f0a160451e254f28b1f2ddbb317007e38a16ce3802eec81e37387fbc667
SHA512: 2d1b8d3fd1c2ab3170558dddbab56e87b2cbba5b5b8cfbf2e3eabc7096c2f9aadbf2250c4c1e4fee82e40dd428f6e81b474ca9520a0a0e26d12ca11b64667617
Homepage: https://cran.r-project.org/package=PowerSDI
Description: CRAN Package 'PowerSDI' (Calculate Standardised Drought Indices Using NASA POWER Data)
 A set of functions designed to calculate the standardised precipitation and
 standardised precipitation evapotranspiration indices using NASA POWER data
 as described in Blain et al. (2023) <doi:10.2139/ssrn.4442843>.  These
 indices are calculated using a reference data source.  The functions verify
 if the indices' estimates meet the assumption of normality and how well NASA
 POWER estimates represent real-world data.  Indices are calculated in a
 routine mode.  Potential evapotranspiration amounts and the difference
 between rainfall and potential evapotranspiration are also calculated.  The
 functions adopt a basic time scale that splits each month into four periods.
 Days 1 to 7, days 8 to 14, days 15 to 21, and days 22 to 28, 29, 30, or 31,
 where 'TS=4' corresponds to a 1-month length moving window (calculated 4
 times per month) and 'TS=48' corresponds to a 12-month length moving window
 (calculated 4 times per month).

Package: r-cran-powersurvepi
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-powersurvepi_0.1.5-1.ca2004.1_all.deb
Size: 202608
MD5sum: ee3b5bc2b165f597b33ccc1ac446691b
SHA1: d6f6f8583508829547220c89d7500834d22fa7a7
SHA256: 6f68adaab9796285b0fa308f9b45766b6d59129ec9f24e00ee605e1c4fcbf3d7
SHA512: 9c6dad0e6e0981889c0b60f05a0224e050e87eb5f5e4236cd85c65e92a217132b65cae538cfaa01f9a078cee0cfb67e41d1d2b91f817bfebb55a80ea63df9f31
Homepage: https://cran.r-project.org/package=powerSurvEpi
Description: CRAN Package 'powerSurvEpi' (Power and Sample Size Calculation for Survival Analysis ofEpidemiological Studies)
 Functions to calculate power and sample size for testing main effect or
 interaction effect in the survival analysis of epidemiological studies
 (non-randomized studies), taking into account the correlation between the
 covariate of the interest and other covariates. Some calculations also take
 into account the competing risks and stratified analysis.  This package also
 includes a set of functions to calculate power and sample size for testing
 main effect in the survival analysis of randomized clinical trials and
 conditional logistic regression for nested case-control study.

Package: r-cran-powertools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-powertost, r-cran-hmisc, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powertools_0.1.3-1.ca2004.1_all.deb
Size: 334736
MD5sum: 044066dddc4124d6c533a813dcc28e60
SHA1: 9090a033db6f73ce8cedc7d0467bb31c45ac0bf2
SHA256: a87297ac7458dce03a559bb665840ebdd13a9158e3d7c5e7f43bf6f49a34b304
SHA512: 643c9564a6cd5b838af808b030ca9b3e77e584adfa9bda966554851a3d4608d79135882f5118ad0ff5ab9983aeccc1b5b6947e1a12e0d2551cbd6dca456a1517
Homepage: https://cran.r-project.org/package=powertools
Description: CRAN Package 'powertools' (Power and Sample Size Tools)
 Power and sample size calculations for a variety of study designs and
 outcomes. Methods include t tests, ANOVA (including tests for interactions,
 simple effects and contrasts), proportions, categorical data (chi-square
 tests and proportional odds), linear, logistic and Poisson regression,
 alternative and coprimary endpoints, power for confidence intervals,
 correlation coefficient tests, cluster randomized trials, individually
 randomized group treatment trials, multisite trials, treatment-by-covariate
 interaction effects and nonparametric tests of location. Utilities are
 provided for computing various effect sizes. Companion package to the book
 "Power and Sample Size in R", Crespi (2025, ISBN:9781138591622).  Further
 resources available at <https://powerandsamplesize.org/>.

Package: r-cran-powertost
Architecture: all
Version: 1.5-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2341
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-cubature
Suggests: r-cran-crossdes, r-cran-knitr, r-cran-rmarkdown, r-cran-tufte, r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-powertost_1.5-6-1.ca2004.1_all.deb
Size: 1654680
MD5sum: b0688fd24c449c381490efe584dd72a3
SHA1: 9c24f3f27ec6e96d6e49fabe2c29cf8b65c2feb8
SHA256: fcc3866ba2a734a49b6b3964405908e462681bf885d54a780f66bcc112716ddf
SHA512: 9e594ac5ed549bae5464e5e183697a44f8bac6ad0674668437d510bb43a42f899fe49ac22eee72e51d0898fb6606172bb0e63d72d688bcdec70f906d36e5771b
Homepage: https://cran.r-project.org/package=PowerTOST
Description: CRAN Package 'PowerTOST' (Power and Sample Size for (Bio)Equivalence Studies)
 Contains functions to calculate power and sample size for various study
 designs used in bioequivalence studies. Use known.designs() to see the
 designs supported. Power and sample size can be obtained based on different
 methods, amongst them prominently the TOST procedure (two one-sided
 t-tests). See README and NEWS for further information.

Package: r-cran-powerupr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-powerupr_1.1.0-1.ca2004.1_all.deb
Size: 413780
MD5sum: d7ce3018586d0e7be5f47fc1b92bf47c
SHA1: a812e7dba3a38d8a27143ccbb6b267f414f5e3ea
SHA256: caf72e7d457ec2e1994f364033f6a4e7564f6233abdff1ac7bcba606c51c250c
SHA512: ae79facc6b3e2200876696d2aa4d2d16956c079f85e031bd6aea026ab33ae778b5b43b2a65aa216bbf4f5151c19364c1e33ab81b138039a175955e044618e804
Homepage: https://cran.r-project.org/package=PowerUpR
Description: CRAN Package 'PowerUpR' (Power Analysis Tools for Multilevel Randomized Experiments)
 Includes tools to calculate statistical power, minimum detectable effect
 size (MDES), MDES difference (MDESD), and minimum required sample size for
 various multilevel randomized experiments (MRE) with continuous outcomes.
 Accomodates 14 types of MRE designs to detect main treatment effect, seven
 types of MRE designs to detect moderated treatment effect (2-1-1, 2-1-2,
 2-2-1, 2-2-2, 3-3-1, 3-3-2, and 3-3-3 designs; <total.lev> - <trt.lev> -
 <mod.lev>), five types of MRE designs to detect mediated treatment effects
 (2-1-1, 2-2-1, 3-1-1, 3-2-1, and 3-3-1 designs; <trt.lev> - <med.lev> -
 <out.lev>), four types of partially nested (PN) design to detect main
 treatment effect, and three types of PN designs to detect mediated treatment
 effects (2/1, 3/1, 3/2; <trt.arm.lev> / <ctrl.arm.lev>).  See 'PowerUp!'
 Excel series at <https://www.causalevaluation.org/>.

Package: r-cran-powriclpm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-future.apply, r-cran-lavaan, r-cran-lifecycle, r-cran-progressr, r-cran-rlang, r-cran-ggplot2, r-cran-future
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-powriclpm_0.2.1-1.ca2004.1_all.deb
Size: 236888
MD5sum: a68b4afa6faa93f3cc0524af3a2b79c6
SHA1: f450c292abbfcde92ca4687f769ba5a1e46b6274
SHA256: eb95ee419bba3f1ca8a00f028e99a69b6ba39d8c354c7377d43a9e5272ef8266
SHA512: d0f92963601f1bcb2d6c9a5f39b72db232644bc3ce4e9a6dc5c61329262e6b8d8828fab40225c578274754cdafbdda9784df9ef7e5acb5999890d5663b4c0e39
Homepage: https://cran.r-project.org/package=powRICLPM
Description: CRAN Package 'powRICLPM' (Perform Power Analysis for the RI-CLPM and STARTS Model)
 Perform user-friendly power analyses for the random intercept cross-lagged
 panel model (RI-CLPM) and the bivariate stable trait autoregressive trait
 state (STARTS) model. The strategy as proposed by Mulder (2023)
 <doi:10.1080/10705511.2022.2122467> is implemented. Extensions include the
 use of parameter constraints over time, bounded estimation, generation of
 data with skewness and kurtosis, and the option to setup the power analysis
 for Mplus.

Package: r-cran-ppbigdata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-datanugget, r-cran-mass, r-cran-dplyr, r-cran-magrittr, r-cran-weights, r-cran-rstiefel, r-cran-gtools, r-cran-tourr, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-ppbigdata_1.0.0-1.ca2004.1_all.deb
Size: 137364
MD5sum: 44e7f106681c08cde3e17bdb7c0251fb
SHA1: 502ecd1fded36fe697f9959dc8fd854c57bf92c2
SHA256: 14199646955129ee511fec1499c3af91fc0f2dd4456d402d2e99287fd0272301
SHA512: 21ea72dbd785d56cda8c811dd2dcb396641fd3dbc6d65e2f21763e5d773966bf70ca0bd8f51cf24b3c05fd7fd0b092b8faadb24c32927bc88e945edd49e1a93c
Homepage: https://cran.r-project.org/package=PPbigdata
Description: CRAN Package 'PPbigdata' (Projection Pursuit for Big Data Based on Data Nuggets)
 Perform 1-dim/2-dim projection pursuit, grand tour and guided tour for big
 data based on data nuggets.  Reference papers: [1] Beavers et al., (2024)
 <doi:10.1080/10618600.2024.2341896>.  [2] Duan, Y., Cabrera, J., & Emir, B.
 (2023). "A New Projection Pursuit Index for Big Data."
 <doi:10.48550/arXiv.2312.06465>.

Package: r-cran-ppcdt
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ppcdt_0.2.0-1.ca2004.1_all.deb
Size: 18436
MD5sum: 49832f834e0c95cf932829a9ab1db25f
SHA1: 07ef07d0efc9095ec23f12f695f090ec87e314d8
SHA256: 0398a35e742c4eaa43a0d60a1137c4111c63bf9a901787977d0154155f87177b
SHA512: f99e32cb6fa0be46624f74d3efb2dc9bcf1dda25113538fe5e189291cdca89a553cf93228f4bdcfb311c1205d1c2ffd017757ff350fcd1b8629e42fba04f7cf0
Homepage: https://cran.r-project.org/package=PPCDT
Description: CRAN Package 'PPCDT' (An Optimal Subset Selection for Distributed Hypothesis Testing)
 In the era of big data, data redundancy and distributed characteristics
 present novel challenges to data analysis. This package introduces a method
 for estimating optimal subsets of redundant distributed data, based on PPCDT
 (Conjunction of Power and P-value in Distributed Settings). Leveraging PPC
 technology, this approach can efficiently extract valuable information from
 redundant distributed data and determine the optimal subset. Experimental
 results demonstrate that this method not only enhances data quality and
 utilization efficiency but also assesses its performance effectively. The
 philosophy of the package is described in Guo G. (2020)
 <doi:10.1007/s00180-020-00974-4>.

Package: r-cran-ppci
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2553
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rarpack
Filename: pool/dists/focal/main/r-cran-ppci_0.1.5-1.ca2004.1_all.deb
Size: 2480780
MD5sum: ae30a733f1e051a1129406d0a646bcc7
SHA1: 79148cdf22e76094cff98fc1a353307007880806
SHA256: 59ade7c00c7c0aa4e9830daecf1d5d44c2f5d5129e3ea3f956c0fba36bdd3c14
SHA512: f62b21f79a1418348463e1fd3f72bb224dbf686ea9b9f116c96e6b2b68c69447e0aa6d24caa4943209c7731cb3a9f8f07ff04602bdbd81683242295f4bfaa7e0
Homepage: https://cran.r-project.org/package=PPCI
Description: CRAN Package 'PPCI' (Projection Pursuit for Cluster Identification)
 Implements recently developed projection pursuit algorithms for finding
 optimal linear cluster separators. The clustering algorithms use optimal
 hyperplane separators based on minimum density, Pavlidis et. al (2016)
 <http://jmlr.org/papers/volume17/15-307/15-307.pdf>; minimum normalised cut,
 Hofmeyr (2017) <doi:10.1109/TPAMI.2016.2609929>; and maximum variance ratio
 clusterability, Hofmeyr and Pavlidis (2015) <doi:10.1109/SSCI.2015.116>.

Package: r-cran-ppclust
Architecture: all
Version: 1.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6750
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-inaparc, r-cran-mass
Suggests: r-cran-cluster, r-cran-factoextra, r-cran-fclust, r-cran-knitr, r-cran-rmarkdown, r-cran-vegclust
Filename: pool/dists/focal/main/r-cran-ppclust_1.1.0.1-1.ca2004.1_all.deb
Size: 3387944
MD5sum: a5160554d239b272f373b0a4adb61fbe
SHA1: 26260a22d86c04e070732c8dea91e20480092900
SHA256: dedf7157e2a69b58bc9070e39575f05bac1907c71bee61d8bb81ae356727374a
SHA512: b84a8c9f3aa55aa718c10dba035be670864c2e01d6e6e5ca348f592ce97ce370eb1c5c870b7dcf776e59207d8cee72d6e839de9c5d706149fe12a64c0c71edc9
Homepage: https://cran.r-project.org/package=ppclust
Description: CRAN Package 'ppclust' (Probabilistic and Possibilistic Cluster Analysis)
 Partitioning clustering divides the objects in a data set into
 non-overlapping subsets or clusters by using the prototype-based
 probabilistic and possibilistic clustering algorithms. This package covers a
 set of the functions for Fuzzy C-Means (Bezdek, 1974)
 <doi:10.1080/01969727308546047>, Possibilistic C-Means (Krishnapuram &
 Keller, 1993) <doi:10.1109/91.227387>, Possibilistic Fuzzy C-Means (Pal et
 al, 2005) <doi:10.1109/TFUZZ.2004.840099>, Possibilistic Clustering
 Algorithm (Yang et al, 2006) <doi:10.1016/j.patcog.2005.07.005>,
 Possibilistic C-Means with Repulsion (Wachs et al, 2006)
 <doi:10.1007/3-540-31662-0_6> and the other variants of hard and soft
 clustering algorithms. The cluster prototypes and membership matrices
 required by these partitioning algorithms are initialized with different
 initialization techniques that are available in the package 'inaparc'. As
 the distance metrics, not only the Euclidean distance but also a set of the
 commonly used distance metrics are available to use with some of the
 algorithms in the package.

Package: r-cran-ppcong
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-tfse, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ppcong_0.0.2-1.ca2004.1_all.deb
Size: 127284
MD5sum: f363b3436c7f1a97a0d67a618d63ba05
SHA1: 7009f27586952d2a682eafdf529b37d731c8da5e
SHA256: 181f0233d759893dfbef86f28b86bd89d840f892c85991106adfc4d93c7c7327
SHA512: d063fe385b3a65ce8f8b6ce3ba12b50a8e0cd574cca58a82a683d69b2f81909270038c92405308d9956f1ab66ae32cb1a4cb3645e16afd1235949d572973724f
Homepage: https://cran.r-project.org/package=ppcong
Description: CRAN Package 'ppcong' (Interfacing with ProPublica's 'Congress' API)
 A simple interface for interacting with ProPublica's 'Congress' API, which
 provides data about current and former members of both chambers of the U.S.
 Congress and can be found at the following URL:
 <https://projects.propublica.org/api-docs/congress-api/>.

Package: r-cran-ppcor
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ppcor_1.1-1.ca2004.1_all.deb
Size: 28444
MD5sum: d286fdb90bc3d42bb7f0c3b1b9a68e0c
SHA1: fe17e87428a4fba755c09885fe8a87d77fc0bf89
SHA256: 4e827893805bcd70709c4ed7f521497ed2822f98fc1f422e986d307825c64484
SHA512: 9027f30b91da5c1ce435df7716e1d76badae14eb389dd3a5e4d5f20e0aa9506b3d4b714cba9edb4c7d57149ef2729ea39372bc5fa4d92aacae3aacc7a97dc29a
Homepage: https://cran.r-project.org/package=ppcor
Description: CRAN Package 'ppcor' (Partial and Semi-Partial (Part) Correlation)
 Calculates partial and semi-partial (part) correlations along with p-value.

Package: r-cran-ppcspatial
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1849
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-htmltools, r-cran-htmlwidgets, r-cran-leaflet, r-cran-magrittr, r-cran-pakpc2017, r-cran-scales, r-cran-shiny, r-cran-tidyr, r-cran-tmap
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ppcspatial_0.3.0-1.ca2004.1_all.deb
Size: 1835496
MD5sum: 31f2edd0641f7ee293578fd728aaf2ce
SHA1: d376dde01652a44acfc8aa65684bd6a3b46369e2
SHA256: 0068b8ceb02ddb46deb34b9e6bc9dc0e7fb68d1584814c74ce58ef46b7fe9716
SHA512: 2386dca297dbac03ed8a27a0d27f05e73e2ba18af51bdecad83abc2f6fdf1d29aae5b8b69e7c9aa695b94d3538de855d5eadafb9b6d47303c8ffda21ce640a00
Homepage: https://cran.r-project.org/package=ppcSpatial
Description: CRAN Package 'ppcSpatial' (Spatial Analysis of Pakistan Population Census)
 Spatial Analysis for exploration of Pakistan Population Census 2017
 (<https://www.pbs.gov.pk/content/population-census>). It uses data from R
 package 'PakPC2017'.

Package: r-cran-ppdiag
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ppdiag_0.1.1-1.ca2004.1_all.deb
Size: 262976
MD5sum: e8a824fed91649b405f7c90b2b8432c4
SHA1: 88bc5e8ab7136772c28bc6275c979070b862c291
SHA256: 34189117cd257fee7f9310e3141a7236c348ed9e06cdba960951e658851c1af1
SHA512: f8694f4a9ababe36d0435c8cb414f6330b9a6f32292bf1ff6a31dd646f5f8c84898c86aa96d179bdd5e0260ec1e25bd2811bc15ef9f8de181277acc6288e552f
Homepage: https://cran.r-project.org/package=ppdiag
Description: CRAN Package 'ppdiag' (Diagnosis and Visualizations Tools for Temporal Point Processes)
 A suite of diagnostic tools for univariate point processes.  This includes
 tools for simulating and fitting both common and more complex temporal point
 processes. We also include functions to visualise these point processes and
 collect existing diagnostic tools of Brown et al. (2002)
 <doi:10.1162/08997660252741149> and Wu et al. (2021)
 <doi:10.1002/9781119821588.ch7>, which can be used to assess the fit of a
 chosen point process model.

Package: r-cran-ppendemic
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3196
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-memoise, r-cran-progress, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ppendemic_0.1.9-1.ca2004.1_all.deb
Size: 3052508
MD5sum: ad72e952c445459bafff45c0b19932b1
SHA1: 98b7a9161bb0cbc3c12228b981bafd11a7585ec4
SHA256: a2c346cb9922ca51fe894e0921bfcecee46e831fb7f543d40759e03dc57aea4a
SHA512: acf56828986906d30983451ed40a516132728ae3f1eac4c56567a061c700e9ddaf17e23d00f56e822fae55b564ed7bd92955d177d146430517d1b24aed503dea
Homepage: https://cran.r-project.org/package=ppendemic
Description: CRAN Package 'ppendemic' (A Glimpse at the Diversity of Peru's Endemic Plants)
 Introducing a novel and updated database showcasing Peru's endemic plants.
 This meticulously compiled and revised botanical collection encompasses a
 remarkable assemblage of over 7,898 distinct species. The data for this
 resource was sourced from the work of Govaerts, R., Nic Lughadha, E., Black,
 N. et al., titled 'The World Checklist of Vascular Plants: A continuously
 updated resource for exploring global plant diversity', published in Sci
 Data 8, 215 (2021) <doi:10.1038/s41597-021-00997-6>.

Package: r-cran-ppgam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-mgcv, r-cran-evgam
Filename: pool/dists/focal/main/r-cran-ppgam_1.0.2-1.ca2004.1_all.deb
Size: 129612
MD5sum: 7eb0e77a1de7c466331a14b384953396
SHA1: 62511aa9f7f5f5be7df7ed6593f03d2f54c5ad3c
SHA256: 4ea83867c72a846c6de489db7896072183075c5b05e23ed6f8160d63b151b66c
SHA512: 10d121dadd005eb4a3db71e2cc18c732fd4896c1ad070265ee551b75e6bd04e6bc58d196f09d1294accee36e0b4c0cf7b5b9d1af05b851a6cefd648cbcfd805a
Homepage: https://cran.r-project.org/package=ppgam
Description: CRAN Package 'ppgam' (Generalised Additive Point Process Models)
 Methods for fitting point processes with parameters of generalised additive
 model (GAM) form are provided. For an introduction to point processes see
 Cox, D.R & Isham, V. (Point Processes, 1980, CRC Press), GAMs see Wood, S.N.
 (2017) <doi:10.1201/9781315370279>, and the fitting approach see Wood, S.N.,
 Pya, N. & Safken, B. (2016) <doi:10.1080/01621459.2016.1180986>.

Package: r-cran-ppgm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp, r-cran-sf, r-cran-ape, r-cran-fields, r-cran-geiger, r-cran-gifski, r-cran-phangorn, r-cran-phytools, r-cran-stringi, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ppgm_1.1-1.ca2004.1_all.deb
Size: 3616084
MD5sum: 4085a0abe52df97a580bd3224c5e4b86
SHA1: a9b79e1bf85d4af9e5e1adff3f5e5003cde60f73
SHA256: 63db8953854b3aec69e04ebe05d95b4debb5b29255da8792689c45a271399a13
SHA512: 1f5fa5e2f365586b9b7bf90a0c1706fc441f1ee281226ec083ab988d7a135196c784ba9d524c3db9822edd325b6211bc352f46d6b1d6c52da3057ac82a44e537
Homepage: https://cran.r-project.org/package=ppgm
Description: CRAN Package 'ppgm' (PaleoPhyloGeographic Modeling of Climate Niches and SpeciesDistributions)
 Reconstruction of paleoclimate niches using phylogenetic comparative methods
 and projection reconstructed niches onto paleoclimate maps.  The user can
 specify various models of trait evolution or estimate the best fit model,
 include fossils, use one or multiple phylogenies for inference, and make
 animations of shifting suitable habitat through time. This model was first
 used in Lawing and Polly (2011), and further implemented in Lawing et al
 (2016) and Rivera et al (2020).  Lawing and Polly (2011)
 <doi:10.1371/journal.pone.0028554> "Pleistocene climate, phylogeny and
 climate envelope models: An integrative approach to better understand
 species' response to climate change" Lawing et al (2016)
 <doi:10.1086/687202> "Including fossils in phylogenetic climate
 reconstructions: A deep time perspective on the climatic niche evolution and
 diversification of spiny lizards (Sceloporus)" Rivera et al (2020)
 <doi:10.1111/jbi.13915> "Reconstructing historical shifts in suitable
 habitat of Sceloporus lineages using phylogenetic niche modelling.".

Package: r-cran-ppitables
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr, r-cran-spelling, r-cran-stringr, r-cran-readxl, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ppitables_0.6.0-1.ca2004.1_all.deb
Size: 3132996
MD5sum: edcad8a67e93e2f1926fe950370780bb
SHA1: 51ae86f575a51c187fbb0950e59dfe9db1423771
SHA256: add39431221f8870bc155c46873dea0316a5f697f6c2dcc979cc2e8e2b96c437
SHA512: 9d9311a206e6c90ebe8e54975d6b6f02e6f58a61fc484ce612cbd7ea713a2305d97e6ba47440ef90bbcc6216cd931cff6aab3147da8f45af2503c03de0836442
Homepage: https://cran.r-project.org/package=ppitables
Description: CRAN Package 'ppitables' (Lookup Tables to Generate Poverty Likelihoods and Rates usingthe Poverty Probability Index (PPI))
 The Poverty Probability Index (PPI) is a poverty measurement tool for
 organizations and businesses with a mission to serve the poor. The PPI is
 statistically-sound, yet simple to use: the answers to 10 questions about a
 household's characteristics and asset ownership are scored to compute the
 likelihood that the household is living below the poverty line - or above by
 only a narrow margin. This package contains country-specific lookup data
 tables used as reference to determine the poverty likelihood of a household
 based on their score from the country-specific PPI questionnaire. These
 lookup tables have been extracted from documentation of the PPI found at
 <https://www.povertyindex.org> and managed by Innovations for Poverty Action
 <https://poverty-action.org/>.

Package: r-cran-pplasso
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 363
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-genlasso, r-cran-ggplot2, r-cran-cvcovest, r-cran-glmnet, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pplasso_2.0-1.ca2004.1_all.deb
Size: 321164
MD5sum: d5553fb9b862ce9b86036a129ec56b7c
SHA1: d3230e71c57eb108f1e2840688981d677f08ef81
SHA256: b94d25bb04637bd6ea1cecfd3f6361c0e3ba6fb442713fc2142a96f3ae45cacd
SHA512: 044be7c2b64326d2fdb2d584cf6139a9e44a1497d1f05f62332ff38474b1bce85173dcfac0eab83073e4dd239c8643c222409b1dc3c047aff6ca8c590d23031d
Homepage: https://cran.r-project.org/package=PPLasso
Description: CRAN Package 'PPLasso' (Prognostic Predictive Lasso for Biomarker Selection)
 We provide new tools for the identification of prognostic and predictive
 biomarkers. For further details we refer the reader to the paper: Zhu et al.
 Identification of prognostic and predictive biomarkers in high-dimensional
 data with PPLasso. BMC Bioinformatics. 2023 Jan 23;24(1):25.

Package: r-cran-pplot
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mbess
Filename: pool/dists/focal/main/r-cran-pplot_0.9-1.ca2004.1_all.deb
Size: 26632
MD5sum: 7a52b092d849df01c6825a1ae2d6ea1a
SHA1: 22b00cb1ed9ad39220cf9b63dbf8fdbe78ece256
SHA256: c9c3fb0a2e0b6816301fe102ada07c8ce59cf06987eca44504a1459a55166f70
SHA512: dc02fb7759b7cb21651a6ea4967b4d4f0e250ead3cd3f91971bf8643f179a7fee8eb53703c1c20ace950f800b75dd8ec5d0ae7d2aae000b5ff488c0c1e8b13f3
Homepage: https://cran.r-project.org/package=pplot
Description: CRAN Package 'pplot' (Chronological and Ordered p-Plots for Empirical Data)
 Generates chronological and ordered p-plots for data vectors or vectors of
 p-values. The p-plot visualizes the evolution of the p-value of a
 significance test across the sampled data. It allows for assessing the
 consistency of the observed effects, for detecting the presence of potential
 moderator variables, and for estimating the influence of outlier values on
 the observed results. For non-significant findings, it can diagnose patterns
 indicative of underpowered study designs. The p-plot can thus either back
 the binary accept-vs-reject decision of common null-hypothesis significance
 tests, or it can qualify this decision and stimulate additional empirical
 work to arrive at more robust and replicable statistical inferences.

Package: r-cran-ppmf
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-censable, r-cran-dplyr, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-zip
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ppmf_0.1.3-1.ca2004.1_all.deb
Size: 79324
MD5sum: a97cd377fafc9fe6cd106640e323834e
SHA1: dd0d8edfe57c68955859a3abb74d4e1f797c99d7
SHA256: ad18019560d5dbe53187dfee633e47557c08dd81df1d2008a7b0f2ffb197f1d0
SHA512: 47a123f4c4082bef63b57bcbf5a8837f4050d9f1b4a02371b1b0b6cebf79c545386d56639db5b71ae24a03cca1884ea0cbf98b05a196cf9f599c1e70b01aafcd
Homepage: https://cran.r-project.org/package=ppmf
Description: CRAN Package 'ppmf' (Read Census Privacy Protected Microdata Files)
 Implements data processing described in <doi:10.1126/sciadv.abk3283> to
 align modern differentially private data with formatting of older US Census
 data releases. The primary goal is to read in Census Privacy Protected
 Microdata Files data in a reproducible way. This includes tools for
 aggregating to relevant levels of geography by creating geographic
 identifiers which match the US Census Bureau's numbering. Additionally,
 there are tools for grouping race numeric identifiers into categories,
 consistent with OMB (Office of Management and Budget) classifications.
 Functions exist for downloading and linking to existing sources of privacy
 protected microdata.

Package: r-cran-ppmhr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-ppmhr_1.0-1.ca2004.1_all.deb
Size: 147208
MD5sum: 70706d81b15cba5be74181e71ee5cbd7
SHA1: 95606f35296c778aff715477d444000546165496
SHA256: 25be58d3397c6ba4f8d5a89c509a9aefcf1cfb4790d78c9a04f9a85ab75d3bd4
SHA512: 3882ff30d76871facb071d43cc4397915824bf09441dd91faa86b3b72a94a50b596fd9d0c38ab7ab9c79270c57f04e7fb316643e50efcfeeb623b3375e4154a1
Homepage: https://cran.r-project.org/package=ppmHR
Description: CRAN Package 'ppmHR' (Privacy-Protecting Hazard Ratio Estimation in Distributed DataNetworks)
 An implementation of the one-step privacy-protecting method for estimating
 the overall and site-specific hazard ratios using inverse probability
 weighted Cox models in distributed data network studies, as proposed by Shu,
 Yoshida, Fireman, and Toh (2019) <doi: 10.1177/0962280219869742>. This
 method only requires sharing of summary-level riskset tables instead of
 individual-level data. Both the conventional inverse probability weights and
 the stabilized weights are implemented.

Package: r-cran-ppmlasso
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spatstat, r-cran-data.table, r-cran-lattice, r-cran-plyr, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-ppmlasso_1.4-1.ca2004.1_all.deb
Size: 511388
MD5sum: 7045a246fa17e9642037fa00bc3f8dbc
SHA1: a1731461f0cf4d2d5557331850125184a3c2df48
SHA256: 86cc3f32ece6973cb8b702fe1440bb8a7446ddd7e982ece9ab175d69a9510a8b
SHA512: 30e35c777619c903f445cb4c8a460b715420892f032dffc644fa2f880e74bc850c0b27451d746b1a28220346552f19219cbbbae865350dcfc68be96cbb47551e
Homepage: https://cran.r-project.org/package=ppmlasso
Description: CRAN Package 'ppmlasso' (Point Process Models with LASSO-Type Penalties)
 Toolkit for fitting point process models with sequences of LASSO penalties
 ("regularisation paths"), as described in Renner, I.W. and Warton, D.I.
 (2013) <doi:10.1111/j.1541-0420.2012.01824.x>. Regularisation paths of
 Poisson point process models or area-interaction models can be fitted with
 LASSO, adaptive LASSO or elastic net penalties. A number of criteria are
 available to judge the bias-variance tradeoff.

Package: r-cran-ppqplan
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12354
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-ppqplan_1.1.0-1.ca2004.1_all.deb
Size: 1927460
MD5sum: fa46e3503ad07f0f32e401f723e4901e
SHA1: a395a59ad10fd4625854d955e49d3cdba2e1b1b1
SHA256: 7309e498158fc7647d86d729db7b3d70b515975b9887c8cf27e114a64b580634
SHA512: a3621fd2eefeba8447c86eec15cb011e40c02f69d456c9819011610501383176b1ac90d54fa28808c9bd071df7eb17897b926ddeca59fea75751455e6c7179c8
Homepage: https://cran.r-project.org/package=PPQplan
Description: CRAN Package 'PPQplan' (Process Performance Qualification (PPQ) Plans in Chemistry,Manufacturing and Controls (CMC) Statistical Analysis)
 Assessment for statistically-based PPQ sampling plan, including calculating
 the passing probability, optimizing the baseline and high performance cutoff
 points, visualizing the PPQ plan and power dynamically. The analytical idea
 is based on the simulation methods from the textbook Burdick, R. K.,
 LeBlond, D. J., Pfahler, L. B., Quiroz, J., Sidor, L., Vukovinsky, K., &
 Zhang, L. (2017). Statistical Methods for CMC Applications. In Statistical
 Applications for Chemistry, Manufacturing and Controls (CMC) in the
 Pharmaceutical Industry (pp. 227-250). Springer, Cham.

Package: r-cran-pprank
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pprank_0.1.1-1.ca2004.1_all.deb
Size: 17052
MD5sum: 6be860539ab8abe862a74e74b86cca9c
SHA1: f59d214e9e9301a4d7a625560b26abe4135b91b8
SHA256: a9773272ea69049e1f09b3582c6fe91532ea3e31d10e13f1f397a8d682f8d193
SHA512: a1b067265c830b2cb12a4c165ff10774ade76ab096676218433307806e13a0678cb4edd3f4d5ccf1d18d48922ad2cfc590b24bdc600903a91c2e67e5088c7533
Homepage: https://cran.r-project.org/package=ppRank
Description: CRAN Package 'ppRank' (Classification of Algorithms)
 Implements the Bi-objective Lexicographical Classification method and
 Performance Assessment Ratio at 10% metric for algorithm classification.
 Constructs matrices representing algorithm performance under multiple
 criteria, facilitating decision-making in algorithm selection and
 evaluation. Analyzes and compares algorithm performance based on various
 metrics to identify the most suitable algorithms for specific tasks. This
 package includes methods for algorithm classification and evaluation, with
 examples provided in the documentation. Carvalho (2019) presents a
 statistical evaluation of algorithmic computational experimentation with
 infeasible solutions <doi:10.48550/arXiv.1902.00101>. Moreira and Carvalho
 (2023) analyze power in preprocessing methodologies for datasets with
 missing values <doi:10.1080/03610918.2023.2234683>.

Package: r-cran-pprep
Architecture: all
Version: 0.42.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hypergeo
Suggests: r-cran-roxygen2, r-cran-tinytest, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-pprep_0.42.3-1.ca2004.1_all.deb
Size: 66836
MD5sum: 5ea47e520a856f2a2ee32d54db760c30
SHA1: 2db36d8115817b18e602aed2d21392b24c091885
SHA256: 0267bf42357121688b1bb0e3be4007ca2004276576e403652dd82c9c759f0c95
SHA512: 7e20e742911910f4ef26d8360900f885e75bc31d0f4d68d04a2817b86991cf0615cf4090e49be26bf77426e7bc0b8e0fe96a60823e8dfa4edad7a58bc35a0c03
Homepage: https://cran.r-project.org/package=ppRep
Description: CRAN Package 'ppRep' (Analysis of Replication Studies using Power Priors)
 Provides functionality for Bayesian analysis of replication studies using
 power prior approaches (Pawel et al., 2023)
 <doi:10.1007/s11749-023-00888-5>.

Package: r-cran-pps
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pps_1.0-1.ca2004.1_all.deb
Size: 202656
MD5sum: 3c5348b9130c459f246eb25d10260a32
SHA1: 2ef7b714708571306bd31661ca3790c8351426bc
SHA256: b807286115ad3ef5eb196823c592cebeb68c86267e71776fabee0d183d9cbf3d
SHA512: 85d56b6e5e99442a8ea18c29bedaeff4dc858a49b64f020b86d7d5eaf6070b31792eb40955a9086ca5a3b0994a7f8fb16923335f7bf02763c5f97befc60e037f
Homepage: https://cran.r-project.org/package=pps
Description: CRAN Package 'pps' (PPS Sampling)
 Functions to select samples using PPS (probability proportional to size)
 sampling. The package also includes a function for stratified simple random
 sampling, a function to compute joint inclusion probabilities for Sampford's
 method of PPS sampling, and a few utility functions. The user's guide
 pps-ug.pdf is included in the .../pps/doc directory. The methods are
 described in standard survey sampling theory books such as Cochran's
 "Sampling Techniques"; see the user's guide for references.

Package: r-cran-ppsbm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast, r-cran-clue, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-ppsbm_1.0.0-1.ca2004.1_all.deb
Size: 200812
MD5sum: 1d4e240175a8282588dc93e0c63983ee
SHA1: 91f3288c8e2b3a694a0a8ea7dc95b0e26f1d7723
SHA256: 938e871d3b29e0e1f5ca18546528cdaf45da1cf507bbc8525a82e596edde9f55
SHA512: 28af4f5adab9ba21db9404522efea302dac16f0455c5611ad561c917600a64c4b06183917ac7b1193d3d97c69046c61f4407a2670b705b094cb75b0962cfc83d
Homepage: https://cran.r-project.org/package=ppsbm
Description: CRAN Package 'ppsbm' (Clustering in Longitudinal Networks)
 Stochastic block model used for dynamic graphs represented by Poisson
 processes.  To model recurrent interaction events in continuous time, an
 extension of the stochastic block model is proposed where every individual
 belongs to a latent group and interactions between two individuals follow a
 conditional inhomogeneous Poisson process with intensity driven by the
 individuals’ latent groups. The model is shown to be identifiable and its
 estimation is based on a semiparametric variational expectation-maximization
 algorithm. Two versions of the method are developed, using either a
 nonparametric histogram approach (with an adaptive choice of the partition
 size) or kernel intensity estimators. The number of latent groups can be
 selected by an integrated classification likelihood criterion.  Y. Baraud
 and L. Birgé (2009). <doi:10.1007/s00440-007-0126-6>.  C. Biernacki, G.
 Celeux and G. Govaert (2000). <doi:10.1109/34.865189>.  M. Corneli, P.
 Latouche and F. Rossi (2016). <doi:10.1016/j.neucom.2016.02.031>.  J.-J.
 Daudin, F. Picard and S. Robin (2008). <doi:10.1007/s11222-007-9046-7>.  A.
 P. Dempster, N. M. Laird and D. B. Rubin (1977).
 <http://www.jstor.org/stable/2984875>.  G. Grégoire (1993).
 <http://www.jstor.org/stable/4616289>.  L. Hubert and P. Arabie (1985).
 <doi:10.1007/BF01908075>.  M. Jordan, Z. Ghahramani, T. Jaakkola and L. Saul
 (1999). <doi:10.1023/A:1007665907178>.  C. Matias, T. Rebafka and F. Villers
 (2018). <doi:10.1093/biomet/asy016>.  C. Matias and S. Robin (2014).
 <doi:10.1051/proc/201447004>.  H. Ramlau-Hansen (1983).
 <doi:10.1214/aos/1176346152>.  P. Reynaud-Bouret (2006).
 <doi:10.3150/bj/1155735930>.

Package: r-cran-ppseq
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-ggplot2, r-cran-plotly, r-cran-purrr, r-cran-tibble, r-cran-patchwork, r-cran-tidyr
Suggests: r-cran-covr, r-cran-gt, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ppseq_0.2.5-1.ca2004.1_all.deb
Size: 1363380
MD5sum: ce0f0592070d1a7a6c98a053314f56c9
SHA1: 5f83765af9135d538f6241f309eaf52f4793c44c
SHA256: 121593ee7e4df700951ea0ab88c983fccbc9a0816b8ddb399f450295fb9ea14c
SHA512: 0d27d9ba0531d663b9686fda8924742329e9932474c120546bb8d21708adfabe7611203498f4f822d08d7c249142fbff262c4ef6a5c1d3ecb1389efecdd56a5d
Homepage: https://cran.r-project.org/package=ppseq
Description: CRAN Package 'ppseq' (Design Clinical Trials using Sequential Predictive ProbabilityMonitoring)
 Functions are available to calibrate designs over a range of posterior and
 predictive thresholds, to plot the various design options, and to obtain the
 operating characteristics of optimal accuracy and optimal efficiency
 designs.

Package: r-cran-ppsr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-parsnip, r-cran-rpart, r-cran-withr, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ppsr_0.0.5-1.ca2004.1_all.deb
Size: 400716
MD5sum: 7a2f628b442f5057c9fdc709bed8f8ba
SHA1: 2564707020fc7f7b81ad5a5edd12269ecadbd394
SHA256: 47e9a990b20184cd2f005a58aab5914f8a0b91f13ebc99e2603faf3f226d6b4e
SHA512: 9432c72d21c7a940542926a03840403b5abbd6859764e1f003b19c29e182aaa0f1aa848fea4c814d49f61fc34234a14c59773a61963f4d947583c6382a82c1d6
Homepage: https://cran.r-project.org/package=ppsr
Description: CRAN Package 'ppsr' (Predictive Power Score)
 The Predictive Power Score (PPS) is an asymmetric, data-type-agnostic score
 that can detect linear or non-linear relationships between two variables.
 The score ranges from 0 (no predictive power) to 1 (perfect predictive
 power).  PPS can be useful for data exploration purposes, in the same way
 correlation analysis is.  For more information on PPS, see
 <https://github.com/paulvanderlaken/ppsr>.

Package: r-cran-pptcirc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-circular, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pptcirc_0.2.3-1.ca2004.1_all.deb
Size: 146880
MD5sum: 045f7a2651b9cfba62b4852a318db35e
SHA1: 3b3a829df230c14089eec9ca4b1df95851e7c6b6
SHA256: 45009faf241c27a3d57c872ca1991ba04f70654a23b6ddd675311f6e0cb0e021
SHA512: fba667c2e59cdb1fed7392c018e56a9c3b37ad87dccf7b367c42fbd87e4d873513f352647e43f9492501fb7b66abad37fabc93d57062977eecdad15b8261da15
Homepage: https://cran.r-project.org/package=PPTcirc
Description: CRAN Package 'PPTcirc' (Projected Polya Tree for Circular Data)
 Provides functionality for the prior and posterior projected Polya tree for
 the analysis of circular data (Nieto-Barajas and Nunez-Antonio (2019)
 <arXiv:1902.06020>).

Package: r-cran-pqantimalarials
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-plyr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-pqantimalarials_0.2-1.ca2004.1_all.deb
Size: 42796
MD5sum: 91271129bcd1d0678a985295c0423b07
SHA1: 5fc13d70ce6373288ec0ef9b6f6bce25303f965b
SHA256: 97221d0c2f942a3e87142d6e8b785ace5105e0b2b0e224543688345976b36786
SHA512: b7a2a33c7cb86998dfd6d703f55c9f06ada189854f2efaf9d9e98178f8b639aa81de69c0618c1a26f4d367cbd8337fc9b72fd88ae7de9e29e634cfeef0f933ad
Homepage: https://cran.r-project.org/package=pqantimalarials
Description: CRAN Package 'pqantimalarials' (web tool for estimating under-five deaths caused by poor-qualityantimalarials in sub-Saharan Africa)
 This package allows users to calculate the number of under-five child deaths
 caused by consumption of poor quality antimalarials across 39 sub-Saharan
 nations. The package supports one function, that starts an interactive web
 tool created using the shiny R package. The web tool runs locally on the
 user's machine.  The web tool allows users to set input parameters
 (prevalence of poor quality antimalarials, case fatality rate of children
 who take poor quality antimalarials, and sample size) which are then used to
 perform an uncertainty analysis following the Latin hypercube sampling
 scheme. Users can download the output figures as PDFs, and the output data
 as CSVs. Users can also download their input parameters for reference. This
 package was designed to accompany the analysis presented in: J. Patrick
 Renschler, Kelsey Walters, Paul Newton, Ramanan Laxminarayan "Estimated
 under-five deaths associated with poor-quality antimalarials in sub-Saharan
 Africa", 2014. Paper submitted.

Package: r-cran-pql
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pql_0.1.0-1.ca2004.1_all.deb
Size: 31072
MD5sum: 141bdda24081498da7b4353db7aa6d9a
SHA1: 6da74938f1d6e29cf13ff90df59f6bdf37f49e77
SHA256: c03687ab2824cba9ab2906d68582b0097fa92eada94837f31dae0d551888d23c
SHA512: 6544d7630c55fc52df88c74c094a5b3165e166d02b805d2bdf7d04f2293a90bace3e222233bbdd268d07af2ef04eca782f1d4655671a438dfcf6c86f2568231c
Homepage: https://cran.r-project.org/package=pql
Description: CRAN Package 'pql' (A Partitioned Quasi-Likelihood for Distributed StatisticalInference)
 In the big data setting, working data sets are often distributed on multiple
 machines. However, classical statistical methods are often developed to
 solve the problems of single estimation or inference. We employ a novel
 parallel quasi-likelihood method in generalized linear models, to make the
 variances between different sub-estimators relatively similar. Estimates are
 obtained from projection subsets of data and later combined by
 suitably-chosen unknown weights. The philosophy of the package is described
 in Guo G. (2020) <doi:10.1007/s00180-020-00974-4>.

Package: r-cran-pqtldata
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3949
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-rdpack
Suggests: r-cran-dplyr, r-bioc-ensdb.hsapiens.v75, r-bioc-ensembldb, r-bioc-iranges, r-bioc-org.hs.eg.db, r-bioc-s4vectors, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-pqtldata_0.5-1.ca2004.1_all.deb
Size: 2056880
MD5sum: de7565927641e97e8fa3baf490c841cb
SHA1: 89f592e215be64c7d576fb200889ab913fa0dceb
SHA256: c250f3273b02a3a121caf5a8f749ba99107683068d449050068ab40e87c0b036
SHA512: 7e3d1145c431fa12827743948c02e5b0105d1c978c7617bf956dfcb144793bfd0df0cce7a7d46640d8bbabdd449c44c1daad89df0315cbad16cf858ea0bf6065
Homepage: https://cran.r-project.org/package=pQTLdata
Description: CRAN Package 'pQTLdata' (A Collection of Proteome Panels and Meta-Data)
 It aggregates protein panel data and metadata for protein quantitative trait
 locus (pQTL) analysis using 'pQTLtools'
 (<https://jinghuazhao.github.io/pQTLtools/>).  The package includes data
 from affinity-based panels such as 'Olink' (<https://olink.com/>) and
 'SomaScan' (<https://somalogic.com/>), as well as mass spectrometry-based
 panels from 'CellCarta' (<https://cellcarta.com/>) and 'Seer'
 (<https://seer.bio/>). The metadata encompasses updated annotations and
 publication details.

Package: r-cran-pra
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mc2d, r-cran-minpack.lm
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pra_0.3.0-1.ca2004.1_all.deb
Size: 330848
MD5sum: 439edb3e443b42b4dec3ea40eb2966c0
SHA1: 646cb500347292d83fb065083060eaafa8b89089
SHA256: 8c63bfd391dbc118a3d3dfa6793645649562517740f6a0621a4c5f15db8801c7
SHA512: 6896d10a0b4bdd63bdb6d77f1221c48331ad2bdec686b251246529ddae5fecfd4b93ad9935c5c8183d90ec18873be44e533e289cc96dd6df15c6e2f23e015acd
Homepage: https://cran.r-project.org/package=PRA
Description: CRAN Package 'PRA' (Project Risk Analysis)
 Data analysis for Project Risk Management via the Second Moment Method,
 Monte Carlo Simulation, Contingency Analysis, Sensitivity Analysis, Earned
 Value Management, Learning Curves, Design Structure Matrices, and more.

Package: r-cran-praatpicture
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1772
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-av, r-cran-bslib, r-cran-crayon, r-cran-emur, r-cran-gifski, r-cran-gsignal, r-cran-ipa, r-cran-phontools, r-cran-reticulate, r-cran-rpraat, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyjs, r-cran-soundgen, r-cran-tuner, r-cran-wrassp, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-praatpicture_1.4.3-1.ca2004.1_all.deb
Size: 1076216
MD5sum: 931d5b30bdd47f986397ded3375cb6b5
SHA1: f4503bf1647b7f4bf799350beb4edbbf2cca1b7e
SHA256: e1cf3691318b659e4b239fb9512d7aa703b409950a3b47d8a813584d7ff638e5
SHA512: 9267b246eb23cc2095597ff4503313137225dda3efd74f8929e4146c84f7248079687820e345089a22f6aeacb7403095c8d65f422310dcc3c44612beacdcf3ff
Homepage: https://cran.r-project.org/package=praatpicture
Description: CRAN Package 'praatpicture' ('Praat Picture' Style Plots of Acoustic Data)
 Quickly and easily generate plots of acoustic data aligned with
 transcriptions similar to those made in 'Praat' using either derived signals
 generated directly in R with 'wrassp' or imported derived signals from
 'Praat'. Provides easy and fast out-of-the-box solutions but also a high
 extent of flexibility. Also provides options for embedding audio in figures
 and animating figures.

Package: r-cran-prabclus
Architecture: all
Version: 2.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-mclust
Suggests: r-cran-spdep, r-cran-spatialreg, r-cran-bootstrap, r-cran-foreign, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-prabclus_2.3-4-1.ca2004.1_all.deb
Size: 463512
MD5sum: 4174f2824841a3a1556012070af26aa6
SHA1: eceaecfd26bf82a613f4aeeec489766d4d36de08
SHA256: 2c245ed4de13eced472d0481d1a4c3581aa4b31efc751bfe581ab109ca1ce6df
SHA512: 7402f66bbe850e5e16aac28f24386493b4363978d72d685b11e83275d24a685bb65567e30de7eca0991cb88b759b044e499338105a494a54ba13e46a367df01d
Homepage: https://cran.r-project.org/package=prabclus
Description: CRAN Package 'prabclus' (Functions for Clustering and Testing of Presence-Absence,Abundance and Multilocus Genetic Data)
 Distance-based parametric bootstrap tests for clustering with spatial
 neighborhood information. Some distance measures, Clustering of
 presence-absence, abundance and multilocus genetic data for species
 delimitation, nearest neighbor based noise detection. Genetic distances
 between communities.  Tests whether various distance-based regressions are
 equal. Try package?prabclus for on overview.

Package: r-cran-pracma
Architecture: all
Version: 2.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1867
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-nlcoptim, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-pracma_2.4.4-1.ca2004.1_all.deb
Size: 1683316
MD5sum: ba46727f296b4d0f802291f0c1abe2cc
SHA1: 95ccbe46862c3c3f5b93b181c03050f052bf6138
SHA256: a93a666aef4b1abed684aff47e973d135915e869587f9ce29ce12ff47f2c9fc1
SHA512: 27ab59170cc1300e0e3a21b51df88688e909efe19a0c54a274ab6b964efeefcabcc59e50dc919237f1af66fdbab62b9e2b45f9b94890209a631f80d3af2daded
Homepage: https://cran.r-project.org/package=pracma
Description: CRAN Package 'pracma' (Practical Numerical Math Functions)
 Provides a large number of functions from numerical analysis and linear
 algebra, numerical optimization, differential equations, time series, plus
 some well-known special mathematical functions.  Uses 'MATLAB' function
 names where appropriate to simplify porting.

Package: r-cran-pracpac
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-glue, r-cran-fs, r-cran-rprojroot, r-cran-renv, r-cran-pkgbuild
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pracpac_0.2.0-1.ca2004.1_all.deb
Size: 319608
MD5sum: f80398eb0173407e2c1a809f4a41ccb2
SHA1: a75ec6e500e62ddf6485d76573ee82567327b5d1
SHA256: 873612b918f9004cc09f1fb71396c783387bc75918fc5d04bc9deee79f78a0af
SHA512: 986c9e8b995424ce51bf5cc4cb2739d6f25db6d80c846d68f1cabec6ccff3347a0bdc27186d1b91f421609ca7bb74307f56874dcd76a3c0ff2912b5278c467dc
Homepage: https://cran.r-project.org/package=pracpac
Description: CRAN Package 'pracpac' (Practical 'R' Packaging in 'Docker')
 Streamline the creation of 'Docker' images with 'R' packages and
 dependencies embedded. The 'pracpac' package provides a 'usethis'-like
 interface to creating Dockerfiles with dependencies managed by 'renv'. The
 'pracpac' functionality is described in Nagraj and Turner (2023)
 <doi:10.48550/arXiv.2303.07876>.

Package: r-cran-practicalequidesign
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-numderiv, r-cran-temporal, r-cran-tidyr
Suggests: r-cran-r.rsp, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-practicalequidesign_0.0.3-1.ca2004.1_all.deb
Size: 59960
MD5sum: de7a4d4debc1505e5ad2089a92e6b7d5
SHA1: 540c644053777cf9dd3f6223aba46681c2ad164a
SHA256: ab464241a8156231dbea849190df04c4be94d48a94b91ef7c396006ea04eaed2
SHA512: 15904c548e28aaf625d6caeb32026bcfc4abdf4cfc3d746af63b496ea2822482cedae0ef68a6091bea7773867353868b07992b9e77aa62cf20346a4277400da6
Homepage: https://cran.r-project.org/package=PracticalEquiDesign
Description: CRAN Package 'PracticalEquiDesign' (Design of Practical Equivalence Trials)
 Sample size calculations for practical equivalence trial design with a time
 to event endpoint.

Package: r-cran-practicalsigni
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 574
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-np, r-cran-generalcorr, r-cran-xtable, r-cran-shapleyvalue, r-cran-nns, r-cran-randomforest, r-cran-hypergeo
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-practicalsigni_0.1.2-1.ca2004.1_all.deb
Size: 499880
MD5sum: edbe1421234dddc5ae9de335199b416f
SHA1: d7ab69555b36b38637acd2cc5ff88d01134ca3a6
SHA256: 66c2e21a676205ea7ef309f739429618e43840af47f1485d853238a4f1405e09
SHA512: 65704f3c9b35235528c053c538607d9c4439f8e9f1992d619ba40107593bc871e1751995d19cb4dc77f4bdb4c0ea5d9c9aca91f55bf52179d658f08461b45ef9
Homepage: https://cran.r-project.org/package=practicalSigni
Description: CRAN Package 'practicalSigni' (Practical Significance Ranking of Regressors and Exact t Density)
 Consider a possibly nonlinear nonparametric regression with p regressors. We
 provide evaluations by 13 methods to rank regressors by their practical
 significance or importance using various methods, including machine learning
 tools. Comprehensive methods are as follows.  m6=Generalized partial
 correlation coefficient or GPCC by Vinod
 (2021)<doi:10.1007/s10614-021-10190-x> and Vinod
 (2022)<https://www.mdpi.com/1911-8074/15/1/32>.  m7= a generalization of
 psychologists' effect size incorporating nonlinearity and many variables.
 m8= local linear partial (dy/dxi) using the 'np' package for kernel
 regressions.  m9= partial (dy/dxi) using the 'NNS' package.  m10= importance
 measure using the 'NNS' boost function.  m11= Shapley Value measure of
 importance (cooperative game theory).  m12 and m13= two versions of the
 random forest algorithm.  Taraldsen's exact density for sampling
 distribution of correlations added.

Package: r-cran-practools
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4969
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-mass, r-cran-usmap
Suggests: r-cran-doby, r-cran-foreign, r-cran-lpsolve, r-cran-markdown, r-cran-plyr, r-cran-pps, r-cran-rcpp, r-cran-reshape, r-cran-roxygen2, r-cran-sampling, r-cran-samplingbook, r-cran-sp, r-cran-survey, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-practools_1.6.1-1.ca2004.1_all.deb
Size: 3865368
MD5sum: ca9903e9fea3f8f171b8126cab42025e
SHA1: e5c1d598e228418d06c8be421c6944894a41892b
SHA256: 171c028ebd1e6daa599f1279e3f905e2b2c42c7128615f87a0323585287b05d9
SHA512: 712310aff3267165de32b630af7fb2efd870a02f39cedb039325a40928c7fe8ff3f74d5d506a9b0f3d23e9d110c61c76dc59ad402e433b70e2035f7be012e902
Homepage: https://cran.r-project.org/package=PracTools
Description: CRAN Package 'PracTools' (Designing and Weighting Survey Samples)
 Functions and datasets to support Valliant, Dever, and Kreuter (2018),
 <doi:10.1007/978-3-319-93632-1>, "Practical Tools for Designing and
 Weighting Survey Samples". Contains functions for sample size calculation
 for survey samples using stratified or clustered one-, two-, and three-stage
 sample designs, and single-stage audit sample designs. Functions are
 included that will group geographic units accounting for distances apart and
 measures of size. Other functions compute variance components for multistage
 designs, sample sizes in two-phase designs, and a stopping rule for ending
 data collection. A number of example data sets are included.

Package: r-cran-prais
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sandwich, r-cran-pcse
Filename: pool/dists/focal/main/r-cran-prais_1.1.4-1.ca2004.1_all.deb
Size: 70968
MD5sum: ea5e3071e1d51636946ec37a898815c1
SHA1: f79666a84dcd3e610b26f3b9a4c55587ab3a1ac8
SHA256: 4e2d07331202e43a03874b142ddf655ab7e0befe53481c413a3f44e5d624651e
SHA512: 245d345e783c857965596e9374b6d699a4cd768b366f52887395ddfa7a054a648008adb569279b07e1aa5eaaa9949bdb3513a07ac7a0153d448fa683779eb98b
Homepage: https://cran.r-project.org/package=prais
Description: CRAN Package 'prais' (Prais-Winsten Estimator for AR(1) Serial Correlation)
 The Prais-Winsten estimator (Prais & Winsten, 1954) takes into account AR(1)
 serial correlation of the errors in a linear regression model. The procedure
 recursively estimates the coefficients and the error autocorrelation of the
 specified model until sufficient convergence of the AR(1) coefficient is
 attained.

Package: r-cran-praise
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-praise_1.0.0-1.ca2004.1_all.deb
Size: 17292
MD5sum: ccafb50cc026b8b4e0748d493976b5e9
SHA1: cd08f513d783a729dcf84d6cd9e3fb66ae140781
SHA256: e248fd44c36f17bb5718e322168ccfdbdd1e508bbf11f61a60b60ac4d76a3967
SHA512: 707baf25a99e662f97c335f7d2b95637c21c97b46d3b17b778a3a67c0837ef7aacf11b46dd88a8ff1ceb235523906520e30776e76524099abd0a367f146e222d
Homepage: https://cran.r-project.org/package=praise
Description: CRAN Package 'praise' (Praise Users)
 Build friendly R packages that praise their users if they have done
 something good, or they just need it to feel better.

Package: r-cran-prana
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-robustbase, r-bioc-minet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prana_1.0.6-1.ca2004.1_all.deb
Size: 119724
MD5sum: eb716dbcb7626be46e33bfbf22a48ae0
SHA1: d7a725a590f070e68c3a6e0960d51ec2afd41d9a
SHA256: 6743d6c5478f96ff2b539160ae323630fb2acc632c7f0ce674effe579e59390f
SHA512: d9852e24fc6800be4c0776a893ca91531e9242b57a5c93b945142ac4b4e18bf80559dec87e166143564f35bc353db513860c8c805af5800ac55bcf78939b0772
Homepage: https://cran.r-project.org/package=PRANA
Description: CRAN Package 'PRANA' (Pseudo-Value Regression Approach for Network Analysis (PRANA))
 A novel pseudo-value regression approach for the differential co-expression
 network analysis in expression data, which can incorporate additional
 clinical variables in the model. This is a direct regression modeling for
 the differential network analysis, and it is therefore computationally
 amenable for the most users. The full methodological details can be found in
 Ahn S et al (2023) <doi:10.1186/s12859-022-05123-w>.

Package: r-cran-prcr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 794
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-tibble, r-cran-irr, r-cran-lpsolve, r-cran-purrr, r-cran-class, r-cran-forcats, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-prcr_0.2.1-1.ca2004.1_all.deb
Size: 291668
MD5sum: b0c4f8550376ca6402d6bc390456eaa8
SHA1: 32a40e44f786a65c0e07442b22e521dbb9f56da4
SHA256: ea6af548270d7a196cfe76fadefb6ad10b443895207f1da87f23da8b00c5fb17
SHA512: 31618652cd1b9539d3b98f7742bb0cf947a3991df4c220197f4c405b91edd478139b4b9d68081cb326e4e647cde7408ef8ced9b073cf24b7508419af92c9d925
Homepage: https://cran.r-project.org/package=prcr
Description: CRAN Package 'prcr' (Person-Centered Analysis)
 Provides an easy-to-use yet adaptable set of tools to conduct person-center
 analysis using a two-step clustering procedure. As described in Bergman and
 El-Khouri (1999)
 <DOI:10.1002/(SICI)1521-4036(199910)41:6%3C753::AID-BIMJ753%3E3.0.CO;2-K>,
 hierarchical clustering is performed to determine the initial partition for
 the subsequent k-means clustering procedure.

Package: r-cran-pre
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1329
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-earth, r-cran-formula, r-cran-glmnet, r-cran-partykit, r-cran-rpart, r-cran-stringr, r-cran-survival, r-cran-matrix, r-cran-matrixmodels
Suggests: r-cran-interp, r-cran-doparallel, r-cran-foreach, r-cran-glmertree, r-cran-mlbench, r-cran-testthat, r-cran-mboost, r-cran-ggplot2, r-cran-caret, r-cran-proc, r-cran-knitr, r-cran-rmarkdown, r-cran-mice, r-cran-shape
Filename: pool/dists/focal/main/r-cran-pre_1.0.7-1.ca2004.1_all.deb
Size: 1043692
MD5sum: 2e27de07ca9debfc2d6d09ca7d49e18b
SHA1: ab83c73e5eba837ce6619234aef380300c3e24ee
SHA256: bc8720e63c629d320abefc83e34c4744de5e4dcdf31ff259dd656efaac60f621
SHA512: e9446573302c29d8b21ad2ea1e15c14cc1360dbc1cf0cddd88257d43081e374c81d882840af7ac0a34f6bd30b6b412c5601736e7943275d274e11b589e958913
Homepage: https://cran.r-project.org/package=pre
Description: CRAN Package 'pre' (Prediction Rule Ensembles)
 Derives prediction rule ensembles (PREs). Largely follows the procedure for
 deriving PREs as described in Friedman & Popescu (2008;
 <DOI:10.1214/07-AOAS148>), with adjustments and improvements. The main
 function pre() derives prediction rule ensembles consisting of rules and/or
 linear terms for continuous, binary, count, multinomial, and multivariate
 continuous responses. Function gpe() derives generalized prediction
 ensembles, consisting of rules, hinge and linear functions of the predictor
 variables.

Package: r-cran-precintcon
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-precintcon_2.3.0-1.ca2004.1_all.deb
Size: 216784
MD5sum: bb3009ba0a6ef5dbad9937447e70ba5b
SHA1: bfd627e984e84b15a207283b39fb45cc99fade53
SHA256: 6f1f7c89fac99a30dfeb29ecc2e0bef60f5a2f7d89b563d47101e53de0b0c021
SHA512: 86aa2158280036133d03163bc4d0487586e4521ba0b0585336709e3dfd7abbf2ee349b6563cb2f56340a9c4cb45bd2e76a4531e761457f4b7e342f8e3abd60ee
Homepage: https://cran.r-project.org/package=precintcon
Description: CRAN Package 'precintcon' (Precipitation Intensity, Concentration and Anomaly Analysis)
 It contains functions to analyze the precipitation intensity, concentration
 and anomaly.

Package: r-cran-precipe
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3236
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-openair, r-cran-raster, r-cran-scales, r-cran-twc
Suggests: r-cran-cowplot, r-cran-foreach, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-precipe_3.0.3-1.ca2004.1_all.deb
Size: 2203680
MD5sum: dda73e2eade5388a505c7004ac9aac3f
SHA1: 731342a103fc9b6536e59b115cc1573c56a948f6
SHA256: 086d16a850747a72e65002036201c22a23fe33cdfe4fc70020eca26fcb347bcc
SHA512: 69e00350ff887d89b88bbd353093bd743eed5f3531002c0925aa82c63841b542d26d80ca9290e058506387c1032acd56d6dc2f74e053995b796f08250eefe1b2
Homepage: https://cran.r-project.org/package=pRecipe
Description: CRAN Package 'pRecipe' (Precipitation R Recipes)
 An open-access tool/framework to download, validate, visualize, and analyze
 multi-source precipitation data. More information and an example of
 implementation can be found in Vargas Godoy and Markonis (2023,
 <doi:10.1016/j.envsoft.2023.105711>).

Package: r-cran-precisely
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3074
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinythemes, r-cran-tidyr
Suggests: r-cran-covr, r-cran-ggrepel, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-precisely_0.1.2-1.ca2004.1_all.deb
Size: 2322148
MD5sum: eb07952d4163277fa0695548f642b4e0
SHA1: dd53864a32afc994039d2635ee07892d4968f322
SHA256: 3504c2a4027cf97d1f1533ef7b8000ef92253094751ab96a5a66fb92789b3933
SHA512: 40a2b6d40eb341e54b22154c4cbf2d60561763f0e6e42eef7516cdd3c9590919d82c640754e8d0727e862945dc9c7d0cede9cd298c90dea832c5f5847c060185
Homepage: https://cran.r-project.org/package=precisely
Description: CRAN Package 'precisely' (Estimate Sample Size Based on Precision Rather than Power)
 Estimate sample size based on precision rather than power.  'precisely' is a
 study planning tool to calculate sample size based on precision. Power
 calculations are focused on whether or not an estimate will be statistically
 significant; calculations of precision are based on the same principles as
 power calculation but turn the focus to the width of the confidence
 interval. 'precisely' is based on the work of 'Rothman and Greenland'
 (2018).

Package: r-cran-preciseplacement
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-preciseplacement_0.1.0-1.ca2004.1_all.deb
Size: 240508
MD5sum: 23e13239e2fd2e82a9494d17a35bf949
SHA1: 426d46f33e20aae3a2b137cac97b841bb37fc6c4
SHA256: b8186d079cfd7f05dbffa5015b133914efd7111b05a4f490da31fb2887b95a17
SHA512: a6c32281f5113535798f63ce0fdf35b00202d6d3cb9c84d31991f70cdeeba9d17df97aa494d1d606afeaf68c22b7f007f58c11517ee12cd59fab44b03c3c64d0
Homepage: https://cran.r-project.org/package=precisePlacement
Description: CRAN Package 'precisePlacement' (Suite of Functions to Help Get Plot Elements Exactly Where YouWant Them)
 Provides a selection of tools that make it easier to place elements onto a
 (base R) plot exactly where you want them. It allows users to identify
 points and distances on a plot in terms of inches, pixels, margin lines,
 data units, and proportions of the plotting space, all in a manner more
 simple than manipulating par().

Package: r-cran-precmed
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gbm, r-cran-gam, r-cran-ggplot2, r-cran-glmnet, r-cran-mass, r-cran-mgcv, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-survival, r-cran-randomforestsrc
Filename: pool/dists/focal/main/r-cran-precmed_1.1.0-1.ca2004.1_all.deb
Size: 992824
MD5sum: b706495dd923c6ce00d26fc2f91d501b
SHA1: 67ae3dfb056614577d30c0afa0b4183458ea34d2
SHA256: f5b7b96edd829626a8d70315b6a75dc6281678077aea8bed84206edfd5867d3c
SHA512: d4290dfccd29fa81325ed79cf4eef0a2ba623e2370a1f2296bf12436c710799180e59ab75d74bcb586378e79bfc050e158d96a1389433fcf6548b5aaa82540e1
Homepage: https://cran.r-project.org/package=precmed
Description: CRAN Package 'precmed' (Precision Medicine)
 A doubly robust precision medicine approach to fit, cross-validate and
 visualize prediction models for the conditional average treatment effect
 (CATE). It implements doubly robust estimation and semiparametric modeling
 approach of treatment-covariate interactions as proposed by Yadlowsky et al.
 (2020) <doi:10.1080/01621459.2020.1772080>.

Package: r-cran-precommit
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 633
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-here, r-cran-magrittr, r-cran-purrr, r-cran-r.cache, r-cran-rlang, r-cran-rprojroot, r-cran-withr, r-cran-yaml
Suggests: r-cran-desc, r-cran-docopt, r-cran-git2r, r-cran-glue, r-cran-knitr, r-cran-lintr, r-cran-pkgload, r-cran-pkgdown, r-cran-reticulate, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi, r-cran-spelling, r-cran-styler, r-cran-testthat, r-cran-tibble, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-precommit_0.4.3-1.ca2004.1_all.deb
Size: 419216
MD5sum: 48686f9471b58c01b5034ab019e4e609
SHA1: 6ad4cef81353fc1ef724ae0acd079be7f2ce8516
SHA256: 7e8eb33ce5338ce2ae48c01a6c66e46199d87ee8e05cfbb37da987676e1dbefe
SHA512: 90e7f3d097ed2256cdcecf28acb6d0000abdd63f68b80e5d56ca8cc444756bd6fcefe974dd7e24a77a27d1aa8f7810d3be2974f1a47469bdf3ce04e77cd876e2
Homepage: https://cran.r-project.org/package=precommit
Description: CRAN Package 'precommit' (Pre-Commit Hooks)
 Useful git hooks for R building on top of the multi-language framework
 'pre-commit' for hook management. This package provides git hooks for common
 tasks like formatting files with 'styler' or spell checking as well as
 wrapper functions to access the 'pre-commit' executable.

Package: r-cran-predcrg
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4752
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-protr, r-cran-peptides, r-cran-kernlab, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-predcrg_1.0.2-1.ca2004.1_all.deb
Size: 4796448
MD5sum: 67e41d7f1b91d49bfebc8f8e2176c6fc
SHA1: af8b66350f446bc1ec2b866241bbd147298f2828
SHA256: 77a1b2ae425d405a5a36ae984d2123ec0ba40b657718955f5cb62a67944f22a6
SHA512: 1af58956f51e7309b8638460a9bdfae9bef4bb21c0075cd37f310c77dfe0b6ee3a0a2e6298c9ccc845d89f8a6c492a733aee9b08861b7021d8d4fb886b65e9c6
Homepage: https://cran.r-project.org/package=PredCRG
Description: CRAN Package 'PredCRG' (Computational Prediction of Proteins Encoded by Circadian Genes)
 A computational model for predicting proteins encoded by circadian genes.
 The support vector machine has been employed with Laplace kernel for
 prediction of circadian proteins, where compositional, transitional and
 physico-chemical features were utilized as numeric features. User can
 predict for the test dataset using the proposed computational model.
 Besides, the user can also build their own training model using their
 training dataset, followed by prediction for the test set.

Package: r-cran-predfairness
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-caret
Filename: pool/dists/focal/main/r-cran-predfairness_0.1.0-1.ca2004.1_all.deb
Size: 327304
MD5sum: 557ea954f032e7a76be0128fff0e7911
SHA1: 3de26c43eeb6502f63e7e117dfcae5ddb517ebd8
SHA256: c0c2fa033c053ab35d60769b0a358be759e1ba62a6f81e87fe214f5ba4081615
SHA512: e16783128c0e0ba4bc856b6c7dc28801e0da6573bfd9d70550ea19894408a177ba5dc41fe821ff3134064662bbc81b003ed9158831a539a740cd8976a84609ca
Homepage: https://cran.r-project.org/package=predfairness
Description: CRAN Package 'predfairness' (Discrimination Mitigation for Machine Learning Models)
 Based on different statistical definitions of discrimination, several
 methods have been proposed to detect and mitigate social inequality in
 machine learning models.  This package aims to provide an alternative to
 fairness treatment in predictive models. The ROC method implemented in this
 package is described by Kamiran, Karim and Zhang (2012)
 <https://ieeexplore.ieee.org/document/6413831/>.

Package: r-cran-predhy.gui
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2482
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-data.table, r-cran-dt, r-cran-predhy, r-cran-bglr, r-cran-pls, r-cran-glmnet, r-cran-xgboost, r-cran-lightgbm, r-cran-foreach, r-cran-doparallel, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-predhy.gui_2.1-1.ca2004.1_all.deb
Size: 2282772
MD5sum: c6c76b282c328c6a7b7d9f51d5c77de0
SHA1: 4a294cda12b751694e5a236328f0942a7dd9f36a
SHA256: 468c2d5849198567644bfc753b740b07fbf2e35939c2fac9ad6c36d10e343c3a
SHA512: 844c8e56c5731eb078d2c0f8eaae4abbb3a7b633a8fff44f4a08c5efe1abf57f6a99efdaf95467ebc7e691c96337da7d9db6cd627dd2c2191e15336a5a6c1df9
Homepage: https://cran.r-project.org/package=predhy.GUI
Description: CRAN Package 'predhy.GUI' (Genomic Prediction of Hybrid Performance with Graphical UserInterface)
 Performs genomic prediction of hybrid performance using eight GS methods
 including GBLUP, BayesB, RKHS, PLS, LASSO, Elastic net, XGBoost and
 LightGBM.  GBLUP: genomic best liner unbiased prediction, RKHS: reproducing
 kernel Hilbert space, PLS: partial least squares regression, LASSO: least
 absolute shrinkage and selection operator, XGBoost: extreme gradient
 boosting, LightGBM: light gradient boosting machine.  It also provides fast
 cross-validation and mating design scheme for training population (Xu S et
 al (2016) <doi:10.1111/tpj.13242>; Xu S (2017) <doi:10.1534/g3.116.038059>).

Package: r-cran-predhy
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bglr, r-cran-pls, r-cran-glmnet, r-cran-xgboost, r-cran-lightgbm, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-predhy_2.1.2-1.ca2004.1_all.deb
Size: 1261564
MD5sum: 2894e9190107b4c4b1fcb638d1ecb8b5
SHA1: 4963555489727862b160a9c6dc05e9f66bd8ee3f
SHA256: a60b417db698fbdf9c36a4e22dc45bd1714d48506a1e1fbd62a0b70c9de37fb1
SHA512: 9390449343d867640b65c18e22443cfee888be46904e6de4e9e0026aa9e3224c525fa62b3b943d7c673fa10c5ea1f49ea3c9dba019c705989c627cd509b4d612
Homepage: https://cran.r-project.org/package=predhy
Description: CRAN Package 'predhy' (Genomic Prediction of Hybrid Performance)
 Performs genomic prediction of hybrid performance using eight statistical
 methods including GBLUP, BayesB, RKHS, PLS, LASSO, EN, LightGBM and XGBoost
 along with additive and additive-dominance models. Users are able to
 incorporate parental phenotypic information in all methods based on their
 specific needs. (Xu S et al(2017) <doi:10.1534/g3.116.038059>; Xu Y et al
 (2021) <doi: 10.1111/pbi.13458>).

Package: r-cran-predict3d
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 996
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rgl, r-cran-dplyr, r-cran-ggiraphextra, r-cran-modelr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-magrittr, r-cran-reshape2, r-cran-plyr, r-cran-tidyr
Suggests: r-cran-moonbook, r-cran-th.data, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-predict3d_0.1.5-1.ca2004.1_all.deb
Size: 541120
MD5sum: 1bf5b15b5b8c70943c14a59af80fe02f
SHA1: b17d3c43cf26287e7983f77e92f9b07657a3c8a2
SHA256: abd02f037e52a9649ead0cac7a47333aa83644f46c4f31d6874bb6a6156d7e88
SHA512: ae9b94bbc11c61e12e918b22a133cace976e6c205fababbddd5b7c968bd4e6fa593f0d0dd01c753af0cf7733f002e7da0a8a47ce06f4c7c2b5022062bf7e3732
Homepage: https://cran.r-project.org/package=predict3d
Description: CRAN Package 'predict3d' (Draw Three Dimensional Predict Plot Using Package 'rgl')
 Draw 2 dimensional and three dimensional plot for multiple regression models
 using package 'ggplot2' and 'rgl'.  Supports linear models (lm), generalized
 linear models (glm) and local polynomial regression fittings (loess).

Package: r-cran-predictabel
Architecture: all
Version: 1.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-rocr, r-cran-pbsmodelling, r-cran-lazyeval
Filename: pool/dists/focal/main/r-cran-predictabel_1.2-4-1.ca2004.1_all.deb
Size: 174596
MD5sum: dcc9ed34c17ddd1e5ff29e8fc076145b
SHA1: cd80d1e3cf4c6ab2367eee1e44a661ac185e2433
SHA256: d5d2182554223c401308a7d3ee0e4222909a5993d4774e1a84a4d5d5359bf34b
SHA512: af71331e96c1b699d39fe399f289fa5a39880bebb0295e8e65602a39d7e8e5068e603b2a798a2383f041a09cbeb66a80490032b1fb8e81cde1ff15b0508f939b
Homepage: https://cran.r-project.org/package=PredictABEL
Description: CRAN Package 'PredictABEL' (Assessment of Risk Prediction Models)
 We included functions to assess the performance of risk models. The package
 contains functions for the various measures that are used in empirical
 studies, including univariate and multivariate odds ratios (OR) of the
 predictors, the c-statistic (or area under the receiver operating
 characteristic (ROC) curve (AUC)), Hosmer-Lemeshow goodness of fit test,
 reclassification table, net reclassification improvement (NRI) and
 integrated discrimination improvement (IDI). Also included are functions to
 create plots, such as risk distributions, ROC curves, calibration plot,
 discrimination box plot and predictiveness curves. In addition to functions
 to assess the performance of risk models, the package includes functions to
 obtain weighted and unweighted risk scores as well as predicted risks using
 logistic regression analysis. These logistic regression functions are
 specifically written for models that include genetic variables, but they can
 also be applied to models that are based on non-genetic risk factors only.
 Finally, the package includes function to construct a simulated dataset with
 genotypes, genetic risks, and disease status for a hypothetical population,
 which is used for the evaluation of genetic risk models.

Package: r-cran-prediction
Architecture: all
Version: 0.3.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prediction_0.3.18-1.ca2004.1_all.deb
Size: 229896
MD5sum: d46fcb4ed111fd1e1cc5298f53310e43
SHA1: 3744ff9daca97ffd91a98ecaac1e92c476b9da65
SHA256: 624a5232949e13053dd3c2178153d1e60df03bf270e7e89417117813f30ce9d4
SHA512: 17a8b37d90ab7b4764807fbe66f7b7fb4ad943d8e76c4878a37c6784827c828533fefc56a3677d38fa9d4eea35056750bfc09be212a98834d595c7006e0dbe61
Homepage: https://cran.r-project.org/package=prediction
Description: CRAN Package 'prediction' (Tidy, Type-Safe 'prediction()' Methods)
 A one-function package containing prediction(), a type-safe alternative to
 predict() that always returns a data frame. The summary() method provides a
 data frame with average predictions, possibly over counterfactual versions
 of the data (à la the margins command in 'Stata'). Marginal effect
 estimation is provided by the related package, 'margins'
 <https://cran.r-project.org/package=margins>. The package currently supports
 common model types (e.g., lm, glm) from the 'stats' package, as well as
 numerous other model classes from other add-on packages. See the README file
 or main package documentation page for a complete listing.

Package: r-cran-predictioninterval
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mbess, r-cran-mass, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-predictioninterval_1.0.0-1.ca2004.1_all.deb
Size: 59736
MD5sum: 1ee8ab9ec442ede27266aae2b8b18e10
SHA1: 9a592cb6cd78051c779c8d4e082f93e556afdd29
SHA256: 0ae6911c4d9201b7b17f1000b3f77ad6b7e0ded574e03174b7254f1fb14c05af
SHA512: 81f1ab1b8995d406dce579e6572bae72b13f8a1c2fdcb576350b2c312baadfbeea37c77325bab2ea11213d3ca48501ffedd196d6e3e2f81c2c76f85245d4618c
Homepage: https://cran.r-project.org/package=predictionInterval
Description: CRAN Package 'predictionInterval' (Prediction Interval Functions for Assessing Replication StudyResults)
 A common problem faced by journal reviewers and authors is the question of
 whether the results of a replication study are consistent with the original
 published study. One solution to this problem is to examine the effect size
 from the original study and generate the range of effect sizes that could
 reasonably be obtained (due to random sampling) in a replication attempt
 (i.e., calculate a prediction interval). This package has functions that
 calculate the prediction interval for the correlation (i.e., r),
 standardized mean difference (i.e., d-value), and mean.

Package: r-cran-predictionr
Architecture: all
Version: 1.0-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus, r-cran-renext
Suggests: r-cran-actuar, r-cran-tolerance
Filename: pool/dists/focal/main/r-cran-predictionr_1.0-12-1.ca2004.1_all.deb
Size: 44888
MD5sum: ca7906062c51c601712b47bfa0b4a044
SHA1: 62966994d724a7d43964eef43f64471b2a1da9e8
SHA256: cf42b4142e1f6788140e690cad492e515d0b2a3363f0503cdca409cf1f0cd2df
SHA512: ca5e299a2c135442c2b5523708be067680e9decfe0464a31c4cea3198afcb95656d5d249467dbeba5c59d67b29c012cb432787db813822417dac53145886e5f2
Homepage: https://cran.r-project.org/package=PredictionR
Description: CRAN Package 'PredictionR' (Prediction for Future Data from any Continuous Distribution)
 Functions to get prediction intervals and prediction points of future
 observations from any continuous distribution.

Package: r-cran-predictiveregression
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-predictiveregression_0.1-4-1.ca2004.1_all.deb
Size: 39748
MD5sum: e6528d6e9c058f8a70ae6ec838eea993
SHA1: 73ee6e9fec7ff43815424f39488108d9adc0cc7f
SHA256: bfabc833675d4181bc4d985d73a0d472cf2b51036656a17f4d5c50974ac83846
SHA512: 8f1a5a2dca949f1e4139a5a42a0b80b1bfb86245f5cbff513230f93fbf6796a34436b77ff80f9fae65b8e0f3458773063dd423224b4f4edad653f616050bf584
Homepage: https://cran.r-project.org/package=PredictiveRegression
Description: CRAN Package 'PredictiveRegression' (Prediction Intervals for Three Basic Statistical Models)
 Three prediction algorithms described in the paper "On-line predictive
 linear regression" Annals of Statistics 37, 1566 - 1590 (2009)

Package: r-cran-predictme
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3918
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-predictme_0.1-1.ca2004.1_all.deb
Size: 2304468
MD5sum: 456c9c26b2c7486d31f658ab7ec2331f
SHA1: 44b12837ffe956b11d6274d87c74f6adc9da3d87
SHA256: 55a14d67e053250e58420ac4f327433c584fd2b22e065e986edddf6079643303
SHA512: 73005383aac2ec811e911dfda314c5f6261fe141992e642fcac4f6d973d6325d931f7cf91260561c7ef36243a50d833251290bbd421473855d3c73536c140e7e
Homepage: https://cran.r-project.org/package=predictMe
Description: CRAN Package 'predictMe' (Visualize Individual Prediction Performance)
 Enables researchers to visualize the prediction performance of any algorithm
 on the individual level (or close to it), given that the predicted outcome
 is either binary or continuous. Visual results are instantly comprehensible.

Package: r-cran-predictnmb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1200
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-cutpointr, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-pmsampsize, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-covr, r-cran-flextable, r-cran-knitr, r-cran-pbapply, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-predictnmb_0.2.1-1.ca2004.1_all.deb
Size: 553540
MD5sum: a2a4c28f8a6501884fa71fe38de78e35
SHA1: a4f8a88f35cff0d825a40a697350b3357025e50d
SHA256: 1b526abbd087383d701ceab7fbc9c75aca05f4d0320f9dba900b8c33e0ab4eb1
SHA512: ffa945e4d7cae3886056f877efa98b0eeef78ceb0933267c0f0c0b1c80697cdc2f04c34521e541ad2605e1dd64c53e85c302bf8daa87420cb59c99a3348b0e88
Homepage: https://cran.r-project.org/package=predictNMB
Description: CRAN Package 'predictNMB' (Evaluate Clinical Prediction Models by Net Monetary Benefit)
 Estimates when and where a model-guided treatment strategy may outperform a
 treat-all or treat-none approach by Monte Carlo simulation and evaluation of
 the Net Monetary Benefit. Details can be viewed in Parsons et al. (2023)
 <doi:10.21105/joss.05328>.

Package: r-cran-predictor
Architecture: all
Version: 4.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 637
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dt, r-cran-dplyr, r-cran-shiny, r-cran-golem, r-cran-rlang, r-cran-loader, r-cran-config, r-cran-glmnet, r-cran-trainer, r-cran-shinyjs, r-cran-xgboost, r-cran-shinyace, r-cran-echarts4r, r-cran-htmltools, r-cran-rpart.plot, r-cran-colourpicker, r-cran-shinydashboard, r-cran-shinycustomloader, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-predictor_4.1.5-1.ca2004.1_all.deb
Size: 542872
MD5sum: 49307d773c0bfc53874871e922c2fe56
SHA1: ff536764a29d555fc00baf8638fb3c2023b4adb3
SHA256: 92b70f6ae54c44f7838c5f61989bd613d5a246caaede07a5dc179dec19471aaf
SHA512: 6aee18b69fb6adbb740fcde1934c0647907c18b19c2d98851ff48d30b4cc9df8a1a94bed821b0d3951ae2c71fe7fc0929cc5811c1087eb63098081c4eb05bdd6
Homepage: https://cran.r-project.org/package=predictoR
Description: CRAN Package 'predictoR' (Predictive Data Analysis System)
 Perform a supervised data analysis on a database through a 'shiny' graphical
 interface. It includes methods such as K-Nearest Neighbors, Decision Trees,
 ADA Boosting, Extreme Gradient Boosting, Random Forest, Neural Networks,
 Deep Learning, Support Vector Machines and Bayesian Methods.

Package: r-cran-predictorselect
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-predictorselect_0.1.0-1.ca2004.1_all.deb
Size: 24960
MD5sum: 5a0357b40fa59e145a50ed7943596881
SHA1: 428f49aac036ec7828ae92fc2aa87a2627a40e83
SHA256: 382d8cf9ac803554f947eae8bc587a78777f4ac5d23dd86df8f9e79f917754af
SHA512: 1f9e9382d48b4b339ca6e3da6eac9d150a13683be0ff9306e4f9881e1b742bf7bced65bfa3817e4144bbb7c66e0ca6250e8a49cf83746d72fe0af36503e51bcd
Homepage: https://cran.r-project.org/package=PredictorSelect
Description: CRAN Package 'PredictorSelect' (Out-of-Sample Predictability in Predictive Regressions with ManyPredictor Candidates)
 Consider a linear predictive regression setting with a potentially large set
 of candidate predictors. This work is concerned with detecting the presence
 of out of sample predictability based on out of sample mean squared error
 comparisons given in Gonzalo and Pitarakis (2023)
 <doi:10.1016/j.ijforecast.2023.10.005>.

Package: r-cran-predictrace
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4938
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-predictrace_2.0.1-1.ca2004.1_all.deb
Size: 4969520
MD5sum: f1d802d8fc3ab6129341689d7fe58311
SHA1: 039cc14757504699e539ac1514a25ca41b9d1619
SHA256: 6f2e3197f7a3f2adc3bfbe6cbd6f058dd93d188158a91e6716e04227c6e39729
SHA512: e386d4b04d5fbc582da2d0aeedf4bcb1b9f1c1051f4f0f639b66c88e56c36efba50031236231d4694b6df11227638eca27b00c048771003527723192b01365d2
Homepage: https://cran.r-project.org/package=predictrace
Description: CRAN Package 'predictrace' (Predict the Race and Gender of a Given Name Using Census andSocial Security Administration Data)
 Predicts the most common race of a surname and based on U.S. Census data,
 and the most common first named based on U.S. Social Security Administration
 data.

Package: r-cran-predicts
Architecture: all
Version: 0.1-19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5235
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra
Suggests: r-cran-disdat, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-predicts_0.1-19-1.ca2004.1_all.deb
Size: 2656332
MD5sum: 31180d5d65286bbc571c52ee0cc6943d
SHA1: 958bf11f385c7651adef01bd652458708b6901db
SHA256: abe6db024d3e25aa27485921d17f7604fe6d59a5fa9404e47dac643afc80c2e4
SHA512: dbdc0f04688e2f1ae518592130784816e2db26bfa04c798b68b9485f8fb53bda3a1b0a6127282df236ade538df36532d4757b97caeec1a632829f41bfc0d51a0
Homepage: https://cran.r-project.org/package=predicts
Description: CRAN Package 'predicts' (Spatial Prediction Tools)
 Methods for spatial predictive modeling, especially for spatial distribution
 models. This includes algorithms for model fitting and prediction, as well
 as methods for model evaluation.

Package: r-cran-predieval
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-ggplot2, r-cran-mass, r-cran-matching
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-predieval_0.1.1-1.ca2004.1_all.deb
Size: 168912
MD5sum: 1c30a5da48b3960bb36f1c55e8e92bbd
SHA1: ef4144819cec872ab5c2541794f11e529054c169
SHA256: f89c197333e00ae2a420b0855722316bf6e12765be49cb1a118c55f2bb37d153
SHA512: 04a6fe76cf20540b617f41ab029f8f2008ad8ba2fcb490133c742075bd83ed18d88de15e317a9d82474be4cc6ebf28463d837da202efa70e5a339063ffc762ce
Homepage: https://cran.r-project.org/package=predieval
Description: CRAN Package 'predieval' (Assessing Performance of Prediction Models for PredictingPatient-Level Treatment Benefit)
 Methods for assessing the performance of a prediction model with respect to
 identifying patient-level treatment benefit. All methods are applicable for
 continuous and binary outcomes, and for any type of statistical or
 machine-learning prediction model as long as it uses baseline covariates to
 predict outcomes under treatment and control.

Package: r-cran-predint
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-lme4, r-cran-mass
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-predint_2.2.1-1.ca2004.1_all.deb
Size: 337412
MD5sum: 7e246325acecf41efdc2624957737c8b
SHA1: de9f497c1fd639264a952959c89fcef9490f46cc
SHA256: 03b142f18922511eb5de0782bff2a721d6042436d39ea6feea527a0b674e2df5
SHA512: 84046b320778aadcfbbc485af7fec311163f6f905a075527fc3f27aafe29df69cc07284c209ca4f074d1068696618a0e26ba9cc3da921f1ea74825b1920f49af
Homepage: https://cran.r-project.org/package=predint
Description: CRAN Package 'predint' (Prediction Intervals)
 An implementation of prediction intervals for overdispersed count data, for
 overdispersed binomial data and for linear random effects models.

Package: r-cran-predpsych
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-ggplot2, r-cran-caret, r-cran-rpart, r-cran-e1071, r-cran-mclust, r-cran-mass, r-cran-party, r-cran-randomforest, r-cran-statmod
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-predpsych_0.4-1.ca2004.1_all.deb
Size: 835316
MD5sum: d29f35eb7fdc0b4a27e3f4025332a90f
SHA1: be8be692a1963833bb81beb5a322d3345a855ee9
SHA256: a274299ee26ac0f32dcd5faa79d478ce4e16221c1f2dd37666b1c4f649494dd2
SHA512: 7194ee18076f06a97d97bc01ad44f69da1b2595e189ab632361c6bda081090580dfd7522251f3d3d21873169c1bc768268e701729aed44b6cc296617f80629da
Homepage: https://cran.r-project.org/package=PredPsych
Description: CRAN Package 'PredPsych' (Predictive Approaches in Psychology)
 Recent years have seen an increased interest in novel methods for analyzing
 quantitative data from experimental psychology. Currently, however, they
 lack an established and accessible software framework. Many existing
 implementations provide no guidelines, consisting of small code snippets, or
 sets of packages. In addition, the use of existing packages often requires
 advanced programming experience. 'PredPsych' is a user-friendly toolbox
 based on machine learning predictive algorithms. It comprises of multiple
 functionalities for multivariate analyses of quantitative behavioral data
 based on machine learning models.

Package: r-cran-predreliability
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-predreliability_0.1.0-1.ca2004.1_all.deb
Size: 32032
MD5sum: ebaf49c5db6d5e2b07b4fee501659471
SHA1: b5a0f2649221efd26694e74ccd347f703b6f0a97
SHA256: afa1c71a29fe014b6a21c49454b9d3548c1b483e7de7c89a1f0d0acc9ab82a27
SHA512: 6f080409ae5cad11ab9c79273e14b3fa3bddb3292f2476337b157bfe74523739bc80736498536a08bd1d8f3e75ff3d6d5ee636398e3991c4f438def3f91ddb7f
Homepage: https://cran.r-project.org/package=predReliability
Description: CRAN Package 'predReliability' (Estimates Reliability of Individual Supervised LearningPredictions)
 An implementation of reliability estimation methods described in the paper
 (Bosnic, Z., & Kononenko, I. (2008) <doi:10.1007/s10489-007-0084-9>), which
 allows you to test the reliability of a single predicted instance made by
 your model and prediction function. It also allows you to make a correlation
 test to estimate which reliability estimate is the most accurate for your
 model.

Package: r-cran-predrupdate
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1040
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-proc, r-cran-ggplot2, r-cran-rlang, r-cran-ggpubr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-predrupdate_0.2.0-1.ca2004.1_all.deb
Size: 766776
MD5sum: 8f4681f7eb22a91b0339a961544c46cb
SHA1: 06a396f658747bc8026d7e6914e1290a9eaa29c7
SHA256: d4acf9d4ba962d29a205128179ba678269afd2cb4986312453297501f9dd4d33
SHA512: a1fc9d89580de80725b07d1d21838af2f72b8c53e4c9487b0f45790934cb23c90ca636b0f7b870b29eb144d1487d7129a2c6e4822b26dddfb0ea1b617fd33f35
Homepage: https://cran.r-project.org/package=predRupdate
Description: CRAN Package 'predRupdate' (Prediction Model Validation and Updating)
 Evaluate the predictive performance of an existing (i.e. previously
 developed) prediction/ prognostic model given relevant information about the
 existing prediction model (e.g. coefficients) and a new dataset. Provides a
 range of model updating methods that help tailor the existing model to the
 new dataset; see Su et al. (2018) <doi:10.1177/0962280215626466>. Techniques
 to aggregate multiple existing prediction models on the new data are also
 provided; see Debray et al. (2014) <doi:10.1002/sim.6080> and Martin et al.
 (2018) <doi:10.1002/sim.7586>).

Package: r-cran-predtest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-devtools, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-predtest_0.1.0-1.ca2004.1_all.deb
Size: 135552
MD5sum: 979f68e2a07805855cddf65c64deba6b
SHA1: aa29093275effd0481cfd0dfe37d138aba3dc6b0
SHA256: 6f333eb1fcf41cb507cebf5c48bfc8531ed039abfaed9cb4e90a82cacaed4a05
SHA512: 5b4b1d88041a5a64415b558cf80c3b52fec218646f5a9c7396cc828c2b174940639e9443df4292db375fa3522f4dd11c0df42608172ad34cc231f0d7a3a2dc47
Homepage: https://cran.r-project.org/package=PredTest
Description: CRAN Package 'PredTest' (Preparing Data For, and Calculating the Prediction Test)
 Global hypothesis tests combine information across multiple endpoints to
 test a single hypothesis. The prediction test is a recently proposed global
 hypothesis test with good performance for small sample sizes and many
 endpoints of interest. The test is also flexible in the types and
 combinations of expected results across the individual endpoints. This
 package provides functions for data processing and calculation of the
 prediction test.

Package: r-cran-predtoolsts
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-forecast, r-cran-metrics, r-cran-tspred, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-predtoolsts_0.1.1-1.ca2004.1_all.deb
Size: 101412
MD5sum: 030a1c49c24532d9d5b1b85ce9419a9b
SHA1: d297c484b5f45ce777975cb48098d88231aa2a92
SHA256: 3df8ba6476502665f293ce2c7d72594d1cda094be23b0da6eeca726eeada2894
SHA512: 56db740a6270985a30a25873c8a10b7ecbb6fd27377de376473730f3d71dd22667b9bc4665753f2561666a51c8b7623442b2dfc3c89e9e536099dc5f27794266
Homepage: https://cran.r-project.org/package=predtoolsTS
Description: CRAN Package 'predtoolsTS' (Time Series Prediction Tools)
 Makes the time series prediction easier by automatizing this process using
 four main functions: prep(), modl(), pred() and postp(). Features different
 preprocessing methods to homogenize variance and to remove trend and
 seasonality.  Also has the potential to bring together different predictive
 models to make comparatives.  Features ARIMA and Data Mining Regression
 models (using caret).

Package: r-cran-pref
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-pref_0.4.0-1.ca2004.1_all.deb
Size: 157976
MD5sum: f4a114994a09e35a4962b158dc0c39a4
SHA1: 50dcd69ab57516bc84d33a5553f807d1a487ef64
SHA256: 5b94760e55134f5c61a6b58592cae6f0d62c54260147fe6ba4b29af80c1711fd
SHA512: 0f5a68118afd87db8674a1d0d2b4f9bc49d4c6f07b449903640d95dcaed65674d787f1dec6791ff0df0d13f9e221a9759342cefa7bcce8c1c41a8f6994e6794b
Homepage: https://cran.r-project.org/package=pref
Description: CRAN Package 'pref' (Preference Voting with Explanatory Graphics)
 Implements the Single Transferable Vote (STV) electoral system, with clear
 explanatory graphics. The core function stv() uses Meek's method, the purest
 expression of the simple principles of STV, but which requires electronic
 counting. It can handle votes expressing equal preferences for subsets of
 the candidates. A function stv.wig() implementing the Weighted Inclusive
 Gregory method, as used in Scottish council elections, is also provided, and
 with the same options, as described in the manual. The required vote data
 format is as an R list: a function pref.data() is provided to transform some
 commonly used data formats into this format.  References for methodology:
 Hill, Wichmann and Woodall (1987) <doi:10.1093/comjnl/30.3.277>, Hill, David
 (2006) <https://www.votingmatters.org.uk/ISSUE22/I22P2.pdf>, Mollison, Denis
 (2023) <arXiv:2303.15310>, (see also the package manual
 pref_pkg_manual.pdf).

Package: r-cran-prefer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmc, r-cran-entropy
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prefer_0.1.3-1.ca2004.1_all.deb
Size: 152492
MD5sum: fcaf5eb9f440372a44f77bd8c42549b1
SHA1: b3364f5ca1fddb71bd0b82455c0ad483df60ed65
SHA256: 205fd7a55e15ceef6a7897ac9349db778c4d83b5f5c66f17606b17ea9fccc2e6
SHA512: 118fb25a7de0beb2f1b841ac09f782030389aecac0e73ab939b37e1d2adc435a6efa5e4b4ffc549645b800c87745d7e36a225bb4dc6df20ea09f7c1bf978cc1c
Homepage: https://cran.r-project.org/package=prefeR
Description: CRAN Package 'prefeR' (R Package for Pairwise Preference Elicitation)
 Allows users to derive multi-objective weights from pairwise comparisons,
 which research shows is more repeatable, transparent, and intuitive other
 techniques. These weights can be rank existing alternatives or to define a
 multi-objective utility function for optimization.

Package: r-cran-preferably
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1958
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-pkgdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-preferably_0.4.1-1.ca2004.1_all.deb
Size: 1461936
MD5sum: a248247b84b56b13091b4abb4e6a3975
SHA1: fc438bef8e03495628f4498197e713394dff2c59
SHA256: 96f5a426b1e46fe70c356a0a7f9cbba99d2a120a7cda4a84076b2004257e9967
SHA512: 85e9f7fd4dff06453bf2fbb3f9190dc42825419250397350839ffd16a5dcf479f041365f2c22cb5acd8c0f63342bc5abac112902cf702306b7e9aa83f398a910
Homepage: https://cran.r-project.org/package=preferably
Description: CRAN Package 'preferably' (A 'pkgdown' Template)
 This is an accessible template for 'pkgdown'. It uses two bootstrap themes,
 Flatly and Darkly and utilizes the 'prefers-color-scheme' CSS variable to
 automatically serve either of the two based on user’s operating system
 setting, or allowing them to manually toggle between them.

Package: r-cran-preference
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-preference_1.1.6-1.ca2004.1_all.deb
Size: 146572
MD5sum: 2e4afd13529bdc5dc1ebcc31ba77249f
SHA1: 6200ae7df8c17c7202fd51eff57c211ab223eefe
SHA256: fbd5a25932c6f6b79ab94c24d55f704f6ff172d5b20981e33ccd9191c53c66c5
SHA512: c49bdb93f9cd5746aaac04234b4a6f24adc20db880b9421d2564a4f9eb405e3a1b162043a272c63e4507f4f490ce5946dd59baf68e50ff4f51544f3b0ba2b280
Homepage: https://cran.r-project.org/package=preference
Description: CRAN Package 'preference' (2-Stage Preference Trial Design and Analysis)
 Design and analyze two-stage randomized trials with a continuous outcome
 measure. The package contains functions to compute the required sample size
 needed to detect a given preference, treatment, and selection effect;
 alternatively, the package contains functions that can report the study
 power given a fixed sample size. Finally, analysis functions are provided to
 test each effect using either summary data (i.e. means, variances) or raw
 study data <doi:10.18637/jss.v094.c02>.

Package: r-cran-prefio
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prefio_0.1.1-1.ca2004.1_all.deb
Size: 106008
MD5sum: 1bdf46dc2e392617f7bc6718b241bd7c
SHA1: 55ecd7cb27f092535a5e27a98a7a2dd252de2f8f
SHA256: e46335899cc411e2328b0cb308dde57a17f70bc7ba0077ce75fc33160f2e4e61
SHA512: adaf7fd8fac9db5f054207045353238277357d4f94ede1b8feb4aef4974ea1f9b43f19de5ccded60dd11862fc953a88d7cda9bf8b6fcd807075a061d66c482a4
Homepage: https://cran.r-project.org/package=prefio
Description: CRAN Package 'prefio' (Structures for Preference Data)
 Convenient structures for creating, sourcing, reading, writing and
 manipulating ordinal preference data. Methods for writing to/from PrefLib
 formats. See Nicholas Mattei and Toby Walsh "PrefLib: A Library of
 Preference Data" (2013) <doi:10.1007/978-3-642-41575-3_20>.

Package: r-cran-preknitposthtmlrender
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-preknitposthtmlrender_0.1.0-1.ca2004.1_all.deb
Size: 36508
MD5sum: d4d39a69d3201d0c156a6940523a7d00
SHA1: a5e83d8525d30ff81f102dfd37e38100de0e108e
SHA256: c91b00f0751b55472145c64ada4acff5316b7a3d3d5eb359268929439492e8bd
SHA512: 1bff6fd3f69538696e8d8fb8a9ee3e6e30b7030e88ac4a221bc3b80ba40c84152d1a3b6988c870285a4784844fa24c3e8bb2bdf7ca1614c68e96e40fd6bf9f48
Homepage: https://cran.r-project.org/package=PreKnitPostHTMLRender
Description: CRAN Package 'PreKnitPostHTMLRender' (Pre-Knitting Processing and Post HTML-Rendering Processing)
 Dynamize headers or R code within 'Rmd' files to prevent proliferation of
 'Rmd' files for similar reports. Add in external HTML document within
 'rmarkdown' rendered HTML doc.

Package: r-cran-prenoms
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4065
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-prenoms_0.0.1-1.ca2004.1_all.deb
Size: 4110516
MD5sum: e741f57818b9057d9de615d1f5e52f83
SHA1: 44c374a5bf5c656ede8e295ea247499b1be97d00
SHA256: 1886283964de6e6c4d4476dfc2a5033c12e1303a8915a17abeb410768a260f84
SHA512: 29913b5d528a7f51ae429d55ce1651fa367eac616e49fad7ee09922201a3b12e04ecbfe8e1e5c27f8706080eaa6e8dfc0b0cfbe7eb9a3b4fcb0c4796d03a09a4
Homepage: https://cran.r-project.org/package=prenoms
Description: CRAN Package 'prenoms' (Names Given to Babies in Quebec Between 1980 and 2020)
 A database containing the names of the babies born in Quebec between 1980
 and 2020.

Package: r-cran-prepdat
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-reshape2, r-cran-psych
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prepdat_1.0.8-1.ca2004.1_all.deb
Size: 117752
MD5sum: d010e87dc0629593f0bbb70657b57e14
SHA1: 71365035569b566f4e52de8547d4a2df9aa73040
SHA256: 8e93679de934b069f1cd5c05e684aa003b60072c9dd92164e174e1b34399877e
SHA512: d6606177437c4de1fdecc07e9a6004ef8b2705bb71c553377a82c409147375ee9ac0918143aa03fcfb139085426c1fc1a4144b0852f39ab68f349e2bc61974e9
Homepage: https://cran.r-project.org/package=prepdat
Description: CRAN Package 'prepdat' (Preparing Experimental Data for Statistical Analysis)
 Prepares data for statistical analysis (e.g., analysis of variance ;ANOVA)
 by enabling the user to easily and quickly merge (using the file_merge()
 function) raw data files into one merged table and then aggregate the merged
 table (using the prep() function) into a finalized table while keeping track
 and summarizing every step of the preparation.  The finalized table contains
 several possibilities for dependent measures of the dependent variable. Most
 suitable when measuring variables in an interval or ratio scale (e.g.,
 reaction-times) and/or discrete values such as accuracy. Main functions
 included are file_merge() and prep(). The file_merge() function vertically
 merges individual data files (in a long format) in which each line is a
 single observation to one single dataset.  The prep() function aggregates
 the single dataset according to any combination of grouping variables (i.e.,
 between-subjects and within-subjects independent variables, respectively),
 and returns a data frame with a number of dependent measures for further
 analysis for each cell according to the combination of provided grouping
 variables. Dependent measures for each cell include among others means
 before and after rejecting all values according to a flexible standard
 deviation criteria, number of rejected values according to the flexible
 standard deviation criteria, proportions of rejected values according to the
 flexible standard deviation criteria, number of values before rejection,
 means after rejecting values according to procedures described in Van Selst
 & Jolicoeur (1994; suitable when measuring reaction-times), standard
 deviations, medians, means according to any percentile (e.g., 0.05, 0.25,
 0.75, 0.95) and harmonic means. The data frame prep() returns can also be
 exported as a txt file to be used for statistical analysis in other
 statistical programs.

Package: r-cran-prepdesigns
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-prepdesigns_1.2.0-1.ca2004.1_all.deb
Size: 70620
MD5sum: 69cf8a004710d4b7e5971ae0352666f0
SHA1: 41c2ab10bc928657c753a8304ad53559141efceb
SHA256: f84ab1fa980881b327506c7f13fe6d6544db350ca9171b6156c549ca704836e9
SHA512: 178f8249fba545d17e507f54a9f3f339dad30e2db2e62a8bacf7218bae4c1b976a61902a57751feaa2b05e78808dd65467fb7271d01ffc4b787fed737cdc5def
Homepage: https://cran.r-project.org/package=pRepDesigns
Description: CRAN Package 'pRepDesigns' (Partially Replicated (p-Rep) Designs)
 Early generation breeding trials are to be conducted in multiple
 environments where it may not be possible to replicate all the lines in each
 environment due to scarcity of resources. For such situations, partially
 replicated (p-Rep) designs have wide application potential as only a
 proportion of the test lines are replicated at each environment. A
 collection of several utility functions related to p-Rep designs have been
 developed. Here, the package contains six functions for a complete stepwise
 analytical study of these designs. Five functions pRep1(), pRep2(), pRep3(),
 pRep4() and pRep5(), are used to generate five new series of p-Rep designs
 and also compute average variance factors and canonical efficiency factors
 of generated designs. A fourth function NCEV() is used to generate incidence
 matrix (N), information matrix (C), canonical efficiency factor (E) and
 average variance factor (V).  This function is general in nature and can be
 used for studying the characterization properties of any block design. A
 construction procedure for p-Rep designs was given by Williams et al.(2011)
 <doi:10.1002/bimj.201000102> which was tedious and time consuming.  Here, in
 this package, five different methods have been given to generate p-Rep
 designs easily.

Package: r-cran-prepplot
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotrix, r-cran-shape
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gridbase
Filename: pool/dists/focal/main/r-cran-prepplot_1.0-2-1.ca2004.1_all.deb
Size: 343028
MD5sum: 62d60c5471b9c9610c3bc2882ced85ed
SHA1: 1f0359ca7c3e6def18995a82559cd6209183f76f
SHA256: d90bd310c74f60a44f7f53b70519d2b5f545956352ff619b037997eec5d898d6
SHA512: c2c1dbece3317553f58bab4a8d380a419ba032b7629fce30b4109d58f772326a9e217bc78be1697cc696807e4c6cbd35c809d86c4d2753d0912371d66932d26a
Homepage: https://cran.r-project.org/package=prepplot
Description: CRAN Package 'prepplot' (Prepare Figure Region for Base Graphics)
 A figure region is prepared, creating a plot region with suitable background
 color, grid lines or shadings, and providing axes and labeling if not
 suppressed. Subsequently, information carrying graphics elements can be
 added (points, lines, barplot with add=TRUE and so forth).

Package: r-cran-preprocess
Architecture: all
Version: 3.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oompabase
Filename: pool/dists/focal/main/r-cran-preprocess_3.1.9-1.ca2004.1_all.deb
Size: 392944
MD5sum: ca8b7d84b0810416490f900cdc0350e4
SHA1: d89b4d8456817993e44940324bd409c136982f58
SHA256: b3e50812e43b0e0958c49aab1ae4ce7c2817ee6340d5f465a64969e89335c598
SHA512: 7cec747f3bfbc99feb62c0fb1ae06a12d64b66fbe4baf21faf5b35edbe7bad52df74ae00d6d2521110a0db973987c0c1cc3baaad1bbfb8f4fbb22dc7a1ae3359
Homepage: https://cran.r-project.org/package=PreProcess
Description: CRAN Package 'PreProcess' (Basic Functions for Pre-Processing Microarrays)
 Provides classes to pre-process microarray gene expression data as part of
 the OOMPA collection of packages described at
 <http://oompa.r-forge.r-project.org/>.

Package: r-cran-preprocessing
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-preprocessing_0.1.0-1.ca2004.1_all.deb
Size: 16856
MD5sum: d4c5a4cb8ed3f7970d4130e89e3f7017
SHA1: b2caaca2d420f1310b508a3a71ad83f0db867f2f
SHA256: c088a2e889c4cf5f13dba2fdd49cdb13da320b16507694e4cc709903a0d46df5
SHA512: 6187ef4af2dcd94e2477ddfdb6e08ee9526ff556d2fd18b614c32a4c9b1df195279f3a4783e8c66272ed4e6b6b24b1c23178cb0cb30573efa24012c1a20d1843
Homepage: https://cran.r-project.org/package=PreProcessing
Description: CRAN Package 'PreProcessing' (Various Preprocessing Transformations of Numeric Data Matrices)
 Preprocess numeric data matrices into desired transformed representations.
 Standardization, Unitization, Cubitization and adaptive intervals are
 offered.

Package: r-cran-preprocessrecordlinkage
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tm, r-cran-syn, r-cran-recordlinkage, r-cran-data.table, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-preprocessrecordlinkage_1.0.1-1.ca2004.1_all.deb
Size: 36072
MD5sum: 68103da9fc1305b54c6b4c21be6a2948
SHA1: 38acaa29b39dfc1a533f3dcd1adc9f5a9461a1fc
SHA256: ecb8bf5b854357bfcdb377ce91115c8c1dba2df6d5330444931f04ddfc2644cf
SHA512: d80ee58665ca35994981912d09f4805edc56be4c50cc67d45bf34dcf71d6dd6b63bc25da5cde1b0ea8f3f7f7f0f042e7bebcb7e4d682f471aa0b5ab7c5f411bf
Homepage: https://cran.r-project.org/package=PreProcessRecordLinkage
Description: CRAN Package 'PreProcessRecordLinkage' (Preprocessing Record Linkage)
 In this record linkage package, data preprocessing has been meticulously
 executed to cover a wide range of datasets, ensuring that variable names are
 standardized using synonyms.  This approach facilitates seamless data
 integration and analysis across various datasets. While users have the
 flexibility to modify variable names, the system intelligently ensures that
 changes are only permitted when they do not compromise data consistency or
 essential variable essence.

Package: r-cran-prepshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-psycho, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-prepshiny_0.1.0-1.ca2004.1_all.deb
Size: 69336
MD5sum: d6c9cd8ba10ba2ed89e5f3be51bf0612
SHA1: fa036ed0c1305658fecd7e51ffa7edf810a4ff09
SHA256: acff95a3cf1d9ad3fa403f966dcc51588df4e46f6d8a538a8e2bf586ebca2583
SHA512: b005b5eb79030ea3348e805c93354bf4facbd8d3e551db3dd8a72478f4ca8df9eea09ab6c4432d2129a4328bd451d9b18e08d4d72a5cb693814a640f4482cd49
Homepage: https://cran.r-project.org/package=PREPShiny
Description: CRAN Package 'PREPShiny' (Interactive Document for Preprocessing the Dataset)
 An interactive document for preprocessing the dataset using 'rmarkdown' and
 'shiny' packages. Runtime examples are provided in the package function as
 well as at <https://analyticmodels.shinyapps.io/PREPShiny/>.

Package: r-cran-preputils
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-preputils_1.0.3-1.ca2004.1_all.deb
Size: 46000
MD5sum: 94363e05e40add27706447ab018ee564
SHA1: 6aba03846469d32948f2d4c3854c71864d5eb8c3
SHA256: 4e3256dd7adbd6effbd2d09dfad84fdc337dc04a1e5e9b8f6caf7f5deb421a71
SHA512: 9cf037c0c7b0f47205ff98702d0ff9a78304f9bb998008a53e6c4b2c31193c1617f1dbeed522198b3724d176d98992689f575a63e776dc6dfe9960589675971e
Homepage: https://cran.r-project.org/package=preputils
Description: CRAN Package 'preputils' (Utilities for Preparation of Data Analysis)
 Miscellaneous small utilities are provided to mitigate issues with messy,
 inconsistent or high dimensional data and help for preprocessing and
 preparing analyses.

Package: r-cran-prereg
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prereg_0.6.0-1.ca2004.1_all.deb
Size: 63476
MD5sum: 26f92162c90b399a116d58921cd739e1
SHA1: 542789375f907983b3ad5f8dce01bff86e727eee
SHA256: 3170a6a8237cac05f850f7c50171d66a3a452e7702a1e885e6d6872f736a01ad
SHA512: 90bd257fe1c449f80ed687b84a33ccbd726dfbd5fb82b67fd8e6638c71e5e82493404cbc2c31f1d6ae21c1fc3efd8611311afd74f3a7fd573e2d5e818402efda
Homepage: https://cran.r-project.org/package=prereg
Description: CRAN Package 'prereg' (R Markdown Templates to Preregister Scientific Studies)
 Provides a collection of templates to author preregistration documents for
 scientific studies in PDF format.

Package: r-cran-preregr
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4748
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-jsonlite, r-cran-rmdpartials, r-cran-yaml
Suggests: r-cran-googlesheets4, r-cran-haven, r-cran-justifier, r-cran-knitr, r-cran-openxlsx, r-cran-markdown, r-cran-readxl, r-cran-rvest, r-cran-testthat, r-cran-writexl, r-cran-xlconnect, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-preregr_0.2.9-1.ca2004.1_all.deb
Size: 718880
MD5sum: a0d8849bbb741f9142a6ebcdf35eacb5
SHA1: 3fd76563c830eb6bbecb9b42cd2d368588837430
SHA256: 9913f832c002b2d06576682b07118a924a20945670fec0b7830267753de9634e
SHA512: 9403ce618afba7c7963c695a655334689ba84d6df230b44a74e29e0f0c4cc568c4d407ccfac934951bfdc53bd6bd4cb0d88afeefe4b2af4642bf4e8a86995beb
Homepage: https://cran.r-project.org/package=preregr
Description: CRAN Package 'preregr' (Specify (Pre)Registrations and Export Them Human- AndMachine-Readably)
 Preregistrations, or more generally, registrations, enable explicit
 timestamped and (often but not necessarily publicly) frozen documentation of
 plans and expectations as well as decisions and justifications. In research,
 preregistrations are commonly used to clearly document plans and facilitate
 justifications of deviations from those plans, as well as decreasing the
 effects of publication bias by enabling identification of research that was
 conducted but not published.  Like reporting guidelines, (pre)registration
 forms often have specific structures that facilitate systematic reporting of
 important items. The 'preregr' package facilitates specifying
 (pre)registrations in R and exporting them to a human-readable format (using
 R Markdown partials or exporting to an 'HTML' file) as well as
 human-readable embedded data (using 'JSON'), as well as importing such
 exported (pre)registration specifications from such embedded 'JSON'.

Package: r-cran-presenceabsence
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-presenceabsence_1.1.11-1.ca2004.1_all.deb
Size: 305468
MD5sum: 937fc6f103db3c8bb74e69addddc0be6
SHA1: 77c54acad103a533baf715b362cfd3f9571eb186
SHA256: 7e07f338e181e1d2c73c142431a88fd3129d386ac9d4427889eac213907c8a70
SHA512: 20024666efef4d153cbbf53dfdb2d5a3e2a7ee7f3cd4bd777ce19116d499e6d3a90584c3b6e8fac7b537a9c25d808607bc15a94efd83e6da6b3c09e110d0a2d9
Homepage: https://cran.r-project.org/package=PresenceAbsence
Description: CRAN Package 'PresenceAbsence' (Presence-Absence Model Evaluation)
 Provides a set of functions useful when evaluating the results of
 presence-absence models. Package includes functions for calculating
 threshold dependent measures such as confusion matrices, pcc, sensitivity,
 specificity, and Kappa, and produces plots of each measure as the threshold
 is varied. It will calculate optimal threshold choice according to a choice
 of optimization criteria. It also includes functions to plot the threshold
 independent ROC curves along with the associated AUC (area under the curve).

Package: r-cran-presens
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-marelac, r-cran-measurements
Filename: pool/dists/focal/main/r-cran-presens_2.1.0-1.ca2004.1_all.deb
Size: 35244
MD5sum: 2b0d7975b1ffba1dee1acb0da47e6796
SHA1: 109ca62d6a2c8c71adda4b6285e1881b18c4a9f7
SHA256: 45a963676b699d3d14ede95ec6b01c97e3cb7686238f24844f853d880df645f5
SHA512: 344fd222b320af731fdc5f030f58e7894bc3fa41a2777ec30975233dd8173ddd87485c2bd5c3742ccf26659ff4d9d6461b6ae2e49c8dee10782c2485fb800e92
Homepage: https://cran.r-project.org/package=presens
Description: CRAN Package 'presens' (Interface for PreSens Fiber Optic Data)
 Makes output files from select PreSens Fiber Optic Oxygen Transmitters
 easier to work with in R. See <http://www.presens.de> for more information
 about PreSens (Precision Sensing GmbH). Note: this package is neither
 created nor maintained by PreSens.

Package: r-cran-presenter
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1190
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-flextable, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-purrr, r-cran-officer, r-cran-randomcolor, r-cran-tidyr, r-cran-openxlsx, r-cran-lubridate, r-cran-janitor, r-cran-tibble, r-cran-stringi, r-cran-berryfunctions, r-cran-rvg, r-cran-tidyselect, r-cran-formattable, r-cran-framecleaner
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-badger
Filename: pool/dists/focal/main/r-cran-presenter_0.1.2-1.ca2004.1_all.deb
Size: 625492
MD5sum: efbe4f31f252f61ad6912d5561719d15
SHA1: 139f3e3322c7f434e1f19f5d757806d77964e8aa
SHA256: 65c86da286201d4307f73818ae2c7fc3a0f9a2979775b46cf03cdcdee593cb33
SHA512: b409d1d2165ff5a230b472c7754628781e41ee4b455ac9ad03139e489baa29204899a64b1d9719510cb6d8f49bfe18a2c8293159a7bd18d6cea73370fa8fc3ab
Homepage: https://cran.r-project.org/package=presenter
Description: CRAN Package 'presenter' (Present Data with Style)
 Consists of custom wrapper functions using packages 'openxlsx', 'flextable',
 and 'officer' to create highly formatted MS office friendly output of your
 data frames.  These viewer friendly outputs are intended to match
 expectations of professional looking presentations in business and
 consulting scenarios. The functions are opinionated in the sense that they
 expect the input data frame to have certain properties in order to take
 advantage of the automated formatting.

Package: r-cran-presentes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1209
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-presentes_0.1.0-1.ca2004.1_all.deb
Size: 1199316
MD5sum: 6dc83b4921c2e7fcf4fca71a4dccfd06
SHA1: 7e73f7717a428709f38add735b00a060d4b63be9
SHA256: 861662403ccacbcd7e805d7059df60aa34ef11e973ef94ebe6198a81cd87b06d
SHA512: cbe8752ddec80e8dd3c0883d8f35c82197fec457fc76ede3f66bb4865c2aee9332dda2bcd9537abb42760394b281b1d0c2dd150ca23fe497b6505136ef69de18
Homepage: https://cran.r-project.org/package=presentes
Description: CRAN Package 'presentes' (Registry of Victims of State Terrorism in Argentina)
 Compilation and digitalization of the official registry of victims of state
 terrorism in Argentina during the last military coup. The original data
 comes from RUVTE-ILID (2019)
 <https://www.argentina.gob.ar/sitiosdememoria/ruvte/informe> and
 <http://basededatos.parquedelamemoria.org.ar/registros/>. The title,
 presentes, comes from present in spanish.

Package: r-cran-preseqr
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-preseqr_4.0.0-1.ca2004.1_all.deb
Size: 226120
MD5sum: 7a327b4c6a6d15dca6f597adcbefdb81
SHA1: c26844a3fd0f3d7c95ab4a0522f572a4adea3671
SHA256: 210af497d4b084e6d16fd21f2c5cada251e715481e9b71529e820f144fd701d4
SHA512: 40ac58060e9f220c251b393a55523bfb6e6e4a2071a362f4011fec65711dcb055eb035e8d6eba15e0764450884b6f8c90e906ce870534eabe31c240a9ea7777b
Homepage: https://cran.r-project.org/package=preseqR
Description: CRAN Package 'preseqR' (Predicting Species Accumulation Curves)
 Originally as an R version of Preseq <doi:10.1038/nmeth.2375>, the package
 has extended its functionality to predict the r-species accumulation curve
 (r-SAC), which is the number of species represented at least r times as a
 function of the sampling effort. When r = 1, the curve is known as the
 species accumulation curve, or the library complexity curve in
 high-throughput genomic sequencing. The package includes both parametric and
 nonparametric methods, as described by Deng C, et al. (2018)
 <arXiv:1607.02804v3>.

Package: r-cran-presiduals
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-formula, r-cran-rms, r-cran-sparsem
Suggests: r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-presiduals_1.0-1-1.ca2004.1_all.deb
Size: 227148
MD5sum: 5b478f324ec3bcb5f9e049cbceedc91f
SHA1: 463387dd20c571883c7fbd47515dd23a050beba3
SHA256: 1ec6a5c84fbc433af36e2877b5115ee2adedd3c0017cdc87726c7afbaf7df579
SHA512: edca2d20c44f4d1869959dd522664e6fac431c99db70b6d8012f6dcd221b02d8aac1b08f9919d1305c2ff3f6d865c01ad1fa11e23c578859d83c8af42658c321
Homepage: https://cran.r-project.org/package=PResiduals
Description: CRAN Package 'PResiduals' (Probability-Scale Residuals and Residual Correlations)
 Computes probability-scale residuals and residual correlations for
 continuous, ordinal, binary, count, and time-to-event data
 <doi:10.18637/jss.v094.i12>.

Package: r-cran-presize
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kappasize, r-cran-shiny
Suggests: r-cran-binom, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-hmisc, r-cran-knitr, r-cran-magrittr, r-cran-markdown, r-cran-rmarkdown, r-cran-shinydashboard, r-cran-shinytest, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-presize_0.3.7-1.ca2004.1_all.deb
Size: 405852
MD5sum: d84c529268c298ea904738a42bc78a32
SHA1: 592250c58dbc17feb77b1c821ea851918ddeea69
SHA256: 730f79fda136ec8d26d05d419597ea47d4bb5e307c34bd8870b52d0c29492bab
SHA512: 81ed20be8c5888249c33596c095be6bde4ca30c9da1071fb9892e3baa90948b38acb58a920fcbf07de108abd6f2171a4bcb21aec39276835f47b7b1305cfa149
Homepage: https://cran.r-project.org/package=presize
Description: CRAN Package 'presize' (Precision Based Sample Size Calculation)
 Bland (2009) <doi:10.1136/bmj.b3985> recommended to base study sizes on the
 width of the confidence interval rather the power of a statistical test. The
 goal of 'presize' is to provide functions for such precision based sample
 size calculations. For a given sample size, the functions will return the
 precision (width of the confidence interval), and vice versa.

Package: r-cran-presmtp
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survpresmooth, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-presmtp_1.1.0-1.ca2004.1_all.deb
Size: 56328
MD5sum: 10c90fe28ec2c3ec955975d9c7c17ef8
SHA1: 23ecef87eceefbc4bc4194d4bfe7bade76502252
SHA256: 30d265bd99a320d83cbf1bb06ed10d6637415f4fb96738f1390dfa7a3df56308
SHA512: 938a9364349d4c68cddccee82a8b7a533fe5ca8be7f7ad7b2e830fb923ae9141d5f1b14dbb4c0a320fbd4bea0b3d1a1ffdb1e9a51ecc0f0465a3e65c0cc0d700
Homepage: https://cran.r-project.org/package=presmTP
Description: CRAN Package 'presmTP' (Methods for Transition Probabilities)
 Provides a function for estimating the transition probabilities in an
 illness-death model.  The transition probabilities can be estimated from the
 unsmoothed landmark estimators developed by de Una-Alvarez and Meira-Machado
 (2015) <doi:10.1111/biom.12288>.  Presmoothed estimates can also be obtained
 through the use of a parametric family of binary regression curves, such as
 logit, probit or cauchit. The additive logistic regression model and
 nonparametric regression are also alternatives which have been implemented.
 The idea behind the presmoothed landmark estimators is to use the
 presmoothing techniques developed by Cao et al. (2005)
 <doi:10.1007/s00180-007-0076-6> in the landmark estimation of the transition
 probabilities.

Package: r-cran-presspurt
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-presspurt_1.0.2-1.ca2004.1_all.deb
Size: 183064
MD5sum: 7551caf8be755329bce7216d2ba016d5
SHA1: 4bf707ccf3b59d05133393cdef8fa82dae9ce033
SHA256: 54440affa9c7c282119c73f6137dea6bd74732166666a27b6dde79c8afc0b5f6
SHA512: a1efa46206441fcebba5c9f1ec1f9159acb131922035d04abf0ddf214c6556c2e0d1aaf4335e7dd6830d470f7e12875016b1091e3e47697a8e07dbc4c1a86ccb
Homepage: https://cran.r-project.org/package=PressPurt
Description: CRAN Package 'PressPurt' (Indeterminacy of Networks via Press Perturbations)
 This is a computational package designed to identify the most sensitive
 interactions within a network which must be estimated most accurately in
 order to produce qualitatively robust predictions to a press perturbation.
 This is accomplished by enumerating the number of sign switches (and their
 magnitude) in the net effects matrix when an edge experiences uncertainty.
 The package produces data and visualizations when uncertainty is associated
 to one or more edges in the network and according to a variety of
 distributions. The software requires the network to be described by a system
 of differential equations but only requires as input a numerical Jacobian
 matrix evaluated at an equilibrium point. This package is based on Koslicki,
 D., & Novak, M. (2017) <doi:10.1007/s00285-017-1163-0>.

Package: r-cran-pressure
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-dplyr, r-cran-gdistance, r-cran-ggmap, r-cran-ggplot2, r-cran-magick, r-cran-magrittr, r-cran-morpho, r-cran-pracma, r-cran-raster, r-cran-readxl, r-cran-rvcg, r-cran-scales, r-cran-sf, r-cran-stringr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-pressure_0.2.5-1.ca2004.1_all.deb
Size: 590512
MD5sum: 44c6f04c06c92aec3f82277ec2069f67
SHA1: 84709b721b37e3318ee6f766fcdc366f84adacde
SHA256: cc134692c81f4d6db87d67d4339cb7b18ea1499928da5a80c3479d9e49de2877
SHA512: 03e29e8e15472db7c0a37cf852b858830dd8027247b19a26450ca01e90c3f6eaaa5eac34d04ac0dc8525f74e3a78e067fa1771d5cfe691f27f81649d3b56793c
Homepage: https://cran.r-project.org/package=pressuRe
Description: CRAN Package 'pressuRe' (Imports, Processes, and Visualizes Biomechanical Pressure Data)
 Allows biomechanical pressure data from a range of systems to be imported
 and processed in a reproducible manner. Automatic and manual tools are
 included to let the user define regions (masks) to be analyzed. Also
 includes functions for visualizing and animating pressure data. Example
 methods are described in Shi et al., (2022)
 <doi:10.1038/s41598-022-19814-0>, Lee et al., (2014)
 <doi:10.1186/1757-1146-7-18>, van der Zward et al., (2014)
 <doi:10.1186/1757-1146-7-20>, Najafi et al., (2010)
 <doi:10.1016/j.gaitpost.2009.09.003>, Cavanagh and Rodgers (1987)
 <doi:10.1016/0021-9290(87)90255-7>.

Package: r-cran-pretest
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pretest_0.2-1.ca2004.1_all.deb
Size: 41384
MD5sum: 434c1e064cae0bb397362f8a0afe9d9d
SHA1: 26d420794c4844c21c64c36cdb469325f6b78c97
SHA256: 69219b92e1756fd2e68a5f90ab418cc91b1af6f9bbc7c903a5a99145b0b1d842
SHA512: 972cbf7b9b145a312fea069f681f77c89b27b9763ed9278e3dadf93f8340aa95ee2ce10b31e41755a6aa0107887481e7ebfdac5425854f2d3f41a37dc4586a8f
Homepage: https://cran.r-project.org/package=pretest
Description: CRAN Package 'pretest' (A Novel Approach to Predictive Accuracy Testing in NestedEnvironments)
 This repository contains the codes for using the predictive accuracy
 comparison tests developed in Pitarakis, J. (2023)
 <doi:10.1017/S0266466623000154>.

Package: r-cran-pretestcad
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-purrr, r-cran-tibble, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pretestcad_1.0.2-1.ca2004.1_all.deb
Size: 577684
MD5sum: b6340a6cf0e0bd84465c016efdbfb055
SHA1: 39be6e186af395ce056497cc4ea8c968f249d5e4
SHA256: 7cf7bfe4b2019ee72cfc43914ed38272b4639549434becae4c0a8c6ed6fa4ce2
SHA512: 5254b0607fef441f6092a78a597314b6bc0a54171fa3c27199c00ba57981a87ef36418653f325454ee142731265ed492cb231920efab75d5b59a70293048a50a
Homepage: https://cran.r-project.org/package=pretestcad
Description: CRAN Package 'pretestcad' (Pretest Probability for Coronary Artery Disease)
 An application to calculate a patient's pretest probability (PTP) for
 obstructive Coronary Artery Disease (CAD) from a collection of guidelines or
 studies. Guidelines usually comes from the American Heart Association (AHA),
 American College of Cardiology (ACC) or European Society of Cardiology
 (ESC). Examples of PTP scores that comes from studies are the 2020 Winther
 et al. basic, Risk Factor-weighted Clinical Likelihood (RF-CL) and Coronary
 Artery Calcium Score-weighted Clinical Likelihood (CACS-CL) models
 <doi:10.1016/j.jacc.2020.09.585>, 2019 Reeh et al. basic and clinical models
 <doi:10.1093/eurheartj/ehy806> and 2017 Fordyce et al. PROMISE Minimal-Risk
 Tool <doi:10.1001/jamacardio.2016.5501>.  As diagnosis of CAD involves a
 costly and invasive coronary angiography procedure for patients, having a
 reliable PTP for CAD helps doctors to make better decisions during patient
 management.  This ensures high risk patients can be diagnosed and treated
 early for CAD while avoiding unnecessary testing for low risk patients.

Package: r-cran-prettifyaddins
Architecture: all
Version: 2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5598
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chromote, r-cran-httr, r-cran-rstudioapi, r-cran-shiny, r-cran-webdriver, r-cran-xml2, r-cran-xrjulia
Suggests: r-cran-miniui, r-cran-shinyace, r-cran-shinythemes, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-prettifyaddins_2.6.1-1.ca2004.1_all.deb
Size: 1134408
MD5sum: ebcd09f7f50ea9ac516bc965f72a1f1a
SHA1: 308bf368d32d01c7ae1c7c2efd7ee3fe1029e51f
SHA256: fa07e86423e599f7e86e3a2016ea942b66b727799f1eef357f700e1a4f442c8c
SHA512: 54bda0d61dc06b4360777116dcbc5ae4ec731d8a7be0bc5a1348b53b0c1092ac1dd4728a4c76bc2e76e9e7330ee0b8bfeb3bbb2a75ba85f2116bde129b398e64
Homepage: https://cran.r-project.org/package=prettifyAddins
Description: CRAN Package 'prettifyAddins' ('RStudio' Addins to Prettify 'JavaScript', 'C++', 'Python', andMore)
 Provides 'RStudio' addins to prettify 'HTML', 'CSS', 'SCSS', 'JavaScript',
 'JSX', 'Markdown', 'C(++)', 'LaTeX', 'Python', 'Julia', 'XML', 'Java',
 'JSON', 'Ruby', and to reindent 'C(++)', 'Fortran', 'Java', 'Julia',
 'Python', 'SAS', 'Scala', 'Shell', 'SQL' and "TypeScript". Two kinds of
 addins are provided: 'Prettify' and 'Indent'. The 'Indent' addins only
 reindent the code, while the 'Prettify' addins also modify the code, e.g.
 trailing semi-colons are added to 'JavaScript' code when they are missing.

Package: r-cran-prettyb
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1444
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-prettyb_0.2.2-1.ca2004.1_all.deb
Size: 695944
MD5sum: 76f816751f9b3b7fe7d2f169b1678bdc
SHA1: 191e8ee7b9e49bd7d75fcc0b0a01cc8fba512d0a
SHA256: c877a35f332d31cdb7e61e379993991c1d9bafb86b358b088ef7d5f9944f6965
SHA512: b81315938cc0cfd00d2c340b365b4b058a188abcc708a1018cd38b0d0ae3d719c03f529c23be0781e1bdc6e574b49393a0dc97f9f7d8d14c19873937e704b2be
Homepage: https://cran.r-project.org/package=prettyB
Description: CRAN Package 'prettyB' (Pretty Base Graphics)
 Drop-in replacements for standard base graphics functions. The replacements
 are prettier versions of the originals.

Package: r-cran-prettycode
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon
Suggests: r-cran-covr, r-cran-mockery, r-cran-rstudioapi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-prettycode_1.1.0-1.ca2004.1_all.deb
Size: 243668
MD5sum: 90aaf9df845a3c497ef94bbf424b8d81
SHA1: 305142877060d89dc667d960588ddc2070bf5fd1
SHA256: 6cb0f9ee3863c030099312748f6625d4afb1e12aecec534989272a1ad9116719
SHA512: 845083be5d0460cf628fd890e74003c991e1d9a4b2da75f331479ebf037d4dc9c1e591ff05afd4567ee94616f204ce7a7685966fe791ec5cdc4935bd8710cdc5
Homepage: https://cran.r-project.org/package=prettycode
Description: CRAN Package 'prettycode' (Pretty Print R Code in the Terminal)
 Replace the standard print method for functions with one that performs
 syntax highlighting, using ANSI colors, if the terminal supports them.

Package: r-cran-prettycols
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prettycols_1.1.0-1.ca2004.1_all.deb
Size: 246368
MD5sum: e4ee205f5ab44190fff8a19175ff1afe
SHA1: 9f063b682ffa24f97e01d7e6fb1881af1e1cb047
SHA256: 3d5d3c3cfe527b2aab01418dec188d567aa30ada3ba107fcc204f6c83a03fe31
SHA512: 1cf9eea176a3601804c84a558972c48c5f9fe303bbfe1027a65b20266896e9d1b8ee0b809d19074646e1f50c75d229ccc2add0f4c876852a2c2ec396d779b512
Homepage: https://cran.r-project.org/package=PrettyCols
Description: CRAN Package 'PrettyCols' (Pretty Colour Palettes)
 Defines aesthetically pleasing colour palettes.

Package: r-cran-prettydoc
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1691
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-prettydoc_0.4.1-1.ca2004.1_all.deb
Size: 632392
MD5sum: ff3c1f192ee617059af27166147221d6
SHA1: c1f5e76d9bfa7d7ebdbccc5fc3adee1d988a2f0c
SHA256: 6195e791069324316c5ca80217e8749c54839da00b041f8464bf9f555932157e
SHA512: 0cdf3d8e5b87708eb05c636ec4201569c3ce7f91876c55c2c403ef292f4c1903787ef583489409f4ed94639148a8156c038cc7770e778f713f2993a35cea466c
Homepage: https://cran.r-project.org/package=prettydoc
Description: CRAN Package 'prettydoc' (Creating Pretty Documents from R Markdown)
 Creating tiny yet beautiful documents and vignettes from R Markdown. The
 package provides the 'html_pretty' output format as an alternative to the
 'html_document' and 'html_vignette' engines that convert R Markdown into
 HTML pages. Various themes and syntax highlight styles are supported.

Package: r-cran-prettyglm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3204
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-car, r-cran-dplyr, r-cran-forcats, r-cran-kableextra, r-cran-knitr, r-cran-plotly, r-cran-rcolorbrewer, r-cran-stringr, r-cran-tibble, r-cran-tidycat, r-cran-tidyr, r-cran-tidyselect, r-cran-vip
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prettyglm_1.0.1-1.ca2004.1_all.deb
Size: 2151056
MD5sum: 29c6b1290ca302f6837b405bffdf5d10
SHA1: 8503bf715705e8579d7b5640eae65d45694b8991
SHA256: a99ae7a32ed5e054e22cd80c1d7e0eae863fb8116f4af4204357010c0a3038cc
SHA512: 34b5d8a1a3cb7b58e4dcad095043328703c348c16d4d9349fece34eea179f4fa7e74f2c3d85f3da2d8cc84dbf3f7c5518b86346af087baced738e72ccecf21fb
Homepage: https://cran.r-project.org/package=prettyglm
Description: CRAN Package 'prettyglm' (Pretty Summaries of Generalized Linear Model Coefficients)
 One of the main advantages of using Generalised Linear Models is their
 interpretability.  The goal of 'prettyglm' is to provide a set of functions
 which easily create beautiful coefficient summaries which can readily be
 shared and explained. 'prettyglm' helps users create coefficient summaries
 which include categorical base levels, variable importance and type III
 p.values. 'prettyglm' also creates beautiful relativity plots for
 categorical, continuous and splined coefficients.

Package: r-cran-prettygraphs
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-prettygraphs_2.2.0-1.ca2004.1_all.deb
Size: 82904
MD5sum: dab5576daaf081ee8e48a872a96c94ed
SHA1: 697a0bbac76803654a60bc7813a13dc60af00efe
SHA256: 50618231cd14a5ddcc699497f85053705868dd66df676c455d850d3f9a5a23ce
SHA512: 8134d7e4fba8508d1d5872126c0dd86b313b810d5a221a27f5b4f4ada881fd86d4a38188f22119dcafbb3510c631dc6febc293139843dd135bcbbbbbca0afe6c
Homepage: https://cran.r-project.org/package=prettyGraphs
Description: CRAN Package 'prettyGraphs' (Publication-Quality Graphics)
 Simple and crisp publication-quality graphics for the ExPosition family of
 packages.  See An ExPosition of the Singular Value Decomposition in R
 (Beaton et al 2014) <doi:10.1016/j.csda.2013.11.006>.

Package: r-cran-prettymapr
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 954
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-rjson, r-cran-httr, r-cran-plyr
Suggests: r-cran-raster, r-cran-rosm, r-cran-sp
Filename: pool/dists/focal/main/r-cran-prettymapr_0.2.5-1.ca2004.1_all.deb
Size: 874116
MD5sum: b341d29c9506111dd30fea0345a7d37b
SHA1: 558999d263b5841d117118b514dfba5bfa0f1950
SHA256: 6129cb6e551b8bef9bce9ff29818c9e3b50fdacc60ae50a29a22969f85640681
SHA512: e6499e3b5c7bcb54c1affccd48c168a51ab574a0c6bec70696773858786bc3366ce61c2e603cba647989abd7ea34227250aa696c0c6a0ed55451d208464241ca
Homepage: https://cran.r-project.org/package=prettymapr
Description: CRAN Package 'prettymapr' (Scale Bar, North Arrow, and Pretty Margins in R)
 Automates the process of creating a scale bar and north arrow in any package
 that uses base graphics to plot in R. Bounding box tools help find and
 manipulate extents. Finally, there is a function to automate the process of
 setting margins, plotting the map, scale bar, and north arrow, and resetting
 graphic parameters upon completion.

Package: r-cran-prettyr
Architecture: all
Version: 2.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-prettyr_2.2-3-1.ca2004.1_all.deb
Size: 151700
MD5sum: 5807a1d54904ee3ef78c5dc1b8c4d5e4
SHA1: c828ca5ffaad7b410f8909d653be3cf17e260021
SHA256: a6cb652f763454bf043e8bf835d3379f60824a0fa399a5c69f94c009af5d17f5
SHA512: 601de1b601e60e302093da2dbeebdbf68f8c55efbafd1612ad35d32341314a97a14b66e67bdd11556c7566466ae7e604914170c2e79c63955781a95486bdd08d
Homepage: https://cran.r-project.org/package=prettyR
Description: CRAN Package 'prettyR' (Pretty Descriptive Stats)
 Functions for conventionally formatting descriptive stats, reshaping data
 frames and formatting R output as HTML.

Package: r-cran-prettyunits
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-codetools, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prettyunits_1.2.0-1.ca2004.1_all.deb
Size: 156184
MD5sum: 9dc21721b7710509dea2e9e87f0d16cc
SHA1: 6e520f4e40c77cbf50f4eb0f1aad234d3c906dc9
SHA256: ed723239b15540d3c3651838692443252ab279aef009929d388074e32f596bef
SHA512: b370e424a21c4ca9656de1abfd0fd73f1194f9cdca3aee78f9a5ce927c4ba159283f4f37a4bce598daa00449fa250e6e0d4db764fe8425fed81bf96d43d5c3b9
Homepage: https://cran.r-project.org/package=prettyunits
Description: CRAN Package 'prettyunits' (Pretty, Human Readable Formatting of Quantities)
 Pretty, human readable formatting of quantities.  Time intervals: '1337000'
 -> '15d 11h 23m 20s'.  Vague time intervals: '2674000' -> 'about a month
 ago'.  Bytes: '1337' -> '1.34 kB'.  Rounding: '99' with 3 significant digits
 -> '99.0' p-values: '0.00001' -> '<0.0001'.  Colors: '#FF0000' -> 'red'.
 Quantities: '1239437' -> '1.24 M'.

Package: r-cran-prevalence
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-coda, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-prevalence_0.4.1-1.ca2004.1_all.deb
Size: 334356
MD5sum: b9301654d75ab191e35760e5f79061aa
SHA1: 5d70a4a3d11de84d783a5b85bb4a381036d45ad2
SHA256: 2ca8a77d74fffa56db38d9cbb4bbde8a7bdee0518923ee11574cec595461fdd9
SHA512: 6eca78f1fdf3500f4df1f3633885e7aee64de1fbea1a7a27a83efbbc6d6e3425dad6d1eccbf704ea0335edcc9047e8f7f2069ca900f777324fee1fe1f5e7c1d9
Homepage: https://cran.r-project.org/package=prevalence
Description: CRAN Package 'prevalence' (Tools for Prevalence Assessment Studies)
 The prevalence package provides Frequentist and Bayesian methods for
 prevalence assessment studies. IMPORTANT: the truePrev functions in the
 prevalence package call on JAGS (Just Another Gibbs Sampler), which
 therefore has to be available on the user's system. JAGS can be downloaded
 from <https://mcmc-jags.sourceforge.io/>.

Package: r-cran-prevederer
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-prevederer_0.0.1-1.ca2004.1_all.deb
Size: 45836
MD5sum: fc97dcd71d9f608a3816fe77adc2a660
SHA1: cc86ad5496fd68cf72c92beb8a42af3fb6cf1a6c
SHA256: f62aacf3978a376ebd57cbd8f6a5b0babaf5f8855f9900a7cd20abfd2a38453d
SHA512: 64c7512ef9a0722d6132addea5d3ceebad59a8ee0823e8047b156f5901fcab3afc978fb4859dac98572773aca038dc0a4e9efacc103687d85a5fa6f1c4b87949
Homepage: https://cran.r-project.org/package=prevederer
Description: CRAN Package 'prevederer' (Wrapper for the 'Prevedere' API)
 Easy and efficient access to the API provided by 'Prevedere', an industry
 insights and predictive analytics company. Query and download indicators,
 models and workbenches built with 'Prevedere' for further analysis and
 reporting <https://www.prevedere.com/>.

Package: r-cran-preventr
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-data.table, r-cran-devtools, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-preventr_0.11.0-1.ca2004.1_all.deb
Size: 457120
MD5sum: 206347f9a2a60d57ac6b954de519268d
SHA1: 7a024b1e21f60812128d692f683cb6ef08ce3804
SHA256: 1010c9acdfdf87a64188efa3f6af1c528983e6601145516244a4f08cd0714eeb
SHA512: 96d664d372026dc02f7bfa16841f3abaac75a2d284886fd5d1c94a508d87e1607e581bac3563e0e87c98032a20e0ad3beb5efa5a6232395b600a2dd9543c57a7
Homepage: https://cran.r-project.org/package=preventr
Description: CRAN Package 'preventr' (An Implementation of the PREVENT and Pooled Cohort Equations)
 Implements the American Heart Association Predicting Risk of cardiovascular
 disease EVENTs (PREVENT) equations from Khan SS, Matsushita K, Sang Y, and
 colleagues (2023) <doi:10.1161/CIRCULATIONAHA.123.067626>, with optional
 comparison with their de facto predecessor, the Pooled Cohort Equations from
 the American Heart Association and American College of Cardiology (2013)
 <doi:10.1161/01.cir.0000437741.48606.98> and the revision to the Pooled
 Cohort Equations from Yadlowsky and colleagues (2018)
 <doi:10.7326/M17-3011>.

Package: r-cran-previsionio
Architecture: all
Version: 11.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-futile.logger, r-cran-httr, r-cran-jsonlite, r-cran-metrics, r-cran-xml, r-cran-magrittr, r-cran-plotly
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-previsionio_11.7.0-1.ca2004.1_all.deb
Size: 255668
MD5sum: 4772970844ac369151114e2a0105a6a6
SHA1: 1ff40cb60abf298dd2792ea6b6aa2caa2b0fdb2a
SHA256: 6b7b9bfe32f3a4471120564973033098a8f510c3388df6a868e2a9096d36d322
SHA512: 0aa34d346ceb5b1e7aa6c43615828b00210e2ab5d27b327eb62c18747686b31276bd9e4e393438dd8650ceaa75c0b1e4e64e907a91aa4825d6f0cc6a6c407b25
Homepage: https://cran.r-project.org/package=previsionio
Description: CRAN Package 'previsionio' ('Prevision.io' R SDK)
 For working with the 'Prevision.io' AI model management platform's API
 <https://prevision.io/>.

Package: r-cran-prevmap
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1466
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-raster, r-cran-pdist, r-cran-matrix, r-cran-splancs, r-cran-lme4, r-cran-truncnorm, r-cran-numderiv
Suggests: r-cran-geor, r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prevmap_1.5.4-1.ca2004.1_all.deb
Size: 1450188
MD5sum: f708305f9db3a3e02800a9dfe36f9ce7
SHA1: fda1c0489d48f181c276624a86d2f12a532b8a3c
SHA256: 264976daf7f074539b2511c03dc7543b01c53eadc5eb6dfec847c9dcee2ece68
SHA512: 50c5ca52d45a7fae75f3ea6796cff844107264f2c65cb06db574031337e8384628dde33318f0bd52f39be02d6f572852370eaa555b9fed2219a54a15443bbcf2
Homepage: https://cran.r-project.org/package=PrevMap
Description: CRAN Package 'PrevMap' (Geostatistical Modelling of Spatially Referenced Prevalence Data)
 Provides functions for both likelihood-based and Bayesian analysis of
 spatially referenced prevalence data. For a tutorial on the use of the R
 package, see Giorgi and Diggle (2017) <doi:10.18637/jss.v078.i08>.

Package: r-cran-prevr
Architecture: all
Version: 5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4323
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-directlabels, r-cran-ggplot2, r-cran-gstat, r-cran-kernsmooth, r-cran-fields, r-cran-foreign, r-cran-sf, r-cran-stars
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-terra
Filename: pool/dists/focal/main/r-cran-prevr_5.0.0-1.ca2004.1_all.deb
Size: 4151024
MD5sum: 944ad68686818b78c19125fa5acd7203
SHA1: f8bdf0ecd6bb910b1fdcfefa9d40dd687669d805
SHA256: 4c18d748d42e1bd9b31915d304169d634e6d922aa743a6656beb886f57782432
SHA512: d7dcccdda44d3f470e870deda4623dcbf7b6abb9e7b95841727c318a8eeb9abe37498108319f2edcae9026da7fc20e14084daafc50b9f8f83ef7424b617326d4
Homepage: https://cran.r-project.org/package=prevR
Description: CRAN Package 'prevR' (Estimating Regional Trends of a Prevalence from a DHS andSimilar Surveys)
 Spatial estimation of a prevalence surface or a relative risks surface,
 using data from a Demographic and Health Survey (DHS) or an analog survey,
 see Larmarange et al. (2011) <doi:10.4000/cybergeo.24606>.

Package: r-cran-prevtoinc
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tibble, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-gridextra, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-prevtoinc_0.12.0-1.ca2004.1_all.deb
Size: 110324
MD5sum: f69f868fea59db984c493b10234c5f3b
SHA1: 152ec22e44d6d3115ee954e8a37ed6fb8f6ba6ce
SHA256: d64d650d49008b0ad9791f3910680c0af998089805453eaeea109a2e06c2d3fb
SHA512: 238a1ae0b33df68626843c2381a8db0d16c2b36c3db7a35a65f5767e49d8abba681a657825160891279d72a2d8265b70e13e02f0310d673dfe37635e41f63a2f
Homepage: https://cran.r-project.org/package=prevtoinc
Description: CRAN Package 'prevtoinc' (Prevalence to Incidence Calculations for Point-PrevalenceStudies in a Nosocomial Setting)
 Functions to simulate point prevalence studies (PPSs) of
 healthcare-associated infections (HAIs) and to convert prevalence to
 incidence in steady state setups.  Companion package to the preprint
 Willrich et al., From prevalence to incidence - a new approach in the
 hospital setting; <doi:10.1101/554725> , where methods are explained in
 detail.

Package: r-cran-prewas
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-future, r-cran-future.apply, r-cran-phangorn, r-cran-vcfr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prewas_1.1.1-1.ca2004.1_all.deb
Size: 789132
MD5sum: 6f66e31954df9fcf78385255be30c32e
SHA1: 6dc23d03f01527cb0cffc8c2478e6cfa5b6baa97
SHA256: aba1014902df51cd965d3029e42feb1abac13f9bec723ae1f180384e0faa53ce
SHA512: bd8bd20aee592cafc3b4ba4f3716ca62f79421bb10c10d2b2d5cd949027eefba42a61ef1cee22305fd4ebdfd61f7f85f58b5d44d6775dbb72f7d7b9db5c7e911
Homepage: https://cran.r-project.org/package=prewas
Description: CRAN Package 'prewas' (Data Pre-Processing for Bacterial Genome-Wide AssociationStudies)
 Standardize the pre-processing of genomic variants before performing a
 bacterial genome-wide association study (bGWAS). 'prewas' creates a variant
 matrix (where each row is a variant, each column is a sample, and the
 entries are presence - 1 - or absence - 0 - of the variant) that can be used
 as input for bGWAS tools. When creating the binary variant matrix, 'prewas'
 can perform 3 pre-processing steps including: dealing with multiallelic
 SNPs, (optional) dealing with SNPs in overlapping genes, and choosing a
 reference allele. 'prewas' can output matrices for use with both SNP-based
 bGWAS and gene-based bGWAS. This method is described in Saund et al. (2020)
 <doi:10.1099/mgen.0.000368>. 'prewas' can also provide gene matrices for
 variants with specific annotations from the 'SnpEff' software (Cingolani et
 al. 2012).

Package: r-cran-prf
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-permute, r-cran-randomforest, r-cran-reshape2, r-cran-dplyr, r-bioc-multtest
Filename: pool/dists/focal/main/r-cran-prf_1.2-1.ca2004.1_all.deb
Size: 27572
MD5sum: 591891bc801a816bc9e0e2e9dbeeb680
SHA1: ac455f71e33f63fad38d3424e6555855b5ce769c
SHA256: 9f41059e5ae2414cd86e43c2d074c4b711908c4f45ab29cf8fff05ad27b7773b
SHA512: f03900f20856aab79d012df99293f526d8e69089863fd1fe81f5de0f70ab3edc03ecd315fa54eaf18d8b469720ab2c0c8d8a6e3be8a7cf646b84a8faac1a311e
Homepage: https://cran.r-project.org/package=pRF
Description: CRAN Package 'pRF' (Permutation Significance for Random Forests)
 Estimate False Discovery Rates (FDRs) for importance metrics from random
 forest runs.

Package: r-cran-priceindices
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2523
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape, r-cran-reclin2, r-cran-stringr, r-cran-xgboost, r-cran-caret, r-cran-strex
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-priceindices_0.2.3-1.ca2004.1_all.deb
Size: 1999552
MD5sum: a9efcbe31900e65302b6b9ea28f6bb6d
SHA1: 7578df03f0c6bd8a0f209e68fb8ec1e384e8d306
SHA256: 25dbf593176e791fe378319a1250260e71625383a0b386d9d476ba9e1b3d1003
SHA512: be53f7b611931bfcebd55e67adefe1d8c95f4b32790f3ae643ae7cc0eef393ed2a09fb4be2763122cd38dd1af63c8392f6f2999caa821c38e7d8a322d3e6e6ad
Homepage: https://cran.r-project.org/package=PriceIndices
Description: CRAN Package 'PriceIndices' (Calculating Bilateral and Multilateral Price Indexes)
 Preparing a scanner data set for price dynamics calculations (data
 selecting, data classification, data matching, data filtering). Computing
 bilateral and multilateral indexes. For details on these methods see:
 Diewert and Fox (2020) <doi:10.1080/07350015.2020.1816176>, Białek (2019)
 <doi:10.2478/jos-2019-0014> or Białek (2020) <doi:10.2478/jos-2020-0037>.

Package: r-cran-pricelevels
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-minpack.lm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pricelevels_1.3.0-1.ca2004.1_all.deb
Size: 268832
MD5sum: 68653cb00bb012e41ca8b54ebbea77d1
SHA1: 4675d99c0747648481214c82b63a299a4f9370df
SHA256: 5f5a9bf1606c263c3da72d69358cdf9d03ec657b3e89639471497ab6e5d83e5e
SHA512: 9f4f987e58779d9e6c7d3101abd68f95afa5a1558a2b202fe5c7ae688cb17d97d532266798999bf75911fb062a963d4f468d93eaf4f2e9c28246afaada14cc56
Homepage: https://cran.r-project.org/package=pricelevels
Description: CRAN Package 'pricelevels' (Spatial Price Level Comparisons)
 Price comparisons within or between countries provide an overall measure of
 the relative difference in prices, often denoted as price levels. This
 package provides index number methods for such price comparisons (e.g., The
 World Bank, 2011, <doi:10.1596/978-0-8213-9728-2>). Moreover, it contains
 functions for sampling and characterizing price data.

Package: r-cran-pricer
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gsubfn, r-cran-stringr, r-cran-purrr, r-cran-jsonlite, r-cran-lubridate, r-cran-stringi, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pricer_1.0.2-1.ca2004.1_all.deb
Size: 135344
MD5sum: 5e453b2523789ae27e0d99e1706dfacf
SHA1: 38276cad682ec7551cfecdf39cfa9c2f6e32c2be
SHA256: 8f222d1fd8ca6ddae5d26f88d0c3ed46cb02841d22d7c7f1f1db524230a07e20
SHA512: 1fb2bdcdc384133dd23155e468c701de526af2f025263993366ee08be58c26098b10298a0f1f9a66fe308f06a9808e78d8f5c3e07784187d7ff9c2b6c03939c9
Homepage: https://cran.r-project.org/package=priceR
Description: CRAN Package 'priceR' (Economics and Pricing Tools)
 Functions to aid in micro and macro economic analysis and handling of price
 and currency data. Includes extraction of relevant inflation and exchange
 rate data from World Bank API, data cleaning/parsing, and standardisation.
 Inflation adjustment calculations as found in Principles of Macroeconomics
 by Gregory Mankiw et al (2014). Current and historical end of day exchange
 rates for 171 currencies from the European Central Bank Statistical Data
 Warehouse (2020) <https://sdw.ecb.europa.eu/curConverter.do>.

Package: r-cran-pricesensitivitymeter
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pricesensitivitymeter_1.3.0-1.ca2004.1_all.deb
Size: 208292
MD5sum: 1467f56841550708a64b2a3dac5931be
SHA1: c5c4b26409ed3cd6139dd9a8b4d5ae6caacc49bd
SHA256: 326a08ec2702106e11e4230e1affe751cb8b9c7205048b45244adae0f9689e2d
SHA512: 21076f1deaf9482a65915716e8adf1914352509aa8a7070d39ecacbcdd9cd02e0bef3feecc24a87427ce825139b16e5956602193542eaf0df9ba4c259893f9f5
Homepage: https://cran.r-project.org/package=pricesensitivitymeter
Description: CRAN Package 'pricesensitivitymeter' (Van Westendorp Price Sensitivity Meter Analysis)
 An implementation of the van Westendorp Price Sensitivity Meter in R, which
 is a survey-based approach to analyze consumer price preferences and
 sensitivity (van Westendorp 1976, isbn:9789283100386).

Package: r-cran-prim
Architecture: all
Version: 1.0.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scales, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-prim_1.0.22-1.ca2004.1_all.deb
Size: 369032
MD5sum: ac46704929bdbb1a3a79e4630033a4a1
SHA1: cce1e7b6691f240119d937a29f1b27b75f7a71e9
SHA256: 2035e6f50340f23924e517a109f12f06a714f30e22392f3a77f8fbf635f7b719
SHA512: 03d837e90b4b00bf5cf2d3e67afaffd99413495fdad2185d7d1c89e74ae56311f39cae8f0b68b8ae337f1e65357ac1fd6785e6ac631588009f6b7c560729a2f6
Homepage: https://cran.r-project.org/package=prim
Description: CRAN Package 'prim' (Patient Rule Induction Method (PRIM))
 Patient Rule Induction Method (PRIM) for bump hunting in high-dimensional
 data.

Package: r-cran-primarycensored
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2862
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lifecycle, r-cran-pracma, r-cran-rlang
Suggests: r-cran-bookdown, r-cran-dplyr, r-cran-fitdistrplus, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-primarycensored_1.2.0-1.ca2004.1_all.deb
Size: 699872
MD5sum: 1768f275acba5893495474ebd12260a5
SHA1: 380aeffdb2c7967181283fc984666bcb8f2c69d4
SHA256: 0c063c7a74b3bd77947bc325eeb4d40296092721b58b3f08a9acfc70fc81ef2c
SHA512: d013295d9bbed8b7520ebe9ea2a6f3f4b8338db06dfc3a3be6a8afb83fc50798c62bfef53ec8bbad48e5e1fc26dc1f83864874ec860dd2624b9f628cb78ffb47
Homepage: https://cran.r-project.org/package=primarycensored
Description: CRAN Package 'primarycensored' (Primary Event Censored Distributions)
 Provides functions for working with primary event censored distributions and
 'Stan' implementations for use in Bayesian modeling. Primary event censored
 distributions are useful for modeling delayed reporting scenarios in
 epidemiology and other fields (Charniga et al. (2024)
 <doi:10.48550/arXiv.2405.08841>). It also provides support for arbitrary
 delay distributions, a range of common primary distributions, and allows for
 truncation and secondary event censoring to be accounted for (Park et al.
 (2024) <doi:10.1101/2024.01.12.24301247>). A subset of common distributions
 also have analytical solutions implemented, allowing for faster computation.
 In addition, it provides multiple methods for fitting primary event censored
 distributions to data via optional dependencies.

Package: r-cran-primate
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1577
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caroline
Suggests: r-cran-rjdbc
Filename: pool/dists/focal/main/r-cran-primate_0.2.0-1.ca2004.1_all.deb
Size: 625308
MD5sum: 5d5f39588aef0a86728d040829f92b61
SHA1: 1c8f3a11b7630054a7b824799778af5e01ee2e3b
SHA256: c0180c87dff2c271dad3ba5aa10f98b19e5b7bc808da60fd82d82fa7f5e34091
SHA512: 132cbb13850a4a0ac7b7918a79d223abc09279363032d6d9374c70f70efe07e6a778be2a93571c0ae72354b2413afc73ccbf48032a6d85ccd55bd175cf951945
Homepage: https://cran.r-project.org/package=primate
Description: CRAN Package 'primate' (Tools and Methods for Primatological Data Science)
 Data from All the World's Primates relational SQL database and other tabular
 datasets are made available via drivers and connection functions.
 Additionally we provide several functions and examples to facilitate the
 merging and aggregation of these tabular inputs.

Package: r-cran-primefactr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-primefactr_0.1.1-1.ca2004.1_all.deb
Size: 19804
MD5sum: bb9b62e4b02950677fca3334182df8ab
SHA1: 7fce809f67df9cae85613c892bf572e27e999a3c
SHA256: cbfd384d9209d22a755b0ac926466f4e1e57d0e4ae8481da372c6ad575f82c04
SHA512: 784b3d97df3f684cd9ce4398a9816ce012860aeeb6e20e1a6ce9aae10ca4e71de5794de50e14fe70414d3e334625d2d4d933e8d7316989c5918237e49b9dfd8a
Homepage: https://cran.r-project.org/package=primefactr
Description: CRAN Package 'primefactr' (Use Prime Factorization for Computations)
 Use Prime Factorization for simplifying computations, for instance for
 ratios of large factorials.

Package: r-cran-primepca
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-softimpute, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-primepca_1.2-1.ca2004.1_all.deb
Size: 35096
MD5sum: c543f3a8449489eeea10aae15d581c95
SHA1: 477b878254a869fb0999f75eaf12d7d4bdb5c303
SHA256: 50c912d55242da17de168fce8a9f0fb8f75abd8f5f95ec21c7b400b79f4be090
SHA512: 5b8eaa3052373ecb51840204dc46fdd88120db89559a8a9278ac46687b54771a4501119f43f2c4aaa281e9c28cf43c23eee60d0659dea2ce0c642dd6dd420633
Homepage: https://cran.r-project.org/package=primePCA
Description: CRAN Package 'primePCA' (Projected Refinement for Imputation of Missing Entries in PCA)
 Implements the primePCA algorithm, developed and analysed in Zhu, Z., Wang,
 T. and Samworth, R. J. (2019) High-dimensional principal component analysis
 with heterogeneous missingness. <arXiv:1906.12125>.

Package: r-cran-primer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-bbmle, r-cran-bipartite, r-cran-cowplot, r-cran-data.table, r-cran-diagram, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-gdata, r-cran-igraph, r-cran-lavaan, r-cran-magrittr, r-cran-nlme, r-cran-phaser, r-cran-vegan, r-cran-reshape2, r-cran-rarpack, r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-primer_1.2.0-1.ca2004.1_all.deb
Size: 331692
MD5sum: 3849de84c9d768112f34f76332601043
SHA1: ca219d67ad1eaf527f2420b19db4e051af50f48d
SHA256: 57bb63c3ccf16f5d2dc3e482ae566e32579f27db34fa502646f507294952aca3
SHA512: 0a682516bae4c38eff3db1828b488bb88a7c76b1adc06740f79af65df52c6793e7545349c9a29788edc83beab18c1466275e25a9ac89327f650e1353fbf1a0e6
Homepage: https://cran.r-project.org/package=primer
Description: CRAN Package 'primer' (Functions and Data for the Book, a Primer of Ecology with R)
 Functions are primarily functions for systems of ordinary differential
 equations, difference equations, and eigenanalysis and projection of
 demographic matrices; data are for examples.

Package: r-cran-prindt
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-party, r-cran-splitstackshape, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-prindt_1.0.1-1.ca2004.1_all.deb
Size: 183852
MD5sum: 9e2fa525a2ae627495661290af5be83e
SHA1: 58cfa8074d6a76354d7a887b75ea6667a4a4e6ee
SHA256: 12db1af55403e150def10b31d20a916f37dbe6887895010b1d0aeae1e59e43b2
SHA512: c3d255d3a28d5b8742a8531145d8ab66fedeccbb33bcaae9dcd28c127aad6517781e1e6f92585542beaa98127095babe8695f492a4de09a2db544165338aef38
Homepage: https://cran.r-project.org/package=PrInDT
Description: CRAN Package 'PrInDT' (Prediction and Interpretation in Decision Trees forClassification and Regression)
 Optimization of conditional inference trees from the package 'party' for
 classification and regression.  For optimization, the model space is
 searched for the best tree on the full sample by means of repeated
 subsampling. Restrictions are allowed so that only trees are accepted which
 do not include pre-specified uninterpretable split results (cf. Weihs &
 Buschfeld, 2021a).  The function PrInDT() represents the basic resampling
 loop for 2-class classification (cf. Weihs & Buschfeld, 2021a). The function
 RePrInDT() (repeated PrInDT()) allows for repeated applications of PrInDT()
 for different percentages of the observations of the large and the small
 classes (cf. Weihs & Buschfeld, 2021c). The function NesPrInDT() (nested
 PrInDT()) allows for an extra layer of subsampling for a specific factor
 variable (cf. Weihs & Buschfeld, 2021b). The functions PrInDTMulev() and
 PrInDTMulab() deal with multilevel and multilabel classification. In
 addition to these PrInDT() variants for classification, the function
 PrInDTreg() has been developed for regression problems. Finally, the
 function PostPrInDT() allows for a posterior analysis of the distribution of
 a specified variable in the terminal nodes of a given tree.  References are:
 -- Weihs, C., Buschfeld, S. (2021a) "Combining Prediction and Interpretation
 in Decision Trees (PrInDT) - a Linguistic Example" <arXiv:2103.02336>; --
 Weihs, C., Buschfeld, S. (2021b) "NesPrInDT: Nested undersampling in PrInDT"
 <arXiv:2103.14931>; -- Weihs, C., Buschfeld, S. (2021c) "Repeated
 undersampling in PrInDT (RePrInDT): Variation in undersampling and
 prediction, and ranking of predictors in ensembles" <arXiv:2108.05129>.

Package: r-cran-prinsimp
Architecture: all
Version: 0.8-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 368
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-prinsimp_0.8-8-1.ca2004.1_all.deb
Size: 306236
MD5sum: 0d891a8fa1c45fec5c341f23146f5cc7
SHA1: 2667bd25d3948093969d3a2c431dc87e38f19a6c
SHA256: a6d36b4d5abc0622142f23e9720cc853bcad59222f03d3bec3b90a9af8e27ee8
SHA512: 07d9c59f54ea12d9d98acf46157dbb7b9c817275da226912ab09c7287f0606113f13703be96fac7a98f5219093d358c2192861a4cc7939209de8fe80a39e2d02
Homepage: https://cran.r-project.org/package=prinsimp
Description: CRAN Package 'prinsimp' (Finding and plotting simple basis vectors for multivariate data)
 Provides capabilities beyond principal components analysis to focus on
 finding structure in low variability subspaces. Constructs and plots simple
 basis vectors for pre-defined and user-defined measures of simplicity.

Package: r-cran-prinsurf
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 561
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgl
Suggests: r-cran-matrix, r-cran-akima, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prinsurf_1.0-1.ca2004.1_all.deb
Size: 216184
MD5sum: d385cccaf87ce7e3ba43bb6d0736822d
SHA1: 51226c48cb45662595e27d4642e5060bada68bed
SHA256: 7d3d22f23c63009e6caa8f428e6384d1821493c7041f569baca03d9b288323d9
SHA512: d8cbabec5fcfad3f4c51308f11b4cea81aa65a209e4a6ad1b6f38ec3095adfdee7ba770ab5676bf7af11744bba3e0aceedc6bc52f4e8bfa1781522d6fc37af1e
Homepage: https://cran.r-project.org/package=prinsurf
Description: CRAN Package 'prinsurf' (Constructs Principal Surfaces)
 Construct a principal surface that are two-dimensional surfaces that pass
 through the middle of a p-dimensional data set. They minimise the distance
 from the data points, and provide a nonlinear summary of data. The surfaces
 are nonparametric and their shape is suggested by the data. The formation of
 a surface is found using an iterative procedure which starts with a linear
 summary, typically with a principal component plane. Each successive
 iteration is a local average of the p-dimensional points, where an average
 is based on a projection of a point onto the nonlinear surface of the
 previous iteration. For more information on principal surfaces, see Ganey,
 R. (2019,
 "https://open.uct.ac.za/items/4e655d7d-d10c-481b-9ccc-801903aebfc8").

Package: r-cran-printr
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-printr_0.3-1.ca2004.1_all.deb
Size: 33492
MD5sum: ca4061f25686edde9366efe0e86cee12
SHA1: e96b988eb8aca1bea3e1f3ac4bddf56561d3ebb4
SHA256: 2569d6cd00477c1394d31e8914b66df2c316407734e0571c6febee0e58fbbf63
SHA512: bdb7bc9d26970f3dee51ecbedd0c6ce54d886a0899fd3f8308da25b67548bc710665822aaa91c8c7a2c08c8925340a43d115b61fe30152304665be075fd158f0
Homepage: https://cran.r-project.org/package=printr
Description: CRAN Package 'printr' (Automatically Print R Objects to Appropriate Formats Accordingto the 'knitr' Output Format)
 Extends the S3 generic function knit_print() in 'knitr' to automatically
 print some objects using an appropriate format such as Markdown or LaTeX.
 For example, data frames are automatically printed as tables, and the help()
 pages can also be rendered in 'knitr' documents.

Package: r-cran-prinvars
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack, r-cran-elasticnet, r-cran-pma
Suggests: r-cran-testthat, r-cran-aer
Filename: pool/dists/focal/main/r-cran-prinvars_1.0.0-1.ca2004.1_all.deb
Size: 165524
MD5sum: 87993b4e1c94f5fd9889553b5d50046f
SHA1: f9855481c9b922c80d52d136d8a12d05ac76ab9e
SHA256: 6791892ce5c9260e74c32e6973f60148ffa64b94a28273ca768b8851346e9029
SHA512: 711fbb0e298beb28ae1d4e7e5383ee3b29d87edf04d6028974860610185a8c083393e1201a215ef571e4bca3d186b25098f50c603782add2897d8383f5f4ba5a
Homepage: https://cran.r-project.org/package=prinvars
Description: CRAN Package 'prinvars' (Principal Variables)
 Provides methods for reducing the number of features within a data set. See
 Bauer JO (2021) <doi:10.1145/3475827.3475832> and Bauer JO, Drabant B (2021)
 <doi:10.1016/j.jmva.2021.104754> for more information on principal loading
 analysis.

Package: r-cran-priogene
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-annotationdbi, r-bioc-org.hs.eg.db
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-priogene_1.0.1-1.ca2004.1_all.deb
Size: 2912868
MD5sum: 6fde4d6cb0f86e21256c986282135734
SHA1: ea460e0a40dece16e0b32a8178c6f1e2c18e1fa2
SHA256: 7629ed43aea658119ef4568b59b61b00776e2e5e599a2a884942ca83075f8d4c
SHA512: 73682de88a446c2c215958086bfa97f567f5f4892a2a480a717e9c576965a49f53042b383da6b8b60b861f4dea037ff768eac72d51d84ed832a947507b3e83ed
Homepage: https://cran.r-project.org/package=prioGene
Description: CRAN Package 'prioGene' (Candidate Gene Prioritization for Non-Communicable DiseasesBased on Functional Information)
 In gene sequencing methods, the topological features of protein-protein
 interaction (PPI) networks are often used, such as ToppNet
 <https://toppgene.cchmc.org>. In this study, a candidate gene prioritization
 method was proposed for non-communicable diseases considering disease risks
 transferred between genes in weighted disease PPI networks with weights for
 nodes and edges based on functional information.

Package: r-cran-prior3d
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prioritizr, r-cran-terra, r-cran-maps, r-cran-highs, r-cran-viridis, r-cran-readxl, r-cran-rasterdiv, r-cran-geodiv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prior3d_0.1.5-1.ca2004.1_all.deb
Size: 2813388
MD5sum: 13a975c27b946c443cf13ebe8158c3ee
SHA1: 8f82d91ed61d9e375c63997399bd7da99cb87341
SHA256: 479e393d40468e5d221ca8d0d88dddc34f99a305ebeded760dad2406020138a4
SHA512: 69e1d6ca14cd33919c448dc3efd14b3c2997d0d9e485f5a5e7133cb75f457e463ee5744c94fae07f3156823d9ede2a04dc0fb6d423ce4737b59f3033469cb0dd
Homepage: https://cran.r-project.org/package=prior3D
Description: CRAN Package 'prior3D' (3D Prioritization Algorithm)
 Three-dimensional systematic conservation planning, conducting nested
 prioritization analyses across multiple depth levels and ensuring efficient
 resource allocation throughout the water column.  It provides a structured
 workflow designed to address biodiversity conservation and management
 challenges in the 3 dimensions, while facilitating users’ choices and
 parameterization (Doxa et al. 2025 <doi:10.1016/j.ecolmodel.2024.110919>).

Package: r-cran-priorcd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1621
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-dplyr, r-cran-rocr, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-priorcd_0.1.0-1.ca2004.1_all.deb
Size: 1460100
MD5sum: ad3c361b47687c528de363cba1b8cf02
SHA1: 844b9fe84f94fe898048b2818c0b5096c6604415
SHA256: f155e68483d693a7fd387ea992624026bb668986cbd83983acecc325e40b91c9
SHA512: 67f72d8ad6809bf6f2f742dff5480fc0d78cad0dc0199aee6d19596c73216e5575333d40873f9f3bb0d74fd34ab3ecffa63ec8249821c59f2cd5f167615a4c26
Homepage: https://cran.r-project.org/package=PriorCD
Description: CRAN Package 'PriorCD' (Prioritizing Cancer Drugs for Interested Cancer)
 Prioritize candidate cancer drugs for drug repositioning based on the random
 walk with restart algorithm in a drug-drug functional similarity network. 1)
 We firstly constructed a drug-drug functional similarity network by
 integrating pathway activity and drug activity derived from the NCI-60
 cancer cell lines. 2) Secondly, we calculated drug repurposing score
 according to a set of approved therapeutic drugs of interested cancer based
 on the random walk with restart algorithm in the drug-drug functional
 similarity network. 3) Finally, the permutation test was used to calculate
 the statistical significance level for the drug repurposing score.

Package: r-cran-priorcon
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1594
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prioritizr, r-cran-terra, r-cran-highs, r-cran-tmap, r-cran-sf, r-cran-braingraph, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-priorcon_0.1.5-1.ca2004.1_all.deb
Size: 796624
MD5sum: 6c1cb1bc1cb9007a9aae4ec20e0f24af
SHA1: 5765ec69b43c5a2409fe8cf7eacc08ea01e76dc8
SHA256: 98392c51069f43815cfa6810524b83c50cfa356464410b8e0f5af898458f91d8
SHA512: 1dc8354f84a5fab779527237f26b044c5f8e18ab72f10d471a36cb6a41a9f6478063c62c027d72fe42bfe77d2e9a00456054c0646c69c106be58d83701fe9a6a
Homepage: https://cran.r-project.org/package=priorCON
Description: CRAN Package 'priorCON' (Graph Community Detection Methods into Systematic ConservationPlanning)
 An innovative tool-set that incorporates graph community detection methods
 into systematic conservation planning. It is designed to enhance spatial
 prioritization by focusing on the protection of areas with high ecological
 connectivity. Unlike traditional approaches that prioritize individual
 planning units, 'priorCON' focuses on clusters of features that exhibit
 strong ecological linkages. The 'priorCON' package is built upon the
 'prioritizr' package <doi:10.32614/CRAN.package.prioritizr>, using
 commercial and open-source exact algorithm solvers that ensure optimal
 solutions to prioritization problems.

Package: r-cran-priorgen
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rootsolve, r-cran-nleqslv
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-priorgen_2.0-1.ca2004.1_all.deb
Size: 205544
MD5sum: 3c732d24ff5fa1b62bb38555554dea97
SHA1: cceff325403d0b45b8ab7eeddf7681e4e9dbf623
SHA256: 95a286c0d48f5dc58e5077e647ebc9f1c58bc9519ea7191516280598143be898
SHA512: 5e0336cb92a51326e1f1a91e437283307baad69c77ef862120706bcb5e0a7c5a248a472ebbd18886e081ec8f1ea609735485086bc79d4988f79a38b821687ffb
Homepage: https://cran.r-project.org/package=PriorGen
Description: CRAN Package 'PriorGen' (Generates Prior Distributions for Proportions)
 Translates beliefs into prior information in the form of Beta and Gamma
 distributions.  It can be used for the generation of priors on the
 prevalence of disease and the sensitivity/specificity of diagnostic tests
 and any other binomial experiment.

Package: r-cran-prioritizrdata
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4636
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-tibble
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-prioritizrdata_0.3.2-1.ca2004.1_all.deb
Size: 4445640
MD5sum: 0277c2e24e54d8686b51ff522f6af557
SHA1: d1711574b79d9ac0d830d4617998ee6126900228
SHA256: c6b6057578177f4288e2e014420c3070d4e40fdceba90bf3f748d280bc8fc7e3
SHA512: acdea735ee574232628879a7fdd4660eb7e5faf84ed1082d52e710dc50524997d1256fa21971fa4fa32f20ce4850a4d9982c940243e122a97f769ff69167ad02
Homepage: https://cran.r-project.org/package=prioritizrdata
Description: CRAN Package 'prioritizrdata' (Conservation Planning Datasets)
 Conservation planning datasets for learning how to use the 'prioritizr'
 package <https://CRAN.R-project.org/package=prioritizr>.

Package: r-cran-priorityelasticnet
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-glmnet, r-cran-checkmate, r-cran-shiny, r-cran-tidyr, r-cran-dplyr, r-cran-caret, r-cran-proc, r-cran-prroc, r-cran-plotrix, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-broom, r-cran-cvms, r-bioc-glmsparsenet
Suggests: r-cran-ipflasso, r-cran-rlang, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-priorityelasticnet_0.2.0-1.ca2004.1_all.deb
Size: 2524708
MD5sum: f3f807c34c9b697cd524debe312ba18c
SHA1: 5e8edffd3fb02f33414eff0f543924b39cca664c
SHA256: 6e7e9cfd5833d9735367797e3cfb610fafa0b2069aff30bed89bc418dfefd352
SHA512: a508b13dda3d72eb1b73bc5157d8653511c01e9a54907db6137b8f011311c0fbc0432ec9f53c1aea101308efbe9153f2506a85bc4034211b5b4d043a02e0d22f
Homepage: https://cran.r-project.org/package=priorityelasticnet
Description: CRAN Package 'priorityelasticnet' (Comprehensive Analysis of Multi-Omics Data Using an Offset-BasedMethod)
 Priority-ElasticNet extends the Priority-LASSO method (Klau et al. (2018)
 <doi:10.1186/s12859-018-2344-6>) by incorporating the ElasticNet penalty,
 allowing for both L1 and L2 regularization.  This approach fits successive
 ElasticNet models for several blocks of (omics) data with different
 priorities, using the predicted values from each block as an offset for the
 subsequent block.  It also offers robust options to handle block-wise
 missingness in multi-omics data, improving the flexibility and applicability
 of the model in the presence of incomplete datasets.

Package: r-cran-prioritylasso
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3527
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-glmnet, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-proc, r-cran-bookdown, r-cran-ipflasso
Filename: pool/dists/focal/main/r-cran-prioritylasso_0.3.1-1.ca2004.1_all.deb
Size: 3409368
MD5sum: 685e40d0845d275bd035b75508e33369
SHA1: ad5e94fd4f5da98f78db3b5fe5674079223a8ba0
SHA256: c54195ee2591e664ff5d6700cdb446110b1f8af42407813c97116b5cfa42d151
SHA512: 5fa0ed0c59f72de5ecdc6ef5325604226876268f272b40dff89a62db1f148be8cfd0b36f557a57a74cfb35d407ad60e97f7f7dca84796185c743c1694aa2363f
Homepage: https://cran.r-project.org/package=prioritylasso
Description: CRAN Package 'prioritylasso' (Analyzing Multiple Omics Data with an Offset Approach)
 Fits successive Lasso models for several blocks of (omics) data with
 different priorities and takes the predicted values as an offset for the
 next block. Also offers options to deal with block-wise missingness in
 multi-omics data.

Package: r-cran-priorsense
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2419
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-ggdist, r-cran-ggh4x, r-cran-ggplot2, r-cran-matrixstats, r-cran-posterior, r-cran-rlang, r-cran-tibble
Suggests: r-cran-r2jags, r-cran-bayesplot, r-cran-brms, r-cran-quarto, r-cran-philentropy, r-cran-rstan, r-cran-testthat, r-cran-transport
Filename: pool/dists/focal/main/r-cran-priorsense_1.1.0-1.ca2004.1_all.deb
Size: 2204836
MD5sum: 1f64777c429dfc628a4ad178005b8493
SHA1: f51c411f2c4890d41f7282f48811f6e5cc7b9506
SHA256: 859056c68f00bbe29cc851dc6ccc349191c54fc6d5825dab1559ce100b325979
SHA512: a4befcf716d1db3cf8c6efabe71e7f38fc2590af069ad34f8069c4cddab7f291fcfd259fc6cad1bc8efe941ac75d2117a249757139ee836d160a79d9d1375b70
Homepage: https://cran.r-project.org/package=priorsense
Description: CRAN Package 'priorsense' (Prior Diagnostics and Sensitivity Analysis)
 Provides functions for prior and likelihood sensitivity analysis in Bayesian
 models. Currently it implements methods to determine the sensitivity of the
 posterior to power-scaling perturbations of the prior and likelihood.

Package: r-cran-prism.forecast
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1013
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-glmnet, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-prism.forecast_0.2.1-1.ca2004.1_all.deb
Size: 117232
MD5sum: 0c3d1c9c12bcfe39f41615e76c1ec7b4
SHA1: d58d9ee16c2cca8eb97407ed4aceb63307b81781
SHA256: c8e1b8d402a3c9060a0af8db5a84cac8336b3a1a921e2ffaae6de72cd19ea2a2
SHA512: aa2fca8b63776344a8f81ff94f08868fa28d53abfb8c637db77a45d9d75d6eec9061c4b64e7100d96ec65eb7a3659f4956fba1cb0dff70f2eeb36c6f2ba43fbd
Homepage: https://cran.r-project.org/package=PRISM.forecast
Description: CRAN Package 'PRISM.forecast' (Penalized Regression with Inferred Seasonality Module -Forecasting Unemployment Initial Claims using 'Google Trends'Data)
 Implements Penalized Regression with Inferred Seasonality Module (PRISM) to
 generate forecast estimation of weekly unemployment initial claims using
 'Google Trends' data. It includes required data and tools for backtesting
 the performance in 2007-2020.

Package: r-cran-prism
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2098
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-raster, r-cran-httr, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-readr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prism_0.2.3-1.ca2004.1_all.deb
Size: 822244
MD5sum: 77dbe86965fb728a9837444b90f5790f
SHA1: 130685b8bd82e864e9e4ea3649cd84aa109e5846
SHA256: bfa5a233b6a56ce74c1a4880c3ab9007d453e1de9729ba07650b55e64db592e4
SHA512: 48e68302965a0891d4c79fcfa47d5219754ad54610f46d639a5a6e6d1b5d2c4cf4ddb1303276b373fd3a905a97d0aafd998c1e4d33e173014bed96ae516c0cb7
Homepage: https://cran.r-project.org/package=prism
Description: CRAN Package 'prism' (Access Data from the Oregon State Prism Climate Project)
 Allows users to access the Oregon State Prism climate data
 (<https://prism.nacse.org/>). Using the web service API data can easily
 downloaded in bulk and loaded into R for spatial analysis.  Some user
 friendly visualizations are also provided.

Package: r-cran-prisma2020
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2222
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-htmltools, r-cran-htmlwidgets, r-cran-rsvg, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-stringr, r-cran-xml2, r-cran-webp, r-cran-dt, r-cran-rio, r-cran-zip
Filename: pool/dists/focal/main/r-cran-prisma2020_1.1.1-1.ca2004.1_all.deb
Size: 520288
MD5sum: 23600c64df12c040873463fc8d118151
SHA1: dc1a57debba4bf00d556bf5919ab01e1d83ac1fc
SHA256: 402ded27800fdba0637f64148f94e9c65ba02035a22040facf93a601d9477b55
SHA512: 5f0dd20be68b00d4f126fa1f2a8e077edf3eb31a6fa14dab5db84a1cdc27b833d3c02a488fa15bae6479fcd842045afb158afe3016db264689ab151c6839d3a4
Homepage: https://cran.r-project.org/package=PRISMA2020
Description: CRAN Package 'PRISMA2020' (Make Interactive 'PRISMA' Flow Diagrams)
 Systematic reviews should be described in a high degree of methodological
 detail. The 'PRISMA' Statement calls for a high level of reporting detail in
 systematic reviews and meta-analyses. An integral part of the methodological
 description of a review is a flow diagram.  This package produces an
 interactive flow diagram that conforms to the 'PRISMA2020' preprint. When
 made interactive, the reader/user can click on each box and be directed to
 another website or file online (e.g. a detailed description of the screening
 methods, or a list of excluded full texts), with a mouse-over tool tip that
 describes the information linked to in more detail. Interactive versions can
 be saved as HTML files, whilst static versions for inclusion in manuscripts
 can be saved as HTML, PDF, PNG, SVG, PS or WEBP files.

Package: r-cran-prisma
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-gplots, r-cran-ggplot2
Suggests: r-cran-tm
Filename: pool/dists/focal/main/r-cran-prisma_0.2-7-1.ca2004.1_all.deb
Size: 1128220
MD5sum: b56996c2a5505a0311d66ce2b739945a
SHA1: db3c56184bc245c840fa0e03f14e247395ffcc34
SHA256: baf5f19bad14255429d5139c8331ab3dcf69fb3474e5d335aef9732eb6ca675c
SHA512: 9c6bbd198d6ecaf7b96193f2ee691bc32818f0991b22ffb7e51c080aeb2eec402f38707e50ad75a4ca935b3ed0aab26c0ba5d6b0a07c9e1c0dff8b2bf37bade6
Homepage: https://cran.r-project.org/package=PRISMA
Description: CRAN Package 'PRISMA' (Protocol Inspection and State Machine Analysis)
 Loads and processes huge text corpora processed with the sally toolbox
 (<http://www.mlsec.org/sally/>).  sally acts as a very fast preprocessor
 which splits the text files into tokens or n-grams. These output files can
 then be read with the PRISMA package which applies testing-based token
 selection and has some replicate-aware, highly tuned non-negative matrix
 factorization and principal component analysis implementation which allows
 the processing of very big data sets even on desktop machines.

Package: r-cran-prismadiagramr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2475
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-diagrammer
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-flextable
Filename: pool/dists/focal/main/r-cran-prismadiagramr_1.0.0-1.ca2004.1_all.deb
Size: 660072
MD5sum: ccc1e2bed8faeede75ae6a00f2c78605
SHA1: c9cf9639c38657f5b7ada1d0e8d49e3d411b2b80
SHA256: 200790655d660203a85a84fb62a8853ccbd2125b66e226144f646467a0982040
SHA512: ebf3b9b3fcf6a93a8a65e38cb86d1b252ed195bdbf5268057faaf524583e9729a205c1ad983dbe3978ed995264842217aa1d4aa55d9787a866e2128708d67f5b
Homepage: https://cran.r-project.org/package=prismadiagramR
Description: CRAN Package 'prismadiagramR' (Creates a Prisma Diagram using 'DiagrammeR')
 Creates 'PRISMA' <http://prisma-statement.org/> diagram from a minimal
 dataset of included and excluded studies and allows for more custom
 diagrams. 'PRISMA' diagrams are used to track the identification, screening,
 eligibility, and inclusion of studies in a systematic review.

Package: r-cran-prismastatement
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5045
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-diagrammer
Suggests: r-cran-diagrammersvg, r-cran-knitr, r-cran-rmarkdown, r-cran-rsvg, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prismastatement_1.1.1-1.ca2004.1_all.deb
Size: 584028
MD5sum: 195fb1142b04ed7f31491c94864313aa
SHA1: 0d71982abf54d5d89247dc05afc72e6e2e5d7537
SHA256: 48d22554d5da425cd43c6905465652fcd808618634a11823ab1b9e2ebbff7bd7
SHA512: 954dd4c5a93976f8804e83357d538a256088d8e2d630336cbaef8e6cb95d740694d5f1174086a0ef4063dae421db15a02acc900ef74d78de16ed6baa48cab9d8
Homepage: https://cran.r-project.org/package=PRISMAstatement
Description: CRAN Package 'PRISMAstatement' (Plot Flow Charts According to the "PRISMA" Statement)
 Plot a PRISMA <http://prisma-statement.org/> flow chart describing the
 identification, screening, eligibility and inclusion or studies in
 systematic reviews. The PRISMA statement defines an evidence-based, minimal
 set of items for reporting in systematic reviews and meta-analyses. PRISMA
 should be used for the reporting of studies evaluating randomized clinical
 trials (RCT), and is also for reporting on systematic reviews of other types
 of research. There is also a function to generate flow charts describing
 exclusions and inclusions for any kind of study.

Package: r-cran-prismatic
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1635
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-farver
Suggests: r-cran-covr, r-cran-cli, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prismatic_1.1.2-1.ca2004.1_all.deb
Size: 714656
MD5sum: 110417ffb798c69cd4ad26e579ab6db6
SHA1: 148871ecf2fef1b8c1384fa4f65ca927ad6f8d49
SHA256: 67653a72ecfa01aa4361e535d4291f44c2b7a89e9e431d609122c15e2b6905af
SHA512: 64d09b6a6c9aa23e8051e357997a386efbe982daada7ad8b16d830f5fa6c23d6ead6b504708b73e43d300c62a80f56418b4e902a6d7b7d6627119f2c7c1c6a19
Homepage: https://cran.r-project.org/package=prismatic
Description: CRAN Package 'prismatic' (Color Manipulation Tools)
 Manipulate and visualize colors in a intuitive, low-dependency and
 functional way.

Package: r-cran-prismjs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-v8, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-prismjs_2.1.0-1.ca2004.1_all.deb
Size: 185236
MD5sum: 6dbabfc92e23eae6e1e7e8c12538d06d
SHA1: ebdc3ba745d5126de530d7894efc1dc4fb56ef20
SHA256: 3446f66fd82752ba5e4deb2ea6b5fd9a3365f560d141609edacad7c7b0214d7b
SHA512: cbfc8493e732b0ba074249212d03bbf0e064fe29ed4ee29fa551e05e0f9082d272259a408281063adafd01f50ed95a2df99410144893c85d44f63db9a55db6e0
Homepage: https://cran.r-project.org/package=prismjs
Description: CRAN Package 'prismjs' (Server-Side Syntax Highlighting)
 Prism <https://prismjs.com/> is a lightweight, extensible syntax
 highlighter, built with modern web standards in mind. This package provides
 server-side rendering in R using 'V8' such that no JavaScript library is
 required in the resulting HTML documents. Over 400 languages are supported.

Package: r-cran-prisonbrief
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-passport, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prisonbrief_0.1.2-1.ca2004.1_all.deb
Size: 193024
MD5sum: d7b1dcaa38f60ad5e17805a33f307dc0
SHA1: c388396e716a10ea52884a3fed109e9c672cb9a3
SHA256: 3be3b6ffe7e720d90893a2d091f74a462ea32f23c90dd35b01ce88a76cc8f92c
SHA512: 5f2eef57f95ff605dbda5d387ab1fc527fe5c6544d3fa429db0c86ba0c8d8dbe74db025d96fb27650b39cf48a7bd1e7b5eb04c83c53e7ae963d1dcae784840c3
Homepage: https://cran.r-project.org/package=prisonbrief
Description: CRAN Package 'prisonbrief' (Downloads and Parses World Prison Brief Data)
 Download, parses and tidies information from the World Prison Brief project
 <http://www.prisonstudies.org/>.

Package: r-cran-prithulib
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-prithulib_1.0.2-1.ca2004.1_all.deb
Size: 14312
MD5sum: a9eef60ffaeac460cfddd233e97804bb
SHA1: 753fe6164609a1746c852511661b8b80a65e2c8b
SHA256: 1736c9e1f026a4f16faec5fb5094e762b9c284d2e79d839f3935d383f5211290
SHA512: 1304394f742b223336d9cc3c047e9aacf20d9f4bf1368bc58de6d4c61c8b2a8721138a36f45012bdaad3f62b88982a862870129797173308e230fd1f061841bb
Homepage: https://cran.r-project.org/package=prithulib
Description: CRAN Package 'prithulib' (Perform Random Experiments)
 Enables user to perform the following: 1. Roll 'n' number of die/dice
 (roll()).  2. Toss 'n' number of coin(s) (toss()).  3. Play the game of
 Rock, Paper, Scissors.  4. Choose 'n' number of card(s) from a pack of 52
 playing cards (Joker optional).

Package: r-cran-privatelr
Architecture: all
Version: 1.2-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-privatelr_1.2-22-1.ca2004.1_all.deb
Size: 48480
MD5sum: a992e9d8dbe2c9debc5e9945b0ca921e
SHA1: bf066d35aafd9e84e2b3b9eacef306e255c4e36d
SHA256: 82787d777ed2524c40d0736d51f6af3f1736b773fa4ea5bfa15c7108f4a53d1c
SHA512: d360855f95c97c9a0002d2aaccb4f893a04f8ac0293cc8351d049bd26e1c5d67990453fb79517452f42a578f995d42e1afb71721a3fe5bbb37c02f1e0800d5af
Homepage: https://cran.r-project.org/package=PrivateLR
Description: CRAN Package 'PrivateLR' (Differentially Private Regularized Logistic Regression)
 Implements two differentially private algorithms for estimating
 L2-regularized logistic regression coefficients. A randomized algorithm F is
 epsilon-differentially private (C. Dwork, Differential Privacy, ICALP 2006
 <DOI:10.1007/11681878_14>), if |log(P(F(D) in S)) - log(P(F(D') in S))| <=
 epsilon for any pair D, D' of datasets that differ in exactly one record,
 any measurable set S, and the randomness is taken over the choices F makes.

Package: r-cran-prlogistic
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-lme4, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-prlogistic_1.2-1.ca2004.1_all.deb
Size: 86192
MD5sum: 61e3332200b6f92e31f414e2376d9806
SHA1: 548ecc62b9efb892cb376f224a7ebcfc0bbeb902
SHA256: 8f275b589d513dfd73cfe67a6cef479e00b0fbe9f8015c42fdbfeb227092584d
SHA512: a125c0a756a651b0ecacb19cec1f6834e8b1eee33aa700e4df48fca57490603a18a74f5dccf71f83339a43e83a6eae09f5f9f2f926cd28088839c9fc958e4834
Homepage: https://cran.r-project.org/package=prLogistic
Description: CRAN Package 'prLogistic' (Estimation of Prevalence Ratios using Logistic Models)
 Estimation of prevalence ratios using logistic models and confidence
 intervals with delta and bootstrap methods.

Package: r-cran-prmethods
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-prmethods_0.1.0-1.ca2004.1_all.deb
Size: 26344
MD5sum: cac46239f83a410785b02d09172a6d59
SHA1: ef43b77107ff2c35f6113e9a208771b3933f591e
SHA256: bc84ea0f679235d51e15ff04d2a667200cf084e7f3770bf8921dfbf638194ae3
SHA512: 9756c4723374a2649a43640284c198716ec9f4c027008a0ce7818a6a027d20cf6734b6a82af32878c6f8de91e90f560c521b9c86fd32d1fa347cfad4a398cac8
Homepage: https://cran.r-project.org/package=PRMethods
Description: CRAN Package 'PRMethods' (D-Hondt, Sainte-Lague, and Modified Sainte-Lague Methods forSeat Allocation)
 Calculates seat allocation using the D-Hondt method, Sainte-Lague method,
 and Modified Sainte-Lague method, all commonly used in proportional
 representation electoral systems. For more information on these methods, see
 Michael Gallagher (1991)<doi:10.1016/0261-3794(91)90004-C>.

Package: r-cran-prmisc
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-afex, r-cran-effectsize, r-cran-knitr, r-cran-rmarkdown, r-cran-spgs
Filename: pool/dists/focal/main/r-cran-prmisc_0.0.3-1.ca2004.1_all.deb
Size: 75828
MD5sum: 1078ce44a75232f7ad3ea387e5d3f6a9
SHA1: c074de28c3730fc6e462bd53fb3195576fa7f57a
SHA256: 4ec1410eb8fc178fc8a064479409842029be70faef2d3ef9ff2ae3e90bd5d2b8
SHA512: 865f542f4ea336cb542b30a4a2f323ba3dc4ab666c4e24545ebda09304c83ceb356cd4fa1a2357ab973e705854f515dba1e86c1c0b60fb06c85c548e5c389d0e
Homepage: https://cran.r-project.org/package=prmisc
Description: CRAN Package 'prmisc' (Miscellaneous Printing of Numeric and Statistical Output in RMarkdown and Quarto Documents)
 Miscellaneous printing of numeric or statistical results in R Markdown or
 Quarto documents according to guidelines of the "Publication Manual" of the
 American Psychological Association (2020, ISBN: 978-1-4338-3215-4). These
 guidelines are usually referred to as APA style
 (<https://apastyle.apa.org/>) and include specific rules on the formatting
 of numbers and statistical test results. APA style has to be implemented
 when submitting scientific reports in a wide range of research fields,
 especially in the social sciences. The default output of numbers in the R
 console or R Markdown and Quarto documents does not meet the APA style
 requirements, and reformatting results manually can be cumbersome and
 error-prone. This package covers the automatic conversion of R objects to
 textual representations that meet the APA style requirements, which can be
 included in R Markdown or Quarto documents. It covers some basic statistical
 tests (t-test, ANOVA, correlation, chi-squared test, Wilcoxon test) as well
 as some basic number printing manipulations (formatting p-values, removing
 leading zeros for numbers that cannot be greater than one, and others).
 Other packages exist for formatting numbers and tests according to the APA
 style guidelines, such as 'papaja'
 (<https://cran.r-project.org/package=papaja>) and 'apa'
 (<https://cran.r-project.org/package=apa>), but they do not offer all
 convenience functionality included in 'prmisc'. The vignette has an overview
 of most of the functions included in the package.

Package: r-cran-prng
Architecture: all
Version: 0.0.2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-prng_0.0.2.1.2-1.ca2004.1_all.deb
Size: 27912
MD5sum: 793f26414e97fdfba2cb847c57ab0bf2
SHA1: c860bb2cdc411472898ab1658715e12d2a5466be
SHA256: 3289713290b4c32bcbfafe603e739cbb9ffdf2a1fe0750e357b247db3e35470a
SHA512: a36bed3aaa64657f0a457ac8d23c33bb671d164940389abc2460d4588cb234ef35928e70559112e0979b8a7e4902bc3f909e193a00eb2b0ced2a7e33b8c460d1
Homepage: https://cran.r-project.org/package=PRNG
Description: CRAN Package 'PRNG' (A Pseudo-Random Number Generator)
 Provides functions for generating pseudo-random numbers that follow a
 uniform distribution [0,1]. Randomness tests were conducted using the
 National Institute of Standards and Technology test
 suite<https://csrc.nist.gov/pubs/sp/800/22/r1/upd1/final>, along with
 additional tests. The sequence generated depends on the initial values and
 parameters. The package includes a linear congruence map as the decision map
 and three chaotic maps to generate the pseudo-random sequence, which follow
 a uniform distribution. Other distributions can be generated from the
 uniform distribution using the Inversion Principle Method and BOX-Muller
 transformation. Small perturbations in seed values result in entirely
 different sequences of numbers due to the sensitive nature of the maps being
 used. The chaotic nature of the maps helps achieve randomness in the
 generator. Additionally, the generator is capable of producing random bits.

Package: r-cran-prnsamplr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 691
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-data.table, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-prnsamplr_1.1.0-1.ca2004.1_all.deb
Size: 588580
MD5sum: 315feb54406349597c8d5927767dc1ac
SHA1: 5331f4a36d27ccaa3d00cd88413bb728648590b5
SHA256: cf226ff229d7a2e11f04c341ac83e6ba97001e4e19e6b23416ca47596d99b29f
SHA512: ff553b2241553f7231c9b5d2f2c0a1080e8a20a337190edeccfc16376f813d025d677e2d51274cbd385db1767d86133b31394dadfba581bf75f3e18a09140d2d
Homepage: https://cran.r-project.org/package=prnsamplr
Description: CRAN Package 'prnsamplr' (Permanent Random Number Sampling)
 Survey sampling using permanent random numbers (PRN's). A solution to the
 problem of unknown overlap between survey samples, which leads to a low
 precision in estimates when the survey is repeated or combined with other
 surveys. The PRN solution is to supply the U(0, 1) random numbers to the
 sampling procedure, instead of having the sampling procedure generate them.
 In Lindblom (2014) <doi:10.2478/jos-2014-0047>, and therein cited papers, it
 is shown how this is carried out and how it improves the estimates. This
 package supports two common fixed-size sampling procedures (simple random
 sampling and probability-proportional-to-size sampling) and includes a
 function for transforming the PRN's in order to control the sample overlap.

Package: r-cran-pro
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pro_0.1.1-1.ca2004.1_all.deb
Size: 21564
MD5sum: 14dff6768db366f172b3941a3f8b7c26
SHA1: 61d06dd1050148233c16d05f46912b96fd043936
SHA256: 940af831594155ac5c7d858c48f8c7dc91bb3d86a89a40e12c02dbf6d42736f2
SHA512: 12772023823a699ac0a5e0b43669bd0897472096fbacf4a5a6bebf470de6bb24c50ab59f0acd71c9c8677a4e0bc758c02a88d464dbf792b0069f0eaf5de1ad6a
Homepage: https://cran.r-project.org/package=pro
Description: CRAN Package 'pro' (Point-Process Response Model for Optogenetics)
 Optogenetics is a new tool to study neuronal circuits that have been
 genetically modified to allow stimulation by flashes of light.  This package
 implements the methodological framework, Point-process Response model for
 Optogenetics (PRO), for analyzing data from these experiments.  This method
 provides explicit nonlinear transformations to link the flash point-process
 with the spiking point-process.  Such response functions can be used to
 provide important and interpretable scientific insights into the properties
 of the biophysical process that governs neural spiking in response to
 optogenetic stimulation.

Package: r-cran-proactive
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2590
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-proactive_0.1.0-1.ca2004.1_all.deb
Size: 2238100
MD5sum: 89114d40d5bf7f865c39d6769f1a5a85
SHA1: 521f584f506be74e8df386c15396f2b1c4dd7978
SHA256: e9b8c6b84e4f1b46398a6f8b6ba05ab69facb3d58f5963559b2813c8ad4ab525
SHA512: d2386cdef8c7ee46d6afadc4a59b5d711722cef4a7f88817564f001196d6c629b834644a8641fcaf778f74463892569f584409a9e597c5fa04830af528294a67
Homepage: https://cran.r-project.org/package=ProActive
Description: CRAN Package 'ProActive' (Detect Elevations and Gaps in Mapped Sequencing Read Coverage)
 Automate the detection of gaps and elevations in mapped sequencing read
 coverage using a 2D pattern-matching algorithm. 'ProActive' detects,
 characterizes and visualizes read coverage patterns in both genomes and
 metagenomes. Optionally, users may provide gene annotations associated with
 their genome or metagenome in the form of a .gff file. In this case,
 'ProActive' will generate an additional output table containing the gene
 annotations found within the detected regions of gapped and elevated read
 coverage. Additionally, users can search for gene annotations of interest in
 the output read coverage plots.

Package: r-cran-proae
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggnewscale, r-cran-ggtext, r-cran-dplyr, r-cran-hmisc, r-cran-magrittr, r-cran-ggpattern, r-cran-desctools, r-cran-gridextra, r-cran-kableextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proae_1.0.3-1.ca2004.1_all.deb
Size: 327920
MD5sum: 88083fb36df16da39523d801b77306ac
SHA1: e25dc5ca8f2c45a85f749138efb3d1462312c8c6
SHA256: f142597a6f90aab57926f594cea5288438e2c59d6009f23f7ae0d4b2230412a2
SHA512: 3c411c659d2b7d83665b9c23a6c1bd0f5621905ec8613ded3a528853a531f6376bdcea3df090e194e29e137d3c771cc05fa7a2aa9dbf528158ed7aca152c1e0a
Homepage: https://cran.r-project.org/package=ProAE
Description: CRAN Package 'ProAE' (PRO-CTCAE Scoring, Analysis, and Graphical Tools)
 A collection of tools to facilitate standardized analysis and graphical
 procedures when using the National Cancer Institute’s Patient-Reported
 Outcomes version of the Common Terminology Criteria for Adverse Events
 (PRO-CTCAE) and other PRO measurements.

Package: r-cran-prob
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 852
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-fasianoptions
Suggests: r-cran-vgam, r-cran-reshape, r-cran-mass, r-cran-hypergeo
Filename: pool/dists/focal/main/r-cran-prob_1.0-1-1.ca2004.1_all.deb
Size: 740372
MD5sum: 98de4b4a9815a73a25df394bfa928c52
SHA1: 643561875e9a721ac305db97810637d3b542e0bf
SHA256: 0f5760dcbc751a1052b27f9f4dd07ed7288c6e44935667de1a1cea3296a3b285
SHA512: eaa4d60778772929d2e2494b348033abef5bcbcb66290a71341c0dc36549a76082f47b7805354ea90ef6cbc21c6dc429ad898526db5feb4406fac240478f5419
Homepage: https://cran.r-project.org/package=prob
Description: CRAN Package 'prob' (Elementary Probability on Finite Sample Spaces)
 A framework for performing elementary probability calculations on finite
 sample spaces, which may be represented by data frames or lists.
 Functionality includes setting up sample spaces, counting tools, defining
 probability spaces, performing set algebra, calculating probability and
 conditional probability, tools for simulation and checking the law of large
 numbers, adding random variables, and finding marginal distributions.
 Characteristic functions for all base R distributions are included.

Package: r-cran-probably
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 777
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-butcher, r-cran-cli, r-cran-dplyr, r-cran-furrr, r-cran-generics, r-cran-ggplot2, r-cran-hardhat, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-tune, r-cran-vctrs, r-cran-withr, r-cran-workflows, r-cran-yardstick
Suggests: r-cran-betacal, r-cran-covr, r-cran-knitr, r-cran-mass, r-cran-mgcv, r-cran-modeldata, r-cran-nnet, r-cran-parsnip, r-cran-quantregforest, r-cran-randomforest, r-cran-recipes, r-cran-rmarkdown, r-cran-rsample, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-probably_1.1.0-1.ca2004.1_all.deb
Size: 596096
MD5sum: ace3eb0a1514c7938873a5442ec4e08a
SHA1: 813d61364e8daa6e6a1432e0e1881dcd606fdb2c
SHA256: 8d81b2ed341235cfe514681f724ecca954730c1d8ad570284b681ff31a12afb1
SHA512: 693aab33a7c110bc3ad46c5f73a8eb6f3468a4ef160ac79026d04f169e21b25ec03d96a5e2ad3934846e457e4739ecfe3f3a1bd4b930c1eec5b04af66667b8ff
Homepage: https://cran.r-project.org/package=probably
Description: CRAN Package 'probably' (Tools for Post-Processing Predicted Values)
 Models can be improved by post-processing class probabilities, by:
 recalibration, conversion to hard probabilities, assessment of equivocal
 zones, and other activities. 'probably' contains tools for conducting these
 operations as well as calibration tools and conformal inference techniques
 for regression models.

Package: r-cran-probbayes
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnbayes, r-cran-ggplot2, r-cran-gridextra, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-probbayes_1.1-1.ca2004.1_all.deb
Size: 415316
MD5sum: 4d4d3d78d15d784c72bdef8009826529
SHA1: cf4d73a6f8a5785dacdc5cf0503d3f94c6b0ab41
SHA256: 20b677b20a42f5e3a7131c80b100166cd5795742442d64b7c7d4609a7519bbe3
SHA512: 96e79270cf51f224d4621e2465382b22bbd4daf82e96b22212bbb1ce65c5f354990125f6391392392c3d20d4ac946be09a3c77f287f83ad084910a88a12560a3
Homepage: https://cran.r-project.org/package=ProbBayes
Description: CRAN Package 'ProbBayes' (Probability and Bayesian Modeling)
 Functions and datasets to accompany J. Albert and J. Hu, "Probability and
 Bayesian Modeling", CRC Press, (2019, ISBN: 1138492566).

Package: r-cran-probedeveloper
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmcalculator
Filename: pool/dists/focal/main/r-cran-probedeveloper_1.1.0-1.ca2004.1_all.deb
Size: 38132
MD5sum: c49418b07f9161c7920383c8e97959c9
SHA1: 52a63278c73cd7182dcc0baf52237d7b3b6c784c
SHA256: 291a53b8b754b8a92a96f2275e920fe9909fe5b52fe1ef9ef3b95751d63934ec
SHA512: 1af7ed1c2b24de15cbc819eb13f366cebd9eb509bd696775db00a87e7b9e87f45fe3bf65ad13d71d80d1aa7a6741cda2bf4db9384985f8339e2e253e8d3d0b3e
Homepage: https://cran.r-project.org/package=ProbeDeveloper
Description: CRAN Package 'ProbeDeveloper' (Develop Hybridization Probes)
 Hybridization probes for target sequences can be made based on melting
 temperature value calculated by R package 'TmCalculator'
 <https://CRAN.R-project.org/package=TmCalculator> and methods extended from
 Beliveau, B. J.,(2018) <doi:10.1073/pnas.1714530115>, and those
 hybridization probes can be used to capture specific target regions in
 fluorescence in situ hybridization and next generation sequence experiments.

Package: r-cran-probemod
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-probemod_0.2.1-1.ca2004.1_all.deb
Size: 49404
MD5sum: 32b7163fc095375de9a57f2e91621d7c
SHA1: 9fca18e77fd584283a40fb1d6c2cdacdafe35c7c
SHA256: ca4d220a741b2623c695dce3c09d04e2c1c81bb72b79c98580092cd2a2d3002b
SHA512: 19a7744cb96c289f01113314f985cde010cfe10e1b14a15b030bbe5ec6a620516f2a8b4da54adf9d73319d9f2c1fb8108893db8e64e6fc8f15f7a672ecfcfb56
Homepage: https://cran.r-project.org/package=probemod
Description: CRAN Package 'probemod' (Statistical Tools for Probing Moderation Effects)
 Contains functions that are useful for probing moderation effects (or
 interactions) including techniques such as pick-a-point (also known as
 spotlight analysis) and Johnson-Neyman (also known as floodlight analysis).
 Plot function is also provided to facilitate visualization of results from
 each of these techniques.

Package: r-cran-probfda
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-probfda_1.0.1-1.ca2004.1_all.deb
Size: 42428
MD5sum: 70950185fbc1b9d819a673420526b0f8
SHA1: 451339d8362874e8ffedd065c3563523e2ff02fe
SHA256: f3f9278f4fc990ad5001500adf4a52405f078302c57950274caf4511cd73060e
SHA512: a4d31cb2298f9923de2749504de5061709ded0747aa6d7d4337aaedd1dc5d8a5ee2a399aae37d35bc7b29a3d95b2fd250af76350bfbc4514d250b80895041516
Homepage: https://cran.r-project.org/package=probFDA
Description: CRAN Package 'probFDA' (Probabilistic Fisher Discriminant Analysis)
 Probabilistic Fisher discriminant analysis (pFDA) is a probabilistic version
 of the popular and powerful Fisher linear discriminant analysis for
 dimensionality reduction and classification.

Package: r-cran-probmarg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-probmarg_1.0.1-1.ca2004.1_all.deb
Size: 28032
MD5sum: 321c300dc304d3103e24552f06e7de8c
SHA1: a86c2b37322f5168434efb72e3a262d8acde3411
SHA256: 7a222e0cc45edcd82cc863c443575d8f3cb0c766ccb49343a11d67789fbf7300
SHA512: 075dba1ef038a04dff458a0a3d96abb02c308d030db9818296e6037e1228f36323f307bb8ca616984c516e02cef4dfcd05fb6f798299d59da981ebaeca076607
Homepage: https://cran.r-project.org/package=ProbMarg
Description: CRAN Package 'ProbMarg' (Computing Logit & Probit Predicted Probabilities & MarginalEffects)
 Computes predicted probabilities and marginal effects for binary & ordinal
 logit and probit, (partial) generalized ordinal & multinomial logit models
 estimated with the glm(), clm() (in the 'ordinal' package), and vglm() (in
 the 'VGAM' package) functions.

Package: r-cran-probs
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-combinat, r-cran-mass, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-probs_0.9.9-1.ca2004.1_all.deb
Size: 162084
MD5sum: 65ecfe6c907576b6805371263b6a44bf
SHA1: f10d6e8f522291b579d5b3d4bdc7ceae16e91185
SHA256: 95264860a0aab9cc91290e9eb90f2a6911ea6535c7c8256dfaffdf5801cd258e
SHA512: 4bfbeade62ce85b3fad98617ddab075c92a7d0c19d689194ac6af4795982fae231375ebf9c330c57f477bdb9286bef57802bff774ea8aa635ccd4af1ffe9398f
Homepage: https://cran.r-project.org/package=probs
Description: CRAN Package 'probs' (Elementary Probability on Finite Sample Spaces)
 Performs elementary probability calculations on finite sample spaces, which
 may be represented by data frames or lists.  This package is meant to rescue
 some widely used functions from the archived 'prob' package (see
 <https://cran.r-project.org/src/contrib/Archive/prob/>).  Functionality
 includes setting up sample spaces, counting tools, defining probability
 spaces, performing set algebra, calculating probability and conditional
 probability, tools for simulation and checking the law of large numbers,
 adding random variables, and finding marginal distributions.  Characteristic
 functions for all base R distributions are included.

Package: r-cran-probsamplingi
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-probsamplingi_2.0-1.ca2004.1_all.deb
Size: 196636
MD5sum: 70cd14285b8cb234823ea67497dc5d05
SHA1: 12c67158f6c8ba35995a5540b55239198c344c78
SHA256: 45e81947fc3e88d3e90c2bb09510940ab41603e67e997bdca7385f85dd7a0dc2
SHA512: 1d0211af4c84dd3b3fb1be38bae0cf19c7f5251ecf0a505c12636b965555e63aa2d06ee5d2084a619adfa8463161031ff095a71270d9264562e66c572b18507f
Homepage: https://cran.r-project.org/package=ProbSamplingI
Description: CRAN Package 'ProbSamplingI' (Probabilistic Sampling Design and Strategies)
 It allows the user to determine sample sizes, select probabilistic samples,
 make estimates of different parameters for the total finite population and
 in studio domains, using the main design drawings.

Package: r-cran-probshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-laplacesdemon, r-cran-shinymatrix, r-cran-rpivottable, r-cran-epitools
Filename: pool/dists/focal/main/r-cran-probshiny_0.1.0-1.ca2004.1_all.deb
Size: 69952
MD5sum: 4a5a941973875907febeed0beacbc286
SHA1: 804a773702450945fe2dd2ad4ea6780864f9b05d
SHA256: 4b7835da1cd92074e9a3be3ea83eb27aa0c270ba1793f107a17f8e0afcaa7bb4
SHA512: 2d9c07a7d93dbc95aad198dfe7b1790dffb865ba04a852a7334c529a91535a7cc529451eb39026cabb34cc1aef4143dcaf14247dc6b23adba9e179e7d546e409
Homepage: https://cran.r-project.org/package=PROBShiny
Description: CRAN Package 'PROBShiny' (Interactive Document for Working with Basic Probability)
 An interactive document on the topic of basic probability using 'rmarkdown'
 and 'shiny' packages. Runtime examples are provided in the package function
 as well as at <https://analyticmodels.shinyapps.io/BayesShiny/>.

Package: r-cran-probstats4econ
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1891
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-estimatr
Filename: pool/dists/focal/main/r-cran-probstats4econ_0.3.1-1.ca2004.1_all.deb
Size: 1893216
MD5sum: 96722d2163d96e663de4ec2a4f4680a8
SHA1: 08654dd78f689521109fdd04d3ad2d85bb76734f
SHA256: d9c2596257e32fd084887e0134092d2048dfdde684298cf8f9df7ae1b015efae
SHA512: 4de60b95a32b94be7a85e7f580511da55f15293fc88289610895c73b7411fad8668201550de2e63e59396be6e13259ec3cb8205dc32d93a940925701f720a3c1
Homepage: https://cran.r-project.org/package=probstats4econ
Description: CRAN Package 'probstats4econ' (Companion Package to Probability and Statistics for Economicsand Business)
 Utilities for multiple hypothesis testing, companion datasets from
 "Probability and Statistics for Economics and Business: An Introduction
 Using R" by Jason Abrevaya (MIT Press, under contract).

Package: r-cran-probyx
Architecture: all
Version: 1.1-0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-probyx_1.1-0.1-1.ca2004.1_all.deb
Size: 80504
MD5sum: 67633ce8a76eff4a7e5d2b606b9fb949
SHA1: 172c88c573b91b7c99bc1123342a6f87cbd8fb2f
SHA256: e40b8c38b822047bed7ddde1d6373ba79301c5847753f7e5c613a36c9609a49c
SHA512: 4bf3681942d2459673ac32abd50b2cf02d50d345ed956a8a39f489bcaa9bb0fceb000fa177de46e67064f529df3aabd4af7a6b89aaaf8a8883176d047d028589
Homepage: https://cran.r-project.org/package=ProbYX
Description: CRAN Package 'ProbYX' (Inference for the Stress-Strength Model R = P(Y<X))
 Confidence intervals and point estimation for R under various parametric
 model assumptions; likelihood inference based on classical first-order
 approximations and higher-order asymptotic procedures.

Package: r-cran-proccalibrad
Architecture: all
Version: 0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-proccalibrad_0.14-1.ca2004.1_all.deb
Size: 32228
MD5sum: e1245fd7e0d77bdb5933d3e03c31a281
SHA1: c20f8d8f0685d94d3b19309798473bad046e0376
SHA256: 0dce0c8b7b2054e01a876b6c304b3233baf17cbf420c53772cbbb303af8a5c04
SHA512: 897cd4d5612ae14cc78f1628ddd9f67e9a4353116bad0c8cbd40fe66038860eaf85625611089bec636c3d45553b62b15f5442c8c8618ac53442bd12c94687036
Homepage: https://cran.r-project.org/package=proccalibrad
Description: CRAN Package 'proccalibrad' (Extraction of Bands from MODIS Calibrated Radiances MOD02 NRT)
 Package for processing downloaded MODIS Calibrated radiances Product HDF
 files. Specifically, MOD02 calibrated radiance product files, and the
 associated MOD03 geolocation files (for MODIS-TERRA). The package will be
 most effective if the user installs MRTSwath (MODIS Reprojection Tool for
 swath products;
 <https://lpdaac.usgs.gov/tools/modis_reprojection_tool_swath>, and adds the
 directory with the MRTSwath executable to the default R PATH by editing
 ~/.Rprofile.

Package: r-cran-proceduralnames
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-proceduralnames_0.2.2-1.ca2004.1_all.deb
Size: 107236
MD5sum: c8900431853da3ca8d6039b3dbcbad04
SHA1: f1c730e6deaf7e6dbbaf128774d931d8df6032ae
SHA256: 6954fef9f234c7862e0b6835e769cd42f0038dc59fdcea5408bdd6bdf48bb224
SHA512: 3ff50cf852e3879c5f2997536d4a2d82aece38ff6d651a787b5677df3f493601c322dccc222005607f29dd1eb9857992c48bf5de262ebf203b4a8ef625cad57a
Homepage: https://cran.r-project.org/package=proceduralnames
Description: CRAN Package 'proceduralnames' (Several Methods for Procedural Name Generation)
 A small, dependency-free way to generate random names. Methods provided
 include the adjective-surname approach of Docker containers
 ('<https://github.com/moby/moby/blob/master/pkg/namesgenerator/names-generator.go>'),
 and combinations of common English or Spanish words.

Package: r-cran-processanimater
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11671
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bupar, r-cran-processmapr, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-htmlwidgets, r-cran-diagrammer, r-cran-stringr, r-cran-htmltools
Suggests: r-cran-eventdatar, r-cran-edear, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-rcolorbrewer, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-processanimater_1.0.5-1.ca2004.1_all.deb
Size: 899288
MD5sum: 61b4434ea8ea0e86760da3401fe32e51
SHA1: 8dff40b9a6accb56fd9aa273534d2ad2793a74ba
SHA256: 6c67308aa205f1a7b4303b9ef6012f6812e9bcead982cf0ccda4ffe7a51724b6
SHA512: 071a8eb2abc8461694db6ad240bce8b801675a58323c92fc33993a2094a90e4ecbf1a7a2f529fbd981e3ea5e961c2be46dd41302a8f9bcac8f878e95cf5b1348
Homepage: https://cran.r-project.org/package=processanimateR
Description: CRAN Package 'processanimateR' (Process Map Token Replay Animation)
 Provides animated process maps based on the 'procesmapR' package.  Cases
 stored in event logs created with with 'bupaR' S3 class eventlog() are
 rendered as tokens (SVG shapes) and animated according to their occurrence
 times on top of the process map. For rendering SVG animations ('SMIL') and
 the 'htmlwidget' package are used.

Package: r-cran-processcheckr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-bupar, r-cran-rlang, r-cran-edear, r-cran-stringr, r-cran-stringi, r-cran-glue, r-cran-lifecycle, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-eventdatar, r-cran-covr, r-cran-compare, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-processcheckr_0.1.4-1.ca2004.1_all.deb
Size: 112316
MD5sum: 1e78cb34e3ef25e95289e0382512112d
SHA1: 82910a779230ccf1c15b1a4a24b4be4550f0e9b4
SHA256: d3b47284d48d6ffd00d2645f5bd79f35c3a757e4cbb75512d2f8463fbb598277
SHA512: a3417e9270242d26608ad7d8ccd6da5d14b82acc4393ec3143656ad0b98b9fbb83ca126a6b0a75720a53cf749e50cecfb8e584f367f63554893f9ef605d2bf33
Homepage: https://cran.r-project.org/package=processcheckR
Description: CRAN Package 'processcheckR' (Rule-Based Conformance Checking of Business Process Event Data)
 Check compliance of event-data from (business) processes with respect to
 specified rules. Rules supported are of three types: frequency (activities
 that should (not) happen x number of times), order (succession between
 activities) and exclusiveness (and and exclusive choice between activities).

Package: r-cran-processmonitr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-dplyr, r-cran-bupar, r-cran-edear, r-cran-shiny, r-cran-miniui
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-processmonitr_0.1.0-1.ca2004.1_all.deb
Size: 34088
MD5sum: 8c2ca5ebe8043150f39e02cbaa9ac5c3
SHA1: 4cee49c3f7645f18c1fe807a34828783193ce349
SHA256: c6c8c98ade4cb48164beee616c8199abe6bfd399addd0b55d2a495a85733327c
SHA512: c4413ec58d39999b5122b20e9ab5d57b5fd4cdaa536a858175f2a9762a73aadd2b794bd7e21ad789a818953249cd64c61228f60637b4886f2a252955c50ee2cf
Homepage: https://cran.r-project.org/package=processmonitR
Description: CRAN Package 'processmonitR' (Building Process Monitoring Dashboards)
 Functions for constructing dashboards for business process monitoring.
 Building on the event log objects class from package 'bupaR'. Allows the use
 to assemble custom shiny dashboards based on process data.

Package: r-cran-processpredictr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bupar, r-cran-edear, r-cran-dplyr, r-cran-forcats, r-cran-magrittr, r-cran-reticulate, r-cran-tidyr, r-cran-tidyselect, r-cran-purrr, r-cran-stringr, r-cran-keras, r-cran-tensorflow, r-cran-rlang, r-cran-data.table, r-cran-mltools, r-cran-ggplot2, r-cran-cli, r-cran-glue, r-cran-plotly, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-eventdatar
Filename: pool/dists/focal/main/r-cran-processpredictr_0.1.0-1.ca2004.1_all.deb
Size: 146348
MD5sum: a88f8f8fce28823d9a4e22781311fc11
SHA1: ea597ec55d611e1cbbf57a7352e8826d362e6db7
SHA256: db121825d31f7b469b540daf8e93c2a289a293a119a33a074dcf3f7fe4bcbfa7
SHA512: 8235f7552c5c7d55e5e46ea28898604b395f4982fee30745bd017a8f228e68b8c4501d03e309be7f957f3ba2a7dea277ab2feed3788796320038c5bad28c3e97
Homepage: https://cran.r-project.org/package=processpredictR
Description: CRAN Package 'processpredictR' (Process Prediction)
 Means to predict process flow, such as process outcome, next activity, next
 time, remaining time, and remaining trace. Off-the-shelf predictive models
 based on the concept of Transformers are provided, as well as multiple ways
 to customize the models. This package is partly based on work described in
 Zaharah A. Bukhsh, Aaqib Saeed, & Remco M. Dijkman. (2021).
 "ProcessTransformer: Predictive Business Process Monitoring with Transformer
 Network" <arXiv:2104.00721>.

Package: r-cran-processr
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-diagram, r-cran-dplyr, r-cran-flextable, r-cran-ggplot2, r-cran-ggrepel, r-cran-officer, r-cran-psych, r-cran-purrr, r-cran-rrtable, r-cran-semtools, r-cran-stringr, r-cran-tidyselect, r-cran-rlang, r-cran-tidyr, r-cran-predict3d, r-cran-interactions, r-cran-ztable, r-cran-rmarkdown
Suggests: r-cran-shiny, r-cran-shinywidgets, r-cran-knitr, r-cran-readr
Filename: pool/dists/focal/main/r-cran-processr_0.2.7-1.ca2004.1_all.deb
Size: 952572
MD5sum: d00ea3c27fb29a5e5c4f79462dd7cf78
SHA1: c35b2ab3bc051f80d0dc34eac6791b154aaf72e2
SHA256: 2a527b11ca3c70f06cfd7d9efe3047bb2d0d2c43f019e675ad68f753c984fda9
SHA512: 580c97adb370a11555286dc9e27af47a673a12bd540d0d7836166b9af9176215bd5a37dbe0d2aac15e40119e4ce56f018b26a59df0bb6cc6792eb8c7fbae4b71
Homepage: https://cran.r-project.org/package=processR
Description: CRAN Package 'processR' (Implementation of the 'PROCESS' Macro)
 Perform moderation, mediation, moderated mediation and moderated moderation.
 Inspired from famous 'PROCESS' macro for 'SPSS' and 'SAS' created by Andrew
 Hayes.

Package: r-cran-procmod
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4090
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-permute, r-cran-matrix, r-cran-foreach, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-vegan, r-cran-testthat, r-cran-ade4, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-procmod_1.0.8-1.ca2004.1_all.deb
Size: 1746672
MD5sum: 59afa8de21fe3bd85462dbd0267b109f
SHA1: 1c7c324b76883e2e132748d1d7bc55a101bc0468
SHA256: 850b55588cf7b5709808f0b43b74806ac850e817bce0a6ea86adeddd8d7461c1
SHA512: 6ecf85051210668f7fcc1d3eeb0d155422777f511179569170814f6d8e505e6050eb175f6a16fbb66d3071dfa3d3f75ee2160faeed8b21e725c4c868bfb6cc00
Homepage: https://cran.r-project.org/package=ProcMod
Description: CRAN Package 'ProcMod' (Informative Procrustean Matrix Correlation)
 Estimates corrected Procrustean correlation between matrices for removing
 overfitting effect. Coissac Eric and Gonindard-Melodelima Christelle (2019)
 <doi:10.1101/842070>.

Package: r-cran-procs
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1943
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-common, r-cran-fmtr, r-cran-reporter, r-cran-tibble, r-cran-saslm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-logr
Filename: pool/dists/focal/main/r-cran-procs_1.0.6-1.ca2004.1_all.deb
Size: 998280
MD5sum: 162e7c943580f5d6a1c30afe41cea22a
SHA1: 013624eaa2384ad551e901b11d3b92ac187483b3
SHA256: b5815d3958cb76a41814b05814b9683246ccd6514d20ac1782b7dbd8c1b46274
SHA512: b7d290c5d403664bbf827ec15a6fdd13c2ba4c8204802216b60dce0e41bf69b4769081bf3e3d91d4fcdac33c619d76bd8e81736a5823b9a370778e327df60663
Homepage: https://cran.r-project.org/package=procs
Description: CRAN Package 'procs' (Recreates Some 'SAS®' Procedures in 'R')
 Contains functions to simulate the most commonly used 'SAS®' procedures.
 Specifically, the package aims to simulate the functionality of 'proc freq',
 'proc means', 'proc ttest', 'proc reg', 'proc transpose', 'proc sort', and
 'proc print'.  The simulation will include recreating all statistics with
 the highest fidelity possible.

Package: r-cran-prodenica
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gam
Filename: pool/dists/focal/main/r-cran-prodenica_1.1-1.ca2004.1_all.deb
Size: 49256
MD5sum: b20f45bb4361fa07d6e31b444a49696b
SHA1: d78eb21a4efea8d891a5158632e861b85c6606ec
SHA256: 90b226d1cf58e150f6523530fdae4fc188ffad1e0b692e7f2b5395d93ccf0478
SHA512: 061931a7afdc29c2bfdf0133034a64640dff1cb47b69c08995d01a3c64f73658f78c9517cdea57098a18f03f8a6bf28240ea9635de7834610db4f742dad2eebf
Homepage: https://cran.r-project.org/package=ProDenICA
Description: CRAN Package 'ProDenICA' (Product Density Estimation for ICA using Tilted Gaussian DensityEstimates)
 A direct and flexible method for estimating an ICA model. This approach
 estimates the densities for each component directly via a tilted Gaussian.
 The tilt functions are estimated via a GAM Poisson model. Details can be
 found in "Elements of Statistical Learning (2nd Edition)" in Section 14.7.4.

Package: r-cran-prodest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 829
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-rsolnp, r-cran-deoptim, r-cran-aer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prodest_1.0.1-1.ca2004.1_all.deb
Size: 783568
MD5sum: 1cdc900ed9709dcb70bdae442a88d1a3
SHA1: 50819e36e415d2a52f2c9723bb3ab2b07b214939
SHA256: a363320ad0a8b8c3f584038676b2574ae2f505642acf47fac20374d7a762f01d
SHA512: c1990759a893278ee07d33fc8c00d5baf1a14e2bfd6e51691064eef5b4656359f8820d2309364b81b836cde4655c484701d2eb9e253cd6880a5677f5ffecae66
Homepage: https://cran.r-project.org/package=prodest
Description: CRAN Package 'prodest' (Production Function Estimation)
 Implements the methods proposed by Olley, G.S. and Pakes, A. (1996)
 <doi:10.2307/2171831>, Levinsohn, J. and Petrin, A. (2003)
 <doi:10.1111/1467-937X.00246>, Ackerberg, D.A. and Caves, K. and Frazer, G.
 (2015) <doi:10.3982/ECTA13408> and Wooldridge, J.M. (2009)
 <doi:10.1016/j.econlet.2009.04.026> for structural productivity estimation .

Package: r-cran-prodigenr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-gert, r-cran-rlang, r-cran-rprojroot, r-cran-whisker, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prodigenr_0.7.0-1.ca2004.1_all.deb
Size: 46940
MD5sum: fb949a9df97ab1c972ec2b1367cced24
SHA1: 5d9dbe16f0e01be69466b3821c76c384cac8916f
SHA256: ca18f4fe47b8515e73d3fc104c097b4867084640796dc98dc0fc20b3ae132cd0
SHA512: aa8a2589a9fa25f5bd33144260dd8dd5515bb4f7b16f74b1e366a250b0c40f9f1d0286d4adabc8fecc356c4304fa455c38263078af0344b537351a6ea27b6268
Homepage: https://cran.r-project.org/package=prodigenr
Description: CRAN Package 'prodigenr' (Research Project Directory Generator)
 Create a project directory structure, along with typical files for that
 project.  This allows projects to be quickly and easily created, as well as
 for them to be standardized. Designed specifically with scientists in mind
 (mainly bio-medical researchers, but likely applies to other fields).

Package: r-cran-productivity
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-productivity_1.1.0-1.ca2004.1_all.deb
Size: 410004
MD5sum: 01ab3b260153f78aa39a69b072693fd0
SHA1: 63702cfc4af014c42fe36e1573c30faa6cb3b2b7
SHA256: 98a3a3e62a60e76455e903dc1da779490594f842b66a9a3619f418c8ce762c0a
SHA512: a6346d96ebd54e77ad4f35f0636610f7936cdb0c915a2cd4ba9501330715dea643d411f6c144ad315b61bd3900f3ae5ef3896a663b2a95f2288598a988dad493
Homepage: https://cran.r-project.org/package=productivity
Description: CRAN Package 'productivity' (Indices of Productivity Using Data Envelopment Analysis (DEA))
 Levels and changes of productivity and profitability are measured with
 various indices.  The package contains the multiplicatively complete
 Färe-Primont, Fisher, Hicks-Moorsteen, Laspeyres, Lowe, and Paasche indices,
 as well as the classic Malmquist productivity index.  Färe-Primont and Lowe
 indices verify the transitivity property and can therefore be used for
 multilateral or multitemporal comparison.  Fisher, Hicks-Moorsteen,
 Laspeyres, Malmquist, and Paasche indices are not transitive and are only to
 be used for binary comparison.  All indices can also be decomposed into
 different components, providing insightful information on the sources of
 productivity and profitability changes.  In the use of Malmquist
 productivity index, the technological change index can be further decomposed
 into bias technological change components.  The package also allows to
 prohibit technological regression (negative technological change). In the
 case of the Fisher, Hicks-Moorsteen, Laspeyres, Paasche and the transitive
 Färe-Primont and Lowe indices, it is furthermore possible to rule out
 technological change.  Deflated shadow prices can also be obtained. Besides,
 the package allows parallel computing as an option, depending on the user's
 computer configuration.  All computations are carried out with the
 nonparametric Data Envelopment Analysis (DEA), and several assumptions
 regarding returns to scale are available.  All DEA linear programs are
 implemented using 'lp_solve'.

Package: r-cran-productplots
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-ggplot2
Suggests: r-cran-reshape2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-productplots_0.1.1-1.ca2004.1_all.deb
Size: 293576
MD5sum: 6bb945237c39e8f93381f9848734b107
SHA1: 3b2f341989be1c5655fcc1b522699da457f08589
SHA256: 7f9a3d86e9f1bf025212c630ab31aa0094c21c130a28cc3267b241b13142d5dc
SHA512: 5e080fc37bb2b4e2989a3b7670b590e5868a090ada905a52b486074f270620d49e79863796a50bc36eb431c982972252ef215678d8582692b24662075ed0136f
Homepage: https://cran.r-project.org/package=productplots
Description: CRAN Package 'productplots' (Product Plots for R)
 Framework for visualising tables of counts, proportions and probabilities.
 The framework is called product plots, alluding to the computation of area
 as a product of height and width, and the statistical concept of generating
 a joint distribution from the product of conditional and marginal
 distributions. The framework, with extensions, is sufficient to encompass
 over 20 visualisations previously described in fields of statistical
 graphics and 'infovis', including bar charts, mosaic plots, 'treemaps',
 equal area plots and fluctuation diagrams.

Package: r-cran-prof.tree
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.tree
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-prof.tree_0.1.0-1.ca2004.1_all.deb
Size: 16560
MD5sum: 081d450b02fe3b56f428976452bde2ca
SHA1: 127a02d475c57ff4e04c7664ecc6d16582b874b7
SHA256: 26656f0c797b6300422c972cdba64312724f34be9749cdebc6c4f662f88e2991
SHA512: e22f19d47589f6ba0df5fad94f5a0a7c2fb2481b099e3e459ade3f0ef192dfe1fd30629b044ba0acf1b5e32b0a41aa995c19b9e5d1cc1d054d27b0243a682671
Homepage: https://cran.r-project.org/package=prof.tree
Description: CRAN Package 'prof.tree' (An Alternative Display Profiling Data as Tree Structure)
 An alternative data structure for the profiling information generated by
 Rprof().

Package: r-cran-professr
Architecture: all
Version: 2.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rpmg
Filename: pool/dists/focal/main/r-cran-professr_2.4-3-1.ca2004.1_all.deb
Size: 432948
MD5sum: 656a1fe652c3ec74ca1d69b3207e5db9
SHA1: 032f8fd9878b4cb36648515e2f716a97b4e03219
SHA256: be7c2c77c030c2351e49c1f975cf5b6b90aad4f4da0e0e9cbd857e86cc5bd286
SHA512: d8ca96b7b6b2c165ff06b9f46c98f11c215e3b6c0278a687131da33b6780144889830361768f5b882cfbbbd4600ec02a6c90d9d30bd7478eafb74a636bf12468
Homepage: https://cran.r-project.org/package=ProfessR
Description: CRAN Package 'ProfessR' (Grades Setting and Exam Maker)
 Programs to determine student grades and create examinations from Question
 banks.  Programs will create numerous multiple choice exams, randomly
 shuffled, for different versions of same question list.

Package: r-cran-profextrema
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dicekriging, r-cran-kriginv, r-cran-pgpx, r-cran-microbenchmark, r-cran-quantreg, r-cran-lhs, r-cran-rcolorbrewer, r-cran-mass, r-cran-rcdd
Filename: pool/dists/focal/main/r-cran-profextrema_0.2.1-1.ca2004.1_all.deb
Size: 305660
MD5sum: 59d8c7ed597b0c0aa79bc588c3d53350
SHA1: d9be5138fe1f1ee2b506f756f01557e93b9b4eb9
SHA256: a6cf012428f8c3bce235e6aa2e7c8685f0194f68eab1e978250479b454cfd009
SHA512: 90ee051c6d69b429e116682376d03f5523d2cf6bfec4721fa1b4e53e4586e2447d6960999000f2601c636a620746793c077caf71c834b714a6522aa5d670cff0
Homepage: https://cran.r-project.org/package=profExtrema
Description: CRAN Package 'profExtrema' (Compute and Visualize Profile Extrema Functions)
 Computes profile extrema functions for arbitrary functions. If the function
 is expensive-to-evaluate it computes profile extrema by emulating the
 function with a Gaussian process (using package 'DiceKriging'). In this case
 uncertainty quantification on the profile extrema can also be computed. The
 different plotting functions for profile extrema give the user a tool to
 better locate excursion sets.

Package: r-cran-proffer
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 790
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-parallelly, r-cran-pingr, r-cran-processx, r-cran-profile, r-cran-r.utils, r-cran-rprotobuf, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proffer_0.2.2-1.ca2004.1_all.deb
Size: 716864
MD5sum: 159f387e7eb77857a31cad1c41809ae6
SHA1: 4a88d511660dc94f8e60d71ec37e3f290ba1d591
SHA256: bdc6605a81e4da0e5b03815453e87ce53f6f6fa0ba9ccb119d9357c49422a1ce
SHA512: 328f6ed2ff2a895651964b1e8330afd743dbd8ca1cfc01c278340c9b4846c1ea387e608a22688f36b907ff132bf881ea8a30032aa93df8a802b1e5ee48161351
Homepage: https://cran.r-project.org/package=proffer
Description: CRAN Package 'proffer' (Profile R Code and Visualize with 'Pprof')
 Like similar profiling tools, the 'proffer' package automatically detects
 sources of slowness in R code.  The distinguishing feature of 'proffer' is
 its utilization of 'pprof', which supplies interactive visualizations that
 are efficient and easy to interpret.  Behind the scenes, the 'profile'
 package converts native Rprof() data to a protocol buffer that 'pprof'
 understands.  For the documentation of 'proffer', visit
 <https://r-prof.github.io/proffer/>.  To learn about the implementations and
 methodologies of 'pprof', 'profile', and protocol buffers, visit
 <https://github.com/google/pprof>.  <https://protobuf.dev>, and
 <https://github.com/r-prof/profile>, respectively.

Package: r-cran-profile
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-covr, r-cran-dm, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-rprotobuf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-profile_1.0.3-1.ca2004.1_all.deb
Size: 107632
MD5sum: 751b1d6179f2c9ea0fd53d4a26ef393c
SHA1: b4d07fcf78ef6d55ef075c7db753a9f35d0496c4
SHA256: 68bb661d9d3024e0289390267caec3e8ec429b678e629ae4c5efdb6d57ba7fc9
SHA512: 5e703761d7709ba74bd836995f833e4a1023f77f7676194509e350598ad2ed2f13b9746582b2b1d218ebb97440118aeb692d418cf569e8c0f831ff9efbca474f
Homepage: https://cran.r-project.org/package=profile
Description: CRAN Package 'profile' (Read, Manipulate, and Write Profiler Data)
 Defines a data structure for profiler data, and methods to read and write
 from the 'Rprof' and 'pprof' file formats.

Package: r-cran-profileci
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-itp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-profileci_1.0.0-1.ca2004.1_all.deb
Size: 71276
MD5sum: 8da1c19b706aeb1793b9af6b91c33c7f
SHA1: 8823e984d027f3de59fa73ec8d5bec1b0e345240
SHA256: 9acf5c082adddff881f0db8ede7f062752dcfd927418aa978fccff5fe720047c
SHA512: 08d2d5ae193256fc54ad7cfbed51103f3db49762736e40b36b59ba235c31eda9fea297bbfcbfeb7133f6129827ec6795e4a3d599c697833a683756e3b12afd55
Homepage: https://cran.r-project.org/package=profileCI
Description: CRAN Package 'profileCI' (Profiling a Log-Likelihood to Calculate Confidence Intervals)
 Provides tools for profiling a user-supplied log-likelihood function to
 calculate confidence intervals for model parameters. Speed of computation
 can be improved by adjusting the step sizes in the profiling and/or starting
 the profiling from limits based on the approximate large sample normal
 distribution for the maximum likelihood estimator of a parameter. The
 accuracy of the limits can be set by the user. A plot method visualises the
 log-likelihood and confidence interval. Only convex log-likelihoods are
 supported, that is, disjoint confidence intervals will not be found.

Package: r-cran-profileladder
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-chainladder, r-cran-raw
Filename: pool/dists/focal/main/r-cran-profileladder_0.1.2-1.ca2004.1_all.deb
Size: 161036
MD5sum: fca33e2f46667b8201fba3d4689f232e
SHA1: 37ce7e93a66c7bd2b189b1a697eb40e27b5a4fa0
SHA256: 8f0be9cf57449252e61cdedd697538e557e148d635c09d3864b9687f32c374be
SHA512: 1dd153b91ab7f70dbf70b44d0bfdd34d26dc0d33b840b31776533c095a9a2a2dbd61e6052ee3b43d3b72669bd1d567a384caa89949d1e1c6825b40946304cdea
Homepage: https://cran.r-project.org/package=ProfileLadder
Description: CRAN Package 'ProfileLadder' (Functional Profile Chain Ladder for Claims Reserving)
 Functional claims reserving methods based on aggregated chain-ladder data,
 also known as the run-off triangle (functional) development profiles,
 implemented in three nonparametric algorithms (PARALLAX, REACT, and MACRAME)
 proposed in Maciak, Mizera, and Pešta (2022) <doi:10.1017/asb.2022.4>.

Package: r-cran-profilelikelihood
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme, r-cran-mass
Filename: pool/dists/focal/main/r-cran-profilelikelihood_1.3-1.ca2004.1_all.deb
Size: 77804
MD5sum: e266deb1d546d43ee0a0dd5e9d400c81
SHA1: eb734b2ca9189d75b8d24d8aa41850aade727651
SHA256: 232692c1b8f41a4cb850541a6751744cca781862dc5bf9cc8a1e9329295358fa
SHA512: eefbae0cc41e689e03864109fa952e7578079a78f21eb48db25726dd335e3dee76dfdcab00f01c6beb6af601cff3e87135395ed5b218c2c1881ab385cffdc4e8
Homepage: https://cran.r-project.org/package=ProfileLikelihood
Description: CRAN Package 'ProfileLikelihood' (Profile Likelihood for a Parameter in Commonly Used StatisticalModels)
 Provides profile likelihoods for a parameter of interest in commonly used
 statistical models. The models include linear models, generalized linear
 models, proportional odds models, linear mixed-effects models, and linear
 models for longitudinal responses fitted by generalized least squares. The
 package also provides plots for normalized profile likelihoods as well as
 the maximum profile likelihood estimates and the kth likelihood support
 intervals.

Package: r-cran-profilemodel
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-gnm
Filename: pool/dists/focal/main/r-cran-profilemodel_0.6.1-1.ca2004.1_all.deb
Size: 105392
MD5sum: cc2097b17094433829f254d4c8a8747c
SHA1: 90342cb6f5333bae7fc2a472e16c4cc32ec84d1a
SHA256: f7331599392824d7fffcc6d2bcdc88c1af8e8f286bc451e73b49036e7d4f6a31
SHA512: b972eda21e087cca5d7dd3ac39c2f4ffc82cae713f54f91c87f28e99608f61a49a932ec985d37c28d217a27d1546010c5ab1f7be3564ea387e0b3083bfe92794
Homepage: https://cran.r-project.org/package=profileModel
Description: CRAN Package 'profileModel' (Profiling Inference Functions for Various Model Classes)
 Provides tools that can be used to calculate, evaluate, plot and use for
 inference the profiles of *arbitrary* inference functions for *arbitrary*
 'glm'-like fitted models with linear predictors. More information on the
 methods that are implemented can be found in Kosmidis (2008)
 <https://www.r-project.org/doc/Rnews/Rnews_2008-2.pdf>.

Package: r-cran-profiler
Architecture: all
Version: 0.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-reshape, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-profiler_0.3-5-1.ca2004.1_all.deb
Size: 180612
MD5sum: 074416e08a4a78d58baaf33d089fd63b
SHA1: c855771156c643294a1f317303dbbbfdf9e5cc05
SHA256: 33c7a0d0373237c35f8f191b32ab488373d2234912081f641260ff7117a01ac8
SHA512: d54d23ef75cf592210f6850e99fe862b151dec30ac7852b4de6a2002da28eff098c8c1886c300313429d3f790dd47cbbe934419fce3e295af10531f08dc14700
Homepage: https://cran.r-project.org/package=profileR
Description: CRAN Package 'profileR' (Profile Analysis of Multivariate Data in R)
 A suite of multivariate methods and data visualization tools to implement
 profile analysis and cross-validation techniques described in Davison &
 Davenport (2002) <DOI: 10.1037/1082-989X.7.4.468>, Bulut (2013), and other
 published and unpublished resources.  The package includes routines to
 perform criterion-related profile analysis, profile analysis via
 multidimensional scaling, moderated profile analysis, profile analysis by
 group, and a within-person factor model to derive score profiles.

Package: r-cran-profiplots
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 749
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-tidyverse, r-cran-qpdf, r-cran-scales, r-cran-purrr, r-cran-forcats, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggalluvial, r-cran-ggrepel, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-profiplots_0.2.3-1.ca2004.1_all.deb
Size: 300548
MD5sum: 5afd93e3d03ae8ca777b2a904350f682
SHA1: f85168ae33eaedb50bbc0293f87d633c1d6bb037
SHA256: c4eb6e04f1006493980b277af71a63ca03a6552d6295d4f5b62907dfb8089cba
SHA512: 7b2ee72358e28bfe3d45420340a4fb23bedfe255510bf3245f046e36483da196dba7cf0ad4d4710166a210389ba63fcd8d8606c2f0fdc9d66bc01a6accfa4bbc
Homepage: https://cran.r-project.org/package=profiplots
Description: CRAN Package 'profiplots' (Profinit Plotting Theme)
 Help unify visual output of R analyses in the Profinit EU company.  So far,
 there are color and fill scales for 'ggplot2', plotting theme for 'ggplot2',
 color palettes and utils to make the tools default choices.

Package: r-cran-profmem
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-r.rsp, r-cran-markdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-profmem_0.7.0-1.ca2004.1_all.deb
Size: 48672
MD5sum: 56af05569da69827c1f945ae19165921
SHA1: 3446a4a621fc414aa9776b2b05c15a4001addf44
SHA256: e8888a24445ca0cc2a9585c1395a75e7885258cdf21ff25c9c8e8a5e43873bde
SHA512: 4504652944f80252b50a0033f74e42e67d43b81fce1be4891d5a057c0158b99a16cf47d82fe9779bde63a9edb3364e2dbe8daf59fa7dc450ad83ecdf151c3b6f
Homepage: https://cran.r-project.org/package=profmem
Description: CRAN Package 'profmem' (Simple Memory Profiling for R)
 A simple and light-weight API for memory profiling of R expressions.  The
 profiling is built on top of R's built-in memory profiler
 ('utils::Rprofmem()'), which records every memory allocation done by R (also
 native code).

Package: r-cran-profounddata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2636
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sqldf, r-cran-dbi, r-cran-rsqlite, r-cran-rnetcdf, r-cran-settings, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-bayesiantools
Filename: pool/dists/focal/main/r-cran-profounddata_0.2.1-1.ca2004.1_all.deb
Size: 1711256
MD5sum: 14b6537a562bc0e242e3c875961b56cd
SHA1: 073672880832fe896c34bf307570b586ddea09d0
SHA256: 7ab08af964862d92976695dbd8be3fb005dab6b7202881333ac474722dffbe4a
SHA512: 57de72fdf53ae0bf7926cf9975184914b0360489353eeb3b833023718e5e0dfae5b7d7d52aa7a59fe57e9a37157aaded4e25a81e9b69a6ec83bdbf79430a6678
Homepage: https://cran.r-project.org/package=ProfoundData
Description: CRAN Package 'ProfoundData' (Downloading and Exploring Data from the PROFOUND Database)
 Provides an R interface for the PROFOUND database
 <doi:10.5880/PIK.2019.008>. The PROFOUND database contains a wide range of
 data to evaluate vegetation models and simulate climate impacts at the
 forest stand scale. It includes 9 forest sites across Europe, and provides
 for them a site description as well as soil, climate, CO2, Nitrogen
 deposition, tree-level, forest stand-level and remote sensing data.
 Moreover, for a subset of 5 sites, also time series of carbon fluxes, energy
 balances and soil water are available.

Package: r-cran-profr
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-stringr
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-profr_0.3.3-1.ca2004.1_all.deb
Size: 31660
MD5sum: 7f1b4a95d819a2759050307d0d20852f
SHA1: fa746aac07252edb0a09a3e5a5bcc72fe357ebce
SHA256: 3aeb20d7670561a4d5f4df6fad93b8b438b7a9651d4b710d5b777bc6c0afee49
SHA512: bf365e93705d568a4204976245be2b77f0507cc9974c2bb8f749b1e91e0ca4769a6831d1938ace118a855a6ac11effe7b8aef797e0a5dc89d3ebfc2fc4ebf30a
Homepage: https://cran.r-project.org/package=profr
Description: CRAN Package 'profr' (An Alternative Display for Profiling Information)
 An alternative data structure and visual rendering for the profiling
 information generated by Rprof.

Package: r-cran-profrep
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-profrep_1.0.0-1.ca2004.1_all.deb
Size: 76764
MD5sum: 1718cdd042dfbcbfea0d1ee432020f5a
SHA1: c32142721544535bf2476fe69d48c3bcda793839
SHA256: 867fe3c1b7fa2be9cff63747cc5746026f4fe95c4252c5e3e90d862918d16060
SHA512: f950932939d95e650d17c5c956b2f0ed16ceb388faa381a4a61b55a4bfb5651e6a5fac0349c73e2f45ad18bd6aa680599ce7060b990e00197b9c29596c9245e8
Homepage: https://cran.r-project.org/package=profrep
Description: CRAN Package 'profrep' (Profile Repeatability)
 Calculates profile repeatability for replicate stress response curves, or
 similar time-series data. Profile repeatability is an individual
 repeatability metric that uses the variances at each timepoint, the maximum
 variance, the number of crossings (lines that cross over each other), and
 the number of replicates to compute the repeatability score.  For more
 information see Reed et al. (2019) <doi:10.1016/j.ygcen.2018.09.015>.

Package: r-cran-proftools
Architecture: all
Version: 0.99-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1546
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-bioc-graph, r-bioc-rgraphviz, r-cran-boot, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-proftools_0.99-3-1.ca2004.1_all.deb
Size: 496916
MD5sum: 03b573414c7b5a80e05fab66c4a12344
SHA1: 55cfacfd35bb3f3edfeb363bb90be23372315cdf
SHA256: 2db8dd611f5e0b9eebf5cacd0c9932fc57db36b247c22a715920ad5d196c453c
SHA512: 766f70ad701417526d645164d7ccf686d6f00fbcabfb524da7eafdf4b10210b1e8fee5cf543f1bdc91263fb7a54cf9f9c29186b558e1a67f8a0f245eaeac08be
Homepage: https://cran.r-project.org/package=proftools
Description: CRAN Package 'proftools' (Profile Output Processing Tools for R)
 Tools for examining Rprof profile output.

Package: r-cran-progenyclust
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-progenyclust_1.2-1.ca2004.1_all.deb
Size: 59728
MD5sum: f4e873bff9581cdc307e0484d58db3d2
SHA1: a3da080729d03cd54ee081b2a5dad953a4672d09
SHA256: 5d8c801677442e8f4fd7eba855652556beb310e78d2fba5edcc190fcf1d33fe2
SHA512: 484b21aafbe325080c8d745aa61f2b26cebe4f07642b8f7e0a9b3fece2cc0eabc5886018de66ab52a4994b3b6808bbbd0de937fdc5df3537b726937e15ac4e2c
Homepage: https://cran.r-project.org/package=progenyClust
Description: CRAN Package 'progenyClust' (Finding the Optimal Cluster Number Using Progeny Clustering)
 Implementing the Progeny Clustering algorithm, the 'progenyClust' package
 assesses the clustering stability and identifies the optimal clustering
 number for a given data matrix. It uses k-means clustering as a default,
 provides a tailored hierarchical clustering function, and can be customized
 to work with other clustering algorithms and different parameter settings.
 The package includes a main function progenyClust(), plot and summary
 methods for 'progenyClust' object, a function hclust.progenyClust() for
 hierarchical clustering, and two example datasets (test and cell) for
 testing.

Package: r-cran-progmodule
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4185
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-infotheo, r-bioc-maftools, r-cran-patchwork, r-cran-pathwaytmb, r-cran-survival, r-cran-survminer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-progmodule_0.1.0-1.ca2004.1_all.deb
Size: 1539280
MD5sum: 9de0007b3e6b1c8d32344f0d2e1fa79e
SHA1: 59cb31e6fe17a1ebb6862ba6def02d6ce8f8f28d
SHA256: c3df4d0a95039076aad28ce764d69b4608d2acb8f97049cca6c188f35d771aa3
SHA512: d008a12825cd5fe6f8518091f2aa69641b0d74ab2b459b94fe21494e9991f6f19af656613f49de6193bff078ac97833c29cd76202cf5526298f3e4cbf63173ad
Homepage: https://cran.r-project.org/package=ProgModule
Description: CRAN Package 'ProgModule' (Identification of Prognosis-Related Mutually Exclusive Modules)
 A novel tool to identify candidate driver modules for predicting the
 prognosis of patients by integrating exclusive coverage of mutations with
 clinical characteristics in cancer.

Package: r-cran-prognosticroc
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-prognosticroc_0.7-1.ca2004.1_all.deb
Size: 27808
MD5sum: b5b5da5c7084e8a3ffc5667d1973ef07
SHA1: 73689e1c2b56c6891c0ada212fc3bfb0f0a7db30
SHA256: bb9d1428197d9ba51f48c6fdac238e004567796c0dd9b3844d912d590450f094
SHA512: f88c13e3bd57ed4c0febe26f73588d219f321f77e228254613b0e9b39fdca802c0fecbf387a8ef351f1dcf40ca12bffb2db2fa721486efe0a992e05838c7ba7e
Homepage: https://cran.r-project.org/package=prognosticROC
Description: CRAN Package 'prognosticROC' (Prognostic ROC curves for evaluating the predictive capacity ofa binary test)
 Prognostic ROC curve is an alternative graphical approach to represent the
 discriminative capacity of the marker: a receiver operating characteristic
 (ROC) curve by plotting 1 minus the survival in the high-risk group against
 1 minus the survival in the low-risk group. This package contains functions
 to assess prognostic ROC curve. The user can enter the survival according to
 a model previously estimated or the user can also enter individual survival
 data for estimating the prognostic ROC curve by using Kaplan-Meier
 estimator. The area under the curve (AUC) corresponds to the probability
 that a patient in the low-risk group has a longer lifetime than a patient in
 the high-risk group. The prognostic ROC curve provides complementary
 information compared to survival curves. The AUC is assessed by using the
 trapezoidal rules. When survival curves do not reach 0, the prognostic ROC
 curve is incomplete and the extrapolations of the AUC are performed by
 assuming pessimist, optimist and non-informative situations.

Package: r-cran-progress
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-hms, r-cran-prettyunits, r-cran-r6
Suggests: r-cran-rcpp, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-progress_1.2.3-1.ca2004.1_all.deb
Size: 84696
MD5sum: 4b20fcb9d9eaa574d1c43e746a77a247
SHA1: eb38b62be3d15fa1b9e76aa09728886aefc514b8
SHA256: d0657152ac40f4b6891e2c054b1ea4a83e36bc5faaaff8d1669670562d017a91
SHA512: 485e62121616bb7aa6bbce0f3c1390a244fc9290880b5e4c2ee9f920e8b898fc19f0758c4d6e5eff7365c797b39577401e03fa41671421f900691ec3fab90f26
Homepage: https://cran.r-project.org/package=progress
Description: CRAN Package 'progress' (Terminal Progress Bars)
 Configurable Progress bars, they may include percentage, elapsed time,
 and/or the estimated completion time. They work in terminals, in 'Emacs'
 'ESS', 'RStudio', 'Windows' 'Rgui' and the 'macOS' 'R.app'. The package also
 provides a 'C++' 'API', that works with or without 'Rcpp'.

Package: r-cran-progressr
Architecture: all
Version: 0.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1436
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest
Suggests: r-cran-beepr, r-cran-cli, r-cran-crayon, r-cran-pbmcapply, r-cran-progress, r-cran-purrr, r-cran-foreach, r-cran-plyr, r-cran-dofuture, r-cran-future, r-cran-future.apply, r-cran-furrr, r-cran-ntfy, r-cran-rpushbullet, r-cran-rstudioapi, r-cran-shiny, r-cran-commonmark, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-progressr_0.15.1-1.ca2004.1_all.deb
Size: 338376
MD5sum: 4d778dacb5d699676f29b7cf660282f9
SHA1: 6c4d61509f0d666d730e15baa70088310babc065
SHA256: 9c6499f74800fb49ffbd689ae995bc1beda9f03f43b070ec8d61812088f24389
SHA512: 692fcc2e5df5bfdbd29634b65949857d7c8db0f29c9ed0fea0094e9bbae7a09f082094a02602e7ee1c65c8e9b5bc1d0f1f196f30b87872bc66cad7bbef2a5dc0
Homepage: https://cran.r-project.org/package=progressr
Description: CRAN Package 'progressr' (An Inclusive, Unifying API for Progress Updates)
 A minimal, unifying API for scripts and packages to report progress updates
 from anywhere including when using parallel processing.  The package is
 designed such that the developer can to focus on what progress should be
 reported on without having to worry about how to present it.  The end user
 has full control of how, where, and when to render these progress updates,
 e.g. in the terminal using utils::txtProgressBar(), cli::cli_progress_bar(),
 in a graphical user interface using utils::winProgressBar(),
 tcltk::tkProgressBar() or shiny::withProgress(), via the speakers using
 beepr::beep(), or on a file system via the size of a file. Anyone can add
 additional, customized, progression handlers. The 'progressr' package uses
 R's condition framework for signaling progress updated. Because of this,
 progress can be reported from almost anywhere in R, e.g. from classical for
 and while loops, from map-reduce API:s like the lapply() family of
 functions, 'purrr', 'plyr', and 'foreach'. It will also work with parallel
 processing via the 'future' framework, e.g. future.apply::future_lapply(),
 furrr::future_map(), and 'foreach' with 'doFuture'. The package is
 compatible with Shiny applications.

Package: r-cran-projections
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-incidence, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-outbreaks, r-cran-magrittr, r-cran-distcrete, r-cran-svglite, r-cran-epiestim
Filename: pool/dists/focal/main/r-cran-projections_0.6.1-1.ca2004.1_all.deb
Size: 779836
MD5sum: 3e1653c4ffdea30b1ddcf45b46f60953
SHA1: 09f66cde28799edf131398bea5376a6086d0bf56
SHA256: f0ef5b5b3962c43521dd55d1a41085ed47092b0d3b2271357b8d701ddcab3d70
SHA512: 330c2c3873625e9559ce7150c02fadd1cf6c939da6965a953648770ad4e8c57b7206b501a02d2c575313fa8e4090345ce5337ed026913e09166ddf3fc62adfe8
Homepage: https://cran.r-project.org/package=projections
Description: CRAN Package 'projections' (Project Future Case Incidence)
 Provides functions and graphics for projecting daily incidence based on past
 incidence, and estimates of the serial interval and reproduction number.
 Projections are based on a branching process using a Poisson-distributed
 number of new cases per day, similar to the model used for estimating R in
 'EpiEstim' or in 'earlyR', and described by Nouvellet et al. (2017)
 <doi:10.1016/j.epidem.2017.02.012>. The package provides the S3 class
 'projections' which extends 'matrix', with accessors and additional helpers
 for handling, subsetting, merging, or adding these objects, as well as
 dedicated printing and plotting methods.

Package: r-cran-projectmanagement
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotly, r-cran-lpsolveapi, r-cran-triangle, r-cran-tuvalues, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-projectmanagement_2.0.2-1.ca2004.1_all.deb
Size: 165348
MD5sum: b09b5b86a5eb5e4830d367c073819280
SHA1: 1f987cace2d9c5b4ff7d255924fd94eff73c3866
SHA256: 456cb6fc715054e48dc144219a78aade31ab58961fb9ebc00c11894eec75adf3
SHA512: a0c947398290f5eea57991cb66391a230a4ffd8c2b6340b8cb6756b1ddc7fd80446cdf5318d473c85991c5767562ba5a6c15c148316bb51d3575966a65ab59b2
Homepage: https://cran.r-project.org/package=ProjectManagement
Description: CRAN Package 'ProjectManagement' (Management of Deterministic and Stochastic Projects)
 Management problems of deterministic and stochastic projects. It obtains the
 duration of a project and the appropriate slack for each activity in a
 deterministic context. In addition it obtains a schedule of activities' time
 (Castro, Gómez & Tejada (2007) <doi:10.1016/j.orl.2007.01.003>). It also
 allows the management of resources. When the project is done, and the actual
 duration for each activity is known, then it can know how long the project
 is delayed and make a fair delivery of the delay between each activity
 (Bergantiños, Valencia-Toledo & Vidal-Puga (2018)
 <doi:10.1016/j.dam.2017.08.012>). In a stochastic context it can estimate
 the average duration of the project and plot the density of this duration,
 as well as, the density of the early and last times of the chosen
 activities. As in the deterministic case, it can make a distribution of the
 delay generated by observing the project already carried out.

Package: r-cran-projects
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rstudioapi, r-cran-sessioninfo, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-forcats, r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-projects_2.1.3-1.ca2004.1_all.deb
Size: 237556
MD5sum: 942b01ee956e0a1b9a9858fcdd3f7fb1
SHA1: 02bc66c3628e135b6ebf7c6f812d229d0f1773cd
SHA256: 524075790901c3be555fd24efe6e8bfd24fc1584a7525e9208f09ec1735ef688
SHA512: fc2b69940290dd2e262d022e824dbf781b71424ab73b755955f0cd9aa928a41490567f7f043741edf15b7cc863de6df720be62df9634ee985f6fc3aad303c27d
Homepage: https://cran.r-project.org/package=projects
Description: CRAN Package 'projects' (A Project Infrastructure for Researchers)
 Provides a project infrastructure with a focus on manuscript creation.
 Creates a project folder with a single command, containing subdirectories
 for specific components, templates for manuscripts, and so on.

Package: r-cran-projecttemplate
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-tibble
Suggests: r-cran-foreign, r-cran-feather, r-cran-reshape, r-cran-plyr, r-cran-formatr, r-cran-qs, r-cran-stringr, r-cran-ggplot2, r-cran-lubridate, r-cran-log4r, r-cran-dbi, r-cran-rmysql, r-cran-rsqlite, r-cran-gdata, r-cran-rodbc, r-cran-rjdbc, r-cran-readxl, r-cran-xlsx, r-cran-tuner, r-cran-pixmap, r-cran-data.table, r-cran-rpostgresql, r-cran-getoptlong, r-cran-whisker, r-cran-testthat, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-projecttemplate_0.11.0-1.ca2004.1_all.deb
Size: 357508
MD5sum: 7a6d1bafd1e15af2c55c9800af43669b
SHA1: 7ca501ff2ee290b29bfb7cf484a4e5dd5da92e6b
SHA256: 0e63737a3a1903803aab44c47dca827457f961bd1f2a9c1e1d66e22343b8d903
SHA512: 8a094cdb6ef1e88beac4f4a646802150375784327c3a904ee3e9867d755cb3dca4d82933ab28ce6effa5ffed5664a76989928e11619577734945cb79bc71c923
Homepage: https://cran.r-project.org/package=ProjectTemplate
Description: CRAN Package 'ProjectTemplate' (Automates the Creation of New Statistical Analysis Projects)
 Provides functions to automatically build a directory structure for a new R
 project. Using this structure, 'ProjectTemplate' automates data loading,
 preprocessing, library importing and unit testing.

Package: r-cran-projmgr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gh, r-cran-magrittr
Suggests: r-cran-clipr, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-reprex, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-yaml, r-cran-htmltools, r-cran-httr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-projmgr_0.1.1-1.ca2004.1_all.deb
Size: 221472
MD5sum: 0a016c94b07ff4217b68a95078ca17be
SHA1: be666eda08ad55a14b1888e920408e025cadfab5
SHA256: 1d1b5ec62459aeb5e8095e6148b76a2ac835148c0eba325fb8ac90009d663a27
SHA512: 541a50b928b41190d0ec31728ffab1aaf48ad3701e999f73f154f5d23d8610cd69369def7af844dade437799f4176ad849e4be524b46c5cd11b75a4ea984111d
Homepage: https://cran.r-project.org/package=projmgr
Description: CRAN Package 'projmgr' (Task Tracking and Project Management with GitHub)
 Provides programmatic access to 'GitHub' API with a focus on project
 management.  Key functionality includes setting up issues and milestones
 from R objects or 'YAML' configurations, querying outstanding or completed
 tasks, and generating progress updates in tables, charts, and RMarkdown
 reports. Useful for those using 'GitHub' in personal, professional, or
 academic settings with an emphasis on streamlining the workflow of data
 analysis projects.

Package: r-cran-proliferativeindex
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1826
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-proliferativeindex_1.0.1-1.ca2004.1_all.deb
Size: 1712096
MD5sum: 442d9c02d9f18ad80f2f5b76dc6dc09c
SHA1: face4f18ca8c3d508b8ee7efb67f39c7bb56e3de
SHA256: 0d84866b5739a2e354cc51686886478f9fa8e1ae1e2b08cf56940df1c2eb39fc
SHA512: d2cd587be3bf2a26c9bc0e7f16a6c8d54e7eb9238b42d98008143fa93ef043ca01070b98fb9adeed5842be80130b0a3e72fe5e9c438e1af3a0016fc79285cbb6
Homepage: https://cran.r-project.org/package=ProliferativeIndex
Description: CRAN Package 'ProliferativeIndex' (Calculates and Analyzes the Proliferative Index)
 Provides functions for calculating and analyzing the proliferative index
 (PI) from an RNA-seq dataset. As described in Ramaker & Lasseigne, et al.
 bioRxiv, 2016 <doi:10.1101/063057>.

Package: r-cran-prolific.api
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4700
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-jsonlite
Suggests: r-cran-htmltools, r-cran-knitr, r-cran-reactable, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prolific.api_0.5.2-1.ca2004.1_all.deb
Size: 663148
MD5sum: fae208f02998c21c7600815378efa03b
SHA1: ccab2e93e6cc98a0c63082480330ebe16c42a0e5
SHA256: 957bf4ab5e797d9e323ff80f13e2e64a1040af5ba757bb43973ec0e5f521f8a8
SHA512: 95b3367155dbf00120ee8cd8bea7dccf801e710f034c8e443cdba3ceb13e007f12dee2d8fe9b39c6e6d0748943a68b1d543c988e7130d3b80c17550ed9882b38
Homepage: https://cran.r-project.org/package=prolific.api
Description: CRAN Package 'prolific.api' (A User-Friendly Interface for Accessing the Prolific API)
 A user-friendly interface for creating and managing empirical crowd-sourcing
 studies via API access to <https://www.prolific.co>.

Package: r-cran-prolsirm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-prolsirm_0.1.0-1.ca2004.1_all.deb
Size: 13360
MD5sum: 08bf7323093fc039700ac21fdf6826f4
SHA1: 2f37c92c6678de6e3a3fc6339fe817ca413f2232
SHA256: 775d8cb68eb94d14f2befc856f0672b0ad82df90e23b38e6f871922dcc9ceeaa
SHA512: 66e28875558167441ba633afff11d2c73c5d69b63c8d5fe6765cd96da4d63a513bec26b2fb6b6ea383d0febd932d9e271e3247c9e2fe5fd3bdbeab7db9e72113
Homepage: https://cran.r-project.org/package=prolsirm
Description: CRAN Package 'prolsirm' (Procrustes Matching for Latent Space Item Response Model)
 Procrustes matching of the posterior samples of person and item latent
 positions from latent space item response models. The methods implemented in
 this package are based on work by Borg, I., Groenen, P. (1997,
 ISBN:978-0-387-94845-4), Jeon, M., Jin, I. H., Schweinberger, M., Baugh, S.
 (2021) <doi:10.1007/s11336-021-09762-5>, and Andrew, D. M., Kevin M. Q.,
 Jong Hee Park. (2011) <doi:10.18637/jss.v042.i09>.

Package: r-cran-promethee123
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-promethee123_0.1.0-1.ca2004.1_all.deb
Size: 27416
MD5sum: ed0d89e0c7295893773c8975c58678e7
SHA1: eda0db9e6a9a02dba5a4ca558f2cbb5789163d87
SHA256: 1fa40b17d7e30209996f540591072d43398c4932bf1ed9b9ca5fe2bde1676a22
SHA512: db02e8e76e252fbaa34d0caf7fb5013a92ee0e5a5482743f05c3cbea66408900451246ce6943e78404d23573f7d6814f9d0203bcfbccbc18851c325c1c730549
Homepage: https://cran.r-project.org/package=promethee123
Description: CRAN Package 'promethee123' (PROMETHEE I, II, and III Methods)
 The PROMETHEE method is a multi-criteria decision-making method addressing
 with outranking problems.  The method establishes a preference structure
 between the alternatives, having a preference function for each criterion.
 IN this context, three variants of the method is carried out: PROMETHEE I
 (Partial Outranking), PROMETHEE II (Total Outranking), and PROMETHEE III
 (Outranking by Intervals).

Package: r-cran-promethee
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-promethee_1.1-1.ca2004.1_all.deb
Size: 274780
MD5sum: dbc6a16e149db3c44807b6b2446d7ebd
SHA1: 6b664f6afc346b28d39a1bd233f41d98dc26f72b
SHA256: 8845a79b0f63f9a553be7b6c0aa0b20969b9f3051c0cd983073beb00b7fc2ad4
SHA512: 4147bb4dd1c4187423150a1b319a169d46d2ac56222c4c61ab293362fe2e3f1c4c78a96407d0869456c68bb61929ddcdb666f9faef5c0eea95593402b511910b
Homepage: https://cran.r-project.org/package=PROMETHEE
Description: CRAN Package 'PROMETHEE' (Preference Ranking Organization METHod for Enrichment ofEvaluations)
 Functions which can be used to support the Multicriteria Decision Analysis
 (MCDA) process involving multiple criteria, by PROMETHEE (Preference Ranking
 Organization METHod for Enrichment of Evaluations).

Package: r-cran-prometheetools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-prometheetools_0.1.0-1.ca2004.1_all.deb
Size: 36832
MD5sum: d41df18e690b5720ea1ab0330f5569f2
SHA1: acdc41735b201d9f9f4971d9ec4533925fe9b2ca
SHA256: 784bb36db3999f0cb9012a2f096765387e83d5c632dbfcc28c0853a61bba4f86
SHA512: 1a07d2af296c0897011e82909e8563cdd3aac7eba42b7f0686c3e5edab434b4067c22955d9af6832cfcd1d7064e3a0892d1d14e3ddba434fc54fafef46415402
Homepage: https://cran.r-project.org/package=PrometheeTools
Description: CRAN Package 'PrometheeTools' (PROMETHEE and GLNF for Ranking and Sorting Problems)
 PROMETHEE (Preference Ranking Organisation METHod for Enrichment of
 Evaluations) based method assesses alternatives to obtain partial and
 complete rankings. The package also provides the GLNF (Global Local Net
 Flow) sorting algorithm to classify alternatives into ordered categories, as
 well as an index function to measure the classification quality. Barrera,
 F., Segura, M., & Maroto, C. (2023) <doi:10.1111/itor.13288>. Brans, J.P.;
 De Smet, Y., (2016) <doi:10.1007/978-1-4939-3094-4_6>.

Package: r-cran-promor
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3694
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reshape2, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-bioc-limma, r-cran-statmod, r-bioc-pcamethods, r-cran-vim, r-cran-missforest, r-cran-caret, r-cran-kernlab, r-cran-xgboost, r-cran-naivebayes, r-cran-viridis, r-cran-proc
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-promor_0.2.1-1.ca2004.1_all.deb
Size: 3442720
MD5sum: a084ba7cf3bc94674fbcf4bc574102b7
SHA1: e7d1e6bbc933ccad7d25b3aa2f8c70041db183f0
SHA256: 40cb352730ea066d208088e73d1133f113c3752694508a01c64265dc04880278
SHA512: 184641fb99e5e13566478908eed4b972eb185dd85429739ce7c1ced6912cc192390432f74f418eba60e65fbc0867ac550756867e68a7ae7c3550d1a1b37ab452
Homepage: https://cran.r-project.org/package=promor
Description: CRAN Package 'promor' (Proteomics Data Analysis and Modeling Tools)
 A comprehensive, user-friendly package for label-free proteomics data
 analysis and machine learning-based modeling. Data generated from 'MaxQuant'
 can be easily used to conduct differential expression analysis, build
 predictive models with top protein candidates, and assess model performance.
 promor includes a suite of tools for quality control, visualization, missing
 data imputation (Lazar et. al. (2016) <doi:10.1021/acs.jproteome.5b00981>),
 differential expression analysis (Ritchie et. al. (2015)
 <doi:10.1093/nar/gkv007>), and machine learning-based modeling (Kuhn (2008)
 <doi:10.18637/jss.v028.i05>).

Package: r-cran-promote
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-promote_1.1.1-1.ca2004.1_all.deb
Size: 60216
MD5sum: 8906fa74c29d024d6c81baf3108bb4f4
SHA1: f964e8c586967cee509ca888ad7b56e555df8513
SHA256: cda669a005decdcafb5918db3837f7d2c0e0485ff3c17046ca8a83266b1fa140
SHA512: a9f0b4707e2f33b520201d587dbb5ca61a6beddf204245a0119eda13d0c8115f589c7a441edf4fd87423045ce3c251df0ac05fdc0770b03da0167daa44bd481a
Homepage: https://cran.r-project.org/package=promote
Description: CRAN Package 'promote' (Client for the 'Alteryx Promote' API)
 Deploy, maintain, and invoke predictive models using the 'Alteryx Promote'
 REST API.  'Alteryx Promote' is available at the URL:
 <https://www.alteryx.com/products/alteryx-promote>.

Package: r-cran-promotionimpact
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-kernsmooth, r-cran-ggpubr, r-cran-reshape2, r-cran-stringr, r-cran-strucchange, r-cran-lmtest, r-cran-crayon, r-cran-prophet
Filename: pool/dists/focal/main/r-cran-promotionimpact_0.1.5-1.ca2004.1_all.deb
Size: 122556
MD5sum: c09a11332cb1fa10b4690340cf38ee4e
SHA1: 52ea73ec12dfd05af9d93eda9314db5d9a2b00b5
SHA256: 251b74d91b2820d20e80ec542d21e26ab4324168c8b0e3df3b896882b96a87bf
SHA512: 7a64719bbfedc7baab43e6f366134caf9b0fddde9ef685f50b21681567ecd9a153f0cfca9a1d6dd3e7d30e7e63880a884d9769e92310911c915beac5bd5a8e28
Homepage: https://cran.r-project.org/package=promotionImpact
Description: CRAN Package 'promotionImpact' (Analysis & Measurement of Promotion Effectiveness)
 Analysis and measurement of promotion effectiveness on a given target
 variable (e.g. daily sales). After converting promotion schedule into dummy
 or smoothed predictor variables, the package estimates the effects of these
 variables controlled for trend/periodicity/structural change using prophet
 by Taylor and Letham (2017) <doi:10.7287/peerj.preprints.3190v2> and some
 prespecified variables (e.g. start of a month).

Package: r-cran-prompt
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli
Suggests: r-cran-callr, r-cran-gert, r-cran-mockery, r-cran-pkgload, r-cran-ps, r-cran-r6, r-cran-rstudioapi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-prompt_1.0.2-1.ca2004.1_all.deb
Size: 200568
MD5sum: a855cd17d69314d887dfeeb5689d5580
SHA1: 116bf6d8d402c163a80d027f2ace2bc9ebae34b2
SHA256: c085031adc46c5705d23485e01a60e8561624ee3a8140df1aebfa27ffa44e540
SHA512: f87b8db875cbb90a98ecff4ac41efd12c880448c5dc6c109d807964a8cd92b53236e9bef04d7bd934782a0d932db64e9a4b429d4a21adbf8bbfe87f93ba0302e
Homepage: https://cran.r-project.org/package=prompt
Description: CRAN Package 'prompt' (Dynamic 'R' Prompt)
 Set the 'R' prompt dynamically, from a function. The package contains some
 examples to include various useful dynamic information in the prompt: the
 status of the last command (success or failure); the amount of memory
 allocated by the current 'R' process; the name of the R package(s) loaded by
 'pkgload' and/or 'devtools'; various 'git' information: the name of the
 active branch, whether it is dirty, if it needs pushes pulls. You can also
 create your own prompt if you don't like the predefined examples.

Package: r-cran-prompter
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-prompter_1.2.0-1.ca2004.1_all.deb
Size: 16384
MD5sum: 3adaddcb8788284732181ef9bd80b8bd
SHA1: 2de747d40c9eaeb885cf11e7a44612befc2833f0
SHA256: 59d6b83ac208c4f577c78ff6cd264f13d615f38f4685bb04424d18ba3e35fe1d
SHA512: cc8347c3dbb92239b0cf1e6ebaf24f457e648927de238da17a0ef9d4bd27512440321cbe220de5958b16ce8f0999570aa3e58cb3da1f2aec61f0e9073eaa90ca
Homepage: https://cran.r-project.org/package=prompter
Description: CRAN Package 'prompter' (Add Tooltips in 'Shiny' Apps with 'Hint.css')
 In 'Shiny' apps, it is sometimes useful to store information on a particular
 item in a tooltip. 'Prompter' allows you to easily create such tooltips,
 using 'Hint.css'.

Package: r-cran-promptr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-promptr_1.0.0-1.ca2004.1_all.deb
Size: 190676
MD5sum: 632fdff7fafb916ca874f713074dfe12
SHA1: 3ad340253d35dbed8f1f28176607cab26884179c
SHA256: 26cc453f48112510259fdbca8926e27494a03396413e369a1118a4d8495bc792
SHA512: cc6cdf92badcb97da560470e34a291bb45247cc1952ed00248db6d946c61d7fcb527319bbf64fbb1dc51ba360c2225edc0605622318b27e5156a59eb7538a292
Homepage: https://cran.r-project.org/package=promptr
Description: CRAN Package 'promptr' (Format and Complete Few-Shot LLM Prompts)
 Format and submit few-shot prompts to OpenAI's Large Language Models (LLMs).
 Designed to be particularly useful for text classification problems in the
 social sciences. Methods are described in Ornstein, Blasingame, and Truscott
 (2024)
 <https://joeornstein.github.io/publications/ornstein-blasingame-truscott.pdf>.

Package: r-cran-promr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-tibble, r-cran-urltools
Suggests: r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-promr_0.1.3-1.ca2004.1_all.deb
Size: 67108
MD5sum: 9fbd6bff4bcefd3e1c7d1d61c1a36a03
SHA1: c853da08362b6031809b8d6df1939714a587b23d
SHA256: 4adccefb46e8e8fc863d835e910a95af46120aae224ec2e5c74e5e483647808f
SHA512: 830e079e393d7340e9266b511d9e67cb219e109e90084983ce4110add021dc06708f28f3093f37086c8902d6a797adfca667607f5638746bd49c51eaafd53d2b
Homepage: https://cran.r-project.org/package=promr
Description: CRAN Package 'promr' (Prometheus 'PromQL' Query Client for 'R')
 A native 'R' client library for querying the 'Prometheus' time-series
 database, using the 'PromQL' query language.

Package: r-cran-prop.comb.rr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-prop.comb.rr_1.2-1.ca2004.1_all.deb
Size: 127184
MD5sum: 9b0ee3449a8c489b64e62e770665915a
SHA1: 9ed8eae6021750bb3d43a06b2b498062b87521d7
SHA256: e08cdb46e24fea883b34ede3e6c419eff187e9455142f08ef7b280c10704309d
SHA512: e7f33c2d793206c7ff800e878f33e7e81c3cc408fa009e4754c25fb6aee8f2244f2a9e23d48f113a037608d0caa5c09eebe9fc1be009a90bc726fbe6ff627e3b
Homepage: https://cran.r-project.org/package=prop.comb.RR
Description: CRAN Package 'prop.comb.RR' (Analyzing Combination of Proportions and Relative Risk)
 Carrying out inferences about any linear combination of proportions and the
 ratio of two proportions.

Package: r-cran-propcis
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-propcis_0.3-0-1.ca2004.1_all.deb
Size: 95104
MD5sum: f1c767aba0eda87e3cb78335d1ca3c59
SHA1: 6ae3dc2a6020f8fdda18adf9b579054db11ca514
SHA256: a6ed59d8c53f1cb12760617ad02b7a7d2aae8f40ea28f9eca39ac26142582448
SHA512: 44bed81bd6db06d2945246773bc1a653fad201b3a72e8510bc460ab18681eaa50e7108c50274b18388473ed9c3a8a819983e291f0a1dd8549c1c6bdb67625ddd
Homepage: https://cran.r-project.org/package=PropCIs
Description: CRAN Package 'PropCIs' (Various Confidence Interval Methods for Proportions)
 Computes two-sample confidence intervals for single, paired and independent
 proportions.

Package: r-cran-properties
Architecture: all
Version: 0.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-properties_0.0-9-1.ca2004.1_all.deb
Size: 14672
MD5sum: 42e7d4fd76c174d8c1409dd4ee17b430
SHA1: 15e4e0368ec22d2395f29430411826333979173a
SHA256: 0a23a632f3565215d25f9cbf99e896937c522f551d0905b1383538a53ffc27ed
SHA512: 2062a8b1040d5b05e7230927a62b45a4b199aef01cd80672530518a0c66dace1c1014ce72efaea058c18dfff58ea3cf00eebdf2a6fc8acaaa35e90dfa939a71a
Homepage: https://cran.r-project.org/package=properties
Description: CRAN Package 'properties' (Parse 'Java' Properties Files for 'R Service Bus' Applications)
 Allows to parse 'Java' properties files in the context of 'R Service Bus'
 applications.

Package: r-cran-proporz
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-shiny, r-cran-shinymatrix, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-proporz_1.5.1-1.ca2004.1_all.deb
Size: 233312
MD5sum: 0d7022c6da7db741db12e06fb4482bc6
SHA1: e552de83439e1cfed486c206c38827351c59492d
SHA256: af6264da1499897b59ff96c1872962285a9f4310469aa17be4d2884db784c6ee
SHA512: d0b88dd7eaae5530cd18a148eb0b935161aee9a0a8947e5ed435a026d34aefd0ac6935de4765e323e003e647b7b6e05610a7980b8c59d7a4cf2355b3da6d321a
Homepage: https://cran.r-project.org/package=proporz
Description: CRAN Package 'proporz' (Proportional Apportionment)
 Calculate seat apportionment for legislative bodies with various methods.
 The algorithms include divisor or highest averages methods (e.g. Jefferson,
 Webster or Adams), largest remainder methods and biproportional
 apportionment.  Gaffke, N. & Pukelsheim, F. (2008)
 <doi:10.1016/j.mathsocsci.2008.01.004> Oelbermann, K. F. (2016)
 <doi:10.1016/j.mathsocsci.2016.02.003>.

Package: r-cran-propoverlap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4757
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-propoverlap_1.0-1.ca2004.1_all.deb
Size: 4838536
MD5sum: 3217c3d0077457ce520d859dd6b4563d
SHA1: 240db02dbd3fdc4a6672540ab756f76882cc5891
SHA256: 8e580bd394a46c07e7b181a1c0708f504bc6f0f00298640726186e89367edfa3
SHA512: 400373f7da8d1244184ce3115be49aac7069445c0568cabe2d884a4799b9218a277fdbe258918286f8d2f462695c31dc74c0d54caf04062bf9df0b2f790df99a
Homepage: https://cran.r-project.org/package=propOverlap
Description: CRAN Package 'propOverlap' (Feature (gene) selection based on the Proportional OverlappingScores)
 A package for selecting the most relevant features (genes) in the
 high-dimensional binary classification problems. The discriminative features
 are identified using analyzing the overlap between the expression values
 across both classes. The package includes functions for measuring the
 proportional overlapping score for each gene avoiding the outliers effect.
 The used measure for the overlap is the one defined in the "Proportional
 Overlapping Score (POS)" technique for feature selection. A gene mask which
 represents a gene's classification power can also be produced for each gene
 (feature). The set size of the selected genes might be set by the user. The
 minimum set of genes that correctly classify the maximum number of the given
 tissue samples (observations) can be also produced.

Package: r-cran-propscrrand
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-propscrrand_1.1.2-1.ca2004.1_all.deb
Size: 35024
MD5sum: aa3fa46a4ba6d411e1f2bf555a9c8e75
SHA1: ef49bd467ebc617a7092e409cdd1c12bff60f8bd
SHA256: cb73e9cf8b7bb8feada8eb23aa50b10ceedfe2d99436e0f2269a4255b5271bee
SHA512: b8e79a30d6f0a462904d64bdde04f4ab31e8bc4fe8073bcdb48c6029d9e59f6c350096534e0e82e233440f5c72d5c3ff0d573db3082f64ad9a6c4734f393f107
Homepage: https://cran.r-project.org/package=PropScrRand
Description: CRAN Package 'PropScrRand' (Propensity Score Methods for Assigning Treatment in RandomizedTrials)
 Contains functions to run propensity-biased allocation to balance covariate
 distributions in sequential trials and propensity-constrained randomization
 to balance covariate distributions in trials with known baseline covariates
 at time of randomization.  Currently only supports trials comparing two
 groups.

Package: r-cran-propubbills
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-propubbills_0.1-1.ca2004.1_all.deb
Size: 22284
MD5sum: 745c1fcc400d3677140e5b297991cb18
SHA1: 9719204489ebf233d9d0679b99ed8aa9ae33d47e
SHA256: 631549d011f3746c3376fbb0874d536da49a9bb5a227f4457e3226991162f5d0
SHA512: 5bbed8d78bdee3395126362d60221e11e6e106b96a607a01b56616b6e47ab6ba46c169fdc6f474c9cea00513086aa24ca498823cf1b94139a5d9b330f9340305
Homepage: https://cran.r-project.org/package=proPubBills
Description: CRAN Package 'proPubBills' ('ProPublica' U.S. Congress Bills API Wrapper)
 An API wrapper around the 'ProPublica' API
 <https://projects.propublica.org/api-docs/congress-api/> for U.S.
 Congressional Bills. Users can include their API key, U.S. Congress, branch,
 and offset ranges, to return a dataframe of all results within those
 parameters. This package is different from the 'RPublica' package because it
 is for the 'ProPublica' U.S. Congress data API, and the 'RPublica' package
 is for the Nonprofit Explorer, Forensics, and Free the Files data APIs.

Package: r-cran-propublicar
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-httr, r-cran-config, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-httptest, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-propublicar_1.1.4-1.ca2004.1_all.deb
Size: 285884
MD5sum: 8c5e199eabc55babc401641759cd3a39
SHA1: a61975c38a3947734950292d0a83910bb94fd7c9
SHA256: 207f2ea585827cdb9341c7d5434a3baf0f846989f665587a17380addbe031832
SHA512: faebf9f2bd95d4364dbf4adfb5aef49c693ebe51def7f49c0c59e1a6ae3ed939ef3ee3af4ad556c82d7c9eefc70185803ecdd4be32dd6ef59b5b69fc6c7cf45e
Homepage: https://cran.r-project.org/package=ProPublicaR
Description: CRAN Package 'ProPublicaR' (Access Functions for ProPublica's APIs)
 Provides wrapper functions to access the ProPublica's Congress and Campaign
 Finance APIs.  The Congress API provides near real-time access to
 legislative data from the House of Representatives, the Senate and the
 Library of Congress.  The Campaign Finance API provides data from United
 States Federal Election Commission filings and other sources. The API covers
 summary information for candidates and committees, as well as certain types
 of itemized data.  For more information about these APIs go to:
 <https://www.propublica.org/datastore/apis>.

Package: r-cran-proreg
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fmsb, r-cran-car, r-cran-rcolorbrewer, r-cran-matrixcalc, r-cran-rootsolve, r-cran-numderiv, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-proreg_1.3-1.ca2004.1_all.deb
Size: 168520
MD5sum: 48973f945beb16b7be28f7fd470d5fc8
SHA1: 8977ec13aaae1610d1a2a0c6839a1fdcde17e321
SHA256: 8e31b04cfc04f19525f8c6a1fbccead5dbe2837159fac51c1c45be260fbddeb7
SHA512: 8cc865098ca1b0b1830fcb9ef3321e5889cadd2daea45b5ea2d434c7cca9e265170b7026b2fba6ab17020a2a95950f625ab9641e673a1deca8fc9f0e0f2fa58b
Homepage: https://cran.r-project.org/package=PROreg
Description: CRAN Package 'PROreg' (Patient Reported Outcomes Regression Analysis)
 It offers a wide variety of techniques, such as graphics, recoding, or
 regression models, for a comprehensive analysis of patient-reported outcomes
 (PRO). Especially novel is the broad range of regression models based on the
 beta-binomial distribution useful for analyzing binomial data with
 over-dispersion in cross-sectional, longitudinal, or multidimensional
 response studies (see Najera-Zuloaga J., Lee D.-J. and Arostegui I. (2019)
 <doi:10.1002/bimj.201700251>).

Package: r-cran-proscorer
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-proscorertools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-proscorer_0.0.4-1.ca2004.1_all.deb
Size: 102240
MD5sum: f756588b5cbc3c782aefb7cb25fe6c95
SHA1: 13c04de8b61b0bc9148f704a27f4394b3a4944a9
SHA256: 746942c4bccc5fb7595039d991f35de3e3680b7d0860b7c716b35ee2a3d4e0c6
SHA512: 5dad47f332a16a76054d6e97b073075a24e151c6ab1ef600b186e48445273ad33a3250910acdea68e08c4f1d2f5ef04487aca31fa770deb562ea2d5da9b919b6
Homepage: https://cran.r-project.org/package=PROscorer
Description: CRAN Package 'PROscorer' (Functions to Score Commonly-Used Patient-Reported Outcome (PRO)Measures and Other Psychometric Instruments)
 An extensible repository of accurate, up-to-date functions to score commonly
 used patient-reported outcome (PRO), quality of life (QOL), and other
 psychometric and psychological measures.  'PROscorer', together with the
 'PROscorerTools' package, is a system to facilitate the incorporation of PRO
 measures into research studies and clinical settings in a scientifically
 rigorous and reproducible manner.  These packages and their vignettes are
 intended to help establish and promote best practices for scoring PRO and
 PRO-like measures in research.  The 'PROscorer' Instrument Descriptions
 vignette contains descriptions of each instrument scored by 'PROscorer',
 complete with references.  These instrument descriptions are suitable for
 inclusion in formal study protocol documents, grant proposals, and
 manuscript Method sections.  Each 'PROscorer' function is composed of helper
 functions from the 'PROscorerTools' package, and users are encouraged to
 contribute new functions to 'PROscorer'.  More scoring functions are
 currently in development and will be added in future updates.

Package: r-cran-proscorertools
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-proscorertools_0.0.4-1.ca2004.1_all.deb
Size: 76280
MD5sum: 4417a4b7a28b86dc593e8dcc1d4a681b
SHA1: c8195d43f27eb4bc247b8e83e9fd03efdefa1822
SHA256: 8457e07cf54fa6179cb2e3df06991a9f270e9d2941a1a2475b6da54e0b82d7f8
SHA512: 03e11f6559b549c39c3a920679a98686245846f131edbca3b1a85852bd14ed3578427717691ed858915bbda7b33dd8cdf3b0960142f59a972008a4777b030dfd
Homepage: https://cran.r-project.org/package=PROscorerTools
Description: CRAN Package 'PROscorerTools' (Tools to Score Patient-Reported Outcome (PRO) and OtherPsychometric Measures)
 Provides a reliable and flexible toolbox to score patient-reported outcome
 (PRO), Quality of Life (QOL), and other psychometric measures. The guiding
 philosophy is that scoring errors can be eliminated by using a limited
 number of well-tested, well-behaved functions to score PRO-like measures.
 The workhorse of the package is the 'scoreScale' function, which can be used
 to score most single-scale measures. It can reverse code items that need to
 be reversed before scoring and pro-rate scores for missing item data.
 Currently, three different types of scores can be output: summed item
 scores, mean item scores, and scores scaled to range from 0 to 100. The
 'PROscorerTools' functions can be used to write new functions that score
 more complex measures. In fact, 'PROscorerTools' functions are the building
 blocks of the scoring functions in the 'PROscorer' package (which is a
 repository of functions that score specific commonly-used instruments).
 Users are encouraged to use 'PROscorerTools' to write scoring functions for
 their favorite PRO-like instruments, and to submit these functions for
 inclusion in 'PROscorer' (a tutorial vignette will be added soon). The
 long-term vision for the 'PROscorerTools' and 'PROscorer' packages is to
 provide an easy-to-use system to facilitate the incorporation of PRO
 measures into research studies in a scientifically rigorous and reproducible
 manner. These packages and their vignettes are intended to help establish
 and promote "best practices" for scoring and describing PRO-like measures in
 research.

Package: r-cran-prosgpv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3714
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-brglm2, r-cran-mass, r-cran-survival
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-prosgpv_1.0.0-1.ca2004.1_all.deb
Size: 2335304
MD5sum: e85c4f53f607cf72823d1a39f8b32c09
SHA1: 188f17bda75489bcf68cb866816d0e2e0734d2a3
SHA256: 27302aedc9d13b7497ff66ab3d4bd608fc09285a2035d367553ef3f1548ee50e
SHA512: 76a78c48e7695cd94aed5000367c193d86437ce6f1d2b50cc2895a1e999107e2dc99eea502affb9f8f4dcf7842bc9c1bac0fe725d64f018c16ba2fbb7fb3612d
Homepage: https://cran.r-project.org/package=ProSGPV
Description: CRAN Package 'ProSGPV' (Penalized Regression with Second-Generation P-Values)
 Implementation of penalized regression with second-generation p-values for
 variable selection. The algorithm can handle linear regression, GLM, and Cox
 regression. S3 methods print(), summary(), coef(), predict(), and plot() are
 available for the algorithm. Technical details can be found at Zuo et al.
 (2021) <doi:10.1080/00031305.2021.1946150>.

Package: r-cran-prosper
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-prosper_0.3.3-1.ca2004.1_all.deb
Size: 259176
MD5sum: ff28080b73b5aba7a1ebc59ef61e6530
SHA1: 08205566033896bf3b1e3e76bc5f7ed09757f70c
SHA256: 70ad003dbcac1eafe04b175b4f81118e60308906bc9de900c16307aedfec6a1b
SHA512: 3c5889ecfeb1ef5949765ebef968c0d37bbe21bd3621a0fef36325713ea51021011c0430aa71ab5e8851c83d61c350e0708d91ab434cad6fb6beb8443214991a
Homepage: https://cran.r-project.org/package=PROSPER
Description: CRAN Package 'PROSPER' (Simulation of Weed Population Dynamics)
 An environment to simulate the development of annual plant populations with
 regard to population dynamics and genetics, especially herbicide resistance.
 It combines genetics on the individual level (Renton et al. 2011) with a
 stochastic development on the population level (Daedlow, 2015).  Renton, M,
 Diggle, A, Manalil, S and Powles, S (2011) <doi:10.1016/j.jtbi.2011.05.010>
 Daedlow, Daniel (2015, doctoral dissertation: University of Rostock, Faculty
 of Agriculture and Environmental Sciences.)

Package: r-cran-prosportsdraftdata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5005
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prosportsdraftdata_1.0.3-1.ca2004.1_all.deb
Size: 2565316
MD5sum: 42d8021fab96e81c5ae70e36a7379fe8
SHA1: 855ddd7792a067a65a7a3cf912bb0962a7e6a1d6
SHA256: d4aec87ccfec1ce1b82d93e7c4c6f44da2caa54de38824c6169d1d60d6906319
SHA512: 4fcfde790f8f3dea7982f560d80cc937138d791aaf822a1846c5cd853a14cae4dd050a4d546a0e6c8e03c3c4062438c9a1bf6bf755ccc62269cc743051a91a1e
Homepage: https://cran.r-project.org/package=ProSportsDraftData
Description: CRAN Package 'ProSportsDraftData' (Professional Sports Draft Data)
 We provide comprehensive draft data for major professional sports leagues,
 including the National Football League (NFL), National Basketball
 Association (NBA), and National Hockey League (NHL). It offers access to
 both historical and current draft data, allowing for detailed analysis and
 research on player biases and player performance. The package is useful for
 sports fans and researchers interested in identifying biases and trends
 within scouting reports. Created by web scraping data from leading websites
 that cover professional sports player scouting reports, the package allows
 users to filter and summarize data for analytical purposes. For further
 details on the methods used, please refer to Wickham (2022) "rvest: Easily
 Harvest (Scrape) Web Pages" <https://CRAN.R-project.org/package=rvest> and
 Harrison (2023) "RSelenium: R Bindings for Selenium WebDriver"
 <https://CRAN.R-project.org/package=RSelenium>.

Package: r-cran-protag
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-rcolorbrewer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-protag_1.0.0-1.ca2004.1_all.deb
Size: 57688
MD5sum: 7136092cbb772e8ea3ca31abd415597d
SHA1: 6af98be48dfd788af469568d953da7ed36e9adb1
SHA256: dfd3bacfbab06d0a73dc2d5d6faf8466c7d59b0862448138e266b223d1c149a1
SHA512: 73e32f48ac915a5b34c0b7e63606ef72ea84861e6748a2307e7abf196d2365509e59a981b53a156131b23826637484720fd04efd196e8b44d66c3333fab11d12
Homepage: https://cran.r-project.org/package=protag
Description: CRAN Package 'protag' (Search Tagged Peptides & Draw Highlighted Mass Spectra)
 In a typical protein labelling procedure, proteins are chemically tagged
 with a functional group, usually at specific sites, then digested into
 peptides, which are then analyzed using matrix-assisted laser desorption
 ionization - time of flight mass spectrometry (MALDI-TOF MS) to generate
 peptide fingerprint. Relative to the control, peptides that are heavier by
 the mass of the labelling group are informative for sequence determination.
 Searching for peptides with such mass shifts, however, can be difficult.
 This package, designed to tackle this inconvenience, takes as input the mass
 list of two or multiple MALDI-TOF MS mass lists, and makes pairwise
 comparisons between the labeled groups vs. control, and restores centroid
 mass spectra with highlighted peaks of interest for easier visual
 examination. Particularly, peaks differentiated by the mass of the labelling
 group are defined as a “pair”, those with equal masses as a “match”, and all
 the other peaks as a “mismatch”.For more bioanalytical background
 information, refer to following publications: Jingjing Deng (2015)
 <doi:10.1007/978-1-4939-2550-6_19>; Elizabeth Chang (2016)
 <doi:10.7171/jbt.16-2702-002>.

Package: r-cran-prote
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-vegan, r-cran-uniprotr, r-cran-stringr, r-cran-missranger, r-cran-car, r-cran-openxlsx, r-cran-tidyr, r-cran-broom, r-cran-reshape2, r-cran-ggpubr, r-cran-ggplot2, r-cran-vim, r-cran-forcats, r-bioc-limma, r-cran-pheatmap
Suggests: r-cran-biocmanager, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-prote_1.0.3-1.ca2004.1_all.deb
Size: 1920588
MD5sum: 35d97f6fb47b7dd03148b151dad9f8f5
SHA1: f9e9a634c8185767f1665e7e38224fbeb1d960a9
SHA256: b15d37046a530ff88545f47b7b5d5de651b09be07cb52f75667ef22a3eaefb9a
SHA512: 9ff0749e823b92232629ed7138461a521f042f0056fc96a4b554d7ec3b8c742b68590e6b4d16d1c9c940584b75880aefaad7123a5e09aceab13c7df628cb5d1f
Homepage: https://cran.r-project.org/package=ProtE
Description: CRAN Package 'ProtE' (Processing Proteomics Data, Statistical Analysis andVisualization)
 The 'Proteomics Eye' ('ProtE') offers a comprehensive and intuitive
 framework for the univariate analysis of label-free proteomics data. By
 integrating essential data wrangling and processing steps into a single
 function, 'ProtE' streamlines pairwise statistical comparisons for
 categorical variables. It provides quality checks and generates
 publication-ready visualizations, enabling efficient and robust data
 analysis. 'ProtE' is compatible with proteomics data outputs from 'MaxQuant'
 (Cox & Mann, (2008) <doi:10.1038/nbt.1511>), 'DIA-NN' (Demichev et al.,
 (2020) <doi:10.1038/s41592-019-0638-x>), and 'Proteome Discoverer' (Thermo
 Fisher Scientific, version 2.5). The package leverages 'ggplot2' for
 visualization (Wickham, (2016) <doi:10.1007/978-3-319-24277-4>) and 'limma'
 for statistical analysis (Ritchie et al., (2015) <doi:10.1093/nar/gkv007>).

Package: r-cran-protein8k
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4513
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pryr, r-cran-lattice, r-cran-magick, r-cran-dplyr, r-cran-gridextra, r-cran-ggplot2, r-cran-rjson, r-cran-rlang, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-protein8k_0.0.1-1.ca2004.1_all.deb
Size: 2256744
MD5sum: 1a6f2b6f7e76364266f8afcb40d0648e
SHA1: 6db403ebdd30049a2a80b141f1af0c11ce9a5c3d
SHA256: 6559862f4326d80874dbcb3ba51e1e5d5bb902937c69c698188601e8e632fb04
SHA512: 0ce312522b3ce88076a24cba3b6dd74f5788382ef8e33dd809521bcf1e02c720518e4674ff710fea81ad9c7fbfed9492e52b8c2fa8ecae00bb05f3fda0be13cd
Homepage: https://cran.r-project.org/package=protein8k
Description: CRAN Package 'protein8k' (Perform Analysis and Create Visualizations of Proteins)
 Read Protein Data Bank (PDB) files, performs its analysis, and presents the
 result using different visualization types including 3D. The package also
 has additional capability for handling Virus Report data from the National
 Center for Biotechnology Information (NCBI) database.  Nature Structural
 Biology 10, 980 (2003) <doi:10.1038/nsb1203-980>.  US National Library of
 Medicine (2021)
 <https://www.ncbi.nlm.nih.gov/datasets/docs/reference-docs/data-reports/virus/>.

Package: r-cran-proteinpca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proteinpca_0.1.0-1.ca2004.1_all.deb
Size: 18048
MD5sum: 82cbb3001ed86c44e3de1222ddd9f011
SHA1: e73121c4233772ca22bb7f60e6ec9530f56b0b3a
SHA256: 2c1c6097e83c04c9d63011ddb34f5884b4b415e55f1c38599a94bccfa9adf5d9
SHA512: 03691962add2c2aa09f3b5843dcfdf5bb67238ba84d1b96bc20a18cc679f346997b69938f335d376d349d4edab786aabed677c7bc046a9199474650543e55ea8
Homepage: https://cran.r-project.org/package=ProteinPCA
Description: CRAN Package 'ProteinPCA' (Principal Component Analysis (PCA) Tool on Protein ExpressionData)
 Analysis of protein expression data can be done through Principal Component
 Analysis (PCA), and this R package is designed to streamline the analysis.
 This package enables users to perform PCA and it generates biplot and scree
 plot for advanced graphical visualization. Optionally, it supports
 grouping/clustering visualization with PCA loadings and confidence ellipses.
 With this R package, researchers can quickly explore complex protein
 datasets, interpret variance contributions, and visualize sample clustering
 through intuitive biplots. For more details, see Jolliffe (2001)
 <doi:10.1007/b98835>, Gabriel (1971) <doi:10.1093/biomet/58.3.453>, Zhang et
 al. (2024) <doi:10.1038/s41467-024-53239-9>, and Anandan et al. (2022)
 <doi:10.1038/s41598-022-07781-5>.

Package: r-cran-proteobayes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-mvtnorm, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-extradistr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proteobayes_1.0.0-1.ca2004.1_all.deb
Size: 140412
MD5sum: 8e3cc0feb87a1792246ae79c066f43c2
SHA1: 9f265fe165ba58eb78942dd15c70b3fcfb889343
SHA256: 7df9b7b034eb7a3f141c28469c3e533284a5b8da68c95abbcdc048fae4d72210
SHA512: 198536926fec7aa507e4fd703084218ebbed7d07d16a4d97bccfecfecc81c5978a18eb8535870304ad60563a1293aa2de12ef172a745fedaaad29420e8a44375
Homepage: https://cran.r-project.org/package=ProteoBayes
Description: CRAN Package 'ProteoBayes' (Bayesian Statistical Tools for Quantitative Proteomics)
 Bayesian toolbox for quantitative proteomics. In particular, this package
 provides functions to generate synthetic datasets, execute Bayesian
 differential analysis methods, and display results as, described in the
 associated article Marie Chion and Arthur Leroy (2023) <arXiv:2307.08975>.

Package: r-cran-proteomicdesign
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-proteomicdesign_2.0-1.ca2004.1_all.deb
Size: 129124
MD5sum: bad8457ac657de1f0a91dec49f616e8f
SHA1: 1970e327ba543df2bc1366163a7c05e8018efa66
SHA256: 6c4709a7da967bb18535438c08502f2337606a476eacaceff0d53a11682ea619
SHA512: da38269f4fbc7a90330fe3f9dd0dc4a4e376a87ded76e4e345d45548a280447059bacd0b29495bc7517c0042fdd2f9c56b1e934a231249c3e1a5449537dfa40a
Homepage: https://cran.r-project.org/package=proteomicdesign
Description: CRAN Package 'proteomicdesign' (Optimization of a multi-stage proteomic study)
 This package provides functions to identify the optimal solution that
 maximizes numbers of detectable differentiated proteins from a multi-stage
 clinical proteomic study.

Package: r-cran-proteomics
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-reshape2, r-cran-ggplot2, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-proteomics_0.2-1.ca2004.1_all.deb
Size: 89080
MD5sum: fe0daecbb6c6fef3e466e51c72617ccc
SHA1: 32c89a79587a614caf4c03ceec6d4e2d500661bc
SHA256: 8305a642b271270919ecf8b6973aca2560f598dda3dcb063ed520a438c495f86
SHA512: 1c6971803082dd2d28f3260fbd7ca04f2556d249df0aa7d0d9f7dac763df90de1d09e4f870ce5fb31ae709ecbdd926a284a6dbf6563e6c429d5de03895b0efe8
Homepage: https://cran.r-project.org/package=proteomics
Description: CRAN Package 'proteomics' (Statistical Analysis of High Throughput Proteomics Data)
 Provides methods for making inference in isobaric labelled LC-MS/MS
 experiments, i.e. iTRAQ experiments. It provides a function that reasonably
 parses a CSV-export from Proteome Discoverer(TM) into a data frame that can
 be easily handled in R. Functions and methods are provided for quality
 control, filtering, norming, and the calculation of response variables for
 further analysis. The merging of multiple iTRAQ experiments with respect to
 a reference is also covered.

Package: r-cran-proteomicscv
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-proteomicscv_0.4.0-1.ca2004.1_all.deb
Size: 11552
MD5sum: 419732b4a146847aca7b41deed148728
SHA1: 3974ad4c9804f067905a041ed7a22043c29b6d55
SHA256: 17e46c148e4d335113ed0fe8df5b670c9b1380d71da3523f7e974de05b0fc51b
SHA512: 410b1342ab5e97f9ccba15890361295e7d542f13abce1d0251092377e1701bbd3083d15aa1c123d52c6ab40376d12d0dfd78b960981e74ec3551101da89ebd1f
Homepage: https://cran.r-project.org/package=proteomicsCV
Description: CRAN Package 'proteomicsCV' (Calculates the Percentage CV for Mass Spectrometry-BasedProteomics Data)
 Calculates the percentage coefficient of variation (CV) for mass
 spectrometry-based proteomic data. The CV can be calculated with the
 traditional formula for raw (non log transformed) intensity data, or log
 transformed data.

Package: r-cran-proteus
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-abind, r-cran-ggplot2, r-cran-ggthemes, r-cran-readr, r-cran-stringr, r-cran-lubridate, r-cran-narray, r-cran-fancova, r-cran-imputets, r-cran-modeest, r-cran-scales, r-cran-tictoc, r-cran-torch, r-cran-moments, r-cran-dplyr, r-cran-greybox, r-cran-furrr, r-cran-future
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proteus_1.1.5-1.ca2004.1_all.deb
Size: 232844
MD5sum: c6e1f34085034499fc94b0561ac73a2c
SHA1: f0ca7738103fcb6d9e22430f98f8c8daafbe8a0e
SHA256: 4f10f9deb062027e5d3019d8089e00e7bb457a1801a9fed6919d2ca0ebe52855
SHA512: 6adfeeaac302bc2ac8cd6078224cf287f3b862d42d3369a651a2bb1675d2cf1d3303017f733dfac94f1dc279519c12b01932dd244d0e30812e75b34fa9378f80
Homepage: https://cran.r-project.org/package=proteus
Description: CRAN Package 'proteus' (Multiform Seq2Seq Model for Time-Feature Analysis)
 Seq2seq time-feature analysis based on variational model, with a wide range
 of distributions available for the latent variable.

Package: r-cran-prothmm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gtools, r-cran-phontools
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-prothmm_0.1.1-1.ca2004.1_all.deb
Size: 171472
MD5sum: 4dcad47ad71741f3d96a5ea93f1280b3
SHA1: 26335e93e8fa03b3bbe8329b3e996ce3612c3e2f
SHA256: b62970dab27cd6149889c85296332a93aa8292be560bdb0b8f8d6fd45b7864d0
SHA512: 4f0e531cfea34793d1b2135079935527cc4dd1240fb0f431f44dbf970cd353fe872de7479654235d0ab2d76d383b776a68e102ab75096e572bf27617779942f6
Homepage: https://cran.r-project.org/package=protHMM
Description: CRAN Package 'protHMM' (Protein Feature Extraction from Profile Hidden Markov Models)
 Calculates a comprehensive list of features from profile hidden Markov
 models (HMMs) of proteins.  Adapts and ports features for use with HMMs
 instead of Position Specific Scoring Matrices, in order to take advantage of
 more accurate multiple sequence alignment by programs such as 'HHBlits'
 Remmert et al. (2012) <DOI:10.1038/nmeth.1818> and 'HMMer' Eddy (2011)
 <DOI:10.1371/journal.pcbi.1002195>. Features calculated by this package can
 be used for protein fold classification, protein structural class
 prediction, sub-cellular localization and protein-protein interaction, among
 other tasks. Some examples of features extracted are found in Song et al.
 (2018) <DOI:10.3390/app8010089>, Jin & Zhu (2021)
 <DOI:10.1155/2021/8629776>, Lyons et al. (2015)
 <DOI:10.1109/tnb.2015.2457906> and Saini et al. (2015)
 <DOI:10.1016/j.jtbi.2015.05.030>.

Package: r-cran-proto
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-proto_1.0.0-1.ca2004.1_all.deb
Size: 465308
MD5sum: e77c0fe513cb5b47797c3c9544b869f8
SHA1: 5e78525484f12babadf404682d6e9cdfd6340116
SHA256: cf8bb0a9c3296a0b5255969ba3890bd4a219d7125018e9ab2c97a6cbf3d6114c
SHA512: 2fd76242eea7f940f9e50d4c8433bc91a199d01be64aead273463cf4041029fd495fc84028d6cb2e46a5b4e874d32028cfe60c7eb5c6e69bf3f43eeb15d67ef7
Homepage: https://cran.r-project.org/package=proto
Description: CRAN Package 'proto' (Prototype Object-Based Programming)
 An object oriented system using object-based, also called prototype-based,
 rather than class-based object oriented ideas.

Package: r-cran-protoclass
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-class
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-protoclass_1.0-1.ca2004.1_all.deb
Size: 36648
MD5sum: e3f5ebf18e412d1b927875017b9c31f4
SHA1: 7e9de8801fb026ded88d6f23f4a0169e9c4298e1
SHA256: 75e3f783cbb4dd3146d7e93957bb3a690765ad35361341dde840d5ccdbf650c7
SHA512: 52ca0c761b199cdd6b861b8d268e4d76735588211e343757dc8c91adf9ce32a66c4e4da63dba4e0b3b55bc95bf944c31ceaed92c3a304d6c69dd513c0431212c
Homepage: https://cran.r-project.org/package=protoclass
Description: CRAN Package 'protoclass' (Interpretable classification with prototypes)
 Greedy algorithm described in Bien and Tibshirani (2011) Prototype Selection
 for Interpretable Classification. Annals of Applied Statistics. 5(4).
 2403-2424

Package: r-cran-proton
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Filename: pool/dists/focal/main/r-cran-proton_1.0-1.ca2004.1_all.deb
Size: 500192
MD5sum: 1279f3b572abd9b2258e25af043ab28b
SHA1: 549c4759f56dad97d2b49b092e14409bf2b605ba
SHA256: 8a3ae794743466b59f650cb9731589dca448bccfabc46056110fcdf8f28244a1
SHA512: b1f289ac3e8a496b6555c0fd78ecb19bf2f00a3d22c60a523fea8560540014ca1c156f4ad01d4a8e0b294ef5d8819067f7e278f4c9d0855dd35d8f2b8788d30b
Homepage: https://cran.r-project.org/package=proton
Description: CRAN Package 'proton' (The Proton Game)
 'The Proton Game' is a console-based data-crunching game for younger and
 older data scientists.  Act as a data-hacker and find Slawomir Pietraszko's
 credentials to the Proton server.  You have to solve four data-based puzzles
 to find the login and password.  There are many ways to solve these puzzles.
 You may use loops, data filtering, ordering, aggregation or other tools.
 Only basics knowledge of R is required to play the game, yet the more
 functions you know, the more approaches you can try.  The knowledge of dplyr
 is not required but may be very helpful.  This game is linked with the
 ,,Pietraszko's Cave'' story available at http://biecek.pl/BetaBit/Warsaw.
 It's a part of Beta and Bit series.  You will find more about the Beta and
 Bit series at http://biecek.pl/BetaBit.

Package: r-cran-protoshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1687
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dt, r-cran-dynamictreecut, r-cran-protoclust, r-cran-rare, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinythemes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-protoshiny_0.1.0-1.ca2004.1_all.deb
Size: 1423600
MD5sum: 26860ac8ba7b0f60af1e71986448e6ea
SHA1: baf0dc76a657a5cbfdb15986dcb86ad21ad75dc8
SHA256: d22d0d1c2e99ee842ceb58ee5c96dfbe74094c07e6b614f491004eef0ad4f727
SHA512: 7ecbb0e0f8f4aa60be754d35055ff624c95079f4fbe5b5ba46154370f2333443414cff972cffa14d613aa9ac81669d70c70981d0b5d670021a78130bb4708499
Homepage: https://cran.r-project.org/package=protoshiny
Description: CRAN Package 'protoshiny' (Interactive Dendrograms for Visualizing Hierarchical Clusterswith Prototypes)
 Shiny app to interactively visualize hierarchical clustering with
 prototypes.  For details on hierarchical clustering with prototypes, see
 Bien and Tibshirani (2011) <doi:10.1198/jasa.2011.tm10183>. This package
 currently launches the application.

Package: r-cran-protr
Architecture: all
Version: 1.7-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3230
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biostrings, r-bioc-gosemsim, r-cran-foreach, r-cran-doparallel, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-protr_1.7-4-1.ca2004.1_all.deb
Size: 1515340
MD5sum: 16c6bae464436bd592032d4e97a8dff2
SHA1: 8f96011c22ddbbc957eecd0438542ff96ca69d22
SHA256: 21a6dbbd11875dda5a3e3dfb00f37f585a7f0192847194d731488b53064e58eb
SHA512: 285caaccda2375c15dbe9ef3307142f20a48c023c98631b31245e98155c16fb6b2f0c78d6f3ab9f952ec4c0d2adf6cd0c88d4448e63d133331930e83376de96c
Homepage: https://cran.r-project.org/package=protr
Description: CRAN Package 'protr' (Generating Various Numerical Representation Schemes for ProteinSequences)
 Comprehensive toolkit for generating various numerical features of protein
 sequences described in Xiao et al. (2015)
 <DOI:10.1093/bioinformatics/btv042>. For full functionality, the software
 'ncbi-blast+' is needed, see
 <https://blast.ncbi.nlm.nih.gov/doc/blast-help/downloadblastdata.html> for
 more information.

Package: r-cran-protrackr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-audio, r-cran-lattice, r-cran-signal, r-cran-tune
Suggests: r-cran-amigaffh
Filename: pool/dists/focal/main/r-cran-protrackr_0.4.4-1.ca2004.1_all.deb
Size: 907972
MD5sum: 626a7167428cd8264023479e0ce9744a
SHA1: 8ba3c579847956c053af2f66f8f08d0242c11770
SHA256: 1b250804f35222ccb11667ebf6a76b6abc979a8f4f7b9fee12656855f3ec2e21
SHA512: 7a55a99627214a99ede407c98b3c8fe47fb27bdff843f21f116929d7fba08c10fc51faff49e9dd608d6026d4d0d1e128e1f17bddf1346027e8bc11a818f59ff4
Homepage: https://cran.r-project.org/package=ProTrackR
Description: CRAN Package 'ProTrackR' (Manipulate and Play 'ProTracker' Modules)
 'ProTracker' is a popular music tracker to sequence music on a Commodore
 Amiga machine. This package offers the opportunity to import, export,
 manipulate and play 'ProTracker' module files. Even though the file format
 could be considered archaic, it still remains popular to this date. This
 package intends to contribute to this popularity and therewith keeping the
 legacy of 'ProTracker' and the Commodore Amiga alive.

Package: r-cran-protti
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2287
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-data.table, r-cran-janitor, r-cran-progress, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-forcats, r-cran-tibble, r-cran-plotly, r-cran-ggrepel, r-cran-curl, r-cran-readr, r-cran-lifecycle, r-cran-httr, r-cran-r.utils
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-r3dmol, r-bioc-proda, r-bioc-limma, r-cran-dendextend, r-cran-pheatmap, r-cran-heatmaply, r-cran-furrr, r-cran-future, r-cran-seriation, r-cran-drc, r-cran-igraph, r-cran-stringi, r-bioc-stringdb, r-cran-iq, r-cran-scales, r-cran-farver, r-cran-ggforce, r-cran-xml2, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-protti_0.9.1-1.ca2004.1_all.deb
Size: 1724584
MD5sum: 067c800f9ff6d8ea582926899469419f
SHA1: a9a3eab309c564cf7706d3eb39d7356d85761ee5
SHA256: b99f8a5b6bb53b36a58f67bfcd91f04e06538820cac9bd260512f347b5fdb75c
SHA512: 08ae159eaf287735fbc4ebcc1cbef8f5bbb6c1040d1f541bd135439dc9cf664e379e319dba90338e75b93eab1d302f34d9d3a3549f1a7bb8519b903c47417f7c
Homepage: https://cran.r-project.org/package=protti
Description: CRAN Package 'protti' (Bottom-Up Proteomics and LiP-MS Quality Control and DataAnalysis Tools)
 Useful functions and workflows for proteomics quality control and data
 analysis of both limited proteolysis-coupled mass spectrometry (LiP-MS)
 (Feng et. al. (2014) <doi:10.1038/nbt.2999>) and regular bottom-up
 proteomics experiments. Data generated with search tools such as
 'Spectronaut', 'MaxQuant' and 'Proteome Discover' can be easily used due to
 flexibility of functions.

Package: r-cran-proustr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3032
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rlang, r-cran-tidyr, r-cran-tokenizers, r-cran-snowballc, r-cran-attempt
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-proustr_0.4.0-1.ca2004.1_all.deb
Size: 2973920
MD5sum: 5bc1e3755df5d4947d26d1e1214d6710
SHA1: 849b1ad1425fb8610d7161c3f7d706a487df5393
SHA256: bb262d773b3eee9901fd1dfb2a0ec73cce294b89e2c71e1ccd29b80cc93b6a9d
SHA512: 2265e47648c3cffcab35cfae42aba6d79f59ea791defc640feb6487b4d75886dff7cf416fcc97a24f4c80b3deadc423c368dcb4bc25cbc25caf2c53c3b066f48
Homepage: https://cran.r-project.org/package=proustr
Description: CRAN Package 'proustr' (Tools for Natural Language Processing in French)
 Tools for Natural Language Processing in French and texts from Marcel
 Proust's collection "A La Recherche Du Temps Perdu". The novels contained in
 this collection are "Du cote de chez Swann ", "A l'ombre des jeunes filles
 en fleurs","Le Cote de Guermantes", "Sodome et Gomorrhe I et II", "La
 Prisonniere", "Albertine disparue", and "Le Temps retrouve".

Package: r-cran-provdebugr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-provgraphr, r-cran-provparser, r-cran-textutils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provdebugr_1.0.1-1.ca2004.1_all.deb
Size: 147420
MD5sum: ce884baf2ea4cddede3f427756cf845a
SHA1: f74a84b2cbba60371b0b42647b98e44eaede0c91
SHA256: ebb2c7b8d1627f91aff9b831bcf363144a8a73ffcde51323ef5c53ab0d906132
SHA512: c691ce80e36646772fa520de3087201eb6914e66b17c46b580b4f3f86a19522bd07e5a4d90583f3435dae418701b196c0714fe85b184186bec7eeb53dbe1fcdb
Homepage: https://cran.r-project.org/package=provDebugR
Description: CRAN Package 'provDebugR' (A Time-Travelling Debugger)
 Uses provenance post-execution to help the user understand and debug their
 script by providing functions to look at intermediate steps and data values,
 their forwards and backwards lineage, and to understand the steps leading up
 to warning and error messages. 'provDebugR' uses provenance produced by
 'rdtLite' (available on CRAN), stored in PROV-JSON format.

Package: r-cran-provenance
Architecture: all
Version: 4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-transport, r-cran-t4transport
Filename: pool/dists/focal/main/r-cran-provenance_4.4-1.ca2004.1_all.deb
Size: 822832
MD5sum: 8e36a9480928690d3474bad61fac115b
SHA1: ae94bac7d8fe0bfde4d8895a58b2aa3fd6689d58
SHA256: e174a41ac820895ffa6aa446a3c0cdf3bf521a283d8947b89f4b070de048d510
SHA512: bd7281a9ae7f447f2a348dd25a318ae6c131a4306bb02abf52105ce532683c280070abef4354c1b594ff91a9263aa64bd0e7b70cb4bdd69de50dc321fdc9b105
Homepage: https://cran.r-project.org/package=provenance
Description: CRAN Package 'provenance' (Statistical Toolbox for Sedimentary Provenance Analysis)
 Bundles a number of established statistical methods to facilitate the visual
 interpretation of large datasets in sedimentary geology. Includes
 functionality for adaptive kernel density estimation, principal component
 analysis, correspondence analysis, multidimensional scaling, generalised
 procrustes analysis and individual differences scaling using a variety of
 dissimilarity measures. Univariate provenance proxies, such as single-grain
 ages or (isotopic) compositions are compared with the Kolmogorov-Smirnov,
 Kuiper, Wasserstein-2 or Sircombe-Hazelton L2 distances. Categorical
 provenance proxies such as chemical compositions are compared with the
 Aitchison and Bray-Curtis distances,and count data with the chi-square
 distance. Varietal data can either be converted to one or more
 distributional datasets, or directly compared using the multivariate
 Wasserstein distance. Also included are tools to plot compositional and
 count data on ternary diagrams and point-counting data on radial plots, to
 calculate the sample size required for specified levels of statistical
 precision, and to assess the effects of hydraulic sorting on detrital
 compositions. Includes an intuitive query-based user interface for users who
 are not proficient in R.

Package: r-cran-proverbs
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-crayon, r-cran-httr2, r-cran-glue, r-cran-lubridate, r-cran-purrr, r-cran-rvest, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proverbs_0.4.0-1.ca2004.1_all.deb
Size: 320532
MD5sum: 00a7595b044a9d482dd6808ced67e50c
SHA1: 9f53de751b9515688724d9841bed8f10e8673341
SHA256: 5913ec7c38b9f0859da85aecdf3c39c9c3ecb8c195030b39b09023b7a6a6f61f
SHA512: c41ed04aba27fdf1565b57ea849ddcf9817d8b6d9af258ed1c60a2a40407290260c820d34956fd6de7e6eba36487342cda812fe4739b469aabc55c723cb72311
Homepage: https://cran.r-project.org/package=proverbs
Description: CRAN Package 'proverbs' (Print a Daily Bible Proverb to Console)
 A simple package to grab a Bible proverb corresponding to the day of the
 month.

Package: r-cran-provexplainr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-provparser, r-cran-diffobj, r-cran-digest, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provexplainr_1.1.1-1.ca2004.1_all.deb
Size: 68608
MD5sum: 06f2a6328543ead22d606c74b709b90a
SHA1: e1bdff5027eec0b8f324a2249a5bf8686e795870
SHA256: 016fc9c3186d30186ddda116e407cc2102ccb8da36752e772b1d80e38ac05fe4
SHA512: f1e7bc6afb3c276780a66a8b83d68b00e1dcada664ead91d7006e1d19fed7ba046959f6af79ff1ac47073993b62a205ce60c0633c1cca5dcdf765679576e49b2
Homepage: https://cran.r-project.org/package=provExplainR
Description: CRAN Package 'provExplainR' (Compare Provenance Collections to Explain Changed Script Outputs)
 Inspects provenance collected by the 'rdt' or 'rdtLite' packages, or other
 tools providing compatible PROV JSON output created by the execution of a
 script, and find differences between two provenance collections. Factors
 under examination included the hardware and software used to execute the
 script, versions of attached libraries, use of global variables, modified
 inputs and outputs, and changes in main and sourced scripts. Based on
 detected changes, 'provExplainR' can be used to study how these factors
 affect the behavior of the script and generate a promising diagnosis of the
 causes of different script results. More information about 'rdtLite' and
 associated tools is available at <https://github.com/End-to-end-provenance/>
 and Barbara Lerner, Emery Boose, and Luis Perez (2018), Using Introspection
 to Collect Provenance in R, Informatics, <doi:10.3390/informatics5010012>.

Package: r-cran-provgraphr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-provparser
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provgraphr_1.0.1-1.ca2004.1_all.deb
Size: 102792
MD5sum: 70cd8b12673213d131c731e44ca9041d
SHA1: be9a7c54ae75779e8045e3f3e43c0e24afddd91f
SHA256: bd842076c84dfe39c6acbc9853f7f50ffa589a502afa6a687fe64be85623fc62
SHA512: 2b71848246830dc18849261daf887fdf85dc58298a639728a041d9d5cad44d752331cb652dc36c43f4d5120d9ce5705c02b8e27b50bd87e7abc395aabe33fa07
Homepage: https://cran.r-project.org/package=provGraphR
Description: CRAN Package 'provGraphR' (Creates Adjacency Matrices for Lineage Searches)
 Creates and manages a provenance graph corresponding to the provenance
 created by the 'rdtLite' package, which collects provenance from R scripts.
 'rdtLite' is available on CRAN.  The provenance format is an extension of
 the W3C PROV JSON format
 (<https://www.w3.org/Submission/2013/SUBM-prov-json-20130424/>).  The
 extended JSON provenance format is described in
 <https://github.com/End-to-end-provenance/ExtendedProvJson>.

Package: r-cran-provparser
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provparser_1.0-1.ca2004.1_all.deb
Size: 143556
MD5sum: 3b098ad8a56b51632e94d6c1e37cedc1
SHA1: 1d7179a3ce4bf5ab11b895af9e5ce5343234ad7f
SHA256: f92a86b33cfdc8f8ea98c30b9bd73581bae93e7b0fffb45d28e0cd55b9e2f9ac
SHA512: 4e62bbaaabc837b3820c6c8e12311eb90c1e67f4d264cf923d665253a4fe29e22d631ca6adbfc6f6bfc2f0f29fc51f20a6c8acaaed8219aa77f75e8543eb3776
Homepage: https://cran.r-project.org/package=provParseR
Description: CRAN Package 'provParseR' (Pulls Information from Prov.Json Files)
 R functions to access provenance information collected by 'rdt' or
 'rdtLite'.  The information is stored inside a 'ProvInfo' object and can be
 accessed through a collection of functions that will return the requested
 data. The exact format of the JSON created by 'rdt' and 'rdtLite' is
 described in <https://github.com/End-to-end-provenance/ExtendedProvJson>.

Package: r-cran-provsummarizer
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-provparser
Suggests: r-cran-digest, r-cran-knitr, r-cran-rdtlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provsummarizer_1.5.1-1.ca2004.1_all.deb
Size: 53052
MD5sum: 1d2c18d076b3553fc84c1067a33d61b4
SHA1: aee5540c0597949bda3672c22088f88d5c8d4828
SHA256: 64a84ffc6078456373af7ca2018ea497f38669c4163c47311a703166587a6e49
SHA512: c5e76585e5c5ec70d28b044300f22de1af9c6a3634a2e071126f4a35bbac227ffe7dd860c3299ceb9f6316527d70e42e5c921de1457cbb7eb80343252d141027
Homepage: https://cran.r-project.org/package=provSummarizeR
Description: CRAN Package 'provSummarizeR' (Summarizes Provenance Related to Inputs and Outputs of a Scriptor Console Commands)
 Reads the provenance collected by the 'rdtLite' or 'rdt' packages, or other
 tools providing compatible PROV JSON output, created by the execution of a
 script or a console session, and provides a human-readable summary
 identifying the input and output files, the scripts used (if any), errors
 and warnings produced, and the environment in which it was executed.  It can
 also optionally package all the files into a zip file.  The exact format of
 the PROV JSON file created by 'rdtLite' and 'rdt' is described in
 <https://github.com/End-to-end-provenance/ExtendedProvJson>.  More
 information about 'rdtLite' and associated tools is available at
 <https://github.com/End-to-end-provenance/> and Lerner, Boose, and Perez
 (2018), Using Introspection to Collect Provenance in R, Informatics, <doi:
 10.3390/informatics5010012>.

Package: r-cran-provtracer
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-provparser
Suggests: r-cran-digest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-provtracer_1.0-1.ca2004.1_all.deb
Size: 42232
MD5sum: 8b50293dcbd76beae95e2ea5c34576c4
SHA1: d862c5dcf78a1a6ac91b4c20f6c7911347513263
SHA256: 33df643ba5b0f2c6d07aa188aad46d61d9896e1fc2a12fe168dab292e2f92ceb
SHA512: 297c04d4d9dfb8bad4ec5cfa0e3399a8134da3ef5bba74a3be64bd04dc90b45ec773ce6b7a0c26c5c7ddba63aa4ec4609841a6c42d4b969b4bf7159a78f3b7f7
Homepage: https://cran.r-project.org/package=provTraceR
Description: CRAN Package 'provTraceR' (Uses Provenance to Trace File Lineage for One or more R Scripts)
 Uses provenance collected by 'rdtLite' package or comparable tool to display
 information about input files, output files, and exchanged files for a
 single R script or a series of R scripts.

Package: r-cran-provviz
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3481
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-rdtlite
Filename: pool/dists/focal/main/r-cran-provviz_1.0.9-1.ca2004.1_all.deb
Size: 3142780
MD5sum: 31b8aef2b645862d4ca1d7a0ef55db7f
SHA1: 965c87e311c3431addebeb56ed009f8a23f02fb1
SHA256: 4c6192e3ebfe997dc8b1acfe7327d8b16015c5be1391de1c0f7a8647e1922e9b
SHA512: ff6d109fd13936f3449c3c03b68d04b76bb16ab23aaa459c69b87bfcfd6287f6f35567aa85a3a626a434aa348d084208f8b6ea368b4be80bd439b5760d13342f
Homepage: https://cran.r-project.org/package=provViz
Description: CRAN Package 'provViz' (Provenance Visualizer)
 Displays provenance graphically for provenance collected by the 'rdt' or
 'rdtLite' packages, or other tools providing compatible PROV JSON output.
 The exact format of the JSON created by 'rdt' and 'rdtLite' is described in
 <https://github.com/End-to-end-provenance/ExtendedProvJson>.  More
 information about rdtLite and associated tools is available at
 <https://github.com/End-to-end-provenance/> and Barbara Lerner, Emery Boose,
 and Luis Perez (2018), Using Introspection to Collect Provenance in R,
 Informatics, <doi: 10.3390/informatics5010012>.

Package: r-cran-proxirr
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-proxirr_0.4-1.ca2004.1_all.deb
Size: 43596
MD5sum: f1e39dc8f56e4dedf9f8e3ce1b4a1291
SHA1: 7740c52dbec0b4d81157353f47c3b477fab53fa6
SHA256: 65ad5d6896362d6d8a92d901ddbb1ef25336ea4764ea4e6ee285f6c67e3f4971
SHA512: b6db454284960e0e07a750807d72ddbe2db118cbfad7af685097e50eb39d9c670c2b5ff416e2f3cf3dfe6bfd1997c2a94de5f4b30bba721d1f3ebf932eb96c00
Homepage: https://cran.r-project.org/package=proxirr
Description: CRAN Package 'proxirr' (Alpha and Beta Proximity to Irreplaceability)
 Functions to measure Alpha and Beta Proximity to Irreplaceability.  The
 methods for Alpha and Beta irreplaceability were first described in: Baisero
 D., Schuster R. & Plumptre A.J.  Redefining and Mapping Global
 Irreplaceability.  Conservation Biology 2021;1-11.
 <doi:10.1111/cobi.13806>.

Package: r-cran-proxreg
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-bioc-ebimage, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-proxreg_1.1.2-1.ca2004.1_all.deb
Size: 508400
MD5sum: b9aee0a1d1cd44fc0029fca037c6ead1
SHA1: deb00202da78c13eb5b4448fcb0bb16d9f2d4959
SHA256: a0123fa2a8326bae312d893d43878838ef4d96c084bd100f838c43be896be0b7
SHA512: acd7505d1620ffc8180276a8419e2e4f1228c12e14f2b5b95fc979528e6e2212b37340e4584455e8a8da9fd58fe50812022f17300c6652feef4d369d53adfbb6
Homepage: https://cran.r-project.org/package=ProxReg
Description: CRAN Package 'ProxReg' (Linear Models for Prediction and Classification using ProximalOperators)
 Implements optimization techniques for Lasso regression,
 R.Tibshirani(1996)<doi:10.1111/j.2517-6161.1996.tb02080.x> using Fast
 Iterative Shrinkage-Thresholding Algorithm (FISTA) and Iterative
 Shrinkage-Thresholding Algorithm (ISTA) based on proximal operators,
 A.Beck(2009)<doi:10.1137/080716542>. The package is useful for
 high-dimensional regression problems and includes cross-validation
 procedures to select optimal penalty parameters.

Package: r-cran-prozor
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3795
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ahocorasicktrie, r-cran-docopt, r-cran-matrix, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-seqinr, r-cran-stringr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-prozor_0.3.1-1.ca2004.1_all.deb
Size: 2998720
MD5sum: f03148b2ac64c1dfb6d6891c79f2801d
SHA1: 2288e507c399007029075803d0802fe538bacd5e
SHA256: bf0615754a15ff98f6ae46d53069d273041a5b00ca86a773da7d84e3f577af38
SHA512: bab6b1d0943209f808926628d89cdfbc96260ee51bbaf1fecd149d728cc733ab398acc7394d77e47ed14be92c27249fcc1aa22abf769389a2daf11b2db1000b5
Homepage: https://cran.r-project.org/package=prozor
Description: CRAN Package 'prozor' (Minimal Protein Set Explaining Peptide Spectrum Matches)
 Determine minimal protein set explaining peptide spectrum matches. Utility
 functions for creating fasta amino acid databases with decoys and
 contaminants.  Peptide false discovery rate estimation for target decoy
 search results on psm, precursor, peptide and protein level. Computing
 dynamic swath window sizes based on MS1 or MS2 signal distributions.

Package: r-cran-prp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-prp_0.1.1-1.ca2004.1_all.deb
Size: 34796
MD5sum: a08b0870712e7bde2d4f19e582586074
SHA1: 03ebfd5e3a79ef8deb6eaeaad534954f14c176fa
SHA256: dff05ca02ed2244f13f3c9ec5489b464e230bd95e27e3400b5a1396c15fe60c2
SHA512: 9f802e2037b8a61294418c10542dc5c2595f41701662e266d38d694f6eb49bd4c7873c5b3428e2197bda4f00114cf39e4a4063cd797315d2cef12ff6a7869d26
Homepage: https://cran.r-project.org/package=PRP
Description: CRAN Package 'PRP' (Bayesian Prior and Posterior Predictive Replication Assessment)
 Utilize the Bayesian prior and posterior predictive checking approach to
 provide a statistical assessment of replication success and failure. The
 package is based on the methods proposed in Zhao,Y., Wen X.(2021)
 <arXiv:2105.03993>.

Package: r-cran-prrd
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-config, r-cran-liteq, r-cran-data.table, r-cran-crayon, r-cran-dbi, r-cran-rsqlite
Suggests: r-cran-docopt, r-cran-foghorn, r-cran-anytime
Filename: pool/dists/focal/main/r-cran-prrd_0.0.6-1.ca2004.1_all.deb
Size: 57488
MD5sum: 619865efbdb94bb1b1dcc215bbff8824
SHA1: cf8ddc98b1115553e029c3f3d614432c15a63fba
SHA256: 3d45aa0f09ee200eb662d20c9aa88f35d466dc8a837047f22f61b1e81666bd49
SHA512: 033342e578032680ee45260b486096f4576628bdba2d560f8a859e5b271a1873beb22994496e266f9be0f43b08daf7458cb1442d5dcf6a195212a393899f6340
Homepage: https://cran.r-project.org/package=prrd
Description: CRAN Package 'prrd' (Parallel Runs of Reverse Depends)
 Reverse depends for a given package are queued such that multiple workers
 can run the reverse-dependency tests in parallel.

Package: r-cran-prroc
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-prroc_1.4-1.ca2004.1_all.deb
Size: 572164
MD5sum: 586e64aaf4938a39e76c91af94de1076
SHA1: ce1419078269e14fd39218a6456cfc679f6563c6
SHA256: e0688fb3a6d1bc384e502118b26dda7821a58d70228dfd0560817e9d678facf7
SHA512: c0ec2fb14046b535af39a83d969c1aa4e7dfbfbef171daf7001d49d2fac380b1621b6c42ed40497646a3ec2c18fcc18f69537ede46bff5540945392fe87d48d1
Homepage: https://cran.r-project.org/package=PRROC
Description: CRAN Package 'PRROC' (Precision-Recall and ROC Curves for Weighted and Unweighted Data)
 Computes the areas under the precision-recall (PR) and ROC curve for
 weighted (e.g., soft-labeled) and unweighted data. In contrast to other
 implementations, the interpolation between points of the PR curve is done by
 a non-linear piecewise function. In addition to the areas under the curves,
 the curves themselves can also be computed and plotted by a specific
 S3-method. References: Davis and Goadrich (2006)
 <doi:10.1145/1143844.1143874>; Keilwagen et al. (2014)
 <doi:10.1371/journal.pone.0092209>; Grau et al. (2015)
 <doi:10.1093/bioinformatics/btv153>.

Package: r-cran-prt
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-fst, r-cran-data.table, r-cran-vctrs, r-cran-tibble, r-cran-cli, r-cran-pillar, r-cran-crayon, r-cran-backports, r-cran-rlang
Suggests: r-cran-testthat, r-cran-xml2, r-cran-covr, r-cran-withr, r-cran-nycflights13, r-cran-rmarkdown, r-cran-knitr, r-cran-bench
Filename: pool/dists/focal/main/r-cran-prt_0.2.0-1.ca2004.1_all.deb
Size: 105724
MD5sum: b15e10df9ae142f86f6d72a2320eabf3
SHA1: b6c730c1f7be07234adbb199749d77d4c83466e5
SHA256: 5d8c87525e4016dd29b3e1f535ccf8119de737d82f12f6b169d7802511864907
SHA512: 9cbc4b285ddbb91af177366f0c9a8a54e7735fa353694b2556540edfbc7d7e150daee7b6259457ef932c962c7ca80c99e4679993b93605b3224b06bccfbbc870
Homepage: https://cran.r-project.org/package=prt
Description: CRAN Package 'prt' (Tabular Data Backed by Partitioned 'fst' Files)
 Intended for larger-than-memory tabular data, 'prt' objects provide an
 interface to read row and/or column subsets into memory as data.table
 objects. Data queries, constructed as 'R' expressions, are evaluated using
 the non-standard evaluation framework provided by 'rlang' and file-backing
 is powered by the fast and efficient 'fst' package.

Package: r-cran-prwarp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2496
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-morpho
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-geomorph
Filename: pool/dists/focal/main/r-cran-prwarp_1.0.1-1.ca2004.1_all.deb
Size: 1619008
MD5sum: c60837912c68ee7228233ab0b00be32b
SHA1: 3b781b41a74d2ccffdd297d676442b533addf22b
SHA256: f1d4f6050504ffd3343406695a0fcd88969e8f3a816a2defbd5f2610953018cc
SHA512: a4595d9a0bc26c429079c57a9670964fbf8738ac4ce598373a4c54c1d5392c262738d3441a7d00c2a3c97c218feed5b027f6afe55028e43697e1d4c2a95740fa
Homepage: https://cran.r-project.org/package=prWarp
Description: CRAN Package 'prWarp' (Warping Landmark Configurations)
 Compute bending energies, principal warps, partial warp scores, and the
 non-affine component of shape variation for 2D landmark configurations, as
 well as Mardia-Dryden distributions and self-similar distributions of
 landmarks, as described in Mitteroecker et al. (2020)
 <doi:10.1093/sysbio/syaa007>. Working examples to decompose shape variation
 into small-scale and large-scale components, and to decompose the total
 shape variation into outline and residual shape components are provided. Two
 landmark datasets are provided, that quantify skull morphology in humans and
 papionin primates, respectively from Mitteroecker et al. (2020)
 <doi:10.5061/dryad.j6q573n8s> and Grunstra et al. (2020)
 <doi:10.5061/dryad.zkh189373>.

Package: r-cran-przewodnik
Architecture: all
Version: 0.16.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1773
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pogromcydanych, r-cran-pbimisc
Filename: pool/dists/focal/main/r-cran-przewodnik_0.16.12-1.ca2004.1_all.deb
Size: 1661452
MD5sum: f7171170ec49e49077b07db8e96c7a42
SHA1: 0b3c43c1cf5e43e7c51c199b2926be3c316519b7
SHA256: a7a86ccd7103cf6bd7cd0996f2795e53e16a78fdff2b26c2eb76e9bffbe61aaf
SHA512: fe00c52565e751eef997c87b0ac4d141c574dcd3067545592b4600bf69a5a9fa04e6b1c864a3f449aca81e022210a454207d72948ff4efd6eb0804190a20bebe
Homepage: https://cran.r-project.org/package=Przewodnik
Description: CRAN Package 'Przewodnik' (Datasets and Functions Used in the Book 'Przewodnik po PakiecieR')
 Data sets and functions used in the polish book "Przewodnik po pakiecie R"
 (The Hitchhiker's Guide to the R).  See more at <http://biecek.pl/R>. Among
 others you will find here data about housing prices, cancer patients,
 running times and many others.

Package: r-cran-psaboot
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6348
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-psagraphics, r-cran-ggthemes, r-cran-matching, r-cran-matchit, r-cran-modeltools, r-cran-party, r-cran-psych, r-cran-reshape2, r-cran-rpart, r-cran-trimatch
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psaboot_1.3.8-1.ca2004.1_all.deb
Size: 3515236
MD5sum: 407749f49fa885ddb44789addd898bd5
SHA1: 5c2fa3afcda4356c4f0fd1d1510d690180cb1d04
SHA256: 4967d89012b59901119c10575be06af85f9e7afe784fdf769a2c9bebec0064f6
SHA512: aacc1281c06331bc0d4650ef56e95cdfe41b8028aea09c82c59c06ffd4e15078d906ca9b8d47c57b007d19def24e7173ab5b6ef6f52342ef653501499de7c6a3
Homepage: https://cran.r-project.org/package=PSAboot
Description: CRAN Package 'PSAboot' (Bootstrapping for Propensity Score Analysis)
 It is often advantageous to test a hypothesis more than once in the context
 of propensity score analysis (Rosenbaum, 2012) <doi:10.1093/biomet/ass032>.
 The functions in this package facilitate bootstrapping for propensity score
 analysis (PSA). By default, bootstrapping using two classification tree
 methods (using 'rpart' and 'ctree' functions), two matching methods (using
 'Matching' and 'MatchIt' packages), and stratification with logistic
 regression.  A framework is described for users to implement additional
 propensity score methods.  Visualizations are emphasized for diagnosing
 balance; exploring the correlation relationships between bootstrap samples
 and methods; and to summarize results.

Package: r-cran-psagraphics
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-psagraphics_2.1.3-1.ca2004.1_all.deb
Size: 258760
MD5sum: 395805042f10ebcc038ea0d51058a574
SHA1: b54bcfc6855026af94cddd2962a219b36462eb78
SHA256: a96e4e1f93e3b7dddd20876148a2287c1b5256792c681f3dbd6c73700d8bc0a1
SHA512: e8cdd6cd0441f7354ffb0154f6d277688e72082092028b8f18d1c26435a5ac8844499d442fd42a7d2dcb16bcfe6f037a3f30ec929bc931b0e3c225421146c0a2
Homepage: https://cran.r-project.org/package=PSAgraphics
Description: CRAN Package 'PSAgraphics' (Propensity Score Analysis Graphics)
 A collection of functions that primarily produce graphics to aid in a
 Propensity Score Analysis (PSA).  Functions include: cat.psa and box.psa to
 test balance within strata of categorical and quantitative covariates,
 circ.psa for a representation of the estimated effect size by stratum,
 loess.psa that provides a graphic and loess based effect size estimate, and
 various balance functions that provide measures of the balance achieved via
 a PSA in a categorical covariate.

Package: r-cran-psawr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-psawr_0.1.0-1.ca2004.1_all.deb
Size: 51352
MD5sum: 9e2664d1f6ce7e72db2910b29c67cdff
SHA1: 85c988eb977a620649540cb795ba853e4ad550e2
SHA256: 1a7db45243a1032b57f446528bef6fab8d0e42f3aa803c9bbb90adf930f76841
SHA512: 345e9e5f90b40ae34995521d080787260cbd176e118b63b515b29ec9fe213be9874c1507350dda6cdb27ac494e5986385a3216c0ec4198b5237e4d573d522bf5
Homepage: https://cran.r-project.org/package=PSAWR
Description: CRAN Package 'PSAWR' ('Pushshift' API Wrapper for 'Reddit' Submission and CommentSearch)
 Connects to the API of <https://pushshift.io/> to search for 'Reddit'
 comments and submissions.

Package: r-cran-psborrow2
Architecture: all
Version: 0.0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5373
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-glue, r-cran-posterior, r-cran-generics, r-cran-matrix, r-cran-mvtnorm, r-cran-future, r-cran-simsurv
Suggests: r-cran-survival, r-cran-flexsurv, r-cran-eha, r-cran-testthat, r-cran-usethis, r-cran-vdiffr, r-cran-tibble, r-cran-xml2, r-cran-knitr, r-cran-rmarkdown, r-cran-bayesplot, r-cran-matrixcalc, r-cran-weightit, r-cran-matchit, r-cran-bayesppd, r-cran-ggsurvfit, r-cran-gbm, r-cran-ggplot2, r-cran-cobalt, r-cran-table1, r-cran-gt, r-cran-gtsummary
Filename: pool/dists/focal/main/r-cran-psborrow2_0.0.4.0-1.ca2004.1_all.deb
Size: 3121960
MD5sum: 38f7c7f301d7461b721ccb8007f42576
SHA1: 9ab5698b5c37d0a008fda8c6889813c8beac5308
SHA256: 57d96941637473ad596c6f5f8646662550c2b9a0f03f46e23d0eb409baaa57a9
SHA512: 3e87557a62241780a023ad107fab6bf6ac5e0cacb6a03a4ab12928019ebdf809dec01c39795e2da4794b78b22dcc76e1bee932b0bbe5f2e3e1549f08b3dc224b
Homepage: https://cran.r-project.org/package=psborrow2
Description: CRAN Package 'psborrow2' (Bayesian Dynamic Borrowing Analysis and Simulation)
 Bayesian dynamic borrowing is an approach to incorporating external data to
 supplement a randomized, controlled trial analysis in which external data
 are incorporated in a dynamic way (e.g., based on similarity of outcomes);
 see Viele 2013 <doi:10.1002/pst.1589> for an overview.  This package
 implements the hierarchical commensurate prior approach to dynamic borrowing
 as described in Hobbes 2011 <doi:10.1111/j.1541-0420.2011.01564.x>.  There
 are three main functionalities. First, 'psborrow2' provides a user-friendly
 interface for applying dynamic borrowing on the study results handles the
 Markov Chain Monte Carlo sampling on behalf of the user. Second, 'psborrow2'
 provides a simulation framework to compare different borrowing parameters
 (e.g. full borrowing, no borrowing, dynamic borrowing) and other trial and
 borrowing characteristics (e.g. sample size, covariates) in a unified way.
 Third, 'psborrow2' provides a set of functions to generate data for
 simulation studies, and also allows the user to specify their own data
 generation process. This package is designed to use the sampling functions
 from 'cmdstanr' which can be installed from
 <https://stan-dev.r-universe.dev>.

Package: r-cran-psborrow
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-rjags, r-cran-mvtnorm, r-cran-ggplot2, r-cran-foreach, r-cran-doparallel, r-cran-matchit, r-cran-survival, r-cran-futile.logger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-matrix, r-cran-assertthat, r-cran-pkgload, r-cran-flexsurv, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-psborrow_0.2.3-1.ca2004.1_all.deb
Size: 377144
MD5sum: 7de0d302cd60d23aaaa1066b1b31ef83
SHA1: 7456cd9f626587b4ea9e90b60bb04d5e4800d64c
SHA256: d5eb1a7be5a7225820be63f26ab9e92a93e647ac739cea84c788e30b65ec3f59
SHA512: 71a8b0952313c562b01b8c2e4c28c48993eaad8a9a709993bdcf0cad3f8ddcb3316cf0a350bcaec5199cf79772dd19de278e225f380638677c8abe576133c549
Homepage: https://cran.r-project.org/package=psborrow
Description: CRAN Package 'psborrow' (Bayesian Dynamic Borrowing with Propensity Score)
 A tool which aims to help evaluate the effect of external borrowing using an
 integrated approach described in Lewis et al., (2019)
 <doi:10.1080/19466315.2018.1497533> that combines propensity score and
 Bayesian dynamic borrowing methods.

Package: r-cran-psc
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1643
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-survival, r-cran-enrichwith, r-cran-flexsurv, r-cran-ggplot2, r-cran-survminer, r-cran-gtsummary, r-cran-rcolorbrewer, r-cran-waffle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-ggpubr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psc_1.3.0-1.ca2004.1_all.deb
Size: 1422904
MD5sum: 79c52ecebbbdcde3e0126ac5f38dd51a
SHA1: a5c5e35a9a2bb325454f27343afdb0b75ad31f7d
SHA256: c9676f920a28040fe78465cc1436e72dccb084d29b289755f845a5edaee32ade
SHA512: 02e0f04a888b90acfdc7ca7b3b6c39ee2fbd0debae0990974779e7c199a547cd4feee34bbdede80bd1962867972b74dacd529f914b2a2f966a55173911b03389
Homepage: https://cran.r-project.org/package=psc
Description: CRAN Package 'psc' (Personalised Synthetic Controls)
 Allows the comparison of data cohorts (DC) against a Counter Factual Model
 (CFM) and measures the difference in terms of an efficacy parameter.  Allows
 the application of Personalised Synthetic Controls.

Package: r-cran-pscbs
Architecture: all
Version: 0.68.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-r.cache, r-cran-matrixstats, r-bioc-aroma.light, r-bioc-dnacopy, r-cran-future
Suggests: r-cran-r.rsp, r-cran-r.devices, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pscbs_0.68.0-1.ca2004.1_all.deb
Size: 4246596
MD5sum: 3139b8c176338ed7ffa8139a2043c961
SHA1: 85583d49e92b465ea5a39156089ad5da1a838a0b
SHA256: 8d93a0d2d485a8ae9c860aa01d1dea984a48bcd507987f8bfc83a2f28b5a0349
SHA512: f8b3262638f03d01293ebd52af8fda4007aa5f65412757e11325d09077ad5036f89fb0a222a3eb9feccc24e42d56c82f203acbf8294aa535d5d53d58e9670bc6
Homepage: https://cran.r-project.org/package=PSCBS
Description: CRAN Package 'PSCBS' (Analysis of Parent-Specific DNA Copy Numbers)
 Segmentation of allele-specific DNA copy number data and detection of
 regions with abnormal copy number within each parental chromosome.  Both
 tumor-normal paired and tumor-only analyses are supported.

Package: r-cran-pscore
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-lavaan, r-cran-jwileymisc
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pscore_0.4.0-1.ca2004.1_all.deb
Size: 208064
MD5sum: f6e874fcd11841252f277edc30723e75
SHA1: d3352b4e3e19a97c43c6791f098b91bee78ffdaa
SHA256: 2b4f061f935ab118159894bb75b062523558fff9aa96b645258987b6379eaf05
SHA512: c2842f9ef00408b7c079bd073730d3c8d05089f17772878c2810c455c02c2f7635fe81d9212647bd18ce2062c8317da7ccda3fc601a82544b55ce8f24c4fa968
Homepage: https://cran.r-project.org/package=pscore
Description: CRAN Package 'pscore' (Standardizing Physiological Composite Risk Endpoints)
 Provides a number of functions to simplify and automate the scoring,
 comparison, and evaluation of different ways of creating composites of data.
 It is particularly aimed at facilitating the creation of physiological
 composites of metabolic syndrome symptom score (MetSSS) and allostatic load
 (AL).  Provides a wrapper to calculate the MetSSS on new data using the
 Healthy Hearts formula.

Package: r-cran-pscr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-pracma, r-cran-vgam
Suggests: r-cran-mstate
Filename: pool/dists/focal/main/r-cran-pscr_1.1-1.ca2004.1_all.deb
Size: 39196
MD5sum: 74fa89dc08cc644a276e4c159d19bde5
SHA1: f624910adbaa2a88eeb58bae7f1f0019cbf77b75
SHA256: bb86b430c2eb322d31c593207ea818ebcd420b794e54e42976d3741d5b3660f1
SHA512: 545c572c17db8e2d13160b517198163aa1467dfb03825154519c4800f9252a51a27eea37d49022748d6c193a76289b87be0c718403a0c436922acca5cd0a0959
Homepage: https://cran.r-project.org/package=PScr
Description: CRAN Package 'PScr' (Estimation for the Power Series Cure Rate Model)
 Provide estimation for particular cases of the power series cure rate model
 <doi:10.1080/03610918.2011.639971>. For the distribution of the concurrent
 causes the alternative models are the Poisson, logarithmic, negative
 binomial and Bernoulli (which are includes in the original work), the
 polylogarithm model <doi:10.1080/00949655.2018.1451850> and the Flory-Schulz
 <doi:10.3390/math10244643>.  The estimation procedure is based on the EM
 algorithm discussed in <doi:10.1080/03610918.2016.1202276>.  For the
 distribution of the time-to-event the alternative models are slash
 half-normal, Weibull, gamma and Birnbaum-Saunders distributions.

Package: r-cran-psda
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rgeos, r-cran-plyr, r-cran-sp, r-cran-raster
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psda_1.4.0-1.ca2004.1_all.deb
Size: 461060
MD5sum: d7fedfbd9b969d682d397c044c60dbbd
SHA1: 3d60d59555208ad268614d399e8c056fe7a7829b
SHA256: d3a58e2565a911cf0799db3bc7b2f8c8c10047b9cc72b32f04e25b45d1a23868
SHA512: 2f0b90e2bef865d18bfb5634da70cabf9a17f7ba912d945463504720fc587619a42f0da70d9e3e33d15a8e86b35aa16cf006f0a4b6b74988b3a196843b5e0e6e
Homepage: https://cran.r-project.org/package=psda
Description: CRAN Package 'psda' (Polygonal Symbolic Data Analysis)
 A toolbox in symbolic data framework as a statistical learning and data
 mining solution for symbolic polygonal data analysis. This study is a new
 approach in data analysis and it was proposed by Silva et al. (2019)
 <doi:10.1016/j.knosys.2018.08.009>. The package presents the estimation of
 main descriptive statistical measures, e.g, mean, covariance, variance,
 correlation and coefficient of variation.  In addition, a method to obtain
 polygonal data from classical data is presented. Empirical probability
 distribution function based on symbolic polygonal histogram and a regression
 model with its main measures are presented.

Package: r-cran-psdata
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-countrycode, r-cran-datacombine, r-cran-reshape2, r-cran-rio, r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-psdata_0.2.2-1.ca2004.1_all.deb
Size: 71664
MD5sum: 27f2fac3743f3650a9d8ce71619d54e2
SHA1: 81ba83397407af1449a7f701806c4b62c894f8a3
SHA256: 04f36e903f19a16684260b686596f54f01dde1d35e194f620ccfbb7db66e3f31
SHA512: 5eab9c60c8b893a5d6cd7988a986df935bfacc688d635c0ddb8b5ef93e684b803889c912f49e663d8ac79bff2f8112ce92ce321ffc924a1f204392aecb6496a8
Homepage: https://cran.r-project.org/package=psData
Description: CRAN Package 'psData' (Download Regularly Maintained Political Science Data Sets)
 This R package includes functions for gathering commonly used and regularly
 maintained data set in political science. It also includes functions for
 combining components from these data sets into variables that have been
 suggested in the literature, but are not regularly maintained.

Package: r-cran-psdistr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psdistr_0.0.1-1.ca2004.1_all.deb
Size: 88392
MD5sum: dfdfa3968cb22fd2b11387e9669997c6
SHA1: 8f8224d3ef6c251fabe02269792a6e18bccd4da2
SHA256: 984e8ac46af0291438c32e7a4f4d715f0dfda7a0848f4685ca3a79ab9174b13b
SHA512: ede7c1fc788e0cb6f0569125ad1234e414618608c1b740f97ae3f4f97dfbe522f7e373dd00c1f77c32594b585de179b27d09e494c2c2d78b9035c1c5e2a87abd
Homepage: https://cran.r-project.org/package=PSDistr
Description: CRAN Package 'PSDistr' (Distributions Derived from Normal Distribution)
 Presentation of distributions such as: two-piece power normal (TPPN),
 plasticizing component (PC), DS normal (DSN), expnormal (EN), Sulewski
 plasticizing component (SPC), easily changeable kurtosis (ECK)
 distributions. Density, distribution function, quantile function and random
 generation are presented. For details on this method see: Sulewski (2019)
 <doi:10.1080/03610926.2019.1674871>, Sulewski (2021)
 <doi:10.1080/03610926.2020.1837881>, Sulewski (2021)
 <doi:10.1134/S1995080221120337>, Sulewski (2022) <"New members of the
 Johnson family of probability dis-tributions: properties and application">,
 Sulewski, Volodin (2022) <doi:10.1134/S1995080222110270>, Sulewski (2023)
 <doi:10.17713/ajs.v52i3.1434>.

Package: r-cran-psdr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-ggplot2, r-cran-qpdf
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psdr_1.0.1-1.ca2004.1_all.deb
Size: 215492
MD5sum: aa9b9b4713292737972a206612da8cb6
SHA1: 3604029e88d4b86899509818f5f591ba19b92a5d
SHA256: 0c4c40c832787a9958e5c2b275a1dacc699c905c55c61ab59499570b5482619a
SHA512: 52e19855ce811f76d7bffe0ff60efb4146e7896871509c54bc2105b7b2e6c4dd1a21b51cc7c6c5b65efcea10ddf64ff0dbf17741eba33725f32849fb1c311ace
Homepage: https://cran.r-project.org/package=psdr
Description: CRAN Package 'psdr' (Use Time Series to Generate and Compare Power Spectral Density)
 Functions that allow you to generate and compare power spectral density
 (PSD) plots given time series data. Fast Fourier Transform (FFT) is used to
 take a time series data, analyze the oscillations, and then output the
 frequencies of these oscillations in the time series in the form of a PSD
 plot.Thus given a time series, the dominant frequencies in the time series
 can be identified. Additional functions in this package allow the dominant
 frequencies of multiple groups of time series to be compared with each
 other.  To see example usage with the main functions of this package, please
 visit this site: <https://yhhc2.github.io/psdr/articles/Introduction.html>.
 The mathematical operations used to generate the PSDs are described in these
 sites: <https://www.mathworks.com/help/matlab/ref/fft.html>.
 <https://www.mathworks.com/help/signal/ug/power-spectral-density-estimates-using-fft.html>.

Package: r-cran-pseudo
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kmsurv, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-pseudo_1.4.3-1.ca2004.1_all.deb
Size: 43200
MD5sum: 93a4a50502476a434edfc5114eb0726a
SHA1: 9ea374e9fd05e8db3286f51ddea3f898d6a55fef
SHA256: 32f5f3a4982cd301e2b7c04af44a52c229b3ab65894f418376b81bd193f708aa
SHA512: 3ede00e0f27e5e48ee99fefd8af2f81f6a991bb6b668f2f5a2695a8e2d2c669a0ca2ef9308544654caeb5c0be49a241fa395730216116f02544244db5be1b080
Homepage: https://cran.r-project.org/package=pseudo
Description: CRAN Package 'pseudo' (Computes Pseudo-Observations for Modeling)
 Various functions for computing pseudo-observations for censored data
 regression. Computes pseudo-observations for modeling: competing risks based
 on the cumulative incidence function, survival function based on the
 restricted mean, survival function based on the Kaplan-Meier estimator see
 Klein et al. (2008) <doi:10.1016/j.cmpb.2007.11.017>.

Package: r-cran-pseudobiber
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-udpipe
Filename: pool/dists/focal/main/r-cran-pseudobiber_1.2-1.ca2004.1_all.deb
Size: 96268
MD5sum: 3f9b7e4fccd0a579b89c33027f902029
SHA1: 74d7e6ebfa2b2593a9a9a871305d28e0435ea4cc
SHA256: c7240addfbed636422abe25ce4f3056ced2953415ead4bb605860f3351c2b9d7
SHA512: d12e5eaad26a999f030d5e69c5f1a746826d523ed19f0658f64b9c8387697e9bb233d77a23211f926837cf3d596e9ab09752d6a65d5742555ad3610a069d73e5
Homepage: https://cran.r-project.org/package=pseudobibeR
Description: CRAN Package 'pseudobibeR' (Aggregate Counts of Linguistic Features)
 Calculates the lexicogrammatical and functional features described by Biber
 (1985) <doi:10.1515/ling.1985.23.2.337> and widely used for text-type,
 register, and genre classification tasks.

Package: r-cran-pseudohouseholds
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4642
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-sf
Suggests: r-cran-covr, r-cran-future, r-cran-ggplot2, r-cran-ggspatial, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pseudohouseholds_0.1.1-1.ca2004.1_all.deb
Size: 4646108
MD5sum: 7d330478f2357d9e1ac593e015868121
SHA1: 2b06cbaa6896c50073afeea9f5008349f6208bdc
SHA256: 4d7679a341e4c97f2182c23404e299dbeeab0f8c6cd1c4ddb1aec73858a1a759
SHA512: 64db7acd55305aa52a72322d3c96a665d24226fe998977e4f2beb9d1f134d4eadae2013d8df3c7c65ea43f89ad3ced9d90cbcc008fd270b3c7f94be1953f63c1
Homepage: https://cran.r-project.org/package=pseudohouseholds
Description: CRAN Package 'pseudohouseholds' (Generate Pseudohouseholds on Road Networks in Regions)
 Given an arbitrary set of spatial regions and road networks, generate a set
 of representative points, or pseudohouseholds, that can be used for travel
 burden analysis. Parallel processing is supported.

Package: r-cran-pseval
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-printr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pseval_1.3.3-1.ca2004.1_all.deb
Size: 262596
MD5sum: a49219de3e57f7f3714bb98842fc9cc5
SHA1: bdb09ca1b60c1a6a66697625bfa37af453ddac9b
SHA256: fa586b2b4a93100f05ac788788270a3bd3fd72c599e484babf463b135f69670d
SHA512: 84e368790e2d0a950966164cfd6880f026d45665380f39e42c2c42122032fbb51cfbb47010babcf20f8428c7d6b9d85edfe955e4cff14dfd2fc940afa9b2f212
Homepage: https://cran.r-project.org/package=pseval
Description: CRAN Package 'pseval' (Methods for Evaluating Principal Surrogates of TreatmentResponse)
 Contains the core methods for the evaluation of principal surrogates in a
 single clinical trial. Provides a flexible interface for defining models for
 the risk given treatment and the surrogate, the models for integration over
 the missing counterfactual surrogate responses, and the estimation methods.
 Estimated maximum likelihood and pseudo-score can be used for estimation,
 and the bootstrap for inference. A variety of post-estimation summary
 methods are provided, including print, summary, plot, and testing.

Package: r-cran-psf
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-psf_0.5-1.ca2004.1_all.deb
Size: 107180
MD5sum: 81d0a5a127ef3fe94d18a4d87553dafe
SHA1: 8f9325f3268a2c5f3a476729a890aca4799e03c5
SHA256: 0207c292455768887e146a14ac7af28d601c2dc1b09cac6a4cf9746fb700f46f
SHA512: 6a6319858a173954e9ad20291c6806d799516c971afe6700da72059ab3fa8bd436f58d91820bf9ad0125163d22205eab5ad0a3ee75a9d2e565d5e74019935fac
Homepage: https://cran.r-project.org/package=PSF
Description: CRAN Package 'PSF' (Forecasting of Univariate Time Series Using the PatternSequence-Based Forecasting (PSF) Algorithm)
 Pattern Sequence Based Forecasting (PSF) takes univariate time series data
 as input and assist to forecast its future values.  This algorithm forecasts
 the behavior of time series based on similarity of pattern sequences.
 Initially, clustering is done with the labeling of samples from database.
 The labels associated with samples are then used for forecasting the future
 behaviour of time series data. The further technical details and references
 regarding PSF are discussed in Vignette.

Package: r-cran-psfmi
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1178
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-norm, r-cran-survival, r-cran-mitools, r-cran-proc, r-cran-rms, r-cran-magrittr, r-cran-rsample, r-cran-mice, r-cran-mitml, r-cran-cvauc, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-stringr, r-cran-lme4, r-cran-car
Suggests: r-cran-foreign, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-bookdown, r-cran-readr, r-cran-gtools, r-cran-covr
Filename: pool/dists/focal/main/r-cran-psfmi_1.4.0-1.ca2004.1_all.deb
Size: 885636
MD5sum: 5c76df33c38e02e87a3a5fd698120df9
SHA1: 1f8e41b1ba2f779c5805af3de5e2946a1b7707eb
SHA256: e6ae88ac6a3dfc0f4263b026583b1c25043b6798eb2c1eedbca4cba8e6ab4f75
SHA512: abcbf66d7b380258f095f7c3deb7d0f8f926f1cb8120cd7a433433b21cf03938972618c46091fc314569c127b90c12df561c53659f1870ab246f609219da5c08
Homepage: https://cran.r-project.org/package=psfmi
Description: CRAN Package 'psfmi' (Prediction Model Pooling, Selection and Performance EvaluationAcross Multiply Imputed Datasets)
 Pooling, backward and forward selection of linear, logistic and Cox
 regression models in multiply imputed datasets. Backward and forward
 selection can be done from the pooled model using Rubin's Rules (RR), the
 D1, D2, D3, D4 and the median p-values method. This is also possible for
 Mixed models.  The models can contain continuous, dichotomous, categorical
 and restricted cubic spline predictors and interaction terms between all
 these type of predictors.  The stability of the models can be evaluated
 using (cluster) bootstrapping. The package further contains functions to
 pool model performance measures as ROC/AUC, Reclassification, R-squared,
 scaled Brier score, H&L test and calibration plots for logistic regression
 models.  Internal validation can be done across multiply imputed datasets
 with cross-validation or bootstrapping. The adjusted intercept after
 shrinkage of pooled regression coefficients can be obtained. Backward and
 forward selection as part of internal validation is possible.  A function to
 externally validate logistic prediction models in multiple imputed datasets
 is available and a function to compare models. For Cox models a strata
 variable can be included.  Eekhout (2017) <doi:10.1186/s12874-017-0404-7>.
 Wiel (2009) <doi:10.1093/biostatistics/kxp011>.  Marshall (2009)
 <doi:10.1186/1471-2288-9-57>.

Package: r-cran-psgoft
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-moments
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psgoft_0.0.1-1.ca2004.1_all.deb
Size: 26740
MD5sum: 8953f6433c298219ab3e226fcd841773
SHA1: 01a4a42afc6a3ce5421b5987c21d43c30cb3f782
SHA256: ebcb0863b1ca98940d7b13387ba822d3765ad7955c193ad50b99116cb9b58ab6
SHA512: aa52e0f7db41b92b6fc4bfbcd4b6240c37a646308aa07b291dcdcaf3f1699c3d7e59543905732010c804363becd785410b1f70951328ad148e798bdca866d3e1
Homepage: https://cran.r-project.org/package=PSGoft
Description: CRAN Package 'PSGoft' (Modified Lilliefors Goodness-of-Fit Normality Test)
 Presentation of a new goodness-of-fit normality test based on the Lilliefors
 method. For details on this method see: Sulewski (2019)
 <doi:10.1080/03610918.2019.1664580>.

Package: r-cran-psharmonize
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1014
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-psharmonize_0.3.5-1.ca2004.1_all.deb
Size: 806476
MD5sum: d748f5d8f4c0e1b8c231b4b535300981
SHA1: 4fc1c0d57b937b5d4ed92d46e7d9e7668b4cc085
SHA256: b6a1e1006a1e288e868a309b38b6c89f98b1bf803876ff2288348bd4290c83a5
SHA512: 8bdf1d642d55a1f2f2a1260bcad156a8fb0637bcbbc704ec7fa21ab0a6ea497ac11c92c45451ef920aea00bed2d9189800c9256cd45749a30907e6a4a82bfe95
Homepage: https://cran.r-project.org/package=psHarmonize
Description: CRAN Package 'psHarmonize' (Creates a Harmonized Dataset Based on a Set of Instructions)
 Functions which facilitate harmonization of data from multiple different
 datasets. Data harmonization involves taking data sources with differing
 values, creating coding instructions to create a harmonized set of values,
 then making those data modifications. 'psHarmonize' will assist with data
 modification once the harmonization instructions are written. Coding
 instructions are written by the user to create a "harmonization sheet". This
 sheet catalogs variable names, domains (e.g. clinical, behavioral,
 outcomes), provides R code instructions for mapping or conversion of data,
 specifies the variable name in the harmonized data set, and tracks notes.
 The package will then harmonize the source datasets according to the
 harmonization sheet to create a harmonized dataset. Once harmonization is
 finished, the package also has functions that will create descriptive
 statistics using 'RMarkdown'. Data Harmonization guidelines have been
 described by Fortier I, Raina P, Van den Heuvel ER, et al. (2017)
 <doi:10.1093/ije/dyw075>. Additional details of our R package have been
 described by Stephen JJ, Carolan P, Krefman AE, et al. (2024)
 <doi:10.1016/j.patter.2024.101003>.

Package: r-cran-psica
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-gridbase, r-cran-randomforest, r-cran-rpart, r-cran-partykit, r-cran-party, r-cran-bayestree
Filename: pool/dists/focal/main/r-cran-psica_1.0.2-1.ca2004.1_all.deb
Size: 59468
MD5sum: 2d554d14fef1193670db8fcf119d0705
SHA1: e71c70b09af924add19dfcbee5f3539e65d9c676
SHA256: f5e0e6a91e1794b83803a9d8468a5b9fda3ad42c31e051e328d47f38ceca2056
SHA512: 9c64ac94880b36f0bf69fcacd2b3cf0f6f34b55b6d91d7f0c709818b8f54c40f1cfe1900b0b3198945807350820fda40f61af3d11a0fe360060aaaf31822fe5a
Homepage: https://cran.r-project.org/package=psica
Description: CRAN Package 'psica' (Decision Tree Analysis for Probabilistic Subgroup Identificationwith Multiple Treatments)
 In the situation when multiple alternative treatments or interventions
 available, different population groups may respond differently to different
 treatments. This package implements a method that discovers the population
 subgroups in which a certain treatment has a better effect than the other
 alternative treatments. This is done by first estimating the treatment
 effect for a given treatment and its uncertainty by computing random
 forests, and the resulting model is summarized by a decision tree in which
 the probabilities that the given treatment is best for a given subgroup is
 shown in the corresponding terminal node of the tree.

Package: r-cran-psidr
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2863
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rcurl, r-cran-foreign, r-cran-sascii, r-cran-openxlsx, r-cran-futile.logger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psidr_2.3-1.ca2004.1_all.deb
Size: 1607792
MD5sum: 5621fb632f3e89646ae84f6411abf841
SHA1: e30e1f8acbb2f60fd03905ce510d4e3a4a9126b2
SHA256: 56d664ec04f6096b89927ac763c24c3fba72386763a57e1271f1bb1aeed4522f
SHA512: 3697a9579bd9ef92b0ca5d4420def767d7b1dc020f4abc99dbfd514d27dc58e7b386963915519841408a55038aeda0bc8cac05e515bd7152cc49ac1e83e4e536
Homepage: https://cran.r-project.org/package=psidR
Description: CRAN Package 'psidR' (Build Panel Data Sets from PSID Raw Data)
 Makes it easy to build panel data in wide format from Panel Survey of Income
 Dynamics (PSID) delivered raw data. Downloads data directly from the PSID
 server using the 'SAScii' package. 'psidR' takes care of merging data from
 each wave onto a cross-period index file, so that individuals can be
 followed over time. The user must specify which years they are interested
 in, and the 'PSID' variable names (e.g. ER21003) for each year (they differ
 in each year). The package offers helper functions to retrieve variable
 names from different waves. There are different panel data designs and
 sample subsetting criteria implemented ("SRC", "SEO", "immigrant" and
 "latino" samples). More information about the PSID can be obtained at
 <https://simba.isr.umich.edu/data/data.aspx>.

Package: r-cran-psidread
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4464
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-asciisetupreader, r-cran-dplyr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-diagrammer, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-psidread_1.0.3-1.ca2004.1_all.deb
Size: 2386840
MD5sum: c1d68c2d3c2befc3505c518e8bbd0722
SHA1: 1bfe206c57122d49461b70e73d2e9037bbb011b5
SHA256: d87c4efb181ada14deb6716720468c76132ead989ae706d77ab0c576149cac67
SHA512: c7c935d7b7700221dad626e2e9ee6dfbc4f6640281e8d3f870fa0314adda7744f4425d285568cc1b7d0a08b3e4570e50c8d7aa4033c1479db64f7ca753c60530
Homepage: https://cran.r-project.org/package=psidread
Description: CRAN Package 'psidread' (Streamline Building Panel Data from Panel Study of IncomeDynamics ('PSID') Raw Files)
 Streamline the management, creation, and formatting of panel data from the
 Panel Study of Income Dynamics ('PSID') <https://psidonline.isr.umich.edu>
 using this user-friendly tool. Simply define variable names and input code
 book details directly from the 'PSID' official website, and this toolbox
 will efficiently facilitate the data preparation process, transforming raw
 'PSID' files into a well-organized format ready for further analysis.

Package: r-cran-psim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-matrixstats, r-cran-magrittr, r-cran-tidyverse
Suggests: r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psim_0.1.0-1.ca2004.1_all.deb
Size: 13536
MD5sum: 1a20cc08183a56c22b36954ca297aaf7
SHA1: 2b2255f0304bc93b60fbf6143204adcf5a53ad16
SHA256: 575142b6766984f9f5d6971484cfa8d389c11f94d3bf626ec2df1f2f71ce55c0
SHA512: 341466dbf23a9bb42a8ede802569d1f1722eb138b4bb3ed57b81204397dd7db2ceb703e684ce9d741e7a053385ff8bc444e0be1fb14a7699c9bdb595b5c889c7
Homepage: https://cran.r-project.org/package=PSIM
Description: CRAN Package 'PSIM' (Preference Selection Index Method (PSIM))
 The Preference Selection Index Method was created in (2010) and provides an
 innovative approach to determining the relative importance of criteria
 without pairwise comparisons, unlike the Analytic Hierarchy Process. The
 Preference Selection Index Method uses statistical methods to calculate the
 criteria weights and reflects their relative importance in the final
 decision-making process, offering an objective and non-subjective solution.
 This method is beneficial in multi-criteria decision analysis. The 'PSIM'
 package provides a practical and accessible tool for implementing the
 Preference Selection Index Method in R. It calculates the weights of
 criteria and makes the method available to researchers, analysts, and
 professionals without the need to develop complex calculations manually.
 More details about the Preference Selection Index Method can be found in
 Maniya K. and Bhatt M. G.(2010) <doi:10.1016/j.matdes.2009.11.020>.

Package: r-cran-psimex
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcglmm, r-cran-plotrix, r-cran-pedigree, r-cran-knitr
Suggests: r-cran-aiccmodavg, r-cran-psych
Filename: pool/dists/focal/main/r-cran-psimex_1.1-1.ca2004.1_all.deb
Size: 267888
MD5sum: baa2db066f9dcb2917d45f477b74e785
SHA1: 6581717cbb89d16bc1d21071813c4cfb9d727f1d
SHA256: 3da651912d82cc56b2ec7171fd8e4af5f7042f0722b091a358421a8174a6d127
SHA512: c21f2a19f71601716322e9484331c4b0dcf8a45fd7d4dcb4a22f2e555e73dcd4e27b4ee4519ba589a95dea1c1835e721037430e591a5bbf8439e09ce746b2e49
Homepage: https://cran.r-project.org/package=PSIMEX
Description: CRAN Package 'PSIMEX' (SIMEX Algorithm on Pedigree Structures)
 Generalization of the SIMEX algorithm from Cook & Stefanski (1994)
 <doi:10.2307/2290994> for the calculation of inbreeding depression or
 heritability on pedigree structures affected by missing or misassigned
 paternities. It simulates errors and tracks the behavior of the estimate as
 a function of the error proportion. It extrapolates back a true value
 corresponding to the null error rate.

Package: r-cran-psindependencetest
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psindependencetest_0.0.1-1.ca2004.1_all.deb
Size: 114208
MD5sum: 144c26a6abcd62af64758d0ae54768d4
SHA1: aef14e6c8ec964db7138e249121135a764651c99
SHA256: 1ba5671f41f055f5453ba4f5d719f20c3f2e1c1610f2e98cc90bd96229e88c11
SHA512: 2c46ad75ecacb35d296b7bf3786a430cb490919ac835c0b46f8b308c62cd4b8bec2e708e2928ccb19272ca731b0133e3daf709fb576ddf2d6a91e64492478413
Homepage: https://cran.r-project.org/package=PSIndependenceTest
Description: CRAN Package 'PSIndependenceTest' (Independence Tests for Two-Way, Three-Way and Four-WayContingency Tables)
 Presentation two independence tests for two-way, three-way and four-way
 contingency tables. These tests are: the modular test and the logarithmic
 minimum test. For details on this method see: Sulewski (2017)
 <doi:10.18778/0208-6018.330.04>, Sulewski (2018)
 <doi:10.1080/02664763.2018.1424122>, Sulewski (2019)
 <doi:10.2478/bile-2019-0003>, Sulewski (2021)
 <doi:10.1080/00949655.2021.1908286>.

Package: r-cran-psinference
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-psinference_0.2.2-1.ca2004.1_all.deb
Size: 424072
MD5sum: bb684c39cae69622154c00db16a489b3
SHA1: e907489b0159081d337c2ea202ca75656a0c289a
SHA256: fd7344da19c3f6725a0d84e75e8721de0335fc1026e00fdd5acf3501ad283121
SHA512: 6b6df4637cfa2a9888fd2fa23ecd6de28e8d881fd81ca7d4cf20c7faedd0ae45e39c48ccdcae43abeec267f91199af1d8d4d6aeaac3b24245103a5a979e686eb
Homepage: https://cran.r-project.org/package=PSinference
Description: CRAN Package 'PSinference' (Inference for Released Plug-in Sampling Single Synthetic Dataset)
 Considering the singly imputed synthetic data generated via plug-in sampling
 under the multivariate normal model, draws inference procedures including
 the generalized variance, the sphericity test, the test for independence
 between two subsets of variables, and the test for the regression of one set
 of variables on the other. For more details see Klein et al. (2021)
 <doi:10.1007/s13571-019-00215-9>.

Package: r-cran-pslm2015
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pslm2015_0.2.0-1.ca2004.1_all.deb
Size: 4359904
MD5sum: 8b84eda2866e81de892ade0235ed5667
SHA1: e468f1b3935c3a54206c56b5b47272e111653d1b
SHA256: 7160dd40a7a9caca4f76c71df3cd6a091ca0d98d8cb523fc15b0af1fd5b159ad
SHA512: 1496a69c9a78fa98367c490bca14c566f59f836076c2d2a284120ebfe72796ba0f3ca509d830ecacf2703a2644867c4437326e5c8b8b84426c653e5bdc64098c
Homepage: https://cran.r-project.org/package=PSLM2015
Description: CRAN Package 'PSLM2015' (Pakistan Social and Living Standards Measurement Survey 2014-15)
 Data and statistics of Pakistan Social and Living Standards Measurement
 (PSLM) survey 2014-15 from Pakistan Bureau of Statistics
 (<http://www.pbs.gov.pk/>).

Package: r-cran-psm3mkv
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 838
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-admiral, r-cran-dplyr, r-cran-flexsurv, r-cran-ggplot2, r-cran-pharmaverseadam, r-cran-purrr, r-cran-rlang, r-cran-simplicialcubature, r-cran-survival, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-boot, r-cran-covr, r-cran-ggsci, r-cran-hmdhfdplus, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psm3mkv_0.3.2-1.ca2004.1_all.deb
Size: 634664
MD5sum: f8474f560c0a3f9570da1a7819bdd601
SHA1: bfd9080bddcbf6e9eadad6b32ca3798d92dd0203
SHA256: 6178e38297fcc166f4f34b16435bc1c06d6911286afd40f7d45f33a9d9ec119e
SHA512: 4444534b2aa160e00453b7c6b2c7cf6eea67cc6ce206c484f181971e94fa4b5d09463d40937d11d05004f9439fa12e5075b9d5481e06a16f8604df11458016c4
Homepage: https://cran.r-project.org/package=psm3mkv
Description: CRAN Package 'psm3mkv' (Evaluate Partitioned Survival and State Transition Models)
 Fits and evaluates three-state partitioned survival analyses (PartSAs) and
 Markov models (clock forward or clock reset) to progression and overall
 survival data typically collected in oncology clinical trials. These model
 structures are typically considered in cost-effectiveness modeling in
 advanced/metastatic cancer indications.  Muston (2024). "Informing
 structural assumptions for three state oncology cost-effectiveness models
 through model efficiency and fit". Applied Health Economics and Health
 Policy.

Package: r-cran-psminer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bupar, r-cran-dplyr, r-cran-data.table, r-cran-forcats, r-cran-ggplot2, r-cran-tidyr, r-cran-rlang, r-cran-cli, r-cran-glue, r-cran-stringi
Suggests: r-cran-knitr, r-cran-eventdatar, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psminer_0.1.0-1.ca2004.1_all.deb
Size: 64680
MD5sum: 5626a22854cb630c004d0a51f4b3211f
SHA1: 463a22f457a788c6fe3384d6d20f8853123541b2
SHA256: df25e809e26c6e4f889ed582624bed7f18349ad2b8739a8b7863fd018c0d00f6
SHA512: 3330edb15f63f456d83c72cd2e8203287913b3c01b3c8354da28f64d959bd0e0934ec47b38baeed4bf9d1db3fb949be333ebab5e211457b194afa6b4f63b7036
Homepage: https://cran.r-project.org/package=psmineR
Description: CRAN Package 'psmineR' (Performance Spectrum Miner for Event Data)
 Compute detailed and aggregated performance spectrum for event data. The
 detailed performance spectrum describes the event data in terms of segments,
 where the performance of each segment is measured and plotted for any
 occurrences of this segment over time and can be classified, e.g., regarding
 the overall population. The aggregated performance spectrum visualises the
 amount of cases of particular performance over time. Denisov, V., Fahland,
 D., & van der Aalst, W. M. P. (2018) <doi:10.1007/978-3-319-98648-7_9>.

Package: r-cran-pso
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-pso_1.0.4-1.ca2004.1_all.deb
Size: 211960
MD5sum: e5bfb9dfd15cac223d076150b5e00fd8
SHA1: 921a858e1f1b6d6496bf1bbef6e9f27a778ea96f
SHA256: a6587e903132ba36c8adc16f6fbb87cf3c74b6cab6f8d5ac5e0ebc2da5054c52
SHA512: 61ec84d248fa2e6ae1d16c6ef4a2ce628263042ae7bd8dd2758203d76c438436f2a15d0b8798c8f9a753f1a3f15514668d33ef0d0f22af33ad7ec4995fc3f190
Homepage: https://cran.r-project.org/package=pso
Description: CRAN Package 'pso' (Particle Swarm Optimization)
 Provides an implementation of particle swarm optimisation consistent with
 the standard PSO 2007/2011 by Maurice Clerc. Additionally a number of
 ancillary routines are provided for easy testing and graphics.

Package: r-cran-psoptim
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-psoptim_1.0-1.ca2004.1_all.deb
Size: 17492
MD5sum: 4930d518963ee0e06c6d3b9ae410f342
SHA1: 9516cf64dbcee8ad8f16ab63347e24fbeb3f51d9
SHA256: 83f9781dec658294317b0e71ec6a264962d5bb0aa212a69d065b667ce4d27426
SHA512: 61dc67e7902067ab3e3f17679a6b662dbb48e74b0079e7fb2193c6942ef2a649571984779dea7b9c10687e1113719e29ab16d2b42be94f7430e6dcc02c0a190b
Homepage: https://cran.r-project.org/package=psoptim
Description: CRAN Package 'psoptim' (Particle Swarm Optimization)
 Particle swarm optimization - a basic variant.

Package: r-cran-pspatreg
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ameshousing, r-cran-dplyr, r-cran-fields, r-cran-ggplot2, r-cran-mba, r-cran-mass, r-cran-minqa, r-cran-matrix, r-cran-numderiv, r-cran-plm, r-cran-rdpack, r-cran-sf, r-cran-spatialreg, r-cran-spdep, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pspatreg_1.1.2-1.ca2004.1_all.deb
Size: 1089308
MD5sum: 7adc438c8f6141429118f88edbaa92c1
SHA1: 2ea41016be5abea6ff52dfe1843ef68d03fe60c9
SHA256: c81dec8feca99214612684e5eb1069d7047a5e3546c439ffcdede0961e476058
SHA512: 7bc2525cf6f1a7fdc8ab64b375accdc9c2ae4dddeb8ef16de6aeb14cad441a5bf8be4eb103e4f5f85fce05d59aaf3844404f6c85d4fec6e0b9d0bc2db3cd94c4
Homepage: https://cran.r-project.org/package=pspatreg
Description: CRAN Package 'pspatreg' (Spatial and Spatio-Temporal Semiparametric Regression Modelswith Spatial Lags)
 Estimation and inference of spatial and spatio-temporal semiparametric
 models including spatial or spatio-temporal non-parametric trends,
 parametric and non-parametric covariates and, possibly, a spatial lag for
 the dependent variable and temporal correlation in the noise.  The
 spatio-temporal trend can be decomposed in ANOVA way including main and
 interaction functional terms. Use of SAP algorithm to estimate the spatial
 or spatio-temporal trend and non-parametric covariates. The methodology of
 these models can be found in next references Basile, R. et al. (2014),
 <doi:10.1016/j.jedc.2014.06.011>; Rodriguez-Alvarez, M.X. et al. (2015)
 <doi:10.1007/s11222-014-9464-2> and, particularly referred to the focus of
 the package, Minguez, R., Basile, R. and Durban, M. (2020)
 <doi:10.1007/s10260-019-00492-8>.

Package: r-cran-pspline.inference
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-dplyr, r-cran-magrittr, r-cran-assertthat, r-cran-plyr, r-cran-reshape2, r-cran-plotrix, r-cran-rlang
Suggests: r-cran-import, r-cran-ggplot2, r-cran-data.table, r-cran-ggstance, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-kableextra, r-cran-doparallel, r-cran-stringr, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pspline.inference_1.0.4-1.ca2004.1_all.deb
Size: 202332
MD5sum: caad03bfbbf201c10edc6d20084e6f96
SHA1: 3d44ed7e19cd9797e70c80001b2973b3fb872e9f
SHA256: 19db4926a7c109ac07a1555b5a9ca39f8bcac088593f6b8f4c295d97a0fce679
SHA512: 3d105a0e6f07a0dd5ed960628ff6804e2a7675bcd4e37efcf76bdee3d91e3d87bcac1dbb3638a1d765d6af159773cae903220d4bc9ee77b8f7df2daa0aa94109
Homepage: https://cran.r-project.org/package=pspline.inference
Description: CRAN Package 'pspline.inference' (Estimation of Characteristics of Seasonal and SporadicInfectious Disease Outbreaks Using Generalized AdditiveModeling with Penalized Basis Splines)
 Inference of infectious disease outcomes using generalized additive (mixed)
 models with penalized basis splines (P-Splines). See
 <https://medrxiv.org/cgi/content/short/2020.07.14.20138180v1>.

Package: r-cran-pspower
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-pspower_0.1.1-1.ca2004.1_all.deb
Size: 28144
MD5sum: 1ce271143bd34152e364c059ef0bae2f
SHA1: 30d92f398b23a768996c3677dd300012721752a2
SHA256: 68ecf4898d738a626ffd51f9090f53fc2b673e2783720621be7a1c9cb441b150
SHA512: cb4347f262317d7e12dc3c84b479bfa0eff5017de6539c768a3dcd19f6d3921407287e45fdfc5b0cdd46046f5931e783e7474ad89e03131b8608549f4c6bcdb7
Homepage: https://cran.r-project.org/package=PSpower
Description: CRAN Package 'PSpower' (Sample Size Calculation for Propensity Score Analysis)
 Sample size calculations in causal inference with observational data are
 increasingly desired. This package is a tool to calculate sample size under
 prespecified power with minimal summary quantities needed.

Package: r-cran-psr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-psych
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-boot, r-cran-matrix, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-psr_0.1.0-1.ca2004.1_all.deb
Size: 232592
MD5sum: 5662a4f8f97f0eab23f348dff112aff3
SHA1: 656e67e68e3267283b4d02fe878e899e8292bb6d
SHA256: b2f74aa2b6e5c9da27fe13c759ec2e675565382681655d4e2c6b789970fa95a9
SHA512: bd246f79999e33bbb2468da5de5a58aa0c94b45de04a9a33c095968e8bbc5e5b390ccacfb0f8fa067b95129af2ee1940856a5755e9c82253a1b5900f27b7523f
Homepage: https://cran.r-project.org/package=psr
Description: CRAN Package 'psr' (Functions for Analyzing Performance Science Data)
 Contains functions to compute statistics relevant to performance scientists,
 coaches, and athletes. The functions within the package that report
 group-wide statistics have to do with measurement instrument reliability and
 individual change of athletes. Many of them come from the work of Hopkins
 (2000) <doi:10.2165/00007256-200030010-00001>. There are also functions that
 apply a particular statistical concept to each measurement in the data.

Package: r-cran-psre
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1038
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-metap, r-cran-car, r-cran-nortest, r-cran-lawstat, r-cran-damisc, r-cran-ggplot2, r-cran-boot, r-cran-cowplot, r-cran-fancova, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-tibble, r-cran-sm, r-cran-multcomp, r-cran-rlang, r-cran-ggrepel, r-cran-mgcv
Suggests: r-cran-ggeffects, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-psre_0.1.2-1.ca2004.1_all.deb
Size: 618008
MD5sum: 186121146cb7a47406af6146ff102fd3
SHA1: 705f8957fbfe746b42332d3ebf6875a6c74cd1f1
SHA256: d3d7348a801ea7eb4160622729aad097965a9a7009d9ffa5d1b2b4449c36680b
SHA512: ff2bbde7f64ad4a0b40eb0072051ec7d321e48907fe0f01cbc9e4a72493266d5a83c7663ef23da2fcd2b4f55983f78b362250b2556725dce147b5b66f6f0cd53
Homepage: https://cran.r-project.org/package=psre
Description: CRAN Package 'psre' (Presenting Statistical Results Effectively)
 Includes functions and data used in the book "Presenting Statistical Results
 Effectively", Andersen and Armstrong (2022, 978-1446269800).

Package: r-cran-pss.health
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-easypower, r-cran-envstats, r-cran-epir, r-cran-ggplot2, r-cran-icc.sample.size, r-cran-kappasize, r-cran-longpower, r-cran-plotly, r-cran-powermediation, r-cran-powersurvepi, r-cran-presize, r-cran-proc, r-cran-pwr, r-cran-pwr2, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyfeedback, r-cran-shinyhelper, r-cran-writexl
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-mess, r-cran-webpower
Filename: pool/dists/focal/main/r-cran-pss.health_1.1.4-1.ca2004.1_all.deb
Size: 807308
MD5sum: bd3ef50c608b247b967e8c143c066ce6
SHA1: 4e8598588a235ab90e14cb821ea6355eed736d5e
SHA256: f344dcaa8441fa048f8da193c7f00a8502e2ea0b34eb43ce44a43b74203397be
SHA512: 500311b9e1bb09296afe1521f3c7f5dc2a9327e0847b14ef44ce0e9a853a2a74ba3bc219acef4d751f553a279f71fa3c7508afea34f3931d3b8f6a762a7c4e69
Homepage: https://cran.r-project.org/package=PSS.Health
Description: CRAN Package 'PSS.Health' (Power and Sample Size for Health Researchers via Shiny)
 Power and Sample Size for Health Researchers is a Shiny application that
 brings together a series of functions related to sample size and power
 calculations for common analysis in the healthcare field. There are
 functionalities to calculate the power, sample size to estimate or test
 hypotheses for means and proportions (including test for correlated groups,
 equivalence, non-inferiority and superiority), association, correlations
 coefficients, regression coefficients (linear, logistic, gamma, and Cox),
 linear mixed model, Cronbach's alpha, interobserver agreement, intraclass
 correlation coefficients, limit of agreement on Bland-Altman plots, area
 under the curve, sensitivity and specificity incorporating the prevalence of
 disease.  You can also use the online version at
 <https://hcpa-unidade-bioestatistica.shinyapps.io/PSS_Health/>.

Package: r-cran-pssim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pssim_0.1.0-1.ca2004.1_all.deb
Size: 53380
MD5sum: 3d427ecc616d03b325490d806ae6ec54
SHA1: 9e9f05b8176fdb1f6902dbcc11bbcbfed2f731ec
SHA256: 7d8527aba4f22a4c368132fab3af3c6cae8e1f14d97dd796d8ee77a4bdd280e2
SHA512: 4c0e67ba9cb3f4eb2de84b999819531959007d228af8478dd4d129e63c3f6fec21551f5ae30c4e27c2e559507849da3cc9b1656a0615fbee13cd53e9be80e4f3
Homepage: https://cran.r-project.org/package=PSSIM
Description: CRAN Package 'PSSIM' (Test of Independence & Image Structural Similarity Measure PSSIM)
 Test-based Image structural similarity measure and test of independence.
 This package implements the key functions of two tasks: (1) computing image
 structural similarity measure PSSIM of Wang, Maldonado and Silwal (2011)
 <DOI:10.1016/j.csda.2011.04.021>; and (2) test of independence between a
 response and a covariate in presence of heteroscedastic treatment effects
 proposed by Wang, Tolos, and Wang (2010) <DOI:10.1002/cjs.10068>.

Package: r-cran-pssm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-abind, r-cran-numderiv, r-cran-mhadaptive
Filename: pool/dists/focal/main/r-cran-pssm_1.1-1.ca2004.1_all.deb
Size: 135940
MD5sum: 414da2cfe87416b6f46ebdfeaf968f12
SHA1: ac73d74c1945310f2d979d6ff7a485fe82649c56
SHA256: e94b7495ca640532b00b1655b0983537b1a7fe7a0cf971d6272d746c95f7e864
SHA512: 510b74434ebb3a4658fb4723a391ee51fa0c32e68be48395b73ea155ba1b0309a211f295223e271344fff15ab97ff1e4ae5d828de86aa4b9eb370253aac4e826
Homepage: https://cran.r-project.org/package=pssm
Description: CRAN Package 'pssm' (Piecewise Exponential Model for Time to Progression and Timefrom Progression to Death)
 Estimates parameters of a piecewise exponential model for time to
 progression and time from progression to death with interval censoring of
 the time to progression and covariates for each distribution using
 proportional hazards.

Package: r-cran-pssmcool
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3075
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-infotheo, r-cran-phontools, r-cran-dtt
Suggests: r-cran-testthat, r-cran-spelling, r-cran-waveslim, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pssmcool_0.2.4-1.ca2004.1_all.deb
Size: 1516316
MD5sum: 3542363f5c7de565a3b40f1af52ad757
SHA1: 272740e5751d6c9e3f7eb2a5a962aadc38e70764
SHA256: d5c800685fe9a02e1650b3dc946e543774367b81ad44b4d5abb53f6cb0942d0e
SHA512: 75379661d6f5da0372d8f6c0602ee36fbe3b8a504d2362d30ad5c10cd6c4ff856ee81a11d817a7fd08c7e283ca34c9f7ea7910345018023a7c30d52dd2bd72d9
Homepage: https://cran.r-project.org/package=PSSMCOOL
Description: CRAN Package 'PSSMCOOL' (Features Extracted from Position Specific Scoring Matrix (PSSM))
 Returns almost all features that has been extracted from Position Specific
 Scoring Matrix (PSSM) so far, which is a matrix of L rows (L is protein
 length) and 20 columns produced by 'PSI-BLAST' which is a program to produce
 PSSM Matrix from multiple sequence alignment of proteins see
 <https://www.ncbi.nlm.nih.gov/books/NBK2590/> for mor details. some of these
 features are described in Zahiri, J., et al.(2013)
 <DOI:10.1016/j.ygeno.2013.05.006>, Saini, H., et al.(2016)
 <DOI:10.17706/jsw.11.8.756-767>, Ding, S., et al.(2014)
 <DOI:10.1016/j.biochi.2013.09.013>, Cheng, C.W., et al.(2008)
 <DOI:10.1186/1471-2105-9-S12-S6>, Juan, E.Y., et al.(2009)
 <DOI:10.1109/CISIS.2009.194>.

Package: r-cran-pssmooth
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-osdesign, r-cran-np, r-cran-chngpt, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pssmooth_1.0.3-1.ca2004.1_all.deb
Size: 108448
MD5sum: d11fedde81fd03ae4c27f77f2ac2681c
SHA1: 3a12bb0ac0210ececb9b4db8dbaabc8e3261ced0
SHA256: 7c0fc33ee219132a80dc80d9041b631058db5fb69e0301b93bf84494e31be0a4
SHA512: 6251bbb9934b21ba6b686cb4749b056cc8052b388b93a19e4656cdbda86bd351465ab9dbe644dcb10c238819b6cc68da4fa7556bcc7bab602cc2e3491cb02979
Homepage: https://cran.r-project.org/package=pssmooth
Description: CRAN Package 'pssmooth' (Flexible and Efficient Evaluation of PrincipalSurrogates/Treatment Effect Modifiers)
 Implements estimation and testing procedures for evaluating an intermediate
 biomarker response as a principal surrogate of a clinical response to
 treatment (i.e., principal stratification effect modification analysis), as
 described in Juraska M, Huang Y, and Gilbert PB (2020), Inference on
 treatment effect modification by biomarker response in a three-phase
 sampling design, Biostatistics, 21(3): 545-560
 <doi:10.1093/biostatistics/kxy074>. The methods avoid the restrictive
 'placebo structural risk' modeling assumption common to past methods and
 further improve robustness by the use of nonparametric kernel smoothing for
 biomarker density estimation. A randomized controlled two-group clinical
 efficacy trial is assumed with an ordered categorical or continuous
 univariate biomarker response measured at a fixed timepoint
 post-randomization and with a univariate baseline surrogate measure allowed
 to be observed in only a subset of trial participants with an observed
 biomarker response (see the flexible three-phase sampling design in the
 paper for details). Bootstrap-based procedures are available for pointwise
 and simultaneous confidence intervals and testing of four relevant
 hypotheses. Summary and plotting functions are provided for estimation
 results.

Package: r-cran-pst
Architecture: all
Version: 0.94.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 682
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-traminer, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-pst_0.94.1-1.ca2004.1_all.deb
Size: 479416
MD5sum: 0bf199cf7042f151f35689eee0291c36
SHA1: e91d609cf6e2c426f8a1bf981e934b50cb7547b6
SHA256: bc18da6885faadb6d2df48d5bf085fe7661956af17a8b1c4445b983498e440bf
SHA512: 61bde1f0ac918c424d99459ea4dcfd1f24accb3925d3de620ecc9f2068e5da2523cff77e5e062a6f2001c71eb0202fe1a28771089ad52cba28a13f163945c09c
Homepage: https://cran.r-project.org/package=PST
Description: CRAN Package 'PST' (Probabilistic Suffix Trees and Variable Length Markov Chains)
 Provides a framework for analysing state sequences with probabilistic suffix
 trees (PST), the construction that stores variable length Markov chains
 (VLMC). Besides functions for learning and optimizing VLMC models, the PST
 library includes many additional tools to analyse sequence data with these
 models: visualization tools, functions for sequence prediction and
 artificial sequences generation, as well as for context and pattern mining.
 The package is specifically adapted to the field of social sciences by
 allowing to learn VLMC models from sets of individual sequences possibly
 containing missing values, and by accounting for case weights. The library
 also allows to compute probabilistic divergence between two models, and to
 fit segmented VLMC, where sub-models fitted to distinct strata of the
 learning sample are stored in a single PST. This software results from
 research work executed within the framework of the Swiss National Centre of
 Competence in Research LIVES, which is financed by the Swiss National
 Science Foundation. The authors are grateful to the Swiss National Science
 Foundation for its financial support.

Package: r-cran-pstat
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pstat_1.2-1.ca2004.1_all.deb
Size: 106232
MD5sum: 8dbcf4a58a02e3fde0b6f9568ad47a80
SHA1: 6c47d5909ba44188e84b5fd4cda251c7d3e204f3
SHA256: 1ea06879820ace888f779dffd8743bf791039ba946eb25ee1b07849240671087
SHA512: b9ea0b864f2cf875376b4af01fa962b03c977acd3b5da1fc08de9e9b16854ad5fd13dea9eac78d8a5cc15d0508a06151ab5b382e20b7568ddfdc3e61d4e9dbfa
Homepage: https://cran.r-project.org/package=Pstat
Description: CRAN Package 'Pstat' (Assessing Pst Statistics)
 Calculating Pst values to assess differentiation among populations from a
 set of quantitative traits is the primary purpose of such a package. The
 bootstrap method provides confidence intervals and distribution histograms
 of Pst. Variations of Pst in function of the parameter c/h^2 are studied as
 well. Finally, the package proposes different transformations especially to
 eliminate any variation resulting from allometric growth (calculation of
 residuals from linear regressions, Reist standardizations or Aitchison
 transformation).

Package: r-cran-pstest
Architecture: all
Version: 0.1.3.900-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmx, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pstest_0.1.3.900-1.ca2004.1_all.deb
Size: 30564
MD5sum: 71506a7298526101a66c85f710b8e22e
SHA1: 77af95eefa144c78216dd8663d68b57ecda8f79e
SHA256: 22ce35d8b21f596f16f93f3c6e6db8ddf61ce59c1e10088daa6d240c3267fbc3
SHA512: 895c4cc5a17aaf9a60fd0216b8e3c65ce7266fedec59be7abd9dcd5fd594136d15710d705d0836192ae65fb8c30472e4200f19eec1344e53e848cf2a6bd2c4c8
Homepage: https://cran.r-project.org/package=pstest
Description: CRAN Package 'pstest' (Specification Tests for Parametric Propensity Score Models)
 The propensity score is one of the most widely used tools in studying the
 causal effect of a treatment, intervention, or policy. Given that the
 propensity score is usually unknown, it has to be estimated, implying that
 the reliability of many treatment effect estimators depends on the correct
 specification of the (parametric) propensity score. This package implements
 the data-driven nonparametric diagnostic tools for detecting propensity
 score misspecification proposed by Sant'Anna and Song (2019)
 <doi:10.1016/j.jeconom.2019.02.002>.

Package: r-cran-pstrata
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rstan, r-cran-lme4, r-cran-abind, r-cran-dplyr, r-cran-purrr, r-cran-stringr
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-pstrata_0.0.5-1.ca2004.1_all.deb
Size: 396640
MD5sum: f8af5dc5b924f38559393f290c3a0230
SHA1: b72ab37503e76a6f6533aa11aea30338537a92ca
SHA256: 41d6272e0aebad24b32f7fd6efdec47834bd61b11f3552429eb8c779d853e60a
SHA512: 92c0d5ecd126d9224b096c674078b2d1f07df0c622b560efe548a069e42084abd7ef05b55d86d6323d4d0c36e692ca729f0550ecac7ec1435e6c71353813fe7f
Homepage: https://cran.r-project.org/package=PStrata
Description: CRAN Package 'PStrata' (Principal Stratification Analysis in R)
 Estimating causal effects in the presence of post-treatment confounding
 using principal stratification. 'PStrata' allows for customized monotonicity
 assumptions and exclusion restriction assumptions, with automatic full
 Bayesian inference supported by 'Stan'. The main function to use in this
 package is PStrata(), which provides posterior estimates of principal causal
 effect with uncertainty quantification. Visualization tools are also
 provided for diagnosis and interpretation. See Liu and Li (2023)
 <arXiv:2304.02740> for details.

Package: r-cran-psumtsim
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-effectsrelbaseline, r-cran-boot
Filename: pool/dists/focal/main/r-cran-psumtsim_0.4-1.ca2004.1_all.deb
Size: 50728
MD5sum: 7e7cb11e1fa7fe4cbce3cd4630cd2189
SHA1: 6175db37cd2cec4aec206f0d72dfa4582169c036
SHA256: 59b6a548a5a13182de377e9ec31d90978b5d07857e01f87ce3d020e63de3b0f7
SHA512: e512861462d4962ccd4b1ce7263c6ae64479696346ea2c605d8b69ea3aab936b3f7b8b889c14452fb8ec03558463e25ec08595cd03e66f8879aab1a35a515228
Homepage: https://cran.r-project.org/package=PsumtSim
Description: CRAN Package 'PsumtSim' (Simulations of grouped responses relative to baseline)
 Functions to simulate Poisson or Normally distributed responses relative to
 a baseline and compute achieved significance level and powers for tests on
 the simulated responses.

Package: r-cran-psvmsdr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psvmsdr_1.0.2-1.ca2004.1_all.deb
Size: 94404
MD5sum: eb6981899e05a52a7f202b3c3d4b1530
SHA1: 4bd5011fb86bf9127c98f5cf2074a59c2a5843f9
SHA256: 9f25756af011ba9fc5f7cddddc7e5ec7e40c9385ab4d33c704881ac9fc093c89
SHA512: f85ddfae0881b0a39f8d90e4a05b7860a3ac5ec8fcf3a58f1df4a1673a6527970d57e4f3d97b704337a4687920c081f497e8b35d91ef6a5865c427994a7e936f
Homepage: https://cran.r-project.org/package=psvmSDR
Description: CRAN Package 'psvmSDR' (Unified Principal Sufficient Dimension Reduction Package)
 A unified and user-friendly framework for applying the principal sufficient
 dimension reduction methods for both linear and nonlinear cases. The package
 has an extendable power by varying loss functions for the support vector
 machine, even for an user-defined arbitrary function, unless those are
 convex and differentiable everywhere over the support (Li et al. (2011)
 <doi:10.1214/11-AOS932>). Also, it provides a real-time sufficient dimension
 reduction update procedure using the principal least squares support vector
 machine (Artemiou et al. (2021) <doi:10.1016/j.patcog.2020.107768>).

Package: r-cran-psw
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-psw_1.1-3-1.ca2004.1_all.deb
Size: 127120
MD5sum: 03352e30b38d770f7ca137c82a0f9e7e
SHA1: 249a8d7ca769557a00d697c6dd572c72ad202265
SHA256: d139a22315cd23ad5fd50e5e81871cf34cbf84457da2420d365b9dceb5edd168
SHA512: 07b53c50b7e0a554f67ac592be8f6003994ec0e658f0604a16acf2f69fb54f3ca3eda75efaadc206221c549a262876050734b4b72d51ae3869300a03e34dbe8c
Homepage: https://cran.r-project.org/package=PSW
Description: CRAN Package 'PSW' (Propensity Score Weighting Methods for Dichotomous Treatments)
 Provides propensity score weighting methods to control for confounding in
 causal inference with dichotomous treatments and continuous/binary outcomes.
 It includes the following functional modules: (1) visualization of the
 propensity score distribution in both treatment groups with mirror
 histogram, (2) covariate balance diagnosis, (3) propensity score model
 specification test, (4) weighted estimation of treatment effect, and (5)
 augmented estimation of treatment effect with outcome regression. The
 weighting methods include the inverse probability weight (IPW) for
 estimating the average treatment effect (ATE), the IPW for average treatment
 effect of the treated (ATT), the IPW for the average treatment effect of the
 controls (ATC), the matching weight (MW), the overlap weight (OVERLAP), and
 the trapezoidal weight (TRAPEZOIDAL). Sandwich variance estimation is
 provided to adjust for the sampling variability of the estimated propensity
 score. These methods are discussed by Hirano et al (2003)
 <DOI:10.1111/1468-0262.00442>, Lunceford and Davidian (2004)
 <DOI:10.1002/sim.1903>, Li and Greene (2013) <DOI:10.1515/ijb-2012-0030>,
 and Li et al (2016) <DOI:10.1080/01621459.2016.1260466>.

Package: r-cran-psweight
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-nnet, r-cran-mass, r-cran-ggplot2, r-cran-numderiv, r-cran-gbm, r-cran-superlearner, r-cran-survey
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psweight_2.1.1-1.ca2004.1_all.deb
Size: 791716
MD5sum: 79ba7aec37403fbc9d53ac62a4cda2f9
SHA1: f1c94c873bdf2ee97feabf539c70a0b081e8a3fe
SHA256: 5e2f79e95b4fe63d7d417ccafd887e73f32a6701ab7c97832aee6be240c32b43
SHA512: 5947f9450b4372840f3f4c70393a541eac43df5606ff438e26c325da6baf017cb48bdda07223237835cd0205eb6301f7a8f48ff866464e00728fb7fe6122f1b8
Homepage: https://cran.r-project.org/package=PSweight
Description: CRAN Package 'PSweight' (Propensity Score Weighting for Causal Inference withObservational Studies and Randomized Trials)
 Supports propensity score weighting analysis of observational studies and
 randomized trials. Enables the estimation and inference of average causal
 effects with binary and multiple treatments using overlap weights (ATO),
 inverse probability of treatment weights (ATE), average treatment effect
 among the treated weights (ATT), matching weights (ATM) and entropy weights
 (ATEN), with and without propensity score trimming. These weights are
 members of the family of balancing weights introduced in Li, Morgan and
 Zaslavsky (2018) <doi:10.1080/01621459.2016.1260466> and Li and Li (2019)
 <doi:10.1214/19-AOAS1282>.

Package: r-cran-psy
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-psy_1.2-1.ca2004.1_all.deb
Size: 153412
MD5sum: 05367e8d5b07b8e7c46e62f4f5211b9c
SHA1: 89120303d67bed47ce0f6b398bbd1bbde79c1fe5
SHA256: ec5c27752a755c511b001027213aa3924521e694d1b1d58e5bd486dace55c3e7
SHA512: aab28c226ede26c0f61826f58afe84763e39761c392ad3cb382f866742590bb711a71bc927861e752f4832760fa1563420fa86e4fd70b20790e22168290742ac
Homepage: https://cran.r-project.org/package=psy
Description: CRAN Package 'psy' (Various Procedures Used in Psychometrics)
 Kappa, ICC, reliability coefficient, parallel analysis, multi-traits
 multi-methods, spherical representation of a correlation matrix.

Package: r-cran-psyccleaning
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-data.table, r-cran-rlang
Suggests: r-cran-roxygen2, r-cran-covr, r-cran-misty, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psyccleaning_0.1.1-1.ca2004.1_all.deb
Size: 116752
MD5sum: ce5fe07db510dd078bdc85de6d023604
SHA1: e44cdb1b3a53b156e56001fd3b37fa6b70b5877a
SHA256: f4ed780fc585820ac7e80854e39790e541c591d78f3011e350931884dd70926d
SHA512: 3c527da0dbf56d0043b4270413ede1077816b496209bff90bfa81c08072c344376c072282e6555763d5cc8b3f0c647abb1b8a70347c39c2e7ffcf2ae1c081dbd
Homepage: https://cran.r-project.org/package=psycCleaning
Description: CRAN Package 'psycCleaning' (Data Cleaning for Psychological Analyses)
 Useful for preparing and cleaning data. It includes functions to center
 data, reverse coding, dummy code and effect code data, and more.

Package: r-cran-psych
Architecture: all
Version: 2.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3876
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mnormt, r-cran-lattice, r-cran-nlme, r-cran-gparotation
Suggests: r-cran-psychtools, r-cran-lavaan, r-cran-lme4, r-cran-rcsdp, r-bioc-graph, r-cran-knitr, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-psych_2.5.6-1.ca2004.1_all.deb
Size: 3474804
MD5sum: 961773f9133ef708c364c4fac1ec51e5
SHA1: af8527ab6f7d517ddc914f54fa3e0598c9eb0833
SHA256: 57c032e4414c7d52f8482154cf2c31d22e45f1f83c15bb0432fbd51e7dc31336
SHA512: 60f6502e8b7ad3eea5b08cd45d396dcba22a7f2d825a81fcee69d4362816fcda1a4df1cae3e0309905112ebe529cdfdacae984175d47b700eb3a65d0e260d5ed
Homepage: https://cran.r-project.org/package=psych
Description: CRAN Package 'psych' (Procedures for Psychological, Psychometric, and PersonalityResearch)
 A general purpose toolbox developed originally for personality, psychometric
 theory and experimental psychology.  Functions are primarily for
 multivariate analysis and scale construction using factor analysis,
 principal component analysis, cluster analysis and reliability analysis,
 although others provide basic descriptive statistics. Item Response Theory
 is done using factor analysis of tetrachoric and polychoric correlations.
 Functions for analyzing data at multiple levels include within and between
 group statistics, including correlations and factor analysis.  Validation
 and cross validation of scales developed using basic machine learning
 algorithms are provided, as are functions for simulating and testing
 particular item and test structures. Several functions serve as a useful
 front end for structural equation modeling.  Graphical displays of path
 diagrams, including mediation models, factor analysis and structural
 equation models are created using basic graphics. Some of the functions are
 written to support a book on psychometric theory as well as publications in
 personality research. For more information, see the
 <https://personality-project.org/r/> web page.

Package: r-cran-psychmeta
Architecture: all
Version: 2.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3886
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-metafor, r-cran-ggplot2, r-cran-progress, r-cran-curl, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-purrr
Suggests: r-cran-mass, r-cran-mvtnorm, r-cran-nor1mix, r-cran-bib2df, r-cran-rmarkdown, r-cran-knitr, r-cran-stringi, r-cran-cli, r-cran-crayon, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psychmeta_2.7.0-1.ca2004.1_all.deb
Size: 2885760
MD5sum: cdc4ada5ecc86aed7025b96e136ce45e
SHA1: f387b287cb297ed01b83a56a01ecbda062dc39f9
SHA256: 8c41556b40b926b7af2921460e64513886f41a302b1c05170312b9dd66e2f2b2
SHA512: 27a248a40e4d5d1082ed32a0e244c9c8069350b7dee538c298a839dacafb76582eba4c6ad86910a8a705e246353ced650f6e339793f9de2e5b21fa078724bf69
Homepage: https://cran.r-project.org/package=psychmeta
Description: CRAN Package 'psychmeta' (Psychometric Meta-Analysis Toolkit)
 Tools for computing bare-bones and psychometric meta-analyses and for
 generating psychometric data for use in meta-analysis simulations. Supports
 bare-bones, individual-correction, and artifact-distribution methods for
 meta-analyzing correlations and d values. Includes tools for converting
 effect sizes, computing sporadic artifact corrections, reshaping
 meta-analytic databases, computing multivariate corrections for range
 variation, and more. Bugs can be reported to
 <https://github.com/psychmeta/psychmeta/issues> or <issues@psychmeta.com>.

Package: r-cran-psycho
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales, r-cran-dplyr, r-cran-stringr, r-cran-ggplot2, r-cran-insight, r-cran-bayestestr, r-cran-parameters, r-cran-effectsize
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-gparotation
Filename: pool/dists/focal/main/r-cran-psycho_0.6.1-1.ca2004.1_all.deb
Size: 187544
MD5sum: a4e41b838fce60b84581c1a5f958e437
SHA1: 04dcff86d0ab1188f397ff8de225993fe72768c2
SHA256: c6182fe5e88f046a60245fad864aa899a4ed72f4b886e6d60184f0dcc8bdb0f8
SHA512: 52fad4ebf4482c77394ec974f364faf684e627f1513c597333a0ee5fe95f688f3964a9b91616b864d64478d55985e0d7278f49e23fa084bf7a1170945583f05b
Homepage: https://cran.r-project.org/package=psycho
Description: CRAN Package 'psycho' (Efficient and Publishing-Oriented Workflow for PsychologicalScience)
 The main goal of the psycho package is to provide tools for psychologists,
 neuropsychologists and neuroscientists, to facilitate and speed up the time
 spent on data analysis. It aims at supporting best practices and tools to
 format the output of statistical methods to directly paste them into a
 manuscript, ensuring statistical reporting standardization and conformity.

Package: r-cran-psychometric
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-multilevel, r-cran-purrr, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-psychometric_2.4-1.ca2004.1_all.deb
Size: 192224
MD5sum: 72eaf7e6f1f52caa286f5bb3e0628f61
SHA1: b419760fa4e81b326a6c83f3d59599513c214a07
SHA256: 8d5c69b9483c4fb4657b7421299ea5df47587ca47ebc15c99dd0d7a897eaba13
SHA512: b1d65d5e906e1633b05edb50befe7a34b27a7b4c6fffe34ff2f9cdf7bf632155ff473c4039cb5409e8ae8ae0d488acd3e057b129a43742292d69085f3af7e64e
Homepage: https://cran.r-project.org/package=psychometric
Description: CRAN Package 'psychometric' (Applied Psychometric Theory)
 Contains functions useful for correlation theory, meta-analysis
 (validity-generalization), reliability, item analysis, inter-rater
 reliability, and classical utility.

Package: r-cran-psychomix
Architecture: all
Version: 1.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexmix, r-cran-psychotools, r-cran-lattice, r-cran-formula, r-cran-modeltools
Suggests: r-cran-effects, r-cran-lmtest, r-cran-nnet, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-psychomix_1.1-9-1.ca2004.1_all.deb
Size: 834072
MD5sum: ee0fbb47796a44c98a23c03a652977c4
SHA1: 3668be3cc8d5cf0a42cfcf70d85ee20b7ea48a73
SHA256: 67f53f45f4d00ef5440fe6b91ed1285fe2cac57df6675577e96cd6f6bcf3d67f
SHA512: 99501bd94dbd64f927d5a769ce8a0902d53c22640dae448724d11a6882ad78bbabb10e1cb7539aaff79f36be1b994b87ceb50c74d81276d468a45880f249da7f
Homepage: https://cran.r-project.org/package=psychomix
Description: CRAN Package 'psychomix' (Psychometric Mixture Models)
 Psychometric mixture models based on 'flexmix' infrastructure. At the moment
 Rasch mixture models with different parameterizations of the score
 distribution (saturated vs. mean/variance specification), Bradley-Terry
 mixture models, and MPT mixture models are implemented. These mixture models
 can be estimated with or without concomitant variables. See Frick et al.
 (2012) <doi:10.18637/jss.v048.i07> and Frick et al. (2015)
 <doi:10.1177/0013164414536183> for details on the Rasch mixture models.

Package: r-cran-psychotree
Architecture: all
Version: 0.16-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-partykit, r-cran-psychotools, r-cran-formula
Suggests: r-cran-stablelearner, r-cran-strucchange, r-cran-tinytest, r-cran-mirt
Filename: pool/dists/focal/main/r-cran-psychotree_0.16-1-1.ca2004.1_all.deb
Size: 456980
MD5sum: c9a3814a08921a28eeef2c29e5476a73
SHA1: b7ed9d8886c738902bb8dd867f0d9102ee979133
SHA256: 9d5b62509be10ac816b5b7bb8acdaf9305b957e5b5b9f3f8ca02935d554740aa
SHA512: acda7f4918181372cd13d030f22f4b3ea8e03a2c71f71be62600c9a2cb0c94d3a26d92e0de32b2ca8f69ab3c212d7d8683db108bb02134581a4bc4a3ea450186
Homepage: https://cran.r-project.org/package=psychotree
Description: CRAN Package 'psychotree' (Recursive Partitioning Based on Psychometric Models)
 Recursive partitioning based on psychometric models, employing the general
 MOB algorithm (from package partykit) to obtain Bradley-Terry trees, Rasch
 trees, rating scale and partial credit trees, and MPT trees, trees for 1PL,
 2PL, 3PL and 4PL models and generalized partial credit models.

Package: r-cran-psychreport
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-dplyr, r-cran-ez, r-cran-xtable
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psychreport_3.0.2-1.ca2004.1_all.deb
Size: 104960
MD5sum: ff9a1f5a36f700b9fb4355a5769fd85c
SHA1: b59ff3463885b4fd7a03253ceeac210a15d02290
SHA256: c2274cf616474c184f527d110e22c92d3b95af727169a53a9597b063d025b3a8
SHA512: 056302ef8ace245c719117be5c219d581809d0812dfc4fd5914d17b1c4f21629183c74eacdfe3a4ee4b57db7a3ab64ff6bd8b87340d6453d56591eeb8d3f9a63
Homepage: https://cran.r-project.org/package=psychReport
Description: CRAN Package 'psychReport' (Reproducible Reports in Psychology)
 Helper functions for producing reports in Psychology (Reproducible
 Research). Provides required formatted strings (APA style) for use in
 'Knitr'/'Latex' integration within *.Rnw files.

Package: r-cran-psychtools
Architecture: all
Version: 2.5.7.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4922
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-psych, r-cran-foreign, r-cran-rtf
Suggests: r-cran-gparotation, r-cran-lavaan, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-psychtools_2.5.7.22-1.ca2004.1_all.deb
Size: 4073600
MD5sum: 7d893b50679ea81d8194e657e486c2c3
SHA1: 1606d63db8e86d9773fac4efcc4a6d1fe044ae21
SHA256: 34ed3ca0e7f0e7bd61c3cea80b0eed66357436547648b32ee990582696bea2ec
SHA512: 601aa105fde11ed0876a25ac2430545dd6fdac1c5030d35f34d84c6f955a1a2df668fd248b9dc77cd5062e5dc0ccb47d67407e89a7dbe1ed26377fecb4086dcd
Homepage: https://cran.r-project.org/package=psychTools
Description: CRAN Package 'psychTools' (Tools to Accompany the 'psych' Package for PsychologicalResearch)
 Support functions, data sets, and vignettes for the 'psych' package.
 Contains several of the biggest data sets for the 'psych' package as well as
 four vignettes. A few helper functions for file manipulation are included as
 well. For more information, see the <https://personality-project.org/r/> web
 page.

Package: r-cran-psychwordvec
Architecture: all
Version: 2025.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brucer, r-cran-dplyr, r-cran-stringr, r-cran-data.table, r-cran-purrr, r-cran-vroom, r-cran-cli, r-cran-ggplot2, r-cran-ggrepel, r-cran-corrplot, r-cran-psych, r-cran-rtsne, r-cran-rgl, r-cran-qgraph, r-cran-rsparse, r-cran-text2vec, r-cran-word2vec, r-cran-fasttextr
Suggests: r-cran-text, r-cran-wordsalad, r-cran-sweater, r-cran-glue
Filename: pool/dists/focal/main/r-cran-psychwordvec_2025.3-1.ca2004.1_all.deb
Size: 3996740
MD5sum: bfbba33769b1c8d06b599aaeaf1dc621
SHA1: d3fb9ea4728ab065fc5ff2d1d5f7e82b8c3b36d8
SHA256: fdbe508748ef630b59cd997d9c332989c3dd695c338b0d27b09f335080ac327e
SHA512: b9af8442c39b7628f943e7a5780e1edc421c6c8119fca390eeb5be0423f8b8bc30b27bc78fa1610c8f3b530f8b902a261981456cf50854f50a1853aca63f390d
Homepage: https://cran.r-project.org/package=PsychWordVec
Description: CRAN Package 'PsychWordVec' (Word Embedding Research Framework for Psychological Science)
 An integrative toolbox of word embedding research that provides: (1) a
 collection of 'pre-trained' static word vectors in the '.RData' compressed
 format <https://psychbruce.github.io/WordVector_RData.pdf>; (2) a group of
 functions to process, analyze, and visualize word vectors; (3) a range of
 tests to examine conceptual associations, including the Word Embedding
 Association Test <doi:10.1126/science.aal4230> and the Relative Norm
 Distance <doi:10.1073/pnas.1720347115>, with permutation test of
 significance; and (4) a set of training methods to locally train (static)
 word vectors from text corpora, including 'Word2Vec'
 <doi:10.48550/arXiv.1301.3781>, 'GloVe' <doi:10.3115/v1/D14-1162>, and
 'FastText' <doi:10.48550/arXiv.1607.04606>.

Package: r-cran-psycmodel
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1263
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-insight, r-cran-lavaan, r-cran-lifecycle, r-cran-lme4, r-cran-lmertest, r-cran-parameters, r-cran-patchwork, r-cran-performance, r-cran-psych, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-correlation, r-cran-covr, r-cran-cowplot, r-cran-fansi, r-cran-ggrepel, r-cran-gparotation, r-cran-gridextra, r-cran-interactions, r-cran-knitr, r-cran-nfactors, r-cran-nlme, r-cran-pagedown, r-cran-qqplotr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sandwich, r-cran-see, r-cran-semplot, r-cran-spelling, r-cran-testthat, r-cran-lavasearch2
Filename: pool/dists/focal/main/r-cran-psycmodel_0.5.0-1.ca2004.1_all.deb
Size: 858868
MD5sum: 64c0ab197d5fab53160d7d4a0fc50533
SHA1: 824e917a70960936bbaf294f8317fb10cf787ac0
SHA256: 4e92973742afea4dbdef15a88e911f98f4ff07ed134d570e243f97a2ff4c1300
SHA512: 42bddbdf6c5f386fad5f0906a134611b8b0d26b6f8e82b2f5393575385259572ead260296d1dbeaf19cb8580c4f9d82924de174267b3b5e62e73eac1712e9629
Homepage: https://cran.r-project.org/package=psycModel
Description: CRAN Package 'psycModel' (Integrated Toolkit for Psychological Analysis and Modeling in R)
 A beginner-friendly R package for modeling in psychology or related field.
 It allows fitting models, plotting, checking goodness of fit, and model
 assumption violations all in one place. It also produces beautiful and
 easy-to-read output.

Package: r-cran-psycontrol
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltm, r-cran-irtoys
Filename: pool/dists/focal/main/r-cran-psycontrol_1.0.0.0-1.ca2004.1_all.deb
Size: 92652
MD5sum: 3a4c6710027f6dc9f49c87e0ed4a8007
SHA1: 3ea7891c9e1c262abed2bbca1873fdebf83d738b
SHA256: 8411c65397d2336e65ab5ed24ab953e3f536b15c8520dae841f2b39cabdf1a16
SHA512: 24ab3f4e6d2f0347582a0d7d814c9547ac8718f5dd1a4e9c9a418d58cc2e56a07c7a4e5225f08f00e1c76cb7a6f7371d14bcdc80ca1d20304bc31de5d7d5b331
Homepage: https://cran.r-project.org/package=PsyControl
Description: CRAN Package 'PsyControl' (CUSUM Person Fit Statistics)
 Person fit statistics based on Quality Control measures are provided for
 questionnaires and tests given a specified IRT model. Statistics based on
 Cumulative Sum (CUSUM) charts are provided. Options are given for banks with
 polytomous and dichotomous data.

Package: r-cran-psymetadata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-psymetadata_1.0.1-1.ca2004.1_all.deb
Size: 502000
MD5sum: b277f7b9dd332e90e39dc9ef3150b29b
SHA1: 0a8a40bdf88dbb741c5cde46b4944c5f34edb231
SHA256: 43886defaf8741db036c3fc2dfdf1d06ddff5e2ba656ea4cf3379b514b2245bc
SHA512: a946dec13428996aa985ed489ca2d89f1c9814bab60dcfcb961584e89c0c344e76a0ad12a93567ccf58232fb70ef462653082ec6db3b8ba51dd7dac21e6cde01
Homepage: https://cran.r-project.org/package=psymetadata
Description: CRAN Package 'psymetadata' (Open Datasets from Meta-Analyses in Psychology Research)
 Data and examples from meta-analyses in psychology research.

Package: r-cran-psymonitor
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-psymonitor_0.0.2-1.ca2004.1_all.deb
Size: 83532
MD5sum: 9c416eb14359d73762c848e1cbba8061
SHA1: d2d7401cb0884767fc4bc82b0c42f371864badf2
SHA256: da41554e98e0ad6699c0788f0cb6e0cc115602fa103f94a39aeea5d2ae1aa33a
SHA512: 6fb79c4460bf3e4458ccf7ae7dff21dd8f9971e846d8fb392d040eb7a383be93cf1d353434ad27a5fdc02bb5d6415b7800a8690c6778c7fcb815168decbf2218
Homepage: https://cran.r-project.org/package=psymonitor
Description: CRAN Package 'psymonitor' (Real Time Monitoring of Asset Markets: Bubbles and Crisis)
 Apply the popular real-time monitoring strategy proposed by Phillips, Shi
 and Yu (2015a,b;PSY) <doi:10.1111/iere.12132>, <doi:10.1111/iere.12131>,
 along with a new bootstrap procedure designed to mitigate the potential
 impact of heteroskedasticity and to effect family-wise size control in
 recursive testing algorithms (Phillips and Shi, forthcoming).

Package: r-cran-psyntur
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-formula.tools, r-cran-ggally, r-cran-purrr, r-cran-ggthemes, r-cran-psych, r-cran-plyr, r-cran-effsize, r-cran-rlang, r-cran-fastdummies, r-cran-ez, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-psyntur_0.1.0-1.ca2004.1_all.deb
Size: 386644
MD5sum: 4e5475f672545779de656ee22c34fcac
SHA1: 43f690e0b8f69ae3bdedb03951f9d0eb755f2a74
SHA256: ad5a282596b7b525000000168ec083defa59e3c6cd6832518fc71761a1379319
SHA512: 65383e81f6695e8940947a210801ad279153e2c7879cd3eda26a36ba49a7ed6fa181de2fbb6d626abadd53789819925b24a52f5bb5fe34d442b8d04201b2bcd6
Homepage: https://cran.r-project.org/package=psyntur
Description: CRAN Package 'psyntur' (Helper Tools for Teaching Statistical Data Analysis)
 Provides functions and data-sets that are helpful for teaching statistics
 and data analysis. It was originally designed for use when teaching students
 in the Psychology Department at Nottingham Trent University.

Package: r-cran-psyphy
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-mass, r-cran-nlme, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-psyphy_0.3-1.ca2004.1_all.deb
Size: 109356
MD5sum: d0415a4ea57a9daea04e46cc7ea293c0
SHA1: d129e8423a8a3d6eee9d0157e1833c3ed77a70f8
SHA256: a9e69c467adcf315f32bc7e3451ad9d59c4c3a20599e62a2177de6e4c9184144
SHA512: 68c89b6523f2f90a849e050e349d7a9761679b22a4c2b553011d0f8fbca9d9d35884e1d95b2bdb4f4735ccbdd0be44fc3dfecaf3fce3d3169fb0c9093975666d
Homepage: https://cran.r-project.org/package=psyphy
Description: CRAN Package 'psyphy' (Functions for Analyzing Psychophysical Data in R)
 An assortment of functions that could be useful in analyzing data from
 psychophysical experiments. It includes functions for calculating d' from
 several different experimental designs, links for m-alternative
 forced-choice (mafc) data to be used with the binomial family in glm (and
 possibly other contexts) and self-Start functions for estimating gamma
 values for CRT screen calibrations.

Package: r-cran-psyverse
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-yaml, r-cran-yum
Suggests: r-cran-covr, r-cran-diagrammer, r-cran-haven, r-cran-googlesheets4, r-cran-knitr, r-cran-openxlsx, r-cran-readxl, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-writexl, r-cran-xlconnect
Filename: pool/dists/focal/main/r-cran-psyverse_0.2.6-1.ca2004.1_all.deb
Size: 290500
MD5sum: 2fa70fdad88698b2aa6c1c00ba4950c5
SHA1: c7aee746699e167a306fa6b8ebccc969f7236329
SHA256: 12c08435b293e6eaf2808eefc5c84d2d871b0edfd31534292b8c0603f37c7634
SHA512: 83dfcebf113c9239e89b4f5787c7af523ab355551ec10c64b0fe90b9b43e4ce4464a03f1ac1cc6d78806fd0161760750a1ba952e94bf17ccb83cc6375376290e
Homepage: https://cran.r-project.org/package=psyverse
Description: CRAN Package 'psyverse' (Decentralized Unequivocality in Psychological Science)
 The constructs used to study the human psychology have many definitions and
 corresponding instructions for eliciting and coding qualitative data
 pertaining to constructs' content and for measuring the constructs. This
 plethora of definitions and instructions necessitates unequivocal reference
 to specific definitions and instructions in empirical and secondary
 research.  This package implements a human- and machine-readable standard
 for specifying construct definitions and instructions for measurement and
 qualitative research based on 'YAML'. This standard facilitates systematic
 unequivocal reference to specific construct definitions and corresponding
 instructions in a decentralized manner (i.e.  without requiring central
 curation; Peters (2020) <doi:10.31234/osf.io/xebhn>).

Package: r-cran-ptable
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-flexdashboard, r-cran-ggplot2, r-cran-nloptr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ptable_1.0.0-1.ca2004.1_all.deb
Size: 226684
MD5sum: d8d17b7fcc19baab69e630694d3b8b4d
SHA1: ab83780fa3f308c906891010582344b4da17b493
SHA256: fe291fd15f09156adaf396ea5df39c90ddc60583f4f4102341ba887ad6919d9a
SHA512: 641e2b87926e6bb3f06e368daf367e3c59f419b49faed939dec40eee3a7051e6ae2a869f5775100fbaa20f57548c1b644ac79b4fd19c4d46ad450594122cf438
Homepage: https://cran.r-project.org/package=ptable
Description: CRAN Package 'ptable' (Generation of Perturbation Tables for the Cell-Key Method)
 Tabular data from statistical institutes and agencies are mostly
 confidential and must be protected prior to publications. The cell-key
 method is a post-tabular Statistical Disclosure Control perturbation
 technique that adds random noise to tabular data. The statistical properties
 of the perturbations are defined by some noise probability distributions -
 also referred to as perturbation tables.  This tool can be used to create
 the perturbation tables based on a maximum entropy approach as described for
 example in Giessing (2016) <doi:10.1007/978-3-319-45381-1_18>. The
 perturbation tables created can finally be used to apply a cell-key method
 to frequency count or magnitude tables.

Package: r-cran-ptak
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1413
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tensor
Filename: pool/dists/focal/main/r-cran-ptak_2.0.0-1.ca2004.1_all.deb
Size: 1349860
MD5sum: 98223abe382c8526bc9f3ea3167d6944
SHA1: 4220ba70ba1a8116b364480dd9e668e47e43455c
SHA256: 2cfa84c2ddb5105a98cf5a80f64643fe56f794e71cd7b75d45531a4f66a76f09
SHA512: acab13951b9ecc07421cc872e6c2b614b42e929c192a6fa8ecf7d86f0c7e02fa83eca704724284477896f768bd252e87b525e71eeff65d9393e2f2ca6a4822f1
Homepage: https://cran.r-project.org/package=PTAk
Description: CRAN Package 'PTAk' (Principal Tensor Analysis on k Modes)
 A multiway method to decompose a tensor (array) of any order, as a
 generalisation of SVD also supporting non-identity metrics and
 penalisations. 2-way SVD with these extensions is also available. The
 package includes also some other multiway methods: PCAn (Tucker-n) and
 PARAFAC/CANDECOMP with these extensions.

Package: r-cran-pte
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-survival
Filename: pool/dists/focal/main/r-cran-pte_1.7-1.ca2004.1_all.deb
Size: 72616
MD5sum: b0b0dfdea4a230a6d6acfae6c2ea7eda
SHA1: dde847c910f830328294c60b0cd80f96aee6552d
SHA256: 132e3d4dff22b3c87dcc05b3e674ded41e9239ffe52c8077e46d72f0e1e02723
SHA512: 6cce741fba38b25cbc8e13c8d33ee15b371d06c0f570344b87ac40cfc612f937c5723327f84f1cfeecb3c4ce69404dab9093fe4b0257be7b2c8e6b325f0d69ef
Homepage: https://cran.r-project.org/package=PTE
Description: CRAN Package 'PTE' (Personalized Treatment Evaluator)
 We provide inference for personalized medicine models. Namely, we answer the
 questions: (1) how much better does a purported personalized recommendation
 engine for treatments do over a business-as-usual approach and (2) is that
 difference statistically significant?

Package: r-cran-pterp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-pterp_1.0-1.ca2004.1_all.deb
Size: 58072
MD5sum: 862e9a461afb5286d7ab63d331b33a01
SHA1: 254bedd56c36f4242fe016fb9e04c0b045d37aca
SHA256: a69faf13cabff83e66fe085d8b561bc27735b5ad4c62487eb3535dca4388823f
SHA512: 2c28124644634247fe9ffaba116ab5bd966427154dcb3cf53f213600be3ee3c43317b78a303cad372eb6f7456271892054459e9ad9bcf19529381be623673e1f
Homepage: https://cran.r-project.org/package=PTERP
Description: CRAN Package 'PTERP' (PTE and RP for Optimally-Transformed Surrogate)
 Evaluates the strength of a surrogate marker by estimating the proportion of
 treatment effect explained (PTE) and relative power(RP) for the
 optimally-transformed version of the surrogate.  Details available in Wang
 et al (2022) <arXiv:2209.08414>.

Package: r-cran-ptetools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bmisc, r-cran-matrix, r-cran-ggplot2, r-cran-drdid, r-cran-tidyr, r-cran-dplyr, r-cran-pbapply, r-cran-splines2
Suggests: r-cran-testthat, r-cran-did
Filename: pool/dists/focal/main/r-cran-ptetools_1.0.0-1.ca2004.1_all.deb
Size: 361868
MD5sum: 366180ce95c01929ad68a66205875898
SHA1: 4a007cf2548af127efc52effbb9748a08430f33b
SHA256: 29c4407bcaa3fc94b12adb3cacdbd8b9414fb60f19003dbcd33d08bf1c59f7b6
SHA512: 842caae9cd7b46798f1277186a71ac44a8ec9ef6901b820d4518ac89be3291b15f5bcbddb4894e99188ff106ee9d263bdba44f184426894b2ec908f7819650fe
Homepage: https://cran.r-project.org/package=ptetools
Description: CRAN Package 'ptetools' (Panel Treatment Effects Tools)
 Generic code for estimating treatment effects with panel data.  The idea is
 to break into separate steps organizing the data, looping over groups and
 time periods, computing group-time average treatment effects, and
 aggregating group-time average treatment effects.  Often, one is able to
 implement a new identification/estimation procedure by simply replacing the
 step on estimating group-time average treatment effects.  See several
 different examples of this approach in the package documentation.

Package: r-cran-ptitan2
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-bookdown, r-cran-diagrammer, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-readr, r-cran-rmarkdown, r-cran-titan2, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-ptitan2_1.0.2-1.ca2004.1_all.deb
Size: 386120
MD5sum: 9951f74e7ab78d53ab85d10917d70275
SHA1: 02ac72004b0162cc9dc41dc432dfaa91ec88b25c
SHA256: 3fea19564417e9cf743761a5ab6ef4bf412a6a3feb22c72c501279b9d0231fb5
SHA512: a0a65af9cfc616e86486534437e1294d4f5f3c16928259190eb08fb222c2e662658444bf9caa9f58d438275e5b90eca12aa0478cab1427753b518e9de72dba93
Homepage: https://cran.r-project.org/package=pTITAN2
Description: CRAN Package 'pTITAN2' (Permutations of Treatment Labels and TITAN2 Analysis)
 Permute treatment labels for taxa and environmental gradients to generate an
 empirical distribution of change points.  This is an extension for the
 'TITAN2' package <https://cran.r-project.org/package=TITAN2>.

Package: r-cran-ptm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1695
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bio3d, r-cran-curl, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ptm_1.0.1-1.ca2004.1_all.deb
Size: 1498020
MD5sum: 630fd7a898b6ab11b6b9d59ac3987989
SHA1: f6b08275a4caa8abeec14dbe24298144d351afb5
SHA256: 8ba3ca01b135bad06880fed6792a02ebf7d23bf3786afb000196fe2ba463bf62
SHA512: 2910afa2020a9087b765f7779e5d4bb4e0ea8fc0e7c704113d3777082219d69c06d45f595a94d1596a84238069b75a34c5c22d72a6c42b7283e1a9e8d3067f13
Homepage: https://cran.r-project.org/package=ptm
Description: CRAN Package 'ptm' (Analyses of Protein Post-Translational Modifications)
 Contains utilities for the analysis of post-translational modifications
 (PTMs) in proteins, with particular emphasis on the sulfoxidation of
 methionine residues. Features include the ability to download, filter and
 analyze data from the sulfoxidation database 'MetOSite'. Utilities to search
 and characterize S-aromatic motifs in proteins are also provided.  In
 addition, functions to analyze sequence environments around modifiable
 residues in proteins can be found.  For instance, 'ptm' allows to search for
 amino acids either overrepresented or avoided around the modifiable residues
 from the proteins of interest. Functions tailored to test statistical
 hypothesis related to these differential sequence environments are also
 implemented.  Further and detailed information regarding the methods in this
 package can be found in (Aledo (2020) <https://metositeptm.com>).

Package: r-cran-ptmixed
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glmmadaptive, r-cran-lme4, r-cran-matrixcalc, r-cran-moments, r-cran-mvtnorm, r-cran-numderiv, r-bioc-tweedeseq
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ptmixed_1.1.3-1.ca2004.1_all.deb
Size: 250924
MD5sum: 50a17b74d2a1337589b0c1b2b6026897
SHA1: 89c532d95655eeec7c0ac7c8ebd214cbebf0bfbf
SHA256: 2eda30d5864cc14137038d967f6a2b6fa3a093a49b5e0524bb93fd67c2e5dde4
SHA512: bae04334c075cf653f37970cd733103ad62218c85292f6331722761b1b98c1836db649d6551c4d21701d44caed62129bed961ed4514b73d9182210e89f8d411f
Homepage: https://cran.r-project.org/package=ptmixed
Description: CRAN Package 'ptmixed' (Poisson-Tweedie Generalized Linear Mixed Model)
 Fits the Poisson-Tweedie generalized linear mixed model described in
 Signorelli et al. (2021, <doi:10.1177/1471082X20936017>).  Likelihood
 approximation based on adaptive Gauss Hermite quadrature rule.

Package: r-cran-ptools
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2222
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-partitions, r-cran-sp, r-cran-raster, r-cran-igraph, r-cran-rann, r-cran-spatstat.geom, r-cran-spatstat.utils, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ptools_2.0.0-1.ca2004.1_all.deb
Size: 2131616
MD5sum: 89292d1213ea4145bc4a3cd646fce2ba
SHA1: 58eaa4d343e75972a599aa636aff1260c129ef7e
SHA256: bb768dcbda2fdfc71db1fc18b890bf84d3a75e97f09da90b3cd73e87e06febad
SHA512: 41319cfee414231c3239ca0d979d62b7ab3a40a373230d955af5f087d1fa74cf49e9e0db8d78147c5e3d7a4d4587a93693470947a079e083df92450483d328c2
Homepage: https://cran.r-project.org/package=ptools
Description: CRAN Package 'ptools' (Tools for Poisson Data)
 Functions used for analyzing count data, mostly crime counts. Includes
 checking difference in two Poisson counts (e-test), checking the fit for a
 Poisson distribution, small sample tests for counts in bins, Weighted
 Displacement Difference test (Wheeler and Ratcliffe, 2018)
 <doi:10.1186/s40163-018-0085-5>, to evaluate crime changes over time in
 treated/control areas. Additionally includes functions for aggregating
 spatial data and spatial feature engineering.

Package: r-cran-ptprocess
Architecture: all
Version: 3.3-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ptprocess_3.3-17-1.ca2004.1_all.deb
Size: 273144
MD5sum: 014941450eb05871526017964c29b432
SHA1: 3e9b21ebd482ea5f1ee54582cfda8ac99ee94417
SHA256: cab26eab10861bdb18b60f9abda047234eaef8e38028b88f28a4c792db4a86ba
SHA512: c48669acf0275832d1361acf096607adb5f399694098490ea9eebf011725ac0402946aa17cc12b65880e7afd15b85bc03c32cec6aa244ee7aac1e21307664c1d
Homepage: https://cran.r-project.org/package=PtProcess
Description: CRAN Package 'PtProcess' (Time Dependent Point Process Modelling)
 Fits and analyses time dependent marked point process models with an
 emphasis on earthquake modelling. For a more detailed introduction to the
 package, see the topic "PtProcess". A list of recent changes can be found in
 the topic "Change Log".

Package: r-cran-ptspotter
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-beepr, r-cran-log4r, r-cran-this.path, r-cran-pryr, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-projecttemplate, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ptspotter_1.0.2-1.ca2004.1_all.deb
Size: 36280
MD5sum: 4f73eeb3dcdf8386cb267de389e4cf85
SHA1: ab0a425e2cc28d162219e90065c3462b350fa93a
SHA256: 84f146cb8c3f57db28088712101d2554d17b34285f65873def3b0604cc499b01
SHA512: 8c85db1e8a12c82d6872a31e06f5d418e0f901183091032af58d9508f73900d37bcd6b99161b755de3a37f862faa7fa532b441fff80d3723d7c74a177e951ef8
Homepage: https://cran.r-project.org/package=ptspotter
Description: CRAN Package 'ptspotter' (Helper Functions for Use with "ProjectTemplate")
 Utility functions produced specifically for (but not limited to) working
 with 'ProjectTemplate' data pipelines. This package helps to quickly create
 and manage sequentially numbered scripts, quickly set up logging with
 'log4r' and functions to help debug and monitor procedures.

Package: r-cran-ptsr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-extradistr, r-cran-suppdists, r-cran-actuar, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-ptsr_0.1.3-1.ca2004.1_all.deb
Size: 70472
MD5sum: 42d818509e54297649e3af2ec1de90e9
SHA1: 4ff471ccd81fc465564f231479a09eaa73c11b84
SHA256: f02d18252ec66698452d8fa219a151efbcd33a7e6359da268633b02a41eea75e
SHA512: d0ce08b4580671a5a0fd58d77821365ed2ee34bab72c88db1941cfbe900dc5e88937c6574ddfa2b826b79dc9d7c88154355b47839e62d63b256125e3a7d4c5ee
Homepage: https://cran.r-project.org/package=PTSR
Description: CRAN Package 'PTSR' (Positive Time Series Regression)
 A collection of functions to simulate, estimate and forecast a wide range of
 regression based dynamic models for positive time series. This package
 implements the results presented in Prass, T.S.; Pumi, G.; Taufemback, C.G.
 and Carlos, J.H. (2025). "Positive time series regression models:
 theoretical and computational aspects". Computational Statistics 40,
 1185–1215. <doi:10.1007/s00180-024-01531-z>.

Package: r-cran-pttstability
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-bayesiantools
Filename: pool/dists/focal/main/r-cran-pttstability_1.4-1.ca2004.1_all.deb
Size: 113788
MD5sum: a7b2c48f890a0c8447aaf3c30756dcf7
SHA1: 8463f7b42ef9a08f4302e73e87044cc3e3a7a24d
SHA256: 51b388382189b64b4353715ecd49bc3ae876e38aa5977ec8a369cbb0b16b80b3
SHA512: f55520de79d1dabe324c2a685402d1b95c31ce36bf237f1bca407e00b79632be2f9765972cc318650157da7cc98d27b799656d2a5986c349de8ef71d59ed334e
Homepage: https://cran.r-project.org/package=pttstability
Description: CRAN Package 'pttstability' (Particle-Takens Stability)
 Includes a collection of functions presented in "Measuring stability in
 ecological systems without static equilibria" by Clark et al. (2022)
 <doi:10.1002/ecs2.4328> in Ecosphere.  These can be used to estimate the
 parameters of a stochastic state space model (i.e. a model where a time
 series is observed with error). The goal of this package is to estimate the
 variability around a deterministic process, both in terms of observation
 error - i.e. variability due to imperfect observations that does not
 influence system state - and in terms of process noise - i.e.  stochastic
 variation in the actual state of the process. Unlike classical methods for
 estimating variability, this package does not necessarily assume that the
 deterministic state is fixed (i.e.  a fixed-point equilibrium), meaning that
 variability around a dynamic trajectory can be estimated (e.g. stochastic
 fluctuations during predator-prey dynamics).

Package: r-cran-ptvapi
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-glue, r-cran-digest, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-ptvapi_2.0.5-1.ca2004.1_all.deb
Size: 397984
MD5sum: 8cdaa0cb3cecc80397924d8ee3016496
SHA1: f8a7f24754beab800a6d256627b068a8d862b23b
SHA256: 2428a16f81dafa638933f7af7084ccbee9524579ae8d40b20bb643c56f2c6d51
SHA512: 6cd1c55a3ea164b1d863ad9c83172e841d832f4d681beed608d4d003ed5f7d116bc8a43209a82ca8bdf90fb154e190902fa5809f6ae3bd6380ca2fac167ddc86
Homepage: https://cran.r-project.org/package=ptvapi
Description: CRAN Package 'ptvapi' (Access the 'Public Transport Victoria' Timetable API)
 Access the 'Public Transport Victoria' Timetable API
 <https://www.ptv.vic.gov.au/footer/data-and-reporting/datasets/ptv-timetable-api/>,
 with results returned as familiar R data structures. Retrieve information on
 stops, routes, disruptions, departures, and more.

Package: r-cran-ptwikiwords
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ptwikiwords_0.0.3-1.ca2004.1_all.deb
Size: 857248
MD5sum: 69dc5a780caad7e2dc91fbf385afa35c
SHA1: 035a81ab1beb23963b052b1b4e336658d351adaa
SHA256: d2209c8b385b7f57fe0b9ef59c93d16da8dbd6b38f639e3ce064fb08dd81b1c3
SHA512: 587d7f334bb0f952e05dd0371613b74ea75bb3b2c3634c27eeafcddd995c9d20585fe88e6ccaa98003ac68d2066d0e453b16fef6a9952766dd525eda12549d33
Homepage: https://cran.r-project.org/package=ptwikiwords
Description: CRAN Package 'ptwikiwords' (Words Used in Portuguese Wikipedia)
 Contains a dataset of words used in 15.000 randomly extracted pages from the
 Portuguese Wikipedia (<https://pt.wikipedia.org/>).

Package: r-cran-ptwins
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ptwins_0.1.1-1.ca2004.1_all.deb
Size: 21008
MD5sum: 835c68ba3a6b93843f828ee34e680f4b
SHA1: 57367b2f2df8648dbf6cf0b949ee190ad5c7d765
SHA256: 0c71e4d9f33f5abb85344939cde6f01599ee65c4b3682f1c1771c0710dbd450e
SHA512: 4ace32226e86520f4586c9f091a0bc6c66a383d10a8b1334b205301a447533b23a3f88cb903e01c5fc9592425a80b77407f505f9de4ab105b18727fdc6c618c7
Homepage: https://cran.r-project.org/package=PTwins
Description: CRAN Package 'PTwins' (Percentile Estimation of Fetal Weight for Twins by Chorionicity)
 Package to Percentile estimation of fetal weight for twins by chorionicity
 (dichorionic-diamniotic or monochorionic-diamniotic).

Package: r-cran-ptxqc
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7989
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggdendro, r-cran-gridextra, r-cran-gtable, r-cran-htmltable, r-cran-knitr, r-cran-magrittr, r-cran-plyr, r-cran-r6, r-cran-r6p, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-rlang, r-cran-rmarkdown, r-cran-rmzqc, r-cran-seqinr, r-cran-upsetr, r-cran-xml2, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ptxqc_1.1.2-1.ca2004.1_all.deb
Size: 2842224
MD5sum: 81a937cd7b7b7e2146082399de219f4d
SHA1: 9ec9a007bba46ed27d96b002459c28264d1f3e99
SHA256: a3d6daafa655b2ced538919fad0015f8494b7639fe6a0bbe2f268e4f59ec5ee7
SHA512: 6946ddd3c15f0c447f28b337731bbded629fab558f155157191e4e06bbc33897ed438476b7ad3ca51fcd548f02b0b622123c760834670060019b1e8d10988e36
Homepage: https://cran.r-project.org/package=PTXQC
Description: CRAN Package 'PTXQC' (Quality Report Generation for MaxQuant and mzTab Results)
 Generates Proteomics (PTX) quality control (QC) reports for shotgun LC-MS
 data analyzed with the MaxQuant software suite (from .txt files) or mzTab
 files (ideally from OpenMS 'QualityControl' tool).  Reports are customizable
 (target thresholds, subsetting) and available in HTML or PDF format.
 Published in J. Proteome Res., Proteomics Quality Control: Quality Control
 Software for MaxQuant Results (2015) <doi:10.1021/acs.jproteome.5b00780>.

Package: r-cran-ptycho
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-plyr, r-cran-reshape2
Suggests: r-cran-foreach, r-cran-dorng
Filename: pool/dists/focal/main/r-cran-ptycho_1.1-5-1.ca2004.1_all.deb
Size: 216156
MD5sum: e826fdd5533dc0575c4e7a1a219ea170
SHA1: 91ad2819851062704038fd6440711256c1344e47
SHA256: c44aa6f6e9ba38f609a1a2ad38484308630a4d75e5c983b326ac5c43210012fb
SHA512: b69adb8a49c5958230932e51faa462598ba64ea0a1b0810bf35a8a853b44df4bf2dc73c80acf2dee9a20aeba88e8d10900c88a4e636fbe8673dedc176e1b0c77
Homepage: https://cran.r-project.org/package=ptycho
Description: CRAN Package 'ptycho' (Bayesian Variable Selection with Hierarchical Priors)
 Bayesian variable selection for linear regression models using hierarchical
 priors. There is a prior that combines information across responses and one
 that combines information across covariates, as well as a standard spike and
 slab prior for comparison. An MCMC samples from the marginal posterior
 distribution for the 0-1 variables indicating if each covariate belongs to
 the model for each response.

Package: r-cran-pubbias
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmeta, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-pubbias_1.0-1.ca2004.1_all.deb
Size: 33092
MD5sum: 66ef54d403be2763a5b47d745e25fb08
SHA1: 914587502982cc8cd149e731ff148848178b9c5b
SHA256: 49a5c746d26e90d8da9f11d65cd049842456b045af9c115a645dc95a54ef3321
SHA512: c02250ae8cdf65d418a6f757b40c24543ca1f134b93cfb9a361fec61a136efea83d22758b493f072d80b2fe26cdb6b72cdb33ee3d332efad9aff4210d9c2714d
Homepage: https://cran.r-project.org/package=PubBias
Description: CRAN Package 'PubBias' (Performs simulation study to look for publication bias, using atechnique described by Ioannidis and Trikalinos; Clin Trials.2007;4(3):245-53)
 I adapted a method designed by Ioannidis and Trikalinos, which compares the
 observed number of positive studies in a meta-analysis with the expected
 number, if the summary measure of effect, averaged over the individual
 studies, were assumed true. Excess in the observed number of positive
 studies, compared to the expected, is taken as evidence of publication bias.
 The observed number of positive studies, at a given level for statistical
 significance, is calculated by applying Fisher's exact test to the reported
 2x2 table data of each constituent study, doubling the Fisher one-sided
 P-value to make a two-sided test. The corresponding expected number of
 positive studies was obtained by summing the statistical powers of each
 study. The statistical power depended on a given measure of effect which,
 here, was the pooled odds ratio of the meta-analysis was used. By simulating
 each constituent study, with the given odds ratio, and the same number of
 treated and non-treated as in the real study, the power of the study is
 estimated as the proportion of simulated studies that are positive, again by
 a Fisher's exact test. The simulated number of events in the treated and
 untreated groups was done with binomial sampling. In the untreated group,
 the binomial proportion was the percentage of actual events reported in the
 study and, in the treated group, the binomial sampling proportion was the
 untreated percentage multiplied by the risk ratio which was derived from the
 assumed common odds ratio. The statistical significance for judging a
 positive study may be varied and large differences between expected and
 observed number of positive studies around the level of 0.05 significance
 constitutes evidence of publication bias.  The difference between the
 observed and expected is tested by chi-square. A chi-square test P-value for
 the difference below 0.05 is suggestive of publication bias, however, a less
 stringent level of 0.1 is often used in studies of publication bias as the
 number of published studies is usually small.

Package: r-cran-pubchemr
Architecture: all
Version: 2.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5023
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-stringr, r-cran-tidyr, r-cran-rjsonio, r-cran-httr, r-cran-rcurl, r-cran-magick, r-cran-rsvg, r-cran-png, r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pubchemr_2.1.4-1.ca2004.1_all.deb
Size: 663156
MD5sum: 2185d6e92ec55905ac133632b33497ec
SHA1: dd3ea416d1332a182be7a3247cd90257d49a1e5a
SHA256: 5ba72e9c1b023e8216d86657e880af1df55cdb43b0584de3b9a608827b31f24e
SHA512: 441f9da6bc96661ef8a6e3d1b296e58418ef5832f038e62ed660aa22b8bd2b3c5723d356ce5d945196b4bbd9435b493940fc6199ea454523064d2cc6dad9d7af
Homepage: https://cran.r-project.org/package=PubChemR
Description: CRAN Package 'PubChemR' (Interface to the 'PubChem' Database for Chemical Data Retrieval)
 Provides an interface to the 'PubChem' database via the PUG REST
 <https://pubchem.ncbi.nlm.nih.gov/docs/pug-rest> and PUG View
 <https://pubchem.ncbi.nlm.nih.gov/docs/pug-view> services. This package
 allows users to automatically access chemical and biological data from
 'PubChem', including compounds, substances, assays, and various other data
 types.  Functions are available to retrieve data in different formats,
 perform searches, and access detailed annotations.

Package: r-cran-pubchunks
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3087
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-data.table, r-cran-rcrossref
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pubchunks_0.3.0-1.ca2004.1_all.deb
Size: 464768
MD5sum: a3222175dbc94157be7397fd692dd59e
SHA1: 21a737be6115098256755529e3b956cb5dc62366
SHA256: 3b8bc2b18242669bbfcf3bf1a07e47ee784fd07d7baf494792c0ac385d3f9397
SHA512: ed7fc99d25cf93bd349afc73f7d659f46f306a17abfa4e1ac4e57579fee5fea37a83f88b2f7a6bde7e4184bba95f7baf67a8e42d45497956140122e6033ec320
Homepage: https://cran.r-project.org/package=pubchunks
Description: CRAN Package 'pubchunks' (Fetch Sections of XML Scholarly Articles)
 Get chunks of XML scholarly articles without having to know how to work with
 XML. Custom mappers for each publisher and for each article section pull out
 the information you want. Works with outputs from package 'fulltext', 'xml2'
 package documents, and file paths to XML documents.

Package: r-cran-pubh
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emmeans, r-cran-ggformula, r-cran-car, r-cran-dplyr, r-cran-epi, r-cran-epitools, r-cran-ggplot2, r-cran-jtools, r-cran-lmtest, r-cran-performance, r-cran-sandwich, r-cran-sjlabelled, r-cran-sjmisc, r-cran-survival, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-broom, r-cran-broom.helpers, r-cran-cardx, r-cran-crosstable, r-cran-easystats, r-cran-effectsize, r-cran-ggeffects, r-cran-iswr, r-cran-knitr, r-cran-mass, r-cran-nlme, r-cran-rstatix
Filename: pool/dists/focal/main/r-cran-pubh_2.0.0-1.ca2004.1_all.deb
Size: 428196
MD5sum: ff0b7901ee1d69f83654fea27903aaeb
SHA1: 67f5e940fa951ef9acbcd64949cf8325aaed9ad9
SHA256: 957c4211c5f7d3b2b6f30dec71cb5ea3ddcaf0dfcb9c656689c5a85b5e2e3b9f
SHA512: 2fa075cbce19f30ccfd5617ac24dbd8ace97d115051af754d041fdaf3315fbbebad1979c224499fd156657e0987c9dc85b671605b7bd874d7a303743a9d1b341
Homepage: https://cran.r-project.org/package=pubh
Description: CRAN Package 'pubh' (A Toolbox for Public Health and Epidemiology)
 A toolbox for making R functions and capabilities more accessible to
 students and professionals from Epidemiology and Public Health related
 disciplines. Includes a function to report coefficients and confidence
 intervals from models using robust standard errors (when available),
 functions that expand 'ggplot2' plots and functions relevant for
 introductory papers in Epidemiology or Public Health. Please note that use
 of the provided data sets is for educational purposes only.

Package: r-cran-public.ctn0094data
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1502
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-broom, r-cran-conflicted, r-cran-diagrammer, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-ggthemes, r-cran-gt, r-cran-haven, r-cran-infer, r-cran-janitor, r-cran-knitr, r-cran-kableextra, r-cran-magrittr, r-cran-pkgdown, r-cran-plyr, r-cran-psych, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rum, r-cran-scales, r-cran-stringr, r-cran-table1, r-cran-tibble, r-cran-tidyr, r-cran-tidyverse, r-cran-testthat, r-cran-vcdextra, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-public.ctn0094data_1.0.6-1.ca2004.1_all.deb
Size: 1272508
MD5sum: c380806841ec63fff00f30648a1a249f
SHA1: 34ba00742993c0cc2f14173c96dea670b59462f3
SHA256: 197156893b08df3c56cb27d6ed3f6370a88762048e3468691638b92ef820f9e5
SHA512: 9baf815a181554d89781be975e1960e35e1e09525576e09ecdedb800282e942228bea6c8032a4314e100c07698480a5abe1909a9ea1582a79762ac0a5ee53f4e
Homepage: https://cran.r-project.org/package=public.ctn0094data
Description: CRAN Package 'public.ctn0094data' (De-Identified Data from CTN-0094)
 These are harmonized datasets produced as part of the Clinical Trials
 Network (CTN) protocol number 0094. This is a US National Institute of Drug
 Abuse (NIDA) funded project; to learn more go to
 <https://ctnlibrary.org/protocol/ctn0094/>. These are datasets which have
 the data harmonized from CTN-0027
 (<https://ctnlibrary.org/protocol/ctn0027/>), CTN-0030
 (<https://ctnlibrary.org/protocol/ctn0030/>), and CTN-0051
 (<https://ctnlibrary.org/protocol/ctn0051/>).

Package: r-cran-public.ctn0094extra
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-public.ctn0094data, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-scales, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-public.ctn0094extra_1.0.4-1.ca2004.1_all.deb
Size: 231512
MD5sum: ca08d39504cebab0e39498f2abe01a97
SHA1: 17c93533e7221a9c268aa7be185dd58446a763e2
SHA256: 0381d3f357fa2c2a81603ca41bf102ca063a99aa6c7b72ec745ebc1cfdf9c43f
SHA512: 08bfc82a912f493c395d5ce5952da278938a4ad7cf2b499cf76c3bb72f4c5dde78658d69266c78a5e822e4f1a4eb8f56440184480859a5667de4014fd292de84
Homepage: https://cran.r-project.org/package=public.ctn0094extra
Description: CRAN Package 'public.ctn0094extra' (Helper Files for the CTN-0094 Relational Database)
 Engineered features and "helper" functions ancillary to the
 'public.ctn0094data' package, extending this package for ease of use (see
 <https://CRAN.R-project.org/package=public.ctn0094data>). This
 'public.ctn0094data' package contains harmonized datasets from some of the
 National Institute of Drug Abuse's Clinical Trials Network (NIDA's CTN)
 projects. Specifically, the CTN-0094 project is to harmonize and de-identify
 clinical trials data from the CTN-0027, CTN-0030, and CTN-51 studies for
 opioid use disorder. This current version is built from 'public.ctn0094data'
 v. 1.0.6.

Package: r-cran-publicationbias
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-metabias, r-cran-metafor, r-cran-rdpack, r-cran-rlang, r-cran-robumeta
Suggests: r-cran-purrr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-publicationbias_2.4.0-1.ca2004.1_all.deb
Size: 68112
MD5sum: 260a274453258757f6dfde869a309a04
SHA1: 0fcbf7288322cfcccca79e738825a702306c5a70
SHA256: e56da66d1057af7358a6bc883063151f6a835d3a7ec647a6046a42fa92473187
SHA512: aef9d8e89ac354ce86d99add79cfd7fabbfe3692f30d9af248a2308df0bdbd2ca92c2aa70e8c196d8685b5d876bedf5abbb85afb0ac0120763296f949121de72
Homepage: https://cran.r-project.org/package=PublicationBias
Description: CRAN Package 'PublicationBias' (Sensitivity Analysis for Publication Bias in Meta-Analyses)
 Performs sensitivity analysis for publication bias in meta-analyses (per
 Mathur & VanderWeele, 2020 [<doi:10.31219/osf.io/s9dp6>]). These analyses
 enable statements such as: "For publication bias to shift the observed point
 estimate to the null, 'significant' results would need to be at least
 30-fold more likely to be published than negative or 'nonsignificant'
 results." Comparable statements can be made regarding shifting to a chosen
 non-null value or shifting the confidence interval. Provides a worst-case
 meta-analytic point estimate under maximal publication bias obtained simply
 by conducting a standard meta-analysis of only the negative and
 "nonsignificant" studies.

Package: r-cran-publicworksfinanceit
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-leaflet, r-cran-lubridate, r-cran-rlang, r-cran-rvest, r-cran-scales, r-cran-sf, r-cran-tibble, r-cran-tidyr, r-cran-plotly, r-cran-spdep, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-publicworksfinanceit_0.3.1-1.ca2004.1_all.deb
Size: 188864
MD5sum: acce9e4f9813a7b96ff1ccf58a766be1
SHA1: 6d55889df29f0e294c9dacd85c60f3266dcaeae5
SHA256: 8b18232eab54156aa71721392a9c40b6a4964eee716fb76f467af2e7faef5ddf
SHA512: 7724c99d0f40a8ea8d49f748d303a081f0c591f25daac8bbe7e9e37c04246a80cc432f2e2e78f8ba72cefa6c31b2a10beb359975c8fba0b5dfa1f27588fe65cc
Homepage: https://cran.r-project.org/package=PublicWorksFinanceIT
Description: CRAN Package 'PublicWorksFinanceIT' (Soil Defense Investments in Italy: Data Retrieval, Analysis,Visualization)
 Facilitates the retrieval and analysis of financial data related to public
 works in Italy, focusing on soil defense investments. It extracts data from
 'OpenCoesione', 'OpenBDAP', and the 'ReNDiS' database, eliminating the need
 for direct access to these platforms.  The package boasts a user-friendly
 design, featuring real time updates and a set of functions tailored for data
 retrieval and visualization.  See the webpages for further information
 <http://www.rendis.isprambiente.it/rendisweb/>,
 <https://opencoesione.gov.it/en/>, and
 <https://bdap-opendata.rgs.mef.gov.it/>.

Package: r-cran-publish
Architecture: all
Version: 2023.01.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-prodlim, r-cran-survival, r-cran-data.table, r-cran-lava, r-cran-multcomp
Suggests: r-cran-riskregression, r-cran-testthat, r-cran-smcfcs, r-cran-rms, r-cran-mitools, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-publish_2023.01.17-1.ca2004.1_all.deb
Size: 443648
MD5sum: ce418b57aee378d8a20cc89a182975b5
SHA1: 9d1a36a436d8ba293668b9fc11f34c090341732e
SHA256: 33a3b7441c1e5ac4b791322a1c82d92c15408ecb29544e3216c0fef928e8cb24
SHA512: b402b1ec340aaac7e56d5077023098a7e362ae0e27427e946cf05dd255ad5dd332ec4df1b8584111bb1082ccce64f879dc033dd6550110488fd7c2f83bcdc863
Homepage: https://cran.r-project.org/package=Publish
Description: CRAN Package 'Publish' (Format Output of Various Routines in a Suitable Way for Reportsand Publication)
 A bunch of convenience functions that transform the results of some basic
 statistical analyses into table format nearly ready for publication. This
 includes descriptive tables, tables of logistic regression and Cox
 regression results as well as forest plots.

Package: r-cran-pubmed.miner
Architecture: all
Version: 1.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1524
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-xml, r-cran-boot, r-cran-r2html, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-pubmed.miner_1.0.21-1.ca2004.1_all.deb
Size: 1393372
MD5sum: 007dea5fa1ddde213c769fd3e19b604f
SHA1: dc1b78822d9127d9112282b2c1711e4788f599b2
SHA256: 5dcd458c8074e0648eda6ef4fbe3f329c31ea405eda661853c0f989a703be825
SHA512: 733752b4c2bf5ec66715720e3f3e6623ba20ca9e3e0da961b7287839ffe8f28fcb6105b5a210a7eedd6b35d593632132a5fff0f60fff67cbb9fa2e04c220b450
Homepage: https://cran.r-project.org/package=pubmed.mineR
Description: CRAN Package 'pubmed.mineR' (Text Mining of PubMed Abstracts)
 Text mining of PubMed Abstracts (text and XML) from
 <https://pubmed.ncbi.nlm.nih.gov/>.

Package: r-cran-pubmedmining
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-easypubmed, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pubmedmining_1.0.0-1.ca2004.1_all.deb
Size: 20416
MD5sum: 590f1f23ad422923c19098870e057ac5
SHA1: 58fc185f3b8e4272e1586315695dfb8764a06fb7
SHA256: 315f927d80dfadafdb28f8a30da55553b86d62f4d60b41854851faf390e1a872
SHA512: e050522f4633adfbdf56f72b3ce3cc66aec06802f73c8a4f8e563e5d4f95587ce5eac2a6e7dc37c8b0a002c3031415781c4e2d7475d5a3992edc4032b32fecf3
Homepage: https://cran.r-project.org/package=PubMedMining
Description: CRAN Package 'PubMedMining' (Text-Mining of the 'PubMed' Repository)
 Easy function for text-mining the 'PubMed' repository based on defined sets
 of terms.  The relationship between fix-terms (related to your research
 topic) and pub-terms (terms which pivot around your research focus) is
 calculated using the pointwise mutual information algorithm ('PMI'). Church,
 Kenneth Ward and Hanks, Patrick (1990)
 <https://www.aclweb.org/anthology/J90-1003/> A text file is generated with
 the 'PMI'-scores for each fix-term. Then for each collocation pairs (a
 fix-term + a pub-term), a text file is generated with related article titles
 and publishing years. Additional Author section will follow in the next
 version updates.

Package: r-cran-pubmedr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rentrez, r-cran-xml
Suggests: r-cran-bibliometrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pubmedr_0.0.3-1.ca2004.1_all.deb
Size: 38172
MD5sum: ef0ad42bed2ba86c387d074468cc8a66
SHA1: d6a2a02599deebd63b481fee8356be02a49bc04e
SHA256: 7505d32b9f1799cbd315f04dce710a44ca1f3aac37bb1425b48de0d42944f9bf
SHA512: 4ed3ff686295cea78a6700a875e305d7c03b013aed332c27e48c60eead8de458446c1621fe57e4b3af6dcb808a1cbe2de69247bfba1adf5130cc3941ab3c5c5d
Homepage: https://cran.r-project.org/package=pubmedR
Description: CRAN Package 'pubmedR' (Gathering Metadata About Publications, Grants, Clinical Trialsfrom 'PubMed' Database)
 A set of tools to extract bibliographic content from 'PubMed' database using
 'NCBI' REST API <https://www.ncbi.nlm.nih.gov/home/develop/api/>.

Package: r-cran-pubmedtk
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-xml2, r-cran-jsonlite, r-cran-httr, r-cran-assertthat, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pubmedtk_1.0.4-1.ca2004.1_all.deb
Size: 44228
MD5sum: 3a6ec068976153b581f221d25e03ca8c
SHA1: d2745517e817a0cdd63dffc6d0852522f59a7bb5
SHA256: 600090f5873875ef506438fdbdad18dd707623c784e12ad7f802b93179c25f5c
SHA512: 303c7372e8e632c949e94caef86421e8e7799a81360834f8a4b7dd599aa2825af351dd014501a9d9b5fc159ac6d2588ec73dde85a6bc3a45fb8ab8989779632f
Homepage: https://cran.r-project.org/package=pubmedtk
Description: CRAN Package 'pubmedtk' ('Pubmed' Toolkit)
 Provides various functions for retrieving and interpreting information from
 'Pubmed' via the API, <https://www.ncbi.nlm.nih.gov/home/develop/api/>.

Package: r-cran-pubmedwordcloud
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-stringr, r-cran-rcurl, r-cran-wordcloud, r-cran-tm, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-pubmedwordcloud_0.3.6-1.ca2004.1_all.deb
Size: 35968
MD5sum: 420de795a0422417f4a227b7689799ae
SHA1: fbd6ea44a9a35dbe7fefb6ade783605829eb3fca
SHA256: 2737edaa837992c329adb42d16aa86eaa7940c021a5f8b43902dbbfccdcc98b1
SHA512: 05209ed8fb62a6ba224f72e5122ec8ffa37d2cfdbec95fe2e936dc8a451e51a40db99170e679b7139737afa63b6efb4635bd13119d68ba4b23ccecafc1bad19f
Homepage: https://cran.r-project.org/package=PubMedWordcloud
Description: CRAN Package 'PubMedWordcloud' ('Pubmed' Word Clouds)
 Create a word cloud using the abstract of publications from 'Pubmed'.

Package: r-cran-pubtatordb
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-r.utils, r-cran-rsqlite, r-cran-assertthat, r-cran-dplyr, r-cran-readr
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pubtatordb_0.1.4-1.ca2004.1_all.deb
Size: 44136
MD5sum: a4f91e9a34e59192532fd05db1d8259a
SHA1: a8fcc43ec6af49e62509a787f25e9ebc7dbd93e6
SHA256: 6b24db3c903aa3b2f2f12e48bfc712bd8cd1c07dac725797147dfc9b32e11a8b
SHA512: 04306fa073aa4bdde48e1a4aa1d432992f48fd5b881934de8484f433525d74df73c5b9b0b436b295b01887735b0fe4ffe575a203d75a9b67ff72b8c3f335125a
Homepage: https://cran.r-project.org/package=pubtatordb
Description: CRAN Package 'pubtatordb' (Create and Query a Local 'PubTator' Database)
 'PubTator' <https://www.ncbi.nlm.nih.gov/CBBresearch/Lu/Demo/PubTator/> is a
 National Center for Biotechnology Information (NCBI) tool that enhances the
 annotation of articles on PubMed <https://www.ncbi.nlm.nih.gov/pubmed/>. It
 makes it possible to rapidly identify potential relationships between genes
 or proteins using text mining techniques. In contrast, manually searching
 for and reading the annotated articles would be very time consuming.
 'PubTator' offers both an online interface and a RESTful API, however,
 neither of these approaches are well suited for frequent, high-throughput
 analyses. The package 'pubtatordb' provides a set of functions that make it
 easy for the average R user to download 'PubTator' annotations, create, and
 then query a local version of the database.

Package: r-cran-pudu
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cpp11, r-cran-desc, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pudu_0.1.0-1.ca2004.1_all.deb
Size: 88848
MD5sum: f46d41236504a31dabbdd7922192b4be
SHA1: 8e726915753d8c478b822ad912ff81b5b27e8662
SHA256: 58b669e4dfe88e2649fd65e9ae839d845e6eec6b6a9904c11e1e2c97b1821f18
SHA512: 055a0b1d1ee6975a3135cca16c3edf028048cf4f43cb1adefb7985685617efbf0ebbc77870745c1fdbac2d487bbae587f907b217d4a7e7058c4faa33f7116d8e
Homepage: https://cran.r-project.org/package=pudu
Description: CRAN Package 'pudu' (C++ Tools for Cleaning Strings)
 Provides function declarations and inline function definitions that
 facilitate cleaning strings in C++ code before passing them to R.

Package: r-cran-puff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 555
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-htmlwidgets, r-cran-patchwork, r-cran-plotly, r-cran-scales, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-akima, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-puff_0.1.0-1.ca2004.1_all.deb
Size: 375340
MD5sum: 6ada578d6ba16bb7a1b31f7e20bcca33
SHA1: 51d8067f7288b42365c2af783e2db6f808c22884
SHA256: 7ca67df276285915dba6d502bad34a888b603157ecaa1ff55b0702e36805367f
SHA512: 48130a4532bd6f1a46c86c25f4e176ac93e6cb14f157260da23f1150f8535f7e182a5229128ec6b5eb5ef2824fe70cf0e95792a6adcf616f1746f18793d12642
Homepage: https://cran.r-project.org/package=puff
Description: CRAN Package 'puff' (Simulate and Visualize the Gaussian Puff Forward AtmosphericModel)
 Simulate and run the Gaussian puff forward atmospheric model in sensor
 (specific sensor coordinates) or grid (across the grid of a full oil and gas
 operations site) modes, following Jia, M., Fish, R., Daniels, W., Sprinkle,
 B. and Hammerling, D. (2024) <doi:10.26434/chemrxiv-2023-hc95q-v3>. Numerous
 visualization options, including static and animated, 2D and 3D, and a site
 map generator based on sensor and source coordinates.

Package: r-cran-pugmm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-clusterr, r-cran-doparallel, r-cran-foreach, r-cran-igraph, r-cran-mass, r-cran-matrix, r-cran-mclust, r-cran-mcompanion, r-cran-ppclust
Filename: pool/dists/focal/main/r-cran-pugmm_0.1.1-1.ca2004.1_all.deb
Size: 174672
MD5sum: 8e5613e6c99174b6cc2e0f3c27027620
SHA1: b6a5a8e5279a24da3eb2f7c398f410e470a90885
SHA256: 15fa499b52f83a2628748ddb0c3b3e69dae375db70418a41ba2b70256872b225
SHA512: 8c0712e9b34a68820831011dfc377b79fab809703869255e07f75030e402475a8384161f6bf48a39fc1457d845d37787cc55884139af7c56311373ec3f1dc8f5
Homepage: https://cran.r-project.org/package=PUGMM
Description: CRAN Package 'PUGMM' (Parsimonious Ultrametric Gaussian Mixture Models)
 Parsimonious Ultrametric Gaussian Mixture Models via grouped coordinate
 ascent (equivalent to EM) algorithm characterized by the inspection of
 hierarchical relationships among variables via parsimonious extended
 ultrametric covariance structures. The methodologies are described in
 Cavicchia, Vichi, Zaccaria (2024) <doi:10.1007/s11222-024-10405-9>, (2022)
 <doi:10.1007/s11634-021-00488-x> and (2020)
 <doi:10.1007/s11634-020-00400-z>.

Package: r-cran-pulmodatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 879
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pulmodatasets_0.1.0-1.ca2004.1_all.deb
Size: 477304
MD5sum: a821d515c2c4dab7409df8078c79e46f
SHA1: 7c6ad0d98d006b5ff89d3c03bb6ffc700960c6a9
SHA256: f1d73d5e444f23173e28b31a2c11a7b61a539db2166264c0f2469fd16862f498
SHA512: 93be851d5a2194e68cc9c626d04e78646ebf818dfc4d1bd879fdfe8776f267ba03dc116dfc643cdd38da8d690693fdc9c06d93d6619948c4eeb9e8e97e6e0f5e
Homepage: https://cran.r-project.org/package=PulmoDataSets
Description: CRAN Package 'PulmoDataSets' (A Curated Collection of Pulmonary and Respiratory DiseaseDatasets)
 Provides a comprehensive and curated collection of datasets related to the
 lungs, respiratory system, and associated diseases.  This package includes
 epidemiological, clinical, experimental, and simulated datasets on
 conditions such as lung cancer, asthma, Chronic Obstructive Pulmonary
 Disease (COPD), tuberculosis, whooping cough, pneumonia, influenza, and
 other respiratory illnesses.  It is designed to support data exploration,
 statistical modeling, teaching, and research in pulmonary medicine, public
 health, environmental epidemiology, and respiratory disease surveillance.

Package: r-cran-puls
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-dplyr, r-cran-fda, r-cran-fda.usc, r-cran-ggplot2, r-cran-monoclust, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-puls_0.1.3-1.ca2004.1_all.deb
Size: 294280
MD5sum: 8c0cab3a5f670e3c68070669c1047bc4
SHA1: f5e34a2b17f35ef577657f214685bdd96fa0cd05
SHA256: 4847f3045bc6428963157c8e5b7bd6a674ff35fc7582b3103986eef8bfc3adfa
SHA512: 7210ea1a43c732ab4cf67ba675d2a1de0ecbed1fc754b5ffb8d9d1ab92c79ab400180e0c4e6e791250270e46d03c6bb55f49003e4dd1c632ea8c71b5e38356d6
Homepage: https://cran.r-project.org/package=puls
Description: CRAN Package 'puls' (Partitioning Using Local Subregions)
 A method of clustering functional data using subregion information of the
 curves. It is intended to supplement the 'fda' and 'fda.usc' packages in
 functional data object clustering. It also facilitates the printing and
 plotting of the results in a tree format and limits the partitioning
 candidates into a specific set of subregions.

Package: r-cran-pulsar
Architecture: all
Version: 0.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-batchtools, r-cran-fs, r-cran-checkmate, r-cran-orca, r-cran-huge, r-cran-mass, r-cran-clime, r-cran-glmnet, r-cran-network, r-cran-cluster, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pulsar_0.3.11-1.ca2004.1_all.deb
Size: 406364
MD5sum: 1e2a9cb083459e74c1882ce6092627eb
SHA1: eaa1a6ab4ddd19780a24d7543eeaca2d50e35ab2
SHA256: dee148175eb503ca4f74d3dbbbaddd7b78f9a6f7650c96ca96781e90c438947f
SHA512: 1b6057421bce65a8c16bbc949bc00072b1c446c4248ce875153c9105fb5e1a342d7ffca7d31a13ea0825c72b76871ab175b3e55953b33ef93a0da1d640dec0de
Homepage: https://cran.r-project.org/package=pulsar
Description: CRAN Package 'pulsar' (Parallel Utilities for Lambda Selection along a RegularizationPath)
 Model selection for penalized graphical models using the Stability Approach
 to Regularization Selection ('StARS'), with options for speed-ups including
 Bounded StARS (B-StARS), batch computing, and other stability metrics (e.g.,
 graphlet stability G-StARS). Christian L. Müller, Richard Bonneau, Zachary
 Kurtz (2016) <arXiv:1605.07072>.

Package: r-cran-pulsetd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2674
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-annotationdbi, r-bioc-summarizedexperiment, r-bioc-rsamtools, r-bioc-biobase, r-bioc-s4vectors, r-bioc-genomicfeatures, r-cran-ggplot2, r-bioc-genomicalignments
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene
Filename: pool/dists/focal/main/r-cran-pulsetd_0.1.0-1.ca2004.1_all.deb
Size: 2630676
MD5sum: eb565e9d6fa947fe2d224a35b513f9d0
SHA1: 7a92b7e51d3f45b7a01ef8610f3a359523a94927
SHA256: 63a4e209e92741a2e8c241272c4caf33f196acb8298eeea1a9704814a26814fe
SHA512: 42635d8bb9b51fbd26b58fff2abd6e0ba5c439c75738cfa26ec1f46cd43b2a64de43cca9dc6c8a98f7d2759e6540b129ef699100c0b95c9918d753603bd4bd60
Homepage: https://cran.r-project.org/package=pulseTD
Description: CRAN Package 'pulseTD' (Identification of Transcriptional Dynamics using Pulse Modelsvia 4su-Seq Data and RNA-Seq Data)
 A tool for analyzing the transcription, processing and degradation rates of
 genes by 4sU-seq (the Metabolic Label 4-thiouridine) data and RNA-seq (RNA
 sequencing) data. It can not only recognize the transcriptional dynamic
 rates at the measurement time points, but also obtain continuous changes in
 transcriptional dynamics. More importantly, it is able to predict the trend
 of mRNA (Mature RNA) transcription and expression changes in the future.

Package: r-cran-pumilior
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-pumilior_1.3.1-1.ca2004.1_all.deb
Size: 35112
MD5sum: 72f02b35929572d882a76fbd9102c2f8
SHA1: ec20d5d411a3cdd78a941b9618517ce33f26680a
SHA256: 3cbf5f2aa006649f0047edd32e065efebda93e223b2039ebd3aa132676333c80
SHA512: ac2b704a97e8e082431e245a30e5b550bf636d2b7595c0d8a11ae8c0349c147125d1c3a8be7c023a34f78b9da516ef83a32fd6fd5a66da1281aa569523e06812
Homepage: https://cran.r-project.org/package=pumilioR
Description: CRAN Package 'pumilioR' (Pumilio in R)
 R package to query and get data out of a Pumilio sound archive system
 (http://ljvillanueva.github.io/pumilio/).

Package: r-cran-pump
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggthemes, r-cran-ggplot2, r-cran-ggpubr, r-cran-glue, r-cran-future, r-cran-lme4, r-cran-magrittr, r-cran-mvtnorm, r-cran-purrr, r-cran-randomizr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-furrr, r-cran-here, r-cran-kableextra, r-cran-knitr, r-cran-powerupr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pump_1.0.4-1.ca2004.1_all.deb
Size: 738744
MD5sum: 544289e58a2c869d5e6b271441634539
SHA1: 572587dc99e29b65289e02143b84c7c096e9ab76
SHA256: c7891f07e2444947c3eea6f81259195c77a530ae3d3f6119ec9d4219ab171a03
SHA512: 8bbe93010cbc9d0d3ed84c5777e6f3816ade30488c3ee118e172dc5c342feff02524f9ece2a8ea4762b51a492988e30f912871ce6edef4f5ce900e002601a19d
Homepage: https://cran.r-project.org/package=PUMP
Description: CRAN Package 'PUMP' (Power Under Multiplicity Project)
 Estimates power, minimum detectable effect size (MDES) and sample size
 requirements. The context is multilevel randomized experiments with multiple
 outcomes. The estimation takes into account the use of multiple testing
 procedures. Development of this package was supported by a grant from the
 Institute of Education Sciences (R305D170030). For a full package
 description, including a detailed technical appendix, see
 <doi:10.18637/jss.v108.i06>.

Package: r-cran-pupaim
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 475
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-metrics, r-cran-ggplot2, r-cran-nls2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pupaim_0.3.1-1.ca2004.1_all.deb
Size: 363776
MD5sum: e972e1bba85386e9f11f69957a95b923
SHA1: 6fbd912354fb469907f010841ee93b60e9c3cb2e
SHA256: 2ae4c5276ea31a34ce7bc9afdcc56bc5759025c7fdf8dd6f990bd512e0715f06
SHA512: 0966e0751737e448dcdb24eb0aff32b52d58547fd07e9f152368011c63adfb3eb2499bc7e7ee00fc243ed52a0e3cd2fcc8154a13edf27ee7a26012491a0249d3
Homepage: https://cran.r-project.org/package=PUPAIM
Description: CRAN Package 'PUPAIM' (A Collection of Physical and Chemical Adsorption Isotherm Models)
 The PUPAIM R package can generally fit any adsorption experimental data to
 any of the 55 available adsorption isotherm models - 32 nonlinear models and
 23 linear models. This package provides parameter estimation, model accuracy
 analysis, model error analysis, and adsorption plot created using the
 package 'ggplot2'. This package will help the users for a much easier way of
 adsorption model data fitting.

Package: r-cran-pupak
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-metrics, r-cran-ggplot2, r-cran-nls2, r-cran-segmented
Filename: pool/dists/focal/main/r-cran-pupak_0.1.1-1.ca2004.1_all.deb
Size: 366288
MD5sum: 7d440474dc73a0d32891272ae28cc14e
SHA1: f64cbc9695de1aab5e5b23753a03599fd6ddbc68
SHA256: 03e688b0c72366dbe00efb268742f20e79839aa937a03126c4d05174bb818004
SHA512: 2b2870ab18c555ebe07cb63f44f5fb965ce4cbbf5241f24aa2d308b2f2537d1a008758626eb317520a2632064f22155fbc1e49ca786191be5b4688e4a50b041d
Homepage: https://cran.r-project.org/package=PUPAK
Description: CRAN Package 'PUPAK' (Parameter Estimation, and Plot Visualization of AdsorptionKinetic Models)
 Contains model fitting functions for linear and non-linear adsorption
 kinetic and diffusion models. Adsorption kinetics is used for characterizing
 the rate of solute adsorption and the time necessary for the adsorption
 process. Adsorption kinetics offers vital information on adsorption rate,
 adsorbent performance in response time, and mass transfer processes. In
 addition, diffusion models are included in the package as solute diffusion
 affects the adsorption kinetic experiments. This package consists of 20
 adsorption and diffusion models, including Pseudo First Order (PFO), Pseudo
 Second Order (PSO), Elovich, and Weber-Morris model (commonly called the
 intraparticle model) stated by Plazinski et al. (2009)
 <doi:10.1016/j.cis.2009.07.009>. This package also contains a summary
 function where the statistical errors of each model are ranked for a more
 straightforward determination of the best fit model.

Package: r-cran-pupillometryr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-fda, r-cran-itsadug, r-cran-mgcv, r-cran-signal, r-cran-stringr, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pupillometryr_0.0.5-1.ca2004.1_all.deb
Size: 966068
MD5sum: be2c2e172705fa55a6343dfaa1b4b269
SHA1: a1947407b2be595a72a66d622e3214868a35cba9
SHA256: b2ea665637b7980372e4b2d2c23a74f7e7306167172c694578f871522c79c368
SHA512: cf1077e37052e455f293133608a996a242c46f9388114e6dfaadad13ab05f42183169aea999a3dd499a2ded49bb7d7d6961570d4a2bc9a77168ce23d783147cb
Homepage: https://cran.r-project.org/package=PupillometryR
Description: CRAN Package 'PupillometryR' (A Unified Pipeline for Pupillometry Data)
 Provides a unified pipeline to clean, prepare, plot, and run basic analyses
 on pupillometry experiments.

Package: r-cran-pupilpre
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-vwpre, r-cran-ggplot2, r-cran-mgcv, r-cran-shiny, r-cran-robustbase, r-cran-zoo, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-pupilpre_0.6.2-1.ca2004.1_all.deb
Size: 2118448
MD5sum: 1ce024860dcecdf59e62b944933beda8
SHA1: 221afc50ed29da61ff8880464064ebd0b394c87a
SHA256: b1577b121a44743b9c8b15097f1ea13205947c63307b30c0601455558aa728a0
SHA512: 21a9a989a9e9aba34967bd9f0fd4bda65a482c2b3bdbf6a884aa84e1da3c2299e631a9f6dc622a3e75617428e0b73a8c0cd59a1a2bc1d330aef48e95103d42a0
Homepage: https://cran.r-project.org/package=PupilPre
Description: CRAN Package 'PupilPre' (Preprocessing Pupil Size Data)
 Pupillometric data collected using SR Research Eyelink eye trackers requires
 significant preprocessing. This package contains functions for preparing
 pupil dilation data for visualization and statistical analysis.
 Specifically, it provides a pipeline of functions which aid in data
 validation, the removal of blinks/artifacts, downsampling, and baselining,
 among others.  Additionally, plotting functions for creating grand average
 and conditional average plots are provided. See the vignette for samples of
 the functionality.  The package is designed for handling data collected with
 SR Research Eyelink eye trackers using Sample Reports created in SR Research
 Data Viewer.

Package: r-cran-pupmcr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 914
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colordistance, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pupmcr_0.2.0-1.ca2004.1_all.deb
Size: 875756
MD5sum: 51975c23b33b93d6d21e90482d46cb14
SHA1: e45e32212b5268949324771f268ca30b92fb5670
SHA256: 45a11d1daa24d3ac774283349dcf8b3497ee3dda8cfaef3e645c82fc0028de57
SHA512: b120281dc49ce1e6ebbc16e78c426ba139d5c33e51de3f9e9e4063cf48e757d955157ff99306cb8fd920038ea8dfa8b9ee4b67ab5942d62929dfbc3d061baa6f
Homepage: https://cran.r-project.org/package=PUPMCR
Description: CRAN Package 'PUPMCR' (Image-Based Identification of Color Based on Rayner (1970)Terminology and Known Fungal Pigments)
 Image-based color matching using the "Mycological Colour Chart" by Rayner
 (1970, ISBN:9780851980263) and its associated fungal pigments. This package
 will assist mycologists in identifying color during morphological analysis.

Package: r-cran-pupmsi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-metrics, r-cran-minpack.lm, r-cran-nls2
Filename: pool/dists/focal/main/r-cran-pupmsi_0.1.0-1.ca2004.1_all.deb
Size: 194252
MD5sum: 06d4d1cde00ef26eeea0a80388552bb6
SHA1: ca6431ce71d701add26511c4e9beda8ce3a6330f
SHA256: 3b756c6ec5c746e49c972db0eb5670493206b8a98b46ccd1210b676762b9c0e1
SHA512: 01dd2f0b60340c74d206eabc60f7cb39977ea62c888cbb7ba862ef9ea6f25a2a8d114b6d9018aadf4724dc70ed4d7b6baafb258b95cdf86d4e43fb245e39ce93
Homepage: https://cran.r-project.org/package=PUPMSI
Description: CRAN Package 'PUPMSI' (Moisture Sorption Isotherm Modeling Program)
 Contains sixteen moisture sorption isotherm models, which evaluate the
 fitness of adsorption and desorption curves for further understanding of the
 relationship between moisture content and water activity. Fitness evaluation
 is conducted through parameter estimation and error analysis. Moreover,
 graphical representation, hysteresis area estimation, and isotherm
 classification through the equation of Blahovec & Yanniotis (2009)
 <doi:10.1016/j.jfoodeng.2008.08.007> which is based on the classification
 system introduced by Brunauer et. al. (1940) <doi:10.1021/ja01864a025> are
 also included for the visualization of models and hysteresis.

Package: r-cran-purbayes
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-purbayes_1.3-1.ca2004.1_all.deb
Size: 31692
MD5sum: 13ccb81440c91e03dc2ea27dccfe2480
SHA1: 60996caced43fe4940159948427b8ae9bbe18d02
SHA256: 91ac78d5cd7b8a8d41f964e6b2fd9237b3f57468ffcdb11dfee6d5f7965a3b08
SHA512: 49c6b650d06f1bcc7570f5dffbe94f93aa475a6ba1a64010533e0ed90e9e7de96e05add843d85b0a636126aa55bab88e2cf834c255fe943b4fa0454bf8094aaa
Homepage: https://cran.r-project.org/package=PurBayes
Description: CRAN Package 'PurBayes' (Bayesian Estimation of Tumor Purity and Clonality)
 PurBayes is an MCMC-based algorithm that uses next-generation sequencing
 data to estimate tumor purity and clonality for paired tumor-normal data.

Package: r-cran-puremoe
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rentrez, r-cran-textshape, r-cran-xml2, r-cran-data.table, r-cran-httr, r-cran-pbapply, r-cran-jsonlite, r-cran-rappdirs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-puremoe_1.0.2-1.ca2004.1_all.deb
Size: 59680
MD5sum: 770a217f80c3f77e350497d7eaa45682
SHA1: a6d7fe9e5d3835858f93829095bc038f46f342d0
SHA256: 89d2ce5547cc54019eca40b6e5ba0d4deedb2501e838cc0cd541457ec391146f
SHA512: 6583d61b57c8afba8f7933e96c29ff917462740e49ad212241c17a5cba22f4cabde30692ad9ff2848193f5329012bb6329a9974d98d08268c6eda872c93e9ae7
Homepage: https://cran.r-project.org/package=puremoe
Description: CRAN Package 'puremoe' (Pubmed Unified REtrieval for Multi-Output Exploration)
 Access a variety of 'PubMed' data through a single, user-friendly interface,
 including abstracts <https://pubmed.ncbi.nlm.nih.gov/>, bibliometrics from
 'iCite' <https://icite.od.nih.gov/>, pubtations from 'PubTator3'
 <https://www.ncbi.nlm.nih.gov/research/pubtator3/>, and full-text records
 from 'PMC' <https://www.ncbi.nlm.nih.gov/pmc/>.

Package: r-cran-purge
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-survival, r-cran-lme4, r-cran-ranger, r-cran-randomforest, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-purge_0.2.1-1.ca2004.1_all.deb
Size: 22836
MD5sum: baa9c450db260567f230341cfb161147
SHA1: 5ec629cfb08a9336907bcac98b2942f8997d3ca5
SHA256: 1312a5f1a5d9ffdeda9740f50f9b3e990e0f0fce51023c1adc6dd52893776711
SHA512: 76a567a19c31e19a0315e1f7e7fb123467b06485353d1a6499cabd2d6f6f255b0ab8f511a1fa5c18f4d2687c402db58ab1ee8033db5830d895121cf91de252f1
Homepage: https://cran.r-project.org/package=purge
Description: CRAN Package 'purge' (Purge Training Data from Models)
 Enables the removal of training data from fitted R models while retaining
 predict functionality. The purged models are more portable as their memory
 footprints do not scale with the training sample size.

Package: r-cran-purging
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-purging_1.0.0-1.ca2004.1_all.deb
Size: 19792
MD5sum: 6d4e62e2d900aff91337934e6293af6e
SHA1: 08651375c84d2056c6a38f47893ec58398d15657
SHA256: f34cad27fa6dbccc4b8b809b831463ab0da5fa429889f34d0807673a50b9bbfb
SHA512: c94e35a81a85f00093937e9a959d1933864fbc3dd306002a374d3c2cd5cd8dceef699a6a6cdbf3615ee439bd4efde528ccb07bf8cd01c244c1bd2f8b7511880c
Homepage: https://cran.r-project.org/package=purging
Description: CRAN Package 'purging' (Simple Method for Purging Mediation Effects among IndependentVariables)
 Simple method of purging independent variables of mediating effects. First,
 regress the direct variable on the indirect variable. Then, used the stored
 residuals as the new purged (direct) variable in the updated specification.
 This purging process allows for use of a new direct variable uncorrelated
 with the indirect variable. Please cite the method and/or package using
 Waggoner, Philip D. (2018) <doi:10.1177/1532673X18759644>.

Package: r-cran-purpleair
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-cli, r-cran-dplyr, r-cran-glue
Suggests: r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-purpleair_1.0.1-1.ca2004.1_all.deb
Size: 73688
MD5sum: 75c211c309ad0a6194829c74683a7c9a
SHA1: 381962cf3ce69b9dfdbc19ff4f62dd6251e4bf61
SHA256: 0ac5f520321fc5c15b11e8df3252e2752f4059b08b890dad01e4d54c2eebdaba
SHA512: 20bbbdfff687b26f417eba6de6a04057c22cadc0996d0ba8dfc80155de2c93766ac80ea1ce922cb289b9f0b85665c6e63786216f47a25372687e3ef55928ec91
Homepage: https://cran.r-project.org/package=PurpleAir
Description: CRAN Package 'PurpleAir' (Query the 'PurpleAir' Application Programming Interface)
 Send requests to the 'PurpleAir' Application Programming Interface (API;
 <https://community.purpleair.com/c/data/api/18>). Check a 'PurpleAir' API
 key and get information about the related organization. Download real-time
 data from a single 'PurpleAir' sensor or many sensors by sensor identifier,
 geographical bounding box, or time since modified. Download historical data
 from a single sensor.

Package: r-cran-purpleairapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-purpleairapi_0.1.0-1.ca2004.1_all.deb
Size: 30388
MD5sum: b4394664adf93ef08129a62bde1cd245
SHA1: c70ad9c9cba8eddfd3a0523f926a643cd414cbee
SHA256: 84ca969d610a48246e4e0b9f37e6c915d50b0162af305295a17965608b494dbc
SHA512: 7a655d1d1474fa9684ccfb0b0b17e515e8a86a656b6b193388517941b58db6e0aefb91f52c44ce56c042bb0baa6ea8d354e7dc0edc0d230edc44c611699e7a8c
Homepage: https://cran.r-project.org/package=PurpleAirAPI
Description: CRAN Package 'PurpleAirAPI' (Historical Data Retrieval from 'PurpleAir' Sensors via API)
 Provides tools for retrieving and analyzing air quality data from
 'PurpleAir' sensors through their API. Functions enable downloading
 historical measurements, accessing sensor metadata, and managing API request
 limitations through chunked data retrieval. For more information about the
 'PurpleAir' API, see <https://api.purpleair.com/>.

Package: r-cran-pushbar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-pushbar_0.1.0-1.ca2004.1_all.deb
Size: 78688
MD5sum: ed8b9a8275dab29ad2083b2e6b3da33a
SHA1: b008556de803faee6c470852ccb928296d530836
SHA256: 94852e6a5699507a4660e9f64030ab7e6c580eba4ef5e955b8511000f317e38c
SHA512: 44d8d54014f0fb4fcab3e0e739e2b2ee99dbd95004941308a1c27abaa39ae2e19026e1701c8948ac20e1c1f345ae244837993e93e1ffae5edd5838daf3ae2cc0
Homepage: https://cran.r-project.org/package=pushbar
Description: CRAN Package 'pushbar' (Create Sliders for 'Shiny')
 Create sliders from left, right, top and bottom which may include any html
 or 'Shiny' input or output.

Package: r-cran-pushoverr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1636
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-glue, r-cran-httr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pushoverr_1.1.0-1.ca2004.1_all.deb
Size: 1227608
MD5sum: 9c57b293df4473b187745098cb7824ec
SHA1: f9bb44709ad7cdbff1334d9bdc05b52f0d4b8917
SHA256: 543753e65c8c7cc992be75a1b4c559d754dfda870feba75b6717d52ebeaa67d7
SHA512: e335832a6a5eef3d894eb585cb037e43c90d300a5c43c1b3e3d237a9c00aee55f61f26f746d518b2495a21b4e2f7b79ab0672af74ecc9555e8306b461226e1e7
Homepage: https://cran.r-project.org/package=pushoverr
Description: CRAN Package 'pushoverr' (Send Push Notifications using 'Pushover')
 Send push notifications to mobile devices or the desktop using 'Pushover'
 <https://pushover.net>. These notifications can display things such as
 results, job status, plots, or any other text or numeric data.

Package: r-cran-putior
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-clipr, r-cran-uuid, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-putior_0.1.0-1.ca2004.1_all.deb
Size: 172384
MD5sum: cda75e5b44568cfca05f1eb5f1ab16df
SHA1: c8f7b44ffda934d4784a42d639bbecbbb8418592
SHA256: d49869ab170036992598fa66bc8a27378147c3699d10f1c255135805aeaccf23
SHA512: 6a544032b870274faf22bf0457584ea6d0ef238b983bb1a94d30481e7c9766a4e1fa1bf29f229866904397029a57ba854db19ad4ed74833fd9e0c02c4b6e4ca9
Homepage: https://cran.r-project.org/package=putior
Description: CRAN Package 'putior' ("Register In- and Outputs for Workflow Visualization")
 Provides tools for extracting and processing structured annotations from 'R'
 and 'Python' source files to facilitate workflow visualization. The package
 scans source files for special 'PUT' annotations that define nodes,
 connections, and metadata within a data processing workflow. These
 annotations can then be used to generate visual representations of data
 flows and processing steps across polyglot software environments. Builds on
 concepts from literate programming Knuth (1984) <doi:10.1093/comjnl/27.2.97>
 and utilizes directed acyclic graph (DAG) theory for workflow representation
 Foraita, Spallek, and Zeeb (2014) <doi:10.1007/978-0-387-09834-0_65>.
 Diagram generation powered by 'Mermaid' Sveidqvist (2014)
 <https://mermaid.js.org/>.

Package: r-cran-puzzle
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-readxl, r-cran-reshape, r-cran-reshape2, r-cran-sqldf, r-cran-kableextra, r-cran-plyr, r-cran-dplyr, r-cran-tidyverse, r-cran-readr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-puzzle_0.0.1-1.ca2004.1_all.deb
Size: 105932
MD5sum: 711be5823c8dca53ef9d2ca51cca1b14
SHA1: fd45ffeb9192f5baafc6de9445e411314340d539
SHA256: cb8cf747de1e07a059bd0ec83eeb150717378dc32aea7da958c1320b16cf359a
SHA512: c6a1b695c6cfa151829780518857b93b6bb295e973d088fa570bcb34733ec95b9330fe12a1b371991be515b3166d32dd43204d87390c57ec892a0dd8e6b7f3cb
Homepage: https://cran.r-project.org/package=puzzle
Description: CRAN Package 'puzzle' (Assembling Data Sets for Non-Linear Mixed Effects Modeling)
 To Simplify the time consuming and error prone task of assembling complex
 data sets for non-linear mixed effects modeling. Users are able to select
 from different absorption processes such as zero and first order, or a
 combination of both. Furthermore, data sets containing data from several
 entities, responses, and covariates can be simultaneously assembled.

Package: r-cran-pvaclone
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dcmle, r-cran-dclone, r-cran-coda
Filename: pool/dists/focal/main/r-cran-pvaclone_0.1-7-1.ca2004.1_all.deb
Size: 159920
MD5sum: be998c31a9cc284d6ba22ac16d727400
SHA1: 122ac4031a6baffc43fc3ecabd07d3e9ac1f1cf0
SHA256: 32471a8b9c3a4eb92f14435cf765a955a8ee972efef6ce0c77ed1a36db617247
SHA512: 1606a63495f84f153646ef1fa471df1a3d5c093ca2eef130a154c2f1e655eee39bc380adc8c2a5e925cfd3c9c3c31b1093addbc3992c9241384c87634eb0c66f
Homepage: https://cran.r-project.org/package=PVAClone
Description: CRAN Package 'PVAClone' (Population Viability Analysis with Data Cloning)
 Likelihood based population viability analysis in the presence of
 observation error and missing data.  The package can be used to fit,
 compare, predict, and forecast various growth model types using data
 cloning.

Package: r-cran-pvaluefunctions
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-zipfr, r-cran-pracma, r-cran-gsl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-pvaluefunctions_1.6.2-1.ca2004.1_all.deb
Size: 1314740
MD5sum: 52be42074ec049a592cbcfa9fa286f0d
SHA1: 7679214ad58445c6341e3aa9ac1838307f2ecab7
SHA256: c939968ac1c940e373ac3140b7c1b3e94d9e3f834e3b1dd69da41aff140921cf
SHA512: 3affd5224b9fdfff3d2597eb8199e67fcfecd56e3c50f65d9ca9ee0ed12786cb5724352d41d3ad727b121e908ef59b0d37974c55578aff0410e3012bf6579e52
Homepage: https://cran.r-project.org/package=pvaluefunctions
Description: CRAN Package 'pvaluefunctions' (Creates and Plots P-Value Functions, S-Value Functions,Confidence Distributions and Confidence Densities)
 Contains functions to compute and plot confidence distributions, confidence
 densities, p-value functions and s-value (surprisal) functions for several
 commonly used estimates. Instead of just calculating one p-value and one
 confidence interval, p-value functions display p-values and confidence
 intervals for many levels thereby allowing to gauge the compatibility of
 several parameter values with the data. These methods are discussed by
 Infanger D, Schmidt-Trucksäss A. (2019) <doi:10.1002/sim.8293>; Poole C.
 (1987) <doi:10.2105/AJPH.77.2.195>; Schweder T, Hjort NL. (2002)
 <doi:10.1111/1467-9469.00285>; Bender R, Berg G, Zeeb H. (2005)
 <doi:10.1002/bimj.200410104> ; Singh K, Xie M, Strawderman WE. (2007)
 <doi:10.1214/074921707000000102>; Rothman KJ, Greenland S, Lash TL. (2008,
 ISBN:9781451190052); Amrhein V, Trafimow D, Greenland S. (2019)
 <doi:10.1080/00031305.2018.1543137>; Greenland S. (2019)
 <doi:10.1080/00031305.2018.1529625> and Rafi Z, Greenland S. (2020)
 <doi:10.1186/s12874-020-01105-9>.

Package: r-cran-pvclass
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-pvclass_1.4.1-1.ca2004.1_all.deb
Size: 347808
MD5sum: 07055ebcf37576b7029d1d1e42a6aa1e
SHA1: 73b4f01d6e8bae055264718a31306bbd88837b2d
SHA256: ef4dcab25fcdabb5ee64ed01fdec6844cab5d92844459033bb35e6924e26274c
SHA512: 7097a79e9073692073a58b00eeab635d78826ce68fad7093d92981f2066cc18ba78f1346cb1bf6a03ed199e01f4f036d34158963ae920fb7c902d11fe7b8ee1e
Homepage: https://cran.r-project.org/package=pvclass
Description: CRAN Package 'pvclass' (P-Values for Classification)
 Computes nonparametric p-values for the potential class memberships of new
 observations as well as cross-validated p-values for the training data. The
 p-values are based on permutation tests applied to an estimated Bayesian
 likelihood ratio, using a plug-in statistic for the Gaussian model, 'k
 nearest neighbors', 'weighted nearest neighbors' or 'penalized logistic
 regression'.  Additionally, it provides graphical displays and quantitative
 analyses of the p-values.

Package: r-cran-pvclust
Architecture: all
Version: 2.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-pvclust_2.2-0-1.ca2004.1_all.deb
Size: 183968
MD5sum: 47a200032de7607c3a47835ac57e7d29
SHA1: fd0e5a2dca63bba961712912d5552e83ad7d7704
SHA256: 049795d5cd55f4f52349f39cfd5a621383286ef06b4ec2311d5d8aff0c640121
SHA512: 45d165d2eba319a0e58200baa9eaeb5e9daa967db6b64b2d177d4f95f23810acd5f0066e102662c0eeeae878a633dd03da60e618abfa6e172392c958ab50d66c
Homepage: https://cran.r-project.org/package=pvclust
Description: CRAN Package 'pvclust' (Hierarchical Clustering with P-Values via Multiscale BootstrapResampling)
 An implementation of multiscale bootstrap resampling for assessing the
 uncertainty in hierarchical cluster analysis.  It provides SI (selective
 inference) p-value, AU (approximately unbiased) p-value and BP (bootstrap
 probability) value for each cluster in a dendrogram.

Package: r-cran-pvcurveanalysis
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pvcurveanalysis_1.0.0-1.ca2004.1_all.deb
Size: 97284
MD5sum: 1f9241c81e7822fb53db318a777c9a15
SHA1: a68dc17dbbdc12674ad8216de989534349b20d97
SHA256: e298ae76c263a114d5fd4cb8ddee9de48b17e5fa28370de1ba9283b12eec4224
SHA512: b4181bd047a87236c1a89233112389e490f1333ab4865c7b8b2b27871611afb6eb46794e5f60cbd66f7c09ef92b53945a53f15c95e33f1a3e4a919558c781f3f
Homepage: https://cran.r-project.org/package=pvcurveanalysis
Description: CRAN Package 'pvcurveanalysis' (Analysis of Pressure Volume Curves)
 Enables the manufacturing, analysis and display of pressure volume curves.
 From the progression of the curves, turgor loss point, osmotic potential and
 apoplastic fraction can be derived. Methods adapted from Bartlett, Scoffoni
 and Sack (2012) <doi:10.1111/j.1461-0248.2012.01751.x>.

Package: r-cran-pvda
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-dtplyr, r-cran-glue, r-cran-purrr, r-cran-rdpack, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-pvda_0.0.4-1.ca2004.1_all.deb
Size: 339264
MD5sum: 11582fda509d033be59691a38b5ba61e
SHA1: 5be6817adc38af6be459972405de8e28e2580270
SHA256: 8d990c02b71567f52c165d40505d0723bc3a21e8ad4623ba16b2f98fa2ac7ad0
SHA512: 56c1d44c884109141a96aba8ba81a18ed9d2131a3a5bacd5550c81ce9e2b6558e7113eca7abb8422d4733ae61fa6c2de587a07b502ebdfb7a406452e0abeb2c4
Homepage: https://cran.r-project.org/package=pvda
Description: CRAN Package 'pvda' (Disproportionality Functions for Pharmacovigilance)
 Tools for performing disproportionality analysis using the information
 component, proportional reporting rate and the reporting odds ratio. The
 anticipated use is passing data to the da() function, which executes the
 disproportionality analysis. See Norén et al (2011)
 <doi:10.1177/0962280211403604> and Montastruc et al (2011)
 <doi:10.1111/j.1365-2125.2011.04037.x> for further details.

Package: r-cran-pvldcurve
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pvldcurve_1.2.6-1.ca2004.1_all.deb
Size: 187212
MD5sum: 654b78f21fd63526f51b51a23725558a
SHA1: 01cd6fc88d688c19cd8021664f182ca39322c021
SHA256: cf437fd86a4b96bc8f756545717ffd643d85e48848de2ffaa875264fd5e8c55f
SHA512: 66b93555ccad51eb379df74e84f5442df851b5dee1eaafe7ef7adea2bafb7236e3329aa7634501e2ce2c8229e56d93e72341bf66c030020a4eaa801af5076237
Homepage: https://cran.r-project.org/package=pvldcurve
Description: CRAN Package 'pvldcurve' (Simplifies the Analysis of Pressure Volume and Leaf DryingCurves)
 Simplifies the manufacturing, analysis and display of pressure volume and
 leaf drying curves. From the progression of the curves turgor loss point,
 osmotic potential, apoplastic fraction as well as minimum conductance and
 stomatal closure can be derived. Methods adapted from Bartlett, Scoffoni,
 Sack (2012) <doi:10.1111/j.1461-0248.2012.01751.x> and Sack, Scoffoni,
 PrometheusWikiContributors (2011)
 <http://prometheuswiki.org/tiki-index.php?page=Minimum+epidermal+conductance+%28gmin%2C+a.k.a.+cuticular+conductance%29>.

Package: r-cran-pvlrt
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2909
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-progress, r-cran-data.table, r-cran-bit64, r-cran-glue, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-ggfittext
Suggests: r-cran-furrr, r-cran-plotly, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-pvlrt_0.5.1-1.ca2004.1_all.deb
Size: 2928132
MD5sum: c8222be06fa25dc5b3ba35cb9a311d8e
SHA1: d38d8984d3f0497d814e7dbdf6b0d9fd03e53757
SHA256: 031389ebdd9953384ab5687a28fff75cf05ec61fff89ace7da5337e2e6dc0524
SHA512: eb168fac2581ae43e66c26320e0b8538a229b4dd0492cf4f2164c8110dcabc2dfc4390fb1a0fbd9f2bfb6fb0f7b309b3cc5189d57458228826db5aa6d6f0a8b3
Homepage: https://cran.r-project.org/package=pvLRT
Description: CRAN Package 'pvLRT' (Likelihood Ratio Test-Based Approaches to Pharmacovigilance)
 A suite of likelihood ratio test based methods to use in pharmacovigilance.
 Contains various testing and post-processing functions.

Package: r-cran-pvplr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1922
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-broom, r-cran-ggplot2, r-cran-stlplus, r-cran-cluster, r-cran-purrr, r-cran-tidyr, r-cran-minpack.lm, r-cran-rlang, r-cran-segmented, r-cran-forecast, r-cran-scales, r-cran-zoo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pvplr_0.1.2-1.ca2004.1_all.deb
Size: 1370684
MD5sum: 50c5842cc068c12b5e30e7c9263a19c7
SHA1: 6b2b12b12f4e5c9809558889309a358e2d5c3013
SHA256: e5f89f7baaa9ddaa9b76e27c96f30290d24c3b01d352d44beb5e073a0a2df6cb
SHA512: fca5a5b9e44bfa92f8a42bcce20da09ce6e1ae616d427fe5fff95ab10af3c0832a9e9e0cc8e1b53ed37333c945ce4810af1b54fc43ab5f75dd78e8764b524b78
Homepage: https://cran.r-project.org/package=PVplr
Description: CRAN Package 'PVplr' (Performance Loss Rate Analysis Pipeline)
 The pipeline contained in this package provides tools used in the Solar
 Durability and Lifetime Extension Center (SDLE) for the analysis of
 Performance Loss Rates (PLR) in real world photovoltaic systems. Functions
 included allow for data cleaning, feature correction, power predictive
 modeling, PLR determination, and uncertainty bootstrapping through various
 methods <doi:10.1109/PVSC40753.2019.8980928>.  The vignette "Pipeline
 Walkthrough" gives an explicit run through of typical package usage.  This
 material is based upon work supported by the U.S Department of Energy's
 Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy
 Technologies Office (SETO) Agreement Number DE-EE-0008172.  This work made
 use of the High Performance Computing Resource in the Core Facility for
 Advanced Research Computing at Case Western Reserve University.

Package: r-cran-pvr
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-splancs, r-cran-ape, r-cran-mass
Filename: pool/dists/focal/main/r-cran-pvr_0.3-1.ca2004.1_all.deb
Size: 185296
MD5sum: 322eebed92d797602712b47e4ad8253f
SHA1: 1d7e0f1e217f2c7b80e2a6b773352e20765bc820
SHA256: 265b113b3ef71c2d283c99388373cb89dfae8c0858e24e45ac8e5cd20a4c3ae2
SHA512: 32f72ca06dea4e6cdc8bd35cf443fa1f7473272c60130e40b910e4453174f6a0e50f6dcdde2b70c644f79e790075cf66d94a8c01d097a08159086d32b3e18b50
Homepage: https://cran.r-project.org/package=PVR
Description: CRAN Package 'PVR' (Phylogenetic Eigenvectors Regression and PhylogenticSignal-Representation Curve)
 Estimates (and controls for) phylogenetic signal through phylogenetic
 eigenvectors regression (PVR) and phylogenetic signal-representation (PSR)
 curve, along with some plot utilities.

Package: r-cran-pvsr
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-nnet, r-cran-httr
Filename: pool/dists/focal/main/r-cran-pvsr_0.3-1.ca2004.1_all.deb
Size: 357416
MD5sum: 5070b6b32e694c4198c424a9886f54be
SHA1: 3179774a36ef2dfdcb191a2c798ba351dc73bd2b
SHA256: 843e79137053c03610e55d6ba3145a29267746eab734adbaf43a29189629b1e4
SHA512: d7aa8da51f2b0edef37488281a7f7e8dbdfd6e87de404b8b07f44b9b86e26000b184a606b55fee4fddb802ec36023f0b244d662160cf79f945e5f2ba3649d793
Homepage: https://cran.r-project.org/package=pvsR
Description: CRAN Package 'pvsR' (An R package to interact with the Project Vote Smart API forscientific research)
 The pvsR package facilitates data retrieval from Project Vote Smart's rich
 online data base on US politics via the Project Vote Smart application
 programming interface (PVS API). The functions in this package cover most
 PVS API classes and methods and return the requested data in a data frame.

Package: r-cran-pvstatem
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3719
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-nplr, r-cran-r6, r-cran-readr, r-cran-readxl, r-cran-stringi, r-cran-stringr, r-cran-png, r-cran-ggrepel, r-cran-lubridate, r-cran-r.utils, r-cran-svglite, r-cran-fs, r-cran-scales
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pvstatem_0.2.2-1.ca2004.1_all.deb
Size: 2015108
MD5sum: c53223d825bb38b737d227b0c874247b
SHA1: f3c4cbbc3f8df122c32d19a4f31a252b991e48a8
SHA256: e9fa4134bfe3b4bb4dd83ac4240df50e2eb8843910c92732340be808b8b5c453
SHA512: 4625fa2b0844f2d3780890521ecd160406e647ef240108db55ade8385950657df282c44e05d703ea2ecb9efc6bd66cd3233e1f9d5a464eac5c9cc3ece6b1eda2
Homepage: https://cran.r-project.org/package=PvSTATEM
Description: CRAN Package 'PvSTATEM' (Reading, Quality Control and Preprocessing of MBA (MultiplexBead Assay) Data)
 Speeds up the process of loading raw data from MBA (Multiplex Bead Assay)
 examinations, performs quality control checks, and automatically normalises
 the data, preparing it for more advanced, downstream tasks. The main
 objective of the package is to create a simple environment for a user, who
 does not necessarily have experience with R language. The package is
 developed within the project of the same name - 'PvSTATEM', which is an
 international project aiming for malaria elimination.

Package: r-cran-pwepred
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 741
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-fastmatch, r-cran-segmented, r-cran-foreach, r-cran-dosnow
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pwepred_1.0.0-1.ca2004.1_all.deb
Size: 508864
MD5sum: 41395ec5ec328d0c8590087c36ced22a
SHA1: ad3f77d6c073f20a3ca713c19db95cfca553707e
SHA256: 0953a7a2aba0304ebdf6c7ab31149c73a1a21aa8a4be017d7848f137afbcd366
SHA512: 6ddfe698c2a2f4f9859925eddc6e8beec48c84076a853b7498afbb76f84df66e4702bfda2dffed98d719f4051ed8be995f305011f20374abbce9ef8a1efb1104
Homepage: https://cran.r-project.org/package=PwePred
Description: CRAN Package 'PwePred' (Event/Timeline Prediction Model Based on Piecewise Exponential)
 Efficient algorithm for estimating piecewise exponential hazard models for
 right-censored data, and is useful for reliable power calculation, study
 design, and event/timeline prediction for study monitoring.

Package: r-cran-pwev
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xts, r-cran-rumidas, r-cran-rugarch, r-cran-weightedensemble, r-cran-metrics, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-pwev_0.1.0-1.ca2004.1_all.deb
Size: 24136
MD5sum: 12e0d74f6be6c7b2fe12350ae1693928
SHA1: c1e1e83cf11cf4a7fb63bf2aae5856c3d80a3e37
SHA256: afef039a7c7323edfd70eb9bebb9520c5feacfb01e3bfb2b4bd68ad1b8cd70af
SHA512: 0b9b81174d62a15b3d3800a8cd899f0166e0248504d00134879baa61c746aab7445ada7e62870cbba8b5a123ad1b093796aeb25407fe3a164146307544419f79
Homepage: https://cran.r-project.org/package=PWEV
Description: CRAN Package 'PWEV' (PSO Based Weighted Ensemble Algorithm for Volatility Modelling)
 Price volatility refers to the degree of variation in series over a certain
 period of time. This volatility is especially noticeable in agricultural
 commodities, adding uncertainty for farmers, traders, and others in the
 agricultural supply chain. Commonly and popularly used four volatility
 models viz, GARCH, Glosten Jagannatan Runkle-GARCH (GJR-GARCH) model,
 exponentially weighted moving average (EWMA) model and Multiplicative Error
 Model (MEM) are selected and implemented. PWAVE, weighted ensemble model
 based on particle swarm optimization (PSO) is proposed to combine the
 forecast obtained from all the candidate models. This package has been
 developed using algorithm of Paul et al. <doi:10.1007/s40009-023-01218-x>
 and Yeasin and Paul (2024) <doi:10.1007/s11227-023-05542-3>.

Package: r-cran-pwexp
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-fastmatch, r-cran-segmented, r-cran-foreach, r-cran-dosnow
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pwexp_0.5.0-1.ca2004.1_all.deb
Size: 477532
MD5sum: 98a3f4677e0a2c1ddc0a8ca57380a97c
SHA1: c7bd5c6192e2b5b2a1f0e3b47ded0c2a7de47f77
SHA256: 8165cc651be70c15fe50a658b9e21750fee7855e01510670a3591ae295bbcf44
SHA512: 45897d717ec47156aa09bb8d46add27d2a09bbfcef43a3b87b433c4462bb79a70da8ecb51171d877d23a59b68fcca03c74407ac4a1841714cbf69fa13a055708
Homepage: https://cran.r-project.org/package=PWEXP
Description: CRAN Package 'PWEXP' (Piecewise Exponential Distribution Prediction Model)
 Build piecewise exponential survival model for study design (planning) and
 event/timeline prediction.

Package: r-cran-pwfslsmoke
Architecture: all
Version: 1.2.117-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-maps, r-cran-mazamacoreutils, r-cran-mazamaspatialutils, r-cran-curl, r-cran-cluster, r-cran-dygraphs, r-cran-geosphere, r-cran-ggmap, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-lubridate, r-cran-magrittr, r-cran-mapproj, r-cran-maptools, r-cran-openair, r-cran-png, r-cran-purrr, r-cran-raster, r-cran-rcolorbrewer, r-cran-rgdal, r-cran-rgooglemaps, r-cran-readr, r-cran-reshape2, r-cran-rlang, r-cran-sf, r-cran-slippymath, r-cran-sp, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xts
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pwfslsmoke_1.2.117-1.ca2004.1_all.deb
Size: 2321964
MD5sum: 670b1794f9b75d8def3f98d95cf6bd6c
SHA1: b31d1a98afa5a0c12c90f831934a0c7a00658431
SHA256: 2b571fe5db0bf0be2f2902e8ff16758de076b601438d493c32a33e1d306d0f78
SHA512: 2c3d0df82558ea507494eaf73b09ca82c410655fdad27d1fbfdd8f604481b3a6344fa0a84b7c2f20f1194860c25c2a5eb8ed330d826a305768bb0854d7ceb08b
Homepage: https://cran.r-project.org/package=PWFSLSmoke
Description: CRAN Package 'PWFSLSmoke' (Utilities for Working with Air Quality Monitoring Data)
 Utilities for working with air quality monitoring data with a focus on small
 particulates (PM2.5) generated by wildfire smoke. Functions are provided for
 downloading available data from the United States 'EPA'
 <https://www.epa.gov/outdoor-air-quality-data> and it's 'AirNow' air quality
 site <https://www.airnow.gov>.  Additional sources of PM2.5 data made
 accessible by the package include: 'AIRSIS' (aka "Oceaneering", not public)
 and 'WRCC' <https://wrcc.dri.edu/cgi-bin/smoke.pl>.  Data compilations are
 hosted by the USFS 'AirFire' research team <https://www.airfire.org>.

Package: r-cran-pwir
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bibliometrix, r-cran-igraph, r-cran-progressr
Filename: pool/dists/focal/main/r-cran-pwir_0.0.3-1.ca2004.1_all.deb
Size: 32864
MD5sum: 27e46d584b99bc9a687dcacef7d46dde
SHA1: b656f2c3c67eddc649de2655bd033f45e08cda90
SHA256: 4dee90b9346940d2b43f7e598ddf5dca45565042ce97f8eb1aad7f0dd89b9e2f
SHA512: 70c057756fb18d76ccc2fa0f514c306643abe9a8a3163598d72756db851645c085ed9298f0fc23228b0fa0aa77f608f5b33427be29f598f9ba2cbd1a3ce40e5c
Homepage: https://cran.r-project.org/package=PWIR
Description: CRAN Package 'PWIR' (Provides a Function to Calculate Prize Winner Indices Based onBibliometric Data)
 A function 'PWI()' that calculates prize winner indices based on
 bibliometric data is provided. The default is the 'Derek de Solla Price
 Memorial Medal'. Users can provide recipients of other prizes.

Package: r-cran-pwr2
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pwr2_1.0-1.ca2004.1_all.deb
Size: 34396
MD5sum: 5af120af8a164232e39276a2481ceee2
SHA1: fdf29984af3d1654c1dcd279b47775f1fbbfc10e
SHA256: a428a77b8427fe63e0f6cd62e736560db0a1eb6bd608776634bffb7219049cfb
SHA512: 59eed47070a921ab31f126a738df881c449884eab3371e803ad93ad880bbbbe1a417513f59f29fd2609d08e7deef04ec636365c62c543047ed99d5f7844811c8
Homepage: https://cran.r-project.org/package=pwr2
Description: CRAN Package 'pwr2' (Power and Sample Size Analysis for One-way and Two-way ANOVAModels)
 User friendly functions for power and sample size analysis at one-way and
 two-way ANOVA settings take either effect size or delta and sigma as
 arguments. They are designed for both one-way and two-way ANOVA settings. In
 addition, a function for plotting power curves is available for power
 comparison, which can be easily visualized by statisticians and clinical
 researchers.

Package: r-cran-pwr2ppl
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 536
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-car, r-cran-mass, r-cran-dplyr, r-cran-tidyr, r-cran-ez, r-cran-nlme, r-cran-phia, r-cran-afex, r-cran-mbess, r-cran-lavaan, r-cran-semtools, r-cran-quantreg, r-cran-broom, r-cran-lmtest, r-cran-lmperm, r-cran-pls
Filename: pool/dists/focal/main/r-cran-pwr2ppl_0.5.0-1.ca2004.1_all.deb
Size: 477528
MD5sum: 34c413111e27cd484d46b1fd85995ec2
SHA1: b8afb8cec61c1028b73f6587af82fe5536b01619
SHA256: 6374bb966dfb7f701400835b986be19504c14ab66b5f9c1fcb1b3af36d5c9226
SHA512: 8e69f1e50b0a9a4cdaf3380106bda8fb91d54911b2748eecd47baf98c92a7361050ea9289e2903309c702d2de13922ea65b211bffe64ed57c1a9e7714ccba373
Homepage: https://cran.r-project.org/package=pwr2ppl
Description: CRAN Package 'pwr2ppl' (Power Analyses for Common Designs (Power to the People))
 Statistical power analysis for designs including t-tests, correlations,
 multiple regression, ANOVA, mediation, and logistic regression. Functions
 accompany Aberson (2019) <doi:10.4324/9781315171500>.

Package: r-cran-pwr4exp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 375
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emmeans, r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-numderiv
Suggests: r-cran-agricolae, r-cran-algdesign, r-cran-crossdes, r-cran-frf2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pwr4exp_1.0.0-1.ca2004.1_all.deb
Size: 218688
MD5sum: 25a14ac330c9ca511ad2913338c4b083
SHA1: 101d5bdb7d7a7a64587e9d61f933832893cdb738
SHA256: dafb7b52d9f2c6fdad62cfa574c0046abc5de82affbc79cf67d8d5cf14795331
SHA512: 77f04b75bd1fd8c55fc1b6a3ff201c7c892fa4e7c0152dd445996d1bf4a25c045ea688884b6c1279b58ef116e7c17d5d20ca404dab493e8f5a73414e2cc8cb17
Homepage: https://cran.r-project.org/package=pwr4exp
Description: CRAN Package 'pwr4exp' (Power Analysis for Research Experiments)
 Provides tools for calculating statistical power for experiments analyzed
 using linear mixed models. It supports standard designs, including
 randomized block, split-plot, and Latin Square designs, while offering
 flexibility to accommodate a variety of other complex study designs.

Package: r-cran-pwr
Architecture: all
Version: 1.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pwr_1.3-0-1.ca2004.1_all.deb
Size: 145048
MD5sum: 9541904a10393378c2944de726e1afaf
SHA1: 791a4f5986a09863fd0766e9317d5d191552fba7
SHA256: 5f768615172de21d958730a846ea783a89eb2f4c594e8357842de991e273c828
SHA512: 1d5c409a0dca132668efed9a7c5c0cdce7f4b6a3cd1b18a8e825a07118de2b2b4efa20a6555b1a58d5c554525bbc1fb746cc8cc2d9a9a5fa0077031a00dd5bc8
Homepage: https://cran.r-project.org/package=pwr
Description: CRAN Package 'pwr' (Basic Functions for Power Analysis)
 Power analysis functions along the lines of Cohen (1988).

Package: r-cran-pwrab
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pwrab_0.1.0-1.ca2004.1_all.deb
Size: 24156
MD5sum: 610a43174fa1542214eba17b87ad8b0c
SHA1: 5b5cdb75fbb851e843bafc26d395e789657d9d85
SHA256: 311ac86845db4ab87e91725b9cfed29dc534708332addbdeab609e1edfb1b5e0
SHA512: b853d4b018e252e502d727c28b98c9aca028128bd2fc7a683384dedfd240620c5daf2aba79392c9d891415b55e20d91c69a7be6b44749970e459095cfe8e108c
Homepage: https://cran.r-project.org/package=pwrAB
Description: CRAN Package 'pwrAB' (Power Analysis for AB Testing)
 Power analysis for AB testing. The calculations are based on the Welch's
 unequal variances t-test, which is generally preferred over the Student's
 t-test when sample sizes and variances of the two groups are unequal, which
 is frequently the case in AB testing. In such situations, the Student's
 t-test will give biased results due to using the pooled standard deviation,
 unlike the Welch's t-test.

Package: r-cran-pwrfdr
Architecture: all
Version: 3.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 674
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flextable, r-cran-ggplot2, r-cran-mvtnorm, r-cran-stringr, r-cran-tablemonster
Filename: pool/dists/focal/main/r-cran-pwrfdr_3.2.4-1.ca2004.1_all.deb
Size: 602176
MD5sum: 8417dbc81aec8a64753c64931b82b410
SHA1: 4c5ecf29bd79980169fa24b1cf762698c92b0c9e
SHA256: 9ab811acb75db7fc5ec2dfd6614ff46929549dda578d3696432149bfe9e9aed3
SHA512: 3bae029a13ee5bc0fc7e3fb59226a62f27c845f66fccc867c06ff73a51bd09dab4f6cce6f348a51871487b3a0c918b263b5aca22da855f18dc74615751bf9bb7
Homepage: https://cran.r-project.org/package=pwrFDR
Description: CRAN Package 'pwrFDR' (FDR Power)
 Computing Average and TPX Power under various BHFDR type sequential
 procedures. All of these procedures involve control of some summary of the
 distribution of the FDP, e.g. the proportion of discoveries which are false
 in a given experiment. The most widely known of these, the BH-FDR procedure,
 controls the FDR which is the mean of the FDP. A lesser known procedure, due
 to Lehmann and Romano, controls the FDX, or probability that the FDP exceeds
 a user provided threshold. This is less conservative than FWE control
 procedures but much more conservative than the BH-FDR proceudre. This
 package and the references supporting it introduce a new procedure for
 controlling the FDX which we call the BH-FDX procedure. This procedure
 iteratively identifies, given alpha and lower threshold delta, an alpha*
 less than alpha at which BH-FDR guarantees FDX control.  This uses
 asymptotic approximation and is only slightly more conservative than the
 BH-FDR procedure. Likewise, we can think of the power in multiple testing
 experiments in terms of a summary of the distribution of the True Positive
 Proportion (TPP), the portion of tests truly non-null distributed that are
 called significant. The package will compute power, sample size or any other
 missing parameter required for power defined as (i) the mean of the TPP
 (average power) or (ii) the probability that the TPP exceeds a given value,
 lambda, (TPX power) via asymptotic approximation. All supplied theoretical
 results are also obtainable via simulation. The suggested approach is to
 narrow in on a design via the theoretical approaches and then make final
 adjustments/verify the results by simulation. The theoretical results are
 described in Izmirlian, G (2020) Statistics and Probability letters,
 "<doi:10.1016/j.spl.2020.108713>", and an applied paper describing the
 methodology with a simulation study is in preparation.  See
 citation("pwrFDR").

Package: r-cran-pwrrasch
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-erm, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pwrrasch_0.1-2-1.ca2004.1_all.deb
Size: 77760
MD5sum: 7a3915bad865ce928d086bac4fe34b7f
SHA1: a47c7cef90404d88cf94e0925518953f4a39ba35
SHA256: 1056259df561e9ef64a9b4bf9852397a7c983c550953dd15e6dd62a9148b5f74
SHA512: a484ba708e1a171447f3d9eb92613520ed55690b87ae1d6cea9170a7457249e177a10517b6a94ab28c6607b41c2f00aac8cd5e49fbc5067f56ae2efd45d0e809
Homepage: https://cran.r-project.org/package=pwrRasch
Description: CRAN Package 'pwrRasch' (Statistical Power Simulation for Testing the Rasch Model)
 Statistical power simulation for testing the Rasch Model based on a
 three-way analysis of variance design with mixed classification.

Package: r-cran-pwrss
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2143
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pwrss_0.3.1-1.ca2004.1_all.deb
Size: 1091972
MD5sum: 35e26229b5f1cfb71fa344f6844e59e6
SHA1: d13f1ccece6f5d749f6bf86ad90d5433c087a209
SHA256: d7b025717c9aee1ecd154754b72ba1ef4067119bafd082b8e9757f5b2e1ce12b
SHA512: 39b22539e06a44db1376d78c8e4c57ca84d687ced1114f0e2786a69d0a3ec0d0f69b0ed9c29cc9fbd2400b844be1853d7c219b170b078a3c4c79d98e8e85ef13
Homepage: https://cran.r-project.org/package=pwrss
Description: CRAN Package 'pwrss' (Statistical Power and Sample Size Calculation Tools)
 Statistical power and minimum required sample size calculations for (1)
 testing a proportion (one-sample) against a constant, (2) testing a mean
 (one-sample) against a constant, (3) testing difference between two
 proportions (independent samples), (4) testing difference between two means
 or groups (parametric and non-parametric tests for independent and paired
 samples), (5) testing a correlation (one-sample) against a constant, (6)
 testing difference between two correlations (independent samples), (7)
 testing a single coefficient in multiple linear regression, logistic
 regression, and Poisson regression (with standardized or unstandardized
 coefficients, with no covariates or covariate adjusted), (8) testing an
 indirect effect (with standardized or unstandardized coefficients, with no
 covariates or covariate adjusted) in the mediation analysis (Sobel, Joint,
 and Monte Carlo tests), (9) testing an R-squared against zero in linear
 regression, (10) testing an R-squared difference against zero in
 hierarchical regression, (11) testing an eta-squared or f-squared (for main
 and interaction effects) against zero in analysis of variance (could be
 one-way, two-way, and three-way), (12) testing an eta-squared or f-squared
 (for main and interaction effects) against zero in analysis of covariance
 (could be one-way, two-way, and three-way), (13) testing an eta-squared or
 f-squared (for between, within, and interaction effects) against zero in
 one-way repeated measures analysis of variance (with non-sphericity
 correction and repeated measures correlation), and (14) testing
 goodness-of-fit or independence for contingency tables. Alternative
 hypothesis can be formulated as "not equal", "less", "greater",
 "non-inferior", "superior", or "equivalent" in (1), (2), (3), and (4); as
 "not equal", "less", or "greater" in (5), (6), (7) and (8); but always as
 "greater" in (9), (10), (11), (12), (13), and (14). Reference: Bulus and
 Polat (2023) <https://osf.io/ua5fc>.

Package: r-cran-pwt10
Architecture: all
Version: 10.01-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2734
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pwt10_10.01-0-1.ca2004.1_all.deb
Size: 2764288
MD5sum: 6def1ad4a0b2de5f9aeddf5158c096cf
SHA1: 004a3f5469e45e3849376b879768bafcf5799235
SHA256: e67c92f12108b14899baea63238a2b1185aefe95f8c132d683c5d35ba72d1da0
SHA512: 8fcd65cd2d45d0205ab2d04f1af7e1c05397b5b7941eef192dcee0c4fc8db4509f747f0878cc0a1a7df1a585b4f1d506f84582083be2e088892f002d83ce199d
Homepage: https://cran.r-project.org/package=pwt10
Description: CRAN Package 'pwt10' (Penn World Table (Version 10.x))
 The Penn World Table 10.x (<https://www.rug.nl/ggdc/productivity/pwt/>)
 provides information on relative levels of income, output, input, and
 productivity for 183 countries between 1950 and 2019.

Package: r-cran-pwt8
Architecture: all
Version: 8.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pwt8_8.1-1-1.ca2004.1_all.deb
Size: 2077568
MD5sum: 448d63251d0ceb492f057dabac5d65ec
SHA1: 82a5727220e27c377256ed6e1de9b699998ed391
SHA256: 8690d698215ff6e36e2d910470358d10b5474a7f6ad466b21beb80fe6b266d9d
SHA512: cc4b1fbbab98817bdb4436f8d316ccdb31a69492efa1c4ccbb27a1fa91ceab5f82e76f1e94fc5cc7885e9584be4868e037495018648a668493856275e9c1d550
Homepage: https://cran.r-project.org/package=pwt8
Description: CRAN Package 'pwt8' (Penn World Table (Version 8.x))
 The Penn World Table 8.x provides information on relative levels of income,
 output, inputs, and productivity for 167 countries between 1950 and 2011.

Package: r-cran-pwt9
Architecture: all
Version: 9.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2484
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pwt9_9.1-0-1.ca2004.1_all.deb
Size: 2510828
MD5sum: b084bea2037ce0101c32ff727b7d6ae6
SHA1: 7be270686f1ef8dfdd73d23952ffae9b157cc7c7
SHA256: 8b018bc45083068047c7ac550fe4ed8046f16b775859e07737d96330874ee012
SHA512: 8c565453cc607e007d29bc178af86f8d4cd5f85be0a25bf7007b84708d1c758f1cf77ca1f7138c69c60285df902150a01aff5103fd608d8b6157ce65cfaa81c5
Homepage: https://cran.r-project.org/package=pwt9
Description: CRAN Package 'pwt9' (Penn World Table (Version 9.x))
 The Penn World Table 9.x (<http://www.ggdc.net/pwt/>) provides information
 on relative levels of income, output, inputs, and productivity for 182
 countries between 1950 and 2017.

Package: r-cran-pwt
Architecture: all
Version: 7.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7434
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pwt_7.1-1-1.ca2004.1_all.deb
Size: 7574752
MD5sum: fcae0ede47d9c6f66ef1b043c4b507d4
SHA1: d5410fa7bbacd18f4bb7c1933ddd62b7bc45de2a
SHA256: 46f0f951d49b6bc98d1b12a80c97b3dce20d1b6b0e5e94881b9504b5a4d677f3
SHA512: 8cb459fcc6c594819f36774092d6ad79f42db16f2b763a2c976194210a01f99c4af33302a70737df9a54efbdb852af38cd666c1bcd1edde86972db9db575b0dc
Homepage: https://cran.r-project.org/package=pwt
Description: CRAN Package 'pwt' (Penn World Table (Versions 5.6, 6.x, 7.x))
 The Penn World Table provides purchasing power parity and national income
 accounts converted to international prices for 189 countries for some or all
 of the years 1950-2010.

Package: r-cran-pxmake
Architecture: all
Version: 0.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 763
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-furrr, r-cran-magrittr, r-cran-openxlsx, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-pxmake_0.18.0-1.ca2004.1_all.deb
Size: 606144
MD5sum: 2f75460531f4179f24e4f6f201f54716
SHA1: 362cddec3258df5786aa391eb2052272a52627ba
SHA256: 4051f6a6a83194315b89f91ae5131dddd0567f4b9167caa313eb5f2f306356a2
SHA512: 857be350f668d4c37e61bb15ece2eb183d47b442bfc261996f11682f7b3be75a67db834c42451bcbb0aea1c8d342611a45d24370d52525189e075a877c663828
Homepage: https://cran.r-project.org/package=pxmake
Description: CRAN Package 'pxmake' (Make PX-Files in R)
 Create PX-files from scratch or read and modify existing ones.  Includes a
 function for every PX keyword, making metadata manipulation simple and
 human-readable.

Package: r-cran-pxr
Architecture: all
Version: 0.42.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-reshape2, r-cran-jsonlite, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-pxr_0.42.8-1.ca2004.1_all.deb
Size: 76016
MD5sum: b301299db9c02d2409bc2c006da23268
SHA1: 5568cbb2ec906b17ace5ea0d589f55efc9cc05c7
SHA256: 27050a5ea5a194715b575540bdabf06b5549743228b751a0a7795ec8355df1d1
SHA512: c818e89365ab13a2456be6801c6a8b0848f7e22cea5a8861f845613a6d88f41f600ed30da98f3dc0c5595b9c23a4b43264d3bd9ce0269f19c840e0d1119d721e
Homepage: https://cran.r-project.org/package=pxR
Description: CRAN Package 'pxR' (PC-Axis with R)
 Provides a set of functions for reading and writing PC-Axis files, used by
 different statistical organizations around the globe for data dissemination.

Package: r-cran-pxweb
Architecture: all
Version: 0.17.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2992
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-curl, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-digest, r-cran-httptest, r-cran-knitr, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-pxweb_0.17.0-1.ca2004.1_all.deb
Size: 1083040
MD5sum: 10b857ed21b1ab5fa0842bd155b2740a
SHA1: aa1fa5a6967ce5f7cbf00b210bb65b29ed8bbd36
SHA256: 61cfeca871deaa7438d8da14678d1d61ecbe2be4041b202cc85023689d416259
SHA512: 05fcee9af59d8690a2128524cc53048b6157412d472b89262945bb19c87e98ff03e74d086387be66a4b98b82306cbc1a49f452390c27cd36a0e05b292dd07c7f
Homepage: https://cran.r-project.org/package=pxweb
Description: CRAN Package 'pxweb' (R Interface to PXWEB APIs)
 Generic interface for the PX-Web/PC-Axis API. The PX-Web/PC-Axis API is used
 by organizations such as Statistics Sweden and Statistics Finland to
 disseminate data. The R package can interact with all PX-Web/PC-Axis APIs to
 fetch information about the data hierarchy, extract metadata and extract and
 parse statistics to R data.frame format. PX-Web is a solution to disseminate
 PC-Axis data files in dynamic tables on the web.  Since 2013 PX-Web contains
 an API to disseminate PC-Axis files.

Package: r-cran-pxwebapidata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-rjstat, r-cran-jsonlite, r-cran-pxweb
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pxwebapidata_1.0.0-1.ca2004.1_all.deb
Size: 63344
MD5sum: f33d3708b31403ccb67da690216a5051
SHA1: ea614df1fe70ac9baf094de89245b2d75acc6678
SHA256: fb0f0606fa7e599bf74914ffedbaf79578f18bfe3a4cd85f4c523335788f97f9
SHA512: c5217e41c9714ef32111d6c44f40aded17702254f9ecebb6978bfa5c0128ec3814a8a592685157ca10d7bed4382fdabb689f4fcf58fceb2ca28047288fddf16e
Homepage: https://cran.r-project.org/package=PxWebApiData
Description: CRAN Package 'PxWebApiData' (PX-Web Data by API)
 Function to read PX-Web data into R via API. The example code reads data
 from the three national statistical institutes, Statistics Norway,
 Statistics Sweden and Statistics Finland.

Package: r-cran-pycno
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-sf
Filename: pool/dists/focal/main/r-cran-pycno_1.4-1.ca2004.1_all.deb
Size: 29268
MD5sum: 0a8a434f75a00d3ae76cc487fc979a84
SHA1: 01fe50f9c84d50b182aafa2f797d883447b99568
SHA256: 776110dd771bdb8e0fddb983aebbfe1fbff9e3fcfdf63a33c2bc76d2864024ed
SHA512: 1a18ace6c33ea26fa25970dfa57a14e55d7b8862fef503bf64a34c98ec9b22c7cdd9facd26c855145a31d416afcb312da17658a68d4947242d261e99c282aa0a
Homepage: https://cran.r-project.org/package=pycno
Description: CRAN Package 'pycno' (Pycnophylactic Interpolation)
 Given a SpatialPolygonsDataFrame and a set of populations for each polygon,
 compute a population density estimate based on Tobler's pycnophylactic
 interpolation algorithm. The result is a SpatialGridDataFrame.  Methods are
 described in Tobler Waldo R. (1979) <doi:10.1080/01621459.1979.10481647>.

Package: r-cran-pylintr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fansi, r-cran-htmlwidgets, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-pylintr_0.1.0-1.ca2004.1_all.deb
Size: 20932
MD5sum: 2d5e4d19efa7b3598c4b890dbd0c1473
SHA1: 1cc73d28585f13625a2a2b81cf559ebb0493e44a
SHA256: 5305a813b2775bb6fff8a75bed953ddff557ff64f9f8c97bde410dafd45467ad
SHA512: 86abed8e3f34635559441612de14539e57224ed986ac91f4086064eecffcf26b59454455311e5e73f572f895bed5645ba65fd21cc7ee25018ee9a109d190b49d
Homepage: https://cran.r-project.org/package=pylintR
Description: CRAN Package 'pylintR' (Lint 'Python' Files with a R Command or a 'RStudio' Addin)
 Allow to run 'pylint' on Python files with a R command or a 'RStudio' addin.
 The report appears in the RStudio viewer pane as a formatted HTML file.

Package: r-cran-pymturkr
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-curl, r-cran-xml
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pymturkr_1.1.6-1.ca2004.1_all.deb
Size: 344712
MD5sum: 7a496c0e78ccded83759f74e6e24ef8f
SHA1: c67d2c15203cae5ab9fbc078d9cec6bb7e618f20
SHA256: 93843f4acbbaf89d55ec78311627f1e7bb8626a01e461750498debb27cc348de
SHA512: 92674fd1238d09adf7ec35a7661ee982006dacbff5c8d5aaa7f5b5755aa45d6057e2ff3e72ac5b63a8cb261c48c0a0db7ddf91c8dc31c92ee39c91cd617b5b6c
Homepage: https://cran.r-project.org/package=pyMTurkR
Description: CRAN Package 'pyMTurkR' (A Client for the 'MTurk' Requester API)
 Provides access to the latest 'Amazon Mechanical Turk' ('MTurk')
 <https://www.mturk.com> Requester API (version '2017–01–17'), replacing the
 now deprecated 'MTurkR' package.

Package: r-cran-pyramid
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-pyramid_1.5-1.ca2004.1_all.deb
Size: 31964
MD5sum: 5bc776129574039475ba9f603fa5e706
SHA1: 0a5ca233e871d0d25addc74c903580ad1d553be3
SHA256: 5b5e7641a1eebc4c4bbe252a989b91ede13cb5ef583cacfcaebb130131b36c83
SHA512: 03c295b86b8c54fde384a60c659944df97ebbb8cd7aae38a79b325393774fecbf1db84145898d830b72429a640efe122a4ccca726e691fa8e4b698ebd98edee0
Homepage: https://cran.r-project.org/package=pyramid
Description: CRAN Package 'pyramid' (Draw Population Pyramid)
 Drawing population pyramid using (1) data.frame or (2) vectors.  The former
 is named as pyramid() and the latter pyramids(), as wrapper function of
 pyramid().  pyramidf() is the function to draw population pyramid within the
 specified frame.

Package: r-cran-pysd2r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-reticulate, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-pysd2r_0.1.0-1.ca2004.1_all.deb
Size: 176216
MD5sum: ea8ac0013c36c1dcaa8b110ea738bfd7
SHA1: 703e61939d27226803fad7a0e7227ee47f7be629
SHA256: d57d260925356078c0fa8301af88a0419f315cd8b3c962fcc720b4dc547a671a
SHA512: 66ff445998c3598b158129c7ce97eeac57c4bc333abde0e352793167313fd6afa75feab3296f8ab59d774e17e12d3879e69dabb981477dd7e0acd57249e57dca
Homepage: https://cran.r-project.org/package=pysd2r
Description: CRAN Package 'pysd2r' (API to 'Python' Library 'pysd')
 Using the R package 'reticulate', this package creates an interface to the
 'pysd' toolset.  The package provides an R interface to a number of 'pysd'
 functions, and can read files in 'Vensim' 'mdl' format, and 'xmile' format.
 The resulting simulations are returned as a 'tibble', and from that the
 results can be processed using 'dplyr' and 'ggplot2'. The package has been
 tested using 'python3'.

Package: r-cran-pysparklyr
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-cli, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-glue, r-cran-purrr, r-cran-reticulate, r-cran-rlang, r-cran-sparklyr, r-cran-tidyselect, r-cran-fs, r-cran-magrittr, r-cran-tidyr, r-cran-vctrs, r-cran-processx, r-cran-httr2, r-cran-rstudioapi, r-cran-rsconnect
Suggests: r-cran-crayon, r-cran-r6, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-pysparklyr_0.1.8-1.ca2004.1_all.deb
Size: 235184
MD5sum: 0a473289263220b88e61029c144c3dae
SHA1: 25319e242a99fd4c123e1da6efb3214ddcc338ce
SHA256: e6cb5af10c336c55b00ef1c77e08e04b8b351c75725f89899dc7310b15a90fff
SHA512: 8b26d2876cbb551febb28c917470569023664394ac58dc6848a10c339052be7c0db4d4a6afc8f6431cb6739dcd719341d1ba86f0102eb569e65e40321a46b085
Homepage: https://cran.r-project.org/package=pysparklyr
Description: CRAN Package 'pysparklyr' (Provides a 'PySpark' Back-End for the 'sparklyr' Package)
 It enables 'sparklyr' to integrate with 'Spark Connect', and 'Databricks
 Connect' by providing a wrapper over the 'PySpark' 'python' library.

Package: r-cran-pzfx
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-pzfx_0.3.0-1.ca2004.1_all.deb
Size: 600672
MD5sum: 752b434a12598c5be12107259bc7ef65
SHA1: b02b0935e30c153ef55f49f196c9530309be31d4
SHA256: 3a5703c8990018d3f812dde911bda42485df7fa991270526ac7ae7d26ebcf787
SHA512: 91287bf23fa48e9431324d84048757e568f89eafab8b533a90af0455f1565c3f365a04d72a04665ff21bb59e7f80aa46772c748df52617600fe8057375182997
Homepage: https://cran.r-project.org/package=pzfx
Description: CRAN Package 'pzfx' (Read and Write 'GraphPad Prism' Files)
 Read and write 'GraphPad Prism' '.pzfx' files in R.

Package: r-cran-q2q
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-q2q_0.1.2-1.ca2004.1_all.deb
Size: 151172
MD5sum: dae2b934a565178a814bcb536ad5aa7c
SHA1: 48cdf7d7b501b5afe8af8739d31268be401da6d2
SHA256: e43b424128e0247f7e5d8ec22adda79d92ad619ea1c7f19d7f9b2128a4f1e120
SHA512: cc4c06f6c130f0c43a05f0d0d8145f8aab724fd903edbfa763931a189275d9ea619c7673fdf29f84f081523bb4ca5b96bfdf625fd32d1f340b0d150ee9efa793
Homepage: https://cran.r-project.org/package=Q2q
Description: CRAN Package 'Q2q' (Interpolating Age-Specific Mortality Rates at All Ages)
 Mortality rates are typically provided in an abridged format, i.e., by age
 groups 0, [1, 5], [5, 10]', '[10, 15]', and so on. Some applications
 necessitate a detailed (single) age description. Despite the large number of
 proposed approaches in the literature, only a few methods ensure great
 performance at both younger and higher ages. For example, the 6-term
 'Lagrange' interpolation function is well suited to mortality interpolation
 at younger ages (with irregular intervals), but not at older ages. The
 'Karup-King' method, on the other hand, performs well at older ages but is
 not suitable for younger ones. Interested readers can find a full discussion
 of the two stated methods in the book Shryock, Siegel, and Associates
 (1993).The Q2q package combines the two methods to allow for the
 interpolation of mortality rates across all age groups. It begins by
 implementing each method independently, and then the resulting curves are
 linked using a 5-age averaged error between the two partial curves.

Package: r-cran-q7
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-q7_0.1.0-1.ca2004.1_all.deb
Size: 48804
MD5sum: 911d7ebe9637c6456590ccd8e6bc187a
SHA1: 12c9ab1403b2e36be2ecd01a526c09fb6afba8d7
SHA256: b504408ebeda1ae635db219c054becc740e4cb1c4579617c014fa77e2edc1f35
SHA512: 7fa2b3d8f8878948f5dea4e7514e31667c1ca830b44408e59d31cdce345ef61e10887d91ea0d7881b9743e342f2b95ab88dccae6df391ced5fef16bac0de146b
Homepage: https://cran.r-project.org/package=Q7
Description: CRAN Package 'Q7' (Types and Features for Object Oriented Programming)
 Construct message-passing style objects with types and features. Q7 types
 uses composition instead of inheritance in creating derived types, allowing
 defining any code segment as feature and associating any feature to any
 object. Compared to R6, Q7 is simpler and more flexible, and is more
 friendly in syntax.

Package: r-cran-qacbase
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 779
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-ggcorrplot, r-cran-multcompview, r-cran-pmcmrplus, r-cran-crayon, r-cran-purrr, r-cran-haven, r-cran-rlang, r-cran-ggextra, r-cran-patchwork
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-qacbase_1.0.3-1.ca2004.1_all.deb
Size: 531892
MD5sum: 67c586d7e973cac86dc05b68922ca05e
SHA1: a4703bebca2a0791b23a2e1a642299e05a1e654e
SHA256: cceb4662a1dd76a7e62aee380259ef6b30d51174d3cc9fbf1e2fd2e1d5669dba
SHA512: 14ec1d6c23c443f77d39fefd9a2b086d3b9087abbde8e3f767f4c1eaf52a166425992410337415b10cf45628764a7d85d0811052b2394b766bbe4068e41fb584
Homepage: https://cran.r-project.org/package=qacBase
Description: CRAN Package 'qacBase' (Functions to Facilitate Exploratory Data Analysis)
 Functions for descriptive statistics, data management, and data
 visualization.

Package: r-cran-qaensemble
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-coda, r-cran-diagram, r-cran-expm, r-cran-knitr, r-cran-rmarkdown, r-cran-svmisc
Filename: pool/dists/focal/main/r-cran-qaensemble_1.0.0-1.ca2004.1_all.deb
Size: 239052
MD5sum: 239279060d9c3c4c17ed6ca89e6e9287
SHA1: 393993282cae7308070d18a1f74e9c4405198e4d
SHA256: 881d1c4640d853d9d93acfbd04fc6d4d8a5229c1f31fbc940bd2223a3140e97f
SHA512: a7ff9f41adeeabb48d9e376b3f5d61b3059107fce8eae9001b0f05fa28c03f4427bc718b3efbacd4b6260bc064a8dc61390d80471e5d9410890d955712de124b
Homepage: https://cran.r-project.org/package=QAEnsemble
Description: CRAN Package 'QAEnsemble' (Ensemble Quadratic and Affine Invariant Markov Chain Monte Carlo)
 The Ensemble Quadratic and Affine Invariant Markov chain Monte Carlo
 algorithms provide an efficient way to perform Bayesian inference in
 difficult parameter space geometries. The Ensemble Quadratic Monte Carlo
 algorithm was developed by Militzer (2023) <doi:10.3847/1538-4357/ace1f1>.
 The Ensemble Affine Invariant algorithm was developed by Goodman and Weare
 (2010) <doi:10.2140/camcos.2010.5.65> and it was implemented in Python by
 Foreman-Mackey et al (2013) <doi:10.48550/arXiv.1202.3665>. The Quadratic
 Monte Carlo method was shown to perform better than the Affine Invariant
 method in the paper by Militzer (2023) <doi:10.3847/1538-4357/ace1f1> and
 the Quadratic Monte Carlo method is the default method used. The Chen-Shao
 Highest Posterior Density Estimation algorithm is used for obtaining
 credible intervals and the potential scale reduction factor diagnostic is
 used for checking the convergence of the chains.

Package: r-cran-qaig
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-formula
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qaig_0.1.7-1.ca2004.1_all.deb
Size: 30408
MD5sum: 22d03b20a5f376c9fcdf3e338bac1b86
SHA1: 0ecb1d99b57db51cf6395f1ccf910e297ba884dd
SHA256: 8bf0c55e84b08d34973e8a9f3e0ec3a16e20fc8724a2289fce7eb179c05d70c4
SHA512: b04e8d6679bae9010834de9894dda62f974dd593b106c5c046a9e9abafa6d64f9c4466c452082cfbf93bc1ad5bc932b4b5e4ff85d0aa7624a4a2ef192efb1066
Homepage: https://cran.r-project.org/package=QAIG
Description: CRAN Package 'QAIG' (Automatic Item Generator for Quantitative Multiple-Choice Items)
 A tool for automatic generation of sibling items from a parent item model
 defined by the user. It is an implementation of the process automatic item
 generation (AIG) focused on generating quantitative multiple-choice type of
 items (see Embretson, Kingston (2018) <doi:10.1111/jedm.12166>).

Package: r-cran-qape
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-matrix, r-cran-mvtnorm, r-cran-plyr, r-cran-dplyr, r-cran-matrixcalc, r-cran-future.apply, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-qape_2.1-1.ca2004.1_all.deb
Size: 335720
MD5sum: 8645f99e8ede1b09656ebcecb754f4a1
SHA1: 2bc2d3203871e3d0f0b089916e801543608ea98c
SHA256: d71243a055fd7bb6a78c7b376f1c2cf552829f99115f49c912e3b4483173e87f
SHA512: 4f235e35f8fee670b35e51640fa7dffa955a3f9118151b9d26fd80c239b419c22b5caeef4c91925c0969449f50bf7f1bc9b83df8abe56c26b1286d204953a5f6
Homepage: https://cran.r-project.org/package=qape
Description: CRAN Package 'qape' (Quantile of Absolute Prediction Errors)
 Estimates QAPE using bootstrap procedures. The residual, parametric and
 double bootstrap is used. The test of normality using Cholesky decomposition
 is added. Y pop is defined.

Package: r-cran-qapprox
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qapprox_0.2.0-1.ca2004.1_all.deb
Size: 16592
MD5sum: 85014fc82fa11c7a4c8e177acf85ce8e
SHA1: f88cca52459d62b8f6d17d4c70f9b385e0e69507
SHA256: 44eace512f5c65efa6bb8a0c90ad9b825863cef842db1d2bfa3238fc58c5f9ee
SHA512: 08d2a9defe69408791961a2665122f038fc723c553387eefcdaa3e7f5db599e72c0141b0d23734abcc1f7918467aeecb8713d46bf2c2c89fc959da2081af55de
Homepage: https://cran.r-project.org/package=Qapprox
Description: CRAN Package 'Qapprox' (Approximation to the Survival Functions of Quadratic Forms ofGaussian Variables)
 Calculates the right-tail probability of quadratic forms of Gaussian
 variables using the skewness-kurtosis ratio matching method, modified
 Liu-Tang-Zhang method and Satterthwaite-Welch method. The technical details
 can be found in Hong Zhang, Judong Shen and Zheyang Wu (2020)
 <arXiv:2005.00905>.

Package: r-cran-qardl
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-pbapply, r-cran-quantreg, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-qardl_0.1.1-1.ca2004.1_all.deb
Size: 246020
MD5sum: df4137b599ca2950c9e270909dda185c
SHA1: 7bc0f3147b83b6facf67785c92d01ce35deeedb3
SHA256: c49581ba44a7073ab98d81f109442a8479df9527704a234145f3b1cb255a8a9d
SHA512: ab0006e6b70b8d4553f4080b5e4e4e0e60cf5a02fb9d175179ddb677c14b6ac5c6c2c7cfdfec1cec0b11a237be0895bc86f53b27822710442b90deaa50bb83d3
Homepage: https://cran.r-project.org/package=Qardl
Description: CRAN Package 'Qardl' (Quantile Autoregressive Distributed Lag Model)
 Compute the quantile autoregressive distributed lag model of Cho, Jin Seo &
 Kim, Tae-hwan & Shin, Yongcheol,(2015) <DOI:10.1016/j.jeconom.2015.05.003>
 and the short and long-run wald tests.

Package: r-cran-qat
Architecture: all
Version: 0.74-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ncdf4, r-cran-gplots, r-cran-xml, r-cran-gdata, r-cran-moments, r-cran-boot, r-cran-fields
Filename: pool/dists/focal/main/r-cran-qat_0.74-1.ca2004.1_all.deb
Size: 600952
MD5sum: 2aca3bc709edfc2ddfdfb908e8f9546a
SHA1: b5d96b4acd650ba7742a6551d861e8995578b63a
SHA256: c28451c5146c9eab6b91697356edc0f3d9fdde166c23c82d579ef2f8784add89
SHA512: 2726a47f0850d477497ce275773e9f3e8257800115d08f16fb2d01c5742033b53d38d56cda0ea2ffefc8c120b4cd114bf7d9797e6a69f8287db5938f9a5547d9
Homepage: https://cran.r-project.org/package=qat
Description: CRAN Package 'qat' (Quality Assurance Toolkit)
 Functions for a scientific quality assurance of meteorological data.

Package: r-cran-qbinplots
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1000
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-patchwork, r-cran-scales
Suggests: r-cran-palmerpenguins, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-qbinplots_0.3.3-1.ca2004.1_all.deb
Size: 873916
MD5sum: 09aaa9d6e55e818a3c32045c10c3d4a4
SHA1: 32231cbb2bbb58eb65400393926e0a5e93d3231f
SHA256: d4ebc430829412a150fabae5bfd86e1f578f9a7268a27e71c306bdb807e96234
SHA512: ba2c218fd591d5c51bad24638faf776823ba81e8629f10ef1da3b9cd7f88cd15cfe6c6cc17bc1fa3f8b98095ce08cbd3fc4c49adf629bd0363f5a0e033aee953
Homepage: https://cran.r-project.org/package=qbinplots
Description: CRAN Package 'qbinplots' (Quantile Binned Plots)
 Create quantile binned and conditional plots for Exploratory Data Analysis.
 The package provides several plotting functions that are all based on
 quantile binning. The plots are created with 'ggplot2' and 'patchwork' and
 can be further adjusted.

Package: r-cran-qbms
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 432
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-rnetcdf, r-cran-terra, r-cran-rsqlite, r-cran-dbi, r-cran-future, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-qbms_1.5.0-1.ca2004.1_all.deb
Size: 256060
MD5sum: 0e320bef868dfcfeed25f01b99ab6cca
SHA1: 55a978d196e3f1c88a3a7e8b8b2a9d381344e940
SHA256: 58c113a17a0d7b844d2e16da30089c0db18b9d19d87891296dc77e9d0b148805
SHA512: 3f8c9cd5f0260d14d3d82e574d34d3ffa3d6be6300d9d74821eb4f9a5845b7a12217a6dd8cbc43127563b0a07062fe3bc91d2abd7ff00d0225b9a1b8df77f48d
Homepage: https://cran.r-project.org/package=QBMS
Description: CRAN Package 'QBMS' (Query the Breeding Management System(s))
 This R package assists breeders in linking data systems with their analytic
 pipelines, a crucial step in digitizing breeding processes. It supports
 querying and retrieving phenotypic and genotypic data from systems like
 'EBS' <https://ebs.excellenceinbreeding.org/>, 'BMS' <https://bmspro.io>,
 'BreedBase' <https://breedbase.org>, and 'GIGWA'
 <https://github.com/SouthGreenPlatform/Gigwa2> (using 'BrAPI'
 <https://brapi.org> calls).  Extra helper functions support environmental
 data sources, including 'TerraClimate'
 <https://www.climatologylab.org/terraclimate.html> and 'FAO' 'HWSDv2'
 <https://gaez.fao.org/pages/hwsd> soil database.

Package: r-cran-qboxplot
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qboxplot_0.2-1.ca2004.1_all.deb
Size: 18980
MD5sum: b8eabaac3538e9a0da065c6ef7a25a28
SHA1: aa6145e5a1e5d418e18ec8fe1a82035cc72611ee
SHA256: 688a46926c7e988b754a5299509a4381a1ee51a57593ed21c2353ca6b2e91bfd
SHA512: 78d6dc1bbbf1d7aaeb45c3fbcfc69a112e0feae02fe6c9a244e92d93145a40daf6918ee297aab4a55e52b5ca45f8917c25906ea10d93bc7a3a28eb114b0caed1
Homepage: https://cran.r-project.org/package=qboxplot
Description: CRAN Package 'qboxplot' (Quantile-Based Boxplot)
 Produce quantile-based box-and-whisker plot(s).

Package: r-cran-qbr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-httr2, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-qbr_1.3.0-1.ca2004.1_all.deb
Size: 92624
MD5sum: 210e5411031a57edc314b982526856ff
SHA1: d82a905f868692652d31e20540beba62e23f3b3e
SHA256: e651df7f00799d0560967ade060f18e9222a7661cf048f802a1b1cfac1d701cc
SHA512: c19120fa7cbcdb5ffdbeda9dc0eaf725aab715073de17fcb69197ab46fb744f84672e5a60e021f364e673a7d104a8abc68c3e49b9469af8bac33c63bfa68f469
Homepage: https://cran.r-project.org/package=qbr
Description: CRAN Package 'qbr' (Access the 'Quickbase' JSON API)
 Programmatically access the 'Quickbase' JSON API
 <https://developer.quickbase.com>.  You supply parameters for an API call,
 'qbr' delivers an http request to the API endpoint and returns its response.
 Outputs follow 'tidyverse' philosophy.

Package: r-cran-qcacluster
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-plyr, r-cran-qca, r-cran-purrr, r-cran-upsetr, r-cran-magrittr, r-cran-stringi
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-qcacluster_0.1.0-1.ca2004.1_all.deb
Size: 129964
MD5sum: 4f72f73b8cf8a8a45d13197d4e7064d6
SHA1: c1582db3d8e648da9e7adb40d8383cef08840620
SHA256: 1f2a35a53acae4bec25269fa55fc2f7e45c3a5141873dd8693feaf75845bebb2
SHA512: 1124a5218e900cb6275fbd13f5211090d6460e6f8bace498f68b36b7a5004dd88efeeb94fec7c676f5877073a447cbfec02bbefbaa83032ad07def3c137bf580
Homepage: https://cran.r-project.org/package=QCAcluster
Description: CRAN Package 'QCAcluster' (Tools for the Analysis of Clustered Data in QCA)
 Clustered set-relational data in Qualitative Comparative Analysis (QCA) can
 have a hierarchical structure, a panel structure or repeated cross sections.
 'QCAcluster' allows QCA researchers to supplement the analysis of pooled the
 data with a disaggregated perspective focusing on selected partitions of the
 data. The pooled data can be partitioned along the dimensions of the
 clustered data (individual cross sections or time series) to perform
 partition-specific truth table minimizations. Empirical researchers can
 further calculate the weight that each partition has on the parameters of
 the pooled solution and the diversity of the cases under analysis within and
 across partitions (see <https://ingorohlfing.github.io/QCAcluster/>).

Package: r-cran-qcafalsepositive
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcafalsepositive_1.1.1-1.ca2004.1_all.deb
Size: 47124
MD5sum: d1a7b4193b73cfbbe00477da65c4f2d4
SHA1: f61a44e85f33e78fc85be26076c62e9f9d52175c
SHA256: a306f5f760e126c16331d359c073ca373cbde7574fdbca4b4f20cd079da1876a
SHA512: ffde32ed789eabc1836e2960151fbb9f1d229c4bd029f63d2ede945b3476a6242d4814d26c1d4fa72f5e37d470d0c0296b6cfd8be5d4a3d11407958f2d715089
Homepage: https://cran.r-project.org/package=QCAfalsePositive
Description: CRAN Package 'QCAfalsePositive' (Tests for Type I Error in Qualitative Comparative Analysis (QCA))
 Implements tests for Type I error in Qualitative Comparative Analysis (QCA)
 that take into account the multiple hypothesis tests inherent in the
 procedure. Tests can be carried out on three variants of QCA: crisp-set QCA
 (csQCA), multi-value QCA (mvQCA) and fuzzy-set QCA (fsQCA). For fsQCA, the
 fsQCApermTest() command implements a permutation test that provides 95%
 confidence intervals for the number of counterexamples and degree of
 consistency, respectively. The distributions of permuted values can be
 plotted against the observed values. For csQCA and mvQCA, simple binomial
 tests are implemented in csQCAbinTest() and mvQCAbinTest(), respectively.

Package: r-cran-qcapower
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 774
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggforce, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qcapower_0.1.0-1.ca2004.1_all.deb
Size: 271692
MD5sum: 59ac8cf064bfcb8c3cbbfc1a9435a2b8
SHA1: 8b7411398eb770466aef215c459551383bc9aeb6
SHA256: 0e502fc04d6bd0b40a251e235a57d965ebeda23f1232f13dac388ae205fa5db6
SHA512: f2adf54db761ebff22696f6b95e55190a6360335e2f81fa0721b925f83a2ea1e924cf5c1d44e418d2a4df8a42ae3b64fdbfcc4dc75da72735d72761e8a6f245d
Homepage: https://cran.r-project.org/package=qcapower
Description: CRAN Package 'qcapower' (Estimate Power and Required Sample Size in QCA)
 Researchers working with Qualitative Comparative Analysis (QCA) can use the
 package to estimate power of a sufficient term using permutation tests. A
 term can be anything: A condition, conjunction or disjunction of any
 combination of these. The package further allows users to plot the
 estimation results and to estimate the number of cases required to achieve a
 certain level of power, given a prespecified null and alternative
 hypothesis.  Reference for the article introducing power estimation for QCA
 is: Rohlfing, Ingo (2018) <doi:10.1017/pan.2017.30> (ungated version:
 <doi:10.17605/OSF.IO/PC4DF>).

Package: r-cran-qcatools
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-ggplot2, r-cran-directlabels, r-cran-qca
Filename: pool/dists/focal/main/r-cran-qcatools_0.2.3-1.ca2004.1_all.deb
Size: 32868
MD5sum: 1c8f1e53c7c6fbb6663fc114856fcab8
SHA1: 74ed3d5100260de0bbe131b8ea7584c545651ba2
SHA256: f198475ab44fc8da3302254ab8f10035063af22e66e2ccec06257876990e5edd
SHA512: 70ec81ad3d980ab63c2e45523b49e2d032208fccdc5596fd15caa96fa95973e602d0e5c737017cf1e6d58bb31f5e05075ebaa19a913b94161e450e57d1ed9686
Homepage: https://cran.r-project.org/package=QCAtools
Description: CRAN Package 'QCAtools' (Helper Functions for QCA in R)
 Helper functions for Qualitative Comparative Analysis: evaluate and plot
 Boolean formulae on fuzzy set score data, apply Boolean operations, compute
 consistency and coverage measures.

Package: r-cran-qcauchyreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-qcauchyreg_1.0-1.ca2004.1_all.deb
Size: 98648
MD5sum: bea63bbc00b3b36624bba5b627f419d6
SHA1: a8f5597be82cb91beb8d6a7e34c5976097a00771
SHA256: 48ee0212841d77dcb6b403738070533925e5a758c6bfb383c93cd2ef45455d73
SHA512: c0a97abeb2f02e8ee90ed67ad5449bbee951915ff62bdd8116809ba4d8188386ff65998ff74222015b0599b17c7fe50ed5f8a2dbf31610c021f49f7ad89c1ae5
Homepage: https://cran.r-project.org/package=qcauchyreg
Description: CRAN Package 'qcauchyreg' (Quantile Regression Quasi-Cauchy)
 Quasi-Cauchy quantile regression, proposed by de Oliveira, Ospina, Leiva,
 Figueroa-Zuniga and Castro (2023) <doi:10.3390/fractalfract7090667>. This
 regression model is useful for the case where you want to model data of a
 nature limited to the intervals [0,1], (0,1], [0,1) or (0,1) and you want to
 use a quantile approach.

Package: r-cran-qcba
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arules, r-cran-rjava, r-cran-arulescba, r-cran-arc
Suggests: r-cran-rcba, r-cran-sbrl
Filename: pool/dists/focal/main/r-cran-qcba_1.0.2-1.ca2004.1_all.deb
Size: 307716
MD5sum: f1f6c01c93bd5ffcebdc97d2bc45fe62
SHA1: dfe9aa6435a8f410c8a6afbc06fa1233da25d662
SHA256: e6c9946453c89c04d1bc48cea6fd3c3e7881bf33bfd77d954b94da42e915c442
SHA512: 6885a49a1d510b7b88a5a23474e9d64a0bd16582a969b29b0334a83010449fa577b5e1b640dbc1c7f0e357a439f98c6346fe813d9799cf1a1514eef1a6260b77
Homepage: https://cran.r-project.org/package=qCBA
Description: CRAN Package 'qCBA' (Postprocessing of Rule Classification Models Learnt on QuantizedData)
 Implements the Quantitative Classification-based on Association Rules (QCBA)
 algorithm (<doi:10.1007/s10489-022-04370-x>).  QCBA postprocesses rule
 classification models making them typically smaller and in some cases more
 accurate.  Supported are 'CBA' implementations from 'rCBA', 'arulesCBA' and
 'arc' packages, and 'CPAR', 'CMAR', 'FOIL2' and 'PRM' implementations from
 'arulesCBA' package and 'SBRL' implementation from the 'sbrl' package. The
 result of the post-processing is an ordered CBA-like rule list.

Package: r-cran-qcc
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4719
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qcc_2.7-1.ca2004.1_all.deb
Size: 3333760
MD5sum: 1abea3b23ab9b99da8021f9bdcf08c37
SHA1: 594f70a63fdf801a036aaffab4e1e128dad7ee11
SHA256: 4387771634fb21ba05818f8b6cae2a421908562ab1aa742243431f8554ac5f5a
SHA512: d43fd6132cf8269e38ec2428de6de39ce56be7b95605b65f3e3a59d8e11f3a12e5f02df86c47ee865496eaa4798b84f5e96a401b09784bd6c2a9bcd90136139a
Homepage: https://cran.r-project.org/package=qcc
Description: CRAN Package 'qcc' (Quality Control Charts)
 Shewhart quality control charts for continuous, attribute and count data.
 Cusum and EWMA charts. Operating characteristic curves. Process capability
 analysis. Pareto chart and cause-and-effect chart. Multivariate control
 charts.

Package: r-cran-qccrs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qccrs_0.1.0-1.ca2004.1_all.deb
Size: 30388
MD5sum: 33bb7fb29dd6ed8e1f6d3ad87b064a0d
SHA1: c0407a5fd74462597ac557f18deeb77654683222
SHA256: 454553b334f6e444b868addc31f9a2401e034e99477e25a4cd7a6694923e60a5
SHA512: 73aa5353894ea1af855fb3678464dce66ef13d1fbf0a79fba48e67a3861feacfa51674c72b0306f5f1241d9b100d593611a42ea7f9d566192cb694c143992c42
Homepage: https://cran.r-project.org/package=qccrs
Description: CRAN Package 'qccrs' (Quality Control Charts under Repetitive Sampling)
 Functions to calculate Average Sample Numbers (ASN), Average Run Length
 (ARL1) and value of k, k1 and k2 for quality control charts under repetitive
 sampling as given in Aslam et al. (2014) (<DOI:10.7232/iems.2014.13.1.101>).

Package: r-cran-qcewas
Architecture: all
Version: 1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcewas_1.2-3-1.ca2004.1_all.deb
Size: 387320
MD5sum: 2170a5f9e7da1df394fa9d789bffec8b
SHA1: 0dfd34133e6f8c9ee87489710da6802bbd922159
SHA256: b86bda307f8f640a600c4793c719f70061b181e28d24dbbce6c706a076696e63
SHA512: e942eab2ce28f073cb7bcc673ec7e98e8b366a556143ee9778865045b39cd32c77142b2f20f9635a00196ab25a8dec1f9a68f1521e427b19d31fa65da0dfb563
Homepage: https://cran.r-project.org/package=QCEWAS
Description: CRAN Package 'QCEWAS' (Fast and Easy Quality Control of EWAS Results Files)
 Tools for (automated and manual) quality control of the results of
 Epigenome-Wide Association Studies.

Package: r-cran-qcgwas
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1330
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcgwas_1.0-9-1.ca2004.1_all.deb
Size: 998556
MD5sum: 0d5f5a08a093686c7f93b291ee6ff712
SHA1: 11ee05206aace13c84831460a18908eea346fada
SHA256: 0ce2a781954d1e9cc5d08524a64a76a95ae84dd3269fe81a639703a3d2e27d33
SHA512: b1feb88d6806821cbb5f354616a333f48d4d0d7a4a6edce0e9bb9e79e81d17ae52ce0c362b3eab7cb117835c56958e6007c3ae27a3c2627e0dac453d2a481094
Homepage: https://cran.r-project.org/package=QCGWAS
Description: CRAN Package 'QCGWAS' (Quality Control of Genome Wide Association Study Results)
 Tools for (automated and manual) quality control of the results of Genome
 Wide Association Studies.

Package: r-cran-qcpm
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-csem, r-cran-broom
Filename: pool/dists/focal/main/r-cran-qcpm_0.4-1.ca2004.1_all.deb
Size: 112172
MD5sum: 56b1df267835cc050b9ccdb7d7e811ee
SHA1: c13ec2f353f6fa5308f172093d67ad79842468e3
SHA256: 95e3fab23d429ba55b92e2b3a4829d0e2ae8584ef32a817e30c3a4d2e7f42170
SHA512: 9b87189114b41b97b2abe2c02a0900eebb276a80db87a4e277fba41a1b72fffdb54fe027641ada022894a933b5864b31bf17bb7c862cc906d55e6fb156165955
Homepage: https://cran.r-project.org/package=qcpm
Description: CRAN Package 'qcpm' (Quantile Composite Path Modeling)
 Implements the Quantile Composite-based Path Modeling approach (Davino and
 Vinzi, 2016 <doi:10.1007/s11634-015-0231-9>; Dolce et al., 2021
 <doi:10.1007/s11634-021-00469-0>). The method complements the traditional
 PLS Path Modeling approach, analyzing the entire distribution of outcome
 variables and, therefore, overcoming the classical exploration of only
 average effects. It exploits quantile regression to investigate changes in
 the relationships among constructs and between constructs and observed
 variables.

Package: r-cran-qcqpcr
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-qcqpcr_1.5-1.ca2004.1_all.deb
Size: 24212
MD5sum: eb45739581ab6574d5fa2fea8908b48e
SHA1: de7d2787b466f88a93c575228abeb6b24b1b0e7a
SHA256: 626715e9ca8c073beb6bb98b2065b71166ac90e2f4d6feb2ddd3b0a8e32c89ed
SHA512: 4593856c7f8c9ec8f23e93dc1e448b58ce65b0f4bd3abb07d8df52af5b1629678c50d84956c7ce13216becaff6bb18ab040b020354f5a08c589386c91376e79b
Homepage: https://cran.r-project.org/package=qcQpcr
Description: CRAN Package 'qcQpcr' (Histone ChIP-Seq qPCR Analyzer)
 Quality control of chromatin immunoprecipitation libraries (ChIP-seq) by
 quantitative polymerase chain reaction (qPCR). This function calculates
 Enrichment value with respect to reference for each histone modification
 (specific to 'Vii7' software
 <http://www.thermofisher.com/ca/en/home/life-science/pcr/real-time-pcr/real-time-pcr-instruments/viia-7-real-time-pcr-system/viia-7-software.html>).
 This function is applicable to full panel of histone modifications described
 by International Human Epigenomic Consortium (IHEC).

Package: r-cran-qcr
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-qcc, r-cran-fda.usc, r-cran-mvtnorm, r-cran-mass
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-qcr_1.4-1.ca2004.1_all.deb
Size: 384000
MD5sum: 9dc0ad24371d05d7bb81d244e753814d
SHA1: bc472c9890703adb90c8c46691d27cf156c8505f
SHA256: 70e1ffdb9377d9526747e2b0de320af8a24ddc57e3ec45d4a22dcad624cdd8e0
SHA512: 974d5c9ebdc4bb0ea1d9ffec7aa985a1e71d86f60cb93606c76c5a595189b89f823457893de990db447248f11946bd65f9822955f47ded06580b6c44fe83a1f8
Homepage: https://cran.r-project.org/package=qcr
Description: CRAN Package 'qcr' (Quality Control Review)
 Univariate and multivariate SQC tools that completes and increases the SQC
 techniques available in R. Apart from integrating different R packages
 devoted to SQC ('qcc','MSQC'), provides nonparametric tools that are highly
 useful when Gaussian assumption is not met.  This package computes standard
 univariate control charts for individual measurements, 'X-bar', 'S', 'R',
 'p', 'np', 'c', 'u', 'EWMA' and 'CUSUM'. In addition, it includes functions
 to perform multivariate control charts such as 'Hotelling T2', 'MEWMA' and
 'MCUSUM'. As representative feature, multivariate nonparametric alternatives
 based on data depth are implemented in this package: 'r', 'Q' and 'S'
 control charts. In addition, Phase I and II control charts for functional
 data are included. This package also allows the estimation of the most
 complete set of capability indices from first to fourth generation, covering
 the nonparametric alternatives, and performing the corresponding capability
 analysis graphical outputs, including the process capability plots. See
 Flores et al. (2021) <doi:10.32614/RJ-2021-034>.

Package: r-cran-qcrlscr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2899
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcrlscr_0.1.3-1.ca2004.1_all.deb
Size: 2865292
MD5sum: 55911cd606d91027c0719f32d816c0a4
SHA1: 0a47bea918d5593b87eebc19cfa2af2c8ed325b5
SHA256: 4c36263e668294d0cea13db2a49daad2f6b73022795499f37c26adf4585be1c2
SHA512: 9bbceefbad94a40df3e4bf99e8b278de942582b8af27e5bb4098dba5991d0a1f5f07ea075f9ef5e63bc2f445a21dd808a71ee8988b6ea8f572c7b26c42791937
Homepage: https://cran.r-project.org/package=qcrlscR
Description: CRAN Package 'qcrlscR' (Quality Control–based Robust LOESS Signal Correction)
 An R implementation of quality control–based robust LOESS(local polynomial
 regression fitting) signal correction for metabolomics data analysis,
 described in Dunn, W., Broadhurst, D., Begley, P. et al. (2011)
 <doi:10.1038/nprot.2011.335>. The optimisation of LOESS's span parameter
 using generalized cross-validation (GCV) is provided as an option. In
 addition to signal correction, 'qcrlscR' includes some utility functions
 like batch shifting and data filtering.

Package: r-cran-qcsimulator
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-qcsimulator_0.0.1-1.ca2004.1_all.deb
Size: 120552
MD5sum: 1b77fd499c434a41c315b3ce59f6adb9
SHA1: 9117d1b310e9dee77aee2c75b12bb3f1b9670a71
SHA256: 7ccc0c2b77c8115455f4c02aec79fc590b77c48937cc808de9bba1cf6ecf8f5c
SHA512: 1df4b65c9d21b675c3fb288ccd5f948ec28166eed7b9b9bc7ce64a70a4669d154adbe65ac2a09d2d14b207e33f63b9bc921598383cf6e7ccd55df3a93767b70e
Homepage: https://cran.r-project.org/package=QCSimulator
Description: CRAN Package 'QCSimulator' (A 5-Qubit Quantum Computing Simulator)
 Simulates a 5 qubit Quantum Computer and evaluates quantum circuits with 1,2
 qubit quantum gates.

Package: r-cran-qcsis
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcsis_0.1-1.ca2004.1_all.deb
Size: 24544
MD5sum: e2a6d716bd6c2f2db5ca2ed544f0c903
SHA1: 5c05c57ce08598d5004bbcc80549004fcab1a535
SHA256: 578f7a65fc5648f91340b36dd84e695dc2928df3b9a60c0079d6681aa22e8cce
SHA512: 688b0f248c75acd51b6095f13040d686f036b3bfeb42e0123e7b5910ba848b9d8cc79bda5755d052550d91b74827cf6610aca454342a1697b127b76de823c1e8
Homepage: https://cran.r-project.org/package=QCSIS
Description: CRAN Package 'QCSIS' (Sure Independence Screening via Quantile Correlation andComposite Quantile Correlation)
 Quantile correlation-sure independence screening (QC-SIS) and composite
 quantile correlation-sure independence screening (CQC-SIS) for
 ultrahigh-dimensional data.

Package: r-cran-qcv
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qcv_1.0-1.ca2004.1_all.deb
Size: 32180
MD5sum: 617c08422123a8fffa90b126e4f3ced1
SHA1: ef693257c1a78b8d0290405ba3687811fe471d56
SHA256: da5e084c88d52ce6d249b595c0160ceb9b0ee496cbfe904d663990139957b137
SHA512: 055a3b2229558ff3b8eb463d15689960071b733b4c57f2b76b1c130de102e00535f5e8b33057482c1f8a57f544439ed148497fb06d87ae8e371a4c0eaba7a1a6
Homepage: https://cran.r-project.org/package=qcv
Description: CRAN Package 'qcv' (Quantifying Construct Validity)
 Primarily, the 'qcv' package computes key indices related to the Quantifying
 Construct Validity procedure (QCV; Westen & Rosenthal, 2003
 <doi:10.1037/0022-3514.84.3.608>; see also Furr & Heuckeroth, in press). The
 qcv() function is the heart of the 'qcv' package, but additional functions
 in the package provide useful ancillary information related to the QCV
 procedure.

Package: r-cran-qdap
Architecture: all
Version: 2.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4077
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qdapdictionaries, r-cran-qdapregex, r-cran-qdaptools, r-cran-rcolorbrewer, r-cran-chron, r-cran-dplyr, r-cran-gender, r-cran-ggplot2, r-cran-gridextra, r-cran-igraph, r-cran-nlp, r-cran-opennlp, r-cran-openxlsx, r-cran-plotrix, r-cran-rcurl, r-cran-reshape2, r-cran-scales, r-cran-stringdist, r-cran-tidyr, r-cran-tm, r-cran-venneuler, r-cran-wordcloud, r-cran-xml
Suggests: r-cran-korpus, r-cran-knitr, r-cran-lda, r-cran-proxy, r-cran-stringi, r-cran-snowballc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qdap_2.4.6-1.ca2004.1_all.deb
Size: 3520320
MD5sum: c4c706150fcebc753a5e6e4765670325
SHA1: c67375cd7f87c09ae4ffe6d3954136655a5f544e
SHA256: 11248789eeba21ffe0cf559f0ac664cf1fab5a6625ff466f592c9226ba923951
SHA512: 0be8d0e277e76903698e51257480ea7cc4ebd988e2982a9dadd6f0833d459ad65db54dcdd79b26c200da3c0b58b58a0d77d9dc629d06c9db58c5eeccaa9d7d64
Homepage: https://cran.r-project.org/package=qdap
Description: CRAN Package 'qdap' (Bridging the Gap Between Qualitative Data and QuantitativeAnalysis)
 Automates many of the tasks associated with quantitative discourse analysis
 of transcripts containing discourse including frequency counts of sentence
 types, words, sentences, turns of talk, syllables and other assorted
 analysis tasks. The package provides parsing tools for preparing transcript
 data. Many functions enable the user to aggregate data by any number of
 grouping variables, providing analysis and seamless integration with other R
 packages that undertake higher level analysis and visualization of text.
 This affords the user a more efficient and targeted analysis. 'qdap' is
 designed for transcript analysis, however, many functions are applicable to
 other areas of Text Mining/ Natural Language Processing.

Package: r-cran-qdapdictionaries
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2224
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qdapdictionaries_1.0.7-1.ca2004.1_all.deb
Size: 2136460
MD5sum: 09fbc44ca820632ae072b96e30d308c6
SHA1: 06c8b8cd3697a2c81f109a65f3c6a9ca2340788b
SHA256: aaa434d0c84e555e61e933058c718a15c926a847d19d498b727179d39e655af9
SHA512: 8de7c1855aac98fb8cb9f6ed1a26d62b99f392754f0a5bc4cbb3ded169b4d973f11a65cfa3cd4ef6958d70dbf6985bf32a4218d257172aaa4dd7724078ef3217
Homepage: https://cran.r-project.org/package=qdapDictionaries
Description: CRAN Package 'qdapDictionaries' (Dictionaries and Word Lists for the 'qdap' Package)
 A collection of text analysis dictionaries and word lists for use with the
 'qdap' package.

Package: r-cran-qdapregex
Architecture: all
Version: 0.7.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qdapregex_0.7.10-1.ca2004.1_all.deb
Size: 366360
MD5sum: 8bf93c155e52757a0120c70dc3ceb5fa
SHA1: f697b447cf3bb7e1112448f1ceabcc6d672c1f9b
SHA256: a01b69a35e8dbc23f7eb8d12bc89244ddd0fd1ba550ac51844def3df6aa798db
SHA512: ac9afa9e559190d5a68d405e363ddb9bb5f64a36157ff8c6b88884f0039119e40b0275341c691a8b86b4f0ccde19fb40939ac4229b6ca1eb634745f0b335ae53
Homepage: https://cran.r-project.org/package=qdapRegex
Description: CRAN Package 'qdapRegex' (Regular Expression Removal, Extraction, and Replacement Tools)
 A collection of regular expression tools associated with the 'qdap' package
 that may be useful outside of the context of discourse analysis. Tools
 include removal/extraction/replacement of abbreviations, dates, dollar
 amounts, email addresses, hash tags, numbers, percentages, citations, person
 tags, phone numbers, times, and zip codes.

Package: r-cran-qdaptools
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-chron, r-cran-data.table, r-cran-rcurl, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qdaptools_1.3.7-1.ca2004.1_all.deb
Size: 131148
MD5sum: e41b1540ad3933eb72329a227669682c
SHA1: 7e0c9816c528d78d5db46b2162d8a232abe8c78a
SHA256: 31ac6dd8d3292f103dcaf34eea9a461445fcc34ac536a960aeafeab7d1db63b2
SHA512: b1a4df5949a5526aad2d506a242faa95646188173391c84555c3b0b7665c655bbed7b894fb75df261c515afe6e1b94d8412de2d77d6b410105002d9653c931ec
Homepage: https://cran.r-project.org/package=qdapTools
Description: CRAN Package 'qdapTools' (Tools for the 'qdap' Package)
 A collection of tools associated with the 'qdap' package that may be useful
 outside of the context of text analysis.

Package: r-cran-qdcomparison
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qdcomparison_3.0-1.ca2004.1_all.deb
Size: 64668
MD5sum: be0495c23425aa9b35353ab3d48314ec
SHA1: 665a1c06c72a8634d6129822ce0304b5cc3b01d7
SHA256: 06faffd7cc06cd05705766c2cc6b44d41b62633d06877b3084bdc85a7cbf0f5d
SHA512: c6802d82717b5de13f4e69ac4c80ed8e5ea595af32cec51b7c2e60d2828eeff7592568993f6245a6b5f412862892650acc7aeac555bf7e2c845de117d4269dc1
Homepage: https://cran.r-project.org/package=QDComparison
Description: CRAN Package 'QDComparison' (Modern Nonparametric Tools for Two-Sample Quantile andDistribution Comparisons)
 Allows practitioners to determine (i) if two univariate distributions (which
 can be continuous, discrete, or even mixed) are equal, (ii) how two
 distributions differ (shape differences, e.g., location, scale, etc.), and
 (iii) where two distributions differ (at which quantiles), all using
 nonparametric LP statistics. The primary reference is Jungreis, D. (2019,
 Technical Report).

Package: r-cran-qdiabetes
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4467
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-qdiabetes_1.0-2-1.ca2004.1_all.deb
Size: 4464024
MD5sum: c7e78dd5f7c8ad3277462059c9620789
SHA1: 54c2c3ce243011a3c5b953d89a34561898f61101
SHA256: 7553465a0d1d01d3850b969640822b6f87501f718e7a409109245c824b468303
SHA512: 1cfc5e97868a0c21e96ed61b56cd0a870922fb37a24c15b1a6e24b1cad9450d9449c743fce6d96e85ed44541ad75c85180005081b11c416bd0840634093bf20c
Homepage: https://cran.r-project.org/package=QDiabetes
Description: CRAN Package 'QDiabetes' (Type 2 Diabetes Risk Calculator)
 Calculate the risk of developing type 2 diabetes using risk prediction
 algorithms derived by 'ClinRisk'.

Package: r-cran-qdm
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 795
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qdm_0.1-0-1.ca2004.1_all.deb
Size: 782160
MD5sum: a71d45a099e1706664f01fee2684cdc1
SHA1: 20d002cda808ca6a81741e0f674f33cfdfdd37db
SHA256: f081c16fa81cfbc4d8b24bdc377f9cafff3a3ddc8a9ca73d5c2542e3b566fe20
SHA512: da67d688c329dbbde17d8aa14fe1375744753d6982580cad0826d39ffdb0e6634445a7371cc58f91b903ed5477113e7b90ae11007dc91337bee0ca23aecbe406
Homepage: https://cran.r-project.org/package=qdm
Description: CRAN Package 'qdm' (Fitting a Quadrilateral Dissimilarity Model to Same-DifferentJudgments)
 This package provides different specifications of a Quadrilateral
 Dissimilarity Model which can be used to fit same-different judgments in
 order to get a predicted matrix that satisfies regular minimality [Colonius
 & Dzhafarov, 2006, Measurement and representations of sensations, Erlbaum].
 From such a matrix, Fechnerian distances can be computed.

Package: r-cran-qeml
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3781
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-regtools, r-cran-gtools, r-cran-rmarkdown, r-cran-tufte, r-cran-grf, r-cran-gbm, r-cran-toweranna, r-cran-tm, r-cran-rpart, r-cran-rpart.plot, r-cran-partools, r-cran-foci
Suggests: r-cran-knitr, r-cran-partykit, r-cran-randomforest, r-cran-ranger, r-cran-e1071, r-cran-jousboost, r-cran-lightgbm, r-cran-keras, r-cran-neuralnet, r-cran-polyreg, r-cran-glmnet, r-cran-umap, r-cran-reticulate, r-cran-party, r-cran-proc, r-cran-xgboost, r-cran-rocr, r-cran-autoimage, r-cran-deepnet, r-cran-ncvreg, r-cran-uwot, r-cran-cdparcoord
Filename: pool/dists/focal/main/r-cran-qeml_1.1-1.ca2004.1_all.deb
Size: 1733040
MD5sum: 7f2842c38bd2adc39a28cfb1516b923e
SHA1: e8a721fd4af383da8728c6a2bbada8d4720bfe8b
SHA256: ba8857f29f3482ced1e5d13df6f6cff7cfee6faf29475a218e6c8e249dc196b1
SHA512: 8a069fe7c41421df325cd9450bff37d88208afb2141698bcfa4e8d0461506761bce2bdc471c1bdc123d2855e4bb271afa0d2cd6e8c32b7571469a6ad3d56e33d
Homepage: https://cran.r-project.org/package=qeML
Description: CRAN Package 'qeML' (Quick and Easy Machine Learning Tools)
 The letters 'qe' in the package title stand for "quick and easy," alluding
 to the convenience goal of the package. We bring together a variety of
 machine learning (ML) tools from standard R packages, providing wrappers
 with a simple, convenient, and uniform interface.

Package: r-cran-qfasar
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qfasar_1.2.1-1.ca2004.1_all.deb
Size: 274672
MD5sum: 14665ad687d0b1edd1dbe8d641cc4db2
SHA1: fb9b945bc5a8aca2467c403374e924dacce85da8
SHA256: f29b198eb1c6c791081a553142bed3fa5118b419a449dae0510de07b6ba84d99
SHA512: 6cd7b650dc313dd5ca89d0ebae45b1b2662efca86de2d4f77186ad46898d90df340aa81d6eccaaf99d8fa1d9f74b30869d8e6647a6670606a95e1b4310b951a2
Homepage: https://cran.r-project.org/package=qfasar
Description: CRAN Package 'qfasar' (Quantitative Fatty Acid Signature Analysis in R)
 An implementation of Quantitative Fatty Acid Signature Analysis (QFASA) in
 R.  QFASA is a method of estimating the diet composition of predators.  The
 fundamental unit of information in QFASA is a fatty acid signature
 (signature), which is a vector of proportions describing the composition of
 fatty acids within lipids.  Signature data from at least one predator and
 from samples of all potential prey types are required.  Calibration
 coefficients, which adjust for the differential metabolism of individual
 fatty acids by predators, are also required. Given those data inputs, a
 predator signature is modeled as a mixture of prey signatures and its diet
 estimate is obtained as the mixture that minimizes a measure of distance
 between the observed and modeled signatures.  A variety of estimation
 options and simulation capabilities are implemented.  Please refer to the
 vignette for additional details and references.

Package: r-cran-qfrm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qfrm_1.0.1-1.ca2004.1_all.deb
Size: 240756
MD5sum: 5af0e5762eb641e7566203fa5a5218f0
SHA1: 3ab66cd9b6f22830e70bbf043697628b6917af4d
SHA256: ff5c8991f90060995225809d9ef80611896c16af173fd9e534cbf6f11efcdfc0
SHA512: 1ce5d7bbe1e9daaf5fb801180c6a47e0711af005b00c9afeba591dccbb2dea64a8ee2a92bdf1ad6e9e03ded19b9c466bf331deeabea752f827b881e283a458e6
Homepage: https://cran.r-project.org/package=QFRM
Description: CRAN Package 'QFRM' (Pricing of Vanilla and Exotic Option Contracts)
 Option pricing (financial derivatives) techniques mainly following textbook
 'Options, Futures and Other Derivatives', 9ed by John C.Hull, 2014. Prentice
 Hall. Implementations are via binomial tree option model (BOPM),
 Black-Scholes model, Monte Carlo simulations, etc.  This package is a result
 of Quantitative Financial Risk Management course (STAT 449 and STAT 649) at
 Rice University, Houston, TX, USA, taught by Oleg Melnikov, statistics PhD
 student, as of Spring 2015.

Package: r-cran-qga
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1375
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-qga_1.0-1.ca2004.1_all.deb
Size: 423052
MD5sum: cab116b68eee28f02b3e0359518977ac
SHA1: 25bae4d692606811ea8e19ec7a6b0da649b92c64
SHA256: e7398a3c41ff0379dddbbb41b4791191e3983f635deaf1c01feef4a2b0474c85
SHA512: 1903287406a807f1899035d086f5cb3dd45d4a5a355212d0231b3a4d809c5d033064a79f0bfea38be6541aee0595c6f39fedd4069d3fae55d32a51c7f05af5a4
Homepage: https://cran.r-project.org/package=QGA
Description: CRAN Package 'QGA' (Quantum Genetic Algorithm)
 Function that implements the Quantum Genetic Algorithm, first proposed by
 Han and Kim in 2000. This is an R implementation of the 'python' application
 developed by Lahoz-Beltra
 (<https://github.com/ResearchCodesHub/QuantumGeneticAlgorithms>). Each
 optimization problem is represented as a maximization one, where each
 solution is a sequence of (qu)bits. Following the quantum paradigm, these
 qubits are in a superposition state: when measuring them, they collapse in a
 0 or 1 state. After measurement, the fitness of the solution is calculated
 as in usual genetic algorithms. The evolution at each iteration is oriented
 by the application of two quantum gates to the amplitudes of the qubits: (1)
 a rotation gate (always); (2) a Pauli-X gate (optionally). The rotation is
 based on the theta angle values: higher values allow a quicker evolution,
 and lower values avoid local maxima. The Pauli-X gate is equivalent to the
 classical mutation operator and determines the swap between alfa and beta
 amplitudes of a given qubit. The package has been developed in such a way as
 to permit a complete separation between the engine, and the particular
 problem subject to combinatorial optimization.

Package: r-cran-qgametheory
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-qgametheory_0.1.2-1.ca2004.1_all.deb
Size: 148228
MD5sum: 83a7f6d760c2e32cbf324e1fda0053de
SHA1: 7932620a803d50412ce16f7b5a49c49563aef814
SHA256: 95111ef85c474195132d505e61522ef378e2a2b3cacd5717bc4cadb15bd87375
SHA512: ae37d874c4c2d04a53f383f9860b0b38777c81fa627cda3b2e03006e2ffa13aaaf14b65bba857936bb31215cc90ca225c75347b08b4673ed84d7587f11e47c9c
Homepage: https://cran.r-project.org/package=QGameTheory
Description: CRAN Package 'QGameTheory' (Quantum Game Theory Simulator)
 General purpose toolbox for simulating quantum versions of game theoretic
 models (Flitney and Abbott 2002) <arXiv:quant-ph/0208069>. Quantum (Nielsen
 and Chuang 2010, ISBN:978-1-107-00217-3) versions of models that have been
 handled are: Penny Flip Game (David A. Meyer 1998) <arXiv:quant-ph/9804010>,
 Prisoner's Dilemma (J. Orlin Grabbe 2005) <arXiv:quant-ph/0506219>, Two
 Person Duel (Flitney and Abbott 2004) <arXiv:quant-ph/0305058>, Battle of
 the Sexes (Nawaz and Toor 2004) <arXiv:quant-ph/0110096>, Hawk and Dove Game
 (Nawaz and Toor 2010) <arXiv:quant-ph/0108075>, Newcomb's Paradox
 (Piotrowski and Sladkowski 2002) <arXiv:quant-ph/0202074> and Monty Hall
 Problem (Flitney and Abbott 2002) <arXiv:quant-ph/0109035>.

Package: r-cran-qgcomp
Architecture: all
Version: 2.18.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1869
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aer, r-cran-arm, r-cran-future, r-cran-future.apply, r-cran-generics, r-cran-ggplot2, r-cran-gridextra, r-cran-nnet, r-cran-numderiv, r-cran-pscl, r-cran-rootsolve, r-cran-survival, r-cran-tibble
Suggests: r-cran-broom, r-cran-devtools, r-cran-knitr, r-cran-markdown, r-cran-mass, r-cran-mice
Filename: pool/dists/focal/main/r-cran-qgcomp_2.18.4-1.ca2004.1_all.deb
Size: 1315604
MD5sum: 68111fe2561f377da0b15558dc66ae68
SHA1: 76637ec4ab163fae19f7eccd9a2edb73f436a46b
SHA256: 84dfaad0525c130af65f0e28b729b30c828a9a7a647175022f70bae6020e10a3
SHA512: b259abca1ecd2dbaf75b7fac3b3a21d7773aab7effd0d6abd1676274fb09528713b070df5d67a13296a071072bcd2b090884971ec2b34c812ca09c51a85ebd33
Homepage: https://cran.r-project.org/package=qgcomp
Description: CRAN Package 'qgcomp' (Quantile G-Computation)
 G-computation for a set of time-fixed exposures with quantile-based basis
 functions, possibly under linearity and homogeneity assumptions. This
 approach estimates a regression line corresponding to the expected change in
 the outcome (on the link basis) given a simultaneous increase in the
 quantile-based category for all exposures. Works with continuous, binary,
 and right-censored time-to-event outcomes.  Reference: Alexander P. Keil,
 Jessie P.  Buckley, Katie M. OBrien, Kelly K. Ferguson, Shanshan Zhao, and
 Alexandra J. White (2019) A quantile-based g-computation approach to
 addressing the effects of exposure mixtures; <doi:10.1289/EHP5838>.

Package: r-cran-qgcompint
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 828
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qgcomp, r-cran-arm, r-cran-survival, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-gridextra, r-cran-rootsolve, r-cran-numderiv, r-cran-mass
Suggests: r-cran-knitr, r-cran-markdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-qgcompint_1.0.0-1.ca2004.1_all.deb
Size: 511460
MD5sum: fd4f4613a71f419273686cd2df9e6a7b
SHA1: 5e5d7ef3ac21fbf19b85969721fcdd5ece364800
SHA256: 210bb95b7fc11b821fda9098f782702c64ec2dcf6f0272983c7d73df306bef2c
SHA512: f90e4dece9ab8f2f679bc5665af8cb164fb8c179e6f6894f09445f137933c29f19f81f109ce88aa3d4e75ef3a20e13273f0a1112f6df230b368036b765e2fa2d
Homepage: https://cran.r-project.org/package=qgcompint
Description: CRAN Package 'qgcompint' (Quantile G-Computation Extensions for Effect MeasureModification)
 G-computation for a set of time-fixed exposures with quantile-based basis
 functions, possibly under linearity and homogeneity assumptions. Effect
 measure modification in this method is a way to assess how the effect of the
 mixture varies by a binary, categorical or continuous variable.  Reference:
 Alexander P. Keil, Jessie P.  Buckley, Katie M. OBrien, Kelly K. Ferguson,
 Shanshan Zhao, and Alexandra J. White (2019) A quantile-based g-computation
 approach to addressing the effects of exposure mixtures;
 <doi:10.1289/EHP5838>.

Package: r-cran-qgglmm
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 552
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-qgglmm_0.8.0-1.ca2004.1_all.deb
Size: 464288
MD5sum: 20c41ebf4227fc51e50bdfb9b929db91
SHA1: dc45f858f956054d9b097ce298449a989d5ac066
SHA256: 862d5679037244922303662c09c4283fb3bef72e727f2bc2cd884ef6973f08f8
SHA512: a8d855271e1e6faa63b0a495a344fab46b41201fef118e3ea0efe10581a64bc2e3d71481e6c27ef77ed75ba26bfe55135a7c6661722d32782179ff33faae0612
Homepage: https://cran.r-project.org/package=QGglmm
Description: CRAN Package 'QGglmm' (Estimate Quantitative Genetics Parameters from GeneralisedLinear Mixed Models)
 Compute various quantitative genetics parameters from a Generalised Linear
 Mixed Model (GLMM) estimates. Especially, it yields the observed phenotypic
 mean, phenotypic variance and additive genetic variance.

Package: r-cran-qgisprocess
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4608
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-glue, r-cran-jsonlite, r-cran-processx, r-cran-rappdirs, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-mapview, r-cran-raster, r-cran-rmarkdown, r-cran-rprojroot, r-cran-sf, r-cran-stars, r-cran-stringi, r-cran-terra, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-qgisprocess_0.4.1-1.ca2004.1_all.deb
Size: 2570084
MD5sum: 5e26e02c3319c6cf360336a95e033359
SHA1: 60471a81eb445a554f88724bf29f0d0030376ae6
SHA256: 6dd4c56bbe0940cf610a0be2fab62f03725d13a264cf535f348bc3aea82937c4
SHA512: 085915b0189b45cb2ad176fd122e7bc68b75df9f621393f306bd508b12174913688435d92419535776b45c150c8e15053d707f6c438f258a4cf3174e0018701c
Homepage: https://cran.r-project.org/package=qgisprocess
Description: CRAN Package 'qgisprocess' (Use 'QGIS' Processing Algorithms)
 Provides seamless access to the 'QGIS' (<https://qgis.org>) processing
 toolbox using the standalone 'qgis_process' command-line utility.  Both
 native and third-party (plugin) processing providers are supported.  Beside
 referring data sources from file, also common objects from 'sf', 'terra' and
 'stars' are supported. The native processing algorithms are documented by
 QGIS.org (2024)
 <https://docs.qgis.org/latest/en/docs/user_manual/processing_algs/>.

Package: r-cran-qgshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 802
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qgshiny_0.1.0-1.ca2004.1_all.deb
Size: 225420
MD5sum: 3297713eba5f448e136b515d9bdf495a
SHA1: 32defa92626903ef9e425879754cb21520748499
SHA256: dbdeb471129b929397fb35d0f1c3e1159daca6ee427c0fb16d69a7ed4f581f9e
SHA512: eee96cef6dc27f04f125ee123560713e521e33f45fc7e75120d2becdc664dffb5aaf3924af01dc899a5d5f60edcefd7f4c7b069ec0ba9a024e30546200097d7a
Homepage: https://cran.r-project.org/package=qgshiny
Description: CRAN Package 'qgshiny' (A 'shiny' Application for Active Learning Instruction inIntroductory Quantitative Genetics)
 A 'shiny' application for teaching introductory quantitative genetics and
 plant breeding through interactive simulations. The application relies on
 established plant breeding and quantitative genetic theory found in Falconer
 and Mackay (1996, ISBN:0582243025) and Bernardo (2010, ISBN:978-0972072427).

Package: r-cran-qgtools
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 510
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qgtools_2.0-1.ca2004.1_all.deb
Size: 461684
MD5sum: 475a68e68e2040e9c5cb02288cba3302
SHA1: fdd679cf2b46457675f3d359aab2467dd4841921
SHA256: 09a16e449fff079effa866d991a69fc73d9b2801faf4407b7e1cbb9083cb1962
SHA512: dc508f5bef073574713a21fb10f224732eb82d94d91c72d16685dd7c710d2bb36ee526b10f16b31641f9714bc4893704573ddd36e6ec51b6fa3cba1909b409f4
Homepage: https://cran.r-project.org/package=qgtools
Description: CRAN Package 'qgtools' (Generalized Quantitative Genetics Data Analyses)
 Two linear mixed model approaches: REML(restricted maximum likelihood) and
 MINQUE (minimum norm quadratic unbiased estimation) approaches and several
 resampling techniques are integrated for various quantitative genetics
 analyses. With these two types of approaches, various unbalanced data
 structures, missing data, and any irregular genetic mating designs can be
 analyzed and statistically tested. This package also offers fast
 computations for many large data sets.

Package: r-cran-qha
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-factoclass, r-cran-factominer
Filename: pool/dists/focal/main/r-cran-qha_0.0.8-1.ca2004.1_all.deb
Size: 128320
MD5sum: d0cc01c632d32b0516414c90a71ce815
SHA1: 644af19e6fd416cb34deb0048915328b734eb1ab
SHA256: 73e67a4a5a8a0d3c1f5dce6412e7084d3d2d613b824d7b14c64ce31170ed003f
SHA512: 5c6681095aa1cb7fb42d4c6e258b6da7705c2ab3d657ed87ae75fe4c66cb7013373363b2c5620e9e5ff7c92a5c3a7bd55a025a88d3bfa28bee51fae5cd46566b
Homepage: https://cran.r-project.org/package=qha
Description: CRAN Package 'qha' (Qualitative Harmonic Analysis)
 Multivariate description of the state changes of a qualitative variable by
 Correspondence Analysis and Clustering. See: Deville, J.C., & Saporta, G.
 (1983).  Correspondence analysis, with an extension towards nominal time
 series.  Journal of econometrics, 22(1-2), 169-189.  Corrales, M.L., &
 Pardo, C.E. (2015) <doi:10.15332/s2027-3355.2015.0001.01>.  Analisis de
 datos longitudinales cualitativos con analisis de correspondencias y
 clasificacion.  Comunicaciones en Estadistica, 8(1), 11-32.

Package: r-cran-qhot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qhot_0.1.0-1.ca2004.1_all.deb
Size: 32032
MD5sum: 07c7f7c560e51d5be86a737d41558b4e
SHA1: 872c37d1893410be5d4536240e76442a54ccacb0
SHA256: 1d570e87fc5b2bd771e9ab6abc0e009ec9f733fc06e0a1e88d2533f3bc2fd941
SHA512: 4522075c95987e3cd1fe3e13479b2f53b956c034b5dc67f54de2e39846d62e657b9ace1592cf365b720bfdf392633f61b3f5150298256e806e2e6c08f5de61a6
Homepage: https://cran.r-project.org/package=QHOT
Description: CRAN Package 'QHOT' (QTL Hotspot Detection)
 This function produces both the numerical and graphical summaries of the QTL
 hotspot detection in the genomes that are available on the worldwide web
 including the flanking markers of QTLs.

Package: r-cran-qi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-qi_0.1.0-1.ca2004.1_all.deb
Size: 22612
MD5sum: d81d926c06daa166fc8a2949feae0bf2
SHA1: f1f6a4217fb1fdd871f50afec1d1f49641b96610
SHA256: 198c46966288ad51af42c0a4a2eee43395b0236bdeabd09c3b2c480808046c75
SHA512: aad23c60bc39134ee7d7eeccbca9bf9e5f2a1a24b379ed3f0acfda385c594a4243aa2988a33a2f6fcd038e13decd2c4606ea3414cc9244fb1c970e9916371812
Homepage: https://cran.r-project.org/package=QI
Description: CRAN Package 'QI' (Quantity-Intensity Relationship of Soil Potassium)
 The quantity-intensity (Q/I) relationships, first introduced by Beckett
 (1964), can be employed to assess the K supplying capacity of different
 soils based on solid-solution exchange equilibria. Such relationships
 describe the changes in K+ concentration in the soil solution (or the
 intensity factor) in relation to the corresponding changes in K+ at exchange
 sites of the soil (or the capacity or quantity factor). Activity ratio of K
 to Ca or Ca+Mg is generally used as the variable denoting the intensity,
 whereas, change in exchangeable K is used to denote the quantity factor.

Package: r-cran-qicharts2
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1528
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-qicharts2_0.8.1-1.ca2004.1_all.deb
Size: 1053064
MD5sum: 111adfa4bad031faf3c6547dda59da39
SHA1: e94eb44815576dc72a38502f5feee212c241c30f
SHA256: b051cc8b0996eb1e2d419e48f801d1b1f5e3d54afb52db5bfeede5e3ffb01fb8
SHA512: 3d20d462cdd04fb10c8a4dc9da0088f233f391cb5010979f432bfbbb4f9142465b62ab79be98b2a9390537f033be0c925ad785e6dc3a5b3942d6b6c92b041aaa
Homepage: https://cran.r-project.org/package=qicharts2
Description: CRAN Package 'qicharts2' (Quality Improvement Charts)
 Functions for making run charts, Shewhart control charts and Pareto charts
 for continuous quality improvement. Included control charts are: I, MR,
 Xbar, S, T, C, U, U', P, P', and G charts. Non-random variation in the form
 of minor to moderate persistent shifts in data over time is identified by
 the Anhoej rules for unusually long runs and unusually few crossing [Anhoej,
 Olesen (2014) <doi:10.1371/journal.pone.0113825>].  Non-random variation in
 the form of larger, possibly transient, shifts is identified by Shewhart's
 3-sigma rule [Mohammed, Worthington, Woodall (2008)
 <doi:10.1136/qshc.2004.012047>].

Package: r-cran-qicharts
Architecture: all
Version: 0.5.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 993
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-scales, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qicharts_0.5.10-1.ca2004.1_all.deb
Size: 688832
MD5sum: caa2c0e29ac8e2d69666769da90c32da
SHA1: e6891b7ebfafa5818b938c68380a730c293136aa
SHA256: c148d2ccde9f107bd498fc9b9130a77001a7855f2c14bc6fadcf7276bb7c194c
SHA512: 3fa5bd6532fe3ef3e8e20eeff4a9993485c84e00b44bbc2d24a69234064ea9d89f5fd983896a20a4bce106416bf926157fa1b9f07b01451e69f274ee7e76e7f7
Homepage: https://cran.r-project.org/package=qicharts
Description: CRAN Package 'qicharts' (Quality Improvement Charts)
 Functions for making run charts [Anhoej, Olesen (2014)
 <doi:10.1371/journal.pone.0113825>] and basic Shewhart control charts
 [Mohammed, Worthington, Woodall (2008) <doi:10.1136/qshc.2004.012047>] for
 measure and count data.  The main function, qic(), creates run and control
 charts and has a simple interface with a rich set of options to control data
 analysis and plotting, including options for automatic data aggregation by
 subgroups, easy analysis of before-and-after data, exclusion of one or more
 data points from analysis, and splitting charts into sequential time
 periods.  Missing values and empty subgroups are handled gracefully.

Package: r-cran-qiitr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qiitr_0.1.1-1.ca2004.1_all.deb
Size: 51932
MD5sum: fdb4013c0625ad0645a36c7f4efe61c3
SHA1: 1e0a9c16fe0a795c93ab1b1114fae8c1438a3dc1
SHA256: 70d491e8546cb7d7448f6bb2dd169d83f21c1024620eed07132d7431a62d57d8
SHA512: c26798a58cdc95b00cad309311595d9323bd191994c15ae2dd30c7557a315cc008ab9a02ac56c54cf7489fd6625fb0daaf37727ea990d316f69bf722616ff405
Homepage: https://cran.r-project.org/package=qiitr
Description: CRAN Package 'qiitr' (R Interface to Qiita API)
 Qiita is a technical knowledge sharing and collaboration platform for
 programmers.  See <https://qiita.com/api/v2/docs> for more information.

Package: r-cran-qindex.data
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2587
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-qindex.data_0.1.3-1.ca2004.1_all.deb
Size: 2614240
MD5sum: 4e90f3ff0ca4a3ac5fc764cbf8b59b33
SHA1: 4908bad12f6c2b77951f945ea51aa047838633ba
SHA256: 017206d6ed829d0ebd3056524621d1b5d0bd2a4127a1a09edd74d21dd860b06e
SHA512: 9acc15a465005f74c4ecd7cce3706ff013b4f49c48c9d80c5861c41cfd0ecc3b74949f0ccf2bb5a69278fb275740b59702d16501c791cc0fcd5058aa98fa0bfc
Homepage: https://cran.r-project.org/package=Qindex.data
Description: CRAN Package 'Qindex.data' (Data for Package 'Qindex')
 Example data used in package 'Qindex'.

Package: r-cran-qindex
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-mgcv, r-cran-plotly, r-cran-rpart, r-cran-survival
Suggests: r-cran-knitr, r-cran-boot, r-cran-htmlwidgets, r-cran-qindex.data
Filename: pool/dists/focal/main/r-cran-qindex_0.1.7-1.ca2004.1_all.deb
Size: 255152
MD5sum: 600db4b037f1c8ecaddbb6a652aff993
SHA1: 6b30c29ab210a558fa2d9a8c75ccee80f0a60068
SHA256: 50cbd3efa4cc7a3ea9552e90ad50f4def5f78eafe9c4d06b5b06e02294fe3666
SHA512: dc35d01531563fcb97f361b9d38d35b0216d3213c85d5902115c50aff2efadda254e67beea52bc4ce7324f51df982c2991ef2668d52b925a326617f5d10d4985
Homepage: https://cran.r-project.org/package=Qindex
Description: CRAN Package 'Qindex' (Continuous and Dichotomized Index Predictors Based onDistribution Quantiles)
 Select optimal functional regression or dichotomized quantile predictors for
 survival/logistic/numeric outcome and perform optimistic bias correction for
 any optimally dichotomized numeric predictor(s), as in Yi, et. al.  (2023)
 <doi:10.1016/j.labinv.2023.100158>.

Package: r-cran-qkerntool
Architecture: all
Version: 1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-class
Filename: pool/dists/focal/main/r-cran-qkerntool_1.19-1.ca2004.1_all.deb
Size: 714192
MD5sum: b773e5452c22f0b29692643e352eaaab
SHA1: 8fa0ff15d303cd09c46cd2f9ccb4a0793237bcb4
SHA256: 6ade662bbce46eaa8b545402f7f04074e9cde23a0e9f6a8fa46321adb6fc562d
SHA512: fdd6b29488a6f7c0284666f8d1fc7ba0f2ed0e81b39ab9f30e3b517e5e0400cf29725efcb1086d8e2de5b6d1bd06e01faaffdab08625cf92698da322459c6577
Homepage: https://cran.r-project.org/package=qkerntool
Description: CRAN Package 'qkerntool' (Q-Kernel-Based and Conditionally Negative Definite Kernel-BasedMachine Learning Tools)
 Nonlinear machine learning tool for classification, clustering and
 dimensionality reduction. It integrates 12 q-kernel functions and 15
 conditional negative definite kernel functions and includes the q-kernel and
 conditional negative definite kernel version of density-based spatial
 clustering of applications with noise, spectral clustering, generalized
 discriminant analysis, principal component analysis, multidimensional
 scaling, locally linear embedding, sammon's mapping and t-Distributed
 stochastic neighbor embedding.

Package: r-cran-qlcdata
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 848
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi, r-cran-yaml, r-cran-shiny, r-cran-docopt, r-cran-data.tree, r-cran-phytools, r-cran-ape
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-qlcdata_0.3-1.ca2004.1_all.deb
Size: 708104
MD5sum: f18271317019fde48d057108ddf99af7
SHA1: f32e826266fe1400f6bebfce23dd57804a7f8636
SHA256: 9e27f4de550e05216d84f965eec4b6c10e58a03a059d451eee484b150b8661b7
SHA512: 08eefdfcb9a0a97ceec18ac3f84cfbb2ffa8e0c02f4797e32ffb2094aceed70e4122a5bba5092ceac50cfed9bcfb290f8878f433276c33c29015f37a4b92a8c9
Homepage: https://cran.r-project.org/package=qlcData
Description: CRAN Package 'qlcData' (Processing Data for Quantitative Language Comparison)
 Functionality to read, recode, and transcode data as used in quantitative
 language comparison, specifically to deal with multilingual orthographic
 variation (Moran & Cysouw (2018) <doi:10.5281/zenodo.1296780>) and with the
 recoding of nominal data.

Package: r-cran-qlcmatrix
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3285
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-slam, r-cran-sparsesvd, r-cran-docopt
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qlcmatrix_0.9.8-1.ca2004.1_all.deb
Size: 3295392
MD5sum: d93a6a7c3752edd0f291961601ecf790
SHA1: 253c7bb6009ee11b4017b85b78c5e300f588a1f6
SHA256: c7591d4976283802ad1e0fcf54eeb06f603a8f85aa0beb638d7823f258478784
SHA512: d841b9c1cbaddb1e8a0a03371375afe5dc906f0eb90c125705a6ea9c0683225c58552427e453b3d2c979a4aa60406b83a00322fe6adb7d3e548130819f9f5f4d
Homepage: https://cran.r-project.org/package=qlcMatrix
Description: CRAN Package 'qlcMatrix' (Utility Sparse Matrix Functions for Quantitative LanguageComparison)
 Extension of the functionality of the 'Matrix' package for using sparse
 matrices. Some of the functions are very general, while other are highly
 specific for special data format as used for quantitative language
 comparison.

Package: r-cran-qlcvisualize
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-alphahull, r-cran-automap, r-cran-cartogramr, r-cran-concaveman, r-cran-fields, r-cran-geodata, r-cran-gstat, r-cran-mapplots, r-cran-maps, r-cran-mass, r-cran-qlcmatrix, r-cran-rspectra, r-cran-seriation, r-cran-sf, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-stars
Suggests: r-cran-rnaturalearth, r-cran-mapdata, r-cran-lingtypology
Filename: pool/dists/focal/main/r-cran-qlcvisualize_0.4-1.ca2004.1_all.deb
Size: 373352
MD5sum: cab110df8b1617cb7172cae868908283
SHA1: d8dba9295fb3ef394c65a4964cf5fc745b81ba05
SHA256: 64ffec2257e58e109bd58e90a204e38a2ddf17ee8f77e38970197ffb22bd8ee3
SHA512: 70e4d028af7c3cd45e68100ebb885db60ad5bcfe7f84da41b4202bea0f6186b5e938b756dff1c68b2f824159e66d8580bd9d7299efc37869649c7291d58a8bd8
Homepage: https://cran.r-project.org/package=qlcVisualize
Description: CRAN Package 'qlcVisualize' (Visualization for Quantitative Language Comparison)
 Collection of visualizations as used in quantitative language comparison.
 Currently implemented are visualisations dealing nominal data with multiple
 levels ("level map" and "factor map"), and assistance for making weighted
 geographical Voronoi-maps ("weighted map").

Package: r-cran-qlearn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qlearn_1.0-1.ca2004.1_all.deb
Size: 38456
MD5sum: bb48fa2c55db615bfc4acba7c22c0613
SHA1: 61b83b513671ad5a56313965ccd56d7ee1345292
SHA256: c5276aa58a4a171fe9de78011290d1697ad44441e3ec8bca95bc1e5e25a80ee5
SHA512: 63c763987504c8af193f430b132869460727ac932351c09b19632ec27272457ec305b114b9f0f34ffa201b23e7eb84abb018deae8c236a6b384e55665a9f4df8
Homepage: https://cran.r-project.org/package=qLearn
Description: CRAN Package 'qLearn' (Estimation and inference for Q-learning)
 Functions to implement Q-learning for estimating optimal dynamic treatment
 regimes from two stage sequentially randomized trials, and to perform
 inference via m-out-of-n bootstrap for parameters indexing the optimal
 regime.

Package: r-cran-qlearning
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qlearning_0.1.1-1.ca2004.1_all.deb
Size: 23216
MD5sum: dbb6840f9b702110ce6588c42ad45b93
SHA1: 1044400149a96150dd1d1c5406e0770f8d9668b4
SHA256: c6fb7b7a35a21b6eb772c8110db755a74ff061a0cd56c7d074a189dd6ebd01a6
SHA512: fffebe1eb11cbde2092315581e0893bc69f8c8e05615213778d85772d2625c52d745e2b83c33053c9d08e64e9bf4016f99c31258acd80d8203c079a808ddf851
Homepage: https://cran.r-project.org/package=QLearning
Description: CRAN Package 'QLearning' (Reinforcement Learning using the Q Learning Algorithm)
 Implements Q-Learning, a model-free form of reinforcement learning,
 described in work by Strehl, Li, Wiewiora, Langford & Littman (2006)
 <doi:10.1145/1143844.1143955>.

Package: r-cran-qlifetable
Architecture: all
Version: 0.0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4283
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-qlifetable_0.0.2-6-1.ca2004.1_all.deb
Size: 4283920
MD5sum: 7ff252af1c19decd0294ec60800ae6d6
SHA1: 7dc4386f9aeb2250ce2d6417490abd8f64bf124f
SHA256: 35db3e94ee172097658838ffe3bbe008075a06b06ffac772e8ac05ffe2c1dc35
SHA512: baec358ec2b60bbbfaaff2c753922a02756a9de062fe6fa3a20b074f3bc206521d54bc0243251fbff8928dad482e8e5865d4a7ebf0f0a4263798263cfa5be34d
Homepage: https://cran.r-project.org/package=qlifetable
Description: CRAN Package 'qlifetable' (Managing and Building of Quarterly Life Tables)
 Manages, builds and computes statistics and datasets for the construction of
 quarterly (sub-annual) life tables by exploiting micro-data from either a
 general or an insured population.  References: Pavía and Lledó (2022)
 <doi:10.1111/rssa.12769>.  Pavía and Lledó (2023) <doi:10.1017/asb.2023.16>.
 Pavía and Lledó (2025) <doi:10.1371/journal.pone.0315937>.
 Acknowledgements: The authors wish to thank Conselleria de Educación,
 Universidades y Empleo, Generalitat Valenciana (grants AICO/2021/257;
 CIAICO/2024/031), Ministerio de Ciencia e Innovación (grant
 PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización espacial e
 intra-anual de la mortalidad en España. Una herramienta automática para el
 calculo de productos de vida') for supporting this research.

Package: r-cran-qmap
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-qmap_1.0-6-1.ca2004.1_all.deb
Size: 324444
MD5sum: 8724d8ebf53a31da88af4186e384b7ab
SHA1: 75187e9c3c6665f336b5985a8d7073f9147398b2
SHA256: f637b165d965f475f087d00dc22311dee48ec74150b9a340454655dfa8458eee
SHA512: df095412f02ac43cba26c21d8a2b612fc5fd1d527c77f0a219453ba1b8953148042fbb1e5c33e1693891ed8915a4280e1c4df0201fb9989f85305aeaaed81f80
Homepage: https://cran.r-project.org/package=qmap
Description: CRAN Package 'qmap' (Statistical Transformations for Post-Processing Climate ModelOutput)
 Empirical adjustment of the distribution of variables originating from
 (regional) climate model simulations using quantile mapping.

Package: r-cran-qmethod
Architecture: all
Version: 1.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-psych, r-cran-digest, r-cran-knitr, r-cran-xtable
Suggests: r-cran-shiny, r-cran-rjson, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-qmethod_1.8.4-1.ca2004.1_all.deb
Size: 282548
MD5sum: c9e364d300f61d6816c5a8141b9ccc6b
SHA1: 5052f033f2e915ecd09749647ccad97f5d8b0665
SHA256: aa0ba02bcaa02039f0961417cb7ac96ea7083fd302e9bffb4952694e22a30236
SHA512: 74ecfc41c4c39598cc2e68d546e879cad5d8be1c3c3542b5da2309ac734289c0757bf03d4f4efd28b8a7dd5e64b949f9c5d535986746a6c93a6cd6d4ec186be4
Homepage: https://cran.r-project.org/package=qmethod
Description: CRAN Package 'qmethod' (Analysis of Subjective Perspectives Using Q Methodology)
 Analysis of Q methodology, used to identify distinct perspectives existing
 within a group.  This methodology is used across social, health and
 environmental sciences to understand diversity of attitudes, discourses, or
 decision-making styles (for more information, see <https://qmethod.org/>).
 A single function runs the full analysis. Each step can be run separately
 using the corresponding functions: for automatic flagging of Q-sorts (manual
 flagging is optional), for statement scores, for distinguishing and
 consensus statements, and for general characteristics of the factors.  The
 package allows to choose either principal components or centroid factor
 extraction, manual or automatic flagging, a number of mathematical methods
 for rotation (or none), and a number of correlation coefficients for the
 initial correlation matrix, among many other options.  Additional functions
 are available to import and export data (from raw *.CSV, 'HTMLQ' and
 'FlashQ' *.CSV, 'PQMethod' *.DAT and 'easy-htmlq' *.JSON files), to print
 and plot, to import raw data from individual *.CSV files, and to make
 printable cards.  The package also offers functions to print Q cards and to
 generate Q distributions for study administration.  See further details in
 the package documentation, and in the web pages below, which include a
 cookbook, guidelines for more advanced analysis (how to perform manual
 flagging or change the sign of factors), data management, and a graphical
 user interface (GUI) for online and offline use.

Package: r-cran-qmj
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3914
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantmod, r-cran-dplyr, r-cran-reticulate, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qmj_0.2.1-1.ca2004.1_all.deb
Size: 3900752
MD5sum: f01e68c243aa871614d64fdc911f25f7
SHA1: 4205be866e7a77c64a7887d13dcab35651eb4f3c
SHA256: 4d05c3e3bcf81cfee59b05d8c696c84d16fdf8e05e9b3948b87098bbfc7febf2
SHA512: 8f1537bf2f44e1d874c584a93223ae4be0e9fb8e3572e8662aea808ad9c3cf82694db6341295538c3ed6883bc107a287e148f912dd4a54ca30ab77e960c84ef4
Homepage: https://cran.r-project.org/package=qmj
Description: CRAN Package 'qmj' (Quality Scores for the Russell 3000)
 Produces quality scores for each of the US companies from the Russell 3000,
 following the approach described in "Quality Minus Junk" (Asness, Frazzini,
 & Pedersen, 2013)
 <http://www.aqr.com/library/working-papers/quality-minus-junk>.  The package
 includes datasets for users who wish to view the most recently uploaded
 quality scores. It also provides tools to automatically gather relevant
 financials and stock price information, allowing users to update their data
 and customize their universe for further analysis.

Package: r-cran-qmrparser
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 951
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-qmrparser_0.1.6-1.ca2004.1_all.deb
Size: 630652
MD5sum: 9a7525e1c35940ea63003c997ca706a7
SHA1: 55e8f5b22b1a3e84ef0716bee61b5d1bec6a2b68
SHA256: c459303c689dae8025da88c4b8f4ec071dad88251b396aa285953e8f8e6ac079
SHA512: 3f403eb504618c415c6dc558b5ce12598e5a1631f7b434c958f4d873b8e828d84f8748c5cd0698ff8e325825b4eb45922354cb723830a50d8c66351478d0cb2a
Homepage: https://cran.r-project.org/package=qmrparser
Description: CRAN Package 'qmrparser' (Parser Combinator in R)
 Basic functions for building parsers, with an application to PC-AXIS format
 files.

Package: r-cran-qolmiss
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-dplyr, r-cran-missmethods
Filename: pool/dists/focal/main/r-cran-qolmiss_0.1.0-1.ca2004.1_all.deb
Size: 132572
MD5sum: 46ac06afc917fc2c3aba1348591beaf7
SHA1: 3f607d0c12a21ab97388e5ab03ed13d1189caad5
SHA256: 149fb6a7f6993b2e96d6b5c2c22452f5616306b1833f8d5cadd98ff57723477e
SHA512: 0674e10d79d76434c70a5623c36a737cc7064a3ba194cb51e2378bf08189e81374b43ac3f22add1e3ced71525b77047f6979f2da3462b3ae173ef404f6dce327
Homepage: https://cran.r-project.org/package=QoLMiss
Description: CRAN Package 'QoLMiss' (Scales Score Calculation from Quality of Life Data)
 There are three functions: qol, miss_qol and miss_patient takes input of the
 data set containing the answers of QOL questionnaire. It will compute the
 three types of domain based scale scores: Global, Functional, and Symptoms.
 In case of missing data, the miss_qol and miss_patient functions will make
 the required changes and then calculate the domain-wise scale scores.
 Finally, provide an output replacing the question columns with the
 domain-based scale scores in the original data set.

Package: r-cran-qountstat
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multcomp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qountstat_0.1.1-1.ca2004.1_all.deb
Size: 98424
MD5sum: c2f849616bbff1e4c6415b9cb93f5633
SHA1: 0e930f82fbe1d37e84a75de2c6bceb46e11357e3
SHA256: c169adc739d0263fe4a359e55280abcf134180c5f317ba665d440a7b1573779e
SHA512: 3452f03433719dddf46ecf89e5e1eb5c7dda2030a84837c6b2d01431abf72d9ab615fcd5a34f73866f72a05371e44a38af5c8bae45ed3819ab0b621aeb63b649
Homepage: https://cran.r-project.org/package=qountstat
Description: CRAN Package 'qountstat' (Statistical Analysis of Count Data and Quantal Data)
 Methods for statistical analysis of count data and quantal data.  For the
 analysis of count data an implementation of the Closure Principle
 Computational Approach Test ("CPCAT") is provided (Lehmann, R et al. (2016)
 <doi:10.1007/s00477-015-1079-4>), as well as an implementation of a "Dunnett
 GLM" approach using a Quasi-Poisson regression (Hothorn, L, Kluxen, F (2020)
 <doi:10.1101/2020.01.15.907881>).  For the analysis of quantal data an
 implementation of the Closure Principle Fisher–Freeman–Halton test
 ("CPFISH") is provided (Lehmann, R et al. (2018)
 <doi:10.1007/s00477-017-1392-1>). P-values and no/lowest observed (adverse)
 effect concentration values are calculated.  All implemented methods include
 further functions to evaluate the power and the minimum detectable
 difference using a bootstrapping approach.

Package: r-cran-qpcrhelper
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rstatix, r-cran-ggpubr, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qpcrhelper_0.1.0-1.ca2004.1_all.deb
Size: 21636
MD5sum: 44dd4528aa3bf677ebf12cc059d26f1f
SHA1: 508de34750b8666724aba5add680b236d68252ec
SHA256: 33f897b60d79a7d1fc54417c585135a07269018d9b87836a84fdc19b184af5a1
SHA512: 30c52c445a9497cd48e9f7bab72134359d4f0f187918887205a1e45a5f4c79a73600963cc6efa9040ef809ae0c32e2aeae00afb9034ac011e6b3086587f69dd8
Homepage: https://cran.r-project.org/package=qPCRhelper
Description: CRAN Package 'qPCRhelper' (qPCR Ct Values to Expression Values)
 Computes normalized cycle threshold (Ct) values (delta Ct) from raw
 quantitative polymerase chain reaction (qPCR) Ct values and conducts test of
 significance using t.test(). Plots expression values based from
 log2(2^(-1*delta delta Ct)) across groups per gene of interest. Methods for
 calculation of delta delta Ct and relative expression (2^(-1*delta delta
 Ct)) values are described in: Livak & Schmittgen, (2001)
 <doi:10.1006/meth.2001.1262>.

Package: r-cran-qpcrtools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggthemes, r-cran-kableextra, r-cran-magrittr, r-cran-multcomp, r-cran-rstatix, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-qpcrtools_1.0.1-1.ca2004.1_all.deb
Size: 69904
MD5sum: 6331770d912e1a428461b0b6d47efb1d
SHA1: a3b174e009b8a97d5142c2f54133127ae1a5382e
SHA256: 18f0f9da2d0edae3a585fc327b4a5194c54786e71b1c7f4c5b3d94fff457d1a1
SHA512: 23667e7c3ae65a4b6a083e473113c0b62e5b17f275958849577747868cb9ac80bd00361b0aece7f88e1fe14cc49d43e0757bc02caaed7f2fd5d3c0f8ab9ee4a5
Homepage: https://cran.r-project.org/package=qPCRtools
Description: CRAN Package 'qPCRtools' (Tools for qPCR)
 PKG_DESC.

Package: r-cran-qploidy
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3883
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-vroom, r-cran-ggpubr, r-bioc-multtest, r-cran-vcfr, r-cran-stringr
Suggests: r-cran-covr, r-cran-spelling, r-cran-updog, r-cran-rmdformats, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qploidy_1.0.1-1.ca2004.1_all.deb
Size: 1963112
MD5sum: 077d156df9d9ec8b921796e15aac1247
SHA1: 884f4cd4a3e4b15cf3a35fd47ad904b897b41690
SHA256: aaf5c554f22d8473c47d7c5f21de63cce3914fee3ea2f14d40a1d000fd869c58
SHA512: 72b3ea049b6d7c5ab72e3f932d7d08a4ab94382cf6dcba547eecd1545b6b9aabe00db0f26486b9adce8d526bb4e6c51be6702fcf08f3179036fc228a3d601926
Homepage: https://cran.r-project.org/package=Qploidy
Description: CRAN Package 'Qploidy' (Estimation of Ploidy and Detection of Aneuploidy UsingGenotyping Data)
 Provides functions for estimating ploidy levels and detecting aneuploidy in
 individuals using allele intensities or allele count data from
 high-throughput genotyping platforms, including single nucleotide
 polymorphism (SNP) arrays and sequencing-based technologies. Implements an
 extended version of the 'PennCNV' signal standardization method by Wang et
 al. (2007) <doi:10.1101/gr.6861907> for higher ploidy levels. Computes
 B-allele frequencies (BAF), z-scores, and identifies copy number variation
 patterns.

Package: r-cran-qpmin
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-qpmin_0.5-1-1.ca2004.1_all.deb
Size: 82024
MD5sum: a9e45574301877dff12b4f87456b5ba5
SHA1: 1676daa9780413d743807d987d724918f5265794
SHA256: 859ea7334952ab883a5cb035617885b45ce934210c443e50d1c1e5a74818e1e8
SHA512: d829a207832251a89fc08fd9d6d1ab47e4e478385788b0eac2f3f5a37199ec7ce4d710b1cb3fb3c09c2a5095147eb9bdef2e1431d86f46c7f13189a515515ccf
Homepage: https://cran.r-project.org/package=QPmin
Description: CRAN Package 'QPmin' (Linearly Constrained Indefinite Quadratic Program Solver)
 Active set method solver for the solution of indefinite quadratic programs,
 subject to lower bounds on linear functions of the variables and simple
 bounds on the variables themselves. The function QPmin() implements an
 algorithm similar to the one described in Gould (1991)
 <doi:10.1093/imanum/11.3.299> with the exception that an efficient sparse
 internal representation of the basis matrix is maintained thus allowing the
 solution of somewhat large problems.

Package: r-cran-qpnca
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1787
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-magrittr, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-markdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qpnca_1.1.6-1.ca2004.1_all.deb
Size: 882308
MD5sum: 25fae6f6201dc1ad197cd422be652c33
SHA1: 2c2de8342baf3d7834dc55829d378d267acdf3cf
SHA256: 7e31d0a6a93564fcd082be93aa463194c7b45c3f5e4796ab3b18ec45246f18e7
SHA512: 4bbd04c22fb7cb18f0efa4be7cbf1f203cef6e4162456526b09c4831569d8ca6551d05ae8c12124142e34c2639e580ec0ac6b08342f7faba8918e9f7f330d1ab
Homepage: https://cran.r-project.org/package=qpNCA
Description: CRAN Package 'qpNCA' (Noncompartmental Pharmacokinetic Analysis by qPharmetra)
 Computes noncompartmental pharmacokinetic parameters for drug concentration
 profiles.  For each profile, data imputations and adjustments are made as
 necessary and basic parameters are estimated. Supports single dose,
 multi-dose, and multi-subject data.  Supports steady-state calculations and
 various routes of drug administration. See ?qpNCA and vignettes.
 Methodology follows Rowland and Tozer (2011, ISBN:978-0-683-07404-8),
 Gabrielsson and Weiner (1997, ISBN:978-91-9765-100-4), and Gibaldi and
 Perrier (1982, ISBN:978-0824710422).

Package: r-cran-qpraentry
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 826
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bsplus, r-cran-dplyr, r-cran-dt, r-cran-eurostat, r-cran-ggiraph, r-cran-ggplot2, r-cran-giscor, r-cran-memoise, r-cran-purrr, r-cran-sf, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qpraentry_0.1.1-1.ca2004.1_all.deb
Size: 630072
MD5sum: 34f8f3e40a5a86f558dedddf922cf269
SHA1: de35178a2a0e61de8228047b3c79a1c4f8bc9895
SHA256: 99eb96cf942b5099e16fee8628d5747e3e7adc52f6bc5b432c00cc481b07d932
SHA512: 709fe9b02cb056540ea145708692038b274faaf2e0a6668d925d2a31348c22b8942c4a8a75507f425e26e7fe1e6c12847aa3a81f1d7a261c5b3754d0446d7188
Homepage: https://cran.r-project.org/package=qPRAentry
Description: CRAN Package 'qPRAentry' (Quantitative Pest Risk Assessment at the Entry Step)
 Supports risk assessors in performing the entry step of the quantitative
 Pest Risk Assessment. It allows the estimation of the amount of a plant pest
 entering a risk assessment area (in terms of founder populations) through
 the calculation of the imported commodities that could be potential pathways
 of pest entry, and the development of a pathway model. Two 'Shiny' apps
 based on the functionalities of the package are included, that simplify the
 process of assessing the risk of entry of plant pests. The approach is based
 on the work of the European Food Safety Authority (EFSA PLH Panel et al.,
 2018) <doi:10.2903/j.efsa.2018.5350>.

Package: r-cran-qqboxplot
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 691
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-gridextra, r-cran-testthat, r-cran-vdiffr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-qqboxplot_0.3.0-1.ca2004.1_all.deb
Size: 458156
MD5sum: 71a41b6f0854cacc06f8871189ba0386
SHA1: 6d0c55e61f62fd2418625eca8f1f5afdb75afcc9
SHA256: b6cdd2398d4568c1a6072a5546321360f58dfc16c99e1d75e7c64384917753f0
SHA512: d39a7ce452322881caac111b628e15d1e093bb337f7e694d8a6f9bf8be38f130659b7a913d78959a7786ff78e89f0560194b37a9e6778947ade0660f89b2384d
Homepage: https://cran.r-project.org/package=qqboxplot
Description: CRAN Package 'qqboxplot' (Implementation of the Q-Q Boxplot)
 A system to implement the Q-Q boxplot.  It is implemented as an extension to
 'ggplot2'.  The Q-Q boxplot is an amalgam of the boxplot and the Q-Q plot
 and allows the user to rapidly examine summary statistics and tail behavior
 for multiple distributions in the same pane.  As an extension of the
 'ggplot2' implementation of the boxplot, possible modifications to the
 boxplot extend to the Q-Q boxplot.

Package: r-cran-qqman
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1573
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-calibrate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qqman_0.1.9-1.ca2004.1_all.deb
Size: 1107560
MD5sum: 10ed5cf2ccdefc7bd07e0f95fd0c3e86
SHA1: 996eaa1ddd26e3064deffcdc8ff5498b443acf07
SHA256: 97e757aed0a4436d9912185bc9eedd4fc3c44f477d24c11c46c723f7920341aa
SHA512: fdeb1c852495e4ffbe7849858071aeb6096ef4ab096989afcbe4762f3d6dce5d8a0ecdad8659df7033e8971cc5e8819a3e1d4955d4796819fd66f21bbc246c58
Homepage: https://cran.r-project.org/package=qqman
Description: CRAN Package 'qqman' (Q-Q and Manhattan Plots for GWAS Data)
 Create Q-Q and manhattan plots for GWAS data from PLINK results.

Package: r-cran-qqperm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qqperm_1.0.1-1.ca2004.1_all.deb
Size: 622620
MD5sum: 20f540a038b277521e8c4e4992b6d292
SHA1: d5b1da00d02754c8171b8914480fe95fd10faa24
SHA256: 997e88f2c200f91bb2508e94950c541c42c70581d1c9d21036debff07308c82c
SHA512: a06bd504258cf8332475dfc709aca1cee215addbc5b2e6a348aebfe3b349114616fffcf1be499ed071efb6c20ce805151ff0a84074e95acfce1eb002ae754c40
Homepage: https://cran.r-project.org/package=QQperm
Description: CRAN Package 'QQperm' (Permutation Based QQ Plot and Inflation Factor Estimation)
 Provides users the necessary utility functions to generate permutation-based
 QQ plots and also estimate inflation factor based on the empirical NULL
 distribution. While it has general utility, it is particularly helpful when
 the skewness of the Fisher's Exact test in sparse data situations with
 imbalanced case-control sample sizes renders the reliance on the uniform
 chi-square expected distribution inappropriate.

Package: r-cran-qqplotr
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1376
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-robustbase, r-cran-mass, r-cran-opdisdownsampling, r-cran-qqconf
Suggests: r-cran-shiny, r-cran-devtools, r-cran-lattice, r-cran-shinybs, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qqplotr_0.0.6-1.ca2004.1_all.deb
Size: 1061412
MD5sum: 7570baad9e7b9e1e9c373a7bd56a65b0
SHA1: f29da3d08d1d6eb636f06bc7986e091a6b109d59
SHA256: c4f873b5eff5d86cc530742e1ab2db424414d773b84c570ca710773f77bedff9
SHA512: afe366b50ee457d5eaf2f9dae85b1654ca9d8b0537b5364fdfb1527e2bf25fc9bf6968ad21790c7e0c0f1d4d3202efc74c9090856c84b2c778c0a8a2b604d71b
Homepage: https://cran.r-project.org/package=qqplotr
Description: CRAN Package 'qqplotr' (Quantile-Quantile Plot Extensions for 'ggplot2')
 Extensions of 'ggplot2' Q-Q plot functionalities.

Package: r-cran-qqr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest, r-cran-tidyverse, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qqr_0.0.1-1.ca2004.1_all.deb
Size: 25940
MD5sum: 8b965a28a0ee9f60f5042799343bfa33
SHA1: e2404cff2e03f62179db6778d6dbd07ee730d5d7
SHA256: 71c6eec8d3a076787ddaeb29420fad0e8af33ac3167d1e9ab0e9408a8a4e1e13
SHA512: 155a559e575636c9771dc5fa4804aef38705879bcd6bcb54b3a1ad9659436fe0574d8d93ae82a92d74476c46ac6c8d441d8b5dccbab08d7724bdb4e53dba2295
Homepage: https://cran.r-project.org/package=qqr
Description: CRAN Package 'qqr' (Data from Brazilian Soccer Championship)
 Get data about the Brazilian soccer championship since 2014. Official data
 can be found at
 <https://www.cbf.com.br/futebol-brasileiro/competicoes/campeonato-brasileiro-serie-a/>.

Package: r-cran-qqtest
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qqtest_1.2.0-1.ca2004.1_all.deb
Size: 215120
MD5sum: fec1681e3b160337ea86e894ea259fda
SHA1: cfc3bb06d0a030fe6743793deacc04b2ced8f000
SHA256: 74febcd431f3ed6c509e58ffd2e62a824d1f9209f87c958f639240f786473a6f
SHA512: a81bbebf289f62ae6d6920af18ca962a66fb8466325996878d75436c77fe3d949333ed504fa23402593c5f568338a6be9d8cfcc9da8695f5187c10603063efd0
Homepage: https://cran.r-project.org/package=qqtest
Description: CRAN Package 'qqtest' (Self Calibrating Quantile-Quantile Plots for Visual Testing)
 Provides the function qqtest which incorporates uncertainty in its qqplot
 display(s) so that the user might have a better sense of the evidence
 against the specified distributional hypothesis.  qqtest draws a quantile
 quantile plot for visually assessing whether the data come from a test
 distribution that has been defined in one of many ways.  The vertical axis
 plots the data quantiles, the horizontal those of a test distribution.  The
 default behaviour generates 1000 samples from the test distribution and
 overlays the plot with shaded pointwise interval estimates for the ordered
 quantiles from the test distribution.  A small number of independently
 generated exemplar quantile plots can also be overlaid.  Both the interval
 estimates and the exemplars provide different comparative information to
 assess the evidence provided by the qqplot for or against the hypothesis
 that the data come from the test distribution (default is normal or
 gaussian).  Finally, a visual test of significance (a lineup plot) can also
 be displayed to test the null hypothesis that the data come from the test
 distribution.

Package: r-cran-qqvases
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-qqvases_1.0.0-1.ca2004.1_all.deb
Size: 56524
MD5sum: ca186b862e17ca561f8087e4bd3b8de4
SHA1: 9723ea35e6a6b6a246285f65bbce9194b65dbbf7
SHA256: e079d6facc95332c2f52c69ed95bc7f62dfbc3c7763c59c66bffa3aa4718db60
SHA512: 2e8dfc54b98c0d43745b6b320aac3f1596fd273534478202d7e50c4cc8c64383318c87305b04c1699d682471aa4234e76e03f1348182be01fae5fd1da6ea7b2a
Homepage: https://cran.r-project.org/package=qqvases
Description: CRAN Package 'qqvases' (Animated Normal Quantile-Quantile Plots)
 Presents an explanatory animation of normal quantile-quantile plots based on
 a water-filling analogy.  The animation presents a normal QQ plot as the
 parametric plot of the water levels in vases defined by two distributions.
 The distributions decorate the axes in the normal QQ plot and are optionally
 shown as vases adjacent to the plot.  The package draws QQ plots for several
 distributions, either as samples or continuous functions.

Package: r-cran-qr.break
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg
Suggests: r-cran-sparsem
Filename: pool/dists/focal/main/r-cran-qr.break_1.0.2-1.ca2004.1_all.deb
Size: 181424
MD5sum: 600d6c5c269984aef2edee7cb479be19
SHA1: 0b31062391fd74883069acdf2582bab6c0123d64
SHA256: 52a7a55203fdd3bf461d92b15db5e1d3e5da07519b520856daceb184a0b7072a
SHA512: 332c9c49d1dd8f4fd22bd869300a7c527e98103979bda3c0be85a06d57bcd929d4029a8e6ad565f7116921cf86d82b8365a59ea508bcdc74c5de6128a13168c7
Homepage: https://cran.r-project.org/package=QR.break
Description: CRAN Package 'QR.break' (Structural Breaks in Quantile Regression)
 Methods for detecting structural breaks, determining the number of breaks,
 and estimating break locations in linear quantile regression, using one or
 multiple quantiles, based on Qu (2008) and Oka and Qu (2011).  Applicable to
 both time series and repeated cross-sectional data. The main function is
 rq.break().
 References for detailed theoretical and empirical explanations:
 (1) Qu, Z. (2008).  "Testing for Structural Change in Regression Quantiles."
 Journal of Econometrics, 146(1), 170-184 <doi:10.1016/j.jeconom.2008.08.006>
 (2) Oka, T., and Qu, Z. (2011).  "Estimating Structural Changes in
 Regression Quantiles."  Journal of Econometrics, 162(2), 248-267
 <doi:10.1016/j.jeconom.2011.01.005>.

Package: r-cran-qra
Architecture: all
Version: 0.2.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2390
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-knitr, r-cran-rmarkdown, r-cran-lme4, r-cran-ggplot2
Suggests: r-cran-fitodbod, r-cran-vgam, r-cran-glmmtmb, r-cran-gamlss, r-cran-prettydoc, r-cran-dharma, r-cran-kableextra, r-cran-plotrix, r-cran-dfoptim, r-cran-optimx, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-qra_0.2.8.1-1.ca2004.1_all.deb
Size: 1531928
MD5sum: b6deafdcd254fa2e89c21fbc3b16d938
SHA1: 860efc1933d63e42dc133869e5a8d3d6fed02a47
SHA256: 39c3f0150813d5c8bb82d8ba5d2d2f3089be25bc18af4a5a056ec407564c4747
SHA512: 30be800f745b5de8c2c240c98e5f640e1f8127db31efd2de3b9226c60c690afb97edf235adfde6a5473cf3b24c9a87aefc81ec885445d16a4a993291b6b51234
Homepage: https://cran.r-project.org/package=qra
Description: CRAN Package 'qra' (Quantal Response Analysis for Dose-Mortality Data)
 Functions are provided that implement the use of the Fieller's formula
 methodology, for calculating a confidence interval for a ratio of (commonly,
 correlated) means.  See Fieller (1954)
 <doi:10.1111/j.2517-6161.1954.tb00159.x>.  Here, the application of primary
 interest is to studies of insect mortality response to increasing doses of a
 fumigant, or, e.g., to time in coolstorage.  The formula is used to
 calculate a confidence interval for the dose or time required to achieve a
 specified mortality proportion, commonly 0.5 or 0.99.  Vignettes demonstrate
 link functions that may be considered, checks on fitted models, and
 alternative choices of error family.  Note in particular the betabinomial
 error family.  See also Maindonald, Waddell, and Petry (2001)
 <doi:10.1016/S0925-5214(01)00082-5>.

Package: r-cran-qragadget
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 780
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-leaflet, r-cran-magrittr, r-cran-miniui, r-cran-raster, r-cran-scales, r-cran-shiny, r-cran-shinywidgets, r-cran-sp
Filename: pool/dists/focal/main/r-cran-qragadget_0.3.0-1.ca2004.1_all.deb
Size: 707660
MD5sum: 04cdcc87e1f7b568544bf1ee9218ac94
SHA1: 9fcb278cdaf2a371bc7c7c10d7a932ad0687a7c0
SHA256: d21fd7963e076147a75d31f39031ba05f89dadfc2a79bbb6f872a20b18d64d93
SHA512: c4a97da095e46c3251d0773d0d1e7266503c112edf4d38fe6e8af0cdbcbbc8c2933a476ab3c1737e0b8255fe289de816490b39652beb1806826bef455737ccba
Homepage: https://cran.r-project.org/package=QRAGadget
Description: CRAN Package 'QRAGadget' (A 'Shiny' Gadget for Interactive 'QRA' Visualizations)
 Upload raster data and easily create interactive quantitative risk analysis
 'QRA' visualizations. Select from numerous color palettes, base-maps, and
 different configurations.

Package: r-cran-qrage
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-qrage_1.0-1.ca2004.1_all.deb
Size: 471192
MD5sum: e440044a4efcf3f3d8dbaa44805fee14
SHA1: 756fad55000d7ad1bbbd2d031099ee7feec39c9d
SHA256: cf9af75e37ddfb17f59862fe57b8b48a136afb232f133d135f933f941d46014f
SHA512: 1ac5290d7110eed25af34348270e773feb569f78864cf0529554851bfe65c66cf5b2e5370327b249030ea2275ed620a4ab6e10460264cb6af51bc01a71e4b8f9
Homepage: https://cran.r-project.org/package=qrage
Description: CRAN Package 'qrage' (Tools that Create D3 JavaScript Force Directed Graph from R)
 Tools that create D3 JavaScript force directed graph from R. D3 JavaScript
 was created by Michael Bostock. See http://d3js.org/ and, more specifically
 for Force Directed Graph https://github.com/mbostock/d3/wiki/Force-Layout.

Package: r-cran-qrandom
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-rmpfr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qrandom_1.2.6-1.ca2004.1_all.deb
Size: 68016
MD5sum: dd21fbbc0f412c22fe49beb4a9ec6b59
SHA1: 146a738a5ed48b1086b735a7d0f1f9472239b30f
SHA256: 6a05ff9a4bbb1a0ab1dd4487241ec194d68f8260d00ddff2602e0144f1d1660f
SHA512: 2a1cc5742278faa8ecbd5eef18904a66027e22e9402355238b2a3476b55517c7052e9c3869785e8fef10e83fdd0bb22575d6ea0962e3d0fcc89e09da4df6927e
Homepage: https://cran.r-project.org/package=qrandom
Description: CRAN Package 'qrandom' (True Random Numbers using the ANU Quantum Random Numbers Server)
 The ANU Quantum Random Number Generator provided by the Australian National
 University generates true random numbers in real-time by measuring the
 quantum fluctuations of the vacuum. This package offers an interface using
 their API.  The electromagnetic field of the vacuum exhibits random
 fluctuations in phase and amplitude at all frequencies.  By carefully
 measuring these fluctuations, one is able to generate ultra-high bandwidth
 random numbers.  The quantum Random Number Generator is based on the papers
 by Symul et al., (2011) <doi:10.1063/1.3597793> and Haw, et al. (2015)
 <doi:10.1103/PhysRevApplied.3.054004>.  The package offers functions to
 retrieve a sequence of random integers or hexadecimals and true random
 samples from a normal or uniform distribution.

Package: r-cran-qrank
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-qrank_1.0-1.ca2004.1_all.deb
Size: 22324
MD5sum: 966dc5fafae6e61c5d064381a0ecc5b5
SHA1: eb61dd0f9d478d354b3f74cd36fcc1154e539a36
SHA256: 0b4b5e02632f5300bb2639243a2a3c49bb1e49b174c3992c4a8feb19e9f47887
SHA512: ab7b67fc3189ecdcb8510f2e8140c6fb4b116ee902a8b98cc5d2c8633707c41794b8f15945ebf6909c6126d240e686c56b50ae262cdff5bb4c69f503a6399a28
Homepage: https://cran.r-project.org/package=QRank
Description: CRAN Package 'QRank' (A Novel Quantile Regression Approach for eQTL Discovery)
 A Quantile Rank-score based test for the identification of expression
 quantitative trait loci.

Package: r-cran-qrcm
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-pch, r-cran-icenreg
Filename: pool/dists/focal/main/r-cran-qrcm_3.2-1.ca2004.1_all.deb
Size: 380468
MD5sum: 5a095b6932ff0b5f19aa262ae13f358c
SHA1: 58982019e1c4c6772876fe7c1e34c0426dd7d4f8
SHA256: 3874ba466549955f36984ea8d1066da14651b8b89065d705061e7cbf81f40ccd
SHA512: e155ef89e4f81283373921e5eb1d436c19ab1af57c62298bc45237b1cd101d3d1a34173083460a561d71a522a66068eb33a60dd98b3f224a364fd575c76c0f4c
Homepage: https://cran.r-project.org/package=qrcm
Description: CRAN Package 'qrcm' (Quantile Regression Coefficients Modeling)
 Parametric modeling of quantile regression coefficient functions.

Package: r-cran-qrcmnp
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-qrcm
Filename: pool/dists/focal/main/r-cran-qrcmnp_0.2.1-1.ca2004.1_all.deb
Size: 219608
MD5sum: 3b09762e317cb9998e58b0eae5ace477
SHA1: 31ea944a531d9019efef148c595c60e878978e8b
SHA256: 4f175b6dd621dacef5c299e572e455a2c0b23d0755b6eb7e1e2b6e8f56a9d399
SHA512: 3789e57a1f7a6b1ae6ee904a5094e7fdb8058c56054d5dba422214c2eb1b30894efe03d252db9501e1e3ba29fca9898f54d0cde53cc4d803f3e346d45caf40d4
Homepage: https://cran.r-project.org/package=qrcmNP
Description: CRAN Package 'qrcmNP' (Nonlinear and Penalized Quantile Regression CoefficientsModeling)
 Nonlinear and Penalized parametric modeling of quantile regression
 coefficient functions. Sottile G, Frumento P, Chiodi M and Bottai M (2020)
 <doi:10.1177/1471082X19825523>.

Package: r-cran-qrcode
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat
Suggests: r-cran-httr, r-cran-jpeg, r-cran-knitr, r-cran-opencv, r-cran-png, r-cran-rsvg, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qrcode_0.3.0-1.ca2004.1_all.deb
Size: 140680
MD5sum: caa1b0bcaa908282f35fec659394e429
SHA1: cc64bd60bd2a3d435f57d75c1059d1346edaf409
SHA256: c3181479039eb2d873066f6afa949c315285194e2a42bb76db745af599e4bb01
SHA512: 60c01f8e77731d36a495fa5949ef80c010316f0ddd5099edfa77a4935c77224022514437b79165beee61bafb2c6c5e880a3305872e3ce16a28aaf984b0c6b11e
Homepage: https://cran.r-project.org/package=qrcode
Description: CRAN Package 'qrcode' (Generate QRcodes with R)
 Create static QR codes in R. The content of the QR code is exactly what the
 user defines. We don't add a redirect URL, making it impossible for us to
 track the usage of the QR code. This allows to generate fast, free to use
 and privacy friendly QR codes.

Package: r-cran-qregvcm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-sparsem, r-cran-truncsp
Filename: pool/dists/focal/main/r-cran-qregvcm_1.2-1.ca2004.1_all.deb
Size: 280940
MD5sum: 84a0937214515979e809a4b47792ed8e
SHA1: b8f8e9a3636636a8f4e8187251e50f4ad3711e38
SHA256: b3f889d491463bd8161c9db20300da7b084322261171b1365a9f9472673535f3
SHA512: b78ab451dcc351245a990a863f6be34fa45ff4ec3ef50d3bf3a628f7c9a073508f39a16c8e89d378f3d413e0220630035f818b35b02435ddd29633b15480338f
Homepage: https://cran.r-project.org/package=QRegVCM
Description: CRAN Package 'QRegVCM' (Quantile Regression in Varying-Coefficient Models)
 Quantile regression in varying-coefficient models (VCM) using one particular
 nonparametric technique called P-splines. The functions can be applied on
 three types of VCM; (1) Homoscedastic VCM, (2) Simple heteroscedastic VCM,
 and (3) General heteroscedastic VCM.

Package: r-cran-qreport
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-data.table, r-cran-ggplot2, r-cran-rms, r-cran-formula, r-cran-viridis, r-cran-knitr, r-cran-htmltools
Suggests: r-cran-tth
Filename: pool/dists/focal/main/r-cran-qreport_1.0-2-1.ca2004.1_all.deb
Size: 199716
MD5sum: 1f370a420026e803a7488bc1dd29f31c
SHA1: b9e98ffae793cf1126708b03853a44ec4502ec07
SHA256: cea87139b02f2a73c5cf9078fb53499422f668f48ab4a776879c78d97dad0833
SHA512: 5ab8467ac62088cb02715591a5772b170eb7c0dbdda1331d1a54eb3529acd4b110aff3d677579787fa2b923bfe99a3e82738d16e23b2e05e9a84fb584b6f33d8
Homepage: https://cran.r-project.org/package=qreport
Description: CRAN Package 'qreport' (Statistical Reporting with 'Quarto')
 Provides statistical components, tables, and graphs that are useful in
 'Quarto' and 'RMarkdown' reports and that produce 'Quarto' elements for
 special formatting such as tabs and marginal notes and graphs.  Some of the
 functions produce entire report sections with tabs, e.g., the missing data
 report created by missChk().  Functions for inserting variables and tables
 inside 'graphviz' and 'mermaid' diagrams are included, and so are special
 clinical trial graphics for adverse event reporting.

Package: r-cran-qripkg
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-qripkg_0.2.2-1.ca2004.1_all.deb
Size: 198552
MD5sum: 78446f6ae9e1a4f764af3d725e3a0bab
SHA1: 36d61ac6aa2a0203a4a102d38e607d6a8924ac65
SHA256: bc13fee03bfa4016027f94ae4916d28920a2dc628c7397036e8399fb414d350b
SHA512: 56ee268183e92bda1c29c7938c96f1fb8d17374b35d0d79fd3ede8c247d93bcd890d50b32916c962e146efcf0e14f56cf9600f9c38a9deca8f03b11afe5d9f38
Homepage: https://cran.r-project.org/package=QRIpkg
Description: CRAN Package 'QRIpkg' (Quantile Regression Index Score)
 The QRI_func() function performs quantile regression analysis using age and
 sex as predictors to calculate the Quantile Regression Index (QRI) score for
 each individual’s regional brain imaging metrics and then averages across
 the regional scores to generate an average tissue specific score for each
 subject. The QRI_plot() is used to plot QRI and generate the normative
 curves for individual measurements.

Package: r-cran-qrisk3
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qrisk3_0.6.0-1.ca2004.1_all.deb
Size: 39476
MD5sum: 155fa40ae40c97d705d455b8e5093ec1
SHA1: 44f2e165b5bf9b386377bed40599386f45bef7c0
SHA256: 43170ca266db5f6263c7f32fc61ea7408e2984e5c8c740a4c4133e6b1b8b7fef
SHA512: a80c6183634f2fc9962544b3c31c959e86e19e1217655072d38ff1028c256d984f295325cfc043b93235275bcc6958a86230a50fd33c8f400f00a411019e1c4d
Homepage: https://cran.r-project.org/package=QRISK3
Description: CRAN Package 'QRISK3' (10-Year Cardiovascular Disease Risk Calculator (QRISK3 2017))
 This function aims to calculate risk of developing cardiovascular disease of
 individual patients in next 10 years. This unofficial package was based on
 published open-sourced free risk prediction algorithm QRISK3-2017
 <https://qrisk.org/src.php>.

Package: r-cran-qrlabelr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3640
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shinybs, r-cran-argondash, r-cran-argonr, r-cran-assertthat, r-cran-bslib, r-cran-desplot, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-qbms, r-cran-qrencoder, r-cran-raster, r-cran-reactable, r-cran-readxl, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets, r-cran-uuid
Suggests: r-cran-covr, r-cran-knitr, r-cran-rlang, r-cran-rmarkdown, r-cran-shinytest2, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-qrlabelr_0.2.0-1.ca2004.1_all.deb
Size: 2721864
MD5sum: 227dd253c7a68919fd6bc91fed8528f1
SHA1: d72e5c633b018e3f490a88eb1a3870943e3e5c48
SHA256: aea36e73dec7bfc1a6170b9381f997675d8530b48fae496195a074c2ecc2bbd3
SHA512: 30ce5af44b93d0d69f7cf15e81a82d8439a5936fe996f8b757095ecc22ef4f780c869ac74c5fcbd3c1fe4d97530cd2d9f09a4a5735138f911817363c0b9abf39
Homepage: https://cran.r-project.org/package=qrlabelr
Description: CRAN Package 'qrlabelr' (Generate Machine- And Human-Readable Plot Labels for Experiments)
 A no-frills open-source solution for designing plot labels affixed with QR
 codes. It features 'EasyQrlabelr', a 'BrAPI-compliant' 'shiny' app that
 simplifies the process of plot label design for non-R users. It builds on
 the methods described by Wu 'et al.' (2020) <doi:10.1111/2041-210X.13405>.

Package: r-cran-qrlmm
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-lqr, r-cran-quantreg, r-cran-psych, r-cran-ald
Filename: pool/dists/focal/main/r-cran-qrlmm_2.3-1.ca2004.1_all.deb
Size: 86032
MD5sum: ee159757c98e452e6d0ede52b4578406
SHA1: d2f0c98820f95b77429905bab81906a2e7333b25
SHA256: 18ddd3f0197dbc0f1d63bd395e7bbbc913129e54519a07c47be42cdd839b067a
SHA512: 47c0bedcce457bedafa17a9ccbc2bccd90fe9892875e687e0e030ebf241991124401c83e4363405d238ca78448d638771c72944e70a991744bb541d8bc2fed54
Homepage: https://cran.r-project.org/package=qrLMM
Description: CRAN Package 'qrLMM' (Quantile Regression for Linear Mixed-Effects Models)
 Quantile regression (QR) for Linear Mixed-Effects Models via the asymmetric
 Laplace distribution (ALD).  It uses the Stochastic Approximation of the EM
 (SAEM) algorithm for deriving exact maximum likelihood estimates and full
 inference results for the fixed-effects and variance components.  It also
 provides graphical summaries for assessing the algorithm convergence and
 fitting results.

Package: r-cran-qrmdata
Architecture: all
Version: 2024-03-04-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11124
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xts
Suggests: r-cran-knitr, r-cran-qrmtools, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-qrmdata_2024-03-04-2-1.ca2004.1_all.deb
Size: 11338548
MD5sum: d91c9b0251ffe2c2246db5de1544fd7a
SHA1: b37400e81ba302820c8c52a4b85892a49dc26998
SHA256: 5cf995a54dd764189f9761d5985476b473e550a9f13a72623d250eaab944c077
SHA512: b612a7abd283e792942c4616c76a4968d5f89dad818695fc7156c35c190a8422498d2c84ff5b71bb2e8973735908e46d482437eeae8d2897cb2525c66103484f
Homepage: https://cran.r-project.org/package=qrmdata
Description: CRAN Package 'qrmdata' (Data Sets for Quantitative Risk Management Practice)
 Various data sets (stocks, stock indices, constituent data, FX, zero-coupon
 bond yield curves, volatility, commodities) for Quantitative Risk Management
 practice.

Package: r-cran-qrmix
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-qrmix_0.9.0-1.ca2004.1_all.deb
Size: 61396
MD5sum: e51af58d643f54caf80a45e5c41e12bf
SHA1: ccbeac93b0e5776f0709a0fb6f4afb1bc7dbd2bc
SHA256: c078120ae90f7e99c5e3716592997ccd69130084cdf98fa94a72e7237ee26d7e
SHA512: d48d545f35e9bd669c989c316bd195a75b1dbb2f5fcc8de742f10b3ec17e053728d1ace20cfc9e5ab48ad7b93cf1881f34176a8308c773eef34eede4927df48b
Homepage: https://cran.r-project.org/package=qrmix
Description: CRAN Package 'qrmix' (Quantile Regression Mixture Models)
 Implements the robust algorithm for fitting finite mixture models based on
 quantile regression proposed by Emir et al., 2017 (unpublished).

Package: r-cran-qrnlmm
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-lqr, r-cran-quantreg, r-cran-psych, r-cran-ald, r-cran-progress
Filename: pool/dists/focal/main/r-cran-qrnlmm_4.0-1.ca2004.1_all.deb
Size: 118924
MD5sum: 605f2fca53f486aef863ee0f825276ad
SHA1: 948f95306750bf76593d8bfbf273b4636ae46fb3
SHA256: 1d00311fca58d4c330f7c6290c7ac06fc4a795645e13e4ac42260e6e1ad0bda3
SHA512: 93ad046d8034a359728d2baebe44b3fee122ef5ce0fa5b59ec65e2216d89650577281bf5b42e620db5a08c1e19411c1ca410bfa745a8fda1e737fcfd467bd0e2
Homepage: https://cran.r-project.org/package=qrNLMM
Description: CRAN Package 'qrNLMM' (Quantile Regression for Nonlinear Mixed-Effects Models)
 Quantile regression (QR) for Nonlinear Mixed-Effects Models via the
 asymmetric Laplace distribution (ALD).  It uses the Stochastic Approximation
 of the EM (SAEM) algorithm for deriving exact maximum likelihood estimates
 and full inference result is for the fixed-effects and variance components.
 It also provides prediction and graphical summaries for assessing the
 algorithm convergence and fitting results.

Package: r-cran-qrnn
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qrnn_2.1.1-1.ca2004.1_all.deb
Size: 277176
MD5sum: 022bc792e48ea99f4fae2c500d910d93
SHA1: f01b615697a7bd5eefad37fab1028fa3137d1efb
SHA256: 4ecf1217b0163c137fa7fcd891387e81c791ffa9af3b34bf379e82fc33b95ced
SHA512: f1381b0ee0aad55b65ed55a84b61c6b21d2749788e6c92eeaf86eecd59c9407c243adf4f86e67ab6514b3ee37aa69ac3440c3e43679370e0a5ae44cb7947490c
Homepage: https://cran.r-project.org/package=qrnn
Description: CRAN Package 'qrnn' (Quantile Regression Neural Network)
 Fit quantile regression neural network models with optional left censoring,
 partial monotonicity constraints, generalized additive model constraints,
 and the ability to fit multiple non-crossing quantile functions following
 Cannon (2011) <doi:10.1016/j.cageo.2010.07.005> and Cannon (2018)
 <doi:10.1007/s00477-018-1573-6>.

Package: r-cran-qsardata
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12890
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-qsardata_1.3-1.ca2004.1_all.deb
Size: 13166720
MD5sum: 7c64900c6262e08c63de7cd7aa169e63
SHA1: ffdcc85f70ba9370fef2554f1c2ce28f031cb047
SHA256: a41dfccc2f94f8dc555daf5017cf6bd63387b894c1830d44ba45799cd57d0682
SHA512: 24c64844319da7bd390ab623ef4d0dda86bdf26d60c28d17f6d799ec80be333f6eedf7dbfd438f02c43f6b68e516be2f1b79cd2c978f0187ba29404bb0dc3394
Homepage: https://cran.r-project.org/package=QSARdata
Description: CRAN Package 'QSARdata' (Quantitative Structure Activity Relationship (QSAR) Data Sets)
 Molecular descriptors and outcomes for several public domain data sets

Package: r-cran-qsimulatr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qsimulatr_1.1.1-1.ca2004.1_all.deb
Size: 376872
MD5sum: f1eb1ee97955d98c5724e2ea4fe7faa9
SHA1: aaae812f15dfd702437d2501ff8b47e6f3da8f6d
SHA256: 63e8f47c98d8427e0ca432cb204685b03a4e09572f4ac23d975866c9913ecaaa
SHA512: 075383a3af861d3c6d85842bc7cc5b57d0281acc9238b5f10b40bf9dd62454b4dadf58d84dcc0feb4fcaa3f0dcac09bac132fc539ef958c07e2f9fa8a9543602
Homepage: https://cran.r-project.org/package=qsimulatR
Description: CRAN Package 'qsimulatR' (A Quantum Computer Simulator)
 A quantum computer simulator framework with up to 24 qubits. It allows to
 define general single qubit gates and general controlled single qubit gates.
 For convenience, it currently provides the most common gates (X, Y, Z, H, Z,
 S, T, Rx, Ry, Rz, CNOT, SWAP, Toffoli or CCNOT, Fredkin or CSWAP).
 'qsimulatR' also implements noise models.  'qsimulatR' supports plotting of
 circuits and is able to export circuits to 'Qiskit' <https://qiskit.org/>, a
 python package which can be used to run on IBM's hardware
 <https://quantum-computing.ibm.com/>.

Package: r-cran-qslice
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qslice_0.3.1-1.ca2004.1_all.deb
Size: 230608
MD5sum: 5f1007c518699a009beda408ad5e43fb
SHA1: fc48d0876110329d1cf9f9c695bc1f6da9cff477
SHA256: c3837a91f526ed54544903935ab210821843fffb7a8c4b1d84ce439eed504fef
SHA512: 51ae099e6addba9b21a332590f287553157c06693c7195aaf13bf93f92db235c2c9a8bdaee5c7cc239abbf3ed18dcd79e67cd324a9e4ad90cb75b20cab4c239a
Homepage: https://cran.r-project.org/package=qslice
Description: CRAN Package 'qslice' (Implementations of Various Slice Samplers)
 Implementations of the quantile slice sampler of Heiner et al. (2024+, in
 preparation) as well as other popular slice samplers are provided.  Helper
 functions for specifying pseudo-target distributions are included, both for
 diagnostics and for tuning the quantile slice sampler.  Other implemented
 methods include the generalized elliptical slice sampler of Nishihara et al.
 (2014)<https://jmlr.org/papers/v15/nishihara14a.html}, latent slice sampler
 of Li and Walker (2023)<doi:10.1016/j.csda.2022.107652>, and stepping-out
 slice sampler of Neal (2003)<doi:10.1214/aos/1056562461>, and independence
 Metropolis-Hastings sampler.

Package: r-cran-qsort
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cowplot, r-cran-ggplot2, r-cran-gridextra, r-cran-purrr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-roxygen2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qsort_0.2.3-1.ca2004.1_all.deb
Size: 61940
MD5sum: e9454b7144b8c38fdc2d57d234565328
SHA1: 22692c2103aa1b5a750961bb1253541d79f23ab1
SHA256: f5ced8440c6875fe9396c341dfa6df0116e6290b547c1c32c8c192579f805ef2
SHA512: 36e7610e4a3e6def24864bb510d6a2e3746fe41e5ed97019831253708c2873d23a53b45f73e7cb13942433636aec68e8a5266b5b4ca2f6c3463ac373a3bca3fd
Homepage: https://cran.r-project.org/package=qsort
Description: CRAN Package 'qsort' (Scoring Q-Sort Data)
 Computes scores from Q-sort data, using criteria sorts and derived scales
 from subsets of items.  The 'qsort' package includes descriptions and
 scoring procedures for four different Q-sets commonly used in developmental
 psychology research: Attachment Q-set (version 3.0) (Waters, 1995,
 <doi:10.1111/j.1540-5834.1995.tb00214.x>); California Child Q-set (Block and
 Block, 1969, <doi:10.1037/0012-1649.21.3.508>); Maternal Behaviour Q-set
 (version 3.1) (Pederson et al., 1999,
 <https://ir.lib.uwo.ca/cgi/viewcontent.cgi?article=1000&context=psychologypub>);
 Preschool Q-set (Baumrind, 1968 revised by Wanda Bronson,
 <doi:10.1111/j.1540-5834.1995.tb00214.x>).

Package: r-cran-qst
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsqlite, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-tibble, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-qst_0.1.2-1.ca2004.1_all.deb
Size: 17672
MD5sum: 2475c8c9650fe2cc513aa5dcde2f3960
SHA1: d8528fa15ad0dadfeb7fcf243b793bd78645c5c9
SHA256: 1872c85de10c3d79966ccb6e7b6a81805dba7686f64199b8c5b07dbd49e8c83c
SHA512: 8791d527528f410e25b90e781bfc3d7578a16862c28704384059c0ec392afd43ebd96c5fd949aaa208f84f2fe1195e1b106641caae8e4783afba55e697d7f71b
Homepage: https://cran.r-project.org/package=qst
Description: CRAN Package 'qst' (Store Tables in SQL Database)
 Provides functions for quickly writing (and reading back) a data.frame to
 file in 'SQLite' format. The name stands for *Store Tables using 'SQLite'*,
 or alternatively for *Quick Store Tables* (either way, it could be
 pronounced as *Quest*).  For data.frames containing the supported data types
 it is intended to work as a drop-in replacement for the 'write_*()' and
 'read_*()' functions provided by similar packages.

Package: r-cran-qsub
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-pbapply, r-cran-processx, r-cran-purrr, r-cran-random, r-cran-readr, r-cran-ssh, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qsub_1.1.3-1.ca2004.1_all.deb
Size: 98008
MD5sum: 2a1f8fc26d2f7588299a7067344fb3a8
SHA1: 8d57839ab315cc1825eee17756fc1209bf3e79e5
SHA256: 739f48ca998791869c08e7a747134f678971e80f828bf9d7a6f856f5a31c4da2
SHA512: 18931438adfb1706b101e35054dfc973a5d30466bf2567f6c36413a31ed30b9c9f235e4c87e6eb04e9277e9c79d0da1010819ae7f6372b2c13ea3d6cc26def72
Homepage: https://cran.r-project.org/package=qsub
Description: CRAN Package 'qsub' (Running Commands Remotely on 'Gridengine' Clusters)
 Run lapply() calls in parallel by submitting them to 'gridengine' clusters
 using the 'qsub' command.

Package: r-cran-qte.rd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-plotrix
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-qte.rd_1.1.0-1.ca2004.1_all.deb
Size: 150704
MD5sum: c3489893d8ce223ba1d6eceb0fb58973
SHA1: e62d398bda66c5805858ecb7c1dc2ed07fe7e4c1
SHA256: a0d126bb078baae450767406a69d3ec253e84f34be4aaa819c69b6bf0c46d26a
SHA512: b4dac6c34233821dc15b0f2fd527e4e1875ccb35758a4b1e9058d46b6d00ec1f78ccb1fcb528b5e2dd052c69bd0c39f7b8517762dbebc4a1fceae5d68df9d391
Homepage: https://cran.r-project.org/package=QTE.RD
Description: CRAN Package 'QTE.RD' (Quantile Treatment Effects under the Regression DiscontinuityDesign)
 Provides comprehensive methods for testing, estimating, and conducting
 uniform inference on quantile treatment effects (QTEs) in sharp regression
 discontinuity (RD) designs, incorporating covariates and implementing robust
 bias correction methods of Qu, Yoon, Perron (2024)
 <doi:10.1162/rest_a_01168>.

Package: r-cran-qte
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 954
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hmisc, r-cran-quantreg, r-cran-bmisc, r-cran-formula.tools, r-cran-ggplot2, r-cran-texreg, r-cran-pbapply, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-msm
Filename: pool/dists/focal/main/r-cran-qte_1.3.1-1.ca2004.1_all.deb
Size: 615420
MD5sum: 35b596e8d28ec828712230e890beb348
SHA1: 20776cda9d87fc1aa81c952c8027bc8e5fac7c63
SHA256: 65d02731ae6b50a66433ab3b6be3eb0129dd2d7e6282b7b74a56302ca92787f4
SHA512: 361429eb4a721566ec26b78551360c1bb600983da974269e0622c41f0e68f67bc0baf8aa2830558c9e10bbf66158a5d01ce0c2a7fedecd2486eebae365b8dd04
Homepage: https://cran.r-project.org/package=qte
Description: CRAN Package 'qte' (Quantile Treatment Effects)
 Provides several methods for computing the Quantile Treatment Effect (QTE)
 and Quantile Treatment Effect on the Treated (QTT). The main cases covered
 are (i) Treatment is randomly assigned, (ii) Treatment is as good as
 randomly assigned after conditioning on some covariates (also called
 conditional independence or selection on observables) using the methods
 developed in Firpo (2007) <doi:10.1111/j.1468-0262.2007.00738.x>, (iii)
 Identification is based on a Difference in Differences assumption (several
 varieties are available in the package e.g. Athey and Imbens (2006)
 <doi:10.1111/j.1468-0262.2006.00668.x> Callaway and Li (2019)
 <doi:10.3982/QE935>, Callaway, Li, and Oka (2018)
 <doi:10.1016/j.jeconom.2018.06.008>).

Package: r-cran-qtkit
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chromote, r-cran-dplyr, r-cran-ggplot2, r-cran-gutenbergr, r-cran-kableextra, r-cran-knitr, r-cran-matrix, r-cran-openai, r-cran-rlang, r-cran-xml2
Suggests: r-cran-httptest, r-cran-rmarkdown, r-cran-testthat, r-cran-webshot2, r-cran-fs, r-cran-tibble, r-cran-glue, r-cran-readr
Filename: pool/dists/focal/main/r-cran-qtkit_1.1.1-1.ca2004.1_all.deb
Size: 132512
MD5sum: 7208a5a3ba20387d9c5b31e7fcec7fae
SHA1: dbe945df79099e0c1718037a4aa3fdcb2458f234
SHA256: fca7cbd557fa5cbd0a316923f2843f936db0a9bdfc5704b4b87474a11e6c2afe
SHA512: a9dfb4555bc1f9a04a45c32b3e4b39631faee6d9b78e7dbe5f80012c9e45b238ad3844ddfb3df1dba27aad5f396d26f802c5614136e62e524ead01aeb49a9230
Homepage: https://cran.r-project.org/package=qtkit
Description: CRAN Package 'qtkit' (Quantitative Text Kit)
 Support package for the textbook "An Introduction to Quantitative Text
 Analysis for Linguists: Reproducible Research Using R" (Francom, 2024)
 <doi:10.4324/9781003393764>. Includes functions to acquire, clean, and
 analyze text data as well as functions to document and share the results of
 text analysis. The package is designed to be used in conjunction with the
 book, but can also be used as a standalone package for text analysis.

Package: r-cran-qtl2fst
Architecture: all
Version: 0.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fst, r-cran-qtl2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qtl2fst_0.30-1.ca2004.1_all.deb
Size: 91684
MD5sum: f5d293e3157177f8afcb3d924a95c48f
SHA1: 71b4008aee0cb647c21e63bd24e44316bbaf3b54
SHA256: f103c7dea69f6fd16d3e582edf22c3a41d00d53361582abe1576e368603fca3c
SHA512: 04688ff11af52ddbfda5f54b19c1259414fa4a35dc00b9a1743dc9ad077c1a2667021f1b522e8edfa0bce59c1c1b5e52bbd61d289967c66a8dbf471dc2d7c9b3
Homepage: https://cran.r-project.org/package=qtl2fst
Description: CRAN Package 'qtl2fst' (Database Storage of Genotype Probabilities for QTL Mapping)
 Uses the 'fst' package to store genotype probabilities on disk for the
 'qtl2' package. These genotype probabilities are a central data object for
 mapping quantitative trait loci (QTL), but they can be quite large. The
 facilities in this package enable the genotype probabilities to be stored on
 disk, leading to reduced memory usage with only a modest increase in
 computation time.

Package: r-cran-qtl2pattern
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2035
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-ggplot2, r-cran-assertthat, r-cran-qtl2, r-cran-qtl2fst, r-cran-fst, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-qtl2ggplot
Filename: pool/dists/focal/main/r-cran-qtl2pattern_1.2.1-1.ca2004.1_all.deb
Size: 1097508
MD5sum: 80aa726012fa550df5894192583e5386
SHA1: 59b7f73d4789f69e47f92c8831053d8ee6788cc2
SHA256: bcceb1a48b47991be507a70d34c5d729f70de0b69b9cbe951b604b3f626d6edd
SHA512: a20a377c29d1fd10299fa2fe4e57cff438701d23c6e1d30402949e8c7ef6e1cdbd96d22549ab9ffeb980796337f1e50d7df808f4a2924c9c9e1173b2c667f469
Homepage: https://cran.r-project.org/package=qtl2pattern
Description: CRAN Package 'qtl2pattern' (Pattern Support for 'qtl2' Package)
 Routines in 'qtl2' to study allele patterns in quantitative trait loci (QTL)
 mapping over a chromosome.  Useful in crosses with more than two alleles to
 identify how sets of alleles, genetically different strands at the same
 locus, have different response levels.  Plots show profiles over a
 chromosome.  Can handle multiple traits together.  See
 <https://github.com/byandell/qtl2pattern>.

Package: r-cran-qtlbook
Architecture: all
Version: 0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-qtl
Filename: pool/dists/focal/main/r-cran-qtlbook_0.20-1.ca2004.1_all.deb
Size: 175608
MD5sum: 5352c696e9ee133d0788803a4e2c0863
SHA1: c2b9c3923522ec5468fa425d93d6aced5f3464cc
SHA256: 320c1eda24708d442a99effc8283a9780857b14dd6c881fd1904a8161c247c5f
SHA512: 180502902d6f07dc390caab2b54e5ec9ad9dc1bf3c04ebf4e0d74ac6492a8600df7ab757d05dec0f4ea57f0c39078766669e15f09be00b284375eb38d36b63ab
Homepage: https://cran.r-project.org/package=qtlbook
Description: CRAN Package 'qtlbook' (Datasets for the R/qtl Book)
 Datasets for the book, A Guide to QTL Mapping with R/qtl.  Broman and Sen
 (2009) <doi:10.1007/978-0-387-92125-9>.

Package: r-cran-qtlc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tiff, r-cran-rgl, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-qtlc_1.0-1.ca2004.1_all.deb
Size: 154448
MD5sum: a37c293efa83efb0d076a718f2ee8c06
SHA1: bd4adcdca1b188c50bb2cdcd825529ea841db79d
SHA256: 23503f3fdfcd78519c7fd5cea1c288999d1dd96f5b5a004076c489e0c0b16b54
SHA512: e47e84c1315cc6fa2b99a7aa9cf92e2b0f44ba256245f1fad34e5c8726ef994d3749c11551ac4dcdf6f596f946d6bc0b70904db941594442072204cc5ab0156c
Homepage: https://cran.r-project.org/package=qtlc
Description: CRAN Package 'qtlc' (Densitometric Analysis of Thin-Layer Chromatography Plates)
 Densitometric evaluation of the photo-archived quantitative thin-layer
 chromatography (TLC) plates.

Package: r-cran-qtlcharts
Architecture: all
Version: 0.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1831
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-qtl, r-cran-htmlwidgets
Suggests: r-cran-htmltools, r-cran-jsonlite, r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qtlcharts_0.18-1.ca2004.1_all.deb
Size: 683568
MD5sum: 9d52c607e160352f2d976ccc37ff75c0
SHA1: 22c925d96b6be7acdc0966349665ddf5ca9c44d7
SHA256: a1d3976848c60f3cc4ba640ce147bb55591633b5b50f57b680223e26ee2c7b5f
SHA512: ab5193b3a6558ab5f93aa31ca127497cc01ce7a6122a4d8fa3ad72a3444b14410c3bbc2d5e0158a3f3041a13944037b42822f55d0e2268235d7428481d5ca85d
Homepage: https://cran.r-project.org/package=qtlcharts
Description: CRAN Package 'qtlcharts' (Interactive Graphics for QTL Experiments)
 Web-based interactive charts (using D3.js) for the analysis of experimental
 crosses to identify genetic loci (quantitative trait loci, QTL) contributing
 to variation in quantitative traits.  Broman (2015)
 <doi:10.1534/genetics.114.172742>.

Package: r-cran-qtldesign
Architecture: all
Version: 0.953-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-qtl
Filename: pool/dists/focal/main/r-cran-qtldesign_0.953-1.ca2004.1_all.deb
Size: 98460
MD5sum: f1ef63ffa2c30619f8bfafe1064e17a7
SHA1: b922b3d2fbe7384f2dd4a643e88632c4ffc8688c
SHA256: 1b0be49a5f3e3ff3efa2c1bcef3caba8f459061d91d7609c9861c56094c65760
SHA512: 365318679702f06d18cb34b2482a11b535194466d5784e62a2a1f1f0c1182217ca09f7327dbe82b7aed1564679c5db082779bc8eeac799e751f072e750174d16
Homepage: https://cran.r-project.org/package=qtlDesign
Description: CRAN Package 'qtlDesign' (Design of QTL (Quantitative Trait Locus) Experiments)
 Design of QTL (quantitative trait locus) experiments involves choosing which
 strains to cross, the type of cross, genotyping strategies, phenotyping
 strategies, and the number of progeny to raise and phenotype. This package
 provides tools to help make such choices.  Sen and others (2007)
 <doi:10.1007/s00335-006-0090-y>.

Package: r-cran-qtlemm
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-qtlemm_3.0.1-1.ca2004.1_all.deb
Size: 1106832
MD5sum: 3c5e720c5e62618a81f26df9fd12a678
SHA1: e5ea56efc5995ee80cd4183fe695df938543a00a
SHA256: 411d7cedc141877279e08b38d07b5eb7daf0a0c40985de3998ee8962c6cf072e
SHA512: a8c16db2bf116929044a6b42c46a11d85be627e4e4d651a74e67fd7b7821e61296bc12861c683a511672170f5e28eefc342b8c08f83e41d3e35d0ab58405a4c0
Homepage: https://cran.r-project.org/package=QTLEMM
Description: CRAN Package 'QTLEMM' (QTL EM Algorithm Mapping and Hotspots Detection)
 For QTL mapping, this package comprises several functions designed to
 execute diverse tasks, such as simulating or analyzing data, calculating
 significance thresholds, and visualizing QTL mapping results. The single-QTL
 or multiple-QTL method, which enables the fitting and comparison of various
 statistical models, is employed to analyze the data for estimating QTL
 parameters. The models encompass linear regression, permutation tests,
 normal mixture models, and truncated normal mixture models. The Gaussian
 stochastic process is utilized to compute significance thresholds for QTL
 detection on a genetic linkage map within experimental populations. Two
 types of data, complete genotyping, and selective genotyping data from
 various experimental populations, including backcross, F2, recombinant
 inbred (RI) populations, and advanced intercrossed (AI) populations, are
 considered in the QTL mapping analysis. For QTL hotspot detection,
 statistical methods can be developed based on either utilizing
 individual-level data or summarized data. We have proposed a statistical
 framework capable of handling both individual-level data and summarized QTL
 data for QTL hotspot detection. Our statistical framework can overcome the
 underestimation of thresholds resulting from ignoring the correlation
 structure among traits. Additionally, it can identify different types of
 hotspots with minimal computational cost during the detection process. Here,
 we endeavor to furnish the R codes for our QTL mapping and hotspot detection
 methods, intended for general use in genes, genomics, and genetics studies.
 The QTL mapping methods for the complete and selective genotyping designs
 are based on the multiple interval mapping (MIM) model proposed by Kao,
 C.-H. , Z.-B. Zeng and R. D. Teasdale (1999) <doi:
 10.1534/genetics.103.021642> and H.-I Lee, H.-A. Ho and C.-H. Kao (2014)
 <doi: 10.1534/genetics.114.168385>, respectively. The QTL hotspot detection
 analysis is based on the method by Wu, P.-Y., M.-.H. Yang, and C.-H. Kao
 (2021) <doi: 10.1093/g3journal/jkab056>.

Package: r-cran-qtlnet
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4666
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-qtl, r-cran-igraph, r-cran-sem, r-bioc-graph, r-cran-pcalg
Filename: pool/dists/focal/main/r-cran-qtlnet_1.5.4-1.ca2004.1_all.deb
Size: 4615460
MD5sum: e652d2f40c8949cbc680061fd0e26e51
SHA1: 2fd00f1242ecfbc601ddbe987396420f905795dc
SHA256: e8258ca354104286ac4fb42810607363527e07315a84d21be3ac2b3525b29c12
SHA512: 5956c94e3b6170a63e23813180c1872d7b4f8e678f37e0bc290e0d9db1dd69a6b39126cf5e548b71dac2ea79b75fc41cc6c289c998227c1f06e969f6e819a596
Homepage: https://cran.r-project.org/package=qtlnet
Description: CRAN Package 'qtlnet' (Causal Inference of QTL Networks)
 Functions to Simultaneously Infer Causal Graphs and Genetic Architecture.
 Includes acyclic and cyclic graphs for data from an experimental cross with
 a modest number (<10) of phenotypes driven by a few genetic loci (QTL).
 Chaibub Neto E, Keller MP, Attie AD, Yandell BS (2010) Causal Graphical
 Models in Systems Genetics: a unified framework for joint inference of
 causal network and genetic architecture for correlated phenotypes.  Annals
 of Applied Statistics 4: 320-339.  <doi:10.1214/09-AOAS288>.

Package: r-cran-qtocen
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rgenoud, r-cran-quantreg, r-cran-rdpack, r-cran-matrixmodels
Suggests: r-cran-stringr, r-cran-testthat, r-cran-faraway, r-cran-quantoptr, r-cran-survminer
Filename: pool/dists/focal/main/r-cran-qtocen_0.1.1-1.ca2004.1_all.deb
Size: 130288
MD5sum: f3359647fdbf0575f0d6aa1f176fef68
SHA1: bee5007ed1161016bfb43c1e0f2b478dfcc2c273
SHA256: 0ceecd1fd072849d308ef224eb932bd950eb2fd867139f18274e20b26bdc1188
SHA512: 2981de1dcb5e2202a0f33608a5aeabb8f86359e2a0f0c027d4305961c03dcdffdb1c435b2b80818d6f479d9dd2958804bdd6eda48dbd972d3eb5ca3abbdd0993
Homepage: https://cran.r-project.org/package=QTOCen
Description: CRAN Package 'QTOCen' (Quantile-Optimal Treatment Regimes with Censored Data)
 Provides methods for estimation of mean- and quantile-optimal treatment
 regimes from censored data.  Specifically, we have developed distinct
 functions for three types of right censoring for static treatment using
 quantile criterion: (1) independent/random censoring, (2)
 treatment-dependent random censoring, and (3) covariates-dependent random
 censoring. It also includes a function to estimate quantile-optimal dynamic
 treatment regimes for independent censored data. Finally, this package also
 includes a simulation data generative model of a dynamic treatment
 experiment proposed in literature.

Package: r-cran-qtwacademic
Architecture: all
Version: 2022.12.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2456
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qtwacademic_2022.12.13-1.ca2004.1_all.deb
Size: 1690284
MD5sum: c6e3e0b332e979bd5c17f318464024aa
SHA1: bf74f45899c12767eb78985818bcdab682195f2a
SHA256: 0c076acc425a400d1973773641d0bf297bbad7833a3631fd975bfb811133b290
SHA512: 0ef5ec27f20ecafacf09a45612d8debf0e5cb8176308ac7439cf660ed98d0055623adc46b9adfa45d3dd7da27d11f64a0ec5b8c672a6f1a628fcd72d14f72118
Homepage: https://cran.r-project.org/package=qtwAcademic
Description: CRAN Package 'qtwAcademic' ('Quarto' Website Templates for Academics)
 Provides three 'Quarto' website templates as an R project, which are
 commonly used by academics.  Templates for personal websites and
 course/workshop websites are included, as well as a template with minimal
 content for customization.

Package: r-cran-quad
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pearsonds
Filename: pool/dists/focal/main/r-cran-quad_1.0-1.ca2004.1_all.deb
Size: 30428
MD5sum: 2ad72b7969d504678ef2bc40388b183d
SHA1: 3811d65f708b5eec2a6cc491821f9fe5917dafa6
SHA256: 88cf6e811dd0ba9ed534b88c67ade58618e7c3dc76551f83aaf62059b0d64640
SHA512: ac89bb793aa5ae1d6d2164330680de75a229ea91399e39205184c7c7f82eff6661b5e81d5e0349ce96545ccb85d3a42f8363009f217e5c1f43bd84a2c819711a
Homepage: https://cran.r-project.org/package=quad
Description: CRAN Package 'quad' (Exact permutation moments of quadratic form statistics)
 This package gives you the exact first four permutation moments for the most
 commonly used quadratic form statistics, which need not be positive
 definite. The extension of this work to quadratic forms greatly expands the
 utility of density approximations for these problems, including for
 high-dimensional applications, where the statistics must be extreme in order
 to exceed stringent testing thresholds. Approximate p-values are obtained by
 matching the exact moments to the Pearson family of distributions using the
 PearsonDS package.

Package: r-cran-quadcleanr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3004
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-testthat, r-cran-tidyr, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-quadcleanr_1.1.0-1.ca2004.1_all.deb
Size: 2435480
MD5sum: cf19fdc77a4e10109feda08ae810f235
SHA1: c11e61ac2dd59a6613ba7dc713a9afe078e144d6
SHA256: 6c055fc845a68f1df9661a6545cae137667bac1d34b3ac3bc84d0731035e6571
SHA512: e87743a9a5e794f595b86377982a22ad35067f43b696a8ac88089e3ca149d7823920b7cde65f55f236845d5e36bb22f8203aaacf8dddb2d494b234b909c94434
Homepage: https://cran.r-project.org/package=quadcleanR
Description: CRAN Package 'quadcleanR' (Cleanup and Visualization of Quadrat Data)
 A tool that can be customized to aid in the clean up of ecological data
 collected using quadrats and can crop quadrats to ensure comparability
 between quadrats collected under different methodologies.

Package: r-cran-quadform
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mathjaxr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quadform_0.0-2-1.ca2004.1_all.deb
Size: 92412
MD5sum: 28602c5f1619f643440dc6eb99a5f854
SHA1: 7913b5f4788700e7b0f18ecae5d69bb81ab4a59f
SHA256: 851d8cc90680e06fc61382622e7dfacb5a0674cffb2f20428fa10649c8c77a23
SHA512: d8ee4c07be9166ad7dd221f410e70a747e4bdf55dbb1672d343a48c85fbd9f02f069d5d4818b82215a8fed0c5312a40dd8755b7b0063fb6b0f1923e227cce096
Homepage: https://cran.r-project.org/package=quadform
Description: CRAN Package 'quadform' (Efficient Evaluation of Quadratic Forms)
 A range of quadratic forms are evaluated, using efficient methods.
 Unnecessary transposes are not performed.  Complex values are handled
 consistently.

Package: r-cran-quadkeyr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-shiny, r-cran-stars
Suggests: r-cran-bslib, r-cran-dt, r-cran-ggplot2, r-cran-knitr, r-cran-leaflet, r-cran-magick, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-shinytest2, r-cran-testthat, r-cran-tidyr, r-cran-viridis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-quadkeyr_0.1.0-1.ca2004.1_all.deb
Size: 4181132
MD5sum: cb1c77e2122b68a117d1c1c5499046c0
SHA1: 8ed980405aa29a9f0a460793cf29af15e29a4ea6
SHA256: 98377881e9d84c7ca3c345f0125252b572bfd73c7d4abc5ca6aed7e2ad61a5ae
SHA512: 55ce1a04564777fe30219821f2afce518a149f42452158ace28ad2d2ff9b6bde419c02233b4348562a1875bcd483e8947daab5c9fcc0d109017967517e3a37e1
Homepage: https://cran.r-project.org/package=quadkeyr
Description: CRAN Package 'quadkeyr' (Generate Raster Images from QuadKey-Identified Datasets)
 A set of functions of increasing complexity allows users to (1) convert
 QuadKey-identified datasets, based on 'Microsoft's Bing Maps Tile System',
 into Simple Features data frames, (2) transform Simple Features data frames
 into rasters, and (3) process multiple 'Meta' ('Facebook')
 QuadKey-identified human mobility files directly into raster files.  For
 more details, see D’Andrea et al. (2024) <doi:10.21105/joss.06500>.

Package: r-cran-quadmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixcalc, r-cran-geigen
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-quadmatrix_0.1.0-1.ca2004.1_all.deb
Size: 10756
MD5sum: 27c137465152d635021298f13100657d
SHA1: 945dac5d2103db79b18a1b546af764660f47e56f
SHA256: a3f4a920d50f902ce71a6d21c8f620410fc76faa1f1387779721c72526105cb6
SHA512: 2d00396c87e98710cdd779d32938cf50687fa1462252f6e1687cd74dfe600353336bf24e0179d1f86f2d15cd2c11cbf5de9ce5ee967814cc34e907960cdda0f9
Homepage: https://cran.r-project.org/package=quadmatrix
Description: CRAN Package 'quadmatrix' (Solving Quadratic Matrix Equations)
 Given inputs A,B and C, this package solves the matrix equation A*X^2 - B*X
 - C = 0.

Package: r-cran-quadmesh
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2534
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-raster, r-cran-gridbase, r-cran-png, r-cran-sp, r-cran-geometry, r-cran-reproj, r-cran-scales, r-cran-palr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-quadmesh_0.5.5-1.ca2004.1_all.deb
Size: 2449236
MD5sum: 8d4a77e49fc73ab8e11c0d2c102d9fca
SHA1: 129c314d47f2f87eaf08a14146cbefe55b4048a1
SHA256: 3984b2751eef47465f46eef0bc601444506eb7e4740d4e61163865dc9a393735
SHA512: adc9d2c9e80fc1beae3a46abd8379c859fb44198365d3e066cf0a1e603e11ba045e7cab7a564a2f0ce656dccfc7764bf8b279b0a2957d8bd33ea2107d21e3337
Homepage: https://cran.r-project.org/package=quadmesh
Description: CRAN Package 'quadmesh' (Quadrangle Mesh)
 Create surface forms from matrix or 'raster' data for flexible plotting and
 conversion to other mesh types. The functions 'quadmesh' or 'triangmesh'
 produce a continuous surface as a 'mesh3d' object as used by the 'rgl'
 package. This is used for plotting raster data in 3D (optionally with
 texture), and allows the application of a map projection without data loss
 and many processing applications that are restricted by inflexible regular
 grid rasters.  There are discrete forms of these continuous surfaces
 available with 'dquadmesh' and 'dtriangmesh' functions.

Package: r-cran-quadprogxt
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-quadprogxt_0.0.6-1.ca2004.1_all.deb
Size: 25660
MD5sum: 13275fce6a89fea23895c24943998c37
SHA1: 76a6bee848392b7e1de0ee8add6056d2760168e9
SHA256: 189b76a831f3e8545b36186c92058d582c726c75f6aef2cb984fad192ccad47a
SHA512: 0568e64cb331364e5ce80a350a3ff1e5685d9638b8286a85403aed4709ef5fac3f783819ce87a7584bb365e292e5ab66c0a6aae419bc38570688c2da61748008
Homepage: https://cran.r-project.org/package=quadprogXT
Description: CRAN Package 'quadprogXT' (Quadratic Programming with Absolute Value Constraints)
 Extends the quadprog package to solve quadratic programs with absolute value
 constraints and absolute values in the objective function.

Package: r-cran-quadraticsd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-quadraticsd_0.1.0-1.ca2004.1_all.deb
Size: 20968
MD5sum: 7e417099170a237868d16d40b4d70016
SHA1: aca50d3d402214d37f3cfd0577d736faac3b7d0a
SHA256: f5ce8f856fe85f203f3b0a8d9ddf735d01c9be36acc3e6df95506a7be7752968
SHA512: 2266a9f9d01c05340172c3cb907a693be72378ac3dbb9bf7860cd5d8f065e29640debead8b345f2ae60e4191f83d9659e3c5279d464c330ab6b932060400ddd8
Homepage: https://cran.r-project.org/package=quadraticSD
Description: CRAN Package 'quadraticSD' (Visualizing the SD using a Quadratic Curve)
 Given a dataset, the user is invited to utilize the Empirical Cumulative
 Distribution Function (ECDF) to guess interactively the mean and the mean
 deviation. Thereafter, using the quadratic curve the user can guess the Root
 Mean Squared Deviation (RMSD) and visualize the standard deviation (SD).
 For details, see Sarkar and Rashid (2019)<doi:10.3126/njs.v3i0.25574>, Have
 You Seen the Standard Deviaton?, Nepalese Journal of Statistics, Vol. 3,
 1-10.

Package: r-cran-quadroot
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quadroot_0.2.1-1.ca2004.1_all.deb
Size: 14628
MD5sum: 670e83a57283f36949eedb1a6f898da5
SHA1: b10933605015d63df27fce8f494ea4e672b5d16d
SHA256: edeefa2a64f64652c98f87578c038d668dd66423f45c82b462f15572d8fce25e
SHA512: f35c7a7ead6e7f195509fdf9f9fdfb55c0d8219410bea99da6fc82e5844ee5301da5f71bcd5647a3fe155204c09a672289987bc3252360704e40223a8cff5ff9
Homepage: https://cran.r-project.org/package=QuadRoot
Description: CRAN Package 'QuadRoot' (Quadratic Root for any Quadratic Equation)
 It will assist the user to find simple quadratic roots from any quadratic
 equation.

Package: r-cran-quadvar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-ncvreg, r-cran-qgraph, r-cran-ramp, r-cran-rlang, r-cran-shiny, r-cran-shinythemes, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-nonlineartseries, r-cran-remotes, r-cran-sis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quadvar_0.1.2-1.ca2004.1_all.deb
Size: 133684
MD5sum: 116b7d41147926ce530fdda496922584
SHA1: 0cbe01237d70b7c8574b6d982d035d6eed6046e6
SHA256: 1373b0835860c2902038f0632aa782c5272195bd19b7311345f7ef3f09c5d175
SHA512: ab3cdfd606fefbfb4b2e656ae753b74362719e51bb9c92a4bb328654c409c41774bda4c527bc70ec9a8925343fc7d8614bf4b49dafee294faff6ea09691e0034
Homepage: https://cran.r-project.org/package=quadVAR
Description: CRAN Package 'quadVAR' (Quadratic Vector Autoregression)
 Estimate quadratic vector autoregression models with the strong hierarchy
 using the Regularization Algorithm under Marginality Principle (RAMP) by Hao
 et al. (2018) <doi:10.1080/01621459.2016.1264956>, compare the performance
 with linear models, and construct networks with partial derivatives.

Package: r-cran-qualci
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-qualci_0.1-1.ca2004.1_all.deb
Size: 41200
MD5sum: e5d14e0bd6e479a33a6246db0560006c
SHA1: ff0407b9cf4e2affdd79570637f8d98645f8285f
SHA256: 2d8ea2125d59d8a0ea3961c4652c7e20b960754a57933895a717004b2491514a
SHA512: 2ccb1e873ee0c221b0db5a358232eedfb23dca0ddf07ca1c0b26d6a6218a7e2baeb160c5b4152a4ee46903bb524664c79c6931d7cdab30e45e9ddf8cc34e29e4
Homepage: https://cran.r-project.org/package=qualCI
Description: CRAN Package 'qualCI' (Causal Inference with Qualitative and Ordinal Information onOutcomes)
 Exact one-sided p-values and confidence intervals for an outcome variable
 defined on an interval measurement scale with only qualitative and ordinal
 information available.

Package: r-cran-qualint
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-qualint_1.0.0-1.ca2004.1_all.deb
Size: 261376
MD5sum: 7e051955b314d75457d35b9eafefc076
SHA1: 276e13b38c1f934797b3c37360c0feb4f893b1e7
SHA256: 34224f0fe459e2db97135d8bcecd6156ad752e3d8c306bdb9ca9ebcf91d465a4
SHA512: c0bb57a592b1d0ee939bd43a85766ebb0cf636e3d6fd26cebde883d96dfce07edfcc3cfb560c8a55405eedcbcc600859e5353853ab8b5e81aef6e3460e01505a
Homepage: https://cran.r-project.org/package=QualInt
Description: CRAN Package 'QualInt' (Test for Qualitative Interactions)
 Used for testing for qualitative interactions between treatment effects and
 patient subgroups. Here the term treatment effect means a comparison result
 of two treatments within each patient subgroup.  Models included in this
 package are Gaussian, binomial and Cox models.  Methods included here are
 interval based graphical approach and Gail Simon LRT.

Package: r-cran-qualitycontrol
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-janitor, r-cran-openxlsx, r-cran-readxl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qualitycontrol_0.1.0-1.ca2004.1_all.deb
Size: 61064
MD5sum: 994550992740bde152740850050a80f6
SHA1: 724bd3de50b17580701cd62102bb8f7c4babf25a
SHA256: 5b1247f9c12d07c63f1b459a44490be6fe22e0d4aadb2013d4ae7513d05f8ecc
SHA512: 897b40afeda17c7a10284fbe1bc259d4544d51599075ed2bd26131eeae0b9d2027e2731fc8adccadc251723ad21f2bf1458806cdc3da21bd3f4d3dbd75f27d53
Homepage: https://cran.r-project.org/package=qualitycontrol
Description: CRAN Package 'qualitycontrol' (Unified Framework for Data Quality Control)
 An easy framework to set a quality control workflow on a dataset.  Includes
 a various range of functions that allow to establish an adaptable data
 quality control.

Package: r-cran-qualmap
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-leaflet, r-cran-purrr, r-cran-rlang, r-cran-sf
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-testthat, r-cran-tigris, r-cran-tidycensus, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qualmap_0.2.2-1.ca2004.1_all.deb
Size: 837120
MD5sum: a5db3f3e327c4c5895394b4626c83a1f
SHA1: 8e877b0278164cd294fd8a8f37127fea354bc6ce
SHA256: 387875240f7fe781dc73f2bdacdebbd7be8883ca399e9917be63d218b5afc018
SHA512: fe484258af33bd65301cd98159b689715b288cbb975177affd51106be0dd67bc2ad19ce9c4f4a89b5269fe12cb2a5fe60a6c7600619c97a83a1a8a4ae59b6240
Homepage: https://cran.r-project.org/package=qualmap
Description: CRAN Package 'qualmap' (Opinionated Approach for Digitizing Semi-Structured QualitativeGIS Data)
 Provides a set of functions for taking qualitative GIS data, hand drawn on a
 map, and converting it to a simple features object. These tools are focused
 on data that are drawn on a map that contains some type of polygon features.
 For each area identified on the map, the id numbers of these polygons can be
 entered as vectors and transformed using qualmap.

Package: r-cran-qualtrics
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sjlabelled, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-qualtrics_3.2.1-1.ca2004.1_all.deb
Size: 257172
MD5sum: fa645ff17f332a71f9d9b4b717b95bb2
SHA1: aa9500b909d2cc2b99f9dabe14b1adeb24817154
SHA256: d8d21fa7faf2a9449bcff02662c0d157e893f7444c8d9cc93e6e1eecba4f4ff8
SHA512: 6a69f953386111f23bf8f67a4beeff46f8f6b5ddd007887dcb80726d80ecd18af9747e1ff5cde37b6e8df926381fe28de42ca0fc5c61b37c7a478f0c93de2736
Homepage: https://cran.r-project.org/package=qualtRics
Description: CRAN Package 'qualtRics' (Download 'Qualtrics' Survey Data)
 Provides functions to access survey results directly into R using the
 'Qualtrics' API. 'Qualtrics' <https://www.qualtrics.com/about/> is an online
 survey and data collection software platform. See
 <https://api.qualtrics.com/> for more information about the 'Qualtrics' API.
 This package is community-maintained and is not officially supported by
 'Qualtrics'.

Package: r-cran-qualvar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggally, r-cran-dt
Filename: pool/dists/focal/main/r-cran-qualvar_0.2.0-1.ca2004.1_all.deb
Size: 186180
MD5sum: dac443f2ec097c4c0c95f3633c40f6ab
SHA1: 314597c340fc689a20bd64b2c97f78d0a5bb161c
SHA256: fb37ece53de5ba82c2ee2ec2dc81adf33ae808acef7a3967935f1d6ce73ada2a
SHA512: 2e9f66119c2d3c0df22634322f6cbd6d84f33e2405d5e36cc82d48cef9d36e4b6d5561a088adcbfae25f988b7a9f38d25d8abea98a139b324688cf25f58a505b
Homepage: https://cran.r-project.org/package=qualvar
Description: CRAN Package 'qualvar' (Implements Indices of Qualitative Variation Proposed by Wilcox(1973))
 Implements indices of qualitative variation proposed by Wilcox (1973).

Package: r-cran-qualypso
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-expm, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-qualypso_2.3-1.ca2004.1_all.deb
Size: 152624
MD5sum: 6da3074e6aa88de99083de2d08ac07d3
SHA1: e5263bd24f5a06cee73147bcdd00f12318e34197
SHA256: 99dc059bc3d92724a22eb869fc1d084fe135d0798e57f59d81ac126286e4d7ce
SHA512: 3b34a73c2e0ce4ff42582810505979a23be657faaa6a3bd514c2fab85e8f95e93103abba4c84151dc05382b9cd01dde61e05af35c0d9643ea3d66310aca763f6
Homepage: https://cran.r-project.org/package=QUALYPSO
Description: CRAN Package 'QUALYPSO' (Partitioning Uncertainty Components of an Incomplete Ensemble ofClimate Projections)
 These functions use data augmentation and Bayesian techniques for the
 assessment of single-member and incomplete ensembles of climate projections.
 It provides unbiased estimates of climate change responses of all simulation
 chains and of all uncertainty variables. It additionally propagates
 uncertainty due to missing information in the estimates.  - Evin, G., B.
 Hingray, J. Blanchet, N. Eckert, S. Morin, and D. Verfaillie. (2019)
 <doi:10.1175/JCLI-D-18-0606.1>.

Package: r-cran-qualypsoss
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-mass, r-cran-mvtnorm, r-cran-ggthemes, r-cran-qualypso
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-qualypsoss_1.1.1-1.ca2004.1_all.deb
Size: 265012
MD5sum: a8a4a563e08b0f9a46f4e9e32a796b72
SHA1: ab075adbb4d2c10981a2ef3671a67c756210637e
SHA256: 5b135b4700f9ad9405500b9d9de7349160711ac20ea6b0bd005fd8bda19d4469
SHA512: aad1bb9d9b584be94bf2bb5d847e145c36c9b805fb5a8731b8755331b0513561f046383be27cc77851daca6e5349e0ecda6cb34a90bfa73c7392da3693685732
Homepage: https://cran.r-project.org/package=qualypsoss
Description: CRAN Package 'qualypsoss' (Uncertainties of Climate Projections using Smoothing Splines)
 These functions use smoothing-splines for the assessment of single-member
 ensembles of climate projections.  - Cheng, C.-I. and P. L. Speckman (2012)
 <doi:10.1016/j.csda.2012.05.020>.

Package: r-cran-quandl
Architecture: all
Version: 2.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-httr, r-cran-zoo, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-timeseries
Filename: pool/dists/focal/main/r-cran-quandl_2.11.0-1.ca2004.1_all.deb
Size: 68404
MD5sum: 9f4033ddcaf8de386b3808668e9d1e63
SHA1: 9d9bd9fca8af4baba242e3bbacb28580937312d1
SHA256: 88443445214329288c903919dc32feda63cba2d4404ee94cb1efd5c86afe0085
SHA512: e638b84968efc658deeb701d80ec52667a6d8fdce205b15e34afd9a76be037215fad84b62e594c20f9dc8d66df4f6b88f652e10eb3b2158204a8933fe13072b3
Homepage: https://cran.r-project.org/package=Quandl
Description: CRAN Package 'Quandl' (API Wrapper for Quandl.com)
 Functions for interacting directly with the Quandl API to offer data in a
 number of formats usable in R, downloading a zip with all data from a Quandl
 database, and the ability to search. This R package uses the Quandl API. For
 more information go to <https://docs.quandl.com>. For more help on the
 package itself go to <https://www.quandl.com/tools/r>.

Package: r-cran-quantable
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 706
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rcolorbrewer, r-cran-caret, r-cran-dplyr, r-cran-e1071, r-cran-ggplot2, r-cran-ggrepel, r-cran-gplots, r-cran-readr, r-cran-reshape2, r-cran-rlang, r-cran-plyr, r-cran-proc, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-quantable_0.3.6-1.ca2004.1_all.deb
Size: 671792
MD5sum: 2256bb0cd50add12bc1e31eac72bb951
SHA1: a96b55d45a512d59865ee4d26f3a19039d38da99
SHA256: f905472858688c0d77bf1800680f3f72474a1ed16b464649af9b25cbe43378ff
SHA512: ffd021d6365174388d95825a7243a282ade47054db63c3f9875858caf739457452530905e957fe5b81ad2ae93ef0e0f89538befaba92ea84b1b82ca003c97eae
Homepage: https://cran.r-project.org/package=quantable
Description: CRAN Package 'quantable' (Streamline Descriptive Analysis of Quantitative Data Matrices)
 Methods which streamline the descriptive analysis of quantitative matrices.
 Matrix columns are samples while rows are features i.e. proteins, genes.
 Includes methods for visualization (e.g. Heatmaps, Volcanos, pairwise QQ,
 Bland-Altman plot), summary statistics (e.g. CV), data normalization methods
 (e.g. robustscale). Read function for Progenesis.

Package: r-cran-quantbondcurves
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 488
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-quantdates, r-cran-rsolnp
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-quantbondcurves_0.3.1-1.ca2004.1_all.deb
Size: 301764
MD5sum: a7585978e4f70a3fa701192ccd20471f
SHA1: 8b94dc455b5c98badce7858da9451b51d687e366
SHA256: bfbafa143c1a5c02d3fda8ed67cd5d6bf4e9dc4bea681fba80bf0fa47ee3ad5b
SHA512: 84953fbeb5f6a36098ace27ce8f4e0439fe6a9e8a1b54449b4d2b86b7a71a9ba64c0bbd0e0055bc3b4a1668f9e9617bec8bc6f0ed5293a4060aa6086ba10ec36
Homepage: https://cran.r-project.org/package=QuantBondCurves
Description: CRAN Package 'QuantBondCurves' (Calculates Bond Values and Interest Rate Curves for Finance)
 Values different types of assets and calibrates discount curves for
 quantitative financial analysis. It covers fixed coupon assets, floating
 note assets, interest and cross currency swaps with different payment
 frequencies. Enables the calibration of spot, instantaneous forward and
 basis curves, making it a powerful tool for accurate and flexible bond
 valuation and curve generation. The valuation and calibration techniques
 presented here are consistent with industry standards and incorporates
 author's own calculations. Tuckman, B., Serrat, A. (2022, ISBN:
 978-1-119-83555-4).

Package: r-cran-quantcurves
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth, r-cran-locpol, r-cran-np, r-cran-quantreg, r-cran-quantreggrowth
Filename: pool/dists/focal/main/r-cran-quantcurves_1.0.0-1.ca2004.1_all.deb
Size: 59388
MD5sum: 730beb324aff7ce01424e3edf33daf25
SHA1: a8aa2c1e9e5fc88dc395521bb784f6b4c66587dd
SHA256: 482944117a5a2b56dad857761199c5a0dd3caedb33b4e79746589bb97f46c53f
SHA512: 6e1efa07e3a7f188e1eeace687d5786a08bdf87482197214d2b9ddec86a8d3dc3def37002f54164b577ecf21755fa92421ca6f29b871988404c9cc67321c644b
Homepage: https://cran.r-project.org/package=quantCurves
Description: CRAN Package 'quantCurves' (Estimate Quantiles Curves)
 Non-parametric methods as local normal regression, polynomial local
 regression and penalized cubic B-splines regression are used to estimate
 quantiles curves. See Fan and Gijbels (1996) <doi:10.1201/9780203748725> and
 Perperoglou et al.(2019) <doi:10.1186/s12874-019-0666-3>.

Package: r-cran-quantdates
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-quantdates_2.0.4-1.ca2004.1_all.deb
Size: 210508
MD5sum: 769c9fe51fa82a18ef1bbf7237f3afd9
SHA1: 9924fdd13a47f8d2099005779ff1b2d142f65ea2
SHA256: 3b122e38819731b1b76f4f691c9ae7d965e65e461842cfd445aa274f94ab8262
SHA512: dd348751b6c7ddc6260d8ae3250f31a537c643315cd5c22d695f7f9bde724c1be5f60c7ae6831ece473cabeef0a28b7e96f4b7083140161decc94ac3ae2f1406
Homepage: https://cran.r-project.org/package=quantdates
Description: CRAN Package 'quantdates' (Manipulate Dates for Finance)
 Functions to manipulate dates and count days for quantitative finance
 analysis. The 'quantdates' package considers leap, holidays and business
 days for relevant calendars in a financial context to simplify quantitative
 finance calculations, consistent with International Swaps and Derivatives
 Association (ISDA) (2006) <https://www.isda.org/book/2006-isda-definitions/>
 regulations.

Package: r-cran-quantdr
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 746
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dr, r-cran-kernsmooth, r-cran-mvtnorm, r-cran-quantreg
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-pracma, r-cran-mass, r-cran-performanceanalytics, r-cran-png
Filename: pool/dists/focal/main/r-cran-quantdr_1.2.2-1.ca2004.1_all.deb
Size: 508664
MD5sum: 8bb6d2d9c6958e6a76469a130be06844
SHA1: 282a3672698633faac284caa86c9e60cd3504c5b
SHA256: b82c03366ffdc50f0f4ee44f2e7bdd564009fb1f91c0a516ee8537cc2169f4a2
SHA512: 0e85228ca30b9f0b87306df7d3548ff7fa397c2f5f7f16a6eb055b09042d86240220fb35daacff74b7c0d3a59ac7a7c8238dd9807d4cea3da60c34af89a31efa
Homepage: https://cran.r-project.org/package=quantdr
Description: CRAN Package 'quantdr' (Dimension Reduction Techniques for Conditional Quantiles)
 An implementation of dimension reduction techniques for conditional
 quantiles. Nonparametric estimation of conditional quantiles is also
 available.

Package: r-cran-quantetrack
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3801
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-berryfunctions, r-cran-car, r-cran-dplyr, r-cran-dtw, r-cran-dunn.test, r-cran-emmeans, r-cran-geomorph, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-magrittr, r-cran-mclust, r-cran-nistunits, r-cran-schoolmath, r-cran-shotgroups, r-cran-similaritymeasures, r-cran-splancs, r-cran-stringr, r-cran-trajr
Suggests: r-cran-knitr, r-cran-rgl, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quantetrack_0.1.0-1.ca2004.1_all.deb
Size: 1925944
MD5sum: ed8a4f2c248cc6a48443ba50d1098c9c
SHA1: 7adb36092db6ea7c9e4841a5a0731cde086f539e
SHA256: 5f1815677d08aa91699928f43022930e0c43fcea652111db0e31729a1f78f2b9
SHA512: 0b8b1bd1d562ae1cc21f506c1a255a86f363cd3097cd26e248ec6a96665c846b99368f777a57a83b095267f150ae4972a600f914bb78dae95403ba738700ba14
Homepage: https://cran.r-project.org/package=QuAnTeTrack
Description: CRAN Package 'QuAnTeTrack' (Quantitative Analysis of Tetrapod Trackways)
 A quantitative and automated tool to extract (palaeo)biological information
 (i.e., measurements, velocities, similarity metrics, etc.) from the analysis
 of tetrapod trackways.  Methods implemented in the package draw from several
 sources, including Alexander (1976) <doi:10.1038/261129a0>, Batschelet
 (1981, ISBN:9780120810505), Benhamou (2004)
 <doi:10.1016/j.jtbi.2004.03.016>, Bovet and Benhamou (1988)
 <doi:10.1016/S0022-5193(88)80038-9>, Cheung et al. (2007)
 <doi:10.1007/s00422-007-0158-0>, Cheung et al. (2008)
 <doi:10.1007/s00422-008-0251-z>, Cleasby et al. (2019)
 <doi:10.1007/s00265-019-2761-1>, Farlow et al. (1981)
 <doi:10.1038/294747a0>, Ostrom (1972) <doi:10.1016/0031-0182(72)90049-1>,
 Rohlf (2008) <https://sbmorphometrics.org/>, Rohlf (2009)
 <https://sbmorphometrics.org/>, Ruiz and Torices (2013)
 <doi:10.1080/10420940.2012.759115>, Scrucca et al. (2016)
 <doi:10.32614/RJ-2016-021>, Thulborn and Wade (1984)
 <https://www.museum.qld.gov.au/collections-and-research/memoirs/nature-21/mqm-n21-2-11-thulborn-wade>.

Package: r-cran-quantification
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-quantification_0.2.0-1.ca2004.1_all.deb
Size: 76844
MD5sum: 3f14127b9d853541b7341f020afc1d04
SHA1: 484a44873eea1549e91460bed560dd6cffb7391e
SHA256: 5a45489aeffba8d17d0719b6bb81fcf808d0d6e81ac8682b5ffccc9c1766a952
SHA512: 3145f80f61b86937afd358239f49ab13829d2e002e705913056bdd5f38ca64da77765730542efd12751937f8c6d9223b62cf9db833a47b26987ef4e87f9f98fb
Homepage: https://cran.r-project.org/package=quantification
Description: CRAN Package 'quantification' (Quantification of Qualitative Survey Data)
 Provides different functions for quantifying qualitative survey data. It
 supports the Carlson-Parkin method, the regression approach, the balance
 approach and the conditional expectations method.

Package: r-cran-quantileda
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quantileda_1.2-1.ca2004.1_all.deb
Size: 76332
MD5sum: f1863af4765812ae467ae9022bdf1207
SHA1: f593a2d38f20a0bb3113aeea0d045dfa721d59b1
SHA256: 89a296a4d9906617beaa71186b36b9772c7b8547dc9aa454a2fbbe95eed63332
SHA512: 83818d6798551ac9690b564c3e3913baa83cecaafc94edc41fc16801230bdd77b8206eace39b5e7469c26110a44581529c520417d48cebd3d2c64f3a38072029
Homepage: https://cran.r-project.org/package=quantileDA
Description: CRAN Package 'quantileDA' (Quantile Classifier)
 Code for centroid, median and quantile classifiers.

Package: r-cran-quantilegh
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mixtools, r-cran-tclust, r-cran-fmx, r-cran-tukeygh77
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mixsmsn
Filename: pool/dists/focal/main/r-cran-quantilegh_0.1.8-1.ca2004.1_all.deb
Size: 100752
MD5sum: 310a0eb922098a4765fcac535e53ea8d
SHA1: 3660a491444f96cdc5c160ee46c74e30454871fc
SHA256: 7b95cd4f239031dff6109aeec33ab9a01d1961afd0266b0a86895ad8d4caa775
SHA512: e6705045df05f723e58305262ce3442d9627230db3ee4440bcb6356d0a3db2e508090eda5a2abcdf34b944973d247c7c50f5ce51abf7c75de87e5356488675a8
Homepage: https://cran.r-project.org/package=QuantileGH
Description: CRAN Package 'QuantileGH' (Quantile Least Mahalanobis Distance Estimator for Tukey g-&-hMixture)
 Functions for simulation, estimation, and model selection of finite mixtures
 of Tukey g-and-h distributions.

Package: r-cran-quantilegrader
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quantilegrader_0.1.1-1.ca2004.1_all.deb
Size: 71064
MD5sum: 1059f54cd1a6a4114d06a2adf69b5d68
SHA1: 3cf5207f25bc706f028cdfcd18a42bc67ab94622
SHA256: 21e5e7aa74b152f610d7a7c9f9a32289e7f9619479c32ba1a43ca99bb3d27686
SHA512: 91feff98e791b08228b934697cea7a4f74e2f8809ce399f1023189dc81a2e0e0b24e4c6b798872a541fe9519727de802d0cfd829af8acc87ec6e97e6561a8637
Homepage: https://cran.r-project.org/package=QuantileGradeR
Description: CRAN Package 'QuantileGradeR' (Quantile-Adjusted Restaurant Grading)
 Implementation of the food safety restaurant grading system adopted by
 Public Health - Seattle & King County (see Ashwood, Z.C., Elias, B., and Ho.
 D.E. "Improving the Reliability of Food Safety Disclosure: A Quantile
 Adjusted Restaurant Grading System for Seattle-King County" (working
 paper)). As reported in the accompanying paper, this package allows
 jurisdictions to easily implement refinements that address common challenges
 with unadjusted grading systems. First, in contrast to unadjusted grading,
 where the most recent single routine inspection is the primary determinant
 of a grade, grading inputs are allowed to be flexible. For instance, it is
 straightforward to base the grade on average inspection scores across
 multiple inspection cycles. Second, the package can identify quantile
 cutoffs by inputting substantively meaningful regulatory thresholds (e.g.,
 the proportion of establishments receiving sufficient violation points to
 warrant a return visit). Third, the quantile adjustment equalizes the
 proportion of establishments in a flexible number of grading categories
 (e.g., A/B/C) across areas (e.g., ZIP codes, inspector areas) to account for
 inspector differences. Fourth, the package implements a refined quantile
 adjustment that addresses two limitations with the stats::quantile()
 function when applied to inspection score datasets with large numbers of
 score ties. The quantile adjustment algorithm iterates over quantiles until,
 over all restaurants in all areas, grading proportions are within a
 tolerance of desired global proportions. In addition the package allows a
 modified definition of "quantile" from "Nearest Rank". Instead of requiring
 that at least p[1]% of restaurants receive the top grade and at least
 (p[1]+p[2])% of restaurants receive the top or second best grade for
 quantiles p, the algorithm searches for cutoffs so that as close as possible
 p[1]% of restaurants receive the top grade, and as close as possible to
 p[2]% of restaurants receive the second top grade.

Package: r-cran-quantilenpci
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quantilenpci_0.9.0-1.ca2004.1_all.deb
Size: 24416
MD5sum: 59d89b21b09dc6501832ee8e5bc1faef
SHA1: 7619b44de4d8c9ebfd40f93adaca4c6ac64da4cd
SHA256: 6db0e7cbdef2129e95d5577b70d91735b1ad68563b50f90a539093e9e5ffa889
SHA512: fb609ddedb3e165926c51401fdebab578eb0e16ea3e0996ce0b06a65f119ec44e4ac623e681357a01668d71794ed7c9db466493ca8bd58ef4b79128df78b6bef
Homepage: https://cran.r-project.org/package=QuantileNPCI
Description: CRAN Package 'QuantileNPCI' (Nonparametric Confidence Intervals for Quantiles)
 Based on Alan D. Hutson (1999) <doi:10.1080/02664769922458>, "Calculating
 nonparametric confidence intervals for quantiles using fractional order
 statistics", Journal of Applied Statistics, 26:3, 343-353.

Package: r-cran-quantilogram
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-np, r-cran-quantreg, r-cran-rlang, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sparsem
Filename: pool/dists/focal/main/r-cran-quantilogram_3.1.1-1.ca2004.1_all.deb
Size: 323332
MD5sum: a302efd27564125dbade52af8b99f82f
SHA1: 67542200aadec5687c16ee594f9992ce5b574ea1
SHA256: d32ad02c44edc9322496da07a079eb209a61019259b5502d1571be340da0dcbc
SHA512: 5d0e3b79681d296a551870d41a234e0359634758b4e78f78010b0efcafdd38f21a3a34862200b86a7a4fb9f735554d6c4b4bb6f6e7d28eec99f366b299b0eded
Homepage: https://cran.r-project.org/package=quantilogram
Description: CRAN Package 'quantilogram' (Cross-Quantilogram)
 Estimation and inference methods for the cross-quantilogram.  The
 cross-quantilogram is a measure of nonlinear dependence between two
 variables, based on either unconditional or conditional quantile functions.
 It can be considered an extension of the correlogram, which is a correlation
 function over multiple lag periods that mainly focuses on linear dependency.
 One can use the cross-quantilogram to detect the presence of directional
 predictability from one time series to another.  This package provides a
 statistical inference method based on the stationary bootstrap.  For
 detailed theoretical and empirical explanations, see Linton and Whang (2007)
 for univariate time series analysis and Han, Linton, Oka and Whang (2016)
 for multivariate time series analysis.  The full references for these key
 publications are as follows: (1) Linton, O., and Whang, Y. J. (2007).  The
 quantilogram: with an application to evaluating directional predictability.
 Journal of Econometrics, 141(1), 250-282
 <doi:10.1016/j.jeconom.2007.01.004>; (2) Han, H., Linton, O., Oka, T., and
 Whang, Y. J. (2016).  The cross-quantilogram: measuring quantile dependence
 and testing directional predictability between time series.  Journal of
 Econometrics, 193(1), 251-270 <doi:10.1016/j.jeconom.2016.03.001>.

Package: r-cran-quantkriging
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hetgp, r-cran-matrix, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quantkriging_0.1.0-1.ca2004.1_all.deb
Size: 64848
MD5sum: 34511d51b2a248cae48d37a7f40b3c1c
SHA1: 7d11f8ef7b10ae0cd6af82045737587433d515a2
SHA256: ee3d64942e26ac45546e938418c60cefb0dd7e6406cf68f56bac2b35863168b8
SHA512: 2be5efd7306f80115f7c1f62719c595cf90c9b63d731cda88df1f43c7e6b2ebc5cf9d3436803633486ab4458ac8cbb7ed055a99c53037e7f07e4005e110d3530
Homepage: https://cran.r-project.org/package=quantkriging
Description: CRAN Package 'quantkriging' (Quantile Kriging for Stochastic Simulations with Replication)
 A re-implementation of quantile kriging. Quantile kriging was described by
 Plumlee and Tuo (2014) <doi:10.1080/00401706.2013.860919>.  With
 computational savings when dealing with replication from the recent paper by
 Binois, Gramacy, and Ludovski (2018) <doi:10.1080/10618600.2018.1458625> it
 is now possible to apply quantile kriging to a wider class of problems.  In
 addition to fitting the model, other useful tools are provided such as the
 ability to automatically perform leave-one-out cross validation.

Package: r-cran-quantmod
Architecture: all
Version: 0.4.28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1182
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-ttr, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-dbi, r-cran-rmysql, r-cran-rsqlite, r-cran-timeseries, r-cran-xml2, r-cran-downloader, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-quantmod_0.4.28-1.ca2004.1_all.deb
Size: 1040304
MD5sum: fff3ac2813c5e15d494b0f0d21faff3f
SHA1: bce50d43c514a2bd4e22a616ac9ea9e8ad67d117
SHA256: 59f9f2e59c4a37038799ef707796bbb6d9186d677d4307a6ee2efbd468bd44d8
SHA512: b3cf9f4db73ed1ea9cedfa7d63075c9d66d09825595d1f9477aa047819dc15faf537a55d332f7406663f5072fe058230de94f6c87ec66c074c32b03c2f2af4d9
Homepage: https://cran.r-project.org/package=quantmod
Description: CRAN Package 'quantmod' (Quantitative Financial Modelling Framework)
 Specify, build, trade, and analyse quantitative financial trading
 strategies.

Package: r-cran-quantnorm
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1939
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggally, r-cran-ggplot2, r-cran-network, r-cran-pheatmap, r-cran-rgl, r-cran-sna
Filename: pool/dists/focal/main/r-cran-quantnorm_1.0.5-1.ca2004.1_all.deb
Size: 1950196
MD5sum: ecfe908c57e8f56510ccacacc25c5045
SHA1: 5689e1783f6790cc7bc41f01f3b0e36dc4e2776a
SHA256: 13faa9e2aa80d89da07c12c385ec5c9954ffc37e0a18a1328c7d6697b4f3ea07
SHA512: 8c41cdb916d6f896de01b78c79b0bb90dd55494354e7f7a6233b6d95485edf30007edebf6a322099015bd78df06f23cd19af26c514ebdbac85492679f60d0b1e
Homepage: https://cran.r-project.org/package=QuantNorm
Description: CRAN Package 'QuantNorm' (Mitigating the Adverse Impact of Batch Effects in Sample PatternDetection)
 Modifies the distance matrix obtained from data with batch effects, so as to
 improve the performance of sample pattern detection, such as clustering,
 dimension reduction, and construction of networks between subjects. The
 method has been published in Bioinformatics (Fei et al, 2018,
 <doi:10.1093/bioinformatics/bty117>). Also available on 'GitHub'
 <https://github.com/tengfei-emory/QuantNorm>.

Package: r-cran-quantoptr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rgenoud, r-cran-quantreg, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-quantoptr_0.1.3-1.ca2004.1_all.deb
Size: 151100
MD5sum: 85b70d387e68f7b094006530c29d0eab
SHA1: 94e38a2528764554b1e0c1ef00a432140ca16b06
SHA256: 8e95e9f0bb7e7b779b8bda8996700129ae85b3f73857e7450107f38b1cfba605
SHA512: be5a1a3d9cf18967de7f47f00877aa59d8602c045bda78b52a4d18b408576c530e52c201490b15a921f662f492b36fd2d1aefa8d21b19550cd7133177397472c
Homepage: https://cran.r-project.org/package=quantoptr
Description: CRAN Package 'quantoptr' (Algorithms for Quantile- And Mean-Optimal Treatment Regimes)
 Estimation methods for optimal treatment regimes under three different
 criteria, namely marginal quantile, marginal mean, and mean absolute
 difference. For the first two criteria, both one-stage and two-stage
 estimation method are implemented. A doubly robust estimator for estimating
 the quantile-optimal treatment regime is also included.

Package: r-cran-quantpsyc
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-dplyr, r-cran-purrr, r-cran-mass
Filename: pool/dists/focal/main/r-cran-quantpsyc_1.6-1.ca2004.1_all.deb
Size: 121580
MD5sum: 49b3fe8f4180fc6cb5c71ec10ca16d1a
SHA1: 83d199f9718b4412aea46eaa7ce8cff12dbf61eb
SHA256: 25c5f0fca880d5fa1f40215388745d187f7bd037412420c37b7fce72863156a2
SHA512: f1c65bad116cb7d3c170399591ebdcf5ef8fe4bc4dce87dab91c620327e0ce257939efdaa08a8e3d85255dfe7a1b4e68bf1de65f3df395621625d5d8ee9f218a
Homepage: https://cran.r-project.org/package=QuantPsyc
Description: CRAN Package 'QuantPsyc' (Quantitative Psychology Tools)
 Contains tools useful for data screening, testing moderation (Cohen et. al.
 2003)<doi:10.4324/9780203774441>, mediation (MacKinnon et. al.
 2002)<doi:10.1037/1082-989x.7.1.83> and estimating power (Murphy & Myors
 2014)<ISBN:9781315773155>.

Package: r-cran-quantreg.nonpar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 882
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-mnormt, r-cran-fda, r-cran-rearrangement
Filename: pool/dists/focal/main/r-cran-quantreg.nonpar_1.0-1.ca2004.1_all.deb
Size: 815996
MD5sum: 2de393a7e008497a04027f140a98b868
SHA1: f81a5a710262bd20a1fcf31c3bd024b14821cff2
SHA256: 126a6886a029371d03b2d56326af1c6983fb2536bd11ca45870c0c0ebe0d2de0
SHA512: 216504b4892292e50bc02a7854e3c3fd4084154763e84f2e12ce4edef796fbb5648fc35b2c968fa3865834558c5a6d91b9fd149498120d82abe3e406ea1c463d
Homepage: https://cran.r-project.org/package=quantreg.nonpar
Description: CRAN Package 'quantreg.nonpar' (Nonparametric Series Quantile Regression)
 Implements the nonparametric quantile regression method developed by
 Belloni, Chernozhukov, and Fernandez-Val (2011) to partially linear quantile
 models. Provides point estimates of the conditional quantile function and
 its derivatives based on series approximations to the nonparametric part of
 the model. Provides pointwise and uniform confidence intervals using
 analytic and resampling methods.

Package: r-cran-quantreggrowth
Architecture: all
Version: 1.7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 494
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg, r-cran-sparsem
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mgcv, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-quantreggrowth_1.7-1-1.ca2004.1_all.deb
Size: 382480
MD5sum: 4ad098d5b60ccc2d404ddbfcdc59e45c
SHA1: d8c9439332a9763ec238dabfc72ddf8378692892
SHA256: 391bbd9511561847416c29cbd099dfb252ea4d83fa894e5d2855b2fcd0f0fd93
SHA512: e845bbc0d069ef25ae4657716507f640cf92677a32b66208d57ba81e5bba44fdaf77b60e1553981df40dd39e122a038b1146fceec6492df8205fd9b2c1853320
Homepage: https://cran.r-project.org/package=quantregGrowth
Description: CRAN Package 'quantregGrowth' (Non-Crossing Additive Regression Quantiles and Non-ParametricGrowth Charts)
 Fits non-crossing regression quantiles as a function of linear covariates
 and multiple smooth terms, including varying coefficients, via B-splines
 with L1-norm difference penalties.  Random intercepts and variable selection
 are allowed via the lasso penalties.  The smoothing parameters are estimated
 as part of the model fitting, see Muggeo and others (2021)
 <doi:10.1177/1471082X20929802>. Monotonicity and concavity constraints on
 the fitted curves are allowed, see Muggeo and others (2013)
 <doi:10.1007/s10651-012-0232-1>, and also <doi:10.13140/RG.2.2.12924.85122>
 or <doi:10.13140/RG.2.2.29306.21445> some code examples.

Package: r-cran-quantsig
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quantsig_0.1.0-1.ca2004.1_all.deb
Size: 10364
MD5sum: 7d66b95f0121d86db15320c7067dfa0b
SHA1: 1a39ea087a9c1953a10f066f14626f65a0753c5e
SHA256: 41d29b8fc201a3b81d8f8ae04cb29bb2e0c7e40bc5973210257ad67c0289934b
SHA512: f4edcddef0146d64df939f51400dd4631729be26c0da8ad08f7e2959f668a24f6dc14e31674bdc0b22a8591d4a9620d517fc9cbf8bf8743b295f34451d27f035
Homepage: https://cran.r-project.org/package=quantsig
Description: CRAN Package 'quantsig' (Sigmoidal Quantile Function Estimator)
 A sigmoidal quantile function estimator based on a newly defined generalized
 expectile function. The generalized sigmoidal quantile function can estimate
 quantiles beyond the range of the data, which is important for certain
 applications given smaller sample sizes. The package is based on the method
 introduced in Hutson (2024) <doi:10.1080/03610918.2022.2032161>.

Package: r-cran-quantumops
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quantumops_3.0.1-1.ca2004.1_all.deb
Size: 265768
MD5sum: 3774db2d137af553e10a048ec316ce79
SHA1: 20deceeb6ff01d50c103688bd2524fa987319fbc
SHA256: 2aca99537f2a04725da4ad67ccfc4edaa3821a72cf01898db9101e3116d3eb38
SHA512: 957fefc3f2ea3f2b780a3bd1b90bca621e546c2f3e95e07e62f8b1e8230e049c290e403a9cd27f9b594bebfdaef0ded7f79471453c8626bca6208869ed16ec79
Homepage: https://cran.r-project.org/package=QuantumOps
Description: CRAN Package 'QuantumOps' (Performs Common Linear Algebra Operations Used in QuantumComputing and Implements Quantum Algorithms)
 Contains basic structures and operations used frequently in quantum
 computing. Intended to be a convenient tool to help learn quantum mechanics
 and algorithms. Can create arbitrarily sized kets and bras and implements
 quantum gates, inner products, and tensor products. Creates arbitrarily
 controlled versions of all gates and can simulate complete or partial
 measurements of kets. Has functionality to convert functions into equivalent
 quantum gates and model quantum noise. Includes larger applications, such as
 Steane error correction <DOI:10.1103/physrevlett.77.793>, Quantum Fourier
 Transform and Shor's algorithm (Shor 1999), Grover's algorithm (1996),
 Quantum Approximation Optimization Algorithm (QAOA) (Farhi, Goldstone, and
 Gutmann 2014) <arXiv:1411.4028>, and a variational quantum classifier
 (Schuld 2018) <arXiv:1804.00633>. Can be used with the gridsynth algorithm
 <arXiv:1212.6253> to perform decomposition into the Clifford+T set.

Package: r-cran-quarks
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3420
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dygraphs, r-cran-ggplot2, r-cran-progress, r-cran-rugarch, r-cran-shiny, r-cran-shinyjs, r-cran-smoots, r-cran-yfr, r-cran-xts
Filename: pool/dists/focal/main/r-cran-quarks_1.1.4-1.ca2004.1_all.deb
Size: 3401588
MD5sum: ad8f525a49da2f71c3452e4d7503775b
SHA1: 4ea0a41124d43306a07783d29433086c1f3cf551
SHA256: 677293d39d662ec410030924c48a5a8ea3f27dc8e29f209f8a28ce058211f94f
SHA512: 73113e54d1512a1f0681228e75729dd43906e4d17671b369cf79e44e9f4e8ac7e396c2a4dcf08cf7e7af67fdcf64f0ae476af76ecaca33d009b63540202dc755
Homepage: https://cran.r-project.org/package=quarks
Description: CRAN Package 'quarks' (Simple Methods for Calculating and Backtesting Value at Risk andExpected Shortfall)
 Enables the user to calculate Value at Risk (VaR) and Expected Shortfall
 (ES) by means of various types of historical simulation. Currently plain-,
 age-, volatility-weighted- and filtered historical simulation are
 implemented in this package. Volatility weighting can be carried out via an
 exponentially weighted moving average model (EWMA) or other GARCH-type
 models. The performance can be assessed via Traffic Light Test, Coverage
 Tests and Loss Functions. The methods of the package are described in
 Gurrola-Perez, P. and Murphy, D. (2015)
 <https://EconPapers.repec.org/RePEc:boe:boeewp:0525> as well as McNeil, J.,
 Frey, R., and Embrechts, P. (2015)
 <https://ideas.repec.org/b/pup/pbooks/10496.html>.

Package: r-cran-quarrint
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3924
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-neuralnet
Filename: pool/dists/focal/main/r-cran-quarrint_1.0.0-1.ca2004.1_all.deb
Size: 3972164
MD5sum: 33c311c3825704a2ddb2fc2594541cf0
SHA1: 6b12e8a33a6236bc558f5257e4b04a8aeea4e047
SHA256: 8793cdad707b0c61d8c64dac79fb04503e13eb5e669d69811b52c541ac249e76
SHA512: 21d641843e0dfb01716749d6c9467ad0d1d39dc27ddcf2bc9e0e0207e0cbd121ba1d744632ccd7c3c34bf4c6f18589803ba954f627fff88cb932e699b06e06f4
Homepage: https://cran.r-project.org/package=quarrint
Description: CRAN Package 'quarrint' (Interaction Prediction Between Groundwater and Quarry ExtensionUsing Discrete Choice Models and Artificial Neural Networks)
 An implementation of two interaction indices between extractive activity and
 groundwater resources based on hazard and vulnerability parameters used in
 the assessment of natural hazards. One index is based on a discrete choice
 model and the other is relying on an artificial neural network.

Package: r-cran-quartabs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-altdoc, r-cran-dplyr, r-cran-dt, r-cran-flextable, r-cran-gt, r-cran-htmltools, r-cran-knitr, r-cran-plotly, r-cran-purrr, r-cran-quarto, r-cran-reactable, r-cran-sessioninfo, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tinytable
Filename: pool/dists/focal/main/r-cran-quartabs_0.1.1-1.ca2004.1_all.deb
Size: 31560
MD5sum: 27c3295ed5c3b0bbe61a315b5e723854
SHA1: 81673eda19a83944f734e7eaac8dde10b7e3e2ab
SHA256: 90a78f1b498d8caf76501cf78a8651f66e55b0b723302e7ae1381461ee6a669f
SHA512: 7666d2d8bd0d3490ca0200db4f8a917c74170982beed88a4dc6333061e707daac54daaa6df3e4903bcdd78ec99913d757f6a42949e029ae1444d2d99c12776da
Homepage: https://cran.r-project.org/package=quartabs
Description: CRAN Package 'quartabs' (Dynamically Generate Tabset Panels in 'Quarto' HTML Documents)
 Dynamically generate tabset panels
 <https://quarto.org/docs/output-formats/html-basics.html#tabsets> in
 'Quarto' HTML documents using a data frame as input.

Package: r-cran-quartets
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2263
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quartets_0.1.1-1.ca2004.1_all.deb
Size: 2193772
MD5sum: fdb4925a6be00c9e12868dc9a9935a8a
SHA1: d05b150e214717711ddadd9a5288266f3d95bec4
SHA256: 161ae12cb61a6777621ccc55fc089786283358df9b302873b8fe813bea9c58b6
SHA512: 6ecc52c74d96ddc61c2ce12f752a20601d572ad8f0ac3c5ad7d50a402b602bb127985175d0868bf0e81625cc9417fc84956c9334ad8e4bed0ec1ae35569ffa07
Homepage: https://cran.r-project.org/package=quartets
Description: CRAN Package 'quartets' (Datasets to Help Teach Statistics)
 In the spirit of Anscombe's quartet, this package includes datasets that
 demonstrate the importance of visualizing your data, the importance of not
 relying on statistical summary measures alone, and why additional
 assumptions about the data generating mechanism are needed when estimating
 causal effects. The package includes "Anscombe's Quartet" (Anscombe 1973)
 <doi:10.1080/00031305.1973.10478966>, D'Agostino McGowan & Barrett (2023)
 "Causal Quartet" <doi:10.48550/arXiv.2304.02683>, "Datasaurus Dozen"
 (Matejka & Fitzmaurice 2017), "Interaction Triptych" (Rohrer & Arslan 2021)
 <doi:10.1177/25152459211007368>, "Rashomon Quartet" (Biecek et al. 2023)
 <doi:10.48550/arXiv.2302.13356>, and Gelman "Variation and Heterogeneity
 Causal Quartets" (Gelman et al. 2023) <doi:10.48550/arXiv.2302.12878>.

Package: r-cran-quarto
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-jsonlite, r-cran-later, r-cran-processx, r-cran-rlang, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-yaml
Suggests: r-cran-curl, r-cran-knitr, r-cran-rsconnect, r-cran-testthat, r-cran-withr, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-quarto_1.4.4-1.ca2004.1_all.deb
Size: 141228
MD5sum: 6beef90b687122af165955c99b13519f
SHA1: 0ef4a0114bd5f75c3524e15e04574725734d91ef
SHA256: 5c94c6e032ce171ab240bd3a9a1eccd2625ad4e723b5d9bfc6ec872679a6f857
SHA512: c67fa494454cd6348e7c6bc582d6d33cf8c2b950090a397e86a1bc54546079d4ae5dd156abf4fc82ce616e2d4e1c9a5c7f6e1663263d05bcec0bf6d90fc10fc9
Homepage: https://cran.r-project.org/package=quarto
Description: CRAN Package 'quarto' (R Interface to 'Quarto' Markdown Publishing System)
 Convert R Markdown documents and 'Jupyter' notebooks to a variety of output
 formats using 'Quarto'.

Package: r-cran-quaxnat
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1871
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-quaxnat_1.0.1-1.ca2004.1_all.deb
Size: 1853832
MD5sum: a6baf0b5a38159cd1274b9b6d9b7bf81
SHA1: d511bab1482f1fb5da3bce89ebcf045c4949d096
SHA256: 5c7ba4435ec47a7096573bf74428f666976118564eb0f7721858ac000ce578e2
SHA512: 154da7ac7af8df38a8d041e4a59e63e089fe289ea598f9ff57505181b0ab23e9b17ef94ddf196eb9da956f28bb6b8e07c91109b768ba2361950fa669e7bec9ee
Homepage: https://cran.r-project.org/package=quaxnat
Description: CRAN Package 'quaxnat' (Estimation of Natural Regeneration Potential)
 Functions for estimating the potential dispersal of tree species using
 regeneration densities and dispersal distances to nearest seed trees.  A
 quantile regression is implemented to determine the dispersal potential.
 Spatial prediction can be used to identify natural regeneration potential
 for forest restoration as described in Axer et al (2021)
 <doi:10.1016/j.foreco.2020.118802>.

Package: r-cran-quclu
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-quclu_1.0.1-1.ca2004.1_all.deb
Size: 48956
MD5sum: 46211277007a2ddb0ec01c9e03e83612
SHA1: 4e153004aa291bb32c1d12ea1bd2f1185f01c68a
SHA256: f9aaf0849123b2803f4d850c636d7b0b25d81002cb4d19a6e20075aaf723e4be
SHA512: 2be1324123f297fca17387e553bcd256968a018ffae5a3a047074ead78fbd066260de32001429b57661ba9038aa8ae0cfaa69a3ae894f51ff41c577147fb4c2c
Homepage: https://cran.r-project.org/package=QuClu
Description: CRAN Package 'QuClu' (Quantile-Based Clustering Algorithms)
 Various quantile-based clustering algorithms: algorithm CU (Common theta and
 Unscaled variables), algorithm CS (Common theta and Scaled variables through
 lambda_j), algorithm VU (Variable-wise theta_j and Unscaled variables) and
 algorithm VW (Variable-wise theta_j and Scaled variables through lambda_j).
 Hennig, C., Viroli, C., Anderlucci, L. (2019) "Quantile-based clustering."
 Electronic Journal of Statistics. 13 (2) 4849 - 4883
 <doi:10.1214/19-EJS1640>.

Package: r-cran-querybuilder
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-glue, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-querybuilder_0.1.0-1.ca2004.1_all.deb
Size: 110320
MD5sum: 2f6aa2fac4482557258f7a50fa396568
SHA1: 54651dac088322e2f947f4e48f3cbe32e7b75e26
SHA256: 4569c1e66522bba5ad3541c147892124e16a6d03363cc9caf38344532596f055
SHA512: 58030620ff0088f30e821bb8853e019e4a25c0727642c7a647d570f13c06492f6eb3e11b18a46668b165684b544d61bf26d2664f023fd1be54a8688a5fd73ac9
Homepage: https://cran.r-project.org/package=queryBuilder
Description: CRAN Package 'queryBuilder' (Programmatic Way to Construct Complex Filtering Queries)
 Syntax for defining complex filtering expressions in a programmatic way.  A
 filtering query, built as a nested list configuration, can be easily stored
 in other formats like 'YAML' or 'JSON'.  What's more, it's possible to
 convert such configuration to a valid expression that can be applied to
 popular 'dplyr' package operations.

Package: r-cran-queryparser
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-queryparser_0.3.2-1.ca2004.1_all.deb
Size: 214756
MD5sum: e4f77e4669d4aa3452146b868387afc9
SHA1: b70e95578b77421932facdbcba09ee7a0329a9c5
SHA256: 882295544aee8b16a4dc5c318b94ffa3442f75906d920b506949083d81c97083
SHA512: 1dc45f78b0624638cea330c4f3eae0d3ba2e754f8256537f3a9c32b5850514e3d755ce2e30cb89e4d2809e99f4c6a8e3f78d0c6a782c4313238e3ba2646b2542
Homepage: https://cran.r-project.org/package=queryparser
Description: CRAN Package 'queryparser' (Translate 'SQL' Queries into 'R' Expressions)
 Translate 'SQL' 'SELECT' statements into lists of 'R' expressions.

Package: r-cran-queryup
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-knitr, r-cran-xml2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-queryup_1.0.5-1.ca2004.1_all.deb
Size: 69612
MD5sum: f0e6b7348f461a2ca28d3c72973a8715
SHA1: d22b5db61c284697064dd28bb5d50570053d79ee
SHA256: 33b33c7e33864e265497d361caee77f223bcb6d503173043a0ab43be0d82d980
SHA512: a4639073239e08c197a983df705234749742977d51a22eecbf26e760158fd9129eac1ceb333652542367b835020878bb85a7690f2c81c1996ad476d69f7da8a1
Homepage: https://cran.r-project.org/package=queryup
Description: CRAN Package 'queryup' (Query the 'UniProtKB' REST API)
 Retrieve protein information from the 'UniProtKB' REST API (see
 <https://www.uniprot.org/help/api_queries>).

Package: r-cran-quest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 749
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-str2str, r-cran-abind, r-cran-checkmate, r-cran-plyr, r-cran-car, r-cran-psych, r-cran-boot, r-cran-mbess, r-cran-nlme, r-cran-lme4, r-cran-multilevel, r-cran-lavaan
Suggests: r-cran-reshape, r-cran-psychtools, r-cran-lmeinfo, r-cran-semtools
Filename: pool/dists/focal/main/r-cran-quest_0.2.0-1.ca2004.1_all.deb
Size: 702368
MD5sum: ee2f909c6c31e99def3a5192eb56defb
SHA1: 63026d547f0a0262216abeb82b5039159cff81f1
SHA256: 95dbc11e4c1868f5deb4007da4b293f492ab946353a2a551478d5465939b529a
SHA512: ecd36c2f5ad91e9ee49fb2b01e76ddc442f2b4c8d2ee6ddbe6c700e671559856cc7dce0b2abaabbffbe530f46bb9b74cf8cf9739bc5ead28f23b099381f57be8
Homepage: https://cran.r-project.org/package=quest
Description: CRAN Package 'quest' (Prepare Questionnaire Data for Analysis)
 Offers a suite of functions to prepare questionnaire data for analysis
 (perhaps other types of data as well). By data preparation, I mean data
 analytic tasks to get your raw data ready for statistical modeling (e.g.,
 regression). There are functions to investigate missing data, reshape data,
 validate responses, recode variables, score questionnaires, center
 variables, aggregate by groups, shift scores (i.e., leads or lags), etc. It
 provides functions for both single level and multilevel (i.e., grouped)
 data. With a few exceptions (e.g., ncases()), functions without an "s" at
 the end of their primary word (e.g., center_by()) act on atomic vectors,
 while functions with an "s" at the end of their primary word (e.g.,
 centers_by()) act on multiple columns of a data.frame.

Package: r-cran-questionr
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4204
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-highr, r-cran-styler, r-cran-classint, r-cran-htmltools, r-cran-rlang, r-cran-labelled
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-janitor, r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-survey, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-questionr_0.8.1-1.ca2004.1_all.deb
Size: 3862568
MD5sum: 7efc55edda20187d4a44d770eb78ccbd
SHA1: 2129d6f4e356edc18ce97d55202d4aab47e90b55
SHA256: e9f859c8b7fff38bd43265867cec0507f3f527fda995b1996c638cd0a840b2f4
SHA512: 30ebe76b8fc0b88692a123bbecee7974942ebedf6bf2f0ecbc16ad6d552be6eaf5893f26e0faf6402e5243a787e313bc928ca0ccdfe16beddaa270792b24b6d9
Homepage: https://cran.r-project.org/package=questionr
Description: CRAN Package 'questionr' (Functions to Make Surveys Processing Easier)
 Set of functions to make the processing and analysis of surveys easier :
 interactive shiny apps and addins for data recoding, contingency tables,
 dataset metadata handling, and several convenience functions.

Package: r-cran-questr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-kernlab
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-questr_0.1.1-1.ca2004.1_all.deb
Size: 136600
MD5sum: aefb678491ccb4c2c378af743718cb93
SHA1: 05d71dd1627a1ea33685b0c99d77ccda10f157b3
SHA256: ad12816a22a96f26c1b9317a6a3cfeddd3784af6ecd99675a289c5f896a20461
SHA512: 9f8dd0e6649bca6434ad038dd7b753c54da25a7dc617df6a3310716707117bc820a4d9c0234021ec431f403d700be597d21d7c6dc8396a4099aa350aa5e04034
Homepage: https://cran.r-project.org/package=QuESTr
Description: CRAN Package 'QuESTr' (Constructing Quantitative Environment Sensor usingTranscriptomes)
 A method for prediction of environmental conditions based on transcriptome
 data linked with the environmental gradients. This package provides
 functions to overview gene-environment relationships, to construct the
 prediction model, and to predict environmental conditions where the
 transcriptomes were generated. This package can quest for candidate genes
 for the model construction even in non-model organisms' transcriptomes
 without any genetic information.

Package: r-cran-queueing
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1191
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-queueing_0.2.12-1.ca2004.1_all.deb
Size: 927884
MD5sum: 696affe6c214a879f1de2d4e2c18c97c
SHA1: 55b95da8fc73d47c7ebac7791f08ff06e753f54a
SHA256: 117c0c8eb08bfb864dc00b4feb2785fb2bf626a06c3f1b09a7ead2320a16639c
SHA512: ab11e67ed653a15f0e77058f15545db422f7cd221129e2c15699a0d6bdc22ed0b89ed07d780957e5f84eb3cedd06589217758b347f5ef5aba413022a0b844201
Homepage: https://cran.r-project.org/package=queueing
Description: CRAN Package 'queueing' (Analysis of Queueing Networks and Models)
 It provides versatile tools for analysis of birth and death based Markovian
 Queueing Models and Single and Multiclass Product-Form Queueing Networks.
 It implements M/M/1, M/M/c, M/M/Infinite, M/M/1/K, M/M/c/K, M/M/c/c,
 M/M/1/K/K, M/M/c/K/K, M/M/c/K/m, M/M/Infinite/K/K, Multiple Channel Open
 Jackson Networks, Multiple Channel Closed Jackson Networks, Single Channel
 Multiple Class Open Networks, Single Channel Multiple Class Closed Networks
 and Single Channel Multiple Class Mixed Networks.  Also it provides a
 B-Erlang, C-Erlang and Engset calculators.  This work is dedicated to the
 memory of D. Sixto Rios Insua.

Package: r-cran-quhomology
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-numbers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quhomology_1.1.1-1.ca2004.1_all.deb
Size: 79884
MD5sum: 7207f57aeef2033f3c70807f10e59f3e
SHA1: 468b486d585106c21e4c50e6d80119bf94719392
SHA256: 54c38ed2d9bca1ac884a1c91b24348f2d39f7dc36c8eb847b814a797a4201cd8
SHA512: 615316f03667dc6b2d20609e37f5f65395e09aed09e7f56a8a2f59e9f2ea51db9fdeadaabf81ec184402587313d817d913d1b8a8a96bc7a717d76b669b7af375
Homepage: https://cran.r-project.org/package=quhomology
Description: CRAN Package 'quhomology' (Calculation of Homology of Quandles, Racks, Biquandles andBiracks)
 Calculates the Quandle, Rack and Degenerate Homology groups of Racks and
 Biracks (as well as Quandles and Biquandles). In addition, a test is
 provided to ascertain if a given set with one or two given functions is
 indeed a biquandle or not.

Package: r-cran-quickcheck
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 667
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-testthat, r-cran-hedgehog, r-cran-purrr, r-cran-tibble, r-cran-data.table, r-cran-hms, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-quickcheck_0.1.3-1.ca2004.1_all.deb
Size: 632512
MD5sum: 289867457156c830d1f791480f3dc661
SHA1: 2cb8473966241c55b7957e380482e4d68b17cd42
SHA256: cecda395e793747919cc93e1adf11dcebcdb17d78b58f7a85814c176becf0567
SHA512: 8c4e711f55818b51d7a1a7ea250c10f35dcbed61b1a9014d1a4642783bd0c5d371293de1455abc2cfab7e468de730d231b34c840af846970bb6a591cf23e3b60
Homepage: https://cran.r-project.org/package=quickcheck
Description: CRAN Package 'quickcheck' (Property Based Testing)
 Property based testing, inspired by the original 'QuickCheck'. This package
 builds on the property based testing framework provided by 'hedgehog' and is
 designed to seamlessly integrate with 'testthat'.

Package: r-cran-quickcode
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 614
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstudioapi, r-cran-polychrome, r-cran-fitdistrplus
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quickcode_1.0.8-1.ca2004.1_all.deb
Size: 458504
MD5sum: 5a3896f09f5816c2577e8b66df810c29
SHA1: 1a4b1fde82d666dfd9148dbe995e04280bcf1d7c
SHA256: 08a89ccf931a23ef2a844b3b8bac6950d4a91e7c2999533072fa848405c83eb8
SHA512: 78a78e45965acf8b44ea7d8e004f61bfda39824b4100198a472103fb7edb1f16cc56d56a2385e020f30c484e2e402309bb3f3518e19c8e8b2d9731f46d63a09b
Homepage: https://cran.r-project.org/package=quickcode
Description: CRAN Package 'quickcode' (Quick and Essential 'R' Tricks for Better Scripts)
 The NOT functions, 'R' tricks and a compilation of some simple quick plus
 often used 'R' codes to improve your scripts. Improve the quality and
 reproducibility of 'R' scripts.

Package: r-cran-quickerstats
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-readr, r-cran-curl, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quickerstats_0.0.1-1.ca2004.1_all.deb
Size: 43496
MD5sum: fe20c474e3edfb38dad0682b2ac52877
SHA1: a18f2f2fb7b6b800922e475a0a561d7766de01ec
SHA256: b27915a57a29fe537a92a05e4e54fe004d7483c6042871f0740acdd24cfa7972
SHA512: ce5b8191b467fa2f01d11038c49a1e0479b548d41f5b4f13b893cad91028ce2bdc2cc27e7a164a6079353ad7287ef406a20c592db622791e76eb282632cd9008
Homepage: https://cran.r-project.org/package=quickerstats
Description: CRAN Package 'quickerstats' (An 'R' Client for the 'USDA NASS Quick Stats API')
 Provides several convenience functions for searching and pulling data from
 the 'USDA NASS Quick Stats API' <https://quickstats.nass.usda.gov/api>.
 Users can easily search for specific data items, and then download
 county-level or state-level Census of Agricultural data from a specified
 year.

Package: r-cran-quickmapr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 713
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-rgeos, r-cran-rgdal, r-cran-httr, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-quickmapr_0.3.0-1.ca2004.1_all.deb
Size: 686000
MD5sum: 1bce8f105202cc6749861b2729a7faf0
SHA1: d02d9a995d95220158a0f2c5845f5fbc745fed5f
SHA256: 36195cb672c741bd93ace7320744b6c6472c903357f54a4ec9a92630cee7958b
SHA512: 709b2b8f0aef8195ec64db2842b25e50a8d7897128199488e6468eb5fd402defe38a4957a7a6615a39633028084c4aa689c264f43c7855e6884abdc47632c99b
Homepage: https://cran.r-project.org/package=quickmapr
Description: CRAN Package 'quickmapr' (Quickly Map and Explore Spatial Data)
 While analyzing geospatial data, easy visualization is often needed that
 allows for quick plotting, and simple, but easy interactivity.
 Additionally, visualizing geospatial data in projected coordinates is also
 desirable. The 'quickmapr' package provides a simple method to visualize
 'sp', 'sf' (via coercion to 'sp'), and 'raster' objects, allows for basic
 zooming, panning, identifying,labeling, selecting, and measuring spatial
 objects.  Importantly, it does not require that the data be in geographic
 coordinates.

Package: r-cran-quicknmix
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-optimparallel, r-cran-doparallel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-quicknmix_1.1.1-1.ca2004.1_all.deb
Size: 101144
MD5sum: a63014a8466fbbc447d45f3bc6161b9e
SHA1: c2a86cce6721a4d7ca5f75ff3ec99b7bcfb65f68
SHA256: ac86335729a81b102c838759c1a7f3594e0a9aa24ad1cfc084795f2bd9de2b82
SHA512: 07793a1cb23e38d52061873ff5012fa21897b3ee70317159189d82b3829f8b41e4cedbe866745afd957391c0c12b008d3714fda54328f156f2d820ebc5520fcd
Homepage: https://cran.r-project.org/package=quickNmix
Description: CRAN Package 'quickNmix' (Asymptotic N-Mixture Model Fitting)
 For fitting N-mixture models using either FFT or asymptotic approaches. FFT
 N-mixture models extend the work of Cowen et al. (2017)
 <doi:10.1111/biom.12701>. Asymptotic N-mixture models extend the work of
 Dail and Madsen (2011) <doi:10.1111/j.1541-0420.2010.01465.x>, to consider
 asymptotic solutions to the open population N-mixture models. The FFT models
 are derived and described in "Parker, M.R.P., Elliott, L., Cowen, L.L.E.
 (2022). Computational efficiency and precision for replicated-count and
 batch-marked hidden population models [Manuscript in preparation].
 Department of Statistics and Actuarial Sciences, Simon Fraser University.".
 The asymptotic models are derived and described in: "Parker, M.R.P.,
 Elliott, L., Cowen, L.L.E., Cao, J. (2022). Fast asymptotic solutions for
 N-mixtures on large populations [Manuscript in preparation]. Department of
 Statistics and Actuarial Sciences, Simon Fraser University.".

Package: r-cran-quickplot
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1506
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-fpcompare, r-cran-terra
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-raster, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-sf, r-cran-sp, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-quickplot_1.0.2-1.ca2004.1_all.deb
Size: 1056888
MD5sum: dcd49358fc52349bfe42349088b55249
SHA1: 0b6a07a3e3ad0be3795a25a5e8671fe050e6e092
SHA256: 44f1d9ea4e64da303541797af4f595b046905149bf0215dac748a0e4eff54848
SHA512: ffabfdfed35b9fb4ea9b31f0aa2d6971c6f0745e982bbc89bb938242e7f3ac82834f5a708e82aecfad1d16d1feb7ed15dbda8298054021cc24dd2868bfb2ef96
Homepage: https://cran.r-project.org/package=quickPlot
Description: CRAN Package 'quickPlot' (A System of Plotting Optimized for Speed and Modularity)
 A high-level plotting system, compatible with `ggplot2` objects, maps from
 `sf`, `terra`, `raster`, `sp`. It is built primarily on the 'grid' package.
 The objective of the package is to provide a plotting system that is built
 for speed and modularity. This is useful for quick visualizations when
 testing code and for plotting multiple figures to the same device from
 independent sources that may be independent of one another (i.e., different
 function or modules the create the visualizations).  The suggested package
 'fastshp' can be installed from the repository
 (<https://PredictiveEcology.r-universe.dev>).

Package: r-cran-quickpsy
Architecture: all
Version: 0.1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-dplyr, r-cran-ggplot2, r-cran-mpdir
Filename: pool/dists/focal/main/r-cran-quickpsy_0.1.5.1-1.ca2004.1_all.deb
Size: 214700
MD5sum: 0094ae9526f38c9a0c3a851e30559d02
SHA1: b634fbe20b025434ddca8cbdcfb275dab7d6b3e3
SHA256: f8bffa4b0dff7e87a12f576d1846f5976a5e6833baa8bd7f2d524e89b75930c8
SHA512: 543aaf8e34d17e1d6d437d47dbf3a37d115c6b5ff4c7715f8c82dfac0f48c25e2b41788e5d485a548a4814376a4f8996d407708f873166753541ed6883c0500b
Homepage: https://cran.r-project.org/package=quickpsy
Description: CRAN Package 'quickpsy' (Fits Psychometric Functions for Multiple Groups)
 Quickly fits and plots psychometric functions (normal, logistic, Weibull or
 any or any function defined by the user) for multiple groups.

Package: r-cran-quickr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1748
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dotty, r-cran-glue, r-cran-s7
Suggests: r-cran-pkgload, r-cran-testthat, r-cran-rlang, r-cran-cli, r-cran-bench
Filename: pool/dists/focal/main/r-cran-quickr_0.1.0-1.ca2004.1_all.deb
Size: 1728896
MD5sum: b96678cbe0ed81622fa36edc20049d31
SHA1: 805b3c3d05ed41f33ec501e4391506116a50be17
SHA256: 3723d4d1dac2bad62b891d81b7fa13e9570c4b904ec7b6a81b5064a46c5177f3
SHA512: e8adb2abf6eddd321973a0f2942fb135e4244a16ed7c0fb5235e76e0e16d41a32fb9b13879ca59cec3edb383cfa24a4b03948f5cd14b1e6a69c41620e169c33e
Homepage: https://cran.r-project.org/package=quickr
Description: CRAN Package 'quickr' (Compiler for R)
 Compiles R functions annotated with type and shape declarations to provide
 extremely fast performance and robust runtime type checking. Supports both
 just-in-time (JIT) and ahead-of-time (AOT) compilation.  Compilation is
 performed by lowering R code to Fortran.

Package: r-cran-quickreg
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-survival, r-cran-psych, r-cran-nortest, r-cran-dplyr
Suggests: r-cran-ggthemes, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quickreg_1.5.0-1.ca2004.1_all.deb
Size: 212480
MD5sum: 7e6407507456e75b55128ebe5277a2a3
SHA1: b4d4bd6c1daf73c22e964dd1929c6d3c07410026
SHA256: bd4ff7a1821abd11e6bb5019e51331c867ad5bd5e06dda714f5c0fa5274f418c
SHA512: 54b9ec2ee4b4376ba7c170c1b2a574df3a154710e9b6e5d816a48b92de9975f78a1927a40e6395ad76616c67dda32d46af21fdd42e960c863403724fcb6f69fb
Homepage: https://cran.r-project.org/package=quickReg
Description: CRAN Package 'quickReg' (Build Regression Models Quickly and Display the Results Using'ggplot2')
 A set of functions to extract results from regression models and plot the
 effect size using 'ggplot2' seamlessly. While 'broom' is useful to convert
 statistical analysis objects into tidy data frames, 'coefplot' is adept at
 showing multivariate regression results. With specific outcome, this package
 could build regression models automatically, extract results into a data
 frame and provide a quicker way to summarize models' statistical findings
 using 'ggplot2'.

Package: r-cran-quickregression
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-quickregression_0.2-1.ca2004.1_all.deb
Size: 17880
MD5sum: 331253fd50fd9ca7635df6650a7f7303
SHA1: a62585a99617cc59195fb3d16fd323ed5dde2660
SHA256: fd5104fe55cef62c19e100384920b6445cf8cca7f76ced50ac4f668e2b0fc829
SHA512: bc7586cdf6d6e2b07bf62c170b8f8229540c9173b62735b2f4de414cac3de1086a7ea653aa75cfa946e1b122f0fa71525370c87b728299c41183250f59f9b3ca
Homepage: https://cran.r-project.org/package=quickregression
Description: CRAN Package 'quickregression' (Quick Linear Regression)
 Helps to perform linear regression analysis by reducing manual effort.
 Reduces the independent variables based on specified p-value and Variance
 Inflation Factor (VIF) level.

Package: r-cran-quicr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-janitor, r-cran-openxlsx, r-cran-purrr, r-cran-readxl, r-cran-reshape2, r-cran-slider, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quicr_2.1.0-1.ca2004.1_all.deb
Size: 501848
MD5sum: 88447fe10bf43e0205e46c1d50137a45
SHA1: 9542b74bde7364bef3ba23116b51c8f23867c34a
SHA256: 2d76e15718086ea17a3cd0100a70f51fdeb11f811d9b2b4b6415dfb16cd5dc7d
SHA512: 6925e5ca81349f0f6908b722f4d018075a246cb3fe46d30b93b5d54dcc82143296c582b702e77ec3cdf2efe87bef7309842f8e09f1cf0a3ef8c59398bee860db
Homepage: https://cran.r-project.org/package=quicR
Description: CRAN Package 'quicR' (RT-QuIC Data Formatting and Analysis)
 Designed for the curation and analysis of data generated from real-time
 quaking-induced conversion (RT-QuIC) assays first described by Atarashi et
 al. (2011) <doi:10.1038/nm.2294>. 'quicR' calculates useful metrics such as
 maxpoint ratio: Rowden et al. (2023) <doi:10.1099/vir.0.069906-0>;
 time-to-threshold: Shi et al. (2013) <doi:10.1186/2051-5960-1-44>; and
 maximum slope. Integration with the output from plate readers allows for
 seamless input of raw data into the R environment.

Package: r-cran-quicseedr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-wrs2, r-cran-magrittr, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-rlang, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quicseedr_0.1.2-1.ca2004.1_all.deb
Size: 488560
MD5sum: 377130695409575f5c99ed2ca0d8d60f
SHA1: 2356e830cf4105aa4ee13dbdcd82106bd510b512
SHA256: e1aced25b16d62aeeda9c95fbff8c0605c735ba21acb2a1714107bfa58f885b5
SHA512: 80924ec30abace7d45e4dbc3ea35ef5cd7b1873a688ac0c318a3f026c20f26bd37d59ebd61462839ec34c2390f517d8b699151ff01c2182f8daa5e19b1ff0752
Homepage: https://cran.r-project.org/package=QuICSeedR
Description: CRAN Package 'QuICSeedR' (Analyze Data for Fluorophore-Assisted Seed Amplification Assays)
 A toolkit for analysis and visualization of data from fluorophore-assisted
 seed amplification assays, such as Real-Time Quaking-Induced Conversion
 (RT-QuIC) and Fluorophore-Assisted Protein Misfolding Cyclic Amplification
 (PMCA). 'QuICSeedR' addresses limitations in existing software by automating
 data processing, supporting large-scale analysis, and enabling comparative
 studies of analysis methods. It incorporates methods described in Henderson
 et al. (2015) <doi:10.1099/vir.0.069906-0>, Li et al. (2020)
 <doi:10.1038/s41598-021-96127-8>, Rowden et al. (2023)
 <doi:10.3390/pathogens12020309>, Haley et al. (2013)
 <doi:10.1371/journal.pone.0081488>, and Mair and Wilcox (2020)
 <doi:10.3758/s13428-019-01246-w>. Please refer to the original publications
 for details.

Package: r-cran-quid
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesfactor, r-cran-mcmcpack, r-cran-checkmate, r-cran-ellipsis, r-cran-janitor, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-matrix
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quid_0.0.1-1.ca2004.1_all.deb
Size: 435764
MD5sum: 6f616a5736d73054c54464fb3756d201
SHA1: 980076c1a40ee0cffaa8f28fa5bd17a67f3bc217
SHA256: 42deb812b30ffa2714ecd6c0dd32f201c849b943bb16cd7773f58bff6e265ad3
SHA512: 78c66b68d4616306b924bffc474f2a210cbfab9eb73e777248b1f9fdce828578225873243afba84d8ab8ef11c41fb44ca748ff96e664c140e16cb83085f1aaf2
Homepage: https://cran.r-project.org/package=quid
Description: CRAN Package 'quid' (Bayesian Mixed Models for Qualitative Individual Differences)
 Test whether equality and order constraints hold for all individuals
 simultaneously by comparing Bayesian mixed models through Bayes factors. A
 tutorial style vignette and a quickstart guide are available, via
 vignette("manual", "quid"), and vignette("quickstart", "quid") respectively.
 See Haaf and Rouder (2017) <doi:10.1037/met0000156>; Haaf, Klaassen and
 Rouder (2019) <doi:10.31234/osf.io/a4xu9>; and Rouder & Haaf (2021)
 <doi:10.5334/joc.131>.

Package: r-cran-quiddich
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Suggests: r-cran-spider, r-cran-adegenet
Filename: pool/dists/focal/main/r-cran-quiddich_1.0.0-1.ca2004.1_all.deb
Size: 38288
MD5sum: 0faa479a7925fb9d55a5b87e52f2ded5
SHA1: de9c7be4ed1ae8e92f8e5342dcd39e07f9862a01
SHA256: 4ebb63d3a2795e1c874573208f1bdc79332ce02a2a775f99b164e394390ef8dc
SHA512: bd4d445dbd6c36c1b9aabe92bb89d423519af06e7b20d2a9b65710204189e930dd8730b0c47b5cb3c7d0f4b0e092bba999b3531e8226a0a6944caf5dd5fff041
Homepage: https://cran.r-project.org/package=quiddich
Description: CRAN Package 'quiddich' (QUick IDentification of DIagnostic CHaracters)
 Provides tools for an automated identification of diagnostic molecular
 characters, i.e. such columns in a given nucleotide or amino acid alignment
 that allow to distinguish taxa from each other. These characters can then be
 used to complement the formal descriptions of the taxa, which are often
 based on morphological and anatomical features. Especially for
 morphologically cryptic species, this will be helpful. QUIDDICH
 distinguishes between four different types of diagnostic characters. For
 more information, see "Kuehn, A.L., Haase, M. 2019. QUIDDICH: QUick
 IDentification of DIagnostic CHaracters."

Package: r-cran-quietr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quietr_0.1.0-1.ca2004.1_all.deb
Size: 15004
MD5sum: 6f67b7577e98a0845b1f11135f58939d
SHA1: ea47a592ae96afd2d73b7c235a93841f15a9f5ce
SHA256: 9a7921d7c4d393849cabb1940b79e945632e71315b17956009a987e67c981717
SHA512: 902ea6a4e55fc2aaa9467303435b55af620a6fa51bd82470ebdeb3045d5fbe8bada43e28fe6143c1a4ff209909a6bdbdf2947b3ac3a1b750f2f06690a4e1edbf
Homepage: https://cran.r-project.org/package=quietR
Description: CRAN Package 'quietR' (Simplify Output Verbosity)
 Simplifies output suppression logic in R packages, as it's common to develop
 some form of it in R. 'quietR' intends to simplify that problem and allow a
 set of simple toggle functions to be used to suppress console output.

Package: r-cran-quiltr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3062
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quiltr_0.1.0-1.ca2004.1_all.deb
Size: 2642268
MD5sum: c807fb25e0efcd99ea5d05d12333c942
SHA1: 9037e37e5d7df14c4c0791c398c311d60e2b5aa6
SHA256: 27eb5d905be0703838dbdaf4ec010740292db1618d910883ace67f4362b5a2e4
SHA512: f0485c96f3bef84c76b102f542601b729a91342350e4f11b501bdcf9479b2f8b09db18c2d4647acc5a6a3645d5be1d6345c6f31c2f842efccc9d795d69ff0d87
Homepage: https://cran.r-project.org/package=quiltr
Description: CRAN Package 'quiltr' (Qualtrics for Labelling Text using R)
 Functions to convert text data for labelling into format appropriate for
 importing into Qualtrics. Supports multiple language, including
 right-to-left scripts as well as different response types. Outputs an
 Advance Format .txt file that read into Qualtrics.

Package: r-cran-quincunx
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4281
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-vroom, r-cran-purrr, r-cran-glue, r-cran-dplyr, r-cran-tidyjson, r-cran-tibble, r-cran-lubridate, r-cran-rlang, r-cran-tidyr, r-cran-httr, r-cran-rvest, r-cran-progress, r-cran-writexl, r-cran-memoise, r-cran-readr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-quincunx_0.1.10-1.ca2004.1_all.deb
Size: 1148496
MD5sum: 9db66a92d3fdf8bd78bca8a50892656d
SHA1: dc2fcb5125943fa88e1ebaca6b3f737b4ddd52f4
SHA256: c15fa8fda29c450a5e652fa0bee9bbaa5125bfa5ad55d8893fb78ca12e44af6d
SHA512: ce9afcb2ea64718e36982e1024aa0d5d5fcff28978daa525142bf2301af588506168d4513b1c55328859b64bef17525817e727d50141977cbfb23f23264729b9
Homepage: https://cran.r-project.org/package=quincunx
Description: CRAN Package 'quincunx' (REST API Client for the 'PGS' Catalog)
 Programmatic access to the 'PGS' Catalog.  This package provides easy access
 to 'PGS' Catalog data by accessing the REST API
 <https://www.pgscatalog.org/rest/>.

Package: r-cran-quint
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-partykit, r-cran-formula, r-cran-rpart
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-quint_2.2.2-1.ca2004.1_all.deb
Size: 212596
MD5sum: 5598aa099ed024bd5a0d02a8b42b5735
SHA1: ee97412d3461cc4f575a7f9225896b11fa019cf3
SHA256: e404cdc7ce37fc02247d262add2ca197b99ac2a600ce05ffdd5fe8fab22411ea
SHA512: 690b9c77a668391c3c18411c14e9c6e49752d0b3496b73d5f2513587539d93d979a64c6a8bda22708b79c4a9fc56623e2922ffe9845850d02503068d70ce24c3
Homepage: https://cran.r-project.org/package=quint
Description: CRAN Package 'quint' (Qualitative Interaction Trees)
 Grows a qualitative interaction tree. Quint is a tool for subgroup analysis,
 suitable for data from a two-arm randomized controlled trial. More
 information in Dusseldorp, E., Doove, L., & Van Mechelen, I. (2016)
 <doi:10.3758/s13428-015-0594-z>.

Package: r-cran-quollr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1272
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-interp, r-cran-langevitour, r-cran-proxy, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-umap
Filename: pool/dists/focal/main/r-cran-quollr_0.1.1-1.ca2004.1_all.deb
Size: 842788
MD5sum: ab8fa259911d0626d69f57a097e0495e
SHA1: 9e7d2bfd24b0bc2163495071a5bec0b1cefcd862
SHA256: 7e7bd2323472ddb6f76472a4cfb401f5cafdf5c4f74e505e92df4c71e67c3058
SHA512: 7c163ec2e766a6122dbe86b79e8f1ecf49beaec0e7c701272dc9bea93167d8de7846938878898fa363be55b93373ef99e10e0c99947ec0d0eef7875ff1caa6f3
Homepage: https://cran.r-project.org/package=quollr
Description: CRAN Package 'quollr' (Visualising How Nonlinear Dimension Reduction Warps Your Data)
 To construct a model in 2D space from 2D embedding data and then lift it to
 the high-dimensional space. Additionally, it provides tools to visualize the
 model in 2D space and to overlay the fitted model on data using the tour
 technique. Furthermore, it facilitates the generation of summaries of
 high-dimensional distributions.

Package: r-cran-quoradsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-quoradsr_0.1.0-1.ca2004.1_all.deb
Size: 22144
MD5sum: 7520df3dada7d8b351dbc8eaaa16fd06
SHA1: 25cf904d084bfbfe297247c2a2edde893bc41256
SHA256: b6bacc1c9671ec9375b97fa3a9eb304b8789c7c5155f6b76f2e5d9dc47e972eb
SHA512: a918c292565aefe23d2ad367357b73cfc7485a2cab60e42cd2b70fedd7d896e4abde50336971eedbc8c82127d87b711ca4e4ad6e620f132d9aebb1f298a79b27
Homepage: https://cran.r-project.org/package=quoradsR
Description: CRAN Package 'quoradsR' (Get 'Quora' Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Quora' Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-quran
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1309
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-quran_0.1.0-1.ca2004.1_all.deb
Size: 1204896
MD5sum: 4f15718050dee7c608c68b87c90639e5
SHA1: 075196d9adf224c0cdf42f5be73413d5b8476fe7
SHA256: 9db7fe7e35599528e542255764ef43219f538058281e52956a72c5fb2f97c6ba
SHA512: 7c944aa89ba96938e2dcf6b3e76b4a5cc81a89982dca15f5e82aaa6001db5cd698a55b01b97b0827a8b7e1b649f7d582c28b8fb8e094598a28d367374239b08c
Homepage: https://cran.r-project.org/package=quRan
Description: CRAN Package 'quRan' (Complete Text of the Qur'an)
 Full text, in data frames containing one row per verse, of the Qur'an in
 Arabic (with and without vowels) and in English (the Yusuf Ali and Saheeh
 International translations), formatted to be convenient for text analysis.

Package: r-cran-qut
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3434
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-lars, r-cran-flare
Filename: pool/dists/focal/main/r-cran-qut_2.2-1.ca2004.1_all.deb
Size: 3472252
MD5sum: a6bd4684b34cd291338c3b944d89a466
SHA1: dff0e9df6aac36af33d2c17beaa8fdda75d81998
SHA256: 5123abb0a67c1029f43ad88b9ac53e6fb8322bb42faa6d7109763b75bf1c9dd6
SHA512: d9e6727a04082dc62dcc1fe1354557992842e154d0e58e4d61a6900db258c28d48229eedd0b41bf14538587a2e20f96aee43aa4b7b143f2dd52c5ad8b5aff35e
Homepage: https://cran.r-project.org/package=qut
Description: CRAN Package 'qut' (Quantile Universal Threshold)
 Thresholding based tests for null hypothesis of the form A beta =c, and the
 Quantile Universal Threshold (QUT) for lasso regularization of Generalized
 Linear Models (GLM) and square-root lasso to obtain a sparse model with a
 good compromise between high true positive rate and low false discovery
 rate. Giacobino et al. (2017) <doi:10.1214/17-EJS1366>. Sardy et al. (2017)
 <arXiv:1708.02908>.

Package: r-cran-qvcalc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-relimp, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qvcalc_1.0.4-1.ca2004.1_all.deb
Size: 47996
MD5sum: 5aa831b88751805942121c1bf4c5a16f
SHA1: 95c9bf6431966b424cec1f107d1cd1ee79edc2a1
SHA256: 250f5461585bb030f91b8f47f71cf88f3f6f34758e085dd21245de975ce91536
SHA512: c2636f454ce12419b8359b255a32912ee7dc2eda4b6ff6080df47ddc5e75581b937f60ba2898908aaa1ba8bd8698a9532c65331f1b77f07498217ca447b1bd8b
Homepage: https://cran.r-project.org/package=qvcalc
Description: CRAN Package 'qvcalc' (Quasi Variances for Factor Effects in Statistical Models)
 Functions to compute quasi variances and associated measures of
 approximation error.

Package: r-cran-qvirus
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qvirus_0.0.4-1.ca2004.1_all.deb
Size: 81648
MD5sum: c0f9892321515bba70301fd1dc98e902
SHA1: 956be43c8e2db20bdd90b08aa8cc6ba3baeaf881
SHA256: f7226ef588e418507959b54069773cf8fdc5dcba1013983a959c171ab99e59f4
SHA512: b76a9c058b8515e455be4efb9f82449d94aa6c009d682e2ad444e564911ed89176ee2bc12a26eff6647fda5a66deef29b9e7a740f696b2b1729d66172fad873c
Homepage: https://cran.r-project.org/package=qvirus
Description: CRAN Package 'qvirus' (Quantum Computing for Analyzing CD4 Lymphocytes andAntiretroviral Therapy)
 Resources, tutorials, and code snippets dedicated to exploring the
 intersection of quantum computing and artificial intelligence (AI) in the
 context of analyzing Cluster of Differentiation 4 (CD4) lymphocytes and
 optimizing antiretroviral therapy (ART) for human immunodeficiency virus
 (HIV). With the emergence of quantum artificial intelligence and the
 development of small-scale quantum computers, there's an unprecedented
 opportunity to revolutionize the understanding of HIV dynamics and treatment
 strategies. This project leverages the R package 'qsimulatR' (Ostmeyer and
 Urbach, 2023, <https://CRAN.R-project.org/package=qsimulatR>), a quantum
 computer simulator, to explore these applications in quantum computing
 techniques, addressing the challenges in studying CD4 lymphocytes and
 enhancing ART efficacy.

Package: r-cran-qwalkr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-qwalkr_0.1.0-1.ca2004.1_all.deb
Size: 87044
MD5sum: 88ad44f0789a9b264bf62d3f093c94c5
SHA1: 7470fa3a0e6f8769ec3a54bf9285b767b478d2d9
SHA256: b9fc3b2527300ad51db5f7e3f4a1ca47e59c359a3c744bedaf44db565130ea7e
SHA512: d34e57544e595d5b2f0e0011626ef55dd85a3c16c16f987b1fd50e0e9880ac181a0b0a6878672203629134a9a50bd530fb41f10abc204a8aa7fe5ab074786cf1
Homepage: https://cran.r-project.org/package=qwalkr
Description: CRAN Package 'qwalkr' (Handle Continuous-Time Quantum Walks with R)
 Functions and tools for creating, visualizing, and investigating properties
 of continuous-time quantum walks, including efficient calculation of
 matrices such as the mixing matrix, average mixing matrix, and spectral
 decomposition of the Hamiltonian. E. Farhi (1997):
 <arXiv:quant-ph/9706062v2>; C. Godsil (2011) <arXiv:1103.2578v3>.

Package: r-cran-r.alpha.home
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-rstudioapi, r-cran-stringr, r-cran-openxlsx, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-r.utils, r-cran-shinywidgets, r-cran-shiny, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-r.alpha.home_1.0.0-1.ca2004.1_all.deb
Size: 71716
MD5sum: a8cbad1f2ccd712eaf1e145f7c6b4fad
SHA1: f7335a2ea2a1b3f9ecf914eef88c60266d0e41ae
SHA256: e1a72f9116f144b72758851c42340717e34b0216dcc0f03358d7a5884669d0c6
SHA512: 4c5946223620ecc2e0cde6b66fbbab432a108901601029fbdd133fd7f7bbdc631467c9ad1575c1f93e728baa797fa412cdcb3a08594d7146d1d534818b52c681
Homepage: https://cran.r-project.org/package=R.AlphA.Home
Description: CRAN Package 'R.AlphA.Home' (Feel at Home using R, Thanks to Shortcuts Functions Making itSimple)
 A collection of personal functions designed to simplify and streamline
 common R programming tasks. This package provides reusable tools and
 shortcuts for frequently used calculations and workflows.

Package: r-cran-r.blip
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign, r-cran-bnlearn
Filename: pool/dists/focal/main/r-cran-r.blip_1.1-1.ca2004.1_all.deb
Size: 1005764
MD5sum: cb8b13c90bf327590f1f53dfb5a6b30b
SHA1: 3052c39b07bd692db82f191d9f40869c631eb71c
SHA256: 0a8dfd72c75aec8cc5710687a46274f5d2fc556f08692dab7070b20075de83c4
SHA512: a4a9b0461970604ac5205c4a6a1fdbfbef3daabe01df7105cf6fe2dbde17edaa5ac1e4ade33e253f7fa868eea5f95f8465c9d2ea8378feaf978021fd2a0a3c39
Homepage: https://cran.r-project.org/package=r.blip
Description: CRAN Package 'r.blip' (Bayesian Network Learning Improved Project)
 Allows the user to learn Bayesian networks from datasets containing
 thousands of variables. It focuses on score-based learning, mainly the 'BIC'
 and the 'BDeu' score functions. It provides state-of-the-art algorithms for
 the following tasks: (1) parent set identification - Mauro Scanagatta (2015)
 <http://papers.nips.cc/paper/5803-learning-bayesian-networks-with-thousands-of-variables>;
 (2) general structure optimization - Mauro Scanagatta (2018)
 <doi:10.1007/s10994-018-5701-9>, Mauro Scanagatta (2018)
 <http://proceedings.mlr.press/v73/scanagatta17a.html>; (3) bounded treewidth
 structure optimization - Mauro Scanagatta (2016)
 <http://papers.nips.cc/paper/6232-learning-treewidth-bounded-bayesian-networks-with-thousands-of-variables>;
 (4) structure learning on incomplete data sets - Mauro Scanagatta (2018)
 <doi:10.1016/j.ijar.2018.02.004>. Distributed under the LGPL-3 by IDSIA.

Package: r-cran-r.cache
Architecture: all
Version: 0.17.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-digest
Filename: pool/dists/focal/main/r-cran-r.cache_0.17.0-1.ca2004.1_all.deb
Size: 110448
MD5sum: 40349914fb74a71aa6b6449c5267dcc7
SHA1: 8cf3c0dcb083a86dc2a22dfb72dfd2d47cdcb71b
SHA256: 44b21de5779248a1ad915e3004a9329e0e7bf0a27abf1d2319b58af6942a6f92
SHA512: 79fd46f1e8a1b0bc15a22f8573a62ece29931ae5e37a42d5fa155068c8c9ad926e0722b6dab580719819b5463c682e53528b89fee52addecc3cde84d8a74c81f
Homepage: https://cran.r-project.org/package=R.cache
Description: CRAN Package 'R.cache' (Fast and Light-Weight Caching (Memoization) of Objects andResults to Speed Up Computations)
 Memoization can be used to speed up repetitive and computational expensive
 function calls.  The first time a function that implements memoization is
 called the results are stored in a cache memory.  The next time the function
 is called with the same set of parameters, the results are momentarily
 retrieved from the cache avoiding repeating the calculations.  With this
 package, any R object can be cached in a key-value storage where the key can
 be an arbitrary set of R objects.  The cache memory is persistent (on the
 file system).

Package: r-cran-r.devices
Architecture: all
Version: 2.17.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-base64enc
Suggests: r-cran-digest, r-cran-cairo, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-r.devices_2.17.2-1.ca2004.1_all.deb
Size: 380396
MD5sum: 62db330610ecb1c39ecc0afa7b79d420
SHA1: 872c69aaccb613ac611ac9396548db96b57b1551
SHA256: 10cadb552420024b3aa1adfaa79c75b5ea74929862fe1a43d4888f21469565f8
SHA512: 8582babcf66e13adf2cba9e9bc0ef6b6024b2af5005f0f424b69355ee7865bf269719752feefe399271c19554526c3b2cc4042d4adaba3289a169534b98f66d9
Homepage: https://cran.r-project.org/package=R.devices
Description: CRAN Package 'R.devices' (Unified Handling of Graphics Devices)
 Functions for creating plots and image files in a unified way regardless of
 output format (EPS, PDF, PNG, SVG, TIFF, WMF, etc.). Default device options
 as well as scales and aspect ratios are controlled in a uniform way across
 all device types. Switching output format requires minimal changes in code.
 This package is ideal for large-scale batch processing, because it will
 never leave open graphics devices or incomplete image files behind, even on
 errors or user interrupts.

Package: r-cran-r.filesets
Architecture: all
Version: 2.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 683
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.oo, r-cran-digest, r-cran-r.methodss3, r-cran-r.utils, r-cran-r.cache
Suggests: r-cran-gtools
Filename: pool/dists/focal/main/r-cran-r.filesets_2.15.1-1.ca2004.1_all.deb
Size: 561536
MD5sum: 3f2a86b0edccdeb15824fc5c20eb1234
SHA1: 4cd093580a07504dbd985662d096a1683461f9e1
SHA256: 362d8bee1098234beebd8d978ef7a35d83dc8bc560d716f3fb428e36d76806c4
SHA512: 236977828584f82b5f811f37fa964f332eedfc8720d53c432b00fafc82bc4808dd71db5fb400c16fbc682332b321abc0e8fcafe013598931d36ef64071b6548c
Homepage: https://cran.r-project.org/package=R.filesets
Description: CRAN Package 'R.filesets' (Easy Handling of and Access to Files Organized in StructuredDirectories)
 A file set refers to a set of files located in one or more directories on
 the file system.  This package provides classes and methods to locate,
 setup, subset, navigate and iterate such sets.  The API is designed such
 that these classes can be extended via inheritance to provide a richer API
 for special file formats.  Moreover, a specific name format is defined such
 that filenames and directories can be considered to have full names which
 consists of a name followed by comma-separated tags.  This adds additional
 flexibility to identify file sets and individual files.  NOTE: This
 package's API should be considered to be in an beta stage.  Its main purpose
 is currently to support the aroma.* packages, where it is one of the main
 core components; if you decide to build on top of this package, please
 contact the author first.

Package: r-cran-r.huge
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-r.huge_0.10.1-1.ca2004.1_all.deb
Size: 208864
MD5sum: 0b7090f9c5dfd50c241e1b671624b8e6
SHA1: d42bb8961513bed6d8b616c9d200e1d6f02bf73b
SHA256: 3791dcbc725535b8451faabeb7538ddb0d5dd42f8bfccefceb3bdab3d94c1f32
SHA512: 3eadbdad2c26c4976d70e431fbeaf88a4130aa3e965c7d91d4ab7f80d12e08d9de8dd627e34a8688701b03f7d881dab8c7b85fa30d44f7004633ae78093cea5d
Homepage: https://cran.r-project.org/package=R.huge
Description: CRAN Package 'R.huge' (Methods for Accessing Huge Amounts of Data [deprecated])
 DEPRECATED. Do not start building new projects based on this package.
 Cross-platform alternatives are the following packages: bigmemory (CRAN), ff
 (CRAN), BufferedMatrix (Bioconductor).  The main usage of it was inside the
 aroma.affymetrix package. (The package currently provides a class
 representing a matrix where the actual data is stored in a binary format on
 the local file system.  This way the size limit of the data is set by the
 file system and not the memory.)

Package: r-cran-r.jive
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4316
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots, r-cran-abind
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r.jive_2.4-1.ca2004.1_all.deb
Size: 4048136
MD5sum: 48ac75c2118af7f2b7a78ddd5dcd79cb
SHA1: b9364b11802299ac9a2349a4053891a1b483c385
SHA256: 86213bfbd22ccd4546235108ad6e6ac61090d76ec44ecd3c223095c2e871be83
SHA512: 961d3774cbcb3016e22049da585f31ee191cf5a3372b800d67534e58dd4a202c4587b039fad2f8141c1ba5e6fa0ac725057ec7a28f49f65691867532cc4aecc3
Homepage: https://cran.r-project.org/package=r.jive
Description: CRAN Package 'r.jive' (Perform JIVE Decomposition for Multi-Source Data)
 Performs the Joint and Individual Variation Explained (JIVE) decomposition
 on a list of data sets when the data share a dimension, returning low-rank
 matrices that capture the joint and individual structure of the data
 [O'Connell, MJ and Lock, EF (2016) <doi:10.1093/bioinformatics/btw324>]. It
 provides two methods of rank selection when the rank is unknown, a
 permutation test and a Bayesian Information Criterion (BIC) selection
 algorithm. Also included in the package are three plotting functions for
 visualizing the variance attributed to each data source: a bar plot that
 shows the percentages of the variability attributable to joint and
 individual structure, a heatmap that shows the structure of the variability,
 and principal component plots.

Package: r-cran-r.matlab
Architecture: all
Version: 3.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils
Suggests: r-cran-matrix, r-cran-sparsem
Filename: pool/dists/focal/main/r-cran-r.matlab_3.7.0-1.ca2004.1_all.deb
Size: 266548
MD5sum: 40dc061bcd56078347154d0f0b0de39d
SHA1: e6cdacb04fd70766175943056508b07169d995f1
SHA256: 1a204d6618c68b674cf351ba7e48e370e7944bcfaba667f90c9bfc5ebef39f32
SHA512: 466f337aba50324eaecc88050c9f4f86f284a98c792527a5fcdbea9407e559730989acf60e89f9258b990582bde56faf76f61872e525c460ff336b4be4a1d22a
Homepage: https://cran.r-project.org/package=R.matlab
Description: CRAN Package 'R.matlab' (Read and Write MAT Files and Call MATLAB from Within R)
 Methods readMat() and writeMat() for reading and writing MAT files.  For
 user with MATLAB v6 or newer installed (either locally or on a remote host),
 the package also provides methods for controlling MATLAB (trademark) via R
 and sending and retrieving data between R and MATLAB.

Package: r-cran-r.methodss3
Architecture: all
Version: 1.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-codetools
Filename: pool/dists/focal/main/r-cran-r.methodss3_1.8.2-1.ca2004.1_all.deb
Size: 81144
MD5sum: c1629894e186c9c2d8a17eea0fef7eda
SHA1: dc05acf0006ead163effa730eb9e0d9bbd1552eb
SHA256: 89bddbd6745ac054eef2bf97cbda5a69f92ac3de5fee0d3436ca41ada3bccb45
SHA512: b2faef34d9704897253e9487a75a73c5ee9293649d5e2f82d3064d14ae1c859aee8d3bc586418c82a7a493be609b961a1fe2140b2378ba1264d84b28a2e4d794
Homepage: https://cran.r-project.org/package=R.methodsS3
Description: CRAN Package 'R.methodsS3' (S3 Methods Simplified)
 Methods that simplify the setup of S3 generic functions and S3 methods.
 Major effort has been made in making definition of methods as simple as
 possible with a minimum of maintenance for package developers.  For example,
 generic functions are created automatically, if missing, and naming conflict
 are automatically solved, if possible.  The method setMethodS3() is a good
 start for those who in the future may want to migrate to S4.  This is a
 cross-platform package implemented in pure R that generates standard S3
 methods.

Package: r-cran-r.oo
Architecture: all
Version: 1.27.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.methodss3
Filename: pool/dists/focal/main/r-cran-r.oo_1.27.1-1.ca2004.1_all.deb
Size: 961352
MD5sum: 36ee2d8c49bcf8545a7f88be3d33fb78
SHA1: a7d417024c99fe9451b5006b74dd558279de5601
SHA256: 4887727ad9ef03eb0214ac7e799afe21941c052d2a17541f6223291ec4cbd466
SHA512: a924ceafd2263d2f315254b97e4921d409970bfc488746316feea046999bc1864e2c4ae255eac639b03f584087d77c1712934c6592c714416fc3443a086f836b
Homepage: https://cran.r-project.org/package=R.oo
Description: CRAN Package 'R.oo' (R Object-Oriented Programming with or without References)
 Methods and classes for object-oriented programming in R with or without
 references.  Large effort has been made on making definition of methods as
 simple as possible with a minimum of maintenance for package developers.
 The package has been developed since 2001 and is now considered very stable.
 This is a cross-platform package implemented in pure R that defines standard
 S3 classes without any tricks.

Package: r-cran-r.proxy
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-r.proxy_0.1.3-1.ca2004.1_all.deb
Size: 17116
MD5sum: 764401ae2d1b42dda6ecc6c542151a4e
SHA1: ca3d0e7403e8a974072ccf66fc5b007d2cbf7ebf
SHA256: d678b003fd363a2b85417b7ab6ec2b8af885224051f2acc920b7ca8914cce3c8
SHA512: e0755b5097fa827638b2455de017da6af1c63f92ca610e497fb12d684fbd4dc843af04b8327da9bd2ff41fd44fea30db180de3dafd364c930ae8422df29e3c6d
Homepage: https://cran.r-project.org/package=r.proxy
Description: CRAN Package 'r.proxy' (Set Proxy in R Console)
 The use of proxies is required in certain network environments.  Despite the
 power of system level software, it is still inconvenient to switch proxy
 networks at random in R's console. This package is designed to provide
 one-click switching between proxy and non-proxy states.

Package: r-cran-r.rsp
Architecture: all
Version: 0.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1803
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r.methodss3, r-cran-r.oo, r-cran-r.utils, r-cran-r.cache, r-cran-digest
Suggests: r-cran-markdown, r-cran-knitr, r-cran-r.devices, r-cran-base64enc, r-cran-ascii
Filename: pool/dists/focal/main/r-cran-r.rsp_0.46.0-1.ca2004.1_all.deb
Size: 1353420
MD5sum: 11bdbc5c90c1eebe0abc52cf7794b80b
SHA1: 25ab29854c1672ce6dc8b89babc72ea5b4128b56
SHA256: f88921b9cf40df977e545ed09a016aa678341b36a6b3e89f9564efc077a69a8f
SHA512: 6b4a6e0c74665306f583f402ce3eb16ec2d9749e9cfb498c14d5b6f84b1d723618faabea1467adf9a43048225c2c864f77bd5eb602f3e1baedc5aeb1b5553024
Homepage: https://cran.r-project.org/package=R.rsp
Description: CRAN Package 'R.rsp' (Dynamic Generation of Scientific Reports)
 The RSP markup language makes any text-based document come alive.  RSP
 provides a powerful markup for controlling the content and output of LaTeX,
 HTML, Markdown, AsciiDoc, Sweave and knitr documents (and more), e.g.
 'Today's date is <%=Sys.Date()%>'.  Contrary to many other literate
 programming languages, with RSP it is straightforward to loop over mixtures
 of code and text sections, e.g. in month-by-month summaries.  RSP has also
 several preprocessing directives for incorporating static and dynamic
 contents of external files (local or online) among other things.  Functions
 rstring() and rcat() make it easy to process RSP strings, rsource() sources
 an RSP file as it was an R script, while rfile() compiles it (even online)
 into its final output format, e.g. rfile('report.tex.rsp') generates
 'report.pdf' and rfile('report.md.rsp') generates 'report.html'.  RSP is
 ideal for self-contained scientific reports and R package vignettes.  It's
 easy to use - if you know how to write an R script, you'll be up and running
 within minutes.

Package: r-cran-r.sambada
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1496
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-snprelate, r-bioc-gdsfmt
Suggests: r-cran-rcpp, r-cran-data.table, r-cran-shiny, r-cran-plotly, r-cran-httr, r-bioc-biomart, r-cran-ggplot2, r-cran-sp, r-cran-packcircles, r-cran-raster, r-cran-mapplots, r-cran-spdep, r-cran-rgdal, r-cran-rworldmap, r-cran-doparallel, r-cran-foreach, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r.sambada_0.1.3-1.ca2004.1_all.deb
Size: 505876
MD5sum: 0a41e27b590a6f60fc7884c8ab48c712
SHA1: 1b803ffa8ad1704feab5f8cfdde91227d428f1c5
SHA256: 6cc5cad90fbf968a533d37ea52521c0eaf424f5aadbe444fb0de2ca9b307d54e
SHA512: 9d823a2e83b159382ff031b06518a06c9d7a568653e9eaa7cb29f7562cf3a808a4cd1e834339f8bc6999ff573f4b3643aeb2edfc3840046e81e5f981d770c7b6
Homepage: https://cran.r-project.org/package=R.SamBada
Description: CRAN Package 'R.SamBada' (Processing Pipeline for 'SamBada' from Pre- To Post-Processing)
 Processing pipeline for 'SamBada' from pre- to post-processing.  'SamBada'
 is a landscape genomic software designed to run univariate or multivariate
 logistic regression between the presence of a genotype and one or several
 environmental variables. See Stucki (2017) <doi:10.1111/1755-0998.12629> and
 <https://github.com/Sylvie/sambada>.  The package provides functions that
 can be classified into four categories: 1) Install 'SamBada' 2)
 Preprocessing (prepare genomic file into standards compatible with 'SamBada'
 and apply quality-control; retrieve environmental conditions at sampling
 location; prepare environmental file including removal of correlated
 variables and computation of population structure) 3) Processing (run
 'SamBada' on multiple cores using 'Supervision') 4) Post-processing
 (calculate p-values and q-values, produce interactive Manhattan plots and
 query 'Ensembl' database, produce maps).

Package: r-cran-r.temis
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tm, r-cran-nlp, r-cran-slam, r-cran-factominer, r-cran-explor, r-cran-testthat, r-cran-wordcloud, r-cran-igraph, r-cran-stringi, r-cran-crayon, r-cran-snowballc, r-cran-tm.plugin.factiva, r-cran-tm.plugin.lexisnexis, r-cran-tm.plugin.europresse, r-cran-tm.plugin.alceste
Filename: pool/dists/focal/main/r-cran-r.temis_0.1.3-1.ca2004.1_all.deb
Size: 191856
MD5sum: 0d4df1850d206043298a23f81d0ba8b8
SHA1: d8a9046ef3de6234c4002aafb918c27b1185c99b
SHA256: bf599955c5fef0bbbacf0e790e36c1854b35e49e6fbd7110f1ba6218abb94cb8
SHA512: b1e4eaf8458c86c6ec904168d3b4fb3446483217f106c93bb44cf93198706ac99f47697006a6b2f07578fd68f6c8f0615a7b640deb9db6a9397850562e58e951
Homepage: https://cran.r-project.org/package=R.temis
Description: CRAN Package 'R.temis' (Integrated Text Mining Solution)
 An integrated solution to perform a series of text mining tasks such as
 importing and cleaning a corpus, and analyses like terms and documents
 counts, lexical summary, terms co-occurrences and documents similarity
 measures, graphs of terms, correspondence analysis and hierarchical
 clustering. Corpora can be imported from spreadsheet-like files, directories
 of raw text files, as well as from 'Dow Jones Factiva', 'LexisNexis',
 'Europresse' and 'Alceste' files.

Package: r-cran-r.utils
Architecture: all
Version: 2.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1580
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.oo, r-cran-r.methodss3
Suggests: r-cran-digest
Filename: pool/dists/focal/main/r-cran-r.utils_2.13.0-1.ca2004.1_all.deb
Size: 1374432
MD5sum: e58256165d8cf4b993de09b6df453915
SHA1: e3d04ef5a440efd40e66617a0844eb850c48bd9c
SHA256: 803da26432d9c7895f790909fbc1d9c86a0ad1ca920c18906e796687ef368c33
SHA512: 243a2884b3680df8655aa330d4625ec8664acfb0c2dee0e477b91e565520215861cbf4e5e37163ef2efa092f1c2af722198ff741f99614970c576c43ebaac29b
Homepage: https://cran.r-project.org/package=R.utils
Description: CRAN Package 'R.utils' (Various Programming Utilities)
 Utility functions useful when programming and developing R packages.

Package: r-cran-r02pro
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1076
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-learnr
Filename: pool/dists/focal/main/r-cran-r02pro_0.2-1.ca2004.1_all.deb
Size: 867280
MD5sum: b38ad1901faf9471ef135383f91e90a6
SHA1: 36550ab30155c64d0e2ed071a4ed93b0f5d72849
SHA256: bf135b5f0a7c0e4cc199db339b0918a6e014075ac3cbf62f9573c65a0a9d03a7
SHA512: 37031331023bd9527df95626d4b6a0bcc9e768d98d487f0e8a1505b34b83b021932da439a04acc3269ee6b25996de636bcc40ba659b51583d1fd3780d9b38123
Homepage: https://cran.r-project.org/package=r02pro
Description: CRAN Package 'r02pro' (R Programming: Zero to Pro)
 This is a companion package of the book "R Programming: Zero to Pro"
 <https://r02pro.github.io/>. It contains the datasets used in the book and
 provides interactive exercises corresponding to the book. It covers a wide
 range of topics including visualization, data transformation, tidying data,
 data input and output.

Package: r-cran-r0
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-r0_1.3-1-1.ca2004.1_all.deb
Size: 243432
MD5sum: 736ccd1dbca77fb045b5422c0528ed5b
SHA1: 5d1e721bad4b4e2a912123d8d7b4e1fc2c2b1337
SHA256: 08c4354712b43455e84b6257e7a3bac5b414cab4025f21038cfb4c2315739acd
SHA512: 6b59d84f52538258c8eb7446ffec101458464cf59297947f11e2a22663e4d03c2c1df3171def9341215b63f25e2cb5d1426b3f0fc903bf7e35b147e01c378fb0
Homepage: https://cran.r-project.org/package=R0
Description: CRAN Package 'R0' (Estimation of R0 and Real-Time Reproduction Number fromEpidemics)
 Estimation of reproduction numbers for disease outbreak, based on incidence
 data. The R0 package implements several documented methods. It is therefore
 possible to compare estimations according to the methods used.  Depending on
 the methods requested by user, basic reproduction number (commonly denoted
 as R0) or real-time reproduction number (referred to as R(t)) is computed,
 along with a 95% Confidence Interval. Plotting outputs will give different
 graphs depending on the methods requested : basic reproductive number
 estimations will only show the epidemic curve (collected data) and an
 adjusted model, whereas real-time methods will also show the R(t) variations
 throughout the outbreak time period. Sensitivity analysis tools are also
 provided, and allow for investigating effects of varying Generation Time
 distribution or time window on estimates.

Package: r-cran-r1magic
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-r1magic_0.3.4-1.ca2004.1_all.deb
Size: 45536
MD5sum: bfebea32680be6e650445756884793c6
SHA1: 019916ae4cf98feccec66730578fb9ede364987b
SHA256: c91067d1c8b831fa60feb9302db18ee27a52d7782a76c87d825974bbf4582b38
SHA512: 8cd8b19e382558ad9e43dcb710a03b1a22d6d57be2a3370fb3d8f180181f0b7df1e3519f3ec4aee3b0f7ad693d918b4e30dc42e207e6d8e9442ff8b0bd2493eb
Homepage: https://cran.r-project.org/package=R1magic
Description: CRAN Package 'R1magic' (Compressive Sampling: Sparse Signal Recovery Utilities)
 Utilities for sparse signal recovery suitable for compressed sensing. L1, L2
 and TV penalties, DFT basis matrix, simple sparse signal generator, mutual
 cumulative coherence between two matrices and examples, Lp complex norm,
 scaling back regression coefficients.

Package: r-cran-r2019ncov
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1417
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-ggplot2, r-cran-dplyr, r-cran-pinyin, r-cran-maps
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r2019ncov_0.1.0-1.ca2004.1_all.deb
Size: 1300232
MD5sum: 8a5dde9e089d9d00ed5d174b30c30217
SHA1: 04ff62998ad301664a5495ca6359707dba2d632a
SHA256: 059abe4f4f542e609289f4106064f396efe5acbd67822fca934b48daa76d6912
SHA512: ac4b55665b46db6315b9c41f01b0fdc2cffe97d312d86b424c00cfe0bcbe644fc87cf24cdfb852b0cfb803c5d9677cf1bc7cae4bc54df1bb4fa14065c28905aa
Homepage: https://cran.r-project.org/package=R2019nCoV
Description: CRAN Package 'R2019nCoV' (Analysis of 2019-nCoV Virus)
 Since December 2019, Wuhan City, Hubei Province has continued to carry out
 surveillance of influenza and related diseases, and found multiple cases of
 viral pneumonia, all of which were diagnosed with viral pneumonia /
 pulmonary infection. On January 12, 2020, the World Health Organization
 officially named the new coronavirus causing the pneumonia epidemic in Wuhan
 as "2019 New Coronavirus (2019-nCoV)". The current epidemic situation is
 very serious, here we developed an R package for 2019-nCoV
 analysis(Real-time monitoring and Visualization) by querying real-time
 statistics of 2019-nCoV virus cases from
 <https://view.inews.qq.com/g2/getOnsInfo?name=disease_h5&callback=1580373566110>
 and performing follow-up analysis.

Package: r-cran-r2addhaz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ahaz, r-cran-pracma, r-cran-zoo, r-cran-catools, r-cran-survival, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-r2addhaz_0.1.0-1.ca2004.1_all.deb
Size: 20920
MD5sum: 52edd2e557bfd9e85f1922ae4ee17287
SHA1: 74e0c4d5f57fea4cb4847bd1e5541a3f8e255084
SHA256: 5094575f5d53bb63828f7aedd079795f6ae7dfa81cde36035a7bf080224a47b1
SHA512: 8f6bcd3920e786b4e3960e38b64adfe0552d1dc16ea3d22d7b4182c6f0ce2c90e809f5f2f45da53fc439370695995e542fb8c8a75d4f21d381ff3e3ac53e30ce
Homepage: https://cran.r-project.org/package=R2Addhaz
Description: CRAN Package 'R2Addhaz' (R2 Measure of Explained Variation under the Additive HazardsModel)
 R^2 measure of explained variation under the semiparametric additive hazards
 model is estimated. The measure can be used as a measure of predictive
 capability and therefore it can be adopted in model selection process. Rava,
 D. and Xu, R. (2020) <arXiv:2003.09460>.

Package: r-cran-r2admb
Architecture: all
Version: 0.7.16.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 690
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-coda, r-cran-lattice
Suggests: r-cran-bbmle, r-cran-lme4, r-cran-ggplot2, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r2admb_0.7.16.3-1.ca2004.1_all.deb
Size: 570636
MD5sum: c61e772d31ea3ae6ed784c6f5da846f5
SHA1: e7fbfd1fa0feb4837ef77655ede4e9544c01152b
SHA256: 6115f10eb9b0a4a8f0a3e745491f57c62689085ead5ebf5e84f79fa260248b7e
SHA512: 71133bb321850e314ec0bf20337658bd5fa189ecf486f0695941929d4fc7b08d7c879acd532ba8f1d1fa04efa877f217b2ac749e27b68618fffc246e8a1db979
Homepage: https://cran.r-project.org/package=R2admb
Description: CRAN Package 'R2admb' ('ADMB' to R Interface Functions)
 A series of functions to call 'AD Model Builder' (i.e., compile and run
 models) from within R, read the results back into R as 'admb' objects, and
 provide standard accessors (i.e.  coef(), vcov(), etc.)

Package: r-cran-r2beat
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3853
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sampling, r-cran-glue, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-r2beat_1.0.5-1.ca2004.1_all.deb
Size: 641188
MD5sum: 24800261fd8faba906470596c1041278
SHA1: ccb0927cfe19f7f7bc0ee6caa97a61dcbb05ad45
SHA256: 5dcadfe5c42bfd0459c9e04b8a84d952f7d88542dc2c4bf0517d0aa91d572f4c
SHA512: bf6b6b20c427e73ebe0efe0bb20cc78bd187805e0a33b863195b40fa5631b6e5c633c4f01d93a3ec76847935af21ef68f4d74103ee4ee2489b9a449fa81d3627
Homepage: https://cran.r-project.org/package=R2BEAT
Description: CRAN Package 'R2BEAT' (Multistage Sampling Allocation and Sample Selection)
 Multivariate optimal allocation for different domains in one and two stages
 stratified sample design. 'R2BEAT' extends the Neyman (1934) – Tschuprow
 (1923) allocation method to the case of several variables, adopting a
 generalization of the Bethel’s proposal (1989). 'R2BEAT' develops this
 methodology but, moreover, it allows to determine the sample allocation in
 the multivariate and multi-domains case of estimates for two-stage
 stratified samples. It also allows to perform both Primary Stage Units and
 Secondary Stage Units selection. This package requires the availability of
 'ReGenesees', that can be installed from
 <https://github.com/DiegoZardetto/ReGenesees>.

Package: r-cran-r2country
Architecture: all
Version: 2.0.2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quickcode
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2country_2.0.2.4.0-1.ca2004.1_all.deb
Size: 352792
MD5sum: c5d641ad8969c2230ba6fcc8447374f5
SHA1: 568759b6e4cdf9db951a3db41b53d15e74f8545d
SHA256: d1b858be5ea3d8652152d7d9d0efbf890ba2d2eec46dc121654f6c302d770ffa
SHA512: 139af269c1ecdecb6c9a812b5899b5a5deb63f214e75561ae66dafba1526bf70e00e707f0a486368967f46fd7cbfa934e710c2a8af85b81ef7b155f6feac9e97
Homepage: https://cran.r-project.org/package=r2country
Description: CRAN Package 'r2country' (Country Data with Names, Capitals, Currencies, Populations,Time, Languages and so on)
 Obtain information about countries around the globe. Information for names,
 states, languages, time, capitals, currency and many more. Data source are
 'Wikipedia' <https://www.wikipedia.org>, 'TimeAndDate'
 <https://www.timeanddate.com> and 'CountryCode' <https://countrycode.org>.

Package: r-cran-r2d2
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kernsmooth, r-cran-mass, r-cran-sp
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-r2d2_1.0.2-1.ca2004.1_all.deb
Size: 53088
MD5sum: 5b03fce5d781dc51d1d7435c3e7c8e00
SHA1: cbdc7822567580e0329789edf5cd1527fd8f76bf
SHA256: 36fb33d2ebff794085bf09e1ede1474598a2f0cec10cb572d16ed8aeb2938ded
SHA512: fb84507dbae014b9c00d85923554df06e805878591e1c6db2641c5654bc69a974e8d8af963de076fbba960827b5eff8ca77a79d194bdafa91ee2c4f5a9ed784e
Homepage: https://cran.r-project.org/package=r2d2
Description: CRAN Package 'r2d2' (Bivariate (Two-Dimensional) Confidence Region and FrequencyDistribution)
 Generic functions to analyze the distribution of two continuous variables:
 'conf2d' to calculate a smooth empirical confidence region, and 'freq2d' to
 calculate a frequency distribution.

Package: r-cran-r2d3
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3532
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jsonlite, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r6, r-cran-shiny, r-cran-shinytest, r-cran-testthat, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-r2d3_0.2.6-1.ca2004.1_all.deb
Size: 1603280
MD5sum: deb8c4acbe34ad4798b1242cc1d69a1e
SHA1: f25b5ce81a3fc54f3899ef02453dd596a5afb2fd
SHA256: 056cafc37c1223f879923797a35f897add9828017f78897f3ae463564caed342
SHA512: 76557bae3f0829f79ebc94eda56b7e747b6e1f2b5698535e03ad9ccc73bb82fe0a7d32e0a74766acba160d4be1dbfb23c071151bd9f4316e1ada88da407e5f17
Homepage: https://cran.r-project.org/package=r2d3
Description: CRAN Package 'r2d3' (Interface to 'D3' Visualizations)
 Suite of tools for using 'D3', a library for producing dynamic, interactive
 data visualizations. Supports translating objects into 'D3' friendly data
 structures, rendering 'D3' scripts, publishing 'D3' visualizations,
 incorporating 'D3' in R Markdown, creating interactive 'D3' applications
 with Shiny, and distributing 'D3' based 'htmlwidgets' in R packages.

Package: r-cran-r2dgc
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r2dgc_1.0.3-1.ca2004.1_all.deb
Size: 693588
MD5sum: 52bc0fe053e87cc614ea03feaa97d434
SHA1: 246246cfe5e868ecb2b1053d0ed7af90d1eca4fd
SHA256: bf97947c8f5543eac35143dc9f9eb097ed9dabf060c07e29140859af8351d8bc
SHA512: e4afaca1f8c214a0072b5c86dc7ed5dbd15e50095ec5d6e57f58d31ab192f6176ddc6ef53ca94aa1d35f2eba66527b1d0bb6d1a9fb827cf73e0482d8c0b700d3
Homepage: https://cran.r-project.org/package=R2DGC
Description: CRAN Package 'R2DGC' (Multiple Peak Alignment for 2D Gas Chromatography MassSpectrometry Metabolomics Analysis)
 Provides functions for aligning 2D gas chromatography mass spectrometry
 derived metabolite peaks obtained from primary processing and generates an
 alignment table that allows for a comparison of common peaks across samples
 and metabolite identification. Publication describing the package in detail
 is available at the following citation: Ryne C. Ramaker, Emily Gordon, Sara
 J. Cooper (2017) <doi:10.1101/179168>.

Package: r-cran-r2dictionary
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-rstudioapi
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-r2dictionary_0.3-1.ca2004.1_all.deb
Size: 5197012
MD5sum: 85453c54e5871b886c00d19d51185d65
SHA1: 87bfdf5ceaee64edd10847eff8af95b633a71a05
SHA256: d26d030f782f99a89ae6e1b8a83f49cb03035063e726e9a91e915770f8fcc5bf
SHA512: 8664ffe3241aa68a61bc0597d5af00c19ee045ccb4bd7ec18e14b9e8b4dd22813f9c87140603eb3bb52765ffa701ea8dc110d3def4fbc076ee73b1090af9f669
Homepage: https://cran.r-project.org/package=r2dictionary
Description: CRAN Package 'r2dictionary' (A Mini-Dictionary for 'R', 'shiny' and 'rmarkdown' Documents)
 Despite the predominant use of R for data manipulation and various robust
 statistical calculations, in recent years, more people from various
 disciplines are beginning to use R for other purposes. In doing this
 seemlessly, further tools are needed users to easily and freely write in R
 for all kinds of purposes. The r2dictionary introduces a means for users to
 directly search for definitions of terms within the R environment.

Package: r-cran-r2dii.analysis
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-r2dii.data, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-cli, r-cran-covr, r-cran-r2dii.match, r-cran-readr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-waldo, r-cran-withr
Filename: pool/dists/focal/main/r-cran-r2dii.analysis_0.5.2-1.ca2004.1_all.deb
Size: 149268
MD5sum: 3134078b1f1f3d669a0c37963bb68b5d
SHA1: df7ecf72ee5fb2dd9fc05b72a1f8b77190d4b5e2
SHA256: 9576da00da882e4903ff5e9ec87c0008991bd709f63c1156a30e13288c90302a
SHA512: be6001b16aa6aabfc856f27b168e21b9a05748747e1cd9d5f4fe4394295933ce51184788673f8909452793b41d80e37fc22f17decafb7f9b74bb23d53c476c90
Homepage: https://cran.r-project.org/package=r2dii.analysis
Description: CRAN Package 'r2dii.analysis' (Measure Climate Scenario Alignment of Corporate Loans)
 These tools help you to assess if a corporate lending portfolio aligns with
 climate goals. They summarize key climate indicators attributed to the
 portfolio (e.g. production, emission factors), and calculate alignment
 targets based on climate scenarios.  They implement in R the last step of
 the free software 'PACTA' (Paris Agreement Capital Transition Assessment;
 <https://www.transitionmonitor.com/>). Financial institutions use 'PACTA' to
 study how their capital allocation decisions align with climate change
 mitigation goals.

Package: r-cran-r2dii.data
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lifecycle
Suggests: r-cran-charlatan, r-cran-covr, r-cran-readr, r-cran-rlang, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2dii.data_0.6.1-1.ca2004.1_all.deb
Size: 339808
MD5sum: 749e96840560058cbb17f27127621710
SHA1: 7aa1372ce2d18ae37247961cd8d9c8bd56921719
SHA256: e27a639477302264a5cda16767ea75f31b7b33058324734275f70e76db512db3
SHA512: ca199ddd61d52287754032eaa2ef22e366af76409f9edf883716617df09dbd6cbf0e89630b646b31f846e041d6812c3d373e7f1390356bbc79c662fc99073820
Homepage: https://cran.r-project.org/package=r2dii.data
Description: CRAN Package 'r2dii.data' (Datasets to Measure the Alignment of Corporate Loan Books withClimate Goals)
 These datasets support the implementation in R of the software 'PACTA'
 (Paris Agreement Capital Transition Assessment), which is a free tool that
 calculates the alignment between corporate lending portfolios and climate
 scenarios (<https://www.transitionmonitor.com/>). Financial institutions use
 'PACTA' to study how their capital allocation decisions align with climate
 change mitigation goals. Because both financial institutions and market data
 providers keep their data private, this package provides fake, public data
 to enable the development and use of 'PACTA' in R.

Package: r-cran-r2dii.match
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-r2dii.data, r-cran-rlang, r-cran-stringdist, r-cran-stringi, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-readr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-r2dii.match_0.4.1-1.ca2004.1_all.deb
Size: 113472
MD5sum: a29aa7d5d708797e357e61bdea18b109
SHA1: 6fa9db1ba28f3998c17c7713a2f41e82ea1552d8
SHA256: 34f9827de2f482241f5babda0b3501c15514622d7507a174426536537acb1cab
SHA512: ef36f66d402954b493b447b3ad21a489ff12e50647a09d831ac114d47c7dc1178999f8ee75cba75a2ddfb8c9e6a7f101f04555bd6e3ce16480ff368dec4062c8
Homepage: https://cran.r-project.org/package=r2dii.match
Description: CRAN Package 'r2dii.match' (Tools to Match Corporate Lending Portfolios with Climate Data)
 These tools implement in R a fundamental part of the software 'PACTA' (Paris
 Agreement Capital Transition Assessment), which is a free tool that
 calculates the alignment between financial portfolios and climate scenarios
 (<https://www.transitionmonitor.com/>). Financial institutions use 'PACTA'
 to study how their capital allocation decisions align with climate change
 mitigation goals. This package matches data from corporate lending
 portfolios to asset level data from market-intelligence databases (e.g.
 power plant capacities, emission factors, etc.). This is the first step to
 assess if a financial portfolio aligns with climate goals.

Package: r-cran-r2dii.plot
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-r2dii.data, r-cran-rlang, r-cran-stringr, r-cran-scales
Suggests: r-cran-cli, r-cran-covr, r-cran-r2dii.analysis, r-cran-r2dii.match, r-cran-readr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-r2dii.plot_0.5.2-1.ca2004.1_all.deb
Size: 286016
MD5sum: 3445aa3ea2d73f19ca224b697150bf11
SHA1: 785642bee98c4ea0b5ef52e68d05ca02b3dd148c
SHA256: 213e7af7b6222db1c5e7d86c551d9c3b169d6f993d0c5b14f321bc818fa83221
SHA512: 6806baf5e0bf51a53568ce8d5532225c4525d0e6f8e6776e9041ab4e23c4e94c3cfecfc158be62511e307be5662ffb4e8d4834184dd81acb7d84289e13c07dd8
Homepage: https://cran.r-project.org/package=r2dii.plot
Description: CRAN Package 'r2dii.plot' (Visualize the Climate Scenario Alignment of a FinancialPortfolio)
 Create plots to visualize the alignment of a corporate lending financial
 portfolio to climate change scenarios based on climate indicators
 (production and emission intensities) across key climate relevant sectors of
 the 'PACTA' methodology (Paris Agreement Capital Transition Assessment;
 <https://www.transitionmonitor.com/>).  Financial institutions use 'PACTA'
 to study how their capital allocation decisions align with climate change
 mitigation goals.

Package: r-cran-r2drue
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgdal, r-cran-sp, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-r2drue_1.0.4-1.ca2004.1_all.deb
Size: 132856
MD5sum: 802ce975f63090fa2cc41bef8960a7cc
SHA1: eda720d73fb4c34a69a21a3d5e1440227ae8471a
SHA256: e9f3696d1f31bb2fa2bb853bef43fc569bbee72f14dffc4df2854a816529ebf3
SHA512: 54e1eb3a7e4e73d92d2259b7dba4fe0a2a00e7357d013e98eff1326039e03ec4296de231e5bc00546a3e1a7d6b5865bd53325526846a5254c35fb6b44ad15190
Homepage: https://cran.r-project.org/package=r2dRue
Description: CRAN Package 'r2dRue' (2d Rain Use Efficience model)
 2dRUE is a methodology to make a diagnostic of land condition in a large
 territory during a given time period. The following projects have funded
 this package: DeSurvey IP (EC FP6 Integrated Project contract No. 003950),
 DesertWatch (ESA DUE contract No. 18487/04/I-LG) and MesoTopos (Junta de
 Andalucia PE ref. RNM-4023).

Package: r-cran-r2dt
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-plyr, r-cran-devfunc
Filename: pool/dists/focal/main/r-cran-r2dt_0.2-1.ca2004.1_all.deb
Size: 67988
MD5sum: c20a35c175d2adf009a0bb78d017ad4e
SHA1: 3091de8bb2e6b1ce15cf02ad897cd1937ddc854e
SHA256: cc73a7ba8f3e39c347e1e343838e15e8e7e18be7ae2d74a6584615d7469dc170
SHA512: ae0a79b36335c401dd161d11c50847dc8175768dcce8747ea5a390c3cfdf05d7c1eb255a4790fa48d0df6c72b768a7bdfe5a5d22898de77bc32937fd1889d971
Homepage: https://cran.r-project.org/package=R2DT
Description: CRAN Package 'R2DT' (Translation of Base R-Like Functions for 'data.table' Objects)
 Some heavily used base R functions are reconstructed to also be compliant to
 data.table objects. Also, some general helper functions that could be of
 interest for working with data.table objects are included.

Package: r-cran-r2fireworks
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1176
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r2fireworks_0.1.0-1.ca2004.1_all.deb
Size: 828136
MD5sum: 075610f3fe61309fe419fc20efedaf71
SHA1: b07309f776c6b5a01015e1ab5029613abdd9498a
SHA256: 161b0b166110c5d988c59b87b77a342da70912d759f52328c21c0176c28af39d
SHA512: 8c44753c648d3132933fca20f057e7cf3c8f381053a6a69d245db12a7598a965d242a1b24e31bb2e6d24ff438b2fcb8dfe4cad77e0b929807806198877445fa1
Homepage: https://cran.r-project.org/package=r2fireworks
Description: CRAN Package 'r2fireworks' (Enhance Your 'Rmarkdown' and 'shiny' Apps with DazzlingFireworks Celebrations)
 Implementation of 'JQuery' <https://jquery.com> and 'CSS' styles to allow
 the display of fireworks on a document. Toolkit to easily incorporate
 celebratory splashes in 'Rmarkdown' and 'shiny' apps.

Package: r-cran-r2glmm
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-matrix, r-cran-pbkrtest, r-cran-ggplot2, r-cran-afex, r-cran-mass, r-cran-gridextra
Suggests: r-cran-lme4, r-cran-nlme, r-cran-testthat, r-cran-data.table, r-cran-dplyr, r-cran-lmertest
Filename: pool/dists/focal/main/r-cran-r2glmm_0.1.3-1.ca2004.1_all.deb
Size: 91924
MD5sum: 3e22f74d32ab1ea2a3b96bba6b5f2286
SHA1: f91031a011fe49ef57d8bf3ac77a7cf5632b7d11
SHA256: 340e765fe8557b12d697273ca6da3d4e5531382a0b616f8cbd8a0ce88a45fdae
SHA512: d191b363daec4792ac6a08e401f9782955a8d9ae5d3f6174ac0d020bc6bd89ac7da8ff6da507cd4d63f8288be029a92b4ddde5f95e01e2d7921429233234b08c
Homepage: https://cran.r-project.org/package=r2glmm
Description: CRAN Package 'r2glmm' (Computes R Squared for Mixed (Multilevel) Models)
 The model R squared and semi-partial R squared for the linear and
 generalized linear mixed model (LMM and GLMM) are computed with confidence
 limits. The R squared measure from Edwards et.al (2008)
 <DOI:10.1002/sim.3429> is extended to the GLMM using penalized
 quasi-likelihood (PQL) estimation (see Jaeger et al. 2016
 <DOI:10.1080/02664763.2016.1193725>). Three methods of computation are
 provided and described as follows. First, The Kenward-Roger approach. Due to
 some inconsistency between the 'pbkrtest' package and the 'glmmPQL'
 function, the Kenward-Roger approach in the 'r2glmm' package is limited to
 the LMM. Second, The method introduced by Nakagawa and Schielzeth (2013)
 <DOI:10.1111/j.2041-210x.2012.00261.x> and later extended by Johnson (2014)
 <DOI:10.1111/2041-210X.12225>.  The 'r2glmm' package only computes marginal
 R squared for the LMM and does not generalize the statistic to the GLMM;
 however, confidence limits and semi-partial R squared for fixed effects are
 useful additions. Lastly, an approach using standardized generalized
 variance (SGV) can be used for covariance model selection. Package
 installation instructions can be found in the readme file.

Package: r-cran-r2html
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 912
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-boot, r-cran-survival, r-cran-cluster, r-cran-nlme, r-cran-rpart, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-r2html_2.3.4-1.ca2004.1_all.deb
Size: 582260
MD5sum: bb40af3f760133ed6baaf105d186ae24
SHA1: 9b3c87f9cba0c0ddc2f5cb8de6e7f8dea4e44b6c
SHA256: 373acb0ad57ef19b23bcfb2860dafe984d205323cd83e494f53238d30bdc6507
SHA512: fce58dc8e370af5251a437a936c42f679c4e8f4bc8ea55ed9814f3d80ee2f7215d6249351eadc54050abf261e2d413ee7b8afa599eab84a8ea4342d956be1e62
Homepage: https://cran.r-project.org/package=R2HTML
Description: CRAN Package 'R2HTML' (HTML Exportation for R Objects)
 Includes HTML function and methods to write in an HTML file. Thus, making
 HTML reports is easy. Includes a function that allows redirection on the
 fly, which appears to be very useful for teaching purpose, as the student
 can keep a copy of the produced output to keep all that he did during the
 course.  Package comes with a vignette describing how to write HTML reports
 for statistical analysis. Finally, a driver for 'Sweave' allows to parse
 HTML flat files containing R code and to automatically write the
 corresponding outputs (tables and graphs).

Package: r-cran-r2jags
Architecture: all
Version: 0.8-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-abind, r-cran-coda, r-cran-r2winbugs, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2jags_0.8-9-1.ca2004.1_all.deb
Size: 106456
MD5sum: 4d3e4af2e42c1cefad36a1072be426e4
SHA1: 5c4de307f97ff9a06d6530365987989cb71beb3b
SHA256: 40eb50cb8009a2486a7d4b370dafa7d17c48f5fbb7dfedf307a6ce8065511b17
SHA512: 1fb51abf656eb80c29b9724188239569e9e17031d4b22f60030fea4c8eaab86c81c1e3cdb7831fff6eae4d328b096453c9fe16a57b8ed71cfc575102da488b68
Homepage: https://cran.r-project.org/package=R2jags
Description: CRAN Package 'R2jags' (Using R to Run 'JAGS')
 Providing wrapper functions to implement Bayesian analysis in JAGS.  Some
 major features include monitoring convergence of a MCMC model using Rubin
 and Gelman Rhat statistics, automatically running a MCMC model till it
 converges, and implementing parallel processing of a MCMC model for multiple
 chains.

Package: r-cran-r2mlm
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-nlme, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-rockchalk, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-r2mlm_0.3.8-1.ca2004.1_all.deb
Size: 408100
MD5sum: c00d330711fdda4bbaab24fa6450f529
SHA1: be27f9daa35514b57e782529d05e91be55721131
SHA256: 1564f43198229021deebf262564a93f24bdc5c6ce7863f4888f4091d9d054e0e
SHA512: 5caf1df94f25d52deca1b1c01a15953401ba4bb42af960d2b00fd60f7b6fe3979f2ab5dbe9679120fdb616593128f17cfb7b2ab495b4254550abfb55ad234ccf
Homepage: https://cran.r-project.org/package=r2mlm
Description: CRAN Package 'r2mlm' (R-Squared Measures for Multilevel Models)
 Generates both total- and level-specific R-squared measures from Rights and
 Sterba’s (2019) <doi:10.1037/met0000184> framework of R-squared measures for
 multilevel models with random intercepts and/or slopes, which is based on a
 complete decomposition of variance. Additionally generates graphical
 representations of these R-squared measures to allow visualizing and
 interpreting all measures in the framework together as an integrated set.
 This framework subsumes 10 previously-developed R-squared measures for
 multilevel models as special cases of 5 measures from the framework, and it
 also includes several newly-developed measures. Measures in the framework
 can be used to compute R-squared differences when comparing multilevel
 models (following procedures in Rights & Sterba (2020)
 <doi:10.1080/00273171.2019.1660605>).  Bootstrapped confidence intervals can
 also be calculated. To use the confidence interval functionality, download
 bootmlm from <https://github.com/marklhc/bootmlm>.

Package: r-cran-r2mlwin
Architecture: all
Version: 0.8-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2638
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-foreign, r-cran-r2winbugs, r-cran-digest, r-cran-texreg, r-cran-foreach, r-cran-doparallel, r-cran-coda, r-cran-lattice, r-cran-memisc, r-cran-broom, r-cran-tibble
Suggests: r-cran-doby, r-cran-car, r-cran-lmtest, r-cran-mitools, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-r2mlwin_0.8-9-1.ca2004.1_all.deb
Size: 1743456
MD5sum: b8669af62a8f176e54ab7d4ca11bdc91
SHA1: b6a31705a781c940ab120f80af29867ce5c065aa
SHA256: be50db80fe1ab04a2d0de3e30038fdc424831bca4091b88fd021f57af604f47f
SHA512: 1c316da6745ab9f7d752a3380d1bbdaef5d7e72264c8028ba4837da352a1102e2d2fcda1b9a2942e05f5d53789efe4a84a9b1015d629922e1273a99d878a506b
Homepage: https://cran.r-project.org/package=R2MLwiN
Description: CRAN Package 'R2MLwiN' (Running 'MLwiN' from Within R)
 An R command interface to the 'MLwiN' multilevel modelling software package.

Package: r-cran-r2openbugs
Architecture: all
Version: 3.2-3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 942
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-boot
Filename: pool/dists/focal/main/r-cran-r2openbugs_3.2-3.2.1-1.ca2004.1_all.deb
Size: 834652
MD5sum: 34bf6f2f2f28d43bd7eb6d034fc09a5c
SHA1: 5954c9290daaffec522935e01882973b5d93dfcf
SHA256: 5884d9480ee45dd7329ad299a7772640d4e1a1b1577d73a607242baca49f7a08
SHA512: e03697d947da976a5be736ce6553bbe776bb122b2d3d604e0efcdee6eed6a59193258fe398a85b15d135e2c43169df543f2d94a847442c7e428ff15d7ee03e53
Homepage: https://cran.r-project.org/package=R2OpenBUGS
Description: CRAN Package 'R2OpenBUGS' (Running OpenBUGS from R)
 Using this package, it is possible to call a BUGS model, summarize
 inferences and convergence in a table and graph, and save the simulations in
 arrays for easy access in R.

Package: r-cran-r2pptx
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-officer
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r2pptx_0.1.0-1.ca2004.1_all.deb
Size: 282316
MD5sum: a40d33c6d56cc1c0a5b248ff47a0cdd2
SHA1: cee8a2dd62f34d046f95f932a19c3abdbf902233
SHA256: 9a5ad606b9554086c0aa70baad03e66c67ef395f98c851234c02676acfcce62e
SHA512: 4a1b3fc32b2a42b4f8bbc81aee99b8af7af02fbccae26fdbaf704efd8fb616a68be6e47ca9cc3ece9e21eebfed6fa80de46a427ab0cb14705481e21dc1fc345b
Homepage: https://cran.r-project.org/package=r2pptx
Description: CRAN Package 'r2pptx' (Object Oriented R -> PowerPoint)
 Provides a friendly, object oriented API for creating PowerPoint slide decks
 in R.

Package: r-cran-r2r
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-rlang
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-microbenchmark, r-cran-hash, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-r2r_0.1.2-1.ca2004.1_all.deb
Size: 74464
MD5sum: 6ceef683ef8d6ea83446c5041a5fc75b
SHA1: cb6104d2a4c541b65410cdb43ad11d20e0381b75
SHA256: 7e271aa4d6308d3e28d63fd915a8cda62095c6aa91e3ea9a98b5f8ffc08e6d20
SHA512: 400040271a7b175e2ec0a53020d0b8b066c522c78b485cb70d0ac75241d19afe9dad7c6f7395e7991bdab9f9a501ddb7ef409e4cbf0c06774f3004eb9e2d2076
Homepage: https://cran.r-project.org/package=r2r
Description: CRAN Package 'r2r' (R-Object to R-Object Hash Maps)
 Implementation of hash tables (hash sets and hash maps) in R, featuring
 arbitrary R objects as keys, arbitrary hash and key-comparison functions,
 and customizable behaviour upon queries of missing keys.

Package: r-cran-r2redux
Architecture: all
Version: 1.0.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2redux_1.0.18-1.ca2004.1_all.deb
Size: 241796
MD5sum: 272d52bbae878319243a24e84fd9c6e5
SHA1: c7070e30451b87ae7b177768df3169137ddb7b59
SHA256: e13b5c341c3293529b296e9af9b31b42116394a741fbbccfeee5b030f63041fa
SHA512: 70f3cac58e426eb6b34d6eef175d41c142364961c5dd21abb02113efb50819c8566e844d8918c8ee6bd63e399c0ea40b786514243ccc4935abe2ad5f7a6e7f51
Homepage: https://cran.r-project.org/package=r2redux
Description: CRAN Package 'r2redux' (R2 Statistic)
 R2 statistic for significance test. Variance and covariance of R2 values
 used to assess the 95% CI and p-value of the R2 difference.

Package: r-cran-r2resize
Architecture: all
Version: 1.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1990
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-quickcode, r-cran-dt
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-r2symbols, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2resize_1.9.2-1.ca2004.1_all.deb
Size: 1331712
MD5sum: 9ef20eff9bab0ef1f285162d4a8764d4
SHA1: eea5433e3d0147665b14f72d43906f3f20f3cd82
SHA256: 86736a7b3e968e0b2439db2ac82dd6b3d5fb1b05456d3ffb6ca86dd2ee47e5eb
SHA512: 3ca13ccc069af652f9ca048ad13b9d0c76d094acdfb8abd59adb2f240ac88e5d91574db816ed985e413075b3166ec83466f354046dd72f29cf2905d28668a2c2
Homepage: https://cran.r-project.org/package=r2resize
Description: CRAN Package 'r2resize' (In-Text Resize for Images, Tables and Fancy Resize Containers in'shiny', 'rmarkdown' and 'quarto' Documents)
 Automatic resizing toolbar for containers, images and tables. Various
 resizer or expandable container functionalities are also included. Most
 suitable to include in 'shiny', 'markdown' and 'quarto' documents.

Package: r-cran-r2roc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-r2roc_1.0.1-1.ca2004.1_all.deb
Size: 460320
MD5sum: 5d9160ff99a1776e9f64d2da4c893f83
SHA1: ac6f4fac90ba2f52f11153a1102ef98c40395598
SHA256: fdf471c5d3adbdd946e300dcaa8017663684e34baa611d942910364d5380d7ae
SHA512: ffe55d2ce17d55cc9fb5fd1df0675dc96c74dc1e4f924ec69018907901df5188b78bc81acb2362233ad241483ddad1f6ab6b629351f2e0f3aa889566685a5673
Homepage: https://cran.r-project.org/package=R2ROC
Description: CRAN Package 'R2ROC' (AUC Statistics)
 Area under the receiver operating characteristic curves (AUC) statistic for
 significance test. Variance and covariance of AUC values used to assess the
 95% Confidence interval (CI) and p-value of the AUC difference for both
 nested and non-nested model.

Package: r-cran-r2rtf
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-dplyr, r-cran-emmeans, r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-officer, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat, r-cran-tidyr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-r2rtf_1.1.4-1.ca2004.1_all.deb
Size: 330256
MD5sum: 554ceb5f74cbf47b7ecf8318fee313e3
SHA1: 54901feb4dd1081c1c0380eb3997f06f3d7d1585
SHA256: 214eba3817a1e302f4bf993c939ebcad70880b5b39601f917af4c2e5b6f3fda5
SHA512: f6aba0c3d9b25f45f0685d0492cba94742696e8367381e929965706baddd5ba231255d2d710d6f4d1cd07182846d0c958069921f807e7057ab104223b9cf77fd
Homepage: https://cran.r-project.org/package=r2rtf
Description: CRAN Package 'r2rtf' (Easily Create Production-Ready Rich Text Format (RTF) Tables andFigures)
 Create production-ready Rich Text Format (RTF) tables and figures with
 flexible format.

Package: r-cran-r2shortcode
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-r2shortcode_0.2-1.ca2004.1_all.deb
Size: 47816
MD5sum: f46e89cb4098962ffe6bad82ac152bd7
SHA1: c7bae1245f8cf0929a6871ea1d7cf667081ef3c7
SHA256: bd4186973b4c3ab5d2e2dfcfb06bb4aa7a1171509f790997a5256d2be0c66952
SHA512: edd34b699fd7a4757beb4eff3fce6146bf4f00a32a19c11bb12aab44eee2a0935af103b71fab1dc37078fc191b28c48144ce0d16abf496c19800a86208fad768
Homepage: https://cran.r-project.org/package=r2shortcode
Description: CRAN Package 'r2shortcode' (Shorten Function Names of Functions in Another Package andCreate an Index to Make Them Accessible)
 When creating a package, authors may sometimes struggle with coming up with
 easy and straightforward function names, and at the same time hoping that
 other packages do not already have the same function names. In trying to
 meet this goal, sometimes, function names are not descriptive enough and may
 confuse the potential users. The purpose of this package is to serve as a
 package function short form generator and also provide shorthand names for
 other functions. Having this package will entice authors to create long
 function names without the fear of users not wanting to use their packages
 because of the long names. In a way, everyone wins - the authors can use
 long descriptive function names, and the users can use this package to make
 short functions names while still using the package in question.

Package: r-cran-r2social
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 631
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-quickcode
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r2social_1.2.1-1.ca2004.1_all.deb
Size: 395440
MD5sum: c631f792ed5347571f991adf770f9dac
SHA1: e4c770c395c6162510ead6acfa48d07a0451e584
SHA256: 0d7bfcef6c5905f4e4b13f570deabf2c83ef87b0f39c293a9ddee5cc947928ec
SHA512: 27f02661fb893f23f7ddc838987e9f35b3b47230b11054b444b6fe81a4327cbb8bfd75530c98bb5ca8a42c6c7b8a778632cea57c6b4d7b42390988c6935d82a7
Homepage: https://cran.r-project.org/package=r2social
Description: CRAN Package 'r2social' (Seamless Integration of Sharing and Connect Buttons in Markdownand Apps)
 Implementation of 'JQuery' <https://jquery.com> and 'CSS' styles to allow
 easy incorporation of various social media elements on a page. The elements
 include addition of share buttons or connect with us buttons or hyperlink
 buttons to 'Shiny' applications or dashboards and 'Rmarkdown'
 documents.Sharing capability on social media platforms including 'Facebook'
 <https://www.facebook.com>, 'Linkedin' <https://www.linkedin.com>,
 'X/Twitter' <https://x.com>, 'Tumblr' <https://www.tumblr.com>, 'Pinterest'
 <https://www.pinterest.com>, 'Whatsapp' <https://www.whatsapp.com>, 'Reddit'
 <https://www.reddit.com>, 'Baidu' <https://www.baidu.com>, 'Blogger'
 <https://www.blogger.com>, 'Weibo' <https://www.weibo.com>, 'Instagram'
 <https://www.instagram.com>, 'Telegram' <https://www.telegram.me>, 'Youtube'
 <https://www.youtube.com>.

Package: r-cran-r2spss
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-car
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r2spss_0.3.2-1.ca2004.1_all.deb
Size: 656956
MD5sum: 8dd739451302ed9441eb94ae2738a79c
SHA1: e5f498789a9825db282250fd098ea3013fca84bc
SHA256: 4e9e70ad06525756670008f73d6279ee99efb4f3de5a9d9d93028443d72a5b91
SHA512: 59b63102411775cbd19288326b3e3fe025455d8b9ad9594919eec7368a0a8a332b4cf4737346466826cdd132530db130f5f81b2707cf27de90180dc3db98e61f
Homepage: https://cran.r-project.org/package=r2spss
Description: CRAN Package 'r2spss' (Format R Output to Look Like SPSS)
 Create plots and LaTeX tables that look like SPSS output for use in teaching
 materials.  Rather than copying-and-pasting SPSS output into documents, R
 code that mocks up SPSS output can be integrated directly into dynamic LaTeX
 documents with tools such as knitr.  Functionality includes statistical
 techniques that are typically covered in introductory statistics classes:
 descriptive statistics, common hypothesis tests, ANOVA, and linear
 regression, as well as box plots, histograms, scatter plots, and line plots
 (including profile plots).

Package: r-cran-r2stl
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-r2stl_1.0.3-1.ca2004.1_all.deb
Size: 19512
MD5sum: 8e721e86564c0f427b87c3afb59f8f1d
SHA1: 1e200f75be3ff05160f00175d8aaa0d7e2875893
SHA256: 53ef58412e9945d3eaf3bac15fc85070743178068f701fdd56715ed8ec4e7799
SHA512: 3df1390388332d0e25cdbdf8393a149ec6139cedc9677b449229f012e8fe5cfa9a1a62b56d2c6c55818ff776bd7f5bf1cd053e9a04de32930c106cfade8775ff
Homepage: https://cran.r-project.org/package=r2stl
Description: CRAN Package 'r2stl' (Visualizing Data using a 3D Printer)
 Converts data to STL (stereolithography) files that can be used to feed a
 3-dimensional printer.  The 3-dimensional output from a function can be
 materialized into a solid surface in a plastic material, therefore allowing
 more detailed examination. There are many possible uses for this new tool,
 such as to examine mathematical expressions with very irregular shapes, to
 aid teaching people with impaired vision, to create raised relief maps from
 digital elevation maps (DEMs), to bridge the gap between mathematical tools
 and rapid prototyping, and many more.  Ian Walker created the function
 r2stl() and Jose' Gama assembled the package.

Package: r-cran-r2symbols
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-r2symbols_1.4-1.ca2004.1_all.deb
Size: 114116
MD5sum: 7114c9a69f424d8c9a1433925859e5c8
SHA1: becd208eebba0c69b44c723e7b44b497780fc7fc
SHA256: 84358f31b2c11b6d6c658773a07e253de80efd92890649af934c1fc08eec4e3a
SHA512: 8894d5d33b1a00e88c9aa4fba50306026c37567474fc84ae69673015b6e20992ed892c8d455d3e4a294ae40199931c3ce0a1cae426c36f3f77bf3de3a0b300f5
Homepage: https://cran.r-project.org/package=r2symbols
Description: CRAN Package 'r2symbols' (Symbols for 'Markdown' and 'Shiny' Application)
 Direct insertion of over 1000 symbols (e.g. currencies, letters, emojis,
 arrows, mathematical symbols and so on) into 'Rmarkdown' documents and
 'Shiny' applications by incorporating 'HTML' hex codes.

Package: r-cran-r2ucare
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-rmark
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r2ucare_1.0.2-1.ca2004.1_all.deb
Size: 275456
MD5sum: 1f71764dad7af2f51d0148c032ee39f1
SHA1: 45d587de70c33e0d74020a1d3a47201fc17b8fc5
SHA256: dee18d19b55b048f9c954b10eb96afc1e22f66fc6306f90bf53be560d20f8dca
SHA512: 1306bc85152138ac3e17bdc833cd6824cd14494d10e06ea4f08b06386d27ad01795ebbeb91f15f12635a782192b9586ec62e1f4e7ca4bd61eee59064aa03c879
Homepage: https://cran.r-project.org/package=R2ucare
Description: CRAN Package 'R2ucare' (Goodness-of-Fit Tests for Capture-Recapture Models)
 Performs goodness-of-fit tests for capture-recapture models as described by
 Gimenez et al. (2018) <doi:10.1111/2041-210X.13014>.  Also contains several
 functions to process capture-recapture data.

Package: r-cran-r2winbugs
Architecture: all
Version: 2.1-22.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coda, r-cran-boot
Suggests: r-cran-brugs
Filename: pool/dists/focal/main/r-cran-r2winbugs_2.1-22.1-1.ca2004.1_all.deb
Size: 977732
MD5sum: 3a849ae4cf70385c78afafe4177d16b1
SHA1: 39f8e8380b04e0954961526d5680bd8b33eddccd
SHA256: abf41cf35555b94ee225a67a77e4499577a79dae6c7c7c0dfbc6cb6d494d1ad0
SHA512: b01069129354ddb55d598bdac4ed464564601e4f71c9d684bc63ed92e98108c727ad1c5ff6fd64b0f97ab3b7fe1be79b83366c4dcb7f4ce262ae6ae21568bbd5
Homepage: https://cran.r-project.org/package=R2WinBUGS
Description: CRAN Package 'R2WinBUGS' (Running 'WinBUGS' and 'OpenBUGS' from 'R' / 'S-PLUS')
 Invoke a 'BUGS' model in 'OpenBUGS' or 'WinBUGS', a class "bugs" for 'BUGS'
 results and functions to work with that class.  Function write.model()
 allows a 'BUGS' model file to be written.  The class and auxiliary functions
 could be used with other MCMC programs, including 'JAGS'.

Package: r-cran-r311
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tibble, r-cran-xml2, r-cran-xmlconvert
Filename: pool/dists/focal/main/r-cran-r311_0.4.3-1.ca2004.1_all.deb
Size: 127956
MD5sum: 9346a95ed804d8fbeb9fa79b56be007b
SHA1: b0214a39b96fc651b410cfacf584c449cf0c0b57
SHA256: ed602117ab372321c8c317eb0a329bf88a4f11668ba9abc9365a064c38be716c
SHA512: 7731ab554aede9d85d6633431d3ba87d79ed4e1a74b6e4ef180d12080c48735cb0153b0b44535f1d1e213d3c8c2fbd4e2f34782ae7e27b37e8a4a4c29323d9e3
Homepage: https://cran.r-project.org/package=r311
Description: CRAN Package 'r311' (Interface to the 'open311' Standard)
 Access and handle APIs that use the international 'open311' 'GeoReport v2'
 standard for civic issue tracking <https://wiki.open311.org/GeoReport_v2/>.
 Retrieve civic service types and request data. Select and add available
 'open311' endpoints and jurisdictions. Implicitly supports custom queries
 and 'open311' extensions.  Requires a minimal number of hard dependencies
 while still allowing the integration in common R formats ('xml2', 'tibble',
 'sf').

Package: r-cran-r330
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-s20x, r-cran-leaps, r-cran-rgl, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-r330_1.0-1.ca2004.1_all.deb
Size: 240068
MD5sum: d932233c3269db1182174666b43f8633
SHA1: 52f78937198c720903a22f82bd570eb84a39ec6d
SHA256: 435d2f94b259126ce5dae99f96694f6e989a4163c83daab37fecb11ba4756f37
SHA512: 870a1839cf146c63d640697aa6e2e94ddba0d389a353ea507625ce91c8cd7d486ac0b9e05a487bb176dab214c1773f21cfcc720718a14fd5025f1698ae881a87
Homepage: https://cran.r-project.org/package=R330
Description: CRAN Package 'R330' (An R package for Stats 330)
 This is a collection of useful functions and data for Stats 330

Package: r-cran-r3dmol
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11750
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr, r-cran-bio3d
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-colourpicker, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r3dmol_0.1.2-1.ca2004.1_all.deb
Size: 1665412
MD5sum: c8a5f72c1813cf2b2d67d6a807743c4b
SHA1: 478346a2b7d45188d33002a383c683fcdd6f5735
SHA256: cba6aa9c4b075287fe5566206710376d63e44a67034426e4cb2daa40a6f525e3
SHA512: bc6a620ca8d9eddf75673593c743164fa6be5e6864bea09fd5cb359c21070dffe796f7c0510df08cadec4c096a8b188062bb7949290de9887fbf8bd363efe33e
Homepage: https://cran.r-project.org/package=r3dmol
Description: CRAN Package 'r3dmol' (Create Interactive 3D Visualizations of Molecular Data)
 Create rich and fully interactive 3D visualizations of molecular data.
 Visualizations can be included in Shiny apps and R markdown documents, or
 viewed from the R console and 'RStudio' Viewer. 'r3dmol' includes an
 extensive API to manipulate the visualization after creation, and supports
 getting data out of the visualization into R. Based on the '3dmol.js' and
 the 'htmlwidgets' R package.

Package: r-cran-r3js
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7277
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jsonlite, r-cran-ellipsis, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-colorspace, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r3js_0.0.2-1.ca2004.1_all.deb
Size: 484932
MD5sum: 2105b1679a1d7ea76a2a82abd053e029
SHA1: d19ae983d8558ef2ed0d0530e3b67a6fc669844b
SHA256: cf73d71cb90fa0ab7c89040d5a44f89baebdf5c4885ff9778ef44d39903dfb7a
SHA512: 7ad20008ca81edc9cdc1f663eae4b50477b9412afdf09a06f6291aa9ca968138b3083ef88b3908f78554f56f4b718b0d5cbe22b7ee03437245c5c9dda72a4255
Homepage: https://cran.r-project.org/package=r3js
Description: CRAN Package 'r3js' ('WebGL'-Based 3D Plotting using the 'three.js' Library)
 Provides R and 'JavaScript' functions to allow 'WebGL'-based 3D plotting
 using the 'three.js' 'JavaScript' library. Interactivity through roll-over
 highlighting and toggle buttons is also supported.

Package: r-cran-r3port
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plyr, r-cran-reshape2, r-cran-whisker, r-cran-tinytex
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-r3port_0.3.1-1.ca2004.1_all.deb
Size: 142676
MD5sum: 4e1c00e625424492b03cc340f3d12262
SHA1: 79ca0129e641ddab1d6f4b9fa17880c746b7f5ca
SHA256: 6d7bcb483901f181a2b68182cd6988ce6eef29fa3f707bd89c2e9cf91aa06082
SHA512: a7bd9c2e427110a1480e5eb487be43e54cb1bc687556dc6910144a776609b0a536ac18abf6b69f2d67472deb264bf4b3cbd79e284e3a23608dce8c6ad2ad29be
Homepage: https://cran.r-project.org/package=R3port
Description: CRAN Package 'R3port' (Report Functions to Create HTML and PDF Files)
 Create and combine HTML and PDF reports from within R.  Possibility to
 design tables and listings for reporting and also include R plots.

Package: r-cran-r4couchdb
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops, r-cran-rcurl, r-cran-rjsonio
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r4couchdb_0.7.5-1.ca2004.1_all.deb
Size: 75416
MD5sum: 48410af3b6638ef9e6c736f8a8df320f
SHA1: cecbcf786100cf503716d335ae02151ab3b15391
SHA256: cfea64d936bb73e5f870313ecb8ffa68a4ff110bcd4ba6d3108da1c657e648ee
SHA512: 02cf4552ee1c445a807f9432175b650e367d43b3c92e4286c00987ca65174c64e64c6c0ec56d9f9112ecd7ad7b2fc3b821bd27be29df1b910313da16ce73085c
Homepage: https://cran.r-project.org/package=R4CouchDB
Description: CRAN Package 'R4CouchDB' (A R Convenience Layer for CouchDB 2.0)
 Provides a collection of functions for basic database and document
 management operations such as add, get, list access or delete. Every
 cdbFunction() gets and returns a list() containing the connection setup.
 Such a list can be generated by cdbIni().

Package: r-cran-r4ds.tutorials
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tutorial.helpers
Suggests: r-cran-arrow, r-cran-babynames, r-cran-dbplyr, r-cran-dplyr, r-cran-duckdb, r-cran-gert, r-cran-gitcreds, r-cran-gghighlight, r-cran-ggrepel, r-cran-ggridges, r-cran-ggthemes, r-cran-gt, r-cran-hexbin, r-cran-janitor, r-cran-learnr, r-cran-maps, r-cran-nycflights13, r-cran-palmerpenguins, r-cran-patchwork, r-cran-quarto, r-cran-readxl, r-cran-reprex, r-cran-repurrrsive, r-cran-rsconnect, r-cran-rvest, r-cran-testthat, r-cran-tidymodels, r-cran-tidyverse, r-cran-usethis, r-cran-writexl, r-cran-lahman
Filename: pool/dists/focal/main/r-cran-r4ds.tutorials_0.3.2-1.ca2004.1_all.deb
Size: 2116372
MD5sum: bcc87b2d6e2e573d7194bba28f9b1cea
SHA1: 0c262d171b88acf5df11f7cb52dbe8ca33f784cf
SHA256: 67d9a34db57464f7f61f373ce7f24708d854d796bd7df2525dbbe7e8c8bd49d4
SHA512: 9a82aad481322f48843110cb87929bb9b6ab7365fae96e0acd151efce52af8f04d8dcf47a6b579e323bff49f464d1972b30312586348a49b422422f9d13c4f5c
Homepage: https://cran.r-project.org/package=r4ds.tutorials
Description: CRAN Package 'r4ds.tutorials' (Tutorials for "R for Data Science")
 When assigned "R for Data Science" (Wickham, Çetinkaya-Rundel, and Grolemund
 (2023, ISBN: 1492097402)), students should read the book and type in all the
 associated R commands themselves. Sadly, that never happens.  These
 tutorials allow students to demonstrate (and their instructors to be sure)
 that all work has been completed. See Kane (2023)
 <https://ppbds.github.io/tutorial.helpers/articles/instructions.html> from
 the 'tutorial.helpers' package for a background discussion.

Package: r-cran-r4goodpersonalfinances
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1818
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bsicons, r-cran-bslib, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggtext, r-cran-glue, r-cran-prettycols, r-cran-scales, r-cran-shiny, r-cran-tidyr, r-cran-readr, r-cran-fs, r-cran-purrr, r-cran-stringr, r-cran-nloptr, r-cran-cli, r-cran-furrr, r-cran-future, r-cran-progressr, r-cran-lubridate, r-cran-memoise, r-cran-cachem, r-cran-rlang
Suggests: r-cran-spelling, r-cran-tibble, r-cran-withr, r-cran-microbenchmark, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-r4goodpersonalfinances_1.0.0-1.ca2004.1_all.deb
Size: 1787884
MD5sum: a4385ba9208ad3e74510f6ac2bbac3ac
SHA1: 4a785496967c4b3ea2285ed724f209c9c45711df
SHA256: 37a990d7d0718daf707c2a1e9b37771a56e256ce8867e3d72a0d04c95ef67ce3
SHA512: de3b2930e951113fe41e818eda89a55c20f892a97099aa6111fb9398887a832ac21984b3a43680683e5313c46960267a5ed73688866e343a3bb3254f64b7b7b2
Homepage: https://cran.r-project.org/package=R4GoodPersonalFinances
Description: CRAN Package 'R4GoodPersonalFinances' (Make Optimal Financial Decisions)
 Make optimal decisions for your personal or household finances. Use tools
 and methods that are selected carefully to align with academic consensus,
 bridging the gap between theoretical knowledge and practical application.
 They help you find your own personalized optimal discretionary spending or
 optimal asset allocation, and prepare you for retirement or financial
 independence.  The optimal solution to this problems is extremely complex,
 and we only have a single lifetime to get it right.  Fortunately, we now
 have the user-friendly tools implemented, that integrate life-cycle models
 with single-period net-worth mean-variance optimization models.  Those tools
 can be used by anyone who wants to see what highly-personalized optimal
 decisions can look like.  For more details see: Idzorek T., Kaplan P. (2024,
 ISBN:9781952927379), Haghani V., White J. (2023, ISBN:9781119747918).

Package: r-cran-r4googleads
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-r4googleads_0.1.1-1.ca2004.1_all.deb
Size: 51992
MD5sum: 26777ce06136f2a6c0b17054c723a71e
SHA1: 4bb84ffdd78833199fce10bcfc8457f00906ab15
SHA256: 4989ac208f98c1772045cbb962520b2b1388b4371fa6bd8bf40254f6b8392f2e
SHA512: a9e925d9e504f3c6224299214ac8f176ba14f17266605c373a0c7f5c5f184cdfbdd1e314bbda8c5fe59ab77a4c88247dc8cfba43b6e22facb25d0e598c331f56
Homepage: https://cran.r-project.org/package=r4googleads
Description: CRAN Package 'r4googleads' ('Google Ads API' Interface)
 Interface for the 'Google Ads API'. 'Google Ads' is an online advertising
 service that enables advertisers to display advertising to web users (see
 <https://developers.google.com/google-ads/> for more information).

Package: r-cran-r4hcr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-irr, r-cran-mada, r-cran-meta, r-cran-metafor, r-cran-survival
Filename: pool/dists/focal/main/r-cran-r4hcr_0.1-1.ca2004.1_all.deb
Size: 328128
MD5sum: 396af5a9fe0b2fa1e2f375002e2c2a36
SHA1: 47b6f6507d7f724f3fd219d79daf1c2815dccd9c
SHA256: d96185f672789499f1d32c0f3678386952d9f16e9e67164ced617dd6feb38047
SHA512: d10abc050c27b571e23d7e63f1475c7ac3c8f207bb3af4926b433a1bdcb508c9defacb56b920e5c9644213b854c89971c041599de2e55f25b344b3a1eb70ea83
Homepage: https://cran.r-project.org/package=R4HCR
Description: CRAN Package 'R4HCR' (R for Health Care Research)
 A collection of datasets that accompany the forthcoming book "R for Health
 Care Research".

Package: r-cran-r4lineups
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 749
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-here, r-cran-magick, r-cran-magrittr, r-cran-proc, r-cran-psych, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pander
Filename: pool/dists/focal/main/r-cran-r4lineups_0.1.1-1.ca2004.1_all.deb
Size: 525916
MD5sum: 8613b87e4d75b7b69a5c0fc4a6411ce8
SHA1: 479c98db3bf0a834d108bb30d8f70fefd017d16a
SHA256: e2e6a76576737f373106a7fd79d004d9fc90c18d534d6199b90bf507dddae3c3
SHA512: 6091a9a6f96a2a54edb188b26f54be41c3cfc0d63d79cbd300c9d4a5a31621bd8ff5edb8b6bf1efa909780f58b1befe36273496b071b34b7d9fbc1227c243761
Homepage: https://cran.r-project.org/package=r4lineups
Description: CRAN Package 'r4lineups' (Statistical Inference on Lineup Fairness)
 Since the early 1970s eyewitness testimony researchers have recognised the
 importance of estimating properties such as lineup bias (is the lineup
 biased against the suspect, leading to a rate of choosing higher than one
 would expect by chance?), and lineup size (how many reasonable choices are
 in fact available to the witness?  A lineup is supposed to consist of a
 suspect and a number of additional members, or foils, whom a poor-quality
 witness might mistake for the perpetrator). Lineup measures are descriptive,
 in the first instance, but since the earliest articles in the literature
 researchers have recognised the importance of reasoning inferentially about
 them. This package contains functions to compute various properties of
 laboratory or police lineups, and is intended for use by researchers in
 forensic psychology and/or eyewitness testimony research. Among others, the
 r4lineups package includes functions for calculating lineup proportion,
 functional size, various estimates of effective size, diagnosticity ratio,
 homogeneity of the diagnosticity ratio, ROC curves for confidence x accuracy
 data and the degree of similarity of faces in a lineup.

Package: r-cran-r4ss
Architecture: all
Version: 1.44.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2175
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-coda, r-cran-corpcor, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-lifecycle, r-cran-stringr, r-cran-kableextra
Suggests: r-cran-gtools, r-cran-gplots, r-cran-knitr, r-cran-maps, r-cran-pso, r-cran-testthat, r-cran-truncnorm, r-cran-rmarkdown, r-cran-shiny, r-cran-flextable, r-cran-reshape2, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-r4ss_1.44.0-1.ca2004.1_all.deb
Size: 2102732
MD5sum: 3643134729b7091b0397a1568c7b3918
SHA1: 6283ec32e0387898ee1c741d16ee00691681a311
SHA256: 84d933ad22d40da02bebd6cd40642a8b863431e4211581c425571113cd1317e9
SHA512: 1ec0f7df8909ad4d284ae12f3d24549b1d0083d2feed63032750b38f9a17e5ce15e261919c049b093956ba945150c1d9d16a6869085f138580571c9f8d6efc11
Homepage: https://cran.r-project.org/package=r4ss
Description: CRAN Package 'r4ss' (R Code for Stock Synthesis)
 A collection of R functions for use with Stock Synthesis, a fisheries stock
 assessment modeling platform written in ADMB by Dr. Richard D. Methot at the
 NOAA Northwest Fisheries Science Center. The functions include tools for
 summarizing and plotting results, manipulating files, visualizing model
 parameterizations, and various other common stock assessment tasks.  This
 version of '{r4ss}' is compatible with Stock Synthesis versions 3.24 through
 3.30 (specifically version 3.30.19.01, from April 2022).

Package: r-cran-r511
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-httr, r-cran-xml2, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r511_0.1.1-1.ca2004.1_all.deb
Size: 18824
MD5sum: eb7b1c90a22008b81c4aa7bede850961
SHA1: 620a6ab94d5f2a9d75c172ba64ac3dde4a1a9d6a
SHA256: e7555e041594948a8137c5ecf8ed8228bc52813bee4da2c5b331d81303c38a03
SHA512: f95ee9f1b43da7a240946cbc50ba9c1420483126a4f7bfd606a4dd29ba9aece1bce5ea069169bd66afda8f419d50215dc6f24911658a459acf9f3afaaf2e19b4
Homepage: https://cran.r-project.org/package=r511
Description: CRAN Package 'r511' (Work with the Bay Area Transportation Commission ApplicationProgramming Interface)
 For the 9 counties in the San Francisco Bay area the Metropolitan
 Transportation Commission maintains an Application Programming Interface
 with information on more than 20 transit operators.  This package allows
 users to retrieve information about transit schedules in the General Transit
 Feed Specification as published by the Metropolitan Transportation
 Commission at the following url: <https://511.org/developers/list/apis/>.

Package: r-cran-r5r
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3792
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-concaveman, r-cran-data.table, r-cran-jsonlite, r-cran-rjava, r-cran-rlang, r-cran-sf, r-cran-sfheaders, r-cran-zip
Suggests: r-cran-accessibility, r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-gtfstools, r-cran-h3jsr, r-cran-interp, r-cran-knitr, r-cran-patchwork, r-cran-rjavaenv, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r5r_2.2.0-1.ca2004.1_all.deb
Size: 2975712
MD5sum: ecc14e6ca68aeb301043298cfe46969b
SHA1: 2da78a108e330f7f81c53fe5be6f709365386c39
SHA256: 2076637e6935ae4163cdd71f0c060b8560dc83712942726ed5744ab3b94d5b0d
SHA512: b28999659a8ae9c7edaddccc4bac0d86450f0cbf8adecb2940e5829937d1d52e3485eab34770b8cbb71c09c0374bceab7ffd148d2edb9a6557bdc18faf883c6b
Homepage: https://cran.r-project.org/package=r5r
Description: CRAN Package 'r5r' (Rapid Realistic Routing with 'R5')
 Rapid realistic routing on multimodal transport networks (walk, bike, public
 transport and car) using 'R5', the Rapid Realistic Routing on Real-world and
 Reimagined networks engine <https://github.com/conveyal/r5>. The package
 allows users to generate detailed routing analysis or calculate travel time
 and monetary cost matrices using seamless parallel computing on top of the
 R5 Java machine.  While R5 is developed by Conveyal, the package r5r is
 independently developed by a team at the Institute for Applied Economic
 Research (Ipea) with contributions from collaborators. Apart from the
 documentation in this package, users will find additional information on R5
 documentation at <https://docs.conveyal.com/>. Although we try to keep new
 releases of r5r in synchrony with R5, the development of R5 follows
 Conveyal's independent update process. Hence, users should confirm the R5
 version implied by the Conveyal user manual (see
 <https://docs.conveyal.com/changelog>) corresponds with the R5 version that
 r5r depends on. This version of r5r depends on R5 v7.1.

Package: r-cran-r62s3
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-pkgdown, r-cran-testthat, r-cran-r6
Filename: pool/dists/focal/main/r-cran-r62s3_1.4.1-1.ca2004.1_all.deb
Size: 87640
MD5sum: b8c50c5a7a55605b13e2ae6af03806c9
SHA1: 322d9bdfdc2787b999babecf27998c381c5d87dc
SHA256: 00333ff9855aee877f94f32a6313c2d8b1c3bcab32fff0822ba76d7f3e50af82
SHA512: bdffeb793dabd4d29cec93518f125fcec626501b4de2e0d303203bf221ab23e48a9ce531392674724d87c94cb18598b84e7a19f19b92de5718c71369e0cf7c84
Homepage: https://cran.r-project.org/package=R62S3
Description: CRAN Package 'R62S3' (Automatic Method Generation from R6)
 After defining an R6 class, R62S3 is used to automatically generate optional
 S3/S4 generics and methods for dispatch. Also allows piping for R6 objects.

Package: r-cran-r6
Architecture: all
Version: 2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-lobstr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r6_2.6.1-1.ca2004.1_all.deb
Size: 85780
MD5sum: dc6afdc7f749692b7f8e04e7530c85a9
SHA1: 99d340d5e0bef4fbd1634600e7de27ac13477db6
SHA256: bd8a82fe646727eafcfbe7cb99e19ea0a6b1cc29058b0ec8719e812db7d8e6a4
SHA512: 40126a578f89139f009914871696d38bd93793b9a1e747cc4236a88534d3ec620724dde29ab29c06fe69f41912d1dd28e0f2c93e03b929ee532d90a2b2845c67
Homepage: https://cran.r-project.org/package=R6
Description: CRAN Package 'R6' (Encapsulated Classes with Reference Semantics)
 Creates classes with reference semantics, similar to R's built-in reference
 classes. Compared to reference classes, R6 classes are simpler and
 lighter-weight, and they are not built on S4 classes so they do not require
 the methods package. These classes allow public and private members, and
 they support inheritance, even when the classes are defined in different
 packages.

Package: r-cran-r6causal
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 880
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-causaleffect, r-cran-cfid, r-cran-data.table, r-cran-dosearch, r-cran-glue, r-cran-igraph, r-cran-r6, r-cran-mass
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qgraph, r-cran-sqldf
Filename: pool/dists/focal/main/r-cran-r6causal_0.8.3-1.ca2004.1_all.deb
Size: 757120
MD5sum: 492babd8b1dd630010d1e27949c6326b
SHA1: 7f9071ff9af10819d02d7400fcb6786a1de08171
SHA256: a7443d18dc40b2206ba64ffb8fc7b37047690e2d249fd9927e7195a9cdfe6ced
SHA512: 1939a151200320278434314e9da140a01ea5f8b1a8a7771a989b60bcfa9cccc16df34af4e342b8062936ed7e1d3c6fdb75052a5bff343a4da3bea3535d53434a
Homepage: https://cran.r-project.org/package=R6causal
Description: CRAN Package 'R6causal' (R6 Class for Structural Causal Models)
 The implemented R6 class 'SCM' aims to simplify working with structural
 causal models. The missing data mechanism can be defined as a part of the
 structural model. The class contains methods for 1) defining a structural
 causal model via functions, text or conditional probability tables, 2)
 printing basic information on the model, 3) plotting the graph for the model
 using packages 'igraph' or 'qgraph', 4) simulating data from the model, 5)
 applying an intervention, 6) checking the identifiability of a query using
 the R packages 'causaleffect' and 'dosearch', 7) defining the missing data
 mechanism, 8) simulating incomplete data from the model according to the
 specified missing data mechanism and 9) checking the identifiability in a
 missing data problem using the R package 'dosearch'. In addition, there are
 functions for running experiments and doing counterfactual inference using
 simulation.

Package: r-cran-r6ds
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-r6ds_1.2.0-1.ca2004.1_all.deb
Size: 272392
MD5sum: 415f2c6d8de3870758e143412dbe4335
SHA1: f7ad74a748e9ec0fc8dc1856b8a32b60aafeb354
SHA256: af6c587436881a9ce80f2de7d5872b11acb2f69fbc0233393c16136dd15eaa4f
SHA512: 75b7f950ed1df3280f34bc1c899e0bab49f7f67febba457f3f8040c0c75e31dd960ff6b1c2e210721782c12327abdad5d087fe172113226db9954e28c6cc5542
Homepage: https://cran.r-project.org/package=R6DS
Description: CRAN Package 'R6DS' (R6 Reference Class Based Data Structures)
 Provides reference classes implementing some useful data structures.  The
 package implements these data structures by using the reference class R6.
 Therefore, the classes of the data structures are also reference classes
 which means that their instances are passed by reference.  The implemented
 data structures include stack, queue, double-ended queue, doubly linked
 list, set, dictionary and binary search tree.  See for example
 <https://en.wikipedia.org/wiki/Data_structure> for more information about
 the data structures.

Package: r-cran-r6extended
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-magrittr, r-cran-digest, r-cran-hellno
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-r6extended_0.1.2-1.ca2004.1_all.deb
Size: 48712
MD5sum: 4ab154b20f70dfa0e06662756f574c37
SHA1: edcad6b32abb02e79d120e1e1f56c55f9731be40
SHA256: 080b3cba1f1a3446c0b37bb32d50562b622dc0164b98f9268e04fe63de306fa7
SHA512: 803f2edf5c7a24443665e4a6f9f54b50d042b3aee8202a49124af0a0a84f76f5ddf46951a763532f43b4bbc3893cab31eb26b292d5dd70d512436f73f992023b
Homepage: https://cran.r-project.org/package=r6extended
Description: CRAN Package 'r6extended' (Extension for 'R6' Base Class)
 Useful methods and data fields to extend the bare bones 'R6' class provided
 by the 'R6' package - ls-method, hashes, warning- and message-method,
 general get-method and a debug-method that assigns self and private to the
 global environment.

Package: r-cran-r6methods
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-rstudioapi, r-cran-miniui, r-cran-shiny, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-r6, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-r6methods_0.1.0-1.ca2004.1_all.deb
Size: 45260
MD5sum: 31678cf917cb754c91c7711cf7459c9b
SHA1: d4291ed4af89ed0f15dc76b5a93fcac16aae2f64
SHA256: 932824643006d91bf2e1522893f82034b2fee637cdcc53acaaf317742c0dedf1
SHA512: e67d1474aa82668e24da19485b58f72e61e59048ac5e7e1639e342709f1b45665e06385c1b503933b20e706400b3177328ffff2a51c4ca69f3fc2b7e3754d2a9
Homepage: https://cran.r-project.org/package=r6methods
Description: CRAN Package 'r6methods' (Make Methods for R6 Classes)
 Generate boilerplate code for R6 classes. Given R6 class create getters
 and/or setters for selected class fields or use RStudio addins to insert
 methods straight into class definition.

Package: r-cran-r6p
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-collections, r-cran-dplyr, r-cran-stringr, r-cran-r6, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-dbi, r-cran-rsqlite, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-r6p_0.4.0-1.ca2004.1_all.deb
Size: 73148
MD5sum: ff5d87d7b5bdb84acdf462cf13b591d6
SHA1: d08f9a6c6a3f4e5c11e66e3a7e44d5c4cb2763bf
SHA256: 237cb34b1cc59b3a03c5c294cbafdf2cc82b3b9170b346782ba72da4ef72e236
SHA512: 5ffc1fae74ace4997c16bdaebb29b1ba3e965c8dc9f293896a6f96337f9659c29cbd23a3e9c066fec780ebec2e41737e7cb49c3014087b7492ff0184847de3ef
Homepage: https://cran.r-project.org/package=R6P
Description: CRAN Package 'R6P' (Design Patterns in R)
 Build robust and maintainable software with object-oriented design patterns
 in R. Design patterns abstract and present in neat, well-defined components
 and interfaces the experience of many software designers and architects over
 many years of solving similar problems. These are solutions that have
 withstood the test of time with respect to re-usability, flexibility, and
 maintainability. 'R6P' provides abstract base classes with examples for a
 few known design patterns. The patterns were selected by their applicability
 to analytic projects in R. Using these patterns in R projects have proven
 effective in dealing with the complexity that data-driven applications
 possess.

Package: r-cran-r6qualitytools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-envstats, r-cran-ggplot2, r-cran-gridextra, r-cran-mass, r-cran-patchwork, r-cran-plotly, r-cran-r6, r-cran-rcolorbrewer, r-cran-rsolnp, r-cran-scales, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-r6qualitytools_1.0.1-1.ca2004.1_all.deb
Size: 1417692
MD5sum: 5be3ebba517d990f9edee8a6b46b24b4
SHA1: 9cc4c150bcca1744c007ff23a1077530ac782d76
SHA256: 54ca67f2aaba3af0befa5fb962914fa876e56a4471f427cac7a2963c40bf1bf6
SHA512: 6fc500c2afa944caacead6c2ff68ea52c98cc8ea3cefbfe453308719cb728a47e4f781ac10dc5af37dc54aee0e56a0e0daa30d880402fac68296fccfa6e75a82
Homepage: https://cran.r-project.org/package=r6qualitytools
Description: CRAN Package 'r6qualitytools' (R6-Based Statistical Methods for Quality Science)
 A comprehensive suite of statistical tools for Quality Management, designed
 around the Define, Measure, Analyze, Improve, and Control (DMAIC) cycle used
 in Six Sigma methodology. Based on the discontinued CRAN package
 'qualitytools', this package refactors its original design by incorporating
 'R6' object-oriented programming for increased flexibility and performance.
 It replaces traditional graphics with modern, interactive visualizations
 using 'ggplot2' and 'plotly'. Built on 'tidyverse' principles, it simplifies
 data manipulation and visualization, offering an intuitive approach to
 quality science.

Package: r-cran-ra4bayesmeta
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bayesmeta
Filename: pool/dists/focal/main/r-cran-ra4bayesmeta_1.0-8-1.ca2004.1_all.deb
Size: 209360
MD5sum: fae387abc3fe9b0247d369b3040f1bce
SHA1: f356764125a7859c88a8c494c7f924bd76a4474b
SHA256: 6449d0d110255315bf3833ed003f0e41a6e0b3f35a0f8665e0e73aae324deffe
SHA512: 42da27e58420bc8c3e704b05ac764be2f71d0fd5e5d7d218add21de6ddfe659a1745fb9049e893bf35c1859acf70da7f6946027f794734e3e8a5f6e3d84a35b7
Homepage: https://cran.r-project.org/package=ra4bayesmeta
Description: CRAN Package 'ra4bayesmeta' (Reference Analysis for Bayesian Meta-Analysis)
 Functionality for performing a principled reference analysis in the Bayesian
 normal-normal hierarchical model used for Bayesian meta-analysis, as
 described in Ott, Plummer and Roos (2021) <doi:10.1002/sim.9076>. Computes a
 reference posterior, induced by a minimally informative improper reference
 prior for the between-study (heterogeneity) standard deviation. Determines
 additional proper anti-conservative (and conservative) prior benchmarks.
 Includes functions for reference analyses at both the posterior and the
 prior level, which, given the data, quantify the informativeness of a
 heterogeneity prior of interest relative to the minimally informative
 reference prior and the proper prior benchmarks. The functions operate on
 data sets which are compatible with the 'bayesmeta' package.

Package: r-cran-rabhit
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1828
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-reshape2, r-cran-plotly, r-cran-gtools, r-cran-cowplot, r-cran-readr, r-cran-dendextend, r-cran-data.table, r-cran-plyr, r-cran-ggdendro, r-cran-gridextra, r-cran-alakazam, r-cran-tigger, r-cran-htmlwidgets, r-cran-gtable, r-cran-rlang, r-cran-rcolorbrewer, r-cran-tidyr, r-cran-stringi, r-cran-splitstackshape, r-cran-fastmatch
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rabhit_0.2.5-1.ca2004.1_all.deb
Size: 1635100
MD5sum: 6d34e95d24f9952acb8b666cf44724b3
SHA1: 543e1cafee4748fa3e91e2aed4b3944de506e980
SHA256: de96074eae9aa5f19f6f4782380eeca9313333cd81a9bb41d9f35e52e479dba1
SHA512: 74d7a0e4b4dcea748ef083ad0a33f8653ce9c8f82ec92bed1818cfa75dcd2b098958c048aa4248dea9256ec9eb7477b07ea26c6a2b07bb68b88ce8895f426316
Homepage: https://cran.r-project.org/package=rabhit
Description: CRAN Package 'rabhit' (Inference Tool for Antibody Haplotype)
 Infers V-D-J haplotypes and gene deletions from AIRR-seq data for Ig and TR
 chains, based on J, D, or V genes as anchor, by adapting a Bayesian
 framework.  It also calculates a Bayes factor, a number that indicates the
 certainty level of the inference, for each haplotyped gene.  Citation:
 Gidoni, et al (2019) <doi:10.1038/s41467-019-08489-3>.  Peres and Gidoni, et
 al (2019) <doi:10.1093/bioinformatics/btz481>.

Package: r-cran-rabi
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numbers, r-cran-polynom, r-cran-shiny, r-cran-stringdist
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rabi_1.0.2-1.ca2004.1_all.deb
Size: 65500
MD5sum: 3af8fd6dcf0aeb3ef2a08e2eb286e29b
SHA1: 4744cd3effeb26076dc58755f35eb2ed22756242
SHA256: f23f6f10d58020d4a09115690880c23cb20104858157a1c2ea8e0dd96473f306
SHA512: b58147df472c8b8980325bddc5333eeb945f3e1d2013736df07cf88fbb4fc3437159815757405f0fda0a0540d04d0127c66a4e2e8724bf1340257e24e7f374e1
Homepage: https://cran.r-project.org/package=rabi
Description: CRAN Package 'rabi' (Generate Codes to Uniquely and Robustly Identify Individuals forAnimal Behavior Studies)
 Facilitates the design and generation of optimal color (or symbol) codes
 that can be used to mark and identify individual animals. These codes are
 made such that the IDs are robust to partial erasure: even if sections of
 the code are lost, the entire identity of the animal can be reconstructed.
 Thus, animal subjects are not confused and no ambiguity is introduced.

Package: r-cran-rabr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-asd, r-cran-cubature, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-multcomp, r-cran-multxpert, r-cran-survival
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rabr_0.1.1-1.ca2004.1_all.deb
Size: 63880
MD5sum: 27d8c0e174c6bf9e0a9a87f4200b90ed
SHA1: 79809da8e2d9c920d2f0eb5cfa058e6181b3b0fa
SHA256: 40846c8d9a12a416b049a48127b92910eb9c44c5762f2808ce0c4d4dbb26b276
SHA512: d0b86e10b1445049ad760d79b1210b816d83cdad02dde8b62430bf3fffb59155cb473dc9a22cbe1a6cf0b8f8de2983b34dab2a52d457ba103b9637fd1fb1e8a8
Homepage: https://cran.r-project.org/package=RABR
Description: CRAN Package 'RABR' (Simulations for Response Adaptive Block Randomization Design)
 Conduct simulations of the Response Adaptive Block Randomization (RABR)
 design to evaluate its type I error rate, power and operating
 characteristics for binary and continuous endpoints. For more details of the
 proposed method, please refer to Zhan et al. (2021) <doi:10.1002/sim.9104>.

Package: r-cran-rac
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2785
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrixstats, r-cran-rstudioapi, r-cran-plotrix, r-cran-raster, r-cran-sp
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rac_1.5.5-1.ca2004.1_all.deb
Size: 992236
MD5sum: d5e1a429481c211023524904ed7b507b
SHA1: f8ce19127fe4be554b73e67d1f7c476175dc2666
SHA256: 066b820ea97f3832a0f2df43704e39e3a08f26c0864486a3019b08bdbc656fd4
SHA512: d97c3d6550c5bf376acbad100d74b4112f39ff6b3d227e7cba319a5aa494c63fc6444c3feb56195c9787755cb68e05f50c41ba1828d0e895205292da71b4b963
Homepage: https://cran.r-project.org/package=RAC
Description: CRAN Package 'RAC' (R Package for Aqua Culture)
 Solves the individual bioenergetic balance for different aquaculture sea
 fish (Sea Bream and Sea Bass; Brigolin et al., 2014 <doi:10.3354/aei00093>)
 and shellfish (Mussel and Clam; Brigolin et al., 2009
 <doi:10.1016/j.ecss.2009.01.029>; Solidoro et al., 2000
 <doi:10.3354/meps199137>). Allows for spatialized model runs and population
 simulations.

Package: r-cran-racademyocean
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-pbapply, r-cran-purrr, r-cran-rappdirs, r-cran-retry, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-racademyocean_0.3.3-1.ca2004.1_all.deb
Size: 122636
MD5sum: 8ecbe371f10b093520c8f2e13ee09438
SHA1: 676e04caa93e710c464693a736e17ea61393bfeb
SHA256: 4103805dd27a1262f2fff75b67042cc5509416984df75b15ceca628bdefddd15
SHA512: 50864b8cbdf569dca0d8d08d2ead3ee0b8ecb3e7623b6786a48a21689d52c11f8b2f7acc60f65c7c6169839add963e7bc966c1036f06f624af7a484f5328f0c8
Homepage: https://cran.r-project.org/package=racademyocean
Description: CRAN Package 'racademyocean' (Client for 'AcademyOcean API')
 Provide function for work with 'AcademyOcean API'
 <https://academyocean.com/api>.

Package: r-cran-racir
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-racir_2.0.0-1.ca2004.1_all.deb
Size: 183908
MD5sum: c62b4cccd872e00acba18febdaa03b37
SHA1: f9edb944cee1c841d0a43ac5b1ecaf65dc36b07e
SHA256: d10f54f272bdee947e6fccd61be424de48f0f08e618d6bc13f2898f5f750e817
SHA512: 9eaabcf5ba9adeeacf0b1345b8ada1d72c3b89a683c203d8487c2347c66117591e85a5d596df825228adf27a6c4a0a7e7c363026f00ece807f08f1e80c31c3d6
Homepage: https://cran.r-project.org/package=racir
Description: CRAN Package 'racir' (Rapid A/Ci Response (RACiR) Data Analysis)
 Contains functions useful for reading in Licor 6800 files, correcting and
 analyzing rapid A/Ci response (RACiR) data. Requires some user interaction
 to adjust the calibration (empty chamber) data file to a useable range.
 Calibration uses a 1st to 5th order polynomial as suggested in Stinziano et
 al. (2017) <doi:10.1111/pce.12911>.  Data can be processed individually or
 batch processed for all files paired with a given calibration file. RACiR is
 a trademark of LI-COR Biosciences, and used with permission.

Package: r-cran-ractivecampaign
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-pbapply, r-cran-stringr, r-cran-tidyr, r-cran-cli, r-cran-retry
Filename: pool/dists/focal/main/r-cran-ractivecampaign_0.2.0-1.ca2004.1_all.deb
Size: 133344
MD5sum: a02ce6f0fdeddf3287f113b7e83d179c
SHA1: 53b9f3bfafd8f5efa85af8bd506791606b56e3d0
SHA256: 4f1ba597c15ea06bdd1be0ed7f2d8c35333701ae46394a031c5ce0250905f2c3
SHA512: 8acdb4b4fc0fbf1120aa37ef2284d7847d1ce84866a0d05f3eb55974d3190e4cf4dcf52d2771cc319e765b56af7be13f11d6d76ede9c66a8a859de30482c6e1c
Homepage: https://cran.r-project.org/package=ractivecampaign
Description: CRAN Package 'ractivecampaign' (Loading Data from 'ActiveCampaign API v3')
 Interface for loading data from 'ActiveCampaign API v3'
 <https://developers.activecampaign.com/reference>. Provide functions for
 getting data by deals, contacts, accounts, campaigns and messages.

Package: r-cran-rada
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5744
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-ggplot2, r-cran-matrixstats, r-cran-reshape2, r-cran-lmertest, r-cran-e1071, r-cran-tidyr, r-cran-stringr, r-cran-dplyr, r-cran-hmisc, r-cran-gridextra, r-cran-forestplot, r-cran-knitr, r-cran-openxlsx, r-cran-car
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rada_1.1.9-1.ca2004.1_all.deb
Size: 1630588
MD5sum: 5e18ec05d5e7818761b25dabfeb08a04
SHA1: 46a965155bbe2b04819fc0094940171c48601483
SHA256: fee339ad4bbcededb40679949226475e64fe1452b0e16e0fb8788b963f85441d
SHA512: 3878b5e011176122270023e5079c0a931098ab43807a0074505a0e098450398a7c93c3ef998e03965244cc8ba91a1082f7c13878506db4c5fdf820fd596c7196
Homepage: https://cran.r-project.org/package=rADA
Description: CRAN Package 'rADA' (Statistical Analysis and Cut-Point Determination of Immunoassays)
 Systematically transform immunoassay data, evaluate if the data is normally
 distributed, and pick the right method for cut point determination based on
 that evaluation. This package can also produce plots that are needed for
 reports, so data analysis and visualization can be done easily.

Package: r-cran-radanalysis
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sfsmisc, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-radanalysis_1.0.1-1.ca2004.1_all.deb
Size: 169088
MD5sum: c90c0f12e47d93368993f9d3145de5be
SHA1: 1145c15369bc2450919d9d1539b7cdf40f5a6835
SHA256: 200eea7a84298e805d0adc66612e9e00d1f5f682a7fe5e27cb544f04a926fda4
SHA512: d3e6c85edb606b1b37653227b3844965e227cf207fb4c85d5828ab53a2b320393154e457b159e309d043fbfdbab0db6df0918cb4bc9257050634feec8324380e
Homepage: https://cran.r-project.org/package=RADanalysis
Description: CRAN Package 'RADanalysis' (Normalization and Analysis of Rank Abundance Distributions)
 Implementation of the MaxRank normalization method, which enables
 standardization of Rank Abundance Distributions (RADs) to a specified number
 of ranks. Rank abundance distributions are widely used in biology and
 ecology to describe species abundances, and are mathematically equivalent to
 complementary cumulative distribution functions (CCDFs) used in physics,
 linguistics, sociology, and other fields. The method is described in
 Saeedghalati et al. (2017) <doi:10.1371/journal.pcbi.1005362>.

Package: r-cran-radar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-radar_1.0.0-1.ca2004.1_all.deb
Size: 97092
MD5sum: 8a8349a67d854877ac6594c1c523d36f
SHA1: b4b4e8b0b7eca4d7526e26014b4f4e8e7459659e
SHA256: cb7f9c31709aa8b3096cafdc4df7a277dc1f1e2ac8d0e3f754d41cbfc322cb97
SHA512: 23dc43d4dc22b24bc8763e5976610eb31cb0a6f317870c384811fb60340c82bd60983c8eaa35849cda3ec7fc108aeab1f51b7ad67e1e46dd9a1d431835d30114
Homepage: https://cran.r-project.org/package=radar
Description: CRAN Package 'radar' (Fundamental Formulas for Radar)
 Fundamental formulas for Radar, for attenuation, range, velocity,
 effectiveness, power, scatter, doppler, geometry, radar equations, etc.
 Based on Nick Guy's Python package PyRadarMet

Package: r-cran-radarboxplot
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-radarboxplot_1.0.5-1.ca2004.1_all.deb
Size: 196588
MD5sum: eca279cfbff66d61ea59f061a4f800c9
SHA1: 5f0169c6c7bfb8100d71886bb13e894d1bc95634
SHA256: e9eebc21a7285685a0498617694522a58a4691bd7f962a0897c9f08bef94a419
SHA512: 491777d5de7a3c561c778a760c5adc38c8bb8533d0dbb00ddf036fef11b8b7570bccac25bd47255aad04f83a77bc82d7696d6213fad50496c22f71ad51cee9d2
Homepage: https://cran.r-project.org/package=radarBoxplot
Description: CRAN Package 'radarBoxplot' (Implementation of the Radar-Boxplot)
 Creates the radar-boxplot, a plot that was created by the author during his
 Ph.D. in forest resources.  The radar-boxplot is a visualization feature
 suited for multivariate classification/clustering. It provides an intuitive
 deep understanding of the data.

Package: r-cran-radarchart
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-radarchart_0.3.1-1.ca2004.1_all.deb
Size: 316532
MD5sum: 1b855c66c24192133795c303542123c5
SHA1: 17d0bf757a8f7ad511917531b45a5b58e3ad2891
SHA256: db002cad57bc6cdc8c824514d3bb7bc0eca67f7a8e236387626705eb32cadce0
SHA512: e3760ff7bbcf324af2b9901bd67f60d9b66147bfe579ea59c5d1b643f5afb07dd32693a78627bfcb054b64d3d3f19a6b16230be14c522b70a0db8a234a839300
Homepage: https://cran.r-project.org/package=radarchart
Description: CRAN Package 'radarchart' (Radar Chart from 'Chart.js')
 Create interactive radar charts using the 'Chart.js' 'JavaScript' library
 and the 'htmlwidgets' package. 'Chart.js' <http://www.chartjs.org/> is a
 lightweight library that supports several types of simple chart using the
 'HTML5' canvas element. This package provides an R interface specifically to
 the radar chart, sometimes called a spider chart, for visualising
 multivariate data.

Package: r-cran-raddata
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4451
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-radsafer
Filename: pool/dists/focal/main/r-cran-raddata_1.0.2-1.ca2004.1_all.deb
Size: 4519544
MD5sum: d9d53755d281841248430c2959cece0c
SHA1: 82ec45c0343eec913eb38024ca4f1322f01ae080
SHA256: 8b7fa2bf77f933fdb31db9be8f6740f43bc2c7ce147d188b2e0c513de94463eb
SHA512: 0c92a149a71fec05cebf311bdb6a6854179018b236ae24c42bc76fb518f2edb15acb4f39017c7577fff75da535508d7d62db1bd79de9a7345ee8a2463ce90ebb
Homepage: https://cran.r-project.org/package=RadData
Description: CRAN Package 'RadData' (Nuclear Decay Data for Dosimetric Calculations - ICRP 107)
 Nuclear Decay Data for Dosimetric Calculations from the International
 Commission on Radiological Protection from ICRP Publication 107. Ann. ICRP
 38 (3). Eckerman, Keith and Endo, Akira 2008
 <doi:10.1016/j.icrp.2008.10.004>
 <https://www.icrp.org/publication.asp?id=ICRP%20Publication%20107>.  This is
 a database of the physical data needed in calculations of
 radionuclide-specific protection and operational quantities. The data is
 prescribed by the ICRP, the international authority on radiation dose
 standards, for estimating dose from the intake of or exposure to
 radionuclides in the workplace and the environment.  The database contains
 information on the half-lives, decay chains, and yields and energies of
 radiations emitted in nuclear transformations of 1252 radionuclides of 97
 elements.

Package: r-cran-radialvisgadgets
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-import, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-miniui, r-cran-shiny, r-cran-shinyjs, r-cran-caret, r-cran-rlang, r-cran-shinyscreenshot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-clvalid
Filename: pool/dists/focal/main/r-cran-radialvisgadgets_0.2.0-1.ca2004.1_all.deb
Size: 398388
MD5sum: 5a0afdf75c0285ac458ced0976a1b11c
SHA1: d8556c73c4ea0d7ce0b2e12f89b3b866851b3a7c
SHA256: 5f565b469cdc4f52da93bb34f2d8d19a230d837c732b6849887a33d89221f658
SHA512: aff43a082379b82bcdcdf708ae8a53f4e46d15d48cdb438402fd1093aa688baeb5696bc37c5646112bdcc4eada7aab9ec91d072fc54485b1112940bbaa379a9a
Homepage: https://cran.r-project.org/package=RadialVisGadgets
Description: CRAN Package 'RadialVisGadgets' (Interactive Gadgets for Radial Visualization Approaches)
 Shiny-based interactive gadgets of radial visualization methods and
 extensions thereof.

Package: r-cran-radiant.basics
Architecture: all
Version: 1.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3650
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-radiant.data, r-cran-ggplot2, r-cran-scales, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-shiny, r-cran-psych, r-cran-import, r-cran-lubridate, r-cran-polycor, r-cran-patchwork, r-cran-rlang
Suggests: r-cran-testthat, r-cran-pkgdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-radiant.basics_1.6.6-1.ca2004.1_all.deb
Size: 3111304
MD5sum: 3c80913b7a0f013dd8a931de79e3f100
SHA1: b0795b1afb2b21eae7714f856529d986749ff28a
SHA256: 03e05701aa8053c7bff3b7b810a9c47c4cdfc87f11ed0a02a4b5d3dd4cc98e0e
SHA512: d9995278df5332a25fd844df1938f23f69ba56b3eeff55084d6e8ce6a25895e63b73923651b39fb54fafb7df296c3aaa1bd9f1c52ca92d3e7de6be2383a6db78
Homepage: https://cran.r-project.org/package=radiant.basics
Description: CRAN Package 'radiant.basics' (Basics Menu for Radiant: Business Analytics using R and Shiny)
 The Radiant Basics menu includes interfaces for probability calculation,
 central limit theorem simulation, comparing means and proportions,
 goodness-of-fit testing, cross-tabs, and correlation. The application
 extends the functionality in 'radiant.data'.

Package: r-cran-radiant.data
Architecture: all
Version: 1.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-lubridate, r-cran-tidyr, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-broom, r-cran-car, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-shiny, r-cran-jsonlite, r-cran-shinyace, r-cran-psych, r-cran-dt, r-cran-readr, r-cran-readxl, r-cran-writexl, r-cran-scales, r-cran-curl, r-cran-rstudioapi, r-cran-import, r-cran-plotly, r-cran-glue, r-cran-shinyfiles, r-cran-stringi, r-cran-randomizr, r-cran-patchwork, r-cran-bslib, r-cran-png, r-cran-mass, r-cran-base64enc
Suggests: r-cran-arrow, r-cran-dbplyr, r-cran-dbi, r-cran-rsqlite, r-cran-rpostgres, r-cran-webshot, r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-radiant.data_1.6.7-1.ca2004.1_all.deb
Size: 2058004
MD5sum: 5db6f0cfda5f0e810129f0549c68f1a0
SHA1: 421c71ed2d20dcef58a43c07b6bca81437ad6e12
SHA256: 94b8ff7af20693c6c48590c389168abe706547c363ae2249fb20aa864445448e
SHA512: ee897971184da7a67c2cd728c7295b3a94947d67bcf47b5bef3d31e928be584452c8a117a7d58c813a5320e2254499f9370ef6d7f4e93235dfaa4d45a0780f3f
Homepage: https://cran.r-project.org/package=radiant.data
Description: CRAN Package 'radiant.data' (Data Menu for Radiant: Business Analytics using R and Shiny)
 The Radiant Data menu includes interfaces for loading, saving, viewing,
 visualizing, summarizing, transforming, and combining data. It also contains
 functionality to generate reproducible reports of the analyses conducted in
 the application.

Package: r-cran-radiant.design
Architecture: all
Version: 1.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-radiant.data, r-cran-dplyr, r-cran-magrittr, r-cran-shiny, r-cran-algdesign, r-cran-import, r-cran-pwr, r-cran-randomizr, r-cran-mvtnorm, r-cran-polycor
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-radiant.design_1.6.6-1.ca2004.1_all.deb
Size: 1370020
MD5sum: 75959e316a109ebfbe8de390b706f91e
SHA1: 6ecbea15fd1df9071011e7e327f9f3710c700041
SHA256: a4239171864c969fdd424bef3b15fbc86bdafe2030056ced4358052c496d96da
SHA512: 8d5dfb9315844b220b040c4455e42cc87fedfa343c515c977538ba82b4a7563507ac4dd5daff8b3ac8fbcfba872e2214599777764fb510a13339c4d420133e28
Homepage: https://cran.r-project.org/package=radiant.design
Description: CRAN Package 'radiant.design' (Design Menu for Radiant: Business Analytics using R and Shiny)
 The Radiant Design menu includes interfaces for design of experiments,
 sampling, and sample size calculation. The application extends the
 functionality in 'radiant.data'.

Package: r-cran-radiant.model
Architecture: all
Version: 1.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2231
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-radiant.data, r-cran-radiant.basics, r-cran-shiny, r-cran-nnet, r-cran-neuralnettools, r-cran-sandwich, r-cran-car, r-cran-ggplot2, r-cran-scales, r-cran-data.tree, r-cran-stringr, r-cran-lubridate, r-cran-tidyr, r-cran-dplyr, r-cran-tidyselect, r-cran-rlang, r-cran-magrittr, r-cran-diagrammer, r-cran-import, r-cran-psych, r-cran-e1071, r-cran-rpart, r-cran-ggrepel, r-cran-broom, r-cran-patchwork, r-cran-ranger, r-cran-xgboost, r-cran-pdp, r-cran-vip, r-cran-stringi, r-cran-yaml
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-radiant.model_1.6.7-1.ca2004.1_all.deb
Size: 1248412
MD5sum: 6d4f6744320d82ea14f0f64f226436d2
SHA1: fa0a11fcc2d97d4c09ffcf06556155630f03fc9e
SHA256: 231bebda3679cfb4e6a355b05a488ad23f974c064bfcd6ed117f754abeb382dc
SHA512: 763891a81198e4bc0a363250a67d696b93417b454f49d6091eb37d39001474152df161b3ba5f2be35b3e1af5706c7bc95ade8919f88dda38524012d4d7b83389
Homepage: https://cran.r-project.org/package=radiant.model
Description: CRAN Package 'radiant.model' (Model Menu for Radiant: Business Analytics using R and Shiny)
 The Radiant Model menu includes interfaces for linear and logistic
 regression, naive Bayes, neural networks, classification and regression
 trees, model evaluation, collaborative filtering, decision analysis, and
 simulation.  The application extends the functionality in 'radiant.data'.

Package: r-cran-radiant.multivariate
Architecture: all
Version: 1.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4415
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-radiant.data, r-cran-radiant.model, r-cran-shiny, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-scales, r-cran-magrittr, r-cran-psych, r-cran-gparotation, r-cran-car, r-cran-mass, r-cran-import, r-cran-ggrepel, r-cran-lubridate, r-cran-polycor, r-cran-gower, r-cran-clustmixtype, r-cran-patchwork
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-radiant.multivariate_1.6.7-1.ca2004.1_all.deb
Size: 3851536
MD5sum: 4aa907f6fa64ce103795af5f7323896a
SHA1: 54febc82581e253f8c30403521fac63cbe0d182d
SHA256: e105a2158c597176fc1cf6dba32d857c2aa31cb4b4faca37eabfe1a212f44197
SHA512: 2b0703c9b59d5acbc35c5728627cfce62e80f92192d512c006c890525a46bc4c14e68aff8cebdff619eb04c9646575313c58429e3b9638fa8ab2b6e19c2bf43d
Homepage: https://cran.r-project.org/package=radiant.multivariate
Description: CRAN Package 'radiant.multivariate' (Multivariate Menu for Radiant: Business Analytics using R andShiny)
 The Radiant Multivariate menu includes interfaces for perceptual mapping,
 factor analysis, cluster analysis, and conjoint analysis. The application
 extends the functionality in 'radiant.data'.

Package: r-cran-radiant
Architecture: all
Version: 1.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5061
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-radiant.data, r-cran-radiant.design, r-cran-radiant.basics, r-cran-radiant.model, r-cran-radiant.multivariate, r-cran-shiny, r-cran-import
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-radiant_1.6.6-1.ca2004.1_all.deb
Size: 1743672
MD5sum: 511b4d1ddfc619cc3b495952a8b02eeb
SHA1: ea59db10a1422aaf5537a57940969d02dcaf93b2
SHA256: 9bb032a55a84ad317b3becdf6aa501b0bd00a7a3f652dc47f7cc85b3d13dd2cf
SHA512: 10a6f702a76406801d19fba2cbe2ccd9397cd3fef11721049e893074c20884ee53d6baa453e5807ce454f263bb6b403fa0ea2c74ad0d41b7310a1fc34ada2902
Homepage: https://cran.r-project.org/package=radiant
Description: CRAN Package 'radiant' (Business Analytics using R and Shiny)
 A platform-independent browser-based interface for business analytics in R,
 based on the shiny package. The application combines the functionality of
 'radiant.data', 'radiant.design', 'radiant.basics', 'radiant.model', and
 'radiant.multivariate'.

Package: r-cran-radiosonde
Architecture: all
Version: 4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fields
Filename: pool/dists/focal/main/r-cran-radiosonde_4.2-1.ca2004.1_all.deb
Size: 336564
MD5sum: 050878536abc8d702985c706edb8a26f
SHA1: aa1d9549865b0b474c15f235bf3141f9384b3274
SHA256: 92671902bb53c51151ae3d55ae0492d81e0ecb2ee0f86ce1d5fcf0708ce175ce
SHA512: 957683b538ee3f2ce6d96d662657327a4933cc968b5acd50dae2cd7417ea2e62032d22c61cf54b8c519179d0779ff52887c909f16150d75b58934a2f3bf46093
Homepage: https://cran.r-project.org/package=RadioSonde
Description: CRAN Package 'RadioSonde' (Tools for Plotting Skew-T Diagrams and Wind Profiles)
 A collection of programs for plotting SKEW-T,log p diagrams and wind
 profiles for data collected by radiosondes (the typical weather
 balloon-borne instrument). The format of this plot with companion lines to
 assess atmospheric stability are both standard in meteorology and difficult
 to create from basic graphics functions. Hence this package. One novel
 feature is being able add several profiles to the same plot for comparison.
 Use "help(ExampleSonde)" for an explanation of the variables needed and how
 they should be named in a data frame. See
 <https://github.com/dnychka/Radiosonde> for the package home page.

Package: r-cran-radir
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hermite
Filename: pool/dists/focal/main/r-cran-radir_1.0.4-1.ca2004.1_all.deb
Size: 44736
MD5sum: a963e78e2ef7bb540e1824a8cf17298c
SHA1: 223e58cd9c3c7037db53aaf289b2f8035bc5d9e1
SHA256: b15ed5212b7946a61c306103473969a27f00474c1b4246d2891ecc8e0b6d9924
SHA512: abd51855200f3e81b793fc038a49a12059857a45c296638119191c4b703f0a80eb9b5dbe4e1eb1ada819fda8042583a3dae7d8a0a66a707edc0ea1a781cd4d90
Homepage: https://cran.r-project.org/package=radir
Description: CRAN Package 'radir' (Inverse-Regression Estimation of Radioactive Doses)
 Radioactive doses estimation using individual chromosomal aberrations
 information. See Higueras M, Puig P, Ainsbury E, Rothkamm K. (2015)
 <doi:10.1088/0952-4746/35/3/557>.

Package: r-cran-radlibs
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-lexicon, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-radlibs_0.2.0-1.ca2004.1_all.deb
Size: 233364
MD5sum: 4e524638411c63235d01f8f728556a4e
SHA1: 9bf5fbdf181a55d39a7164354d75f3de4180e326
SHA256: 33069693f288d2fbbed0c6a45d5e7de08c44686a2626c387126a9f428d8f5940
SHA512: 25711d6ff65747913eb054b879e8995e1f989e4f39450a17e81908d0b1b545bf1373277264283e7d40428e4856e630e3ffcdb06e4298d10c980b63ffa11c4184
Homepage: https://cran.r-project.org/package=radlibs
Description: CRAN Package 'radlibs' (Build Your Own Madlibs!)
 Make your phrase or sentence into something funny! Pass a string with the
 keywords in, and get out a bit of humor.

Package: r-cran-radonc
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oro.dicom, r-cran-ptinpoly
Filename: pool/dists/focal/main/r-cran-radonc_1.1.9-1.ca2004.1_all.deb
Size: 3558532
MD5sum: 4036d78bdc9e319399621e7c4ecb416d
SHA1: 415b45ae7e3c047f1beb3e12aafd35ecac27a987
SHA256: da1fc06591243197bf5c2c9aac60619a94d5cb956cb52625e03ea487f0ab725e
SHA512: 3479f1f5a6a865b5f221f5e25ea9c5fb775d79c282d1605656990e6d067540b5afee34ff3db6544fee8c9f62422e7dad356c4804a942788cd7ae4a3f1e568e65
Homepage: https://cran.r-project.org/package=RadOnc
Description: CRAN Package 'RadOnc' (Analytical Tools for Radiation Oncology)
 Designed for the import, analysis, and visualization of dosimetric and
 volumetric data in Radiation Oncology, the tools herein enable import of
 dose-volume histogram information from multiple treatment planning system
 platforms and 3D structural representations and dosimetric information from
 'DICOM-RT' files.  These tools also enable subsequent visualization and
 statistical analysis of these data.

Package: r-cran-radous
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-readr, r-cran-checkmate, r-cran-curl
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-radous_0.1.3-1.ca2004.1_all.deb
Size: 10592
MD5sum: 709cd1e6a5cddfe3972fe4d7114bdce5
SHA1: 78642a2efcb29132b46598deb761d754b2282289
SHA256: 86e1ea6ff3cd85d8bc9a39a2c2d4910fc0dfd96751f46cce56544d3262373708
SHA512: c7de4aa0aa89bab005f67d23d69b55d6c28e2c0154ada6992e70c4ac5c2f2be46162f820d3bafecea54932c2962ddd94aec1278defa7cca5e705510a769ddd8d
Homepage: https://cran.r-project.org/package=radous
Description: CRAN Package 'radous' (Query Random User Data from the Random User Generator API)
 Generate random user data from the Random User Generator API.  For more
 information, see <https://randomuser.me/>.

Package: r-cran-radsafer
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-readr, r-cran-raddata, r-cran-stringr, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-scatterplot3d, r-cran-ggthemes, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-beepr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-radsafer_2.3.0-1.ca2004.1_all.deb
Size: 392412
MD5sum: 56603dc121658b16751c1b9425d23a82
SHA1: 366184f44e909616eac3207b99e9b4ab11289b1a
SHA256: 705803e517d3a0fb3830484027e91749c01fcae06d8d785afce9cd092b366926
SHA512: 70b7075ce7a2f2aec8561e0e88fb46cd9ad7ed7f5c26b2462e3155958d13407a49b2a7c58d5c23bdf05ad0f07c61e8e46346100add502673d21396ef798f4cfe
Homepage: https://cran.r-project.org/package=radsafer
Description: CRAN Package 'radsafer' (Radiation Safety)
 Provides functions for radiation safety, also known as "radiation
 protection" and "radiological control". The science of radiation protection
 is called "health physics" and its engineering functions are called
 "radiological engineering". Functions in this package cover many of the
 computations needed by radiation safety professionals. Examples include:
 obtaining updated calibration and source check values for radiation monitors
 to account for radioactive decay in a reference source, simulating
 instrument readings to better understand measurement uncertainty, correcting
 instrument readings for geometry and ambient atmospheric conditions. Many of
 these functions are described in Johnson and Kirby (2011, ISBN-13:
 978-1609134198). Utilities are also included for developing inputs and
 processing outputs with radiation transport codes, such as MCNP, a
 general-purpose Monte Carlo N-Particle code that can be used for neutron,
 photon, electron, or coupled neutron/photon/electron transport (Werner et.
 al. (2018) <doi:10.2172/1419730>).

Package: r-cran-radstackshelpr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vcfr, r-cran-ggplot2, r-cran-ggridges, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-radstackshelpr_0.1.0-1.ca2004.1_all.deb
Size: 882708
MD5sum: 676c5a6fd33deeb8ede3e1dcddf6f434
SHA1: 89480e4d4779fc909504825e15ce0a946cbb4875
SHA256: 3b989f10af5ef012c06b891ecf846fdc582b9370306c71cbdcc080d334f60c88
SHA512: b36a22198e4e1af463caa6cd9ef5b2984f71a025462807d6e95e26a563401f8f2065c7e015b2abfc9a78aacacadd5fb12a66fb6cd5884198659d0b71b1830f25
Homepage: https://cran.r-project.org/package=RADstackshelpR
Description: CRAN Package 'RADstackshelpR' (Optimize the De Novo Stacks Pipeline via R)
 Offers a handful of useful wrapper functions which streamline the reading,
 analyzing, and visualizing of variant call format (vcf) files in R.  This
 package was designed to facilitate an explicit pipeline for optimizing
 Stacks (Rochette et al., 2019) (<doi:10.1111/mec.15253>) parameters during
 de novo (without a reference genome) assembly and variant calling of
 restriction-enzyme associated DNA sequence (RADseq) data. The pipeline
 implemented here is based on the 2017 paper "Lost in Parameter Space" (Paris
 et al., 2017) (<doi:10.1111/2041-210X.12775>) which establishes clear
 recommendations for optimizing the parameters 'm', 'M', and 'n', during the
 process of assembling loci.

Package: r-cran-radtran
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reactran, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-radtran_1.0-1.ca2004.1_all.deb
Size: 45032
MD5sum: 06e1ed6ceaf88fcbd14c985b0b56c3c4
SHA1: 747a72bc8ee3b43ff18369692087d9f72ab0408b
SHA256: 02ccbf30bb40e2c301f02acaf5f28f3d2cb450a96c47b849a8958a729147071f
SHA512: a6963b2225be87213fff2daeda4a74962d3989a999e167e636379edf98cba8c9e46b1caf054a44ca1878cabb9d15828ba0f81443d94c2dd4abdad88ca2b752f8
Homepage: https://cran.r-project.org/package=RadTran
Description: CRAN Package 'RadTran' (Radon and Soil Gas Transport in 2D Porous Medium)
 Contains 4 different functions for radon and soil gas transport in a porous
 medium.

Package: r-cran-radwords
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3075
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-radwords_0.1.18-1.ca2004.1_all.deb
Size: 109728
MD5sum: 2eb92e02dd34f7ffd43d849bba6de239
SHA1: bb685ea7bbc06d14fec7951a92f2e35a36c626ce
SHA256: fa92196636c027de480d01f6b68112ef8368019e9f30bf9640fff354ccc86fc2
SHA512: 5dcc9f3f508e5fcce57823f8f03a0fc33b53451f39428c4af9aeee8bf689c3d1ce592957d2f60d79e6e3dc6308ade9f0916b16c625092e861202aeb968d9d6c6
Homepage: https://cran.r-project.org/package=RAdwords
Description: CRAN Package 'RAdwords' (Loading Google Adwords Data into R)
 Aims at loading Google Adwords data into R. Adwords is an online advertising
 service that enables advertisers to display advertising copy to web users
 (see <https://developers.google.com/adwords/> for more information).
 Therefore the package implements three main features. First, the package
 provides an authentication process for R with the Google Adwords API (see
 <https://developers.google.com/adwords/api/> for more information) via
 OAUTH2.  Second, the package offers an interface to apply the Adwords query
 language in R and query the Adwords API with ad-hoc reports. Third, the
 received data are transformed into suitable data formats for further data
 processing and data analysis.

Package: r-cran-raem
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 708
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve
Suggests: r-cran-isoband, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-raem_0.1.0-1.ca2004.1_all.deb
Size: 454732
MD5sum: 318bae03012ba749b90ca0e149a525bd
SHA1: 9445cda225e923ae0ab84963c4a6896bf8bea3ab
SHA256: 71db638b283320fee5ccbd411412550e31095f526b962764e77d2631b438d0d3
SHA512: 3fc8dac66749876fbea0b7b58d30e9cceda5ee490cda57d867e3a1e62d37820b5e1e6a4fde05bbfe9cf553ecbba97064b08d1d9d95385c594822ceefb1fadee6
Homepage: https://cran.r-project.org/package=raem
Description: CRAN Package 'raem' (Analytic Element Modeling of Steady Single-Layer GroundwaterFlow)
 A model of single-layer groundwater flow in steady-state under the
 Dupuit-Forchheimer assumption can be created by placing elements such as
 wells, area-sinks and line-sinks at arbitrary locations in the flow field.
 Output variables include hydraulic head and the discharge vector. Particle
 traces can be computed numerically in three dimensions. The underlying
 theory is described in Haitjema (1995)
 <doi:10.1016/B978-0-12-316550-3.X5000-4> and references therein.

Package: r-cran-raen
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1626
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-boot, r-cran-foreach, r-cran-doparallel, r-cran-glmnet, r-cran-fastcmprsk
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-raen_0.2-1.ca2004.1_all.deb
Size: 1608120
MD5sum: d0a0572b2757adbe95633d71bedf03c9
SHA1: 517200f7405399f56df401919fc504cfb6133152
SHA256: ac7320f2dcdff9df8e8224eadd87b6303d693428167f95635eb91a421c1578c7
SHA512: 7afcf77d99c64480a5f47f8dd3f0bb984bb443b4647bdfb09cb547226e278fd60992ea283aa4ffb19790cfda66fe9d1692b9d562a4f302516cfd7fbcbcea82db
Homepage: https://cran.r-project.org/package=RAEN
Description: CRAN Package 'RAEN' (Random Approximate Elastic Net (RAEN) Variable Selection Method)
 The Proportional Subdistribution Hazard (PSH) model has been popular for
 estimating the effects of the covariates on the cause of interest in
 Competing Risks analysis. The fast accumulation of large scale datasets has
 posed a challenge to classical statistical methods. Current penalized
 variable selection methods show unsatisfactory performance in ultra-high
 dimensional data. We propose a novel method, the Random Approximate Elastic
 Net (RAEN), with a robust and generalized solution to the variable selection
 problem for the PSH model. Our method shows improved sensitivity for
 variable selection compared with current methods.

Package: r-cran-rafalib
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-biocmanager
Filename: pool/dists/focal/main/r-cran-rafalib_1.0.4-1.ca2004.1_all.deb
Size: 62480
MD5sum: 5847650da00da8b64de4ac15cab0be18
SHA1: 9835b38a2d05bb1893180a2876cd481b5e72e3ff
SHA256: 9d6f05dd53e41efd9d8cea4c7a21b2f6b4b766333f0ad8e6e778f065fa95d000
SHA512: cf6fdf1e0dc25d0c7b6cd2f2c190e4519a78566f314b08ef922514af5f685364e6bb2dff661f80604624a807a1a74b8e2960a60248d108d834bec8d862c8d35d
Homepage: https://cran.r-project.org/package=rafalib
Description: CRAN Package 'rafalib' (Convenience Functions for Routine Data Exploration)
 A series of shortcuts for routine tasks originally developed by Rafael A.
 Irizarry to facilitate data exploration.

Package: r-cran-rafs
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fastcluster, r-cran-mdfs, r-cran-splittools
Filename: pool/dists/focal/main/r-cran-rafs_0.2.5-1.ca2004.1_all.deb
Size: 74516
MD5sum: 83c02c288e349de2d052bb7cd96d4775
SHA1: 922a20f531eb115223cf54fb37a72f9d83f49f86
SHA256: a5ebd6864ea1e022cd3ab3f46ef27b8cddd3b8d2f69bda083fe05258f9a2098b
SHA512: 8fd4252e2d90f4955547e4ebbea986c95cebe7f1a5ca3ace067cbcae1ecf59b3a4a90143c6cb39e00ef522b8ad90f19504e426f8bb4482bdc6ad61046f3e3574
Homepage: https://cran.r-project.org/package=RAFS
Description: CRAN Package 'RAFS' (Robust Aggregative Feature Selection)
 A cross-validated minimal-optimal feature selection algorithm.  It utilises
 popularity counting, hierarchical clustering with feature dissimilarity
 measures, and prefiltering with all-relevant feature selection method to
 obtain the minimal-optimal set of features.

Package: r-cran-rafsi
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rafsi_0.0.2-1.ca2004.1_all.deb
Size: 21404
MD5sum: d9f76bf15d9bff07eafc8d48171fc581
SHA1: bcd2aa099cea5f083fe152e4428065e72970d044
SHA256: d2f3efe071c10e7b40c5b3e9b8662bdf723a38847c50218c801f5969a2539eab
SHA512: 2bb57dc16acf6452e8a99726ce3165013abbb3cce1c23d5fa934e9b13b8f84a0ff2cf9b6ce5f16da1b421dc45a62fc713698a1a1a0484375e84b77f26c03093c
Homepage: https://cran.r-project.org/package=rafsi
Description: CRAN Package 'rafsi' (Ranking of Alternatives with the RAFSI Method)
 Ranking of Alternatives through Functional mapping of criterion
 sub-intervals into a Single Interval Method is designed to perform
 multi-criteria decision-making (MCDM), developed by Mališa Žižovic in 2020
 (<doi:10.3390/math8061015>).  It calculates the final sorted rankings based
 on a decision matrix where rows represent alternatives and columns represent
 criteria. The method uses: - A numeric vector of weights for each criterion
 (the sum of weights must be 1).  - A numeric vector of ideal values for each
 criterion.  - A numeric vector of anti-ideal values for each criterion.  -
 Numeric values representing the extent to which the ideal value is preferred
 over the anti-ideal value, and the extent to which the anti-ideal value is
 considered worse.  The function standardizes the decision matrix, normalizes
 the data, applies weights, and returns the final sorted rankings.

Package: r-cran-rage
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3092
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-diagrammer, r-cran-expm, r-cran-mass, r-cran-popdemo
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rcompadre, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rage_1.8.0-1.ca2004.1_all.deb
Size: 1042644
MD5sum: a9d6903f3421c33aad94570196502b0d
SHA1: fafb7c56a199e3a66835f80e59aa30a6661f77dc
SHA256: f7c0b0549414cf66140e749aa65150af02eadc4546dee6cff39de9729ec16014
SHA512: 2777681beddb75bb64cdb1b0614e6f527d4c8806c585076b32ad6cc6900a8d031855a0e5cf803192a7e672020c95b68d3ff3cbad8d637f25b3ac088124b8ca48
Homepage: https://cran.r-project.org/package=Rage
Description: CRAN Package 'Rage' (Life History Metrics from Matrix Population Models)
 Functions for calculating life history metrics using matrix population
 models ('MPMs'). Described in Jones et al. (2021)
 <doi:10.1101/2021.04.26.441330>.

Package: r-cran-ragflowchainr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1566
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-httr, r-cran-dplyr, r-cran-pdftools, r-cran-officer, r-cran-rvest, r-cran-xml2, r-cran-curl
Suggests: r-cran-testthat, r-cran-jsonlite, r-cran-stringi, r-cran-magrittr, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ragflowchainr_0.1.5-1.ca2004.1_all.deb
Size: 1541136
MD5sum: 688900ea7dbb35f0f4b2bb2a89201b51
SHA1: c0d7e15d465594657811a31f1d13c3b2db9702f6
SHA256: 58a690f4a1cb2027e2f2f02b1a44d3d63d05455797e58c3c045a1a075cb1765f
SHA512: 0e9d987c686949f1bed28fb4fd41a77a23e6502f33057b5cdb858dd2e71df919f0da280138459faf3e5b34f443da967ab69966291f4503f0a152f1bc6f73ca73
Homepage: https://cran.r-project.org/package=RAGFlowChainR
Description: CRAN Package 'RAGFlowChainR' (Retrieval-Augmented Generation (RAG) Workflows in R with Localand Web Search)
 Enables Retrieval-Augmented Generation (RAG) workflows in R by combining
 local vector search using 'DuckDB' with optional web search via the 'Tavily'
 API.  Supports 'OpenAI'- and 'Ollama'-compatible embedding models, full-text
 and 'HNSW' (Hierarchical Navigable Small World) indexing, and modular large
 language model (LLM) invocation. Designed for advanced question-answering,
 chat-based applications, and production-ready AI pipelines. This package is
 the R equivalent of the 'python' package 'RAGFlowChain' available at
 <https://pypi.org/project/RAGFlowChain/>.

Package: r-cran-raggrid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4385
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-crosstalk, r-cran-knitr
Suggests: r-cran-jsonlite, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-raggrid_0.2.0-1.ca2004.1_all.deb
Size: 318108
MD5sum: 22568a6e03f8739e71b6e70f32bd06c0
SHA1: f6cc2f24bcf7c11b85a891aa96b693ea2af79910
SHA256: ab43671c83115d6dfea0d2ab7b09231c3dda05823dba24fdab55799ee8540332
SHA512: 22747fa486452d6d6586d55713e789d79021f562a138d3441eeec08cfec87d7e721eba36850eac16c07accd17f8faa3d7bd73d1bffa9c7ef1239e74242e0109e
Homepage: https://cran.r-project.org/package=RagGrid
Description: CRAN Package 'RagGrid' (A Wrapper of the 'JavaScript' Library 'agGrid')
 Data objects in 'R' can be rendered as 'HTML' tables using the 'JavaScript'
 library 'ag-grid' (typically via 'R Markdown' or 'Shiny'). The 'ag-grid'
 library has been included in this 'R' package. The package name 'RagGrid' is
 an abbreviation of 'R agGrid'.

Package: r-cran-ragtop
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-limsolve, r-cran-futile.logger
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-stringr, r-cran-ggplot2, r-cran-mass, r-cran-rcolorbrewer, r-cran-bondvaluation, r-cran-r.cache, r-cran-quandl
Filename: pool/dists/focal/main/r-cran-ragtop_1.1.1-1.ca2004.1_all.deb
Size: 544508
MD5sum: bb380753767e4f1c7419f105f65e557e
SHA1: d84e788fc0a57cce31e515b051f05083208bfc8c
SHA256: e99c363199f42fb64aee6ce6e152747ecd3ee7823e6f0073ec69943c7138fb96
SHA512: b77cd64857a92083a08ec8b53e2a3fa41b5f6abe4203a12439fa7b7f6865b09c00e27e169d1c8c4f8ca20444bfbd639ad505e4502309ae9397b2a42dc2ecedc1
Homepage: https://cran.r-project.org/package=ragtop
Description: CRAN Package 'ragtop' (Pricing Equity Derivatives with Extensions of Black-Scholes)
 Algorithms to price American and European equity options, convertible bonds
 and a variety of other financial derivatives. It uses an extension of the
 usual Black-Scholes model in which jump to default may occur at a
 probability specified by a power-law link between stock price and hazard
 rate as found in the paper by Takahashi, Kobayashi, and Nakagawa (2001)
 <doi:10.3905/jfi.2001.319302>.  We use ideas and techniques from Andersen
 and Buffum (2002) <doi:10.2139/ssrn.355308> and Linetsky (2006)
 <doi:10.1111/j.1467-9965.2006.00271.x>.

Package: r-cran-rai
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-readr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rai_1.0.0-1.ca2004.1_all.deb
Size: 82516
MD5sum: 9b78fd724e932fb8161d7f1a929db373
SHA1: 28f436bb5fc0d6e50d962db3da8a5b04d769bedd
SHA256: dd174378bdd8ac919800e3a6d7d314716c3141e2dd691c3a7dc69ac1185c40e5
SHA512: c1230c8adf63eb1c7e63c8350632b51c9f8e039965c0acf5356affbb308ba05a5ecf6f806160847d6e5598988b120b3f4e40a73359d723fafda220e7e06293a4
Homepage: https://cran.r-project.org/package=rai
Description: CRAN Package 'rai' (Revisiting-Alpha-Investing for Polynomial Regression)
 A modified implementation of stepwise regression that greedily searches the
 space of interactions among features in order to build polynomial regression
 models.  Furthermore, the hypothesis tests conducted are valid-post model
 selection due to the use of a revisiting procedure that implements an
 alpha-investing rule. As a result, the set of rejected sequential hypotheses
 is proven to control the marginal false discover rate. When not searching
 for polynomials, the package provides a statistically valid algorithm to run
 and terminate stepwise regression. For more information, see Johnson, Stine,
 and Foster (2019) <arXiv:1510.06322>.

Package: r-cran-rainbow
Architecture: all
Version: 3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 454
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-pcapp, r-cran-hdrcde, r-cran-cluster, r-cran-colorspace, r-cran-ks
Suggests: r-cran-forecast
Filename: pool/dists/focal/main/r-cran-rainbow_3.8-1.ca2004.1_all.deb
Size: 420768
MD5sum: abb26b9466178c95890a48e7bda4d275
SHA1: 759669af4d126d945e28687713dd3ee6b7b12d50
SHA256: 29f294c5866455ac5071c47f1b8c840f657c65f35ba347f4ab8011b4813897b8
SHA512: 1b6b8649002429c74be41c4c598216da07f898e1da412606b2362911384d2c17dfea79c42c308fa95b175f17923a1963434f6b6c3f6c84779b59125785afe959
Homepage: https://cran.r-project.org/package=rainbow
Description: CRAN Package 'rainbow' (Bagplots, Boxplots and Rainbow Plots for Functional Data)
 Visualizing functional data and identifying functional outliers.

Package: r-cran-raincin
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-popdemo
Filename: pool/dists/focal/main/r-cran-raincin_1.0.3-1.ca2004.1_all.deb
Size: 68576
MD5sum: 09240db0c70e1b708ca0cabe53df1dd4
SHA1: 18df5d4f74cf4acb7e8d8b4f0a5aad65b9ca3b04
SHA256: a7126f9c38c79115fff834ecf6defc5a1806e8ff5c6cfd8c35348551fbd943f7
SHA512: a05324851dc54c823b2910c0d374c41efb73bed79f02e1ec868e447c9bd592765c2d4efd69616f2a6d1af200732508bfea1472ac277b9b9bfbb3aee761a32096
Homepage: https://cran.r-project.org/package=raincin
Description: CRAN Package 'raincin' (Ranking with Incomplete Information)
 Various statistical and mathematical ranking and rating methods with
 incomplete information are included. This package is initially designed for
 the scoring system in a high school project showcase to rank student
 research projects, where each judge can only evaluate a set of projects in a
 limited time period. See Langville, A. N. and Meyer, C. D. (2012), Who is
 Number 1: The Science of Rating and Ranking, Princeton University Press
 <doi:10.1515/9781400841677>, and Gou, J. and Wu, S. (2020), A Judging System
 for Project Showcase: Rating and Ranking with Incomplete Information,
 Technical Report.

Package: r-cran-rainfallerosivityfactor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rainfallerosivityfactor_1.0.0-1.ca2004.1_all.deb
Size: 36920
MD5sum: 03eef9a6b1397c9c8392eaa83cd5b24b
SHA1: eae4e7b246e9fc8740f7e23be65bef20d3c89370
SHA256: 05da1619d0d3908bbf1d9c2510a9e23b6b71459e8185f934e1c07a9957c79dc5
SHA512: a167614433037f26684d8c83cbe7ed8b0f4701a2dbff28f7a6acc505ebe176435625b38613b88d457df27c68bead6bcde5af986b7b65398e7098b51365722e45
Homepage: https://cran.r-project.org/package=RainfallErosivityFactor
Description: CRAN Package 'RainfallErosivityFactor' (The Rainfall-Runoff Erosivity Factor)
 Determination of rainfall-runoff erosivity factor.

Package: r-cran-rainfarmr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rainfarmr_0.1-1.ca2004.1_all.deb
Size: 69752
MD5sum: 5e5bca7ffc635c19628d11eff25ffa2b
SHA1: 39502bcb7ded3f5061ccdf2a21539fec2dffb045
SHA256: 53ed58855d41ffce963528f74a728a7a9c833e5a4cf967b8d0f4aadd52174348
SHA512: a93f593ca595a6e46cb63950be4a1e29d8b9de1e111ab86bca27d2ef867f6abeb0a80da2512ef150fa49751780e8374f39d080e77d7925545908e4b578e7b336
Homepage: https://cran.r-project.org/package=rainfarmr
Description: CRAN Package 'rainfarmr' (Stochastic Precipitation Downscaling with the RainFARM Method)
 An implementation of the RainFARM (Rainfall Filtered Autoregressive Model)
 stochastic precipitation downscaling method (Rebora et al. (2006)
 <doi:10.1175/JHM517.1>). Adapted for climate downscaling according to
 D'Onofrio et al. (2018) <doi:10.1175/JHM-D-13-096.1> and for complex
 topography as in Terzago et al. (2018) <doi:10.5194/nhess-18-2825-2018>. The
 RainFARM method is based on the extrapolation to small scales of the Fourier
 spectrum of a large-scale precipitation field, using a fixed logarithmic
 slope and random phases at small scales, followed by a nonlinear
 transformation of the resulting linearly correlated stochastic field.
 RainFARM allows to generate ensembles of spatially downscaled precipitation
 fields which conserve precipitation at large scales and whose statistical
 properties are consistent with the small-scale statistics of observed
 precipitation, based only on knowledge of the large-scale precipitation
 field.

Package: r-cran-rairtable
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-dplyr, r-cran-cli, r-cran-crayon, r-cran-rlang, r-cran-progress
Filename: pool/dists/focal/main/r-cran-rairtable_0.1.2-1.ca2004.1_all.deb
Size: 56844
MD5sum: d5b30cc1fd7f7ca1e558b0e65806a9b6
SHA1: 78c199ccc6cb1243c21b0dc91eaf9e52e195d07a
SHA256: dab993359175b18c66a3c795ed0eecd0ca1a3992cabbf0dc14fd704dfc9ee22e
SHA512: 90328c306b34d422ebb6b681e9ac8c84f984e64b33dda98fb6cd4bf402043d9bbce3ac4b1118831849b4fe1ccb04f63b7f0d925111eb7319ff3b721bb4f381fc
Homepage: https://cran.r-project.org/package=rairtable
Description: CRAN Package 'rairtable' (Efficient Wrapper for the 'Airtable' API)
 Efficient CRUD interface for the 'Airtable' API
 <https://airtable.com/developers/web/api>, supporting batch requests and
 parallel encoding of large data sets.

Package: r-cran-rajive
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-cowplot, r-cran-reshape2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rajive_1.0-1.ca2004.1_all.deb
Size: 220428
MD5sum: d171e11356df7151871888ccdbeb6747
SHA1: 4aeac16dc130c3ed6fad42748229435c992adcd0
SHA256: 89151f3d0b7ad7cadc612bbfde86166d97c651209ef331157fc98f4a083e9ecb
SHA512: 17270fdcd1586af3d9b99bd17d19eee3cc44d11d61ca7416d4455ba7eb98885f04a9987bb8255fa7c7c1711f0f0bc75faea226aff687a1408ba61b5792a0378e
Homepage: https://cran.r-project.org/package=RaJIVE
Description: CRAN Package 'RaJIVE' (Robust Angle Based Joint and Individual Variation Explained)
 A robust alternative to the aJIVE (angle based Joint and Individual
 Variation Explained) method (Feng et al 2018:
 <doi:10.1016/j.jmva.2018.03.008>) for the estimation of joint and individual
 components in the presence of outliers in multi-source data. It decomposes
 the multi-source data into joint, individual and residual (noise)
 contributions. The decomposition is robust to outliers and noise in the
 data. The method is illustrated in Ponzi et al (2021) <arXiv:2101.09110>.

Package: r-cran-raker
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ipfp, r-cran-wrswor
Suggests: r-cran-testthat, r-cran-readr
Filename: pool/dists/focal/main/r-cran-raker_0.2.1-1.ca2004.1_all.deb
Size: 39340
MD5sum: ee056888d8b59c816a069bc39b0fb861
SHA1: e1a50380763e4c4968cc884d533a9206cdb0ed6b
SHA256: 52de6282130913d83b27c2331d1dc2b4d05707742fcc31af06cf08c702f56fd5
SHA512: 9dbd9704f3945c69deb8529c72e3ca2e68a73d827b188eac4fe0c2bb9d889d62d01588530342d6851adfe90bdc02a432bc33f0878bf635213c8a83d2ad281648
Homepage: https://cran.r-project.org/package=rakeR
Description: CRAN Package 'rakeR' (Easy Spatial Microsimulation (Raking) in R)
 Functions for performing spatial microsimulation ('raking') in R.

Package: r-cran-ralger
Architecture: all
Version: 2.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-xml2, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-robotstxt, r-cran-crayon, r-cran-curl, r-cran-stringi
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ralger_2.2.4-1.ca2004.1_all.deb
Size: 114180
MD5sum: 63c4b53d2a570854490975f78e5a2605
SHA1: 4a6e2a7f547c677e0b2de5facea683707d1bf47c
SHA256: 32b2b4451e491c84931e390f0a28210e4632f2925e6858e1ea8c94e4dda9fc83
SHA512: 911d8ddf6ad320100ff461d606ee8474a974cb30fe425f9004a65db72b79837870bbef0def1f76cf39de2d25e9a579162f45c9ceaaa58b7a49c3ba7e1a30ce06
Homepage: https://cran.r-project.org/package=ralger
Description: CRAN Package 'ralger' (Easy Web Scraping)
 The goal of 'ralger' is to facilitate web scraping in R.

Package: r-cran-ralsa
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-dt, r-cran-haven, r-cran-hmisc, r-cran-data.table, r-cran-foreign, r-cran-ggplot2, r-cran-import, r-cran-openxlsx, r-cran-rclipboard, r-cran-readr, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyfiles, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ralsa_1.5.5-1.ca2004.1_all.deb
Size: 1253316
MD5sum: 02c252aa0e49ca781c11a115dd046c0f
SHA1: b3943c7f95e331778590a2250088cdadf64f779f
SHA256: d3e856f455640b856db4dc5ee961cddd7b7adac4799045fe32cd34e2fc715500
SHA512: 0e4f6e15a2c1df61e1d6fd192b2589a22990330eada26b40b57d43b179f85d4aa244ba9a9fe67f3ce2b70cc147ba7fbb0e622a2257229a03c7e5bb9adc3607be
Homepage: https://cran.r-project.org/package=RALSA
Description: CRAN Package 'RALSA' (R Analyzer for Large-Scale Assessments)
 Download, prepare and analyze data from large-scale assessments and surveys
 with complex sampling and assessment design (see 'Rutkowski', 2010
 <doi:10.3102/0013189X10363170>). Such studies are, for example,
 international assessments like 'TIMSS', 'PIRLS' and 'PISA'. A graphical
 interface is available for the non-technical user.The package includes
 functions to covert the original data from 'SPSS' into 'R' data sets keeping
 the user-defined missing values, merge data from different respondents
 and/or countries, generate variable dictionaries, modify data, produce
 descriptive statistics (percentages, means, percentiles, benchmarks) and
 multivariate statistics (correlations, linear regression, binary logistic
 regression). The number of supported studies and analysis types will
 increase in future. For a general presentation of the package, see
 'Mirazchiyski', 2021a (<doi:10.1186/s40536-021-00114-4>). For detailed
 technical aspects of the package, see 'Mirazchiyski', 2021b
 (<doi:10.3390/psych3020018>).

Package: r-cran-raltmetric
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rlist
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-magrittr, r-cran-purrr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-raltmetric_0.7.0-1.ca2004.1_all.deb
Size: 23272
MD5sum: 816045afad4e0f22ac356fcbc301cf38
SHA1: 9e64e91a93911a7a21c44af805bb7e637fa701ec
SHA256: 67b73ce7b0463da533137e2e8c2cb60c9afa87379c9e79e8400429b321f75fbd
SHA512: 0f59e6456885d08f849b418c44f8f83c59e3f418cde593c09df3e1622fdd0aaeab3bbc5979ebdda78ce2b87fbd7c97e37e388c2446a7984ab67b35bfdd2987a4
Homepage: https://cran.r-project.org/package=rAltmetric
Description: CRAN Package 'rAltmetric' (Retrieves Altmerics Data for Any Published Paper from'Altmetric.com')
 Provides a programmatic interface to the citation information and alternate
 metrics provided by 'Altmetric'. Data from Altmetric allows researchers to
 immediately track the impact of their published work, without having to wait
 for citations. This allows for faster engagement with the audience
 interested in your work. For more information, visit
 <https://www.altmetric.com/>.

Package: r-cran-ram
Architecture: all
Version: 1.2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4400
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-gplots, r-cran-plyr, r-cran-reshape2, r-cran-scales, r-cran-labdsv, r-cran-gridextra, r-cran-ggmap, r-cran-permute, r-cran-venndiagram, r-cran-data.table, r-cran-fd, r-cran-mass, r-cran-rgooglemaps, r-cran-lattice, r-cran-reshape, r-cran-ade4, r-cran-phangorn, r-cran-phytools, r-cran-ape
Suggests: r-cran-testthat, r-cran-mapproj, r-cran-gtable, r-cran-indicspecies, r-bioc-heatplus
Filename: pool/dists/focal/main/r-cran-ram_1.2.1.7-1.ca2004.1_all.deb
Size: 3896760
MD5sum: fb07d030b14f66dcf692d62bfb789896
SHA1: c7455597c5ab33c1d1d0b6a0014e4af0b9222c28
SHA256: 5f3158425b50f181d41db6bb9314e7d544fa52329b98f4318c7692f6545949f8
SHA512: 9641bf38752d47c412bdd13660255b25ccf5f9406bf1099e7d482873fd33ad6d686b7bd35921d62b9e255eb28b732d2d15d0c099fbe8e1365a59033308400d17
Homepage: https://cran.r-project.org/package=RAM
Description: CRAN Package 'RAM' (R for Amplicon-Sequencing-Based Microbial-Ecology)
 Characterizing environmental microbiota diversity using amplicon-based next
 generation sequencing (NGS) data. Functions are developed to manipulate
 operational taxonomic unit (OTU) table, perform descriptive and inferential
 statistics, and generate publication-quality plots.

Package: r-cran-ramanmp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-ggrepel, r-cran-imputets
Filename: pool/dists/focal/main/r-cran-ramanmp_1.0-1.ca2004.1_all.deb
Size: 4173412
MD5sum: 51dadc51ee5e7aeae202b61e02b8cc8d
SHA1: c7d4b9bae7de211872603aea1d994b5e7aace631
SHA256: 1102874744b209707ce1e76f906542f737d85a6601f20152aa6205809d36d4ee
SHA512: 92c81be6fa12c3d57cbfe558b2a6d4db62110b6236d16667929cca66a47b26713491c763eb50d5e04e4f071280bb6ab58a6c6ad38be59fb895f350925175c4c4
Homepage: https://cran.r-project.org/package=RamanMP
Description: CRAN Package 'RamanMP' (Analysis and Identification of Raman Spectra of Microplastics)
 Pre-processing and polymer identification of Raman spectra of plastics.
 Pre-processing includes normalisation functions, peak identification based
 on local maxima, smoothing process and removal of spectral region of no
 interest. Polymer identification can be performed using Pearson correlation
 coefficient or Euclidean distance (Renner et al. (2019),
 <doi:10.1016/j.trac.2018.12.004>), and the comparison can be done with a
 user-defined database or with the database already implemented in the
 package, which currently includes 356 spectra, with several spectra of
 plastic colorants.

Package: r-cran-ramble
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ramble_0.1.1-1.ca2004.1_all.deb
Size: 81912
MD5sum: 9dc8219f0d07a7289817093bdb488dc1
SHA1: 854ec96ef849649adf30a2f014b59b9f87233946
SHA256: 46090a29d49bdb71057c2dee7c5ea00dbe9bb910a7624b0aef10e2c72a067315
SHA512: 0b31b1924c3e0c66dc4f3a0cf32e86303b8e7704ae29b31b11a7acf2961651f05e1ac58f081943f1f718f9af76560ec8367740bb51ccffb0b0b36bb838c065c4
Homepage: https://cran.r-project.org/package=Ramble
Description: CRAN Package 'Ramble' (Parser Combinator for R)
 Parser generator for R using combinatory parsers. It is inspired by
 combinatory parsers developed in Haskell.

Package: r-cran-rambo
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sna
Filename: pool/dists/focal/main/r-cran-rambo_1.1.1-1.ca2004.1_all.deb
Size: 42332
MD5sum: 92c1c0407bf2a9ae11bcf41de1ca5112
SHA1: fc5b1d6feab49e9f7a90076ccdf4d9ec96b77554
SHA256: 4ee0a272a3b2875ddace1b7369b01c42a3cab43eed134c4b08ba20457b5c5c1b
SHA512: 906101464a9d5190b181c8b0880b294585c3766e25c9c4b31496dbc315c424857ca25aaba9443f10ecf53fa5da97e63b12dc0c92b0d034cf90bf9a4731017310
Homepage: https://cran.r-project.org/package=Rambo
Description: CRAN Package 'Rambo' (The Random Subgraph Model)
 Estimate the parameters, the number of classes and cluster vertices of a
 random network into groups with homogeneous connection profiles. The
 clustering is performed for directed graphs with typed edges (edges are
 assumed to be drawn from multinomial distributions) for which a partition of
 the vertices is available.

Package: r-cran-ramcharts4
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10924
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-reactr, r-cran-shiny, r-cran-jsonlite, r-cran-lubridate, r-cran-minpack.lm, r-cran-base64enc, r-cran-xml2, r-cran-stringr
Suggests: r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-ramcharts4_1.6.0-1.ca2004.1_all.deb
Size: 1692300
MD5sum: 7d76b448e352c627e38e41450aa61b64
SHA1: 796ea6f6ee42bb3a8ffd2fe3e5c980c59ce20066
SHA256: b2e5c038650b76d527ed70baa424aff65280414129faf3c272173f4a2c55f7fe
SHA512: 3f1686efdf49d63b5d820009d49a4a08848ce7646f65b84b62f1cfb67365ea2ee87cf4cdd53a127d2bf64484559800b89b91b3ad218e36833fd49744e8a5bccc
Homepage: https://cran.r-project.org/package=rAmCharts4
Description: CRAN Package 'rAmCharts4' (Interface to the JavaScript Library 'amCharts 4')
 Creates JavaScript charts. The charts can be included in 'Shiny' apps and R
 markdown documents, or viewed from the R console and 'RStudio' viewer. Based
 on the JavaScript library 'amCharts 4' and the R packages 'htmlwidgets' and
 'reactR'. Currently available types of chart are: vertical and horizontal
 bar chart, radial bar chart, stacked bar chart, vertical and horizontal
 Dumbbell chart, line chart, scatter chart, range area chart, gauge chart,
 boxplot chart, pie chart, and 100% stacked bar chart.

Package: r-cran-ramcharts
Architecture: all
Version: 2.1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-data.table, r-cran-piper, r-cran-knitr, r-cran-yaml, r-cran-zoo
Suggests: r-cran-magrittr, r-cran-shiny, r-cran-testthat, r-cran-shinydashboard, r-cran-base64enc, r-cran-lubridate, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ramcharts_2.1.16-1.ca2004.1_all.deb
Size: 3523964
MD5sum: b2a4fc62770b35b48f8cc8cdeec76002
SHA1: 8dd780268acf7a717e5cda20d0e5592c5fd94401
SHA256: 91a6c1a0c6464552d0c7d8a9023d905cccc2cb925d821a201944b30e103463ec
SHA512: 76dd0fdb59dd512ec6f0f2e266793b552ec3aaecefd4fd71db469ad8292090f9ecc2d65110fb2b380a587e997c44d9aa37f44bc47a82f881cdaa9bd7f182e507
Homepage: https://cran.r-project.org/package=rAmCharts
Description: CRAN Package 'rAmCharts' (JavaScript Charts Tool)
 Provides an R interface for using 'AmCharts' Library. Based on
 'htmlwidgets', it provides a global architecture to generate 'JavaScript'
 source code for charts. Most of classes in the library have their equivalent
 in R with S4 classes; for those classes, not all properties have been
 referenced but can easily be added in the constructors. Complex properties
 (e.g. 'JavaScript' object) can be passed as named list. See examples at
 <https://datastorm-open.github.io/introduction_ramcharts/> and
 <https://www.amcharts.com/> for more information about the library. The
 package includes the free version of 'AmCharts' Library. Its only limitation
 is a small link to the web site displayed on your charts. If you enjoy this
 library, do not hesitate to refer to this page
 <https://www.amcharts.com/online-store/> to purchase a licence, and thus
 support its creators and get a period of Priority Support. See also
 <https://www.amcharts.com/about/> for more information about 'AmCharts'
 company.

Package: r-cran-ramchoice
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ramchoice_2.2-1.ca2004.1_all.deb
Size: 144720
MD5sum: db944f9297ca031f5449560947050cf7
SHA1: d3e168404638138e66bdf4ad2848ff917a194453
SHA256: 9f0c89c267a3a352687e0dea41a20c1fe17ae659165e8fd5ab59ca0a5a26b0f4
SHA512: e097384f2b45330ad74563e47ad434e25a56f34f875c70464328a21674164bf063b2f36b2001e67dea7ec77ecfce5bd68c4343b0a164b305c6057ea9e8e19979
Homepage: https://cran.r-project.org/package=ramchoice
Description: CRAN Package 'ramchoice' (Revealed Preference and Attention Analysis in Random LimitedAttention Models)
 It is widely documented in psychology, economics and other disciplines that
 socio-economic agent may not pay full attention to all available
 alternatives, rendering standard revealed preference theory invalid. This
 package implements the estimation and inference procedures of Cattaneo, Ma,
 Masatlioglu and Suleymanov (2020) <arXiv:1712.03448> and Cattaneo, Cheung,
 Ma, and Masatlioglu (2022) <arXiv:2110.10650>, which utilizes standard
 choice data to partially identify and estimate a decision maker's preference
 and attention. For inference, several simulation-based critical values are
 provided.

Package: r-cran-ramclustr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1152
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dynamictreecut, r-cran-fastcluster, r-cran-httr, r-cran-jsonlite, r-cran-e1071, r-cran-gplots, r-bioc-pcamethods, r-cran-stringr, r-cran-webchem, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-xcms, r-cran-testthat, r-cran-patrick, r-bioc-msnbase, r-cran-interpretmsspectrum, r-cran-biocmanager, r-cran-xml2, r-cran-stringi, r-cran-readxl, r-cran-curl, r-cran-rentrez
Filename: pool/dists/focal/main/r-cran-ramclustr_1.3.1-1.ca2004.1_all.deb
Size: 1055776
MD5sum: d06eac502080d9d0688ae3c635466697
SHA1: d7995988ac691391cfc5199fa08112433abc5330
SHA256: e9f2fee5d56f8f1d19bd43798655dfa65e864a2156edf9aae3aad5c9f6da66fd
SHA512: ce3348f53daf6123c12729551a550c9592400a2501324c4d922b19064e2c0d767b73f5c78b05a571e5f742bf6e7b08f780bdcbfae7dc2a66e8836779504f2fc8
Homepage: https://cran.r-project.org/package=RAMClustR
Description: CRAN Package 'RAMClustR' (Mass Spectrometry Metabolomics Feature Clustering andInterpretation)
 A feature clustering algorithm for non-targeted mass spectrometric
 metabolomics data. This method is compatible with gas and liquid
 chromatography coupled mass spectrometry, including indiscriminant tandem
 mass spectrometry data <DOI: 10.1021/ac501530d>.

Package: r-cran-rameritrade
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-urltools, r-cran-lubridate, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rameritrade_0.1.5-1.ca2004.1_all.deb
Size: 80964
MD5sum: 05e7030496f2a74970cfe61a5a33d084
SHA1: f8809d940b09b6278d865e80b219d96c13226669
SHA256: 92b8024972055d90675854c5e389a4b10eb4cd996967abe4d9f1eccc0392a02a
SHA512: e19d8f9f8b0f59cba083f7770de73c2a8d07d4185112ca3596e930743c9e6a57df0b1756e2468be189395e25e4953b1cbbc6953f7c1fb54f5485c719678fe374
Homepage: https://cran.r-project.org/package=rameritrade
Description: CRAN Package 'rameritrade' ('TD Ameritrade' API Interface for R)
 Use R to interface with the 'TD Ameritrade' API
 <https://developer.tdameritrade.com/>.  Functions include authentication,
 trading, price requests, account information, and option chains. A user will
 need a TD brokerage account and TD Ameritrade developer app. See README for
 authentication process and examples.

Package: r-cran-ramify
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ramify_0.4.0-1.ca2004.1_all.deb
Size: 281948
MD5sum: e47226ab9262020b8dca9c1e44494d9b
SHA1: 629140cb691375a3efdc0d93b9e97d932a59e56f
SHA256: a0d01d444817558aa495bda263981cbe4238451657464f9a72b76cb6ea429ad9
SHA512: 033eb6df1aa160af11136b7df80142fd27a81b6c80d0c6ce59659e73cf789a1cb1c88a7686fbbf107c0b86fd4c7b47cb2ecb1106fba0e37218bdb4b92a068150
Homepage: https://cran.r-project.org/package=ramify
Description: CRAN Package 'ramify' (Additional Matrix Functionality)
 Additional matrix functionality for R including: (1) wrappers for the base
 matrix function that allow matrices to be created from character strings and
 lists (the former is especially useful for creating block matrices), (2)
 better printing of large matrices via the generic "pretty" print function,
 and (3) a number of convenience functions for users more familiar with other
 scientific languages like 'Julia', 'Matlab'/'Octave', or 'Python'+'NumPy'.

Package: r-cran-ramlegacy
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-httr, r-cran-rappdirs, r-cran-readxl
Suggests: r-cran-covr, r-cran-testthat, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ramlegacy_0.2.0-1.ca2004.1_all.deb
Size: 223568
MD5sum: f29b50ae2fa683cfab00fec580587ba0
SHA1: daf756539a9804a775e9290cbb8657ad0dabc35b
SHA256: 52746c16c63f710a9f76e7ddaf4d1e12db2ae9ba001794280bf545c6366fb811
SHA512: 242bcf900a0df9b3057b3f81fed15d83bb8c79fa4e9d35afab62f7d517a22902577f764d469bf4c32bbabccd1f695f3ecf0bc3b76979156763eef10378734eca
Homepage: https://cran.r-project.org/package=ramlegacy
Description: CRAN Package 'ramlegacy' (Download and Read RAM Legacy Stock Assessment Database)
 Contains functions to download, cache and read in 'Excel' version of the RAM
 Legacy Stock Assessment Data Base, an online compilation of stock assessment
 results for commercially exploited marine populations from around the world.
 The database is named after Dr. Ransom A. Myers whose original
 stock-recruitment database, is no longer being updated. More information
 about the database can be found at <https://ramlegacy.org/>. Ricard, D.,
 Minto, C., Jensen, O.P. and Baum, J.K. (2012)
 <doi:10.1111/j.1467-2979.2011.00435.x>.

Package: r-cran-rampath
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-ellipse, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rampath_0.5.1-1.ca2004.1_all.deb
Size: 229336
MD5sum: 6bd5229b07bb891a5d91e3e11e7a0522
SHA1: 71ee920cb4bba64c6c223e7857ecfa0ea2e991f2
SHA256: c02765cd9358184b2c6b75b4c35b073582026021411f6d8221aa1421986b9487
SHA512: c423972339c58eb0ffb762ae130fefd3f9256d6129abe4a50cbd604704caf4849e0b69791e6959bd4da600d6fb27f88235aa4b1282b80e3ace94fb4c654bc9ed
Homepage: https://cran.r-project.org/package=RAMpath
Description: CRAN Package 'RAMpath' (Structural Equation Modeling Using the Reticular Action Model(RAM) Notation)
 We rewrite of RAMpath software developed by John McArdle and Steven Boker as
 an R package. In addition to performing regular SEM analysis through the R
 package lavaan, RAMpath has unique features.  First, it can generate path
 diagrams according to a given model. Second, it can display path tracing
 rules through path diagrams and decompose total effects into their
 respective direct and indirect effects as well as decompose variance and
 covariance into individual bridges. Furthermore, RAMpath can fit dynamic
 system models automatically based on latent change scores and generate
 vector field plots based upon results obtained from a bivariate dynamic
 system. Starting version 0.4, RAMpath can conduct power analysis for both
 univariate and bivariate latent change score models.

Package: r-cran-ramps
Architecture: all
Version: 0.6.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-maps, r-cran-matrix, r-cran-nlme, r-cran-fields
Filename: pool/dists/focal/main/r-cran-ramps_0.6.18-1.ca2004.1_all.deb
Size: 298644
MD5sum: 1795a6c5d64a01e47c79a6b6e0fad926
SHA1: 01a4d204327e24f90d1b681b7123d4b1de5f6ddf
SHA256: 797e59263b0f63423a96b4596c929b1cf1240b48d37da0fb3cce902a65540134
SHA512: 4ae80cee0e27eddcb38f57965e23a22d9e5d2db67e2a9ded6f707378bb53b135f8dd2c8b1a5ba6db7e8272e801ec0d9780abb9dda851ad35ef138b42f0119150
Homepage: https://cran.r-project.org/package=ramps
Description: CRAN Package 'ramps' (Bayesian Geostatistical Modeling with RAMPS)
 Bayesian geostatistical modeling of Gaussian processes using a
 reparameterized and marginalized posterior sampling (RAMPS) algorithm
 designed to lower autocorrelation in MCMC samples.  Package performance is
 tuned for large spatial datasets.

Package: r-cran-rams
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3445
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-base64enc, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-ggplot2, r-cran-dplyr, r-cran-plotly, r-cran-openxlsx, r-cran-dbi, r-cran-rsqlite, r-cran-reticulate, r-bioc-biocparallel, r-bioc-spectra, r-cran-arrow, r-cran-microbenchmark, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-rams_1.4.3-1.ca2004.1_all.deb
Size: 2922076
MD5sum: fb2e5563cfaa0522da496350beae6375
SHA1: 6ff31842c615c8f4a4da0cc6e4a3926c5eee8c77
SHA256: 859a642ad31340c9a3f5b80192d1d2f76198c7c6c62012be9f39a107e1432703
SHA512: 2baa11f89e8eca24c8d979be28ce0dfbb84bf26e887f2f4b8c432f65e86c1b86249f66824d8c958d0ec662f02bfd4d9ecba81a38a0e41fd559e54991eb44f095
Homepage: https://cran.r-project.org/package=RaMS
Description: CRAN Package 'RaMS' (R Access to Mass-Spec Data)
 R-based access to mass-spectrometry (MS) data. While many packages exist to
 process MS data, many of these make it difficult to access the underlying
 mass-to-charge ratio (m/z), intensity, and retention time of the files
 themselves. This package is designed to format MS data in a tidy fashion and
 allows the user perform the plotting and analysis.

Package: r-cran-randchecks
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-randchecks_0.2.1-1.ca2004.1_all.deb
Size: 110680
MD5sum: d1116de01d0b83dbba683dbf16d19bd3
SHA1: a7cb3170e5378e3c1860beee30edaabe0bff5aad
SHA256: 4d8a773ecd29ab24a33e42199f657dd82202fb1824f0c9e3e1effc37eb27e0be
SHA512: 14d3748f7311eb4fa68c5f86ac27ef35948cb0bc7e1143891de383faa5c080d13b46ad45618ac379b5ab152caff7613a55cadccde673bcf893662c3b4ad6cfd2
Homepage: https://cran.r-project.org/package=randChecks
Description: CRAN Package 'randChecks' (Covariate Balance Checks: Randomization Tests and GraphicalDiagnostics)
 Provides randomization tests and graphical diagnostics for assessing
 randomized assignment and covariate balance for a binary treatment variable.
 See Branson (2021) <arXiv:1804.08760> for details.

Package: r-cran-randcorr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-randcorr_1.0-1.ca2004.1_all.deb
Size: 18480
MD5sum: 1eb8ad863b380f4aad933acf76cfdc52
SHA1: 56fbc3d8eb3851d3228eb06ce5d2bd1bdaeecdbe
SHA256: 9f8026698cbd49d2001c04d08d9e42c89de2cd98f575f3411235964bc705a7df
SHA512: e6f7b46a8316476dae576c911e40e49b061556d0612ff581e5646943a318acc1a0ba20e6e2b9dcff7217a53c35378169585c0374f32469d6e418fdd417ad783d
Homepage: https://cran.r-project.org/package=randcorr
Description: CRAN Package 'randcorr' (Generate a Random p x p Correlation Matrix)
 Implements the algorithm by Pourahmadi and Wang (2015)
 <doi:10.1016/j.spl.2015.06.015> for generating a random p x p correlation
 matrix. Briefly, the idea is to represent the correlation matrix using
 Cholesky factorization and p(p-1)/2 hyperspherical coordinates (i.e.,
 angles), sample the angles from a particular distribution and then convert
 to the standard correlation matrix form. The angles are sampled from a
 distribution with pdf proportional to sin^k(theta) (0 < theta < pi, k >= 1)
 using the efficient sampling algorithm described in Enes Makalic and Daniel
 F. Schmidt (2018) <arXiv:1809.05212>.

Package: r-cran-randgeo
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1108
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randgeo_0.3.0-1.ca2004.1_all.deb
Size: 342724
MD5sum: f4451e334a3e13a6cac1e3f3e6c389eb
SHA1: 06189a2f37b69aff485cb39883ad59abef2b807e
SHA256: 31d81414a901578c33213197ad3d78ae89b0aaf7b0c78753859441bf7fa9d052
SHA512: 4eb35032d96fea9c860057492ce494f59acd5c426d7182e842161425f697f62faa003264d634c290e54396b660553c2f4cf62509e82e85bdb036dee124fc1bbb
Homepage: https://cran.r-project.org/package=randgeo
Description: CRAN Package 'randgeo' (Generate Random 'WKT' or 'GeoJSON')
 Generate random positions (latitude/longitude), Well-known text ('WKT')
 points or polygons, or 'GeoJSON' points or polygons.

Package: r-cran-randmeta
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-randmeta_0.1.0-1.ca2004.1_all.deb
Size: 173432
MD5sum: f4f9812996a27aff457938a43790eaf9
SHA1: 9160678ce6e4c5f1d4ad81482066c6adbdbaaece
SHA256: e5e43f93ddb94ec3f4d8115e50f8197e6e06e8cced6eb6e7c2e9775a866a02b2
SHA512: 8a1eff1f2f67ba521c68da492316de5570f74b49fcec9d159d2ee1dc319d70b5813ad05e99a749b9a5116090e1a0eff840fd1d44ed2fee8519b6d6aa0c2a0c8f
Homepage: https://cran.r-project.org/package=RandMeta
Description: CRAN Package 'RandMeta' (Efficient Numerical Algorithm for Exact Inference in MetaAnalysis)
 A novel numerical algorithm that provides functionality for estimating the
 exact 95% confidence interval of the location parameter in the random
 effects model, and is much faster than the naive method. Works best when the
 number of studies is between 6-20.

Package: r-cran-randnames
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randnames_0.2.3-1.ca2004.1_all.deb
Size: 12120
MD5sum: a6f5d422672c9cbcceed4916a7fcecc4
SHA1: 5d6aaf02d0cd7574c5f69275e357858cff81056f
SHA256: fd7e156b0a5c2c07b07930094960b79f27c36d899c7bffc40388442e0c8cc567
SHA512: dd6b0e0429fe9f7f1a80cd94f2c89e00b5d6b48fe1fdc5dc9ac59f91f61b0e165939183c55c44e4064871a8612508f9d047f6a93121ad5df20967b58dd369d90
Homepage: https://cran.r-project.org/package=randNames
Description: CRAN Package 'randNames' (Package Provides Access to Fake User Data)
 Generates random names with additional information including fake SSNs,
 gender, location, zip, age, address, and nationality.

Package: r-cran-randnet
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-entropy, r-cran-auc, r-cran-sparseflmm, r-cran-mgcv, r-cran-powerlaw, r-cran-rspectra, r-cran-irlba, r-cran-pracma, r-cran-nnls, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-randnet_0.7-1.ca2004.1_all.deb
Size: 182480
MD5sum: 8b1ef96dadf9e4db0348eae0f97d85c2
SHA1: 3907b54b1b925e33562a67c6270c03a0520ffe56
SHA256: 67133bf87c0a26cf32d3010b0826fe765663c6ddaae10b020222d804714b647e
SHA512: b9e0a631b164e25a6244501c5fa37ab5d7eb988a59e2a57ec5953d5c04e0867d8164d3f84f094fd7d0f93aa0199a62a9deeb0d12c4bc617311318f2090227a28
Homepage: https://cran.r-project.org/package=randnet
Description: CRAN Package 'randnet' (Random Network Model Estimation, Selection and Parameter Tuning)
 Model selection and parameter tuning procedures for a class of random
 network models. The model selection can be done by a general
 cross-validation framework called ECV from Li et. al. (2016)
 <arXiv:1612.04717> . Several other model-based and task-specific methods are
 also included, such as NCV from Chen and Lei (2016) <arXiv:1411.1715>,
 likelihood ratio method from Wang and Bickel (2015) <arXiv:1502.02069>,
 spectral methods from Le and Levina (2015) <arXiv:1507.00827>. Many network
 analysis methods are also implemented, such as the regularized spectral
 clustering (Amini et. al. 2013 <doi:10.1214/13-AOS1138>) and its degree
 corrected version and graphon neighborhood smoothing (Zhang et. al. 2015
 <arXiv:1509.08588>). It also includes the consensus clustering of Gao et.
 al. (2014) <arXiv:1410.5837>, the method of moments estimation of nomination
 SBM of Li et. al. (2020) <arxiv:2008.03652>, and the network mixing method
 of Li and Le (2021) <arxiv:2106.02803>. It also includes the informative
 core-periphery data processing method of Miao and Li (2021)
 <arXiv:2101.06388>. The work to build and improve this package is partially
 supported by the NSF grants DMS-2015298 and DMS-2015134.

Package: r-cran-rando
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-rlang, r-cran-tibble
Suggests: r-cran-spelling, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rando_0.2.0-1.ca2004.1_all.deb
Size: 163784
MD5sum: ce70ce0fc4aa7dc85fec1b5457232440
SHA1: cd5149c9a535c61ef422cf31aecfae605a2e688b
SHA256: 9fa6ae7d0241ca219dbe3d568517609bb0752052945b788233d3ca14a258af92
SHA512: eab930f91384fa1e05db2232a473dfd9a462d443a61958503fe71a92d890b15da9b1a141f68a1b594caa1788e462f2acdafe7b507b89af54acbfe7aea7802732
Homepage: https://cran.r-project.org/package=rando
Description: CRAN Package 'rando' (Context Aware Random Numbers)
 Provides random number generating functions that are much more context aware
 than the built-in functions. The functions are also much safer, as they
 check for incompatible values, and more reproducible.

Package: r-cran-random.cdisc.data
Architecture: all
Version: 0.3.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-diffdf, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-random.cdisc.data_0.3.16-1.ca2004.1_all.deb
Size: 4802744
MD5sum: fb6fe544ba1e88d6ab9b1f2e6295c5ac
SHA1: 45f7bf06e248d57ed8e4902b09c9fd6f6c480f48
SHA256: 0fff55db2d895d763dd2a51f0b78e74d9ce0f56b76e36494eea4bb0118eeb4d1
SHA512: 1a978b57c938447697f9cdf8a0d6f4ce75e3733c4bba61146724751e2577709c06b236d99eb56b972c3a31b5c516c388d27522bc1d7a31316d4bf752360e08fc
Homepage: https://cran.r-project.org/package=random.cdisc.data
Description: CRAN Package 'random.cdisc.data' (Create Random ADaM Datasets)
 A set of functions to create random Analysis Data Model (ADaM) datasets and
 cached dataset.  ADaM dataset specifications are described by the Clinical
 Data Interchange Standards Consortium (CDISC) Analysis Data Model Team.

Package: r-cran-random.polychor.pa
Architecture: all
Version: 1.1.4-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-psych, r-cran-nfactors, r-cran-boot, r-cran-mass, r-cran-mvtnorm, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-random.polychor.pa_1.1.4-5-1.ca2004.1_all.deb
Size: 88312
MD5sum: db79f6655c1f4600a15d1ac7f6e3ae90
SHA1: b9e01a40b4de25a1c00c4f9e2d552ddea763ac21
SHA256: 663aeefd6a75350b99944b5c404eaf689537a603d345338a3cd9a5d452fa3c25
SHA512: 26f0bfa7eb04eafa9739bb6a975dd743be5a9f1d0d3c73550f5b50e2a3cd686209ceaee5b47d41fbac9b8ff040a0cd2e83383166433ae168adbec59b6e31a887
Homepage: https://cran.r-project.org/package=random.polychor.pa
Description: CRAN Package 'random.polychor.pa' (A Parallel Analysis with Polychoric Correlation Matrices)
 The Function performs a parallel analysis using simulated polychoric
 correlation matrices. The nth-percentile of the eigenvalues distribution
 obtained from both the randomly generated and the real data polychoric
 correlation matrices is returned. A plot comparing the two types of
 eigenvalues (real and simulated) will help determine the number of real
 eigenvalues that outperform random data. The function is based on the idea
 that if real data are non-normal and the polychoric correlation matrix is
 needed to perform a Factor Analysis, then the Parallel Analysis method used
 to choose a non-random number of factors should also be based on randomly
 generated polychoric correlation matrices and not on Pearson correlation
 matrices. Random data sets are simulated assuming or a uniform or a
 multinomial distribution or via the bootstrap method of resampling (i.e.,
 random permutations of cases). Also Multigroup Parallel analysis is made
 available for random (uniform and multinomial distribution and with or
 without difficulty factor) and bootstrap methods. An option to choose
 between default or full output is also available as well as a parameter to
 print Fit Statistics (Chi-squared, TLI, RMSEA, RMR and BIC) for the factor
 solutions indicated by the Parallel Analysis. Also weighted correlation
 matrices may be considered for PA.

Package: r-cran-random
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl
Filename: pool/dists/focal/main/r-cran-random_0.2.6-1.ca2004.1_all.deb
Size: 466176
MD5sum: 9ae7aeb5b97f290d3c985c383ec60988
SHA1: 08c62db25127cdec271e2a1fa632cbbfe982d83b
SHA256: e1c67f6949bedd22c8028b697e900bc705e7e2d8714e8434d63486323da7bea9
SHA512: 3d56818b2fc83fd658fdec6d21d0217344e656fa9cbcf8b32aeafb43906a9a7fc40bea607aea1dc9942a8d7c420c9f4219739883ed6c3b250d329c946f66bf20
Homepage: https://cran.r-project.org/package=random
Description: CRAN Package 'random' (True Random Numbers using RANDOM.ORG)
 The true random number service provided by the RANDOM.ORG website created by
 Mads Haahr samples atmospheric noise via radio tuned to an unused
 broadcasting frequency together with a skew correction algorithm due to John
 von Neumann.  More background is available in the included vignette based on
 an essay by Mads Haahr.  In its current form, the package offers functions
 to retrieve random integers, randomized sequences and random strings.

Package: r-cran-randomcoefficients
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall, r-cran-orthopolynom, r-cran-polynom, r-cran-fourierin, r-cran-sfsmisc, r-cran-tmvtnorm, r-cran-rdetools, r-cran-ks, r-cran-statmod, r-cran-rceim, r-cran-robustbase, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-randomcoefficients_0.0.2-1.ca2004.1_all.deb
Size: 221928
MD5sum: 634a262bf732a5e09a1e19f09372bba1
SHA1: 28a23d023b5b8796712926dc607e5482234a7a89
SHA256: 07ab35da3c36f9e700d390bbe2eca484477c73f274cf7f53613e9d2775e9b24a
SHA512: 305156a4b61cf5e587cfd65d1018344eea14b7528d98b03e81f3495b667c54a100b373e7479b4ce07612a73ac075df3c06a6a7bf77a5c823182893b3c39d9c1b
Homepage: https://cran.r-project.org/package=RandomCoefficients
Description: CRAN Package 'RandomCoefficients' (Adaptive Estimation in the Linear Random Coefficients Models)
 We implement adaptive estimation of the joint density linear model where the
 coefficients - intercept and slopes - are random and independent from
 regressors which support is a proper subset. The estimator proposed in
 Gaillac and Gautier (2019) <arXiv:1905.06584> is based on Prolate Spheroidal
 Wave Functions which are computed efficiently in 'RandomCoefficients'. This
 package also provides a parallel implementation of the estimator.

Package: r-cran-randomcolor
Architecture: all
Version: 1.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-stringr, r-cran-v8, r-cran-scales, r-cran-rtsne, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-randomcolor_1.1.0.1-1.ca2004.1_all.deb
Size: 25240
MD5sum: fc4938aa82bd113c92af0e4fa117068a
SHA1: 860ab7d8f7625907307f2afa8f8c3adaf3835391
SHA256: 6bcf560e09daba0a4c6e95d5dba5d0f697fabc4a37c57f549f8273866a561fc9
SHA512: 5b3e9e8804e0eef89c9a6da67449ddb40c32de46dcc34ee516c289d04314d46f7123ca3290abf866500bbc37f63fffbe6da921bbd31c0acf92e1ead821a2a824
Homepage: https://cran.r-project.org/package=randomcoloR
Description: CRAN Package 'randomcoloR' (Generate Attractive Random Colors)
 Simple methods to generate attractive random colors. The random colors are
 from a wrapper of 'randomColor.js'
 <https://github.com/davidmerfield/randomColor>. In addition, it also
 generates optimally distinct colors based on k-means (inspired by 'IWantHue'
 <https://github.com/medialab/iwanthue>).

Package: r-cran-randomforestexplainer
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 965
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggrepel, r-cran-randomforest, r-cran-reshape2, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randomforestexplainer_0.10.1-1.ca2004.1_all.deb
Size: 673820
MD5sum: 4d7b09d843dc685c86a234839ddc2c01
SHA1: 73c5f8bd52bfa69a803b06a5270664123fbf340e
SHA256: d714568fb7bacf0ed19962e9d13b4210772d77030a8470c04bb0cba9d5a24856
SHA512: f71a9d16e6c6146f857745c046c10a3848ec10a37264501e445193cc3b8b15ad1e68219a8b0415b1818d795842b6c3633406766793b32b12fda8cde0e6605425
Homepage: https://cran.r-project.org/package=randomForestExplainer
Description: CRAN Package 'randomForestExplainer' (Explaining and Visualizing Random Forests in Terms of VariableImportance)
 A set of tools to help explain which variables are most important in a
 random forests. Various variable importance measures are calculated and
 visualized in different settings in order to get an idea on how their
 importance changes depending on our criteria (Hemant Ishwaran and Udaya B.
 Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010)
 <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001)
 <doi:10.1023/A:1010933404324>).

Package: r-cran-randomforestvip
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-minerva, r-cran-randomforest, r-cran-tidyr
Suggests: r-cran-eztune, r-cran-e1071, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randomforestvip_0.1.3-1.ca2004.1_all.deb
Size: 236584
MD5sum: 3d20edaf573a40c1b073f0da9a7a3cb7
SHA1: fd68679d42d6e730cb9f788e9066c7247fe6644c
SHA256: 023c66eceef013144a3dfc954eaedcfc62662de50bf075f49de52e864cf9813b
SHA512: 1a78ee5c2e03b3b249fd99de30b7ca3cc062520fd508d851c3e3915cff572997e95dd66ca19aac032e6cc81de6bd1ca9b24a71bda8534e1cba529e093cb74195
Homepage: https://cran.r-project.org/package=randomForestVIP
Description: CRAN Package 'randomForestVIP' (Tune Random Forests Based on Variable Importance & Plot Results)
 Functions for assessing variable relations and associations prior to
 modeling with a Random Forest algorithm (although these are relevant for any
 predictive model).  Metrics such as partial correlations and variance
 inflation factors are tabulated as well as plotted for the user. A function
 is available for tuning the main Random Forest hyper-parameter based on
 model performance and variable importance metrics. This grid-search
 technique provides tables and plots showing the effect of the main
 hyper-parameter on each of the assessment metrics. It also returns each of
 the evaluated models to the user. The package also provides superior
 variable importance plots for individual models. All of the plots are
 developed so that the user has the ability to edit and improve further upon
 the plots. Derivations and methodology are described in Bladen (2022)
 <https://digitalcommons.usu.edu/etd/8587/>.

Package: r-cran-randomglm
Architecture: all
Version: 1.10-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3556
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-foreach, r-cran-doparallel, r-cran-hmisc, r-cran-geometry, r-cran-survival, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-randomglm_1.10-1-1.ca2004.1_all.deb
Size: 3611812
MD5sum: dac1897c3ae7d32bfd5881defa395b20
SHA1: ddbcb8200ae9dda0882e19219f91c12d5fd811a1
SHA256: 35f6947a77711115f2bf2f8e99a5468c2cc183cc4074adf4706aa8bbe0f12c4a
SHA512: e112a5fcbbf558740a78daae0606b04fbdc3a760c6d995c77ebde1df55ec4b538da74fad8bec640c497932e186916b612d94d01eb18a0d02ce901707e6ff7468
Homepage: https://cran.r-project.org/package=randomGLM
Description: CRAN Package 'randomGLM' (Random General Linear Model Prediction)
 A bagging predictor based on generalized linear models (GLMs) is
 implemented. The method is published in Song, Langfelder and Horvath (2013)
 <doi:10.1186/1471-2105-14-5>.

Package: r-cran-randomgodb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-minimalistgodb, r-bioc-go.db
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randomgodb_1.0-1.ca2004.1_all.deb
Size: 399496
MD5sum: 924d112f960c3f0bd2aae254a5f60eee
SHA1: 065623840940add12c077c85c9fa13cf8b9c4bd5
SHA256: ec8d37ccbea4981f03eb639b0ad2fb3f05164923e640abdf7874a0ebe75883e5
SHA512: 55289dae664fafa68654cb5a1bcafe9885237d7527583bab764e9c907eea1d0ce770f77773b8cf51c56e314ecf25fbc2aa51868c1da2264a566bd71e8a0e5e83
Homepage: https://cran.r-project.org/package=randomGODB
Description: CRAN Package 'randomGODB' (Random GO Database)
 The Gene Ontology (GO) Consortium <https://geneontology.org/> organizes
 genes into hierarchical categories based on biological process (BP),
 molecular function (MF) and cellular component (CC, i.e., subcellular
 localization). Tools such as 'GoMiner' (see Zeeberg, B.R., Feng, W., Wang,
 G. et al. (2003) <doi:10.1186/gb-2003-4-4-r28>) can leverage GO to perform
 ontological analysis of microarray and proteomics studies, typically
 generating a list of significant functional categories. The significance is
 traditionally determined by randomizing the input gene list to computing the
 false discovery rate (FDR) of the enrichment p-value for each category. We
 explore here the novel alternative of randomizing the GO database rather
 than the gene list.

Package: r-cran-randomizationinference
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-permute, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-randomizationinference_1.0.4-1.ca2004.1_all.deb
Size: 73800
MD5sum: d55fa941e4a531e4c9b4e69cbf274dbd
SHA1: 713755cef223ce3856402e7fd86f89760c8ddc0f
SHA256: 30a7dbf1a2ef341a4c25b132f6af29ae69081fd376843862141b58545b84c360
SHA512: db909c782241bf888b998354b8b0030e9a60a8d7232411082ceba2518dea548070f6355bf7235457ce8a0b8be3b7679ebe3c596d743ac840982af4700cf7468d
Homepage: https://cran.r-project.org/package=randomizationInference
Description: CRAN Package 'randomizationInference' (Flexible Randomization-Based Inference)
 Allows the user to conduct randomization-based inference for a wide variety
 of experimental scenarios. The package leverages a potential outcomes
 framework to output randomization-based p-values and null intervals for test
 statistics geared toward any estimands of interest, according to the
 specified null and alternative hypotheses. Users can define custom
 randomization schemes so that the randomization distributions are accurate
 for their experimental settings. The package also creates visualizations of
 randomization distributions and can test multiple test statistics
 simultaneously.

Package: r-cran-randomizebe
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-randomizebe_0.3-6-1.ca2004.1_all.deb
Size: 50408
MD5sum: 6cbe61cd39d5e2350f3a7439efc9b26d
SHA1: c8d216420da147a38067020f24b382ddbdeb25d4
SHA256: a7ea213934166097c413321f16fa2ca12b39e08d5636b836ff4fef8997088e77
SHA512: 0ad744664ffbe07697d008542d2fe6cf042da86b3867b6c8b9970a60cf67848c4aba0b0b9d2991bb275518eae7d7b787e6ac2af8b09c58479cd734054a564bb5
Homepage: https://cran.r-project.org/package=randomizeBE
Description: CRAN Package 'randomizeBE' (Create a Random List for Crossover Studies)
 Contains a function to randomize subjects, patients in groups of sequences
 (treatment sequences).  If a blocksize is given, the randomization will be
 done within blocks.  The randomization may be controlled by a Wald-Wolfowitz
 runs test.  Functions to obtain the p-value of that test are included.  The
 package is mainly intended for randomization of bioequivalence studies but
 may be used also for other clinical crossover studies.  Contains two helper
 functions sequences() and williams() to get the sequences of commonly used
 designs in BE studies.

Package: r-cran-randomizer
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1088
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-plotrix, r-cran-survival, r-cran-mvtnorm, r-cran-mstate, r-cran-purrr, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-coin, r-cran-pwrgsd, r-cran-gsdesign, r-cran-insight, r-cran-reshape2
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-randomizer_3.0.2-1.ca2004.1_all.deb
Size: 821244
MD5sum: dc45f5ae3b768c2386a9c879dbbd2de9
SHA1: 83de03f76c2776af46e8ad271580ab5427a6bd0f
SHA256: 6cdd693f0045a6502c82f6b4fd0fcbf5340b99824d0163890b12503aeca470ef
SHA512: 60408b487e05b3fc3d4cb1d32a24efe688f23a21c6563c99ff32b273fb676beb89669146ac958fc5c58ae731c17679920f63f140ba440caec3a958f8d75962a8
Homepage: https://cran.r-project.org/package=randomizeR
Description: CRAN Package 'randomizeR' (Randomization for Clinical Trials)
 This tool enables the user to choose a randomization procedure based on
 sound scientific criteria. It comprises the generation of randomization
 sequences as well the assessment of randomization procedures based on
 carefully selected criteria. Furthermore, 'randomizeR' provides a function
 for the comparison of randomization procedures.

Package: r-cran-randommachines
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-randommachines_0.1.0-1.ca2004.1_all.deb
Size: 297196
MD5sum: b8737e502153d012f90643b2d42d7a9c
SHA1: 4149acdedb1616b0cc5a3700f440c7ba9736ecc7
SHA256: 556b5434a6e75dac7a085da4a05749906e17207d1c3f5acafcfb6b6dca95c032
SHA512: 3d77bd182e90008ad8417a8153d4dbdd88b666186e4ac64daa3d31a408f56659b52c1fe27e1b8fe00ce1bfe2941d9231a1fd79ebc3d29ef15fa33ec8a0bd48c0
Homepage: https://cran.r-project.org/package=randomMachines
Description: CRAN Package 'randomMachines' (An Ensemble Modeling using Random Machines)
 A novel ensemble method employing Support Vector Machines (SVMs) as base
 learners. This powerful ensemble model is designed for both classification
 (Ara A., et. al, 2021) <doi:10.6339/21-JDS1014>, and regression (Ara A., et.
 al, 2021) <doi:10.1016/j.eswa.2022.117107> problems, offering versatility
 and robust performance across different datasets and compared with other
 consolidated methods as Random Forests (Maia M, et. al, 2021)
 <doi:10.6339/21-JDS1025>.

Package: r-cran-randomnames
Architecture: all
Version: 1.6-0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-data.table, r-cran-toordinal
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-randomnames_1.6-0.0-1.ca2004.1_all.deb
Size: 439076
MD5sum: dd8ad921da6fd0279af67f1c557aa830
SHA1: 3a5e90df425a0f11b2261a0dbbfd8530ce4f4681
SHA256: 9cf1053c316c50df52ab2c9be9934a1d062d4b624b26a8d243226d8cc9e9c630
SHA512: 0f92c3ad89a7f6c1f1a4e400b3fc30aae1ea490be8cc89d65a2679a1c1ed8b29344ede9dc2c9ab1bd2cf87aa9c3fbac540b600e161d09e85317399f7ee333063
Homepage: https://cran.r-project.org/package=randomNames
Description: CRAN Package 'randomNames' (Generate Random Given and Surnames)
 Function for generating random gender and ethnicity correct first and/or
 last names. Names are chosen proportionally based upon their probability of
 appearing in a large scale data base of real names.

Package: r-cran-randomprojectiontest
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-glue
Filename: pool/dists/focal/main/r-cran-randomprojectiontest_0.1.4-1.ca2004.1_all.deb
Size: 24156
MD5sum: 4269d82a262e250c99bc1a29a9c54f58
SHA1: fe53ab4ba1c51b457c2e3a52e6b118910e9a0faf
SHA256: c95bc4838e91dd305bed59dd45782d09f37b242572a8c14442df486c34fba21c
SHA512: 9eb9fcffe1b99c5e60d90ec7803d6cfdc2596c9a3c94e495eb0934a7c55fdfc7cf836aafbf745fab79e062d0c259fed31baaa004e91e61de74dd901818d9ac0a
Homepage: https://cran.r-project.org/package=RandomProjectionTest
Description: CRAN Package 'RandomProjectionTest' (Two-Sample Test in High Dimensions using Random Projection)
 Performs the random projection test (Lopes et al., (2011)
 <doi:10.48550/arXiv.1108.2401>) for the one-sample and two-sample hypothesis
 testing problem for equality of means in the high dimensional setting. We
 are interested in detecting the mean vector in the one-sample problem or the
 difference between mean vectors in the two-sample problem.

Package: r-cran-randomuseragent
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-randomuseragent_0.0.1-1.ca2004.1_all.deb
Size: 342968
MD5sum: 1432d0f61501ae3349b4c2a9a90d1547
SHA1: aa6b94ec5c2b908cb050c29698a432aeb8ccf7b9
SHA256: 8fbc0dc3d4383356bc407aa3c086a78b8928d2996369c199be19be71ee230e06
SHA512: bcc9cc20b6348e31ba18a1d4a7d9d4153955b15d34647c91274c0ecba0c58183926e932cc8d6776ef7f2e87db03828d2a09ec3ef2df9482aad622414db2194a6
Homepage: https://cran.r-project.org/package=Randomuseragent
Description: CRAN Package 'Randomuseragent' (Filtering and Randomly Sampling Real User-Agent Strings)
 Based on data of real user-agent strings, we can set filtering conditions
 and randomly sample user-agent strings from the user-agent string pool.

Package: r-cran-randomwalker
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 517
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-patchwork, r-cran-nns, r-cran-ggiraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-randomwalker_0.3.0-1.ca2004.1_all.deb
Size: 408760
MD5sum: 98e8a183ed128e381c52f852b293540b
SHA1: a669209ed2c74e7c66b0b804492d274a3b31e915
SHA256: a4b8fb49d7bfd88d3d597a794b45ef7d7e8dffc8542f937b481009c7f490b5ba
SHA512: f8bbbed1f827bdc44ef1cc0b663a38218b5e5ec88bbd3feed891b7c18f9fc7fad68cf1be00be7e57c4c6c0f3df041004a0ef4de13d42d2e0c3c273959102f7d4
Homepage: https://cran.r-project.org/package=RandomWalker
Description: CRAN Package 'RandomWalker' (Generate Random Walks Compatible with the 'tidyverse')
 Generates random walks of various types by providing a set of functions that
 are compatible with the 'tidyverse'. The functions provided in the package
 make it simple to create random walks with a variety of properties, such as
 how many simulations to run, how many steps to take, and the distribution of
 random walk itself.

Package: r-cran-randpedpca
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 871
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-spam, r-cran-matrix, r-cran-pedigreetools, r-cran-rspectra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-randpedpca_1.1.2-1.ca2004.1_all.deb
Size: 690820
MD5sum: b193f26540650cce1e916a209a659628
SHA1: a2a257a4a654ecfad34edf391ff3a4ff1828869f
SHA256: b289d9adfa4a2a3f54f40c90cbbab78e630d2e0b1dff420a6c9ac43180d18a16
SHA512: 0a06cc1d1a05adec7b467acaf026339d9501db72b97371cebbf41c56ab750b1054e1574593c2dd329fb777c5d4023a941ab7453c3bfa358ef71f1b1f40e87009
Homepage: https://cran.r-project.org/package=randPedPCA
Description: CRAN Package 'randPedPCA' (Fast PCA for Large Pedigrees)
 Carry out principal component analysis (PCA) of very large pedigrees such as
 found in breeding populations! This package exploits sparse matrices and
 randomised linear algebra to deliver a gazillion-times speed-up compared to
 naive singular value decoposition (SVD) (and eigen decomposition).

Package: r-cran-randpro
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-randpro_0.2.2-1.ca2004.1_all.deb
Size: 26236
MD5sum: 586e845ee31cddc646239ad3d28260a4
SHA1: 02f7569c70ffc2132dd6a3d39d8c49686c74b79c
SHA256: 3db1050d8ab88827c95d9ba30f7cde08e187ee119776801fd67948fce5b1a422
SHA512: d509d419103ea795ce8cdf6ecaf82a463a439d74461316b58c3efe4157550f5e174935a3636a9351947cd4bdb36cb1af69ea8ea5913490d02a62e790374ae36d
Homepage: https://cran.r-project.org/package=RandPro
Description: CRAN Package 'RandPro' (Random Projection with Classification)
 Performs random projection using Johnson-Lindenstrauss (JL) Lemma (see
 William B.Johnson and Joram Lindenstrauss (1984)
 <doi:10.1090/conm/026/737400>). Random Projection is a dimension reduction
 technique, where the data in the high dimensional space is projected into
 the low dimensional space using JL transform. The original high dimensional
 data matrix is multiplied with the low dimensional projection matrix which
 results in reduced matrix. The projection matrix can be generated using the
 projection function that is independent to the original data. Then finally
 apply the classification task on the projected data.

Package: r-cran-randquotes
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-xml2, r-cran-curl, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-randquotes_0.1.1-1.ca2004.1_all.deb
Size: 15428
MD5sum: eb1b615b23de7184a1276cc76e687241
SHA1: 573bcc755a86931d1e2621b60c0f59ee97fe50de
SHA256: 92912811ead9f09d3c6b5bfb495cc1fef18f52ac7883fbef157045e6cf194a27
SHA512: ea00233874bfc59f0dc2b6e9b92f70d879b79c0c389f2804ce1d6ad89abc421d5aa04ae51f5370239cab615393a054306db95df21905ae7030db392979ede5ba
Homepage: https://cran.r-project.org/package=randquotes
Description: CRAN Package 'randquotes' (Get Random Quotes from Quotes on Design API)
 Connects to the site <http://quotesondesign.com/> that uses the 'WordPress'
 built-in REST API to provide a way for you to grab quotes.

Package: r-cran-randtests
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-randtests_1.0.2-1.ca2004.1_all.deb
Size: 75148
MD5sum: 2c758e9af642576b0ec2e100a1790d45
SHA1: ad69e634d8cd9947d733422834c32473f9ce4fab
SHA256: f425f6a8615e04863e6e8afd196d9a599038c7102f154137b2740f1c2424f55d
SHA512: 3094f53378d4a3387dd0cafd9c769b90a39ed387c060f7b204d14b1b99780a8f0be8fd8dc752b155d74d82df94b9f15366fe15ffb2d53ad73e8c556aa98fd2c4
Homepage: https://cran.r-project.org/package=randtests
Description: CRAN Package 'randtests' (Testing Randomness in R)
 Provides several non parametric randomness tests for numeric sequences.

Package: r-cran-randvar
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-distrex, r-cran-startupmsg
Filename: pool/dists/focal/main/r-cran-randvar_1.2.5-1.ca2004.1_all.deb
Size: 528300
MD5sum: c5729c72abdf4ed56df738b4fce1d37e
SHA1: e1ac2c58aa21713a44ee12fdf7846b89608a4301
SHA256: 0248f98240bbeec6dfd4719b6a90336664d9fac3e7220a0d132501c129300df2
SHA512: f8187d8e3a00caaf7eeb62c2b33a5406bf18953bd7273822e0954bf03cf1c633bbb11b9e8c5aa04e91ccc80f16f0841d9f23ee3f63edf927fcee1b462d009db7
Homepage: https://cran.r-project.org/package=RandVar
Description: CRAN Package 'RandVar' (Implementation of Random Variables)
 Implements random variables by means of S4 classes and methods.

Package: r-cran-rang
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-parsedate, r-cran-fastmap, r-cran-jsonlite, r-cran-memoise, r-cran-pkgsearch, r-cran-remotes, r-cran-httr, r-cran-vctrs, r-cran-renv, r-cran-here
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rang_0.3.0-1.ca2004.1_all.deb
Size: 385796
MD5sum: 717839ddf542ab27c200d20842c21e37
SHA1: 3466b2aad2b7918de227e97225e19c8fbd07ad18
SHA256: c040425509e448d49bd1b1f4bae94d07489f76e4347661d6287a850706569482
SHA512: 4661d9e9a122d47e85abd20ce6fff38c62920c0a9873ba2f3497c86ef093cc4306b78c622e871afd91d70e7af088656ec6256ed64a6748238c75ba43abc6c5e9
Homepage: https://cran.r-project.org/package=rang
Description: CRAN Package 'rang' (Reconstructing Reproducible R Computational Environments)
 Resolve the dependency graph of R packages at a specific time point based on
 the information from various 'R-hub' web services <https://blog.r-hub.io/>.
 The dependency graph can then be used to reconstruct the R computational
 environment with 'Rocker' <https://rocker-project.org>.

Package: r-cran-rangemap
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2030
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-concaveman, r-cran-dplyr, r-cran-maps, r-cran-rnaturalearthdata, r-cran-raster, r-cran-rgdal, r-cran-rgeos, r-cran-rgl, r-cran-scales, r-cran-sf, r-cran-spatial, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rangemap_0.1.18-1.ca2004.1_all.deb
Size: 1582468
MD5sum: 587acdb00d39ee4e311d551b4c55a4f7
SHA1: 5e59ca69eb3936eb481f1a9a5eab70727886bde3
SHA256: 0cc990ec42382c0acaeb41a4a05cb637edc8329df910927c1c5b8ac6ddbbf68d
SHA512: 4a203533bd4721026b6c694d2e85203da440455e3b1ec72084a0fa9515feca1e223f762cb2c447560aff6f9c4712f1b6defa57877158223735092d303dc3f8d7
Homepage: https://cran.r-project.org/package=rangemap
Description: CRAN Package 'rangemap' (Simple Tools for Defining Species Ranges)
 A collection of tools to create species range maps based on occurrence data,
 statistics, and spatial objects. Other tools in this collection can be used
 to analyze the environmental characteristics of the species ranges. Plotting
 options to represent results in various manners are also available. Results
 obtained using these tools can be used to explore the distribution of
 species and define areas of occupancy and extent of occurrence of species.
 Other packages help to explore species distributions using distinct methods,
 but options presented in this set of tools (e.g., using trend surface
 analysis and concave hull polygons) are exclusive. Description of methods,
 approaches, and comments for some of the tools implemented here can be found
 in: IUCN (2001) <https://portals.iucn.org/library/node/10315>, Peterson et
 al. (2011) <https://www.degruyter.com/princetonup/view/title/506966>, and
 Graham and Hijmans (2006) <doi:10.1111/j.1466-8238.2006.00257.x>.

Package: r-cran-rangemapper
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1598
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glue, r-cran-future, r-cran-future.apply, r-cran-progressr, r-cran-sf, r-cran-rsqlite, r-cran-dbi, r-cran-magrittr, r-cran-data.table, r-cran-raster, r-cran-exactextractr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggplot2, r-cran-viridis, r-cran-rmarkdown, r-cran-pkgdown, r-cran-nlme, r-cran-igraph, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-rangemapper_2.0.3-1.ca2004.1_all.deb
Size: 943820
MD5sum: abe019c28786ba35a7a86c7adc14055e
SHA1: 169b7aab90b5a9c58fbee26b0e7f51641d84854c
SHA256: 279fd77e6e0e66f4875ef5f473a4f19f3ad29e1012fb115ac528733225f46dbf
SHA512: 54611b1ad6b6b51623a7e2d0708b9103daeb5692b9a800506384c5d9e3ec5933d9d73510dcb80bd26ba0c14498fb689384667aea6d47ae822529a0df0acf6d09
Homepage: https://cran.r-project.org/package=rangeMapper
Description: CRAN Package 'rangeMapper' (A Platform for the Study of Macro-Ecology of Life History Traits)
 Tools for generation of (life-history) traits and diversity maps on
 hexagonal or square grids. Valcu et al.(2012)
 <doi:10.1111/j.1466-8238.2011.00739.x>.

Package: r-cran-rangemodelmetadata
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 525
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-spocc, r-cran-bien, r-cran-terra
Suggests: r-cran-dismo, r-cran-googlesheets4, r-cran-knitr, r-cran-rmarkdown, r-cran-rgbif, r-cran-dplyr, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rangemodelmetadata_0.1.5-1.ca2004.1_all.deb
Size: 311908
MD5sum: 739cb331b8356a1ecc97363e1c1362c1
SHA1: 1ec37f18121c3d25926b251e8d0d48ed0fa97a54
SHA256: 51db56936c9109fbbda17b7f9d498a593df7491c9e910375bfb9b9c279836ebb
SHA512: cb926aafc93e86fcdde5e4ed851829acc579341970e5c0a09af2a805d16674e6461dae128302b6c8e48b21f5fad319c7d1087c4c65e12c97516ead6df10a4ed9
Homepage: https://cran.r-project.org/package=rangeModelMetadata
Description: CRAN Package 'rangeModelMetadata' (Provides Templates for Metadata Files Associated with SpeciesRange Models)
 Range Modeling Metadata Standards (RMMS) address three challenges: they (i)
 are designed for convenience to encourage use, (ii) accommodate a wide
 variety of applications, and (iii) are extensible to allow the community of
 range modelers to steer it as needed. RMMS are based on a data dictionary
 that specifies a hierarchical structure to catalog different aspects of the
 range modeling process.  The dictionary balances a constrained, minimalist
 vocabulary to improve standardization with flexibility for users to provide
 their own values.  Merow et al. (2019) <DOI:10.1111/geb.12993> describe the
 standards in more detail. Note that users who prefer to use the R package
 'ecospat' can obtain it from <https://github.com/ecospat/ecospat>.

Package: r-cran-rangemodelr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-rangemodelr_1.0.6-1.ca2004.1_all.deb
Size: 25200
MD5sum: 2c2e9860fdc43f4ef18892ce39d9df3a
SHA1: 80943e4f7479fddf97b0823108f50a08083df78e
SHA256: 4769e719b8e8ee7f271307e17792dbef9f62f5b12adeeb20192effc58a807a44
SHA512: 60f5ff9fb8c5e391c743d650423fc7f64542b00e3c35dbd5a11210683ec01a4ce0b582d79f3a7147519da09662a54e7f768a60aa324e43e727583b62473d8de1
Homepage: https://cran.r-project.org/package=rangemodelR
Description: CRAN Package 'rangemodelR' (Mid-Domain Effect and Species Richness)
 Used for generating randomized community matrices under strict range
 cohesion. The package can handle data where species occurrence are recorded
 across sites ordered along gradients such as elevation and latitude, as well
 as species occurrences recorded on spatial grids with known geographic
 coordinates.

Package: r-cran-ranglapunjab
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3703
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-shiny, r-cran-tidyverse
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ranglapunjab_2.3.4-1.ca2004.1_all.deb
Size: 2625652
MD5sum: 1c2d88fb462e12c4d67009b0e1734f31
SHA1: 6e1aa34cbc45e584f73f01fb426bc826a3bdfc8a
SHA256: b54d4ec281492972f704afb404557aebe5c714a5985a4914b37fa370bbee9b49
SHA512: bde41e48faa53a87916770377ae731d7388d5470084c5d0e2cf40df142d006cb185b85f8b6765dff06cfa9eb2701990c7daa4bf83a3ac075a81600c40314c511
Homepage: https://cran.r-project.org/package=RanglaPunjab
Description: CRAN Package 'RanglaPunjab' (Displays Palette of 5 Colors)
 Displays palette of 5 colors based on photos depicting the unique and
 vibrant culture of Punjab in Northern India. Since Punjab translates to
 ``Land of 5 Rivers'' there are 5 colors per palette. If users need more than
 5 colors, they can merge 2 to 3 palettes to create their own
 color-combination, or they can cherry-pick their own custom colors.  Users
 can view up to 3 palettes together. Users can also list all the palette
 choices. And last but not least, users can see the photo that inspired a
 particular palette.

Package: r-cran-rangr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2258
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pbapply, r-cran-zoo, r-cran-terra, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-rangr_1.0.7-1.ca2004.1_all.deb
Size: 1575776
MD5sum: a86479d8a9a0fd671ffacc116149fc19
SHA1: ae90cb81aec653e7bb48cc049bef169e75073d78
SHA256: 61be810c7d1128e5627f06857c7a5bf454fe32b213fd0d4421c577ef7758c7ec
SHA512: f78d2894fc8379a4a4f1a9b4692a474a1e2128bc8be89bb8fefac5c8440fc28daa278195d06907b193e6b2448f2f5587f66bb3a89acea5cdd76d7bbd5016d3b3
Homepage: https://cran.r-project.org/package=rangr
Description: CRAN Package 'rangr' (Mechanistic Simulation of Species Range Dynamics)
 Integrates population dynamics and dispersal into a mechanistic virtual
 species simulator. The package can be used to study the effects of
 environmental change on population growth and range shifts. It allows for
 simple and straightforward definition of population dynamics (including
 positive density dependence), extensive possibilities for defining dispersal
 kernels, and the ability to generate virtual ecologist data. Learn more
 about the 'rangr' at <https://docs.ropensci.org/rangr/>.

Package: r-cran-rank
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rank_0.1.1-1.ca2004.1_all.deb
Size: 27308
MD5sum: f44cb05aab5e4d249b2f1587fd656080
SHA1: 1b4ea300384412f27017a9765ae54266cd49314e
SHA256: bf21d2a32c03a25a92824f20a36289426d2093c7a2d5411f52bdb0f3218dba08
SHA512: a960151f0476efd0030ace2e9cb83cc3c8c16df793273e3d08ed1574b92023f971001b0e4f22c8f3a0e3808ba6a121198ad228c575e4c57f60bb6499cb6fc9cf
Homepage: https://cran.r-project.org/package=rank
Description: CRAN Package 'rank' (Customisable Ranking of Numerical and Categorical Data)
 Provides a flexible alternative to the built-in rank() function called
 smartrank().  Optionally rank categorical variables by frequency (instead of
 in alphabetical order), and control whether ranking is based on
 descending/ascending order.  smartrank() is suitable for both numerical and
 categorical data.

Package: r-cran-rankaggregator
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rankaggregator_0.0.1-1.ca2004.1_all.deb
Size: 48416
MD5sum: 441e6410cb59b8df3b079c6e3e768b02
SHA1: 17c39aba4568808209c574ddd2b868b8a5c33101
SHA256: ad6b539740d3257a603b9ff140709d7f983ed4ec2079ddf112bc128e985ee516
SHA512: b7e9094ca242fe6218552fa2802f3cdd35dfc28253b5dfc8dee40e8eb8363e262d478138c7392c0de1fa82195552d754e6179ca30dbcb856c3315af5fa45172d
Homepage: https://cran.r-project.org/package=RankAggregator
Description: CRAN Package 'RankAggregator' (Aggregation of (Partial) Ordinal Rankings)
 Easily compute an aggregate ranking (also called a median ranking or a
 consensus ranking) according to the axiomatic approach presented by Cook et
 al. (2007). This approach minimises the number of violations between all
 candidate consensus rankings and all input (partial) rankings, and draws on
 a branch and bound algorithm and a heuristic algorithm to drastically
 improve speed. The package also provides an option to bootstrap a consensus
 ranking based on resampling input rankings (with replacement). Input
 rankings can be either incomplete (partial) or complete.  Reference: Cook,
 W.D., Golany, B., Penn, M. and Raviv, T. (2007)
 <doi:10.1016/j.cor.2005.05.030>.

Package: r-cran-rankcorr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-rankicc
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-rankcorr_1.0.3-1.ca2004.1_all.deb
Size: 50220
MD5sum: 62898cb84290838506ea17d51b730af1
SHA1: e76fd40f18cb27bc90db3822a247eda1bd2791a8
SHA256: acc6f16bd7be8ad072d4cba689cd00617877528b94906b601d46b4bbe4b9d288
SHA512: dcfd2af01e5dbaeaecfd607c66029060c8e0702b9c39211ee9ae68c2a7e63c79bba0bc9b1367cdea3a19e4b8c424b5a556cd8f3404a31903e99c40cce4916250
Homepage: https://cran.r-project.org/package=rankCorr
Description: CRAN Package 'rankCorr' (Total, Between-, and Within-Cluster Spearman Rank Correlationsfor Clustered Data)
 Estimates the total, between-, and within-cluster Spearman rank correlations
 for continuous and ordinal clustered data. See Tu et al. (2024)
 <DOI:10.1002/sim.10326> for details.

Package: r-cran-rankdifferencetest
Architecture: all
Version: 2025.4.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-coin, r-cran-modeltools
Suggests: r-cran-testit, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rankdifferencetest_2025.4.21-1.ca2004.1_all.deb
Size: 29032
MD5sum: f645b2ad9242a166f843d5460d1dd83c
SHA1: c653d94b796f2d399533356c6b5240abc498251b
SHA256: d2558fda80b52680d1ba01991ee97130d9f4eee31252f33a24f8c4350080fdda
SHA512: 76784e555147512f4a0b59de586a3a30f333df28dffcd0abd346eb74091977430ecf4f9b0c77c59800b079a88b3a2b43a7f95ea63f2c87ab018e97075518a0c4
Homepage: https://cran.r-project.org/package=rankdifferencetest
Description: CRAN Package 'rankdifferencetest' (Kornbrot's Rank Difference Test)
 Implements Kornbrot's rank difference test as described in
 <doi:10.1111/j.2044-8317.1990.tb00939.x>. This method is a modified Wilcoxon
 signed-rank test which produces consistent and meaningful results for
 ordinal or monotonically-transformed data.

Package: r-cran-rankfd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-coin, r-cran-multcomp, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-rankfd_0.1.1-1.ca2004.1_all.deb
Size: 128172
MD5sum: 264dac242a918db6dbe2a3345c523183
SHA1: d4c521bec665ffeef64ac49f68859a837558df32
SHA256: a69a7e72df691fa2cbfe78b433aa23fe4bba6be2669a64bd2bc26c2ae397a9af
SHA512: 48332f911635751d3645792a98b95d9a864ad89e3a7b3349ee01c5afb201fbfd9009a786966b904326c7ad19a4018587a972ada0d4b8c340436fceff383f31b5
Homepage: https://cran.r-project.org/package=rankFD
Description: CRAN Package 'rankFD' (Rank-Based Tests for General Factorial Designs)
 The rankFD() function calculates the Wald-type statistic (WTS) and the
 ANOVA-type statistic (ATS) for nonparametric factorial designs, e.g., for
 count, ordinal or score data in a crossed design with an arbitrary number of
 factors.  Brunner, E., Bathke, A. and Konietschke, F. (2018)
 <doi:10.1007/978-3-030-02914-2>.

Package: r-cran-rankhazard
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Suggests: r-cran-rms
Filename: pool/dists/focal/main/r-cran-rankhazard_1.1.1-1.ca2004.1_all.deb
Size: 74764
MD5sum: 7bd018a52bd6e1b2e7a67907b31c2249
SHA1: 13cad08721075c2473ec9bd730d15e2c7905efab
SHA256: 5d6b6c4bf46d108b02b83ddd20d49534c061440028565cc96e11b8eb46372f3a
SHA512: 99855c049e5ce4cdd74b19843a3d0855d8c18e3d7a31da116bf336f8f683855f2f8eba977816d747082a33a624ea96ab16e41538c70e1af78b3c4e172d64def7
Homepage: https://cran.r-project.org/package=rankhazard
Description: CRAN Package 'rankhazard' (Rank-Hazard Plots)
 Rank-hazard plots Karvanen and Harrell (2009) <DOI:10.1002/sim.3591>
 visualize the relative importance of covariates in a proportional hazards
 model. The key idea is to rank the covariate values and plot the relative
 hazard as a function of ranks scaled to interval [0,1]. The relative hazard
 is plotted in respect to the reference hazard, which can bee.g. the hazard
 related to the median of the covariate.

Package: r-cran-rankicc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rankicc_1.0.2-1.ca2004.1_all.deb
Size: 48232
MD5sum: 4fa9cbea6159b80bb1b4fc5aac91af1f
SHA1: ba77fb8dabbeba50d82d48a5b89c414d92516f31
SHA256: 2ab306b29bc9569d42e5a6818ef24a99c1d26f024fa0719a3daafdce3bfc9c0e
SHA512: beb907165cb6f32d036686ae0d079670382ec02be7e7b47c01c7e962c34f31b5e83c2d2080e41419d002fad6406a425607d6098e2a0a78030665956c29e5bf62
Homepage: https://cran.r-project.org/package=rankICC
Description: CRAN Package 'rankICC' (Rank Intraclass Correlation for Clustered Data)
 Estimates the rank intraclass correlation coefficient (ICC) for clustered
 continuous and ordinal data. See Tu et al. (2023) <DOI:10.1002/sim.9864> for
 details.

Package: r-cran-rankingproject
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1679
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tikzdevice, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rankingproject_0.4.0-1.ca2004.1_all.deb
Size: 905460
MD5sum: 6bd8ce0d4ebc37b404d0e655bb6d79f2
SHA1: 3d5b49c962957445bcd5019cbbc6dd95c7adb5b5
SHA256: 7e0f94a048812089e29a7d4b2ec431742d262d7fc2af763a6ca3bdd466e2e2c8
SHA512: a32fecc83d14a5aa7a2fef0cbd26a4774f6e95fc0f804ba275ce13a6576baecb1a57168fc6536df2171ef740529fb48f6377b78ec674489b45e38c8f56e18c2f
Homepage: https://cran.r-project.org/package=RankingProject
Description: CRAN Package 'RankingProject' (The Ranking Project: Visualizations for Comparing Populations)
 Functions to generate plots and tables for comparing independently- sampled
 populations. Companion package to "A Primer on Visualizations for Comparing
 Populations, Including the Issue of Overlapping Confidence Intervals" by
 Wright, Klein, and Wieczorek (2019) <DOI:10.1080/00031305.2017.1392359> and
 "A Joint Confidence Region for an Overall Ranking of Populations" by Klein,
 Wright, and Wieczorek (2020) <DOI:10.1111/rssc.12402>.

Package: r-cran-rankinma
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-netmeta
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rankinma_0.2.2-1.ca2004.1_all.deb
Size: 231148
MD5sum: 13c41f6cb9601cc16854ea9d80cd02c9
SHA1: 32c1fa1fd6d76026c8510c2ca7f6e85baedc2d58
SHA256: fe9573b93bd0816b62dd3f7d492f3af79419d06fd9abd4fa67ec57c835821a5c
SHA512: 8f4d772a212503530a730324b3d21fbeaa499464057bc3c0f94d0c0fb383c1ec83236fd30ac4fcacdbdf26c55e074f93fd6c1a267ae22bbe31bbd6eddc173f45
Homepage: https://cran.r-project.org/package=rankinma
Description: CRAN Package 'rankinma' (Rank in Network Meta-Analysis)
 A supportive collection of functions for gathering and plotting treatment
 ranking metrics after network meta-analysis.

Package: r-cran-rankinplot
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-viridis
Filename: pool/dists/focal/main/r-cran-rankinplot_1.1.0-1.ca2004.1_all.deb
Size: 26556
MD5sum: 1cf8e7955662e9008237ac87ef2781ab
SHA1: 1e6ca9efe53e885ae8539204dd448c5014bc4a5c
SHA256: c11650d9af0d2d84beeb13908b8712f8b0034cd22b9eef9978f7a657a0e1ab0d
SHA512: a0d6d557d6a2d6e286c9357bf697089f88ee348fb4515392cb06af26a39d043c510cc0351d31cd395117d21cf8b71394c3eb850d16b08ea020593ca708ea33db
Homepage: https://cran.r-project.org/package=rankinPlot
Description: CRAN Package 'rankinPlot' (Convenient Plotting for the Modified Rankin Scale and OtherOrdinal Outcome Data)
 Provides convenient tools for visualising ordinal outcome data following the
 "Grotta Bar" approach pioneered by The National Institute of Neurological
 Disorders and Stroke rt-PA Stroke Study Group (1995)
 <doi:10.1056/NEJM199512143332401>.

Package: r-cran-rankpca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret
Filename: pool/dists/focal/main/r-cran-rankpca_0.1.0-1.ca2004.1_all.deb
Size: 16640
MD5sum: 6f16496c85edcfaa3d6bc36330dff010
SHA1: 384290685127fb1e93d13108840b8cd8fe2298ed
SHA256: 4ceebd3a7645a299cb05078b3f49b254885d9f98895896bd666d59bae2484d48
SHA512: e96ed8cd5da14d399a63ee2cd3fe70952bfed9bc4f878827264b8e95500ddf9dd4cbf91c4e9c1113a9a5a40b9531f34a90aa6df9fc619765ccee02301008a6ca
Homepage: https://cran.r-project.org/package=RankPCA
Description: CRAN Package 'RankPCA' (Rank of Variables Based on Principal Component Analysis forMixed Data Types)
 Principal Component Analysis (PCA) is a statistical technique used to reduce
 the dimensionality of a dataset while preserving as much variability as
 possible. By transforming the original variables into a new set of
 uncorrelated variables called principal components, PCA helps in identifying
 patterns and simplifying the complexity of high-dimensional data. The
 'RankPCA' package provides a streamlined workflow for performing PCA on
 datasets containing both categorical and continuous variables. It
 facilitates data preprocessing, encoding of categorical variables, and
 computes PCA to determine the optimal number of principal components based
 on a specified variance threshold. The package also computes composite
 indices for ranking observations, which can be useful for various analytical
 purposes. Garai, S., & Paul, R. K. (2023) <doi:10.1016/j.iswa.2023.200202>.

Package: r-cran-rankrate
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 456
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools, r-cran-isotone
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-ggplot2, r-cran-pander, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-rankrate_1.2.1-1.ca2004.1_all.deb
Size: 281216
MD5sum: f4af56c06ec7d1420df333d16775cf6d
SHA1: 22a7d72be07dfdf6c4d167595360bab535a0affa
SHA256: 57d6cf20594641276ec5b871fa9b9b05532522c3de0ad50488fcbd1a42f9e8ad
SHA512: 0e294c0df5a6afb4c84ff1149f1327225d9126b962ee2192ac2084998d3d880a8cb696a2062c7f0f4e712a6386b82918fe1be3fa640de13742dc8d1dcfbd417c
Homepage: https://cran.r-project.org/package=rankrate
Description: CRAN Package 'rankrate' (Joint Statistical Models for Preference Learning with Rankingsand Ratings)
 Statistical tools for the Mallows-Binomial model, the first joint
 statistical model for preference learning for rankings and ratings. This
 project was supported by the National Science Foundation under Grant No.
 2019901.

Package: r-cran-rankresponse
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rankresponse_4.0.0-1.ca2004.1_all.deb
Size: 42000
MD5sum: 4479c6828ea29cb3b16893ffe837d68f
SHA1: 03bfd4b24963145d11b049648f756d96e46cbbd1
SHA256: 83d1c8b5825846d6d946f9ba65fe797d43150da42a2bbec393ecf182b91d0ea7
SHA512: 481e8a5686721db93f6a54b88c7954029804854cf56636657bbfa020398cd9674dac03a99fbe7d2bfd34f5e9333ef9f9d05b2f347f857680a275ae8a51e396f5
Homepage: https://cran.r-project.org/package=RankResponse
Description: CRAN Package 'RankResponse' (Ranking Responses in a Single Response Question or a MultipleResponse Question)
 Methods for ranking responses of a single response question or a multiple
 response question are described in the two papers: 1. Wang, H. (2008).
 Ranking Responses in Multiple-Choice Questions. Journal of Applied
 Statistics, 35, 465-474. <DOI:10.1080/02664760801924533> 2. Wang, H. and
 Huang, W. H. (2014). Bayesian Ranking Responses in Multiple Response
 Questions. Journal of the Royal Statistical Society: Series A (Statistics in
 Society), 177, 191-208. <DOI:10.1111/rssa.12009>.

Package: r-cran-ransac
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ransac_0.1.0-1.ca2004.1_all.deb
Size: 207552
MD5sum: e459ffb26a9486474adc4956cf4ed873
SHA1: 53bff6e3dada467fa2788f7b8c82c00f37008fac
SHA256: 69c802a48a91fad48d975ed86c2d7b4236818ddfd0c6a485207bb1685c76aaf5
SHA512: 3872d2cfc756f9ab25f6400482ae757eb7c7b46834d2d2e0b6d899ec07c5829f968997f2d0e9525cbc208318149afbbf2bf311f771be58b6191750376f91eb53
Homepage: https://cran.r-project.org/package=RANSAC
Description: CRAN Package 'RANSAC' (Robust Model Fitting Using the RANSAC Algorithm)
 Provides tools for robust regression model fitting using the RANSAC (Random
 Sample Consensus) algorithm. RANSAC is an iterative method to estimate
 parameters of a model from a dataset that contains outliers. This package
 allows fitting both linear lm and nonlinear nls models using RANSAC, helping
 users obtain more reliable models in the presence of noisy or corrupted
 data. The methods are particularly useful in contexts where traditional
 least squares regression fails due to the influence of outliers.
 Implementations include support for performance metrics such as RMSE, MAE,
 and R² based on the inlier subset. For further details, see Fischler and
 Bolles (1981) <doi:10.1145/358669.358692>.

Package: r-cran-rap
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rap_1.1-1.ca2004.1_all.deb
Size: 15948
MD5sum: bfb7c5b786395f35ef128596d4a80027
SHA1: 54710d63dfe3a8214b345a2aa5733caad5c13110
SHA256: 0893b4b50323f8dc94492ded6fc676c597b624e8ea9dbd4b84495b34e071524f
SHA512: 08976af2cebefa45f480d58278624918ab5ce453d3b63cc3d410d80ab3d71be0415e0db3437640ca30831cd2131324323897082e55a905c944804ff0524fd0be
Homepage: https://cran.r-project.org/package=RAP
Description: CRAN Package 'RAP' (Reversal Association Pattern)
 To find the reversal association between variables.

Package: r-cran-rapbase
Architecture: all
Version: 1.24.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 774
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-blob, r-cran-bookdown, r-cran-dbi, r-cran-digest, r-cran-dplyr, r-cran-dt, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpivottable, r-cran-sendmailr, r-cran-shiny, r-cran-shinyalert, r-cran-sship, r-cran-yaml
Suggests: r-cran-httptest, r-cran-lifecycle, r-cran-rvest, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rapbase_1.24.2-1.ca2004.1_all.deb
Size: 360120
MD5sum: f1f867ff5a8fce37b189987c228e11a5
SHA1: 75ee4087dfdda975dd83c151f9498a2903ca7453
SHA256: 2c0259e5842a31a14b03b50f181d946b0d3e42b5b8659adafc2caa0a0c1ac241
SHA512: 04a9f6a40cdb759f52e2ed18d3da7081dd8ac77dc86248b426028117d2b412ed1e1ef1f61db69f1dd5265607bd228d4e059c3001291ebb738561c9c6d6fe3d13
Homepage: https://cran.r-project.org/package=rapbase
Description: CRAN Package 'rapbase' (Base Functions and Resources for Rapporteket)
 Provide common functions and resources for registry specific R-packages at
 Rapporteket
 <https://rapporteket.github.io/rapporteket/articles/short_introduction.html>.
 This package is relevant for developers of packages/registries at
 Rapporteket.

Package: r-cran-rapiclient
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rapiclient_0.1.8-1.ca2004.1_all.deb
Size: 85024
MD5sum: 775a206b01e22899bef8dece9c805dce
SHA1: 040d9eb11f85a08b42b1882f2382cf1ab07c5990
SHA256: 77b2b5390eeea0b09239fc9d74a663bb7e2a29a7bf53be60e1a468e07b37654d
SHA512: 1cb6108323f89d9ca186b7027afe75a266f358227d55b1085a4bc3bbd0b2b98b3d47124e693cd0764edbbfeb338e7cdfe2a4667e55669700490b23169b3cca9f
Homepage: https://cran.r-project.org/package=rapiclient
Description: CRAN Package 'rapiclient' (Dynamic OpenAPI/Swagger Client)
 Access services specified in OpenAPI (formerly Swagger) format.  It is not a
 code generator. Client is generated dynamically as a list of R functions.

Package: r-cran-rapidoc
Architecture: all
Version: 9.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 803
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-plumber, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rapidoc_9.3.4-1.ca2004.1_all.deb
Size: 223976
MD5sum: 3407f2e5ea2dbe49207d23814b26e947
SHA1: a6e3607468d896bb9d9b4fc0c7019d9d6ef78eeb
SHA256: 84943844025f27a771aa2e603e1b6090545a6f1f8d6e5b995f78c05cc789761b
SHA512: 60adb8f7cfc0fc3303e0c88401ec83dd3ca698a3115638bedc03c7eed77f8272204af1565b768d435bd0a5c2f8e10cddc0e2300dec2165133b3c6766457ffc17
Homepage: https://cran.r-project.org/package=rapidoc
Description: CRAN Package 'rapidoc' (Generates 'RapiDoc' Documentation from an 'OpenAPI'Specification)
 A collection of 'HTML', 'JavaScript', 'CSS' and fonts assets that generate
 'RapiDoc' documentation from an 'OpenAPI' Specification:
 <https://mrin9.github.io/RapiDoc/>.

Package: r-cran-rapidopgs
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4702
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rcurl, r-cran-curl, r-cran-magrittr, r-cran-dplyr, r-bioc-genomicranges, r-bioc-iranges, r-cran-bigsnpr, r-cran-coloc, r-cran-bigreadr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rapidopgs_2.3.1-1.ca2004.1_all.deb
Size: 4640552
MD5sum: 483ffc1e5d3a8477abf6032b091d0ee1
SHA1: fc4bb455da99613698e290000f9b08526b170767
SHA256: fc92a51faa0a846433a862f975111d1feda7e136ec692f37fbaa5d198999ee88
SHA512: e31a507fa120e746239553baa396fde62d0fa2099e29b44528e932eb2165a576fa4a00b96e81fa01fa8ec6db8b2021eb86401a1768443975ac1fa9af5a23e03a
Homepage: https://cran.r-project.org/package=RapidoPGS
Description: CRAN Package 'RapidoPGS' (A Fast and Light Package to Compute Polygenic Risk Scores)
 Quickly computes polygenic scores from GWAS summary statistics of either
 case-control or quantitative traits without parameter tuning. Reales,G.,
 Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392>
 "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without
 a test dataset".

Package: r-cran-rapidphylo
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-phangorn
Filename: pool/dists/focal/main/r-cran-rapidphylo_0.1.2-1.ca2004.1_all.deb
Size: 148104
MD5sum: 72d3cfe18680e08545c3a610b60c6155
SHA1: 1d8ca163b08b252fe044a203f410f4454a440184
SHA256: 59081c3a0159b9ba9f375691dfc49aa5ac960b9750a6465b8211a5cbaf9e8a2c
SHA512: 02ef2a90c4df8bd31fc20e1a2d06e632ef402b058ae58eb541a3916ecad80d89d595b38112f6c354166088425efaf65f3fdc68cc9c0f6f51c3461bbe95041581
Homepage: https://cran.r-project.org/package=rapidphylo
Description: CRAN Package 'rapidphylo' (Rapidly Estimates Phylogeny from Large Allele Frequency DataUsing Root Distances Method)
 Rapidly estimates tree-topology from large allele frequency data using Root
 Distances Method, under a Brownian Motion Model. See Peng et al. (2021)
 <doi:10.1016/j.ympev.2021.107142>.

Package: r-cran-rapidpolygonlookup
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3020
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-rann, r-cran-pbsmapping, r-cran-rgooglemaps
Filename: pool/dists/focal/main/r-cran-rapidpolygonlookup_0.1.1-1.ca2004.1_all.deb
Size: 3001424
MD5sum: 96de2739b65eed8d0f4b48b7698ca6fe
SHA1: 015147a1b106ca2cf7b37b4513f4f1c717d8cf4b
SHA256: 31d5039b98e264f1e1f3b6c1ee861d8a42e3ff52d3dda5328fd8bb3a3d3d89a9
SHA512: bd7efbbb6847158fc1bd7b3ecdcee60fdb303f1ca151eb65148d88d1d414fb68fd520e0228673a853d3189c08503e6d5604ecf4c94c77b59ca6902591c030807
Homepage: https://cran.r-project.org/package=RapidPolygonLookup
Description: CRAN Package 'RapidPolygonLookup' (POLYGON LOOKUP USING KD TREES)
 Facilitates efficient polygon search using kd trees.  Coordinate level
 spatial data can be aggregated to higher geographical identities like census
 blocks, ZIP codes or police district boundaries.  This process requires
 mapping each point in the given data set to a particular identity of the
 desired geographical hierarchy. Unless efficient data structures are used,
 this can be a daunting task. The operation point.in.polygon() from the
 package sp is computationally expensive.  Here, we exploit kd-trees as
 efficient nearest neighbor search algorithm to dramatically reduce the
 effective number of polygons being searched.

Package: r-cran-rapidr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 560
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-genomicranges, r-bioc-genomicalignments, r-cran-propcis
Suggests: r-bioc-bsgenome.hsapiens.ucsc.hg19
Filename: pool/dists/focal/main/r-cran-rapidr_0.1.1-1.ca2004.1_all.deb
Size: 500312
MD5sum: a9058f59b54bef1d10b218ad4dd98f10
SHA1: f63e180c05b8c7e1eb56b4f2cad453ffcdf65d17
SHA256: adc31ba741102787aeb8159faa042bfe4de8dabb1f2f679ba2a29d564d32a682
SHA512: de012cb39eb1d5d1a2d756bb0760a5f22231bcda73b1a36b8492c4f4590179c78256a0e1f262b6be93ce275e1c579ab47f91e8562566970df9a20cd91f44e200
Homepage: https://cran.r-project.org/package=RAPIDR
Description: CRAN Package 'RAPIDR' (Reliable Accurate Prenatal non-Invasive Diagnosis R package)
 Package to perform non-invasive fetal testing for aneuploidies using
 sequencing count data from cell-free DNA

Package: r-cran-rapidraker
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-opennlpdata, r-cran-slowraker
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rapidraker_0.1.3-1.ca2004.1_all.deb
Size: 1092932
MD5sum: d2a22b30fd7b835ed5a0fe448c0f7b6a
SHA1: 1501839b19f5be329d8dcae250a75d31b270850d
SHA256: 6736c0f14e58a2f8b7c2a9961b63fe4b91281abae81b184868ee6372c35d7ecb
SHA512: eb2cdd388bfba654114cdcbc7941cc9d615342586b232f7e753c0710b860c507b5ad6b10b277dc5a2390de0a0fb5a35971f203e140dbd54ba2c77b2fa69ad474
Homepage: https://cran.r-project.org/package=rapidraker
Description: CRAN Package 'rapidraker' (Rapid Automatic Keyword Extraction (RAKE) Algorithm)
 A 'Java' implementation of the RAKE algorithm ('Rose', S., 'Engel', D.,
 'Cramer', N. and 'Cowley', W. (2010) <doi:10.1002/9780470689646.ch1>), which
 can be used to extract keywords from documents without any training data.

Package: r-cran-rapidxmlr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rapidxmlr_0.1.0-1.ca2004.1_all.deb
Size: 28668
MD5sum: 8cac1c71a7e7a8c8d4ffa1d98e7a44ff
SHA1: 86a1be1f89cf8cde2eb83a9775389a0e52f4931e
SHA256: 8f360a00c578c95fefd34a52f8b12c26312559fd612e8c4570de200d6eb8f9ed
SHA512: b9ac4d223a971c6d7a3734bb89daae9158d8882e28ed12192c39640d197e971f82c4f03174523878640122458bb5025aa0ac89cc2488fe57ca99be70fecd5889
Homepage: https://cran.r-project.org/package=rapidxmlr
Description: CRAN Package 'rapidxmlr' ('Rapidxml' C++ Header Files)
 Provides XML parsing capability through the 'Rapidxml' 'C++' header-only
 library.

Package: r-cran-rapp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3380
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rapp_0.2.0-1.ca2004.1_all.deb
Size: 1192520
MD5sum: 96bb0b81f7df3d104afa118ddf994b97
SHA1: a343dc6d28a9f880e30b57c0157a89ff8ea886a7
SHA256: 18fe1e05e67cecadd96b78261a8a65cf371327c49cab8df1c2554ae68576536e
SHA512: ab2c564e33ce3322289fbd79f92a8767ba393b676b2cbf5683b3ac72ac2719bef95293af921dea1fd9ec2f6fa2b48819b149431a3dfd8843575c7ec4009fd14e
Homepage: https://cran.r-project.org/package=Rapp
Description: CRAN Package 'Rapp' (Easily Build Command Line Applications)
 Run simple 'R' scripts as command line applications, with automatic robust
 and convenient support for command line arguments.  This package provides
 'Rapp', an alternative 'R' front-end similar to 'Rscript', that enables
 this.

Package: r-cran-rapport
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yaml, r-cran-stringr, r-cran-rapportools, r-cran-pander
Filename: pool/dists/focal/main/r-cran-rapport_1.2-1.ca2004.1_all.deb
Size: 698896
MD5sum: b6eef5ef369ec932264f6c4ada41ca2a
SHA1: edcee8ad80ca6c774e0e5561bfb94e1070e75d66
SHA256: b059c531efb41a8dd4758ca26c333e08574fcf6894ffb27f38d834a9961a0e5c
SHA512: 866d9d88b1cd24a4e7b34516957664ec3f9b0705b600ce1de3c11a05d9bfa940e57edc70ab6b512a11ae5fc252cf45ed992e366b32448d4729d17f0bfe8d702c
Homepage: https://cran.r-project.org/package=rapport
Description: CRAN Package 'rapport' (A Report Templating System)
 Facilitating the creation of reproducible statistical report templates. Once
 created, rapport templates can be exported to various external formats
 (HTML, LaTeX, PDF, ODT etc.) with pandoc as the converter backend.

Package: r-cran-rapportools
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-pander, r-cran-reshape2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rapportools_1.2-1.ca2004.1_all.deb
Size: 127360
MD5sum: fd2918d99a38ba735d2aab0eff8faea3
SHA1: 2d3eec8730436db1ef87050580707b19cd6e0087
SHA256: c80d77b64e1deedf35e81b8176fe594b5ca95ce5e6e725a9ccbb6034254f9851
SHA512: b67549108c67420377d5f72c94cef3b51e0d48687ab634bef09c849652c3bf676be26ecf0f7a40235a61ab2ce42902d2fe42f04444b660b045e1b759367baf43
Homepage: https://cran.r-project.org/package=rapportools
Description: CRAN Package 'rapportools' (Miscellaneous (Stats) Helper Functions with Sane Defaults forReporting)
 Helper functions that act as wrappers to more advanced statistical methods
 with the advantage of having sane defaults for quick reporting.

Package: r-cran-rappsflyer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-stringr, r-cran-retry, r-cran-dplyr, r-cran-tidyr, r-cran-lgr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rappsflyer_0.2.0-1.ca2004.1_all.deb
Size: 150848
MD5sum: a8b6ec6464806f600db38b299daf845e
SHA1: 25be98eee485d4f09782f2c923e099a482725835
SHA256: 70a92b9bafabfa867d533b2e7be553f7dfacbbbc8ab760d53bd1900a5563b609
SHA512: a09b87208d4f9fd6ed1900cf67d7b510b19b39e55634f3aa85eb84a2cfb7c0563051f41a46da04a16eed5345c8858ba65a97fc26d1c9de78f4ac9a9c89db3e50
Homepage: https://cran.r-project.org/package=rappsflyer
Description: CRAN Package 'rappsflyer' (Work with AppsFlyer API)
 Loading data from AppsFlyer Pull API
 <https://support.appsflyer.com/hc/en-us/articles/207034346-Using-Pull-API-aggregate-data>.

Package: r-cran-rapr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra
Suggests: r-cran-sf, r-cran-httr, r-cran-leaflet, r-cran-gifski, r-cran-litedown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-rapr_1.0.0-1.ca2004.1_all.deb
Size: 366460
MD5sum: 44703e1a6aa22c8241cf55e19b5c844d
SHA1: c269fafb6bc67742b65929486adb9a30eb38a66d
SHA256: a6c82e82a1107519c0be98bb24e6c374e151da9829b727f748bf50970af6f6a7
SHA512: 2932d32e0666f331b8e85f41e133884a5e3fed126e12337f29046604f28005c268b06984c9f6eb5f05459cc747a3b555a3a725fd72d27bfbd4d81a51abd4632c
Homepage: https://cran.r-project.org/package=rapr
Description: CRAN Package 'rapr' (Interface to 'Rangeland Analysis Platform' (RAP) Products)
 Provides access to 'Rangeland Analysis Platform' (RAP) products
 <https://rangelands.app/products> for arbitrary extents via 'GDAL' virtual
 file system.

Package: r-cran-rapsimng
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 771
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-dbi, r-cran-rsqlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rapsimng_0.4.4-1.ca2004.1_all.deb
Size: 244200
MD5sum: f58c9d514b1e5460e353c1dba054f22e
SHA1: 9ba5fcb5d61e19669fea3dc43dcfd7d44960fc71
SHA256: aa426bf40bc7cf27ca1db69606341ba2f6e51ea401518bfeb228ecdaaa3855d4
SHA512: 99282f8dbc1d80a13944fba601cc2b35c32cc0465da58770bc3c45ea250537c5e23cedbbb321ab3ea25d7387236a1549055acc1978610bdbf420c44a7ce5e9e9
Homepage: https://cran.r-project.org/package=rapsimng
Description: CRAN Package 'rapsimng' (APSIM Next Generation)
 The Agricultural Production Systems sIMulator ('APSIM') is a widely used to
 simulate the agricultural systems for multiple crops. This package is
 designed to create, modify and run 'apsimx' files in the 'APSIM' Next
 Generation <https://www.apsim.info/>.

Package: r-cran-raptor
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-raptor_1.0.1-1.ca2004.1_all.deb
Size: 340720
MD5sum: f359ef7bd8bdb6928c732524f8301790
SHA1: 2627a48561ca7717d778996163ea1e6e2ad0ce7a
SHA256: 3533024f0d112ed3f986e0294a4410aec87e77840f9da96f1e09d2eec1544e42
SHA512: 843a2d929459204dc9719fb5a579aae68b534c6aa24d4b8750c1e79c6662a432a04ca26025ebcc7cf3991eef7992ee0525f019a323a942d44b4b12ae4d589d27
Homepage: https://cran.r-project.org/package=RAPTOR
Description: CRAN Package 'RAPTOR' (Row and Position Tracheid Organizer)
 Performs wood cell anatomical data analyses on spatially explicit xylem
 (tracheids) datasets derived from thin sections of woody tissue. The package
 includes functions for visualisation, detection and alignment of continuous
 tracheid radial file (defined as rows) and individual tracheid position
 within an annual ring of coniferous species. This package is designed to be
 used with elaborate cell output, e.g. as provided with ROXAS (von Arx &
 Carrer, 2014 <doi:10.1016/j.dendro.2013.12.001>). The package has been
 validated for Picea abies, Larix Siberica, Pinus cembra and Pinus
 sylvestris.

Package: r-cran-raqs
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-httr2
Suggests: r-cran-data.table, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-raqs_1.0.2-1.ca2004.1_all.deb
Size: 194180
MD5sum: f4a0e8c52b2e706df2a8481637e25e70
SHA1: 81cdd14b6075cfe8a7bbdaa22593bba9d30287c0
SHA256: e00020a161db808e056992ab21e1cb4ae8d1b23167f9349abaf709d8f0b24bec
SHA512: 89876075b2574603c5f9a0e9c7a93fe875ef01744be44931b6d45a5d77c28a1081f2470dff31949bf1f2d50f4d43f417994ee24b33b023e5eb1d2cd26f945ca2
Homepage: https://cran.r-project.org/package=raqs
Description: CRAN Package 'raqs' (Interface to the US EPA Air Quality System (AQS) API)
 Offers functions for fetching JSON data from the US EPA Air Quality System
 (AQS) API with options to comply with the API rate limits.  See
 <https://aqs.epa.gov/aqsweb/documents/data_api.html> for details of the AQS
 API.

Package: r-cran-raqsapi
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-devtools, r-cran-keyring, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-raqsapi_2.0.5-1.ca2004.1_all.deb
Size: 680732
MD5sum: 75e2e55941ad9d840a77031921c49513
SHA1: cbdbd57fa9476b16c07f7765462fa3fe900c6b6f
SHA256: 14832985c2bde72273110f121425c224fc402db5a3948031f230b741c7ceaf91
SHA512: a7fd7f0e0d9058409a144e296b7870c04b44dd1ae2c52537268b19b30b41d4b4c4f4b3bbd029c89ddcf5357e09125b6695928d78eb8d0309c1b21dd52c5880cc
Homepage: https://cran.r-project.org/package=RAQSAPI
Description: CRAN Package 'RAQSAPI' (A Simple Interface to the US EPA Air Quality System Data MartAPI)
 Retrieve air monitoring data and associated metadata from the US
 Environmental Protection Agency's Air Quality System service using
 functions.  See <https://aqs.epa.gov/aqsweb/documents/data_api.html> for
 details about the US EPA Data Mart API.

Package: r-cran-raquifer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-magrittr, r-cran-dplyr, r-cran-pracma, r-cran-gsl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-raquifer_0.1.0-1.ca2004.1_all.deb
Size: 113260
MD5sum: 4eb42a51d75be11b86161c6d20203aa5
SHA1: 6ef46b7a8a48c2f332e17d80718d8bbd6a9f5a8a
SHA256: e410c72da205661b05507a31644a7727e05caccf390fe583464b1e4f89a95fbe
SHA512: 3a802f240feffb9da8517b24ed52acd35685325ac6ab023d864f4da18d04e1d6429725828ed2c12f142458d0594588f46fc6e5739eef05e9c02f82735d1b2bf3
Homepage: https://cran.r-project.org/package=Raquifer
Description: CRAN Package 'Raquifer' (Estimate the Water Influx into Hydrocarbon Reservoirs)
 Generate a table of cumulative water influx into hydrocarbon reservoirs over
 time using un-steady and pseudo-steady state models. Van Everdingen, A. F.
 and Hurst, W. (1949) <doi:10.2118/949305-G>. Fetkovich, M. J. (1971)
 <doi:10.2118/2603-PA>. Yildiz, T. and Khosravi, A. (2007)
 <doi:10.2118/103283-PA>.

Package: r-cran-rarecomb
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-arules, r-cran-dplyr, r-cran-pwr, r-cran-stringr, r-cran-tidyr, r-cran-reshape2, r-cran-sqldf
Filename: pool/dists/focal/main/r-cran-rarecomb_1.1-1.ca2004.1_all.deb
Size: 245624
MD5sum: 9eb1b8ef940db03df8b686d7b2753d44
SHA1: 6f462bb763eb3be37fbbfd245625186de0334717
SHA256: c41aa23a49354a2a47fc60931864539b4b898cd0b1f91b3a6c182fced64905b4
SHA512: b44a37d81319c6bc293ab8ed1cb543004939ceb127411a5e156149ab7561efcb497eb948480288b241957665e0abb3b5302002afdac068995ef006099e01d963
Homepage: https://cran.r-project.org/package=RareComb
Description: CRAN Package 'RareComb' (Combinatorial and Statistical Analyses of Rare Events)
 A custom implementation of the apriori algorithm and binomial tests to
 identify combinations of features (genes, variants etc) significantly
 enriched for simultaneous mutations/events from sparse Boolean input, see
 Vijay Kumar Pounraja, Santhosh Girirajan (2021). Version 1.1 includes a
 minor adjustment to the number of combinations to be considered for multiple
 testing correction. This updated version is more conservative in its
 approach and hence more selective. <doi:10.1101/2021.10.01.462832>.

Package: r-cran-rarefy
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ade4, r-cran-adiv, r-cran-ape, r-cran-dplyr, r-cran-geiger, r-cran-vegan
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-phyloregion, r-cran-picante, r-cran-phytools, r-cran-raster, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rarefy_1.1.1-1.ca2004.1_all.deb
Size: 389164
MD5sum: dcfadfbc14949906bde423b46faf502b
SHA1: 085810af08525cfdfc845cbd0859a38f73c56856
SHA256: dafb62ef76156a5cc186706f65a006e209a3839105ac1373bec5d506647d167a
SHA512: 86ea8cdf6a4f8a5af3a6af648601fb765449765bd5b34f2f01f1d88c45085a478507f0cca83d0dfbfa1b17bb7f8ea86e16fb9a3c4bfdb207a49568f352b0e034
Homepage: https://cran.r-project.org/package=Rarefy
Description: CRAN Package 'Rarefy' (Rarefaction Methods)
 Includes functions for the calculation of spatially and non-spatially
 explicit rarefaction curves using different indices of taxonomic, functional
 and phylogenetic diversity. The user can also rarefy any biodiversity metric
 as provided by a self-written function (or an already existent one) that
 gives as output a vector with the values of a certain index of biodiversity
 calculated per plot (Ricotta, C., Acosta, A., Bacaro, G., Carboni, M.,
 Chiarucci, A., Rocchini, D., Pavoine, S. (2019)
 <doi:10.1016/j.ecolind.2019.105606>; Bacaro, G., Altobelli, A., Cameletti,
 M., Ciccarelli, D., Martellos, S., Palmer, M. W., … Chiarucci, A. (2016)
 <doi:10.1016/j.ecolind.2016.04.026>; Bacaro, G., Rocchini, D., Ghisla, A.,
 Marcantonio, M., Neteler, M., & Chiarucci, A. (2012)
 <doi:10.1016/j.ecocom.2012.05.007>).

Package: r-cran-rarege
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-survey
Filename: pool/dists/focal/main/r-cran-rarege_0.1-1.ca2004.1_all.deb
Size: 71632
MD5sum: 43b3a0b7ed8102402d57d35cdd2d62f7
SHA1: d94d70b7c54e50e6a03334cbd727c0924f886b2f
SHA256: 251ac2560a1d3d6cde3320e618c439fce36e534b632e104b0dbd36903e39ad3b
SHA512: cc6bfea830c8b42ab39d5bb40ac2f8a2f353e2807d3cd2a0727a713026c58948b9096f4e0627274c1ad9926f7bc796d0c1138adb155e2813b5689db13d526d06
Homepage: https://cran.r-project.org/package=rareGE
Description: CRAN Package 'rareGE' (Testing Gene-Environment Interaction for Rare Genetic Variants)
 Tests gene-environment interaction for rare genetic variants using Sequence
 Kernel Association Test (SKAT) type gene-based tests. Includes two tests for
 the interaction term only, and one joint test for genetic main effects and
 gene-environment interaction.

Package: r-cran-rarenmtests
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-rarenmtests_1.2-1.ca2004.1_all.deb
Size: 115960
MD5sum: 9843011d5cbee2d63192914ff16b5413
SHA1: 98e42babdbfbd56dea29fa8ffe8f90eeac4745cb
SHA256: cc563788fcbc6cb8dcb1eeedd5eea060316431faafdb77222ec2386bda8b8fe3
SHA512: e6245ae835f3c3f3d6a2f29198ddfadba4dd22ae85d9a148a468a9cfd78ebe2f5a2535ad1e4cbe3da644d44cacce4d21193338a08b44b2461d75b48f722383fd
Homepage: https://cran.r-project.org/package=rareNMtests
Description: CRAN Package 'rareNMtests' (Ecological and Biogeographical Null Model Tests for ComparingRarefaction Curves)
 Randomization tests for the statistical comparison of i = two or more
 individual-based, sample-based or coverage-based rarefaction curves. The
 ecological null hypothesis is that the i samples were all drawn randomly
 from a single assemblage, with (necessarily) a single underlying species
 abundance distribution. The biogeographic null hypothesis is that the i
 samples were all drawn from different assemblages that, nonetheless, share
 similar species richness and species abundance distributions. Functions are
 described in L. Cayuela, N.J. Gotelli & R.K. Colwell (2015)
 <doi:10.1890/14-1261.1>.

Package: r-cran-rarestr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rarestr_1.1.1-1.ca2004.1_all.deb
Size: 64628
MD5sum: f5b3d674204fb8f3f30436812c6335b1
SHA1: db34453f2d3b3292b892b483a36b9472e98f59ca
SHA256: a05758daaa16dbbc434a7b08f55ee3d5b5aa0b3bc7603c0e73cfe991277aae2b
SHA512: a533233f543b49d774adcc58110524b34cb5fb1e7848832b41c7088d3756a4519726e7afc328170a4623d52bac00a151c88238d76fb01f1c2ee1569170d8cb1c
Homepage: https://cran.r-project.org/package=rarestR
Description: CRAN Package 'rarestR' (Rarefaction-Based Species Richness Estimator)
 Calculate rarefaction-based alpha- and beta-diversity. Offer parametric
 extrapolation to estimate the total expected species in a single community
 and the total expected shared species between two communities. Visualize the
 curve-fitting for these estimators.

Package: r-cran-rarfreq
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-latex2exp, r-cran-magrittr, r-cran-patchwork, r-cran-tidyr, r-cran-data.table, r-cran-reshape2, r-cran-rdpack
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rarfreq_0.1.5-1.ca2004.1_all.deb
Size: 200804
MD5sum: 9cce3288af6bf4a9260e2b174d522a46
SHA1: 36bfbd5ac73194d366ff409fbe700989e5eb1803
SHA256: 06ed43b61cc92a545e6a9f682f84d97de53dfc632cacf198f61ca0edc144e5da
SHA512: 58a76923489fa52fe40fca09ec64be4a2466c8e543547ca98d274bfe4cea9e62d029ce8cc412089fff1a618499b756ab2e747a1461af7e6932887314d409d732
Homepage: https://cran.r-project.org/package=RARfreq
Description: CRAN Package 'RARfreq' (Response Adaptive Randomization with 'Frequentist' Approaches)
 Provides functions and command-line user interface to generate allocation
 sequence by response-adaptive randomization for clinical trials. The package
 currently supports two families of frequentist response-adaptive
 randomization procedures, Doubly Adaptive Biased Coin Design ('DBCD') and
 Sequential Estimation-adjusted Urn Model ('SEU'), for binary and normal
 endpoints. One-sided proportion (or mean) difference and Chi-square (or
 'ANOVA') hypothesis testing methods are also available in the package to
 facilitate the inference for treatment effect. Additionally, the package
 provides comprehensive and efficient tools to allow one to evaluate and
 compare the performance of randomization procedures and tests based on
 various criteria. For example, plots for relationship among assumed
 treatment effects, sample size, and power are provided. Five allocation
 functions for 'DBCD' and six addition rule functions for 'SEU' are
 implemented to target allocations such as 'Neyman', 'Rosenberger'
 Rosenberger et al. (2001) <doi:10.1111/j.0006-341X.2001.00909.x> and 'Urn'
 allocations.

Package: r-cran-rarity
Architecture: all
Version: 1.3-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rarity_1.3-8-1.ca2004.1_all.deb
Size: 91060
MD5sum: f5cf44d1e3f71add991cbe54ca7dbd65
SHA1: a2eb7853d38df34d17be7f7251308137ad10b47e
SHA256: 4fbbf7a79ea2ad6951a5dbd2e45524488c0eab8c7498f346bfcb3afa5bbbf5c4
SHA512: 8389efc5b8a5c2a2f2a03b9070566d56762db429eb58b4e0147179d2ac47f8e150a7523b408a137a3cf82c32b30335eda702af12f4919930edfe0c47a2090478
Homepage: https://cran.r-project.org/package=Rarity
Description: CRAN Package 'Rarity' (Calculation of Rarity Indices for Species and Assemblages ofSpecies)
 Allows calculation of rarity weights for species and indices of rarity for
 assemblages of species according to different methods (Leroy et al. 2012,
 Insect. Conserv. Divers. 5:159-168 <doi:10.1111/j.1752-4598.2011.00148.x>;
 Leroy et al. 2013, Divers. Distrib. 19:794-803 <doi:10.1111/ddi.12040>).

Package: r-cran-rarms
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rarms_1.0.0-1.ca2004.1_all.deb
Size: 14180
MD5sum: 2db649e96329d56bb90968f619f138d1
SHA1: c47574419169cd3355c43ae991761a39f6cde30e
SHA256: 95b034a90b0a939074c2a8d6ce00e1786517c0b6a8076d113fb36cbc6470dd63
SHA512: 645f051437b1e1ef340f0783f70f6d416fd92f741a13344a7585b7717dfb9ab15a1088ed9cd1fc4a90e37b206b03718c07767c49b36ff63119e086c67a9640c5
Homepage: https://cran.r-project.org/package=rarms
Description: CRAN Package 'rarms' (Access Data from the USDA ARMS Data API)
 Interface to easily access data via the United States Department of
 Agriculture (USDA)'s Agricultural Resource Management Survey (ARMS) Data API
 <https://www.ers.usda.gov/developer/data-apis/arms-data-api/>. The
 downloaded data can be saved for later off-line use.  Also provide relevant
 information and metadata for each of the input variables needed for sending
 the data inquery.

Package: r-cran-rarpack
Architecture: all
Version: 0.11-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rspectra
Suggests: r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rarpack_0.11-0-1.ca2004.1_all.deb
Size: 28384
MD5sum: ce6a3265c16e521261c13b6bc6c692c4
SHA1: d5632bb8b2a05fbb73b6d26f27f4256c3b119a0a
SHA256: 1d9a3ef1e86261b60958bb607f295e6313eeb3f14e21aab607ae980b6cdf4b4a
SHA512: 4adc429281e55d80e8a6b6672cb8dbf4625b72e6db8791105c09a1c5413b856563f6be54ed5a9d71d5a8754ecc6d4159a9a0641f670e7a3a89fa147c843a149a
Homepage: https://cran.r-project.org/package=rARPACK
Description: CRAN Package 'rARPACK' (Solvers for Large Scale Eigenvalue and SVD Problems)
 Previously an R wrapper of the 'ARPACK' library
 <http://www.caam.rice.edu/software/ARPACK/>, and now a shell of the R
 package 'RSpectra', an R interface to the 'Spectra' library
 <http://yixuan.cos.name/spectra/> for solving large scale eigenvalue/vector
 problems. The current version of 'rARPACK' simply imports and exports the
 functions provided by 'RSpectra'.  New users of 'rARPACK' are advised to
 switch to the 'RSpectra' package.

Package: r-cran-rartrials
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pins, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rartrials_0.0.2-1.ca2004.1_all.deb
Size: 641888
MD5sum: 43037c1f790269af3b7dfcf488bba719
SHA1: 1fcd6d89ea02b4f93c2d4af7081486d511bb209b
SHA256: 22ef5365a7424c5239d88ccf06e782f43b66582b5753cf4ba3a3853823618721
SHA512: af1280c83ce7308628035fe397f3c928186739b18d1181691e07dae5210e3e606e125b28344929c5240ede1aafd0c89f4f3f02891a3e8b657392b82f458be635
Homepage: https://cran.r-project.org/package=RARtrials
Description: CRAN Package 'RARtrials' (Response-Adaptive Randomization in Clinical Trials)
 Some response-adaptive randomization methods commonly found in literature
 are included in this package. These methods include the randomized
 play-the-winner rule for binary endpoint (Wei and Durham (1978)
 <doi:10.2307/2286290>), the doubly adaptive biased coin design with minimal
 variance strategy for binary endpoint (Atkinson and Biswas (2013)
 <doi:10.1201/b16101>, Rosenberger and Lachin (2015)
 <doi:10.1002/9781118742112>) and maximal power strategy targeting Neyman
 allocation for binary endpoint (Tymofyeyev, Rosenberger, and Hu (2007)
 <doi:10.1198/016214506000000906>) and RSIHR allocation with each letter
 representing the first character of the names of the individuals who first
 proposed this rule (Youngsook and Hu (2010) <doi:10.1198/sbr.2009.0056>,
 Bello and Sabo (2016) <doi:10.1080/00949655.2015.1114116>), A-optimal
 Allocation for continuous endpoint (Sverdlov and Rosenberger (2013)
 <doi:10.1080/15598608.2013.783726>), Aa-optimal Allocation for continuous
 endpoint (Sverdlov and Rosenberger (2013)
 <doi:10.1080/15598608.2013.783726>), generalized RSIHR allocation for
 continuous endpoint (Atkinson and Biswas (2013) <doi:10.1201/b16101>),
 Bayesian response-adaptive randomization with a control group using the
 Thall \& Wathen method for binary and continuous endpoints (Thall and Wathen
 (2007) <doi:10.1016/j.ejca.2007.01.006>) and the forward-looking Gittins
 index rule for binary and continuous endpoints (Villar, Wason, and Bowden
 (2015) <doi:10.1111/biom.12337>, Williamson and Villar (2019)
 <doi:10.1111/biom.13119>).

Package: r-cran-rasciidoc
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 553
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-fritools, r-cran-gert, r-cran-highr, r-cran-knitr, r-cran-reticulate
Suggests: r-cran-devtools, r-cran-pkgload, r-cran-rmarkdown, r-cran-rprojroot, r-cran-runit, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rasciidoc_4.1.1-1.ca2004.1_all.deb
Size: 101400
MD5sum: ae9d40958af2732fd7906bed8752ff75
SHA1: 69b317aa11ba664383fd1e77b897ae4890a594a3
SHA256: 1764f40ad0af88ae15bbcf19fde178e11bdf67df622e1c5c81b351568108cd60
SHA512: e59f4bfa44648c68e0c1cbf1ca83a5ddd391aaabac470bbb02de8842aaa783fb480f7fe8e0054be23744b011f5a0babaddb3585a0b998e4c6f7c2f698c1f9215
Homepage: https://cran.r-project.org/package=rasciidoc
Description: CRAN Package 'rasciidoc' (Create Reports Using R and 'asciidoc')
 Inspired by Karl Broman`s reader on using 'knitr' with 'asciidoc'
 (<https://kbroman.org/knitr_knutshell/pages/asciidoc.html>), this is merely
 a wrapper to 'knitr' and 'asciidoc'.

Package: r-cran-rasclass
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-nnet, r-cran-rsnns, r-cran-e1071, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-rasclass_0.2.2-1.ca2004.1_all.deb
Size: 112896
MD5sum: d3467556b84f44e027076f007f5bc88b
SHA1: 79eec4552469c5736740494dcd3ca71f445c3fae
SHA256: df2ad770e5a00854c6597b878f633c1da9029772239179e612a7766693a48241
SHA512: 042cbd2ead0adcdf5eab5ceb9c1e353467da1bbfba6a4fd8c22bf26b728d28f81ba039f1e41bd2e9ae4d963afc79cbb1f439bf9c032fd165c1e7819e70442e2f
Homepage: https://cran.r-project.org/package=rasclass
Description: CRAN Package 'rasclass' (Supervised Raster Image Classification)
 Software to perform supervised and pixel based raster image classification.
 It has been designed to facilitate land-cover analysis. Five classification
 algorithms can be used: Maximum Likelihood Classification, Multinomial
 Logistic Regression, Neural Networks, Random Forests and Support Vector
 Machines. The output includes the classified raster and standard
 classification accuracy assessment such as the accuracy matrix, the overall
 accuracy and the kappa coefficient. An option for in-sample verification is
 available.

Package: r-cran-rasen
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-caret, r-cran-class, r-cran-doparallel, r-cran-e1071, r-cran-foreach, r-cran-nnet, r-cran-randomforest, r-cran-rpart, r-cran-ggplot2, r-cran-gridextra, r-cran-formatr, r-cran-fnn, r-cran-ranger, r-cran-kernelknn, r-cran-modelmetrics, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rasen_3.0.0-1.ca2004.1_all.deb
Size: 4185412
MD5sum: dc0a7fb6de1e691d62f092f2269c3034
SHA1: af0e7d26b266e4251861de97488c1ccdaec375bd
SHA256: e37acaa06f972c9206fc46a3231451ff651bef8a61f48223b44fdb134fc3d4a8
SHA512: 7ae12b32695eda09fc3681765ddb3f880ed1f4e349dcfa0704af2f8768042159e2243ef6fe07ad51b7c6d95b391c08cb4e9c9be608472a038a828f6a72a168bc
Homepage: https://cran.r-project.org/package=RaSEn
Description: CRAN Package 'RaSEn' (Random Subspace Ensemble Classification and Variable Screening)
 We propose a general ensemble classification framework, RaSE algorithm, for
 the sparse classification problem. In RaSE algorithm, for each weak learner,
 some random subspaces are generated and the optimal one is chosen to train
 the model on the basis of some criterion. To be adapted to the problem, a
 novel criterion, ratio information criterion (RIC) is put up with based on
 Kullback-Leibler divergence. Besides minimizing RIC, multiple criteria can
 be applied, for instance, minimizing extended Bayesian information criterion
 (eBIC), minimizing training error, minimizing the validation error,
 minimizing the cross-validation error, minimizing leave-one-out error. There
 are various choices of base classifier, for instance, linear discriminant
 analysis, quadratic discriminant analysis, k-nearest neighbour, logistic
 regression, decision trees, random forest, support vector machines. RaSE
 algorithm can also be applied to do feature ranking, providing us the
 importance of each feature based on the selected percentage in multiple
 subspaces. RaSE framework can be extended to the general prediction
 framework, including both classification and regression. We can use the
 selected percentages of variables for variable screening. The latest version
 added the variable screening function for both regression and classification
 problems.

Package: r-cran-rashnu
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-dt
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rashnu_0.1.1-1.ca2004.1_all.deb
Size: 45480
MD5sum: 92a6b82df69706f124710edd0184d479
SHA1: e4aa934d8055553e6fe33da91147efe26bc4af9c
SHA256: c75a5642a3b092ab67c93fbf10d268f28194138023a50ac2c59993788221abaf
SHA512: 3ad5112004045b4f13876b32a2108c0c403c16d53dabb396c63ee1f785dfdd55df2c5eff86c13332ac693228b380d81cbae40efd9ff5d45acc40981c0cd03b20
Homepage: https://cran.r-project.org/package=rashnu
Description: CRAN Package 'rashnu' (Balanced Sample Size and Power Calculation Tools)
 Implements sample size and power calculation methods with a focus on balance
 and fairness in study design, inspired by the Zoroastrian deity Rashnu, the
 judge who weighs truth. Supports survival analysis and various hypothesis
 testing frameworks.

Package: r-cran-rassta
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-foreach, r-cran-ggally, r-cran-ggplot2, r-cran-histogram, r-cran-kernsmooth, r-cran-kohonen, r-cran-plotly, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-stringdist, r-cran-stringi, r-cran-terra
Suggests: r-cran-testthat, r-cran-tinytest, r-cran-doparallel, r-cran-mgcv, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rassta_1.0.6-1.ca2004.1_all.deb
Size: 3560240
MD5sum: 7d66bcd35563126f76cfc2442be4786d
SHA1: 4a7848c14bfc9d9b98f70330213f6ba5cad84a1d
SHA256: 44f08a0bbbcef29b0defd30aef3ab3543731457a8cec963789d2d04190f6bc17
SHA512: 22b987c2380dd5c597532eb0ab81570388b0fcf40be2abdb68e014f9c468d642e0b486fcea5755586e598a082dee45cde5d6ff635d5b04b21e5d989b84c770b7
Homepage: https://cran.r-project.org/package=rassta
Description: CRAN Package 'rassta' (Raster-Based Spatial Stratification Algorithms)
 Algorithms for the spatial stratification of landscapes, sampling and
 modeling of spatially-varying phenomena. These algorithms offer a simple
 framework for the stratification of geographic space based on raster layers
 representing landscape factors and/or factor scales.  The stratification
 process follows a hierarchical approach, which is based on first level units
 (i.e., classification units) and second-level units (i.e., stratification
 units). Nonparametric techniques allow to measure the correspondence between
 the geographic space and the landscape configuration represented by the
 units. These correspondence metrics are useful to define sampling schemes
 and to model the spatial variability of environmental phenomena. The
 theoretical background of the algorithms and code examples are presented in
 Fuentes et al. (2022).  <doi:10.32614/RJ-2022-036>.

Package: r-cran-rasterbc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1898
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bcmaps, r-cran-units
Filename: pool/dists/focal/main/r-cran-rasterbc_1.0.2-1.ca2004.1_all.deb
Size: 1405184
MD5sum: d8c3456646ae0b0d6fbd515f7daee6fe
SHA1: dcdfa750bc3d06099dd32630f3dc48a101373936
SHA256: ca80d330339bad8edfe1facf883662364ff5085f91945aed440835538c402e23
SHA512: d4c4dececc3d1bdad080fc2bbc8a092e53a44bf554b1d800ccecad9275122ed792e7c6147530f3edc7ddf0a4fd3f182531d20ef6b026fd4bd2e87c9498842904
Homepage: https://cran.r-project.org/package=rasterbc
Description: CRAN Package 'rasterbc' (Access Forest Ecology Layers for British Columbia in 2001-2018)
 R-based access to a large set of data variables relevant to forest ecology
 in British Columbia (BC), Canada. Layers are in raster format at 100m
 resolution in the BC Albers projection, hosted at the Federated Research
 Data Repository (FRDR) with <doi:10.20383/101.0283>. The collection
 includes: elevation; biogeoclimatic zone; wildfire; cutblocks; forest
 attributes from Hansen et al. (2013) <doi:10.1139/cjfr-2013-0401> and
 Beaudoin et al. (2017) <doi:10.1139/cjfr-2017-0184>; and rasterized Forest
 Insect and Disease Survey (FIDS) maps for a number of insect pest species,
 all covering the period 2001-2018.  Users supply a polygon or point location
 in the province of BC, and 'rasterbc' will download the overlapping raster
 tiles hosted at FRDR, merging them as needed and returning the result in R
 as a 'SpatRaster' object. Metadata associated with these layers, and code
 for downloading them from their original sources can be found in the
 'github' repository <https://github.com/deankoch/rasterbc_src>.

Package: r-cran-rasterdiv
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-ggforce, r-cran-ggplot2, r-cran-proxy, r-cran-progress, r-cran-terra, r-cran-twdtw, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rastervis, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-gstat, r-cran-latticeextra, r-cran-covid19
Filename: pool/dists/focal/main/r-cran-rasterdiv_0.3.6-1.ca2004.1_all.deb
Size: 2947660
MD5sum: e39219f8182c93b1159c881320536d3e
SHA1: 6ae7e0e70f8bb4db0245e9a67276c8eab84f22d9
SHA256: 51bdff9cc02285d1e29c2bba3954c60c4267c68ca98a21eeaefc621d609c6acf
SHA512: aed5d8d34c9748ca9e306eaf2d492a1f64edc7a0183ca26d5a492562999afad49ea8c7b3580a94542c5244bd7c8784a5d0deef49c3436d29b3613709f0ce30e0
Homepage: https://cran.r-project.org/package=rasterdiv
Description: CRAN Package 'rasterdiv' (Diversity Indices for Numerical Matrices)
 Provides methods to calculate diversity indices on numerical matrices based
 on information theory, as described in Rocchini, Marcantonio and Ricotta
 (2017) <doi:10.1016/j.ecolind.2016.07.039>, and Rocchini et al. (2021)
 <doi:10.1101/2021.01.23.427872>.

Package: r-cran-rasterdt
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-data.table, r-cran-fasterize, r-cran-sf
Suggests: r-cran-rastervis
Filename: pool/dists/focal/main/r-cran-rasterdt_0.3.2-1.ca2004.1_all.deb
Size: 52224
MD5sum: f706171698ef04af0bf4dd04a6224597
SHA1: 13e9cb098a5a9b7b433ecf42089bc8563d852e28
SHA256: 9b642e31887851c8aec116d40ffd89aa0622492140f448c182a30706deed7f47
SHA512: c76fc7da0b837991c53fbcb25f64f2f9d1ee40f046e21e4696bf2a6a3748a78d8a4a2d52bf19d5f0e305b6a7ffe50c3f1cc41d1c2878e1091b05c9aa720dd164
Homepage: https://cran.r-project.org/package=rasterDT
Description: CRAN Package 'rasterDT' (Fast Raster Summary and Manipulation)
 Fast alternatives to several relatively slow 'raster' package functions. For
 large rasters, the functions run from 5 to approximately 100 times faster
 than the 'raster' package functions they replace. The 'fasterize' package,
 on which one function in this package depends, includes an implementation of
 the scan line algorithm attributed to Wylie et al. (1967)
 <doi:10.1145/1465611.1465619>.

Package: r-cran-rasterimage
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-rasterimage_0.4.0-1.ca2004.1_all.deb
Size: 25220
MD5sum: 61affeb434571ef68a534a9b008a5ec2
SHA1: fa0b5497c6da6aede438623691d278741c30cd4f
SHA256: 4e231fe57e45a982b5c89cf599816040816b788b9326235db16a74604daf7f96
SHA512: 75aa4a4a04c09c90c7505e6c38822c30d378974a553988169ad7b5d33da56c43355e58b281c453bf183eb00d2daec1233e230a91eae6547596ee78b16f5c9ad3
Homepage: https://cran.r-project.org/package=rasterImage
Description: CRAN Package 'rasterImage' (An Improved Wrapper of image())
 This is a wrapper function for image(), which makes reasonable raster plots
 with nice axis and other useful features.

Package: r-cran-rasterize
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-png
Filename: pool/dists/focal/main/r-cran-rasterize_0.1-1.ca2004.1_all.deb
Size: 16824
MD5sum: 90a439c3e8d1e80650d4942803ac964b
SHA1: 8345558bb2bc2b706d3bd3d4a38424f939841545
SHA256: 432bf0e0bed56a89a8810b19103beb4b81122badac4fa764fab0f6d3e7b5d8dc
SHA512: aa08e46fe9968469c66638533b73a0b73a7e791975df1d98bef7bc287e45010d638411af43547e072b9d418c7d40245d291f375e7ee333814a5ab1fd09740500
Homepage: https://cran.r-project.org/package=rasterize
Description: CRAN Package 'rasterize' (Rasterize Graphical Output)
 Provides R functions to selectively rasterize components of 'grid' output.

Package: r-cran-rasterlist
Architecture: all
Version: 0.5.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2893
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster
Suggests: r-cran-lmom, r-cran-testthat, r-cran-sp, r-cran-sf, r-cran-soilwater, r-cran-lubridate, r-cran-ggplot2, r-cran-gridextra, r-cran-knitcitations, r-cran-leaflet, r-cran-lmompi, r-cran-stringr, r-cran-trend, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rasterlist_0.5.20-1.ca2004.1_all.deb
Size: 1697396
MD5sum: a87d5edd4de792f64b0f81c776179270
SHA1: 9d50a65273d371cead51f58841dd7c21b7348f6b
SHA256: 0dbd7b3d36b412050bc92d3274a88b76345ca824e20f5634d5ae07a8f15a8d76
SHA512: 47ea1d60354bc6ed98a46689349fe8671dcbf4ab2aa3df5709f5e286a47cffacaee12fd6db9712b97787b89d724badcf76874ec1a050bfec38b000edf47015c7
Homepage: https://cran.r-project.org/package=rasterList
Description: CRAN Package 'rasterList' (A Raster Where Cells are Generic Objects)
 A S4 class has been created such that complex operations can be executed on
 each cell of a raster map. The raster of objects contains a raster map with
 the addition of a list of generic objects: one object for each raster cells.
 It allows to write few lines of R code for complex map algebra. Two
 environmental applications about frequency analysis of raster map of
 precipitation and creation of a raster map of soil water retention curves
 have been presented.

Package: r-cran-rasterpdf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-png
Suggests: r-cran-covr, r-cran-lintr, r-cran-pkgdown, r-cran-ragg, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rasterpdf_0.1.1-1.ca2004.1_all.deb
Size: 23552
MD5sum: 95f2a68d6f75b1a027c30504dfe8a32e
SHA1: 05069faebcec711b3959dd8b67fc67063e6eca24
SHA256: ab235daa05c96feb5f87a50a722fc5b26521de4d17c86db6ffd59667018d5912
SHA512: b80783360abc019af5de3cf66f8fdb03508037c6f9d72080966a4aa0d39ab927a2e9c3c211f0d65772877db24c4f4874c64616a169d1adb96e7e4b4e90fdbce5
Homepage: https://cran.r-project.org/package=rasterpdf
Description: CRAN Package 'rasterpdf' (Plot Raster Graphics in PDF Files)
 The ability to plot raster graphics in PDF files can be useful when one
 needs multi-page documents, but the plots contain so many individual
 elements that (the usual) use of vector graphics results in inconveniently
 large file sizes. Internally, the package plots each individual page as a
 PNG, and then combines them in one PDF file.

Package: r-cran-rasterpic
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1443
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-png, r-cran-sf, r-cran-terra
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-rasterpic_0.3.0-1.ca2004.1_all.deb
Size: 758764
MD5sum: c6845cdfe2f2d2a752385c3a2f9ad54d
SHA1: 395257e5ff5334537190bd23a99bbb5db722361f
SHA256: a9f2a7db770438f7177dbac7756af9f351f44f1cebb322db5822d981f65af9be
SHA512: 23c7f6553b10a7ff3630bd52832c4732d0875b0395959d07c0ad4300e8715f9b65b77d6b228b32da449c48dd7cc98cbc3f26bde979ecef072c5651ba8a46969c
Homepage: https://cran.r-project.org/package=rasterpic
Description: CRAN Package 'rasterpic' (Convert Digital Images into 'SpatRaster' Objects)
 Generate 'SpatRaster' objects, as defined by the 'terra' package, from
 digital images, using a specified spatial object as a geographical
 reference.

Package: r-cran-rastervis
Architecture: all
Version: 0.51.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-raster, r-cran-terra, r-cran-latticeextra, r-cran-rcolorbrewer, r-cran-hexbin, r-cran-sp, r-cran-zoo, r-cran-viridislite
Suggests: r-cran-rgl, r-cran-ggplot2, r-cran-colorspace, r-cran-dichromat, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rastervis_0.51.6-1.ca2004.1_all.deb
Size: 216172
MD5sum: e74a763c07504b8ed29fd259f08cbd7c
SHA1: 94bc76866c98959654b732d0e07e24d02ff5c81d
SHA256: dbcfdabcefdd46dcc76e225a7e3356e6caa18ef4a34dc1c52b0db679a682655b
SHA512: ffb30cc219abe331d5e79b9f2f751d392a671165df3b1e592859637cfeb5b7b87331e1d1dbbc471a6285a8f19d092465a7653fdcad05e8dd40a5320d357c6a25
Homepage: https://cran.r-project.org/package=rasterVis
Description: CRAN Package 'rasterVis' (Visualization Methods for Raster Data)
 Methods for enhanced visualization and interaction with raster data. It
 implements visualization methods for quantitative data and categorical data,
 both for univariate and multivariate rasters. It also provides methods to
 display spatiotemporal rasters, and vector fields. See the website for
 examples.

Package: r-cran-rat
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-mapproj, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rat_0.3.1-1.ca2004.1_all.deb
Size: 303788
MD5sum: a0c8159a83921b085ad7c849018a931f
SHA1: fcd85d3e1a0b4465f6d96ef5082054e1f3f3611a
SHA256: ac60ee00f871a36fe3fe07409b68f86fb013293c9f1c96293fcf74320a74781c
SHA512: a6c52a131d9a7d016b7ee1fc3146999ad18f3ec787be41c6c6dcb8b5854c715aa75b9b93513a7a9f4814b45c7262e35f5ffcb1451cc3d2b30d38f54c4d7aa9b5
Homepage: https://cran.r-project.org/package=RAT
Description: CRAN Package 'RAT' (Research Assessment Tools)
 Includes algorithms to assess research productivity and patterns, such as
 the h-index and i-index. Cardoso et al. (2022) Cardoso, P., Fukushima, C.S.
 & Mammola, S. (2022) Quantifying the internationalization and
 representativeness in research. Trends in Ecology and Evolution, 37:
 725-728.

Package: r-cran-rata
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-glpkapi, r-cran-lpsolveapi, r-cran-rirt, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rata_0.0.2-1.ca2004.1_all.deb
Size: 74596
MD5sum: 4786fbd1c89d991b66db41ca269839a3
SHA1: 8b9583d391efe655a2ec92a599927015748f69f6
SHA256: c0f298023bd7bd8233889717efb1e013c66c3c93b816d39354ea805c4794345a
SHA512: 1f54ab87e91db9c19bf0502c661a37c091e5d0b7be1beb7933895c7038b9dbc0f908f87f6f94989501d63c932415c5c309a9ed0763f67b571c636b0dedaf8862
Homepage: https://cran.r-project.org/package=Rata
Description: CRAN Package 'Rata' (Automated Test Assembly)
 Automated test assembly of linear and adaptive tests using the mixed-integer
 programming. The full documentation and tutorials are at
 <https://github.com/xluo11/Rata>.

Package: r-cran-ratdat
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ratdat_1.1.0-1.ca2004.1_all.deb
Size: 479096
MD5sum: 825016df24db7c818de70062b24edee7
SHA1: dec26803bb8bfbecf08d7dad5d06d2c19529c4e4
SHA256: 62c8a345ad6c3d494579b963a2d7e0ea1853181079abee7cb37e2ed94b3b04aa
SHA512: d0818485fb5d99ef289811ff5e4db483529a0d2ec7f299c38cc6465968240d5432e410990265b6a2217bbbb8e0a2b77cdf5601a32918d151d8618a3e152e6f33
Homepage: https://cran.r-project.org/package=ratdat
Description: CRAN Package 'ratdat' (Portal Project Teaching Database)
 A simplified version of the Portal Project Database designed for teaching.
 It provides a real world example of life-history, population, and ecological
 data, with sufficient complexity to teach many aspects of data analysis and
 management, but with many complexities removed to allow students to focus on
 the core ideas and skills being taught. The full database (which should be
 used for research) is available at
 <https://github.com/weecology/PortalData>.

Package: r-cran-ratelimitr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-microbenchmark, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ratelimitr_0.4.1-1.ca2004.1_all.deb
Size: 40688
MD5sum: 527604e19ea6aaa6a3b9083faab3a16d
SHA1: 4d54e86980f4bfefa1f4ef3c63c9ab77ad1d6a1b
SHA256: 6cd1c28317605b425c903de3f546a15777f1959251a5d67b1a15baf167df7d01
SHA512: 835bcefd206b42b97978722a040bf9cc9f05248ce663bb15abb20c9a67575d3bec4b859663ed8eb1ffbda7d665954d1d6ee67421f74e01f09a9cfb8081ac5d10
Homepage: https://cran.r-project.org/package=ratelimitr
Description: CRAN Package 'ratelimitr' (Rate Limiting for R)
 Allows to limit the rate at which one or more functions can be called.

Package: r-cran-rateratio.test
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rateratio.test_1.1-1.ca2004.1_all.deb
Size: 129760
MD5sum: 9b67532adef9df023a476c55bc05c85e
SHA1: 65fc1263d25e975a7d15cd2e2803bea3dd6de31a
SHA256: d96917521f1f5a332ed4a2ce8688e293fbf67db5e12e5c1870da910045b4f8e7
SHA512: f4d7c3c72239f7dd6fc1eb2fc58b2c92742326621ed2ff1273467a1068b0214ce2255b138cd81178b31d8824bc3cce836a08c08273894471aa23d6f48adaca9e
Homepage: https://cran.r-project.org/package=rateratio.test
Description: CRAN Package 'rateratio.test' (Exact Rate Ratio Test)
 Performs exact rate ratio tests.

Package: r-cran-raters
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-raters_2.1.1-1.ca2004.1_all.deb
Size: 51004
MD5sum: e41f4c529ce91098216bfaab9a29d30c
SHA1: 28e14f2995d85efc2a7b671a4499af3844462d9c
SHA256: bdccdb310a928457562b1b9e27620c82d65184da601010f19bae2d0438326774
SHA512: d5ddc5f86f76f5590150ebe0e17f702d321851db3f255b540b795885f1295442d452aa1c307da4d9a83462bdc4c2bf6772b373e74680eecac688bb83e472e438
Homepage: https://cran.r-project.org/package=raters
Description: CRAN Package 'raters' (A Modification of Fleiss' Kappa in Case of Nominal and OrdinalVariables)
 The kappa statistic implemented by Fleiss is a very popular index for
 assessing the reliability of agreement among multiple observers. It is used
 both in the psychological and in the psychiatric field. Other fields of
 application are typically medicine, biology and engineering.
 Unfortunately,the kappa statistic may behave inconsistently in case of
 strong agreement between raters, since this index assumes lower values than
 it would have been expected. We propose a modification kappa implemented by
 Fleiss in case of nominal and ordinal variables. Monte Carlo simulations are
 used both to testing statistical hypotheses and to calculating percentile
 bootstrap confidence intervals based on proposed statistic in case of
 nominal and ordinal data.

Package: r-cran-ratesci
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1564
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ratesci_1.0.0-1.ca2004.1_all.deb
Size: 1169104
MD5sum: 905f90f7b85485054f1af7856dfcd8da
SHA1: fab11204d93a727cdac9dd146dec926f5c147e44
SHA256: ddd07dbb2a2a76f63e4d811bb8df4ecf7bb8494e5d665e5e750b63d4afce8b26
SHA512: fef96d38d9e798f26739c847ae4bbd35d176fa057465e7bd89c5487244cc3a8efcbcaf2991ba33908566460ebed3986a658696adf5cade2f13a68674b43961ce
Homepage: https://cran.r-project.org/package=ratesci
Description: CRAN Package 'ratesci' (Confidence Intervals and Tests for Comparisons of BinomialProportions or Poisson Rates)
 Computes confidence intervals for binomial or Poisson rates and their
 differences or ratios. Including the rate (or risk) difference ('RD') or
 rate ratio (or relative risk, 'RR') for binomial proportions or Poisson
 rates, and odds ratio ('OR', binomial only).  Also confidence intervals for
 RD, RR or OR for paired binomial data, and estimation of a proportion from
 clustered binomial data.  Includes skewness-corrected asymptotic score
 ('SCAS') methods, which have been developed in Laud (2017)
 <doi:10.1002/pst.1813> from Miettinen and Nurminen (1985)
 <doi:10.1002/sim.4780040211> and Gart and Nam (1988) <doi:10.2307/2531848>,
 and in Laud (2025, under review) for paired proportions. The same score
 produces hypothesis tests that are improved versions of the non-inferiority
 test for binomial RD and RR by Farrington and Manning (1990)
 <doi:10.1002/sim.4780091208>, or a generalisation of the McNemar test for
 paired data. The package also includes MOVER methods (Method Of Variance
 Estimates Recovery) for all contrasts, derived from the Newcombe method but
 with options to use equal-tailed intervals in place of the Wilson score
 method, and generalised for Bayesian applications incorporating prior
 information. So-called 'exact' methods for strictly conservative coverage
 are approximated using continuity adjustments, and the amount of adjustment
 can be selected to avoid over-conservative coverage.  Also includes methods
 for stratified calculations (e.g. meta-analysis), either with fixed effect
 assumption (matching the CMH test) or incorporating stratum heterogeneity.

Package: r-cran-ratest
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-quantreg
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ratest_0.1.10-1.ca2004.1_all.deb
Size: 408524
MD5sum: a418c7ac97c116e0e634bf67468671c6
SHA1: 86f4c600c257597db7950ba198ca32592918ab42
SHA256: 9bf8b08fc4a769b04f0fd1a2cf908da7de15060cf0dce653d7eebb3e0ae014df
SHA512: 061fa9cb5240ca09a9ac0bc81924d7e6253bd3d6b50154ae68cdcb636c50e364823a32c1a6a120fd68a820465de2cb1d6fd57e0a6997d2c4625800741e9b6c85
Homepage: https://cran.r-project.org/package=RATest
Description: CRAN Package 'RATest' (Randomization Tests)
 A collection of randomization tests, data sets and examples. The current
 version focuses on five testing problems and their implementation in
 empirical work. First, it facilitates the empirical researcher to test for
 particular hypotheses, such as comparisons of means, medians, and variances
 from k populations using robust permutation tests, which asymptotic validity
 holds under very weak assumptions, while retaining the exact rejection
 probability in finite samples when the underlying distributions are
 identical. Second, the description and implementation of a permutation test
 for testing the continuity assumption of the baseline covariates in the
 sharp regression discontinuity design (RDD) as in Canay and Kamat (2018)
 <https://goo.gl/UZFqt7>. More specifically, it allows the user to select a
 set of covariates and test the aforementioned hypothesis using a permutation
 test based on the Cramer-von Misses test statistic. Graphical inspection of
 the empirical CDF and histograms for the variables of interest is also
 supported in the package. Third, it provides the practitioner with an
 effortless implementation of a permutation test based on the martingale
 decomposition of the empirical process for testing for heterogeneous
 treatment effects in the presence of an estimated nuisance parameter as in
 Chung and Olivares (2021) <doi:10.1016/j.jeconom.2020.09.015>. Fourth, this
 version considers the two-sample goodness-of-fit testing problem under
 covariate adaptive randomization and implements a permutation test based on
 a prepivoted Kolmogorov-Smirnov test statistic. Lastly, it implements an
 asymptotically valid permutation test based on the quantile process for the
 hypothesis of constant quantile treatment effects in the presence of an
 estimated nuisance parameter.

Package: r-cran-rathena
Architecture: all
Version: 2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 982
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-reticulate, r-cran-uuid
Suggests: r-cran-arrow, r-cran-bit64, r-cran-dplyr, r-cran-dbplyr, r-cran-testthat, r-cran-tibble, r-cran-vroom, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonify, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rathena_2.6.1-1.ca2004.1_all.deb
Size: 618880
MD5sum: addfb83bb5022b95d5da4ecc6a7bb312
SHA1: 1156b40bc0cfcab6c1ae489e0cb8c15673dd683b
SHA256: 6a176cf6b169d09b37714ca2f637a8012884b5ce2e020a38d8fbec3d89dfc243
SHA512: 010e3c085805f7b122422e970460ba50f4194fa0fbc6ff10238d236d2203649a6f5b1bdfeb5cd6ba3c137cf5129cf4424563937cb2e24d4c0238b9c8d6a50a87
Homepage: https://cran.r-project.org/package=RAthena
Description: CRAN Package 'RAthena' (Connect to 'AWS Athena' using 'Boto3' ('DBI' Interface))
 Designed to be compatible with the R package 'DBI' (Database Interface) when
 connecting to Amazon Web Service ('AWS') Athena
 <https://aws.amazon.com/athena/>.  To do this 'Python' 'Boto3' Software
 Development Kit ('SDK')
 <https://boto3.amazonaws.com/v1/documentation/api/latest/index.html> is used
 as a driver.

Package: r-cran-ratingscalereduction
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proc, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-ratingscalereduction_1.4-1.ca2004.1_all.deb
Size: 43048
MD5sum: 1a768af2ea6fab71d8d93d31deb75870
SHA1: 2db865ec64d54a83499ebf70fac830aa16c26edf
SHA256: c59d1922d8fd47617a6e2145d28c90a115b2e271592275bfcc1cbdcc0940e8af
SHA512: 889f6ca9e1737badab307b64b918a389c5456668f84430b3c4acad6a3bead004c8aacfe8d0d3f87478948bbae66d90adfdc94bb7e0984debed6317d35bdde297
Homepage: https://cran.r-project.org/package=RatingScaleReduction
Description: CRAN Package 'RatingScaleReduction' (Rating Scale Reduction Procedure)
 Describes a new procedure of reducing items in a rating scale called Rating
 Scale Reduction (RSR). The new stop criterion in RSR procedure is added
 (stop global max). The function order is replaced by sort.list.

Package: r-cran-rationalexp
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowfall
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rationalexp_0.2.2-1.ca2004.1_all.deb
Size: 184800
MD5sum: a6d96bf8dae161ae27f356f79755bdf0
SHA1: 93cc7cd3df12ecae620607e8fb45ee6d83fa1661
SHA256: a2171c47cd3323855a12382b438638d45c93ee6da59c25b5722e02afa6ca9efd
SHA512: bf8d52e9ae9dd9d96f820080230c799baee90b992e383cbafe596d7272747898dc53a129b1bbc90cfd8b2a26fc57f58d67f6231056482977b5f89518e19b607e
Homepage: https://cran.r-project.org/package=RationalExp
Description: CRAN Package 'RationalExp' (Rationalizing Rational Expectations. Tests and Deviations)
 We implement a test of the rational expectations hypothesis based on the
 marginal distributions of realizations and subjective beliefs from
 D'Haultfoeuille, Gaillac, and Maurel (2018) <doi:10.3386/w25274>. This test
 can be used in cases where realizations and subjective beliefs are observed
 in two different datasets that cannot be matched, or when they are observed
 in the same dataset. The package also computes the estimator of the minimal
 deviations from rational expectations than can be rationalized by the data.

Package: r-cran-rationalfun
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-rationalfun_0.1-1-1.ca2004.1_all.deb
Size: 48252
MD5sum: 102db6291297b022bd29698f2a7c7ecc
SHA1: f3ec7f068b25d09e7b74edf79314ff1e02eb9e1b
SHA256: 6ef677d209c30fb1f698215574df80998a544c98b69a91ef281331b4c352f6e9
SHA512: 678f3283deda4d30c16479935ef82cafa120c4abe945f5c9dd7ec8e77db6498822d9b040b29981e31f6893d40fb5388614a186d327b0d5fd66551922909e6f8f
Homepage: https://cran.r-project.org/package=rationalfun
Description: CRAN Package 'rationalfun' (Manipulation of Rational Functions)
 Functions to manipulate rational functions, including basic arithmetic
 operators, derivatives, and integrals with EXPLICIT forms.

Package: r-cran-ratios
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ratios_1.2.0-1.ca2004.1_all.deb
Size: 123548
MD5sum: 1f6ea349df84f86592901b471bc6b78c
SHA1: 34aeebc1c1557c89a42548c696bb46228df56efc
SHA256: 20a4d8ff182339acc4d564e4385e600b87d650e9469a49c41d80ff546c2772cb
SHA512: 11bd5567cbe2d98dba746aaf93547b37d780ca202e5902ae4be3f1a1fb39fa15fe6eb9b0a49cc70669d6d43456c2da2e4788e1eeeb2cfeea90f543067a64373a
Homepage: https://cran.r-project.org/package=ratios
Description: CRAN Package 'ratios' (Calculating Ratios Between Two Data Sets and Correction forAdhering Particles on Plants)
 Calculation of ratios between two data sets containing environmental data
 like element concentrations by different methods. Additionally plant element
 concentrations can be corrected for adhering particles (soil, airborne
 dust).

Package: r-cran-ratlas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5035
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bookdown, r-cran-colorspace, r-cran-dplyr, r-cran-extrafont, r-cran-fs, r-cran-ggplot2, r-cran-ggtext, r-cran-glue, r-cran-hrbrthemes, r-cran-knitr, r-cran-magrittr, r-cran-officedown, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xaringan, r-cran-xfun
Suggests: r-cran-covr, r-cran-cowplot, r-cran-dichromat, r-cran-english, r-cran-here, r-cran-kableextra, r-cran-lintr, r-cran-magick, r-cran-pkgdown, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tinytex, r-cran-usethis, r-cran-vdiffr, r-cran-viridis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ratlas_0.1.0-1.ca2004.1_all.deb
Size: 2626836
MD5sum: 88feded506e683c94ddf3e59076150e4
SHA1: 97e8220f414c7912a37dce4c29f8eb5c08e7a39f
SHA256: 846d5a463d823c2c0ad11435917c7a9946f6e0a26bd04954e65aeb533e11823d
SHA512: e702b19b57370ff09d678799c0869abb59bdeaaceee844de70541303aab7427fd69a0de911accc99e12c8e2af1ad985992f313bff1adb628b5bb095ff8c00bad
Homepage: https://cran.r-project.org/package=ratlas
Description: CRAN Package 'ratlas' (ATLAS Formatting Functions and Templates)
 Provides templates, formatting tools, and 'ggplot2' themes tailored for the
 Accessible Teaching, Learning, and Assessment Systems (ATLAS) organization.
 These templates facilitate the creation of topic guides and technical
 reports, while the formatting functions enable users to customize numbers
 and tables to meet specific requirements. Additionally, the themes ensure a
 uniform visual style across graphics.

Package: r-cran-rattains
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-crul, r-cran-curl, r-cran-dplyr, r-cran-fauxpas, r-cran-fs, r-cran-jsonlite, r-cran-lifecycle, r-cran-rlang, r-cran-rlist, r-cran-tibblify, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-vcr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-rattains_1.0.1-1.ca2004.1_all.deb
Size: 164292
MD5sum: 59fba19e0485df4c82fab7d718800f4f
SHA1: b8ac813001d98b14f88162b51bdd918e76552124
SHA256: 9c832706b781c5f6d35d075c06b97407b05a332fb3d669eac61550f0b1e887e1
SHA512: adf131a45ee1da6b340163858902600223c5dd0adf8338ccffe827841d70a0710367d73709c1c82dd4ffc0bb1f6983b4b65c7179e106df1a69657ff88a53fea6
Homepage: https://cran.r-project.org/package=rATTAINS
Description: CRAN Package 'rATTAINS' (Access EPA 'ATTAINS' Data)
 An R interface to United States Environmental Protection Agency (EPA)
 Assessment, Total Maximum Daily Load (TMDL) Tracking and Implementation
 System ('ATTAINS') data. 'ATTAINS' is the EPA database used to track
 information provided by states about water quality assessments conducted
 under federal Clean Water Act requirements. ATTAINS information and API
 information is available at <https://www.epa.gov/waterdata/attains>.

Package: r-cran-rattle
Architecture: all
Version: 5.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9707
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-bitops, r-cran-ggplot2, r-cran-magrittr, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-xml, r-cran-rpart.plot
Suggests: r-cran-pmml, r-cran-colorspace, r-cran-ada, r-cran-amap, r-cran-arules, r-cran-arulesviz, r-cran-biclust, r-cran-cba, r-cran-cluster, r-cran-corrplot, r-cran-descr, r-cran-doby, r-cran-e1071, r-cran-ellipse, r-cran-fbasics, r-cran-foreign, r-cran-fpc, r-cran-gdata, r-cran-ggdendro, r-cran-gplots, r-cran-gridextra, r-cran-gtools, r-cran-hmisc, r-cran-janitor, r-cran-kernlab, r-cran-matrix, r-cran-mice, r-cran-nnet, r-cran-party, r-cran-plyr, r-cran-psych, r-cran-randomforest, r-cran-rcolorbrewer, r-cran-readxl, r-cran-reshape, r-cran-rocr, r-cran-rodbc, r-cran-rpart, r-cran-scales, r-cran-snowballc, r-cran-survival, r-cran-timedate, r-cran-tm, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-rattle_5.5.1-1.ca2004.1_all.deb
Size: 5964844
MD5sum: 45fb3bcdbe26c61d658e5072527f1bef
SHA1: a066c1088b0e36869285dddd23f308176b1c1b66
SHA256: 6701a30365dab7c1dadade849b86f12413e1c6b6636ba9599899ebccf086f752
SHA512: ae9938e0d6acb7b14ba64aa9b813e2a9443b7930b08017f292c65d59602c60a1155f22058541750220f4ec8582150aa8e5c4be921f78e4289218fd8e2eb10316
Homepage: https://cran.r-project.org/package=rattle
Description: CRAN Package 'rattle' (Graphical User Interface for Data Science in R)
 The R Analytic Tool To Learn Easily (Rattle) provides a collection of
 utilities functions for the data scientist. A Gnome (RGtk2) based graphical
 interface is included with the aim to provide a simple and intuitive
 introduction to R for data science, allowing a user to quickly load data
 from a CSV file (or via ODBC), transform and explore the data, build and
 evaluate models, and export models as PMML (predictive modelling markup
 language) or as scores. A key aspect of the GUI is that all R commands are
 logged and commented through the log tab.  This can be saved as a standalone
 R script file and as an aid for the user to learn R or to copy-and-paste
 directly into R itself.  Note that RGtk2 and cairoDevice have been archived
 on CRAN.  See <https://rattle.togaware.com> for installation instructions.

Package: r-cran-ravedash
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3203
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dipsaus, r-cran-logger, r-cran-raveio, r-cran-rpymat, r-cran-shidashi, r-cran-shiny, r-cran-shinywidgets, r-cran-threebrain, r-cran-shinyvalidate, r-cran-htmlwidgets
Suggests: r-cran-htmltools, r-cran-fastmap, r-cran-rlang, r-cran-crayon, r-cran-rstudioapi, r-cran-knitr, r-cran-httr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ravedash_0.1.2-1.ca2004.1_all.deb
Size: 1420132
MD5sum: 08e7bd45da70404710e1964987571f2f
SHA1: 1ef70083376fcb471ba3742833fc5ce153192673
SHA256: e0ee53fbcd72bf843638327808e344d60285a4ecc412acb236d98b4c34441b8b
SHA512: bb3f632fb39e1951b2decf7e89007f6dec1dd7e7a8c5074ae834dff96ea57d46f47e7032281dee3d2699c90b181162e4814aa8c23cd7e9a985ed4f56ce049fad
Homepage: https://cran.r-project.org/package=ravedash
Description: CRAN Package 'ravedash' (Dashboard System for Reproducible Visualization of 'iEEG')
 Dashboard system to display the analysis results produced by 'RAVE'
 (Magnotti J.F., Wang Z., Beauchamp M.S. (2020), R analysis and
 visualizations of 'iEEG' <doi:10.1016/j.neuroimage.2020.117341>).  Provides
 infrastructure to integrate customized analysis pipelines into dashboard
 modules, including file structures, front-end widgets, and event handlers.

Package: r-cran-raveio
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2057
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-edfreader, r-cran-dipsaus, r-cran-filearray, r-cran-fst, r-cran-glue, r-cran-globals, r-cran-hdf5r, r-cran-jsonlite, r-cran-r.matlab, r-cran-r6, r-cran-stringr, r-cran-yaml, r-cran-targets, r-cran-callr, r-cran-remotes, r-cran-promises, r-cran-threebrain, r-cran-rpymat, r-cran-ravetools
Suggests: r-cran-visnetwork, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-clustermq, r-cran-shiny, r-cran-shinywidgets, r-cran-freesurferformats, r-cran-rpyants, r-cran-readnsx, r-cran-later
Filename: pool/dists/focal/main/r-cran-raveio_0.9.0-1.ca2004.1_all.deb
Size: 1812524
MD5sum: 1c06eb758862eea65a1aa2accd1488f0
SHA1: cec4d9a1354efd6e8d7837b4e0bdc31e3bb210ad
SHA256: ecfec8d46a7c1805893cb668ed69494a8b6c51cf62b7a2ae763f91ea8ae2c369
SHA512: 8301340e611bdf2d40863a369039287f085e2a50c0e33c5cedb1c269caf1f34b5702abfd5f7ab6be928360d35e41dd46e04f68946df26285de4bbb7cbe5f45ea
Homepage: https://cran.r-project.org/package=raveio
Description: CRAN Package 'raveio' (File-System Toolbox for RAVE Project)
 Includes multiple cross-platform read/write interfaces for 'RAVE' project.
 'RAVE' stands for "R analysis and visualization of human intracranial
 electroencephalography data". The whole project aims at providing powerful
 free-source package that analyze brain recordings from patients with
 electrodes placed on the cortical surface or inserted into the brain.
 'raveio' as part of this project provides tools to read/write
 neurophysiology data from/to 'RAVE' file structure, as well as several
 popular formats including 'EDF(+)', 'Matlab', 'BIDS-iEEG', and 'HDF5', etc.
 Documentation and examples about 'RAVE' project are provided at
 <https://openwetware.org/wiki/RAVE>, and the paper by John F. Magnotti,
 Zhengjia Wang, Michael S. Beauchamp (2020)
 <doi:10.1016/j.neuroimage.2020.117341>; see 'citation("raveio")' for
 details.

Package: r-cran-ravelry
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ravelry_0.1.0-1.ca2004.1_all.deb
Size: 101484
MD5sum: edae37dfec429af78f1d357069b4f139
SHA1: 5da441f8f8ce9070fe06685e2ab7451e5adb3898
SHA256: 16b2bb46593c0c90d36df9df31c3c961cc857238f59e24d02ff6642a83305fe9
SHA512: 5a36e23534c37e468f72c8a38ed7f24c409c0ff2f10d8828404382eca2cab7c66fb39eaf46a3ede4ac080475c6316fb3b3e3c5c157ebb6d62046532086c092c7
Homepage: https://cran.r-project.org/package=ravelRy
Description: CRAN Package 'ravelRy' (An Interface to the 'Ravelry' API)
 Provides access to the 'Ravelry' API
 <https://www.ravelry.com/groups/ravelry-api>. An R wrapper for pulling data
 from 'Ravelry.com', an organizational tool for crocheters, knitters,
 spinners, and weavers. You can retrieve pattern, yarn, author, and shop
 information by search or by a given id.

Package: r-cran-raven.rdf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-raven.rdf_0.2.0-1.ca2004.1_all.deb
Size: 58336
MD5sum: e0cf6812c0250ab767858327af000d94
SHA1: daa59e55171b199d82f4d8bc73712b5f5845c554
SHA256: 001b403cc8ad8b31add4ddb8dcdc84ead2a9dbf75dbde017f312ea055c5c1a7a
SHA512: dfb1d2e7a2da7e725f026d94f56b787a9ee5c67c0a499da3ac220b9ec20a1f6ead6121d679fdac95988d11d21413f36903ff7d948ca6b69551baf9a5bdf8b5f8
Homepage: https://cran.r-project.org/package=raven.rdf
Description: CRAN Package 'raven.rdf' (An R Interface for Raven DataFrames (Beta0))
 Provides an I/O interface between R data.frames and Raven DataFrames.
 Defines functions to both read and write DataFrame files, as well as
 serialize/deserialize data.frames/DataFrames.

Package: r-cran-ravepipeline
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 724
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64url, r-cran-callr, r-cran-cli, r-cran-digest, r-cran-fastmap, r-cran-future, r-cran-fst, r-cran-glue, r-cran-jsonlite, r-cran-knitr, r-cran-promises, r-cran-r6, r-cran-remotes, r-cran-rlang, r-cran-targets, r-cran-uuid, r-cran-yaml
Suggests: r-cran-filearray, r-cran-future.apply, r-cran-globals, r-cran-ieegio, r-cran-rpymat, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shidashi, r-cran-threebrain, r-cran-testthat, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-ravepipeline_0.0.1-1.ca2004.1_all.deb
Size: 571012
MD5sum: 1712ec798ebb5352ffa08d95c3d3ba77
SHA1: 882a1534e4e943d3f9ed9918534fdf8a03ca1082
SHA256: 0e11b279e8e69a1443463a1ae67a5bc69a82a04966fa936222e41f407627b3d3
SHA512: 6f64f46b49bc175c729ecf476d4492a85db00c9c6cbe6413778d1de1f7b45960e26afe784b4ddda1c4497db956c805d94a72fbda80cea86979aaa8e5d67978f1
Homepage: https://cran.r-project.org/package=ravepipeline
Description: CRAN Package 'ravepipeline' (Reproducible Pipeline Infrastructure for Neuroscience)
 Defines the underlying pipeline structure for reproducible neuroscience,
 adopted by 'RAVE' (reproducible analysis and visualization of intracranial
 electroencephalography); provides high-level class definition to build,
 compile, set, execute, and share analysis pipelines.  Both R and 'Python'
 are supported, with 'Markdown' and 'shiny' dashboard templates for extending
 and building customized pipelines. See the full documentations at
 <https://rave.wiki>; to cite us, check out our paper by Magnotti, Wang, and
 Beauchamp (2020, <doi:10.1016/j.neuroimage.2020.117341>), or run
 citation("ravepipeline") for details.

Package: r-cran-raw
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1076
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-actuar, r-cran-chainladder, r-cran-dplyr, r-cran-devtools, r-cran-fincal, r-cran-fitdistrplus, r-cran-forcats, r-cran-ggplot2, r-cran-insurancedata, r-cran-knitr, r-cran-lahman, r-cran-lubridate, r-cran-maps, r-cran-mondate, r-cran-nlme, r-cran-nycflights13, r-cran-purrr, r-cran-randomforest, r-cran-randomnames, r-cran-readr, r-cran-readxl, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tweedie, r-cran-xml
Filename: pool/dists/focal/main/r-cran-raw_0.1.8-1.ca2004.1_all.deb
Size: 968204
MD5sum: 97c8732e50fb2541054cc9a536d98cc7
SHA1: d261f471cffacd4977045a6e9eb7afd237b9305c
SHA256: e4dbe13434d82864c69cd317acb158c94c963e2cd2fd8fb0ff51fe6312791595
SHA512: 4c6d8ea6913770016c83e673707db73cc60e76e8ea3bc515efcb64d044217b9f8fa430f3a50fc16ff018bcff5a867c2792ff66f651df63d220b0abb8fb901c3c
Homepage: https://cran.r-project.org/package=raw
Description: CRAN Package 'raw' (R Actuarial Workshops)
 In order to facilitate R instruction for actuaries, we have organized
 several sets of publicly available data of interest to non-life actuaries.
 In addition, we suggest a set of packages, which most practicing actuaries
 will use routinely. Finally, there is an R markdown skeleton for basic
 reserve analysis.

Package: r-cran-rawhummus
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2339
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-config, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-golem, r-cran-kableextra, r-cran-markdown, r-cran-plotly, r-cran-purrr, r-cran-rams, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-shiny, r-cran-shinycustomloader, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinymatrix
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rawhummus_0.3.3-1.ca2004.1_all.deb
Size: 1643356
MD5sum: 56c96ad832f180646536e429579f7a74
SHA1: f2b3e0a131ec1acc4d3786bbedcd0c4b3043969d
SHA256: 03095a0e37127f28c45070ba39f74a974fb4f8ec364d212df02051e6792f4389
SHA512: 95edc7f8791179e83ec55f60964e611e9530e2dbc26782509770858abff7869220577e0fdc06ea8f3e15aaf13ee9bb8e4a21cb9f313ce6e9dee97b3a2c50bab8
Homepage: https://cran.r-project.org/package=RawHummus
Description: CRAN Package 'RawHummus' (Raw Data Quality Control Tool for LC-MS System)
 Assess LC–MS system performance by visualizing instrument log files and
 monitoring raw quality control samples within a project.

Package: r-cran-rawks
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rocr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rawks_0.1.0-1.ca2004.1_all.deb
Size: 40464
MD5sum: 6ebb0d60805a313d3ea0da0cb1bf2d22
SHA1: 47a2f8212ea100b3cbb921b69ad14651cbc0b363
SHA256: 505e8139784e2d99f5303fdbfe562d53e0a6002eab26bf252a1e0ee9435a8949
SHA512: 1259365fbac65d920a5aea0eadf1a320f164e73ab70666334267cca0539cc6c550edf3526ef4f8de55d299e64e72e0df06557cb2bf35fb923e25b4e459ff97c4
Homepage: https://cran.r-project.org/package=rawKS
Description: CRAN Package 'rawKS' (Easily Get True-Positive Rate and False-Positive Rate and KSStatistic)
 The Kolmogorov-Smirnov (K-S) statistic is a standard method to measure the
 model strength for credit risk scoring models. This package calculates the
 K–S statistic and plots the true-positive rate and false-positive rate to
 measure the model strength.  This package was written with the credit
 marketer, who uses risk models in conjunction with his campaigns. The users
 could read more details from Thrasher (1992) <doi:10.1002/dir.4000060408>
 and 'pyks' <https://pypi.org/project/pyks/>.

Package: r-cran-raws.profile
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-tibble, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-raws.profile_0.1.0-1.ca2004.1_all.deb
Size: 27692
MD5sum: e2859a0674ef84da686727502e97e1db
SHA1: 2026c23d46ac04dffb38dcefd9f25050b6aeede7
SHA256: 8319c0939f64f3e0e8ac5c9601badec7b932316d2e216bcbbc9b9ee026bf12c4
SHA512: 6f979e326c1b02464d1a1070b21cc1e584b35b8419cf4f53878c1fed8be8424e5fdfaa05f2f33da5b91ee75e9ed88ea769f14ae4427c814b50e812198a0abb4e
Homepage: https://cran.r-project.org/package=raws.profile
Description: CRAN Package 'raws.profile' (Managing Profiles on Amazon Web Service)
 This is an R wrapper from the AWS Command Line Interface that provides
 methods to manage the user configuration on Amazon Web Service. You can
 create as many profiles as you want, manage them, and delete them. The
 profiles created with this tool work with all AWS products such as S3,
 Glacier, and EC2. It also provides a function to automatically install AWS
 CLI, but you can download it and install it manually if you prefer.

Package: r-cran-raymolecule
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rayrender, r-cran-magrittr, r-cran-periodictable, r-cran-httr, r-cran-rayvertex
Filename: pool/dists/focal/main/r-cran-raymolecule_0.5.3-1.ca2004.1_all.deb
Size: 85624
MD5sum: 6d0ada197062c3bf515bd688dd555111
SHA1: 05baf8b73dc96f7d98eeaa2fee41ce9d0fee3720
SHA256: 606560ef0ca04f677be45eac6061f9665203d5652a3a8ab77a6af55a8af87580
SHA512: e1002ec7f6bdf3d95febd189c58b2d82b6ccfa4ad578c43533fec70c24bda08ec567bff186317b5dcf03c976ac916c1b892309a20699d207e9aabceeb87c4b2a
Homepage: https://cran.r-project.org/package=raymolecule
Description: CRAN Package 'raymolecule' (Parse and Render Molecular Structures in 3D)
 Downloads and parses 'SDF' (Structural Description Format) and 'PDB'
 (Protein Database) files for 3D rendering.

Package: r-cran-raytracing
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2006
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ncdf4, r-cran-sf, r-cran-units
Suggests: r-cran-testthat, r-cran-covr, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-raytracing_0.6.0-1.ca2004.1_all.deb
Size: 1985460
MD5sum: c52979dddcb6c6bc00f86ec2c15c2e27
SHA1: 90cc1821d509219dd0cbadc4fb0c38ff6433265d
SHA256: 5c68d8c2aad39e18ea05e90b36f3db7a1b51eb2185429ca005454e60ee476e60
SHA512: f44762829476802ac22dbb076c7f2097575b157949fb2db4fd83ac2c38716166ee9ab4e03aa033a9c2d27b31d17da043c32ecd2821c5fb9cd65444584928fcfd
Homepage: https://cran.r-project.org/package=raytracing
Description: CRAN Package 'raytracing' (Rossby Wave Ray Tracing)
 Rossby wave ray paths are traced from a determined source, specified
 wavenumber, and direction of propagation. "raytracing" also works with a set
 of experiments changing these parameters, making possible the identification
 of Rossby wave sources automatically.  The theory used here is based on
 classical studies, such as Hoskins and Karoly (1981)
 <doi:10.1175/1520-0469(1981)038%3C1179:TSLROA%3E2.0.CO;2>, Karoly (1983)
 <doi:10.1016/0377-0265(83)90013-1>, Hoskins and Ambrizzi (1993)
 <doi:10.1175/1520-0469(1993)050%3C1661:RWPOAR%3E2.0.CO;2>, and Yang and
 Hoskins (1996) <doi:10.1175/1520-0469(1996)053%3C2365:PORWON%3E2.0.CO;2>.

Package: r-cran-raziad
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-extradistr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-raziad_0.0.1-1.ca2004.1_all.deb
Size: 190264
MD5sum: bf9e7f58909a9cdbaeee9d3f1a75019f
SHA1: 088973ecd9d8a79f7ebf873bb8d24ac5db17473c
SHA256: c69eebbf54957fa4993d554c2dde440e88a0113fbad67b436ef5a41b12a20d67
SHA512: d5df45cf4c9e0f1c6edd125ea33d6271445220f8cad652d026fe5bf77be0acf164ee3e176b6b1cfd25f6085be044df3b0261323a948e8305713196a1133e6a2e
Homepage: https://cran.r-project.org/package=RAZIAD
Description: CRAN Package 'RAZIAD' (Regression Analysis of Zero-Inflated and Zero-Altered(Hurdle)Data)
 It performs regression analysis for zero-inflated and zero-altered data,
 enabling modeling of sparse response variable distributions and assessing
 their association with covariates. It computes Maximum Likelihood Estimates
 (MLE) and conducts model selection using AIC and BIC criteria. Additionally,
 it calculates Fisher Information, confidence intervals, standard errors, and
 z-scores for all model parameters.

Package: r-cran-rb3
Architecture: all
Version: 0.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3027
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bizdays, r-cran-stringr, r-cran-proto, r-cran-cli, r-cran-readr, r-cran-dplyr, r-cran-rvest, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-ascii, r-cran-rlang, r-cran-yaml, r-cran-digest, r-cran-base64enc, r-cran-xml, r-cran-readxl, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-dt, r-cran-miniui, r-cran-shiny, r-cran-xtable, r-cran-rmarkdown, r-cran-ggplot2, r-cran-covr, r-cran-scales, r-cran-magrittr, r-cran-tibble, r-cran-withr, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rb3_0.0.12-1.ca2004.1_all.deb
Size: 1332860
MD5sum: 55ec2ccb87712c1a2e866d4918fd8fea
SHA1: aed6c1caffd70eac825a0d7ffeb89ef2657caf77
SHA256: 9bce8eea13e4a20eaf804c7dbe7098338e89c83cc5238a43125874d6130e9a07
SHA512: 84eece9bfb44f3857b8c033fe7ce05e987d20bbdb9c6bf2eab467f9eda59e4adc8bddabb8b28a6e8cfeb86679c107e537eaa9ed0f937d0b9a4dd4dbd6b0b198b
Homepage: https://cran.r-project.org/package=rb3
Description: CRAN Package 'rb3' (Download and Parse Public Data Released by B3 Exchange)
 Download and parse public files released by B3 and convert them into useful
 formats and data structures common to data analysis practitioners.

Package: r-cran-rbace
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-xml2, r-cran-data.table, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-rbace_0.2.2-1.ca2004.1_all.deb
Size: 44052
MD5sum: da8c132efc02ebf7476932d55a41f464
SHA1: 891138090f95aebd295b191335d7192df728369e
SHA256: c32a335e8826be71261daba0d727b570edffe67301752cc767d0add26aa50050
SHA512: 04e45e457c7e99f0085d0f178a2c2d4bb23074fdf994eda43d04b9da9cb1b7aaea4987cf971bd6c777590b32920c43c956dc321922696b2c6c549a39f4552ce3
Homepage: https://cran.r-project.org/package=rbace
Description: CRAN Package 'rbace' ('Bielefeld' Academic Search Engine ('BASE') Client)
 Interface to the API for the 'Bielefeld' Academic Search Engine ('BASE')
 (<https://www.base-search.net/>). 'BASE' is a search engine for more than
 150 million scholarly documents from more than 7000 sources. Methods are
 provided for searching for documents, as well as getting information on
 higher level groupings of documents: collections and repositories within
 collections. Search includes faceting, so you can get a high level overview
 of number of documents across a given variable (e.g., year). 'BASE' asks
 users to respect a rate limit, but does not enforce it themselves; we
 enforce that rate limit.

Package: r-cran-rbahadur
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rbahadur_1.0.0-1.ca2004.1_all.deb
Size: 36936
MD5sum: 4d7382901b2133b44eb269dc4015212d
SHA1: f3f54960a00e48d1b71cb63c09b6ef5808346da2
SHA256: a0bcee6ab8ace1d8735faf7bf1774a46d38ec1a47d4d41d0963e4208c0ab3b45
SHA512: f09f9d2c053cf294541a11a1688883af46dc27cdce153fa9ecc4334605081dbba315dae0ef8deac6acd1869a2de33669ac9e376eecfd2317b230f1706dae83a8
Homepage: https://cran.r-project.org/package=rBahadur
Description: CRAN Package 'rBahadur' (Assortative Mating Simulation and Multivariate BernoulliVariates)
 Simulation of phenotype / genotype data under assortative mating.  Includes
 functions for generating Bahadur order-2 multivariate Bernoulli variables
 with general and diagonal-plus-low-rank correlation structures.  Further
 details are provided in: Border and Malik (2022)
 <doi:10.1101/2022.10.13.512132>.

Package: r-cran-rbasex
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 918
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-rcurl, r-cran-pingr, r-cran-rex, r-cran-httr, r-cran-stringr, r-cran-dplyr, r-cran-openssl, r-cran-magrittr, r-cran-tibble, r-cran-data.table
Suggests: r-cran-testthat, r-cran-glue
Filename: pool/dists/focal/main/r-cran-rbasex_1.1.2-1.ca2004.1_all.deb
Size: 324028
MD5sum: 959a392efe7e1b7513ab33d5d2aae20d
SHA1: d99fcfd43124e2f65e83ab4eba511e0d9d91df48
SHA256: 80302e1ee7cb3ec17f769f6ac847fde825ef33559d51499352ef46550dab7f3e
SHA512: 512d6a945b62545b83492dc6d08b32b958ec5de58005191f73cc7979c9c956df2e351907f3902508daf0d0ec1855b0a2c9b10a5ccd48b7948775668dbbface1d
Homepage: https://cran.r-project.org/package=RBaseX
Description: CRAN Package 'RBaseX' ('BaseX' Client)
 'BaseX' <https://basex.org> is a XML database engine and a compliant 'XQuery
 3.1' processor with full support of 'W3C Update Facility'. This package is a
 full client-implementation of the client/server protocol for 'BaseX' and
 provides functionalities to create, manipulate and query on XML-data.

Package: r-cran-rbayesianoptimization
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-foreach, r-cran-gpfit
Suggests: r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-rbayesianoptimization_1.2.1-1.ca2004.1_all.deb
Size: 38864
MD5sum: 21eba28ef4697fe0345abca999194859
SHA1: 8d2fbbc6e6a7748ffef1d3a707b4573be81763e0
SHA256: 2358e89e8e3c8b9a5f041ab6c357b3a13d3e15ef262dff0935693861216fc525
SHA512: 608ae3721d438e69a8bad0627f1b19d4a8419384cf579d4c8bd9dd01f10542bcc1a28401749847b3c6004157f62d26e989b4860e984cdfb74d05f7b452dd73cf
Homepage: https://cran.r-project.org/package=rBayesianOptimization
Description: CRAN Package 'rBayesianOptimization' (Bayesian Optimization of Hyperparameters)
 A Pure R implementation of Bayesian Global Optimization with Gaussian
 Processes.

Package: r-cran-rbbnp
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-pracma, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-rbbnp_0.3.0-1.ca2004.1_all.deb
Size: 329552
MD5sum: afea5b47fabaf50f8a6a6733e85fae69
SHA1: 74b1e8392dc197db8cb872fe8fc693ac237bd23a
SHA256: 99bb0765789226a3c213ceff1e015190cee8da8dd125eea4f268826b909ab7e4
SHA512: 91825a297a2056772e7c12f9f4d07b713622a5c38454486d23dd425b2463ee856134963062f8177cc7ddab9cadcf639b8c2693e833aab676a48a3cb48592f877
Homepage: https://cran.r-project.org/package=rbbnp
Description: CRAN Package 'rbbnp' (A Bias Bound Approach to Non-Parametric Inference)
 A novel bias-bound approach for non-parametric inference is introduced,
 focusing on both density and conditional expectation estimation.  It
 constructs valid confidence intervals that account for the presence of a
 non-negligible bias and thus make it possible to perform inference with
 optimal mean squared error minimizing bandwidths.  This package is based on
 Schennach (2020) <doi:10.1093/restud/rdz065>.

Package: r-cran-rbc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1268
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rbc_0.1.0-1.ca2004.1_all.deb
Size: 1123616
MD5sum: cf41a1f53e8201ccba580971c0fe953e
SHA1: b48d53c11f00b038ef7e72c3f1682269cdaf38f8
SHA256: 6b5e1124ba307762c1850c706274cbc08e9baf8b73e3af1dc860438edb0db0f4
SHA512: c8bc403db2ba401973c91a74dd7973e8bdb5852c6513beb229b0252e6b62610ffc873767e79bef79e087303747127e25132f4861825969599449a7bf4f7dbc42
Homepage: https://cran.r-project.org/package=rbc
Description: CRAN Package 'rbc' (Regression by Composition)
 Flexible statistical modelling using a modular framework for regression, in
 which groups of transformations are composed together and act on probability
 distributions.

Package: r-cran-rbcb
Architecture: all
Version: 0.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-xts, r-cran-xml2, r-cran-purrr, r-cran-digest
Suggests: r-cran-testthat, r-cran-miniui, r-cran-shiny, r-cran-dplyr, r-cran-covr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rbcb_0.1.14-1.ca2004.1_all.deb
Size: 157480
MD5sum: 61120842704135baf2d26a034bee8739
SHA1: 477f1d0b35be86dadc22a53602b7df537610d63d
SHA256: edb76d109aa14b1f7ab4254fadc7201e6f4437b9422e1a85a816ff478be072b3
SHA512: 29deb678103106caee3018e3e28ac029a34ee9bc4972f58b45b1edd6342acbac9cbb4a383e0b4eefd584efa7ceb68efd6893aa51879fc6844c12d86b657de275
Homepage: https://cran.r-project.org/package=rbcb
Description: CRAN Package 'rbcb' (R Interface to Brazilian Central Bank Web Services)
 The Brazilian Central Bank API delivers many datasets which regard economic
 activity, regional economy, international economy, public finances, credit
 indicators and many more. For more information please see
 <http://dadosabertos.bcb.gov.br/>.  These datasets can be accessed through
 'rbcb' functions and can be obtained in different data structures common to
 R ('tibble', 'data.frame', 'xts', ...).

Package: r-cran-rbcc
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-qcc, r-cran-ggplot2, r-cran-reshape2, r-cran-pearsonds, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-rbcc_0.1.5-1.ca2004.1_all.deb
Size: 128404
MD5sum: a439cb7a41b9a62994a86cad96b51ab8
SHA1: 93fb188264aae2584da2e15b58100c52be6e42bd
SHA256: 1cd4d286f51bd90e6089e2d9768a986f03720abd3f3f283abd1fd23cfee1a3a8
SHA512: b6315af9e61524b28491cc3697b27eb6c6c9de63c95082a1c2c59142305b8a76cd26ddc173dc777659ff2e7b32681707d16ea3b93876d87657fa99e60bb53726
Homepage: https://cran.r-project.org/package=rbcc
Description: CRAN Package 'rbcc' (Risk-Based Control Charts)
 Univariate and multivariate versions of risk-based control charts.
 Univariate versions of control charts, such as the risk-based version of
 X-bar, Moving Average (MA), Exponentially Weighted Moving Average Control
 Charts (EWMA), and Cumulative Sum Control Charts (CUSUM) charts. The
 risk-based version of the multivariate T2 control chart. Plot and summary
 functions. Kosztyan et. al. (2016) <doi:10.1016/j.eswa.2016.06.019>.

Package: r-cran-rbch
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gmp, r-cran-httr, r-cran-openssl, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-rbch_0.1-2-1.ca2004.1_all.deb
Size: 385368
MD5sum: dc5bc533d1316528ad916b25ac0ab1f0
SHA1: 5aaf68d5231dc56577108e136103f42a8ec64e66
SHA256: 50b5d9c958655da3b41d6d2909609d18437373e4955952a67b1443793d27b573
SHA512: a03cd92e04240e57111c32eff9dc697e4e01d4a36d3e4427deff4d2892cfcbd109e2cdb32a19835da0818ed9ec870bc9306ad398369ad1d182662222efa7009c
Homepage: https://cran.r-project.org/package=rbch
Description: CRAN Package 'rbch' (Extraction and Analysis of Data from the Bitcoin Cash (BCH)Blockchain)
 Issues RPC-JSON calls to 'bitcoind', the daemon of Bitcoin Cash (BCH), to
 extract transaction data from the blockchain. BCH is a fork of Bitcoin that
 permits a greater number of transactions per second. A BCH daemon is
 available under an MIT license from the Bitcoin Unlimited website
 <https://www.bitcoinunlimited.info>.

Package: r-cran-rbe3
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-rbe3_1.1-1.ca2004.1_all.deb
Size: 36868
MD5sum: 055733bc9819c5399da67c8f3f6cb025
SHA1: 24212bc0893b6b7ccf1f558944db500912765302
SHA256: db103d6a0e8cc5e46d33c4ac42d3cb4a120f608b22ce0b5a69cb18c315e496f2
SHA512: 2654fe39846f974306ccb55fe05e85d0e1bedc99121285dee797d8dda72db8b43a277c01c264115824720679e6c898f0ff816b03e5ca8160db1f4218b6e47658
Homepage: https://cran.r-project.org/package=RBE3
Description: CRAN Package 'RBE3' (Estimation and Additional Tools for Quantile Generalized BetaRegression Model)
 Provide estimation and data generation tools for the quantile generalized
 beta regression model. For details, see Bourguignon, Gallardo and Saulo
 <arXiv:2110.04428> The package also provides tools to perform covariates
 selection.

Package: r-cran-rbefdata
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl, r-cran-rjson, r-cran-wordcloud, r-cran-rtematres, r-cran-rcolorbrewer
Suggests: r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-rbefdata_0.3.5-1.ca2004.1_all.deb
Size: 95488
MD5sum: a62e25b590635cf0e17f5d2245c921a1
SHA1: 49efe8b3f31ce558aec537aee1944562bc5bc488
SHA256: 72fbc03a809b8d46b8d48787827c94aa02471b6753631368e93bc430a316c1fb
SHA512: 2daaa88979fb18a756ee58a537dd2920bedfb7db63bfb9a75138f77cf6a56e2c064b83243877f754a6f7bd9f6db9027dcec9b7b755081baed60847cc2f92228b
Homepage: https://cran.r-project.org/package=rbefdata
Description: CRAN Package 'rbefdata' (BEFdata R package)
 Basic R package to access data structures offered by any BEFdata portal
 instance.

Package: r-cran-rbenchmark
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rbenchmark_1.0.0-1.ca2004.1_all.deb
Size: 20656
MD5sum: 7506b1e00d819ee53b79f3d1754dd915
SHA1: 29709df9d55cbed68c9207da9c664a5d40ef04ea
SHA256: 79891cb1e60f06f527ca7bdeedbce2b9ca029a96c5eca2aebaed5ff58654679c
SHA512: 4e78f320f8ed02c441174a2eb788b58482c74588f59c9997c25b5eb18cea3a7abdd4794c2a816fea67db3cc0ff42b8b09112e61d33907403a6166ba8097a073c
Homepage: https://cran.r-project.org/package=rbenchmark
Description: CRAN Package 'rbenchmark' (Benchmarking routine for R)
 rbenchmark is inspired by the Perl module Benchmark, and is intended to
 facilitate benchmarking of arbitrary R code. The library consists of just
 one function, benchmark, which is a simple wrapper around system.time.
 Given a specification of the benchmarking process (counts of replications,
 evaluation environment) and an arbitrary number of expressions, benchmark
 evaluates each of the expressions in the specified environment, replicating
 the evaluation as many times as specified, and returning the results
 conveniently wrapped into a data frame.

Package: r-cran-rbent
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rfit
Filename: pool/dists/focal/main/r-cran-rbent_0.1.0-1.ca2004.1_all.deb
Size: 26480
MD5sum: 24a55372207dcd5f0166f1018c9540e7
SHA1: e94121da728e0382aac70a94987cccd4932005c9
SHA256: b31c0508a31b10043c9c551da5bf0102c7f55811bbcae35dc7a834e39b266625
SHA512: 566b45d81d3007db723167c5427caf06607c75c88ce6f5fb84fd644729c16b1c89a3b7fe59279b361a4c85a585e97f617a6d44d707b698feb1dee364d839615a
Homepage: https://cran.r-project.org/package=Rbent
Description: CRAN Package 'Rbent' (Robust Bent Line Regression)
 An implementation of robust bent line regression. It can fit the bent line
 regression and test the existence of change point, for the paper, "Feipeng
 Zhang and Qunhua Li (2016). Robust bent line regression, submitted."

Package: r-cran-rbenvo
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 923
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-purrr, r-cran-lme4, r-cran-matrix, r-cran-forcats, r-cran-sf, r-cran-lubridate, r-cran-rlang, r-cran-stringr
Suggests: r-cran-ggmap, r-cran-knitr, r-cran-glue, r-cran-rmarkdown, r-cran-testthat, r-cran-tidygraph, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-rbenvo_1.0.5-1.ca2004.1_all.deb
Size: 750904
MD5sum: 7d57d218fe13c9b47ca140515a35e03f
SHA1: dd186157fe5f1a4fbfeeb6115fd3db8af78c8688
SHA256: 146d85f2b4c011081ba8c447bd731fa877e3b647af4f2b1345e4cad526cb8a29
SHA512: 377b5d8320c702fa3cf0c76efd14645518fbff56bd7f93f7f4227c776b37a8a522a3c8910f093819d12856717e6cc29fc4d7ffd4a669d6fafc37133f13caa987
Homepage: https://cran.r-project.org/package=rbenvo
Description: CRAN Package 'rbenvo' (Built Environment Objects)
 Provides S3 class objects and methods for built environment data to ease the
 use of working with these data and facilitate other packages that make use
 of this data structure.

Package: r-cran-rbgm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1781
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-dplyr, r-cran-geosphere, r-cran-rlang, r-cran-reproj, r-cran-sfheaders
Suggests: r-cran-bgmfiles, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rbgm_0.2.0-1.ca2004.1_all.deb
Size: 1264260
MD5sum: 7710017bcb7820f8f8103ae2b9414283
SHA1: 2743306b8b361339ee97ad35a8e021b380511786
SHA256: 0c34191eeb58f0ed74cc9243f8f5d807dcc10067cdf6efab3eb349ce9fab293b
SHA512: 34029630791370eafefae4fa7d9824da770775be959b06b596441ad2c540cd82ff3c6646880ed60e7cd9677ba83c9fec4a40de9b9282fa3aa8f187302b36eb9d
Homepage: https://cran.r-project.org/package=rbgm
Description: CRAN Package 'rbgm' (Tools for 'Box Geometry Model' (BGM) Files and Topology for theAtlantis Ecosystem Model)
 Facilities for working with Atlantis box-geometry model (BGM) files.
 Atlantis is a deterministic, biogeochemical, whole-of-ecosystem model.
 Functions are provided to read from BGM files directly, preserving their
 internal topology, as well as helper functions to generate spatial data from
 these mesh forms. This functionality aims to simplify the creation and
 modification of box and geometry as well as the ability to integrate with
 other data sources.

Package: r-cran-rbgs
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-imager, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rbgs_0.2-1.ca2004.1_all.deb
Size: 1044308
MD5sum: 383722853614fd60657d9d4b0837a20d
SHA1: 1d9882603d11077b138295276c5a8d6d04516b9b
SHA256: f0a03339a75d9e12f880d43339fd2c7933b519d8dd63866528c23dba646668ac
SHA512: 9af6542db3978d914fc9ce18e7d7d7c3ac854c16bff0494d72426d4abfb347146f503e521a7263c6aaa754fbbf5c09d9043d06d610067492a347bc282e4b1343
Homepage: https://cran.r-project.org/package=Rbgs
Description: CRAN Package 'Rbgs' (Reading and Background Subtraction in Videos)
 Methods that allow video reading and loading in R. Also provides nine
 different methods for background subtraction.

Package: r-cran-rbhl
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-xml2, r-cran-jsonlite, r-cran-plyr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rbhl_0.9.2-1.ca2004.1_all.deb
Size: 101324
MD5sum: dc8f0cc8df25a91fae29d89a5c4c826c
SHA1: c13276266aca11d10159f96c6d4cf7935e2452cc
SHA256: 539479b9be8ee90a39da6c2350d3e145ddb583bae013978562956f1dbeb1c9c8
SHA512: 19eb1c0336b8bee735e069a38c4e66eeec85490ab9cf5b8b57c9bc34f18cfa537d9443a79c5d8f3bca6fe83aa0a265cb3d62fc92a252da30da7b704c04541766
Homepage: https://cran.r-project.org/package=rbhl
Description: CRAN Package 'rbhl' (Interface to the 'Biodiversity' 'Heritage' Library)
 Interface to 'Biodiversity' 'Heritage' Library ('BHL')
 (<https://www.biodiversitylibrary.org/>) API
 (<https://www.biodiversitylibrary.org/docs/api3.html>). 'BHL' is a
 repository of 'digitized' literature on 'biodiversity' studies, including
 'floras', research papers, and more.

Package: r-cran-rbi.helpers
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rbi, r-cran-data.table, r-cran-lubridate, r-cran-reshape2, r-cran-matrix
Suggests: r-cran-markdown, r-cran-testthat, r-cran-covr, r-cran-stringi, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rbi.helpers_0.4.0-1.ca2004.1_all.deb
Size: 162512
MD5sum: b3a7d432a0a0d4f7112813c85d92b8ad
SHA1: 1f366dc747e090d7a870cefab1940267678c9129
SHA256: 623e031eeaff8e4aed20a3253f90df3657264869e510b54eb01c109bf700e9b0
SHA512: ca820b59fc6f70b0659758f454a1e27a7f2a2285828428d0c79f908053c1c7a329f741849fef8010ef5e7aa0d692932c5d89a89f444d9395f41923b1b6841fd8
Homepage: https://cran.r-project.org/package=rbi.helpers
Description: CRAN Package 'rbi.helpers' ('rbi' Helper Functions)
 Contains a collection of helper functions to use with 'rbi', the R interface
 to 'LibBi', described in Murray et al. (2015) <doi:10.18637/jss.v067.i10>.
 It contains functions to adapt the proposal distribution and number of
 particles in particle Markov-Chain Monte Carlo, as well as calculating the
 Deviance Information Criterion (DIC) and converting between times in 'LibBi'
 results and R time/dates.

Package: r-cran-rbi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-ncdf4, r-cran-processx, r-cran-reshape2
Suggests: r-cran-coda, r-cran-covr, r-cran-stringi, r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rbi_1.0.0-1.ca2004.1_all.deb
Size: 352416
MD5sum: a54201cf3e40a511980299c0e727c54f
SHA1: bb0f51d95c699f72e90e427be8a26c0efd5d75fe
SHA256: 07fc66912b06b82bc0db35f1f72dce09279e78147bb9cffd8209af38de2f7408
SHA512: b2dcfb7edfcdc5cbaf96abbf4165782c44a16b64412686af1a957357ddc12be1fd742b508fae6c0bfd9083e8f7ff3bf08bf0e01ec34dfd60c321157670155eb4
Homepage: https://cran.r-project.org/package=rbi
Description: CRAN Package 'rbi' (Interface to 'LibBi')
 Provides a complete interface to 'LibBi', a library for Bayesian inference
 (see <https://libbi.org> and Murray, 2015 <doi:10.18637/jss.v067.i10> for
 more information). This includes functions for manipulating 'LibBi' models,
 for reading and writing 'LibBi' input/output files, for converting 'LibBi'
 output to provide traces for use with the coda package, and for running
 'LibBi' to conduct inference.

Package: r-cran-rbiascorrection
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-magrittr, r-cran-minpack.lm, r-cran-nls2, r-cran-polynom
Suggests: r-cran-ggpubr, r-cran-knitr, r-cran-lintr, r-cran-microbenchmark, r-cran-quarto, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rbiascorrection_0.3.5-1.ca2004.1_all.deb
Size: 662872
MD5sum: d6c2c17fb3dcf32b78643158e1ee307e
SHA1: e10c769b76c8eea6e6f67df1d548a7e7fb911d50
SHA256: 0003383f3c053c2eb2e3775473ce2d13e269f210708a0cf493e2ddfcbca2d4aa
SHA512: 929cc76d3151dfa3adf1befb5239fcb77276e59f8947b33b0e06b86f5ef08a143e58d477ff72ba52fb18ffbf7f494362541a78e3ab04498d2618f27c917999d9
Homepage: https://cran.r-project.org/package=rBiasCorrection
Description: CRAN Package 'rBiasCorrection' (Correct Bias in DNA Methylation Analyses)
 Implementation of the algorithms (with minor modifications) to correct bias
 in quantitative DNA methylation analyses as described by Moskalev et al.
 (2011) <doi:10.1093/nar/gkr213>. Publication: Kapsner et al. (2021)
 <doi:10.1002/ijc.33681>.

Package: r-cran-rbin
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4778
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-knitr, r-cran-miniui, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rbin_0.2.1-1.ca2004.1_all.deb
Size: 407068
MD5sum: abc9683ccc94d2e3638f44a2cc705649
SHA1: 2d1dbe7fe7ab920f59daa5f2e370b2cabe1ba212
SHA256: 88277c0c6beaa4f0c8ef24bbb6deae9114fb3ff8e75d9c895d64e63b755216e0
SHA512: 2fee884eb1aaed309ca4375e081ddfd892bb88a8af86c8658da7284a70f87073303a52322129c21776a31513c59d41cc864e99fe98419c70294f4fcd5e51e472
Homepage: https://cran.r-project.org/package=rbin
Description: CRAN Package 'rbin' (Tools for Binning Data)
 Manually bin data using weight of evidence and information value. Includes
 other binning methods such as equal length, quantile and winsorized. Options
 for combining levels of categorical data are also available. Dummy variables
 can be generated based on the bins created using any of the available
 binning methods. References: Siddiqi, N. (2006)
 <doi:10.1002/9781119201731.biblio>.

Package: r-cran-rbioapi
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3904
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-dt, r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rbioapi_0.8.2-1.ca2004.1_all.deb
Size: 1203964
MD5sum: 1a0ecff2c74c8002f017b3497d2e44fd
SHA1: 5dc34bac1a492ad133d2ab159068be516b652b36
SHA256: ec3542846246c0c6a8427766b2b9cf5ef170a9a13dddb8a620e9820e8666269c
SHA512: e24586944240e17b71f59c27ad5dfbe7862dc7757dae68a127cfb1d145be3bac520c0dd4baf8dc51bc3f99af6f8a7ca902dd8f66f5ee082fb8058e859be71559
Homepage: https://cran.r-project.org/package=rbioapi
Description: CRAN Package 'rbioapi' (User-Friendly R Interface to Biologic Web Services' API)
 Currently fully supports Enrichr, JASPAR, miEAA, PANTHER, Reactome, STRING,
 and UniProt! The goal of rbioapi is to provide a user-friendly and
 consistent interface to biological databases and services. In a way that
 insulates the user from the technicalities of using web services API and
 creates a unified and easy-to-use interface to biological and medical web
 services. This is an ongoing project; New databases and services will be
 added periodically. Feel free to suggest any databases or services you often
 use.

Package: r-cran-rbiouml
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-rbiouml_1.11-1.ca2004.1_all.deb
Size: 147832
MD5sum: c7c1f978695c49f01c53f1a567602b38
SHA1: c8f0230c6220d2d5ce13cdbbeb588c554da08fd4
SHA256: 1b1eb1fd5d1add6c438757de4460b61e4a436014acdb2a5325f5423e734a713d
SHA512: 2264c9ac34acf7d3729e8f1ad7c2be221ad873888c645b3e94e103df24c2abd28507a79973e89352729363077cbedd2a18a23476ce0c04eba8b1028190ffbc19
Homepage: https://cran.r-project.org/package=rbiouml
Description: CRAN Package 'rbiouml' (Interact with BioUML Server)
 Functions for connecting to BioUML server, querying BioUML repository and
 launching BioUML analyses.

Package: r-cran-rbison
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-crul, r-cran-ggplot2, r-cran-mapproj, r-cran-sp, r-cran-dplyr, r-cran-jsonlite, r-cran-data.table, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-taxize, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rbison_1.0.0-1.ca2004.1_all.deb
Size: 1077176
MD5sum: bebfeaad2b6e44f034a6ca3e8c5e2902
SHA1: e4827e6d474614d11f1123f0e363baacc249590f
SHA256: b8dd8a6874b9d58b9653e1065657aced027dd847d18f43dfc0cda1c53c9fb7c9
SHA512: d2f0b667520d0b9b34521f4979547bbd9877cc05fb44dce1a13ba55cde04a1b6577de85fc54512275d16d97acc109b9b981d8b403bb9847c50dd58b34c769ebd
Homepage: https://cran.r-project.org/package=rbison
Description: CRAN Package 'rbison' (Interface to the 'USGS' 'BISON' API)
 Interface to the 'USGS' 'BISON' (<https://bison.usgs.gov/>) API, a
 'database' for species occurrence data. Data comes from species in the
 United States from participating data providers. You can get data via
 'taxonomic' and location based queries. A simple function is provided to
 help visualize data.

Package: r-cran-rbit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Filename: pool/dists/focal/main/r-cran-rbit_1.0.0-1.ca2004.1_all.deb
Size: 41316
MD5sum: 4a5166eb23db70c1b2bc8f4babd14d8c
SHA1: a8300a885892e051d8a539b4f080aa781f99b41d
SHA256: cd971c153cf471434c3fcbe28148bc5e1d86d32505b734af8efd1cdf884fdef6
SHA512: ae4c966fe20e51971700e5fb4ac961ad2604cf14971c6932dc7c9e4576b6ce7cc69a99a1a44e9130e2f2abc5c2c59174179bdb7310c1568937af541d4e6a269d
Homepage: https://cran.r-project.org/package=rbit
Description: CRAN Package 'rbit' (Binary Indexed Tree)
 A simple implementation of Binary Indexed Tree by R. The BinaryIndexedTree
 class supports construction of Binary Indexed Tree from a vector, update of
 a value in the vector and query for the sum of a interval of the vector.

Package: r-cran-rbitcoinchartsapi
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rbitcoinchartsapi_1.0.4-1.ca2004.1_all.deb
Size: 16336
MD5sum: e6fee4ba465e615efda36616093362d1
SHA1: 0e90aa28326c27758eaac23e8ebbbb81859b884d
SHA256: 8ca87c34063692a465bc7b538a07ad0107294e1db75af1cbbafc3a91230189b5
SHA512: cfd24b9e13dd6e6369bcc616441e68a65be3e04e10a0b632dbd9c02fa90fba7a856f409e85318af47da22450e64554a0f30c4446b54dbffe9eb5cc3224d4370a
Homepage: https://cran.r-project.org/package=rbitcoinchartsapi
Description: CRAN Package 'rbitcoinchartsapi' (R Package for the BitCoinCharts.com API)
 An R package for the BitCoinCharts.com API.

Package: r-cran-rbitmoji
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 386
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-getpass, r-cran-httr, r-cran-jsonlite, r-cran-png, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rbitmoji_0.0.2-1.ca2004.1_all.deb
Size: 296984
MD5sum: 3e1d3c9a796eb86c756eda54d42807b9
SHA1: f16670e1eee399014169caf403baf3cadfb21e5d
SHA256: 03f146cdbb6b83893c894d55b95143708d732ae7f4d87371580167a03cf29468
SHA512: a8b4a48386cb25aa9676f47c4e8ef0cacc59ab43c3c410faff14c6b9959788a83e3351e65f28195d2b7c11de23ea29d5509be7c71723be2159956a36af888d3b
Homepage: https://cran.r-project.org/package=RBitmoji
Description: CRAN Package 'RBitmoji' (An R Wrapper to the Overly Complicated 'Bitmoji' API)
 An R wrapper to the overly complicated 'Bitmoji' API allowing users to
 access and plot various comic strips using their personalized 'Bitstrips'
 avatar (<https://www.bitmoji.com/>).

Package: r-cran-rbldatalicense
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-xts
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rbldatalicense_0.2.6-1.ca2004.1_all.deb
Size: 52696
MD5sum: 2344285d1dce522203ffe86b882e9afe
SHA1: ac10e2ea5fa412accd6e15a38e95589849419a09
SHA256: b219a384ec605fff09abe71f99ad14ec8d25d9f8ab7b6122f40e2c912430b9fa
SHA512: 16ac8d505cef0efae995940f3a0e3db13ca4a8896f39c14c3cbe73f0e92f5efe7e4b2d2c5f33997757d94171bbd71edb6941c6e0072a7d6a090b1ca2462f9b1a
Homepage: https://cran.r-project.org/package=RblDataLicense
Description: CRAN Package 'RblDataLicense' (R Interface to 'Bloomberg Data License')
 R interface to access prices and market data with the 'Bloomberg Data
 License' service from
 <https://www.bloomberg.com/professional/product/data-license/>.  As a
 prerequisite, a valid Data License from 'Bloomberg' is needed together with
 the corresponding SFTP credentials and whitelisting of the IP from which
 accessing the service.  This software and its author are in no way
 affiliated, endorsed, or approved by 'Bloomberg' or any of its affiliates.
 'Bloomberg' is a registered trademark.

Package: r-cran-rblt
Architecture: all
Version: 0.2.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 725
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hdf5r, r-cran-data.table, r-cran-xts, r-cran-dygraphs, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rblt_0.2.4.7-1.ca2004.1_all.deb
Size: 571884
MD5sum: fe2493289cf2508021748b42fe5544e5
SHA1: 771ed362b87d9e163d4382d8ec0323d62795ebd7
SHA256: bca9768a4268fb0a0293e27795d6a1fdd20deaad086c37a2944466055e91310c
SHA512: 0daba7e5493b932e31c11fd2de722e3830c1c08634ddea55fb42c86832cd70b1e28936eca40a9c58d3cb2767a09d63063af4b820bc4bef099a6005af755c061c
Homepage: https://cran.r-project.org/package=rblt
Description: CRAN Package 'rblt' (Bio-Logging Toolbox)
 An R-shiny application to visualize bio-loggers time series at a microsecond
 precision as Acceleration, Temperature, Pressure, Light intensity. It is
 possible to link behavioral labels extracted from 'BORIS' software
 <http://www.boris.unito.it> or manually written in a csv file.

Package: r-cran-rbmf
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-rbmf_1.1-1.ca2004.1_all.deb
Size: 78532
MD5sum: 0487fcf6ee5d8528940ca2de8af2ddd1
SHA1: 9a6bc1178a9cabd672de1d68f45ca47f31daf00d
SHA256: 4b98522054ff1babaed65ffc547af4798a6a6a29c514a598722a2bb04abaebcf
SHA512: eada2ec7ec5bc4382181c17a2a07acb1e818f402120567c42bbb41e88098cf879192029fcab34730dc4be3ff0a1db35e2b0347c2aaa08a79e1665f1d993653f4
Homepage: https://cran.r-project.org/package=rBMF
Description: CRAN Package 'rBMF' (Boolean Matrix Factorization)
 Provides four boolean matrix factorization (BMF) methods.  BMF has many
 applications like data mining and categorical data analysis. BMF is also
 known as boolean matrix decomposition (BMD) and was found to be an NP-hard
 (non-deterministic polynomial-time) problem. Currently implemented methods
 are 'Asso' Miettinen, Pauli and others (2008) <doi:10.1109/TKDE.2008.53>,
 'GreConD' R. Belohlavek, V. Vychodil (2010) <doi:10.1016/j.jcss.2009.05.002>
 , 'GreConDPlus' R. Belohlavek, V. Vychodil (2010)
 <doi:10.1016/j.jcss.2009.05.002> , 'topFiberM' A. Desouki, M. Roeder, A.
 Ngonga (2019) <arXiv:1903.10326>.

Package: r-cran-rbmi
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mmrm, r-cran-pkgload, r-cran-matrix, r-cran-r6, r-cran-assertthat
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-nlme, r-cran-testthat, r-cran-emmeans, r-cran-tibble, r-cran-mvtnorm, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-lubridate, r-cran-purrr, r-cran-ggplot2, r-cran-rstan, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rbmi_1.4.1-1.ca2004.1_all.deb
Size: 769252
MD5sum: 871878a7c6d9a9c039d25f1f4372d6ed
SHA1: 1a1523b06a491f7a43da7e4413224e7c13618c2f
SHA256: 0ff2319f83804c466781c04e18252aeed97cc4410f0f6f2e852f1a4343f0a036
SHA512: f17baa403571e8170856ae4db92eb9f3f3618cdd2a667a61e65f2fb1919bcbba8f5f76c46eed67543fa6aa7b01ebc31f20e812321a35fa90eaf677623f6a7868
Homepage: https://cran.r-project.org/package=rbmi
Description: CRAN Package 'rbmi' (Reference Based Multiple Imputation)
 Implements standard and reference based multiple imputation methods for
 continuous longitudinal endpoints (Gower-Page et al. (2022)
 <doi:10.21105/joss.04251>). In particular, this package supports
 deterministic conditional mean imputation and jackknifing as described in
 Wolbers et al.  (2022) <doi:10.1002/pst.2234>, Bayesian multiple imputation
 as described in Carpenter et al. (2013) <doi:10.1080/10543406.2013.834911>,
 and bootstrapped maximum likelihood imputation as described in von Hippel
 and Bartlett (2021) <doi: 10.1214/20-STS793>.

Package: r-cran-rbmiutils
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1645
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-purrr, r-cran-rbmi, r-cran-beeca, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr, r-cran-readr, r-cran-tibble, r-cran-ggplot2, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-rbmiutils_0.1.4-1.ca2004.1_all.deb
Size: 1422888
MD5sum: 6cb847cff97c6f9194641cdef03df481
SHA1: 3adc7e2d63671d3da0549f8274a5e940b0d7b6d8
SHA256: 86f8cfd4857e52f99f95d0c5365dd24374c91523ce1620f8411563b4e319b6f2
SHA512: 63bc7808e1f05bcaa4cdfd3a8efaa01b2f6ad229f5cef55c14e3a192ee04144bf04ecf82a8a6e537cd038622076fa8eaecc5adb4444fa41086d28c08035b2f63
Homepage: https://cran.r-project.org/package=rbmiUtils
Description: CRAN Package 'rbmiUtils' (Utility Functions to Support and Extend the 'rbmi' Package)
 Provides utility functions that extend the capabilities of the
 reference-based multiple imputation package 'rbmi'. It supports clinical
 trial analysis workflows with functions for managing imputed datasets,
 applying analysis methods across imputations, and tidying results for
 reporting.

Package: r-cran-rbmn
Architecture: all
Version: 0.9-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-bnlearn, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-rbmn_0.9-6-1.ca2004.1_all.deb
Size: 317092
MD5sum: deee7603c5dfa9e268724f0892df05fb
SHA1: 1c72218f0c67c9f9e16c5031dabdea50bc80eded
SHA256: 3bca6dc7c54fe5ddcd6d4c93d4effbb30e032c59a842988e913b8038cfaf4958
SHA512: bf25a34775712cbe215288f015ac7c1a8d1532d5c74ab48cfa59c83f8a2973b6616d7ecff5066c65fa557e81ad9b4abdd70748d4bc9f4d22a77ee976727a9c05
Homepage: https://cran.r-project.org/package=rbmn
Description: CRAN Package 'rbmn' (Handling Linear Gaussian Bayesian Networks)
 Creation, manipulation, simulation of linear Gaussian Bayesian networks from
 text files and more...

Package: r-cran-rbmrb
Architecture: all
Version: 2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rbmrb_2.1.7-1.ca2004.1_all.deb
Size: 112340
MD5sum: f54844ea9f7501af7885421a1fc6dfa8
SHA1: c102ad8d8804324d8adf1957c5f35a40d54621ee
SHA256: 44c1fb6ee09f2bcb6b7f6a6100c7ae59a11f374f3d306444f8917380edadf897
SHA512: dcd7e435756e2448da2346410c583ab96d05c6c8054da0748456cf774398d9531fd1c62ac566e8e2ac577e6a62e15bbd9f528831b4d84910058ca3d794ab6028
Homepage: https://cran.r-project.org/package=RBMRB
Description: CRAN Package 'RBMRB' (BMRB Data Access and Visualization)
 The Biological Magnetic Resonance Data Bank (BMRB,<http:// www.bmrb.io/>)
 collects, annotates, archives, and disseminates (worldwide in the public
 domain) the important spectral and quantitative data derived from
 NMR(Nuclear Magnetic Resonance) spectroscopic investigations of biological
 macromolecules and metabolites. This package provides an interface to BMRB
 database for easy data access and includes a minimal set of data
 visualization functions. Users are encouraged to make their own data
 visualizations using BMRB data.

Package: r-cran-rbnz
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-lubridate, r-cran-readxl, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rbnz_1.1.0-1.ca2004.1_all.deb
Size: 118068
MD5sum: c33247b220dffcce83cb1163d68c6680
SHA1: a3cd87091b21cd2071b1ec9784bbb8665764a712
SHA256: de62d54e9ba0707b74a03b2203ddaaadb5f329e7524c85cf8a26c0a71a51e783
SHA512: 4f732ed7496e632d8cd393bffc5aee6787114acc729bca52896db0341e1211e3ad7261306345345a0b43d4d8feacae1da226f4106dbc20a71635d70ffd03cb61
Homepage: https://cran.r-project.org/package=RBNZ
Description: CRAN Package 'RBNZ' (Download Data from the Reserve Bank of New Zealand Website)
 Provides a convenient way of accessing data published by the Reserve Bank of
 New Zealand (RBNZ) on their website, <https://www.rbnz.govt.nz/statistics>.
 A range of financial and economic data is provided in spreadsheet format
 including exchange and interest rates, commercial lending statistics,
 Reserve Bank market operations, financial institution statistics, household
 financial data, New Zealand debt security information, and economic
 indicators. This package provides a method to download those spreadsheets
 and read them directly into R.

Package: r-cran-rbokeh
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-maps, r-cran-jsonlite, r-cran-digest, r-cran-hexbin, r-cran-lazyeval, r-cran-pryr, r-cran-magrittr, r-cran-scales, r-cran-gistr
Suggests: r-cran-testthat, r-cran-data.table, r-cran-lattice, r-cran-lintr, r-cran-roxygen2, r-cran-latticeextra, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rbokeh_0.5.2-1.ca2004.1_all.deb
Size: 1190888
MD5sum: f1a44ef6fd6e7bd0af274cc46d8d4a2a
SHA1: 419015e0e10a122e78cbf1ce344e11654533980f
SHA256: 9ba159c25b305e541e73a51bea0e149b3998c8b5633c490986d9f353659c7716
SHA512: 45463cd61126e901efe275cebc661428efe565ec9b7a803f14afb80a10dc058728d318a2d18f6ae3db681d7d3c8dacb8d3de07dd10de476d7495dcf420357eba
Homepage: https://cran.r-project.org/package=rbokeh
Description: CRAN Package 'rbokeh' (R Interface for Bokeh)
 A native R plotting library that provides a flexible declarative interface
 for creating interactive web-based graphics, backed by the Bokeh
 visualization library <https://bokeh.pydata.org/>.

Package: r-cran-rbooster
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-earth, r-cran-hmisc
Suggests: r-cran-knitr, r-cran-imbalance, r-cran-rmarkdown, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-rbooster_1.1.0-1.ca2004.1_all.deb
Size: 177468
MD5sum: be3d9d9b80db9e4c114d966afa703c84
SHA1: be0543395d4037330e3233d7d4f70e99d6aa44c4
SHA256: a77e32a965501b7d801dad54c85ef6a33c9faddf1096fc2bfcf6b220bc03ab28
SHA512: 3b0c09940deeec03757edcb2de21aaca9f438ee1279b19e46444233a186bd9783aa26af71721e9ce5cd59c480b574717ad7bde0e8605d432fbe82286e9ec479e
Homepage: https://cran.r-project.org/package=rbooster
Description: CRAN Package 'rbooster' (AdaBoost Framework for Any Classifier)
 This is a simple package which provides a function that boosts pre-ready or
 custom-made classifiers. Package uses Discrete AdaBoost
 (<doi:10.1006/jcss.1997.1504>) and Real AdaBoost
 (<doi:10.1214/aos/1016218223>) for two class, SAMME
 (<doi:10.4310/SII.2009.v2.n3.a8>) and SAMME.R
 (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.

Package: r-cran-rbounds
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rbounds_2.2-1.ca2004.1_all.deb
Size: 60244
MD5sum: 35f24d0c34d00f74fdd8c50aea2f4a33
SHA1: 11777f58faecb4ad863bc060682fd588d543d30d
SHA256: 0f43f355494775c29137604603fe9307521d68fe18df47ae867bdbb3abd39a95
SHA512: f177b93ff200bdfbee3fdb020bbc29e445ef36c362ce3aa8ef208c70e036b84027fb951d6c9294fa3a38b554e836f237127dfbc10bf40c05856e2b6baf0c3a65
Homepage: https://cran.r-project.org/package=rbounds
Description: CRAN Package 'rbounds' (Perform Rosenbaum Bounds Sensitivity Tests for Matched andUnmatched Data)
 Takes matched and unmatched data and calculates Rosenbaum bounds for the
 treatment effect.  Calculates bounds for binary outcome data, Hodges-Lehmann
 point estimates, Wilcoxon signed-rank test for matched data and matched IV
 estimators, Wilcoxon sum rank test, and for data with multiple matched
 controls. The sensitivity analysis methods in this package are documented in
 Rosenbaum (2002) Observational Studies, <doi:10.1007/978-1-4757-3692-2>,
 Springer-Verlag.

Package: r-cran-rbpcurve
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr, r-cran-bbmisc, r-cran-checkmate, r-cran-shape, r-cran-teachingdemos
Suggests: r-cran-testthat, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-rbpcurve_1.3-1.ca2004.1_all.deb
Size: 55024
MD5sum: 847d362427f345a86071475917254db0
SHA1: 487c1a0f1af06e7a2242dee9b51f97111fc1737a
SHA256: 61c79b18ac0285ff2648ad862162d439dbe0eb56cc206475d78dd1ba6f33e652
SHA512: 5cda4dec8684ad95634798d498202d961c4bcb6bd748a669e58edcc7447e464cc1558ae717c3507b833496a9b6250410d9d495f9cc131180374e4d68b1d90dca
Homepage: https://cran.r-project.org/package=RBPcurve
Description: CRAN Package 'RBPcurve' (The Residual-Based Predictiveness Curve)
 The RBP curve is a visual tool to assess the performance of prediction
 models.

Package: r-cran-rbtc
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjson, r-cran-httr, r-cran-openssl, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-rbtc_0.1-7-1.ca2004.1_all.deb
Size: 401800
MD5sum: 4e54d4b949a7bfba2d8b1c212fa4bd57
SHA1: a2ca1a68b4ab2409a84eb9ea1edc813f3ef9e4e7
SHA256: 3e1628af703d7b7b73478d0faf1496c40eca72a8b31860105ef26157ed75c426
SHA512: b6e7aab3040af3642b552b2fc46035a874ff83fbb7accca3b3605d5dba98b82141e110f4d3083b6aa0d461add3d5d4eabf33d4a4e494ef4b17b574da148f7ae6
Homepage: https://cran.r-project.org/package=rbtc
Description: CRAN Package 'rbtc' (Bitcoin API)
 Implementation of the RPC-JSON API for Bitcoin and utility functions for
 address creation and content analysis of the blockchain.

Package: r-cran-rbtest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-mice, r-cran-psych
Filename: pool/dists/focal/main/r-cran-rbtest_1.1-1.ca2004.1_all.deb
Size: 28924
MD5sum: 2815d063ff0ea01708593844d9c562eb
SHA1: bfbb10cff8f0be069d3ca67c6fc14ba5166017e3
SHA256: 76a00e911340bd07f26f89a67ad970e8bc90b5bbc4ad94815e07e40336181f68
SHA512: 83ff83e923e7e97a7cff6f6039bfd84130ff9b5cdeb62adafd7bae772cb01ccd134e85cc805e0575af50d9acd6beb2cd3f689e3b11d4299226223ceffaf00474
Homepage: https://cran.r-project.org/package=RBtest
Description: CRAN Package 'RBtest' (Regression-Based Approach for Testing the Type of Missing Data)
 The regression-based (RB) approach is a method to test the missing data
 mechanism.  This package contains two functions that test the type of
 missing data (Missing Completely At Random vs Missing At Random) on the
 basis of the RB approach. The first function applies the RB approach
 independently on each variable with missing data, using the completely
 observed variables only. The second function tests the missing data
 mechanism globally (on all variables with missing data) with the use of all
 available information. The algorithm is adapted both to continuous and
 categorical data.

Package: r-cran-rbtt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-rbtt_0.1.0-1.ca2004.1_all.deb
Size: 34456
MD5sum: 5fbb4fff7212fea96c5145e446e8d705
SHA1: 2e14fdbda9cb359b2b5f622e524dcb15b48fa2aa
SHA256: 1ec2b4fa1bb373980bcfec2a0c00e9e8824667dc65aeb4d2ccf24506b89e6a70
SHA512: c352a1a0cfb813e865de7e0d5023036683424dfe22063d8fe3f145ac7b2f730ce6ed9abcf178d450139245ca1b63b317cf1e5fc5cbc26dd4b9ecf57d0920fd04
Homepage: https://cran.r-project.org/package=rbtt
Description: CRAN Package 'rbtt' (Alternative Bootstrap-Based t-Test Aiming to Reduce Type-I Errorfor Non-Negative, Zero-Inflated Data)
 Tu & Zhou (1999)
 <doi:10.1002/(SICI)1097-0258(19991030)18:20%3C2749::AID-SIM195%3E3.0.CO;2-C>
 showed that comparing the means of populations whose data-generating
 distributions are non-negative with excess zero observations is a problem of
 great importance in the analysis of medical cost data. In the same study, Tu
 & Zhou discuss that it can be difficult to control type-I error rates of
 general-purpose statistical tests for comparing the means of these
 particular data sets. This package allows users to perform a modified
 bootstrap-based t-test that aims to better control type-I error rates in
 these situations.

Package: r-cran-rbundler
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-rbundler_0.3.7-1.ca2004.1_all.deb
Size: 53324
MD5sum: 6e64cd56ef8b54bd2c609ee7d10b47f4
SHA1: 8fbbd8f1c9722d7c17ced10af78343dd90faec21
SHA256: e6a8f0a558e63401e21d11d2d911b1010b27b7a5e6bac66e9590840d1eb538eb
SHA512: 5e1704a966c2dec9b3fce9fd7bad42c5e87c714a820c9c4eabfd63adf1bdbdbc9e3d1c2ddc41f976e4022771f4782d4a4ea73b5c8353ca5d4134afb70fdf2280
Homepage: https://cran.r-project.org/package=rbundler
Description: CRAN Package 'rbundler' (Rbundler manages an application's dependencies systematicallyand repeatedly)
 Rbundler manages a project-specific library for dependency package
 installation. By specifying dependencies in a DESCRIPTION file in a
 project's root directory, one may install and use dependencies in a
 repeatable fashion without requiring manual maintenance.  rbundler creates a
 project-specific R library in `PROJECT_ROOT/.Rbundle` (by default) and a
 project-specific `R_LIBS_USER` value, set in `PROJECT_ROOT/.Renviron`. It
 supports dependency management for R standard "Depends", "Imports",
 "Suggests", and "LinkingTo" package dependencies. rbundler also attempts to
 validate and install versioned dependencies, such as ">=", "==", "<=". Note
 that, due to the way R manages package installation, differing nested
 versioned dependencies are not allowed. For example, if your project depends
 on packages A (== 1), and B (== 2), but package A depends on B (== 1), then
 a nested dependency violation will cause rbundler to error out.

Package: r-cran-rbw
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-ebal, r-cran-knitr, r-cran-survey, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rbw_0.3.2-1.ca2004.1_all.deb
Size: 1266932
MD5sum: b3820c8da629be1c169503113e2caf97
SHA1: 101ead835f2f6ca1a4b6e441781a012050baf56a
SHA256: 0c10882af46e99172ba8200455089481bf1cfb874b6d3259f0599b316472a10d
SHA512: eb38924a7065752ca2eabf303bf98f9a81cf399466e7667f1a122f49b3afaf719e6a2be6082a0862bba6c6a6df8a4ca026b7994c8ec40b6fe0c6902c49dc6b22
Homepage: https://cran.r-project.org/package=rbw
Description: CRAN Package 'rbw' (Residual Balancing Weights for Marginal Structural Models)
 Residual balancing is a robust method of constructing weights for marginal
 structural models, which can be used to estimate (a) the average treatment
 effect in a cross-sectional observational study, (b) controlled
 direct/mediator effects in causal mediation analysis, and (c) the effects of
 time-varying treatments in panel data (Zhou and Wodtke 2020
 <doi:10.1017/pan.2020.2>). This package provides three functions,
 rbwPoint(), rbwMed(), and rbwPanel(), that produce residual balancing
 weights for estimating (a), (b), (c), respectively.

Package: r-cran-rbyexample
Architecture: all
Version: 0.0.100-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rbyexample_0.0.100-1.ca2004.1_all.deb
Size: 110000
MD5sum: 2bc137cf803c9b65baedd59a66901381
SHA1: 448498f03dadae75a672462d72db38c4f070693b
SHA256: 49044616faf05bb1d30af1a16104002c0144ffc63566d6b2546cea4abea26ce0
SHA512: 6ab56b41a4790127ceb52aff2c35d53bb2b39eafcaf19f306aa981f3d6a76803082465bd35a2f74a9b7ac3a873c9e11e19e72640669134a566ee723492e4cde7
Homepage: https://cran.r-project.org/package=RbyExample
Description: CRAN Package 'RbyExample' (Data for the Book "R by Example")
 Data for the examples and exercises in the book "R by Example".  Jim Albert
 and Maria Rizzo (2012, ISBN 978-1-4614-1365-3).

Package: r-cran-rca
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-rca_2.0-1.ca2004.1_all.deb
Size: 25368
MD5sum: 2673134d10cf04e569ce21418a5bec70
SHA1: 01592d96064995a7839428d00631738382b8c1e3
SHA256: ba87c70298397fe8cae1544ca4952f14ff40936ace3b1cf1563ce49d12a6b8dd
SHA512: 0992f002a9b2c451db51d7e6ae3eeed67ffab46c3888f18efe56735601d9220c72967d86a1bc4fb6c83211bec382a20a829851ed63f1ec33f9b3b28091963966
Homepage: https://cran.r-project.org/package=RCA
Description: CRAN Package 'RCA' (Relational Class Analysis)
 Relational Class Analysis (RCA) is a method for detecting heterogeneity in
 attitudinal data (as described in Goldberg A., 2011, Am. J. Soc, 116(5)).

Package: r-cran-rcage
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1983
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ff, r-cran-clustgeo, r-cran-mass, r-cran-fields, r-cran-ggplot2, r-cran-pracma, r-cran-raster, r-cran-rgeos, r-cran-sp, r-cran-gridextra, r-cran-rlang, r-cran-matrix, r-cran-sf, r-cran-laplacesdemon
Filename: pool/dists/focal/main/r-cran-rcage_1.2-1.ca2004.1_all.deb
Size: 1915672
MD5sum: 782b88e2176f00bdc696a217f1e5910e
SHA1: c027551508ae0631f669f9c7a9a7380321459cd7
SHA256: ef31c0332be0789e1b03743efb8fa25dd1938b5b0e6ade57d421cf5cc2a8a90f
SHA512: 5ceb84ed27a753bbc2c64083dd1732d2b0251f27c2a653981b6804b26ecbf74c6d05259339753a8669d3f5ab323cad6634f058b0f39fd290a12847f520eeda4b
Homepage: https://cran.r-project.org/package=rcage
Description: CRAN Package 'rcage' (Regionalization of Multiscale Spatial Processes)
 Regionalization of multiscale spatial processes based on a criterion for
 spatial aggregation error. The multiscale representation is a truncated
 Karhunen-Loaeve expansion using Obled-Creutin eigenfunctions. The method is
 incorporated within a Bayesian framework using an MCMC implementation of a
 latent spatial model. Bradley, J. R., Wikle, C. K., and Holan, S. H. (2017)
 <doi:10.1111/rssb.12179>.

Package: r-cran-rcaiman
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4993
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-filenamer, r-cran-magrittr, r-cran-colorspace, r-cran-terra, r-cran-testthat, r-cran-pracma, r-cran-rdpack, r-cran-spatial, r-cran-lidr
Suggests: r-cran-autothresholdr, r-cran-conicfit, r-bioc-ebimage, r-cran-bbmle, r-cran-imager, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-rcaiman_1.2.2-1.ca2004.1_all.deb
Size: 4665452
MD5sum: 12249128556b7f0d3614b3519b4b5905
SHA1: d6e56579c363358461a9dc6f1a926f865d2c38e1
SHA256: 24e19acd48e7bee2b4ec4b48ce5f6be20453a230efa75347771ba3479d3652a6
SHA512: 66471448f65abf5ade576078cde4abc53b80ce33a820a5871f48ce6131bd9723dd1ddbd7f9c9d2d831cdfb81e6c36869e7410dabbb69ee4a3d6836b46daa3288
Homepage: https://cran.r-project.org/package=rcaiman
Description: CRAN Package 'rcaiman' (CAnopy IMage ANalysis)
 Classify hemispherical photographs of the plant canopy with algorithms
 specially developed for such a task and well documented in Díaz and Lencinas
 (2015) <doi:10.1109/lgrs.2015.2425931> and Díaz and Lencinas (2018)
 <doi:10.1139/cjfr-2018-0006>. It supports non-circular hemispherical
 photography, such as those acquired with 15mm lenses or with auxiliary
 fish-eye lenses attached to mobile devices.  For smartphone-based
 hemispherical photography see Díaz (2023) <doi:10.1111/2041-210x.14059>.
 Most of the functions also support restricted view photography.

Package: r-cran-rcal
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3606
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-trust
Filename: pool/dists/focal/main/r-cran-rcal_2.0-1.ca2004.1_all.deb
Size: 3495364
MD5sum: 3ee9e1d5e8db7d2eecd864e160d24283
SHA1: 86516c07223fed2d24f1b7a5d7e606766c4f20c6
SHA256: ae35525192ec77d95461772decea28452cf43dfcd6ef53e544e759dda9587871
SHA512: 4e4b8015edc6c464987df809b351d3ce9672232b008b03efcd57ab814015f295994511f7149f2aec6b92dc83fa6c80f1f02652412c02a10c14256bf3243eb215
Homepage: https://cran.r-project.org/package=RCAL
Description: CRAN Package 'RCAL' (Regularized Calibrated Estimation)
 Regularized calibrated estimation for causal inference and missing-data
 problems with high-dimensional data, based on Tan (2020a)
 <doi:10.1093/biomet/asz059>, Tan (2020b) <doi:10.1214/19-AOS1824> and Sun
 and Tan (2020) <arXiv:2009.09286>.

Package: r-cran-rcan
Architecture: all
Version: 1.3.91-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2837
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcan_1.3.91-1.ca2004.1_all.deb
Size: 2002828
MD5sum: 23cd878a43f549670c176eff202a4ad6
SHA1: ab9b598945110c18600101317ff3ddd4e43a701f
SHA256: 813b42b849818efff76d12d5b5b2d772abbe79ebbfa71a0a99533d9dc3ec2421
SHA512: 135ac98c1054262765b0d530d6165173fd902cc1526238cd033394a587120044053709ace9d58643a0bbb29d2bcc03560293c70c5b176bba0c4500a8b4c17797
Homepage: https://cran.r-project.org/package=Rcan
Description: CRAN Package 'Rcan' (Cancer Registry Data Analysis and Visualisation)
 Tools for basic and advance cancer statistics and graphics.  Groups
 individual data, merges registry data and population data, calculates
 age-specific rate, age-standardized rate, cumulative risk, estimated annual
 percentage rate with standards error. Creates graphics across variable and
 time, such as age-specific trends, bar chart and period-cohort trends.

Package: r-cran-rcane
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcane_1.0-1.ca2004.1_all.deb
Size: 239720
MD5sum: d8bb780961bee36b8445526f56c047e6
SHA1: ba9a321ab9397359e9e0705a039893492d2bf1e8
SHA256: f0a1a959cc93ed68571ab91fd22ece8b8ad5540b469acf254fc3781b705a27ee
SHA512: 5503230e7aed735cdf84a6ceff6c32ea99fd53659c042a582625b5c8be55a834887a0c28bc785da3f89bf4cc331789de3a304e965064c1477b31dd958859aaf0
Homepage: https://cran.r-project.org/package=rcane
Description: CRAN Package 'rcane' (Different Numeric Optimizations to Estimate ParameterCoefficients)
 There are different numeric optimizations which are used in order to
 estimate coefficients in models such as linear regression and neural
 networks. This package covers parameter estimation in linear regression
 using different methods such as batch gradient descent, stochastic gradient
 descent, minibatch gradient descent and coordinate descent. Kiwiel,
 Krzysztof C (2001) <doi:10.1007/PL00011414> Yu Nesterov (2004)
 <ISBN:1-4020-7553-7> Ferguson, Thomas S (1982)
 <doi:10.1080/01621459.1982.10477894> Zeiler, Matthew D (2012)
 <arXiv:1212.5701> Wright, Stephen J (2015) <arXiv:1502.04759>.

Package: r-cran-rcanvec
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-rgdal
Suggests: r-cran-prettymapr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcanvec_0.2.1-1.ca2004.1_all.deb
Size: 103996
MD5sum: 77a3916e96d7263e9bea612563d0d2e6
SHA1: 6bebdce6fc5bca2e5b5f5542c047793e8d961417
SHA256: af99a4b2267b3e92b6bc8b49419ba866e055121240513b8d5f8daf8005ca2759
SHA512: 45a0a1572461cb75484056e87f0a225eaca8553dbbe4e100a09f539c1e84d42423df53764c2f76c98b0fd1a288056da776a3448614ec2642175d4b92edba497d
Homepage: https://cran.r-project.org/package=rcanvec
Description: CRAN Package 'rcanvec' (Access and Plot CanVec and CanVec+ Data for Rapid BasemapCreation in Canada)
 Provides an interface to the National Topographic System (NTS), which is the
 way in which a number of freely available Canadian datasets are organized.
 CanVec and CanVec+ datasets, which include all data used to create Canadian
 topographic maps, are two such datasets that are useful in creating
 vector-based maps for locations across Canada. This packages searches CanVec
 data by location, plots it using pretty defaults, and exports it to human-
 readable shapefiles for use in another GIS.

Package: r-cran-rcapture
Architecture: all
Version: 1.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcapture_1.4-4-1.ca2004.1_all.deb
Size: 438384
MD5sum: 6117cc02ca0a4b258ee21d15d5ab6c12
SHA1: e2f0636267717ba5c39f1cf9658d6b4e0fe5333b
SHA256: 0c62b83ec1e5d70f29b03b866a32c69a4ad7fe69449ee0a28f06b909e6cec236
SHA512: 55b8c2a94e5926553bddb1a8c90b666534392b30da9abfd0f8b2d1f0cf7a4e166482f8a4aa03cd02d0ecc5467c747447136c2e56ae7e6c42be0af642411d5412
Homepage: https://cran.r-project.org/package=Rcapture
Description: CRAN Package 'Rcapture' (Loglinear Models for Capture-Recapture Experiments)
 Estimation of abundance and other demographic parameters for closed
 populations, open populations and the robust design in capture-recapture
 experiments using loglinear models.

Package: r-cran-rcarb
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-interp, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rcarb_0.1.6-1.ca2004.1_all.deb
Size: 221476
MD5sum: 2f289ba4b0b02a1a55546fd2d158092f
SHA1: d49cf594c9c5e273c0d7748b183a26664de595f2
SHA256: 3464fd0359a5c6ca9a4ed774238c33648671822aaa43c1b9ee7122cedece7dd2
SHA512: bc28a6201f741136dd4c2e30f9caf2e5df3cc9a7a3f6b4fdde17c61e4313f94287cafc8b07554863a246d5d44f3c897627ce5e2553ab91a67c1f70479dcae38e
Homepage: https://cran.r-project.org/package=RCarb
Description: CRAN Package 'RCarb' (Dose Rate Modelling of Carbonate-Rich Samples)
 Translation of the 'MATLAB' program 'Carb' (Nathan and Mauz 2008
 <DOI:10.1016/j.radmeas.2007.12.012>; Mauz and Hoffmann 2014) for dose rate
 modelling for carbonate-rich samples in the context of trapped charged
 dating (e.g., luminescence dating) applications.

Package: r-cran-rcarbon
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3072
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-spatstat.geom, r-cran-spatstat.model, r-cran-spatstat.explore, r-cran-spatstat.linnet, r-cran-spatstat, r-cran-snow, r-cran-dosnow, r-cran-foreach, r-cran-iterators, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcarbon_1.5.1-1.ca2004.1_all.deb
Size: 1668484
MD5sum: a82108252a83891dae0e6214b0e9e691
SHA1: c8a179961ce76d93f6bad560808099f059804681
SHA256: 446fe368c4cb23bcb4592d18c52e5ba91803ac56ef54ac0d21959d172fdedd81
SHA512: fc8ad182854bdfc2026d4ecdb84f2d35f212fe9e721e4d7812007ff4f7685c4cbdff7a78aa3e9c7bc67b60905d658838c7d06cf4fa0bfcda041ea0df4a5e971a
Homepage: https://cran.r-project.org/package=rcarbon
Description: CRAN Package 'rcarbon' (Calibration and Analysis of Radiocarbon Dates)
 Enables the calibration and analysis of radiocarbon dates, often but not
 exclusively for the purposes of archaeological research. It includes
 functions not only for basic calibration, uncalibration, and plotting of one
 or more dates, but also a statistical framework for building demographic and
 related longitudinal inferences from aggregate radiocarbon date lists,
 including: Monte-Carlo simulation test (Timpson et al 2014
 <doi:10.1016/j.jas.2014.08.011>), random mark permutation test (Crema et al
 2016 <doi:10.1371/journal.pone.0154809>) and spatial permutation tests
 (Crema, Bevan, and Shennan 2017 <doi:10.1016/j.jas.2017.09.007>).

Package: r-cran-rcartocolor
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-covr, r-cran-mass, r-cran-testthat, r-cran-vdiffr, r-cran-sf, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-rcartocolor_2.1.1-1.ca2004.1_all.deb
Size: 218444
MD5sum: 8dbfd09b0911fb49c9d7bda4ed79d659
SHA1: 5065c6b25a6f63c66cfccdb70295ee4d9cdece24
SHA256: 5e0b1d07eb3526d89d29c37ae4f605524f20594f3c60b8c14326ebd07fe643c6
SHA512: 7224c456d7f3614fe2331f367f223ee527ed10fae4c6cf849f64125ad501e8768cf4e820aa65672aae93ae6da7e4ae7e535c0154925865fe02329a202e74fac8
Homepage: https://cran.r-project.org/package=rcartocolor
Description: CRAN Package 'rcartocolor' ('CARTOColors' Palettes)
 Provides color schemes for maps and other graphics designed by 'CARTO' as
 described at <https://carto.com/carto-colors/>.  It includes four types of
 palettes: aggregation, diverging, qualitative, and quantitative.

Package: r-cran-rcat
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 388
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-rgdal, r-cran-sp
Suggests: r-cran-rgeos, r-cran-rgbif, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rcat_0.1.6-1.ca2004.1_all.deb
Size: 333692
MD5sum: 4ef2c1b8503dc8e16be3168e2fe96efb
SHA1: 7af41c2ff966e8685e87555014ad372145c4a28b
SHA256: eb96a8976f92b492fa580443f1987cd7cffb2d4f343136035a65ffbe0e071606
SHA512: ec998f6294d084b63976bf13c3d7589fadcc84e23546d9241665c8613f4f773c9170067c55b9031d1de30b487a8923f2021252bd0b0e4b109f83a7f46a57f0bf
Homepage: https://cran.r-project.org/package=rCAT
Description: CRAN Package 'rCAT' (Conservation Assessment Tools)
 A set of tools and functions to help with species conservation assessments
 (Red List threat assessments). Includes Extent of occurrence, Area of
 Occupancy, Minimum Enclosing Rectangle, a geographic Projection Wizard and
 Species batch processing.

Package: r-cran-rcausalegm
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reticulate
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcausalegm_0.3.3-1.ca2004.1_all.deb
Size: 176928
MD5sum: 1c6cbbfd7f221af6a6963c2720384d67
SHA1: 2c49dd1a8b98192cc3dcf2e34ab0c951e6e58627
SHA256: 3b2a87665cabc24b21dbf46ebb25f21b68bc491a199d4a67c1762cee8049a1a7
SHA512: 40b2d2b312fefe71ece00a35551aa548e7667c974f8e3c5ac0fd856a8d8664c17cb073699edd8c4bc52622ee6234715f898bda6dae27cf0e95ffac950d68f4fb
Homepage: https://cran.r-project.org/package=RcausalEGM
Description: CRAN Package 'RcausalEGM' (A General Causal Inference Framework by Encoding GenerativeModeling)
 CausalEGM is a general causal inference framework for estimating causal
 effects by encoding generative modeling, which can be applied in both
 discrete and continuous treatment settings. A description of the methods is
 given in Liu (2022) <arXiv:2212.05925>.

Package: r-cran-rcausim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4207
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-tidyr, r-cran-igraph
Suggests: r-cran-broom, r-cran-ggnetwork, r-cran-ggpubr, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rcausim_0.1.1-1.ca2004.1_all.deb
Size: 1583312
MD5sum: c8746b3a0ad7dd8c0b213d9cd1965fef
SHA1: 5e10be6784d1d0e1ff02c1a2c4f9d523e8603322
SHA256: 432966576fd41d845ca7b1460f1b533d25477274b84de87c2d3419c0de3eecae
SHA512: a5dc0d584da856dcff2a2526abe1c3bc2be12ff3b73657d1e6225e1b6b3b976c352618c7155f4c503da36d308436aa385baf10d6b2cb9c7c365136a7b77b9a10
Homepage: https://cran.r-project.org/package=rcausim
Description: CRAN Package 'rcausim' (Generate Causally-Simulated Data)
 Generate causally-simulated data to serve as ground truth for evaluating
 methods in causal discovery and effect estimation. The package provides
 tools to assist in defining functions based on specified edges, and
 conversely, defining edges based on functions. It enables the generation of
 data according to these predefined functions and causal structures. This is
 particularly useful for researchers in fields such as artificial
 intelligence, statistics, biology, medicine, epidemiology, economics, and
 social sciences, who are developing a general or a domain-specific methods
 to discover causal structures and estimate causal effects. Data simulation
 adheres to principles of structural causal modeling. Detailed methodologies
 and examples are documented in our vignette, available at
 <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rcausim/blob/master/doc/causal_simulation_exemplar.html>.

Package: r-cran-rcba
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-arules, r-cran-r.utils, r-cran-tunepareto
Filename: pool/dists/focal/main/r-cran-rcba_0.4.3-1.ca2004.1_all.deb
Size: 94756
MD5sum: de4d7028cb8c1bf9bcc84da029e055b6
SHA1: 12da6aeeb1e635bbd43b5c646b218c5dae44ce29
SHA256: 3a90cf39fac7494106e9b76993231615983b784c5aa4dc9061eccb1d51121e0e
SHA512: 7126d16ef3b07d993bd793c39ed6e137b9553b6acf2c6038d92f5366467c3ea54826f77b8972f039319cfb6422b6a786b3a851aff473a125e9bb386bd6200639
Homepage: https://cran.r-project.org/package=rCBA
Description: CRAN Package 'rCBA' (CBA Classifier)
 Provides implementations of a classifier based on the "Classification Based
 on Associations" (CBA). It can be used for building classification models
 from association rules. Rules are pruned in the order of precedence given by
 the sort criteria and a default rule is added. The final classifier labels
 provided instances. CBA was originally proposed by Liu, B. Hsu, W. and Ma,
 Y. Integrating Classification and Association Rule Mining. Proceedings
 KDD-98, New York, 27-31 August. AAAI. pp80-86 (1998, ISBN:1-57735-070-7).

Package: r-cran-rcbalance
Architecture: all
Version: 1.8.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-plyr, r-cran-rlemon
Suggests: r-cran-optmatch, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcbalance_1.8.8-1.ca2004.1_all.deb
Size: 75352
MD5sum: 6484a95d2242fa4979029b9373e208a5
SHA1: 48aae0b89fcce5abbb296ab679bc2415eb2a7cd6
SHA256: 3b5449e6fe6ae4fe24ee9b485a37d6ec2647299948882e638edc180257bee0df
SHA512: 482735039c06bb092844c5990ddd1667a44f5b04f2356e58fd41080d8d2028e17a49b944bae6059f74d625c5258c600bb709fe7f6c7c5e8e6e425b72ac8c0bee
Homepage: https://cran.r-project.org/package=rcbalance
Description: CRAN Package 'rcbalance' (Large, Sparse Optimal Matching with Refined Covariate Balance)
 Tools for large, sparse optimal matching of treated units and control units
 in observational studies.  Provisions are made for refined covariate balance
 constraints, which include fine and near-fine balance as special cases.
 Matches are optimal in the sense that they are computed as solutions to
 network optimization problems rather than greedy algorithms.  See Pimentel,
 et al.(2015) <doi:10.1080/01621459.2014.997879> and Pimentel (2016), Obs.
 Studies 2(1):4-23. The rrelaxiv package, which provides an alternative
 solver for the underlying network flow problems, carries an academic license
 and is not available on CRAN, but may be downloaded from Github at
 <https://github.com/josherrickson/rrelaxiv/>.

Package: r-cran-rcbr
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-rmosek, r-cran-rebayes, r-cran-orthopolynom, r-cran-formula, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-rcbr_0.6.2-1.ca2004.1_all.deb
Size: 154608
MD5sum: 1cd050ec0f4762f47ea586e8d4668a5a
SHA1: 0f5348717f1aeea7709f868b609b2e0f81da190d
SHA256: 1b0b7b57eb2824667cc060bf2c25d24e00d923ce04afd877b2654bb236e69929
SHA512: a969a25a6ffa5890921233159c6ce6df7cfb35680dbfc51c8773f056fcab28debc174b009b61193b7d3c577ee22063dbf44191b477cb2c90dc74cd74ca71a6c9
Homepage: https://cran.r-project.org/package=RCBR
Description: CRAN Package 'RCBR' (Random Coefficient Binary Response Estimation)
 Nonparametric maximum likelihood estimation methods for random coefficient
 binary response models and some related functionality for sequential
 processing of hyperplane arrangements.  See J. Gu and R. Koenker (2020)
 <DOI:10.1080/01621459.2020.1802284>.

Package: r-cran-rcbsubset
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-plyr, r-cran-rcbalance, r-cran-rlemon
Suggests: r-cran-testthat, r-cran-optmatch
Filename: pool/dists/focal/main/r-cran-rcbsubset_1.1.7-1.ca2004.1_all.deb
Size: 56208
MD5sum: 1ba356312b678bd46e83cf468e2b4ad5
SHA1: 74fed67eb2fa907efbf1c6f34a3cf67c2fae7a6a
SHA256: 8e9b3e3a0be2718df29553d531aa28a6a48256f6a2c781b21b8a6a4654a70ead
SHA512: 90202b8b744cdaecdb05b8921ceb3fac6e6788e0350b5b8b614516df259afa03f9743a076f12ab2f44f83fa55d8cb47aab293e2cf3ea6f74addca7f760192dba
Homepage: https://cran.r-project.org/package=rcbsubset
Description: CRAN Package 'rcbsubset' (Optimal Subset Matching with Refined Covariate Balance)
 Tools for optimal subset matching of treated units and control units in
 observational studies, with support for refined covariate balance
 constraints, (including fine and near-fine balance as special cases). A
 close relative is the 'rcbalance' package.  See Pimentel, et al.(2015)
 <doi:10.1080/01621459.2014.997879> and Pimentel and Kelz (2020)
 <doi:10.1080/01621459.2020.1720693>. The rrelaxiv package, which provides an
 alternative solver for the underlying network flow problems, carries an
 academic license and is not available on CRAN, but may be downloaded from
 Github at <https://github.com/josherrickson/rrelaxiv/>.

Package: r-cran-rcc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcc_1.0.0-1.ca2004.1_all.deb
Size: 22260
MD5sum: eccf1640bd51a09f19bc81e9068a68c2
SHA1: 48480204ebf36f80f95d3f61bd6686cf7f0a6a11
SHA256: 341cafb3d9f204cdb725834519333171801ff5ddad7a66abed9eea6df2f45806
SHA512: af44ea4ba5c3c74208f7d24b91ef3f05aad4ff830d3b21f1adaee2e2b496774fdcffb8bd971e9f0be45e3ab069802e7f2e4096b121c6e06fcb7b63e8aef67556
Homepage: https://cran.r-project.org/package=rcc
Description: CRAN Package 'rcc' (Parametric Bootstrapping to Control Rank Conditional Coverage)
 Functions to implement the parametric and non-parametric bootstrap
 confidence interval methods described in Morrison and Simon (2017)
 <arXiv:1702.06986>.

Package: r-cran-rccdates
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rccmisc
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rccdates_1.0.0-1.ca2004.1_all.deb
Size: 48276
MD5sum: f8ca621d8573dafc51e778c02ec8396e
SHA1: dbae3cc74578b0cf3c23b064a46e5d35b3d4979e
SHA256: c666eb722b46556c72beea3b497619ba017b80fe56aca4dbea3283feb5935cf5
SHA512: 56772f3c5adf311a0f4342d147172886bdd1d29741fb366ff19494b14ff9e1e3e8541b635afbc13adc74e229fd9f72e642d80f2326581f1b4318b2fc08a32146
Homepage: https://cran.r-project.org/package=rccdates
Description: CRAN Package 'rccdates' (Date Functions for Swedish Cancer Data)
 Identify, convert and handle dates as used within the Swedish cancer
 register and associated cancer quality registers in Sweden. Especially the
 cancer register sometimes use nonstandard date variables where day and/or
 month can be "00" or were the date format is a mixture of"%Y-%m-%d",
 "%Y%m%d" and "%y%V" (two digit year and week number according to ISO
 8601,which is not completely supported by R).These dates must be
 approximated to valid dates before being used in for example survival
 analysis. The package also includes some convenient functions for
 calculating "lead times" (relying on 'difftime') and introduce a "year"
 class with relevant S3-methods to handle yearly cohort.

Package: r-cran-rccmisc
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-checkpoint, r-cran-testthat, r-cran-r.rsp, r-cran-rvest, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rccmisc_0.3.7-1.ca2004.1_all.deb
Size: 72072
MD5sum: 70e0778cf9918dc5abe79a3f0394053d
SHA1: 083e48d5601b675eaa4ad7c9d3d175daa8a071cd
SHA256: 49222b35d23a8b8fda628e937eb317b01f0d1f4d4869ca3b4711badce9ee7f4c
SHA512: fbe0253899253c998b2ffc7127d8f02f4f6c0f4c65c6340f1ab14f80668cbce9a12f718ad77efedd536f667ab02934ee6bdce9102304deeb964688b221f0e8f7
Homepage: https://cran.r-project.org/package=rccmisc
Description: CRAN Package 'rccmisc' (Miscellaneous R Functions for Swedish Regional Cancer Centers)
 Functions either required by other Swedish Regional Cancer Center packages
 or standalone functions outside the scope of other packages.

Package: r-cran-rccola
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-redcapapi, r-cran-getpass, r-cran-yaml, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-rccola_1.0.2-1.ca2004.1_all.deb
Size: 20048
MD5sum: ecbc9aa3d058b51921d54efa7420e0de
SHA1: bab1db3ab15512b1738d83455c217d72ef6ca4da
SHA256: 6ee1696ba88147de8f08bf5bd89b33c89b3e22bd43271e35bc48d6c8a06af66e
SHA512: 3e0a0dafbdceb61f641eff165c45262ff093f9bd9dc6f648ac5e785d246cc8d0b5207832d955213697dee80723567c2447669960b7cff9d055aa91a44eb2e99a
Homepage: https://cran.r-project.org/package=rccola
Description: CRAN Package 'rccola' (Safely Manage API Keys and Load Data from a REDCap or OtherSource)
 The handling of an API key (misnomer for password) for protected data can be
 difficult. This package provides secure convenience functions for entering /
 handling API keys and pulling data directly into memory. By default it will
 load from REDCap instances, but other sources are injectable via inversion
 of control.

Package: r-cran-rccpca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rccpca_0.1.0-1.ca2004.1_all.deb
Size: 14148
MD5sum: b55add02bc9269eef1adf12417fe55ad
SHA1: 3c37322d0b47ccf4b22dfafcd5f3b81ff1cb7f31
SHA256: 59acc0a52774135420b7d0e1ab2a8938aca396ff534cd0d1df178fa128e7da9f
SHA512: 7826d3122564e8ebea1ee16d617a34cc952497abee6b014232de840a9366dea27aaafaade9918ed186e690f72979ba0557e4546e62a38645843a8c95f516ccea
Homepage: https://cran.r-project.org/package=RCCPCA
Description: CRAN Package 'RCCPCA' ("Retained Component Criterion for Principal Component Analysis")
 The RCC_PCA criterion is a tool to determine the optimal number of
 components to retain in PCA;See Alshammri (2021).

Package: r-cran-rcdea
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-benchmarking
Filename: pool/dists/focal/main/r-cran-rcdea_1.0-1.ca2004.1_all.deb
Size: 55724
MD5sum: 9f0769eac821f52b32ad662381fa0c89
SHA1: c2bf07a8cf206f8039084811c4d83a3aef185638
SHA256: d9f1f616c18f3093d6d54002bdb091c984e8f26697e7a5368471e3568ccf1131
SHA512: 0361b1ea2ea1e1d7ff43d358d61a05486f7c07ede0fb0dc51b7ebc5640d38abeac800b9ecf2833a8d180df7a85c36e9a8064366b895fa55b7d0eadd14faac0e6
Homepage: https://cran.r-project.org/package=rcDEA
Description: CRAN Package 'rcDEA' (Robust and Conditional Data Envelopment Analysis (DEA))
 With this package we provide an easy method to compute robust and
 conditional Data Envelopment Analysis (DEA), Free Disposal Hull (FDH) and
 Benefit of the Doubt (BOD) scores.  The robust approach is based on the work
 of Cazals, Florens and Simar (2002) <doi:10.1016/S0304-4076(01)00080-X>.
 The conditional approach is based on Daraio and Simar (2007)
 <doi:10.1007/s11123-007-0049-3>.  Besides we provide graphs to help with the
 choice of m.  We relay on the 'Benchmarking' package to compute the
 efficiency scores and on the 'np' package to compute non parametric
 estimation of similarity among units.

Package: r-cran-rcdk
Architecture: all
Version: 3.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 806
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcdklibs, r-cran-fingerprint, r-cran-rjava, r-cran-png, r-cran-iterators, r-cran-itertools
Suggests: r-cran-xtable, r-cran-runit, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rcdk_3.8.1-1.ca2004.1_all.deb
Size: 498416
MD5sum: f052445d93bcd88930a69c2e94012c54
SHA1: a77133b8e29c3c9dd9b662b738d803a67cf9ba83
SHA256: 2b667afe8424e4554672d5c06fa79cfe65e043b72a37a2d1db287ba43803dcf9
SHA512: 27e464bbe554265ef19da9909c8162707b3d6cc35dc7cd27905298eac18d26cdc32289b31877e36289abc7e987a6cb8b4089f3cfa1b5d8c7fb4056d6ea0aae76
Homepage: https://cran.r-project.org/package=rcdk
Description: CRAN Package 'rcdk' (Interface to the 'CDK' Libraries)
 Allows the user to access functionality in the 'CDK', a Java framework for
 chemoinformatics. This allows the user to load molecules, evaluate
 fingerprints, calculate molecular descriptors and so on.  In addition, the
 'CDK' API allows the user to view structures in 2D.

Package: r-cran-rcdklibs
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 20540
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rcdklibs_2.9-1.ca2004.1_all.deb
Size: 19307304
MD5sum: 106f2bfeef15b6a8967ca4f98ca2294c
SHA1: f9d0f959f61afdc4800a6d0835ab01b7127034ff
SHA256: 3de9f2c53ad5e926401b53e0b7f419d34c968f38df8132b8b263dc23254cdc60
SHA512: 6842fd35732a3ff6ca541b3159f4996069b793ff7a0e70f7aaf80bf5dd97a457bb1a3e68449630a94945f725cf6f5ce66e4708f773b6b086b7b849cf53c715b9
Homepage: https://cran.r-project.org/package=rcdklibs
Description: CRAN Package 'rcdklibs' (The CDK Libraries Packaged for R)
 An R interface to the Chemistry Development Kit, a Java library for
 chemoinformatics. Given the size of the library itself, this package is not
 expected to change very frequently. To make use of the CDK within R, it is
 suggested that you use the 'rcdk' package. Note that it is possible to
 directly interact with the CDK using 'rJava'. However 'rcdk' exposes
 functionality in a more idiomatic way. The CDK library itself is released as
 LGPL and the sources can be obtained from <https://github.com/cdk/cdk>.

Package: r-cran-rcdo
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4105
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-r6, r-cran-rlang
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rcdo_0.2.0-1.ca2004.1_all.deb
Size: 1238244
MD5sum: 91710c8fdd7a7ad80ec124c61620c114
SHA1: eed196ae6be71a8fa36944b7e3686bc91ad2e36d
SHA256: 9b7def2fa10e838f5eedf602a6e76f3743b17064acdd04ef9362affe32fd595c
SHA512: 8458364237fa81db8fd87f58df1b59fb50d3fea66f52a0f6e2f73aa048bca01c5993590ced486f57a93a462eac891147525be9dce2cd7e342c468c1eec71cfe8
Homepage: https://cran.r-project.org/package=rcdo
Description: CRAN Package 'rcdo' (Wrapper of 'CDO' Operators)
 Provides a translation layer between 'R' and 'CDO' operators. Each operator
 is it's own function with documentation. Nested or piped functions will be
 translated into 'CDO' chains.

Package: r-cran-rceim
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1353
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rceim_0.3-1.ca2004.1_all.deb
Size: 1308376
MD5sum: 52913f405541c680b594cd4811331c61
SHA1: 79aed37fc0aaabe05e636181702abc17514a40f5
SHA256: 1c52c25f0a6c6187c2a4093b7400512d51fd90e94e51f25c57ab1d44c9ca91b7
SHA512: c06407d15be3124ad99982e812993d8d3a52cde39138ea62606190d260bfc316ccf70a6a92156b738f4ac83368c19e203bfaeb665e0b12165eb3c014541c25e7
Homepage: https://cran.r-project.org/package=RCEIM
Description: CRAN Package 'RCEIM' (R Cross Entropy Inspired Method for Optimization)
 An implementation of a stochastic heuristic method for performing
 multidimensional function optimization. The method is inspired in the
 Cross-Entropy Method. It does not relies on derivatives, neither imposes
 particularly strong requirements into the function to be optimized.
 Additionally, it takes profit from multi-core processing to enable
 optimization of time-consuming functions.

Package: r-cran-rcelldata
Architecture: all
Version: 1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2329
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcelldata_1.3-2-1.ca2004.1_all.deb
Size: 2318444
MD5sum: 10190f25fb1d2e76575adf8df038db94
SHA1: ab69614b8053d25b4f714ed0c3e0e37cdb3776f5
SHA256: 53129ba1cd588e429cb52615bdddaa444b6bb50b90f2e639af839150548ad096
SHA512: 6e16372a1c808cb8f3dcc9e593fa9ff219c634510b8dc2532b9bf2e9f3f4d094d14d876371d8e4f3102cad65650a7682a5c251cfa274e6f88b93628551383ebe
Homepage: https://cran.r-project.org/package=RcellData
Description: CRAN Package 'RcellData' (Example Dataset for 'Rcell' Package)
 Example dataset for 'Rcell' package. Contains images and cell data object.

Package: r-cran-rcens
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcens_0.1.1-1.ca2004.1_all.deb
Size: 47224
MD5sum: c1d9a5b552de4e820431186fa75ea9f8
SHA1: 765d61b1005cafd979a2e438229214d0ceff1b97
SHA256: aae82832735ef5fd54b6c4ce52aff058eeea2b174b8f28f43041bfb6fe78624f
SHA512: a95dd972349d394015e25d6d6b66759c4447b9f8c2cdca74406e755582ece374da78215ae129d48487b31eacbb9409625c60d6e15ba5fb0f9efe959e9195fa07
Homepage: https://cran.r-project.org/package=rcens
Description: CRAN Package 'rcens' (Generate Sample Censoring)
 Provides functions to generate censored samples of type I, II and III, from
 any random sample generator. It also supplies the option to create left and
 right censorship. Along with this, the generation of samples with interval
 censoring is in the testing phase, with two options of fixed length
 intervals and random lengths.

Package: r-cran-rcensuspkg
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-httr2, r-cran-downloader, r-cran-jsonlite, r-cran-stringr, r-cran-purrr, r-cran-sf, r-cran-ggplotify, r-cran-gtable, r-cran-rplotterpkg
Suggests: r-cran-knitr, r-cran-testthat, r-cran-usethis, r-cran-usmap, r-cran-vdiffr, r-cran-classint, r-cran-rcolorbrewer, r-cran-here, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rcensuspkg_0.1.5-1.ca2004.1_all.deb
Size: 235972
MD5sum: 3921cd87c8784d1a717c797904b34ba2
SHA1: 3b316204c24aa7a8fad0d8629f07ede4cb4471ec
SHA256: 6565b36c16418a17354120d8503fbb882ecf6997483288c616a80fe4c2c3e961
SHA512: 060f5fd78cf3b2474eb1538886151daf21c6108b1266e4a22538e5d194b01b0d08e092d68ed750b507100ae646281d0d4b08ba0bd9213828120be6b88c7c1e29
Homepage: https://cran.r-project.org/package=RcensusPkg
Description: CRAN Package 'RcensusPkg' (Easily Access US Census Bureau Survey and Geographic Data)
 The key function 'get_vintage_data()' returns a dataframe and is the window
 into the Census Bureau API requiring just a dataset name, vintage(year), and
 vector of variable names for survey estimates/percentages.  Other functions
 assist in searching for available datasets, geographies, group/variable
 concepts of interest.  Also provided are functions to access and layer (via
 standard piping) displayable geometries for the US, states, counties,
 blocks/tracts, roads, landmarks, places, and bodies of water.  Joining
 survey data with many of the geometry functions is built-in to produce
 choropleth maps.

Package: r-cran-rcereal
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1513
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cpp11, r-cran-rcpp, r-cran-decor, r-cran-git2r, r-cran-httr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcereal_1.3.2-1.ca2004.1_all.deb
Size: 207800
MD5sum: d2a9364aa01558b77ac686d0a34f682e
SHA1: 6c34bbbf18177b52d3a873f084ecb4250e211677
SHA256: 56a3082a3745fe20d50bd27017a88057ed26f73167022bab4a739941a51fa648
SHA512: e46a97595d372aecb7478db9ecb6cae5eb28df07021d9fd4991fb26561d65b5a921746043c06ffa650e252bd3400c05de74f6237503ae646663a682f25771a1a
Homepage: https://cran.r-project.org/package=Rcereal
Description: CRAN Package 'Rcereal' ("Cereal Headers for R and C++ Serialization")
 To facilitate using 'cereal' with R via 'cpp11' or 'Rcpp'. 'cereal' is a
 header-only C++11 serialization library. 'cereal' takes arbitrary data types
 and reversibly turns them into different representations, such as compact
 binary encodings, 'XML', or 'JSON'. 'cereal' was designed to be fast,
 light-weight, and easy to extend - it has no external dependencies and can
 be easily bundled with other code or used standalone. Please see
 <https://uscilab.github.io/cereal/> for more information.

Package: r-cran-rcexttools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1516
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-sqldf, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-rcexttools_0.1.1-1.ca2004.1_all.deb
Size: 1394848
MD5sum: cfedf2d4a22ba29624f866ca670b2cac
SHA1: 278f1f84987b8b2be8f49a6ec9e746bdcc8ea91e
SHA256: d604d6e64bd0cd5732d4e0744371863d5b57df8ca3d66d4ab76e2031a2a087e9
SHA512: 19e5b286e5c33ec3f30246894afae98af01d8890ed0b1d417eeb6e265a909041fda90272359c90da33792e7da37596cfc33aeee98eb183d8eb02cb500b99bdc7
Homepage: https://cran.r-project.org/package=RcextTools
Description: CRAN Package 'RcextTools' (Analytical Procedures in Support of Brazilian Public SectorExternal Auditing)
 Set of analytical procedures based on advanced data analysis in support of
 Brazil's public sector external control activity.

Package: r-cran-rcgls
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-ncdf4, r-cran-raster, r-cran-sp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcgls_1.0.3-1.ca2004.1_all.deb
Size: 23964
MD5sum: c1ed4061b44aa8679f755d4e6c311d67
SHA1: 5f55d98886495ce8e59067ffcd1b94f34fc6d9f7
SHA256: df175b9955bf3277a74fa39d3cd3a50ca238bfac8a663540f37f9bfe3b9be396
SHA512: c5870950e17b10cd8b71d35cf62d2229c6d93bab892a2a906747430b4692efedc18f9064f6cc420a473efe478ea3135ffbf8e9cfe48a962f5b6b233d7975d680
Homepage: https://cran.r-project.org/package=RCGLS
Description: CRAN Package 'RCGLS' (Download and Open Data Provided by the Copernicus Global LandService)
 Download and open manifest files provided by the Copernicus Global Land
 Service data <https://land.copernicus.eu/global/>. The manifest files are
 available at: <https://land.copernicus.vgt.vito.be/manifest/>. Also see:
 <https://land.copernicus.eu/global/access/>. Before you can download the
 data, you will first need to register to create a username and password.

Package: r-cran-rcgmin
Architecture: all
Version: 2022-4.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-optextras
Suggests: r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-rcgmin_2022-4.30-1.ca2004.1_all.deb
Size: 63452
MD5sum: 45a11b4ae81efcb8aa6876ff059283fd
SHA1: 525a85078344512b046969819e24817b3c41633a
SHA256: 2a1ebbb3f8f4bf48ac76e55b620dfb170a2932fd966e420bee40d3d3049bc51c
SHA512: bff7b2c12e13c114a0b22c6e54d660c94892cea862eaf5c7b551a4d3ebc327185352b9c9d6546478cd503f50d4ca0fad9da32d9aa71a1bf8e7a3455f195752ce
Homepage: https://cran.r-project.org/package=Rcgmin
Description: CRAN Package 'Rcgmin' (Conjugate Gradient Minimization of Nonlinear Functions with BoxConstraints)
 Conjugate gradient minimization of nonlinear functions with box constraints
 using Dai/Yuan update.

Package: r-cran-rchallenge
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rchallenge_1.3.4-1.ca2004.1_all.deb
Size: 111068
MD5sum: 88729ee3b648cc801e02500fcfb5c3c1
SHA1: 8b044c4b9539c256adf0bbeecefc1f81b502e74e
SHA256: 5684faffe6e8970cc9fbc8f883f32b0aed433005c4ee514ed58ff87db9a4bd04
SHA512: 25a0b14b15b51d49b07b379ae42b1f3242f3da4a7ce303e800f7c9053305af673aca578c87a5af1100bf1d800ec54661b1f5254e00d48573d67da0f8046863ea
Homepage: https://cran.r-project.org/package=rchallenge
Description: CRAN Package 'rchallenge' (A Simple Data Science Challenge System)
 A simple data science challenge system using R Markdown and 'Dropbox'
 <https://www.dropbox.com/>.  It requires no network configuration, does not
 depend on external platforms like e.g. 'Kaggle' <https://www.kaggle.com/>
 and can be easily installed on a personal computer.

Package: r-cran-rchemo
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fnn, r-cran-signal, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rchemo_0.1-3-1.ca2004.1_all.deb
Size: 5238544
MD5sum: 36fc78e153bda2c1e8899b3c35ae2fc5
SHA1: a646bc0a245ef645f211728bba5855eb0c23b693
SHA256: 6fe3c189b5a8c7a49ae730ace6fb262f8f825098357a9b87359dec262005d829
SHA512: 31125e01c038b96838105d672b8f61a0de790c0233714ed09e2726d60edc8ec10f04b72cf091a372a6891ad582a3d0ec6e66cb78f2c7878ec896fea715d281d1
Homepage: https://cran.r-project.org/package=rchemo
Description: CRAN Package 'rchemo' (Dimension Reduction, Regression and Discrimination forChemometrics)
 Data exploration and prediction with focus on high dimensional data and
 chemometrics.  The package was initially designed about partial least
 squares regression and discrimination models and variants, in particular
 locally weighted PLS models (LWPLS). Then, it has been expanded to many
 other methods for analyzing high dimensional data.  The name 'rchemo' comes
 from the fact that the package is orientated to chemometrics, but most of
 the provided methods are fully generic to other domains.  Functions such as
 transform(), predict(), coef() and summary() are available. Tuning the
 predictive models is facilitated by generic functions gridscore()
 (validation dataset) and gridcv() (cross-validation). Faster versions are
 also available for models based on latent variables (LVs) (gridscorelv() and
 gridcvlv()) and ridge regularization (gridscorelb() and gridcvlb()).

Package: r-cran-rcheology
Architecture: all
Version: 4.5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 985
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcheology_4.5.0.0-1.ca2004.1_all.deb
Size: 779356
MD5sum: a6fd311d294807f73bbe042110156c46
SHA1: 5e251e2f36375d97f63757b179f39e0a89687cf0
SHA256: f00653af03adac800d69a35267f156345a01ef43aaf4377cea6a6b9176f7505d
SHA512: a545b40c73a1e72e18fc3e32c41e9eea1aa07fd02be23bc888aef6e94448356a8827d4cc24e4d7d0181123114de477250b8c8426ee17430a9d3ac321d005953c
Homepage: https://cran.r-project.org/package=rcheology
Description: CRAN Package 'rcheology' (Data on Base and Recommended Packages for Current and PreviousVersions of R)
 Provides a dataset of functions in all base and recommended packages of R
 versions 0.50 onwards.

Package: r-cran-rchess
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1996
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-v8, r-cran-r6, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-rchess_0.1-1.ca2004.1_all.deb
Size: 906580
MD5sum: 53532d36a09ea45f0e8a532f346f793e
SHA1: 624dd5161124794b546b3be65cfd62172c956b26
SHA256: f3297e35939fd5a4939427f909f6f83b5616d269679cfef5c966412ed32d9989
SHA512: a6c47e15f759db4b049eebc0d97c28fb9c9a87eff908e22354d66846baaf184d1d213ebab1ef1fd767e771171ddf40dfa76983ef4e7e34f4850cb757b78d63a3
Homepage: https://cran.r-project.org/package=rchess
Description: CRAN Package 'rchess' (Chess Move, Generation/Validation, Piece Placement/ Movement,and Check/Checkmate/Stalemate Detection)
 R package for chess validations, pieces movements and check detection. Also
 integrates functions to plot chess boards given a Forsyth Edwards and
 Portable Game notations.

Package: r-cran-rchest
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-reticulate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rchest_1.0.3-1.ca2004.1_all.deb
Size: 14996
MD5sum: 764bf386f2522a71f0bdfc151e268304
SHA1: ef8ddb4b0e1e8a65f9e72935bbac84b945accdbf
SHA256: 1793409dbbd80924a4a9d6bf33ab4e80631014ca559476f6eec2ee9d1ea58451
SHA512: ce04b669a7c50ba8ac9da6539472255da3b90b75a5eaba2a6622fd7194a80dd35dc873ffbd90b5e6396603b69a3c0bb58e2e04f2349301b49b96f6386c007e5e
Homepage: https://cran.r-project.org/package=RChest
Description: CRAN Package 'RChest' (Locating Distributional Changes in Highly Dependent Time Series)
 Provides algorithms to locate multiple distributional change-points in
 piecewise stationary time series. The algorithms are provably consistent,
 even in the presence of long-range dependencies. Knowledge of the number of
 change-points is not required. The code is written in Go and interfaced with
 R.

Package: r-cran-rchie
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr, r-cran-googledrive, r-cran-curl, r-cran-httpuv
Filename: pool/dists/focal/main/r-cran-rchie_1.0.2-1.ca2004.1_all.deb
Size: 39640
MD5sum: e0054ba36e17184b1c77738225d18b9e
SHA1: 253c06170f67631028726b262399b5a08bc24a6b
SHA256: 3aa36ad3d433f76547d04c149b7d7953a9ed4445f10365c50a0dbb34b24c39b5
SHA512: 43ec9f5c08029ef944ea0aefe33121c645fb40fea29b99c4e0c784954201d0a83ccb6a497a5512be6b96a370bd0df773799f4761301717266f1ccd634620c9bc
Homepage: https://cran.r-project.org/package=rchie
Description: CRAN Package 'rchie' (A Parser for 'ArchieML')
 Parses the 'ArchieML' format from the New York Times <http://archieml.org>.
 Also provides utilities for retrieving Google Drive documents for parsing.

Package: r-cran-rchivaltag
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2937
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-maps, r-cran-mapdata, r-cran-leaflet, r-cran-plyr, r-cran-oceanmap, r-cran-cleangeo, r-cran-suntools, r-cran-raster, r-cran-readr, r-cran-ncdf4, r-cran-pracma, r-cran-dygraphs, r-cran-xts, r-cran-lubridate, r-cran-shiny, r-cran-htmlwidgets, r-cran-stringr, r-cran-sp, r-cran-ggplot2, r-cran-ggedit, r-cran-plotly, r-cran-leaflet.extras2, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rchivaltag_0.1.9-1.ca2004.1_all.deb
Size: 1836996
MD5sum: 78fc4f7bfb80c5a0b416f664fea80478
SHA1: ef4463da6cda11d96ac78109455ffdf0ea863cb7
SHA256: 0a613f59086aa8e74f803af0acd79d6c2f392bc8a7aab505b0fbb1d9555d45ce
SHA512: 6ce4563030e3fed7f3cfb912e586834fd8e71c699bbd016937dce190f03bb7279057860a72717bb519fd6567ca9ef97418d44394ec4c720f65ff3ab314fd8ae8
Homepage: https://cran.r-project.org/package=RchivalTag
Description: CRAN Package 'RchivalTag' (Analyzing and Interactive Visualization of Archival Tagging Data)
 A set of functions to generate, access and analyze standard data products
 from archival tagging data.

Package: r-cran-rchoice
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula, r-cran-maxlik, r-cran-sandwich, r-cran-misctools, r-cran-numderiv, r-cran-memisc, r-cran-msm, r-cran-plm, r-cran-plotrix
Suggests: r-cran-car, r-cran-lmtest, r-cran-pglm, r-cran-aer
Filename: pool/dists/focal/main/r-cran-rchoice_0.3-6-1.ca2004.1_all.deb
Size: 429904
MD5sum: f4252bbd83aa82e633c8c8bc3716a49c
SHA1: cb0cf90e2ae3a42ec004a72238402bc8e36842ee
SHA256: 765e3e524490796ce21fd4450c1957bb0a0c1598dde5835b4b0279045d886202
SHA512: 909c0a3ebbabe7f7227fb3fc28840a5552361bc978d57fbfd4b8f7519c0bbe183be76fa7822da426ad4808f2c14419b7f5609ce94ab84cbac0515c9502f600b4
Homepage: https://cran.r-project.org/package=Rchoice
Description: CRAN Package 'Rchoice' (Discrete Choice (Binary, Poisson and Ordered) Models with RandomParameters)
 An implementation of simulated maximum likelihood method for the estimation
 of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models
 with random parameters for cross-sectional and longitudinal data as
 presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.

Package: r-cran-rchoicedialogs
Architecture: all
Version: 1.0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rchoicedialogs_1.0.6.1-1.ca2004.1_all.deb
Size: 243224
MD5sum: 7d23a9a01429a184b749b982a41ded0f
SHA1: 3737094040f7acfa4c4ca542b6a55003f1cd6ddb
SHA256: 71f66ac3b56f50ef1b6259ea2070eec551d361165779ffadd960eca892734a85
SHA512: e90a726773fd0f4266f41054d86131bb98f1af740d1bd581a466fdcd812585a2d4057bcedcb0caa385def8961bb572002cdf928b0ad5c609e26126c2922b5224
Homepage: https://cran.r-project.org/package=rChoiceDialogs
Description: CRAN Package 'rChoiceDialogs' ('rChoiceDialogs' Collection)
 Collection of portable choice dialog widgets.

Package: r-cran-rchroma
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-httr2, r-cran-processx
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rchroma_0.2.0-1.ca2004.1_all.deb
Size: 127084
MD5sum: d226e188102d3d5d20697a206dfa5b39
SHA1: 7ff5f7debfdbe29853e814dce0106482b3c3b1cf
SHA256: 8d5fc2ce6c1677e855765d50fd29619b56a19c2de1718b3be414f7885807e267
SHA512: 04cd96b14f430fb9bf9a8b595465d956b6f7d1a687145968b10b5acf5cda6825bcc88b5c8f3c2c31e576e59d272c89f16229f76ddbd978d2e2f104be64000d44
Homepage: https://cran.r-project.org/package=rchroma
Description: CRAN Package 'rchroma' (A Client for 'ChromaDB')
 Client for 'ChromaDB', a vector database for storing and querying
 embeddings. This package provides a convenient interface to interact with
 the REST API of 'ChromaDB' <https://docs.trychroma.com>.

Package: r-cran-rchronomodel
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hdrcde
Filename: pool/dists/focal/main/r-cran-rchronomodel_0.4-1.ca2004.1_all.deb
Size: 439476
MD5sum: 9d83bb6e3c15e9ac3d7bfb91e437fe14
SHA1: b1f7d7b1f066db4c267807047214d643172c6379
SHA256: ce47228057f0cfbf240757e5f5be54fd54f6bf7fd3afd1a649de976eb771eddf
SHA512: d6700922e4c2129cff03f410afe3c84b7dfbfb1dc0751a12aa1661904f1b1ac230c9a1cce18d3090d33e0e0bf14788a120817b57107d969467297c1bf785f8e7
Homepage: https://cran.r-project.org/package=RChronoModel
Description: CRAN Package 'RChronoModel' (Post-Processing of the Markov Chain Simulated by ChronoModel orOxcal)
 Provides a list of functions for the statistical analysis and the
 post-processing of the Markov Chains simulated by ChronoModel (see
 <http://www.chronomodel.fr> for more information).  ChronoModel is a
 friendly software to construct a chronological model in a Bayesian
 framework.  Its output is a sampled Markov chain from the posterior
 distribution of dates component the chronology. The functions can also be
 applied to the analyse of mcmc output generated by Oxcal software.

Package: r-cran-rciplot
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rciplot_0.1.1-1.ca2004.1_all.deb
Size: 29508
MD5sum: 8753812173623d1e15ee45148bfcced7
SHA1: aa20723ec82880ad031ce19bc5283ebf6ce6d553
SHA256: 93708a45c41550a1f2d79861b97f07a4b9554f8824ddf02e20158a6c7389a1ab
SHA512: 1543e8dbfd96c92e798d09ce37f95efb409ab6d81432524250efabb813e3f498a423e6564f149a846bdf74b3101166769bb9fcd5c163cb5713d9e84f98bdbfad
Homepage: https://cran.r-project.org/package=rciplot
Description: CRAN Package 'rciplot' (Plot Jacobson-Truax Reliable Change Indices)
 The concept of reliable and clinically significant change (Jacobson & Truax,
 1991) helps you answer the following questions for a sample with two
 measurements at different points in time (pre & post): Which proportion of
 my sample has a (considering the reliability of the instrument) probably
 not-just-by-chance difference in pre- vs. post-scores?  Which proportion of
 my sample does not only change in a statistically significant way (see
 question one), but also in a clinically significant way (e.g. change from a
 test score regarded "dysfunctional" to a score regarded "functional")?  This
 package allows you to very easily create a scatterplot of your sample in
 which the x-axis maps to the pre-scores, the y-axis maps to the post-scores
 and several graphical elements (lines, colors) allow you to gain a quick
 overview about reliable changes in these scores.  An example of this kind of
 plot is Figure 2 of Jacobson & Truax (1991).  Referenced article: Jacobson,
 N. S., & Truax, P. (1991) <doi:10.1037/0022-006X.59.1.12>.

Package: r-cran-rcircos
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1719
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcircos_1.2.2-1.ca2004.1_all.deb
Size: 1572620
MD5sum: 01264df69591b0148707e667832b310a
SHA1: eaee5bc6f7c09c9aa6a22306a8828433109f77f2
SHA256: 95cd5dacf3fe7987f4ad3ed1e24efe556427878e24add5e70dc7d8cee6b59d9f
SHA512: 624d21b0d800a2e3f099df00bf2f7dcada33f66ea8547d31220316f2fbfcbdcc0df40bc660d99991fb8dfd67aa1d244899331ca80c79f00d1d77bd0a2df61b5e
Homepage: https://cran.r-project.org/package=RCircos
Description: CRAN Package 'RCircos' (Circos 2D Track Plot)
 A simple and flexible way to generate Circos 2D track plot images for
 genomic data visualization is implemented in this package. The types of
 plots include: heatmap, histogram, lines, scatterplot, tiles and plot items
 for further decorations include connector, link (lines and ribbons), and
 text (gene) label. All functions require only R graphics package that comes
 with R base installation.

Package: r-cran-rcites
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 588
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-testthat, r-cran-tibble, r-cran-rmarkdown, r-cran-rworldmap, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rcites_1.3.0-1.ca2004.1_all.deb
Size: 406752
MD5sum: 7cb0bdf2dd57582ce728437eb36b909f
SHA1: 64abf3f782ce7c40dbc8bf2daef536caf0551f79
SHA256: fe5fc3cbcb045280c57d793046ac10bdfc38d0ee9a5e9598bcb5ff201a705163
SHA512: b8132eec13a707ffd2eadea1e5b00984673328320c7489b38852dc97d4738f4663699616f6444b62fcfab5d5b3e17536c701e3ded2acece84978b7196cd66c35
Homepage: https://cran.r-project.org/package=rcites
Description: CRAN Package 'rcites' (R Interface to the Species+ Database)
 A programmatic interface to the Species+ <https://speciesplus.net/> database
 via the Species+/CITES Checklist API <https://api.speciesplus.net/>.

Package: r-cran-rcitoid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-crul, r-cran-fauxpas, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcitoid_0.1.0-1.ca2004.1_all.deb
Size: 18544
MD5sum: 03aefb8ddc9bf0d3ebca6720b32cf2ad
SHA1: d35c5222ea5cba6c8c855b247ff2ae43f34174e4
SHA256: 0276544f7ed30dfa53f848b078080aa1fb182d5b4c45df5118eab900741ed061
SHA512: f1da9934a21c857893cce16b89230793c2188b1d24dc0395ea64a9488292dd99fa080a0bc0f586d3cb80a9c2c850dbb3496b8f1f4dd4be3638f53e62fb744987
Homepage: https://cran.r-project.org/package=rcitoid
Description: CRAN Package 'rcitoid' (Client for 'Citoid')
 Client for 'Citoid' (<https://www.mediawiki.org/wiki/Citoid>), an API for
 getting citations for various scholarly work identifiers found on
 'Wikipedia'.

Package: r-cran-rclabels
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-hmisc, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rclabels_0.1.11-1.ca2004.1_all.deb
Size: 159852
MD5sum: 5777ff67bedb66d2141143ea9c99d2b6
SHA1: 1e8575145c961effd6913573c7c84e9cc65149e5
SHA256: eb4e085ce064943f3662f1c59b2d739bb5d0e64e4be4d8e5686943b0fc42cc72
SHA512: cd3f62842f98a2d81829fad8b094c19178739ccd8eed476e9441db3e3108db3bcad602ba78da2f317a40fbeabf3d6d92aa5705d5f1012602ee05b6bd9073f4b5
Homepage: https://cran.r-project.org/package=RCLabels
Description: CRAN Package 'RCLabels' (Manipulate Matrix Row and Column Labels with Ease)
 Functions to assist manipulation of matrix row and column labels for all
 types of matrix mathematics where row and column labels are to be respected.

Package: r-cran-rclimacell
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-httr, r-cran-lubridate, r-cran-rlang, r-cran-tidyr, r-cran-assertthat, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rclimacell_0.1.4-1.ca2004.1_all.deb
Size: 343428
MD5sum: 218c1fa0ac3f70388fd8ae86e52a4e6b
SHA1: 1eaa36324a2f71f2c982dcd9ce6c59b499b645c2
SHA256: c11ac19d9459326798e8a2824dab9ab7a75e81218a6563d31fe5f11af1534afd
SHA512: 9392b91e4962fbc02d95a1f81273aeb02f696bc0cffe4546184bd19be2323b916d79c1f882a8ac60c06d8435ce2f687651f4b60efa254f39626e6e2390b747f7
Homepage: https://cran.r-project.org/package=RClimacell
Description: CRAN Package 'RClimacell' (R Wrapper for the 'Climacell' API)
 'Climacell' is a weather platform that provides hyper-local forecasts and
 weather data. This package enables the user to query the core layers of the
 time line interface of the 'Climacell' v4 API
 <https://www.climacell.co/weather-api/>.  This package requires a valid API
 key. See vignettes for instructions on use.

Package: r-cran-rclinicalcodes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rcurl, r-cran-xml, r-cran-rjson, r-cran-tm
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-rclinicalcodes_1.0.1-1.ca2004.1_all.deb
Size: 28896
MD5sum: ccb4ac772f363ae891b75cba6d6564b9
SHA1: 8f5412160a5b4c2b6f13929fa4e83bd3d62f9a54
SHA256: c31273aa81bf8e68f903ac3795e5a59d799aa8847bb609ff87adba3d72eb2fc6
SHA512: f403b621efebc3b4bf968d142ce519f93937d4382fbb9cecd8a1126804b0c942012791de82132ebf3547f1aebd90123a5a5101b00fe0906fc9993c6b913aee51
Homepage: https://cran.r-project.org/package=rClinicalCodes
Description: CRAN Package 'rClinicalCodes' (R tools for integrating with the www.clinicalcodes.orgrepository)
 R tools for integrating with the www.clinicalcodes.org web repository

Package: r-cran-rclipboard
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-rclipboard_0.2.1-1.ca2004.1_all.deb
Size: 19636
MD5sum: 0462b6744db632af1bfed2884abb050a
SHA1: 4d9d3aceb28dc52fe3df35176404a781d7cec0ec
SHA256: c3a5859a639c821ade27bbcf724c9e3805c62d176b1e3a8ebfaf8be527d28d9e
SHA512: 373ce1ab0cd2288fee33aa42cbda49779fc3aa519b096ca008c43e43d31d20a102e3322901cbdbfd239f4118508fb8f5a0be4d9a981b6c6705499a0d5b1ce79c
Homepage: https://cran.r-project.org/package=rclipboard
Description: CRAN Package 'rclipboard' (Shiny/R Wrapper for 'clipboard.js')
 Leverages the functionality of 'clipboard.js', a JavaScript library for
 HMTL5-based copy to clipboard from web pages (see <https://clipboardjs.com>
 for more information), and provides a reactive copy-to-clipboard UI button
 component, called 'rclipButton', and a a reactive copy-to-clipboard UI link
 component, called 'rclipLink', for 'shiny' R applications.

Package: r-cran-rclustool
Architecture: all
Version: 0.91.61-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2485
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tcltk2, r-cran-tkrplot, r-cran-class, r-cran-cluster, r-cran-conclust, r-cran-corrplot, r-cran-e1071, r-cran-factoextra, r-cran-factominer, r-cran-ggplot2, r-cran-jpeg, r-cran-knitr, r-cran-mass, r-cran-mclust, r-cran-mda, r-cran-mmand, r-cran-nnet, r-cran-png, r-cran-randomforest, r-cran-reshape, r-cran-rlang, r-cran-searchtrees, r-cran-sp, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rclustool_0.91.61-1.ca2004.1_all.deb
Size: 1465092
MD5sum: 396de88c56108560cfb136f3ee666866
SHA1: c617c08b152bb203af568b8b4bd5f77bb7135d46
SHA256: 0a2d6fce3691d1c6de7e7b7a042f9ccc8dd236995141b49dd8b2b7492500550c
SHA512: 4530755ce4cf7cbeb22679efd394080269257eae32f4346cb26a5065384094a1467cffc4468abea8a7d9a195297983e597e8a07aed2a9d862ac922e7b6ee5306
Homepage: https://cran.r-project.org/package=RclusTool
Description: CRAN Package 'RclusTool' (Graphical Toolbox for Clustering and Classification of DataFrames)
 Graphical toolbox for clustering and classification of data frames.  It
 proposes a graphical interface to process clustering and classification
 methods on features data-frames, and to view initial data as well as
 resulted cluster or classes. According to the level of available labels,
 different approaches are proposed: unsupervised clustering, semi-supervised
 clustering and supervised classification.  To assess the processed clusters
 or classes, the toolbox can import and show some supplementary data formats:
 either profile/time series, or images.  These added information can help the
 expert to label clusters (clustering), or to constrain data frame rows
 (semi-supervised clustering), using Constrained spectral embedding algorithm
 by Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the
 methodology provided by Wacquet et al. (2013)
 <doi:10.1007/978-3-642-35638-4_21>.

Package: r-cran-rcma
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rcma_1.1.1-1.ca2004.1_all.deb
Size: 339412
MD5sum: f06bb9e299463f14d16ff38c21a1aeff
SHA1: 0c0b8d9e80934d88cc44171fbdba0b3b5671ba13
SHA256: 28249bca26e67205f164b2a2b67c783534d3ed8d2bc93e70f6cb9b1652810ee5
SHA512: 4e01a46f7788299638cc1af23e4ef6d3b2cdf90caea927b91eeaaf350278ca256b8005065cddd4947ff786a7ea216848f93f828d0272e9053f8fd4e1b28eaa68
Homepage: https://cran.r-project.org/package=rCMA
Description: CRAN Package 'rCMA' (R-to-Java Interface for 'CMA-ES')
 Tool for providing access to the Java version 'CMAEvolutionStrategy' of
 Nikolaus Hansen. 'CMA-ES' is the Covariance Matrix Adaptation Evolution
 Strategy, see <https://www.lri.fr/~hansen/cmaes_inmatlab.html#java>.

Package: r-cran-rcmdcheck
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-curl, r-cran-desc, r-cran-digest, r-cran-pkgbuild, r-cran-prettyunits, r-cran-r6, r-cran-rprojroot, r-cran-sessioninfo, r-cran-withr, r-cran-xopen
Suggests: r-cran-covr, r-cran-knitr, r-cran-mockery, r-cran-processx, r-cran-ps, r-cran-rmarkdown, r-cran-svglite, r-cran-testthat, r-cran-webfakes
Filename: pool/dists/focal/main/r-cran-rcmdcheck_1.4.0-1.ca2004.1_all.deb
Size: 169736
MD5sum: a99a874ffe76d7b6bd7be87b718b2fda
SHA1: 27ec454a55b451545fde291a5829aaa29a6e46f8
SHA256: bcc78b5600e1bbf0716f6d0af8d9e27369b9a587ce3f84d562044a137cd21b0d
SHA512: 0ff40e3a245aef5b6b6793783b0c73ac5f516ece2099fd5b4616c64ad515b924a3d320ab5415dc018f0b880a81dd53ffddbfe5462a576bc693f261d5e3a7a573
Homepage: https://cran.r-project.org/package=rcmdcheck
Description: CRAN Package 'rcmdcheck' (Run 'R CMD check' from 'R' and Capture Results)
 Run 'R CMD check' from 'R' and capture the results of the individual checks.
 Supports running checks in the background, timeouts, pretty printing and
 comparing check results.

Package: r-cran-rcmdr
Architecture: all
Version: 2.9-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8915
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcmdrmisc, r-cran-car, r-cran-effects, r-cran-tcltk2, r-cran-abind, r-cran-relimp, r-cran-lme4
Suggests: r-cran-aplpack, r-cran-boot, r-cran-colorspace, r-cran-e1071, r-cran-foreign, r-cran-hmisc, r-cran-knitr, r-cran-lattice, r-cran-leaps, r-cran-lmtest, r-cran-markdown, r-cran-mass, r-cran-mgcv, r-cran-multcomp, r-cran-nlme, r-cran-nnet, r-cran-nortest, r-cran-readxl, r-cran-rgl, r-cran-rmarkdown, r-cran-sem
Filename: pool/dists/focal/main/r-cran-rcmdr_2.9-5-1.ca2004.1_all.deb
Size: 5517348
MD5sum: 08fde297555256eb1957efec61782689
SHA1: 35c843b3e5a3d140fbd8eb542720bf30aa16c484
SHA256: 77e4b4d44b1329690288e283cda01e8085c38baf667bfd832e2e235d2da7f400
SHA512: aff8ba3c95aff1d309d247bd4b16a0c3cae7d0b75a5f731f1e5521a611131bf172401d255adb421ff81581df1cc6fe812540c36c169835ce4da422a957b25513
Homepage: https://cran.r-project.org/package=Rcmdr
Description: CRAN Package 'Rcmdr' (R Commander)
 A platform-independent basic-statistics GUI (graphical user interface) for
 R, based on the tcltk package.

Package: r-cran-rcmdrmisc
Architecture: all
Version: 2.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-sandwich, r-cran-abind, r-cran-colorspace, r-cran-hmisc, r-cran-mass, r-cran-e1071, r-cran-foreign, r-cran-haven, r-cran-readstata13, r-cran-readxl, r-cran-nortest, r-cran-lattice
Suggests: r-cran-boot, r-cran-cardata
Filename: pool/dists/focal/main/r-cran-rcmdrmisc_2.9-1-1.ca2004.1_all.deb
Size: 214044
MD5sum: d0572eae20fc72eeed41a437c67bebc0
SHA1: 978b386295d4ab7515d88bb38f909aceb3d5ab13
SHA256: c9eb397e940fab821225b74192e0e727f8f35d91eec4deb91856cafab9d46f61
SHA512: 942826aaf77ad6c75fc0c95c04306d6597654eab98584bcb4344b455f69390e2ccc686df8359902c5aa7a43f45bf2b2ac7826924635c06b30b0934a3dd7d0dbf
Homepage: https://cran.r-project.org/package=RcmdrMisc
Description: CRAN Package 'RcmdrMisc' (R Commander Miscellaneous Functions)
 Various statistical, graphics, and data-management functions used by the
 Rcmdr package in the R Commander GUI for R.

Package: r-cran-rcmdrplugin.arnova
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2547
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rcmdr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.arnova_0.0.6-1.ca2004.1_all.deb
Size: 1935960
MD5sum: 059b3cb748a38ace04619aa5d28a2ce4
SHA1: 1e8975636e6f280fdbac86b241a29bc7df3989d9
SHA256: cd5b5f3a31877b6491aa817e64cc1c893bbd3d6b728feaa977a5885c0004d504
SHA512: e05465972ac76cc38edbecd051d51b626b5ab2762130edc80f667149b789844643edc9bc99436d272be8ecea0e9002bc88263925ecb2a8cde6b9f1c3e2d8dc6f
Homepage: https://cran.r-project.org/package=RcmdrPlugin.aRnova
Description: CRAN Package 'RcmdrPlugin.aRnova' (R Commander Plug-in for Repeated-Measures ANOVA)
 R Commander plug-in for repeated-measures and mixed-design ('split-plot')
 ANOVA.  It adds a new menu entry for repeated measures that allows to deal
 with up to three within-subject factors and optionally with one or several
 between-subject factors.  It also provides supplementary options to
 oneWayAnova() and multiWayAnova() functions, such as choice of ANOVA type,
 display of effect sizes and post hoc analysis for multiWayAnova().

Package: r-cran-rcmdrplugin.biclustgui
Architecture: all
Version: 1.1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3176
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-biclust, r-bioc-fabia, r-bioc-ibbig, r-cran-superbiclust, r-cran-bcdiag, r-bioc-bicare, r-cran-s4vd, r-cran-bibitr, r-cran-rcmdr, r-cran-gplots, r-cran-viridis
Suggests: r-cran-knitr, r-bioc-rqubic, r-cran-biocmanager
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.biclustgui_1.1.3.1-1.ca2004.1_all.deb
Size: 2777108
MD5sum: 93533d1473df728799b17c57966a81d7
SHA1: 653977a3051afe1bd06aba6dd376bd5538801ec5
SHA256: b38b0b2126017a0781f4d8937962f509df308f915eb4ea1d3a99343311e88d4c
SHA512: 75b71574a60c8564ffaa1498d46b0660626530a0b29a3257db34591b565cc8998d3cdbed07a61093d23579445fa11be4cb2aa7c5cc005f2d1e19cc468ca0c994
Homepage: https://cran.r-project.org/package=RcmdrPlugin.BiclustGUI
Description: CRAN Package 'RcmdrPlugin.BiclustGUI' ('Rcmdr' Plug-in GUI for Biclustering)
 A plug-in for R Commander ('Rcmdr'). The package is a Graphical User
 Interface (GUI) in which several biclustering methods can be executed,
 followed by diagnostics and plots of the results. Further, the GUI also has
 the possibility to connect the methods to more general diagnostic packages
 for biclustering. Biclustering methods from 'biclust', 'fabia', 's4vd',
 'iBBiG', 'isa2', 'BiBitR', 'rqubic' and 'BicARE' are implemented.
 Additionally, 'superbiclust' and 'BcDiag' are also implemented to be able to
 further investigate results. The GUI also provides a couple of extra
 utilities to export, save, search through and plot the results.
 'RcmdrPlugin.BiclustGUI' also provides a very specific framework for
 biclustering in which new methods, diagnostics and plots can be added.
 Scripts were prepared so that R-package developers can freely design their
 own dialogs in the GUI which can then be added by the maintainer of
 'RcmdrPlugin.BiclustGUI'. These scripts do not required any knowledge of
 'tcltk' and 'Rcmdr' and are easy to fill in. (Note: rqubic currently
 requires manual installation through BiocManager::install('rqubic').)

Package: r-cran-rcmdrplugin.bws1
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crossdes, r-cran-support.bws, r-cran-support.ces, r-cran-survival, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.bws1_0.3-0-1.ca2004.1_all.deb
Size: 114724
MD5sum: df639f339439cefef5e804b3b5029fb5
SHA1: 2d070a2ef4d3b6eea88ec26d937b13e0ec88b881
SHA256: e24f6c13f1aa095f53093094bb13272688ecee3375e8c47a129d60bc60b7b8f1
SHA512: 530df25cfd81f13eab4d00e544c370202830baf505c12c3585c1017077296e986c9c0248184599ed003ebe07c159b7ba2f599273a388108702f0999289a4c33e
Homepage: https://cran.r-project.org/package=RcmdrPlugin.BWS1
Description: CRAN Package 'RcmdrPlugin.BWS1' (R Commander Plug-in for Case 1 Best-Worst Scaling)
 Adds menu items to the R Commander for implementing case 1 (object case)
 best-worst scaling (BWS1) from designing choice sets to measuring
 preferences for items. BWS1 is a question-based survey method that
 constructs various combinations of items (choice sets) using the
 experimental designs, asks respondents to select the best and worst items in
 each choice set, and then measures preferences for the items by analyzing
 the responses. For details, refer to Aizaki and Fogarty (2023)
 <doi:10.1016/j.jocm.2022.100394>.

Package: r-cran-rcmdrplugin.bws2
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-support.bws2, r-cran-support.ces, r-cran-survival, r-cran-rcmdr, r-cran-doe.base
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.bws2_0.3-0-1.ca2004.1_all.deb
Size: 97496
MD5sum: 82442f2b68ef44002806fc44a8c8612d
SHA1: 2f99ce031df427149747a86dedbc443a63744a80
SHA256: 8b02ae5fb36d4004d7a094816b625d04a11156a40ef8b583d6f795627cab35e7
SHA512: e2d8852a18ec3a637aba7b4f96e59dc15a83a8384269e56d14ccf4b7368c78f084f93699bcd1e28ccdf3dedcda37f24b2f5c6f752f46cdfed1c2f0edc4427f07
Homepage: https://cran.r-project.org/package=RcmdrPlugin.BWS2
Description: CRAN Package 'RcmdrPlugin.BWS2' (R Commander Plug-in for Case 2 Best-Worst Scaling)
 Adds menu items for case 2 (profile case) best-worst scaling (BWS2) to the R
 Commander. BWS2 is a question-based survey method that constructs profiles
 (combinations of attribute levels) using an orthogonal array, asks
 respondents to select the best and worst levels in each profile, and
 measures preferences for attribute levels by analyzing the responses. For
 details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.

Package: r-cran-rcmdrplugin.bws3
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-support.bws3, r-cran-support.ces, r-cran-survival, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.bws3_0.3-1-1.ca2004.1_all.deb
Size: 102884
MD5sum: b0baaad5820e8f762f2556b991cb6c34
SHA1: d6aacabf1c397f4643201692eee0cbaa2cc6d260
SHA256: 68e02afaa9441044673777a64ffe845c8258bd2254e1e0aa8c15eb5cf42ff5d7
SHA512: de04914b21f0aeb551839c12392c2d78f125597810ef7664e275b38d75ad0eba36eebd6d736052552956dbe09755041ad2ba802d4c94814e01c0d736485fcdde
Homepage: https://cran.r-project.org/package=RcmdrPlugin.BWS3
Description: CRAN Package 'RcmdrPlugin.BWS3' (R Commander Plug-in for Case 3 Best-Worst Scaling)
 Adds menu items for case 3 (multi-profile) best-worst scaling (BWS3) to the
 R Commander. BWS3 is a question-based survey method that designs various
 combinations of attribute levels (profiles), asks respondents to select the
 best and worst profiles in each choice set, and then measures preferences
 for the attribute levels by analyzing the responses. For details on BWS3,
 refer to Louviere et al. (2015) <doi:10.1017/CBO9781107337855>.

Package: r-cran-rcmdrplugin.coin
Architecture: all
Version: 1.0-23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcmdr, r-cran-coin, r-cran-survival, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.coin_1.0-23-1.ca2004.1_all.deb
Size: 126584
MD5sum: 8c747b39990e1198410b8ec87bd4eaff
SHA1: ef7caee1ddfacc4741286f6f164b3d0bc703c394
SHA256: ea1da142325c8e6afb905a120c697ba970f21ba22ac0d415dee9aeeedc577acd
SHA512: 2aba3674ad18f4f2bfa86b1bb0ab7d0eb65d87a75cf9daf66bc52d17555d05296193c9be4efe11ea49e03627f6668dfb8df23fd9138b263c5b10b1e29403dded
Homepage: https://cran.r-project.org/package=RcmdrPlugin.coin
Description: CRAN Package 'RcmdrPlugin.coin' (Rcmdr Coin Plug-in)
 Rcmdr GUI extension plug-in for coin package (Conditional Inference
 Procedures in a Permutation Test Framework).

Package: r-cran-rcmdrplugin.cpd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cpd, r-cran-rcmdrmisc, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.cpd_0.2.0-1.ca2004.1_all.deb
Size: 90824
MD5sum: 5a7b997546839f050e6fc3d5fdb4d843
SHA1: 3109805b907584f58dab7ab2a5c87f2d64b1e087
SHA256: 7a0912e567c3557a99acfa40fb33baff437248fb0287510306617219b95a2873
SHA512: 4c553e4ff03c0a74a7616d144077f752fb539d9596d495f9370a017a868cd98b1bbb3fff120bc5f7fbf3c183ed1d5e1e8bd0a99bc60659f21dc7c3d2cb003eb5
Homepage: https://cran.r-project.org/package=RcmdrPlugin.cpd
Description: CRAN Package 'RcmdrPlugin.cpd' (R Commander Plug-in for Complex Pearson Distributions)
 Provides an 'Rcmdr' plug-in based on the 'cpd' package.

Package: r-cran-rcmdrplugin.dccv
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dcchoice, r-cran-rcmdr, r-cran-isocodes
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.dccv_0.2-0-1.ca2004.1_all.deb
Size: 65772
MD5sum: 7bcb6e7fa150d84311528c2852c35e61
SHA1: 66014dd5f789b35cc65af72a8124ca564bd66d71
SHA256: 17e4f6cb5c7b44d344b9d1614363b802f5a80d53e3a73802b2d0f958e90a2de8
SHA512: ed5e898391b380b2339a1d87dc070cd87d77cd1da1b3317a5a2961a4f3281a1056f681427f9974b442a1298184e95920cf2d02ed85ac88d9453599b9b4731fe7
Homepage: https://cran.r-project.org/package=RcmdrPlugin.DCCV
Description: CRAN Package 'RcmdrPlugin.DCCV' (R Commander Plug-in for Dichotomous Choice Contingent Valuation)
 Adds menu items to the R Commander for parametric analysis of dichotomous
 choice contingent valuation (DCCV) data. CV is a question-based survey
 method to elicit individuals' preferences for goods and services. This
 package depends on functions regarding parametric DCCV analysis in the
 package DCchoice. See Carson and Hanemann (2005)
 <doi:10.1016/S1574-0099(05)02017-6> for DCCV.

Package: r-cran-rcmdrplugin.dce
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-support.ces, r-cran-survival, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.dce_0.3-1-1.ca2004.1_all.deb
Size: 92584
MD5sum: 81ce1515085fac1bc22d2d9fe5eb16cd
SHA1: 71a8d14a29dc0ffe41cf0a3bfb885a6f4055b557
SHA256: 2c1b67fa63cc76287f29479c1bf5fd4a25f93739d5d36a5f4c48b1342c7f79e1
SHA512: 89e6b28b214aa0117db20bf64e3b37de07033bc7fbb594f7d31e219eb76fdd338d1819abbddc3d559406e2e5da1839a074a2da2b054e1466941b34a9ffaa0de8
Homepage: https://cran.r-project.org/package=RcmdrPlugin.DCE
Description: CRAN Package 'RcmdrPlugin.DCE' (R Commander Plug-in for Discrete Choice Experiments)
 Adds menu items for discrete choice experiments (DCEs) to the R Commander.
 DCE is a question-based survey method that designs various combinations
 (profiles) of attribute levels using the experimental designs, asks
 respondents to select the most preferred profile in each choice set, and
 then measures preferences for the attribute levels by analyzing the
 responses. For details on DCEs, refer to Louviere et al. (2000)
 <doi:10.1017/CBO9780511753831>.

Package: r-cran-rcmdrplugin.depthtools
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-depthtools
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.depthtools_1.4-1.ca2004.1_all.deb
Size: 70920
MD5sum: cbf98e844448d8428f9b078969f02d8e
SHA1: 1b80dc87223511369ce99c265e009d8592938b60
SHA256: 59f73b03fca729a75b941c414c6d49c0b122f1739657acf6bca7403976e44437
SHA512: 612b7663171c40349c5f67fedf24d9be6d86098785a885e4bab168b2b4f1d2caad6140e30b2d09ba7e25d4d800972bcfcb3226c67ec7ec1891dc0024646e49df
Homepage: https://cran.r-project.org/package=RcmdrPlugin.depthTools
Description: CRAN Package 'RcmdrPlugin.depthTools' (R Commander Depth Tools Plug-in)
 We provide an Rcmdr plug-in based on the depthTools package, which
 implements different robust statistical tools for the description and
 analysis of gene expression data based on the Modified Band Depth, namely,
 the scale curves for visualizing the dispersion of one or various groups of
 samples (e.g. types of tumors), a rank test to decide whether two groups of
 samples come from a single distribution and two methods of supervised
 classification techniques, the DS and TAD methods.

Package: r-cran-rcmdrplugin.doe
Architecture: all
Version: 0.12-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doe.base, r-cran-frf2, r-cran-doe.wrapper, r-cran-rcmdr, r-cran-rcmdrmisc
Suggests: r-cran-frf2.catlg128
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.doe_0.12-6-1.ca2004.1_all.deb
Size: 2158644
MD5sum: fa41d38fdb4f0fcc89a262d1d54dbc2b
SHA1: 76f21fb6524404a88c5bdeb985ab9bb556be7caa
SHA256: 9ad067487fbf5121194578c2f6e60522fe80bfd6e3b1248dbe13ab147d1a6daa
SHA512: 63211fbc2071e2e2f672619072ee2c3c28b1bd4098e75926ef44ab7dde723d4c062ae18d038a53f6d46bf27e08008b2861688cd4057d16a7f177df2063a4f2ac
Homepage: https://cran.r-project.org/package=RcmdrPlugin.DoE
Description: CRAN Package 'RcmdrPlugin.DoE' (R Commander Plugin for (Industrial) Design of Experiments)
 Provides a platform-independent GUI for design of experiments. The package
 is implemented as a plugin to the R-Commander, which is a more general
 graphical user interface for statistics in R based on tcl/tk. DoE
 functionality can be accessed through the menu Design that is added to the
 R-Commander menus.

Package: r-cran-rcmdrplugin.eacspir
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r2html, r-cran-abind, r-cran-ez, r-cran-nortest, r-cran-reshape, r-cran-rcmdr, r-cran-rcmdrmisc
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.eacspir_0.2-3-1.ca2004.1_all.deb
Size: 406892
MD5sum: af634a0f08160f823a1f975f5e042f01
SHA1: 7a92214f0c442882fe408da1b76f418beb497823
SHA256: 1643dd9fa402ba8e3514969ec0b8169514484599103c8abeb67d346ed1e2c0cb
SHA512: fedd0cfad38ad9e276f8d9b9c06efc5f678109d844c0ddbe56f6406aa78e52d07149a96aa1dab4ee8a55646550127743daabc212cd8793b4b3fd318ad1281d1b
Homepage: https://cran.r-project.org/package=RcmdrPlugin.EACSPIR
Description: CRAN Package 'RcmdrPlugin.EACSPIR' (Plugin de R-Commander para el Manual 'EACSPIR')
 Este paquete proporciona una interfaz grafica de usuario (GUI) para algunos
 de los procedimientos estadisticos detallados en un curso de 'Estadistica
 aplicada a las Ciencias Sociales mediante el programa informatico R'
 (EACSPIR). LA GUI se ha desarrollado como un Plugin del programa
 R-Commander.

Package: r-cran-rcmdrplugin.ebm
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-epir, r-cran-abind
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.ebm_1.0-10-1.ca2004.1_all.deb
Size: 62476
MD5sum: ea25a0ad5b7cd414a2c525089d048d68
SHA1: 49c8e4896b2e1df590a8337db582cdbfd147865f
SHA256: cd8f5a92db4f1bb673628362f9baee73e4443540bed6838f75da1f63bcaea8a1
SHA512: 6e64679eb338dd7afceacac6a726b1c6873a8f80d10eb8676ff6e236a8c399e4bbda6c0fc7af1c8f7c6ff3d7ee24b704edaef430683a4b606dc8fd86369ff5ec
Homepage: https://cran.r-project.org/package=RcmdrPlugin.EBM
Description: CRAN Package 'RcmdrPlugin.EBM' (Rcmdr Evidence Based Medicine Plug-in Package)
 Rcmdr plug-in GUI extension for Evidence Based Medicine medical indicators
 calculations (Sensitivity, specificity, absolute risk reduction, relative
 risk, ...).

Package: r-cran-rcmdrplugin.ecovirtual
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-ecovirtual
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.ecovirtual_1.0-1.ca2004.1_all.deb
Size: 149264
MD5sum: 02ca01278e1d738a9781386f72e0aded
SHA1: c5a4202184f0febe4610591a291b2489261782a3
SHA256: 8d3cfbf6e249a3013066e35ee25a7e75c5f2bdc4e10feae6a5aebac0ec7fc5ed
SHA512: 7a2e3cc0ea83e97d09ff3256568f53338bf949c6577842e8e819abfa06bfb307ab803be69ff5f5f5b0541b7aac925e0a64a9dd2140af2165964b46a53333ea3c
Homepage: https://cran.r-project.org/package=RcmdrPlugin.EcoVirtual
Description: CRAN Package 'RcmdrPlugin.EcoVirtual' (Rcmdr EcoVirtual Plugin)
 A Rcmdr "plug-in" for the EcoVirtual package, designed primarily for
 teaching ecological models using simulations.

Package: r-cran-rcmdrplugin.export
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-xtable, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.export_0.3-1-1.ca2004.1_all.deb
Size: 70172
MD5sum: 2599ae13a3c1570cdced1d0baf70a165
SHA1: 237099a6406ae86ddb0db638b655c8ed70625986
SHA256: b74180043df5fd7c137b02d4144e650d5db28360a57cd577b33865cc269f785f
SHA512: 74db23eabc1b1e968cdb50a5dcd32aab97e5c343ea701512973f013319ef95ff0daa16a685fdc0ea96d32432d479c7cf12f09a5db52d387518f82336bc77284f
Homepage: https://cran.r-project.org/package=RcmdrPlugin.Export
Description: CRAN Package 'RcmdrPlugin.Export' (Export R Output to LaTeX or HTML)
 Export Rcmdr output to LaTeX or HTML code. The plug-in was originally
 intended to facilitate exporting Rcmdr output to formats other than ASCII
 text and to provide R novices with an easy-to-use, easy-to-access reference
 on exporting R objects to formats suited for printed output. The package
 documentation contains several pointers on creating reports, either by using
 conventional word processors or LaTeX/LyX.

Package: r-cran-rcmdrplugin.ezr
Architecture: all
Version: 1.68-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2582
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcmdr, r-cran-readstata13
Suggests: r-cran-abind, r-cran-aod, r-cran-aplpack, r-cran-brant, r-cran-car, r-cran-clinfun, r-cran-cmprsk, r-cran-consort, r-cran-foreign, r-cran-ggplot2, r-cran-lawstat, r-cran-meta, r-cran-metatest, r-cran-netmeta, r-cran-multcomp, r-cran-mvtnorm, r-cran-matching, r-cran-plotly, r-cran-proc, r-cran-survivalroc, r-cran-survrm2, r-cran-tableone, r-cran-readxl, r-cran-lmertest, r-cran-swimplot, r-cran-currentsurvival, r-cran-rstatix
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.ezr_1.68-1.ca2004.1_all.deb
Size: 2229868
MD5sum: a0bb12980a948d74d0e4d6b12cb263de
SHA1: 21cef23d4fb4f1588776a72b3177abc531ee8945
SHA256: ea2b3a3acd55f3d353639c948ebe2f460c267b2d00b7541f4482e0c0c483b0fd
SHA512: cc6c451b9fdee4ef8cbfe0199d4340a251a87ac8be33e034d2356935c394229ef2dfd72877d45197bb76c6d887470a38bea2ff76c51f4659fcc4c901fa257f6f
Homepage: https://cran.r-project.org/package=RcmdrPlugin.EZR
Description: CRAN Package 'RcmdrPlugin.EZR' (R Commander Plug-in for the EZR (Easy R) Package)
 EZR (Easy R) adds a variety of statistical functions, including survival
 analyses, ROC analyses, metaanalyses, sample size calculation, and so on, to
 the R commander. EZR enables point-and-click easy access to statistical
 functions, especially for medical statistics. EZR is platform-independent
 and runs on Windows, Mac OS X, and UNIX. Its complete manual is available
 only in Japanese (Chugai Igakusha, ISBN: 978-4-498-10918-6, Nankodo, ISBN:
 978-4-524-26158-1, Ohmsha, ISBN: 978-4-274-22632-8), but an report that
 introduced the investigation of EZR was published in Bone Marrow
 Transplantation (Nature Publishing Group) as an Open article. This report
 can be used as a simple manual. It can be freely downloaded from the journal
 website as shown below. This report has been cited in more than 10,000
 scientific articles.

Package: r-cran-rcmdrplugin.factominer
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-factominer, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.factominer_1.8-1.ca2004.1_all.deb
Size: 489900
MD5sum: 4ac25e85e75ea97454d3e3baa2ca42d4
SHA1: 799029e900223969fe9ed967070f91224b4dda24
SHA256: 2fb437af000356fc47a849eb20f6aadfbad8f378cb42fb04575adb5370230bbd
SHA512: 8d22ad8fa322529c6f3f40b543e603c1c5f7c592c0c6394dc27fdf203db5ff71daf8ab4f6964c08308521d7ea93f3217290a45d58ce9d8645d65b5ff37b2441e
Homepage: https://cran.r-project.org/package=RcmdrPlugin.FactoMineR
Description: CRAN Package 'RcmdrPlugin.FactoMineR' (Graphical User Interface for FactoMineR)
 Rcmdr Plugin for the 'FactoMineR' package.

Package: r-cran-rcmdrplugin.gwrm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gwrm, r-cran-rcmdrmisc, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.gwrm_1.0.2-1.ca2004.1_all.deb
Size: 45376
MD5sum: da830bcf7b64d0718e7fd85eacdad51c
SHA1: 6fad5ff8c914b4bc6d47a9577d3bfbfc998cf669
SHA256: 10008271eb163506c9a30ad62339544c0efb88e12661e4c0203d09e5ba776e1f
SHA512: b2da5b843ec68e99e92135fd1729e2d80c29a232fe0edad027bd9e12e216300a07bee83780c73e2825e863d750e9e9d10d94a4cde5d1456bec3c3f109ec8bd26
Homepage: https://cran.r-project.org/package=RcmdrPlugin.GWRM
Description: CRAN Package 'RcmdrPlugin.GWRM' (R Commander Plug-in for Fitting Generalized Waring RegressionModels)
 Provides an Rcmdr "plug-in" based on the GWRM package.

Package: r-cran-rcmdrplugin.hh
Architecture: all
Version: 1.1-51-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hh, r-cran-rcmdr, r-cran-lattice, r-cran-mgcv
Suggests: r-cran-car, r-cran-leaps, r-cran-latticeextra, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.hh_1.1-51-1.ca2004.1_all.deb
Size: 253132
MD5sum: 24273358d2b6b9c817d88c07842ae0ea
SHA1: 09190981a6a1ea7982f11f26a08412529739cd2d
SHA256: 5e51c87146a9339b23cb0eecaf670965eaeb99142bcfb5e0cf07c872ccea6f0a
SHA512: 12dfe5d85ef7cc490d35e1c94eeb0e3edd643f22cf64ae602a85bfabe536cea02badd354d0836a6bf34df4e22304c76179d79f520b215891b227e715f410ecbc
Homepage: https://cran.r-project.org/package=RcmdrPlugin.HH
Description: CRAN Package 'RcmdrPlugin.HH' (Rcmdr Support for the HH Package)
 Rcmdr menu support for many of the functions in the HH package.  The focus
 is on menu items for functions we use in our introductory courses.

Package: r-cran-rcmdrplugin.ipsur
Architecture: all
Version: 0.2-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 544
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr
Suggests: r-cran-abind, r-cran-car, r-cran-distr, r-cran-distrex, r-cran-e1071, r-cran-effects, r-cran-foreign, r-cran-lattice, r-cran-lmtest, r-cran-mass, r-cran-mgcv, r-cran-multcomp, r-cran-nlme, r-cran-nnet, r-cran-qcc, r-cran-relimp, r-cran-rodbc
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.ipsur_0.2-1.1-1.ca2004.1_all.deb
Size: 476156
MD5sum: ce212d9186f122e9aa92c29891961561
SHA1: 2e5cc331879e05f555fca145a3ba2efd33ac1343
SHA256: bcb2b219f6101393a0916117b275ebd9aaf3fde37fde3b654b89f87c809a0819
SHA512: 536cee8cd64a4471bec9e8aeebc54da1a2ffd7ec9e15f2ac4da393caa67d304179e07a13873ab7a176de6e6bdd69ef3c4361668f6faf25413056481b76e2dbe2
Homepage: https://cran.r-project.org/package=RcmdrPlugin.IPSUR
Description: CRAN Package 'RcmdrPlugin.IPSUR' (An IPSUR Plugin for the R Commander)
 Provides an R Commander plugin that accompanies IPSUR, an Introduction to
 Probability and Statistics Using R.

Package: r-cran-rcmdrplugin.kmggplot2
Architecture: all
Version: 0.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 908
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcmdr, r-cran-ggplot2, r-cran-rlang, r-cran-ggthemes, r-cran-plyr, r-cran-rcolorbrewer, r-cran-scales, r-cran-survival, r-cran-tcltk2
Suggests: r-cran-extrafont, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.kmggplot2_0.2-7-1.ca2004.1_all.deb
Size: 725844
MD5sum: 30a702e2095fc6a40c2000a9daa19ac7
SHA1: 396f8cb556aa2f69e395bda6e0aeb15380120e01
SHA256: 8e9c0d6cae582e9ce0c6e9f9ff2c03fc6bd7fd025d65a9c1055b8949db21cb40
SHA512: a7cce9165ad199a7980bb28f71beff30475f69987fc0886f47662883182d9792dc8baf97709da2117ccff5cd5ae6889521a6a4367c5a3768d5665569f84e5595
Homepage: https://cran.r-project.org/package=RcmdrPlugin.KMggplot2
Description: CRAN Package 'RcmdrPlugin.KMggplot2' (R Commander Plug-in for Data Visualization with 'ggplot2')
 A GUI front-end for 'ggplot2' supports Kaplan-Meier plot, histogram, Q-Q
 plot, box plot, errorbar plot, scatter plot, line chart, pie chart, bar
 chart, contour plot, and distribution plot.

Package: r-cran-rcmdrplugin.lfstat
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 874
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lfstat, r-cran-rcmdr
Suggests: r-cran-testthat, r-cran-lmomrfa
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.lfstat_0.8.3-1.ca2004.1_all.deb
Size: 663796
MD5sum: 7f37bf0d98a7db7b52077d3091b7e5aa
SHA1: 4d647a4a68802142ac672e4e0fd87c6d1c72bb6e
SHA256: e1a0812fa3b0e8ae4d3ddd2af441bdb60a56fef0e795b694cbe317fa5293cb0c
SHA512: 6fd115e45970f7935dedc83ed01a1a63f559397ca13bafa61287902d8251e5c3d4cf900848c07ccf56ccdc3d8fb4fd0c852355bf149cc2d629bfcbc22776b8b7
Homepage: https://cran.r-project.org/package=RcmdrPlugin.lfstat
Description: CRAN Package 'RcmdrPlugin.lfstat' ('Rcmdr' Plug-in for Low Flow Analysis)
 Provides an Rcmdr "plug-in" based on the 'lfstat' package for low flow
 analysis.

Package: r-cran-rcmdrplugin.ma
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-mad, r-cran-metafor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-compute.es, r-cran-ggplot2, r-cran-gridextra, r-cran-scales
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.ma_0.0-2-1.ca2004.1_all.deb
Size: 215696
MD5sum: 6f68b90adf69cc76cd74146a5276667f
SHA1: f12a4f47a0a12cf086318d00dcd5824a84b4ba78
SHA256: db0e784347bc4d601d7ee38f92501a8110a9d6a829a0b99c340a61683f527099
SHA512: b84f72b41bfe2d4da8b81dd41bb59da9452ffaa9efdc3e6a01857e3729c68d7b36366d42fe2d63ced02566d95760b5ca4babdc41aff7e1b4ca3bc4d55aba8603
Homepage: https://cran.r-project.org/package=RcmdrPlugin.MA
Description: CRAN Package 'RcmdrPlugin.MA' (Graphical User Interface for Conducting Meta-Analyses in R)
 Easy to use interface for conducting meta-analysis in R. This package is an
 Rcmdr-plugin, which allows the user to conduct analyses in a menu-driven,
 graphical user interface environment (e.g., CMA, SPSS). It uses recommended
 procedures as described in The Handbook of Research Synthesis and
 Meta-Analysis (Cooper, Hedges, & Valentine, 2009).

Package: r-cran-rcmdrplugin.mpastats
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-ordinal
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.mpastats_1.2.2-1.ca2004.1_all.deb
Size: 166100
MD5sum: 56efc857254f487daf6135afe7d637c7
SHA1: 1835908dee793bef1fd49820e1975f69a0746fd3
SHA256: aecf0d461cdd38f79c82b1ecd3bfb5e0a0944661caa671d4a60703cc70d5b7ff
SHA512: 5d033223a6379c321aee9918c2736b3ccf451c032bad5026bbd2a39ec070c5e052bd66b167a3145cdc23080c17df122cc7072f7f225a03126b073a61cc913619
Homepage: https://cran.r-project.org/package=RcmdrPlugin.MPAStats
Description: CRAN Package 'RcmdrPlugin.MPAStats' (R Commander Plug-in for MPA Statistics)
 Extends R Commander with a unified menu of new and pre-existing statistical
 functions related to public management and policy analysis statistics.
 Functions and menus have been renamed according to the usage in PMGT 630 in
 the Master of Public Administration program at Brigham Young University.

Package: r-cran-rcmdrplugin.nmbu
Architecture: all
Version: 1.8.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 552
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mixlm, r-cran-mass, r-cran-pls, r-cran-xtable, r-cran-phia, r-cran-rcmdr, r-cran-car
Suggests: r-cran-lme4, r-cran-leaps, r-cran-mvtnorm, r-cran-gmodels, r-cran-abind, r-cran-lattice, r-cran-pbkrtest, r-cran-vcd, r-cran-multcomp, r-cran-e1071, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.nmbu_1.8.15-1.ca2004.1_all.deb
Size: 485080
MD5sum: 566a55e4424b65aa6d311286ccc8fcdc
SHA1: 9d7a5d1ccdcdab5621f5e27e138265a6025538d0
SHA256: 06f5b9645bf0c0b9cf5edebc6f764c25fdad37cbf712fdc11086655cefbfc589
SHA512: b525c1e74ddfc1bd9d92d28d808f36c457b19756c2048d3e490c71f00fabb9ed9bc74e8b718a2e6d1b9eb6468a55b6d18035e17f3afd836a291203543ee34758
Homepage: https://cran.r-project.org/package=RcmdrPlugin.NMBU
Description: CRAN Package 'RcmdrPlugin.NMBU' (R Commander Plug-in for University Level Applied Statistics)
 An R Commander "plug-in" extending functionality of linear models and
 providing an interface to Partial Least Squares Regression and Linear and
 Quadratic Discriminant analysis. Several statistical summaries are extended,
 predictions are offered for additional types of analyses, and extra plots,
 tests and mixed models are available.

Package: r-cran-rcmdrplugin.orloca
Architecture: all
Version: 4.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orloca, r-cran-orloca.es, r-cran-rcmdr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.orloca_4.8.2-1.ca2004.1_all.deb
Size: 362428
MD5sum: 5de1798658037a06c96ca3f6ec23e892
SHA1: 8d5da362971122fb8e9015c2f805ff940abb2e40
SHA256: 5e25003c24ccf7302150542a31e40d11159225a06e4fe59c2f3cc1e501dba1a2
SHA512: a328220ffee5418b6a6fada9ddf5f7875a2cd9825e24cc55533474058d445ec45affd9f9f91b68f07ee9c6b31428c0523c2fe43ef08a329628e5772958f818e8
Homepage: https://cran.r-project.org/package=RcmdrPlugin.orloca
Description: CRAN Package 'RcmdrPlugin.orloca' (A GUI for Planar Location Problems)
 A GUI for the orloca package is provided as a Rcmdr plug-in. The package
 deals with continuos planar location problems.

Package: r-cran-rcmdrplugin.pcarobust
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rrcov, r-cran-tkrplot, r-cran-rcmdr, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.pcarobust_1.1.4-1.ca2004.1_all.deb
Size: 28200
MD5sum: 8be3f4f57aed882ec2b1e6e16ec6c0f4
SHA1: 78d4eaa7450b3ea407bd3cc5cabb345e9f74535b
SHA256: 5fe89cb269ef1f99427442b637241cca7877a4be9509b1ef9a6a8b73dce69c56
SHA512: 26cb7376e04a6d3cccb44332b9803d6335583b873fdad86a052d768b53e2504d2bee25961b2ffbe22503403250cd93778c7fa85b587dd21a7b518ce6e280ad03
Homepage: https://cran.r-project.org/package=RcmdrPlugin.PcaRobust
Description: CRAN Package 'RcmdrPlugin.PcaRobust' (R Commander Plug-in for Robust Principal Component Analysis)
 The R commander plug-in for robust principal component analysis. The
 Graphical User Interface for Principal Component Analysis (PCA) with Hubert
 Algorithm method.

Package: r-cran-rcmdrplugin.plotbygroup
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.plotbygroup_0.1-0-1.ca2004.1_all.deb
Size: 26128
MD5sum: 1c146d82752c4e65b11f82f5544ee936
SHA1: e38261395688a41ab775a6b2faef046c5fc48ebc
SHA256: 3505a8306942633eeaa33f4c0b68e63d1d756f894b2c29d37c1864cc0ce4d41e
SHA512: a8a28470eeef49d042d39b732dd010189bbf4da7b5a60a418b6a29829bcf3c6bb933dacfd7b629844bcc2c6b4d80fe513e515d8c1c81211f2e763d8f6fd5524c
Homepage: https://cran.r-project.org/package=RcmdrPlugin.plotByGroup
Description: CRAN Package 'RcmdrPlugin.plotByGroup' (Rcmdr plots by group using lattice)
 Rcmdr menu support for some of the graphics by group in the lattice package

Package: r-cran-rcmdrplugin.pointg
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-rcolorbrewer
Suggests: r-cran-yaletoolkit, r-cran-mass, r-cran-lattice, r-cran-qgraph, r-cran-maps, r-cran-ade4, r-cran-effects, r-cran-abind, r-cran-nnet, r-cran-vcd, r-cran-car, r-cran-gpairs, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.pointg_0.6.6-1.ca2004.1_all.deb
Size: 177860
MD5sum: d39a3fcf8c32c9be74f6c74ed084d3b9
SHA1: 03e4ce604772bb7abbd921660170c3de85cd1a6d
SHA256: b0572efc91b5c9408e66f618d849574bc88fb7f0ce5218dfef6746044bf947ee
SHA512: c3dbe3f4f5023c23316827fe4841641093affe0cac7455a1c99fe5261fabd529624643fc5cf9e3242fbead6fe2b57c107cefcec3b2f31b17047ab1ed17cd8259
Homepage: https://cran.r-project.org/package=RcmdrPlugin.pointG
Description: CRAN Package 'RcmdrPlugin.pointG' (Graphical POINT of view for questionnaire data Rcmdr Plug-In)
 This package provides a Rcmdr "plug-in" to analyze questionnaire data.

Package: r-cran-rcmdrplugin.riskdemo
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4436
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcmdr, r-cran-demography, r-cran-forecast, r-cran-ftsa, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-zoo, r-cran-data.table
Suggests: r-cran-tkrplot, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.riskdemo_3.2-1.ca2004.1_all.deb
Size: 4415724
MD5sum: daa3656231a6ccf0478204cb08458b06
SHA1: bada8dce7a13d7eecf844295fb5d076805ee0279
SHA256: 9ebc77998a6dac2e2ff84c9a1ecd1d840d7e15f8bf2787658b0ec733e87df17a
SHA512: 5225443df2ac70bf6ad8670f445964e123428b88115c0ce1905ea86641683063dd3d1985109552819c24cc4a7e3bda1109de4a4394731a1a2e8f8238e9db1408
Homepage: https://cran.r-project.org/package=RcmdrPlugin.RiskDemo
Description: CRAN Package 'RcmdrPlugin.RiskDemo' (R Commander Plug-in for Risk Demonstration)
 R Commander plug-in to demonstrate various actuarial and financial risks. It
 includes valuation of bonds and stocks, portfolio optimization, classical
 ruin theory, demography and epidemic.

Package: r-cran-rcmdrplugin.rmtcjags
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-runjags, r-cran-rmeta, r-cran-igraph, r-cran-coda, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.rmtcjags_1.0-2-1.ca2004.1_all.deb
Size: 53736
MD5sum: 169723cf13514fa1ebf6cb605edf5adf
SHA1: ed5b4c979cdcd3283aecafc0887b018f838036f1
SHA256: f05613ba7236fbd1b764fb15aabe5c6ad18feae8ee2259e847194859137f90ff
SHA512: 0c4911ccb74ad029fd2ef723094b6a16702c7de3f181f1fd805ab2fbbb5544d391f8ef80e837c5c6d2e5fea7a2d8bce8e007f0b89f85dce1ffdb8c9d8734f1f4
Homepage: https://cran.r-project.org/package=RcmdrPlugin.RMTCJags
Description: CRAN Package 'RcmdrPlugin.RMTCJags' (R MTC Jags 'Rcmdr' Plugin)
 Mixed Treatment Comparison is a methodology to compare directly and/or
 indirectly health strategies (drugs, treatments, devices). This package
 provides an 'Rcmdr' plugin to perform Mixed Treatment Comparison for binary
 outcome using BUGS code from Bristol University (Lu and Ades).

Package: r-cran-rcmdrplugin.roc
Architecture: all
Version: 1.0-19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcmdr, r-cran-proc, r-cran-resourceselection
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.roc_1.0-19-1.ca2004.1_all.deb
Size: 170448
MD5sum: 0f6a2078eb79723d98dccec98e4cda52
SHA1: 68486b749d9bf10a2da2863c9e8cfc9f0e7c31bc
SHA256: c449bc07649352b579247ffdffe8d463473cb057fc2b8a78c1314102db3784d4
SHA512: f072bb5582782a406edaa45c8d72f3e147b35646e98cf6e9cd5ee0c5bb4ef60a38abcbd742b9408c53453821cd0273d91f0cbd5252cfaf7cc2fa21098de2fcdf
Homepage: https://cran.r-project.org/package=RcmdrPlugin.ROC
Description: CRAN Package 'RcmdrPlugin.ROC' (Rcmdr Receiver Operator Characteristic Plug-in Package)
 Rcmdr GUI extension plug-in for Receiver Operator Characteristic tools from
 pROC package. Also it ads a Rcmdr GUI extension for Hosmer and Lemeshow GOF
 test from the package ResourceSelection.

Package: r-cran-rcmdrplugin.sampling
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-sampling, r-cran-mass, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.sampling_1.1-1.ca2004.1_all.deb
Size: 158384
MD5sum: 8c81eb819c7eba423f3eb677375ce4d1
SHA1: 08fcfce22fbb2c6ea0c0b7178cfa3179464f5344
SHA256: 621ac74757200aa095bd5221720ee70dc392f3ffc1ab2c84ae6299d64f297a8f
SHA512: a78eeb269208fcef4a88f9007f228a46155f7f996b439133ce26ae8150004243e88c91f0b29d81dd5f23a668f110012917630cf708bfac931972c0a59f12b661
Homepage: https://cran.r-project.org/package=RcmdrPlugin.sampling
Description: CRAN Package 'RcmdrPlugin.sampling' (Tools for sampling in Official Statistical Surveys)
 This package includes tools for calculating sample sizes and selecting
 samples using various sampling designs. This package is an extension of
 RcmdrPlugin.EHESsampling which was developed as part of the EHES pilot
 project.  The EHES Pilot project has received funding from the European
 Commission and DG Sanco. The views expressed here are those of the authors
 and they do not represent Commission's official position.

Package: r-cran-rcmdrplugin.scda
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scva, r-cran-scrt, r-cran-scma, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.scda_1.2.0-1.ca2004.1_all.deb
Size: 93352
MD5sum: 43d24c37feae02ea3e55f230ba30cd19
SHA1: 2d585271053350837dcfe2bcd3e411ea3a4ac275
SHA256: d49eb61d5c77a9dca07eec8a2920a20ee02c67f6f3453f7bb5927411e4bfc679
SHA512: 5ae1c98c6eef94289d2f04896d4f7b272a0d294bd727680d94529d92cbd152b639b28c93d4265e45077f3a4a708cb9a5191392990b8a25d13760834367e3fc2f
Homepage: https://cran.r-project.org/package=RcmdrPlugin.SCDA
Description: CRAN Package 'RcmdrPlugin.SCDA' (Rcmdr Plugin for Designing and Analyzing Single-Case Experiments)
 Provides a GUI for the SCVA, SCRT and SCMA packages as described in Bulte
 and Onghena (2013) <doi:10.22237/jmasm/1383280020>. The package is written
 as an Rcmdr plugin.

Package: r-cran-rcmdrplugin.slc
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-slc, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.slc_0.2-1.ca2004.1_all.deb
Size: 17316
MD5sum: c04b340010cf8598fad34c051d88ebcc
SHA1: 8e060ba47191eea15e22afbf6dddbac59fa5bb94
SHA256: ba7e1a5652808efe53dad859590e5e4599b2479754997a809a4e14925e25f869
SHA512: 747cb0f4655ffb369ef3bf395cfdb327cdd4ab744e5dc4e3ecf8bcb32fbf10596cc3e7c576996a86812da57472b71d40d08fa49e3a0ad4e2f53c27bd4a3075d7
Homepage: https://cran.r-project.org/package=RcmdrPlugin.SLC
Description: CRAN Package 'RcmdrPlugin.SLC' (SLC Rcmdr Plug-in)
 This package provides a GUI for the SLC package, it is written as an Rcmdr
 plug-in.

Package: r-cran-rcmdrplugin.sos
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sos, r-cran-rcmdr, r-cran-tcltk2
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.sos_0.3-0-1.ca2004.1_all.deb
Size: 29684
MD5sum: 2dd165a8bc52abeb624b0064e35eaf3b
SHA1: 976d7223090eaad679322280430f991d6dc12712
SHA256: 7a6e8690d57032704055911508bb00c931b097cd80c437d75de9532db56b44e0
SHA512: 897d901bb7b608152c4f8aeca574fba63edca2f0db3ffa459b81a7091e1eafd7b9b96b6e95eea0b97f81eaa52c990702f0d86c6eac17221799bccbcd35041385
Homepage: https://cran.r-project.org/package=RcmdrPlugin.sos
Description: CRAN Package 'RcmdrPlugin.sos' (Efficiently search the R help pages)
 Rcmdr interface to the 'sos' package. The plug-in renders the 'sos'
 searching functionality easily accessible via the Rcmdr menus. It also
 simplifies the task of performing multiple searches and subsequently
 obtaining the union or the intersection of the results.

Package: r-cran-rcmdrplugin.steepness
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-steepness
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.steepness_0.3-2-1.ca2004.1_all.deb
Size: 31848
MD5sum: 6890fd8d33f487ba12c0ad14f93e0ba4
SHA1: 6c8774043f02031d62af01ee9a4ff14f9820e05e
SHA256: 7031938ad81d04ad84e594a031a70ed4c8e332680e9f790a4a85e412eb1b3565
SHA512: 80098a45133022989e06273c1c7ef26bcc9e6fb34270387f056366d563f1d7166e088a94b6e8cc0eacf0264ce6823e90ad9a282568b0087fefa3187086dcabf3
Homepage: https://cran.r-project.org/package=RcmdrPlugin.steepness
Description: CRAN Package 'RcmdrPlugin.steepness' (Steepness Rcmdr Plug-in)
 This package provides a GUI for the steepness package, it is written as an
 Rcmdr plug-in.

Package: r-cran-rcmdrplugin.survival
Architecture: all
Version: 1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1243
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-date, r-cran-rcmdr, r-cran-car
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.survival_1.3-2-1.ca2004.1_all.deb
Size: 1112968
MD5sum: 73ff6c50d5a522df296dbc78e9e3c1b5
SHA1: bc204009f3cb67e9e9f4fdc0cf7883faa546fc82
SHA256: b9ff65ca128f5aa327ad6cfefacf322806a86bd43f29bba4847ecd50873b9c8e
SHA512: 6aaf437216f29a33e58ba460724e1de88246931c547861d7d6b08569a93a4b9d2a743d18369638c59d86adb9a6700c0da75fe6754a1b0007fc9aefa34cb9009c
Homepage: https://cran.r-project.org/package=RcmdrPlugin.survival
Description: CRAN Package 'RcmdrPlugin.survival' (R Commander Plug-in for the 'survival' Package)
 An R Commander plug-in for the survival package, with dialogs for Cox
 models, parametric survival regression models, estimation of survival
 curves, and testing for differences in survival curves, along with
 data-management facilities and a variety of tests, diagnostics and graphs.

Package: r-cran-rcmdrplugin.sutteforecastr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr, r-cran-sutteforecastr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.sutteforecastr_1.0.0-1.ca2004.1_all.deb
Size: 14300
MD5sum: 71217531a19c198fd67495c87e70652d
SHA1: 354cd74a8c9782f7d1ff762f274f20b648b5de91
SHA256: 0836e3aa1b1702d67bbda81cf6b193e5338165775a2527a6caf8755e1341a699
SHA512: f470a11756b3c5cfd2a2855c8a95e8753fc7fb57bc27deb21cfc7c89f337cde85ccf9b8c7b2e83d51512b894dbbd1084d953fc222e906b555def9f042062e799
Homepage: https://cran.r-project.org/package=RcmdrPlugin.sutteForecastR
Description: CRAN Package 'RcmdrPlugin.sutteForecastR' ('Rcmdr' Plugin for Alpha-Sutte Indicator 'sutteForecastR')
 The 'sutteForecastR' is a package of Alpha-Sutte indicator. To make the
 'sutteForecastR' user friendly, so we develop an 'Rcmdr' plug-in based on
 the Alpha-Sutte indicator function.

Package: r-cran-rcmdrplugin.teachingdemos
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-teachingdemos, r-cran-rcmdr
Suggests: r-cran-rgl, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.teachingdemos_1.2-0-1.ca2004.1_all.deb
Size: 35148
MD5sum: ebc28ea71e926d3e12ff97d5534a2899
SHA1: 9bc9583eb056b182968b942eb745d3807f6d7d93
SHA256: b54b873a312e491a8794d7c8a0d2589c3567cf5e0029854ac3d9d43174fbc9c3
SHA512: 8f34e90fb40b0e796e10e6a91c48651e0198ab85382ea364a75a235542ba230153b3e443cae7ec2c25eb10e2648f3fee744e5923d01b2f243c15889d45b04231
Homepage: https://cran.r-project.org/package=RcmdrPlugin.TeachingDemos
Description: CRAN Package 'RcmdrPlugin.TeachingDemos' (Rcmdr Teaching Demos Plug-in)
 Provides an Rcmdr "plug-in" based on the TeachingDemos package, and is
 primarily for illustrative purposes.

Package: r-cran-rcmdrplugin.teachstat
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcmdr, r-cran-hmisc, r-cran-tcltk2, r-cran-tseries, r-cran-indexnumr, r-cran-lme4, r-cran-distr, r-cran-distrex
Suggests: r-cran-tkrplot, r-cran-e1071, r-cran-rcmdrmisc, r-cran-randtests
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.teachstat_1.1.3-1.ca2004.1_all.deb
Size: 671180
MD5sum: d09e2606ec387cc1f9adcaaafb0f9cc2
SHA1: 380bf6a1b4bc4c85de486b2f00e034e02a5dda7a
SHA256: c20b1b0dc34b7617763b6810e3c14d94c59c0fc11e92428025b448cacf52d48c
SHA512: fc005f42b841bc2173face0f66746eefdf364943e8d7d4838eebe40c80f675d7602d3886aa3444f219df1a7db55f4fd9d972b29dea2fc9d86ab0f2ab9fc8ce69
Homepage: https://cran.r-project.org/package=RcmdrPlugin.TeachStat
Description: CRAN Package 'RcmdrPlugin.TeachStat' (R Commander Plugin for Teaching Statistical Methods)
 R Commander plugin for teaching statistical methods.  It adds a new menu for
 making easier the teaching of the main concepts about the main statistical
 methods.

Package: r-cran-rcmdrplugin.temis
Architecture: all
Version: 0.7.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 684
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tm, r-cran-nlp, r-cran-slam, r-cran-zoo, r-cran-lattice, r-cran-rcmdr, r-cran-tcltk2, r-cran-ca, r-cran-r2html, r-cran-rcolorbrewer, r-cran-latticeextra, r-cran-stringi
Suggests: r-cran-snowballc, r-cran-rodbc, r-cran-tm.plugin.factiva, r-cran-tm.plugin.lexisnexis, r-cran-tm.plugin.europresse, r-cran-tm.plugin.alceste
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.temis_0.7.12-1.ca2004.1_all.deb
Size: 579416
MD5sum: f99814d8b55e8bacf806d63376f3df6f
SHA1: ffd87b7419e0e0727a8f59a87fc65dd4c505c99d
SHA256: 7dc3fd226eaf61edb8e7bd4e4b5a4e1d4c139b31267625578afd4d1d9010cd54
SHA512: b66bf2a9c5847bbd4758bef8224d8c859962df3ec854b4cff5bfeced550d17185a5d1c79060a75120f29389c50184f6c3bbb7654a74d39ff59879570731f8f36
Homepage: https://cran.r-project.org/package=RcmdrPlugin.temis
Description: CRAN Package 'RcmdrPlugin.temis' (Graphical Integrated Text Mining Solution)
 An 'R Commander' plug-in providing an integrated solution to perform a
 series of text mining tasks such as importing and cleaning a corpus, and
 analyses like terms and documents counts, vocabulary tables, terms
 co-occurrences and documents similarity measures, time series analysis,
 correspondence analysis and hierarchical clustering. Corpora can be imported
 from spreadsheet-like files, directories of raw text files, as well as from
 'Dow Jones Factiva', 'LexisNexis', 'Europresse' and 'Alceste' files.

Package: r-cran-rcmdrplugin.uca
Architecture: all
Version: 5.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-iqcc, r-cran-qcc, r-cran-qicharts2, r-cran-randtests, r-cran-rmarkdown, r-cran-teachingdemos, r-cran-tseries, r-cran-rcmdr
Suggests: r-cran-car, r-cran-cardata, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.uca_5.1-2-1.ca2004.1_all.deb
Size: 115532
MD5sum: a5a9de02f5db26fde585573d3e3d7ce5
SHA1: 422577c818e5364bff6f905d24b6b551c602d461
SHA256: 402a0a97e39e9156cde36fe20ca3b0833a144df1d9ba8fc78eb147c877314a75
SHA512: 4b16360e4c9b188e134b7c9068882a900c157419c8d9b7bed0b683b265f2193525ae9bb766b422667d418c74c812783bb87d97d6aad3251dfe604fd92d6e60b6
Homepage: https://cran.r-project.org/package=RcmdrPlugin.UCA
Description: CRAN Package 'RcmdrPlugin.UCA' (UCA Rcmdr Plug-in)
 Some extensions to Rcmdr (R Commander), randomness test, variance test for
 one normal sample and predictions using active model, made by R-UCA project
 and used in teaching statistics at University of Cadiz (UCA).

Package: r-cran-rcmdrplugin.worldflora
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-worldflora, r-cran-rcmdr
Suggests: r-cran-data.table, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rcmdrplugin.worldflora_1.3-1.ca2004.1_all.deb
Size: 56812
MD5sum: 1adb1456f556c92458c386261c15fbad
SHA1: 6c625bfe14dd43e5a1c516ef602a97b1d122bd98
SHA256: 78af6f8e9c97ee9a18d80946ce92ca9998a8b7d80d9bc4687a56911cbcf61d4f
SHA512: 18f5df9b2ad4e6fcdcd8a599dbf5db03e4e7039a8cff30a4f90e48f9f55b2f60ca85e571d7b2b3d5cff14fb5b6d948f3c00bbe5aa1eb32247493c00c681680a5
Homepage: https://cran.r-project.org/package=RcmdrPlugin.WorldFlora
Description: CRAN Package 'RcmdrPlugin.WorldFlora' (R Commander Plug-in for the 'WorldFlora' Package)
 An R Commander plug-in for the 'WorldFlora' package. It was mainly developed
 to show work flows and scripts for first-time users.

Package: r-cran-rcminification
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kernsmooth, r-cran-locpol
Filename: pool/dists/focal/main/r-cran-rcminification_1.2-1.ca2004.1_all.deb
Size: 80460
MD5sum: 8c30190e0a0fd86ae2094bb1c1b7a94e
SHA1: ea9dee91c19a2763044d4f36954275a3278af593
SHA256: e4736c945a42b9a2be6ec891472f95f54257dcd4f7a95ec6e761d657ff86e943
SHA512: f6fca2c7236f885e4989786702cfde83c21ec51e0cf2e089f12070ad2250891074eb05923cb24b0be8310a4ab9417589dbcf5762598a6f456c42b772d2110813
Homepage: https://cran.r-project.org/package=RCMinification
Description: CRAN Package 'RCMinification' (Random Coefficient Minification Time Series Models)
 Data sets, and functions for simulating and fitting nonlinear time series
 with minification and nonparametric models.

Package: r-cran-rcmsize
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-binom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcmsize_1.0.1-1.ca2004.1_all.deb
Size: 70160
MD5sum: 900a7bcdd70049458d98c9d71647482a
SHA1: 2cdfb6013d0b82ada94211113414336a77917bad
SHA256: 8e238559fee6c6b280e261119a1747812fc50f1f6dc2de1379bc5540b4034c28
SHA512: 19c3a06071f9790a0498f5670d09cd6f13f14260a0ce188f4a8891551890fbee6f4211f7f108ee4bc33b0ccf306dd69f6f1824bcdc04e8e4d6f279bbb872896c
Homepage: https://cran.r-project.org/package=RCMsize
Description: CRAN Package 'RCMsize' (Sample Size Calculation in Reversible Catalytic Models)
 Sample size and confidence interval calculations in reversible catalytic
 models, with applications in malaria research. Further details can be found
 in the paper by Sepúlveda and Drakeley (2015,
 <doi:10.1186/s12936-015-0661-z>).

Package: r-cran-rcna
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-modeest, r-cran-data.table, r-cran-foreach, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-rcna_1.0-1.ca2004.1_all.deb
Size: 118756
MD5sum: e2bc31e2c203a8190ad718ffcc074a3c
SHA1: 10fb5bb05d8139f5e3024ac0388e89290877f871
SHA256: eae563966470ba041a48c6c3b3ec5d639b32eddb47b3dc82918de6487163e5a3
SHA512: dd2a317fa3b8f37a803b9c4d63af138f15af26f0b44e2dc169ca58fe7e69ac2076906a8c3907b1fd0e65da43943167c9edc0dd31f9f5516dcccdf792accf1605
Homepage: https://cran.r-project.org/package=RCNA
Description: CRAN Package 'RCNA' (Robust Copy Number Alteration Detection (RCNA))
 Detects copy number alteration events in targeted exon sequencing data for
 tumor samples without matched normal controls. The advantage of this method
 is that it can be applied to smaller sequencing panels including evaluations
 of exon, transcript, gene, or even user specified genetic regions of
 interest. Functions in the package include steps for GC-content correction,
 calculation of quantile based normal karyotype ranges, and calculation of
 feature score.  Cutoffs for "normal" quantile and score are user-adjustable.

Package: r-cran-rcnv
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-colorspace, r-cran-r.utils, r-cran-qgraph, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rcnv_1.3.0-1.ca2004.1_all.deb
Size: 3248444
MD5sum: d696eb3c462f8279f6d90af3e19d6e20
SHA1: a1bf1aefe7649a15e35f1ece039154dec95050ce
SHA256: d8e39e7f5aa7c85003eb722bd3cb946f31c3785c0f21b44c120e549f5765d0ff
SHA512: fa84eebac730fb7d192530533889480c1a34bcbcffd6deaaae224f41eda12af1bed781ed5e6ec5ec6f74a36880439f8c5e90ee22dbe05efcfeee521c0f3bba61
Homepage: https://cran.r-project.org/package=rCNV
Description: CRAN Package 'rCNV' (Detect Copy Number Variants from SNPs Data)
 Functions in this package will import filtered variant call format (VCF)
 files of SNPs data and generate data sets to detect copy number variants,
 visualize them and do downstream analyses with copy number variants(e.g.
 Environmental association analyses).

Package: r-cran-rco
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 483
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-diffr, r-cran-ggplot2, r-cran-httr, r-cran-knitr, r-cran-markdown, r-cran-microbenchmark, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rvest, r-cran-shiny, r-cran-shinythemes, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rco_1.0.2-1.ca2004.1_all.deb
Size: 210592
MD5sum: 6a1bf7ca829f51d50988273e963b7273
SHA1: a4a1dcef1997b011b8c269726e65c6f7817bdf25
SHA256: 47438d5e14079197ec7f0d2344b033ba61d9b5710bc1775a8a0bc3caa2e7d1bc
SHA512: a628647aca6ef074a22fc052ee3d585582ac01f68718e5878a958733fb8672358c497a611b809d039e7b7c1a597e89783ed350657a7a425e53649908fd034533
Homepage: https://cran.r-project.org/package=rco
Description: CRAN Package 'rco' (The R Code Optimizer)
 Automatically apply different strategies to optimize R code.  'rco'
 functions take R code as input, and returns R code as output.

Package: r-cran-rcoder
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-glue, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-tidyfast, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rcoder_0.3.0-1.ca2004.1_all.deb
Size: 72480
MD5sum: e58c7463c02f434df510fe9ce3fbb617
SHA1: 3b771e8437258530bd857a3a4d66255e17ba81e4
SHA256: 5a6caeb48c04f1d3544615f5beb15c40eb15b9218d201aa4e4df5b8fdec3e7b0
SHA512: 703682be8164caf108577cf630f9452e733f1051ba35ff3f0bab7f8adf802b31d8e1cc9a8f2d7d153ee4ad1bb0eb5bbfc747ec7e14bcbf1c3cf7ec7c3b1134d1
Homepage: https://cran.r-project.org/package=rcoder
Description: CRAN Package 'rcoder' (Lightweight Data Structure for Recoding Categorical Data withoutFactors)
 A data structure and toolkit for documenting and recoding categorical data
 that can be shared in other statistical software.

Package: r-cran-rcognito
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-paws
Suggests: r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-rcognito_0.1.0-1.ca2004.1_all.deb
Size: 29728
MD5sum: 7b303179437be986b8d59b0b9b44effa
SHA1: 3deccbbcd3b563d60011b2246b3b2918c6e47fcd
SHA256: a3f4b886122c0e2e088d968136124b3757e208ab5be6613fc469fa5f844f19b1
SHA512: 7510015493d23d3ddc61bbb382679d19c5c174b2144e265572a57654b0a696dd525a5653eb61b1ea270291a32e6a34bda82457f2e1f8b161719468bc55323f18
Homepage: https://cran.r-project.org/package=RCognito
Description: CRAN Package 'RCognito' (A Simplified Interface for 'Amazon Cognito')
 Simplifies integration with 'Amazon Cognito'
 (<https://aws.amazon.com/cognito/>) for R developers, enabling easy
 management of user authentication, registration, and password flows.

Package: r-cran-rcoins
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-sf, r-cran-sfheaders
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-sfnetworks, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcoins_0.3.2-1.ca2004.1_all.deb
Size: 960468
MD5sum: db0e3ca7ec5d349c04bdfb6f14d89bcb
SHA1: 28328f7cf2f679b4752313b56e30aaf7893b913e
SHA256: 85fcd9535dc496c024d15a0b55eef84ab16dda29ca6c16efe9dbc81c3bf77f20
SHA512: ad0b13a558ba871f2dadccf4b65da7607a3ee6f5da364f15c48ee2bf9f065d9d50a1d497470cac099a34e795b3e3f7b6eee335c87c83340330d6370fa3831ac1
Homepage: https://cran.r-project.org/package=rcoins
Description: CRAN Package 'rcoins' (Identify Naturally Continuous Lines in a Spatial Network)
 Provides functionality to group lines that form naturally continuous lines
 in a spatial network. The algorithm implemented is based on the Continuity
 in Street Networks (COINS) method from Tripathy et al.  (2021)
 <doi:10.1177/2399808320967680>, which identifies continuous "strokes" in the
 network as the line strings that maximize the angles between consecutive
 segments.

Package: r-cran-rcoletum
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcoletum_0.2.2-1.ca2004.1_all.deb
Size: 40476
MD5sum: e0789e682cda35330d0de811da1ff1f0
SHA1: e8150b3aeaeee85ae1c78fb33be535b898cca792
SHA256: afc0cf9b7beb27215ea5c15c2a20cd116b5fe6427589e2753a2e82983c8ecc87
SHA512: 7444e6d2876c9d95dcac8d2c19e564ae0763355d2db31038d58df38bca47bea6196d78f0402420c424d79f6b3073c8be55d607e97207900010a8fc5714ac282d
Homepage: https://cran.r-project.org/package=RColetum
Description: CRAN Package 'RColetum' (Access your Coletum's Data from API)
 Get your data (forms, structures, answers) from Coletum
 <https://coletum.com> to handle and analyse.

Package: r-cran-rcollectadhd
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcollectadhd_0.8-1.ca2004.1_all.deb
Size: 51008
MD5sum: 622542604ef5ec61385656652e46cb96
SHA1: bf91bed96d6056b4359c8fc8d9dfaedda1205bfc
SHA256: 7ec10955c0d481d9acdac401dd32a458857da89c1b8e47b812c41b07e5a709f9
SHA512: d96ce77f131ff1328f8128129aa259bdb673954cff50339ca8850c5c7c4c3757e2bf42454ef1886c2639fe571267f1b7dad8d9672b957af21788f8d4e1e8a06a
Homepage: https://cran.r-project.org/package=rcollectadhd
Description: CRAN Package 'rcollectadhd' (Collection of Data Sets Containing ADHD Related Data)
 A collection of data sets relating to ADHD (Attention Deficit Hyperactivity
 Disorder) which have been sourced from other packages on CRAN or from
 publications on other websites such as Kaggle <http://www.kaggle.com/>.The
 package also includes some simple functions for analysing data sets. The
 data sets and descriptions of the data sets may differ from what is on CRAN
 or other source websites. The aim of this package is to bring together data
 sets from a variety of ADHD research publications. This package would be
 useful for those interested in finding out what research has been done on
 the topic of ADHD, or those interested in comparing the results from
 different existing works. I started this project because I wanted to put
 together a collection of the data sets relevant to ADHD research, which I
 have a personal interest in. This work was conducted with the support of my
 mentor within the Global Talent Mentoring platform.
 <https://globaltalentmentoring.org/>.

Package: r-cran-rcolombos
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rcolombos_2.0.2-1.ca2004.1_all.deb
Size: 58336
MD5sum: 4a950370e540e44e58d40388952b1053
SHA1: ac5f49cb665122006595ed4640229bd5e0262784
SHA256: 95ce9697cf06753f589cbc59230d643e9de3614aa346050d3b654732edabdf7e
SHA512: 857a1684a9bbf41d623858cd1a6bfca45c7208a35fb7d2d27a5e04030639a122c0f40e56b0ff90e0a5d98cf821cbdbd45333ad2bec81cde5c19ee267e25cd819
Homepage: https://cran.r-project.org/package=Rcolombos
Description: CRAN Package 'Rcolombos' (Interface to Colombos Compendia using the Exposed REST API)
 Provides programmatic access to Colombos, a web based interface for
 exploring and analyzing comprehensive organism-specific cross-platform
 expression compendia of bacterial organisms.

Package: r-cran-rcolorbrewer
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcolorbrewer_1.1-3-1.ca2004.1_all.deb
Size: 53608
MD5sum: 15d24e06359f3d2c4f201bb951c81117
SHA1: 2b9d513bd3a54db9db221886457d10e202fcbbc1
SHA256: 9d3d90cee3736921b42517c6b6103392a3f5dac906359a53d2cbee9d2752cc31
SHA512: ccbdd5c7c72de1a14741c7df47a29fd1b6ada62e9489ca27b12e3499dc555c988859cfc5377ac450703ace60f5ba647e6515ba182c8e7231813d77572b4c03d8
Homepage: https://cran.r-project.org/package=RColorBrewer
Description: CRAN Package 'RColorBrewer' (ColorBrewer Palettes)
 Provides color schemes for maps (and other graphics) designed by Cynthia
 Brewer as described at http://colorbrewer2.org.

Package: r-cran-rcolorconesa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcolorconesa_1.0.0-1.ca2004.1_all.deb
Size: 31760
MD5sum: 4f804d25eac373870abe68e4b2967dfa
SHA1: 0594006cedd364633bb9e26b6b9110469cb9d355
SHA256: 95eb5a1024b5de04ab834fe0fef9a20837501b61ba6473e68163834a031c2b41
SHA512: 9bab36d9ae87db82fcb7ace45d60fa79dd16748586b4db312784b51cda6da7a3f253771e25200a2ff700b578914549cbc99df817c1569728a19624d63cb5fa7b
Homepage: https://cran.r-project.org/package=RColorConesa
Description: CRAN Package 'RColorConesa' (Conesa Colors Palette)
 Provides a collection of palettes designed to integrate with 'ggplot',
 reflecting the color schemes associated with 'ConesaLab'.

Package: r-cran-rcolors
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2528
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rcolors_0.1.0-1.ca2004.1_all.deb
Size: 525052
MD5sum: 80178c616f291b574285da4404bd777a
SHA1: 7abfc4f86091ec0c98fea71a93caa7ad980c6286
SHA256: 6916c1df93aa38452adcb71fdcbae86873ede7738960a7ef9f1c949b8541d850
SHA512: 753bbf7de6d8466b1a8c597cadaf01cc675d88bb3a7e012479fdf7fc9da9e70e31713427cb666768cc7dbffdaa1e786a7720a809e20311329b463c04540ae1b7
Homepage: https://cran.r-project.org/package=rcolors
Description: CRAN Package 'rcolors' (270 'NCL' Color Tables in R Language)
 'NCL' (NCAR Command Language) is one of the most popular spatial data
 mapping tools in meteorology studies, due to its beautiful output figures
 with plenty of color palettes designed by experts
 <https://www.ncl.ucar.edu/index.shtml>.  Here we translate all 'NCL' color
 palettes into R hexadecimal RGB colors and provide color selection function,
 which will help users make a beautiful figure.

Package: r-cran-rcompadre
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1298
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-popdemo, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-maps, r-cran-rcrossref, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcompadre_1.4.0-1.ca2004.1_all.deb
Size: 860808
MD5sum: 26ebc0db28edb2a19e38a8bbecef9f88
SHA1: 3dc7b7f22427299622cc837a6eef1305b5844fd2
SHA256: 61fb20faeecbc1df9df042d74d19cf8d5839ce801494d5c64ea5343cf5b375a5
SHA512: 6c76800a99df9f82901f22809b28c6d5aeb7ed366b5c01d270e6795b146273963d7fc13fb952508e43baa6f7851c5a68112ccd28c4ada2a3f1bb7ceb350d479f
Homepage: https://cran.r-project.org/package=Rcompadre
Description: CRAN Package 'Rcompadre' (Utilities for using the 'COM(P)ADRE' Matrix Model Database)
 Utility functions for interacting with the 'COMPADRE' and 'COMADRE'
 databases of matrix population models. Described in Jones et al. (2021)
 <doi:10.1101/2021.04.26.441330>.

Package: r-cran-rcompanion
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-desctools, r-cran-multcompview, r-cran-plyr, r-cran-coin, r-cran-lmtest, r-cran-nortest
Filename: pool/dists/focal/main/r-cran-rcompanion_2.5.0-1.ca2004.1_all.deb
Size: 659144
MD5sum: 3a4f94b3d4b97518d2ab5aaeb6ef47c6
SHA1: 7babf7e0a68516df3723ad5bcb06cb2accd24187
SHA256: eb599cd3c989b42978659a483c008a58a9a8795e5ea03fd15e32df5561fb328f
SHA512: 3675100019eac637b1debc4050be7bea970f95e0fb1dcaf674781e5b8bd8e410daa2c2275704ee0a20a5dd18fd98326eb6ae493dc3b73c3c60b1cb5d10229a6a
Homepage: https://cran.r-project.org/package=rcompanion
Description: CRAN Package 'rcompanion' (Functions to Support Extension Education Program Evaluation)
 Functions and datasets to support Summary and Analysis of Extension Program
 Evaluation in R, and An R Companion for the Handbook of Biological
 Statistics.  Vignettes are available at <https://rcompanion.org>.

Package: r-cran-rcompendium
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cffr, r-cran-clisymbols, r-cran-crayon, r-cran-devtools, r-cran-gert, r-cran-gh, r-cran-gtools, r-cran-renv, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-stringr, r-cran-usethis, r-cran-xfun
Suggests: r-cran-fs, r-cran-knitr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rcompendium_1.3-1.ca2004.1_all.deb
Size: 839892
MD5sum: 3ae860325bd4a79fd8f767c27a6a6630
SHA1: f6437d32937ad093486d0bd86aef2bcad84c2e2d
SHA256: a629b51f85b4a583426e1c8e15e6a7d593c22138155a490df81d7f552521fb05
SHA512: 15cb42e4318bbce59046f88da86e0551c246e4671e774f97b76e3568b4da7a46b1488be72aa87ed9faebe2c0511d01c1316b551565d8bcd723602f72d7c49267
Homepage: https://cran.r-project.org/package=rcompendium
Description: CRAN Package 'rcompendium' (Create a Package or Research Compendium Structure)
 Makes easier the creation of R package or research compendium (i.e. a
 predefined files/folders structure) so that users can focus on the
 code/analysis instead of wasting time organizing files. A full ready-to-work
 structure is set up with some additional features: version control, remote
 repository creation, CI/CD configuration (check package integrity under
 several OS, test code with 'testthat', and build and deploy website using
 'pkgdown'). This package heavily relies on the R packages 'devtools' and
 'usethis' and follows recommendations made by Wickham H.  (2015)
 <ISBN:9781491910597> and Marwick B. et al. (2018)
 <doi:10.7287/peerj.preprints.3192v2>.

Package: r-cran-rconf
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rconf_0.1.2-1.ca2004.1_all.deb
Size: 24612
MD5sum: ca4391280806997e2bc710f7dd84a3f5
SHA1: 6724dbb7578ab1f42c787e29e08813f197e522f3
SHA256: e4d66fc188ff8e79820c7d66639f3f128671750c3c6c26090642d586974e4a4c
SHA512: aee86b02975f6e57989e87688e7b5eea135c92630b38049e0f5567668763862fb54b3541ce9981e6668ea03337c301159abdfb4762cd622fd1b55c985203fcff
Homepage: https://cran.r-project.org/package=rconf
Description: CRAN Package 'rconf' (Minimal and Lightweight Configuration Tool)
 Minimal and lightweight configuration tool that provides basic support for
 'YAML' configuration files without requiring additional package
 dependencies. It offers a simple method for loading and parsing
 configuration settings, making it ideal for quick prototypes and lightweight
 projects.

Package: r-cran-rconfig
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-yaml, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rconfig_0.3.0-1.ca2004.1_all.deb
Size: 70536
MD5sum: 306c569123983110faa1179c4aa83c80
SHA1: 99a64f98292d1b6882c4fb968500b375c32eb22e
SHA256: 4e95e920d11a0d85ee6870f912f37f3c03f8cc8422d914ae730f1d1a0ad08c37
SHA512: c9e1b45e4c5dae131b73a05986d7c15d411be85e8acc992786f51e6da782a890a37f8d2521c9e26cf2a3b93834437c7d5368496e531848b7024a994ac0b68b39
Homepage: https://cran.r-project.org/package=rconfig
Description: CRAN Package 'rconfig' (Manage R Configuration at the Command Line)
 Configuration management using files (YAML, JSON, INI, TXT), JSON strings,
 and command line arguments. Command line arguments can be used to override
 configuration. Period-separated command line flags are parsed as
 hierarchical lists. Environment variables, R global variables, and
 configuration values can be substituted.

Package: r-cran-rconics
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rconics_1.1.2-1.ca2004.1_all.deb
Size: 92672
MD5sum: 3c1afdd1a6d8260d40096dbfca65ac32
SHA1: da3751d4d4e0599b6a671e971b14257d8188dd34
SHA256: db536460740a12e191d3fa984c09f0c527d66058faa697b4e942144e448086b1
SHA512: 85f99b2f44f31443904961dc0424a89eda06dbdf0dcc1bae115ddba385deb71bd4b95c9aba644e24f76299dc3c12821e2c1d048e4c166ca602a77a41b4fdae40
Homepage: https://cran.r-project.org/package=RConics
Description: CRAN Package 'RConics' (Computations on Conics)
 Solve some conic related problems (intersection of conics with lines and
 conics, arc length of an ellipse, polar lines, etc.).

Package: r-cran-rcoreoa
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-pdftools, r-cran-hoardr
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rcrossref, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rcoreoa_0.4.0-1.ca2004.1_all.deb
Size: 85252
MD5sum: 0d934a8bd0d264979d0bf0865259761f
SHA1: cd3909a86a577dfce12ca5448ea4f708fd121228
SHA256: 9a0445074f2ff1cf1e7bcbda788218df0544ffcd5cab30a45a443a7896d93773
SHA512: 684a3357a7080beb466aa496c0451d7d1159317612565178017023989b0c3bab9018a539ee616a6b8926ddcde479269a661a1a5bf7517435ae2faab48c9eb315
Homepage: https://cran.r-project.org/package=rcoreoa
Description: CRAN Package 'rcoreoa' (Client for the CORE API)
 Client for the CORE API (<https://core.ac.uk/docs/>).  CORE
 (<https://core.ac.uk>) aggregates open access research outputs from
 repositories and journals worldwide and make them available to the public.

Package: r-cran-rcorpora
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7264
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rcorpora_2.0.1-1.ca2004.1_all.deb
Size: 1061948
MD5sum: e704bad2c8efeccf0dd65bc2a24c9d59
SHA1: 8851d92c9bfb9fdcf87ac72f70958f366155bd52
SHA256: b9eb9608f38e96d1a35bd61bd1b78adb0f64a9165f2a75f62b465421b507b9c6
SHA512: 866d5566921e6de258d065d47258e5151c97a9405aedf589281bfcacb1727dea71a792eed8733b4d594ed16c7f4dad6b2514679f665723183b0fe600e9724489
Homepage: https://cran.r-project.org/package=rcorpora
Description: CRAN Package 'rcorpora' (A Collection of Small Text Corpora of Interesting Data)
 A collection of small text corpora of interesting data.  It contains all
 data sets from 'dariusk/corpora'. Some examples: names of animals: birds,
 dinosaurs, dogs; foods: beer categories, pizza toppings; geography: English
 towns, rivers, oceans; humans: authors, US presidents, occupations; science:
 elements, planets; words: adjectives, verbs, proverbs, US president quotes.

Package: r-cran-rcpa3
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2627
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-beepr, r-cran-car, r-cran-descr, r-cran-haven, r-cran-hmisc, r-cran-knitr, r-cran-lmtest, r-cran-survey, r-cran-weights
Suggests: r-cran-hexbin, r-cran-rgl, r-cran-scatterplot3d, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-rcpa3_1.3.1-1.ca2004.1_all.deb
Size: 2594560
MD5sum: d74df090875ae2976de6ef90ad86e790
SHA1: c9a5fdb493138c3beb538f3412bb4a7d8de359d5
SHA256: 2712fdb6e775615298a149461ea7fe68f9d91c18634eba510da32e5f2038d478
SHA512: eaa101524bc2f06c0a4ebee393072be001414420233b818c502a26336510cece6073bc454f0c4c70c2e18513c357e2821e95c80fd9a23d5a06ccc0d929b73eed
Homepage: https://cran.r-project.org/package=RCPA3
Description: CRAN Package 'RCPA3' (Data and Functions for R Companion to Political Analysis 3rd Ed)
 Bundles the datasets and functions featured in Philip H.  Pollock and Barry
 C. Edwards<https://edge.sagepub.com/pollock>, "An R Companion to Political
 Analysis, 3rd Edition," Thousand Oaks, CA: Sage Publications.

Package: r-cran-rcpa
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3699
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-bioc-annotationdbi, r-bioc-summarizedexperiment, r-cran-biocmanager, r-bioc-biobase, r-bioc-deseq2, r-bioc-geoquery, r-bioc-edger, r-bioc-limma, r-cran-stringr, r-cran-ggnewscale, r-cran-ggrepel, r-bioc-graph, r-cran-httr, r-cran-rlang, r-cran-ggpattern, r-cran-scales, r-cran-robustrankaggreg, r-cran-jsonlite, r-cran-irdisplay
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-bioc-rontotools, r-bioc-fgsea, r-cran-gsa, r-cran-cepa, r-cran-meta, r-cran-png, r-cran-ggvenn, r-cran-rcurl, r-cran-xml, r-bioc-s4vectors, r-bioc-hgu133plus2.db, r-bioc-org.hs.eg.db, r-bioc-pd.hg.u133.plus.2, r-bioc-oligo
Filename: pool/dists/focal/main/r-cran-rcpa_0.2.6-1.ca2004.1_all.deb
Size: 2740620
MD5sum: 74438bada262faaacbb35cf13c42a8d1
SHA1: f6ee18408259c38913c8377d46fd8c427fbf5a59
SHA256: 404230fc02a6e2f5a3e6e911b07979898a9f172336a53cbf59705b5e4d1ce785
SHA512: 3065bf7f04d753618e579517bf8aa0dffced0d264f668af3506e48fe42d6c70231c72faf8f462aadea661b305ee6cfe5a061f31d77d95f8b276e94b034516dbd
Homepage: https://cran.r-project.org/package=RCPA
Description: CRAN Package 'RCPA' (Consensus Pathway Analysis)
 Provides a set of functions to perform pathway analysis and meta-analysis
 from multiple gene expression datasets, as well as visualization of the
 results. This package wraps functionality from the following packages:
 Ritchie et al. (2015) <doi:10.1093/nar/gkv007>, Love et al. (2014)
 <doi:10.1186/s13059-014-0550-8>, Robinson et al. (2010)
 <doi:10.1093/bioinformatics/btp616>, Korotkevich et al. (2016)
 <arxiv:10.1101/060012>, Efron et al. (2015)
 <https://CRAN.R-project.org/package=GSA>, and Gu et al. (2012)
 <https://CRAN.R-project.org/package=CePa>.

Package: r-cran-rcpp11
Architecture: all
Version: 3.1.2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcpp11_3.1.2.0.1-1.ca2004.1_all.deb
Size: 93236
MD5sum: 19f2014cbc4ad930dcdc59742a9a4c84
SHA1: 1e0055bf2d38a56e5e89f3d65af2099eb471fecc
SHA256: eaa1d95160e7a2be870e2c778ce2415a11777e1339e449d5a16e060128d7f782
SHA512: e4bc113ec79c40df8363ba47c6c93e538296ee05989aaa36ffd6d34fb570574db659a92913a6e23eeb09749557e64fabb7b17a451bee2ee4f9e654db60eb86c7
Homepage: https://cran.r-project.org/package=Rcpp11
Description: CRAN Package 'Rcpp11' (R and C++11)
 Rcpp11 includes a header only C++11 library that facilitates integration
 between R and modern C++.

Package: r-cran-rcppcgal
Architecture: all
Version: 6.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcpp, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcppcgal_6.0.1-1.ca2004.1_all.deb
Size: 5071128
MD5sum: f2f31f49bf5f7a9f13fbf22051c855fb
SHA1: 16bb86e8528c772e3826dc944a6788cb2d1125a9
SHA256: 6adac742bde84f0a2ec49d214d6cea6bf041c9cf0812b0611d4a2a06cb1db0a5
SHA512: 902b81ce75d46efc32c162ec9a74e1e4602cab7066d6dce7ec7bce84e68a31c3d4ae3400bb893039fcecf61b8f2c797cdde1ac23ae36f0732d489bb6416a161f
Homepage: https://cran.r-project.org/package=RcppCGAL
Description: CRAN Package 'RcppCGAL' ('Rcpp' Integration for 'CGAL')
 Creates a header only package to link to the 'CGAL' (Computational Geometry
 Algorithms Library) header files in 'Rcpp'. There are a variety of potential
 uses for the software such as Hilbert sorting, K-D Tree nearest neighbors,
 and convex hull algorithms. For more information about how to use the header
 files, see the 'CGAL' documentation at <https://www.cgal.org>. Currently
 downloads version 6.0.1 of the 'CGAL' header files.

Package: r-cran-rcppdate
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-rcppdate_0.0.6-1.ca2004.1_all.deb
Size: 58284
MD5sum: d3ce5369bb54eba64ad71bc63a2c58c8
SHA1: e7f54e99b1263239c618f883a8b36af63c9b719a
SHA256: 30a3d13fe4c73a28f77b5d29463c1325d158bb4fbfdd39ed32565a92375e8dff
SHA512: 1e2753aaf66872c8f776c019a42cfdc5ba41d9979fd390a53cd4cf146b530e18e40481ea5a49501e9335ed1b6f3e65586ed833223f1dfd470682c51f450523fc
Homepage: https://cran.r-project.org/package=RcppDate
Description: CRAN Package 'RcppDate' ('date' C++ Header Library for Date and Time Functionality)
 A header-only C++ library is provided with support for dates, time zones,
 ISO weeks, Julian dates, and Islamic dates.  'date' offers extensive date
 and time functionality for the C++11, C++14 and C++17 standards and was
 written by Howard Hinnant and released under the MIT license. A slightly
 modified version has been accepted (along with 'tz.h') as part of C++20.
 This package regroups all header files from the upstream repository by
 Howard Hinnant so that other R packages can use them in their C++ code. At
 present, few of the types have explicit 'Rcpp' wrappers though these may be
 added as needed.

Package: r-cran-rcppprogress
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rcpparmadillo, r-cran-devtools, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcppprogress_0.4.2-1.ca2004.1_all.deb
Size: 20372
MD5sum: cf9753c44164f380d9a4d6e218dd12ec
SHA1: a84de7dbf5c7f6813585f7622f424527205dc39a
SHA256: 2f6bb8d8df62b96f611769bdb9d7a917a3530e0bc60189b405c3749ae6f48aea
SHA512: 0cd18bc2dcde150ebb0b906447b10d399ea9fcb4ac1cc0834dbce8e9d36c498427d25876cb9dc5c4ef9b6c14b8e5c54baecc5edd2bea8e1753de47ca275260ec
Homepage: https://cran.r-project.org/package=RcppProgress
Description: CRAN Package 'RcppProgress' (An Interruptible Progress Bar with OpenMP Support for C++ in RPackages)
 Allows to display a progress bar in the R console for long running
 computations taking place in c++ code, and support for interrupting those
 computations even in multithreaded code, typically using OpenMP.

Package: r-cran-rcppxptrutils
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcpp
Suggests: r-cran-inline, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcppxptrutils_0.1.2-1.ca2004.1_all.deb
Size: 19432
MD5sum: 4f925a3df2963222ded5b31ef1b81e59
SHA1: 85ec5addc8453523f25eb496f93107b417cc25ed
SHA256: c2c5a3905143240fc868d97e72e9de60118e807cd989c44a36ec770307905293
SHA512: 0ce575c7dff971a8da72c5288d15cc23d2b78128fc9f0140fab0cd62b7427b25f4725f52a6be8510b9a27f8e900c10fb7ccdadebf469087cf2861726067249e1
Homepage: https://cran.r-project.org/package=RcppXPtrUtils
Description: CRAN Package 'RcppXPtrUtils' (XPtr Add-Ons for 'Rcpp')
 Provides the means to compile user-supplied C++ functions with 'Rcpp' and
 retrieve an 'XPtr' that can be passed to other C++ components.

Package: r-cran-rcprd
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 970
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-fastmatch, r-cran-rsqlite, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcprd_0.0.1-1.ca2004.1_all.deb
Size: 536468
MD5sum: 554acccd04fb13743ff4b2bdef278c41
SHA1: 5e6fd6c632c47d86bdc93dc70e0c684982c383f6
SHA256: 165e22b3f6193da76b31cf900fad760eccf8a325d346cc80fbd826b5d5d9fb76
SHA512: 29efafd922f4641f5427b2d47bc450d82f3106f4a3a4e421a68b2791fac841a753300b851947249cdfcbb4df4cc327edb6aafe98b1cb8c73e8130f0a42f3c961
Homepage: https://cran.r-project.org/package=rcprd
Description: CRAN Package 'rcprd' (Extraction and Management of Clinical Practice Research DatalinkData)
 Simplify the process of extracting and processing Clinical Practice Research
 Datalink (CPRD) data in order to build datasets ready for statistical
 analysis. This process is difficult in 'R', as the raw data is very large
 and cannot be read into the R workspace. 'rcprd' utilises 'RSQLite' to
 create 'SQLite' databases which are stored on the hard disk. These are then
 queried to extract the required information for a cohort of interest, and
 create datasets ready for statistical analysis. The processes follow closely
 that from the 'rEHR' package, see Springate et al., (2017)
 <doi:10.1371/journal.pone.0171784>.

Package: r-cran-rcrawler
Architecture: all
Version: 0.1.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-data.table, r-cran-foreach, r-cran-doparallel, r-cran-selectr, r-cran-webdriver, r-cran-callr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rcrawler_0.1.9-1-1.ca2004.1_all.deb
Size: 149560
MD5sum: 608f2898f16ff7f3a8f7dd1735d27305
SHA1: 12d82a9eed5cc3ddb590c775b7b010c2321c3c48
SHA256: 2d7e9f7d1f94e551688fe0d7e9939397baf2c6be8abad4d3aee0969ea72e903e
SHA512: b6d84b7d7c1fcc7c2c1299aa1570b35bf17ea27503c7cd52b4ff06c0db5b628994e5109075574ef86268b6ee78b6ab99427d99fecbda164087a330d4b52aea08
Homepage: https://cran.r-project.org/package=Rcrawler
Description: CRAN Package 'Rcrawler' (Web Crawler and Scraper)
 Performs parallel web crawling and web scraping. It is designed to crawl,
 parse and store web pages to produce data that can be directly used for
 analysis application. For details see Khalil and Fakir (2017)
 <DOI:10.1016/j.softx.2017.04.004>.

Package: r-cran-rcreliability
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcreliability_0.1.0-1.ca2004.1_all.deb
Size: 77452
MD5sum: b9f62d0340e0ad14ceeb94a423346c15
SHA1: 7875ad7dee72a29708314faff546f04390fbbeb8
SHA256: 829e094a11f1a0ff5662d8e982819b745c558264b9e12cf49d149b7a39040435
SHA512: 47502e16715e4d3a383ae6db354a9d3e08e9f3419a3d63385985bcc1ae375309c65ec9e53d9bf2a310bd1d4915fca4b5c209fc7b9405e8e31e76249d7b00606a
Homepage: https://cran.r-project.org/package=RCreliability
Description: CRAN Package 'RCreliability' (Correct Bias in Estimated Regression Coefficients)
 This function corrects the bias in estimated regression coefficients due to
 classical additive measurement error (i.e., within-person variation) in
 logistic regressions under the main study/external reliability study design
 and the main study/internal reliability study design. The output includes
 the naive and corrected estimators for the regression coefficients; for the
 variance estimates of the corrected estimators, the extra variation due to
 estimating the parameters in the measurement error model is ignored or taken
 into account. Reference: Carroll RJ, Ruppert D, Stefanski L, Crainiceanu CM
 (2006) <doi:10.1201/9781420010138>.

Package: r-cran-rcrimeanalysis
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2764
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-forecast, r-cran-ggmap, r-cran-htmltools, r-cran-igraph, r-cran-leaflet, r-cran-leafsync, r-cran-lubridate, r-cran-kernsmooth, r-cran-pals, r-cran-raster, r-cran-sp, r-cran-terra
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rcrimeanalysis_0.5.0-1.ca2004.1_all.deb
Size: 2032988
MD5sum: 098a31d2f0f6a50f707f3e6c7fbf3f68
SHA1: 0bac531f220daf4e8cc59569f18e39171d4b2a5c
SHA256: cec66fcbc46e93fa2b5b30df91bbfc3662661a90292149f1cd968c566fa7e3f2
SHA512: 78e959df941cb8af00284a6835bea93d8339aacd3abfdcd1da04704ea56d7eeda2d9f0174199381a0307456cdad0648938429c9917307afdfe6c309d49fccf10
Homepage: https://cran.r-project.org/package=rcrimeanalysis
Description: CRAN Package 'rcrimeanalysis' (An Implementation of Crime Analysis Methods)
 An implementation of functions for the analysis of crime incident or records
 management system data. The package implements analysis algorithms scaled
 for city or regional crime analysis units. The package provides functions
 for kernel density estimation for crime heat maps, geocoding using the
 'Google Maps' API, identification of repeat crime incidents, spatio-temporal
 map comparison across time intervals, time series analysis (forecasting and
 decomposition), detection of optimal parameters for the identification of
 near repeat incidents, and near repeat analysis with crime network linkage.

Package: r-cran-rcriteo
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-xml, r-cran-httr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-rcriteo_1.0.2-1.ca2004.1_all.deb
Size: 34800
MD5sum: 12fb1256475e394a3a9c38433bdb101a
SHA1: 20f34db17616749f61f92d7bdb3ed0ebf7a975fe
SHA256: 29df12913f741792a14ab062cd8f023eb45e0b85eae50834368e0bf2a4765865
SHA512: dd16228316fe699c93b084acd03f047b023f010c18db9cba1e71964eb8fa47224dbab115b1710f784dcf532b422060769247d3a0736f97bc6629d3564bde09f5
Homepage: https://cran.r-project.org/package=RCriteo
Description: CRAN Package 'RCriteo' (Loading Criteo Data into R)
 Aims at loading Criteo online advertising campaign data into R.  Criteo
 <http://www.criteo.com/> is an online advertising service that enables
 advertisers to display commercial ads to web users. The package provides an
 authentication process for R with the Criteo API <http://kb.criteo.com/
 advertising/content/5/27/en/api.html>. Moreover, the package features an
 interface to query campaign data from the Criteo API. The data can be
 downloaded and will be transformed into a R data frame.

Package: r-cran-rcriticor
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rcriticor_2.0-1.ca2004.1_all.deb
Size: 104436
MD5sum: ef5d496fdf772209bf7399576971c5df
SHA1: 721658a69d3d64d6d7fe8da8d5a5c90f980297e2
SHA256: 16dddd5268ca75a303f6c4ad3c71d30b462c00a6b49f8ab33a7386e4c215497b
SHA512: 18b34e7d330be2086327c59a668021b4bb98b289bc9b9cc0800bc271710b0931b7c54fd80eecd82918c9e2c4c7fa2395c88d275eeac525a1cd4ea26f2d67fdec
Homepage: https://cran.r-project.org/package=Rcriticor
Description: CRAN Package 'Rcriticor' (Pierre-Goldwin Correlogram)
 Goldwin-Pierre correlogram. Research of critical periods in the past.
 Integrates a time series in a given window.

Package: r-cran-rcrnorm
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-rcrnorm_0.0.2-1.ca2004.1_all.deb
Size: 42304
MD5sum: cf791146f0339c5d8add5d509df2a2dc
SHA1: 35e58aa013d81c108d6a2441790225ab1ecfddee
SHA256: 7e9aef93daf4a4ab85252905504d7152ed15b3020549ef57bc7f2d289536ab8f
SHA512: 2f536e9ebf31a12872a016a493a1319b5e74a9efb930ae9ff56e65bb1ef3cbad6023433fa6c391ded5769154a9d08689d3ea0d16be2ca0f1b3c7e0d98ddc7c7e
Homepage: https://cran.r-project.org/package=RCRnorm
Description: CRAN Package 'RCRnorm' (An Integrated Regression Model for Normalizing 'NanoStringnCounter' Data)
 'NanoString nCounter' is a medium-throughput platform that measures gene or
 microRNA expression levels. Here is a publication that introduces this
 platform: Malkov (2009) <doi:10.1186/1756-0500-2-80>. Here is the webpage of
 'NanoString nCounter' where you can find detailed information about this
 platform
 <https://www.nanostring.com/scientific-content/technology-overview/ncounter-technology>.
 It has great clinical application, such as diagnosis and prognosis of
 cancer. Implements integrated system of random-coefficient hierarchical
 regression model to normalize data from 'NanoString nCounter' platform so
 that noise from various sources can be removed.

Package: r-cran-rcrossref
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-crul, r-cran-xml2, r-cran-plyr, r-cran-dplyr, r-cran-tibble, r-cran-r6, r-cran-shiny, r-cran-miniui, r-cran-stringr, r-cran-dt
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vcr, r-cran-bibtex, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rcrossref_1.2.0-1.ca2004.1_all.deb
Size: 420368
MD5sum: 29c80a5cf7b79283e9a55f56c0e10cf9
SHA1: 72bdad57c9702714545449ccb4fa3ece174d5871
SHA256: 58c6d26dc7d2741948670bc9782286787387df99c86cc00916e80cefa5b36f9d
SHA512: 5931cea8b5e3b74c835baf44dbd4f831269adcc901bb14700a24c9dcdc327ad77c34c3c70f209f972b8bc762f511fe387f395cba7e0d5d32f346684b972cb130
Homepage: https://cran.r-project.org/package=rcrossref
Description: CRAN Package 'rcrossref' (Client for Various 'CrossRef' 'APIs')
 Client for various 'CrossRef' 'APIs', including 'metadata' search with their
 old and newer search 'APIs', get 'citations' in various formats (including
 'bibtex', 'citeproc-json', 'rdf-xml', etc.), convert 'DOIs' to 'PMIDs', and
 'vice versa', get citations for 'DOIs', and get links to full text of
 articles when available.

Package: r-cran-rcrypt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcrypt_0.1.1-1.ca2004.1_all.deb
Size: 20336
MD5sum: 82ab0c7702e1e3a16cd4b039b04d70a8
SHA1: eaa906ee1423b5ca4e203d21bd4c89b5cebfc82e
SHA256: fb2d9432b080a4a9944b88c9bcba389d2b5733c67a62961e7759855f7fcb735b
SHA512: 01d9a2fe4089f281abe3452fe0b2bbca55d535429fdf23ff28554806b7f699c94433ded517657aea861375c7777cfb836722ced458518a552585f1bd18db480f
Homepage: https://cran.r-project.org/package=rcrypt
Description: CRAN Package 'rcrypt' (Symmetric File Encryption Using GPG)
 Provides easy symmetric file encryption using GPG with cryptographically
 strong defaults. Only symmetric encryption is supported. GPG is
 pre-installed with most Linux distributions.  Windows users will need to
 install 'Gpg4win' (http://www.gpg4win.org/).  OS X users will need to
 install 'GPGTools' (https://gpgtools.org/).

Package: r-cran-rcssci
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pacman, r-cran-rms, r-cran-ggplot2, r-cran-survminer, r-cran-segmented, r-cran-survival, r-cran-dplyr, r-cran-patchwork, r-cran-cairo
Filename: pool/dists/focal/main/r-cran-rcssci_0.4.0-1.ca2004.1_all.deb
Size: 229356
MD5sum: a32ac75cbbbae9b8213d58fc9e46e463
SHA1: d3548e5e5e65d705e9223acf0dbbe22a9e777e81
SHA256: d53939d53fd17fbfca934bfbf6733daaa59c6a2c7e52d5f29c9af86a07fc2e69
SHA512: 9628ece98f005c695f176af293aefcd1381ac6653146657ce25838eb5db5ccfee8258a323291c9ebb2ff60110e82e9f49390d420e366ea469e175410cce4b587
Homepage: https://cran.r-project.org/package=rcssci
Description: CRAN Package 'rcssci' (Visualization of Restricted Cubic Splines)
 Restricted Cubic Splines were performed to explore the shape of association
 form of "U, inverted U, L" shape and test linearity or non-linearity base on
 "Cox,Logistic,linear,quasipoisson" regression, and auto output Restricted
 Cubic Splines figures.  rcssci package could automatically draw RCS graphics
 with Y-axis "OR,HR,RR,beta".  The Restricted Cubic Splines method were based
 on Suli Huang (2022) <doi:10.1016/j.ecoenv.2022.113183>,Amit Kaura (2019)
 <doi:10.1136/bmj.l6055>, and Harrell Jr (2015, ISBN:978-3-319-19424-0
 (Print) 978-3-319-19425-7 (Online)).

Package: r-cran-rcssplot
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rcssplot_1.1.0-1.ca2004.1_all.deb
Size: 325112
MD5sum: 68289ebbe78d961bf78a2ea483f999cc
SHA1: 41c759a4435b3f7349a4bcdf836415171e996f1d
SHA256: 5637e1dab232c583261725651b6fe7330dc2edfd449472676094ca36d7197536
SHA512: c6c1137ecefe2b17e290586cea7ac5a90fa2086e5ca8c285c768617745b893a053908c1be10286197fe0405f7bbe93b16a35706e0b82b25850b295cd6b20fd5c
Homepage: https://cran.r-project.org/package=Rcssplot
Description: CRAN Package 'Rcssplot' (Styling of Graphics using Cascading Style Sheets)
 Provides a means to style plots through cascading style sheets.  This
 separates the aesthetics from the data crunching in plots and charts.

Package: r-cran-rct2
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sandwich, r-cran-aer, r-cran-quadprog
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rct2_0.0.1-1.ca2004.1_all.deb
Size: 272448
MD5sum: c30a24061fe3b8ed00f60dc27d781fe5
SHA1: 6105eb281e31c85cdd3581fee9c2f45b2f221576
SHA256: a5aeabb52acdbeb9a9a2a32ad440531a84ffd55c694bf58bdbe24af806ec41bd
SHA512: 34c0eb1eb463de876708565d9289d44706e727d7aff5e682c043e444d4c8be18d47d1c06ea14475ba11e1df736c43cffa14adce7d25e1015abf907802f23cbde
Homepage: https://cran.r-project.org/package=RCT2
Description: CRAN Package 'RCT2' (Designing and Analyzing Two-Stage Randomized Experiments)
 Provides various statistical methods for designing and analyzing two-stage
 randomized controlled trials using the methods developed by Imai, Jiang, and
 Malani (2021) <doi:10.1080/01621459.2020.1775612> and (2022+)
 <doi:10.48550/arXiv.2011.07677>.  The package enables the estimation of
 direct and spillover effects, conduct hypotheses tests, and conduct sample
 size calculation for two-stage randomized controlled trials.

Package: r-cran-rct3
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rct3_1.0.4-1.ca2004.1_all.deb
Size: 33240
MD5sum: 068187ad6e6149b31ba326b0563497b8
SHA1: 1ad55f65036c957ab7d2037b33ac22a62a81d69c
SHA256: 991ec5085b314808a07e3b46c96aa7afdf9abc08e6e49d0e48253d8de4abf646
SHA512: 7d92b57f7a3acd6589ee62d01af228aca9a2a0a82ead5d8c8af399a35ebab85b72a5a3661c817b2bab2a40cb7a240c3710306b7e6d04cc02599e3c36c184d132
Homepage: https://cran.r-project.org/package=rct3
Description: CRAN Package 'rct3' (Predict Fish Year-Class Strength from Survey Data)
 Predict fish year-class strength by calibration regression analysis of
 multiple recruitment index series.

Package: r-cran-rct
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-glue, r-cran-rlang, r-cran-tidyr, r-cran-stringr, r-cran-mass, r-cran-pracma, r-cran-estimatr, r-cran-broom, r-cran-forcats, r-cran-magrittr, r-cran-ggplot2, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rct_1.2-1.ca2004.1_all.deb
Size: 67632
MD5sum: ae0d62c2fc05719d077cd25c932186d5
SHA1: 5cf999aebbd821b9e90ddda0c4a49f05bc429663
SHA256: b7022eeaa705edfa08aae662fff7b502d96ddee6e6fa6363fbd093585b44a3fe
SHA512: cb6ce17b51adc6ab17fa6bc7302d47a1bb2c419f4abffb2dc09b00f5746b9c73b91039c18a50598bf782bf8e04a3b7de5ff07dda680286db2df3c5d50d746e36
Homepage: https://cran.r-project.org/package=RCT
Description: CRAN Package 'RCT' (Assign Treatments, Power Calculations, Balances, ImpactEvaluation of Experiments)
 Assists in the whole process of designing and evaluating Randomized Control
 Trials.  Robust treatment assignment by strata/blocks, that handles misfits;
 Power calculations of the minimum detectable treatment effect or minimum
 populations; Balance tables of T-test of covariates; Balance Regression:
 (treatment ~ all x variables) with F-test of null model; Impact_evaluation:
 Impact evaluation regressions. This function gives you the option to include
 control_vars, fixed effect variables, cluster variables (for robust SE),
 multiple endogenous variables and multiple heterogeneous variables (to test
 treatment effect heterogeneity) summary_statistics: Function that creates a
 summary statistics table with statistics rank observations in n groups:
 Creates a factor variable with n groups. Each group has a min and max label
 attach to each category.  Athey, Susan, and Guido W. Imbens (2017)
 <arXiv:1607.00698>.

Package: r-cran-rctrep
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2937
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-matchit, r-cran-ggplot2, r-cran-ggpubr, r-cran-psweight, r-cran-numderiv, r-cran-r6, r-cran-dplyr, r-cran-geex, r-cran-bart, r-cran-fastdummies, r-cran-tidyr, r-cran-copula, r-cran-shiny, r-cran-shinydashboard, r-cran-glue, r-cran-caret
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rctrep_1.2.0-1.ca2004.1_all.deb
Size: 2017268
MD5sum: 03127828d33ad3d61e7ff8b43c2050aa
SHA1: 03d864ac0ae27699574fc53a1cd16127b4ed84cd
SHA256: 831be6b907f9ea01f118bf52d5694611e60654f417d29d3e2761fb3d851dfedd
SHA512: e919c3eca056ea6104da4737a777b29eb9b764800abac4cc1751782bb605b2c070f06f14b87d6efdc141835cea7a2966b90b3415ceded5450def9afdfa2945b7
Homepage: https://cran.r-project.org/package=RCTrep
Description: CRAN Package 'RCTrep' (Validation of Estimates of Treatment Effects in ObservationalData)
 Validates estimates of (conditional) average treatment effects obtained
 using observational data by a) making it easy to obtain and visualize
 estimates derived using a large variety of methods (G-computation, inverse
 propensity score weighting, etc.), and b) ensuring that estimates are easily
 compared to a gold standard (i.e., estimates derived from randomized
 controlled trials). 'RCTrep' offers a generic protocol for treatment effect
 validation based on four simple steps, namely, set-selection, estimation,
 diagnosis, and validation. 'RCTrep' provides a simple dashboard to review
 the obtained results. The validation approach is introduced by Shen, L.,
 Geleijnse, G. and Kaptein, M. (2023) <doi:10.21203/rs.3.rs-2559287/v2>.

Package: r-cran-rcts
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2, r-cran-ncvreg, r-cran-robustbase, r-cran-cellwise, r-cran-rlang, r-cran-rdpack
Suggests: r-cran-tsqn, r-cran-doparallel, r-cran-dosnow, r-cran-foreach, r-cran-mclust, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rcts_0.2.4-1.ca2004.1_all.deb
Size: 696716
MD5sum: bd319825aa0c493ed8271ae886154732
SHA1: b5448a96976ed05e633acf388448aca359038d6c
SHA256: 94c15d8c21b4127cf2b3209514950d50e3cd426c3b0f37d8646a15b48cef321a
SHA512: 0d414c0bfa272f9d4abe5b514169b79f82b612225379dd24f01ac85a012ed6a3f77c16f94bd2d8284baad11053d4a2bec6c8a7fe9c82745f77d3930fd7f44ffe
Homepage: https://cran.r-project.org/package=RCTS
Description: CRAN Package 'RCTS' (Clustering Time Series While Resisting Outliers)
 Robust Clustering of Time Series (RCTS) has the functionality to cluster
 time series using both the classical and the robust interactive fixed
 effects framework.  The classical framework is developed in Ando & Bai
 (2017) <doi:10.1080/01621459.2016.1195743>. The implementation within this
 package excludes the SCAD-penalty on the estimations of beta.  This robust
 framework is developed in Boudt & Heyndels (2022)
 <doi:10.1016/j.ecosta.2022.01.002> and is made robust against different
 kinds of outliers.  The algorithm iteratively updates beta (the coefficients
 of the observable variables), group membership, and the latent factors
 (which can be common and/or group-specific) along with their loadings. The
 number of groups and factors can be estimated if they are unknown.

Package: r-cran-rcube
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rcube_0.5-1.ca2004.1_all.deb
Size: 65632
MD5sum: 0f9b59ffb49cc452f576eaa31c91b44b
SHA1: 4a9e05c27b947a2de95c6a7a616c9ed3c736fac8
SHA256: 166499d9c726576be6e4c4a65fde0527027bc7ab889dd9cc33282dea11cf0b81
SHA512: dc723d2c111e6e485efd954510ee4c7dd88590c9b893170e82af5f42bac9f0b068f57d914d43ef774db3dcc7cd4a593d3d1ebfdb610de5b29eba5961624dc2d6
Homepage: https://cran.r-project.org/package=rcube
Description: CRAN Package 'rcube' (Simulations and Visualizations of Rubik's Cube (with Mods))
 Provides simplified methods for managing classic Rubik's cubes and many
 other modifications of it (such as NxNxN size cubes, void cubes and
 8-coloured cubes - so called octa cubes). Includes functions of handling
 special syntax for managing such cubes; and different approach to plotting
 3D cubes without using external libraries (for example 'OpenGL').

Package: r-cran-rcurvep
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4479
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-tidyselect, r-cran-boot, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-ggplot2, r-cran-rdpack, r-cran-rjava, r-cran-furrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tcpl, r-cran-future
Filename: pool/dists/focal/main/r-cran-rcurvep_1.3.2-1.ca2004.1_all.deb
Size: 3894492
MD5sum: e62cd5e1360beff95a53b300258e027b
SHA1: 130bd903c50d274e0a9b100e59faa801154f1a49
SHA256: 0d9a68cc2221c196abdf6aca18fac8d9127ec390c919178613c6504c72c6fe3a
SHA512: 351a2e21fc1a703a62728dc9be5ac9e5c1b6c0fde04ef7895e7709632ad15ec467d84265bd113af80ae733f47cf3fe84466807c76f97729b06887fc5a06f2678
Homepage: https://cran.r-project.org/package=Rcurvep
Description: CRAN Package 'Rcurvep' (Concentration-Response Data Analysis using Curvep)
 An R interface for processing concentration-response datasets using Curvep,
 a response noise filtering algorithm. The algorithm was described in the
 publications (Sedykh A et al. (2011) <doi:10.1289/ehp.1002476> and Sedykh A
 (2016) <doi:10.1007/978-1-4939-6346-1_14>). Other parametric fitting
 approaches (e.g., Hill equation) are also adopted for ease of comparison.
 3-parameter Hill equation from 'tcpl' package (Filer D et al.,
 <doi:10.1093/bioinformatics/btw680>) and 4-parameter Hill equation from
 Curve Class2 approach (Wang Y et al., <doi:10.2174/1875397301004010057>) are
 available. Also, methods for calculating the confidence interval around the
 activity metrics are also provided. The methods are based on the bootstrap
 approach to simulate the datasets (Hsieh J-H et al.
 <doi:10.1093/toxsci/kfy258>). The simulated datasets can be used to derive
 the baseline noise threshold in an assay endpoint. This threshold is
 critical in the toxicological studies to derive the point-of-departure
 (POD).

Package: r-cran-rcytogps
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2482
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjson
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mercator
Filename: pool/dists/focal/main/r-cran-rcytogps_1.2.9-1.ca2004.1_all.deb
Size: 705096
MD5sum: 8ddc3a35c312eae991df397a39fd77fb
SHA1: 16901263e67197430ecb78fdb2a1853a3c80bc13
SHA256: 4f583607a2a5d28dac86cb65376e34f7c7c6228233905fbe2326e14c0fa343be
SHA512: 750a33d802d268c498ffbf70244c483ffef6e860e8dcb99d13bca483e3a5898016c8d97f4a1cf31ed34f22b7cb7b8a866e84e371634a881d7e353bb51fff206a
Homepage: https://cran.r-project.org/package=RCytoGPS
Description: CRAN Package 'RCytoGPS' (Using Cytogenetics Data in R)
 Defines classes and methods to process text-based cytogenetics using the
 CytoGPS web site, then import the results into R for further analysis and
 graphing.

Package: r-cran-rczechia
Architecture: all
Version: 1.12.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-terra, r-cran-units, r-cran-ggplot2, r-cran-tidyterra, r-cran-knitr, r-cran-testthat, r-cran-roxygen2, r-cran-rmarkdown, r-cran-dplyr, r-cran-lwgeom, r-cran-s2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rczechia_1.12.6-1.ca2004.1_all.deb
Size: 1843052
MD5sum: 2bce2dbe8ae85226fa58b4929c5df332
SHA1: 36c6023b9031ba6c0452ecc25d6db256beda8359
SHA256: 9ab1e3cf91bb08e9ca07128b2b47d00040e6fdaf4311c27bb0a810f338617f9c
SHA512: 1b905235769e57af402a4300cee9ea760ee34ab71c84c0af79679e97e5f82db8767815036f0ec3a26b11a1552c45c9f6ac931ae317d0be00288cadda5cfacef1
Homepage: https://cran.r-project.org/package=RCzechia
Description: CRAN Package 'RCzechia' (Spatial Objects of the Czech Republic)
 Administrative regions and other spatial objects of the Czech Republic.

Package: r-cran-rd2d
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-expm, r-cran-ggplot2, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rd2d_0.0.2-1.ca2004.1_all.deb
Size: 258404
MD5sum: 2b229dcd1fde8e092c823c7789a02418
SHA1: 7acb647372c9345b125448be9d70cde4aae5e7ee
SHA256: 9e341318a2f36e6b4b0ee5ba7387498e17aa065b4cbc3c5caf27d55339f25bff
SHA512: 7fa70bf2d43302f55bfe74ca811540a93282430808d9fd05e33efb6c7ae5823a9c7a80bca91628572019ec6d206d476987e9355e16cac3a500f7e846f96e48e8
Homepage: https://cran.r-project.org/package=rd2d
Description: CRAN Package 'rd2d' (Boundary Regression Discontinuity Designs)
 Provides estimation and inference procedures for boundary regression
 discontinuity (RD) designs using local polynomial methods, based on either
 bivariate coordinates or distance-based approaches.  Methods are developed
 in Cattaneo, Titiunik, and Yu (2025)
 <https://mdcattaneo.github.io/papers/Cattaneo-Titiunik-Yu_2025_BoundaryRD.pdf>.

Package: r-cran-rd2md
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rd2md_1.0.1-1.ca2004.1_all.deb
Size: 265460
MD5sum: be17400d2bd7e0641e8d0bf77812f09b
SHA1: c464d2e2f557d3c991ace4151fe2b0263966b40c
SHA256: 69ac782597981f08727705dbbca7eea6dbf6e323ca1c4dd060922011ac1f2c6b
SHA512: 36dccd366ff456b52e126b747921c06d6dcb101fb0dc53401bfb47914e5a2581919469f54e9425a06aa769192ea1e6dce6a87414a59dd0bf6dd0f0eaa6868c09
Homepage: https://cran.r-project.org/package=Rd2md
Description: CRAN Package 'Rd2md' (Markdown Reference Manuals)
 Native R only allows PDF exports of reference manuals.  The 'Rd2md' package
 converts the package documentation files into markdown files and combines
 them into a markdown version of the package reference manual.

Package: r-cran-rd2roxygen
Architecture: all
Version: 1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-roxygen2, r-cran-xfun, r-cran-formatr
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rd2roxygen_1.16-1.ca2004.1_all.deb
Size: 62504
MD5sum: a944e81633740a609ce0d7e138201591
SHA1: 9afdb11b9b48af4a936a22f495c46660589764cd
SHA256: ec9e635fd03cb529e009f299f701d3d29f13698cc81c530a1dab65ccb7434a92
SHA512: 61396433da595a346e7d966392921b4bd5238212afe4bb234ead82c73f47a7cd72f154078df0b57a65146ed459fef0e26daa05ab74dcad8c0a710822be14280c
Homepage: https://cran.r-project.org/package=Rd2roxygen
Description: CRAN Package 'Rd2roxygen' (Convert Rd to 'Roxygen' Documentation)
 Functions to convert Rd to 'roxygen' documentation. It can parse an Rd file
 to a list, create the 'roxygen' documentation and update the original R
 script (e.g. the one containing the definition of the function) accordingly.
 This package also provides utilities that can help developers build packages
 using 'roxygen' more easily. The 'formatR' package can be used to reformat
 the R code in the examples sections so that the code will be more readable.

Package: r-cran-rd3plot
Architecture: all
Version: 1.1.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-shiny, r-cran-evolmap
Filename: pool/dists/focal/main/r-cran-rd3plot_1.1.26-1.ca2004.1_all.deb
Size: 894216
MD5sum: eb9712fca72f879a3120da0d5abf8d15
SHA1: 45f279a08c7e3ee32430df1256233ef855862e4b
SHA256: a85b776573f04f76b5554d025febce89b198ee68fc1f625cc0cd7a55bbeb7461
SHA512: 9dc3d26b2cf538223c7ecf99f55eb7e235c3a4a05ee659d43114b3b10336cb6cfc03f5c917a1ca4671aa6e8b922b1b82976c8d1efc798ecf98b9e714d1ae2897
Homepage: https://cran.r-project.org/package=rD3plot
Description: CRAN Package 'rD3plot' (Interactive Networks, Timelines, Barplots, Galleries with'D3.js')
 Creates interactive analytic graphs with 'R'. It joins the data analysis
 power of R and the visualization libraries of JavaScript in one package. The
 package provides interactive networks, timelines, barplots, image galleries
 and evolving networks. Graphs are represented as 'D3.js' graphs embedded in
 a web page ready for its interactive analysis and exploration.

Package: r-cran-rda
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1723
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-rda_1.2-1-1.ca2004.1_all.deb
Size: 1729776
MD5sum: 4815895fab343af1a22f7a8853bcceb8
SHA1: 2e050d7f3072cc252fca5e3f3ad140a28fbad650
SHA256: f19d355eb8f7491bd572baaa72d73ffde2122e2b829555fdade41e88167958d9
SHA512: 413eb5bf50f456cd0ea1a5c173397999d5ff22c6495b03bd69bccf3097dcf1a52a144411049312bc5086beea9801c46219d3ba67b272ac9f4483637e10566106
Homepage: https://cran.r-project.org/package=rda
Description: CRAN Package 'rda' (Shrunken Centroids Regularized Discriminant Analysis)
 Provides functions implementing the shrunken centroids regularized
 discriminant analysis for classification purpose in high dimensional data.
 The method is described in Guo at al. (2013)
 <doi:10.1093/biostatistics/kxj035>.

Package: r-cran-rdacca.hp
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rdacca.hp_1.1-1-1.ca2004.1_all.deb
Size: 52208
MD5sum: 34da22d4aa9a2c1bd0fdcce196fdafbb
SHA1: 32c3aa8842469751facd73a64cd08ff0c29fb498
SHA256: a09bd8d22cc7d11491ce82432aa824c3bd5a5c6b1fb44b6353a9d4ce93835584
SHA512: 8bcc8c599cfa903f40c99176d53cb22f71418d2295ed67fe58f6194a4dcd026b27761a03d9f2a2d7759053a42cee402b9a78585408ac7d2cf5586e606da06dc5
Homepage: https://cran.r-project.org/package=rdacca.hp
Description: CRAN Package 'rdacca.hp' (Hierarchical and Variation Partitioning for Canonical Analysis)
 This function conducts variation partitioning and hierarchical partitioning
 to calculate the unique, shared (referred as to "common") and individual
 contributions of each predictor (or matrix) towards explained variation
 (R-square and adjusted R-square) on canonical analysis (RDA,CCA and db-RDA),
 applying the algorithm of Lai J.,Zou Y., Zhang J.,Peres-Neto P.(2022)
 Generalizing hierarchical and variation partitioning in multiple regression
 and canonical analyses using the rdacca.hp R package.Methods in Ecology and
 Evolution,13: 782-788 <DOI:10.1111/2041-210X.13800>.

Package: r-cran-rdaisi
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reticulate, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rdaisi_0.1.3-1.ca2004.1_all.deb
Size: 22144
MD5sum: 55ef76e365288ccf5cd3d003130c5187
SHA1: 3deee3305aa705906363a8f62bba2bb6b144025d
SHA256: 80f004cd4390872308ed9cce1b7387e91fb282985a7455e7537bd9c545ac5913
SHA512: 8a5c4a5d7d91ba3066b857042a703ba25501af8ff9deec93d049ed9df1d6d671cfb48608518947e01b982b7e0b48ecb56e873d9ab2a4971d22e85a35f4ab9281
Homepage: https://cran.r-project.org/package=rdaisi
Description: CRAN Package 'rdaisi' (R Client for the Daisi Microservice Platform)
 Connect, execute, and parse results from the Daisi Microservice Platform
 <https://www.daisi.io/>. The rdaisi client includes a set of functionality
 that allows remote execution of microservices directly from R.  Daisis allow
 R users to access a wide variety of Python functionality and interact with
 them natively.

Package: r-cran-rdatacanvas
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdatacanvas_0.1-1.ca2004.1_all.deb
Size: 14396
MD5sum: 610f16980a8c9ad727358b896148379e
SHA1: c055abcecd4d1cd7064306abf9035f178b7c94bd
SHA256: f591528c57045273a3ff16d568fd1ae7856d7961ac7a2247059387c527e7cbf8
SHA512: a135a3cc75ce57cd55e5d37a2173ccec6515f3fa8ce5ed84b2239edc3b18d55d93ee7781d465b27373351e4952cc8ae02da8094ed6ac96c84f7c714a66b94ad2
Homepage: https://cran.r-project.org/package=RDataCanvas
Description: CRAN Package 'RDataCanvas' (Basic Runtime Support for Datacanvas.io)
 Provides basic functionalities for writing a module for
 http://datacanvas.io. The http://datacanvas.io is a big data analytics
 platform that helps data scientists to build, manage and share data
 pipelines.

Package: r-cran-rdatacite
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rdatacite_0.5.4-1.ca2004.1_all.deb
Size: 60524
MD5sum: 5b84a5c437ff84c87a8081d72e433b80
SHA1: 721d7b91797229ee75c57ab1d07ef800824e2211
SHA256: be2c22f9b6bc1720aa2fc2785b4edbac71fff32672da22cec0cfadfdfab9161e
SHA512: 4dd860ba631fff2092710f601a9f8b9e7a70d65a86dd040b3cb804542b46259c93f09d058d0c4f06c1764c7e115f868b94c55554d892c51bcfe626f5ec4a93b3
Homepage: https://cran.r-project.org/package=rdatacite
Description: CRAN Package 'rdatacite' (Client for the 'DataCite' API)
 Client for the web service methods provided by 'DataCite'
 (<https://www.datacite.org/>), including functions to interface with their
 'RESTful' search API. The API is backed by 'Elasticsearch', allowing
 expressive queries, including faceting.

Package: r-cran-rdatapipeline
Architecture: all
Version: 0.60.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-configr, r-cran-dplyr, r-cran-git2r, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-r6, r-bioc-rhdf5, r-cran-semver, r-cran-usethis, r-cran-yaml
Suggests: r-cran-units, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdatapipeline_0.60.0-1.ca2004.1_all.deb
Size: 381716
MD5sum: 8e96f897e543610c87023a7c51f2fefc
SHA1: 0ed418ef18f3acf2f9747992d705fd688423bdd5
SHA256: 532d02c419509a30aa339f13cb05b6099077f6fddea8f7d35d15e09be7b4ebfa
SHA512: 36f3948364a5a8d6b3c06dd19da53c8330565f0f9bcdbad8b3e1e31047831e99328342c396506b1a495906449e9faf2c18729b452b1701d6eed4f1196c67dd5b
Homepage: https://cran.r-project.org/package=rDataPipeline
Description: CRAN Package 'rDataPipeline' (Functions to Interact with the 'FAIR Data Pipeline')
 R implementation of the 'FAIR Data Pipeline API'. The 'FAIR Data Pipeline'
 is intended to enable tracking of provenance of FAIR (findable, accessible
 and interoperable) data used in epidemiological modelling.

Package: r-cran-rdataretriever
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-semver
Suggests: r-cran-testthat, r-cran-dbi, r-cran-devtools, r-cran-rsqlite, r-cran-rpostgresql, r-cran-knitr, r-cran-rmarkdown, r-cran-dbplyr, r-cran-raster, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rdataretriever_3.1.1-1.ca2004.1_all.deb
Size: 92260
MD5sum: 8e58a2848c84674f7adde2019c70f1b1
SHA1: 277022a8c10445236b4310c41a10af2416fdd126
SHA256: e39ebaa90ead12f0d34d9988bdb73d398c2284930a812fee953d82d0ea7a4f8a
SHA512: 3fb1df349cb285dbbc8b771f84b0a64e92e2a836cde22ac691e3d7445339d2e7550ac0f59066c8be72b58a02426ec29e5c5fc4fb3db844d3c9b3cbc5f1fb72ae
Homepage: https://cran.r-project.org/package=rdataretriever
Description: CRAN Package 'rdataretriever' (R Interface to the Data Retriever)
 Provides an R interface to the Data Retriever
 <https://retriever.readthedocs.io/en/latest/> via the Data Retriever's
 command line interface. The Data Retriever automates the tasks of finding,
 downloading, and cleaning public datasets, and then stores them in a local
 database.

Package: r-cran-rdatasets
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-nanoparquet, r-cran-tinytable, r-cran-tinytest, r-cran-rstudioapi, r-cran-tibble, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-rdatasets_0.0.1-1.ca2004.1_all.deb
Size: 39240
MD5sum: cc7ac04c999865b8f9f45f77690b2680
SHA1: fcc852d65ec3f26a8aab846ca916da5e498c215f
SHA256: c5d4d3ccb8446180c0dbe800c7e843e300687ddfe76ac66d6ef1c530571d0f3e
SHA512: 0aac7cf453ebc99fddac071a07fca037b74c7ce1c21436bcce2a51d60a9ae5fda531b7ceb44060c5e2458867875941932383e2174057ecaaf2c9c9b1c2152292
Homepage: https://cran.r-project.org/package=Rdatasets
Description: CRAN Package 'Rdatasets' (Access Datasets from the Rdatasets Archive)
 Download and access datasets from the Rdatasets archive
 (<https://vincentarelbundock.github.io/Rdatasets/>). The package provides
 functions to search, download, and view documentation for thousands of
 datasets from various R packages, available in both CSV and Parquet formats
 for efficient access.

Package: r-cran-rdbnomics
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2884
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-rdbnomics_0.6.4-1.ca2004.1_all.deb
Size: 1741872
MD5sum: ddac2c62085faa93fb84f042a322a06d
SHA1: 597087b162fe3b8cf863101c9b475ddd0b940ad7
SHA256: 336830be5ee6c94d5457e2c0b7794ace08ec5c948a9c44d9c36ecde30b54bceb
SHA512: 7ec164ec0470fdcea0da88dc8865eae81faa91f2c357e19920a7b4108e42bf5b557ae585f6016ddacbdbc6e07ef83377b1b445713bbe125e584632d3a6962548
Homepage: https://cran.r-project.org/package=rdbnomics
Description: CRAN Package 'rdbnomics' (Download DBnomics Data)
 R access to hundreds of millions data series from DBnomics API
 (<https://db.nomics.world/>).

Package: r-cran-rdd
Architecture: all
Version: 0.57-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-lmtest, r-cran-aer, r-cran-formula
Filename: pool/dists/focal/main/r-cran-rdd_0.57-1.ca2004.1_all.deb
Size: 77576
MD5sum: 48c320b3e22f2d770aa9706723aaf9f8
SHA1: e52c48633e5501fd0e47301f2103c62b110368b9
SHA256: 0747d79171b1642e6f307495222f469035698ec8ca0d5166352e5a379123c77a
SHA512: c283daa141b9cfa2c56421293926f413bb3902515015290d7914f115545bfc2d041d12ff5693d08bff67c64d08c59e81b3c75aeb55e108fff2e60146e83bdb52
Homepage: https://cran.r-project.org/package=rdd
Description: CRAN Package 'rdd' (Regression Discontinuity Estimation)
 Provides the tools to undertake estimation in Regression Discontinuity
 Designs. Both sharp and fuzzy designs are supported. Estimation is
 accomplished using local linear regression.  A provided function will
 utilize Imbens-Kalyanaraman optimal bandwidth calculation. A function is
 also included to test the assumption of no-sorting effects.

Package: r-cran-rddapp
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3763
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-aer, r-cran-sandwich, r-cran-lmtest, r-cran-formula, r-cran-shiny, r-cran-r.utils, r-cran-plot3d, r-cran-sp, r-cran-dt
Suggests: r-cran-foreign, r-cran-devtools, r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rddapp_1.3.2-1.ca2004.1_all.deb
Size: 1189188
MD5sum: f73faf19c87d4c112532bd8571498696
SHA1: ea202ea4530f8ad5376b6ead0aa6d6a1af0ecbbb
SHA256: 5f348c43aff03d28f397be888876ad2e5c1a12b9b81482966353dab214ff0df4
SHA512: 104a62c0ac211792e39e7bf62b01bb1d4ab55e8c1d5ee25a09b4303597d2fbc6dbe440cae27de028759de7906bc88f71a128ae01e1d846e74f43eb31e8042523
Homepage: https://cran.r-project.org/package=rddapp
Description: CRAN Package 'rddapp' (Regression Discontinuity Design Application)
 Estimation of both single- and multiple-assignment Regression Discontinuity
 Designs (RDDs). Provides both parametric (global) and non-parametric (local)
 estimation choices for both sharp and fuzzy designs, along with power
 analysis and assumption checks.  Introductions to the underlying logic and
 analysis of RDDs are in Thistlethwaite, D. L., Campbell, D. T. (1960)
 <doi:10.1037/h0044319> and Lee, D. S., Lemieux, T. (2010)
 <doi:10.1257/jel.48.2.281>.

Package: r-cran-rdddr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1582
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-generics, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-dataverse, r-cran-readr, r-cran-prediction, r-cran-broom, r-cran-purrr, r-cran-fabricatr, r-cran-estimatr, r-cran-randomizr, r-cran-declaredesign
Suggests: r-cran-testthat, r-cran-rdrobust, r-cran-didmultiplegt, r-cran-broom.mixed, r-cran-grf, r-cran-causalqueries, r-cran-metafor, r-cran-cjoint, r-cran-lme4, r-cran-rstanarm, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-rdddr_1.0.0-1.ca2004.1_all.deb
Size: 1571252
MD5sum: f9ac3e11b1d2b95ef3a652f50e24b788
SHA1: 701e286709cb97a08370f3f80399c18e59ae94bd
SHA256: 37e2aeaa42e3957f8fa37baa531e5bcafdfbca2db9192ecd2f6f06f30b271d7a
SHA512: 61bfd4c8bf79bcaa17471440fc6a534f6dde7cc6cee228463516bec9042bc9a546b81803375f828eb8e0698de073e470a92cb2a8d33435435a5268322300900c
Homepage: https://cran.r-project.org/package=rdddr
Description: CRAN Package 'rdddr' (Companion Datasets and Functions for Blair, Coppock, andHumphreys (2022) "Research Design: Declare, Diagnose, Redesign")
 Helper functions to accompany the Blair, Coppock, and Humphreys (2022)
 "Research Design: Declare, Diagnose, Redesign"
 <https://book.declaredesign.org>. 'rdddr' includes datasets, helper
 functions, and plotting components to enable use and replication of the
 book.

Package: r-cran-rddensity
Architecture: all
Version: 2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lpdensity
Filename: pool/dists/focal/main/r-cran-rddensity_2.6-1.ca2004.1_all.deb
Size: 168548
MD5sum: b34a39a9842bf0685e219ad8ce665ba0
SHA1: f68cfe9ec5da062e03230abd10e3c90fe49b84d5
SHA256: 620286db4d9808f6501377f52b1945c6178aa8c2e948b96da3167b9ae873c282
SHA512: 710d21b8e796f199b6725ceb8d8fa2024c2c4332a37f5f62682a4ac183c37b8bf57767b68eb345c89c5ee985a7a5acab91204f238c45904eae65ac100522597e
Homepage: https://cran.r-project.org/package=rddensity
Description: CRAN Package 'rddensity' (Manipulation Testing Based on Density Discontinuity)
 Density discontinuity testing (a.k.a. manipulation testing) is commonly
 employed in regression discontinuity designs and other program evaluation
 settings to detect perfect self-selection (manipulation) around a cutoff
 where treatment/policy assignment changes. This package implements
 manipulation testing procedures using the local polynomial density
 estimators: rddensity() to construct test statistics and p-values given a
 prespecified cutoff, rdbwdensity() to perform data-driven bandwidth
 selection, and rdplotdensity() to construct density plots.

Package: r-cran-rddi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1211
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-glue, r-cran-xml2
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rddi_0.1.1-1.ca2004.1_all.deb
Size: 535896
MD5sum: 79d086c582e6eb1eac4d1b501d4014af
SHA1: 1086fbec4d8a3581d5de842689ac84263fa7b3a2
SHA256: 5ee0cee8775327e24be844930a43115bb17f2c78dec1cf016661081feb40f6b4
SHA512: bbb05ce9a24b1c092ad1e84cc340ccf17cd338bd6321145b6c0a0719932721df3661bd86c7350680d4f96c2e075eb13029aed1962245dc7436b7155271d66813
Homepage: https://cran.r-project.org/package=rddi
Description: CRAN Package 'rddi' (R Interface to DDI Codebook 2.5)
 A direct interface to the underlying XML representation of DDI Codebook 2.5
 with flexible API creation.

Package: r-cran-rddtools
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-np, r-cran-kernsmooth, r-cran-ggplot2, r-cran-rdd, r-cran-sandwich, r-cran-lmtest, r-cran-formula, r-cran-locpol, r-cran-rdrobust, r-cran-rmarkdown
Suggests: r-cran-car, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rddtools_1.6.0-1.ca2004.1_all.deb
Size: 375064
MD5sum: 32c48854f9840cd02596b7f9bcee6a6f
SHA1: bdd35a7a3a0ac66cc1480f884f30676ef0fe76d5
SHA256: ad6fbcbec70c2180b762510eea9ba5825ee228ce1394ac83f9bff2a45688b945
SHA512: e6f8f70f699fadd7113283c424ebcffe89d0c081331a04a200d29104d10529505f36fff20d0d24f7d625c470836a6ae02e1acdf063eca255eba852553e1c63e4
Homepage: https://cran.r-project.org/package=rddtools
Description: CRAN Package 'rddtools' (Toolbox for Regression Discontinuity Design ('RDD'))
 Set of functions for Regression Discontinuity Design ('RDD'), for data
 visualisation, estimation and testing.

Package: r-cran-rde
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clipr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rde_0.1.0-1.ca2004.1_all.deb
Size: 31232
MD5sum: 55f7c6e42521aee780234a5d5819896b
SHA1: 33819a12c49807df4d0f1c5cf05b2b7c7cd1ae82
SHA256: 2be72fd08c9755f4cd7e8caa69336fcae6de5ffd0550fc52b68cbef5b6aef852
SHA512: 409bbd8b2a2361894b7c6f96ef438ceb000147ecc48c839662d70f6cbece22fadff25248bf3b0023edf6dddb74d615949ee9b6f631b25a84444bf5c3f4ef9403
Homepage: https://cran.r-project.org/package=rde
Description: CRAN Package 'rde' (Reproducible Data Embedding)
 Allows caching of raw data directly in R code. This allows R scripts and R
 Notebooks to be shared and re-run on a machine without access to the
 original data. Cached data is encoded into an ASCII string that can be
 pasted into R code. When the code is run, the data is automatically loaded
 from the cached version if the original data file is unavailable.  Works
 best for small datasets (a few hundred observations).

Package: r-cran-rdecision
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rlang, r-cran-withr
Suggests: r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdecision_1.3.0-1.ca2004.1_all.deb
Size: 1471988
MD5sum: b435c8effd1ca4cc7fe183485c4e0b56
SHA1: c2fc4f5e70d85972047e51c5e6310ad9d63a4b3f
SHA256: 870b9364b0e6230ca14d24d89f492ec4c01638b45f3bc4748493e4359ea05696
SHA512: 34f227883dc969fa8970479f1ac049bbe302bf03436b27891a73700bc3f06dffc7cc0a75f9e583db4a377c67780186e938c9ee1dc617702445c1a542c16002b8
Homepage: https://cran.r-project.org/package=rdecision
Description: CRAN Package 'rdecision' (Decision Analytic Modelling in Health Economics)
 Classes and functions for modelling health care interventions using decision
 trees and semi-Markov models. Mechanisms are provided for associating an
 uncertainty distribution with each source variable and for ensuring
 transparency of the mathematical relationships between variables.  The
 package terminology follows Briggs "Decision Modelling for Health Economic
 Evaluation" (2006, ISBN:978-0-19-852662-9).

Package: r-cran-rdecode
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 671
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rdecode_0.1.0-1.ca2004.1_all.deb
Size: 640936
MD5sum: 74df36d7f39ccbf8d5691880c6ba2c38
SHA1: 64e5a8321629abb3bfbd07ec9c4251515712ddb5
SHA256: 4713ceabded167fc65ac535bed6b0dda49d03081c4e479cdcbfdc84ffb582195
SHA512: 734a4cea711b8226b77bed754f77f4f7d89162c0f9f581eb021c919e992fbd1d47d043c9cd6281066a02f58333989f9b7b982d17edbd8b29f6883bf84a31f8a3
Homepage: https://cran.r-project.org/package=rDecode
Description: CRAN Package 'rDecode' (Descent-Based Calibrated Optimal Direct Estimation)
 Algorithms for solving a self-calibrated l1-regularized quadratic
 programming problem without parameter tuning. The algorithm, called DECODE,
 can handle high-dimensional data without cross-validation. It is found
 useful in high dimensional portfolio selection (see Pun (2018)
 <https://ssrn.com/abstract=3179569>) and large precision matrix estimation
 and sparse linear discriminant analysis (see Pun and Hadimaja (2019)
 <https://ssrn.com/abstract=3422590>).

Package: r-cran-rdeps
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli
Filename: pool/dists/focal/main/r-cran-rdeps_0.3-1.ca2004.1_all.deb
Size: 218328
MD5sum: 44a90f7c21e76b6495f2e9e88648e862
SHA1: 043b9cb7e4cc053d350dd33e1d8feb8e164b2131
SHA256: 2d598cbc808056467bb8ef2dcc573aec6dec6bc39132c700c62a3cc320c6ff8d
SHA512: 8f5302fd21a5f828a32165b8db34293d8a6d62d0a655879f0ad8a66b437ee1d60429c5d591d77869d7367eca4eb3e2f5abdf8cac90bad2cb1dd00737eace2ca2
Homepage: https://cran.r-project.org/package=rdeps
Description: CRAN Package 'rdeps' (Identify External Packages Used in a Project)
 Screens all '.R', '.Rmd', and '.qmd' files to extract the name of packages
 used in a project. This package detects packages called with 'library(foo)',
 'require(foo)', 'foo::bar()' and 'use("foo", "bar")' and adds these
 dependencies in the DESCRIPTION file in the sections Depends, Imports, and
 Suggests.

Package: r-cran-rdetools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rdetools_1.0-1.ca2004.1_all.deb
Size: 89036
MD5sum: 1a7214357492ada9d9ce7605425cbc8c
SHA1: 5a80c442190809597de48526eb3e4c8936821d76
SHA256: cd5df4c6fbe7fd5dfef19dbcfde7bc5b6725e92ada7225e86ee76b1a51f937f3
SHA512: f6d2912330e3b8bcad4b7fab57d50c95f0e27b36a2807afaabc175b16ac35aba194d1fff574736f3fd7c9e1990b4870cdd40fb5c3be1969a9351c0b70d107266
Homepage: https://cran.r-project.org/package=rdetools
Description: CRAN Package 'rdetools' (Relevant Dimension Estimation (RDE) in Feature Spaces)
 The package provides functions for estimating the relevant dimension of a
 data set in feature spaces, applications to model selection, graphical
 illustrations and prediction.

Package: r-cran-rdflib
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-redland, r-cran-stringi, r-cran-readr, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-magrittr, r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-jqr, r-cran-dt, r-cran-tibble, r-cran-purrr, r-cran-lubridate, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-repurrrsive, r-cran-nycflights13, r-cran-spelling, r-cran-jsonld
Filename: pool/dists/focal/main/r-cran-rdflib_0.2.9-1.ca2004.1_all.deb
Size: 152604
MD5sum: b54cda5266ff1a8056b4187f764ff5b4
SHA1: a75edaf8aad579dd074da6c9c8d6d857e3b7fa4d
SHA256: 4d4670b405f0f02027792e82b50622c7a99d90006a256f4293c63dd6be74d74b
SHA512: 14a4158d6836c4705f656a738fabc79b3a3e4dda665088cfc41b6074fa13f8f37f7483c6a324d3e7428834ce624a4be545a664d2eea142222cad17a4c6d149cb
Homepage: https://cran.r-project.org/package=rdflib
Description: CRAN Package 'rdflib' (Tools to Manipulate and Query Semantic Data)
 The Resource Description Framework, or 'RDF' is a widely used data
 representation model that forms the cornerstone of the Semantic Web. 'RDF'
 represents data as a graph rather than the familiar data table or rectangle
 of relational databases.  The 'rdflib' package provides a friendly and
 concise user interface for performing common tasks on 'RDF' data, such as
 reading, writing and converting between the various serializations of 'RDF'
 data, including 'rdfxml', 'turtle', 'nquads', 'ntriples', and 'json-ld';
 creating new 'RDF' graphs, and performing graph queries using 'SPARQL'.
 This package wraps the low level 'redland' R package which provides direct
 bindings to the 'redland' C library.  Additionally, the package supports the
 newer and more developer friendly 'JSON-LD' format through the 'jsonld'
 package. The package interface takes inspiration from the Python 'rdflib'
 library.

Package: r-cran-rdfp
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-plyr, r-cran-xml, r-cran-dplyr, r-cran-xml2, r-cran-readr, r-cran-data.table, r-cran-purrr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-here
Filename: pool/dists/focal/main/r-cran-rdfp_0.1.4-1.ca2004.1_all.deb
Size: 648488
MD5sum: 49d418774b288c7f1088911f0fb46149
SHA1: 2027c1159ae8a926a7e7555e0e7c485b4271b434
SHA256: d5f20aff32c6868f20f25937b0365622e17a21fa8fadb33544c36941aa1e9350
SHA512: 97d16ec228e0e1b967efb873024d24a0bb3eb3518d538f367576ae32afd7e398389db54232fc88bc45707a88a040a11827b6e722f5755f165dbeb9f30c8d7233
Homepage: https://cran.r-project.org/package=rdfp
Description: CRAN Package 'rdfp' (An Implementation of the 'DoubleClick for Publishers' API)
 Functions to interact with the 'Google DoubleClick for Publishers (DFP)' API
 <https://developers.google.com/ad-manager/api/start> (recently renamed to
 'Google Ad Manager'). This package is automatically compiled from the API
 WSDL (Web Service Description Language) files to dictate how the API is
 structured.  Theoretically, all API actions are possible using this package;
 however, care must be taken to format the inputs correctly and parse the
 outputs correctly.  Please see the 'Google Ad Manager' API reference
 <https://developers.google.com/ad-manager/api/rel_notes> and this package's
 website <https://stevenmmortimer.github.io/rdfp/> for more information,
 documentation, and examples.

Package: r-cran-rdhonest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-withr
Suggests: r-cran-spelling, r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-rdhonest_1.0.1-1.ca2004.1_all.deb
Size: 1452716
MD5sum: 3a27e6c5ebe6733ac2123d7d2ce6efd8
SHA1: 69bba66017cd09e9f5bd5e7ccfe37f00a47ce4a0
SHA256: 4a68028bcd42efb656b875c55d344177baf3b8d547c065ce48ccf8d36a1c762b
SHA512: 423ad7ddd08c546dad248b7ab41e914adca6d8d1179fa6cefcafb8d00ea34ee64ea62a94ab5be1920e053a28104547a8870145cadbdcbdfcf21304169e856c8c
Homepage: https://cran.r-project.org/package=RDHonest
Description: CRAN Package 'RDHonest' (Honest Inference in Regression Discontinuity Designs)
 Honest and nearly-optimal confidence intervals in fuzzy and sharp regression
 discontinuity designs and for inference at a point based on local linear
 regression. The implementation is based on Armstrong and Kolesár (2018)
 <doi:10.3982/ECTA14434>, and Kolesár and Rothe (2018)
 <doi:10.1257/aer.20160945>. Supports covariates, clustering, and weighting.

Package: r-cran-rdhs
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2098
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brio, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-foreign, r-cran-magrittr, r-cran-rappdirs, r-cran-digest, r-cran-storr, r-cran-xml2, r-cran-qdapregex, r-cran-getpass, r-cran-haven, r-cran-iotools, r-cran-sf, r-cran-cli, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-survey, r-cran-data.table, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-rdhs_0.8.1-1.ca2004.1_all.deb
Size: 582788
MD5sum: 3b70e072f37c68190527bcfac1200936
SHA1: c360a9988b4816389b5078853d4f1b4336b16d4f
SHA256: 95cf7c54c2612a655c5e9ccbf294846cd45cd9dd0c624e2a4cd49a7d0703cb76
SHA512: 452863ad4d54d7a159590a585a4154b1928dfaf6a9b002057fb9279eccbc432d1c6c9f35e90cbc8d2f26de2950273f2696b31c491b368516a4005b7ea4cf6196
Homepage: https://cran.r-project.org/package=rdhs
Description: CRAN Package 'rdhs' (API Client and Dataset Management for the Demographic and HealthSurvey (DHS) Data)
 Provides a client for (1) querying the DHS API for survey indicators and
 metadata (<https://api.dhsprogram.com/#/index.html>), (2) identifying
 surveys and datasets for analysis, (3) downloading survey datasets from the
 DHS website, (4) loading datasets and associate metadata into R, and (5)
 extracting variables and combining datasets for pooled analysis.

Package: r-cran-rdhte
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdrobust, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-rdhte_0.0.2-1.ca2004.1_all.deb
Size: 47492
MD5sum: a8f032cc7b77abbd5c2dfba5e6622238
SHA1: 80d947d9678b06efd9e7ec2052bd1f9d7dc3e4c9
SHA256: 9b26c8e59a8cc9d8c9708c1fb9299dc32573a691240a456c914108798830e355
SHA512: 702207c37baf16473b06aa09d0dfac05e9b88515d183721e67e6958724c8c8e6c46bce268304ae445233c81bba46260f9730268b44480712254103f5ef9091b0
Homepage: https://cran.r-project.org/package=rdhte
Description: CRAN Package 'rdhte' (Heterogeneous Treatment Effects in Regression DiscontinuityDesigns)
 Understanding heterogeneous causal effects based on pretreatment covariates
 is a crucial step in modern empirical work in data science. Building on the
 recent developments in Calonico et al (2025)
 <https://rdpackages.github.io/references/Calonico-Cattaneo-Farrell-Palomba-Titiunik_2025_HTERD.pdf>,
 this package provides tools for estimation and inference of heterogeneous
 treatment effects in Regression Discontinuity (RD) Designs. The package
 includes two main commands: 'rdhte' to conduct estimation and robust
 bias-corrected inference for conditional RD treatment effects (given choice
 of bandwidth parameter); and 'rdbwhte', which implements automatic bandwidth
 selection methods.

Package: r-cran-rdi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-beanplot, r-cran-gplots, r-cran-pdist, r-cran-stringr
Suggests: r-cran-knitr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rdi_1.0.0-1.ca2004.1_all.deb
Size: 82332
MD5sum: 70b2c872db47ea1e503df875f46b4104
SHA1: e68e883fd2b03e32130f167011b65ce1b697903f
SHA256: 3a4684e42c4928063630871fc737b481951336fb93b7d8449beda61f02e7ca75
SHA512: 4c04c38fa367cc5ee472c4767d0cccc905f3928414c90308fabcc7aaef62549cc4536fdb848c11a415201767744e4d8c2f9f0b68f9d800d7431ae6588d1058f3
Homepage: https://cran.r-project.org/package=rdi
Description: CRAN Package 'rdi' (Repertoire Dissimilarity Index)
 Methods for calculation and visualization of the Repertoire Dissimilarity
 Index. Citation: Bolen and Rubelt, et al (2017)
 <doi:10.1186/s12859-017-1556-5>.

Package: r-cran-rdiagnosislist
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 774
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-data.table, r-cran-bit64
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdiagnosislist_1.4.0-1.ca2004.1_all.deb
Size: 469728
MD5sum: f5c038e3e6fbdb1f5d18268985ed5ef5
SHA1: 2696b6a59b6724ea36339406c18c650de20214ab
SHA256: ccf0aa41aa9129e30d85fff68644176f64e3821b5ec104d25e07e0e27238c38b
SHA512: fa7840cca67e04721a82851f4ba5d177689c99595093345d2f898ce56a9275b0b29b6c60fbfb22aae137051bb4a7cff8c09f32dff47e771fd71812e157d715ce
Homepage: https://cran.r-project.org/package=Rdiagnosislist
Description: CRAN Package 'Rdiagnosislist' (Manipulate SNOMED CT Diagnosis Lists)
 Functions and methods for manipulating 'SNOMED CT' concepts. The package
 contains functions for loading the 'SNOMED CT' release into a convenient R
 environment, selecting 'SNOMED CT' concepts using regular expressions, and
 navigating the 'SNOMED CT' ontology. It provides the 'SNOMEDconcept' S3
 class for a vector of 'SNOMED CT' concepts (stored as 64-bit integers) and
 the 'SNOMEDcodelist' S3 class for a table of concepts IDs with descriptions.
 The package can be used to construct sets of 'SNOMED CT' concepts for
 research (<doi:10.1093/jamia/ocac158>).  For more information about 'SNOMED
 CT' visit <https://www.snomed.org/>.

Package: r-cran-rdian
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-curl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdian_0.1.1-1.ca2004.1_all.deb
Size: 28716
MD5sum: ed600119268037c69c1c3ab29d282d44
SHA1: 771869036dfbd76c2ef3f74a9822973cf15f903b
SHA256: 62f4e2c464bcab9edfbd34ee0df01cf9825cb179120774a8be9b3484374e1074
SHA512: a293a14551417fbba4d298acc8a097d627d4d94220776ec921390246f33acc4080c57814da8fefd3e2d05c4b4f52e6c57ab2e0ffbc46ba3d8f7422109edfa32f
Homepage: https://cran.r-project.org/package=rdian
Description: CRAN Package 'rdian' (Client Library for The Guardian)
 A client library for 'The Guardian' (https://www.guardian.com/) and their
 API, this package allows users to search for Guardian articles and retrieve
 both the content and metadata.

Package: r-cran-rdice
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rdice_1.0.0-1.ca2004.1_all.deb
Size: 276980
MD5sum: a2e2cfa02773fa66b7a415904355c562
SHA1: e37e7aac625871bfd3965ed97509e5c0f5a4b2bc
SHA256: 88e33d1e8e4a5fde8d22c5cd5040671c30d56563be7be4f108dd1b7ff3e30011
SHA512: b9afde2ef9212fca95305fb24973c40392ac8872b8330c5888577f1bc44eb18a3dd775926b422339afa68c3a567eb9005d464f0dc4e14365d56f7b293badb1cf
Homepage: https://cran.r-project.org/package=Rdice
Description: CRAN Package 'Rdice' (A Collection of Functions to Experiment Dice Rolls)
 A collection of functions to simulate dice rolls and the like. In
 particular, experiments and exercises can be performed looking at
 combinations and permutations of values in dice rolls and coin flips,
 together with the corresponding frequencies of occurrences. When applying
 each function, the user has to input the number of times (rolls, flips) to
 toss the dice. Needless to say, the more the tosses, the more the
 frequencies approximate the actual probabilities.  Moreover, the package
 provides functions to generate non-transitive sets of dice (like Efron's)
 and to check whether a given set of dice is non-transitive with given
 probability.

Package: r-cran-rdidq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-descr
Filename: pool/dists/focal/main/r-cran-rdidq_1.0-1.ca2004.1_all.deb
Size: 30640
MD5sum: 5f8a265b104dac61b145ed94e8c44cf3
SHA1: 26e1a46518a6cc34eee622a4d390a22271441d1b
SHA256: e945546f09b384f1746cffdc84379628f7f85fe4ad8d3e67554b56297264ade7
SHA512: dd5cab03670592d97f37fd3a07f261a273d2f4654565ad4bfc0ea065fc30f27b29ce5b3bebe6d24593ab19bd176604f078d034d0435edad9c5db3064f2b39f3e
Homepage: https://cran.r-project.org/package=RDIDQ
Description: CRAN Package 'RDIDQ' (It perform Quality check on data)
 The package has many function that helps to perform various quality check on
 the data.It basically provides many function that helps in performing
 Extrapolative data analysis.

Package: r-cran-rdistance
Architecture: all
Version: 4.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-units, r-cran-crayon, r-cran-withr, r-cran-tidyr, r-cran-dplyr, r-cran-progress, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdistance_4.0.5-1.ca2004.1_all.deb
Size: 482852
MD5sum: 0d9b28b028333630d24740dc8fd0d6b5
SHA1: 4236bba23cc0dff6f4239b58ce81f2c9f939ef35
SHA256: 8a88a752cf119771318fc503b6778bb7545245e73128f35395b606b8bce907fa
SHA512: b8e8416146ee36fee1f5fd52d964a9d5a880c47695b808a93ecb5bcd7917d59ea660f473aaad877803ad1c5db535c36b4a7fd6da01aaec114ae4b5497abb3186
Homepage: https://cran.r-project.org/package=Rdistance
Description: CRAN Package 'Rdistance' (Density and Abundance from Distance-Sampling Surveys)
 Distance-sampling (<doi:10.1007/978-3-319-19219-2>) estimates density and
 abundance of survey targets (e.g., animals) when detection probability
 declines with distance.  Distance-sampling is popular in ecology, especially
 when survey targets are observed from aerial platforms (e.g., airplane or
 drone), surface vessels (e.g., boat or truck), or along walking transects.
 Distance-sampling includes line-transect studies that measure observation
 distances as the closest approach of the sample route (transect) to the
 target (i.e., perpendicular off-transect distance), and point-transect
 studies that measure observation distances from stationary observers to the
 target (i.e., radial distance).  The routines included here fit smooth
 (parametric) curves to histograms of observation distances and use those
 functions to compute effective sampling distances, density of targets in the
 surveyed area, and abundance of targets in a surrounding study area. Curve
 shapes include the half-normal, hazard rate, and negative exponential
 functions.  Physical measurement units are required and used throughout to
 ensure density is reported correctly. The help files are extensive and have
 been vetted by multiple authors.

Package: r-cran-rdiversity
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reshape2, r-cran-stringdist
Suggests: r-cran-ape, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rdiversity_2.2.0-1.ca2004.1_all.deb
Size: 565148
MD5sum: f54378f3406fb491c409faed9355b69d
SHA1: 7d5eaab4964b46d80896804d19b2256f87fd7796
SHA256: 44a5811c508888caeae3ebac0fc540b812b014ed512f02d0cf8fa6237fbebaf5
SHA512: e463a363cc0b57e7fbd91059401a2c845f0c13cc18d3443ae9aafc41f3c41c0b020a05e3b49ffef68b28af3bdcea4b41d692d2f98803095b095ab2f8c82bf05b
Homepage: https://cran.r-project.org/package=rdiversity
Description: CRAN Package 'rdiversity' (Measurement and Partitioning of Similarity-SensitiveBiodiversity)
 Provides a framework for the measurement and partitioning of the
 (similarity-sensitive) biodiversity of a metacommunity and its constituent
 subcommunities. Richard Reeve, et al. (2016) <arXiv:1404.6520v3>.

Package: r-cran-rdlearn
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nprobust, r-cran-nnet, r-cran-rdrobust, r-cran-ggplot2, r-cran-dplyr, r-cran-glue, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdlearn_0.1.1-1.ca2004.1_all.deb
Size: 388960
MD5sum: ddee9f1b00e63888efffeb5f7fa5c28e
SHA1: ff6f192ec9c0e8591356ab728ebcd978c0c2c182
SHA256: c6a0e8af7560ef2ffc54d75cd218444646ce2a7af14ef5bfdb506e4f85bf8d84
SHA512: 312ddc026cec12d79d6d4cd3afeb898fbe54b003bf506f99a253531003e205b03c286115040db93742a25718b910e27dbf22492512f1273e8a4b7bd92b3fb54b
Homepage: https://cran.r-project.org/package=rdlearn
Description: CRAN Package 'rdlearn' (Safe Policy Learning under Regression Discontinuity Design withMultiple Cutoffs)
 Implements safe policy learning under regression discontinuity designs with
 multiple cutoffs, based on Zhang et al. (2022)
 <doi:10.48550/arXiv.2208.13323>.  The learned cutoffs are guaranteed to
 perform no worse than the existing cutoffs in terms of overall outcomes. The
 'rdlearn' package also includes features for visualizing the learned cutoffs
 relative to the baseline and conducting sensitivity analyses.

Package: r-cran-rdlocrand
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-aer, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-rdlocrand_1.1-1.ca2004.1_all.deb
Size: 119192
MD5sum: 0e85d4c74d9d970dc4f303fc3d279076
SHA1: b435f51aa4f6da38d6f427e9bd779e0618831f3b
SHA256: d3ac74b15aa9d81bfd50b6a0f12b35e2988c1fe55c6fbe528bb3fa74313c92a6
SHA512: 0223d9282d3e5d52b8f3dc17a439063a50d970524703bed6f482241ec6dee88ff200a0801851521dc56ebaee94bfa15fa4513be18e81c980e79ee15b8bd2295a
Homepage: https://cran.r-project.org/package=rdlocrand
Description: CRAN Package 'rdlocrand' (Local Randomization Methods for RD Designs)
 The regression discontinuity (RD) design is a popular quasi-experimental
 design for causal inference and policy evaluation. Under the local
 randomization approach, RD designs can be interpreted as randomized
 experiments inside a window around the cutoff. This package provides tools
 to perform randomization inference for RD designs under local randomization:
 rdrandinf() to perform hypothesis testing using randomization inference,
 rdwinselect() to select a window around the cutoff in which randomization is
 likely to hold, rdsensitivity() to assess the sensitivity of the results to
 different window lengths and null hypotheses and rdrbounds() to construct
 Rosenbaum bounds for sensitivity to unobserved confounders. See Cattaneo,
 Titiunik and Vazquez-Bare (2016)
 <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2016_Stata.pdf>
 for further methodological details.

Package: r-cran-rdml
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-piper, r-cran-readxl, r-cran-rlist, r-cran-r6, r-cran-stringr, r-cran-xml2, r-cran-lubridate
Suggests: r-cran-chippcr, r-cran-magrittr, r-cran-reshape2, r-cran-qpcr, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-kfigr, r-cran-mbmca, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinymolbio, r-cran-v8, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdml_1.0-1.ca2004.1_all.deb
Size: 1675328
MD5sum: 96e0ec54f278756ca07bbe289d4ee8d3
SHA1: 4239c42e0b98693d414efd7c892f72aab00fc3c2
SHA256: 87517c104b6db0779069c34275c8ed13fd412544e44988e04c46006f29875f9b
SHA512: 094a5d06354cdc1ba74b1ca67b6aca18d72beb9201ee8353436a8a1546722b9097e921d9a9de6a50bbdf00bde871b639d00e8568456fde626a3a8919c16f4bfd
Homepage: https://cran.r-project.org/package=RDML
Description: CRAN Package 'RDML' (Importing Real-Time Thermo Cycler (qPCR) Data from RDML FormatFiles)
 Imports real-time thermo cycler (qPCR) data from Real-time PCR Data Markup
 Language (RDML) and transforms to the appropriate formats of the 'qpcR' and
 'chipPCR' packages. Contains a dendrogram visualization for the structure of
 RDML object and GUI for RDML editing.

Package: r-cran-rdmulti
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-rdrobust
Filename: pool/dists/focal/main/r-cran-rdmulti_1.2-1.ca2004.1_all.deb
Size: 76588
MD5sum: e916c41311e75b529d692ccdc690e3da
SHA1: c3cc1cd00ba37695a97ddeeaa139adb9cb5df879
SHA256: 7046c3f168bf9a0d1a9d74e3e15c34b05fc9aa18d35a99d8c95b780a14dea826
SHA512: ffe66526b3d2f426a82371df191684c177e0ec01c8a573bb3478ccda1838bd5b222683a489d34afb252b0926809299a5862900c4d7a868f1cd2da3899ed80420
Homepage: https://cran.r-project.org/package=rdmulti
Description: CRAN Package 'rdmulti' (Analysis of RD Designs with Multiple Cutoffs or Scores)
 The regression discontinuity (RD) design is a popular quasi-experimental
 design for causal inference and policy evaluation. The 'rdmulti' package
 provides tools to analyze RD designs with multiple cutoffs or scores: rdmc()
 estimates pooled and cutoff specific effects for multi-cutoff designs,
 rdmcplot() draws RD plots for multi-cutoff designs and rdms() estimates
 effects in cumulative cutoffs or multi-score designs. See Cattaneo, Titiunik
 and Vazquez-Bare (2020)
 <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2020_Stata.pdf>
 for further methodological details.

Package: r-cran-rdnase
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3085
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-bioc-biostrings, r-bioc-gosemsim, r-cran-foreach, r-cran-doparallel, r-cran-rcurl, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-rdnase_1.1-1-1.ca2004.1_all.deb
Size: 1224088
MD5sum: 585ccf2c393fa1df91e91b5998c4f1df
SHA1: bcb5909ca67bec0ea5f22fc93e0edfd31a1ce02b
SHA256: 65bc8d4648e3e5f194ad0b0ecd18b670f0570dd7e0431e1ae3db283a9ca01b66
SHA512: 5e0578f3523bbc4d46ad398a21d420ec550f0f9c9825a4c5e1ecf6521dd5280280191f6b733be4ea6e9e437e2828857077aacd46a850231e304151deb26d030f
Homepage: https://cran.r-project.org/package=rDNAse
Description: CRAN Package 'rDNAse' (Generating Various Numerical Representation Schemes of DNASequences)
 Comprehensive toolkit for generating various numerical representation
 schemes of DNA sequence. The descriptors and similarity scores included are
 extensively used in bioinformatics and chemogenomics.

Package: r-cran-rdnb
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-brew, r-cran-httr, r-cran-stringr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rdnb_0.1-5-1.ca2004.1_all.deb
Size: 62644
MD5sum: 066c7ff34acb329a84c870b059c268fc
SHA1: 46762a1df7e970b8acbf128dae593fd56ed6753f
SHA256: 07c5423842177e7c70e56337f045f3a72e9e0fd4b348bce89b265cce3fe89556
SHA512: 550d791562ec59b0fdf19960f36669afd2c600a73dc5184cdbeb4f279e590b455d8c063e5d93e2afc22c34472d09437aad90a8207a55b39acee931a3abb62d5c
Homepage: https://cran.r-project.org/package=rdnb
Description: CRAN Package 'rdnb' (R Interface to the 'Deutsche Nationalbibliothek (German NationalLibrary) API')
 A wrapper for the 'Deutsche Nationalbibliothek (German National Library)
 API', available at <https://www.dnb.de/EN/Home/home_node.html>.  The German
 National Library is the German central archival library, collecting,
 archiving, bibliographically classifying all German and German-language
 publications, foreign publications about Germany, translations of German
 works, and the works of German-speaking emigrants published abroad between
 1933 and 1945.

Package: r-cran-rdnp
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cellwise, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rdnp_1.3-1.ca2004.1_all.deb
Size: 15104
MD5sum: 4f9b24070dbabe3d66fc6bcdc1b37e65
SHA1: 905436bf1aa6f0deeca175df3a43f7f051871df9
SHA256: 334fbc4df270a8db07b501d6e5a4c458e59dfc051651a00ef4cead14870d2ce7
SHA512: f985cb5415d560298d8348838dd866cea93da367a39d2781501ebf7c0582a10fd869eef469646904f87cda526d2c3482ef973b7cbe45b50d805c0ef3d80c91d1
Homepage: https://cran.r-project.org/package=RDnp
Description: CRAN Package 'RDnp' (Robust Test for Complete Independence in High-Dimensions)
 Test Statistics for Independence in High-Dimensional Datasets. This package
 consists of two functions to perform the complete independence test based on
 test statistics proposed by Bulut (unpublished yet) and suggested by
 Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. The Bulut's
 statistic is not sensitive to outliers in high-dimensional data, unlike one
 of Najarzadeh (2021) <doi: 10.1080/03610926.2019.1702699>. So, the Bulut's
 statistic can be performed robustly by using RDnp function.

Package: r-cran-rdoc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-crayon, r-cran-cli, r-cran-prettycode
Suggests: r-cran-testthat, r-cran-mockery, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rdoc_0.1.0-1.ca2004.1_all.deb
Size: 101608
MD5sum: 443e9849148e856631761a551fcc3afc
SHA1: 5f5986405cd3c4effc858f181c4b4ec5490b7709
SHA256: 3f16f8791443b98da4b3df594da41b4c15161ccc918354ea086349f9fe811a6b
SHA512: ebcb3705f933a662dcbc07b3ccd302bf53035593a03e7f879a342d07d23569e01f9984508992d5b9022066d6f1e3531bca31826acbb8189600b6926d85a9bc46
Homepage: https://cran.r-project.org/package=rdoc
Description: CRAN Package 'rdoc' (Colourised R Documentation)
 Extends tools::Rd2txt() by adding customisable text and colour formatting to
 R documentation contents. If used from a terminal, output will be displayed
 via file.show() otherwise contents will be printed in sections. Also
 provides stand-in replacements for ?() and help().

Package: r-cran-rdocdump
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-curl, r-cran-quarto, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rdocdump_0.1.0-1.ca2004.1_all.deb
Size: 58504
MD5sum: 7fffee5ba32445e076002083fab0c5ff
SHA1: 9396ba8fa43a7541c8465474b821c8a2921e052e
SHA256: d44680a429a4c17b05b47b0504983cfb1c6a6c5cff762c92b67a82f2ccb69917
SHA512: aaf64994fe0f3d5a32febbbc65f450cf0f216ce8da4f7dbf6826ba2281cebddcd16d34d7bf09371660399d9ac3da57eabbacc0cd010bde586e202af3522ed093
Homepage: https://cran.r-project.org/package=rdocdump
Description: CRAN Package 'rdocdump' (Dump 'R' Package Source, Documentation, and Vignettes into OneFile)
 Dump source code, documentation and vignettes of an 'R' package into a
 single file. Supports installed packages, tar.gz archives, and package
 source directories. If the package is not installed, only its source is
 automatically downloaded from CRAN for processing. The output is a single
 plain text file or a character vector, which is useful to ingest complete
 package documentation and source into a large language model (LLM) or pass
 it further to other tools, such as 'ragnar'
 <https://github.com/tidyverse/ragnar> to create a Retrieval-Augmented
 Generation (RAG) workflow.

Package: r-cran-rdocumentation
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-proto, r-cran-rjson
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdocumentation_0.8.2-1.ca2004.1_all.deb
Size: 28908
MD5sum: 7b8fef545803190bd1f7e87116fbf4a4
SHA1: 8d852e07c49c1a9d02c9e39f26d8a66a5240075d
SHA256: 58c04c7eee8890af389c8c501dff216a2d6b2c339ae18cf5eb8a179ddb094d8d
SHA512: 8c94ad8126cd70c178ea4945c3ccce0d43bbe27668fe63cc21b0f436f24a22e59ced0272d0be2d66cf28a7c6f6d47063e341c6e19d577cc549ccf15f2bc989f2
Homepage: https://cran.r-project.org/package=RDocumentation
Description: CRAN Package 'RDocumentation' (Integrate R with 'RDocumentation')
 Wraps around the default help functionality in R. Instead of plain
 documentation files, documentation will show up as it does on
 <https://www.rdocumentation.org>, a platform that shows R documentation from
 'CRAN', 'GitHub' and 'Bioconductor', together with informative stats to
 assess the package quality.

Package: r-cran-rdomains
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 798
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-urltools, r-cran-glmnet, r-cran-xml, r-cran-httr, r-cran-xml2, r-cran-curl, r-cran-virustotal, r-cran-aws.alexa, r-cran-jsonlite, r-cran-devtools, r-cran-r.utils
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-rdomains_0.2.1-1.ca2004.1_all.deb
Size: 322860
MD5sum: 2358946b8306c7ea69a7bce535f96765
SHA1: 5ba1024c674073a14565393dae055e33157472ef
SHA256: c5f5b4e4d1ce325df4eac89516bbc239bfe21f6922b60d247cbcbb4bae332f3e
SHA512: 46240f65bad9c20768fd4c0496f7aa3171d1496d3ef21246ff4fb1315905d2bef0433c868d8b24c5d9303d277c235cc83161907fa207bec6755b0a5397f8bc42
Homepage: https://cran.r-project.org/package=rdomains
Description: CRAN Package 'rdomains' (Get the Category of Content Hosted by a Domain)
 Get the category of content hosted by a domain. Use Shallalist
 <http://shalla.de/>, Virustotal (which provides access to lots of services)
 <https://www.virustotal.com/>, Alexa <https://aws.amazon.com/awis/>, DMOZ
 <https://curlie.org/>, University Domain list
 <https://github.com/Hipo/university-domains-list> or validated machine
 learning classifiers based on Shallalist data to learn about the kind of
 content hosted by a domain.

Package: r-cran-rdota2
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rdota2_0.1.6-1.ca2004.1_all.deb
Size: 100592
MD5sum: e24d2b15ed44c9e3c790bbbce2562d7c
SHA1: 2c3fbfc159be8bfe92d600888201c920a44b672c
SHA256: 80c10d4d7ab9533cd597c647e21e4fea8a8aa555ea27b53ee665d271a9bef4fb
SHA512: ac3a58a8764466a3a2468b6e74225ca49faaf94c5a6374d5293be707eb671f4380f1afc8aaea7a8e347fc8c4b325b35ff64e92e48a0603f9992c08d0dc76a855
Homepage: https://cran.r-project.org/package=RDota2
Description: CRAN Package 'RDota2' (An R Steam API Client for Valve's Dota2)
 An R API Client for Valve's Dota2. RDota2 can be easily used to connect to
 the Steam API and retrieve data for Valve's popular video game Dota2. You
 can find out more about Dota2 at <http://store.steampowered.com/app/570/>.

Package: r-cran-rdpack
Architecture: all
Version: 2.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rbibutils
Suggests: r-cran-testthat, r-cran-rstudioapi, r-cran-rprojroot, r-cran-gbrd
Filename: pool/dists/focal/main/r-cran-rdpack_2.6.4-1.ca2004.1_all.deb
Size: 615116
MD5sum: 1acd8523896478e8794a8576abc62ef2
SHA1: 1e9d8c451ce7953264a1bc1f0f77a77e00ceae4d
SHA256: 94fe29bf9f679aae3fea456ff569ca3bae7ec9ca1b95e46bfd73d9715a4218d0
SHA512: 0746db9fbed66a6d6e44968b888bbbd8cc1cdeb5c2c2e0d6ed44775eb9790bf8deed123f9318ae449fba16a180e08324d68a199fba4e3a72d9321bd8140d9699
Homepage: https://cran.r-project.org/package=Rdpack
Description: CRAN Package 'Rdpack' (Update and Manipulate Rd Documentation Objects)
 Functions for manipulation of R documentation objects, including functions
 reprompt() and ereprompt() for updating 'Rd' documentation for functions,
 methods and classes; 'Rd' macros for citations and import of references from
 'bibtex' files for use in 'Rd' files and 'roxygen2' comments; 'Rd' macros
 for evaluating and inserting snippets of 'R' code and the results of its
 evaluation or creating graphics on the fly; and many functions for
 manipulation of references and Rd files.

Package: r-cran-rdpower
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdrobust
Filename: pool/dists/focal/main/r-cran-rdpower_2.3-1.ca2004.1_all.deb
Size: 86780
MD5sum: 5b48389d754e986d79a56fe5b7bb12bb
SHA1: ae0f4650de481e239d6bbebe5e809e1b5c155738
SHA256: 4b6ede029a5b5b33fc6496e889570d1612e7e20d9249b586ce958510edafbc24
SHA512: 98146f860e055f22d6aafff0dbc1fb1e4d819bdd766b7406ea79a16d3338af69b9fc00e8799afbe38be2e023fa8a809e9efe60c7b669a92dee9b94f7bbb1e77c
Homepage: https://cran.r-project.org/package=rdpower
Description: CRAN Package 'rdpower' (Power Calculations for RD Designs)
 The regression discontinuity (RD) design is a popular quasi-experimental
 design for causal inference and policy evaluation. The 'rdpower' package
 provides tools to perform power, sample size and MDE calculations in RD
 designs: rdpower() calculates the power of an RD design, rdsampsi()
 calculates the required sample size to achieve a desired power and rdmde()
 calculates minimum detectable effects. See Cattaneo, Titiunik and
 Vazquez-Bare (2019)
 <https://rdpackages.github.io/references/Cattaneo-Titiunik-VazquezBare_2019_Stata.pdf>
 for further methodological details.

Package: r-cran-rdracor
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-data.table, r-cran-xml2, r-cran-igraph, r-cran-httr, r-cran-tibble, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-rdpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdracor_1.0.4-1.ca2004.1_all.deb
Size: 445368
MD5sum: 8cef96f48f84d40780b2533a983a2f75
SHA1: bf37ec2403ebc78d2ac63c7286ef984e19797d0e
SHA256: 520c0fe689066e958c7a7bb01929c2c0538158191b4bd7f019a1ba0fb0f4f4e8
SHA512: b0cc089dd6e60b2bd4d9dec6997b565a6fe5ae2424d0b1a0ab4daf6b38a02ae6f56f47c9f32ce2b2e7001564aeffa2f0ead409f210e6052729674f212707bc3f
Homepage: https://cran.r-project.org/package=rdracor
Description: CRAN Package 'rdracor' (Access to the 'DraCor' API)
 Provide an interface for 'Drama Corpora Project' ('DraCor') API:
 <https://dracor.org/documentation/api>.

Package: r-cran-rdrobust
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rdrobust_2.2-1.ca2004.1_all.deb
Size: 252956
MD5sum: 9e6d9a10f3425d4235a2891b88d9034e
SHA1: 4ae417574819ad117f19c0f72d5462b829d6ec68
SHA256: 076359639d120614f0d0815038f65f0b5d067b8edabae5d52355dad40de6cd05
SHA512: 5fe393c8445e7d3a76c39d5543737c67e1b2bb7bf400393b1762aeb657645fe18115b0dc1424e03620f90a7ffb843bc7ad7d81d1dc732c06afb0616b7289f94f
Homepage: https://cran.r-project.org/package=rdrobust
Description: CRAN Package 'rdrobust' (Robust Data-Driven Statistical Inference inRegression-Discontinuity Designs)
 Regression-discontinuity (RD) designs are quasi-experimental research
 designs popular in social, behavioral and natural sciences. The RD design is
 usually employed to study the (local) causal effect of a treatment,
 intervention or policy. This package provides tools for data-driven
 graphical and analytical statistical inference in RD designs: rdrobust() to
 construct local-polynomial point estimators and robust confidence intervals
 for average treatment effects at the cutoff in Sharp, Fuzzy and Kink RD
 settings, rdbwselect() to perform bandwidth selection for the different
 procedures implemented, and rdplot() to conduct exploratory data analysis
 (RD plots).

Package: r-cran-rdroolsjars
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10344
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rdroolsjars_1.0.1-1.ca2004.1_all.deb
Size: 9561032
MD5sum: 38fc180c8f28a43c0aac562de77610c6
SHA1: ad9deeb26ca5868f7d1dc6ceefe9dcb625d11197
SHA256: 5499697416e681ed418646831067e7bec6be8344a307b97877fef8cfb95bb279
SHA512: f6a5de8ca03300c724812c473526d05e8be29d6f5f9ef1dcde827b3caef90b2a0cb06ea2e520e8740e550305990142bd202e6260e214a8e531840abe02fd6fbf
Homepage: https://cran.r-project.org/package=Rdroolsjars
Description: CRAN Package 'Rdroolsjars' (Rdrools JARs)
 External jars required for package 'Rdrools'.

Package: r-cran-rdrop2
Architecture: all
Version: 0.8.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-testthat, r-cran-uuid
Filename: pool/dists/focal/main/r-cran-rdrop2_0.8.2.1-1.ca2004.1_all.deb
Size: 88856
MD5sum: a0e8c8250a5834180c0778575aa4fe12
SHA1: 4a0b9ae90fccf4331ee2892c3f4929c69bdc9db1
SHA256: 736232af362bed8fdf87c22144a0a70e735b8930b4c17b8c9a323b2fb4ef5634
SHA512: 159d1f5380d08a2d65c2d4192f16c087bbe8e49780766f8cbba296afe253cba4c36d458d026ad5ea577e45e440c156112b0542d099539a3a8b9e5b80eb54ee62
Homepage: https://cran.r-project.org/package=rdrop2
Description: CRAN Package 'rdrop2' (Programmatic Interface to the 'Dropbox' API)
 Provides full programmatic access to the 'Dropbox' file hosting platform
 <https://dropbox.com>, including support for all standard file operations.

Package: r-cran-rdrw
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-rdrw_1.0.2-1.ca2004.1_all.deb
Size: 61364
MD5sum: d91e2263bc3c8fd2fa65937a5c14230f
SHA1: 8dbbace327dd6f21b77fd0ffaa5d4b32c810ff5d
SHA256: a4c2bba1f03e80891bc00c6fda6843c8a58c723593dbe04c0fe42e6ab0689a41
SHA512: 23c3f3d10be5d0cd196c453dcb13659d76318efa7a093308273055206d5d01e2da15e3af3539ec20e902aa175d5836cbaf387c36004fff2c1a37d083854389df
Homepage: https://cran.r-project.org/package=Rdrw
Description: CRAN Package 'Rdrw' (Univariate and Multivariate Damped Random Walk Processes)
 We provide a toolbox to fit and simulate a univariate or multivariate damped
 random walk process that is also known as an Ornstein-Uhlenbeck process or a
 continuous-time autoregressive model of the first order, i.e., CAR(1) or
 CARMA(1, 0). This process is suitable for analyzing univariate or
 multivariate time series data with irregularly-spaced observation times and
 heteroscedastic measurement errors. When it comes to the multivariate case,
 the number of data points (measurements/observations) available at each
 observation time does not need to be the same, and the length of each time
 series can vary. The number of time series data sets that can be modeled
 simultaneously is limited to ten in this version of the package. We use
 Kalman-filtering to evaluate the resulting likelihood function, which leads
 to a scalable and efficient computation in finding maximum likelihood
 estimates of the model parameters or in drawing their posterior samples.
 Please pay attention to loading the data if this package is used for
 astronomical data analyses; see the details in the manual. Also see Hu and
 Tak (2020) <arXiv:2005.08049>.

Package: r-cran-rdryad
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-curl, r-cran-tibble, r-cran-hoardr, r-cran-zip, r-cran-jsonlite, r-cran-mime
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rdryad_1.0.0-1.ca2004.1_all.deb
Size: 80736
MD5sum: 8ddc5d17db82505a8f58f9b2421aa2ac
SHA1: 9e9f0999e6d48f278378de0f5c96fbfc4fcbe5f2
SHA256: b82babca9ebbc5df6b697088ed9a6a2ed8d2091b1288f9deed251468aa01369c
SHA512: 19724aa1bde0a0ed0cce60ea3086f95790a1e0448c860d0feeffee45ac559e0392ca25761a72c573fd3a9d085ae67e8f1bb730e79874158c804a6f515acf5c47
Homepage: https://cran.r-project.org/package=rdryad
Description: CRAN Package 'rdryad' (Access for Dryad Web Services)
 Interface to the Dryad "Solr" API, their "OAI-PMH" service, and fetch
 datasets. Dryad (<https://datadryad.org/>) is a curated host of data
 underlying scientific publications.

Package: r-cran-rdsm
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigmemory
Suggests: r-cran-synchronicity
Filename: pool/dists/focal/main/r-cran-rdsm_2.1.1-1.ca2004.1_all.deb
Size: 131148
MD5sum: 2c9b672d247f1808fc5245dbde67a353
SHA1: 714315739219250be0eee023dcb39dac33a58670
SHA256: b801688db479f963f4aae4f2e8372da9063dfd84317224d0cd95a56103db39a8
SHA512: fc4e1b3f70e0b57397de1fbd2154d00fc9abd56caee1d403c7a7394cd43465495ad5b342158bb0368a37c0c6f77d1426186cdc583bc2e05f4d94eeff7382fa69
Homepage: https://cran.r-project.org/package=Rdsm
Description: CRAN Package 'Rdsm' (Threads Environment for R)
 Provides a threads-type programming environment for R.  The package gives
 the R programmer the clearer, more concise shared memory world view, and in
 some cases gives superior performance as well.  In addition, it enables
 parallel processing on very large, out-of-core matrices.

Package: r-cran-rdss
Architecture: all
Version: 1.0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1688
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-generics, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-dataverse, r-cran-readr, r-cran-broom, r-cran-purrr, r-cran-estimatr, r-cran-randomizr
Suggests: r-cran-testthat, r-cran-rdrobust, r-cran-didmultiplegt, r-cran-broom.mixed, r-cran-marginaleffects, r-cran-grf, r-cran-causalqueries, r-cran-metafor, r-cran-cjoint, r-cran-lme4, r-cran-rstanarm, r-cran-spdep, r-cran-declaredesign, r-cran-curl
Filename: pool/dists/focal/main/r-cran-rdss_1.0.14-1.ca2004.1_all.deb
Size: 1650444
MD5sum: 3ab84d4d96c5629b1147af43ac5d2359
SHA1: 056545fef78d933d6e2e9ba533c3976d93b45224
SHA256: 2616c433abe03190b464f31f4e7152750e438aba32c1ed25e1eca3404b5e1ca7
SHA512: 68b66d52527c0740ff32ee38b10fdcea3c0b2d16da0ca3bd2ed4e9cc6d13456d208f347c569252d167348779cc54755c1f38af6218d18caa68c95bd971545f92
Homepage: https://cran.r-project.org/package=rdss
Description: CRAN Package 'rdss' (Companion Datasets and Functions for Research Design in theSocial Sciences)
 Helper functions to accompany the Blair, Coppock, and Humphreys (2022)
 "Research Design in the Social Sciences: Declaration, Diagnosis, and
 Redesign" <https://book.declaredesign.org>. 'rdss' includes datasets, helper
 functions, and plotting components to enable use and replication of the
 book.

Package: r-cran-rdstk
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-rjson, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rdstk_1.1-1.ca2004.1_all.deb
Size: 39460
MD5sum: 14c8525060422dc4ee60b39dd5af5129
SHA1: 7c29eedd2a420750cf496317752d7c3650bf978e
SHA256: 0adb4bf91c3eae3c1e31901357823043f68f68e252cf93db6f358a8507af6a14
SHA512: 7c2251b951485c41223076166748a6c125b832d89b87329aa67f7c58138c0ccf779376a51ae0e0c9663adfcb8c32d4f74384e7e9a1d75e32ebaec180c41671ff
Homepage: https://cran.r-project.org/package=RDSTK
Description: CRAN Package 'RDSTK' (An R wrapper for the Data Science Toolkit API)
 This package provides an R interface to Pete Warden's Data Science Toolkit.
 See www.datasciencetoolkit.org for more information.  The source code for
 this package can be found at github.com/rtelmore/RDSTK Happy hacking!

Package: r-cran-rdstreeboot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rdstreeboot_1.0-1.ca2004.1_all.deb
Size: 59256
MD5sum: 134783e8bd4e9f5134cc8eb90932816e
SHA1: 75899cdda35d36284350550795a0edee3f6ecba3
SHA256: d02130c8c33c71b208c26bf1fda2069243b6839d192827a25b723af94af7a36f
SHA512: 97f1c37e4cf417399cb0fd3bde8e41a94388b00a27af58725bad63b7851db46162ceabef2e5777042dc3fc603070d23dc402264309810115c13ada696615c4ee
Homepage: https://cran.r-project.org/package=RDStreeboot
Description: CRAN Package 'RDStreeboot' (RDS Tree Bootstrap Method)
 A tree bootstrap method for estimating uncertainty in respondent-driven
 samples (RDS). Quantiles are estimated by multilevel resampling in such a
 way that preserves the dependencies of and accounts for the high variability
 of the RDS process.

Package: r-cran-rdta
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mcmcpack, r-cran-mvtnorm, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-rdta_1.0.1-1.ca2004.1_all.deb
Size: 37664
MD5sum: 7f706d3122242fd42270dea1f8b57958
SHA1: 2c5314b99f5d980930370610ad466e8db91be79a
SHA256: 3781c49b867856cdfabc841a48e8965860b0556418fa459762706181a08e214c
SHA512: bfa7b67a59f385648361e0b5a114ca054d43787da89c0e2af62bfb40d9b30bdd10b7a47b523a57da4278f803d0f8491a04aefad906805fd008a443c908fb8829
Homepage: https://cran.r-project.org/package=Rdta
Description: CRAN Package 'Rdta' (Data Transforming Augmentation for Linear Mixed Models)
 We provide a toolbox to fit univariate and multivariate linear mixed models
 via data transforming augmentation. Users can also fit these models via
 typical data augmentation for a comparison. It returns either maximum
 likelihood estimates of unknown model parameters (hyper-parameters) via an
 EM algorithm or posterior samples of those parameters via MCMC. Also see Tak
 et al. (2019) <doi:10.1080/10618600.2019.1704295>.

Package: r-cran-rdtlite
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-digest, r-cran-gtools, r-cran-jsonlite, r-cran-knitr, r-cran-provviz, r-cran-rlang, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-stringi, r-cran-xml
Suggests: r-cran-ggplot2, r-cran-provsummarizer, r-cran-roxygen2, r-cran-testthat, r-cran-vroom
Filename: pool/dists/focal/main/r-cran-rdtlite_1.4-1.ca2004.1_all.deb
Size: 331344
MD5sum: b9d2bf1636958a952f75cdacd4c52d97
SHA1: dce14cda8cbdb6c219f5e8fcc36fa94402da7ffb
SHA256: 9d3f5aa80f32ce783cd7a52a83dd4179a08a3691be17ceaee80b01358e662e05
SHA512: 44c52f527a89a43c737239389e35579f492df1e465c4f60df6efc57faa3d6fc5a5e20f0440d368eb9d630a7b8ff69d9f59368f4539cffed50f0381dee36ed045
Homepage: https://cran.r-project.org/package=rdtLite
Description: CRAN Package 'rdtLite' (Provenance Collector)
 Defines functions that can be used to collect provenance as an 'R' script
 executes or during a console session. The output is a text file in
 'PROV-JSON' format.

Package: r-cran-rduino
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-serial
Filename: pool/dists/focal/main/r-cran-rduino_0.1-1.ca2004.1_all.deb
Size: 24404
MD5sum: 55ba9ff1af42ec19cac41b1c39b336db
SHA1: 9f79898058de466f283d34a0198fc0242a6b8621
SHA256: 9c0a3f0130a2d6d0b55921765f49d08a35050417b1428543e362f27d49aaf7b4
SHA512: 6b5ba55d05404bdd37660f53d4a98fb0fba714892532d04e994f390644ff560cf98ef1932f8fee7092e25df3084197ea54e0dd65240a1edf0628fde98de001e4
Homepage: https://cran.r-project.org/package=Rduino
Description: CRAN Package 'Rduino' (A Microcontroller Interface)
 Functions for connecting to and interfacing with an 'Arduino' or similar
 device. Functionality includes uploading of sketches, setting and reading
 digital and analog pins, and rudimentary servo control. This project is not
 affiliated with the 'Arduino' company, <https://www.arduino.cc/>.

Package: r-cran-rduinoiot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-cli, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rduinoiot_0.1.0-1.ca2004.1_all.deb
Size: 547720
MD5sum: 5d822589bf99cc3e5552ff1dbc5f422b
SHA1: a576e5f6494f9244b10af8112c2b0d44bedbed44
SHA256: 98d10e83bb869f82e5a5ebad958974f5912586cb06ba7f724be3b9bbad6ddff6
SHA512: c1e85d67cdfc833d60397b88553a67b5153dfbcf57fb896cafad5f51ba234b2fd651c76f12dea707de6c0ba28e8743f22d95430112c979a18ca9b51b0160ecad
Homepage: https://cran.r-project.org/package=Rduinoiot
Description: CRAN Package 'Rduinoiot' ('Arduino Iot Cloud API' R Client)
 Easily interact with the 'Arduino Iot Cloud API'
 <https://www.arduino.cc/reference/en/iot/api/>, managing devices, things,
 properties and data.

Package: r-cran-rdune
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4851
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rdune_1.1.1-1.ca2004.1_all.deb
Size: 4818408
MD5sum: dbde0b500d3c7b4a213f7df1b68ed416
SHA1: f25d4a19d7cbbb8269c738b318f6efe7fbdd93a1
SHA256: 31bba2a0f9aef30e157582565936d28b9eda535c41a5d718366e3d6ef867bf12
SHA512: 1432f777fff147370cca0db449d295c6a3884ba22c6d7c642d89e94983bbb011ea16838fba0f4286c97dec4a21d12dac4969febe896d07f15c2763229fc8584b
Homepage: https://cran.r-project.org/package=Rdune
Description: CRAN Package 'Rdune' ('Creates Color Palettes Inspired by Dune')
 Enables the use of color palettes inspired by the 'Dune' movies. These
 palettes are compatible with 'ggplot2'. See Wickham (2016)
 <doi:10.1007/978-3-319-24277-4> for more details on 'ggplot2'.

Package: r-cran-rdwd
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6664
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-berryfunctions, r-cran-pbapply
Suggests: r-cran-rcurl, r-cran-leaflet, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-devtools, r-cran-remotes, r-cran-bit64, r-cran-data.table, r-cran-osmscale, r-cran-r.utils, r-cran-ncdf4, r-cran-readr, r-cran-dwdradar, r-cran-xml, r-cran-terra, r-cran-stars, r-cran-shiny, r-cran-gsheet
Filename: pool/dists/focal/main/r-cran-rdwd_1.8.0-1.ca2004.1_all.deb
Size: 4633644
MD5sum: 66bc1884cbc7d1f30fc4c19b529afdfb
SHA1: abae0b8622f14f982f730dab6c12d9b3a9d4347c
SHA256: f8dc7fbb1d57469ef02bbe1968394fd4e2ec55309e3a0856b28e74074e9e4cca
SHA512: 36eda7a9c6f4418e016fb4c4cc81ca8d2c08dee16a4bdaa29f39750a215cc335ea4aa61b2cc00fa59b3e394c2daab6b50ae62c1fe3e12d6b48159ace587ca553
Homepage: https://cran.r-project.org/package=rdwd
Description: CRAN Package 'rdwd' (Select and Download Climate Data from 'DWD' (German WeatherService))
 Handle climate data from the 'DWD' ('Deutscher Wetterdienst', see
 <https://www.dwd.de/EN/climate_environment/cdc/cdc_node_en.html> for more
 information).  Choose observational time series from meteorological stations
 with 'selectDWD()'.  Find raster data from radar and interpolation according
 to <https://bookdown.org/brry/rdwd/raster-data.html>.  Download (multiple)
 data sets with progress bars and no re-downloads through 'dataDWD()'.  Read
 both tabular observational data and binary gridded datasets with
 'readDWD()'.

Package: r-cran-rdwplus
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rgrass, r-cran-stars, r-cran-sf, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rdwplus_1.0.1-1.ca2004.1_all.deb
Size: 600548
MD5sum: fc6a52274e52683a0f48ead2c50b8a57
SHA1: fabed759c1ae2da29bccfdaa562eda37c290e866
SHA256: 4c64081ebffd211831e0f60b5092aa785bd264e72547c39d7a8d06554ea8832e
SHA512: 1dad02a5ec74edc4904702c097c91633b8221be1bfb578f1c98c649fb8dea78554c32a439f74985200d9f840ee31bdcb8797375bccbd269fd193f0ad07bcfe4a
Homepage: https://cran.r-project.org/package=rdwplus
Description: CRAN Package 'rdwplus' (Inverse Distance Weighted Percent Land Use for Streams)
 Compute spatially explicit land-use metrics for stream survey sites in GRASS
 GIS and R as an open-source implementation of IDW-PLUS (Inverse Distance
 Weighted Percent Land Use for Streams). The package includes functions for
 preprocessing digital elevation and streams data, and one function to
 compute all the spatially explicit land use metrics described in Peterson et
 al. (2011) <doi:10.1111/j.1365-2427.2010.02507.x> and previously implemented
 by Peterson and Pearse (2017) <doi:10.1111/1752-1688.12558> in ArcGIS-Python
 as IDW-PLUS.

Package: r-cran-re
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-re_0.1.0-1.ca2004.1_all.deb
Size: 36968
MD5sum: cc71f5a8e3872bf66cd1ef71007b0c2c
SHA1: e18a27a2b646fad90aa78f1d4fc4a28988e3dbca
SHA256: b7f472697c2a4ea8b6687f5742607b0e13e25cbcbd49f94d596dc5a72d818b73
SHA512: 9881f73b48bd3e6a8cf48b7a23b64f99fa6bfe64d039a746e9bda0dfacc2ccc77534c6fb1ede9a9c6bc7a79fcec9477ba2cbbac814ddc0fda1263eeed07ef287
Homepage: https://cran.r-project.org/package=re
Description: CRAN Package 're' ('Python' Style Regular Expression Functions)
 A comprehensive set of regular expression functions based on those found in
 'Python' without relying on 'reticulate'. It provides functions that intend
 to (1) make it easier for users familiar with 'Python' to work with regular
 expressions, (2) reduce the complexity often associated with regular
 expressions code, (3) and enable users to write more readable and
 maintainable code that relies on regular expression-based pattern matching.

Package: r-cran-reacnorm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2277
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cubature, r-cran-stringi, r-cran-matrixstats
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-reacnorm_0.2.1-1.ca2004.1_all.deb
Size: 2135384
MD5sum: f2a174560d4b8fdfb49e8d15d5344900
SHA1: fc65201622d75be7e122e48feecc41c20245fd59
SHA256: 52bb2ed1e8a19df59c3843ac5853e5d95170ddc603ca2435d34abb57f3791d63
SHA512: 5791c3f25f08aeb751ced512fe5d133ec99ed06e2d10db9b2e40f7523044330f7b8fdfd71ea23b92548d7e18237693c1301bb6d7b73091e8fd7ee2abc9813369
Homepage: https://cran.r-project.org/package=Reacnorm
Description: CRAN Package 'Reacnorm' (Perform a Partition of Variance of Reaction Norms)
 Partitions the phenotypic variance of a plastic trait, studied through its
 reaction norm. The variance partition distinguishes between the variance
 arising from the average shape of the reaction norms (V_Plas) and the
 (additive) genetic variance . The latter is itself separated into an
 environment-blind component (V_G/V_A) and the component arising from
 plasticity (V_GxE/V_AxE). The package also provides a way to further
 partition V_Plas into aspects (slope/curvature) of the shape of the average
 reaction norm (pi-decomposition) and partition V_Add (gamma-decomposition)
 and V_AxE (iota-decomposition) into the impact of genetic variation in the
 reaction norm parameters. Reference: de Villemereuil & Chevin (2025)
 <doi:10.32942/X2NC8B>.

Package: r-cran-react
Architecture: all
Version: 2024.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-react_2024.1.0-1.ca2004.1_all.deb
Size: 11772
MD5sum: 4a1b5927a4c312f29f81fc7f6f899ea4
SHA1: 3f69721563607482b7d5f447d6e42e6590b275cc
SHA256: b41ad40300c03fb8c26714a5af49b48eae1aeef61d5223e853de1c021644a4b3
SHA512: 14a305a6b2fe563aa4b953a2e201e5ffeac795be2aa5e5eb476a447babe5502dfe4944043072ebfe825dc3861f27f9845da784b299d28ce1ccdf8430a726912d
Homepage: https://cran.r-project.org/package=react
Description: CRAN Package 'react' (Reactivity Helper for 'shiny')
 Tools to help with 'shiny' reactivity. The 'react' object offers an
 alternative way to call reactive expressions to better identify them in the
 server code.

Package: r-cran-reactable.extras
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-htmltools, r-cran-purrr, r-cran-reactable, r-cran-rjson, r-cran-rlang, r-cran-shiny
Suggests: r-cran-covr, r-cran-lintr, r-cran-mockery, r-cran-rcmdcheck, r-cran-shinytest2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reactable.extras_0.2.1-1.ca2004.1_all.deb
Size: 176160
MD5sum: 9595c7f61dff08ec81419448d7a8e431
SHA1: 12b0ae04a9a1166d8491bf8471aaa14fdb07f543
SHA256: 873d82c6b63928d1ea9b2f6a062d64fe3e98b3aea075bbabb235165ec7c21e04
SHA512: 049446a35fca372ff81b6a1974fad877654150fa94ac4ab4434a19eea917a53ad254693b0c6f503badf96716a6f06844db74b86e8d68e07b90ac10d2296ccd04
Homepage: https://cran.r-project.org/package=reactable.extras
Description: CRAN Package 'reactable.extras' (Extra Features for 'reactable' Package)
 Enhanced functionality for 'reactable' in 'shiny' applications, offering
 interactive and dynamic data table capabilities with ease.  With
 'reactable.extras', easily integrate a range of functions and components to
 enrich your 'shiny' apps and facilitate user-friendly data exploration.

Package: r-cran-reactable
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-reactr
Suggests: r-cran-covr, r-cran-crosstalk, r-cran-dplyr, r-cran-fontawesome, r-cran-knitr, r-cran-leaflet, r-cran-mass, r-cran-rmarkdown, r-cran-shiny, r-cran-sparkline, r-cran-testthat, r-cran-tippy, r-cran-v8
Filename: pool/dists/focal/main/r-cran-reactable_0.4.4-1.ca2004.1_all.deb
Size: 747608
MD5sum: ddbd603977bfb2ab74f18c89aa9c69ac
SHA1: e4810fcaae990ae458edbf12a4bfc72c644be8f9
SHA256: 3e1c0fa131ee10876a53b2272a0dfd356e1fc648f0a250015da0d3f4414fa72a
SHA512: b25df1c3d57977148a5320c3cc17fe7a15c070e0d3f8b76d87c8b96f593ca5336af4cabb18853853cc6b48f48d7b5a59fe968e292aaa17bf029150a3ca794a86
Homepage: https://cran.r-project.org/package=reactable
Description: CRAN Package 'reactable' (Interactive Data Tables for R)
 Interactive data tables for R, based on the 'React Table' JavaScript
 library. Provides an HTML widget that can be used in 'R Markdown' or
 'Quarto' documents, 'Shiny' applications, or viewed from an R console.

Package: r-cran-reactablefmtr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reactable, r-cran-dplyr, r-cran-htmltools, r-cran-htmlwidgets, r-cran-magrittr, r-cran-purrr, r-cran-sass, r-cran-shiny, r-cran-stringr, r-cran-webshot
Suggests: r-cran-mass, r-cran-scales
Filename: pool/dists/focal/main/r-cran-reactablefmtr_2.0.0-1.ca2004.1_all.deb
Size: 397608
MD5sum: af691b96b910e87e8c797f37053258b3
SHA1: d673ffa221ea9f87146ea1d3f4f46f6a9c13e4cb
SHA256: 41877ddc2bb05e53968d48eb571ce6d027523f3af709fe93f9cb5939e95c59c5
SHA512: 93272a1bf921f09086e12d83be44475aec635f7e273ac7c041a6c6715ff0ccbd2adcb448ed4e62ec69427c8347b9726a2cbc3f191477d5fcca766127cbb62dbb
Homepage: https://cran.r-project.org/package=reactablefmtr
Description: CRAN Package 'reactablefmtr' (Streamlined Table Styling and Formatting for Reactable)
 Provides various features to streamline and enhance the styling of
 interactive reactable tables with easy-to-use and highly-customizable
 functions and themes.  Apply conditional formatting to cells with data bars,
 color scales, color tiles, and icon sets. Utilize custom table themes
 inspired by popular websites such and bootstrap themes. Apply sparkline line
 & bar charts (note this feature requires the 'dataui' package which can be
 downloaded from <https://github.com/timelyportfolio/dataui>).  Increase the
 portability and reproducibility of reactable tables by embedding images from
 the web directly into cells. Save the final table output as a static image
 or interactive file.

Package: r-cran-reactcheckbox
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 589
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-reactr
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-reactcheckbox_1.0.0-1.ca2004.1_all.deb
Size: 99880
MD5sum: a5e3472e883a46e663f595a3dd6eb026
SHA1: 35d4dab7c127f90ab43a913447f6e16d0ef541e4
SHA256: 0d9d0d8b555e5db42ab8f93120aa524770aedd274945a8429796f5afab7b2f44
SHA512: 2c150a31c0d391433846c93c86dd88626c28946f5f9d4e7507a5308e3d105a748c364884b8f39ddb6b0091215901024f047feb77f92856150c585bec7772fa87
Homepage: https://cran.r-project.org/package=reactCheckbox
Description: CRAN Package 'reactCheckbox' (Checkbox Group Input for 'Shiny')
 Provides a checkbox group input for usage in a 'Shiny' application. The
 checkbox group has a head checkbox allowing to check or uncheck all the
 checkboxes in the group. The checkboxes are customizable.

Package: r-cran-reactlog
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3501
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-shiny, r-cran-fontawesome, r-cran-knitr, r-cran-rmarkdown, r-cran-htmltools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reactlog_1.1.1-1.ca2004.1_all.deb
Size: 1663628
MD5sum: 0c31bdd2182037437d97c68eadd89aeb
SHA1: 708d9f7508b8f12f49826c281c80b8a4237abcb8
SHA256: 5d5fef7f444ad1ace125866e4ba097b7cc1406dfa9343814f6683d72a3cad815
SHA512: 1ea4aacb159d328d7bedf73b8e0fa200ee78fa8779f07db364be7d819f06238a4e61c7449d2f29d7d74b7cfd6cda37a1218da9998ecf41a61ee23de09123265a
Homepage: https://cran.r-project.org/package=reactlog
Description: CRAN Package 'reactlog' (Reactivity Visualizer for 'shiny')
 Building interactive web applications with R is incredibly easy with
 'shiny'. Behind the scenes, 'shiny' builds a reactive graph that can quickly
 become intertwined and difficult to debug. 'reactlog' (Schloerke 2019)
 <doi:10.5281/zenodo.2591517> provides a visual insight into that black box
 of 'shiny' reactivity by constructing a directed dependency graph of the
 application's reactive state at any time point in a reactive recording.

Package: r-cran-reactr
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Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1732
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools
Suggests: r-cran-htmlwidgets, r-cran-rmarkdown, r-cran-shiny, r-cran-v8, r-cran-knitr, r-cran-usethis, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-reactr_0.6.1-1.ca2004.1_all.deb
Size: 468636
MD5sum: 027852c9fec2261526de896da27ed0a9
SHA1: 05adb7bd0a8446a53ad6c59713ca06563ab54165
SHA256: a3d711b74906266d6eaabeace2613259ff15c06defdd407716722b48e9cf949a
SHA512: d17b2c5b8b764171c78598ad19c910bc1febcecdbb648f18956557f15ef6d5aa22cf5f594e605c53adf142fe57b50135114f22a4878633d51fecaac225a7cb03
Homepage: https://cran.r-project.org/package=reactR
Description: CRAN Package 'reactR' (React Helpers)
 Make it easy to use 'React' in R with 'htmlwidget' scaffolds, helper
 dependency functions, an embedded 'Babel' 'transpiler', and examples.

Package: r-cran-reactrouter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-shiny.react, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-chromote, r-cran-shinytest2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-reactrouter_0.1.0-1.ca2004.1_all.deb
Size: 210772
MD5sum: 17552e86ba32ac822885f4fcf1bc5113
SHA1: 8fd77474da1482b3d1044c10c0c4b0cf2d8b8394
SHA256: cdd5fbe9d1f8f072e5d3aebbeac59177f6a1e7cab8c13fc3fb04001015434794
SHA512: cd05094c07772c6c83a4d62859497214e17f3d09b806cd321bf28ecdca4d14c12c3115ae7114c974052d5f974aa87756592ba3227054bc77860ed62b5f34d254
Homepage: https://cran.r-project.org/package=reactRouter
Description: CRAN Package 'reactRouter' ('React Router' for 'shiny' Apps and 'Quarto')
 You can easily share url pages using 'React Router' in 'shiny' applications
 and 'Quarto' documents. The package wraps the 'react-router-dom' 'React'
 library and provides access to hash routing to navigate on multiple url
 pages.

Package: r-cran-read.gb
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rentrez
Filename: pool/dists/focal/main/r-cran-read.gb_2.2-1.ca2004.1_all.deb
Size: 181392
MD5sum: c46bd9d132e3229cffe396fe855a0b3a
SHA1: ea2622a43658021d4ff3fee9a7215c9b37631663
SHA256: c2d14cef4b2e894d441d249c362275a3df0ab3667234aaa66cce8809897c5350
SHA512: 404046ad81103e79e3935d363bb31a06c27f8708e219fee83fe3540fa2ad952bd7e7b06c73246a5569ed054e53e462f32b6c0296be770c7af08df23986bf78c6
Homepage: https://cran.r-project.org/package=read.gb
Description: CRAN Package 'read.gb' (Open GenBank Files)
 Opens complete record(s) with .gb extension from the NCBI/GenBank Nucleotide
 database and returns a list containing shaped record(s). These kind of files
 contains detailed records of DNA samples (locus, organism, type of sequence,
 source of the sequence...). An example of record can be found at
 <https://www.ncbi.nlm.nih.gov/nuccore/HE799070>.

Package: r-cran-readabf
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Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readabf_1.0.2-1.ca2004.1_all.deb
Size: 101628
MD5sum: 3c88fb44f9d0a7fb3e3e4136378a471f
SHA1: 58de42b820f2106c7882d6684303801577beb67a
SHA256: 06bb9f452bb6296ae78f6f76239a26ff31f347a1f33345824171118391a0706a
SHA512: 9734a4e0a3e89d0cb499c29729d1c6ab907025d23b22a8176f775a4f16eee0fb3edadca73b5e712e0cb1d95649435f3102e1dc52381897afd9a88bafba27e5ca
Homepage: https://cran.r-project.org/package=readABF
Description: CRAN Package 'readABF' (Loads Axon Binary Files)
 Loads Axon Binary Files (both 'ABF' and 'ABF2') created by Axon
 Instruments/Molecular Devices software such as 'pClamp'.

Package: r-cran-readabs
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Version: 0.4.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2683
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-readxl, r-cran-dplyr, r-cran-hutils, r-cran-fst, r-cran-purrr, r-cran-tidyr, r-cran-stringi, r-cran-glue, r-cran-httr, r-cran-rvest, r-cran-xml2, r-cran-rlang, r-cran-labelled
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-readabs_0.4.19-1.ca2004.1_all.deb
Size: 2473596
MD5sum: 53c60bbf2f6c4d535da5762182e7d04c
SHA1: 886b555007483d312e9e1d10ee012f704b84737c
SHA256: 1b35c28b06279bc0f6f9039980d829c44b6cb03d3e5004975ca92114b2e0ac62
SHA512: 32793a64c2efbdb8f04aecd6e5d483bbd7b0dfc652f63aefdebfddd8ea8c94975a8e43bf8e4fa58ed8aba6bc57ee1a7b9870cb0361d25a71f5f090a40267eac2
Homepage: https://cran.r-project.org/package=readabs
Description: CRAN Package 'readabs' (Download and Tidy Time Series Data from the Australian Bureau ofStatistics)
 Downloads, imports, and tidies time series data from the Australian Bureau
 of Statistics <https://www.abs.gov.au/>.

Package: r-cran-readapra
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Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-lubridate, r-cran-memoise, r-cran-polite, r-cran-purrr, r-cran-ratelimitr, r-cran-rlang, r-cran-robotstxt, r-cran-rvest, r-cran-stringdist, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-tidyxl
Suggests: r-cran-openxlsx, r-cran-readr, r-cran-testthat, r-cran-webmockr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-readapra_0.2.1-1.ca2004.1_all.deb
Size: 234656
MD5sum: 234e7bfe93ae750815d981f061f2da7e
SHA1: 96262f762de6c08f9674ad69a76e6f293ea953ef
SHA256: c3adb0e8b461f7aa0e7c6f57a77db7f30ddd1f0d5e5c983d3cde80d786e0e9f5
SHA512: 42cc8e57062fb8af182cae2371d265b405b900e6ff688b154b7e1e0aa1f3b2ef02b6e794d5439d3307f6b7375e03ca9fb1ff51fa64fee58608de452ec65d7e5d
Homepage: https://cran.r-project.org/package=readapra
Description: CRAN Package 'readapra' (Download and Tidy Data from the Australian Prudential RegulationAuthority)
 Download the latest data from the Australian Prudential Regulation Authority
 <https://www.apra.gov.au/> and import it into R as a tidy data frame.

Package: r-cran-readbitmap
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Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bmp, r-cran-jpeg, r-cran-png, r-cran-tiff
Suggests: r-cran-pixmap, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readbitmap_0.1.5-1.ca2004.1_all.deb
Size: 18172
MD5sum: 35f31f49444d0b721a3954015958804a
SHA1: 58d3b6b63fe791c367fd21ae17cffe2b2b590b22
SHA256: 28591c1cd7dbe4e24a4521af35e9b39a93f1285c6f731830fd125deed56ee045
SHA512: fc190dfae1320aacf2333c70ca8868e175b16c06528bb3aa71a6a6c7dde055374eb988c497ff1fc1db58621dc26aa3bb662ac9ee282c56f0fb5e6daa2df87c5f
Homepage: https://cran.r-project.org/package=readbitmap
Description: CRAN Package 'readbitmap' (Simple Unified Interface to Read Bitmap Images(BMP,JPEG,PNG,TIFF))
 Identifies and reads Windows BMP, JPEG, PNG, and TIFF format bitmap images.
 Identification defaults to the use of the magic number embedded in the file
 rather than the file extension. Reading of JPEG and PNG image depends on
 libjpg and libpng libraries. See file INSTALL for details if necessary.

Package: r-cran-readbrukerflexdata
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Priority: optional
Section: gnu-r
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Installed-Size: 1089
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readbrukerflexdata_1.9.3-1.ca2004.1_all.deb
Size: 312084
MD5sum: 30073fd02af56ca9599514f672100ef7
SHA1: 54d041740d8e922fef74ce011cb955ebc635d1d3
SHA256: cbed9f66889857b9f3fd14aae0a6dce7db5adccd7b51a151f3ba13985b6ff876
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Homepage: https://cran.r-project.org/package=readBrukerFlexData
Description: CRAN Package 'readBrukerFlexData' (Reads Mass Spectrometry Data in Bruker *flex Format)
 Reads data files acquired by Bruker Daltonics' matrix-assisted laser
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Package: r-cran-readbulk
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Priority: optional
Section: gnu-r
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Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr
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Size: 21044
MD5sum: 9dd34171db870b60048cc8c913b62bee
SHA1: 1eb9230a1548d53c6c1240eacd409838c7133edd
SHA256: 64619536c5c5937bcd5e10f9d3a9be887646828ef142e65523c3f6af7f5cc5d5
SHA512: 9b2db01e7f4d1b8031c514ab4cb5a8297c329f878d198ad88e6c217a58b7be9e49575c0ec35adbf6686c16528780f2648db43917488080817c1529f4cca0a72f
Homepage: https://cran.r-project.org/package=readbulk
Description: CRAN Package 'readbulk' (Read and Combine Multiple Data Files)
 Combine multiple data files from a common directory.  The data files will be
 read into R and bound together, creating a single large data.frame. A
 general function is provided along with a specific function for data that
 was collected using the open-source experiment builder 'OpenSesame'
 <https://osdoc.cogsci.nl/>.

Package: r-cran-readdim
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Version: 0.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
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Installed-Size: 3523
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-stringr
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Size: 941104
MD5sum: 4ac50341b36a30ac1d43c3403fe4b218
SHA1: 3ec38ad95b3877eee9ac2ced6ad0ea6759fd629a
SHA256: ad86d4b3c6999bb39873f79268777ec4b9059477b7b810e3d44ca9f8d13e1ac4
SHA512: b0972fd066036c99d8a96f70bac8ce7d5fd86b022c15248f3a90785054ef67e4b87f8e6861fb3f70d35369fde18491535747ff94079b6957e1a86698121ac0de
Homepage: https://cran.r-project.org/package=ReadDIM
Description: CRAN Package 'ReadDIM' (Read ESA SNAP Processed Raster Format in R)
 It helps you to read (.dim) images with CRS directly into R programming. One
 can import both Sentinel 1 and 2 images or any processed data with this
 software.

Package: r-cran-reader
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Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ncmisc
Filename: pool/dists/focal/main/r-cran-reader_1.0.6-1.ca2004.1_all.deb
Size: 108244
MD5sum: 05514b5666a21412bd811dc39c7854bb
SHA1: 7a23b86b67ac1c027543309568ebbce64dacd53a
SHA256: 4582faca5b179642fae137ecfc2de16b1b9d1680393a0ccf88971801dea67620
SHA512: 5127ca1b15429af03acd088329d9aa1c8f779342045fa0a05e93d504ecee950b941343334f10bed4ae51a6439964fc870ba4515819a80ee7cbd4fb0ae8b1fcfa
Homepage: https://cran.r-project.org/package=reader
Description: CRAN Package 'reader' (Suite of Functions to Flexibly Read Data from Files)
 A set of functions to simplify reading data from files. The main function,
 reader(), should read most common R datafile types without needing any
 parameters except the filename. Other functions provide simple ways of
 handling file paths and extensions, and automatically detecting file format
 and structure.

Package: r-cran-readhac
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4836
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-readhac_1.0-1.ca2004.1_all.deb
Size: 1872164
MD5sum: c5b468647362275923fba9e5fd437263
SHA1: c7ea56144117d14e4f4c2cf3ffe8075572bafbc5
SHA256: 0996435b055e867f78dd56fc78eebbd90d82541363ba59ec0b5a22969291c622
SHA512: e576dc73396bc27a5ae179344f84e9b770dab015a04e0aa189c12328e00189b7ac2294879142fdfd0e78037f6970be7443f1430aa65f4343951680e0c085ca3a
Homepage: https://cran.r-project.org/package=readHAC
Description: CRAN Package 'readHAC' (Read Acoustic HAC Format)
 Read Acoustic HAC format.

Package: r-cran-readit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-haven, r-cran-jsonlite, r-cran-readxl
Suggests: r-cran-devtools, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readit_1.0.0-1.ca2004.1_all.deb
Size: 37104
MD5sum: 47acd280f4561196a54a729f5566404d
SHA1: 1b157683cb2ba68f4e1d27b8d1ed4583112c0ef8
SHA256: fa7b2d53bf85fb9edea66e5f7da9cb953decf7ac965ceee27fbcb681e9bf8f22
SHA512: 2e5e6a160cd79ed76e74e1874fbded97a912d9184951b5be414f4f84cf12121d6b8388563267ca26eeb48bfb5a97e4ec9d12fff5ced853c4911f965ac3f034e1
Homepage: https://cran.r-project.org/package=readit
Description: CRAN Package 'readit' (Effortlessly Read Any Rectangular Data)
 Providing just one primary function, 'readit' uses a set of reasonable
 heuristics to apply the appropriate reader function to the given file path.
 As long as the data file has an extension, and the data is (or can be
 coerced to be) rectangular, readit() can probably read it.

Package: r-cran-readjdx
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2664
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-mvbutils
Filename: pool/dists/focal/main/r-cran-readjdx_0.6.4-1.ca2004.1_all.deb
Size: 625980
MD5sum: b8afd3f6de90a37ac438574ce01aa5ee
SHA1: 753ac8dce92a51702f72a92dd2d5465c71d694a2
SHA256: fca4af6724c70e18397055beeb9036c0d36a8ba854480b25d9fd20f54aac7312
SHA512: 6e9892f5574a21a1d3ff73d09e37a5c02b5fbb4f9c383e120b0f92cbc172f594c549aac2b7ad1a1a187f34bedebe8b984d903b71ca3a1952e4ef636baeb2a53a
Homepage: https://cran.r-project.org/package=readJDX
Description: CRAN Package 'readJDX' (Import Data in the JCAMP-DX Format)
 Import data written in the JCAMP-DX format. This is an
 instrument-independent format used in the field of spectroscopy. Examples
 include IR, NMR, and Raman spectroscopy. See the vignette for background and
 supported formats.  The official JCAMP-DX site is
 <http://www.jcamp-dx.org/>.

Package: r-cran-readmdtable
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-readr, r-cran-purrr, r-cran-stringr
Suggests: r-cran-covr, r-cran-devtools, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-microbenchmark, r-cran-precommit, r-cran-rmarkdown, r-cran-rvest, r-cran-testthat, r-cran-tibble, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-readmdtable_0.3.2-1.ca2004.1_all.deb
Size: 271128
MD5sum: 7805e432da26c97a50efc51692b01d5f
SHA1: 3ef33561e79985c91319357c84fc5084482c6b0b
SHA256: db6d9c86482314bff3c9294aeda584b0272f014a12d39e6c939094aca84a800d
SHA512: 4beacb396a5b1418c11dba52eb2905303b4697ae27ac61fa522f252c0e91f5acefbc6d680d5d0dd4574c6ec0e487b50c4d9d41bab7c072ea027dd71dabc0a5d8
Homepage: https://cran.r-project.org/package=readMDTable
Description: CRAN Package 'readMDTable' (Read Markdown Tables into Tibbles)
 Efficient reading of raw markdown tables into tibbles. Designed to accept
 content from strings, files, and URLs with the ability to extract and read
 multiple tables from markdown for analysis.

Package: r-cran-readme2vignette
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desc, r-cran-fs, r-cran-glue, r-cran-knitr, r-cran-pkgbuild, r-cran-remotes, r-cran-rmarkdown, r-cran-usethis, r-cran-whisker
Filename: pool/dists/focal/main/r-cran-readme2vignette_0.1.0-1.ca2004.1_all.deb
Size: 44460
MD5sum: 1bdb6d6600fc6687554ac6ceaa65df91
SHA1: 51d98cb6a204a461cfe89c745da8b6c1a2d8a94f
SHA256: c55f400a6a715941d33bb51b249043f4a63a06c5f9924b3205f1ce423c1db9bc
SHA512: 842048498de9e44ed103fd1e28bcc185c33c65d7145baa72ed91f5bc0ae409ffd241846f97113d2829d7bca6ff17fb0f4a44ac311f7f01645d711174079f21e9
Homepage: https://cran.r-project.org/package=readme2vignette
Description: CRAN Package 'readme2vignette' (Convert README to Vignette During Package Installation)
 Convert README.md to vignettes when installing packages without vignettes.

Package: r-cran-readmet
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2244
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-readmet_1.7.1-1.ca2004.1_all.deb
Size: 186420
MD5sum: ecf15a0d6711de30120a6613385e49a6
SHA1: 54b81cceb2ff00ef5b7c9ce5f9affd8a2c99af8f
SHA256: 50601dd8d468bc6bb7414ba39e6c10fb40be1f1572fc79752a762ca43324fae9
SHA512: 602629f749c9ba3a21c6e39a7ac6ae704757e5582c5ebed101f2e94cbda326b5f23d96c8a150864784dc0e4945c36b53e10487fe947f4c188c913b76350da8ff
Homepage: https://cran.r-project.org/package=readmet
Description: CRAN Package 'readmet' (Read some less Popular Formats Used in Meteorology)
 Contains tools for reading and writing data from or to files in the formats:
 akterm, dmna, Scintec Format-1, and Campbell Scientific TOA5.

Package: r-cran-readmission
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 460
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-readmission_0.1.0-1.ca2004.1_all.deb
Size: 426732
MD5sum: 0b79ab3f985d396dfe2aefaaea8ffecf
SHA1: f8f1e33a599eaa52bc05b8ac3ba0be4a76550a0c
SHA256: 902827162d85c6439670f701fdb9392eeeac70b2c8662e5dee2964d984e46ec5
SHA512: 3a0b50ccc67bfede82f89fff077252dea0d631883b199ed5b826d0f59fdbb946ddeebbca60d991d72fe186e4f0bfc69c4440eb589f43a4beb68041cf3ff6fcec
Homepage: https://cran.r-project.org/package=readmission
Description: CRAN Package 'readmission' (Hospital Readmission Data for Patients with Diabetes)
 Clinical care data from 130 U.S. hospitals in the years 1999-2008 adapted
 from the study Strack et al. (2014) <doi:10.1155/2014/781670>.  Each row
 describes an "encounter" with a patient with diabetes, including variables
 on demographics, medications, patient history, diagnostics, payment, and
 readmission.

Package: r-cran-readmldata
Architecture: all
Version: 0.9-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-readmldata_0.9-7-1.ca2004.1_all.deb
Size: 79472
MD5sum: d5b7f77a61710861b6718c47026d3091
SHA1: 96ea171fe65d4b8d0304c2fd59a977102f53c679
SHA256: 43afd1aeba566af2b8cc503e19feb61df753d1f485aa7335abf4162f505be0dc
SHA512: 9e3be6a66bdf5c3a5d5313fc6680737ed0863bcc1a0e19b2112826a5829b208106faf88ef19bc38712eb425de272167079f999ff7baaf5515cdd839fbb017c62
Homepage: https://cran.r-project.org/package=readMLData
Description: CRAN Package 'readMLData' (Reading Machine Learning Benchmark Data Sets in DifferentFormats)
 Functions for reading data sets in different formats for testing machine
 learning tools are provided. This allows to run a loop over several data
 sets in their original form, for example if they are downloaded from UCI
 Machine Learning Repository.  The data are not part of the package and have
 to be downloaded separately.

Package: r-cran-readmnist
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-readmnist_1.0.6-1.ca2004.1_all.deb
Size: 18972
MD5sum: 663479debdb1d052d4010074204906c1
SHA1: 7970f10b0af116e8cda2075b0a5f1254fdd07ceb
SHA256: 8701140b01bc7b91f0120d84447f9ccc112b08533dfb71638693c5d1ae187077
SHA512: b5e5980c90453692798ce7b32e32bcb9db40bb4bfed4eeeeb6c71bcfdf6e6cb7232875b9c50bfc700a1d56713b921907d51ef929a8665d400f3eed6435b00a30
Homepage: https://cran.r-project.org/package=readmnist
Description: CRAN Package 'readmnist' (Read MNIST Dataset)
 You can use the function Read.mnist() to read data and arrange them properly
 from MNIST dataset (the open handwriting digit database
 <http://yann.lecun.com/exdb/mnist/>). With this package, you can
 conveniently get all of necessary informations and then immediately start to
 check whether your machine learning algorithm works well. It can
 automatically recognize the type of dataset and returns the informations in
 corresponding structure.

Package: r-cran-readmore
Architecture: all
Version: 0.2-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r.utils, r-cran-xml2, r-cran-readxl, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-readmore_0.2-15-1.ca2004.1_all.deb
Size: 68232
MD5sum: 68ce70a2d339eb29ce32ce6959eafd29
SHA1: d5a3f2ade3a0f78a19500bd649317bd578bf5915
SHA256: e9bccaf3288a7f98d1b50db0098e1c4244f546b0f9bcdd1a5533b52ec83054a4
SHA512: 4ddf86db19fd064d8a2bee2aeef5aa948b616f158979e2a7a2b6ec83f2bd64abb1c786a77caad9374876a5bb95f19c0521b68e146a4f25119537acf66ad7ac09
Homepage: https://cran.r-project.org/package=readmoRe
Description: CRAN Package 'readmoRe' (Utilities for Importing and Manipulating Biomedical Data Files)
 Tools to read various file types into one list of data structures, usually,
 but not limited to, data frames.  Excel files are read sheet-wise, i.e., all
 or a selection of sheets can be read. Field delimiters and decimal
 separators are determined automatically.

Package: r-cran-readmzxmldata
Architecture: all
Version: 2.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 567
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-base64enc, r-cran-digest, r-cran-xml
Filename: pool/dists/focal/main/r-cran-readmzxmldata_2.8.3-1.ca2004.1_all.deb
Size: 196160
MD5sum: 97cb843c83ccf000c766b9444baedbad
SHA1: 2f40c80071a1534203fd8b341eb3e08aaf1a2877
SHA256: 1f91ea4c16e7bfc39c1836db867b23353a8f4c4c5436f6e87ef71057bdde60c3
SHA512: 3c10d80b2c46f6020df68a81d078303f4c166b9af2d5b48d93712d2a2d86b6572a5cacdb0656a5896f5749eee96ea52a1989524e07261691c6157ea803b5c983
Homepage: https://cran.r-project.org/package=readMzXmlData
Description: CRAN Package 'readMzXmlData' (Reads Mass Spectrometry Data in mzXML Format)
 Functions for reading mass spectrometry data in mzXML format.

Package: r-cran-readoffice
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-readoffice_0.2.2-1.ca2004.1_all.deb
Size: 645356
MD5sum: afe7d74124c7d056b37a256e7020631d
SHA1: dcaa3849a162b8b3225b96126bb680e1a01083c1
SHA256: cefc060f03beabf9b192c0e2c694e5965d374d5c30c3bebff2d77f63497be10e
SHA512: 566bd6a8722883599a923087ed7ef8d1f03955da0d653699dfc13edd29b2b890bf44f3361fdf073415ad3f9b6f00331876dcf6566e98feae68ffc16fb0fd574b
Homepage: https://cran.r-project.org/package=readOffice
Description: CRAN Package 'readOffice' (Read Text Out of Modern Office Files)
 Reads in text from 'unstructured' modern Microsoft Office files (XML based
 files) such as Word and PowerPoint.  This does not read in structured data
 (from Excel or Access) as there are many other great packages to that do so
 already.

Package: r-cran-readrba
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1742
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-xml2, r-cran-rvest, r-cran-stringr, r-cran-httr, r-cran-lubridate
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-readrba_0.1.11-1.ca2004.1_all.deb
Size: 1359636
MD5sum: ae3af8e4e73aa5acc442b40b3025bb94
SHA1: e49a02f072c352263a464568a22947af1c63cee4
SHA256: 39ba6598f72d5a2aee7947a8af91858084439938b097d167f7335f5f16661392
SHA512: 74f51fb5c2b653f0bdc6ce6ea6f184480f605991007802e8673bb23b65b58f19e412fd82b6f2f83bd5d7de6a6d261701b3075054aab1523769bb3a083e378f3d
Homepage: https://cran.r-project.org/package=readrba
Description: CRAN Package 'readrba' (Download and Tidy Data from the Reserve Bank of Australia)
 Download up-to-date data from the Reserve Bank of Australia in a tidy data
 frame. Package includes functions to download current and historical
 statistical tables (<https://www.rba.gov.au/statistics/tables/>) and
 forecasts
 (<https://www.rba.gov.au/publications/smp/forecasts-archive.html>). Data
 includes a broad range of Australian macroeconomic and financial time
 series.

Package: r-cran-readroper
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-readroper_0.9.3-1.ca2004.1_all.deb
Size: 21308
MD5sum: 41e1df16709bf993b499bbe5dcd38c56
SHA1: fb1086e21d74e3edbfecb5edc5cb9d96f4a849e3
SHA256: 0ac49138b8d806113a54ced8d9ac6b25d2def1160cf87de9b1fdff27bdb6ca1c
SHA512: 51fc8e3c25df37a149649eef7d930765809212a0841d92df905dafde82c0496650044563c196588faa4eff626845a60a8f6b0980086a1c098edb64e725aa29b6
Homepage: https://cran.r-project.org/package=readroper
Description: CRAN Package 'readroper' (Simply Read ASCII Single and Multicard Polling Datasets)
 A convenient way to read fixed-width ASCII polling datasets from providers
 like the Roper Center <https://ropercenter.cornell.edu>.

Package: r-cran-readsdr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 746
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-xml2, r-cran-purrr, r-cran-dplyr, r-cran-rlang, r-cran-stringi, r-cran-magrittr, r-cran-desolve, r-cran-future, r-cran-future.apply, r-cran-progressr
Suggests: r-cran-testthat, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-readsdr_0.3.0-1.ca2004.1_all.deb
Size: 492316
MD5sum: cea7937a8a4d6aef86d4dcce2c5a15d7
SHA1: c58e039491bf7c948568d1cdc21682b23cacea52
SHA256: 401bbb66d948af965aa95dc663499bc8fb23d92a90a9a67d394406fa9799f697
SHA512: 92965d55f61e0ce14366c7640bfb958b8cb768be020761de4d815e69171ed7ea24c9d46a0a1ec9184cb755e30aa12ddb42159ec3185e5f727512966e3e88306b
Homepage: https://cran.r-project.org/package=readsdr
Description: CRAN Package 'readsdr' (Translate Models from System Dynamics Software into 'R')
 The goal of 'readsdr' is to bridge the design capabilities from specialised
 System Dynamics software with the powerful numerical tools offered by 'R'
 libraries. The package accomplishes this goal by parsing 'XMILE' files
 ('Vensim' and 'Stella') models into 'R' objects to construct networks (graph
 theory); 'ODE' functions for 'Stan'; and inputs to simulate via 'deSolve' as
 described in Duggan (2016) <doi:10.1007/978-3-319-34043-2>.

Package: r-cran-readsx
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-readxl, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readsx_0.8.4-1.ca2004.1_all.deb
Size: 506908
MD5sum: 7a0de284276f117cbfbe66723c6181a8
SHA1: de15c7af3e22a1d2b792aca35c60a8be7cf3bf86
SHA256: 2b9f9305176c00fefc1837052912f6aa763816101016a298607f0ff3bae9962f
SHA512: 0882b60d8ca63c5ad96e7ec1136d17b17fccce8045c2c2e5d22f675d64497f6cfd88dfa4ddf2774e49cf269384daa584401caae9c39a7a5a8520d550c7aca826
Homepage: https://cran.r-project.org/package=readSX
Description: CRAN Package 'readSX' (Read 'SurveyXact' Data)
 Imports data from the 'SurveyXact' commercial service
 <https://www.surveyxact.com/>, adds variable labels, and converts value
 labels to factors in the same order as exported from 'SurveyXact'.

Package: r-cran-readtext
Architecture: all
Version: 0.91-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2774
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-antiword, r-cran-data.table, r-cran-digest, r-cran-httr, r-cran-jsonlite, r-cran-pillar, r-cran-pdftools, r-cran-readods, r-cran-readxl, r-cran-streamr, r-cran-stringi, r-cran-striprtf, r-cran-xml2
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-quanteda, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-readtext_0.91-1.ca2004.1_all.deb
Size: 1750672
MD5sum: 0494b8516c70f1479fc7d3ea6c8549f0
SHA1: fcd263957bf79b67272ab6abfcb68b235bb271ca
SHA256: fc663e52a4cca19215bca406589a5d7811eab3f72c3ab81705963af958edf475
SHA512: ad96b9b7d7c25cdc589d55fc17ee497be8ef834baf024120407edf6a558bbe27b7e45564f59aea0c5a18393b4c3eefcff35febc4431a15c742bd4f7481eda34f
Homepage: https://cran.r-project.org/package=readtext
Description: CRAN Package 'readtext' (Import and Handling for Plain and Formatted Text Files)
 Functions for importing and handling text files and formatted text files
 with additional meta-data, such including '.csv', '.tab', '.json', '.xml',
 '.html', '.pdf', '.doc', '.docx', '.rtf', '.xls', '.xlsx', and others.

Package: r-cran-readtextgrid
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readtextgrid_0.1.2-1.ca2004.1_all.deb
Size: 52296
MD5sum: 42234558dccc8253618cf6d4de7e0c72
SHA1: e5e77ecabaf9c92ad856bdee43fceb983f54e37c
SHA256: 310f64f61343cf862f5713206877c62005d21ac50b36772952738ac462c7bdad
SHA512: b6f448633415a5e9cf3e6a4895cbf32488d283d9e6e18f8f1db52ac050a2a44c482703b5b2747bfebf6f3b390ef1c57d732956a77ca3d275331abcfdea82563b
Homepage: https://cran.r-project.org/package=readtextgrid
Description: CRAN Package 'readtextgrid' (Read in a 'Praat' 'TextGrid' File)
 'Praat' <https://www.fon.hum.uva.nl/praat/> is a widely used tool for
 manipulating, annotating and analyzing speech and acoustic data. It stores
 annotation data in a format called a 'TextGrid'. This package provides a way
 to read these files into R.

Package: r-cran-readwritesqlite
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-chk, r-cran-dbi, r-cran-hms, r-cran-lifecycle, r-cran-rsqlite, r-cran-tibble, r-cran-sf, r-cran-rlang, r-cran-glue, r-cran-crayon
Suggests: r-cran-covr, r-cran-knitr, r-cran-pool, r-cran-rmarkdown, r-cran-testthat, r-cran-withr, r-cran-units
Filename: pool/dists/focal/main/r-cran-readwritesqlite_0.2.0-1.ca2004.1_all.deb
Size: 166732
MD5sum: c3ea9bc96cb5575646cf3596f9e640da
SHA1: 6aeccc00e5a6175156ed8de619fdbf6a02dd2992
SHA256: c2958de6510fd3cbef7ad1d7169570ec018e2236e0848799b82a84b56f4dffef
SHA512: bfbe4a1c90696310e9471cf6c35cdbb23e3f8f0f6840a441ac115f223d15b13cdcc57f240ea0737f0df51cf62a0c8fc8e2e06685bc72a77153ec2b7d8d6bbfea
Homepage: https://cran.r-project.org/package=readwritesqlite
Description: CRAN Package 'readwritesqlite' (Enhanced Reading and Writing for 'SQLite' Databases)
 Reads and writes data frames to 'SQLite' databases while preserving time
 zones (for POSIXct columns), projections (for 'sfc' columns), units (for
 'units' columns), levels (for factors and ordered factors) and classes for
 logical, Date and 'hms' columns.  It also logs changes to tables and
 provides more informative error messages.

Package: r-cran-ready4
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-dataverse, r-cran-dplyr, r-cran-gh, r-cran-kableextra, r-cran-lifecycle, r-cran-magrittr, r-cran-piggyback, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyrss, r-cran-tidyselect
Suggests: r-cran-devtools, r-cran-hmisc, r-cran-knitr, r-cran-pkgload, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-zen4r
Filename: pool/dists/focal/main/r-cran-ready4_0.1.18-1.ca2004.1_all.deb
Size: 892564
MD5sum: 9ec7e0c252928f3c039ffc92dfd57dab
SHA1: a3f76b0e363c23a91c4498a4c7ba60dcc8e86e43
SHA256: 0dcc488eb6adc675e1748e7ace6711cbe4b059b251d1044ac178f37866f1deeb
SHA512: 087f72e4249b292256797e0af71aab739cfbde1e65fd14879613a21c3e8eb58bd6fa2e9d059a8f00c3451236eab7c8b90a310af8a85a004383ee936f9a753adf
Homepage: https://cran.r-project.org/package=ready4
Description: CRAN Package 'ready4' (Develop and Use Modular Health Economic Models)
 A template model module, tools to help find model modules derived from this
 template and a programming syntax to use these modules in health economic
 analyses.  These elements are the foundation for a prototype software
 framework for developing living and transferable models and using those
 models in reproducible health economic analyses. The software framework is
 extended by other R libraries.  For detailed documentation about the
 framework and how to use it visit <https://www.ready4-dev.com/>. For a
 background to the methodological issues that the framework is attempting to
 help solve, see Hamilton et al. (2024) <doi:10.1007/s40273-024-01378-8>.

Package: r-cran-readysignal
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rvest, r-cran-progress
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-readysignal_0.0.9-1.ca2004.1_all.deb
Size: 24092
MD5sum: 3cd544b350358119d3ea93134e07f8e2
SHA1: efb14f6a60235a15c98d002875293920966acdd4
SHA256: 9aa4099165ca5f60427b929677b61a6ce2a69a7d538873d0f4d590661976e04a
SHA512: 07476d1fab524a82a0cda12f4a1476664a0128c51a51e0ef2f862d0309db452d97dd5a2f434536f2cbae0c7590285cd578c09a99847a5412fd8b7c0c12fdebc4
Homepage: https://cran.r-project.org/package=readysignal
Description: CRAN Package 'readysignal' ('Ready Signal' API Wrapper)
 A simple way to interact with the 'Ready Signal' API without leaving your
 'R' environment. Discover features, manage signals, and retrieve data
 easily.  View the full API documentation at
 <https://readysignal.com/ready-signal-api-documentation/>.

Package: r-cran-realtest
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-realtest_0.2.3-1.ca2004.1_all.deb
Size: 62324
MD5sum: 71cb4ca9272f0793709b858fc9d1e981
SHA1: e2f842a5d2bf2e1c3794cbfff02e8093c68b99eb
SHA256: 94f867827a85ef90ab30ced9621c4bb7b716b378162f4d288538d95b1b6de799
SHA512: 1297504b26d316818ca80d0ef74fa3cc0c001a692c63cdfd9e8bd2f6423eaa10938c639c13796ad79211b1b4640d689222722712a815ed9ad635b640d41ea5c2
Homepage: https://cran.r-project.org/package=realtest
Description: CRAN Package 'realtest' (Where Expectations Meet Reality: Realistic Unit Testing)
 A framework for unit testing for realistic minimalists, where we distinguish
 between expected, acceptable, current, fallback, ideal, or regressive
 behaviour. It can also be used for monitoring third-party software projects
 for changes.

Package: r-cran-realtimeloads
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2425
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-imputets, r-cran-mice, r-cran-signal, r-cran-tideharmonics
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-realtimeloads_1.0.0-1.ca2004.1_all.deb
Size: 1369484
MD5sum: a54c684dad41ebe878d87b2b47785e56
SHA1: 7a0e88f1293949e8d8a7966786f17a2eea130b47
SHA256: bb81195b2b84e0f33b89c5d6b1cb09e8fbe6d27fe22d56999fc0ef31c4c2c445
SHA512: 724036594c0d466cb1baba4b2341c6203d049d81845465a4c7c35837ffab766c7d55c199fb136b10ce64c95199221c0d1d78db78254b6d139419565ff3062e4e
Homepage: https://cran.r-project.org/package=realTimeloads
Description: CRAN Package 'realTimeloads' (Analyte Flux and Load from Estimates of Concentration andDischarge)
 Flux (mass per unit time) and Load (mass) are computed from timeseries
 estimates of analyte concentration and discharge. Concentration timeseries
 are computed from regression between surrogate and user-provided analyte.
 Uncertainty in calculations is estimated using bootstrap resampling. Code
 for the processing of acoustic backscatter from horizontally profiling
 acoustic Doppler current profilers is provided. All methods detailed in
 Livsey et al (2020) <doi:10.1007/s12237-020-00734-z>, Livsey et al (2023)
 <doi:10.1029/2022WR033982>, and references therein.

Package: r-cran-reappraised
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 653
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-broom, r-cran-data.table, r-cran-dplyr, r-cran-epitools, r-cran-flextable, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-officer, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-tidyr, r-cran-vcd, r-cran-vcdextra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-reappraised_0.1.1-1.ca2004.1_all.deb
Size: 476900
MD5sum: aa8870d091122d4b8f0727d837aa135e
SHA1: b265c7f22215ee9a87d2b9559bc0bbe230e5582a
SHA256: 0a442a4d319fb55e09f8e08696928758d8dfd31fa54c6549842e1ddc50b435f7
SHA512: 68f44534583518f3015b21afde7a8c51014c98f295dca83dc16d502ba3d53d89e408f3e710eed57efee9ba386ea1c7bb09da609523b00dfe3acfd696a7c5e8f0
Homepage: https://cran.r-project.org/package=reappraised
Description: CRAN Package 'reappraised' (Statistical Tools for Assessing Publication Integrity of Groupsof Trials)
 Takes user-provided baseline data from groups of randomised controlled data
 and assesses whether the observed distribution of baseline p-values, numbers
 of participants in each group, or categorical variables are consistent with
 the expected distribution, as an aid to the assessment of integrity concerns
 in published randomised controlled trials.  References (citations in PubMed
 format in details of each function): Bolland MJ, Avenell A, Gamble GD, Grey
 A. (2016) <doi:10.1212/WNL.0000000000003387>.  Bolland MJ, Gamble GD,
 Avenell A, Grey A, Lumley T. (2019) <doi:10.1016/j.jclinepi.2019.05.006>.
 Bolland MJ, Gamble GD, Avenell A, Grey A. (2019)
 <doi:10.1016/j.jclinepi.2019.03.001>.  Bolland MJ, Gamble GD, Grey A,
 Avenell A. (2020) <doi:10.1111/anae.15165>.  Bolland MJ, Gamble GD, Avenell
 A, Cooper DJ, Grey A. (2021) <doi:10.1016/j.jclinepi.2020.11.012>.  Bolland
 MJ, Gamble GD, Avenell A, Grey A. (2021)
 <doi:10.1016/j.jclinepi.2021.05.002>.  Bolland MJ, Gamble GD, Avenell A,
 Cooper DJ, Grey A. (2023) <doi:10.1016/j.jclinepi.2022.12.018>.  Carlisle
 JB, Loadsman JA. (2017) <doi:10.1111/anae.13650>.  Carlisle JB. (2017)
 <doi:10.1111/anae.13938>.

Package: r-cran-rearrangement
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-rearrangement_2.1-1.ca2004.1_all.deb
Size: 206824
MD5sum: ffdb7f8726c6bc61fdb29ff92e96e7e1
SHA1: 1326b30245ce02da0ba492702eb7f7a8a96d8fbf
SHA256: 1374ece6bcc404d5b4bcdcb5633b873aba8d419de54286161eb2238a8c777dda
SHA512: 8f0e040fb8c5016ba16d6b0a59a342eb83b3132f4b3d71feaff3a98789c2fa3b21d5d91731d6f024f86944adcfb2c80e4d3053c41895bd856a9846f389c0f65a
Homepage: https://cran.r-project.org/package=Rearrangement
Description: CRAN Package 'Rearrangement' (Monotonize Point and Interval Functional Estimates byRearrangement)
 The rearrangement operator (Hardy, Littlewood, and Polya 1952) for
 univariate, bivariate, and trivariate point estimates of monotonic
 functions. The package additionally provides a function that creates
 simultaneous confidence intervals for univariate functions and applies the
 rearrangement operator to these confidence intervals.

Package: r-cran-rearrr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1934
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-plyr, r-cran-purrr, r-cran-rlang, r-cran-r6, r-cran-tibble
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-tidyr, r-cran-xpectr
Filename: pool/dists/focal/main/r-cran-rearrr_0.3.5-1.ca2004.1_all.deb
Size: 1773028
MD5sum: 0800673138cec3978a59ea016d6bb0d4
SHA1: 449045e9087c82b02609c7c6a2a12d5c4ec25d2a
SHA256: f29bb45d86a3eabc13503e09cdd9e626640b16e42a39630ba2e2989b43b4fd71
SHA512: f37bf86ddad8d8ee742e6d40dce90d1cc0d9c4285aa9b6cc1631a36e5342c8ec639222e29b04adc1d2848bf3b8b55ee7c01c2e6e0d4722839a74e8044538ad14
Homepage: https://cran.r-project.org/package=rearrr
Description: CRAN Package 'rearrr' (Rearranging Data)
 Arrange data by a set of methods. Use rearrangers to reorder data points and
 mutators to change their values. From basic utilities, to centering the
 greatest value, to swirling in 3-dimensional space, 'rearrr' enables
 creativity when plotting and experimenting with data.

Package: r-cran-reasonabletools
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
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Size: 41252
MD5sum: 8ce808fd163b788b2e72ca964f947cd4
SHA1: e560ad2c672af61512d332bff17541baf382ddd8
SHA256: 448eb0e8fc52d3c2f84d38b15d1c80def4663d5164d4e1ed992ee6500e023a1a
SHA512: c4aef80c9dc16f452dfbfef9d7cb0a943306c67beaa1d54164f93e1da95dea9534c2d4b842de7f0fac61496a271cb12684ec8af4ed631fb045b8b70bb5ecc7b9
Homepage: https://cran.r-project.org/package=reasonabletools
Description: CRAN Package 'reasonabletools' (Clean Water Quality Data for NPDES Reasonable Potential Analyses)
 Functions for cleaning and summarising water quality data for use in
 National Pollutant Discharge Elimination Service (NPDES) permit reasonable
 potential analyses and water quality-based effluent limitation calculations.
 Procedures are based on those contained in the "Technical Support Document
 for Water Quality-based Toxics Control", United States Environmental
 Protection Agency (1991).

Package: r-cran-reat
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Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.1.3), r-api-4.0
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Size: 667636
MD5sum: 9bb73000e207b78b1285170282e760fd
SHA1: faa48c6a189d7f4cf6f1f347284f4ced4a9e041d
SHA256: 9e09fcc89ad01e5133214c3fe0cbc6a8524f688f062f742c1639eaa4f07ec782
SHA512: 2e3dc0dc62f2487300de82356a93123615927f36a90fa56df73fbd95d941b832b4f8a057d6643a6a5ed10125f2f181421225d94cd516d74fc53cb4717650d308
Homepage: https://cran.r-project.org/package=REAT
Description: CRAN Package 'REAT' (Regional Economic Analysis Toolbox)
 Collection of models and analysis methods used in regional and urban
 economics and (quantitative) economic geography, e.g. measures of
 inequality, regional disparities and convergence, regional specialization as
 well as accessibility and spatial interaction models.

Package: r-cran-rebayes
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Version: 2.56-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1717
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-lattice
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Filename: pool/dists/focal/main/r-cran-rebayes_2.56-1.ca2004.1_all.deb
Size: 1480988
MD5sum: f9831b83ff9f7116cde75cc32f3d20bf
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SHA512: a7e1e0828fda7b70c6636f56e2de9bd69c5068680b9c13bacc872daf9059356b14ccc4e65b1aa8b08d069f8c3c98d023ab1f4fcdee281d6a846b03017c40f148
Homepage: https://cran.r-project.org/package=REBayes
Description: CRAN Package 'REBayes' (Empirical Bayes Estimation and Inference)
 Kiefer-Wolfowitz maximum likelihood estimation for mixture models and some
 other density estimation and regression methods based on convex
 optimization.  See Koenker and Gu (2017) REBayes: An R Package for Empirical
 Bayes Mixture Methods, Journal of Statistical Software, 82, 1--26,
 <DOI:10.18637/jss.v082.i08>.

Package: r-cran-rebib
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Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
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Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
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Size: 98836
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Homepage: https://cran.r-project.org/package=rebib
Description: CRAN Package 'rebib' (Convert and Aggregate Bibliographies)
 Authors working with 'LaTeX' articles use the built-in bibliography options
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 combine bibliographies from both sources.

Package: r-cran-rebird
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rebird_1.3.0-1.ca2004.1_all.deb
Size: 593424
MD5sum: 7bc48870014604e45523d2d6508e4c05
SHA1: fbae18c42b26d1810f0fbd4f6a382f655cd85e95
SHA256: 453be1fdbca101e78c6b8a094bfb899f565e77f5e13d113c6a3cf4412895f181
SHA512: 4ee33336f99f7b47524bac8b0d29048638a2ecb72486c9ffca7518272288e02fded8bbd54038217b6abaeefa56c538d202067c8f578db7f98401bac3d9265bbc
Homepage: https://cran.r-project.org/package=rebird
Description: CRAN Package 'rebird' (R Client for the eBird Database of Bird Observations)
 A programmatic client for the eBird database (<https://ebird.org/home>),
 including functions for searching for bird observations by geographic
 location (latitude, longitude), eBird hotspots, location identifiers, by
 notable sightings, by region, and by taxonomic name.

Package: r-cran-rebus.base
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rebus.base_0.0-3-1.ca2004.1_all.deb
Size: 84320
MD5sum: 330ff346254badae217b1ff1958a188d
SHA1: a908df248be421cec1f79d3913f53b799dbff1ed
SHA256: 1dac14702fc32accc2cd3580f26db933e01bdae24470655c969020988ad3f83d
SHA512: fe0f71dd0956de57187f4a5288ad08fceefef75544aa7f3214e7c9a3b13dcb34e5c2ccf05f6e4f0117962f3f595f4be31cd5adf9d95584ca240fd9ee793ca89c
Homepage: https://cran.r-project.org/package=rebus.base
Description: CRAN Package 'rebus.base' (Core Functionality for the 'rebus' Package)
 Build regular expressions piece by piece using human readable code.  This
 package contains core functionality, and is primarily intended to be used by
 package developers.

Package: r-cran-rebus.datetimes
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rebus.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rebus.datetimes_0.0-2-1.ca2004.1_all.deb
Size: 37968
MD5sum: 388d2299b6d55f08aa41119af58f390d
SHA1: 3ae26649abd502e178d28fc07274088c6491ad28
SHA256: 437f4e096cdf4ac48cdd12d3a69c1f8ce093d6e89fee69f03e8036f79ce2750b
SHA512: 52c4dcb171a9eb918a40ca617e07b1f74fdebaad8b5e4183b72ea1795c74b7893263e8401d0b54f666abda5f9dcb7731c1b513c09812176aa2e840d6df3345a7
Homepage: https://cran.r-project.org/package=rebus.datetimes
Description: CRAN Package 'rebus.datetimes' (Date and Time Extensions for the 'rebus' Package)
 Build regular expressions piece by piece using human readable code.  This
 package contains date and time functionality, and is primarily intended to
 be used by package developers.

Package: r-cran-rebus.numbers
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rebus.base
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rebus.numbers_0.0-1-1.ca2004.1_all.deb
Size: 19600
MD5sum: 26d6acbb425350d619ad393631a1f53f
SHA1: 40ada796363838a03ca6e62641ccb979c3cc5c06
SHA256: aa4abc229779360d67b4eb392e4129d2d23ca6eb55463d82875e591957ebd952
SHA512: 9aab1104ab51f070afe3f319917a224a80c48ed5c1e0aee254098a126ef3f5b81c6834a0788057aed5b5699ac8dea4a1531ffde18ed48ff52c3388513e91cec9
Homepage: https://cran.r-project.org/package=rebus.numbers
Description: CRAN Package 'rebus.numbers' (Numeric Extensions for the 'rebus' Package)
 Build regular expressions piece by piece using human readable code.  This
 package contains number-related functionality, and is primarily intended to
 be used by package developers.

Package: r-cran-rebus.unicode
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rebus.base
Suggests: r-cran-stringi
Filename: pool/dists/focal/main/r-cran-rebus.unicode_0.0-2-1.ca2004.1_all.deb
Size: 131724
MD5sum: 978036d5ddafe060a81c4507bcf5e244
SHA1: 2297a25d9a1c824c902d53f503cf924f409c74e0
SHA256: 3ffc1153420bce8a5de155b22baf884c8a24cbd89699c9e103be549f4cf53346
SHA512: 9ec852a851a9d0d5eabb3f4df068e2441d6580be1f18c0296edaafe1f3b03d7307f34e727e7cd4ce135d30c745a0ca5d67b88328749c70be00ebd57c0fdbb91b
Homepage: https://cran.r-project.org/package=rebus.unicode
Description: CRAN Package 'rebus.unicode' (Unicode Extensions for the 'rebus' Package)
 Build regular expressions piece by piece using human readable code.  This
 package contains Unicode functionality, and is primarily intended to be used
 by package developers.

Package: r-cran-rebus
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rebus.base, r-cran-rebus.datetimes, r-cran-rebus.numbers, r-cran-rebus.unicode
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rebus_0.1-3-1.ca2004.1_all.deb
Size: 111936
MD5sum: b713914dc9359eabc3eff9da598107cc
SHA1: 0d7bbb580948ef044dff401c7140726220b29105
SHA256: 679d7874c6b31f82efa7b04a8365a8f6f1d32a22cb8eaf91598652c721337dbc
SHA512: 6eac09001b7039382bb0c1f379c2257a3106ebe52d63346ee7b734f6eb24ee06d8670485bb84147d1b7ad127d89ee6d77be0de957fb25b11b6511da4981d850b
Homepage: https://cran.r-project.org/package=rebus
Description: CRAN Package 'rebus' (Build Regular Expressions in a Human Readable Way)
 Build regular expressions piece by piece using human readable code.  This
 package is designed for interactive use.  For package development, use the
 rebus.* dependencies.

Package: r-cran-reca
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-reca_1.7-1.ca2004.1_all.deb
Size: 28588
MD5sum: b83f8621d32499caeb918e644f355fa4
SHA1: e1f9dc32d2ffb569c9036b901fa8408156eb97c1
SHA256: 8de023bdc6092b8071bdab126a943e104cbe0b66364de7751ab609ee950ac931
SHA512: 782b73baf03f14dd051b408db377bd218fd0ca96b16466b7b97f20c9af50722ad865c4c55062f356a7cab920d1fc35326e7ac281f5ece08ebe7d0f9b23b7f931
Homepage: https://cran.r-project.org/package=RECA
Description: CRAN Package 'RECA' (Relevant Component Analysis for Supervised Distance MetricLearning)
 Relevant Component Analysis (RCA) tries to find a linear transformation of
 the feature space such that the effect of irrelevant variability is reduced
 in the transformed space.

Package: r-cran-recalibratinn
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3044
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-rann, r-cran-tidyr, r-cran-tibble, r-cran-glue, r-cran-magrittr, r-cran-hmisc, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-recalibratinn_0.3.2-1.ca2004.1_all.deb
Size: 2805540
MD5sum: f919850ab7a69ac5cf01ae8551b834c8
SHA1: b16ad59198a7ab501df8abaeab1c03fc71672569
SHA256: 05350cbc7a2a6d3df1ffdf2d14001f449b659d829f0cdc8ac9ff794ac0b6ae21
SHA512: 550b77a4a70e5848c44b734218b391fb2c8a7b9f3df42084920789d6f1dbc8d846ff068c0a6b5e71a252a8320faf1578d87404e98ef24dd04f6e3c0eeb15fdf6
Homepage: https://cran.r-project.org/package=recalibratiNN
Description: CRAN Package 'recalibratiNN' (Quantile Recalibration for Regression Models)
 Enables the diagnostics and enhancement of regression model calibration.It
 offers both global and local visualization tools for calibration diagnostics
 and provides one recalibration method: Torres R, Nott DJ, Sisson SA,
 Rodrigues T, Reis JG, Rodrigues GS (2024) <doi:10.48550/arXiv.2403.05756>.
 The method leverages on Probabilistic Integral Transform (PIT) values to
 both evaluate and perform the calibration of statistical models. For a more
 detailed description of the package, please refer to the bachelor's thesis
 available bellow.

Package: r-cran-recapr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-recapr_0.4.4-1.ca2004.1_all.deb
Size: 246420
MD5sum: 57e183a6362c001263907b6c24aff276
SHA1: 7b8252b1aaaa421f3e0b020f9975b02b9ced9000
SHA256: 7bbb41f8eb309cc9f2d8a5c86598c18d4e34ecd5ba001ef3afb9006ae1c465a7
SHA512: aa1d797ed8d1762bb382a216147e7916f2b56c7cecda7e883e87730f12864a8aae2a09f03c76294d81721ad5ec0d520113531f806f969f38174f230bba0e8d76
Homepage: https://cran.r-project.org/package=recapr
Description: CRAN Package 'recapr' (Two Event Mark-Recapture Experiment)
 Tools are provided for estimating, testing, and simulating abundance in a
 two-event (Petersen) mark-recapture experiment. Functions are given to
 calculate the Petersen, Chapman, and Bailey estimators and associated
 variances. However, the principal utility is a set of functions to simulate
 random draws from these estimators, and use these to conduct hypothesis
 tests and power calculations. Additionally, a set of functions are provided
 for generating confidence intervals via bootstrapping. Functions are also
 provided to test abundance estimator consistency under complete or partial
 stratification, and to calculate stratified or partially stratified
 estimators.  Functions are also provided to calculate recommended sample
 sizes.  Referenced methods can be found in Arnason et al. (1996)
 <ISSN:0706-6457>, Bailey (1951) <DOI:10.2307/2332575>, Bailey (1952)
 <DOI:10.2307/1913>, Chapman (1951) NAID:20001644490, Cohen (1988)
 ISBN:0-12-179060-6, Darroch (1961) <DOI:10.2307/2332748>, and Robson and
 Regier (1964) <ISSN:1548-8659>.

Package: r-cran-recastlessons
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-recastlessons_0.1.0-1.ca2004.1_all.deb
Size: 73376
MD5sum: a2dbfeb485cf54ab1fe29fb8ef4b14fe
SHA1: 8c4237264c1aa20a3ecdb0700c74d8fd7f611435
SHA256: 3250a2d61915d8ba5e6ce84b1d4aa7149ba9a529c13aca60d2949025d39a9a56
SHA512: 1aab7f0ce395d7d962fbea2168c1a0f53ca1a7cbb3ee64ebb78c18839715995edcb6c2b984f6a489bb6bcdc9e6d20afddacc9a1a52bbb7c9cb2f7a53dd43ffed
Homepage: https://cran.r-project.org/package=recastlessons
Description: CRAN Package 'recastlessons' (Explore and Interactively Adjust a Daily Distribution of Lessons)
 A set of functions to see and interactively adjust a distribution of lessons
 by day, aiming at homogenizing individual distributions (for each class and
 teacher).

Package: r-cran-receptiviti
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-digest, r-cran-progressr, r-cran-stringi
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-future, r-cran-arrow, r-cran-dplyr, r-cran-future.apply
Filename: pool/dists/focal/main/r-cran-receptiviti_0.2.0-1.ca2004.1_all.deb
Size: 94744
MD5sum: 57afac7aceedc40c27b265baac987f1d
SHA1: 58301b9221ea082876d8b74b4211aee2b74c1929
SHA256: d55338260add9de3aa4cc00440ae743a63c8c64c9b7a73b50cb1af49e5b5ae68
SHA512: c335f593e663044bf0c06ab6827e62e4cf9492bda983d1a9db8a7b6d98aad65b92417797950214919a8dcbd5145bde2427a3a295c1b2e773a9a077ae412fd547
Homepage: https://cran.r-project.org/package=receptiviti
Description: CRAN Package 'receptiviti' (Text Analysis Through the 'Receptiviti' API)
 Sends texts to the <https://www.receptiviti.com> API to be scored, and
 facilitates the creation of custom norms and local results databases.

Package: r-cran-recforest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1078
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-magrittr, r-cran-mets, r-cran-purrr, r-cran-reda, r-cran-survival, r-cran-tibble, r-cran-timereg
Suggests: r-cran-frailtypack, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-recforest_1.0.0-1.ca2004.1_all.deb
Size: 457224
MD5sum: 11f080a9d89337bc2dfcb212e8635fd9
SHA1: 1fcc385c4dac321fc2e1c00c1ad1c3e928b74e21
SHA256: 1441d8cdff7f1f12929f244de7c648e56127c6d83decbdc8e1e18f9a11b52da9
SHA512: f860f932268515d116d0374c4538877f3f3c7bbe0a4a36bd2d544c33bb9cfd5a65fe3c922e3eb67e46c34b3e67735374f7530cee81c160774e69e9c84fc7d6f3
Homepage: https://cran.r-project.org/package=recforest
Description: CRAN Package 'recforest' (Random Survival Forest for Recurrent Events)
 Analyze recurrent events with right-censored data and the potential presence
 of a terminal event (that prevents further occurrences, like death).
 'recofest' extends the random survival forest algorithm, adapting splitting
 rules and node estimators to handle complexities of recurrent events. The
 methodology is fully described in Murris, J., Bouaziz, O., Jakubczak, M.,
 Katsahian, S., & Lavenu, A. (2024)
 (<https://hal.science/hal-04612431v1/document>).

Package: r-cran-recharge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-airgr, r-cran-data.table, r-cran-future, r-cran-dofuture, r-cran-foreach, r-cran-hydrostats, r-cran-lubridate, r-cran-ncdf4, r-cran-plyr, r-cran-progressr, r-cran-raster, r-cran-sp, r-cran-zoo, r-cran-r.utils
Suggests: r-cran-testthat, r-cran-curl
Filename: pool/dists/focal/main/r-cran-recharge_1.0.0-1.ca2004.1_all.deb
Size: 95520
MD5sum: b1dd990644125f684819a58265a02088
SHA1: 2144c145d7771651cd0ce09034abff6fe2d2a4ce
SHA256: 2a97b0b6e219d625c0b0eb8ccb4028c6f2dc13a4a97c023fad680f720658e95d
SHA512: f7d7aa669a71f067ee304811fcb02befc4155b20da13c7c5bb2cca0a5372a4540d5ddb92901856fa7fe943e5880df2de27f274bd13293560bd3ce78c9bb1829e
Homepage: https://cran.r-project.org/package=rechaRge
Description: CRAN Package 'rechaRge' (HydroBudget – Groundwater Recharge Model)
 HydroBudget is a spatially distributed groundwater recharge model that
 computes a superficial water budget on grid cells with outputs aggregated
 into monthly time steps.  It was developed as an accessible and
 computationally affordable model to simulate groundwater recharge over large
 areas (thousands of km2, regional-scale watersheds) and for long time
 periods (decades), in cold and humid climates. Model algorithms are based on
 the research of Dubois, E. et al. (2021a) <doi:10.5683/SP3/EUDV3H> and
 Dubois, E. et al. (2021b) <doi:10.5194/hess-25-6567-2021>.

Package: r-cran-rechonest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rcurl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rechonest_1.2-1.ca2004.1_all.deb
Size: 98956
MD5sum: 3eb94b04f319403d306218ccd46c1ed6
SHA1: dbca8c2d8957401cf68825838a7a94d2fbaad7d8
SHA256: e5df58a1dc4e2cd266c71dda5a1b663233a33ad6668c2967790ce27beb1b82c4
SHA512: 29ec775eb89d745cba576ccfaa0c3d8b8d5fe438993418b6735c0b4444bfd2f8f2c700eace9c9f90102e52defe8ab49a2cc13aeda52806bcf09eb54653e3eb24
Homepage: https://cran.r-project.org/package=rechonest
Description: CRAN Package 'rechonest' (R Interface to Echo Nest API)
 The 'Echo nest' <http://the.echonest.com> is the industry's leading music
 intelligence company, providing developer with deepest understanding of
 music content and music fans. This package can be used to access artist's
 data including songs, blogs, news, reviews etc. Song's data including audio
 summary, style, danceability, tempo etc can also be accessed.

Package: r-cran-recipa
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-recipa_3.0-1.ca2004.1_all.deb
Size: 25432
MD5sum: 5d544d50236bdc648b801237545206af
SHA1: 4b62e2d140d86cd13eb4d75fe6bc3cf816e58ab0
SHA256: a2f03db8513ae540ae14547751d84552cdf21e144aca16bbee87205af047637c
SHA512: 94148e92b6126e56c8c87a63f95cf0e83523891152459fb74df32e36259f2a874752aefce56c6dc37e2c782edb5441702990214437c3458762cf017d421bd927
Homepage: https://cran.r-project.org/package=ReCiPa
Description: CRAN Package 'ReCiPa' (Redundancy Control in Pathways databases)
 Pathways in a database could have many redundancies among them. This package
 allows the user to set a maximum value for the proportion of these
 redundancies.

Package: r-cran-recipes
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2062
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-cli, r-cran-clock, r-cran-generics, r-cran-glue, r-cran-gower, r-cran-hardhat, r-cran-ipred, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-rlang, r-cran-sparsevctrs, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-timedate, r-cran-vctrs, r-cran-withr
Suggests: r-cran-covr, r-cran-ddalpha, r-cran-dials, r-cran-ggplot2, r-cran-igraph, r-cran-kernlab, r-cran-knitr, r-cran-modeldata, r-cran-parsnip, r-cran-rann, r-cran-rcpproll, r-cran-rmarkdown, r-cran-rpart, r-cran-rsample, r-cran-rspectra, r-cran-splines2, r-cran-testthat, r-cran-workflows, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-recipes_1.3.1-1.ca2004.1_all.deb
Size: 1651356
MD5sum: 454d60ba5314f8b858c308d4f6dccd07
SHA1: 9f6c931f00d02b48d320f0fcd7750273e9855200
SHA256: 2bf8e96f80b418c5ad06e2547c2ec07453694248022c438b3cb54619c60c8d33
SHA512: 3bbf3c885ba6b954301c3f66e4705aedec871aefa3f2924e04bca10463568e9019a9dcf0aefd008fd196edd173e511cd7f6712432aee6df043bf1b0919029744
Homepage: https://cran.r-project.org/package=recipes
Description: CRAN Package 'recipes' (Preprocessing and Feature Engineering Steps for Modeling)
 A recipe prepares your data for modeling. We provide an extensible framework
 for pipeable sequences of feature engineering steps provides preprocessing
 tools to be applied to data. Statistical parameters for the steps can be
 estimated from an initial data set and then applied to other data sets. The
 resulting processed output can then be used as inputs for statistical or
 machine learning models.

Package: r-cran-recluster
Architecture: all
Version: 2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-vegan, r-cran-picante, r-cran-phangorn, r-cran-phytools, r-cran-cluster, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-recluster_2.9-1.ca2004.1_all.deb
Size: 168708
MD5sum: 3bc9e5baace41c7de9d0b2009e43b832
SHA1: 7f1fb624df3ac10e3358ddf01d1e806aa1c1eb37
SHA256: edeb19e926a54b7824f865efe846f2a378564fbb954a239db23354278f54bfaf
SHA512: 420c5eb35c3a4b3e46f2ba891f6940a02c29620e8c18c25916dd3f0b22b34807ce4cd607b7489904ca087ddfacccec6ad2d9db4e14d0291ef87a9a12bfdbadc2
Homepage: https://cran.r-project.org/package=recluster
Description: CRAN Package 'recluster' (Ordination Methods for the Analysis of Beta-Diversity Indices)
 The analysis of different aspects of biodiversity requires specific
 algorithms.  For example, in regionalisation analyses, the high frequency of
 ties and zero values in dissimilarity matrices produced by Beta-diversity
 turnover produces hierarchical cluster dendrograms whose topology and
 bootstrap supports are affected by the order of rows in the original matrix.
 Moreover, visualisation of biogeographical regionalisation can be
 facilitated by a combination of hierarchical clustering and
 multi-dimensional scaling. The recluster package provides robust techniques
 to visualise and analyse pattern of biodiversity and to improve occurrence
 data for cryptic taxa.  Other functions related to recluster (e.g. the
 biodecrypt family) are currently available in GitHub at
 <https://github.com/leondap/recluster>.

Package: r-cran-recmetrics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-magrittr, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-recmetrics_0.1.0-1.ca2004.1_all.deb
Size: 60292
MD5sum: 2897c2148035a93831bee896e8320f23
SHA1: 3e4ff1f9ba625972661aec2080463e06bed287ec
SHA256: 4ec0f7a336ab54c10c292ab6648ff79aeb7142a61888bc242d1d10e459be983c
SHA512: 1cca21a0f7977ee36825bc86b1e538238f1b5ef5a01be36c6749a27e7727e5d884102c940cb0ae958069f9c48fab92826568ef76c44d7c4e8aab3e350b55aeba
Homepage: https://cran.r-project.org/package=recmetrics
Description: CRAN Package 'recmetrics' (Psychometric Evaluation Using Relative Excess Correlations)
 Modern results of psychometric theory are implemented to provide users with
 a way of evaluating the internal structure of a set of items guided by
 theory. These methods are discussed in detail in VanderWeele and Padgett
 (2024) <doi:10.31234/osf.io/rnbk5>. The relative excess correlation matrices
 will, generally, have numerous negative entries even if all of the raw
 correlations between each pair of indicators are positive. The positive
 deviations of the relative excess correlation matrix entries help identify
 clusters of indicators that are more strongly related to one another,
 providing insights somewhat analogous to factor analysis, but without the
 need for rotations or decisions concerning the number of factors. A goal
 similar to exploratory/confirmatory factor analysis, but 'recmetrics' uses
 novel methods that do not rely on assumptions of latent variables or latent
 variable structures.

Package: r-cran-recodeflow
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-sjlabelled, r-cran-stringr, r-cran-tidyr, r-cran-haven, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-recodeflow_0.1.0-1.ca2004.1_all.deb
Size: 132448
MD5sum: 36491ba6ea8f46a6a0a4cec9819b0ef4
SHA1: c10cccdac7eba460e06af6ae515d9a9f6bbbcac6
SHA256: 9877ee8fd3e02297cfb6172b16a2263877a76580147ea347ba6e98ef4d592163
SHA512: 0c008fa1c5ef68dc113cf64cfbb704f05aa923e1961e679b2c8f194bb4addc5028a7006c838f54834e5efa5cd2523a43e020b6ec979353dedf5c0a080dcbd499
Homepage: https://cran.r-project.org/package=recodeflow
Description: CRAN Package 'recodeflow' (Interface Functions for PMML Creation, and Data Recoding)
 Contains functions to interface with variables and variable details sheets,
 including recoding variables and converting them to PMML.

Package: r-cran-recoder
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-recoder_0.1-1.ca2004.1_all.deb
Size: 15880
MD5sum: cb42aa9988afa09da52eaa9588fe290a
SHA1: 37bf2c2b18e494bc94a362ac54b1692d2c62caec
SHA256: 21f1f4cdaeed0ee87193f3d39ba4b41ae3eeb3462ede741617d94028074e1ae7
SHA512: 955e022901025e74e47ab1f16da500e52c050d20891db55d02f3402d7ae920d08e65299ae0f2bd9bb394197450cdb40b331499d9b7fff8650d7bb15f1a6ca749
Homepage: https://cran.r-project.org/package=recoder
Description: CRAN Package 'recoder' (A Simple and Flexible Recoder)
 Simple, easy to use, and flexible functionality for recoding variables. It
 allows for simple piecewise definition of transformations.

Package: r-cran-recogito
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10363
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-shiny, r-cran-magick, r-cran-opencv, r-cran-sf
Filename: pool/dists/focal/main/r-cran-recogito_0.2.1-1.ca2004.1_all.deb
Size: 1724096
MD5sum: 1a23cf5d53ad0d58c0f752e5910d5008
SHA1: d06b2c8892bda830da19452da17e7e50fd8c6145
SHA256: b0c163332c80296e4aeb3837597b8557225e06ae2c10bd35df52294cd5ced18c
SHA512: 66dadbfef0668b7237b4abe62a18bd67281661c1eb6ea969787fe8404178f6976031eea004ee8bb01a2da6df183cbe8eb1df775ae9f86d4120fa977dc009a340
Homepage: https://cran.r-project.org/package=recogito
Description: CRAN Package 'recogito' (Interactive Annotation of Text and Images)
 Annotate text with entities and the relations between them. Annotate areas
 of interest in images with your labels.  Providing 'htmlwidgets' bindings to
 the 'recogito' <https://github.com/recogito/recogito-js> and 'annotorious'
 <https://github.com/recogito/annotorious> libraries.

Package: r-cran-recolorize
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4665
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-imager, r-cran-png, r-cran-pavo, r-cran-mgcv, r-cran-colorramps, r-cran-plotfunctions, r-cran-abind, r-cran-raster, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-smoothr, r-cran-clue, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-recolorize_0.2.0-1.ca2004.1_all.deb
Size: 3976172
MD5sum: 581c16c7da29f28ee84e89fb4ff6cc4e
SHA1: cf22a14fcd76a35852f46fec685918e2dcc8f167
SHA256: 93ddacad43a40016ab169057df9caed6f23a260a8a6c4c9091bee23c651b8a3d
SHA512: ab9e6befcbec331e9a8643292e57f08aa3a30a8f50f4eaa562c1c49eeb7b66e4cb59be5d4ebad3795e1925e02d2f34f0ca80a035b6440d3762f731d94342fd74
Homepage: https://cran.r-project.org/package=recolorize
Description: CRAN Package 'recolorize' (Color-Based Image Segmentation)
 Automatic, semi-automatic, and manual functions for generating color maps
 from images. The idea is to simplify the colors of an image according to a
 metric that is useful for the user, using deterministic methods whenever
 possible.  Many images will be clustered well using the out-of-the-box
 functions, but the package also includes a toolbox of functions for making
 manual adjustments (layer merging/isolation, blurring, fitting to provided
 color clusters or those from another image, etc).  Also includes export
 methods for other color/pattern analysis packages (pavo, patternize,
 colordistance).

Package: r-cran-recombinator
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-recombinator_1.0.1-1.ca2004.1_all.deb
Size: 27956
MD5sum: 80c9a2e94fd46369f691176a74421610
SHA1: 00b4045f55b1724920eb036714eed2ee96121e4b
SHA256: 4e09be610aa3c78fc2c26b6d3eaff5cbe197934f34dae6dc8b97647a9a3ce45b
SHA512: 0a90c47f2ad06e09db69acbaa9a87c2321d47ffcd3df21268a219eab66013af7eabff88a8dd423ce4baa51ff8e3216985058494cc55b46063f609987c33da974
Homepage: https://cran.r-project.org/package=recombinator
Description: CRAN Package 'recombinator' (Recombinate Nested Lists to Dataframes)
 Turns nested lists into data.frames in an orderly manner.

Package: r-cran-recommenderlab
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2753
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-arules, r-cran-proxy, r-cran-registry, r-cran-irlba, r-cran-recosystem, r-cran-matrixstats
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-recommenderlab_1.0.7-1.ca2004.1_all.deb
Size: 2261960
MD5sum: c5a094ca953b7f98b93e08303341bba3
SHA1: 603ac0164b3fd84a853722840b3d2e2f90278b3e
SHA256: daa904827a5442c4ad6cc482cde539556a7dce4687a01ef0d9a1da88d0208f5f
SHA512: 16b0e6fd861ea89b3013b8a4ed0792d32d6c37fe9851ccc1a533f2e8e03c63754d53a634393eb3e7d4ddd360ed5594b1c4fc3743c90fec806f1d8122b8547bde
Homepage: https://cran.r-project.org/package=recommenderlab
Description: CRAN Package 'recommenderlab' (Lab for Developing and Testing Recommender Algorithms)
 Provides a research infrastructure to develop and evaluate collaborative
 filtering recommender algorithms. This includes a sparse representation for
 user-item matrices, many popular algorithms, top-N recommendations, and
 cross-validation. Hahsler (2022) <doi:10.48550/arXiv.2205.12371>.

Package: r-cran-recommenderlabbx
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9258
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-recommenderlab
Filename: pool/dists/focal/main/r-cran-recommenderlabbx_0.2-0-1.ca2004.1_all.deb
Size: 9434944
MD5sum: 81966a4829f2a350a470f9daff1f4374
SHA1: 734ea30c85c8aab82a059a6470135f38c673fb04
SHA256: f5dccd3ca4699383b7b3e86937de72082ca0ec0b846c93a8c3e5a827ff5c2a55
SHA512: c3d49cf32385354b406e002ca9d99affa64544fe3f34ffab368eb7f2c3449ab90d79614644499384e6fb255419c7f62549d16dd899e4a0192b45d9857eb13880
Homepage: https://cran.r-project.org/package=recommenderlabBX
Description: CRAN Package 'recommenderlabBX' (Book-Crossing Dataset (BX) for 'recommenderlab')
 Provides the Book-Crossing Dataset for the package recommenderlab.

Package: r-cran-recommenderlabjester
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2964
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-recommenderlab
Filename: pool/dists/focal/main/r-cran-recommenderlabjester_0.2-0-1.ca2004.1_all.deb
Size: 2981444
MD5sum: 8e0ae4bca46b8a2077c946717b221457
SHA1: e6fbfb687fe6ceff9921ae6f1e27fe9135f04d49
SHA256: f57c25f7385da109eb39ca0e7515dd7ca307ca815d9aed299a733d3574e64f34
SHA512: e87cb0c714e5029dc35972825cfd5e53bb6cfcddb81b6f4736d52131907ecf9c5f9f5a25de7f793e9504b3d6d773d88ff0374cd75ee6b204381f5a6a7b409e04
Homepage: https://cran.r-project.org/package=recommenderlabJester
Description: CRAN Package 'recommenderlabJester' (Jester Dataset for 'recommenderlab')
 Provides the Jester Dataset for package recommenderlab.

Package: r-cran-recon
Architecture: all
Version: 0.3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rootsolve
Suggests: r-cran-plot3d, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-recon_0.3.0.0-1.ca2004.1_all.deb
Size: 42372
MD5sum: d7c7101d0851551c8194023038e7b734
SHA1: 253fe07d1a93f19eb392db198a9b64fee40c21a2
SHA256: 71688e3787051d6050b266c77c376d7d10814ea98b8b04ac0d1cc2fc9be59acd
SHA512: c1b90c9390476693a801200078e6a60edb4df013a2ef68456ea7b0cdfa088172f5c88e38da36df46d50bb58f78570c6c54ad03c53670d50e22960e66ed8a45f6
Homepage: https://cran.r-project.org/package=Recon
Description: CRAN Package 'Recon' (Computational Tools for Economics)
 Implements solutions to canonical models of Economics such as Monopoly
 Profit Maximization, Cournot's Duopoly, Solow (1956, <doi:10.2307/1884513>)
 growth model and Mankiw, Romer and Weil (1992, <doi:10.2307/2118477>) growth
 model.

Package: r-cran-reconstructkm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-survival, r-cran-rlang, r-cran-survminer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reconstructkm_0.3.0-1.ca2004.1_all.deb
Size: 372548
MD5sum: 89462563f29a12edd0d3131cedd75214
SHA1: 98b213902acb8c824d2a3eb1bab11b1440d8fb3e
SHA256: ceb9c49ced850aa236057c242a08a0d18082b37943529159d9e46f96b31023e5
SHA512: 5596e57f38f7de2e89cadf55c757a44402c1ba22e520ed0485f5a4862b516e84da7192e3ca3530f9e32522e61e1f7e1532cf96a8db3836cf24e1b653bd8d4dc8
Homepage: https://cran.r-project.org/package=reconstructKM
Description: CRAN Package 'reconstructKM' (Reconstruct Individual-Level Data from Published KM Plots)
 Functions for reconstructing individual-level data (time, status, arm) from
 Kaplan-MEIER curves published in academic journals (e.g. NEJM, JCO, JAMA).
 The individual-level data can be used for re-analysis, meta-analysis,
 methodology development, etc. This package was used to generate the data for
 commentary such as Sun, Rich, & Wei (2018) <doi:10.1056/NEJMc1808567>.
 Please see the vignette for a quickstart guide.

Package: r-cran-recorder
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-recorder_0.8.2-1.ca2004.1_all.deb
Size: 90740
MD5sum: a33b605575c70df5d68a6e8d859701f8
SHA1: 0a6dac8ed358fa6a9585eda31bd9bbcf7692b83e
SHA256: ffab1c9170d2d9c0f85049f180d6e54c80c84b7111e45a22df3200ac5960a536
SHA512: fd9ed5b059c293fca3fa84a0dd0c536b3c1ecbbb15ec8c13a853bf04e09eefd9c599e5bf1420688951aef5a5494629a178a80fbe9a54987618df8e053d7230d1
Homepage: https://cran.r-project.org/package=recorder
Description: CRAN Package 'recorder' (Toolkit to Validate New Data for a Predictive Model)
 A lightweight toolkit to validate new observations when computing their
 predictions with a predictive model. The validation process consists of two
 steps: (1) record relevant statistics and meta data of the variables in the
 original training data for the predictive model and (2) use these data to
 run a set of basic validation tests on the new set of observations.

Package: r-cran-records
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-records_1.0-1.ca2004.1_all.deb
Size: 22296
MD5sum: 73f3028d3acf2849e09b83830372fc0c
SHA1: 764f2673ec17224bed29c3ecfcab52ae58a68c63
SHA256: 32951b50d367308d391200f264b8d8deb53ff4db519896d640e14cd6b8e26c2a
SHA512: 5d249ca584041b4beb3c925823400923e2a28b7f596c2484fe7183324b703af56a7f78d57450c4f91a0216f9eefba39af757f31a4b9e8e3b8d077a889c14a6a5
Homepage: https://cran.r-project.org/package=Records
Description: CRAN Package 'Records' (Record Values and Record Times)
 Functions for generating k-record values and k-record times

Package: r-cran-recordtest
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2459
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-ggpubr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-recordtest_2.2.0-1.ca2004.1_all.deb
Size: 2062096
MD5sum: 9267853b3b48e13dac9cd5ebaa01942f
SHA1: 8002c43999a6ce995d68b45ccf9b1b5acd1cfe63
SHA256: 8126414810a1190abe8d7c67cdb7c8a22f34ef92a14ea0e2c8940dd1439e8323
SHA512: 65f66fa379ff947d7e4c2b647fa6f6fdaf0b745eb47d4256c4f41e946f1ce684e27b3018e53caeb9b591565c73fe5d2b72872c3242a153a2fa3fdbea10097681
Homepage: https://cran.r-project.org/package=RecordTest
Description: CRAN Package 'RecordTest' (Inference Tools in Time Series Based on Record Statistics)
 Statistical tools based on the probabilistic properties of the record
 occurrence in a sequence of independent and identically distributed
 continuous random variables. In particular, tools to prepare a time series
 as well as distribution-free trend and change-point tests and graphical
 tools to study the record occurrence. Details about the implemented tools
 can be found in Castillo-Mateo et al. (2023a) <doi:10.18637/jss.v106.i05>
 and Castillo-Mateo et al. (2023b) <doi:10.1016/j.atmosres.2023.106934>.

Package: r-cran-recurrentpseudo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-survival, r-cran-geepack, r-cran-stringr, r-cran-prodlim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-recurrentpseudo_1.0.0-1.ca2004.1_all.deb
Size: 63320
MD5sum: 216e46e0a485afd08db9a5ffec72b9e8
SHA1: ea1661f8916a1069544457d406282305cb6e4d01
SHA256: 0a39781bbcc977e18b86aac2892606436a0b2720f0c4f318e380057bb2f61a93
SHA512: 486cec82d851a4a92c7e3b2509b401d25e3b7f650a3f552b3b400c9bd72c6ba9d56c84f613fcaef1510f90c560ca6aa37c398c3467e644eb9407e8db1ba0cd55
Homepage: https://cran.r-project.org/package=recurrentpseudo
Description: CRAN Package 'recurrentpseudo' (Creates Pseudo-Observations and Analysis for Recurrent EventData)
 Computation of one-, two- and three-dimensional pseudo-observations based on
 recurrent events and terminal events.  Generalised linear models are fitted
 using generalised estimating equations. Technical details on the bivariate
 procedure can be found in "Bivariate pseudo-observations for recurrent event
 analysis with terminal events" (Furberg et al., 2021)
 <doi:10.1007/s10985-021-09533-5>.

Package: r-cran-red
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bat, r-cran-dismo, r-cran-gdistance, r-cran-geosphere, r-cran-jsonlite, r-cran-sp, r-cran-terra, r-cran-predicts
Filename: pool/dists/focal/main/r-cran-red_1.6.2-1.ca2004.1_all.deb
Size: 349456
MD5sum: ff4549fb46607bb91b54df13c5e5fab6
SHA1: 831ce3acd4c83999bfcbf52b75c2341576a12b91
SHA256: 2c9224dc318bb9cd86001c60f984f3c9a24cde1ae047dccbef6ec4cd17264b82
SHA512: 86b514ed162258cbab4a41a9e345c4c6a61c82b8b8828f552d258b96ea54a35ca002f28839c81c1c16ceac7bdc002f7ac0924d8733534b68a18a721ce4209fb3
Homepage: https://cran.r-project.org/package=red
Description: CRAN Package 'red' (IUCN Redlisting Tools)
 Includes algorithms to facilitate the assessment of extinction risk of
 species according to the IUCN (International Union for Conservation of
 Nature, see <https://iucn.org/> for more information) red list criteria.

Package: r-cran-redamor
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-visnetwork, r-cran-readr, r-cran-shiny, r-cran-shinyjs, r-cran-jsonlite, r-cran-dt, r-cran-colourpicker, r-cran-rintrojs, r-cran-markdown, r-cran-rstudioapi, r-cran-crayon, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-redamor_0.8.2-1.ca2004.1_all.deb
Size: 1542472
MD5sum: af0ee4cdf5225e1aadfc7a350261d0d1
SHA1: 19be47ff812718342391b7345ae15ebd746dc5fa
SHA256: fed6bfbcbc09dfb2aeaf7d6dda05eb5a61cd58846265799ab426c9ef0e4681f8
SHA512: eb2ffd96e7c2e63a0f98e4a1becdeed1dec7bb9e26efc16bbba01835df61cbe1cf22097dc47a61a2375d7a5aecc5d373270357efb39018e5e021733db7e336c6
Homepage: https://cran.r-project.org/package=ReDaMoR
Description: CRAN Package 'ReDaMoR' (Relational Data Modeler)
 The aim of this package is to manipulate relational data models in R.  It
 provides functions to create, modify and export data models in json format.
 It also allows importing models created with 'MySQL Workbench'
 (<https://www.mysql.com/products/workbench/>).  These functions are
 accessible through a graphical user interface made with 'shiny'.
 Constraints such as types, keys, uniqueness and mandatory fields are
 automatically checked and corrected when editing a model.  Finally, real
 data can be confronted to a model to check their compatibility.

Package: r-cran-redas
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-car, r-cran-cluster, r-cran-foreign, r-cran-gparotation, r-cran-mass, r-cran-mclust, r-cran-psych, r-cran-usingr, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-redas_0.9.4-1.ca2004.1_all.deb
Size: 84692
MD5sum: 524cf89796c8941116631eb51cb70dfe
SHA1: e2c919eb514fcd380031535a059d7a1c49867768
SHA256: a2fb185aca9f694d4e7bae744ab75b6b8133098c052b822dfea4553dd6fa92bd
SHA512: cdd33e2eb69344e25aa096373eca785b988054c1954442f3ab87fdb0fc486e0402428e0655559e09ec9d6dfdb35db3c0c4428c036cb9e32d420ae19b2dc62612
Homepage: https://cran.r-project.org/package=REdaS
Description: CRAN Package 'REdaS' (Companion Package to the Book 'R: Einführung durch angewandteStatistik')
 Provides functions used in the 'R: Einführung durch angewandte Statistik'
 (second edition).

Package: r-cran-redbookperu
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 922
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redbookperu_0.0.3-1.ca2004.1_all.deb
Size: 877688
MD5sum: 00150d978743836637fe72be8958d347
SHA1: 6479a78227c301cc70d399f0abc1093e3dbad127
SHA256: d650a82efa5eb1f360e65c75146ab116cb447e91deda8adee6145517ebd83fa9
SHA512: b7a63928d92429ae8b7fae4b0853e3c13c8c4291e690b1005f11cde602e3802ecb9ac8cd38a10959fd7b4711e385327761b07696816b9b83d8164ebbff809ae3
Homepage: https://cran.r-project.org/package=redbookperu
Description: CRAN Package 'redbookperu' (Access and Analyze Data from the Red Book of Endemic Plants ofPeru)
 Provides access to and analysis of data from "The Red Book of Endemic Plants
 of Peru" (León, B., Roque, J., Ulloa, C., Jorgensen, P.M., Pitman, N., Cano,
 A. 2006) <doi:10.15381/rpb.v13i2.1782>. This package offers comprehensive
 taxonomic, geographic, and conservation information about Peru's endemic
 plant species. It includes functions to verify species inclusion, obtain
 updated taxonomic details, and explore the dataset.

Package: r-cran-redcapapi
Architecture: all
Version: 2.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3677
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-chron, r-cran-curl, r-cran-jsonlite, r-cran-labelvector, r-cran-lubridate, r-cran-mime, r-cran-shelter
Suggests: r-cran-testthat, r-cran-hmisc, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-redcapapi_2.11.0-1.ca2004.1_all.deb
Size: 3238608
MD5sum: ffad54542284ad8710c831f02f1d91c5
SHA1: 35ce70a239b17bf0c9b654d21d7c6cfcf87bbc6b
SHA256: 2aa1acfc88818d2bdd124140dfea4f4d73e6114d0b95efc7bf767d08bee4af75
SHA512: b0418013e07abff20f0da756cefdff580b8a9cfeaa15e354d81bf28500b32107fc97f080adb21df28da2b25e63893727c9a524af45e349701cec902e37bf81ad
Homepage: https://cran.r-project.org/package=redcapAPI
Description: CRAN Package 'redcapAPI' (Interface to 'REDCap')
 Access data stored in 'REDCap' databases using the Application Programming
 Interface (API).  'REDCap' (Research Electronic Data CAPture;
 <https://projectredcap.org>, Harris, et al. (2009)
 <doi:10.1016/j.jbi.2008.08.010>, Harris, et al. (2019)
 <doi:10.1016/j.jbi.2019.103208>) is a web application for building and
 managing online surveys and databases developed at Vanderbilt University.
 The API allows users to access data and project meta data (such as the data
 dictionary) from the web programmatically. The 'redcapAPI' package
 facilitates the process of accessing data with options to prepare an
 analysis-ready data set consistent with the definitions in a database's data
 dictionary.

Package: r-cran-redcapcast
Architecture: all
Version: 25.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-redcapr, r-cran-tidyr, r-cran-tidyselect, r-cran-keyring, r-cran-purrr, r-cran-readr, r-cran-zip, r-cran-assertthat, r-cran-forcats, r-cran-vctrs, r-cran-gt, r-cran-bslib, r-cran-here, r-cran-glue, r-cran-gtsummary, r-cran-shiny, r-cran-haven, r-cran-openxlsx2, r-cran-readods
Suggests: r-cran-httr, r-cran-jsonlite, r-cran-testthat, r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown, r-cran-styler, r-cran-devtools, r-cran-roxygen2, r-cran-spelling, r-cran-rhub, r-cran-rsconnect, r-cran-pkgconfig
Filename: pool/dists/focal/main/r-cran-redcapcast_25.3.2-1.ca2004.1_all.deb
Size: 263620
MD5sum: 6bd160f0bbec8a32d37a013026f6ac37
SHA1: 6fc841feee98f9a41cbf58c6288be3ffba732fc8
SHA256: cb1554f85afd71a21cbc0fa455618696c94dcc7c43bc09ca80d335dd934b1ed9
SHA512: 33a438dd88ea4d076b04c8c671646cb72c50c041a0c6c038a61ef1d5015a6d381eb8b7b6f9905dcebee7cbc7933a7627d9c99c9da6000707aa91516f95cfb941
Homepage: https://cran.r-project.org/package=REDCapCAST
Description: CRAN Package 'REDCapCAST' (REDCap Metadata Casting and Castellated Data Handling)
 Casting metadata for REDCap database creation and handling of castellated
 data using repeated instruments and longitudinal projects in 'REDCap'. Keeps
 a focused data export approach, by allowing to only export required data
 from the database. Also for casting new REDCap databases based on datasets
 from other sources.  Originally forked from the R part of 'REDCapRITS' by
 Paul Egeler.  See <https://github.com/pegeler/REDCapRITS>.  'REDCap'
 (Research Electronic Data Capture) is a secure, web-based software platform
 designed to support data capture for research studies, providing 1) an
 intuitive interface for validated data capture; 2) audit trails for tracking
 data manipulation and export procedures; 3) automated export procedures for
 seamless data downloads to common statistical packages; and 4) procedures
 for data integration and interoperability with external sources (Harris et
 al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019)
 <doi:10.1016/j.jbi.2019.103208>).

Package: r-cran-redcapdm
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-magrittr, r-cran-openxlsx, r-cran-purrr, r-cran-redcapr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-stringi, r-cran-labelled, r-cran-cli, r-cran-forcats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-redcapdm_0.9.9-1.ca2004.1_all.deb
Size: 372052
MD5sum: c49e958f8f31d5faa772aa214d57cd14
SHA1: cd4f884ac28eb3ecbdff74c688fac4e831603709
SHA256: d4e7e6f9b7ec1ea8cc8c9617e48cc7a8f8c7dfa32ad2928d5ba55a4321db692a
SHA512: 6cdd646d00cfee8b8b14441ae8358fc47b749690d66c576197bdfc3628d80cddb191fa71036ddd0bfce74f92190a4ea80d01b0b7ea5539d92262f8ec2ba88638
Homepage: https://cran.r-project.org/package=REDCapDM
Description: CRAN Package 'REDCapDM' ('REDCap' Data Management)
 REDCap Data Management - REDCapDM is an R package that allows users to
 manage data exported directly from REDCap or using an API connection. This
 package includes several functions designed for pre-processing data,
 generating reports of queries such as outliers or missing values, and
 following up on the identified queries. 'REDCap' (Research Electronic Data
 CAPture; <https://projectredcap.org>) is a web application developed at
 Vanderbilt University, designed for creating and managing online surveys and
 databases and the REDCap API is an interface that allows external
 applications to connect to REDCap remotely, and is used to programmatically
 retrieve or modify project data or settings within REDCap, such as importing
 or exporting data.

Package: r-cran-redcapexporter
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-keyring, r-cran-lubridate, r-cran-rjson
Suggests: r-cran-devtools, r-cran-fs, r-cran-getpass, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-qwraps2, r-cran-rmarkdown, r-cran-secret
Filename: pool/dists/focal/main/r-cran-redcapexporter_0.3.1-1.ca2004.1_all.deb
Size: 121748
MD5sum: fddc51c3697641a52c238b36f2c5192b
SHA1: 742f81380287a4620c0f7cdce5d06fd46d2651a1
SHA256: f6ddf963dcbb4577ed4e7942238bbdea23855875f4d45eb8f7b9826a2e8683ec
SHA512: 152263fad0ec6b096f8494f06407fc9c0f2c4bc37bbf465e677520d0e625cc0fa2324da9f99ff11aadd91e2bf14c6ef8ae47c0ca5e2623f3d38798cc54624003
Homepage: https://cran.r-project.org/package=REDCapExporter
Description: CRAN Package 'REDCapExporter' (Automated Construction of R Data Packages from REDCap Projects)
 Export all data, including metadata, from a REDCap (Research Electronic Data
 Capture) Project via the REDCap API
 <https://projectredcap.org/wp-content/resources/REDCapTechnicalOverview.pdf>.
 The exported (meta)data will be processed and formatted into a stand alone R
 data package which can be installed and shared between researchers.  Several
 default reports are generated as vignettes in the resulting package.

Package: r-cran-redcapr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2440
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-covr, r-cran-dbi, r-cran-kableextra, r-cran-knitr, r-cran-odbc, r-cran-purrr, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-testthat, r-cran-tidyselect, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-redcapr_1.4.0-1.ca2004.1_all.deb
Size: 1220604
MD5sum: 3a4ef9e5faf98af3274212a25f44eabf
SHA1: ac79f4bb46141f8ad95c57d41a1e278ff4786e70
SHA256: 7e58ab2bac79b90bbfec0ac3b3b88a7bccc2f717b48407d5d3cce07f22a2fb8f
SHA512: e9521a646b0e756fc8f1854b1c46d7a2fb4dfa8de725af25b9b58af75b02efdec225aaae888e804e64b96a97a3fea42b64f297585d36d22887ad8ba17acd320d
Homepage: https://cran.r-project.org/package=REDCapR
Description: CRAN Package 'REDCapR' (Interaction Between R and REDCap)
 Encapsulates functions to streamline calls from R to the REDCap API.  REDCap
 (Research Electronic Data CAPture) is a web application for building and
 managing online surveys and databases developed at Vanderbilt University.
 The Application Programming Interface (API) offers an avenue to access and
 modify data programmatically, improving the capacity for literate and
 reproducible programming.

Package: r-cran-redcaptidier
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2973
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-lobstr, r-cran-lubridate, r-cran-purrr, r-cran-redcapr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-formattable, r-cran-pillar, r-cran-vctrs, r-cran-readr, r-cran-forcats
Suggests: r-cran-covr, r-cran-knitr, r-cran-labelled, r-cran-lintr, r-cran-openxlsx2, r-cran-prettyunits, r-cran-rmarkdown, r-cran-skimr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-redcaptidier_1.2.3-1.ca2004.1_all.deb
Size: 1977704
MD5sum: bc34768e172d05111172f8e18fba58d3
SHA1: ae94f7c5fd29cd18ec241e49e60fde99a9340d14
SHA256: 78f938f5d99bccd67f01c6197e051eb7ba5f228c873757829ef165b28d71ac4f
SHA512: 2762b5bc0e7566761be243d5d54d2b35c7680551db3dee30233db7fda12ec19f398ac26f6516421251b05811609373dacb5416feddb040f95ade54ca983b9c31
Homepage: https://cran.r-project.org/package=REDCapTidieR
Description: CRAN Package 'REDCapTidieR' (Extract 'REDCap' Databases into Tidy 'Tibble's)
 Convert 'REDCap' exports into tidy tables for easy handling of 'REDCap'
 repeat instruments and event arms.

Package: r-cran-redcas
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-redcas_0.1.1-1.ca2004.1_all.deb
Size: 365348
MD5sum: 0548ee11ac96af7aab5451212ac13c84
SHA1: 8af202bf702b3898f062245b67a8bc96521e9892
SHA256: eabd0e2a1e4144660d10c713741a7e0cd2b1bf3bfa7aad72fef85593209d7314
SHA512: 6b8e82f548b213905f4f1ca14d1f11944298a5f097bf4a9cd5349ccb6f3667cb7f85c08bf51e895ff9624e4f80df15c336fef4cbae4ca15674c97419d3065391
Homepage: https://cran.r-project.org/package=redcas
Description: CRAN Package 'redcas' (An Interface to the Computer Algebra System 'REDUCE')
 'REDUCE' is a portable general-purpose computer algebra system supporting
 scalar, vector, matrix and tensor algebra, symbolic differential and
 integral calculus, arbitrary precision numerical calculations and output in
 'LaTeX' format. 'REDUCE' is based on 'Lisp' and is available on the two
 dialects 'Portable Standard Lisp' ('PSL') and 'Codemist Standard Lisp'
 ('CSL'). The 'redcas' package provides an interface for executing arbitrary
 'REDUCE' code interactively from 'R', returning output as character vectors.
 'R' code and 'REDUCE' code can be interspersed. It also provides a
 specialized function for calling the 'REDUCE' feature for solving systems of
 equations, returning the output as an 'R' object designed for the purpose. A
 further specialized function uses 'REDUCE' features to generate 'LaTeX'
 output and post-processes this for direct use in 'LaTeX' documents, e.g.
 using 'Sweave'.

Package: r-cran-redditadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-redditadsr_0.1.0-1.ca2004.1_all.deb
Size: 22296
MD5sum: 081eb334f580ea52c396521e72827095
SHA1: 1401267ab55bba07aa95e4086d54a6acf77fb2d1
SHA256: 80e26f332a19b81f31ed289aa3f6982e16354708acc60a3ce28562722a372ddc
SHA512: f6effc5ab62442918bb70bec3d999f97d2fbfe48c15e9a932b8dd0cf76904ed9e1f0bf14883dc7fb0f5f29a1863660d44494b6eb8fcd5fb6c63fe0f7a417d3e0
Homepage: https://cran.r-project.org/package=redditadsR
Description: CRAN Package 'redditadsR' (Get Reddit Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from reddit Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-redditextractor
Architecture: all
Version: 3.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjsonio
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redditextractor_3.0.9-1.ca2004.1_all.deb
Size: 437924
MD5sum: cc22305be5ac83796ce85f2264ec7b70
SHA1: aabe72771d591661a4a83c0021a9b44be04be8a4
SHA256: 92a5b681170b3a1ad2ddde28bc7193a7f3ccdfc148d8f845acf5c51035926fb2
SHA512: 2b3cf27a2f616d7f771782856a036a3b05534f43b244cabffc04426b3fe2497a17bd13b2bc23b9d7cb74a92b63d366d10a4b762ce54eb06696143f8d03770aba
Homepage: https://cran.r-project.org/package=RedditExtractoR
Description: CRAN Package 'RedditExtractoR' (Reddit Data Extraction Toolkit)
 A collection of tools for extracting structured data from
 <https://www.reddit.com/>.

Package: r-cran-reddprec
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-foreach, r-cran-doparallel, r-cran-reshape, r-cran-qmap, r-cran-breakpoints, r-cran-kendall, r-cran-car, r-cran-geosphere, r-cran-gridextra, r-cran-lattice, r-cran-pracma, r-cran-xts, r-cran-zoo, r-cran-e1071, r-cran-neuralnet, r-cran-randomforest, r-cran-reshape2, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-reddprec_3.0.0-1.ca2004.1_all.deb
Size: 169440
MD5sum: f2c233748a1e5b0c421cf05c44ee1f4d
SHA1: 2e87aa2379b841473d24e2f0b6469dca202b3e06
SHA256: 8457498c4b27d749b047b0bca15a17efbc5e0768628b8a42a50f1f5eb384cdba
SHA512: 9593078764a447110f89ec50909b2000ff98fe4ea35ffbc3c3c801691702565cf1bb058f4710fc98d6e3927c6cb267ff0879ce0b9f159f3baa04a837d8017ab4
Homepage: https://cran.r-project.org/package=reddPrec
Description: CRAN Package 'reddPrec' (Reconstruction of Daily Data - Precipitation)
 Applies quality control to daily precipitation observations; reconstructs
 the original series by estimating precipitation in missing values; and
 creates gridded datasets of daily precipitation.

Package: r-cran-reddyprocncdf
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2543
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reddyproc
Suggests: r-cran-ncdf4, r-cran-rnetcdf, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-reddyprocncdf_1.1.4-1.ca2004.1_all.deb
Size: 397280
MD5sum: 44f8393d8614780c4d4264f20f304c07
SHA1: 975dbcf752b47c67eb856bcaf20c60dfc2159b40
SHA256: 11c688848d4a5d102bb6a4222a1f5a298f27ba0b6ef76b6879caabf134466bd9
SHA512: b8aba91139e313701c46d24c3a3dfc5669c6b290c738649ad20e08d4776b43b9c14d32af50ddd5aacd3ffc2149ba197ab21d8cb6019607a42b430977b972c40a
Homepage: https://cran.r-project.org/package=REddyProcNCDF
Description: CRAN Package 'REddyProcNCDF' (Reading Data from NetCDF Files for 'REddyProc')
 Extension to 'REddyProc' that allows reading data from netCDF files.

Package: r-cran-redi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-redi_1.0.0-1.ca2004.1_all.deb
Size: 136764
MD5sum: 32a4dc21ee15ad42375668acab957530
SHA1: c50a8629dea862faf7ecd297154d6f357fa16807
SHA256: 16b9c41b62d6f8ff49462b8f76b0b735a809c5542d8786bf6739ae07814ec4d2
SHA512: 43b9ade126c8a37ccab7b4458790cab61727b43fa9c2ed69198001045811718704fad9356915d38c8e084ed98812f7bd4c67371934424377d96c1411f5527d10
Homepage: https://cran.r-project.org/package=REDI
Description: CRAN Package 'REDI' (Robust Exponential Decreasing Index)
 Implementation of the Robust Exponential Decreasing Index (REDI), proposed
 in the article by Issa Moussa, Arthur Leroy et al. (2019)
 <https://bmjopensem.bmj.com/content/bmjosem/5/1/e000573.full.pdf>.  The REDI
 represents a measure of cumulated workload, robust to missing data,
 providing control of the decreasing influence of workload over time.
 Various functions are provided to format data, compute REDI, and visualise
 results in a simple and convenient way.

Package: r-cran-redirection
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pracma, r-cran-gtools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redirection_1.0.1-1.ca2004.1_all.deb
Size: 33656
MD5sum: ee1c8fa4c871a8ec65106f2f33a0d549
SHA1: 386f3c4b89486bfb7117ddb8c01cc0be7f27ff93
SHA256: 48bb5253a2f05ac59fc5b3a4010bdaea368ef555e805bdc0ba751c9ba32cde3b
SHA512: 15fb1322da11175aac63370ed394e00a2bedf9ff60aeec230554b64e17f5c5a9614bc14d9e90cea72423e34432eba160b4f0e717d415fc16d523435bdfad9aec
Homepage: https://cran.r-project.org/package=ReDirection
Description: CRAN Package 'ReDirection' (Predict Dominant Direction of Reactions of a Biochemical Network)
 Biologically relevant, yet mathematically sound constraints are used to
 compute the propensity and thence infer the dominant direction of reactions
 of a generic biochemical network. The reactions must be unique and their
 number must exceed that of the reactants,i.e., reactions >= reactants + 2.
 'ReDirection', computes the null space of a user-defined stoichiometry
 matrix. The spanning non-zero and unique reaction vectors (RVs) are
 combinatorially summed to generate one or more subspaces recursively.  Every
 reaction is represented as a sequence of identical components across all RVs
 of a particular subspace. The terms are evaluated with (biologically
 relevant bounds, linear maps, tests of convergence, descriptive statistics,
 vector norms) and the terms are classified into forward-, reverse- and
 equivalent-subsets. Since, these are mutually exclusive the probability of
 occurrence is binary (all, 1; none, 0).  The combined propensity of a
 reaction is the p1-norm of the sub-propensities, i.e., sum of the products
 of the probability and maximum numeric value of a subset (least upper bound,
 greatest lower bound). This, if strictly positive is the probable rate
 constant, is used to infer dominant direction and annotate a reaction as
 "Forward (f)", "Reverse (b)" or "Equivalent (e)".  The inherent
 computational complexity (NP-hard) per iteration suggests that a suitable
 value for the number of reactions is around 20.  Three functions comprise
 ReDirection. These are check_matrix() and reaction_vector() which are
 internal, and calculate_reaction_vector() which is external.

Package: r-cran-redisbasecontainer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dockerparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-redisbasecontainer_1.0.1-1.ca2004.1_all.deb
Size: 217152
MD5sum: fe5ffae724a82ae2245b13f9fddceeb8
SHA1: 8e8542308306c0ea561fbfbc13622ae130f6020f
SHA256: 3b96893b7dcf548156dbb20703d21b7f4a5bf891ca0ffbc5cf52f630b9f2ea35
SHA512: ad68c27e8281dea45a0a2f77d5452a337c2b4214b03217ebc28acd5b5b9baca41d31f045f6fad5afe934afade1fe607d30ac776cbeabc898dc0709616b88ef79
Homepage: https://cran.r-project.org/package=RedisBaseContainer
Description: CRAN Package 'RedisBaseContainer' (The Container for the DockerParallel Package)
 Providing the container for the DockerParallel package.

Package: r-cran-rediscover
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3809
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-poissonbinomial, r-cran-shiftconvolvepoibin, r-cran-matrixstats, r-bioc-maftools, r-cran-data.table, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-runit, r-bioc-biocstyle, r-bioc-biocgenerics, r-cran-dplyr, r-cran-kableextra, r-cran-magick, r-bioc-qvalue
Filename: pool/dists/focal/main/r-cran-rediscover_0.3.2-1.ca2004.1_all.deb
Size: 2773172
MD5sum: 574e062ed0e89c446a92228369188861
SHA1: c779484682090328522a24867a41856297a76b54
SHA256: 7ee3ca627a3cf1950ac9147683ecee487cbf51cb61ee86157608f09e55aecf51
SHA512: 941aa31aae0e97a7950c4415197f5cea03cef27d01715cdb67c19307d085bffb625b356b236bfefc610e769684cfcf6d3e1819ed814bccbdd640ea5405f67eac
Homepage: https://cran.r-project.org/package=Rediscover
Description: CRAN Package 'Rediscover' (Identify Mutually Exclusive Mutations)
 An optimized method for identifying mutually exclusive genomic events.  Its
 main contribution is a statistical analysis based on the Poisson-Binomial
 distribution that takes into account that some samples are more mutated than
 others. See [Canisius, Sander, John WM Martens, and Lodewyk FA Wessels.
 (2016) "A novel independence test for somatic alterations in cancer shows
 that biology drives mutual exclusivity but chance explains most
 co-occurrence." Genome biology 17.1 : 1-17.
 <doi:10.1186/s13059-016-1114-x>].  The mutations matrices are sparse
 matrices. The method developed takes advantage of the advantages of this
 type of matrix to save time and computing resources.

Package: r-cran-redistverse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-redist, r-cran-redistmetrics, r-cran-geomander, r-cran-ggredist, r-cran-sf, r-cran-censable, r-cran-tinytiger, r-cran-easycensus, r-cran-pl94171, r-cran-alarmdata, r-cran-cli, r-cran-birdie
Suggests: r-cran-wacolors, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-redistverse_0.1.0-1.ca2004.1_all.deb
Size: 101128
MD5sum: 9c0e39507615e630a8dfc08074590f32
SHA1: 2f7a75382b11f6cc2f87e08db27e72653e2362cc
SHA256: f896803856d80ab0622db35de5ef937204ded75cee5f82d1ff4ad0531b5f2bf1
SHA512: 50528331fc748fc2b60f256020c85de297989dc2ca44a8c31bb50f8ebefe07bdec1b77f7ffcd3b97d93cbea728536c3c564fe9ea90c04593b41821cd11a99920
Homepage: https://cran.r-project.org/package=redistverse
Description: CRAN Package 'redistverse' (Easily Install and Load Redistricting Software)
 Easy installation, loading, and control of packages for redistricting data
 downloading, spatial data processing, simulation, analysis, and
 visualization. This package makes it easy to install and load multiple
 'redistverse' packages at once. The 'redistverse' is developed and
 maintained by the Algorithm-Assisted Redistricting Methodology (ALARM)
 Project.  For more details see <https://alarm-redist.org>.

Package: r-cran-redlistr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-plyr, r-cran-sf, r-cran-terra
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redlistr_1.0.4-1.ca2004.1_all.deb
Size: 364728
MD5sum: 366fa5ba0a723defa94d25bfe1ceafc2
SHA1: 1064c57041e4063e02f53753606925a3c9f64cb5
SHA256: 2aea98c3bb27e13ac36e1728b79e5ee0134d0d3946b5c1a40985af2454d06b5e
SHA512: b4cad19ba896aa2588d14c39660d9c9b3d56d5ec3d64a01934adeb0f28e610a7f34d74fea18c3b24aa3c81b9188d94539208e860422079cb31f0c1e3bca9fcde
Homepage: https://cran.r-project.org/package=redlistr
Description: CRAN Package 'redlistr' (Tools for the IUCN Red List of Ecosystems and Species)
 A toolbox created by members of the International Union for Conservation of
 Nature (IUCN) Red List of Ecosystems Committee for Scientific Standards.
 Primarily, it is a set of tools suitable for calculating the metrics
 required for making assessments of species and ecosystems against the IUCN
 Red List of Threatened Species and the IUCN Red List of Ecosystems
 categories and criteria. See the IUCN website for detailed guidelines, the
 criteria, publications and other information.

Package: r-cran-redmonder
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-redmonder_0.2.0-1.ca2004.1_all.deb
Size: 50612
MD5sum: a71060cc237049213151c31ea79e4174
SHA1: d304729bf9ec89710c612cf2225c2a61b572f123
SHA256: 60fffd3f40cc3f48ddd6b115748786f346e9a4f45a4442747e40a61d30a88b03
SHA512: 7ebd57803256ee43cea3e9841e5d39fff7abf61ccabaf655a94900bf2b2c1aa929d107196191a3028d0ca82092d8c640487414a2e8b622de1ac0cf5243a68973
Homepage: https://cran.r-project.org/package=Redmonder
Description: CRAN Package 'Redmonder' (Microsoft(r)-Inspired Color Palettes)
 Provide color schemes for maps (and other graphics) based on the color
 palettes of several Microsoft(r) products. Forked from 'RColorBrewer'
 v1.1-2.

Package: r-cran-redoc
Architecture: all
Version: 2.0.0.75-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1303
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-plumber, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redoc_2.0.0.75-1.ca2004.1_all.deb
Size: 364016
MD5sum: 52c9067e855c27d8e9cd58b0cf65733d
SHA1: b354b40b3a62b6a31d24a15745a3576e264b68f4
SHA256: 61fd06994a4f89f2c0373298a912ad4a67838b00cc1f33fa6fa3b2735cb81a86
SHA512: 5ccdc725764da4e56858477f495ac7d73203d8330adea0f574f390e17ce57d953c22016adf1d700a56ca24a46b2710928283ea2f44c8aceb348b20c72bd30298
Homepage: https://cran.r-project.org/package=redoc
Description: CRAN Package 'redoc' (Generates 'Redoc' Documentation from an 'OpenAPI' Specification)
 A collection of 'HTML', 'JavaScript', 'CSS' and fonts assets that generate
 'Redoc' documentation from an 'OpenAPI' Specification:
 <https://redocly.com/redoc/>.

Package: r-cran-redquack
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4057
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-audio, r-cran-cli, r-cran-dbi, r-cran-httr2, r-cran-readr
Suggests: r-cran-arrow, r-cran-dplyr, r-cran-duckdb, r-cran-keyring, r-cran-pak, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-redquack_0.2.0-1.ca2004.1_all.deb
Size: 4034228
MD5sum: 2f13d90de7676a5b51126594ea8dda43
SHA1: e8e295ae80d265504473522a47f3d88a4fc5ded5
SHA256: 48114fb296248f59917574fb6eae8e9d5f793b2c46c4f163f10ec025f24d6604
SHA512: e1fa2758eadc54beab678519a935cf4ca33adad1e1b0920147775cede0604afd6cc21eb2dc086cec75fa8c5d8812987eaae393f3ed015da3dc4ed0dd586536e9
Homepage: https://cran.r-project.org/package=redquack
Description: CRAN Package 'redquack' (Transfer 'REDCap' Data to Database)
 Transfer 'REDCap' (Research Electronic Data Capture) data to a database with
 additional support for 'DuckDB'. Processes data in chunks to handle large
 datasets without exceeding available memory. Features include resuming
 incomplete transfers, automatically converting data types for 'DuckDB',
 tracking progress, and logging operations in the database.

Package: r-cran-redr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager
Filename: pool/dists/focal/main/r-cran-redr_1.0.1-1.ca2004.1_all.deb
Size: 457416
MD5sum: 6f68f9ee9613d14613d15a31e9d9a14f
SHA1: 7c67851cec40ad7f1769e315ca5484aadd13f30f
SHA256: ef7c5963ce5b1698c7c103c83ad32a4f7720109f0cd644a4fcb4a9b8b7c7cb40
SHA512: b4832fc2ef46dbb4f7d2cd480e7ae553c730b74867b7a2510c42185dce889e18971b20116c234d47530b0a51bc6c5f68871744a6a9c8ea8061c92a7d2602b1b7
Homepage: https://cran.r-project.org/package=redR
Description: CRAN Package 'redR' (REgularization by Denoising (RED))
 Regularization by Denoising uses a denoising engine to solve many image
 reconstruction ill-posed inverse problems. This is a R implementation of the
 algorithm developed by Romano et.al. (2016) <arXiv:1611.02862>. Currently,
 only the gradient descent optimization framework is implemented. Also, only
 the median filter is implemented as a denoiser engine. However, (almost) any
 denoiser engine can be plugged in. There are currently available 3
 reconstruction tasks: denoise, deblur and super-resolution. And again, any
 other task can be easily plugged into the main function 'RED'.

Package: r-cran-reemtree
Architecture: all
Version: 0.90.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme, r-cran-rpart
Suggests: r-cran-aer
Filename: pool/dists/focal/main/r-cran-reemtree_0.90.5-1.ca2004.1_all.deb
Size: 66660
MD5sum: aa8ccd6d8ec908c6059fb1747205dd3b
SHA1: ac1229d58c42967934cef7c9c6dd3700a0e2ddc1
SHA256: c3b13f313d1d442e64474035c623820b9e00f75466f7628bc8ea793ff1b971ba
SHA512: 2a776088b2e8ffd87cfda80859635724684579a51e7877f1bf38f57f5138a7d7d491d206c904f79c294a50a04019db2c3f84fd0389c1c8bc4b5746338e1c11c3
Homepage: https://cran.r-project.org/package=REEMtree
Description: CRAN Package 'REEMtree' (Regression Trees with Random Effects for Longitudinal (Panel)Data)
 A data mining approach for longitudinal and clustered data, which combines
 the structure of mixed effects model with tree-based estimation methods. See
 Sela, R.J. and Simonoff, J.S. (2012) RE-EM trees: a data mining approach for
 longitudinal and clustered data <doi:10.1007/s10994-011-5258-3>.

Package: r-cran-ref.icar
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 938
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-sp, r-cran-spdep, r-cran-mvtnorm, r-cran-coda, r-cran-mcmcglmm, r-cran-rdpack, r-cran-pracma, r-cran-classint, r-cran-dplyr, r-cran-ggplot2, r-cran-gtools
Suggests: r-cran-maps, r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-rcrossref, r-cran-spdata, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-ref.icar_2.0.2-1.ca2004.1_all.deb
Size: 574372
MD5sum: 277e47320bddf00e9b79099bcebbcdae
SHA1: 2e6ccb4329a93fb4821bd46f08b1d37b1717292a
SHA256: 31bbf94afabad99b83b0d53482b0cf962e0ffac13f64c59e7edc0d868bb49a01
SHA512: 3dba546bf902f23be77222d154849ae2fd50e2ecbff4dcdeaf4d16e4b94be8a5a9d95452f126377de0c01f1ceccf44cb7708bcb4132a0f8c93caa19424502151
Homepage: https://cran.r-project.org/package=ref.ICAR
Description: CRAN Package 'ref.ICAR' (Objective Bayes Intrinsic Conditional Autoregressive Model forAreal Data)
 Implements an objective Bayes intrinsic conditional autoregressive prior.
 This model provides an objective Bayesian approach for modeling spatially
 correlated areal data using an intrinsic conditional autoregressive prior on
 a vector of spatial random effects.

Package: r-cran-refa
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-refa_0.1.0-1.ca2004.1_all.deb
Size: 38400
MD5sum: 68cf1ff8f558e5ce88496dc9fee8c08a
SHA1: b56aee94ae9fb54ff5576082d320f7ff1e57961c
SHA256: 1fa825578c664ce01227d1db180cefa436108802532870d7f1498fc062270039
SHA512: adc5f2cd8b3b7aef6b2b308cd247e6dd5a3af3571986fa548a5037ef0a74865a3f94d9594ddeb9fa99d1e5b253598abf1000a46c91e02a1308771adb180d831d
Homepage: https://cran.r-project.org/package=REFA
Description: CRAN Package 'REFA' (Robust Exponential Factor Analysis)
 A robust alternative to the traditional principal component estimator is
 proposed within the framework of factor models, known as Robust Exponential
 Factor Analysis, specifically designed for the modeling of high-dimensional
 datasets with heavy-tailed distributions. The algorithm estimates the latent
 factors and the loading by minimizing the exponential squared loss function.
 To determine the appropriate number of factors, we propose a modified rank
 minimization technique, which has been shown to significantly enhance
 finite-sample performance.

Package: r-cran-refdb
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1402
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-readr, r-cran-dplyr, r-cran-stringr, r-cran-tidyr, r-cran-rentrez, r-cran-bold, r-cran-taxize, r-cran-xml2, r-cran-bioseq, r-cran-ape, r-cran-igraph, r-cran-ggplot2, r-cran-ggraph, r-cran-yaml, r-cran-rlang, r-cran-rmarkdown, r-cran-leaflet
Suggests: r-cran-testthat, r-cran-covr, r-cran-dt, r-cran-knitr, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-refdb_0.1.1-1.ca2004.1_all.deb
Size: 681044
MD5sum: 443bdc8192b52f8973b0237960464f4c
SHA1: 92d8b6b52be40b4a061d44cf11daa4d8c1ef8a2b
SHA256: 10ac1f3560fc7b00981b0efe1404251bf19b6810c4e1166635206db9b980cc5e
SHA512: 2579d0e32dcfc0729356d82787af27228a2d0159cab9bc0d698cc62a52db3956eb28d0617b7aee9f2649eafc1f5f5396861284e93cd31cc9aec6d283f23e9b78
Homepage: https://cran.r-project.org/package=refdb
Description: CRAN Package 'refdb' (A DNA Reference Library Manager)
 Reference database manager offering a set of functions to import, organize,
 clean, filter, audit and export reference genetic data. Provide functions to
 download sequence data from Bold Systems (<https://www.boldsystems.org/>)
 and NCBI GenBank <https://www.ncbi.nlm.nih.gov/genbank/>.  Designed as an
 environment for semi-automatic and assisted construction of reference
 databases and to improve standardization and repeatability in barcoding and
 metabarcoding studies.

Package: r-cran-refer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-elist, r-cran-matchr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-refer_0.1.0-1.ca2004.1_all.deb
Size: 131020
MD5sum: a0f2c54036c3d1939de9d6a9b4c9af67
SHA1: f19f30af84e6f90eab33faf3f819e9c455a174a5
SHA256: 2bf2fa16f1630ed11beca0db8b46ecd66a4f59c847fcd0103221b56945d1529f
SHA512: 7a165e9be11e39020fd2032777dc76c28bf02e18e47d9359328eaec90f93d7f96803fe1d56b57b117324cd8ea0a5089ad9212cd27d3c33f538fde1909f5c4c33
Homepage: https://cran.r-project.org/package=refer
Description: CRAN Package 'refer' (Create Object References)
 Allows users to easily create references to R objects then 'dereference'
 when needed or modify in place without using reference classes,
 environments, or active bindings as workarounds. Users can also create
 expression references that allow subsets of any object to be referenced or
 expressions containing references to multiple objects.

Package: r-cran-referenceintervals
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-extremevalues, r-cran-mass, r-cran-outliers
Filename: pool/dists/focal/main/r-cran-referenceintervals_1.3.1-1.ca2004.1_all.deb
Size: 75688
MD5sum: b966c69f747b653f31d1188149fba86f
SHA1: 254b081a52d10e1951168b7d15504dd3503bce8d
SHA256: a87c36b8f06b6a4afe52889a531834eb4cf2bc09cd84a9fe7328aa1f5a6cef22
SHA512: 7c0097d8c4d2f71c31977220ed26c69fc940e087c3e94102910f66426488c91e1beeb1ec70d5e87b6d9fe42d555e4eadfc7d56c646f9a33f02b5de99d4b6b2de
Homepage: https://cran.r-project.org/package=referenceIntervals
Description: CRAN Package 'referenceIntervals' (Reference Intervals)
 This is a collection of tools to allow the medical professional to calculate
 appropriate reference ranges (intervals) with confidence intervals around
 the limits for diagnostic purposes.

Package: r-cran-reffectivepred
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yaml, r-cran-config, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-reffectivepred_1.0.1-1.ca2004.1_all.deb
Size: 107340
MD5sum: d71b759b343a08f0ba08cbfdb99aac33
SHA1: a445e9e0a9649af2e6c48322916461f2ca7baef7
SHA256: b41903b2914d29915d05fc9677d3d64f3c1eb66b0eff87ed7a92432d42b9ce58
SHA512: 2c7884925825152e65fc9be7dc4855d31c99b9d75b261e7abb62364c0f1a7462f72bbac2306c58107e473d1fee0abcbaae7eb7660cfd44114f2afde54c275bf0
Homepage: https://cran.r-project.org/package=REffectivePred
Description: CRAN Package 'REffectivePred' (Pandemic Prediction Model in an SIRS Framework)
 A suite of methods to fit and predict case count data using a compartmental
 SIRS (Susceptible – Infectious – Recovered – Susceptible) model, based on an
 assumed specification of the effective reproduction number. The significance
 of this approach is that it relates epidemic progression to the average
 number of contacts of infected individuals, which decays as a function of
 the total susceptible fraction remaining in the population. The main
 functions are pred.curve(), which computes the epidemic curve for a set of
 parameters, and estimate.mle(), which finds the best fitting curve to
 observed data. The easiest way to pass arguments to the functions is via a
 config file, which contains input settings required for prediction, and the
 package offers two methods, navigate_to_config() which points the user to
 the configuration file, and re_predict() for starting the fit-predict
 process. The main model was published in Razvan G. Romanescu et al.
 <doi:10.1016/j.epidem.2023.100708>.

Package: r-cran-refiner
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4501
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ash, r-cran-future, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-refiner_1.6.2-1.ca2004.1_all.deb
Size: 4064072
MD5sum: 7eee14192ddba698dc12ff4f12016bb4
SHA1: 39f214ce6a37ca4c556ae730a47f996db2f47272
SHA256: bfbe7ad7c45db102454c954b1e86e02154cc59cb059bd5e61e3408d91f9dccad
SHA512: 75646f59745693b401a2a2bda431bbb94041e0d94703ada331fc63f14ba298a4d403c710dc72cb90d193fab0ab8f0521e306a981e980949720bb41383a759044
Homepage: https://cran.r-project.org/package=refineR
Description: CRAN Package 'refineR' (Reference Interval Estimation using Real-World Data)
 Indirect method for the estimation of reference intervals using Real-World
 Data ('RWD'). It takes routine measurements of diagnostic tests, containing
 pathological and non-pathological samples as input and uses sophisticated
 statistical methods to derive a model describing the distribution of the
 non-pathological samples. This distribution can then be used to derive
 reference intervals. Furthermore, the package offers functions for printing
 and plotting the results of the algorithm.  See ?refineR for a more
 comprehensive description of the features.  Version 1.0 of the algorithm is
 described in detail in 'Ammer et al. (2021)'
 <doi:10.1038/s41598-021-95301-2>. Additional guidance on the usage of the
 algorithm is given in 'Ammer et al. (2023)' <doi:10.1093/jalm/jfac101>.

Package: r-cran-refitgaps
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refitgaps_0.1.2-1.ca2004.1_all.deb
Size: 107124
MD5sum: c19e08280af6f77d5b8f55877448588c
SHA1: dbe1b910bc2ad4ab8fbf2c2727e105bb73accd5e
SHA256: a3f0978ffafe119b9e74ecba6f96b06dea1a70a69e1e608a49c19b45e9a434fb
SHA512: 787de266d12207f01e2d0b0df6db2db80d0fde9d1d7aea5407c88080c09f5b537c9338be7d680791dbc913c3f97040368840b88c68e767efcf82ca5e3c56bda3
Homepage: https://cran.r-project.org/package=refitgaps
Description: CRAN Package 'refitgaps' (Reduce the Number of Holes in the School Timetable)
 Reallocating the respective lessons by hours (respecting the constraints
 induced by the existence of coupled lessons) so that the total number of
 gaps is as small as possible.

Package: r-cran-refitme
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2253
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-mgcv, r-cran-vgam, r-cran-vgamdata, r-cran-caret, r-cran-expm, r-cran-mvtnorm, r-cran-sandwich, r-cran-dplyr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-refitme_1.3.1-1.ca2004.1_all.deb
Size: 2012228
MD5sum: 2ad8a58fa3300f8e5caec473fbd5e107
SHA1: 23350e7eeee7469d2e8208cf94650823dfb64d26
SHA256: fc3c4956144ace797816723eb021e4e664d88203f366ac144cde965fd399d712
SHA512: 1a2bb4c972dd30381b0ccd4ce463d14bd9dc84da2cc4d693dac71ca115ab8ba2e867a955e3e28757273a1a12f051f6b673b0ceb40b312f121bab482d4d754575
Homepage: https://cran.r-project.org/package=refitME
Description: CRAN Package 'refitME' (Measurement Error Modelling using MCEM)
 Fits measurement error models using Monte Carlo Expectation Maximization
 (MCEM). For specific details on the methodology, see: Greg C. G. Wei &
 Martin A. Tanner (1990) A Monte Carlo Implementation of the EM Algorithm and
 the Poor Man's Data Augmentation Algorithms, Journal of the American
 Statistical Association, 85:411, 699-704
 <doi:10.1080/01621459.1990.10474930> For more examples on measurement error
 modelling using MCEM, see the 'RMarkdown' vignette: "'refitME' R-package
 tutorial".

Package: r-cran-reflectr
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-reflectr_2.1.3-1.ca2004.1_all.deb
Size: 56496
MD5sum: f31cd0cf9531ae4195f28c86e63a25e3
SHA1: 249e2da5a67f0925a9339aaf49807ec4a9d08efb
SHA256: f5192c781ea177037484cd97629445a6e9caf5d8f560202a66fe4688e786a6d0
SHA512: 84a68f6e2badbfa2eef07cd7ea4af1b7c43381eb6fbb3c13d7ad7579a9afd53bb817ff99271469c8d49295a7de26a7b4a9e28f1a9f3700562757dd8c223074c2
Homepage: https://cran.r-project.org/package=reflectR
Description: CRAN Package 'reflectR' (Automatic Scoring of the Cognitive Reflection Test)
 A tool for researchers and psychologists to automatically code open-ended
 responses to the Cognitive Reflection Test (CRT), a widely used class of
 tests in cognitive science and psychology for assessing an individual's
 propensity to override an incorrect gut response and engage in further
 reflection to find a correct answer. This package facilitates the
 standardization of Cognitive Reflection Test responses analysis across large
 datasets in cognitive psychology, decision-making, and related fields. By
 automating the coding process, it not only reduces manual effort but also
 aims to reduce the variability introduced by subjective interpretation of
 open-ended responses, contributing to a more consistent and reliable
 analysis. 'reflectR' supports automatic coding and machine scoring for the
 original English-language version of CRT (Frederick, 2005)
 <doi:10.1257/089533005775196732>, as well as for CRT4 and CRT7, 4- and
 7-item versions, respectively (Toplak et al., 2014)
 <doi:10.1080/13546783.2013.844729>, for the CRT-long version built via Item
 Response Theory by Primi and colleagues (2016) <doi:10.1002/bdm.1883>, and
 for CRT-2 by Thomson & Oppenheimer (2016) <doi:10.1017/s1930297500007622>.
 Note: While 'reflectR' draws inspiration from the principles and scientific
 literature underlying the different versions of the Cognitive Reflection
 Test, it has been independently developed and does not hold any affiliation
 with any of the original authors.  The development of this package benefited
 significantly from the kind insight and suggestion provided by Dr. Keela
 Thomson, whose contribution is gratefully acknowledged.  Additional
 gratitude is extended to Dr. Paolo Giovanni Cicirelli, Prof. Marinella
 Paciello, Dr. Carmela Sportelli, and Prof. Francesca D'Errico, who not only
 contributed to the manual multi-rater coding of CRT-2 items but also
 profoundly influenced the understanding of the importance and practical
 relevance of cognitive reflection within personality, social, and cognitive
 psychology research.  Acknowledgment is also due to the European project
 STERHEOTYPES (STudying European Racial Hoaxes and sterEOTYPES) for funding
 the data collection that produced the datasets initially used for manual
 multi-rater coding of CRT-2 items.

Package: r-cran-reflimr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reflimr_1.1.0-1.ca2004.1_all.deb
Size: 174984
MD5sum: 7c6580d0a1b5069d858b20c17b3867d2
SHA1: 4933dd3eb79c4f8d42caa6577ad248105fae06aa
SHA256: 3d7217ba89898e142a2adf8f2513368c8c4af3d4467cf8a641f7b584ba77ad17
SHA512: 36e47f77085c16a47e92635d85292c0a007c54a4b7e94f662f2b9804c5d1b48986e250fc77a9119725d24dcd097a10350fc8239b712d1a77feba64d901255dc9
Homepage: https://cran.r-project.org/package=reflimR
Description: CRAN Package 'reflimR' (Reference Limit Estimation Using Routine Laboratory Data)
 Uses an indirect method based on truncated quantile-quantile plots to
 estimate reference limits from routine laboratory data: Georg Hoffmann and
 colleagues (2024) <doi: 10.3390/jcm13154397>. The principle of the method
 was developed by Robert G Hoffmann (1963)
 <doi:10.1001/jama.1963.03060110068020> and modified by Georg Hoffmann and
 colleagues (2015) <doi:10.1515/labmed-2015-0104>, and Frank Klawonn and
 colleagues (2020) <doi:10.1515/labmed-2020-0005>, (2022)
 <doi:10.1007/978-3-031-15509-3_31>.

Package: r-cran-refmanager
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1079
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xml2, r-cran-jsonlite, r-cran-plyr, r-cran-httr, r-cran-lubridate, r-cran-stringr, r-cran-bibtex
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refmanager_1.4.0-1.ca2004.1_all.deb
Size: 749700
MD5sum: 495ba19ee2efb41df876d2983d6d82d4
SHA1: 8fd61d00c054a648cb1de315d2c788a11e91e8e2
SHA256: 17631e50ce72ebf630533155eef1807e7354c348f6d6c7e9d0a7cb47d141668d
SHA512: 353652790f7a4c0bcd1d69922728b3dc6fc7305fd2a258ab2683e29059ec4300ebfc13634e2fbe474ac8cca99cc440d924b30bcd8fb095c4616808cc0a9a9d80
Homepage: https://cran.r-project.org/package=RefManageR
Description: CRAN Package 'RefManageR' (Straightforward 'BibTeX' and 'BibLaTeX' Bibliography Management)
 Provides tools for importing and working with bibliographic references. It
 greatly enhances the 'bibentry' class by providing a class 'BibEntry' which
 stores 'BibTeX' and 'BibLaTeX' references, supports 'UTF-8' encoding, and
 can be easily searched by any field, by date ranges, and by various formats
 for name lists (author by last names, translator by full names, etc.).
 Entries can be updated, combined, sorted, printed in a number of styles, and
 exported. 'BibTeX' and 'BibLaTeX' '.bib' files can be read into 'R' and
 converted to 'BibEntry' objects. Interfaces to 'NCBI Entrez', 'CrossRef',
 and 'Zotero' are provided for importing references and references can be
 created from locally stored 'PDF' files using 'Poppler'. Includes functions
 for citing and generating a bibliography with hyperlinks for documents
 prepared with 'RMarkdown' or 'RHTML'.

Package: r-cran-refnr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refnr_0.1.0-1.ca2004.1_all.deb
Size: 13220
MD5sum: e90e1577a18e7df72c2db64aef5fc52d
SHA1: e6100f0b7758a9dbf46d39a92b975d29757dffca
SHA256: fbdff7a0db87cdd6a12b6c86b00cbb3d9eeb9654488730c46e72774a6b722884
SHA512: 354f5d43f866ba23df097061436032824217fb9cf9f2dc090f48dd900b7a892015ce8449d4d7ac250ad50d93f98a692321f3b385978de4be1db74ad00eb3d550
Homepage: https://cran.r-project.org/package=refnr
Description: CRAN Package 'refnr' (Refining Data Table Using a Set of Formulas)
 A tool for refining data frame with formulas.

Package: r-cran-reformulas
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-rdpack
Suggests: r-cran-lme4, r-cran-tinytest, r-cran-glmmtmb
Filename: pool/dists/focal/main/r-cran-reformulas_0.4.1-1.ca2004.1_all.deb
Size: 126384
MD5sum: 21a9ce88650d24249df9b51b15edb2a5
SHA1: 674278e0bd64f38f6fb9359ce7e39aaf2d63c296
SHA256: 75f782fcfc434207b50a36f3610cf1c75f087433ef5d019c4eb45011d6566033
SHA512: 6e73b87bdc17dcf9cb742c42ae566facda6f920c9d51955ce02f2fee03611035a70b21baf799af52e21ae05d7a360c8fe785bc47222f581afca7c9d91512b8ac
Homepage: https://cran.r-project.org/package=reformulas
Description: CRAN Package 'reformulas' (Machinery for Processing Random Effect Formulas)
 Takes formulas including random-effects components (formatted as in 'lme4',
 'glmmTMB', etc.) and processes them. Includes various helper functions.

Package: r-cran-refreg
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ks, r-cran-kernsmooth, r-cran-mgcv, r-cran-gridextra, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-sp, r-cran-stringr, r-cran-foreach, r-cran-doparallel, r-cran-pracma, r-cran-misc3d, r-cran-rgl, r-cran-mbend, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-refreg_0.1.1-1.ca2004.1_all.deb
Size: 300736
MD5sum: 19e7634a8d1d6db5655701384c713dda
SHA1: 28a868e4b46810aa8b9dcf05bd6add7b2300be77
SHA256: 28a32733b4163ce7d3646b080677610f198b4b42c48c60c45706f05c14fa2c21
SHA512: e9e47f38320d6d748591860fcceec07268f5221b480d1306a1e2ca300f5c5e5cba9af1979df56459a2d5b59cf4a9716fc29bfb51dc9dbf31434d540b4d68e85b
Homepage: https://cran.r-project.org/package=refreg
Description: CRAN Package 'refreg' (Conditional Multivariate Reference Regions)
 An R package for estimating conditional multivariate reference regions.  The
 reference region is non parametrically estimated using a kernel density
 estimator.  Covariates effects on the multivariate response means vector and
 variance-covariance matrix, thus on the region shape, are estimated by
 flexible additive predictors.  Continuous covariates non linear effects
 might be estimated using penalized splines smoothers.  Confidence intervals
 for the covariates estimated effects might be derived from bootstrap
 resampling. Kernel density bandwidth can be estimated with different
 methods, including a method that optimize the region coverage. Numerical,
 and graphical, summaries can be obtained by the user in order to evaluate
 reference region performance with real data.  Full mathematical details can
 be found in <doi:10.1002/sim.9163> and <doi:10.1007/s00477-020-01901-1>.

Package: r-cran-refreshr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-crayon, r-cran-lubridate, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-refreshr_0.1.0-1.ca2004.1_all.deb
Size: 30284
MD5sum: 3f5b08c17642eb8a8b74fbe82c467cb4
SHA1: d386272b524d481a532c9b0fcd9732e9217d7240
SHA256: a475f5d0c3b644f713554a372bf79423e28faf8be50c4001d6d3de6830fde5a1
SHA512: c77cc31e2deba3549d045d99738031992e7746fa7caf28408d665699dba29a06827d1386d5b088012aef04ea7ac9f23d2188709aecedc1d295a4246b35c07e32
Homepage: https://cran.r-project.org/package=refreshr
Description: CRAN Package 'refreshr' (Work with Refreshable Datasets that Update their DataAutomatically)
 Connects dataframes/tables with a remote data source. Raw data downloaded
 from the data source can be further processed and transformed using data
 preparation code that is also baked into the dataframe/table. Refreshable
 dataframes can be shared easily (e.g. as R data files). Their users do not
 need to care about the inner workings of the data update mechanisms.

Package: r-cran-refseqr
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Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-iranges, r-cran-rentrez, r-cran-tibble, r-bioc-biostrings
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-refseqr_1.1.5-1.ca2004.1_all.deb
Size: 65864
MD5sum: 7454ad07617f5873e54c5a130311d376
SHA1: fa4a20709ff570afe4a8c4d5aef4771dc7137e94
SHA256: f1175bd859ea82454a793ec3a0569da755583668ddb44ef13b5dcbcd12b4cb75
SHA512: 871525fb228ed8a26d24a54557e2dceb24be2a9fe27d1a0e55feaf614a9c66a19043b4c98864771b02be4cd9b7a1708837630aa7def3e93a077d644aeca0644d
Homepage: https://cran.r-project.org/package=refseqR
Description: CRAN Package 'refseqR' (Common Computational Operations Working with RefSeq Entries(GenBank))
 Fetches NCBI data (RefSeq <https://www.ncbi.nlm.nih.gov/refseq/> database)
 and provides an environment to extract information at the level of gene,
 mRNA or protein accessions.

Package: r-cran-refset
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refset_0.1.1-1.ca2004.1_all.deb
Size: 39008
MD5sum: a7c0dd791c35bf611e1282062e3cc58f
SHA1: d600f5fe39db8bd5d12195b98f8a5b83ab5db055
SHA256: 7423c03f0882c071995fc3e85d8ee7a3588971eef6e654c5e623f89e8f308d3b
SHA512: 54f4acdca8fc8b4b77b0a69bfa31f044a8a926737c2ba8c965d8e86c7d2855df9134fb233ff3d9d5c003188287b1146110f84a63dcd5c68ed08f15451637274a
Homepage: https://cran.r-project.org/package=refset
Description: CRAN Package 'refset' (Subsets with Reference Semantics)
 Provides subsets with reference semantics, i.e. subsets which automatically
 reflect changes in the original object, and which optionally update the
 original object when they are changed.

Package: r-cran-refuge
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-dplyr, r-cran-httr
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-refuge_0.3.3-1.ca2004.1_all.deb
Size: 190248
MD5sum: 0b19ba15c57b07dc644eefa2d98a9404
SHA1: fad195c35d254e6729d15c0d93ccdf009481becd
SHA256: 37807e9233b188da854b7d6abe352fa86b686ec9769b249c5dc9ed7c56f90a36
SHA512: abaf4603b58bb5bbddefbcc3bff6f913fb4489d47dfd77f6ded57369bf05c5bbf55316172703d6fcea0daa33fcce66ccb03ab1fc6b249d983b90324a8e3f6cdf
Homepage: https://cran.r-project.org/package=refuge
Description: CRAN Package 'refuge' (Locate Trans and Intersex-Friendly Toilets)
 Access the 'Refuge' API, a web-application for locating trans and
 intersex-friendly restrooms, including unisex and accessible restrooms.
 Includes data on the location of restrooms, along with directions, comments,
 user ratings and amenities. Coverage is global, but data is most
 comprehensive in the United States.  See
 <https://www.refugerestrooms.org/api/docs/> for full API documentation.

Package: r-cran-refugees
Architecture: all
Version: 2024.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4287
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refugees_2024.12.0-1.ca2004.1_all.deb
Size: 4335796
MD5sum: 1b4a2616245d56be81fea00e592b20ef
SHA1: e58f6dde85a1e2552e4c1ad0b7f5fda9d84712e1
SHA256: a5d4ca17f34dab6ba37fd4e8b4ea32ffcd928a4d88f5f001966ef8b95e235349
SHA512: 8724a839c7f228aa91476cb3084c6bf81c2905bc9fb652a7c6b04ffba6185176b4c93a2d99ef7e7810b7082ddf7ab12ccaf66e7a555620b0f39ce75c6a58025b
Homepage: https://cran.r-project.org/package=refugees
Description: CRAN Package 'refugees' (UNHCR Refugee Population Statistics Database)
 The Refugee Population Statistics Database published by The Office of The
 United Nations High Commissioner for Refugees (UNHCR) contains information
 about forcibly displaced populations spanning more than 70 years of
 statistical activities.  It covers displaced populations such as refugees,
 asylum-seekers and internally displaced people, including their
 demographics.  Stateless people are also included, most of who have never
 been displaced.  The database also reflects the different types of solutions
 for displaced populations such as repatriation or resettlement.  More
 information on the data and methodology can be found on the UNHCR Refugee
 Data Finder <https://www.unhcr.org/refugee-statistics/>.

Package: r-cran-refund.shiny
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-shiny, r-cran-reshape2, r-cran-dplyr, r-cran-gridextra, r-cran-lme4, r-cran-plotly, r-cran-refund
Suggests: r-cran-testthat, r-cran-registr
Filename: pool/dists/focal/main/r-cran-refund.shiny_1.0-1.ca2004.1_all.deb
Size: 196176
MD5sum: a15198ad39a35e9d941ca8135f5c5554
SHA1: 785dacababb0b259d7015b4035a1d9acb41feda4
SHA256: 5c3a9c7a8cdff7d0ffb51152ed4b71e7b041f0373fee584afe1bc2a0ab2d6f7f
SHA512: d99aa87f61b1dfd41c125defac3589129eaab10e88479f4f0a9fc9eac02fdf74b7a8b9570fcf165a03d2ed034add8ee09cd074a8b144eead1ca5b34e46f063ac
Homepage: https://cran.r-project.org/package=refund.shiny
Description: CRAN Package 'refund.shiny' (Interactive Plotting for Functional Data Analyses)
 Produces Shiny applications for different types of popular functional data
 analyses. The functional data analyses are implemented in the refund
 package, then refund.shiny reads in the refund object and implements an
 object-specific set of plots based on the object class using S3.

Package: r-cran-refund
Architecture: all
Version: 0.1-37-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2644
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-matrix, r-cran-lattice, r-cran-boot, r-cran-mgcv, r-cran-mass, r-cran-magic, r-cran-nlme, r-cran-gamm4, r-cran-lme4, r-cran-rlrsim, r-cran-grpreg, r-cran-ggplot2, r-cran-pbs
Suggests: r-cran-rcolorbrewer, r-cran-reshape2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-refund_0.1-37-1.ca2004.1_all.deb
Size: 2620328
MD5sum: 59fc1ebd9b0babd74c5750e170a31f99
SHA1: 5dbb6204d5e07bf8d6a5f8e5b7d7bd7f49e4d7c6
SHA256: 291e32f3b7c73f351b0be1be1276a46d7ba74f55aa6cb1dae024e62cd0f9ae63
SHA512: 9be7ae055d7c69e4637e201c24af686a243348967f23ac123b4f48f3b3b517d2d176e47bf1071051efe9a81ea6cc217e152c4804983725575bf3ff92496f59b9
Homepage: https://cran.r-project.org/package=refund
Description: CRAN Package 'refund' (Regression with Functional Data)
 Methods for regression for functional data, including function-on-scalar,
 scalar-on-function, and function-on-function regression. Some of the
 functions are applicable to image data.

Package: r-cran-regassure
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brant, r-cran-car, r-cran-lmtest, r-cran-proc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regassure_1.0.0-1.ca2004.1_all.deb
Size: 26796
MD5sum: 0027945b3c15728118d2637d342f81d6
SHA1: e1161f8b0ec95671918ea1fd41f271ea28d09849
SHA256: dbe979edd01ca9bc554e5d90b03b0177793ce1fcbecb96e6ddd80eb5aaab0f64
SHA512: d277427a378b6056e2648c697eb45b9a78d50706886f828459cfba8b6a427664af40b15e5927cf855f490d4c228c2835e4d404f27ab796604dfc941f5836da73
Homepage: https://cran.r-project.org/package=RegAssure
Description: CRAN Package 'RegAssure' (Streamlined Integration of Regression Assumption)
 It streamlines the evaluation of regression model assumptions, enhancing
 result reliability. With integrated tools for assessing key aspects like
 linearity, homoscedasticity, and more. It's a valuable asset for researchers
 and analysts working with regression models.

Package: r-cran-regcensus
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-stringr, r-cran-httr, r-cran-tidyverse, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regcensus_1.0.1-1.ca2004.1_all.deb
Size: 92124
MD5sum: e65c3c71b6d39f36e3c9216c97e844e5
SHA1: 7abb086cef54a31487cfe9418142a1cb3d608fa0
SHA256: cb9492764eb19dfcda61d7113e6a43ca6f2d12a1adfa552d6508a4e22cad1258
SHA512: ace0448134093b499271d279380548dbd3410abc962dc25eac5e61f1fe7487a2489fcdf3bc5f31cbc8b9c7fe5fe2e6475aba7e7ed57d57ef7da33f1c70009ca8
Homepage: https://cran.r-project.org/package=regcensus
Description: CRAN Package 'regcensus' (Accessing Data from the 'RegCensusAPI')
 Allowing users to access data from the 'RegCensusAPI'. The 'RegCensusAPI' is
 an API client that connects to the 'RegData' regulatory restrictions data by
 the 'Mercatus Center' at 'George Mason University'. 'RegData' uses machine
 learning algorithms to quantify the number of regulatory restrictions in a
 jurisdiction. You can find out more about 'RegData' from 'QuantGov website'
 <https://www.quantgov.org>.

Package: r-cran-regclass
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2929
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bestglm, r-cran-leaps, r-cran-vgam, r-cran-rpart, r-cran-randomforest, r-cran-rpart.plot
Suggests: r-cran-stringr, r-cran-multcompview
Filename: pool/dists/focal/main/r-cran-regclass_1.7-1.ca2004.1_all.deb
Size: 2905224
MD5sum: 4e3bcb349c336d8fdb3d0c1cd47398c9
SHA1: 787313ca697ba2b6d73b576699228cb09ec27e5e
SHA256: 7543149b062a5a2f1aeb8678e903b27389433100a36351085703c29124f36560
SHA512: eb8db122fd65ffcbdf4e9f5eb5de4ccc56763bf8c67a0e403f21727103a125c84390663a79bce47f4253a124e3734eca2ab4d170c4e4f11e84caf6bb10d3258e
Homepage: https://cran.r-project.org/package=regclass
Description: CRAN Package 'regclass' (Tools for an Introductory Class in Regression and Modeling)
 Contains basic tools for visualizing, interpreting, and building regression
 models.  It has been designed for use with the book Introduction to
 Regression and Modeling with R by Adam Petrie, Cognella Publishers, ISBN:
 978-1-63189-250-9.

Package: r-cran-regcombin
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-kableextra, r-cran-snowfall, r-cran-rationalexp, r-cran-hmisc, r-cran-geometry, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-regcombin_0.4.1-1.ca2004.1_all.deb
Size: 330408
MD5sum: 5b2687cbb17d0b5239fba1e108e806f2
SHA1: e09cf759bd6e4c07c1d72274af450e237375494b
SHA256: 592436ab7fcbbaefba580cc2dffffdebb9fc5099a9eb708aab0842703c67b629
SHA512: a606cd97e3f77de89d0f9c84b9986041fe7a99c18411fb04ef3cc5bbbdee2199692e7e444e1dbc9de882d26f6e65af743210bd475751ca101913e183236f8bb1
Homepage: https://cran.r-project.org/package=RegCombin
Description: CRAN Package 'RegCombin' (Partially Linear Regression under Data Combination)
 We implement linear regression when the outcome of interest and some of the
 covariates are observed in two different datasets that cannot be linked,
 based on D'Haultfoeuille, Gaillac, Maurel (2022) <doi:10.3386/w29953>. The
 package allows for common regressors observed in both datasets, and for
 various shape constraints on the effect of covariates on the outcome of
 interest. It also provides the tools to perform a test of point
 identification. See the associated vignette
 <https://github.com/cgaillac/RegCombin/blob/master/RegCombin_vignette.pdf>
 for theory and code examples.

Package: r-cran-regda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-rfast, r-cran-rfast2
Filename: pool/dists/focal/main/r-cran-regda_1.0-1.ca2004.1_all.deb
Size: 37616
MD5sum: 4e03e24e8fd1c23383cc8173d4ab750e
SHA1: 7cd6ef5eb5e995dc05c7caf032f8c9eb765e083d
SHA256: 61d99aed03d5235b971c9416a3109998570124fe141e1a064941a56738370f29
SHA512: 0d87b7bc694680f82513b2743c2494eaef5140cd6fa1b270f53b7be51d1009d834268391532f7519d63979d6813e19ea743ac04ee4e761101e7e58abbe31b1ca
Homepage: https://cran.r-project.org/package=regda
Description: CRAN Package 'regda' (Regularised Discriminant Analysis)
 Regularised discriminant analysis functions. The classical regularised
 discriminant analysis proposed by Friedman in 1989, including
 cross-validation, of which the linear and quadratic discriminant analyses
 are special cases. Further, the regularised maximum likelihood linear
 discriminant analysis, including cross-validation. References: Friedman J.H.
 (1989): "Regularized Discriminant Analysis". Journal of the American
 Statistical Association 84(405): 165--175. <doi:10.2307/2289860>. Friedman
 J., Hastie T. and Tibshirani R. (2009). "The elements of statistical
 learning", 2nd edition. Springer, Berlin. <doi:10.1007/978-0-387-84858-7>.
 Tsagris M., Preston S. and Wood A.T.A. (2016). "Improved classification for
 compositional data using the alpha-transformation". Journal of
 Classification, 33(2): 243--261. <doi:10.1007/s00357-016-9207-5>.

Package: r-cran-regddm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstan, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rtdists, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regddm_1.0-1.ca2004.1_all.deb
Size: 119704
MD5sum: eb25335e39a100d39e53c83f8fa62486
SHA1: 3ac06dd34d68bc1830ca7c1df1741338c1da5394
SHA256: b9935930cf1ec719f04c7dce85383956c85f0baa1633e7a0f7995a850bc35be1
SHA512: aa0854a2f2f74c51bba0b3f968d8d373741377e3cfd38054809221c0340179fd7fb0bddde1b3c56904f4e73a489d0f80a8bdcbd5b53fabc3a665e92ed6f51dde
Homepage: https://cran.r-project.org/package=RegDDM
Description: CRAN Package 'RegDDM' (Generalized Linear Regression with DDM)
 Drift-Diffusion Model (DDM) has been widely used to model binary
 decision-making tasks, and many research studies the relationship between
 DDM parameters and other characteristics of the subject. This package uses
 'RStan' to perform generalized liner regression analysis over DDM parameters
 via a single Bayesian Hierarchical model. Compared to estimating DDM
 parameters followed by a separate regression model, 'RegDDM' reduces bias
 and improves statistical power.

Package: r-cran-regdif
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 417
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-statmod, r-cran-foreach
Suggests: r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-regdif_1.1.1-1.ca2004.1_all.deb
Size: 351480
MD5sum: 3ac01d29fc94f22d455f065db1201cd5
SHA1: 6579e2aa4da7a772ba137978f0c869ccfada3d60
SHA256: 3ef06670bf787b7f96fb695e0af16b2ec73db007e23d447e2531bc16c6b3a1ac
SHA512: 97605c026f8992cce409894fb55921ce9339d4a3276d93c9fbb0d119bc8dcc957c3c33842fd3c912f3fc64f05e7141d4cc936a5d4c1c7510865e420fe7b0d4cd
Homepage: https://cran.r-project.org/package=regDIF
Description: CRAN Package 'regDIF' (Regularized Differential Item Functioning)
 Performs regularization of differential item functioning (DIF) parameters in
 item response theory (IRT) models (Belzak & Bauer, 2020)
 <https://pubmed.ncbi.nlm.nih.gov/31916799/> using a penalized
 expectation-maximization algorithm.

Package: r-cran-regent
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-regent_1.0.6-1.ca2004.1_all.deb
Size: 277412
MD5sum: df792116ab46ee807c611f50cb6f4022
SHA1: 741fcc7c02691945b667069d6eb0e8c92ceffdb6
SHA256: 668c97ef396d850b1d9f2d974103069f1d9c2bc92c68c920de7957264532293f
SHA512: 8a49d6a31e26bd87bb4d333c8a252bbd00d217be303da2ebb08aafe3c92442bd4fca22014e13badff07141a74dcc0f5827fe24ed1af076101faa0acd5d1210f3
Homepage: https://cran.r-project.org/package=REGENT
Description: CRAN Package 'REGENT' (Risk Estimation for Genetic and Environmental Traits)
 Produces population distribution of disease risk and statistical risk
 categories, and predicts risks for individuals with genotype information.

Package: r-cran-regexpipes
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr, r-cran-piper
Filename: pool/dists/focal/main/r-cran-regexpipes_0.0.1-1.ca2004.1_all.deb
Size: 19912
MD5sum: 1726fe8772e23f51c21992c8151868fc
SHA1: f0912c92d8ef943ae6f311187088ae49315b55cc
SHA256: 4d48c4e7c6e551c2fe6a3eee265524c5ee646055df9ee378cced715dd5e53106
SHA512: a16714c4ad1805456fd654bb8662da4c7776a7c1fa5662942bb2d1e41afd866579a19014c430b74d3ec694efdad509b6f2627e8fa1d9f4e2b817a0533d02a57e
Homepage: https://cran.r-project.org/package=regexPipes
Description: CRAN Package 'regexPipes' (Wrappers Around 'base::grep()' for Use with Pipes)
 Provides wrappers around base::grep() where the first argument is
 standardized to take the data object. This makes it less of a pain to use
 regular expressions with 'magrittr' or other pipe operators.

Package: r-cran-regexselect
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-regexselect_1.0.0-1.ca2004.1_all.deb
Size: 18048
MD5sum: 999ed07e534da2b80bd86cc9bd1f089c
SHA1: c8c895c8b4524d2b123cabace89d874a6d327967
SHA256: 3becf10f2de3193d6a32fd1a032df22fab7fbd34aad56c05d855b91d5250290d
SHA512: ab8de23c53616b2f66075361a4d3110fff601d059bcb5b790c97f615d779d39744539a2bf26a84a613c59863b3ca07bde7ab8ad84494c29fa66a5bd779bcf0bb
Homepage: https://cran.r-project.org/package=regexSelect
Description: CRAN Package 'regexSelect' (Regular Expressions in 'shiny' Select Lists)
 'shiny' extension that adds regular expression filtering capabilities to the
 choice vector of the select list.

Package: r-cran-regfilter
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-e1071, r-cran-fnn, r-cran-gbm, r-cran-modelr, r-cran-nnet, r-cran-randomforest, r-cran-rpart, r-cran-ubl, r-cran-arules, r-cran-infotheo, r-cran-entropy, r-cran-ggplot2, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-regfilter_1.1.1-1.ca2004.1_all.deb
Size: 279932
MD5sum: 49788ac985bc4d9256c4a95f141753d4
SHA1: 76b7bf0e4960d71ae34db974adb5036063f7fe19
SHA256: 616892d087777e71a90de16cf90d2a6518ced198f2b3cebf6fc85cb79c9a48c2
SHA512: 3f37e59c459b0410821ef186d532df038e9fd9becb679eb2151dba627d2e0edff057c98ae976d846b0ac0fef4398a9c246c206c7519d8f81c7a8385c1667c2e1
Homepage: https://cran.r-project.org/package=regfilter
Description: CRAN Package 'regfilter' (Elimination of Noisy Samples in Regression Datasets using NoiseFilters)
 Traditional noise filtering methods aim at removing noisy samples from a
 classification dataset. This package adapts classic and recent filtering
 techniques for use in regression problems, and it also incorporates methods
 specifically designed for regression data. In order to do this, it uses
 approaches proposed in the specialized literature, such as Martin et al.
 (2021) [<doi:10.1109/ACCESS.2021.3123151>] and Arnaiz-Gonzalez et al. (2016)
 [<doi:10.1016/j.eswa.2015.12.046>]. Thus, the goal of the implemented noise
 filters is to eliminate samples with noise in regression datasets.

Package: r-cran-reghelper
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-nlme, r-cran-lme4, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reghelper_1.1.2-1.ca2004.1_all.deb
Size: 164932
MD5sum: 5fb29eb82e05c319e22d761249d7bcdc
SHA1: 4a27a4790ebcf9bfed741b05e72c8a436767d480
SHA256: cc27f81e2e2350f75e958410295786ab46a2cacd047fa3d6f869873bbd5b2dc6
SHA512: 86a22d01d2faa6271d8dd8716fba3686c6c28db346f8c1c3834889afca9923122935ea096711d393f5d417bbe698136e5d75650993d488569b6d29357a183a01
Homepage: https://cran.r-project.org/package=reghelper
Description: CRAN Package 'reghelper' (Helper Functions for Regression Analysis)
 A set of functions used to automate commonly used methods in regression
 analysis. This includes plotting interactions, and calculating simple
 slopes, standardized coefficients, regions of significance (Johnson &
 Neyman, 1936; cf. Spiller et al., 2012), etc. See the reghelper
 documentation for more information, documentation, and examples.

Package: r-cran-regional
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-philentropy, r-cran-terra
Suggests: r-cran-supercells, r-cran-sf, r-cran-testthat, r-cran-covr, r-cran-proxy, r-cran-dtwclust
Filename: pool/dists/focal/main/r-cran-regional_0.4.4-1.ca2004.1_all.deb
Size: 275692
MD5sum: 67238bf6e9913470ced54feabff6bdd3
SHA1: 428ee908482e45f9b66e7ef5df3b02a6b7ea4125
SHA256: e61aab26f5cbfe60b35bec90f85e68299cf5c32659fc7fac9685190a1e46c0db
SHA512: b6d19c4f9916481826e98689fdbf7bcd869b0eb78bbe96ee153f1ecf4bcbb2daba4966f3223c921f221aa0dff311b5b2a90e071bf0ef2998f3ec7d89a4eaf961
Homepage: https://cran.r-project.org/package=regional
Description: CRAN Package 'regional' (Intra- and Inter-Regional Similarity)
 Calculates intra-regional and inter-regional similarities based on
 user-provided spatial vector objects (regions) and spatial raster objects
 (cells with values).  Implemented metrics include inhomogeneity, isolation
 (Haralick and Shapiro (1985) <doi:10.1016/S0734-189X(85)90153-7>, Jasiewicz
 et al. (2018) <doi:10.1016/j.cageo.2018.06.003>), and distinction (Nowosad
 (2021) <doi:10.1080/13658816.2021.1893324>).

Package: r-cran-regionalconsistency
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regionalconsistency_1.0.0-1.ca2004.1_all.deb
Size: 13288
MD5sum: 89be7f441511a11b07ef7c84adc41c94
SHA1: f8b06a82b039b46739aab11860fe432d51f9c5f0
SHA256: b18acdef5e7106c610122755d82582fac8ec2a9a2e23f978d95ddae4b19fb5dd
SHA512: ca6d17aa71d143d28032824681774bd5089c40d3b3e0ead9bccf5fb744dd29a92334c2d24835572d214ae06164e872d9ea08d77b8fee54ce2ae7610b4d00651b
Homepage: https://cran.r-project.org/package=RegionalConsistency
Description: CRAN Package 'RegionalConsistency' (Calculate Regional Consistency Probabilities for Multi-RegionalClinical Trials)
 Provides methods to calculate approximate regional consistency probabilities
 using Method 1 and Method 2 proposed by the Japanese Ministry of Health,
 Labor and Welfare (2007) <https://www.pmda.go.jp/files/000153265.pdf>. These
 methods are useful for assessing regional consistency in multi-regional
 clinical trials.  The package can calculate unconditional, joint, and
 conditional regional consistency probabilities.  For technical details,
 please see Homma (2024) <doi:10.1002/pst.2358>.

Package: r-cran-regioncode
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-pinyin
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-regioncode_0.1.2-1.ca2004.1_all.deb
Size: 990512
MD5sum: db4e771e47fd675e386ff01c0712d031
SHA1: 0741e1e8ddc8788c596cc5d56f7815e966936af7
SHA256: 5fedfecb7a76f2efe5e3835aa4f66ebb26ac02cb11432ecce387b40c3e4ea384
SHA512: a5d54b78706954bf330e6856ee2ef1e8713a6cfff842efce2d008a3faf54451ea512c6f253c7cc925b077d040749717101b9bc8054fa066e7acb1717c26c23cc
Homepage: https://cran.r-project.org/package=regioncode
Description: CRAN Package 'regioncode' (Convert Region Names and Division Codes of China Over Years)
 A tool to conquer the difficulties to convert various region names and
 administration division codes of Chinese regions. The current version
 enables seamlessly converting Chinese regions' formal names, common-used
 names, and codes between each other at the city level from 1986 to 2019.

Package: r-cran-regions
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2971
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-countrycode, r-cran-tidyselect, r-cran-purrr, r-cran-rlang, r-cran-glue, r-cran-tidyr, r-cran-readxl, r-cran-stringr, r-cran-assertthat, r-cran-tibble, r-cran-here
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr, r-cran-spelling, r-cran-devtools, r-cran-eurostat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-regions_0.1.8-1.ca2004.1_all.deb
Size: 2486320
MD5sum: ff985d27b539a2fae672b0bb8fb34298
SHA1: 9451310b7e541c280b5e20d65274031452d1d81b
SHA256: 7d499bbe3af3633ceed7851b56775a7e84c809174dc39863b61c9b40a5b9069e
SHA512: dcfc97e356107ecec4c07ff02af3c2745885add79d4bf5acbaea27b298b3e00d44a6333c5009deda91c6384a14a955c00774a82ba8f2479f9466b93792ebaa29
Homepage: https://cran.r-project.org/package=regions
Description: CRAN Package 'regions' (Processing Regional Statistics)
 Validating sub-national statistical typologies, re-coding across standard
 typologies of sub-national statistics, and making valid aggregate level
 imputation, re-aggregation, re-weighting and projection down to lower
 hierarchical levels to create meaningful data panels and time series.

Package: r-cran-registry
Architecture: all
Version: 0.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-registry_0.5-1-1.ca2004.1_all.deb
Size: 194488
MD5sum: fcb3f7b24bfd67bdad8d4d5c200f3fe3
SHA1: af18465352d3288c49af385abfe164f9b7991fc6
SHA256: 17ac0704bb9784502ba2261f9385e5688ee34d57a8479604e6379c1ab20628bc
SHA512: 8499a72152e46e5a514946f44bae7fe84277c8ff36f6c7c11398ba7c58bbff2074f70974e4164e46111c0a6543eb709230ba20b6fa47c5b76bbf5c23ad472af2
Homepage: https://cran.r-project.org/package=registry
Description: CRAN Package 'registry' (Infrastructure for R Package Registries)
 Provides a generic infrastructure for creating and using registries.

Package: r-cran-regkink
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-regkink_0.1.0-1.ca2004.1_all.deb
Size: 18416
MD5sum: 284d4cf37466293638747a2f206dd5d1
SHA1: 0a55bc440ef5a911162887f8ebd4937d365b55a5
SHA256: fb149c201fad42d81098871ae1399b1d659d82a0bb0d172fda35d6ddfe900383
SHA512: 556d41b394f9302928eddc45bba8748d14940d641b3c8ae44723d97d768c01b3be69345444ca3e13fbe2c3ee5916358bcccba0913eb06876afde6acf44dd2148
Homepage: https://cran.r-project.org/package=RegKink
Description: CRAN Package 'RegKink' (Regression Kink with a Time-Varying Threshold)
 An algorithm is proposed to estimate regression kink model proposed by the
 paper, Lixiong Yang and Jen-Je Su (2018)
 <doi:10.1016/j.jimonfin.2018.06.002>.

Package: r-cran-regmedint
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 573
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-deriv, r-cran-mass, r-cran-matrix, r-cran-assertthat, r-cran-sandwich, r-cran-survival
Suggests: r-cran-boot, r-cran-furrr, r-cran-future, r-cran-geepack, r-cran-knitr, r-cran-mice, r-cran-mitools, r-cran-modelr, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyverse, r-cran-magic, r-cran-formattable, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-regmedint_1.0.1-1.ca2004.1_all.deb
Size: 208792
MD5sum: 9abf8b2df566a5b964bf79e43042850b
SHA1: 36359c54f95ce1eca35a143b6215a071ad1c47ff
SHA256: f46a62f80dcbdfe736b7e730cc0b3397331939331fdfb553b4207baf3ae1cdf9
SHA512: b80d3de057b659acb1af6363dc94fec79138fa601d0f47519930b114eb1a531e2a4b765f824c2b16f34484599ac4d2a77db27afac3bc4c2d561d9d6191d605c4
Homepage: https://cran.r-project.org/package=regmedint
Description: CRAN Package 'regmedint' (Regression-Based Causal Mediation Analysis with Interaction andEffect Modification Terms)
 This is an extension of the regression-based causal mediation analysis first
 proposed by Valeri and VanderWeele (2013) <doi:10.1037/a0031034> and Valeri
 and VanderWeele (2015) <doi:10.1097/EDE.0000000000000253>). It supports
 including effect measure modification by covariates(treatment-covariate and
 mediator-covariate product terms in mediator and outcome regression models)
 as proposed by Li et al (2023) <doi:10.1097/EDE.0000000000001643>. It also
 accommodates the original 'SAS' macro and 'PROC CAUSALMED' procedure in
 'SAS' when there is no effect measure modification. Linear and logistic
 models are supported for the mediator model. Linear, logistic, loglinear,
 Poisson, negative binomial, Cox, and accelerated failure time (exponential
 and Weibull) models are supported for the outcome model.

Package: r-cran-regmmd
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-regmmd_0.0.1-1.ca2004.1_all.deb
Size: 290488
MD5sum: e66f42652070fe55c1d48d424a4a41c1
SHA1: d640882ce662fe911d59a6f0ac99dd7e99ddcf42
SHA256: ad447f38f62af4f21d2c2d482884306ed239a1ff1cf2ddd44d644e4ce3c8ccf3
SHA512: 2e96645d7d0434ee18f66ee3a90f642dc609703249991ce397976be6165629757d0a6dc88c773920495e5f143c323541b61ff858a4bad5498a4a6834e0e06ae4
Homepage: https://cran.r-project.org/package=regMMD
Description: CRAN Package 'regMMD' (Robust Regression and Estimation Through Maximum MeanDiscrepancy Minimization)
 The functions in this package compute robust estimators by minimizing a
 kernel-based distance known as MMD (Maximum Mean Discrepancy) between the
 sample and a statistical model. Recent works proved that these estimators
 enjoy a universal consistency property, and are extremely robust to
 outliers. Various optimization algorithms are implemented: stochastic
 gradient is available for most models, but the package also allows gradient
 descent in a few models for which an exact formula is available for the
 gradient. In terms of distribution fit, a large number of continuous and
 discrete distributions are available: Gaussian, exponential, uniform, gamma,
 Poisson, geometric, etc. In terms of regression, the models available are:
 linear, logistic, gamma, beta and Poisson.  Alquier, P. and Gerber, M.
 (2024) <doi:10.1093/biomet/asad031> Cherief-Abdellatif, B.-E. and Alquier,
 P. (2022) <doi:10.3150/21-BEJ1338>.

Package: r-cran-regplot
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vioplot, r-cran-sm, r-cran-beanplot, r-cran-survival, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-regplot_1.1-1.ca2004.1_all.deb
Size: 271880
MD5sum: 8092efc3f0db10f85ee8677f269049fe
SHA1: 64d8ca2ffc50102bf7d3e6b73e3c4a30a0ba7aa2
SHA256: 94655db9e759ec8bfa0808944316f17604fde4aeaa25c88603bf106387635a2c
SHA512: 9a7226555a632fd644b04c2b857752aed9883a9352b2628d71330a40312d143bbb0613899ffe2f846e08fbe612c847b7b7e2c99c1716e08d02d480e164ad4812
Homepage: https://cran.r-project.org/package=regplot
Description: CRAN Package 'regplot' (Enhanced Regression Nomogram Plot)
 A function to plot a regression nomogram of regression objects. Covariate
 distributions are superimposed on nomogram scales and the plot can be
 animated to allow on-the-fly changes to distribution representation and to
 enable outcome calculation.

Package: r-cran-regport
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-broom.helpers, r-cran-data.table, r-cran-dplyr, r-cran-forestploter, r-cran-glue, r-cran-parameters, r-cran-r6, r-cran-rlang, r-cran-survival
Suggests: r-cran-roxygen2, r-cran-see, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regport_0.3.0-1.ca2004.1_all.deb
Size: 282164
MD5sum: 9356cf1f51a65d80abd882d699bec90a
SHA1: cdb160e8da03378bf4505b129b62c846ed544e9e
SHA256: 522e10f9a61a46383e02cfcfa4968f78ded442f5037c2ff727066e6848ba4f9f
SHA512: 40b6d143f867fd6994e744023ea6c269034f5e6427e0c11d8517754e967baf526ee0fadc602ce1d89220940596f2b2db70cdd12f211d407b99397a9f19302a69
Homepage: https://cran.r-project.org/package=regport
Description: CRAN Package 'regport' (Regression Model Processing Port)
 Provides R6 classes, methods and utilities to construct, analyze, summarize,
 and visualize regression models.

Package: r-cran-regr.easy
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-regr.easy_1.0.2-1.ca2004.1_all.deb
Size: 29784
MD5sum: dcd5f4dc4029d8a6aee70d25dff03c27
SHA1: c5a78f72c32a701140d7b196125f59036d5ec46d
SHA256: eb965f7de04705ddc5d3608ac56bc593e966956f69759a9f2975645a2e0a2d18
SHA512: 97c6d65d744fac01d796db32288b8a76c33f0bcbf0e3810348754cf964dedecb237708f6dcd4c902f5a49a06070b39392d7e539dc919aa9c7d196f5f4450a632
Homepage: https://cran.r-project.org/package=regr.easy
Description: CRAN Package 'regr.easy' (Easy Linear, Quadratic and Cubic Regression Models)
 Focused on linear, quadratic and cubic regression models, it has a function
 for calculating the models, obtaining a list with their parameters, and a
 function for making the graphs for the respective models.

Package: r-cran-regrap
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-regrap_1.0.1-1.ca2004.1_all.deb
Size: 43240
MD5sum: 230066bd7878c23577946d146d5d8db8
SHA1: acefef3fe7dee0f782bb6f485d37a4aa8dc693c1
SHA256: 81f653393bdc96c9e3d77b56d363af1ddfd6bcf12e78049bba88cfbddef44b94
SHA512: 9ea8f3ff67ac980456f66ce4e1cf07643c42a0914990a0f8127a74dc9efbfc77cb740c3733b8fbbebb7ac6951585358186a0c97600181f7272db2e31a0387152
Homepage: https://cran.r-project.org/package=regrap
Description: CRAN Package 'regrap' (Reverse Graphical Approaches)
 The graphical approach is proposed as a general framework for clinical trial
 designs involving multiple hypotheses, where decisions are made only based
 on the observed marginal p-values. A reverse graphical approach starts from
 a set of singleton graphs, and gradually add vertices into graphs until
 rejection of a set of hypotheses is made. See Gou, J. (2020). Reverse
 graphical approaches for multiple test procedures. Technical Report.

Package: r-cran-regrcoeffsexplorer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggpubr, r-cran-gridextra, r-cran-glmnet, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-faraway, r-cran-knitr, r-cran-mass, r-cran-psych, r-cran-rmarkdown, r-cran-selectiveinference, r-cran-survival
Filename: pool/dists/focal/main/r-cran-regrcoeffsexplorer_1.2.0-1.ca2004.1_all.deb
Size: 370328
MD5sum: 19ffc998a6bb8816c62069947048b722
SHA1: 2d652b847d8804025f8264b7b22402c6f9cb3db6
SHA256: 3aad8af857866b57dcb6325db9f13714acf1076ffcf1a45b6ae8e68cc2142600
SHA512: 31da4118bedd88c60dd535de5d4a553d19325b73cc841e3f49b7dc461bcd4c57b42481f1d1d0e341222cf19cad561715ce7e6ddab1a2288c7fbf0f5c69def619
Homepage: https://cran.r-project.org/package=RegrCoeffsExplorer
Description: CRAN Package 'RegrCoeffsExplorer' (Efficient Visualization of Regression Coefficients for Lm(),Glm(), and Glmnet() Objects)
 The visualization tool offers a nuanced understanding of regression
 dynamics, going beyond traditional per-unit interpretation of continuous
 variables versus categorical ones. It highlights the impact of unit changes
 as well as larger shifts like interquartile changes, acknowledging the
 distribution of empirical data. Furthermore, it generates visualizations
 depicting alterations in Odds Ratios for predictors across minimum, first
 quartile, median, third quartile, and maximum values, aiding in
 comprehending predictor-outcome interplay within empirical data
 distributions, particularly in logistic regression frameworks.

Package: r-cran-regreplacer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-regreplacer_0.1.0-1.ca2004.1_all.deb
Size: 60464
MD5sum: c1535b7337092310f8a6fb624faf3317
SHA1: 8dd96f4f534f95f30f1c16529f7e251df565e3e4
SHA256: 2bf28e01ffda9185e9d3648fc0d2e26879fbf747b75740881bc1d4955554fc59
SHA512: 1ad7ad49b58a5c14d8f48da4688f93b32b30583dea26199a684b6ba00317a4dab5f7d10f4fe822cacb51693ac1e685d7f486ec183cfe557ab91bfae3251946ad
Homepage: https://cran.r-project.org/package=regreplaceR
Description: CRAN Package 'regreplaceR' (Match and Replace Strings Based on Named Groups in RegularExpressions)
 An R6 class "Replacer" provided by the package simplifies working with regex
 patterns containing named groups. It allows easy retrieval of matched
 portions and targeted replacements by group name, improving both code
 clarity and maintainability.

Package: r-cran-regress
Architecture: all
Version: 1.3-22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-nlme, r-cran-mass
Filename: pool/dists/focal/main/r-cran-regress_1.3-22-1.ca2004.1_all.deb
Size: 67700
MD5sum: f5aabaff19052f5e0319af8048e1d04d
SHA1: 05499f13e402d98e6461bbc350eb392726d2f527
SHA256: ea259f555bcb71e95f8a389d07c357bb1ffad30a1865fe11072a6c518919b18f
SHA512: 0806eb1f7860c1f0c1659f336d459377c203f87a5403237f8555fb21e5ffff19359358b5df740ab37ddf28d19d5927eb40fcbd7a9cabf64724c175f4e923aa81
Homepage: https://cran.r-project.org/package=regress
Description: CRAN Package 'regress' (Gaussian Linear Models with Linear Covariance Structure)
 Functions to fit Gaussian linear model by maximising the residual log
 likelihood where the covariance structure can be written as a linear
 combination of known matrices.  Can be used for multivariate models and
 random effects models.  Easy straight forward manner to specify random
 effects models, including random interactions. Code now optimised to use
 Sherman Morrison Woodbury identities for matrix inversion in random effects
 models. We've added the ability to fit models using any kernel as well as a
 function to return the mean and covariance of random effects conditional on
 the data (best linear unbiased predictors, BLUPs).  Clifford and McCullagh
 (2006) <https://www.r-project.org/doc/Rnews/Rnews_2006-2.pdf>.

Package: r-cran-regressinator
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2902
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-dharma, r-cran-dplyr, r-cran-ggplot2, r-cran-insight, r-cran-nullabor, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-mvtnorm, r-cran-palmerpenguins, r-cran-patchwork, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regressinator_0.2.0-1.ca2004.1_all.deb
Size: 2021104
MD5sum: 2cf8de5c7943544cc686885555a044bb
SHA1: f39eae43d4aeaa2c3d34f0e33cbd94a0e13e3962
SHA256: 4df9743f4869f3ed5c449655b99bce8d08287e5daa89f2bc08facaebf0b9d001
SHA512: f84083e70bf55eeaa004095dbe5568d61c48b9b862ce3f9c2ddd9c88ce893a5eecc388aff71862b3047746c89a69a56dc3b29bcb2873d1c7061f0c48c8d8d93a
Homepage: https://cran.r-project.org/package=regressinator
Description: CRAN Package 'regressinator' (Simulate and Diagnose (Generalized) Linear Models)
 Simulate samples from populations with known covariate distributions,
 generate response variables according to common linear and generalized
 linear model families, draw from sampling distributions of regression
 estimates, and perform visual inference on diagnostics from model fits.

Package: r-cran-regressionfactory
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-sns, r-cran-mfusampler
Filename: pool/dists/focal/main/r-cran-regressionfactory_0.7.4-1.ca2004.1_all.deb
Size: 457792
MD5sum: 736ae6ca0cb68dac80aa287e1c0d8105
SHA1: 2fbf92a4d51e10c23d9ef4e34d5be04e329e4e10
SHA256: eee95994d939dd03338b7a982d4a1cb6f27435dbeccda1656370864ef021bd80
SHA512: 8e0547839fea1d0610bcfc12ee6fc913fe8bc4e94366e3d2f61cd5c03e8e4e4a7749e5991665e3cb4fc4767d31223664424d94181b3a0eff9cd9b99686073f1c
Homepage: https://cran.r-project.org/package=RegressionFactory
Description: CRAN Package 'RegressionFactory' (Expander Functions for Generating Full Gradient and Hessian fromSingle-Slot and Multi-Slot Base Distributions)
 The expander functions rely on the mathematics developed for the
 Hessian-definiteness invariance theorem for linear projection
 transformations of variables, described in authors' paper, to generate the
 full, high-dimensional gradient and Hessian from the lower-dimensional
 derivative objects. This greatly relieves the computational burden of
 generating the regression-function derivatives, which in turn can be fed
 into any optimization routine that utilizes such derivatives. The theorem
 guarantees that Hessian definiteness is preserved, meaning that reasoning
 about this property can be performed in the low-dimensional space of the
 base distribution. This is often a much easier task than its equivalent in
 the full, high-dimensional space. Definiteness of Hessian can be useful in
 selecting optimization/sampling algorithms such as Newton-Raphson
 optimization or its sampling equivalent, the Stochastic Newton Sampler.
 Finally, in addition to being a computational tool, the regression expansion
 framework is of conceptual value by offering new opportunities to generate
 novel regression problems.

Package: r-cran-regressor
Architecture: all
Version: 4.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dt, r-cran-gbm, r-cran-pls, r-cran-dplyr, r-cran-psych, r-cran-shiny, r-cran-golem, r-cran-rlang, r-cran-glmnet, r-cran-loader, r-cran-shinyjs, r-cran-trainer, r-cran-shinyace, r-cran-echarts4r, r-cran-htmltools, r-cran-rpart.plot, r-cran-shinydashboard, r-cran-shinycustomloader, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-regressor_4.0.4-1.ca2004.1_all.deb
Size: 752512
MD5sum: 40009bba45d17ae9f7a296913f1b2afe
SHA1: 306a50c10a8a2d6de6b50efad120a08d87b09757
SHA256: 59f8f21773ab38d261d0be628d95e60a512b285d0f3cebf0b0332167d354b1b2
SHA512: fe416505dd7663e47f1e9a80aa67c117d6ebfe0d5ff7177b2aa31a23ce20c30ffaaa44b9163739f7f44467487e4453bc8f9c95756077bb6961933aa67c6121c9
Homepage: https://cran.r-project.org/package=regressoR
Description: CRAN Package 'regressoR' (Regression Data Analysis System)
 Perform a supervised data analysis on a database through a 'shiny' graphical
 interface. It includes methods such as linear regression, penalized
 regression, k-nearest neighbors, decision trees, ada boosting, extreme
 gradient boosting, random forest, neural networks, deep learning and support
 vector machines.

Package: r-cran-regrrr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-usdm, r-cran-scales, r-cran-robustbase, r-cran-stringr, r-cran-mumin, r-cran-ggplot2, r-cran-lspline
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regrrr_0.1.3-1.ca2004.1_all.deb
Size: 91768
MD5sum: 57a92d98e02ab431dd81125576719708
SHA1: 2b36b52f6f20fac24cd73804b2652720a1a4d583
SHA256: e68a2b9203ffc22dd828f53035c80f482f4661b3137957caa7d79725ce1d2a13
SHA512: 5fdcbbb7e1fd3450ac813922fc6e4c6b7c4d573ab0744a2963feac71780a412ed1c65fddc1e458d43ec41d5bbd0bfa3184e4968417a58ed691fccf6219922ba1
Homepage: https://cran.r-project.org/package=regrrr
Description: CRAN Package 'regrrr' (Toolkit for Compiling, (Post-Hoc) Testing, and PlottingRegression Results)
 Compiling regression results into a publishable format, conducting post-hoc
 hypothesis testing, and plotting moderating effects (the effect of X on Y
 becomes stronger/weaker as Z increases).

Package: r-cran-regrsm
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmpi, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-regrsm_0.5-1.ca2004.1_all.deb
Size: 73272
MD5sum: b8297915f46ae3c2b7c1dc8c52cfc4c3
SHA1: c4a174ef1b5a39b2e6a01566b061628a4e97046a
SHA256: 8d3854a747e4031e2c0c6bfb02a7bbec80d2b280feb6b82183bab421e15191e0
SHA512: eff4cf1257194939871e5d888980a6ba8282fd54e479809d6fa055bd6c945d6f9625a45a75205505a78c2f535b72bb1a207774bfa4fd04669c2f3e3741aee484
Homepage: https://cran.r-project.org/package=regRSM
Description: CRAN Package 'regRSM' (Random Subspace Method (RSM) for Linear Regression)
 Performs Random Subspace Method (RSM) for high-dimensional linear regression
 to obtain variable importance measures. The final model is chosen based on
 validation set or Generalized Information Criterion.

Package: r-cran-regsdc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ssbtools, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-regsdc_1.0.0-1.ca2004.1_all.deb
Size: 110072
MD5sum: 003cd9c894f5a6f65e8a733c338a0aaa
SHA1: 98efd4ae0c11536bfd7134f5c72b06e8c8cfc082
SHA256: 4b26bdb1c45e1cd4a2fe8ffb182cece7978778ef6f7732d71df78d709325a8a0
SHA512: ea4df75aeb7464611f5ca4ae51148df605c99c7476ae2d2aa8b542c2a9fae2978dd72b4ecf44d9dc43175f67094a15f60f22ffefdb39696dccf2dcd0ac76b620
Homepage: https://cran.r-project.org/package=RegSDC
Description: CRAN Package 'RegSDC' (Information Preserving Regression-Based Tools for StatisticalDisclosure Control)
 Implementation of the methods described in the paper with the above title:
 Langsrud, Ø. (2019) <doi:10.1007/s11222-018-9848-9>. The package can be used
 to generate synthetic or hybrid continuous microdata, and the relationship
 to the original data can be controlled in several ways. A function for
 replacing suppressed tabular cell frequencies with decimal numbers is
 included.

Package: r-cran-regspec
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-regspec_2.7-1.ca2004.1_all.deb
Size: 77448
MD5sum: 60533a47c27edd112d75c7a47d25cce1
SHA1: 8bfed8ad1f71faf0df141f9f3c2eae3347d6e69b
SHA256: 3f64f43f71e5d63b5d2cee203f7c812bcef687aa1fac48a0134d83a2cb79e764
SHA512: c92c05ebb03f55ff6fd1a9bee11cf556da1a9ca5e9ca3bac5691a770154ebf54c951c6e633b3939608eeca9037544a58eab7b849ec6d4c14850de39fcc3a8958
Homepage: https://cran.r-project.org/package=regspec
Description: CRAN Package 'regspec' (Non-Parametric Bayesian Spectrum Estimation for Multirate Data)
 Computes linear Bayesian spectral estimates from multirate data for
 second-order stationary time series. Provides credible intervals and methods
 for plotting various spectral estimates. Please see the paper `Should we
 sample a time series more frequently?' (doi below) for a full description of
 and motivation for the methodology.

Package: r-cran-regsubseq
Architecture: all
Version: 0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1741
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-regsubseq_0.12-1.ca2004.1_all.deb
Size: 1736980
MD5sum: c365a2b56fca49b5d515f4f7818aba01
SHA1: 38eebc816c5b5fd98a84dbe01c741faf0f0660de
SHA256: 5b231cc08ee4f266e3e3fc1a1dbcf56b3d8527366e7b65ab6cadc465b24f3e40
SHA512: 292562851dcb8cfc5c255809af038e27b40bd9755070c865c0bee71a42c7b76bacac9900cc0782dfd44436012a427c72b5f6ef8819ba980f1074d5ade1d9afd3
Homepage: https://cran.r-project.org/package=regsubseq
Description: CRAN Package 'regsubseq' (Detect and Test Regular Sequences and Subsequences)
 For a sequence of event occurence times, we are interested in finding
 subsequences in it that are too "regular". We define regular as being
 significantly different from a homogeneous Poisson process. The departure
 from the Poisson process is measured using a L1 distance. See Di and Perlman
 2007 for more details.

Package: r-cran-regtomean
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formattable, r-cran-effsize, r-cran-mefa, r-cran-plotrix, r-cran-sjplot, r-cran-sjmisc, r-cran-ggplot2, r-cran-htmlwidgets
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-regtomean_1.2-1.ca2004.1_all.deb
Size: 59356
MD5sum: 62572b4cf70fcaed1fc42d892f348355
SHA1: c76adf9bc9f060c0bc8acf5097d2a49905e5a5d9
SHA256: 6798940367ac75edead7c90a43a5108bba53cb81adce2cab9c9fdad464f675c8
SHA512: b5b66216c66b27c2ecb15235536aa52ee7d46ff9414f4d9463d757238091fa5cfd4ed235aa57f7b372b9ad369a2939d02223f52fb74287763161d14d7e00d862
Homepage: https://cran.r-project.org/package=regtomean
Description: CRAN Package 'regtomean' (Regression Toward the Mean)
 In repeated measures studies with extreme large or small values it is common
 that the subjects measurements on average are closer to the mean of the
 basic population.  Interpreting possible changes in the mean in such
 situations can lead to biased results since the values were not randomly
 selected, they come from truncated sampling.  This method allows to estimate
 the range of means where treatment effects are likely to occur when
 regression toward the mean is present.  Ostermann, T., Willich, Stefan N. &
 Luedtke, Rainer. (2008). Regression toward the mean - a detection method for
 unknown population mean based on Mee and Chua's algorithm. BMC Medical
 Research Methodology.<doi:10.1186/1471-2288-8-52>.  Acknowledgments: We
 would like to acknowledge "Lena Roth" and "Nico Steckhan" for the package's
 initial updates (Q3 2024) and continued supervision and guidance. Both have
 contributed to discussing and integrating these methods into the package,
 ensuring they are up-to-date and contextually relevant.

Package: r-cran-regtools
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2821
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-gtools, r-cran-r.utils, r-cran-mvtnorm, r-cran-sandwich, r-cran-mass, r-cran-car, r-cran-data.table, r-cran-glmnet, r-cran-rje, r-cran-text2vec, r-cran-polyreg
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-openimager, r-cran-cdparcoord, r-cran-keras, r-cran-magick, r-cran-partools
Filename: pool/dists/focal/main/r-cran-regtools_1.7.0-1.ca2004.1_all.deb
Size: 2600256
MD5sum: e0cc7e763d1df2539b74d5a36297ac5d
SHA1: 0bdd760cce9eaa89e46ff8203065ca4b0d2334a7
SHA256: a6b55a52838b206e2ca7297d43c5bc7345872270740c8784160e3c75665e18a0
SHA512: 9de7cccbab7d0ee5f556bc6f6013093477297ef9b3eb76e0111f03b61b9fcdf6e536f731463530466cd66f31644c9acc7b56ddc5e8a0008a54064266990c3116
Homepage: https://cran.r-project.org/package=regtools
Description: CRAN Package 'regtools' (Regression and Classification Tools)
 Tools for linear, nonlinear and nonparametric regression and classification.
 Novel graphical methods for assessment of parametric models using
 nonparametric methods. One vs. All and All vs. All multiclass
 classification, optional class probabilities adjustment.  Nonparametric
 regression (k-NN) for general dimension, local-linear option.  Nonlinear
 regression with Eickert-White method for dealing with heteroscedasticity.
 Utilities for converting time series to rectangular form.  Utilities for
 conversion between factors and indicator variables.  Some code related to
 "Statistical Regression and Classification: from Linear Models to Machine
 Learning", N. Matloff, 2017, CRC, ISBN 9781498710916.

Package: r-cran-regularizedsca
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-psych, r-cran-rgcca, r-cran-ggplot2, r-cran-mice, r-cran-colorspace, r-cran-lattice
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-regularizedsca_0.5.4-1.ca2004.1_all.deb
Size: 158912
MD5sum: 680f5cc815a31bf24b215ce9cbfd2f0b
SHA1: 27e01969b2cddf5bc1027ffec7640ccd6e9acb0d
SHA256: 1ac59a061dff3f117e339becc1a60622a58250f4988ff6ab76825f3206063409
SHA512: b580a837e83ee504ec1adca3a8f88c292f092f094891ef9cdf461411eb1351734c4e6d0d403f22efec6eaa04604b66d687fe75ec6d17bdd37bdb6a94306e575a
Homepage: https://cran.r-project.org/package=RegularizedSCA
Description: CRAN Package 'RegularizedSCA' (Regularized Simultaneous Component Based Data Integration)
 It performs regularized simultaneous component based data integration for
 multiblock data.

Package: r-cran-regweight
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-gt, r-cran-lpdensity, r-cran-rlang, r-cran-scales, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-cbps, r-cran-devtools, r-cran-estimatr, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-usaboundaries, r-cran-tibble, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-regweight_1.0.2-1.ca2004.1_all.deb
Size: 308588
MD5sum: 7654170e59d4c26f552b359991496fa3
SHA1: 2ef8b658013c5d954ae9b8053be0f151411358b5
SHA256: 4a62a66f807d7c8327910e1b19059132a8b68497b0320cf08bde4586dac7a52b
SHA512: 233efb8e07d6cbb91ce00c06717c454f34c587df05f7d08d33ae9e09cd82cf7bc6201abbeb0bd947b16e66da4ddea71f2f2a9b1e4b0f4da4fab2d102e95714d8
Homepage: https://cran.r-project.org/package=regweight
Description: CRAN Package 'regweight' (Convenience Functions for Implicit Regression Weights)
 A simple wrapper for calculating regression weights as defined by Aronow and
 Samii (2015) <doi:10.1111/ajps.12185>. Given a model object and a term of
 interest, 'regweight' will calculate implicit regression weights and provide
 a variety of useful visualizations and summary statistics.

Package: r-cran-rehh.data
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3347
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rehh.data_1.0.0-1.ca2004.1_all.deb
Size: 3368312
MD5sum: 4b2051769b239f1c171643f50d586567
SHA1: 69d3a8c461bff126c382d9f885f62f4b5667028c
SHA256: d1ce9f0a33fb9e0d24d9e8019910258d6805fdd11ada6145a437f5b7a9b69b98
SHA512: bb8d78041ca2178b419a472fafa2197b52a9201576997f07aef653dc8c127d25f6e1f66a85368d5e88d970af79f2eb58f7145555ec6aefff3073619c4363e68e
Homepage: https://cran.r-project.org/package=rehh.data
Description: CRAN Package 'rehh.data' (Data Only: Searching for Footprints of Selection using HaplotypeHomozygosity Based Tests)
 Contains example data for the 'rehh' package.

Package: r-cran-rehydrator
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rtweet, r-cran-tibble, r-cran-dplyr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rehydrator_0.5.2-1.ca2004.1_all.deb
Size: 13812
MD5sum: 194d9eb7e320a75adab90f03083d455a
SHA1: 3063ba0b1c6297afbe81ed8507392dfecf4300f4
SHA256: 0397b4ba39321225ce4ac01c6399e4d848be205050716612448fbb1a1418bece
SHA512: 8178f15687a5b44519b92197c8a50ca09bcafbd999a4c671362d1083fb64eca19df6e9cc0b4ab692c58a7661bac81effc4d3bbc61a60a1317900870ed90d838d
Homepage: https://cran.r-project.org/package=rehydratoR
Description: CRAN Package 'rehydratoR' (Downloads Tweets from a List of Tweet IDs)
 Facilitates replication of Twitter-based research by handling common
 programming tasks needed when downloading tweets.  Specifically, it ensures
 a user does not exceed Twitter’s rate limits, and it saves tweets in
 moderately sized files.  While a user could perform these tasks in their own
 code, doing so may be beyond the capabilities of many users.

Package: r-cran-reinforcementlearning
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2272
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-hash, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-reinforcementlearning_1.0.5-1.ca2004.1_all.deb
Size: 2198020
MD5sum: 43f15baf81560e335d49861137baac5e
SHA1: 64a2921e235caced1eb2a676370324769eeacfce
SHA256: 4a6ec8e0a1b6f0b4f88a84919cb5b5d54a779b804a2ce769c956d95e623e68bd
SHA512: 3d9405b685c126575a764a1242a4f044a2d37f04f5e4fbada78cb7825c0b392f35169cbaca7d54637b0b7e7647786ac290c4da840ecdbe27f630bc5bd94ef5b5
Homepage: https://cran.r-project.org/package=ReinforcementLearning
Description: CRAN Package 'ReinforcementLearning' (Model-Free Reinforcement Learning)
 Performs model-free reinforcement learning in R. This implementation enables
 the learning of an optimal policy based on sample sequences consisting of
 states, actions and rewards. In addition, it supplies multiple predefined
 reinforcement learning algorithms, such as experience replay. Methodological
 details can be found in Sutton and Barto (1998) <ISBN:0262039249>.

Package: r-cran-reinstallr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reinstallr_0.1.5-1.ca2004.1_all.deb
Size: 21120
MD5sum: 9b2599422d7cbb55e6ba9867ae6763e1
SHA1: c40a2073e657b5ef28f323a10797b04c8c541e95
SHA256: d88188a4e3f43e75c960eadd0345ed8a4cd3ee42f27e7d5a4000652da3845bea
SHA512: fa30cae98469a03933002c9f55dfcbd956d74e18b2812795c96247ca3f3c77bf8856c0f47f577fe086863b483229e6ec01c1b41a985300574bc235056d9cd5a0
Homepage: https://cran.r-project.org/package=reinstallr
Description: CRAN Package 'reinstallr' (Search and Install Missing Packages)
 Search R files for not installed packages and run install.packages.

Package: r-cran-reinsurer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-viridis, r-cran-viridislite, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-reinsurer_0.1.0-1.ca2004.1_all.deb
Size: 200484
MD5sum: 11cf7ae4c2c7fdc98b87a96167b55c31
SHA1: ee6365608aa6d990c27eff789bcfdc211255443c
SHA256: 6a5ffb1d58f6611b59b8028e5cc8debec7875073b5dea75bc6f194c438d6e24b
SHA512: 0a8d1975d14054d39c407a4eafc5d87606a79a7b5061e85feaed792e182524043233a4452b6655d15029e9d59692a497239384de518121c7ce1e9310d4ea1408
Homepage: https://cran.r-project.org/package=reinsureR
Description: CRAN Package 'reinsureR' (Reinsurance Treaties Application)
 Application of reinsurance treaties to claims portfolios.  The package
 creates a class Claims whose objective is to store claims and premiums, on
 which different treaties can be applied.  A statistical analysis can then be
 applied to measure the impact of reinsurance, producing a table or graphical
 output. This package can be used for estimating the impact of reinsurance on
 several portfolios or for pricing treaties through statistical analysis.
 Documentation for the implemented methods can be found in "Reinsurance:
 Actuarial and Statistical Aspects" by Hansjöerg Albrecher, Jan Beirlant,
 Jozef L. Teugels (2017, ISBN: 978-0-470-77268-3) and "REINSURANCE: A Basic
 Guide to Facultative and Treaty Reinsurance" by Munich Re (2010)
 <https://www.munichre.com/site/mram/get/documents_E96160999/mram/assetpool.mr_america/PDFs/3_Publications/reinsurance_basic_guide.pdf>.

Package: r-cran-relaimpo
Architecture: all
Version: 2.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-boot, r-cran-survey, r-cran-mitools, r-cran-corpcor
Suggests: r-cran-care
Filename: pool/dists/focal/main/r-cran-relaimpo_2.2-7-1.ca2004.1_all.deb
Size: 495940
MD5sum: fc49f58ea092a6e16cc99117ce72f104
SHA1: 96b8334c3f563504a6aa08a6eda97a1d9ad09f98
SHA256: 6504b917e982f2796d924f18152a673a6847c8c2028517468a690a0894753ede
SHA512: e688933c5baee3c70d612dcb604f8253194fab458004941ff5cc413c6cc1d12d00ac4430aea67bbd2b924d4dfaa90840728de2f4759fe0613abc45f839d0f541
Homepage: https://cran.r-project.org/package=relaimpo
Description: CRAN Package 'relaimpo' (Relative Importance of Regressors in Linear Models)
 Provides several metrics for assessing relative importance in linear models.
 These can be printed, plotted and bootstrapped. The recommended metric is
 lmg, which provides a decomposition of the model explained variance into
 non-negative contributions. There is a version of this package available
 that additionally provides a new and also recommended metric called pmvd. If
 you are a non-US user, you can download this extended version from Ulrike
 Groempings web site.

Package: r-cran-relatable
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compare
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-relatable_1.0.0-1.ca2004.1_all.deb
Size: 77752
MD5sum: 695a73fa0104c3e4a9798b61b676013f
SHA1: d749203f3c0528074bb3e7177f05682ca3de5b7c
SHA256: a9ca59c61b93e4d90952b42821aa60a998c48d6eb51518b9dc1a7072f1132e50
SHA512: e1317a591c9fcac04adbf59ccf10d4036e511c2db93e281e0a45cc27e1c56418d9c2bb38ec7671d4a5e6181c32044dc046d370e04cc23e87ff400aeb02b4ae9c
Homepage: https://cran.r-project.org/package=relatable
Description: CRAN Package 'relatable' (Functions for Mapping Key-Value Pairs, Many-to-Many,One-to-Many, and Many-to-One Relations)
 Functions to safely map from a vector of keys to a vector of values,
 determine properties of a given relation, or ensure a relation conforms to a
 given type, such as many-to-many, one-to-many, injective, surjective, or
 bijective. Permits default return values for use similar to a vectorised
 switch statement, as well as safely handling large vectors, NAs, and
 duplicate mappings.

Package: r-cran-relations
Architecture: all
Version: 0.6-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-slam, r-cran-sets
Suggests: r-bioc-rgraphviz, r-cran-clue, r-cran-rglpk, r-cran-lpsolve, r-cran-rsymphony
Filename: pool/dists/focal/main/r-cran-relations_0.6-15-1.ca2004.1_all.deb
Size: 761448
MD5sum: ccf7c555717a178f5a0b3b302b8e5833
SHA1: d8e2ecbd845fb02a6b5d71afa399788f38ed534b
SHA256: 13f4cc3fec24005607e5748a38dfcc24d4600af09ee0f4b8ce74eec42a2c074b
SHA512: dd0f78a29db68c9ca5a0c64ce273288958bc5c57fb7ca605bf2749a01dad2ab710155557477f3384052b1ae75a01e5204c2229a7bb717ff37f6f873dc149d567
Homepage: https://cran.r-project.org/package=relations
Description: CRAN Package 'relations' (Data Structures and Algorithms for Relations)
 Data structures and algorithms for k-ary relations with arbitrary domains,
 featuring relational algebra, predicate functions, and fitters for consensus
 relations.

Package: r-cran-relaxo
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-relaxo_0.1-2-1.ca2004.1_all.deb
Size: 30464
MD5sum: 1efb433650bb7642b6ee2747d3980b96
SHA1: f345547d27ead3ad923b7b28263710c335d9e22f
SHA256: 28a25132227b4ae648eb66e7e3b354cbba83c97869d302b0973c0e410c157d6b
SHA512: 5d247f9a93e1d0cfb57ca3c3f1fb3b7bba62114bd227da5fa9264b02ad78084362694b3c323b79c6131c8d9e4df3e0572de14ba7854679c91da2f410c32694af
Homepage: https://cran.r-project.org/package=relaxo
Description: CRAN Package 'relaxo' (Relaxed Lasso)
 Relaxed Lasso is a generalisation of the Lasso shrinkage technique for
 linear regression. Both variable selection and parameter estimation is
 achieved by regular Lasso, yet both steps do not necessarily use the same
 penalty parameter. The results include all standard Lasso solutions but
 allow often for sparser models while having similar or even slightly better
 predictive performance if many predictor variables are present.  The package
 depends on the LARS package.

Package: r-cran-relcircle
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-relcircle_1.0-1.ca2004.1_all.deb
Size: 46772
MD5sum: 1a948a25f1a193f095c18a4c33c98b27
SHA1: d7cf857e660d14c4b181a0a5e56d61d4690c7c8c
SHA256: 3f0609df36ea7b01c4bbbae776853a57ff47243f018990732d10e3909d765c80
SHA512: 3f9c23811c854e3fc2fedaefe2f462a864893a4e4f2a82983cbf84bcc0a7d63b7a5cad2d0d840c05ff2dc80a835f731dd62904e6509fa47b56489271392aa7e0
Homepage: https://cran.r-project.org/package=relcircle
Description: CRAN Package 'relcircle' (Draw Regulatory Relationships Between Genes)
 According to the order of the loci on the chromosome, the loci can be
 connected according to the interrelationship between them and classified
 according to different locus types.

Package: r-cran-reldist
Architecture: all
Version: 1.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mgcv, r-cran-densestbayes
Suggests: r-cran-locfit
Filename: pool/dists/focal/main/r-cran-reldist_1.7-2-1.ca2004.1_all.deb
Size: 181248
MD5sum: 8df7e379503081acbcf2de36c67301d8
SHA1: 49bcb6d32da081e8c0e32ab4d08d8edd0bf75f3a
SHA256: d4865a13fafc3ea5d9aeec8ff025f804a6938811cebf7893bc42d53a4ba65a67
SHA512: 408b7516938686a9431d3cb4b4390176b962ceb367a6a21c0660d0bb7abea3597c937e1b3f42525998c20b779ee5c42fde9f782590e2634c0b89cdd51f1f3cb0
Homepage: https://cran.r-project.org/package=reldist
Description: CRAN Package 'reldist' (Relative Distribution Methods)
 Tools for the comparison of distributions. This includes nonparametric
 estimation of the relative distribution PDF and CDF and numerical summaries
 as described in "Relative Distribution Methods in the Social Sciences" by
 Mark S. Handcock and Martina Morris, Springer-Verlag, 1999, Springer-Verlag,
 ISBN 0387987789.

Package: r-cran-reldists
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 828
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-estimationtools, r-cran-gamlss, r-cran-gamlss.dist, r-cran-rdpack, r-cran-zipfr, r-cran-bbmisc, r-cran-lamw, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-viridis, r-cran-autoimage, r-cran-gamlss.cens, r-cran-v8
Filename: pool/dists/focal/main/r-cran-reldists_1.0.0-1.ca2004.1_all.deb
Size: 641448
MD5sum: 8da9826640c47838ee4381f8f7e477d8
SHA1: 0cef5b5de4c31fefe459fff308bb62b8de09f5f0
SHA256: 5c9317d150f05e22c7b2c2da44011df0f2d1cabd050ff422b51bf434637400fa
SHA512: da526cacae9f3772d06602333cb89142aba5d5bdd85caa516882fe2f2a5b7d162a0bcb860e74c114df2b5417ef490d626f4881daa0714d886fa84ad45960d97f
Homepage: https://cran.r-project.org/package=RelDists
Description: CRAN Package 'RelDists' (Estimation for some Reliability Distributions)
 Parameters estimation and linear regression models for Reliability
 distributions families reviewed by Almalki & Nadarajah (2014)
 <doi:10.1016/j.ress.2013.11.010> using Generalized Additive Models for
 Location, Scale and Shape, aka GAMLSS by Rigby & Stasinopoulos (2005)
 <doi:10.1111/j.1467-9876.2005.00510.x>.

Package: r-cran-relectoral
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2428
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-ggforce, r-cran-ggplot2, r-cran-xlsx, r-cran-dplyr, r-cran-sf, r-cran-rmarkdown
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-relectoral_0.1.0-1.ca2004.1_all.deb
Size: 1629812
MD5sum: c785ce61579437eb5de5786f6ecc80a8
SHA1: b4fa32f6189c0bd16cce81e10cfef714a4a6ca76
SHA256: f5b3da1a2111ffeafee23dfd9b410805b3177af6cccd4f4eda7634d086002f50
SHA512: 3ddc70c4ac759ad550ad1f9fad5318598a143b33f2c9058a56d1dcadfa64fcc0d783f12a34f397b084447d90bd8a0e91697cd9a6acdf41ecefea3a0d9b70eec4
Homepage: https://cran.r-project.org/package=Relectoral
Description: CRAN Package 'Relectoral' (Electoral Analysis)
 Functions to obtain an important number of electoral indicators described in
 the package, which can be divided into two large sections: The first would
 be the one containing the indicators of electoral disproportionality, such
 as, Rae index, Loosemore–Hanby index, etc. The second group is intended to
 study the dimensions of the party system vote, through the indicators of
 electoral fragmentation, polarization, volatility, etc. Moreover, multiple
 seat allocation simulations can also be performed based on different
 allocation systems, such as the D'Hondt method, Sainte-Laguë, etc. Finally,
 some of these functions have been built so that, if the user wishes, the
 data provided by the Spanish Ministry of Home Office for different electoral
 processes held in Spain can be obtained automatically. All the above will
 allow the users to carry out deep studies on the results obtained in any
 type of electoral process. The methods are described in: Oñate, Pablo and
 Ocaña, Francisco A. (1999, ISBN:9788474762815); Ruiz Rodríguez, Leticia M.
 and Otero Felipe, Patricia (2011, ISBN:9788474766226).

Package: r-cran-relen
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-relen_1.0.1-1.ca2004.1_all.deb
Size: 10568
MD5sum: 5b2f909ff9b750da581a9ec20b5e3665
SHA1: 5b255cdf1ce302ccbfed295068784d85c45b4c98
SHA256: 99a1f712d91cd4321ee5449fd4d2564db4133ca6d64bc5db83d1ac74faf64662
SHA512: 7d427f3ce41ff5eb319a302b0fa4e73c1fd94bb5c9bf5bc5a5f5a325d5d94009ef58d31b23398da043e0baf9dbf5603eb24ebf6d129e314bc39840cbcb88489f
Homepage: https://cran.r-project.org/package=relen
Description: CRAN Package 'relen' (Compute Relative Entropy)
 This function computes the relative entropy (H) as an index for qualitative
 variation of a factor.

Package: r-cran-relevance
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mass, r-cran-survival, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-relevance_2.1-1.ca2004.1_all.deb
Size: 617264
MD5sum: 20fd2bb6d8f8200969a21408a285a8d9
SHA1: 178d597bf875aa847601864600b090d236d2ec15
SHA256: c22ac3188942d5bab03c9e1e93bd2f1e60b5e3da35c4aea84a7e1ce97dd124c7
SHA512: 241f58e510e73f39830a8fe601d8f6d8656b82b760d91ab0dc46b11f35bfc0381b451edd452504c20d862c45fc1f7441a8daf8afd1896a6bf26f805bdf3da65d
Homepage: https://cran.r-project.org/package=relevance
Description: CRAN Package 'relevance' (Calculate Relevance and Significance Measures)
 Calculates relevance and significance values for simple models and for many
 types of regression models.  These are introduced in 'Stahel, Werner A.'
 (2021) "Measuring Significance and Relevance instead of p-values."
 <https://stat.ethz.ch/~stahel/relevance/stahel-relevance2103.pdf>.  These
 notions are also applied to replication studies, as described in the
 manuscript 'Stahel, Werner A.' (2022) "'Replicability': Terminology,
 Measuring Success, and Strategy" available in the documentation.

Package: r-cran-relgam
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 418
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-relgam_1.0-1.ca2004.1_all.deb
Size: 268240
MD5sum: aabc805dfb8e63894547e02e3ed4ff78
SHA1: 9bf82b1a18d014631bd8295b38d22cceb34b7be1
SHA256: f2d42b50869edd7a1e47baefcccb9df95beb356a764a4f68cfcf46b0966d1e4c
SHA512: 767ab2b369bf28fc765449289446733e6c262cb14718262f09ffd74755992c0a2ff2b739b6922cff8eca8c17849b0947c6108d0ecdea1d0548e7816ed8625803
Homepage: https://cran.r-project.org/package=relgam
Description: CRAN Package 'relgam' (Reluctant Generalized Additive Models)
 A method for fitting the entire regularization path of the reluctant
 generalized additive model (RGAM) for linear regression, logistic, Poisson
 and Cox regression models. See Tay, J. K., and Tibshirani, R., (2019)
 <arXiv:1912.01808> for details.

Package: r-cran-reliabilitydiag
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-ggextra, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-bde
Suggests: r-cran-monotone
Filename: pool/dists/focal/main/r-cran-reliabilitydiag_0.2.1-1.ca2004.1_all.deb
Size: 111096
MD5sum: 2ad7433d44871e1a7504bfffb1a60df0
SHA1: 3b2f36b21e500e3e35e4126a269a15d43847026e
SHA256: de64d9fa2b83293b57857b68b7bdded327472ebc3ff9b05f30828d086b476c78
SHA512: 5eac8c92c60f7de1db8a78297074153b7461cb1d96b9451c72f1cef8a54dd4a9abdfeaed1cfa9625ff822002991f66f919705d5d56cd7d9560d7e1e42284dac6
Homepage: https://cran.r-project.org/package=reliabilitydiag
Description: CRAN Package 'reliabilitydiag' (Reliability Diagrams Using Isotonic Regression)
 Checking the reliability of predictions via the CORP approach, which
 generates provably statistically 'C'onsistent, 'O'ptimally binned, and
 'R'eproducible reliability diagrams using the 'P'ool-adjacent-violators
 algorithm. See Dimitriadis, Gneiting, Jordan (2021)
 <doi:10.1073/pnas.2016191118>.

Package: r-cran-reliabilitytheory
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-actuar, r-cran-combinat, r-cran-fraction, r-cran-igraph, r-cran-mcmc, r-cran-phasetype, r-cran-sfsmisc
Suggests: r-cran-testthat, r-cran-reshape2, r-cran-ggplot2, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-reliabilitytheory_0.3.1-1.ca2004.1_all.deb
Size: 271068
MD5sum: 46457540dc476279be06bbc7cdc34ae3
SHA1: 023808abe17a89f6aff215fd231f1ba68f377abb
SHA256: bd095aeafe54690cf64cb7a9beb574a5bc3f7642a3a450a5a7459c7bd3d53762
SHA512: cd7ee71152f81982542d89febc78b373b77c494e2b1245e85076ce586be139fb76049afe8391ecd3ac33ec1153a36ee8db8b9eab5fc3ec12777ad1d172e82dcb
Homepage: https://cran.r-project.org/package=ReliabilityTheory
Description: CRAN Package 'ReliabilityTheory' (Structural Reliability Analysis)
 Perform structural reliability analysis, including computation and
 simulation with system signatures, Samaniego (2007)
 <doi:10.1007/978-0-387-71797-5>, and survival signatures, Coolen and
 Coolen-Maturi (2013) <doi:10.1007/978-3-642-30662-4_8>. Additionally
 supports parametric and topological inference given system lifetime data,
 Aslett (2012) <https://www.louisaslett.com/PhD_Thesis.pdf>.

Package: r-cran-reliagrowr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1013
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-segmented
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reliagrowr_0.1.4-1.ca2004.1_all.deb
Size: 454700
MD5sum: d61ebdaeb1b8e3a39c24ed2e30223391
SHA1: 5fb97a5f76218470bfbd4ed54a9f622de33588cd
SHA256: 6ae569fe24325ab36ba9d68c8eeba04c7d241d8d5ccfada9259bb96bcddfbc3e
SHA512: 04ad593512f8b31fdce554eef3111d10fde6fa93fd728e974caa8cfb55996614f1d091908463f7d483054aef208ff04d7ed70a5212292dbc7ead74e47a7997fd
Homepage: https://cran.r-project.org/package=ReliaGrowR
Description: CRAN Package 'ReliaGrowR' (Reliability Growth Analysis)
 Modeling and plotting functions for Reliability Growth Analysis (RGA).
 Models include the Duane (1962) <doi:10.1109/TA.1964.4319640>,
 Non-Homogeneous Poisson Process (NHPP) by Crow (1975)
 <https://apps.dtic.mil/sti/citations/ADA020296>, Piecewise Weibull NHPP by
 Guo et al. (2010) <doi:10.1109/RAMS.2010.5448029>, and Piecewise Weibull
 NHPP with Change Point Detection based on the 'segmented' package by Muggeo
 (2024) <https://cran.r-project.org/package=segmented>.

Package: r-cran-relimp
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-nnet, r-cran-mass, r-cran-rcmdr
Filename: pool/dists/focal/main/r-cran-relimp_1.0-5-1.ca2004.1_all.deb
Size: 76528
MD5sum: 2ffabcd9ac816ff444413768a5c07920
SHA1: 27dd004eff3e4ed0d55de0578f47928596fd660e
SHA256: 974dacb2e3778ebc5352cbb0b5f5bed4934a345bad69706c5c6e842ffa5e420f
SHA512: d47d420f31b26dfd297a4a0f57b8d9b3970ed205bb04bb0c45f568f6969c1dae7c252de70c38bfcbfbcd46131fea4c0120f1753683ad7f7d5e16b654319e762c
Homepage: https://cran.r-project.org/package=relimp
Description: CRAN Package 'relimp' (Relative Contribution of Effects in a Regression Model)
 Functions to facilitate inference on the relative importance of predictors
 in a linear or generalized linear model, and a couple of useful Tcl/Tk
 widgets.

Package: r-cran-relimppcr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-relaimpo, r-cran-rmisc, r-cran-caret, r-cran-ggplot2, r-cran-reshape2, r-cran-logger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-relimppcr_0.3.0-1.ca2004.1_all.deb
Size: 34560
MD5sum: fe6dcf5945c37a6d4944324ba9ad471f
SHA1: a7ca8cbc7e242d7a4f53e6e38a9bd86a34fa131c
SHA256: d568a25ab269b62d809a11413008dc6a3ff7a4a5c0513040bb3b912f419d637b
SHA512: 98b0510baec692ce1d7389e244b2f59380268d229ae3eb1b01792b43574842d1a39f0ba3978d99502c762b78077b1b6abc275abc1eada1f1dbaeafae3ab606c3
Homepage: https://cran.r-project.org/package=RelimpPCR
Description: CRAN Package 'RelimpPCR' (Relative Importance PCA Regression)
 Performs Principal Components Analysis (also known as PCA) dimensionality
 reduction in the context of a linear regression. In most cases, PCA
 dimensionality reduction is performed independent of the response variable
 for a regression. This captures the majority of the variance of the model's
 predictors, but may not actually be the optimal dimensionality reduction
 solution for a regression against the response variable. An alternative
 method, optimized for a regression against the response variable, is to use
 both PCA and a relative importance measure. This package applies PCA to a
 given data frame of predictors, and then calculates the relative importance
 of each PCA factor against the response variable. It outputs ordered factors
 that are optimized for model fit. By performing dimensionality reduction
 with this method, an individual can achieve a the same r-squared value as
 performing just PCA, but with fewer PCA factors. References: Yuri Balasanov
 (2017) <https://ilykei.com>.

Package: r-cran-relmix
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-familias, r-cran-flextable, r-cran-officer, r-cran-pedfamilias, r-cran-pedtools
Suggests: r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-relmix_1.4.1-1.ca2004.1_all.deb
Size: 257116
MD5sum: 6321983d27f1b99567dbe997ff234249
SHA1: a8bf2a2f1dfb747a27e4b0a53f8761c985f2a95a
SHA256: b53be7a947a70436c4f14da892b89f3cb4e60b13f807bb1b14c464218691a554
SHA512: d8303c89f22e52d632fc8d56aaa9ab08008bb2b09bb6769fa06f4e875f47373715c2440178e3b84fab95095ba98d9e8a3cfb7fda40087bd56ad9c5ebb4bc9407
Homepage: https://cran.r-project.org/package=relMix
Description: CRAN Package 'relMix' (Relationship Inference for DNA Mixtures)
 Analysis of DNA mixtures involving relatives by computation of likelihood
 ratios that account for dropout and drop-in, mutations, silent alleles and
 population substructure. This is useful in kinship cases, like non-invasive
 prenatal paternity testing, where deductions about individuals'
 relationships rely on DNA mixtures, and in criminal cases where the
 contributors to a mixed DNA stain may be related. Relationships are
 represented by pedigrees and can include kinship between more than two
 individuals. The main function is relMix() and its graphical user interface
 relMixGUI().  The implementation and method is described in Dorum et al.
 (2017) <doi:10.1007/s00414-016-1526-x>, Hernandis et al. (2019)
 <doi:10.1016/j.fsigss.2019.09.085> and Kaur et al. (2016)
 <doi:10.1007/s00414-015-1276-1>.

Package: r-cran-relvalanalysis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-relvalanalysis_1.0-1.ca2004.1_all.deb
Size: 150876
MD5sum: b2367cfee1f997f3cfe87679ca060b0f
SHA1: fa06baf8b8e3c79558cd6e43abf97752be9989b2
SHA256: 7f312c7d633f812d3447f6e3152886a0e9c963f8931d4f8d2f7dc878a126a6b7
SHA512: 46b549cbddca922717192543e8d9157c398b0de6468d2095e3341cd1e3dc0da0ce639c731bbfe56bc3b77fb05394826ab2ce5c7f671181393b544ec8617715de
Homepage: https://cran.r-project.org/package=RelValAnalysis
Description: CRAN Package 'RelValAnalysis' (Relative Value Analysis)
 Classes and functions for analyzing the performance of portfolios relative
 to a benchmark.

Package: r-cran-remap
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1095
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-units
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-maps, r-cran-mgcv, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-remap_0.3.2-1.ca2004.1_all.deb
Size: 550092
MD5sum: bf3189a444af9c40b07aa047ec2b9e6b
SHA1: 24fdda6b85177dc9e99e15aab11100e76406e153
SHA256: d9ff81e56c5a7660f902026f6bfcf8882d06c40a26e8fbc33d312505c914fdaf
SHA512: 5104b6e44e61c37272a240c41b601974f6e08fc4b930bdddd63798d9b58f964c187dd39870abd62315ef77a1423e4d953dbbaf0006caa649275c0d9253ec2b76
Homepage: https://cran.r-project.org/package=remap
Description: CRAN Package 'remap' (Regional Spatial Modeling with Continuous Borders)
 Automatically creates separate regression models for different spatial
 regions. The prediction surface is smoothed using a regional border
 smoothing method. If regional models are continuous, the resulting
 prediction surface is continuous across the spatial dimensions, even at
 region borders. Methodology is described in Wagstaff and Bean (2023)
 <doi:10.32614/RJ-2023-004>.

Package: r-cran-rematch2
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rematch2_2.1.2-1.ca2004.1_all.deb
Size: 45484
MD5sum: 9ed69cf204a487d6c43e7f844bd1ba0a
SHA1: 53e4254957ba769c89a1beb42232850da4867953
SHA256: 96722af2975b5179b7ea5180d6c93679b0ddc5325bd02d25f4eb6407562920ca
SHA512: 5bdf49bdcfe73319c7dc5fced18e8d63ac55f1dbdd3b7582351fac5375501bfc1015429d24ec233039d0f7357b2721266ef19d40124a93cac404651ada27c88a
Homepage: https://cran.r-project.org/package=rematch2
Description: CRAN Package 'rematch2' (Tidy Output from Regular Expression Matching)
 Wrappers on 'regexpr' and 'gregexpr' to return the match results in tidy
 data frames.

Package: r-cran-rematch
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rematch_2.0.0-1.ca2004.1_all.deb
Size: 17320
MD5sum: bd70af9ea006fa55699767097fd2a8c1
SHA1: 8257bb067184caa62363dafd67a893d87247ff1d
SHA256: f3fe24ff0ee33dba4d090a7f7fb2cd6173f95a9235062cdb71938afc90a98239
SHA512: a70fe3afb4facb4955cf6ef8f79b6f44ea7f91cae6b5a65e5e41aa6425be26aa864f5986cd59e05299f56ebd5e79a336df1d883970a7e7401c4e6c56df9c0e7e
Homepage: https://cran.r-project.org/package=rematch
Description: CRAN Package 'rematch' (Match Regular Expressions with a Nicer 'API')
 A small wrapper on 'regexpr' to extract the matches and captured groups from
 the match of a regular expression to a character vector.

Package: r-cran-remedy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-rstudioapi, r-cran-rematch2
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-remedy_0.1.0-1.ca2004.1_all.deb
Size: 98272
MD5sum: be859fc73274cf162d1654e23a941c8e
SHA1: bcb7c3b46b32caed8ba2e64ffa856e958f28a8fd
SHA256: cd000934075786ee034ad77526318f5f11a81798121eba85d7ee159312e524dc
SHA512: fa14d2c6e84d18dff39d7b88434425fa233764e7fe4de64e24cf54ae6620f56ed478c462dab73542501eb23fd3dd16510a2e2a822a81736bb1fae2f489a2fdf3
Homepage: https://cran.r-project.org/package=remedy
Description: CRAN Package 'remedy' ('RStudio' Addins to Simplify 'Markdown' Writing)
 An 'RStudio' addin providing shortcuts for writing in 'Markdown'. This
 package provides a series of functions that allow the user to be more
 efficient when using 'Markdown'. For example, you can select a word, and put
 it in bold or in italics, or change the alignment of elements inside you
 Rmd. The idea is to map all the functionalities from 'remedy' on keyboard
 shortcuts, so that it provides an interface close to what you can find in
 any other text editor.

Package: r-cran-remfpca
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2745
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-fda, r-cran-expm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-remfpca_2.0.0-1.ca2004.1_all.deb
Size: 2719828
MD5sum: 9eee3ae8dfe47fdd812de00878ccad08
SHA1: 54c763bc81739a0b6449afb488bfdaad317bb356
SHA256: bad4a6bd40120c21bb786ad3b6a456f36072417cfba5230a58556067178cc824
SHA512: 5f9511bf523f0f808b1c737c7e9891b0c9f8a0eefc8061ebaa79d5021441085cbb7876dbcdba85c4930759002fc046c25b928c08f66c3cd80da2a290160f26fc
Homepage: https://cran.r-project.org/package=ReMFPCA
Description: CRAN Package 'ReMFPCA' (Regularized Multivariate Functional Principal Component Analysis)
 Methods and tools for implementing regularized multivariate functional
 principal component analysis ('ReMFPCA') for multivariate functional data
 whose variables might be observed over different dimensional domains.
 'ReMFPCA' is an object-oriented interface leveraging the extensibility and
 scalability of R6. It employs a parameter vector to control the smoothness
 of each functional variable. By incorporating smoothness constraints as
 penalty terms within a regularized optimization framework, 'ReMFPCA'
 generates smooth multivariate functional principal components, offering a
 concise and interpretable representation of the data. For detailed
 information on the methods and techniques used in 'ReMFPCA', please refer to
 Haghbin et al. (2023) <doi:10.48550/arXiv.2306.13980>.

Package: r-cran-remindr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-remindr_0.0.1-1.ca2004.1_all.deb
Size: 27040
MD5sum: 5b00d3b18e6354c2dcab5b4d31189951
SHA1: 05895a1e0b5dbde0ef1619ced9ad5334bd986738
SHA256: 9c6e38b578048b40f7e9940db00f3b79842c941d64999c6022885ff44d32e1c0
SHA512: 478add5b59f2b4b859e2a246e2be423671de6d417e1f0ef01a4dd763f77bd00485bc35c6f0f203c5b6a511da44d53a7fc8533bd9a2ad3bbb9c8c3e23f45f2638
Homepage: https://cran.r-project.org/package=remindR
Description: CRAN Package 'remindR' (Insert and Extract "Reminders" from Function Comments)
 Insert/extract text "reminders" into/from function source code comments or
 as the "comment" attribute of any object.  The former can be handy in
 development as reminders of e.g. argument requirements, expected objects in
 the calling environment, required options settings, etc. The latter can be
 used to provide information of the object and as simple manual "tooltips"
 for users, among other things.

Package: r-cran-remiod
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jointai, r-cran-rjags, r-cran-coda, r-cran-foreach, r-cran-data.table, r-cran-future, r-cran-dofuture, r-cran-mathjaxr, r-cran-survival, r-cran-ggplot2, r-cran-ordinal, r-cran-progressr, r-cran-matrix, r-cran-mcmcse
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-r.rsp, r-cran-ggpubr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-remiod_1.0.2-1.ca2004.1_all.deb
Size: 568096
MD5sum: b0dfa6448f6b727dedde9753d0075154
SHA1: 21ba9ffae459b91ac9839e652d7c82378d60914b
SHA256: 433852de9251aab5fc45d0dbf91bea32f0bf001d23a2a2b7a3e8f07201b5b431
SHA512: 6f20f274b69a64546d7280a111273cd5b72c81c8aee6d0f067fe115e8b6c371a9cb1c3bed9a29125d445491d1caa6cf2ff4f247940294901b6a575e3034140b4
Homepage: https://cran.r-project.org/package=remiod
Description: CRAN Package 'remiod' (Reference-Based Multiple Imputation for Ordinal/Binary Response)
 Reference-based multiple imputation of ordinal and binary responses under
 Bayesian framework, as described in Wang and Liu (2022) <arXiv:2203.02771>.
 Methods for missing-not-at-random include Jump-to-Reference (J2R), Copy
 Reference (CR), and Delta Adjustment which can generate tipping point
 analysis.

Package: r-cran-remixed
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 634
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-foreach, r-cran-desolve, r-cran-rsmlx, r-cran-dosnow, r-cran-dplyr, r-cran-fastghquad, r-cran-ggplot2, r-cran-snow, r-cran-stringr, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-remixed_0.1.0-1.ca2004.1_all.deb
Size: 416544
MD5sum: 17db5165e8fbc886240ac7b5b0cc899c
SHA1: 381eaf4d35773e3fb972dac71b790c90b3cdd2ad
SHA256: 5609beffc7cb72e175ef6617ac793c8de31716504ea8ea3278249ef8a0a6ea4a
SHA512: 0ac9dbaaf4f844a64bdf5a9f4502bf7cb60f73eed1fe02db2153fa24ed970f4f558da087ca613eea24334c9ad1640a8c41a37cddc934ac10292371dd31abf281
Homepage: https://cran.r-project.org/package=REMixed
Description: CRAN Package 'REMixed' (Regularized Estimation in Mixed Effect Model)
 Implementation of an algorithm in two steps to estimate parameters of a
 model whose latent dynamics are inferred through latent processes, jointly
 regularized. This package uses 'Monolix' software
 (<https://monolixsuite.slp-software.com/>), which provide robust statistical
 method for non-linear mixed effects modeling. 'Monolix' must have been
 installed prior to use.

Package: r-cran-remla
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gparotation, r-cran-geex
Suggests: r-cran-knitr, r-cran-lavaan, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-remla_1.2.0-1.ca2004.1_all.deb
Size: 94124
MD5sum: 3c613dfbaf75b51a9b624734d07719f1
SHA1: d067064e4df747bfa389a5cf15f1d10532544adb
SHA256: 70a58f7edcc29f4f95b9b40e6aa8577311c2154413b6cf51c3ed6774d98097b3
SHA512: 0b8c1e5304e03f65eaf37b9efefbe78a9c48bc4b7bffbab17c397e79c33963c4af468984c24622bab0623cec7446f6d86fb6f8e0b3561d93ead17c20f3b60111
Homepage: https://cran.r-project.org/package=REMLA
Description: CRAN Package 'REMLA' (Robust Expectation-Maximization Estimation for Latent VariableModels)
 Traditional latent variable models assume that the population is
 homogeneous, meaning that all individuals in the population are assumed to
 have the same latent structure. However, this assumption is often violated
 in practice given that individuals may differ in their age, gender,
 socioeconomic status, and other factors that can affect their latent
 structure. The robust expectation maximization (REM) algorithm is a
 statistical method for estimating the parameters of a latent variable model
 in the presence of population heterogeneity as recommended by Nieser &
 Cochran (2023) <doi:10.1037/met0000413>. The REM algorithm is based on the
 expectation-maximization (EM) algorithm, but it allows for the case when all
 the data are generated by the assumed data generating model.

Package: r-cran-remm
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1150
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stream, r-cran-cluster, r-cran-clustergeneration, r-cran-mass, r-cran-proxy, r-cran-igraph
Suggests: r-bioc-graph, r-bioc-rgraphviz, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-remm_1.2.1-1.ca2004.1_all.deb
Size: 915916
MD5sum: 8aa77fd1b24b7dcc263b14dc877401a5
SHA1: 6157b65f8066b292bd9b576c9c7a0878ae480907
SHA256: 2c28ce57a39e445a0e32078dbab2997d5f40f3d5303e875cce01af811c426e83
SHA512: 6c9a4def1ee3d41f8eb4b9666dc7a095dfb1da7bbaa5b6a714d563faa024bfde8acc0338188aa5b35e96e47a0eba20d1c7cf51f46ac4223745a05af63480fa3f
Homepage: https://cran.r-project.org/package=rEMM
Description: CRAN Package 'rEMM' (Extensible Markov Model for Modelling Temporal RelationshipsBetween Clusters)
 Implements TRACDS (Temporal Relationships between Clusters for Data
 Streams), a generalization of Extensible Markov Model (EMM). TRACDS adds a
 temporal or order model to data stream clustering by superimposing a
 dynamically adapting Markov Chain. Also provides an implementation of EMM
 (TRACDS on top of tNN data stream clustering). Development of this package
 was supported in part by NSF IIS-0948893 and R21HG005912 from the National
 Human Genome Research Institute. Hahsler and Dunham (2010)
 <doi:10.18637/jss.v035.i05>.

Package: r-cran-remmy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-httr2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-remmy_0.1.0-1.ca2004.1_all.deb
Size: 342972
MD5sum: bb7f6357de3c4599e89f1d6890171b77
SHA1: 892c5d2e1ef3219e3d105463dfc8e3ac23ae07c5
SHA256: dc2d346726d3c8beaec0aa35b94bb106de8a64964e492e9076d2597fc4e255d7
SHA512: 73736008e044d80fbee8ddbe5c9569526a85f43dfcc4cdd5d192cd0becf5ef1dcd32836fb4011d10647ffda13660e4144ad11b48454f74651b30fb4211300ade
Homepage: https://cran.r-project.org/package=remmy
Description: CRAN Package 'remmy' (API Client for 'Lemmy')
 An HTTP API client for 'Lemmy' (<https://github.com/LemmyNet/lemmy>) in R.
 Code and documentation are generated from the official 'JavaScript' client
 source (<https://github.com/LemmyNet/lemmy-js-client>).

Package: r-cran-remoter
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 677
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbdzmq, r-cran-getpass, r-cran-argon2, r-cran-png
Suggests: r-cran-sodium
Filename: pool/dists/focal/main/r-cran-remoter_0.4-0-1.ca2004.1_all.deb
Size: 598516
MD5sum: 350a403618b46ec3a9626cb2aea538ed
SHA1: fe507a5fdfbcdb5e3a5183d31ee41823eb714bac
SHA256: 9cd0c4d71d82e14facce9b297321bd2106419ecb42a1e5c9845ab12f6750a598
SHA512: 5d36bfeb4e2d01e81574d0b75a834ffd6b8b4c2d53bb3e0a73a8f8f6eba13d4d6d34128978fdf56b418ae481392800526a16cbf05b689da80286b0c0223aedfc
Homepage: https://cran.r-project.org/package=remoter
Description: CRAN Package 'remoter' (Remote R: Control a Remote R Session from a Local One)
 A set of utilities for client/server computing with R, controlling a remote
 R session (the server) from a local one (the client).  Simply set up a
 server (see package vignette for more details) and connect to it from your
 local R session ('RStudio', terminal, etc).  The client/server framework is
 a custom 'REPL' and runs entirely in your R session without the need for
 installing a custom environment on your system.  Network communication is
 handled by the 'ZeroMQ' library by way of the 'pbdZMQ' package.

Package: r-cran-remotes
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-brew, r-cran-callr, r-cran-codetools, r-cran-covr, r-cran-curl, r-cran-git2r, r-cran-knitr, r-cran-mockery, r-cran-pingr, r-cran-pkgbuild, r-cran-rmarkdown, r-cran-rprojroot, r-cran-testthat, r-cran-webfakes, r-cran-withr
Filename: pool/dists/focal/main/r-cran-remotes_2.5.0-1.ca2004.1_all.deb
Size: 416792
MD5sum: d52b06d7c5dd6fa9a6c1548e12bb2cc1
SHA1: e8272ca400ec926b826bd20cce7dd0bf81106762
SHA256: afb9ce2614f815c4b7fb456f2d43050a979a34638b55f2cd499639d1e82780d5
SHA512: 24a8783d39681d0a1b3145eac58d6e4d055a1042543ffb2d0ae2deabbf8e810cd1379d5cac311c900d6f23280f627726373e5aa386db3a8f4e496fe47d7f138f
Homepage: https://cran.r-project.org/package=remotes
Description: CRAN Package 'remotes' (R Package Installation from Remote Repositories, Including'GitHub')
 Download and install R packages stored in 'GitHub', 'GitLab', 'Bitbucket',
 'Bioconductor', or plain 'subversion' or 'git' repositories.  This package
 provides the 'install_*' functions in 'devtools'. Indeed most of the code
 was copied over from 'devtools'.

Package: r-cran-rempsyc
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3688
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-flextable, r-cran-ggplot2, r-cran-effectsize, r-cran-performance, r-cran-insight, r-cran-correlation, r-cran-datawizard, r-cran-report, r-cran-modelbased, r-cran-see, r-cran-lmtest, r-cran-ggrepel, r-cran-boot, r-cran-bootes, r-cran-ggsignif, r-cran-qqplotr, r-cran-broom, r-cran-emmeans, r-cran-ggpubr, r-cran-interactions, r-cran-openxlsx2, r-cran-patchwork, r-cran-psych, r-cran-venndiagram, r-cran-rmisc, r-cran-tidyr, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rempsyc_0.1.9-1.ca2004.1_all.deb
Size: 2143192
MD5sum: 59ba950462e469f0bfb276d2ad685c45
SHA1: b4ede5bfaaa3d44b61598418c6c2cc224023e9db
SHA256: 1ccb1c4f9f495c113915890bfaeb3cd0c723e38c8968f1b55a8439953b8619b4
SHA512: 400fa905ddb23e40d6ab8eac1ae34b6528f2e7f363a44e8ecf862487501aa6315904073ca47efcc2accb3fec590a88dec3d5b28be25274d4b2aa76d69a2e358a
Homepage: https://cran.r-project.org/package=rempsyc
Description: CRAN Package 'rempsyc' (Convenience Functions for Psychology)
 Make your workflow faster and easier. Easily customizable plots (via
 'ggplot2'), nice APA tables (following the style of the *American
 Psychological Association*) exportable to Word (via 'flextable'), easily run
 statistical tests or check assumptions, and automatize various other tasks.

Package: r-cran-remss
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-remss_1.0.1-1.ca2004.1_all.deb
Size: 71220
MD5sum: 698a8119f70f7d73474fd3e4c308d636
SHA1: 6d7259934c1eaa37a5d9330590271c6e236b1723
SHA256: d9e2929822d45521a21c3d8c44cec89b618fa65b01663566c76594b9e3780239
SHA512: befb9d8a71501eef648e1e0277d640dd29ece8f6691691297f3df215f1a5eb90578ce39d2529eb86f05e16508d5b9e2ecb82565a828aed7e1d5cc2fc3f033da0
Homepage: https://cran.r-project.org/package=remss
Description: CRAN Package 'remss' (Refining Evaluation Methodology on Stage System)
 T (extent of the primary tumor), N (absence or presence and extent of
 regional lymph node metastasis) and M (absence or presence of distant
 metastasis) are three components to describe the anatomical tumor extent.
 TNM stage is important in treatment decision-making and outcome predicting.
 The existing oropharyngeal Cancer (OPC) TNM stages have not made distinction
 of the two sub sites of Human papillomavirus positive (HPV+) and Human
 papillomavirus negative (HPV-) diseases. We developed novel criteria to
 assess performance of the TNM stage grouping schemes based on parametric
 modeling adjusting on important clinical factors. These criteria evaluate
 the TNM stage grouping scheme in five different measures: hazard
 consistency, hazard discrimination, explained variation, likelihood
 difference, and balance. The methods are described in Xu, W., et al. (2015)
 <https://www.austinpublishinggroup.com/biometrics/fulltext/biometrics-v2-id1014.php>.

Package: r-cran-ren
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-glmnet, r-cran-quadprog, r-cran-doparallel, r-cran-matrix, r-cran-tictoc, r-cran-corpcor, r-cran-ggplot2, r-cran-reshape2, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kernsmooth, r-cran-cluster, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ren_0.1.0-1.ca2004.1_all.deb
Size: 1731112
MD5sum: ad467a27bd2286afe5a55370356e7af6
SHA1: 209d102acf963d5ddbf883a9bf7ee7f7882bc738
SHA256: cec0c50cfad623b5d77d0a83ae1075a5ea26f5d3858ece85f1504ca91a1d01ed
SHA512: fd263f9add09a0222b209e77c45c8108e5d8fc17862be9e60e21d3a581cf1285488ab328306bfb9660469dc61406fd6f4ec325cdcbe3a7d4286af29358029f85
Homepage: https://cran.r-project.org/package=REN
Description: CRAN Package 'REN' (Regularization Ensemble for Robust Portfolio Optimization)
 Portfolio optimization is achieved through a combination of regularization
 techniques and ensemble methods that are designed to generate stable
 out-of-sample return predictions, particularly in the presence of strong
 correlations among assets. The package includes functions for data
 preparation, parallel processing, and portfolio analysis using methods such
 as Mean-Variance, James-Stein, LASSO, Ridge Regression, and Equal Weighting.
 It also provides visualization tools and performance metrics, such as the
 Sharpe ratio, volatility, and maximum drawdown, to assess the results.

Package: r-cran-rencher
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rencher_0.1.3-1.ca2004.1_all.deb
Size: 170904
MD5sum: 84e6ef411b786ef2d546cb021e8d8fcf
SHA1: 2d4eb53199543c4361121d040ca6c41377dfc447
SHA256: 8d8128c4f88b1e72edcf58f7edb60483c0f790d3df012f50834b939d1eb8b6e6
SHA512: 3417d5815a2c54c9cb4afca96a4c235529421837aea0eb941b48b8b963e592231bad8be4475c0d8f46bb1e18152cdd0b3a1ca644e0a8d1148c670d6d6c7062fe
Homepage: https://cran.r-project.org/package=rencher
Description: CRAN Package 'rencher' (Datasets from the Book "Methods of Multivariate Analysis (3rd)")
 Provides the datasets in the book "Methods of Multivariate Analysis (3rd)",
 such as Table 6.27 Blood Pressure Data, for statistical analysis,especially
 MANOVA. The dataset names correspond to their numbering in the third edition
 of the book, such as table6.27. Based on the book by Rencher and Christensen
 (2012, ISBN:9780470178966).

Package: r-cran-renderthis
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1065
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-digest, r-cran-fs, r-cran-jsonlite, r-cran-magick, r-cran-pagedown, r-cran-progress, r-cran-quarto, r-cran-rmarkdown, r-cran-withr, r-cran-xaringan, r-cran-zip
Suggests: r-cran-av, r-cran-chromote, r-cran-knitr, r-cran-lifecycle, r-cran-officer, r-cran-pdftools, r-cran-testthat, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-renderthis_0.2.0-1.ca2004.1_all.deb
Size: 840924
MD5sum: d8147c587313ce97309b1a45fb2e03dd
SHA1: eb72b960e52b6c552fcef6c921de92a22229066e
SHA256: 28f297fc9c70b8484b4989eace137063b5a5f502167af7fb76a71eacb75fb702
SHA512: 6edf402ea1f4a2ff3c6d3ba185664391f4cc9bb69778fd0bbf1f19988c6d3db4b6f2688448cdb85af569b15c3212108d586c289243fc0366209077a1b9bf5f78
Homepage: https://cran.r-project.org/package=renderthis
Description: CRAN Package 'renderthis' (Render Slides to Different Formats)
 Render slides to different formats, including 'html', 'pdf', 'png', 'gif',
 'pptx', and 'mp4', as well as a 'social' output, a 'png' of the first slide
 re-sized for sharing on social media.

Package: r-cran-renext
Architecture: all
Version: 3.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1995
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-evd, r-cran-numderiv
Suggests: r-cran-mass, r-cran-ismev, r-cran-xml
Filename: pool/dists/focal/main/r-cran-renext_3.1-4-1.ca2004.1_all.deb
Size: 1885180
MD5sum: 683ad7796ed48d06451aacc436cf4bb3
SHA1: 90d69aefc3f7fcf7e6254be16265d218ba24ed6d
SHA256: 92c5ca69ea1ceeedf2dff3999988162dd5fde8f6234a16ce0222b98b0726a8c9
SHA512: 132526754e752e5890e5fe02032954180405c744dd74b381169d40c9c6fae15eec58b8fa33ebf6f900203256d528e765e036c0b6a96b2e3d88967bf0b55b36f7
Homepage: https://cran.r-project.org/package=Renext
Description: CRAN Package 'Renext' (Renewal Method for Extreme Values Extrapolation)
 Peaks Over Threshold (POT) or 'methode du renouvellement'. The distribution
 for the excesses can be chosen, and heterogeneous data (including historical
 data or block data) can be used in a Maximum-Likelihood framework.

Package: r-cran-renpow
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3269
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-renpow_0.1-1-1.ca2004.1_all.deb
Size: 1851952
MD5sum: 7625bf7db1581dbfd7ccd954f296e0c1
SHA1: a48677495fe561fbab7c4c7b1c6bc09599babc5f
SHA256: b6c45d9de02efa7bac38ee28a4b447b80e6947324fa9b867908309237765d0a8
SHA512: 0441588066ddd60970da818c57518f252318bee975998a1ea22e70ef6ee183f8e51744617a520e2afd87660050f5a2f764403448864bc321e1b090b2fbbabdb9
Homepage: https://cran.r-project.org/package=renpow
Description: CRAN Package 'renpow' (Renewable Power Systems and the Environment)
 Supports calculations and visualization for renewable power systems and the
 environment. Analysis and graphical tools for DC and AC circuits and their
 use in electric power systems. Analysis and graphical tools for
 thermodynamic cycles and heat engines, supporting efficiency calculations in
 coal-fired power plants, gas-fired power plants. Calculations of carbon
 emissions and atmospheric CO2 dynamics. Analysis of power flow and demand
 for the grid, as well as power models for microgrids and off-grid systems.
 Provides resource and power generation for hydro power, wind power, and
 solar power.

Package: r-cran-rentrez
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rentrez_1.2.4-1.ca2004.1_all.deb
Size: 120796
MD5sum: 24d9feedb55dcbb5cb851103511d6379
SHA1: 35d119a447173e93e64931570a7b5eeaff134913
SHA256: e90e05f1d025d26cf746ee74853eb3b76e67faa4adf519bdb0d13ae3981c5fed
SHA512: 7c84149e7290c3fe4969a265c3e8575561d33a83721d762cec94b8c37a16a82bcf8a8d1b7638bd361b86a5b739b2ed1da7f054297f4ff7bf69a4640b7970adab
Homepage: https://cran.r-project.org/package=rentrez
Description: CRAN Package 'rentrez' ('Entrez' in R)
 Provides an R interface to the NCBI's 'EUtils' API, allowing users to search
 databases like 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/> and
 'PubMed' <https://pubmed.ncbi.nlm.nih.gov/>, process the results of those
 searches and pull data into their R sessions.

Package: r-cran-renv
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3099
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-biocmanager, r-cran-cli, r-cran-covr, r-cran-cpp11, r-cran-devtools, r-cran-gitcreds, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-knitr, r-cran-miniui, r-cran-modules, r-cran-packrat, r-cran-pak, r-cran-r6, r-cran-remotes, r-cran-reticulate, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat, r-cran-uuid, r-cran-waldo, r-cran-yaml, r-cran-webfakes
Filename: pool/dists/focal/main/r-cran-renv_1.1.4-1.ca2004.1_all.deb
Size: 2275548
MD5sum: fbc416982c3891a44d274c519c0ddf9d
SHA1: f006abd0025ebdb16e2342d788f8fac49258b8d4
SHA256: 8b63ba0ee14ad28b98e59a374d8a70b407776311115c2a0fc96d63488e57ea03
SHA512: fad4cf76e8f4587ce192218af1e3e0eda2d9330e43c17eb0174c222d3ae65588a47ef6c8bcdcd410d890e9694a9ca459892529495901d6b662f0c2e87fc74970
Homepage: https://cran.r-project.org/package=renv
Description: CRAN Package 'renv' (Project Environments)
 A dependency management toolkit for R. Using 'renv', you can create and
 manage project-local R libraries, save the state of these libraries to a
 'lockfile', and later restore your library as required. Together, these
 tools can help make your projects more isolated, portable, and reproducible.

Package: r-cran-renvlp
Architecture: all
Version: 3.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 876
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rsolnp, r-cran-orthogonalsplinebasis, r-cran-pls, r-cran-matrixcalc, r-cran-matrix
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-renvlp_3.4.5-1.ca2004.1_all.deb
Size: 802008
MD5sum: 1f9d95ad25180a085ebb3367089d4c0c
SHA1: 5539ebc97311ac5857fb983ef8ea4009fb2d2185
SHA256: 70e94b22b7e7702749ed6e76cbb973fea821853e1ec8db1f785759fc134fd074
SHA512: db3deebcab963e5506aaa1755760392d9bfa6a7d37a87ebac9924f5c3296a90add60316bb2d02c3147a31cedf6ffcd383f2e8b91b9a7bfcc30cd399534dea51f
Homepage: https://cran.r-project.org/package=Renvlp
Description: CRAN Package 'Renvlp' (Computing Envelope Estimators)
 Provides a general routine, envMU, which allows estimation of the M envelope
 of span(U) given root n consistent estimators of M and U. The routine envMU
 does not presume a model.  This package implements response envelopes,
 partial response envelopes, envelopes in the predictor space,
 heteroscedastic envelopes, simultaneous envelopes, scaled response
 envelopes, scaled envelopes in the predictor space, groupwise envelopes,
 weighted envelopes, envelopes in logistic regression, envelopes in Poisson
 regression envelopes in function-on-function linear regression,
 envelope-based Partial Partial Least Squares, envelopes with non-constant
 error covariance, envelopes with t-distributed errors, reduced rank
 envelopes and reduced rank envelopes with non-constant error covariance. For
 each of these model-based routines the package provides inference tools
 including bootstrap, cross validation, estimation and prediction, hypothesis
 testing on coefficients are included except for weighted envelopes. Tools
 for selection of dimension include AIC, BIC and likelihood ratio testing.
 Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016)
 <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise
 coordinate descent algorithm.

Package: r-cran-renvmodule
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-renvmodule_1.1-1.ca2004.1_all.deb
Size: 125488
MD5sum: e546d4e3f1de95f0e85278040b6a4086
SHA1: 35dcd5526f9b1671068855a3719800e3e11aa140
SHA256: 58204e04c0988d3a9bc98da7a22838001f6eb27d7e2177186d01d134d7e5fbf0
SHA512: 8b08bf2548defd04f785422f400e8c4d9268aeceb1004c95fc51737164488a0680fdc08fe2d3932793cb2bf9134df176e57be1d05990f2846a2c473a6c44405e
Homepage: https://cran.r-project.org/package=RenvModule
Description: CRAN Package 'RenvModule' (Interface to Allow Full Use of the Environment Modules Systemfor Unix)
 Provides environment modules functionality, which enables use of the
 Environment Modules system (<http://modules.sourceforge.net/>) from within
 the R environment. By default the user's login shell environment (ie. "bash
 -l") will be used to initialize the current session. The module function can
 also; load or unload specific software, list all the loaded software within
 the current session, and list all the applications available for loading
 from the module system. Lastly, the module function can remove all loaded
 software from the current session.

Package: r-cran-renz
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 970
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-renz_0.2.1-1.ca2004.1_all.deb
Size: 535976
MD5sum: 57017eb0c88cdfbc642d3868457801fa
SHA1: e572055b57ba48bdf1169bb6d2a21915da1f813b
SHA256: f1f1e82fa1c279e408440b33645957a4f4983f6c1ea2478a51ae951fb81efdf2
SHA512: 6ba3fcd143a5612bbd7cb48fcda8dd70333b2cb52a0396a30377c4e31beee7bf75cee7b12de8df2330b178693dbac874333e13175ffecd429a29c333a80a25d9
Homepage: https://cran.r-project.org/package=renz
Description: CRAN Package 'renz' (R-Enzymology)
 Contains utilities for the analysis of Michaelian kinetic data. Beside the
 classical linearization methods (Lineweaver-Burk, Eadie-Hofstee, Hanes-Woolf
 and Eisenthal-Cornish-Bowden), features include the ability to carry out
 weighted regression analysis that, in most cases, substantially improves the
 estimation of kinetic parameters (Aledo (2021) <doi:10.1002/bmb.21522>). To
 avoid data transformation and the potential biases introduced by them, the
 package also offers functions to directly fitting data to the
 Michaelis-Menten equation, either using ([S], v) or (time, [S]) data.
 Utilities to simulate substrate progress-curves (making use of the Lambert W
 function) are also provided. The package is accompanied of vignettes that
 aim to orientate the user in the choice of the most suitable method to
 estimate the kinetic parameter of an Michaelian enzyme.

Package: r-cran-repairdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1309
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-repairdata_0.1.0-1.ca2004.1_all.deb
Size: 1228240
MD5sum: ea1b371d21be45297a00ad30dd396100
SHA1: 04dda6924f5c5e162c8ef484b2b74dd5b814be11
SHA256: 8121a2e2e1a862edf971d5740b9a93e7953d4b16ec97d37e4a232a8160ba6b43
SHA512: b12cb058657cbfa84ce135e6181fe4c1e204379d6525e885621563e12e6e664600546374fe31f4f9aad47353b7e952be11c66fa31c4c5543fccbffe1fd5e0525
Homepage: https://cran.r-project.org/package=repairData
Description: CRAN Package 'repairData' (Open Repair Alliance Datasets 2021)
 The complete data set of open repair data, full compliant with the Open
 Repair Data Standards (ORDS).  It combines the datasets contributed by
 partner organizations of the Open Repair Alliance (ORA). Last updated:
 2021-02-22.  The package also contains via quests enriched datasets on
 batteries, printer, mobiles, and tablets.

Package: r-cran-repana
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-config, r-cran-dplyr, r-cran-magrittr, r-cran-lubridate, r-cran-rmarkdown, r-cran-processx, r-cran-readr, r-cran-rstudioapi, r-cran-pool, r-cran-openxlsx, r-cran-yaml, r-cran-digest
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rsqlite, r-cran-rpostgres, r-cran-duckdb, r-cran-pacman, r-cran-targets
Filename: pool/dists/focal/main/r-cran-repana_2.2.1-1.ca2004.1_all.deb
Size: 150100
MD5sum: acc00638c02717d2d90af53988b0f5a5
SHA1: 4bf607f3a42a4882e13a7f1fb07d4ab5aa803613
SHA256: 0c8da5b439fc0761e38d37c74d2406e687e10bc7ae62e77aafdb0846dbf5ff94
SHA512: 5bbeede09950ccaa00b0b96d415984e811424790effe6e8a7bc04355a3537f35f1e1906812dfd5ac27d464882138f47f835d3fd93ee1c324e3314be2e46f331e
Homepage: https://cran.r-project.org/package=repana
Description: CRAN Package 'repana' (Repeatable Analysis in R)
 Set of utilities to facilitate the reproduction of analysis in R.  It allow
 to make_structure(), clean_structure(), and run and log programs in a
 predefined order to allow secondary files, analysis and reports be
 constructed in an ordered and reproducible form.

Package: r-cran-repaymentplan
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-repaymentplan_0.1.0-1.ca2004.1_all.deb
Size: 18556
MD5sum: ca42876de582a100524dfaa631be097a
SHA1: 353e88e0583022c239ca2fe8c84e58d84b5ff603
SHA256: b74260812ca43d10dac0ba9d9059f3953e592ac15d2ed11280b2b0eb00ba32f4
SHA512: b4d090425a6f459f8777d82e834bed5cb9efdf6ad5a00db4ec53818b3754ef40982a32e6b1de823239e9ebddc259554e6dda0ea5590242a81c2bbd980d3660ab
Homepage: https://cran.r-project.org/package=RepaymentPlan
Description: CRAN Package 'RepaymentPlan' (Calculation of Mortgage Plan or Repayment Plan)
 The function RepaymentPlan() calculates repayment schedule for
 repayment/mortgage plans.

Package: r-cran-repeatedhighdim
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1523
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-alphahull, r-cran-circlize, r-bioc-complexheatmap, r-cran-ddalpha, r-cran-geometry, r-cran-ggplot2, r-cran-mass, r-cran-mvtnorm, r-cran-netmeta, r-cran-nlme, r-cran-patchwork, r-cran-progress, r-cran-rcolorbrewer, r-cran-rgl, r-cran-rlang, r-cran-scales, r-cran-seurat, r-cran-seuratobject
Suggests: r-cran-biocmanager, r-cran-invgamma, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-repeatedhighdim_2.4.0-1.ca2004.1_all.deb
Size: 1268272
MD5sum: ba1badcc32e16d260e033db40450d6e8
SHA1: 412e4922309904e157f7c6836fa80c3b1e2a5a77
SHA256: afb19970b07baae94ad39b6718004c4777d08f166ff89093042a493b72d9dd4c
SHA512: e559e3e35aa7eadc86b2eeab6c3d06dc9f88b1f31a6eb8cfc6f697c6bf7305285c7bbe5ac15d8fc91afe45b1860ad3b7b385d7d056bb30fd0210b33f7ce6ae22
Homepage: https://cran.r-project.org/package=RepeatedHighDim
Description: CRAN Package 'RepeatedHighDim' (Methods for High-Dimensional Repeated Measures Data)
 A toolkit for the analysis of high-dimensional repeated measurements,
 providing functions for outlier detection, differential expression analysis,
 gene-set tests, and binary random data generation.

Package: r-cran-repec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-repec_0.1.0-1.ca2004.1_all.deb
Size: 39704
MD5sum: 202010cc07b606bc4b068e57c9138fe7
SHA1: 5a77e65d4298df17b1b6c57ea02d9dfdb8e34816
SHA256: 0314365c71fc2425ad53b08ad4b2e9be0eaddbd3e224635480a18a88a04d353d
SHA512: 31fdf50033a1e783c9b2124519a026f49030435600883086ba6560b219c02c0c4586b48aa674f6753350ba625ff223997b98eedb1b79f3fcc1249b74778e1e8d
Homepage: https://cran.r-project.org/package=repec
Description: CRAN Package 'repec' (Access RePEc Data Through API)
 Utilities for accessing RePEc (Research Papers in Economics) through a
 RESTful API. You can request a code and get detailed information at the
 following page: <https://ideas.repec.org/api.html>.

Package: r-cran-repello
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-repello_1.0.1-1.ca2004.1_all.deb
Size: 46044
MD5sum: d76d8f45044b25292800e9742af91398
SHA1: 1cd8bbe2d762e4aba72a1f228050d87eb1217358
SHA256: 41aadb7f564d8a34bbad40f2ed9b13bcad1004a266f994c62c011ce230662ef5
SHA512: e8fb1b4017dc1868c2f7f959fa8ce337cbbb049f31560ac9955b9924832a992c57de3c494b3f863018ab63bb8aba2240f4da3bf174a5fbe157ab7eb396479b3b
Homepage: https://cran.r-project.org/package=repello
Description: CRAN Package 'repello' (Reports from Trello in R)
 Creates reports from Trello, a collaborative, project organization and
 list-making application. <https://trello.com/> Reports are created by
 comparing individual Trello board cards from two different points in time
 and documenting any changes made to the cards.

Package: r-cran-repertoir
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circlize, r-cran-igraph, r-cran-reshape2, r-cran-stringdist, r-cran-stringi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-repertoir_0.0.1-1.ca2004.1_all.deb
Size: 50648
MD5sum: 9525a95d00b66faec17a47cb1916e0e2
SHA1: ab446186879554d3be0f328e4c29e6e43de13336
SHA256: 0ab1d8a8fa9d09e4d78e188c95819e8f12e568244a94c07d6b2929282e879d11
SHA512: aaa71d48e7f9c4d4755c1566f1b6bb98c5bd2645aac5190389badc7fc725ce14a41224246e05569bdf47624adab2dfab132b696153ad9fe37e52c0cfc4b25a2d
Homepage: https://cran.r-project.org/package=RepertoiR
Description: CRAN Package 'RepertoiR' (Repertoire Graphical Visualization)
 Visualization platform for T cell receptor repertoire analysis output
 results. It includes comparison of sequence frequency among samples, network
 of similar sequences and convergent recombination source between species.
 Currently repertoire analysis is in early stage of development and requires
 new approaches for repertoire data examination and assessment as we intend
 to develop.  No publication is available yet (will be available in the near
 future), Efroni (2021) <https:>.

Package: r-cran-replacer
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-cardata, r-cran-testthat, r-cran-checkmate, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-replacer_1.0.2-1.ca2004.1_all.deb
Size: 75360
MD5sum: 19eddb8d1681a700b68a48837aa929b0
SHA1: 080463c09e60b348b52e12c6910d83526c8cc496
SHA256: 916e599b7c16ad138cce973e7a7e41cb38e867440abb8ba4bbb83a4274abf499
SHA512: 94a4f5a2e30db2892c88713bcc21c71d2b8f6a7c445708189addfa504d1ea2c00ab13823d9c7583dbffecafd0f1987b3d6a424d8408d50e025587ba7043ba3df
Homepage: https://cran.r-project.org/package=replacer
Description: CRAN Package 'replacer' (A Value Replacement Utility)
 Updates values within csv format data files using a custom, User-built csv
 format lookup file. Based on 'data.table' package.

Package: r-cran-replesentr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-modules, r-cran-dat, r-cran-knitr
Suggests: r-cran-testthat, r-cran-covr, r-cran-txtplot
Filename: pool/dists/focal/main/r-cran-replesentr_0.4.1-1.ca2004.1_all.deb
Size: 34716
MD5sum: 7d0d4c8702b8705ea1f47aaca9e9c980
SHA1: dd3fe8c054302c1d057f3803b5ada004e01bb922
SHA256: 720ae6c3c867b316f34c350c6bf0340648b786a4440592e5143f146b5c4d30e8
SHA512: f86b70d59f003a043b9397cd18a7eb286dc9c0a5a16032365ec5afe233266ca2695222d51f9a1798b2e856d891ece1efc11c7c7bc3eed2c5b9d03ff3ff638708
Homepage: https://cran.r-project.org/package=REPLesentR
Description: CRAN Package 'REPLesentR' (Presentations in the REPL)
 Create presentations and display them inside the R 'REPL' (Read-Eval-Print
 loop), aka the R console. Presentations can be written in 'RMarkdown' or any
 other text format. A set of convenient navigation options as well as code
 evaluation during a presentation is provided. It is great for tech talks
 with live coding examples and tutorials. While this is not a replacement for
 standard presentation formats, it's old-school looks might just be what sets
 it apart. This project has been inspired by the 'REPLesent' project for
 presentations in the 'Scala' 'REPL'.

Package: r-cran-replicate
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-replicate_1.2.0-1.ca2004.1_all.deb
Size: 35952
MD5sum: 29744b81d6975d7ad34710dac31992c7
SHA1: 69d3b066ff4110724e89f64627a1c6afa516e814
SHA256: 8130c378cafa217241e982c42c1b2510708d71aa103d8c301856c101e4696f03
SHA512: 1dff76fbffd2848b2d968de9b65262b252d5bcd55871465d312973434897c19241f89868bf43240cb35d9faa4d7a994aad28c21fabc75b5ec8908218e65e04b0
Homepage: https://cran.r-project.org/package=Replicate
Description: CRAN Package 'Replicate' (Statistical Metrics for Multisite Replication Studies)
 For a multisite replication project, computes the consistency metric P_orig,
 which is the probability that the original study would observe an estimated
 effect size as extreme or more extreme than it actually did, if in fact the
 original study were statistically consistent with the replications. Other
 recommended metrics are: (1) the probability of a true effect of
 scientifically meaningful size in the same direction as the estimate the
 original study; and (2) the probability of a true effect of meaningful size
 in the direction opposite the original study's estimate. These two can be
 computed using the package \code{MetaUtility::prop_stronger}.  Additionally
 computes older metrics used in replication projects (namely expected
 agreement in "statistical significance" between an original study and
 replication studies as well as prediction intervals for the replication
 estimates). See Mathur and VanderWeele (under review;
 <https://osf.io/apnjk/>) for details.

Package: r-cran-replicatebe
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 819
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-powertost, r-cran-lmertest, r-cran-nlme, r-cran-pbkrtest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-replicatebe_1.1.3-1.ca2004.1_all.deb
Size: 452592
MD5sum: 150480f6a988ae15df4e2c523a7645c3
SHA1: 94ed9052356795c25b132ee669e1cbb5e47f203c
SHA256: f21d53ec39ec39aa9643ca96965a967fb036b8c859f31289ea5295e4e7076c70
SHA512: d87fb0f1980963d056e148836a1bee7b750a7f87fad42b2c140c8d5ad6a74ff4fce7bd4eec2269d46af9c299f221a7b1de34d00dbfd2d676b28041abf0b6cbd2
Homepage: https://cran.r-project.org/package=replicateBE
Description: CRAN Package 'replicateBE' (Average Bioequivalence with Expanding Limits (ABEL))
 Performs comparative bioavailability calculations for Average Bioequivalence
 with Expanding Limits (ABEL). Implemented are 'Method A' / 'Method B' and
 the detection of outliers. If the design allows, assessment of the empiric
 Type I Error and iteratively adjusting alpha to control the consumer risk.
 Average Bioequivalence - optionally with a tighter (narrow therapeutic index
 drugs) or wider acceptance range (South Africa: Cmax) - is implemented as
 well.

Package: r-cran-replicatedpp2w
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.utils
Filename: pool/dists/focal/main/r-cran-replicatedpp2w_0.1-6-1.ca2004.1_all.deb
Size: 94252
MD5sum: 8d7a9a81259ce8c8f20a053776b3667c
SHA1: aee6e404802e0a72d6f2471205351e1559628d1a
SHA256: 625908e32c64a6158f9cd179a9bc5bcab462b45550d4e6fe9e30dcbe5111f507
SHA512: 1f05650cf5ddcc52b5945f20538c34fe7301c8c427642e6dd8689dd246363fdbb794752d2a6b8fd335e41e0d1f6069285ebfd0324e1de435742c707edc2e00f1
Homepage: https://cran.r-project.org/package=replicatedpp2w
Description: CRAN Package 'replicatedpp2w' (Two-Way ANOVA-Like Method to Analyze Replicated Point Patterns)
 Test for effects of both individual factors and their interaction on
 replicated spatial patterns in a two factorial design, as explained in Ramon
 et al. (2016) <doi:10.1111/ecog.01848>.

Package: r-cran-replication
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-blavaan, r-cran-mice, r-cran-quadprog, r-cran-mass, r-cran-runjags, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-replication_0.1.2-1.ca2004.1_all.deb
Size: 95744
MD5sum: 2fca183dd86d47e6c54fde6b42f84c37
SHA1: 692f8c3f962f5ab9aaf204f887de965831402e85
SHA256: 853d53d931194a35bb08cb5446d0e8dfc8b8fffde3d035c8182a90b1e20b0d6a
SHA512: 15a23aa40e3d219dd4bbb0ad810367f23ad19259785497a1211c42f48186cc85cd98182c5b09edb8505a643b313c3c0d8e056748d33831c716da8f21e797160b
Homepage: https://cran.r-project.org/package=Replication
Description: CRAN Package 'Replication' (Test Replications by Means of the Prior Predictive p-Value)
 Allows for the computation of a prior predictive p-value to test replication
 of relevant features of original studies. Relevant features are captured in
 informative hypotheses. The package also allows for the computation of
 power. The statistical underpinnings are described in Zondervan-Zwijnenburg
 (2019) <doi:10.31234/osf.io/uvh5s>.

Package: r-cran-replicationinterval
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mbess, r-cran-mass, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-replicationinterval_2.0.1-1.ca2004.1_all.deb
Size: 60872
MD5sum: 2f03f9ae04b8340a28dc38a96e7e78dc
SHA1: 8d89d3cbc9790e3cb1dc55fbaba5e408c1625b15
SHA256: 4d7d1e7fed749ecd24576a5d673920413a05352c29b877db99f1d3e639c3ef6b
SHA512: 9331b5ceecf8761396a20ba86e8b7dd63b9f070e40a8f4d97008b3c8e6b2c379fd261df3f9e92a9a3af5d5dedf4fb578b26a87bbc204f2e0d79388c51fbe0656
Homepage: https://cran.r-project.org/package=replicationInterval
Description: CRAN Package 'replicationInterval' (Replication Interval Functions)
 A common problem faced by journal reviewers and authors is the question of
 whether the results of a replication study are consistent with the original
 published study. One solution to this problem is to examine the effect size
 from the original study and generate the range of effect sizes that could
 reasonably be obtained (due to random sampling) in a replication attempt
 (i.e., calculate a replication interval). If a replication effect size falls
 outside the replication interval, then that effect likely did not occur due
 to the effects of sampling error alone. Alternatively, if a replication
 effect size falls within the replication interval, then the replication
 effect could have reasonably occurred due to the effects of sampling error
 alone. This package has functions that calculate the replication interval
 for the correlation (i.e., r), standardized mean difference (i.e., d-value),
 and mean.  The calculations used in version 2.0.0 and onward differ from
 past calculations due to feedback during the journal review process. The new
 calculations allow for a more precise interpretation of the replication
 interval.

Package: r-cran-replicationsuccess
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-replicationsuccess_1.3.3-1.ca2004.1_all.deb
Size: 509292
MD5sum: 76b59e24956b0abdba39066f0ba2e0bd
SHA1: 1634ace491e646905ec6c955a6ec1d8330420459
SHA256: 240f7ae51c4ac8a3c6030b3b526e1f4d6c7bb670010c23532c3920ba7c8d5771
SHA512: dbf21b277b3876773bace2369bdc0a1c94ac0a9524edc32da6f5e2893f06af5de6d357cc2533ab9ed25f76500ecabd5a47a3442aafed7cb51ff7675e09b30f2d
Homepage: https://cran.r-project.org/package=ReplicationSuccess
Description: CRAN Package 'ReplicationSuccess' (Design and Analysis of Replication Studies)
 Provides utilities for the design and analysis of replication studies.
 Features both traditional methods based on statistical significance and more
 recent methods such as the sceptical p-value; Held L. (2020)
 <doi:10.1111/rssa.12493>, Held et al. (2022) <doi:10.1214/21-AOAS1502>,
 Micheloud et al. (2023) <doi:10.1111/stan.12312>.  Also provides related
 methods including the harmonic mean chi-squared test; Held, L. (2020)
 <doi:10.1111/rssc.12410>, and intrinsic credibility; Held, L. (2019)
 <doi:10.1098/rsos.181534>. Contains datasets from five large-scale
 replication projects.

Package: r-cran-repliscope
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1447
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-shiny, r-cran-colourpicker
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-repliscope_1.1.1-1.ca2004.1_all.deb
Size: 905932
MD5sum: 4f91cddda831c471270a4d750305483c
SHA1: 0afb2c508c7a99de026725bb59fac3776b626f7c
SHA256: 88f2b71b0365408cc6c3e50cddcf2d0d0f783a5a92204a785548bce9802ad399
SHA512: b56e8fe1b9c0b247f22529c2c2723120b5f6b068d045201fff00f636467e886670c9d3f25ec78ee7d9b3757917f54b45123426433cebf0f852ed6dc40972c4cc
Homepage: https://cran.r-project.org/package=Repliscope
Description: CRAN Package 'Repliscope' (Replication Timing Profiling using DNA Copy Number)
 Create, Plot and Compare Replication Timing Profiles. The method is
 described in Muller et al., (2014) <doi: 10.1093/nar/gkt878>.

Package: r-cran-repmis
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-digest, r-cran-httr, r-cran-plyr, r-cran-r.cache
Suggests: r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-repmis_0.5-1.ca2004.1_all.deb
Size: 51352
MD5sum: 605228231b9f9a2fd93abc76c0dce8da
SHA1: 45c5c047b7e5977f917b94d83f538904d150a317
SHA256: ff4888da5f0406a028e9067a5582ade2056c60992dc9c064570d235b8a8c57c9
SHA512: 7aef60a8b50607a2e62129e76b3b06a72ba0ef08de06ac855312d0eea27bbf89cdbdecea6ea66344a45147de63bf6b473248fc21abda78e51756574faa1eadf2
Homepage: https://cran.r-project.org/package=repmis
Description: CRAN Package 'repmis' (Miscellaneous Tools for Reproducible Research)
 Tools to load 'R' packages and automatically generate BibTeX files citing
 them as well as load and cache plain-text and 'Excel' formatted data stored
 on 'GitHub', and from other sources.

Package: r-cran-repmod
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-flextable, r-cran-lme4, r-cran-lmertest, r-cran-officer, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-repmod_0.1.7-1.ca2004.1_all.deb
Size: 122532
MD5sum: 853194d37bb53ec8c2d16c05b8a4567d
SHA1: b982a759f8dfbcd757b4e62938632a4d5e88ba5e
SHA256: c4e1dd45e442d7a37014996742c95ed268236ef958d2f9b761c64628beee5f0f
SHA512: 267288f6df00193ef580cf36ce302dc801fbeaaba7f5c39399f72bb15804cd7848496f1dec489a3f3daf27ff90420e720808a7bacbda90fcc296fd3adffe2e49
Homepage: https://cran.r-project.org/package=repmod
Description: CRAN Package 'repmod' (Create Report Table from Different Objects)
 Tools for generating descriptives and report tables for different models,
 data.frames and tables and exporting them to different formats.

Package: r-cran-repo
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Suggests: r-cran-igraph, r-cran-knitr, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-repo_2.1.5-1.ca2004.1_all.deb
Size: 345524
MD5sum: 16cb2597c52d0fb805e7080472bbf7c3
SHA1: 4db399ee037d61e983c4fe0c563c9a2bedd4bd05
SHA256: 3770c9a4b12e9974762f214b0f08f38590265793e26d1dff4224effc3ad04063
SHA512: e158ddcd405f4c9e77e0a318676ca5bb58ee5866452723d5cefa60e6f0b6e7b4fc6f68180cc7c48dd8f4ee475724fa9ea4c03709219c41c51ece111b095cbd50
Homepage: https://cran.r-project.org/package=repo
Description: CRAN Package 'repo' (A Data-Centered Data Flow Manager)
 A data manager meant to avoid manual storage/retrieval of data to/from the
 file system. It builds one (or more) centralized repository where R objects
 are stored with rich annotations, including corresponding code chunks, and
 easily searched and retrieved. See Napolitano (2017) <doi:10.1037/a0028240>
 for further information.

Package: r-cran-repogenerator
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstudioapi, r-cran-git2r, r-cran-rmarkdown, r-cran-httr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-repogenerator_0.0.1-1.ca2004.1_all.deb
Size: 27512
MD5sum: f9473838218776d675ed058b63a099c5
SHA1: 1236901d36177ea20c3fb414fad6db7202b0b663
SHA256: dd951e5de756c1471bd876ae5b7e78dd8ef4fc4e37f118590a274c49358179b2
SHA512: 3d7778616a57df3001cac26db7e8fd020e36465a3d1eac6a14e5280a0e008fb9036949f20eb0c685da9aa5445e5478f60608cc9deea2950eb7334fd235fc4a7a
Homepage: https://cran.r-project.org/package=RepoGenerator
Description: CRAN Package 'RepoGenerator' (Generates a Project and Repo for Easy Initialization of aWorkshop)
 Generates a project and repo for easy initialization of a GitHub repo for R
 workshops. The repo includes a README with instructions to ensure that all
 users have the needed packages, an 'RStudio' project with the right
 directories and the proper data. The repo can then be used for hosting code
 taught during the workshop.

Package: r-cran-report
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-effectsize, r-cran-insight, r-cran-parameters, r-cran-performance, r-cran-datawizard
Suggests: r-cran-bayesfactor, r-cran-brms, r-cran-collapse, r-cran-ivreg, r-cran-knitr, r-cran-lavaan, r-cran-lme4, r-cran-dplyr, r-cran-formula, r-cran-rmarkdown, r-cran-rstanarm, r-cran-survival, r-cran-modelbased, r-cran-emmeans, r-cran-marginaleffects, r-cran-rcppeigen, r-cran-bh, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-report_0.6.1-1.ca2004.1_all.deb
Size: 757080
MD5sum: ba6625db88aaa5a9891b6b25a9079b4d
SHA1: 08b5d6f0fa0eb998e819061124a4b857280fa3e3
SHA256: 5d3b44071a44c6492cf969637401f59770b7b3fbfd6592b2c0d48f3803ea2141
SHA512: 30ad8f2823feaeefc287d81f861d656d60266fa58bef5cace1d4df3a704a04e1c3249a4a08bcf9747ea057943c8781f63849f8b2ced0fed14a91be52a810ee31
Homepage: https://cran.r-project.org/package=report
Description: CRAN Package 'report' (Automated Reporting of Results and Statistical Models)
 The aim of the 'report' package is to bridge the gap between R’s output and
 the formatted results contained in your manuscript.  This package converts
 statistical models and data frames into textual reports suited for
 publication, ensuring standardization and quality in results reporting.

Package: r-cran-reporter.nih
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-crayon, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-devtools, r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-tinytex, r-cran-rmarkdown, r-cran-scales, r-cran-tufte, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-reporter.nih_0.1.4-1.ca2004.1_all.deb
Size: 449612
MD5sum: 88e186d190f0e87ad647638433429ed1
SHA1: 0dd3bdb61afa7e29cd648b46ae07858652e14a2f
SHA256: 40fd30c8f64ba38006b7831f0bf45b62c62e3b9a1cc2a26bebab919b0bac6211
SHA512: a389dad349c6015954e112ee3286f9909b9e0c3d985a5e96251d0ba04e73ad5b84946ddf342c887cd1573afe62de5a39882c6e17dcfe3332863ab60e71665827
Homepage: https://cran.r-project.org/package=repoRter.nih
Description: CRAN Package 'repoRter.nih' (R Interface to the 'NIH RePORTER Project' API)
 Methods to easily build requests in the non-standard JSON schema required by
 the National Institute of Health (NIH)'s 'RePORTER Project API'
 <https://api.reporter.nih.gov/#/Search/post_v2_projects_search>.  Also
 retrieve and process result sets as either a ragged or flattened 'tibble'.

Package: r-cran-reporter
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3892
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-common, r-cran-fmtr, r-cran-stringi, r-cran-crayon, r-cran-jpeg, r-cran-zip, r-cran-withr, r-cran-glue
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gridextra, r-cran-survminer, r-cran-logr, r-cran-covr, r-cran-libr, r-cran-devemf, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-reporter_1.4.4-1.ca2004.1_all.deb
Size: 1887056
MD5sum: 51b639033b022dde17c9af490031abc1
SHA1: 9f0e53decdb5f9ff2514652ffd65b51db370471a
SHA256: 3b0d5e23e4056a076dba6d05e688922b8747efff0ee5d495566d26fdae70bb47
SHA512: 45e8ee51df2106d02eea4dc662ce66b16968ddbf7ac322d352c3792322b0e6f0fd0762a62be6a90ac1132037163d5f1f291c21474eec7ee9de4ccd0925084f85
Homepage: https://cran.r-project.org/package=reporter
Description: CRAN Package 'reporter' (Creates Statistical Reports)
 Contains functions to create regulatory-style statistical reports.
 Originally designed to create tables, listings, and figures for the
 pharmaceutical, biotechnology, and medical device industries, these reports
 are generalized enough that they could be used in any industry.  Generates
 text, rich-text, PDF, HTML, and Microsoft Word file formats.  The package
 specializes in printing wide and long tables with automatic page wrapping
 and splitting.  Reports can be produced with a minimum of function calls,
 and without relying on other table packages.  The package supports titles,
 footnotes, page header, page footers, spanning headers, page by variables,
 and automatic page numbering.

Package: r-cran-reporterscore
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3732
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-pcutils, r-cran-scales, r-cran-ggnewscale, r-cran-ggrepel, r-cran-reshape2, r-cran-stringr, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plyr, r-cran-e1071, r-cran-factoextra, r-cran-snow, r-cran-dosnow, r-cran-pheatmap, r-cran-readr, r-cran-r.utils, r-bioc-keggrest, r-bioc-clusterprofiler, r-bioc-enrichplot, r-bioc-pathview, r-cran-gsa, r-cran-vegan, r-cran-metanet, r-cran-igraph, r-cran-ggraph, r-bioc-padog, r-bioc-safe, r-cran-rsea, r-bioc-gsva
Filename: pool/dists/focal/main/r-cran-reporterscore_0.1.9-1.ca2004.1_all.deb
Size: 3691920
MD5sum: ef4c73f8595d7afa6a3c3cab32951d8c
SHA1: b049506e9ef68468875779e3e8c2b9e604b1a302
SHA256: 22d4f60a259967e3732957a0170adec94a34229831a3401b15275de90317e08f
SHA512: 352c4daa59d7d62bc75625eb9d0b4e2586c024533bbf27aadc165daa27fe44b8b48bc5ee9df87613ae929dcdc4142d2d59c28756718afc94db10a2911a4eddd7
Homepage: https://cran.r-project.org/package=ReporterScore
Description: CRAN Package 'ReporterScore' (Generalized Reporter Score-Based Enrichment Analysis for OmicsData)
 Inspired by the classic 'RSA', we developed the improved 'Generalized
 Reporter Score-based Analysis (GRSA)' method, implemented in the R package
 'ReporterScore', along with comprehensive visualization methods and pathway
 databases. 'GRSA' is a threshold-free method that works well with all types
 of biomedical features, such as genes, chemical compounds, and microbial
 species. Importantly, the 'GRSA' supports multi-group and longitudinal
 experimental designs, because of the included multi-group-compatible
 statistical methods.

Package: r-cran-reportfactory
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rprojroot, r-cran-fs, r-cran-rmarkdown, r-cran-yaml, r-cran-callr, r-cran-rstudioapi, r-cran-knitr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-reportfactory_0.4.0-1.ca2004.1_all.deb
Size: 51292
MD5sum: 82bbba44207e090228234155c3b8f43f
SHA1: ffac1f6a5a28a9e7ece6b8f5cd916cac118dc3a9
SHA256: e24bd8563ce708ddd26be6046d03bd4e3ad63b6ffe5c251631477d4b50493ca3
SHA512: 79d6bee3fb249eb33165565af91367d244d9bde10bc312e7f00b097f1f7d0c5b49f34ffbfc4e087fd7f1c266d4195b18c252a244b2fb764e22f7593a83167ce1
Homepage: https://cran.r-project.org/package=reportfactory
Description: CRAN Package 'reportfactory' (Lightweight Infrastructure for Handling Multiple R MarkdownDocuments)
 Provides an infrastructure for handling multiple R Markdown reports,
 including automated curation and time-stamping of outputs, parameterisation
 and provision of helper functions to manage dependencies.

Package: r-cran-reportr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ore
Suggests: r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-reportr_1.3.1-1.ca2004.1_all.deb
Size: 36328
MD5sum: f189e6d9d6d05c0f3d995645b2d46cc9
SHA1: 433d61f6908c4a3755657791e7b26bb065bb55f4
SHA256: 70a72c995183aec2c5cc2a24c1f1626775e1955cf05bb3cc29c9bfab4270a963
SHA512: 1a975607c8fbdc1c3c6c4e1d95553075bff6dca5ef28f638936c7beb036e24166f90f0982691e2db0646c54d9f52c13a67a58b7d71b6038403aaad0a0acfb9fd
Homepage: https://cran.r-project.org/package=reportr
Description: CRAN Package 'reportr' (A General Message and Error Reporting System)
 Provides a system for reporting messages, which provides certain useful
 features over the standard R system, such as the incorporation of output
 consolidation, message filtering, assertions, expression substitution,
 automatic generation of stack traces for debugging, and conditional
 reporting based on the current "output level".

Package: r-cran-reportreg
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-reportreg_0.3.0-1.ca2004.1_all.deb
Size: 16116
MD5sum: cec07afe898c47fe8b276e749a43e2d5
SHA1: 3d6058adf93cfeeb5f7e04ff65045fc7ac9282c3
SHA256: dafe22b8f3dad0254ab1739f95a4b24e460c5088ed461ca17f2e285a4200a8b1
SHA512: 0e1332f2f9a52113f605d1f24ad33211ceae2cb9608d1045b57c07fa1e92af06f8460e9a563eac46899b41d72880e102cf6ff6ac485eed6096fb94db9a10ebe9
Homepage: https://cran.r-project.org/package=reportReg
Description: CRAN Package 'reportReg' (An Easy Way to Report Regression Analysis)
 Provides an easy way to report the results of regression analysis,
 including: 1. Proportional hazards regression from function 'coxph' of
 package 'survival'; 2. Conditional logistic regression from function
 'clogit' of package 'survival'; 3. Ordered logistic regression from function
 'polr' of package 'MASS'; 4. Binary logistic regression from function 'glm'
 of package 'stats'; 5. Linear regression from function 'lm' of package
 'stats'; 6. Risk regression model for survival analysis with competing risks
 from function 'FGR' of package 'riskRegression'; 7. Multilevel model from
 function 'lme' of package 'nlme'.

Package: r-cran-reportrmd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2337
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aod, r-cran-boot, r-cran-cmprsk, r-cran-cowplot, r-cran-dplyr, r-cran-geepack, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-kableextra, r-cran-knitr, r-cran-lifecycle, r-cran-mass, r-cran-pander, r-cran-plyr, r-cran-rlang, r-cran-rstatix, r-cran-scales, r-cran-survival, r-cran-tidyselect
Suggests: r-cran-nlme, r-cran-tidycmprsk, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reportrmd_0.1.1-1.ca2004.1_all.deb
Size: 1624424
MD5sum: 259c0fa7db7ded41eb344cfacec7a2d7
SHA1: 53c3afaea0d886045deacfde7c21bbc96ac843af
SHA256: c587982089e8122c296fe935c8289229d678ab3e51f7d39c1caaf8941c82a92c
SHA512: 0e19a1be3beeef07a67a992c8cfe448ac8aeb94e71b46fa374c04aab656f0869bc377000b2576b5e33bf4d6f12e667d0575b36a4731d8b1112b07bfcf5b890c8
Homepage: https://cran.r-project.org/package=reportRmd
Description: CRAN Package 'reportRmd' (Tidy Presentation of Clinical Reporting)
 Streamlined statistical reporting in 'Rmarkdown' environments.  Facilitates
 the automated reporting of descriptive statistics, multiple univariate
 models, multivariable models and tables combining these outputs.  Plotting
 functions include customisable survival curves, forest plots from logistic
 and ordinal regression and bivariate comparison plots.

Package: r-cran-reportroc
Architecture: all
Version: 3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-proc, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-reportroc_3.6-1.ca2004.1_all.deb
Size: 29224
MD5sum: 2f97ba89188a8b2dd50cc6b5c3b854e7
SHA1: 4c52919e9fa828edd03ccddd8aa18be9d8320224
SHA256: 5925f9dc046174722f58947cb2e3944f2b57f0dca496ab71bf144a54d76f7517
SHA512: 3b6963b0b42d7cbc9e12e7d76a1daf16e0f0603e3457a0160034cf5cdb5a7573db62c8ca0829535992558383cd2f61604919a884e3478552539e2773906dd115
Homepage: https://cran.r-project.org/package=reportROC
Description: CRAN Package 'reportROC' (An Easy Way to Report ROC Analysis)
 Provides an easy way to report the results of ROC analysis, including: 1. an
 ROC curve.  2. the value of Cutoff, AUC (Area Under Curve), ACC (accuracy),
 SEN (sensitivity), SPE (specificity), PLR (positive likelihood ratio), NLR
 (negative likelihood ratio), PPV (positive predictive value), NPV (negative
 predictive value), PPA (percentage of positive accordance), NPA (percentage
 of negative accordance), TPA (percentage of total accordance), KAPPA (kappa
 value).

Package: r-cran-reportsubtotal
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyselect, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-reportsubtotal_0.1.2-1.ca2004.1_all.deb
Size: 33840
MD5sum: b62bfcdd7cab53b4fbfffb7303f64af6
SHA1: 25fbf2c48592841391f302e5ca95069cb78aef91
SHA256: fe10414826c32c05962711851a8a92804ed0f06c908746a3b5778111a323a033
SHA512: f7cf8e129c171b71735c935bd73cd1dda4bbef7b5b611fe477382d28c0332ebe95dfecf28c1b2465f826a7a00414daa061ec412b4ed60fe70630b89cbd38028d
Homepage: https://cran.r-project.org/package=ReportSubtotal
Description: CRAN Package 'ReportSubtotal' (Adds Subtotals to Data Reports)
 Adds subtotal rows / sections (a la the 'SAS' 'Proc Tabulate' All option) to
 a Group By output by running a series of Group By functions with partial
 sets of the same variables and combining the results with the original. Can
 be used to add comprehensive information to a data report or to quickly
 aggregate Group By outputs used to gain a greater understanding of data.

Package: r-cran-reporttools
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xtable
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-reporttools_1.1.4-1.ca2004.1_all.deb
Size: 261652
MD5sum: 483d87e3eb0890551769cea589d5afd5
SHA1: c0cb89749811da6ae133921838808b2eaaa3b17c
SHA256: de7a30401b29965141ffdd2125a7c85a372707f1f4097348894e69dfec217eac
SHA512: 4d8692ff468ae2f81ccbc8ea281a4b50a205b1df8b76446bf136396f802015c275d348cc7efd9ef70752f3da377f98ae694fbe7c01b95142fb13d1798ab406ca
Homepage: https://cran.r-project.org/package=reporttools
Description: CRAN Package 'reporttools' (Generate "LaTeX"" Tables of Descriptive Statistics)
 These functions are especially helpful when writing reports of data analysis
 using "Sweave".

Package: r-cran-repplab
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2034
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava, r-cran-lattice, r-cran-ldrtools
Suggests: r-cran-tourr, r-cran-amap
Filename: pool/dists/focal/main/r-cran-repplab_0.9.6-1.ca2004.1_all.deb
Size: 1230000
MD5sum: d7ba4cf24278888f3c98d00e7c8a2bcf
SHA1: 3550a28c1f910004442a7786ee441df4f0b87a03
SHA256: b7207925a735f8066f105c9d456148b64c65db4c6620b3cbf659ca59ca3673a1
SHA512: 62fcf23f462733e3d2a58a3d5efc69cf41f832035682dda6bbc3838182cecc10814a54a5330dd5fb5d6863eeb3201787f0d9a68bacd1b001781d80cd95b57756
Homepage: https://cran.r-project.org/package=REPPlab
Description: CRAN Package 'REPPlab' (R Interface to 'EPP-Lab', a Java Program for ExploratoryProjection Pursuit)
 An R Interface to 'EPP-lab' v1.0. 'EPP-lab' is a Java program for projection
 pursuit using genetic algorithms written by Alain Berro and S. Larabi
 Marie-Sainte and is included in the package.

Package: r-cran-repplabshiny
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-dt, r-cran-repplab
Filename: pool/dists/focal/main/r-cran-repplabshiny_0.4.2-1.ca2004.1_all.deb
Size: 22040
MD5sum: 66594f278615c4b65aac681b420a71e3
SHA1: f01b920876a8b7017b55b906cebaa5094e5bfad8
SHA256: 490f29b0e7ea0780679ac970a184d3c3e5d52ec7a8b2fc33dd08f67363c83a94
SHA512: 781dee89d9966c59e9ad38a71d5c3399b45742658c8844e73b8da5887b0d47e9c0983b08e306a16dd74646197065949e55cd2652a6ff5eb3e098653cffbe9e8f
Homepage: https://cran.r-project.org/package=REPPlabShiny
Description: CRAN Package 'REPPlabShiny' ('REPPlab' via a Shiny Application)
 Performs exploratory projection pursuit via 'REPPlab' (Daniel Fischer, Alain
 Berro, Klaus Nordhausen & Anne Ruiz-Gazen (2019)
 <doi:10.1080/03610918.2019.1626880>) using a Shiny app.

Package: r-cran-repr
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-pillar, r-cran-base64enc
Suggests: r-cran-highr, r-cran-cairo, r-cran-stringr, r-cran-testthat, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-repr_1.1.7-1.ca2004.1_all.deb
Size: 124284
MD5sum: 21ce1a5721541d6d2bd78cdb38bbda4f
SHA1: b21aa38f07652daffb6a47eecfabc65b60b8d998
SHA256: 7acbde45c3b3a50eb30498d707de29dca02b32e683d0387a61d14a0f7a0fe5c6
SHA512: 12b3438c48d0d80d87a6c6db395a5288c8a113ad57089069dcf1b38cd31af41159843ac7e626acf5148094e5b922dcf164dad367a7354b0224a9d9c89066191a
Homepage: https://cran.r-project.org/package=repr
Description: CRAN Package 'repr' (Serializable Representations)
 String and binary representations of objects for several formats / mime
 types.

Package: r-cran-represent
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-represent_1.0.1-1.ca2004.1_all.deb
Size: 47524
MD5sum: c60b152f560a23636db35d55142e703d
SHA1: cfc88fc66b67fe8f06b2d638999858853db7b9ed
SHA256: 5c3e8b7b941341233ac1720778f85622fa07b3b10335e27cf496488fd6eeae32
SHA512: 31130290372b3c4b142e01573b35c78fbe3b2108d44a55a531da45116fbdf16b4f730e97f6278328e9af43af4dda9f9aeaaff253b554b40d401d590016a795ad
Homepage: https://cran.r-project.org/package=represent
Description: CRAN Package 'represent' (Determine How Representative Two Multidimensional Data Sets are)
 Compute the values of various parameters evaluating how similar two
 multidimensional datasets' structures are in multidimensional space, as
 described in: Jouan-Rimbaud, D., Massart, D. L., Saby, C. A., Puel, C.
 (1998), <doi:10.1016/S0169-7439(98)00005-7>. The computed parameters
 evaluate three properties, namely, the direction of the data sets, the
 variance-covariance of the data points, and the location of the data sets'
 centroids. The package contains workhorse function jrparams(), as well as
 two helper functions Mboxtest() and JRsMahaldist(), and four example data
 sets.

Package: r-cran-represtools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-whisker
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-represtools_0.1.3-1.ca2004.1_all.deb
Size: 49460
MD5sum: e71944d4ce6f336487d5a2227425d1cd
SHA1: a7d0f78ba6a06838547d2e060fa4c9b973d03dd9
SHA256: 5080a96586e90d8a4109676ff5955d6db081a54eb303e430db1d82c43324b9d1
SHA512: 616e67f53dfb062c3a5f954d92e762ef1483d67df6d1eb03058a0c7a27e730e3e8a15ac5ba8bc3441879faa0980b4b96c1d7408e6472f54fa8c4973bb4201b7d
Homepage: https://cran.r-project.org/package=represtools
Description: CRAN Package 'represtools' (Reproducible Research Tools)
 Reproducible research tools automates the creation of an analysis directory
 structure and work flow. There are R markdown skeletons which encapsulate
 typical analytic work flow steps. Functions will create appropriate modules
 which may pass data from one step to another.

Package: r-cran-reprex
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 580
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-clipr, r-cran-fs, r-cran-glue, r-cran-knitr, r-cran-lifecycle, r-cran-rlang, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-withr
Suggests: r-cran-covr, r-cran-fortunes, r-cran-miniui, r-cran-rprojroot, r-cran-sessioninfo, r-cran-shiny, r-cran-spelling, r-cran-styler, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reprex_2.1.1-1.ca2004.1_all.deb
Size: 489952
MD5sum: 17e440340bbcc2d9a7774d7a1defd43c
SHA1: 54e228e617a9107f973e34474d4579f9801271ae
SHA256: fc7aed3cdcd061c734a04748aa5182e321a2de50aeaf457c921087031531e54a
SHA512: 001b69777ccfe9e2e90fb86472370a0d8079adf57457b346b17c5c31a8e68116b55cda2ee2b15081f548ccc438f4b79887a968fe7890c984b1dcbef6f277c41b
Homepage: https://cran.r-project.org/package=reprex
Description: CRAN Package 'reprex' (Prepare Reproducible Example Code via the Clipboard)
 Convenience wrapper that uses the 'rmarkdown' package to render small
 snippets of code to target formats that include both code and output.  The
 goal is to encourage the sharing of small, reproducible, and runnable
 examples on code-oriented websites, such as <https://stackoverflow.com> and
 <https://github.com>, or in email. The user's clipboard is the default
 source of input code and the default target for rendered output. 'reprex'
 also extracts clean, runnable R code from various common formats, such as
 copy/paste from an R session.

Package: r-cran-reproducer
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1660
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-getoptlong, r-cran-ggplot2, r-cran-gridextra, r-cran-httr, r-cran-jsonlite, r-cran-lme4, r-cran-mass, r-cran-metafor, r-cran-nortest, r-cran-openxlsx, r-cran-readr, r-cran-reshape, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xtable
Suggests: r-cran-assertthat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reproducer_0.5.3-1.ca2004.1_all.deb
Size: 1519716
MD5sum: 0640f7085c9fa963855a7b61cd948072
SHA1: 738bad19d5571ae16b3b0080a56c37ca88416f5a
SHA256: a1b813ea0badd805b613b38f22f74da8ab9e2969b168c828eb1b58e03ccb2dd9
SHA512: 0652e34c84f70841dc842406eb005035b85fbc2014a439938d6087a52ee9a2ba55996f07b10d0b94a340498645f592de29c6c84c7b92dcafd251d79a5eef635b
Homepage: https://cran.r-project.org/package=reproducer
Description: CRAN Package 'reproducer' (Reproduce Statistical Analyses and Meta-Analyses)
 Includes data analysis and meta-analysis functions (e.g., to calculate
 effect sizes and 95% Confidence Intervals (CI) on Standardised Effect Sizes
 (d) for AB/BA cross-over repeated-measures experimental designs), data
 presentation functions (e.g., density curve overlaid on histogram),and the
 data sets analyzed in different research papers in software engineering
 (e.g., related to software defect prediction or multi- site experiment
 concerning the extent to which structured abstracts were clearer and more
 complete than conventional abstracts) to streamline reproducible research in
 software engineering.

Package: r-cran-reproducible
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-digest, r-cran-filelock, r-cran-fpcompare, r-cran-fs, r-cran-lobstr
Suggests: r-cran-archive, r-cran-covr, r-cran-curl, r-cran-dbi, r-cran-future, r-cran-geodata, r-cran-glue, r-cran-googledrive, r-cran-httr, r-cran-httr2, r-cran-knitr, r-cran-qs, r-cran-raster, r-cran-rcurl, r-cran-rlang, r-cran-rmarkdown, r-cran-rsqlite, r-cran-r.utils, r-cran-sf, r-cran-sp, r-cran-terra, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-reproducible_2.1.2-1.ca2004.1_all.deb
Size: 1027200
MD5sum: c88f18bd6421dce303670289a8df259b
SHA1: 99450d890831a3b05507ea3d07ca7fa294d29179
SHA256: b4dfc99be2e5366ffebd8dc87d0358b438b08e884082eef40e9cabf0f8a35795
SHA512: 3f461308f45b9f23160d5ba8e3001f841210cedf089769691104a8903013509a9efb835674c15b2d8a40b97c069384b6cf85ed702219c7e8ce79d21151e3a7fa
Homepage: https://cran.r-project.org/package=reproducible
Description: CRAN Package 'reproducible' (Enhance Reproducibility of R Code)
 A collection of high-level, machine- and OS-independent tools for making
 reproducible and reusable content in R.  The two workhorse functions are
 Cache() and prepInputs(). Cache() allows for nested caching, is robust to
 environments and objects with environments (like functions), and deals with
 some classes of file-backed R objects e.g., from terra and raster packages.
 Both functions have been developed to be foundational components of data
 retrieval and processing in continuous workflow situations. In both
 functions, efforts are made to make the first and subsequent calls of
 functions have the same result, but faster at subsequent times by way of
 checksums and digesting. Several features are still under development,
 including cloud storage of cached objects allowing for sharing between
 users. Several advanced options are available, see ?reproducibleOptions().

Package: r-cran-reproduciblerchunks
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-knitr, r-cran-digest, r-cran-rstudioapi, r-cran-rmarkdown
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reproduciblerchunks_1.0.3-1.ca2004.1_all.deb
Size: 735788
MD5sum: 9d1ada8c527f46c0fea26229c8a126f1
SHA1: 518dddeef27d7f80a8897f7fff7b81c1d679d1d4
SHA256: 100d72968bce2cb8f37c7551153cdb62634b3560c71da458add839410fc58674
SHA512: becda82ce2a6a48883a80ec33acecbbba574d0e38f85dd5126bf2ce869f7cae4ede85fcef87d3ee929826958050aecf3f63230599caa912b17ecdfe0e39a3a23
Homepage: https://cran.r-project.org/package=reproducibleRchunks
Description: CRAN Package 'reproducibleRchunks' (Automated Reproducibility Checks for R Markdown Documents)
 Provide reproducible R chunks in R Markdown document that automatically
 check computational results for reproducibility. This is achieved by
 creating json files storing metadata about computational results. A
 comprehensive tutorial to the package is available as preprint by Brandmaier
 & Peikert (2024, <doi:10.31234/osf.io/3zjvf>).

Package: r-cran-reproj
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-proj4, r-cran-crsmeta, r-cran-proj
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-reproj_0.7.0-1.ca2004.1_all.deb
Size: 265548
MD5sum: 61f4ed401240be5edcc31bb9c5ec65c2
SHA1: 8b78620a016e30008297602acef79fd6c29e7983
SHA256: 3d9dec88f67174bceb86c55123270a4dd4e3035dde071ca6496f8748425dd496
SHA512: 503457fc3a0a1f3c21782b375558818750d3e31b2ff9c027dd4f6d3d980ffb4369893b8c2780382da28872aa936e83ae4ebc3edb14faecb8f40593caa1692e89
Homepage: https://cran.r-project.org/package=reproj
Description: CRAN Package 'reproj' (Coordinate System Transformations for Generic Map Data)
 Transform coordinates from a specified source to a specified target map
 projection. This uses the 'PROJ' library directly, by wrapping the 'PROJ'
 package which leverages 'libproj', otherwise the 'proj4' package. The
 'reproj()' function is generic, methods may be added to remove the need for
 an explicit source definition. If 'proj4' is in use 'reproj()' handles the
 requirement for conversion of angular units where necessary. This is for use
 primarily to transform generic data formats and direct leverage of the
 underlying 'PROJ' library. (There are transformations that aren't possible
 with 'PROJ' and that are provided by the 'GDAL' library, a limitation which
 users of this package should be aware of.) The 'PROJ' library is available
 at <https://proj.org/>.

Package: r-cran-repsd
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-progress
Suggests: r-cran-colordf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-repsd_1.0.1-1.ca2004.1_all.deb
Size: 50592
MD5sum: 04a0b76c9e82e405fc1e735d5727159a
SHA1: 5192f14f1ed4c8f6e4599aa1ecdeeb9f58c43b14
SHA256: 878489e45fdfb06597fc1c6f2eb9331d431fbca947eab3eb4893d6e6806324dd
SHA512: 1c6cf3045f3614c013b3b38dad160bc4a225ddfdecf0d4d2a7db57be1ce8610b6e5c43941ff3f4f4fd31ef9c8338ad9cb5156a85ea62100374dc45edc887c720
Homepage: https://cran.r-project.org/package=repsd
Description: CRAN Package 'repsd' (Root Expected Proportion Squared Difference for Detecting DIF)
 Root Expected Proportion Squared Difference (REPSD) is a nonparametric
 differential item functioning (DIF) method that (a) allows practitioners to
 explore for DIF related to small, fine-grained focal groups of examinees,
 and (b) compares the focal group directly to the composite group that will
 be used to develop the reported test score scale. Using your provided
 response matrix with a column that identifies focal group membership, this
 package provides the REPSD values, a simulated null distribution of possible
 REPSD values, and the simulated p-values identifying items possibly
 displaying DIF without requiring enormous sample sizes.

Package: r-cran-reptile
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 930
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-optparse, r-cran-randomforest, r-cran-flux
Filename: pool/dists/focal/main/r-cran-reptile_1.0-1.ca2004.1_all.deb
Size: 919780
MD5sum: cc9f23a8821d2510e9da3b89773924a5
SHA1: 31acc38029dfb5a60932d105832864282cde64cd
SHA256: 6ca9241ab795c7a5765a84cd6c4cc40e4697e6b479892fcdf2e70c40fee88c83
SHA512: a9e20469d37733a7b63a82f9408c8d7e6e50fbbc46fd378f046bf7663b8535b3b5e09e4de1e5291c99f730cace19c9d6834fce1a736e77192c8e6198fd0d8eef
Homepage: https://cran.r-project.org/package=REPTILE
Description: CRAN Package 'REPTILE' (Regulatory DNA Element Prediction)
 Predicting regulatory DNA elements based on epigenomic signatures. This
 package is more of a set of building blocks than a direct solution. REPTILE
 regulatory prediction pipeline is built on this R package. See
 <https://github.com/yupenghe/REPTILE> for more information.

Package: r-cran-repurrrsive
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2771
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tibble
Suggests: r-cran-jsonlite, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-repurrrsive_1.1.0-1.ca2004.1_all.deb
Size: 385768
MD5sum: bde6273b2a234dca39272918f844e00d
SHA1: e7850f91128e5923fa83a1607daded95e813b24e
SHA256: 793d23d3fed141e6bc2378243922226d0ae136c14ff75dfc3f95705f3d7bf56f
SHA512: c3e10eef950a473d3a08ac242db5f7deb75012befb52eed6da6d9f7c0b76141c7d9c8a064839be75ab93d6880588485037e6df83054ca43b9dcd49c34eec9fd3
Homepage: https://cran.r-project.org/package=repurrrsive
Description: CRAN Package 'repurrrsive' (Examples of Recursive Lists and Nested or Split Data Frames)
 Recursive lists in the form of R objects, 'JSON', and 'XML', for use in
 teaching and examples. Examples include color palettes, Game of Thrones
 characters, 'GitHub' users and repositories, music collections, and entities
 from the Star Wars universe. Data from the 'gapminder' package is also
 included, as a simple data frame and in nested and split forms.

Package: r-cran-reqres
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-assertthat, r-cran-stringi, r-cran-urltools, r-cran-brotli, r-cran-jsonlite, r-cran-xml2, r-cran-webutils
Suggests: r-cran-fiery, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-reqres_0.2.5-1.ca2004.1_all.deb
Size: 221952
MD5sum: b6f7d3167c5347f790419e23a1a75eb2
SHA1: ad79bd49d3f1f8019f837df08bc943c9398450f2
SHA256: 186ad5f8b8d1ab0ecdf5bf9c929df69b7057bbee4b47b4b8292dd2fe54acc994
SHA512: db17b7d3173154bb71c08335c025f189568cc213505a11c10aa5d857b276192fb00afe3884a14b3b1f4e2563f19bf0cd546f9a882d658311325d7fbd03925447
Homepage: https://cran.r-project.org/package=reqres
Description: CRAN Package 'reqres' (Powerful Classes for HTTP Requests and Responses)
 In order to facilitate parsing of http requests and creating appropriate
 responses this package provides two classes to handle a lot of the
 housekeeping involved in working with http exchanges. The infrastructure
 builds upon the 'rook' specification and is thus well suited to be combined
 with 'httpuv' based web servers.

Package: r-cran-reqs
Architecture: all
Version: 0.8-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-reqs_0.8-13-1.ca2004.1_all.deb
Size: 39892
MD5sum: bcac19440a6d9920e495e1b50a70f7d2
SHA1: 6d924d8399f5286a050d8261f66aa7e18d3142bb
SHA256: 8c8c3049ab52d4d25965500343781a98f4c8adf06cd05519e219daacf4ec8649
SHA512: da366be0a97533d8cd456018eaab5b3a98cdb311606acdd26f08ed128243f74d136949e5a0d8799c59a72efe67ef6e0cf939f3fb0f241d1dab0356d5ef56d5ea
Homepage: https://cran.r-project.org/package=REQS
Description: CRAN Package 'REQS' (R/EQS Interface)
 Contains the function run.eqs() which calls an EQS script file, executes the
 EQS estimation, and, finally, imports the results as R objects. These two
 steps can be performed separately: call.eqs() calls and executes EQS,
 whereas read.eqs() imports existing EQS outputs as objects into R. It
 requires EQS 6.2 (build 98 or higher).

Package: r-cran-request
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-curl, r-cran-jsonlite, r-cran-magrittr, r-cran-lazyeval, r-cran-whisker
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-request_0.1.0-1.ca2004.1_all.deb
Size: 112792
MD5sum: b9e56023a9936a926d4d95ac868938ea
SHA1: e69270252b604bffefcb567d2ad9a0747e1bbe74
SHA256: 9f2a800390bdefc675bccba62a6b0682b4c9904f947ec658f772e29a50acd8cc
SHA512: b46ff6a965d81487b61030597292858ab666dc59ec2f2a662de04f615a4e56080fac7dc181b5c3d2450459f0b97e7dd844c27b31a2a1cb1306900f96cb95b337
Homepage: https://cran.r-project.org/package=request
Description: CRAN Package 'request' (High Level 'HTTP' Client)
 High level and easy 'HTTP' client for 'R'. Provides functions for building
 'HTTP' queries, including query parameters, body requests, headers,
 authentication, and more.

Package: r-cran-require
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 940
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-sys
Suggests: r-cran-covr, r-cran-curl, r-cran-diffobj, r-cran-fpcompare, r-cran-gitcreds, r-cran-httr, r-cran-pak, r-cran-rematch2, r-cran-rmarkdown, r-cran-knitr, r-cran-rlang, r-cran-roxygen2, r-cran-rprojroot, r-cran-testthat, r-cran-tibble, r-cran-waldo, r-cran-withr
Filename: pool/dists/focal/main/r-cran-require_1.0.1-1.ca2004.1_all.deb
Size: 751932
MD5sum: bd5518f5ca4a63c55061de9f5996b467
SHA1: c0d86d443aa5a654b5a2ef53c2e5bc33b5ee3322
SHA256: cd1857a0c3a506738c2191a5897199e82c0329d798ffe215b581ac148ffab845
SHA512: 9e4f4f3ea91e9497f850c1d59b3ad9fb36536d3c4ae099570012669f474b6a67ed0dd0e5c57c1e094d3155b259c7ce77e2edcdc5b08933c54e8a6271a65d4a6f
Homepage: https://cran.r-project.org/package=Require
Description: CRAN Package 'Require' (Installing and Loading R Packages for Reproducible Workflows)
 A single key function, 'Require' that makes rerun-tolerant versions of
 'install.packages' and `require` for CRAN packages, packages no longer on
 CRAN (i.e., archived), specific versions of packages, and GitHub packages.
 This approach is developed to create reproducible workflows that are
 flexible and fast enough to use while in development stages, while able to
 build snapshots once a stable package collection is found.  As with other
 functions in a reproducible workflow, this package emphasizes functions that
 return the same result whether it is the first or subsequent times running
 the function, with subsequent times being sufficiently fast that they can be
 run every time without undue waiting burden on the user or developer.

Package: r-cran-requirements
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-remotes
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-requirements_0.0.3-1.ca2004.1_all.deb
Size: 12380
MD5sum: 92398ffb56aeb2d0a500b595e3fb9f55
SHA1: 5ce27a365c8c9a660d9ba7e33ec544d1ef0807ae
SHA256: e85ab6ddc443ddd02048df453a82d9b76ea08f583294fe138a0fad49acef51f7
SHA512: f2b91a927d61d609f8d9a55840b576a4c4f12dcf3582f12872e87c20ffb2727dfcc5b3a157b66c75f9adb3f24597527a670fa142216ea78e98ff6aa937f6f293
Homepage: https://cran.r-project.org/package=requiRements
Description: CRAN Package 'requiRements' (Helper Package to Install Packages for R)
 Helper function to install packages for R using an external
 'requirements.txt' or a string containing diverse packages from several
 resources like Github or CRAN.

Package: r-cran-requirer
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-requirer_1.0.0.1-1.ca2004.1_all.deb
Size: 14292
MD5sum: fe111a14dc8cf78b344d58ea1fa87780
SHA1: 9158bb6610141ae257b976d383440158e2164ece
SHA256: e558c1b32dfb08805eb85399ebaa176b165775f622aa00e209bcbedeb3d8e9d1
SHA512: 5fea3f0ed90fbc987db68fcaced8312df00057a465e53a5dadbc664f63cacec48c06ec992ebbed8fde7485cb8669cb00fc7f0ea9656e5925b6d4f47402347629
Homepage: https://cran.r-project.org/package=requireR
Description: CRAN Package 'requireR' (R Source Code Modularizer)
 Modularizes source code. Keeps the global environment clean, explicifies
 interdependencies. Inspired by 'RequireJS'<http://requirejs.org/>.

Package: r-cran-rerandpower
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-runuran
Filename: pool/dists/focal/main/r-cran-rerandpower_0.0.1-1.ca2004.1_all.deb
Size: 30912
MD5sum: ad2903ce4e4c1c2e4597f8cf495ff3c2
SHA1: d3d83d35778e2e1b9f3529b2c833bded522b54a4
SHA256: 29bdc790c32a9a97c20afc001d79864a78d945912ac1df193e0be87aed810ce1
SHA512: c3273cb43dabaf20e507979302678d48544ed13aabda0ae4c56cae3adddab4de37c800f66580ee301c6b87354a477c272b65e67c44e3e54b4a2b28a093bcfbb4
Homepage: https://cran.r-project.org/package=rerandPower
Description: CRAN Package 'rerandPower' (Power and Sample Size Calculations for Completely Randomized andRerandomized Experiments)
 Computes the power resulting from completely randomized and rerandomized
 experiments with two groups. Furthermore, computes the sample size necessary
 to obtain a desired level of power for completely randomized and
 rerandomized experiments.

Package: r-cran-rerddap
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3689
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-dplyr, r-cran-data.table, r-cran-digest, r-cran-hoardr, r-cran-jsonlite, r-cran-lubridate, r-cran-nanoparquet, r-cran-ncdf4, r-cran-tibble, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rerddap_1.2.1-1.ca2004.1_all.deb
Size: 1564116
MD5sum: 804add4a1a5c34d36cf45f62a1632571
SHA1: b20a296d5e9d83effcac3294d31e6f65caa04ca0
SHA256: 3df09f77d82a1c0b93780c6aa5da86a1585fd5da7eec86375638a4cf84466b66
SHA512: 5db358363a0e44099fd2c3253773bde18f3d27c0324454318ca22e72d436a62708380442ee84a0753a0f85b0c33d5716a9848842c1ce875a32c998015e622f8c
Homepage: https://cran.r-project.org/package=rerddap
Description: CRAN Package 'rerddap' (General Purpose Client for 'ERDDAP™' Servers)
 General purpose R client for 'ERDDAP™' servers. Includes functions to search
 for 'datasets', get summary information on 'datasets', and fetch 'datasets',
 in either 'csv' or 'netCDF' format.  'ERDDAP™' information:
 <https://upwell.pfeg.noaa.gov/erddap/information.html>.

Package: r-cran-rerddapxtracto
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-maps, r-cran-ncdf4, r-cran-parsedate, r-cran-plotdap, r-cran-readr, r-cran-rerddap, r-cran-sf, r-cran-sp, r-cran-tibble
Suggests: r-cran-cmocean, r-cran-gganimate, r-cran-knitr, r-cran-lubridate, r-cran-mapdata, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rerddapxtracto_1.2.3-1.ca2004.1_all.deb
Size: 1141684
MD5sum: 62c7d67bb74c1a11242eb2b0c76a19bb
SHA1: ebd738a6ed655e40ec9298a16baa46c2d4719e1a
SHA256: 76caab217662da979e8e17711ae9193255365bd5b31680b169c2a2e0772a0ef0
SHA512: 4833c1480707cb4e03f748ec669308f0dc4bb87855b6bef5deab901d6fd43b090fb4014915295046e25b5c30296a805ff81b941ece3624d881c8e1459035761c
Homepage: https://cran.r-project.org/package=rerddapXtracto
Description: CRAN Package 'rerddapXtracto' (Extracts Environmental Data from 'ERDDAP™' Web Services)
 Contains three functions that access environmental data from any 'ERDDAP™'
 data web service. The rxtracto() function extracts data along a trajectory
 for a given "radius" around the point. The rxtracto_3D() function extracts
 data in a box. The rxtractogon() function extracts data in a polygon. All of
 those three function use the 'rerddap' package to extract the data, and
 should work with any 'ERDDAP™' server.  There are also two functions,
 plotBBox() and plotTrack() that use the 'plotdap' package to simplify the
 creation of maps of the data.

Package: r-cran-rerefact
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-combinat, r-cran-matrix, r-cran-gdata
Filename: pool/dists/focal/main/r-cran-rerefact_1.0-1.ca2004.1_all.deb
Size: 149900
MD5sum: 5e22ef130b387ec35b5163c0156e5e6b
SHA1: 926ac9641949214f2a3c7beaa0c24158cac3705e
SHA256: 90fc2947e250022fb73dbc4996fed5da29b8ca945dbd91690b99e78edb942835
SHA512: 147994b55410ee70fb4d5b5ad1b7b4cae00fa196196dc43b486fef8a51d35d448ff5421884351b931ba492e55a1a703e852de1993c22a26c31f86307e4ce0c21
Homepage: https://cran.r-project.org/package=REREFACT
Description: CRAN Package 'REREFACT' (Reordering and/or Reflecting Factors for Simulation Studies withExploratory Factor Analysis)
 Executes a post-rotation algorithm that REorders and/or REflects FACTors
 (REREFACT) for each replication of a simulation study with exploratory
 factor analysis.

Package: r-cran-resample
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-splus2r
Filename: pool/dists/focal/main/r-cran-resample_0.6-1.ca2004.1_all.deb
Size: 119104
MD5sum: 6d2ac05dab7818aa591e508c76630b5b
SHA1: 11882151c0202e84fbedbd2c9695453d9ee26328
SHA256: 1fb44e10cdbc05ba8fd5dbfc25480ad49e02fea61ec8e254822f480b4cf2116c
SHA512: 818a88a6bb3d941786b6de2c69bd6df096e7f365405a27bb65c9b18fe70f0783b7141959981dad2a42aa8a76e12198d4b741ba73a8425a6824418861b1a0f8ab
Homepage: https://cran.r-project.org/package=resample
Description: CRAN Package 'resample' (Resampling Functions)
 Bootstrap, permutation tests, and jackknife, featuring easy-to-use syntax.

Package: r-cran-resampledata3
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-resampledata3_1.0-1.ca2004.1_all.deb
Size: 340184
MD5sum: 49b434f515a995e601a2f7b3eadac6ad
SHA1: dfede0d36658cf4f0d1eb337a4d7c184c42e177b
SHA256: 544e47b7fc8b8e15cb6d86ca90f81e0737fb29fb09ad292ca2b9b715c9bb861b
SHA512: 897235cb6d896972604c1fd019fe46875a0fa9986394153875e200430643848de3b1d187ef141c666eba53747ea910b98abe02b6e24fff3e4e9fb8450a5478a0
Homepage: https://cran.r-project.org/package=resampledata3
Description: CRAN Package 'resampledata3' (Data Sets for "Mathematical Statistics with Resampling and R"(3rd Ed))
 Data sets for Chihara and Hesterberg (2022, ISBN: 978-1-119-87404-1)
 "Mathematical Statistics with Resampling in R" (3rd Ed).

Package: r-cran-resampledata
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 786
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-resample
Filename: pool/dists/focal/main/r-cran-resampledata_0.3.2-1.ca2004.1_all.deb
Size: 724628
MD5sum: d3113df80fc2f8a3f51e512fa462e790
SHA1: c43b7c8c8d7da91d1460bc2098707364bca52116
SHA256: 5d161e631ed3685d8140883f6c55881688d7bd36645f0bcaf1cf521529931fc6
SHA512: 2fe572f6f9fb440946346e573a1d54ad5917cb2c06d9015ed3b82f1fce0bdec358109509f37c2e1248feacb02434d339f803e9311b34f7fd7dac4d5ece15ea29
Homepage: https://cran.r-project.org/package=resampledata
Description: CRAN Package 'resampledata' (Data Sets for Mathematical Statistics with Resampling in R)
 Package of data sets from "Mathematical Statistics with Resampling in R"
 (1st Ed. 2011, 2nd Ed. 2018) by Laura Chihara and Tim Hesterberg.

Package: r-cran-rescue
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dbscan, r-cran-igraph, r-cran-irlba, r-cran-matrix, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rescue_1.0.3-1.ca2004.1_all.deb
Size: 36948
MD5sum: b21e9161d3a541e636d9281388aa6a40
SHA1: 12e737f451c0c7263a600cd7504108dec0eea351
SHA256: 87ab689298ffe886d3c5b30886346db61dd0fbabf7bff08fea826a1e58dc1961
SHA512: e056741ae8659622830babb1b501ee9c056c51cd45234c05f68baa09de25a6755ca5dd69d750d60ae584c55eafe038a51195c525f697d05ee757e6097d5c1260
Homepage: https://cran.r-project.org/package=rescue
Description: CRAN Package 'rescue' (Bootstrap Imputation for Single-Cell RNA-Seq Data)
 Given a log-transformed expression matrix and list of informative genes:
 subsample informative genes, cluster samples using shared nearest neighbors
 clustering, estimate missing expression values with the distribution mean of
 means extrapolated from these cell clusterings, and return an imputed
 expression matrix. See Tracy, S., Yuan, G.C. and Dries, R. (2019)
 <doi:10.1186/s12859-019-2977-0> for more details.

Package: r-cran-resde
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-deriv, r-cran-nlme
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-resde_1.1-1.ca2004.1_all.deb
Size: 243820
MD5sum: 50f22d999f0adfc5d7e198d255ce24a6
SHA1: 6c987e95b2d57dc44fec36ecb4732701eee6c3ef
SHA256: b8002df811bdc84de6326446669071e57f38e5c5df608b0e6b5389a66d4194da
SHA512: 9db0caca6bfdb085d45f45b4ccaef809ec3a8b6d8c0aa459e630c8a0c942902a550463508441c72f11b8f1114d1b335d638b025fd7dd2636bcef92b000f3ea83
Homepage: https://cran.r-project.org/package=resde
Description: CRAN Package 'resde' (Estimation in Reducible Stochastic Differential Equations)
 Maximum likelihood estimation for univariate reducible stochastic
 differential equation models. Discrete, possibly noisy observations, not
 necessarily evenly spaced in time. Can fit multiple individuals/units with
 global and local parameters, by fixed-effects or mixed-effects methods.
 Ref.: Garcia, O. (2019) "Estimating reducible stochastic differential
 equations by conversion to a least-squares problem", Computational
 Statistics 34(1): 23-46, <doi:10.1007/s00180-018-0837-4>.

Package: r-cran-researchassociate
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rentrez, r-cran-plyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-researchassociate_1.0.1-1.ca2004.1_all.deb
Size: 31108
MD5sum: d4dfdac57dda596cd5b08fe76c5d83fb
SHA1: c3f09050c6090e5881a9738453d9f5669af3e9c5
SHA256: 6f3338df070e030ed78d874ae426ad25ffe941b9f8f2168d1fa8facb508df091
SHA512: 66b3d33b1b078a54944add7e91a3432748fe43a25db024721ceabca93dce1c08642cbd3619a050f986032f3c2268d1c9e7ee5281efcc6b917b4c97ffffc2fd39
Homepage: https://cran.r-project.org/package=ResearchAssociate
Description: CRAN Package 'ResearchAssociate' (Retrieving Publications from PubMed Database Based on User Query)
 Connects to Pubmed <https://pubmed.ncbi.nlm.nih.gov/> to retrieve
 publications related to user-defined search query.

Package: r-cran-reservoir
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-reservoir_1.1.5-1.ca2004.1_all.deb
Size: 217292
MD5sum: 8b0b93a11440e86ba9f5cfc8c65910b9
SHA1: b5c774d84f01fa521c30d0d4665be0e223e6b384
SHA256: d281af1c1d2935b2c11c0bcf62c55e2d015ee5d8ffd07b99d8ed288953a06040
SHA512: bbe2dade549d2068a809709d886229524a6afb9832f1d961f3b513e27fc27758e5d71016755802fd618ec1b4c192942fbd5df69e537a9542de665b1d97201110
Homepage: https://cran.r-project.org/package=reservoir
Description: CRAN Package 'reservoir' (Tools for Analysis, Design, and Operation of Water SupplyStorages)
 Measure single-storage water supply system performance using resilience,
 reliability, and vulnerability metrics; assess storage-yield-reliability
 relationships; determine no-fail storage with sequent peak analysis;
 optimize release decisions for water supply, hydropower, and multi-objective
 reservoirs using deterministic and stochastic dynamic programming; generate
 inflow replicates using parametric and non-parametric models; evaluate
 inflow persistence using the Hurst coefficient.

Package: r-cran-reservoirnet
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 629
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-reticulate, r-cran-testthat, r-cran-rlang, r-cran-ggplot2, r-cran-ggpubr, r-cran-janitor, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-kableextra, r-cran-slider, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-reservoirnet_0.3.0-1.ca2004.1_all.deb
Size: 345964
MD5sum: dd7d892c3ffc4a004a217133dec914f2
SHA1: 62e27e5327f784001117712f756c1e6adcb8e6ad
SHA256: a092e2837ba71d494321290a302fff6d22a96af1595ce82535036a93ec3c5628
SHA512: 4e5baa1f89f5b30d722e9e5dd0145754bf753aa06246db786e392ee43dd085fdf6a035e2cc57b9bf61d7ac4fd682413eb271b2225bcf644039ab51c7bd01158c
Homepage: https://cran.r-project.org/package=reservoirnet
Description: CRAN Package 'reservoirnet' (Reservoir Computing and Echo State Networks)
 A simple user-friendly library based on the 'python' module 'reservoirpy'.
 It provides a flexible interface to implement efficient Reservoir Computing
 (RC) architectures with a particular focus on Echo State Networks (ESN).
 Some of its features are: offline and online training, parallel
 implementation, sparse matrix computation, fast spectral initialization,
 advanced learning rules (e.g. Intrinsic Plasticity) etc. It also makes
 possible to easily create complex architectures with multiple reservoirs
 (e.g. deep reservoirs), readouts, and complex feedback loops. Moreover,
 graphical tools are included to easily explore hyperparameters. Finally, it
 includes several tutorials exploring time series forecasting, classification
 and hyperparameter tuning. For more information about 'reservoirpy', please
 see Trouvain et al. (2020) <doi:10.1007/978-3-030-61616-8_40>.  This package
 was developed in the framework of the University of Bordeaux’s IdEx
 "Investments for the Future" program / RRI PHDS.

Package: r-cran-reset
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-seurat, r-cran-seuratobject, r-cran-sctransform
Filename: pool/dists/focal/main/r-cran-reset_1.0.0-1.ca2004.1_all.deb
Size: 357444
MD5sum: a3073b534091d927334c842425c24408
SHA1: 6b12702527590046875ee3bb57d9b6a7acb1d588
SHA256: af31ef4ad6dbdc1cf3c7fec13ea85031f3566f55853ab08914ca75136712bd35
SHA512: 7bcaac68f55defe1a68d448534efcb16e4e63541a35a0b704cdadd8d6e8eb0aaafdb61cd468ffe8729349f264b34e842253a26b79c6f4bbb315d5bf18ccc54f4
Homepage: https://cran.r-project.org/package=RESET
Description: CRAN Package 'RESET' (Reconstruction Set Test)
 Contains logic for sample-level variable set scoring using randomized
 reduced rank reconstruction error.  Frost, H. Robert (2023) "Reconstruction
 Set Test (RESET): a computationally efficient method for single sample gene
 set testing based on randomized reduced rank reconstruction error"
 <doi:10.1101/2023.04.03.535366>.

Package: r-cran-reshape
Architecture: all
Version: 0.8.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-reshape_0.8.10-1.ca2004.1_all.deb
Size: 168340
MD5sum: e9a0e406de80e0277df2a0231203eb3f
SHA1: 94d9a237856a591099ce34e5ec19a8832c712187
SHA256: 6b80415cd38fefc89ae56f6be9dada8b36e72badfc7aac46029e7c859c5c4029
SHA512: 1e87869414f13becc67f97f4ab2618d3060e55088e39f4b653695092db73b1fdfec6306a45bc23c51d1780f325432a6b733d845bb2adce2b5967dbb352b2872e
Homepage: https://cran.r-project.org/package=reshape
Description: CRAN Package 'reshape' (Flexibly Reshape Data)
 Flexibly restructure and aggregate data using just two functions: melt and
 cast.

Package: r-cran-resi
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aod, r-cran-boot, r-cran-car, r-cran-clubsandwich, r-cran-ggplot2, r-cran-lmtest, r-cran-nlme, r-cran-sandwich
Suggests: r-cran-gee, r-cran-geepack, r-cran-knitr, r-cran-lme4, r-cran-pscl, r-cran-regtools, r-cran-rmarkdown, r-cran-survival, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-resi_1.3.0-1.ca2004.1_all.deb
Size: 223176
MD5sum: 90c8784cfdba47a175dca7a57e392614
SHA1: 4c2cdfe6001d560b5652d5c4c8ea95d2687c59e7
SHA256: e0aab4341af32b02da5e4ee245f09d3f8bd7924dc0e7ae3e6755ec6ab09b0799
SHA512: 7c2f214f3dc31b4357c5acc41d03b9be89c40ee3a99de83b412ae1f9144c379995ed14343ac61860d7dd184d0598d756036133ce5bfaf7c82086691f6d74036f
Homepage: https://cran.r-project.org/package=RESI
Description: CRAN Package 'RESI' (Robust Effect Size Index (RESI) Estimation)
 Summarize model output using a robust effect size index. The index is
 introduced in Vandekar, Tao, & Blume (2020,
 <doi:10.1007/s11336-020-09698-2>). Software paper available at
 <doi:10.18637/jss.v112.i03>.

Package: r-cran-reside
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-bestnormalize, r-cran-rdp, r-cran-tibble, r-cran-simstudy, r-cran-matrixcalc
Suggests: r-cran-testthat, r-cran-lifecycle, r-cran-knitr, r-cran-rmarkdown, r-cran-dt
Filename: pool/dists/focal/main/r-cran-reside_0.3.2-1.ca2004.1_all.deb
Size: 955164
MD5sum: 86adda4b4ebd74b9668db7158f572e1d
SHA1: ec7e50bf2fce27b13291fe85274ac2facfcb013e
SHA256: 0426ff893b77141bf5745de74f40ffea1d0714ec033977a7392a445c28ad7ac1
SHA512: 01971e306228a6b6b6fd8b85283c34bee4af6718b4543266beac9278da15897b9a33ebb4a87269fd9eeba3d4a4817ebe0017ac23d9ae6730ace72b4b0dcb3120
Homepage: https://cran.r-project.org/package=RESIDE
Description: CRAN Package 'RESIDE' (Rapid Easy Synthesis to Inform Data Extraction)
 Developed to assist researchers with planning analysis, prior to obtaining
 data from Trusted Research Environments (TREs) also known as safe havens.
 With functionality to export and import marginal distributions as well as
 synthesise data, both with and without correlations from these marginal
 distributions. Using a multivariate cumulative distribution (COPULA).
 Additionally the International Stroke Trial (IST) is included as an example
 dataset under ODC-By licence Sandercock et al. (2011) <doi:10.7488/ds/104>,
 Sandercock et al. (2011) <doi:10.1186/1745-6215-12-101>.

Package: r-cran-residentialenergyconsumption
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4826
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-residentialenergyconsumption_1.1.0-1.ca2004.1_all.deb
Size: 4762220
MD5sum: 05f1db40669b183dee6cda529b1c394a
SHA1: 4c4a76a8a2ed12be62a1e0f82943ab5c20d72f5b
SHA256: 7843b710aac640779db2a51756f9123f91b54bd586bce46528fe93fd13017b8f
SHA512: 11eba59f3f5da716d7d99ea82d86eb124abf993414ea5cda0ad902d3560ddf14793a0a52f178d40ee53f81ce0dfb66a4eed0e7f28159953512d32c62390f26cc
Homepage: https://cran.r-project.org/package=ResidentialEnergyConsumption
Description: CRAN Package 'ResidentialEnergyConsumption' (Residential Energy Consumption Data)
 Datasets with energy consumption data of different data measurement
 frequencies.  The data stems from several publicly funded research projects
 of the Chair of Information Systems and Energy Efficient Systems at the
 University of Bamberg.

Package: r-cran-resilience
Architecture: all
Version: 2024.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nptest, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-resilience_2024.1.2-1.ca2004.1_all.deb
Size: 30324
MD5sum: 7613ea70fac43ea4d3327c4e4b8b870a
SHA1: 8b87cfe172909041bbbc91a45b0d968c0dfeb667
SHA256: 2f3cb73f0dfd86f99ac2be285ced7741e59509a6f10430117c43cb082571cc53
SHA512: b209cf33682cacc2ae685db3a92b3a15b762d0799f8bc160d1e685234767e877c0add63740fe6aa73e81399ed78508aca4599df8098d37ee2c9d461fb419e710
Homepage: https://cran.r-project.org/package=resilience
Description: CRAN Package 'resilience' (Predictors of Resilience to a Stressor in a Single-Arm Study)
 Studies of resilience in older adults employ a single-arm design where
 everyone experiences the stressor. The simplistic approach of regressing
 change versus baseline yields biased estimates due to
 regression-to-the-mean. This package provides a method to correct the bias.
 It also allows covariates to be included. The method implemented in the
 package is described in Varadhan, R., Zhu, J., and Bandeen-Roche, K (2023),
 Biostatistics (To appear).

Package: r-cran-resin
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1404
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-psych, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-fastdummies, r-cran-qgraph, r-cran-igraph, r-cran-wcorr, r-cran-matrix, r-cran-directedclustering, r-cran-foreach, r-cran-parallelly, r-cran-dosnow, r-cran-readr, r-cran-ggraph, r-cran-shadowtext
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-resin_2.1.0-1.ca2004.1_all.deb
Size: 1155356
MD5sum: 1670bb3893656dd87879d8974551a602
SHA1: e8aa3252c11d35813ab82c11733a5acb45f563c9
SHA256: a722fedeb08568dc523fd270a51ee5bdb3f3edda11915df0441240a2fcfcf301
SHA512: 1c272cc094e0b18161d04a04e0fce39bb683d5547e1d18a501f5d6b73dc26ee64d9b66db71df675f40635cd6b1a863557e7663194bb751fb438bc8954068f61b
Homepage: https://cran.r-project.org/package=ResIN
Description: CRAN Package 'ResIN' (Response Item Networks)
 Contains various tools to perform and visualize Response Item Networks
 ('ResIN's'). 'ResIN' binarizes ordered-categorical and qualitative response
 choices from (survey) data, calculates pairwise associations and maps the
 location of each item response as a node in a force-directed network. Please
 refer to <https://www.resinmethod.net/> for more details.

Package: r-cran-resindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-resindex_0.1.0-1.ca2004.1_all.deb
Size: 14340
MD5sum: 9055fad26d94379a0564cd79143c229e
SHA1: 8bf9fafd5df422d778af85a565d13fa03b728e12
SHA256: 21a51bee991c0d6e901ce504942f2433b7f7cebc5f76505945fe2bf8ec1a08c0
SHA512: b2e657788297b5743d5e25efc9b6d002218fc6d5745ea6dbb5c931ac75e04ab146a6bb4d727e2dd8a72c40f8f16c4cc04e8ae8f15d219077b5f93fdd45784c1d
Homepage: https://cran.r-project.org/package=ResIndex
Description: CRAN Package 'ResIndex' (Generate Simple yet Effective Metric of Feature Importance forClassification Problems)
 An intuitive and explainable metric of Feature Importance for Classification
 Problems.  Resolution Index measures the extent to which a Feature clusters
 different classes when data is sorted on it. User provides a DataFrame,
 column name of the Class, sample size and number of iterations used for
 calculation. Resolution Index for each Feature is returned, which can be
 effectively used to rank Features and reduce Dimensionality of Training
 data. For more details on Feature Selection see Theng and Bhoyar (2023)
 <doi:10.1007/s10115-023-02010-5>.

Package: r-cran-resistorarray
Architecture: all
Version: 1.0-32-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 339
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-resistorarray_1.0-32-1.ca2004.1_all.deb
Size: 300932
MD5sum: 6f1ecb65798f1543b86c7ea44fc19dfa
SHA1: 2af76034fde853d145edf72be4d94fddf58e526e
SHA256: 72fd6129cd038eb519a16b231698a3734c88f2b919334445649599e44ee19bee
SHA512: 7a303cb49684da9f59ea3285b5309e1d07a1aff778e4cca6e3dc90311de91c3c8b3b989d8811b78690d3bf524b3e9717807e98b6408cda0b95ef3d0aa2d448c0
Homepage: https://cran.r-project.org/package=ResistorArray
Description: CRAN Package 'ResistorArray' (Electrical Properties of Resistor Networks)
 Electrical properties of resistor networks using matrix methods.

Package: r-cran-reslife
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-flexsurv, r-cran-gsl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-reslife_0.2.1-1.ca2004.1_all.deb
Size: 125628
MD5sum: 55bf81d3149daae0a853ba96d5db8f49
SHA1: ade0cc9f8c5239f222ad35c61feea985b2b6abf6
SHA256: 6c38e35161f735a95fe0e42cb4edca7a2f0448452e7c584602a83a0c2bf23794
SHA512: 245262c24a343cb0ff7207ad59add95c69d5cb516eed55cb1c7d1d7ad9c9d13615043c4d870d782b7a81c469220b53e300de7169466089bfe4a3087ad74eae08
Homepage: https://cran.r-project.org/package=reslife
Description: CRAN Package 'reslife' (Calculate Mean Residual Life (MRL) and Related Values forDifferent Distributions)
 A pair of functions for calculating mean residual life (MRL) , median
 residual life, and percentile residual life using the outputs of either the
 'flexsurv' package or parameters provided by the user. Input information
 about the distribution, the given 'life' value, the percentile, and the type
 of residual life, and the function will return your desired values. For the
 'flexsurv' option, the function allows the user to input their own data for
 making predictions.  This function is based on Jackson (2016)
 <doi:10.18637/jss.v070.i08>.

Package: r-cran-reslr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4091
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-fastdummies, r-cran-fields, r-cran-geosphere, r-cran-ggplot2, r-cran-magrittr, r-cran-ncdf4, r-cran-plyr, r-cran-posterior, r-cran-purrr, r-cran-r2jags, r-cran-stringr, r-cran-tidybayes, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-reslr_0.1.1-1.ca2004.1_all.deb
Size: 2585848
MD5sum: 430386078ef46dac558db833320dcc7f
SHA1: 224ad7c7fafed27e54926c34c939215fdfe05471
SHA256: 1fd5eb80873f8caa50362d4bee79f66cefe6830bd25dd1cda33b05fa7f3cd337
SHA512: 03f90677ece8bae26d0145f82834a170e9c4bf97327407d6f330ba8cc94b713c6e9e89a6b37b2a7ac895f1edb2198c3d8486cee39c7dccdb2505c0ef001a078e
Homepage: https://cran.r-project.org/package=reslr
Description: CRAN Package 'reslr' (Modelling Relative Sea Level Data)
 The Bayesian modelling of relative sea-level data using a comprehensive
 approach that incorporates various statistical models within a unifying
 framework.  Details regarding each statistical models; linear regression
 (Ashe et al 2019) <doi:10.1016/j.quascirev.2018.10.032>, change point models
 (Cahill et al 2015) <doi:10.1088/1748-9326/10/8/084002>, integrated Gaussian
 process models (Cahill et al 2015) <doi:10.1214/15-AOAS824>, temporal
 splines (Upton et al 2023) <arXiv:2301.09556>, spatio-temporal splines
 (Upton et al 2023) <arXiv:2301.09556> and generalised additive models (Upton
 et al 2023) <arXiv:2301.09556>.  This package facilitates data loading,
 model fitting and result summarisation.  Notably, it accommodates the
 inherent measurement errors found in relative sea-level data across multiple
 dimensions, allowing for their inclusion in the statistical models.

Package: r-cran-resmush
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 944
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-httr2
Suggests: r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-resmush_0.2.1-1.ca2004.1_all.deb
Size: 794456
MD5sum: 591de5d161fcfb35e5b72d033c7900f5
SHA1: 9b591e844f33d8f4b4aa4baa6d4cfe040542ad05
SHA256: 4d515dd239d7f4e22802e0ca60194512dcba5c0aca2777683f4c6cafe3a0d014
SHA512: fb6065f095ae1a2b26275a41e1d4af0885c6be0762ae0d2edf9893ee06a3e473135edaedd9f6e90b2d6a52fc41d7154f546ff49ddf732c0244f35b3cf3838c73
Homepage: https://cran.r-project.org/package=resmush
Description: CRAN Package 'resmush' (Optimize and Compress Image Files with 'reSmush.it')
 Compress local and online images using the 'reSmush.it' API service
 <https://resmush.it/>.

Package: r-cran-resourcer
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1161
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-haven, r-cran-readr, r-cran-readxl, r-cran-ssh, r-cran-sys, r-cran-mongolite, r-cran-dplyr, r-cran-dbplyr, r-cran-dbi, r-cran-rmariadb, r-cran-rpostgresql, r-cran-sparklyr, r-cran-rpresto, r-cran-nodbi, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-resourcer_1.4.0-1.ca2004.1_all.deb
Size: 770788
MD5sum: 46308524567f0b4a2e94cf3da0cef7be
SHA1: 1831cfadf653dc0b48ba9a789674ac9af4551257
SHA256: 0e46a778d5a9994e81d6aaf738cdb46511abe0d8f59caeec1580daf4a19f96f9
SHA512: 062137dea385a2022dfe552bca6f1f9109a61ff035921010756ae19203c9d1813113fa1d71616aa0b8157c0e44bf9ebfe92079639d6345a3d7f756c423743532
Homepage: https://cran.r-project.org/package=resourcer
Description: CRAN Package 'resourcer' (Resource Resolver)
 A resource represents some data or a computation unit. It is described by a
 URL and credentials. This package proposes a Resource model with "resolver"
 and "client" classes to facilitate the access and the usage of the
 resources.

Package: r-cran-resourceselection
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 533
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-pbapply, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-resourceselection_0.3-6-1.ca2004.1_all.deb
Size: 509456
MD5sum: a76deaedf3339c4a08cba373b9630696
SHA1: 509409737aae063bf61952e7a5b4264a1fddfd63
SHA256: d024038503be57f5c06c03fd2430c7646effd1e4148509521a5291658babba12
SHA512: 6fa1a0e612c06ebd88b451c877bea1413f28ba803d66cb70523ab34f26398835398d94122f97975ef5ce1f8f80df8f9e408e2e0a6f95a089ae5e4b6466476a33
Homepage: https://cran.r-project.org/package=ResourceSelection
Description: CRAN Package 'ResourceSelection' (Resource Selection (Probability) Functions for Use-AvailabilityData)
 Resource Selection (Probability) Functions for use-availability wildlife
 data based on weighted distributions as described in Lele and Keim (2006)
 <doi:10.1890/0012-9658(2006)87%5B3021:WDAEOR%5D2.0.CO;2>, Lele (2009)
 <doi:10.2193/2007-535>, and Solymos & Lele (2016)
 <doi:10.1111/2041-210X.12432>.

Package: r-cran-respbibd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-respbibd_0.1.0-1.ca2004.1_all.deb
Size: 30552
MD5sum: 7c6c7bd8ed8f1a27d95fc0a2b6227420
SHA1: 006de7cdb29e27167e74c5600e8ed556fd9078f8
SHA256: 4976a42d256a9e3c5b5f40d1f1dc489e719f68c60eaf268c3b27f550894415b6
SHA512: c50ea5a6da582b3fa5959cd14cb7b3d4814f6eee6651e00da721b12329190533755fabc0104d4a1b6d5131ba761f8c77bf1a659e998b8a4707e710184f934172
Homepage: https://cran.r-project.org/package=ResPBIBD
Description: CRAN Package 'ResPBIBD' ("Resolvable Partially Balanced Incomplete Block Designs(PBIBDs)")
 A collection of several utility functions related to resolvable and affine
 resolvable Partially Balanced Incomplete Block Designs (PBIBDs), have been
 developed. In the class of resolvable designs, affine resolvable designs are
 said to be optimal, Bailey (1995) <doi:10.2307/2337638>. Here, the package
 contains three functions to generate and study the characterization
 properties of these designs. Developed functions are named as PBIBD1(),
 PBIBD2() and PBIBD3(), in which first two functions are used to generate two
 new series of affine resolvable PBIBDs and last one is used to generate a
 new series of resolvable PBIBDs, respectively.  In addition, these functions
 can also be used to generate design parameters (v, b, r and k), canonical
 efficiency factors, variance factor between associates and average variance
 factors of the generated designs. Here v is the number of treatments, b (=
 b1 + b2, in case of non-proper design) is the number of blocks, r is the
 number of replications and k (= k1 + k2; k1 is the size of b1 and k2 is the
 size of b2) is the block size.

Package: r-cran-respirometry
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-birk, r-cran-dplyr, r-cran-lubridate, r-cran-marelac, r-cran-measurements, r-cran-minpack.lm, r-cran-plyr, r-cran-rlang, r-cran-seacarb, r-cran-segmented
Filename: pool/dists/focal/main/r-cran-respirometry_2.0.2-1.ca2004.1_all.deb
Size: 480516
MD5sum: 5b2bd88ae31fdb61bfb19900b4fa1ded
SHA1: 9851ed600280a392c2b54e0059d625a0b631016a
SHA256: ced9e0cf16beff4b99d2368fa184fdf9a8289597c829fbee5463ddbe6c869ea6
SHA512: de8b00120190a8d5e57b372098016a1c590852c8ee6565bdc4610b2c7777e7f67ff048e186b35d047fa2c7e33d416f3ffbacb360fac21bb0ff8111a5564198fb
Homepage: https://cran.r-project.org/package=respirometry
Description: CRAN Package 'respirometry' (Tools for Conducting and Analyzing Respirometry Experiments)
 Provides tools to enable the researcher to more precisely conduct
 respirometry experiments. Strong emphasis is on aquatic respirometry. Tools
 focus on helping the researcher setup and conduct experiments. Functions for
 analysis of resulting respirometry data are also provided. This package
 provides tools for intermittent, flow-through, and closed respirometry
 techniques.

Package: r-cran-responsepatterns
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-responsepatterns_0.1.1-1.ca2004.1_all.deb
Size: 110536
MD5sum: 871f2679f1134671e885c0655216ab88
SHA1: 78da3e468bdfc0ef0dc20d944d303f9d4e3b04cc
SHA256: 9cf446829386c47c0c060b90a04209a73f03159718cb1bc6bd9f48b403900aff
SHA512: b268fc354d0dc4770719c99b0ad20fb8a0c6430b69d6a8ddd2a8d6f5e227abf2458699d42357f56974403eb5446ccb61e65c4de6f3fa4f84b748ceaaead9b903
Homepage: https://cran.r-project.org/package=responsePatterns
Description: CRAN Package 'responsePatterns' (Screening for Careless Responding Patterns)
 Some survey participants tend to respond carelessly which complicates data
 analysis. This package provides functions that make it easier to explore
 responses and identify those that may be problematic. See Gottfried et al.
 (2022) <doi:10.7275/vyxb-gt24> for more information.

Package: r-cran-respr
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2542
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-marelac, r-cran-purrr, r-cran-roll, r-cran-segmented, r-cran-stringr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rmr, r-cran-fishresp, r-cran-respirometry, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-respr_2.3.3-1.ca2004.1_all.deb
Size: 2106128
MD5sum: 6cea02c3e9cae69ac4041d817f7a79fd
SHA1: 8da4b073bb27fce728106ee16e09c914aca9bb5e
SHA256: 0932c7acc9ac070018bb8580e6737d212f01f27225b5f79b98c911150a41a96a
SHA512: ebaa6f17b8e1bf6e2673ffd37653f6412770073451972661cc1b4afae1a693893bc9d5c9c6faaf99103ea36b5995fc3c8e83b2cbd2ba3327575dba685095d9c2
Homepage: https://cran.r-project.org/package=respR
Description: CRAN Package 'respR' (Import, Process, Analyse, and Calculate Rates from RespirometryData)
 Provides a structural, reproducible workflow for the processing and analysis
 of respirometry data. It contains analytical functions and utilities for
 working with oxygen time-series to determine respiration or oxygen
 production rates, and to make it easier to report and share analyses. See
 Harianto et al. 2019 <doi:10.1111/2041-210X.13162>.

Package: r-cran-resquin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-purrr, r-cran-rlang, r-cran-slider, r-cran-stringi, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-resquin_0.1.1-1.ca2004.1_all.deb
Size: 136860
MD5sum: 6a221edcef5912f092ef214cab8f143b
SHA1: c1712a87aec235597b541fa668c75cb60748adf5
SHA256: ce1ac142fc611fdd771e5fb143b7381790f9eeb2d8997745f948c16aba7ead0f
SHA512: 50035c1555e28991a1680567d5f0b3e3b6ccee0b711c0b324ea2bdc06fdab42fb7a3efa7344fc7d807575e4c5ba902ed688acc82af97be8d428e296c6223efea
Homepage: https://cran.r-project.org/package=resquin
Description: CRAN Package 'resquin' (Response Quality Indicators for Survey Research)
 Calculate common survey data quality indicators for multi-item scales and
 matrix questions. Currently supports the calculation of response style
 indicators and response distribution indicators.  For an overview on
 response quality indicators see Bhaktha N, Henning S, Clemens L (2024).
 'Characterizing response quality in surveys with multi-item scales: A
 unified framework' <https://osf.io/9gs67/>.

Package: r-cran-ress
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ress_1.3-1.ca2004.1_all.deb
Size: 39596
MD5sum: 3732ae7464c55b912b49edd8a9d7471c
SHA1: d9b0f37b41481ce00292f026290c9f939eaa4e34
SHA256: 4f388dda27d84e58f038c2dba7b04e8badbb6c05a31033465582a5f2350c467f
SHA512: 4da9365756c29eb0ff1de6f3ea6856c6c2647040ec1de99b9f1c0de155732a3ca0e36b5ba5f11cf6f78c7f643b4f3f5ccd3b585ef1f169359c357d48c6a525ad
Homepage: https://cran.r-project.org/package=RESS
Description: CRAN Package 'RESS' (Integrates R and Essentia)
 Contains three functions that query AuriQ Systems' Essentia Database and
 return the results in R. 'essQuery' takes a single Essentia command and
 captures the output in R, where you can save the output to a dataframe or
 stream it directly into additional analysis. 'read.essentia' takes an
 Essentia script and captures the output csv data into R, where you can save
 the output to a dataframe or stream it directly into additional analysis.
 'capture.essentia' takes a file containing any number of Essentia commands
 and captures the output of the specified statements into R dataframes.
 Essentia can be downloaded for free at
 http://www.auriq.com/documentation/source/install/index.html.

Package: r-cran-rest
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcmdr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rest_1.0.1-1.ca2004.1_all.deb
Size: 734260
MD5sum: fa5dcbd5d3e3d7a994e8350abe7fb2b9
SHA1: 5db6bd9ce2f21151b85a493f9ce149522d98d965
SHA256: 8a76f177f06f057b839632230741cc20fe449505e06254aa7b550e0debe26259
SHA512: 6ce81fc1ad5f0ce75e3edc5d66a47fc1969d9a52d3a0b49213085139ceac9f69479f433c43984fcb88c3e3f4c351b60d572fd4f877989ceb5550c3d33f166116
Homepage: https://cran.r-project.org/package=REST
Description: CRAN Package 'REST' (RcmdrPlugin Easy Script Templates)
 Contains easy scripts which can be used to quickly create GUI windows for
 'Rcmdr' Plugins. No knowledge about Tcl/Tk is required to make use of these
 scripts (These scripts are a generalisation of the template scripts in the
 'RcmdrPlugin.BiclustGUI' package).

Package: r-cran-restatapi
Architecture: all
Version: 0.24.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-rjson, r-cran-xml2
Suggests: r-cran-chron, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-remotes
Filename: pool/dists/focal/main/r-cran-restatapi_0.24.2-1.ca2004.1_all.deb
Size: 230680
MD5sum: 9c422e82506506ce7a5651451aaaa24e
SHA1: c354020742033c8e2dd562ab489fa5043dc63fcb
SHA256: 058ca66d4c4b7168d794bba20bcfe8931baaa40ff25ee3dc28d656b9ade5c0d6
SHA512: cec3a0bd2315d2c86028874fc52d82ec4c0afff02ee003357eab2fc699a82ddaca79f69fcb115b13b497ce0045dfce51f2649e8afd1ab5130dcca1b938025914
Homepage: https://cran.r-project.org/package=restatapi
Description: CRAN Package 'restatapi' (Search and Retrieve Data from Eurostat Database)
 Eurostat is the statistical office of the European Union and provides high
 quality statistics for Europe.  Large set of the data is disseminated
 through the Eurostat database
 (<https://ec.europa.eu/eurostat/web/main/data/database>).  The tools are
 using the REST API with the Statistical Data and Metadata eXchange (SDMX)
 Web Services
 (<https://wikis.ec.europa.eu/pages/viewpage.action?pageId=44165555>) to
 search and download data from the Eurostat database using the SDMX standard.

Package: r-cran-restatis
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 651
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-askpass, r-cran-httr2, r-cran-memoise, r-cran-readr, r-cran-tibble, r-cran-vctrs, r-cran-purrr
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rvest, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-restatis_0.3.0-1.ca2004.1_all.deb
Size: 513600
MD5sum: 8eb446d205a7e0b5ca016d2420aefb74
SHA1: 8e806e60a5a33a2441e018a2215a48fc9a7f4c8e
SHA256: e980fc8ba70625ef470ffa933ad1969a8c96cbdf987cca8c8f177b310aae5d20
SHA512: ab6ce5a9409180814bd810ab0717c149dd4bea4782134dfb1fbb30d0695f91612b333372c02a40a7c681e38d339098bf677335837674f35c70079f8595e55721
Homepage: https://cran.r-project.org/package=restatis
Description: CRAN Package 'restatis' (R Wrapper to Access a Wide Range of Germany's FederalStatistical System Databases Based on the GENESIS Web ServiceRESTful API of the German Federal Statistical Office(Statistisches Bundesamt/Destatis))
 A RESTful API wrapper for accessing the GENESIS database of the German
 Federal Statistical Office (Destatis) as well as its Census Database and the
 database of Germany's regional statistics. Supports data search functions,
 credential management, result caching, and handling remote background jobs
 for large datasets.

Package: r-cran-restaurant
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-restaurant_0.1.0-1.ca2004.1_all.deb
Size: 35268
MD5sum: 522f9a513326e81caef95ccd84c66f21
SHA1: 1dcbfac5eead277a15886296ae39abbd9feb17fd
SHA256: 4747ac3af0203c30f5934ee486dbc1b59a0d36099bba9cba707ea67864133e71
SHA512: a5c4454cfd6024d1846c7c32c014abe8444a263de353b2506787e3add641c35daa65ab82c5b7fd02b1b8083528310e15c7cb0e33ab67272d220861c82f5abffe
Homepage: https://cran.r-project.org/package=restaurant
Description: CRAN Package 'restaurant' (Restaurant Data for Entity Resolution)
 Duplicated restaurant data (pre-processed and formatted) for entity
 resolution. This package contains formatted data from a data set that
 contains information about different restaurants, with the Zagats portion
 containing 331 records and the Fodors portion containing 533 records. The
 following variables are included in the data set: id, name, address, city,
 phone, type. The data set has a respective gold data set that provides
 information on which records match based on id.

Package: r-cran-restez
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 492
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rentrez, r-cran-dbi, r-cran-curl, r-cran-cli, r-cran-crayon, r-cran-stringi, r-cran-duckdb, r-cran-fs, r-cran-assertthat, r-cran-ape
Suggests: r-cran-sessioninfo, r-cran-testthat, r-cran-knitr, r-cran-r.utils, r-cran-rmarkdown, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-restez_2.1.5-1.ca2004.1_all.deb
Size: 387088
MD5sum: 9fda0a38dc86c6e8545bdde808842fe1
SHA1: dfa65652c8dde4215d4e4099694cc96902c23945
SHA256: 1b8c50eb41282baebfe490383a3bca92d5de787be73e6f20d72f6e2e6a85eb28
SHA512: d3c16c8ab950883509c93931b92985c2a2742c4914750bbeab5649c3872d82d5d33d628c4cc75e618e306a1549a948f755410a1464c6355bae96037383ec7b51
Homepage: https://cran.r-project.org/package=restez
Description: CRAN Package 'restez' (Create and Query a Local Copy of 'GenBank' in R)
 Download large sections of 'GenBank' <https://www.ncbi.nlm.nih.gov/genbank/>
 and generate a local SQL-based database. A user can then query this database
 using 'restez' functions or through 'rentrez'
 <https://CRAN.R-project.org/package=rentrez> wrappers.

Package: r-cran-restimizeapi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-restimizeapi_1.0.0-1.ca2004.1_all.deb
Size: 40304
MD5sum: 6a535b46290ae72015848968fc339def
SHA1: 1fa55b9b6ca2f8e6a017f1a2ae50d8c86dc314df
SHA256: 1bd1bed18d630afaa75dcfaffd5b2dfedcf0be314b3ccac61fb35a0db07f7add
SHA512: b06a09519d3492679daf34762b9a6ca896afdd521337b8bd80a98d79841861a1cc2dda0c38c7eca6e9ae8e12ab2688b4747db02232e17c611166311294bd28ff
Homepage: https://cran.r-project.org/package=restimizeapi
Description: CRAN Package 'restimizeapi' (Functions for Working with the 'www.estimize.com' Web Services)
 Provides the user with functions to develop their trading strategy, uncover
 actionable trading ideas, and monitor consensus shifts with crowdsourced
 earnings and economic estimate data directly from <www.estimize.com>.
 Further information regarding the web services this package invokes can be
 found at <www.estimize.com/api>.

Package: r-cran-restk
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-restk_1.0.1-1.ca2004.1_all.deb
Size: 32936
MD5sum: 46bcd00c782a87eaee23c073b1a0cab1
SHA1: a86b1301ffdc2c025f9e437b96f7f761a948ed03
SHA256: 4f6ba905ab1a2f2c01df5e6994b223beef1f7a3aa850fbcde9e26849d72b9053
SHA512: 2d99a6bd6a825149863251d4c4d7d2872d301acb8c836eb2fa16053a91e5e8ac2b99419ba48f030048ca00e2cd4f6b1cbd3cc83814315e578313bf54cc629f1e
Homepage: https://cran.r-project.org/package=RESTK
Description: CRAN Package 'RESTK' (An Implementation of the RESTK Algorithm)
 Implementation of the RESTK algorithm based on Markov's Inequality from
 Vilardell, Sergi, Serra, Isabel, Mezzetti, Enrico, Abella, Jaume, Cazorla,
 Francisco J. and Del Castillo, J. (2022). "Using Markov's Inequality with
 Power-Of-k Function for Probabilistic WCET Estimation". In 34th Euromicro
 Conference on Real-Time Systems (ECRTS 2022). Leibniz International
 Proceedings in Informatics (LIPIcs) 231 20:1-20:24.
 <doi:10.4230/LIPIcs.ECRTS.2022.20>. This work has been supported by the
 European Research Council (ERC) under the European Union's Horizon 2020
 research and innovation programme (grant agreement No. 772773).

Package: r-cran-restoptr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5171
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-rjava, r-cran-units, r-cran-assertthat, r-cran-magrittr, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-cran-rmarkdown, r-cran-landscapemetrics, r-cran-vegan, r-cran-cluster, r-cran-ggthemes, r-cran-paletteer
Filename: pool/dists/focal/main/r-cran-restoptr_1.0.6-1.ca2004.1_all.deb
Size: 4067764
MD5sum: e1aa174c892ceaa53065b15c623f76f2
SHA1: e050a0259244d2a10e0ddb81fbfe911bf4edf3b4
SHA256: 65089c0ad8efa80a5581b1800ac6f73d013d2ebf2193044b5aa3285fa1117c79
SHA512: 11a0b3c18f56747c3654ad61806eb40f38ec4179803ea5c364b83765fd47c4416dc1580c954064abb842cc3651d740b39e7785a6cd01ad2d50d39b04dc56dfca
Homepage: https://cran.r-project.org/package=restoptr
Description: CRAN Package 'restoptr' (Ecological Restoration Planning)
 Flexible framework for ecological restoration planning. It aims to identify
 priority areas for restoration efforts using optimization algorithms (based
 on Justeau-Allaire et al. 2021 <doi:10.1111/1365-2664.13803>). Priority
 areas can be identified by maximizing landscape indices, such as the
 effective mesh size (Jaeger 2000 <doi:10.1023/A:1008129329289>), or the
 integral index of connectivity (Pascual-Hortal & Saura 2006
 <doi:10.1007/s10980-006-0013-z>). Additionally, constraints can be used to
 ensure that priority areas exhibit particular characteristics (e.g., ensure
 that particular places are not selected for restoration, ensure that
 priority areas form a single contiguous network). Furthermore, multiple
 near-optimal solutions can be generated to explore multiple options in
 restoration planning. The package leverages the 'Choco-solver' software to
 perform optimization using constraint programming (CP) techniques
 (<https://choco-solver.org/>).

Package: r-cran-restorenet
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-xtable, r-cran-scales, r-cran-stringr, r-cran-ggplot2, r-cran-scatterpie, r-cran-rcolorbrewer
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-restorenet_1.0.1-1.ca2004.1_all.deb
Size: 548048
MD5sum: d0617656e3fd946c4e6da4abb28581f0
SHA1: d29d6090707356cffd60e67317e7836e023804fa
SHA256: 6d6efb67672770f54d782ff0d751b8e07684b70bb0a211ce102109b14b6293e3
SHA512: 92e9a98209d3a9c30b49c9151ec22e701b50a51097374674742b14808d10589971ee32fd798d5b07408109c8e64dfe4e99c7ca42c2d051d290dbf8d6b00496fe
Homepage: https://cran.r-project.org/package=RestoreNet
Description: CRAN Package 'RestoreNet' (Random-Effects Stochastic Reaction Networks)
 A random-effects stochastic model that allows quick detection of clonal
 dominance events from clonal tracking data collected in gene therapy
 studies. Starting from the Ito-type equation describing the dynamics of
 cells duplication, death and differentiation at clonal level, we first
 considered its local linear approximation as the base model.  The parameters
 of the base model, which are inferred using a maximum likelihood approach,
 are assumed to be shared across the clones. Although this assumption makes
 inference easier, in some cases it can be too restrictive and does not take
 into account possible scenarios of clonal dominance.  Therefore we extended
 the base model by introducing random effects for the clones.  In this
 extended formulation the dynamic parameters are estimated using a
 tailor-made expectation maximization algorithm. Further details on the
 methods can be found in L. Del Core et al., (2022)
 <doi:10.1101/2022.05.31.494100>.

Package: r-cran-restorepoint
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-restorepoint_0.2-1.ca2004.1_all.deb
Size: 88080
MD5sum: a84e1d16d0b85d92bcef9ff2d886c322
SHA1: c7b85ae79471e2f8370e4ceb0b74a65a9c03d25b
SHA256: c2c8d666e37baae14008c0e43d3a21362dc840e0ae9991ac5231533cad4bf3fd
SHA512: 6603a7535d52bf1c3f977cf34528471055d426fd186beca66fb696ed099bee5c6aef10bae252781ce9d004dd355116b1aead87813725e17187cafffa601dc9ba
Homepage: https://cran.r-project.org/package=restorepoint
Description: CRAN Package 'restorepoint' (Debugging with Restore Points)
 Debugging with restore points instead of break points. A restore point
 stores all local variables when called inside a function. The stored values
 can later be retrieved and evaluated in a modified R console that replicates
 the function's environment. To debug step by step, one can simply copy &
 paste the function body from the R script. Particularly convenient in
 combination with "RStudio". See the "Github" page inst/vignettes for a
 tutorial.

Package: r-cran-restriktor
Architecture: all
Version: 0.6-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1824
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-lavaan, r-cran-mass, r-cran-mvtnorm, r-cran-tmvtnorm, r-cran-quadprog, r-cran-norm, r-cran-ggplot2, r-cran-future, r-cran-future.apply, r-cran-progressr, r-cran-scales, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bain, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-restriktor_0.6-10-1.ca2004.1_all.deb
Size: 1195560
MD5sum: 7916dbaf95219be1022b4ecf45865c78
SHA1: 51607963a07a130f92f6b4d3fe9c427e1548c076
SHA256: adbb782f29a39e5c4af4a91d186d46773fa346b0489dbeff2ff436d519266c2f
SHA512: f4044f01f47b0843237e31085489ac9b250841dc8e6d3ab06221f192d6d96b70b06dc683ce13cafc4ff2e43a71d5f43ce5ccc9feed4de7e86eccba95d8a66893
Homepage: https://cran.r-project.org/package=restriktor
Description: CRAN Package 'restriktor' (Restricted Statistical Estimation and Inference for LinearModels)
 Allow for easy-to-use testing or evaluating of linear equality and
 inequality restrictions about parameters and effects in (generalized) linear
 statistical models.

Package: r-cran-result
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-result_0.1.0-1.ca2004.1_all.deb
Size: 30080
MD5sum: 654cd5749e6ab42838bc12746fcb11ac
SHA1: 3ea63c4e6f974cc32fe204991f07b8c62d936566
SHA256: fa6c4839fc07c4aa6de211f5652bb1a132cbfe47c6dacf2e461976a886df66ba
SHA512: a95e80b1aea6a68b67fecad445fe77317c1dcc3f5671e4ebad9e7a0d6687203a11d0440bd323e8bab21b312fe87b8ee4217c71358cd8058bde104b58d2bdbcaa
Homepage: https://cran.r-project.org/package=result
Description: CRAN Package 'result' (Result Type for Safely Handling Operations that can Succeed orFail)
 Allows wrapping values in success() and failure() types to capture the
 result of operations, along with any status codes. Risky expressions can be
 wrapped in as_result() and functions wrapped in result() to catch errors and
 assign the relevant result types. Monadic functions can be bound together as
 pipelines or transaction scripts using then_try(), to gracefully handle
 errors at any step.

Package: r-cran-resultmodelmanager
Architecture: all
Version: 0.5.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1693
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-databaseconnector, r-cran-sqlrender, r-cran-parallellogger, r-cran-checkmate, r-cran-dbi, r-cran-pool, r-cran-readr, r-cran-zip, r-cran-dplyr, r-cran-dbplyr, r-cran-rlang, r-cran-lubridate, r-cran-fastmap, r-cran-withr
Suggests: r-cran-testthat, r-cran-rsqlite, r-cran-duckdb, r-cran-knitr, r-cran-rmarkdown, r-cran-keyring, r-cran-devtools, r-cran-pkgdown, r-cran-remotes, r-cran-styler, r-cran-andromeda
Filename: pool/dists/focal/main/r-cran-resultmodelmanager_0.5.11-1.ca2004.1_all.deb
Size: 1477476
MD5sum: 68e1aef4aa661ae156ba4e7a61ab6e65
SHA1: 72cc4bcef121388f4ad7feb4aff85c2e5014f6f8
SHA256: 9000cd3a0d973a0f212671d467848d97919cb54899be51cabe006a171fd5e150
SHA512: 6720a1179126853e590917f1e5789d4a8348edf1f13d6d4ae8f6ccd91bc89b20644f5fb928a251cf07a4a0c5b243684cb2ce54a2aad89756c7df06f7d2fda721
Homepage: https://cran.r-project.org/package=ResultModelManager
Description: CRAN Package 'ResultModelManager' (Result Model Manager)
 Database data model management utilities for R packages in the Observational
 Health Data Sciences and Informatics program <https://ohdsi.org>.
 'ResultModelManager' provides utility functions to allow package maintainers
 to migrate existing SQL database models, export and import results in
 consistent patterns.

Package: r-cran-resumer
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-useful, r-cran-dplyr, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-resumer_0.0.5-1.ca2004.1_all.deb
Size: 37700
MD5sum: 451712c7eb30387f821d915c961346aa
SHA1: 896daa1fc83c47d4b8cd600e403db9f7dde24825
SHA256: 6e8b4d53beefc4f6aff3aac65b84a355c6b8788ba04940c8da5be3f788ec2104
SHA512: fdc8fd23b946c432a01913c194ca57e33adc5048f184f736b8825190bd7c25946efd7f0d919126e9eb7b7a4613348613100f313e4f8fd14c06a3497808b333bb
Homepage: https://cran.r-project.org/package=resumer
Description: CRAN Package 'resumer' (Build Resumes with R)
 Using a CSV, LaTeX and R to easily build attractive resumes.

Package: r-cran-resumir
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-resumir_1.0.2-1.ca2004.1_all.deb
Size: 32300
MD5sum: faadde756eacb073ff241e57126bee66
SHA1: 3ae4d7f8f2ad8b296222b37354806c098eeb0170
SHA256: 344a7260a1abf1ea8a331c114857db1b766529f1b6cb07679e7dcdd2d01bc336
SHA512: 973e11c6760ab1f02d307b39c71721a8a492596e477a1efa17b77b9b59ceadb9dee752098f1ab36d9bda5f3fc4ffaa58e495e8d3463f03f9db16ee5c5480ba5f
Homepage: https://cran.r-project.org/package=resumiR
Description: CRAN Package 'resumiR' (Medidas Resumen y Tablas de Frecuencia para Datos Numéricos /Summary Measures and Frequency Tables for Numerical Data)
 Permite obtener rápidamente una serie de medidas de resumen y gráficos para
 datos numéricos discretos o continuos en series simples. También permite
 obtener tablas de frecuencia clásicas y gráficos cuando se desea realizar un
 análisis de series agrupadas. Su objetivo es de aplicación didáctica para un
 curso introductorio de Bioestadística utilizando el software R, para las
 carreras de grado las carreras de grado y otras ofertas educativas de la
 Facultad de Ciencias Agrarias de la UNJu / It generates summary measures and
 graphs for discrete or continuous numerical data in simple series. It also
 enables the creation of classic frequency tables and graphs when analyzing
 grouped series. Its purpose is for educational application in an
 introductory Biostatistics course using the R software, aimed at
 undergraduate programs and other educational offerings of the Faculty of
 Agricultural Sciences at the National University of Jujuy (UNJu).

Package: r-cran-resurv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyverse, r-cran-dplyr, r-cran-dtplyr, r-cran-fastdummies, r-cran-forecast, r-cran-data.table, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-ggplot2, r-cran-survival, r-cran-reshape2, r-cran-bshazard, r-cran-synthetic, r-cran-rpart, r-cran-reticulate, r-cran-xgboost, r-cran-shapforxgboost
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-resurv_1.0.0-1.ca2004.1_all.deb
Size: 286048
MD5sum: 55d2cf532099bb24dbec04e6bf1bc9b8
SHA1: fc55c38da5b8a9933f664ea2522b1c24b09ef6a7
SHA256: f214d6a55ba01a9e29249ed095c842d75e7c63f5c0178649b59a271eede85808
SHA512: b72ecf950d6628b78d0a253ea6e1098dca79545c7c6cec80537346e749494e905c585d73e19b980265bf2ccf88200bfb3fa018daef699f74fa34be6056005b86
Homepage: https://cran.r-project.org/package=ReSurv
Description: CRAN Package 'ReSurv' (Machine Learning Models for Predicting Claim Counts)
 Prediction of claim counts using the feature based development factors
 introduced in the manuscript Hiabu M., Hofman E. and Pittarello G. (2023)
 <doi:10.48550/arXiv.2312.14549>.  Implementation of Neural Networks, Extreme
 Gradient Boosting, and Cox model with splines to optimise the partial
 log-likelihood of proportional hazard models.

Package: r-cran-retel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-matrix, r-cran-matrixcalc, r-cran-nloptr
Suggests: r-cran-melt, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-retel_0.1.0-1.ca2004.1_all.deb
Size: 31120
MD5sum: b0d1429fcc6c33b74f085ad0ac7e5daf
SHA1: 87aa3db07ac20f4ceacba0f6f562da7744132991
SHA256: d7e06bbf09e9a38f0e4689b350ec1dd771d5d86c631d3357f3f51d8b4ed9c7b1
SHA512: 823503ed7a0f9091ca169568ea6a94ecb39345fa0e57fe757620129d7464e3dcb1c3dabc55ed7192c09962d486544b661610bbc55590857b196cd33aa12591cc
Homepage: https://cran.r-project.org/package=retel
Description: CRAN Package 'retel' (Regularized Exponentially Tilted Empirical Likelihood)
 Implements the regularized exponentially tilted empirical likelihood method.
 Details of the methods are given in Kim, MacEachern, and Peruggia (2023)
 <doi:10.48550/arXiv.2312.17015>. This work was supported by the U.S.
 National Science Foundation under Grants No. SES-1921523 and DMS-2015552.

Package: r-cran-rethinker
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rethinker_1.1.0-1.ca2004.1_all.deb
Size: 53880
MD5sum: d90f37f33aca6b32c2125df1db87a115
SHA1: 00e12b0a9f036ec7dccdaa9fed0d26c269a22295
SHA256: c960b1b23c4ccc94d7483e4abfe46bd5f499cc37afe8bcfbe13185846a507e08
SHA512: dbb8abff2a51373a85fb47174822a00ca0108a1538f247f3d2e491c75086ad2442871407d8939c59c26a87bdc74702e190b9c13287b174ffd5b3369e27408af0
Homepage: https://cran.r-project.org/package=rethinker
Description: CRAN Package 'rethinker' (RethinkDB Client)
 Simple, native 'RethinkDB' client.

Package: r-cran-retimer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1392
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpraat, r-cran-purrr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-tuner, r-cran-ggplot2, r-cran-stringr, r-cran-signal, r-cran-gsignal, r-cran-seewave, r-cran-phontools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-retimer_0.1.3-1.ca2004.1_all.deb
Size: 1066960
MD5sum: d581771dc06b0b237a329fd1f5890d2e
SHA1: 683290525bc8b1f57a42c2a94894ffd16123fb1e
SHA256: 34e2e2fa7f860e1ce32ca78030dc447055ba1f39f26d47ddf620e533df280cb2
SHA512: 350801eb9b73d3563d335141ab501213a7d7967a66abb4b795a4d2e0a01f1771d3277051eff63074af51f36d904da02cb679d80b18cdc6ae9df05914582f366e
Homepage: https://cran.r-project.org/package=retimer
Description: CRAN Package 'retimer' (Retime and Analyse Speech Signals)
 Retime speech signals with a native Waveform Similarity Overlap-Add (WSOLA)
 implementation translated from the 'TSM toolbox' by Driedger & Müller (2014)
 <https://www.audiolabs-erlangen.de/content/resources/MIR/TSMtoolbox/2014_DriedgerMueller_TSM-Toolbox_DAFX.pdf>.
 Design retimings and pitch (f0) transformations with tidy data and apply
 them via 'Praat' interface. Produce spectrograms, spectra, and amplitude
 envelopes. Includes implementation of vocalic speech envelope analysis
 (fft_spectrum) technique and example data (mm1) from Tilsen, S., & Johnson,
 K. (2008) <doi:10.1121/1.2947626>.

Package: r-cran-retmort
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-patchwork, r-cran-readr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-retmort_1.0.0-1.ca2004.1_all.deb
Size: 71100
MD5sum: 741301c58214998a60d2e750c90c0e83
SHA1: 5ed2e709e07196336a6d26d7162066ce19dd59b8
SHA256: fea60fd68d01dc1645abcce6d2f4f01d204166a001ef867c92a4942e2352ef9f
SHA512: 91439ede8817bf1617a5707522250980888796f25ce02812368b28377914c454cb5b9760878221600196a7580ba0f4c3b4c6c9abc1d23727d05693c700761ab7
Homepage: https://cran.r-project.org/package=retmort
Description: CRAN Package 'retmort' (Estimate User-Based Tagging Mortality and Tag Loss inMark-Recapture Studies)
 We provide several avenues to predict and account for user-based mortality
 and tag loss during mark-recapture studies. When planning a study on a
 target species, the retentionmort_generation() function can be used to
 produce multiple synthetic mark-recapture datasets to anticipate the error
 associated with a planned field study to guide method development to reduce
 error. Similarly, if field data was already collected, the retentionmort()
 function can be used to predict the error from already generated data to
 adjust for user-based mortality and tag loss. The
 test_dataset_retentionmort() function will provide an example dataset of how
 data should be inputted into the function to run properly. Lastly, the
 retentionmort_figure() function can be used on any dataset generated from
 either model function to produce an 'rmarkdown' printout of preliminary
 analysis associated with the model, including summary statistics and
 figures. Methods and results pertaining to the formation of this package can
 be found in McCutcheon et al. (in review, "Predicting tagging-related
 mortality and tag loss during mark-recapture studies").

Package: r-cran-retractcheck
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1002
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-textreadr, r-cran-httr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-retractcheck_1.0.0-1.ca2004.1_all.deb
Size: 816572
MD5sum: 7c4a9f29e5daec7f7b54c3d2c446904f
SHA1: b9113bfdd1068714ae4428f19f75f4f0b1e15807
SHA256: c2580d80917ee83f0b31ac02aa3136002e0d81292303adc164dabf5b1c1748ef
SHA512: a1eed88386c58c60c08d59310a48e3b88745a6089ababd2b117b36cd791c9a124c7a3f31e36305e7ad85d03a3550ccb49d840c2655c1055a80c9e358124395c0
Homepage: https://cran.r-project.org/package=retractcheck
Description: CRAN Package 'retractcheck' (Retraction Scanner)
 Using 'Digital Object Identifiers', check for retracted (or otherwise
 updated) articles using 'Open Retractions' <http://openretractions.com>.

Package: r-cran-retriever
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2650
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-bioc-preprocesscore
Suggests: r-bioc-ccdata
Filename: pool/dists/focal/main/r-cran-retriever_0.2.1-1.ca2004.1_all.deb
Size: 1166916
MD5sum: 81b14afb5f3ce18790e59cc196426831
SHA1: d959c8f33ecd253a4dc65ab042303f02b97ba391
SHA256: 4baaf2a8a5b6fdd0441d5f73a3e0f84206536757d74d9830a8795716d89fc7fe
SHA512: e19a617a3f8bdb18009ee5bca89aba0cd6b20704f805dfaeec300a687fe7abc877c750f4a2e750c5ca084ccda8c44a2c01deb9d61bc8e9d88afb7a53f66074eb
Homepage: https://cran.r-project.org/package=retriever
Description: CRAN Package 'retriever' (Generate Disease-Specific Response Signatures from theLINCS-L1000 Data)
 Generates disease-specific drug-response profiles that are independent of
 time, concentration, and cell-line. Based on the cell lines used as
 surrogates, the returned profiles represent the unique transcriptional
 changes induced by a compound in a given disease.

Package: r-cran-retrodesign
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-retrodesign_0.2.2-1.ca2004.1_all.deb
Size: 72480
MD5sum: b969256a02d12589fbca72b1146f5b92
SHA1: 98b9267e032c9487bfcd9e226ad18fd593aea12f
SHA256: 392a226a2862c9483481fe487d49751045a99f1df28bca811ac4cbde391d9a8d
SHA512: 410f5ff87cdb768b988fb506783e5b5c1a9e1c094c92b2b48f894e7538cc7e85200c5416c90992bd62c30ce4091dac87cee14eaf70188e51ebea28826ded6baa
Homepage: https://cran.r-project.org/package=retrodesign
Description: CRAN Package 'retrodesign' (Tools for Type S (Sign) and Type M (Magnitude) Errors)
 Provides tools for working with Type S (Sign) and Type M (Magnitude) errors,
 as proposed in Gelman and Tuerlinckx (2000) <doi:10.1007/s001800000040> and
 Gelman & Carlin (2014) <doi:10.1177/1745691614551642>.  In addition to
 simply calculating the probability of Type S/M error, the package includes
 functions for calculating these errors across a variety of effect sizes for
 comparison, and recommended sample size given "tolerances" for Type S/M
 errors. To improve the speed of these calculations, closed forms solutions
 for the probability of a Type S/M error from Lu, Qiu, and Deng (2018)
 <doi:10.1111/bmsp.12132> are implemented. As of 1.0.0, this includes support
 only for simple research designs. See the package vignette for a fuller
 exposition on how Type S/M errors arise in research, and how to analyze them
 using the type of design analysis proposed in the above papers.

Package: r-cran-retroharmonize
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5707
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-haven, r-cran-here, r-cran-labelled, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-snakecase, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-png, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-retroharmonize_0.2.0-1.ca2004.1_all.deb
Size: 3645688
MD5sum: 9017856d09265f504f282e4f479be9c0
SHA1: 6fe6a6752d1167ba66f5fd75779398584c8fb82e
SHA256: 5207ee1517f64702dff1949460213f8a2346515cdd0b21545ce2d62d5d7c8714
SHA512: 6583f770940bde915b778e75fc06350234c5976bb1ffb0223c64f122dbc95e35aae2373ba0de4cff70d31cfe34a6475b995e60f2839686957990998c3274ca39
Homepage: https://cran.r-project.org/package=retroharmonize
Description: CRAN Package 'retroharmonize' (Ex Post Survey Data Harmonization)
 Assist in reproducible retrospective (ex-post) harmonization of data,
 particularly individual level survey data, by providing tools for organizing
 metadata, standardizing the coding of variables, and variable names and
 value labels, including missing values, and documenting the data
 transformations, with the help of comprehensive s3 classes.

Package: r-cran-retrosheet
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xml2, r-cran-stringi, r-cran-httr, r-cran-stringr, r-cran-rvest
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-retrosheet_1.1.6-1.ca2004.1_all.deb
Size: 40204
MD5sum: 478fb7f3bef843516614bdb26f9e4f4d
SHA1: 35f8daefdbb203bc3e4b6711b201dafb345b9dc3
SHA256: a64ebd544d60c7890942106915b762607c095661441a70c43f793eb41e78428f
SHA512: 07594b5932cf01ba8731d3b6769b84d2db6e4f679cd6f53e4adb3c7dcd7637d12865e5c7754c90bd20f443d6e5d9bd4c182f3725aadb423b692e421d36efca26
Homepage: https://cran.r-project.org/package=retrosheet
Description: CRAN Package 'retrosheet' (Import Professional Baseball Data from 'Retrosheet')
 A collection of tools to import and structure the (currently) single-season
 event, game-log, roster, and schedule data available from
 <https://www.retrosheet.org>.  In particular, the event (a.k.a.
 play-by-play) files can be especially difficult to parse.  This package does
 the parsing on those files, returning the requested data in the most
 practical R structure to use for sabermetric or other analyses.

Package: r-cran-retry
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-later
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-retry_0.1.1-1.ca2004.1_all.deb
Size: 21660
MD5sum: cf6ed6c0e9f101ea56979db950219302
SHA1: 423a9cfdd9caa7e13972d08ae57e7d762241d227
SHA256: 399c215d53925ef0cf2f6ac795d34a6e5fe619ee5e10067f34ed642f041071c9
SHA512: 3ff2b11b0b29119f8fd9dd5ae56d7957027baef6af4e8631ddcd9fbf12e2404300e137073e7232b6e99e1d39d65b6587db0fe1e532f0efd85ceceeb997512362
Homepage: https://cran.r-project.org/package=retry
Description: CRAN Package 'retry' (Repeated Evaluation)
 Provide simple mechanism to repeatedly evaluate an expression until either
 it succeeds or timeout exceeded. It is useful in situations that random
 failures could happen.

Package: r-cran-returncurves
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1558
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-evd, r-cran-ismev, r-cran-rdpack, r-cran-mathjaxr, r-cran-ggplot2, r-cran-gridextra, r-cran-shiny, r-cran-dt, r-cran-shinydashboard, r-cran-openair
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-returncurves_1.0.1-1.ca2004.1_all.deb
Size: 1415240
MD5sum: e51483b6b9f796739f3d41c648948e55
SHA1: b13d3597cbc84ab89ca391891d2799eb8bea9501
SHA256: d0002b610e5e505d039b5ac52d84bab4aec457a31a359c7a9e46c9b9bc70c1ad
SHA512: 57997fcf31fd502eefffebc615f54157e24f58e24ed154ff9457f1b34e71f77fd2cef2d9cb2595da6425b9c2526ffeda8c5c72b268f728566166c6f8deeee416
Homepage: https://cran.r-project.org/package=ReturnCurves
Description: CRAN Package 'ReturnCurves' (Estimation of Return Curves)
 Estimates the p-probability return curve proposed by Murphy-Barltrop et al.
 (2023) <doi:10.1002/env.2797>. Implements pointwise and smooth estimation of
 the angular dependence function introduced by Wadsworth and Tawn (2013)
 <doi:10.3150/12-BEJ471>.

Package: r-cran-reutils
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-jsonlite, r-cran-rcurl, r-cran-xml, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-reutils_0.2.3-1.ca2004.1_all.deb
Size: 372168
MD5sum: 87a49a56475a129475e267ae569826cb
SHA1: 0c2fa275b71d32c1a078d5a35b5e4c96822e3727
SHA256: 64da461ddfee8b7a1be6b93a7a44542ace971c435a4974d0c95b9178a66a5422
SHA512: 3746b69bc0fd252125ab6d4794007bc7a1a15c15fa3d626080aab11a0fb088364d1110cecbb1671cf8d6bfd50b412f5bb887b7a734cef1497339d207aea1107a
Homepage: https://cran.r-project.org/package=reutils
Description: CRAN Package 'reutils' (Talk to the NCBI EUtils)
 An interface to NCBI databases such as PubMed, GenBank, or GEO powered by
 the Entrez Programming Utilities (EUtils). The nine EUtils provide
 programmatic access to the NCBI Entrez query and database system for
 searching and retrieving biological data.

Package: r-cran-reval
Architecture: all
Version: 3.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-future, r-cran-furrr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-rivr
Filename: pool/dists/focal/main/r-cran-reval_3.1-0-1.ca2004.1_all.deb
Size: 40548
MD5sum: 0068e602c4a2980a62b9432b99b3fe7c
SHA1: e75dbe6b4a1eeb17bae548d3bd300ac6c3707125
SHA256: 312112f5b1ce43c4bc7c6f3e00c9a38884f29b8c8a96f5bc7c291f45c9b84a9c
SHA512: 31cdabdc30c409bff2da7dcf4fe099ebdd6edd94cc60a3b69008b22711051ecb960e2ff74305812cc64334bdc88e2f4e08a02e8242e52439dae18257ece7feda
Homepage: https://cran.r-project.org/package=reval
Description: CRAN Package 'reval' (Argument Table Generation for Sensitivity Analysis)
 Simplified scenario testing and sensitivity analysis, redesigned to use
 packages 'future' and 'furrr'. Provides functions for generating function
 argument sets using one-factor-at-a-time (OFAT) and (sampled) permutations.

Package: r-cran-revealjs
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5028
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-bslib, r-cran-testthat, r-cran-withr, r-cran-xfun, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-revealjs_0.10.0-1.ca2004.1_all.deb
Size: 1619752
MD5sum: 1b7b66c16bb8954896f7cf857db84150
SHA1: dca17c310678db63cd0e80d091c49dfe9fdfb623
SHA256: c9078c76196294b480b2d3560016caf612eb973e28258a89abc5182841a1a713
SHA512: 531b49f2c63b99cf00dd27f39b2d924acd103e2af9e088070c46fe6828953e2f15879bf9ab5c3ced1a7bc053372afbec08c57fa08a4d97d0f495c33bda8c55e5
Homepage: https://cran.r-project.org/package=revealjs
Description: CRAN Package 'revealjs' (R Markdown Format for 'reveal.js' Presentations)
 R Markdown format for 'reveal.js' presentations, a framework for easily
 creating beautiful presentations using HTML.

Package: r-cran-revecor
Architecture: all
Version: 0.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1624
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-igraph, r-cran-xml, r-cran-stringr, r-cran-magrittr, r-cran-gtools, r-cran-plyr, r-cran-purrr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-revecor_0.99.3-1.ca2004.1_all.deb
Size: 1187848
MD5sum: 4a68f887da20b29e39469dde5a4496dd
SHA1: a9dda0ff6030b3045500f3c6a28c2dbf03ba6ff7
SHA256: 8a85a8f84d0ca1fd30aad67926c5e22e8f81c0a030856fe4b3f77dd3dc25aa8a
SHA512: 001cc325b9122a55202d8abe2289cb196abf16933942b864e70b9dd3a1768471db93fcb79731864b9aacc2fd2399f874a8410b23381fb1fbeeb3e096ef22a7df
Homepage: https://cran.r-project.org/package=RevEcoR
Description: CRAN Package 'RevEcoR' (Reverse Ecology Analysis on Microbiome)
 An implementation of the reverse ecology framework. Reverse ecology refers
 to the use of genomics to study ecology with no a priori assumptions about
 the organism(s) under consideration, linking organisms to their environment.
 It allows researchers to reconstruct the metabolic networks and study the
 ecology of poorly characterized microbial species from their genomic
 information, and has substantial potentials for microbial community
 ecological analysis.

Package: r-cran-revenerar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-jsonlite, r-cran-purrr, r-cran-httr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-revenerar_1.0.1-1.ca2004.1_all.deb
Size: 62736
MD5sum: 4a3ea27e20d57dbdcbb54ffc32f3aaf5
SHA1: 976a91e631df393725dc3ef64cc51fc6a6ee7836
SHA256: 31a22b92f7f567e813aff25c4d7e8e8dd219a4ebe44c52ceb910a88ed2fe9a63
SHA512: 4793e55b832c8db01b1f657b3bc91ae89eb9019a9753061ce2db423d606903e8fdd2f37f9ebbd1c83f28a3682f9322f4b751f0ed1184dc31e20a061a96dd724b
Homepage: https://cran.r-project.org/package=reveneraR
Description: CRAN Package 'reveneraR' (Connect to Your 'Revenera' (Formerly 'Revulytics') Data)
 Facilitates making a connection to the 'Revenera' API and executing various
 queries. You can use it to get event data and metadata. The 'Revenera'
 documentation is available at <https://rui-api.redoc.ly/>. This package is
 not supported by 'Flexera' (owner of the software).

Package: r-cran-revengc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-mipfp, r-cran-dplyr, r-cran-truncdist
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-revengc_1.0.4-1.ca2004.1_all.deb
Size: 491388
MD5sum: 6a1b304dd4d91f4b6219c82536b1ce51
SHA1: 6b7da3f162c2149248c5cc6996905bb9f8757008
SHA256: 35e646d7801154d60e9c99c0f4d8492239e90fde1adb732bbc81a1fbfcae5906
SHA512: 21a92e2a66ff907551d93266001740395028dc4cc24cdfb4491fa718af42c46bfc8d723cf5518dff1fb5dda99f3bae8357149675998533b02af3dc4873067c32
Homepage: https://cran.r-project.org/package=revengc
Description: CRAN Package 'revengc' (Reverse Engineering Summarized Data)
 Decoupled (e.g. separate averages) and censored (e.g. > 100 species)
 variables are continually reported by many well-established organizations
 (e.g. World Health Organization (WHO), Centers for Disease Control and
 Prevention (CDC), World Bank, and various national censuses).  The challenge
 therefore is to infer what the original data could have been given
 summarized information.  We present an R package that reverse engineers
 decoupled and/or censored count data with two main functions.  The
 cnbinom.pars function estimates the average and dispersion parameter of a
 censored univariate frequency table.  The rec function reverse engineers
 summarized data into an uncensored bivariate table of probabilities.

Package: r-cran-reverser
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-boot.pval, r-cran-l1pack, r-cran-quantreg, r-cran-isotree, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-reverser_0.2-1.ca2004.1_all.deb
Size: 89544
MD5sum: 9b4ead43bc8fc6f7a0bca0b376d1146d
SHA1: 0d77fb5100eb044c78c4eaff2228d19c2842cdca
SHA256: 3542672078314696a5de030db4bb95f2553fce22a2d6fab0291201e4418f5d76
SHA512: 63994ab9b9c2399bb865fe640bf99e84931f88f5d231a21dec24c2dfbe1e4d60e39eb1d7dbae48abe2cadd7027593b9708924a3afc00439d9a0546426a0d4005
Homepage: https://cran.r-project.org/package=reverseR
Description: CRAN Package 'reverseR' (Linear Regression Stability to Significance Reversal)
 Tests linear regressions for significance reversal through
 leave-one(multiple)-out.

Package: r-cran-revert
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-iranges, r-bioc-genomicranges, r-bioc-biostrings, r-bioc-rsamtools, r-bioc-bsgenome, r-bioc-bsgenome.hsapiens.ucsc.hg38
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-futile.logger
Filename: pool/dists/focal/main/r-cran-revert_0.0.1-1.ca2004.1_all.deb
Size: 507540
MD5sum: 8089916d9c253110e2f0fbc858a6f3dc
SHA1: 2c8f5aa84f9c16d02950d1a394cf4dcd827bec9b
SHA256: 09ac26fa93f3a5662153015236fa1108c12a65152180b240945b7142a732cbeb
SHA512: 7edbf22e8f8e172af0ac65509eb7695c6466db74e3cba3332ce499ce9e6407324c34331be4d3282b5e91b7bee0b1ff3552dcbe95e69a6d0db0c7e3618ae35366
Homepage: https://cran.r-project.org/package=revert
Description: CRAN Package 'revert' (Reversion Mutation Identifier for Sequencing Data)
 A tool for detecting reversions for a given pathogenic mutation from
 next-generation DNA sequencing data. It analyses reads aligned to the locus
 of the pathogenic mutation and reports reversion events where secondary
 mutations have restored or undone the deleterious effect of the original
 pathogenic mutation, e.g., secondary indels complement to a frameshift
 pathogenic mutation converting the orignal frameshift mutation into inframe
 mutaions, deletions or SNVs that replaced the original pathogenic mutation
 restoring the open reading frame, SNVs changing the stop codon caused by the
 original nonsense SNV into an amino acid, etc.

Package: r-cran-revgadgets
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1830
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-phytools, r-cran-dplyr, r-bioc-ggtree, r-cran-tidytree, r-bioc-treeio, r-cran-ggplot2, r-cran-reshape, r-cran-tidyr, r-cran-tibble, r-cran-gginnards, r-cran-ggplotify, r-cran-ggpp, r-cran-ggimage, r-cran-png, r-cran-deeptime, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-phangorn
Filename: pool/dists/focal/main/r-cran-revgadgets_1.2.1-1.ca2004.1_all.deb
Size: 1065384
MD5sum: 281ee4e4229f00ad11817266ceb87062
SHA1: 3255270aa51e1d549873ad5a009992579fa35b65
SHA256: ad64dcd413caf7d641055cd1ebbd6f5e808f495d43798b51e23127fbcfc62bcd
SHA512: 737b3915e46423463a684f2df756c3050f3fe0cf80d2642cae05388bb2d0033bc348011ec76d62f1aa705ad98c360a688fe589c86a849893e4a03f5f84c7ce96
Homepage: https://cran.r-project.org/package=RevGadgets
Description: CRAN Package 'RevGadgets' (Visualization and Post-Processing of 'RevBayes' Analyses)
 Processes and visualizes the output of complex phylogenetic analyses from
 the 'RevBayes' phylogenetic graphical modeling software.

Package: r-cran-revgeo
Architecture: all
Version: 0.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-revgeo_0.15-1.ca2004.1_all.deb
Size: 20280
MD5sum: 96b98b2cba9a1c626d5d76def65c4c8f
SHA1: 2b09eab122b9e2007c467107f664f02964407414
SHA256: c196179e21c7a3abf579dff62683dc75913a6305eb96a1d92829586fc8bfa680
SHA512: 454fb88a1097dad091b257cf122a1cc3451627d0114e96c3c732030405c52e5ff43db1843ba8b5ced583334a5bc45cd55ac2340707cac9ec5c2d1a6297b706e4
Homepage: https://cran.r-project.org/package=revgeo
Description: CRAN Package 'revgeo' (Reverse Geocoding with the Photon Geocoder for OpenStreetMap,Google Maps, and Bing)
 Function revgeo() allows you to use the Photon geocoder for OpenStreetMap
 <http://photon.komoot.de>, Google Maps <http://maps.google.com>, and Bing
 <https://www.bingmapsportal.com> to reverse geocode coordinate pairs with
 minimal hassle.

Package: r-cran-reviewr
Architecture: all
Version: 2.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3306
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bigrquery, r-cran-config, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-dt, r-cran-gargle, r-cran-glue, r-cran-golem, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-redcapapi, r-cran-redcapr, r-cran-rlang, r-cran-rpostgres, r-cran-rsqlite, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinyjs, r-cran-shinywidgets, r-cran-snakecase, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-fs, r-cran-gt, r-cran-here, r-cran-htmltools, r-cran-knitr, r-cran-pkgload, r-cran-processx, r-cran-readr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-spelling, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-reviewr_2.3.10-1.ca2004.1_all.deb
Size: 2559272
MD5sum: c7ec6bc2b0baddc2ccecd3132e986215
SHA1: 594a640cbff730708a957e6633de51eadfd7cdcc
SHA256: 3492a6add08db37e5912a6b825db2605429eaf8336bd08b171dfdd52a35e9598
SHA512: ae34c4038e77fd597b568dc59e7abe6477f2224f9e39a5915fbbb52fb1aa000ddde0c9f72b9098012b8793f791bbdd5b15b5cbf463173d37ec18293dfb2bdce9
Homepage: https://cran.r-project.org/package=ReviewR
Description: CRAN Package 'ReviewR' (A Light-Weight, Portable Tool for Reviewing Individual PatientRecords)
 A portable Shiny tool to explore patient-level electronic health record data
 and perform chart review in a single integrated framework. This tool
 supports browsing clinical data in many different formats including multiple
 versions of the 'OMOP' common data model as well as the 'MIMIC-III' data
 model. In addition, chart review information is captured and stored securely
 via the Shiny interface in a 'REDCap' (Research Electronic Data Capture)
 project using the 'REDCap' API. See the 'ReviewR' website for additional
 information, documentation, and examples.

Package: r-cran-revise
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bookdown, r-cran-dplyr, r-cran-glue, r-cran-knitr, r-cran-papaja, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-stringr, r-cran-pdftools, r-cran-officer, r-cran-xml2, r-cran-worcs, r-cran-cli
Suggests: r-cran-googledrive, r-cran-docxtractr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-revise_0.1.0-1.ca2004.1_all.deb
Size: 130228
MD5sum: 80434d3e75098ed46e7fa900467cac79
SHA1: e020eedbcc1ab331c95496bb68e184cc6ba8f7c3
SHA256: 340aa8272ad7d822fb607b722c8d874c8aa1dce673d3baf85e77db0e6116fe43
SHA512: ee76af680a832d1820b4533206759a3877d6257d1645b08dafcbffabef189f1d7e9497056e84632e3d7c15fd2a7ed27a99336b8cba10b0a83ad5ee872dea9128
Homepage: https://cran.r-project.org/package=revise
Description: CRAN Package 'revise' (Dynamic Revision Letters for 'Rmarkdown' Manuscripts)
 Extracts tagged text from markdown manuscripts for inclusion in dynamically
 generated revision letters. Provides an R markdown template based on
 papaja::revision_letter_pdf() with comment cross-referencing, a system for
 managing multiple sections of extracted text, and a way to automatically
 determine the page number of quoted sections from PDF manuscripts.

Package: r-cran-revpref
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-revpref_0.1.0-1.ca2004.1_all.deb
Size: 67176
MD5sum: 6a57efc5b234af4cfe1205a3ff5eb9bb
SHA1: 898c746a487035b67fb1cdf2c9e864f0f35642d1
SHA256: 427b0a68afe59d7e2d735ec28c8f6e91d7a8654553820777c64086161b3f3ea6
SHA512: 5d41d977a55222cb7c0d48a8b774d10730253132daace604bcc1fd11ddf4d5f5275b1cf0241e347f245b91f851425d3032e4221e479250f5561c619fd7343f27
Homepage: https://cran.r-project.org/package=revpref
Description: CRAN Package 'revpref' (Tools for Computational Revealed Preference Analysis)
 Tools to (i) check consistency of a finite set of consumer demand
 observations with a number of revealed preference axioms at a given
 efficiency level, (ii) compute goodness-of-fit indices when the data do not
 obey the axioms, and (iii) compute power against uniformly random behavior.

Package: r-cran-revsd
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-revsd_0.1.1-1.ca2004.1_all.deb
Size: 25088
MD5sum: 9f7c3293aba8097d393c48e16ee1efa8
SHA1: 5372d41b1f5a7ad84ab80c9017df70a6453a2134
SHA256: 0e88fde6b94bdeb90694077200ed8b27ce9a121a90141f550b14a895218004d3
SHA512: 575802f5bad5c260b738e382eee39105d7250cdf8154e9a09e54e7a4f80d1a1e342b49af085fc7e0860062d00eab4b60135d4a676426ea8dc59c730f3857323b
Homepage: https://cran.r-project.org/package=RevSD
Description: CRAN Package 'RevSD' (Visualizing the Standard Deviation via Revolution)
 We visualize the standard deviation of a data set as the radius of a
 cylinder whose volume equals the total volume of several cylinders made by
 revolving the empirical cumulative distribution function about the vertical
 line through the mean. For more details see Sarkar and Rashid (2016)
 <doi:10.1080/00031305.2016.1165734>.

Package: r-cran-revss
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-revss_2.0.0-1.ca2004.1_all.deb
Size: 30788
MD5sum: aa0c5e25813c9a68550b75d7e0cb9807
SHA1: 09275903296e95e8439e236ed6336013cc9a94c1
SHA256: 5c24393c7bce40851f44358812b83871d285a2ccb7e63234cc4fea6d881d478e
SHA512: 6a0b38d6ffd56d2c921f82a681696c6d0d875eba96ed1f1cfb08b5ab8fe470390de01f72386fb693d8724601d4c0a51e466b29b7a42230d43d96c09b6f271256
Homepage: https://cran.r-project.org/package=revss
Description: CRAN Package 'revss' (Robust Estimation in Very Small Samples)
 Implements the estimation techniques described in Rousseeuw & Verboven
 (2002) <doi:10.1016/S0167-9473(02)00078-6> for the location and scale of
 very small samples.

Package: r-cran-revticulate
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-stringr, r-cran-knitr, r-cran-comprehenr, r-cran-jsonlite, r-cran-usethis, r-cran-rstudioapi
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-revticulate_1.0.0-1.ca2004.1_all.deb
Size: 56588
MD5sum: 1d51124af7fd6b4d315e46c0ec67d993
SHA1: 14e404e46457d6edd63279b24f14f10f2d6c6835
SHA256: eb6e00591fc2cd9b56d3063aaea4fef09ab6416e76a5b4b04692f2acf1e92bc7
SHA512: 085cabd2f60b163f420a956069209c9745180f12f2481881fe2d4e806f389bcb1657a3da176ec628ae800585ba274dfcc4a8bca535459b06f9e9883211c95445
Homepage: https://cran.r-project.org/package=Revticulate
Description: CRAN Package 'Revticulate' (Interaction with "RevBayes" in R)
 Interaction with "RevBayes" via R. Objects created in "RevBayes" can be
 passed into the R environment, and many types can be converted into similar
 R objects. To download "RevBayes", go to
 <https://revbayes.github.io/download>.

Package: r-cran-revtools
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ade4, r-cran-modeltools, r-cran-ngram, r-cran-plotly, r-cran-slam, r-cran-shiny, r-cran-shinydashboard, r-cran-snowballc, r-cran-stringdist, r-cran-tm, r-cran-topicmodels, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-revtools_0.4.1-1.ca2004.1_all.deb
Size: 401668
MD5sum: cc00a3ba0d6965901e136a548096ca94
SHA1: abbc627faa6eb7265520bb7de35acaac2be7eab2
SHA256: 769a27a42907af144d1284ad5d867408c2ac7b3107f548a46cafba1b782f6829
SHA512: 8675d19e739eae2e67b4ea926a28ab2cef116432e107289cd94a17d9a9f5228be18b53cd7afdb9cf7676137da3da6bd2b9a3bbf7a12173f5a0e91a8caf415bbe
Homepage: https://cran.r-project.org/package=revtools
Description: CRAN Package 'revtools' (Tools to Support Evidence Synthesis)
 Researchers commonly need to summarize scientific information, a process
 known as 'evidence synthesis'. The first stage of a synthesis process (such
 as a systematic review or meta-analysis) is to download a list of references
 from academic search engines such as 'Web of Knowledge' or 'Scopus'. The
 traditional approach to systematic review is then to sort these data
 manually, first by locating and removing duplicated entries, and then
 screening to remove irrelevant content by viewing titles and abstracts (in
 that order). 'revtools' provides interfaces for each of these tasks. An
 alternative approach, however, is to draw on tools from machine learning to
 visualise patterns in the corpus. In this case, you can use 'revtools' to
 render ordinations of text drawn from article titles, keywords and
 abstracts, and interactively select or exclude individual references, words
 or topics.

Package: r-cran-revulyticsr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-jsonlite, r-cran-purrr, r-cran-httr, r-cran-tidyselect, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-revulyticsr_0.0.3-1.ca2004.1_all.deb
Size: 62360
MD5sum: 043565b2cf525a589ce3e56fb501f664
SHA1: 2c1ece4a4504a3553fdeca59d460665a8688c6a6
SHA256: 187f8173fb52c2c806d2647759ba7a8b34c27d59a6335f217082fd972965143f
SHA512: a8e906290bed11092aa8316d8bde1f84bf29dd74c3627c0a11daf28d523ef5e004b3c01072b2b9e88186dad307a6c870f09231891f1f17577a152e0e3cb8f51d
Homepage: https://cran.r-project.org/package=revulyticsR
Description: CRAN Package 'revulyticsR' (Connect to Your 'Revulytics' Data)
 Facilitates making a connection to the 'Revulytics' API and executing
 various queries. You can use it to get event data and metadata. The
 Revulytics documentation is available at
 <https://docs.revenera.com/ui560/report/>. This package is not supported by
 'Flexera' (owner of the software).

Package: r-cran-reweight
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-reweight_1.2.1-1.ca2004.1_all.deb
Size: 108936
MD5sum: 8f74cc9c84748bca5ce0ffd745ad17a6
SHA1: 0461546ababb3b7c4654f9aa1dfdc3f2804fe43f
SHA256: 34d1f5cb8a3ad757732b222386a7c26ef1f32cb02834e4f69b39cc4a6e49f66a
SHA512: 2c7e3a43919d2462e2fd812a90ecb91d0d32cdd9f83cb5a03f538597c1e65adf26298be61644452066d9bf812b1d529ca0d2bc736a94e270f67d4f816f0c382e
Homepage: https://cran.r-project.org/package=reweight
Description: CRAN Package 'reweight' (Adjustment of Survey Respondent Weights)
 Adjusts the weights of survey respondents so that the marginal distributions
 of certain variables fit more closely to those from a more precise source
 (e.g. Census Bureau's data).

Package: r-cran-rewie
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rockchalk, r-cran-lme4, r-cran-mass, r-cran-plm
Filename: pool/dists/focal/main/r-cran-rewie_0.1.0-1.ca2004.1_all.deb
Size: 29380
MD5sum: 5d199e8245830c46b77b858eb9729fd1
SHA1: 3bb0183078f158092e509f6f9920e4bcf59b5461
SHA256: 03637e500a68fd5f6f4769514c9fe898ec209a343cc227c96c93bab7194f046b
SHA512: b19082a4644ab5418bb929846018a4517e0bd9387497386d0926e4d413546fd33d2eb95ad9c36fbdc3fa2b713b3eab1cd68f0562b1a262ac61d02c7f244b6a36
Homepage: https://cran.r-project.org/package=rewie
Description: CRAN Package 'rewie' (Data Preparation and Diagnostics for Random Effects WithinEstimator)
 Diagnostics and data preparation for random effects within estimator, random
 effects within-idiosyncratic estimator, between-within-idiosyncratic model,
 and cross-classified between model.  Mundlak, Yair (1978)
 <doi:10.2307/1913646>.  Hausman, Jeffrey (1978) <doi:10.2307/1913827>.
 Allison, Paul (2009) <doi:10.4135/9781412993869>.  Neuhaus, J.M., and J. D.
 Kalbfleisch (1998) <doi:10.2307/3109770>.

Package: r-cran-rex
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lazyeval
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-hmisc, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rvest, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rex_1.2.1-1.ca2004.1_all.deb
Size: 113224
MD5sum: 46369f766c2846552585978a9e2e8f4f
SHA1: d1516f37d170ee4937d31c59d5300dcead8e14b4
SHA256: 4e7c5bdb5a61a0e54886e1f136d758b5bf074e248d99f40dda7ce4bb24ce73f6
SHA512: 89925a0d73aca40e0c3945717d8b8ca13cd5acc1f31144971eac9bd5311f95289abee7306e21895b442fa5e81ae4ec68171178ac8177fd02666bc858b7c1ed3c
Homepage: https://cran.r-project.org/package=rex
Description: CRAN Package 'rex' (Friendly Regular Expressions)
 A friendly interface for the construction of regular expressions.

Package: r-cran-rexer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1080
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr, r-cran-readxl, r-cran-rmarkdown, r-cran-snakecase, r-cran-stringr, r-cran-tidyr, r-cran-xlsx
Suggests: r-cran-knitr, r-cran-pander, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rexer_1.0.0-1.ca2004.1_all.deb
Size: 803604
MD5sum: 1f17bd20e61d668bf4540bba3a4a2c39
SHA1: 20bae3113dca1b5b4e8d312e81fe2ea7b2b44d08
SHA256: f673fca1dc304856e8d7b886124aeaa89a8d9c624097f5d9cdcb0936a5c28e60
SHA512: 82602cb3bdda78f7f793777a83a8e46e404d982cb98e72920e73306c4474a2076d03e8b2bef11e46c1671596c421018c6a7e384737f2242731f727d570631197
Homepage: https://cran.r-project.org/package=rexer
Description: CRAN Package 'rexer' (Random Exercises and Exams Generator)
 The main purpose of this package is to streamline the generation of exams
 that include random elements in exercises.  Exercises can be defined in a
 table, based on text and figures, and may contain gaps to be filled with
 provided options. Exam documents can be generated in various formats. It
 allows us to generate a version for conducting the assessment and another
 version that facilitates correction, linked through a code.

Package: r-cran-rextendr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-brio, r-cran-callr, r-cran-cli, r-cran-desc, r-cran-dplyr, r-cran-glue, r-cran-jsonlite, r-cran-pkgbuild, r-cran-processx, r-cran-rlang, r-cran-rprojroot, r-cran-stringi, r-cran-vctrs, r-cran-withr
Suggests: r-cran-devtools, r-cran-rcmdcheck, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-rextendr_0.4.1-1.ca2004.1_all.deb
Size: 441372
MD5sum: 0987f5969b4c51b2b77dda830a1f0e42
SHA1: 0323830751123e4edfdcfe17af3e7a440fb25c47
SHA256: 1e2955121e6d00dd574410964166698459b82b9b10749b24b1334ecab0224d3b
SHA512: 31f4114e8d36492d0e404cf8aa11984ea435af4324a8b5a8e91e80fd3af49ba64040e4609e7dd4e9e7614fffa97230162ee80b83fc85458e3c3f5cb37e316e33
Homepage: https://cran.r-project.org/package=rextendr
Description: CRAN Package 'rextendr' (Call Rust Code from R using the 'extendr' Crate)
 Provides functions to compile and load Rust code from R, similar to how
 'Rcpp' or 'cpp11' allow easy interfacing with C++ code. Also provides helper
 functions to create R packages that use Rust code. Under the hood, the Rust
 crate 'extendr' is used to do all the heavy lifting.

Package: r-cran-rfacebook
Architecture: all
Version: 0.6.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rjson, r-cran-httpuv
Filename: pool/dists/focal/main/r-cran-rfacebook_0.6.15-1.ca2004.1_all.deb
Size: 146192
MD5sum: ba5637d055111021d926c6af3f90d3ad
SHA1: 2d8202e2951adeff3e85295568e65d37b5565f48
SHA256: 2a843a4afdd3255466785cc0fc8eaa4b964033ff0867e6c937b554769e27caee
SHA512: a917b8eedad72c2a881dd3f5a0a7c6127ae821dd8fe40b2f8ede3862ae9fbf9ff10711729ff2f64a28224c9fb8fd06456098242b40cb398384b597a3e5c4064a
Homepage: https://cran.r-project.org/package=Rfacebook
Description: CRAN Package 'Rfacebook' (Access to Facebook API via R)
 Provides an interface to the Facebook API.

Package: r-cran-rfacebookstat
Architecture: all
Version: 2.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-tidyselect, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfacebookstat_2.12.0-1.ca2004.1_all.deb
Size: 450544
MD5sum: b8e3ad045ab651c92f3bd54295816376
SHA1: cd35926817fc8a7f984cbb0549b6fc9bb8da50b3
SHA256: 48a39160792ff4450496be727aa6b94bd79d970f00a1915068a9e34c0adb474f
SHA512: 0ee579fe30510acb1fa334abb3f2bbbb86d7bf20372139508de9969831d126cd850dfd51ab81de4c331c6b9bf32dc286e767bd1bb7712444113f41030ecf671d
Homepage: https://cran.r-project.org/package=rfacebookstat
Description: CRAN Package 'rfacebookstat' (Load Data from Facebook API Marketing)
 Load data by campaigns, ads, ad sets and insights, ad account and business
 manager from Facebook Marketing API into R. For more details see official
 documents by Facebook Marketing API
 <https://developers.facebook.com/docs/marketing-apis/>.

Package: r-cran-rfacts
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-digest, r-cran-fs, r-cran-tibble, r-cran-xml2
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rfacts_0.2.1-1.ca2004.1_all.deb
Size: 169468
MD5sum: e64e17e453aac299c9005cec061378fd
SHA1: 860551ff223e2240cd2416e6b2c808ebe43ff0ca
SHA256: 1bf2b28bb5df6efc0e37f6a10fa81d53527a27a8bd72ea3d1a5f05f3cabec2aa
SHA512: 3b8c5a2486225bfabdb6515b4ffb9c86cf973e1d95c7d7f4c3ffb0f5e6209ee8d324fa3b9fe2ab72d7f8dd9911bb4c6eb0792f4e142bef18309613b43bccb1cf
Homepage: https://cran.r-project.org/package=rfacts
Description: CRAN Package 'rfacts' (R Interface to 'FACTS' on Unix-Like Systems)
 The 'rfacts' package is an R interface to the Fixed and Adaptive Clinical
 Trial Simulator ('FACTS') on Unix-like systems. It programmatically invokes
 'FACTS' to run clinical trial simulations, and it aggregates simulation
 output data into tidy data frames. These capabilities provide end-to-end
 automation for large-scale simulation pipelines, and they enhance
 computational reproducibility.  For more information on 'FACTS' itself,
 please visit <https://www.berryconsultants.com/software/>.

Package: r-cran-rfars
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3862
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-downloader, r-cran-dplyr, r-cran-haven, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sas7bdat, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet, r-cran-leaflet.extras, r-cran-ggplot2, r-cran-scales, r-cran-stargazer, r-cran-viridis, r-cran-rbenchmark, r-cran-openxlsx, r-cran-lme4, r-cran-tidyverse, r-cran-tidytext
Filename: pool/dists/focal/main/r-cran-rfars_1.2.0-1.ca2004.1_all.deb
Size: 2154516
MD5sum: 8ab143e7680fe742517b664c2d123675
SHA1: 6952791a2ccd3a41d22647c1f83147998f73d065
SHA256: 5363d23f83000f8c80c49af44d7f06e28be4daf5cf2d1788e0d799ac2babc2de
SHA512: 6f816416d039f9890391385ce68a7e3389da2edaa4c4448ac4050a0d6c2ddc6d843417cc5c018ccaab2c831faa48be5c564abe87e1c2c9e8ce51a2a237e14190
Homepage: https://cran.r-project.org/package=rfars
Description: CRAN Package 'rfars' (Download and Analyze Crash Data)
 Download crash data from the National Highway Traffic Safety Administration
 and prepare it for research.

Package: r-cran-rfclust
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1763
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-consensusclusterplus, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-rfclust_0.1.2-1.ca2004.1_all.deb
Size: 1771624
MD5sum: 46e6f2c2ff1818f9340cc506adfbcc26
SHA1: a1c8743e32e33afd0fee35e495d6f3280adc1e69
SHA256: 5c669d70bbfd3517a08ba94afb9894c447a66b1ab6d6b4c5ca52b4d8ed994835
SHA512: ce47feb236aef3e30fa4a0e7c88f1d3a8988505c3d75ee9b4ac03903b680c08b379f8b122e4df8d993ca166d16073a0f716e900fa6a14b0f1393428fb63b5947
Homepage: https://cran.r-project.org/package=RFclust
Description: CRAN Package 'RFclust' (Random Forest Cluster Analysis)
 Tools to perform random forest consensus clustering of different data types.
 The package is designed to accept a list of matrices from different assays,
 typically from high-throughput molecular profiling so that class discovery
 may be jointly performed. For references, please see Tao Shi & Steve Horvath
 (2006) <doi:10.1198/106186006X94072> & Monti et al (2003)
 <doi:10.1023/A:1023949509487> .

Package: r-cran-rfdsn
Architecture: all
Version: 0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-rfdsn_0.0.0-1.ca2004.1_all.deb
Size: 39180
MD5sum: ddf20632808e32a9cc2beba1c2474a21
SHA1: 6b93d989b1f7c5b1ab7148390f406fb20a2fd694
SHA256: f9299cd3dae7dc88a3da152e4f980e7813c38921168871c220a1f91352b844fe
SHA512: b839be069cb6b781c8091732958ba909479c68185d16430bb891a1f8a144ea2f93bed24d57bf26f1beee3b68effadc27c9bb7737bf3a4c6e41db50b6d8748a2b
Homepage: https://cran.r-project.org/package=rFDSN
Description: CRAN Package 'rFDSN' (Get Seismic Data from the International Federation of DigitalSeismograph Networks)
 This package facilitates searching for and downloading seismic time series
 in miniSEED format (a minimalist version of the Standard for the Exchange of
 Earthquake Data) from International Federation of Digital Seismograph
 Networks repositories. This package can also be used to gather information
 about seismic networks (stations, channels, locations, etc) and find
 historical earthquake data (origins, magnitudes, etc).

Package: r-cran-rfempimp
Architecture: all
Version: 2.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mice, r-cran-ranger
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfempimp_2.1.8-1.ca2004.1_all.deb
Size: 205508
MD5sum: 3c5b7d0625fca65260b72a884998af6e
SHA1: 2ab3d9c7d36dc1b43d4ddbb72535999f8ac770d6
SHA256: 337e5daae55fc56ace8404cf59fa043316157f5f7e284aacdbe411f8984f1b5a
SHA512: 6d96a5ac85e332b7b54ea753c14f7ecdaf82ab940dd328a5885ea48062219ee77094ed5b511f7080030a222c235557c11e56dd5c199daae558255c6fe742443a
Homepage: https://cran.r-project.org/package=RfEmpImp
Description: CRAN Package 'RfEmpImp' (Multiple Imputation using Chained Random Forests)
 An R package for multiple imputation using chained random forests.
 Implemented methods can handle missing data in mixed types of variables by
 using prediction-based or node-based conditional distributions constructed
 using random forests. For prediction-based imputation, the method based on
 the empirical distribution of out-of-bag prediction errors of random forests
 and the method based on normality assumption for prediction errors of random
 forests are provided for imputing continuous variables. And the method based
 on predicted probabilities is provided for imputing categorical variables.
 For node-based imputation, the method based on the conditional distribution
 formed by the predicting nodes of random forests, and the method based on
 proximity measures of random forests are provided. More details of the
 statistical methods can be found in Hong et al. (2020) <arXiv:2004.14823>.

Package: r-cran-rfgls
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bdsmatrix, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rfgls_1.1-1.ca2004.1_all.deb
Size: 230552
MD5sum: 159c19efe2e91e3da59808ed80e42d08
SHA1: a6edb86d5324c3dff2f35f8e7cc9d3d6fcb95795
SHA256: a25159d292866f807476778f8cd207923cd25fc16fd087258e7ac30390733c81
SHA512: 0da5584fb288af82e06fc01612f7c4a32bd5ae40432dd82298c15ca045d2a35d6de2f8a1c9c0016fde37455b2d89c67e0eecfd5262dfbcd3a7c91ba117c88a89
Homepage: https://cran.r-project.org/package=RFGLS
Description: CRAN Package 'RFGLS' (Rapid Feasible Generalized Least Squares)
 RFGLS uses a generalized least-squares method to perform single-marker
 association analysis, in datasets of nuclear families containing parents,
 twins, and/or adoptees

Package: r-cran-rfia
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dtplyr, r-cran-tidyr, r-cran-stringr, r-cran-sf, r-cran-data.table, r-cran-bit64, r-cran-tidyselect, r-cran-rlang, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gganimate, r-cran-r2jags, r-cran-coda, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfia_1.1.1-1.ca2004.1_all.deb
Size: 7357724
MD5sum: 7cb24ef20dbb376f2122347ecaf5fd4a
SHA1: 854418b0756d74144b1c54372e0d58d8529f48c3
SHA256: 40fdb31f5519b1c756fe0e20489182dd18a4705bbbe0f0a40ee1fe5a6012df71
SHA512: ef1cf51448587e524252fd6b02af3ba60cfbed662b204ddca1552d818f40295fe1de615af1e2c002787f2348f723fb3285bc71c711dbf638d5161c62e8341c74
Homepage: https://cran.r-project.org/package=rFIA
Description: CRAN Package 'rFIA' (Estimation of Forest Variables using the FIA Database)
 The goal of 'rFIA' is to increase the accessibility and use of the United
 States Forest Services (USFS) Forest Inventory and Analysis (FIA) Database
 by providing a user-friendly, open source toolkit to easily query and
 analyze FIA Data. Designed to accommodate a wide range of potential user
 objectives, 'rFIA' simplifies the estimation of forest variables from the
 FIA Database and allows all R users (experts and newcomers alike) to unlock
 the flexibility inherent to the Enhanced FIA design. Specifically, 'rFIA'
 improves accessibility to the spatial-temporal estimation capacity of the
 FIA Database by producing space-time indexed summaries of forest variables
 within user-defined population boundaries. Direct integration with other
 popular R packages (e.g., 'dplyr', 'tidyr', and 'sf') facilitates efficient
 space-time query and data summary, and supports common data representations
 and API design. The package implements design-based estimation procedures
 outlined by Bechtold & Patterson (2005) <doi:10.2737/SRS-GTR-80>, and has
 been validated against estimates and sampling errors produced by FIA
 'EVALIDator'. Current development is focused on the implementation of
 spatially-enabled model-assisted and model-based estimators to improve
 population, change, and ratio estimates.

Package: r-cran-rfieldclimate
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfieldclimate_0.1.1-1.ca2004.1_all.deb
Size: 30880
MD5sum: 5fe6defd5536e0545de01533a077affb
SHA1: 6ef06a59f34c3c9d0c7a7b46e6d071a0e46724ea
SHA256: 5d665ab76b2dd7c4ebbd04e86c6d31eddee6aad448fe6aaa429bb4bc1c4e08d2
SHA512: 876cad1d27d059d5738c421baef0ad8662de97e13dbe67be395b01e7267565efe20981dc417af5dfbb1fb3fafd7c3b3061c295bfc95e212495c2a0a90c06d975
Homepage: https://cran.r-project.org/package=rfieldclimate
Description: CRAN Package 'rfieldclimate' (Client for the 'FieldClimate' API)
 Provides functionality to interact with the 'FieldClimate' API
 <https://api.fieldclimate.com/v2/docs/>.

Package: r-cran-rfigshare
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1031
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjsonio, r-cran-httr, r-cran-httpuv, r-cran-yaml, r-cran-ggplot2, r-cran-xml
Suggests: r-cran-testthat, r-cran-gdata, r-cran-uuid, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfigshare_0.3.8-1.ca2004.1_all.deb
Size: 898012
MD5sum: f38977b7dd7dc30cc6739fc20e1facb5
SHA1: d0bc0f481eb97be155f03bc449f5233517177714
SHA256: d08f510198b68d56d238852b5d834186f40b1314ded5a4aa0354875fad1c0ef9
SHA512: 5ef3892c1a0c4f56b23ec5b8143ff4e4d222a590f52e53a9c048b7aac2426edb9177f66ab1d35e37f31b239d1cf38befe4e74606410959fa27d477eb83be1c68
Homepage: https://cran.r-project.org/package=rfigshare
Description: CRAN Package 'rfigshare' (An R Interface to 'figshare')
 An R interface to 'figshare'.

Package: r-cran-rfinance
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-stringr, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-tibble, r-cran-curl, r-cran-xts, r-cran-ttr, r-cran-xml2, r-cran-rvest, r-cran-data.table, r-cran-janitor, r-cran-cli, r-cran-performanceanalytics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfinance_0.1.0-1.ca2004.1_all.deb
Size: 320788
MD5sum: 588093e6c21924519ef83d24a97a836a
SHA1: 3b5e9f4ecc9ee6943521259c7f428955746a96fe
SHA256: 1816033442943fb613fa16e2258026a7d985f27dba0f8338f87d6c762c706159
SHA512: 00f25c5d32966816104b37c5355fb9b4e41106fe3d95eac608eadbf7bac87990e3a087fccc5c23a6689f1ef57616c08028ad5aea836bacf9747627820dff0232
Homepage: https://cran.r-project.org/package=rfinance
Description: CRAN Package 'rfinance' (Set of Tools for Financial Analysis)
 From downloading financial data to perform industry-standard analysis, this
 package includes a suit of tools to perform financial analysis following
 best practices of the industry.

Package: r-cran-rfinterval
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfinterval_1.0.0-1.ca2004.1_all.deb
Size: 136064
MD5sum: b2add06a27ddb744f731807f22efce64
SHA1: aa9d6ed8eac48b2b6ac3de7f9a97ba7af38ddbc4
SHA256: e3af4ddd748b39aa32f40cc80edfbc2147b160bd7aae221f23057a0c9ed4a08c
SHA512: fe5c7fbed7c21ece3fe7ee4e89914cbd2dcb8c98d2ad9d3e1e414a3cfc1fc634d17c122291817df29a7aff65cacf045eb5260d2e692afcf38865e5e93b40f48f
Homepage: https://cran.r-project.org/package=rfinterval
Description: CRAN Package 'rfinterval' (Predictive Inference for Random Forests)
 An integrated package for constructing random forest prediction intervals
 using a fast implementation package 'ranger'. This package can apply the
 following three methods described in Haozhe Zhang, Joshua Zimmerman, Dan
 Nettleton, and Daniel J. Nordman (2019) <doi:10.1080/00031305.2019.1585288>:
 the out-of-bag prediction interval, the split conformal method, and the
 quantile regression forest.

Package: r-cran-rfishbase
Architecture: all
Version: 5.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2029
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-stringr, r-cran-purrr, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-duckdbfs, r-cran-rlang, r-cran-magrittr, r-cran-memoise
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-spelling, r-cran-curl
Filename: pool/dists/focal/main/r-cran-rfishbase_5.0.1-1.ca2004.1_all.deb
Size: 556600
MD5sum: 0f33289160342ab811cdcba01d6df15d
SHA1: ef86d42a9597e0636cdf3e72dda362d8ada1cb7d
SHA256: 6d8506518e1f7463701b8977d4451a03f5f37083d4cfde61b6c21759bbcba2aa
SHA512: 80b53116024051e7ef4411f6d66363adf5b929beeb2ba5798a7ca3fa023eacccf1df6ba1f2c513de4f6c7d50e9c42b3bf063970daf50bc5f29cadc56de9f3fbb
Homepage: https://cran.r-project.org/package=rfishbase
Description: CRAN Package 'rfishbase' (R Interface to 'FishBase')
 A programmatic interface to 'FishBase', re-written based on an accompanying
 'RESTful' API. Access tables describing over 30,000 species of fish, their
 biology, ecology, morphology, and more. This package also supports
 experimental access to 'SeaLifeBase' data, which contains nearly 200,000
 species records for all types of aquatic life not covered by 'FishBase.'

Package: r-cran-rfishbc
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-clisymbols, r-cran-crayon, r-cran-readbitmap, r-cran-rlang, r-cran-settings, r-cran-stringr, r-cran-tidyr, r-cran-withr
Suggests: r-cran-fsa, r-cran-covr, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfishbc_0.2.7-1.ca2004.1_all.deb
Size: 189952
MD5sum: ea56cd40b1f3b6ea690ff979055931bc
SHA1: a0e630f55718eccf27cab640feec095d506aadd6
SHA256: c11866049cff417a5f7610ab19ecc115057d9222ce3c5232dc1292ec699ad706
SHA512: 934a63f161c8f6acd666a4cdeb85b48774086c35149c074debd5ec7ca216eb5511d9fc448e9307011ef7ad431568d6faa7de7d189e52db349eb9574c1721ec63
Homepage: https://cran.r-project.org/package=RFishBC
Description: CRAN Package 'RFishBC' (Back-Calculation of Fish Length)
 Helps fisheries scientists collect measurements from calcified structures
 and back-calculate estimated lengths at previous ages using standard
 procedures and models. This is intended to replace much of the functionality
 provided by the now out-dated 'fishBC' software
 (<https://fisheries.org/bookstore/all-titles/software/70317/>).

Package: r-cran-rfishdraw
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1503
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-prettydoc, r-cran-patchwork, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rfishdraw_0.1.0-1.ca2004.1_all.deb
Size: 674232
MD5sum: 0a94c219fa8cd7fa4e7a46975072a0ff
SHA1: 4d1f8ab01478e48a4381e5cef98916604557338e
SHA256: 530e523da4585cfb8ca52f49f7a7613d921d26c65f8b80b1708d49f0ebae5805
SHA512: 94060724ea585b2ed5fbb5cf21f9ce8943640334ce78d80f8afc681228cb3fcb3f25c151095029bdb8278a238256648691ef696e98d24a2465f9767e5e3bc800
Homepage: https://cran.r-project.org/package=rfishdraw
Description: CRAN Package 'rfishdraw' (Automatically Generated Fish Drawings via JavaScript)
 Automatic generation of fish drawings based on JavaScript library
 <https://github.com/LingDong-/fishdraw>, including JavaScript code for
 dynamic generation of fish drawings.

Package: r-cran-rfisheries
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-data.table, r-cran-assertthat, r-cran-ggplot2, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-rfisheries_0.2-1.ca2004.1_all.deb
Size: 251040
MD5sum: b6fff69f1f0eb1e4b5c84c02d67a5f3b
SHA1: 79787713577b3b34e71ae603d805832952b26cff
SHA256: 05c31c9506cc875f8919e0b4036b2a70352caa1a1578f69edd337c78521e0970
SHA512: 0d02437ccfaa8f8b60d95b84b0c44c9cd45415abf8cb9558d5194eb19d0157aaa4759100fea029d55464394d5c0666bcd43eaafae3ed22a548f04bee5c40514f
Homepage: https://cran.r-project.org/package=rfisheries
Description: CRAN Package 'rfisheries' ('Programmatic Interface to the 'openfisheries.org' API')
 A programmatic interface to 'openfisheries.org'. This package is part of the
 'rOpenSci' suite (http://ropensci.org).

Package: r-cran-rfishnet2
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 885
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-pracma, r-cran-ggplot2, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rfishnet2_0.2.0-1.ca2004.1_all.deb
Size: 868888
MD5sum: 2dd106b24e35e2f38963d8b746cded8f
SHA1: d599a42c2fe01e80a94996b1e8748d5660b272fc
SHA256: 8a00b1a3c82b836f911968228132938c83eff22294e7739176804a49815c085d
SHA512: 654ead56ebfaffef768b273e13a685eea0f8c4d56f1a48ecc77c0b67a65fd81d71480cef521189d710ef0760c6e969ca1cdd8418eb88c78a2f8122396a563b19
Homepage: https://cran.r-project.org/package=rfishnet2
Description: CRAN Package 'rfishnet2' (Exploratory Data Analysis for FishNet2 Data)
 Provides data processing and summarization of data from FishNet2.net in text
 and graphical outputs. Allows efficient filtering of information and data
 cleaning.

Package: r-cran-rflocalfdr.data
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 13419
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rflocalfdr.data_0.0.3-1.ca2004.1_all.deb
Size: 13707256
MD5sum: bf8711c3632c87dadb4081400e8923fb
SHA1: 2b6fcdd7488fa7e75f8b0c0d16d9935c3783cfcc
SHA256: da112b26fb69229c45d5a051781007ee6bd667d7de78717aad5449b1d781cc80
SHA512: 8e020c57182227d52c66752bfe820c4a0b24fb33cf575fe83f5fa7bb6ed4fd6725963b9f23556eee302e725085606298bf078ef81e153e8d720d51e5f7a91579
Homepage: https://cran.r-project.org/package=RFlocalfdr.data
Description: CRAN Package 'RFlocalfdr.data' (Data for the Vignette and Examples in 'RFlocalfdr')
 Data for the vignette and examples in 'RFlocalfdr'. Contains a dataset of
 1103547 importance values, and the table of variables used in the random
 forest splits. The data is Chromosome 22 taken from Auton et al.  (2015)
 <doi:10.1038/nature15393>. It also contains a 51 samples by 22283 genes data
 set taken from Spira et al. (2004) <doi:10.1165/rcmb.2004-0273OC>.

Package: r-cran-rflocalfdr
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 676
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm, r-cran-sn, r-cran-fitdistrplus, r-cran-ranger, r-cran-randomforest
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-rflocalfdr.data, r-cran-vita
Filename: pool/dists/focal/main/r-cran-rflocalfdr_0.9-1.ca2004.1_all.deb
Size: 405984
MD5sum: 0d5b1d2e2977ac9483b94fa145d9b482
SHA1: 51a63c926e2edb9d651b6a1386563498595ac21e
SHA256: 595524d5a6890f253d2f7b9c9fb079b284fd817c32936776061bec49f78c9ae4
SHA512: bb738d5e81db040c240e2de7ac8d71788af3d7b6a57f9e758ecaa60802b5180e7d4423ed31dfbf76ac645af1002ea009b75fae8f2f8223d7955833ed1a9f572d
Homepage: https://cran.r-project.org/package=RFlocalfdr
Description: CRAN Package 'RFlocalfdr' (Significance Level for Random Forest Impurity Importance Scores)
 Sets a significance level for Random Forest MDI (Mean Decrease in Impurity,
 Gini or sum of squares) variable importance scores, using an empirical Bayes
 approach.  See Dunne et al. (2022) <doi:10.1101/2022.04.06.487300>.

Package: r-cran-rflptools
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 986
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-mkomics
Filename: pool/dists/focal/main/r-cran-rflptools_2.0-1.ca2004.1_all.deb
Size: 505524
MD5sum: d5b812041648dac496016f027908c5a0
SHA1: a2f9567ce42a47ecd3d83779ab540f3f4932cd09
SHA256: c68cd921fc5158dddf03feadd7db73c640e81c91af338f80ca081534fa6036a9
SHA512: c4ce7713f889c2e070a28335b7cc0e96db080e7dac845b1c4a0c107b7d6b586275dbe464929b487245a9b23dc6c79d917fa0adbd4d20a5b6bcf7b690cf2c4e6e
Homepage: https://cran.r-project.org/package=RFLPtools
Description: CRAN Package 'RFLPtools' (Tools to Analyse RFLP Data)
 Provides functions to analyse DNA fragment samples (i.e. derived from
 RFLP-analysis) and standalone BLAST report files (i.e. DNA sequence
 analysis).

Package: r-cran-rflsgen
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4748
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava, r-cran-terra, r-cran-jsonlite, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-landscapemetrics
Filename: pool/dists/focal/main/r-cran-rflsgen_1.2.2-1.ca2004.1_all.deb
Size: 4350920
MD5sum: 23960fcb51a18045dfe24d96d05ccf2a
SHA1: 9046c8b42aeb73a0cac4f79d07c9799d8ec30740
SHA256: 47119a9ce56a17c06d05893f78ac847b99aa9da1c04840b4b9aa3ec8ac09a03c
SHA512: 859e2a9dda23c22d804e7b2c6ba0e901c07672eda1128cfe8e94de3194ad64102d2f98d70a44f6b6908a3c786a02f187633d05223f26b8ea570c0b7445eea502
Homepage: https://cran.r-project.org/package=rflsgen
Description: CRAN Package 'rflsgen' (Neutral Landscape Generator with Targets on Landscape Indices)
 Interface to the 'flsgen' neutral landscape generator
 <https://github.com/dimitri-justeau/flsgen>. It allows to - Generate fractal
 terrain; - Generate landscape structures satisfying user targets over
 landscape indices; - Generate landscape raster from landscape structures.

Package: r-cran-rfm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1535
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-scales, r-cran-treemapify, r-cran-xplorerr
Suggests: r-cran-cli, r-cran-covr, r-cran-dt, r-cran-gganimate, r-cran-gifski, r-cran-kableextra, r-cran-knitr, r-cran-png, r-cran-plotly, r-cran-rmarkdown, r-cran-rmdformats, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rfm_0.3.0-1.ca2004.1_all.deb
Size: 1451036
MD5sum: dc12c268ed495779b8c6b33eb63bdde7
SHA1: 54b01f948e797ad65c6845e63d924cfaf81f50a8
SHA256: 29889825eaa31d4e38fc8896da99a21efbe9f368ce35cb8cc1d72d714849a54c
SHA512: fc9a18cc909b94f99451d6a9b0131b22924dddb2df6dad492a13c28b43de13b96900ba7cf0316ff9d8477abcf74f49c8d157ebfcdc7a0358deefad44411e2123
Homepage: https://cran.r-project.org/package=rfm
Description: CRAN Package 'rfm' (Recency, Frequency and Monetary Value Analysis)
 Tools for RFM (recency, frequency and monetary value) analysis.  Generate
 RFM score from both transaction and customer level data. Visualize the
 relationship between recency, frequency and monetary value using heatmap,
 histograms, bar charts and scatter plots. Includes a 'shiny' app for
 interactive segmentation. References: i. Blattberg R.C., Kim BD., Neslin S.A
 (2008) <doi:10.1007/978-0-387-72579-6_12>.

Package: r-cran-rfmerge
Architecture: all
Version: 0.1-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1971
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-randomforest, r-cran-zoo, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-rfmerge_0.1-10-1.ca2004.1_all.deb
Size: 1856776
MD5sum: 383250e733164af934e3ad390747731d
SHA1: 5c464d87b36de8c619dfb4bf43a30978bd503918
SHA256: d79f10b2646e46c67e4d8d7b83fe28bfcc5af8411b630ba332d9afa8e114a300
SHA512: 00e25382ef587f8cc3f89cf901f411ff9068ea853ae06e3ca3cdf04a330bb61fa4d2df1ab63552caeaa457928973c02b80705f5a7a89ef50f8a0cad437ff50f0
Homepage: https://cran.r-project.org/package=RFmerge
Description: CRAN Package 'RFmerge' (Merging of Satellite Datasets with Ground Observations usingRandom Forests)
 S3 implementation of the Random Forest MErging Procedure (RF-MEP), which
 combines two or more satellite-based datasets (e.g., precipitation products,
 topography) with ground observations to produce a new dataset with improved
 spatio-temporal distribution of the target field. In particular, this
 package was developed to merge different Satellite-based Rainfall Estimates
 (SREs) with measurements from rain gauges, in order to obtain a new
 precipitation dataset where the time series in the rain gauges are used to
 correct different types of errors present in the SREs. However, this package
 might be used to merge other hydrological/environmental satellite fields
 with point observations. For details, see Baez-Villanueva et al. (2020)
 <doi:10.1016/j.rse.2019.111606>. Bugs / comments / questions / collaboration
 of any kind are very welcomed.

Package: r-cran-rfoaas
Architecture: all
Version: 2.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rfoaas_2.3.2-1.ca2004.1_all.deb
Size: 49464
MD5sum: b99354d5c4448852248173204630da0f
SHA1: 5ba9a0f77645bc3a5eb0292de34151c536d2730d
SHA256: 9df1ddf634cc22b9e1ca76f95d9dab638b17958b6f317606a4c59d3947f6c177
SHA512: c366eb740472bce2d837076ebc8523e8736ef91ac18bc1fde3dac41bbca1062a6f44c8a25f1efb85132fbbe44f8dbf5defb7ef6ba6caa0437866938f5de2a516
Homepage: https://cran.r-project.org/package=rfoaas
Description: CRAN Package 'rfoaas' (R Interface to 'FOAAS')
 R access to the 'FOAAS' (F... Off As A Service) web service is provided.

Package: r-cran-rfoc
Architecture: all
Version: 3.4-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpmg, r-cran-geomap, r-cran-rseis, r-cran-mass, r-cran-fields
Filename: pool/dists/focal/main/r-cran-rfoc_3.4-10-1.ca2004.1_all.deb
Size: 631032
MD5sum: d42d2a11f8ed3ccce046586d9db11825
SHA1: 52971e531b5d1b5b9d520c686b35dbeb4de0a132
SHA256: 25148ae6f504d688d6c3654f8d27723616833f012f1108db091ee8149d23c35b
SHA512: 8ecba92f077c9fe0d249c706bbba92fb7f95b4a9b7d4d11840f44c749549cb9bd9322f27296d03fd4a44fe9d033c84cd06e651b2dbd5fbf3fc2900d9c8c79c45
Homepage: https://cran.r-project.org/package=RFOC
Description: CRAN Package 'RFOC' (Graphics for Spherical Distributions and Earthquake FocalMechanisms)
 Graphics for statistics on a sphere, as applied to geological fault data,
 crystallography, earthquake focal mechanisms, radiation patterns, ternary
 plots and geographical/geological maps.  Non-double couple plotting of focal
 spheres and source type maps are included for statistical analysis of moment
 tensors.

Package: r-cran-rfocal
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rfocal_1.0-1.ca2004.1_all.deb
Size: 59216
MD5sum: a8076efbf82dd58eefd5be45e61d5804
SHA1: 690d94d3bd8285ef112e20ecb437966cbb08ce98
SHA256: df859f353c6847997480a93d85e331772a148eaf36211918d16985500b112046
SHA512: 30f5f13b8b37825f020428ca4a785c423e15e1e1a63022ee02ca6a05fa470e8a2a8ed82c9938f77f2b45897c5b183435b55c67a73aabc1ca2fea10a70ab78949
Homepage: https://cran.r-project.org/package=rFocal
Description: CRAN Package 'rFocal' (Run 'FOCAL' Language Source Code)
 Execute 'FOCAL'
 (<https://en.wikipedia.org/wiki/FOCAL_(programming_language)>) source code
 directly in 'R'. This is achieved by translating 'FOCAL' code into
 equivalent 'R' commands and controlling the sequence of execution.

Package: r-cran-rfold
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-glue, r-cran-here, r-cran-usethis
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rfold_0.2.0-1.ca2004.1_all.deb
Size: 59696
MD5sum: e7e3af224cd6fe9fd2caa07e13ea6e79
SHA1: 5ab58b76cf49fcfa306c999f449972e56ee50ed0
SHA256: 57bfa6407d5265a6ffe4f06a7264f7a0027750a59ea192179354424db34cd8c1
SHA512: bfb2bc1fef42dfe3419082f590ea66af6725a0d1a27935cdb441492f07ef5282ac01dc616cae3a32913846a651f0b7fa1e74d2005e7c488a2486280c23c2bbe3
Homepage: https://cran.r-project.org/package=rfold
Description: CRAN Package 'rfold' (Working with many R Folders Within an R Package)
 Allows developers to work with many R folders inside a package. It offers
 functionalities to transfer R scripts (saved outside the R folder) into the
 R folder while making additional checks.

Package: r-cran-rfolding
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfolding_1.0-1.ca2004.1_all.deb
Size: 119820
MD5sum: b89101d88423f4124b1905cdaa7ee8d3
SHA1: 730a21fdb45a8c7ab5f26c268789149377f67f47
SHA256: 6e8938b53ba9d0c5ae20e1fcbfbdbc52448fa94d065cc97e0f3aaf8089e25c87
SHA512: 799eff592efa84b5079ed9b4eb27bade1c90a427cc42204f4ec818a1a64623aef03c8d7ceb94d796a143384c60a4f734d4c9d6757efd3f0fa2f054458319bb69
Homepage: https://cran.r-project.org/package=Rfolding
Description: CRAN Package 'Rfolding' (The Folding Test of Unimodality)
 The basic algorithm to perform the folding test of unimodality.  Given a
 dataset X (d dimensional, n samples), the test checks whether the
 distribution of the data are rather unimodal or rather multimodal. This
 package stems from the following research publication: Siffer Alban,
 Pierre-Alain Fouque, Alexandre Termier, and Christine Largouët.  "Are your
 data gathered?" In Proceedings of the 24th ACM SIGKDD International
 Conference on Knowledge Discovery Data Mining, pp. 2210-2218. ACM, 2018.
 <doi:10.1145/3219819.3219994>.

Package: r-cran-rfordummies
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1201
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-fortunes, r-cran-stringr, r-cran-sos, r-cran-reshape2, r-cran-ggplot2, r-cran-foreign, r-cran-lattice, r-cran-covr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rfordummies_0.1.6-1.ca2004.1_all.deb
Size: 429240
MD5sum: 254adc4ef46cc5e5697656d67f12e1d0
SHA1: d9ba655d589e58da055bb5d0e31e548d3591419f
SHA256: aaaba8b2cf81325d104ce26d71af49b9a23852fcc807ec20ca2bfa0725b2e5ed
SHA512: 4905988a3a49d480c89693076d3c4274d309a16c716e98c1e2a48c202a9c104f6194012a65537a362bf4ab868c42fe2a6b4f63a6a5d03386be102ec3d0c8f151
Homepage: https://cran.r-project.org/package=rfordummies
Description: CRAN Package 'rfordummies' (Code Examples to Accompany the Book "R for Dummies")
 Contains all the code examples in the book "R for Dummies" (2nd edition) by
 Andrie de Vries and Joris Meys. You can view the table of contents as well
 as the sample code for each chapter.

Package: r-cran-rforest
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alphashape3d, r-cran-geometry, r-cran-rgl, r-cran-sp
Filename: pool/dists/focal/main/r-cran-rforest_0.1.4-1.ca2004.1_all.deb
Size: 30168
MD5sum: dc488f07c4aa9d71043fd7b6075f577d
SHA1: 39ca792933bd74a2fef1ff115253384195899e86
SHA256: d5a41b5cacd481d2f1b4cebfcec72945261439ffb0f02ed9d98368b1c3c0a873
SHA512: d1494d07c8e350ef2893115bc69bed9cd9eed3c561c0e689d9838ed6c257d05d843882441abc96e80a01af386cdfdcc7b02ebe193a423d8ed0228c973c331473
Homepage: https://cran.r-project.org/package=rForest
Description: CRAN Package 'rForest' (Forest Inventory and Analysis)
 Set of tools designed for forest inventory analysis.

Package: r-cran-rformatter
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formatr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rformatter_0.1.1-1.ca2004.1_all.deb
Size: 19544
MD5sum: 6c8d73fe9530703e6ae7355e7b893d32
SHA1: 5d169060c3d681b9e25deff076bfbe7918a453bd
SHA256: 66e79e42e6e40913ebd6165879554f110dba9bf035a9f3c8e03e2cf641c580b3
SHA512: 7283aac15adf4aa75f1229fbb49130376197651441ebc95e9e4dafa42e04c3f5f9500f4620f94f310933b9697f3a21b32323709562238756b5a8891031808b92
Homepage: https://cran.r-project.org/package=RFormatter
Description: CRAN Package 'RFormatter' (R Source Code Formatter)
 The R Formatter formats R source code. It is very much based on formatR, but
 tries to improve it by heuristics. For example, spaces can be forced around
 the division operator "/".

Package: r-cran-rfpermute
Architecture: all
Version: 2.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3327
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-randomforest, r-cran-rlang, r-cran-scales, r-cran-swfscmisc, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rfpermute_2.5.5-1.ca2004.1_all.deb
Size: 1716276
MD5sum: ec5fb80504dc54fdf09eb714c7090ae9
SHA1: 6c56f00146923cbeb738abc0a8fcf94190ed0a12
SHA256: 1317b0ff7569d8a7ede5b509474e65554e4beef513be09826e2c1aae0e3039b8
SHA512: 71b42dce0477b8535b4e419708208488c5199adcb41139f433faca574099251539848ca6be92414202fa4b78b2b71a33f594144358c1fa433036b815e8dd522e
Homepage: https://cran.r-project.org/package=rfPermute
Description: CRAN Package 'rfPermute' (Estimate Permutation p-Values for Random Forest ImportanceMetrics)
 Estimate significance of importance metrics for a Random Forest model by
 permuting the response variable. Produces null distribution of importance
 metrics for each predictor variable and p-value of observed. Provides
 summary and visualization functions for 'randomForest' results.

Package: r-cran-rfplus
Architecture: all
Version: 1.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 500
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-randomforest, r-cran-data.table, r-cran-pbapply, r-cran-qmap, r-cran-hydrogof
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rfplus_1.5-4-1.ca2004.1_all.deb
Size: 350728
MD5sum: f28599c2568f4d4cb769a4aaef950f7f
SHA1: b483d9642006320b5bd1130aa5afe5c332c80e6a
SHA256: f6659a158129fee7b637dbc30c9d38857ca376b9d2c3e5ee54119852a6795dfd
SHA512: 6ab11709fdbca2c862e9683390a8d5c771a52a4e2feef387561789875a121912bc04b5a56e37685b28c0c931395d3a5b24d5c51d1720afe578d2439477e5eeca
Homepage: https://cran.r-project.org/package=RFplus
Description: CRAN Package 'RFplus' (Machine Learning for Merging Satellite and Ground PrecipitationData)
 A machine learning algorithm that merges satellite and ground precipitation
 data using Random Forest for spatial prediction, residual modeling for bias
 correction, and quantile mapping for adjustment, ensuring accurate estimates
 across temporal scales and regions.

Package: r-cran-rfpm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-lawstat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfpm_1.1-1.ca2004.1_all.deb
Size: 246544
MD5sum: aedfd6499df1149a11b7b48f952b1d7e
SHA1: 7700696d9ab7c9ae1f30e320c3158f61a3d9352f
SHA256: 9a1560e3341805d373c19d4aea329427a4e5d5a9f38504c3750c11d0d6e2aa27
SHA512: e3bb7dac7d7e8e1f85173b1ee009e7434fb8ffd3da5d02ab8eb44ff3700991f5a8a626a810549b0106cc4945c7753c95c05d9aa477b43f1320c20c71ca50f6ab
Homepage: https://cran.r-project.org/package=RFPM
Description: CRAN Package 'RFPM' (Floating Percentile Model)
 Floating Percentile Model with additional functions for optimizing inputs
 and evaluating outputs and assumptions.

Package: r-cran-rfractran
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-rfractran_1.0.1-1.ca2004.1_all.deb
Size: 27088
MD5sum: f47230472a88d4490cc0e6434ab0fddc
SHA1: c949203f83bd3b292c9d24ec51dc427cc217dde9
SHA256: 429dfc8407d248eab8d4704a538ce82b41231ef1d3045f5f00d5e3303455a8cf
SHA512: 263cb0b33e335b931152fca7d9728d16e3c59672d6fe23b7097dad6d8ef1b99842222b8f5e03f516a1fa3c7b0e091575ac5dd85fa9a3d0dc3c9e2570fc25c9a8
Homepage: https://cran.r-project.org/package=Rfractran
Description: CRAN Package 'Rfractran' (A 'FRACTRAN' Interpreter and Some Helper Functions)
 'FRACTRAN' is an obscure yet tantalizing programming language invented by
 John Conway of 'Game of Life' fame. The code consists of a sequence of
 fractions. The rules are simple. First, select an integer to initialize the
 process. Second, multiply the integer by the first fraction. If an integer
 results, start again with the new integer. If not, try the next fraction.
 Finally, if no such multiplication yields an integer, terminate the program.
 For more information, see <https://en.wikipedia.org/wiki/FRACTRAN> .

Package: r-cran-rfreak
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5933
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rfreak_0.3-0-1.ca2004.1_all.deb
Size: 5345908
MD5sum: ccd09d6a4a301c8503fd0fe67da94cce
SHA1: fb14c97156f106136d10c91858e9a95cef7a08ec
SHA256: 706a572b47ced496b8d504c7aabe68d3fae5330caff734db094a519c55345227
SHA512: b2953c5a95d81be73b38823355f781acfd484ab2c7563b2f20b8f012f01561f34bb8b7112bf13f3d43e9e7891ce53c7f1047bd1e6182e5ffb68bec4ed5e3a24c
Homepage: https://cran.r-project.org/package=RFreak
Description: CRAN Package 'RFreak' (R/FrEAK interface)
 An R interface to a modified version of the Free Evolutionary Algorithm Kit
 FrEAK. FrEAK is a toolkit written in Java to design and analyze evolutionary
 algorithms. Both the R interface and an extended version of FrEAK are
 contained in the RFreak package. For more information on FrEAK see
 http://sourceforge.net/projects/freak427/.

Package: r-cran-rfsa
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-rpref, r-cran-tidyr, r-cran-hash
Filename: pool/dists/focal/main/r-cran-rfsa_0.9.6-1.ca2004.1_all.deb
Size: 92360
MD5sum: 8b23641aae723874beb65126b9089abe
SHA1: 3ba4fa82fd7cacb76d477196c915d08f1a7011df
SHA256: fde1c24f35159ee887905e39c3429da53aa80c9329bf7fac92bc62bbb7372d4c
SHA512: 8aec613934f95fc25fdb5c94fab66c0be89f25c8214c4a334ac8dd49a2faa29806719b572d491f315517626b4d6922129b68b3397390f8149595daa99f145b44
Homepage: https://cran.r-project.org/package=rFSA
Description: CRAN Package 'rFSA' (Feasible Solution Algorithm for Finding Best Subsets andInteractions)
 Assists in statistical model building to find optimal and semi-optimal
 higher order interactions and best subsets. Uses the lm(), glm(), and other
 R functions to fit models generated from a feasible solution algorithm.
 Discussed in Subset Selection in Regression, A Miller (2002). Applied and
 explained for least median of squares in Hawkins (1993)
 <doi:10.1016/0167-9473(93)90246-P>. The feasible solution algorithm comes up
 with model forms of a specific type that can have fixed variables, higher
 order interactions and their lower order terms.

Package: r-cran-rfutilities
Architecture: all
Version: 2.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-rfutilities_2.1-5-1.ca2004.1_all.deb
Size: 224800
MD5sum: 22dd65af0810d9e24731c91aafcb71b1
SHA1: 79393689fdfedf3071b8b52260943e22b1da4a1d
SHA256: 653b7ac539d187a87c6f36b9a82deec310f92b9a1ac184d6a50dc387734e4b70
SHA512: be10cfb0a611cb7ac6682398459795eccc47904ac2c50abe462a4c39f3a9b75c848409d3fa309861eb74b761562a0e0fd335cf968215fb318a3fcaa545248bbc
Homepage: https://cran.r-project.org/package=rfUtilities
Description: CRAN Package 'rfUtilities' (Random Forests Model Selection and Performance Evaluation)
 Utilities for Random Forest model selection, class balance correction,
 significance test, cross validation and partial dependency plots.

Package: r-cran-rfvarimpoob
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-randomforest, r-cran-ggplot2, r-cran-ggpubr, r-cran-dplyr, r-cran-titanic, r-cran-magrittr, r-cran-ranger
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rfvarimpoob_1.0.3-1.ca2004.1_all.deb
Size: 153996
MD5sum: 1931a7f12125460c145a4803281076af
SHA1: 66286bbedf6ecf54475902ced4cc34744cc2fdde
SHA256: df4296d3f7209b7cc4de80136ac15b7dc1255a25eabe549f0a2a5b5349bb9111
SHA512: bffc111130c8ac6a8a9157014d822383e8747f2bd173a2deaddfce183e7a559c809c6ecd3cbbef494335c2b887e779769c623d08ec68345a6557d8718dc99d10
Homepage: https://cran.r-project.org/package=rfVarImpOOB
Description: CRAN Package 'rfVarImpOOB' (Unbiased Variable Importance for Random Forests)
 Computes a novel variable importance for random forests: Impurity reduction
 importance scores for out-of-bag (OOB) data complementing the existing inbag
 Gini importance, see also <doi: 10.1080/03610926.2020.1764042>.  The Gini
 impurities for inbag and OOB data are combined in three different ways,
 after which the information gain is computed at each split.  This gain is
 aggregated for each split variable in a tree and averaged across trees.

Package: r-cran-rfvimptest
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-party, r-cran-ranger, r-cran-permimp
Filename: pool/dists/focal/main/r-cran-rfvimptest_0.1.4-1.ca2004.1_all.deb
Size: 72456
MD5sum: 1716bfffac78a1b6f1fec07ce9c0c05c
SHA1: cacc4208a0ceeb426f6d3274f893f53268becec4
SHA256: 22bf3c0466ca650459358ef761eeba1134479aaa03d30175b84cb68f5ea8379c
SHA512: ce01b1299bbf8589e6c30206286e47aa095bc2e0a73c9479723e37182723ed8ca1f3cee8b4c43ec287eb2c8959c9d71b23dc4869344527ffffd10a40e2dfe45f
Homepage: https://cran.r-project.org/package=rfvimptest
Description: CRAN Package 'rfvimptest' (Sequential Permutation Testing of Random Forest VariableImportance Measures)
 Sequential permutation testing for statistical significance of predictors in
 random forests and other prediction methods.  The main function of the
 package is rfvimptest(), which allows to test for the statistical
 significance of predictors in random forests using different (sequential)
 permutation test strategies [1]. The advantage of sequential over
 conventional permutation tests is that they are computationally considerably
 less intensive, as the sequential procedure is stopped as soon as there is
 sufficient evidence for either the null or the alternative hypothesis.
 Reference: [1] Hapfelmeier, A., Hornung, R. & Haller, B. (2023) Efficient
 permutation testing of variable importance measures by the example of random
 forests.  Computational Statistics & Data Analysis 181:107689,
 <doi:10.1016/j.csda.2022.107689>.

Package: r-cran-rfviz
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-loon
Filename: pool/dists/focal/main/r-cran-rfviz_1.0.1-1.ca2004.1_all.deb
Size: 33760
MD5sum: e6be4c0a068670cbff957ca0efcd7b9a
SHA1: cdd689da303e37649c59433d4a4ae45777854fd7
SHA256: 1964736eca8005f2f40a287bcda631ea1d3286219d19e5d895d9ab18e2e96940
SHA512: 7f06af6349fe9e6073c530ef4665f3971294273719479460ad523a8e3ba75306fb9c95a2d034f3571fc12fd862b8e65558f560a76b9d14e9b8ff11c90a1c4fb3
Homepage: https://cran.r-project.org/package=rfviz
Description: CRAN Package 'rfviz' (Interactive Visualization Tool for Random Forests)
 An interactive data visualization and exploration toolkit that implements
 Breiman and Cutler's original random forest Java based visualization tools
 in R, for supervised and unsupervised classification and regression within
 the algorithm random forest.

Package: r-cran-rga4gh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rga4gh_0.1.1-1.ca2004.1_all.deb
Size: 97848
MD5sum: 1e13df33a69a24d0369d26c58678cda1
SHA1: 54ed44e0e7338d9a71cede80156e8b2fc8d7f459
SHA256: 406a6ff94469cdc090803da94eeedcce3616f754c0bf85034fdd4d41360f3174
SHA512: 5133373be1bbe075147cb7e3488a4e06e5ba2e067146c989d51df41219cb43e397031cd8e7bd1795725ba2c041e819f78944204cd4a2d2bd832796e4cf56955b
Homepage: https://cran.r-project.org/package=Rga4gh
Description: CRAN Package 'Rga4gh' (An Interface to the GA4GH API)
 An Interface to the GA4GH API that allows users to easily GET responses and
 POST requests to GA4GH Servers. See <http://ga4gh.org> for more information
 about the GA4GH project.

Package: r-cran-rga
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-plyr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-rga_0.4.2-1.ca2004.1_all.deb
Size: 226776
MD5sum: 84b5fe6f3e25c7ad06a55ab1caac0532
SHA1: e9aae0e27d04d5937604874e3155375ea4983585
SHA256: 19c314f1a1a59adbb017be7e11fb36f8122bab9895078e92740761918a6444d9
SHA512: 643f6692cb060d25a3545f1a145ba791225d9bc1f9dd2f8060bd029cdf551ace30165764eede5a9d8b4171a425638bf1fe951af70aee7d9e7bac2aef68c934c9
Homepage: https://cran.r-project.org/package=RGA
Description: CRAN Package 'RGA' (A Google Analytics API Client)
 Provides functions for accessing and retrieving data from the Google
 Analytics APIs (https://developers.google.com/analytics/). Supports OAuth
 2.0 authorization. Package provides access to the Management, Core
 Reporting, Multi-Channel Funnels Reporting, Real Time Reporting and Metadata
 APIs. Access to all the Google Analytics accounts which the user has access
 to. Auto-pagination to return more than 10,000 rows of the results by
 combining multiple data requests. Also package provides shiny app to explore
 the core reporting API dimensions and metrics.

Package: r-cran-rgabriel
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rgabriel_0.9-1.ca2004.1_all.deb
Size: 19968
MD5sum: 17b3760ac57ff377b6bdd4d9ad35119e
SHA1: a924d04957fabd1eded63c36786bf9eee7b89a22
SHA256: e010fe5ad9c581e2bb45e64b396766553ea847514d3c8aa32e902818c839da5c
SHA512: 2744796536d36d27698d362edf61bdf5ea90f3b5ea64c8190ad9f299fc6a3c48c04f9e4d83b425b52acdfbdf6dfccbae267d4123ff9e881b0238122cb11fd738
Homepage: https://cran.r-project.org/package=rgabriel
Description: CRAN Package 'rgabriel' (Gabriel Multiple Comparison Test and Plot the ConfidenceInterval on Barplot)
 Analyze multi-level one-way experimental designs where there are unequal
 sample sizes and population variance homogeneity can not be assumed.  To
 conduct the Gabriel test <doi:10.2307/2286265>, create two vectors: one for
 your observations and one for the factor level of each observation.  The
 function, rgabriel, conduct the test and save the output as a vector to
 input into the gabriel.plot function, which produces a confidence interval
 plot for Multiple Comparison.

Package: r-cran-rgammagamma
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsl
Filename: pool/dists/focal/main/r-cran-rgammagamma_1.0.12-1.ca2004.1_all.deb
Size: 18296
MD5sum: 20a475d5667798d4c02c252e3e24eaa6
SHA1: 431998dcb873284b6da68d1afdadb52834d27f8d
SHA256: fb27d4313f7b9069a833062944eeccbeb12f24dcd2814e54785b168f7bd9d141
SHA512: 4ab933fd85624356f91966f748e04052cfb27364be3534619170f399d306ceb0b9341363df44fb535be493af6731c6376dbdae86d760cb588be6bd461e4c65e7
Homepage: https://cran.r-project.org/package=rGammaGamma
Description: CRAN Package 'rGammaGamma' (Gamma convolutions for methylation array background correction)
 This package implements a Gamma convolution model for background correction.

Package: r-cran-rgan
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-torch, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-rgan_0.1.1-1.ca2004.1_all.deb
Size: 248544
MD5sum: 82250d29812eaa5cfcb67d13094082bf
SHA1: e3241dc4e6e8df277269351f53f09cc33f4d645e
SHA256: 1a18e16d747880642666fa50f9830b875218435587491dde5d77b88bb284fbe6
SHA512: e304445f526432e9800282cbe37d47d27b2f6be7f82acecf87023356d5467d804a8d1bc505d2b1cb5f0029d7b5bc9626afd8745687d18441c2b0ad30276fd4ee
Homepage: https://cran.r-project.org/package=RGAN
Description: CRAN Package 'RGAN' (Generative Adversarial Nets (GAN) in R)
 An easy way to get started with Generative Adversarial Nets (GAN) in R. The
 GAN algorithm was initially described by Goodfellow et al. 2014
 <https://proceedings.neurips.cc/paper/2014/file/5ca3e9b122f61f8f06494c97b1afccf3-Paper.pdf>.
 A GAN can be used to learn the joint distribution of complex data by
 comparison. A GAN consists of two neural networks a Generator and a
 Discriminator, where the two neural networks play an adversarial minimax
 game.  Built-in GAN models make the training of GANs in R possible in one
 line and make it easy to experiment with different design choices (e.g.
 different network architectures, value functions, optimizers).  The built-in
 GAN models work with tabular data (e.g. to produce synthetic data) and image
 data.  Methods to post-process the output of GAN models to enhance the
 quality of samples are available.

Package: r-cran-rgap
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1803
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kfas, r-cran-zoo, r-cran-dlm, r-cran-openxlsx, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rgap_0.1.1-1.ca2004.1_all.deb
Size: 1678900
MD5sum: 75d836199ef7a03e9ae114d532e70193
SHA1: fdd4d371f0d49d632cefe4a9020c63850bffadf7
SHA256: a60a8f14ad5764e3524b5af80c83783a45b4db2382bb2b988893b850fc0bc771
SHA512: 0d66ed443f5faf42f89d9007649e898d0cb9184a94f705c0d10db2d1acf6b000458860efdfd1a6154bdb13af0d1e5972ab232d0555e8b8f0d82eda6f90dfd63a
Homepage: https://cran.r-project.org/package=RGAP
Description: CRAN Package 'RGAP' (Production Function Output Gap Estimation)
 The output gap indicates the percentage difference between the actual output
 of an economy and its potential. Since potential output is a latent process,
 the estimation of the output gap poses a challenge and numerous filtering
 techniques have been proposed. 'RGAP' facilitates the estimation of a
 Cobb-Douglas production function type output gap, as suggested by the
 European Commission (Havik et al. 2014)
 <https://ideas.repec.org/p/euf/ecopap/0535.html>. To that end, the
 non-accelerating wage rate of unemployment (NAWRU) and the trend of total
 factor productivity (TFP) can be estimated in two bivariate unobserved
 component models by means of Kalman filtering and smoothing. 'RGAP' features
 a flexible modeling framework for the appropriate state-space models and
 offers frequentist as well as Bayesian estimation techniques. Additional
 functionalities include direct access to the 'AMECO'
 <https://economy-finance.ec.europa.eu/economic-research-and-databases/economic-databases/ameco-database_en>
 database and automated model selection procedures. See the paper by
 Streicher (2022) <http://hdl.handle.net/20.500.11850/552089> for details.

Package: r-cran-rgbif
Architecture: all
Version: 3.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1547
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml2, r-cran-ggplot2, r-cran-crul, r-cran-data.table, r-cran-whisker, r-cran-magrittr, r-cran-jsonlite, r-cran-oai, r-cran-tibble, r-cran-lazyeval, r-cran-r6, r-cran-wk
Suggests: r-cran-testthat, r-cran-png, r-cran-terra, r-cran-magick, r-cran-protolite, r-cran-sf, r-cran-vcr, r-cran-knitr, r-cran-rmarkdown, r-cran-bit64
Filename: pool/dists/focal/main/r-cran-rgbif_3.8.2-1.ca2004.1_all.deb
Size: 1404140
MD5sum: 4a377d9873ac3f059b485f665c54f64f
SHA1: 46da3f6fa378702b7bda2ce1e3b2387cc99cfcd9
SHA256: e94be3090a7c4b898c5fddc71d3d7571e341c9ba5e455c4b26aef831bba2379e
SHA512: 9a9df47ef18cf2c15ca7000da32577c8463d72decea1bf944c4129390aaaf94da5c9812634408debd673b3e750ebec5f2a899d83ddd3cc327f8c050f09fef685
Homepage: https://cran.r-project.org/package=rgbif
Description: CRAN Package 'rgbif' (Interface to the Global Biodiversity Information Facility API)
 A programmatic interface to the Web Service methods provided by the Global
 Biodiversity Information Facility (GBIF;
 <https://www.gbif.org/developer/summary>). GBIF is a database of species
 occurrence records from sources all over the globe.  rgbif includes
 functions for searching for taxonomic names, retrieving information on data
 providers, getting species occurrence records, getting counts of occurrence
 records, and using the GBIF tile map service to make rasters summarizing
 huge amounts of data.

Package: r-cran-rgbp
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-rgbp_1.1.4-1.ca2004.1_all.deb
Size: 194660
MD5sum: eb3639a778580abc9451300ad99c29f7
SHA1: 3945827bc8568c37d9e1d93d95206ea85bcadd5e
SHA256: f1e3c0f0a827e7127a14dac59b825c8f184f95d5e12a82aedbbc6f38ead6299d
SHA512: 6b95dda35713627e6a1135677b821406163d88f85967fee7c1f289b991c265d6c4966d3929f368cbb88a64cc9756826684573bb3149e8889037f801d4635565d
Homepage: https://cran.r-project.org/package=Rgbp
Description: CRAN Package 'Rgbp' (Hierarchical Modeling and Frequency Method Checking onOverdispersed Gaussian, Poisson, and Binomial Data)
 We utilize approximate Bayesian machinery to fit two-level conjugate
 hierarchical models on overdispersed Gaussian, Poisson, and Binomial data
 and evaluates whether the resulting approximate Bayesian interval estimates
 for random effects meet the nominal confidence levels via frequency coverage
 evaluation. The data that Rgbp assumes comprise observed sufficient
 statistic for each random effect, such as an average or a proportion of each
 group, without population-level data.  The approximate Bayesian tool
 equipped with the adjustment for density maximization produces approximate
 point and interval estimates for model parameters including second-level
 variance component, regression coefficients, and random effect. For the
 Binomial data, the package provides an option to produce posterior samples
 of all the model parameters via the acceptance-rejection method. The package
 provides a quick way to evaluate coverage rates of the resultant Bayesian
 interval estimates for random effects via a parametric bootstrapping, which
 we call frequency method checking.

Package: r-cran-rgcca
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 726
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-deriv, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-mass, r-cran-matrixstats, r-cran-pbapply, r-cran-rlang
Suggests: r-cran-devtools, r-cran-factominer, r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-rticles, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rgcca_3.0.3-1.ca2004.1_all.deb
Size: 617056
MD5sum: 91a353043296a23673e85d3f9bc34395
SHA1: 6c7a293252a798c0a90f5882f3785cad863e1f8f
SHA256: e1d0a13a61bf0b00e4d5d9de655c2e089dacbfbed32102009eeffb489f50d672
SHA512: 89877a3ae7dd900fe029cbf84474dd8dd9295b1c058ea1813298f8d6eb85714974bf2faa61f36a01c168b17795fdd1ab44b5ca98c9bdabf7b1974878c6797d31
Homepage: https://cran.r-project.org/package=RGCCA
Description: CRAN Package 'RGCCA' (Regularized and Sparse Generalized Canonical CorrelationAnalysis for Multiblock Data)
 Multi-block data analysis concerns the analysis of several sets of variables
 (blocks) observed on the same group of individuals.  The main aims of the
 RGCCA package are: to study the relationships between blocks and to identify
 subsets of variables of each block which are active in their relationships
 with the other blocks. This package allows to (i) run R/SGCCA and related
 methods, (ii) help the user to find out the optimal parameters for R/SGCCA
 such as regularization parameters (tau or sparsity), (iii) evaluate the
 stability of the RGCCA results and their significance, (iv) build predictive
 models from the R/SGCCA. (v) Generic print() and plot() functions apply to
 all these functionalities.

Package: r-cran-rgcxgc
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5468
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rnetcdf, r-cran-ptw, r-cran-colorramps, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-rgcxgc_1.2.0-1.ca2004.1_all.deb
Size: 3159468
MD5sum: f8797ab9b907c7d003e0ba284ee36c31
SHA1: eb9f92717949ac55885793975a7f303479b7bb54
SHA256: c4ef6ac813a7e70a2f8c041ac80f05bef4f1722a251db32db514a6ab7f07a488
SHA512: 109acbf39cccfe1a8a454d5ed1fb37c65e13f7933a2c887f4da0784ea4edce56822c306b3ab3c561e19eec7dfecdef44f490d6797d82f1ceebeb21c7d21f285b
Homepage: https://cran.r-project.org/package=RGCxGC
Description: CRAN Package 'RGCxGC' (Preprocessing and Multivariate Analysis of Bidimensional GasChromatography Data)
 Toolbox for chemometrics analysis of bidimensional gas chromatography data.
 This package import data for common scientific data format (NetCDF) and fold
 it to 2D chromatogram. Then, it can perform preprocessing and multivariate
 analysis. In the preprocessing algorithms, baseline correction, smoothing,
 and peak alignment are available.  While in multivariate analysis, multiway
 principal component analysis is incorporated.

Package: r-cran-rgdax
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-jsonlite, r-cran-rcurl, r-cran-httr, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgdax_1.2.1-1.ca2004.1_all.deb
Size: 63352
MD5sum: da82e149edef88d0c8e93cee2a5eb8fc
SHA1: a4edc6aae7a4f122142cc0517499dae8a6108b9b
SHA256: a9333117cba832c4d15652f3604b1b484bdaba39d3067ba1cc422a77ff483054
SHA512: fb5873fc670cbf7018dcf608da2ec9271be5093a7b2a1552a1dc7656718761f1d7ad1bfb564c57fd1860fb5d39f21320dd9b2930aca6e641ca23eacda17735a7
Homepage: https://cran.r-project.org/package=rgdax
Description: CRAN Package 'rgdax' (Wrapper for 'Coinbase Pro (erstwhile GDAX)' CryptocurrencyExchange)
 Allow access to both public and private end points to Coinbase Pro
 (erstwhile GDAX) cryptocurrency exchange. For authenticated flow, users must
 have valid api, secret and passphrase to be able to connect.

Package: r-cran-rge
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1581
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-matrixmodels, r-cran-coda
Filename: pool/dists/focal/main/r-cran-rge_1.0-1.ca2004.1_all.deb
Size: 1584672
MD5sum: d06e57e0383a1dc235e98363f4bf4c45
SHA1: 60d900911b609175d31e67fa184a439b59bf7697
SHA256: d264278e2978593c7c7c75c98c579faf8b4de3ef0552d90eb6f6a157430b681e
SHA512: b2162425e749ba2c489931fb675680055e4bbb75b3dbad15f23262ba391f7df34a0e23ba973239ad6e6010393c87fe3eeeefdd2b7f2a0b71429b9f22cabf9399
Homepage: https://cran.r-project.org/package=RGE
Description: CRAN Package 'RGE' (Response from Genotype to Environment)
 Compute yield-stability index based on Bayesian methodology, which is useful
 for analyze multi-environment trials in plant breeding programs. References:
 Cotes Torres JM, Gonzalez Jaimes EP, and Cotes Torres A (2016)
 <https://revistas.unimilitar.edu.co/index.php/rfcb/article/view/2037>
 Seleccion de Genotipos con Alta Respuesta y Estabilidad Fenotipica en
 Pruebas Regionales: Recuperando el Concepto Biologico.

Package: r-cran-rgeckoboard
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rgeckoboard_0.1-5-1.ca2004.1_all.deb
Size: 34820
MD5sum: 4de5c79632446317b725b384573f49ee
SHA1: bf92c94c41e1e518c3cac19d63ecbc71d933dc82
SHA256: d438c504fa143470d0d637153c18f2bc20a91d45aaea46d29a7372e30d1af6fd
SHA512: 9b142dffc9168ced72f4ed6b32266254535eef68d154acbbe5fdc028235cdae5f6cec42f4811949fb55cc16a962b5935ec4cd89db63f532d1b778da3db78b39d
Homepage: https://cran.r-project.org/package=RGeckoboard
Description: CRAN Package 'RGeckoboard' (R API for Geckoboard)
 Provides an interface to Geckoboard.

Package: r-cran-rgee
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8473
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-rstudioapi, r-cran-leaflet, r-cran-magrittr, r-cran-jsonlite, r-cran-processx, r-cran-leafem, r-cran-crayon, r-cran-r6, r-cran-cli
Suggests: r-cran-magick, r-cran-geojsonio, r-cran-sf, r-cran-stars, r-cran-googledrive, r-cran-gargle, r-cran-httr, r-cran-digest, r-cran-testthat, r-cran-future, r-cran-terra, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-png, r-cran-googlecloudstorager, r-cran-leaflet.extras2, r-cran-spelling, r-cran-raster
Filename: pool/dists/focal/main/r-cran-rgee_1.1.7-1.ca2004.1_all.deb
Size: 2667644
MD5sum: 2b32f5ec9dd39d58dbd42cd76ca94793
SHA1: d1c1eec31d7bd9d8f6283ce0519375fb9baf0c70
SHA256: 43ee8e5cada0451f6b587613dd7ccb36e695d67d273478b60c9a662f6f536b93
SHA512: aa5e2a51206236777efa4843e4ab095b18d95a54b7e3e7ea586bd73851c991b7abd7723c4e20f8df170eee8f81371ba1e764b6d0175c974c9a3febe10e2d318d
Homepage: https://cran.r-project.org/package=rgee
Description: CRAN Package 'rgee' (R Bindings for Calling the 'Earth Engine' API)
 Earth Engine <https://earthengine.google.com/> client library for R. All of
 the 'Earth Engine' API classes, modules, and functions are made available.
 Additional functions implemented include importing (exporting) of Earth
 Engine spatial objects, extraction of time series, interactive map display,
 assets management interface, and metadata display. See
 <https://r-spatial.github.io/rgee/> for further details.

Package: r-cran-rgeedim
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-jsonlite
Suggests: r-cran-terra, r-cran-raster, r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgeedim_0.2.7-1.ca2004.1_all.deb
Size: 338228
MD5sum: 2b72bfc1ce0283e5cbe4abc45515621c
SHA1: 91d26b8233d052d7f795697aa3df38822814cbd6
SHA256: c0769e45278e8fc89231b1f9260c73bb27892f20881e37de1735343ba61e35cd
SHA512: 781722769b56bd058b3ece5bf4dbd658082fb2afa6a546520f9a8865952925ccb767f548ab03a96deefc61337621939cbe1f47b04ea5e5010aa529424827ee1d
Homepage: https://cran.r-project.org/package=rgeedim
Description: CRAN Package 'rgeedim' (Search, Composite, and Download 'Google Earth Engine' Imagerywith the 'Python' Module 'geedim')
 Search, composite, and download 'Google Earth Engine' imagery with
 'reticulate' bindings for the 'Python' module 'geedim' by Dugal Harris. Read
 the 'geedim' documentation here: <https://geedim.readthedocs.io/>.  Wrapper
 functions are provided to make it more convenient to use 'geedim' to
 download images larger than the 'Google Earth Engine' size limit
 <https://developers.google.com/earth-engine/apidocs/ee-image-getdownloadurl>.
 By default the "High Volume" API endpoint
 <https://developers.google.com/earth-engine/cloud/highvolume> is used to
 download data and this URL can be customized during initialization of the
 package.

Package: r-cran-rgen
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgen_0.0.1-1.ca2004.1_all.deb
Size: 15764
MD5sum: 0f96e17c77acb464b4d5cf7d4a6e6d2e
SHA1: 234c5df716c40ed6c947c67a1ba54b2d8a2100c1
SHA256: 7664efd5954ce93990925a10f004c9699fc0b942fc33be941b8c2212b16c4e56
SHA512: bd52afe410e57a48bb04269a414e094b665468d06f1faeb7e9a097fc261deceb739e0464551a3eb497cdb3c40f5dd591c905f9a05e1f90f05c36c933442789b8
Homepage: https://cran.r-project.org/package=rgen
Description: CRAN Package 'rgen' (Random Sampling Distribution C++ Routines for Armadillo)
 Provides popular sampling distributions C++ routines based in armadillo
 through a header file approach.

Package: r-cran-rgendata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rgendata_1.0-1.ca2004.1_all.deb
Size: 32564
MD5sum: dc8870685c4478b529aaa8f1712838e4
SHA1: 5165348d9aa8faa4ec12cc76258e134ea08bb42e
SHA256: 69899cb574f5f7967235efab22fc42a15dfcda299df4adc09153274183fec663
SHA512: 5f9a647cdc6e8c517093a74cafcd63c1c0df017c2d6c565603be1d0b9e529d7f74023c900a65ab2f51877d1ee53bd16fb45bb555703f03f9fdeebf852e690a41
Homepage: https://cran.r-project.org/package=RGenData
Description: CRAN Package 'RGenData' (Generates Multivariate Nonnormal Data and Determines How ManyFactors to Retain)
 The GenDataSample() and GenDataPopulation() functions create, respectively,
 a sample or population of multivariate nonnormal data using methods
 described in Ruscio and Kaczetow (2008). Both of these functions call a
 FactorAnalysis() function to reproduce a correlation matrix. The
 EFACompData() function allows users to determine how many factors to retain
 in an exploratory factor analysis of an empirical data set using a method
 described in Ruscio and Roche (2012). The latter function uses populations
 of comparison data created by calling the GenDataPopulation() function.
 <DOI: 10.1080/00273170802285693>.  <DOI: 10.1037/a0025697>.

Package: r-cran-rgenerate
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3575
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmawgen, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgenerate_1.3.7-1.ca2004.1_all.deb
Size: 3111264
MD5sum: a1905c789d396025b957279ecec8423b
SHA1: 286d3d34a935ae231e3f61feb0e0719c2f33fac9
SHA256: 8e753a36af65fac8f5080d751e45bd977b4e761b13000d108469c2d923aa7df3
SHA512: 788e8408642addefb15f77a46ded77faa5147e678c8795bdb8f8f7aae4f2266a2e4fb46fe37df401dc3eb7b507c3f8ad4c4fc349b993d38866a6c35eca8ba049
Homepage: https://cran.r-project.org/package=RGENERATE
Description: CRAN Package 'RGENERATE' (Tools to Generate Vector Time Series)
 A method 'generate()' is implemented in this package for the random
 generation of vector time series according to models obtained by 'RMAWGEN',
 'vars' or other packages.  This package was created to generalize the
 algorithms of the 'RMAWGEN' package for the analysis and generation of any
 environmental vector time series.

Package: r-cran-rgenerateprec
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2282
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-rgenerate, r-cran-blockmatrix, r-cran-matrix, r-cran-stringr, r-cran-rmawgen
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lubridate, r-cran-mapview, r-cran-sf, r-cran-lmom, r-cran-ggplot2, r-cran-reshape2, r-cran-refmanager
Filename: pool/dists/focal/main/r-cran-rgenerateprec_1.2.9-1.ca2004.1_all.deb
Size: 453096
MD5sum: 24e7a9cd584746b72babee3cd5b6402b
SHA1: 94f9aaa89b00484f6671a67edf2b611f393846e6
SHA256: e0cc108f87c7fef82cbdda83bf4e840cfd935c11bf9fac13e570f2b31ac175db
SHA512: 414b8b8974f044141b9cf1f146e5070e5f6c8f865a4f322e9d290eb7e8fe47c359186f7afbc3d303a954acd0a87623ebb39981cffbdda9581c405676913c174d
Homepage: https://cran.r-project.org/package=RGENERATEPREC
Description: CRAN Package 'RGENERATEPREC' (Tools to Generate Daily-Precipitation Time Series)
 The method 'generate()' is extended for spatial multi-site stochastic
 generation of daily precipitation. It generates precipitation occurrence in
 several sites using logit regression (Generalized Linear Models) and the
 approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .

Package: r-cran-rgenetics
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rgenetics_0.1-1.ca2004.1_all.deb
Size: 28376
MD5sum: fdbd4e7e26e88db68fe2175769fd7096
SHA1: e4d7310458103043868f6330e72db9d115182c15
SHA256: 9c80d7a6dc4ae772d8888824e5b52ad77d2dd91021932b216a6efa5b0a4f5932
SHA512: c0896b2a0ee2790b231435602beb3eb33321b9ba87b76d0895c904bc8837920595a77d67cd3d6d55f244d2108776e86bbf3de0669e517e66894b32d7ddbac6b9
Homepage: https://cran.r-project.org/package=RGenetics
Description: CRAN Package 'RGenetics' (R packages for genetics research)
 R packages for genetics research

Package: r-cran-rgenius
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-httr, r-cran-rvest, r-cran-foreach, r-cran-tibble, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-rgenius_0.1.0-1.ca2004.1_all.deb
Size: 76912
MD5sum: 2ec243a3658271f70f8c71784b002f61
SHA1: 12cd42d615af4c77bbf089c42797816f69800691
SHA256: a37dbc4956b6eff6d6da39bfb9c5c5858230c14c17e5cb2637c4fb31d433234c
SHA512: 4c63aac0585283b1163fd4e7db8f611cbcb3bbf245235efcfdcde57487f3401562569234beaf2a789367dc3f21c48918c0767ab6544ad939430276ddf2c2188b
Homepage: https://cran.r-project.org/package=rgenius
Description: CRAN Package 'rgenius' (Get 'Genius' API Lyrics)
 Download the lyrics of your favorite songs in text and table formats.  Also
 search for related songs or song information.  More information:
 <https://docs.genius.com/> .

Package: r-cran-rgeoboundaries
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-sf, r-cran-hoardr, r-cran-glue, r-cran-memoise, r-cran-countrycode, r-cran-lifecycle
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rgeoboundaries_1.3-1.ca2004.1_all.deb
Size: 116140
MD5sum: 413ad9ace492fd4d7df7c2994e883a20
SHA1: f6c3b080378fee95015dbde5106abf1fc6c671d6
SHA256: 2047f235669c2c9c7f969dc22fa3caffc2ed577a76362ab72ac91874873a599a
SHA512: d787a987fbf8e9f435a9fb93f62b658401f3be613fac5ce2043ed88d8a75d95ce54384008b43ec0160d237c625a263070e089e7fd5aa80874e2b275f49c9abca
Homepage: https://cran.r-project.org/package=rgeoboundaries
Description: CRAN Package 'rgeoboundaries' (geoBoundaries Client)
 Provides access to the geoBoundaries international boundary database
 <https://www.geoboundaries.org>, a NSF and foundation supported dataset of
 subnational boundaries around the globe.  Methods allow you to access data
 directly from the API <https://www.geoboundaries.org/api/current/> to query
 for the geometric boundaries for any country, globally. For more details,
 refer to the publication by Runfola et al. (2020)
 <doi:10.1371/journal.pone.0231866>.

Package: r-cran-rgeomstats
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 955
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-purrr, r-cran-r6, r-cran-rdpack, r-cran-reticulate, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgeomstats_0.0.1-1.ca2004.1_all.deb
Size: 746736
MD5sum: eaef635a952f3bcf4a14bd7c91872baa
SHA1: c711ffaa740888db7d7b8d01afd42a8d542f8b46
SHA256: 7d222d56cf69e290958c970e8226d0e57da5f42716e4ffcc5fdedb1f1d24827e
SHA512: 65345423c6bb5e1947e0423b6f4ca80ef5e977fdb501121a6420e05c460c2278b031a7625656797790e850bfaf9d6c0fd5d8f4cdbb2e6944e491742f98768023
Homepage: https://cran.r-project.org/package=rgeomstats
Description: CRAN Package 'rgeomstats' (Interface to 'Geomstats')
 Provides an interface to the Python package 'Geomstats' authored by Miolane
 et al. (2020) <arXiv:2004.04667>.

Package: r-cran-rgeopat2
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3497
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr, r-cran-sf, r-cran-stringr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgeopat2_0.4.0-1.ca2004.1_all.deb
Size: 1035660
MD5sum: 89223ef8223a587880d89b69039c4a94
SHA1: 60fff2bbbd29ffc1a3204f22574cf34f6f02166f
SHA256: 6d262ed877e96f829ecb12c1670745fc02b3f26377181388d0858efaaa80554a
SHA512: 29fbbe1a002a5a1cf59c3e836c61564a00b1e68b829c1442bddf606569278e458cb82df955907c34e42cd6932a702c9d084e5e421bedeba7207dcb71f5afdb24
Homepage: https://cran.r-project.org/package=rgeopat2
Description: CRAN Package 'rgeopat2' (Additional Functions for 'GeoPAT' 2)
 Supports analysis of spatial data processed with the 'GeoPAT' 2 software
 <https://github.com/Nowosad/geopat2>.  Available features include creation
 of a grid based on the 'GeoPAT' 2 grid header file and reading a 'GeoPAT' 2
 text outputs.

Package: r-cran-rgeoprofile
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2453
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geosphere, r-cran-leaflet, r-cran-pals, r-cran-rann, r-cran-raster, r-cran-sp, r-cran-spatstat.geom, r-cran-splancs
Suggests: r-cran-htmlwidgets, r-cran-leafsync, r-cran-knitr, r-cran-rgdal, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgeoprofile_0.2.2-1.ca2004.1_all.deb
Size: 1258076
MD5sum: 9b44ad9398d009ee85d8491de425e9ce
SHA1: a5317ba1d60abb3bea494711cb5e28d20b2cc84c
SHA256: 5a2ce213c0383a4124ceb27016cede3ce32cda100508067381fe43e778da419d
SHA512: 66813ce0d5d2a15ccff0bde28abb137f20d3c6e2ab2cd960fa505fdfb338e25ad1618b5854aa345482a2a3e8d36daf0679f7e73b8ef0ba342af09fe7b26e79c1
Homepage: https://cran.r-project.org/package=rgeoprofile
Description: CRAN Package 'rgeoprofile' (Geographic Profiling Methods for Serial Crime Analysis)
 An implementation of functions for the analysis of serial crime incidents.
 The package implements algorithms for the geographical profiling of serial
 incidents in attempt to prioritize the area in which the anchor point or
 home base of the perpetrator is located. The geographic profiling methods in
 the package are implemented based upon the 'Dragnet' software by Canter,
 Coffey, Huntley, and Missen (2000) <doi:10.1023/A:1007551316253>, the
 'CrimeStat' software by Levine (2013)
 <https://nij.ojp.gov/topics/articles/crimestat-spatial-statistics-program-analysis-crime-incident-locations>,
 and the criminal geographic targeting model outlined in Rossmo (2000,
 ISBN:978-0849381294) and Rossmo (1995) <http://summit.sfu.ca/item/6820>.

Package: r-cran-rgexf
Architecture: all
Version: 0.16.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2063
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-igraph, r-cran-servr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rgexf_0.16.3-1.ca2004.1_all.deb
Size: 1422640
MD5sum: 44fb0eeb27eeb1e778fbd11c00b45161
SHA1: f0dcdc2c2153ff962b69a1abe96216ffc32dff94
SHA256: fd554fe6ece85966bafcf1709852cf68925d0ef5d78991df5450b1e360df9207
SHA512: 7df5446260fb4ce7343c7e836c765e5f1603860fffe174cf0748b9aab8a3118fca013ea318da2dcf96ba3d15c5a0965fbd5b944278e41bfacc1532a34d709368
Homepage: https://cran.r-project.org/package=rgexf
Description: CRAN Package 'rgexf' (Build, Import, and Export GEXF Graph Files)
 Create, read, and write 'GEXF' (Graph Exchange 'XML' Format) graph files
 (used in 'Gephi' and others). Using the 'XML' package, rgexf allows reading
 and writing GEXF files, including attributes, 'GEXF' visual attributes (such
 as color, size, and position), network dynamics (for both edges and nodes),
 and edges' weights. Users can build/handle graphs element-by-element or
 massively through data frames, visualize the graph on a web browser through
 'gexf-js' (a 'javascript' library), and interact with the 'igraph' package.

Package: r-cran-rgf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reticulate, r-cran-r6, r-cran-matrix
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgf_1.1.1-1.ca2004.1_all.deb
Size: 212140
MD5sum: 0f952257ba124864e5e75ebc5608042a
SHA1: 6b993308dfb6df332c4b94a0f9dc249db418a881
SHA256: 532520d8d8783c18f752b2c027916ce6b1cfba37952d302c665cdf1787aaab9b
SHA512: aa3a740c8ea3197a7b91e0f7e855d047cd033bbb280b0674075a24268b9533cba694d755e7603f641fc69a6bb6c695bf6ba92726e441014d9d2865a12a053595
Homepage: https://cran.r-project.org/package=RGF
Description: CRAN Package 'RGF' (Regularized Greedy Forest)
 Regularized Greedy Forest wrapper of the 'Regularized Greedy Forest'
 <https://github.com/RGF-team/rgf/tree/master/python-package> 'python'
 package, which also includes a Multi-core implementation (FastRGF)
 <https://github.com/RGF-team/rgf/tree/master/FastRGF>.

Package: r-cran-rgff
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 977
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-withr, r-cran-rlang, r-cran-stringi, r-cran-data.tree, r-cran-tibble, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-diagrammer, r-cran-diagrammersvg, r-cran-rsvg, r-cran-rmarkdown, r-cran-knitr, r-bioc-genomicranges, r-bioc-rtracklayer, r-bioc-s4vectors
Filename: pool/dists/focal/main/r-cran-rgff_0.1.7-1.ca2004.1_all.deb
Size: 388680
MD5sum: cb653cda6e3869f42c773655eb39a8b5
SHA1: 5c2000d6d9b6bf8d7f8606db4c0e3dbd18b99b93
SHA256: 3ea5128e502c472c79425d6564bdb2a8be280dafa752fa33a4135524978033e9
SHA512: 4c186595399deee2f94350d950e44480749e7f9850f711c42323e92646b56914321c03dd65a80bf3989983cbc862a722c88396586bbcd299b7a063b4892b2456
Homepage: https://cran.r-project.org/package=Rgff
Description: CRAN Package 'Rgff' (R Utilities for GFF Files)
 R utilities for gff files, either general feature format (GFF3) or gene
 transfer format (GTF) formatted files. This package includes functions for
 producing summary stats, check for consistency and sorting errors,
 conversion from GTF to GFF3 format, file sorting, visualization and plotting
 of feature hierarchy, and exporting user defined feature subsets to SAF
 format. This tool was developed by the BioinfoGP core facility at CNB-CSIC.

Package: r-cran-rghanacensus
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-sf, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-rghanacensus_0.1.0-1.ca2004.1_all.deb
Size: 487288
MD5sum: 6f4a3eca59499d0d9e4a0995080eac4f
SHA1: 0da17fe8c8fa415f06b4743b14f7982d841931ce
SHA256: 8550867cfddd3c380c599585248902c59f111134010d29c608560487b6bcb965
SHA512: 7b12044de5b02bfbd2d8869a56ea57674eee8dd11aca9d1c05d11cca9bf1cffb75eaa24e681b9b54944c1b681b187551ca19057945d6362de78d9c047c55097b
Homepage: https://cran.r-project.org/package=rGhanaCensus
Description: CRAN Package 'rGhanaCensus' (2021 Ghana Population and Housing Census Results as Data Frames)
 Datasets from the 2021 Ghana Population and Housing Census Results. Users
 can access results as 'tidyverse' and 'sf'-Ready Data Frames.  The data in
 this package is scraped from pdf reports released by the Ghana Statistical
 Service website <https://census2021.statsghana.gov.gh/> . The package
 currently only contains datasets from the literacy and education reports.
 Namely, school attendance data for respondents aged 3 years and above.

Package: r-cran-rgho
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 953
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-odataquery, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgho_3.0.2-1.ca2004.1_all.deb
Size: 127036
MD5sum: 3ae6083cb1fd5565cd1917a961808630
SHA1: 10b255d842a796f2fbacf236be710aed303a9ce4
SHA256: 4bbe8746b917d244368e6b01fb17e6038ea8a14fe46f0ac808271e69a0e86a9d
SHA512: b3319e59ddcdcf8f75dbf27157921f0810a96206aed63e74bbaa602d383462d50e8acc1b11d5464a2804acd19e6e7973d24f2aa74a7dac53006e31d5144b628d
Homepage: https://cran.r-project.org/package=rgho
Description: CRAN Package 'rgho' (Access WHO Global Health Observatory Data from R)
 Access WHO Global Health Observatory (<https://www.who.int/data/gho/>) data
 from R via the `OData` API
 (<https://www.who.int/data/gho/info/gho-odata-api>), an application program
 interface providing a simple query interface to the World Health
 Organization's data and statistics content.

Package: r-cran-rgift
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-foreign
Filename: pool/dists/focal/main/r-cran-rgift_0.1-7-1.ca2004.1_all.deb
Size: 361332
MD5sum: b3b0d95f452d4eed9d9d413f7552fb83
SHA1: a7e3edd1606c452cd8f42050991ef35cc23f424a
SHA256: 0c26cff121b2ad7102858a766f098cd79aa07fd5aa25f671e53d7e93e4f22eba
SHA512: 3c4bc86929864c187e814bc6ba7aa87be995ff618cc6f957883182a451ee7f1fd72e66e40b5de089b7e1a7af572bbf825e6182b158a170b0742e7171705b5466
Homepage: https://cran.r-project.org/package=RGIFT
Description: CRAN Package 'RGIFT' (Create Quizzes in GIFT Format)
 Implementation of some functions to create quizzes in the GIFT format. This
 format is used by several Virtual Learning Environments such as Moodle.

Package: r-cran-rgistools
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sf, r-cran-tmap, r-cran-rdpack, r-cran-xml, r-cran-xml2, r-cran-fields, r-cran-urltools, r-cran-rjson, r-cran-rvest, r-cran-curl, r-cran-httr, r-cran-mapview, r-cran-sp, r-cran-stars
Suggests: r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-rgistools_1.0.2-1.ca2004.1_all.deb
Size: 2332316
MD5sum: 04c4c6724c631dedec401f8b6df26a5d
SHA1: fd71fd8589760c34e3f6948e96515839f68d3253
SHA256: 176bec7a77f49e9e23c502ae1f97e8c2e7d5a27ca952ba47b66bb2bd07d26bda
SHA512: 1366ea7724b5370228896f74d21b50b5d1b4e7c69a153121549eb0440b20fb3688eff37339ad155963507bfe07b472589b3f9210bbfc42effda234ea6e3bfaee
Homepage: https://cran.r-project.org/package=RGISTools
Description: CRAN Package 'RGISTools' (Handling Multiplatform Satellite Images)
 Downloading, customizing, and processing time series of satellite images for
 a region of interest. 'RGISTools' functions allow a unified access to
 multispectral images from Landsat, MODIS and Sentinel repositories.
 'RGISTools' also offers capabilities for customizing satellite images, such
 as tile mosaicking, image cropping and new variables computation. Finally,
 'RGISTools' covers the processing, including cloud masking, compositing and
 gap-filling/smoothing time series of images (Militino et al., 2018
 <doi:10.3390/rs10030398> and Militino et al., 2019
 <doi:10.1109/TGRS.2019.2904193>).

Package: r-cran-rgl.cry
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 946
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cry, r-cran-pracma, r-cran-rgl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgl.cry_0.1.1-1.ca2004.1_all.deb
Size: 473316
MD5sum: 31b4486f6441480f43fa15fb7537b816
SHA1: d885b084ae47a09a2e610c41dad1e92a55bab4f3
SHA256: dde65f17e8d568d8c94d72f5af749f6449da7a2bf122214bf1aac8591505ccfb
SHA512: 6016d7e7c15c433ac7f1d169f57878746fea2e6b9a5f572c31e19fa48ab253fd8295286865a57e39d1e7782ac540805e83bae3ac1da4890dae512ac88c2c33d5
Homepage: https://cran.r-project.org/package=rgl.cry
Description: CRAN Package 'rgl.cry' ('cry' and 'rgl' — Applications in Crystallography)
 Visualizing crystal structures and selected area electron diffraction (SAED)
 patterns.  It provides functions cry_demo() and dp_demo() to load a file in
 'CIF' (Crystallographic Information Framework) formats and display crystal
 structures and electron diffraction patterns.  The function dp_demo() also
 performs simple simulation of powder X-ray diffraction (PXRD) patterns, and
 the results can be saved to a file in the working directory.  The package
 has been tested on several platforms, including Linux on 'Crostini' with a
 Core™ m3-8100Y Chromebook, I found that even on this low-powered platform,
 the performance was acceptable.  T. Hanashima (2001)
 <https://www2.kek.jp/imss/pf/tools/sasaki/sinram/sinram.html> Todd
 Helmenstine (2019)
 <https://sciencenotes.org/molecule-atom-colors-cpk-colors/> Wikipedia
 contributors (2023)
 <https://en.wikipedia.org/w/index.php?title=Atomic_radius&oldid=1179864711>.

Package: r-cran-rglobi
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr, r-cran-rcurl, r-cran-curl
Suggests: r-cran-testthat, r-cran-openssl, r-cran-httr, r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rglobi_0.3.4-1.ca2004.1_all.deb
Size: 49968
MD5sum: ca5ddcbdcc78d8ce5658a0b822c51436
SHA1: 4a82d3b31bcf4dfeeebd99cd07c73f79e9b0d53b
SHA256: 248cf30ed7edf368b8019ecf4bf1ad6253432c3fcbf8561e8b984d0ed1785b9e
SHA512: 58189e005050e636d1a076a4eee1c46d942a6c5eed8cb91feba543e494b7a6abed166d68188fb6f0eb852fd47c2f8d62e273ea01f037dd3c3c8b9ea12acdd344
Homepage: https://cran.r-project.org/package=rglobi
Description: CRAN Package 'rglobi' (Interface to Global Biotic Interactions)
 A programmatic interface to the web service methods provided by Global
 Biotic Interactions (GloBI) (<https://www.globalbioticinteractions.org/>).
 GloBI provides access to spatial-temporal species interaction records from
 sources all over the world. rglobi provides methods to search species
 interactions by location, interaction type, and taxonomic name.

Package: r-cran-rglplus
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4362
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-rglplus_1.3-1.ca2004.1_all.deb
Size: 4416232
MD5sum: 638dc13d2ab5af91bd28df6e8b42cd30
SHA1: 57cae8cd369c63f4f65d1a8cc0178b9e2810d2d4
SHA256: 60ae6ab20c37f3024accdfb32d1328a9f138c02935ff677394ed789fecd88051
SHA512: f59642f77b9f54b70837fe519639db60a6107b99d546bf9e0c379b4fb228de6557c7df9b15bb678beb4a94e6abcd36ef114534fe73e7fd44bba18d21d5e25215
Homepage: https://cran.r-project.org/package=rglplus
Description: CRAN Package 'rglplus' (Extension of the 'rgl' 3D Visualization Package)
 Provides 3D plotting routines that facilitate the use of the 'rgl' package
 and extend its functionality. For example, the routines allow the user to
 directly control the camera position & orientation, as well as to generate
 3D movies with a moving observer.

Package: r-cran-rglwidget
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-rglwidget_0.2.1-1.ca2004.1_all.deb
Size: 11820
MD5sum: 9023bb42257c4771ba97740597493747
SHA1: 4a271da0fd1c121dad94e7b04dd30331a5d3b59c
SHA256: 71f2611fd7b322505d2b5e90f21e99a046395d3ac9a1749073e56aef79bb7a5d
SHA512: 4e2e3e09bd62fd2589ccdf9864ec306a821f197ef24ac556c56c6f7daa4aa78ce2554f2083ea610a8a9dfc95b0becb07550dd3579d5c96d1682f17e863eea102
Homepage: https://cran.r-project.org/package=rglwidget
Description: CRAN Package 'rglwidget' ('rgl' in 'htmlwidgets' Framework)
 The contents of this package have been merged into rgl, so it is no longer
 needed.

Package: r-cran-rgnoisefilt
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-e1071, r-cran-fnn, r-cran-gbm, r-cran-modelr, r-cran-nnet, r-cran-randomforest, r-cran-rpart, r-cran-arules, r-cran-infotheo, r-cran-entropy, r-cran-ggplot2, r-cran-class, r-cran-kknn
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rgnoisefilt_1.1.3-1.ca2004.1_all.deb
Size: 291888
MD5sum: 680da040f30198cb02299b3b29a825b4
SHA1: b8706838e535211777c48bd54e77defa0b3b9152
SHA256: 9e9d4a522a1291bccc6093011488c78343a191e3543d3781778605f88ce1da43
SHA512: 5ab166d5c3d06a6ebb197cda3ba5713427e63e499b2dff22606c3dd37b10e47ee12617e293d1727da6be8a31199bd38d6a5f94d983962d74f6019d7c4406873d
Homepage: https://cran.r-project.org/package=rgnoisefilt
Description: CRAN Package 'rgnoisefilt' (Elimination of Noisy Samples in Regression Datasets using NoiseFilters)
 Traditional noise filtering methods aim at removing noisy samples from a
 classification dataset. This package adapts classic and recent filtering
 techniques for use in regression problems, and it also incorporates methods
 specifically designed for regression data. In order to do this, it uses
 approaches proposed in the specialized literature, such as Martin et al.
 (2021) [<doi:10.1109/ACCESS.2021.3123151>] and Arnaiz-Gonzalez et al. (2016)
 [<doi:10.1016/j.eswa.2015.12.046>]. Thus, the goal of the implemented noise
 filters is to eliminate samples with noise in regression datasets.

Package: r-cran-rgnparser
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sys, r-cran-tibble, r-cran-jsonlite, r-cran-readr, r-cran-lifecycle
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgnparser_0.3.0-1.ca2004.1_all.deb
Size: 35784
MD5sum: fb0c78c304f0ae2654e1449ce6a1313f
SHA1: c4686b01d628179b10c2a6ff24fba4194a400c27
SHA256: 84e9a5478a71b967994e42ca873337569d3f40d3bcdb7470e37c5018b2f2344e
SHA512: a9aaf019436e49a8630990d747ed68c2fcd3492f57d4b03bd79b9b558680033ddf45eec19fc1f41faa6b0fcf25dd17fea799cecbedf8aad11d6b7d47614b5997
Homepage: https://cran.r-project.org/package=rgnparser
Description: CRAN Package 'rgnparser' (Parse Scientific Names)
 Parse scientific names using 'gnparser'
 (<https://github.com/gnames/gnparser>), written in Go. 'gnparser' parses
 scientific names into their component parts; it utilizes a Parsing
 Expression Grammar specifically for scientific names.

Package: r-cran-rgoogleads
Architecture: all
Version: 0.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1690
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gargle, r-cran-httr, r-cran-stringr, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-snakecase, r-cran-cli, r-cran-pbapply, r-cran-purrr, r-cran-withr, r-cran-rlist, r-cran-rvest, r-cran-memoise, r-cran-cachem, r-cran-rappdirs, r-cran-lifecycle
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-dt
Filename: pool/dists/focal/main/r-cran-rgoogleads_0.12.0-1.ca2004.1_all.deb
Size: 951028
MD5sum: 57fb95b83c8b3d6e09b7414349caa2fd
SHA1: 5539acb79d02192c25da6e8cca47acd1d9de298d
SHA256: 37e8ea4ae2673cd7d80eabdb99b185b35a635a910c54e51d11d2545f08ccb6e0
SHA512: 903bb09978bb584812f6d1e6a41a1d329e5938bc99354686641ebcc432eeb7cd54443a7e55f3f9f92628f8812478ab6da34864c3edd04558371bb5c2260ef192
Homepage: https://cran.r-project.org/package=rgoogleads
Description: CRAN Package 'rgoogleads' (Loading Data from 'Google Ads API')
 Interface for loading data from 'Google Ads API', see
 <https://developers.google.com/google-ads/api/docs/start>.  Package provide
 function for authorization and loading reports.

Package: r-cran-rgoogleanalytics
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-httr, r-cran-digest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgoogleanalytics_0.1.6-1.ca2004.1_all.deb
Size: 81200
MD5sum: b7048d0287fc842c5ba7acc4d66f8d02
SHA1: e0ddd1c715aa5087443c87371c883195a916be1d
SHA256: 98d8df29167ba70a98805094f3aaa8237f52e8bf4f0e80af60f68ad13466184b
SHA512: 2eac4e59827c30ef62ac637d8a4ccb2237532bd218150cdbf23a40f0bf060fe3d4b37708d6a2ce73fbf11990c50a3598f01eec1372f8a161141978d552166eb2
Homepage: https://cran.r-project.org/package=RGoogleAnalytics
Description: CRAN Package 'RGoogleAnalytics' (R Wrapper for the Google Analytics API)
 Provides functions for accessing and retrieving data from the Google
 Analytics API.

Package: r-cran-rgoogleanalyticspremium
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-lubridate, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rgoogleanalyticspremium_0.1.1-1.ca2004.1_all.deb
Size: 35620
MD5sum: 39092870f89691b12890f1d77e638950
SHA1: 596045c4904e5dbf25372b8edbb71b5a16b746d1
SHA256: 3dc628d395e36d5bde8cbfe9271346d57b24916d91e0a6be9acd36005738f6f6
SHA512: 93cb86c6b4410077dcde9fff4f7df27c1ce35230f536c177dd3009e82ccd9633cf9a017f579cafbdcc7495ef253a1f6169b6cc50df1532a9531b3ed5db5c6c97
Homepage: https://cran.r-project.org/package=RGoogleAnalyticsPremium
Description: CRAN Package 'RGoogleAnalyticsPremium' (Unsampled Data in R for Google Analytics Premium Accounts)
 It fires a query to the API to get the unsampled data in R for Google
 Analytics Premium Accounts. It retrieves data from the Google drive document
 and stores it into the local drive. The path to the excel file is returned
 by this package. The user can read data from the excel file into R using
 read.csv() function.

Package: r-cran-rgoogleclassroom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-r6, r-cran-assertthat, r-cran-lubridate, r-cran-magrittr, r-cran-openssl, r-cran-stringr, r-cran-dplyr, r-cran-readr, r-cran-rprojroot, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rgoogleclassroom_1.0.0-1.ca2004.1_all.deb
Size: 208452
MD5sum: db93e3f497dd2261859f5a5292e6978b
SHA1: a4a47377e8543cacc87a11e55ceadd0feaaebf47
SHA256: c7c4bcb5263a14341ff050b2ae46379b5b0084edf593da2aad530ad991d2a684
SHA512: e13373d6611cf16e5f0666e59df7d8b0ad73b64a518d35c6dc307225aaec6124aa1c8dd46ca87c71fcc4fa052d15824d4806f125b11a80076e49bf05a04f5d30
Homepage: https://cran.r-project.org/package=rgoogleclassroom
Description: CRAN Package 'rgoogleclassroom' (API Wrapper for Google Classroom and Google Forms)
 This is a Google Forms and Google Classroom API Wrapper for R for managing
 Google Classrooms from R. The documentation for these APIs is here
 <https://developers.google.com/forms/api/guides> .

Package: r-cran-rgooglefit
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite, r-cran-bit64, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rgooglefit_0.4.0-1.ca2004.1_all.deb
Size: 24520
MD5sum: 3bb172e48e715afe218412c782f22fe8
SHA1: 7ce187cb9d1be77458bcffd942583db89e0da6ec
SHA256: a5959cc2ec13c9551b875fc3a762630ece2c745d947d5854689d1af536a311ad
SHA512: 5726056b766f1faef3af314a8a39174189291d3a03baebe9c53bd60c6d41ae07f342ef88f9cf54b0def1d2b141a0b70da0a7b323b13d568249fb46c5b4ee59c1
Homepage: https://cran.r-project.org/package=RGoogleFit
Description: CRAN Package 'RGoogleFit' (R Interface to Google Fit API)
 Provides interface to Google Fit REST API v1 (see
 <https://developers.google.com/fit/rest/v1/reference/>).

Package: r-cran-rgooglemaps
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 736
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-png
Suggests: r-cran-pbsmapping, r-cran-rcolorbrewer, r-cran-leaflet, r-cran-jpeg, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rgooglemaps_1.5.1-1.ca2004.1_all.deb
Size: 500884
MD5sum: e7b8e9cf2cd033033133b5fd5304b77f
SHA1: b24123665bb21292690fa76a293188062b6449bf
SHA256: 77f6a757f6c644b8a98d8d5184c7e4ade25633894a692edcffed6622dbc1199e
SHA512: d222acae52abd0a7c46222c65af3da90c242f83631a2089f6ed5c3a2a924be39663392051e63e608fcd4d27acce448bee187e05dbfb66cd312fb219ff601a5b5
Homepage: https://cran.r-project.org/package=RgoogleMaps
Description: CRAN Package 'RgoogleMaps' (Overlays on Static Maps)
 Serves two purposes: (i) Provide a comfortable R interface to query the
 Google server for static maps, and (ii) Use the map as a background image to
 overlay plots within R. This requires proper coordinate scaling.

Package: r-cran-rgoogleslides
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-assertthat, r-cran-r6
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgoogleslides_0.3.2-1.ca2004.1_all.deb
Size: 184620
MD5sum: 8012a45034cecb6b9e5a6049a07c95b2
SHA1: ecab4c2a343bdded79e1053298eaba348a04b61f
SHA256: b6d18684b290c309a857988e1381257b1528738e799490a18aac9ca76d952810
SHA512: 4854a819d52c455326284edc230d70da32afaa60efadfff7ab5dbf331c5b20c2b27185e09f8b3aac125890ad31c579ee79f26db27d81bf783ac9ef435d65abab
Homepage: https://cran.r-project.org/package=rgoogleslides
Description: CRAN Package 'rgoogleslides' (R Interface to Google Slides)
 Previously, when one is working with in the Google Ecosystem (Using Google
 Drive etc), there is hardly any good workflow of getting the values
 calculated from R and getting that into Google Slides. The normal and easy
 way out would be to just copy your work over but when you have a number of
 analysis to present with a lot of changes between each environment, it just
 becomes quite cumbersome.

Package: r-cran-rgovcan
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-ckanr, r-cran-crayon, r-cran-crul, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rgovcan_1.0.3-1.ca2004.1_all.deb
Size: 157312
MD5sum: cc36d0cd996403d437d1fe147cad5dab
SHA1: 9f71ba5f998da3f2c1db00247f63e8332bfe511e
SHA256: 2a1692a104a49580fad4438390b638bcf31decf4b294c3ddd2928b99317e7e90
SHA512: fddc9b5a8bff2dde1192860611363a7bddb1f27852e746f5450d0dbb7c329ac43ea721eceb07270f70646c52d157b0f4fca65f9d3cd30fedc151ad8b4ada599b
Homepage: https://cran.r-project.org/package=rgovcan
Description: CRAN Package 'rgovcan' (Easy Access to the Canadian Open Government Portal)
 Allows to search for existing resources, including datasets, on the Canadian
 Open Government portal (<https://open.canada.ca/en>). It is also designed to
 allow users to easily download a range of files directly from the portal in
 a reproducible manner.

Package: r-cran-rgplates
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1373
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-chronosphere, r-cran-httr2, r-cran-geojsonsf, r-cran-sp, r-cran-terra
Filename: pool/dists/focal/main/r-cran-rgplates_0.6.0-1.ca2004.1_all.deb
Size: 1319124
MD5sum: 92d2bf4853fd688c54ede1256db030d7
SHA1: 37573856af83f039ae5f84b28290589fc71f0920
SHA256: 9b586a99d08faeee6f9504d59daf83f0dffb5625bbae58c268a45fdfb8833dd8
SHA512: 27982681c58c2ba6e26301a37d12cd2b96b1e8691f22b6d69c1d102e21c6b6749017d8a885fcbb7cf28d0e1f57c4d34a658bb336d398ec23324671c74932c8e7
Homepage: https://cran.r-project.org/package=rgplates
Description: CRAN Package 'rgplates' (R Interface for the GPlates Web Service and Desktop Application)
 Query functions to the GPlates <https://www.gplates.org/> Desktop
 Application and the GPlates Web Service <https://gws.gplates.org/> allow
 users to reconstruct past positions of geographic entities based on
 user-selected rotation models without leaving the R running environment. The
 online method (GPlates Web Service) makes the rotation of static plates,
 coastlines, and a low number of geographic coordinates available using
 nothing but an internet connection. The offline method requires an external
 installation of the GPlates Desktop Application, but allows the efficient
 batch rotation of thousands of coordinates, Simple Features (sf) and Spatial
 (sp) objects with custom reconstruction trees and partitioning polygons.
 Examples of such plate tectonic models are accessible via the chronosphere
 <https://cran.r-project.org/package=chronosphere>. This R extension is
 developed under the umbrella of the DFG (Deutsche Forschungsgemeinschaft)
 Research Unit TERSANE2 (For 2332, TEmperature Related Stressors in ANcient
 Extinctions).

Package: r-cran-rgr
Architecture: all
Version: 1.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-fastica
Suggests: r-cran-akima
Filename: pool/dists/focal/main/r-cran-rgr_1.1.15-1.ca2004.1_all.deb
Size: 1173008
MD5sum: 706ece64e36516d39bb4e572c42b109e
SHA1: 7a4058c7ee7551d7c4ebc212863a04b11a0855a2
SHA256: 25f641664e1319c57f74612b857d04d004b4e426c29bab00eaa9d88052c6111f
SHA512: c1e04a655563aceae86ac86f062c831186c24458eee6dc1bf7f1ca692b3d10ea9fe641799312cf1e359802e7e774521de57c0a4d55350ba79b621726033cab57
Homepage: https://cran.r-project.org/package=rgr
Description: CRAN Package 'rgr' (Applied Geochemistry EDA)
 Geological Survey of Canada (GSC) functions for exploratory data analysis
 with applied geochemical data, with special application to the estimation of
 background ranges and identification of outliers, 'anomalies', to support
 mineral exploration and environmental studies.  Additional functions are
 provided to support analytical data QA/QC, ANOVA for investigations of field
 sampling and analytical variability, and utility tasks.  NOTE: function
 caplot() for concentration-area plots employs package 'akima', however,
 'akima' is only licensed for not-for-profit use.  Therefore, not-for-profit
 users of 'rgr' will have to independently make package 'akima' available
 through library(....); and use of function caplot() by for-profit users will
 fail.

Package: r-cran-rgraphics
Architecture: all
Version: 3.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1918
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-grimport, r-cran-grimport2, r-cran-gridbase, r-cran-gridgraphics, r-cran-gridsvg
Suggests: r-cran-cluster, r-cran-colorspace, r-cran-jpeg, r-cran-kernsmooth, r-cran-mapdata, r-cran-maps, r-cran-party, r-cran-pixmap, r-cran-png, r-cran-quantmod, r-cran-rsvg, r-cran-showtext, r-cran-sysfonts, r-cran-tikzdevice, r-cran-xml, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-rgraphics_3.0-2-1.ca2004.1_all.deb
Size: 1441428
MD5sum: 0e3c174b2ded0cdd9cfa9155af6e6dc0
SHA1: 38358140b349fade015114d17570209b36706967
SHA256: 415c072342d6579fb4e6f5965a44cf594c9c88ae0e950923bcf9600951d2461b
SHA512: 31cc7854d58da8028ad1649f4142d65abdbdf64314077116b76ec6f8d5fe2f5e50af1641f1b4c0e356012b04241bdc29fa3ea0757d7e14112d70e8f30199dbc4
Homepage: https://cran.r-project.org/package=RGraphics
Description: CRAN Package 'RGraphics' (Data and Functions from the Book R Graphics, Third Edition)
 Data and Functions from the book R Graphics, Third Edition. There is a
 function to produce each figure in the book, plus several functions,
 classes, and methods defined in Chapter 8.

Package: r-cran-rgraphspace
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1410
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgraphspace_1.0.8-1.ca2004.1_all.deb
Size: 628444
MD5sum: bbc4dc6c310beacc47070634d47c974c
SHA1: 7a614bcc51e0019269c46bc19aefe55866ad9dd6
SHA256: f5e39aaeeabe9a62dbcacb97e6ebfc1cccee5d54ba9482d7a425ad0f832e60e9
SHA512: 383060ac559fc74ae4b3660eaf65d9a08635c210520bd8b3d2ae7e4d63196beb08082c9a2d9f560c0c953e03310eee734a803eae4fb2f73d389b7127e81eb5b4
Homepage: https://cran.r-project.org/package=RGraphSpace
Description: CRAN Package 'RGraphSpace' (A Lightweight Interface Between 'ggplot2' and 'igraph' Objects)
 Interface to integrate 'igraph' and 'ggplot2' graphics within spatial maps.
 'RGraphSpace' implements new geometric objects using 'ggplot2' prototypes,
 customized for representing large 'igraph' objects in a normalized
 coordinate system. By scaling shapes and graph elements, 'RGraphSpace' can
 provide a framework for layered visualizations.

Package: r-cran-rgrass7
Architecture: all
Version: 0.2-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml
Suggests: r-cran-rgdal, r-cran-rsqlite, r-cran-sp, r-cran-sf, r-cran-stars, r-cran-terra
Filename: pool/dists/focal/main/r-cran-rgrass7_0.2-13-1.ca2004.1_all.deb
Size: 206352
MD5sum: 523abd2839928c1d0a3b9cb7ea22a61c
SHA1: 3044e2bc35dbd21a7b343975fe2ba0659cb5bd52
SHA256: 6cbf96cc7f32dcb32075c51d33d7e4725538f0709aa39ff57510003fbc4f9013
SHA512: d87757c929aa1987bb7f38e8efd553fdbe8f475dfdb414798928ca0d1fb7320d4670fab6484cbb7540b99d733e2d6657b7c70718c57367eb4936c3b3a4beabce
Homepage: https://cran.r-project.org/package=rgrass7
Description: CRAN Package 'rgrass7' (Deprecated Interface Between GRASS Geographical InformationSystem and R)
 This package will be archived in October 2023 together with 'rgdal'.
 Deprecated interpreted interface between 'GRASS' geographical information
 system and R. Transition to new package 'rgrass'
 <https://grass.osgeo.org/news/2023_06_05_retirement_of_rgrass7/>.

Package: r-cran-rgrass
Architecture: all
Version: 0.5-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2891
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2
Suggests: r-cran-terra, r-cran-sp, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-stars, r-cran-raster, r-cran-codetools, r-cran-testthat, r-cran-withr, r-cran-fs
Filename: pool/dists/focal/main/r-cran-rgrass_0.5-2-1.ca2004.1_all.deb
Size: 1055180
MD5sum: 2a34853052deb936613ff6132db4c520
SHA1: 1816f36dac891da08a0f0b5ac9c3e3a6fe524c17
SHA256: 97b82eabcd37c567352c8c5734f254ba4dc1cc4c79cb461ccb89240584fd320d
SHA512: 32c9b97f71bc95e2bbf37e5d157bb2c90d7759dfb34dbcff58c660903ec71eb9f152db291a99b5857fe47df5b6a9a55291737cd9d292c5143fcb85ba52e90b9e
Homepage: https://cran.r-project.org/package=rgrass
Description: CRAN Package 'rgrass' (Interface Between 'GRASS' Geographical Information System and'R')
 An interface between the 'GRASS' geographical information system ('GIS') and
 'R', based on starting 'R' from within the 'GRASS' 'GIS' environment, or
 running a free-standing 'R' session in a temporary 'GRASS' location; the
 package provides facilities for using all 'GRASS' commands from the 'R'
 command line. The original interface package for 'GRASS 5' (2000-2010) is
 described in Bivand (2000) <doi:10.1016/S0098-3004(00)00057-1> and Bivand
 (2001)
 <https://www.r-project.org/conferences/DSC-2001/Proceedings/Bivand.pdf>.
 This was succeeded by 'spgrass6' for 'GRASS 6' (2006-2016) and 'rgrass7' for
 'GRASS 7' (2015-present). The 'rgrass' package modernizes the interface for
 'GRASS 8' while still permitting the use of 'GRASS 7'.

Package: r-cran-rgrassdoc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-xml2, r-cran-rstudioapi, r-cran-cli
Suggests: r-cran-rgrass7, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rgrassdoc_1.0.0-1.ca2004.1_all.deb
Size: 516336
MD5sum: fa5aaa88c372cb062c09bf87966de1bd
SHA1: e92e750b9267178caa45be56b612a5815420bf98
SHA256: 6c23bdd9889eb830548ada059cba4ec61d5fe55970c72ff185cddaa21190cea8
SHA512: a247ddde5ba9971082ef28cc891f3fefdc08a68d533209ca7b7f732e6989864bcf74960769feef072921899506e1b7e38151cf0aaadab4f856dbd6e74ffd1061
Homepage: https://cran.r-project.org/package=rgrassdoc
Description: CRAN Package 'rgrassdoc' (Consult 'Grass GIS' Documentation in the RStudio Viewer or yourBrowser)
 A tool for easy viewing of the documentation of 'GRASS GIS' (see
 <https://grass.osgeo.org/>). Pages of the 'GRASS GIS' manuals found at
 <https://grass.osgeo.org/grass78/manuals/full_index.html> and at
 <https://grass.osgeo.org/grass78/manuals/addons/> can be viewed within the
 Viewer pane of 'RStudio', or be opened in the user's default browser.

Package: r-cran-rgreenplum
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rpostgres
Suggests: r-cran-dbitest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgreenplum_0.1.2-1.ca2004.1_all.deb
Size: 149412
MD5sum: f57e06ca06790c0e2b6465b158d81cb4
SHA1: 0f7e5c9b8ff0ba935c2e558d7a26ceeed17e6d69
SHA256: e40961a8d26f189ec7a0d07d5a3e1a0497d2b937ebea9f33436c285694acd16c
SHA512: a0d78e1ddd405e6ece741106d3d72f299d13ba5cffa810fbf6ab96728fcbe8447ecb5511bcea46f6eee40e555ef8a00261e04b0cb965b66084b03795b5e37c25
Homepage: https://cran.r-project.org/package=RGreenplum
Description: CRAN Package 'RGreenplum' (Interface to 'Greenplum' Database)
 Fully 'DBI'-compliant interface to 'Greenplum' <https://greenplum.org/>, an
 open-source parallel database. This is an extension of the 'RPostgres'
 package <https://github.com/r-dbi/RPostgres>.

Package: r-cran-rgremlinsconjoint
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1244
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bayesm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgremlinsconjoint_0.9.1-1.ca2004.1_all.deb
Size: 243468
MD5sum: 854ae94e5db4b3e862da809a34e18bc4
SHA1: 06915455d5125eeecfd390fbe04bafe4533aa25a
SHA256: 459e8485275b0cc70040dc21feb3f17b008326b827a8d567ba1f9dbd8c818b17
SHA512: b6f7f933e0270310a21e68b1ca2ddeba2d8329007c0ddd1faae696962a529b5c53aa2087a9fceb4a61f9e1c22bb11bb40f0951b31f03bc0e98efdffe70955a99
Homepage: https://cran.r-project.org/package=RGremlinsConjoint
Description: CRAN Package 'RGremlinsConjoint' (Estimate the "Gremlins in the Data" Model for Conjoint Studies)
 The tools and utilities to estimate the model described in "Gremlin's in the
 Data: Identifying the Information Content of Research Subjects" (Howell et
 al.  (2021) <doi:10.1177/0022243720965930>) using conjoint analysis data
 such as that collected in Sawtooth Software's 'Lighthouse' or 'Discover'
 products.  Additional utilities are included for formatting the input data.

Package: r-cran-rgroovy
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgroovy_1.3-1.ca2004.1_all.deb
Size: 23804
MD5sum: 8cc33225471fbe48e7a696ddc54f24ac
SHA1: 97f49d0141a283304a62693cab43849516bad0d4
SHA256: 88ebbee3aefb3722a390bfafe9266b9299ecc823d1df1c0c3c25254ec78acb58
SHA512: dd23a0bc06816c82d832c7932b661f36a7249ef5dd3e096543258b015b2393ec5628612c858b45f1bdc1eb306804cc64bae18591eaee3d1d00d634dd528d8274
Homepage: https://cran.r-project.org/package=rGroovy
Description: CRAN Package 'rGroovy' (Groovy Language Integration)
 Integrates the Groovy scripting language with the R Project for Statistical
 Computing.

Package: r-cran-rgs
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rms, r-cran-semipar, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgs_1.0-1.ca2004.1_all.deb
Size: 50672
MD5sum: d9a5e76505ed2f5fb0f96dd4a92d1134
SHA1: 972f0aebddf149a7aaab3715a865059d2a2d343d
SHA256: 9291debf030a77256422547c4db79a5beea20a92f6b2fa9cd78257c90b1ad173
SHA512: 1b0355b70362d2ccd78dde1d3659d7cf792cd52eee24b848768aba5fc4bbffe39312b36930ad693c966746f098be11366d1cacfe3ef8ec961ad53c1aee24727b
Homepage: https://cran.r-project.org/package=RGS
Description: CRAN Package 'RGS' (Recursive Gradient Scanning Algorithm)
 Provides a recursive gradient scanning algorithm for discretizing continuous
 variables in Logistic and Cox regression models. This algorithm is
 especially effective in identifying optimal cut-points for variables with
 U-shaped relationships to 'lnOR' (the natural logarithm of the odds ratio)
 or 'lnHR' (the natural logarithm of the hazard ratio), thereby enhancing
 model fit, interpretability, and predictive power. By iteratively scanning
 and calculating gradient changes, the method accurately pinpoints critical
 cut-points within nonlinear relationships, transforming continuous variables
 into categorical ones. This approach improves risk classification and
 regression analysis performance, increasing interpretability and practical
 relevance in clinical and risk management settings.

Package: r-cran-rgsp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgsp_0.2.0-1.ca2004.1_all.deb
Size: 29008
MD5sum: 3d92fb3ccc882378fca1e2d0d8cf620d
SHA1: 5d91ab3c7e1ff2a4442423af37c0981fe32fe63f
SHA256: 03c1a27446690b6ca6a1134e0e8b4465bff73404a80f3688cf97956d688312a5
SHA512: 6931ddbd139e17b89df90f5b8ac6ccf3a4920f651eda36ca3542d53c359fd2e7bae8539461da7b667a90813e4fb0be4651ecc39de99fba92ea129a9a205213dd
Homepage: https://cran.r-project.org/package=rgsp
Description: CRAN Package 'rgsp' (Repetitive Group Sampling Plan Based on Cpk)
 Functions to calculate Sample Number and Average Sample Number for
 Repetitive Group Sampling Plan Based on Cpk as given in Aslam et al. (2013)
 (<DOI:10.1080/00949655.2012.663374>).

Package: r-cran-rgtest
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1174
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ade4
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgtest_0.1-1.ca2004.1_all.deb
Size: 1019800
MD5sum: 4024f0cc9ea8ab17bef1ec2baf23d6ac
SHA1: 2cfb0b4f242b7e2fd8db6d15a3c7e5e42e3b75bf
SHA256: 6f8fb2d9de6bcf34fa11ea259e4dfd877713fa06acf48db15e5fdbfec31c9720
SHA512: 9658d0f3785a417b58e69682c27d2e9bb9f3da990fb44d18df03a9330d661705a7a6624795ddb3bab18bfb57d947696fd4a99d8ac2848b251ff9cb111194a185
Homepage: https://cran.r-project.org/package=rgTest
Description: CRAN Package 'rgTest' (Robust Graph-Based Two-Sample Test)
 Useful tools for determining whether two samples are from the same
 distribution. Utilizes a robust method to address the problematic structure
 of the similarity graph constructed from high-dimensional data. The method
 is provided in Yichuan Bai and Lynna Chu (2023) <arXiv:2307.12325>.

Package: r-cran-rgtmx
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rgtmx_0.1.4-1.ca2004.1_all.deb
Size: 51288
MD5sum: ca926b0874b962de771f05ca7b47c69e
SHA1: be3a1b63eeed7aea1c29a79266c4b4ff24add6d1
SHA256: 706db6c4ab0359a28a8dffac59f1294e544134f6008d2d922790564d0f85d45b
SHA512: 61a42c9235cabeeaf8540dee260a5b4b11ec1eea7ac25bf24c87b5a3e66e7b2197d0a60f2a8b88abec0b6c1280932cfb0d1dc39fd0d3c748b0fde15449e2f00e
Homepage: https://cran.r-project.org/package=rgtmx
Description: CRAN Package 'rgtmx' (Manage GTmetrix Tests in R)
 This is a library to access the current API of the web speed test service
 'GTmetrix'.  It provides a convenient wrapper to start tests, get reports,
 and access all kinds of meta data.  For more information about using the API
 please visit <https://gtmetrix.com/api/docs/2.0/>.

Package: r-cran-rgudhi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2060
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-fs, r-cran-ggplot2, r-cran-purrr, r-cran-r6, r-cran-rdpack, r-cran-reticulate, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rgudhi_0.2.0-1.ca2004.1_all.deb
Size: 1123060
MD5sum: 885e9a6ff29ea21b97829be61085a748
SHA1: d776dc1f4fedc62a077b9d0ae054d46072c47c97
SHA256: 4d4777e54cc015d2cc2b9b9e6c308fafb25caae37ef191dedcc0c1eacf836293
SHA512: 3b5d4dc03601170c6f5af283b88e9302418f8c96760102f27a70691aa62acc76949676a92aad971e3a80647244a47734caf12583e0dea2cdf6b8650e49b3db3c
Homepage: https://cran.r-project.org/package=rgudhi
Description: CRAN Package 'rgudhi' (An Interface to the GUDHI Library for Topological Data Analysis)
 Provides an interface to the GUDHI library which is a generic open source
 C++ library, with a Python interface, for topological data analysis (TDA)
 and higher dimensional geometry understanding. The library offers
 state-of-the-art data structures and algorithms to construct simplicial
 complexes and compute persistent homology.

Package: r-cran-rgugik
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1675
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-jsonlite
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-stars, r-cran-terra, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rgugik_0.4.2-1.ca2004.1_all.deb
Size: 1241084
MD5sum: 79314905879fbded687f8e593e4a38f5
SHA1: 5a9dec001106b39ce33c4d61c80e55ab06b13b9f
SHA256: 806626667f7063a5405a4ef095c1a2960bee495bda2a0ccc4497c67eb6b1c3b9
SHA512: d47043051acdba5e5fcf5e0bafb0bae3728eabb0feb40400b6bd1b700979ef3480fadf3d5590ee94c9cb99db5a925367a2b41e56e657d619bb53cde4429d15d1
Homepage: https://cran.r-project.org/package=rgugik
Description: CRAN Package 'rgugik' (Search and Retrieve Spatial Data from 'GUGiK')
 Automatic open data acquisition from resources of Polish Head Office of
 Geodesy and Cartography ('Główny Urząd Geodezji i Kartografii')
 (<https://www.gov.pl/web/gugik>).  Available datasets include various types
 of numeric, raster and vector data, such as orthophotomaps, digital
 elevation models (digital terrain models, digital surface model, point
 clouds), state register of borders, spatial databases, geometries of
 cadastral parcels, 3D models of buildings, and more.  It is also possible to
 geocode addresses or objects using the geocodePL_get() function.

Package: r-cran-rgv
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chron
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rgv_0.0.5-1.ca2004.1_all.deb
Size: 83312
MD5sum: 64391443f911266c4034f806709745a8
SHA1: 3e40918fad6d263ebc0e03d974bcb92f7d22975a
SHA256: e7419a87649f6e85087f68b94bc8c7c106557148a5f682beb76727d8a8babb46
SHA512: fb43b75e76729a38569047ed4ba01ebb365429969e76b4c4a8ea365923e87db135532ea29cf6e2bdfd3f7fc9e86fea8640eacfa2a7de505cc673d8b66e80008f
Homepage: https://cran.r-project.org/package=rGV
Description: CRAN Package 'rGV' (Analysis of Continuous Glucose Monitor Data)
 Reads in continuous glucose monitor data of many different formats,
 calculates a host of glycemic variability metrics, and plots glucose over
 time.

Package: r-cran-rgw
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rgw_0.3.0-1.ca2004.1_all.deb
Size: 21780
MD5sum: 670d00cb98abe71be8526b2ca4532cee
SHA1: e6f93cdc8ef413bfcc6fbb904f2560f5e6f49bc4
SHA256: 420033c671394aeb6bfa153ab0743205a34cdfa298d42d1259efa48488efc86e
SHA512: 70d1cdfde39063aa3377d940a0e924e966604f4d963b4947b7b5dc6f2db7e520cc91973bf48968ae8b0934f264e52ee7f78b970cf73453293ecff0f766e7e776
Homepage: https://cran.r-project.org/package=rgw
Description: CRAN Package 'rgw' (Goodman-Weare Affine-Invariant Sampling)
 Implementation of the affine-invariant method of Goodman & Weare (2010)
 <DOI:10.2140/camcos.2010.5.65>, a method of producing Monte-Carlo samples
 from a target distribution.

Package: r-cran-rh2
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2823
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chron, r-cran-rjdbc, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rh2_0.2.5-1.ca2004.1_all.deb
Size: 2703992
MD5sum: 887a9caee224ccc9afe9495a52b0bd2a
SHA1: 5d0eba338d36e97edb11ac3ac6155d6f21d74279
SHA256: d3d43ccdb9dff3b05c9c8b389a1840be3e0cfc48a3cb64736f26d622ec702782
SHA512: ccd6590ac3fec1a1f773dbc7239b7f3b9603a19836591bda6ae56bbe6ac3c59154a77eb9ff263e69e1fbb4409960d8b77ec7314237aba5c3fcb41f0e607d3c00
Homepage: https://cran.r-project.org/package=RH2
Description: CRAN Package 'RH2' (DBI/RJDBC Interface to H2 Database)
 DBI/RJDBC interface to h2 database. h2 version 2.3.232 is included.

Package: r-cran-rhandsontable
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11915
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-miniui, r-cran-rstudioapi, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-rhandsontable_0.3.8-1.ca2004.1_all.deb
Size: 3077020
MD5sum: ac8aced8e64883e284329dd87cf4d526
SHA1: 16a3702b82710ff683db5c60d2361c82e5f75c34
SHA256: 596bc529d42e20bef0d289cb898bf7ed0e755a53e61cfd2f61f7cf5db323f259
SHA512: 52c1a91b51ece73cade1c569f9b2e0090ed2f815fa4e28b66db90192cebcb8445ebb36e4030e1d47d3e634320858ee5cbca04ead4a63e7c6820764d88309f9b3
Homepage: https://cran.r-project.org/package=rhandsontable
Description: CRAN Package 'rhandsontable' (Interface to the 'Handsontable.js' Library)
 An R interface to the 'Handsontable' JavaScript library, which is a
 minimalist Excel-like data grid editor.  See <https://handsontable.com/> for
 details.

Package: r-cran-rhawkes
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1018
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ihsep
Filename: pool/dists/focal/main/r-cran-rhawkes_1.0-1.ca2004.1_all.deb
Size: 1005760
MD5sum: 658377d4ce53447a7cc302d07eed677e
SHA1: 2a2c3bb5211aa5f2e68022f6a955abce574ee9d3
SHA256: 59c7ba9cd626d34695ed9f9cd63fa4b6554fc594b42eba46f246c31b6c8a8f81
SHA512: ed15927650119e2f19b05ff7acd4a0702b7236348b9843927ddeef30342dc05fb4fb3aa55acae911940f33acba1d58a19e997093cb3f6012883b1b1a8a444e17
Homepage: https://cran.r-project.org/package=RHawkes
Description: CRAN Package 'RHawkes' (Renewal Hawkes Process)
 The renewal Hawkes (RHawkes) process (Wheatley, Filimonov, and Sornette,
 2016 <doi:10.1016/j.csda.2015.08.007>) is an extension to the classical
 Hawkes self-exciting point process widely used in the modelling of clustered
 event sequence data.  This package provides functions to simulate the
 RHawkes process with a given immigrant hazard rate function and offspring
 birth time density function, to compute the exact likelihood of a RHawkes
 process using the recursive algorithm proposed by Chen and Stindl (2018)
 <doi:10.1080/10618600.2017.1341324>, to compute the Rosenblatt residuals for
 goodness-of-fit assessment, and to predict future event times based on
 observed event times up to a given time. A function implementing the linear
 time RHawkes process likelihood approximation algorithm proposed in Stindl
 and Chen (2021) <doi:10.1007/s11222-021-10002-0> is also included.

Package: r-cran-rhc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-permute, r-cran-lattice, r-cran-ade4, r-cran-geometry, r-cran-vegan, r-cran-fd, r-cran-randomforest, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-rhc_0.1.0-1.ca2004.1_all.deb
Size: 2193540
MD5sum: 45125669727856704013cdca555e12c7
SHA1: 6f7943fb827c191bb7504e5975e6551201f9906b
SHA256: 5af0fd460d97b29af091c7292e0aaf1607f810cfb0c67ddc9cb40403c3979c83
SHA512: b64b9eeec78fa2736112af59901a967984695cf67e836a17a08fb2ffd2646c1476693bdee1b94925c7c47dfae8af0a88061251adc68f397aa57fd0b3714b3728
Homepage: https://cran.r-project.org/package=RHC
Description: CRAN Package 'RHC' (Rangeland Health and Condition)
 The evaluation criteria of rangeland health, condition and landscape
 function analysis based on species diversity and functional diversity of
 rangeland plant communities.

Package: r-cran-rhclust
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-runuran
Filename: pool/dists/focal/main/r-cran-rhclust_2.0.0-1.ca2004.1_all.deb
Size: 123272
MD5sum: c431dd21f9c2cf87790c4d0667ffeb36
SHA1: 8753a2a539628601cf4ca82a30cb05cf1f63197d
SHA256: b9652c4bf2b5fd68d6494d264c2ea65bcdc65318f1235e2fe545f686c7b624c2
SHA512: 426f96f575301b14e476135523b49fb0a0020e767fda197d64bedc3e177a4360e2ff220604512a2f163416b3109ca1ff9913bf661086e261ded3845658762953
Homepage: https://cran.r-project.org/package=RHclust
Description: CRAN Package 'RHclust' (Vector in Partition)
 Non-parametric clustering of joint pattern multi-genetic/epigenetic factors.
 This package contains functions designed to cluster subjects based on gene
 features including single nucleotide polymorphisms (SNPs), DNA methylation
 (CPG), gene expression (GE), and covariate data. The novel concept follows
 the general K-means (Hartigan and Wong (1979) <doi:10.2307/2346830>
 framework but uses weighted Euclidean distances across the gene features to
 cluster subjects. This approach is unique in that it attempts to capture all
 pairwise interactions in an effort to cluster based on their complex
 biological interactions.

Package: r-cran-rhcoclust
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fields, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-rhcoclust_2.0.0-1.ca2004.1_all.deb
Size: 212292
MD5sum: 8a91b94ee220652dc1e258b401aef799
SHA1: 4cbfac36d2c4d98b8fd96d52bdffc6f029977099
SHA256: eaaba5ee3a1b7c5b1043f472bb31c98122ba89a87e9931015b74d31ae11e468c
SHA512: b754c4268ad553acb3a8b57c1a032dd1817e055dc306cf02f6d367e0e7ba7ffe7a0eaa280bd1021ccbfffb1f9e427c3e090270f61e41e21755ab8f5c83d5740f
Homepage: https://cran.r-project.org/package=rhcoclust
Description: CRAN Package 'rhcoclust' (Robust Hierarchical Co-Clustering to Identify SignificantCo-Cluster)
 Here we performs robust hierarchical co-clustering between row and column
 entities of a data matrix in absence and presence of outlying observations.
 It can be used to explore important co-clusters consisting of important
 samples and their regulatory significant features. Please see Hasan, Badsha
 and Mollah (2020) <doi:10.1101/2020.05.13.094946>.

Package: r-cran-rhealthdatagov
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1312
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bit64, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rhealthdatagov_1.0.1-1.ca2004.1_all.deb
Size: 731396
MD5sum: f900dfb9f76e5e6872fdc245031c41e8
SHA1: 3ee5306deb56378751e312ff0d93bfdd3355e76e
SHA256: c843a2c8cb81bcedf3a32a16210e5903631fb5b63cd7bdbde89a6a4a9125f965
SHA512: f203985fe90a3aa6f12c523570f9a64fc35d3a1803a37e19039502c4134f24ffee90639ba1c851364aa2bc48c6ca1615ada761c60e02eabe84b372380673de37
Homepage: https://cran.r-project.org/package=rHealthDataGov
Description: CRAN Package 'rHealthDataGov' (Retrieve data sets from the HealthData.gov data API)
 An R interface for the HealthData.gov data API.  For each data resource, you
 can filter results (server-side) to select subsets of data.

Package: r-cran-rhierbaps
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4040
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-purrr, r-cran-ggplot2, r-cran-matrixstats, r-cran-patchwork
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-ggtree, r-cran-phytools, r-cran-testthat, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-rhierbaps_1.1.4-1.ca2004.1_all.deb
Size: 1546368
MD5sum: 40361934aa593a598ef8be47210d4832
SHA1: 457c2df988b3b8f794143dbc3c946d75a736c7b2
SHA256: 116873a828beb54b93e54e2954c3afc00e846b09750bc17924972f7947319a39
SHA512: 26cd2c44528963e94e22b9d1679d4fe69769bf4fca9014b33520be70e6976072ec724b26f227257f99055e9c69179154ed58fa4bb9fb02c0e52eed2dbf7c7420
Homepage: https://cran.r-project.org/package=rhierbaps
Description: CRAN Package 'rhierbaps' (Clustering Genetic Sequence Data Using the HierBAPS Algorithm)
 Implements the hierarchical Bayesian analysis of populations structure
 (hierBAPS) algorithm of Cheng et al. (2013) <doi:10.1093/molbev/mst028> for
 clustering DNA sequences from multiple sequence alignments in FASTA format.
 The implementation includes improved defaults and plotting capabilities and
 unlike the original 'MATLAB' version removes singleton SNPs by default.

Package: r-cran-rhino
Architecture: all
Version: 1.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 913
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-box, r-cran-box.linters, r-cran-box.lsp, r-cran-callr, r-cran-cli, r-cran-config, r-cran-fs, r-cran-glue, r-cran-lintr, r-cran-logger, r-cran-purrr, r-cran-renv, r-cran-rstudioapi, r-cran-sass, r-cran-shiny, r-cran-styler, r-cran-testthat, r-cran-withr, r-cran-yaml
Suggests: r-cran-covr, r-cran-knitr, r-cran-lifecycle, r-cran-mockery, r-cran-rcmdcheck, r-cran-rex, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny.react, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rhino_1.11.0-1.ca2004.1_all.deb
Size: 286744
MD5sum: edc874be10b18a0c5ec7524aad68100c
SHA1: 493c327ebcbfc873521ceff50f20aeb5e4058b36
SHA256: c95c15374bb9b9a5cf4f6676df98a99062dff9f60990b8aa52644cc9836d2e81
SHA512: 7c4752da26dbd47754d92e3544335941b19c532c3b5e956882c976098ee588816c159908e4170c3a05b20e29c88c93c838a8ceb3f277181246505682388f3f1f
Homepage: https://cran.r-project.org/package=rhino
Description: CRAN Package 'rhino' (A Framework for Enterprise Shiny Applications)
 A framework that supports creating and extending enterprise Shiny
 applications using best practices.

Package: r-cran-rhl7
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomnames, r-cran-dplyr, r-cran-matlab, r-cran-lubridate, r-cran-stringr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-rhl7_1.0.0-1.ca2004.1_all.deb
Size: 86304
MD5sum: 7b7d86d42621fb9506ab05c3fe4bbe14
SHA1: 125076c64ccfca16491c5f35d3d3f2d6d332aa31
SHA256: d76f57402fb2824e1a77df8eb59e784516746cf421daa14fd4ebbcf1a07f8027
SHA512: 87c70d0d34ecaf7268d99dfdc30a1c785c1986e830a1c4d521e1ef36cc0c72065f62e92b06c7681bba0be435c98b46da5f12026eced73516dedce81c920a2458
Homepage: https://cran.r-project.org/package=rHL7
Description: CRAN Package 'rHL7' (Read and Write Health Level 7 Files)
 Read health level 7 transactions and write random health level 7 files.

Package: r-cran-rhmc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rhmc_1.0.0-1.ca2004.1_all.deb
Size: 16008
MD5sum: 9010d4c55e35e97c69d0c0678b47d17b
SHA1: bbf0a0f72dd0bce67bbd4b18d696494d12ad23c9
SHA256: c3eb0d722ebe8bea5b81e913d069db84fd3ead95f05082f950f835603fe9ba95
SHA512: df245d541e35a5cdf16511ae138a878d02a904f2244339ed3e5aa54ec768ada90fb91bc12bd2c6a8637dae7345f52aaa16c958da5e146e0bb3c88baea032a7dc
Homepage: https://cran.r-project.org/package=rhmc
Description: CRAN Package 'rhmc' (Hamiltonian Monte Carlo)
 Implements simple Hamiltonian Monte Carlo routines in R for sampling from
 any desired target distribution which is continuous and smooth. See Neal
 (2017) <arXiv:1701.02434> for further details on Hamiltonian Monte Carlo.
 Automatic parameter selection is not supported.

Package: r-cran-rhms
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pso, r-cran-hmisc, r-cran-network, r-cran-ggally, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rhms_1.7-1.ca2004.1_all.deb
Size: 250860
MD5sum: 211cb557aabf21177daba044edffa81e
SHA1: 894e40d2176b48ae1ed47ca5cf2c7eeb0ef2ac1b
SHA256: 124c8343d16377d38fe6887d109101d73112a9a44c884e14f36cf7ac9e5b6930
SHA512: d183cc160c2d8505d7624b1adb6c22aec9f8dcd9ea57c639e160127031a21ba0f44d87f94bbbe13d8500aed44e656b89d225a408620ebb64428ce1d78511cfa3
Homepage: https://cran.r-project.org/package=RHMS
Description: CRAN Package 'RHMS' (Hydrologic Modelling System for R Users)
 Hydrologic modelling system is an object oriented tool for simulation and
 analysis of hydrologic events. The package proposes functions and methods
 for construction, simulation, visualization, and calibration of a hydrologic
 model.

Package: r-cran-rhnerm
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rhnerm_1.1-1.ca2004.1_all.deb
Size: 31756
MD5sum: 424b54922a89e12d26062220fb7733c3
SHA1: d4fe727ec6d36403b7e2547560c3fff2167db8ef
SHA256: 4a6839633b48e13722a648e0411f893b77707dbc4f6650ec5a938412ade2209a
SHA512: 229de5de8be6068244e4743cd922f785e2e1c117b6c9a27fdca048ad899e5c341c7bf4541db8f35f46dfe7aa9096053e7600da8060126e2a438f00328d398dbd
Homepage: https://cran.r-project.org/package=rhnerm
Description: CRAN Package 'rhnerm' (Random Heteroscedastic Nested Error Regression)
 Performs the random heteroscedastic nested error regression model described
 in Kubokawa, Sugasawa, Ghosh and Chaudhuri (2016)
 <doi:10.5705/ss.202014.0070>.

Package: r-cran-rhoneycomb
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rhoneycomb_2.3.4-1.ca2004.1_all.deb
Size: 155528
MD5sum: 95c2dc9443efab30ca8d5205f7a9a800
SHA1: b8d9bd54771dc51a92ffcd8082233926eeed563f
SHA256: 07e031a8aeff79fcc81553dab0c531b13697865ce844e39bb1c500b09ec6c35a
SHA512: 696a2377f1f3f6c2fdb88cff040e4468a4559f9ce3f0d0b32c527660c394e9c2fe393304f046a68d8a22100e01c34c952690a94e2298b24048840574c9fa4121
Homepage: https://cran.r-project.org/package=rhoneycomb
Description: CRAN Package 'rhoneycomb' (Analysis of Honeycomb Selection Designs)
 A useful statistical tool for the construction and analysis of Honeycomb
 Selection Designs. More information about this type of designs: Fasoula V.
 (2013) <doi:10.1002/9781118497869.ch6> Fasoula V.A., and Tokatlidis I.S.
 (2012) <doi:10.1007/s13593-011-0034-0> Fasoulas A.C., and Fasoula V.A.
 (1995) <doi:10.1002/9780470650059.ch3> Tokatlidis I. (2016)
 <doi:10.1017/S0014479715000150> Tokatlidis I., and Vlachostergios D. (2016)
 <doi:10.3390/d8040029>.

Package: r-cran-rhosa
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2414
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rhosa_0.3.0-1.ca2004.1_all.deb
Size: 1792036
MD5sum: 049ad42d95d3a4e9bdd2536cfb621064
SHA1: 60d4450697d5705b0730f808d9bc97d4a65a5a9f
SHA256: b01b0bab0ded92710cb5f1fd06e6781ac323200a8576902a8ceb2588cec4251b
SHA512: 63691bb2eedf0804b007967d1cba0108f225838a481890b4b35398a21acedddc2944284f45cdfb182dd42e4893b895d08b9f1eadb09dd9192bc672af9341311b
Homepage: https://cran.r-project.org/package=rhosa
Description: CRAN Package 'rhosa' (Higher-Order Spectral Analysis)
 Higher-order spectra or polyspectra of time series, such as bispectrum and
 bicoherence, have been investigated in abundant literature and applied to
 problems of signal detection in a wide range of fields. This package aims to
 provide a simple API to estimate and analyze them. The current
 implementation is based on Brillinger and Irizarry (1998)
 <doi:10.1016/S0165-1684(97)00217-X> for estimating bispectrum or
 bicoherence, Lii and Helland (1981) <doi:10.1145/355958.355961> for
 cross-bispectrum, and Kim and Powers (1979) <doi:10.1109/TPS.1979.4317207>
 for cross-bicoherence.

Package: r-cran-rhosp
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 740
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rhosp_1.10-1.ca2004.1_all.deb
Size: 659000
MD5sum: 3195e1766c1cb81f0a2b462ba3b6cb1a
SHA1: 1edfce2aecb81990e13cb17b4e3fbe9ed974f6cc
SHA256: 47dad39a910d98d669acd5db89067a601353c1692141053c039a90499c4af02b
SHA512: 46062d33e0f3ef6a566136286b282c0a81d2558fac417d4c4ff635a3fd5da24becb916127be18c1ff495bd253f5117c2e29eb4fa554e3108689e30d01c00ab1e
Homepage: https://cran.r-project.org/package=rhosp
Description: CRAN Package 'rhosp' (Side Effect Risks in Hospital : Simulation and Estimation)
 Evaluating risk (that a patient arises a side effect) during hospitalization
 is the main purpose of this package. Several methods (Parametric, non
 parametric and De Vielder estimation) to estimate the risk constant (R) are
 implemented in this package. There are also functions to simulate the
 different models of this issue in order to quantify the previous estimators.
 It is necessary to read at least the first six pages of the report to
 understand the topic.

Package: r-cran-rhpcbenchmark
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-cluster, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rhpcbenchmark_0.1.0-1.ca2004.1_all.deb
Size: 341084
MD5sum: 30460a77245e1d6ff765531730fab750
SHA1: b3e3a465f25903550705c21ea19fa2d4f1fcdceb
SHA256: ec8029035b92d872482302fba273225ac1bdec458fee9c857247471bce76f3cd
SHA512: fadf314e2243c1c72d7ad01f97789d179eb690fcb67cd912ebd817f455b29c329e0b07a7f8720d2812f2fd932f58388baf495bced2fe3c6b5c8521904ed27dc6
Homepage: https://cran.r-project.org/package=RHPCBenchmark
Description: CRAN Package 'RHPCBenchmark' (Benchmarks for High-Performance Computing Environments)
 Microbenchmarks for determining the run time performance of aspects of the R
 programming environment and packages relevant to high-performance
 computation.  The benchmarks are divided into three categories: dense matrix
 linear algebra kernels, sparse matrix linear algebra kernels, and machine
 learning functionality.

Package: r-cran-rhpcc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 372
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-xml
Filename: pool/dists/focal/main/r-cran-rhpcc_1.0-1.ca2004.1_all.deb
Size: 307664
MD5sum: 2db00a3482bdbfb1c6305d20c429292f
SHA1: b2f555b23a3775087e3f321361fe2d1f950feb40
SHA256: ef98d9ac8d3866e2ecd42160624dbb20facced82684cd151f0ffab941d7cba61
SHA512: 73cf221d5ce9cafb4384eba002f6047ef1abc5c585a6eb8eba05c3c07ec1fe9f34e361fb43012d4b78a525b58bbd6476a5fd5132c4d765e44b9c37ab327c1d49
Homepage: https://cran.r-project.org/package=rHpcc
Description: CRAN Package 'rHpcc' (Interface between HPCC and R)
 rHpcc is an R package providing an Interface between R and HPCC.Familiarity
 with ECL (Enterprise Control Language) is a must to use this package.HPCC is
 a massive parallel-processing computing platform that solves Big Data
 problems.ECL is the Enterprise Control Language designed specifically for
 huge data projects using the HPCC platform.Its extreme scalability comes
 from a design that allows you to leverage every query you create for re-use
 in subsequent queries as needed. To do this, ECL takes a dictionary approach
 to building queries wherein each ECL definition defines an Attribute. Each
 previously defined Attribute can then be used in succeeding ECL Attribute
 definitions as the language extends itself as you use it.

Package: r-cran-rhrt
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1404
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-rhrt_1.0.1-1.ca2004.1_all.deb
Size: 1115224
MD5sum: 75e4e1b274df7366869963632718d3fe
SHA1: 5f0dc2921dcdf9716c8329c38c813742a7685f68
SHA256: eedd475448aa7a8192717aa976fe9b3d9a35654f07e932a311a495bdd67c565e
SHA512: b35470286e32135c739af4c39a9f8ed80c4b658bb5e73ce49edd9c10f48e2c759d48a295222d33404beeaa7154d70152a899d1ab01d67c9594705f5921875c30
Homepage: https://cran.r-project.org/package=RHRT
Description: CRAN Package 'RHRT' (Heart Rate Turbulence Analysis)
 Methods to scan RR interval data for Premature Ventricular Complexes (PVCs)
 and parameterise and plot the resulting Heart Rate Turbulence (HRT). The
 methodology of HRT analysis is based on the original publication by Schmidt
 et al. <doi:10.1016/S0140-6736(98)08428-1> and extended with suggestions
 from <doi:10.1088/1361-6579/ab98b3>.

Package: r-cran-rhsdb
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rhsdb_0.2.0-1.ca2004.1_all.deb
Size: 16224
MD5sum: a964a59222caf96df18be1dcc68c9dd3
SHA1: 7ab14873ef2e08e6188e7de6a9f9a8c051b66ea0
SHA256: f7a22b01bd4d9bf920f1e413c27d19ed5561094aba0893f9d5e6f6cca6d121f0
SHA512: 556ced1d142583a1d45b2731efa7a548f8992061d65384e8dfe40f4d416c661b4d69f5a3487265c0098417b0889215892183abdb3783c1b5419ab7d5b3c89182
Homepage: https://cran.r-project.org/package=RHSDB
Description: CRAN Package 'RHSDB' (Ryan-Holm Step-Down Bonferroni or Sidak Procedure)
 The Ryan-Holm step-down Bonferroni or Sidak procedure is to control the
 family-wise (experiment-wise) type I error rate in the multiple comparisons.
 This procedure provides the adjusting p-values and adjusting CIs. The
 methods used in this package are referenced from John Ludbrook (2000)
 <doi:10.1046/j.1440-1681.2000.03223.x>.

Package: r-cran-rht
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rht_1.0-1.ca2004.1_all.deb
Size: 39452
MD5sum: e41a082c5dfe405b683009b920f2af34
SHA1: 75a55b040df29ae7295404bb377572d51de45010
SHA256: cbbee8a744250682387b7195ffc60a3c088c75b643e5853cc3b60bc903339990
SHA512: b6c1088f510234d451cf11c5ed57cb9c8325478d194ffa10e3cd9ee4151f744f0b5e15cd5c8d148a5d981fb068dedc8da93e4632f9850ceaffba1345589be6c3
Homepage: https://cran.r-project.org/package=RHT
Description: CRAN Package 'RHT' (Regularized Hotelling's T-square Test for Pathway (Gene Set)Analysis)
 This package offers functions to perform regularized Hotelling's T-square
 test for pathway or gene set analysis. The package is tailored for but not
 limited to proteomics data, in which sample sizes are often small, a large
 proportion of the data are missing and/or correlations may be present.

Package: r-cran-rhub
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-curl, r-cran-desc, r-cran-gert, r-cran-glue, r-cran-gitcreds, r-cran-jsonlite, r-cran-pkgbuild, r-cran-processx, r-cran-rappdirs, r-cran-rematch, r-cran-r6, r-cran-rprojroot, r-cran-whoami
Suggests: r-cran-asciicast, r-cran-debugme, r-cran-knitr, r-cran-mockery, r-cran-pillar, r-cran-rmarkdown, r-cran-testthat, r-cran-webfakes, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rhub_2.0.1-1.ca2004.1_all.deb
Size: 558200
MD5sum: 273a913af1b225ed72bf3858ff217ce0
SHA1: ad2201ad5fbafd06661c58025c87e2e975c259df
SHA256: ca04cfa036d9e6796680467f97719596080a49dd0f70e8b5976356e08adc5510
SHA512: f97170537cae13e3717d133d5696a722db54da44a04e32500cf70d31795c3cd6bdef45ab85d3980f5452e64bb902ea18659f6f3c131471e106d5ddc4dea565c1
Homepage: https://cran.r-project.org/package=rhub
Description: CRAN Package 'rhub' (Tools for R Package Developers)
 R-hub v2 uses GitHub Actions to run 'R CMD check' and similar package
 checks. The 'rhub' package helps you set up R-hub v2 for your R package, and
 start running checks.

Package: r-cran-rhybridfinder
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1770
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-seqinr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rhybridfinder_0.2.0-1.ca2004.1_all.deb
Size: 1678796
MD5sum: 4fc6c23907b3b8105b738d48c29db3c9
SHA1: c46958e1aefaa4655ecfc6dc340da20929b485b7
SHA256: 677639567815ce12fea88c16ecfc797c28765200b266ecdfe9c0461b3e6f5880
SHA512: 0632e418701c7e4319b6d063d6bff360b66446d68137502f35c02bdfaf463f645ce8f51c9efbc02ea142640fab807f6a708226edebc40b1d4d1d478570534997
Homepage: https://cran.r-project.org/package=RHybridFinder
Description: CRAN Package 'RHybridFinder' (Identification of Hybrid Peptides in Immunopeptidomic Analyses)
 Tool for the analysis Mass Spectrometry (MS) data in the context of
 immunopeptidomic analysis for the identification of hybrid peptides and the
 predictions of binding affinity of all peptides using 'netMHCpan'
 <doi:10.1093/nar/gkaa379> while providing a summary of the netMHCpan output.
 'RHybridFinder' (RHF) is destined for researchers who are looking to analyze
 their MS data for the purpose of identification of potential spliced
 peptides. This package, developed mainly in base R, is based on the workflow
 published by Faridi et al. in 2018 <doi:10.1126/sciimmunol.aar3947>.

Package: r-cran-rhymer
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rhymer_1.2.2-1.ca2004.1_all.deb
Size: 74860
MD5sum: 14cd425c4bd1f9653ba83ca08ab2489d
SHA1: ad0d9ebf79e9a83a8ec3b61ebfa533ab5c41fbf6
SHA256: 5d8caab48fa17fbe086314b867fdb6869e0012b0a64b74667d49e54fe031405a
SHA512: e5d6831f3683758a61658c18b9857042d1aacea11d379804df82e7b631d3e0d20ccbfd9903dbaeabaa0153aab87f26f46f53d4cf30cfa85bf50010ed2cad462b
Homepage: https://cran.r-project.org/package=rhymer
Description: CRAN Package 'rhymer' (Wrapper for the 'Datamuse' API to Find Rhyming and AssociatedWords)
 Wrapper for 'Datamuse' API to find rhyming and other associated words.  This
 includes words of similar meaning, spelling, or other related words. Learn
 more about the 'Datamuse' API here <https://www.datamuse.com/api/>.

Package: r-cran-rhype
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-r6, r-cran-rspectra
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rhype_0.3.0-1.ca2004.1_all.deb
Size: 118652
MD5sum: d2d42a109c4b973e911ed041d1dfb13c
SHA1: 0778e56a60fd769de8727886640136be74fcaaf3
SHA256: 78df3333d483b1ff19549418cf74bbe008b6e9118e201d1f539e1dbf30841355
SHA512: 033d7de82d5297ccd36c43d45f747a1fb15f093804fc7e864927628ce297aaead1837104f7ff146f0b7eec6bb1bce1d31a858d40b110eb513e4787a72c213d8e
Homepage: https://cran.r-project.org/package=rhype
Description: CRAN Package 'rhype' (Work with Hypergraphs in R)
 Create and manipulate hypergraph objects. This early version of rhype allows
 for the output of matrices associated with the hypergraphs themselves. It
 also uses these matrices to calculate hypergraph spectra and perform
 spectral comparison. Functionality coming soon includes calculation of
 hyperpaths and hypergraph centrality measures.

Package: r-cran-ri2
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-randomizr, r-cran-estimatr, r-cran-generics, r-cran-ggplot2, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ri2_0.4.0-1.ca2004.1_all.deb
Size: 320892
MD5sum: a2f4a762ab73568ed0b79583c4c04f48
SHA1: 34597c3402a5a6d7be8682243ca1064f26873d0a
SHA256: 3d625160995dad7c7977e50a1cc137937efa3c0304afe35d7a0bc373b71160c6
SHA512: adb00960746e212a47a97787b9a729e75bbbc7dc7a9d4830da0d0f533bbc9bd30c401f2206ee1c83aaf7bdd7bc36f92d24d4b404509a88326baa25269b95fafd
Homepage: https://cran.r-project.org/package=ri2
Description: CRAN Package 'ri2' (Randomization Inference for Randomized Experiments)
 Randomization inference procedures for simple and complex randomized
 designs, including multi-armed trials, as described in Gerber and Green
 (2012, ISBN: 978-0393979954). Users formally describe their randomization
 procedure and test statistic. The randomization distribution of the test
 statistic under some null hypothesis is efficiently simulated.

Package: r-cran-ri
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ri_0.9-1.ca2004.1_all.deb
Size: 66452
MD5sum: e76dec7e6766b3ea6084603693ef6b3b
SHA1: cd03adbcebb9a52e3ef45e0068631822b54e8442
SHA256: da48e673f4f930730d4bb3793823ef07237e24e25b0bcbae4cbae6b3562b11ef
SHA512: 516868eab518864f6fac2c78f8a612929954028177f56d8281cd7c0bc546cfb3ba7cff0833d0d63c7d728540071b08a0bcd2676c02cb7a8762a61dc119d5bfd9
Homepage: https://cran.r-project.org/package=ri
Description: CRAN Package 'ri' (ri: R package for performing randomization-based inference forexperiments)
 This package provides a set of tools for conducting exact or approximate
 randomization-based inference for experiments of arbitrary design. The
 primary functionality of the package is in the generation, manipulation and
 use of permutation matrices implied by given experimental designs. Among
 other features, the package facilitates estimation of average treatment
 effects, constant effects variance estimation, randomization inference for
 significance testing against sharp null hypotheses and visualization of data
 and results.

Package: r-cran-ria
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-oro.dicom, r-cran-oro.nifti
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nat, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-ria_1.7.2-1.ca2004.1_all.deb
Size: 329172
MD5sum: 51051c468be98a04b4f6c6f382725e9e
SHA1: d1c433e3081f13327d855a3d36e6f0e1f7e9a182
SHA256: d7723b1e1ddd5430f50c346a22b21e13add450c940d087074f105497b196f38d
SHA512: bccf45af50d8eae2760dbd79de14ee6859de01a636f0d859e72aa5c4b83c9f3cc8068597d8f6bd4bf6eabe0d400ee00883b8a1f19474a0ca6db86bb245c9cba3
Homepage: https://cran.r-project.org/package=RIA
Description: CRAN Package 'RIA' (Radiomics Image Analysis Toolbox for Medial Images)
 Radiomics image analysis toolbox for 2D and 3D radiological images. RIA
 supports DICOM, NIfTI, nrrd and npy (numpy array) file formats.  RIA
 calculates first-order, gray level co-occurrence matrix, gray level run
 length matrix and geometry-based statistics. Almost all calculations are
 done using vectorized formulas to optimize run speeds. Calculation of
 several thousands of parameters only takes minutes on a single core of a
 conventional PC. Detailed methodology has been published: Kolossvary et al.
 Circ: Cardiovascular Imaging. 2017;10(12):e006843 <doi:
 10.1161/CIRCIMAGING.117.006843>.

Package: r-cran-riaftbart
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mcmcpack, r-cran-msm, r-cran-dbarts, r-cran-magrittr, r-cran-foreach, r-cran-doparallel, r-cran-dplyr, r-cran-bart, r-cran-stringr, r-cran-tidyr, r-cran-survival, r-cran-cowplot, r-cran-ggplot2, r-cran-twang, r-cran-nnet, r-cran-rrf, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-riaftbart_0.3.3-1.ca2004.1_all.deb
Size: 112068
MD5sum: afed77b1ea990b298972edae8d53b98d
SHA1: 235e3beb59d75d64f5db5e0c13c9442ad1d1e508
SHA256: 0b03bfa649181ef9c1564e9468792b88409f5a6073c757396fb469cc25992451
SHA512: 2d699d8d095ca903fe441d55025cdafbfa6b16423c1c054c29dfa3ddc2188f137530046b174c4dd485e96f8238ceda61389193d01dc3653a24910cc653789381
Homepage: https://cran.r-project.org/package=riAFTBART
Description: CRAN Package 'riAFTBART' (A Flexible Approach for Causal Inference with MultipleTreatments and Clustered Survival Outcomes)
 Random-intercept accelerated failure time (AFT) model utilizing Bayesian
 additive regression trees (BART) for drawing causal inferences about
 multiple treatments while accounting for the multilevel survival data
 structure. It also includes an interpretable sensitivity analysis approach
 to evaluate how the drawn causal conclusions might be altered in response to
 the potential magnitude of departure from the no unmeasured confounding
 assumption.This package implements the methods described by Hu et al. (2022)
 <doi:10.1002/sim.9548>.

Package: r-cran-rib
Architecture: all
Version: 0.25.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6
Filename: pool/dists/focal/main/r-cran-rib_0.25.3-1.ca2004.1_all.deb
Size: 194852
MD5sum: 398f3e6a8c00a3543589332982183446
SHA1: 17361cb66cd67cc10a1cfdffba3f2f65b72721d7
SHA256: 50431a578c7fe6a15e1e511cdd18cf32fc8b532331b5049357b08d5bec51a0d5
SHA512: 773323a5505289acd0354985542f4caf65eee02a9b7767156284d9286cce4f90bd6bfb2d9fe2ab97d60606dd173e443ae46a522cc8814d0e8babc4d9f5b0e4db
Homepage: https://cran.r-project.org/package=rib
Description: CRAN Package 'rib' (An Implementation of 'Interactive Brokers' API)
 Allows interaction with 'Interactive Brokers' 'Trader Workstation'
 <https://interactivebrokers.github.io/tws-api/>.  Handles the connection
 over the network and the exchange of messages.  Data is encoded and decoded
 between user and wire formats.  Data structures and functionality closely
 mirror the official implementations.

Package: r-cran-ribd
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 687
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-glue, r-cran-kinship2, r-cran-slam
Suggests: r-cran-ggplot2, r-cran-ggrepel, r-cran-plotly, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ribd_1.7.1-1.ca2004.1_all.deb
Size: 601344
MD5sum: 103a36d2e196ff281ea41bf69e0b5418
SHA1: 86e2ee2bc04598db4105637ec11e2d00f64ec59c
SHA256: 4cdaeff1240fdb4be8219ba11a35dd9eda51882ab6b2420bd3800c97ff860aea
SHA512: 75b2daa5e15363c7dd9981f62c4c74f3d6a79d3250fe3cf001e2fbb12c9544852c1807700ab41803e76c5eb2093b59ec5718c542b96e087ab02abed66372b850
Homepage: https://cran.r-project.org/package=ribd
Description: CRAN Package 'ribd' (Pedigree-based Relatedness Coefficients)
 Recursive algorithms for computing various relatedness coefficients,
 including pairwise kinship, kappa and identity coefficients. Both autosomal
 and X-linked coefficients are computed.  Founders are allowed to be inbred,
 which enables construction of any given kappa coefficients, as described in
 Vigeland (2020) <doi:10.1007/s00285-020-01505-x>. In addition to the
 standard coefficients, 'ribd' also computes a range of lesser-known
 coefficients, including generalised kinship coefficients, multi-person
 coefficients and two-locus coefficients (Vigeland, 2023,
 <doi:10.1093/g3journal/jkac326>). Many features of 'ribd' are available
 through the online app 'QuickPed' at
 <https://magnusdv.shinyapps.io/quickped>; see Vigeland (2022)
 <doi:10.1186/s12859-022-04759-y>.

Package: r-cran-ribench
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2896
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-optparse, r-cran-digest, r-cran-data.table, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ribench_1.0.2-1.ca2004.1_all.deb
Size: 1050888
MD5sum: 5e62dca6c946a02bd028b40a31b82340
SHA1: 531400b6ffffa93409f9eae8e7be131f447b1612
SHA256: 5a48bd82606f4f73e24b3a343c12fb0e585f221b45c5efde2ea9fa04a81dab86
SHA512: 933c722bd4e5863f4de1aef5c0e09552d06232d2b4162c7892c3d88391fd82af0fbf79443368116021370f4f6723ba137dc68b01d32d4dbc1f977698bd5545b9
Homepage: https://cran.r-project.org/package=RIbench
Description: CRAN Package 'RIbench' (Benchmark Suite for Indirect Methods for RI Estimation)
 The provided benchmark suite enables the automated evaluation and comparison
 of any existing and novel indirect method for reference interval ('RI')
 estimation in a systematic way.  Indirect methods take routine measurements
 of diagnostic tests, containing pathological and non-pathological samples as
 input and use sophisticated statistical methods to derive a model describing
 the distribution of the non-pathological samples, which can then be used to
 derive reference intervals. The benchmark suite contains 5,760 simulated
 test sets with varying difficulty.  To include any indirect method, a custom
 wrapper function needs to be provided.  The package offers functions for
 generating the test sets, executing the indirect method and evaluating the
 results.  See ?RIbench or vignette("RIbench_package") for a more
 comprehensive description of the features.  A detailed description and
 application is described in Ammer T., Schuetzenmeister A., Prokosch H.-U.,
 Zierk J., Rank C.M., Rauh M. "RIbench: A Proposed Benchmark for the
 Standardized Evaluation of Indirect Methods for Reference Interval
 Estimation". Clinical Chemistry (2022) <doi:10.1093/clinchem/hvac142>.

Package: r-cran-rice
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1782
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rintcal, r-cran-rlang, r-cran-ggplot2, r-cran-maps
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8, r-cran-remotes, r-cran-devtools, r-cran-sf, r-cran-rnaturalearthdata, r-cran-rnaturalearth, r-cran-leaflet, r-cran-htmltools, r-cran-copernicusmarine, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rice_1.2.0-1.ca2004.1_all.deb
Size: 1320360
MD5sum: f0bd757db36dda0e42e563f80ebebdf4
SHA1: 858f8048e835e8576c855a4decb6292a59ed527a
SHA256: f6d177e8caaa3aec53c3ab90ce38118c07aaab648963ccbc930b773d14918e75
SHA512: 97082e8733133a776a60008fad30269537f1774338f2fe65a14188604fb06a33093a1ed61532a8aeea04daa1b4aad719436ecb23f48437be0f5097f502cf1b8d
Homepage: https://cran.r-project.org/package=rice
Description: CRAN Package 'rice' (Radiocarbon Equations)
 Provides functions for the calibration of radiocarbon dates, as well as
 options to calculate different radiocarbon realms (C14 age, F14C, pMC, D14C)
 and estimating the effects of contamination or local reservoir offsets
 (Reimer and Reimer 2001 <doi:10.1017/S0033822200038339>). The methods follow
 long-established recommendations such as Stuiver and Polach (1977)
 <doi:10.1017/S0033822200003672> and Reimer et al. (2004)
 <doi:10.1017/S0033822200033154>. This package uses the calibration curves
 from the data package 'rintcal'.

Package: r-cran-ricegeneann
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 903
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-riceidconverter
Filename: pool/dists/focal/main/r-cran-ricegeneann_1.0.2-1.ca2004.1_all.deb
Size: 893968
MD5sum: 78dbaa9859f68028c09889b95e175556
SHA1: 105a2cdd004cd9187be698685bb97d8015233bf3
SHA256: cb4d048a15978c98fe28433bbbfc33167313418194d504553ca6beeda1612900
SHA512: 60ba97ae0fd553b6fb68a84608e89fc7ca764049a207e27681724c074f21dcb4bdbf8c4a040afdd5adfae01d2c978cf9bdc426176101efb408c5d7ddc9f64dd4
Homepage: https://cran.r-project.org/package=ricegeneann
Description: CRAN Package 'ricegeneann' (Gene Annotation of Rice (Oryza Sativa L.spp.japonica))
 Gene annotation of rice (Oryza Sativa L.spp.japonica).  The package is based
 on the annotation file from the website
 <http://plants.ensembl.org/Oryza_sativa/Info/Index>.  Input gene's name then
 return some information, including the from position, the end position, the
 position type and the chromosome number.

Package: r-cran-riceidconverter
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 642
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-riceidconverter_1.1.1-1.ca2004.1_all.deb
Size: 625148
MD5sum: 8c5d4ef0b919a990c86948c71d0e4708
SHA1: 2e976cfcb9262cacda2ddb5cb17902742d453d4c
SHA256: 0e2fecc860465efb7e85c5cefca16667e4ccdf4a67b495ffe41d3b382e6e541d
SHA512: 9475f1959da2da561013c4b68bd8bba436ab44c21e0a7ec2214eaba64b646cea2458105df80e9448790dca002ee43ef0a64f9fc7b4195d17618cbd57612570a4
Homepage: https://cran.r-project.org/package=riceidconverter
Description: CRAN Package 'riceidconverter' (Convert Biological ID from RAP or MSU to SYMBOL for Oryza Sativa)
 Convert one biological ID to another of rice (Oryza sativa).  Rice(Oryza
 sativa) has more than one form gene ID for the genome.  The two main gene ID
 for rice genome are the RAP (The Rice Annotation Project,
 <https://rapdb.dna.affrc.go.jp/>, and the MSU(The Rice Genome Annotation
 Project, <http://rice.plantbiology.msu.edu/>.  All RAP rice gene IDs are of
 the form Os##g####### as explained on the website
 <https://rapdb.dna.affrc.go.jp/>.  All MSU rice gene IDs are of the form
 LOC_Os##g##### as explained on the website
 <http://rice.plantbiology.msu.edu/analyses_nomenclature.shtml>.  All SYMBOL
 rice gene IDs are the unique name on the NCBI(National Center for
 Biotechnology Information, <https://www.ncbi.nlm.nih.gov/>.  The
 TRANSCRIPTID, is the transcript id of rice, are of the form Os##t#######.
 The researchers usually need to converter between various IDs. Such as
 converter RAP to SYMBOLS for function searching on NCBI.  There are a lot of
 websites with the function for converting RAP to MSU or MSU to RA, such as
 'ID Converter' <https://rapdb.dna.affrc.go.jp/tools/converter>.  But it is
 difficult to convert super multiple IDs on these websites.  The package can
 convert all IDs between the three IDs (RAP, MSU and SYMBOL) regardless of
 the number.

Package: r-cran-riceware
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-random
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-riceware_0.4-1.ca2004.1_all.deb
Size: 339400
MD5sum: 881a16c38b853957225fd8467546a383
SHA1: a0f0303731cef6cecddeb4b71b5b8b4a987b9bc9
SHA256: 55b1f5343bb548f69e60aab56b910c3db1926b7eb7f4c267836ae81f0f91af0b
SHA512: 420b696df95cceb7fa3ec27f606bf242ce40f6066ebface8597eee26ebd61c23a2c208b68e9acf442c2f4464de3ec5eaa5e8477582b181f95190a2172242bf15
Homepage: https://cran.r-project.org/package=riceware
Description: CRAN Package 'riceware' (A Diceware Passphrase Implementation)
 The Diceware method can be used to generate strong passphrases.  In short,
 you roll a 6-faced dice 5 times in a row, the number obtained is matched
 against a dictionary of easily remembered words. By combining together 7
 words thus generated, you obtain a password that is relatively easy to
 remember, but would take several millions years (on average) for a powerful
 computer to guess.

Package: r-cran-rich
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-boot
Suggests: r-cran-knitr, r-cran-gplots, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rich_1.0.1-1.ca2004.1_all.deb
Size: 309164
MD5sum: 2255ec20a9caa65b0bbb85ced7b2a8ee
SHA1: 02a3dc2ffee94632f9114b7536d8582d8f4812f0
SHA256: b3b2d2bc9c2115b872d0cb3f5b55a9ed0b21c36c5d66ab5254d5350adc58718b
SHA512: 190a5518fe3477f36fb2a806f5a66992ee68d84a7b08147b405f07f47e19d7952f50d5b8408b0f93d393ab41bc6239cf5b11bdca1c20650a713b38d912e54507
Homepage: https://cran.r-project.org/package=rich
Description: CRAN Package 'rich' (Computes and Compares Species Richnesses)
 Computes rarefaction curves, cumulated and mean species richness. Compares
 these estimates by means of randomization tests.

Package: r-cran-ricrt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-randomforest, r-cran-tidyverse, r-cran-superlearner, r-cran-glmnet, r-cran-rlang, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-ricrt_0.1.0-1.ca2004.1_all.deb
Size: 56732
MD5sum: e2748839d202da959a7b9c26380d0518
SHA1: eee55147a8537d8ff2c0bca9aea9de9a0bc91c7a
SHA256: b7a67735744cf4f68e4ac995568b69611d5a411bc070c00a5d4df9ff934a3058
SHA512: 3489afe4037346d47cfc8f210ee853f43bafb33d43645dc01df68477970642b40a22aca762d8791b040874fb232fddc64d17341ebf3824ca03253b02e544674c
Homepage: https://cran.r-project.org/package=Ricrt
Description: CRAN Package 'Ricrt' (Randomization Inference of Clustered Randomized Trials)
 Methods for randomization inference in group-randomized trials.
 Specifically, it can be used to analyze the treatment effect of stratified
 data with multiple clusters in each stratum with treatment given on cluster
 level.  User may also input as many covariates as they want to fit the data.
 Methods are described by Dylan S Small et al., (2012)
 <doi:10.1198/016214507000000897>.

Package: r-cran-ricu
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2276
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-curl, r-cran-assertthat, r-cran-fst, r-cran-readr, r-cran-jsonlite, r-cran-prt, r-cran-tibble, r-cran-backports, r-cran-rlang, r-cran-vctrs, r-cran-cli, r-cran-fansi, r-cran-openssl
Suggests: r-cran-xml2, r-cran-covr, r-cran-testthat, r-cran-withr, r-cran-mockthat, r-cran-pkgload, r-cran-progress, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-cowplot, r-cran-survival, r-cran-forestmodel, r-cran-rticles, r-cran-kableextra, r-cran-units, r-cran-pdftools, r-cran-magick, r-cran-pillar
Filename: pool/dists/focal/main/r-cran-ricu_0.5.6-1.ca2004.1_all.deb
Size: 1401684
MD5sum: 695228ed268c354487053132f67e8b15
SHA1: 5dfcc3fa8a5ee4976082468262f35205bb05aa84
SHA256: a97e5935307ac6503386db9f569d3c3bce9a812c99fd8b4776c5d14cea74de7f
SHA512: 1c4278f26fa42759880401ee28d22a2ffcf1ea952ec7196f02179121bcaa1deb579491c9de0f39f99147adc24da598f59dd561a0ca69ddf89e68c8eb8119e96e
Homepage: https://cran.r-project.org/package=ricu
Description: CRAN Package 'ricu' (Intensive Care Unit Data with R)
 Focused on (but not exclusive to) data sets hosted on PhysioNet
 (<https://physionet.org>), 'ricu' provides utilities for download, setup and
 access of intensive care unit (ICU) data sets. In addition to functions for
 running arbitrary queries against available data sets, a system for defining
 clinical concepts and encoding their representations in tabular ICU data is
 presented.

Package: r-cran-rideogram
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3628
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-grimport2, r-cran-rsvg, r-cran-scales, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rideogram_0.2.2-1.ca2004.1_all.deb
Size: 2642100
MD5sum: adeca52c65ba5095f5104937980a3584
SHA1: 1e123c06fa07edb79e6c10e7fa6a997ccd4386b3
SHA256: bf9f2fb0c6e604c744256ce51f7469648024840dc7e40210dc0435a89163392e
SHA512: 486ff423394200c4445d0464f239e17f81804b85cbd30b4bb73bf40d39ac4ac7602cdddb5b75221d2e2ce50b0b434a562b68b9a07101acb2aa9223ae6982da00
Homepage: https://cran.r-project.org/package=RIdeogram
Description: CRAN Package 'RIdeogram' (Drawing SVG Graphics to Visualize and Map Genome-Wide Data onIdiograms)
 For whole-genome analysis, idiograms are virtually the most intuitive and
 effective way to map and visualize the genome-wide information. RIdeogram
 was developed to visualize and map whole-genome data on idiograms with no
 restriction of species.

Package: r-cran-ridgefusion
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ridgefusion_1.0-3-1.ca2004.1_all.deb
Size: 80420
MD5sum: 388d21f8077664708fd2e1952467a4ef
SHA1: dad820ca47780e39a5288766c12fc58329568555
SHA256: 2f7900d57d3d067119e2f92beffb046bcfc2bfceb2b614964b12390f6e69ffc9
SHA512: 6e6ae864dae14ff43d16e127b018d2ec1a1857e636319bed14c66972432f7be6b42835bb6d0e4ab6ae5b6384184b4104037a80875ef8deb597aaecf86cf98c45
Homepage: https://cran.r-project.org/package=RidgeFusion
Description: CRAN Package 'RidgeFusion' (R Package for Ridge Fusion in Statistical Learning)
 This package implements ridge fusion methodology for inverse covariance
 matrix estimation for use in quadratic discriminant analysis.  The package
 also contains function for model based clustering using ridge fusion for
 inverse matrix estimation, as well as tuning parameter selection functions.
 We have also implemented QDA using joint inverse covariance estimation.

Package: r-cran-ridgregextra
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotly, r-cran-isdals, r-cran-mctest
Filename: pool/dists/focal/main/r-cran-ridgregextra_0.1.1-1.ca2004.1_all.deb
Size: 27184
MD5sum: 11c480903c1c25e72021aaa5ae9694d0
SHA1: 5caa8333727fc06e4d53f375da9e0c3080942076
SHA256: 56a215805677e96ca0d7c882eff8b45674c841d59f468661a8825742c0f67c8b
SHA512: 574a3ce2eba436ba3119e71c399761ee805d34b1a605947dfbc6febc4d11a08541d6a3d7a3eb5b1b63f7ef8c7fe1c15f87796e8fa158561dc9c3d07e5a4349d3
Homepage: https://cran.r-project.org/package=ridgregextra
Description: CRAN Package 'ridgregextra' (Ridge Regression Parameter Estimation)
 It is a package that provides alternative approach for finding optimum
 parameters of ridge regression. This package focuses on finding the ridge
 parameter value k which makes the variance inflation factors closest to 1,
 while keeping them above 1 as addressed by Michael Kutner, Christopher
 Nachtsheim, John Neter, William Li (2004, ISBN:978-0073108742). Moreover,
 the package offers end-to-end functionality to find optimum k value and
 presents the detailed ridge regression results. Finally it shows three sets
 of graphs consisting k versus variance inflation factors, regression
 coefficients and standard errors of them.

Package: r-cran-ridigbio
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4095
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-httr, r-cran-jsonlite, r-cran-leaflet, r-cran-kableextra, r-cran-tidyverse, r-cran-cowplot
Suggests: r-cran-testthat, r-cran-markdown, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ridigbio_0.4.1-1.ca2004.1_all.deb
Size: 1505284
MD5sum: 49f2bc0ceafc2731b0f22c9f54e0291b
SHA1: 77963c363537a2a58a0ea5857ecc1e58f8c0b88b
SHA256: d71a8625158ae7486711c244fead284e7c2b697dc8cbdef7921bffad8b293873
SHA512: 99cd2238c5df94793d5272cd30b7cb99bc50fb84236a5f8a4799032befc792712ea547f877c5160be09cd0d8d55582a5d77fd4420a9b9dcba4fda15da687256f
Homepage: https://cran.r-project.org/package=ridigbio
Description: CRAN Package 'ridigbio' (Interface to the iDigBio Data API)
 An interface to iDigBio's search API that allows downloading specimen
 records. Searches are returned as a data.frame. Other functions such as the
 metadata end points return lists of information. iDigBio is a US project
 focused on digitizing and serving museum specimen collections on the web.
 See <https://www.idigbio.org> for information on iDigBio.

Package: r-cran-ridittools
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ridittools_0.1-1.ca2004.1_all.deb
Size: 38436
MD5sum: f971619da599e67986596a75b39faa64
SHA1: 25e5ab8d156488dccb86849a003123daeeda4bee
SHA256: 3a19d1112b12e70db93c76e9c5945f8553cbc01c16650fe02138138967443c0e
SHA512: f0c8f1035819ded3615a44a0018c5f31da011fd7c2d0d962c2b412c04a6a1be4c239c192c5c27092b54a2f02b70d7e3925ab899dcb63ea27ffc4635ddb50d511
Homepage: https://cran.r-project.org/package=ridittools
Description: CRAN Package 'ridittools' (Useful Functions for Ridit Analysis)
 Functions to compute ridit scores of vectors, compute mean ridits and their
 standard errors for vectors compared to a reference vector, as described in
 Fleiss (1981, ISBN:0-471-06428-9), and compute means/SEs for multiple groups
 in matrices. Data can be either counts or proportions. Emphasis is on ridit
 analysis of ordered categorical data such as Likert items and pain-rating
 scales.

Package: r-cran-riem
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-forecast, r-cran-ggplot2, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-weathermetrics, r-cran-xts
Filename: pool/dists/focal/main/r-cran-riem_1.0.0-1.ca2004.1_all.deb
Size: 24556
MD5sum: c12dbd8869a3bb56020d568b749f637a
SHA1: 3933e79461c316efe2bfdf786bd55a08c9bdeb56
SHA256: b467abe330997ba3a52bba3db2d47915a2d1038ecba8d65d6193a8f090cbe1f9
SHA512: 0813d9918048835c92057f0915a33bb7b7ce256f0e64612d03db256a79e8f37be3db736816c5f40477e56fc10c6b108d5a07de2b5f7fefc95aabb540a5b529af
Homepage: https://cran.r-project.org/package=riem
Description: CRAN Package 'riem' (Accesses Weather Data from the Iowa Environment Mesonet)
 Allows to get weather data from Automated Surface Observing System (ASOS)
 stations (airports) in the whole world thanks to the Iowa Environment
 Mesonet website.

Package: r-cran-riemtan
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-expm, r-cran-r6, r-cran-purrr, r-cran-mass, r-cran-furrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-riemtan_0.1.0-1.ca2004.1_all.deb
Size: 206588
MD5sum: 8ded23d10e6b2fbddba62300c5246dcf
SHA1: 1c3768f4b1f31af4a0aa675dde5f6de6da3301c4
SHA256: 0a1604855937bf356d4ae8051e0a1bc7939cc6b8d6088e7936e5c01a2159a2d9
SHA512: 0716724082b40b704509b614702e2e3923ebc1538d00b7aa8250233b4f40ae86171c97ec146e4b11f32174412376613f26b8c791e0b82b48473aa513c55ae000
Homepage: https://cran.r-project.org/package=riemtan
Description: CRAN Package 'riemtan' (Riemannian Metrics for Symmetric Positive Definite Matrices)
 Implements various Riemannian metrics for symmetric positive definite
 matrices, including AIRM (Affine Invariant Riemannian Metric, see Pennec,
 Fillard, and Ayache (2006) <doi:10.1007/s11263-005-3222-z>), Log-Euclidean
 (see Arsigny, Fillard, Pennec, and Ayache (2006) <doi:10.1002/mrm.20965>),
 Euclidean, Log-Cholesky (see Lin (2019) <doi:10.1137/18M1221084>), and
 Bures-Wasserstein metrics (see Bhatia, Jain, and Lim (2019)
 <doi:10.1016/j.exmath.2018.01.002>). Provides functions for computing
 logarithmic and exponential maps, vectorization, and statistical operations
 on the manifold of positive definite matrices.

Package: r-cran-riex
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-ttr, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-purrr, r-cran-rjson, r-cran-stringr, r-cran-urltools, r-cran-quantmod
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-riex_1.0.2-1.ca2004.1_all.deb
Size: 125428
MD5sum: 04f99f2f8b5c52698a1ab18adeb9956a
SHA1: 3d7fb9b27fdb775eb1697b50faeae530711e9bf1
SHA256: ecc39304f77d27cc069f37989defd1662db812c0272ecefa05aacf22b765f782
SHA512: 878b4d2f3995d0d07dc443e019db84c0654398140d6424dff7c8450f572037c86ec9e817100cfc85653f469df3356b26ce8d65e0e852ccf4b465f8ee004760c9
Homepage: https://cran.r-project.org/package=Riex
Description: CRAN Package 'Riex' (IEX Stocks and Market Data)
 Retrieves efficiently and reliably Investors Exchange ('IEX') stock and
 market data using 'IEX Cloud API'. The platform is offered by Investors
 Exchange Group (IEX Group).  Main goal is to leverage 'R' capabilities
 including existing packages to effectively provide financial and statistical
 analysis as well as visualization in support of fact-based decisions.  In
 addition, continuously improve and enhance 'Riex' by applying best practices
 and being in tune with users' feedback and requirements.  Please, make sure
 to review and acknowledge Investors Exchange Group (IEX Group) terms and
 conditions before using 'Riex' (<https://iexcloud.io/terms/>).

Package: r-cran-rifle
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rifle_1.0-1.ca2004.1_all.deb
Size: 23108
MD5sum: d89df8df1baf52209ee29675b64750f2
SHA1: e145ab462423131011da2abf2fe07432efd5c955
SHA256: 8880d56af38e3fd6c30446f8669c6fd95ff2dd034beb3de3c3c0df1cda71c612
SHA512: f3e9a8fd99cc0bf458144213aa7386616f921e0e6d57f3946eeb80b4f9f3ed8efc97a131b9698cd2e1e1bd759401872b52197d1b277c431e9c800b5a6fa9ef2b
Homepage: https://cran.r-project.org/package=rifle
Description: CRAN Package 'rifle' (Sparse Generalized Eigenvalue Problem)
 Implements the algorithms for solving sparse generalized eigenvalue problem
 by Tan, et. al. (2018). Sparse Generalized Eigenvalue Problem: Optimal
 Statistical Rates via Truncated Rayleigh Flow.  To appear in Journal of the
 Royal Statistical Society: Series B. <arXiv:1604.08697>.

Package: r-cran-rifreg
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-formula, r-cran-hmisc, r-cran-pbapply, r-cran-sandwich
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rifreg_1.1.0-1.ca2004.1_all.deb
Size: 541744
MD5sum: c87471c2d945620dd081a73f338137d7
SHA1: d7b374490d0baee3898385a8679160d0f3ac4238
SHA256: cba189b436eade7912d9e0c846358d788debd0595c8b3aa30155a019e5090873
SHA512: f32b61747d41f25269fcae4f4a02618561822cff388465aedb2d1bd905a54933588558946db9081a47a5d369eaec29eb91b224eb6756e19d7b339aaba2fcfaad
Homepage: https://cran.r-project.org/package=rifreg
Description: CRAN Package 'rifreg' (Estimate Recentered Influence Function Regression)
 Provides functions to compute recentered influence functions (RIF) of a
 distributional variable at the mean, quantiles, variance, gini or any custom
 functional of interest. The package allows to regress the RIF on any number
 of covariates. Generic print, plot and summary functions are also provided.
 Reference: Firpo, Sergio, Nicole M. Fortin, and Thomas Lemieux. (2009)
 <doi:10.3982/ECTA6822>. "Unconditional Quantile Regressions.".

Package: r-cran-rifs
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rifs_0.1.6-1.ca2004.1_all.deb
Size: 26784
MD5sum: 048fd1837579a5fd44440c20d770a3fc
SHA1: 46343b75f3271b8abe7a0a28b4d8d8b8476b1a6f
SHA256: 77397914fbdedc32038d1909d3ce1b3bc39cc8eaadb95ba9efb86d37e3bb348f
SHA512: 625582db0a7c825eff437bac7cfd8f60bbafcd47febf2b01dfc6c4b18776a1ee3f00bc176063f7a874f4498d147649c27030c2aec230d3b6f970dedd90d2e543
Homepage: https://cran.r-project.org/package=RIFS
Description: CRAN Package 'RIFS' (Random Iterated Function System)
 Pointwise generation and display of attractors (prefractals) of the random
 iterated function system (RIFS) for various combinations of probabilistic
 and geometric parameters of some fixed point sets (protofractals), described
 by Bukhovets A.G. (2012) <doi:10.1134/S0005117912020154>.

Package: r-cran-rifttable
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-purrr, r-cran-risks, r-cran-rlang, r-cran-survival, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-gt, r-cran-knitr, r-cran-markdown, r-cran-quantreg, r-cran-rmarkdown, r-cran-sandwich, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rifttable_0.7.1-1.ca2004.1_all.deb
Size: 391324
MD5sum: 6fd45b2d3798df9bc22af2bb29c4658a
SHA1: ec2d84a38d28ce880cfbd52d3a5aeae52228ec92
SHA256: 4e5223b335d90b007735a8bf97c464fe19cdc6024a1f11aa1838e9c3512fd102
SHA512: b8649ba6e6efdf59061225599d69fb2940d62c9c9b30130e0326872e5437f6497534cd966044adde5c70736f39d921ade5a117a7062fba40ea9cddfb3c6796c0
Homepage: https://cran.r-project.org/package=rifttable
Description: CRAN Package 'rifttable' (Results Tables to Bridge the Rift Between Epidemiologists andTheir Data)
 Presentation-ready results tables for epidemiologists in an automated,
 reproducible fashion. The user provides the final analytical dataset and
 specifies the design of the table, with rows and/or columns defined by
 exposure(s), effect modifier(s), and estimands as desired, allowing to show
 descriptors and inferential estimates in one table -- bridging the rift
 between epidemiologists and their data, one table at a time. See Rothman
 (2017) <doi:10.1007/s10654-017-0314-3>.

Package: r-cran-rigma
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-httr2, r-cran-lubridate, r-cran-magrittr, r-cran-png, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-withr, r-cran-xml2
Suggests: r-cran-covr, r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rigma_0.3.0-1.ca2004.1_all.deb
Size: 131148
MD5sum: 8a91d75a0a776a2e0547522165157fd3
SHA1: 02c9c76204041abc6facdb0c04c4f6f88f75bef6
SHA256: 8b9ab6eaeb8914d06758a3edcc30951aa5645964e0fe9fe8344ead8cce078309
SHA512: 4359fa06d9ab7cd97c1aa42c4a78b85470b26d2f8f5fa6ecb2e8ef72a63998a3e41fb834edd7e7b0e376778ff3ab951be88aea8d50abe07e987e70ccdb146256
Homepage: https://cran.r-project.org/package=Rigma
Description: CRAN Package 'Rigma' (Access to the 'Figma' API)
 The goal of Rigma is to provide a user friendly client to the 'Figma' API
 <https://www.figma.com/developers/api>. It uses the latest `httr2` for a
 stable interface with the REST API. More than 20 methods are provided to
 interact with 'Figma' files, and teams. Get design data into R by reading
 published components and styles, converting and downloading images, getting
 access to the full 'Figma' file as a hierarchical data structure, and much
 more. Enhance your creativity and streamline the application development by
 automating the extraction, transformation, and loading of design data to
 your applications and 'HTML' documents.

Package: r-cran-rigr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 678
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sandwich, r-cran-survival
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-car
Filename: pool/dists/focal/main/r-cran-rigr_1.0.7-1.ca2004.1_all.deb
Size: 508596
MD5sum: 6cc8df8c1b7e7c6753332563155e8105
SHA1: f55cc6a9abd3afe7b7e6c9281efa641404c589ef
SHA256: 50e74f6667441e9937c9db6624f41839cba358b05d51ea7a8ae04cc27dff4f60
SHA512: 4f6ed628e3d95f321aff75ab0d5073d9a625501e23850b937c7c98b746c6151e1530337e51206a462599f80f805b492a308671d08ac16f5be1ca57a96460257e
Homepage: https://cran.r-project.org/package=rigr
Description: CRAN Package 'rigr' (Regression, Inference, and General Data Analysis Tools in R)
 A set of tools to streamline data analysis. Learning both R and introductory
 statistics at the same time can be challenging, and so we created 'rigr' to
 facilitate common data analysis tasks and enable learners to focus on
 statistical concepts. We provide easy-to-use interfaces for descriptive
 statistics, one- and two-sample inference, and regression analyses. 'rigr'
 output includes key information while omitting unnecessary details that can
 be confusing to beginners. Heteroscedasticity-robust ("sandwich") standard
 errors are returned by default, and multiple partial F-tests and tests for
 contrasts are easy to specify. A single regression function can fit both
 linear and generalized linear models, allowing students to more easily make
 connections between different classes of models.

Package: r-cran-riim
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-xgboost, r-cran-optmatch
Suggests: r-cran-vgam, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-riim_2.0.0-1.ca2004.1_all.deb
Size: 52452
MD5sum: 95bfaa4c2cbe0ffd6cc2477887db822e
SHA1: 87a36daf55ccde7c781ec13ad360c430ef10d80c
SHA256: d398972c7d17308e45dda9d58f46e64a31c0ffd15ad3ff610120c0fdba9e2e5a
SHA512: 324902cb65673d3d999a1a027a4da1b6ab5fe69b574abb3bfe96abfc36b8c8a6cb90b04965fb36f41e11168002e7962899b1c04d076617dc8551cd4dcad4c28c
Homepage: https://cran.r-project.org/package=RIIM
Description: CRAN Package 'RIIM' (Randomization-Based Inference Under Inexact Matching)
 Randomization-based inference for average treatment effects in potentially
 inexactly matched observational studies. It implements the inverse
 post-matching probability weighting framework proposed by the authors. The
 post-matching probability calculation follows the approach of Pimentel and
 Huang (2024) <doi:10.1093/jrsssb/qkae033>. The optimal full matching method
 is based on Hansen (2004) <doi:10.1198/106186006X137047>. The variance
 estimator extends the method proposed in Fogarty (2018)
 <doi:10.1111/rssb.12290> from the perfect randomization settings to the
 potentially inexact matching case. Comparisons are made with conventional
 methods, as described in Rosenbaum (2002) <doi:10.1007/978-1-4757-3692-2>,
 Fogarty (2018) <doi:10.1111/rssb.12290>, and Kang et al. (2016)
 <doi:10.1214/15-aoas894>.

Package: r-cran-riingo
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-glue, r-cran-httr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-riingo_0.3.1-1.ca2004.1_all.deb
Size: 116232
MD5sum: 6561092a2a37154f8cfa17d5b7c172e7
SHA1: 5f85c00a71ca82e42ead2e74ca0d80682c0d81b4
SHA256: 064634c60c1d8f601218b122b59c4218bb778feb691256e9726980d084dcba1b
SHA512: 210087a05efbc7df2a4d96ac700b52348c13ef20e90964f28eb37b8cf617c4f59f36993a368cc2105863bd62406cd2bc6e14b5186a6e99170d22bd2b12bb184e
Homepage: https://cran.r-project.org/package=riingo
Description: CRAN Package 'riingo' (An R Interface to the 'Tiingo' Stock Price API)
 Functionality to download stock prices, cryptocurrency data, and more from
 the 'Tiingo' API <https://api.tiingo.com/>.

Package: r-cran-rilostat
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-stringr, r-cran-readr, r-cran-tibble, r-cran-haven, r-cran-data.table
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-rilostat_2.3.1-1.ca2004.1_all.deb
Size: 69536
MD5sum: 833144496bffc71a01538d9b71e913e7
SHA1: 2649a2387b82ac409ea5e056239061d45d8dd30c
SHA256: 4c9e05e36c6361b4f76a1be46623ea66b12a38899508c2034db649256ea8ae7f
SHA512: 6c09192e135d7b976f7cc90ab5eaba6a963e9f6283b49efa16e58cf4332ac0d8475634e87cc90d6d5317017f08298e3ea7c62dd4313bc3d9e28af74b8affc99a
Homepage: https://cran.r-project.org/package=Rilostat
Description: CRAN Package 'Rilostat' (ILO Open Data via Ilostat Bulk Download Facility)
 Tools to download data from the [ilostat](<https://ilostat.ilo.org>)
 database together with search and manipulation utilities.

Package: r-cran-rimagejroi
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.geom
Suggests: r-cran-png, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rimagejroi_0.1.3-1.ca2004.1_all.deb
Size: 69716
MD5sum: 4138959afc907e6275f18e43cd90b910
SHA1: 374660bed5ae37b8513b21525a4b35270dd0b4e5
SHA256: f387dd8b7dad9d9ed54026050917ce02a1e46f6711ef69813f20af1573ddb79b
SHA512: 8797088f916d8eca2d728824e8aa659181b9ddf31e57eeed019418647b32c60f4ab8737fda42c123477ab484da9a5ef88c0fb0e8221a5d0cf28303fa2d4d5fdd
Homepage: https://cran.r-project.org/package=RImageJROI
Description: CRAN Package 'RImageJROI' (Read and Write 'ImageJ' Region of Interest (ROI) Files)
 Provides functions to read and write 'ImageJ' (<https://imagej.net>) Region
 of Interest (ROI) files, to plot the ROIs and to convert them to 'spatstat'
 (<https://spatstat.org/>) spatial patterns.

Package: r-cran-rimagepalette
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-scales, r-cran-jpeg, r-cran-png
Filename: pool/dists/focal/main/r-cran-rimagepalette_0.1.1-1.ca2004.1_all.deb
Size: 38880
MD5sum: 08ff79840e4cf14ded9ac0ac80b04210
SHA1: 9d48883e28fd1017497c7a8d399c31149be0653b
SHA256: 9c0b6527c6c92cecb2875ddddf39987229b48cc1ab855c6540034c3ead33fd00
SHA512: 3494ea374ffb264537b5a5c365a07bfeb590651a98edc57e811d4d44e607de63915b2a61f759895e06da75b43d0f62483f25e465f529ee123c88dae74a905df5
Homepage: https://cran.r-project.org/package=RImagePalette
Description: CRAN Package 'RImagePalette' (Extract the Colors from Images)
 A pure R implementation of the median cut algorithm.  Extracts the dominant
 colors from an image, and turns them into a scale for use in plots or for
 fun!

Package: r-cran-rimpact
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rimpact_1.0-1.ca2004.1_all.deb
Size: 19152
MD5sum: 3b5f025c5dc4cfadb0be7a5b5e9b8060
SHA1: 65c39080d268152ec78918f798bfbe461caedca1
SHA256: 14019acf02ab168ad5672df1b0a212ef3db5dca9066fe58d43e685c14332953f
SHA512: 3f9a9049dd1e32ecb47505e34a50ab2f1b51e5abc97b6d54bdb8bb8c204a9c93a8dcc8c1e89ab55fadd58efd13048ecb43577505e5a8df361f6e6b1edbf3fb9c
Homepage: https://cran.r-project.org/package=RImpact
Description: CRAN Package 'RImpact' (Calculates Measures of Scholarly Impact)
 The metrics() function calculates measures of scholarly impact.  These
 include conventional measures, such as the number of publications and the
 total citations to all publications, as well as modern and robust metrics
 based on the vector of citations associated with each publication, such as
 the h index and many of its variants or rivals.  These methods are described
 in Ruscio et al. (2012) <DOI: 10.1080/15366367.2012.711147>.

Package: r-cran-rimu
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 860
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-upsetr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-vctrs, r-cran-pillar
Filename: pool/dists/focal/main/r-cran-rimu_0.6-1.ca2004.1_all.deb
Size: 691104
MD5sum: a2948f564296b304c8548b73115cd596
SHA1: c666998c8ed3da5c186d62d2005ac465bfe706bd
SHA256: 5861129937f4dc0cf523454f15c0dd70b7afce2ba183b8ea16dd7db088714031
SHA512: d40d5b2b8681107946d72718042ec8edbade848c693e5088ddd0d94937faf8a21e3872ad6dd94ebf8ad9ed482eaf9d5f83305b42190cc39dccd1f2a447b369f4
Homepage: https://cran.r-project.org/package=rimu
Description: CRAN Package 'rimu' (Responses in Multiplex)
 Tools for manipulating, exploring, and visualising multiple-response data,
 including scored or ranked responses. Conversions to and from factors,
 lists, strings, matrices; reordering, lumping, flattening; set operations;
 tables; frequency and co-occurrence plots.

Package: r-cran-rinat
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 763
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-curl, r-cran-plyr, r-cran-jsonlite, r-cran-ggplot2, r-cran-maps, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-sf, r-cran-dplyr, r-cran-lubridate, r-cran-ggforce, r-cran-stringr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-rinat_0.1.9-1.ca2004.1_all.deb
Size: 469380
MD5sum: 5420800797dee2ebb27a4c0fe116c8a5
SHA1: 8c93d8df7638b778c14a0b08c8f5d9b01d8063bf
SHA256: 301aa74d98209b37d2d80d557b0ebbe8c7f5dd2bb908b65ba0ce070167eda9ec
SHA512: d74b04c316c660b7d50ca847c2d1648d3caffea0506dd465137f2ffb4ca6bfe16173c4bfb2a3411e1c4fd0b6bb3bbe18e1df41ea40f7941f486c4183b108f06d
Homepage: https://cran.r-project.org/package=rinat
Description: CRAN Package 'rinat' (Access 'iNaturalist' Data Through APIs)
 A programmatic interface to the API provided by the 'iNaturalist' website
 <https://www.inaturalist.org/> to download species occurrence data submitted
 by citizen scientists.

Package: r-cran-rineq
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sandwich, r-cran-lmtest, r-cran-mfx, r-cran-survey, r-cran-survival
Filename: pool/dists/focal/main/r-cran-rineq_0.3.0-1.ca2004.1_all.deb
Size: 406096
MD5sum: 038e930bd60e9e93c9db85183863d248
SHA1: bc19b8d4f18df37da0e8cf7cb14e59eecd3ee4ef
SHA256: cc3cd117e0662e108f04b3058d4b60689adb4fdd5c333461c9a54f6fcdfd599c
SHA512: d37a3455b1e310b24895d2e46e60f2f39750c315c31a24a62d48be04fec46606e82df981ec973d54cee3eee857994a0eb2af41fbb28120fc5360422780f056c0
Homepage: https://cran.r-project.org/package=rineq
Description: CRAN Package 'rineq' (Concentration Index and Decomposition for Health Inequalities)
 Relative, generalized, and Erreygers corrected concentration index; plot
 Lorenz curves; and decompose health inequalities into contributing factors.
 The package currently works with (generalized) linear models, survival
 models, complex survey models, and marginal effects probit models.
 originally forked by Brecht Devleesschauwer from the 'decomp' package (no
 longer on CRAN), 'rineq' is now maintained by Kaspar Walter Meili. Compared
 to the earlier 'rineq' version on 'github' by Brecht Devleesschauwer
 (<https://github.com/brechtdv/rineq>), the regression tree functionality has
 been removed.  Improvements compared to earlier versions include improved
 plotting of decomposition and concentration, added functionality to
 calculate the concentration index with different methods, calculation of
 robust standard errors, and support for the decomposition analysis using
 marginal effects probit regression models. The development version is
 available at <https://github.com/kdevkdev/rineq>.

Package: r-cran-ringostat
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr2, r-cran-stringr, r-cran-cli, r-cran-readr
Filename: pool/dists/focal/main/r-cran-ringostat_0.1.5-1.ca2004.1_all.deb
Size: 88364
MD5sum: 7863e9a9c9ce5f648d931808ea0f45b2
SHA1: 7b05e1440c694ebedbe347f92aceed0d7bc601e5
SHA256: f6409f2748604e3e4c48ba551b1af3d297a8d91dbd33be9296958842257a8924
SHA512: 6c329188fcb7a76a0296dca42317e81a3cade9021fb3bf5fad0177e9f24b5b60e62bd0705183e39f0201b94dea6ca68e1f3f8ed0ce813c2b3a10658067b4422f
Homepage: https://cran.r-project.org/package=ringostat
Description: CRAN Package 'ringostat' (Load Data from 'Ringostat API')
 Loading calls data from 'Ringostat API'.  See
 <https://help.ringostat.com/knowledge-base/article/integration-with-ringostat-via-api>.

Package: r-cran-rintcal
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4709
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-rintcal_1.2.1-1.ca2004.1_all.deb
Size: 2913300
MD5sum: 5a5f995380b49bc81d227af194cf00a3
SHA1: 4a784045a2417d278ee3d047d0d97679b4336bba
SHA256: 6463f5c418432c6792fbf757b0e9d24f87d1e6a866a5aeb64b1545495706b00b
SHA512: 60384d2ae2e1f1f468a629ea4b3a236ee7e46a5b63ea8144705b08f4074ceb9c95055d8cb911b26e98ea99fa267cfc30270d37d9a12a2bf89fb11ba9bf6fc840
Homepage: https://cran.r-project.org/package=rintcal
Description: CRAN Package 'rintcal' (Radiocarbon Calibration Curves)
 The IntCal20 radiocarbon calibration curves (Reimer et al. 2020
 <doi:10.1017/RDC.2020.68>) are provided as a data package, together with
 previous IntCal curves (IntCal13, IntCal09, IntCal04, IntCal98), other
 curves (e.g., NOTCal04 [van der Plicht et al. 2004], Arnold & Libby 1951)
 and postbomb curves. Also provided are functions to copy the curves into
 memory, and to read, query and plot the data underlying the IntCal20 curves.

Package: r-cran-rintervaltree
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rintervaltree_0.1.0-1.ca2004.1_all.deb
Size: 147692
MD5sum: 79271d0b6aac326f054acc4b74113df4
SHA1: c1750be94d2038d4c08fbbc6712a3ae63332cc35
SHA256: 68d43272f4820f10f4ce256951d3bd25e579a2f03904910bf3f7649f120840c9
SHA512: 1e72fa9c59f4968e88a565c3a1c8938e98e68804589d5f793c1fd7e66e6a91340a08a0067dbe5a2bfe2e64068d721c99fc8b072053635d3ceea98b3632eca458
Homepage: https://cran.r-project.org/package=rIntervalTree
Description: CRAN Package 'rIntervalTree' (An Interval Tree Tool for Real Numbers)
 This tool can be used to build binary interval trees using real number
 inputs.  The tree supports queries of intervals overlapping a single number
 or an interval (start, end).  Intervals with same bounds but different names
 are treated as distinct intervals.  Insertion of intervals is also allowed.
 Deletion of intervals is not implemented at this point.  See Mark de Berg,
 Otfried Cheong, Marc van Kreveld, Mark Overmars (2008). Computational
 Geometry: Algorithms and Applications, for a reference.

Package: r-cran-rintimg
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Filename: pool/dists/focal/main/r-cran-rintimg_0.1.0-1.ca2004.1_all.deb
Size: 15484
MD5sum: a861124be15f5a6f8c824c25b60ae723
SHA1: 3054920663d67f46a394879d3372a376bfea23fc
SHA256: f754a5a23e1ea95f078a1ab5d4aa05d83f05392abc150ceefae9ace574c61989
SHA512: 7327a56339e00e6cd8dda6167a08931f123ced938e56a8cd7550532002491ef54fa7d9adbaac7d2fc0636970fd2c6b3ff00c00f5b74547e1a549cec4286f90fa
Homepage: https://cran.r-project.org/package=rintimg
Description: CRAN Package 'rintimg' (View Images on Full Screen in 'RMarkdown' Documents and 'shiny'Applications)
 Allows the user to view an image in full screen when clicking on it in
 'RMarkdown' documents and 'shiny' applications.  The package relies on the
 'JavaScript' library 'intense-images'. See
 <https://tholman.com/intense-images/> for more information.

Package: r-cran-rintrojs
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rintrojs_0.3.4-1.ca2004.1_all.deb
Size: 53124
MD5sum: 7b15bdf02db016de8d182ab379100eb0
SHA1: 33d7e12c99262dc9d5e1f8611dd5b68bcb177bca
SHA256: 19e0a66de9bf9de5d48ca4c9418d0e47aebffcac6391174543921626c63f4695
SHA512: 25ea5651501675bcbd6e201791d1974a1c020c21733e216bbd0bae8d869594d7ffcf0ea07aad482e7df60187e481ca73b8bbf40dbc540708c1e53b6ce1fb05ca
Homepage: https://cran.r-project.org/package=rintrojs
Description: CRAN Package 'rintrojs' (Wrapper for the 'Intro.js' Library)
 A wrapper for the 'Intro.js' library (For more info:
 <https://introjs.com/>).  This package makes it easy to include step-by-step
 introductions, and clickable hints in a 'Shiny' application. It supports
 both static introductions in the UI, and programmatic introductions from the
 server-side.

Package: r-cran-rio
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreign, r-cran-haven, r-cran-curl, r-cran-data.table, r-cran-readxl, r-cran-tibble, r-cran-writexl, r-cran-lifecycle, r-cran-r.utils, r-cran-readr
Suggests: r-cran-bit64, r-cran-testthat, r-cran-knitr, r-cran-magrittr, r-cran-clipr, r-cran-fst, r-cran-hexview, r-cran-jsonlite, r-cran-pzfx, r-cran-readods, r-cran-rmarkdown, r-cran-rmatio, r-cran-xml2, r-cran-yaml, r-cran-qs, r-cran-arrow, r-cran-stringi, r-cran-withr, r-cran-nanoparquet
Filename: pool/dists/focal/main/r-cran-rio_1.2.3-1.ca2004.1_all.deb
Size: 526964
MD5sum: b99b8b74830dc1399a15dc673cc7e311
SHA1: 0a64dae737f80ddabecf1ef1628adb5273be4b83
SHA256: b63b23d724db62c3f62052b03454c074cd8d72312f1af47bd5b506e786ed59e9
SHA512: 31a6858ed833a3b178c8726ba10199f66643a49dd857c6334df5055aba50cb195eb8d346e13a65fe45c19325bd4b74cebfed92a49d7d43e07ae536899a193e58
Homepage: https://cran.r-project.org/package=rio
Description: CRAN Package 'rio' (A Swiss-Army Knife for Data I/O)
 Streamlined data import and export by making assumptions that the user is
 probably willing to make: 'import()' and 'export()' determine the data
 format from the file extension, reasonable defaults are used for data import
 and export, web-based import is natively supported (including from
 SSL/HTTPS), compressed files can be read directly, and fast import packages
 are used where appropriate. An additional convenience function, 'convert()',
 provides a simple method for converting between file types.

Package: r-cran-rioplot
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 923
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggrepel, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rioplot_1.1.1-1.ca2004.1_all.deb
Size: 691400
MD5sum: d461213321c145dea8bfbebd7c7e4059
SHA1: 0f5eaab1587c1128286a8a0e3c866e9a735e157f
SHA256: ad636c619a977fb197675decae9a5047add06d7b4b8498b032389672f42f1897
SHA512: 194e286800c647e2163f4983da8a24e514bcad0dd2d0566ae7e4d10de6db128e4a8102ad416d9d1623f145429b048350b6135d628312ebd5a63ce9bc6b9352cd
Homepage: https://cran.r-project.org/package=rioplot
Description: CRAN Package 'rioplot' (Turn a Regression Model Inside Out)
 Turns regression models inside out. Functions decompose variances and
 coefficients for various regression model types. Functions also visualize
 regression model objects using techniques developed in Schoon, Melamed, and
 Breiger (2024) <doi:10.1017/9781108887205>.

Package: r-cran-rip
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-iptools, r-cran-dplyr, r-cran-amerika, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rip_1.2.0-1.ca2004.1_all.deb
Size: 43424
MD5sum: 1eba7a8fee4cbcae4a20b3827248e80d
SHA1: 056e5b737652bf2c3e1e942f86ee85d63563a11a
SHA256: b57ee8cfedb1184ac3a459d34f98e3662f19f485c04ff57686cdc43e7dbdacd5
SHA512: 5bb84f55a3f0aa705faa0472950ab9bd8dbe42f43c5e8c565d5963723260e6465016a5d4813fb03fe7eaa3c2f05fa9b39cfd033afaca239bf436fee46c137029
Homepage: https://cran.r-project.org/package=rIP
Description: CRAN Package 'rIP' (Detects Fraud in Online Surveys by Tracing, Scoring, andVisualizing IP Addresses)
 Takes an array of IPs and the keys for the services the user wishes to use
 (IP Hub, IP Intel, and Proxycheck), and passes these to all respective APIs.
 Returns a dataframe with the IP addresses (used for merging), country, ISP,
 labels for non-US IP Addresses, VPS use, and recommendations for blocking.
 The package also provides optional visualization tools for checking the
 distributions. Additional functions are provided to call each discrete API
 endpoint. The package and methods are detailed in the recent paper Waggoner,
 Kennedy, and Clifford (2019) <doi:10.21105/joss.01285>.

Package: r-cran-ripc
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ripc_0.3.1-1.ca2004.1_all.deb
Size: 155868
MD5sum: 6fe4cb99977cc4935bdb34b12ede9af4
SHA1: 62c6221b3faf69b82076ee67096a5f2a40eb8c2e
SHA256: 3fe3de70f630e49f69ce35a6fb1ee5979a057725a8052483f361e726d1304547
SHA512: 33f61af3d62976e7a8163636a122669b20bb10309248294dc5ab222984542cdfc7c042b762674d92d4771bfbc6bcac72783b5787fd6d39f8b1f3bd30315bd59a
Homepage: https://cran.r-project.org/package=ripc
Description: CRAN Package 'ripc' (Download and Tidy IPC and CH Data)
 Utilities to access Integrated Food Security Phase Classification (IPC) and
 Cadre Harmonisé (CH) food security data. Wrapper functions are available for
 all of the 'IPC-CH' Public API (<https://docs.api.ipcinfo.org>) simplified
 and advanced endpoints to easily download the data in a clean and tidy
 format.

Package: r-cran-rirods
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-httr2, r-cran-jsonlite, r-cran-rappdirs, r-cran-testthat, r-cran-withr
Suggests: r-cran-httptest2, r-cran-kableextra, r-cran-knitr, r-cran-purrr, r-cran-readr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rirods_0.2.0-1.ca2004.1_all.deb
Size: 200984
MD5sum: 1a76d8560a520cd5b8b701c8566043c7
SHA1: cae8339cab80d179d1b87dbd417d617b76c327f7
SHA256: 65e0e7a25ca10772c94be9b0f6663b48415b6e18ae017093c3a842ac0d543183
SHA512: 5f9e4a954b1205333eb41847d859829b2e0783974ab0398fdacb40951a7caf1ecf32899d72424692368ab7c21dae9afb495df0f8bded3427c05f1ae34ccbeb46
Homepage: https://cran.r-project.org/package=rirods
Description: CRAN Package 'rirods' (R Client for 'iRODS')
 The open sourced data management software 'Integrated Rule-Oriented Data
 System' ('iRODS') offers solutions for the whole data life cycle
 (<https://irods.org/>). The loosely constructed and highly configurable
 architecture of 'iRODS' frees the user from strict formatting constraints
 and single-vendor solutions. This package provides an interface to the
 'iRODS' HTTP API, allowing you to manage your data and metadata in 'iRODS'
 with R. Storage of annotated files and R objects in 'iRODS' ensures
 findability, accessibility, interoperability, and reusability of data.

Package: r-cran-risca
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-relsurv, r-cran-reticulate, r-cran-tune, r-cran-nlme, r-cran-mass, r-cran-mvtnorm, r-cran-statmod, r-cran-doparallel, r-cran-foreach, r-cran-nnet, r-cran-kernlab, r-cran-glmnet, r-cran-caret, r-cran-superlearner, r-cran-rpart, r-cran-mosaic, r-cran-cubature
Filename: pool/dists/focal/main/r-cran-risca_1.0.7-1.ca2004.1_all.deb
Size: 1364420
MD5sum: 995793090aa69aaed40de955379eeb16
SHA1: 4e54381543a22d510335f280baca7f895071d7bb
SHA256: 38ea746176f2930a85054d3522e908c744cab8df81177740ffaf06c1c97324b8
SHA512: ebd692c0d9c7764d5e5ce448c86a57429a17b8f80120f5f7651b76322d81459a5a49436b05bc490b36dd21b8624611dcbf8a68b82ac1d283809eea70b0cafe4d
Homepage: https://cran.r-project.org/package=RISCA
Description: CRAN Package 'RISCA' (Causal Inference and Prediction in Cohort-Based Analyses)
 Numerous functions for cohort-based analyses, either for prediction or
 causal inference. For causal inference, it includes Inverse Probability
 Weighting and G-computation for marginal estimation of an exposure effect
 when confounders are expected. We deal with binary outcomes,
 times-to-events, competing events, and multi-state data. For multistate
 data, semi-Markov model with interval censoring may be considered, and we
 propose the possibility to consider the excess of mortality related to the
 disease compared to reference lifetime tables. For predictive studies, we
 propose a set of functions to estimate time-dependent receiver operating
 characteristic (ROC) curves with the possible consideration of
 right-censoring times-to-events or the presence of confounders. Finally,
 several functions are available to assess time-dependent ROC curves or
 survival curves from aggregated data.

Package: r-cran-rise
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rise_1.0.4-1.ca2004.1_all.deb
Size: 18092
MD5sum: 16d684a937a4e1466af58937ab2e55ab
SHA1: ee16937947414eac1ae97e2f9dfacb861ca1d6e7
SHA256: e6169474e8db971b31b9e76c59e5b6a7fa3888ee1af73f8cce6fd7a32595ba48
SHA512: 155d163e9976f2dbac86aa4d59452c6e287f8c1214ce49fae32a6e10fe150a506424a28f99e3674b2650ab50a64f4f227a6c560afe3621d31fafcf7287f769df
Homepage: https://cran.r-project.org/package=rise
Description: CRAN Package 'rise' (Conduct RISE Analysis)
 Implements techniques for educational resource inspection, selection, and
 evaluation (RISE) described in Bodily, Nyland, and Wiley (2017)
 <doi:10.19173/irrodl.v18i2.2952>. Automates the process of identifying
 learning materials that are not effectively supporting student learning in
 technology-mediated courses by synthesizing information about access to
 course content and performance on assessments.

Package: r-cran-risk
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-risk_1.0-1.ca2004.1_all.deb
Size: 83888
MD5sum: 10ca25c08eceaeb8bf137b72ed07f08c
SHA1: 470b137def7c10f134e1265595e7867b34e0c32e
SHA256: ebdef58d87fe77a57a84530b6d743caed4e7d265b83a95a2b3e16690624f2418
SHA512: 6963b8f2976baaeeb969e44f93a78af2cec9f3d66efc9a1fcbcf822ec9057778d5560f6c3af91b49dc889c0bedf28c465d73c6b3a4dbe734842ed877b726de97
Homepage: https://cran.r-project.org/package=Risk
Description: CRAN Package 'Risk' (Computes 26 Financial Risk Measures for Any ContinuousDistribution)
 Computes 26 financial risk measures for any continuous distribution.  The 26
 financial risk measures include value at risk, expected shortfall due to
 Artzner et al. (1999) <DOI:10.1007/s10957-011-9968-2>, tail conditional
 median due to Kou et al. (2013) <DOI:10.1287/moor.1120.0577>, expectiles due
 to Newey and Powell (1987) <DOI:10.2307/1911031>, beyond value at risk due
 to Longin (2001) <DOI:10.3905/jod.2001.319161>, expected proportional
 shortfall due to Belzunce et al. (2012)
 <DOI:10.1016/j.insmatheco.2012.05.003>, elementary risk measure due to
 Ahmadi-Javid (2012) <DOI:10.1007/s10957-011-9968-2>, omega due to Shadwick
 and Keating (2002), sortino ratio due to Rollinger and Hoffman (2013), kappa
 due to Kaplan and Knowles (2004), Wang (1998)'s
 <DOI:10.1080/10920277.1998.10595708> risk measures, Stone (1973)'s
 <DOI:10.2307/2978638> risk measures, Luce (1980)'s <DOI:10.1007/BF00135033>
 risk measures, Sarin (1987)'s <DOI:10.1007/BF00126387> risk measures,
 Bronshtein and Kurelenkova (2009)'s risk measures.

Package: r-cran-riskclustr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mlogit, r-cran-stringr, r-cran-matrix
Suggests: r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-dplyr, r-cran-knitr, r-cran-usethis, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-riskclustr_0.4.1-1.ca2004.1_all.deb
Size: 385520
MD5sum: 93c4aea967aa44b6b5bd2066f9655d6a
SHA1: b3d64617bd04d3a4e7949152ac9a57ac17bcf7c3
SHA256: 984dc8935b151f57c672680bd5f684fae2358365477e49aa9d2dc35de458e1fe
SHA512: 1a9e9381d63064aa50ea5436544df9ba825066ecfde0d0d03fa6ee60b956b02e2d0e4913c2fbd3165849c9ed6a6097fc68f97b94ba5fa065e53196e7b94ee964
Homepage: https://cran.r-project.org/package=riskclustr
Description: CRAN Package 'riskclustr' (Functions to Study Etiologic Heterogeneity)
 A collection of functions related to the study of etiologic heterogeneity
 both across disease subtypes and across individual disease markers. The
 included functions allow one to quantify the extent of etiologic
 heterogeneity in the context of a case-control study, and provide p-values
 to test for etiologic heterogeneity across individual risk factors. Begg CB,
 Zabor EC, Bernstein JL, Bernstein L, Press MF, Seshan VE (2013)
 <doi:10.1002/sim.5902>.

Package: r-cran-riskcommunicator
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1540
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-mass, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse, r-cran-printr, r-cran-stringr, r-cran-formatr, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-riskcommunicator_1.0.1-1.ca2004.1_all.deb
Size: 1100932
MD5sum: 435d725d0b3e23deb0fe42f2016c5cba
SHA1: a871ffdaca6a74ad6bb01cc685c71b02527e1b36
SHA256: 21b87e4651835953dc81b07e2afcb4f14382dcfd9f53d6c80efd4aa62841b146
SHA512: 4c58b02db86c3e2cb5c7e34c443ffb0fe57d8b0d23375459bcde33162d280280eba90292991e13f59eb5ec3948e2ec3ea3ffde3f71ead2b1606e5931326538d3
Homepage: https://cran.r-project.org/package=riskCommunicator
Description: CRAN Package 'riskCommunicator' (G-Computation to Estimate Interpretable Epidemiological Effects)
 Estimates flexible epidemiological effect measures including both
 differences and ratios using the parametric G-formula developed as an
 alternative to inverse probability weighting.  It is useful for estimating
 the impact of interventions in the presence of
 treatment-confounder-feedback. G-computation was originally described by
 Robbins (1986) <doi:10.1016/0270-0255(86)90088-6> and has been described in
 detail by Ahern, Hubbard, and Galea (2009) <doi:10.1093/aje/kwp015>;
 Snowden, Rose, and Mortimer (2011) <doi:10.1093/aje/kwq472>; and Westreich
 et al. (2012) <doi:10.1002/sim.5316>.

Package: r-cran-riskdiff
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-ggplot2
Suggests: r-cran-kableextra, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-riskdiff_0.2.1-1.ca2004.1_all.deb
Size: 379204
MD5sum: 4deb2af4228f4ac8cbadc84190085b76
SHA1: 029c24967af7260a790bb140f3568f1d8d44675e
SHA256: a20495966cc25285d960be9f6afb7badf146267fa5d1c30ce052e0a6536d6993
SHA512: b6c8f357af3633d2fcb68789eb9ea8357f60959ac838d9cef783795ee4ec7a88c4e3038349973ca17c04b42e91eeee9c2d539b86c54147b349498809b7e75dc7
Homepage: https://cran.r-project.org/package=riskdiff
Description: CRAN Package 'riskdiff' (Risk Difference Estimation with Multiple Link Functions andInverse Probability of Treatment Weighting)
 Calculates risk differences (or prevalence differences for cross-sectional
 data) using generalized linear models with automatic link function
 selection. Provides robust model fitting with fallback methods, support for
 stratification and adjustment variables, inverse probability of treatment
 weighting (IPTW) for causal inference, and publication-ready output
 formatting. Handles model convergence issues gracefully and provides
 confidence intervals using multiple approaches.  Methods are based on
 approaches described in Mark W. Donoghoe and Ian C. Marschner (2018)
 "logbin: An R Package for Relative Risk Regression Using the Log-Binomial
 Model" <doi:10.18637/jss.v086.i09> for robust GLM fitting, Peter C. Austin
 (2011) "An Introduction to Propensity Score Methods for Reducing the Effects
 of Confounding in Observational Studies" <doi:10.1080/00273171.2011.568786>
 for IPTW methods, and standard epidemiological methods for risk difference
 estimation as described in Kenneth J. Rothman, Sander Greenland and Timothy
 L. Lash (2008, ISBN:9780781755641) "Modern Epidemiology".

Package: r-cran-riskmap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 501
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-ggplot2, r-cran-matrix, r-cran-maxlik, r-cran-terra, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-riskmap_0.1.0-1.ca2004.1_all.deb
Size: 467712
MD5sum: 349365686cc20c3ba6417c8a801224af
SHA1: ae8bc6636a5840cbc579d266c8ff42c58298af08
SHA256: ca1d5b216d3af5ba05d9bf597b7eec575809606b39bc953aafada59fa7af2ba0
SHA512: 041657e13ddf2448728fbff0f6564234c6f8ce4aabbbfe59450b668eb3f9e96a33a884021d768d6cfe2b9584418f638cc3882e69c00219680f2a49f90067d4d4
Homepage: https://cran.r-project.org/package=RiskMap
Description: CRAN Package 'RiskMap' (Geo-Statistical Modeling of Spatially Referenced Data)
 Provides functions for geo-statistical analysis of both continuous and count
 data using maximum likelihood methods. The models implemented in the package
 use stationary Gaussian processes with Matern correlation function to carry
 out spatial prediction in a geographical area of interest. The underpinning
 theory of the methods implemented in the package are found in Diggle and
 Giorgi (2019, ISBN: 978-1-138-06102-7).

Package: r-cran-riskmetric
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1552
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-backports, r-cran-xml2, r-cran-httr, r-cran-curl, r-cran-urltools, r-cran-memoise, r-cran-biocmanager, r-cran-cranlogs, r-cran-covr, r-cran-vctrs, r-cran-pillar, r-cran-tibble, r-cran-pkgload, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-magrittr, r-cran-dplyr, r-cran-testthat, r-cran-webmockr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-riskmetric_0.2.5-1.ca2004.1_all.deb
Size: 808752
MD5sum: 8ac19131c001ae6b2b0ac20e91cf4496
SHA1: adf0360f25580bbb0974bd22c40c1edbc0605dbd
SHA256: 6378a1f0196f9f09e06eb0c70cca70905b65f57c361c684976d9b2f8f317f733
SHA512: 64a11357a0d8eee07f385bd0c7a43d158f4f119fda6e2b9976db2ae5dfa7c22d47bafde9a4be7c3a8c0d685a0cf3ba491587466f934066d5c1b9ccccef3c9fa8
Homepage: https://cran.r-project.org/package=riskmetric
Description: CRAN Package 'riskmetric' (Risk Metrics to Evaluating R Packages)
 Facilities for assessing R packages against a number of metrics to help
 quantify their robustness.

Package: r-cran-riskportfolios
Architecture: all
Version: 2.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-quadprog, r-cran-nloptr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-riskportfolios_2.1.7-1.ca2004.1_all.deb
Size: 97736
MD5sum: 39c4dd31763a1cdc0c3c05ca0c924c2f
SHA1: 0099a952d2cad954cfe14a452ec406969c2bf1c3
SHA256: 3a07d49511b8c3a0fb7f2e6aff0829455ea268c9469837e3344411970c7f7b15
SHA512: 086ea38e92514f76aa3879a17d517290905f64c57125ee0843f7a70e5ddadf12b50230b52aa584f73a153d4323dd1b2ade05b602a4c189c6bb0fc48600f5f2c7
Homepage: https://cran.r-project.org/package=RiskPortfolios
Description: CRAN Package 'RiskPortfolios' (Computation of Risk-Based Portfolios)
 Collection of functions designed to compute risk-based portfolios as
 described in Ardia et al. (2017) <doi:10.1007/s10479-017-2474-7> and Ardia
 et al. (2017) <doi:10.21105/joss.00171>.

Package: r-cran-riskpredictclustdata
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gee, r-cran-hmisc, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-riskpredictclustdata_0.2.6-1.ca2004.1_all.deb
Size: 86884
MD5sum: c46ff5d2fab982116c58c8757ad9f508
SHA1: 92431e158effac47dbf4ce4ad078efb36f9ee1a3
SHA256: af6a2454287d93dd43431733a6df271c9bb91b65210d7ac1527d0e59ad6a0ef3
SHA512: 33ef7b1ec1318b9dc42cc1a12c0fb74c799ed670d564375707abeed36970686161807ca7132ce463507ce58e0f4ddca6a72ee9245f663c8ad7638b1f98a13d15
Homepage: https://cran.r-project.org/package=riskPredictClustData
Description: CRAN Package 'riskPredictClustData' (Assessing Risk Predictions for Clustered Data)
 Assessing and comparing risk prediction rules for clustered data. The method
 is based on the paper: Rosner B, Qiu W, and Lee MLT.(2013) <doi:
 10.1007/s10985-012-9240-6>.

Package: r-cran-riskr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-riskr_1.1-1.ca2004.1_all.deb
Size: 58068
MD5sum: 54481fd5a05fbf4642ed7f1c4c009cb4
SHA1: 6bf35096bcc35ac26a3856be363fb49ed74bddad
SHA256: 97af04112cd2c2de1eec308a2dcbdbff3d199fedb720d6ff3c678345e60b516c
SHA512: 830e372553467d7ceff2070794f97c9f0118238af8ebca80877ce223b02f2690a0581eb7b847725b7d091b145aebe38c3464ad61042813639edd9bdbe499432e
Homepage: https://cran.r-project.org/package=riskR
Description: CRAN Package 'riskR' (Risk Management)
 Computes risk measures from data, as well as performs risk management
 procedures.

Package: r-cran-risks
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1495
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-bcaboot, r-cran-broom, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-sandwich, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-addreg, r-cran-covr, r-cran-knitr, r-cran-logbin, r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-risks_0.4.3-1.ca2004.1_all.deb
Size: 1387272
MD5sum: 259257395df965f234cfbe18cd3bde35
SHA1: a9c8b608f235e06d21cc9e9626546bf8676403ba
SHA256: a7ef28da5f1793a6ca3bf7b96ecadc3d81d19320431e09e7f87caa9df57ce0e8
SHA512: 45735e0452d5f2788e1c542e6492a1fcf6cbb2c6eea07a36a8ce66f99e88f513d9034c2b05226e601f856510b839ca49c3789eb0b6d11364a45b4187d1dede32
Homepage: https://cran.r-project.org/package=risks
Description: CRAN Package 'risks' (Estimate Risk Ratios and Risk Differences using Regression)
 Risk ratios and risk differences are estimated using regression models that
 allow for binary, categorical, and continuous exposures and confounders.
 Implemented are marginal standardization after fitting logistic models
 (g-computation) with delta-method and bootstrap standard errors, Miettinen's
 case-duplication approach (Schouten et al. 1993,
 <doi:10.1002/sim.4780121808>), log-binomial (Poisson) models with empirical
 variance (Zou 2004, <doi:10.1093/aje/kwh090>), binomial models with starting
 values from Poisson models (Spiegelman and Hertzmark 2005,
 <doi:10.1093/aje/kwi188>), and others.

Package: r-cran-riskscores
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-proc
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-riskscores_1.2.1-1.ca2004.1_all.deb
Size: 166444
MD5sum: 72269374e497993330ec962992dc999a
SHA1: c472d266b17a63dbbafb1ed5411bc824e1db0789
SHA256: 0b71960eae1d405d087397d198a36e75f3a9923f0c3cad9976809aefd88d51bd
SHA512: 9b64f805e820163c45d65d4989418337d8978bd0a202f3015beec5a5b193c7ad9d51c64b174c2c0b6683f73aff66b866bdd50fe6aa11e02a6655d506f3a6eb7d
Homepage: https://cran.r-project.org/package=riskscores
Description: CRAN Package 'riskscores' (Optimized Integer Risk Score Models)
 Implements an optimized approach to learning risk score models, where
 sparsity and integer constraints are integrated into the model-fitting
 process.

Package: r-cran-riskscorescvd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-pooledcohort
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-riskscorescvd_0.2.0-1.ca2004.1_all.deb
Size: 227928
MD5sum: fc1d4ed19e036f6d6f9097e5aa1d8e21
SHA1: cecec6c0cd87a6cd03e3bf4a891103fd025fdd2f
SHA256: c030e6f7ec33d471c98dd3f39ae83c2480163625425709adfac188564939f67d
SHA512: 9e40b0dec4c9e41c3be8dd26b85494b0a179282d190c3777e6e88d766dd27bcc1852bc581007b0e2ecaf8ca64895f87a4095f299ea497ead90ab69ca7c43274e
Homepage: https://cran.r-project.org/package=RiskScorescvd
Description: CRAN Package 'RiskScorescvd' (Cardiovascular Risk Scores Calculator)
 A tool to calculate Cardiovascular Risk Scores in large data frames.
 Cardiovascular risk scores are statistical tools used to assess an
 individual's likelihood of developing a cardiovascular disease based on
 various risk factors, such as age, gender, blood pressure, cholesterol
 levels, and smoking. Here we bring together the six most commonly used in
 the emergency department. Using 'RiskScorescvd', you can calculate all the
 risk scores in an extended dataset in seconds. PCE (ASCVD) described in
 Goff, et al (2013) <doi:10.1161/01.cir.0000437741.48606.98>. EDACS described
 in Mark DG, et al (2016) <doi:10.1016/j.jacc.2017.11.064>. GRACE described
 in Fox KA, et al (2006) <doi:10.1136/bmj.38985.646481.55>. HEART is
 described in Mahler SA, et al (2017)
 <doi:10.1016/j.clinbiochem.2017.01.003>. SCORE2/OP described in SCORE2
 working group and ESC Cardiovascular risk collaboration (2021)
 <doi:10.1093/eurheartj/ehab309>. TIMI described in Antman EM, et al (2000)
 <doi:10.1001/jama.284.7.835>. SCORE2-Diabetes described in SCORE2-Diabetes
 working group and ESC Cardiovascular risk collaboration (2023)
 <doi:10.1093/eurheartj/ehab260>. SCORE2/OP with CKD add-on described in
 Kunihiro M et al (2022) <doi:10.1093/eurjpc/zwac176>.

Package: r-cran-risksetroc
Architecture: all
Version: 1.0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-risksetroc_1.0.4.1-1.ca2004.1_all.deb
Size: 86536
MD5sum: 7fc7ba4557a5afdb93c0187e2f2c6d5e
SHA1: d18f1169c27ed1dc3836ae69451b4de20ead5d9d
SHA256: 3b82a6637b220d90ac04ef9caf426edabdf74ba1f39b56d09adc08aea9e535a3
SHA512: efac76bb589a547ded386085728a5e662dc2db216dbffc5548bfd603c6a5be7fb242763914de46e70248564873f03f67043b02c03d2836b43565042ee7880295
Homepage: https://cran.r-project.org/package=risksetROC
Description: CRAN Package 'risksetROC' (Riskset ROC Curve Estimation from Censored Survival Data)
 Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC,
 integrated AUC )from censored survival data under proportional or
 non-proportional hazard assumption of Heagerty & Zheng (Biometrics, Vol 61
 No 1, 2005, PP 92-105).

Package: r-cran-risksimul
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-runuran
Filename: pool/dists/focal/main/r-cran-risksimul_0.1.2-1.ca2004.1_all.deb
Size: 64948
MD5sum: a0a79c201cec8761072a6f3eabd5b537
SHA1: 5bb2a3d02893690a1997143f5ddceb75fa713fac
SHA256: 0e4958d5894052da1056f70d264b0a80358a56c1319545f83df695d0deae663e
SHA512: 504b35a2bc28d9a9804021d80b509b3494d4e3f943b99e946670a275ebbe50b986bb78f4435997c69f48dbf0c808e3494e22e74d07522f5b54ffdd0f53aa7101
Homepage: https://cran.r-project.org/package=riskSimul
Description: CRAN Package 'riskSimul' (Risk Quantification for Stock Portfolios under the T-CopulaModel)
 Implements efficient simulation procedures to estimate tail loss
 probabilities and conditional excess for a stock portfolio. The log-returns
 are assumed to follow a t-copula model with generalized hyperbolic or t
 marginals.

Package: r-cran-riskyr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4219
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-riskyr_0.4.0-1.ca2004.1_all.deb
Size: 2618260
MD5sum: c347b0c6620ede0a0905df8435856480
SHA1: 753e4ae7d4fac57bfdb08c7681b063f972e249e0
SHA256: 894781907392952ac9a7c536e84b91bffee142280f8a06283b3ad2ccb6d2080b
SHA512: 8ac32093e5f51924754946b2aff36907dad92986350a36430833a09d042f15778d5b9727739ef25aa8b7c3aaf25da4c25eab5dd735f2ee913d6de498bbce1c2a
Homepage: https://cran.r-project.org/package=riskyr
Description: CRAN Package 'riskyr' (Rendering Risk Literacy more Transparent)
 Risk-related information (like the prevalence of conditions, the sensitivity
 and specificity of diagnostic tests, or the effectiveness of interventions
 or treatments) can be expressed in terms of frequencies or probabilities. By
 providing a toolbox of corresponding metrics and representations, 'riskyr'
 computes, translates, and visualizes risk-related information in a variety
 of ways. Adopting multiple complementary perspectives provides insights into
 the interplay between key parameters and renders teaching and training
 programs on risk literacy more transparent.

Package: r-cran-rismed
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rismed_2.3.0-1.ca2004.1_all.deb
Size: 479988
MD5sum: ae6ccae51df46a74d584f7d9b932b5b4
SHA1: 92bf18e9c18521ffc0837433f28992f49dc19308
SHA256: a9f554252dd2a0c816ed961b4a8775926d1f1e9ad52dbdae73a6d5e08bd90ce3
SHA512: 0c61283d0b6fffce527c1de479203f6f4c5bbc176405a3d6e5f3479b07cda1633eca61b8fcb331c332631477cd85ee01a5ee4ec868e0272ea183841afaaab7a9
Homepage: https://cran.r-project.org/package=RISmed
Description: CRAN Package 'RISmed' (Download Content from NCBI Databases)
 A set of tools to extract bibliographic content from the National Center for
 Biotechnology Information (NCBI) databases, including PubMed. The name
 RISmed is a portmanteau of RIS (for Research Information Systems, a common
 tag format for bibliographic data) and PubMed.

Package: r-cran-rita
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-rita_1.2.0-1.ca2004.1_all.deb
Size: 82944
MD5sum: bec52af3073b67dc6bace285a87c2705
SHA1: c0a7b05843a411f7f5fb5176d30f22487f5b0c9a
SHA256: daf447f9ac15ca62433d29ac30fd1570cb2da0f6ef4278c409ecab47c866facb
SHA512: 195e5eac7bad399c3b3804e78360754654b10afbced4523484bea60b793c8927b2cfd4cd3cf9c64afab0f47cc8418dad5285cb326a1703eeb9c06a6106a6976b
Homepage: https://cran.r-project.org/package=Rita
Description: CRAN Package 'Rita' (Automated Transformations, Normality Testing, and Reporting)
 Automated performance of common transformations used to fulfill parametric
 assumptions of normality and identification of the best performing method
 for the user. Output for various normality tests (Thode, 2002) corresponding
 to the best performing method and a descriptive statistical report of the
 input data in its original units (5-number summary and mathematical moments)
 are also presented. Lastly, the Rankit, an empirical normal quantile
 transformation (ENQT) (Soloman & Sawilowsky, 2009), is provided to
 accommodate non-standard use cases and facilitate adoption.  <DOI:
 10.1201/9780203910894>.  <DOI: 10.22237/jmasm/1257034080>.

Package: r-cran-ritalic
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4065
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-sf, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ritalic_0.11.0-1.ca2004.1_all.deb
Size: 1345296
MD5sum: eabe584b8c75a494f35d863a8437037a
SHA1: a6898279cb040c1dd0e25ea01e0b162bedafe27c
SHA256: c0300867f353c16159d1436db382e3f23b4804cd1c6b0707aa3a033588b716d0
SHA512: 5fe6837e0854a348c51e517fb952113e492fcd6c7c00e0341f5bacc9706bcd93a4694b1c320103ccafe48ff78ddada1f8ee832bf5da15d2270e3a0617a63a4e0
Homepage: https://cran.r-project.org/package=ritalic
Description: CRAN Package 'ritalic' (Interface to the ITALIC Database of Lichen Biodiversity)
 A programmatic interface to the Web Service methods provided by ITALIC
 (<https://italic.units.it>).  ITALIC is a database of lichen data in Italy
 and bordering European countries. 'ritalic' includes functions for
 retrieving information about lichen scientific names, geographic
 distribution, ecological data, morpho-functional traits and identification
 keys.  More information about the data is available at
 <https://italic.units.it/?procedure=base&t=59&c=60>.  The API documentation
 is available at <https://italic.units.it/?procedure=api>.

Package: r-cran-ritc
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-ritc_1.3-1.ca2004.1_all.deb
Size: 38564
MD5sum: b43f13e0e14067f6b6cad29cb10b409b
SHA1: 95468673f66ac0414d59031cab19c4c0ad78ebd8
SHA256: 67264e15415dcef8a516e2bb3b2602035de950a02afbb26e1414eed34da633fc
SHA512: e625219d3595d7f783ed69447354395fcab21e743c188cbc2c5b1881ed41052412bc58d268bd5cca5b5dd0b2f6e3e1f4527727a7d7cc53ab8e91c7c0fb5da56c
Homepage: https://cran.r-project.org/package=Ritc
Description: CRAN Package 'Ritc' (Isothermal Titration Calorimetry (ITC) Data Analysis)
 Selected functions for simulation and regression of integrated Isothermal
 Titration Calorimetry (ITC) data with the most commonly used one-to-one
 binding model.

Package: r-cran-ritis
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-solrium, r-cran-crul, r-cran-jsonlite, r-cran-data.table, r-cran-tibble
Suggests: r-cran-testthat, r-cran-webmockr, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-ritis_1.0.0-1.ca2004.1_all.deb
Size: 150132
MD5sum: afd4c8954bd3466730e9b7e07a3cf721
SHA1: 1d93dca7ce0dd5e7b8c5c38fcd313894ba3f9cbe
SHA256: e8808568eafa6a369204d96024f4dd366ec4afbf3d4d9282bc650bd86b29f31f
SHA512: 52a5c76770e4d79ed0d0121c45f2a1900601be2a9944d90d7da4131a3f5a7b2353663bca25a693f59af5fd775b8234071a3693e3d48861f20450e1c0f7c0c28e
Homepage: https://cran.r-project.org/package=ritis
Description: CRAN Package 'ritis' (Integrated Taxonomic Information System Client)
 An interface to the Integrated Taxonomic Information System ('ITIS')
 (<https://www.itis.gov>). Includes functions to work with the 'ITIS' REST
 API methods (<https://www.itis.gov/ws_description.html>), as well as the
 'Solr' web service (<https://www.itis.gov/solr_documentation.html>).

Package: r-cran-ritools
Architecture: all
Version: 0.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-abind, r-cran-xtable, r-cran-svd, r-cran-sparsem, r-cran-tidyr, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ritools_0.3-5-1.ca2004.1_all.deb
Size: 302084
MD5sum: 2620743bedf3bed20beadf82eb308707
SHA1: d9244ef36e9acba714a821ea5047c278cb063b68
SHA256: ce8005764f80f9fc1661c69693165f36c4b46fc19b5428433bec5f8996ff9093
SHA512: a4fb18c7982628957ba8c9352cee873bab4845df58ec9100d0a59eff3876e4b1b475f15547735833d4cf2db92396d7bdd146f03d336f888adfac2e5e1837ac17
Homepage: https://cran.r-project.org/package=RItools
Description: CRAN Package 'RItools' (Randomization Inference Tools)
 Tools for randomization-based inference. Current focus is on the d^2 omnibus
 test of differences of means following Hansen and Bowers (2008)
 <doi:10.1214/08-STS254> . This test is useful for assessing balance in
 matched observational studies or for analysis of outcomes in
 block-randomized experiments.

Package: r-cran-riv
Architecture: all
Version: 2.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rrcov, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-riv_2.0-5-1.ca2004.1_all.deb
Size: 62600
MD5sum: 1269abfd19fcda9aff9c01e8d00cbe8e
SHA1: 665ca39124a6ecb69a9290531f312d3e265c0031
SHA256: 0432c5499ccdf06f1bd2d204bc35bcf5a881447bce27e1892f0ca87b4b3115a1
SHA512: 0f6fa680ca251a23b00d8e3e0a6f326118f2286fa9b2b9f2ecba4aa3d54db09b638fb251ca02d7ae85eb7da265a8d165fbf81f8752b68954fc80e64d67a5958c
Homepage: https://cran.r-project.org/package=riv
Description: CRAN Package 'riv' (Robust Instrumental Variables Estimator)
 Finds a robust instrumental variables estimator using a high breakdown point
 S-estimator of multivariate location and scatter matrix.

Package: r-cran-riverbuilder
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-riverbuilder_0.1.1-1.ca2004.1_all.deb
Size: 1115648
MD5sum: c39f1e0bcd2bf7e84d745c2cec9871a9
SHA1: f0faca73d860112150670e760c677edd0d8e1a4a
SHA256: 17307e902b1e3459d96223d667e43e78b970623550d9e9463ad259bd4926ae7e
SHA512: 268ec06c943914fe884e570941eec27fcbc541f7685cd9b3cc6050f8521373add4dc29a2bdcc3e41431eeae6eed0f798449c8f7caa57ee44765d2fcf8febce66
Homepage: https://cran.r-project.org/package=RiverBuilder
Description: CRAN Package 'RiverBuilder' (River Generation for Given Data Sets)
 Generates graphs, CSV files, and coordinates related to river valleys when
 calling the riverbuilder() function.

Package: r-cran-riverconn
Architecture: all
Version: 0.3.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-igraph, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-dodgr, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-viridis, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-riverconn_0.3.31-1.ca2004.1_all.deb
Size: 124264
MD5sum: 6f0b27c27a8c0265217c831107c871b7
SHA1: 965821bf7f55db55d4d667a5918ca4906a731799
SHA256: 9780f663e618210ae601b67417869fa51090dd33c7229c6e6f93f9187e9f1997
SHA512: 1f0ccc8036dcfd89f9af9778562cf189f7e9e81c6f30d1faec8b6dccffdb04ce63e80f63b34ef62e857d14e1f029610811a290e4d242538b51c4b17ac226387c
Homepage: https://cran.r-project.org/package=riverconn
Description: CRAN Package 'riverconn' (Fragmentation and Connectivity Indices for Riverscapes)
 Indices for assessing riverscape fragmentation, including the Dendritic
 Connectivity Index, the Population Connectivity Index, the River
 Fragmentation Index, the Probability of Connectivity, and the Integral Index
 of connectivity. For a review, see Jumani et al. (2020)
 <doi:10.1088/1748-9326/abcb37> and Baldan et al. (2022)
 <doi:10.1016/j.envsoft.2022.105470> Functions to calculate temporal indices
 improvement when fragmentation due to barriers is reduced are also included.

Package: r-cran-riverdist
Architecture: all
Version: 0.17.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3984
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-riverdist_0.17.1-1.ca2004.1_all.deb
Size: 3536332
MD5sum: ab2ecb25c6cc876b3186b4152341cc56
SHA1: edbd43202eebad16b4fc0427a1a3534dfc7cbd02
SHA256: ca6fcb56a528e57104210652c84b5cac12910db0e03cd53212f9349681f42b6d
SHA512: 42f7fe33312688f805a0fda43dad6e8b93c8accf5832d90211cb4be3d8c991725a7a3715ec60459ead6eaf814e59a5e2dc36e7ce35799f63aa85249ed62db110
Homepage: https://cran.r-project.org/package=riverdist
Description: CRAN Package 'riverdist' (River Network Distance Computation and Applications)
 Reads river network shape files and computes network distances.  Also
 included are a variety of computation and graphical tools designed for
 fisheries telemetry research, such as minimum home range, kernel density
 estimation, and clustering analysis using empirical k-functions with a
 bootstrap envelope.  Tools are also provided for editing the river networks,
 meaning there is no reliance on external software.

Package: r-cran-riverload
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imputets
Filename: pool/dists/focal/main/r-cran-riverload_1.0.3-1.ca2004.1_all.deb
Size: 196848
MD5sum: 520a36c76e24a1fa6678ca479bad449f
SHA1: 31b297be8f012aaebf62e73141edfcdd73c20037
SHA256: 507ece1cbede52fe4e1af1d7ed7cc8b89f1dc44e7dd9beae23056c8a2c7f50c2
SHA512: 10a807b98e9c872c6e64ba520b862318843e43f41b7786575b6b16147bc6cf9041fec048bca2fa1f6ec7f2291e64738098a5f02727a6b0b2d02b2b21016f40af
Homepage: https://cran.r-project.org/package=RiverLoad
Description: CRAN Package 'RiverLoad' (Load Estimation of River Compounds with Different Methods)
 Implements several of the most popular load estimation procedures, including
 averaging methods, ratio estimators and regression methods. The package
 provides an easy-to-use tool to rapidly calculate the load for various
 compounds and to compare different methods. The package also supplies
 additional functions to easily organize and analyze the data.

Package: r-cran-rivernet
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rivernet_1.2.3-1.ca2004.1_all.deb
Size: 141864
MD5sum: d09b96408b58fdbc760d0c24805bc100
SHA1: 89eca23d211a55368355b0bb625e974cfd89c64f
SHA256: 2e935fe1bc69475b29882924d42a9f7e9d05206a0069159a148bd56f030d1543
SHA512: ad96c3516ae658faf66badca05947803f6f89bb265ba555b0ce71efe5e0d28259a11a654e9bec7aabb0f2516f5a44a207e1e968e07a5e0feb476ce17578790ac
Homepage: https://cran.r-project.org/package=rivernet
Description: CRAN Package 'rivernet' (Read, Analyze and Plot River Networks)
 Functions for reading, analysing and plotting river networks.  For this
 package, river networks consist of sections and nodes with associated
 attributes, e.g. to characterise their morphological, chemical and
 biological state.  The package provides functions to read this data from
 text files, to analyse the network structure and network paths and regions
 consisting of sections and nodes that fulfill prescribed criteria, and to
 plot the river network and associated properties.

Package: r-cran-riverplot
Architecture: all
Version: 0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-maptools, r-cran-qpdf, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-riverplot_0.10-1.ca2004.1_all.deb
Size: 777380
MD5sum: 9edd77b594f9c5af88980b6840c4bea9
SHA1: d4a16d5f0b700321b0130663544e341f8b288f2d
SHA256: 700a20de00e253dadea59cb90cdc740dc1244fd0adfd581692449fd25640dcc6
SHA512: de8185bea7ca352bdd990a97a64d439497a52a3d6b51ae4a43e417841dc1b13765fc7d14cf2d3ac24f5ecf66fdf8adcc83bc1f56e0f84898ceca28b548a700d2
Homepage: https://cran.r-project.org/package=riverplot
Description: CRAN Package 'riverplot' (Sankey or Ribbon Plots)
 Sankey plots are a type of diagram that is convenient to illustrate how flow
 of information, resources etc. separates and joins, much like observing how
 rivers split and merge. For example, they can be used to compare different
 clusterings.

Package: r-cran-rivervis
Architecture: all
Version: 0.46.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rivervis_0.46.0-1.ca2004.1_all.deb
Size: 131588
MD5sum: 810616f83d53b5b46ef590cb67958a0a
SHA1: 69bc4bbdf7a30c867ff8682f129b1096adecf732
SHA256: 3a93006533775d63afcc34e14daaf03156050e904651bdc07a91b9fb1449202f
SHA512: 980eff12903ffc02364d00d4327b8c427d7b2aed955291b0feb3e2c6dd66f1f5891c8867e21166b023f4beef484c4d968673fee7b6156298fe112ca992ee7352
Homepage: https://cran.r-project.org/package=rivervis
Description: CRAN Package 'rivervis' (River Visualisation Tool)
 This R package is a flexible and efficient tool to visualise both
 quantitative and qualitative data from river surveys.  It can be used to
 produce diagrams with the topological structure of the river network.

Package: r-cran-rivivc
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Filename: pool/dists/focal/main/r-cran-rivivc_0.9.1-1.ca2004.1_all.deb
Size: 36540
MD5sum: b8119f58037d171b28fd7372d14fd935
SHA1: 07a60af5ca40c4c141a7c23fb9ed22f1bb887c72
SHA256: da520d91781e2cf4ba12aabd80e613cdc42f3cf33d18f7ec963e20e59528a1e1
SHA512: 11aeab5997f22ee385ddc70a3cc6f3236cd48de541717581a0d6554a0a72047686b533b5b16cc942190d72d64fa33e3bb1a193e5dd97f2e9b63dc03c03cc4c52
Homepage: https://cran.r-project.org/package=Rivivc
Description: CRAN Package 'Rivivc' (In Vitro in Vivo Correlation Linear Level "A")
 It is devoted to the IVIVC linear level A with numerical deconvolution
 method. The latter is working for inequal and incompatible timepoints
 between impulse and response curves. A numerical convolution method is also
 available. Application domains include pharamaceutical industry QA/QC and
 R&D together with academic research.

Package: r-cran-rivretrieve
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 928
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmisc, r-cran-dataretrieval, r-cran-devtools, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-readr, r-cran-rlang, r-cran-rlist, r-cran-rselenium, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyhydat, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rivretrieve_0.1.6-1.ca2004.1_all.deb
Size: 878004
MD5sum: ed7f90cd1640405c95a05f51255eaf70
SHA1: 65d83676e03bb9d552bd3376b224b884236929b9
SHA256: 7ca61c2a89986a6e1eb23495d8939dadad2d50b5ef9035d1d46a37a9de4a76ae
SHA512: 1a2591951ed7305cf7436363d19d7d94d719223f83f0b9d0f07957211847e7e994224663e76c6e3fa9629eb207465e855807d6b9a9952eb115904d704f2a7998
Homepage: https://cran.r-project.org/package=RivRetrieve
Description: CRAN Package 'RivRetrieve' (Retrieve Global River Gauge Data)
 Provides access to global river gauge data from a variety of national-level
 river agencies. The package interfaces with the national-level agency
 websites to provide access to river gauge locations, river discharge, and
 river stage. Currently, the package is available for the following
 countries: Australia, Brazil, Canada, Chile, France, Japan, South Africa,
 the United Kingdom, and the United States.

Package: r-cran-rix
Architecture: all
Version: 0.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-codetools, r-cran-curl, r-cran-jsonlite, r-cran-sys
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rix_0.16.0-1.ca2004.1_all.deb
Size: 1506004
MD5sum: 10b96b732ea70c9a74d36aedefedb177
SHA1: 871318891a331564a0ad77caab66386a97d20d2e
SHA256: 0351a482d676217afc832a3c2554e92be14cb535958907501332ebbd03f6a49e
SHA512: 18d0e4954919973a8dd910130f03ac27b2e02d1a8621a80a45de98432188dcdb3babcdbdd169497ec27fa4142ba64259b0f6e93fb3b372539ffcb137f06d095d
Homepage: https://cran.r-project.org/package=rix
Description: CRAN Package 'rix' (Reproducible Data Science Environments with 'Nix')
 Simplifies the creation of reproducible data science environments using the
 'Nix' package manager, as described in Dolstra (2006) <ISBN 90-393-4130-3>.
 The included `rix()` function generates a complete description of the
 environment as a `default.nix` file, which can then be built using 'Nix'.
 This results in project specific software environments with pinned versions
 of R, packages, linked system dependencies, and other tools. Additional
 helpers make it easy to run R code in 'Nix' software environments for
 testing and production.

Package: r-cran-rjade
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rjade_0.1.1-1.ca2004.1_all.deb
Size: 50052
MD5sum: 458b15677dbc0d0d8713450549400636
SHA1: 1745f87f9699231ab7e8493b28e4b47998632c82
SHA256: 9cb4a74bd2b05c4af0795ff39489dbb0a3ca5894c6334dc252325c75e610df9d
SHA512: 2e8019264c2adf26f2e4d5bce85c73aafd0d29fc2339fbb77adf435344b7ac7f23b199e9f4e9fae57b7ff8f4231095ab74ce98378b6245f1ec46da776f033155
Homepage: https://cran.r-project.org/package=rjade
Description: CRAN Package 'rjade' (A Clean, Whitespace-Sensitive Template Language for Writing HTML)
 Jade is a high performance template engine heavily influenced by Haml and
 implemented with JavaScript for node and browsers.

Package: r-cran-rjalalidate
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-settings, r-cran-stringi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rjalalidate_0.1.0-1.ca2004.1_all.deb
Size: 100032
MD5sum: f3494c9243229bc9da5de06ff0f46bf6
SHA1: d0880492ba7f219d96298e5985d54021bcad6536
SHA256: c5cb70b9f4183b93137a166c1b43ec3944263b886ce4fed114e1745924a51f8d
SHA512: 3c137b31763da4bb503281f4209a13b59c7ae86aa677fe3c3f2ac5a3619ffa18609968bbc47c7e23b13e563512fc51a1ee46fa7b6ba7b6b73c8496368f397b1e
Homepage: https://cran.r-project.org/package=RJalaliDate
Description: CRAN Package 'RJalaliDate' (Handling Jalali Date (Persian / Solar Hijri))
 Jalali calendar, or solar Hijri, is calendar of Iran and Afghanistan
 (<https://en.wikipedia.org/wiki/Solar_Hijri_calendar>).  This package is
 designed to working with Jalali date. For this purpose, It defines
 JalaliDate class that is similar to Date class.

Package: r-cran-rjavaenv
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-quarto, r-cran-rjava, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rjavaenv_0.3.0-1.ca2004.1_all.deb
Size: 185112
MD5sum: e6bb390e6ef2d84e06f4f6cfadf1ea18
SHA1: 8097b16d9224af4c30a46f0cdcfe3507fc08c381
SHA256: 34ef2a1f6c7d39278cf86c1a1c699b4a25e065175f1d111e01283221bd610a33
SHA512: b43978bb3eedc9b366aea27bc4782ed4f559b0dee4167c72d801c16cbbe74bbe7cb61793b986e57a8b259ad3bcdfec575f712c26ffebc7ac5f45e988eda7cc6b
Homepage: https://cran.r-project.org/package=rJavaEnv
Description: CRAN Package 'rJavaEnv' ('Java' Environments for R Projects)
 Quickly install 'Java Development Kit (JDK)' without administrative
 privileges and set environment variables in current R session or project to
 solve common issues with 'Java' environment management in 'R'. Recommended
 to users of 'Java'/'rJava'-dependent 'R' packages such as 'r5r',
 'opentripplanner', 'xlsx', 'openNLP', 'rWeka', 'RJDBC', 'tabulapdf', and
 many more. 'rJavaEnv' prevents common problems like 'Java' not found, 'Java'
 version conflicts, missing 'Java' installations, and the inability to
 install 'Java' due to lack of administrative privileges.  'rJavaEnv'
 automates the download, installation, and setup of the 'Java' on a
 per-project basis by setting the relevant 'JAVA_HOME' in the current 'R'
 session or the current working directory (via '.Rprofile', with the user's
 consent).  Similar to what 'renv' does for 'R' packages, 'rJavaEnv' allows
 different 'Java' versions to be used across different projects, but can also
 be configured to allow multiple versions within the same project (e.g.  with
 the help of 'targets' package). Note: there are a few extra steps for
 'Linux' users, who don't have any 'Java' previously installed in their
 system, and who prefer package installation from source, rather then
 installing binaries from 'Posit Package Manager'. See documentation for
 details.

Package: r-cran-rjazz
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rjazz_0.1.7-1.ca2004.1_all.deb
Size: 94796
MD5sum: 87cb29faa08e851eb7bc464749a3eb3c
SHA1: 19a94ba2a8621223b0b21c5c26c839505231bc3a
SHA256: 32709f8e490a7b88e545c88ab964a19b04b93067a4d6cb9d617f35ebedf31c68
SHA512: a252881ffcfd2ca7ca10ec454eeb0ad7f3239923c23fe71cb5aafed37835a647a5e450741814c10cb7bdb0bd24a2f7f966e9ca561c599ce147f5f73781f43dfd
Homepage: https://cran.r-project.org/package=rjazz
Description: CRAN Package 'rjazz' (Official Client for 'Jazz')
 This is the official 'Jazz' client. 'Jazz' is a lightweight modular data
 processing framework, including a web server. It provides data persistence
 and computation capabilities accessible from 'R' and 'Python' and also
 through a REST API. <https://github.com/bbvadata/Jazz> See ?rjazz::rjazz to
 get a 'Jazz' server.

Package: r-cran-rjdbc
Architecture: all
Version: 0.2-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rjdbc_0.2-10-1.ca2004.1_all.deb
Size: 203108
MD5sum: 9c76ad4dee303b39c1b70fc55a7c6252
SHA1: b48f1cee9f3e41e2e925896b9c407824e5a08480
SHA256: 026c6fcd762a567d945a4800a27b1352dfb75cccbd5c2976aa823bc82e0653f6
SHA512: 97fde3febc6dd67437ab509033d67e2d0c6dff8b25a549aa9dc0f0a0baaf47047c954a3794a2f46a8a38cff67bfbd265566939012d30046fc3460310bfd4e65f
Homepage: https://cran.r-project.org/package=RJDBC
Description: CRAN Package 'RJDBC' (Provides Access to Databases Through the JDBC Interface)
 The RJDBC package is an implementation of R's DBI interface using JDBC as a
 back-end. This allows R to connect to any DBMS that has a JDBC driver.

Package: r-cran-rjdemetra
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5181
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rjdemetra_0.2.8-1.ca2004.1_all.deb
Size: 4808448
MD5sum: 17fedd98e525f7995768c646436ef38e
SHA1: e6aa136268a43f491f073d414691560da0b21a82
SHA256: 9de30c94960f3b67693196e29d385382608d6f6dac8c5df89b4123d6d48707db
SHA512: f3f2c13afa0b2a8b08c571c1f0d72c18265733235c72037e7dbf567f031b8e39038166c9b93a6b3ae2b19606705e02d61fbff2847239d2135a18939bbea074ba
Homepage: https://cran.r-project.org/package=RJDemetra
Description: CRAN Package 'RJDemetra' (Interface to 'JDemetra+' Seasonal Adjustment Software)
 Interface around 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>),
 the seasonal adjustment software officially recommended to the members of
 the European Statistical System (ESS) and the European System of Central
 Banks.  It offers full access to all options and outputs of 'JDemetra+',
 including the two leading seasonal adjustment methods TRAMO/SEATS+ and
 X-12ARIMA/X-13ARIMA-SEATS.

Package: r-cran-rjdmarkdown
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1722
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjdemetra, r-cran-knitr, r-cran-kableextra, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-ggdemetra
Filename: pool/dists/focal/main/r-cran-rjdmarkdown_0.2.2-1.ca2004.1_all.deb
Size: 1210452
MD5sum: 35baa8b82c129152f565fd1d588cd1eb
SHA1: 94bcfa9d791cc2d4d2a3af2e66e4f62ff60bddbf
SHA256: 92fbdf0026386c068d419fd40bc5b025c787d3fbcfdef6f88c872d4cb02bc638
SHA512: e01fd70aec706f7701cda6f1f4f56cafc673e3aad4ab02c5b3463bce4d941613936c2c8b225cf43f74afb2b492dc87a19fc599b604cb12425962ca3379abcb6d
Homepage: https://cran.r-project.org/package=rjdmarkdown
Description: CRAN Package 'rjdmarkdown' ('rmarkdown' Extension for Formatted 'RJDemetra' Outputs)
 Functions to have nice 'rmarkdown' outputs of the seasonal and trading day
 adjustment models made with 'RJDemetra'.

Package: r-cran-rjdqa
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjdemetra, r-cran-plotrix, r-cran-ggdemetra
Filename: pool/dists/focal/main/r-cran-rjdqa_0.1.5-1.ca2004.1_all.deb
Size: 457500
MD5sum: be92944446b034f8369429e622fc5e42
SHA1: 3e744c9d1a4e09980f6c8ba0d67f81607932e07b
SHA256: c07ab050c23424bfa7e000890bbd344210585a78a8a25198dc6c913977b47462
SHA512: 810c59bc5d9d900d1e64fb33040c982bc62121232e12e45b8982641abbaaae3263cf6ac502720cff90c6c1d00524a328f4d86d6907831127f8c22107d5c67542
Homepage: https://cran.r-project.org/package=rjdqa
Description: CRAN Package 'rjdqa' (Quality Assessment for Seasonal Adjustment)
 Add-in to the 'RJDemetra' package on seasonal adjustments.  It allows to
 produce dashboards to summarise models and quickly check the quality of the
 seasonal adjustment.

Package: r-cran-rjdworkspace
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1077
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava, r-cran-rjdemetra, r-cran-xml
Filename: pool/dists/focal/main/r-cran-rjdworkspace_1.1.9-1.ca2004.1_all.deb
Size: 556880
MD5sum: 92efc4bd5c41cfccd8ef7bbba0d0f522
SHA1: f7ddb24b47a94f3f8b2c1f0caf37fd642349726c
SHA256: 51f165d8ca664bc154f6871dd0db951348967abdc409d58479a7a9e83a6f7c29
SHA512: 23d6554fe4a541eec400ed3bad53924fb0b7d2778f2adda50f4b0b9950d4ed9471771ac4f3e30c55d59493d838d2882bff26e4aeaa708c7e0a561c1b2043cc9e
Homepage: https://cran.r-project.org/package=rjdworkspace
Description: CRAN Package 'rjdworkspace' (Manipulate 'JDemetra+' Workspaces)
 Set of tools to manipulate the 'JDemetra+' workspaces.  Based on the
 'RJDemetra' package (which interfaces with version 2 of the 'JDemetra+'
 (<https://github.com/jdemetra/jdemetra-app>), the seasonal adjustment
 software officially recommended to the members of the European Statistical
 System (ESS) and the European System of Central Banks).  This package
 provides access to additional workspace manipulation functions such as
 metadata manipulation, raw paths and wrangling of several workspaces
 simultaneously.  These additional functionalities are useful as part of a
 CVS data production chain.

Package: r-cran-rjmcmc
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-madness, r-cran-coda, r-cran-mvtnorm
Suggests: r-cran-fsadata
Filename: pool/dists/focal/main/r-cran-rjmcmc_0.4.5-1.ca2004.1_all.deb
Size: 49184
MD5sum: df5aad44fda7ad79472cb95546c2be27
SHA1: c4f1e5ce16668f3cbdb61f68f1949a632c59690b
SHA256: 21fa5a67b8624a58a4ea8e8d9e6d2a562a23143fbb0ff9bf3955fad90248d1c2
SHA512: 46a177a4b946f64514a670e140a86f7e6ab3c0c2309a29d9fcf2135807fc932e9486471d21cc9859ba8958186c4ece3672059f762249e35081afd10d43c20323
Homepage: https://cran.r-project.org/package=rjmcmc
Description: CRAN Package 'rjmcmc' (Reversible-Jump MCMC Using Post-Processing)
 Performs reversible-jump Markov chain Monte Carlo (Green, 1995)
 <doi:10.2307/2337340>, specifically the restriction introduced by Barker &
 Link (2013) <doi:10.1080/00031305.2013.791644>. By utilising a 'universal
 parameter' space, RJMCMC is treated as a Gibbs sampling problem.
 Previously-calculated posterior distributions are used to quickly estimate
 posterior model probabilities. Jacobian matrices are found using automatic
 differentiation. For a detailed description of the package, see Gelling,
 Schofield & Barker (2019) <doi:10.1111/anzs.12263>.

Package: r-cran-rjqpd
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rjqpd_0.2.3-1.ca2004.1_all.deb
Size: 94536
MD5sum: 5af7220c85461513bf41e9733a9bca91
SHA1: 1d38269c52629bcd6f4b95dd69a1abae7d96eac3
SHA256: 2540e2f26e480473bae26821b12de30b93b4d4ddabb640f7ab6156a39dfb2770
SHA512: 18f3d6de8aed516f48164c177598d6a067c7f053f35d7e7cd60ac78eb6ae9a0c025fa64bfb589dc1355d6604ee22cce20935ce149264f87ca134f4fd3393068b
Homepage: https://cran.r-project.org/package=rjqpd
Description: CRAN Package 'rjqpd' (The Johnson Quantile-Parameterised Distribution)
 Implementation of the Johnson Quantile-Parameterised Distribution in R.  The
 Johnson Quantile-Parameterised Distribution (J-QPD) is a flexible
 distribution system that is parameterised by a symmetric percentile triplet
 of quantile values (typically the 10th-50th-90th) along with known support
 bounds for the distribution.  The J-QPD system was developed by Hadlock and
 Bickel (2017) <doi:10.1287/deca.2016.0343>.  This package implements the
 density, quantile, CDF and random number generator functions.

Package: r-cran-rjsdmx
Architecture: all
Version: 3.7-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rjava, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-rjsdmx_3.7-0-1.ca2004.1_all.deb
Size: 307172
MD5sum: 2296eadebcd64fb0b65f3fccf31e1707
SHA1: f924b571f155a9e6c61cb9045dac84edc3d68b52
SHA256: 80d161c13968ca6dc9853c8368c92167395eafbb5a68a1c7ea21701df8b9237a
SHA512: 12570952cb5548886a5fad11653416323c73ab8b77424015c331f2b3ee266e4d39967bd4889de072e0537aa3d76dd817b9c769ee24fdd0fd373e59fe703ab9e4
Homepage: https://cran.r-project.org/package=RJSDMX
Description: CRAN Package 'RJSDMX' (R Interface to SDMX Web Services)
 Provides functions to retrieve data and metadata from providers that
 disseminate data by means of SDMX web services.  SDMX (Statistical Data and
 Metadata eXchange) is a standard that has been developed with the aim of
 simplifying the exchange of statistical information.  More about the SDMX
 standard and the SDMX Web Services can be found at: <https://sdmx.org>.

Package: r-cran-rjsplot
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2617
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-irdisplay
Filename: pool/dists/focal/main/r-cran-rjsplot_2.7-1.ca2004.1_all.deb
Size: 822988
MD5sum: b2ef95aa6c6132fa147267ba918c6985
SHA1: d1f3083a538c2439569f74ea5bb3a0cd5525da0d
SHA256: 1b04e9cab23423b876c4c2a0d6b62ff8c4c44c84f0d73cae8ab7b657f0cd5498
SHA512: 3c65239353806cc09017fec40065cb603da22c0b78fe9935e55a4d60b15289b6a621dc46e412a7e4fb59e901a5415de21771671dc1162108004e2b4af8777ef6
Homepage: https://cran.r-project.org/package=RJSplot
Description: CRAN Package 'RJSplot' (Interactive Graphs with R)
 Creates interactive graphs with 'R'. It joins the data analysis power of R
 and the visualization libraries of JavaScript in one package.

Package: r-cran-rjstat
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-rjstat_0.4.3-1.ca2004.1_all.deb
Size: 57720
MD5sum: 8ee76613c85a4cff38395035e6f9a74e
SHA1: 36082277cbdc87843cb172d8c8bfd3a9d919bf42
SHA256: 2df1332a2fb8817f926f7072db682c35fd9b4deabd6680b6783f9f71426ea344
SHA512: b769f67029a1d535bd11f7eea244a01e3c4ce249abbcca4c67877fa695c625f26abb9af62fc8fb15cf64a9f64b2ca7fe1cefcd075dcf9265fdfb314e9e4e93fb
Homepage: https://cran.r-project.org/package=rjstat
Description: CRAN Package 'rjstat' (Handle 'JSON-stat' Format in R)
 Handle 'JSON-stat' format (<https://json-stat.org>) in R.  Not all features
 are supported, especially the extensive metadata features of 'JSON-stat'.

Package: r-cran-rjtools
Architecture: all
Version: 1.0.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3004
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distill, r-cran-stringr, r-cran-purrr, r-cran-hunspell, r-cran-fs, r-cran-cli, r-cran-glue, r-cran-whisker, r-cran-xfun, r-cran-callr, r-cran-rlang, r-cran-yaml, r-cran-yesno, r-cran-tinytex, r-cran-bookdown, r-cran-biocmanager, r-cran-here, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-pdftools, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rjtools_1.0.18-1.ca2004.1_all.deb
Size: 2037816
MD5sum: d5ee5004891932c159f7c8379035229e
SHA1: 2cbf138ff74528617381fcd44d670f21ba00731a
SHA256: 0fd3cec543ddb60e80027dea68a9ec04ae958c23ce9010a8d6062b83ddcb6a27
SHA512: 4bff32220ee57709749080fadf6d997a9b6272afd16bdf46911a275eaf56da8a748a82dc4d80eab939646e0e140481682ea7e3de628d7d4e3e00e0133f15b27b
Homepage: https://cran.r-project.org/package=rjtools
Description: CRAN Package 'rjtools' (Preparing, Checking, and Submitting Articles to the 'R Journal')
 Create an 'R Journal' 'Rmarkdown' template article, that will generate html
 and pdf versions of your paper. Check that the paper folder has all the
 required components needed for submission.  Examples of 'R Journal'
 publications can be found at <https://journal.r-project.org>.

Package: r-cran-rjwsacruncher
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1025
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rjwsacruncher_0.2.1-1.ca2004.1_all.deb
Size: 321704
MD5sum: 490b74d4a689b29a39a3439b8fc3da64
SHA1: 0c311f35ae2d2239be81d873edce016aae417be6
SHA256: 21753a0a5fe4670d4f882ccad4fa3c3dee5f39780f1b34773359799ac7175af5
SHA512: e054f0ed835132576a446fee2060d91ad08fdc54544997ae0252ac5ae07f988c5b644effbf5714fbada921819bd959a0822e47c67d860e3f33c610ea5f5f20f9
Homepage: https://cran.r-project.org/package=rjwsacruncher
Description: CRAN Package 'rjwsacruncher' (Interface to the 'JWSACruncher' of 'JDemetra+')
 'JDemetra+' (<https://github.com/jdemetra/jdemetra-app>) is the seasonal
 adjustment software officially recommended to the members of the European
 Statistical System and the European System of Central Banks. Seasonal
 adjustment models performed with 'JDemetra+' can be stored into workspaces.
 'JWSACruncher' (<https://github.com/jdemetra/jwsacruncher/releases>) is a
 console tool that re-estimates all the multi-processing defined in a
 workspace and to export the result. 'rjwsacruncher' allows to launch easily
 the 'JWSACruncher'.

Package: r-cran-rkafka
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava, r-cran-runit, r-cran-rkafkajars
Filename: pool/dists/focal/main/r-cran-rkafka_1.4-1.ca2004.1_all.deb
Size: 222848
MD5sum: 9324e1fbfc2f00be7840b75879c4f67b
SHA1: addde7351301ff5febc04ef31e0f499fdab3573a
SHA256: 711f5b783347ac76d8724c69216a93e4b8cd97e139f22e2c45ef7eadad2851ff
SHA512: 8555b3206f9622c401522033ee4e6c9c7308ca3d34222a39ba652e076725ef5a439f1857df5c362996ec16f2e3c26507738ac5fc612ed0888dda0305ca2e61a2
Homepage: https://cran.r-project.org/package=rkafka
Description: CRAN Package 'rkafka' (Using Apache 'Kafka' Messaging Queue Through 'R')
 Apache 'Kafka' is an open-source message broker project developed by the
 Apache Software Foundation which can be thought of as a distributed,
 partitioned, replicated commit log service.At a high level, producers send
 messages over the network to the 'Kafka' cluster which in turn serves them
 up to consumers.See <https://kafka.apache.org/> for more
 information.Functions included in this package enable:1.Creating 'Kafka'
 producer 2.Writing messages to a topic 3.Closing 'Kafka' producer 4.Creating
 'Kafka' consumer 5.Reading messages from a topic 6.Closing 'Kafka' consumer.
 The jars required for this package are included in a separate package
 'rkafkajars'.

Package: r-cran-rkafkajars
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12403
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-runit
Filename: pool/dists/focal/main/r-cran-rkafkajars_1.2-1.ca2004.1_all.deb
Size: 11361676
MD5sum: 2d4edda346bafdf6a86c5db6044b9679
SHA1: 004951eed4f479b8fedf22236651c5de3d9602a0
SHA256: 9ac7ef54c7d9c1f55398faeefca7d4af7a45184634e657d8789f63441db4eb63
SHA512: 1cceb0fbd13b1c26a4c0adc9e651c4bfc7c1d90c581ab6231be05c8655abde495da14c85bcaa1849907b42ad48716e6460feeb2ce8842ee41cbdaf91c6812f38
Homepage: https://cran.r-project.org/package=rkafkajars
Description: CRAN Package 'rkafkajars' (External Jars Required for Package 'rkafka')
 The 'rkafkajars' package collects all the external jars required for the
 'rkafka' package.

Package: r-cran-rkaggle
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-readr, r-cran-withr, r-cran-jsonlite, r-cran-arrow, r-cran-readods, r-cran-readxl, r-cran-sf
Suggests: r-cran-tibble, r-cran-conflicted
Filename: pool/dists/focal/main/r-cran-rkaggle_0.1.1-1.ca2004.1_all.deb
Size: 21204
MD5sum: 596972915152bbe776ca0371f1cb2b71
SHA1: 780994c7e6ea2d190aaef321cfc8d57df0cf985e
SHA256: 8cb1c2372d6e71f5b29fc6690c1cfd976c2213d461e0fad07b14ce8002c496bf
SHA512: 06f7c62a6639669fdac4ab7aec12567d0d265c43f04250eeb8b9079e43c7c22f7e3deaed5ee344e5c20bc783b4499873eb2a92ba3db3af1322d91c24cb4f9860
Homepage: https://cran.r-project.org/package=RKaggle
Description: CRAN Package 'RKaggle' ('Kaggle' Dataset Downloader 'API')
 Easily download datasets from Kaggle <https://www.kaggle.com/> directly into
 your R environment using 'RKaggle'. Streamline your data analysis workflows
 by importing datasets effortlessly and focusing on insights rather than
 manual data handling. Perfect for data enthusiasts and professionals looking
 to integrate Kaggle datasets into their R projects with minimal hassle.

Package: r-cran-rkea
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rkeajars, r-cran-rjava, r-cran-tm
Filename: pool/dists/focal/main/r-cran-rkea_0.0-6-1.ca2004.1_all.deb
Size: 174468
MD5sum: 64baaca7682f09707e2fa3698ee1ca15
SHA1: e2708766c930c21dca6b50465a7e5363be27f28e
SHA256: 10b1bcd0d037ea9fb8288eaff0960a5a4fe5a00df34d27e9f970307ba41be1d6
SHA512: bfef93473a07fa15de99f8376c2c365ec229a90bf280bfc5b6facfdb6ff97a28f29d4b4b64e0d48e71f61e2b7f514e41700676062c6fac72daf4ad0669beaa73
Homepage: https://cran.r-project.org/package=RKEA
Description: CRAN Package 'RKEA' (R/KEA Interface)
 An R interface to KEA (Version 5.0).  KEA (for Keyphrase Extraction
 Algorithm) allows for extracting keyphrases from text documents. It can be
 either used for free indexing or for indexing with a controlled vocabulary.
 For more information see <http://www.nzdl.org/Kea/>.

Package: r-cran-rkeajars
Architecture: all
Version: 5.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11059
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rkeajars_5.0-4-1.ca2004.1_all.deb
Size: 9799016
MD5sum: 3581a43837ea72abacb7df26e824fd14
SHA1: 56a3514185ad9ef3f6b40f579262495bf4534ad1
SHA256: 92b2e09fb90d60567ca76c852602e7f578a677c9d2b62f5d49da7f63681ea9e5
SHA512: fa3e589bb39cd2f4e6c903f3aaa6c3268a435144a4b7e23af0c89e895d3a3a3ebd0b84044df1307218e0d4964874a8f35d9f698b219e4479832fa72f2974d42c
Homepage: https://cran.r-project.org/package=RKEAjars
Description: CRAN Package 'RKEAjars' (R/KEA Interface Jars)
 External jars required for package RKEA.

Package: r-cran-rkeel
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 28703
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-xml, r-cran-doparallel, r-cran-foreach, r-cran-gdata, r-cran-rkeeldata, r-cran-pmml, r-cran-arules, r-cran-matrix, r-cran-rjava, r-cran-openssl, r-cran-downloader
Filename: pool/dists/focal/main/r-cran-rkeel_1.3.4-1.ca2004.1_all.deb
Size: 13777260
MD5sum: 8341fa2b684194896fea6a4195a3ead2
SHA1: 38919655217b103ca21176c5a4994d80a04f33ce
SHA256: e356c3434a0e5bc99007d6ac936d10a08e2f1a9de567e45450f2c731bc26f836
SHA512: dd4c5d12797a271586778c169c07b448daeb592440437b1b0612394436ea5cdb506e8630a90461617aa87384d24610068b4c102cb32cc2ac019d3ba8b67024c2
Homepage: https://cran.r-project.org/package=RKEEL
Description: CRAN Package 'RKEEL' (Using 'KEEL' in R Code)
 'KEEL' is a popular 'Java' software for a large number of different
 knowledge data discovery tasks.  This package takes the advantages of 'KEEL'
 and R, allowing to use 'KEEL' algorithms in simple R code.  The implemented
 R code layer between R and 'KEEL' makes easy both using 'KEEL' algorithms in
 R as implementing new algorithms for 'RKEEL' in a very simple way.  It
 includes more than 100 algorithms for classification, regression,
 preprocess, association rules and imbalance learning, which allows a more
 complete experimentation process.  For more information about 'KEEL', see
 <http://www.keel.es/>.

Package: r-cran-rkeeldata
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10426
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rkeeldata_1.0.5-1.ca2004.1_all.deb
Size: 1918616
MD5sum: 3d0b3b9e71ef2afbade937ea13c9cb21
SHA1: afa0b619cd8e2f0f3f3f4c5d8b4105672b943723
SHA256: eeb9384ed0838f4380a0fcced3ccc639121049bfe86336e168c43fceb9cb00ed
SHA512: e3b55b3a7fce9467684d3e4716ed1ff6316830626751c3a3acc39244c5b07b9a8084ad2c9bcf0866c5db20f37e197399c5cf6b8854ef946b5d86dc234e3b57f1
Homepage: https://cran.r-project.org/package=RKEELdata
Description: CRAN Package 'RKEELdata' (Datasets from 'KEEL' for it Use in 'RKEEL')
 'KEEL' is a popular Java software for a large number of different knowledge
 data discovery tasks. Furthermore, 'RKEEL' is a package with a R code layer
 between R and 'KEEL', for using 'KEEL' in R code. This package includes the
 datasets from 'KEEL' in .dat format for its use in 'RKEEL' package. For more
 information about 'KEEL', see <http://www.keel.es/>.

Package: r-cran-rkeeljars
Architecture: all
Version: 1.0.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 24245
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-downloader
Filename: pool/dists/focal/main/r-cran-rkeeljars_1.0.20-1.ca2004.1_all.deb
Size: 11000680
MD5sum: 4904b2071b865776856297303a17551f
SHA1: c3d7609fb14b5312b4fcde91ff55602d740afb6c
SHA256: e9f586de45e611f41bcbdd1bd630e64b8e76e6b78a07a434b4495bb6c0db8fd1
SHA512: 9b73bb0757b2200edd22ea0358cd98bbd97662e64ef786ebf7d4c940890827d61c139a989dac89453a542c96631a51c0a6dae451381290808ace96d712e90407
Homepage: https://cran.r-project.org/package=RKEELjars
Description: CRAN Package 'RKEELjars' (Java Executable .jar Files for 'RKEEL')
 'KEEL' is a popular Java software for a large number of different knowledge
 data discovery tasks. Furthermore, 'RKEEL' is a package with a R code layer
 between R and 'KEEL', for using 'KEEL' in R code. This package downloads and
 install the .jar files necessary for 'RKEEL' algorithms execution. For more
 information about 'KEEL', see <http://www.keel.es/>.

Package: r-cran-rkelly
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rkelly_1.0-1.ca2004.1_all.deb
Size: 21804
MD5sum: 2f8799273301d35b3d3b48fcc8d5b967
SHA1: ec0652cfb2e0c338e25e8f120179eebff899792d
SHA256: ea0a2960b320fd07ce34be37f9db7303d8946f8d1b617448b425755204c611db
SHA512: de48b1b4c09c94688720c5f17c88e05c1462a631d6712a8b138cb414859208e76a965e780a89c8f620c9097db1e33a707f95823576aae0f0c541bd8435e04e17
Homepage: https://cran.r-project.org/package=RKelly
Description: CRAN Package 'RKelly' (Translate Odds and Probabilities)
 Calculates the Kelly criterion (Kelly, J.L. (1956)
 <doi:10.1002/j.1538-7305.1956.tb03809.x>) for bets given quoted prices,
 model predictions and commissions.  Additionally it contains helper
 functions to calculate the probabilities for wins and draws in multi-leg
 games.

Package: r-cran-rkenyaforex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rkenyaforex_0.1.0-1.ca2004.1_all.deb
Size: 123228
MD5sum: dc51d3c625949c17c5f75f267e01a68f
SHA1: f668d04a2e527d41d1701194c5eaacad32e294ea
SHA256: 213f431eced89accef2e97d57df26569fa83c017ed16f0a7c469d4d388e06869
SHA512: dd29dedbfdcfd8b5f84dee11a29664974501bdc7a663b50fdb7bb9a8c3fb223c5d36d1ee39fee9c2099fd1354cf7c6d6f25e684618f564517c4c95588f78689e
Homepage: https://cran.r-project.org/package=rKenyaForex
Description: CRAN Package 'rKenyaForex' (Historical Data for Kenya Foreign Exchange Prices)
 Exchange rate for Kenya Shilling against other currencies, US DOLLAR, EURO,
 STERLING POUND, Tanzania Shilling, Uganda Shilling.

Package: r-cran-rkeops
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1654
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-future, r-cran-lifecycle, r-cran-rdpack, r-cran-reticulate, r-cran-rhpcblasctl, r-cran-stringi, r-cran-stringr, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-plotly, r-cran-pracma, r-cran-remotes, r-cran-reshape, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rkeops_2.2.2-1.ca2004.1_all.deb
Size: 1141540
MD5sum: 85896bbfc789a890b308b961888b72e2
SHA1: 11b6598208693a2fc7bc9a5382aa7dd6ec901b91
SHA256: ea20b7065a55eddaef3f0f8788d38150c5bdfed5f67782f616ad22c17e5cf19d
SHA512: bceef27cb0aaeff329430dc96b4beabee00d6c95769bd1815fa7588672f30e7c09372dec72bfef5d6dea5126d14c35b7068fb5b358e0b80b0a4a46653d444ca3
Homepage: https://cran.r-project.org/package=rkeops
Description: CRAN Package 'rkeops' (Kernel Operations on GPU or CPU, with Autodiff, without MemoryOverflows)
 The 'KeOps' library lets you compute generic reductions of very large arrays
 whose entries are given by a mathematical formula with CPU and GPU computing
 support. It combines a tiled reduction scheme with an automatic
 differentiation engine. It is perfectly suited to the efficient computation
 of Kernel dot products and the associated gradients, even when the full
 kernel matrix does not fit into the GPU memory.

Package: r-cran-rkin
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ks, r-cran-sf, r-cran-ggplot2, r-cran-mass, r-cran-rcolorbrewer, r-cran-randomcolor, r-cran-shades, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rkin_1.0.4-1.ca2004.1_all.deb
Size: 101560
MD5sum: 96632c595e5df0f8188d01e85002d1a7
SHA1: bd39349b84535549d19c29e9a9ad39b489f271be
SHA256: 31b88a6fe01b197da56a7c20cc6673b4b953ae3dd1b2fd6e3adb8b5c26a8545e
SHA512: 980f36d2fee21396d7dd36af41f650dc006687edb469d6d022aa24dadc8dac1a711d9f29367bb5288dab47888d8b2322cba2e6da81f11fcf59922c6d8a95343f
Homepage: https://cran.r-project.org/package=rKIN
Description: CRAN Package 'rKIN' ((Kernel) Isotope Niche Estimation)
 Applies methods used to estimate animal homerange, but instead of geospatial
 coordinates, we use isotopic coordinates. The estimation methods include: 1)
 2-dimensional bivariate normal kernel utilization density estimator, 2)
 bivariate normal ellipse estimator, and 3) minimum convex polygon estimator,
 all applied to stable isotope data. Additionally, functions to determine
 niche area, polygon overlap between groups and levels (confidence contours)
 and plotting capabilities.

Package: r-cran-rkmetrics
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rkmetrics_1.3-1.ca2004.1_all.deb
Size: 99912
MD5sum: 4972a3b6fb1b35a98a76acd6ca5814d5
SHA1: 2b574040ef4f9375eb9e94cfc579c166b8cff883
SHA256: 2d47a8fd49a72dd75c1fef8546324e7a0be7ea1eaa8816d52bf89d464cc7930f
SHA512: 310cc960e07a990c5286602bb5db43aa7c5720669c3a2a340d2d902af977d49843a21e38c923c04cd46611b5a4229810896bfab4b51b275ab54b33f1880b3d8c
Homepage: https://cran.r-project.org/package=RkMetrics
Description: CRAN Package 'RkMetrics' (Hybrid Mortality Estimation)
 Hybrid Mortality Modelling (HMM) provides a framework in which mortality
 around "the accident hump" and at very old ages can be modelled under a
 single model. The graphics' codes necessary for visualization of the models'
 output are included here. Specifically, the graphics are based on the
 assumption that, the mortality rates can be expressed as a function of the
 area under the curve between the crude mortality rates plots and the
 tangential transform of the force of mortality.

Package: r-cran-rkolada
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 908
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-glue, r-cran-stringr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-urltools
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringi, r-cran-ggplot2, r-cran-scales, r-cran-progress
Filename: pool/dists/focal/main/r-cran-rkolada_0.2.3-1.ca2004.1_all.deb
Size: 764756
MD5sum: 133722ce4668388b52c4f24e7e1ca587
SHA1: 9b34838195b75eb887dc107311608715c4db174a
SHA256: 19fce6842c914e53c5c0794fc8db6a37bc5bf7658dd1d937710d0e8922a3652b
SHA512: 673f9fa7dba3badf9a58ffbcbbf93d4fec208028f11a4567d08c76e64e6fb1b34c7d4186ded418f8f1dbffebb092e4c6d9115be58157c596e9058a0337fe9669
Homepage: https://cran.r-project.org/package=rKolada
Description: CRAN Package 'rKolada' (Access Data from the 'Kolada' Database)
 Methods for downloading and processing data and metadata from 'Kolada', the
 official Swedish regions and municipalities database
 <https://www.kolada.se/>.

Package: r-cran-rkomics
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 24867
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-ape, r-cran-circlize, r-bioc-complexheatmap, r-cran-reshape2, r-cran-dplyr, r-cran-factoextra, r-cran-factominer, r-cran-ggpubr, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-viridis
Filename: pool/dists/focal/main/r-cran-rkomics_1.3-1.ca2004.1_all.deb
Size: 1773388
MD5sum: a29f0e944e555978065c11e3825485c1
SHA1: 25c6e5cf07b5c2c84333c1b0975f47583a224de5
SHA256: aaa30248a9cab0c1c9e8bd4d999f1ca3d121083c381c65c6f9c9adfa52664037
SHA512: 51b3c55812e4d7b5a61aa1fdaadb85350393b2199eb0b8d69177b689299f51e4bf485d661058d1ff43a8e42d06fd7f78665a2d074fa0375be04add3650e1322e
Homepage: https://cran.r-project.org/package=rKOMICS
Description: CRAN Package 'rKOMICS' (Minicircle Sequence Classes (MSC) Analyses)
 This is a analysis toolkit to streamline the analyses of minicircle sequence
 diversity in population-scale genome projects. rKOMICS is a user-friendly R
 package that has simple installation requirements and that is applicable to
 all 27 trypanosomatid genera. Once minicircle sequence alignments are
 generated, rKOMICS allows to examine, summarize and visualize minicircle
 sequence diversity within and between samples through the analyses of
 minicircle sequence clusters. We showcase the functionalities of the
 (r)KOMICS tool suite using a whole-genome sequencing dataset from a recently
 published study on the history of diversification of the Leishmania
 braziliensis species complex in Peru. Analyses of population diversity and
 structure highlighted differences in minicircle sequence richness and
 composition between Leishmania subspecies, and between subpopulations within
 subspecies. The rKOMICS package establishes a critical framework to
 manipulate, explore and extract biologically relevant information from
 mitochondrial minicircle assemblies in tens to hundreds of samples
 simultaneously and efficiently. This should facilitate research that aims to
 develop new molecular markers for identifying species-specific minicircles,
 or to study the ancestry of parasites for complementary insights into their
 evolutionary history. ***** !! WARNING: this package relies on dependencies
 from Bioconductor. For Mac users, this can generate errors when installing
 rKOMICS. Install Bioconductor and ComplexHeatmap at advance:
 install.packages("BiocManager"); BiocManager::install("ComplexHeatmap")
 *****.

Package: r-cran-rkorapclient
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 754
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.cache, r-cran-broom, r-cran-ggplot2, r-cran-tibble, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-lubridate, r-cran-highcharter, r-cran-jsonlite, r-cran-keyring, r-cran-httr2, r-cran-curl, r-cran-ptxqc, r-cran-purrr, r-cran-stringr, r-cran-urltools
Suggests: r-cran-lifecycle, r-cran-testthat, r-cran-htmlwidgets, r-cran-rmarkdown, r-cran-shiny, r-cran-vcd, r-cran-kableextra, r-cran-knitr, r-cran-purrrlyr, r-cran-raster, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rkorapclient_1.1.0-1.ca2004.1_all.deb
Size: 598120
MD5sum: 7370306f6d3ea0220ee9f8719107db4f
SHA1: 13f4b0a7979bd38d9dd6acc56c36302393d8571e
SHA256: 0b14a0a19cc21036b8bc7c7021544158f54d21c0756d11d173e011c6df0c7366
SHA512: 43d12f47a41cc365d9ca70a0d8605a231f7d890091a2099f386cc36490c8defb2bf3ec99098650cbd27dff51f4058120b43626f6cedb19ef38e8ac436a378efb
Homepage: https://cran.r-project.org/package=RKorAPClient
Description: CRAN Package 'RKorAPClient' ('KorAP' Web Service Client Package)
 A client package that makes the 'KorAP' web service API accessible from R.
 The corpus analysis platform 'KorAP' has been developed as a scientific tool
 to make potentially large, stratified and multiply annotated corpora, such
 as the 'German Reference Corpus DeReKo' or the 'Corpus of the Contemporary
 Romanian Language CoRoLa', accessible for linguists to let them verify
 hypotheses and to find interesting patterns in real language use. The
 'RKorAPClient' package provides access to 'KorAP' and the corpora behind it
 for user-created R code, as a programmatic alternative to the 'KorAP' web
 user-interface. You can learn more about 'KorAP' and use it directly on
 'DeReKo' at <https://korap.ids-mannheim.de/>.

Package: r-cran-rkt
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rkt_1.7-1.ca2004.1_all.deb
Size: 46840
MD5sum: bc35ae7a7ff4c1164beaa76276728bfe
SHA1: 2432d032996e93340c70513e8938fce7fe670f57
SHA256: f9663103ef7f9481d8a38ff2c67f474a932ec6e19ccf657c7973e344bbeebe80
SHA512: 2051cf09272477198347058e9567d59b026a01715c5f2608d2cac160a588dd7209437126468ed0dc1d8dbb93274f2088268cda3fe4daf0a13103ba8c40af596a
Homepage: https://cran.r-project.org/package=rkt
Description: CRAN Package 'rkt' (Mann-Kendall Test, Seasonal and Regional Kendall Tests)
 Contains function rkt which computes the Mann-Kendall test (MK) and the
 Seasonal and the Regional Kendall Tests for trend (SKT and RKT) and
 Theil-Sen's slope estimator.

Package: r-cran-rkum
Architecture: all
Version: 0.1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rkum_0.1.1.1-1.ca2004.1_all.deb
Size: 116852
MD5sum: 3bdbf7802b4e30965f0dad8f0cbe57d6
SHA1: 3c0a6dec094a45982f5cf6f6904bc6aed15a9219
SHA256: 3d010d49a68c511d756ebc945316866275cb04c40b1785f9f4c1e2fea383cc4b
SHA512: 263da3d84bc88aada3544a04eb92e9c524d57ec10f2a99e9089e296881dd0d8b494a069448acd86ee80d660ce208ae0a8a6c9fb482e328322bb8f863c12c819e
Homepage: https://cran.r-project.org/package=RKUM
Description: CRAN Package 'RKUM' (Robust Kernel Unsupervised Methods)
 Robust kernel center matrix, robust kernel cross-covariance operator for
 kernel unsupervised methods, kernel canonical correlation analysis,
 influence function of identifying significant outliers or atypical objects
 from multimodal datasets. Alam, M. A, Fukumizu, K., Wang Y.-P. (2018)
 <doi:10.1016/j.neucom.2018.04.008>.  Alam, M. A, Calhoun, C. D., Wang Y.-P.
 (2018) <doi:10.1016/j.csda.2018.03.013>.

Package: r-cran-rlab
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rlab_4.0-1.ca2004.1_all.deb
Size: 265232
MD5sum: 80736cfe2eacfeb071fe0fc74fa52f52
SHA1: 6128130f427db500b35cc4054b8e6bed729874d4
SHA256: 22df512bfe05cc525954804330266f79d6c8d36f4049adbb3e4e6f408c4f3c25
SHA512: 79158d6960855092bf257d91325f20dc2ea39509539c6f1aec86a7c301ea0f2f58c132ab7393b8657be0a65dc3d78d87855a579097ae1000e886d0f979988d56
Homepage: https://cran.r-project.org/package=Rlab
Description: CRAN Package 'Rlab' (Functions and Datasets Required for ST370 Class)
 Provides functions and datasets required for the ST 370 course at North
 Carolina State University.

Package: r-cran-rlakeanalyzer
Architecture: all
Version: 1.11.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2009
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rlakeanalyzer_1.11.4.1-1.ca2004.1_all.deb
Size: 497724
MD5sum: cdd6c2a55ef9685502dcd18c004b7a42
SHA1: 494bb54477b39a8e37844daf608d8b37de2eebdf
SHA256: a68cc5b9e40217ddb4578dfe624180e2e3c20ec22a95922287c8351bc51e11bd
SHA512: 9ebbf454799fc7c28528511ecb10073b57dcfb394f8c5b43248288e6ffa75c715b0cd8757e88dd1268a422c5aa06e9cc130e560fa12907bd511b8027c9b2d9ff
Homepage: https://cran.r-project.org/package=rLakeAnalyzer
Description: CRAN Package 'rLakeAnalyzer' (Lake Physics Tools)
 Standardized methods for calculating common important derived physical
 features of lakes including water density based based on temperature,
 thermal layers, thermocline depth, lake number, Wedderburn number, Schmidt
 stability and others.

Package: r-cran-rlakehabitat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-terra, r-cran-gstat, r-cran-sf, r-cran-ggplot2, r-cran-gganimate, r-cran-tidyterra, r-cran-rlakeanalyzer, r-cran-isoband
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rlakehabitat_1.0.0-1.ca2004.1_all.deb
Size: 273056
MD5sum: cff3c8274cbb586861651915ec65d09e
SHA1: bbca6690ad33afff0fcbb8e1a3b89a5aea573bbb
SHA256: b34f7197ed6d4388ada0036fb2980f12f842f5cf7f71ac89d2a633a6613659e4
SHA512: f19632d8cee72c000247e94f557d389c2a1a5eda52299602e2f284d6fb3c4baf859a13556f251a8d29d81c69ab7a0a94ed147b61833c267ddce9b560990aa74e
Homepage: https://cran.r-project.org/package=rLakeHabitat
Description: CRAN Package 'rLakeHabitat' (Interpolate Bathymetry and Quantify Physical Aquatic Habitat)
 Offers bathymetric interpolation using Inverse Distance Weighted and
 Ordinary Kriging via the 'gstat' and 'terra' packages. Other functions focus
 on quantifying physical aquatic habitats (e.g., littoral, epliminion,
 metalimnion, hypolimnion) from interpolated digital elevation models (DEMs).
 Functions were designed to calculate these metrics across water levels for
 use in reservoirs but can be applied to any DEM and will provide values for
 fixed conditions. Parameters like Secchi disk depth or estimated photic
 zone, thermocline depth, and water level fluctuation depth are included in
 most functions.

Package: r-cran-rlandfire
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3806
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr2, r-cran-sf, r-cran-terra
Suggests: r-cran-foreign, r-cran-httptest2, r-cran-httr, r-cran-knitr, r-cran-lifecycle, r-cran-raster, r-cran-rmarkdown, r-cran-stars, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rlandfire_2.0.0-1.ca2004.1_all.deb
Size: 3105852
MD5sum: 3efb95e8046348537b603cd67d41da24
SHA1: ed8f1e8e5484f9bffe1b3730e5f7cd135417d18f
SHA256: 2f94cb723dbe6e74768c0a537c5f54a56a0098a518c6a70b8f06a550d4cb85de
SHA512: c83636b247d71d91fa5b3b509a5fbfba7b4295b0a90da23e2836f24996287ed4112da48e9df4832589041eca7a0b838e6db9405972ff28ebb11b96fb4664f359
Homepage: https://cran.r-project.org/package=rlandfire
Description: CRAN Package 'rlandfire' (Interface to 'LANDFIRE Product Service' API)
 Provides access to a suite of geospatial data layers for wildfire
 management, fuel modeling, ecology, natural resource management, climate,
 conservation, etc., via the 'LANDFIRE' (<https://www.landfire.gov/>) Product
 Service ('LFPS') API.

Package: r-cran-rlc
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 727
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-stringr, r-cran-hwriter, r-cran-jrc, r-cran-plyr, r-cran-r6
Suggests: r-cran-spelling, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-testthat, r-cran-httpuv
Filename: pool/dists/focal/main/r-cran-rlc_0.5.0-1.ca2004.1_all.deb
Size: 371620
MD5sum: 74ab31198ee0bf6189aaa555b902a08a
SHA1: c89e8e390f7cfa72c60b8290a18483b252badd97
SHA256: 49e7909f65b6ddc19e45211bf820fbaf4b326c53e084fe0ab4b6a9cc8d2163e3
SHA512: a958c6c4b90f0380ec508efb723358b8174d7f6dc1a9f87e054e618807e5f098822548c2ca4024aa1e69933b1e0aa02f35f99dc6fbe682fe6bbc9846a388bc20
Homepage: https://cran.r-project.org/package=rlc
Description: CRAN Package 'rlc' (Create Interactive Linked Charts with Minimal Code)
 An easy-to-use tool to employ interactivity in every-day exploratory
 analysis. It contains a collection of most commonly used types of charts
 (such as scatter plots, line plots, heatmaps, bar charts), which can be
 linked to each other or to other interactive elements with just few lines of
 code.

Package: r-cran-rlcv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-copula
Filename: pool/dists/focal/main/r-cran-rlcv_1.0.0-1.ca2004.1_all.deb
Size: 70060
MD5sum: d33d77c7eded651c228085a7641d8325
SHA1: a672195d1e6000e5c4bb9cd83375cce94a72f357
SHA256: 2de8e506693730d0bab1e262ad48239cd3374062d4a76006840e82bd37e579b2
SHA512: a650c7e176d108fc8004ec886b9e99978cd081fbeb7a5b66a4f58bfe3bc8e8cccbb50accd0ae5ba4fd2c8466a83f3ecac463547f0b80e7939d9c3b4512f92efe
Homepage: https://cran.r-project.org/package=rlcv
Description: CRAN Package 'rlcv' (Robust Likelihood Cross Validation Bandwidth Selection)
 Robust likelihood cross validation bandwidth for uni- and multi-variate
 kernel densities. It is robust against fat-tailed distributions and/or
 outliers. Based on "Robust Likelihood Cross-Validation for Kernel Density
 Estimation," Wu (2019) <doi:10.1080/07350015.2018.1424633>.

Package: r-cran-rld
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-emdbook
Filename: pool/dists/focal/main/r-cran-rld_1.0-1.ca2004.1_all.deb
Size: 95316
MD5sum: 98dabc677f622220fb27af5bd2d2d0eb
SHA1: 7df37e93a920fe5522d86be5bc50b86176b4d864
SHA256: 5ba5885206478e159acf590c7af00309987908686dc8d25aeed95db00984ed32
SHA512: dde4161b9bdc7cc56e9617c2c2d11f7714daa685b440219039777a2de3ad22111096f3220bcc515f28c2c2d24f41c549e7d67e584761371e501edf98aa069443
Homepage: https://cran.r-project.org/package=rld
Description: CRAN Package 'rld' (Analyze and Design Repeated Low-Dose Challenge Experiments)
 Analyzes data from repeated low-dose challenge experiments and provide
 vaccine efficacy estimates. In addition, this package can provide guidance
 to design repeated low-dose challenge studies.

Package: r-cran-rldcp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rldcp_1.0.2-1.ca2004.1_all.deb
Size: 96736
MD5sum: 12be6d3eaf80e48a65941372adb2076b
SHA1: 51d0bf8b3173acf370b11197b1e74413461422ea
SHA256: 3712244bebe3859cb761d0c91372e0cd565dcc601f3cd0696068ce894d97ec74
SHA512: 050ad37f875c7863ea9916301f4480f03068858198f34497c73dc3a9395ef0b78751860a77d5634b281a53da8b94f14b7035edab874847867bc6e1bfff21715e
Homepage: https://cran.r-project.org/package=rLDCP
Description: CRAN Package 'rLDCP' (Text Generation from Data)
 Linguistic Descriptions of Complex Phenomena (LDCP) is an architecture and
 methodology that allows us to model complex phenomena, interpreting input
 data, and generating automatic text reports customized to the user needs
 (see <doi:10.1016/j.ins.2016.11.002> and <doi:10.1007/s00500-016-2430-5>).
 The proposed package contains a set of methods that facilitates the
 development of LDCP systems. It main goal is increasing the visibility and
 practical use of this research line.

Package: r-cran-rleafangle
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rleafangle_1.0-1.ca2004.1_all.deb
Size: 211168
MD5sum: fd2be89390d85bda19bee0132d053a1b
SHA1: 816c97d42b8ea73d029d26d836cb4203afd98211
SHA256: 784bfe881d853cd21c00897d941e5550cb48cd7f659c27c22c391c437b9117ce
SHA512: 499703341ab1b47da15391c529982dd7eeed2988a63053f19588d0b26419f7ed0f7219369764334cd12aabce53f047babd0edbe284f4afe54a4166f607eff308
Homepage: https://cran.r-project.org/package=RLeafAngle
Description: CRAN Package 'RLeafAngle' (Estimates, Plots and Evaluates Leaf Angle DistributionFunctions, Calculates Extinction Coefficients)
 Leaf angle distribution is described by a number of functions (e.g.
 ellipsoidal, Beta and rotated ellipsoidal). The parameters of leaf angle
 distributions functions are estimated through different empirical
 relationship.  This package includes estimations of parameters of different
 leaf angle distribution function, plots and evaluates leaf angle
 distribution functions, calculates extinction coefficients given leaf angle
 distribution.  Reference: Wang(2007)<doi:10.1016/j.agrformet.2006.12.003>.

Package: r-cran-rleafmap
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1248
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-sp, r-cran-raster
Filename: pool/dists/focal/main/r-cran-rleafmap_0.2.1-1.ca2004.1_all.deb
Size: 1132284
MD5sum: fc499590b4a83d24b5d1e3842ca132d9
SHA1: fc89a16802b5dbb81b4bddea375df824ff9a88a8
SHA256: 178bea98f8c84276ea6ec54d44e4a8120938f559a50394399c52419985e715f8
SHA512: f6e4008fe3900696d316f32725979733f4e94a387b498220fd977b29db05687b581197f7b238ecb7ebb8916e852e84e7c64cc057e445ef3c0103e09ab8544e69
Homepage: https://cran.r-project.org/package=rleafmap
Description: CRAN Package 'rleafmap' (Interactive Maps with R and Leaflet)
 Display spatial data with interactive maps powered by the open- source
 JavaScript library 'Leaflet' (see <https://leafletjs.com/>). Maps can be
 rendered in a web browser or displayed in the HTML viewer pane of 'RStudio'.
 This package is designed to be easy to use and can create complex maps with
 vector and raster data, web served map tiles and interface elements.

Package: r-cran-rlescalation
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-r6, r-cran-nleqslv, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rlescalation_1.0.2-1.ca2004.1_all.deb
Size: 185320
MD5sum: e5b4f414c42585e31f586c40717913d9
SHA1: 4e452ac03d9c7eda6a6757d735e7dc64ef364757
SHA256: be138a127e6149915fe9db67ce79d498d238ab82378cdd27831a6b8f1b8c361b
SHA512: 5f5f0b8f36c50860bf590b9dda7347139f1539bd90805c3fd910d3a0ea571a2f3ab43a96eda9803d73f8561168dafd03640a105513c4de87247891731f1b9f25
Homepage: https://cran.r-project.org/package=RLescalation
Description: CRAN Package 'RLescalation' (Optimal Dose Escalation Using Deep Reinforcement Learning)
 An implementation to compute an optimal dose escalation rule using deep
 reinforcement learning in phase I oncology trials (Matsuura et al. (2023)
 <doi:10.1080/10543406.2023.2170402>).  The dose escalation rule can directly
 optimize the percentages of correct selection (PCS) of the maximum tolerated
 dose (MTD).

Package: r-cran-rless
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-v8
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rless_0.1.1-1.ca2004.1_all.deb
Size: 117912
MD5sum: 30a9e26cc8ecabddd5b0a2ab4a322276
SHA1: 96300ab4b25e3dd80db115593adf0c32598b1bc0
SHA256: c3c59c609fa805ac9bcd2e8189af660015f968c8edeac4cbb746f7b0c9db1b5e
SHA512: 2f54adf6be7f47672e7379d60c77b06cb0532de2b7f85f6ecbcfa2f519fbed28c370236cd98b35813e3b82c4b9b5177b64ca9aaa5df00a2e3df7c8525507e0ba
Homepage: https://cran.r-project.org/package=rless
Description: CRAN Package 'rless' (Leaner Style Sheets)
 Converts LESS to CSS.  It uses V8 engine, where LESS parser is run.
 Functions for LESS text, file or folder conversion are provided.  This work
 was supported by a junior grant research project by Czech Science Foundation
 'GACR' no. 'GJ18-04150Y'.

Package: r-cran-rlidar
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3846
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bitops, r-cran-deldir, r-cran-geometry, r-cran-plyr, r-cran-raster, r-cran-rgeos, r-cran-rgl, r-cran-sp, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-rlidar_0.1.5-1.ca2004.1_all.deb
Size: 957348
MD5sum: 4f21d460c1af88a2fcf0ec3286d0e12c
SHA1: 524fb755e8a749483a16566537c16c36fc3ce3e8
SHA256: f586df98ab1ef203940783c11923946f44c8e06f0911ba62cd3f570ced4ac0d2
SHA512: 7841c8f81925fcc41fa494524a91c0bb8d0bf3a494e914bc8d0c1a2c08fd5c0e3afa5abc6f4153da111dad18b24854fb23c25ff84ebaa717e1428e9768a95e18
Homepage: https://cran.r-project.org/package=rLiDAR
Description: CRAN Package 'rLiDAR' (LiDAR Data Processing and Visualization)
 Set of tools for reading, processing and visualizing small set of LiDAR
 (Light Detection and Ranging) data for forest inventory applications.  More
 details were published in Silva et al. (2016)
 <doi:10.1080/07038992.2016.1196582>.

Package: r-cran-rlinkedin
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml, r-cran-httpuv
Filename: pool/dists/focal/main/r-cran-rlinkedin_0.2-1.ca2004.1_all.deb
Size: 95000
MD5sum: 95faae454c8b7ff2702af954fc7beb8a
SHA1: 8e3ebf87e530682d9b323377c0787cf72b29c3c9
SHA256: 119fb88da823ee1e40f79de3d9c9efcf11f0ccec060dceb4ffc771710c3ba51d
SHA512: 09b208c95723475063e7aaacbae1052cbc981595a7e2ee84424a5f92e13c8c774b44278684c23c32459a3595afd8d7893b47d490ddc0ed652fb77602b7c347bd
Homepage: https://cran.r-project.org/package=Rlinkedin
Description: CRAN Package 'Rlinkedin' (Access to the LinkedIn API via R)
 A series of functions that allow users to access the 'LinkedIn' API to get
 information about connections, search for people and jobs, share updates
 with their network, and create group discussions.  For more information
 about using the API please visit <https://developer.linkedin.com/>.

Package: r-cran-rlist
Architecture: all
Version: 0.4.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-jsonlite, r-cran-xml, r-cran-data.table
Suggests: r-cran-testthat, r-cran-stringdist
Filename: pool/dists/focal/main/r-cran-rlist_0.4.6.2-1.ca2004.1_all.deb
Size: 239780
MD5sum: a4f4172fe77f32e99eb30043865cbbf9
SHA1: 361d7b08787fd1125c104e88c384f54219d41290
SHA256: 17861f2acd9e1777592dffe7df39c3466dd28617f7fd9b96dcd79301f684385e
SHA512: 2a2e0f3bc10912833e347fe6644b3a4de9ba4423e3cf0812526981316501e5ad01899b37cce00b53f8658db526befc3255658ed1e5f6f87924965629b320e9c1
Homepage: https://cran.r-project.org/package=rlist
Description: CRAN Package 'rlist' (A Toolbox for Non-Tabular Data Manipulation)
 Provides a set of functions for data manipulation with list objects,
 including mapping, filtering, grouping, sorting, updating, searching, and
 other useful functions. Most functions are designed to be pipeline friendly
 so that data processing with lists can be chained.

Package: r-cran-rlistings
Architecture: all
Version: 0.2.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1965
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-formatters, r-cran-tibble, r-cran-checkmate
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rlistings_0.2.12-1.ca2004.1_all.deb
Size: 1245212
MD5sum: 2dcee4d9ebcc6977c619544d806f03e6
SHA1: c7e5fe2bf118388fc9ccfa91ffbc9554326dcf36
SHA256: 81c58e35f241c0f75e15234a50caaabaf45a09b7c55d149dd03bcc85690ba017
SHA512: 7ff51314588797acc7613fee9e0239cc6282d3a4e4d08056a628be6c811836afd1a5ec9505d56081c82b078d1ba43738a6f23299b65658d93a4e9b4979953cc5
Homepage: https://cran.r-project.org/package=rlistings
Description: CRAN Package 'rlistings' (Clinical Trial Style Data Readout Listings)
 Listings are often part of the submission of clinical trial data in
 regulatory settings.  We provide a framework for the specific formatting
 features often used when displaying large datasets in that context.

Package: r-cran-rllama
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rllama_0.4.4-1.ca2004.1_all.deb
Size: 27860
MD5sum: ec777551594453f284f16b7ceb1a7364
SHA1: 1cf429ff62f32d9d232b3292f44b3aa32f15c820
SHA256: c4bb1386a9c27946005ef6cb84d6b6aeed37c0b920fef5fc0bb1802e1965239d
SHA512: 8928c4395c7243e4f5dcbcd6b0e602e30855e0b0b1ee5b0a5d81083b444c73e9f52475987818f774ffdad19f259a5ca754a6b1343610e68dd0ac78eedab47766
Homepage: https://cran.r-project.org/package=rllama
Description: CRAN Package 'rllama' (Access and Analyze Data from 'DeFiLlama')
 Provides an interface to access and analyze data from
 'DeFiLlama'<https://defillama.com>. This package simplifies the process of
 fetching and manipulating 'DeFiLlama' data for further analysis and
 visualization.

Package: r-cran-rlmdatadriven
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-rlmdatadriven_0.4.0-1.ca2004.1_all.deb
Size: 52100
MD5sum: 414f7a649cdf0e27d7a81e2f03d7f746
SHA1: dafe0ea260754e78f3d8c7ac3363a32c07bf6486
SHA256: 9a4af4963a782993ca2a53075a164d12311cb905c39c6ab52379c800dc6cfe1b
SHA512: de6eedb2fdc1cc26bb37466439bbc1e2c90b84b8dcd75899b0ac51a345648a215be1830bdf081d06a5a2681b405155310774f72b2ac989d63a1ea03225bce40b
Homepage: https://cran.r-project.org/package=rlmDataDriven
Description: CRAN Package 'rlmDataDriven' (Robust Regression with Data Driven Tuning Parameter)
 Data driven approach for robust regression estimation in homoscedastic and
 heteroscedastic context. See Wang et al. (2007),
 <doi:10.1198/106186007X180156> regarding homoscedastic framework.

Package: r-cran-rlog
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rlog_0.1.0-1.ca2004.1_all.deb
Size: 15864
MD5sum: 145a0800729b15fd4211e08e54e37695
SHA1: cd3f3febb4c832d5d7f44dce89ac6e5206398ad4
SHA256: 187fdd6e4ddb103d8310c9a8dfc9023d6cabe52761de47446d66e744240dd375
SHA512: 329a874772fd65ad83db885cf11372c91d75854099cb255a9dbd9e00b2de18f0bb66309c62e80a4b673c4594f984dd004abc4886169575823686a67c6c5f43c2
Homepage: https://cran.r-project.org/package=rlog
Description: CRAN Package 'rlog' (A Simple, Opinionated Logging Utility)
 A very lightweight package that writes out log messages in an opinionated
 way.  Simpler and lighter than other logging packages, 'rlog' provides a
 compact feature set that focuses on getting the job done in a Unix-like way.

Package: r-cran-rlogicalops
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rstackdeque
Filename: pool/dists/focal/main/r-cran-rlogicalops_0.1-1.ca2004.1_all.deb
Size: 12760
MD5sum: cfcc662b16251713c0a85b3c9ef1b967
SHA1: 2cdfaab089f4472c5d3e974746f9b388f93f3b6c
SHA256: 645471b2cc4bd5ae1a72aa627ece2e5a721282cdf131eab4a92c70a0aa437f03
SHA512: c35cef95c06ef214946ec16ccf1b97bdd8789f712322f6fd7d5f2305268ca73e54abe01dde624e013afb8f316037f82c0050a583672264f3a47dcd28d372d0bc
Homepage: https://cran.r-project.org/package=RLogicalOps
Description: CRAN Package 'RLogicalOps' (Process Logical Operations)
 Processing logical operations such as AND/OR/NOT operations dynamically. It
 also handles nesting in the operations.

Package: r-cran-rloptimal
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dosefinding, r-cran-glue, r-cran-r6, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rloptimal_1.2.1-1.ca2004.1_all.deb
Size: 244068
MD5sum: 43bf9915b923809c91c7ee2e01370646
SHA1: c4d843179608c1624e902f91d64ea9a3fcf4ed84
SHA256: 22a60ecc2ab5ffae956248fa4d60a7a6a931241c37d6295b140ad0839d6b01cf
SHA512: c7908a4ce44d2b21c371d99f77a9cbd145e5c35da2986208b0d8002ad8158a6caba65dfa4e657bf61c42cf4d412b9b85c7431d6862c9d3961c524addcf8113ce
Homepage: https://cran.r-project.org/package=RLoptimal
Description: CRAN Package 'RLoptimal' (Optimal Adaptive Allocation Using Deep Reinforcement Learning)
 An implementation to compute an optimal adaptive allocation rule using deep
 reinforcement learning in a dose-response study (Matsuura et al. (2022)
 <doi:10.1002/sim.9247>).  The adaptive allocation rule can directly optimize
 a performance metric, such as power, accuracy of the estimated target dose,
 or mean absolute error over the estimated dose-response curve.

Package: r-cran-rlowdb
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-yyjsonr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rlowdb_0.2.0-1.ca2004.1_all.deb
Size: 1688852
MD5sum: 8554be094b703fd8bc39d44b84732914
SHA1: c105d914ef4dd27a7b6a9f17c52671984eb6a073
SHA256: 4e770ddfff3d7d0098d6ec2e0f2c1b0b35a56cf18c42d2fc4086b1c2e8571948
SHA512: 9debedd04d16ca8493a54416bc52dfc46b15ca943389d1082d5d6f59adfd354c484e280dcdaf11c7a6c6b83a2fd5bcd0c0234573c913c8aa51aed926106f818d
Homepage: https://cran.r-project.org/package=rlowdb
Description: CRAN Package 'rlowdb' (Lightweight JSON-Based Database)
 The goal of 'rlowdb' is to provide a lightweight, file-based JSON database.
 Inspired by 'LowDB' in 'JavaScript', it generates an intuitive interface for
 storing, retrieving, updating, and querying structured data without
 requiring a full-fledged database system.  Ideal for prototyping,
 small-scale applications, and lightweight data management needs.

Package: r-cran-rlumshiny
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-luminescence, r-cran-shiny, r-cran-rhandsontable, r-cran-data.table, r-cran-googlevis, r-cran-leaflet, r-cran-shinydashboard, r-cran-rcarb, r-cran-markdown, r-cran-readxl, r-cran-dt, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rlumshiny_0.2.4-1.ca2004.1_all.deb
Size: 283384
MD5sum: 53c6044a80131aee3ef54a1d9e9f5b45
SHA1: 3a4ebcfaf590195566e59471021290bae39d0060
SHA256: a3b514cd4c9ae07a85b0ecbf62fd1d282816c9b8328845b77b50e587010a31b9
SHA512: d9a998ff7e2220e1e3b340c21e3ff12173c5cb3ff25a72717b6dee66e47c46ef863cd9c176121837120bb5e521f50b5232f4d93a869675ac84122d7487c2c477
Homepage: https://cran.r-project.org/package=RLumShiny
Description: CRAN Package 'RLumShiny' ('Shiny' Applications for the R Package 'Luminescence')
 A collection of 'shiny' applications for the R package 'Luminescence'. These
 mainly, but not exclusively, include applications for plotting chronometric
 data from e.g. luminescence or radiocarbon dating. It further provides
 access to bootstraps tooltip and popover functionality and contains the
 'jscolor.js' library with a custom 'shiny' output binding.

Package: r-cran-rm.weights
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psychotools, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-rm.weights_2.0-1.ca2004.1_all.deb
Size: 206952
MD5sum: 90d5105cfe6b0e044e50207f45bdefb4
SHA1: 79a2592ba751f50c5aef25990e7e932c6edddd86
SHA256: f752fe5ffcae8447d191056cb87c09185c70e6ff3e28c8c20e49ef9b9aa04f66
SHA512: f785353eaa8a3af052035a9dcbc2fd6b6de46a1f7d4e230d72d0868adcc45f229a682110d1bc09d9cf82e382a0b623845482285d3017fa33fa6e97751bbcb1c5
Homepage: https://cran.r-project.org/package=RM.weights
Description: CRAN Package 'RM.weights' (Weighted Rasch Modeling and Extensions using Conditional MaximumLikelihood)
 Rasch model and extensions for survey data, using Conditional Maximum
 likelihood (CML). Carlo Cafiero, Sara Viviani, Mark Nord (2018)
 <doi:10.1016/j.measurement.2017.10.065>.

Package: r-cran-rm2006
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rm2006_0.1.1-1.ca2004.1_all.deb
Size: 12880
MD5sum: f2de4ce17e2db73c5785d68272013cb3
SHA1: 521888e19b892bd6a05ceb317737b2197d2ce6ee
SHA256: 9a77a5c8f0ebe92df8f919c28ac7b8347876dc0580d92913c95bf24875d0228d
SHA512: 6f010950087af6f6a1a03a72b9394bbccc6d4c4bd0210b763795b6360c3a3698b55727a0256597fc1b4bc17524f232f4409d68dafd7e4f8e8521fd4375f8201e
Homepage: https://cran.r-project.org/package=RM2006
Description: CRAN Package 'RM2006' (RiskMetrics 2006 Methodology)
 Estimation of the conditional covariance matrix using the RiskMetrics 2006
 methodology of Zumbach (2007) <doi:10.2139/ssrn.1420185>.

Package: r-cran-rma.exact
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-abind
Filename: pool/dists/focal/main/r-cran-rma.exact_0.1.0-1.ca2004.1_all.deb
Size: 54268
MD5sum: 692d5f8b2fd66f68a12712bfdea2ba82
SHA1: b21d66e4947f300f2cba12f884c50ed8eb307a1e
SHA256: f67063222ac3ceebabb30fa9a46d2edba9fdb6c5c0a225539a54a7163499d119
SHA512: 16f34bb5e8d2430fd44d9d793f55d51bbd01fa03ea2e37eb867522dc9d68a69c2afcc620af7ce5904c3eb7da7e2c5e2af956a5f524f69a8eece19d998df6e14c
Homepage: https://cran.r-project.org/package=rma.exact
Description: CRAN Package 'rma.exact' (Exact Confidence Intervals for Random Effects Meta-Analyses)
 Compute an exact CI for the population mean under a random effects model.
 The routines implement the algorithm described in Michael, Thronton, Xie,
 and Tian (2017)
 <https://haben-michael.github.io/research/Exact_Inference_Meta.pdf>.

Package: r-cran-rmacrostrat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-geojsonsf, r-cran-httr, r-cran-jsonlite, r-cran-sf
Suggests: r-cran-covr, r-cran-cowplot, r-cran-deeptime, r-cran-devtools, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggspatial, r-cran-knitr, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rphylopic, r-cran-palaeoverse, r-cran-testthat, r-cran-units
Filename: pool/dists/focal/main/r-cran-rmacrostrat_1.0.0-1.ca2004.1_all.deb
Size: 2230776
MD5sum: 2c11b590a9c0284e374ce5d061499da8
SHA1: 6ef7209fe1e052e98ae5e5649ffb1144b558e873
SHA256: 6f2dd4a7e4a5c80db5cdf48e61b163c014b82b56a2ed1c2bdc03aa15e4b3045b
SHA512: ec3d8741039c99582f863281105903c5361b69ca494c96f785908251f585b418282bd8b429d838b54a28b3b132af112f6770771222332fe1deac7a81be3de9b3
Homepage: https://cran.r-project.org/package=rmacrostrat
Description: CRAN Package 'rmacrostrat' (Fetch Geologic Data from the 'Macrostrat' Platform)
 Work with the 'Macrostrat' (<https://macrostrat.org/>) Web Service (v.2,
 <https://macrostrat.org/api/v2>) to fetch geological data relevant to the
 spatial and temporal distribution of sedimentary, igneous, and metamorphic
 rocks as well as data extracted from them.

Package: r-cran-rmaczek
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ga, r-cran-seriation, r-cran-e1071, r-cran-ecp, r-cran-fuzzydbscan, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-rmaczek_1.6.0-1.ca2004.1_all.deb
Size: 112332
MD5sum: 44541dc0e08572009bdcd3470890d7bf
SHA1: 71f67bbcff4a5e7bee6bd50a8107b997e395f33f
SHA256: 6a2b363693a34adcf39b6cd2278d659ecdcf43ec9a3db0a05fb021d6f752893b
SHA512: e831e63c97fdf745ab8b2ecbed36c5a2b64c12028a028542540f743ce1c9e36c50ce171e6c4cde6132221a611bbdb78aad86ce8306e29598d367d568b540deac
Homepage: https://cran.r-project.org/package=RMaCzek
Description: CRAN Package 'RMaCzek' (Czekanowski's Diagrams)
 Allows for production of Czekanowski's Diagrams with clusters. See K.
 Bartoszek, A. Vasterlund (2020) <doi:10.2478/bile-2020-0008> and K.
 Bartoszek, Y. Luo (2023) <doi:10.14708/ma.v51i2.7259>.

Package: r-cran-rmaf
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rmaf_3.0.1-1.ca2004.1_all.deb
Size: 36232
MD5sum: 4af03c1561fa896f8955c4768b051160
SHA1: 07c835c36a688dbce04d4944c07e391404ed85c0
SHA256: 795f609149ec9fb5d329443e0e4ee59808750ecde8c40328afa88cb1862d7e78
SHA512: 0fecf3dd54a671a02512d274d6e9e536a9c34784e865feaf679fec24fe9beca9b621ecf1d6c940bc955e53bcfe26ef5a80c4069f236d4391715d66f1f1c7fcd8
Homepage: https://cran.r-project.org/package=rmaf
Description: CRAN Package 'rmaf' (Refined Moving Average Filter)
 Uses refined moving average filter based on the optimal and data-driven
 moving average lag q or smoothing spline to estimate trend and seasonal
 components, as well as irregularity (residuals) for univariate time series
 or data.

Package: r-cran-rmagic
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3771
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-reticulate, r-cran-ggplot2
Suggests: r-cran-seurat, r-cran-readr, r-cran-viridis, r-cran-phater
Filename: pool/dists/focal/main/r-cran-rmagic_2.0.3-1.ca2004.1_all.deb
Size: 2297768
MD5sum: 88af57d4d924dbaedd163222a7f867c4
SHA1: d01786ec5fc8e0db3aa1975eaea554345b66f7c6
SHA256: fa029a829d059545bcdc7ae74650b62ea4dfd6377f0434655494141cd8656566
SHA512: a455fd5c9c3367316fa76d39598b0309a1b5d155da2faea80136d05d37ef30009f3f7e3fc6c8cf20f01fa730bba0e2f41c47260789f292dfc51ee39b0d6b634d
Homepage: https://cran.r-project.org/package=Rmagic
Description: CRAN Package 'Rmagic' (MAGIC - Markov Affinity-Based Graph Imputation of Cells)
 MAGIC (Markov affinity-based graph imputation of cells) is a method for
 addressing technical noise in single-cell data, including under-sampling of
 mRNA molecules, often termed "dropout" which can severely obscure important
 gene-gene relationships. MAGIC shares information across similar cells, via
 data diffusion, to denoise the cell count matrix and fill in missing
 transcripts. Read more: van Dijk et al. (2018)
 <DOI:10.1016/j.cell.2018.05.061>.

Package: r-cran-rmake
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pryr, r-cran-assertthat, r-cran-rmarkdown, r-cran-visnetwork
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmake_1.1.0-1.ca2004.1_all.deb
Size: 86936
MD5sum: 15584ced29e34baba16088720294437c
SHA1: 98ffd4dc89d7140b07e111e1769c1337f797b87f
SHA256: 3fe93f67b6f1ab6e9d841dc148a9e1c838978ace78feba9bb732ec353d467269
SHA512: 82a7e02aa8e49a48b733a7c63c613687f19411268fe7d715c35d4509253ad8f1d9a305b1fa4ae802fe2440076e26095dbb7beb0003319def94dd2c02707d5a97
Homepage: https://cran.r-project.org/package=rmake
Description: CRAN Package 'rmake' (Makefile Generator for R Analytical Projects)
 Creates and maintains a build process for complex analytic tasks in R.
 Package allows to easily generate Makefile for the (GNU) 'make' tool, which
 drives the build process by (in parallel) executing build commands in order
 to update results accordingly to given dependencies on changed data or
 updated source files.

Package: r-cran-rmallow
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat
Filename: pool/dists/focal/main/r-cran-rmallow_1.1-1.ca2004.1_all.deb
Size: 159992
MD5sum: 069543880600317837d34c486aaa1567
SHA1: 8be092a029b125dd4d56534bbf57c3b6bbe14fd9
SHA256: bea50a2377e819a8c1cab3ba856ab7b6c2503b7b27fd23fed050779c1e521700
SHA512: 416d91b834b89109f962185f592359f9ecbe1bb2835ad5de5dfccf627342d54ba025381aeab97da2a1c1fc1ec0e1d21a3aeaeb48949bdcd2cb0b6d14c870bc32
Homepage: https://cran.r-project.org/package=RMallow
Description: CRAN Package 'RMallow' (Fit Multi-Modal Mallows' Models to Ranking Data)
 An EM algorithm to fit Mallows' Models to full or partial rankings, with or
 without ties.  Based on Adkins and Flinger (1998)
 <doi:10.1080/03610929808832223>.

Package: r-cran-rmangal
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1642
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-igraph, r-cran-jsonlite, r-cran-memoise
Suggests: r-cran-ggraph, r-cran-knitr, r-cran-magrittr, r-cran-mapview, r-cran-rmarkdown, r-cran-sf, r-cran-spelling, r-cran-tidygraph, r-cran-testthat, r-cran-tibble, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rmangal_2.1.3-1.ca2004.1_all.deb
Size: 1288268
MD5sum: c210e4cc955377c035fc6b5809e255a3
SHA1: ef1b63ea5812448716bf28fdb6f6d121fefd84a9
SHA256: 9f2cd7fc960be5289e01046429682c328c095f6befd17e49cf485149e4cab691
SHA512: a6f642ce8924b720958ce0a32a76c8534c75787564a19a31104da611b2ca848f09134cbd3fd6633e8ad9be8899c247f88caaa5c8782a73aa801d90935c384559
Homepage: https://cran.r-project.org/package=rmangal
Description: CRAN Package 'rmangal' ('Mangal' Client)
 An interface to the 'Mangal' database - a collection of ecological networks.
 This package includes functions to work with the 'Mangal RESTful API'
 methods (<https://mangal-interactions.github.io/mangal-api/>).

Package: r-cran-rmapshaper
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4984
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geojsonsf, r-cran-jsonify, r-cran-readr, r-cran-sf, r-cran-sp, r-cran-v8
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-jsonlite, r-cran-covr, r-cran-units, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rmapshaper_0.5.0-1.ca2004.1_all.deb
Size: 1250400
MD5sum: 3c1e27b09febd9acdb82cb480ae95ec1
SHA1: 8858b2483f90d9d9e8f15e8dbed8f0bba6c27e93
SHA256: dca999fc7b6a59c4b2bc8a8b62114364b40d2cf99c3cddcd8f86b248af1b1700
SHA512: 32ed882967cd301705e402b944beac8bb78c7b6c3e131f6bde20760e14bac14e7a8b96c47a22479633d5294f00fcce60bf820c75965ead78c3f56c5c7abb117f
Homepage: https://cran.r-project.org/package=rmapshaper
Description: CRAN Package 'rmapshaper' (Client for 'mapshaper' for 'Geospatial' Operations)
 Edit and simplify 'geojson', 'Spatial', and 'sf' objects.  This is wrapper
 around the 'mapshaper' 'JavaScript' library by Matthew Bloch
 <https://github.com/mbloch/mapshaper/> to perform topologically-aware
 polygon simplification, as well as other operations such as clipping,
 erasing, dissolving, and converting 'multi-part' to 'single-part'
 geometries.

Package: r-cran-rmapzen
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-httr, r-cran-jsonlite, r-cran-isocodes, r-cran-dplyr, r-cran-assertthat, r-cran-geojsonio, r-cran-tidyr, r-cran-purrr, r-cran-digest, r-cran-sf
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-rmapzen_0.5.1-1.ca2004.1_all.deb
Size: 505572
MD5sum: 1fd77a0c1819a9b555e935439c0e168a
SHA1: 8ba8865ca9186e1c267f6566a6822542653210cd
SHA256: c5aab426d94602d75a28ddf2f9252092f42db71433f35a16fbbdbe2e26a6ee7c
SHA512: 3856ff59e5624ca10ef770d12cfdf31cdebfe2a0662475ccbe1d1b4baedc5ed446d7f2dc6df521cd8ceb317126323c9b29dc6eb75df928bdc4a3a14ab2b6cbc8
Homepage: https://cran.r-project.org/package=rmapzen
Description: CRAN Package 'rmapzen' (Client for 'Mapzen' and Related Map APIs)
 Provides an interface to 'Mapzen'-based APIs (including geocode.earth,
 Nextzen, and NYC GeoSearch) for geographic search and geocoding, isochrone
 calculation, and vector data to draw map tiles.  See
 <https://www.mapzen.com/documentation/> for more information. The original
 Mapzen has gone out of business, but 'rmapzen' can be set up to work with
 any provider who implements the Mapzen API.

Package: r-cran-rmarineheatwaves
Architecture: all
Version: 0.17.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 845
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-ggplot2, r-cran-lubridate, r-cran-dplyr, r-cran-zoo, r-cran-tidyr, r-cran-plyr, r-cran-raster, r-cran-lazyeval, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmarineheatwaves_0.17.0-1.ca2004.1_all.deb
Size: 543868
MD5sum: af3e797b9b896b81e4a6e219237ea912
SHA1: b1d2a4c88dbe6637314ae2452ba9ca8f427f5fb1
SHA256: eb4416ec644c914ac780bac4008208ef7d705276c6bd923425fcbcf7a5d860ad
SHA512: 8b83e4c38a1ef7ab37f7afbb447c20de162a2b29589070903ae359cb83153f7ee5bb8d39a37a99f36adbfba0f21fdf426c1a5d826aa1195811949fa3867cef7a
Homepage: https://cran.r-project.org/package=RmarineHeatWaves
Description: CRAN Package 'RmarineHeatWaves' (Detect Marine Heat Waves and Marine Cold Spells)
 Given a time series of daily temperatures, the package provides tools to
 detect extreme thermal events, including marine heat waves, and to calculate
 the exceedances above or below specified threshold values.  It outputs the
 properties of all detected events and exceedances.

Package: r-cran-rmark
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2563
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrixcalc, r-cran-msm, r-cran-coda
Suggests: r-cran-lattice, r-cran-nlme, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-rmark_3.0.0-1.ca2004.1_all.deb
Size: 1381852
MD5sum: adc7dd6572b013ba41ea263185ee692f
SHA1: 74bf202081148acec5e5b588a4f3a0dfc844f2e0
SHA256: c384fa44af6a947f9c919f2376eb2a4c11fd2a3a21449da88948098744488170
SHA512: 865d6f84498fbd47cd9a5274c0ecc7c8dc2506bc5af233cc7693f94a4fcbb51de29b3cc4f2d913c2d3cc7eb9cb4418e991e21ecdd43a22f36a387264fca6eff0
Homepage: https://cran.r-project.org/package=RMark
Description: CRAN Package 'RMark' (R Code for Mark Analysis)
 An interface to the software package MARK that constructs input files for
 MARK and extracts the output. MARK was developed by Gary White and is freely
 available at <http://www.phidot.org/software/mark/downloads/> but is not
 open source.

Package: r-cran-rmarkdown
Architecture: all
Version: 2.29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6850
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-evaluate, r-cran-fontawesome, r-cran-htmltools, r-cran-jquerylib, r-cran-jsonlite, r-cran-knitr, r-cran-tinytex, r-cran-xfun, r-cran-yaml
Suggests: r-cran-digest, r-cran-dygraphs, r-cran-fs, r-cran-rsconnect, r-cran-downlit, r-cran-katex, r-cran-sass, r-cran-shiny, r-cran-testthat, r-cran-tibble, r-cran-vctrs, r-cran-cleanrmd, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rmarkdown_2.29-1.ca2004.1_all.deb
Size: 1943632
MD5sum: 05e069ca2126d3a0fd20e58745fa5b83
SHA1: 776e055d2f70ab709e46ba55617cff283fbe80fb
SHA256: 3589e40123dedd7ca096af0210210aa510d83e19c842eb06193405ab07b6da88
SHA512: 52b0553ec6855531a727a3bfe96d00281546b3b3963d729c8a98ce281160e97160e62554a02b9cde9c3694eecf7a89c52aa74cb54cc98f46bbefe05e6fc7ed2d
Homepage: https://cran.r-project.org/package=rmarkdown
Description: CRAN Package 'rmarkdown' (Dynamic Documents for R)
 Convert R Markdown documents into a variety of formats.

Package: r-cran-rmass2
Architecture: all
Version: 0.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmass2_0.0.0.2-1.ca2004.1_all.deb
Size: 43028
MD5sum: 5aaa132ec716544f9e7f3fc7121e3ad4
SHA1: 04f1ea795d4e84decf776cfe9a3b073a137f25fb
SHA256: 57b013af9a44eb160de5d1e0c2f588029bbc632c14dbf300f29338668afe2e60
SHA512: b92217ae9a15d8bbb50029c002a827ffb2558b7938ba485d98fd90c2448d92007f24a9817f2b43c90d203dc1bc8b67dac186a6f1604317534c49dbdba41a32c4
Homepage: https://cran.r-project.org/package=rmass2
Description: CRAN Package 'rmass2' (Repeated Measures with Attrition: Sample Sizes and Power Levelsfor 2 Groups)
 For the calculation of sample size or power in a two-group repeated measures
 design, accounting for attrition and accommodating a variety of correlation
 structures for the repeated measures; details of the method can be found in
 the scientific paper: Donald Hedeker, Robert D. Gibbons, Christine Waternaux
 (1999) <doi:10.3102/10769986024001070>.

Package: r-cran-rmat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rmat_0.2.0-1.ca2004.1_all.deb
Size: 51504
MD5sum: 16f0e08aeb3bca6d1ffedd29343b0ac9
SHA1: 668de48e0b6d00a0a1f36afe0739886204ab7c88
SHA256: 63c35ad5d28a135d5d954ff51e7cdfc1fce83072d02062a8d526b716ab1eaa55
SHA512: 511fb602da0562ded9ac28fca916719e9ebae9e91872533031f07026c037186d0cc83e739b513759ac7953a206194c391d2283f16df6c6be4ecee31f656f312b
Homepage: https://cran.r-project.org/package=RMAT
Description: CRAN Package 'RMAT' (Random Matrix Analysis Toolkit)
 Simulate random matrices and ensembles and compute their eigenvalue spectra
 and dispersions.

Package: r-cran-rmawgen
Architecture: all
Version: 1.3.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1999
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chron, r-cran-date, r-cran-vars, r-cran-matrix
Suggests: r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-rmawgen_1.3.9.3-1.ca2004.1_all.deb
Size: 1979860
MD5sum: 3282cbcb12d2cbd03a196dc46f35da00
SHA1: 5424af5ea34ea54ab839949d9e9d571ce444d505
SHA256: 03b21c15d8806a69eebc4bef05fa28e24dda8e936e2b471789b5c84c1e653be2
SHA512: 9d0c46bd194bb4972492a1c571db36b841c21eeccba3a4776be2e4fa697198a14d37822fbfdad67ded27720e719ee0def768a650ff3543731c46fe5934a434b3
Homepage: https://cran.r-project.org/package=RMAWGEN
Description: CRAN Package 'RMAWGEN' (Multi-Site Auto-Regressive Weather GENerator)
 S3 and S4 functions are implemented for spatial multi-site stochastic
 generation of daily time series of temperature and precipitation. These
 tools make use of Vector AutoRegressive models (VARs).  The weather
 generator model is then saved as an object and is calibrated by daily
 instrumental "Gaussianized" time series through the 'vars' package tools.
 Once obtained this model, it can it can be used for weather generations and
 be adapted to work with several climatic monthly time series.

Package: r-cran-rmbc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ktaucenters, r-cran-mvtnorm, r-cran-mass
Suggests: r-cran-tclust, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmbc_0.1.0-1.ca2004.1_all.deb
Size: 54828
MD5sum: 841920a2a6e1ea6644c5d45bb6d378bb
SHA1: 299fe2e996a72a3b8ddb57e995e54713b18601ea
SHA256: 20c92d8225671972446262e105d5fbfa52e95bad86e3b9db33dce9ef17d55d8f
SHA512: 634fb410c03fb0b4e97daa2bde9da453337ca56d6f27500ce23e28f101b5ffe59956519bbd8eb065dc9a1ba23a3e11eb73b7ffd93bfe91fcbddf03c95af981dd
Homepage: https://cran.r-project.org/package=RMBC
Description: CRAN Package 'RMBC' (Robust Model Based Clustering)
 A robust clustering algorithm (Model-Based) similar to Expectation
 Maximization for finite mixture normal distributions is implemented, its
 main advantage is that the estimator is resistant to outliers, that means
 that results of parameter estimation are still correct when there are
 atypical values in the sample (see Gonzalez, Maronna, Yohai and Zamar (2021)
 <arxiv:2102.06851>).

Package: r-cran-rmcda
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-fmsb, r-cran-lpsolve, r-cran-matlib, r-cran-nloptr, r-cran-matrixstats, r-cran-pracma
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmcda_0.3-1.ca2004.1_all.deb
Size: 241996
MD5sum: 15d9a01f021113b3bdd9c0dbb311e3e9
SHA1: 035d011ec499039b28843ab50f175b2935070d1d
SHA256: 319814550cabbecfbffe016ee85925899c1ac9a6e0b028306a7142fa56ec8571
SHA512: 5868f66a8bda875cef07f36cfa7d2de56f378fbbcb926b5d008a5369c6a391c73764e2e917e19c6a62d3d64720ac517bf89be0400c57d4b4292e16cbf1acb54a
Homepage: https://cran.r-project.org/package=RMCDA
Description: CRAN Package 'RMCDA' (Multi-Criteria Decision Analysis)
 Supporting decision making involving multiple criteria. Annice Najafi,
 Shokoufeh Mirzaei (2025) RMCDA: The Comprehensive R Library for applying
 multi-criteria decision analysis methods, Volume 24, e100762
 <doi:10.1016/j.simpa.2025.100762>.

Package: r-cran-rmcfs
Architecture: all
Version: 1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4939
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava, r-cran-yaml, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2, r-cran-dplyr, r-cran-stringi, r-cran-igraph, r-cran-data.table
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rmcfs_1.3.6-1.ca2004.1_all.deb
Size: 4709444
MD5sum: d81852c3db85bcbea9f93a2353674894
SHA1: b0c2ac3225197a1d767d25a3caa18c1d62971f3b
SHA256: fec4dd84db40a1032e3435e46655f2085d7295d56b01c3a40357d99c3ac2e11d
SHA512: 9392743e49a4e3964f117945730b94d521367b10087f508dd6023f1746be4c2f3d02c4508c42e5cf191a63f2673efde5006dc900c2bcd6723ae69dfed3d07b85
Homepage: https://cran.r-project.org/package=rmcfs
Description: CRAN Package 'rmcfs' (The MCFS-ID Algorithm for Feature Selection and InterdependencyDiscovery)
 MCFS-ID (Monte Carlo Feature Selection and Interdependency Discovery) is a
 Monte Carlo method-based tool for feature selection. It also allows for the
 discovery of interdependencies between the relevant features. MCFS-ID is
 particularly suitable for the analysis of high-dimensional, 'small n large
 p' transactional and biological data. M. Draminski, J. Koronacki (2018)
 <doi:10.18637/jss.v085.i12>.

Package: r-cran-rmcmc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-rlang, r-cran-withr
Suggests: r-cran-knitr, r-cran-posterior, r-cran-progress, r-cran-ramcmc, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmcmc_0.1.1-1.ca2004.1_all.deb
Size: 401636
MD5sum: c83af2b51ec070d83b0230f8be02dbd9
SHA1: 7feaf8d1d1b7cac7c7c87af50153d0c2b1fc4868
SHA256: 7330e5d13260e169c606c3ec3002219863cab16be88def21329025d8a3ce5270
SHA512: 4101e4fd770a3186d94eae6e10bb81377e0d2ad6bd3bd2886932b22e46b9ac0527f3a1e16d3e0fcf716079783aa3fdd36c3b0b8f7f369284229588ba70915c48
Homepage: https://cran.r-project.org/package=rmcmc
Description: CRAN Package 'rmcmc' (Robust Markov Chain Monte Carlo Methods)
 Functions for simulating Markov chains using the Barker proposal to compute
 Markov chain Monte Carlo (MCMC) estimates of expectations with respect to a
 target distribution on a real-valued vector space. The Barker proposal,
 described in Livingstone and Zanella (2022) <doi:10.1111/rssb.12482>, is a
 gradient-based MCMC algorithm inspired by the Barker accept-reject rule. It
 combines the robustness of simpler MCMC schemes, such as random-walk
 Metropolis, with the efficiency of gradient-based methods, such as the
 Metropolis adjusted Langevin algorithm.  The key function provided by the
 package is sample_chain(), which allows sampling a Markov chain with a
 specified target distribution as its stationary distribution. The chain is
 sampled by generating proposals and accepting or rejecting them using a
 Metropolis-Hasting acceptance rule.  During an initial warm-up stage, the
 parameters of the proposal distribution can be adapted, with adapters
 available to both: tune the scale of the proposals by coercing the average
 acceptance rate to a target value; tune the shape of the proposals to match
 covariance estimates under the target distribution. As well as the default
 Barker proposal, the package also provides implementations of alternative
 proposal distributions, such as (Gaussian) random walk and Langevin
 proposals. Optionally, if 'BridgeStan's R interface
 <https://roualdes.github.io/bridgestan/latest/languages/r.html>, available
 on GitHub <https://github.com/roualdes/bridgestan>, is installed, then
 'BridgeStan' can be used to specify the target distribution to sample from.

Package: r-cran-rmcorr
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2494
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-psych, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plotrix, r-cran-lme4, r-cran-mertools, r-cran-pwr, r-cran-aiccmodavg, r-cran-pals, r-cran-testthat, r-cran-vdiffr, r-cran-corrplot, r-cran-cocor, r-cran-covr, r-cran-ggextra, r-cran-gglm, r-cran-dplyr, r-cran-esc, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-rmcorr_0.7.0-1.ca2004.1_all.deb
Size: 1456652
MD5sum: 453c07481443041fb43721307b8af9a9
SHA1: 394449197ce5f17e3dcf780ebe46ee7e37ccb4d2
SHA256: b4c36bad33e441e3653f0088b3c36aa6aca2000e886e0d2e63fecdf84d75d1f2
SHA512: 272f1bb0303efb86cb2d6ecf8162d5f9e58a08d85340bf77d8d2c3d3e16926afb2576ed7108068af33e5d4a8ab7002ad6b1eb174fad99af69f00a03eaadb9ac2
Homepage: https://cran.r-project.org/package=rmcorr
Description: CRAN Package 'rmcorr' (Repeated Measures Correlation)
 Compute the repeated measures correlation, a statistical technique for
 determining the overall within-individual relationship among paired measures
 assessed on two or more occasions, first introduced by Bland and Altman
 (1995).  Includes functions for diagnostics, p-value, effect size with
 confidence interval including optional bootstrapping, as well as graphing.
 Also includes several example datasets. For more details, see the web
 documentation <https://lmarusich.github.io/rmcorr/index.html> and the
 original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.

Package: r-cran-rmda
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape, r-cran-pander, r-cran-mass, r-cran-caret
Filename: pool/dists/focal/main/r-cran-rmda_1.6-1.ca2004.1_all.deb
Size: 108984
MD5sum: 515e38fe3cac20100934bb75f5fcf378
SHA1: 9a8bc7997b904ea3e2001ffa430fc4d5e88a9c24
SHA256: a83280c4ca68e8422a2d1b5fc4ca4d2098ffc334e58e41e5c40f4bd61c54786e
SHA512: 20d9f07c8fbacd4d1a80702f811eaf8262bfd5160c115bace5ee490071f1fb9d923b0d6e0295bc7e6c5b4498fd2fc089b844c39118232c837e2d3087310d3bae
Homepage: https://cran.r-project.org/package=rmda
Description: CRAN Package 'rmda' (Risk Model Decision Analysis)
 Provides tools to evaluate the value of using a risk prediction instrument
 to decide treatment or intervention (versus no treatment or intervention).
 Given one or more risk prediction instruments (risk models) that estimate
 the probability of a binary outcome, rmda provides functions to estimate and
 display decision curves and other figures that help assess the population
 impact of using a risk model for clinical decision making.  Here,
 "population" refers to the relevant patient population. Decision curves
 display estimates of the (standardized) net benefit over a range of
 probability thresholds used to categorize observations as 'high risk'. The
 curves help evaluate a treatment policy that recommends treatment for
 patients who are estimated to be 'high risk' by comparing the population
 impact of a risk-based policy to "treat all" and "treat none" intervention
 policies.  Curves can be estimated using data from a prospective cohort.  In
 addition, rmda can estimate decision curves using data from a case-control
 study if an estimate of the population outcome prevalence is available.
 Version 1.4 of the package provides an alternative framing of the decision
 problem for situations where treatment is the standard-of-care and a risk
 model might be used to recommend that low-risk patients (i.e., patients
 below some risk threshold) opt out of treatment. Confidence intervals
 calculated using the bootstrap can be computed and displayed. A wrapper
 function to calculate cross-validated curves using k-fold cross-validation
 is also provided.

Package: r-cran-rmdconcord
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rmdconcord_0.3-1.ca2004.1_all.deb
Size: 262296
MD5sum: 8cc28d1e169bcfec543bdbe0fc2696e2
SHA1: aab2e345fca84d5f22191c9aae5cc43bcbf44179
SHA256: 2e1d8f50207507005c6adbeb908b76229e097c6cf480b73ba2aa4dee9e3aa286
SHA512: 72cc712b9bbf07bb3883fbf4d5492466472015385930386853d8e8deaca95e4dcbcb374abcd38c9cd263ddd6ef69c3f9b886650df235ce72311c19ce4bd8f21f
Homepage: https://cran.r-project.org/package=RmdConcord
Description: CRAN Package 'RmdConcord' (Concordances for 'R Markdown')
 Supports concordances in 'R Markdown' documents.  This currently allows the
 original source location in the '.Rmd' file of errors detected by 'HTML
 tidy' to be found more easily, and potentially allows forward and reverse
 search in 'HTML' and 'LaTeX' documents produced from 'R Markdown'.  The
 'LaTeX' support has been included in the most recent development version of
 the 'patchDVI' package.

Package: r-cran-rmdfiltr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-rmarkdown
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-stringr, r-cran-bibtex
Filename: pool/dists/focal/main/r-cran-rmdfiltr_0.1.5-1.ca2004.1_all.deb
Size: 56028
MD5sum: 1db03485dbe45c2742b5880b12df78dd
SHA1: 7b5000a83b6a038fd96c066373d4fb4c9bc111c4
SHA256: 871ecd37ca04eb7df94589ec4421b915b4967e567b1f9492cc75249328b2f5fa
SHA512: fdfeba7b94c05a689f974144372e073f7d8f850d978c9959e912e0fb5ff5da473819f85e25f6672f6ff99870d3127fcd6d48db2d4cde40d747a136bb8d6110fe
Homepage: https://cran.r-project.org/package=rmdfiltr
Description: CRAN Package 'rmdfiltr' ('Lua'-Filters for R Markdown)
 A collection of 'Lua' filters that extend the functionality of R Markdown
 templates (e.g., count words or post-process citations).

Package: r-cran-rmdformats
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4709
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-htmltools
Suggests: r-cran-questionr, r-cran-dt, r-cran-palmerpenguins, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rmdformats_1.0.4-1.ca2004.1_all.deb
Size: 1369888
MD5sum: d6aa0d26dd5aae851d27973041902939
SHA1: c51ad95932b7a0b15a5e884de7a832e588754045
SHA256: 50d87cacc4f25ca2f482427c0d653d9d97d8923d7ce7bba0964692853a1dd383
SHA512: 459ebde29ecf439b4276c71e5007000e84a5c4f6450ca43296f84f903a0ea9c3a0a0a508d7f86b2cc6abb2db3639876e9e7709faa273582c83d5ac289bc20107
Homepage: https://cran.r-project.org/package=rmdformats
Description: CRAN Package 'rmdformats' (HTML Output Formats and Templates for 'rmarkdown' Documents)
 HTML formats and templates for 'rmarkdown' documents, with some extra
 features such as automatic table of contents, lightboxed figures, dynamic
 crosstab helper.

Package: r-cran-rmdhelpers
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rmdhelpers_1.3.1-1.ca2004.1_all.deb
Size: 37792
MD5sum: 75a272c5392e9a8cb93342240f9b0a2a
SHA1: 666723fbff04cfbd93823cbcff5226ff8054f3c0
SHA256: a1d0c5f0ab35483c6c852b527764afc3e2b7e585e1822d58e7b9745fcb64f4df
SHA512: bbf226d3ca6e5c12ffce66f0fb103a88319faf74dc7742ff80c96266d688c5f360f7def27378bca33f4d0da1df59f688998945286849ebb221422d3f4f538696
Homepage: https://cran.r-project.org/package=rmdHelpers
Description: CRAN Package 'rmdHelpers' (Helper Functions for Rmd Documents)
 A series of functions to aid in repeated tasks for Rmd documents. All
 details are to my personal preference, though I am happy to add flexibility
 if there are use cases I am missing. I will continue updating with new
 functions as I add utility functions for myself.

Package: r-cran-rmdl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vctrs, r-cran-tibble, r-cran-generics, r-cran-dplyr, r-cran-broom, r-cran-tidyr, r-cran-rlang, r-cran-pillar, r-cran-purrr, r-cran-janitor
Suggests: r-cran-testthat, r-cran-covr, r-cran-cli, r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-gt, r-cran-survival, r-cran-cmprsk, r-cran-tidycmprsk
Filename: pool/dists/focal/main/r-cran-rmdl_0.1.0-1.ca2004.1_all.deb
Size: 255552
MD5sum: d2b9fd0382b27caa4f88c1375f104241
SHA1: 558600b238e6be119e7cd027473bc7a54e3e6712
SHA256: 9245f6313e1b47fe4750c2be485e1863c915d9265af5693f6cf4cb7382be502f
SHA512: 774bfc11340e5f806d7b850d28caeb6afcc3f98205b0beb11a3ebb5b20abb0322c9dace24887f0f59e0f18ba267cc3a3673665fd6cc327c81ca303651f3859dd
Homepage: https://cran.r-project.org/package=rmdl
Description: CRAN Package 'rmdl' (Language to Manage Many Models)
 A system for describing and manipulating the many models that are generated
 in causal inference and data analysis projects, as based on the causal
 theory and criteria of Austin Bradford Hill (1965)
 <doi:10.1177/003591576505800503>. This system includes the addition of
 formal attributes that modify base `R` objects, including terms and
 formulas, with a focus on variable roles in the "do-calculus" of modeling,
 as described in Pearl (2010) <doi:10.2202/1557-4679.1203>. For example, the
 definition of exposure, outcome, and interaction are implicit in the roles
 variables take in a formula. These premises allow for a more fluent modeling
 approach focusing on variable relationships, and assessing effect
 modification, as described by VanderWeele and Robins (2007)
 <doi:10.1097/EDE.0b013e318127181b>. The essential goal is to help
 contextualize formulas and models in causality-oriented workflows.

Package: r-cran-rmdpartials
Architecture: all
Version: 0.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-knitr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-rmarkdown, r-cran-pkgdown, r-cran-covr, r-cran-spelling, r-cran-dplyr, r-cran-dt, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rmdpartials_0.5.8-1.ca2004.1_all.deb
Size: 46516
MD5sum: 493bdeb24b199fbc9a6e11e159c4e54a
SHA1: a02dc2b58c29d482d391e595e3d670fb5c9866cf
SHA256: c5389111cff3cfefe0b9d336144ce92b8556d8928b5993db5b1ea3e16f40aac2
SHA512: f97342b4143b87cf2bc703cb9655141aec8b49aed3684b79accce5605afd0f56cc0f28f662f367da1afdc34c12982dc100c528a0dba6c400aa13b8cfed509752
Homepage: https://cran.r-project.org/package=rmdpartials
Description: CRAN Package 'rmdpartials' (Partial 'rmarkdown' Documents to Prettify your Reports)
 Use 'rmarkdown' partials, also know as child documents in 'knitr', so you
 can make components for HTML, PDF, and Word documents.  The package provides
 various helper functions to make certain functions easier.  You may want to
 use this package, if you want to flexibly summarise objects using a
 combination of figures, tables, text, and HTML widgets.  Unlike HTML
 widgets, the output is Markdown and can hence be turn into other output
 formats than HTML.

Package: r-cran-rmdplugr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-bookdown
Suggests: r-cran-testthat, r-cran-covr, r-cran-spelling, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rmdplugr_0.4.1-1.ca2004.1_all.deb
Size: 296188
MD5sum: 9f329f088b6de0c6b4336c27d22a023f
SHA1: d02787870fce369137fc9065561e7432f8e20cf9
SHA256: e826b05a51618e95bb9477a07c116fad56af43d144db32445ffa6ba10795e71d
SHA512: f26e0ae6509c048750a405e3eaf8ffde6d5486850bd5c0e762be2d9fb7e3214685da6e53ed36b8e3a2c39c2b41230833c050d74f1d7ef2a5d3a2fc8cff3bb6ce
Homepage: https://cran.r-project.org/package=rmdplugr
Description: CRAN Package 'rmdplugr' (Plugins for R Markdown Formats)
 Formats for R Markdown that undo modifications by 'pandoc' and 'rmarkdown'
 to original 'latex' templates, such as smaller margins, paragraph spacing,
 and compact titles. In addition, enhancements such as author blocks with
 affiliations and headers and footers are introduced. All of this
 functionality is built around plugins that modify the default 'pandoc'
 template without relying on custom templates.

Package: r-cran-rmdshower
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rmdshower_2.1.1-1.ca2004.1_all.deb
Size: 2088312
MD5sum: 77f29195c79268a6e620fac7fd1eba5f
SHA1: 0cf9d0019de42baa84786e0f548080201369b5bb
SHA256: 2990a6a9f795d74f7a98eea9804d48f7b5f182ecafd4b652a445c62ff98cf376
SHA512: f740635b51f1c6c4cf2fe396c238d1dc0793db787f23e4995ac5e1e0db7e042a13533a7ead667320399457a98ddccc4da57ac5f89a099ac61921b0321a1f12dd
Homepage: https://cran.r-project.org/package=rmdshower
Description: CRAN Package 'rmdshower' ('R' 'Markdown' Format for 'shower' Presentations)
 'R' 'Markdown' format for 'shower' presentations, see
 <https://github.com/shower/shower>.

Package: r-cran-rmdwc
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-knitr, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmdwc_0.3.1-1.ca2004.1_all.deb
Size: 37640
MD5sum: 6986fe0d3ce1b01dbf826aea9e78efff
SHA1: 60d682eb0a1c831d2f773ff676e64cfff04580b8
SHA256: c9b4ed9b9b5d52b68c0f12d314893bb32e087c46b7746817ab81ed8b7ed55540
SHA512: 4610bc920d1dcfa8770cf4d97f61307776096ff6e23b97ffb3659041121a5cc4ee9c2242e0085992fe088d2008e1b39120914ba0e266281ad4514446b66047aa
Homepage: https://cran.r-project.org/package=rmdwc
Description: CRAN Package 'rmdwc' (Count Words and Characters in R Markdown and Jupyter Notebooks)
 Computes word, character, and non-whitespace character counts in R Markdown
 documents and Jupyter notebooks, with or without code chunks. Returns
 results as a data frame.

Package: r-cran-rmea
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2407
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rmea_1.2.2-1.ca2004.1_all.deb
Size: 900648
MD5sum: 955722f078f5dc0ea82f68d3e39cebd7
SHA1: 8a06e483ac4bfda07151e6eab29731e28f8f587c
SHA256: f43bde9ea28d7dff32a2a2c3b2920704d10b11540794282561430b9195d8e482
SHA512: 09c969d9635da24cbbcb5bfcaba9c9eec7fa0f06f53c98c31f4e61a38785ca9f183f88da350bf3049e212a14954093a1c7119854af64b38bcca5ae4f1886b717
Homepage: https://cran.r-project.org/package=rMEA
Description: CRAN Package 'rMEA' (Synchrony in Motion Energy Analysis (MEA) Time-Series)
 A suite of tools useful to read, visualize and export bivariate motion
 energy time-series. Lagged synchrony between subjects can be analyzed
 through windowed cross-correlation. Surrogate data generation allows an
 estimation of pseudosynchrony that helps to estimate the effect size of the
 observed synchronization. Kleinbub, J. R., & Ramseyer, F. T. (2020). rMEA:
 An R package to assess nonverbal synchronization in motion energy analysis
 time-series. Psychotherapy research, 1-14.
 <doi:10.1080/10503307.2020.1844334>.

Package: r-cran-rmediation
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-e1071, r-cran-openmx, r-cran-mass, r-cran-modelr, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmediation_1.2.2-1.ca2004.1_all.deb
Size: 110584
MD5sum: 4b45b7d8a2f9730579eab0281401d0c3
SHA1: 922ecaab27ec06ffe6840330a5accaacee154a6a
SHA256: 6a71bf90bbd1727a94f9d7b05fed8887728dd45a359ca7f0c3c2361006ecd082
SHA512: 2f2212f7975b970d6f75d08dcc28181328380bdb41c109741389b0751b17a54210fbdf265dc4658088a83293083f85d63cdefa80fd2e97dd3acb2ea0c80dad9a
Homepage: https://cran.r-project.org/package=RMediation
Description: CRAN Package 'RMediation' (Mediation Analysis Confidence Intervals)
 We provide functions to compute confidence intervals for a well-defined
 nonlinear function of the model parameters (e.g., product of k coefficients)
 in single--level and multilevel structural equation models. It also computes
 a chi-square test statistic for a function of indirect effects.  'Tofighi',
 D. and 'MacKinnon', D. P. (2011). 'RMediation' An R package for mediation
 analysis confidence intervals. Behavior Research Methods, 43, 692--700.
 <doi:10.3758/s13428-011-0076-x>.  'Tofighi', D. (2020). Bootstrap
 Model-Based Constrained Optimization Tests of Indirect Effects. Frontiers in
 Psychology, 10, 2989. <doi:10.3389/fpsyg.2019.02989>.

Package: r-cran-rmerec
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmerec_0.1.1-1.ca2004.1_all.deb
Size: 13708
MD5sum: 207984cab344e70d1ce4a5118fd4a690
SHA1: 2e28c85f082e4cd955a8c994c005979a364fac7e
SHA256: 842ba51a854272fc8c4ec3ac07edaeef2356968b076ebb18ccff1272a4ccdaa5
SHA512: 948c8564ec7fbd1ad334dfa2746a5b4e601088e4cdfdd4fe5f5c3110462f238a1213359377aabb3666f9eb28d4e92e702a89b125757f7c015763904053222d9f
Homepage: https://cran.r-project.org/package=rmerec
Description: CRAN Package 'rmerec' (MEREC - Method Based on the Removal Effects of Criteria)
 Implementation of the MEthod based on the Removal Effects of Criteria -
 MEREC- a new objective weighting method for determining criteria weights for
 Multiple Criteria Decision Making problems, created by Mehdi
 Keshavarz-Ghorabaee (2021) <doi:10.3390/sym13040525>. Given a decision
 matrix, the function return the Merec´s weight vector and all intermediate
 matrix/vectors used to calculate it.

Package: r-cran-rmeta
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rmeta_3.0-1.ca2004.1_all.deb
Size: 109964
MD5sum: 824411b6019d0d6f90978316fc314478
SHA1: 089c2873d2db5739f4dc26ba84f293f9512e4477
SHA256: 2eb3997beb601b5ed456c5cb3ea8f54d3c401e0ab19bfa21496fa58003a1fb40
SHA512: 0e3fdaa41d5a5f1af284f50cbde5c9d0b98059a5e9b294bb859148c64736c4aaa6c2b9e5f1690a8cfd9530838473c1e4636e4f5aa9962d84e69963399e4b8605
Homepage: https://cran.r-project.org/package=rmeta
Description: CRAN Package 'rmeta' (Meta-Analysis)
 Functions for simple fixed and random effects meta-analysis for two-sample
 comparisons and cumulative meta-analyses. Draws standard summary plots,
 funnel plots, and computes summaries and tests for association and
 heterogeneity.

Package: r-cran-rmetalog
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-ggplot2
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmetalog_1.0.3-1.ca2004.1_all.deb
Size: 326736
MD5sum: 7ec48ffb9bfe7309d1088d3a9ccbadd9
SHA1: a95aea5a0051c3760c7c585558f61609d5a30712
SHA256: 87c219578aba7a70aa6af2fe0e4353fc7f96078f056544cf16b910727c7afc07
SHA512: 481b8a83ec96c38ee6119fff531e7787584ea3959a146e8c95374312d2acbfac63790eaadb08cfc541ed78dc33100ae817a70191c5dda5b574a0a4b7b07ab9e7
Homepage: https://cran.r-project.org/package=rmetalog
Description: CRAN Package 'rmetalog' (The Metalog Distribution)
 Implementation of the metalog distribution in R.  The metalog distribution
 is a modern, highly flexible, data-driven distribution.  Metalogs are
 developed by Keelin (2016) <doi:10.1287/deca.2016.0338>.  This package
 provides functions to build these distributions from raw data.  Resulting
 metalog objects are then useful for exploratory and probabilistic analysis.

Package: r-cran-rmfanova
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-mass, r-cran-refund
Filename: pool/dists/focal/main/r-cran-rmfanova_0.1.0-1.ca2004.1_all.deb
Size: 60344
MD5sum: 7d628a322afe69930c8bcc53a98341df
SHA1: f4680f544fdd87fb9dde39fe066c2b09f0b55194
SHA256: 6f44dba02cf6c618b7e81e5c8fa2a59da958357f3943f118ac739bfcd7ebd7f7
SHA512: 14eace93e61b24480c4342100e94bd1eb997b6cf1929a890aebc7c4abde6e4e832347d650a2f50a87a48ae8ad7579f296f6916c03ca3b8426fdc5bfc12c27059
Homepage: https://cran.r-project.org/package=rmfanova
Description: CRAN Package 'rmfanova' (Repeated Measures Functional Analysis of Variance)
 The provided package implements the statistical tests for the functional
 repeated measures analysis problem (Kurylo and Smaga, 2023,
 <arXiv:2306.03883>). These procedures enable us to verify the overall
 hypothesis regarding equality, as well as hypotheses for pairwise
 comparisons (i.e., post hoc analysis) of mean functions corresponding to
 repeated experiments.

Package: r-cran-rmidas
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 514
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-mltools, r-cran-reticulate, r-cran-rappdirs, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmidas_1.0.0-1.ca2004.1_all.deb
Size: 166456
MD5sum: 90d553ddb195bf660fd468402420c301
SHA1: 7d1ecb4af8a72339d01aa41892298b3a452eddd3
SHA256: 895c6b2878f30c7b3088cc5eccfa4493e487e15208a3fb61d8b00170128210ca
SHA512: 5bdc8248db0d390618966794cb8961a78a2d2bde9dc4b52e83cc84a857cf773b2fd417b26665024191e63baa1b13805b9a0c89178f1823c0f9079e2af4d11d4f
Homepage: https://cran.r-project.org/package=rMIDAS
Description: CRAN Package 'rMIDAS' (Multiple Imputation with Denoising Autoencoders)
 A tool for multiply imputing missing data using 'MIDAS', a deep learning
 method based on denoising autoencoder neural networks (see Lall and
 Robinson, 2022; <doi:10.1017/pan.2020.49>). This algorithm offers
 significant accuracy and efficiency advantages over other multiple
 imputation strategies, particularly when applied to large datasets with
 complex features. Alongside interfacing with 'Python' to run the core
 algorithm, this package contains functions for processing data before and
 after model training, running imputation model diagnostics, generating
 multiple completed datasets, and estimating regression models on these
 datasets. For more information see Lall and Robinson (2023)
 <doi:10.18637/jss.v107.i09>.

Package: r-cran-rminer
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1048
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plotrix, r-cran-lattice, r-cran-nnet, r-cran-kknn, r-cran-pls, r-cran-mass, r-cran-mda, r-cran-rpart, r-cran-randomforest, r-cran-adabag, r-cran-party, r-cran-cubist, r-cran-kernlab, r-cran-e1071, r-cran-glmnet, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-rminer_1.4.9-1.ca2004.1_all.deb
Size: 926520
MD5sum: 303abcbf7a497c1819d3a4122a6a9882
SHA1: 0d5f14e2e0971acfde64c2aad96b8b948fabb193
SHA256: 39b9510ef2c45b3d771cdaab43e57e7aefbdc53e63f4ee13c0c071b94e52b60e
SHA512: 9e674641dbe3684570d861b21ba027923f7673e99c3d0f624e4edc321270dbc7c26f56f5d08497a3e7a0c8fad6134850f8c7ba2e6360b7c49ad3cf7b8527a6e4
Homepage: https://cran.r-project.org/package=rminer
Description: CRAN Package 'rminer' (Data Mining Classification and Regression Methods)
 Facilitates the use of data mining algorithms in classification and
 regression (including time series forecasting) tasks by presenting a short
 and coherent set of functions. Versions: 1.4.9 / 1.4.8 improved help,
 several warning and error code fixes (more stable version, all examples run
 correctly); 1.4.7 - improved Importance function and examples, minor error
 fixes; 1.4.6 / 1.4.5 / 1.4.4 new automated machine learning (AutoML) and
 ensembles, via improved fit(), mining() and mparheuristic() functions, and
 new categorical preprocessing, via improved delevels() function; 1.4.3 new
 metrics (e.g., macro precision, explained variance), new "lssvm" model and
 improved mparheuristic() function; 1.4.2 new "NMAE" metric, "xgboost" and
 "cv.glmnet" models (16 classification and 18 regression models); 1.4.1 new
 tutorial and more robust version; 1.4 - new classification and regression
 models, with a total of 14 classification and 15 regression methods,
 including: Decision Trees, Neural Networks, Support Vector Machines, Random
 Forests, Bagging and Boosting; 1.3 and 1.3.1 - new classification and
 regression metrics; 1.2 - new input importance methods via improved
 Importance() function; 1.0 - first version.

Package: r-cran-rmio
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigassertr, r-cran-ff
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmio_0.4.0-1.ca2004.1_all.deb
Size: 21848
MD5sum: 43e80b3808f44caf093ece87a5b825f8
SHA1: 3a4714781774c7a4b52b82078fc0950e76887025
SHA256: 7b3c1c8b4733c691c583a6d9800418182dc2aa65c6491bb8cca584d0678d3da5
SHA512: 9256bf43601c6659f3dc0b0b84ea222b85a6b66d80af002a07a0329784e2380ff5591187b98bf365d90c236d914d7fa667bbfb655347350bbb7e3c5f29a2d911
Homepage: https://cran.r-project.org/package=rmio
Description: CRAN Package 'rmio' (Provides 'mio' C++11 Header Files)
 Provides header files of 'mio', a cross-platform C++11 header-only library
 for memory mapped file IO <https://github.com/mandreyel/mio>.

Package: r-cran-rmisbeta
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-roc
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-rmisbeta_1.0-1.ca2004.1_all.deb
Size: 41908
MD5sum: b5b1b0cf90eb9a9673a1db76a44b406f
SHA1: 3caeef9f3a2eef54b66f1887280743f0a77db104
SHA256: 34d33dd51ee4ace8c9f33e52bddc5f53358d13ac42d9f69da66d4761de698edd
SHA512: 54a6b32fe3f0007d02293a2f26594b2a280a188709c3416b22d9980cf1b06d61078a58b61f65cb686b98e0531896027911067708e6ba9e43336568b9469fecbe
Homepage: https://cran.r-project.org/package=rMisbeta
Description: CRAN Package 'rMisbeta' (A Robust Missing Imputation Method for Gene Expression Data)
 It was developed especially for gene expression and metabolomics data
 analysis when the datasets are corrupted by outliers and missing values. The
 beta-divergence method was used to impute the missing values and modify the
 outliers.

Package: r-cran-rmisc
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-plyr
Suggests: r-cran-latticeextra, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-rmisc_1.5.1-1.ca2004.1_all.deb
Size: 49736
MD5sum: 44d2c40ad89282305bcdc963385f6590
SHA1: 78c9a7cd7a07ff0da34cf5fbd1c739c5389d65af
SHA256: e49590f9acf9dd01c4e53ab85cb7ad8e6b6d5bbb4bf4dde5b94bbe14e5d90f66
SHA512: 49d4c71c125be1944ea95a2a0ca4f01f0e00658cb50bab1146b9d022e46f783b5dc095d9185cf2a4615e6b3ce84bdba6ce0982cf1eb5228e8454edc74df63cee
Homepage: https://cran.r-project.org/package=Rmisc
Description: CRAN Package 'Rmisc' (Ryan Miscellaneous)
 Contains many functions useful for data analysis and utility operations.

Package: r-cran-rmixmodcombi
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmixmod, r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-rmixmodcombi_1.0-1.ca2004.1_all.deb
Size: 457052
MD5sum: a6c48799e934752b481e92f0c299507f
SHA1: 4dbdb34172d5ddb14788855a55b25480161affe3
SHA256: 295fd45c37101c4fcf3a31c502795a5769c5247b3b8e92e84e47a82fc2d71fc5
SHA512: 85fb5358fcee8d4a49678964e823b50804e7ec59c4914ca64e417cc2ab31da5173ea20a74ea48642dbacc848a67f9c0726d694a701f172214bdf769151021f78
Homepage: https://cran.r-project.org/package=RmixmodCombi
Description: CRAN Package 'RmixmodCombi' (Combining Mixture Components for Clustering)
 The Rmixmod package provides model-based clustering by fitting a mixture
 model (e.g. Gaussian components for quantitative continuous data) to the
 data and identifying each cluster with one of its components. The number of
 components can be determined from the data, typically using the BIC
 criterion. In practice, however, individual clusters can be poorly fitted by
 Gaussian distributions, and in that case model-based clustering tends to
 represent one non-Gaussian cluster by a mixture of two or more Gaussian
 components. If the number of mixture components is interpreted as the number
 of clusters, this can lead to overestimation of the number of clusters. This
 is because BIC selects the number of mixture components needed to provide a
 good approximation to the density. This package, RmixmodCombi, according to
 \emph{Combining Mixture Components for Clustering} by J.P. Baudry, A.E.
 Raftery, G. Celeux, K. Lo, R. Gottardo, combines the components of the
 EM/BIC solution (provided by Rmixmod) hierarchically according to an entropy
 criterion. This yields a clustering for each number of clusters less than or
 equal to K. These clusterings can be compared on substantive grounds, and we
 also provide a way of selecting the number of clusters via a piecewise
 linear regression fit to the (possibly rescaled) entropy plot.

Package: r-cran-rmixpanel
Architecture: all
Version: 0.7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-uuid, r-cran-rcurl, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-rmixpanel_0.7-1-1.ca2004.1_all.deb
Size: 101384
MD5sum: 50cb9e4ad5e395abd70bf2f751b1ad41
SHA1: 1d284f66a6a0d67a34b97f8e9af2afc5dcab6c87
SHA256: 8faffc05a7261e37ad8e719ee5b424ff9af26d2a332ed7c5cf6efccc48a9ebce
SHA512: ef79b6b8174db50f5acba3a3bccd626238586aea6f11d7e91c9969eef02a606593e7217a2c3cf0aab322d26ab8e77991a4cfe0c0f4dd2046338c519e4f94e2c6
Homepage: https://cran.r-project.org/package=RMixpanel
Description: CRAN Package 'RMixpanel' (API for Mixpanel)
 Provides an interface to many endpoints of Mixpanel's Data Export, Engage
 and JQL API. The R functions allow for event and profile data export as well
 as for segmentation, retention, funnel and addiction analysis. Results are
 always parsed into convenient R objects. Furthermore it is possible to load
 and update profiles.

Package: r-cran-rmixtcomp
Architecture: all
Version: 4.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1401
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rmixtcomputilities, r-cran-rmixtcompio, r-cran-ggplot2, r-cran-plotly, r-cran-scales
Suggests: r-cran-testthat, r-cran-xml2, r-cran-rmixmod, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmixtcomp_4.1.5-1.ca2004.1_all.deb
Size: 1213720
MD5sum: cfb0a66afc92446b714cb45a30414ba0
SHA1: 0cf34e88ea19d5c9b331007c30b8d0e83cde3e5d
SHA256: 57fb60b21d7cf492b6cacfef6aa90631ad27ab22b513e4b7baa84c0aa9ff0009
SHA512: f29300df9c0eb348e8453300ff956d81ec8a7279442b44f7ed34e04c8b1d1482d2f5b5e2120ef897879acd1204a6beaec094fb037ecabb1050195f03d76f0642
Homepage: https://cran.r-project.org/package=RMixtComp
Description: CRAN Package 'RMixtComp' (Mixture Models with Heterogeneous and (Partially) Missing Data)
 Mixture Composer (Biernacki (2015)
 <https://inria.hal.science/hal-01253393v1>) is a project to perform
 clustering using mixture models with heterogeneous data and partially
 missing data. Mixture models are fitted using a SEM algorithm.  It includes
 8 models for real, categorical, counting, functional and ranking data.

Package: r-cran-rmixtcomputilities
Architecture: all
Version: 4.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotly, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-testthat, r-cran-xml2, r-cran-rmixtcompio, r-cran-rmixmod
Filename: pool/dists/focal/main/r-cran-rmixtcomputilities_4.1.6-1.ca2004.1_all.deb
Size: 218592
MD5sum: 038696a76b204598399ece3d80cff26c
SHA1: aea1044edebc9f68cf9e1024989583087bad49ed
SHA256: e7c0a7c51f80a72ee928e687c6889ae8f4378195704a74a1f2c650b11c689d6e
SHA512: 0909c2e3f3302026fea407cdecfc3749709e8addb0f13d56aa764443b73cc7f3fc2c972d8197826211cf7415c10d99bdfe7e4e7d8478220140d89856776eeb7b
Homepage: https://cran.r-project.org/package=RMixtCompUtilities
Description: CRAN Package 'RMixtCompUtilities' (Utility Functions for 'MixtComp' Outputs)
 Mixture Composer <https://github.com/modal-inria/MixtComp> is a project to
 build mixture models with heterogeneous data sets and partially missing data
 management. This package contains graphical, getter and some utility
 functions to facilitate the analysis of 'MixtComp' output.

Package: r-cran-rmlnomogram
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-broom, r-cran-ggplot2, r-cran-ggpubr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-caret, r-cran-randomforest, r-cran-iml, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmlnomogram_0.1.2-1.ca2004.1_all.deb
Size: 1448212
MD5sum: d8fa76d7a3702ae90b34965069ed166d
SHA1: c406babd30dfcda4543a290bfecbe1be790fabbe
SHA256: dd9e3a75f10f788668fa722eca962e9f46a65bfea982cbbfea991fbee4e992e4
SHA512: 8a3defefd381ebdfd12579a8e2b87a0d447cfaa5a239ef145a33f0846aa968eb6518f873ecd22267c636cfc7da5de113184801d144b8558718d6956c1fda22cf
Homepage: https://cran.r-project.org/package=rmlnomogram
Description: CRAN Package 'rmlnomogram' (Construct Explainable Nomogram for a Machine Learning Model)
 Construct an explainable nomogram for a machine learning (ML) model to
 improve availability of an ML prediction model in addition to a computer
 application, particularly in a situation where a computer, a mobile phone,
 an internet connection, or the application accessibility are unreliable.
 This package enables a nomogram creation for any ML prediction models, which
 is conventionally limited to only a linear/logistic regression model. This
 nomogram may indicate the explainability value per feature, e.g., the
 Shapley additive explanation value, for each individual. However, this
 package only allows a nomogram creation for a model using categorical
 without or with single numerical predictors. Detailed methodologies and
 examples are documented in our vignette, available at
 <https://htmlpreview.github.io/?https://github.com/herdiantrisufriyana/rmlnomogram/blob/master/doc/ml_nomogram_exemplar.html>.

Package: r-cran-rmlpca
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-pracma, r-cran-rspectra
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmlpca_0.0.1-1.ca2004.1_all.deb
Size: 556664
MD5sum: f7dc071e413e11056acd67b5670c2314
SHA1: e0047a3d7abe6b0d181924fd59df4f94cb21ee2c
SHA256: abc768354e60195a449fac5429b7d4fd62f6c607ac3748923d2f14e02c9e73d0
SHA512: 1d9b6200a90de24f5ec7223de3784775def75867ba4ab9f657bec19355399d5b5ebd810e20127d44cb3a05c56124300b91d68e1816be2571efa6c6ff33610d30
Homepage: https://cran.r-project.org/package=RMLPCA
Description: CRAN Package 'RMLPCA' (Maximum Likelihood Principal Component Analysis)
 R implementation of Maximum Likelihood Principal Component Analysis The main
 idea of this package is to have an alternative way of PCA for subspace
 modeling that considers measurement errors.  More details can be found in
 Peter D. Wentzell (2009) <doi:10.1016/B978-0-444-64165-6.03029-9>.

Package: r-cran-rmoa
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rmoajars, r-cran-rjava
Suggests: r-cran-ff, r-cran-recommenderlab
Filename: pool/dists/focal/main/r-cran-rmoa_1.1.0-1.ca2004.1_all.deb
Size: 479148
MD5sum: 2f38bb9b5ca31aa74916dcb438789555
SHA1: f8eef07fc23d08d53f9a87f6053f1238b470b363
SHA256: 1989dd113f038b89ef914de290866ecd446f86b650b49c5d6f961abbd8a31c9a
SHA512: 553ddb459eb36fe97bbb8d9cbda2bc539923f45c7dd0d08100cf7846811b36c997b6e9fdb86315ff0ef05dbb7b79469891503b2150e58a660863594ef45a9442
Homepage: https://cran.r-project.org/package=RMOA
Description: CRAN Package 'RMOA' (Connect R with MOA for Massive Online Analysis)
 Connect R with MOA (Massive Online Analysis -
 <https://moa.cms.waikato.ac.nz/>) to build classification models and
 regression models on streaming data or out-of-RAM data.  Also streaming
 recommendation models are made available.

Package: r-cran-rmoajars
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1928
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rmoajars_1.2.0-1.ca2004.1_all.deb
Size: 1796560
MD5sum: e4405794f729015c63f3b097bcfa478c
SHA1: 878cac4b98213309e64feef6fce6ed28a02325b6
SHA256: 67207136f13d95320afd1ecbb823581f9181994fabb806e1058b2bd12c198fe4
SHA512: b1544d16cc248e60b265519d6dcfd3176a35044e96974c5d2b0b4485d5b91a70ae5490a00ceaf4592e5803ee305a7b0b8f0aeca98f46b1606ff85a75592cd51f
Homepage: https://cran.r-project.org/package=RMOAjars
Description: CRAN Package 'RMOAjars' (External jars Required for Package RMOA)
 External jars required for package RMOA. RMOA is a framework to build data
 stream models on top of MOA (Massive Online Analysis -
 <https://moa.cms.waikato.ac.nz/>). The jar files are put in this R package,
 the modelling logic can be found in the RMOA package.

Package: r-cran-rmoji
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1774
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rmoji_0.1.0-1.ca2004.1_all.deb
Size: 1637864
MD5sum: 98e77dc11a2e2e2f3dff9c984a679acb
SHA1: 55413032c4453ade753fe2d989cba1461d149581
SHA256: 51a9d6fd0fb9590d2b76d618f80791daed203fa8e2e4c8dd2160c40528a0c0c9
SHA512: 39324614940b0aae34946ad3cbfc090f98271d8e9c005397b3cc2cde0e419a4c48d0685b85eb4d1a7d70ffd2444fcd95a5d16d631651b061f562ebb46af86a41
Homepage: https://cran.r-project.org/package=Rmoji
Description: CRAN Package 'Rmoji' (Interactively Insert Emojis in 'R' Documents)
 Provides an intuitive and user-friendly interface for working with emojis in
 'R'. It allows users to search, insert, and manage emojis by keyword,
 category, or through an interactive 'shiny'-based drop-down. The package
 enables integration of emojis into 'R' scripts, 'R Markdown', 'Quarto',
 'shiny' apps, and 'ggplot2' plots. Also includes built-in mappings for
 commit messages, useful for version control. It builds on established emoji
 libraries and Unicode standards, adding expressiveness and visual cues to
 documentation, user interfaces, and reports. For more details see
 'Emojipedia' (2024) <https://emojipedia.org> and GitHub Emoji Cheat Sheet
 <https://github.com/ikatyang/emoji-cheat-sheet/tree/master>.

Package: r-cran-rmolt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmolt_1.0.0-1.ca2004.1_all.deb
Size: 54904
MD5sum: 50b95072373c782ed753bb18b63cbb67
SHA1: b75af06d60cc65c3f179f9b45691361fe465608a
SHA256: aa2f6ccc9d113c9a4e49e1126dc20cf6a1907cada0255bbbcdd9a400cb53b32d
SHA512: 5f50ea780d99bb30e8b7061710216f35f40e98d8bc9493a9c56e1b18b75f39f21afefa3571f22d26632e36515de9685a97dcd6010efce46a337526e61f0c5192
Homepage: https://cran.r-project.org/package=Rmolt
Description: CRAN Package 'Rmolt' (Graphic Visualization of the Birds' Molt)
 Graphical visualization of the birds' molt to facilitate the creation of
 molting graph for passerines having 9 (Rmolt(data,9)) or 10 primaries
 (Rmolt(data,10)), and also only for the 10 first primaries
 (Rmolt(data,"10_0")).

Package: r-cran-rmon
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-processx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmon_1.1.0-1.ca2004.1_all.deb
Size: 19176
MD5sum: aeedb0a97faf108da22a4c2dad17757c
SHA1: 38a1386de5af302accb22c4719e16a09eb9b9a0c
SHA256: cd60a7d6264724a2c356ce1e87d93824eb08a9ba5ec5a052a06e55553a06996c
SHA512: dd2f49fc00cecc5db12fcd1ae61e6f9d813b703cf1f05b162141d148b1609a7d8beb269e7a5d2f59773b234ca036336b75687f506fab9e4e1a62add4ca1b4934
Homepage: https://cran.r-project.org/package=rmon
Description: CRAN Package 'rmon' (Monitor Changes in Source Code and Auto-Restart Your Server)
 The 'R' equivalent of 'nodemon'. Watches specified directories for file
 changes and reruns a designated 'R' script when changes are detected. It's
 designed to automate the process of reloading your 'R' applications during
 development, similar to 'nodemon' for 'Node.js'.

Package: r-cran-rmonad
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-magrittr, r-cran-glue, r-cran-pryr, r-cran-digest
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-nozzle.r1
Filename: pool/dists/focal/main/r-cran-rmonad_0.7.0-1.ca2004.1_all.deb
Size: 626556
MD5sum: a2be4fc2a5bcdec9007d92009d99c66f
SHA1: 8d6290017be4dea27c5a61eff7b1a598ac0115ad
SHA256: 5978d1452bba340178f865f152dc4e29ff9f207d959b993909ce85ef96d41dc8
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Homepage: https://cran.r-project.org/package=rmonad
Description: CRAN Package 'rmonad' (A Monadic Pipeline System)
 A monadic solution to pipeline analysis. All operations -- and the errors,
 warnings and messages they emit -- are merged into a directed graph. Infix
 binary operators mediate when values are stored, how exceptions are handled,
 and where pipelines branch and merge. The resulting structure may be queried
 for debugging or report generation. 'rmonad' complements, rather than
 competes with, non-monadic pipeline packages like 'magrittr' or 'pipeR'.
 This work is funded by the NSF (award number 1546858).

Package: r-cran-rmonize
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-crayon, r-cran-haven, r-cran-fs, r-cran-fabr, r-cran-madshapr
Suggests: r-cran-janitor, r-cran-car, r-cran-lubridate, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rmonize_2.0.0-1.ca2004.1_all.deb
Size: 1632728
MD5sum: 09c6b08e2378c89f673f5ab8f360d171
SHA1: a85adb535734bedf21dc87cde1c7e3882b654df1
SHA256: f02b164a079445bbf040891e577634ae62724c5212512dca007322c6c2844149
SHA512: 79e2951d877118131f87e7de7dcc9bea53c4b15dccfafe036e47e3a4706522f8b4f4da5e0acc024bcd64053614d2c0febcd4db831a309b25f7be11d885eed4f3
Homepage: https://cran.r-project.org/package=Rmonize
Description: CRAN Package 'Rmonize' (Tools for Data Harmonization)
 Integrated tools to support rigorous and well documented data harmonization
 based on Maelstrom Research guidelines. The package includes functions to
 assess and prepare input elements, apply specified processing rules to
 generate harmonized datasets, validate data processing and identify
 processing errors, and document and summarize harmonized outputs. The
 harmonization process is defined and structured by two key user-generated
 documents: the DataSchema (specifying the list of harmonized variables to
 generate across datasets) and the Data Processing Elements (specifying the
 input elements and processing algorithms to generate harmonized variables in
 DataSchema formats). The package was developed to address key challenges of
 retrospective data harmonization in epidemiology (as described in Fortier I
 and al. (2017) <doi:10.1093/ije/dyw075>) but can be used for any data
 harmonization initiative.

Package: r-cran-rmoo
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ga, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-testthat, r-cran-covr, r-cran-rgl, r-cran-ecr, r-cran-emoa, r-cran-cdata, r-cran-dplyr, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-rmoo_0.2.0-1.ca2004.1_all.deb
Size: 508260
MD5sum: ebdd1fb1dbbf8be7f9fc29e4e22653cd
SHA1: 22353702fafb4dfa4c54bb819a15c86235a137b9
SHA256: 20d8fe48830c00e48a40e41616ff55cc7f810697ad29d57891de74a93e2e443b
SHA512: f928fcb7458486e6fc7953470293a68947ebb3c579549364c276e6056d4cfefb63510928d11b5051fa5daa57b27514f7b04d57aaa58ba4ed620ea7bd46ec1c07
Homepage: https://cran.r-project.org/package=rmoo
Description: CRAN Package 'rmoo' (Multi-Objective Optimization in R)
 The 'rmoo' package is a framework for multi- and many-objective
 optimization, which allows researchers and users versatility in parameter
 configuration, as well as tools for analysis, replication and visualization
 of results. The 'rmoo' package was built as a fork of the 'GA' package by
 Luca Scrucca(2017) <DOI:10.32614/RJ-2017-008> and implementing the
 Non-Dominated Sorting Genetic Algorithms proposed by K. Deb's.

Package: r-cran-rmopi
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-tibble, r-cran-lubridate, r-cran-timeseries, r-cran-xts, r-cran-mass, r-cran-performanceanalytics, r-cran-ttr, r-cran-fportfolio, r-cran-rugarch, r-cran-timedate
Filename: pool/dists/focal/main/r-cran-rmopi_1.1-1.ca2004.1_all.deb
Size: 94132
MD5sum: ebeb68176b797221f90f88ee19f65d91
SHA1: 65e7b0f6b461f4b243977fc39af7f91cbc5248db
SHA256: 9941590a94e19d1e4ec93e789ef5e5dc5b17f823c6163a30267e1e43349912eb
SHA512: 687c52eea7fb2196ce2282dc02603229f94befdc55b8284127d76b44850c56f3b4bdb4179df5ea21a16c22c752a7be9bfc7970fd449ae4cd884e2ff0960eb208
Homepage: https://cran.r-project.org/package=RMOPI
Description: CRAN Package 'RMOPI' (Risk Management and Optimization for Portfolio Investment)
 Provides functions for risk management and portfolio investment of
 securities with practical tools for data processing and plotting. Moreover,
 it contains functions which perform the COS Method, an option pricing method
 based on the Fourier-cosine series (Fang, F. (2008)
 <doi:10.1137/080718061>).

Package: r-cran-rmosek
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-pkgbuild
Filename: pool/dists/focal/main/r-cran-rmosek_1.3.5-1.ca2004.1_all.deb
Size: 34164
MD5sum: 7d7880a8ac3e94886e707176743b4896
SHA1: df0f61dc0e00af3a93ee79d04424d7c813fa18f0
SHA256: 8954f404f1b3236fcde47b4ccd7ff852b95e13810d3ca0cb2136f9378919cce5
SHA512: e0995b042795296f9dbff37f8d60d7bc13f828e81abd811ccf23887029dace02bb78d522471a6cc9ae64db9906ed71cf001835e7d6fee0606a1eabe7a46fb9c5
Homepage: https://cran.r-project.org/package=Rmosek
Description: CRAN Package 'Rmosek' (The R to MOSEK Optimization Interface)
 This is a meta-package designed to support the installation of Rmosek (>=
 6.0) and bring the optimization facilities of MOSEK (>= 6.0) to the
 R-language. The interface supports large-scale optimization of many kinds:
 Mixed-integer and continuous linear, second-order cone, exponential cone and
 power cone optimization, as well as continuous semidefinite optimization.
 Rmosek and the R-language are open-source projects. MOSEK is a proprietary
 product, but unrestricted trial and academic licenses are available.

Package: r-cran-rmost
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nloptr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmost_1.0.1-1.ca2004.1_all.deb
Size: 180208
MD5sum: df0173f833e68cd80bba52615a277ab5
SHA1: 93ae070d726835b6a469a2e5e5a87061d35271f7
SHA256: bbcbfda7ee3fd682787bdb4547f7eb929c99f156f6dbb3815ba87ff5b47d1a53
SHA512: e525941c476bd3ab910414fe1752fbb72d39d3d2f8885247795eb1199488350ba068aa0111218ceba265033c4b4fc013cafd305f49cef34d1dbfde374b8a96ee
Homepage: https://cran.r-project.org/package=rMOST
Description: CRAN Package 'rMOST' (Estimates Pareto-Optimal Solution for Hiring with 3 Objectives)
 Estimates Pareto-optimal solution for personnel selection with 3 objectives
 using Normal Boundary Intersection (NBI) algorithm introduced by Das and
 Dennis (1998) <doi:10.1137/S1052623496307510>.  Takes predictor
 intercorrelations and predictor-objective relations as input and generates a
 series of solutions containing predictor weights as output. Accepts between
 3 and 10 selection predictors. Maximum 2 objectives could be adverse impact
 objectives. Partially modeled after De Corte (2006) TROFSS Fortran program
 <https://users.ugent.be/~wdecorte/trofss.pdf> and updated from 'ParetoR'
 package described in Song et al. (2017) <doi:10.1037/apl0000240>. For
 details, see Study 3 of Zhang et al. (2023).

Package: r-cran-rmpw
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gtools, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rmpw_0.0.5-1.ca2004.1_all.deb
Size: 96612
MD5sum: 76e783c74f9a94e91c4e023be507b4cb
SHA1: 5986e84c0d59764d350dbf3c7cc0ba27ed64c861
SHA256: f4814a3ad1e0cd20c6acc20befa0b3d63383f22519de2503cef49ebf59465fc0
SHA512: 68ca08fa0e70470d36e253427b705df6b1a18b6fadaa531f95dbe589380ef8553d6585e0c8b60f42cc6ba5f975da9a1437729b1aa980501f55d731c71f39f517
Homepage: https://cran.r-project.org/package=rmpw
Description: CRAN Package 'rmpw' (Causal Mediation Analysis Using Weighting Approach)
 We implement causal mediation analysis using the methods proposed by Hong
 (2010) and Hong, Deutsch & Hill (2015) <doi:10.3102/1076998615583902>. It
 allows the estimation and hypothesis testing of causal mediation effects
 through ratio of mediator probability weights (RMPW). This strategy
 conveniently relaxes the assumption of no treatment-by-mediator interaction
 while greatly simplifying the outcome model specification without invoking
 strong distributional assumptions. We also implement a sensitivity analysis
 by extending the RMPW method to assess potential bias in the presence of
 omitted pretreatment or posttreatment covariates. The sensitivity analysis
 strategy was proposed by Hong, Qin, and Yang (2018)
 <doi:10.3102/1076998617749561>.

Package: r-cran-rmr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biglm
Filename: pool/dists/focal/main/r-cran-rmr_1.1.0-1.ca2004.1_all.deb
Size: 272396
MD5sum: 5ec5da3730df364611748e4237874cdc
SHA1: 6268b8dc7f6e8a3d98c8c8ce7060b494150b8dff
SHA256: cc7f3c8d842b3eba759c0f27c98ff227926ac4b8e0ef39cc03a85563555f4792
SHA512: f587858e523df27ff5fd0cba6c6f131be2416f2b75d01bc7076a813e33e6d33ff3b46a1ea11fb0720f0caaf2c5bca0170f700dcc71af8cedc88028b3f944d5e0
Homepage: https://cran.r-project.org/package=rMR
Description: CRAN Package 'rMR' (Importing Data from Loligo Systems Software, CalculatingMetabolic Rates and Critical Tensions)
 Analysis of oxygen consumption data generated by Loligo (R) Systems
 respirometry equipment. The package includes a function for loading data
 output by Loligo's 'AutoResp' software (get.witrox.data()), functions for
 calculating metabolic rates over user-specified time intervals, extracting
 critical points from data using broken stick regressions based on Yeager and
 Ultsch (<DOI:10.1086/physzool.62.4.30157935>), and easy functions for
 converting between different units of barometric pressure.

Package: r-cran-rms.gof
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rms.gof_1.0-1.ca2004.1_all.deb
Size: 15180
MD5sum: bf1dc870827479b5d4533adad68f99eb
SHA1: 2a95c421234113625280a6b2088e862e3bb3c628
SHA256: 826366310c4c102bba4915db475ffad05708e4830519600f108a78cabdddc143
SHA512: e2fe06dbcb4314d6d1b8e5e216d66c17bf7a33df1b67cd06e3cbd4a56c4ee3f5de8f8a5e371e7b1aee89affc2d645b1d8f00dc26b708f7d9845012fcb404d4db
Homepage: https://cran.r-project.org/package=rms.gof
Description: CRAN Package 'rms.gof' (Root-mean-square goodness-of-fit test for simple null hypothesis)
 This package can be used to test any simple null hypothesis using the
 root-mean-square goodness of fit test.  Monte Carlo estimation is used to
 calculate the associated P-value.

Package: r-cran-rmsd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmsd_0.1.0-1.ca2004.1_all.deb
Size: 16804
MD5sum: 2c0a87c438da0d0c33c3f2d6dafa1986
SHA1: 04b45b725a30d678f27a3e40a42deb952495a93f
SHA256: fa0fc91797095ddba8743ef3f94239764c59afb9c5ecb8211515590d19fc0e76
SHA512: eca5c959336f1014fdab668ee60611b15d96381d3da3054e02943530b6876ee90b3e3c447eda883ef220c1f84ebf6a2f2f411d8ef54649e828f9366b32fe126a
Homepage: https://cran.r-project.org/package=RMSD
Description: CRAN Package 'RMSD' (Refined Modified Stahel-Donoho Estimators for Outlier Detection)
 A function for multivariate outlier detection named Modified Stahel-Donoho
 (MSD) estimators is contained.  The function is for elliptically distributed
 datasets and recognizes outliers based on Mahalanobis distance.  The
 function is called the single core version in Wada & Tsubaki (2013)
 <doi:10.1109/CLOUDCOM-ASIA.2013.86> and evaluated with other methods in
 Wada, Kawano & Tsubaki (2020) <doi:10.17713/ajs.v49i2.872>.

Package: r-cran-rmsdp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmsdp_0.1.1-1.ca2004.1_all.deb
Size: 26904
MD5sum: c6369a50df4baeb86f536f44c59725eb
SHA1: e3c917396fc9dd282be35ced3533f1947397a3cf
SHA256: 0588a42e9d8cf20bf959350931c7ac3178798e96aef8724779e8714a0a483739
SHA512: 0b10273a8bf63f6bab7441b3e9363037df6551ab17c81d4782a760b7735bf4c46dac57687bb0047c620e6542371fb70ed4346856901309c9cc89685691d27e46
Homepage: https://cran.r-project.org/package=RMSDp
Description: CRAN Package 'RMSDp' (Refined Modified Stahel-Donoho (MSD) Estimators for OutlierDetection (Parallel Version))
 A parallel function for multivariate outlier detection named modified
 Stahel-Donoho estimators is contained in this package.  The function RMSDp()
 is for elliptically distributed datasets and recognizes outliers based on
 Mahalanobis distance. This function is for higher dimensional datasets that
 cannot be handled by a single core function RMSD() included in 'RMSD'
 package.  See Wada and Tsubaki (2013) <doi:10.1109/CLOUDCOM-ASIA.2013.86>
 for the detail of the algorithm.

Package: r-cran-rmsfact
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rmsfact_0.0.3-1.ca2004.1_all.deb
Size: 19232
MD5sum: a9da00799bb4aa7d28bef75950b5247c
SHA1: 4be3c359701b99164a5ee4ac777c8c9305125dec
SHA256: 1ccbd52d6e98eccfa35997f03f641e8e9b3e2d0b6682c82a4c1eab6124af6fa4
SHA512: c837d6b2ad695567ef32612de4fc7d2916724c3e4aa229c1de3157f819bfb13e19fc3981d398121ef2b31c036f0c3feafc2a3b2a8e9cd6d1dabb36864767de8b
Homepage: https://cran.r-project.org/package=rmsfact
Description: CRAN Package 'rmsfact' (Amazing Random Facts About the World's Greatest Hacker)
 Display a randomly selected quote about Richard M. Stallman based on the
 collection in the 'GNU Octave' function 'fact()' which was aggregated by
 Jordi Gutiérrez Hermoso based on the (now defunct) site stallmanfacts.com
 (which is accessible only via <http://archive.org>).

Package: r-cran-rmsmd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 778
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rms, r-cran-ggplot2, r-cran-rlang, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-officer, r-cran-flextable, r-cran-dplyr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rmsmd_1.0.0-1.ca2004.1_all.deb
Size: 390284
MD5sum: d09b044e8bc2e952af199e49af0cabd1
SHA1: e6b2cd88eebf7f88483859bbd0ee4cfc975b9b37
SHA256: bd9be664d239076cedba4cb3ec45d52636beac2fccf4556baac66c585dbf36a6
SHA512: 963a708221e37897b4039688ec1e48fa266ca9544d24af87089fc40eaef65094bd2db3851892ea8a35f558eba8fd6a10cea2879c74002c560ee6ce078abb244b
Homepage: https://cran.r-project.org/package=rmsMD
Description: CRAN Package 'rmsMD' (Output Results from 'rms' Models for Medical Journals)
 Provides streamlined functions for summarising and visualising regression
 models fitted with the 'rms' package, in the preferred format for medical
 journals.  The 'modelsummary_rms()' function produces concise summaries for
 linear, logistic, and Cox regression models, including automatic handling of
 models containing restricted cubic spline (RCS) terms. The resulting summary
 dataframe can be easily converted into publication-ready documents using the
 'flextable' and 'officer' packages. The 'ggrmsMD()' function creates clear
 and customizable plots ('ggplot2' objects) to visualise RCS terms.

Package: r-cran-rmst
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rata, r-cran-reshape2, r-cran-rirt
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmst_0.0.3-1.ca2004.1_all.deb
Size: 61356
MD5sum: a5c07261645be81465cdc6e9b6492e23
SHA1: d642b7e7a12f9c2d55c022c492c8914a86153c8b
SHA256: 906b654b6fb71b9002581579b516fb2cc86133062c2644dbab66960cc0dccd2f
SHA512: c1664974659c729be485db05ff2322722d68241355c2facaf31a23e3bbcde092f4a1a3437cea249f944e9e52eadc794a19ea0f0437f44497005088e47d92c45e
Homepage: https://cran.r-project.org/package=Rmst
Description: CRAN Package 'Rmst' (Computerized Adaptive Multistage Testing)
 Assemble the panels of computerized adaptive multistage testing by the
 bottom-up and the top-down approach, and simulate the administration of the
 assembled panels. The full documentation and tutorials are at
 <https://github.com/xluo11/Rmst>.  Reference: Luo and Kim (2018)
 <doi:10.1111/jedm.12174>.

Package: r-cran-rmstbayespara
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-crayon, r-cran-loo, r-cran-rstan, r-cran-zipfr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmstbayespara_0.1.0-1.ca2004.1_all.deb
Size: 35324
MD5sum: e653c9c0bbee4384bf33718a6ccd7cc0
SHA1: 95bcfad0c38f2f7bee1e21dae4514e55b0754708
SHA256: 6ea3b53e924ec5dc8b84430bf3e9db9699e9704b0d46fb73846a26be66883290
SHA512: 38ac06a9f1efe7f5ea7f991a533a001e938452876ae25e88ae7b0a49a448d5cdc7e973d7483ab68e5774e3011188ac76db7f7f61d23216537b7abdcccc833965
Homepage: https://cran.r-project.org/package=rmstBayespara
Description: CRAN Package 'rmstBayespara' (Bayesian Restricted Mean Survival Time for Cluster Effect)
 The parametric Bayes analysis for the restricted mean survival time (RMST)
 with cluster effect, as described in Hanada and Kojima (2024)
 <doi:10.48550/arXiv.2406.06071>.  Bayes estimation with random-effect and
 frailty-effect can be applied to several parametric models useful in
 survival time analysis.  The RMST under these parametric models can be
 computed from the obtained posterior samples.

Package: r-cran-rmstcompsens
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rmstcompsens_0.1.5-1.ca2004.1_all.deb
Size: 36488
MD5sum: 478de04178ee614c4a6b849a7842f962
SHA1: bada8677a510cbe9539654bba9728be3e6da9f7b
SHA256: 05e3ed9e76e97cf506e330746a8cda890c8ba2c3253b747299427e30aac797cc
SHA512: 11f8198341aa02ac595aae5111a00e38dfe7fad0378cce213358dc63d5005766019c8b911e071f141956fefa4fa758fca00fe75bf137a52c368bca9f814f4a33
Homepage: https://cran.r-project.org/package=rmstcompsens
Description: CRAN Package 'rmstcompsens' (Comparing Restricted Mean Survival Time as Sensitivity Analysis)
 Performs two-sample comparisons using the restricted mean survival time
 (RMST) when survival curves end at different time points between groups.
 This package implements a sensitivity approach that allows the threshold
 timepoint tau to be specified after the longest survival time in the shorter
 survival group. Two kinds of between-group contrast estimators (the
 difference in RMST and the ratio of RMST) are computed: Uno et
 al(2014)<doi:10.1200/JCO.2014.55.2208>, Uno et
 al(2022)<https://CRAN.R-project.org/package=survRM2>, Ueno and
 Morita(2023)<doi:10.1007/s43441-022-00484-z>.

Package: r-cran-rmt4ds
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-rmtstat, r-cran-lpsolve, r-cran-mpoly, r-cran-nleqslv, r-cran-pracma, r-cran-rarpack, r-cran-rootsolve, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmt4ds_0.0.1-1.ca2004.1_all.deb
Size: 105904
MD5sum: 6e18acea3b02b49ee70b2b3555d3352f
SHA1: 1fc1a93af8a9702ae269d53dc34f2085be277b44
SHA256: c926ff5f54152398dde0d8f80ab1696cf61a0972baea13f36413e7fa49316c10
SHA512: ab6ec550e7f5f702809484ee5c4d5504fb3ca7e2a17171d936836c194786dfe319ae6085c4b4e41032ced1b43a45bd1ccb897b5d8400d24f0f21cb268a54a76b
Homepage: https://cran.r-project.org/package=RMT4DS
Description: CRAN Package 'RMT4DS' (Computation of Random Matrix Models)
 We generate random variables following general Marchenko-Pastur distribution
 and Tracy-Widom distribution. We compute limits and distributions of
 eigenvalues and generalized components of spiked covariance matrices. We
 give estimation of all population eigenvalues of spiked covariance matrix
 model. We give tests of population covariance matrix. We also perform matrix
 denoising for signal-plus-noise model.

Package: r-cran-rmt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmt_1.0-1.ca2004.1_all.deb
Size: 117416
MD5sum: 7a87a9d75a98cb55a7f86f8e8b0a1499
SHA1: 0cea100b7bc03f970eb731de0a886d2cdb03a1bf
SHA256: 58a84d3b69bfb99240e3c52a37f119e8990862b64bfb9d4019af18a93ef09019
SHA512: 244ca17280bfabc89130d7b5ef13da15bcfb07189cf0a7ad52c9bb9f1df8fabd83d7741846c7131308890f03c8339b6ad379c393b19e8b2693871e2680f6a86d
Homepage: https://cran.r-project.org/package=rmt
Description: CRAN Package 'rmt' (Restricted Mean Time in Favor of Treatment)
 Contains inferential and graphical routines for comparing two treatment arms
 in terms of the restricted mean time in favor of treatment.

Package: r-cran-rmthreshold
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 707
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-png
Filename: pool/dists/focal/main/r-cran-rmthreshold_1.1-1.ca2004.1_all.deb
Size: 645872
MD5sum: c71184f119ef9083110f2900ce51f5bd
SHA1: 38e708455d3664354cf1d2214aa9bbd196997648
SHA256: 00d8855a2046fb4ea8efd2f24feb5b1097305c094999a4443087458b5e21ecfa
SHA512: 70b20117b7820799fb1058d193a4128870e898934619d543aeaa74c31db0bc3887024a70ece47a63c52fda63e45ccdd7dd7393314bb861d9c51bb1648b49f335
Homepage: https://cran.r-project.org/package=RMThreshold
Description: CRAN Package 'RMThreshold' (Signal-Noise Separation in Random Matrices by using EigenvalueSpectrum Analysis)
 An algorithm which can be used to determine an objective threshold for
 signal-noise separation in large random matrices (correlation matrices,
 mutual information matrices, network adjacency matrices) is provided. The
 package makes use of the results of Random Matrix Theory (RMT). The
 algorithm increments a suppositional threshold monotonically, thereby
 recording the eigenvalue spacing distribution of the matrix. According to
 RMT, that distribution undergoes a characteristic change when the threshold
 properly separates signal from noise. By using the algorithm, the modular
 structure of a matrix - or of the corresponding network - can be unraveled.

Package: r-cran-rmtl
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-psych, r-cran-corpcor, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmtl_0.9.9-1.ca2004.1_all.deb
Size: 353540
MD5sum: 636e72d475f89682745afea1efa5c7dc
SHA1: cb660288e275592c8d27fe9268c34f458ec34a48
SHA256: 0ae6e0d42afe0851a2b923a3dad82a6248e0184476482812af4b09de32ecbd8c
SHA512: 4b1ed3165749de547cb0c589522f31a8416df2c5d5e28592c09446b03711e9dbf7d38d5ab29ca993320642533f798de5f184b8ff643ac25d98ecd9925609dbc1
Homepage: https://cran.r-project.org/package=RMTL
Description: CRAN Package 'RMTL' (Regularized Multi-Task Learning)
 Efficient solvers for 10 regularized multi-task learning algorithms
 applicable for regression, classification, joint feature selection, task
 clustering, low-rank learning, sparse learning and network incorporation.
 Based on the accelerated gradient descent method, the algorithms feature a
 state-of-art computational complexity O(1/k^2). Sparse model structure is
 induced by the solving the proximal operator. The detail of the package is
 described in the paper of Han Cao and Emanuel Schwarz (2018)
 <doi:10.1093/bioinformatics/bty831>.

Package: r-cran-rmtstat
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rmtstat_0.3.1-1.ca2004.1_all.deb
Size: 116932
MD5sum: dc0714d157fdfd43b657145772e88cfa
SHA1: d29294f48bbf4262e0dd059db131e98752ae387e
SHA256: a2b8a7fa7da8ce50c10c9f32a50074021e85ee3f2a1a835825670699782af70b
SHA512: d085be2d026c5fd6de53041330b99f5a02f29c3bf0fd6f1835da27ce3e18f65cdbe16ab9abdb42ab2fb0c74e6b886e6c32a9e02a8bf1cf6e782a299134c9d931
Homepage: https://cran.r-project.org/package=RMTstat
Description: CRAN Package 'RMTstat' (Distributions, Statistics and Tests Derived from Random MatrixTheory)
 Functions for working with the Tracy-Widom laws and other distributions
 related to the eigenvalues of large Wishart matrices.  The tables for
 computing the Tracy-Widom densities and distribution functions were computed
 by functions were computed by Momar Dieng's MATLAB package "RMLab". This
 package is part of a collaboration between Iain Johnstone, Zongming Ma,
 Patrick Perry, and Morteza Shahram.

Package: r-cran-rmultinet
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbscan, r-cran-geigen, r-cran-glmnet, r-cran-matrix, r-cran-plotly, r-cran-rtensor
Filename: pool/dists/focal/main/r-cran-rmultinet_0.1-1.ca2004.1_all.deb
Size: 62172
MD5sum: ccbb9c6a5a01e1dddfa05b28e6d5d8d1
SHA1: e9646b997eb7444b5d9162be4da2173014a7b6c1
SHA256: fbea99ddf074b574c79ef49fbd489759502aee7f14f0c2408f4d0f70d381a647
SHA512: dd5ea05555240368a602fe9e7914df3b40dc314e1d0e2b00d4ad1d8f884f3a57f9cdb0a653c083bc76084fa73a122941f22e8137298ae69722361d99db10ec7b
Homepage: https://cran.r-project.org/package=rMultiNet
Description: CRAN Package 'rMultiNet' (Multi-Layer Networks Analysis)
 Provides two general frameworks to generate a multi-layer network. This also
 provides several methods to reveal the embedding of both nodes and layers.
 The reference paper can be found from the URL mentioned below. Ting Li,
 Zhongyuan Lyu, Chenyu Ren, Dong Xia (2023) <arXiv:2302.04437>.

Package: r-cran-rmweather
Architecture: all
Version: 0.2.62-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-pdp, r-cran-purrr, r-cran-ranger, r-cran-stringr, r-cran-strucchange, r-cran-tibble, r-cran-viridis, r-cran-tidyr, r-cran-cli
Suggests: r-cran-testthat, r-cran-openair
Filename: pool/dists/focal/main/r-cran-rmweather_0.2.62-1.ca2004.1_all.deb
Size: 632196
MD5sum: 4835b5e374f5a37fd36ef4a9786e7c2c
SHA1: 29141dca88dd2bb18b928f83d04baa580eafc045
SHA256: eab2a6b6f1de2424e2bbc2575da11fe2c673c2b40c8662422dd9b0968d85b30a
SHA512: ed0c45178223335759218791584714e9f23996a531fffe0e06c3c710bf817339a4b24d492c11d33335418f3430441652ce0e6e5cf7154d297e9b845d323041f7
Homepage: https://cran.r-project.org/package=rmweather
Description: CRAN Package 'rmweather' (Tools to Conduct Meteorological Normalisation and CounterfactualModelling for Air Quality Data)
 An integrated set of tools to allow data users to conduct meteorological
 normalisation and counterfactual modelling for air quality data. The
 meteorological normalisation technique uses predictive random forest models
 to remove variation of pollutant concentrations so trends and interventions
 can be explored in a robust way. For examples, see Grange et al. (2018)
 <doi:10.5194/acp-18-6223-2018> and Grange and Carslaw (2019)
 <doi:10.1016/j.scitotenv.2018.10.344>. The random forest models can also be
 used for counterfactual or business as usual (BAU) modelling by using the
 models to predict, from the model's perspective, the future. For an example,
 see Grange et al. (2021) <doi:10.5194/acp-2020-1171>.

Package: r-cran-rmx
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-erm, r-cran-psychotools, r-cran-ltm, r-cran-mirt, r-cran-tam
Filename: pool/dists/focal/main/r-cran-rmx_0.1-6-1.ca2004.1_all.deb
Size: 143224
MD5sum: 5d49c806d548a9fcfe5e2d5f2dd42457
SHA1: c3a7b7294d52e879577a8b418ccf990474a234f4
SHA256: f9d38ada7b33dc4c382ac243c978a581ef56590f7241cfc229710cccac4f32df
SHA512: b0be535ebbb6d0c13a4bda4a2ad940398f62f2d1d2f149a6ee59d300973522ce89be3823389e58014d3a5b4c9a7489e12ee4ffc5eb4fe5767554b8537e1e142c
Homepage: https://cran.r-project.org/package=RMX
Description: CRAN Package 'RMX' (Rasch Models -- eXtensions)
 Extend Rasch and Item Response Theory (IRT) analyses by providing tools for
 post-processing the output from five major IRT packages (i.e., 'eRm',
 'psychotools', 'ltm', 'mirt', and 'TAM').  The current version provides the
 plotPIccc() function, which extracts from the return object of the
 originating package all information required to draw an extended
 Person-Item-Map (PIccc), showing any combination of * category
 characteristic curves (CCCs), * threshold characteristic curves (TCCs), *
 item characteristic curves (ICCs), * category information functions (CIFs),
 * item information functions (IIFs), * test information function (TIF), and
 the * standard error curve (S.E.).  for uni- and multidimensional models (as
 far as supported by each package). It allows for selecting dimensions,
 items, and categories to plot and offers numerous options to adapt the
 output. The return object contains all calculated values for further
 processing.

Package: r-cran-rmytarget
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rmytarget_2.4.0-1.ca2004.1_all.deb
Size: 198268
MD5sum: 6b3065e00bc960a79ea7891afd1b3835
SHA1: 581c05987077e169dd6bfd50badc62a52180f0a3
SHA256: 9f8df4250a85962f3745b7fa49810b1c8bd32ab97d43a9ba5825b9e6cc8187ab
SHA512: 95a566a4b17506c27fa41adb961dce24fcebe2d0fd8156b6cfd47b798c6382c11b1a7414d2077080845f8096bb737ea469281e696d1bbe69216af3444188f552
Homepage: https://cran.r-project.org/package=rmytarget
Description: CRAN Package 'rmytarget' (Load Data from 'MyTarget API v2 and v3')
 Allows work with 'MyTarget Statistics API v2'
 <https://target.my.com/adv/api-marketing/doc/stat-v2> and 'MyTarget
 Statistics API v3'
 <https://target.my.com/adv/api-marketing/doc/stat-v2#statisticsv3> load data
 by ads, campaigns, agency clients and statistic from your ads account.

Package: r-cran-rmzqc
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4304
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-knitr, r-cran-ontologyindex, r-cran-rmarkdown, r-cran-r6, r-cran-r6p, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rmzqc_0.6.0-1.ca2004.1_all.deb
Size: 911084
MD5sum: 636124cfd5884227ad74a44cbe562f0f
SHA1: 790b9ffd763f2519c949038579d99cab04b0176e
SHA256: 19dfc2cb9ab540d6df4b322a3a73b89dbb794be6494c0d141785ce7637a972de
SHA512: 6b2349108cae6691937b0c1692f7049993ce2b93f8a7c4210f9fa0143ba8cc695f114469087ebb8c7e1403fd725279af06d16e5db8a645a46de9c0dcd5e28a1f
Homepage: https://cran.r-project.org/package=rmzqc
Description: CRAN Package 'rmzqc' (Creation, Reading and Validation of 'mzqc' Files)
 Reads, writes and validates 'mzQC' files. The 'mzQC' format is a
 standardized file format for the exchange, transmission, and archiving of
 quality metrics derived from biological mass spectrometry data, as defined
 by the HUPO-PSI (Human Proteome Organisation - Proteomics Standards
 Initiative) Quality Control working group.  See
 <https://hupo-psi.github.io/mzQC/> for details.

Package: r-cran-rnacrosslinkoo
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3266
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seqinr, r-bioc-genomicranges, r-cran-ggplot2, r-cran-reshape2, r-cran-mass, r-cran-mixtools, r-bioc-s4vectors, r-cran-patchwork, r-cran-doparallel, r-cran-igraph, r-bioc-r4rna, r-cran-rcolorbrewer, r-bioc-iranges, r-cran-foreach, r-cran-heatmap3, r-cran-topdom, r-cran-tidyverse, r-cran-rrna, r-cran-ggrepel, r-cran-classdiscovery
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rnacrosslinkoo_0.1.4-1.ca2004.1_all.deb
Size: 1412700
MD5sum: 93418c214376c7d8a29c2a10ad8a8986
SHA1: f311b0569f1b6e644984eb5eb517dddfd75e3884
SHA256: cb68e86527f1417f00fac108a61ff56b099e6318da7eaa832193e60fbe5a7423
SHA512: 9560a104bd754f8df77478cb957369f8f26d7090c4a1a00814047d2642072978e33b303e67ed30814aedabbb3974b0b845db95dedf544ba8193de2adc0290f81
Homepage: https://cran.r-project.org/package=rnaCrosslinkOO
Description: CRAN Package 'rnaCrosslinkOO' (Analysis of RNA Crosslinking Data)
 Analysis of RNA crosslinking data for RNA structure prediction. The package
 is suitable for the analysis of RNA structure cross-linking data and
 chemical probing data.

Package: r-cran-rnames
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rnames_1.0.1-1.ca2004.1_all.deb
Size: 15440
MD5sum: 3b6963a4595f426de3872cd18b51a629
SHA1: afb9eaf099022bae96b7645898f872eeb578ae2c
SHA256: 3f455b894ba832850802fc7568f9b68157f5b7b417b9be3809d1e79ef39712cc
SHA512: d1bbcf3c86918920422e03f567858313c2ef1f6ee9d69bffc5e10392a304c113a710010ffb31082bd3d3dc8b13be9469be2391dbe1a545e13499acc151031374
Homepage: https://cran.r-project.org/package=rnames
Description: CRAN Package 'rnames' (Recursive Display of Items in Nested Lists)
 Recursive display of names and paths of all the items nested within sublists
 of a list object.

Package: r-cran-rnamf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plgp, r-cran-lhs, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rnamf_1.1.1-1.ca2004.1_all.deb
Size: 226224
MD5sum: 6a7d830477e1673e474d3d32e3296399
SHA1: 36cbfd52e1d5d7c1a35c5d5177112c27ab7c1a27
SHA256: 9e7ee451a3d7d384cf0ee33837076f87996d777a1f5fb5fa14653a2c395c8ae9
SHA512: 7035a8a92b46291645f98df36d4af9b7a8866a16e41d77952efb02cf45eb2e577e1e167ceabbfc96600fc5488e358cb980e4c54c97eba7b74f5fba5caecadcc2
Homepage: https://cran.r-project.org/package=RNAmf
Description: CRAN Package 'RNAmf' (Recursive Non-Additive Emulator for Multi-Fidelity Data)
 Performs RNA emulation and active learning proposed by Heo and Sung (2025)
 <doi:10.1080/00401706.2024.2376173> for multi-fidelity computer experiments.
 The RNA emulator is particularly useful when the simulations with different
 fidelity level are nonlinearly correlated. The hyperparameters in the model
 are estimated by maximum likelihood estimation.

Package: r-cran-rnaseqnet
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2595
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-hot.deck, r-cran-poiclaclu, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rnaseqnet_0.1.5-1.ca2004.1_all.deb
Size: 1244664
MD5sum: aa007c0a89025474bbfd695e2f978c88
SHA1: aa3d8e649aa7dc05f68b41da19d41ff2d12ea8cf
SHA256: df0e13e74700ffb23718d52fe8403685af527c2ac3759c6f7773b91ef92b57a2
SHA512: 1b0e8e96e31f92fd79901e024ddf6146a403d7e3f2df43304b0767349f6892527c8b35697ec4b745cbb3ef4767fce3d8e5b5c005acae7b1cf569a30f5d632643
Homepage: https://cran.r-project.org/package=RNAseqNet
Description: CRAN Package 'RNAseqNet' (Log-Linear Poisson Graphical Model with Hot-Deck MultipleImputation)
 Infer log-linear Poisson Graphical Model with an auxiliary data set.
 Hot-deck multiple imputation method is used to improve the reliability of
 the inference with an auxiliary dataset. Standard log-linear Poisson
 graphical model can also be used for the inference and the Stability
 Approach for Regularization Selection (StARS) is implemented to drive the
 selection of the regularization parameter. The method is fully described in
 <doi:10.1093/bioinformatics/btx819>.

Package: r-cran-rnaseqqc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4950
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-annotationhub, r-bioc-annotationfilter, r-bioc-biocgenerics, r-bioc-ensembldb, r-cran-circlize, r-bioc-deseq2, r-bioc-summarizedexperiment, r-bioc-complexheatmap, r-cran-matrixstats, r-cran-ggpointdensity, r-cran-ggrepel, r-cran-ggplot2, r-cran-cowplot, r-cran-patchwork, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-bioc-recount3, r-bioc-apeglm, r-cran-ggrastr, r-cran-gghighlight
Filename: pool/dists/focal/main/r-cran-rnaseqqc_0.2.1-1.ca2004.1_all.deb
Size: 4244552
MD5sum: b6b4fba85c735e8fd5f09aa32b3bfcb7
SHA1: f73b94a673dc21024e298d2ca81855ff28e1100f
SHA256: 600d1b20ade2855c3559dff928b72f761e910bdca393c2066927ed19bcae354b
SHA512: 34ff91ec695e8133366578d830ebab8e33724e7ddafe65647f66fda7bd07ad9a9672b3cd700fdcfb40cb12bc10ac4eeed60f2219aac88ae8e72a5dfb34ffb073
Homepage: https://cran.r-project.org/package=RNAseqQC
Description: CRAN Package 'RNAseqQC' (Quality Control for RNA-Seq Data)
 Functions for semi-automated quality control of bulk RNA-seq data.

Package: r-cran-rnasmc
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rrna, r-cran-circlize
Filename: pool/dists/focal/main/r-cran-rnasmc_0.8.0-1.ca2004.1_all.deb
Size: 142164
MD5sum: 0456be4e3d9cf0bd48d1ef68b5bf4a92
SHA1: 4fd8591a43720fe3d9cfcf33fbebf6c294b1beda
SHA256: c7e5221354e9c444d387e0f56d9eb6f02512eb39b350eb90b95aa4b8b339e23d
SHA512: 66307330d831ac66bfb860b042a02f64290996e3555bc45794f19489781b56de0cb543113d5f97a16870d49838deb998846a3dc4623d17ad6f2f8a478dc045e2
Homepage: https://cran.r-project.org/package=RNAsmc
Description: CRAN Package 'RNAsmc' (RNA Secondary Structure Module Mining, Comparison and Plotting)
 Provides function for RNA secondary structure plotting, comparison and
 module mining. Given a RNA secondary structure, you can obtain stem regions,
 hairpin loops, internal loops, bulge loops and multibranch loops of this RNA
 structure using this program. They are the basic modules of RNA secondary
 structure. For each module you get, you can use this program to label the
 RNA structure with a specific color. You can also use this program to
 compare two RNA secondary structures to get a score that represents
 similarity. Reference: Reuter JS, Mathews DH (2010)
 <doi:10.1186/1471-2105-11-129>.

Package: r-cran-rnassqs
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2653
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-here, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rnassqs_0.6.3-1.ca2004.1_all.deb
Size: 1934544
MD5sum: 15886583f98d24aadb23f4423bbc285f
SHA1: b3fa0a8d3c47a23ce0da32fa86f3c0a00667baa7
SHA256: 107577774bc2a2e544c1989dc0f2428689c758dde4b502bc06100d68854f948c
SHA512: c2a9cb235d5087c30efa96206b8edf65c761cc817bf45d0c32d0f81fe859108646d01284797dc2c3c8d8f00f757a78161939f88073adb532fce754949a1fcf19
Homepage: https://cran.r-project.org/package=rnassqs
Description: CRAN Package 'rnassqs' (Access Data from the NASS 'Quick Stats' API)
 Interface to access data via the United States Department of Agriculture's
 National Agricultural Statistical Service (NASS) 'Quick Stats' web API
 <https://quickstats.nass.usda.gov/api/>. Convenience functions facilitate
 building queries based on available parameters and valid parameter values.
 This product uses the NASS API but is not endorsed or certified by NASS.

Package: r-cran-rnaturalearth
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2647
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-sf, r-cran-terra
Suggests: r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-lifecycle, r-cran-pbapply, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-rnaturalearthdata, r-cran-testthat, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-rnaturalearth_1.0.1-1.ca2004.1_all.deb
Size: 1572272
MD5sum: c7ddac6197a47fdd579df008908e5841
SHA1: 6362ec054a64729c8e3983cc1880a7ffe95025fd
SHA256: 0cbff8743df73f336770f321d9172973d72d3994e0cd310d7a70332fc27c88ae
SHA512: 77b0fff1a319a0a823e9fa4e620228ae5f2d55083f34f0bf64f7d03d3b0efe242dbdc6498fe20d231f202cab5435100de2763cb05c1fe0a2006338d19d856413
Homepage: https://cran.r-project.org/package=rnaturalearth
Description: CRAN Package 'rnaturalearth' (World Map Data from Natural Earth)
 Facilitates mapping by making natural earth map data from
 <https://www.naturalearthdata.com/> more easily available to R users.

Package: r-cran-rnaturalearthdata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3294
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rnaturalearthdata_1.0.0-1.ca2004.1_all.deb
Size: 3336160
MD5sum: 0ae51ca08cf4a2b84b1c83902dfdaa89
SHA1: b7e8f37b5b738749988d0b27a535c1c3960f591d
SHA256: f0b81dcddafd611d6f8a0c697a1c8fcb275526fd0d6cd62e2f6e32ed49d090b1
SHA512: a22bb02a5c55fe31bbde1c5beb66a28d87da65ab34f0fa37417a6c51dc91b940a5a0c2116342e413094caeac4a806fa805967d38714296d037ac1060394e644e
Homepage: https://cran.r-project.org/package=rnaturalearthdata
Description: CRAN Package 'rnaturalearthdata' (World Vector Map Data from Natural Earth Used in 'rnaturalearth')
 Vector map data from <https://www.naturalearthdata.com/>. Access functions
 are provided in the accompanying package 'rnaturalearth'.

Package: r-cran-rnavgraphimagedata
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3482
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rnavgraphimagedata_0.0.4-1.ca2004.1_all.deb
Size: 3532708
MD5sum: af1863c13fa1ad900d76e921cafa1480
SHA1: 6470802f68d6ee5222648890c2aed602f112bc04
SHA256: 5c74a1a79202cc876a38176567ef940781ed23d94cc33b60e3e843ce9aa18161
SHA512: 3b5652cc6597b4085f80db271ecc2164635001b97f21e7149d1e3ab2993b5ba3618a301fa91869361a69fab561ae31c13f2cc41d4c04a0589790afb7df975c57
Homepage: https://cran.r-project.org/package=RnavGraphImageData
Description: CRAN Package 'RnavGraphImageData' (Image Data Used in the Loon Package Demos)
 Image data used as examples in the loon R package.

Package: r-cran-rnavicell
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-rnavicell_0.2-1.ca2004.1_all.deb
Size: 300860
MD5sum: 75587f64aec7c850f7438567d4a808db
SHA1: d3736137673e14893c133225ba3b122e932925e4
SHA256: 396c8bccca72bd8cc0dec9143f4da354af753ff9dcba27dff6006bd303441e62
SHA512: 5a690f1e07ffafad480c15249f57baa31b225ade8650ac1602f6de26b4224cca52b9afce280b2bbc71243ffe55d470cf67b840433ee92326d41d4c9d1bc42e05
Homepage: https://cran.r-project.org/package=RNaviCell
Description: CRAN Package 'RNaviCell' (Visualization of High-Throughput Data on Large-Scale BiologicalNetworks)
 Provides a set of functions to access a data visualization web service. For
 more information and a tutorial on how to use it, see
 https://navicell.curie.fr/pages/nav_web_service.html and
 https://github.com/sysbio-curie/RNaviCell.

Package: r-cran-rnbp
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-httptest, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rnbp_0.2.2-1.ca2004.1_all.deb
Size: 101036
MD5sum: a156fabb8577e1987f1359c37fb6df75
SHA1: 55d3e1cb45833dad97f930592870e6f8b739c063
SHA256: 2744fe8c93793c4c8d51d3dfe3797b649d7dc611ab6a4b0dd10568d48fcda6d2
SHA512: 03718a5140f990e2884fc41e54427f9f837dd51d2b3436c9d5091e3c9a4ba3a9ea57a81add0bb4d3e0c8f086744aa9111888e86c99bb4b8dcec89e5b1506b511
Homepage: https://cran.r-project.org/package=rnbp
Description: CRAN Package 'rnbp' (Wrapper for the National Bank of Poland API)
 Use the <https://api.nbp.pl/> API through R. Retrieve currency exchange
 rates and gold prices data published by the National Bank of Poland in form
 of convenient R objects.

Package: r-cran-rncbieutilslibs
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12385
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rncbieutilslibs_0.9-1.ca2004.1_all.deb
Size: 8105592
MD5sum: 194c1a0f2f1021c4b3c159deedc848d0
SHA1: 8f674c8dc1964375ea08c77ce92d2bb6b9e7d05d
SHA256: 133ee69dd65835f9f1a027e6d84ae3b25d770a1a48dfa39b85ac888acc88a36c
SHA512: a9c9c07d51a746d407113b9470a8ed7bf9d94f75079ff36974030ebcf3283ef8fcbccb610b2c841c55145214aba82612e16716847699d114fad8eae4d760fc8b
Homepage: https://cran.r-project.org/package=RNCBIEUtilsLibs
Description: CRAN Package 'RNCBIEUtilsLibs' (EUtils libraries for use in the R environment)
 Provides the libraries of the EUtils operations for the RNCBI package.

Package: r-cran-rncep
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maps, r-cran-rcolorbrewer, r-cran-abind, r-cran-fields, r-cran-tgp, r-cran-sp
Filename: pool/dists/focal/main/r-cran-rncep_1.0.11-1.ca2004.1_all.deb
Size: 708560
MD5sum: 274cf068ba5d6a0950f7e44bddc862dc
SHA1: f4d1b1d75e15c32431b4f25dad1637584688c06a
SHA256: 4213eeda07b7323211fa21f77e5cc6e2e772a697f3f581e5f10f1f74ec91b893
SHA512: 1e4856541f6f5fba770ce9c3e82febd23e9271261d5f42ddfedba179aaa259d9cf5617a163a1ba4472920666f2fde01faf71e18f9b839c289ab69a45dff264e2
Homepage: https://cran.r-project.org/package=RNCEP
Description: CRAN Package 'RNCEP' (Obtain, Organize, and Visualize NCEP Weather Data)
 Contains functions to retrieve, organize, and visualize weather data from
 the NCEP/NCAR Reanalysis
 (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis.html>) and NCEP/DOE
 Reanalysis II
 (<https://psl.noaa.gov/data/gridded/data.ncep.reanalysis2.html>) datasets.
 Data are queried via the Internet and may be obtained for a specified
 spatial and temporal extent or interpolated to a point in space and time.
 We also provide functions to visualize these weather data on a map.  There
 are also functions to simulate flight trajectories according to specified
 behavior using either NCEP wind data or data specified by the user.

Package: r-cran-rnd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rnd_1.2-1.ca2004.1_all.deb
Size: 186128
MD5sum: 3cae7551d2cb5ea427de244aa32b5c9e
SHA1: f457e83b91875e02ab0763d1401e165467046b5c
SHA256: d51c9337ba3b03c69eed416046386c55b91c3c96d25b21f4162b207615e28ffc
SHA512: d9ec954dd2d9a6e1ac56ddc1f1f8820c39a9394bfdf8b0d6c01daff4626cef0da94f19492ba48149522abb885c8893786fc2830d686376c07100eda3cb1aa0a0
Homepage: https://cran.r-project.org/package=RND
Description: CRAN Package 'RND' (Risk Neutral Density Extraction Package)
 Extract the implied risk neutral density from options using various methods.

Package: r-cran-rneighborgwas
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gaston, r-cran-matrix, r-cran-rcppparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rneighborgwas_1.2.5-1.ca2004.1_all.deb
Size: 143128
MD5sum: 70dc57b03121192c8747d88366c3117b
SHA1: 5c98aeb0f271b5a67854216e3661220c39d56cf1
SHA256: 66fe603712b287e3925708eb37b812d9f8f558664c976e3d2a5114d329c326be
SHA512: 1eaed04a59dc7dcfbe76f51d696be5af9e2c3b54a5fca413582c1384018760023549e3ba2ce277108a5c778d9eaf21885385f931a533c2211902b5d1a9d851c3
Homepage: https://cran.r-project.org/package=rNeighborGWAS
Description: CRAN Package 'rNeighborGWAS' (Testing Neighbor Effects in Marker-Based Regressions)
 To incorporate neighbor genotypic identity into genome-wide association
 studies, the package provides a set of functions for variation partitioning
 and association mapping. The theoretical background of the method is
 described in Sato et al. (2021) <doi:10.1038/s41437-020-00401-w>.

Package: r-cran-rneighborqtl
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gaston, r-cran-matrix, r-cran-qtl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rneighborqtl_1.1.2-1.ca2004.1_all.deb
Size: 311304
MD5sum: 358589f06a74d61effe385354e1c9f33
SHA1: c747a9647d84c4345de0e9baf0288f74d2167525
SHA256: d525fa05391a4bbfed8732f61c0bfe30d37c93230926b33ba9a59d5a2c5aaf61
SHA512: 6aa63bba885b6d0b51c3dc8d839943135e2542ef78a97dc0029891b943459ee69b22ae0c97a5086dabafe15de385bed4d1e32f2e166f8857e7bed4cb0a1241f7
Homepage: https://cran.r-project.org/package=rNeighborQTL
Description: CRAN Package 'rNeighborQTL' (Interval Mapping for Quantitative Trait Loci Underlying NeighborEffects)
 To enable quantitative trait loci mapping of neighbor effects, this package
 extends a single-marker regression to interval mapping. The theoretical
 background of the method is described in Sato et al. (2021)
 <doi:10.1093/g3journal/jkab017>.

Package: r-cran-rnentropy
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1214
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rnentropy_1.2.3-1.ca2004.1_all.deb
Size: 1205316
MD5sum: f1182d989b749fb5a6d909894063f86d
SHA1: 3ebab4c2497755410a29dc42cbdf529dfeeff2ef
SHA256: e84b7b67c0e268f33d2be0f935a8d150c2ec3ebc7a76ad1517ea374b3133b917
SHA512: f5ae1604b9f1bfe12a933f8459bad6c7317b4e5a77a7a95038d6230f0c13e0368874cc2115035b3a114d1620051826aa62f2aa75a41e796c7dc33913721f753f
Homepage: https://cran.r-project.org/package=RNentropy
Description: CRAN Package 'RNentropy' (Entropy Based Method for the Detection of Significant Variationin Gene Expression Data)
 An implementation of a method based on information theory devised for the
 identification of genes showing a significant variation of expression across
 multiple conditions. Given expression estimates from any number of RNA-Seq
 samples and conditions it identifies genes or transcripts with a significant
 variation of expression across all the conditions studied, together with the
 samples in which they are over- or under-expressed.  Zambelli et al. (2018)
 <doi:10.1093/nar/gky055>.

Package: r-cran-rneos
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-xml
Filename: pool/dists/focal/main/r-cran-rneos_0.4-0-1.ca2004.1_all.deb
Size: 220496
MD5sum: 2f68d5c4bdc23461065404374f54223c
SHA1: 8be2d905a2466c75c975d41b86d34cc8b90a7c41
SHA256: be8bdf2e3fd43597a57f1db29036f857624fa0a9dda8f4af9ab7ff1ffbc476b5
SHA512: d43646336192feebef9a46cf2ba7e6c2e4e2700f6320036024167736335579b8cf07ca561aaabdf430ee80eddbedd491f4edd758b5057cc33f777b9fffebb47e
Homepage: https://cran.r-project.org/package=rneos
Description: CRAN Package 'rneos' (XML-RPC Interface to NEOS)
 Within this package the XML-RPC API to NEOS <https://neos-server.org/neos/>
 is implemented. This enables the user to pass optimization problems to NEOS
 and retrieve results within R.

Package: r-cran-rnest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3400
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-crayon, r-cran-ggplot2, r-cran-scales, r-cran-efa.mrfa, r-cran-fungible, r-cran-mass, r-cran-lavaan, r-cran-mvtnorm, r-cran-cli
Filename: pool/dists/focal/main/r-cran-rnest_1.2-1.ca2004.1_all.deb
Size: 283864
MD5sum: 81dcfffeb18288e3f87097f9b66644e9
SHA1: 807dd79364a93c68276a9aa61b101214d599d9f7
SHA256: 7c25e5f14c0f72ec60e0c544a626d18865b45188be87abf6fb7801114d762645
SHA512: 2171ac66de56f405a82057440845359dfd0ae0d4ce1207be92f1568b6a8f85ff8dbf30b277f35133b72a7602cb223a8b5e3309680386bf4bd8be193066e98bb9
Homepage: https://cran.r-project.org/package=Rnest
Description: CRAN Package 'Rnest' (Next Eigenvalue Sufficiency Test)
 Determine the number of dimensions to retain in exploratory factor analysis.
 The main function, nest(), returns the solution and the plot(nest()) returns
 a plot.

Package: r-cran-rnetlogo
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-rnetlogo_1.0-4-1.ca2004.1_all.deb
Size: 283456
MD5sum: 50cf760a320100a8edd2f48d2f1de21b
SHA1: 9a3890803b7e3e6c594810dc7362ac748a143dfc
SHA256: fafb1249ebb6fad67b96a058c03126dd7a0f263ee622af9641629825e4900134
SHA512: 8d6b3a773a587e125cca65317d274bb927117c32e93a509ac458b684170971ffcd95150e43af6ffb9bb8ec60b425a24d999a6fe5123db57322e8a2748efbabb5
Homepage: https://cran.r-project.org/package=RNetLogo
Description: CRAN Package 'RNetLogo' (Provides an Interface to the Agent-Based Modelling Platform'NetLogo')
 Interface to use and access Wilensky's 'NetLogo' (Wilensky 1999) from R
 using either headless (no GUI) or interactive GUI mode. Provides functions
 to load models, execute commands, and get values from reporters. Mostly
 analogous to the 'NetLogo' 'Mathematica' Link
 <https://github.com/NetLogo/Mathematica-Link>.

Package: r-cran-rnexml
Architecture: all
Version: 2.4.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2450
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-xml, r-cran-plyr, r-cran-reshape2, r-cran-httr, r-cran-uuid, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-stringi, r-cran-xml2, r-cran-rlang
Suggests: r-cran-spelling, r-cran-rdflib, r-cran-geiger, r-cran-phytools, r-cran-knitr, r-cran-rfigshare, r-cran-knitcitations, r-cran-testthat, r-cran-rmarkdown, r-cran-xslt, r-cran-covr, r-cran-taxalight, r-cran-progress
Filename: pool/dists/focal/main/r-cran-rnexml_2.4.11-1.ca2004.1_all.deb
Size: 721040
MD5sum: 159e1e462977987b288fec8754d3c617
SHA1: 83c913b1ae043f8712c14c4a548aa07a8fe77269
SHA256: 03cff25541b56e10489cc896e534348e6d39ec50b33a5992c81a5de054352002
SHA512: 7f2c947c7a14415b3d26b0ddf579f3b8da3ce539a44a9e28d701b09e1036e683e9dafce40b9e68371589ce502eb26c0be359b032b9904fbc35ac5230dd762eee
Homepage: https://cran.r-project.org/package=RNeXML
Description: CRAN Package 'RNeXML' (Semantically Rich I/O for the 'NeXML' Format)
 Provides access to phyloinformatic data in 'NeXML' format.  The package
 should add new functionality to R such as the possibility to manipulate
 'NeXML' objects in more various and refined way and compatibility with 'ape'
 objects.

Package: r-cran-rngforgpd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-mvtnorm, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rngforgpd_1.1.0-1.ca2004.1_all.deb
Size: 57396
MD5sum: 5cc0a128d254939357dab18f1e8f388f
SHA1: 6ad6db02dd03ceb742a94d6ce36bc4a569374fd6
SHA256: 94377cad5bdab22bedc3846f0df65f4f278cd15fb148a6730175545a9aeefc90
SHA512: f4eb1a82fcbbd9d00a5719e36daef4d156f79d1b50ba050912b09da4a7a500edc6b28be33b0918eaeee2a384e222edb38785a8da05ba1763afa367a5ecd8cb36
Homepage: https://cran.r-project.org/package=RNGforGPD
Description: CRAN Package 'RNGforGPD' (Random Number Generation for Generalized Poisson Distribution)
 Generation of univariate and multivariate data that follow the generalized
 Poisson distribution. The details of the univariate part are explained in
 Demirtas (2017) <doi: 10.1080/03610918.2014.968725>, and the multivariate
 part is an extension of the correlated Poisson data generation routine that
 was introduced in Yahav and Shmueli (2012) <doi: 10.1002/asmb.901>.

Package: r-cran-rngtools
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Suggests: r-cran-covr, r-cran-runit, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rngtools_1.5.2-1.ca2004.1_all.deb
Size: 77688
MD5sum: 6aed67811c9d874c39097d918022156c
SHA1: e55f991193e5664498d48eca448bf940bb844107
SHA256: b28629b3c6208e3b8c897446b37ef23cdd38c91235bd629ecd5d7633311e252a
SHA512: f9432868578690d9e1de7d86d9019a090a53035335939a5bb533003dbc6ba5e26ce7ec081b2880714633134f71e638c9ea3838fe9fdfd65f26f8b7e9c60dc951
Homepage: https://cran.r-project.org/package=rngtools
Description: CRAN Package 'rngtools' (Utility Functions for Working with Random Number Generators)
 Provides a set of functions for working with Random Number Generators
 (RNGs). In particular, a generic S4 framework is defined for getting/setting
 the current RNG, or RNG data that are embedded into objects for
 reproducibility.  Notably, convenient default methods greatly facilitate the
 way current RNG settings can be changed.

Package: r-cran-rnhanes
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign, r-cran-survey, r-cran-rvest, r-cran-xml2, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rnhanes_1.1.0-1.ca2004.1_all.deb
Size: 122220
MD5sum: 963c41eb8318dd99c8dc1bc400268478
SHA1: 2097f02332971af812f7fe264e417ac4abbe9e92
SHA256: 8c044a01edd40e32e6645119592ac06919c9ea953ca93c7370ad0ec3a49f37cf
SHA512: 61ec4c29053e8704e13ac3647a287ed50bb63fe7ff460c6399c1e55612ce0c44ba1c9ab8da8807863e24ba00a45eb71aed66e265d52ccd55e854ba8a827c33f2
Homepage: https://cran.r-project.org/package=RNHANES
Description: CRAN Package 'RNHANES' (Facilitates Analysis of CDC NHANES Data)
 Tools for downloading and analyzing CDC NHANES data, with a focus on
 analytical laboratory data.

Package: r-cran-rnightly
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-rnightly_0.1.0-1.ca2004.1_all.deb
Size: 14656
MD5sum: f3eb82d120e58a2987a13480e9566b15
SHA1: c242302a06a6e128854dc08e44117138d1cb7147
SHA256: 5759b82d68056e58a7f5428709c73d8740e39e9a4e0e26fa052f9b46cfe153af
SHA512: d670f0b0bff4c3ee764742aa12cac79ff91a67e244b8af382f6e4103ee4c0ec3849e8f1a355427c226c14ebdad3ebcd9bc4e5369056cb7e9a44e16a71651db34
Homepage: https://cran.r-project.org/package=Rnightly
Description: CRAN Package 'Rnightly' (A Wrapper of the 'JavaScript' Library 'Nightly')
 Allows the user to implement a dark/light toggle mode in 'shiny' using the
 'Nightly' 'JavaScript' library.  The default mode is dark/light however the
 user can also specify other colours.

Package: r-cran-rnmamod
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1874
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cluster, r-cran-coda, r-cran-dendextend, r-cran-gemtc, r-cran-ggfittext, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrepel, r-cran-heatmaply, r-cran-igraph, r-cran-knitr, r-cran-mass, r-cran-matrix, r-cran-r2jags, r-cran-reshape2, r-cran-scales, r-cran-stringr, r-cran-writexl
Suggests: r-cran-metafor, r-cran-netmeta, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rnmamod_0.5.0-1.ca2004.1_all.deb
Size: 1702396
MD5sum: 12f41d7c2e32a6eab8dd4fdfbcb0e4bb
SHA1: ef758a3cf861864e618d0221486564f2b0f63aad
SHA256: 61b04058b193bcd8b453ff40513af96eead9b9ccf0feaff6d68bc0cbad1c60b3
SHA512: f9a0109883088214e880dc28fb840a0b6d0bd935ef483a7bec40421bb4a3b84a1a241bc481caae0bc1a774227450e4429b5eeec2c61c589837dc6739997ab339
Homepage: https://cran.r-project.org/package=rnmamod
Description: CRAN Package 'rnmamod' (Bayesian Network Meta-Analysis with Missing Participants)
 A comprehensive suite of functions to perform and visualise pairwise and
 network meta-analysis with aggregate binary or continuous missing
 participant outcome data. The package covers core Bayesian one-stage models
 implemented in a systematic review with multiple interventions, including
 fixed-effect and random-effects network meta-analysis, meta-regression,
 evaluation of the consistency assumption via the node-splitting approach and
 the unrelated mean effects model (original and revised model proposed by
 Spineli, (2022) <doi:10.1177/0272989X211068005>), and sensitivity analysis
 (see Spineli et al., (2021) <doi:10.1186/s12916-021-02195-y>).  Missing
 participant outcome data are addressed in all models of the package (see
 Spineli, (2019) <doi:10.1186/s12874-019-0731-y>, Spineli et al., (2019)
 <doi:10.1002/sim.8207>, Spineli, (2019)
 <doi:10.1016/j.jclinepi.2018.09.002>, and Spineli et al., (2021)
 <doi:10.1002/jrsm.1478>).  The robustness to primary analysis results can
 also be investigated using a novel intuitive index (see Spineli et al.,
 (2021) <doi:10.1177/0962280220983544>).  Methods to evaluate the
 transitivity assumption using trial dissimilarities and hierarchical
 clustering are provided (see Spineli, (2024)
 <doi:10.1186/s12874-024-02436-7>, and Spineli et al., (2025)
 <doi:10.1002/sim.70068>). A novel index to facilitate interpretation of
 local inconsistency is also available (see Spineli, (2024)
 <doi:10.1186/s13643-024-02680-4>) The package also offers a rich,
 user-friendly visualisation toolkit that aids in appraising and interpreting
 the results thoroughly and preparing the manuscript for journal submission.
 The visualisation tools comprise the network plot, forest plots, panel of
 diagnostic plots, heatmaps on the extent of missing participant outcome data
 in the network, league heatmaps on estimation and prediction, rankograms,
 Bland-Altman plot, leverage plot, deviance scatterplot, heatmap of
 robustness, barplot of Kullback-Leibler divergence, heatmap of comparison
 dissimilarities and dendrogram of comparison clustering. The package also
 allows the user to export the results to an Excel file at the working
 directory.

Package: r-cran-rnmf
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnls, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rnmf_0.5.0-1.ca2004.1_all.deb
Size: 3076344
MD5sum: e8b103ecd38692c685f2fcc51402f528
SHA1: c6736c1362a68003a738a216db0acbb7c317b2fd
SHA256: 998aced11a21e77d52062df77662a2c0d551ebee88219a4e25429042f98cf1d6
SHA512: 7eae0aa3db226e528b7bb41efe0bfee761aec1d6efb1c75aaba6846f8e3ea23b845dc5b00b3ea8651fd0bb8b68d03febdbb7bdfea92d9ae8292bdffe70974a0e
Homepage: https://cran.r-project.org/package=rNMF
Description: CRAN Package 'rNMF' (Robust Nonnegative Matrix Factorization)
 An implementation of robust nonnegative matrix factorization (rNMF). The
 rNMF algorithm decomposes a nonnegative high dimension data matrix into the
 product of two low rank nonnegative matrices, while detecting and trimming
 outliers. The main function is rnmf(). The package also includes a
 visualization tool, see(), that arranges and prints vectorized images.

Package: r-cran-rnn
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 891
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-attention, r-cran-sigmoid
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rnn_1.9.0-1.ca2004.1_all.deb
Size: 538912
MD5sum: 7f56197df5c907f62a3e5a2381b12537
SHA1: 49d39e5bc0d0b9b9903a154431afe2a88136e424
SHA256: f292d95ff63bec517ddcbee62d54b17071ee0710f939f7e5e51f8c9f5a2fdd15
SHA512: 51fff83e0b5f20106aac4a273c2bcafe8544f63f54a326a288b04f819e752ace5f87d55cd4ff408e8b6996cc1fba59e967920d0c78e3190fb24cd14c64c694b1
Homepage: https://cran.r-project.org/package=rnn
Description: CRAN Package 'rnn' (Recurrent Neural Network)
 Implementation of a Recurrent Neural Network architectures in native R,
 including Long Short-Term Memory (Hochreiter and Schmidhuber,
 <doi:10.1162/neco.1997.9.8.1735>), Gated Recurrent Unit (Chung et al.,
 <arXiv:1412.3555>) and vanilla RNN.

Package: r-cran-rnnmf
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-viridis, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rnnmf_0.3.0-1.ca2004.1_all.deb
Size: 558552
MD5sum: bc50f6e855ae6ab87cc6c13fc351bdc8
SHA1: fe1faeca18cf5484a348f87139db53891ef5ed74
SHA256: 09955297198117a523a2f6465cbcc5dc03f69855b884872bbaf0be0bff6668c0
SHA512: f8d98c17d983a610a8f0ea3b9cd3d0cdcfabce3ed7c889bfc5a02bb0f91f476353dd0a3204ce760e9be0246bec0ff729292870a7c3b2bd6473677b58ec22e87a
Homepage: https://cran.r-project.org/package=rnnmf
Description: CRAN Package 'rnnmf' (Regularized Non-Negative Matrix Factorization)
 A proof of concept implementation of regularized non-negative matrix
 factorization optimization.  A non-negative matrix factorization factors
 non-negative matrix Y approximately as L R, for non-negative matrices L and
 R of reduced rank. This package supports such factorizations with weighted
 objective and regularization penalties. Allowable regularization penalties
 include L1 and L2 penalties on L and R, as well as non-orthogonality
 penalties. This package provides multiplicative update algorithms, which are
 a modification of the algorithm of Lee and Seung (2001)
 <http://papers.nips.cc/paper/1861-algorithms-for-non-negative-matrix-factorization.pdf>,
 as well as an additive update derived from that multiplicative update.  See
 also Pav (2004) <doi:10.48550/arXiv.2410.22698>.

Package: r-cran-rnoaa
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2476
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crul, r-cran-lubridate, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2, r-cran-scales, r-cran-xml, r-cran-xml2, r-cran-jsonlite, r-cran-gridextra, r-cran-tibble, r-cran-isdparser, r-cran-geonames, r-cran-hoardr, r-cran-data.table
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-taxize, r-cran-ncdf4, r-cran-raster, r-cran-leaflet, r-cran-rgdal, r-cran-purrr, r-cran-vcr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-rnoaa_1.4.0-1.ca2004.1_all.deb
Size: 1156788
MD5sum: b967a3bfa8c7f6887e08882a65ef3128
SHA1: 311a38c1d4e29f0f95476764bd5e965a5f392e7e
SHA256: a7115a30a91a01fb79d31eb277e06d6308d08637f2f1019341b889f66c383edd
SHA512: df51b72c56676b4da524f5e1d5cc1568cfe9db0fef9cbb5275497951c1605945406519a3ec5090961274535ca146f99d48c455824bf63232c29d07cf063eeb14
Homepage: https://cran.r-project.org/package=rnoaa
Description: CRAN Package 'rnoaa' ('NOAA' Weather Data from R)
 Client for many 'NOAA' data sources including the 'NCDC' climate 'API' at
 <https://www.ncdc.noaa.gov/cdo-web/webservices/v2>, with functions for each
 of the 'API' 'endpoints': data, data categories, data sets, data types,
 locations, location categories, and stations. In addition, we have an
 interface for 'NOAA' sea ice data, the 'NOAA' severe weather inventory,
 'NOAA' Historical Observing 'Metadata' Repository ('HOMR') data, 'NOAA'
 storm data via 'IBTrACS', tornado data via the 'NOAA' storm prediction
 center, and more.

Package: r-cran-rnomads
Architecture: all
Version: 2.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rvest, r-cran-stringr, r-cran-fields, r-cran-geomap, r-cran-mba, r-cran-httr, r-cran-xml, r-cran-uuid
Filename: pool/dists/focal/main/r-cran-rnomads_2.5.3-1.ca2004.1_all.deb
Size: 166460
MD5sum: ea51a8645b7e8f5df7041465b444b30b
SHA1: d52c104c9f3ae3ab6f399ac3a3d98f808a593670
SHA256: 7d0bc5c59c5dbf4d9b2fbb4eeeda038fa93286442e95ad4a843776585c2b70b6
SHA512: 3b437985ccce62e64e19c457502c119518a516e28cc4044f0486e055eb39185ec0c10a1f5a4beb59f27d3248f2cd8269d727862453765e3a9840e977712d0ac2
Homepage: https://cran.r-project.org/package=rNOMADS
Description: CRAN Package 'rNOMADS' (An R Interface to the NOAA Operational Model Archive andDistribution System)
 An interface to the National Oceanic and Atmospheric Administration's
 Operational Model Archive and Distribution System (NOMADS, see
 <https://nomads.ncep.noaa.gov/> for more information) that allows R users to
 quickly and efficiently download global and regional weather model data for
 processing.  rNOMADS currently supports a variety of models ranging from
 global weather data to an altitude of over 40 km, to high resolution
 regional weather models, to wave and sea ice models.  rNOMADS can retrieve
 binary data in grib format as well as import ascii data directly into R by
 interfacing with the GrADS-DODS system.

Package: r-cran-rnpn
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-sf, r-cran-terra, r-cran-testthat, r-cran-vcr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rnpn_1.4.0-1.ca2004.1_all.deb
Size: 514596
MD5sum: c30482083a3476ca164d70b786cca7aa
SHA1: a4e9477d46b50f06ad6a1e945259935bc3a565f4
SHA256: 91340dc515643e3b688b20b9d0bf6b6d1d7993b675b1a88b4bb43b80d0972598
SHA512: af68ba61ec5db853f8cc7d11edcaf0b70bc6d045c635654c837d1558788382254d122b57654e373b9511cffd83687ce224d2d0dd8021fa6a1f44f9eb806df74c
Homepage: https://cran.r-project.org/package=rnpn
Description: CRAN Package 'rnpn' (Interface to the National 'Phenology' Network 'API')
 Programmatic interface to the Web Service methods provided by the National
 'Phenology' Network (<https://usanpn.org/>), which includes data on various
 life history events that occur at specific times.

Package: r-cran-rnr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rnr_0.2.1-1.ca2004.1_all.deb
Size: 29064
MD5sum: 2d4ec34f0919a2c5d2ad568be3c1ca64
SHA1: ee828754b723a8f6a10ecd67348fc59f6cfab21d
SHA256: 0220dd16b2a4a68aa240f8a83103a6b76d8ef955cc159d0fabc7275e7a3fd939
SHA512: 9745fca8e141e95cd05f57a36e13cd3fdeba6b10e910df9914d4f797f8e576fd5af2f4dfff4a4389f4c9106077b677cbd84880705256c6be9889acebee87d7d2
Homepage: https://cran.r-project.org/package=rnr
Description: CRAN Package 'rnr' (Rosenbaum and Rubin Sensitivity)
 Apply sensitivity analysis for offline policy evaluation, as implemented in
 Jung et al. (2017) <arXiv:1702.04690> based on Rosenbaum and Rubin (1983)
 <http://www.jstor.org/stable/2345524>.

Package: r-cran-rnrfa
Architecture: all
Version: 2.1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1354
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-ggmap, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-sf, r-cran-tibble, r-cran-zoo
Suggests: r-cran-dt, r-cran-dygraphs, r-cran-knitr, r-cran-leaflet, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rnrfa_2.1.0.6-1.ca2004.1_all.deb
Size: 366876
MD5sum: d08d1710a4dca6d9acf0c01251b63d4a
SHA1: 707f1de2e9bfcdbf1024e87a1456a97faa1b23f4
SHA256: 44889d43b2974df2dc16e9faf8edd503443579a323a2ba2e470b89d884d68b11
SHA512: 23a7bc0af8a4384998d65951b133a19ce66988278701c7965c815b1b6bca4239c96eb1b87c1392f7879d372b5d4204073551402c826fc3407454d3f6e4341c42
Homepage: https://cran.r-project.org/package=rnrfa
Description: CRAN Package 'rnrfa' (UK National River Flow Archive Data from R)
 Utility functions to retrieve data from the UK National River Flow Archive
 (<https://nrfa.ceh.ac.uk/>, terms and conditions:
 <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>). The package contains R
 wrappers to the UK NRFA data temporary-API. There are functions to retrieve
 stations falling in a bounding box, to generate a map and extracting time
 series and general information. The package is fully described in Vitolo et
 al (2016) "rnrfa: An R package to Retrieve, Filter and Visualize Data from
 the UK National River Flow Archive"
 <https://journal.r-project.org/archive/2016/RJ-2016-036/RJ-2016-036.pdf>.

Package: r-cran-rnumerai
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-lubridate, r-cran-jsonlite, r-cran-ghql
Filename: pool/dists/focal/main/r-cran-rnumerai_3.0.1-1.ca2004.1_all.deb
Size: 88552
MD5sum: 98de93ac32004e195d912c41c488667e
SHA1: 1e1bc96b3990b271e6ec1584e0a7724db3293124
SHA256: a3f89bdf965aa729ffc7769885f95ed23b9ad138edd9e172ab0545bd4aca68b0
SHA512: cd120dc57cfbe3e006b510ef9b4070b7a5f195fa23dc53b36166fd44eacb21c81905715f1c98ac69f2f4be683ff3a731a6f80e32452f83b557af4fe7a5a2efb8
Homepage: https://cran.r-project.org/package=Rnumerai
Description: CRAN Package 'Rnumerai' (Interface to the Numerai Machine Learning Tournament API)
 Routines to interact with the Numerai Machine Learning Tournament API
 <https://numer.ai>. The functionality includes the ability to automatically
 download the current tournament data, submit predictions, and to get
 information for your user.

Package: r-cran-rnvd3
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-data.table, r-cran-htmlwidgets, r-cran-lazyeval, r-cran-viridislite, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-reshape2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-rnvd3_1.0.0-1.ca2004.1_all.deb
Size: 171504
MD5sum: 18eaa2727ec667753e13861aabe8350c
SHA1: 30bd3783465c946f699b777202eae44413eeaf77
SHA256: 73f8b52d3795cf93bebe2e6eebf4a69848bc072fdcc5758cef6a6402c246ce66
SHA512: 8fe9acbfe1029398f6039383f8a70c26aecfbc99fb0d04c18812006aca06a2e6e7cf6ef1b52e81948c65e5d37629a24aa527d99913ee02f2d9ec433f1b5a3879
Homepage: https://cran.r-project.org/package=Rnvd3
Description: CRAN Package 'Rnvd3' (An Incomplete Wrapper of the 'nvd3' JavaScript Library)
 Creates JavaScript charts with the 'nvd3' library. So far only the multibar
 chart, the horizontal multibar chart, the line chart and the line chart with
 focus are available.

Package: r-cran-roadoi
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 815
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-plyr, r-cran-purrr, r-cran-tibble, r-cran-miniui, r-cran-shiny, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-rmarkdown, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-roadoi_0.7.3-1.ca2004.1_all.deb
Size: 246380
MD5sum: 932194845eea49d43b62252cf41fb15e
SHA1: 218df8b31106e7f1ca47b25c87634ff0f9fce509
SHA256: 4c12b34f5d91dd4a1b20dd8e818bdb1d65234f24bf0fb171dc162d4eb9448ae1
SHA512: 281f5914320b82de930a9fef133117d46194a563118faa2e2262ac002cbb3ba820f87f0d8bba03d77553613529008063bbbc1809dc8418523badeb01c3652b00
Homepage: https://cran.r-project.org/package=roadoi
Description: CRAN Package 'roadoi' (Find Free Versions of Scholarly Publications via Unpaywall)
 This web client interfaces Unpaywall <https://unpaywall.org/products/api>,
 formerly oaDOI, a service finding free full-texts of academic papers by
 linking DOIs with open access journals and repositories. It provides unified
 access to various data sources for open access full-text links including
 Crossref and the Directory of Open Access Journals (DOAJ). API usage is free
 and no registration is required.

Package: r-cran-roads
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1947
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-data.table, r-cran-sf, r-cran-units, r-cran-rlang, r-cran-tidyselect, r-cran-terra
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-viridis, r-cran-tmap, r-cran-bench, r-cran-gdistance
Filename: pool/dists/focal/main/r-cran-roads_1.2.0-1.ca2004.1_all.deb
Size: 1596448
MD5sum: 3b8ea848328c8f606739530d1128a9f5
SHA1: 1235934ff5b74bfef6b3f8f40e39e29489eb6c2e
SHA256: dfaadd34fff237f11ebf9a1cf404418ca9385123de6a8ae263c6b1b9d113604f
SHA512: edcd35b71478ab0ba5ba805dc7e9d647319265d2630fbeaa4f22cc02e58879dca98a092e273d25304514b717ac73c62e6fd478a46010bb4afc6cedb9d538a754
Homepage: https://cran.r-project.org/package=roads
Description: CRAN Package 'roads' (Road Network Projection)
 Iterative least cost path and minimum spanning tree methods for projecting
 forest road networks. The methods connect a set of target points to an
 existing road network using 'igraph' <https://igraph.org> to identify least
 cost routes.  The cost of constructing a road segment between adjacent
 pixels is determined by a user supplied weight raster and a weight function;
 options include the average of adjacent weight raster values, and a function
 of the elevation differences between adjacent cells that penalizes steep
 grades. These road network projection methods are intended for integration
 into R workflows and modelling frameworks used for forecasting forest
 change, and can be applied over multiple time-steps without rebuilding a
 graph at each time-step.

Package: r-cran-roahd
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales, r-cran-robustbase, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-roahd_1.4.3-1.ca2004.1_all.deb
Size: 4707072
MD5sum: ab48fbdb95fdde18ecc5896b425d43bd
SHA1: d7bc7e8c1dc1d665f06df1844bad39fa23256f34
SHA256: 632cb6458891773b21b6e6677bc7549fa91f2461bdf4d0d200ba5aa437527049
SHA512: d51148522d14ff842cca9567e949fdadca753a6b50fc18b03ef6414189352acd9a4458bd2aee10fe6575e3839902a8ad45ba653c3bcb1ab373a020cfef565996
Homepage: https://cran.r-project.org/package=roahd
Description: CRAN Package 'roahd' (Robust Analysis of High Dimensional Data)
 A collection of methods for the robust analysis of univariate and
 multivariate functional data, possibly in high-dimensional cases, and hence
 with attention to computational efficiency and simplicity of use. See the R
 Journal publication of Ieva et al. (2019) <doi:10.32614/RJ-2019-032> for an
 in-depth presentation of the 'roahd' package. See Aleman-Gomez et al. (2021)
 <arXiv:2103.08874> for details about the concept of depthgram.

Package: r-cran-roauth
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-digest
Filename: pool/dists/focal/main/r-cran-roauth_0.9.6-1.ca2004.1_all.deb
Size: 137388
MD5sum: c9d6c743a35beb7a10d6c26324453dc0
SHA1: e5e02fa849e75e3a6404c156b194a2461b756aaf
SHA256: 8e8b27a86ba5b0ed93359b8e8264d7fd13fcd1bca53e2d0a0944d41bbf16bca2
SHA512: 45aedbccde9c81f952900bb95e79b10dcbc85555f34f969445b0384f39cfdde5e83582f5268c43c2db53b2d5fc439593b3abc3c0aee1a2869af75b597bbd95a1
Homepage: https://cran.r-project.org/package=ROAuth
Description: CRAN Package 'ROAuth' (R Interface For OAuth)
 Provides an interface to the OAuth 1.0 specification allowing users to
 authenticate via OAuth to the server of their choice.

Package: r-cran-rob
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmc, r-cran-minimalrsd
Filename: pool/dists/focal/main/r-cran-rob_0.1.0-1.ca2004.1_all.deb
Size: 27832
MD5sum: 3a48fb9c1d2d69728f8db663532e1e20
SHA1: a5bd271c86530059fcc4137fb3270f398a0a630a
SHA256: 7f8420ed46dae6fa1bdad30589d625fd4edc9fa3220a8fa629d8dfe8c9074fed
SHA512: d9b662bb4d7616619992257be0619adc366817bfcc0cd39c2f24a2bcf082d888640df608dd893b408386481e561ae40125579f511855f0cd08a57f42f7105eba
Homepage: https://cran.r-project.org/package=rob
Description: CRAN Package 'rob' (Run Orders with Assignment-Expansion Method)
 It enables the identification of sequentialexperimentation orders for
 factorial designs that jointly reduce bias and the number of level changes.
 The method used is that presented by Conto et al. (2025), known as the
 Assignment-Expansion method, which consists of adapting the linear
 programming assignment problem to generate balanced experimentation orders.
 The properties identified are then generalized to designs with a larger
 number of factors and levels using the expansion method proposed by Correa
 et al. (2009) and later generalized by Bhowmik et al. (2017). For more
 details see Conto et al. (2025) <doi:10.1016/j.cie.2024.110844>, Correa et
 al. (2009) <doi:10.1080/02664760802499337> and Bhowmik et al. (2017)
 <doi:10.1080/03610926.2016.1152490>.

Package: r-cran-robastbase
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rrcov, r-cran-distr, r-cran-distrex, r-cran-distrmod, r-cran-randvar, r-cran-startupmsg
Suggests: r-cran-roptest, r-cran-runit
Filename: pool/dists/focal/main/r-cran-robastbase_1.2.7-1.ca2004.1_all.deb
Size: 1427708
MD5sum: 3db0f21e9f97523a03946b8dd4eb3764
SHA1: 52961feac53bb9ff17f674e1c7f19e3bb09a669e
SHA256: 55546663418d8b93fedd7563d52cfa4d8b4b065d0936ce34589e027943190505
SHA512: 199a5c43e560a1fa63cd5a048bbe360e44d7f5cf0906245847ae4debc9a7537bc32bbd6f536f5369e32f76876dff92634ce3ebc817f7028c4a1c23560aa0a833
Homepage: https://cran.r-project.org/package=RobAStBase
Description: CRAN Package 'RobAStBase' (Robust Asymptotic Statistics)
 Base S4-classes and functions for robust asymptotic statistics.

Package: r-cran-robastrda
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11547
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robastrda_1.2.2-1.ca2004.1_all.deb
Size: 5975120
MD5sum: 327d5b5d6fcc17119507e6f439e25ec2
SHA1: 7b5585fb9d770faf905a3586175030d0521daff5
SHA256: ef5a26a771f5236966bcb08234e20b49f401e488efdedb665b126cf588a0ab1a
SHA512: 86724018b139330a129ef17e0a8e02a43cdb2b69971c0e94237f9f8eeff6a7d2769884f6451baaa249e2724dc89dd77c503426da63cb9f5aaaf3c36e1d9e242b
Homepage: https://cran.r-project.org/package=RobAStRDA
Description: CRAN Package 'RobAStRDA' (Interpolation Grids for Packages of the 'RobASt' - Family ofPackages)
 Includes 'sysdata.rda' file for packages of the 'RobASt' - family of
 packages; is currently used by package 'RobExtremes' only.

Package: r-cran-robber
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-blockmodels, r-cran-ggplot2, r-cran-gremlins, r-cran-igraph, r-cran-magrittr, r-cran-pammtools, r-cran-partitions, r-cran-purrr
Suggests: r-cran-dplyr, r-cran-forcats, r-cran-knitr, r-cran-patchwork, r-cran-pbmcapply, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-robber_0.2.4-1.ca2004.1_all.deb
Size: 259652
MD5sum: c9cd410b4b179cdd6ed2356cca0561db
SHA1: a38d2fc42a9855c3185441944c181fc1948c0c31
SHA256: da9115a6c7524f96c4317930b128ba34e30e152a258aa09abd05f871828af561
SHA512: 3c9c6edd251f846a08a0b2382d577e04a5ad547909c9e2ecc4b027cb54e9ee85aafdb1e0cd9658c1fd45a7a8e18c5c03462785fb76ef5c08930860e8bfe04eb5
Homepage: https://cran.r-project.org/package=robber
Description: CRAN Package 'robber' (Using Block Model to Estimate the Robustness of EcologicalNetwork)
 Implementation of a variety of methods to compute the robustness of
 ecological interaction networks with binary interactions as described in
 <doi:10.1002/env.2709>. In particular, using the Stochastic Block Model and
 its bipartite counterpart, the Latent Block Model to put a parametric model
 on the network, allows the comparison of the robustness of networks
 differing in species richness and number of interactions. It also deals with
 networks that are partially sampled and/or with missing values.

Package: r-cran-robcbi
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-robeth
Filename: pool/dists/focal/main/r-cran-robcbi_1.1-4-1.ca2004.1_all.deb
Size: 466520
MD5sum: 8094abe3907a5e66d419561d5d236d23
SHA1: 45726bde82c179244a415581c9a32d4c4631a8d0
SHA256: 91e1a35bbb4e235d836870b28edad77f4656ec76c5e2a2b646a1b350ce522b36
SHA512: d5db0cb507254cbec836ae31e4dc9a8272b9df1fa9a8c9bcb625397009ae1964865a99e5a3946e790e75d808dcc6b4e6f63db61a3a98ebe1be344f030e7cffc5
Homepage: https://cran.r-project.org/package=robcbi
Description: CRAN Package 'robcbi' (Conditionally Unbiased Bounded Influence Estimates)
 Conditionally unbiased bounded influence estimates as described in Kuensch
 et al. (1989) <doi:10.1080/01621459.1989.10478791> in three special cases of
 the generalized linear model: Bernoulli, Binomial, and Poisson distributed
 responses.

Package: r-cran-robcor
Architecture: all
Version: 0.1-6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-mass, r-cran-robustbase, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-robcor_0.1-6.1-1.ca2004.1_all.deb
Size: 36556
MD5sum: ea40e6477fce2f5c2feae9a1571826a3
SHA1: 669827066dc875cdad3dc16f0d4b94b8d74e8e43
SHA256: 638b9064ca06e47eb48c1a06eca1da342f71dd536712cf669c4521285f3571bf
SHA512: 9e09131cfdc32241d2bdc7261aacecb74c91e84d0defa56f2183ba8e294eb024cff8e1649ea502b0a951711bea160272e6a4d5acdaf94987c06124ba8c701205
Homepage: https://cran.r-project.org/package=robcor
Description: CRAN Package 'robcor' (Robust Correlations)
 Robust pairwise correlations based on estimates of scale, particularly on
 "FastQn" one-step M-estimate.

Package: r-cran-robflreg
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fda, r-cran-mass, r-cran-robustbase, r-cran-expm, r-cran-fda.usc, r-cran-goffda, r-cran-mvtnorm, r-cran-pcapp, r-cran-fields
Filename: pool/dists/focal/main/r-cran-robflreg_1.2-1.ca2004.1_all.deb
Size: 303096
MD5sum: 92a204473904d273466ef78c05382127
SHA1: 45c5e8826bd50d7ff52a2b1d5a0cc679aa7e8365
SHA256: d4a603660f8ba4ca6cba5c399fa6e79f9ad2bc1f25c9438fd22e2e2daa637972
SHA512: 86dc8a293e39f0cb64574bbc44303ff8b2100487c1a74cb47dd1bf842aa4a9b6ecc08c68ad76871ff9b8d86bbf344980b88c13dc1ff94ab8b43ed6c6949bb503
Homepage: https://cran.r-project.org/package=robflreg
Description: CRAN Package 'robflreg' (Robust Functional Linear Regression)
 Functions for implementing robust methods for functional linear regression.
 In the functional linear regression, we consider scalar-on-function linear
 regression and function-on-function linear regression. More details, see
 Beyaztas, U., and Shang, H. L. (2021) <arXiv:2111.01238> and Beyaztas, U.,
 and Shang, H. L. (2022) <arXiv:2203.05065>.

Package: r-cran-robin
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1428
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-ggplot2, r-cran-networkd3, r-cran-desctools, r-cran-fdatest, r-cran-gridextra, r-cran-spam, r-cran-qpdf, r-cran-matrix, r-cran-perturbr, r-bioc-biocparallel, r-cran-reshape2
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robin_2.0.0-1.ca2004.1_all.deb
Size: 898268
MD5sum: cfc79c067e9bced8790f74f5b773b8da
SHA1: e7ad14e931ec283fc67b406e094f24da923a5403
SHA256: e7d170317b3f85c8ce497400532f29ee76d8a11c44cebfbffb4903d2d31ac30e
SHA512: eb137b9b1d6eb66a1b7b016780b3548e378e19c5a8fac6d5522af3635ae252c7810dfd6e0a787b0e809cd10faf4e083220caeb0e03fdc066b62f928b23a2761a
Homepage: https://cran.r-project.org/package=robin
Description: CRAN Package 'robin' (ROBustness in Network)
 Assesses the robustness of the community structure of a network found by one
 or more community detection algorithm to give indications about their
 reliability. It detects if the community structure found by a set of
 algorithms is statistically significant and compares the different selected
 detection algorithms on the same network. robin helps to choose among
 different community detection algorithms the one that better fits the
 network of interest. Reference in Policastro V., Righelli D., Carissimo A.,
 Cutillo L., De Feis I. (2021)
 <https://journal.r-project.org/archive/2021/RJ-2021-040/index.html>.

Package: r-cran-robincar2
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-numderiv, r-cran-mass, r-cran-sandwich
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robincar2_0.1.1-1.ca2004.1_all.deb
Size: 100040
MD5sum: e34eddb65dee4c88a7c4922ef3964d48
SHA1: 5e8ce3c85a2def0494579fd4b18aae271e8e8ba3
SHA256: 18b2c35300c9d10a36efe94eb384a6484a1a8696c50e4dab658b79f11a6abc64
SHA512: 3ce4b195cbfdedd43beac7c60fc4433e07b6fb2e95d467bc452ff60f6b0e6bce4f2e35a149dd4a41f9b09ad8d756e22855f8df7f92b6039134c664f3adb68929
Homepage: https://cran.r-project.org/package=RobinCar2
Description: CRAN Package 'RobinCar2' (ROBust INference for Covariate Adjustment in Randomized ClinicalTrials)
 Performs robust estimation and inference when using covariate adjustment
 and/or covariate-adaptive randomization in randomized controlled trials.
 This package is trimmed to reduce the dependencies and validated to be used
 across industry.  See "FDA's final guidance on covariate
 adjustment"<https://www.regulations.gov/docket/FDA-2019-D-0934>, Tsiatis
 (2008) <doi:10.1002/sim.3113>, Bugni et al. (2018)
 <doi:10.1080/01621459.2017.1375934>, Ye, Shao, Yi, and Zhao
 (2023)<doi:10.1080/01621459.2022.2049278>, Ye, Shao, and Yi
 (2022)<doi:10.1093/biomet/asab015>, Rosenblum and van der Laan
 (2010)<doi:10.2202/1557-4679.1138>, Wang et al.
 (2021)<doi:10.1080/01621459.2021.1981338>, Ye, Bannick, Yi, and Shao
 (2023)<doi:10.1080/24754269.2023.2205802>, and Bannick, Shao, Liu, Du, Yi,
 and Ye (2024)<doi:10.48550/arXiv.2306.10213>.

Package: r-cran-robincar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-emulator, r-cran-numderiv, r-cran-tidyverse, r-cran-rlang, r-cran-survival, r-cran-fastdummies, r-cran-data.table, r-cran-broom, r-cran-superlearner, r-cran-aipw, r-cran-mass, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ranger, r-cran-forcats, r-cran-matrixcalc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robincar_1.0.0-1.ca2004.1_all.deb
Size: 235308
MD5sum: 3aa890eac8dd689d0743a76590efcdc6
SHA1: 696b07cc91132f263449251e9713dfb892fed0d5
SHA256: ce5dd5f25c6559e343ea96055b16098f194b264007233f2c0056aed7c4b99959
SHA512: 6cb8ab6bd8fdcf5e7aca1bd2c8bd4295e3a6164bd67dbf542edc04fc9da6c452428f2133de02acd1a20bd7315a145203e622143e224e46eb1738ecde29969412
Homepage: https://cran.r-project.org/package=RobinCar
Description: CRAN Package 'RobinCar' (Robust Inference for Covariate Adjustment in Randomized ClinicalTrials)
 Performs robust estimation and inference when using covariate adjustment
 and/or covariate-adaptive randomization in randomized clinical trials.  Ting
 Ye, Jun Shao, Yanyao Yi, Qinyuan Zhao (2023)
 <doi:10.1080/01621459.2022.2049278>.  Ting Ye, Marlena Bannick, Yanyao Yi,
 Jun Shao (2023) <doi:10.1080/24754269.2023.2205802>.  Ting Ye, Jun Shao,
 Yanyao Yi (2023) <doi:10.1093/biomet/asad045>.  Marlena Bannick, Jun Shao,
 Jingyi Liu, Yu Du, Yanyao Yi, Ting Ye (2024) <doi:10.1093/biomet/asaf029>.
 Xiaoyu Qiu, Yuhan Qian, Jaehwan Yi, Jinqiu Wang, Yu Du, Yanyao Yi, Ting Ye
 (2025) <doi:10.48550/arXiv.2408.12541>.

Package: r-cran-robincid
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-numderiv, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robincid_1.0.0-1.ca2004.1_all.deb
Size: 92744
MD5sum: bd9d1cbdc5e04d296f357186b40cf6de
SHA1: 90bfb9abd4a7e947427f09bde15712d8a571148d
SHA256: 957b73aaae22a8a1746a822da748020a2adccc90640da7db82259dc10d07ca23
SHA512: 1b8baeea3116c6c9585b15b17aa345fa6a288bfc4d6f6488f9f6a9be1a8709d81c7a51cc79de179b90c053c0469357931e86365990dfe1cca4edcbdb7bea766a
Homepage: https://cran.r-project.org/package=RobinCID
Description: CRAN Package 'RobinCID' (Robust Inference in Complex Innovative Trial Design)
 Perform robust estimation and inference in platform trials and other master
 protocol trials.  Yuhan Qian, Yifan Yi, Jun Shao, Yanyao Yi, Gregory Levin,
 Nicole Mayer-Hamblett, Patrick J. Heagerty, Ting Ye (2025)
 <doi:10.48550/arXiv.2411.12944>.

Package: r-cran-robinhood
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-lubridate, r-cran-profvis, r-cran-magrittr, r-cran-dplyr, r-cran-httr, r-cran-uuid
Filename: pool/dists/focal/main/r-cran-robinhood_1.7.0-1.ca2004.1_all.deb
Size: 215076
MD5sum: 59dcda598f7086a526c108796dc8df53
SHA1: ae98f5f98293432ca5c1f561f86ca906bf9a6a77
SHA256: c31ac311065881c79d273c76c293c0ede8f11e8e2504ac186ef6a976e03c6a2d
SHA512: 6c9f757137e7fac4bd7c38bf4ccded828aee21aa06eb020a93099d43be58a6656e4d5083e373c6cd5c5f2c4477fda5c835f61ea2e8b46fbcd16b4f304adddbc1
Homepage: https://cran.r-project.org/package=RobinHood
Description: CRAN Package 'RobinHood' (Interface for the RobinHood.com No Commission Investing Platform)
 Execute API calls to the RobinHood <https://robinhood.com> investing
 platform. Functionality includes accessing account data and current
 holdings, retrieving investment statistics and quotes, placing and canceling
 orders, getting market trading hours, searching investments by popular tag,
 and interacting with watch lists.

Package: r-cran-robis
Architecture: all
Version: 2.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-jsonlite, r-cran-leaflet, r-cran-ggplot2, r-cran-tidyr, r-cran-httpcache, r-cran-tibble, r-cran-mapedit, r-cran-sf, r-cran-rlang, r-cran-purrr, r-cran-stringr, r-cran-curl, r-cran-data.table, r-cran-tidyselect, r-cran-xml2, r-cran-glue, r-cran-memoise
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-robis_2.11.3-1.ca2004.1_all.deb
Size: 234036
MD5sum: f68e33e57c52b97204663942768060ed
SHA1: 5ea18c2244cc313c259587c7d1239923ff576ee2
SHA256: a542184944f278c2dfdcb6f8e747bd8756f0a6968bdf61d28729f354b0d493d5
SHA512: 5147900bb7eb56e040c831534d495797535b6461ad6095570db5331d34a6a3f55e842770dcb98513d2d2f8297fa0adfcf4b3e72eaa8a454c7f356eae31919e7e
Homepage: https://cran.r-project.org/package=robis
Description: CRAN Package 'robis' (Ocean Biodiversity Information System (OBIS) Client)
 Client for the Ocean Biodiversity Information System (<https://obis.org>).

Package: r-cran-roblox
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distrmod, r-cran-robastbase, r-cran-lattice, r-cran-rcolorbrewer, r-bioc-biobase, r-cran-randvar, r-cran-distr
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-roblox_1.2.3-1.ca2004.1_all.deb
Size: 425036
MD5sum: 296fb1542db6ebe47b0ef8243bef59c1
SHA1: aec4d6b0f003fb743c474bab14bf887ae69517fb
SHA256: cc85af92e4303792090e04011246ecbd0b70ea1c7d0a11257f0e9c1d3ea47341
SHA512: 8eb9d93ed77dcfb14e2ef910e2c3707ec30eddb0cd7f9efa09937644630899eb2ef7da5d1156bdb8f3667f4d004ed8ffc2c9497aae81e180bc6630138d846e16
Homepage: https://cran.r-project.org/package=RobLox
Description: CRAN Package 'RobLox' (Optimally Robust Influence Curves and Estimators for Locationand Scale)
 Functions for the determination of optimally robust influence curves and
 estimators in case of normal location and/or scale (see Chapter 8 in Kohl
 (2005) <https://epub.uni-bayreuth.de/839/2/DissMKohl.pdf>).

Package: r-cran-robloxbioc
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-bioc-affy, r-bioc-biobase, r-bioc-biocgenerics, r-bioc-beadarray, r-cran-roblox, r-cran-distrmod, r-cran-lattice, r-cran-rcolorbrewer, r-bioc-annotationdbi
Suggests: r-bioc-affydata, r-bioc-hgu95av2cdf, r-bioc-beadarrayexampledata, r-bioc-illuminahumanv3.db
Filename: pool/dists/focal/main/r-cran-robloxbioc_1.2.3-1.ca2004.1_all.deb
Size: 91732
MD5sum: bc5890b12c9cb1903b44209088293267
SHA1: 6cae5c668279932fea043c0a95dba186db4299d4
SHA256: 715052952c85fa5b88073f6df98101b1dda6f2fd991b91b0151ea724a120bd8b
SHA512: 885258ad8fda7dc54fb8ef2e6f2c487615b395d0921b893494937c1d22bbc0d1a4f18e69d69ffe648a7667c00116026c7549521a2ac5ab7276b6f966bd93c61e
Homepage: https://cran.r-project.org/package=RobLoxBioC
Description: CRAN Package 'RobLoxBioC' (Infinitesimally Robust Estimators for Preprocessing -Omics Data)
 Functions for the determination of optimally robust influence curves and
 estimators for preprocessing omics data, in particular gene expression data
 (Kohl and Deigner (2010), <doi:10.1186/1471-2105-11-583>).

Package: r-cran-robmed
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1098
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-robustbase, r-cran-boot, r-cran-quantreg, r-cran-sn
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robmed_1.2.1-1.ca2004.1_all.deb
Size: 963920
MD5sum: 5ae06c962be634ab8306b8f75707a3f9
SHA1: 8df73c0701f92b3ee8f67a2936126e58ef79e7d8
SHA256: 12bbda53f653a39c5ff068069a0c2b4a70b1ad0912236c7395586081d249464a
SHA512: 19aa7cc4c81048ed484531e3d73e4895a428ad86f1b1dd9d146813dc732da67f89c9f2ad21ef2cc083ccfecb728ce48125de2b8393d50f9b6b3e6e115177176b
Homepage: https://cran.r-project.org/package=robmed
Description: CRAN Package 'robmed' ((Robust) Mediation Analysis)
 Perform mediation analysis via the fast-and-robust bootstrap test ROBMED
 (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>), as well as
 various other methods. Details on the implementation and code examples can
 be found in Alfons, Ates, and Groenen (2022b) <doi:10.18637/jss.v103.i13>.
 Further discussion on robust mediation analysis can be found in Alfons &
 Schley (2024) <doi:10.31234/osf.io/2hqdy>.

Package: r-cran-robmedextra
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-robmed, r-cran-shiny, r-cran-dt, r-cran-flextable, r-cran-ggplot2, r-cran-officer
Filename: pool/dists/focal/main/r-cran-robmedextra_0.1.1-1.ca2004.1_all.deb
Size: 196216
MD5sum: 364c677daff7c0c9a4414c5b9cd890ec
SHA1: d7a57dc321ad62d23c78233bad82af23a03c20bf
SHA256: 088e245217b7f402fac1bdbe6e8cde7f718932645f5eb6566ef11c0a9def9e6a
SHA512: e389f37d0c5c50d5c1cb2d6038565db675f56b059b01218c3853a64bf6e08baa3425b83fab5679501d2e774f76baebed4791299bbe5250ecd8b84049d0722854
Homepage: https://cran.r-project.org/package=robmedExtra
Description: CRAN Package 'robmedExtra' (Extra Functionality for (Robust) Mediation Analysis)
 This companion package extends the package 'robmed' (Alfons, Ates & Groenen,
 2022b; <doi:10.18637/jss.v103.i13>) in various ways.  Most notably, it
 provides a graphical user interface for the robust bootstrap test ROBMED
 (Alfons, Ates & Groenen, 2022a; <doi:10.1177/1094428121999096>) to make the
 method more accessible to less proficient 'R' users, as well as functions to
 export the results as a table in a 'Microsoft Word' or 'Microsoft
 Powerpoint' document, or as a 'LaTeX' table. Furthermore, the package
 contains a 'shiny' app to compare various bootstrap procedures for mediation
 analysis on simulated data.

Package: r-cran-robmixreg
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flexmix, r-cran-robustbase, r-cran-gtools, r-cran-mass, r-cran-robust, r-cran-lars, r-cran-dplyr, r-cran-rlang, r-cran-scales, r-cran-gplots, r-cran-rcolorbrewer, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-robmixreg_1.1.0-1.ca2004.1_all.deb
Size: 2080200
MD5sum: f9476b58e9d43a18b43a47048e5ffadf
SHA1: 0fb0d42aa5420bde1fe98de18af3a46c0fd34871
SHA256: 9f6f0977f556d8075f0f540709eb13523cd01a42d14f69b6c76a63f6ed031913
SHA512: 7f6f5699dced19ab46f29b89bdefa4df9a47acddaa89841302b9e9866d1c59aaab1673c9d63ecd107e2a06a18df2bb3c3301ab369a42d778758bead6831948d9
Homepage: https://cran.r-project.org/package=RobMixReg
Description: CRAN Package 'RobMixReg' (Robust Mixture Regression)
 Finite mixture models are a popular technique for modelling unobserved
 heterogeneity or to approximate general distribution functions in a
 semi-parametric way. They are used in a lot of different areas such as
 astronomy, biology, economics, marketing or medicine.  This package is the
 implementation of popular robust mixture regression methods based on
 different algorithms including: fleximix, finite mixture models and latent
 class regression; CTLERob, component-wise adaptive trimming likelihood
 estimation; mixbi, bi-square estimation; mixL, Laplacian distribution; mixt,
 t-distribution; TLE, trimmed likelihood estimation.  The implemented
 algorithms includes: CTLERob stands for Component-wise adaptive Trimming
 Likelihood Estimation based mixture regression; mixbi stands for mixture
 regression based on bi-square estimation; mixLstands for mixture regression
 based on Laplacian distribution; TLE stands for Trimmed Likelihood
 Estimation based mixture regression. For more detail of the algorithms,
 please refer to below references.  Reference: Chun Yu, Weixin Yao, Kun Chen
 (2017) <doi:10.1002/cjs.11310>.  NeyKov N, Filzmoser P, Dimova R et al.
 (2007) <doi:10.1016/j.csda.2006.12.024>.  Bai X, Yao W. Boyer JE (2012)
 <doi:10.1016/j.csda.2012.01.016>.  Wennan Chang, Xinyu Zhou, Yong Zang, Chi
 Zhang, Sha Cao (2020) <arXiv:2005.11599>.

Package: r-cran-robnptests
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1670
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack, r-cran-gtools, r-cran-robustbase, r-cran-statmod, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-usethis, r-cran-covr
Filename: pool/dists/focal/main/r-cran-robnptests_1.1.0-1.ca2004.1_all.deb
Size: 469664
MD5sum: 0038c088d5df4e46ef34316a2b2020b7
SHA1: 9546fdb064d15ea9262e85086e5d42014cc3015a
SHA256: a5ae4263f1e1a8c8395c3a95123fda5737e5faff05e5fe8003802632f3b9c226
SHA512: 6df5268857605691c5d35240746d5dd70c4e9d5f3b08ac1369ffb2c0e814829283136984e69ae24b6f7f04da49cc71e6e5e69cef4dd9fabe589836151aa88489
Homepage: https://cran.r-project.org/package=robnptests
Description: CRAN Package 'robnptests' (Robust Nonparametric Two-Sample Tests for Location/Scale)
 Implementations of several robust nonparametric two-sample tests for
 location or scale differences. The test statistics are based on robust
 location and scale estimators, e.g. the sample median or the Hodges-Lehmann
 estimators as described in Fried & Dehling (2011)
 <doi:10.1007/s10260-011-0164-1>.  The p-values can be computed via the
 permutation principle, the randomization principle, or by using the
 asymptotic distributions of the test statistics under the null hypothesis,
 which ensures (approximate) distribution independence of the test decision.
 To test for a difference in scale, we apply the tests for location
 difference to transformed observations; see Fried (2012)
 <doi:10.1016/j.csda.2011.02.012>.  Random noise on a small range can be
 added to the original observations in order to hold the significance level
 on data from discrete distributions.  The location tests assume
 homoscedasticity and the scale tests require the location parameters to be
 zero.

Package: r-cran-robocoap
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-markovchain, r-cran-tm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robocoap_0.1-1-1.ca2004.1_all.deb
Size: 20428
MD5sum: d956f24f5da390d2b68ec2867f0a1ac8
SHA1: b48cb4a584ed95f3a84d701c0868d2d55eaab1ca
SHA256: 751ef904374e86332dd43449062a5d7c46d5d76efd6a8652e4cd4f3a65ab85ae
SHA512: cfe14cf3dee96841532488111d0576d24f65a2a19d8619908327bffd46a393bc7f778e843dce88f52f0057f791c21aa4e474e3f6c5d2e461748e100f8b37a80e
Homepage: https://cran.r-project.org/package=Robocoap
Description: CRAN Package 'Robocoap' (Generation of Dynamic Coappearance Matrices Within Texts)
 Generation of dynamic coappearance matrices for elements within a text along
 with utilities to aid in the generation of Gephi dynamic networks.

Package: r-cran-robomit
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plm, r-cran-dplyr, r-cran-ggplot2, r-cran-broom, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robomit_1.0.7-1.ca2004.1_all.deb
Size: 101124
MD5sum: af76ef3a1fc315b7c7fda81aa5555e98
SHA1: ea9aa582befda1cd9431b5e43092e960ef9e71d5
SHA256: 1bebc4782d2abee3fb5681aa0a898b54e6ccac6782514dba96ab7b91c319772a
SHA512: 2da12658a5ee749c990fae7b59c6a24299b60bb9877f23b22b27c9591d64d727d756bf0164d3ac9da517f45a75273a84c7cb4b19eed1c290d81b125ea772bd5e
Homepage: https://cran.r-project.org/package=robomit
Description: CRAN Package 'robomit' (Robustness Checks for Omitted Variable Bias)
 Robustness checks for omitted variable bias. The package includes robustness
 checks proposed by Oster (2019). The 'robomit' package computes i) the
 bias-adjusted treatment correlation or effect and ii) the degree of
 selection on unobservables relative to observables (with respect to the
 treatment variable) that would be necessary to eliminate the result based on
 the framework by Oster (2019). The code is based on the 'psacalc' command in
 'Stata'. Additionally, 'robomit' offers a set of sensitivity analysis and
 visualization functions. See Oster, E. 2019.
 <doi:10.1080/07350015.2016.1227711>. Additionally, see Diegert, P., Masten,
 M. A., & Poirier, A. (2022) for a recent discussion of the topic:
 <doi:10.48550/arXiv.2206.02303>.

Package: r-cran-robotoolbox
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-rcppsimdjson, r-cran-data.table, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-tibble, r-cran-stringi, r-cran-glue, r-cran-dm, r-cran-labelled, r-cran-readr, r-cran-cli
Suggests: r-cran-roxygen2, r-cran-devtools, r-cran-vcr, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-sf, r-cran-mapview
Filename: pool/dists/focal/main/r-cran-robotoolbox_1.4-1.ca2004.1_all.deb
Size: 1042300
MD5sum: dedac76e22d92eb128618e690e875eef
SHA1: 6137c37b40e06782a3e18d6927e6b6ff6dafc204
SHA256: 127097fe136bb5fdbe2053f4a4ee4fb7caa6e4a81293b27905ab0e1ce12699c8
SHA512: e23727d684725c56ccb90a6ea0040a986881dcfb4d0cd1d36fecb00509b34936214c373b398b7c4697a881b1a75e8f0e8075ee248978c8927f6fc542c6c691b7
Homepage: https://cran.r-project.org/package=robotoolbox
Description: CRAN Package 'robotoolbox' (Client for the 'KoboToolbox' API)
 Suite of utilities for accessing and manipulating data from the
 'KoboToolbox' API. 'KoboToolbox' is a robust platform designed for field
 data collection in various disciplines.  This package aims to simplify the
 process of fetching and handling data from the API. Detailed documentation
 for the 'KoboToolbox' API can be found at
 <https://support.kobotoolbox.org/api.html>.

Package: r-cran-robotstxt
Architecture: all
Version: 0.7.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-httr, r-cran-spiderbar, r-cran-future.apply, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat, r-cran-covr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-robotstxt_0.7.15-1.ca2004.1_all.deb
Size: 189216
MD5sum: 60272dd623725b81faf97e0704bdd732
SHA1: ac5091b49263a82f87bcfaf24066c553f70689a8
SHA256: ceba0c77c5b91c48d0ea464d1917a9937bb5708b51b736c5e91b2fd19d801253
SHA512: e4e2333627d246a00c84aa1f9598821e19b4ea6d769f9584715422ff61600426a4b9d248ed8e8b314afe940ed677ea177254215f19b34c9ba3691b380c3f072c
Homepage: https://cran.r-project.org/package=robotstxt
Description: CRAN Package 'robotstxt' (A 'robots.txt' Parser and 'Webbot'/'Spider'/'Crawler'Permissions Checker)
 Provides functions to download and parse 'robots.txt' files.  Ultimately the
 package makes it easy to check if bots (spiders, crawler, scrapers, ...) are
 allowed to access specific resources on a domain.

Package: r-cran-robpc
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-trimcluster
Filename: pool/dists/focal/main/r-cran-robpc_1.4-1.ca2004.1_all.deb
Size: 12868
MD5sum: a26839f86daeabdedfa8419a18a14ded
SHA1: 57a4894815a039d048dadfe6df59c6884c448ffa
SHA256: cca9737424fe15a923954d2b76581da2c8e539f08aff9a17cbdd81b05ee13859
SHA512: 69e9f55cc83e770e9f34fbc8fafda8f67fea66e103ee93ab26a8fd9fa9c0832816905fa977ddf841874d1946f6310b666b9b8b1975a34e4ff8399260f1fe7092
Homepage: https://cran.r-project.org/package=RobPC
Description: CRAN Package 'RobPC' (Robust Panel Clustering Algorithm)
 Performs both classical and robust panel clustering by applying Principal
 Component Analysis (PCA) for dimensionality reduction and clustering via
 standard K-Means or Trimmed K-Means. The method is designed to ensure stable
 and reliable clustering, even in the presence of outliers. Suitable for
 analyzing panel data in domains such as economic research, financial
 time-series, healthcare analytics, and social sciences. The package allows
 users to choose between classical K-Means for standard clustering and
 Trimmed K-Means for robust clustering, making it a flexible tool for various
 applications. For this package, we have benefited from the studies Rencher
 (2003), Wang and Lu (2021) <DOI:10.25236/AJBM.2021.031018>, Cuesta-Albertos
 et al. (1997) <https://www.jstor.org/stable/2242558?seq=1>.

Package: r-cran-robper
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 922
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-robustbase, r-cran-quantreg, r-cran-bb, r-cran-rgenoud
Filename: pool/dists/focal/main/r-cran-robper_1.2.3-1.ca2004.1_all.deb
Size: 787604
MD5sum: e4a7eaa420812176617f1222f5498e09
SHA1: a9e483676180248704845b91a22bf8252ed2d7e3
SHA256: ea22094d1deba1f02a12223e48d0ddbf7474a1f478c5705618c9e72e4a7c37f5
SHA512: 468bce5e844e1df570370a903d8ec699178db0a01da27144d9876be57d0ed0f62f88d1366f82aaa5ffb9102cd026c96fd340e469b3427f3701e308fb76bd541b
Homepage: https://cran.r-project.org/package=RobPer
Description: CRAN Package 'RobPer' (Robust Periodogram and Periodicity Detection Methods)
 Calculates periodograms based on (robustly) fitting periodic functions to
 light curves (irregularly observed time series, possibly with measurement
 accuracies, occurring in astroparticle physics). Three main functions are
 included: RobPer() calculates the periodogram. Outlying periodogram bars
 (indicating a period) can be detected with betaCvMfit(). Artificial light
 curves can be generated using the function tsgen(). For more details see the
 corresponding article: Thieler, Fried and Rathjens (2016), Journal of
 Statistical Software 69(9), 1-36, <doi:10.18637/jss.v069.i09>.

Package: r-cran-robqda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rfast, r-cran-rfast2
Suggests: r-cran-mvcauchy
Filename: pool/dists/focal/main/r-cran-robqda_1.0-1.ca2004.1_all.deb
Size: 23532
MD5sum: 3e2fba6ece4414348f9b08a0ebed23cf
SHA1: 84624a94dc8cba94bb77bdaafecd92c72348b6d4
SHA256: 55007b31c2a7440c536a656eab93cc4825bef6a04ea5967cf0e4310a39544121
SHA512: 0a730d67e46e46bcbca2b75d5c7d9f3153687957cba6bcc8395386373a8ea5dce547986dcfe31b9b15c08fe7700c42f7ce0fb6e481b4bcaae4a368e93de84457
Homepage: https://cran.r-project.org/package=robqda
Description: CRAN Package 'robqda' (Robust Quadratic Discriminant Analysis)
 The minimum covariance determinant estimator is used to perform robust
 quadratic discriminant analysis, including cross-validation. References:
 Friedman J., Hastie T. and Tibshirani R. (2009). "The elements of
 statistical learning", 2nd edition. Springer, Berlin.
 <doi:10.1007/978-0-387-84858-7>.

Package: r-cran-robreg3s
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gse, r-cran-mass, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-robreg3s_0.3-1-1.ca2004.1_all.deb
Size: 47472
MD5sum: 06e4d62d9b078240aff395f6fff677a7
SHA1: 6b9c8c46a4c40e1693742637c1444a6e9ff04bdd
SHA256: 5dc7e7792e6d29796451517e5e3a098e137f4f6c9deba7e8e063130a99514a77
SHA512: d8f752ef73fc54a92d695766a0edcd649e3ed4d7f485c14d5b2516701428219317b612fb9dee7053a2ee3897335690a074ecc4cafa95ab53e91e027c770403ac
Homepage: https://cran.r-project.org/package=robreg3S
Description: CRAN Package 'robreg3S' (Three-Step Regression and Inference for Cellwise and CasewiseContamination)
 Three-step regression and inference for cellwise and casewise contamination.

Package: r-cran-robrex
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robrex_1.2.0-1.ca2004.1_all.deb
Size: 201596
MD5sum: 5d93637833cb9fe9eea67d5e341bedf4
SHA1: 2a261a733ff0844a6d4582aa04e38044635d6cb2
SHA256: 40908e96862b55484e0685d17690572609a0bc2e4489e1b8bacf5889361148cf
SHA512: 1fb057917df7823c80d0ce89cc543e11499b989b783ed5c73928d05336df54e80f0043a2bdbd74281fb1c6726cfa5a9d244a1de8b06fa6f5b99d9e7c5ddaf626
Homepage: https://cran.r-project.org/package=RobRex
Description: CRAN Package 'RobRex' (Optimally Robust Influence Curves for Regression and Scale)
 Functions for the determination of optimally robust influence curves in case
 of linear regression with unknown scale and standard normal distributed
 errors where the regressor is random.

Package: r-cran-robrsvd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robrsvd_1.0-1.ca2004.1_all.deb
Size: 34316
MD5sum: 00a487c8c9df0924c3427f4093d82512
SHA1: abbaceb48dabdd07a42307e36793a033e135328e
SHA256: 567cf6477ac2668c4d3d7a158e99b903709456b816b1e1ae681c4b7efc16ce53
SHA512: 264e5cb4aa0dfb999086c4d31f1334ac22e8b06858630e773c130674f45d334e383c0400e3de71f80e8fa23560b2714fe416b16696ef88035ba2f2e8f530d3c8
Homepage: https://cran.r-project.org/package=RobRSVD
Description: CRAN Package 'RobRSVD' (Robust Regularized Singular Value Decomposition)
 This package provides the function to calculate SVD, regularized SVD, robust
 SVD and robust regularized SVD method. The robust SVD methods use
 alternating iteratively reweighted least squares methods. The regularized
 SVD uses generalized cross validation to choose the optimal smoothing
 parameters.

Package: r-cran-robservable
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-gapminder, r-cran-palmerpenguins, r-cran-knitr, r-cran-rmarkdown, r-cran-readr, r-cran-dplyr, r-cran-tidyr, r-cran-lubridate, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-robservable_0.2.2-1.ca2004.1_all.deb
Size: 124188
MD5sum: e78bf8b5166e2a0b665e1a9190fbaf74
SHA1: 6c42c0e0cdfa57de7859d1122a0419b35f6ab348
SHA256: 299e23733b86e2c1952f2ee57e6cbdf787520414ccb0bb240bafaffd86403b15
SHA512: 4008abf4592cce0383fc3cdb2db0d518f02df85232203bee0635300138be83f2f38729abb923244d7f4e08b36b633f7f3f79aadf39a49496d2074e0cbba75a01
Homepage: https://cran.r-project.org/package=robservable
Description: CRAN Package 'robservable' (Import an Observable Notebook as HTML Widget)
 Allows loading and displaying an Observable notebook (online JavaScript
 notebooks powered by <https://observablehq.com>) as an HTML Widget in an R
 session, 'shiny' application or 'rmarkdown' document.

Package: r-cran-robumeta
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-clubsandwich, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-robumeta_2.1-1.ca2004.1_all.deb
Size: 520104
MD5sum: 5339f24e829e5e02050958be898075c8
SHA1: f9d34fb5bc7301090b5febf54a05fe1517ebf39d
SHA256: e41bfc1f97649ce1b3157fb368ba11bf64b4bd44176288a91978e59f8bbc2d21
SHA512: 80ee9e0fd34df7334dc9e1a9224121e11e3d9280cdb8ba4075e7046b1d210c2a90e46a85ede5479b936ded5088871dea68faa59ae73a716a6aeea0c65f5603d8
Homepage: https://cran.r-project.org/package=robumeta
Description: CRAN Package 'robumeta' (Robust Variance Meta-Regression)
 Functions for conducting robust variance estimation (RVE) meta-regression
 using both large and small sample RVE estimators under various weighting
 schemes. These methods are distribution free and provide valid point
 estimates, standard errors and hypothesis tests even when the degree and
 structure of dependence between effect sizes is unknown. Also included are
 functions for conducting sensitivity analyses under correlated effects
 weighting and producing RVE-based forest plots.

Package: r-cran-robust2sls
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-exactci, r-cran-foreach, r-cran-ivreg, r-cran-mass, r-cran-mathjaxr, r-cran-pracma
Suggests: r-cran-covr, r-cran-dofuture, r-cran-doparallel, r-cran-dorng, r-cran-future, r-cran-ggplot2, r-cran-ivgets, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robust2sls_0.2.3-1.ca2004.1_all.deb
Size: 346876
MD5sum: 5d398af89d45862797d30120e1eecf7c
SHA1: 4c4284254a9de5c9e2f6f0c2775f1887878b6e8f
SHA256: 486d586c937b0e2c582fc898edaaa64cd6568362a1b50a612fbb746bb92c9bda
SHA512: ca5bc46175ddedae989017f5d976e1f885f4b544f6db44308cf6dfd88c60eac139fcb46dbdd353ecf8dc2ef41d244bad0c8e2e95e951067a3f99b6248d8cc063
Homepage: https://cran.r-project.org/package=robust2sls
Description: CRAN Package 'robust2sls' (Outlier Robust Two-Stage Least Squares Inference and Testing)
 An implementation of easy tools for outlier robust inference in two-stage
 least squares (2SLS) models. The user specifies a reference distribution
 against which observations are classified as outliers or not.  After
 removing the outliers, adjusted standard errors are automatically provided.
 Furthermore, several statistical tests for the false outlier detection rate
 can be calculated. The outlier removing algorithm can be iterated a fixed
 number of times or until the procedure converges. The algorithms and robust
 inference are described in more detail in Jiao (2019)
 <https://drive.google.com/file/d/1qPxDJnLlzLqdk94X9wwVASptf1MPpI2w/view>.

Package: r-cran-robustanova
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-peip, r-cran-optimbase
Filename: pool/dists/focal/main/r-cran-robustanova_0.3.0-1.ca2004.1_all.deb
Size: 36176
MD5sum: 3f4d59660e74dbc11e996d2dae40b365
SHA1: 98af4fdcd2da1ce381e7cd2bda5542bcf05e3bf4
SHA256: 8d50cc0d663f5dbb38b0a4415cf1c95eeb630470a291a8ddc4ccc79c5c78f9d2
SHA512: 64f1e535cab3c0d92e7bdaf6730a733af9179ddc722c68be6ad451600d6d38c04984cba8ac431c85a365d1e9f65265b3515b99710ebd628828706d201323aeab
Homepage: https://cran.r-project.org/package=RobustANOVA
Description: CRAN Package 'RobustANOVA' (Robust One-Way ANOVA Tests under Heteroscedasticity andNonnormality)
 Robust tests (RW, RPB and RGF) are provided for testing the equality of
 several long-tailed symmetric (LTS) means when the variances are unknown and
 arbitrary. RW, RPB and RGF tests are robust versions of Welch's F test
 proposed by Welch (1951) <doi:10.2307/2332579>, parametric bootstrap test
 proposed by Krishnamoorthy et. al (2007) <doi:10.1016/j.csda.2006.09.039>;
 and generalized F test proposed by Weerahandi (1995) <doi:10.2307/2532947>;,
 respectively. These tests are based on the modified maximum likelihood (MML)
 estimators proposed by Tiku(1967, 1968) <doi:10.2307/2333859>,
 <doi:10.1080/01621459.1968.11009228>.

Package: r-cran-robustbetareg
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-betareg, r-cran-rmpfr, r-cran-rstudioapi, r-cran-crayon, r-cran-pracma, r-cran-numderiv, r-cran-formula, r-cran-robustbase, r-cran-zoo, r-cran-bbmisc, r-cran-mass, r-cran-misctools, r-cran-matrix
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robustbetareg_0.3.0-1.ca2004.1_all.deb
Size: 227860
MD5sum: c4b6f91992884e2ea503ee655bf25f26
SHA1: 333e2b718c74e67aef461c480a69371ee988dcdc
SHA256: 59f03cf902351d425888b97bdbd4af3395047fa397eb5c543e2e47c232fa5fac
SHA512: aac738c9a58a1e7b20c6c2425183c100d4345346f6d224669ac449f0d38ef811c95984dd21592d32d26a88ad637ef2ba620ad761e7fa91743ddc66c11690ccf0
Homepage: https://cran.r-project.org/package=robustbetareg
Description: CRAN Package 'robustbetareg' (Robust Beta Regression)
 Robust estimators for the beta regression, useful for modeling bounded
 continuous data. Currently, four types of robust estimators are supported.
 They depend on a tuning constant which may be fixed or selected by a
 data-driven algorithm also implemented in the package. Diagnostic tools
 associated with the fitted model, such as the residuals and goodness-of-fit
 statistics, are implemented. Robust Wald-type tests are available. More
 details about robust beta regression are described in Maluf et al. (2022)
 <arXiv:2209.11315>.

Package: r-cran-robustbf
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robustbf_0.2.0-1.ca2004.1_all.deb
Size: 24360
MD5sum: 71c34f53a01e8a869cf9c8840560d4ed
SHA1: 3f7614cbf16a2efd3b4c61ddab8b9bf8596b705e
SHA256: bc4ba07407057516a050167121e0d3f0f73d3e5801a25ec9d3e724ccb4424031
SHA512: e10f433c56dd44008522e34f0cb9b85db185a95a1939f3a35de6f29a28699a091555272f6944aa4f2414769a8b1ce2cf5b89e7138da8d033054066cf94ec45ad
Homepage: https://cran.r-project.org/package=RobustBF
Description: CRAN Package 'RobustBF' (Robust Solution to the Behrens-Fisher Problem)
 Robust tests (RW and RF) are provided for testing the equality of two
 long-tailed symmetric (LTS) means when the variances are unknown and
 arbitrary. RW test is a robust version of Welch's two sample t test and the
 RF is a robust fiducial based test. The RW and RF tests are proposed using
 the adaptive modified maximum likelihood (AMML) estimators derived by Tiku
 and Surucu (2009) <doi:10.1016/j.spl.2008.12.001> and Donmez (2010)
 <https://open.metu.edu.tr/bitstream/handle/11511/19440/index.pdf>.

Package: r-cran-robustda
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mclust, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-robustda_1.2-1.ca2004.1_all.deb
Size: 23496
MD5sum: af74c73d4faedab9d78abdb414e668aa
SHA1: f7b2ada9bcfd49fc0e5fe647f78cb063fbfe9dcc
SHA256: 5777c174688a5f69fc218c10de25b7fbf4c6cd5d2406344e1fcda6b02c6c3c89
SHA512: 4ed256d449e9652b5df73459bb87508db5d9864ea4114599606fe11735591ee3dd65008dc521bbf1c7d32534c8b59ea018959905af463001c5c676f28730f496
Homepage: https://cran.r-project.org/package=robustDA
Description: CRAN Package 'robustDA' (Robust Mixture Discriminant Analysis)
 Robust mixture discriminant analysis (RMDA), proposed in Bouveyron & Girard,
 2009 <doi:10.1016/j.patcog.2009.03.027>, allows to build a robust supervised
 classifier from learning data with label noise. The idea of the proposed
 method is to confront an unsupervised modeling of the data with the
 supervised information carried by the labels of the learning data in order
 to detect inconsistencies. The method is able afterward to build a robust
 classifier taking into account the detected inconsistencies into the labels.

Package: r-cran-robustfa
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1741
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rrcov
Suggests: r-cran-lattice, r-cran-cluster, r-cran-mclust, r-cran-mass, r-cran-ellipse, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-robustfa_1.1-0-1.ca2004.1_all.deb
Size: 1366420
MD5sum: 0f8610655e0d90eb984d2ddaa8028751
SHA1: fec2c9770de2f9d7beb8cb03484e174191f357cc
SHA256: d250a598cde34bd34e74dd7fc474f9149fe021429c52b370ca0492f19a448b2f
SHA512: 1f3df07b5ffe7ee48afd52c07705dd1d6d2da930786af319d959f863a8284db87e375b5401286e12d635ab521b70222f9ee9b89c88564ee27366a795d44b18cc
Homepage: https://cran.r-project.org/package=robustfa
Description: CRAN Package 'robustfa' (Object Oriented Solution for Robust Factor Analysis)
 Outliers virtually exist in any datasets of any application field.  To avoid
 the impact of outliers, we need to use robust estimators.  Classical
 estimators of multivariate mean and covariance matrix are the sample mean
 and the sample covariance matrix. Outliers will affect the sample mean and
 the sample covariance matrix, and thus they will affect the classical factor
 analysis which depends on the classical estimators (Pison, G., Rousseeuw,
 P.J., Filzmoser, P. and Croux, C. (2003)
 <doi:10.1016/S0047-259X(02)00007-6>).  So it is necessary to use the robust
 estimators of the sample mean and the sample covariance matrix. There are
 several robust estimators in the literature: Minimum Covariance Determinant
 estimator, Orthogonalized Gnanadesikan-Kettenring, Minimum Volume Ellipsoid,
 M, S, and Stahel-Donoho.  The most direct way to make multivariate analysis
 more robust is to replace the sample mean and the sample covariance matrix
 of the classical estimators to robust estimators (Maronna, R.A., Martin, D.
 and Yohai, V. (2006) <doi:10.1002/0470010940>) (Todorov, V. and Filzmoser,
 P. (2009) <doi:10.18637/jss.v032.i03>), which is our choice of robust factor
 analysis. We created an object oriented solution for robust factor analysis
 based on new S4 classes.

Package: r-cran-robustgarch
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rsolnp, r-cran-nloptr, r-cran-rugarch, r-cran-zoo, r-cran-xts
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-pcra
Filename: pool/dists/focal/main/r-cran-robustgarch_0.4.2-1.ca2004.1_all.deb
Size: 78432
MD5sum: db1b4bc552840444f8043859f1b0cc12
SHA1: a89a46254c85ed9f36adf8da52eed956af18d46c
SHA256: dd195109bc3b6dc8f9e5178a86604b15fde198a95ea525a7b820adcf187c0711
SHA512: aa560397c7f648eef07bd5aa3cd33e655976019e555d29d252a6395dc0656b08ce11ab2636ced4cb10090d25e5115a1ecc1deccb34036e1a67654e746cbabe59
Homepage: https://cran.r-project.org/package=robustGarch
Description: CRAN Package 'robustGarch' (Robust Garch(1,1) Model)
 A method for modeling robust generalized autoregressive conditional
 heteroskedasticity (Garch) (1,1) processes, providing robustness toward
 additive outliers instead of innovation outliers. This work is based on the
 methodology described by Muler and Yohai (2008)
 <doi:10.1016/j.jspi.2007.11.003>.

Package: r-cran-robustiv
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-matrix, r-cran-igraph, r-cran-intervals, r-cran-cvxr
Filename: pool/dists/focal/main/r-cran-robustiv_0.2.5-1.ca2004.1_all.deb
Size: 131860
MD5sum: 47bad253d8f54782e366a9dca95ae0b8
SHA1: 8bf0d67762872e1fec03859de2a260dee0fccfa2
SHA256: f472c281d6f07e8e6580e0eafa308e6cef27a3f75db23ca33df1ade21320e168
SHA512: ab1f6bbfdc1d563ecfd59d83dea71e162fb6aed4317ead4a5690cd8dccdce3a620019e06722751aed6c9ca13a02a276e7ef84f10b3307162453d32ab9715971e
Homepage: https://cran.r-project.org/package=RobustIV
Description: CRAN Package 'RobustIV' (Robust Instrumental Variable Methods in Linear Models)
 Inference for the treatment effect with possibly invalid instrumental
 variables via TSHT('Guo et al.' (2016) <arXiv:1603.05224>) and
 SearchingSampling('Guo' (2021) <arXiv:2104.06911>), which are effective for
 both low- and high-dimensional covariates and instrumental variables; test
 of endogeneity in high dimensions ('Guo et al.' (2016) <arXiv:1609.06713>).

Package: r-cran-robustlinearreg
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robustlinearreg_1.2.0-1.ca2004.1_all.deb
Size: 17760
MD5sum: 8e2c442679ead0c5f0e7bbb33cf985c3
SHA1: 9af9cba9328eb3ded62e4877b5037c750c38781d
SHA256: 2f1b917e7e320155ae680dd76d3aeedb2c63f6b262a5fa5360a1903a8d7a0b01
SHA512: 9ea5d9736c40deb1759653070e97d830da0468c89eac4ac15ae3b47f42d3dfff1811e1eb1b56f1ccb862bd92565fced2907a18506f69945fd4df39b4e0af55f0
Homepage: https://cran.r-project.org/package=RobustLinearReg
Description: CRAN Package 'RobustLinearReg' (Robust Linear Regressions)
 Provides an easy way to compute the Theil Sehn Regression method and also
 the Siegel Regression Method which are both robust methods base on the
 median of slopes between all pairs of data. In contrast with the least
 squared linear regression, these methods are not sensitive to outliers.
 Theil, H. (1992) <doi:10.1007/978-94-011-2546-8_20>, Sen, P. K. (1968)
 <doi:10.1080/01621459.1968.10480934>.

Package: r-cran-robustlm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-robustlm_0.1.0-1.ca2004.1_all.deb
Size: 157432
MD5sum: 48f67a238dccd6d1f29aa1d0ee942637
SHA1: d871d1f3ed96e45832c28b7c4a1e4b1f77f28275
SHA256: b3036a15c055e8f44d0808a201655cf68eaf097ee42e90536f0e1f805e844320
SHA512: 19863214cd9b98009e57f27e76ebdc99cdf4c52167e4077c0ecace7a54b783e16f692f0cf447e02df122f8ce076055a9bc487a59f7f107064ab569451c97e57d
Homepage: https://cran.r-project.org/package=robustlm
Description: CRAN Package 'robustlm' (Robust Variable Selection with Exponential Squared Loss)
 Computationally efficient tool for performing variable selection and
 obtaining robust estimates, which implements robust variable selection
 procedure proposed by Wang, X., Jiang, Y., Wang, S., Zhang, H. (2013)
 <doi:10.1080/01621459.2013.766613>. Users can enjoy the near optimal,
 consistent, and oracle properties of the procedures.

Package: r-cran-robustmeta
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-robustmeta_1.2-1-1.ca2004.1_all.deb
Size: 34044
MD5sum: bab6660a8569388c958edddcb7a83cb6
SHA1: 735693d86660ffa82036f8dcb26e55f15f11f828
SHA256: dbc44968c92f442bcd0f6efd8f8df35bcad8c42c8ad2af5d623e5cf845d1c57b
SHA512: 107c38c544895d1728008d1f2e82372a2bc48a85895f40f065c27337139a3eb93aa154448ef87a531d05f43c38b426ea43aab48d24ec482d0f027ba53d9034f1
Homepage: https://cran.r-project.org/package=robustmeta
Description: CRAN Package 'robustmeta' (Robust Inference for Meta-Analysis with Influential OutlyingStudies)
 Robust inference methods for fixed-effect and random-effects models of
 meta-analysis are implementable. The robust methods are developed using the
 density power divergence that is a robust estimating criterion developed in
 machine learning theory, and can effectively circumvent biases and
 misleading results caused by influential outliers. The density power
 divergence is originally introduced by Basu et al. (1998)
 <doi:10.1093/biomet/85.3.549>, and the meta-analysis methods are developed
 by Noma et al. (2022) <forthcoming>.

Package: r-cran-robustprediction
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 332
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-mboost, r-cran-mlr, r-cran-ranger, r-cran-e1071, r-cran-proc
Filename: pool/dists/focal/main/r-cran-robustprediction_0.1.7-1.ca2004.1_all.deb
Size: 300152
MD5sum: 780e2bc809a5d7f899a9395b733bdb66
SHA1: 8b752c8e7c637e76e5830207ab7941dff6833b44
SHA256: 3b16e64a2fda5dd10a0b3988ef2a61ca50e3ff0684290b9b3e065ce5c930f549
SHA512: d6b62c4675c1dc7fc872379d101ea6d9ba592ed74e38f6810ee4ebdba239dbe80a65e5cac273956eb1e643c36adfc2fc0689cb1819252e62dea38b272cf16ec3
Homepage: https://cran.r-project.org/package=RobustPrediction
Description: CRAN Package 'RobustPrediction' (Robust Tuning and Training for Cross-Source Prediction)
 Provides robust parameter tuning and model training for predictive models
 applied across data sources where the data distribution varies slightly from
 source to source. This package implements three primary tuning methods:
 cross-validation-based internal tuning, external tuning, and the
 'RobustTuneC' method. External tuning includes a conservative option where
 parameters are tuned internally on the training data and validating on an
 external dataset, providing a slightly pessimistic estimate. It supports
 Lasso, Ridge, Random Forest, Boosting, and Support Vector Machine
 classifiers. Currently, only binary classification is supported. The
 response variable must be the first column of the dataset and a factor with
 exactly two levels. The tuning methods are based on the paper by Nicole
 Ellenbach, Anne-Laure Boulesteix, Bernd Bischl, Kristian Unger, and Roman
 Hornung (2021) "Improved Outcome Prediction Across Data Sources Through
 Robust Parameter Tuning" <doi:10.1007/s00357-020-09368-z>.

Package: r-cran-robustrankaggreg
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-robustrankaggreg_1.2.1-1.ca2004.1_all.deb
Size: 49628
MD5sum: 3191165caee659b5b2bfac0dd20ce0f1
SHA1: 8022c9ef871162c66aa712ff7ea220c784a9bd6f
SHA256: 1bc72480cb23bb2930f743f587f537ed1639257aed0f6f4db87f030cc78deecc
SHA512: 438bd532250c1cc38b109e61913d6e316c3da3f54b7ac7e6f9e7818b5b99c9b500523e1f978ad2cd6a542a26316a2b573dcc016bfc73bbfc4bf577500c21d7e3
Homepage: https://cran.r-project.org/package=RobustRankAggreg
Description: CRAN Package 'RobustRankAggreg' (Methods for Robust Rank Aggregation)
 Methods for aggregating ranked lists, especially lists of genes. It
 implements the Robust Rank Aggregation Kolde et al (2012)
 <doi:10.1093/bioinformatics/btr709> and some other simple algorithms for the
 task. RRA method uses a probabilistic model for aggregation that is robust
 to noise and also facilitates the calculation of significance probabilities
 for all the elements in the final ranking.

Package: r-cran-robustrao
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-gmp, r-cran-iterpc, r-cran-quadprog, r-cran-igraph, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-robustrao_1.0-5-1.ca2004.1_all.deb
Size: 193184
MD5sum: eacb91e812dca6993b50185daf0d4e66
SHA1: d86418b0aab6d948ffdec2941a8f9d6385129dbc
SHA256: 22f607b5bc67455b9202e4eb8aa1dae1adf37f89b379f2df84540e2fcf41c1ef
SHA512: f2b9bce211e77e821b4d2dcefa104058263d587797bbcd6f313de1b94c17163343261917ebf413bd31d132ebe0c1ab9053ed89053316e7fa9999e8b90437c4b9
Homepage: https://cran.r-project.org/package=robustrao
Description: CRAN Package 'robustrao' (An Extended Rao-Stirling Diversity Index to Handle Missing Data)
 A collection of functions to compute the Rao-Stirling diversity index
 (Porter and Rafols, 2009) <DOI:10.1007/s11192-008-2197-2> and its extension
 to acknowledge missing data (i.e., uncategorized references) by calculating
 its interval of uncertainty using mathematical optimization as proposed in
 Calatrava et al. (2016) <DOI:10.1007/s11192-016-1842-4>.  The Rao-Stirling
 diversity index is a well-established bibliometric indicator to measure the
 interdisciplinarity of scientific publications. Apart from the obligatory
 dataset of publications with their respective references and a taxonomy of
 disciplines that categorizes references as well as a measure of similarity
 between the disciplines, the Rao-Stirling diversity index requires a
 complete categorization of all references of a publication into disciplines.
 Thus, it fails for a incomplete categorization; in this case, the robust
 extension has to be used, which encodes the uncertainty caused by missing
 bibliographic data as an uncertainty interval.  Classification / ACM - 2012:
 Information systems ~ Similarity measures, Theory of computation ~ Quadratic
 programming, Applied computing ~ Digital libraries and archives.

Package: r-cran-robustsur
Architecture: all
Version: 0.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-robustbase, r-cran-robreg3s, r-cran-matrix, r-cran-gse
Suggests: r-cran-systemfit
Filename: pool/dists/focal/main/r-cran-robustsur_0.0-8-1.ca2004.1_all.deb
Size: 46528
MD5sum: 284cca2b8be1e8e00a24cf07709e431e
SHA1: 9fd18a28bb686291e5a21984762f77925d41f6ae
SHA256: d2bd8da850f69813dca5fb3c94e337fd50fb88edeb7801b3efde0030f1b4be15
SHA512: 213780cf5ce21eccdbe4ac76802d56968b54f322d9f12cc8b1b2d2c78b6c0625f6ae56dd2d183a44521007d3d2b196e0a0c890a1781f2a6e03eea81dd6f84e02
Homepage: https://cran.r-project.org/package=robustsur
Description: CRAN Package 'robustsur' (Robust Estimation for Seemingly Unrelated Regression Models)
 Data sets are often corrupted by outliers. When data are multivariate
 outliers can be classified as case-wise or cell-wise. The latters are
 particularly challenge to handle. We implement a robust estimation procedure
 for Seemingly Unrelated Regression Models which is able to cope well with
 both type of outliers. Giovanni Saraceno, Fatemah Alqallaf, Claudio
 Agostinelli (2021) <doi:10.48550/arXiv.2107.00975>.

Package: r-cran-robustx
Architecture: all
Version: 1.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-robustbase
Suggests: r-cran-mass, r-cran-lattice, r-cran-pcapp
Filename: pool/dists/focal/main/r-cran-robustx_1.2-7-1.ca2004.1_all.deb
Size: 121516
MD5sum: b6e3710b107eae0a39471f6688434c74
SHA1: a6ffb43d18ae3ffb7b22fd7d46bc888d47c9fcb8
SHA256: 1230d9b70ec8c7110b02ba73e1aab2eb19fdeea8464c76f602557407e26438c1
SHA512: 609dfb2f0bf5bf13bb50653e4f3ce1ca37c77b67c5c0b518cffe785d6a3a847262980b1c54812e24905b4abfa2fdc60ecc3cb5d6fbfd299b979b8b4466e8888b
Homepage: https://cran.r-project.org/package=robustX
Description: CRAN Package 'robustX' ('eXtra' / 'eXperimental' Functionality for Robust Statistics)
 Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality
 for Robust Statistics.  Hence methods which are not well established, often
 related to methods in package 'robustbase'.  Amazingly, 'BACON()',
 originally by Billor, Hadi, and Velleman (2000)
 <doi:10.1016/S0167-9473(99)00101-2> has become established in places.  The
 "barrow wheel" `rbwheel()` is from Stahel and Mächler (2009)
 <doi:10.1111/j.1467-9868.2009.00706.x>.

Package: r-cran-robvis
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2097
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-robvis_0.3.0-1.ca2004.1_all.deb
Size: 1220436
MD5sum: a3e4416e9ffec5eda03d29a3d3286823
SHA1: 5ed89cdf62518cf2604a71cd6cdbf03fec37bacc
SHA256: f0da68c792195415fe4a94721d40ff0980e13f89c6a0a830d82576aaa070df03
SHA512: 5dfb75cba43984408c764702ee5dd50b261ab148313a3a0258c62a7e94613dfba7b34a0b7a023381b3b43f0152cc4b1d796d08800e1cf62377944cb2c3b377b8
Homepage: https://cran.r-project.org/package=robvis
Description: CRAN Package 'robvis' (Visualize the Results of Risk-of-Bias (ROB) Assessments)
 Helps users in quickly visualizing risk-of-bias assessments performed as
 part of a systematic review. It allows users to create weighted bar-plots of
 the distribution of risk-of-bias judgments within each bias domain, in
 addition to traffic-light plots of the specific domain-level judgments for
 each study. The resulting figures are of publication quality and are
 formatted according the risk-of-bias assessment tool use to perform the
 assessments. Currently, the supported tools are ROB2.0 (for randomized
 controlled trials; Sterne et al (2019) <doi:10.1136/bmj.l4898>), ROBINS-I
 (for non-randomised studies of interventions; Sterne et al (2016)
 <doi:10.1136/bmj.i4919>), and QUADAS-2 (for diagnostic accuracy studies;
 Whiting et al (2011) <doi:10.7326/0003-4819-155-8-201110180-00009>).

Package: r-cran-robyn
Architecture: all
Version: 3.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1691
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dorng, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-ggridges, r-cran-glmnet, r-cran-jsonlite, r-cran-lares, r-cran-lubridate, r-cran-minpack.lm, r-cran-nloptr, r-cran-patchwork, r-cran-prophet, r-cran-reticulate, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-robyn_3.11.1-1.ca2004.1_all.deb
Size: 1547228
MD5sum: 54935fe0809bb9a63ece58955f899785
SHA1: 958d93ad5a8f9701196f43c64b018971efbb019a
SHA256: 370a79ca43320daeda90d2b3ec9dec23b82cd1f025ca388fb388992febf76ee2
SHA512: 2672b10201ab8a1e77d5cc6310c792342f290f7776f673a4996426f76bcc4d1407e3924382fb3734ee5babbbd5c856a72ddf1ef13800888b1583357ade55abd3
Homepage: https://cran.r-project.org/package=Robyn
Description: CRAN Package 'Robyn' (Semi-Automated Marketing Mix Modeling (MMM) from Meta MarketingScience)
 Semi-Automated Marketing Mix Modeling (MMM) aiming to reduce human bias by
 means of ridge regression and evolutionary algorithms, enables actionable
 decision making providing a budget allocation and diminishing returns curves
 and allows ground-truth calibration to account for causation.

Package: r-cran-rocaggregator
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-mockery, r-cran-mockr, r-cran-knitr, r-cran-rmarkdown, r-cran-rocr, r-cran-proc, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-rocaggregator_1.0.1-1.ca2004.1_all.deb
Size: 43176
MD5sum: d3a2636e3ef9f7f03861c47670672f5b
SHA1: 2880272ac003707cb7287bce84f38652e8ff9b79
SHA256: 2eeec356436d80aeb58ef8c49033baaa99dfa6a576af2cb3b3156298432dbbc4
SHA512: 14778258b0541a0ebd00469d34f23ae314570c42da0284304fd88984237d98e4c71bf05aceb0bef6d7a0a7f9e0f0bb462c559cf23dc602327fd5cf259d400c82
Homepage: https://cran.r-project.org/package=ROCaggregator
Description: CRAN Package 'ROCaggregator' (Aggregate Multiple ROC Curves into One Global ROC)
 Aggregates multiple Receiver Operating Characteristic (ROC) curves obtained
 from different sources into one global ROC. Additionally, it’s also possible
 to calculate the aggregated precision-recall (PR) curve.

Package: r-cran-rocbc
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1786
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma, r-cran-clinfun, r-cran-splancs, r-cran-mvtnorm, r-cran-formattable, r-cran-mrmcaov, r-cran-proc
Suggests: r-cran-knitr, r-cran-markdown, r-cran-matlab
Filename: pool/dists/focal/main/r-cran-rocbc_3.1.0-1.ca2004.1_all.deb
Size: 1005792
MD5sum: e68ad1c191230fd88b268e8e90b7b602
SHA1: cb2acb14db1340dd904c35734a7c97e847d9279f
SHA256: b383953a9f8a766114b0b83bfd1b4d5f0e3b06f7a37c91f029b27f38eb8ba686
SHA512: 6e8b9b65ec9485215a4e1fe85096410717ab915133ad943f019d33ce5aa470cae85ba1568b4393a09cc68b1f08b1a94deaab9e6afed3459d361a0283cab894c2
Homepage: https://cran.r-project.org/package=rocbc
Description: CRAN Package 'rocbc' (Statistical Inference for Box-Cox Based Receiver OperatingCharacteristic Curves)
 Generation of Box-Cox based ROC curves and several aspects of inferences and
 hypothesis testing. Can be used when inferences for one biomarker (Bantis
 LE, Nakas CT, Reiser B. (2018)<doi:10.1002/bimj.201700107>) are of interest
 or when comparisons of two correlated biomarkers (Bantis LE, Nakas CT,
 Reiser B. (2021)<doi:10.1002/bimj.202000128>) are of interest. Provides
 inferences and comparisons around the AUC, the Youden index, the sensitivity
 at a given specificity level (and vice versa), the optimal operating point
 of the ROC curve (in the Youden sense), and the Youden based cutoff.

Package: r-cran-rocc
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-rocc_1.3-1.ca2004.1_all.deb
Size: 37604
MD5sum: 672416543483bb7d3dd65f4ded9a1603
SHA1: 5d1818dcbc33ff37e3f09fdef65234705cfcad44
SHA256: b2417be7baa849f1c5500478ac1818ca9adf25ada72408c637aadab615636d48
SHA512: 3cbb37aa090963aea55b453365adeeae7203cd1875ad2f312c906578b168a1e55b1abcb4c81f29895b8ea7d51d65a5ad8413bbb826737e943d3a1db150b73d50
Homepage: https://cran.r-project.org/package=rocc
Description: CRAN Package 'rocc' (ROC Based Classification)
 Functions for a classification method based on receiver operating
 characteristics (ROC). Briefly, features are selected according to their
 ranked AUC value in the training set. The selected features are merged by
 the mean value to form a meta-gene. The samples are ranked by their
 meta-gene value and the meta-gene threshold that has the highest accuracy in
 splitting the training samples is determined. A new sample is classified by
 its meta-gene value relative to the threshold. In the first place, the
 package is aimed at two class problems in gene expression data, but might
 also apply to other problems.

Package: r-cran-roccv
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-proc
Filename: pool/dists/focal/main/r-cran-roccv_1.2-1.ca2004.1_all.deb
Size: 23668
MD5sum: 1c69a8fa9daa8ad3bea18a7324dc2325
SHA1: bd10c2f11e8bfe5f81474940a7facad8ab660866
SHA256: d4f92b9fa8e18a4d689844f01df58c119b616cebab755bf1e9aedfdc5ec3fb23
SHA512: 6b75be4c67b8ac6befa4c1507e166a66de9ed84d64c694d8f8551b84f4cf893b087f4a182270d4f53ba6e1e5cf465fa2158e44180a4e86f8323676f3c4577a00
Homepage: https://cran.r-project.org/package=roccv
Description: CRAN Package 'roccv' (ROC for Cross Validation Results)
 Cross validate large genetic data while specifying clinical variables that
 should always be in the model using the function cv(). An ROC plot from the
 cross validation data with AUC can be obtained using rocplot(), which also
 can be used to compare different models. Framework was built to handle
 genetic data, but works for any data.

Package: r-cran-rocean
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ff
Filename: pool/dists/focal/main/r-cran-rocean_1.0-1.ca2004.1_all.deb
Size: 44048
MD5sum: 78ec7188e64d0fbe31ca03b1e004fa92
SHA1: 6ca34968a5505f3fd806ee9e421f5b505bf0e70c
SHA256: 7af839ae2415c3ab1c9dd796336ca1e9fa36ea36fa626dfe8264b03e9203d903
SHA512: bb83604650b899722c4cf69d5fe89f159917edfd4d83624eb9a92360c76dcb175292d358fc2970b1bf42c3c765a23303de3bab6dffda8907e9df025cf3931c48
Homepage: https://cran.r-project.org/package=rOCEAN
Description: CRAN Package 'rOCEAN' (Two-Way Feature Set Testing for Multi-Omics)
 For any two way feature-set from a pair of pre-processed omics data, 3
 different true discovery proportions (TDP), namely pairwise-TDP, column-TDP
 and row-TDP are calculated. Due to embedded closed testing procedure, the
 choice of feature-sets can be changed infinite times and even after seeing
 the data without any change in type I error rate. For more details refer to
 Ebrahimpoor et al., (2024) <doi:10.48550/arXiv.2410.19523>.

Package: r-cran-rocftp.mms
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vctrs
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rocftp.mms_1.0.0-1.ca2004.1_all.deb
Size: 20072
MD5sum: ced2fa656f7162e1df61f6c5bb3da41c
SHA1: 22dc21921d4f3677cf0e9226d1c373b45f83c1e1
SHA256: 6fe25fd33adfd3ae942fa1b6220e0c55ce7e689b439afaf2c8309122b754106d
SHA512: b74e4d441abb900336943760cba8e4d916d5677bc492aabd5b91df5432ebe2aba465f294e30c2f6d8840fd3d99f5558d3b7bd016c79560cfedc96a99cbefd4fe
Homepage: https://cran.r-project.org/package=ROCFTP.MMS
Description: CRAN Package 'ROCFTP.MMS' (Perfect Sampling)
 The algorithm provided in this package generates perfect sample for unimodal
 or multimodal posteriors. Read Once Coupling From The Past, with
 Metropolis-Multishift is used to generate a perfect sample for a given
 posterior density based on the two extreme starting paths, minimum and
 maximum of the most interest range of the posterior. It uses the monotone
 random operation of multishift coupler which allows to sandwich all of the
 state space in one point. It means both Markov Chains starting from the
 maximum and minimum will be coalesced. The generated sample is independent
 from the starting points. It is useful for mixture distributions too. The
 output of this function is a real value as an exact draw from the posterior
 distribution.

Package: r-cran-rocit
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rocit_2.1.2-1.ca2004.1_all.deb
Size: 276196
MD5sum: e72ac59f37d7dde154600ce553e4df36
SHA1: de61696596a824a19822dcc1f6e0fb43f28fe312
SHA256: 90774454d8870a9d19e57411d3f7a37cd8c71d71a36ec4db2e40361f546598c8
SHA512: 7c28cccf6245bb6c157d26411c49cfa71a02436c1df0ac4520a411168e675cb1a4a58f513acbc65feada8806ac31cf25b394947e530192eb445640ac3c524651
Homepage: https://cran.r-project.org/package=ROCit
Description: CRAN Package 'ROCit' (Performance Assessment of Binary Classifier with Visualization)
 Sensitivity (or recall or true positive rate), false positive rate,
 specificity, precision (or positive predictive value), negative predictive
 value, misclassification rate, accuracy, F-score- these are popular metrics
 for assessing performance of binary classifier for certain threshold. These
 metrics are calculated at certain threshold values. Receiver operating
 characteristic (ROC) curve is a common tool for assessing overall diagnostic
 ability of the binary classifier. Unlike depending on a certain threshold,
 area under ROC curve (also known as AUC), is a summary statistic about how
 well a binary classifier performs overall for the classification task. ROCit
 package provides flexibility to easily evaluate threshold-bound metrics.
 Also, ROC curve, along with AUC, can be obtained using different methods,
 such as empirical, binormal and non-parametric. ROCit encompasses a wide
 variety of methods for constructing confidence interval of ROC curve and
 AUC. ROCit also features the option of constructing empirical gains table,
 which is a handy tool for direct marketing. The package offers options for
 commonly used visualization, such as, ROC curve, KS plot, lift plot. Along
 with in-built default graphics setting, there are rooms for manual tweak by
 providing the necessary values as function arguments. ROCit is a powerful
 tool offering a range of things, yet it is very easy to use.

Package: r-cran-rock
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1683
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.tree, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-ggplot2, r-cran-glue, r-cran-htmltools, r-cran-markdown, r-cran-purrr, r-cran-squids, r-cran-yaml, r-cran-yum
Suggests: r-cran-covr, r-cran-googlesheets4, r-cran-haven, r-cran-justifier, r-cran-knitr, r-cran-limonaid, r-cran-openxlsx, r-cran-pdftools, r-cran-pkgdown, r-cran-preregr, r-cran-readxl, r-cran-rmarkdown, r-cran-rvest, r-cran-rsvg, r-cran-rstudioapi, r-cran-striprtf, r-cran-testthat, r-cran-writexl, r-cran-xlconnect, r-cran-xml2, r-cran-zip
Filename: pool/dists/focal/main/r-cran-rock_0.9.6-1.ca2004.1_all.deb
Size: 1207596
MD5sum: 4e02ca5898e32773fff6dcfbc938d1b8
SHA1: 2036a821a6bbdd686c46c31442e2d543c2e28a3e
SHA256: 4aaeb79af31a9506714121e4ecb8b2d5550d0db903a832385a1e197fe4db95c9
SHA512: 8c97dbf8920443472dcac80c2f0176283d069c69635e90009ce2952fedb23b91b75932cfa7cd2b1bae7f6596a8a27c6c5847b6c42290f16d510cc873958feeb0
Homepage: https://cran.r-project.org/package=rock
Description: CRAN Package 'rock' (Reproducible Open Coding Kit)
 The Reproducible Open Coding Kit ('ROCK', and this package, 'rock') was
 developed to facilitate reproducible and open coding, specifically geared
 towards qualitative research methods. It was developed to be both human- and
 machine-readable, in the spirit of MarkDown and 'YAML'. The idea is that
 this makes it relatively easy to write other functions and packages to
 process 'ROCK' files. The 'rock' package contains functions for basic coding
 and analysis, such as collecting and showing coded fragments and prettifying
 sources, as well as a number of advanced analyses such as the Qualitative
 Network Approach and Qualitative/Unified Exploration of State Transitions.
 The 'ROCK' and this 'rock' package are described in the ROCK book (Zörgő &
 Peters, 2022; <https://rockbook.org>), in Zörgő & Peters (2024)
 <doi:10.1080/21642850.2022.2119144> and Peters, Zörgő and van der Maas
 (2022) <doi:10.31234/osf.io/cvf52>, and more information and tutorials are
 available at <https://rock.science>.

Package: r-cran-rockchalk
Architecture: all
Version: 1.8.157-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2820
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lme4, r-cran-cardata, r-cran-mass, r-cran-kutils
Suggests: r-cran-tables, r-cran-hmisc, r-cran-car, r-cran-mvtnorm, r-cran-scatterplot3d, r-cran-hh
Filename: pool/dists/focal/main/r-cran-rockchalk_1.8.157-1.ca2004.1_all.deb
Size: 2387916
MD5sum: f01a9adbdfcb047b09f6144801643351
SHA1: 2d79e64c7d1c3c6d1b48c24fbdfd299e91324314
SHA256: 04d86e1d8330eaef76f8bf5d6c600bdb41e2e4f09a3942062274f5e7cf8d49b0
SHA512: a90180781e901be5adddca23008f35d83c2cd9d2f66e4a36f0ed0e581d8944baa510572c25df4e4cb4033bfc9c2b2551573d748d4c2e7b92bd0dc311f12be4b9
Homepage: https://cran.r-project.org/package=rockchalk
Description: CRAN Package 'rockchalk' (Regression Estimation and Presentation)
 A collection of functions for interpretation and presentation of regression
 analysis.  These functions are used to produce the statistics lectures in
 <https://pj.freefaculty.org/guides/>. Includes regression diagnostics,
 regression tables, and plots of interactions and "moderator" variables. The
 emphasis is on "mean-centered" and "residual-centered" predictors. The
 vignette 'rockchalk' offers a fairly comprehensive overview.  The vignette
 'Rstyle' has advice about coding in R.  The package title 'rockchalk' refers
 to our school motto, 'Rock Chalk Jayhawk, Go K.U.'.

Package: r-cran-rocker
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 576
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dbi, r-cran-r6, r-cran-sodium
Suggests: r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-rmariadb, r-cran-testthat, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-rocker_0.3.1-1.ca2004.1_all.deb
Size: 315708
MD5sum: 2045a97559d063d703bb8d6100c97e69
SHA1: 44bbdf4a878e3de70e634b295e5be778271740f9
SHA256: e2f5077763b4fb0a9fc394f376bebc51924f7286057b4ccf4424ad51e8f36776
SHA512: 158c3bbe25dee1bdfcf3dfcaf4615f3543976a7850ab9f35398bd93943e93aafa5c4b3d9b69be47c742464aa183dba9302254123f8715204c0200b95a09b0741
Homepage: https://cran.r-project.org/package=rocker
Description: CRAN Package 'rocker' (Database Interface Class)
 'R6' class interface for handling relational database connections using
 'DBI' package as backend.  The class allows handling of connections to e.g.
 PostgreSQL, MariaDB and SQLite.  The purpose is having an intuitive object
 allowing straightforward handling of SQL databases.

Package: r-cran-rocket
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rocket_1.0.3-1.ca2004.1_all.deb
Size: 126864
MD5sum: a1485d7ca9a3f1abdd543a39c7901735
SHA1: f40b8b674fa80e10b7f9e9df388c4160b8593310
SHA256: 0d59a1ee0d3797c693dfa32517654d4aecc68dc901bc487d81df127e0fc95019
SHA512: 8c5550fdf3e8129d2e85821996b5ea6959899fe60e92d0477330e8c481656bfa1d12ebc2e75e952d8cca0d0a162fda3d8100c5ed23894eb0f6ac6ec5eacd871f
Homepage: https://cran.r-project.org/package=ROCket
Description: CRAN Package 'ROCket' (Simple and Fast ROC Curves)
 A set of functions for receiver operating characteristic (ROC) curve
 estimation and area under the curve (AUC) calculation.  All functions are
 designed to work with aggregated data; nevertheless, they can also handle
 raw samples.  In 'ROCket', we distinguish two types of ROC curve
 representations: 1) parametric curves - the true positive rate (TPR) and the
 false positive rate (FPR) are functions of a parameter (the score), 2)
 functions - TPR is a function of FPR.  There are several ROC curve
 estimation methods available. An introduction to the mathematical background
 of the implemented methods (and much more) can be found in de Zea Bermudez,
 Gonçalves, Oliveira & Subtil (2014) and Cai & Pepe (2004).

Package: r-cran-rockfab
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rgl, r-bioc-ebimage
Filename: pool/dists/focal/main/r-cran-rockfab_1.2.1-1.ca2004.1_all.deb
Size: 118408
MD5sum: c6ecb25c9019834c37662a6e91c64f56
SHA1: 8e1250eee3461995616ca0619cb6c38f05ea2494
SHA256: dbe84512f87273114bffd98d8bc2adfc24ff835680903fd6eef865749b08a7ea
SHA512: e472600549b38a6a3b3b5d63e47c2db4d7c7202db1d5b530a44b6f0400348438801bd4d4266b939f2bd870b774d7e3f38c16e5b666da8be5d0503bd0d3733bd5
Homepage: https://cran.r-project.org/package=RockFab
Description: CRAN Package 'RockFab' (Rock Fabric and Strain Analysis Tools)
 Provides functions to complete three-dimensional rock fabric and strain
 analyses following the Rf Phi, Fry, and normalized Fry methods. Also allows
 for plotting of results and interactive 3D visualization functionality.

Package: r-cran-rockr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-mime, r-cran-progress
Suggests: r-cran-knitr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rockr_1.0.0-1.ca2004.1_all.deb
Size: 121108
MD5sum: 8148a79fdd66618e5f532e162bff759f
SHA1: dd307579845fae8345839acf25bd54b43c94505d
SHA256: d6787d4c92ab8c193f922c590813aea9df6ec01047c135dfed48aa03e7ffa2c7
SHA512: 6ea24f1ef2b8fde90b6c94fe7b9dbc7cdf0aad4920fd0ab4962b89c2d0cd95c8d0e4cd406ad29f601cfb66ebb7f58cd5d88e847feee587d3817ddd448c8907a4
Homepage: https://cran.r-project.org/package=rockr
Description: CRAN Package 'rockr' ('Rock' R Server Client)
 Connector to the REST API of a 'Rock' R server, to perform operations on a
 remote R server session, or administration tasks. See 'Rock' documentation
 at <https://rockdoc.obiba.org/>.

Package: r-cran-rockx
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rockx_0.1.0-1.ca2004.1_all.deb
Size: 42444
MD5sum: 7d24530b04fae87d87ca3480b3ac6ea8
SHA1: c340a369032e03115263cb9785ad55c0dc2c0e57
SHA256: 1baada571ca13f9a7452b4ccf9f4a15559f65165ddc123e3e464222def4874c7
SHA512: 668e16a40258027774eb975762e3ac28168ebe5fee841c327c22cfc17bbc878933daeb642572cabea74822e08b60c6f467c457b73b80bc8041358db96e797d84
Homepage: https://cran.r-project.org/package=rockx
Description: CRAN Package 'rockx' (Easily Import Data from Your 'ODK-X Sync Endpoint')
 Provides helper functions for authenticating and retrieving data from your
 'ODK-X Sync Endpoint'. This is an early release intended for testing and
 feedback.

Package: r-cran-roclang
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-stringr, r-cran-magrittr, r-cran-rlang, r-cran-roxygen2, r-cran-rex
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roclang_0.2.2-1.ca2004.1_all.deb
Size: 36032
MD5sum: 33f41e1ae5293f543d7665bb4f18d713
SHA1: e193e23784eb3e282c1acf492e7ce61161719afd
SHA256: 668dcfe1b099f9ef8c0f355ed51783c6e8150e7dc575e8220836d2a1f8596893
SHA512: 56037990d108a02abbc60db7e1ef81114b9fd3816fc7d99a9aadc33d3632f624e2f62f7e9cd3c4c7c6068647283884b9fae8f3617b5b88e351cfb2ef79465b40
Homepage: https://cran.r-project.org/package=roclang
Description: CRAN Package 'roclang' (Functions for Diffusing Function Documentations into 'Roxygen'Comments)
 Efficient diffusing of content across function documentations. Sections,
 parameters or dot parameters are extracted from function documentations and
 turned into valid Rd character strings, which are ready to diffuse into the
 'roxygen' comments of another function by inserting inline code.

Package: r-cran-rocnit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rocnit_1.0-1.ca2004.1_all.deb
Size: 13984
MD5sum: 7ae3821b09564b8951c43987ef1abd89
SHA1: 109deb537e3e87b725b6757da8346073cebf1cb8
SHA256: ffe9f51ce23c8853f176d577ed9c118aef07492f2cc0519673faac7ef7cc0f9e
SHA512: 18fc4f546c4c397785407392911b50ec13ca8ad110e8245c0eb34049c61040e8f9044488331c2e2f2aff727b0691f4af25253207d280ed9e6865668280cd4010
Homepage: https://cran.r-project.org/package=rocNIT
Description: CRAN Package 'rocNIT' (Non-Inferiority Test for Paired ROC Curves)
 Non-inferiority test and diagnostic test are very important in clinical
 trails.  This package is to get a p value from the non-inferiority test for
 ROC curves from diagnostic test.

Package: r-cran-rocnp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rocnp_0.1.0-1.ca2004.1_all.deb
Size: 36560
MD5sum: cf725f47ba7fbd403876e3b62ff24929
SHA1: e68d62056141237c53f2e5ee6faa0c40c7e4d5cd
SHA256: b87a882eb5e0a22817793da48273534139be47e172e136180b29d57af276f482
SHA512: dce98e617f046e50a5547b565c1626b8af0974331255bc7c2c036597fbd95b43e088a54bee5e347d1bffb8f8910604b167144857ae32b0f86f7a1f4ebf1923fc
Homepage: https://cran.r-project.org/package=rocnp
Description: CRAN Package 'rocnp' (Work with Romanian Personal Numeric Codes PNC / CNP)
 A set of tools for working with Romanian personal numeric codes.  The core
 is a validation function which applies several verification criteria to
 assess the validity of numeric codes. This is accompanied by functionality
 for extracting the different components of a personal numeric code. A
 personal numeric code is issued to all Romanian residents either at birth or
 when they obtain a residence permit.

Package: r-cran-rocnreg
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 725
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-np, r-cran-matrix, r-cran-moments, r-cran-nor1mix, r-cran-spatstat.univar, r-cran-lattice, r-cran-mass, r-cran-pbivnorm
Filename: pool/dists/focal/main/r-cran-rocnreg_1.0-9-1.ca2004.1_all.deb
Size: 693052
MD5sum: 932af1b0bb97919ba85ef960aabc23dc
SHA1: f666c2e6b707c0fa024e21c0d17c1384371ce220
SHA256: 7dcddb841f462a0f5e15a21c32421d3e2f325841419eef6c8d518eb2e39f886e
SHA512: 56e2d8a4cf8a280c09c740000e21241865902aa128522703f2fce45b333c028b08d39dcb690ff56b21af35619ffb9d9ff88b721113a3ed13d5014de20d12ea68
Homepage: https://cran.r-project.org/package=ROCnReg
Description: CRAN Package 'ROCnReg' (ROC Curve Inference with and without Covariates)
 Estimates the pooled (unadjusted) Receiver Operating Characteristic (ROC)
 curve, the covariate-adjusted ROC (AROC) curve, and the
 covariate-specific/conditional ROC (cROC) curve by different methods, both
 Bayesian and frequentist. Also, it provides functions to obtain ROC-based
 optimal cutpoints utilizing several criteria. Based on Erkanli, A. et al.
 (2006) <doi:10.1002/sim.2496>; Faraggi, D. (2003)
 <doi:10.1111/1467-9884.00350>; Gu, J. et al. (2008) <doi:10.1002/sim.3366>;
 Inacio de Carvalho, V. et al. (2013) <doi:10.1214/13-BA825>; Inacio de
 Carvalho, V., and Rodriguez-Alvarez, M.X. (2022) <doi:10.1214/21-STS839>;
 Janes, H., and Pepe, M.S. (2009) <doi:10.1093/biomet/asp002>; Pepe, M.S.
 (1998) <http://www.jstor.org/stable/2534001?seq=1>; Rodriguez-Alvarez, M.X.
 et al. (2011a) <doi:10.1016/j.csda.2010.07.018>; Rodriguez-Alvarez, M.X. et
 al. (2011a) <doi:10.1007/s11222-010-9184-1>. Please see Rodriguez-Alvarez,
 M.X. and Inacio, V. (2021) <doi:10.32614/RJ-2021-066> for more details.

Package: r-cran-rocpsych
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-reportroc, r-cran-proc
Filename: pool/dists/focal/main/r-cran-rocpsych_1.4-1.ca2004.1_all.deb
Size: 47200
MD5sum: bc223714e8a9649a1a15f3d292e5d801
SHA1: 214513bf7b76dbbdc2d65df4b588859c6b602a87
SHA256: 8081a65ca756906957dd06d374db1285ee4a1a1f037a75099f2a9fb4d578596a
SHA512: cb81889937a9594078fd46fde7130ff5f4b09804660613261fbd216a7f01c86a8b774449319ae1d546b88745032abcc97ae19a7415c8756cc039794bf687d9d4
Homepage: https://cran.r-project.org/package=ROCpsych
Description: CRAN Package 'ROCpsych' (Compute and Compare Diagnostic Test Statistics Across Groups)
 Functions for (1) computing diagnostic test statistics (sensitivity,
 specificity, etc.) from confusion matrices with adjustment for various base
 rates or known prevalence based on McCaffrey et al (2003)
 <doi:10.1007/978-1-4615-0079-7_1>, (2) computing optimal cut-off scores with
 different criteria including maximizing sensitivity, maximizing specificity,
 and maximizing the Youden Index from Youden (1950)
 <doi:10.1002/1097-0142(1950)3:1%3C32::AID-CNCR2820030106%3E3.0.CO;2-3>, and
 (3) displaying and comparing classification statistics and area under the
 receiver operating characteristic (ROC) curves or area under the curves
 (AUC) across consecutive categories for ordinal variables.

Package: r-cran-rocr
Architecture: all
Version: 1.0-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gplots
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rocr_1.0-11-1.ca2004.1_all.deb
Size: 445532
MD5sum: 2abd95fd6b42805ad90aca80007b25a2
SHA1: a5a323bee00d4724184353eab27e5588d191a0ab
SHA256: 3a28ed881efc50f3c9330e404e10d1f89a845cfe67e5cfaaf1d631eb25ad3b7a
SHA512: b7b40fbe88edbf7401003fa93bf92738e95ded8af3dba594708b0bf07eda6e931df7985dce4696792434bbdd8beb422cc7e5f98aa569890f71f1ccd73827056b
Homepage: https://cran.r-project.org/package=ROCR
Description: CRAN Package 'ROCR' (Visualizing the Performance of Scoring Classifiers)
 ROC graphs, sensitivity/specificity curves, lift charts, and
 precision/recall plots are popular examples of trade-off visualizations for
 specific pairs of performance measures. ROCR is a flexible tool for creating
 cutoff-parameterized 2D performance curves by freely combining two from over
 25 performance measures (new performance measures can be added using a
 standard interface).  Curves from different cross-validation or
 bootstrapping runs can be averaged by different methods, and standard
 deviations, standard errors or box plots can be used to visualize the
 variability across the runs. The parameterization can be visualized by
 printing cutoff values at the corresponding curve positions, or by coloring
 the curve according to cutoff. All components of a performance plot can be
 quickly adjusted using a flexible parameter dispatching mechanism. Despite
 its flexibility, ROCR is easy to use, with only three commands and
 reasonable default values for all optional parameters.

Package: r-cran-rocs
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rgl, r-cran-poibin
Filename: pool/dists/focal/main/r-cran-rocs_1.4-1.ca2004.1_all.deb
Size: 58504
MD5sum: aaf4241a30455af928f4248ba28354f8
SHA1: 28e071935139da93b26d362aefec4565614c3f02
SHA256: 52c3c9168c78b0dcbb1afbcbf57f1f84697d5ab9f5d824a9d05f5196b8f18a0b
SHA512: 49416b9b178f3a496517b603c98cd5c22a98da7d7010c2f0b4ea5abd8ce5fc71a5179955c325eeee584d83dc85b9c5443754065d82374aea763e1c7e06cb77eb
Homepage: https://cran.r-project.org/package=ROCS
Description: CRAN Package 'ROCS' (Receiver Operating Characteristics Surface)
 Plots the Receiver Operating Characteristics Surface for high-throughput
 class-skewed data, calculates the Volume under the Surface (VUS) and the
 FDR-Controlled Area Under the Curve (FCAUC), and conducts tests to compare
 two ROC surfaces. Computes eROC curve and the corresponding AUC for
 imperfect reference standard.

Package: r-cran-rocsi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glmnet, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rocsi_0.1.0-1.ca2004.1_all.deb
Size: 60380
MD5sum: 46c70f45b900ce72bfe4199993e2bdd8
SHA1: 5af7fe09de7a11e6a891bc4e880151b79b7266af
SHA256: 7ccfde414e18d12a3f22bffdd2dd558a510fe1a4aa71019e1680c4db0afc8a3e
SHA512: 4d6d916c0f3c60a07b19e9f2f0095d7ed4348e71950a1e71bef4b66705ee956d37d68a37678c1f2084ccd518dd4697aa0e2b9e04087ebb259a07f46b4c84042b
Homepage: https://cran.r-project.org/package=ROCSI
Description: CRAN Package 'ROCSI' (Receiver Operating Characteristic Based Signature Identification)
 Optimal linear combination predictive signatures for maximizing the area
 between two Receiver Operating Characteristic (ROC) curves (treatment vs.
 control).

Package: r-cran-rocsurf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotly, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rocsurf_0.1.1-1.ca2004.1_all.deb
Size: 154948
MD5sum: c8b91dfb841c1048c23d51d3f9982079
SHA1: 2fd2b17b545b2b5925034a58dee2d5769275f488
SHA256: f1371a85ebc630896fd8a63fae3319f45d97db0345453baf75a292c94ea614d4
SHA512: 505a5065b9cd1f625b1423cefd3697e2620a49291acff4544217ed863c8485365bc1c3f0a789274ed3068b05dbfcf77fc6929caae269a099839fa189a4dafd36
Homepage: https://cran.r-project.org/package=ROCsurf
Description: CRAN Package 'ROCsurf' (ROC Surface Analysis Under the Three-Class Problems)
 Receiver Operating Characteristic (ROC) analysis is performed assuming
 samples are from the proposed distributions. In addition, the volume under
 the ROC surface and true positive fractions values are evaluated by ROC
 surface analysis.

Package: r-cran-rocsvm.path
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-svmpath
Filename: pool/dists/focal/main/r-cran-rocsvm.path_0.1.0-1.ca2004.1_all.deb
Size: 42888
MD5sum: c49daa88438f796507ac0a6269efb632
SHA1: 5837626047244f46df12a3b3b11b22002ceb9038
SHA256: a6bdf86da217ea5cb7529c98b40181fa110c913a2aa79e9705fcbe5e79480999
SHA512: 676f1f1e0dbe3b7514a49628767e0fc274705b791800648a34a4025c6c5b344de64e1a7904fdce2efe85779ce120fd4f85e3b075d3e9dddc982341cfaf99c18b
Homepage: https://cran.r-project.org/package=rocsvm.path
Description: CRAN Package 'rocsvm.path' (The Entire Solution Paths for ROC-SVM)
 We develop the entire solution paths for ROC-SVM presented by Rakotomamonjy.
 The ROC-SVM solution path algorithm greatly facilitates the tuning procedure
 for regularization parameter, lambda in ROC-SVM by avoiding grid search
 algorithm which may be computationally too intensive. For more information
 on the ROC-SVM, see the report in the ROC Analysis in AI
 workshop(ROCAI-2004) : Hernàndez-Orallo, José, et al. (2004)
 <doi:10.1145/1046456.1046489>.

Package: r-cran-rodam
Architecture: all
Version: 0.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-data.tree, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rodam_0.1.14-1.ca2004.1_all.deb
Size: 470148
MD5sum: c412383ce4b320c2235758f8b23aac2f
SHA1: e6ed885a7690747bbb6bd34316a5ae9b515ba0fe
SHA256: 982888c2b78b6a3f1210bf96a301207348aac10ef3315f2c9dc94f37d9580696
SHA512: 76745fed02d0dd0a3974f91b6bddbc2f1aed1e2664f813393f10c1a05a6dae280ebdda47c8bb9e16215f4e54810fca42b499db9ded1d872e3bc4d5731a3f67d7
Homepage: https://cran.r-project.org/package=Rodam
Description: CRAN Package 'Rodam' (Wrapper Functions for 'ODAM' (Open Data for Access and Mining)Web Services)
 'ODAM' (Open Data for Access and Mining) is a framework that implements a
 simple way to make research data broadly accessible and fully available for
 reuse, including by a script language such as R. The main purpose is to make
 a data set accessible online with a minimal effort from the data provider,
 and to allow any scientists or bioinformaticians to be able to explore the
 data set and then extract a subpart or the totality of the data according to
 their needs. The Rodam package has only one class, 'odamws', that provides
 methods to allow you to retrieve online data using 'ODAM' Web Services. This
 obviously requires that data are implemented according the 'ODAM' approach ,
 namely that the data subsets were deposited in the suitable data repository
 in the form of TSV files associated with their metadata also described in
 TSV files. See <https://inrae.github.io/ODAM/>.

Package: r-cran-rodbcdbi
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rodbc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rodbcdbi_0.1.1-1.ca2004.1_all.deb
Size: 159240
MD5sum: 8b360a5f114deb21edfe888dbd6039bb
SHA1: 9ea44323883e99e4d8cdf0f1106e48f77196aaea
SHA256: b8e55f940f5a6757b9cd2a53918673788f60e00d93f2e52acdc729caddf2553a
SHA512: 01621448f12ef13281edfb91f710c01dab2c0c9f295f48ce4190896601cc09efbbf23e20b29260a35acb98ae6bd4ff70163eded79e71ca969636af131129ada8
Homepage: https://cran.r-project.org/package=RODBCDBI
Description: CRAN Package 'RODBCDBI' (Provides Access to Databases Through the ODBC Interface)
 An implementation of R's DBI interface using ODBC package as a back-end.
 This allows R to connect to any DBMS that has a ODBC driver.

Package: r-cran-rodd
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-quadprog, r-cran-matrix, r-cran-rootsolve, r-cran-matrixcalc
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-rodd_0.2-1-1.ca2004.1_all.deb
Size: 82248
MD5sum: 759a355ec19a01d621471226285a0c48
SHA1: 1fe112cc1d8b96391b6ed61f73132daa0d9acc97
SHA256: 2583e12746ae80c77a402cb072f0797b93f5e75f0a0f894a26ed38e4811fb97f
SHA512: e5a5d1755caab0433f3c50103706e87e4f9fbac783482c400de4338a0187327fc3edbcf6e2299a284631c5524e29642d40886cf4cf852bf0de74bdbc30ce6b03
Homepage: https://cran.r-project.org/package=rodd
Description: CRAN Package 'rodd' (Optimal Discriminating Designs)
 A collection of functions for numerical construction of optimal
 discriminating designs. At the current moment T-optimal designs (which
 maximize the lower bound for the power of F-test for regression model
 discrimination), KL-optimal designs (for lognormal errors) and their robust
 analogues can be calculated with the package.

Package: r-cran-rode
Architecture: all
Version: 0.99.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1893
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-covr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-rode_0.99.6-1.ca2004.1_all.deb
Size: 689780
MD5sum: 7c8a2024b0fdf0f512f02418c9d55bae
SHA1: c171865543f7475d7c056e3c80653e7a7757a38b
SHA256: 9c032b38bd57ada656142e44634b77fe85c011a24c57d7b6b27e5a8921f3c8f8
SHA512: fec80d655a8d97cdbcd4b73c5ee48a7c0c4705e471dbf32898748020bf4986f61fb737baa2160930d762f4d0f611b38889a1b68e056614db05cc311d83c63d52
Homepage: https://cran.r-project.org/package=rODE
Description: CRAN Package 'rODE' (Ordinary Differential Equation (ODE) Solvers Written in R UsingS4 Classes)
 Show physics, math and engineering students how an ODE solver is made and
 how effective R classes can be for the construction of the equations that
 describe natural phenomena. Inspiration for this work comes from the book on
 "Computer Simulations in Physics" by Harvey Gould, Jan Tobochnik, and
 Wolfgang Christian.  Book link:
 <http://www.compadre.org/osp/items/detail.cfm?ID=7375>.

Package: r-cran-roger
Architecture: all
Version: 1.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-roger_1.5-1-1.ca2004.1_all.deb
Size: 128524
MD5sum: 4f2b3e9328c106b3712809d550e875b0
SHA1: 5e06371b5e0b5748d6771a6a3a1b777a5110c923
SHA256: b18ed43a03cce57a078393d94435c67d27ec915b65a0766465114f2da85e1fef
SHA512: 497806736e0a3055dedd0f8610a153615958f2af48901b7419fb3413d2e2e4e668fdf845afc1a30cf055c3726f3002457f3a3bf00c420185802f79355a4a679a
Homepage: https://cran.r-project.org/package=roger
Description: CRAN Package 'roger' (Automated Grading of R Scripts)
 Tools for grading the coding style and documentation of R scripts. This is
 the R component of Roger the Omni Grader, an automated grading system for
 computer programming projects based on Unix shell scripts; see
 <https://gitlab.com/roger-project>. The package also provides an R interface
 to the shell scripts. Inspired by the lintr package.

Package: r-cran-roi.models.globalopttests
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-roi, r-cran-globalopttests
Suggests: r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-roi.models.globalopttests_1.1-2-1.ca2004.1_all.deb
Size: 14872
MD5sum: 81ed2d3273f48def4f88c4a850488bc7
SHA1: af5f730861fea7bd24a51230a8d4702e0da2fb47
SHA256: 144d470e50d6a3b4b0c38f8a69ade7fb6cf02ce708ff6461e0f96204809484c1
SHA512: bd4b0f66de6e3d8a5a67b12c5d487ec37daa35993926cee546234aac1d8cbfe2f0f0a4f7aadd600820ea0ccae9b07d3e5be3c978745e26a0b8fbc086bb35ab57
Homepage: https://cran.r-project.org/package=ROI.models.globalOptTests
Description: CRAN Package 'ROI.models.globalOptTests' ('ROI' Optimization Problems Based on 'globalOptTests')
 A collection of non-linear optimization problems with box bounds transformed
 into 'ROI' optimization problems.  This package provides a wrapper around
 the 'globalOptTests' which provides a collection of global optimization
 problems.  More information can be found in the 'README' file.

Package: r-cran-roi.models.miplib
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils, r-cran-rglpk, r-cran-roi
Filename: pool/dists/focal/main/r-cran-roi.models.miplib_1.0-0-1.ca2004.1_all.deb
Size: 26900
MD5sum: 38101a3b7f1795f7f870bf6bc17a1a93
SHA1: 5d80fe6b1417c1f318398c1fea19e00d4950aa3e
SHA256: 65038b1eebe2466043125af6f2f80ad7e52b1cbc5b8e12910423f75145e881a7
SHA512: 556ccf3ded60730c77cca7e59a19e7be80f3ceb3694129ae2d011659a47ed2ccbae5c951311185f1f0747f01253ffc79c538550788d392be77356884bd5de4e9
Homepage: https://cran.r-project.org/package=ROI.models.miplib
Description: CRAN Package 'ROI.models.miplib' ('ROI' Access to 'MIPLIB' 2010 Benchmark Instances)
 The mixed integer programming library 'MIPLIB' (see <http://miplib.zib.de/>)
 is commonly used to compare the performance of mixed integer optimization
 solvers.  This package provides functions to access 'MIPLIB' from the 'R'
 Optimization Infrastructure ('ROI'). More information about 'MIPLIB' can be
 found in the paper by Koch et al. available at
 <http://mpc.zib.de/index.php/MPC/article/viewFile/56/28>.  The 'README.md'
 file illustrates how to use this package.

Package: r-cran-roi.models.netlib
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4299
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi
Suggests: r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-roi.models.netlib_1.1-2-1.ca2004.1_all.deb
Size: 3094296
MD5sum: 65cce9e8e07ab8419249c01e3f51feb4
SHA1: 0d26fe3a17b73a15ec82e096d611dc06fe7f76d4
SHA256: 14a928cd42fee2568a6795aa93138fd4ab79e8295486195b83f231211af87553
SHA512: b25f1504a640fa007d9c48ea56dfc6844948c40597215d7221d7cfebad7be6599841d10a5a184603f33972be4df0a9ca25b04e183625a341e57e2e5a8a94c44d
Homepage: https://cran.r-project.org/package=ROI.models.netlib
Description: CRAN Package 'ROI.models.netlib' ('ROI' Optimization Problems Based on 'NETLIB-LP')
 A collection of 'ROI' optimization problems based on the 'NETLIB-LP'
 collection.  'Netlib' is a software repository, which amongst many other
 software for scientific computing contains a collection of linear
 programming problems. The purpose of this package is to make this problems
 easily accessible from 'R' as 'ROI' optimization problems.

Package: r-cran-roi.plugin.alabama
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-alabama
Filename: pool/dists/focal/main/r-cran-roi.plugin.alabama_1.0-2-1.ca2004.1_all.deb
Size: 23840
MD5sum: 1707a4e880f596431e16f88ecaffa250
SHA1: 490be964f06dca76778b2c286c7a715e733852b5
SHA256: 7ea7b14366ebdac04444ab115e656407b038e64ae6bc4120ca8061aaf26bf92b
SHA512: 5a237c0b133803d274a0368d640b80fa70187025a75148284ea0378e24bdfd7e1dfbd2be8065e7cbf503d5e2a945125c922073e0e2436157b1d5154e0951afa6
Homepage: https://cran.r-project.org/package=ROI.plugin.alabama
Description: CRAN Package 'ROI.plugin.alabama' ('alabama' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the R Optimization Infrastructure ('ROI') package with the
 'alabama' solver for solving nonlinear optimization problems.

Package: r-cran-roi.plugin.clarabel
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-slam, r-cran-roi, r-cran-clarabel
Filename: pool/dists/focal/main/r-cran-roi.plugin.clarabel_0.3-1.ca2004.1_all.deb
Size: 35600
MD5sum: 4d029b155cf2be44cc82113bef7e02bc
SHA1: d9f15e9e20ca1a7ee79eeeb618c362a69fb85e7e
SHA256: f80287266416956e5197a348913dbc36d373c1e66c8487c3a27c79aefb379de7
SHA512: bc0a6d9924a5c08f2a0b0bc352680225aa526e3dd8b90c10a0cf620387fc6db091c49e6f1db73ffd9a6634448caa6a271f9542f7177d73e26219fc6b684ce467
Homepage: https://cran.r-project.org/package=ROI.plugin.clarabel
Description: CRAN Package 'ROI.plugin.clarabel' ('clarabel' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 'clarabel' solver for solving convex cone problems.  More information about
 'clarabel' can be found at
 <https://oxfordcontrol.github.io/ClarabelDocs/stable/>.

Package: r-cran-roi.plugin.deoptim
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-deoptim, r-cran-deoptimr
Filename: pool/dists/focal/main/r-cran-roi.plugin.deoptim_1.0-2-1.ca2004.1_all.deb
Size: 30776
MD5sum: a5a7ce3b5625fde6961ca8aee7c758d6
SHA1: bdb993400b0b2a12cbafa02ea0f5c66786e06f0b
SHA256: c8c89f2af28e1840c6ffc51d0d3d6e88e4111e3a7736d14517794b6907636812
SHA512: 11082fac15a28375cd8572f4a5409850e39247055e5701bd0056e9831f50f031a6bc22578ec3ae08a2b36056403525ed805c0d657397a5057a0cf3d7ad19c71a
Homepage: https://cran.r-project.org/package=ROI.plugin.deoptim
Description: CRAN Package 'ROI.plugin.deoptim' ('DEoptim' and 'DEoptimR' Plugin for the 'R' OptimizationInterface)
 Enhances the R Optimization Infrastructure ('ROI') package with the
 'DEoptim' and 'DEoptimR' package. 'DEoptim' is used for unconstrained
 optimization and 'DEoptimR' for constrained optimization.

Package: r-cran-roi.plugin.ecos
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-slam, r-cran-matrix, r-cran-roi, r-cran-ecosolver
Filename: pool/dists/focal/main/r-cran-roi.plugin.ecos_1.0-2-1.ca2004.1_all.deb
Size: 28428
MD5sum: 29593d645a6c514dabc0faf85cea2309
SHA1: a09db363be942c4d2bdd0b41572e0e304ffd33ee
SHA256: 437a1861b3274edd06bc4360fa18b710d185d8a967bf412b68edf2cfddd602ea
SHA512: 90b5b6b5c3dcee8f9331b0fc269b21b6bc5a20c34ef3e6c88e3a6b29dbf92f8c8989fdb7d875e601c852ef31f6ceddaf3bdfcd65921030a77cb1464a54416c81
Homepage: https://cran.r-project.org/package=ROI.plugin.ecos
Description: CRAN Package 'ROI.plugin.ecos' ('ECOS' Plugin for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 Embedded Conic Solver ('ECOS') for solving conic optimization problems.

Package: r-cran-roi.plugin.glpk
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roi, r-cran-rglpk
Filename: pool/dists/focal/main/r-cran-roi.plugin.glpk_1.0-0-1.ca2004.1_all.deb
Size: 19816
MD5sum: c8a68328a78c4da0fdac52d8548b9705
SHA1: 6e32df778beb4c7da077020cd45040ca1ad077cc
SHA256: bf0531a1c3858ee7ce4b6a5a2c046271ee57e1292480be4d3475c54beda900a6
SHA512: e8964af1fdf3722c9e1488c45ecd572b4b799b0405de3b905e4d845d9479b9b22f6e805b16ebfb29137c2f5dffe1847b2291b37eb5073514a5db6228e3c7c2e3
Homepage: https://cran.r-project.org/package=ROI.plugin.glpk
Description: CRAN Package 'ROI.plugin.glpk' ('ROI' Plug-in 'GLPK')
 Enhances the 'R' Optimization Infrastructure ('ROI') package by registering
 the free 'GLPK' solver. It allows for solving mixed integer linear
 programming ('MILP') problems as well as all variants/combinations of 'LP',
 'IP'.

Package: r-cran-roi.plugin.highs
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-roi, r-cran-highs
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-roi.plugin.highs_1.0-4-1.ca2004.1_all.deb
Size: 18796
MD5sum: 67be53f1c842b7db4d28c94927588aec
SHA1: eabbf816a469a60565f5839b60c475bef9f5a886
SHA256: 3ab405464c9d6ce2eaee3241727db56413d77ef4e196b0db079a8d553d44992f
SHA512: 930d574c58eb0089d2c01c0ea3502c2e2c43bda7492d9aabec2f331304169c9a48086c67036df47cc77a12637e303b4895d65287d1d7525dc4eae5715545cb0d
Homepage: https://cran.r-project.org/package=ROI.plugin.highs
Description: CRAN Package 'ROI.plugin.highs' ('HiGHS' Plugin for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 quadratic solver 'HiGHS'. More information about 'HiGHS' can be found at
 <https://highs.dev>.

Package: r-cran-roi.plugin.ipop
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roi, r-cran-kernlab, r-cran-slam
Filename: pool/dists/focal/main/r-cran-roi.plugin.ipop_1.0-0-1.ca2004.1_all.deb
Size: 17852
MD5sum: 018cf22eb30cad83503a920cafce2e8a
SHA1: f2696c4496b3bb5ea4d7dab3933bbbf69db8dbf7
SHA256: a7708fcb19c1d468b7aa455d4a9f935ceca6f282f94f83f808b2042625cad3eb
SHA512: 599a30d611011454e87350b57bb6df2f48ba149d6daaf2adb577c38df41b47e24bc8e517f8363129cbe9526b0a289e7b7fb635122742678f562bfac3e1f96f89
Homepage: https://cran.r-project.org/package=ROI.plugin.ipop
Description: CRAN Package 'ROI.plugin.ipop' ('ipop' Plug-in for the 'R' Optimization Interface)
 Enhances the 'R' Optimization Infrastructure ('ROI') package by registering
 the 'ipop' solver from package 'kernlab'.

Package: r-cran-roi.plugin.lpsolve
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-lpsolveapi
Suggests: r-cran-slam
Filename: pool/dists/focal/main/r-cran-roi.plugin.lpsolve_1.0-2-1.ca2004.1_all.deb
Size: 48348
MD5sum: 12e634d78249497e7b148e82f14dedf6
SHA1: cddbb22f47e92fecdd934da61044c473334175d5
SHA256: 2203898b8c94987a80e627b2047f42f231a06b4325dcbf54b429aebc48d0ceee
SHA512: 6e73fa57ee414d6548f9a281d0b3ff1ee439612d3a51c4b3f357c2a5ba00d3083afee6e0e07b496fa2027280c700682e2685d9dc3906001a3db4c2c97a24a37f
Homepage: https://cran.r-project.org/package=ROI.plugin.lpsolve
Description: CRAN Package 'ROI.plugin.lpsolve' ('lp_solve' Plugin for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 'lp_solve' solver.

Package: r-cran-roi.plugin.msbinlp
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-slam, r-cran-roi
Suggests: r-cran-roi.plugin.glpk
Filename: pool/dists/focal/main/r-cran-roi.plugin.msbinlp_1.0-1-1.ca2004.1_all.deb
Size: 29700
MD5sum: 7097eebdacb8b371f2b7ccace81c3ed1
SHA1: 252835d6ab74fff422a2713406e2a29241e15aa1
SHA256: f4f464df96b6fbea37c86dc4b147b980c5f934e3982fd39cf3e790816a29d300
SHA512: 65bd47b6cab506cd0b55c64a90a41120e0fcb993380fee1e8ff000081b05fd4927803740ba9b4dc56791198aeb666502fa278546ee59cc8776a3ea2403abda7b
Homepage: https://cran.r-project.org/package=ROI.plugin.msbinlp
Description: CRAN Package 'ROI.plugin.msbinlp' ('Multi-Solution' Binary Linear Problem Plug-in for the 'R'Optimization Interface)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 possibility to obtain multiple solutions for linear problems with binary
 variables. The main function is copied (with small modifications) from the
 relations package.

Package: r-cran-roi.plugin.neos
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-roi, r-cran-xmlrpc2, r-cran-xml2
Suggests: r-cran-slam
Filename: pool/dists/focal/main/r-cran-roi.plugin.neos_1.0-2-1.ca2004.1_all.deb
Size: 408452
MD5sum: bafba68751c89b14183ec7a7b545c164
SHA1: 9469b49990ceb4473de5d4f51b261f033b294a49
SHA256: 67e8cdbe74fef9e9bda95ac5044005498c5cb0002303eab6443c5d4c15120f04
SHA512: df401c12f92d0b2ad3bd9ff518888dd11428e4576af755a519017d8ad70d9a60cc9eacade8df2cf0c5e18d521a80fe47bdcfd80c37df03ab3576023fde757871
Homepage: https://cran.r-project.org/package=ROI.plugin.neos
Description: CRAN Package 'ROI.plugin.neos' ('NEOS' Plug-in for the 'R' Optimization Interface)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with a
 connection to the 'neos' server. 'ROI' optimization problems can be directly
 be sent to the 'neos' server and solution obtained in the typical 'ROI'
 style.

Package: r-cran-roi.plugin.nloptr
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-roi.plugin.nloptr_1.0-1-1.ca2004.1_all.deb
Size: 55512
MD5sum: 314b897d49f5704b75f045fd01b99103
SHA1: 8f1bbf1402c9f4c949a530aa448c99d411200e16
SHA256: b8435fb8d9765a8843d4a3b67ccb9b24b8276d79610f2095a55bd771f08ab3ce
SHA512: 8e6bc9f6d1181779f33bc6e82ff0babd11037941f3c05e3d715bffe3dab6792490244265b860be2b4e12b0c85148ddb0302109ddbb543e4bc42f62702ae264ba
Homepage: https://cran.r-project.org/package=ROI.plugin.nloptr
Description: CRAN Package 'ROI.plugin.nloptr' ('nloptr' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the R Optimization Infrastructure ('ROI') package with the 'NLopt'
 solver for solving nonlinear optimization problems.

Package: r-cran-roi.plugin.optimx
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roi, r-cran-optimx
Suggests: r-cran-bb, r-cran-ucminf, r-cran-minqa, r-cran-dfoptim, r-cran-lbfgsb3c, r-cran-lbfgs, r-cran-subplex
Filename: pool/dists/focal/main/r-cran-roi.plugin.optimx_1.0-1-1.ca2004.1_all.deb
Size: 17984
MD5sum: 937fc23b0b840fc5e3bb5cbd77752b24
SHA1: 60ea3c89a4b1c678e6d48ed399a44c832cd062fb
SHA256: 52abeb8f9fe7f0bd7fe1a69daee053bfcf90f6d995e93b99818401a719939461
SHA512: 71babad7bc7dbb4de1dd6517e5d4ef35b1defcbef83a1437ada6fdbc826d0581c1ee8dc29682947768f7472d4f6328b3aca698aa28d4f2ba5949216e5c09c202
Homepage: https://cran.r-project.org/package=ROI.plugin.optimx
Description: CRAN Package 'ROI.plugin.optimx' ('optimx' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the R Optimization Infrastructure ('ROI') package with the 'optimx'
 package.

Package: r-cran-roi.plugin.osqp
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-slam, r-cran-roi, r-cran-osqp, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-roi.plugin.osqp_1.0-2-1.ca2004.1_all.deb
Size: 23952
MD5sum: 5f998060b549505758c79c95a788b30a
SHA1: a77caae799f93d64b4b58dbb5656a0c8b27d7ec9
SHA256: fcdd774b4d882e5a225a7ffaf9c33b7f86b0558fa45d1b91557dfafb4df3a660
SHA512: fe32977d864adbf7b91b5e0d34ab099710099c46687a664fc247294732998f4904b4615a895b62077f80fc805602bacadac093280c8feaf536c1b7e9ea6e8e56
Homepage: https://cran.r-project.org/package=ROI.plugin.osqp
Description: CRAN Package 'ROI.plugin.osqp' ('osqp' Plugin for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the
 quadratic solver 'OSQP'. More information about 'OSQP' can be found at
 <https://osqp.org>.

Package: r-cran-roi.plugin.quadprog
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quadprog, r-cran-roi, r-cran-slam
Filename: pool/dists/focal/main/r-cran-roi.plugin.quadprog_1.0-1-1.ca2004.1_all.deb
Size: 16932
MD5sum: f3c004a5ca22c5f06d799cf62c69cde8
SHA1: b4c24a369f9add4aed402a6cf15219c54cdf11ac
SHA256: f7eaadf8689304d396f730991ce05d1f3ccd634a84ab95ed5b9ef0aaa7c71901
SHA512: 2d318d2ec104019fe1719e148f54f3e349ec001cc71f2dc36e313af45bef98a99cf53192d346e0146ac0eeaf8517e6959ffcc074c988da766c1cec3cb33ce60c
Homepage: https://cran.r-project.org/package=ROI.plugin.quadprog
Description: CRAN Package 'ROI.plugin.quadprog' ('quadprog' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the R Optimization Infrastructure ('ROI') package by registering
 the 'quadprog' solver. It allows for solving quadratic programming (QP)
 problems.

Package: r-cran-roi.plugin.scs
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-slam, r-cran-roi, r-cran-scs
Filename: pool/dists/focal/main/r-cran-roi.plugin.scs_1.1-2-1.ca2004.1_all.deb
Size: 36984
MD5sum: c29f1e2e4d79d4be58c1e32e81bf4045
SHA1: 7fe2302781955fcd1436e617ddad60739aeb7b51
SHA256: 033f5b6cfe3620ad76b5ba229083df15d31ddd30be0fcf9b72e51ac5d56283da
SHA512: eba09e8f30d22b86fa4a27074f7c7b24696b1ad68af069266bcadc69a1b988c3407ae1a27946902f96b5014e1486b50c49821ac72edbe5adee5d58b3e5025098
Homepage: https://cran.r-project.org/package=ROI.plugin.scs
Description: CRAN Package 'ROI.plugin.scs' ('SCS' Plug-in for the 'R' Optimization Infrastructure)
 Enhances the 'R' Optimization Infrastructure ('ROI') package with the 'SCS'
 solver for solving convex cone problems.

Package: r-cran-roi.plugin.symphony
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roi, r-cran-rsymphony, r-cran-slam
Filename: pool/dists/focal/main/r-cran-roi.plugin.symphony_1.0-0-1.ca2004.1_all.deb
Size: 16160
MD5sum: cc60de040b18338c93e63903a2192274
SHA1: 152d7e9ba08b14e069ec22c58566a6507d2b4ce4
SHA256: d9dfa3c92d87fa69e91ce47d0cba69080c15a0d058707a6c9ce12fbbf9e991e1
SHA512: 269b1968072f042701a0c7a9f3a04bd2e732ce81daf68d3c17463eb94aeceb844b4a2964a6d1732030fee2ba95de844e6cac439173c256c132d897fe6e036460
Homepage: https://cran.r-project.org/package=ROI.plugin.symphony
Description: CRAN Package 'ROI.plugin.symphony' ('SYMPHONY' Plug-in for the 'R' Optimization Interface)
 Enhances the R Optimization Infrastructure ('ROI') package by registering
 the 'SYMPHONY' open-source solver from the COIN-OR suite. It allows for
 solving mixed integer linear programming (MILP) problems as well as all
 variants/combinations of LP, IP.

Package: r-cran-roi
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 549
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-registry, r-cran-slam, r-cran-checkmate
Suggests: r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-roi_1.0-1-1.ca2004.1_all.deb
Size: 465436
MD5sum: 90917dcb7f2bf90fdb96dff29ce3d373
SHA1: da3f315f4b486136f3bd5e6a1ab80821cdf79d35
SHA256: cef7b8c2fe5ca2235d99324582a2d9dff6c859918fd43668f1901732a27dcd51
SHA512: e6334bdbac684db0cd1c2a1ef12361e2e754d5484d49da43997d90db09ff70d0857116141df7b3f363978d0ad5fe3f2ad0d94573615949894cf28878e1b7dbd1
Homepage: https://cran.r-project.org/package=ROI
Description: CRAN Package 'ROI' (R Optimization Infrastructure)
 The R Optimization Infrastructure ('ROI') <doi:10.18637/jss.v094.i15> is a
 sophisticated framework for handling optimization problems in R.  Additional
 information can be found on the 'ROI' homepage
 <https://roi.r-forge.r-project.org/>.

Package: r-cran-roistats
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-roistats_0.1.1-1.ca2004.1_all.deb
Size: 61308
MD5sum: 158049c78512a5d5e54484cf87651df8
SHA1: 2992cb7dad7e6d2dbbff43f0b452cdd79f4444f0
SHA256: 9560f4d4c26a68487c2174f84073a85a33c31266ef517b2af7b90cea0523ce01
SHA512: 415e17389a1953e29a5f82f0c471ef5b749940f22a70a6febf6500ed58bb0de76eaf561b33402fe0a2d9dc2fc9f6f96999d380d1c74a32564aa87dc36d147aea
Homepage: https://cran.r-project.org/package=roistats
Description: CRAN Package 'roistats' (Convenience Functions for Applying Basic Stats to Sub-Groups)
 Easily applying same t-tests/basic data description across several
 sub-groups, with the output as a nice arranged data.frame. Multiple
 comparison and the significance symbols are also provided.

Package: r-cran-rolap
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 17636
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dm, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-snakecase, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-when, r-cran-xlsx
Suggests: r-cran-dbi, r-cran-dbplyr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-knitr, r-cran-lubridate, r-cran-magrittr, r-cran-maps, r-cran-pander, r-cran-pivottabler, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rolap_2.5.2-1.ca2004.1_all.deb
Size: 2293316
MD5sum: d01e1bca5667ed2dd5759976c8b398c7
SHA1: 14fac01eab9b556a7235ce569fd31d0473de6cf8
SHA256: ff293134b6110d6689b41390243a6c80543acfbc19a99be650621c30599cffa2
SHA512: b42e6aed0fb1b3e932b1d34a7433e0d378f0f43d1e3fc7d2cbb4cbf72a330be2ea82318395d945a1091c6a3158ff5db4f95c68d32d69d80297f24c66f5bedac9
Homepage: https://cran.r-project.org/package=rolap
Description: CRAN Package 'rolap' (Obtaining Star Databases from Flat Tables)
 Data in multidimensional systems is obtained from operational systems and is
 transformed to adapt it to the new structure.  Frequently, the operations to
 be performed aim to transform a flat table into a ROLAP (Relational On-Line
 Analytical Processing) star database. The main objective of the package is
 to allow the definition of these transformations easily. The implementation
 of the multidimensional database obtained can be exported to work with
 multidimensional analysis tools on spreadsheets or relational databases.

Package: r-cran-rollama
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4632
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-jsonlite, r-cran-prettyunits, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-base64enc, r-cran-covr, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rollama_0.2.2-1.ca2004.1_all.deb
Size: 3326044
MD5sum: 38b3fe0e94f01df6f12714fb7a8ddf4e
SHA1: 341eecd7e0c7fd316153bdd02e77c815f15a9d0a
SHA256: 40b5e0cac8885b1b24eee91437a1797b1f0aa2c746bc12fdf3fdf9c99b3c414d
SHA512: 3eea75657a7b29e2987e031fa08189ff68e1006c940f63efc216f4e7594a7c20ffe06e9cb75747832b8a228404c83b648ea899a329485ea49b85155480e5e0f8
Homepage: https://cran.r-project.org/package=rollama
Description: CRAN Package 'rollama' (Communicate with 'Ollama' to Run Large Language Models Locally)
 Wraps the 'Ollama' <https://ollama.com> API, which can be used to
 communicate with generative large language models locally.

Package: r-cran-rollbar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rollbar_0.1.0-1.ca2004.1_all.deb
Size: 22244
MD5sum: f7af6f5c09fce99e61862683483d0fe0
SHA1: b71fabdd7e84562c4a8c1bbfb8abbcbae51d3080
SHA256: cedadeecddada06f2186a22b5e472400508b22f9a2ebb05c45dfe967f8a0452a
SHA512: e0bc026b0188e1628bd3cfdc06fdec9462f772b32d63852bbf3b507156cb97b801c4f81414c4b469e300e169d13d2c44ec5687af6c2f26490b4356edc3ca5e3c
Homepage: https://cran.r-project.org/package=rollbar
Description: CRAN Package 'rollbar' (Error Tracking and Logging)
 Reports errors and messages to Rollbar, the error tracking platform
 <https://rollbar.com>.

Package: r-cran-rolldown
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-bookdown, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rolldown_0.2-1.ca2004.1_all.deb
Size: 84140
MD5sum: 6e0ad851b3fc363eeff67d89a0e24d27
SHA1: eae0ec800f1129df07b68645f7995afacd01cd9b
SHA256: cf997d4dfa678c34b3bb9fca1f638e3fa070cf930ade86f0d30432108938af0e
SHA512: d38a874e8d659feb8cd5bacc56459e028828c520ae0494cef3e785f58ff5a299916070abb4eaf19194d29c97facb0f928917bd716830f1f7a414791e483810e0
Homepage: https://cran.r-project.org/package=rolldown
Description: CRAN Package 'rolldown' (R Markdown Output Formats for Storytelling)
 R Markdown output formats based on JavaScript libraries such as 'Scrollama'
 (<https://github.com/russellsamora/scrollama>) for storytelling.

Package: r-cran-rollmatch
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rollmatch_2.0.4-1.ca2004.1_all.deb
Size: 2435616
MD5sum: e9867abb91915888ec9636d13f4bf2bf
SHA1: 8e7687310dc54a5abd2bf028e90a94b3ae696648
SHA256: f6bdea4795ee6f2b7bb4bfbd7be4da4b39ce38347d6783ef0514c0f9cbeb2cf7
SHA512: 9141611c2c94d55c01da304679078da464ec5a7f6ce9658867fe8ae8a84784b05a362acc8530f307eb53ae674736b36732b753e87d455781ee53e050b5a6bf11
Homepage: https://cran.r-project.org/package=rollmatch
Description: CRAN Package 'rollmatch' (Rolling Entry Matching)
 Functions to perform propensity score matching on rolling entry
 interventions for which a suitable "entry" date is not observed for
 nonparticipants. For more details, please reference Witman et al. (2018)
 <doi:10.1111/1475-6773.13086>.

Package: r-cran-rollup
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 792
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-magrittr, r-cran-sparklyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rollup_0.1.0-1.ca2004.1_all.deb
Size: 307720
MD5sum: b570c88784e99098e80687d793698d02
SHA1: 8a9a8f5eb1b702fba18c2d003f66651d4f256f56
SHA256: 11b536fb2b528d768c8312794511bc869ce73a9d92e5b82f90dbdbb14a5872b5
SHA512: 49c8a1f0ee615ad7e0d958a4c6df07e0bb15d0ef8c4e3a1fc9fb8dabccfccb1ca2fc0e162dbe92671a8488009612c47fbf5a69d243ef78447a4ccb08257666f9
Homepage: https://cran.r-project.org/package=rollup
Description: CRAN Package 'rollup' (A Tidy Grouping Set Aggregation)
 A Tidy implementation of 'grouping sets', 'rollup' and 'cube' - extensions
 of the 'group_by' clause that allow for computing multiple 'group_by'
 clauses in a single statement. For more detailed information on these
 functions, please refer to "Enhanced Aggregation, Cube, Grouping and Rollup"
 <https://cwiki.apache.org/confluence/display/Hive/Enhanced+Aggregation%2C+Cube%2C+Grouping+and+Rollup>.

Package: r-cran-rolluptree
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rolluptree_0.3.2-1.ca2004.1_all.deb
Size: 257908
MD5sum: 9a09aee545163d0c26b42e852c375d70
SHA1: 4d57e9c62f3de730609edfb989798431298ca82f
SHA256: 41b115f7e6db418006dbaa1ba8a1f289eb8d8cf8c6c78615ac9d3086bc11244c
SHA512: f51cf569957de868607764b04e68ed4aa3bedeaaa4660ae30b0c1aefc014aceb7c244d81f43fa3d4d72a3219bf108d7f10d78f804530c72e0e82d6b9fb26a710
Homepage: https://cran.r-project.org/package=rollupTree
Description: CRAN Package 'rollupTree' (Perform Recursive Computations)
 Mass rollup for a Bill of Materials is an example of a class of computations
 in which elements are arranged in a tree structure and some property of each
 element is a computed function of the corresponding values of its child
 elements. Leaf elements, i.e., those with no children, have values assigned.
 In many cases, the combining function is simple arithmetic sum; in other
 cases (e.g., mass properties), the combiner may involve other information
 such as the geometric relationship between parent and child, or statistical
 relations such as root-sum-of-squares (RSS). This package implements a
 general function for such problems. It is adapted to specific recursive
 computations by functional programming techniques; the caller passes a
 function as the update parameter to rollup() (or, at a lower level, passes
 functions as the get, set, combine, and override parameters to
 update_prop()) at runtime to specify the desired operations. The
 implementation relies on graph-theoretic algorithms from the 'igraph'
 package of Csárdi, et al. (2006 <doi:10.5281/zenodo.7682609>).

Package: r-cran-roloc
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roloc_0.1-2-1.ca2004.1_all.deb
Size: 114752
MD5sum: 109fb0a80f95e09c642df11a8471ea76
SHA1: dfc33908dc42df2e82720a10ade15223ba10ba6b
SHA256: 54da8dd0a8b446652d5e5f2aa251ae0ca61a80b7adca25af2e0650749d3deba8
SHA512: 88bdfd3e3048d965f7d97c6167e4f3a903015e0ce90f07dab9586a1220687c38844e87d5131cffdc041ea99748bc985a80a854d864a2788400f44f85696ecc5f
Homepage: https://cran.r-project.org/package=roloc
Description: CRAN Package 'roloc' (Convert Colour Specification to Colour Name)
 Functions to convert an R colour specification to a colour name. The user
 can select and create different lists of colour names and different colour
 metrics for the conversion.

Package: r-cran-rolocisccnbs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5574
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roloc, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-rolocisccnbs_0.1-1.ca2004.1_all.deb
Size: 4283856
MD5sum: cd0f448edcfb6136d438d5a7a22dd880
SHA1: 602f12c710cb47c40a3d224f35c3d94a48bc6402
SHA256: 228ef0df42a367132db57a8e6dabaa51c5c115568601716f914f6fc49acb05ac
SHA512: 28846089d3ba13dc4fbb422a105bd80f96b683a4791320b95a2b1731f62c911ce3e2ae7dc58ef44de5de2109569fa08922cc8a9dcc8b712462525827eb742e94
Homepage: https://cran.r-project.org/package=rolocISCCNBS
Description: CRAN Package 'rolocISCCNBS' (A Colour List and Colour Metric Based on the ISCC-NBS System ofColor Designation)
 A colour list and colour metric based on the ISCC-NBS System of Color
 Designation for use with the 'roloc' package for converting colour
 specifications to colour names.

Package: r-cran-rologit
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-evd
Filename: pool/dists/focal/main/r-cran-rologit_0.1.3-1.ca2004.1_all.deb
Size: 126560
MD5sum: c4ecffc5a3786c0ead54199641f0c019
SHA1: d4621142e3c70d821a2b4f1d1d926086aaafe966
SHA256: 1b53dfa9dc4c8e76bd528268583847fc8b7e22426e851f08843bed6eba062358
SHA512: 9e8bbda258099865ce8042cdb32d51ecc022bb69f93553c5eda93a1db0e4ed41918364b591751543b5254ab67ce6566ce1dca33b32235c14fcf1f5468126ff3f
Homepage: https://cran.r-project.org/package=ROlogit
Description: CRAN Package 'ROlogit' (Fit Rank-Ordered Logit (RO-Logit) Model)
 Implements the rank-ordered logit (RO-logit) model for stratified analysis
 of continuous outcomes introduced by Tan et al. (2017)
 <doi:10.1177/0962280217747309>. Model diagnostics based on the heuristic
 residuals and estimates in linear scales are available from the package, and
 outcomes with ties are supported.

Package: r-cran-rolr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rolr_1.0.0-1.ca2004.1_all.deb
Size: 46060
MD5sum: b152108f5154a07967562f955914fd2e
SHA1: 3d22e48a5ca803ddd9f4c1a30309178836388b34
SHA256: 186d388e027dd2c1f74525c864bd6b0e8c063b2c0a7dea7036143d978ac7a851
SHA512: 254decf8e95c1eaacc80cb9e5dddc27129c517f4c79ea36ff5f7db51ffed8d7d48a080e951d09176eea936615e6ce3182660a436c30f0d86b668843d709c966c
Homepage: https://cran.r-project.org/package=rolr
Description: CRAN Package 'rolr' (Finding Optimal Three-Group Splits Based on a Survival Outcome)
 Provides fast procedures for exploring all pairs of cutpoints of a single
 covariate with respect to survival and determining optimal cutpoints using a
 hierarchical method and various ordered logrank tests.

Package: r-cran-rolwinmulcor
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools, r-cran-zoo, r-cran-pracma, r-cran-colorspace, r-cran-scales
Filename: pool/dists/focal/main/r-cran-rolwinmulcor_1.2.0-1.ca2004.1_all.deb
Size: 125364
MD5sum: d28fd7bf9a256fd1fe4fd82cf9dbdc05
SHA1: 2ba9a4b0d924d7a66e336c8a67468772c8e18220
SHA256: 40dd8d07062f153c635b7261a0e0848503f60e994255330c8d6aa7dbb3ac5e06
SHA512: 4e78348f885af46ba3f55b62aa40ba384a64e14bc169cd22f813a90bef7a40058c4da8005c83d5b6fd8ce63f91654dd74df64377cabba60455965feb77b3376f
Homepage: https://cran.r-project.org/package=RolWinMulCor
Description: CRAN Package 'RolWinMulCor' (Subroutines to Estimate Rolling Window Multiple Correlation)
 Rolling Window Multiple Correlation ('RolWinMulCor') estimates the rolling
 (running) window correlation for the bi- and multi-variate cases between
 regular (sampled on identical time points) time series, with especial
 emphasis to ecological data although this can be applied to other kinds of
 data sets. 'RolWinMulCor' is based on the concept of rolling, running or
 sliding window and is useful to evaluate the evolution of correlation
 through time and time-scales. 'RolWinMulCor' contains six functions. The
 first two focus on the bi-variate case: (1) rolwincor_1win() and (2)
 rolwincor_heatmap(), which estimate the correlation coefficients and the
 their respective p-values for only one window-length (time-scale) and
 considering all possible window-lengths or a band of window-lengths,
 respectively. The second two functions: (3) rolwinmulcor_1win() and (4)
 rolwinmulcor_heatmap() are designed to analyze the multi-variate case,
 following the bi-variate case to visually display the results, but these two
 approaches are methodologically different. That is, the multi-variate case
 estimates the adjusted coefficients of determination instead of the
 correlation coefficients. The last two functions: (5) plot_1win() and (6)
 plot_heatmap() are used to represent graphically the outputs of the four
 aforementioned functions as simple plots or as heat maps. The functions
 contained in 'RolWinMulCor' are highly flexible since these contains several
 parameters to control the estimation of correlation and the features of the
 plot output, e.g. to remove the (linear) trend contained in the time series
 under analysis, to choose different p-value correction methods (which are
 used to address the multiple comparison problem) or to personalise the plot
 outputs. The 'RolWinMulCor' package also provides examples with synthetic
 and real-life ecological time series to exemplify its use. Methods derived
 from H. Abdi. (2007)
 <https://personal.utdallas.edu/~herve/Abdi-MCC2007-pretty.pdf>, R. Telford
 (2013) <https://quantpalaeo.wordpress.com/2013/01/04/, J. M.
 Polanco-Martinez (2019) <doi:10.1007/s11071-019-04974-y>, and J. M.
 Polanco-Martinez (2020) <doi:10.1016/j.ecoinf.2020.101163>.

Package: r-cran-rolwinwavcor
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-waveslim
Filename: pool/dists/focal/main/r-cran-rolwinwavcor_0.4.0-1.ca2004.1_all.deb
Size: 94988
MD5sum: 3826dc804f949695f383b9b1dbc73924
SHA1: c21f826a65799278718438d7364414f56b8fede2
SHA256: f1ea4934218297e5b2dc35aaf22d98b92300db3a8d0d39dc28511d5daf530b29
SHA512: ce11adfa8832c830429adcf8f6f35f6dd08cc9e3deb9b26f1de8adeaebe10ed017344c44d06e20b1d8af454903e0c4a2ad397e339aa0493ebc0d08bc5a1eedd8
Homepage: https://cran.r-project.org/package=RolWinWavCor
Description: CRAN Package 'RolWinWavCor' (Estimate Rolling Window Wavelet Correlation Between Two TimeSeries)
 Estimates and plots as a heat map the rolling window wavelet correlation
 (RWWC) coefficients statistically significant (within the 95% CI) between
 two regular (evenly spaced) time series. 'RolWinWavCor' also plots at the
 same graphic the time series under study. The 'RolWinWavCor' was designed
 for financial time series, but this software can be used with other kinds of
 data (e.g., climatic, ecological, geological, etc). The functions contained
 in 'RolWinWavCor' are highly flexible since these contains some parameters
 to personalize the time series under analysis and the heat maps of the
 rolling window wavelet correlation coefficients. Moreover, we have also
 included a data set (named EU_stock_markets) that contains nine European
 stock market indices to exemplify the use of the functions contained in
 'RolWinWavCor'. Methods derived from Polanco-Martínez et al (2018)
 <doi:10.1016/j.physa.2017.08.065>).

Package: r-cran-romdb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-httr, r-cran-stringr, r-cran-rodbc, r-cran-magick
Filename: pool/dists/focal/main/r-cran-romdb_0.1.0-1.ca2004.1_all.deb
Size: 129680
MD5sum: ecebd4bc236bc2859a566fe0247c8321
SHA1: 9ad726bb7465c216dfa1e61bfbb98c8cd1755fed
SHA256: 615de3831131e1696e03192fa0dbc1da58cb24762b1a1fa251288110cc0f49ba
SHA512: 7fa610bf7de3fb71324f8f441e8c53ce194831dde88b306d40387fa05e5cf7cdce8c7918a4ff31576477d039ca723fe14f7840f28e49df256bbf15a60ebe3d61
Homepage: https://cran.r-project.org/package=ROMDB
Description: CRAN Package 'ROMDB' (Get 'OMDB' API Multiple Information)
 Load multiple movies, series, actors, directors etc from 'OMDB' API. More
 information in: <http://www.omdbapi.com/> .

Package: r-cran-romic
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1725
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-readr, r-cran-reshape2, r-cran-rlang, r-cran-shiny, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-bioc-impute, r-cran-lazyeval, r-cran-plotly, r-cran-rmarkdown, r-cran-usethis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-romic_1.1.3-1.ca2004.1_all.deb
Size: 844616
MD5sum: bf76a3349f17f3690d296f07b1475ffa
SHA1: 28a9d7ad3b19b8fc0ffd0130e748a0889cfaa2cb
SHA256: f26a8c56b73243c16ee51f768368c94e18afdcc17a4bb61ad00ebb68f518124f
SHA512: fb093eb2c2669964e795b1a2fed1e92377873af8f70fc386690465a9d5ad8b40fb1c8122e4347be9524e805486614f93a5de10a82b24ab3a7ac9aa0ab6d84701
Homepage: https://cran.r-project.org/package=romic
Description: CRAN Package 'romic' (R for High-Dimensional Omic Data)
 Represents high-dimensional data as tables of features, samples and
 measurements, and a design list for tracking the meaning of individual
 variables. Using this format, filtering, normalization, and other
 transformations of a dataset can be carried out in a flexible manner.
 'romic' takes advantage of these transformations to create interactive
 'shiny' apps for exploratory data analysis such as an interactive heatmap.

Package: r-cran-ronfhir
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ronfhir_0.4.0-1.ca2004.1_all.deb
Size: 144464
MD5sum: 1cd2ab51aa1e329b945c9997bc969038
SHA1: 8dcbfc882d7eeba60bd02094d70bd27eb0a62239
SHA256: 1b842146ac8e26c5d9c9128b5a1cac8a33bca626b304f083cee728196b6af8a7
SHA512: 7f59939dd6608f28b9610c747a15e858d12810345099417a176e1546fc50fc3e645af9624d5b266728377be1fef476b075df0f0248fc6cb6d921d6a45bfa8b01
Homepage: https://cran.r-project.org/package=RonFHIR
Description: CRAN Package 'RonFHIR' (Read and Search Interface to the 'HL7 FHIR' REST API)
 R on FHIR is an easy to use wrapper around the 'HL7 FHIR' REST API (STU 3
 and R4). It provides tools to easily read and search resources on a FHIR
 server and brings the results into the R environment. R on FHIR is based on
 the FhirClient of the official 'HL7 FHIR .NET API', also made by Firely.

Package: r-cran-roopsd
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-lmoments, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-roopsd_0.3.9-1.ca2004.1_all.deb
Size: 418924
MD5sum: 109676c3a46f2e6aa6de1be5fd850635
SHA1: e4239e2aba7cb5b5d89596a38abfe1507416b8f3
SHA256: 77992e609cc957c8dfb5a6423c6c74c8c823eb77f3ed4bf5d879687972985425
SHA512: 6a94d29bb394033c4d9fac2dc703af6a0ac1371f7bfee5002253e126cab60a19222d92af922580734312c8f04029352b750c85aceb22a4b2cf8a0d3c939fc32b
Homepage: https://cran.r-project.org/package=ROOPSD
Description: CRAN Package 'ROOPSD' (R Object Oriented Programming for Statistical Distribution)
 Statistical distribution in OOP (Object Oriented Programming) way.  This
 package proposes a R6 class interface to classic statistical distribution,
 and new distributions can be easily added with the class AbstractDist. A
 useful point is the generic fit() method for each class, which uses a
 maximum likelihood estimation to find the parameters of a dataset, see, e.g.
 Hastie, T. and al (2009) <isbn:978-0-387-84857-0>. Furthermore, the
 rv_histogram class gives a non-parametric fit, with the same accessors that
 for the classic distribution. Finally, three random generators useful to
 build synthetic data are given: a multivariate normal generator, an
 orthogonal matrix generator, and a symmetric positive definite matrix
 generator, see Mezzadri, F. (2007) <arXiv:math-ph/0609050>.

Package: r-cran-roots
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-animation, r-cran-rarpack, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-roots_1.0-1.ca2004.1_all.deb
Size: 120364
MD5sum: cc73e710b62b111131ffb35874b4df25
SHA1: a53123728f76ebe3525bcb3d1bc3219614f57fbc
SHA256: 9f66277a67c2d234e8f203bd8b2f169164b9fa4a6fda2a870a57d230d403d27e
SHA512: f185e646eebce66c1ff6b0fe816a6e5a819a51630ad437f9752b707d0623fe1a955957098cf17f3d603e3be6675cc1fe7e7877f8ea67d3dc2d3da9c903a76ed1
Homepage: https://cran.r-project.org/package=roots
Description: CRAN Package 'roots' (Reconstructing Ordered Ontogenic Trajectories)
 A set of tools to reconstruct ordered ontogenic trajectories from single
 cell RNAseq data.

Package: r-cran-rootsextremainflections
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iterators, r-cran-foreach, r-cran-doparallel, r-cran-inflection
Filename: pool/dists/focal/main/r-cran-rootsextremainflections_1.2.1-1.ca2004.1_all.deb
Size: 175192
MD5sum: 1e2473dea2ea1c27f1f0a4a254126885
SHA1: 4e76c1cc3077b9db5af2ae1ece829226f40a3ce0
SHA256: 00e33f616a7333685575ea712b4fad42621afc30153551bef97a55215f16bc3d
SHA512: 0838e461a6aa44e495cecd4ccd9631ba8c56dd7826588bd4a3cd26431f7c556178f0963d13d4b52a49378988c3cac08a14d3cc4d9c8c232766855e72ca3f21d6
Homepage: https://cran.r-project.org/package=RootsExtremaInflections
Description: CRAN Package 'RootsExtremaInflections' (Finds Roots, Extrema and Inflection Points of a Curve)
 Implementation of Taylor Regression Estimator (TRE), Tulip Extreme Finding
 Estimator (TEFE), Bell Extreme Finding Estimator (BEFE), Integration Extreme
 Finding Estimator (IEFE) and Integration Root Finding Estimator (IRFE) for
 roots, extrema and inflections of a curve .  Christopoulos, DT (2019)
 <doi:10.13140/RG.2.2.17158.32324> .  Christopoulos, DT (2016)
 <doi:10.2139/ssrn.3043076> .  Christopoulos, DT (2016)
 <https://veltech.edu.in/wp-content/uploads/2016/04/Paper-04-2016.pdf> .
 Christopoulos, DT (2014) <arXiv:1206.5478v2 [math.NA]> .

Package: r-cran-rop
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-rop_1.0-1.ca2004.1_all.deb
Size: 49024
MD5sum: ce3d8fca9fea1c18fa957453c39f0374
SHA1: 837633669ca9b2459cd701c164d3145634d2402d
SHA256: 6e2e0aa0d45d9a0e986d4fa504795fbccb6d9a81a71f1d475c576706ae1257e6
SHA512: e98cc3baf88a943ff081f1d87955f344107bacceb36fa62a50e0b767bdb610fbd51173c432316f41364a0fdd008aa6759d2a24114b7b29260a04f7efd75eb4d7
Homepage: https://cran.r-project.org/package=ROP
Description: CRAN Package 'ROP' (Regression Optimized: Numerical Approach for MultivariateClassification and Regression Trees)
 Trees Classification and Regression using multivariate nodes calculated by
 an exhaustive numerical approach. We propose a new concept of decision tree,
 including multivariate knots and non hierarchical pathway. This package's
 model uses a multivariate nodes tree that calculates directly a risk score
 for each observation for the state Y observed. Nguyen JM, Gaultier A,
 Antonioli D (2015) <doi:10.1016/j.respe.2018.03.088> Castillo JM, Knol AC,
 Nguyen JM, Khammari A, Saint Jean M, Dreno B (2016)
 <doi:10.1684/ejd.2016.2826> Vildy S, Nguyen JM, Gaultier A, Khammari A,
 Dreno B (2017) <doi:10.1684/ejd.2016.2955> Nguyen JM, Gaultier A, Antonioli
 D (2018) <doi:10.1016/j.respe.2018.03.088>.

Package: r-cran-rope
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1008
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-matrix, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rope_1.0-1.ca2004.1_all.deb
Size: 960696
MD5sum: 2572891bc59b1c7a299385ac9d400d4a
SHA1: 44f856e7e07d3173094646cf92f7ede4096a620d
SHA256: fb78ac8429c3498f450ffe0d62292bbc5b1c4a3bad1b75b4f036a19fab159f5c
SHA512: 88ac39a69741fa515dc97e4463f24ba6bc354f6b86a73dcf2a160b3eb95471709b2462e435c33c5c21435d6a4d0244721aedc16d5e8792f3c458edc334aef9b4
Homepage: https://cran.r-project.org/package=rope
Description: CRAN Package 'rope' (Model Selection with FDR Control of Selected Variables)
 Selects one model with variable selection FDR controlled at a specified
 level. A q-value for each potential variable is also returned. The input,
 variable selection counts over many bootstraps for several levels of
 penalization, is modeled as coming from a beta-binomial mixture
 distribution.

Package: r-cran-ropenblas
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glue, r-cran-stringr, r-cran-magrittr, r-cran-git2r, r-cran-pingr, r-cran-cli, r-cran-getpass, r-cran-rvest, r-cran-withr, r-cran-rlang, r-cran-fs
Filename: pool/dists/focal/main/r-cran-ropenblas_0.4.0-1.ca2004.1_all.deb
Size: 59344
MD5sum: 0fe4bf6160a48713c7d258b574d4772b
SHA1: 1c131572105788a31d531b778ea94fc59748d961
SHA256: afe544658c2aac57770d7eae8c84179bd653d6f805f22b2d315715e581d81a14
SHA512: 4f530d55e6be4f0fab33045663e27a50c5780c58c455a0a366fa171b40199e9b0107be03bcf6176fe943df360a46f0bf4b619f3dd304a0b61ab93734233835dc
Homepage: https://cran.r-project.org/package=ropenblas
Description: CRAN Package 'ropenblas' (Download, Compile and Link 'OpenBLAS' Library with R)
 The 'ropenblas' package (<https://prdm0.github.io/ropenblas/>) is useful for
 users of any 'GNU/Linux' distribution. It will be possible to download,
 compile and link the 'OpenBLAS' library (<https://www.openblas.net/>) with
 the R language, always by the same procedure, regardless of the 'GNU/Linux'
 distribution used. With the 'ropenblas' package it is possible to download,
 compile and link the latest version of the 'OpenBLAS' library even the
 repositories of the 'GNU/Linux' distribution used do not include the latest
 versions of 'OpenBLAS'. If of interest, older versions of the 'OpenBLAS'
 library may be considered. Linking R with an optimized version of 'BLAS'
 (<https://netlib.org/blas/>) may improve the computational performance of R
 code. The 'OpenBLAS' library is an optimized implementation of 'BLAS' that
 can be easily linked to R with the 'ropenblas' package.

Package: r-cran-ropencvlite
Architecture: all
Version: 4.110.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ropencvlite_4.110.0-1.ca2004.1_all.deb
Size: 54572
MD5sum: 2e447d69bffa815e513789acb1bec044
SHA1: 80af0d2e44f05c303acc5c518c3829584251bb02
SHA256: e39fdbe67a3d638f12be9b9f25904232b9c971efc2e8b3f805ecfc144cb14877
SHA512: 86a3fee0da06deac4e2293b8b4a55536246ab390ff34a40c9f54abe5b98fb2cf50f03c0842dd3c9053bd3b7f3a87072e55a773cf5a21b6ecff35ed52b85e65c3
Homepage: https://cran.r-project.org/package=ROpenCVLite
Description: CRAN Package 'ROpenCVLite' (Helper Package for Installing OpenCV with R)
 Installs 'OpenCV' for use by other packages. 'OpenCV' <https://opencv.org/>
 is library of programming functions mainly aimed at real-time computer
 vision. This 'Lite' version installs the stable base version of 'OpenCV' and
 some of its experimental externally contributed modules. It does not provide
 R bindings directly.

Package: r-cran-ropendata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-ropendata_0.1.0-1.ca2004.1_all.deb
Size: 25432
MD5sum: 751c985b0108ac52bcda3566dcef9e22
SHA1: b4cc99708965f2493acf32499ca3f452b445cac5
SHA256: 27be298a2240a4eccab5d4b4e1d619a9d96cd9ee4b3301ebf6e5b57f795ea18b
SHA512: b7bc0803f4b4cfdaa79c659613aacf0796feacd81e295b3e166a0e007805221610eb2e26991a3e50cfa300b831f844962727c7b4e968615b2d5f564638fdb1cf
Homepage: https://cran.r-project.org/package=ropendata
Description: CRAN Package 'ropendata' (Query and Download 'Rapid7' 'Cybersecurity' Data Sets)
 'Rapid7' collects 'cybersecurity' data and makes it available via their
 'Open Data' <http://opendata.rapid7.com> portal which has an API. Tools are
 provided to assist in querying for available data sets and downloading any
 data set authorized to a free, registered account.

Package: r-cran-ropendota
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ropendota_0.1.2-1.ca2004.1_all.deb
Size: 45604
MD5sum: a69eeb0c9c510c218d6765aa13bbd233
SHA1: f2eefe1f8fb562bdfa4880b821f153ecf6c37d6a
SHA256: f37fc44390945fddabd50d55525ba91f66ac3abf89c9d89ad95a25ce843f9da4
SHA512: 34999fb8e25000b720592ced089e9658f555d5d17ec3429d508cd43fce6aa927b383d79940b7b4553a1aa02247eca05241655d0b75a8107a59b101a1dd145353
Homepage: https://cran.r-project.org/package=ROpenDota
Description: CRAN Package 'ROpenDota' (Access OpenDota Services in R)
 Provides a client for the API of OpenDota. OpenDota is a web service which
 is provide DOTA2 real time data. Data is collected through the Steam WebAPI.
 With ROpenDota you can easily grab the latest DOTA2 statistics in R
 programming such as latest match on official international competition,
 analyzing your or enemy performance to learn their strategies,etc. Please
 see <https://github.com/rosdyana/ROpenDota> for more information.

Package: r-cran-ropenfigi
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-ropenfigi_0.2.8-1.ca2004.1_all.deb
Size: 21752
MD5sum: 250c931eb6d68d1236a954439b449ead
SHA1: de08788a7d854da1169a7118cd043b4240ecbe50
SHA256: 6a4442dee292f63053cb42fcf617abceac85a94c2d69b5c06d050e5da980a9aa
SHA512: 9d146d315792e108339c3faf2626b5207d4155234a41f57edddf1cf1087ea81bfa19cf619bc4630fc54239824d58df2d0971e25176939b1076c5db27ff37c284
Homepage: https://cran.r-project.org/package=ROpenFIGI
Description: CRAN Package 'ROpenFIGI' (R Interface to OpenFIGI)
 Provide a simple interface to Bloomberg's OpenFIGI API. Please see
 <https://openfigi.com> for API details and registration. You may be eligible
 to have an API key to accelerate your loading process.

Package: r-cran-ropenmeteo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4904
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-lubridate, r-cran-glue, r-cran-imputets, r-cran-httr2, r-cran-jsonlite
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-readr, r-cran-tibble, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ropenmeteo_0.1.1-1.ca2004.1_all.deb
Size: 532000
MD5sum: cfa4b667d549b5f3b4904095f5c7598b
SHA1: 392e4d09f79629ed33f02c0a4701419f1ae6c3b0
SHA256: 6f6e704da24158e88c1f7290c5ef143122ce06732ba0f343449df072e657ec83
SHA512: f31a19961b01ba5bc582459ba7d96b064217102c118856169b17f10ee42bd9d043fcaa8db4a48518448ffd40961cd7bd60c496572eb3eadf199d84a046960d38
Homepage: https://cran.r-project.org/package=ropenmeteo
Description: CRAN Package 'ropenmeteo' (Wrappers for 'Open-Meteo' API)
 Wrappers for the Application Programming Interface from the
 <https://open-meteo.com> project along with helper functions.  The
 <https://open-meteo.com> project streamlines access to a range of publicly
 historical and forecast meteorology data from agencies across the world.

Package: r-cran-ropensecretsapi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-ropensecretsapi_1.0.1-1.ca2004.1_all.deb
Size: 33080
MD5sum: 7e043899d03aca509597b25d3b09d018
SHA1: 2c96982b22cde4228c31f5662edb7903b1a6fd47
SHA256: de5d12986a95ccfc6fb6e06ba42222b9868d49c9083d04898547656b2e8cac7f
SHA512: 52ed671f5e7108f2b417c691f1b673ceaf1d597cd693d6ec2817e55f04167d5d5d29452006ddae3e6201cbf167f992298e14cbcc8e340c48b649818edddc1402
Homepage: https://cran.r-project.org/package=ropensecretsapi
Description: CRAN Package 'ropensecretsapi' (R Package for the OpenSecrets.org API)
 An R package for the OpenSecrets.org web services API.

Package: r-cran-ropenweathermap
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rcurl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ropenweathermap_1.1-1.ca2004.1_all.deb
Size: 18800
MD5sum: 49c3f132b420962ec61a0d665b44ea43
SHA1: fe36bdd7aa6841bb57a0507641d8688af04a0837
SHA256: 34acaf4344e7ddefc197866e9ba876e10cf89b7e6e89c8e3725d72a0bbe7ae20
SHA512: da74f76f0d66c054432fcf77daa15917bbdb818e503ca235e9da44ab82f3cff7c5b38ceb4d772c4cdf0f3673e8bda616fa87e3c3ff54c5621770bfbacfa564ff
Homepage: https://cran.r-project.org/package=ROpenWeatherMap
Description: CRAN Package 'ROpenWeatherMap' (R Interface to OpenWeatherMap API)
 OpenWeatherMap (OWM) <http://openweathermap.org/api> is a service providing
 weather related data.  This package can be used to access current weather
 data for one location or several locations.  It can also be used to forecast
 weather for 5 days with data for every 3 hours.

Package: r-cran-roperators
Architecture: all
Version: 1.3.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-prettydoc, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-roperators_1.3.14-1.ca2004.1_all.deb
Size: 176084
MD5sum: 3587eee44e1cc354310742c3fe2926be
SHA1: dcba180b5c65f1b3ce4e465c89dcf15e7c0d85c0
SHA256: ab1962d956bbf33ee18193ce781bbf84cafd78d200a353bc09dc6e5a7fd4eb63
SHA512: 01eb3dcf12ae9370fdd963ac38e6b7211b9511b018178230d0debf83343c8752badec2e7e174a607b00b37d0fdfa8584eb3af0c39d6b807499b47422ded647f7
Homepage: https://cran.r-project.org/package=roperators
Description: CRAN Package 'roperators' (Additional Operators to Help you Write Cleaner R Code)
 Provides string arithmetic, reassignment operators, logical operators that
 handle missing values, and extra logical operators such as floating point
 equality and all or nothing. The intent is to allow R users to write code
 that is easier to read, write, and maintain while providing a friendlier
 experience to new R users from other language backgrounds (such as 'Python')
 who are used to concepts such as x += 1 and 'foo' + 'bar'.  Includes
 operators for not in, easy floating point comparisons, === equivalent, and
 SQL-like like operations (), etc.  We also added in some extra helper
 functions, such as OS checks, pasting in Oxford comma format, and functions
 to get the first, last, nth, or most common element of a vector or word in a
 string.

Package: r-cran-ropercenter
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1518
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rselenium, r-cran-dplyr, r-cran-foreign, r-cran-haven, r-cran-magrittr, r-cran-netstat, r-cran-purrr, r-cran-readr, r-cran-rio, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ropercenter_0.3.2-1.ca2004.1_all.deb
Size: 1007388
MD5sum: f0d544f0780aff66b5a3d14af99edcdb
SHA1: 296d4cd9e3f06e972a03e98371fbd6162016c950
SHA256: 9306086d523e7f16713dc57876a5887c998996a16b6ae8ce5f2999f63571446e
SHA512: cf337ca0b4ae71c6bc5cbd09482cad597caf6493aa2b8ec1a90711b5554d9385a00c171439a8137a19ea56bd03d1516f2a616d19498794ca63ccb86b96b73a9a
Homepage: https://cran.r-project.org/package=ropercenter
Description: CRAN Package 'ropercenter' (Reproducible Data Retrieval from the Roper Center Data Archive)
 Reproducible, programmatic retrieval of datasets from the Roper Center data
 archive.  The Roper Center for Public Opinion Research
 <https://ropercenter.cornell.edu> maintains the largest archive of public
 opinion data in existence, but researchers using these datasets are caught
 in a bind.  The Center's terms and conditions bar redistribution of
 downloaded datasets, but to ensure that one's work can be reproduced,
 assessed, and built upon by others, one must provide access to the raw data
 one employed.  The `ropercenter` package cuts this knot by providing
 registered users with programmatic, reproducible access to Roper Center
 datasets from within R.

Package: r-cran-roprov
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fastdigest, r-cran-codedepends, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-roprov_0.1.2-1.ca2004.1_all.deb
Size: 101024
MD5sum: cbe729fbb6584b458113208ddaf88a57
SHA1: ef26f20282dc59129d1e75e04d4aacdb399c19af
SHA256: c08c3215248fd1b6a1df603495928e876ff056ef682b0d4db15d40d1e0a7c832
SHA512: 845c29d3cc3c0e168bd8637b6172e3e21b98c05909f14b940d6dc6bcb80335b33480954ab7632e23e926c9f71d5f53797fe2ff6e94364ec6a731ff487f1272b6
Homepage: https://cran.r-project.org/package=roprov
Description: CRAN Package 'roprov' (Low-Level Support for Provenance Capture Between in-Memory RObjects)
 A suite of classes and methods which provide low-level support for modeling
 provenance between in-memory R objects. This is an infrastructure package
 and is not intended to be used directly by end-users.

Package: r-cran-roptest
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-distr, r-cran-distrex, r-cran-distrmod, r-cran-randvar, r-cran-robastbase, r-cran-startupmsg, r-cran-mass
Suggests: r-cran-roblox
Filename: pool/dists/focal/main/r-cran-roptest_1.3.5-1.ca2004.1_all.deb
Size: 1175524
MD5sum: ab0a0937087c296b8805226905f2c898
SHA1: 40e2e812f1e973036800827d39f8ef87270acb01
SHA256: 25949b516a257912b255ae10a7fd65f5ab60b03a2ff5bed9df2fffaaca6ce0fe
SHA512: e0a79627b66d82462b399a8f685c535167cd6c0c1253d35dc45e3c692df808593833f3f6fb6aa65074a0ae8e5debe97d552ce90467c184d449954403d06f8f6f
Homepage: https://cran.r-project.org/package=ROptEst
Description: CRAN Package 'ROptEst' (Optimally Robust Estimation)
 R infrastructure for optimally robust estimation in general smoothly
 parameterized models using S4 classes and methods as described Kohl, M.,
 Ruckdeschel, P., and Rieder, H. (2010), <doi:10.1007/s10260-010-0133-0>, and
 in Rieder, H., Kohl, M., and Ruckdeschel, P. (2008),
 <doi:10.1007/s10260-007-0047-7>.

Package: r-cran-roptestold
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1637
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd
Filename: pool/dists/focal/main/r-cran-roptestold_1.2.0-1.ca2004.1_all.deb
Size: 1054392
MD5sum: 45d19f6f1bb1d303c9c427b9a5d20090
SHA1: ae9d656b1e7e465f1d46d3910a5b6d626bafa892
SHA256: cd1fdac99e272fb46b570b22cc4d70c96d51ca96476f45b1092d2280c43a6af2
SHA512: c58de4aaab543b649e0c5a69d3d2ba964ba06aa0ddb16870317998f42252979bcf1ac852e7b002f9f0de10191110b20a4cc7f9ff09d60d0cbd34e63ca366b1ea
Homepage: https://cran.r-project.org/package=ROptEstOld
Description: CRAN Package 'ROptEstOld' (Optimally Robust Estimation - Old Version)
 Optimally robust estimation using S4 classes and methods. Old version still
 needed for current versions of ROptRegTS and RobRex.

Package: r-cran-roptimus
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3635
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-roptimus_3.0.0-1.ca2004.1_all.deb
Size: 1103880
MD5sum: ec6d1da178264fb369970e12e44c90aa
SHA1: 1f44fc95ae07d9037ee787ccd68f6b7aa990f4f9
SHA256: 3b23455969108e8ae9e4c0d994b6225780254be8acc9467e88fca2d86832398e
SHA512: 9dacff8f2af0b58ba2183eed6b6bf68fe73b23ba77e4c99efb99eaa04e007913f2ceaf55eff63434fc142ef8e3eee2ae366143082a7cf46cda728eae852fd977
Homepage: https://cran.r-project.org/package=ROptimus
Description: CRAN Package 'ROptimus' (A Parallel General-Purpose Adaptive Optimisation Engine)
 A general-purpose optimisation engine that supports i) Monte Carlo
 optimisation with Metropolis criterion [Metropolis et al. (1953)
 <doi:10.1063/1.1699114>, Hastings (1970) <doi:10.1093/biomet/57.1.97>] and
 Acceptance Ratio Simulated Annealing [Kirkpatrick et al. (1983)
 <doi:10.1126/science.220.4598.671>, Černý (1985) <doi:10.1007/BF00940812>]
 on multiple cores, and ii) Acceptance Ratio Replica Exchange Monte Carlo
 Optimisation. In each case, the system pseudo-temperature is dynamically
 adjusted such that the observed acceptance ratio is kept near to the desired
 (fixed or changing) acceptance ratio.

Package: r-cran-roptions
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-ggplot2, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-roptions_1.0.3-1.ca2004.1_all.deb
Size: 102360
MD5sum: 18dcdaad25527589b8ae062a9b98bba9
SHA1: 55c873b9c578cf4a6591e55ef3f7d1811b39e7e5
SHA256: 3f013a3a109b67b11ea03f258da8f0206ba0ab9fdc69187d40e56a89fb6647e4
SHA512: 80a8cf9126ef4f4d4e8c880f1b3fbefec705cd967ded5210c7438b6b5ac7e6f62d56feed6f8a004312cc0b287db75f7acdc36745ca1805f94a8d3800e1ea64bf
Homepage: https://cran.r-project.org/package=roptions
Description: CRAN Package 'roptions' (Option Strategies and Valuation)
 Collection of tools to develop options strategies, value option contracts
 using the Black-Scholes-Merten option pricing model and calculate the option
 Greeks. Hull, John C. "Options, Futures, and Other Derivatives" (1997,
 ISBN:0-13-601589-1). Fischer Black, Myron Scholes (1973) "The Pricing of
 Options and Corporate Liabilities" <doi:10.1086/260062>.

Package: r-cran-roptregts
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1218
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-roptregts_1.2.0-1.ca2004.1_all.deb
Size: 813084
MD5sum: 6b1d6930926ad678f84c5808e7fe0ad5
SHA1: 4f13e7f6cbf0d3768b67f1e3c13060acebed8497
SHA256: 5b802b4e5a89fe9bfc042f53554e7b5b2e2e47ae13f6e6221aa933327dd917cd
SHA512: 4efcc534ac16cc2844cf7461278edb40ec11d00f6b6c02cd77b007ce46a2df014edd85c8265ef35500b4cf541f8cf03ce1ce8bf659da172999df74866c974202
Homepage: https://cran.r-project.org/package=ROptRegTS
Description: CRAN Package 'ROptRegTS' (Optimally Robust Estimation for Regression-Type Models)
 Optimally robust estimation for regression-type models using S4 classes and
 methods.

Package: r-cran-rorcid
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-httr, r-cran-fauxpas, r-cran-jsonlite, r-cran-xml2, r-cran-tibble, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rcrossref, r-cran-handlr, r-cran-httpuv, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rorcid_0.7.0-1.ca2004.1_all.deb
Size: 1315748
MD5sum: f07e23628098b649ebf4942cbd1e0b46
SHA1: f2a426482d75c043bbce8e509cf5da5dac628bdc
SHA256: 37a19bad3a8f900ebae42f577e344a10e5d335f69b8c6519d1bbf67069c9a6c5
SHA512: ec482e3ad97c6f6c98a9c37d5f657a74d3e58c5db4389624d68c90bcd817d21c8fc6ebf0b659b58c30cfed625042a2552f83bedf78e591cd3432b51c1f87edea
Homepage: https://cran.r-project.org/package=rorcid
Description: CRAN Package 'rorcid' (Interface to the 'Orcid.org' API)
 Client for the 'Orcid.org' API (<https://orcid.org/>).  Functions included
 for searching for people, searching by 'DOI', and searching by 'Orcid' 'ID'.

Package: r-cran-rorqual.morpho
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rorqual.morpho_0.1.1-1.ca2004.1_all.deb
Size: 32264
MD5sum: 50319934dd825a3cf7fd99aba468e984
SHA1: 4bf4eb1ef94ea5c71a26ed0a33f6774cbe1d092a
SHA256: c4a48c9becd9db40aad4337498c4f28ced5b58b318f8551410b6df6f1beaf04c
SHA512: 30964b9064d7754241b5eec1c68744df7bbd1ea4290197d38ba7b388e8cfda7275a4fc7bb3c017b114ab4f3895d74818f6648ca878a2a2d242750d0550e69ad2
Homepage: https://cran.r-project.org/package=rorqual.morpho
Description: CRAN Package 'rorqual.morpho' (Morphological Allometry of Rorquals)
 Predicts morphological parameters of rorquals (e.g. body mass, flipper
 length, maximum engulfment capacity) from body length using allometric
 equations from Kahane-Rapport and Goldbogen (2018) <doi:10.1002/jmor.20846>.

Package: r-cran-rorutadis
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rglpk, r-cran-ggplot2, r-cran-gridextra, r-cran-hitandrun
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rorutadis_0.4.2-1.ca2004.1_all.deb
Size: 202888
MD5sum: a70d6b6aef91419bdfbca6d5b16e0621
SHA1: c8dcfe4c33a9ffbd79b831f54d0de234dafca04d
SHA256: c74055ecc1b57df19b0fd41cb7d3de5ee70e8b53c7a909d04b44be45722ed8de
SHA512: 7cba3f21b929cd7d0f9eb7b4caa1c6378c93497ba8c2928cd1d8348181d89138c802b6ce3633bde602f70cf2baf1c33758422a3fd17e3e3a41203edf0659e279
Homepage: https://cran.r-project.org/package=rorutadis
Description: CRAN Package 'rorutadis' (Robust Ordinal Regression UTADIS)
 Implementation of Robust Ordinal Regression for multiple criteria
 value-based sorting with preference information provided in form of possibly
 imprecise assignment examples, assignment-based pairwise comparisons, and
 desired class cardinalities [Kadzinski et al. 2015,
 <doi:10.1016/j.ejor.2014.09.050>].

Package: r-cran-rose
Architecture: all
Version: 0.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-nnet, r-cran-rpart, r-cran-tree
Filename: pool/dists/focal/main/r-cran-rose_0.0-4-1.ca2004.1_all.deb
Size: 112040
MD5sum: b8707b23ca0cc73d4c6341f2158d1c1f
SHA1: 3658e9cea6f54af764db11d06b2dd6e2b059a19f
SHA256: e878ae6b3bd33366d532834d3cc1581337856a4f95cacc6842a2c552ebf33797
SHA512: ecd8e8e5c6ebf73fd2f1987e3cf27704b3d42bc128bdf9824945c29d1b68a73b4849f28185cce24b661602e80ad6c663cf2c7baf893a4cc2e77ace51de19823f
Homepage: https://cran.r-project.org/package=ROSE
Description: CRAN Package 'ROSE' (Random Over-Sampling Examples)
 Functions to deal with binary classification problems in the presence of
 imbalanced classes. Synthetic balanced samples are generated according to
 ROSE (Menardi and Torelli, 2013).  Functions that implement more traditional
 remedies to the class imbalance are also provided, as well as different
 metrics to evaluate a learner accuracy.  These are estimated by holdout,
 bootstrap or cross-validation methods.

Package: r-cran-rosenbrock
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rosenbrock_0.1.0-1.ca2004.1_all.deb
Size: 22120
MD5sum: 99f7f91627d2cd65b7e081f585396b62
SHA1: 50c611fbd0307c0dcba4c19e0d298328d985ce61
SHA256: fe22e3e469904bbddf51f37d9e55ea1727369652b4820fab7ce71e21327bfbcd
SHA512: e99f0ef607a7b0ffcda7d01a26d7dcd9056d3a4f282a4ff605f5cd457c41716bbfee6e5510e99d1cf413886bb2625db965d45a0bd21ab1fb737b5e48a1a63e6e
Homepage: https://cran.r-project.org/package=Rosenbrock
Description: CRAN Package 'Rosenbrock' (Extended Rosenbrock-Type Densities for Markov Chain Monte Carlo(MCMC) Sampler Benchmarking)
 New Markov chain Monte Carlo (MCMC) samplers new to be thoroughly tested and
 their performance accurately assessed. This requires densities that offer
 challenging properties to the novel sampling algorithms.  One such popular
 problem is the Rosenbrock function. However, while its shape lends itself
 well to a benchmark problem, no codified multivariate expansion of the
 density exists. We have developed an extension to this class of
 distributions and supplied densities and direct sampler functions to assess
 the performance of novel MCMC algorithms. The functions are introduced in
 "An n-dimensional Rosenbrock Distribution for MCMC Testing" by Pagani,
 Wiegand and Nadarajah (2019) <arXiv:1903.09556>.

Package: r-cran-roserf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-glmnet, r-cran-keras, r-cran-mgcv, r-cran-mlr, r-cran-paramhelpers, r-cran-ranger, r-cran-grf, r-cran-rpart, r-cran-tuneranger, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roserf_0.1.0-1.ca2004.1_all.deb
Size: 99764
MD5sum: 4562f086b4fba9761297c4170db2cebf
SHA1: 3992120cd5e5c2304a3a3ee2072c5c082eb95700
SHA256: ed3a47f64d9fc069751cb8b57c4a64ddb368a3e0cda5edd6e8831b0471fe6a7c
SHA512: 58504d1de23653141f13bc2e213a40372fc56889d1fe66c04268ea82f6b646592253c368a300c1e003958c140b144e2f68cd538940d4905e6d26a05261a649e0
Homepage: https://cran.r-project.org/package=roseRF
Description: CRAN Package 'roseRF' (ROSE Random Forests for Robust Semiparametric EfficientEstimation)
 ROSE (RObust Semiparametric Efficient) random forests for robust
 semiparametric efficient estimation in partially parametric models
 (containing generalised partially linear models).  Details can be found in
 the paper by Young and Shah (2024) <doi:10.48550/arXiv.2410.03471>.

Package: r-cran-rosetta
Architecture: all
Version: 0.3.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3714
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-lavaan, r-cran-lme4, r-cran-multcompview, r-cran-pander, r-cran-plyr, r-cran-psych, r-cran-pwr, r-cran-rmdpartials, r-cran-ufs, r-cran-lmertest, r-cran-sjstats, r-cran-knitr, r-cran-kableextra
Suggests: r-cran-downlit, r-cran-effectsize, r-cran-ggally, r-cran-gparotation, r-cran-jmvcore, r-cran-mbess, r-cran-pkgdown, r-cran-rio, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rosetta_0.3.12-1.ca2004.1_all.deb
Size: 658500
MD5sum: 650414e21b9b5adf54cca7c4ad6712d3
SHA1: bfd787225d03924f5b12558e97647a3e0309a29c
SHA256: d8574652a6b048cab30dbaff2f24ef30b4f87932cc7bb560a3562b1b2e4dd5e9
SHA512: c9d502def577d705c0e0897b16c3dae7c5ee1d14b93620223471eda90cac0b1a903605da342394c48da905ff4505acdbd57498c78ece66a35be16cc3b00cf161
Homepage: https://cran.r-project.org/package=rosetta
Description: CRAN Package 'rosetta' (Parallel Use of Statistical Packages in Teaching)
 When teaching statistics, it can often be desirable to uncouple the content
 from specific software packages. To ease such efforts, the Rosetta Stats
 website (<https://rosettastats.com>) allows comparing analyses in different
 packages. This package is the companion to the Rosetta Stats website, aiming
 to provide functions that produce output that is similar to output from
 other statistical packages, thereby facilitating 'software-agnostic'
 teaching of statistics.

Package: r-cran-rosetteapi
Architecture: all
Version: 1.14.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rosetteapi_1.14.4-1.ca2004.1_all.deb
Size: 52396
MD5sum: 6c133e6a1ff2af67f6b6d09b4b89e455
SHA1: 30438348313dac8c71141e899bd519bbed614cd3
SHA256: 53707b48c8d04864eccd37cdde6362ca428fe9597e852cd24039290c91e25cd3
SHA512: 227ac0a58f6d179d14fac5bfb0a8aff32c8a421957ad714d881029652aee9753368847051c65cbd775aaa96297939afd8d34ea82806398d63ca32567d4dac05a
Homepage: https://cran.r-project.org/package=rosetteApi
Description: CRAN Package 'rosetteApi' ('Rosette' API)
 'Rosette' is an API for multilingual text analysis and information
 extraction. More information can be found at
 <https://developer.rosette.com>.

Package: r-cran-rosm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-jpeg, r-cran-png, r-cran-wk, r-cran-glue, r-cran-progress, r-cran-rlang
Suggests: r-cran-sp, r-cran-plyr, r-cran-raster, r-cran-testthat, r-cran-withr, r-cran-sf, r-cran-terra, r-cran-abind, r-cran-jsonlite, r-cran-tiff, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rosm_0.3.0-1.ca2004.1_all.deb
Size: 458636
MD5sum: a86bc845cde0340567e7057c2fe8e8a1
SHA1: 50f2a4642b2ab2d1724fa4358be35d5a67e64945
SHA256: 257dec7fab9ed92deba34393bf77ef12fd3207b86fd9b4592f32467fd18ace6d
SHA512: 8be634e471eddc1c37d2c98352acdb113abfb14289cc13fe17da7d9cc550eb7fe6754da711903823875753bff1724e131f73f6806f8823396c23c2057f0db5df
Homepage: https://cran.r-project.org/package=rosm
Description: CRAN Package 'rosm' (Plot Raster Map Tiles from Open Street Map and Other Sources)
 Download and plot Open Street Map <https://www.openstreetmap.org/>, Bing
 Maps <https://www.bing.com/maps> and other tiled map sources. Use to create
 basemaps quickly and add hillshade to vector-based maps.

Package: r-cran-rosmium
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1027
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-geojsonsf, r-cran-processx, r-cran-sf
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rosmium_0.1.0-1.ca2004.1_all.deb
Size: 914860
MD5sum: d1e07ab6c9b650e2a916539056cfbb7e
SHA1: 3e14600c4d0e0695e6d7e3f8fc077e7d68fc3efb
SHA256: 7a6d7515606de6626687025037c6d3d0d0003e4449152e047b2acc5f77e3c291
SHA512: b28a45b376c27eb8b39c45deb1d3b3cf937e932db245831c7cd9790f47ebb150c76b46fd09a39fe68bdc52cf9508c4de316fbf6e5379d626e1c31da6b0d2eaad
Homepage: https://cran.r-project.org/package=rosmium
Description: CRAN Package 'rosmium' (Bindings for 'Osmium Tool')
 Allows one to use 'Osmium Tool' (<https://osmcode.org/osmium-tool/>) from R.
 'Osmium' is a multipurpose command line tool that enables one to manipulate
 and analyze OpenStreetMap files through several different commands.
 Currently, this package does not aim to offer functions that cover the
 entire 'Osmium' API, instead making available functions that wrap only a
 very limited set of its features.

Package: r-cran-rospca
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mrfdepth, r-cran-robustbase, r-cran-pcapp, r-cran-rrcov, r-cran-elasticnet, r-cran-mvtnorm, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-rospca_1.1.1-1.ca2004.1_all.deb
Size: 367008
MD5sum: 162146f3bba038b336839a0ab0f8776b
SHA1: fa0d4ca96518cf3de96c265f417718c774097188
SHA256: cb6d01bcfa27a2a62a224c138e1310331da6f06eaa4fd29d0dd20ed739622c33
SHA512: bfd3acd619b8ba1c5eb2ddb5b50c21498b45719e523871234573fb027aba151c7df7481de38ac7111158dada8b1219fd48f0fcb97a2eb90796d861063523d3f4
Homepage: https://cran.r-project.org/package=rospca
Description: CRAN Package 'rospca' (Robust Sparse PCA using the ROSPCA Algorithm)
 Implementation of robust sparse PCA using the ROSPCA algorithm of Hubert et
 al. (2016) <DOI:10.1080/00401706.2015.1093962>.

Package: r-cran-rosv
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-furrr, r-cran-httr2, r-cran-jsonlite, r-cran-memoise, r-cran-purrr, r-cran-r6
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rosv_0.5.1-1.ca2004.1_all.deb
Size: 251256
MD5sum: 4c3f636f1252b461239092a45507955b
SHA1: b800b2e5247d1db2b742f2fb74057192496492aa
SHA256: 623bcb13640c7e2f4a37cf08193fd4ec2004f40d075a1b7d9461ba91e462d4d9
SHA512: e66697ffe19f77f0d6cb43614baee3c4aeb8f6698f17f3ccd65f08f7fcfa9650448df6e14db649f3564da4667bbfc50bf0bdcb37d917627f4c3520ba11846d95
Homepage: https://cran.r-project.org/package=rosv
Description: CRAN Package 'rosv' (Client to Access and Operate on the 'Open Source Vulnerability'API)
 Connect, query, and operate on information available from the 'Open Source
 Vulnerability' database <https://osv.dev/>. Although 'CRAN' has
 vulnerabilities listed, these are few compared to projects such as 'PyPI'.
 With tighter integration between 'R' and 'Python', having an 'R' specific
 package to access details about vulnerabilities from various sources is a
 worthwhile enterprise.

Package: r-cran-rotationforest
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-rotationforest_0.1.3-1.ca2004.1_all.deb
Size: 23684
MD5sum: 3a6aaa510035098eb501f1d875f15e82
SHA1: 0b706d77c09b2c6575a2e008f4d9f7f55c39cff0
SHA256: c0cbcc5f63d0b9b7cbd3dfb0465610f3d04ffaa4638ca75d8b89f2a8fe3fa305
SHA512: d44afcc6e17dec767441296748dba665efdbc61319f94d155c74282a8c645e1e6dcb169965aafb98a89d5afc3b18bd896a138912fade79c04645fbf7233a2466
Homepage: https://cran.r-project.org/package=rotationForest
Description: CRAN Package 'rotationForest' (Fit and Deploy Rotation Forest Models)
 Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I.,
 2006. Rotation forest: A new classifier ensemble method. IEEE Trans.
 Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for
 binary classification.  Rotation forest is an ensemble method where each
 base classifier (tree) is fit on the principal components of the variables
 of random partitions of the feature set.

Package: r-cran-rotatogram
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rotatogram_0.1.3-1.ca2004.1_all.deb
Size: 21224
MD5sum: e19338013c64a5dd24a94429b6564d54
SHA1: ce46f35e6978f841be903a314bd7a57c770e260f
SHA256: ceedaf6d5c280332e325ce7705a76e321d9733c366ec2e04aeea9ed494c0302c
SHA512: 654cf50c7571ee0db5a2573e8cbfa53f3e463d84e1de4a849eb6a08c623c2ec0ec4ed361f765cf055a234a58cccbd0d6b61be3b551a80f99719585dbabbd569f
Homepage: https://cran.r-project.org/package=rotatogram
Description: CRAN Package 'rotatogram' (A Non-Axis-Dominant Association Plotting Tool)
 A rotatogram is a method of displaying an association which is axis
 non-dominant. This is achieved in two ways: First, the method of estimating
 the slope and intercept uses the least-products method rather than more
 typical least squared error for the "dependent" variable. The least products
 method has no "dependent" variable and is scale independent. Second, the
 plot is rotated such that the resulting regression line is vertical,
 reducing the suggestion that the vertical axis is the dominant one. The
 slope can be read relative to either axis equally.

Package: r-cran-rothermel
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ga, r-cran-ftsa
Filename: pool/dists/focal/main/r-cran-rothermel_1.2-1.ca2004.1_all.deb
Size: 67316
MD5sum: 2c040c71e297c35d726435acb7e15af6
SHA1: 5b931ddec90ec0f9ac750c8f37ba02e8c0474763
SHA256: 61e2ef530b8907cffa15522252716c75a7e37e0f50e369037ee0c886e6e7762b
SHA512: 5868e73f242f9302a9712b6facf5c57de9cc10a29c0e9ba7db0f0cf2bcef789441ea187a0ac22757cef9742e37fb012e81e4993fc2dc1c2733ae6bd133370e4b
Homepage: https://cran.r-project.org/package=Rothermel
Description: CRAN Package 'Rothermel' (Rothermel fire spread model for R)
 R build of Rothermel's (1972) model for surface fire rate of spread with
 some additional utilities (uncertainty propagation, standard fuel model
 selection, fuel model optimization by genetic algorithm) and sample
 datasets.

Package: r-cran-rotl
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-rentrez, r-cran-rlang, r-cran-rncl
Suggests: r-cran-knitr, r-cran-mcmcglmm, r-cran-phylobase, r-cran-readxl, r-cran-rmarkdown, r-cran-rnexml, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rotl_3.1.0-1.ca2004.1_all.deb
Size: 515728
MD5sum: 8cc53690adcb5f950927f908945c4993
SHA1: 411e606ceca4b995cc363464f266579b62301ff2
SHA256: be532254e3ec141530ca2dc5253239fc1602152409651166a747e5c8d81d23a3
SHA512: b2b4e6a76d4d66efd7e92c77452eee35b8e69fc4596bc8586faca2673d8e369cc6aeb93b39c2e709ba2c5ff26631dc58915dc26c3c22ed84ec39e072b7159530
Homepage: https://cran.r-project.org/package=rotl
Description: CRAN Package 'rotl' (Interface to the 'Open Tree of Life' API)
 An interface to the 'Open Tree of Life' API to retrieve phylogenetic trees,
 information about studies used to assemble the synthetic tree, and utilities
 to match taxonomic names to 'Open Tree identifiers'. The 'Open Tree of Life'
 aims at assembling a comprehensive phylogenetic tree for all named species.

Package: r-cran-rotor
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dint, r-cran-r6
Suggests: r-cran-covr, r-cran-crayon, r-cran-data.table, r-cran-digest, r-cran-rmarkdown, r-cran-testthat, r-cran-uuid, r-cran-ulid, r-cran-zip
Filename: pool/dists/focal/main/r-cran-rotor_0.3.7-1.ca2004.1_all.deb
Size: 353840
MD5sum: 904cf5be7c3b8523a23e7cf6162f0eba
SHA1: 47147101b31c0c79e50709deb7d858a1587b20f7
SHA256: 796aeec7a95cae0ded9e1474c9942136100e0de585847f3abf3c85c4155bc392
SHA512: 3226adc0a13c0e0be2a33037163d15bcffffaab6c16371a32103da0c266080aba43121205759a64f0e01ae05b720dffa02da9b1a014e874a9ca71e012133a088
Homepage: https://cran.r-project.org/package=rotor
Description: CRAN Package 'rotor' (Log Rotation and Conditional Backups)
 Conditionally rotate or back-up files based on their size or the date of the
 last backup; inspired by the 'Linux' utility 'logrotate'.

Package: r-cran-roughnet
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 858
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-igraph, r-cran-graphlayouts, r-cran-jsonlite, r-cran-htmlwidgets
Suggests: r-cran-pagedown
Filename: pool/dists/focal/main/r-cran-roughnet_1.0.1-1.ca2004.1_all.deb
Size: 751184
MD5sum: 6793e0f47c6cd42c0513eb2e83b365e6
SHA1: a83e9c74a4ebeff0486905c448c8b188b61c88c5
SHA256: 943918a4f8583bcc292852b50f954df362915d4eae64d4339de0fb5e6e7e19bd
SHA512: 3bdf800ecfc48e178e72f23cb4d92696c7f7cd50b9947709eda7e8e548799c976a49ea9bcd5bef7ab832745eeae765c60704aa59748b24c91376e1a359317393
Homepage: https://cran.r-project.org/package=roughnet
Description: CRAN Package 'roughnet' (Visualize Networks using 'roughjs')
 Visualize networks using the 'javascript' library 'roughjs'. This allows to
 draw sketchy, hand-drawn-like networks.

Package: r-cran-roughsetknowledgereduction
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-roughsetknowledgereduction_0.1-1.ca2004.1_all.deb
Size: 486704
MD5sum: 328bea76f750007498cb56690ec833c1
SHA1: 2369bea840291e445ccfb3c789d67c8d617bca18
SHA256: bbd88292802fe083e7fdec856117e7bdd08283eda10baeb27fbb96be840df0c5
SHA512: 2f9544b2eac78ea99151cafd3161ea779d06944209ea8a004613b0185d73d9c69bdb260bd95fdbbd22c609c7097fbe7e5c4e4623ff551e22f1a9eda624517977
Homepage: https://cran.r-project.org/package=RoughSetKnowledgeReduction
Description: CRAN Package 'RoughSetKnowledgeReduction' (Simplification of Decision Tables using Rough Sets)
 Rough Sets were introduced by Zdzislaw Pawlak on his book "Rough Sets:
 Theoretical Aspects of Reasoning About Data". Rough Sets provide a formal
 method to approximate crisp sets when the set-element belonging relationship
 is either known or undetermined. This enables the use of Rough Sets for
 reasoning about incomplete or contradictory knowledge. A decision table is a
 prescription of the decisions to make given some conditions. Such decision
 tables can be reduced without losing prescription ability. This package
 provides the classes and methods for knowledge reduction from decision
 tables as presented in the chapter 7 of the aforementioned book. This
 package provides functions for calculating the both the discernibility
 matrix and the essential parts of decision tables.

Package: r-cran-roughsf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3474
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-sf
Suggests: r-cran-pagedown
Filename: pool/dists/focal/main/r-cran-roughsf_1.0.0-1.ca2004.1_all.deb
Size: 3431452
MD5sum: 87c0401426e9bb5f00411f75a6481923
SHA1: 19298b46bdebab05bc35da37b0ea4a441ca17413
SHA256: ab2c22fd33bf8c8d40303d4f9784641fbbc45db44a024566fa118a54c1515953
SHA512: b745bd4efb1214ca3a57b938f5e4c80c1bd8dd054c264dd88f6e9241bfa323d06dcc51e0eb13ccfbaa7e74b8279063bda3546e23096b9ddf1923392a9633cb0f
Homepage: https://cran.r-project.org/package=roughsf
Description: CRAN Package 'roughsf' (Visualize Spatial Data using 'roughjs')
 Draw maps using the 'javascript' library 'roughjs'. This allows to draw
 sketchy, hand-drawn-like maps.

Package: r-cran-roundhouse
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-httr, r-cran-magick, r-cran-tinytest, r-cran-tuner
Filename: pool/dists/focal/main/r-cran-roundhouse_0.0.2-1.ca2004.1_all.deb
Size: 101904
MD5sum: 9e54cf64befb835c12310d7f52435702
SHA1: 5483a9624c21b09e5bc23fe55983394828d57686
SHA256: 6b6cc66566a0025fe0b102dcfc295ede2676762910eaf8f2d71528f6b9b4a015
SHA512: ac25d4472244d9172935d8212ec7a5ba9eeefdfdff0ebe8dfe9f6bc5b1f39c08c688e89bf877dfec7690e387fe8f9871f3f27793bf8dc1cc1ae79dc05d12c62f
Homepage: https://cran.r-project.org/package=roundhouse
Description: CRAN Package 'roundhouse' (Random Chuck Norris Facts)
 R functions for generating and/or displaying random Chuck Norris facts.
 Based on data from the 'Internet Chuck Norris database' ('ICNDb').

Package: r-cran-roundwork
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-conflicted, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roundwork_0.0.1-1.ca2004.1_all.deb
Size: 120356
MD5sum: 6ea001c3d6d97ab19145fd58be1c0b41
SHA1: 8ab1283c85e0ba15fa016ac5a9da18a8992a22f9
SHA256: f06adc649a31db9f0f5937990825afbacfdb69e56b47f77886dfc139a9742db7
SHA512: 4472dfc627ea065b143cf4343c5da9065b46dbff24899b154cdd5978b4bf339abf004cbb58faf8bde773bc23ce76726f77ba351d29aa1297f8484be81e21cb62
Homepage: https://cran.r-project.org/package=roundwork
Description: CRAN Package 'roundwork' (Rounding Infrastructure)
 Flexible rounding functions for use in error detection. They were outsourced
 from the 'scrutiny' package.

Package: r-cran-roundyh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roundyh_0.1.0-1.ca2004.1_all.deb
Size: 11012
MD5sum: e1fac4d868faac8035c299b2b8d44a0e
SHA1: 2dab1dc4813de2c31f8736d6377fec817ef9924f
SHA256: a7f4b5b22776bc06ffbcabcfd8dd51cee22c5b1577f196d8f3f17fb7e4edc578
SHA512: 7cd69be54bd5127dc3840baaa4f480aea7f4d2a26294a3702c002f5155a55dd7f1d51e94dea1fdfe12b7e8ef20846ebcbeeba8a3a4c8dcbc47de5485744cd638
Homepage: https://cran.r-project.org/package=roundyh
Description: CRAN Package 'roundyh' (Round Dataframe)
 A simple rounding function. The default round() function in R uses the IEC
 60559 standard and therefore it rounds 0.5 to 0 and rounds -1.5 to -2.  The
 roundx() function accounts for this and helps to round 0.5 up to 1.

Package: r-cran-routliers
Architecture: all
Version: 0.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-routliers_0.0.0.3-1.ca2004.1_all.deb
Size: 120044
MD5sum: f2971b82923de77be8bbc1131954c359
SHA1: 806c145a366048ab57ba0193d4932a83874ec756
SHA256: 4c22ffa9ad90a30d44431249a9480e077c282056ae5771174dedab64b8a4a556
SHA512: cb58478af038b0bc240ec365229efc7f6c040f6fc3739905b4e7987173742f7b0b760aea0a798e46140272f2b031b26f5905afe140c3ac58de542cde4b451910
Homepage: https://cran.r-project.org/package=Routliers
Description: CRAN Package 'Routliers' (Robust Outliers Detection)
 Detecting outliers using robust methods, i.e. the Median Absolute Deviation
 (MAD) for univariate outliers; Leys, Ley, Klein, Bernard, & Licata (2013)
 <doi:10.1016/j.jesp.2013.03.013> and the Mahalanobis-Minimum Covariance
 Determinant (MMCD) for multivariate outliers; Leys, C., Klein, O., Dominicy,
 Y. & Ley, C. (2018) <doi:10.1016/j.jesp.2017.09.011>.  There is also the
 more known but less robust Mahalanobis distance method, only for comparison
 purposes.

Package: r-cran-routr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-assertthat, r-cran-uuid, r-cran-reqres, r-cran-stringi, r-cran-digest
Suggests: r-cran-testthat, r-cran-covr, r-cran-fiery
Filename: pool/dists/focal/main/r-cran-routr_0.4.1-1.ca2004.1_all.deb
Size: 152672
MD5sum: c1d63d602781f30d4e5ef36e457b52da
SHA1: 7fdcba02c260a10651bfd0b419b4d101ccb8842c
SHA256: d5bab511f3c9eb5efe854138c747578c9de96e0e38b60f56831ea2c7f94c5a52
SHA512: b93d06810c46b808f39b3f25519eee811511811259ca98ff17489be1c1c13367145885fe2551640ef3d7fc5f18d719f27c247d32d86ecd62b756955c406eff94
Homepage: https://cran.r-project.org/package=routr
Description: CRAN Package 'routr' (A Simple Router for HTTP and WebSocket Requests)
 In order to make sure that web request ends up in the correct handler
 function a router is often used. 'routr' is a package implementing a simple
 but powerful routing functionality for R based servers. It is a fully
 functional 'fiery' plugin, but can also be used with other 'httpuv' based
 servers.

Package: r-cran-roxut
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roxygen2
Suggests: r-cran-tinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roxut_0.4.0-1.ca2004.1_all.deb
Size: 29320
MD5sum: 16b357d2821bf515ce237745f7fc035c
SHA1: ae33017fa0e432c427f902ad5a62680b04bf0a13
SHA256: 05af75d7c801ea44e3197218fdcc40a781f2cbb2eaf461f679831b0453ca36e8
SHA512: e8d72c6f0b511812aaaa63df62ed4c29634ff6d28c116b641f67e4a5d6aebb69b13c7047201eddd6111c55eafd41c070039d6d9ccd40d9aaf3eec95ddb2fed0a
Homepage: https://cran.r-project.org/package=roxut
Description: CRAN Package 'roxut' (Document Unit Tests Roxygen-Style)
 Much as 'roxygen2' allows one to document functions in the same file as the
 function itself, 'roxut' allows one to write the unit tests in the same file
 as the function.  Once processed, the unit tests are moved to the
 appropriate directory.  Currently supports 'testthat' and 'tinytest'
 frameworks. The 'roxygen2' package provides much of the infrastructure.

Package: r-cran-roxy.shinylive
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-jsonlite, r-cran-lzstring, r-cran-roxygen2, r-cran-stringr
Suggests: r-cran-pkgdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-roxy.shinylive_1.0.0-1.ca2004.1_all.deb
Size: 19992
MD5sum: 68fc248de8ccd3c967cfce9a4c4df315
SHA1: b1daf91cce7486d950fbca82ebfa3e218c890243
SHA256: 61ece4350b6f4960c3a339db856ce51161a86a7fdbbddbf736f39524e39a4f69
SHA512: 9a8c991eca9559df4aa68a93a5bc2c76d3d58571c597bc5449a9d06b18f4b46d8551e07a65de5e8308648d7bc9d39d2e3ee6f744e0c88890ada973fc36ccf73a
Homepage: https://cran.r-project.org/package=roxy.shinylive
Description: CRAN Package 'roxy.shinylive' (A 'roxygen2' Extension for 'Shinylive')
 An extension for 'roxygen2' to embed 'Shinylive' applications in the package
 documentation.

Package: r-cran-roxygen2md
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brio, r-cran-cli, r-cran-desc, r-cran-devtools, r-cran-rex, r-cran-rlang, r-cran-tibble, r-cran-usethis
Suggests: r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roxygen2md_1.0.1-1.ca2004.1_all.deb
Size: 61100
MD5sum: 50a89251b8c03421b87c3fa7a3190d85
SHA1: d8e1014e9e26a61696886e6bfe599b1cdcb37fa8
SHA256: 5bc834b367b585c2649681d7cef138c1493b9c712d99cf79e2bcfbe6a2020ae6
SHA512: 910030cb308a8e224cae4962f30332133da830de9f8d79cd86119fdfe69b748f2023b0cac2523abb96debe39a09927c8c52f309237ed4ca609a52a97d0054848
Homepage: https://cran.r-project.org/package=roxygen2md
Description: CRAN Package 'roxygen2md' ('Roxygen' to 'Markdown')
 Converts elements of 'roxygen' documentation to 'markdown'.

Package: r-cran-roxyglobals
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-brio, r-cran-codetools, r-cran-desc, r-cran-roxygen2
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-roxyglobals_1.0.0-1.ca2004.1_all.deb
Size: 32232
MD5sum: 52ce24c861264160bfe24fd443f54fad
SHA1: 743391f6ff4f6911391358abd4b191ae722472a8
SHA256: ad9203110ba4ee497bb60fd06d1dae024d16c47a663b8086194c9d124d4e08f2
SHA512: 67032d5b0dac51fce857362de0b8ee918790832675e2d7c31263945e14994cede885509a7817ff94fb2edb424fdf96be5e6c7961e3df76dd45104890a60d45a9
Homepage: https://cran.r-project.org/package=roxyglobals
Description: CRAN Package 'roxyglobals' ('Roxygen2' Global Variable Declarations)
 Generate utils::globalVariables() from 'roxygen2' @global and @autoglobal
 tags.

Package: r-cran-roxylint
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-roxylint_0.1.0-1.ca2004.1_all.deb
Size: 50664
MD5sum: 963ae6c36be76d4e70cbb6e76d9d4619
SHA1: bb8be46ad0bf2c21c9c5e5b67221a0ff767e4585
SHA256: b1b687bdb522f7304fb40dd851ff15afe0c50437abcd12318256a32297e1bd48
SHA512: bdee02bf749bc19f86e6f2f45b0b760d84d3ece062fffb340c8139dab49b5c0083e30769952d0f2a480d6b5704429ba172ccbf6ad84401b359b09528ac77bece
Homepage: https://cran.r-project.org/package=roxylint
Description: CRAN Package 'roxylint' (Lint 'roxygen2'-Generated Documentation)
 Provides formatting linting to 'roxygen2' tags. Linters report 'roxygen2'
 tags that do not conform to a standard style. These linters can be a helpful
 check for building more consistent documentation and to provide reminders
 about best practices or checks for typos. Default linting suites are
 provided for common style guides such as the one followed by the
 'tidyverse', though custom linters can be registered by other packages or be
 custom-tailored to a specific package.

Package: r-cran-roxytest
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-roxygen2
Suggests: r-cran-testthat, r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-roxytest_0.0.2-1.ca2004.1_all.deb
Size: 58612
MD5sum: 536671f2f97037d6869eae37aeadfd2c
SHA1: 343194c43c77e117d9a1b8ef4c45f50e485254b3
SHA256: 085c94a319f924188e41ebf7a16104cc6c5b8d605e1c80370c07c84245959015
SHA512: a5b26adf994c8759513d7081bd133babebaec9e89e2c97e55ad80f8b3bdb5abb7f85520193541e9630ffeb4348ac0eb220a875a3b8967733f158d90dc521ff5d
Homepage: https://cran.r-project.org/package=roxytest
Description: CRAN Package 'roxytest' (Various Tests with 'roxygen2')
 Various tests as 'roxygen2' roclets: e.g. 'testthat' and 'tinytest' tests.
 Also other static analysis tools as checking parameter documentation
 consistency and others.

Package: r-cran-roxytypes
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-roxygen2
Suggests: r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-roxytypes_0.1.2-1.ca2004.1_all.deb
Size: 114756
MD5sum: acf7ea9d9fd332b7a527d8434d5644e5
SHA1: fdc4e6946f1e0564d63df7db4057dd0bea54d5ba
SHA256: 2ffb79bb4c6d351df4ef09d58eb6b653b69f13f5ad9edea0900f69f3a73f4e05
SHA512: 792c77d64e854278a0419aea58710dd96fad07dc54be6acab0bf975c0c9f747635c7c715ee959ce19fcb8ccd22c4cc972ac45277e70a9da311451335e87d27a9
Homepage: https://cran.r-project.org/package=roxytypes
Description: CRAN Package 'roxytypes' (Typed Parameter Tags for Integration with 'roxygen2')
 Provides typed parameter documentation tags for integration with 'roxygen2'.
 Typed parameter tags provide a consistent interface for annotating expected
 types for parameters and returned values. Tools for converting from existing
 styles are also provided to easily adapt projects which implement typed
 documentation by convention rather than tag. Use the default format or
 provide your own.

Package: r-cran-royston
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nortest, r-cran-moments
Filename: pool/dists/focal/main/r-cran-royston_1.2-1.ca2004.1_all.deb
Size: 17520
MD5sum: 20db0a407e2c8825334a0a90e82cafaa
SHA1: da1cbbafaf38a8e343a6fcbabebbec38a5f302c4
SHA256: f06d52aaae64045ee46e08ee93197d5af3d44269242b69516bf15c45a338de5f
SHA512: c71c16bdd74443ad44c83a5ce0ad20e647491bf8629b97b1cc7a13a4106cb679d29152b57b0cc55150e593723cb9b86e265ccb7b54cf11d896b7ea43a8467497
Homepage: https://cran.r-project.org/package=royston
Description: CRAN Package 'royston' (Royston's H Test: Multivariate Normality Test)
 Performs a multivariate normality test based on Royston's H test

Package: r-cran-rpaci
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-ggplot2, r-cran-tidyr, r-cran-ggpubr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rpaci_0.2.2-1.ca2004.1_all.deb
Size: 899756
MD5sum: c80a17797243830a451a3af6442bfdc9
SHA1: c047a336a07d2133bd91ac6853b7240295d3cb97
SHA256: 6415bbceaff63f2a1e16b76c0504f6852d3ce378aa1ca57fa66df9713f5d7b17
SHA512: 9bb7723080866fd5c9abfcaaa7172f44cefb81b93386b5c46a2018767f7b786be9d7b3115fbb2008be2ae7a2d00b99c70144bb9fa78920feca7284abb58aefbb
Homepage: https://cran.r-project.org/package=rPACI
Description: CRAN Package 'rPACI' (Placido Analysis of Corneal Irregularity)
 Analysis of corneal data obtained from a Placido disk corneal topographer
 with calculation of irregularity indices. This package performs analyses of
 corneal data obtained from a Placido disk corneal topographer, with the
 calculation of the Placido irregularity indices and the posterior analysis.
 The package is intended to be easy to use by a practitioner, providing a
 simple interface and yielding easily interpretable results. A corneal
 topographer is an ophthalmic clinical device that obtains measurements in
 the cornea (the anterior part of the eye). A Placido disk corneal
 topographer makes use of the Placido disk [Rowsey et al.
 (1981)]<doi:10.1001/archopht.1981.03930011093022>, which produce a circular
 pattern of measurement nodes. The raw information measured by such a
 topographer is used by practitioners to analyze curvatures, to study optical
 aberrations, or to diagnose specific conditions of the eye (e.g.
 keratoconus, an important corneal disease). The rPACI package allows the
 calculation of the corneal irregularity indices described in [Castro-Luna et
 al. (2020)]<doi:10.1016%2Fj.clae.2019.12.006>, [Ramos-Lopez et al.
 (2013)]<doi:10.1097%2FOPX.0b013e3182843f2a>, and [Ramos-Lopez et al.
 (2011)]<doi:10.1097/opx.0b013e3182279ff8>. It provides a simple interface to
 read corneal topography data files as exported by a typical Placido disk
 topographer, to compute the irregularity indices mentioned before, and to
 display summary plots that are easy to interpret for a clinician.

Package: r-cran-rpackedbar
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-data.table, r-cran-scales, r-cran-shiny
Suggests: r-cran-covr, r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rpackedbar_0.2.2-1.ca2004.1_all.deb
Size: 1002556
MD5sum: 15e20a72944fb781135915e6782baee6
SHA1: a47564eb5ef4d321eb7ca883b507065a8639542f
SHA256: f64e72460268e0bda6efa5b141629de54694979f5b47e0c74733d24b85fa1ba8
SHA512: c598ae6013c5074770488b544d7322bec89be4049a105f9d04d1226835812f261c749f92bb946bf488a8caa9751889734d98a8603fbaf52066912bc13e7f2948
Homepage: https://cran.r-project.org/package=rPackedBar
Description: CRAN Package 'rPackedBar' (Packed Bar Charts with 'plotly')
 Packed bar charts are a variation of treemaps for visualizing skewed data.
 The concept was introduced by Xan Gregg at 'JMP'.

Package: r-cran-rpadrino
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ipmr, r-cran-curl, r-cran-ggplot2, r-cran-magrittr, r-cran-mvtnorm, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-truncdist
Suggests: r-cran-covr, r-cran-knitr, r-cran-maps, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpadrino_0.0.5-1.ca2004.1_all.deb
Size: 319164
MD5sum: 1a090456381759f41e302245002d745e
SHA1: 12131e8d8c1d95aab96fbf519236596afe5e044c
SHA256: e17dd9546f5a7bf75476a21e4e25b84c739f8af9e87afadd98b3e85d53cb7091
SHA512: 5256a6070ec1b6f8962fcaeaf9696ab8c912ba2d1f4e09ca023585cb38b9b5c9cac14eb58098d4ec02e87133969b4130aa4561cec8bebe64dba6923eb9c93f2b
Homepage: https://cran.r-project.org/package=Rpadrino
Description: CRAN Package 'Rpadrino' (Interact with the 'PADRINO' IPM Database)
 'PADRINO' houses textual representations of Integral Projection Models which
 can be converted from their table format into full kernels to reproduce or
 extend an already published analysis. 'Rpadrino' is an R interface to this
 database. For more information on Integral Projection Models, see Easterling
 et al. (2000) <doi:10.1890/0012-9658(2000)081[0694:SSSAAN]2.0.CO;2>, Merow
 et al. (2013) <doi:10.1111/2041-210X.12146>, Rees et al. (2014)
 <doi:10.1111/1365-2656.12178>, and Metcalf et al. (2015)
 <doi:10.1111/2041-210X.12405>. See Levin et al. (2021) for more information
 on 'ipmr', the engine that powers model reconstruction
 <doi:10.1111/2041-210X.13683>.

Package: r-cran-rpaex
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 968
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-agricolae
Filename: pool/dists/focal/main/r-cran-rpaex_1.0.5-1.ca2004.1_all.deb
Size: 945444
MD5sum: cbd904673aa35424e3ab61ca32eb1d40
SHA1: 7e56d88fbf2d44e4d1dc1b43f4d68b9b4989cf9d
SHA256: 2d51c781bb334997eaef801e675b7319372990d20aff7d2dbd9886f01f114f92
SHA512: fea26584b4091174e4f70bd412308bc341275984ce4c73121c66fa591e7e87beaee6c2fa6e6b6ab1e455194941694397e05fae667af64ab57a75b42e14e04c9f
Homepage: https://cran.r-project.org/package=rPAex
Description: CRAN Package 'rPAex' (Automatic Detection of Experimental Unit in PrecisionAgriculture)
 A part of precision agriculture is linked to the spectral image obtained
 from the cameras. With the image information of the agricultural experiment,
 the included functions facilitate the collection of spectral data associated
 with the experimental units. Some designs generated in R are linked to the
 images, which allows the use of the information of each pixel of the image
 in the experimental unit and the treatment. Tables and images are generated
 for the analysis of the precision agriculture experiment during the entire
 vegetative period of the crop.

Package: r-cran-rpaleoclim
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-fs, r-cran-rlang, r-cran-terra
Suggests: r-cran-knitr, r-cran-covr, r-cran-mockery, r-cran-raster, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rpaleoclim_1.0.1-1.ca2004.1_all.deb
Size: 473208
MD5sum: 4180f53ea6592c8ef8e29dc5908e658d
SHA1: b17dba4a93fd500b3b108b734c0d0becca94af6c
SHA256: e3377e5a39e37a365e26ab3a963ef3bed3aedc19b35d9890da87d55e6c589645
SHA512: 464952b68af5e89588170ba3e84ffed0780b2975ae5615d00d7db2076d4dfa55ca9ac4522d30d1287fcde4f4a21110330e55c6d052bfbae900e869c46e34c64f
Homepage: https://cran.r-project.org/package=rpaleoclim
Description: CRAN Package 'rpaleoclim' (Download Paleoclimate Data from 'PaleoClim')
 'PaleoClim' <http://www.paleoclim.org> (Brown et al. 2019,
 <doi:10.1038/sdata.2018.254>) is a set of free, high resolution paleoclimate
 surfaces covering the whole globe. It includes data on surface temperature,
 precipitation and the standard bioclimatic variables commonly used in
 ecological modelling, derived from the 'HadCM3' general circulation model
 and downscaled to a spatial resolution of up to 2.5 minutes. Simulations are
 available for key time periods from the Late Holocene to mid-Pliocene. Data
 on current and Last Glacial Maximum climate is derived from 'CHELSA' (Karger
 et al. 2017, <doi:10.1038/sdata.2017.122>) and reprocessed by 'PaleoClim' to
 match their format; it is available at up to 30 seconds resolution. This
 package provides a simple interface for downloading 'PaleoClim' data in R,
 with support for caching and filtering retrieved data by period, resolution,
 and geographic extent.

Package: r-cran-rpanel
Architecture: all
Version: 1.1-5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1675
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tkrplot, r-cran-rgl, r-cran-sp, r-cran-geor, r-cran-interp, r-cran-mass, r-cran-denstrip, r-cran-lattice, r-cran-sm, r-cran-maps, r-cran-mgcv, r-cran-colorspace, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rpanel_1.1-5.2-1.ca2004.1_all.deb
Size: 1597560
MD5sum: c8891acf4c364311d4efa73bfa2caecb
SHA1: 51b7ee8a2a9a41a633fac3cbe9f2a4d3014d1c5d
SHA256: f8d0ad7ac41ef4418d7d0c0dc6579fc0e0a58405643459acafd4877d724c7338
SHA512: 540c898a8a035a335f11e7faf89ea25deb77e5ea68f9db4f3496af01e298ace4fc3a5a41c6f963748de9c910c5d56013449f73f51813733d969c29fc54406ded
Homepage: https://cran.r-project.org/package=rpanel
Description: CRAN Package 'rpanel' (Simple Interactive Controls for R using the 'tcltk' Package)
 A set of functions to build simple GUI controls for R functions.  These are
 built on the 'tcltk' package.  Uses could include changing a parameter on a
 graph by animating it with a slider or a "doublebutton", up to more
 sophisticated control panels.  Some functions for specific graphical tasks,
 referred to as 'cartoons', are provided.

Package: r-cran-rpanglaodb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-xml2, r-cran-seurat, r-cran-pbapply, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rpanglaodb_0.2.1-1.ca2004.1_all.deb
Size: 39460
MD5sum: 0ee7610c78342ada78205b25423e1d9a
SHA1: b8e5096be853893d92befe857a51bf907248ddca
SHA256: 723b0ae180846a9f32fc17ae90e70f2b090f6af5c8991f504ecb640523e0fe30
SHA512: ed3b9ae5098591a4ce44741ca0062ee1f9faaee7eabee3261a2174b757b8a24bbe248ec08074dae77bb076aed1eb00436436785484b999af8ab02f10826e6916
Homepage: https://cran.r-project.org/package=rPanglaoDB
Description: CRAN Package 'rPanglaoDB' (Download and Merge Single-Cell RNA-Seq Data from the PanglaoDBDatabase)
 Download and merge labeled single-cell RNA-seq data from the PanglaoDB
 <https://panglaodb.se/> into a Seurat object.

Package: r-cran-rpart.plot
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1668
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpart
Suggests: r-cran-earth
Filename: pool/dists/focal/main/r-cran-rpart.plot_3.1.2-1.ca2004.1_all.deb
Size: 981796
MD5sum: 72c879e8db39d908f3871de0b7dcd81c
SHA1: da9b886c3f7e56eeae29f914df06db3765d237fe
SHA256: ed5851a5111e9e01eb21aa2ecc680eb19170d6869e9d702f994205aab0c9ab11
SHA512: c2c23a4d7237fee41b7b0fc1224abcff05c00c123a3d64741c58ae52d6f7e443f298289774bdca9d70f5c175165d39cf8a41d560abce0b5ce4f54e330f5529e2
Homepage: https://cran.r-project.org/package=rpart.plot
Description: CRAN Package 'rpart.plot' (Plot 'rpart' Models: An Enhanced Version of 'plot.rpart')
 Plot 'rpart' models. Extends plot.rpart() and text.rpart() in the 'rpart'
 package.

Package: r-cran-rpart.utils
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Suggests: r-cran-rodbc
Filename: pool/dists/focal/main/r-cran-rpart.utils_0.5-1.ca2004.1_all.deb
Size: 26524
MD5sum: 0b1b4e6948f5ba45b735358e98c12927
SHA1: d5a6b3f6e57086e9275c07c8064bc083079e5aa5
SHA256: a0098f20df16a1ac61201e4131ba0b9294724d6809ef8b9732817afb5fc94636
SHA512: e1947731af62ec5c7ef2f7c0015353d42b0ccb81788ba59fa1ab873349f9f978ba433e694a4adc1e17c32b042122002d204304d4a84593d4c914000c39dbedc8
Homepage: https://cran.r-project.org/package=rpart.utils
Description: CRAN Package 'rpart.utils' (Tools for parsing and manipulating rpart objects, includinggenerating machine readable rules)
 This package contains additional tools for working with rpart objects.  Most
 importantly, it includes methods for converting rpart rules into a series of
 structured tables sufficient for executing the decision tree completely in
 SQL.

Package: r-cran-rpartscore
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rpart, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rpartscore_1.0-2-1.ca2004.1_all.deb
Size: 49888
MD5sum: e4ef2643c7a01aef0d05dc805fd5775d
SHA1: 4a037f0428b96d4f6a03e5975c2f9837f9712752
SHA256: 46e3d7a902b50941e3251484ea45135b4d84939dd4e8456b398d1cac8aafe77c
SHA512: 14404c6c140ee9c58ed579d9dfee05cbaa073a20a5896cef92e2f1a583e38c2dd089864975f092f014b5d2a511d0a75eb6e80b97141867137691b28003785a26
Homepage: https://cran.r-project.org/package=rpartScore
Description: CRAN Package 'rpartScore' (Classification Trees for Ordinal Responses)
 Recursive partitioning methods to build classification trees for ordinal
 responses within the CART framework. Trees are grown using the Generalized
 Gini impurity function, where the misclassification costs are given by the
 absolute or squared differences in scores assigned to the categories of the
 response. Pruning is based on the total misclassification rate or on the
 total misclassification cost.

Package: r-cran-rpatrec
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-np
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rpatrec_1.0.1-1.ca2004.1_all.deb
Size: 303688
MD5sum: 1497d5260efb167f298f26469d8228ec
SHA1: 659f3274f0f587ff76bb5c10ddcfb866f47e3d92
SHA256: ae08264fcbefe3b0ab3afed414a6d4abe6083f19793d661d57ea927406f3e2ae
SHA512: db2c51ed436d17bd8abf9de595aa815b6efa5ded6e31a3c76609e41a5a17e8b4d33368bedc57bfc738e540b12837a51b575d03d45be695de669160de9e87cd01
Homepage: https://cran.r-project.org/package=rpatrec
Description: CRAN Package 'rpatrec' (Recognising Visual Charting Patterns in Time Series Data)
 Generating visual charting patterns and noise, smoothing to find a signal in
 noisy time series and enabling users to apply their findings to real life
 data.

Package: r-cran-rpca
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rpca_0.2.3-1.ca2004.1_all.deb
Size: 28428
MD5sum: cfea491d592518690de90ddbc4cbe37b
SHA1: 6f8f7c5859c25dd25277858c522807ae4fa514a8
SHA256: 34a53610a561021c00ad2526e430fdf4b082a74e63db4da7ed08bccc4291fee3
SHA512: e4c0ce1345b3c44e84c34548108aad42f17ac375fedc7a5a684bf85250dbf2675ab33d0ffe346db91c74ad88de378c2578870cb92ccddda3d7dd26d398827fd0
Homepage: https://cran.r-project.org/package=rpca
Description: CRAN Package 'rpca' (RobustPCA: Decompose a Matrix into Low-Rank and SparseComponents)
 Suppose we have a data matrix, which is the superposition of a low-rank
 component and a sparse component. Candes, E. J., Li, X., Ma, Y., & Wright,
 J. (2011). Robust principal component analysis?. Journal of the ACM (JACM),
 58(3), 11. prove that we can recover each component individually under some
 suitable assumptions. It is possible to recover both the low-rank and the
 sparse components exactly by solving a very convenient convex program called
 Principal Component Pursuit; among all feasible decompositions, simply
 minimize a weighted combination of the nuclear norm and of the L1 norm. This
 package implements this decomposition algorithm resulting with Robust PCA
 approach.

Package: r-cran-rpcdsearch
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-stringr, r-cran-dplyr, r-cran-combinat, r-cran-xlsx
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rpcdsearch_1.0-1.ca2004.1_all.deb
Size: 47600
MD5sum: 0abec72b5a73c750dffe14d7fa19f071
SHA1: 008266d7e5584a3ca104239ac4bc510a833cd1b9
SHA256: 64a3525e69b92578c0809811ba7a93889e520b3a0b13cee459546593add9ff39
SHA512: a0896646f6def8f894990af1a96f25b3103400dc4ffd51cacbf239c974398d6d57ccf19d3b30bf4fbb93fbc183940eeefbcb690ea8a225dd313cb6cfc9a51bbf
Homepage: https://cran.r-project.org/package=rpcdsearch
Description: CRAN Package 'rpcdsearch' (Tools for the Construction of Clinical Code Lists for PrimaryCare Database Studies)
 Allows users to identify relevant clinical codes and automate the
 construction of clinical code lists for primary care database studies. This
 package is analogous to the Stata command pcdsearch.

Package: r-cran-rpcss
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-factominer, r-cran-ggplot2, r-cran-ggrepel, r-cran-gslnls, r-cran-mathjaxr, r-cran-rdpack, r-cran-tidyr
Suggests: r-cran-evaluatecore, r-cran-factoextra, r-cran-knitr, r-cran-rmarkdown, r-cran-pander
Filename: pool/dists/focal/main/r-cran-rpcss_0.1.0-1.ca2004.1_all.deb
Size: 480268
MD5sum: b1037efeaa5bcc1b0fcfb6d8b71335ae
SHA1: ff379a92381de8280447d7e629698638b8492230
SHA256: 78f152566af99e5da86ad24485d197987d5ad1a1c11c9098dd1b2a76e8a6b93a
SHA512: 17485885abe64fd2f16ccdd23a2e0455ed7adf27530d4dfc0a38eed9868f2d03a92afa0e729d33cd817a9236a07ae710342bd22953c3c9d0d1d2fdaec261c5b0
Homepage: https://cran.r-project.org/package=rpcss
Description: CRAN Package 'rpcss' (Constitution of Core Collections by Principal Component ScoringStrategy)
 Generate a Core Collection with Principal Component Scoring Strategy (PCSS)
 using qualitative and/or quantitative trait data according to Hamon and
 Noirot (1990) <https://www.documentation.ird.fr/hor/fdi:36506>, Noirot et
 al. (1996) <doi:10.2307/2527837> and Noirot et al. (2003)
 <https://www.documentation.ird.fr/hor/fdi:010031886>.

Package: r-cran-rpdb
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-rpdb_2.3.4-1.ca2004.1_all.deb
Size: 326444
MD5sum: 820b471a7b65d4f4042eaabf09f491fc
SHA1: 834c889a42912321c26a93932c164a9889bdfce8
SHA256: 62efeaaf027c804f244ff9a000f785066d437a75962bd07f3c93441ac734bccd
SHA512: 3faa9d248ef38d0f38e399c9ff7890b26a86d244800a5d5fa2a40b8212d1eaa77b13dfa46afb6ac1d05e983f294e2eed8334612bfd6c6a6df048c3ffc18b6f4e
Homepage: https://cran.r-project.org/package=Rpdb
Description: CRAN Package 'Rpdb' (Read, Write, Visualize and Manipulate PDB Files)
 Provides tools to read, write, visualize Protein Data Bank (PDB) files and
 perform some structural manipulations.

Package: r-cran-rpdbapi
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-bio3d, r-cran-magrittr, r-cran-testthat
Suggests: r-cran-r3dmol
Filename: pool/dists/focal/main/r-cran-rpdbapi_2.1.1-1.ca2004.1_all.deb
Size: 166604
MD5sum: 7640558bc12f5bcd8fb91de8c2a8710b
SHA1: c997a4093f8edd4ab9c6888ab2ab7171a23196f5
SHA256: 3138998a42ce8c2011e56e47c6d20068f8c5613d7a679b5726fadbc39c69f25b
SHA512: a18b022c715cce0cf8b0d32411bff2d89c79a9af40185e1990dbd3f3ae44fc7d6951ec428346eb03e8dd47db316040047419eb4cde28639a6a1f0ddf7ecd0ff0
Homepage: https://cran.r-project.org/package=rPDBapi
Description: CRAN Package 'rPDBapi' (A Comprehensive Interface for Accessing the Protein Data Bank)
 Streamlines the interaction with the 'RCSB' Protein Data Bank ('PDB')
 <https://www.rcsb.org/>. This interface offers an intuitive and powerful
 tool for searching and retrieving a diverse range of data types from the
 'PDB'. It includes advanced functionalities like BLAST and sequence motif
 queries. Built upon the existing XML-based API of the 'PDB', it simplifies
 the creation of custom requests, thereby enhancing usability and flexibility
 for researchers.

Package: r-cran-rpdo
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-chk, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-rlang, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpdo_0.3.2-1.ca2004.1_all.deb
Size: 74640
MD5sum: 0033a781f1cfceef70f8a9ece16e435d
SHA1: 93bc90a185ca5c26619f7af5a6bcfece5b529a45
SHA256: 6929c7aeb13bdb1d9fb84139cc5220bdd36204111ab12cafd096e8dabb08a794
SHA512: fbf49dc3f041524bb49345f7fdfe138d804230098ec263186d4a102429896b59efee51a4ba34e00459de05f6a47b76ce0d958b72342c5d28f9fae882066eefb8
Homepage: https://cran.r-project.org/package=rpdo
Description: CRAN Package 'rpdo' (Pacific Decadal Oscillation Index Data)
 Monthly Pacific Decadal Oscillation (PDO) index values from January 1900 to
 September 2018.  Superseded by 'rsoi' package which includes the historical
 and most recent monthly PDO index values together with related climate
 indices.

Package: r-cran-rpdtest
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-rpdtest_0.0.2-1.ca2004.1_all.deb
Size: 25784
MD5sum: a5ed28e74fecf1e280479df609a908f1
SHA1: fc3d154dd63f1c551061fefd31e649f96cc11ac6
SHA256: 3c64594cd3e19e0da3ba85721e6e5caaa469dbd56130b11fdbda527d2ba356a0
SHA512: a3602528d676f48bbb30920ee61adec252dd9d3b9d35ba7aefa8d668b007e0c33ee7662cd88a52c8bee4cc89c44664a03da9e2277d44318bc9548c51a45aacea
Homepage: https://cran.r-project.org/package=RPDTest
Description: CRAN Package 'RPDTest' (A New Type of Test Statistic and Method for MultinomialGoodness-of-Fit Test)
 Performs multinomial goodness-of-fit test on multinomially distributed data
 using the Randomized phi-divergence test statistics. Details of this kind of
 statistics can be found at Nikita Puchkin, Vladimir Ulyanov (2023)
 <doi:10.1214/22-AIHP1299>.

Package: r-cran-rpeakchrom
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-minpack.lm, r-cran-pracma, r-cran-ptw
Filename: pool/dists/focal/main/r-cran-rpeakchrom_1.1.0-1.ca2004.1_all.deb
Size: 147680
MD5sum: d228d7dcac033df0981932c513d0f00a
SHA1: b7b5cfa8dec1e409617a3de1af90764924ffa958
SHA256: 39284735b5e39563e0251a947459eb149cfe0e5f0eae48e88988bbac244f997e
SHA512: 1319a3dc78397669fca9d37b3c9911037abfccb12563c68936954d22f5fc6bec29230462a6dbf23c45b7dca132c11428bd4d1deb4cc1afa9fcb9f88b9cbf76fb
Homepage: https://cran.r-project.org/package=RpeakChrom
Description: CRAN Package 'RpeakChrom' (Tools for Chromatographic Column Characterization and ModellingChromatographic Peak)
 The quantitative measurement and detection of molecules in HPLC should be
 carried out by an accurate description of chromatographic peaks. In this
 package non-linear fitting using a modified Gaussian model with a parabolic
 variance (PVMG) has been implemented to obtain the retention time and height
 at the peak maximum. This package also includes the traditional Van Deemter
 approach and two alternatives approaches to characterize chromatographic
 column.

Package: r-cran-rpeif
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 614
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-robstattm
Suggests: r-cran-r.rsp, r-cran-testthat, r-cran-performanceanalytics
Filename: pool/dists/focal/main/r-cran-rpeif_1.2.4-1.ca2004.1_all.deb
Size: 474800
MD5sum: 5446b9c3459819725a4d29753360798b
SHA1: a9166b6c19937e95afcc85f1dec7907528bf4913
SHA256: 379dd26e79bf49537d0e2def774c65e956b11a81a541fe1bf341cf97c1b1f6d0
SHA512: 11af679fa863c63be21e0bf61889ca3a65e1f6d4b921c2cfa40926d5651972225cdecb1b0ccf6a36d9d1c3540089ada487628fcab84f6a03ebfe13700675dab7
Homepage: https://cran.r-project.org/package=RPEIF
Description: CRAN Package 'RPEIF' (Computation and Plots of Influence Functions for Risk andPerformance Measures)
 Computes the influence functions time series of the returns for the risk and
 performance measures as mentioned in Chen and Martin (2018)
 <https://www.ssrn.com/abstract=3085672>, as well as in Zhang et al. (2019)
 <https://www.ssrn.com/abstract=3415903>. Also evaluates estimators influence
 functions at a set of parameter values and plots them to display the shapes
 of the influence functions.

Package: r-cran-rpensemble
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-class
Filename: pool/dists/focal/main/r-cran-rpensemble_0.5-1.ca2004.1_all.deb
Size: 137316
MD5sum: 904719791794ab1776302ecdb6346dc7
SHA1: d92e3e90f50742b1b4d7020420af912c3b17556a
SHA256: 1a4c9d0cbda8db489977347b981618c04c91bad4946d8c782c7f0e4825f3654c
SHA512: 11845253e700aa6ba4d94d0f2c829039d7be87489be12c481edee54ba084579f5f6b81caa1734666967c6e1ff2568bf9ad3cb93e5ce03a3be342fe399326b1f3
Homepage: https://cran.r-project.org/package=RPEnsemble
Description: CRAN Package 'RPEnsemble' (Random Projection Ensemble Classification)
 Implements the methodology of "Cannings, T. I. and Samworth, R. J. (2017)
 Random-projection ensemble classification, J. Roy. Statist. Soc., Ser. B.
 (with discussion), 79, 959--1035". The random projection ensemble classifier
 is a general method for classification of high-dimensional data, based on
 careful combination of the results of applying an arbitrary base classifier
 to random projections of the feature vectors into a lower-dimensional space.
 The random projections are divided into non-overlapping blocks, and within
 each block the projection yielding the smallest estimate of the test error
 is selected. The random projection ensemble classifier then aggregates the
 results of applying the base classifier on the selected projections, with a
 data-driven voting threshold to determine the final assignment.

Package: r-cran-rpese
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-boot, r-cran-rpeif, r-cran-rpeglmen, r-cran-robstattm
Suggests: r-cran-testthat, r-cran-r.rsp, r-cran-performanceanalytics
Filename: pool/dists/focal/main/r-cran-rpese_1.2.5-1.ca2004.1_all.deb
Size: 392408
MD5sum: 58b54cf11118129bcc95a8aa146d3f6b
SHA1: 7967e9653e6cd6fbb5c80a39539f56a0df42f522
SHA256: 8b5aef46bf303f26e6846a30dcf0a30de6a1026b298d08378c876c3da05856ce
SHA512: 005899fdbc1f2e99101c6fc643eaa005fd870a66388a2ba9f5921e2d5f2703400909fa85feb0da097a04978ca19349cf49ca67e336fbff3db7f47fd22d460b59
Homepage: https://cran.r-project.org/package=RPESE
Description: CRAN Package 'RPESE' (Estimates of Standard Errors for Risk and Performance Measures)
 Estimates of standard errors of popular risk and performance measures for
 asset or portfolio returns using methods as described in Chen and Martin
 (2021) <doi:10.21314/JOR.2020.446>.

Package: r-cran-rpexe.rpext
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rpexe.rpext_0.0.2-1.ca2004.1_all.deb
Size: 506760
MD5sum: a30c13bbc5d4afff49b6b08d590701e1
SHA1: 30a587d34f9045c4b91975ee91fd109af75bfe30
SHA256: 468669a483dcf7ea9c8d05e7a19cff5d4fd1aa673b45f5ea973b7862226f9772
SHA512: 931ca09804b15691407c9632430c5c5ceef0a8d9a2b8fa6d79f5015111d1e60b2feda77ea2e2e36adb714edc43d71f7b5b4387969c869371912f4d960883993c
Homepage: https://cran.r-project.org/package=RPEXE.RPEXT
Description: CRAN Package 'RPEXE.RPEXT' (Reduced Piecewise Exponential Estimate/Test Software)
 This reduced piecewise exponential survival software implements the
 likelihood ratio test and backward elimination procedure in Han, Schell, and
 Kim (2012 <doi:10.1080/19466315.2012.698945>, 2014 <doi:10.1002/sim.5915>),
 and Han et al. (2016 <doi:10.1111/biom.12590>). Inputs to the program can be
 either times when events/censoring occur or the vectors of total time on
 test and the number of events. Outputs of the programs are times and the
 corresponding p-values in the backward elimination. Details about the model
 and implementation are given in Han et al. 2014. This program can run in R
 version 3.2.2 and above.

Package: r-cran-rphylip
Architecture: all
Version: 0.1-23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape
Filename: pool/dists/focal/main/r-cran-rphylip_0.1-23-1.ca2004.1_all.deb
Size: 393608
MD5sum: cd132e4abc7d2c88f7ee91bad9bd3864
SHA1: 4d726d8239aa88cc1a87987a4cb3fc92bf102375
SHA256: 2143514450dc92532fcd2d5896c47b9e7734afb971494b41951052bc67d2dd52
SHA512: e5ec0009040024248272d2c3eb11d984003f5ba0a6630d5e03f7b5f3cbe872b06f181a679f14373757f3dfe737c8e12e84bf36c0d50a88accbba63f1f3d4751f
Homepage: https://cran.r-project.org/package=Rphylip
Description: CRAN Package 'Rphylip' (An R interface for PHYLIP)
 Rphylip provides an R interface for the PHYLIP package. All users of Rphylip
 will thus first have to install the PHYLIP phylogeny methods program package
 (Felsenstein 2013). See http://www.phylip.com for more information about
 installing PHYLIP.

Package: r-cran-rphylopic
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2683
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-jsonlite, r-cran-png, r-cran-grimport2, r-cran-rsvg, r-cran-httr, r-cran-curl, r-cran-lifecycle, r-cran-pbapply, r-cran-knitr, r-cran-scales
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-rmarkdown, r-cran-covr, r-cran-phytools, r-cran-palaeoverse, r-bioc-ggtree, r-cran-ape, r-cran-deeptime, r-cran-palmerpenguins, r-cran-maps, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rphylopic_1.5.0-1.ca2004.1_all.deb
Size: 2055480
MD5sum: cab32f74a725e7a7094ac6202b54cf8b
SHA1: 3da3243c7b5d89e89626946bd20d44a248f6c4a0
SHA256: 58a3c66071b1f87db58b1c85fe58894b8a4ca3cbef38573db9420571d88b36bd
SHA512: 75418d22a9304a1fa673f436a927a32e864b6425673140332f9d42c4b00f10fcdacad319089c19292fe8b28e56cf3266d2a9081a427b90b851e8506126de4e13
Homepage: https://cran.r-project.org/package=rphylopic
Description: CRAN Package 'rphylopic' (Get Silhouettes of Organisms from PhyloPic)
 Work with the PhyloPic Web Service (<http://api-docs.phylopic.org/v2/>) to
 fetch silhouette images of organisms. Includes functions for adding
 silhouettes to both base R plots and ggplot2 plots.

Package: r-cran-rpinterest
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rjson, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rpinterest_0.3.1-1.ca2004.1_all.deb
Size: 36320
MD5sum: b97f3b1eed846402531c8a4d10e8f979
SHA1: bca3eda83eaaf0f3c8605f18f3eed06839ad49f4
SHA256: f5116b50dea0063c83b8327bf1540b22957404aee24e857fa59a57fa23630a7d
SHA512: 8885cb4a27b22b6196d619338768e93ba7f783be011169fa1945e44cee95b008f3731ca79de8ae16fd3b648f34e96bf3cf4f1b1032a44b5d16778baad30b4614
Homepage: https://cran.r-project.org/package=rpinterest
Description: CRAN Package 'rpinterest' (Access Pinterest API)
 Get information (boards, pins and users) from the Pinterest
 <http://www.pinterest.com> API.

Package: r-cran-rpivottable
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1978
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-dplyr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-rpivottable_0.3.0-1.ca2004.1_all.deb
Size: 314276
MD5sum: 42b9e8b45e6e0efd055d26405306f972
SHA1: 73bd0e0948fa3a950166e4fd0f1e5934900d8218
SHA256: 2dc151e74630a6f7eeff12bfad51a100c0cfb8f5e54de923e034c7250427a81f
SHA512: ca658169e00ff676fcd39fd6497424a881a024f66747c693769cda5900f30579715bbeb76c3ace69f82e351ee6837f5cdcd87fcad66de421962fa19f4f11b342
Homepage: https://cran.r-project.org/package=rpivotTable
Description: CRAN Package 'rpivotTable' (Build Powerful Pivot Tables and Dynamically Slice & Dice yourData)
 Build powerful pivot tables (aka Pivot Grid, Pivot Chart, Cross-Tab) and
 dynamically slice & dice / drag 'n' drop your data. 'rpivotTable' is a
 wrapper of 'pivottable', a powerful open-source Pivot Table library
 implemented in 'JavaScript' by Nicolas Kruchten. Aligned to 'pivottable'
 v2.19.0.

Package: r-cran-rplanes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dtw, r-cran-ecp, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-dt, r-cran-ggplot2, r-cran-markdown, r-cran-knitr, r-cran-mmwrweek, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-shinycssloaders, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rplanes_0.1.0-1.ca2004.1_all.deb
Size: 1107708
MD5sum: ac40e7bb9aeaa991ddb277b1bff6cc15
SHA1: 9e58eaa155b6dc264ea720d71349bd355594313d
SHA256: fa84ccf70fddf6ed126f40df4f47a9ec86784d3a995df536417cb86ce722325c
SHA512: c92482ffe7a8361d97aab5e209b69cdb8b0b879d46e5e8f6f486804a4069a70f4f149911b8f0dc6c442fe423835d2793ea04e7e8c4383b368674c05f039f36eb
Homepage: https://cran.r-project.org/package=rplanes
Description: CRAN Package 'rplanes' (Plausibility Analysis of Epidemiological Signals)
 Provides functionality to prepare data and analyze plausibility of both
 forecasted and reported epidemiological signals. The functions implement a
 set of plausibility algorithms that are agnostic to geographic and time
 resolutions and are calculated independently then presented as a combined
 score.

Package: r-cran-rplec
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3966
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-pbapply, r-cran-purrr, r-cran-rpmm, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rplec_0.1.3-1.ca2004.1_all.deb
Size: 3232748
MD5sum: 20c62822055e08ad2b5ec731ae7a91c3
SHA1: e7dde5acf40e47a63075b45644f2d63a4b138ee5
SHA256: 3e37939ca9a7ef6498e4840c99cb7742771e2a998207d0ffb6700764be250e1a
SHA512: fa04e5a246eabe539273179526578ff44816c7aba2f328e842450910868d28fa1514d264396a32043b9e3dace1837bfa5af805c89867169b6b9980a0cfdb0fec
Homepage: https://cran.r-project.org/package=rplec
Description: CRAN Package 'rplec' (Placental Epigenetic Clock to Estimate Aging by DNA Methylation)
 Placental epigenetic clock to estimate aging based on gestational age using
 DNA methylation levels, so called placental epigenetic clock (PlEC). We
 developed a PlEC for the 2024 Placental Clock DREAM Challenge
 (<https://www.synapse.org/Synapse:syn59520082/wiki/628063>). Our PlEC
 achieved the top performance based on an independent test set. PlEC can be
 used to identify accelerated/decelerated aging of placenta for understanding
 placental dysfunction-related conditions, e.g., great obstetrical syndromes
 including preeclampsia, fetal growth restriction, preterm labor, preterm
 premature rupture of the membranes, late spontaneous abortion, and placental
 abruption. Detailed methodologies and examples are documented in our
 vignette, available at
 <https://herdiantrisufriyana.github.io/rplec/doc/placental_aging_analysis.html>.

Package: r-cran-rplos
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1845
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-crul, r-cran-jsonlite, r-cran-dplyr, r-cran-plyr, r-cran-lubridate, r-cran-reshape2, r-cran-whisker, r-cran-solrium
Suggests: r-cran-xml2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-webmockr, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rplos_1.0.0-1.ca2004.1_all.deb
Size: 1438140
MD5sum: 7cf9df1db70cc6b25930e8f7d992bf0f
SHA1: dfe6002c6eea19d603542fa0d32d75e2fa7f175d
SHA256: 8a14bd36437b0ba02262dc3f50fcee1c018cd0ec43e6d9f7a4fb6b7c1a20dcb5
SHA512: 16e2bc3b8987a9cbd7e745d81aa44262981da71bfb71416d3fa29a45cb90b043bac43e5eb4a3604e567fad10a70d0a39ff33eec80b75230acf4bc93f537e77c6
Homepage: https://cran.r-project.org/package=rplos
Description: CRAN Package 'rplos' (Interface to the Search API for 'PLoS' Journals)
 A programmatic interface to the 'SOLR' based search API
 (<http://api.plos.org/>) provided by the Public Library of Science journals
 to search their articles.  Functions are included for searching for
 articles, retrieving articles, making plots, doing 'faceted' searches,
 'highlight' searches, and viewing results of 'highlighted' searches in a
 browser.

Package: r-cran-rplotengine
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-rplotengine_1.0-9-1.ca2004.1_all.deb
Size: 114372
MD5sum: 17a3699305dd191e79cade9d71c6c5d8
SHA1: 64efbe7817bb6bdc85fe12d601c9f46e31a70bf1
SHA256: 74f7bcff442baba32bd86d3d8026e14b154d5339d9382a6339ae963e9a9d1c41
SHA512: 81d26b5c527aaf798efbe16bebcc775a6e71ef2dcc47b4b4c731e2dd56b853cd78bfb42941c96da43bbae46a395a130b5ebdfd6e3f8ade4fad535ff22068d2cb
Homepage: https://cran.r-project.org/package=rplotengine
Description: CRAN Package 'rplotengine' (R as a Plotting Engine)
 Generate basic charts either by custom applications, or from a small script
 launched from the system console, or within the R console. Two ASCII text
 files are necessary: (1) The graph parameters file, which name is passed to
 the function 'rplotengine()'.  The user can specify the titles, choose the
 type of the graph, graph output formats (e.g. png, eps), proportion of the
 X-axis and Y-axis, position of the legend, whether to show or not a grid at
 the background, etc.  (2) The data to be plotted, which name is specified as
 a parameter ('data_filename') in the previous file. This data file has a
 tabulated format, with a single character (e.g. tab) between each column.
 Optionally, the file could include data columns for showing confidence
 intervals.

Package: r-cran-rplotterpkg
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-rlang, r-cran-gt, r-cran-gtable, r-cran-glue, r-cran-purrr, r-cran-ggplotify, r-cran-aplpack
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-here, r-cran-socviz, r-cran-tsbox, r-cran-gapminder, r-cran-palmerpenguins, r-cran-spdata, r-cran-sf, r-cran-raster, r-cran-elevatr, r-cran-maps
Filename: pool/dists/focal/main/r-cran-rplotterpkg_0.1.3-1.ca2004.1_all.deb
Size: 375692
MD5sum: fa1b7ff2de338998d78fc654c3bc82cc
SHA1: ece1dad3f9ba0e07ca83d16d9e57ebed879ccc70
SHA256: 758973b3d5389fbf8ef08825dcd2ca07623380c35dee8c6e74ccb7d502111490
SHA512: 09eb6cc4b4f39b345c8204b5ff80547597a0d75889479cc92fa15cc7fdd6dc693d380f0f0642bacaa0f49c96f85c95b3465b4e99126867a50603b36d7205912d
Homepage: https://cran.r-project.org/package=RplotterPkg
Description: CRAN Package 'RplotterPkg' (R Plotting Functions Using 'ggplot2')
 Makes it easy to produce everyday 'ggplot2' charts in a functional way
 without an extensive "tree" implementation. The package includes over 15
 functions for the production and arrangement of basic graphing.

Package: r-cran-rpls
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pcapp, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-rpls_0.6.0-1.ca2004.1_all.deb
Size: 43128
MD5sum: d723ed70657fc7ee0a172022906c6a38
SHA1: d15a19f7c7ef8320514fd97658d296201e4ca9d7
SHA256: d99594b22b8791aa9f1075cb70d2ff080f72a65ea50cebc718932be9a90c155a
SHA512: a941462747062c8cb4afb45ca244dc1a6e7e9155d70f03346b7e4aeb64ce4ac352ffb93049713345db08e235204cc2c76b3155ba14d00619935b94e056aee175
Homepage: https://cran.r-project.org/package=rpls
Description: CRAN Package 'rpls' (Robust Partial Least Squares)
 A robust Partial Least-Squares (PLS) method is implemented that is robust to
 outliers in the residuals as well as to leverage points. A specific
 weighting scheme is applied which avoids iterations, and leads to a highly
 efficient robust PLS estimator.

Package: r-cran-rplum
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rintcal, r-cran-rice, r-cran-rbacon
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-rplum_1.0.0-1.ca2004.1_all.deb
Size: 234444
MD5sum: 5d8385dea3e7d10c3f60b413370f028f
SHA1: deb044bb382ef0340c7880b2acd4bfc78b0aaca4
SHA256: 3fb208530789f3047309ef947f53da52866f18de6ef6235c896ed51e13cdb222
SHA512: 639774a0dfd997cc70591f71156a003684cf53defaed546826ea11029b6493deffcf488f12cb6c73c8ff697664bab2f83d0cff12b12ce1ed03d46a413923b24a
Homepage: https://cran.r-project.org/package=rplum
Description: CRAN Package 'rplum' (Bayesian Age-Depth Modelling of Cores Dated by Pb-210)
 An approach to age-depth modelling that uses Bayesian statistics to
 reconstruct accumulation histories for 210Pb-dated deposits using prior
 information. It can combine 210Pb, radiocarbon, and other dates in the
 chronologies. See Aquino et al. (2018) <doi:10.1007/s13253-018-0328-7>. Note
 that parts of the code underlying 'rplum' are derived from the 'rbacon'
 package by the same authors, and there remains a degree of overlap between
 the two packages.

Package: r-cran-rpmg
Architecture: all
Version: 2.2-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rpmg_2.2-7-1.ca2004.1_all.deb
Size: 212960
MD5sum: 6c114a77ebc02cc368ca34af6b481e0b
SHA1: 48f45f20ce0f9bb2fb8d3a92f0a07c25196331a7
SHA256: 5d5188cb6b9e0b36ba7c63e782b8226a14701b2621d5357d2b872c194b54137e
SHA512: 69c977a3ea2b24012c34f1ffbe41088222466d1591846782ad8857be244a707e2258c3ac359229ef38bae7a03dfbd1a442caba42d3d2ad2611c8170087b93eff
Homepage: https://cran.r-project.org/package=RPMG
Description: CRAN Package 'RPMG' (Graphical User Interface (GUI) for Interactive R AnalysisSessions)
 Really Poor Man's Graphical User Interface, used to create interactive R
 analysis sessions with simple R commands.

Package: r-cran-rpmm
Architecture: all
Version: 1.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-rpmm_1.25-1.ca2004.1_all.deb
Size: 261660
MD5sum: e7b21873d4a8de3083cc47ab9fd1e806
SHA1: 959085804d02e2ecfaf89c218b1ec7f60393e368
SHA256: 09ed937c7473d2fa20ffac7113c481110b17093782b0677751a741b915e53114
SHA512: 3bc567b8a92107eb2a820ebee34cbae0b4202fc56a9bec640c5afe4f74a397c2462aaf4336972ec10832966c350d7cb7e8de6e65a8ce08f34e5675656049e9cc
Homepage: https://cran.r-project.org/package=RPMM
Description: CRAN Package 'RPMM' (Recursively Partitioned Mixture Model)
 Recursively Partitioned Mixture Model for Beta and Gaussian Mixtures.  This
 is a model-based clustering algorithm that returns a hierarchy of classes,
 similar to hierarchical clustering, but also similar to finite mixture
 models.

Package: r-cran-rpmodel
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 939
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rpmodel_1.2.3-1.ca2004.1_all.deb
Size: 550304
MD5sum: c438fa1c1610f55b21571cdd65155c73
SHA1: 31740fa1ea36370d577c11eface79ea9e92e4244
SHA256: dafda24b8262f1b87a7399dbeec6e9c878485c18f9f1db19f8df4a976579cf20
SHA512: 87280ca971986378a93ae1993836936b66057ff23fd7118582914c0691b4de0adaaf93d0042058d8f81feb8e6f46c3d3fa978629c9290f7c9e98a67a7d261436
Homepage: https://cran.r-project.org/package=rpmodel
Description: CRAN Package 'rpmodel' (P-Model)
 Implements the P-model (Stocker et al., 2020
 <doi:10.5194/gmd-13-1545-2020>), predicting acclimated parameters of the
 enzyme kinetics of C3 photosynthesis, assimilation, and dark respiration
 rates as a function of the environment (temperature, CO2, vapour pressure
 deficit, light, atmospheric pressure).

Package: r-cran-rpnf
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpnf_1.0.5-1.ca2004.1_all.deb
Size: 106748
MD5sum: 3ae11adfa4104329ca08f9c9729f448c
SHA1: 79f2d576590e8ffd34c247c2b6aec5274015dc41
SHA256: 590527ef1eca5453a56e17b61ea2724242d7d3de6f0708c631be2060093da68c
SHA512: 10e12cce526ccae329a4219e58285d6752d04628a42faed87379459e260ca30e4953e7b5710a33d9d5a59f0ea1f6915fe38892173c8439e69945be6e5183b79c
Homepage: https://cran.r-project.org/package=rpnf
Description: CRAN Package 'rpnf' (Point and Figure Package)
 A set of functions to analyze and print the development of a commodity using
 the Point and Figure (P&F) approach. A P&F processor can be used to
 calculate daily statistics for the time series. These statistics can be used
 for deeper investigations as well as to create plots. Plots can be generated
 as well known X/O Plots in plain text format, and additionally in a more
 graphical format.

Package: r-cran-rpoet
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-httr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rpoet_1.1.0-1.ca2004.1_all.deb
Size: 17932
MD5sum: f181b07323010cb0a2a216ee896b86b9
SHA1: 61ed79ab34359f81e3b37e51f105b0f8ff86da09
SHA256: a9618376b44e5afc0788f9ec58b3ab6f776d89552287c04ff9a72d48d2a63b5c
SHA512: 4377596b6e45e20764ca7355c0c428c8ff4db122dfb17429e8dd9b4e62632db7af1ff98ff551665df2214fc7ad48aa7e244cd82554fbeb3461bcf61ef56fefa6
Homepage: https://cran.r-project.org/package=Rpoet
Description: CRAN Package 'Rpoet' ('PoetryDB' API Wrapper)
 Wrapper for the 'PoetryDB' API <http://poetrydb.org> that allows for
 interaction and data extraction from the database in an R interface. The
 'PoetryDB' API is a database of poetry and poets implemented with 'MongoDB'
 to enable developers and poets to easily access one of the most
 comprehensive poetry databases currently available.

Package: r-cran-rpointcloud
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3750
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tda, r-cran-classdiscovery, r-cran-classcomparison, r-cran-mercator, r-cran-rgl, r-cran-circlize
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-polychrome, r-cran-igraph, r-cran-ape, r-cran-pcdimension
Filename: pool/dists/focal/main/r-cran-rpointcloud_0.8.0-1.ca2004.1_all.deb
Size: 2496108
MD5sum: 187ae8eb2d8c6c63c16e8c363755c558
SHA1: af96a4a34ae00bae277d226c3044b2b67672fb92
SHA256: 1745c3c4b6300178a0d02ea67690f2f7ccb241f46b706cd8b0e4ca8b6290b076
SHA512: 4e194a03ea72e8aa39ae117690474ea67c8dcf1bf9b9cbd963b5220c1d15634167fda85984066da7ea131296481bd3963ded6493a1a8db811b115deb3269a215
Homepage: https://cran.r-project.org/package=RPointCloud
Description: CRAN Package 'RPointCloud' (Visualizing Topological Loops and Voids)
 Visualizations to explain the results of a topological data analysis. The
 goal of topological data analysis is to identify persistent topological
 structures, such as loops (topological circles) and voids (topological
 spheres), in data sets. The output of an analysis using the 'TDA' package is
 a Rips diagram (named after the mathematician Eliyahu Rips). The goal of
 'RPointCloud' is to fill in these holes in the data by providing tools to
 visualize the features that help explain the structures found in the Rips
 diagram. See McGee and colleagues (2024) <doi:10.1101/2024.05.16.593927>.

Package: r-cran-rpolyhedra
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2930
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-geometry, r-cran-rgl, r-cran-stringr, r-cran-xml, r-cran-digest, r-cran-lgr, r-cran-dplyr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-covr, r-cran-codemetar
Filename: pool/dists/focal/main/r-cran-rpolyhedra_0.5.6-1.ca2004.1_all.deb
Size: 1517044
MD5sum: 4b5a6b911996fa04084ec1d1992f3e9b
SHA1: 48aed920badab706170298e5b81aa5e47c358eff
SHA256: 863e9ff485fa9a0e2e461d184f2e515aa438d712249159d44d87c0d768965339
SHA512: 48cc24634a62dffd65f714e748ac8795e601d88c2d8778d72eacb52d3b8297b97aa1b8260b6c9116921bceafc9006c3771f9a814e1cb7522e47afc191ac80fc7
Homepage: https://cran.r-project.org/package=Rpolyhedra
Description: CRAN Package 'Rpolyhedra' (Polyhedra Database)
 A polyhedra database scraped from various sources as R6 objects and 'rgl'
 visualizing capabilities.

Package: r-cran-rportfolio
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rportfolio_0.0.3-1.ca2004.1_all.deb
Size: 55464
MD5sum: bde866668d753c58c26c0ad40d1eb226
SHA1: 2ade18fb919809e5b4646ef1180d04d84137f6b4
SHA256: a33555d6e11142c4eeefe3321c8f36e5bbfada659828dd999b132e9fad077b73
SHA512: 6b9c2d34dcf45e28ed944a0b3de513220393380414b3495269be7bcf16b8f7df86d9bf3419ea838b15e04e2c57d22538b4230e037441f60c8ae4bc8a06a445f0
Homepage: https://cran.r-project.org/package=rportfolio
Description: CRAN Package 'rportfolio' (Portfolio Theory)
 Collection of tools to calculate portfolio performance metrics. Portfolio
 performance is a key measure for investors. These metrics are important to
 analyse how effectively their money has been invested. This package uses
 portfolio theories to give investor tools to evaluate their portfolio
 performance. For more information see, Markowitz, H.M. (1952),
 <doi:10.2307/2975974>. Analysis of Investments & Management of Portfolios
 [2012, ISBN:978-8131518748].

Package: r-cran-rportfolios
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncdist
Filename: pool/dists/focal/main/r-cran-rportfolios_1.0-1-1.ca2004.1_all.deb
Size: 218768
MD5sum: 760560a6ffdb7fcc2a6f12b742679c89
SHA1: 6db1aed8a9b2fb008268a4c10d60512fa76c8942
SHA256: 4b6d8088225927216634b91382886ac14513b7800deae12f482ece65bba32f3a
SHA512: 0ffedc956033bef5367d33aa80ccca2eee18e4a49b998be00fe8f97e267e45007989230e7dea3535dcc07e2faf724ace0d1d38bd449b30a7bdb9083d1b7e97aa
Homepage: https://cran.r-project.org/package=rportfolios
Description: CRAN Package 'rportfolios' (Random Portfolio Generation)
 A collection of tools used to generate various types of random portfolios.
 The weights of these portfolios are random variables derived from truncated
 continuous random variables.

Package: r-cran-rpostgis
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpostgresql, r-cran-dbi, r-cran-sf, r-cran-terra, r-cran-cli, r-cran-lifecycle
Suggests: r-cran-rpostgres, r-cran-testthat, r-cran-sp, r-cran-raster
Filename: pool/dists/focal/main/r-cran-rpostgis_1.6.0-1.ca2004.1_all.deb
Size: 281284
MD5sum: 7967b49565825a26d26cca1bdb4aa6c6
SHA1: 5f5180050a2fed1f66fe3671b7a964d6f22ccc97
SHA256: c46c302139cb761820404e72a826ce83850ef408cefb9ecc33cdefcdccb4b049
SHA512: 504f52b2e293b75ba3c9e7efe3d6eebf80688803bbddd166806eb5344cb95d5874cf536b53061bf52200e16d49ca40079eb4b8fcaea4fd55e820e68f25db64fa
Homepage: https://cran.r-project.org/package=rpostgis
Description: CRAN Package 'rpostgis' (R Interface to a 'PostGIS' Database)
 Provides an interface between R and 'PostGIS'-enabled 'PostgreSQL' databases
 to transparently transfer spatial data. Both vector (points, lines,
 polygons) and raster data are supported in read and write modes. Also
 provides convenience functions to execute common procedures in
 'PostgreSQL/PostGIS'.

Package: r-cran-rpowersamplesize
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-ssanv
Filename: pool/dists/focal/main/r-cran-rpowersamplesize_1.0.2-1.ca2004.1_all.deb
Size: 199424
MD5sum: bc62162fe7cdb51db4a280da2ebe50c6
SHA1: 33bdfac22fd50a959d692d107b1c004554819c1d
SHA256: a42ed3d3eec71ad5dbe1667563186b4055c00743b6dcf45f137549edfda20107
SHA512: e55caf70427d81de3ea2f4efd2b0ab80857b01128b897cf8bef7570a8335eef63a0b4a81fedbcd032ab579a76b2bc87dbce51124021c1d7d21e19341087c559a
Homepage: https://cran.r-project.org/package=rPowerSampleSize
Description: CRAN Package 'rPowerSampleSize' (Sample Size Computations Controlling the Type-II GeneralizedFamily-Wise Error Rate)
 The significance of mean difference tests in clinical trials is established
 if at least r null hypotheses are rejected among m that are simultaneously
 tested. This package enables one to compute necessary sample sizes for
 single-step (Bonferroni) and step-wise procedures (Holm and Hochberg). These
 three procedures control the q-generalized family-wise error rate
 (probability of making at least q false rejections). Sample size is computed
 (for these single-step and step-wise procedures) in a such a way that the
 r-power (probability of rejecting at least r false null hypotheses, i.e. at
 least r significant endpoints among m) is above some given threshold, in the
 context of tests of difference of means for two groups of continuous
 endpoints (variables). Various types of structure of correlation are
 considered. It is also possible to analyse data (i.e., actually test
 difference in means) when these are available. The case r equals 1 is
 treated in separate functions that were used in Lafaye de Micheaux et al.
 (2014) <doi:10.1080/10543406.2013.860156>.

Package: r-cran-rppairwisedesign
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rppairwisedesign_1.0-1.ca2004.1_all.deb
Size: 64420
MD5sum: 50528333ae3ce364068ed5fc5e2dd6fb
SHA1: 7b303cd2033f36e50eea014072639738b7b2e6c2
SHA256: 73cd9dd6ef2966aa4f55af787aa4eede79a19f9352cb7ff0f066a96fe6b45686
SHA512: 5383a2811c4c77f8ce513ef0c71892216acbad8894150063bc92441655c235e2d3b6bdcd4c1aac9d8fed4b6a8c5b1cf0c09f37c30c090e42dae9dc3512edb946
Homepage: https://cran.r-project.org/package=RPPairwiseDesign
Description: CRAN Package 'RPPairwiseDesign' (Resolvable partially pairwise balanced design and Space-fillingdesign via association scheme)
 Using some association schemes to obtain a new series of resolvable
 partially pairwise balanced designs (RPPBD) and space-filling designs.

Package: r-cran-rppanalyzer
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5428
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quantreg, r-bioc-limma, r-cran-lattice, r-cran-gam, r-cran-gplots, r-cran-ggplot2, r-cran-hmisc, r-bioc-biobase
Filename: pool/dists/focal/main/r-cran-rppanalyzer_1.4.9-1.ca2004.1_all.deb
Size: 1467156
MD5sum: 9d1f0a3bde0675a4ffecb92d7dcbf2f6
SHA1: da2fc7a1157375e2756f17c2a45359fa198c5a34
SHA256: 8c9c2f352ca14ed3109dec00801641aa9d666885ca61b86606e3be240261e2bb
SHA512: c91c8b7ab3b5d8b34361f63ea7142d90dcebbe66da652ed3cbd8852cb982709ae9454b2195065c10a54e6844e4bebed57469435eb15801fb47a8b6601f2f7f2d
Homepage: https://cran.r-project.org/package=RPPanalyzer
Description: CRAN Package 'RPPanalyzer' (Reads, Annotates, and Normalizes Reverse Phase Protein ArrayData)
 Reads in sample description and slide description files and annotates the
 expression values taken from GenePix results files (text file format used by
 many microarray scanner and software providers).  After normalization data
 can be visualized as boxplot, heatmap or dotplot.

Package: r-cran-rppaspace
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1740
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-bmp, r-cran-jpeg, r-cran-tiff, r-cran-png, r-cran-imager, r-cran-cobs, r-cran-nlme, r-cran-robustbase, r-cran-mgcv, r-cran-sparsem, r-cran-quantreg, r-cran-timedate
Suggests: r-cran-boot, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rppaspace_1.0.10-1.ca2004.1_all.deb
Size: 1433384
MD5sum: bda5b8540b36955fde23224fbb31c369
SHA1: 0e2671cd8e81420ed9f3dcf85a910fbbee6d7f29
SHA256: aac7f70b8855e6152e22b2b328d218b2684187d8f6b9d80bccac3a2b1e05ca41
SHA512: 13f961d8c5fdfb8c971b5fc35825db9edd3f0a4b062ad9f1e3b947eaae0b35c1ea205cf6c607f890fac4b7509a50ec011f29a93cad3d1f6a45b1f1b4fedcbb2e
Homepage: https://cran.r-project.org/package=RPPASPACE
Description: CRAN Package 'RPPASPACE' (Reverse-Phase Protein Array Super Position and ConcentrationEvaluation)
 Provides tools for the analysis of reverse-phase protein arrays (RPPAs),
 which are also known as 'tissue lysate arrays' or simply 'lysate arrays'.
 The package's primary purpose is to input a set of quantification files
 representing dilution series of samples and control points taken from
 scanned RPPA slides and determine a relative log concentration value for
 each valid dilution series present in each slide and provide graphical
 visualization of the input and output data and their relationships. Other
 optional features include generation of quality control scores for judging
 the quality of the input data, spatial adjustment of sample points based on
 controls added to the slides, and various types of normalization of
 calculated values across a set of slides. The package was derived from a
 previous package named SuperCurve. For a detailed description of data inputs
 and outputs, usage information, and a list of related papers describing
 methods used in the package please review the vignette 'Guide_to_RPPASPACE'.
 'RPPA SPACE: an R package for normalization and quantitation of
 Reverse-Phase Protein Array data'. Bioinformatics Nov 15;38(22):5131-5133.
 <doi: 10.1093/bioinformatics/btac665>.

Package: r-cran-rpraat
Architecture: all
Version: 1.3.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-dygraphs, r-cran-tuner
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpraat_1.3.2-1-1.ca2004.1_all.deb
Size: 746772
MD5sum: e0c96c422650d5dee1091506f703e603
SHA1: 0d8901b0c66e74872df7e53f08382df074a21bf2
SHA256: 77eb1cc55a1374eae0d9d588059e89478267c695ce465b708e6f2bc5133c6482
SHA512: 6f27566757722b0579677242afadb93a644b86c35c8848a047640177880386d1182e4d0b888584e56bdcff80a76f9f37de894927f2007c35ad43f5fe0f216d1d
Homepage: https://cran.r-project.org/package=rPraat
Description: CRAN Package 'rPraat' (Interface to Praat)
 Read, write and manipulate 'Praat' TextGrid, PitchTier, Pitch,
 IntensityTier, Formant, Sound, and Collection files
 <https://www.fon.hum.uva.nl/praat/>.

Package: r-cran-rpredictit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-dt, r-cran-dygraphs, r-cran-magrittr, r-cran-quantmod, r-cran-xts, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rpredictit_0.1.0-1.ca2004.1_all.deb
Size: 237896
MD5sum: cc20cbf38fc343133f242877af585a00
SHA1: 9d11f20fabd7b31e8eeb4934b60133a24e2a9a37
SHA256: b2d15a2c3c6db1bb23a20dd1a794620ae35dbf1f249394ea8de2d4a641b5fb86
SHA512: 4ef6d256f2a8b44d73c03ac074839629b3fccaa871ddf57abb837d33d8fa0182a401d15431472634dd26b8aef53a22a09a691e25e3af6151e3e7c1bd04615725
Homepage: https://cran.r-project.org/package=rpredictit
Description: CRAN Package 'rpredictit' (Interface to the 'PredictIt' API)
 Wrapper to retrieve market data, explore available markets, and plot
 historical price data from the 'PredictIt' public API
 (<https://www.predictit.org/api/marketdata/all/>).  The package comes with a
 demo 'shiny' application for illustrating example use cases.  License to use
 data made available via the API is for non-commercial use and 'PredictIt' is
 the sole source of such data.

Package: r-cran-rpregression
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stargazer, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rpregression_0.1.0-1.ca2004.1_all.deb
Size: 14044
MD5sum: b7c3b438260d2541c728c9cb08a53140
SHA1: 4690db8ce0f0d2f92cb7e84aff4b4092235c1221
SHA256: bf7a45bd59c18929673554e7c31f3eb13ec2e7079399cad8f7f97f6c69b3f4aa
SHA512: 6b0177ef4856c49994f744f3999a4120151382696a7d6e9a1780df7f86c0be3726808eac089a358838a94d915c8906cbbd148867f65948b02d8b2215287034a3
Homepage: https://cran.r-project.org/package=RPregression
Description: CRAN Package 'RPregression' (A Simple Regression and Plotting Tool)
 Perform a regression analysis, generate a regression table, create a scatter
 plot, and download the results. It uses 'stargazer' for generating
 regression tables and 'ggplot2' for creating plots. With just two lines of
 code, you can perform a regression analysis, visualize the results, and save
 the output. It is part of my make R easy project where one doesn't need to
 know how to use various packages in order to get results and makes it easily
 accessible to beginners. This is a part of my make R easy project. Help from
 'ChatGPT' was taken. References were Wickham (2016)
 <doi:10.1007/978-3-319-24277-4>.

Package: r-cran-rpresto
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 764
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-httr, r-cran-openssl, r-cran-jsonlite, r-cran-stringi, r-cran-purrr, r-cran-dplyr, r-cran-dbplyr, r-cran-tibble, r-cran-bit64, r-cran-rlang, r-cran-lifecycle, r-cran-lubridate, r-cran-progress, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-hms, r-cran-knitr, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rpresto_1.4.7-1.ca2004.1_all.deb
Size: 458632
MD5sum: ffcb407d28afeb02fc24de2a75445992
SHA1: 0917230917e4a7008790edf452f7a20974f24f95
SHA256: 9139646e6c2c6cbe63e5cdb3dbc4fd18fa8355066ca697e24c594637043bb31b
SHA512: a7483bff97c4138e15b1bb81fc68e1f5886fa9dde7ad576ea5b1948257162c04449b9b7c631aa98579202464e1d079c64c0cbfde421611d4729ad27647c1a702
Homepage: https://cran.r-project.org/package=RPresto
Description: CRAN Package 'RPresto' (DBI Connector to Presto)
 Implements a 'DBI' compliant interface to Presto. Presto is an open source
 distributed SQL query engine for running interactive analytic queries
 against data sources of all sizes ranging from gigabytes to petabytes:
 <https://prestodb.io/>.

Package: r-cran-rprev
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2069
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval, r-cran-lubridate, r-cran-magrittr, r-cran-tidyr
Suggests: r-cran-flexsurv, r-cran-flexsurvcure, r-cran-knitr, r-cran-rmarkdown, r-cran-rms, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rprev_1.0.6-1.ca2004.1_all.deb
Size: 1308728
MD5sum: 8042198e53d3ddc0ab80d58ce5cf0f8c
SHA1: a8fa00f5fb234879c420f5255cbfa22f3309aede
SHA256: 4b747686ed3b89f86fee0f8d71802582a4b0de2c0d9b555f100e1ea90bba0c6d
SHA512: d655c74fe044f53f015c4a85837e9d49c62d1179cbdd450db2f2d34dfb41ce5c5d3125534dc68f6c6607f609b82cc109ce754565dc7d0adee3f6ac3d6869e404
Homepage: https://cran.r-project.org/package=rprev
Description: CRAN Package 'rprev' (Estimating Disease Prevalence from Registry Data)
 Estimates disease prevalence for a given index date using existing registry
 data extended with Monte Carlo simulations following the method of Crouch et
 al (2014) <doi: 10.1016/j.canep.2014.02.005>.

Package: r-cran-rprime
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-plyr, r-cran-stringi, r-cran-stringr
Suggests: r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rprime_0.1.3-1.ca2004.1_all.deb
Size: 72960
MD5sum: f50a87123166ea913f52eebe41fd6a45
SHA1: ed99b5b3016a561bf63b1c44c96de6aa226f99dc
SHA256: ec2aba627ee5660ad253a5c526650a9f32914deee9c883f5a68724e115f74f75
SHA512: e1e5317be83ce023ab32215c7006862fc24c80c76a94c10dc525d9986b3b5bb99b49e3b48636fd380a6772b04274ac22aaa60f85bdeb83db767d7c96ae4f1179
Homepage: https://cran.r-project.org/package=rprime
Description: CRAN Package 'rprime' (Functions for Working with 'Eprime' Text Files)
 'Eprime' is a set of programs for administering psychological experiments by
 computer. This package provides functions for loading, parsing, filtering
 and exporting data in the text files produced by 'Eprime' experiments.

Package: r-cran-rprintf
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rprintf_0.2.1-1.ca2004.1_all.deb
Size: 18584
MD5sum: 39d3a6504dac13ccca00ff0b9e5fec5d
SHA1: 644c9c15fdae06105203ac0da9d8fe8e651accf2
SHA256: f0d6612a73964bdfbae137e961a855f28b387dbace1b3b5819613346f5ed1153
SHA512: 060e255d078eb76c78b4637ace062ab2b3093df49591ab503ab8e4bd93b531a9e18cc6253f0d16fd9797f3efe0e48b8e20f56f539b7e4c743f1a1097170915b4
Homepage: https://cran.r-project.org/package=rprintf
Description: CRAN Package 'rprintf' (Adaptive Builder for Formatted Strings)
 Provides a set of functions to facilitate building formatted strings under
 various replacement rules: C-style formatting, variable-based formatting,
 and number-based formatting. C-style formatting is basically identical to
 built-in function 'sprintf'. Variable-based formatting allows users to put
 variable names in a formatted string which will be replaced by variable
 values. Number-based formatting allows users to use index numbers to
 represent the corresponding argument value to appear in the string.

Package: r-cran-rprobsup
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rprobsup_3.0-1.ca2004.1_all.deb
Size: 95756
MD5sum: 08daa86b40037bf3000d110fc95a614a
SHA1: 3bde7d1516865a96616cb60b8843f94dcf8d5189
SHA256: e940a8ce0532eedd0f5166573b572d65c5f58769b3447438b25479ed4d99f6a5
SHA512: 74f8ad37ccaafcb8850e64edad2f9058948d4aecf4f599adcdfec231a277c06e25e77ef6db84682f17ea5934792d1096859db88a9ea9d49443c9f3d1f5e1d77d
Homepage: https://cran.r-project.org/package=RProbSup
Description: CRAN Package 'RProbSup' (Calculates Probability of Superiority)
 The A() function calculates the A statistic, a nonparametric measure of
 effect size for two independent groups that’s also known as the probability
 of superiority (Ruscio, 2008), along with its standard error and a
 confidence interval constructed using bootstrap methods (Ruscio & Mullen,
 2012). Optional arguments can be specified to calculate variants of the A
 statistic developed for other research designs (e.g., related samples, more
 than two independent groups or related samples; Ruscio & Gera, 2013).  <DOI:
 10.1037/1082-989X.13.1.19>.  <DOI: 10.1080/00273171.2012.658329>.  <DOI:
 10.1080/00273171.2012.738184>.

Package: r-cran-rprofet
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 741
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-binr, r-cran-clustofvar, r-cran-ggplot2, r-cran-gridextra, r-cran-plyr, r-cran-sqldf, r-cran-stringr, r-cran-dplyr, r-cran-corrplot, r-cran-kableextra, r-cran-purrr, r-cran-reshape2, r-cran-rocit
Suggests: r-cran-islr, r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rprofet_3.1.1-1.ca2004.1_all.deb
Size: 339392
MD5sum: fee3cea056de2fda664bd0e67abe7ab3
SHA1: faca6acf6a44e2c608e222a3ec039099dfca6260
SHA256: 5a79857998f1720edec450f99bc83f8005a4aad79bb47840eb4b9aea7941b8f1
SHA512: 4b323b090a4ff47a4519aa3cebbf46e68e7d977998596c393ba10d6fc6d3e8738233e0f5f0965192683ce66c728eefafcf4afc5387612f6530b9380f3c1ef879
Homepage: https://cran.r-project.org/package=Rprofet
Description: CRAN Package 'Rprofet' (WOE Transformation and Scorecard Builder)
 Performs all steps in the credit scoring process. This package allows the
 user to follow all the necessary steps for building an effective scorecard.
 It provides the user functions for coarse binning of variables, Weights of
 Evidence (WOE) transformation, variable clustering, custom binning,
 visualization, and scaling of logistic regression coefficients. The results
 will generate a scorecard that can be used as an effective credit scoring
 tool to evaluate risk. For complete details on the credit scoring process,
 see Siddiqi (2005, ISBN:047175451X).

Package: r-cran-rprofile
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rprofile_0.4.0-1.ca2004.1_all.deb
Size: 22288
MD5sum: 4b1db75f2037d5b4c3eff779dad2c52f
SHA1: ee7fe72171d24012856cce39ce4895da837f1d56
SHA256: 823e37bd9ee7e79d303d214a0dd110ab016d30a3cb02ce691936c11c6d17d5a3
SHA512: fafcb5803faf95dd9d432ebe3bd628090f6df42ec2904cb807890ecb2706ef769f0dc55dd669457995a3cd6610d66bbee0c49265e6639279e198298e5dc9dc7f
Homepage: https://cran.r-project.org/package=rprofile
Description: CRAN Package 'rprofile' (Load Both User-Global and Project-Specific R ProfileConfigurations)
 Use rprofile::load() inside a project '.Rprofile' file to ensure that the
 user-global '.Rprofile' is loaded correctly regardless of its location, and
 other common resources (in particular 'renv') are also set up correctly.

Package: r-cran-rprojroot
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-lifecycle, r-cran-mockr, r-cran-rlang, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rprojroot_2.0.4-1.ca2004.1_all.deb
Size: 100644
MD5sum: 6c89b46cf7ff9ad03f62222640ab80a3
SHA1: ad0040dafe078a71c6eb28f6af8de97d1f1a5ee2
SHA256: 65fa26f4b2c300ca1331cb920d76a7ecbc72142adb131d37b500a131c0af67db
SHA512: 46e92ebe68a6482038bd763e2425b95a927014c5c35641f99acb25831b585cb4fef76592bd306fcca4d8427f60067a8ae60147ff5686e7033013a296376d4ec5
Homepage: https://cran.r-project.org/package=rprojroot
Description: CRAN Package 'rprojroot' (Finding Files in Project Subdirectories)
 Robust, reliable and flexible paths to files below a project root. The
 'root' of a project is defined as a directory that matches a certain
 criterion, e.g., it contains a certain regular file.

Package: r-cran-rprojtree
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rjson, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rprojtree_1.0.0-1.ca2004.1_all.deb
Size: 35144
MD5sum: d6c4ecf8f84ea4e5b899a4212cc2454f
SHA1: 87b175b2eec72f2b4eb9ac34669920ad694ce85b
SHA256: fb9d2aa5f0f8400c681490153b1a366d806b68b074cd27ea6d66748392b16af9
SHA512: 33a1e789476524d3652705b6cb980d19263acd8748dfabdfadea5b4c0688ed391d76b5b88bd42207e3182f1d95628f36baf6d3a6832b9194edd9fb96b3cd4fd9
Homepage: https://cran.r-project.org/package=rprojtree
Description: CRAN Package 'rprojtree' (Create Folders and Files Structure for Data Science Projects)
 Use JSON templates to create folders and files structure for data science
 projects. Includes customized templates and accepts your own as JSON files.

Package: r-cran-rps
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geomorph, r-cran-mass, r-cran-igraph, r-cran-ape, r-cran-matlab, r-cran-gmedian
Filename: pool/dists/focal/main/r-cran-rps_1.0.1-1.ca2004.1_all.deb
Size: 80600
MD5sum: 7007886aa57463f0c353bff677800f51
SHA1: 07c6d1d8c5cee1cd1ea4133fed5af83539395974
SHA256: 86b6855914ce636df8f61fbe3910f8d3d988289c651f3b2ce0b46376c4270f05
SHA512: 4921c89f24352f3d16923759b489ac1fb468e96f5027eafb6a21bc26a7dba5715ace0a6af8c24e4e70a8d8c010d57afbe2052193a97b768051045fcda884074e
Homepage: https://cran.r-project.org/package=RPS
Description: CRAN Package 'RPS' (Resistant Procrustes Superimposition)
 Based on RPS tools, a rather complete resistant shape analysis of 2D and 3D
 datasets based on landmarks can be performed. In addition, landmark-based
 resistant shape analysis of individual asymmetry in 2D for matching or
 object symmetric structures is also possible.

Package: r-cran-rpscoring
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rpscoring_0.1.0-1.ca2004.1_all.deb
Size: 20976
MD5sum: 9684fedf350b60139c634f8a2788821b
SHA1: 614768b41c3517cb44468d993aac9da2d5734f12
SHA256: fd51c8541f008b3a43498f0f37ebbf741a40be679e17940549b2b28d21a7bafd
SHA512: 3df1720f57ecb7d7ff52538bc5303cb616ceee1cf6c6e148b6937cb80116c9123ea69244fac014ff619de784346d99fd511239b44dc80967f0db042e5e96e314
Homepage: https://cran.r-project.org/package=RPscoring
Description: CRAN Package 'RPscoring' (Relative Placement Algorithm)
 Implementation of the relative placement algorithm widely used in the
 scoring of Lindy Hop and West Coast Swing dance contests.

Package: r-cran-rpsftm
Architecture: all
Version: 1.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tableone, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpsftm_1.2.9-1.ca2004.1_all.deb
Size: 137852
MD5sum: 25de0d3a597c50166cce5964460d0184
SHA1: ecbdac067499754dddc39ea4986523af771710f1
SHA256: 7484bc5a357bfe43357a32c21926a8e10d44cf8f0be77e20c86ecb8d969b94d1
SHA512: a658e032d402414217ec4b8b65dd978cb9457ff573e63ffbb20bc29610f3fcf4066425569f9f7739c2cec5f0b9e56950d2972e576d71f2a9129dbfd9e6de9332
Homepage: https://cran.r-project.org/package=rpsftm
Description: CRAN Package 'rpsftm' (Rank Preserving Structural Failure Time Models)
 Implements methods described by the paper Robins and Tsiatis (1991)
 <DOI:10.1080/03610929108830654>. These use g-estimation to estimate the
 causal effect of a treatment in a two-armed randomised control trial where
 non-compliance exists and is measured, under an assumption of an accelerated
 failure time model and no unmeasured confounders.

Package: r-cran-rptr
Architecture: all
Version: 0.9.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1011
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rptr_0.9.23-1.ca2004.1_all.deb
Size: 641672
MD5sum: de3b625a97bca4e5d6baa60b35fcd5ef
SHA1: e9c6a6327750190ca090bc71c3253b2f5a3ba75f
SHA256: 538f9f1d9b698d154f7e0b4f201b225bdef65e6f347395e862a133064a40f950
SHA512: 817b9a2b05686f2e415f568df921c624aeb908219bb8767306fb604de44e29758dca4b4d830c9e2819c0b0abe5b93d1ce79f61a7670f91068112174e3bf7efe2
Homepage: https://cran.r-project.org/package=rptR
Description: CRAN Package 'rptR' (Repeatability Estimation for Gaussian and Non-Gaussian Data)
 Estimating repeatability (intra-class correlation) from Gaussian, binary,
 proportion and Poisson data.

Package: r-cran-rpublica
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-rpublica_0.1.3-1.ca2004.1_all.deb
Size: 27272
MD5sum: 503c2fa8a3aac9515150b25bc26433f3
SHA1: d5c2e3e53ec2edd0e9dd166fa54fb084e895e743
SHA256: cb35c3fb5623ab007e83cfd9448f8748c2225158e1999f1a8eb472c23f648b72
SHA512: 2b7e3f109cc70eb519260a5dc4c6e2b7bb4371ab4d7d9eb5e89b76387425c14b2698276d8629eb1f163b6d01ad0e3946782dc7e984945c134abadca7198d3187
Homepage: https://cran.r-project.org/package=RPublica
Description: CRAN Package 'RPublica' (ProPublica API Client)
 Client for accessing data journalism APIs from ProPublica
 <http://www.propublica.org/>.

Package: r-cran-rpubs
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpubs_0.2.2-1.ca2004.1_all.deb
Size: 14328
MD5sum: a25a536702980b3b8ba86dcc1c316323
SHA1: 636f85098d48b79a7cabd349d287a54ca06d39ad
SHA256: 71237d2d7128e470d78e0d4c23b5897526385666c5addee973c5a4608d881286
SHA512: ac9a04ff77fb2e8fbf35bd6c2a7e777f6b0313003a81326b345b726a5a8d5f3ddda4296452d319977fbf87ec30bcd06de9c6af03c60910b3691d78430f61e60c
Homepage: https://cran.r-project.org/package=rpubs
Description: CRAN Package 'rpubs' (Extract Code Block from Rpubs Article)
 Extract code only or with the output from an Rpubs <https://rpubs.com/>
 article and write the code-block to R script file.

Package: r-cran-rpushbullet
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-curl
Filename: pool/dists/focal/main/r-cran-rpushbullet_0.3.4-1.ca2004.1_all.deb
Size: 60996
MD5sum: ac0d899ae77ac61148a239a3afc66d9c
SHA1: db382e4b1233d93cfa66f7b27455a133415e4f52
SHA256: ac8aeb5ee016be01fbc537e593f717d0c6a2958e0e2eba1ccfd330c6701145e0
SHA512: 380fd039090aafa71cf3cf8a0593010dd4dba35a7c31e66126fec3e8780239dc545811b5f608f9eef23224ac569ba0ae9d652c74d92c148adfec52f8a14bcac2
Homepage: https://cran.r-project.org/package=RPushbullet
Description: CRAN Package 'RPushbullet' (R Interface to the Pushbullet Messaging Service)
 An R interface to the Pushbullet messaging service which provides fast and
 efficient notifications (and file transfer) between computers, phones and
 tablets.  An account has to be registered at the site
 <https://www.pushbullet.com> site to obtain a (free) API key.

Package: r-cran-rpyants
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpymat, r-cran-reticulate, r-cran-rnifti
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rpyants_0.0.4-1.ca2004.1_all.deb
Size: 369076
MD5sum: 9ed425b4d90422100557e7c1e9f396b9
SHA1: babe798429be311ee477c94e7f6ef338273c9929
SHA256: e59ccac46d92b43640018abb812fb395a475718c1caf1fa56264cf581dcac788
SHA512: 3421814e429dc24c2aca889cd634c1efd67d6c48a5a27086b3751d7a4d45b7d58d73c6876f783f2b72262ea2705ae8db9e9be0cb1cf1c6aa6bdcb988eb3af200
Homepage: https://cran.r-project.org/package=rpyANTs
Description: CRAN Package 'rpyANTs' (An Alternative Advanced Normalization Tools ('ANTs'))
 Provides portable access from 'R' to biomedical image processing toolbox
 'ANTs' by Avants et al. (2009) <doi:10.54294/uvnhin> via seamless
 integration with the 'Python' implementation 'ANTsPy'. Allows biomedical
 images to be processed in 'Python' and analyzed in 'R', and vice versa via
 shared memory. See 'citation("rpyANTs")' for more reference information.

Package: r-cran-rpygeo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-sf, r-cran-raster, r-cran-stringr, r-cran-rmarkdown, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-spdata, r-cran-rstudioapi, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-rpygeo_1.0.0-1.ca2004.1_all.deb
Size: 123072
MD5sum: 16ffff9cb7ba93fc1f996018edd7a7d5
SHA1: b8ec081915ab3fb722d0859155dc03c284647948
SHA256: edf50a916672771bb341c6874cd66f3f43c41e850dd40c5d6a78e11f9b859b83
SHA512: e8b80f431a927a96f691e9267c0e1a414d643ef17d46e49bca47f6a84c94777b085d58e44e1dfad05393894927a733b613013eab55394bc6ad3f71a963cb8f29
Homepage: https://cran.r-project.org/package=RPyGeo
Description: CRAN Package 'RPyGeo' (ArcGIS Geoprocessing via Python)
 Provides access to ArcGIS geoprocessing tools by building an interface
 between R and the ArcPy Python side-package via the reticulate package.

Package: r-cran-rpymat
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reticulate, r-cran-fastmap, r-cran-rappdirs, r-cran-glue, r-cran-irkernel, r-cran-jsonlite, r-cran-rstudioapi
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rpymat_0.1.7-1.ca2004.1_all.deb
Size: 133656
MD5sum: aa663162c317e5b315fb28e4d73e673e
SHA1: a94e64107abb5325084efcf8aaaccc71e82dc381
SHA256: 9cc551bdce5bc39588b2999e36cbecbe54561371951ab8bc0ca145fdbd60be2c
SHA512: 483a983eba2ee4bf841ee31232a7da398abe16a4e7ff65e0a90a543cfaa10c7e3baf7502068f0e2e7a56b6d66d172e9fe2a7936440067cdd5ed2ba57ffbfff32
Homepage: https://cran.r-project.org/package=rpymat
Description: CRAN Package 'rpymat' (Easy to Configure an Isolated 'Python' Environment)
 Aims to create a single isolated 'Miniconda' and 'Python' environment for
 reproducible pipeline scripts.  The package provides utilities to run system
 command within the 'conda' environment, making it easy to install, launch,
 manage, and stop 'Jupyter-lab'.

Package: r-cran-rqcanon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-rqcanon_0.1.0-1.ca2004.1_all.deb
Size: 46452
MD5sum: bf9a222452bbe88b9565b4ad51cdc102
SHA1: 8ee99da451d90372a916287f8e85845d54755cbb
SHA256: 109543ee1e72b092e916602a6ee760679e371d1a80e335be7954ca0e2eb08907
SHA512: a6bb562b8346d2f9b8b886efa4a90a2d74e21265d362cbad07e71c055207f67ca96478682da5368f87fb41ba622d2d6c7885117a02eb96efc17abad4cc763e09
Homepage: https://cran.r-project.org/package=rqcanon
Description: CRAN Package 'rqcanon' (Canonical Quantile Regression)
 A quantile regression method for multivariate data to find linear
 combinations of explanatory and response variables generalizing canonical
 correlation. The package consists of functions, rqcan() for fitting the
 coefficients, and summary.rqcan(), which calls a bootstrap function. For
 details, see the help files for rqcan() and summary.rqcan(), and the
 reference: Portnoy (2022) <doi:10.1016/j.jmva.2022.105071>.

Package: r-cran-rqcc
Architecture: all
Version: 2.22.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1412
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rqcc_2.22.12-1.ca2004.1_all.deb
Size: 1184444
MD5sum: a605bee1d10d961b57fea2c6593cc34c
SHA1: 9cb1b8b468f8ddecde6631ebb0a4dcb4eb033fab
SHA256: 9a8cf1c0ca8c8d078880521698fda6184bb32cef1030a15e65541deb8fc76537
SHA512: 6f3867f95505c5369ee8c505414e582e0981592025cd889a556cec6f5e928f887a382bd108ba6316b5b11fd7c97fa855e92fb8386af8107b2bf5a6619abf42ed
Homepage: https://cran.r-project.org/package=rQCC
Description: CRAN Package 'rQCC' (Robust Quality Control Chart)
 Constructs various robust quality control charts based on the median or
 Hodges-Lehmann estimator (location) and the median absolute deviation (MAD)
 or Shamos estimator (scale). The estimators used for the robust control
 charts are all unbiased with a sample of finite size. For more details, see
 Park, Kim and Wang (2022) <doi:10.1080/03610918.2019.1699114>. In addition,
 using this R package, the conventional quality control charts such as X-bar,
 S, R, p, np, u, c, g, h, and t charts are also easily constructed. This work
 was supported by the National Research Foundation of Korea (NRF) grant
 funded by the Korea government (MSIT) (No. 2022R1A2C1091319).

Package: r-cran-rqdatatable
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wrapr, r-cran-rquery, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dbi, r-cran-rsqlite, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-rqdatatable_1.3.3-1.ca2004.1_all.deb
Size: 139288
MD5sum: ef824c3f4e577fba2e30c90cbf48257c
SHA1: 4cce6710ff3ba898500ca9d92bd91be21d473a25
SHA256: a78455e113502960ab24516cda40dd56620be4c69accba675e6c98ffcccf8e4e
SHA512: 97d7ccb1da47a220fa4a84f9e8fe16d5ad9b09c70735c5951eca6b26dba86c80dcce3ce3cf5dcd304515102e73415044a2b13650c60e2d27c26cacd0877b0339
Homepage: https://cran.r-project.org/package=rqdatatable
Description: CRAN Package 'rqdatatable' ('rquery' for 'data.table')
 Implements the 'rquery' piped Codd-style query algebra using 'data.table'.
 This allows for a high-speed in memory implementation of Codd-style data
 manipulation tools.

Package: r-cran-rqdeltact
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyverse, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr, r-cran-tidyselect, r-cran-coin, r-cran-ctrlgene, r-cran-ggsignif, r-cran-hmisc, r-cran-corrplot, r-cran-ggpmisc, r-cran-proc, r-cran-oddsratio, r-cran-pheatmap, r-cran-ggally
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rqdeltact_1.3.2-1.ca2004.1_all.deb
Size: 2434088
MD5sum: 809dd544f74a4c869b7d9fa932fac661
SHA1: e8a1868b3345d24e46f003806aaedfe558875666
SHA256: c7e9bb7a1f30fa83c00131da85ebf9213100c41e09e6c670c414204bbd5e4cac
SHA512: f3b62d966400514f1997204ff1309a28df83a54298f6011a853db769ea9aeb55ea6d99235b6c6097da183aa3a07be4f6df352906e81da399e433e17f8e3cac33
Homepage: https://cran.r-project.org/package=RQdeltaCT
Description: CRAN Package 'RQdeltaCT' (Relative Quantification of Gene Expression using Delta CtMethods)
 The commonly used methods for relative quantification of gene expression
 levels obtained in real-time PCR (Polymerase Chain Reaction) experiments are
 the delta Ct methods, encompassing 2^-dCt and 2^-ddCt methods, originally
 proposed by Kenneth J. Livak and Thomas D. Schmittgen (2001)
 <doi:10.1006/meth.2001.1262>. The main idea is to normalise gene expression
 values using endogenous control gene, present gene expression levels in
 linear form by using the 2^-(value)^ transformation, and calculate
 differences in gene expression levels between groups of samples (or
 technical replicates of a single sample). The 'RQdeltaCT' package offers
 functions that cover both methods for comparison of either independent
 groups of samples or groups with paired samples, together with importing
 expression datasets, performing multi-step quality control of data, enabling
 numerous data visualisations, enrichment of the standard workflow with
 additional useful analyses (correlation analysis, Receiver Operating
 Characteristic analysis, logistic regression), and conveniently export
 obtained results in table and image formats. The package has been designed
 to be friendly to non-experts in R programming.

Package: r-cran-rqentangle
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-itertools, r-cran-iterators
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-rqentangle_0.1.3-1.ca2004.1_all.deb
Size: 586916
MD5sum: 955e45b259f9258354c156d54de677cb
SHA1: 9296ba7cc16777a48ddb1435d6ad425fd01600c5
SHA256: aa55b4404916b99057fc9e7f6fc5a6464236a479a0b0ba8a7a1a6ebf7e781430
SHA512: b9769a80617068228a1f95dfac5dedd27b4b7c87a41b0461162384f1301df7e2673dacedf9ea1634776eb3178b77ce2f67bc4c77826f6e210f30f6fcb34e4c7b
Homepage: https://cran.r-project.org/package=RQEntangle
Description: CRAN Package 'RQEntangle' (Quantum Entanglement of Bipartite System)
 It computes the Schmidt decomposition of bipartite quantum systems, discrete
 or continuous, and their respective entanglement metrics. See Artur Ekert,
 Peter L. Knight (1995) <doi:10.1119/1.17904> for more details.

Package: r-cran-rqlm
Architecture: all
Version: 2.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-sandwich, r-cran-mice
Filename: pool/dists/focal/main/r-cran-rqlm_2.3-1-1.ca2004.1_all.deb
Size: 104228
MD5sum: 9d354d6906974e9a47dfb7456995c03d
SHA1: 857ac70a4010d04b1dceea6c4b282879e5fc2738
SHA256: 8cd63b835373b102f80766ea5231539784d94117eed0b09d59fe6c71d9b52ec2
SHA512: 0802463bf88b17b0a2e047d8fdae3c084d8b32c1c51783930492d28bc016ae202cf6a0b6cc57051c6d8a2bf30d7dfaeb574fe956b5b81873c177f94ffcd6588e
Homepage: https://cran.r-project.org/package=rqlm
Description: CRAN Package 'rqlm' (Modified Poisson and Least-Squares Regressions for BinaryOutcome and Their Generalizations)
 Modified Poisson and least-squares regression analyses for binary outcomes
 of Zou (2004) <doi:10.1093/aje/kwh090> and Cheung (2007)
 <doi:10.1093/aje/kwm223> have been standard multivariate analysis methods to
 estimate risk ratio and risk difference in clinical and epidemiological
 studies. This R package involves an easy-to-handle function to implement
 these analyses by simple commands. Missing data analysis tools (multiple
 imputation) are also involved. In addition, recent studies have shown the
 ordinary robust variance estimator possibly has serious bias under small or
 moderate sample size situations for these methods. This package also
 provides computational tools to calculate alternative accurate confidence
 intervals (Noma and Gosho (2024) <Forthcoming>).

Package: r-cran-rqsar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-corrplot, r-cran-tibble, r-cran-gridextra, r-cran-rcdk, r-cran-ggplot2, r-cran-caret, r-cran-pls, r-cran-randomforest, r-cran-leaps
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rqsar_1.0.0-1.ca2004.1_all.deb
Size: 144812
MD5sum: a9d0d7cde2596261777dfbac2ab78939
SHA1: fb1ddd71775b62c0d566dac5a9058169fccd970d
SHA256: c2d456fb8c2d8bfaa12292066e617874950dfead68dbd0553cbccf541705e9ce
SHA512: dfe951dfd6fbbe3a2913ca6193e6da8768e429266897093b137ddf98a08096c57af9778310fdc91f711e4150bcea90935efaf13f67058ae32cfbf9b23e278442
Homepage: https://cran.r-project.org/package=rQSAR
Description: CRAN Package 'rQSAR' (QSAR Modeling with Multiple Algorithms: MLR, PLS, and RandomForest)
 Quantitative Structure-Activity Relationship (QSAR) modeling is a valuable
 tool in computational chemistry and drug design, where it aims to predict
 the activity or property of chemical compounds based on their molecular
 structure. In this vignette, we present the 'rQSAR' package, which provides
 functions for variable selection and QSAR modeling using Multiple Linear
 Regression (MLR), Partial Least Squares (PLS), and Random Forest algorithms.

Package: r-cran-rqti
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-xml2, r-cran-yaml, r-cran-rmarkdown, r-cran-servr, r-cran-rstudioapi, r-cran-fs, r-cran-stringr, r-cran-lubridate, r-cran-magrittr, r-cran-httr2, r-cran-curl, r-cran-digest, r-cran-knitr, r-cran-getpass, r-cran-keyring, r-cran-zip, r-cran-kableextra, r-cran-textutils, r-cran-lifecycle
Suggests: r-cran-covr, r-cran-dplyr, r-cran-testthat, r-cran-xml, r-cran-readr, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rqti_1.0.0-1.ca2004.1_all.deb
Size: 1199180
MD5sum: 8b3d8782baa5b691dcf4464395509ab8
SHA1: eb28ee006cb203090572d6cd77b5fdf1f3801720
SHA256: 0c358c0becafadfb7508196c94d21def2b0de55cfef24c91ea334ae8b0e0fb46
SHA512: 4162942d800a2383e715cecd4927dc536345c6c306409b4a5504a62d73194bc85c4575317a92b7aaaf7a9444a326860e6f3185d82de67fcbbb8494c49e7c9645
Homepage: https://cran.r-project.org/package=rqti
Description: CRAN Package 'rqti' (Create Tests According to QTI 2.1 Standard)
 Create tests and tasks compliant with the Question & Test Interoperability
 (QTI) information model version 2.1. Input sources are Rmd/md description
 files or S4-class objects. Output formats include standalone zip or xml
 files. Supports the generation of basic task types (single and multiple
 choice, order, pair association, matching tables, filling gaps and essay)
 and provides a comprehensive set of attributes for customizing tests.

Package: r-cran-rquake
Architecture: all
Version: 2.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpmg, r-cran-rseis, r-cran-geomap, r-cran-mba, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-rquake_2.5-1-1.ca2004.1_all.deb
Size: 314024
MD5sum: 3302030e4ff835c8ea2994ce21b28d2d
SHA1: adced1b89f1721b7f0ea6cf3f88825633f2dc817
SHA256: f6bc2489ee879d778dc460efdd9c4569e8228ab9a758f59e06a986e86c2b2e8d
SHA512: 4ad8d9cc70186eab1c7f164f633dd7da49a88915d0a28b5eeb3e783cf3f33992e130b0ff543eed24a1bf03b102287af2949fa1e477a1217b50b34af0673202cd
Homepage: https://cran.r-project.org/package=Rquake
Description: CRAN Package 'Rquake' (Seismic Hypocenter Determination)
 Non-linear inversion for hypocenter estimation and analysis of seismic data
 collected continuously, or in trigger mode. The functions organize other
 functions from 'RSEIS' and 'GEOmap' to help researchers pick, locate, and
 store hypocenters for detailed seismic investigation. Error ellipsoids and
 station influence are estimated via jackknife analysis. References include
 Iversen, E. S., and J. M. Lees (1996)<doi:10.1785/BSSA0860061853>.

Package: r-cran-rquery
Architecture: all
Version: 1.4.99-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wrapr
Suggests: r-cran-dbi, r-cran-rsqlite, r-cran-rqdatatable, r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-yaml, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-rquery_1.4.99-1.ca2004.1_all.deb
Size: 752340
MD5sum: 1d21646e97bd85fe424663b1fe156866
SHA1: 28b7f874a8604985458897480ab57b88624db28b
SHA256: d3d1dff12e0ad0ca8828ac849922c79420f9884a7d4c3cad25803a743adbb549
SHA512: 006dff92b4b1295e4297cc6920cd30965a2c18de35dc1a3f21e5d35999cce711a18780a24d1f958d4b43ff9c81b8267292f9ff4196ae941324377d9e0f87d831
Homepage: https://cran.r-project.org/package=rquery
Description: CRAN Package 'rquery' (Relational Query Generator for Data Manipulation at Scale)
 A piped query generator based on Edgar F. Codd's relational algebra, and on
 production experience using 'SQL' and 'dplyr' at big data scale.  The design
 represents an attempt to make 'SQL' more teachable by denoting composition
 by a sequential pipeline notation instead of nested queries or functions.
 The implementation delivers reliable high performance data processing on
 large data systems such as 'Spark', databases, and 'data.table'. Package
 features include: data processing trees or pipelines as observable objects
 (able to report both columns produced and columns used), optimized 'SQL'
 generation as an explicit user visible table modeling step, plus explicit
 query reasoning and checking.

Package: r-cran-rquest
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rquest_1.0.5-1.ca2004.1_all.deb
Size: 51448
MD5sum: 1afe288664a6c07fa9ac69bb33893d33
SHA1: 55db925ece27c33bf9cb1567945ad0cbd6c4cc84
SHA256: 5e5d88c5be32135e8ac676c12f1ddacae06f7ef92ebb14fc02b6006c15bbc29c
SHA512: b66c4333affa2682fbfc70b344f4f63b1e5305dffcdaf3a0acc993c599f60122f8eba4095e82bd7718a113ddc4d658c0ab57a2178ff3a25369e0c00629a2bbc4
Homepage: https://cran.r-project.org/package=rquest
Description: CRAN Package 'rquest' (Hypothesis Tests for Quantiles and Quantile-Based Measures)
 Functions to conduct hypothesis tests and derive confidence intervals for
 quantiles, linear combinations of quantiles, ratios of dependent linear
 combinations and differences and ratios of all of the above for comparisons
 between independent samples.  Additionally, quantile-based measures of
 inequality are also considered.

Package: r-cran-rr2
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-phylolm, r-cran-ape, r-cran-matrix, r-cran-nlme, r-cran-phyr
Suggests: r-cran-testthat, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-rr2_1.1.1-1.ca2004.1_all.deb
Size: 115696
MD5sum: cb72f424129a21e6a32706d404ae9028
SHA1: 9589914ee19ebb8509d3e1590942ab7c239d36dd
SHA256: 22fefa808b2a7dde9d43af3991fbc33665945f4eea14c25ceb504cc2ec15a2f1
SHA512: a51e3b7c141227870b0bf48856797cc6335f7b5109d7526b1b2c197b1cf7f497260b29ca82b7ea6e4eca9082382961ec4b0d71ef63d4771c85225add76e074d5
Homepage: https://cran.r-project.org/package=rr2
Description: CRAN Package 'rr2' (R2s for Regression Models)
 Three methods to calculate R2 for models with correlated errors, including
 Phylogenetic GLS, Phylogenetic Logistic Regression, Linear Mixed Models
 (LMMs), and Generalized Linear Mixed Models (GLMMs). See details in Ives
 2018 <doi:10.1093/sysbio/syy060>.

Package: r-cran-rramas
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-diagram
Filename: pool/dists/focal/main/r-cran-rramas_0.1-8-1.ca2004.1_all.deb
Size: 64708
MD5sum: 806c9243afc43de2f0eb062abf91e30e
SHA1: dfdc845e86b8367cf8ae0868c72393dca2e8cca1
SHA256: 8bbf9eedfeefbfdbadcb2b2e6bad872d7cc62c82baf4da499842fbd7fbbd1b9f
SHA512: 2e92dc2c2198d4f30c4ade540ea1489b531b623005993356dfb125bacb63becc7cb1d4526ae66b8635a0bc0df22a08694c6a32c2d8b405f9138905b457528312
Homepage: https://cran.r-project.org/package=Rramas
Description: CRAN Package 'Rramas' (Matrix Population Models)
 Analyzes and predicts from matrix population models (Caswell 2006)
 <doi:10.1002/9781118445112.stat07481>.

Package: r-cran-rrap
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars, r-cran-lassoshooting, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rrap_1.1-1.ca2004.1_all.deb
Size: 28092
MD5sum: 52dba13e7441c3f2a45209c8e101a881
SHA1: ae26bc9bc3013e690defe84c04b44cfc66f4cd66
SHA256: a08545c6b346fa17d311f0eb7123f2cd458524404d77f9b0d43efa2b4073ca7e
SHA512: 09900708886ecbe68cfb68da586425c0413421d36a5936bf1e92b503b1cb7649480553870eaef890fe246c349a4cb2a751e0ad1a1b100b75a325c95b6592af2f
Homepage: https://cran.r-project.org/package=rRAP
Description: CRAN Package 'rRAP' (Real-Time Adaptive Penalization for Streaming Lasso Models)
 An implementation of the Real-time Adaptive Penalization (RAP) algorithm
 through which to iteratively update a regularization parameter in a
 streaming context.

Package: r-cran-rrat
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg
Filename: pool/dists/focal/main/r-cran-rrat_1.0.0-1.ca2004.1_all.deb
Size: 16188
MD5sum: 7cf9c36d64be5a0ba953001afaed72b3
SHA1: 9038e5df0f418d0b347cbe209c3631c88e4471ca
SHA256: 1bde544bd1b8e7e4e7498137afa419c16fe08a2c6bc3b2d46ca8e559c660f4e8
SHA512: 78c79041809bacbf5c9b7f1a1a6a98397575ba33c2cd3a08cb99e93b1a5fd8c2f40fc3a4ea6ada4166e644ade16dbc50492f68dbf5447ae9fa56ebaaa05bb610
Homepage: https://cran.r-project.org/package=rrat
Description: CRAN Package 'rrat' (Robust Regression with Asymmetric Heavy-Tail Noise Distributions)
 Implementation of Robust Regression tailored to deal with Asymmetric noise
 Distribution, which was originally proposed by Takeuchi & Bengio & Kanamori
 (2002) <doi:10.1162/08997660260293300>. In addition, this implementation is
 extended as introducing potential feature regularization by LASSO etc.

Package: r-cran-rrate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 837
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rrate_1.0-1.ca2004.1_all.deb
Size: 821216
MD5sum: 1d9c838eba8eb2bed7871731d24eab1f
SHA1: c7deebd1ba436ebbc4ae82e5692adf71573befbf
SHA256: 6357a99d803be05d62e5a09497723613782266e6de6b6508b63df08e14a7ddb3
SHA512: 08afa7c28e1aa76e7bdc8cbd66aa1c477050ff912a09248f780b105a8f3749678aa824b34da479a758a55274d0ac67b93f44fdab71ceae08907b48652308e814
Homepage: https://cran.r-project.org/package=RRate
Description: CRAN Package 'RRate' (Estimating Replication Rate for Genome-Wide Association Studies)
 Replication Rate (RR) is the probability of replicating a statistically
 significant association in genome-wide association studies. This R-package
 provide the estimation method for replication rate which makes use of the
 summary statistics from the primary study. We can use the estimated RR to
 determine the sample size of the replication study, and to check the
 consistency between the results of the primary study and those of the
 replication study.

Package: r-cran-rraven
Architecture: all
Version: 1.0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5580
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply, r-cran-warbler, r-cran-seewave, r-cran-tuner
Suggests: r-cran-knitr, r-cran-vegan, r-cran-dplyr, r-cran-kableextra, r-cran-rmarkdown, r-cran-naturesounds
Filename: pool/dists/focal/main/r-cran-rraven_1.0.14-1.ca2004.1_all.deb
Size: 2176792
MD5sum: 990cad0beecfc93a68bd4505224450c9
SHA1: 3179b663c11bf13415c152d03082e53c2ea1c1f1
SHA256: 7a8fc999895614fb8c2bc9581330373f1e1f7f414e9ce6d03440423e61656785
SHA512: f599b407182d0514aa15b077aaa1ef40fcebae3b6d11dc93b132dfaca1bd4523b7881b0c28879d6bc75b4584bc53b1a134650e47061e00974e74d06adc61ca05
Homepage: https://cran.r-project.org/package=Rraven
Description: CRAN Package 'Rraven' (Connecting R and 'Raven' Sound Analysis Software)
 A tool to exchange data between R and 'Raven' sound analysis software
 (Cornell Lab of Ornithology). Functions work on data formats compatible with
 the R package 'warbleR'.

Package: r-cran-rrblup
Architecture: all
Version: 4.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rrblup_4.6.3-1.ca2004.1_all.deb
Size: 89268
MD5sum: 6a64ce2518dcfd76c4f6f009c1083065
SHA1: 012a8f027f5085bf952f46b8dac6da0c793e5a2d
SHA256: 4724f84ee717313f22041643230a70de0f20e89bef5898550167b42d5f3d1608
SHA512: 11aff3e2aef5ed5332f89bc75bae991a46f250ec39f40cb2f4817b1a5f8b01128eac8cee05183033de8f9fbc001ccc1b593cae6edf099b6f0f92aed94c167d60
Homepage: https://cran.r-project.org/package=rrBLUP
Description: CRAN Package 'rrBLUP' (Ridge Regression and Other Kernels for Genomic Selection)
 Software for genomic prediction with the RR-BLUP mixed model (Endelman 2011,
 <doi:10.3835/plantgenome2011.08.0024>). One application is to estimate
 marker effects by ridge regression; alternatively, BLUPs can be calculated
 based on an additive relationship matrix or a Gaussian kernel.

Package: r-cran-rrboost
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rpart, r-cran-robstattm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rrboost_0.2-1.ca2004.1_all.deb
Size: 85948
MD5sum: a14c758b635eb3824748f801d6671f9a
SHA1: 3cf98151645dd695071a3bc98dc2b599530c87e3
SHA256: 179737c51deb6efb2d69099c638da93d8e6777eaf5477f651eb7ca29a7708cd0
SHA512: d4d0f865f429ebd0a28ae88494e22e730a5b3f2c3c18ca40ba208979afa4df426f02fa1789ef6fd56692f35e584322f9e14248beb3270fa257137fb24c2e99eb
Homepage: https://cran.r-project.org/package=RRBoost
Description: CRAN Package 'RRBoost' (A Robust Boosting Algorithm)
 An implementation of robust boosting algorithms for regression in R. This
 includes the RRBoost method proposed in the paper "Robust Boosting for
 Regression Problems" (Ju X and Salibian-Barrera M. 2020)
 <doi:10.1016/j.csda.2020.107065>. It also implements previously proposed
 boosting algorithms in the simulation section of the paper: L2Boost,
 LADBoost, MBoost (Friedman, J. H. (2001) <doi:10.1214/aos/1013203451>) and
 Robloss (Lutz et al. (2008) <doi:10.1016/j.csda.2007.11.006>).

Package: r-cran-rrcov3way
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1371
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rrcov, r-cran-robustbase, r-cran-threeway, r-cran-nnls, r-cran-pracma
Suggests: r-cran-ggplot2, r-cran-reshape2, r-cran-xtable, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rrcov3way_0.5-0-1.ca2004.1_all.deb
Size: 1232640
MD5sum: f8337595c2ed26cc3dbfb7500908a7d2
SHA1: 8e092030e7ad74a94f654c0f4292cf41f6c9200c
SHA256: b3bec541cfdeba3383d9d321e5a210aa8cecea1cc147dee54da671cfe2435d7d
SHA512: 04c722294627dba21dbf568e1b1dcfd52f2611140a5d507025360bb4bbf1d106832c2d0d661f94e9e370d01bf96fa56b6822118344eaaebae4de128359bad316
Homepage: https://cran.r-project.org/package=rrcov3way
Description: CRAN Package 'rrcov3way' (Robust Methods for Multiway Data Analysis, Applicable also forCompositional Data)
 Provides methods for multiway data analysis by means of Parafac and Tucker 3
 models. Robust versions (Engelen and Hubert (2011)
 <doi:10.1016/j.aca.2011.04.043>) and versions for compositional data are
 also provided (Gallo (2015) <doi:10.1080/03610926.2013.798664>, Di Palma et
 al. (2018) <doi:10.1080/02664763.2017.1381669>).  Several optimization
 methods alternative to ALS are available (Simonacci and Gallo (2019)
 <doi:10.1016/j.chemolab.2019.103822>, Simonacci and Gallo (2020)
 <doi:10.1007/s00500-019-04320-9>).

Package: r-cran-rrda
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-furrr, r-cran-ggplot2, r-cran-mass, r-cran-reshape2, r-cran-rspectra, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rrda_0.1.1-1.ca2004.1_all.deb
Size: 91904
MD5sum: b9a89fa602c718af156cf1ccd1863e1b
SHA1: d1d73095158f3d86abf1fca8ebf157592f596b7a
SHA256: 9337d4f1fc7c4dc98672450ad24bc6928177aeaf5f0bb1897f8f68c249b168ad
SHA512: b65608417068ef1bf89fa8c3c5e360ef1192d95df307ff7e7f50817a97aa3c064b2e16d04cd478b60ab29e93c2bd8ecc6258503c09274659294e43ffbe639381
Homepage: https://cran.r-project.org/package=rrda
Description: CRAN Package 'rrda' (Ridge Redundancy Analysis for High-Dimensional Omics Data)
 Efficient framework for ridge redundancy analysis (rrda), tailored for
 high-dimensional omics datasets where the number of predictors exceeds the
 number of samples. The method leverages Singular Value Decomposition (SVD)
 to avoid direct inversion of the covariance matrix, enhancing scalability
 and performance. It also introduces a memory-efficient storage strategy for
 coefficient matrices, enabling practical use in large-scale applications.
 The package supports cross-validation for selecting regularization
 parameters and reduced-rank dimensions, making it a robust and flexible tool
 for multivariate analysis in omics research. Please refer to our article
 (Yoshioka et al., 2025) for more details.

Package: r-cran-rrdap
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-rjson, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rrdap_1.0.7-1.ca2004.1_all.deb
Size: 20564
MD5sum: 2f4a1f67976a3951d31b6d0197851386
SHA1: 1c1520e6a968b33412ea076fdb1cfe2ed31748d0
SHA256: 27af1658676ff52eb70fae444c23abeadcf9f0b9b5b18de0c726d7b1925a41a7
SHA512: 7c06445c306f2cd7b5710656722d1f7947f73d348b48097109d793b772c696bc3f5eb0ac19d90330945ac65051b5cd80b2b36ddc0bdd592206f2d6d8f0dfa86a
Homepage: https://cran.r-project.org/package=Rrdap
Description: CRAN Package 'Rrdap' (RDAP Server Querying)
 Queries data from RDAP servers.

Package: r-cran-rredlist
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 796
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-lifecycle, r-cran-cli, r-cran-curl, r-cran-rlang
Suggests: r-cran-spelling, r-cran-testthat, r-cran-vcr, r-cran-knitr, r-cran-rmarkdown, r-cran-webmockr, r-cran-microbenchmark, r-cran-ggplot2, r-cran-dplyr, r-cran-patchwork, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rredlist_1.0.0-1.ca2004.1_all.deb
Size: 478416
MD5sum: 159034880fb165a14cb2e66fad2f2857
SHA1: b413c42fd63d5cb6c060ff37a60b92b610db3c85
SHA256: 757257b209cf2083a355194f003fd005203ae26e1e6eddaea24d80c0e98121f6
SHA512: 809d3c11065903aa2b64faad7bd2d12852eea687460351243f5a99849ad949357253559010be05d08378ac1c8743e82bc51cfc7433407f2e588d5f60c047ccbc
Homepage: https://cran.r-project.org/package=rredlist
Description: CRAN Package 'rredlist' ('IUCN' Red List Client)
 'IUCN' Red List (<https://api.iucnredlist.org/>) client.  The 'IUCN' Red
 List is a global list of threatened and endangered species.  Functions cover
 all of the Red List 'API' routes. An 'API' key is required.

Package: r-cran-rredshiftsql
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rpostgresql
Filename: pool/dists/focal/main/r-cran-rredshiftsql_0.1.2-1.ca2004.1_all.deb
Size: 27652
MD5sum: b92478e050ac873ec8b2464a8b507616
SHA1: 3b21265874dd4a7d5e04cabf84cd8dd8eb22e29c
SHA256: a20d230046589e7c65dc3256304e4436de9fc497764afb20e328a438684180a5
SHA512: dfa827bed1441bd24a7cb70d13ce350010d4bb8319febd8daf0b0eb38ab4035399877c55a06c966571985cc5fa03f24556d4dfdd1fcb8c8c59ba3f3c4602bf98
Homepage: https://cran.r-project.org/package=RRedshiftSQL
Description: CRAN Package 'RRedshiftSQL' (R Interface to the 'Redshift' Database)
 Superclasses 'PostgreSQL' connection to help enable full 'dplyr'
 functionality on 'Redshift'.

Package: r-cran-rrefine
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-readr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rrefine_2.1.0-1.ca2004.1_all.deb
Size: 86568
MD5sum: fb7a1fee28ab7b406757c04fd23a6965
SHA1: b94171ee2466085c661b8598f5b7266cbd30e4a4
SHA256: cfa77ac0af3be8cdee0f3816df8192e670932e6139d5f7ad1641efbc04e85250
SHA512: fcb657fe322ca9e5dac857302d9ad6fe107a7672d26eb7f728858015d1ad77ff227f59572386d37206a1f8c40c34325e58549546a2a38ab497918918523bc2b6
Homepage: https://cran.r-project.org/package=rrefine
Description: CRAN Package 'rrefine' (r Client for OpenRefine API)
 'OpenRefine' (formerly 'Google Refine') is a popular, open source data
 cleaning software. This package enables users to programmatically trigger
 data transfer between R and 'OpenRefine'. Available functionality includes
 project import, export and deletion.

Package: r-cran-rreg
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-directlabels
Suggests: r-cran-data.table, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rreg_0.2.1-1.ca2004.1_all.deb
Size: 55324
MD5sum: 6b5c3f39f099c8a54fc3492eea4f1ff9
SHA1: 3a691e8ebb02ea6b674f6844464f8bbe8dfc1b7e
SHA256: 11d2f9af91bf82f65491fb78734f04e9df8c115e474be37a9f37d1a3902f4044
SHA512: 96c906608acf5ac4123589d23714a98c6c8e18cea8d79f808e68e382237ce4018ca5d0266debbcc63c122039a573070913d178832767f570618fed7f28546389
Homepage: https://cran.r-project.org/package=rreg
Description: CRAN Package 'rreg' (Visualization for Norwegian Health Quality Registries)
 Assists for presentation and visualization of data from the Norwegian Health
 Quality Registries following the standardization based on the requirement
 specified by the National Service for Health Quality Registries. This
 requirement can be accessed from
 (<https://www.kvalitetsregistre.no/resultater-til-publisering-pa-nett>).
 Unfortunately the website is only available in Norwegian.

Package: r-cran-rrepast
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lhs, r-cran-sensitivity, r-cran-ggplot2, r-cran-digest, r-cran-xlsx, r-cran-dosnow, r-cran-rjava, r-cran-gridextra, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-rrepast_0.8.0-1.ca2004.1_all.deb
Size: 287512
MD5sum: e690a20d19116d4784d2ffa726cbc78c
SHA1: ba47327e39eef83c3cbc3ff3ec3c3ec80d70914e
SHA256: 1c1abd504e28388e9aec74d1316e82c065904cd6362608bf87b2f3340c4f479c
SHA512: 8b06e979fde90422a4effba13f96ef81a5273760bb22fcc7f5786427493ad57f6d18bbe9e670ce622b9635f4a95838a608340511a47cca9e2c51653c947b69c7
Homepage: https://cran.r-project.org/package=rrepast
Description: CRAN Package 'rrepast' (Invoke 'Repast Simphony' Simulation Models)
 An R and Repast integration tool for running individual-based (IbM)
 simulation models developed using 'Repast Simphony' Agent-Based framework
 directly from R code supporting multicore execution. This package integrates
 'Repast Simphony' models within R environment, making easier the tasks of
 running and analyzing model output data for automated parameter calibration
 and for carrying out uncertainty and sensitivity analysis using the power of
 R environment.

Package: r-cran-rrepest
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2040
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-dplyr, r-cran-flextable, r-cran-foreach, r-cran-labelled, r-cran-magrittr, r-cran-officer, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rrepest_1.5.4-1.ca2004.1_all.deb
Size: 2002604
MD5sum: 7039093e2f49bf765f2878d180b0bd99
SHA1: f29de13dbc15993477e075fc1def02df8911ba75
SHA256: a10d9114c2b234fd1108ed70d97e7ba0035215d52875f343e11d3f85e2de69ac
SHA512: c0ece78d489c49bcb360b0602be743c3cf4836b5fc3c41542630e9a922e4e726b363e7abc2e72a1e3e8254887b5fc2af09c5af76174025e4b7841f4c64257c72
Homepage: https://cran.r-project.org/package=Rrepest
Description: CRAN Package 'Rrepest' (An Analyzer of International Large Scale Assessments inEducation)
 An easy way to analyze international large-scale assessments and surveys in
 education or any other dataset that includes replicated weights (Balanced
 Repeated Replication (BRR) weights, Jackknife replicate weights,...) while
 also allowing for analysis with multiply imputed variables (plausible
 values). It supports the estimation of univariate statistics (e.g. mean,
 variance, standard deviation, quantiles), frequencies, correlation, linear
 regression and any other model already implemented in R that takes a data
 frame and weights as parameters. It also includes options to prepare the
 results for publication, following the table formatting standards of the
 Organization for Economic Cooperation and Development (OECD).

Package: r-cran-rrgeo
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2906
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-pbapply, r-cran-rphylopars, r-cran-rrphylo, r-cran-dismo, r-cran-gtools, r-cran-terra, r-cran-adehabitatma, r-cran-ecospat, r-cran-foreach, r-cran-doparallel, r-cran-presenceabsence, r-cran-ade4, r-cran-sp, r-cran-sf, r-cran-scales, r-cran-ks, r-cran-leastcostpath, r-cran-dosnow, r-cran-biomod2
Suggests: r-cran-ggplot2, r-cran-cowplot, r-cran-openxlsx, r-cran-curl, r-cran-rnaturalearth, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-knitr, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rrgeo_0.0.3-1.ca2004.1_all.deb
Size: 2361108
MD5sum: bd0297da1a6ee38e8cf364ec80382945
SHA1: 0d879d24cda1a575c7924875df819f625027e192
SHA256: bebd14c16bbf670f4f2c28f730eee62a5915051fb64df31cc13ecdb248cdac71
SHA512: ca1c8814bf53647753075f46882362047d337eadf7c723fb38959d4b032f8b4cf720842689738862f0170ee03f1f901f9bfbc7f5b82aef5e1e67be8572570c9e
Homepage: https://cran.r-project.org/package=RRgeo
Description: CRAN Package 'RRgeo' (Species Distribution Modelling for Rare Species)
 Performs species distribution modeling for rare species with unprecedented
 accuracy (Mondanaro et al., 2023 <doi:10.1111/2041-210X.14066>) and finds
 the area of origin of species and past contact between them taking climatic
 variability in full consideration (Mondanaro et al., 2025
 <doi:10.1111/2041-210X.14478>).

Package: r-cran-rriskdistributions
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mc2d, r-cran-eha, r-cran-msm, r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-rriskdistributions_2.1.2-1.ca2004.1_all.deb
Size: 387028
MD5sum: bb4f5c6016892d7d658559fc7e118996
SHA1: 34f8deead1c01be0fc651e78c88aa264353753a8
SHA256: 8e9c6279126fdf6283a88ba093bffbd66667475ff3cc83a59de94920487894d2
SHA512: 05e9ce908a56c2971411b03f89fb2171db26a7b3fb88a5d3f03c6b5c49ce5fd210e12da9b08130c1a66477e0f969f26794b93c8e80370077187b8c50482e665e
Homepage: https://cran.r-project.org/package=rriskDistributions
Description: CRAN Package 'rriskDistributions' (Fitting Distributions to Given Data or Known Quantiles)
 Collection of functions for fitting distributions to given data or by known
 quantiles. Two main functions fit.perc() and fit.cont() provide users a GUI
 that allows to choose a most appropriate distribution without any knowledge
 of the R syntax. Note, this package is a part of the 'rrisk' project.

Package: r-cran-rrmlrfmc
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rrmlrfmc_0.4.0-1.ca2004.1_all.deb
Size: 70480
MD5sum: cebc7a89147150f77feffb3505eefe31
SHA1: a5e173dddb0eee2f98f3af7f1d541a18ba575776
SHA256: 37e2a683203c9b7ffecd2c2868cceb9e1b2f9c572a52c1bfd391ec606a9ca76e
SHA512: de06c174d532b16df51fdef8c68e434f79112860ebb809e784fe6f075b22c16658f7f2e1b5d9aa6a43c68fb80cebd88a0ce067bad3ffed9ac60375423b603430
Homepage: https://cran.r-project.org/package=RRMLRfMC
Description: CRAN Package 'RRMLRfMC' (Reduced-Rank Multinomial Logistic Regression for Markov Chains)
 Fit the reduced-rank multinomial logistic regression model for Markov chains
 developed by Wang, Abner, Fardo, Schmitt, Jicha, Eldik and Kryscio
 (2021)<doi:10.1002/sim.8923> in R. It combines the ideas of multinomial
 logistic regression in Markov chains and reduced-rank. It is very useful in
 a study where multi-states model is assumed and each transition among the
 states is controlled by a series of covariates. The key advantage is to
 reduce the number of parameters to be estimated. The final coefficients for
 all the covariates and the p-values for the interested covariates will be
 reported. The p-values for the whole coefficient matrix can be calculated by
 two bootstrap methods.

Package: r-cran-rrmorph
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3363
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-morpho, r-cran-rgl, r-cran-rvcg, r-cran-rrphylo
Suggests: r-cran-inflection, r-cran-ddpcr, r-cran-ape, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rrmorph_0.0.1-1.ca2004.1_all.deb
Size: 1708884
MD5sum: 6ec521e8762c7f8e24233404d16acce0
SHA1: c3b2389f0fb3c0bc83ddd335b386c6ae08b6c631
SHA256: 0cd3006df4a7803e4301c8109bae524f375b12b2c04461f63a4c3c59d26ac338
SHA512: b5f49f049076f2126fda6a8a43c3d7c3980cfe992fe9f1d1809fae0c085cd7a360d949ea80e1272173f79f5725d13e4f5197b2c5920bd67ad46f622ca7a0e8d0
Homepage: https://cran.r-project.org/package=RRmorph
Description: CRAN Package 'RRmorph' (3D Morphological Analyses with 'RRphylo')
 Combined with 'RRphylo', this package provides a powerful tool to analyse
 and visualise 3d models (surfaces and meshes) in a phylogenetically explicit
 context (Melchionna et al., 2024 <doi:10.1038/s42003-024-06710-8>).

Package: r-cran-rrna
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rrna_1.2-1.ca2004.1_all.deb
Size: 118544
MD5sum: 959933a527591f4932801db0c8975543
SHA1: f8749ebbee32b478714c1d03f5c5c699183d6db2
SHA256: 51d433749ccaec1bc37c3337e46368ee3e2d5a1dd1daa76065ac8b91ce3d04af
SHA512: f28e4d96814f9f63e1efe666dd6b822cd91c4194b468ee3469fb1f890228ee088906ea9f8c162a6f9869464ca26434d07ed7ab13071ba4cf4d9e882178594727
Homepage: https://cran.r-project.org/package=RRNA
Description: CRAN Package 'RRNA' (Secondary Structure Plotting for RNA)
 Functions for creating and manipulating RNA secondary structure plots.

Package: r-cran-rroad
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 536
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-zoo, r-cran-biwavelet
Filename: pool/dists/focal/main/r-cran-rroad_0.0.5-1.ca2004.1_all.deb
Size: 379832
MD5sum: a6d74d56addd9830b142404301579651
SHA1: d70afd4cf3c2a94e4a9653c0fc796e5f0da78be1
SHA256: 7ac49ba4c6351a6c42e85028333d15c13777c3fa99f19a02c775e0208aac076c
SHA512: 4d84dae40b2dcd03713f3a7008f00b78c25dafef274776e387b71392b2ef27510cee655640234c6c1b0d59bab924922bdf421912e7d5f738cbde494b054d9fba
Homepage: https://cran.r-project.org/package=rroad
Description: CRAN Package 'rroad' (Road Condition Analysis)
 Computation of the International Roughness Index (IRI) given a longitudinal
 road profile. The IRI can be calculated for a single road segment or for a
 sequence of segments with a fixed length (e. g. 100m). For the latter, an
 overlap of the segments can be selected. The IRI and likewise the algorithms
 for its determination are defined in Sayers, Michael W; Gillespie, Thomas D;
 Queiroz, Cesar A.V. 1986. The International Road Roughness Experiment (IRRE)
 : establishing correlation and a calibration standard for measurements.
 World Bank technical paper; no. WTP 45. Washington, DC : The World Bank.
 (ISBN 0-8213-0589-1) available from
 <http://documents.worldbank.org/curated/en/326081468740204115>.

Package: r-cran-rrofex
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-purrr, r-cran-glue, r-cran-websocket, r-cran-later, r-cran-lifecycle
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rrofex_2.0.6-1.ca2004.1_all.deb
Size: 244028
MD5sum: ef86b6a40611d3ded7dc922a7f07f73c
SHA1: f894ac697f4bd078ff62ba39f93b7435c6d3ef6b
SHA256: 5f353a71612ae70575330023b895d00df09597c0b28f0a4332d58bbc07ac2eb6
SHA512: 56e004af5e47a5498af1599257eaafb25b664c5a2afb7d3a23d9d2d22677954718be7355e41257a7f2e1b7682a381f2f0958edb71fb4d4bb503bf608f0e09575
Homepage: https://cran.r-project.org/package=rRofex
Description: CRAN Package 'rRofex' (Interface to 'Matba Rofex' Trading API)
 Execute API calls to the 'Matba Rofex' <https://apihub.primary.com.ar>
 trading platform. Functionality includes accessing account data and current
 holdings, retrieving investment quotes, placing and canceling orders, and
 getting reference data for instruments.

Package: r-cran-rromeo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-isocodes, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-rromeo_0.1.1-1.ca2004.1_all.deb
Size: 167948
MD5sum: 25f4be097bd82ca60d220d42a6c3cd21
SHA1: 5ec4063f098048446fb94776007008e5b1dfe8f0
SHA256: 3a7673d34ecb8af836a13ebbf6d0a38ab3fb2b91d5e4940d4a07b860741879dd
SHA512: f130998e4ac7d01b3e17aa576f8c88c632863b4906c81562869e8f80990ee83e1630b1ef13ba7ea9360b14370907cd380ad9c15c1933042b6ee4ae59ea6b2d3f
Homepage: https://cran.r-project.org/package=rromeo
Description: CRAN Package 'rromeo' (Access Publisher Copyright & Self-Archiving Policies via the'SHERPA/RoMEO' API)
 Fetches information from the 'SHERPA/RoMEO' API
 <http://www.sherpa.ac.uk/romeo/apimanual.php> which indexes policies of
 journal regarding the archival of scientific manuscripts before and/or after
 peer-review as well as formatted manuscripts.

Package: r-cran-rrphylo
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4726
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emmeans, r-cran-ape, r-cran-phytools, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-phangorn, r-cran-rlist, r-cran-scales, r-cran-r.utils, r-cran-cluster, r-cran-rcolorbrewer, r-cran-nlme, r-cran-car, r-cran-smatr, r-cran-picante, r-cran-vegan, r-cran-ddpcr, r-cran-geomorph, r-cran-rmarkdown, r-cran-knitr, r-cran-kableextra, r-cran-plotrix, r-cran-pdftools, r-cran-rgl, r-cran-mvmorph, r-cran-ggplot2, r-cran-qpdf, r-cran-inflection, r-cran-rvcg, r-cran-morpho, r-cran-evolqg, r-cran-manipulate, r-cran-markdown, r-cran-rphylopars, r-cran-phylolm, r-cran-webshot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rrphylo_3.0.0-1.ca2004.1_all.deb
Size: 3266800
MD5sum: 35b68d2238684d756a470f07b90908fe
SHA1: 1cff06f9c8c505db5ab05bfc984185c4abf3414f
SHA256: d3202e09215bdee1d53c65f1ef157b63d381e55af332f191322ad72f96e88c21
SHA512: 1a16d28bae67f2cf2b54d5459338e1ae27d23030e1023f365e35b9dc12dd7d8807f3430226b63e5b9c09f9ba700431dda9e09a7decbaf2b0aab967625a0ccda0
Homepage: https://cran.r-project.org/package=RRphylo
Description: CRAN Package 'RRphylo' (Phylogenetic Ridge Regression Methods for Comparative Studies)
 Functions for phylogenetic analysis (Castiglione et al., 2018
 <doi:10.1111/2041-210X.12954>). The functions perform the estimation of
 phenotypic evolutionary rates, identification of phenotypic evolutionary
 rate shifts, quantification of direction and size of evolutionary change in
 multivariate traits, the computation of ontogenetic shape vectors and test
 for morphological convergence.

Package: r-cran-rrpp
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1827
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-ggplot2, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rrpp_2.1.2-1.ca2004.1_all.deb
Size: 1534688
MD5sum: 55740f7d5b36bff1da9b3a7cd8430e44
SHA1: 8418a6accde9d7f68768b060675cee5c337f9576
SHA256: 2f40fe3233e03dbd28b7084a141c0967b8a9e8c5651bdd1fb3d703cf35d67b08
SHA512: a9592ee452b95c012753be0ce42f6442449b4b8fa4133ea8773619baf7652b0d3a651c042dd3ed888415a44e00e8c1fc8a05a4c162bcf451c61fe63c39a82db3
Homepage: https://cran.r-project.org/package=RRPP
Description: CRAN Package 'RRPP' (Linear Model Evaluation with Randomized Residuals in aPermutation Procedure)
 Linear model calculations are made for many random versions of data.  Using
 residual randomization in a permutation procedure, sums of squares are
 calculated over many permutations to generate empirical probability
 distributions for evaluating model effects.  Additionally, coefficients,
 statistics, fitted values, and residuals generated over many permutations
 can be used for various procedures including pairwise tests, prediction,
 classification, and model comparison.  This package should provide most
 tools one could need for the analysis of high-dimensional data, especially
 in ecology and evolutionary biology, but certainly other fields, as well.

Package: r-cran-rrr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2298
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-mass, r-cran-magrittr, r-cran-dplyr, r-cran-ggplot2, r-cran-plotly, r-cran-ggally
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-rrr_1.0.0-1.ca2004.1_all.deb
Size: 1970280
MD5sum: 15dbfcc552a0617b7d95e01ca41aaf4f
SHA1: e3b2300d30923b90b2a26499356e196f6b7b8bc6
SHA256: fb9d29ca732ae5c154088f5a190cadef5d2983a61731a2d31d6e466a70a1ebd0
SHA512: 38bb6eeb0f7b294e960c9ddd05ab3e8c2c70f93599fc59947a3ad84c39cdfb140dc3f57bb631ab307325e486754414710474d8470530ac7f72247a7d5bbb0b7e
Homepage: https://cran.r-project.org/package=rrr
Description: CRAN Package 'rrr' (Reduced-Rank Regression)
 Reduced-rank regression, diagnostics and graphics.

Package: r-cran-rrreg
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-lme4
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rrreg_0.7.5-1.ca2004.1_all.deb
Size: 877160
MD5sum: a59bf2e5b64c4d97c26c22569b5ca473
SHA1: 3d3a7550ed5cdc34b43bc6211cfd439ce034119e
SHA256: 3e294b236906c6dde28fda74f135478d26642a0128badabea124e4e659b52094
SHA512: 99ed2decae213837ec9ffd7cd46a66e6fb11e8daac48c689c09c93d331d941c790dde34cf922f677c2620e90b6e2f4d3bc60f38824814f4b2526f91c4badb1a8
Homepage: https://cran.r-project.org/package=RRreg
Description: CRAN Package 'RRreg' (Correlation and Regression Analyses for Randomized Response Data)
 Univariate and multivariate methods to analyze randomized response (RR)
 survey designs (e.g., Warner, S. L. (1965). Randomized response: A survey
 technique for eliminating evasive answer bias. Journal of the American
 Statistical Association, 60, 63–69, <doi:10.2307/2283137>).  Besides
 univariate estimates of true proportions, RR variables can be used for
 correlations, as dependent variable in a logistic regression (with or
 without random effects), or as predictors in a linear regression (Heck, D.
 W., & Moshagen, M. (2018). RRreg: An R package for correlation and
 regression analyses of randomized response data. Journal of Statistical
 Software, 85(2), 1–29, <doi:10.18637/jss.v085.i02>). For simulations and the
 estimation of statistical power, RR data can be generated according to
 several models. The implemented methods also allow to test the link between
 continuous covariates and dishonesty in cheating paradigms such as the
 coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017).  The
 statistical analysis of cheating paradigms. Behavior Research Methods, 49,
 724–732, <doi:10.3758/s13428-016-0729-x>).

Package: r-cran-rrrr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrixcalc, r-cran-expm, r-cran-ggplot2, r-cran-magrittr, r-cran-mvtnorm
Suggests: r-cran-lazybar, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rrrr_1.1.1-1.ca2004.1_all.deb
Size: 177156
MD5sum: 730b5f338f3985a680a3f223693a2a1b
SHA1: 9309364fbce3abba9b377b7f8cbeea19bdcfd3c4
SHA256: badc1d829c96a99a21802d3da045e4b7ed157dceaf46ce2b55806057a5ad27ad
SHA512: da453d4c5a9da30a039b1fb172dd0f8affdf6ea6a3540fde3659d7a6eb5df659b0cb073586e83ffce0b01d08576884c6d6a0b2f3292be8525cf725f4785f694f
Homepage: https://cran.r-project.org/package=RRRR
Description: CRAN Package 'RRRR' (Online Robust Reduced-Rank Regression Estimation)
 Methods for estimating online robust reduced-rank regression.  The Gaussian
 maximum likelihood estimation method is described in Johansen, S. (1991)
 <doi:10.2307/2938278>.  The majorisation-minimisation estimation method is
 partly described in Zhao, Z., & Palomar, D. P. (2017)
 <doi:10.1109/GlobalSIP.2017.8309093>.  The description of the generic
 stochastic successive upper-bound minimisation method and the sample average
 approximation can be found in Razaviyayn, M., Sanjabi, M., & Luo, Z. Q.
 (2016) <doi:10.1007/s10107-016-1021-7>.

Package: r-cran-rrscale
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-nloptr, r-cran-abind
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-rrscale_1.0-1.ca2004.1_all.deb
Size: 205208
MD5sum: b352a0507a80ce736b7b3cd8a0851808
SHA1: e589a29f749e7c4576fd425cb349b6a885b7198c
SHA256: 1fe7fa750fd778fd1a36253696c69d2e7c3a897f841037140bbbe4877e994b31
SHA512: b6e36987df8929ceeaf44c93849419a1c4271ed98b8f98d14f6c90a39110d111698fca90f71c5e54e3e068e4674200efdc096a13ba8238a27faae0a8d9f45ab2
Homepage: https://cran.r-project.org/package=rrscale
Description: CRAN Package 'rrscale' (Robust Re-Scaling to Better Recover Latent Effects in Data)
 Non-linear transformations of data to better discover latent effects.
 Applies a sequence of three transformations (1) a Gaussianizing
 transformation, (2) a Z-score transformation, and (3) an outlier removal
 transformation. A publication describing the method has the following
 citation: Gregory J. Hunt, Mark A. Dane, James E. Korkola, Laura M. Heiser &
 Johann A. Gagnon-Bartsch (2020) "Automatic Transformation and Integration to
 Improve Visualization and Discovery of Latent Effects in Imaging Data",
 Journal of Computational and Graphical Statistics,
 <doi:10.1080/10618600.2020.1741379>.

Package: r-cran-rrtable
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3091
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-ggplot2, r-cran-officer, r-cran-purrr, r-cran-flextable, r-cran-rvg, r-cran-magrittr, r-cran-devemf, r-cran-rmarkdown, r-cran-shiny, r-cran-editdata, r-cran-shinywidgets, r-cran-ggpubr, r-cran-rlang, r-cran-readr, r-cran-ztable
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rrtable_0.3.0-1.ca2004.1_all.deb
Size: 2203076
MD5sum: 59403084a7a185904ae0fa9458439955
SHA1: 9805038f63b5e489c66ba326b04800abacf8aee0
SHA256: c3d49efb2cd346dc7c843ffde894b2f746427d2e8fbfa8092e0ee30e414260fb
SHA512: a2216662c2525695c4e77a8acbf139f14e60ee19683de5abde477cbeec538d15be41fb3d262581c951064299db5498c4cc0108fe826f6726c1912e856e985647
Homepage: https://cran.r-project.org/package=rrtable
Description: CRAN Package 'rrtable' (Reproducible Research with a Table of R Codes)
 Makes documents containing plots and tables from a table of R codes.  Can
 make "HTML", "pdf('LaTex')", "docx('MS Word')" and "pptx('MS Powerpoint')"
 documents with or without R code.  In the package, modularized 'shiny' app
 codes are provided. These modules are intended for reuse across
 applications.

Package: r-cran-rrtcs
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 535
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sampling, r-cran-samplingvarest
Suggests: r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rrtcs_0.0.4-1.ca2004.1_all.deb
Size: 470160
MD5sum: 8cc1553c8ad4621dfc87408db1be5dbb
SHA1: 62c753ceba4e4cc30d1617d44f29f8ad25d92f0d
SHA256: c8955d3a02e59257755093d0af3aa9ca1333cc16ba25ca680b9d762cf7b08b1c
SHA512: cde75895a4ab84b7fb7855c332d8790c4dbf5684ba36e4993b48035ff341d4b420090ea328574bcba7ab14a70adb93b4c94b1cee455983f3a23bee12789567a3
Homepage: https://cran.r-project.org/package=RRTCS
Description: CRAN Package 'RRTCS' (Randomized Response Techniques for Complex Surveys)
 Point and interval estimation of linear parameters with data obtained from
 complex surveys (including stratified and clustered samples) when
 randomization techniques are used. The randomized response technique was
 developed to obtain estimates that are more valid when studying sensitive
 topics. Estimators and variances for 14 randomized response methods for
 qualitative variables and 7 randomized response methods for quantitative
 variables are also implemented. In addition, some data sets from surveys
 with these randomization methods are included in the package.

Package: r-cran-rsa
Architecture: all
Version: 0.10.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-ggplot2, r-cran-lattice, r-cran-plyr, r-cran-rcolorbrewer, r-cran-aplpack
Suggests: r-cran-fields, r-cran-rgl, r-cran-qgraph, r-cran-tkrplot, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rsa_0.10.6-1.ca2004.1_all.deb
Size: 404624
MD5sum: 3200aecca0d76157bbfea5414854450e
SHA1: 460e0de8c5a1e3dd97f99604b043d7a0605f4809
SHA256: 837377d76bf3968998c267fd762c0fc5635756f1543405c43823930a11aa32c4
SHA512: bdf7ab9e3ac6729d479ef4df7c53928da50daa3c244a38dd39bc03bd9811916b736cd289e73254f535c019918aa15d2579f669ee5e4f27b1e2050fb6583f3544
Homepage: https://cran.r-project.org/package=RSA
Description: CRAN Package 'RSA' (Response Surface Analysis)
 Advanced response surface analysis. The main function RSA computes and
 compares several nested polynomial regression models (full second- or
 third-order polynomial, shifted and rotated squared difference model, rising
 ridge surfaces, basic squared difference model, asymmetric or
 level-dependent congruence effect models). The package provides plotting
 functions for 3d wireframe surfaces, interactive 3d plots, and contour
 plots.  Calculates many surface parameters (a1 to a5, principal axes,
 stationary point, eigenvalues) and provides standard, robust, or
 bootstrapped standard errors and confidence intervals for them.

Package: r-cran-rsadbe
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rsadbe_1.0-1.ca2004.1_all.deb
Size: 111444
MD5sum: 9f72971aca7d6952ec47af105070f86b
SHA1: 1531d0d4cb742f5be9f179b0842a709f5fc34a85
SHA256: 689c766eba7c14b0c99d43bf252a7dd3dc8744f7517f0c6e6bfb27410fe068d0
SHA512: 9677a921345237ad5a707d08e9d20c549753d860f852a650cc7d6b0ed6f05d6dccabb1d9842d4239c952a56a78d3e8f87ed2348434c9eb4427ca54b1af89cd69
Homepage: https://cran.r-project.org/package=RSADBE
Description: CRAN Package 'RSADBE' (Data related to the book "R Statistical Application Developmentby Example")
 The package contains all the data sets related to the book written by the
 maintainer of the package.

Package: r-cran-rsafe
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dalex, r-cran-dendextend, r-cran-ggplot2, r-cran-ggpubr, r-cran-ingredients, r-cran-sets
Suggests: r-cran-gbm, r-cran-knitr, r-cran-pander, r-cran-randomforest, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rsafe_0.1.4-1.ca2004.1_all.deb
Size: 286544
MD5sum: 809364aa889b496c69f9f844d3dd12a8
SHA1: 71f8a66326bdf4d42f3af33df2df3b267cd42f6e
SHA256: 969de2b67ccfdb738437b93d4006532601fd9ab41ba95b77faed96be957a1589
SHA512: 626ec94b9f8ccc62017454eaec50576194c5aa094a35c2cfa152b958d159a23f4f43095eac84818caa712bf2d887c083c5a8e4bd5fc68cea2b6cb6886fecb63f
Homepage: https://cran.r-project.org/package=rSAFE
Description: CRAN Package 'rSAFE' (Surrogate-Assisted Feature Extraction)
 Provides a model agnostic tool for white-box model trained on features
 extracted from a black-box model. For more information see: Gosiewska et al.
 (2020) <doi:10.1016/j.dss.2021.113556>.

Package: r-cran-rsaga
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2490
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gstat, r-cran-plyr, r-cran-shapefiles, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-gam, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rsaga_1.4.2-1.ca2004.1_all.deb
Size: 2062968
MD5sum: f1520dcfd12f3d138fec0d569f450c08
SHA1: cf424ce845be2974dbe63e5ed774186be5884e58
SHA256: 495914ff763376d29ed21d9894a2b5c7a07b2ff444faec2bdcbcb83417868651
SHA512: 3dd71ac723f0fb471203c072a350e9a30fc0569aa91fe21e996d967fca22f80981da0e5ebb573c9e1335cd9c1cf6abb1f1a2a39be9158ccafcd6a416b5f874f9
Homepage: https://cran.r-project.org/package=RSAGA
Description: CRAN Package 'RSAGA' (SAGA Geoprocessing and Terrain Analysis)
 Provides access to geocomputing and terrain analysis functions of the
 geographical information system (GIS) 'SAGA' (System for Automated
 Geoscientific Analyses) from within R by running the command line version of
 SAGA. This package furthermore provides several R functions for handling
 ASCII grids, including a flexible framework for applying local functions
 (including predict methods of fitted models) and focal functions to multiple
 grids. SAGA GIS is available under GPL-2 / LGPL-2 licences from
 <https://sourceforge.net/projects/saga-gis/>.

Package: r-cran-rsagacmd
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 872
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-sf, r-cran-terra, r-cran-stars, r-cran-foreign, r-cran-stringr, r-cran-rlang, r-cran-tibble, r-cran-processx, r-cran-rvest
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rsagacmd_0.4.3-1.ca2004.1_all.deb
Size: 816408
MD5sum: e52863e940c12e933119657f4ca31ac3
SHA1: 842705dde68939ad6ce973a8b18077fc77e82a76
SHA256: 19162f1be5723d43f618415f018bb9fb63f1ee322717ec522e6eebc3efb9df97
SHA512: 5f0f1aaaa111c2e7d13d4b69af5faf018f48218820f239e5dc149c03e66475446c1e00027c5aac957d84d8cca45b2e18d012fe1cf9404f6efce6accae6647bd0
Homepage: https://cran.r-project.org/package=Rsagacmd
Description: CRAN Package 'Rsagacmd' (Linking R with the Open-Source 'SAGA-GIS' Software)
 Provides an R scripting interface to the open-source 'SAGA-GIS' (System for
 Automated Geoscientific Analyses Geographical Information System) software.
 'Rsagacmd' dynamically generates R functions for every 'SAGA-GIS'
 geoprocessing tool based on the user's currently installed 'SAGA-GIS'
 version. These functions are contained within an S3 object and are accessed
 as a named list of libraries and tools. This structure facilitates an easier
 scripting experience by organizing the large number of 'SAGA-GIS'
 geoprocessing tools (>700) by their respective library.  Interactive
 scripting can fully take advantage of code autocompletion tools (e.g. in
 'RStudio'), allowing for each tools syntax to be quickly recognized.
 Furthermore, the most common types of spatial data (via the 'terra', 'sp',
 and 'sf' packages) along with non-spatial data are automatically passed from
 R to the 'SAGA-GIS' command line tool for geoprocessing operations, and the
 results are loaded as the appropriate R object. Outputs from individual
 'SAGA-GIS' tools can also be chained using pipes from the 'magrittr' and
 'dplyr' packages to combine complex geoprocessing operations together in a
 single statement. 'SAGA-GIS' is available under a GPLv2 / LGPLv2 licence
 from <https://sourceforge.net/projects/saga-gis/> including Windows x86/x64
 and macOS binaries. SAGA-GIS is also included in Debian/Ubuntu default
 software repositories. Rsagacmd has currently been tested on 'SAGA-GIS'
 versions from 2.3.1 to 9.5.1 on Windows, Linux and macOS.

Package: r-cran-rsahmi
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-blit, r-cran-cli, r-cran-rlang, r-bioc-shortread
Filename: pool/dists/focal/main/r-cran-rsahmi_0.0.2-1.ca2004.1_all.deb
Size: 4734908
MD5sum: 897d4683512551bd9962f87699065603
SHA1: ecd52de5f04204b1a57ea1842c169713709c54d3
SHA256: 547cf209140c54f3fd9639a51dac058a1484fadf0567aeb3a1028b1a4e57f0a5
SHA512: 8e0ca91a3a518723a2f450dbe42b185c86951365fed327f2dcd77fa0b4a45659f35b39fd4d8846946cacc3ac599daffab8b0fea0a13ffd17aa6b128905650262
Homepage: https://cran.r-project.org/package=rsahmi
Description: CRAN Package 'rsahmi' (Single-Cell Analysis of Host-Microbiome Interactions)
 A computational resource designed to accurately detect microbial nucleic
 acids while filtering out contaminants and false-positive taxonomic
 assignments from standard transcriptomic sequencing of mammalian tissues.
 For more details, see Ghaddar (2023) <doi:10.1038/s43588-023-00507-1>. This
 implementation leverages the 'polars' package for fast and systematic
 microbial signal recovery and denoising from host tissue genomic sequencing.

Package: r-cran-rsalgaer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-lubridate, r-cran-ggplot2, r-cran-hydrogof, r-cran-cvtools, r-cran-mblm
Filename: pool/dists/focal/main/r-cran-rsalgaer_1.0.0-1.ca2004.1_all.deb
Size: 434288
MD5sum: 622902acdc94d61c16fc2a72dc40b9c0
SHA1: ea360d33bce32d0129545afe0e14f726793b75fb
SHA256: 04b6e5ea2895ab8cd2f403c83155a5872edb9c65234586d50ae66b34a2dc701e
SHA512: 3aaad6a051490ba2fd93097c157ae0a226bc8a6c9dac5812ca0c67f10050d0a0e4ffe4156acfe3b6e8a6ae58cdd853b39c743d3c18a1aa1fdb2299b051afd525
Homepage: https://cran.r-project.org/package=RSAlgaeR
Description: CRAN Package 'RSAlgaeR' (Builds Empirical Remote Sensing Models of Water QualityVariables and Analyzes Long-Term Trends)
 Assists in processing reflectance data, developing empirical models using
 stepwise regression and a generalized linear modeling approach, cross-
 validation, and analysis of trends in water quality conditions (specifically
 chl-a) and climate conditions using the Theil-Sen estimator.

Package: r-cran-rsample
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-furrr, r-cran-generics, r-cran-glue, r-cran-lifecycle, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-slider, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-broom, r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-testthat, r-cran-whisker, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rsample_1.3.0-1.ca2004.1_all.deb
Size: 543016
MD5sum: 6c1bd86e8e0be1867932429741912b1c
SHA1: 4d6dfa38a77d15f1c6ee4ddb18d6e8b549be0619
SHA256: 468a43332630d6b81df72faed86a308d786658247ad07fe12e99e920d35d0347
SHA512: 581f9f68b27b84d6ae1d2fd316c47143180b9c5cc80a5385e5efc3e94dee075a4c161f6bafebd48edb43acfaf42a993f27be5da05ade5c85718d424b2c28897f
Homepage: https://cran.r-project.org/package=rsample
Description: CRAN Package 'rsample' (General Resampling Infrastructure)
 Classes and functions to create and summarize different types of resampling
 objects (e.g. bootstrap, cross-validation).

Package: r-cran-rsampling
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsampling_0.1.1-1.ca2004.1_all.deb
Size: 403132
MD5sum: 87ef561b30219b8adb1b9826c015b730
SHA1: 225d3f0fb01c23e0629926f981d3d1ad5122d6e3
SHA256: 9723ea673f06b57347a656d05b324a1413ed54b64d4f1b85d21178ce67d5fcd2
SHA512: faaf7655296c2c329daa81996ae5e7f21c4a2e55b2e95031e990f6eb9f5086f1f08b54260ae8641cbee17c654c3df1546e0edac1336430b01d020d083952c27e
Homepage: https://cran.r-project.org/package=Rsampling
Description: CRAN Package 'Rsampling' (Ports the Workflow of "Resampling Stats" Add-in to R)
 Resampling Stats (http://www.resample.com) is an add-in for running
 randomization tests in Excel worksheets. The workflow is (1) to define a
 statistic of interest that can be calculated from a data table, (2) to
 randomize rows ad/or columns of a data table to simulate a null hypothesis
 and (3) and to score the value of the statistic from many randomizations.
 The relative frequency distribution of the statistic in the simulations is
 then used to infer the probability of the observed value be generated by the
 null process (probability of Type I error). This package intends to
 translate this logic for R for teaching purposes. Keeping the original
 workflow is favored over performance.

Package: r-cran-rsarules
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arules, r-cran-matrix
Suggests: r-cran-multiord
Filename: pool/dists/focal/main/r-cran-rsarules_1.0-1.ca2004.1_all.deb
Size: 22376
MD5sum: 9149697db0ac6168afad8c62934e25ed
SHA1: c28ea570deaf0da1ab3365678050b9e4e9d916bf
SHA256: 4d1b730f4db6d5e40e3a35116ea314ea0c7d979eaf538958c51ede56371d3237
SHA512: a4c332e5c457ac90ed17c099d723285e9e92560327df20c0bbc509d131c6206d2985c9e1c55db383b01fb91fa977f06b369973806ef652c2bc4434bc63e2e8c0
Homepage: https://cran.r-project.org/package=RSarules
Description: CRAN Package 'RSarules' (Random Sampling Association Rules from a Transaction Dataset)
 Implements the Gibbs sampling algorithm to randomly sample association rules
 with one pre-chosen item as the consequent from a transaction dataset. The
 Gibbs sampling algorithm was proposed in G. Qian, C.R. Rao, X. Sun and Y. Wu
 (2016) <DOI:10.1073/pnas.1604553113>.

Package: r-cran-rsat
Architecture: all
Version: 0.1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3752
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xml, r-cran-curl, r-cran-httr, r-cran-leafem, r-cran-leaflet, r-cran-rjson, r-cran-rvest, r-cran-tmap, r-cran-xml2, r-cran-zip, r-cran-rdpack, r-cran-fields, r-cran-calendr, r-cran-sf, r-cran-stars, r-cran-terra, r-cran-sp, r-cran-raster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsat_0.1.21-1.ca2004.1_all.deb
Size: 2919092
MD5sum: a251ac7068d5fe440d47c8ece4a0a2eb
SHA1: 82e5bdbf096a4f78aa7829e7056a25f53b4222f7
SHA256: a933f97d4868e3d93e5a7bc5b061db5041fadfd4c4e1dcdb44f1f486fc44ce1b
SHA512: a08e3e0e3a179fcb6d6d3647cfc84c07fad5a0fbf66832ee466a8f5eb44df88ffff874daed73741dda84e1fdb70a1dfc3d394075b2d8527897863269e7400bd4
Homepage: https://cran.r-project.org/package=rsat
Description: CRAN Package 'rsat' (Dealing with Multiplatform Satellite Images)
 Downloading, customizing, and processing time series of satellite images for
 a region of interest. 'rsat' functions allow a unified access to
 multispectral images from Landsat, MODIS and Sentinel repositories. 'rsat'
 also offers capabilities for customizing satellite images, such as tile
 mosaicking, image cropping and new variables computation. Finally, 'rsat'
 covers the processing, including cloud masking, compositing and
 gap-filling/smoothing time series of images (Militino et al., 2018
 <doi:10.3390/rs10030398> and Militino et al., 2019
 <doi:10.1109/TGRS.2019.2904193>).

Package: r-cran-rsatools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4540
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-semtools, r-cran-rsa, r-cran-ggplot2, r-cran-lattice, r-cran-plyr, r-cran-rcolorbrewer, r-cran-aplpack
Suggests: r-cran-fields, r-cran-rgl, r-cran-qgraph, r-cran-tkrplot, r-cran-testthat, r-cran-covr, r-cran-psych, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-rsatools_0.1.1-1.ca2004.1_all.deb
Size: 4044932
MD5sum: b0b08ca09d50e2b916ce49bb8f58a494
SHA1: 1c3a7fb9862e91addda332e3c1dc845a6707b134
SHA256: 19db9f2f3dcd3218c94d7eed541fe3e4995aedd297fd6fcaffaa8b16932cc90b
SHA512: 57d309fd2477e45d50581698df82df80b8ac9a058305d3428ca4b2d0212b6d998b2b0291df2fb173441c42f58d48850c4967887e8086595fc566683b19d492ea
Homepage: https://cran.r-project.org/package=RSAtools
Description: CRAN Package 'RSAtools' (Advanced Response Surface Analysis)
 Provides tools for response surface analysis, using a comparative framework
 that identifies best-fitting solutions across 37 families of polynomials.
 Many of these tools are based upon and extend the 'RSA' package, by testing
 a larger scope of polynomials (+27 families), more diverse response surface
 probing techniques (+acceleration points), more plots (+line of congruence,
 +line of incongruence, both with extrema), and other useful functions for
 exporting results.

Package: r-cran-rsatscan
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreign
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rsatscan_1.0.9-1.ca2004.1_all.deb
Size: 132100
MD5sum: 63c9fdce4666c5629a540702db319533
SHA1: 7082dc06d745d7d6642dfc3ed024df928828d361
SHA256: c312c0fcdb11b3c19766986b420e5b61ef710727af10ba5ea39400f6775c8bb7
SHA512: 783a3ef9e6632f4b834ae0dfa7cd84141b2a788c2c7104fdbf4db02c34a6c0367ee986f889af5e8c2aa85f5a4a76ad6503df1d3ea909efaf65fbeba79519a50f
Homepage: https://cran.r-project.org/package=rsatscan
Description: CRAN Package 'rsatscan' (Tools, Classes, and Methods for Interfacing with 'SaTScan'Stand-Alone Software)
 'SaTScan'(TM) <https://www.satscan.org> is software for finding regions in
 Time, Space, or Time-Space that have excess risk, based on scan statistics,
 and uses Monte Carlo hypothesis testing to generate P-values for these
 regions.  The 'rsatscan' package provides functions for writing R data
 frames in 'SaTScan'-readable formats, for setting 'SaTScan' parameters, for
 running 'SaTScan' in the OS, and for reading the files that 'SaTScan'
 creates.

Package: r-cran-rsaucelabs
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-whisker, r-cran-data.table
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsaucelabs_0.1.6-1.ca2004.1_all.deb
Size: 111232
MD5sum: dbd975decde4c1c8be6a53d2b603c093
SHA1: 9a6075f750fc6f7f3607fbcf0afe7c74463f1c4c
SHA256: 3b1f548a8e9c2d20547272ba0d5be11701bf9aefae9d2c7f73ea2eb95d0f78df
SHA512: c579b3a211c1ba5a8799f95aad17769bc11415a922d2b5c5d07a90436d4402304501eac56488e2846f1b2c2ecd0f281c6623277a8e5af8fe5a993d99218f40ba
Homepage: https://cran.r-project.org/package=RSauceLabs
Description: CRAN Package 'RSauceLabs' (R Wrapper for 'SauceLabs' REST API)
 Retrieve, update, delete job information from <https://saucelabs.com/>. Poll
 the 'SauceLabs' services current status and access supported platforms. Send
 and retrieve files from 'SauceLabs' and manage tunnels associated with
 'SauceConnect'.

Package: r-cran-rsbjson
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rsbjson_1.1.2-1.ca2004.1_all.deb
Size: 11844
MD5sum: 9a8c9197facacb6f97e0b2946d96f740
SHA1: e7f98c40fb005e2e5eecb8b4d36993179f98ca92
SHA256: bb8bad7b758c7bb39826eeb1e1224683cecbf18c5c34b46500ad94e61888fd3c
SHA512: ba540bed9fc3df2b16c9b8facb196e03cc2b1ca4789cd1c91014f3f4efb7b3fbe98aba4ba0ee675f2018b57e7b969f6d4c5ad722fd0d02c8a70edb9adb0b2f60
Homepage: https://cran.r-project.org/package=RSBJson
Description: CRAN Package 'RSBJson' (Handle R Requests from R Service Bus Applications with JSONPayloads)
 Package to Handle R Requests from R Service Bus Applications with JSON
 Payloads in a generic way.  The incoming request is encoded as a string
 (character vector of length one) containing the JSON file passed through by
 the client.

Package: r-cran-rsbp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-xml2, r-cran-reshape2, r-cran-lubridate, r-cran-tidyr, r-cran-purrr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rsbp_0.1.0-1.ca2004.1_all.deb
Size: 11640
MD5sum: ccfbaa0272df6a1e612b34f6dd4d2cf0
SHA1: 18925021ebf6352b67a450f4cbbbe18fb7643b09
SHA256: 2f66651b4122f6a447d7c0da85f085a5f3b323d6fb1d9e12be9e3d734e7621e0
SHA512: b303b282274536073d141e712a5fac711414e9856653943e8392a82f539af448a0f145508efdd145da3d22670c2804da0e951654302733a196bf83e76e75b5de
Homepage: https://cran.r-project.org/package=rsbp
Description: CRAN Package 'rsbp' (Part Information from the Registry of Standard Biological Parts)
 Provides an R interface to the Registry of Standard Biological Parts API
 maintained by the iGEM Foundation: <https://igem.org/Main_Page>. Facilitates
 retrieval of the part number, authorship, date of entry, url, short
 description, type, and sequence following the guidelines set forth at
 <http://parts.igem.org/Registry_API/Guidelines>.  All Registry content falls
 under Creative Commons Attribution-ShareAlike:
 <https://creativecommons.org/licenses/by-sa/4.0/>.

Package: r-cran-rsca
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rsca_3.1-1.ca2004.1_all.deb
Size: 83268
MD5sum: 78076d96a6c638e8dc051855244f936d
SHA1: 3b2a8ec93216703fd3a7607fb45617ecf1352332
SHA256: 44ef147ad58346687acdcdefa4b8264791f52acefdb3a15bc1674640ce01491f
SHA512: f6e51eb040c449cc218fbc2aa71ec141bda064f6eee755f85a0a3ae9e422bbf548d20bcdafc9b072dd55dcf3ca4dc6d7e2be56214a7dad6bba0730358a099323
Homepage: https://cran.r-project.org/package=rSCA
Description: CRAN Package 'rSCA' (An R Package for Stepwise Cluster Analysis)
 A statistical tool for multivariate modeling and clustering using stepwise
 cluster analysis. The modeling output of rSCA is constructed as a cluster
 tree to represent the complicated relationships between multiple dependent
 and independent variables. A free tool (named rSCA Tree Generator) for
 visualizing the cluster tree from rSCA is also released and it can be
 downloaded at <https://rscatree.weebly.com/>.

Package: r-cran-rscala
Architecture: all
Version: 3.2.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1141
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-devtools, r-cran-rstudioapi, r-cran-processx
Filename: pool/dists/focal/main/r-cran-rscala_3.2.25-1.ca2004.1_all.deb
Size: 888568
MD5sum: da217baeb86dd9d80782a88bc59d6e24
SHA1: cf8d1071771afc62020cd272155a4bb11622c234
SHA256: c3d8e3f2231230a5311842305c7e25ae6c5c0dead4060211382070de9fa333c7
SHA512: edaea254041fd1b73f95dd8350e82dda1c4c104d9a7a13cb0f87e8a89cbc19e285f241c8ea69267ceb6f18166ee8a2c0df38f3658ca90e65f5105016549b4f67
Homepage: https://cran.r-project.org/package=rscala
Description: CRAN Package 'rscala' (Bridge Between 'R' and 'Scala' with Callbacks)
 'Scala' <https://www.scala-lang.org/> is embedded in 'R' and callbacks from
 'Scala' to 'R' are available. Support is provided to write 'R' packages that
 access 'Scala'. After installation, please run 'rscala::scalaConfig()'.  The
 vignette provides an update of the original paper
 <doi:10.18637/jss.v092.i04>.

Package: r-cran-rscat
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-metrics, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rscat_1.1.3-1.ca2004.1_all.deb
Size: 277632
MD5sum: 1edfaa3d06561bdc92d728afdc228b46
SHA1: 2b81001744612273f6497cca16905b26db5a0b2f
SHA256: 5484371ad8f3ad5d4b9622c11f13949982eca7959f001bd1fb371b1780822677
SHA512: 6ee7a9d00fac222e5909ea6894cd4d488354cbe380e832bec164d0e6da6a72cd54eecc96ed2d624759189dc64bb681268ea36550da9353021deb47319bb05593
Homepage: https://cran.r-project.org/package=RSCAT
Description: CRAN Package 'RSCAT' (Shadow-Test Approach to Computerized Adaptive Testing)
 As an advanced approach to computerized adaptive testing (CAT), shadow
 testing (van der Linden(2005) <doi:10.1007/0-387-29054-0>) dynamically
 assembles entire shadow tests as a part of selecting items throughout the
 testing process.  Selecting items from shadow tests guarantees the
 compliance of all content constraints defined by the blueprint. 'RSCAT' is
 an R package for the shadow-test approach to CAT. The objective of 'RSCAT'
 is twofold: 1) Enhancing the effectiveness of shadow-test CAT simulation; 2)
 Contributing to the academic and scientific community for CAT research.
 RSCAT is currently designed for dichotomous items based on the
 three-parameter logistic (3PL) model.

Package: r-cran-rscc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-formatr, r-cran-highlight, r-cran-igraph, r-cran-tm
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rscc_0.2.1-1.ca2004.1_all.deb
Size: 617108
MD5sum: 9e351fa0e4dc4e4ba6db04b08f832149
SHA1: 61b62d5bf5b553e39bc983d67b480421f72d9083
SHA256: 80abe19177bc396addb6e1c7333ce1a103a9502eadcec61e386d74936270e5e3
SHA512: 465edc7d3140a7024184b5ac669dd2cc5e22fb0ec721728157e8662943dfea9b687c5291e702d1252d42989b9e019026344b701472eb39d4c90d31e28091ddc6
Homepage: https://cran.r-project.org/package=rscc
Description: CRAN Package 'rscc' (R Source Code Similarity Evaluation by Variable/Function Names)
 Evaluates R source codes by variable and/or functions names. Similar source
 codes should deliver similarity coefficients near one. Since neither the
 frequency nor the order of the used names is considered, a manual inspection
 of the R source code is required to check for similarity. Possible use cases
 include detection of code clones for improving software quality and of
 plagiarism amongst students' assignments.

Package: r-cran-rsconctdply
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-rsconnect, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rsconctdply_0.1.3-1.ca2004.1_all.deb
Size: 11036
MD5sum: 9ec5a53eb644a2a0f0c4ef576a536906
SHA1: 10dfed6a095f023e80db7d01d41445463420dd17
SHA256: 71b0bb68b4e98da7c4baf0fecaf7261cba602f63305c2528f8cbe474eb8c37ef
SHA512: a7e0fb9b8bad70b1285d1bec567e83c669214ef0a64c7e91dc0bd4dec80473f4170d2b375cc62a30d043976c7dcaafb893283de4477e2ce25d1aeee29ee91500
Homepage: https://cran.r-project.org/package=Rsconctdply
Description: CRAN Package 'Rsconctdply' (Deploys Multiple 'Shiny' Apps using Configuration File)
 Provides a tool for mass deployment of shiny apps to 'RStudio Connect' or
 'Shiny Server'. Multiple user accounts and servers can be configured for
 deployment.

Package: r-cran-rsconnect
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1047
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-digest, r-cran-jsonlite, r-cran-lifecycle, r-cran-openssl, r-cran-pki, r-cran-packrat, r-cran-renv, r-cran-rlang, r-cran-rstudioapi, r-cran-snowflakeauth, r-cran-yaml
Suggests: r-bioc-biobase, r-cran-biocmanager, r-cran-foreign, r-cran-knitr, r-cran-mass, r-cran-plumber, r-cran-quarto, r-cran-rcurl, r-cran-reticulate, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-webfakes, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rsconnect_1.5.0-1.ca2004.1_all.deb
Size: 776996
MD5sum: eb656e50d643833c24db2c7a9525a7fd
SHA1: c5632f7b81f4ac34192840ae1f911e7149026641
SHA256: 1c512224ac1802cf8f5e33c2065ffcf7e0f0c97f6243548aceb329909df27acd
SHA512: 9767a767a24fa86c550188c913f3574bffc745aa42327a4f33c1959e3137062e54a0d0b827a7d076f36d4aa762d8d9b29a78196f5e24609dec7bb5c42fab19cc
Homepage: https://cran.r-project.org/package=rsconnect
Description: CRAN Package 'rsconnect' (Deploy Docs, Apps, and APIs to 'Posit Connect', 'shinyapps.io',and 'RPubs')
 Programmatic deployment interface for 'RPubs', 'shinyapps.io', and 'Posit
 Connect'. Supported content types include R Markdown documents, Shiny
 applications, Plumber APIs, plots, and static web content.

Package: r-cran-rscontract
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rscontract_0.1.2-1.ca2004.1_all.deb
Size: 520556
MD5sum: 852e330238cf41d722be3c8a0e526c63
SHA1: 68958efa71763d5eadabfcafde4735c93ce27f4d
SHA256: 5d27d578794f2ec10d2317d2d66dcabb4394bdfd76a7e4f582e77b5ad00cbd41
SHA512: 2e1cd6945776496b6c5fe54bc2705c038423298d6153e7b8b88ac613e55dc7aadae8cfb5ff2c26aba23cb271faa6cd9af92ca7a4a9515ee8c06db83dde59b961
Homepage: https://cran.r-project.org/package=rscontract
Description: CRAN Package 'rscontract' (Generic implementation of the 'RStudio' connections contract)
 Provides a generic implementation of the 'RStudio' connection contract to
 make it easier for database connections, and other type of connections,
 opened via R packages integrate with the connections pane inside the
 'RStudio' interactive development environment (IDE).

Package: r-cran-rscopus
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-plyr, r-cran-tidyr, r-cran-dplyr, r-cran-glue, r-cran-magrittr
Suggests: r-cran-xml2, r-cran-rvest, r-cran-testthat, r-cran-jpeg, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-rscopus_0.8.1-1.ca2004.1_all.deb
Size: 243756
MD5sum: 9c6324bab115591f3ede426645b9a6f0
SHA1: 3814aed9e3a9a4182f924491817370ed0102cc15
SHA256: 453ed6af4a03badf3f8040f04f5abf16cc62cd10de907b00834c87f23be0b3db
SHA512: 8908283712a3e14085da429519b0f56b95c076ddedc2fc3dc7ca4b250c9f56ccb7eb9a3b6e2cee8a17e6e9707eb337949f70650300825e97e152078601a32303
Homepage: https://cran.r-project.org/package=rscopus
Description: CRAN Package 'rscopus' (Scopus Database 'API' Interface)
 Uses Elsevier 'Scopus' API <https://dev.elsevier.com/sc_apis.html> to
 download information about authors and their citations.

Package: r-cran-rscorecard
Architecture: all
Version: 0.32.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lazyeval, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rscorecard_0.32.0-1.ca2004.1_all.deb
Size: 236184
MD5sum: 6db0884756ab50c0d4d394c47778f783
SHA1: 3cd0ae9ee17b42064b0a0e8ea69e512f2769fa2f
SHA256: a1eff26d9dfa45f171d1607e564040503a6d8ec5e07e9153d6d713a304f529ea
SHA512: b00c08351c45ed931f2804c4300a9358f5ce4e55b4204be5dd5a79ab699f6e36ea32c38c24b3d17b660482cf18746aee68ec4f6654a6f722df5c62cce3cc439e
Homepage: https://cran.r-project.org/package=rscorecard
Description: CRAN Package 'rscorecard' (A Method to Download Department of Education College ScorecardData)
 A method to download Department of Education College Scorecard data using
 the public API <https://collegescorecard.ed.gov/data/data-documentation/>.
 It is based on the 'dplyr' model of piped commands to select and filter data
 in a single chained function call.  An API key from the U.S. Department of
 Education is required.

Package: r-cran-rsd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rsd_0.2.0-1.ca2004.1_all.deb
Size: 67384
MD5sum: f87efbc41f9ba076ee5ebef38d2931f8
SHA1: ef7e30f75aa6e14d061c8c3f96bba4995d1558da
SHA256: 6c10a8e2a97070a09dc8cebe4c62150f76f1550e6f1f65fea1e37c905bb0c4a2
SHA512: 40bf03cac7b4334671ab547775fccbaadc4a8f8d3285018f92ed33a39279592fa5d70a5a3cc57dd8fea2a7a74b3529c657e2f0ad1cae6342728ff3bfd852014f
Homepage: https://cran.r-project.org/package=RSD
Description: CRAN Package 'RSD' (Compares Random Distributions using Stochastic Dominance)
 The Stochastic Dominance (SD) is the classical way of comparing two random
 prospects, using their distribution functions. Almost Stochastic Dominance
 (ASD) has also been developed to cover the SD failures due to the extreme
 utility functions. This package focuses on classical and heuristic methods
 for testing the first and second SD and ASD methods given the probability
 mass function (PMF) of the random prospects. The goal is to apply these
 methods easily, efficiently, and effectively on real-world datasets. For
 more details see Hanoch and Levy (1969) <doi:10.2307/2296431>, Leshno and
 Levy (2002) <doi:10.1287/mnsc.48.8.1074.169>, and Tzeng et al. (2012)
 <doi:10.1287/mnsc.1120.1616>.

Package: r-cran-rsda
Architecture: all
Version: 3.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5769
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vctrs, r-cran-dplyr, r-cran-forcats, r-cran-scales, r-cran-stringr, r-cran-rlang, r-cran-purrr, r-cran-magrittr, r-cran-tidyselect, r-cran-tibble, r-cran-rjsonio, r-cran-xml, r-cran-ggplot2, r-cran-ggpolypath, r-cran-reshape, r-cran-glmnet, r-cran-factominer, r-cran-princurve, r-cran-nloptr, r-cran-sqldf, r-cran-randomcolor, r-cran-kknn, r-cran-e1071, r-cran-gbm, r-cran-randomforest, r-cran-rpart, r-cran-neuralnet, r-cran-umap, r-cran-xtable, r-cran-plotly, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsda_3.2.4-1.ca2004.1_all.deb
Size: 2356588
MD5sum: f4b835b32f39cfd560f03379363e2123
SHA1: f17a58a8c8a236d6d59b22e4c149d3bb61510cb6
SHA256: 541ce4b0d4bed7bf78fddba8cdc797c2a838478d51a3efd896112312443d5d73
SHA512: 168399474445235c3b7ebcf4585bb5879f578be70cd0f53fe49a6a40115136183ce8abfcc10cfb1a64d4f2ada8c6e01d0ad6945bf9998f072d50f17f034584c9
Homepage: https://cran.r-project.org/package=RSDA
Description: CRAN Package 'RSDA' (R to Symbolic Data Analysis)
 Symbolic Data Analysis (SDA) was proposed by professor Edwin Diday in 1987,
 the main purpose of SDA is to substitute the set of rows (cases) in the data
 table for a concept (second order statistical unit). This package
 implements, to the symbolic case, certain techniques of automatic
 classification, as well as some linear models.

Package: r-cran-rsdi
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph
Suggests: r-cran-maps, r-cran-ggplot2, r-cran-ggraph, r-cran-ggimage, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsdi_0.2.1-1.ca2004.1_all.deb
Size: 758368
MD5sum: 8ee2c1e9a77352528729d5322132b5ec
SHA1: eaa4eba03efcc047f03ad8e28910163bdcfd5d79
SHA256: dda961ca3538cc979c33414a02df82880e9ce6b834fb2447b07b6edf2b7438f3
SHA512: 8b66353f631d5f80f5246719871f0a747d46d668536c4baba9d7c571f9c606f6aa915b75d6a18ba6528b8ab12230e5e7cc7713cc21ada5b3c93ecf605c99fb06
Homepage: https://cran.r-project.org/package=rSDI
Description: CRAN Package 'rSDI' (Spatial Dispersion Index (SDI) Family of Metrics forSpatial/Geographic Networks)
 Spatial Dispersion Index (SDI) is a generalized measurement index, or rather
 a family of indices to evaluate spatial dispersion of movements/flows in a
 network in a problem neutral way as described in: Gencer (2023)
 <doi:10.1007/s12061-023-09545-8>. This package computes and optionally
 visualizes this index with minimal hassle.

Package: r-cran-rsdk
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat, r-cran-shiny, r-cran-shinywidgets, r-cran-keys
Filename: pool/dists/focal/main/r-cran-rsdk_1.0.1-1.ca2004.1_all.deb
Size: 69992
MD5sum: fc99db693cc595cd3a261f5fad1c55a0
SHA1: 862cc30094ddccf129390a8db3665ace10438bb9
SHA256: d16cbc84427738b9a2ab6c8d25fcf14085fd76b0ed1677ee0e5567b7870be36f
SHA512: 3c5630d4281647641732e8fee2959dbc50f5335776a79a81bd0cce85b83ae3d7669b4c2583f3f6f946fc390a6abe3be7361b70256e58a3318728bc98eb75a914
Homepage: https://cran.r-project.org/package=RSDK
Description: CRAN Package 'RSDK' (Sudoku with R)
 This is a sudoku game package with a shiny application for playing .

Package: r-cran-rsdmx
Architecture: all
Version: 0.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3897
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-xml, r-cran-httr, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rsdmx_0.6-5-1.ca2004.1_all.deb
Size: 577936
MD5sum: 529a63af8e1faa41b755587d9093f708
SHA1: 9899d853cb700188ab5dc9ca1c4d0fefe2dcc92b
SHA256: 8b37b240b79588aebc99259167e3506887286b0fe956526bcfaec4afa778b60e
SHA512: 5f8c3c57c74858715d16070c0aaf8946830006e7159eb0d46039aa0c9e62afd5ab89655c840fa4e16a59bb4f9239ecf69b19a5d77e9e250dd0647b86d9cab91c
Homepage: https://cran.r-project.org/package=rsdmx
Description: CRAN Package 'rsdmx' (Tools for Reading SDMX Data and Metadata)
 Set of classes and methods to read data and metadata documents exchanged
 through the Statistical Data and Metadata Exchange (SDMX) framework,
 currently focusing on the SDMX XML standard format (SDMX-ML).

Package: r-cran-rsdne
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rsdne_1.2.0-1.ca2004.1_all.deb
Size: 62096
MD5sum: 72da77f053c0df1b44abf2b5fcf72189
SHA1: 018308a8bb63a79d3f70492b7ffb38dc560a82a0
SHA256: 652f0a9f8c3a52fb7d02ec634b57dbc1b8f412ac6e21b17af5488633c121eb51
SHA512: f2a4710562221cf939ac75e6e246542295d6533ed0fa800eed93ef57e3d88fc196ae0cf9e1ce1208514f56294bbbea3a8343d8e8243453d8c47c4adc64acec9b
Homepage: https://cran.r-project.org/package=rsdNE
Description: CRAN Package 'rsdNE' (Response Surface Designs with Neighbour Effects (rsdNE))
 Response surface designs with neighbour effects are suitable for
 experimental situations where it is expected that the treatment combination
 administered to one experimental unit may affect the response on neighboring
 units as well as the response on the unit to which it is applied (Dalal et
 al.,2025 <doi: 10.57805/revstat.v23i2.513>).  Integrating these effects in
 the response surface model improves the experiment's precision (Jaggi, S.,
 Sarika and Sharma, V.K. (2010)<doi:10.5555/20103265373>; Verma A., Jaggi S.,
 Varghese, E.,Varghese, C.,Bhowmik, A., Datta, A. and Hemavathi M.
 (2021)<doi: 10.1080/03610918.2021.1890123>).  This package includes sym(),
 asym1(), asym2(), asym3() and asym4() functions that generates response
 surface designs which are rotatable under a polynomial model of a given
 order without interaction term incorporating neighbour effects.

Package: r-cran-rse
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rse_1.3-1.ca2004.1_all.deb
Size: 77052
MD5sum: 3c088bf80512a47957a6b83b8761fa1f
SHA1: b5c5583c5f2e70d1eff596fbefb69ed8156d6ebf
SHA256: 8c79b2e2e44214c58234048ce6e9f7746f90e8ceea5b5088e8f9204beec833da
SHA512: 27e85291850b8aa31fd0f7da341049fba6248ca7509e7cf77f1b829a2430cb3658ce8e499e1f3f7ce5f0deef43e3e833805c7c609bc9c6525c4486382e7d6cf6
Homepage: https://cran.r-project.org/package=RSE
Description: CRAN Package 'RSE' (Number of Newly Discovered Rare Species Estimation)
 A Bayesian-weighted estimator and two unweighted estimators are developed to
 estimate the number of newly found rare species in additional ecological
 samples. Among these methods, the Bayesian-weighted estimator and an
 unweighted (Chao-derived) estimator are of high accuracy and recommended for
 practical applications.  Technical details of the proposed estimators have
 been well described in the following paper: Shen TJ, Chen YH (2018) A
 Bayesian weighted approach to predicting the number of newly discovered rare
 species. Conservation Biology, In press.

Package: r-cran-rsea
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hommel, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsea_2.1.2-1.ca2004.1_all.deb
Size: 54984
MD5sum: 8e9b3f793aa04246e31fd3cdfd695133
SHA1: c2de9ecda23b8f279f1ddfa6ddbdf27373e06d0c
SHA256: 079599563a23ab40fb1542d725d0cb307e6828e7bc5a98cb7066643c7b460245
SHA512: 4fdd85922ffa34af00907562a3cc6229f829f263d016b97e97aa92776918cd34aac1fc62a50a5655e927c6f98f774f8902f80e42e309db6cb982fb5ce648bb45
Homepage: https://cran.r-project.org/package=rSEA
Description: CRAN Package 'rSEA' (Simultaneous Enrichment Analysis)
 SEA performs simultaneous feature-set testing for (gen)omics data. It tests
 the unified null hypothesis and controls the family-wise error rate for all
 possible pathways. The unified null hypothesis is defined as: "The
 proportion of true features in the set is less than or equal to a
 threshold." Family-wise error rate control is provided through use of closed
 testing with Simes test. There are some practical functions to play around
 with the pathways of interest.

Package: r-cran-rseed
Architecture: all
Version: 0.1.60-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 490
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil, r-bioc-rbgl, r-bioc-graph
Suggests: r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-rseed_0.1.60-1.ca2004.1_all.deb
Size: 364992
MD5sum: 9f7de2b44c99302ef4f42763a04c1ef9
SHA1: fc6331c0ffb216c797a1131b6f007c033cc85885
SHA256: 70f42b7f89045932121b855bd18a1e0cb4c7358557580f2f9df3b1ad08ef8c43
SHA512: b949c05a3fcca4591958350d2c6c348de3c1bf65d739ee21a329656ca1afd20a8886bb764cd5d89c06ac11a8bb66bb44a4400db23757a7f80a8451486e5a00cb
Homepage: https://cran.r-project.org/package=RSeed
Description: CRAN Package 'RSeed' (Borenstein Analysis)
 An implementation of the analysis about seed components from Borenstein
 et.al. 2008.

Package: r-cran-rseedcalc
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rseedcalc_1.3-1.ca2004.1_all.deb
Size: 31944
MD5sum: 3d24a10f76dfc095c92f104f34165b4f
SHA1: 3e0981f70434263f629bf50f36d1b571c0e39d6d
SHA256: 83f1a6bd55f7757ff3594fb3b78b30b7826fd80e3b792e637903230d1ce4033c
SHA512: ad1468040008887517657d79903dd06dce370b570d2c111b7e3a631bcd5531c9e3dd50971b4739837f91f5fb27d66f2b0237852540617de4654aac2c74fc1d47
Homepage: https://cran.r-project.org/package=rseedcalc
Description: CRAN Package 'rseedcalc' (Estimating the Proportion of Genetically Modified Seeds inSeedlots via Multinomial Group Testing)
 Estimate the percentage of seeds in a seedlot that contain stacks of
 genetically modified traits.  Estimates are calculated using a multinomial
 group testing model with maximum likelihood estimation of the parameters.

Package: r-cran-rselenium
Architecture: all
Version: 1.7.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-catools, r-cran-httr, r-cran-wdman
Suggests: r-cran-binman, r-cran-xml, r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rselenium_1.7.9-1.ca2004.1_all.deb
Size: 275760
MD5sum: f9e26fd0a49bb2fa535bb610b3c0a5ee
SHA1: c367c1575ac23db4500ae985ce612e15760e3c4f
SHA256: 1e3c9e9bb93008718767c48f55745b6f2cb10ebad193eba65bc7936f347355c7
SHA512: 462a57bce4de200c5ee3b79e8561b1034876b8d299d529f96364d286456843af52a13a8c4444aa66cbe055037abd99ef94781897ca984edab56e278a25044379
Homepage: https://cran.r-project.org/package=RSelenium
Description: CRAN Package 'RSelenium' (R Bindings for 'Selenium WebDriver')
 Provides a set of R bindings for the 'Selenium 2.0 WebDriver' (see
 <https://www.selenium.dev/documentation/> for more information) using the
 'JsonWireProtocol' (see
 <https://github.com/SeleniumHQ/selenium/wiki/JsonWireProtocol> for more
 information). 'Selenium 2.0 WebDriver' allows driving a web browser natively
 as a user would either locally or on a remote machine using the Selenium
 server it marks a leap forward in terms of web browser automation. Selenium
 automates web browsers (commonly referred to as browsers). Using RSelenium
 you can automate browsers locally or remotely.

Package: r-cran-rsem
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-lavaan
Filename: pool/dists/focal/main/r-cran-rsem_0.5.1-1.ca2004.1_all.deb
Size: 133256
MD5sum: 39b057980ddfd8faa21e3fe8613af41c
SHA1: 017adcbe04494f10e4148d43b57479d713e8c756
SHA256: 347d13a6987f74675c599a269cd28215117a8a40945f70deadd4e89b17e996c2
SHA512: cf832b00822e7c9ef22df2e0723313723a8baab22f0274520956fcc57809b172aa08ac8a0551dce6304cdbcbcf75218a943c4901bb4c95c727e45f133b589a4b
Homepage: https://cran.r-project.org/package=rsem
Description: CRAN Package 'rsem' (Robust Structural Equation Modeling with Missing Data andAuxiliary Variables)
 A robust procedure is implemented to estimate means and covariance matrix of
 multiple variables with missing data using Huber weight and then to estimate
 a structural equation model.

Package: r-cran-rsentiment
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-stringr, r-cran-opennlp, r-cran-nlp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsentiment_2.2.2-1.ca2004.1_all.deb
Size: 114016
MD5sum: 9905de1497aebbb153cd51c41eef183d
SHA1: 5f0b0cc02939d65e51dd97be3321b908ba07c960
SHA256: 31952d0aa05ecd8db9269c1e410028a4fef7eac27d327fc7c98773aecbd897b9
SHA512: 64d43129977fe754dbcdb2f72e85d37a591e4ec75c5a812dbd1082e5a8120e1a03addfd029133486d28361cb8bbb92899dfc81f814acf3143ac3f547a0f01193
Homepage: https://cran.r-project.org/package=RSentiment
Description: CRAN Package 'RSentiment' (Analyse Sentiment of English Sentences)
 Analyses sentiment of a sentence in English and assigns score to it. It can
 classify sentences to the following categories of sentiments:- Positive,
 Negative, very Positive, very negative, Neutral. For a vector of sentences,
 it counts the number of sentences in each category of sentiment.In
 calculating the score, negation and various degrees of adjectives are taken
 into consideration. It deals only with English sentences.

Package: r-cran-rsetse
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-rlang, r-cran-igraph, r-cran-purrr, r-cran-tibble, r-cran-minpack.lm, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-ggplot2, r-cran-ggraph, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-rsetse_0.5.0-1.ca2004.1_all.deb
Size: 424228
MD5sum: 61e6fbf4a422780e2447ce43b5080956
SHA1: 81eb9f72b378911fe581d9f227bdd31dc92814f2
SHA256: 4fdf2d51b23c8549a52aea6f9cf319a9391409c81427e284e4602230e5637d81
SHA512: 702ae09c74e466db5276e6c3a20b26d3ae2d029201e88b01fb5c74ba5aa066c046ea0866a822a0b64e8e624fbf3f9de6c7e4e87f7bb9f8d2dca2f797b15fb47f
Homepage: https://cran.r-project.org/package=rsetse
Description: CRAN Package 'rsetse' (Strain Elevation Tension Spring Embedding)
 An R implementation for the Strain Elevation and Tension embedding algorithm
 from Bourne (2020) <doi:10.1007/s41109-020-00329-4>. The package embeds
 graphs and networks using the Strain Elevation and Tension embedding (SETSe)
 algorithm. SETSe represents the network as a physical system, where edges
 are elastic, and nodes exert a force either up or down based on node
 features. SETSe positions the nodes vertically such that the tension in the
 edges of a node is equal and opposite to the force it exerts for all nodes
 in the network. The resultant structure can then be analysed by looking at
 the node elevation and the edge strain and tension. This algorithm works on
 weighted and unweighted networks as well as networks with or without
 explicit node features.  Edge elasticity can be created from existing edge
 weights or kept as a constant.

Package: r-cran-rsf
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bookdown, r-cran-gert, r-cran-here, r-cran-knitr, r-cran-magrittr, r-cran-renv, r-cran-rlang, r-cran-usethis, r-cran-yaml, r-cran-ymlthis
Filename: pool/dists/focal/main/r-cran-rsf_0.3.0-1.ca2004.1_all.deb
Size: 32796
MD5sum: 8866ea21e2d07e2ae45923a383fd65d8
SHA1: 95ce8615d9e3df47190ee9190e58e4753c02c678
SHA256: 138a9424c3d9e5cb3f99d125c3ceaa1170c7a8dbb51b44f917bfcab575284ada
SHA512: 3f5007070c8fcfbfc74c69df685945c5196dbd78fb13ef3cd2daf1da35851bb5675af257a7df9c7557892f66e53d370919f44730dec2c9a7417fec8002f456a9
Homepage: https://cran.r-project.org/package=rsf
Description: CRAN Package 'rsf' (Report of Statistical Findings in 'bookdown')
 A report of statistical findings (RSF) project template is generated using a
 'bookdown' format. 'YAML' fields can be further customized. Additional
 helper functions provide extra features to the RSF.

Package: r-cran-rsfa
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rsfa_1.5-1.ca2004.1_all.deb
Size: 142680
MD5sum: f75e0657a46d6e1a2b50077bd6d22b58
SHA1: 50f0d838f51ddfbc18ab362de57f4b494a9e9685
SHA256: fc078a37f5ee364b58ddf8e57a9766ba5227750f79b2738cd45b51cf3aa08d49
SHA512: c74aec34d71160672c3cb9063cb9aaa5225651822dcd404b48e0ea6fc78cfdb3d24b7e99b8a28a80319f3e545d702b5a1c888b5f6bcff8a431107c4401eacd93
Homepage: https://cran.r-project.org/package=rSFA
Description: CRAN Package 'rSFA' (Slow Feature Analysis)
 Slow Feature Analysis (SFA), ported to R based on 'matlab' implementations
 of SFA: 'SFA toolkit' 1.0 by Pietro Berkes and 'SFA toolkit' 2.8 by Wolfgang
 Konen.

Package: r-cran-rsfar
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda
Filename: pool/dists/focal/main/r-cran-rsfar_0.0.1-1.ca2004.1_all.deb
Size: 28688
MD5sum: f88a36f7a1599f6e330da1d14e215bfe
SHA1: 5d0b959d9ee3b03ede7f611f5fb20b9b5b4d1c00
SHA256: afda5b45036f5f8fab16da839aeee9713045c1a4e76c9714fedc76fcb96bddf2
SHA512: 91e5ec53247042ca39a499be09841f382f338c02312bf498d481542f7275c845e7c26b83e7edf3fdc3851e01667286d7c998b8c1205d362096c7ecc44b93f1bb
Homepage: https://cran.r-project.org/package=Rsfar
Description: CRAN Package 'Rsfar' (Seasonal Functional Autoregressive Models)
 This is a collection of functions designed for simulating, estimating and
 forecasting seasonal functional autoregressive time series of order one.
 These methods are addressed in the manuscript:
 <https://www.monash.edu/business/ebs/research/publications/ebs/wp16-2019.pdf>.

Package: r-cran-rsgf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-png, r-cran-stringi, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rsgf_1.0.0-1.ca2004.1_all.deb
Size: 110576
MD5sum: 3f83e57b130125501ee913ef3971bd29
SHA1: 7fc36a3c6664030ce7c5651b49f8693fff982d0e
SHA256: 65881f1c514739b8901c81d7cc30ff346e9320adf54d52509af362105b12ea72
SHA512: 9421e7961263d43e06ae1e734ef697cb069f2efa4d0362d79df35346b139ef0db75d134797b12e3199d167eed879e0f69893a5817ab6cdf87000d3443e340cf1
Homepage: https://cran.r-project.org/package=Rsgf
Description: CRAN Package 'Rsgf' (SGF (Smart Game File) File Format Import)
 Import SGF (Smart Game File) into R.

Package: r-cran-rshape
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-sn, r-cran-vgam, r-cran-evd, r-cran-rsqlite, r-cran-dbi, r-cran-foreach, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-rshape_0.3.2-1.ca2004.1_all.deb
Size: 330628
MD5sum: 8090140fbc9f730b8e74a6f8011e1223
SHA1: c72a4bed36b8f13f8991600b22ea0ccc7c78eeba
SHA256: 5e1768ff69bece6921749a7c143f68c2f7dd9c7d0ee7668ba91933492887200f
SHA512: c367bf95c6a241cfbc0013a6bd7991e61644eebecf1a435ecb2bed7b393b5787c04b56713dc7b9887a6a03fe408ee26ec15c012a74f70408de2cd2b910c80b50
Homepage: https://cran.r-project.org/package=rSHAPE
Description: CRAN Package 'rSHAPE' (Simulated Haploid Asexual Population Evolution)
 In silico experimental evolution offers a cost-and-time effective means to
 test evolutionary hypotheses.  Existing evolutionary simulation tools focus
 on simulations in a limited experimental framework, and tend to report on
 only the results presumed of interest by the tools designer.  The R-package
 for Simulated Haploid Asexual Population Evolution ('rSHAPE') addresses
 these concerns by implementing a robust simulation framework that outputs
 complete population demographic and genomic information for in silico
 evolving communities.  Allowing more than 60 parameters to be specified,
 'rSHAPE' simulates evolution across discrete time-steps for an evolving
 community of haploid asexual populations with binary state genomes.  These
 settings are for the current state of 'rSHAPE' and future steps will be to
 increase the breadth of evolutionary conditions permitted.  At present, most
 effort was placed into permitting varied growth models to be simulated (such
 as constant size, exponential growth, and logistic growth) as well as
 various fitness landscape models to reflect the evolutionary landscape
 (e.g.: Additive, House of Cards - Stuart Kauffman and Simon Levin (1987)
 <doi:10.1016/S0022-5193(87)80029-2>, NK - Stuart A. Kauffman and Edward D.
 Weinberger (1989) <doi:10.1016/S0022-5193(89)80019-0>, Rough Mount Fuji -
 Neidhart, Johannes and Szendro, Ivan G and Krug, Joachim (2014)
 <doi:10.1534/genetics.114.167668>). This package includes numerous functions
 though users will only need defineSHAPE(), runSHAPE(), shapeExperiment() and
 summariseExperiment().  All other functions are called by these main
 functions and are likely only to be on interest for someone wishing to
 develop 'rSHAPE'.  Simulation results will be stored in files which are
 exported to the directory referenced by the shape_workDir option (defaults
 to tempdir() but do change this by passing a folderpath argument for workDir
 when calling defineSHAPE() if you plan to make use of your results beyond
 your current session).  'rSHAPE' will generate numerous replicate
 simulations for your defined range of experimental parameters.  The
 experiment will be built under the experimental working directory (i.e.:
 referenced by the option shape_workDir set using defineSHAPE() ) where
 individual replicate simulation results will be stored as well as processed
 results which I have made in an effort to facilitate analyses by automating
 collection and processing of the potentially thousands of files which will
 be created. On that note, 'rSHAPE' implements a robust and flexible
 framework with highly detailed output at the cost of computational
 efficiency and potentially requiring significant disk space (generally
 gigabytes but up to tera-bytes for very large simulation efforts).  So,
 while 'rSHAPE' offers a single framework in which we can simulate evolution
 and directly compare the impacts of a wide range of parameters, it is not as
 quick to run as other in silico simulation tools which focus on a single
 scenario with limited output. There you have it, 'rSHAPE' offers you a less
 restrictive in silico evolutionary playground than other tools and I hope
 you enjoy testing your hypotheses.

Package: r-cran-rsi
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1414
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future.apply, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-proceduralnames, r-cran-rlang, r-cran-rstac, r-cran-sf, r-cran-terra, r-cran-tibble
Suggests: r-cran-curl, r-cran-knitr, r-cran-progressr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rsi_0.3.2-1.ca2004.1_all.deb
Size: 1331940
MD5sum: 17e9fcb14c48bee68982829c51fba0a6
SHA1: d9724def8adb496904225fdfbbfebf60a8f4b188
SHA256: dbd61562080c9de2e782222f069836f8bdc9f673ec43e5ea81457e2727530298
SHA512: 0588d6e5d04f10b66007f98e0c281f15082ffd32d2ab22f2bf1016848057630815997c2356b52029366092ddaa7e3adf00f6aece250fb7c8a4cd08fe753e34f1
Homepage: https://cran.r-project.org/package=rsi
Description: CRAN Package 'rsi' (Efficiently Retrieve and Process Satellite Imagery)
 Downloads spatial data from spatiotemporal asset catalogs ('STAC'), computes
 standard spectral indices from the Awesome Spectral Indices project (Montero
 et al. (2023) <doi:10.1038/s41597-023-02096-0>) against raster data, and
 glues the outputs together into predictor bricks.  Methods focus on
 interoperability with the broader spatial ecosystem; function arguments and
 outputs use classes from 'sf' and 'terra', and data downloading functions
 support complex 'CQL2' queries using 'rstac'.

Package: r-cran-rsimmosaic
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-fields, r-cran-rann
Filename: pool/dists/focal/main/r-cran-rsimmosaic_1.0.3-1.ca2004.1_all.deb
Size: 1086224
MD5sum: ef27f6a114a2846cba8ea7029cf73b79
SHA1: c5451374450fac599b875ebad0c26e2fdf278fa7
SHA256: 5fc2935735d90ae97a29876d4c54e4a026ecb08d063c7fb3f7e08d0cbce3ea4d
SHA512: 9e52b796ec994a40631398901e03a19f2a5140df94d26e5f3f8143af715a20abfbc1497fb7b2152714207bb9a6d519633cdd72560308b079f1e7a35b54a2dd3a
Homepage: https://cran.r-project.org/package=RsimMosaic
Description: CRAN Package 'RsimMosaic' (R Simple Image Mosaic Creation Library)
 Provides a way to transform an image into a mosaic composed from a set of
 smaller images (tiles). It also contains a simple function for creating the
 tiles from a folder of images directly through R, without the need of any
 external code. At this moment only the JPEG format is supported, either as
 input (image and tiles) or output (mosaic transformed image).

Package: r-cran-rsimsum
Architecture: all
Version: 0.13.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4556
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-generics, r-cran-ggridges, r-cran-ggplot2, r-cran-knitr, r-cran-lifecycle, r-cran-rlang, r-cran-scales
Suggests: r-cran-covr, r-cran-devtools, r-cran-dplyr, r-cran-eha, r-cran-rmarkdown, r-cran-rstpm2, r-cran-survival, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-rsimsum_0.13.0-1.ca2004.1_all.deb
Size: 3594984
MD5sum: 656afbb46068dc424e94774720f0b587
SHA1: 75079cb37e1fca3ebfec6c170d1e4aa4790906dc
SHA256: 68d84d19268f096c3ef959de9562c5ec5edd9dc522d25c7381b8a77dc1b115cb
SHA512: 777b7b2be9433986afb8970138b679445f61e2618d66441fc781c2f13eae6a3b4d8656bbf9d5794fc27e485e0a5f75be75124e22d00aebc4838932dc20551fed
Homepage: https://cran.r-project.org/package=rsimsum
Description: CRAN Package 'rsimsum' (Analysis of Simulation Studies Including Monte Carlo Error)
 Summarise results from simulation studies and compute Monte Carlo standard
 errors of commonly used summary statistics. This package is modelled on the
 'simsum' user-written command in 'Stata' (White I.R., 2010
 <https://www.stata-journal.com/article.html?article=st0200>), further
 extending it with additional performance measures and functionality.

Package: r-cran-rsinaica
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsinaica_1.1.0-1.ca2004.1_all.deb
Size: 152280
MD5sum: d947084678e5494cb3eefd7bdf277507
SHA1: 475bfb0c12982faf0a253881058910af1e488273
SHA256: 5c2df39e65444da4be6d62e0d3e6b45521240a6909a8f0da7c6df165575b4d3a
SHA512: 78f612bbafc964d6ca4b17825d04a142ca8b4de3f309c52032c11f9ab26f6628edb50366a6a4c019d4e815634308071c3816a91ea1069245e7997b7f8a7c2758
Homepage: https://cran.r-project.org/package=rsinaica
Description: CRAN Package 'rsinaica' (Download Data from Mexico's Air Quality Information System)
 Easy-to-use functions for downloading air quality data from the Mexican
 National Air Quality Information System (SINAICA).  Allows you to query
 pollution and meteorological parameters from more than a hundred monitoring
 stations located throughout Mexico. See <https://sinaica.inecc.gob.mx> for
 more information.

Package: r-cran-rsip
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-rgdal, r-cran-rastervis, r-cran-ncdf4, r-cran-sp
Filename: pool/dists/focal/main/r-cran-rsip_1.0.0-1.ca2004.1_all.deb
Size: 32452
MD5sum: c331586a4f02b8996a3f8277508c1366
SHA1: 1be305d07ca53d2acafec679734be1d86b8aabb8
SHA256: 4c055c05d39de308704836fd33f2d88ae9b5374ad8e4c4a9269148324461cbec
SHA512: 23e3eda3a1d0effd290851ea4008dcef9b52ed84dcde248136d4c8f0697b744af2b0ac0d5cdbdc54284c5ed58088eab23f2d2c363398f851f1f06850fe7fa615
Homepage: https://cran.r-project.org/package=RSIP
Description: CRAN Package 'RSIP' (Remote Sensing and Image Processing)
 Makes operations with raster images, such as map viewing in time series,
 export values in time series for specific, total or limited within a polygon
 locations. Makes data processing of remote sensing of climatic variables
 distributed in the space (maps 2D) and the time (time series).

Package: r-cran-rsitecatalyst
Architecture: all
Version: 1.4.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-plyr, r-cran-base64enc, r-cran-digest, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsitecatalyst_1.4.16-1.ca2004.1_all.deb
Size: 301632
MD5sum: 6c03b04f386a89b5c9b618ecec58c8a9
SHA1: 9028b7335ce62273a9e119b946d8802d5e1469e9
SHA256: e35f181f55cfb020d85ad16292f6cd7b890f843e98b5aff3ce647b0768e2d042
SHA512: d124a9adca5786dfa049739d67eea36da7c4e1f5c569f1db5c3431c33c8a5bc71dc907961294d3121a7c2398cd567e5987292d008fa9a58601d634a82c91dc2b
Homepage: https://cran.r-project.org/package=RSiteCatalyst
Description: CRAN Package 'RSiteCatalyst' (R Client for Adobe Analytics API V1.4)
 Functions for interacting with the Adobe Analytics API V1.4
 (<https://api.omniture.com/admin/1.4/rest/>).

Package: r-cran-rsizebiased
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-rsizebiased_0.1.0-1.ca2004.1_all.deb
Size: 60184
MD5sum: 8fade446ff745e5011d8d54f8e9df275
SHA1: 031b51136e15f12b070959a68d10065d8a8ad819
SHA256: ea5ebca7c5b4d6395275a421bb85f2ebc692aab303279d898b2d3a5f927d95cc
SHA512: 4b10e984d3708a1d4cf93b35afb92a6d3fc8d26ebbe294f10f77b987861e4ad457077019bf7fd89929706c35b6d5e63df82f18b35d8dc784a7b8f5ea0e467313
Homepage: https://cran.r-project.org/package=RSizeBiased
Description: CRAN Package 'RSizeBiased' (Hypothesis Testing Based on R-Size Biased Samples)
 Provides functions and examples for testing hypothesis about the population
 mean and variance on samples drawn by r-size biased sampling schemes.

Package: r-cran-rskey
Architecture: all
Version: 0.4.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-berryfunctions
Suggests: r-cran-knitr, r-cran-pillar
Filename: pool/dists/focal/main/r-cran-rskey_0.4.19-1.ca2004.1_all.deb
Size: 50764
MD5sum: 3a643a2392136ef1201f0c72070367bf
SHA1: 97eb9aa5458326fec777ec0c4e957c216e4bc235
SHA256: c4519c5da2b90bdf3ff21d62ab39bd78855e5f41b2da9eab80f0b4b83b24c121
SHA512: 00860a5b4f78847583e099eb17c2aa8c18f78ca6fef2ba928306e1767f0ad90397aa1331941b700de10a27b14c641cc2044f4294e96e0c3f6ab3a9a805de8fff
Homepage: https://cran.r-project.org/package=rskey
Description: CRAN Package 'rskey' (Create Custom 'Rstudio' Keyboard Shortcuts)
 Create custom keyboard shortcuts to examine code selected in the 'Rstudio'
 editor.  F3 can for example yield 'str(selection)' and F7 open the source
 code of CRAN and base package functions on 'github'.

Package: r-cran-rsleep
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-dplyr, r-cran-edfreader, r-cran-ggplot2, r-cran-jsonlite, r-cran-psd, r-cran-signal, r-cran-xml2, r-cran-readr, r-cran-xts
Suggests: r-cran-caret, r-cran-gridextra, r-cran-keras, r-cran-knitr, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat, r-cran-rsqlite, r-cran-dbi, r-cran-sleepcycles, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rsleep_1.0.12-1.ca2004.1_all.deb
Size: 272392
MD5sum: 93a4bbfd489925d5db094668b63ba4a0
SHA1: 0a84edb6a87bdbcf20ae0a79db9b3143be02b7b1
SHA256: e4f5d6ae320de6ce2834e0055026115e68dc17b6804ac6047eb88c3c44e7f542
SHA512: 51f8c51850c52ea3156e08e72e2a840a41357bd47ded84bc22c56d869152077b89a7272e7d7da03fe4f871636f9cb161b17617773f21f6d01c58db701c7b118a
Homepage: https://cran.r-project.org/package=rsleep
Description: CRAN Package 'rsleep' (Analysis of Sleep Data)
 A toolbox for sleep data processing, visualization and analysis. Tools for
 state of the art automatic sleep stages scoring.

Package: r-cran-rslp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-stringi, r-cran-plyr, r-cran-magrittr, r-cran-tokenizers
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rslp_0.2.0-1.ca2004.1_all.deb
Size: 37924
MD5sum: a7936959c81efe454a2b64322597ca18
SHA1: 41dc00272bb2e4cbc47487be336d84f108d85a7a
SHA256: 6ce1097b8bd1524d79a2056531b842d8b4304380f0b208877984fd68adb6e611
SHA512: e510395ad58cb92cccc626bd5891b904c2b9d852b15183cdb3a0922b3395f2c332d35dcb6af198b5c6458451c3ea8e51c6ee5e18537e00a3edc971600fef6464
Homepage: https://cran.r-project.org/package=rslp
Description: CRAN Package 'rslp' (A Stemming Algorithm for the Portuguese Language)
 Implements the "Stemming Algorithm for the Portuguese Language"
 <DOI:10.1109/SPIRE.2001.10024>.

Package: r-cran-rslurm
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-whisker
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rslurm_0.6.2-1.ca2004.1_all.deb
Size: 153044
MD5sum: f34dae88985c07c902fb0ac2121cf54f
SHA1: 59c0e303341ff9d855e9c35bfac82d76e303a86e
SHA256: 4675970406c2feab82f3cff7c1773532396cd3ce4dfe4846a1ff401e688fe693
SHA512: 721e90856f166d4f30443ef2f7376fae83bd31f2e5079480d573eb08932ff2c367c75c653946947ee81b4d1be759b2cdb4b1054db64fb908083d455fd8d44c57
Homepage: https://cran.r-project.org/package=rslurm
Description: CRAN Package 'rslurm' (Submit R Calculations to a 'Slurm' Cluster)
 Functions that simplify submitting R scripts to a 'Slurm' workload manager,
 in part by automating the division of embarrassingly parallel calculations
 across cluster nodes.

Package: r-cran-rsm
Architecture: all
Version: 2.10.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1287
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-estimability
Suggests: r-cran-emmeans, r-cran-vdg, r-cran-conf.design, r-cran-doe.base, r-cran-frf2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsm_2.10.6-1.ca2004.1_all.deb
Size: 849244
MD5sum: b1732dd505640eb671745dd011b20837
SHA1: 8de93b0af26601e9f88a2d6488ef5c2f3b5e0d93
SHA256: 4f7431418eb839db89a30c25d18979b8e0a1a128a11a2de48a4940466a0e70e1
SHA512: 0ee1166de2f771ca9ed0d1c27f378eb595d993d12e51446b74bb6076b6936c613c8f74e3a9d580ed6e216592e767c1fd2ec3014b48b1eefc1d21e21de22346ad
Homepage: https://cran.r-project.org/package=rsm
Description: CRAN Package 'rsm' (Response-Surface Analysis)
 Provides functions to generate response-surface designs, fit first- and
 second-order response-surface models, make surface plots, obtain the path of
 steepest ascent, and do canonical analysis. A good reference on these
 methods is Chapter 10 of Wu, C-F J and Hamada, M (2009) "Experiments:
 Planning, Analysis, and Parameter Design Optimization" ISBN
 978-0-471-69946-0. An early version of the package is documented in Journal
 of Statistical Software <doi:10.18637/jss.v032.i07>.

Package: r-cran-rsmalltelescopes
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rsmalltelescopes_1.0.4-1.ca2004.1_all.deb
Size: 20200
MD5sum: 2dd900860520a612d8a52b52e1a7b238
SHA1: 3e204a4ffc4948e4537a9f2e2a61d7d3fb403b43
SHA256: 6830431978dbdc4e3f28726d3a57a36e769351f68614f64b088ce5c6cd0f9d1c
SHA512: 622cf1be10c68e8d1860bcc9c5f3348565f8e80c1a4edb5febece144c840bc09ac47450a168b0c1280ca9c74430a35bc3457283ef157728b3e82144567754474
Homepage: https://cran.r-project.org/package=RSmallTelescopes
Description: CRAN Package 'RSmallTelescopes' (Empirical Small Telescopes Analysis)
 We provide functions to perform an empirical small telescopes analysis. This
 package contains 2 functions, SmallTelescopes() and EstimatePower(). Users
 only need to call SmallTelescopes() to conduct the analysis. For more
 information on small telescopes analysis see Uri Simonsohn (2015)
 <doi:10.1177/0956797614567341>.

Package: r-cran-rsmartlyio
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rsmartlyio_0.1.3-1.ca2004.1_all.deb
Size: 14920
MD5sum: 48384faf40337b064710cf51d46b2ca7
SHA1: 14d63276400ffdc58149f062f3d7abadb8e1b306
SHA256: a415f74745a4dea058908d968e781a25675746bdb6a55180b52cf80d95d6e6c6
SHA512: a92a55704edaf458ee87c655b2894268a2f834affd458f61d2df60ec8719bd2b59c19941553d98ec8bf12fab1b9a6da22ff28f2c71c699293a42759346ca3e82
Homepage: https://cran.r-project.org/package=RSmartlyIO
Description: CRAN Package 'RSmartlyIO' (Loading Facebook and Instagram Advertising Data from'Smartly.io')
 Aims at loading Facebook and Instagram advertising data from 'Smartly.io'
 into R. 'Smartly.io' is an online advertising service that enables
 advertisers to display commercial ads on social media networks (see
 <http://www.smartly.io/> for more information).  The package offers an
 interface to query the 'Smartly.io' API and loads data directly into R for
 further data processing and data analysis.

Package: r-cran-rsmatch
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-matrix
Suggests: r-cran-knitr, r-cran-nbpmatching, r-cran-rglpk, r-cran-rlang, r-cran-rmarkdown, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsmatch_0.2.1-1.ca2004.1_all.deb
Size: 68844
MD5sum: 7315394b8d6438a1dfb2018d8f11c9fb
SHA1: 6f235e937585f1aef78c2a98db01cd79fd013820
SHA256: 120cdaaa4b2c429f58a5d5b97ad392082b0ee602df444780ffab820ddc9c7816
SHA512: 24d5d63ca402b1ecad635400c9dc9448a0f2c1cab6d341a00af21de0bdc1337de631c53040867d2e7781cb26563464760406504e1223466bd4df4b33447e2338
Homepage: https://cran.r-project.org/package=rsmatch
Description: CRAN Package 'rsmatch' (Matching Methods for Time-Varying Observational Studies)
 Implements popular methods for matching in time-varying observational
 studies. Matching is difficult in this scenario because participants can be
 treated at different times which may have an influence on the outcomes. The
 core methods include: "Balanced Risk Set Matching" from Li, Propert, and
 Rosenbaum (2011) <doi:10.1198/016214501753208573> and "Propensity Score
 Matching with Time-Dependent Covariates" from Lu (2005)
 <doi:10.1111/j.1541-0420.2005.00356.x>. Some functions use the 'Gurobi'
 optimization back-end to improve the optimization problem speed; the
 'gurobi' R package and associated software can be downloaded from
 <https://www.gurobi.com> after obtaining a license.

Package: r-cran-rsmatrix
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-gpindex, r-cran-piar
Filename: pool/dists/focal/main/r-cran-rsmatrix_0.2.9-1.ca2004.1_all.deb
Size: 67424
MD5sum: a629379eb42b8231a2e72d8465d7c2a9
SHA1: cf94079ce242f5dfc29343a549450084c0862438
SHA256: ab0777a12507d277955202309091286cc538f0229bc442acf31807dd2ff66645
SHA512: adfa293e9b01d402fdbe182af05d2bf27d21f00e4a13b08a2c23280a0e6c5e0ec7ff9ba8e8fbde5af7d15ad898ee682f3cfa7a1ae656124b30f5c5a294fee009
Homepage: https://cran.r-project.org/package=rsmatrix
Description: CRAN Package 'rsmatrix' (Matrices for Repeat-Sales Price Indexes)
 Calculate the matrices in Shiller (1991,
 <doi:10.1016/S1051-1377(05)80028-2>) that serve as the foundation for many
 repeat-sales price indexes.

Package: r-cran-rsmlx
Architecture: all
Version: 2024.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 589
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2, r-cran-gridextra, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rsmlx_2024.1.0-1.ca2004.1_all.deb
Size: 548188
MD5sum: cb4a5d18ce29ccc5c9fdc832ec9ad8bd
SHA1: 1cc938eecd9c0cd0bf9efdfc59e2073f5c71115b
SHA256: 8e047c0a1d16f083c8f4d323cd2cafeb5922f631eb3edce1206c872dde4374ff
SHA512: 28a661d405a2b5159afdfc4dd58893c01d0470948b8caa74fb2ff46dd1a9ccd6c2eb4914fff205ab9f03557b9d33c6fb7b456c457ab520b4b3e84de8b3c284e1
Homepage: https://cran.r-project.org/package=Rsmlx
Description: CRAN Package 'Rsmlx' (R Speaks 'Monolix')
 Provides methods for model building and model evaluation of mixed effects
 models using 'Monolix' <https://monolix.lixoft.com>. 'Monolix' is a software
 tool for nonlinear mixed effects modeling that must have been installed in
 order to use 'Rsmlx'.  Among other tasks, 'Rsmlx' provides a powerful tool
 for automatic PK model building, performs statistical tests for model
 assessment, bootstrap simulation and likelihood profiling for computing
 confidence intervals. 'Rsmlx' also proposes several automatic covariate
 search methods for mixed effects models.

Package: r-cran-rsnell
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-rsnell_0.1-1.ca2004.1_all.deb
Size: 20940
MD5sum: 2f31c2d32a781bff24a5ff74a755a536
SHA1: 967cbd480c4e57a593955459ac0c8fc032d69a6b
SHA256: 94c9b62464b4bc15be0f62dbac3fd933a0df7c9b6e16bb8ce66f213079097ec6
SHA512: 3d387bf319742726cae430120404c1eb0f1eb8e8168aa4b6fb41865c0cf38455f6bcb3e47d4f8ecc98be9789b87322fe71a78a8102afa87aaf15ed4112aa97cd
Homepage: https://cran.r-project.org/package=rsnell
Description: CRAN Package 'rsnell' (Snell Scoring)
 The Snell scoring procedure, implemented in R. This procedure was first
 described by E.J Snell (1964) <doi:10.2307/2528498> and was later used by
 Tong et al (1977) <doi:10.4141/cjas77-001> in dairy.

Package: r-cran-rsnps
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plyr, r-cran-stringr, r-cran-crul, r-cran-data.table, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-tibble, r-cran-vcr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rsnps_0.6.0-1.ca2004.1_all.deb
Size: 108608
MD5sum: 93059356d971636aaa3e5c92f636066e
SHA1: cee870e7a23199637f0cd1d29c239f61a3db2fab
SHA256: 928ada2ec86d87e322bd83dc48fb03075d0b2a85714da4f7a445b9312bb82f98
SHA512: 97c763e067be52ba1bd6effe9a51c2e528cdd3b60bdf6c348799d9f5c96f3abca763ea622b08a2babfdbf71350b1327a86ba977b8b0084d155b59ad434f373ba
Homepage: https://cran.r-project.org/package=rsnps
Description: CRAN Package 'rsnps' (Get 'SNP' ('Single-Nucleotide' 'Polymorphism') Data on the Web)
 A programmatic interface to various 'SNP' 'datasets' on the web: 'OpenSNP'
 (<https://opensnp.org>), and 'NBCIs' 'dbSNP' database
 (<https://www.ncbi.nlm.nih.gov/projects/SNP/>). Functions are included for
 searching for 'NCBI'. For 'OpenSNP', functions are included for getting
 'SNPs', and data for 'genotypes', 'phenotypes', annotations, and bulk
 downloads of data by user.

Package: r-cran-rsocialwatcher
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-stringr, r-cran-splitstackshape, r-cran-sf, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsocialwatcher_0.1.1-1.ca2004.1_all.deb
Size: 568768
MD5sum: 40f7951df82b6e230bda1263669160bf
SHA1: f7fc7bb51f4177bd4b5876682f81623796bd55a4
SHA256: 13190e6334d8ee6d39380e25d0e1ddf0a63efbb720a7e1b80ce4e157b3035092
SHA512: fe8e24e0b794be1dec60b71a304df6a93f94e775c63ca885911b700300980d944927b7bef2f14dbf6839def9a9a4f4acba9f4e8df72304dc032472486548c49c
Homepage: https://cran.r-project.org/package=rsocialwatcher
Description: CRAN Package 'rsocialwatcher' ('Facebook Marketing API' Social Watcher)
 Facilitates querying data from the ‘Facebook Marketing API', particularly
 for social science research
 <https://developers.facebook.com/docs/marketing-apis/>. Data from the
 'Facebook Marketing API' has been used for a variety of social science
 applications, such as for poverty estimation (Marty and Duhaut (2024)
 <doi:10.1038/s41598-023-49564-6>), disease surveillance (Araujo et al.
 (2017) <doi:10.48550/arXiv.1705.04045>), and measuring migration (Alexander,
 Polimis, and Zagheni (2020) <doi:10.1007/s11113-020-09599-3>). The package
 facilitates querying the number of Facebook daily/monthly active users for
 multiple location types (e.g., from around a specific coordinate to an
 administrative region) and for a number of attribute types (e.g., interests,
 behaviors, education level, etc). The package supports making complex
 queries within one API call and making multiple API calls across different
 locations and/or parameters.

Package: r-cran-rsocrata
Architecture: all
Version: 1.7.15-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-mime, r-cran-plyr
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-readr
Filename: pool/dists/focal/main/r-cran-rsocrata_1.7.15-1-1.ca2004.1_all.deb
Size: 39796
MD5sum: 8f4271024a85f00db66e252bdd0324f8
SHA1: d76c7f16f0e0153efecf88072242e608127aebc6
SHA256: 9bfaa4991db8f26e164aa2999950238c838d478bf938a3bcb9f51ba072c597fc
SHA512: 5d65a1c494055980f34c6e98ec6b899284c5ea21293d3a43ad0422d8bacb675cf1d60c03af8ddff50e989111dd8342f0c80cc5bc7347890b96a6983e053509bf
Homepage: https://cran.r-project.org/package=RSocrata
Description: CRAN Package 'RSocrata' (Download or Upload 'Socrata' Data Sets)
 Provides easier interaction with 'Socrata' open data portals
 <https://dev.socrata.com>.  Users can provide a 'Socrata' data set resource
 URL, or a 'Socrata' Open Data API (SODA) web query, or a 'Socrata'
 "human-friendly" URL, returns an R data frame. Converts dates to 'POSIX'
 format and manages throttling by 'Socrata'.  Users can upload data to
 'Socrata' portals directly from R.

Package: r-cran-rsoi
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-memoise
Suggests: r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rsoi_0.5.6-1.ca2004.1_all.deb
Size: 327100
MD5sum: 2712a0d132da58e0de8350eaeca8884e
SHA1: fc58b82c6de65094e8d5b15ee05cc0a2c62188c0
SHA256: 10132ee4b5db0a57d9545e06089c2b573ad64e6c65b19f0c3d03192cb9f165c6
SHA512: 4c6ce9e8ccd967aea35b4501d334e7fed03aa0940ffa1348918dc746c30929105982cda9ecd6c39495d89ccde71204b2a8d5ccf810a24fd9a24d1978d98f208f
Homepage: https://cran.r-project.org/package=rsoi
Description: CRAN Package 'rsoi' (Import Various Northern and Southern Hemisphere Climate Indices)
 Downloads Southern Oscillation Index, Oceanic Nino Index, North Pacific Gyre
 Oscillation data, North Atlantic Oscillation and Arctic Oscillation. Data
 sources are described in the help files for each function.

Package: r-cran-rsolnp
Architecture: all
Version: 1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-rsolnp_1.16-1.ca2004.1_all.deb
Size: 248396
MD5sum: a7ebaee2db55a519a16ac25b3f5193a2
SHA1: 1a6a1c80ab7eabb3df2c3ff69d99edd1727916dc
SHA256: 48615e4a06384f26214236aecdae14030a74f78a4a9d2084e952a90c97a3653a
SHA512: 97070aa5745938cd30108380f47aa427c0a5ed61b67f1cd71f06fad138a47ae2a4b6cda08252b3d976a8bf252a9ea9cd8dc890cbc3b72986b9f3cca2d51c65fd
Homepage: https://cran.r-project.org/package=Rsolnp
Description: CRAN Package 'Rsolnp' (General Non-Linear Optimization)
 General Non-linear Optimization Using Augmented Lagrange Multiplier Method.

Package: r-cran-rsolr
Architecture: all
Version: 0.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2662
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-biocgenerics, r-cran-restfulr, r-bioc-graph, r-bioc-s4vectors, r-cran-rjson, r-cran-xml, r-cran-rcurl
Suggests: r-cran-nycflights13, r-cran-runit, r-cran-mass, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rsolr_0.0.13-1.ca2004.1_all.deb
Size: 1641648
MD5sum: bfa203b677c433ef8bb351017aab8505
SHA1: fc7710f0f409f3775cc69b1eb26111b1af07730b
SHA256: 694d5966c6b1c62f54a94a51d41be450c4731d5a9426db4957cb3f35b82ac1a1
SHA512: 887fd0a4172728508e6277f1aa31da2c9ce45133e7c25043675922d74d9e211cc55733486ff81e1d682ebacd116e155deba997160dc25fe6823c729f38a523cf
Homepage: https://cran.r-project.org/package=rsolr
Description: CRAN Package 'rsolr' (R to Solr Interface)
 A comprehensive R API for querying Apache Solr databases.  A Solr core is
 represented as a data frame or list that supports Solr-side filtering,
 sorting, transformation and aggregation, all through the familiar base R
 API. Queries are processed lazily, i.e., a query is only sent to the
 database when the data are required.

Package: r-cran-rsp
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1913
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dt, r-cran-gparotation, r-cran-mvn, r-cran-metrics, r-cran-shinyitemanalysis, r-cran-catr, r-cran-foreign, r-cran-gt, r-cran-hornpa, r-cran-igraph, r-cran-lavaan, r-cran-mirt, r-cran-plyr, r-cran-ggplot2, r-cran-polycor, r-cran-psych, r-cran-rjava, r-cran-semplot, r-cran-shinybs, r-cran-shinywidgets, r-cran-scales, r-cran-ltm, r-cran-shinycustomloader, r-cran-shinyjs, r-cran-shinythemes, r-cran-xlsx, r-cran-shiny, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsp_0.4-1.ca2004.1_all.deb
Size: 1577020
MD5sum: 7c6b8f454c92259c99e841ed9eefb03c
SHA1: 8afe5b5f2b5b30a163c4c4bebbdc182601cf5cb5
SHA256: 6e7b41d7a5b0e6e25fdda887331834edc01e3c42d53606fc65e586dabf565d6c
SHA512: 5747d83a508116829a74e7ef90ad2d204db3b4c1df2025d9fcc615b55eff7eff81355ccd0a4db8be5d894ee11f02ffe1044319542325b53426fac7f1bdf5f9bd
Homepage: https://cran.r-project.org/package=RSP
Description: CRAN Package 'RSP' ('shiny' Applications for Statistical and Psychometric Analysis)
 Toolbox with 'shiny' applications for widely used psychometric methods.
 Those methods include following analysis: Item analysis, item response
 theory calibration, principal component analysis, confirmatory factor
 analysis - structural equation modeling, generating simulated data.
 References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022,
 <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012,
 <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012,
 <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017,
 <doi:10.18637/jss.v076.c01>).

Package: r-cran-rsparcs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-sf, r-cran-geosphere, r-cran-tigris, r-cran-raster, r-cran-sp, r-cran-plyr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rsparcs_0.1.1-1.ca2004.1_all.deb
Size: 75132
MD5sum: 8c820d73a44394b5a385765f5cdeec47
SHA1: cf58b49c8a9ef8968157d2f1e4e2174f6ae0fdd3
SHA256: 86eec2b1f19c4d2d90317639e444a59c6cfafe0157e9b179898ab3e743f379e5
SHA512: 4a9db2e97ba9d0b63d47c83228fc5e4b339ade5ba62f943daa9064bcaf59fe3c3d4001ca9835554e5952817b226aa2568a336b39b8718c662e875b5c6ed34bad
Homepage: https://cran.r-project.org/package=rSPARCS
Description: CRAN Package 'rSPARCS' (Sites, Population, and Records Cleaning Skills)
 Data cleaning including 1) generating datasets for time-series and
 case-crossover analyses based on raw hospital records, 2) linking
 individuals to an areal map, 3) picking out cases living within a buffer of
 certain size surrounding a site, etc. For more information, please refer to
 Zhang W,etc. (2018) <doi:10.1016/j.envpol.2018.08.030>.

Package: r-cran-rsparkling
Architecture: all
Version: 0.2.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr, r-cran-h2o
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsparkling_0.2.19-1.ca2004.1_all.deb
Size: 13116
MD5sum: 248248d4d33991d90d5ba2db2ee8cc06
SHA1: 84fc7665d53d5218958b76335c94f266d68413eb
SHA256: 8577e51ad0a70f3e9475651def5d6cc8ab6f5a5ec7f4494bded694cbd8bd0ec7
SHA512: 6cfcd2f40885981891b8e1d8d87479931692884a360b010ceb8c3e0721618a490aea5daaaef5cc47076cc31201876442e999d354ec12441b5722d9f908436a73
Homepage: https://cran.r-project.org/package=rsparkling
Description: CRAN Package 'rsparkling' (R Interface for H2O Sparkling Water)
 An extension package for 'sparklyr' that provides an R interface to H2O
 Sparkling Water machine learning library (see
 <https://github.com/h2oai/sparkling-water> for more information).

Package: r-cran-rspc
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rspc_1.2.2-1.ca2004.1_all.deb
Size: 63388
MD5sum: 5b45cf1a7fad7ed4467c843923bdd3b0
SHA1: dbf02af3323008a84502d27ef5be0f43560e8b8a
SHA256: 20ae66985c32fc6fc1312af93773d3476779cfd8ea4fa884ded7a95121a498a1
SHA512: a989c88ea1a9ce469fab917eb6a5f3993ed87d1f9c49cda62177168a734a5cc79dad2484619b5c550e80a92791e9eaa446406976e223ab395c8014d3ef33a9a5
Homepage: https://cran.r-project.org/package=Rspc
Description: CRAN Package 'Rspc' (Nelson Rules for Control Charts)
 Implementation of Nelson rules for control charts in 'R'. The 'Rspc'
 implements some Statistical Process Control methods, namely Levey-Jennings
 type of I (individuals) chart, Shewhart C (count) chart and Nelson rules (as
 described in Montgomery, D. C. (2013) Introduction to statistical quality
 control. Hoboken, NJ: Wiley.). Typical workflow is taking the time series,
 specify the control limits, and list of Nelson rules you want to evaluate.
 There are several options how to modify the rules (one sided limits,
 numerical parameters of rules, etc.). Package is also capable of calculating
 the control limits from the data (so far only for i-chart and c-chart are
 implemented).

Package: r-cran-rspde
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5785
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-fmesher, r-cran-lifecycle, r-cran-broom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-lattice, r-cran-splancs, r-cran-optimparallel, r-cran-rspectra, r-cran-numderiv, r-cran-inlabru, r-cran-sn, r-cran-viridis, r-cran-doparallel, r-cran-foreach, r-cran-tidyr, r-cran-dplyr, r-cran-generalizedhyperbolic, r-cran-gridextra, r-cran-metricgraph, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rspde_2.5.1-1.ca2004.1_all.deb
Size: 5629248
MD5sum: 1afc9becbd2dae0aa805b65a25dab1fe
SHA1: 1f6f3476bd1d1b5dbc7165924096ae7167645ede
SHA256: e705d0cba400d4479a2a2d5788f388b170a291a2cf18e54e59a4754ce3be609a
SHA512: a7b7a88e8aea6d27cd847da6bdfd24503a4ddf9e039408ade450fefc599895b33ecc8458406c1b94a6b43686e2b498f7d3dc9e3cef4662d9fabe37509d5762d7
Homepage: https://cran.r-project.org/package=rSPDE
Description: CRAN Package 'rSPDE' (Rational Approximations of Fractional Stochastic PartialDifferential Equations)
 Functions that compute rational approximations of fractional elliptic
 stochastic partial differential equations. The package also contains
 functions for common statistical usage of these approximations. The main
 references for rSPDE are Bolin, Simas and Xiong (2023)
 <doi:10.1080/10618600.2023.2231051> for the covariance-based method and
 Bolin and Kirchner (2020) <doi:10.1080/10618600.2019.1665537> for the
 operator-based rational approximation. These can be generated by the
 citation function in R.

Package: r-cran-rspincalc
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rspincalc_1.0.2-1.ca2004.1_all.deb
Size: 145772
MD5sum: 5fbaa89bdd8d868719a22ea3d0df1a5a
SHA1: 74ffaade8475106a671f9b803000a8a50b0f4736
SHA256: 7417132536cbb25a7706c888c4882b0ad6d540c33fbc7c1eb3dce36a905179f7
SHA512: 95f3318096939a70c3385b6ea3470a91930260feb6aa555ff3d4b540ea7753ec05f7784103381e9f861d9c861a2f7aa9a73aa97ce17f053876c3830c0883df02
Homepage: https://cran.r-project.org/package=RSpincalc
Description: CRAN Package 'RSpincalc' (Conversion Between Attitude Representations of DCM, EulerAngles, Quaternions, and Euler Vectors)
 Conversion between attitude representations: DCM, Euler angles, Quaternions,
 and Euler vectors.  Plus conversion between 2 Euler angle set types (xyx,
 yzy, zxz, xzx, yxy, zyz, xyz, yzx, zxy, xzy, yxz, zyx).  Fully vectorized
 code, with warnings/errors for Euler angles (singularity, out of range,
 invalid angle order), DCM (orthogonality, not proper, exceeded tolerance to
 unity determinant) and Euler vectors(not unity).  Also quaternion and other
 useful functions.  Based on SpinCalc by John Fuller and SpinConv by Paolo de
 Leva.

Package: r-cran-rspiro
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rspiro_0.5-1.ca2004.1_all.deb
Size: 308744
MD5sum: 4e36752d6e1c0b94c10f0b57ffc103b0
SHA1: 821bb88de4e097689f97a878a9c5f498687d19b8
SHA256: 4e2a520d58aadbf0bc76033b2776e47591be644a0e9871b0dd8d90bdcdead25a
SHA512: 5fa499328bc31270f99cdf7592fb37fd02cf6bff9f6260e16106c9508163f7980874951b79c4ecacf14f82a49a1c895fa198cd00949b908b162732d2969d4479
Homepage: https://cran.r-project.org/package=rspiro
Description: CRAN Package 'rspiro' (Implementation of Spirometry Equations)
 Implementation of various spirometry equations in R, currently the GLI-2012
 (Global Lung Initiative; Quanjer et al. 2012
 <doi:10.1183/09031936.00080312>), the race-neutral GLI global 2022 (Global
 Lung Initiative; Bowerman et al. 2023 <doi:10.1164/rccm.202205-0963OC>), the
 NHANES3 (National Health and Nutrition Examination Survey; Hankinson et al.
 1999 <doi:10.1164/ajrccm.159.1.9712108>) and the JRS 2014 (Japanese
 Respiratory Society; Kubota et al. 2014 <doi:10.1016/j.resinv.2014.03.003>)
 equations.  Also the GLI-2017 diffusing capacity equations
 <doi:10.1183/13993003.00010-2017> are implemented.  Contains user-friendly
 functions to calculate predicted and LLN (Lower Limit of Normal) values for
 different spirometric parameters such as FEV1 (Forced Expiratory Volume in 1
 second), FVC (Forced Vital Capacity), etc, and to convert absolute
 spirometry measurements to percent (%) predicted and z-scores.

Package: r-cran-rspm
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-renv, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-rspm_0.6.1-1.ca2004.1_all.deb
Size: 47652
MD5sum: 331385b555afa716d780623d082b2166
SHA1: 2ffa0b8ffcede1dbf51bc8fb72b56beb43aa642c
SHA256: 415fd9958377fd77b59af61966ec1c9ef522fd3ab8461b2da354351011382e24
SHA512: 51a6d0515b790356eab48934853e15faa08f0c6ac485776c7d574852733d1ab9ee1df8e0c8c7e187a53bab3e9cce1de0915fc487c3c68effda68639fd8495b50
Homepage: https://cran.r-project.org/package=rspm
Description: CRAN Package 'rspm' ('RStudio' Package Manager)
 Enables binary package installations on Linux distributions.  Provides
 access to 'RStudio' public repositories at
 <https://packagemanager.posit.co>, and transparent management of system
 requirements without administrative privileges. Currently supported
 distributions are 'CentOS' / 'RHEL' 7-9, and several 'RHEL' derivatives
 ('Rocky Linux', 'AlmaLinux', 'Oracle Linux', and 'Amazon Linux'), 'openSUSE'
 / 'SLES' 15.4-5, 'Debian' 11-12, and 'Ubuntu' LTS 20-22.

Package: r-cran-rspotify
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rspotify_0.1.2-1.ca2004.1_all.deb
Size: 47052
MD5sum: 56f78ab72d48d40129c4beda52311633
SHA1: 41216cfe0e7c5bb81380217e88cf156e6f7c0433
SHA256: 02ee247e032781aeee5e68d7ebb55641d55d8fd46fdc9e8714ddbb9351eabf7d
SHA512: 2c294c99fadc80772aaa35a2a4e7e2c66c250e58eb9373e5abe79cc37ec0d3e8ca69781869764feb87990e0450fcb5dd93b9b582b7edb0ab517e9380acf05dc8
Homepage: https://cran.r-project.org/package=Rspotify
Description: CRAN Package 'Rspotify' (Access to Spotify API)
 Provides an interface to the Spotify API
 <https://developer.spotify.com/documentation/web-api/>.

Package: r-cran-rsppfp
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-foreach, r-cran-doparallel, r-cran-igraph, r-cran-tidyr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rsppfp_1.0.4-1.ca2004.1_all.deb
Size: 146608
MD5sum: fe3c3a3e3b207c2bb896fc76cee6cee0
SHA1: a430c216c6ea0b80c733ddae94db8e61b7b89dd8
SHA256: 6612fda8bbbc498b7d911d030d96277d98d1d0938c9bc1ee4ab3da1570ed6295
SHA512: fcfe50bf5e96159bf1ac894999225d32d9eb9c04c6298f468847d9d3b9942b6db1db558ce2910c1ed21030f7ee3b7cd412e926eb6a9afe548a4be47efe3e8dee
Homepage: https://cran.r-project.org/package=rsppfp
Description: CRAN Package 'rsppfp' (R's Shortest Path Problem with Forbidden Subpaths)
 An implementation of functionalities to transform directed graphs that are
 bound to a set of known forbidden paths. There are several transformations,
 following the rules provided by Villeneuve and Desaulniers (2005) <doi:
 10.1016/j.ejor.2004.01.032>, and Hsu et al. (2009) <doi:
 10.1007/978-3-642-03095-6_60>.  The resulting graph is generated in a
 data-frame format. See rsppfp website for more information, documentation an
 examples.

Package: r-cran-rsprite2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-rdpack
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-scales
Filename: pool/dists/focal/main/r-cran-rsprite2_0.2.1-1.ca2004.1_all.deb
Size: 101076
MD5sum: 6f8117bb62bc57375ceb561c72219fc1
SHA1: da22d3545e109f78b63e648c47f1889292d812c5
SHA256: 9cc93fb0e518b1e2b9244f69c155bdbf925b51a2b5decadaa0fccf654c120c83
SHA512: 2250720354a2f52bd48f0c8ba289b2a90f2ec4af52784fc312a5012e46dc7123d47c9daab058112329b31da10bca4655b430c50a15dccfd3742c476fe1f01429
Homepage: https://cran.r-project.org/package=rsprite2
Description: CRAN Package 'rsprite2' (Identify Distributions that Match Reported Sample Parameters(SPRITE))
 The SPRITE algorithm creates possible distributions of discrete responses
 based on reported sample parameters, such as mean, standard deviation and
 range (Heathers et al., 2018, <doi:10.7287/peerj.preprints.26968v1>). This
 package implements it, drawing heavily on the code for Nick Brown's
 'rSPRITE' Shiny app <https://shiny.ieis.tue.nl/sprite/>.  In addition, it
 supports the modeling of distributions based on multi-item (Likert-type)
 scales and the use of restrictions on the frequency of particular responses.

Package: r-cran-rsq
Architecture: all
Version: 2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lme4, r-cran-nlme, r-cran-deriv, r-cran-matrix, r-cran-deming, r-cran-mcr
Filename: pool/dists/focal/main/r-cran-rsq_2.7-1.ca2004.1_all.deb
Size: 97212
MD5sum: a4460c325a884b723280d093666564e9
SHA1: f3766f44c80f74bc8d67696d3375d6db139a9fa8
SHA256: 9d8143bab3ebb4d3fdce35875dba7695451730ebe24b5667a8f96985cac66b73
SHA512: 10e75ca3be6cb679f53aa17e094931be3f33431d957c7fbdb195fb4fdb13d66f333e2097a7f74c46076eca9dc47a63738bc649e38562b828c0cd228513668246
Homepage: https://cran.r-project.org/package=rsq
Description: CRAN Package 'rsq' (R-Squared and Related Measures)
 Calculate generalized R-squared, partial R-squared, and partial correlation
 coefficients for generalized linear (mixed) models (including quasi models
 with well defined variance functions).

Package: r-cran-rsql
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lgr, r-cran-r6, r-cran-dbi
Suggests: r-cran-rsqlite, r-cran-rmysql, r-cran-rpostgres, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat, r-cran-covr, r-cran-lintr, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-rsql_0.2.2-1.ca2004.1_all.deb
Size: 162824
MD5sum: f5ccf2585a37c6a4cdb8b831dd9ec01c
SHA1: ff4e9c2d5c38808c579169afbae2f86ef40ac280
SHA256: c1d2753a697ae5559f59b1c01504afbe8cfbf1ecb101b6d72bf6dd0f28ca87ef
SHA512: 9b2bf79cc657871e39ccbd71f3be2b2eaf24ff63052ee523792e46d04bfd91aa817b8adf9928219c0ec89ed941cd144451ef1db359350897604f828784155f72
Homepage: https://cran.r-project.org/package=RSQL
Description: CRAN Package 'RSQL' (Database Agnostic Package to Generate and Process 'SQL' Queriesin R)
 Allows the user to generate and execute select, insert, update and delete
 'SQL' queries the underlying database without having to explicitly write
 'SQL' code.

Package: r-cran-rsqliteadmin
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-config, r-cran-golem, r-cran-shiny, r-cran-rsqlite, r-cran-dt, r-cran-shinyfiles, r-cran-fs, r-cran-shinyace, r-cran-shinyjqui, r-cran-shinydashboard, r-cran-disk.frame, r-cran-data.table, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsqliteadmin_1.0.1-1.ca2004.1_all.deb
Size: 188756
MD5sum: ef21e7bde88dbf5e254ad37366dd3db5
SHA1: e18953b903407c6b2d0f10307fdbc47d011edb35
SHA256: b935e15c69e400155a8f1ba4032dbd4593433c30ef96d8558762775fbe76eff3
SHA512: 0ef5197dc5f39304eb77b893742dabbcdf7ec526bc87af7ba3ec562a34c85f16c50e086feb38fc30acbb819240a9ece006b785c6c4faa58c3dbd7acdcc5f8c62
Homepage: https://cran.r-project.org/package=rsqliteadmin
Description: CRAN Package 'rsqliteadmin' (A GUI to Manage SQLite Databases)
 A comprehensive tool written in R Shiny to explore, manage and update SQLite
 Databases.

Package: r-cran-rsqlparser
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsqlparser_1.5-1.ca2004.1_all.deb
Size: 25480
MD5sum: 8b355c20d09ca3de5e678415e42119b4
SHA1: b0d8c490cee1fb045f7bdf0ca19c4c0609e74f31
SHA256: ed38cf1b3582fe408ff73617e1f4781ebf96d771a864ec3402e2f5667ea555e5
SHA512: 5a19329304b0ff9e2a4ec314ab04ba75cad78f29daa9e3b24b60ee7623e8eaa5cf082a6968e9641053047adce98df3a65782b2d59f97fc60d24ce7c02ce62593
Homepage: https://cran.r-project.org/package=RSqlParser
Description: CRAN Package 'RSqlParser' (Parse 'SQL' Statements)
 Parser for 'SQL' statements. Currently, it supports parsing of only 'SELECT'
 statements.

Package: r-cran-rsqm
Architecture: all
Version: 1.3.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4528
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ncdf4, r-cran-zoo, r-cran-stringr, r-cran-ecohydrology, r-cran-dplyr, r-cran-gsubfn, r-cran-yaml, r-cran-mise, r-cran-reshape2, r-cran-qmap, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsqm_1.3.14-1.ca2004.1_all.deb
Size: 1300320
MD5sum: 0eaf20c14154df9914463f9af5e9252b
SHA1: db307358e025838194a975c5cf61cf7844254da6
SHA256: 0874a93da809db8a91e4c90ff8bb86a57a06ce765f1bc2a4a4610e3141f284cf
SHA512: 01e92b315be05f69da1ee103b56ea5a5b73f734271e847cc556b72cc9db4e4c55e6bb8428e539da7b2325356677b3f5083a96cde99613f2d9929e0c8cfc0e5ab
Homepage: https://cran.r-project.org/package=rSQM
Description: CRAN Package 'rSQM' (Statistical Downscaling Toolkit for Climate Change Scenariousing Non Parametric Quantile Mapping)
 Conducts statistical downscaling of daily CMIP5 (Coupled Model
 Intercomparison Project 5) climate change scenario data at a station level
 using empirical quantile mapping method by Jaepil Cho et al. (2016)
 <doi:10.1002/ird.2035>.

Package: r-cran-rsqmed
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sis, r-cran-gmmat
Filename: pool/dists/focal/main/r-cran-rsqmed_1.1-1.ca2004.1_all.deb
Size: 123520
MD5sum: 28cee3ac52a5394fa4ab9fb314a868b6
SHA1: 2b89ffce14fe5fb603c2a19ccd39259632aba21d
SHA256: a30f5fd07a380f92cf48ddec297f3d5c9c5155e76a3f4bc609dfc8409d71ab70
SHA512: 650ca335af8056c8daa378c3b193acfeb50efa0a30234c2a3760371144223c82f3b582566eb45e3a462f255c9feb1f2aa5668778277307c37fa99b40f91014e8
Homepage: https://cran.r-project.org/package=RsqMed
Description: CRAN Package 'RsqMed' (Total Mediation Effect Size Measure for High-DimensionalMediators)
 An implementation of calculating the R-squared measure as a total mediation
 effect size measure and its confidence interval for moderate- or
 high-dimensional mediator models. It gives an option to filter out
 non-mediators using variable selection methods. The original R package is
 directly related to the paper Yang et al (2021) "Estimation of mediation
 effect for high-dimensional omics mediators with application to the
 Framingham Heart Study" <doi:10.1101/774877>. The new version contains a
 choice of using cross-fitting, which is computationally faster. The details
 of the cross-fitting method are available in the paper Xu et al (2023)
 "Speeding up interval estimation for R2-based mediation effect of
 high-dimensional mediators via cross-fitting"
 <doi:10.1101/2023.02.06.527391>.

Package: r-cran-rsquaredmi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-altr2, r-cran-lm.beta, r-cran-matrixstats, r-cran-mice
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsquaredmi_0.2.0-1.ca2004.1_all.deb
Size: 22296
MD5sum: 235621defe65bbf87030eb27a882dac1
SHA1: a1800986bf4873eec36fd065cf07ef12c52eb7c3
SHA256: 0417cbb0fe37b40e0b2839773b346af105cef840fbadf8cf6117dabd7cf9fc27
SHA512: 6cad00f39eb64b3281769e4c6c601231e598e940a21b38940f292bfe25a6dfd5a066d2fc2963bf7cb22bdfc478ac247d3629fcb359e32c2af2ed28b266489097
Homepage: https://cran.r-project.org/package=RSquaredMI
Description: CRAN Package 'RSquaredMI' (R-Squared with Multiply Imputed Data)
 Provides R-squared values and standardized regression coefficients for
 linear models applied to multiply imputed datasets as obtained by 'mice'.
 Confidence intervals, zero-order correlations, and alternative adjusted
 R-squared estimates are also available. The methods are described in Van
 Ginkel and Karch (2024) <doi:10.1111/bmsp.12344> and in Van Ginkel (2020)
 <doi:10.1007/s11336-020-09696-4>.

Package: r-cran-rssampling
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnbayes
Filename: pool/dists/focal/main/r-cran-rssampling_1.0-1.ca2004.1_all.deb
Size: 117392
MD5sum: f0c20aaf54c014685be10c4b99e456e0
SHA1: 48801de22f84cfb1db0ce40ff931d4c74016bc46
SHA256: daaa39668d9510184eb3195c973e07363ec32f1552e36a6c2cae7d66b5019451
SHA512: 96177cd8e863ad01738ebad62c5f968c5f67d1192815124e03f3b0ced468a179c6d590bef9798ce8103452afcb37b924e29b1f93fb80e64fd54c45168ec24d62
Homepage: https://cran.r-project.org/package=RSSampling
Description: CRAN Package 'RSSampling' (Ranked Set Sampling)
 Ranked set sampling (RSS) is introduced as an advanced method for data
 collection which is substantial for the statistical and methodological
 analysis in scientific studies by McIntyre (1952) (reprinted in 2005)
 <doi:10.1198/000313005X54180>. This package introduces the first package
 that implements the RSS and its modified versions for sampling. With
 'RSSampling', the researchers can sample with basic RSS and the modified
 versions, namely, Median RSS, Extreme RSS, Percentile RSS, Balanced groups
 RSS, Double RSS, L-RSS, Truncation-based RSS, Robust extreme RSS. The
 'RSSampling' also allows imperfect ranking using an auxiliary variable
 (concomitant) which is widely used in the real life applications. Applicants
 can also use this package for parametric and nonparametric inference such as
 mean, median and variance estimation, regression analysis and some
 distribution-free tests where the the samples are obtained via basic RSS.

Package: r-cran-rssimulx
Architecture: all
Version: 2024.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rssimulx_2024.1-1.ca2004.1_all.deb
Size: 369996
MD5sum: 3431eefe96d71ee91ebd4f3535b2a057
SHA1: ee9dcabc71b699cbc431a773e0ddb0bc429bcd4e
SHA256: b5bc1fd5cf405850f322428e2f4e1bb46e81eee5d3e0ea8ae0486e66ad278cb4
SHA512: 178b4437e3639016333ed16655afa34b8cd01a63e03998b481f1da5179babf829d700ad781bf97c248ab1f00a181344c0b66110ee8e9f58d853a805ab9cc3c8c
Homepage: https://cran.r-project.org/package=RsSimulx
Description: CRAN Package 'RsSimulx' (Extension of 'lixoftConnectors' for 'Simulx')
 Provides useful tools which supplement the use of 'Simulx' software and 'R'
 connectors ('Monolix Suite'). 'Simulx' is an easy, efficient and flexible
 application for clinical trial simulations. You need 'Simulx' software to be
 installed in order to use 'RsSimulx' package. Among others tasks, 'RsSimulx'
 provides the same functions as package 'mlxR' does with a compatibility with
 'Simulx' software.

Package: r-cran-rssop
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rssop_1.1-1.ca2004.1_all.deb
Size: 62556
MD5sum: ed7550eeff2fbe0e78c5210eb044c22b
SHA1: 37236365ca01031a5abc0e575e78e9b2efae2309
SHA256: bcbf488f2086aae1e94291f6dd18cfd4d6813b9ec90c06256b085ce9fa59dd88
SHA512: 2e98a89dcb38045125c47c3828dd187fabb2cb4fd82f8efd179ae64d2b5ced1f9f92154882d339cf406ee2ac1976e4dff08aead384d4a460d0f2cd843a5e9178
Homepage: https://cran.r-project.org/package=RSSOP
Description: CRAN Package 'RSSOP' (Simulation of Supply Reservoir Systems using Standard OperationPolicy)
 Reservoir Systems Standard Operation Policy. A system for simulation of
 supply reservoirs. It proposes functionalities for plotting and evaluation
 of supply reservoirs systems.

Package: r-cran-rsstest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-huxtable
Filename: pool/dists/focal/main/r-cran-rsstest_1.0-1.ca2004.1_all.deb
Size: 59960
MD5sum: a14fbadc350eba850458504c6c72280f
SHA1: 52caec053090a79e972e3c257c6cb3db3e3f0500
SHA256: b03f4f48e1c72bfd69d55c741e9b67b325334f6811ced70c19d95db2c9e069e9
SHA512: 63afe787f7c476bcc83beaaf5b7aaa2c2e932dc6f99506cc0f1f495996ab8513f6e7b6354ce4681f283188240fc8f9a904a3c82641fca3fb9ddca7a1db80d0d1
Homepage: https://cran.r-project.org/package=RSStest
Description: CRAN Package 'RSStest' (Testing the Equality of Two Means Using RSS and MRSS)
 Testing the equality of two means using Ranked Set Sampling and Median
 Ranked Set Sampling are provided under normal distribution. Data generation
 functions are also given RSS and MRSS.  Also, data generation functions are
 given under imperfect ranking data for Ranked Set Sampling and Median Ranked
 Set Sampling.  Ozdemir Y.A., Ebegil M., & Gokpinar F. (2019),
 <doi:10.1007/s40995-018-0558-0> Ozdemir Y.A., Ebegil M., & Gokpinar F.
 (2017), <doi:10.1080/03610918.2016.1263736>.

Package: r-cran-rssthemes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-purrr, r-cran-showtext, r-cran-sysfonts
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rssthemes_1.0.0-1.ca2004.1_all.deb
Size: 292088
MD5sum: 54280b4ef1e02b5767236427ce824b47
SHA1: d6f905cd1023b1e326fe18af2d27a99c9fe545f2
SHA256: cbbf72b655fffde58d8cf18ea67f1ca904e5fa6cd32f9ff320672415d7ccf25a
SHA512: 0404e3392399fa295b37d8d04dd6d2274553b77183b3b4dd7dd7eeef81cd50d806c434cbc1bad185f0da87d86193fe02222e5e80d0ec19f1306951dd2c858de2
Homepage: https://cran.r-project.org/package=RSSthemes
Description: CRAN Package 'RSSthemes' (RSS Palettes and Themes)
 Defines colour palettes and themes for Royal Statistical Society (RSS)
 publications, including Significance magazine. Palettes and themes are
 supported in both base R and 'ggplot2' graphics, and are intended to be used
 by authors submitting to RSS publications.

Package: r-cran-rstac
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 607
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-crayon, r-cran-sf, r-cran-png, r-cran-jpeg, r-cran-magrittr
Suggests: r-cran-lifecycle, r-cran-testthat, r-cran-knitr, r-cran-tmap, r-cran-leaflet, r-cran-stars, r-cran-slider, r-cran-ggplot2, r-cran-purrr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-rstac_1.0.1-1.ca2004.1_all.deb
Size: 431184
MD5sum: 5b20793e04b5e5a6a32a07a79c237dc1
SHA1: 2ce3caf5f81c3e8a97bfa8d19da07058c4963eca
SHA256: e6a9ad1b232c5720511034a34acb51ab4ff4188d8a98a5b62ef197007f9c6376
SHA512: 4836bd5f1aac9e07d224b316d0493e9ca8f7a5ddd139ce081feff9d46e2c8c6f27be114eb8de6d277992a7ba17ac6fbda278edaadd87d665a7a7cd9459f0db90
Homepage: https://cran.r-project.org/package=rstac
Description: CRAN Package 'rstac' (Client Library for SpatioTemporal Asset Catalog)
 Provides functions to access, search and download spacetime earth
 observation data via SpatioTemporal Asset Catalog (STAC). This package
 supports the version 1.0.0 (and older) of the STAC specification
 (<https://github.com/radiantearth/stac-spec>).  For further details see
 Simoes et al. (2021) <doi:10.1109/IGARSS47720.2021.9553518>.

Package: r-cran-rstack
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rstack_1.0.1-1.ca2004.1_all.deb
Size: 42528
MD5sum: c5cc24aeb21f92eb9f075eefc22fe44a
SHA1: 1e6d444559d7ad31f1c84f258b4874069470facb
SHA256: d1a4a571def38c01a56334b73c11385e6682f2bdb5be59a14786262dcb6fb942
SHA512: 291078bf8de8c029ab5952af80aaa4e3fa236f79aba8cc0eba0fc360f22c23d3069c380283cb81b244690fe6081d2ac8fa4931dd767547a8d85729859c011fbb
Homepage: https://cran.r-project.org/package=rstack
Description: CRAN Package 'rstack' (Stack Data Type as an 'R6' Class)
 An extremely simple stack data type, implemented with 'R6' classes. The size
 of the stack increases as needed, and the amortized time complexity is O(1).
 The stack may contain arbitrary objects.

Package: r-cran-rstackdeque
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rstackdeque_1.1.1-1.ca2004.1_all.deb
Size: 155212
MD5sum: f9c02980dfce8b4ae2a406a1cb2233eb
SHA1: dbabef27f9e93168e340e80f485e7cd9366aa80b
SHA256: 0f583a9bac54fd66ae5a7589f4d1979cedcc0bf4c5b6a31719306ee0d579cae9
SHA512: eb8d93e40cb76604275af70bec497f464e45ca435aca70f417f90a8913e9f81008183d12edfb08c30f62a8a8d4c8a284fbab5707de82860b8e8740df66da1171
Homepage: https://cran.r-project.org/package=rstackdeque
Description: CRAN Package 'rstackdeque' (Persistent Fast Amortized Stack and Queue Data Structures)
 Provides fast, persistent (side-effect-free) stack, queue and deque
 (double-ended-queue) data structures. While deques include a superset of
 functionality provided by queues, in these implementations queues are more
 efficient in some specialized situations. See the documentation for rstack,
 rdeque, and rpqueue for details.

Package: r-cran-rstantools
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desc, r-cran-rcpp, r-cran-rcppparallel
Suggests: r-cran-rstan, r-cran-usethis, r-cran-testthat, r-cran-knitr, r-cran-pkgbuild, r-cran-pkgload, r-cran-roxygen2, r-cran-rmarkdown, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-rstantools_2.4.0-1.ca2004.1_all.deb
Size: 156852
MD5sum: a27a5c9b9f4eec74e57e05f21e918ce8
SHA1: ef44fd2f0a456c813651e66a9cbe0a3f45c4d57e
SHA256: e52aafc6cbc4fce9127205489965532a443fb3a7cbb5b6ad2578e1f74e6556cc
SHA512: 2cec48baa7a1ae014a308cad0f2b69f1e5ab8437a1b19ddd20924403e72ac0a542de71793007eabf9d1ef346c434f1c24197ba876c47a03c3b34a883fb3faac0
Homepage: https://cran.r-project.org/package=rstantools
Description: CRAN Package 'rstantools' (Tools for Developing R Packages Interfacing with 'Stan')
 Provides various tools for developers of R packages interfacing with 'Stan'
 <https://mc-stan.org>, including functions to set up the required package
 structure, S3 generics and default methods to unify function naming across
 'Stan'-based R packages, and vignettes with recommendations for developers.

Package: r-cran-rstantva
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1658
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstan, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-tibble, r-cran-cli, r-cran-lme4, r-cran-brms, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-rstantva_0.3.0-1.ca2004.1_all.deb
Size: 1354008
MD5sum: befd9eef4d28255143c4a89cb0762827
SHA1: 5277cdf1dd528de930175a1f1ef6bf2b424cf8c0
SHA256: c95e8e5ed4609bd66e8a0b22f52e8deac081bb07e6896baa400703902d055018
SHA512: 99787975ae218af655e0a0f4802df990f6246b59bb4d82af75701ed716e74b3a5d52bfb70ecd4e706ba77e7bc58bf268822de76692700926b883314c81fe4ee2
Homepage: https://cran.r-project.org/package=RStanTVA
Description: CRAN Package 'RStanTVA' (TVA Models in 'Stan' using 'R' and 'StanTVA')
 'Stan' implementation of the Theory of Visual Attention (TVA; Bundesen,
 1990; <doi:10.1037/0033-295X.97.4.523>) and numerous convenience functions
 for generating, compiling, fitting, and analyzing TVA models.

Package: r-cran-rstata
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-rstata_1.1.2-1.ca2004.1_all.deb
Size: 19108
MD5sum: 53c2d96ac0d1188ec84d20a4204f013b
SHA1: 5ecb98c85d7030ab9092e1c0a387203f5639791b
SHA256: 8babe26e2acc764c3556647bb4c11349cd0f455df3d5adb444ea907d86c29443
SHA512: 8cf4b1c81994995564e60d103e871e640b749c0c771b17adf28e8b7d2391fa6703006d300b13f22320e355959b935be7b23d94ed24c8c2c64aa7c2769db02aa1
Homepage: https://cran.r-project.org/package=RStata
Description: CRAN Package 'RStata' (A Bit of Glue Between R and Stata)
 A simple R -> Stata interface allowing the user to execute Stata commands
 (both inline and from a .do file) from R.

Package: r-cran-rstatix
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tidyr, r-cran-purrr, r-cran-broom, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-corrplot, r-cran-tidyselect, r-cran-car, r-cran-generics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggpubr, r-cran-emmeans, r-cran-coin, r-cran-boot, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rstatix_0.7.2-1.ca2004.1_all.deb
Size: 603348
MD5sum: 2e0e3dd6425991e5da2022fa2251c748
SHA1: 70daa095d1dc4641c95e74f83d05b8086010745c
SHA256: 7c0e4ed29766661d41a53d40c35b2608232b84e736df69c762fa8e6cd421f557
SHA512: d12f88f6970028e6b341d0e3dbc1b36beb7dc0a08fb26893999beae604749954e1d7e7e67964163d83c8ad657c3ae3e12a57a874dc57809bbb762c2bf4076651
Homepage: https://cran.r-project.org/package=rstatix
Description: CRAN Package 'rstatix' (Pipe-Friendly Framework for Basic Statistical Tests)
 Provides a simple and intuitive pipe-friendly framework, coherent with the
 'tidyverse' design philosophy, for performing basic statistical tests,
 including t-test, Wilcoxon test, ANOVA, Kruskal-Wallis and correlation
 analyses.  The output of each test is automatically transformed into a tidy
 data frame to facilitate visualization.  Additional functions are available
 for reshaping, reordering, manipulating and visualizing correlation matrix.
 Functions are also included to facilitate the analysis of factorial
 experiments, including purely 'within-Ss' designs (repeated measures),
 purely 'between-Ss' designs, and mixed 'within-and-between-Ss' designs.
 It's also possible to compute several effect size metrics, including "eta
 squared" for ANOVA, "Cohen's d" for t-test and 'Cramer V' for the
 association between categorical variables.  The package contains helper
 functions for identifying univariate and multivariate outliers, assessing
 normality and homogeneity of variances.

Package: r-cran-rstatscn
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rstatscn_1.1.3-1.ca2004.1_all.deb
Size: 32264
MD5sum: 9a9e3b8b8ef7dda66a4d1388a8fcc269
SHA1: 88c0bf04241aaff05db515658db185c8beb10753
SHA256: e98a882bab75ddbf72c7aa9529e86a1de12fb80fa7f5c6750091330d56c45ac4
SHA512: 830c2a03e25c90611d28ef3486492662e06f462b646580ab11fa116ecb0f768342ce6abda0efbeb04add638adbb762b10f19284c184ea031d78b0c1c7dba7931
Homepage: https://cran.r-project.org/package=rstatscn
Description: CRAN Package 'rstatscn' (R Interface for China National Data)
 R interface for china national data <http://data.stats.gov.cn/>, some
 convenient functions for accessing the national data are provided.

Package: r-cran-rstg
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-rstg_0.0.1-1.ca2004.1_all.deb
Size: 14404
MD5sum: 9a3b7ca2cb9bf8a2e6e15ce3123a8d43
SHA1: cdc7203351d370471aa303f3282a9b2e920b7b70
SHA256: c5d53f6c58e5ab1f43df5a0d96ae49d864dc47374c78a0a6c217b29e6d03f759
SHA512: e5502037c70d77df59e353f487316de55d64ce4c12379a15b707c3159ea5b3aa24734f228710fb47a512d0636c525ed4315f1735e59c3ddb7d009859ffe45299
Homepage: https://cran.r-project.org/package=Rstg
Description: CRAN Package 'Rstg' (STG : Feature Selection using STochastic Gates)
 'STG' is a method for feature selection in neural network. The procedure is
 based on probabilistic relaxation of the l0 norm of features, or the count
 of the number of selected features. The framework simultaneously learns
 either a nonlinear regression or classification function while selecting a
 small subset of features. Read more: Yamada et al. (2020)
 <https://proceedings.mlr.press/v119/yamada20a.html>.

Package: r-cran-rstoat
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-curl, r-cran-keyring
Suggests: r-cran-knitr, r-cran-rstudioapi, r-cran-dplyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rstoat_1.0.2-1.ca2004.1_all.deb
Size: 761360
MD5sum: 0e8c072e45f62d573b0524638528c870
SHA1: 64223873afca158d0f15502014baa18e22869cf6
SHA256: c0549d96b98ea57c6798363d1809d90b206473af8b35cbe5a987be8fe4d9a63c
SHA512: e0db7c083ec06b1faff4ee7d621a52ec2abc2f4cdf050b6242b05517006a2188526cabb33a2d530216201e71ab91c517371caf36d673a27e21c1889174efea25
Homepage: https://cran.r-project.org/package=rstoat
Description: CRAN Package 'rstoat' (R Interface to the 'STOAT' Platform)
 A wrapper for the 'Spatiotemporal Observation Annotation Tool' ('STOAT',
 <https://www.mol.org/stoat>) which allows users to run annotation jobs and
 retrieve results in the R environment.

Package: r-cran-rstorm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-rstorm_1.0-1.ca2004.1_all.deb
Size: 77560
MD5sum: dc90178ba06690a15a033059e7fbf35c
SHA1: 6d9d34823a19442a9e551b3ad4954d16dfbe6d96
SHA256: 4f2c94432a03eb88e28d3dc8f7a63cc8b444f9ba55b7b756b37902a043dc9e6a
SHA512: e023c8476ee0d1c382225d61e9c1b2abd0fda4e1d4d9abebfe1a52f4ce8f194f6f54a186b3be84cb72ce8f81ca5270589db9460ee28bb171bcf2d6ba0baf6956
Homepage: https://cran.r-project.org/package=RStorm
Description: CRAN Package 'RStorm' (Simulate and Develop Streaming Processing)
 While streaming processing provides opportunities to deal with extremely
 large and ever growing data sets in (near) real time, the development of
 streaming algorithms for complex models is often cumbersome: the software
 packages that facilitate streaming processing in production environments do
 not provide statisticians with the simulation, estimation, and plotting
 tools they are used to. Developers of streaming algorithms would thus
 benefit from the flexibility of [R] to create, plot and compute data while
 developing streaming algorithms. Package RStorm implements a streaming
 architecture modeled on Storm for easy development and testing of streaming
 algorithms in [R]. RStorm is not intended as a production package, but
 rather a development tool for streaming algorithms.

Package: r-cran-rstrava
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-ggspatial, r-cran-googleway, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-maptiles, r-cran-rvest, r-cran-tidyr, r-cran-tidyterra, r-cran-xml, r-cran-xml2, r-cran-purrr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rstrava_1.3.2-1.ca2004.1_all.deb
Size: 563792
MD5sum: c1a30c54f4f2fb7fc3b88741ab54732f
SHA1: befaa44429386acff830c0fd74258c8290840b07
SHA256: 1121e0daeca2eea63859fd9d436d980200e75452306475a89d29cc2c44999966
SHA512: 51c8b098280248ad1d42b919e44b7b274e4684b724b87fc46235005a697e012ca95a39287917b9850c43feb0fa88d580f42f1bf78c64e9f864a9c1e1e3d78336
Homepage: https://cran.r-project.org/package=rStrava
Description: CRAN Package 'rStrava' (Access the 'Strava' API)
 Functions to access data from the 'Strava v3 API'
 <https://developers.strava.com/>.

Package: r-cran-rstripe
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-rcurl, r-cran-httr
Filename: pool/dists/focal/main/r-cran-rstripe_0.1-1.ca2004.1_all.deb
Size: 158004
MD5sum: 9b64ef9666d80c2e4686a5ad74609efc
SHA1: 22310fbaefddca9d68ad0396f16e897f283a5e46
SHA256: 88ade9f654aaa588f25340ff35425fd43c7880ab5252aa926265120c388854cb
SHA512: fb041948a415cf7a876b7369d5755a301320de7493e81eb8acc22332c9ab0785440ffd1ae723274b9e0a0643fccb5428a5e85fb60d1c7cdbff13dc932c1cdfe1
Homepage: https://cran.r-project.org/package=RStripe
Description: CRAN Package 'RStripe' (A Convenience Interface for the Stripe Payment API)
 A convenience interface for communicating with the Stripe payment processor
 to accept payments online. See <https://stripe.com> for more information.

Package: r-cran-rstudio.prefs
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-fs, r-cran-jsonlite, r-cran-purrr, r-cran-rappdirs, r-cran-rlang, r-cran-rstudioapi, r-cran-rvest, r-cran-tibble
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rstudio.prefs_0.1.9-1.ca2004.1_all.deb
Size: 59180
MD5sum: d0f0f11db3ba21dd7547242e5bb8cc3e
SHA1: 7f1611cd02f0da1656efdac27c15a07ebd34a0a6
SHA256: 56f40548f5bc1aaf9f8108871a3ab4c679e420d512453df9b6c5b4f66271dd1e
SHA512: edef7086b86d0f21a29c665f5a7451b404d7d9469549df24fdf422aecae06bd08bbf8e0e3b215ae84681475d3210e7e7636889b20629c05bdf1b53e859b6ce0b
Homepage: https://cran.r-project.org/package=rstudio.prefs
Description: CRAN Package 'rstudio.prefs' (Set 'RStudio' Preferences)
 As of 'RStudio' v1.3, the preferences in the Global Options dialog (and a
 number of other preferences that aren’t) are now saved in simple, plain-text
 JSON files. This package provides an interface for working with these
 'RStudio' JSON preference files to easily make modifications without using
 the point-and-click option menus. This is particularly helpful when working
 on teams to ensure a unified experience across machines and utilizing
 settings for best practices.

Package: r-cran-rstudioapi
Architecture: all
Version: 0.17.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-clipr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rstudioapi_0.17.1-1.ca2004.1_all.deb
Size: 300788
MD5sum: fbd311fdc860f28eb879546e043d425d
SHA1: 06ca88671b7706faeb8e9f0489be9570dddbf333
SHA256: f4992320b8e1a5635b14d88d760cb90380da39d71a640dfe61885b4d7d16f9d8
SHA512: 3b6b407c7a283e28d9041daa60b71777df250a25cc2bcfdc9816ca1fb1fab71783e06ba2b623148f39f621cc4281bd423553b992f977291d7244f3c5131eba5f
Homepage: https://cran.r-project.org/package=rstudioapi
Description: CRAN Package 'rstudioapi' (Safely Access the RStudio API)
 Access the RStudio API (if available) and provide informative error messages
 when it's not.

Package: r-cran-rsubgroup
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2980
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-rsubgroup_1.1-1.ca2004.1_all.deb
Size: 2669296
MD5sum: 99ca3f2bf85bbb83f49efe57f70e6717
SHA1: 56ee4194887fc52bdaf53fe5fb52c0508a0387b7
SHA256: 9558e4e643f89b3bc1ed2574d0fa3a2fe9db87dc2d8ca2d5b0331442772f8ff1
SHA512: 17cd444f04b13d1c46fd3a8d1630b88bda18ef518c78d46914e96651e40053e044326c1b60585ad99fd361ce1df838c0272f67b0c58c3419699a6a7f36f8a948
Homepage: https://cran.r-project.org/package=rsubgroup
Description: CRAN Package 'rsubgroup' (Subgroup Discovery and Analytics)
 A collection of efficient and effective tools and algorithms for subgroup
 discovery and analytics. The package integrates an R interface to the
 org.vikamine.kernel library of the VIKAMINE system <http://www.vikamine.org>
 implementing subgroup discovery, pattern mining and analytics in Java.

Package: r-cran-rsurface
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotly, r-cran-rsm
Filename: pool/dists/focal/main/r-cran-rsurface_1.1.0-1.ca2004.1_all.deb
Size: 31352
MD5sum: 5a2aec4837f0a8841f91bc43011df0af
SHA1: 18bdc21cb1c057b817494e89d28acd50cb539e5f
SHA256: 5c12fcae7493506f443383e1f666cdfc78ac747274f9cda6472b64214cae1241
SHA512: 8112f8c44f038f28dd8c543420d9b7df53dbd4d9cb3bee48cfcb8c8275ee310448528e525511549e746f8a5460ab748172cc81dcaa6bd704115e79e5fa64cf75
Homepage: https://cran.r-project.org/package=rsurface
Description: CRAN Package 'rsurface' (Design of Rotatable Central Composite Experiments and ResponseSurface Analysis)
 Produces tables with the level of replication (number of replicates) and the
 experimental uncoded values of the quantitative factors to be used for
 rotatable Central Composite Design (CCD) experimentation and a 2-D contour
 plot of the corresponding variance of the predicted response according to
 Mead et al. (2012) <doi:10.1017/CBO9781139020879> design_ccd(), and analyzes
 CCD data with response surface methodology ccd_analysis(). A rotatable CCD
 provides values of the variance of the predicted response that are
 concentrically distributed around the average treatment combination used in
 the experimentation, which with uniform precision (implied by the use of
 several replicates at the average treatment combination) improves greatly
 the search and finding of an optimum response.  These properties of a
 rotatable CCD represent undeniable advantages over the classical factorial
 design, as discussed by Panneton et al. (1999) <doi:10.13031/2013.13267> and
 Mead et al. (2012) <doi:10.1017/CBO9781139020879.018> among others.

Package: r-cran-rsurfer
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-gdata
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsurfer_0.2-1.ca2004.1_all.deb
Size: 204236
MD5sum: e7df911dfc27880423c68c956e7ab132
SHA1: 46f218af316a780043966fcf494045a114bccbf6
SHA256: a6656a61dbffc06bf083fc4919bd1e1f2985005257514e6ca9e1acb4674422a3
SHA512: f63842c6c38e3f6f00148747d528d4ea2a62cb0a2fb408664e6385d7c08c5cb1034b5b6ae1f9e0e1ef584252b057512e54ad679a2c9b766806984c23cebaf2b9
Homepage: https://cran.r-project.org/package=rsurfer
Description: CRAN Package 'rsurfer' (Manipulating 'Freesurfer' Generated Data)
 The software suite, 'Freesurfer', is a open-source software suite involving
 the segmentation of brain MRIs (see <http://freesurfer.net/> for more
 information). This package provides functionality to import the data
 generated by 'Freesurfer'; functions to easily manipulate the data; and
 provides brain specific normalisation commonly used when studying structural
 brain MRIs. This package has been designed using an installation of and data
 generated from 'Freesurfer' version 5.3.

Package: r-cran-rsurrogate
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rsurrogate_3.2-1.ca2004.1_all.deb
Size: 385912
MD5sum: a5c01f32ddff5209475543d0ebe7b63d
SHA1: 7a8e3d5889ae691b86fe8efa8d82508c66db3a20
SHA256: a47dc56070b3caabde3103c183d925d6b5386841aadb98215341b55c5f7d8b55
SHA512: 2f867ac72e07a1d7b11e25ecb63a10744031106c045b505bebe7301ec0aa9cbb8c5b87ce0a819c8567f2b91ed0f953dcf851e3fb6383d155e6ddf77a40062162
Homepage: https://cran.r-project.org/package=Rsurrogate
Description: CRAN Package 'Rsurrogate' (Robust Estimation of the Proportion of Treatment EffectExplained by Surrogate Marker Information)
 Provides functions to estimate the proportion of treatment effect on the
 primary outcome that is explained by the treatment effect on the surrogate
 marker.

Package: r-cran-rsurv
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bellreg, r-cran-dplyr, r-cran-mass, r-cran-rdpack, r-cran-stabledist
Suggests: r-cran-copula, r-cran-flexsurv, r-cran-frailtyem, r-cran-ggally, r-cran-knitr, r-cran-lambertw, r-cran-rmarkdown, r-cran-survival, r-cran-survstan, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsurv_0.0.2-1.ca2004.1_all.deb
Size: 100148
MD5sum: 494ac0f95fb73939fdf355585d54a7c3
SHA1: a2450165bc4490fe27753577d97092e76947fd9b
SHA256: 2b2d52770665beb6f16e5317daa945a92831f75ca042e06898e1c266c29f72f3
SHA512: 26f31723b9d4dd42c5de86a19fd45b37fd828835a543e3a3f4ef23b9b0137773fc1b993a4f3cbc67b6c1f8e632b9ca0478d768896ca57564300c81975590b5b3
Homepage: https://cran.r-project.org/package=rsurv
Description: CRAN Package 'rsurv' (Random Generation of Survival Data)
 Random generation of survival data from a wide range of regression models,
 including accelerated failure time (AFT), proportional hazards (PH),
 proportional odds (PO), accelerated hazard (AH), Yang and Prentice (YP), and
 extended hazard (EH) models. The package 'rsurv' also stands out by its
 ability to generate survival data from an unlimited number of baseline
 distributions provided that an implementation of the quantile function of
 the chosen baseline distribution is available in R. Another nice feature of
 the package 'rsurv' lies in the fact that linear predictors are specified
 via a formula-based approach, facilitating the inclusion of categorical
 variables and interaction terms. The functions implemented in the package
 'rsurv' can also be employed to simulate survival data with more complex
 structures, such as survival data with different types of censoring
 mechanisms, survival data with cure fraction, survival data with random
 effects (frailties), multivariate survival data, and competing risks
 survival data. Details about the R package 'rsurv' can be found in Demarqui
 (2024) <doi:10.48550/arXiv.2406.01750>.

Package: r-cran-rsurveillance
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-epitools, r-cran-epir, r-cran-mc2d
Filename: pool/dists/focal/main/r-cran-rsurveillance_0.2.1-1.ca2004.1_all.deb
Size: 171776
MD5sum: 57c4a9df7404c26d26daad1dce24b11c
SHA1: 3cbbfbea18977db9219309be196d82cf12f2c252
SHA256: 3ebc25f742663b8f6c42312107ab4106c15b7175d5dc0dc5a07caa1960d8062a
SHA512: 0e3bc92db37fdf99d1421726480b1f161ca3f4faf7b0f2e0f405d5fef161ef93e5e6d88b0e39464fccc42480e2b367ceda3fc095489adaa926a796416f6bb7bd
Homepage: https://cran.r-project.org/package=RSurveillance
Description: CRAN Package 'RSurveillance' (Design and Analysis of Disease Surveillance Activities)
 A range of functions for the design and analysis of disease surveillance
 activities. These functions were originally developed for animal health
 surveillance activities but can be equally applied to aquatic animal,
 wildlife, plant and human health surveillance activities. Utilities are
 included for sample size calculation and analysis of representative surveys
 for disease freedom, risk-based studies for disease freedom and for
 prevalence estimation.  This package is based on Cameron A., Conraths F.,
 Frohlich A., Schauer B., Schulz K., Sergeant E., Sonnenburg J., Staubach C.
 (2015). R package of functions for risk-based surveillance. Deliverable
 6.24, WP 6 - Decision making tools for implementing risk-based surveillance,
 Grant Number no. 310806, RISKSUR
 (<https://www.fp7-risksur.eu/sites/default/files/documents/Deliverables/RISKSUR_%28310806%29_D6.24.pdf>).
 Many of the 'RSurveillance' functions are incorporated into the 'epitools'
 website: Sergeant, ESG, 2019. Epitools epidemiological calculators.  Ausvet
 Pty Ltd. Available at: <http://epitools.ausvet.com.au>.

Package: r-cran-rsurvey
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-inlmisc, r-cran-mba, r-cran-raster, r-cran-rgdal, r-cran-rgeos, r-cran-sp
Suggests: r-cran-dichromat, r-cran-leaflet, r-cran-rgl, r-cran-xml
Filename: pool/dists/focal/main/r-cran-rsurvey_0.9.3-1.ca2004.1_all.deb
Size: 698648
MD5sum: f4fca373656ec891073c4ed1c055c8ef
SHA1: 2f2a6ff37527f4d734735932c260c23d0197eddf
SHA256: e54ad17090ee821f636952fcbe9109c2de471bea638d8851e100b7aef23e66bb
SHA512: 25d79fa8aadb2d45c9078e7c5cf45c5b8344fdfa763195658bec0cd316220afc9d82c6fea5d3fc8b4cdc1c7dd332e311eab2978ceb1c0a512594838d41ce8e78
Homepage: https://cran.r-project.org/package=RSurvey
Description: CRAN Package 'RSurvey' (Geographic Information System Application)
 A geographic information system (GIS) graphical user interface (GUI) that
 provides data viewing, management, and analysis tools.

Package: r-cran-rsurveycto
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-data.table, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-readxl, r-cran-rlang, r-cran-vctrs, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsurveycto_0.2.2-1.ca2004.1_all.deb
Size: 75448
MD5sum: 73ea152fd620885721b8bc9d73440c0e
SHA1: 22cb620835f2cac75a8e94d0fddb44b9eb268fac
SHA256: 082ea0855637d3a1b33382dc3364b86868213bafcac5b8e8b51cbc34729f5ca1
SHA512: 2fd7f56a62b060fbb0d854a2d94f3590d8ce8ba59ee96a88ad8ca64a093bf146175b0d5bd6900ceba2fe3f7c9a4dc9816eaa0c00c6403bd772e3f42441622355
Homepage: https://cran.r-project.org/package=rsurveycto
Description: CRAN Package 'rsurveycto' (Interact with Data on 'SurveyCTO')
 'SurveyCTO' is a platform for mobile data collection in offline settings.
 The 'rsurveycto' R package uses the 'SurveyCTO' REST API
 <https://docs.surveycto.com/05-exporting-and-publishing-data/05-api-access/01.api-access.html>
 to read datasets and forms from a 'SurveyCTO' server into R as 'data.table's
 and to download file attachments. The package also has limited support to
 write datasets to a server.

Package: r-cran-rsvd
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3535
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsvd_1.0.5-1.ca2004.1_all.deb
Size: 3584124
MD5sum: 4b3f185642c50a8e0469d571dcd9ce08
SHA1: 447bd3dfff0c1a558ac48c4c7cefc55656527227
SHA256: 9a76cc0d23f8fbf2619284a0841365fc00178d61b8a484ab4432ed8e5bf92f2b
SHA512: 1a3b996b83970de053a5c9736f6b1339d29a7bc06dde2a8c0c1b931a9e3c5ae7442a8ed6d7b722d5d7e588b06a1ab6dac72e013448433e19a7ca9fe344a5768d
Homepage: https://cran.r-project.org/package=rsvd
Description: CRAN Package 'rsvd' (Randomized Singular Value Decomposition)
 Low-rank matrix decompositions are fundamental tools and widely used for
 data analysis, dimension reduction, and data compression. Classically,
 highly accurate deterministic matrix algorithms are used for this task.
 However, the emergence of large-scale data has severely challenged our
 computational ability to analyze big data.  The concept of randomness has
 been demonstrated as an effective strategy to quickly produce approximate
 answers to familiar problems such as the singular value decomposition (SVD).
 The rsvd package provides several randomized matrix algorithms such as the
 randomized singular value decomposition (rsvd), randomized principal
 component analysis (rpca), randomized robust principal component analysis
 (rrpca), randomized interpolative decomposition (rid), and the randomized
 CUR decomposition (rcur). In addition several plot functions are provided.

Package: r-cran-rswissmaps
Architecture: all
Version: 0.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1943
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-downloader
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rswissmaps_0.1.0.1-1.ca2004.1_all.deb
Size: 1489028
MD5sum: 4112e6b20f255817b9c75f5689da0798
SHA1: 73313ac2a55b8d2fcbc8d952d000761f624f87e8
SHA256: 022d797e80f6a0a56cb5dcc4c74191bbae2d96bad97206384c5dc6e7c07554bc
SHA512: 53975b95bb79a8274095d05d35edfca1b9256fca0ca5d881e1daa3f196622b316bc43e3f0d670b88fd4fde09b0b0f92c8340ec25e7bcd3383ce549f09e9e0e43
Homepage: https://cran.r-project.org/package=RSwissMaps
Description: CRAN Package 'RSwissMaps' (Plot and Save Customised Swiss Maps)
 Allows to link data to Swiss administrative divisions (municipalities,
 districts, cantons) and to plot and save customised maps thereof.
 Furthermore, the package allows to generate tailored templates for data
 collection.  The used geodata is publicly available on the Swiss Federal
 Statistical Office website
 <https://www.bfs.admin.ch/bfs/de/home/dienstleistungen/geostat/geodaten-bundesstatistik.html>.

Package: r-cran-rsyncrosim
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1110
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-terra, r-cran-gtools, r-cran-processx
Suggests: r-cran-knitr, r-cran-testthat, r-cran-ggplot2, r-cran-rcpp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rsyncrosim_2.1.2-1.ca2004.1_all.deb
Size: 684580
MD5sum: 6838570267a3a0146cea5439d3d4d40f
SHA1: 9cf2c5dc31d744a4c7d9fa1be4f71a104c6f47c2
SHA256: 0b0cd70837444b58d7bae8ac3896af0c4daf69dfd9e89aeba22fdcfbbc535abd
SHA512: 2553e7bcba7607d730d1a36213e45bd7e97de69df2f3cc331d9730ed7667adf6c7038de61280f2b52cec3e0be485d1f90c66bf99d0924cf0877a82067572bab4
Homepage: https://cran.r-project.org/package=rsyncrosim
Description: CRAN Package 'rsyncrosim' (The R Interface to 'SyncroSim')
 'SyncroSim' is a generalized framework for managing scenario-based datasets
 (<https://syncrosim.com/>). 'rsyncrosim' provides an interface to
 'SyncroSim'. Simulation models can be added to 'SyncroSim' in order to
 transform these datasets, taking advantage of general features such as
 defining scenarios of model inputs, running Monte Carlo simulations, and
 summarizing model outputs. 'rsyncrosim' requires 'SyncroSim' 2.3.5 or higher
 (API documentation: <https://docs.syncrosim.com/>).

Package: r-cran-rsyntax
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 464
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-tidyselect, r-cran-stringi, r-cran-digest, r-cran-rlang, r-cran-magrittr, r-cran-tokenbrowser, r-cran-base64enc, r-cran-png, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rsyntax_0.1.4-1.ca2004.1_all.deb
Size: 418332
MD5sum: 63d473c669a83098d5a959ba66dfcf26
SHA1: a011f6322e8e0792973b84ca2ae52c097ffd1b10
SHA256: 4d4a402140171373d0452ad82df1a5aba67a1396e48f4d6d584762a4303cf25b
SHA512: ed421b84cd0928c1703ed15274ae36a7b1ea013a892b4fd1066616e600dda3799619e1ac5692d5c2ad9f94f2cdb3eaa90e13cd830493ed24f8ece86207ae716c
Homepage: https://cran.r-project.org/package=rsyntax
Description: CRAN Package 'rsyntax' (Extract Semantic Relations from Text by Querying and ReshapingSyntax)
 Various functions for querying and reshaping dependency trees, as for
 instance created with the 'spacyr' or 'udpipe' packages.  This enables the
 automatic extraction of useful semantic relations from texts, such as quotes
 (who said what) and clauses (who did what). Method proposed in Van Atteveldt
 et al. (2017) <doi:10.1017/pan.2016.12>.

Package: r-cran-rsynthbio
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-getpass, r-cran-keyring, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-rsynthbio_2.0.0-1.ca2004.1_all.deb
Size: 51288
MD5sum: 416715cef88ae36331f24f79f226dae6
SHA1: 216a579eda2bf5ca44ee6cbacf5fee67a440f3ec
SHA256: 386fb2477683a5fce36b6c7cb4ce132d5be1437b32a757e2e252d287358f2d71
SHA512: a6db712b00f67f0f47a11d28ec492afc1f1dc64d33fc810771b28178da278354211411b8cf15e583af6d5c1f9c8ed8134ec394ce7c4587a1b1911684ca714db0
Homepage: https://cran.r-project.org/package=rsynthbio
Description: CRAN Package 'rsynthbio' (Synthesize Bio API Wrapper)
 Access Synthesize Bio models from their API <https://app.synthesize.bio/>
 using this wrapper that provides a convenient interface to the Synthesize
 Bio API, allowing users to generate realistic gene expression data based on
 specified biological conditions. This package enables researchers to easily
 access AI-generated transcriptomic data for various modalities including
 bulk RNA-seq, single-cell RNA-seq, microarray data, and more.

Package: r-cran-rt.test
Architecture: all
Version: 1.18.7.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rt.test_1.18.7.9-1.ca2004.1_all.deb
Size: 605288
MD5sum: 2338bfe91cfc6c1ab5f994701e2b589e
SHA1: fc2d2bf4fa37b64f6a3820eda3dd1be4e059b897
SHA256: 9a5e863947611cc2b80ce8341963d3fd5eb609699c490a2a71556db3bba55fb4
SHA512: 8cab8fead40f33e3112ebe4677f1dad1755b0b10f6216fc7aa0f0afd667028d7626712291b21c61d91d154011b908a43dd925a76f56b3e342f1ac995853a00d3
Homepage: https://cran.r-project.org/package=rt.test
Description: CRAN Package 'rt.test' (Robustified t-Test)
 Performs one-sample t-test based on robustified statistics using median/MAD
 (TA) and Hodges-Lehmann/Shamos (TB). For more details, see Park and Wang
 (2018)<arXiv:1807.02215>. This work was partially supported by the National
 Research Foundation of Korea (NRF) grant funded by the Korea government (No.
 NRF-2017R1A2B4004169).

Package: r-cran-rt3
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rt3_0.1.2-1.ca2004.1_all.deb
Size: 30580
MD5sum: b44ae858e34c3d5b9f0b4d70489872e9
SHA1: cf3044061821c1af51dbb33c2c7a16b0339a7441
SHA256: c07e37a6b02e1ef7de6fc0b96328541a9e69cb584db2b363962566820b35dda7
SHA512: 5a45a6704762613b4858eaac4502bdf1b095a21bc8bb74be89c11af8381088b235d6ecb39bdaefe9e1af0fc79e5bbc57b7d1fa123843d9ef1667be57e822613b
Homepage: https://cran.r-project.org/package=rt3
Description: CRAN Package 'rt3' (Tic-Tac-Toe Package for R)
 Play the classic game of tic-tac-toe (naughts and crosses).

Package: r-cran-rt
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-stringr
Suggests: r-cran-askpass, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rt_1.1.0-1.ca2004.1_all.deb
Size: 113832
MD5sum: 4006b0efdb430d90b0cf2fe908a39591
SHA1: 68cbd45591ce82b5162bf86b40639d34f118460f
SHA256: bb249af0665a17ec6fe2cf76f5cf3176ea99bae5e58397726a9fc84cada3e12c
SHA512: 26c219a356520b7f0cf77d3a8dc2b828514a855fc399d4b280cf1e2f62318b3051729dd18db55bbebfb1aba06de504e2518af05be65fea63d9b5752e4bcab9e2
Homepage: https://cran.r-project.org/package=rt
Description: CRAN Package 'rt' (Interface to the 'Request Tracker' API)
 Provides a programmatic interface to the 'Request Tracker' (RT) HTTP API
 <https://rt-wiki.bestpractical.com/wiki/REST>. 'RT' is a popular ticket
 tracking system.

Package: r-cran-rtableicc
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-partitions, r-cran-aster
Filename: pool/dists/focal/main/r-cran-rtableicc_1.0.9-1.ca2004.1_all.deb
Size: 107008
MD5sum: d641f81aacdbeb675309023fe92bb559
SHA1: 75976743a99bec24cd52ed45ec4436676e0c8b4e
SHA256: fa1e01bc7ce50c4792b60ecd7ec040da4ac24c6fe09bc4662389ee061c8b965a
SHA512: 61c3a904511386e79bd4af3be690e93c55eb537973e07c17b73ec640448cec91adeb4d1f657e98e4451e4714c10eddb2b68c673122865e45c267b5769d9b3ac0
Homepage: https://cran.r-project.org/package=rTableICC
Description: CRAN Package 'rTableICC' (Random Generation of Contingency Tables)
 Contains functions for random generation of R x C and 2 x 2 x K contingency
 tables. In addition to the generation of contingency tables over
 predetermined intraclass-correlated clusters, it is possible to generate
 contingency tables without intraclass correlations under product
 multinomial, multinomial, and Poisson sampling plans. It also consists of a
 function for generation of random data from a given discrete probability
 distribution function. See Demirhan (2016)
 <https://journal.r-project.org/archive/2016-1/demirhan.pdf> for more
 information.

Package: r-cran-rtables.officer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3370
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formatters, r-cran-magrittr, r-cran-rlistings, r-cran-rtables, r-cran-checkmate, r-cran-flextable, r-cran-lifecycle, r-cran-officer, r-cran-stringi
Suggests: r-cran-broom, r-cran-car, r-cran-dplyr, r-cran-knitr, r-cran-r2rtf, r-cran-rmarkdown, r-cran-survival, r-cran-tern, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rtables.officer_0.1.0-1.ca2004.1_all.deb
Size: 2363004
MD5sum: 5ffc543f6d680337813f1acdaf1df716
SHA1: 75c1b8118d9e4444bde486bcf1bef6b3a05a251b
SHA256: 01fe5aa05adcc5860ea079946dfc1800f28ea11fa4f114ca65cbc5d0b9549c7d
SHA512: d8e55d063b929832cb2a9c43b62ae88284a8c8cd404926b0dbe312a2f69c57c00ee877b0cd084a2fb37eb16856a423b2c414979d7080570abe7c6c243246fcbd
Homepage: https://cran.r-project.org/package=rtables.officer
Description: CRAN Package 'rtables.officer' (Exporting Tools for 'rtables')
 Designed to create and display complex tables with R, the 'rtables' R
 package allows cells in an 'rtables' object to contain any high-dimensional
 data structure, which can then be displayed with cell-specific formatting
 instructions. Additionally, the 'rtables.officer' package supports export
 formats related to the Microsoft Office software suite, including Microsoft
 Word ('docx') and Microsoft PowerPoint ('pptx').

Package: r-cran-rtables
Architecture: all
Version: 0.6.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4370
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-formatters, r-cran-magrittr, r-cran-checkmate, r-cran-htmltools, r-cran-lifecycle, r-cran-stringi
Suggests: r-cran-broom, r-cran-car, r-cran-dplyr, r-cran-knitr, r-cran-lme4, r-cran-r2rtf, r-cran-rmarkdown, r-cran-survival, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-rtables_0.6.13-1.ca2004.1_all.deb
Size: 1931224
MD5sum: 17045100ce8b3647ef8981d7646416f1
SHA1: fb14a302222f3147d6c41f1e331837bd6fb2580e
SHA256: db37ad681daecba67da926c53c4ad910924e5c1f80dcb9c4446b312ccb70db81
SHA512: 860ec8d19fdb279ee55ed3886956b4d00ecb142c220a215b46d491fe2f509b285c912ce48e5bbafdce6363ecb62e16f85e30bb9061d1fdb23840a74e268684f6
Homepage: https://cran.r-project.org/package=rtables
Description: CRAN Package 'rtables' (Reporting Tables)
 Reporting tables often have structure that goes beyond simple rectangular
 data. The 'rtables' package provides a framework for declaring complex
 multi-level tabulations and then applying them to data. This framework
 models both tabulation and the resulting tables as hierarchical, tree-like
 objects which support sibling sub-tables, arbitrary splitting or grouping of
 data in row and column dimensions, cells containing multiple values, and the
 concept of contextual summary computations. A convenient pipe-able interface
 is provided for declaring table layouts and the corresponding computations,
 and then applying them to data.

Package: r-cran-rtabulator
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 957
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-purrr, r-cran-readr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-rtabulator_0.1.2-1.ca2004.1_all.deb
Size: 214340
MD5sum: 34e639985e2d8e9c4757a039010c9345
SHA1: 96f967c9ba45212b5715c390131e0ad8025ce990
SHA256: a2e079f91146a15eea51765b0fcf2e32f78a0310b1c11406efe652115708f760
SHA512: c2d4ebbe9705580efbaa0e53716bf449439925256cc278a4024e5834e77700e74306022cc46f3307bf3edecd4c18eca741176df21e64c70a1cf9971cb8e8ab50
Homepage: https://cran.r-project.org/package=rtabulator
Description: CRAN Package 'rtabulator' (R Bindings for 'Tabulator JS')
 Provides R bindings for 'Tabulator JS' <https://tabulator.info/>.  Makes it
 a breeze to create highly customizable interactive tables in 'rmarkdown'
 documents and 'shiny' applications. It includes filtering, grouping,
 editing, input validation, history recording, column formatters, packaged
 themes and more.

Package: r-cran-rtapas
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-phytools, r-cran-ape, r-cran-distory, r-cran-paco, r-cran-parallelly, r-cran-stringr, r-cran-vegan
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtapas_1.2-1.ca2004.1_all.deb
Size: 1609668
MD5sum: 83176339ec62b08718a15e0906f3c32a
SHA1: 4811a5fdecfaebf23d0a5ffcfa9dcd7793ab7fd7
SHA256: 00d587075f5f198c027d17ebd5684293dff4628e56b31250a0c427f5a734b0d7
SHA512: 311d049a9e03512873a34efe30fbda01ac7108aa4dda04717d88a0543e5e244fc8ede16e77b6afccbfd5ef296f5bb6b96581a6188080e3fa6a02af5ba9854b3d
Homepage: https://cran.r-project.org/package=Rtapas
Description: CRAN Package 'Rtapas' (Random Tanglegram Partitions)
 Applies a given global-fit method to random partial tanglegrams of a fixed
 size to identify the associations, terminals, and nodes that maximize
 phylogenetic (in)congruence. It also includes functions to compute more
 easily the confidence intervals of classification metrics and plot results,
 reducing computational time.  See Llaberia-Robledillo et al., (2023)
 <doi:10.1093/sysbio/syad016>.

Package: r-cran-rtape
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtape_2.2-1.ca2004.1_all.deb
Size: 33512
MD5sum: 71ef8d7d5b47ad28be6423c76bf962ef
SHA1: 12399c771035f9844a487c75dbb83979dfedc1a4
SHA256: c428782af61017161fb2dbf33e17415a030c05cb27797e8a2ff2fb14756d38bf
SHA512: 0d6790f1ec1819d7ed58fbca8447a87d7e03e1324b9b7967d3bf2655ca037f7b9563635fc338862fe31340309bdb80659e839250686b4caa1448d985543afc0f
Homepage: https://cran.r-project.org/package=rtape
Description: CRAN Package 'rtape' (Manage and manipulate large collections of R objects stored astape-like files)
 Storing huge data in RData format causes problems because of the necessity
 to load the whole file to the memory in order to access and manipulate
 objects inside such file; rtape is a simple solution to this problem. The
 package contains several wrappers of R built-in serialize/unserialize
 mechanism allowing user to quickly append objects to a tape-like file and
 later iterate over them requiring only one copy of each stored object to
 reside in memory a time.

Package: r-cran-rtauchen
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtauchen_1.0-1.ca2004.1_all.deb
Size: 13768
MD5sum: 12f5e21fbf0eefab312c483b1070a3a7
SHA1: d910e7a98cfc177d549ebc2f096eafbcd2b5d409
SHA256: b2acff058c377f4021c77b52d428ed75596bf08c8abfaed66cf06745d6229347
SHA512: 797b6b7988ed4c7ff1a204431ffbf78bd455c458a60e17f7645c8bf3e8d9b055c133faa271e86d714ebf62fb247ddf99c56df860cc604703203dcaaae048ec20
Homepage: https://cran.r-project.org/package=Rtauchen
Description: CRAN Package 'Rtauchen' (Discretization of AR(1) Processes)
 Discretize AR(1) process following Tauchen (1986)
 <http://www.sciencedirect.com/science/article/pii/0165176586901680>. A
 discrete Markov chain that approximates in the sense of weak convergence a
 continuous-valued univariate Autoregressive process of first order is
 generated. It is a popular method used in economics and in finance.

Package: r-cran-rtaxometrics
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtaxometrics_3.2.1-1.ca2004.1_all.deb
Size: 181644
MD5sum: 5737b954b378bc3047afee78f583a58f
SHA1: e269eaeeac1dc880213bf22aa610227f3f139ea7
SHA256: 37a6e7623e4ed0e1a9fd80e078ef4e15e2b671b2e4a0d60208a3ec5865598ca3
SHA512: c40d172442f87839985db0ab8470750a0ef0b6152d6bed93a0a92f367e23d88ca249d966a6bf8166e681f2186e0b0fdf69e86b10cf8919970b14102e4292778d
Homepage: https://cran.r-project.org/package=RTaxometrics
Description: CRAN Package 'RTaxometrics' (Taxometric Analysis)
 We provide functions to perform taxometric analyses. This package contains
 46 functions, but only 5 should be called directly by users. CheckData()
 should be run prior to any taxometric analysis to ensure that the data are
 appropriate for taxometric analysis. RunTaxometrics() performs taxometric
 analyses for a sample of data. RunCCFIProfile() performs a series of
 taxometric analyses to generate a CCFI profile. CreateData() generates a
 sample of categorical or dimensional data. ClassifyCases() assigns cases to
 groups using the base-rate classification method.

Package: r-cran-rtconnect
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtconnect_0.1.4-1.ca2004.1_all.deb
Size: 41280
MD5sum: bb3e07b8b73eb6172f836f5d032a8112
SHA1: e811e8739dcd11a2cc957734edbfe80c7d773e70
SHA256: 8d7692f983e7df7dead0ce3c0dfbff379bf3e47513f7b74de5685eddd119d4be
SHA512: 150c820c657950f9f3536fb8ae8273d2c86483a3a51cf53b13e50a9a34a5b5dea6c94f6ca2d6e10c9619b99929a7a29cf1d5360114a6ba5a4e3d7479e3ee0086
Homepage: https://cran.r-project.org/package=RTConnect
Description: CRAN Package 'RTConnect' (Tools for analyzing sales report files of iTunes Connect)
 Tools for analyzing sales report files of iTunes Connect.

Package: r-cran-rtcrbcrr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1439
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-readr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rtcrbcrr_0.1.1-1.ca2004.1_all.deb
Size: 1356896
MD5sum: ad50ab023494ad4fd1040621fd139912
SHA1: 12a3cb6c0e93b331df2ea5e67048e2593c92ccff
SHA256: c2fa288d8484fe78325bf1ed782f1728a6213495df65cb85ccbda1e57b5d3a9c
SHA512: bb0ef41d4209dd31ed95b510d8af982b0e063ed80a9a81970b2dc50c22d75b8fa250ef033b89feeb6ea37af1c442a6dd067abfa9962adc016ead5e965e7963f4
Homepage: https://cran.r-project.org/package=rTCRBCRr
Description: CRAN Package 'rTCRBCRr' (Repertoire Analysis of the Detected Clonotype)
 The 'TRUST4' or 'MiXCR' is used to identify the clonotypes.  The goal of
 'rTCRBCRr' is to process the results from these clonotyping tools, and
 analyze the clonotype repertoire metrics based on chain names and IGH
 isotypes.  The manuscript is still under preparation for publication for
 now.  The references describing the methods in this package will be added
 later.

Package: r-cran-rtd3
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-geojsonsf, r-cran-data.table, r-cran-purrr
Suggests: r-cran-testthat, r-cran-spelling, r-cran-knitr, r-cran-covr, r-cran-dplyr, r-cran-sf, r-cran-rgeos, r-cran-rnaturalearth
Filename: pool/dists/focal/main/r-cran-rtd3_0.0.1-1.ca2004.1_all.deb
Size: 184140
MD5sum: eaba555f8299ad8c14b2938da9d1a7f9
SHA1: e12531971bc66e1a55346c8c82f7e719c77e2ef2
SHA256: 85f4189c7420c14b60949ad00ba78153250dd3423249bcc4cd0abfaa49e51921
SHA512: 5a33e93fdec5e1788350050ceb4535c18cb72950b7ec9869b96c26a23489c8df5c281b65cd47705983b36a34b2fcd5a25daea0af19340e2878ca373470ffb147
Homepage: https://cran.r-project.org/package=RtD3
Description: CRAN Package 'RtD3' (Rt Visualization in D3)
 Create interactive visualisations of Rt estimates using 'D3.js' (Gibbs et
 al. (2020) <doi:10.5281/zenodo.4011842>). Developed primarily targeting Rt
 estimates generated by the 'EpiNow2' package, 'RtD3' aims to make simple,
 beautiful visualisations that help researchers explore their results and
 share them with others.

Package: r-cran-rtd
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-httr, r-cran-dplyr, r-cran-jsonlite, r-cran-rcppmsgpack, r-cran-urltools, r-cran-uuid, r-cran-purrr
Suggests: r-cran-testthat, r-cran-mockery, r-cran-openssl, r-cran-webmockr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rtd_0.4.1-1.ca2004.1_all.deb
Size: 171276
MD5sum: 224c63ab31a170d132b0675a47f172ae
SHA1: b606690b95805f5eaa374313641dea5add133a42
SHA256: 0d271bf075563717ec97e9c09f1507eb4676edad4a95a389e0cf3d4b88282099
SHA512: d261ca056cc286a3ea888dad9cfcaa759a42f635ee94a5ca3cff33dedd1ba6409a350996830b0cbf8b24ccd615e4b97833d5b7da2a6e3554fbcfcc8529ca65f4
Homepage: https://cran.r-project.org/package=RTD
Description: CRAN Package 'RTD' (Simple TD API Client)
 Upload R data.frame to Arm Treasure Data, see
 <https://www.treasuredata.com/>.  You can execute database or table handling
 for resources on Arm Treasure Data.

Package: r-cran-rtde
Architecture: all
Version: 0.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tseries
Filename: pool/dists/focal/main/r-cran-rtde_0.2-2-1.ca2004.1_all.deb
Size: 139508
MD5sum: c32016fb2bb04cae23356c1eca3b94a2
SHA1: f078ec1269aa36bc34b417811be256a293d57769
SHA256: 911a2873e1133cbd5ff503bc4a40983fb0dce0647bce1a687954887a08ebe823
SHA512: fef3e49a82af7771f743cfaedde41dd3743017be42fef9844ea4dc68681c4c98c70952cfb17daa89108e90126d4b0dcdd2ad425b3630b6622ca1ce6426d1c196
Homepage: https://cran.r-project.org/package=RTDE
Description: CRAN Package 'RTDE' (Robust Tail Dependence Estimation)
 Robust tail dependence estimation for bivariate models. This package is
 based on two papers by the authors:'Robust and bias-corrected estimation of
 the coefficient of tail dependence' and 'Robust and bias-corrected
 estimation of probabilities of extreme failure sets'. This work was
 supported by a research grant (VKR023480) from VILLUM FONDEN and an
 international project for scientific cooperation (PICS-6416).

Package: r-cran-rtematres
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl, r-cran-plyr, r-cran-gdata
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rtematres_0.2-1.ca2004.1_all.deb
Size: 35100
MD5sum: c0c74ed66b285cee5ddca7be5fc41b36
SHA1: 571bd539dceeccc23e70fc4d95107a0d6df98024
SHA256: e958ecd7a43aa7816a2c3439e3b174a7b29b05bcc3520ac08e0e18a345708d6d
SHA512: 5b8db458d634efd306551797ba7960d644c9a72637af7dfe3d18bf7e58a602e6a75590fa370fb5353f9a5e74f0465f3902aa2395ab50ac8124007d9c7f0f1c4b
Homepage: https://cran.r-project.org/package=rtematres
Description: CRAN Package 'rtematres' (The rtematres API package)
 Exploit controlled vocabularies organized on tematres servers.

Package: r-cran-rtemps
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-dt, r-cran-ggplot2, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-rtemps_0.8.0-1.ca2004.1_all.deb
Size: 37912
MD5sum: 4f52679eb3b634618fecfb793ea84ad3
SHA1: 812c2de7f3c1ad4314cd0ee40a4ce8b74d1205de
SHA256: 81cc05e08c4acc99227eb95e10c631ddf8299328f27471f010a68c12b714c667
SHA512: 50b5378f0af9313cfc8e5fbed46e6fe1e1abbd1f3530460caabd8f3426351d7179fcb7bad201fb95b4a3cd16b26a65f6cee98067759e9c66b7489ead04b085a2
Homepage: https://cran.r-project.org/package=rtemps
Description: CRAN Package 'rtemps' (R Templates for Reproducible Data Analyses)
 A collection of R Markdown templates for nicely structured, reproducible
 data analyses in R. The templates have embedded examples on how to write
 citations, footnotes, equations and use colored message/info boxes, how to
 cross-reference different parts/sections in the report, provide a nice table
 of contents (toc) with a References section and proper R session information
 as well as examples using DT tables and ggplot2 graphs.  The bookdown Lite
 template theme supports code folding.

Package: r-cran-rtensor2
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4348
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-png, r-cran-rtensor, r-cran-wavethresh, r-cran-gsignal, r-cran-matrix, r-cran-matrixcalc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rtensor2_2.0.0-1.ca2004.1_all.deb
Size: 4352168
MD5sum: 24c8180c4e96317988e9d19b72b62e8d
SHA1: 5e7f704e172d3d2892efe42003423d6b64e5c631
SHA256: e87396cfc89fee313883a7ec4d6fd2787f22fef4d79b9eabb3aa7ba43852c871
SHA512: 70a2e2d67db70953f4ad5b50a4d0fc41c1aefacf671481ab239ace464318eed1cd7f70f61317118ac8a7116fced4c4a588ca32d1a2a817b4805811976af6c219
Homepage: https://cran.r-project.org/package=rTensor2
Description: CRAN Package 'rTensor2' (MultiLinear Algebra)
 A set of tools for basic tensor operators.  A tensor in the context of data
 analysis in a multidimensional array. The tools in this package rely on
 using any discrete transformation (e.g. Fast Fourier Transform (FFT)).
 Standard tools included are the Eigenvalue decomposition of a tensor, the QR
 decomposition and LU decomposition.  Other functionality includes the
 inverse of a tensor and the transpose of a symmetric tensor. Functionality
 in the package is outlined in Kernfeld et al. (2015)
 <https://www.sciencedirect.com/science/article/pii/S0024379515004358>.

Package: r-cran-rtensor
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtensor_1.4.8-1.ca2004.1_all.deb
Size: 268280
MD5sum: dc5608a934d6ea2bfedacb9c7aee8ae2
SHA1: c9514e249abcea84647ee49fe7b75f2c82c66a8b
SHA256: b7d60ceaf9c424bc8855d95fc6942faa0af475b6bdc6351ace028f6568a51b38
SHA512: e84e6fc67911f71382429d8aa9af4d72af81a91c264d3dba1ae9743ff5859ab44120301279a3228c5b4ce48276e9dc3a50ef280722e9738b16d5ed68d44d387d
Homepage: https://cran.r-project.org/package=rTensor
Description: CRAN Package 'rTensor' (Tools for Tensor Analysis and Decomposition)
 A set of tools for creation, manipulation, and modeling of tensors with
 arbitrary number of modes. A tensor in the context of data analysis is a
 multidimensional array. rTensor does this by providing a S4 class 'Tensor'
 that wraps around the base 'array' class. rTensor provides common tensor
 operations as methods, including matrix unfolding, summing/averaging across
 modes, calculating the Frobenius norm, and taking the inner product between
 two tensors. Familiar array operations are overloaded, such as index
 subsetting via '[' and element-wise operations.  rTensor also implements
 various tensor decomposition, including CP, GLRAM, MPCA, PVD, and Tucker.
 For tensors with 3 modes, rTensor also implements transpose, t-product, and
 t-SVD, as defined in Kilmer et al. (2013). Some auxiliary functions include
 the Khatri-Rao product, Kronecker product, and the Hadamard product for a
 list of matrices.

Package: r-cran-rtephra
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rnomads
Filename: pool/dists/focal/main/r-cran-rtephra_0.1-1.ca2004.1_all.deb
Size: 346156
MD5sum: 6dc2bc8eb793d8b0df593d3f82bfbfae
SHA1: a465d49ae5007ab759c96e4831b4dd11832b1b46
SHA256: 8aba142ca2999e57a2efb8374a7db1db6b23ce8e1f1cabdb135d38840181e788
SHA512: f0570a931a860ea5f7303641e0c533b6c571b7a824ac0db0908a881c7dd41ae492a6c78d0b28aad4b32493bedadc3ee57c1885a921941497932299699fd8ca97
Homepage: https://cran.r-project.org/package=rTephra
Description: CRAN Package 'rTephra' (Tephra Transport Modeling)
 Models and displays tephra transport through custom (windy, turbulent,
 heterogeneous) atmosphere over custom topography. Includes a Lagrangian
 (particle-tracking) tephra transport model and a function to save snapshots
 of model as png files.

Package: r-cran-rtern
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-covr, r-cran-testthat, r-cran-spelling, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-rtern_0.1.2-1.ca2004.1_all.deb
Size: 16080
MD5sum: cd33e59f14bc03afb81f82b8feab51f7
SHA1: d7151c5b94efbb0c33118335ee177851a0cccff2
SHA256: 4346eed34c5ffd6e6d4f0ba52b1fe8303571b4479deb220e0e44a759463adfef
SHA512: 83909754981d3e01b233fb9fd25f00abffc08053ca6b1f6a500a87040f0d6a347571dc261ddab67da12561593c62e6fcde6fb20e64fbb8b27c3b152f5855406e
Homepage: https://cran.r-project.org/package=rtern
Description: CRAN Package 'rtern' (A Ternary Conditional Operator for R)
 A small language extension for succinct conditional assignment using `?` and
 `:`, emulating the conditional ternary operator syntax using in C, Java,
 JavaScript and other languages.

Package: r-cran-rtexturemetrics
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtexturemetrics_1.1-1.ca2004.1_all.deb
Size: 34776
MD5sum: 03578f1853521fac61a266835a8fe115
SHA1: 491cc5b274797a591c6974ba443fac0455b29f0f
SHA256: 4595f35497ed6517a169ef9fda6d12fc07def6a0dfbbd51346a97e883de4c446
SHA512: efcb5a77ca68c4caa326fec80174c6a3a20d2563463c38c503ff03ae46ca9a1627df080b2f81b673047d7c1d33ffe17763849e55ec575d5b29f3371926deb724
Homepage: https://cran.r-project.org/package=RTextureMetrics
Description: CRAN Package 'RTextureMetrics' (Functions for calculation of texture metrics for Grey LevelCo-occurrence Matrices)
 This package contains several functions for calculation of texture metrics
 for Grey Level Co-occurrence matrices

Package: r-cran-rtf
Architecture: all
Version: 0.4-14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.oo, r-cran-r.methodss3
Suggests: r-cran-ggplot2, r-cran-lattice, r-cran-xtable, r-cran-gsubfn
Filename: pool/dists/focal/main/r-cran-rtf_0.4-14.1-1.ca2004.1_all.deb
Size: 274616
MD5sum: 7048fd491ff5c8fe4056b4cf6f5ffcbd
SHA1: a2c8a0129273eaa4c87013e1239174b2952d6c32
SHA256: dc99cc515c56576f4d359c46d2e736c3fd11654d937f01b72be3659f508f735b
SHA512: e3c87d2862d1fd1c1f449428ecee95ee29b8dab61b96f77fc6c387379d67cfbbcb243cdae532e03cc3d1190fdc42c64644ec4e44d526dbbae0915e05bfa1f86d
Homepage: https://cran.r-project.org/package=rtf
Description: CRAN Package 'rtf' (Rich Text Format (RTF) Output)
 A set of R functions to output Rich Text Format (RTF) files with high
 resolution tables and graphics that may be edited with a standard word
 processor such as Microsoft Word.

Package: r-cran-rtfa
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rtensor, r-cran-tensor
Filename: pool/dists/focal/main/r-cran-rtfa_0.1.0-1.ca2004.1_all.deb
Size: 34540
MD5sum: f4c3eed97d8c9c20d3edaf95d6bdbcec
SHA1: df227f1e21dee37f89a5214f69d343f6f8bd3300
SHA256: 25488665ed34b57ae23f7bd2157cb1033a6c9a272fd79a1d01ae27df5bf749f0
SHA512: 325ca5430214a99f22f65897fe05824d9a464335e00f44e2e101921156d63cbf17ededd6ab02baf8621e897b856c61f13b58326b2a7f796a204e8551b48b3089
Homepage: https://cran.r-project.org/package=RTFA
Description: CRAN Package 'RTFA' (Robust Factor Analysis for Tensor Time Series)
 Tensor Factor Models (TFM) are appealing dimension reduction tools for
 high-order tensor time series, and have wide applications in economics,
 finance and medical imaging. We propose an one-step projection estimator by
 minimizing the least-square loss function, and further propose a robust
 estimator with an iterative weighted projection technique by utilizing the
 Huber loss function. The methods are discussed in Barigozzi et al. (2022)
 <arXiv:2206.09800>, and Barigozzi et al. (2023) <arXiv:2303.18163>.

Package: r-cran-rtg
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brnn, r-cran-minpack.lm, r-cran-ggplot2, r-cran-mgcv, r-cran-knitr, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtg_1.0.4-1.ca2004.1_all.deb
Size: 66904
MD5sum: 4f3dd154afb9cd72a8c79636460673c7
SHA1: 2f43e4394757d66f232809cf259d6834ccef5c27
SHA256: 478ddbdbd713a36508d345007d96557f2b923ebca9ca60ea616fbc96ca59f009
SHA512: ed663dd5588c25ca1b6024f4f4f3e6dee4d7fc25edc0f1eacfdeb24b92d0f551ddb756de0e38b1098c22b73e6a57ed0d54dcab32d2f549ef65096203b5d56671
Homepage: https://cran.r-project.org/package=rTG
Description: CRAN Package 'rTG' (Methods to Analyse Seasonal Radial Tree Growth Data)
 Methods for comparing different regression algorithms for describing the
 temporal dynamics of secondary tree growth (xylem and phloem). Users can
 compare the accuracy of the most common fitting methods usually used to
 analyse xylem and phloem data, i.e., Gompertz function, Double Gompertz
 function, General Additive Models (GAMs); and an algorithm newly introduced
 to the field, i.e., Bayesian Regularised Neural Networks (brnn). The core
 function of the package is XPSgrowth(), while the results can be interpreted
 using implemented generic S3 methods, such as plot() and summary().

Package: r-cran-rtgstat
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-purrr, r-cran-snakecase, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rtgstat_0.3.4-1.ca2004.1_all.deb
Size: 234844
MD5sum: 1c0e7b1786d0bbac5fe463dc2947e314
SHA1: e0295c18da77d9a4523b8bb04bed8ca46600a5af
SHA256: 224843af1c30546d8d0c8589029d4d6bd5e08f0fcea4c4c2c2751d30761f4b54
SHA512: 564bbe1663d19086345ebb637c72981cf4938237df094dad858371074fff6d21baa218db690ca5dc04728bd87f8e78aa3d03a9b845b1b97ecd637b2cac91d985
Homepage: https://cran.r-project.org/package=rtgstat
Description: CRAN Package 'rtgstat' (Client for 'TGStat API')
 Allow function for using 'TGStat Stat API' and 'TGStat Search API', for more
 details see <https://api.tgstat.ru/docs/ru/start/intro.html>.  'TGStat'
 provide telegram channel analytics data.

Package: r-cran-rthingsboard
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-logger, r-cran-dplyr
Suggests: r-cran-badger, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rthingsboard_0.2.7-1.ca2004.1_all.deb
Size: 138688
MD5sum: 6948fe6e96da6a4a780bb14c2cbc371b
SHA1: 788222c782e026170bdcc67cc7c19a3191e63be6
SHA256: 07a402eb9c19d959f7008af39268673b299294629201d7043c301d4478acd5a3
SHA512: cdc9b3ccd22771d0904feb3b5a7bb770778a85c6e5320813c8d5b5141cb4f64d3cef7850413ff850288c92d40a62059decf01b627321525112467f8d9ee0b690
Homepage: https://cran.r-project.org/package=Rthingsboard
Description: CRAN Package 'Rthingsboard' ('ThingsBoard' API)
 The goal of 'Rthingsboard' is to provide interaction with the API of
 'ThingsBoard' (<https://thingsboard.io/>), an open-source IoT platform for
 device management, data collection, processing and visualization.

Package: r-cran-rticles
Architecture: all
Version: 0.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11153
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-tinytex, r-cran-xfun, r-cran-yaml
Suggests: r-cran-bookdown, r-cran-withr, r-cran-covr, r-cran-testit, r-cran-testthat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-rticles_0.27-1.ca2004.1_all.deb
Size: 4108252
MD5sum: 4bc7f1668d9a45930a8103cbf0e7ac17
SHA1: 8c6e221cf37ab197a6e477534e4f96d9c5efe775
SHA256: 39325ae0ae28bbb3da2d0e42f366b8d91669695c0337093af289a54c46741d1d
SHA512: 556f0d45d8d84bc36c0640d6f830faf0b4eae7817b25328530f980dffa7c2995ea59a6ffce5d9fb0f75664e53b2ac851866197f68f2fcb9280829985213fd803
Homepage: https://cran.r-project.org/package=rticles
Description: CRAN Package 'rticles' (Article Formats for R Markdown)
 A suite of custom R Markdown formats and templates for authoring journal
 articles and conference submissions.

Package: r-cran-rticulate
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-gsignal, r-cran-magrittr, r-cran-mgcv, r-cran-pracma, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rcartocolor, r-cran-rmarkdown, r-cran-stringr, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rticulate_2.0.1-1.ca2004.1_all.deb
Size: 2232808
MD5sum: e2fa6a1d35138ea20913646a98f06f26
SHA1: 50aa738ba318af658a0be43c64fd3fcb8c61e991
SHA256: 89f5376ef418c418ed169e818043814526056df21f34ea17ae405c03ca9a4cb2
SHA512: 6f57d462688053d2ef97980fd9f4a805e1aaf040bd095e8a7fc72314b78fb4ba240e9f4d5ca2c8ab1731eedb941787930ad0017bbf2df237eb38379c3d336352
Homepage: https://cran.r-project.org/package=rticulate
Description: CRAN Package 'rticulate' (Articulatory Data Processing in R)
 A tool for processing Articulate Assistant Advanced™ (AAA) ultrasound tongue
 imaging data and Carstens AG500/1 electro-magnetic articulographic data.

Package: r-cran-rtiddlywiki
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-settings, r-cran-httr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-bookdown, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtiddlywiki_0.1.0-1.ca2004.1_all.deb
Size: 39852
MD5sum: a6ab7be0469078121d6550b751160444
SHA1: 49359997bc894664d0f98f101c383d7a2fc6ba44
SHA256: 19922ed2b71510b73cfcc322d7b30cad0d297195a393332346dccd6145d448ed
SHA512: f10a04e25093ad809270ae940f01579acfd4629ca43cec0368451701917e671a1189edc5f548cfeba4eb1b059710b39f97745ed8ffe2d9658077084a7b087bcb
Homepage: https://cran.r-project.org/package=rtiddlywiki
Description: CRAN Package 'rtiddlywiki' (R Interface for 'TiddlyWiki')
 'TiddlyWiki' is a unique non-linear notebook for capturing, organising and
 sharing complex information. 'rtiddlywiki' is a R interface of 'TiddlyWiki'
 <https://tiddlywiki.com> to create new tiddler from Rmarkdown file, and then
 put into a local 'TiddlyWiki' node.js server if it is available.

Package: r-cran-rtide
Architecture: all
Version: 0.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-chk, r-cran-dttr2, r-cran-tibble
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-scales, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtide_0.0.11-1.ca2004.1_all.deb
Size: 493776
MD5sum: ecaa4099e09d73d11d1efb56fc280349
SHA1: 590deb1e1438e2881bf50b6b4fb94b32e429e5e3
SHA256: f3dd490537a984a7d2e5ea8aaa1064e35474f402592fa35b7baf7194df594baa
SHA512: eab76188389a08f91eaa3e2a98e4273f5c97e6b13329690d20a437db63a233170b2524099657a41929a31166ba4e3d4d0aa8a9e4395f91f66874444abce93246
Homepage: https://cran.r-project.org/package=rtide
Description: CRAN Package 'rtide' (Tide Heights)
 Calculates tide heights based on tide station harmonics.  It includes the
 harmonics data for 637 US stations.  The harmonics data was converted from
 <https://github.com/poissonconsulting/rtide/blob/main/data-raw/harmonics-dwf-20151227-free.tar.bz2>,
 NOAA web site data processed by David Flater for 'XTide'.  The code to
 calculate tide heights from the harmonics is based on 'XTide'.

Package: r-cran-rties
Architecture: all
Version: 5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3681
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-datacombine, r-cran-desctools, r-cran-desolve, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-interactions, r-cran-lattice, r-cran-lme4, r-cran-mass, r-cran-mclust, r-cran-nlme, r-cran-nnet, r-cran-plyr, r-cran-zoo
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-sjmisc, r-cran-sjplot
Filename: pool/dists/focal/main/r-cran-rties_5.0.0-1.ca2004.1_all.deb
Size: 2682316
MD5sum: 5f74255ae26b7df14707cb9980dceccf
SHA1: bb44e41212d57b99a9b66364e7a719689f24859f
SHA256: 8e4c74a6721fa4ba3bb562a8af33368ed583d2535008827bd36128d46a0fbe32
SHA512: d1c2bbfe6e5a5cf2fdbf9f246d20c94ad81b0a0be2c116f85c2c47f0a164d8bec30ad247a0189ce2cd905d5a817415055f1a45a3e863f209bdadc5ae815522a4
Homepage: https://cran.r-project.org/package=rties
Description: CRAN Package 'rties' (Modeling Interpersonal Dynamics)
 The name of this package grew out of our research on temporal interpersonal
 emotion systems (TIES), hence 'rties'. It provides tools for using a set of
 models to investigate temporal processes in bivariate (e.g., dyadic)
 systems. The general approach is to model, one dyad at a time, the dynamics
 of a variable that is assessed repeatedly from both partners, extract the
 parameter estimates for each dyad, and then use those parameter estimates as
 input to a latent profile analysis to extract groups of dyads with
 qualitatively distinct dynamics. Finally, the profile memberships can be
 used to either predict, or be predicted by, another variable of interest.
 Currently, 2 models are supported: 1) inertia-coordination, and 2) a
 coupled-oscillator. Extended documentation is provided in vignettes.
 Theoretical background can be found in Butler (2011)
 <doi:10.1177/1088868311411164> and Butler & Barnard (2019)
 <doi:10.1097/PSY.0000000000000703>.

Package: r-cran-rtiger
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1562
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-genomicranges, r-bioc-genomeinfodb, r-cran-e1071, r-cran-extradistr, r-cran-reshape2, r-cran-ggplot2, r-cran-tailrank, r-cran-juliacall, r-bioc-iranges, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-bioc-gviz, r-bioc-rtracklayer
Filename: pool/dists/focal/main/r-cran-rtiger_2.1.0-1.ca2004.1_all.deb
Size: 924252
MD5sum: 361ac6005afef49fd20e56e19e989241
SHA1: d58710bc2e7ba7b545ed4c14e1fb1d8eacb2168f
SHA256: eaf278a080171807fbf0df7148ab4d8e848504cfa38b3a7fcde9dd6c1d8c086b
SHA512: 9131dc62cb6ff0b7a8b91731fa2d675e8ee9aee809e91835e6b1df54b4281435123e05486ddb7dbfb6e60cee0033d89acb40f837f5e2618a21332c372c8ed01b
Homepage: https://cran.r-project.org/package=RTIGER
Description: CRAN Package 'RTIGER' (HMM-Based Model for Genotyping and Cross-Over Identification)
 Our method integrates information from all sequenced samples, thus avoiding
 loss of alleles due to low coverage. Moreover, it increases the statistical
 power to uncover sequencing or alignment errors
 <doi:10.1093/plphys/kiad191>.

Package: r-cran-rtika
Architecture: all
Version: 2.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1082
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-sys, r-cran-digest, r-cran-backports
Suggests: r-cran-jsonlite, r-cran-xml2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-rtika_2.7.0-1.ca2004.1_all.deb
Size: 640984
MD5sum: 42368d366fe00c1c0ad07651742965a9
SHA1: 4bb191cf88feb8481c1368d2cbbb4086b0dcddc8
SHA256: 26bd6553cf9da8fc4cb3ac2848831593dbdd26b37de78ef8e5012daed422d77e
SHA512: 91d4b4140e84626109c990e19657f7a3e2123d65b8e0ba76b8eaf7613326a65fd7c2d024f30174e2b6f514ecc62708e4e80f9537ec3b4e59b3779e450c4dd42c
Homepage: https://cran.r-project.org/package=rtika
Description: CRAN Package 'rtika' (R Interface to 'Apache Tika')
 Extract text or metadata from over a thousand file types, using Apache Tika
 <https://tika.apache.org/>. Get either plain text or structured XHTML
 content.

Package: r-cran-rtip
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-boot, r-cran-mvtnorm, r-cran-plyr, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-rtip_1.1.1-1.ca2004.1_all.deb
Size: 314016
MD5sum: a4f809d713c70096bea00977e9dc80af
SHA1: 132e49ea1c4f9bd5ed6e8dae9b3c027f0c4e12ab
SHA256: e66341846e1533dc8a9cc26c7d2870e6583ea9df6fee460d2d4d9088aa1b07d1
SHA512: e74f2ee6a1893db733e192db968b78c9e27531fd52d077b7fdbc75942ac976b9ff12e5940b6caa7fa6953681b1ab81e48397bc120b945b233484a154917ed13e
Homepage: https://cran.r-project.org/package=rtip
Description: CRAN Package 'rtip' (Inequality, Welfare and Poverty Indices and Curves using theEU-SILC Data)
 R tools to measure and compare inequality, welfare and poverty using the EU
 statistics on income and living conditions surveys.

Package: r-cran-rtist
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtist_1.0.0-1.ca2004.1_all.deb
Size: 49160
MD5sum: 59251aa28d811eb4028723db1ce25d84
SHA1: d5a98caac6b982e44070ac54d14570e901f76fa0
SHA256: a9e6f847006264f072748d15c04ec23e15446e7cb49be1db9cc12079d52bef59
SHA512: e72a63d60d815d0a238843806beed2d8ce8b488aec1aa869d679a6668350b0e37ebdcfa529bcee145d4001edca50ab6ad6cb88d1512485b377e6a47a489558a1
Homepage: https://cran.r-project.org/package=rtist
Description: CRAN Package 'rtist' (A Color Palette Generator)
 Color palettes from famous artists and paintings.

Package: r-cran-rtlknitr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-gt, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-rtlknitr_1.0.0-1.ca2004.1_all.deb
Size: 26808
MD5sum: 9059bc66463e42ca0b1993d5f9fdeac8
SHA1: b3e0884b70a35bbc91229e2693631e9fd32cb4ee
SHA256: b1493f585e6d7a94c22b270fd08b16e9c3551cc0c5d77a928763f3d15ff4fc1c
SHA512: c0b8945383f07eb86ba5f97a6ee1599a7a9ab5e22843aec2c80e53c2935454b617c4e06216417d54c18e0051c9cb9c9572e91d30e5a1d626f13f8b2335fa21c2
Homepage: https://cran.r-project.org/package=RTLknitr
Description: CRAN Package 'RTLknitr' (Right to Left Dynamic Documents Using 'knitr')
 Provide seamless support for right-to-left (RTL) languages, such as Persian
 and Arabic, in R Markdown documents and 'LaTeX' output. It includes
 functions and hooks that enable easy integration of RTL language content,
 allowing users to create documents that adhere to RTL writing conventions.
 For in-depth insights into dynamic documents and the 'knitr' package,
 consider referring to Xie, Y (2014) <ISBN: 978-1-482-20353-0>.

Package: r-cran-rtlr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lifecycle, r-cran-stringr
Suggests: r-cran-hexsticker, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-rtlr_0.1.0-1.ca2004.1_all.deb
Size: 74968
MD5sum: 5b7d1328df510bb5a271495bc5567ffc
SHA1: 6c328fb9e325273139299d8db9d7230421e7c698
SHA256: 9c16895538ff6f7c546fb1f5618fe018f9422b476611574f8dd1790d72c22f3f
SHA512: 30289b6371d38505bf9e32d1cf09cc3e39787b68d25fb82899b92902d67478cece8fecaa9c24deec6332ef590ff4bc3f9fb8fc46e89ce9c6320fdfba636046bd
Homepage: https://cran.r-project.org/package=rtlr
Description: CRAN Package 'rtlr' (Print Right-to-Left Languages Correctly)
 Convenience functions to make some common tasks with right-to-left string
 printing easier, more convenient and with no need to remember long Unicode
 characters. Specifically helpful for right-to-left languages such as Arabic,
 Persian and Hebrew.

Package: r-cran-rtlsdeep
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1045
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-ggplot2, r-cran-lidr, r-cran-keras, r-cran-matrixstats, r-cran-reticulate, r-cran-rgl, r-cran-sf, r-cran-tensorflow
Suggests: r-cran-terra, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-rtlsdeep_0.0.5-1.ca2004.1_all.deb
Size: 981520
MD5sum: f98e8a76f55baf60f5f222fa656bcd4a
SHA1: 95fba0637c6b52f944f867bee114817bad7db42b
SHA256: 19010e314c217bcae77c64ae064b8e3368ccb66631bf14ea0d545be39563e8ae
SHA512: b8f176d3f9376947f8cfac8793d2e526b77c632144aea42c2092c2bdb1f7bd441eb987fa8e894eedffd1d78b849ab6fb02df0debd091804d3bd2f344412201da
Homepage: https://cran.r-project.org/package=rTLsDeep
Description: CRAN Package 'rTLsDeep' (Post-Hurricane Damage Severity Classification from TLS and AI)
 Terrestrial laser scanning (TLS) data processing and post-hurricane damage
 severity classification at the individual tree level using deep Learning.
 Further details were published in Klauberg et al. (2023)
 <doi:10.3390/rs15041165>.

Package: r-cran-rtms
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 739
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rtms_0.2.0-1.ca2004.1_all.deb
Size: 714336
MD5sum: dabd89a469c97cdaa8bd5cd3555e1ba7
SHA1: 36adfe2b181aabbe85ac10119ba88aa991262d9b
SHA256: 3bd1b865fc5f2e96807ea7016754320558b8a5a5ba55c9e7a2902945245d85cf
SHA512: 8d4db8769ea5b3720b7b656845b9b389220e3db96b1a0fb27378179091b93a9e1a5155fb20fce533ac16f801d11cf6ac3de105ec47bdf66a2b2d71392c8d46bf
Homepage: https://cran.r-project.org/package=rtms
Description: CRAN Package 'rtms' (R Toolkit for Mass Spectrometry)
 Quickly imports, processes, analyzes, and visualizes mass-spectrometric
 data.  Includes functions for easily extracting specific data and
 measurements from large (multi-gigabyte) raw Bruker data files, as well as a
 set of S3 object classes for manipulating and measuring mass spectrometric
 peaks and plotting peaks and spectra using the 'ggplot2' package.

Package: r-cran-rtnmin
Architecture: all
Version: 2016-7.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtnmin_2016-7.7-1.ca2004.1_all.deb
Size: 51660
MD5sum: 2564626078196db6499f48569919b895
SHA1: 1e0bacba3f360ed855a96fe8d79d5ce067691e1e
SHA256: 13b90a5f3b64aa2e80d85b0b6e559bb8854c1a4498825e537d592ce63910de26
SHA512: a242347fbbb9c262c622615fedd7d59f24b4da5ac463c3f2a596168783a30fa82f11e2db5f36e25b5df1fc031735d9c4b069692356e5c0621d5a773daa5affc5
Homepage: https://cran.r-project.org/package=Rtnmin
Description: CRAN Package 'Rtnmin' (Truncated Newton Function Minimization with Bounds Constraints)
 Truncated Newton function minimization with bounds constraints based on the
 'Matlab'/'Octave' codes of Stephen Nash.

Package: r-cran-rtodoist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-getpass, r-cran-glue, r-cran-httr, r-cran-keyring, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rtodoist_0.1.0-1.ca2004.1_all.deb
Size: 66592
MD5sum: 77b8a5f807c36eb61caf50a0fcfa7530
SHA1: 2c17ecb07918ca46737242688d7292ca1dd2dc84
SHA256: 5925ed0598cb42408604a2f444f98ae0cba62f334c1f173d18bfa05fcdee003f
SHA512: 5e5357864db37e4b118f767091a7298123fd4c2fd0d5e065c3e2ddad0941b19691156f550fa32f852f748d7d79d4e7af48d8c10bd97b6f1a7b9f3be4f694fefe
Homepage: https://cran.r-project.org/package=rtodoist
Description: CRAN Package 'rtodoist' (Create and Manage Todolist using 'Todoist.com' API)
 Allows you to interact with the API of the "Todoist" platform.  'Todoist'
 <https://todoist.com/> provides an online task manager service for teams.

Package: r-cran-rtomo
Architecture: all
Version: 1.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpmg, r-cran-geomap, r-cran-rseis, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-rtomo_1.1-6-1.ca2004.1_all.deb
Size: 223032
MD5sum: 550486bc2d7a3e5010adb027208e6957
SHA1: e3d1b921b1826334ebf4d6b4f9b22dba908b30f6
SHA256: 3f0859a7823aa482b832f9b0e8a219f2f953b94bb2f0f6313f1b1fb4c22357c8
SHA512: 8f8344b0f166f6bca829d20ee89f699347a5614473547a589097e86aaf084eef5dcf2a49ab09030d62d0eb21045550767d1bf00c3c26f943fe90ca6068138b67
Homepage: https://cran.r-project.org/package=RTOMO
Description: CRAN Package 'RTOMO' (Visualization for Seismic Tomography)
 Aimed at seismic tomography, the package plots tomographic images, and
 allows one to interact and query three-dimensional tomographic models.
 Vertical cross-sectional cuts can be extracted by mouse click.  Geographic
 information can be added easily.

Package: r-cran-rtoot
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipr, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rstudioapi, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rtoot_0.3.5-1.ca2004.1_all.deb
Size: 198320
MD5sum: 31feace80a5dffb2c3eeeecad5287587
SHA1: e9f805c243484bd569bb8cfe233cecd0785bcc95
SHA256: 690ada1d233bc7ebc5274ab0222c95c783a71b2c46f4188962ca265bb30eed68
SHA512: fbbc968afd71fe8b29bdd3f4c522afe4d3a09f682af054ae37fd0e601b26375b3c417d02444da22ee6f1daf127b336ddcc281502d68da37234e774a46d5e8c0f
Homepage: https://cran.r-project.org/package=rtoot
Description: CRAN Package 'rtoot' (Collecting and Analyzing Mastodon Data)
 An implementation of calls designed to collect and organize Mastodon data
 via its Application Program Interfaces (API), which can be found at the
 following URL: <https://docs.joinmastodon.org/>.

Package: r-cran-rtorch
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-jsonlite, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rtorch_0.4.2-1.ca2004.1_all.deb
Size: 171524
MD5sum: f4ef71660b9ec5cb82af7f57df03b001
SHA1: a6d41cddd1880adfd84e90050291a1d634cd18e2
SHA256: 9da1ca84013ad9ab8dacb7619a9a784ccc51f407290cb90771875cada638c2d3
SHA512: 0e9b34b9efa34ed87bb771b385503307ae432ec51474668170235a6cbd4ef09343f56a07e727b8e7ad0a101914a57254960dba0acf69640c6e6c2ed0eae75dde
Homepage: https://cran.r-project.org/package=rTorch
Description: CRAN Package 'rTorch' (R Bindings to 'PyTorch')
 'R' implementation and interface of the Machine Learning platform 'PyTorch'
 <https://pytorch.org/> developed in 'Python'. It requires a 'conda'
 environment with 'torch' and 'torchvision' Python packages to provide
 'PyTorch' functions, methods and classes. The key object in 'PyTorch' is the
 tensor which is in essence a multidimensional array. These tensors are
 fairly flexible in performing calculations in CPUs as well as 'GPUs' to
 accelerate tensor operations.

Package: r-cran-rtpc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3789
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-boot, r-cran-broom, r-cran-car, r-cran-forcats, r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-minpack.lm, r-cran-mumin, r-cran-nls.multstart, r-cran-nlstools, r-cran-patchwork, r-cran-progress, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-rtpc_1.0.4-1.ca2004.1_all.deb
Size: 2501920
MD5sum: 35f7fb9dc3a33be8d2b71f3cf7e2762c
SHA1: 5f8e7375d08bf7e5eb45ba86444bc49cbd8938e0
SHA256: 142126291695fd2a3bd54cc8d417ec1a1d331d3470d8b6ccd476756181d33f7d
SHA512: b81e673dbaac7a40319d44fdff6b5950af70c2340cb40a7cc1381e5f405842d15c118aeb261b3f0b94fbbbbfdd67ae094a70ea9f3e5db09ca028c8e786e00582
Homepage: https://cran.r-project.org/package=rTPC
Description: CRAN Package 'rTPC' (Fitting and Analysing Thermal Performance Curves)
 Helps to fit thermal performance curves (TPCs). 'rTPC' contains 26 model
 formulations previously used to fit TPCs and has helper functions to set
 sensible start parameters, upper and lower parameter limits and estimate
 parameters useful in downstream analyses, such as cardinal temperatures,
 maximum rate and optimum temperature. See Padfield et al. (2021)
 <doi:10.1111/2041-210X.13585>.

Package: r-cran-rtpcr
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-multcomp, r-cran-multcompview, r-cran-ggplot2, r-cran-lmertest, r-cran-purrr, r-cran-reshape2, r-cran-tidyr, r-cran-dplyr, r-cran-emmeans
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rtpcr_2.0.3-1.ca2004.1_all.deb
Size: 240428
MD5sum: ff8101dde47507cc777e7545acf00299
SHA1: f228dda97b9c419b821a7839d637d414d2f1d4e9
SHA256: 988a3288052b26697f3d175b330766599a86f14cfcf8bb04818de81b234c5f84
SHA512: 94c5c6aaf09a911be814faa7c7523e245c726228465b3161e9543bbc66887b110ff3ef1f2dee2010753bd56bbc49cae7eae6440987af440d854c194e3f14da05
Homepage: https://cran.r-project.org/package=rtpcr
Description: CRAN Package 'rtpcr' (qPCR Data Analysis)
 Various methods are employed for statistical analysis and graphical
 presentation of real-time PCR (quantitative PCR or qPCR) data. 'rtpcr'
 handles amplification efficiency calculation, statistical analysis and
 graphical representation of real-time PCR data based on up to two reference
 genes. By accounting for amplification efficiency values, 'rtpcr' was
 developed using a general calculation method described by Ganger et al.
 (2017) <doi:10.1186/s12859-017-1949-5> and Taylor et al. (2019)
 <doi:10.1016/j.tibtech.2018.12.002>, covering both the Livak and Pfaffl
 methods. Based on the experimental conditions, the functions of the 'rtpcr'
 package use t-test (for experiments with a two-level factor), analysis of
 variance (ANOVA), analysis of covariance (ANCOVA) or analysis of repeated
 measure data to calculate the fold change (FC, Delta Delta Ct method) or
 relative expression (RE, Delta Ct method). The functions further provide
 standard errors and confidence intervals for means, apply statistical mean
 comparisons and present significance. To facilitate function application,
 different data sets were used as examples and the outputs were explained.
 ‘rtpcr’ package also provides bar plots using various controlling arguments.
 The 'rtpcr' package is user-friendly and easy to work with and provides an
 applicable resource for analyzing real-time PCR data.

Package: r-cran-rtrack
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5255
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-hmisc, r-cran-kernsmooth, r-cran-openxlsx, r-cran-pbapply, r-cran-randomforest, r-cran-rcurl, r-cran-readxl, r-cran-rjson, r-cran-scales, r-cran-stringi, r-cran-terra, r-cran-zip
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rtrack_2.0.3-1.ca2004.1_all.deb
Size: 5334460
MD5sum: d57b6a4b985814487375043dded5a4fc
SHA1: 123a9e5cb9c34c1c122e2cefa1903676b06b5507
SHA256: 1bf3f8eabd40433dbc196a17e1a337aed8b2b5cdf6dfbcdb9023f608da92373a
SHA512: e0c28b47176319564a88dc3786b6cccf20eabefb087bbf67d9ce2bed855cc15a99d577aaceb90eb6b030ee07c21c8ffd6189c518656f3416356b75e2d120e28f
Homepage: https://cran.r-project.org/package=Rtrack
Description: CRAN Package 'Rtrack' (Spatial Navigation Strategy Analysis)
 A toolkit for the analysis of paths from spatial tracking experiments and
 calculation of goal-finding strategies.  This package is centered on an
 approach using machine learning for path classification.

Package: r-cran-rtrek
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1284
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-downloader, r-cran-dplyr, r-cran-ggplot2, r-cran-jpeg, r-cran-jsonlite, r-cran-memoise, r-cran-png, r-cran-purrr, r-cran-rvest, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-ggrepel, r-cran-gridextra, r-cran-knitr, r-cran-leaflet, r-cran-leaflet.extras, r-cran-lubridate, r-cran-rmarkdown, r-cran-showtext, r-cran-sysfonts, r-cran-testthat, r-cran-trekfont
Filename: pool/dists/focal/main/r-cran-rtrek_0.5.2-1.ca2004.1_all.deb
Size: 1111612
MD5sum: 8e4eeb1d2712707af81dd2dac03aed27
SHA1: 253e36bbb2392fd0bb023c75f7fa8ec07fdceb00
SHA256: 8b2be7a15079970d394946de76d724e4e6d473581a80d912de78f1a4e649e871
SHA512: a614a5e3de60cbfda8aa376773f1f5131867addba0c42565297fbdc3acf3c9446f90e4a279c1cc3a762c97d4a69c5391068ae4557114069f6a184044233b5ef5
Homepage: https://cran.r-project.org/package=rtrek
Description: CRAN Package 'rtrek' (Data Analysis Relating to Star Trek)
 Provides datasets related to the Star Trek fictional universe and functions
 for working with the data.  The package also provides access to real world
 datasets based on the televised series and other related licensed media
 productions.  It interfaces with the Star Trek API (STAPI)
 (<http://stapi.co/>), Memory Alpha
 (<https://memory-alpha.fandom.com/wiki/Portal:Main>), and Memory Beta
 (<https://memory-beta.fandom.com/wiki/Main_Page>) to retrieve data, metadata
 and other information relating to Star Trek.  It also contains several local
 datasets covering a variety of topics.  The package also provides functions
 for working with data from other Star Trek-related R data packages
 containing larger datasets not stored in 'rtrek'.

Package: r-cran-rtrends
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rtrends_0.1.0-1.ca2004.1_all.deb
Size: 31580
MD5sum: 509ddb5aea3ad7f3e2c2b570dd7f0453
SHA1: b93e9dada0d08c6dcec279c62fe0b0c5d90b5cda
SHA256: 4771ec8bb5ae0e517630a6aacf70d47e4178b826412fdc604e386ee2f400fdea
SHA512: ef9f6cb0ebff2875f2739ec0038b2c88bfa98540e67ed58a0cab41a205bfd44292dec1797dffb7a3f3425715ecd352fd034e8a4a57c3d66bfe20fb82a822e83a
Homepage: https://cran.r-project.org/package=rtrends
Description: CRAN Package 'rtrends' (Analyze Download Logs from the CRAN RStudio Mirror)
 Analyze download logs from the CRAN RStudio mirror
 (<http://cran.rstudio.com/>).  This CRAN mirror is the default one used in
 RStudio.  The available data is the result of parsed and anonymised raw log
 data from that CRAN mirror.

Package: r-cran-rtrim
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3906
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rtrim_2.3.0-1.ca2004.1_all.deb
Size: 2477512
MD5sum: 1cbea0de9ca00ccc461168dbff4297c2
SHA1: e1d9c16520efb7fa295d6c659bc676982a9d9dda
SHA256: fc77394a4f105709a256b53f5233a6e110686178595ebadf8b3df3a233a88955
SHA512: a6cb473486ea8db4a61fed82281536a4a7418844169174163cf95c265600aaaf83e2e54f120c1446c7ba67adad4b973fdea456349d3c7a9cc25be9fe9a75aa81
Homepage: https://cran.r-project.org/package=rtrim
Description: CRAN Package 'rtrim' (Trends and Indices for Monitoring Data)
 The TRIM model is widely used for estimating growth and decline of animal
 populations based on (possibly sparsely available) count data. The current
 package is a reimplementation of the original TRIM software developed at
 Statistics Netherlands by Jeroen Pannekoek. See
 <https://www.cbs.nl/en-gb/society/nature-and-environment/indices-and-trends%2d%2dtrim%2d%2d>
 for more information about TRIM.

Package: r-cran-rtriplexcwflux
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3919
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtriplexcwflux_0.2.0-1.ca2004.1_all.deb
Size: 2035232
MD5sum: e326aa8c6d73c05f253c8d097ac227b4
SHA1: c9d3ebc38136425b36d9be9946defe0455750c9f
SHA256: 67b87c94e35aa171779836967bd699c3a3b6f2ffbcaaf804b4ece3841919027e
SHA512: e8da3bde32da48d931708f2efa90d101da034724a2be4c8c32f8e726f66094ae5e05bd5cc80c8eb5501a9ec1a1a3dc76aa2dff15aaed351d828b5b03a33dbff6
Homepage: https://cran.r-project.org/package=rTRIPLEXCWFlux
Description: CRAN Package 'rTRIPLEXCWFlux' (Carbon-Water Coupled Model)
 A carbon-water coupled model (TRIPLEX-CW-Flux) is based on two
 well-established models, TRIPLEX-Flux model and Penman–Monteith model,
 integrates soil water and water vapor pressure deficits into the stomata
 conductance submodule to estimate net ecosystem production and
 evapotranspiration in forest
 ecosystems.<https://github.com/ShulanSun/rTRIPLEX_CW_Flux>.

Package: r-cran-rtropical
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 557
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-lpsolve, r-cran-lpsolveapi, r-cran-rfast, r-cran-rcppalgos, r-cran-caret
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-e1071, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtropical_1.2.1-1.ca2004.1_all.deb
Size: 493972
MD5sum: 84a0cac6fdb634421781831195243215
SHA1: ca33cc32cead1616250d1ea43efc9b502fe38b08
SHA256: c95ee66a526e12614535d7cd681dc3393cb57453eca402ca5817c4e50c062eda
SHA512: f0b5336cde55c424a810f32cde79f04e0272e36a20e8a0bbdcecc8d6ef22b968c15a29f0a131425c69583be6c82e2ec25f7556a9657d8c3efa964b33c09de271
Homepage: https://cran.r-project.org/package=Rtropical
Description: CRAN Package 'Rtropical' (Data Analysis Tools over Space of Phylogenetic Trees UsingTropical Geometry)
 Process phylogenetic trees with tropical support vector machine and
 principal component analysis defined with tropical geometry. Details about
 tropical support vector machine are available in : Tang, X., Wang, H. &
 Yoshida, R. (2020) <arXiv:2003.00677>. Details about tropical principle
 component analysis are available in : Page, R., Yoshida, R. & Zhang L.
 (2020) <doi:10.1093/bioinformatics/btaa564> and Yoshida, R., Zhang, L. &
 Zhang, X. (2019) <doi:10.1007/s11538-018-0493-4>.

Package: r-cran-rtry
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4414
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-curl, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtry_1.1.0-1.ca2004.1_all.deb
Size: 1134560
MD5sum: 6a1b37abb591810327a539a86cee5a76
SHA1: 69a1fbefe6936cf3454cdcc84764a66774eb9c92
SHA256: 909023206acad46ec40ca62d0e3401bb53d5fc6857e0e94ae41cf0632b0cbeda
SHA512: 00c446c0263a020f10cd2b2d56d853aee5cfa0a47c5d615b676755983af340b3086cd2a48c18b18736ed6d3e68d6404b24887c0502115e3f3ecb32fc16bdd3c2
Homepage: https://cran.r-project.org/package=rtry
Description: CRAN Package 'rtry' (Preprocessing Plant Trait Data)
 Designed to support the application of plant trait data providing easy
 applicable functions for the basic steps of data preprocessing, e.g. data
 import, data exploration, selection of columns and rows, excluding trait
 data according to different attributes, geocoding, long- to wide-table
 transformation, and data export. 'rtry' was initially developed as part of
 the TRY R project to preprocess trait data received via the TRY database.

Package: r-cran-rts
Architecture: all
Version: 1.1-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1859
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-xts, r-cran-zoo, r-cran-rcurl, r-cran-raster
Suggests: r-cran-digest, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-rts_1.1-14-1.ca2004.1_all.deb
Size: 1087668
MD5sum: 4d9a933ebe897dd30c3166e1a3402b18
SHA1: 80f34f30c1d0cc1062fd63a92f22305a596374d9
SHA256: fbd77d85979584c4c2a0fb96407eefba80d58e3e9ba240e5cd795ec86513a41c
SHA512: 9d121a6ee1e538c5c0411873ad8203b5ba5c5954aa2c55931246792a31d4568fb8524506e862bef29dd0461893a2a99c904243dd9a548b7e58ea312ffbefac1b
Homepage: https://cran.r-project.org/package=rts
Description: CRAN Package 'rts' (Raster Time Series Analysis)
 This framework aims to provide classes and methods for manipulating and
 processing of raster time series data (e.g. a time series of satellite
 images).

Package: r-cran-rtsdata
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xts, r-cran-quantmod, r-cran-zoo, r-cran-quandl, r-cran-anytime, r-cran-data.table, r-cran-mongolite, r-cran-brotli, r-cran-curl
Suggests: r-cran-rquantlib
Filename: pool/dists/focal/main/r-cran-rtsdata_0.1.4-1.ca2004.1_all.deb
Size: 71444
MD5sum: a64c336502cfc45da30d36ee7cf9118d
SHA1: 59fbaf470fc0dfe4d13f580f28155fc669a0f6e6
SHA256: d56d06f0c004b3dad2a548183c9f37668583bda7c758f8d8e2e9e458f3fc740e
SHA512: f44d18641d36576451731659b1224cbb22e6149a4e3a09a0e238e6a414305d2850045f671afb9fd94f547afb3a78cc606e2b93cca2e34b9ef24dd5af180b214d
Homepage: https://cran.r-project.org/package=rtsdata
Description: CRAN Package 'rtsdata' (R Time Series Intelligent Data Storage)
 A tool that allows to download and save historical time series data for
 future use offline. The intelligent updating functionality will only
 download the new available information; thus, saving you time and Internet
 bandwidth.  It will only re-download the full data-set if any
 inconsistencies are detected.  This package supports following data
 provides: 'Yahoo' (finance.yahoo.com), 'FRED' (fred.stlouisfed.org),
 'Quandl' (data.nasdaq.com), 'AlphaVantage' (www.alphavantage.co), 'Tiingo'
 (www.tiingo.com).

Package: r-cran-rtseva
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4501
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-evd, r-cran-ggplot2, r-cran-lubridate, r-cran-moments, r-cran-pot, r-cran-pracma, r-cran-scales, r-cran-texmex, r-cran-tsibble, r-cran-xts, r-cran-rlang, r-cran-changepoint
Suggests: r-cran-knitr, r-cran-ncdf4, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtseva_1.1.0-1.ca2004.1_all.deb
Size: 2553780
MD5sum: 87bbc9712e33150502a41e70c3c081e1
SHA1: 43efa979823671e836e2762500fe7a1bb2051ecf
SHA256: 45387fa3241a3943c38d0c0c4dbfae5f831ed3fbe87d529fe82810bec6393176
SHA512: 470c6f182c4bf3e419082ea12bf9ca9692a62937ec174042ad4ed4144aa72cefc2fd378e333e069508992b5a15fd8f08829e8958892c3fbfcbd4d78f5afde1e3
Homepage: https://cran.r-project.org/package=RtsEva
Description: CRAN Package 'RtsEva' (Performs the Transformed-Stationary Extreme Values Analysis)
 Adaptation of the 'Matlab' 'tsEVA' toolbox developed by Lorenzo Mentaschi
 available here: <https://github.com/menta78/tsEva>. It contains an
 implementation of the Transformed-Stationary (TS) methodology for
 non-stationary extreme value Analysis (EVA) as described in Mentaschi et al.
 (2016) <doi:10.5194/hess-20-3527-2016>.  In synthesis this approach consists
 in: (i) transforming a non-stationary time series into a stationary one to
 which the stationary extreme value theory can be applied; and (ii)
 reverse-transforming the result into a non-stationary extreme value
 distribution.  'RtsEva' offers several options for trend estimation (mean,
 extremes, seasonal) and contains multiple plotting functions displaying
 different aspects of the non-stationarity of extremes.

Package: r-cran-rtson
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtson_1.3-1.ca2004.1_all.deb
Size: 100768
MD5sum: fdfb8bb6f63966acedfb48c471bb0360
SHA1: ec425b861f430a6c22d59b32267d6c6a599595c9
SHA256: 0d525b7cbfd38637cae22bc6cc5c8d214777963b9264d26e239f21f8bb124864
SHA512: fffe99546e7fca07c940ef16729c9d57879ae5e4df3e5c604d6ec9649e77e3f938c93fc637473253ef7fbffdcd3a303f72e8af977aa3a72cb9e99386d521de65
Homepage: https://cran.r-project.org/package=rtson
Description: CRAN Package 'rtson' (Typed JSON)
 TSON, short for Typed JSON, is a binary-encoded serialization of JSON like
 document that support JavaScript typed data
 (https://github.com/tercen/TSON).

Package: r-cran-rtsplot
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xts, r-cran-quantmod, r-cran-zoo, r-cran-rcolorbrewer
Suggests: r-cran-ttr
Filename: pool/dists/focal/main/r-cran-rtsplot_0.1.5-1.ca2004.1_all.deb
Size: 102168
MD5sum: eef0a68202d8fee1f5dc518dad6db534
SHA1: 91145221ee5bc7d88e0b69c40d44c7da123ac697
SHA256: 5d18e1150b9e32ecc3121abe9303496fce1c9c929f9c5da0cdf0b772414ae2b2
SHA512: 44e24bcb9d96db640321d05055d6e505d05990d14c441b7e96aa6e39a129a4117223a2b1059002e64ea40fbf8c79c433ea1c142301f6a86f64f3074fbcd44992
Homepage: https://cran.r-project.org/package=rtsplot
Description: CRAN Package 'rtsplot' (Time Series Plot)
 A fast and elegant time series visualization package. In addition to the
 standard R plot types, this package supports candle sticks,
 open-high-low-close, and volume plots. Useful for visualizing any time
 series data, e.g., stock prices and technical indicators.

Package: r-cran-rtsvis
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rstoolbox, r-cran-movevis, r-cran-raster, r-cran-dplyr, r-cran-pbapply, r-cran-sp, r-cran-sf, r-cran-tidyr, r-cran-forcats, r-cran-assertthat, r-cran-magrittr
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rtsvis_0.0.3-1.ca2004.1_all.deb
Size: 1099472
MD5sum: d450d649ceabe57ec4659f708fd2b1ce
SHA1: 1c44bd9c5aa55bd9b022fd7f6c3ce9adf93d6179
SHA256: bbcd463096f5cc25bd93e9216db94a875162d1f869f7f0dccede32bbeb652c57
SHA512: cb672c25f009035a48eaf502b7112478e7e50647884f89d52a73df586ca049852b6643cff3e7fd366adda2142713833e1b7a7f4ba609f9db4ed113af9acac4af
Homepage: https://cran.r-project.org/package=rtsVis
Description: CRAN Package 'rtsVis' (Raster Time Series Visualization)
 A lightweight 'R' package to visualize large raster time series, building on
 a fast temporal interpolation core.

Package: r-cran-rttwebclient
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-httr, r-cran-digest, r-cran-base64enc, r-cran-withr
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lubridate, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rttwebclient_0.1.3-1.ca2004.1_all.deb
Size: 156316
MD5sum: bc8f6c377f3ab5fbb52d18c42e9b1ff1
SHA1: 189f2b4eb2318c3d4c2124a4a5db88ff63a381b6
SHA256: 2c9a8bb7f48d8c5536a75297a9412307641f59c5b00cddebc02a83e27777a2de
SHA512: 2872f7b1e23a3f5ccd79dd77baa7c45ac82c838a2b3c103305d856bd8b6fdf079773144a7e738e81a644e0f60791f2d2807a9856939c219f746eec25ea9149fc
Homepage: https://cran.r-project.org/package=RTTWebClient
Description: CRAN Package 'RTTWebClient' (Web Client to 'TickTrader')
 R Web Client to 'TickTrader' platform. Provides you access to 'TickTrader'
 platform through Web API
 <https://ttlivewebapi.fxopen.net:8443/api/doc/index>.

Package: r-cran-rtumblr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rtumblr_0.1.0-1.ca2004.1_all.deb
Size: 67484
MD5sum: 7d574b4be5cdfe78bf5762932c1fb7fb
SHA1: e7c908d6263f36555e88bfeb25d55efc9be98122
SHA256: f8946fdffb9bd50b8ffceff395378441909ccd25e4fcfb0e7430f120b52e7966
SHA512: a1a6dc44e90630bd91b56014563035e5cb0a4d66aec3b820e5a91dcb5c15f0b696c6c6b79e7e1edf41bc39892ccfb60ae26225f7c4eadfe8e3669b5303babaa8
Homepage: https://cran.r-project.org/package=Rtumblr
Description: CRAN Package 'Rtumblr' (Collecting and Analyzing 'Tumblr' Data)
 An implementation of calls designed to collect 'Tumblr' data via its
 Application Program Interfaces (API), which can be found at the following
 URL: <https://www.tumblr.com/docs/en/api/v2>.

Package: r-cran-rtutor
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-shiny, r-cran-shinydashboard, r-cran-rmarkdown, r-cran-dt, r-cran-shinybs, r-cran-shinyjs, r-cran-ggthemes, r-cran-plotly, r-cran-rlang, r-cran-fselector, r-cran-officer, r-cran-colourpicker, r-cran-tidyr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-rtutor_1.2-1.ca2004.1_all.deb
Size: 105252
MD5sum: b360b32f7998025cff9798bce5142ecd
SHA1: 6e82e26c6348c416baa7b3e2fcdf78d78405e1b8
SHA256: f335c9c24f12513ca117574ee04a66225c8a5ac7104840fda9f1d3e0dff8e563
SHA512: 469bf849b30641f2746e554e2905f9a38ed6e0982ed21c9c4e11ddd4ff8c91d90b6cd119c931d5bd2f94f7d4b9bbc162487c4261d41053813fd381ee833f66ba
Homepage: https://cran.r-project.org/package=RtutoR
Description: CRAN Package 'RtutoR' (Shiny Apps for Plotting and Exploratory Analysis)
 Contains Shiny apps for Plotting and Exploratory Analysis.  The plotting app
 provides an automated interface for generating plots using the 'ggplot2'
 package.  Current version of this app supports 10 different plot types along
 with options to manipulate specific aesthetics and controls related to each
 plot type. Exploratory Analysis app helps generates an Exploratory analysis
 report (in PowerPoint format) comprising of Univariate and Bivariate plots &
 related summary tables.

Package: r-cran-rtwalk
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rtwalk_1.8.0-1.ca2004.1_all.deb
Size: 58540
MD5sum: c7ca4b7d9321f62a86bbe8bf82f01c19
SHA1: 2b73be59dc02a54af0a7ba815d749d76a5a3e457
SHA256: ded7cc4b0d6b9153a9a19a8d740392d145df68c60b371dfa42cb951e54724d85
SHA512: 6344114a5ab222100b1c7cfa82a03ecf89956d7d2ef88279d64e089235d4b1d156c1724afd35fc5376fc64c665b08af1ed95b8172b7b36a66db51ef11833f053
Homepage: https://cran.r-project.org/package=Rtwalk
Description: CRAN Package 'Rtwalk' (The R Implementation of the 't-walk' MCMC Algorithm)
 The 't-walk' is a general-purpose MCMC sampler for arbitrary continuous
 distributions that requires no tuning.

Package: r-cran-rtweet
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1326
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bit64, r-cran-curl, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-progress, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-askpass, r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-httpuv, r-cran-igraph, r-cran-knitr, r-cran-magick, r-cran-maps, r-cran-openssl, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vcr, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-rtweet_2.0.0-1.ca2004.1_all.deb
Size: 1093760
MD5sum: 8e356dcd4d3ef9fb28a2cdb3871faa10
SHA1: 990a026567147db8b44f2ef79aec13dba1aa043c
SHA256: 6314e3e14f8751d908d7b42027057b06ae9cdaa45c7532e06e866b4c3a06deed
SHA512: 35dec6f66db0793a1cf867c4dab0f92081c0f1e43cfa1c8ce00f9eef9cd078afe75f71da46fd1ec5139bb4e6a578e1d19273db516572a5b9e9d751135c26366d
Homepage: https://cran.r-project.org/package=rtweet
Description: CRAN Package 'rtweet' (Collecting Twitter Data)
 An implementation of calls designed to collect and organize Twitter data via
 Twitter's REST and stream Application Program Interfaces (API), which can be
 found at the following URL: <https://developer.twitter.com/en/docs>.

Package: r-cran-rtype
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rtype_0.1-1-1.ca2004.1_all.deb
Size: 21312
MD5sum: 697b073d2a2ec5091e433d1e22bc21a5
SHA1: bd726f23fd653e4cb5382485a063c69ec749d05b
SHA256: ce0c27f5a2396bd7521d9261997a985884ae129cbcaf42d508002e239486498f
SHA512: 143a65c971e08b84410aec0f33d18ef2eb82de6d60deba4c705f28cb01bae52b0f3844d6b491c5f7f3151a0cbd7f3615530707b7ef8ad847d283f87594c0aeee
Homepage: https://cran.r-project.org/package=rtype
Description: CRAN Package 'rtype' (A strong type system for R)
 A strong type system for R which supports symbol declaration and assignment
 with type checking and condition checking.

Package: r-cran-rtypeform
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rtypeform_2.1.1-1.ca2004.1_all.deb
Size: 66712
MD5sum: e354f0ce6f1292fe8487db7f98caf581
SHA1: d10fa62b6c6c5ce83271bd8e512fec7818c2f206
SHA256: bb18c0a14603ac0bbd897ea8eafaad839efd9ff94b33d4dc00343ac567582974
SHA512: 7f0b76e3a6bc2d94107268060b2a2d0b6f494707a884f5514e863e9b8a0fcfd63fce74a00a00afebe8ffd38685ddc83d5918b48584e57e09b8d8df5e73ed64d3
Homepage: https://cran.r-project.org/package=rtypeform
Description: CRAN Package 'rtypeform' (Interface to 'typeform' Results)
 An R interface to the 'typeform' <https://www.typeform.com/> application
 program interface.  Also provides functions for downloading your results.

Package: r-cran-rucm
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kfas
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rucm_0.6-1.ca2004.1_all.deb
Size: 41184
MD5sum: 84ae4f284052afab70be64e9b52a16eb
SHA1: 6588d9a3c64ba42cdfa7f3bb7ae7ef4e8d6bb893
SHA256: 31d5257a2eedc0c42d1c01e9946dd00fa50febcdc70e256e34de06e06bedfc52
SHA512: 1b67466d627e0c887372d38fa7fb123c1a0195e1bb6e44b4703fdfb6936d944ba74af6be6df5f283bb7eb58eed1336461286312d6d68726a2617d23962d1a8cf
Homepage: https://cran.r-project.org/package=rucm
Description: CRAN Package 'rucm' (Implementation of Unobserved Components Model (UCM))
 Unobserved Components Models (introduced in Harvey, A. (1989), Forecasting,
 structural time series models and the Kalman filter, Cambridge New York:
 Cambridge University Press) decomposes a time series into components such as
 trend, seasonal, cycle, and the regression effects due to predictor series
 which captures the salient features of the series to predict its behavior.

Package: r-cran-ruijter
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2490
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-ruijter_0.1.3-1.ca2004.1_all.deb
Size: 2474096
MD5sum: e68b50971c84218ba0b00bd74e4efb0e
SHA1: b2835f087e5a647d364347142961aa92953b408e
SHA256: 90018f3fcccdd095c0ff2788e87dfe3bfe281295096d53f885b1bd96c9382c9d
SHA512: 8411b8889b5e4749b09abaddaa9bb79656047dd0c00ebfe913d48ca6d695f844a147e43bccb422b7543a11e88eb2aa8563c3a6d9ebd04e2438429bf803f5cbe3
Homepage: https://cran.r-project.org/package=ruijter
Description: CRAN Package 'ruijter' (Technical Data Sets by Ruijter et al. (2013))
 The real-time quantitative polymerase chain reaction (qPCR) technical data
 sets by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>: (i) the
 four-point 10-fold dilution series; (ii) 380 replicates; and (iii) the
 competimer data set. These three data sets can be used to benchmark qPCR
 methods. Original data set is available at
 <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>.
 This package fixes incorrect annotations in the original data sets.

Package: r-cran-ruin
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-actuar, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ruin_0.1.1-1.ca2004.1_all.deb
Size: 119612
MD5sum: 13bb9e6eaa9572958a29f2dc8e6fb1ec
SHA1: 2236a33c85d7358754842b0185089b0d286c04f8
SHA256: 79691bcf9d4f29732fa07cf353d61993bad9810296ddd47267184b06a73055f0
SHA512: b4d15aa667c1f3bbbca5834c30d211f6c0d0a0db26b4866471c45c58d24a18064bbcea39ca7b17c94cb3dea7fa1f3b4dba0fd5fbc09b4e003948c574f995e641
Homepage: https://cran.r-project.org/package=ruin
Description: CRAN Package 'ruin' (Simulation of Various Risk Processes)
 A (not yet exhaustive) collection of common models of risk processes in
 actuarial science, represented as formal S4 classes. Each class (risk model)
 has a simulator of its path, and a plotting function. Further, a Monte-Carlo
 estimator of a ruin probability for a finite time is implemented, using a
 parallel computation. Currently, the package extends two classical risk
 models Cramer-Lundberg and Sparre Andersen models by including capital
 injections, that are positive jumps (see Breuer L. and Badescu A.L. (2014)
 <doi:10.1080/03461238.2011.636969>). The intent of the package is to provide
 a user-friendly interface for ruin processes' simulators, as well as a solid
 and extensible structure for future extensions.

Package: r-cran-ruler
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-keyholder, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ruler_0.3.0-1.ca2004.1_all.deb
Size: 132268
MD5sum: e7c2960b7a6f1a5d02d21a0fbc180ca5
SHA1: 37092a571a0abc03a6cdc01cc4f3e7ff07c1f9ed
SHA256: c8ae1204128a77fa41981f177a76c2447aca806d74b3bd93e91f5e31101a89c8
SHA512: e6db510c8cc77f34bf0aaa4beae742ce47d6c1b66de7940c49f15482cc156abc2e38b56741df54926adeecbfd190a587cf77a363e00f8d432bf66218f208eb0b
Homepage: https://cran.r-project.org/package=ruler
Description: CRAN Package 'ruler' (Tidy Data Validation Reports)
 Tools for creating data validation pipelines and tidy reports. This package
 offers a framework for exploring and validating data frame like objects
 using 'dplyr' grammar of data manipulation.

Package: r-cran-rules
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-parsnip, r-cran-dials, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-c50, r-cran-covr, r-cran-cubist, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-xrf
Filename: pool/dists/focal/main/r-cran-rules_1.0.2-1.ca2004.1_all.deb
Size: 151980
MD5sum: 2b4fe1fa6b7d7d01c467fc9dd289048d
SHA1: 7610a1c891eb8bbf057294ebc3fa83756261a493
SHA256: 3e5aba7f67df8e96ab799e352f5362f3bd6ca82402727186598c115586aaed9c
SHA512: 6f2181cdfd132c4e51e713f9a02aa15d7560cf8a9296801349a93a2a7c57f727db1b92d8a05add80e1c54192796db4712bd890340078dff68b547023fbd1bbe6
Homepage: https://cran.r-project.org/package=rules
Description: CRAN Package 'rules' (Model Wrappers for Rule-Based Models)
 Bindings for additional models for use with the 'parsnip' package.  Models
 include prediction rule ensembles (Friedman and Popescu, 2008)
 <doi:10.1214/07-AOAS148>, C5.0 rules (Quinlan, 1992 ISBN: 1558602380), and
 Cubist (Kuhn and Johnson, 2013) <doi:10.1007/978-1-4614-6849-3>.

Package: r-cran-rulestools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mice, r-cran-arules, r-cran-ggplot2, r-cran-tidyr, r-cran-eulerr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-rulestools_0.1.1-1.ca2004.1_all.deb
Size: 68364
MD5sum: 9dfe66adb494077163ed803b41b63055
SHA1: a703439bc9cf2e8d0c1f0aeb530e187970b0442f
SHA256: 03b21423978acb36a8a179cbb288b22df297f9f53b6c0d2b2b5a8b0f64782371
SHA512: b3789cc645ad77e1f5275d6f92f219051ab9e96cbee303b99656a822026d47c36581553bd0d4519718bee18abb271e5d07381eaa331572a89466942a97dcb584
Homepage: https://cran.r-project.org/package=RulesTools
Description: CRAN Package 'RulesTools' (Preparing, Analyzing, and Visualizing Association Rules)
 Streamlines data preprocessing, analysis, and visualization for association
 rule mining. Designed to work with the 'arules' package, features include
 discretizing data frames, generating rule set intersections, and visualizing
 rules with heatmaps and Euler diagrams. 'RulesTools' also includes a dataset
 on Brook trout detection from Nolan et al. (2022)
 <doi:10.1007/s13412-022-00800-x>.

Package: r-cran-rum
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3174
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bookdown, r-cran-conflicted, r-cran-glue, r-cran-gtsummary, r-cran-here, r-cran-quarto, r-cran-readr, r-cran-rio, r-cran-rlang, r-cran-rmarkdown, r-cran-roxygen2, r-cran-stringr, r-cran-table1, r-cran-tidymodels, r-cran-tidyverse, r-cran-usethis
Suggests: r-cran-knitr, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-rum_2.1.0-1.ca2004.1_all.deb
Size: 2070552
MD5sum: 22229d059299388c1167c24b0b5928b0
SHA1: 5e97a117735bcae138cac86c70ad18f66a2b1155
SHA256: f831856ffe5eea2f47b5ac3a82abffe3ee42aa6e3c67cb3f2e486dc2dc5ace9e
SHA512: f70d9006e045397b753507f1b5a0f64651b2bd9ed5be73cf615f6d9523f4f867766ff49d9946115eb1287332189d522e4851fc5f4ad39b55e288be1ac00b5b38
Homepage: https://cran.r-project.org/package=rUM
Description: CRAN Package 'rUM' (R Templates from the University of Miami)
 This holds some r markdown and quarto templates and a template to create a
 research project in "R Studio".

Package: r-cran-rumidas
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maxlik, r-cran-roll, r-cran-xts, r-cran-tseries, r-cran-rdpack, r-cran-lubridate, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rumidas_0.1.3-1.ca2004.1_all.deb
Size: 601340
MD5sum: 6ba4a9d628d842276d1319775717c449
SHA1: ae8ebbf69c0c22e972f1a2eefffa1e82fcea7b51
SHA256: dbd68093fe1826373ac69900e83bb1372ed8cefae1640d2552fa185dabaf9245
SHA512: 9ba9ad7d2da038222a730ee373362f67885fe2936df81a0d48b6c7ed96cee7729a1a69a9c3de3259b96aed277d140eff2d164715347c7190423aa39d653de80e
Homepage: https://cran.r-project.org/package=rumidas
Description: CRAN Package 'rumidas' (Univariate GARCH-MIDAS, Double-Asymmetric GARCH-MIDAS andMEM-MIDAS)
 Adds the MIxing-Data Sampling (MIDAS, Ghysels et al. (2007)
 <doi:10.1080/07474930600972467>) components to a variety of GARCH and MEM
 (Engle (2002) <doi:10.1002/jae.683>, Engle and Gallo (2006)
 <doi:10.1016/j.jeconom.2005.01.018>, and Amendola et al. (2024)
 <doi:10.1016/j.seps.2023.101764>) models, with the aim of predicting the
 volatility with additional low-frequency (that is, MIDAS) terms. The
 estimation takes place through simple functions, which provide in-sample and
 (if present) and out-of-sample evaluations. 'rumidas' also offers a summary
 tool, which synthesizes the main information of the estimated model. There
 is also the possibility of generating one-step-ahead and multi-step-ahead
 forecasts.

Package: r-cran-ruminate
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1866
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-dt, r-cran-flextable, r-cran-formods, r-cran-ggplot2, r-cran-onbrand, r-cran-pknca, r-cran-plotly, r-cran-rhandsontable, r-cran-rlang, r-cran-shiny, r-cran-shinyace, r-cran-shinywidgets, r-cran-stringr, r-cran-tidyr, r-cran-yaml, r-cran-zip
Suggests: r-cran-babelmixr2, r-cran-cli, r-cran-clipr, r-cran-gridextra, r-cran-knitr, r-cran-nlmixr2lib, r-cran-nonmem2rx, r-cran-nlmixr2, r-cran-prompter, r-cran-rmarkdown, r-cran-readxl, r-cran-rxode2, r-cran-shinybusy, r-cran-shinydashboard, r-cran-testthat, r-cran-ubiquity
Filename: pool/dists/focal/main/r-cran-ruminate_0.3.1-1.ca2004.1_all.deb
Size: 1323752
MD5sum: 8d00242064f0144d73c9e36074b02589
SHA1: 48bd6a27dcdb39a45266bedb13a9f7e1164ab309
SHA256: 037789338752e192e0e44ec6aa73214d443deb1ee2b5517df245a2317a5f7569
SHA512: 02d4e322bf42840c92fde7ae10ee199b932728da5ec1179581322ecd5f51823b976007837e1cb9338eb9b72fe1e652acdb23d3c7b848d455b40aa50289edf26f
Homepage: https://cran.r-project.org/package=ruminate
Description: CRAN Package 'ruminate' (A Pharmacometrics Data Transformation and Analysis Tool)
 Exploration of pharmacometrics data involves both general tools
 (transformation and plotting) and specific techniques (non-compartmental
 analysis). This kind of exploration is generally accomplished by utilizing
 different packages. The purpose of 'ruminate' is to create a 'shiny'
 interface to make these tools more broadly available while creating
 reproducible results.

Package: r-cran-runcharter
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-magrittr, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-pkgdown, r-cran-testthat, r-cran-nhsrdatasets
Filename: pool/dists/focal/main/r-cran-runcharter_0.2.0-1.ca2004.1_all.deb
Size: 449024
MD5sum: d2acb1511b045ac5e5a77cb1fc9f604a
SHA1: 3bfcbb6686ce800ec6c9fb420dd6e8fbf284d1b2
SHA256: 29415daeabda9569bb5079ac2984d9215693a7154e3c9d75c50edf1e5ae251b0
SHA512: 78695f1822f8548c18bcacbec6c58cd0d70522a3b076f636af2e417e427d489fb68f2ab1bfac80e5889604695e5fdbc3c5440376f9f46ce1678ff7457372c187
Homepage: https://cran.r-project.org/package=runcharter
Description: CRAN Package 'runcharter' (Automatically Plot, Analyse and Revises Limits of Multiple RunCharts)
 Plots multiple run charts, finds successive signals of improvement, and
 revises medians when each signal occurs. Finds runs above, below, or on both
 sides of the median, and returns a plot and a data.table summarising
 original medians and any revisions, for all groups within the supplied data.

Package: r-cran-rundrt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-fda, r-cran-fdboost, r-cran-refund, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rundrt_0.1.0-1.ca2004.1_all.deb
Size: 20188
MD5sum: f390569aab2188d2ff64e0f7ca62b090
SHA1: 24d66788560b61da0e37ffc99db442f201c35c5f
SHA256: 3a1ff4d6b76bd4e3da1c80de33a196e95a2e1caccae7ebc78dc43d4d45e2119f
SHA512: 98383471a59ac3a061ec626488a5bfd30521b1cb622afa2e44afeb25997b8e9354981c176d55810c08e0040b9af0a0238be71dfa499052a40dce55b63d9d0d51
Homepage: https://cran.r-project.org/package=runDRT
Description: CRAN Package 'runDRT' (Run Doubly Ranked Tests)
 Doubly ranked tests are nonparametric tests for grouped functional and
 multivariate data.  The testing procedure first ranks a matrix (or three
 dimensional array) of data by column (if a matrix) or by cell (across the
 third dimension if an array).  By default, it calculates a sufficient
 statistic for the subject's order within the sample using the observed
 ranks, taken over the columns or cells.  Depending on the number of groups,
 G, the summarized ranks are then analyzed using either a Wilcoxon Rank Sum
 test (G = 2) or a Kruskal-Wallis (G greater than 2).

Package: r-cran-runes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-runes_0.1.0-1.ca2004.1_all.deb
Size: 20968
MD5sum: 3ea8f79c22430c0b12d779ea8e1ed01c
SHA1: 1307eaedbb0ff58b5d635a831acb4cdc00c8aea1
SHA256: f45468c968400f0c4ed684ac4b7535706be3d402c94e9f31ef869eb726740553
SHA512: 03cfbd4bc9741ddf53bb8c16f391a1dcec785b4233ec8d29dfff48b405ad6d811a88a48368797059ec5e48530df5785ca99d612ceff85f129d32b7c99177301e
Homepage: https://cran.r-project.org/package=runes
Description: CRAN Package 'runes' (Convert Strings to Elder Futhark Runes)
 Convert a string of text characters to Elder Futhark Runes
 <https://en.wikipedia.org/wiki/Elder_Futhark>.

Package: r-cran-runexampleswrapper
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-runexampleswrapper_1.0-1.ca2004.1_all.deb
Size: 113524
MD5sum: f6c35efb372628aa8251530b51fa17a5
SHA1: 24c391d92cff67663eff9219dec8f1881ed3897c
SHA256: 93defb0c0b8ff335a2c4a996919c507ab5d2305a1c00712ea745cf6c914dbee6
SHA512: 953ae7ff06f5b2865d88d940123240ccdf8f150a6dfab45388538315b7e5315c81cacd3a89a38dd45500d5b8614e593d80f81398cc8a7ae5cdae223c180161ba
Homepage: https://cran.r-project.org/package=runExamplesWrapper
Description: CRAN Package 'runExamplesWrapper' (Wrapper for 'run_examples()')
 Captures errors encountered when running 'run_examples()', and processes and
 archives them. The function 'run_examples()' within the 'devtools' package
 allows batch execution of all of the examples within a given package. This
 is much more convenient than testing each example manually. However, a major
 inconvenience is that if an error is encountered, the program stops and does
 not complete testing the remaining examples. Also, there is not a systematic
 record of the results, namely which package functions had no examples, which
 had examples that failed, and which had examples that succeeded. The current
 package provides the missing functionality.

Package: r-cran-runexp
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-xml2, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-runexp_0.2.1-1.ca2004.1_all.deb
Size: 90264
MD5sum: fade5eee9f2f71020e8b326f5fc1c3f6
SHA1: 01dfb5d34b2c9bfdce0c0afde85b0baaee518e76
SHA256: d93ee540f9aec2fdfdc274cb9a868ffe5c90a3d5a92a52ca522a90b35adbded2
SHA512: b03eb4511be983671e41dbd143500737eff7b4325652046ed3ac6e0f838611ad089545125b50009ac2b07d768d12a39019414e5212ea844f63f1402b1e0c8eff
Homepage: https://cran.r-project.org/package=runexp
Description: CRAN Package 'runexp' (Softball Run Expectancy using Markov Chains and Simulation)
 Implements two methods of estimating runs scored in a softball scenario: (1)
 theoretical expectation using discrete Markov chains and (2) empirical
 distribution using multinomial random simulation.  Scores are based on
 player-specific input probabilities (out, single, double, triple, walk, and
 homerun).  Optional inputs include probability of attempting a steal,
 probability of succeeding in an attempted steal, and an indicator of whether
 a player is "fast" (e.g. the player could stretch home).  These
 probabilities may be calculated from common player statistics that are
 publicly available on team's webpages.  Scores are evaluated based on a
 nine-player lineup and may be used to compare lineups, evaluate base
 scenarios, and compare the offensive potential of individual players.
 Manuscript forthcoming.  See Bukiet & Harold (1997)
 <doi:10.1287/opre.45.1.14> for implementation of discrete Markov chains.

Package: r-cran-runit
Architecture: all
Version: 0.4.33.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-xml
Filename: pool/dists/focal/main/r-cran-runit_0.4.33.1-1.ca2004.1_all.deb
Size: 248236
MD5sum: e82c3b35e06e12f67f5ac09fa19a9d0f
SHA1: 5471e2f8675d5555e139230b65c0e812c9adca8b
SHA256: fd4ca604af6ef8021a1485c08af7b9614066dd4a40b49a0e5f452487410729b8
SHA512: 59983e74bcf216fc04c6911247b6b0f99d48270a79d9d2a92bd594eaa9edd861e3f740dfe6edbb72eda29f20db5a2563a9678283f746c73c091d4cb03508ff50
Homepage: https://cran.r-project.org/package=RUnit
Description: CRAN Package 'RUnit' (R Unit Test Framework)
 R functions implementing a standard Unit Testing framework, with additional
 code inspection and report generation tools.

Package: r-cran-runiversal
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-runiversal_1.0.2-1.ca2004.1_all.deb
Size: 28588
MD5sum: 157ce521c9c666043c7e86eae17ed958
SHA1: 7c1839f457f9fccf36a7978e5e2a51c009314f45
SHA256: fbee6295749ea520aac0ba9b6c4041459f558c994632b8d68c83a278417c798b
SHA512: cfcd39ca2895ae51b2dd9b2213167354e7cb2dfee2c527e7ea358fb0cc4babfc1eb1b1162bbb41adf12be6d233be755becfe796cbe30a1c84e0009920ef1c200
Homepage: https://cran.r-project.org/package=Runiversal
Description: CRAN Package 'Runiversal' (Runiversal - Package for converting R objects to Java variablesand XML)
 This package contains some functions for converting R objects to Java style
 variables and XML. Generated Java code is interpretable by dynamic Java
 libraries such as Beanshell.  Calling R externally and handling the Java or
 XML output is an other way to call R from other languages without native
 interfaces. For a Java implementation of this approach visit
 http://www.mhsatman.com/rcaller.php and
 http://stdioe.blogspot.com/search/label/rcaller

Package: r-cran-runmcmcbtadjust
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda
Suggests: r-cran-nimble, r-cran-rjags, r-cran-runjags, r-cran-greta, r-cran-r6, r-cran-tensorflow, r-cran-ggmcmc, r-cran-rstan, r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-nimbleapt, r-cran-nimblehmc, r-cran-hmisc, r-cran-moments
Filename: pool/dists/focal/main/r-cran-runmcmcbtadjust_1.1.2-1.ca2004.1_all.deb
Size: 272484
MD5sum: bb02cf1a0c5484f5987a49f8ed496dab
SHA1: 573dd158e89622092793f7504ef85468f925a4ea
SHA256: 9c8c6a92fd34b59e53699712fb8090d9d65c594930aa9085a1b2ec8a85505f53
SHA512: a8041569509a7b8e5fe43d1b050875318fcee498d1ba22611d3004aa264a170c5b781fb6fade8432ecc9e91931181a7bfb26d57ece2e021c15d6f44cc9fb1ca3
Homepage: https://cran.r-project.org/package=runMCMCbtadjust
Description: CRAN Package 'runMCMCbtadjust' (Runs Monte Carlo Markov Chain - With Either 'JAGS', 'nimble' or'greta' - While Adjusting Burn-in and Thinning Parameters)
 The function runMCMC_btadjust() returns a mcmc.list object which is the
 output of a Markov Chain Monte Carlo obtained - from either 'JAGS', 'nimble'
 or 'greta' - after adjusting burn-in and thinning parameters to meet
 pre-specified criteria in terms of convergence & effective sample size. Used
 with 'nimble', runMCMC_btadjust() allows extra calculations (e.g.
 information criteria for model comparison and goodness-of-fit p-values for
 model diagnosis).

Package: r-cran-runonce
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bigassertr, r-cran-urltools
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-runonce_0.2.3-1.ca2004.1_all.deb
Size: 20744
MD5sum: 2ff68fe431a4499b7885c872e0b6726f
SHA1: 333049bccf2b399045f04aafc959adde468b29f3
SHA256: 193bb0eeabbf884dbc9f46f32788de135f98fcd999023cf26858cd6991950e51
SHA512: df55c62c5aae8bdd3036ab81e512e39b05be684bfc454ea3fbc4265f7f575437c01e99198501d100db520b1a347998ffe291c3bf4c1feda5107880797867d25c
Homepage: https://cran.r-project.org/package=runonce
Description: CRAN Package 'runonce' (Run Once and Save Result)
 Package 'runonce' helps automating the saving of long-running code to help
 running the same code multiple times. If you run some long-running code
 once, it saves the result in a file on disk. Then, if the result already
 exists, i.e. if the code has already been run and its output has already
 been saved, it just reads the result from the stored file instead of running
 the code again.

Package: r-cran-runstats
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fftwtools
Suggests: r-cran-covr, r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-rbenchmark, r-cran-cowplot, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-runstats_1.1.0-1.ca2004.1_all.deb
Size: 3596024
MD5sum: 4a319240421e82441536439474e310c3
SHA1: 0ee610bd75464fc0fa860bd0fb08b9195697c47e
SHA256: 4ae62702e8ae5efdc76c2c3259af499f8b81642c70cf4ff7c9f8f30916b35a5b
SHA512: 3611099bc4cd27be33cb05d9c0556aed5b2d0cca76740fb8d278facfc8ec2ec16eddc62d680b523ba20dc2125d058768d846c6c8ba7bb43e67293ec4485cc819
Homepage: https://cran.r-project.org/package=runstats
Description: CRAN Package 'runstats' (Fast Computation of Running Statistics for Time Series)
 Provides methods for fast computation of running sample statistics for time
 series. These include: (1) mean, (2) standard deviation, and (3) variance
 over a fixed-length window of time-series, (4) correlation, (5) covariance,
 and (6) Euclidean distance (L2 norm) between short-time pattern and
 time-series. Implemented methods utilize Convolution Theorem to compute
 convolutions via Fast Fourier Transform (FFT).

Package: r-cran-rusda
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-httr, r-cran-plyr, r-cran-foreach, r-cran-stringr, r-cran-testthat, r-cran-taxize, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rusda_1.0.8-1.ca2004.1_all.deb
Size: 62236
MD5sum: 7c8bf7b181e81ffd31240ef6eeffd7cb
SHA1: 32bf4ae860b6b1d564f48d11ca8878b34ec99c3f
SHA256: 4f93b7bf2b4b2dfc78f4a4c5ab46191f27ded28a4509c2c1b7156a69fb0d55c1
SHA512: 253d355852170877e503ec89cccad883a18af3f98700dff603534a7f4c99bed21772456609b3fda94833840ce66c717fdb818489505cad7fe92099829e482bde
Homepage: https://cran.r-project.org/package=rusda
Description: CRAN Package 'rusda' (Interface to USDA Databases)
 An interface to the web service methods provided by the United States
 Department of Agriculture (USDA). The Agricultural Research Service (ARS)
 provides a large set of databases. The current version of the package holds
 interfaces to the Systematic Mycology and Microbiology Laboratory (SMML),
 which consists of four databases: Fungus-Host Distributions, Specimens,
 Literature and the Nomenclature database. It provides functions for querying
 these databases. The main function is \code{associations}, which allows
 searching for fungus-host combinations.

Package: r-cran-rush
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-ids, r-cran-jsonlite, r-cran-lgr, r-cran-mirai, r-cran-mlr3misc, r-cran-processx, r-cran-r6, r-cran-redux, r-cran-uuid
Suggests: r-cran-callr, r-cran-knitr, r-cran-quarto, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rush_0.2.0-1.ca2004.1_all.deb
Size: 253532
MD5sum: 549df90fb3f00198a6bb484389a73164
SHA1: 2a96acb2afdcb3a5880625f3a948528e58c315f9
SHA256: 1527eeb98b7b31a323712c6cf26c7ee60ff46c23d17c150ddeb07c0c38a91297
SHA512: 5e6e366874c03abda1ae7c5003d95c291cb9371b3763a96c84588829e654da21d7d61f5c525d72793daeb3777e2e85977c459908556b3563d4e7ae5af92b2cea
Homepage: https://cran.r-project.org/package=rush
Description: CRAN Package 'rush' (Rapid Asynchronous and Distributed Computing)
 Package to tackle large-scale problems asynchronously across a distributed
 network. Employing a database centric model, rush enables workers to
 communicate tasks and their results over a shared 'Redis' database. Key
 features include low task overhead, efficient caching, and robust error
 handling. The package powers the asynchronous optimization algorithms in the
 'bbotk' and 'mlr3tuning' packages.

Package: r-cran-rusk
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-reshape2, r-cran-shiny, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-rusk_0.1.1-1.ca2004.1_all.deb
Size: 22720
MD5sum: 9dca0fa9f5c91939565999ecbc14cf62
SHA1: 4553b7f7623dd5e7c040bb0ecfd57fd2084d3cc0
SHA256: d4ade9aed8d9ee3608a599b3f91a04cda36dd2bb8013ea76e14932bd0c7210d3
SHA512: eedc4dfc8c96f28d4b876f7df2c57c479a6df7c24652fd72f19c7fb7cba4bc3001beebf14d4e0583e5f566ee924c941b0686bf42674f8a2795586b500baeb520
Homepage: https://cran.r-project.org/package=rusk
Description: CRAN Package 'rusk' (Beautiful Graphical Representation of Multiplication Tables on aModular Circle)
 By placing on a circle 10 points numbered from 1 to 10, and connecting them
 by a straight line to the point corresponding to its multiplication by 2. (1
 must be connected to 1 * 2 = 2, point 2 must be set to 2 * 2 = 4, point 3 to
 3 * 2 = 6 and so on). You will obtain an amazing geometric figure that
 complicates and beautifies itself by varying the number of points and the
 multiplication table you use.

Package: r-cran-rusquant
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quantmod, r-cran-data.table, r-cran-jsonlite, r-cran-httr, r-cran-xts, r-cran-xml, r-cran-stringr, r-cran-jose, r-cran-rvest, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-rusquant_1.1.4-1.ca2004.1_all.deb
Size: 201304
MD5sum: a8d5943a1de4cdb1ce54df79b28ddb86
SHA1: bc3ab37c03886f9c175628922c8d6aa7fbdf2e37
SHA256: 4461951d5201c51923b6acaee8dc1e001cad791fddf7bf391ad5d3b837a4b712
SHA512: 1c7744db4f5982b845eb24b13aa2c2066d8e8ac0ecd8a6dbeeaaf0bca35a4a61cb3d32e04f4d7022471497da4d4cdfa5a1b3f37c00bba6ecbef21defb696a9c5
Homepage: https://cran.r-project.org/package=rusquant
Description: CRAN Package 'rusquant' (Quantitative Trading Framework)
 Collection of functions to retrieve financial data from various sources,
 including brokerage and exchange platforms, financial websites, and data
 providers. Includes functions to retrieve account information, portfolio
 information, and place/cancel orders from different brokers. Additionally,
 allows users to download historical data such as earnings, dividends, stock
 splits.

Package: r-cran-ruta
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-purrr, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ruta_1.2.0-1.ca2004.1_all.deb
Size: 266108
MD5sum: 75c11ce492e499297f0e028cd890933c
SHA1: cd12f6afd3a3e0aaf96ba304c0c96e677e6d0118
SHA256: b94796a5f93c9750265f48aa8325f50edcc8e9efa8cad6f32f6bfa01062903d4
SHA512: 6a1d5a5c09aea372f652b3b7e66db12272a52e9dc5d39297882d9d042b06272cf16d6f3f9ea5af3cafbb96769588a3bc9436cbf4ebb65fcad9c37bb820564cc3
Homepage: https://cran.r-project.org/package=ruta
Description: CRAN Package 'ruta' (Implementation of Unsupervised Neural Architectures)
 Implementation of several unsupervised neural networks, from building their
 architecture to their training and evaluation. Available networks are
 auto-encoders including their main variants: sparse, contractive, denoising,
 robust and variational, as described in Charte et al. (2018)
 <doi:10.1016/j.inffus.2017.12.007>.

Package: r-cran-rutifier
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-rutifier_1.0.4-1.ca2004.1_all.deb
Size: 20192
MD5sum: 2628da3195c8696f6127d515c20f3d69
SHA1: 11e414c8a98d22bff077535df5b931a8c0e7182d
SHA256: 023b0099adc2e9bbb2b06e00b8c9b72c9d1665733d5cfaab32f02c6c654fabe9
SHA512: a8b2be707c8f96ef352388e7cbc8b0224b5061cf8d3b22a4ee927b1ef8ab4e3d6a22c5c6dcc0f7e7e89f88b98eff9d3d6c4e5138ec81c18aad4e3cd950d6d98a
Homepage: https://cran.r-project.org/package=rutifier
Description: CRAN Package 'rutifier' (Chilean Rol Unico Tributario)
 A RUT (Rol Unico Tributario) is an unique and personal identification number
 implemented in Chile to identify citizens and taxpayers. Rutifier allows to
 validate if a RUT exist or not and change between the different formats a
 RUT can have.

Package: r-cran-rutledge
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3784
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rutledge_0.1.1-1.ca2004.1_all.deb
Size: 2406200
MD5sum: c155f8e90615d16209b8960ea4779aab
SHA1: 25f476c4917b6227e0b5e2564d0bef8a660da395
SHA256: f5bb3ec9ed26b9f79ebf95b1690bf9160f19c02d54c25f7f6cb300bd777feda4
SHA512: 40a2e7c861fc8199e07d7cf355d6306c353e372b1b9599a9aacb08cf36192f47f4ac8aa18df61851458ee4e34d8a9fc82a9f589d41119f62ddcf51a73face0d2
Homepage: https://cran.r-project.org/package=rutledge
Description: CRAN Package 'rutledge' (Real-Time PCR Data Sets by Rutledge et al. (2004))
 Real-time quantitative polymerase chain reaction (qPCR) data by Rutledge et
 al. (2004) <doi:10.1093/nar/gnh177> in tidy format. The data comprises a
 six-point, ten-fold dilution series, repeated in five independent runs, for
 two different amplicons. In each run, each standard concentration is
 replicated four times. For the original raw data file see the Supplementary
 Data section:
 <https://academic.oup.com/nar/article/32/22/e178/2375678#supplementary-data>.

Package: r-cran-rv
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 686
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rv_2.3.5-1.ca2004.1_all.deb
Size: 500528
MD5sum: 1d94e08f9cf4050605be94ec7f5343dc
SHA1: d10f5f771d51ffd6e1fb31ef9353187cd842d46c
SHA256: aec8f25b23ef8b4a6b07da1fd8697f61e714577c665c3a00fe8f42f290d4ba13
SHA512: 4ab88b811106f104d906a7508342ecb356be6eeca09091c7b4abc320ffd29d339f153d08ad8d270ea888fde7aee7a16043c28d333ee0ee87d34f558b9d6b0856
Homepage: https://cran.r-project.org/package=rv
Description: CRAN Package 'rv' (Simulation-Based Random Variable Objects)
 Implements a simulation-based random variable class and a suite of methods
 for extracting parts of random vectors, calculating extremes of random
 vectors, and generating random vectors under a variety of distributions
 following Kerman and Gelman (2007) <doi:10.1007/s11222-007-9020-4>.

Package: r-cran-rva
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4611
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-gsvadata, r-bioc-clusterprofiler, r-cran-data.table, r-bioc-edger, r-bioc-org.hs.eg.db, r-bioc-complexheatmap, r-bioc-gseabase, r-cran-circlize, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-haven, r-cran-msigdbr, r-cran-plotly, r-cran-purrr, r-bioc-rwikipathways, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rva_0.0.5-1.ca2004.1_all.deb
Size: 4299424
MD5sum: 7b8846de5b724ed20b65cf43e372de56
SHA1: 289e99d919dd9f3f4652b8f54960bfccfac15893
SHA256: 188ba8fb24232b9b1becb31015167f488a75e97bb5abda49bd6b9c9987674b5f
SHA512: 43785ef09fded619838fe974f89e260eb7915208692bb3c8e407135b93953153f6eb4b29718da03fc971636e9b7bc83b2300ecb3ae94a41ffb688bd1bb7cc39e
Homepage: https://cran.r-project.org/package=RVA
Description: CRAN Package 'RVA' (RNAseq Visualization Automation)
 Automate downstream visualization & pathway analysis in RNAseq analysis.
 'RVA' is a collection of functions that efficiently visualize RNAseq
 differential expression analysis result from summary statistics tables. It
 also utilize the Fisher's exact test to evaluate gene set or pathway
 enrichment in a convenient and efficient manner.

Package: r-cran-rvaidememoire
Architecture: all
Version: 0.9-83-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1226
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ade4, r-cran-boot, r-cran-car, r-cran-factominer, r-cran-lme4, r-cran-mass, r-cran-nnet, r-cran-pls, r-cran-pspearman, r-cran-vegan
Suggests: r-cran-ape, r-cran-betareg, r-cran-dgof, r-cran-emmeans, r-cran-emt, r-cran-fsa, r-cran-glmmtmb, r-cran-labdsv, r-bioc-mixomics, r-cran-mumin, r-cran-mvnormtest, r-cran-ordinal, r-cran-rgcca, r-cran-statmod, r-cran-survival
Filename: pool/dists/focal/main/r-cran-rvaidememoire_0.9-83-11-1.ca2004.1_all.deb
Size: 1105228
MD5sum: 16f435693b0bfe7c60321a7d2801b1de
SHA1: ea1a28dbb8a1ff935d5bde5fe505a2aa2a257a27
SHA256: c0c4bcf4a9ed80571fc0d7f7da522352353ae0049ac1055994b162996986a442
SHA512: 65a208500045b4d1ba64f7bf2dbcd4ace4023d1f841040071ecf21c72aea70f139436d0827a3e7b3e404174f43514fbbe983327cd9daeb6056cf2fc1d257bbf0
Homepage: https://cran.r-project.org/package=RVAideMemoire
Description: CRAN Package 'RVAideMemoire' (Testing and Plotting Procedures for Biostatistics)
 Contains miscellaneous functions useful in biostatistics, mostly univariate
 and multivariate testing procedures with a special emphasis on permutation
 tests. Many functions intend to simplify user's life by shortening existing
 procedures or by implementing plotting functions that can be used with as
 many methods from different packages as possible.

Package: r-cran-rvcheck
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biocmanager, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-rvcheck_0.2.1-1.ca2004.1_all.deb
Size: 31220
MD5sum: 0c8f1db37764fed98077e9e4903434b0
SHA1: 4f50df5a60c6920499bff2f41f76cf9a0a67440d
SHA256: 1568278c3fde247a9fc2cba50472fb8469bfe6034b458813587d57a4f3d5d2b7
SHA512: 0cbdbfea1d927b45658d58c13b29602e51cc597e2f6e5553b4dc86f3648d7a3769ddce68bf29b4399a5f817b08f55106aaabc0573a1ee3e68da49d2aba6d8e72
Homepage: https://cran.r-project.org/package=rvcheck
Description: CRAN Package 'rvcheck' (R/Package Version Check)
 Check latest release version of R and R package (both in 'CRAN',
 'Bioconductor' or 'Github').

Package: r-cran-rvec
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 791
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-matrixstats, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-bookdown, r-cran-covr, r-cran-dplyr, r-cran-ggdist, r-cran-ggplot2, r-cran-knitr, r-cran-posterior, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-rvec_0.0.7-1.ca2004.1_all.deb
Size: 603400
MD5sum: 729931359a6547b85d16dba7499e91df
SHA1: 460eeeb89a49badfaf3ae8ba189cb39fe8bbf0bf
SHA256: 0a1c2a4e1c71ec3ee0c44d4a4fdcaf130463e25610e0e06c7403af3cdc773372
SHA512: 190da31b705fadd4a3fd0eef252fb6706fe1d94f149fa4d3cf356a1ba683cfc7c655cf4fa9e72fab3b515fa3a0ab12d3e83dd7970cdd45f67763e6d7d32dadbb
Homepage: https://cran.r-project.org/package=rvec
Description: CRAN Package 'rvec' (Vector Representing a Random Variable)
 Random vectors, called rvecs. An rvec holds multiple draws, but tries to
 behave like a standard R vector, including working well in data frames.
 Rvecs are useful for working with output from a simulation or a Bayesian
 analysis.

Package: r-cran-rveg
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 980
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rveg_0.1.6-1.ca2004.1_all.deb
Size: 594584
MD5sum: db670ba8e95860de3644e2866c03074e
SHA1: dcd3baad6a2882635c445423ea8f377ff4a12a26
SHA256: b8b961cb8976af2cc746ff2bc4144d24e6a43d40f60ef2c6663f3242bb90d936
SHA512: 966030cf8968b7560f0830fb0acc927bc09e598fb429ee92a23926945ef7e60430a60e6f5713ff06e4fa5ccfb2ce712c372a1f04fd6c6fde5f1a8cb1e4ae6d89
Homepage: https://cran.r-project.org/package=Rveg
Description: CRAN Package 'Rveg' (Digitization of Phytosociological Relevés)
 Simple and fast tool for transforming phytosociological vegetation data into
 digital form for the following analysis.  Danihelka, Chrtek, and Kaplan
 (2012, ISSN:00327786).  Hennekens, and Schaminée (2001)
 <doi:10.2307/3237010>.  Tichý (2002)
 <doi:10.1111/j.1654-1103.2002.tb02069.x>.  Wickham, François, Henry, Müller
 (2022) <https://CRAN.R-project.org/package=dplyr>.

Package: r-cran-rvenn
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1410
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggforce, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-pheatmap
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rvenn_1.1.0-1.ca2004.1_all.deb
Size: 708100
MD5sum: f5a3bb2261b3ee3558b101206bc9b39d
SHA1: c7d97fab1717d63f3685694b15271bb74a3ced00
SHA256: 2b4d90732a94c516dbdac19b16285221cb693ed8a89c6d3225c6896b0d5f95b4
SHA512: 4ee197e90c0d3121ea979a438076f16539e84750e8ad1e85e423e8d2295b385013d736ceb0ecf3014855eaf2f63c1f0c338e7f482c6632252a52ce4f6cf567d1
Homepage: https://cran.r-project.org/package=RVenn
Description: CRAN Package 'RVenn' (Set Operations for Many Sets)
 Set operations for many sets. The base functions for set operations in R can
 be used for only two sets. This package uses 'purr' to find the union,
 intersection and difference of three or more sets. This package also
 provides functions for pairwise set operations among several sets. Further,
 based on 'ggplot2' and 'ggforce', a Venn diagram can be drawn for two or
 three sets. For bigger data sets, a clustered heatmap showing
 presence/absence of the elements of the sets can be drawn based on the
 'pheatmap' package.  Finally, enrichment test can be applied to two sets
 whether an overlap is statistically significant or not.

Package: r-cran-rverbalexpressions
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rverbalexpressions_0.1.1-1.ca2004.1_all.deb
Size: 157940
MD5sum: 44116df89ff609b2e7421aedc21fd460
SHA1: 25979b8d8bdf9d99398790e8ad94b8c7198b0659
SHA256: 8c3c2712a0bf54e2a14d73531f8fe7b84ddc180c1e5132918f0f72b521030a46
SHA512: 012153a2e374eb9ec45dc7f90791b3fbe9e1316a66932842cd7cbba61e8bcfa1b2adafda7901f7b4eb8c19943d17e65eebea5d0c581e76b2be2082865037f83a
Homepage: https://cran.r-project.org/package=RVerbalExpressions
Description: CRAN Package 'RVerbalExpressions' (Create Regular Expressions Easily)
 Build regular expressions using grammar and functionality inspired by
 <https://github.com/VerbalExpressions>. Usage of the %>% is encouraged to
 build expressions in a chain-like fashion.

Package: r-cran-rversions
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-xml2
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rversions_2.1.2-1.ca2004.1_all.deb
Size: 65456
MD5sum: daa2cd85879292982b79cdab1a2b0e67
SHA1: 04ca71f55d572df602cb80f42e2530081aad064e
SHA256: 07ef7bd4595edc4c12f6b83ba9ac3bcd667fa51a92f52f7161cd9dc519abef1f
SHA512: b1148be69e95af2361ffa77b4112450af3139f7caa1e301453ec52b1a8c9ebaea81f6c2d08ccb689e5b767ca9360ad76d9dcf7813545ff34bd6757477cefddac
Homepage: https://cran.r-project.org/package=rversions
Description: CRAN Package 'rversions' (Query 'R' Versions, Including 'r-release' and 'r-oldrel')
 Query the main 'R' 'SVN' repository to find the versions 'r-release' and
 'r-oldrel' refer to, and also all previous 'R' versions and their release
 dates.

Package: r-cran-rvertnet
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-crul, r-cran-dplyr, r-cran-tibble, r-cran-ggplot2, r-cran-maps
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-rvertnet_0.8.4-1.ca2004.1_all.deb
Size: 100076
MD5sum: a15bb7139718e432d14875c42ea3fc79
SHA1: f9426c443c733d8fca56e28ca13d9cb118436969
SHA256: 9fb5602388991718cad90f33a5f8c955b3226aaaa36dfab51640edcfec6380a7
SHA512: 058b4393466a5287b85cd6d679c0f58a0ff6eeb931835cfd03e7a873484395cd061b5b69b45e8d7ebabf05dedf66968bf432c774d7e73d74b3a178e4f848c75a
Homepage: https://cran.r-project.org/package=rvertnet
Description: CRAN Package 'rvertnet' (Search 'Vertnet', a 'Database' of Vertebrate Specimen Records)
 Retrieve, map and summarize data from the 'VertNet.org' archives
 (<https://vertnet.org/>).  Functions allow searching by many parameters,
 including 'taxonomic' names, places, and dates. In addition, there is an
 interface for conducting spatially delimited searches, and another for
 requesting large 'datasets' via email.

Package: r-cran-rvest
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-httr, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-selectr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-chromote, r-cran-covr, r-cran-knitr, r-cran-r6, r-cran-readr, r-cran-repurrrsive, r-cran-rmarkdown, r-cran-spelling, r-cran-stringi, r-cran-testthat, r-cran-webfakes
Filename: pool/dists/focal/main/r-cran-rvest_1.0.4-1.ca2004.1_all.deb
Size: 288136
MD5sum: 521dac6f1b1d01ff738cfeb0db1d3fe9
SHA1: 456f4c36f7ab0074710dcc1ba0bef14ec7a0520e
SHA256: c6882a0793827f415feec45015b3c71a79afa815dd34dff3f2b40ffe8a523e29
SHA512: b13e6d9cea2193c7819ab9775885a54eec184d649f8ab6c6ac5165fe4993313abef1f2802e4d8c80a307639ad709316bb3b2429108dcacd66da86eb2a95c51e0
Homepage: https://cran.r-project.org/package=rvest
Description: CRAN Package 'rvest' (Easily Harvest (Scrape) Web Pages)
 Wrappers around the 'xml2' and 'httr' packages to make it easy to download,
 then manipulate, HTML and XML.

Package: r-cran-rvfam
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coxme, r-cran-survival, r-cran-lme4, r-cran-kinship2, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-rvfam_1.1-1.ca2004.1_all.deb
Size: 1069916
MD5sum: 04f19a74567ea4fb9ba28be1e75220db
SHA1: 7571bb0415e7500d962482d7cc8357dd81892366
SHA256: 9f90fb8b64e4a12e08efe7e6f2ea67c21f95a5bf9332014afecea8ed740e4eaf
SHA512: 3bfd18b615de9217f9ab71b0588ae13efc1a7092dc1848b8b0c23ecb65b680bcfd1f8f5d80530b328667e10c3bdd9a035f30fda77ddc80fb35ebe1ac4cca0127
Homepage: https://cran.r-project.org/package=RVFam
Description: CRAN Package 'RVFam' (Rare Variants Association Analyses with Family Data)
 The RVFam package provides functions to perform single SNP association
 analyses and gene-based tests for continuous, binary and survival traits
 against sequencing data (e.g. exome chip) using family data.

Package: r-cran-rvhpdt
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-rvhpdt_4.0-1.ca2004.1_all.deb
Size: 89028
MD5sum: 55828ef2c30bab7990fe507155586230
SHA1: 2cff8c2b5fede1b10b3403ec435adba54068a5bd
SHA256: 2a20582e28cc1150301f78164ca8a1ff890565e545e217c3e2cb24b6c3aa29d4
SHA512: 74dc9ad6a0066f11e32cfb9cc0502aa224c75217c98919d8ecff828a6693341009691b03f55b68145fe30824fdcee55ad0d0e469123c881ae7d051c20328ea46
Homepage: https://cran.r-project.org/package=rvHPDT
Description: CRAN Package 'rvHPDT' (Calling Haplotype-Based and Variant-Based PedigreeDisequilibrium Test for Rare Variants in Pedigrees)
 To detecting rare variants for binary traits using general pedigrees, the
 pedigree disequilibrium tests are proposed by collapsing rare
 haplotypes/variants with/without weights. To run the test, MERLIN is needed
 in Linux for haplotyping.

Package: r-cran-rvideopoker
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3881
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pixmap, r-cran-tkrplot, r-cran-rpanel
Filename: pool/dists/focal/main/r-cran-rvideopoker_0.3-1.ca2004.1_all.deb
Size: 622532
MD5sum: 64dc5799ab54bf1e4bb561f1b6a265a9
SHA1: ae1ee00ce8fdbccf7f4bd5f5c1a83990f5520cda
SHA256: b6e52bf30cee6a38e56f032e8db3765e3c6a83ec84a379fa0bc2970eb1905e90
SHA512: 54940a82d926eae2f467945520869a651b0d4782281763944aea257f4d9cf5917a8e40b7484d2e0a307cee0231be0b6e32c7f336f1dab8d010e2f30fc8cef66a
Homepage: https://cran.r-project.org/package=RVideoPoker
Description: CRAN Package 'RVideoPoker' (Play Video Poker with R)
 Play Video Poker with R, complete with a graphical user interface. So far,
 only "Jacks or Better" is implemented.

Package: r-cran-rviennacl
Architecture: all
Version: 1.7.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4965
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rviennacl_1.7.1.8-1.ca2004.1_all.deb
Size: 379684
MD5sum: a6485793cf6466516ee3d8a93deb6287
SHA1: e0bdaf6e89d460a9b6a6ec8c2efab6744dcb4233
SHA256: 1aed712e8dced5a8c133d2acfe4f9b330c3a31fea5e3cbeb413d146e4e5d8f24
SHA512: ffc07caff41620201e3e38425912fdf6bd6af70aab85f7eb31fb101147fc2be5f40918f3ab92cbbc3ce664156c532c476d6d89bb25c9fa0577f305079ddbcdab
Homepage: https://cran.r-project.org/package=RViennaCL
Description: CRAN Package 'RViennaCL' ('ViennaCL' C++ Header Files)
 'ViennaCL' is a free open-source linear algebra library for computations on
 many-core architectures (GPUs, MIC) and multi-core CPUs. The library is
 written in C++ and supports 'CUDA', 'OpenCL', and 'OpenMP' (including
 switches at runtime).  I have placed these libraries in this package as a
 more efficient distribution system for CRAN. The idea is that you can write
 a package that depends on the 'ViennaCL' library and yet you do not need to
 distribute a copy of this code with your package.

Package: r-cran-rviewgraph
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjava
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rviewgraph_1.4.2-1.ca2004.1_all.deb
Size: 396356
MD5sum: a111f69771546ffdc4f6188cfdfdf3b8
SHA1: fc5c6d23d110e3c143455f8c6afc369ab34d4026
SHA256: d4341e2c208b29a59354e9c20c78b3693a873835347f4a03947b983bc0a3510a
SHA512: eafbd47698b8745328ba59afae5bf36b91db8a85ee020f775139e85235dd6a1de99b69cc86afa0c31c740c9ff035cc51a35792b4b527d8fe6eaf566d71b48a5d
Homepage: https://cran.r-project.org/package=rviewgraph
Description: CRAN Package 'rviewgraph' (Animated Graph Layout Viewer)
 Provides 'Java' graphical user interfaces for viewing, manipulating and
 plotting graphs.  Graphs may be directed or undirected.

Package: r-cran-rvif
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-multicoll
Filename: pool/dists/focal/main/r-cran-rvif_2.0-1.ca2004.1_all.deb
Size: 47392
MD5sum: 60c1816d6e7543aa63189d3224c7288c
SHA1: afae978daac901b00ab4fba9085302119c479134
SHA256: 0117188e8d9e2903707011dde4bbf9b151e37fd5e7425887756d4ab9bae31de4
SHA512: a1a80fdd1904745f8c1c4ca276a6a83607741cec18e81ac409b811a9e9c7a66c7aed2caa7c00416bd3027992c31d26beaf52e5bc2598fbf24fd2e8c67566d7e3
Homepage: https://cran.r-project.org/package=rvif
Description: CRAN Package 'rvif' (Collinearity Detection using Redefined Variance Inflation Factorand Graphical Methods)
 The detection of troubling approximate collinearity in a multiple linear
 regression model is a classical problem in Econometrics. The objective of
 this package is to detect it using the variance inflation factor redefined
 and the scatterplot between the variance inflation factor and the
 coefficient of variation. For more details see Salmerón R., García C.B. and
 García J. (2018) <doi:10.1080/00949655.2018.1463376>, Salmerón, R.,
 Rodríguez, A. and García C. (2020) <doi:10.1007/s00180-019-00922-x>,
 Salmerón, R., García, C.B, Rodríguez, A. and García, C. (2022)
 <doi:10.32614/RJ-2023-010>, Salmerón, R., García, C.B. and García, J. (2024)
 <doi:10.1007/s10614-024-10575-8> and Salmerón, R., García, C.B, García J.
 (2023, working paper) <doi:10.48550/arXiv.2005.02245>.

Package: r-cran-rvipkg
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rvipkg_0.3.3-1.ca2004.1_all.deb
Size: 52408
MD5sum: 1b1f24c04b01109b7e825bc20ee3d8f2
SHA1: 814310fffe02029c8d101a726f0636cda38df472
SHA256: 28555737d52b0683941c5f2e7a9aff72f74a303937e7597a686aecc743c8f97e
SHA512: d885a354fadbf814ca4f1612b059ae5de1019925a2a239d7f013bc479b6e3a3bd563a0056b79619e270efd0adce8bb3c93be455b21bd7e0ff72de9923dbbfcca
Homepage: https://cran.r-project.org/package=RVIpkg
Description: CRAN Package 'RVIpkg' (Regional Vulnerability Index)
 The Regional Vulnerability Index (RVI), a statistical measure of brain
 structural abnormality, quantifies an individual's similarity to the
 expected pattern (effect size) of deficits in schizophrenia (Kochunov P, Fan
 F, Ryan MC, et al. (2020) <doi:10.1002/hbm.25045>).

Package: r-cran-rvisidata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rvisidata_1.0.0-1.ca2004.1_all.deb
Size: 17464
MD5sum: f5813259cb336cd9f161a29a284fc2cc
SHA1: 1023f9cff3942017b32b5bf06b989aa8fea60a3a
SHA256: 26c1a6c6d7cc50270130cf1585847aee18971f17076d866ec266b7e9afbbd25c
SHA512: 9ae6b30a48b6745fc0b5822728c2fb3eda20319e05d425cf76e6ec71332030039515c0aa190189e54b4dbc94127ef0a1fee8b647bfe79247fd657721fee74456
Homepage: https://cran.r-project.org/package=rvisidata
Description: CRAN Package 'rvisidata' (Wrapper for 'Visidata', an Interactive Multitool for TabularData)
 Open any data frame with 'visidata', a terminal-based spreadsheet
 application <https://www.visidata.org>.

Package: r-cran-rvkstat
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-jsonlite, r-cran-httr, r-cran-stringr, r-cran-lgr
Filename: pool/dists/focal/main/r-cran-rvkstat_3.2.0-1.ca2004.1_all.deb
Size: 230420
MD5sum: 427197bfe415e2b9169d9e209b0cdffb
SHA1: 0825d1b617ed61877bc7acb8472bf0aad381e96e
SHA256: 828ef458397190af59123cc5c40016cfa521d38511bece31fb94c8524b39d179
SHA512: c2cf6d7bdc6468a2b7d284b60c7068321739edd4cec7a1238a5cdaea5685c67e0002e0b823bb24dfbbf7da58c3970b32b3833331e0657d2936a559319037c9c7
Homepage: https://cran.r-project.org/package=rvkstat
Description: CRAN Package 'rvkstat' (R Interface to API 'vk.com')
 Load data from vk.com api about your communiti users and views, ads
 performance, post on user wall and etc. For more information see API
 Documentation <https://vk.com/dev/first_guide>.

Package: r-cran-rvmethod
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-locfit, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-rvmethod_0.1.2-1.ca2004.1_all.deb
Size: 620820
MD5sum: 6341dc4f30d16fa86a758520dd864086
SHA1: 2888762f261cca6845c10499d3ad3bbec98f9c54
SHA256: 19b2566da518695b00b7353a0a71e6febb1367a7f3c5b0a2bd6fb22958f85147
SHA512: ac3e0e1d89578fecb4e83c0ff3396141b5e44103bc1abd8eb37573b96f13dff001b29993866c19ec86d671af79b2cbd0c8ac33ad2bcd333f4bf9994b6e9b83f6
Homepage: https://cran.r-project.org/package=rvmethod
Description: CRAN Package 'rvmethod' (Radial Velocity Method for Detecting Exoplanets)
 Has various functions designed to implement the Hermite-Gaussian Radial
 Velocity (HGRV) estimation approach of Holzer et al. (2020)
 <arXiv:2005.14083>, which is a particular application of the radial velocity
 method for detecting exoplanets. The overall approach consists of four
 sequential steps, each of which has a function in this package: (1) estimate
 the template spectrum with the function estimate_template(), (2) find
 absorption features in the estimated template with the function
 findabsorptionfeatures(), (3) fit Gaussians to the absorption features with
 the function Gaussfit(), (4) apply the HGRV with simple linear regression by
 calling the function hgrv(). This package is meant to be open source. But
 please cite the paper Holzer et al. (2020) <arXiv:2005.14083> when
 publishing results that use this package.

Package: r-cran-rvmmin
Architecture: all
Version: 2018-4.17.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optextras
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-rvmmin_2018-4.17.1-1.ca2004.1_all.deb
Size: 74156
MD5sum: c4e17b063a6d538f6318e03741b87414
SHA1: 12d0cdbbd37d8e3812b6131efb8c0fca76b088c4
SHA256: 62085512a88464455f001c098db263626a1bd5de86e279492dc72f0f2f135b3d
SHA512: 395ca69b4cd09f8638d699554d0ee5b51288ab87db5466ecf0df47d70fa25fc89884ddefb0c445f49aebeda10a61dcd79ac5dd521c3c5a94eb1faad94515cf00
Homepage: https://cran.r-project.org/package=Rvmmin
Description: CRAN Package 'Rvmmin' (Variable Metric Nonlinear Function Minimization)
 Variable metric nonlinear function minimization with bounds constraints.

Package: r-cran-rvtdt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform
Filename: pool/dists/focal/main/r-cran-rvtdt_1.0-1.ca2004.1_all.deb
Size: 32872
MD5sum: 27ee31e81acfffacc28e1b2c3956c04a
SHA1: 2f851f710e44845fb5d2c69c850388bc5b3e35d3
SHA256: c3f1fd67103728ea0050aac9b3dc9c83efbc0572ae83d34a8cff40130f856a3e
SHA512: 0c814807900a22bc2123730c33f4e6c108a3cc9ae4a1b6d9fd8cc9b29dbab63ab1382455c19db15c92aab91afe20306d834e3467efd0e29dd767cf525dfb4194
Homepage: https://cran.r-project.org/package=rvTDT
Description: CRAN Package 'rvTDT' (population control weighted rare-variants TDT)
 Used to compute population controls weighted rare variants transmission
 distortion test

Package: r-cran-rvtests
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-spls, r-cran-pls
Filename: pool/dists/focal/main/r-cran-rvtests_1.2-1.ca2004.1_all.deb
Size: 71780
MD5sum: cb814ce28217554609a6a8a59081d5d1
SHA1: c5734bed57d1ce944228738e14772d95e282b2d4
SHA256: 2c27f4c5ef01e46055d7e9592e0da1fb0e5db764a3d14aa60b27799fcbfba67e
SHA512: c41d28829ebbd7476cdfd418f8ef11a416d21c19da163226c9705a72c25f65e0baffdccf5ae6972e990c0b7c01fffbb62f71f3497e8018e48191f16a0d32c35f
Homepage: https://cran.r-project.org/package=RVtests
Description: CRAN Package 'RVtests' (Rare Variant Tests)
 Use multiple regression methods to test rare variants association with
 disease traits.

Package: r-cran-rwa
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-rwa_0.0.3-1.ca2004.1_all.deb
Size: 25928
MD5sum: f672ed70df940c5b4c22c828f59f6565
SHA1: 8c046bea635bc9e0badfb3cd91ddfc268be6d8e9
SHA256: 7c8a18a9e8db09e8c807ee7a2b3930fe1fab300a895322292bcb9803bb533e0b
SHA512: 852bda1f5eb067d84075cb804b2963c0c85f7d4212fac9c3b4a538943698a83c135d05038b264e1cf5cc81305fb43e5bffe921a485950b76fbf6ff37ab52c839
Homepage: https://cran.r-project.org/package=rwa
Description: CRAN Package 'rwa' (Perform a Relative Weights Analysis)
 Perform a Relative Weights Analysis (RWA) (a.k.a. Key Drivers Analysis) as
 per the method described in Tonidandel & LeBreton (2015)
 <DOI:10.1007/s10869-014-9351-z>, with its original roots in Johnson (2000)
 <DOI:10.1207/S15327906MBR3501_1>. In essence, RWA decomposes the total
 variance predicted in a regression model into weights that accurately
 reflect the proportional contribution of the predictor variables, which
 addresses the issue of multi-collinearity. In typical scenarios, RWA returns
 similar results to Shapley regression, but with a significant advantage on
 computational performance.

Package: r-cran-rwalkr
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1467
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-hms, r-cran-httr, r-cran-tidyr, r-cran-progress
Suggests: r-cran-plotly, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-rwalkr_0.5.7-1.ca2004.1_all.deb
Size: 1433168
MD5sum: 1559cc3eb9e49211a7c1985d011150b5
SHA1: b445b28d3cdedeaa595ea6fb64042e6a6fd5ec5b
SHA256: 49c4ec521665325830bcbca9708a18ed1cbaa8dda8845a9fb065051295af4a9d
SHA512: 9464a6673e94073e592db56bc469f36cb0dd3d201d5edc3477ec37bcacf8df87ed9ef263bd82152e08e5bbc5639971048ea3dc3500dd23850e5baea145cccf62
Homepage: https://cran.r-project.org/package=rwalkr
Description: CRAN Package 'rwalkr' (API to Melbourne Pedestrian Data)
 Provides API to Melbourne pedestrian and weather data
 <https://data.melbourne.vic.gov.au> in tidy data form.

Package: r-cran-rwarrior
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1289
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-glue, r-cran-cli, r-cran-dplyr, r-cran-tibble, r-cran-checkmate, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rwarrior_0.4.1-1.ca2004.1_all.deb
Size: 521132
MD5sum: 7172d281349c19581bd19aa1904a164e
SHA1: 4985a50038e2a6e811fb4e0bacf03b68ea1909f7
SHA256: e6646f69b90845142e917b6dc7b0c81f8261683033c411267c9bfd5104536536
SHA512: b70c0bd63e8de25ced8fc4ff6a3d69ddcae6bb092935e6573de0f264fc3e964271f8d787f5c49868ec452803e8ffdc49be8e6f4afc0c6650c212080706d5254f
Homepage: https://cran.r-project.org/package=rwarrior
Description: CRAN Package 'rwarrior' (R Warrior - An AI Programming Game)
 A port of Ruby Warrior.  Teaches R programming in a fun and interactive way.

Package: r-cran-rwavelet
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4007
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-misc3d, r-cran-imager
Filename: pool/dists/focal/main/r-cran-rwavelet_0.4.1-1.ca2004.1_all.deb
Size: 2551756
MD5sum: a487ab4282aa8641a27e371879dae70f
SHA1: 11e2effa559e7e54f39def51715bbf10c28cb236
SHA256: 655fbf960d811b809b41b42275bde0d627fcc9f1d951be7f06731756f53a695a
SHA512: be97adc03087d64d959343a18c717192d99790d7b2f90b838bdce42faca90984cacb8b7ac5a5e8c1affdbcd04ac7525ae5e8b0745ac0239b4b3a1cec61543634
Homepage: https://cran.r-project.org/package=rwavelet
Description: CRAN Package 'rwavelet' (Wavelet Analysis)
 Perform wavelet analysis (orthogonal,translation invariant, tensorial,
 1-2-3d transforms, thresholding, block thresholding, linear,...) with
 applications to data compression or denoising/regression. The core of the
 code is a port of 'MATLAB' Wavelab toolbox written by D. Donoho, A. Maleki
 and M. Shahram (<https://statweb.stanford.edu/~wavelab/>).

Package: r-cran-rwbclimate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-httr, r-cran-plyr, r-cran-rgdal, r-cran-jsonlite, r-cran-reshape2, r-cran-sp
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rwbclimate_0.1.3-1.ca2004.1_all.deb
Size: 360460
MD5sum: 09c912e1d9879cd75dc9e024d94f15c9
SHA1: cddea56c025941eeb22359994b3e1a1d6827ba32
SHA256: aa8b8161fcd7cb0689eb924e7cf334bddf07d3cf6b9ebc71b9935f1f385bb373
SHA512: 59bd392babea86f78a1206c5480464bef0835b9fa97cd01c306cd9f44951167f2f3ebc4fe140655cf2a3244901eb0ff2c7d9c6a8d7b3d8706f999a2e080296b1
Homepage: https://cran.r-project.org/package=rWBclimate
Description: CRAN Package 'rWBclimate' (A package for accessing World Bank climate data)
 This package will download model predictions from 15 different global
 circulation models in 20 year intervals from the world bank.  Users can also
 access historical data, and create maps at 2 different spatial scales.

Package: r-cran-rwbp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-cran-igraph, r-cran-lsa, r-cran-snowballc
Filename: pool/dists/focal/main/r-cran-rwbp_1.0-1.ca2004.1_all.deb
Size: 41752
MD5sum: e0998f25ac579c56224c636a1c3e359c
SHA1: 1cf2c0541ba10d25fbf9fc280198776d71604356
SHA256: 0bb067d3133f826584d81c9a8665465eac2913813fea4c2416f0ca11cb47e652
SHA512: 822713cd490fc0615b316b7ef4660f9b7dca7b64d45994e3cb5eb9085ee22f10e34a225bcb2c845ac67b6a76ecc8db42f6d60e571f058dd6806168a1bbe39427
Homepage: https://cran.r-project.org/package=RWBP
Description: CRAN Package 'RWBP' (Detects spatial outliers using a Random Walk on Bipartite Graph)
 a Bipartite graph and is constructed based on the spatial and/or non-spatial
 attributes of the spatial objects in the dataset. Secondly, RW techniques
 are utilized on the graphs to compute the outlierness for each point (the
 differences between spatial objects and their spatial neighbours). The top k
 objects with higher outlierness are recognized as outliers.

Package: r-cran-rwc
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-matrix, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-rwc_1.12-1.ca2004.1_all.deb
Size: 64528
MD5sum: a08e2be6c7abb894b9bc24b112db2948
SHA1: 6371bc04abf9bdbc7a534416f32462335a7d9994
SHA256: 79c1f833bb99f8eb8331b0aaabb1bb5bd5df297210cfffe4ab5c995019028355
SHA512: 0da6cd0aea351bd533d35e063319682d45b6f9507a3d6a9e21d70d22ddcfcc2b89cfb285a1498e8274d163578bae6a990547f796d2c8ea0cb107d9a47556b1a2
Homepage: https://cran.r-project.org/package=rwc
Description: CRAN Package 'rwc' (Random Walk Covariance Models)
 Code to facilitate simulation and inference when connectivity is defined by
 underlying random walks. Methods for spatially-correlated pairwise distance
 data are especially considered. This provides core code to conduct analyses
 similar to that in Hanks and Hooten (2013)
 <doi:10.1080/01621459.2012.724647>.

Package: r-cran-rwclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-checkmate, r-cran-matrix
Suggests: r-cran-igraph, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rwclust_0.1.0-1.ca2004.1_all.deb
Size: 143636
MD5sum: 1aad0e8704fc215b56c7cef902d7a9bf
SHA1: 3569bb89d34dc156da048b7eb3993f76eb1e287c
SHA256: ec0071f6f31c67ad9b51f81793a5df6d1dbedc1ed69e6625e83fb797f04b599f
SHA512: 2a84a8f3880a874b1fc087f4e882e0efe4ab34acc0bfe0af8e83e871e1d8a727f91ecca590582d8675216ba1cee2e84c65d7aed1bec6ff8d5807983b7b5b9071
Homepage: https://cran.r-project.org/package=Rwclust
Description: CRAN Package 'Rwclust' (Random Walk Clustering on Weighted Graphs)
 Implements the random walk clustering algorithm for weighted graphs as found
 in Harel and Koren (2001)
 <https://link.springer.com/chapter/10.1007/3-540-45294-X_3>.

Package: r-cran-rwcvp
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4931
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-htmltools, r-cran-magrittr, r-cran-phonics, r-cran-purrr, r-cran-recordlinkage, r-cran-rlang, r-cran-rmarkdown, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-rwcvp_1.2.4-1.ca2004.1_all.deb
Size: 3045744
MD5sum: 284abc3d36706688bb41a769cce7b9da
SHA1: e0a66b4f5f01f73af0713279ab9d4b9ffd13068d
SHA256: 692135f9c89e830ac3ef5d87afa787c6c9a65a7325ecb6d1843e8848676effd6
SHA512: 1c00270fa0721f28de7653abeed819fabd8d2a7958a63cb2d13efed605aed54ccb301e5987c9769d1dfaf89bc60b7d1bf7e1e2c7e8a8878ca591628d45d40d9f
Homepage: https://cran.r-project.org/package=rWCVP
Description: CRAN Package 'rWCVP' (Generating Summaries, Reports and Plots from the World Checklistof Vascular Plants)
 A companion to the World Checklist of Vascular Plants (WCVP). It includes
 functions to generate maps and species lists, as well as match names to the
 WCVP. For more details and to cite the package, see: Brown M.J.M., Walker
 B.E., Black N., Govaerts R., Ondo I., Turner R., Nic Lughadha E. (in press).
 "rWCVP: A companion R package to the World Checklist of Vascular Plants".
 New Phytologist.

Package: r-cran-rweaveextra
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rweaveextra_1.2-0-1.ca2004.1_all.deb
Size: 39424
MD5sum: a336e7195cd94d195a4ee723a2c323c3
SHA1: e911b82a0b62bdfe2099e62476128241d8544107
SHA256: 34aa39881f21a960b4cc48d75889da3781768c03886225dda1cc1b5c3779a603
SHA512: dd131f6150ea48a8c4de420188ac7410bb97a71aa016b6d0b46123b9a3a7d5066ae646b0ed0cd1978fcbf5a36d36190fc80e035f4f6bc458eef6f6bfef917c01
Homepage: https://cran.r-project.org/package=RweaveExtra
Description: CRAN Package 'RweaveExtra' (Sweave Drivers with Extra Tricks Up their Sleeve)
 Weave and tangle drivers for Sweave extending the standard drivers.
 RweaveExtraLatex and RtangleExtra provide options to completely ignore code
 chunks on weaving, tangling, or both.  Chunks ignored on weaving are not
 parsed, yet are written out verbatim on tangling. Chunks ignored on tangling
 may be evaluated as usual on weaving, but are completely left out of the
 tangled scripts. The driver RtangleExtra also provides options to control
 the separation between code chunks in the tangled script, and to specify the
 extension of the file name (or remove it entirely) when splitting is
 selected.

Package: r-cran-rweblogo
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3602
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-findpython
Filename: pool/dists/focal/main/r-cran-rweblogo_1.0.3-1.ca2004.1_all.deb
Size: 1348192
MD5sum: f482e49123d3e9a4562000dd44aa909d
SHA1: e4467594300a20827f237ce781532889b437604e
SHA256: 63d4c8100c60336c193dbf3a0ac4fcecc7ab99d8bc0709f3257c7694a9358b00
SHA512: 77c3dfc93507c5e9b5c40085415954977f5f23368bbb76a776dd9fc1bc754039ba697c07535d81a626172b7b0ed72882138390693a14843acd7e48fa4d382d03
Homepage: https://cran.r-project.org/package=RWebLogo
Description: CRAN Package 'RWebLogo' (plotting custom sequence logos)
 RWebLogo is a wrapper for the WebLogo python package that allows generating
 of customised sequence logos. Sequence logos are graphical representations
 of the sequence conservation of nucleotides (in a strand of DNA/RNA) or
 amino acids (in protein sequences). Each logo consists of stacks of symbols,
 one stack for each position in the sequence.  The overall height of the
 stack indicates the sequence conservation at that position, while the height
 of symbols within the stack indicates the relative frequency of each amino
 or nucleic acid at that position. In general, a sequence logo provides a
 richer and more precise description of, for example, a binding site, than
 would a consensus sequence.

Package: r-cran-rwebstat
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-getpass, r-cran-httr, r-cran-readr, r-cran-jsonlite, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-magrittr, r-cran-prettydoc, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-rwebstat_1.1.1-1.ca2004.1_all.deb
Size: 60328
MD5sum: 5538ac0f6471d433e90cc23812ad0307
SHA1: 4f50198c8fc182287d2add976f099fcbe886c37e
SHA256: 020ed180828c0491dd4b5cf8b05abb56ec3c2731d5b9e1b1bad3033a1ce63971
SHA512: e4df7a83feb4121f2d749d2fec20b1402717940471d5c9aa840cd489f502aadd3422e7dee2bea2ccf74bd37d85f94dd41769c2d0b9dda80ed8f669137b242599
Homepage: https://cran.r-project.org/package=rwebstat
Description: CRAN Package 'rwebstat' (Download Data from the Webstat API)
 Access the Webstat API, download data and metadata from more than 35000 time
 series from the Banque de France statistics web portal. Access requires a
 free client ID easily available from the API portal
 <https://developer.webstat.banque-france.fr/>.

Package: r-cran-rweka
Architecture: all
Version: 0.4-46-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1141
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rwekajars, r-cran-rjava
Suggests: r-cran-partykit, r-cran-mlbench, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-rweka_0.4-46-1.ca2004.1_all.deb
Size: 492912
MD5sum: 842408eb88bd0dd07cf5f497763a6007
SHA1: b8b6fbbddb5608f2e4562c4be6586a096da3f887
SHA256: 9fdcd4e8d3154c9839a8ffbbc081126d0b0970d8f68ca3ad4c6fd80c82d8f4ce
SHA512: d54fba5359ca1b40b803b941b3c443ac6dcad16af778aa0d827038fa80faf3e3597b548caf5713215ca96b33122ff2a103c7cb2622187ff3b191ef14021b2100
Homepage: https://cran.r-project.org/package=RWeka
Description: CRAN Package 'RWeka' (R/Weka Interface)
 An R interface to Weka (Version 3.9.3).  Weka is a collection of machine
 learning algorithms for data mining tasks written in Java, containing tools
 for data pre-processing, classification, regression, clustering, association
 rules, and visualization.  Package 'RWeka' contains the interface code, the
 Weka jar is in a separate package 'RWekajars'.  For more information on Weka
 see <https://www.cs.waikato.ac.nz/ml/weka/>.

Package: r-cran-rwekajars
Architecture: all
Version: 3.9.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10981
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-rwekajars_3.9.3-2-1.ca2004.1_all.deb
Size: 9379420
MD5sum: 10900104226e9ae88c0704b4bfeabc14
SHA1: d5aa00e195d2f4e51464d4df302eda85112cbe89
SHA256: 4c6af24fa7467dac05c9ff515d33e626b07f7a4e6f4030b97e12c06acc60efaf
SHA512: f322125f6a3d7745be0ba82a2405a5f993188033bdfe20d6b162df79c25ed64d652ad708b3d3726d794e59c762af0a058a12eecb3675f15838960dc9971c2837
Homepage: https://cran.r-project.org/package=RWekajars
Description: CRAN Package 'RWekajars' (R/Weka Interface Jars)
 External jars required for package 'RWeka'.

Package: r-cran-rwgraph
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-rwgraph_1.0.0-1.ca2004.1_all.deb
Size: 291616
MD5sum: 6dbb9ecb6a0fa500e77792cca1ec5883
SHA1: 14fe7d60e58aa6cb72d0df14500e6745f9760ace
SHA256: e061b33b7c5a95f499c7e16cf5b30c48d647278ff747e55069630ba7b0031bcb
SHA512: 31486b671eccdbedf40145412cff82ca7b1d054d97ec1ab3e794fac98c56d1c2454e8012c449a22102c54d858eca45990721cfffed1ff1d725dd4402f1ed1ee2
Homepage: https://cran.r-project.org/package=RWgraph
Description: CRAN Package 'RWgraph' (Random Walks on Graphs Representing a Transactional Network)
 Random walk functions to extract new variables based on clients
 transactional behaviour. For more details, see Eddin et al. (2021)
 <arXiv:2112.07508v3> and Oliveira et al. (2021) <arXiv:2102.05373v2>.

Package: r-cran-rwhatsapp
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringi, r-cran-tibble
Suggests: r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-spelling, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rwhatsapp_0.2.4-1.ca2004.1_all.deb
Size: 709132
MD5sum: e8eb3edb57ec07d236a43900951a2abf
SHA1: 2786353d25caffef198c4baee12348aadf64a724
SHA256: 90e562c90a7a0942df0374d79036f2c225feb04ee5961778c3edf50e45528a85
SHA512: a05fa0bb036ac4126242325b70def65a892be4341f617bb4450a73d89f88427456165b13dfd1d677040a14342b0dea342c91bbc3ddec882d46ac2820feecedf4
Homepage: https://cran.r-project.org/package=rwhatsapp
Description: CRAN Package 'rwhatsapp' (Import and Handling for 'WhatsApp' Chat Logs)
 A straightforward, easy-to-use and robust parsing package which aims to
 digest history files from the popular messenger service 'WhatsApp' in all
 locales and from all devices.

Package: r-cran-rwhois
Architecture: all
Version: 1.0.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-rwhois_1.0.16-1.ca2004.1_all.deb
Size: 19720
MD5sum: fad24b4d8d68f398fff57d7e97379d77
SHA1: 887e45a58d631eec715b276e1d39b34a4ed59e7b
SHA256: 114f13aeb5e0ff415f8575d7c3bcb6223266da6c3d27352afaba237cc6e33cb8
SHA512: 359aa160d632e119566b7baceb79a84281d82dd82e38686032ad603f109b177bcef516939d790977c43854d2a00c16bdae6247f502d5356d38697b7871803cac
Homepage: https://cran.r-project.org/package=Rwhois
Description: CRAN Package 'Rwhois' (WHOIS Server Querying)
 Queries data from WHOIS servers.

Package: r-cran-rwicc
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biglm, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-pryr, r-cran-arm, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-spelling, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-markdown, r-cran-pander
Filename: pool/dists/focal/main/r-cran-rwicc_0.1.3-1.ca2004.1_all.deb
Size: 118612
MD5sum: dc3492c96473ee243ef9ffdbe07cd4be
SHA1: 8b70254879f0032100a3ead4517519a77c81037d
SHA256: 24c7174b0967631ac571f0909a5ddee494a067dfb55313295cc52ebbf83af8db
SHA512: 05deda7bd17e04c38ce82181141818012f811ec1ef1ff2f40f757a9341c64e47e2410373f78602de30cd6f393dcdb835c82866b916eafd9c3a476b2e527d8a3a
Homepage: https://cran.r-project.org/package=rwicc
Description: CRAN Package 'rwicc' (Regression with Interval-Censored Covariates)
 Provides functions to simulate and analyze data for a regression model with
 an interval censored covariate, as described in Morrison et al. (2021)
 <doi:10.1111/biom.13472>.

Package: r-cran-rwildbook
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-data.table, r-cran-marked
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rwildbook_0.9.3-1.ca2004.1_all.deb
Size: 671660
MD5sum: ad2d70d3ff67f920041c7dfbde628208
SHA1: ce99635fa43b4fd85ba8b76602045541fc0a0807
SHA256: 904c5325b0d88f10aae89f1dfa91fbaabb92902d5ac63a6b8adc3fbbfdc0b3a5
SHA512: d9a29e99f8d305ae8159c2ac38fd39a34ae71058b982e6f7886bc262b667de9960cf7088f483851cb256472c44daf98e0ba337a6c2dad70051cd23eda65fc439
Homepage: https://cran.r-project.org/package=RWildbook
Description: CRAN Package 'RWildbook' (Interface for the 'Wildbook' Wildlife Data Management Framework)
 Provides an interface with the 'Wildbook' mark-recapture ecological database
 framework. It helps users to pull data from the 'Wildbook' framework and
 format data for further analysis with mark-recapture applications like
 'Program MARK' (which can be accessed via the 'RMark' package in 'R').
 Further information on the 'Wildbook' framework is available at:
 <http://www.wildbook.org/doku.php>.

Package: r-cran-rwind
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-gdistance, r-cran-matrix, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-rwind_1.1.7-1.ca2004.1_all.deb
Size: 177556
MD5sum: d1890fb2792b73d418019bc90157f109
SHA1: bd8186efb4c883257a3d1006453745365929d878
SHA256: 2de19caa85fb4d717d87ab6f8d1c37e99902068f1ac51b8427fc4340f67bd37f
SHA512: 5f9dee8dfab0a41a944e8e3c5a76ba95660a7659665bd8ce9471597bf6cb7f37f78674be1029b00d3c351b1ff4b0b11df6e9f1af7dac599271d29a84d9d3308b
Homepage: https://cran.r-project.org/package=rWind
Description: CRAN Package 'rWind' (Download, Edit and Include Wind and Sea Currents Data inEcological and Evolutionary Analysis)
 Tools for download and manage surface wind and sea currents data from the
 Global Forecasting System
 <https://www.ncei.noaa.gov/products/weather-climate-models/global-forecast>
 and to compute connectivity between locations.

Package: r-cran-rwishart
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-lazyeval
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rwishart_0.1.2-1.ca2004.1_all.deb
Size: 42384
MD5sum: 3c5e5accc343bdd385f1f9db00c5a82a
SHA1: 8d4f46273565e933b19b05ce8e5ad35f49a0a3c9
SHA256: 4ca472b3d8876e59b5f8e31d88cc44f92bd44a3994878a92ea71e4a2fdbabbe8
SHA512: 6068a8143e1f14d4cf91e6c09e6bb43bc600da8974a8ed98c3d1612bf2892df341128d5921819af2d7dffcfd4dd56a483ecc631dddc5c7e2edbd09d3c0541aa7
Homepage: https://cran.r-project.org/package=rWishart
Description: CRAN Package 'rWishart' (Random Wishart Matrix Generation)
 An expansion of R's 'stats' random wishart matrix generation.  This package
 allows the user to generate singular, Uhlig and Harald (1994)
 <doi:10.1214/aos/1176325375>, and pseudo wishart, Diaz-Garcia, et al.(1997)
 <doi:10.1006/jmva.1997.1689>, matrices. In addition the user can generate
 wishart matrices with fractional degrees of freedom, Adhikari (2008)
 <doi:10.1061/(ASCE)0733-9399(2008)134:12(1029)>, commonly used in volatility
 modeling. Users can also use this package to create random covariance
 matrices.

Package: r-cran-rwisp
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-rwisp_1.0.5-1.ca2004.1_all.deb
Size: 19660
MD5sum: 98e9faa4457f639e727f570f58f7437b
SHA1: cadd946f55bc5c6bf423d336551c3e0700ded473
SHA256: 19c202b829fa02704a81e5acbaee8b6218160caf3ca91e8cfc57bbfa277280bf
SHA512: 9835f8cc1b6e0f2e48a212e6efd44305e11bc002fcd044aeffb4d6ac2eac5109c2e7043a9d3b597a8448580ddfc3ad45d7d40b568fc6f3a342b6f3f7d3130309
Homepage: https://cran.r-project.org/package=rwisp
Description: CRAN Package 'rwisp' (WISP Multiple Criteria Sorting Method)
 Implementation of the Integrated Simple Weighted Sum Product Method (WISP),
 a multiple criteria sorting method create by Dragisa Stanujkic (2021)
 <doi:10.1109/TEM.2021.3075783>.

Package: r-cran-rwlifetable
Architecture: all
Version: 0.1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rwlifetable_0.1.0-6-1.ca2004.1_all.deb
Size: 61132
MD5sum: 58248b67a3b2e43c492fc0b45c2159f9
SHA1: 5411761e430f7921111774411584ba4e3fbcde9d
SHA256: fe49e46defdd0df0626746817325bb3d157fbe1b02c51fe6f6cc8807f000b14f
SHA512: 737d960f734005ea1f19927ab8cff2421ca151bd797c7ca0d3d3b81dc0a35917dca3460caca9891879d316cbda3b2dde912de066fa2323eb791e248036ecca98
Homepage: https://cran.r-project.org/package=rwlifetable
Description: CRAN Package 'rwlifetable' (Estimation of Life Tables Using Rolling Windows)
 Estimates life tables, specifically (crude) death rates and (raw and
 graduated) death probabilities, using rolling windows in one (e.g., age),
 two (e.g., age and time) or three (e.g., age, time and income) dimensions.
 The package can also be utilised for summarising statistics and smoothing
 continuous variables through rolling windows in other domains, such as
 estimating averages of self-positioning ideology in political science.
 Acknowledgements: The authors wish to thank Ministerio de Ciencia,
 Innovación y Universidades (grant PID2021-128228NB-I00) and Generalitat
 Valenciana (grants HIECPU/2023/2, Conselleria de Hacienda, Economía y
 Administración Pública, and CIGE/2023/7, Conselleria de Educación, Cultura,
 Universidades y Empleo) for supporting this research.

Package: r-cran-rwmisc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-sp, r-cran-raster, r-cran-units
Suggests: r-cran-ggplot2, r-cran-geosphere, r-cran-lwgeom, r-cran-microbenchmark, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-rwmisc_0.1.2-1.ca2004.1_all.deb
Size: 231472
MD5sum: b56511c03b1b70e8d4d441e2a87ca333
SHA1: 1438966013c74f11ce07e94a6184a67fcbb64c40
SHA256: 541dcbbbb7aef80fd797b5e4f318185d75c2f483bab821a1959addf58e3f142b
SHA512: 02bffc0fc3527bdd496b606e07e9914b824917d5ae63471d3f27226e06f4ca6ede2d83c7a461afe90604828e120c8329578f2198904febc3bb4794e728f13d26
Homepage: https://cran.r-project.org/package=RWmisc
Description: CRAN Package 'RWmisc' (Miscellaneous Spatial Functions)
 Contains convenience functions for working with spatial data across multiple
 UTM zones, raster-vector operations common in the analysis of conflict data,
 and converting degrees, minutes, and seconds latitude and longitude
 coordinates to decimal degrees.

Package: r-cran-rwordseg
Architecture: all
Version: 0.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmcn, r-cran-hmm
Suggests: r-cran-jiebar, r-cran-corenlp
Filename: pool/dists/focal/main/r-cran-rwordseg_0.3-2-1.ca2004.1_all.deb
Size: 1164468
MD5sum: 2d4bd3aa67ae93fbf7b897018eec6519
SHA1: a156cf8027067717ed339a5290ec709f18ac7b8b
SHA256: 45932323e761b1c40b09d77876e98df81fba6524429a09251c541e7cc4adf57d
SHA512: 1d306980cbe80064bf6f9ffad31fd5ab3c3468d8a5bb505b345c08af26b8b1f96f6be15b7b0a6f5710e86286a8f2e3240b16672d8ba6626087a3205035399fa5
Homepage: https://cran.r-project.org/package=Rwordseg
Description: CRAN Package 'Rwordseg' (Chinese Word Segmentation)
 Provides interfaces and useful tools for Chinese word segmentation.
 Implements a segmentation algorithm based on Hidden Markov Model (HMM) in
 native R codes. Methods for HHMM-Based Chinese lexical analyzer are as
 described in : Hua-Ping Zhang et al., (2003) <doi:10.3115/1119250.1119280>.

Package: r-cran-rworkflows
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2336
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-here, r-cran-yaml, r-cran-desc, r-cran-badger, r-cran-renv, r-cran-biocmanager, r-cran-data.table
Suggests: r-cran-markdown, r-cran-rmarkdown, r-cran-remotes, r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-htmltools, r-cran-jsonlite, r-bioc-biocstyle, r-bioc-biocpkgtools, r-bioc-biocviews, r-cran-reticulate, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-rworkflows_1.0.6-1.ca2004.1_all.deb
Size: 1758900
MD5sum: a447d35825fb7e388ecea6733d14e0bb
SHA1: 7fa14fe67a5cfe0c1c7a495e09549e7cd22db31f
SHA256: 56a57534512cfec229850475148aab7af1429139c4a51ac5994d6d95dc43854e
SHA512: 210438fdf41ed1374f8264aad7993e8f884b2bcec97aad105c7db4bcbdec8eb5d98866e5fb772745814f7efaf80d39718fc652f1fd3fe6f872f006cb8b6e6358
Homepage: https://cran.r-project.org/package=rworkflows
Description: CRAN Package 'rworkflows' (Test, Document, Containerise, and Deploy R Packages)
 Reproducibility is essential to the progress of research, yet achieving it
 remains elusive even in computational fields.  Continuous Integration (CI)
 platforms offer a powerful way to launch automated workflows to check and
 document code, but often require considerable time, effort, and technical
 expertise to setup. We therefore developed the rworkflows suite to make
 robust CI workflows easy and freely accessible to all R package developers.
 rworkflows consists of 1) a CRAN/Bioconductor-compatible R package template,
 2) an R package to quickly implement a standardised workflow, and 3) a
 centrally maintained GitHub Action.

Package: r-cran-rworldmap
Architecture: all
Version: 1.3-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6404
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-fields, r-cran-raster, r-cran-terra
Suggests: r-cran-rworldxtra, r-cran-rcolorbrewer, r-cran-classint, r-cran-sf
Filename: pool/dists/focal/main/r-cran-rworldmap_1.3-8-1.ca2004.1_all.deb
Size: 5021740
MD5sum: a23fa20065dfae8bafe28a5845592e9d
SHA1: 01ec1ece3f1d1c59c2e00247b2a983be69d73216
SHA256: 36375d7195cfe9af45d01901fe0b259810d5c8ec6eb038e17cae16770c41cb2f
SHA512: b00e749d189ec97aa80526f1040910903c2d3fb1b6d7fec643aa80334b23785cd7e19f912560a8ef7c9e1400bef36e3fdf47fd676483ff4bef653837700c9c37
Homepage: https://cran.r-project.org/package=rworldmap
Description: CRAN Package 'rworldmap' (Mapping Global Data)
 Enables mapping of country level and gridded user datasets.

Package: r-cran-rworldxtra
Architecture: all
Version: 1.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Suggests: r-cran-rworldmap
Filename: pool/dists/focal/main/r-cran-rworldxtra_1.01-1.ca2004.1_all.deb
Size: 5273592
MD5sum: c7cb2b39a4121e7d9c98d6df045594cc
SHA1: 6c4cfdbc4717c099a39edc87bea8cdfb4755a989
SHA256: 6b93f7eb5c512b63744ebdc5adc054787ce5835106144c08ae71be2b8e3577b2
SHA512: a1449472ea671f6c9bbc0ea6aeccc205ef5f3cf10e5c138ce31fba070f58f82b047e271816554f58c2afc90e3f289ffa4beb4a1fa1a527b8393182834ba24d14
Homepage: https://cran.r-project.org/package=rworldxtra
Description: CRAN Package 'rworldxtra' (Country boundaries at high resolution)
 High resolution vector country boundaries derived from Natural Earth data,
 can be plotted in rworldmap.

Package: r-cran-rwsearch
Architecture: all
Version: 5.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1546
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brew, r-cran-latexpdf, r-cran-networkd3, r-cran-sig, r-cran-sos, r-cran-xml
Suggests: r-cran-ctv, r-cran-findr, r-cran-foghorn, r-cran-pacman, r-cran-litedown, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-rwsearch_5.2.4-1.ca2004.1_all.deb
Size: 1009964
MD5sum: ee28386611a51acd8ddb9e42bf9b3c7f
SHA1: d23befdff2ec0858289393ae8745e978de56a4b7
SHA256: 0e1f5ea454ebcc2a289861a98ab9abaaa8d71c1ec6319f735b4dfcfdaf0ff75a
SHA512: 9a45f255286ef3b282aa572efaa9bd4a339c93ec604a95bcf1af0bdb362195fa3e48972988fbb96c5c87d6b09c42ba686241ddebd256ab947c96377398b81184
Homepage: https://cran.r-project.org/package=RWsearch
Description: CRAN Package 'RWsearch' (Lazy Search in R Packages, Task Views, CRAN, the Web. All-in-OneDownload)
 Search by keywords in R packages, task views, CRAN, the web and display the
 results in the console or in txt, html or pdf files. Download the package
 documentation (html index, README, NEWS, pdf manual, vignettes, source code,
 binaries) with a single instruction. Visualize the package dependencies and
 CRAN checks. Compare the package versions, unload and install the packages
 and their dependencies in a safe order. Explore CRAN archives. Use the above
 functions for task view maintenance. Access web search engines from the
 console thanks to 80+ bookmarks. All functions accept standard and
 non-standard evaluation.

Package: r-cran-rwstats
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4597
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-rwstats_0.1-1.ca2004.1_all.deb
Size: 4628684
MD5sum: 58fe06a8a692c141c10bb01cc97d8895
SHA1: 8bd5516af1c573966a24ba30a4cb553c5240c1b0
SHA256: 4e443ce6dbb0826b9ee9646571b2cd87286cc774a29845e3f623a96579d521be
SHA512: 859f83ad7e11ed8273c10073d69087b33cce3786e73f62c1c548a45be64b855fe2e26612cd916d3b0f6bbf1f5a56a450ddd4eba8fc750abeb42d1c4978e465ac
Homepage: https://cran.r-project.org/package=rwstats
Description: CRAN Package 'rwstats' (Chinese Character Frequency in Real World)
 It contains Chinese character frequency data based on news data from 2017 to
 2019. Source of these news include Sina, China daily and Tencent.

Package: r-cran-rwtss
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1282
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-reshape2, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-httr, r-cran-stringr, r-cran-tibble, r-cran-zoo
Suggests: r-cran-bfast, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-spelling, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-rwtss_0.9.2-1.ca2004.1_all.deb
Size: 554796
MD5sum: c8c4b7d1a9d0e1ea11e8c9137a207538
SHA1: ee897cc438614b357c4a771e8d8215f23947adff
SHA256: 3619d5529395e82750137cc0fea4b54947710622781e0b1d9b09afb6267e745e
SHA512: 450ab8d40b959deaeb5a232d689a4cfa9f647f59bcdb469d9356e8ae6b64fb4c54c30411bcf02973de21c5632fa3e94044e2d278164c950c5b89b2d21a947bf7
Homepage: https://cran.r-project.org/package=Rwtss
Description: CRAN Package 'Rwtss' (Client for Web Time-Series Service)
 Allows remote access to satellite image time series provided by the web time
 series service (WTSS) available at servers such as
 <https://brazildatacube.dpi.inpe.br/wtss/>.  The functions include listing
 the data sets available in WTSS servers, describing the contents of a data
 set, and retrieving a time series based on spatial location and temporal
 filters.

Package: r-cran-rwty
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-ggplot2, r-cran-reshape2, r-cran-phangorn, r-cran-coda, r-cran-viridis, r-cran-plyr, r-cran-ggdendro, r-cran-ggally, r-cran-treedist
Suggests: r-cran-knitr, r-cran-testthat, r-cran-markdown, r-cran-rmarkdown, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-rwty_1.0.3-1.ca2004.1_all.deb
Size: 3212148
MD5sum: bf0731a1b774a2639f77b111d5db3b06
SHA1: 579d9955659e943ff17cee607b8f456ce575f072
SHA256: 2e99cd4a2c596ebecf1b5a581b3c6c6914925b71abc64f4e5488763fd9a67a6b
SHA512: bfe062b59d77f2b67ec4ab985569e8291032c208166886b01c1ad8beab6e728c194204ddc51609cd7410afe66311ae56803b3c33b756341e1880194854d68088
Homepage: https://cran.r-project.org/package=rwty
Description: CRAN Package 'rwty' (R We There Yet? Visualizing MCMC Convergence in Phylogenetics)
 Implements various tests, visualizations, and metrics for diagnosing
 convergence of MCMC chains in phylogenetics.  It implements and automates
 many of the functions of the AWTY package in the R environment, as well as a
 host of other functions.  Warren, Geneva, and Lanfear (2017),
 <doi:10.1093/molbev/msw279>.

Package: r-cran-rwunderground
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 685
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-countrycode, r-cran-lubridate, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-rwunderground_0.1.8-1.ca2004.1_all.deb
Size: 256912
MD5sum: 758e2ac273c76dde21335ec3f201570d
SHA1: 1e761ea22d5361099fd5a056605a89f4c98a7bc1
SHA256: 30a972f7e8cb3ef5df023e9027f7f22d97106211ee8d2a89eae919fbb2c12fa2
SHA512: bcbd039a8a1870be81d12c0be46ab46ca4f5d97b7600b1818c95982ec2c56b58ff78fb4c150f863d89864a28a88fc6afecab436f685605cfd57773218bd7e534
Homepage: https://cran.r-project.org/package=rwunderground
Description: CRAN Package 'rwunderground' (R Interface to Weather Underground API)
 Tools for getting historical weather information and forecasts from
 wunderground.com. Historical weather and forecast data includes, but is not
 limited to, temperature, humidity, windchill, wind speed, dew point, heat
 index. Additionally, the weather underground weather API also includes
 information on sunrise/sunset, tidal conditions, satellite/webcam imagery,
 weather alerts, hurricane alerts and historical high/low temperatures.

Package: r-cran-rxkcd
Architecture: all
Version: 1.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 772
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-jpeg, r-cran-png, r-cran-rjsonio
Suggests: r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-rxkcd_1.9.2-1.ca2004.1_all.deb
Size: 755216
MD5sum: 7492f61a9de7719f609dea2725852cc4
SHA1: 85fed2329ccf7c7cd7dd325360e583ffbe0be498
SHA256: 5834baa5c65b5eeba1262fb9f9ff9d12907f5e2000032f84778ad0a4c3332e7b
SHA512: 20f3b0c177b347ef5bfaed985f7249987b1506a87ffe109509141953ead393941d2580d97e8512bb26768b53a54d0d0fa86eeb67c7b46bc59ad14a221aac78ef
Homepage: https://cran.r-project.org/package=RXKCD
Description: CRAN Package 'RXKCD' (Get XKCD Comic from R)
 Visualize your favorite XKCD comic strip directly from R. XKCD
 <https://xkcd.com> web comic content is provided under the Creative Commons
 Attribution-NonCommercial 2.5 License.

Package: r-cran-rxmcda
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-kappalab
Filename: pool/dists/focal/main/r-cran-rxmcda_1.5.5-1.ca2004.1_all.deb
Size: 253132
MD5sum: f2cbda4dc9658233588a97d2727ea43b
SHA1: 17a03edf21c1352abec5f615c876a296daab5d22
SHA256: bae6fa8cbd9b4d3aadf48c3a59cbb17de51d8c9f052bda665b5407d128edde83
SHA512: ae7e080701d770ce04b297643b5a849e4213b1e89598f1557a5e5495c1eeceb862d3224d407f9c041f2f37582bb71012bc0dbac606c7e2edc34f4d577b327a54
Homepage: https://cran.r-project.org/package=RXMCDA
Description: CRAN Package 'RXMCDA' (Functions to Parse and Create XMCDA Files)
 Functions which allow to read many XMCDA tags and transform them into R
 variables which are then usable in MCDA algorithms written in R. It also
 allows to write certain R variables into XML files respecting the XMCDA
 standard.

Package: r-cran-rxnsim
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1608
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjava, r-cran-fingerprint, r-cran-data.table, r-cran-rcdk
Filename: pool/dists/focal/main/r-cran-rxnsim_1.0.4-1.ca2004.1_all.deb
Size: 241476
MD5sum: 26ef134ef38709e08ca3ec2fdfd162d8
SHA1: 3639b281c5fad85a918f2bc6487e64796db6e3c7
SHA256: fb262829a813118c3ec295dc3e656e80bc1593da714ea983da69f73272b4f680
SHA512: 07dd8ac2f5a5b9c4f5864aa0b97af761bb9b0b9930217386ba112334f70e69f1555cede19e4fd74359e03ba32d37f4eae0e2431c8f079cc89d57c5161e74bcb1
Homepage: https://cran.r-project.org/package=RxnSim
Description: CRAN Package 'RxnSim' (Functions to Compute Chemical and Chemical Reaction Similarity)
 Methods to compute chemical similarity between two or more reactions and
 molecules. Allows masking of chemical substructures for weighted similarity
 computations. Uses packages 'rCDK' and 'fingerprint' for cheminformatics
 functionality. Methods for reaction similarity and sub-structure masking are
 as described in: Giri et al. (2015) <doi:10.1093/bioinformatics/btv416>.

Package: r-cran-rxseq
Architecture: all
Version: 0.99.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 528
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-vgam, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-rxseq_0.99.3-1.ca2004.1_all.deb
Size: 474488
MD5sum: e7b9e9e63d28b3b91de461ceee2d9742
SHA1: e8fbd8444387bdb6e7f571b8bd6fd70dd08b7de1
SHA256: 9ab4ee493519518cf99d7f920097dd0a0fa5ab06bfeb2c439e7c345f99981632
SHA512: c7388f39004c79a12387e4aac9daa84a9a42d0dfe74711e0ba4136a89bdb1c547abce1b78012a545753b260d03b9b036be28c1b4918af809221df90fca902627
Homepage: https://cran.r-project.org/package=rxSeq
Description: CRAN Package 'rxSeq' (Combined Total and Allele Specific Reads Sequencing Study)
 Analysis of combined total and allele specific reads from the reciprocal
 cross study with RNA-seq data.

Package: r-cran-rxshrink
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lars, r-cran-ellipse
Suggests: r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-rxshrink_2.3-1.ca2004.1_all.deb
Size: 287200
MD5sum: 7c5d02ccbd90d298364dbaa1d83d0313
SHA1: b1cc7cef8436b0e51c00f2fc67a655baab881f42
SHA256: a00f0d10e68c9977865cb9635b9d4b8c7c3bbc3d58ec01b05d640bf149a6c201
SHA512: 8e0386d28afd42fc47acbe1a18ce7ba81ae2ba6b2713d1786cf417c9ef524efc3f02d70d3b4521ed100c92194f151968168dab70bcbc7649378486b8fe11ca1e
Homepage: https://cran.r-project.org/package=RXshrink
Description: CRAN Package 'RXshrink' (Maximum Likelihood Shrinkage using Generalized Ridge or LeastAngle Regression)
 Functions are provided to calculate and display ridge TRACE Diagnostics for
 a variety of alternative Shrinkage Paths. While all methods focus on Maximum
 Likelihood estimation of unknown true effects under normal
 distribution-theory, some estimates are modified to be Unbiased or to have
 "Correct Range" when estimating either [1] the noncentrality of the F-ratio
 for testing that true Beta coefficients are Zeros or [2] the "relative" MSE
 Risk (i.e. MSE divided by true sigma-square, where the "relative" variance
 of OLS is known.)  The eff.ridge() function implements the "Efficient
 Shrinkage Path" introduced in Obenchain (2022) <Open Statistics>. This
 "p-Parameter" Shrinkage-Path always passes through the vector of regression
 coefficient estimates Most-Likely to achieve the overall Optimal
 Variance-Bias Trade-Off and is the shortest Path with this property.
 Functions eff.aug() and eff.biv() augment the calculations made by
 eff.ridge() to provide plots of the bivariate confidence ellipses
 corresponding to any of the p*(p-1) possible ordered pairs of shrunken
 regression coefficients. Functions for plotting TRACE Diagnostics now have
 more options.

Package: r-cran-ryandexdirect
Architecture: all
Version: 3.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4865
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-bitops, r-cran-jsonlite, r-cran-xml2, r-cran-data.table, r-cran-readr, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-googleanalyticsr
Filename: pool/dists/focal/main/r-cran-ryandexdirect_3.6.2-1.ca2004.1_all.deb
Size: 3280596
MD5sum: edab2086ea3a56c9460c8a91e1a01260
SHA1: 6ed91f276de2d816884c2a546b9446aad104196d
SHA256: f850a0ac51ad9f514841267018d65e12f61d89383a01f8848dd294ca1f91290c
SHA512: b9271e47ecd9f459a57d13e09f751a87de512bc7b425ad9c4c7566193f25b56eb457464b899efc9563a9f591c3c97a47b8e722382613c61eeca00cf4548f4ca7
Homepage: https://cran.r-project.org/package=ryandexdirect
Description: CRAN Package 'ryandexdirect' (Load Data From 'Yandex Direct')
 Load data from 'Yandex Direct' API V5
 <https://yandex.ru/dev/direct/doc/dg/concepts/about-docpage> into R.
 Provide function for load lists of campaings, ads, keywords and other
 objects from 'Yandex Direct' account. Also you can load statistic from API
 'Reports Service'
 <https://yandex.ru/dev/direct/doc/reports/reports-docpage>.  And allows
 keyword bids management.

Package: r-cran-ryandextranslate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rcurl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ryandextranslate_1.0-1.ca2004.1_all.deb
Size: 16176
MD5sum: d299f65e5ab088eceb6230c6b613b9d5
SHA1: c5ee5ef6a9036a7aa2dee074735ba925642cf990
SHA256: 182ca369cabe5afaddb3d75d9c078995b692d5854098bf15327b05d7240dbe17
SHA512: 9d3f849ee33e3450ad2c34deeda00c1a994d4285e96b195cab31845003361e76a5bc970a100af43b6abba9f871a583fd3c685db6b4d99c7b661fbdb6b352cfc5
Homepage: https://cran.r-project.org/package=RYandexTranslate
Description: CRAN Package 'RYandexTranslate' (R Interface to Yandex Translate API)
 'Yandex Translate' (https://translate.yandex.com/) is a statistical machine
 translation system.  The system translates separate words, complete texts,
 and webpages.  This package can be used to detect language from text and to
 translate it to supported target language.  For more info:
 https://tech.yandex.com/translate/doc/dg/concepts/About-docpage/ .

Package: r-cran-rym
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 568
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-rym_1.0.6-1.ca2004.1_all.deb
Size: 258448
MD5sum: 75c494c54b6d5334d01c44e00a7039a1
SHA1: a2d030250df51af7966b5c35f6f5636b9f4703ff
SHA256: dd0927a289918472abcf182d3ea683ae3c70ac4eec884a466fc63c7060688ace
SHA512: c6ef3fe11bd60857598920574f08d4f35b21c4078026479eaaf564f5cd5614f83a470608fd859a678afbdee53aed1af8a61b0317f1c2c282cbc6c9041733a646
Homepage: https://cran.r-project.org/package=rym
Description: CRAN Package 'rym' (R Interface to Yandex Metrica API)
 Allows work with 'Management API' for load counters, segments, filters, user
 permissions and goals list from Yandex Metrica, 'Reporting API' allows you
 to get information about the statistics of site visits and other data
 without using the web interface, 'Logs API' allows to receive non-aggregated
 data and 'Compatible with Google Analytics Core Reporting API v3' allows
 receive information about site traffic and other data using field names from
 Google Analytics Core API. For more information see official documents
 <https://yandex.ru/dev/metrika/doc/api2/concept/about-docpage>.

Package: r-cran-ryoudaotranslate
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-ryoudaotranslate_1.0-1.ca2004.1_all.deb
Size: 19776
MD5sum: f311c2137831a0806ae8de16d873efce
SHA1: c9c72d1923e039722fbfe46257e8b9c65a858471
SHA256: 3ac2029ec6756eafb45f03837728caeeae92e5952b41427c64ce5be1b0037343
SHA512: e662b41fdc368bb999eb9b1ea3f654012488b833bb94f016f4488574231fb2ea169a05fd4646fe8e2db00b378801d8bb90be82d0dd0efeaff0ac2fd9a9613f2c
Homepage: https://cran.r-project.org/package=RYoudaoTranslate
Description: CRAN Package 'RYoudaoTranslate' (R package provide functions to translate English words intoChinese)
 You can use this package to translate thousands of words. The Youdao
 translation open API is applied in this package. But, it just translates
 less than 1000 English words into Chinese.

Package: r-cran-ryouready
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-stringr, r-cran-car
Filename: pool/dists/focal/main/r-cran-ryouready_0.4-1.ca2004.1_all.deb
Size: 92588
MD5sum: 413e31c7373da697b0eccb97d7000139
SHA1: 05b64b16f704dfbba5d34745016e3366c4334b31
SHA256: 3bf875ee1234365168df2968737dc86d4649def5473152ae91aab338da771682
SHA512: 8257b250a17885e8d2244149204cea882e1039d2cdebbe4e759303a12fd99631f1a75d7ab65e093ae568db9868b21224577fe9eba6917ac43403dc2551c26ace
Homepage: https://cran.r-project.org/package=ryouready
Description: CRAN Package 'ryouready' (Companion to the Forthcoming Book - R you Ready?)
 Package contains some data and functions that are used in my forthcoming "R
 you ready?" book.

Package: r-cran-ryoutheria
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-rjsonio, r-cran-reshape2, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ryoutheria_1.0.3-1.ca2004.1_all.deb
Size: 39976
MD5sum: 4af5fa9d06d64c43d59b2e150d1cc932
SHA1: 901ff3a8fe8a36fc33076703b0c412b4100b37e0
SHA256: 0abf412ff7468109f626778535cd079bbebf2e3a083f09c970e535637bb0bf26
SHA512: 94744f5f3420557cfb78a1fbd4cebe9ec468c577accef439cded4aa03dd3f7da8947986172bc243be93b6dd69b3b0ec565aff80cc4f191caa80c01d89de87b1e
Homepage: https://cran.r-project.org/package=rYoutheria
Description: CRAN Package 'rYoutheria' (Access to the YouTheria Mammal Trait Database)
 A programmatic interface to web-services of YouTheria. YouTheria is an
 online database of mammalian trait data <http://www.utheria.org/>.

Package: r-cran-rytstat
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 476
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-gargle, r-cran-snakecase, r-cran-stringr, r-cran-tidyr, r-cran-pbapply, r-cran-httr, r-cran-withr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-rytstat_0.3.2-1.ca2004.1_all.deb
Size: 437684
MD5sum: 468f227e1b951d31a38572b69b6e9c76
SHA1: 2631b5c19ab2039affb08608740e909e59055e14
SHA256: 0ead178f0a9500e49e8a6f8b73a22785d14a9d80475b6dbfe69b36f4ccb5882e
SHA512: a4f544f130b86b60c2babcdb89f44aba258159ba0080daf8455d84b63d99724bb100a46847bd1da8a1bd5872dca7e5f97ee079f300cb267fa046b8d6213bff15
Homepage: https://cran.r-project.org/package=rytstat
Description: CRAN Package 'rytstat' (Work with 'YouTube API')
 Provide function for get data from 'YouTube Data API'
 <https://developers.google.com/youtube/v3/docs/>, 'YouTube Analytics API'
 <https://developers.google.com/youtube/analytics/reference/> and 'YouTube
 Reporting API' <https://developers.google.com/youtube/reporting/v1/reports>.

Package: r-cran-rywaasb
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-factoextra, r-cran-factominer, r-cran-lifecycle, r-cran-mathjaxr
Suggests: r-cran-car, r-cran-metan, r-cran-devtools, r-cran-usethis, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rywaasb_0.3-1.ca2004.1_all.deb
Size: 275368
MD5sum: b08a34802b794cc22ad71eb85455c9f6
SHA1: 8714073166db0631d2597ed0afb524a1c9311071
SHA256: 82bfffcd8ef9610e4272c72a45ad51ef89cba2355be86e5ee0c7e2e8381f4f7b
SHA512: 95f4638963969af8ac40c2e2fec12fdfd4aa2e0efafcb4e1c185be2784b9e798ce24a1123574929b18c9ecd4876d7856f83e55ccba64e6653375f989dce294e8
Homepage: https://cran.r-project.org/package=rYWAASB
Description: CRAN Package 'rYWAASB' (Simultaneous Selection by Trait and WAASB Index)
 This tool proposes a new ranking algorithm that utilizes a "Y*WAASB" biplot
 generated by the 'metan'. The aim of the current package is to effectively
 distinguish the top-ranked genotypes in MET (Multi-Environmental Trials).
 For a detailed explanation of the process of obtaining "WAASB", "WAASBY"
 indices, and a "Y*WAASB" biplot, refer to the manual included in this
 package as well as the study by Olivoto & Lúcio (2020)
 <doi:10.1111/2041-210X.13384>. In this context, "WAASB" refers to the
 "Weighted Average of Absolute Scores" provided by Olivoto et al. (2019)
 <doi:10.2134/agronj2019.03.0220>, which quantifies the stability of
 genotypes across different environments using linear mixed-effect models. To
 run the package, you need to extract the "WAASB" and "WAASBY" coefficients
 using the 'metan' and apply them. This tool utilizes PCA (Principal
 Component Analysis) and differentiates the entries which may be genotypes,
 hybrids, varieties, etc using "WAASB", "WAASBY", and a combination of the
 specified trait and WAASB index.

Package: r-cran-rzabbix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-rzabbix_0.1.0-1.ca2004.1_all.deb
Size: 16140
MD5sum: 311625cffe8895188dfa9e83f54819f1
SHA1: e151be4e8d48753df0b46d5090d656b58225845f
SHA256: 325889d068fc557514df31fdee9bf5ac27b172cf89e414b3386652a1b8dc36e6
SHA512: 139081b0ab32e20d566f98b40202e877c99fcc0abb50f292c9d53bae1b23053db0e0f21e5d68c9e6951ca763dff4067c8e0149d8523e7df0b41668238025d40a
Homepage: https://cran.r-project.org/package=RZabbix
Description: CRAN Package 'RZabbix' (R Module for Working with the 'Zabbix API')
 R interface to the 'Zabbix API' data
 <https://www.zabbix.com/documentation/3.0/manual/api/reference>. Enables
 easy and direct communication with 'Zabbix API' from 'R'.

Package: r-cran-rzentra
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-rzentra_0.1.0-1.ca2004.1_all.deb
Size: 26960
MD5sum: addc408c54a982e34e6edaeddc6979f4
SHA1: cef88d4eecd341000e50edd917567d7d2a8c6d4b
SHA256: 3a030889e7ab0931e6a99722313fc6285286e4ff2ed8caf70fec1ddc6d22a7bf
SHA512: 4708703c16ac1d9190efae49177adcab062f0ea53f6d91e4015d68540aaa9a3034eedeafb855eee24ef03ed2164a1732b00502960898aec15e8d13ee311cbf6b
Homepage: https://cran.r-project.org/package=rzentra
Description: CRAN Package 'rzentra' (Client for the 'ZENTRA Cloud' API)
 Provides functionality to read settings, statuses and readings of weather
 stations from the 'ZENTRA Cloud' API
 <https://zentracloud.com/api/v1/guide#APIGuidelines>.

Package: r-cran-s20x
Architecture: all
Version: 3.1-40-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-emmeans
Filename: pool/dists/focal/main/r-cran-s20x_3.1-40-1.ca2004.1_all.deb
Size: 356260
MD5sum: d3d3bbf3a745578ef925857d998ee47c
SHA1: 2dd7aa8b9c680f6684ca6aeaac2b13b9cb455d7b
SHA256: 8ccb51d869352035db2237714e61664c4146cd2cc646b5f0f537121c6a3385b9
SHA512: 94974a111b10de607f89bbfe0b6423fb0b40df4817801d3fb9f1e91a50a765a18d2984b8ab512f0861221904b0ee793ccd4ffbb7195134f3a328bbbbcd807f5f
Homepage: https://cran.r-project.org/package=s20x
Description: CRAN Package 's20x' (Functions for University of Auckland Course STATS 201/208 DataAnalysis)
 A set of functions used in teaching STATS 201/208 Data Analysis at the
 University of Auckland. The functions are designed to make parts of R more
 accessible to a large undergraduate population who are mostly not statistics
 majors.

Package: r-cran-s2dv
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2311
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-bigmemory, r-cran-maps, r-cran-mapproj, r-cran-climprojdiags, r-cran-plyr, r-cran-ncdf4, r-cran-nbclust, r-cran-multiapply, r-cran-specsverification, r-cran-easyncdf, r-cran-easyverification
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-s2dv_2.1.0-1.ca2004.1_all.deb
Size: 2275884
MD5sum: 1c6112c411f13964b8b7226f2329a5c9
SHA1: f195006f78af63c8cf4cb5a2e5781ac68eb0afc2
SHA256: fd8ffcc661cdad54375121707574629c7e3707a7903754a2696426d600b634c1
SHA512: ee7098c9b49a3a8a0cc297c51631794a789325eacc7a30a9d2ac1f5fedb6b84b77f964947d47a0ccea3ed8b423bb95b11e23d85f3e51b428a0fe002460bb85a8
Homepage: https://cran.r-project.org/package=s2dv
Description: CRAN Package 's2dv' (A Set of Common Tools for Seasonal to Decadal Verification)
 The advanced version of package 's2dverification'. It is intended for
 'seasonal to decadal' (s2d) climate forecast verification, but it can also
 be used in other kinds of forecasts or general climate analysis.  This
 package is specially designed for the comparison between the experimental
 and observational datasets. The functionality of the included functions
 covers from data retrieval, data post-processing, skill scores against
 observation, to visualization. Compared to 's2dverification', 's2dv' is more
 compatible with the package 'startR', able to use multiple cores for
 computation and handle multi-dimensional arrays with a higher flexibility.
 The CDO version used in development is 1.9.8.

Package: r-cran-s2dverification
Architecture: all
Version: 2.10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2477
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maps, r-cran-abind, r-cran-bigmemory, r-cran-geomap, r-cran-geomapdata, r-cran-mapproj, r-cran-nbclust, r-cran-ncdf4, r-cran-plyr, r-cran-specsverification
Suggests: r-cran-easyverification, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-s2dverification_2.10.3-1.ca2004.1_all.deb
Size: 1964316
MD5sum: 5546a116e2ab362de7644e80cc24da42
SHA1: 30d7af2c930d808f8c9d6357d24a343fc5dc5505
SHA256: 1fcfa140a5800649bcaae28f0543b85a50b1d1edcda85d5670e1d26855c50888
SHA512: f08c11c19a58dcb721ccbd3216af412dbbab732bf2462a87b4332d56514e01ecbd61baddbcd4a7b90b423c87ec7b5bfaee2c96d4e0d27e2bc5eea9c659a61628
Homepage: https://cran.r-project.org/package=s2dverification
Description: CRAN Package 's2dverification' (Set of Common Tools for Forecast Verification)
 Set of tools to verify forecasts through the computation of typical
 prediction scores against one or more observational datasets or reanalyses
 (a reanalysis being a physical extrapolation of observations that relies on
 the equations from a model, not a pure observational dataset). Intended for
 seasonal to decadal climate forecasts although can be useful to verify other
 kinds of forecasts. The package can be helpful in climate sciences for other
 purposes than forecasting. To find more details, see the review paper
 Manubens, N.et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>.

Package: r-cran-s2sls
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spanel
Filename: pool/dists/focal/main/r-cran-s2sls_0.1-1.ca2004.1_all.deb
Size: 18412
MD5sum: 8f81cac63299d354c54219fc20240671
SHA1: 114c244f50a83d3f598f677083bf828b2cf3e86e
SHA256: 36add96280d63a92c979c85be8267a36c1461872231e5d3bf43971de44168b6d
SHA512: 5583131b95a426699b6bfd9211ec1e240b5f1cfa8e0eafa3621229c42fc2f4a68632ff86c80115566d4b2a1ffd2a97c84b9118efa05cf11fd382758d75f544e3
Homepage: https://cran.r-project.org/package=S2sls
Description: CRAN Package 'S2sls' (Spatial Two Stage Least Squares Estimation)
 Fit a spatial instrumental-variable regression by two-stage least squares.

Package: r-cran-s3.resourcer
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-resourcer, r-cran-aws.s3, r-cran-sparklyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-s3.resourcer_1.1.2-1.ca2004.1_all.deb
Size: 95308
MD5sum: 844b67e187f4b5036d4fb6d62adda0c3
SHA1: 18c9eb773a09b4af50505c4cb76f9375b7bcce9a
SHA256: 0ee8384a41b2bc4f0f8c39c236538c8fff797a2238b4b05bdcccacd9a90174f6
SHA512: 9889572d8b6a6e619a67f50b66f5c6bf70a1709ca531719760b373cb99bd12d72cb105afdce687c128be2c6158eaa9b53c7a7cb8d394b6a32ab651970c03cd2d
Homepage: https://cran.r-project.org/package=s3.resourcer
Description: CRAN Package 's3.resourcer' (S3 Resource Resolver)
 A S3 resource is provided by Amazon Web Services S3 or a S3-compatible
 object store (such as Minio).  The resource can be a tidy file to be
 downloaded from the object store, or a data lake (such as Delta Lake)
 Parquet file to be read by Apache Spark.

Package: r-cran-s3
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-prettyunits, r-cran-fs, r-cran-rlang, r-cran-httr, r-cran-glue, r-cran-purrr, r-cran-dplyr
Suggests: r-cran-aws.signature, r-cran-testthat, r-cran-digest, r-cran-withr
Filename: pool/dists/focal/main/r-cran-s3_1.1.0-1.ca2004.1_all.deb
Size: 29080
MD5sum: d5e88d9c842e9c5295a42d92f81a9b8c
SHA1: 9027de5319983b09e957143cbf571940960880cf
SHA256: d022fdd68cdb3152deee53fedb3e4e49fd30e74fdcad2e09f7563482ec89bf3d
SHA512: 44da8cf6e838157a8790a5ff08a3e066443fda65cce99e8a11e82a2f9d05251b2aedcc6034e623fd8c7f124b382aa44940f04ba38439123e9f3381b2c560cb1f
Homepage: https://cran.r-project.org/package=s3
Description: CRAN Package 's3' (Download Files from 'AWS S3')
 Download files hosted on 'AWS S3' (Amazon Web Services Simple Storage
 Service; <https://aws.amazon.com/s3/>) to a local directory based on their
 URI. Avoid downloading files that are already present locally.  Allow for
 customization of where to store downloaded files.

Package: r-cran-s3fs
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 312
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-r6, r-cran-data.table, r-cran-fs, r-cran-future, r-cran-future.apply, r-cran-lgr, r-cran-paws.storage
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-s3fs_0.1.7-1.ca2004.1_all.deb
Size: 270704
MD5sum: adc373e17c611deea5455e54452897fe
SHA1: d22538d3feab2c0faace5976d77b581724fcce1e
SHA256: a131634dbd263a9f4cb0b9d58495a11e80bad7e59ac7832b4fcce72a7b64493e
SHA512: af5711a1a511e032c54098137bacfb4445d8a1579fe81354a85021602166cd2cbb52a54bf47c8ceb9db1888feb5cdd9361e7a4d3680ee46a7a4d6c4139e33293
Homepage: https://cran.r-project.org/package=s3fs
Description: CRAN Package 's3fs' ('Amazon Web Service S3' File System)
 Access 'Amazon Web Service Simple Storage Service' ('S3')
 <https://aws.amazon.com/s3/> as if it were a file system. Interface based on
 the R package 'fs'.

Package: r-cran-s4dm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-corpcor, r-cran-densratio, r-cran-flexclust, r-cran-geometry, r-cran-kernlab, r-cran-maxnet, r-cran-mvtnorm, r-cran-np, r-cran-proc, r-cran-robust, r-cran-rvinecopulib, r-cran-sf, r-cran-terra, r-cran-dplyr, r-cran-rdpack
Suggests: r-cran-geodata, r-cran-bien, r-cran-ggplot2, r-cran-tidyterra, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-s4dm_0.0.1-1.ca2004.1_all.deb
Size: 232612
MD5sum: 209561a591887a3320f5969718f7ccbe
SHA1: 36286865ce5649df0a85bfa6ee0fed0497233e47
SHA256: 7b789fabc080972e34817a414387c0055b160e222ecb200ffc6cfa68be637917
SHA512: c0aa1db73d54ca944e5f1008e7aa82d9c8b9e10916b95a27d7e6a522d0adc6098a809aebad3c59ae44f4cdb49a01b9fbe0c934afc241da8e9bbf35d42d164f4e
Homepage: https://cran.r-project.org/package=S4DM
Description: CRAN Package 'S4DM' (Small Sample Size Species Distribution Modeling)
 Implements a set of distribution modeling methods that are suited to species
 with small sample sizes (e.g., poorly sampled species or rare species).
 While these methods can also be used on well-sampled taxa, they are united
 by the fact that they can be utilized with relatively few data points. More
 details on the currently implemented methodologies can be found in Drake and
 Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015)
 <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>.

Package: r-cran-s4vd
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biclust, r-cran-irlba, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-s4vd_1.1-1-1.ca2004.1_all.deb
Size: 173440
MD5sum: bbbe5ce3ab0261f277465d5295b8e1ef
SHA1: a0bd296293bb39563d220e0a3e5482b565a06844
SHA256: 8e56f5cdf4351a82489b9aed7b51ee65cd4c96f8a452a9e494b326daf6f5753a
SHA512: 2f697d294d85219107c9577844c5945d2410104c02810bf8e73f72659bbdc66f2692305772ff9b70022e4007e3bc05691804ed5f13869e92fecaaaaf1da3ad61
Homepage: https://cran.r-project.org/package=s4vd
Description: CRAN Package 's4vd' (Biclustering via Sparse Singular Value DecompositionIncorporating Stability Selection)
 The main function s4vd() performs a biclustering via sparse singular value
 decomposition with a nested stability selection.  The results is an biclust
 object and thus all methods of the biclust package can be applied.

Package: r-cran-saascnv
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1062
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rann, r-bioc-dnacopy
Filename: pool/dists/focal/main/r-cran-saascnv_0.3.4-1.ca2004.1_all.deb
Size: 996040
MD5sum: e25e00b2f95efddc72531b6898ae85fc
SHA1: 3d998b6a7fe8d1b2d49c0ad4d92aa33f30222f65
SHA256: 1d8b849fdbaf83c50c32388eb06bbf1996d120c17347d9021646759e01c1a2f0
SHA512: ca1bafd892bd9d87c120a9324bf852c94bee3fb2b763b1f757539bda850bd963204a2b4808c4a64d094893f92fe0b7912ef7b55d26f8d3903d941f69eee974da
Homepage: https://cran.r-project.org/package=saasCNV
Description: CRAN Package 'saasCNV' (Somatic Copy Number Alteration Analysis Using Sequencing and SNPArray Data)
 Perform joint segmentation on two signal dimensions derived from total read
 depth (intensity) and allele specific read depth (intensity) for whole
 genome sequencing (WGS), whole exome sequencing (WES) and SNP array data.

Package: r-cran-sabarsi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1069
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sabarsi_0.1.0-1.ca2004.1_all.deb
Size: 993496
MD5sum: 128918e686c806b61032df26f9d7a9de
SHA1: a0097c89800598cc805800e6ed70ca78036254f3
SHA256: f2a13f520ed1365369bd349ec3ee2f6decf6ee7d0dc6887d306d2a8bb82462e4
SHA512: d70f52a985fc7a5aa12af13529115cdb14375edb9d748c10f38a0a4c1800a4f04e0d7f21a9b7100f2e3aa043da5f1cca05c83483080b63ee564d3071cdd73215
Homepage: https://cran.r-project.org/package=sabarsi
Description: CRAN Package 'sabarsi' (Background Removal and Spectrum Identification for SERS Data)
 Implements a new approach 'SABARSI' described in Wang et al., "A Statistical
 Approach of Background Removal and Spectrum Identification for SERS Data"
 (Unpublished).  Sabarsi forms a pipeline for SERS (surface-enhanced Raman
 scattering) data analysis including background removal, signal detection,
 signal integration, and cross-experiment comparison. The background removal
 algorithm, the very first step of SERS data analysis, takes into account the
 change of background shape.

Package: r-cran-sabre
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 743
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-entropy, r-cran-raster, r-cran-rlang, r-cran-sf, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sabre_0.4.3-1.ca2004.1_all.deb
Size: 628020
MD5sum: 3f041bd016c6477732034261ea6e4cfb
SHA1: 02799f848d8d9c8ba30f88f4d071b0b0203a9ff4
SHA256: c1c9f2cabb15ef663a5ad8210a98a3026058209d3698f4537b4d516e6b70b575
SHA512: 59bd906a3ef44856c2d458c4f5d0c03372576d24c32f088e34b30c1940d310dbc45515ea3e22506d9d5332083e391df33637696a9f68f19a63080a4c6e6b676d
Homepage: https://cran.r-project.org/package=sabre
Description: CRAN Package 'sabre' (Spatial Association Between Regionalizations)
 Calculates a degree of spatial association between regionalizations or
 categorical maps using the information-theoretical V-measure (Nowosad and
 Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also offers an R
 implementation of the MapCurve method (Hargrove et al. (2006)
 <doi:10.1007/s10109-006-0025-x>).

Package: r-cran-sac
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sac_1.0.2-1.ca2004.1_all.deb
Size: 89712
MD5sum: 710580e72d0a809361ba551c72b3ee82
SHA1: 167523155b6c5fc37881ae7beb8eef27bea14ca4
SHA256: e21b47e48993109e56009fdfe1b2f4706b29b8c7f8a6f378197d9725615a9f35
SHA512: 31468e8f5030a962515cb585665fc84cecac80dc6ed8a7e74ab1a0504a84dd4f626635589352bdfa38020066204f766bad2861632517d1f3bcd4ce70f0c04015
Homepage: https://cran.r-project.org/package=sac
Description: CRAN Package 'sac' (Semiparametric Analysis of Change-Point)
 Semiparametric empirical likelihood ratio based tests of change-point with
 one-change or epidemic alternatives with data-based model diagnostic are
 contained.

Package: r-cran-saccr
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.tree, r-cran-jsonlite, r-cran-trading
Filename: pool/dists/focal/main/r-cran-saccr_3.3-1.ca2004.1_all.deb
Size: 108904
MD5sum: b9e3dc9a882493abcbc4e615408e5ca2
SHA1: f59d9168b7a2e14a1aa4b5f756dd1a7dffe561ee
SHA256: 62650a77752b28816d2b9c47bf30c029ea8c511675037c7585e5d776aa8e9f20
SHA512: d930c3257bccdf0010f6ecc0479c6bcf765d4054476128e0b83b4448b37053db267af9762cd9d68a61edf6bca5b06ac2907bb8fcfc76af522c15459ae7a82b96
Homepage: https://cran.r-project.org/package=SACCR
Description: CRAN Package 'SACCR' (SA Counterparty Credit Risk under CRR2)
 Computes the Exposure-At-Default based on the standardized approach of CRR2
 (SA-CCR). The simplified version of SA-CCR has been included, as well as the
 OEM methodology.  Multiple trade types of all the five major asset classes
 are being supported including the Other Exposure and, given the inheritance-
 based structure of the application, the addition of further trade types is
 straightforward. The application returns a list of trees per Counterparty
 and CSA after automatically separating the trades based on the Counterparty,
 the CSAs, the hedging sets, the netting sets and the risk factors. The basis
 and volatility transactions are also identified and treated in specific
 hedging sets whereby the corresponding penalty factors are applied. All the
 examples appearing on the regulatory papers (both for the margined and the
 unmargined workflow) have been implemented including the latest CRR2
 developments.

Package: r-cran-sacobra
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testit, r-cran-mgcv, r-cran-r6
Suggests: r-cran-nloptr, r-cran-fnn, r-cran-mass, r-cran-dfoptim, r-cran-deoptim, r-cran-lhs, r-cran-rgl, r-cran-scales, r-cran-numderiv, r-cran-pracma, r-cran-reshape2, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-sacobra_1.2-1.ca2004.1_all.deb
Size: 479208
MD5sum: d34c8167c89a76c089fd634aa5ae82d2
SHA1: b9c3bbd0b33b893aa7fe55ff5bbe959f7aff0fd2
SHA256: a5de26394a554c0837d82890c86a8c97a16f623df727ed303d6c9867256a5db2
SHA512: c21bffa06f7cc3d40332c86c635830b0199779899c91805af68b25627f75762fe15ab6fa4442b1a0710c8fdd99c5aec1674812ead6977ebe3d0607ca358d2b76
Homepage: https://cran.r-project.org/package=SACOBRA
Description: CRAN Package 'SACOBRA' (Self-Adjusting COBRA)
 Performs surrogate-assisted optimization for expensive black-box constrained
 problems.

Package: r-cran-sad
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dualtrees, r-cran-emdist
Filename: pool/dists/focal/main/r-cran-sad_0.1.3-1.ca2004.1_all.deb
Size: 824908
MD5sum: 5dca6bc6be8a892ac791efef6e822b3e
SHA1: fdc9e792aa1073ff96ae711da1fe092c7285a117
SHA256: 5df603b074a958b4ff4489699c5ad23b0cc766ccbfcbaeb0fbccf56d1e6a08e1
SHA512: 097e6bc797250229c100f5d329a41e826b7464f11b2f6a70c0cf81e5b145abf1a51d812ca15423e08b6468d88740d554a67158b2c54fa4a64a90806aa9b5c5b4
Homepage: https://cran.r-project.org/package=sad
Description: CRAN Package 'sad' (Verify the Scale, Anisotropy and Direction of Weather Forecasts)
 Implementation of the wavelet-based spatial verification method of Buschow
 and Friederichs "SAD: Verifying the Scale, Anisotropy and Direction of
 precipitation forecasts" (2020, submitted to QJRMS). Forecasts and
 Observations are transformed by a decimated or redundant dual-tree complex
 wavelet transform to analyze the spatial scale, degree of anisotropy and
 preferred direction in each field. These structural attributes are compared
 by a series of scores. An experimental algorithm for the correction of these
 errors is included as well.

Package: r-cran-sadeg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sadeg_1.0.0-1.ca2004.1_all.deb
Size: 47984
MD5sum: f960358082d502e762361851c55401c7
SHA1: 580e8fb11b40bead9dad42d1b48a93213092f740
SHA256: 0752df92b0fc3630ceee6b4c0663c57fd44e7c47126d00e92c158bd6a31ba3e1
SHA512: 491dcdbf2142848ab74fd122d6b760b52f0052fca8e4d0877550aebd2e0e56854d58a8979d705a9b3e8e6826da90fed1b66c7f14d80f0936529af57ea14164b5
Homepage: https://cran.r-project.org/package=SADEG
Description: CRAN Package 'SADEG' (Stability Analysis in Differentially Expressed Genes)
 We analyzed the nucleotide composition of genes with a special emphasis on
 stability of DNA sequences. Besides, in a variety of different organisms
 unequal use of synonymous codons, or codon usage bias, occurs which also
 show variation among genes in the same genome. Seemingly, codon usage bias
 is affected by both selective constraints and mutation bias which allows and
 enables us to examine and detect changes in these two evolutionary forces
 between genomes or along one genome. Therefore, we determined the codon
 adaptation index (CAI), effective number of codons (ENC) and codon usage
 analysis with calculation of the relative synonymous codon usage (RSCU), and
 subsequently predicted the translation efficiency and accuracy through
 GC-rich codon usages. Furthermore, we estimated the relative stability of
 the DNA sequence following calculation of the average free energy (Delta G)
 and Dimer base-stacking energy level.

Package: r-cran-sadisa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-ddd
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sadisa_1.2-1.ca2004.1_all.deb
Size: 128848
MD5sum: 6a26a5496fea569e46cd0ab31a673cbf
SHA1: 3452b866976ec57d78c4a61af7bae5732907407f
SHA256: 304fd3ac3c71ae409e569bf3682dfb4b216f0a0bc06a93dc91f18b5e04624d64
SHA512: 5bdc2d2630efe3e7ed56a378c39684c13a50f5d25b71b71454268b0e7900caa59f107fea2951668a0990a03ed8bf413694ca96b80b653c2f4799d134cfa73597
Homepage: https://cran.r-project.org/package=SADISA
Description: CRAN Package 'SADISA' (Species Abundance Distributions with Independent-SpeciesAssumption)
 Computes the probability of a set of species abundances of a single or
 multiple samples of individuals with one or more guilds under a
 mainland-island model. One must specify the mainland (metacommunity) model
 and the island (local) community model. It assumes that species fluctuate
 independently. The package also contains functions to simulate under this
 model. See Haegeman, B. & R.S. Etienne (2017). A general sampling formula
 for community structure data. Methods in Ecology & Evolution 8: 1506-1519
 <doi:10.1111/2041-210X.12807>.

Package: r-cran-sadists
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 599
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pdqutils, r-cran-hypergeo, r-cran-orthopolynom
Suggests: r-cran-sharper, r-cran-shiny, r-cran-testthat, r-cran-ggplot2, r-cran-xtable, r-cran-formatr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sadists_0.2.5-1.ca2004.1_all.deb
Size: 472268
MD5sum: 52e688bb5f2b0a3c25a4814cca7fcf51
SHA1: 450a9e60bb4a7e8b9eb9872173ecef97d648a216
SHA256: a5f2e3205d78decfc110a37e1cd8dab3fb54c03ed2c905316b1b16c52eb65cd6
SHA512: 5458444ea0a438b38a070e3671d0f57c4b584c432f5d6b3d121df08039ad2fea0259332d3f9a2e097fd53de7d7a63f015e4c35e3ece48ffffda64e3662f67a5f
Homepage: https://cran.r-project.org/package=sadists
Description: CRAN Package 'sadists' (Some Additional Distributions)
 Provides the density, distribution, quantile and generation functions of
 some obscure probability distributions, including the doubly non-central t,
 F, Beta, and Eta distributions; the lambda-prime and K-prime; the upsilon
 distribution; the (weighted) sum of non-central chi-squares to a power; the
 (weighted) sum of log non-central chi-squares; the product of non-central
 chi-squares to powers; the product of doubly non-central F variables; the
 product of independent normals.

Package: r-cran-sae.projection
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4616
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidymodels, r-cran-fselector, r-cran-glmnet, r-cran-xgboost, r-cran-survey, r-cran-cli, r-cran-doparallel, r-cran-dplyr, r-cran-parsnip, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-tune, r-cran-workflows, r-cran-yardstick, r-cran-bonsai, r-cran-ranger, r-cran-randomforest, r-cran-themis, r-cran-lightgbm, r-cran-caret
Filename: pool/dists/focal/main/r-cran-sae.projection_0.1.3-1.ca2004.1_all.deb
Size: 4652940
MD5sum: 4b8281bdf4c5294d81d57d6df341b589
SHA1: 80fed6577a77706f5ad7e234991dae05e146efe7
SHA256: a42dfdeba2568c2d587bab9d35ebc30c6a9d7a7790f352ba9ff493676ba15d07
SHA512: e6390cebc681134b7f442eb3bdcaaf0b1a6e2c379ec89b51b5a91fb235e1c2294054b095e32908d7316043de49e645a7da834f1468d9533e3620fb68016da65b
Homepage: https://cran.r-project.org/package=sae.projection
Description: CRAN Package 'sae.projection' (Small Area Estimation Using Model-Assisted Projection Method)
 Combines information from two independent surveys using a model-assisted
 projection method. Designed for survey sampling scenarios where a large
 sample collects only auxiliary information (Survey 1) and a smaller sample
 provides data on both variables of interest and auxiliary variables (Survey
 2). Implements a working model to generate synthetic values of the variable
 of interest by fitting the model to Survey 2 data and predicting values for
 Survey 1 based on its auxiliary variables (Kim & Rao, 2012)
 <doi:10.1093/biomet/asr063>.

Package: r-cran-sae.prop
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magic, r-cran-mass, r-cran-corpcor, r-cran-progress, r-cran-fpc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sae.prop_0.1.2-1.ca2004.1_all.deb
Size: 347584
MD5sum: a3d7b0fd823ff08fc578c74792228f2c
SHA1: 897c6756bde5d4d1f82114b90695359bf5e8dcb7
SHA256: 4e1ce9b1e9baa4dcf48c6497c4aade95bf8db567d2d193d20e123db7964543f5
SHA512: 013636a5315cbd32142e6302c44fcb1721b297eb108ba8e52a3a2726d6bbdb0e70f08f9dcfacde79406b772fe1e9353fa75cb71d137b97824811d3d7777f3007
Homepage: https://cran.r-project.org/package=sae.prop
Description: CRAN Package 'sae.prop' (Small Area Estimation using Fay-Herriot Models with AdditiveLogistic Transformation)
 Implements Additive Logistic Transformation (alr) for Small Area Estimation
 under Fay Herriot Model. Small Area Estimation is used to borrow strength
 from auxiliary variables to improve the effectiveness of a domain sample
 size. This package uses Empirical Best Linear Unbiased Prediction (EBLUP).
 The Additive Logistic Transformation (alr) are based on transformation by
 Aitchison J (1986). The covariance matrix for multivariate application is
 based on covariance matrix used by Esteban M, Lombardía M, López-Vizcaíno E,
 Morales D, and Pérez A <doi:10.1007/s11749-019-00688-w>. The non-sampled
 models are modified area-level models based on models proposed by Anisa R,
 Kurnia A, and Indahwati I <doi:10.9790/5728-10121519>, with univariate model
 using model-3, and multivariate model using model-1. The MSE are estimated
 using Parametric Bootstrap approach. For non-sampled cases, MSE are
 estimated using modified approach proposed by Haris F and Ubaidillah A
 <doi:10.4108/eai.2-8-2019.2290339>.

Package: r-cran-sae2
Architecture: all
Version: 1.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-survey
Suggests: r-cran-sae
Filename: pool/dists/focal/main/r-cran-sae2_1.2-1-1.ca2004.1_all.deb
Size: 139640
MD5sum: 1225b2110a872a318ba8759f2ec9b607
SHA1: e11e83739d4145d5fd0a5c624e9f69705c868acf
SHA256: b487584a16e830cab65c5915b332505f51b9a889a273952f8f7929c4f4c541e2
SHA512: 524861e09477dbc0af4590c9c59de822a620a7f0f5cda5bea65640d59002cf86e22baeac21510fa33da3ef39cd3a24b0ff135653ad600b48e0d66080d3b38f98
Homepage: https://cran.r-project.org/package=sae2
Description: CRAN Package 'sae2' (Small Area Estimation: Time-Series Models)
 Time series area-level models for small area estimation.  The package
 supplements the functionality of the sae package.  Specifically, it includes
 EBLUP fitting of the original Rao-Yu model, which in the original form did
 not have a spatial component. The package also offers a modified ('dynamic')
 version of the Rao-Yu model, replacing the assumption of stationarity. Both
 univariate and multivariate applications are supported. Of particular note
 is the allowance for covariance of the area-level sample estimates over
 time, as encountered in rotating panel designs such as the U.S. National
 Crime Victimization Survey or present in a time-series of 5-year estimates
 from the American Community Survey. Key references to the methods include
 J.N.K. Rao and I. Molina (2015, ISBN:9781118735787), J.N.K. Rao and M. Yu
 (1994) <doi:10.2307/3315407>, and R.E. Fay and R.A. Herriot (1979)
 <doi:10.1080/01621459.1979.10482505>.

Package: r-cran-sae4health
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1152
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-golem, r-cran-gridextra, r-cran-htmltools, r-cran-htmlwidgets, r-cran-leaflet, r-cran-r6, r-cran-sf, r-cran-sp, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinywidgets, r-cran-summer, r-cran-surveyprev, r-cran-survey, r-cran-geodata, r-cran-bookdown, r-cran-markdown, r-cran-haven, r-cran-ggridges, r-cran-ggthemes, r-cran-rcolorbrewer, r-cran-viridislite, r-cran-scales, r-cran-patchwork, r-cran-leaflegend, r-cran-leafsync, r-cran-plotly, r-cran-readr, r-cran-sn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sae4health_1.2.3-1.ca2004.1_all.deb
Size: 1089924
MD5sum: 31a409d1a2a0a819cea66cdc52d8f235
SHA1: c820c1f301622caf2f016f6529970a7529450db9
SHA256: 99b4435eeb00711908b3929fd75043c6aacecc19c053353f0f20b9ae829c7889
SHA512: 75c470bb47d8a44265ea6b03ede406992bd8e7a3b55962e3ee8463390df35fb03848914ce39635b6ea644086e51d24131b51319633922042f2fa30f4938bdef2
Homepage: https://cran.r-project.org/package=sae4health
Description: CRAN Package 'sae4health' (Small Area Estimation for Key Health and Demographic Indicatorsfrom Household Surveys)
 Enables small area estimation (SAE) of health and demographic indicators in
 low- and middle-income countries (LMICs). It powers an R 'shiny' application
 for generating subnational estimates and prevalence maps of 150+ binary
 indicators from Demographic and Health Surveys (DHS). It builds on the SAE
 analysis workflow from the 'surveyPrev' package. For documentation, visit
 <https://sae4health.stat.uw.edu/>. Methodological details can be found at Wu
 et al. (2025) <doi:10.48550/arXiv.2505.01467>.

Package: r-cran-sae
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-sae_1.3-1.ca2004.1_all.deb
Size: 1172592
MD5sum: da2304905c19599266d1d5a4b667733e
SHA1: e63efea7762bfe455f13ba5bca23ed2ce3e37955
SHA256: b0118023cb2e78551d5fb4799a732e866dd8eae7ca61d6736ab149dfbe7b34fa
SHA512: af6a4f3e46b511ffd0ce9826e94fdb9d8abecbff6efee3d97dc76b5e1d2c9fd25d45ceaebd0c35a081a4ed7c4e233ae5f51295dbbaee032e70cef896ba8e93ea
Homepage: https://cran.r-project.org/package=sae
Description: CRAN Package 'sae' (Small Area Estimation)
 Functions for small area estimation.

Package: r-cran-saebest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sae
Filename: pool/dists/focal/main/r-cran-saebest_0.1.0-1.ca2004.1_all.deb
Size: 18740
MD5sum: a5e43649d61e76f757ad2bd290353e9a
SHA1: 0665bd66b70155bf8f91d749ab08ec9df186da0d
SHA256: 1d6b98bd4bef5712b2ac24642cf34c7acdcbcea32b642a3fe4aded6a8f11f184
SHA512: 3d56abef69442c4757095a1fcc2d72fbd7f28df2581ee7c9cca0591c42cc20189583c09afe84c331d2e130dc377e705ea956ee46a1255c4a2934d674f46ec9d6
Homepage: https://cran.r-project.org/package=saeBest
Description: CRAN Package 'saeBest' (Selecting Auxiliary Variables in Small Area Estimation (SAE)Model)
 Select best combination of auxiliary variables with certain criterion.

Package: r-cran-saebnocov
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-descr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saebnocov_0.1.0-1.ca2004.1_all.deb
Size: 79724
MD5sum: 222f3fda472296868260aa9366e7131e
SHA1: dd40d9be6b65087c575190e9bd039e8d59078675
SHA256: 779effa68baa7bcbb2d4282abc6a22dab10c6980e6ac12aa5eca0b49e52137d6
SHA512: e4dac1e56701bdd1288e0a1caca4c62dd2c99e089e4d124923a71e1c51dcf47a713e235ee979dc02dc24314aef48d0c0d866cf8836bed309c8ddef03ceda1232
Homepage: https://cran.r-project.org/package=saebnocov
Description: CRAN Package 'saebnocov' (Small Area Estimation using Empirical Bayes without AuxiliaryVariable)
 Estimates the parameter of small area in binary data without auxiliary
 variable using Empirical Bayes technique, mainly from Rao and Molina
 (2015,ISBN:9781118735787) with book entitled "Small Area Estimation Second
 Edition".  This package provides another option of direct estimation using
 weight.  This package also features alpha and beta parameter estimation on
 calculating process of small area.  Those methods are Newton-Raphson and
 Moment which based on Wilcox (1979) <doi:10.1177/001316447903900302> and
 Kleinman (1973) <doi:10.1080/01621459.1973.10481332>.

Package: r-cran-saeeb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-count, r-cran-mass
Filename: pool/dists/focal/main/r-cran-saeeb_0.1.0-1.ca2004.1_all.deb
Size: 32204
MD5sum: 40a6d96eb4a62ca78ce9bed65dc2e8cb
SHA1: 9d3a7a3e82d706bd14ef080a471a0f6d1e3440bf
SHA256: 4cf0406d2ae28f7a4db4163dee1e9c45a613059ef8288fc6c01dbae75ad528e3
SHA512: 2b720a6f0cdc80303ffd772bb327e917e76c4eaa47e86954f36510f59456b22a43742d1ec0921e760e588b2175e5800165bcf19d4145e7015d5c3bfa64d6a3cc
Homepage: https://cran.r-project.org/package=saeeb
Description: CRAN Package 'saeeb' (Small Area Estimation for Count Data)
 Provides small area estimation for count data type and gives option whether
 to use covariates in the estimation or not. By implementing Empirical Bayes
 (EB) Poisson-Gamma model, each function returns EB estimators and mean
 squared error (MSE) estimators for each area. The EB estimators without
 covariates are obtained using the model proposed by Clayton & Kaldor (1987)
 <doi:10.2307/2532003>, the EB estimators with covariates are obtained using
 the model proposed by Wakefield (2006) <doi:10.1093/biostatistics/kxl008>
 and the MSE estimators are obtained using Jackknife method by Jiang et. al.
 (2002) <doi:10.1214/aos/1043351257>.

Package: r-cran-saeforest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2924
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-ggplot2, r-cran-haven, r-cran-ineq, r-cran-lme4, r-cran-maptools, r-cran-pbapply, r-cran-pdp, r-cran-ranger, r-cran-reshape2, r-cran-vip
Suggests: r-cran-r.rsp, r-cran-sp, r-cran-rgeos, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saeforest_1.0.0-1.ca2004.1_all.deb
Size: 2916796
MD5sum: f6271944044a48fbfb03dfa5cd1e5ff1
SHA1: 005b0b816bb357d1522f9b91ee3fb88dd6352fc3
SHA256: d26a3c1844746796cfca34757ea9559851d7a22e03bf28d3d554a71487f24610
SHA512: 8a1c121282cc53b331c318d3c45de328b3210765f0bbade099b257dd37439c2d7b980ed86d408c799fc660d33569b55d1019155108d7f6b4526beb846e20699e
Homepage: https://cran.r-project.org/package=SAEforest
Description: CRAN Package 'SAEforest' (Mixed Effect Random Forests for Small Area Estimation)
 Mixed Effects Random Forests (MERFs) are a data-driven, nonparametric
 alternative to current methods of Small Area Estimation (SAE). 'SAEforest'
 provides functions for the estimation of regionally disaggregated linear and
 nonlinear indicators using survey sample data. Included procedures
 facilitate the estimation of domain-level economic and inequality metrics
 and assess associated uncertainty.  Emphasis lies on straightforward
 interpretation and visualization of results.  From a methodological
 perspective, the package builds on approaches discussed in Krennmair and
 Schmid (2022) <arXiv:2201.10933v2> and Krennmair et al. (2022)
 <arXiv:2204.10736>.

Package: r-cran-saehb.gpois
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saehb.gpois_0.1.1-1.ca2004.1_all.deb
Size: 39808
MD5sum: 713e5d476553de72df26b9b8c2ccebc3
SHA1: 7f806559ec7583bda3251a6862f31005eec97c45
SHA256: 091a3d04335fe3348558a07d55e71cff56ab678b9e3097a6c5081ccfbc95ec25
SHA512: 260eb4f1d86bceba1cc803216f5c100f3e7b43cedf4c5f81cc659f658a8d3c4eed75753c742c5d0099e9f203e82b3ca8dabd6e8fe5c6378adfea3f98d01fe23c
Homepage: https://cran.r-project.org/package=saeHB.gpois
Description: CRAN Package 'saeHB.gpois' (SAE using HB Method under Generalized Poisson Distribution)
 We designed this package to provide function for area level of Small Area
 Estimation using Hierarchical Bayesian (HB) method under Generalized Poisson
 Distribution. This package provides model using Univariate Generalized
 Poisson Distribution for variable of interest. Some datasets simulated by a
 data generation are also provided. The 'rjags' package is employed to obtain
 parameter estimates. Model-based estimators involves the HB estimators which
 include the mean and the variation of mean. For the reference, see Rao and
 Molina (2015) <doi:10.1002/9781118735855>, Wang (2021)
 <doi:10.1016/j.ecoinf.2021.101301> and Ntzoufras (2009)
 <doi:10.1002/9780470434567>.

Package: r-cran-saehb.hnb
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saehb.hnb_0.1.2-1.ca2004.1_all.deb
Size: 41620
MD5sum: dfe6317101772cd9caed97afa6fddf66
SHA1: 25236b87309b9197649cbac12b228843e19b1d9c
SHA256: 3c6d0100bafe43c4bca8c29c8f12b6cf8b347863f669cae5c4951333ac8bd463
SHA512: 8ae4307b0260450f406ca86475caa57362a2a7a3043ebcea3d9010ba0ee1b7907e369e614e10a2fae80f716e8e3b20a18c1fee71e1c6f942229e46c81130adde
Homepage: https://cran.r-project.org/package=saeHB.hnb
Description: CRAN Package 'saeHB.hnb' (Small Area Estimation under Hurdle Negative BinomialDistribution using Hierarchical Bayesian Method)
 We design this package to provide a function for area level of small area
 estimation using Hierarchical Bayesian (HB) method under Hurdle Negative
 Binomial Distribution. This package provides model using Univariate Hurdle
 Negative Binomial Distribution for variable of interest. This package also
 provides a dataset produced by a data generation. The 'rjags' package is
 employed to obtain parameter estimates. Model-based estimators involves the
 Hierarchical Bayes estimators which include the mean and the variation of
 mean. For references, see Hilbe (2011) <doi:10.1017/CBO9780511973420> and
 Rao (2015) <doi:10.1002/9781118735855>.

Package: r-cran-saehb.me.beta
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-rjags, r-cran-stringr
Suggests: r-cran-covr, r-cran-knitr, r-cran-r.rsp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saehb.me.beta_1.1.0-1.ca2004.1_all.deb
Size: 46960
MD5sum: 3a444058de9ddc12f4a91164c81ed187
SHA1: 08674eeea1caf742ea77ade99f74099c913995a0
SHA256: 1e162f539cc2d6d921ebacd995f55e7af21ce626e45c6de51db3463364595f34
SHA512: 3b23b24295dc46dc648fe7c2e8f4287af8fd5aa7d2c2fad54e4756de3aa84e1f95869fce347966ec8c1cdc111afc7e3395eebb54bbf04cdcf1c4a12c1b288308
Homepage: https://cran.r-project.org/package=saeHB.ME.beta
Description: CRAN Package 'saeHB.ME.beta' (SAE with Measurement Error using HB under Beta Distribution)
 Implementation of Small Area Estimation (SAE) using Hierarchical Bayesian
 (HB) Method when auxiliary variable measured with error under Beta
 Distribution. The 'rjags' package is employed to obtain parameter estimates.
 For the references, see J.N.K & Molina (2015) <doi:10.1002/9781118735855>,
 Ybarra and Sharon (2008) <doi:10.1093/biomet/asn048>, and Ntzoufras (2009,
 ISBN-10: 1118210352).

Package: r-cran-saehb.me
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-rjags, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-saehb.me_1.0.1-1.ca2004.1_all.deb
Size: 57272
MD5sum: ce6715c30924c9f6dcfe2075a8b71273
SHA1: c727f25d05e08ac4f4ebc8ad7988fa77c581eef3
SHA256: 996a912d7693e3677434ef5af36c7f91c2849e2c54520776a6126ec1a737f234
SHA512: 88d6c36fcee18d141e8d0fc30dbe17605f21b713031c586d559eb7284038ef95a7cabe6b3f39e9a83e7b0488a21b8c58f238658537e5ffbe2b352ddfbd38aede
Homepage: https://cran.r-project.org/package=saeHB.ME
Description: CRAN Package 'saeHB.ME' (Small Area Estimation with Measurement Error using HierarchicalBayesian Method)
 Implementation of small area estimation using Hierarchical Bayesian (HB)
 Method when auxiliary variable measured with error. The 'rjags' package is
 employed to obtain parameter estimates. For the references, see Rao and
 Molina (2015) <doi:10.1002/9781118735855>, Ybarra and Lohr (2008)
 <doi:10.1093/biomet/asn048>, and Ntzoufras (2009, ISBN-10: 1118210352).

Package: r-cran-saehb.panel.beta
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-dplyr, r-cran-rjags, r-cran-stringr
Suggests: r-cran-knitr, r-cran-r.rsp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saehb.panel.beta_0.1.5-1.ca2004.1_all.deb
Size: 79540
MD5sum: ecd0b8818805a4a2c1a1dc64446a69e8
SHA1: 2ca3a952aec6aead1c060e1185d7f36e4d53cb19
SHA256: ce6b1b3bfec96de097164146aba8c6f0f1235f06b8a482bb3a097e1a1ace293f
SHA512: c7ca5851a6f6acff3fc3522274a9fba2cefc0a6d7348c433252b9fde7f0b47c9ea3177fbd69212706f3911324d9979f327884f40ee86e206b3aefd493cdf9853
Homepage: https://cran.r-project.org/package=saeHB.panel.beta
Description: CRAN Package 'saeHB.panel.beta' (Small Area Estimation using HB for Rao Yu Model under BetaDistribution)
 Several functions are provided for small area estimation at the area level
 using the hierarchical bayesian (HB) method with panel data under beta
 distribution for variable interest. This package also provides a dataset
 produced by data generation. The 'rjags' package is employed to obtain
 parameter estimates. Model-based estimators involve the HB estimators, which
 include the mean and the variation of the mean. For the reference, see Rao
 and Molina (2015, ISBN: 978-1-118-73578-7).

Package: r-cran-saehb.panel
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saehb.panel_0.1.1-1.ca2004.1_all.deb
Size: 87904
MD5sum: d72cd9266d8341eb2cea142892f1e15f
SHA1: 80efa2bcd90a2e6a3dc78f3a4f30cb34dae7ba7c
SHA256: b7f200354180ef07849e7537de01553dd3cc79ff1117ad4608e4844124657dc7
SHA512: 6468840cd1045b8d2a6c24aa98c36e87544d60c6e7fbafa3f165b6f5faed4a915083a1b185bf917a5bec56b49ee905a79209cc9deb707e294ef0ffdc3f80ecce
Homepage: https://cran.r-project.org/package=saeHB.panel
Description: CRAN Package 'saeHB.panel' (Small Area Estimation using Hierarchical Bayesian Method for RaoYu Model)
 We designed this package to provide several functions for area level of
 small area estimation using hierarchical Bayesian (HB) method. This package
 provides model using panel data for variable interest.This package also
 provides a dataset produced by a data generation. The 'rjags' package is
 employed to obtain parameter estimates. Model-based estimators involves the
 HB estimators which include the mean and the variation of mean. For the
 reference, see Rao and Molina (2015).

Package: r-cran-saehb.spatial
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-saehb.spatial_0.1.1-1.ca2004.1_all.deb
Size: 43284
MD5sum: dec313e972d786b9971cbf3e9f10ba85
SHA1: a250adb3750df5484172f59738ae0b836bfdf847
SHA256: d259291a9a4a76c94c3dade88c28b7cc2940f4b9e782e2f0dd8c8f1e07fbed96
SHA512: 3b105d6b4684d93e8bee7cbd41daaa65e6d10f6e5c82c4805b0c03819bea7fb99fa324c547c6019badbcadc64eb5887a3fcf955c4b718b93bd10519981487c4a
Homepage: https://cran.r-project.org/package=saeHB.spatial
Description: CRAN Package 'saeHB.spatial' (Small Area Estimation Hierarchical Bayes For Spatial Model)
 Provides several functions and datasets for area level of Small Area
 Estimation under Spatial Model using Hierarchical Bayesian (HB) Method.
 Model-based estimators include the HB estimators based on a Spatial
 Fay-Herriot model with univariate normal distribution for variable of
 interest.The 'rjags' package is employed to obtain parameter estimates. For
 the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>.

Package: r-cran-saehb.twofold
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-stringr, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saehb.twofold_0.1.2-1.ca2004.1_all.deb
Size: 96108
MD5sum: 171682cb379e708e1ef6b98bf211aad4
SHA1: 3a87ebe28f58d9a6929909c7f8b07455f9ffe9d3
SHA256: 1f4e9d17ed97465c62bcb1d4ace654b1ae3c7f1287ba6be75cf4142d2be20069
SHA512: 30e0008400e60bbd30e257155ace506e59e54bc68174e0c8ada606a389ba276de70a6fa5069f6cd21feb8ab9c1dbc02ff95a83521590f3f582831c9cd3f77211
Homepage: https://cran.r-project.org/package=saeHB.twofold
Description: CRAN Package 'saeHB.twofold' (Hierarchical Bayes Twofold Subarea Level Model SAE)
 We designed this package to provides several functions for area and subarea
 level of small area estimation under Twofold Subarea Level Model using
 hierarchical Bayesian (HB) method with Univariate Normal distribution for
 variables of interest. Some dataset simulated by a data generation are also
 provided. The 'rjags' package is employed to obtain parameter estimates
 using Gibbs Sampling algorithm. Model-based estimators involves the HB
 estimators which include the mean, the variation of mean, and the quantile.
 For the reference, see Rao and Molina (2015) <doi:10.1002/9781118735855>,
 Torabi and Rao (2014) <doi:10.1016/j.jmva.2014.02.001>, Leyla Mohadjer et
 al.(2007)
 <http://www.asasrms.org/Proceedings/y2007/Files/JSM2007-000559.pdf>, and
 Erciulescu et al.(2019) <doi:10.1111/rssa.12390>.

Package: r-cran-saehb.unit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-coda, r-cran-dplyr, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-saehb.unit_0.1.0-1.ca2004.1_all.deb
Size: 347924
MD5sum: 537d54cd149e63ce1eee4ca7811b0857
SHA1: bccc01c69c7f0fed8f6a938daf6b8f67a02f2e27
SHA256: 134a1b98a42e92b91bd91bf58da4ec14cfe9c63e112b4d1dce78661b0a91f51d
SHA512: 6438149832da2b3cdc80c2b274bcfb154c8a61b27cae0a26ab2f86903cedab93a02b166f5e77f4a59d93b86dcc190ac7f4f544dfe7368e2a899c409321dcd923
Homepage: https://cran.r-project.org/package=saeHB.unit
Description: CRAN Package 'saeHB.unit' (Basic Unit Level Model using Hierarchical Bayesian Approach)
 Small area estimation unit level models (Battese-Harter-Fuller model) with a
 Bayesian Hierarchical approach. See also Rao & Molina (2015,
 ISBN:978-1-118-73578-7) and Battese et al. (1988)
 <doi:10.1080/01621459.1988.10478561>.

Package: r-cran-saehb.zib
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-saehb.zib_0.1.1-1.ca2004.1_all.deb
Size: 36212
MD5sum: 6385d59e9bbb014bc0788fd0151223d1
SHA1: ab8513a68b81d7c9cf6488383b5046da2be066fb
SHA256: 042156b26df4a7f9b5020704c7d27670962db69d1238e61e8f3defb595314d9d
SHA512: 75274ea6a245c0bfe04c3f1bfcdcedfecb0926fb8be24dff316d7a609da22a424e5407252fa05e0c29a4305911f70fa306b8166f5ef1aaf5410790429dc268f4
Homepage: https://cran.r-project.org/package=saeHB.ZIB
Description: CRAN Package 'saeHB.ZIB' (Small Area Estimation using Hierarchical Bayesian under ZeroInflated Binomial Distribution)
 Provides function for area level of small area estimation using hierarchical
 Bayesian (HB) method with Zero-Inflated Binomial distribution for variables
 of interest. Some dataset produced by a data generation are also provided.
 The 'rjags' package is employed to obtain parameter estimates. Model-based
 estimators involves the HB estimators which include the mean and the
 variation of mean.

Package: r-cran-saehb.zinb
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags
Suggests: r-cran-saehb, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saehb.zinb_0.1.1-1.ca2004.1_all.deb
Size: 48276
MD5sum: da8385fbbcf711a3527ecd786cf11338
SHA1: 634bb531e91d07ec7edccf03c874f6acb63be73a
SHA256: 9487fb8e3db6076cac3f36c6f0082885832602740db4594c79c9269e8fe457c9
SHA512: 0a06e948bbc88eb5d02a0ba574f2a9b345a534ddb1cb241dc01dc089d72f0671296fc1cdae5374ef4879416d66c7740311b03600630a282e9bb9439a3f95748a
Homepage: https://cran.r-project.org/package=saeHB.zinb
Description: CRAN Package 'saeHB.zinb' (Small Area Estimation using Hierarchical Bayesian under ZeroInflated Negative Binomial Distribution)
 We designed this package to provide a function for area level of small area
 estimation using Hierarchical Bayesian (HB) method under Zero Inflated
 Negative Binomial Distribution. This package provides model using Univariate
 Zero Inflated Negative Binomial Distribution for variable of interest. This
 package also provides a dataset produced by a data generation. The 'rjags'
 package is employed to obtain parameter estimates. Model-based estimators
 involves the HB estimators which include the mean and the variation of mean,
 and the quantile. For the reference, see Rao,J.N.K & Molina (2015)
 <doi:10.1002/9781118735855>.

Package: r-cran-saehb
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-coda, r-cran-rjags, r-cran-nimble, r-cran-carbayesdata, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saehb_0.2.2-1.ca2004.1_all.deb
Size: 210036
MD5sum: 5002d6b30eace46e7325f02d704f0b0d
SHA1: ad22b8fa55ae5ac80a2e49956193b04918d76610
SHA256: aeb3f4d5fdf70058ec11f7c450357e3ab62ed7283014958768d81fbd9fb4ca7e
SHA512: dbc01c716d98844738385f9a4287b8304c778764312a5303f1b7917d526c7f2d2538f1097ac81c3600d7fbe6aa59540f3aedd17cb73ff1281a29cd322361e0a2
Homepage: https://cran.r-project.org/package=saeHB
Description: CRAN Package 'saeHB' (Small Area Estimation using Hierarchical Bayesian Method)
 Provides several functions for area level of small area estimation using
 hierarchical Bayesian (HB) methods with several univariate distributions for
 variables of interest. The dataset that is used in every function is
 generated accordingly in the Example. The 'rjags' package is employed to
 obtain parameter estimates. Model-based estimators involve the HB estimators
 which include the mean and the variation of mean. For the reference, see Rao
 and Molina (2015) <doi:10.1002/9781118735855>.

Package: r-cran-saekernel
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-saekernel_0.1.1-1.ca2004.1_all.deb
Size: 24644
MD5sum: 167a9b1965674d0f409c2bda428c3d91
SHA1: 98b3a0ce99919fc4dd7b8d07f44ff95f574d6645
SHA256: 7218ed372e253453fb6569dda23251fc5a4c3cc1654856d5e6daeb25603aab2c
SHA512: d5270c69999f10916f3027b1cfa5628cfa2eadb065e35035ad01c39300f5586c09fdfb4d5f5c1e92c0282f8b102141e6b0c388777971e3bdb6fd51c759f00ee0
Homepage: https://cran.r-project.org/package=saekernel
Description: CRAN Package 'saekernel' (Small Area Estimation Non-Parametric Based Nadaraya-WatsonKernel)
 Propose an area-level, non-parametric regression estimator based on
 Nadaraya-Watson kernel on small area mean. Adopt a two-stage estimation
 approach proposed by Prasad and Rao (1990). Mean Squared Error (MSE)
 estimators are not readily available, so resampling method that called
 bootstrap is applied. This package are based on the model proposed in Two
 stage non-parametric approach for small area estimation by Pushpal
 Mukhopadhyay and Tapabrata Maiti(2004)
 <http://www.asasrms.org/Proceedings/y2004/files/Jsm2004-000737.pdf>.

Package: r-cran-saeme
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-saeme_1.3.1-1.ca2004.1_all.deb
Size: 54296
MD5sum: 37d9203ee7159dd7d013b61c927042ac
SHA1: 6397c15385783c370d5736f403e53cb290847b08
SHA256: 1482c5fe53eb04c7e14c58009c8dcb40c2520f772d6eb633d784cb1949f18231
SHA512: 4461febb17672cd2695761a322e0c4fd8dc5683c6c2f38e73e08022fca4bfcdd5a0980d2e6bbb36185408140806b4f01928755bd70ce3ec93c64f17571397c87
Homepage: https://cran.r-project.org/package=saeME
Description: CRAN Package 'saeME' (Small Area Estimation with Measurement Error)
 A set of functions and datasets implementation of small area estimation when
 auxiliary variable is measured with error. These functions provide a
 empirical best linear unbiased prediction (EBLUP) estimator and mean squared
 error (MSE) estimator of the EBLUP. These models were developed by Ybarra
 and Lohr (2008) <doi:10.1093/biomet/asn048>.

Package: r-cran-saemix
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4164
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-npde, r-cran-gridextra, r-cran-ggplot2, r-cran-rlang, r-cran-mclust, r-cran-scales, r-cran-mass
Suggests: r-cran-testthat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-saemix_3.3-1.ca2004.1_all.deb
Size: 3259624
MD5sum: e599a2b323e94c4feaaddf55c85bb3d4
SHA1: 5a7778bfddbad1e61e3ab76afd74f95c24db73c6
SHA256: bcf866e7120830f280c8ed167033b68d29b72778916bb1f0044635e2696c74a2
SHA512: 8b29282447b93882bd3520ec709a7b5ca6b8b7405b07ebd940fe397cd662b4f73cedf7e045a5dfe79e00aff8c3f59b932ae04fe237e41689ecd4ab4a5862d655
Homepage: https://cran.r-project.org/package=saemix
Description: CRAN Package 'saemix' (Stochastic Approximation Expectation Maximization (SAEM)Algorithm)
 The 'saemix' package implements the Stochastic Approximation EM algorithm
 for parameter estimation in (non)linear mixed effects models. The SAEM
 algorithm (i) computes the maximum likelihood estimator of the population
 parameters, without any approximation of the model (linearisation,
 quadrature approximation,...), using the Stochastic Approximation
 Expectation Maximization (SAEM) algorithm, (ii) provides standard errors for
 the maximum likelihood estimator (iii) estimates the conditional modes, the
 conditional means and the conditional standard deviations of the individual
 parameters, using the Hastings-Metropolis algorithm (see Comets et al.
 (2017) <doi:10.18637/jss.v080.i03>). Many applications of SAEM in agronomy,
 animal breeding and PKPD analysis have been published by members of the
 Monolix group. The full PDF documentation for the package including
 references about the algorithm and examples can be downloaded on the github
 of the IAME research institute for 'saemix':
 <https://github.com/iame-researchCenter/saemix/blob/7638e1b09ccb01cdff173068e01c266e906f76eb/docsaem.pdf>.

Package: r-cran-saens
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-saens_0.1.2-1.ca2004.1_all.deb
Size: 281304
MD5sum: e81021e4c10754df106d30838cadc8d6
SHA1: 0034cb22a5575f7b6b59854c2fa5f54c99427165
SHA256: 7ddc87987ac6138865eb8760e6be9251b89a5f2037dcd76ca32bda8c66befa22
SHA512: 9f648da4df370f28d53936007abefe4b64274358305f42a08a2529eaadcaf5b2f7e6c6cf96b439347255644e1c3de149864c741c92230680aa52f77ee0131bd1
Homepage: https://cran.r-project.org/package=saens
Description: CRAN Package 'saens' (Small Area Estimation with Cluster Information for Estimation ofNon-Sampled Areas)
 Implementation of small area estimation (Fay-Herriot model) with EBLUP
 (Empirical Best Linear Unbiased Prediction) Approach for non-sampled area
 estimation by adding cluster information and assuming that there are
 similarities among particular areas. See also Rao & Molina (2015,
 ISBN:978-1-118-73578-7) and Anisa et al. (2013) <doi:10.9790/5728-10121519>.

Package: r-cran-saepseudo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-sae
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saepseudo_0.1.0-1.ca2004.1_all.deb
Size: 27548
MD5sum: a3b04013707a3cfb2665289b13904bc7
SHA1: e858212237d42a30750f8beb2e24ac4a4f20c179
SHA256: 5c42a9c99e7f031e452b134a68376248b464b2c8cbda5c94117d378d5ceec417
SHA512: 270771acb712cf698a381ac269ad36a4f5e115db2a7d44100a171bdad800a1e129fc4cea36feba4a5de44013838e10a1cf6fa25831443b16be45878e98c6bb93
Homepage: https://cran.r-project.org/package=saePseudo
Description: CRAN Package 'saePseudo' (Small Area Estimation using Averaging Pseudo Area Level Model)
 Provides function for small area estimation at area level using averaging
 pseudo area level model for variables of interest.  A dataset produced by
 data generation is also provided. This package estimates small areas at the
 village level and then aggregates them to the sub-district, region, and
 provincial levels.

Package: r-cran-saery
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-saery_2.0-1.ca2004.1_all.deb
Size: 167552
MD5sum: 3d2d9612e053d6f0b6e71dd2dd8dc240
SHA1: 78558a86e17e3859624767e23152e93672816c7f
SHA256: 79539b52d1bf703e6601236ff6a0bd73bb633639e320fb7e19c5eec547041f2e
SHA512: bc92bdd1675e02af3991058ac177b4eecf104eca6469b7a16b9d56a7aa97d43911a97e946fe71b74a9bf4ff826b07097e3466393bfd0748b37c7b73f8d4a5462
Homepage: https://cran.r-project.org/package=saery
Description: CRAN Package 'saery' (Small Area Estimation for Rao and Yu Model)
 Functions to calculate EBLUPs (Empirical Best Linear Unbiased Predictor)
 estimators and their MSEs (Mean Squared Errors). Estimators are based on an
 area-level linear mixed model introduced by Rao and Yu (1994)
 <doi:10.2307/3315407>. The REML (Residual Maximum Likelihood) method is used
 for fitting the model.

Package: r-cran-saesim
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-functional, r-cran-ggplot2, r-cran-mass, r-cran-spdep, r-cran-parallelmap, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-saesim_0.11.0-1.ca2004.1_all.deb
Size: 298268
MD5sum: 716431238480a47559505f8168a7862b
SHA1: 0b851d8cb5114887f1c9f4a71c15112a1e57f8c7
SHA256: 6c0f072614a50c44fa8b2d0c7a85c4f0c1ed9d570f53ad30b686787d8923163c
SHA512: 39eb43ebeef2e4d0f51c9570a19dbae701ed9f54b6f699bf4fa0cfd56ce6a08b271b356f05aefa48bf6ce243488c3adffe10d6e4f011331e528cb1b5c467f985
Homepage: https://cran.r-project.org/package=saeSim
Description: CRAN Package 'saeSim' (Simulation Tools for Small Area Estimation)
 Tools for the simulation of data in the context of small area estimation.
 Combine all steps of your simulation - from data generation over drawing
 samples to model fitting - in one object. This enables easy modification and
 combination of different scenarios. You can store your results in a folder
 or start the simulation in parallel.

Package: r-cran-saetrafo
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2007
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-emdi, r-cran-sfsmisc, r-cran-parallelmap, r-cran-ggplot2, r-cran-moments, r-cran-openxlsx, r-cran-reshape2, r-cran-hlmdiag, r-cran-gridextra, r-cran-stringr, r-cran-readods, r-cran-rlang
Suggests: r-cran-simframe, r-cran-sf, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-saetrafo_1.0.4-1.ca2004.1_all.deb
Size: 1974924
MD5sum: 8d7432a54a32d23de7e2a1dfbcc65cc4
SHA1: e57f8c5cf83e0b7d01b48b943b94a91d6ae8dd37
SHA256: c6fb94d9f38664e977079db9fb633a33b385e7790916abc91d002aea2b9bfef9
SHA512: eaa07914d47e1dd775d1f320b271044d0a23a394649eafe419a138d5f87a17d7701886908b6ca2f14505dac95a6c3b2795981877a11b8e70b11bbcc87524f8c0
Homepage: https://cran.r-project.org/package=saeTrafo
Description: CRAN Package 'saeTrafo' (Transformations for Unit-Level Small Area Models)
 The aim of this package is to offer new methodology for unit-level small
 area models under transformations and limited population auxiliary
 information. In addition to this new methodology, the widely used nested
 error regression model without transformations (see "An Error-Components
 Model for Prediction of County Crop Areas Using Survey and Satellite Data"
 by Battese, Harter and Fuller (1988) <doi:10.1080/01621459.1988.10478561>)
 and its well-known uncertainty estimate (see "The estimation of the mean
 squared error of small-area estimators" by Prasad and Rao (1990)
 <doi:10.1080/01621459.1995.10476570>) are provided. In this package, the log
 transformation and the data-driven log-shift transformation are provided. If
 a transformation is selected, an appropriate method is chosen depending on
 the respective input of the population data: Individual population data (see
 "Empirical best prediction under a nested error model with log
 transformation" by Molina and Martín (2018) <doi:10.1214/17-aos1608>) but
 also aggregated population data (see "Estimating regional income indicators
 under transformations and access to limited population auxiliary
 information" by Würz, Schmid and Tzavidis <unpublished>) can be entered.
 Especially under limited data access, new methodologies are provided in
 saeTrafo. Several options are available to assess the used model and to
 judge, present and export its results. For a detailed description of the
 package and the methods used see the corresponding vignette.

Package: r-cran-saeval
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1040
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-car, r-cran-ggplot2, r-cran-ggspatial
Filename: pool/dists/focal/main/r-cran-saeval_1.0.0-1.ca2004.1_all.deb
Size: 1031716
MD5sum: a00b9650f7772c7c61c1894770599224
SHA1: c216ee759fe49776fefaaab0fb9df488d119f863
SHA256: 4310ac241e415cc912809675f5160ca7ff27b0a305f329e75dde0a7cb25d823a
SHA512: 81b58f597abae01e0d9b74456a37798f022ef067f5072337baf965e2656049f1a0455eaa177f8170e7788bf96628a0cf92e9598e520510a9c1d7d12128c32604
Homepage: https://cran.r-project.org/package=SAEval
Description: CRAN Package 'SAEval' (Small Area Estimation Evaluation)
 Allows users to produce diagnostic procedures and graphic tools for the
 evaluation of Small Area estimators.

Package: r-cran-safari
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-catools, r-bioc-ebimage, r-cran-lattice, r-cran-png
Filename: pool/dists/focal/main/r-cran-safari_0.1.0-1.ca2004.1_all.deb
Size: 59776
MD5sum: 7a2475f5a2db88569f99ac465d25147e
SHA1: a6fd048cd75257475b536dd83adac154818b3b29
SHA256: 6dd396d5ee981a5e8485f9e4293438c71475e5f5cc2891caa9bf9c7994aa3244
SHA512: 7778482d5106ff96cd4a967063c0d7be99267d29957ba449036b7c97d34de530ac6be97fca3e094156ed75c4820e86d3d1ba437ea520923d02dfd09222a5a17f
Homepage: https://cran.r-project.org/package=SAFARI
Description: CRAN Package 'SAFARI' (Shape Analysis for AI-Reconstructed Images)
 Provides functionality for image processing and shape analysis in the
 context of reconstructed medical images generated by deep learning-based
 methods or standard image processing algorithms and produced from different
 medical imaging types, such as X-ray, Computational Tomography (CT),
 Magnetic Resonance Imaging (MRI), and pathology imaging. Specifically,
 offers tools to segment regions of interest and to extract quantitative
 shape descriptors for applications in signal processing, statistical
 analysis and modeling, and machine learning.

Package: r-cran-safd
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-safd_2.1-1.ca2004.1_all.deb
Size: 114880
MD5sum: 9b983dd03774cc92099a40cb6de9718e
SHA1: 6f22df83134ce7b9bb8e720f294d270747287d2e
SHA256: ffd7e463e405d2eeecd3b348c194a388c91e8b20539e0f9197cd70d38ba2d3a7
SHA512: bd95bed47a838d2b2cf20f5001c5c9aa4810f1ee613033b6c999595d7368c5478f181a28cfd5775f689371e3fcb48571be6ea31732891eac6198cc7aee2a2256
Homepage: https://cran.r-project.org/package=SAFD
Description: CRAN Package 'SAFD' (Statistical Analysis of Fuzzy Data)
 The aim of the package is to provide some basic functions for doing
 statistics with one dimensional Fuzzy Data (in the form of polygonal fuzzy
 numbers). In particular, the package contains functions for the basic
 operations on the class of fuzzy numbers (sum, scalar product, mean, median,
 Hukuhara difference) as well as for calculating (Bertoluzza) distance and
 sample variance.  Moreover a function to simulate fuzzy random variables and
 bootstrap tests for the equality of means is included. Version 2.1 fixes
 some bugs of previous versions.

Package: r-cran-safebinaryregression
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-safebinaryregression_0.1-3-1.ca2004.1_all.deb
Size: 22500
MD5sum: e7fdace2eb759e60255d40a1fb3b0fe8
SHA1: b7d75b7463cb69a94af74f9a0ba2af35a8c6a083
SHA256: faac607b6922ee9b58179f7bb5de0d74ed93fee4f62bed316a821a88761b4d6a
SHA512: 961066751ac19c9047a7dc68b89678e059ad69cf8146570e68ca6d30af5278015a8c31ff6f6d73f0a0f6068ace51e2afc87b51f08fb915b758e277f3a8f5db50
Homepage: https://cran.r-project.org/package=safeBinaryRegression
Description: CRAN Package 'safeBinaryRegression' (Safe Binary Regression)
 Overloads the glm function in the stats package so that a test for the
 existence of the maximum likelihood estimate is included in the fitting
 procedure for binary regression models.

Package: r-cran-safedata
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-readxl, r-cran-jsonlite, r-cran-chron, r-cran-curl, r-cran-sf, r-cran-httr, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ape, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-safedata_1.1.3-1.ca2004.1_all.deb
Size: 748776
MD5sum: 371f2995b6eff924e84c66c775f01c50
SHA1: df66a588f0a5a33c31ca957a7ab072f927f5b561
SHA256: 1bb57071874fdb8e85e1a8c81b87ed4fa02d4e550573cfbbfdc6f9f9ca475be6
SHA512: 38df85b2e3b192f979d4847b2d773ddfffcf93bd1e0eff93a9557d6ac54acaa2bc455940a62d73fca8a7a0434b68935ce52ce36e9064864fb550c8429b99d49d
Homepage: https://cran.r-project.org/package=safedata
Description: CRAN Package 'safedata' (Interface to Data from the SAFE Project)
 The SAFE Project (<https://www.safeproject.net/>) is a large scale
 ecological experiment in Malaysian Borneo that explores the impact of
 habitat fragmentation and conversion on ecosystem function and services.
 Data collected at the SAFE Project is made available under a common format
 through the Zenodo data repository and this package makes it easy to
 discover and load that data into R.

Package: r-cran-safeframe
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-lifecycle, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-callr, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-safeframe_1.0.0-1.ca2004.1_all.deb
Size: 99844
MD5sum: 101a9140bc3813169ba5fbce8b04d6c4
SHA1: f9690fd0ebd877087f64aa0a82c47b775161bd0b
SHA256: d5f9f4efc973e00d1155fd683989fd259f05a75532eba8f5520715deec864aa0
SHA512: 978fd7f0bab7f4b230d1b053bb45b2382eee49c426d6015f015679060a5471b12260ed0fe767de3b8f5d92093ca5a09bb485844dbe67bb0f3c20267602526e26
Homepage: https://cran.r-project.org/package=safeframe
Description: CRAN Package 'safeframe' (Generic Data Tagging and Validation Tool)
 Provides tools to help tag and validate data according to user-specified
 rules. The 'safeframe' class adds variable level attributes to 'data.frame'
 columns. Once tagged, these variables can be seamlessly used in downstream
 analyses, making data pipelines clearer, more robust, and more reliable.

Package: r-cran-safejoin
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-safejoin_0.2.0-1.ca2004.1_all.deb
Size: 19748
MD5sum: a71bdc192fc8ea5b9f9055e5d0fbe617
SHA1: 11644ff1ef44e97efee5e0daabb58991a801652d
SHA256: 8855af689259932d4416f4e2afb35e3006fb1f287ef26d839cd7caf84bdd6ca4
SHA512: 5777377adaf109b072d1b98592730af94665b15c779a29f753b237ca40e15f17b7cd87f313c4497715a3b66962d7883bbde5556d1c11a962325de4ceeb375a8c
Homepage: https://cran.r-project.org/package=safejoin
Description: CRAN Package 'safejoin' (Perform "Safe" Table Joins)
 The goal of 'safejoin' is to guarantee that when performing joins extra rows
 are not added to your data. 'safejoin' provides a wrapper around
 'dplyr::left_join' that will raise an error when extra rows are unexpectedly
 added to your data. This can be useful when working with data where you
 expect there to be a many to one relationship but you are not certain the
 relationship holds.

Package: r-cran-safer
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sodium, r-cran-base64enc, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-safer_0.2.1-1.ca2004.1_all.deb
Size: 48700
MD5sum: 0904cb17b721daad386d3a6b4cf75f47
SHA1: 587fed9f9cc3b3dc85a68012e93bd5edeb8574a7
SHA256: 4e8f27a24d6821762c492a182ee22e3e4ef75adb89b09611ee426282cd8cbf1a
SHA512: 82a6bbe92d28acff0eb6e5ddc2a8080da66b61f6a6e3c7f8d08cc5d9cba6d17fe9deb1bb66e6dd918c4254a713a6ba3cb36594ff4e590fa45057d8a10a241e82
Homepage: https://cran.r-project.org/package=safer
Description: CRAN Package 'safer' (Encrypt and Decrypt Strings, R Objects and Files)
 A consistent interface to encrypt and decrypt strings, R objects and files
 using symmetric and asymmetric key encryption.

Package: r-cran-safestats
Architecture: all
Version: 0.8.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2065
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-hypergeo, r-cran-survival, r-cran-biasedurn, r-cran-boot, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-safestats_0.8.7-1.ca2004.1_all.deb
Size: 1355520
MD5sum: b71d4e1862c5ae199a0a56df7444c251
SHA1: 31286b2333b07293ff3ab61b0771401f58330f4a
SHA256: 8203fe84a010ee644717578a7133ce668be71d3230b0cdb2328d5f173834523d
SHA512: 2d85fb67a9178efbbafff7a634efafaa930bc53da7bbaaa22ed8498f33886512ccd851a05faf5b298dad415f83d1a6de62021f3cb8774488a9fd46de95b638a0
Homepage: https://cran.r-project.org/package=safestats
Description: CRAN Package 'safestats' (Safe Anytime-Valid Inference)
 Functions to design and apply tests that are anytime valid. The functions
 can be used to design hypothesis tests in the prospective/randomised control
 trial setting or in the observational/retrospective setting. The resulting
 tests remain valid under both optional stopping and optional continuation.
 The current version includes safe t-tests and safe tests of two proportions.
 For details on the theory of safe tests, see Grunwald, de Heide and Koolen
 (2019) "Safe Testing" <arXiv:1906.07801>, for details on safe logrank tests
 see ter Schure, Perez-Ortiz, Ly and Grunwald (2020) "The Safe Logrank Test:
 Error Control under Continuous Monitoring with Unlimited Horizon"
 <arXiv:2011.06931v3> and Turner, Ly and Grunwald (2021) "Safe Tests and
 Always-Valid Confidence Intervals for contingency tables and beyond"
 <arXiv:2106.02693> for details on safe contingency table tests.

Package: r-cran-safetensors
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-jsonlite, r-cran-r6, r-cran-rlang
Suggests: r-cran-testthat, r-cran-torch
Filename: pool/dists/focal/main/r-cran-safetensors_0.1.2-1.ca2004.1_all.deb
Size: 61860
MD5sum: c97454e15e836d1edfb5335f4d132820
SHA1: 7a76126bc88fe36c2cba783f0f04bbad64fb1179
SHA256: fec9275dd08531b53384b2e67aa337f387f5099ab4fda28c764b18dbdd4a6df1
SHA512: ec273e6ade4e5133fae3106d637d44744759fc3e1ad864dbaf0af143f6a075b856000e9718edb544ec4afa96f023f078c100c970af706b0c34346af936539d00
Homepage: https://cran.r-project.org/package=safetensors
Description: CRAN Package 'safetensors' (Safetensors File Format)
 A file format for storing tensors that is secure (doesn't allow for code
 execution), fast and simple to implement. 'safetensors' also enables cross
 language and cross frameworks compatibility making it an ideal format for
 storing machine learning model weights.

Package: r-cran-safetycharts
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-huxtable, r-cran-jsonlite, r-cran-pharmartf, r-cran-plotly, r-cran-purrr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-shiny, r-cran-stringr, r-cran-tendril, r-cran-tplyr
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-safetydata, r-cran-safetygraphics, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-safetycharts_0.3.0-1.ca2004.1_all.deb
Size: 490528
MD5sum: 570706989b41ead7c14bc2055020bc62
SHA1: 39f09df42d1d2387c2b1da51773e1131b8705467
SHA256: ccba9e5e6c04c8dedad72e4b02e29e9e57c3e80b7c0448c555f683a4b627a8e4
SHA512: 753254774819ee0ed23cbfba3275219deda15ab7e1bf440ad208d5792e8c895f4c855b7561ec37a4dbbe62b5bf0f6e1282a369e4d4923d7d36fa0350f7c8777a
Homepage: https://cran.r-project.org/package=safetyCharts
Description: CRAN Package 'safetyCharts' (Charts for Monitoring Clinical Trial Safety)
 Contains chart code for monitoring clinical trial safety. Charts can be used
 as standalone output, but are also designed for use with the
 'safetyGraphics' package, which makes it easy to load data and customize the
 charts using an interactive web-based interface created with Shiny.

Package: r-cran-safetydata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3673
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-safetydata_1.0.0-1.ca2004.1_all.deb
Size: 3240180
MD5sum: b954680469cf44c2d0b830e8d6a2c1fb
SHA1: f675cf6852a35c64566d2d3754a780c69f570391
SHA256: b0d173f40b23027f6977dd5f62cd310b13b9c6bac6c703d214987aa62c663a06
SHA512: a26cb57d97d40d5480a22ae90bfcab4e63b6e1d7ac63b064530280bf75586f0964f588e3ea3d7bd2508ea7138284f2894cba8bc73e070d3dd1fd0308f9f875ab
Homepage: https://cran.r-project.org/package=safetyData
Description: CRAN Package 'safetyData' (Clinical Trial Data)
 Example clinical trial data sets formatted for easy use in R.

Package: r-cran-safetygraphics
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4885
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-datamods, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rclipboard, r-cran-rlang, r-cran-safetydata, r-cran-safetycharts, r-cran-shiny, r-cran-shinyjs, r-cran-sortable, r-cran-stringr, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-shinydashboard, r-cran-shinytest, r-cran-testthat, r-cran-usethis, r-cran-listviewer, r-cran-shinybusy, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-safetygraphics_2.1.1-1.ca2004.1_all.deb
Size: 3100140
MD5sum: 2631c7a77246c18a61ff135b6ad5b4a4
SHA1: 3574f356307fb40ec7c7a49e2ee68996a2c0df56
SHA256: 8ef57965a72655db5fc2d7a0e18abd84927d5b10a695bbbea9ffd01dac941c45
SHA512: 34e5215ea1e3faed949a0d3651bedd6fd64e87548f23acfcaf53572b61bdcb28050e1b16fb2a59ec5b386362c13c4ba80213f3ba8e4222fdcfee42ac5415cd06
Homepage: https://cran.r-project.org/package=safetyGraphics
Description: CRAN Package 'safetyGraphics' (Interactive Graphics for Monitoring Clinical Trial Safety)
 A framework for evaluation of clinical trial safety. Users can interactively
 explore their data using the included 'Shiny' application.

Package: r-cran-safevote
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 562
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formattable, r-cran-knitr, r-cran-fields, r-cran-ggplot2, r-cran-data.table, r-cran-stringr, r-cran-forcats, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-vote, r-cran-stv
Filename: pool/dists/focal/main/r-cran-safevote_1.0.1-1.ca2004.1_all.deb
Size: 502328
MD5sum: 5a74766b8ff662a76b5c6ff7338114cb
SHA1: d272e0410461755829a2a77e533b545476c4f531
SHA256: 3df69f3b64ab724cf78730173fbcdd00fc0d52aefd36e6880a462589b6fcb432
SHA512: 0253244e0b24a3aca6322346c798dbf49ef456b819bc4b8fa2a625931509e9035150d61cf095b8a6fdc8f4544794ba573659547c0cede930c3634937298ef9c8
Homepage: https://cran.r-project.org/package=SafeVote
Description: CRAN Package 'SafeVote' (Election Vote Counting with Safety Features)
 Fork of 'vote_2.3-2', Raftery et al. (2021) <DOI:10.32614/RJ-2021-086>, with
 additional support for stochastic experimentation.

Package: r-cran-sager
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-prettydoc, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-learnr, r-cran-spelling, r-cran-lattice, r-cran-spatstat.data, r-cran-matrix, r-cran-mgcv, r-cran-pmcmrplus, r-cran-devtools, r-cran-extrafont, r-cran-desctools, r-cran-ggally, r-cran-vgam, r-cran-car, r-cran-dplyr, r-cran-tibble, r-cran-ggiraphextra, r-cran-scales, r-cran-spatstat, r-cran-vcd, r-cran-factominer, r-cran-cluster, r-cran-caret, r-cran-corrplot, r-cran-actuar
Filename: pool/dists/focal/main/r-cran-sager_0.6.1-1.ca2004.1_all.deb
Size: 488680
MD5sum: 053c3168b501c9286b475a5f7f4771bb
SHA1: 423f137bd253be2dadbcaf684f0d20aeaac717cb
SHA256: 94357f0352f34756a99703eb4b9a8ea2b97c5b529b8864121626743e81529782
SHA512: 0ca1e2d41d8c440032b7707e46ad78e4685d9acd649fa254b53e91e022af0390553e26c8a2dc7647c45031c9cc1365bf0e79544a8fa42d7c2903624f14452247
Homepage: https://cran.r-project.org/package=sageR
Description: CRAN Package 'sageR' (Applied Statistics for Economics and Management with R)
 Datasets and functions for the book "Statistiques pour l’économie et la
 gestion", "Théorie et applications en entreprise", F. Bertrand, Ch.
 Derquenne, G. Dufrénot, F. Jawadi and M. Maumy, C. Borsenberger editor,
 (2021, ISBN:9782807319448, De Boeck Supérieur, Louvain-la-Neuve).  The first
 chapter of the book is dedicated to an introduction to statistics and their
 world.  The second chapter deals with univariate exploratory statistics and
 graphics.  The third chapter deals with bivariate and multivariate
 exploratory statistics and graphics.  The fourth chapter is dedicated to
 data exploration with Principal Component Analysis.  The fifth chapter is
 dedicated to data exploration with Correspondance Analysis.  The sixth
 chapter is dedicated to data exploration with Multiple Correspondance
 Analysis.  The seventh chapter is dedicated to data exploration with
 automatic clustering.  The eighth chapter is dedicated to an introduction to
 probability theory and classical probability distributions.  The ninth
 chapter is dedicated to an estimation theory, one-sample and two-sample
 tests.  The tenth chapter is dedicated to an Gaussian linear model.  The
 eleventh chapter is dedicated to an introduction to time series.  The
 twelfth chapter is dedicated to an introduction to probit and logit models.
 Various example datasets are shipped with the package as well as some new
 functions.

Package: r-cran-sagm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastmatrix, r-cran-gigrvg, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sagm_1.0.0-1.ca2004.1_all.deb
Size: 35996
MD5sum: 00f901a652cbfb32a248ea6e3d460beb
SHA1: ac862c5c30cef9997ef32ea74933c008a26258d7
SHA256: 2c662c1f9dd1057244803f4f67ecfa2981d1993a3c2543843a1e2906c7cd44c3
SHA512: cff8eb92614f188b4428a5e7f40bcb83490dc9f2ccc256704fdff6c79eb743857727f53d2d0082d8cd2b0c369a32748825129457a508278402c0619cb619b4a0
Homepage: https://cran.r-project.org/package=SAGM
Description: CRAN Package 'SAGM' (Spatial Autoregressive Graphical Model)
 Implements the methodological developments found in Hermes, van Heerwaarden,
 and Behrouzi (2023) <doi:10.48550/arXiv.2308.04325>, and allows for the
 statistical modeling of asymmetric between-location effects, as well as
 within-location effects using spatial autoregressive graphical models. The
 package allows for the generation of spatial weight matrices to capture
 asymmetric effects for strip-type intercropping designs, although it can
 handle any type of spatial data commonly found in other sciences.

Package: r-cran-sahpm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sahpm_1.0.1-1.ca2004.1_all.deb
Size: 23572
MD5sum: 1e08ed39597d9725ec97d072e67184a5
SHA1: 8b221bdd1364c9107b7375add19ea53bb0bdc3b6
SHA256: 40d1f86752c30596f9b0529a8caaca7ab12a93d6f2d24d7b8208d46c2c7fa2aa
SHA512: a4d829bef6a56c573ca0d3b4f69a0e7df23bcd6a6b577289a08f653afef024d9552fd524542e8c7e6bd0c3746fd76ceed15776e048ab133633772b1b6e955e30
Homepage: https://cran.r-project.org/package=sahpm
Description: CRAN Package 'sahpm' (Variable Selection using Simulated Annealing)
 Highest posterior model is widely accepted as a good model among available
 models. In terms of variable selection highest posterior model is often the
 true model. Our stochastic search process SAHPM based on simulated annealing
 maximization method tries to find the highest posterior model by maximizing
 the model space with respect to the posterior probabilities of the models.
 This package currently contains the SAHPM method only for linear models. The
 codes for GLM will be added in future.

Package: r-cran-saic
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-mass, r-cran-glmnet, r-cran-glasso
Filename: pool/dists/focal/main/r-cran-saic_1.0.1-1.ca2004.1_all.deb
Size: 19228
MD5sum: 432320e1bcac9dd5509c3e93cb375b5f
SHA1: 0eaf2b59161890a1fc1e7ac36b6e17a26b1f173c
SHA256: 04e2d3725642346c5ce93aa222ddef5d6326020ec54c5d6b1d4b70617333ab04
SHA512: e5e09f1a643f90fdd9b593e857084a69863fcf0d601f786b346a4ebd1ed015078487666ec403894de4b2ddd1847dc11406417cd731d33188e221f53d2415db40
Homepage: https://cran.r-project.org/package=sAIC
Description: CRAN Package 'sAIC' (Akaike Information Criterion for Sparse Estimation)
 Computes the Akaike information criterion for the generalized linear models
 (logistic regression, Poisson regression, and Gaussian graphical models)
 estimated by the lasso.

Package: r-cran-sail
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2696
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-gglasso
Suggests: r-cran-grpreg, r-cran-truncnorm, r-cran-foreach, r-cran-doparallel, r-cran-testthat, r-cran-covr, r-cran-vdiffr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sail_0.1.0-1.ca2004.1_all.deb
Size: 965576
MD5sum: 89beddd22db8aef02252381b11910c66
SHA1: b55e82fac3f4d606f431f9088605a7efc4c6d4e8
SHA256: 3454451b900d4b821bf531bc43ec9b7e731d827452f8548bf6e938d12bc7a185
SHA512: bd9b156b7ca008dab50378114cd9afdf5c7895135db90ef8f25667e2fd7441485e9b9f3ee352eac04274011545b829764afcb4bb3e4a10a176fd239969b74ef0
Homepage: https://cran.r-project.org/package=sail
Description: CRAN Package 'sail' (Sparse Additive Interaction Learning)
 Sparse additive interaction learning with the strong heredity property,
 i.e., an interaction is selected only if its corresponding main effects are
 also included.  Fits a linear model with non-linear interactions via
 penalized maximum likelihood.  Interactions are limited to a single exposure
 or environment variable. For more information, see the website below and the
 accompanying paper: Bhatnagar et al., "A sparse additive model for
 high-dimensional interactions with an exposure variable", 2019,
 <DOI:10.1101/445304>.

Package: r-cran-sailor
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3622
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sailor_1.2-1.ca2004.1_all.deb
Size: 3671788
MD5sum: cbf808c01bad555f47f5a8fdf3dc19ea
SHA1: 33f3e5c020d87dbc4f1e07dafe62e5748236dd91
SHA256: d4610a62ca864745e4e1b6018ab19e3055f2579ad185ca130eede8a597f69521
SHA512: 056a0a27d894d7a6ba9a4ec9599d220b76916259ae878fdea8bbdb890e276648f7b4406c379ce3c639a36bd868fcbad64aef18c4f54c7ea0581c55c2c074d565
Homepage: https://cran.r-project.org/package=SailoR
Description: CRAN Package 'SailoR' (An Extension of the Taylor Diagram to Two-Dimensional VectorData)
 A new diagram for the verification of vector variables (wind, current, etc)
 generated by multiple models against a set of observations is presented in
 this package. It has been designed as a generalization of the Taylor diagram
 to two dimensional quantities. It is based on the analysis of the
 two-dimensional structure of the mean squared error matrix between model and
 observations. The matrix is divided into the part corresponding to the
 relative rotation and the bias of the empirical orthogonal functions of the
 data. The full set of diagnostics produced by the analysis of the errors
 between model and observational vector datasets comprises the errors in the
 means, the analysis of the total variance of both datasets, the rotation
 matrix corresponding to the principal components in observation and model,
 the angle of rotation of model-derived empirical orthogonal functions
 respect to the ones from observations, the standard deviation of model and
 observations, the root mean squared error between both datasets and the
 squared two-dimensional correlation coefficient. See the output of function
 UVError() in this package.

Package: r-cran-saive
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1870
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-crayon, r-cran-doparallel, r-cran-proxy, r-cran-rlang, r-cran-terra, r-cran-vsurf
Suggests: r-cran-ranger, r-cran-testthat, r-cran-vdiffr, r-cran-whitebox
Filename: pool/dists/focal/main/r-cran-saive_1.0.6-1.ca2004.1_all.deb
Size: 1314104
MD5sum: bf2fd73e8e8a3281033594cf04ef8841
SHA1: 3bac5d40737c1fef595ec880c74db945e36a108f
SHA256: 7c135dbc96b43ad3c271d0068557ef5480e35a95ef1ca52b5a3137566ac1a572
SHA512: 16890f2cfeb77ac88c3dec9504aefb4586b64dbb57cf12c48e5cbc7033acc013d05d298d0fd6d7c8e7c41494a520dd24b9f2ec80b28e484001ba121a6b43bd03
Homepage: https://cran.r-project.org/package=SAiVE
Description: CRAN Package 'SAiVE' (Functions Used for SAiVE Group Research, Collaborations, andPublications)
 Holds functions developed by the University of Ottawa's SAiVE
 (Spatio-temporal Analysis of isotope Variations in the Environment) research
 group with the intention of facilitating the re-use of code, foster good
 code writing practices, and to allow others to benefit from the work done by
 the SAiVE group. Contributions are welcome via the 'GitHub' repository
 <https://github.com/UO-SAiVE/SAiVE> by group members as well as non-members.

Package: r-cran-sakernas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-sakernas_0.1.0-1.ca2004.1_all.deb
Size: 721852
MD5sum: ca217b3ec1265b99eab0940b57b2ee31
SHA1: 47ae87452d7e844e1edae1895005e123c0c76494
SHA256: a30d13ff8ac51d15b5e5636ca2d06d8206935b313d2795e852872c2c4001bb04
SHA512: f0f07941d04065edabccca0b16ba37f7a2b7efee096b3c605204d4874027d49bec8172bec6aeb53d8aafe22044f896a2cc654cc6f86762596a48d07d74242d36
Homepage: https://cran.r-project.org/package=SAKERNAS
Description: CRAN Package 'SAKERNAS' (A National Labor Force Survey of Indonesia)
 Surveys to collect employment data so as to obtain data estimates on the
 number of employed people, the number of unemployed, and other employment
 indicators.

Package: r-cran-salad
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-salad_1.2-1.ca2004.1_all.deb
Size: 445248
MD5sum: 7f3f9b377b2f73c3b696e190d8c1c98f
SHA1: 3da6e6e5a8c9df665d604745fa38d4c09fc12f3e
SHA256: d7bd8cddb959afd86adb3cc23ac58b5cebb9bfa8fd5c2a63484aa44b8c0a52da
SHA512: df4c00defd47bdc3b34c190d45a2dee244d8bfd47ebf232ec9d18d2eed6cae08d39a7f6a68176da8ddadf033b69f1d5875a97c1b43bd5382c040a2db5e5ef135
Homepage: https://cran.r-project.org/package=salad
Description: CRAN Package 'salad' (Simple Automatic Differentiation)
 Handles both vector and matrices, using a flexible S4 class for automatic
 differentiation.  The method used is forward automatic differentiation. Many
 functions and methods have been defined, so that in most cases, functions
 written without automatic differentiation in mind can be used without
 change.

Package: r-cran-salesforcer
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3066
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-vctrs, r-cran-tibble, r-cran-readr, r-cran-lubridate, r-cran-anytime, r-cran-rlang, r-cran-httr, r-cran-curl, r-cran-data.table, r-cran-xml, r-cran-xml2, r-cran-jsonlite, r-cran-rlist, r-cran-zip, r-cran-base64enc, r-cran-mime, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling, r-cran-here, r-cran-microbenchmark, r-cran-ggplot2, r-cran-sessioninfo
Filename: pool/dists/focal/main/r-cran-salesforcer_1.0.2-1.ca2004.1_all.deb
Size: 2371276
MD5sum: 4f3e280d1fdbd2a6c80f4d859691e754
SHA1: 438ca5e9845c2ad3cd1f7f148be49d297a5f9e5f
SHA256: 23b24207558ae0a5a1ef1a104d8c13493fc43938bc1d17d1e8a4b2f51adabd7d
SHA512: 2022e57d7c30f6d1d6ee99aaf3fecdb20721efb905d6aa215366d8e8ebcc980ce3e6e616646cc4c68adb2bb1da25187d85b38b12bae5da21e944e23fcecf1022
Homepage: https://cran.r-project.org/package=salesforcer
Description: CRAN Package 'salesforcer' (An Implementation of 'Salesforce' APIs Using Tidy Principles)
 Functions connecting to the 'Salesforce' Platform APIs (REST, SOAP, Bulk
 1.0, Bulk 2.0, Metadata, Reports and Dashboards)
 <https://trailhead.salesforce.com/content/learn/modules/api_basics/api_basics_overview>.
 "API" is an acronym for "application programming interface". Most all calls
 from these APIs are supported as they use CSV, XML or JSON data that can be
 parsed into R data structures. For more details please see the 'Salesforce'
 API documentation and this package's website
 <https://stevenmmortimer.github.io/salesforcer/> for more information,
 documentation, and examples.

Package: r-cran-saltsampler
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-knitr, r-cran-coda
Filename: pool/dists/focal/main/r-cran-saltsampler_1.1.0-1.ca2004.1_all.deb
Size: 67452
MD5sum: 0141c291cd0421e0148e8ae13609ea68
SHA1: dd485a8d4b3805284dbb370f3295e92272228282
SHA256: b0d1271144c39bb12442038cbcc3edabfed88b60e44398bfba59898f6c1de35a
SHA512: db963bb4c99dfc9e45ed0180cbe383785e952207ac231c1a0fba39cecffe687115ccf71ded2d0a7ac82e0dbee19ddedb2d2220192e22d07c9e8b5e09548d68f2
Homepage: https://cran.r-project.org/package=SALTSampler
Description: CRAN Package 'SALTSampler' (Efficient Sampling on the Simplex)
 The SALTSampler package facilitates Monte Carlo Markov Chain (MCMC) sampling
 of random variables on a simplex. A Self-Adjusting Logit Transform (SALT)
 proposal is used so that sampling is still efficient even in difficult
 cases, such as those in high dimensions or with parameters that differ by
 orders of magnitude. Special care is also taken to maintain accuracy even
 when some coordinates approach 0 or 1 numerically. Diagnostic and graphic
 functions are included in the package, enabling easy assessment of the
 convergence and mixing of the chain within the constrained space.

Package: r-cran-salty
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-purrr, r-cran-stringr
Suggests: r-cran-charlatan, r-cran-testthat, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-salty_0.1.1-1.ca2004.1_all.deb
Size: 88772
MD5sum: 212427f1cb7a0031cd20f404d82f53de
SHA1: 54acd319b4667b532bfa474637c4357c49c880a1
SHA256: e1b0b4d809c677eb3a3105706d1a58a145edac1b24a9cd354bad2bf7b6334053
SHA512: a1ca9878aea3d14d0b4840eff2cad35b6e47bc16712e236bf1662da31e4400678cfad3e853e74721f9f410f1517221cdc23ed4e216226c89e18eb62bd2f0d1cb
Homepage: https://cran.r-project.org/package=salty
Description: CRAN Package 'salty' (Turn Clean Data into Messy Data)
 Take real or simulated data and salt it with errors commonly found in the
 wild, such as pseudo-OCR errors, Unicode problems, numeric fields with
 nonsensical punctuation, bad dates, etc.

Package: r-cran-samadb
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-rmysql, r-cran-writexl, r-cran-data.table, r-cran-collapse
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-samadb_0.3.0-1.ca2004.1_all.deb
Size: 67776
MD5sum: c3399e5f08bd2fe01124baf786926361
SHA1: 8593939a9b9ecc33b2bfa3944d66b63e7f59ce7c
SHA256: c017ce2b92fc71ff85a3ef9767dc61160d083c8edb1c70dfeade05c7d1384288
SHA512: ea276d407644d5a652aee42c5142537e8767106dbede601840f5b2e1c4b871522bd3eaf5f1a1488f991d8f047dd6fe9a2cc03f653c0cbdfed761a725755a57b2
Homepage: https://cran.r-project.org/package=samadb
Description: CRAN Package 'samadb' (South Africa Macroeconomic Database API)
 An R API providing access to a relational database with macroeconomic time
 series data for South Africa, obtained from the South African Reserve Bank
 (SARB) and Statistics South Africa (STATSSA), and updated on a weekly basis
 via the EconData <https://www.econdata.co.za/> platform and automated
 scraping of the SARB and STATSSA websites.  The database is maintained at
 the Department of Economics at Stellenbosch University.

Package: r-cran-samba
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimx, r-cran-survey
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-mass
Filename: pool/dists/focal/main/r-cran-samba_0.9.0-1.ca2004.1_all.deb
Size: 223120
MD5sum: a0b8e65473ac2108974fa70f32131d8b
SHA1: 04fce3eb0ed6c9b82525a174e5b4720d560314c6
SHA256: 77659490cd2d15a35e561e5acf2151be62781f9713bc9bcd4d6f49b66e5fa779
SHA512: f9d4d7889656c5fe0b125a17f6c386c6525578b875a3347731ecf7abf0d812ff6f0c9262cb34ad77d06f27252d12e2afe3a6130612d5d0eaee73e6523b3c9138
Homepage: https://cran.r-project.org/package=SAMBA
Description: CRAN Package 'SAMBA' (Selection and Misclassification Bias Adjustment for LogisticRegression Models)
 Health research using data from electronic health records (EHR) has gained
 popularity, but misclassification of EHR-derived disease status and lack of
 representativeness of the study sample can result in substantial bias in
 effect estimates and can impact power and type I error for association
 tests. Here, the assumed target of inference is the relationship between
 binary disease status and predictors modeled using a logistic regression
 model. 'SAMBA' implements several methods for obtaining bias-corrected point
 estimates along with valid standard errors as proposed in Beesley and
 Mukherjee (2020) <doi:10.1101/2019.12.26.19015859>, currently under review.

Package: r-cran-sambia
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-dplyr, r-cran-smotefamily, r-cran-e1071, r-cran-ranger, r-cran-proc, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-sambia_0.1.0-1.ca2004.1_all.deb
Size: 59172
MD5sum: 524a2b5a4c1d8c279126f2a910e73ffc
SHA1: f9fa099d13059955d13182a03ad47081f9074afb
SHA256: 3d2fc0de0375325095413dbfa3d1e461fbe95576634dea6a39766841a094c643
SHA512: 8f3bdaa93372720a7a8d280b90917bf649c55870faae776761d0d220eba2c9f358c52311bda7cb026687e1e75180f03cfacdba3dc152fc50f7f7557dea9c4f0c
Homepage: https://cran.r-project.org/package=sambia
Description: CRAN Package 'sambia' (A Collection of Techniques Correcting for Sample Selection Bias)
 A collection of various techniques correcting statistical models for sample
 selection bias is provided. In particular, the resampling-based methods
 "stochastic inverse-probability oversampling" and "parametric
 inverse-probability bagging" are placed at the disposal which generate
 synthetic observations for correcting classifiers for biased samples
 resulting from stratified random sampling. For further information, see the
 article Krautenbacher, Theis, and Fuchs (2017) <doi:10.1155/2017/7847531>.
 The methods may be used for further purposes where weighting and generation
 of new observations is needed.

Package: r-cran-same
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-rjags, r-cran-coda, r-cran-extradistr, r-cran-survival, r-cran-ggplot2, r-cran-expint
Suggests: r-cran-testthat, r-cran-mockery, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-same_0.1.0-1.ca2004.1_all.deb
Size: 86264
MD5sum: 1ced9cd3245260e1265b6575c595b1d0
SHA1: aa1567670bbb3d5ddcbf794bb6bf157374f52bcb
SHA256: 56a9dfc0a0db03b286aa08992fee3b10766f28c3ba58d0e49ae6abdd66283921
SHA512: 30611ac5d75bc6f1fcdc512b4f084a713410f8c69cc88dc25810ce1b6d48e714f1d720eb66ad2c38b9a295be548a091bb62f9cf625e970d40b41ca0f2dad358e
Homepage: https://cran.r-project.org/package=SAME
Description: CRAN Package 'SAME' (Seamless Adaptive Multi-Arm Multi-Stage Enrichment)
 Design a Bayesian seamless multi-arm biomarker-enriched phase II/III design
 with the survival endpoint with allowing sample size re-estimation.  James M
 S Wason, Jean E Abraham, Richard D Baird, Ioannis Gournaris, Anne-Laure
 Vallier, James D Brenton, Helena M Earl, Adrian P Mander (2015)
 <doi:10.1038/bjc.2015.278>.  Guosheng Yin, Nan Chen, J. Jack Lee (2018)
 <doi:10.1007/s12561-017-9199-7>.  Ying Yuan, Beibei Guo, Mark Munsell, Karen
 Lu, Amir Jazaeri (2016) <doi:10.1002/sim.6971>.

Package: r-cran-samesies
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-purrr, r-cran-scales, r-cran-stringdist
Suggests: r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-samesies_0.1.0-1.ca2004.1_all.deb
Size: 417900
MD5sum: 6961a44e39cde016da62a8904d1995e7
SHA1: f3bebd99cfe144aae2f3c6b6301b87e8f36dbdf8
SHA256: 63619270521c89a01815cd4088c5f7c245b049e0f7ee2ca14b9f5dd1b32623e2
SHA512: 8e3bc510263714241be0c4ffbc2ed35f5172d6832323c61c4a38b52a821cac81d7188d34dbc57534edc848cad749d411a7563c13c597c2958041263a306b9568
Homepage: https://cran.r-project.org/package=samesies
Description: CRAN Package 'samesies' (Compare Similarity Across Text, Factors, or Numbers)
 Compare lists of texts, factors, or numerical values to measure their
 similarity. The motivating use case is evaluating the similarity of large
 language model responses across models, providers, or prompts.  Approximate
 string matching is implemented using 'stringdist'.

Package: r-cran-sampbias
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-viridis, r-cran-terra, r-cran-sf, r-cran-rnaturalearth
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sampbias_2.0.0-1.ca2004.1_all.deb
Size: 687036
MD5sum: 1e19372908b2a3fdb883fa25b6a52187
SHA1: 30cf3002c0abbdf4673b45df581d70b2ec7a6551
SHA256: 94f61f703e93b507467a90f0a5c511883548ac7697cca07f81ba94dd13e365dc
SHA512: 832fc234428d4c67de53cbd7938e1b3d46c272e1a91c0a0b2742bd7314a81080246ebee377dd7d317c8f420a5539f4829a20f4ad8fb8a08536f2c69d6fe731c7
Homepage: https://cran.r-project.org/package=sampbias
Description: CRAN Package 'sampbias' (Evaluating Geographic Sampling Bias in Biological Collections)
 Evaluating the biasing impact of geographic features such as airports,
 cities, roads, rivers in datasets of coordinates based biological collection
 datasets, by Bayesian estimation of the parameters of a Poisson process.
 Enables also spatial visualization of sampling bias and includes a set of
 convenience functions for publication level plotting. Also available as
 'shiny' app. The reference for the methodology is: Zizka et al. (2020)
 <doi:10.1111/ecog.05102>.

Package: r-cran-sampcompr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 586
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-hmisc, r-cran-lmtest, r-cran-magrittr, r-cran-psych, r-cran-purrr, r-cran-readr, r-cran-reshape2, r-cran-sandwich, r-cran-survey, r-cran-svrep, r-cran-tibble, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-jtools, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-sampcompr_0.3.0-1.ca2004.1_all.deb
Size: 551400
MD5sum: 420dbc4c060ff6f0e7a533ddf7361278
SHA1: cdc8e78f56a5a6990889da08cc3782fecee1c81e
SHA256: d5984eec6e5ce2a6a400f1c664f6229fe3fe41100260e3d87c39d995215f00f2
SHA512: 9d0f5a8df9f38b1da08fb18b1d3de6e65fd498e2fbbf9b05701c3c46f63f7028e2ab1961c2f0fe4b5a36e1ae736d2b0fb882fa76948a017873ea7fb2eb5023ef
Homepage: https://cran.r-project.org/package=sampcompR
Description: CRAN Package 'sampcompR' (Comparing and Visualizing Differences Between Surveys)
 Easily analyze and visualize differences between samples (e.g., benchmark
 comparisons, nonresponse comparisons in surveys) on three levels. The
 comparisons can be univariate, bivariate or multivariate. On univariate
 level the variables of interest of a survey and a comparison survey (i.e.
 benchmark) are compared, by calculating one of several difference measures
 (e.g., relative difference in mean), and an average difference between the
 surveys. On bivariate level a function can calculate significant differences
 in correlations for the surveys. And on multivariate levels a function can
 calculate significant differences in model coefficients between the surveys
 of comparison. All of those differences can be easily plotted and outputted
 as a table. For more detailed information on the methods and example use see
 Rohr, B., Silber, H., & Felderer, B. (2024). Comparing the Accuracy of
 Univariate, Bivariate, and Multivariate Estimates across Probability and
 Nonprobability Surveys with Population Benchmarks. Sociological Methodology
 <doi:10.1177/00811750241280963>.

Package: r-cran-sample.size
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sample.size_1.0-1.ca2004.1_all.deb
Size: 17720
MD5sum: c5dea59f1500fe5e38c835d5e96042fa
SHA1: 659ca7fa5a85d7587c59a84c18fd34b4b8ac110e
SHA256: c13605d18f773ee2dd10b839db382d20013c7597804686cb564e0822568ee7cc
SHA512: e7a1204ffb998aa06517fe8158f450076b1ae2406c968945a99d5fb888671a1b981fe19b848952347b66bc1559e465137b8028e6573dba64dd898ef2b30b30f2
Homepage: https://cran.r-project.org/package=Sample.Size
Description: CRAN Package 'Sample.Size' (Sample size calculation)
 Computes the required sample size using the optimal designs with multiple
 constraints proposed in Mayo et al.(2010). This optimal method is designed
 for two-arm, randomized phase II clinical trials, and the required sample
 size can be optimized either using fixed or flexible randomization
 allocation ratios.

Package: r-cran-sampledatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sampledatasets_0.1.0-1.ca2004.1_all.deb
Size: 88340
MD5sum: 308cb30b6bca056e88b4566dba6487b9
SHA1: a0f5ad028e59b45ba12fc6eee3e19da0f52feb63
SHA256: 1073039a970d3b35ada104ab6a5149a14c41f9c9b277a78b5495e45307186e60
SHA512: 952fee92ff534469cbbb05d0950a37f1e186861fea8a1c5763f62c5b3c0d9815c4d0ee824537e258a7d2de37c3de03b4e3383331df660eb7abdd04561c2eb2e2
Homepage: https://cran.r-project.org/package=sampledatasets
Description: CRAN Package 'sampledatasets' (A Collection of Sample Datasets)
 Provides a collection of sample datasets on various fields such as
 automotive performance and safety data to historical demographics and
 socioeconomic indicators, as well as recreational data.  It serves as a
 resource for researchers and analysts seeking to perform analyses and derive
 insights from classic data sets in R.

Package: r-cran-sampler
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-reshape, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-sampler_0.2.4-1.ca2004.1_all.deb
Size: 275608
MD5sum: 57135d8b7925cd393e8b7a173118c426
SHA1: bc8f935e2edffb1a6d6cf4b7d35a9547909eea1b
SHA256: 34a4e7b7ba7b190990acae775103b4fd01cfd0c8a3e6b14cb3db6ab4f8e5779e
SHA512: e766542a559e8e32fd74b90b60cc7ec3089e130b0eec07e31d6bda4634fcb34179b736570cb672a8df8260b068fe00717a170ff88aff6b40ad09b01f54a138cb
Homepage: https://cran.r-project.org/package=sampler
Description: CRAN Package 'sampler' (Sample Design, Drawing & Data Analysis Using Data Frames)
 Determine sample sizes, draw samples, and conduct data analysis using data
 frames. It specifically enables you to determine simple random sample sizes,
 stratified sample sizes, and complex stratified sample sizes using a
 secondary variable such as population; draw simple random samples and
 stratified random samples from sampling data frames; determine which
 observations are missing from a random sample, missing by strata, duplicated
 within a dataset; and perform data analysis, including proportions, margins
 of error and upper and lower bounds for simple, stratified and cluster
 sample designs.

Package: r-cran-sampleselection
Architecture: all
Version: 1.2-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-misctools, r-cran-systemfit, r-cran-formula, r-cran-vgam, r-cran-mvtnorm
Suggests: r-cran-lmtest, r-cran-ecdat
Filename: pool/dists/focal/main/r-cran-sampleselection_1.2-12-1.ca2004.1_all.deb
Size: 2073336
MD5sum: f31295bfe1b197dc50d0ec30b4abb3a8
SHA1: db25191a6673619a526a902110352345b808b1a1
SHA256: 6e4c5d89edef6859a6df64c49d57166ef3f5ad68b26e549551a031de9f0a06d5
SHA512: 136d1c054b3403dfa608ebc1d933b75963f7d7c6fdae7a4191afd980db89b126eaa8484e0b6a44cf00f9ad1518f69bd7e77c3d070527673acbbbd22091c2aab8
Homepage: https://cran.r-project.org/package=sampleSelection
Description: CRAN Package 'sampleSelection' (Sample Selection Models)
 Two-step and maximum likelihood estimation of Heckman-type sample selection
 models: standard sample selection models (Tobit-2), endogenous switching
 regression models (Tobit-5), sample selection models with binary dependent
 outcome variable, interval regression with sample selection (only ML
 estimation), and endogenous treatment effects models.  These methods are
 described in the three vignettes that are included in this package and in
 econometric textbooks such as Greene (2011, Econometric Analysis, 7th
 edition, Pearson).

Package: r-cran-samplesize4clinicaltrials
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-samplesize4clinicaltrials_0.2.3-1.ca2004.1_all.deb
Size: 17536
MD5sum: af8db18b9c6294b043807d922861b326
SHA1: 7145789ca24a755db17172979b7e34c9bbfe01d0
SHA256: a494e27c5cf88aa687c3d87bc6f17362718254648b71f62d6cc1ca40e4f03195
SHA512: a9ae9a35825a629b64b98c34824c01c12ee6d34ac433ea066ba664eefdb7f25bb5f007d4acd092480d1754dd21a1dfcfb43c080b8b66ac717c21daf657c9788a
Homepage: https://cran.r-project.org/package=SampleSize4ClinicalTrials
Description: CRAN Package 'SampleSize4ClinicalTrials' (Sample Size Calculation for the Comparison of Means orProportions in Phase III Clinical Trials)
 There are four categories of Phase III clinical trials according to
 different research goals, including (1) Testing for equality, (2)
 Superiority trial, (3) Non-inferiority trial, and (4) Equivalence trial.
 This package aims to help researchers to calculate sample size when
 comparing means or proportions in Phase III clinical trials with different
 research goals.

Package: r-cran-samplesize4surveys
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2955
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-teachingsampling, r-cran-timedate, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-samplesize4surveys_4.1.1-1.ca2004.1_all.deb
Size: 1799712
MD5sum: 92925b3d1e73c85243a07079d3831b09
SHA1: 317b5fd0aaccacec4ea3341326693229b45bcb0a
SHA256: 0314c909d5d470dc1570328baf1dbbf40e5e84e869ba27e4259db29a4c0064a5
SHA512: cf0d87ec73dd2209a42f3da8bfc82b70bf43c7db53e3cb35fa057427d9f236d5f619381561c3e4b168024fc4ebfd731b49cf96e8fb863551a2e872f55549406e
Homepage: https://cran.r-project.org/package=samplesize4surveys
Description: CRAN Package 'samplesize4surveys' (Sample Size Calculations for Complex Surveys)
 Computes the required sample size for estimation of totals, means and
 proportions under complex sampling designs.

Package: r-cran-samplesize
Architecture: all
Version: 0.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-samplesize_0.2-4-1.ca2004.1_all.deb
Size: 23112
MD5sum: 8ce227e8bc374e043effd8e1e3f61e87
SHA1: 0ccd885093a49a3c05fb44981ea37d141642a761
SHA256: fcf86f1e8d649f01bfcb0909005f7df4ca495e9128bd2a3ba8426d0d6f044035
SHA512: 614ed87cb910e5aef89c3afc523ee8a230fa08a9e8bc6a9072c396b6aad000056574a8d12e3440e277bd27405041de4faf6205d85019b0e534d29bb75d2ce880
Homepage: https://cran.r-project.org/package=samplesize
Description: CRAN Package 'samplesize' (Sample Size Calculation for Various t-Tests and Wilcoxon-Test)
 Computes sample size for Student's t-test and for the Wilcoxon-Mann-Whitney
 test for categorical data. The t-test function allows paired and unpaired
 (balanced / unbalanced) designs as well as homogeneous and heterogeneous
 variances. The Wilcoxon function allows for ties.

Package: r-cran-samplesizecmh
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-desctools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-samplesizecmh_0.0.3-1.ca2004.1_all.deb
Size: 72192
MD5sum: e22f87809e30992bb4501cb617a3369e
SHA1: 3ad1f9a883c656bed2834d87a5d74a0bc7c9f4d3
SHA256: 8983759e18ed2ddff613bd76c51149f9a9636aaaa2bc60c1453f281d7f265230
SHA512: 5cd24f59531b8b651dde464d902725b2e9b4ab812469a43723faed9e924472a0edd6d31c87bf756b659c395a7735eac5b4447b933f872fe404ce4cd7266cb7b9
Homepage: https://cran.r-project.org/package=samplesizeCMH
Description: CRAN Package 'samplesizeCMH' (Power and Sample Size Calculation for theCochran-Mantel-Haenszel Test)
 Calculates the power and sample size for Cochran-Mantel-Haenszel tests.
 There are also several helper functions for working with probability, odds,
 relative risk, and odds ratio values.

Package: r-cran-samplesizediagnostics
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-samplesizediagnostics_0.1.0-1.ca2004.1_all.deb
Size: 15932
MD5sum: 564c6bd6f44666ff9342338d73657dd1
SHA1: 1f127308206b610b97eefd45e8e3c0f4264c018e
SHA256: 2c2e766ec6057c8c7eea3223a17c6fde74636321c441cab6384131b26712bdcb
SHA512: a16d22dfce792efa8812b74aebd56cdc287b5842d53ea43bc1f04c5d340094dc2863bc3ea63aaf33262f6bcda33f22509b21e21bf98d35407da64ddec06405e6
Homepage: https://cran.r-project.org/package=SampleSizeDiagnostics
Description: CRAN Package 'SampleSizeDiagnostics' (Choosing Sample Size for Evaluating a Diagnostic Test)
 Calculates the sample size needed for evaluating a diagnostic test based on
 sensitivity, specificity, prevalence, and desired precision. Based on
 Buderer (1996) <doi:10.1111/j.1553-2712.1996.tb03538.x>.

Package: r-cran-samplesizeestimator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-samplesizeestimator_1.0.0-1.ca2004.1_all.deb
Size: 66304
MD5sum: 0e638bf17be0b2057a48e40406109e54
SHA1: 54fbd15fd520c8080545321b68a2b2671d762b03
SHA256: a4a67fe37d2b34dc8ac101254e2b9e6c04a8c5c11829bfbf1a7d41450a6eacef
SHA512: 8feec5b26b65b3ff43c8063cd8d75a8f437f67ea6287febf5fcb2c3daa9aa1e9b0b0f4d5488fa1d61f1603be0b19007484a29c1fe2b67af19451abdd3bd02a83
Homepage: https://cran.r-project.org/package=samplesizeestimator
Description: CRAN Package 'samplesizeestimator' (Calculate Sample Size for Various Scenarios)
 Calculates sample size for various scenarios, such as sample size to
 estimate population proportion with stated absolute or relative precision,
 testing a single proportion with a reference value, to estimate the
 population mean with stated absolute or relative precision, testing single
 mean with a reference value and sample size for comparing two unpaired or
 independent means, comparing two paired means, the sample size For case
 control studies, estimating the odds ratio with stated precision, testing
 the odds ratio with a reference value, estimating relative risk with stated
 precision, testing relative risk with a reference value, testing a
 correlation coefficient with a specified value, etc.
 <https://www.academia.edu/39511442/Adequacy_of_Sample_Size_in_Health_Studies#:~:text=Determining%20the%20sample%20size%20for,may%20yield%20statistically%20inconclusive%20results.>.

Package: r-cran-samplesizelogisticcasecontrol
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 551
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-samplesizelogisticcasecontrol_2.0.2-1.ca2004.1_all.deb
Size: 512408
MD5sum: 86230f1d61539ffc13ea7a9792c8919e
SHA1: 83be0e4d758150975055aa75c537fbf1faaca21b
SHA256: 451bb177a689250d19139ec046f29f9372a2040003d01f74729188958564cf55
SHA512: a9cbb46e9e84599e3a20262d2e64a479ba0ef8bd1e112f0079b70dbb8974059e6e821c3ae5a88e5f3cf0c1d5033dbb8c0cf0a0a6d38a0ece865679817424dce2
Homepage: https://cran.r-project.org/package=samplesizelogisticcasecontrol
Description: CRAN Package 'samplesizelogisticcasecontrol' (Sample Size and Power Calculations for Case-Control Studies)
 To determine sample size or power for case-control studies to be analyzed
 using logistic regression.

Package: r-cran-samplesizemeans
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-samplesizemeans_1.2.3-1.ca2004.1_all.deb
Size: 189400
MD5sum: 178874fece6c24b52eb84c54522338a9
SHA1: 3ae3e56f76efc9be1bc2baaac38529a58e2ec7f1
SHA256: f0c1d04dd3c0eeea424acca6d94699381bf97207223ad01dd45f9705e81b6198
SHA512: dd58a3d294aff4c6116451336c33c0043fc1ef96efc5f2d6b506065c1166f728e253e4e4aeef5bbcfbb35dd6f5b8e3dacba218364b895aa4c48ca54f70657036
Homepage: https://cran.r-project.org/package=SampleSizeMeans
Description: CRAN Package 'SampleSizeMeans' (Sample Size Calculations for Normal Means)
 Sample size requirements calculation using three different Bayesian criteria
 in the context of designing an experiment to estimate a normal mean or the
 difference between two normal means.  Functions for calculation of required
 sample sizes for the Average Length Criterion, the Average Coverage
 Criterion and the Worst Outcome Criterion in the context of normal means are
 provided.  Functions for both the fully Bayesian and the mixed
 Bayesian/likelihood approaches are provided.  For reference see Joseph L.
 and Bélisle P. (1997) <https://www.jstor.org/stable/2988525>.

Package: r-cran-samplesizeproportions
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-samplesizeproportions_1.1.3-1.ca2004.1_all.deb
Size: 89144
MD5sum: 4fc05a9615b8b9209967edaf6d54dbff
SHA1: f708cd1bc2ffe338ad74b02a739c7e0d8e6a6bde
SHA256: e62139ead8a22c76a4b491df0b6c923f9545e5d1c0f0e7e5e86e9562805459bd
SHA512: dbd5d8c44e863e55378cb5310b8cdc0051e924f1263bd9ac91cfa85986eaf4168cf2962a32b6968aafd8e50c7c3bbaf6b525259f759e5380958fa8e0a795e9ad
Homepage: https://cran.r-project.org/package=SampleSizeProportions
Description: CRAN Package 'SampleSizeProportions' (Calculating Sample Size Requirements when Estimating theDifference Between Two Binomial Proportions)
 Sample size requirements calculation using three different Bayesian criteria
 in the context of designing an experiment to estimate the difference between
 two binomial proportions. Functions for calculation of required sample sizes
 for the Average Length Criterion, the Average Coverage Criterion and the
 Worst Outcome Criterion in the context of binomial observations are
 provided. In all cases, estimation of the difference between two binomial
 proportions is considered. Functions for both the fully Bayesian and the
 mixed Bayesian/likelihood approaches are provided.  For reference see Joseph
 L., du Berger R. and Bélisle P. (1997)
 <doi:10.1002/(sici)1097-0258(19970415)16:7%3C769::aid-sim495%3E3.0.co;2-v>.

Package: r-cran-samplesizesinglearmsurvival
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-samplesizesinglearmsurvival_0.1.0-1.ca2004.1_all.deb
Size: 20544
MD5sum: 4548d05e828e77307355486cd3eab167
SHA1: a840d75ec74c3c6af4d0d3d3931b87a749d01a2b
SHA256: 376467f86e5ecddb4a363ebe99ba44f07a6cd7407e5e2da895a96d500437a4bb
SHA512: 62b2d6beae8e314d8493e939c40855b9ddaa6570e1098aab387234cdf12b0c6274ab602fa3573f82608739affa70b10c321e062e76cb8a13677b6cfaed861236
Homepage: https://cran.r-project.org/package=SampleSizeSingleArmSurvival
Description: CRAN Package 'SampleSizeSingleArmSurvival' (Calculate Sample Size for Single-Arm Survival Studies)
 Provides methods to calculate sample size for single-arm survival studies
 using the arcsine transformation, incorporating uniform accrual and
 exponential survival assumptions. Includes functionality for detailed
 numerical integration and simulation. This method is based on Nagashima et
 al. (2021) <doi:10.1002/pst.2090>.

Package: r-cran-samplevadir
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-splitstackshape
Suggests: r-cran-haven, r-cran-rio
Filename: pool/dists/focal/main/r-cran-samplevadir_1.0.0-1.ca2004.1_all.deb
Size: 2448716
MD5sum: 5a1cd95a6fadaf67229098772026617d
SHA1: b62a5eb59b8339859611062cb2d2022acc6e7fec
SHA256: 4c43e5d558dcb13cace32dd96a82c3822421aa2ee17d11d56c38c0909539952f
SHA512: 458f0c8e41d1b8f552a6c31f2f97544e89db32107bb7c4b83fd7b49eddb5c9e73db9eabc7d94cb326c7d7f053876736e0064117354012d842ca12cf1993e0e67
Homepage: https://cran.r-project.org/package=sampleVADIR
Description: CRAN Package 'sampleVADIR' (Draw Stratified Samples from the VADIR Database)
 Affords researchers the ability to draw stratified samples from the U.S.
 Department of Veteran's Affairs/Department of Defense Identity Repository
 (VADIR) database according to a variety of population characteristics. The
 VADIR database contains information for all veterans who were separated from
 the military after 1980. The central utility of the present package is to
 integrate data cleaning and formatting for the VADIR database with the
 stratification methods described by Mahto (2019)
 <https://CRAN.R-project.org/package=splitstackshape>. Data from VADIR are
 not provided as part of this package.

Package: r-cran-samplezoo
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 318
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-samplezoo_1.2.1-1.ca2004.1_all.deb
Size: 254560
MD5sum: 5e7547682aee4bf66b6ce6874d6a7a7d
SHA1: 770bb905209c7a8ecaae9a81692c50dd618a2397
SHA256: ff67fb5f25fad54e94afa321ac4472c343fa005564b44520eceefecc3f8755d2
SHA512: be51c217e00f818cfa1553425d7436b762efab0b3e524c5f4233bd55335cd1ffc1341e84fb55bd7dfaaafeefb6af651454e84dbf324d14368205d80e10fd381a
Homepage: https://cran.r-project.org/package=samplezoo
Description: CRAN Package 'samplezoo' (Generate Samples with a Variety of Probability Distributions)
 Simplifies the process of generating samples from a variety of probability
 distributions, allowing users to quickly create data frames for
 demonstrations, troubleshooting, or teaching purposes. Data is available in
 multiple sizes—small, medium, and large. For more information, refer to the
 package documentation.

Package: r-cran-samplingbook
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pps, r-cran-sampling, r-cran-survey
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-samplingbook_1.2.4-1.ca2004.1_all.deb
Size: 260696
MD5sum: a4b60e6aa1bcb42fff1e9249fc772d2e
SHA1: 38ca80f67ca845df0806bd3a5e7028e384c81405
SHA256: cf021eaaf3db2beaa8b1fe7078c4f2e0cebe2dacd8f55d8775091cae31e355ca
SHA512: 4c1c077de287ee52588d9b8b0eb41e06451a3c8204b030e12573a3806fbb26ff277b61883a0b8b83f25aa87e49c06b9ba925c98463e762e7f0ae313ff2b76cce
Homepage: https://cran.r-project.org/package=samplingbook
Description: CRAN Package 'samplingbook' (Survey Sampling Procedures)
 Sampling procedures from the book 'Stichproben - Methoden und praktische
 Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).

Package: r-cran-samplingdatacrt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-samplingdatacrt_1.0-1.ca2004.1_all.deb
Size: 348900
MD5sum: d5016c71e732401fef50d1ce5d831e1d
SHA1: 22f84c84ea4865eca0787ebd2b3cfcdf150ccb0f
SHA256: 791ed466b5fc6f8022a1978d2660df3f9a0b80d14fc4e456dd7c359c42119cee
SHA512: 27f5b4e6572194df485d324f0438fd8451480fd1e1bfeb131f67bc0026d17d1c9137acf5a22dace89e720ff362752a9f600433863c72de0fb1a50621c2dac64b
Homepage: https://cran.r-project.org/package=samplingDataCRT
Description: CRAN Package 'samplingDataCRT' (Sampling Data Within Different Study Designs for ClusterRandomized Trials)
 Package provides the possibility to sampling complete datasets from a normal
 distribution to simulate cluster randomized trails for different study
 designs.

Package: r-cran-samplingestimates
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-samplingvarest
Filename: pool/dists/focal/main/r-cran-samplingestimates_0.1-3-1.ca2004.1_all.deb
Size: 40180
MD5sum: b356d9cceded5f1f6610067ca221abe8
SHA1: f4ce47f110b480f3893f2a0550226eec8b8a4e45
SHA256: dc36719716c9953c267fee4eb028bf26715c73fc93f7f6143ca4af7d0e627610
SHA512: b7552a72709deff306278c9e9048b652b7df7723d0979ab1f2c57879e66fe0fa0d5fa4be8b8c378aa01e629925c315b9ba2b87c18c95cf86df06bdf4f18bb5a9
Homepage: https://cran.r-project.org/package=samplingEstimates
Description: CRAN Package 'samplingEstimates' (Sampling Estimates)
 Functions to estimate from survey data. This package is a user-friendly
 wrapper of the samplingVarEst package. It considers that the user is more
 familiar with practical survey data rather than with research on survey
 sampling (variance estimation). More functionalities are on the way.

Package: r-cran-samplingin
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-sampling
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-samplingin_1.1.1-1.ca2004.1_all.deb
Size: 276684
MD5sum: 2daec5b8c014e5e3f0f61a7ad68bb858
SHA1: e7639c72ec67c9bef4a925a723ee993f66f6cea7
SHA256: 8fde4b88f7898c2e50ff0561b0b37e05f13bfadf9244bc5ccfdee5f42066ae92
SHA512: c34a76e729bee09470cdbe6c743574f04e60e0e868a0506ed753f27f4275c4f05416866c0ab1de38a1820f79905f61a6cb104ae164c602f253ec89e733905054
Homepage: https://cran.r-project.org/package=samplingin
Description: CRAN Package 'samplingin' (Dynamic Survey Sampling Solutions)
 A robust solution employing the SRS (Simple Random Sampling), systematic and
 PPS (Probability Proportional to Size) sampling methods, ensuring a
 methodical and representative selection of data.  Seamlessly allocate
 predetermined allocations to smaller levels.

Package: r-cran-samplingr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-samplingr_1.0.1-1.ca2004.1_all.deb
Size: 105672
MD5sum: 1f3a3d0ae90311d27895a81abe7cc885
SHA1: 344b93bb61047ae99e61fbea4d0e4eea59dcee09
SHA256: 3375e9bf83f1f5fef531179b84efce0cde039238659722200d28701ccd59bb97
SHA512: afdff6567bbf5f4b9e98bb4c7b43b5c9699474f441659366b5439c89b403e16b5749f8c0fda5e5fec180eb06907afb2e82efa046586ca4e4b37d465a124b2a9b
Homepage: https://cran.r-project.org/package=samplingR
Description: CRAN Package 'samplingR' (Sampling and Estimation Methods)
 Functions to take samples of data, sample size estimation and getting useful
 estimators such as total, mean, proportion about its population using simple
 random, stratified, systematic and cluster sampling.

Package: r-cran-samplingstrata
Architecture: all
Version: 1.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1916
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-memoise, r-cran-doparallel, r-cran-pbapply, r-cran-samplingbigdata, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-formattable
Filename: pool/dists/focal/main/r-cran-samplingstrata_1.5-4-1.ca2004.1_all.deb
Size: 1368592
MD5sum: 01bb02e1816d996e7def670d296553c3
SHA1: 295186cca2c446fc8fa5c99097ba50a44b855235
SHA256: e7a83001e48d78f2f74ddfca3a609b55e6db45212aabe0c18e38fa8db6a551cc
SHA512: b812f1e7dd23b5e3fbf839ac658b3ce0ec3f5e283d254d1ca8d8fca8532ea73b506aea21d082408e9f126d81715485a7ee60cab6b60ee0812df32d8432ccd0c1
Homepage: https://cran.r-project.org/package=SamplingStrata
Description: CRAN Package 'SamplingStrata' (Optimal Stratification of Sampling Frames for MultipurposeSampling Surveys)
 In the field of stratified sampling design, this package offers an approach
 for the determination of the best stratification of a sampling frame, the
 one that ensures the minimum sample cost under the condition to satisfy
 precision constraints in a multivariate and multidomain case. This approach
 is based on the use of the genetic algorithm: each solution (i.e. a
 particular partition in strata of the sampling frame) is considered as an
 individual in a population; the fitness of all individuals is evaluated
 applying the Bethel-Chromy algorithm to calculate the sampling size
 satisfying precision constraints on the target estimates. Functions in the
 package allows to: (a) analyse the obtained results of the optimisation
 step; (b) assign the new strata labels to the sampling frame; (c) select a
 sample from the new frame accordingly to the best allocation. Functions for
 the execution of the genetic algorithm are a modified version of the
 functions in the 'genalg' package. M.Ballin, G.Barcaroli (2020)
 <arXiv:2004.09366> "R package SamplingStrata: new developments and extension
 to Spatial Sampling".

Package: r-cran-samplrdata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2820
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-samplrdata_1.0.0-1.ca2004.1_all.deb
Size: 2780440
MD5sum: e2721ed519bd5318db8814fa2283c5a7
SHA1: d5ce841f662b3767ac2c5c2b59f5f1725cb2616f
SHA256: 24e7d486c1e9ff061ccbe7ccea51442f4216efc62e7c78afb9b6f4c6b9001c69
SHA512: 1d8e55d67bcdffe7fba7db5b3831c95467fa24286b3f2bd549014b98ee4bbb2ddc2b360f66811b893b19a76ec6dd609cf1e0386511eca3fded3354554d26097d
Homepage: https://cran.r-project.org/package=samplrData
Description: CRAN Package 'samplrData' (Datasets from the SAMPLING Project)
 Contains human behaviour datasets collected by the SAMPLING project
 (<https://sampling.warwick.ac.uk>).

Package: r-cran-samprior
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 443
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rbest, r-cran-matchit, r-cran-metrics, r-cran-assertthat, r-cran-checkmate, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-foreach, r-cran-purrr, r-cran-rstanarm, r-cran-scales, r-cran-broom, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-samprior_2.0.0-1.ca2004.1_all.deb
Size: 242276
MD5sum: 9c1c0ea0764537545ff430f4c4855423
SHA1: e52b4d075f42973ab5ddb849da0dec6bfa8c7889
SHA256: 6dca5a0bbf693e4ed2ca346f1d07d4cce9d32aafbdaa567dd0de80f604510048
SHA512: 482a48a948f3009f4ea8e170e5f2ebbea2214a4866ee69071502d9c07b8b8b2831542cac76bd3b0347843e157ac9ab54ea01e7179eb8bffe62cbd7b57a6ec624
Homepage: https://cran.r-project.org/package=SAMprior
Description: CRAN Package 'SAMprior' (Self-Adapting Mixture (SAM) Priors)
 Implementation of the SAM prior and generation of its operating
 characteristics for dynamically borrowing information from historical data.
 For details, please refer to Yang et al. (2023) <doi:10.1111/biom.13927>.

Package: r-cran-sampsizeval
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-pracma, r-cran-dplyr, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sampsizeval_1.0.0.0-1.ca2004.1_all.deb
Size: 28828
MD5sum: 0c5b839d46bf534a963de291a95d59bd
SHA1: be204fe342a890f9c4174fb02a6afd1911b2e50e
SHA256: ca0696b1ade19d6a18e6464bde66636de00a3c263ce875c07ff93e36210815fe
SHA512: 96d31a50482a5d80f732236fc36525c8c8b956b853ee5abb8913487ebf5084359e9f9fad9ff0b9d1202194646980b2915bae277b8a501ea5a56f4bfad5e005a0
Homepage: https://cran.r-project.org/package=sampsizeval
Description: CRAN Package 'sampsizeval' (Sample Size for Validation of Risk Models with Binary Outcomes)
 Estimation of the required sample size to validate a risk model for binary
 outcomes, based on the sample size equations proposed by Pavlou et al.
 (2021) <doi:10.1177/09622802211007522>. For precision-based sample size
 calculations, the user is required to enter the anticipated values of the
 C-statistic and outcome prevalence, which can be obtained from a previous
 study. The user also needs to specify the required precision (standard
 error) for the C-statistic, the calibration slope and the calibration in the
 large. The calculations are valid under the assumption of marginal normality
 for the distribution of the linear predictor.

Package: r-cran-sampsurf
Architecture: all
Version: 0.7-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4201
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-latticeextra
Suggests: r-cran-rgl, r-cran-rgeos
Filename: pool/dists/focal/main/r-cran-sampsurf_0.7-6-1.ca2004.1_all.deb
Size: 3589756
MD5sum: 6d10f0afd85b0c277b6f03b207dca82f
SHA1: f7afe524fbf50d79e7b457ef4a9161a730a116d0
SHA256: cfb14e99565793c76cd00039cbec41f104d12595607c0f321d134cd97862057e
SHA512: 4db566ff0f4a23e2882e86e3fb89f3639583875c7f98281d989ee1286098c7eab0aea8f5fe32f9d12d3bda28a787ea4f28197663e9e7205fa58be4c6daa07301
Homepage: https://cran.r-project.org/package=sampSurf
Description: CRAN Package 'sampSurf' (Sampling Surface Simulation for Areal Sampling Methods)
 Sampling surface simulation is useful in the comparison of different areal
 sampling methods in forestry, ecology and natural resources. The sampSurf
 package allows the simulation of numerous sampling methods for standing
 trees and downed woody debris in a spatial context.  It also provides an S4
 class and method structure that facilitates the addition of new sampling
 methods.

Package: r-cran-sams
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sams_0.4.3-1.ca2004.1_all.deb
Size: 259084
MD5sum: 93e55b4b32a95968cedda095545cf083
SHA1: ec0662d53dd15a99e6db90a6eef57c1a30303c36
SHA256: 4935eaf318a72b36657d0fb33f230ccade1aab797a03017fb1fb99f069a0905c
SHA512: a949acb3c8477357f46e41aefe6fdd470dc0239913dc4f1546308b2e93b2a1648bea715f2f9f1e570b569d11e835ea8d4c93a474c87a43ff93466499c1a110b4
Homepage: https://cran.r-project.org/package=sams
Description: CRAN Package 'sams' (Merge-Split Samplers for Conjugate Bayesian Nonparametric Models)
 Markov chain Monte Carlo samplers for posterior simulations of conjugate
 Bayesian nonparametric mixture models. Functionality is provided for Gibbs
 sampling as in Algorithm 3 of Neal (2000)
 <DOI:10.1080/10618600.2000.10474879>, restricted Gibbs merge-split sampling
 as described in Jain & Neal (2004) <DOI:10.1198/1061860043001>, and
 sequentially-allocated merge-split sampling
 <DOI:10.1080/00949655.2021.1998502>, as well as summary and utility
 functions.

Package: r-cran-samtx
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bart
Filename: pool/dists/focal/main/r-cran-samtx_0.3.0-1.ca2004.1_all.deb
Size: 16672
MD5sum: 6161f05d588ccefa25063829b887bbd3
SHA1: b2002a0c0467d372022b8c015b36730a8764762c
SHA256: 99ba68e5ac4c4a1c82dd680924593637200ca02f1c2ef906110490cf08faf25e
SHA512: 13f8d7f1f8dd332fa12298c7b83365633d54977b705bd1c1e888f0b32bb87edf30f89c4472a8abe83953552a2afd74c03b64e2dd105f1a7ba016cfcb40c3ce0a
Homepage: https://cran.r-project.org/package=SAMTx
Description: CRAN Package 'SAMTx' (Sensitivity Assessment to Unmeasured Confounding with MultipleTreatments)
 A sensitivity analysis approach for unmeasured confounding in observational
 data with multiple treatments and a binary outcome. This approach derives
 the general bias formula and provides adjusted causal effect estimates in
 response to various assumptions about the degree of unmeasured confounding.
 Nested multiple imputation is embedded within the Bayesian framework to
 integrate uncertainty about the sensitivity parameters and sampling
 variability.  Bayesian Additive Regression Model (BART) is used for outcome
 modeling. The causal estimands are the conditional average treatment effects
 (CATE) based on the risk difference.  For more details, see paper: Hu L et
 al. (2020) A flexible sensitivity analysis approach for unmeasured
 confounding with multiple treatments and a binary outcome with application
 to SEER-Medicare lung cancer data <arXiv:2012.06093>.

Package: r-cran-samur
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matching
Filename: pool/dists/focal/main/r-cran-samur_1.1-1.ca2004.1_all.deb
Size: 28820
MD5sum: d35260154a9f58f693740111d69db2ca
SHA1: 97f5f54d64ed9ce319c47c94802fef1944b989f5
SHA256: a875cd3798086ae02854faff811f831e918eacdcccad83a8f54379c6e0de3923
SHA512: 2d8bc2d0ae7d08231b5b22541cf68bec8432d8683e0c7dcfb61d4646142cfe2e6f3286b5c5b99991bea9ed76c81171c7077ef3e0d1807a17edcd10f0bb5c69b6
Homepage: https://cran.r-project.org/package=SAMUR
Description: CRAN Package 'SAMUR' (Stochastic Augmentation of Matched Data Using RestrictionMethods)
 Augmenting a matched data set by generating multiple stochastic, matched
 samples from the data using a multi-dimensional histogram constructed from
 dropping the input matched data into a multi-dimensional grid built on the
 full data set. The resulting stochastic, matched sets will likely provide a
 collectively higher coverage of the full data set compared to the single
 matched set. Each stochastic match is without duplication, thus allowing
 downstream validation techniques such as cross-validation to be applied to
 each set without concern for overfitting.

Package: r-cran-samurai
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor
Filename: pool/dists/focal/main/r-cran-samurai_1.2.1-1.ca2004.1_all.deb
Size: 73972
MD5sum: 7a94a21ba471c3e7dc40f0964658c3ff
SHA1: dcf382bb01a50109a5c7f81fd4fdcf6eaf5640f6
SHA256: c58fd95453f7b65f615334e4baa32e03b3e1e00d9f763a4398448128f09d8f46
SHA512: 17bea49c331c4a391eb143ae1fac9ae1e7e0cf2126293b50ee28fad4fc9e525e0c5e041d4a2a3bd93fd26bf2c4f9d0261bf8be915318947ad639370af19c6a63
Homepage: https://cran.r-project.org/package=SAMURAI
Description: CRAN Package 'SAMURAI' (Sensitivity Analysis of a Meta-analysis with Unpublished butRegistered Analytical Investigations)
 This package contains R functions to gauge the impact of unpublished studies
 upon the meta-analytic summary effect of a set of published studies.
 (Credits: The research leading to these results has received funding from
 the European Union's Seventh Framework Programme (FP7/2007-2013) under grant
 agreement no. 282574.)

Package: r-cran-sand
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-igraphdata
Suggests: r-bioc-gostats, r-cran-rocr, r-cran-ape, r-cran-blockmodels, r-cran-car, r-cran-eigenmodel, r-cran-ergm, r-cran-fdrtool, r-cran-ggplot2, r-cran-huge, r-cran-kernlab, r-cran-lattice, r-cran-network, r-cran-networkdynamic, r-cran-networktomography, r-cran-ngspatial, r-cran-sna, r-cran-vioplot
Filename: pool/dists/focal/main/r-cran-sand_2.0.0-1.ca2004.1_all.deb
Size: 269632
MD5sum: 0915a92e2994606c808df7f06c52e122
SHA1: 6065fb19d40d7aed2482d3fc240bf40ba0c37951
SHA256: ea8750719b67785407692aa59ddafdcd9bd98380e48e7c197b64dc9f931e86cf
SHA512: 047304a50652ec66093e4291de771ff447c3716396da3a659c0cebc1b6aa4028016ca97e326990f86297bf01c827da6ad10c73b5269bf94d7397088e1f458b97
Homepage: https://cran.r-project.org/package=sand
Description: CRAN Package 'sand' (Statistical Analysis of Network Data with R, 2nd Edition)
 Data sets and code blocks for the book 'Statistical Analysis of Network Data
 with R, 2nd Edition'.

Package: r-cran-sandbox
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2229
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlummodel
Suggests: r-cran-emmageo, r-cran-luminescence, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sandbox_0.2.1-1.ca2004.1_all.deb
Size: 2237776
MD5sum: 577f104b43f54687bc9b6f7fbf5ee6bc
SHA1: 0ad0a503137770c916fd62134bfe98252bcda171
SHA256: be74b7205457e5300e20c0bb98d7565f93192820e3296d915f1c4d5bd1a36ca0
SHA512: 66448df9d7f06dc5aad721b55c52970870e2fd76bbd161f54ab91b2fca4b0d4b0a8b72d87ac86ef35d9f95aa755a2b997784a53eba0e56d7f60a6a13f0562829
Homepage: https://cran.r-project.org/package=sandbox
Description: CRAN Package 'sandbox' (Probabilistic Numerical Modelling of Sediment Properties)
 A flexible framework for definition and application of time/depth- based
 rules for sets of parameters for single grains that can be used to create
 artificial sediment profiles. Such profiles can be used for virtual sample
 preparation and synthetic, for instance, luminescence measurements.

Package: r-cran-sandwich
Architecture: all
Version: 3.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1720
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo
Suggests: r-cran-aer, r-cran-car, r-cran-geepack, r-cran-lattice, r-cran-lme4, r-cran-lmtest, r-cran-mass, r-cran-multiwayvcov, r-cran-pcse, r-cran-plm, r-cran-pscl, r-cran-scatterplot3d, r-cran-strucchange, r-cran-survival
Filename: pool/dists/focal/main/r-cran-sandwich_3.1-1-1.ca2004.1_all.deb
Size: 1482716
MD5sum: 54840e5468d5749485762a84a65956c9
SHA1: 1b0363e62d71ef6b8a9d19e0c380b8f64b4be10e
SHA256: 05a1032b4eb1bca867c9a035cce4bf0007ab3d20deda0d9dff20772dd8b8080b
SHA512: defd1c1da3b4ce28dd343483af1d4851a1b9ff977052a63313c2b5d06b887c44e5f8a7bba03fb1b0cdf88a1c12590597ec5d44bdbe8ff1e62666b4c6acfcf245
Homepage: https://cran.r-project.org/package=sandwich
Description: CRAN Package 'sandwich' (Robust Covariance Matrix Estimators)
 Object-oriented software for model-robust covariance matrix estimators.
 Starting out from the basic robust Eicker-Huber-White sandwich covariance
 methods include: heteroscedasticity-consistent (HC) covariances for
 cross-section data; heteroscedasticity- and autocorrelation-consistent (HAC)
 covariances for time series data (such as Andrews' kernel HAC, Newey-West,
 and WEAVE estimators); clustered covariances (one-way and multi-way); panel
 and panel-corrected covariances; outer-product-of-gradients covariances; and
 (clustered) bootstrap covariances. All methods are applicable to
 (generalized) linear model objects fitted by lm() and glm() but can also be
 adapted to other classes through S3 methods. Details can be found in Zeileis
 et al. (2020) <doi:10.18637/jss.v095.i01>, Zeileis (2004)
 <doi:10.18637/jss.v011.i10> and Zeileis (2006) <doi:10.18637/jss.v016.i09>.

Package: r-cran-sandwichr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-ggplot2, r-cran-gridextra, r-cran-geodetector, r-cran-caret, r-cran-lwgeom, r-cran-dplyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-mass, r-cran-ggpubr, r-cran-ape
Filename: pool/dists/focal/main/r-cran-sandwichr_1.0.4-1.ca2004.1_all.deb
Size: 136004
MD5sum: 39e82cb6c4700f11ba0782a8afdb5506
SHA1: a9810bab9197bf6aeec6e537f1526261a0b2cbf4
SHA256: e6e46adcd98bcb32e848df5ed4986860a9bd7392db06422ab59fc9e2fccd525a
SHA512: 012e73426c423aec4ba88e2ddafd720e826bd9b1434786ba27d4955898b3a0c0d8d8ffde9d8e7784b3edf6f86a355a8d3a3dd055778d120f4082f6d98d283d5c
Homepage: https://cran.r-project.org/package=sandwichr
Description: CRAN Package 'sandwichr' (Spatial Prediction Based on Spatial Stratified Heterogeneity)
 Spatial prediction is a common practice in social and environmental science.
 This package enables the implementation of SSH-based spatial prediction
 proposed by Wang et al. (2013) <doi:10.1068/a44710>. It provides functions
 to (1) evaluate stratification schemes, (2) interpolate sampling data over
 user-defined reporting units, (3) assess prediction uncertainties, and (4)
 evaluate overall accuracy using the k-fold cross-validation estimate.

Package: r-cran-sanfranbeachwater
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-lubridate, r-cran-magrittr, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sanfranbeachwater_0.1.0-1.ca2004.1_all.deb
Size: 32844
MD5sum: c806b1e66ecbf89e7e8e7a2065fa4bc1
SHA1: 49585f669adef08f0512eac8270938c1d6ae5fcc
SHA256: 0f4cc81b4bb1b7aca7cdd8dbfe653070bb54b15d3e4feedc0bbe6bdd16e1fe2c
SHA512: c72387a22e771698eda68b3b010f695d7fc08e4022add01a3fbf7d84f707a1a34b55242c289cdf6d46cfa660f276bcb83dbd2cab42d399e1dfaa144f85555ad4
Homepage: https://cran.r-project.org/package=SanFranBeachWater
Description: CRAN Package 'SanFranBeachWater' (Downloads and Tidies the San Francisco Public UtilitiesCommission Beach Water Quality Monitoring Program Data)
 Downloads and tidies the San Francisco Public Utilities Commission Beach
 Water Quality Monitoring Program data. Data sets can be downloaded per
 beach, or the raw data can be downloaded. See
 <https://sfwater.org/cfapps/lims/beachmain1.cfm>.

Package: r-cran-sangertools
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-janitor, r-cran-readr, r-cran-ggthemes, r-cran-magrittr, r-cran-readxl, r-cran-ggtext, r-cran-dbi, r-cran-odbc, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-sangertools_1.0.2-1.ca2004.1_all.deb
Size: 259204
MD5sum: ae9184ae8fbd95f8b95d444662100bdf
SHA1: ae88284730d70406dc037e909e76929e893b1fba
SHA256: fb934d2cbe3fda0ba005340c69f1ad33e6dda9ab113c1b1711adbeef76956024
SHA512: 8308b53e0e5896a7df9ac5e4c6f6b3a771fa70e4af5943a8b96c703d7c5d1894dd3657de4c6193ccc00f039c83d9a0ffe4567d0ddc20de26a2b79a41eb082d55
Homepage: https://cran.r-project.org/package=SangerTools
Description: CRAN Package 'SangerTools' (Tools for Population Health Management Analytics)
 Created for population health analytics and monitoring.  The functions in
 this package work best when working with patient level Master Patient
 Index-like datasets .  Built to be used by NHS bodies and other health
 service providers.

Package: r-cran-sanitytracker
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sanitytracker_0.1.0-1.ca2004.1_all.deb
Size: 65904
MD5sum: 736261e6b1881c7cf2db87cd15c4d8c3
SHA1: 96a110384ff120875435805729ad9c3820afd10a
SHA256: ea8189aeebc7a58cc854c04fa7176c3e88d2ed2afe1cae11818514fa6657fc45
SHA512: f453bea5bb7bcb2bbb454068b19edb7eccf5742db1f0dbfe28f2eb3e31767050b00a2525a00cb8136046f813b343d87d9258027fdf4702ae430862050d9b9192
Homepage: https://cran.r-project.org/package=sanityTracker
Description: CRAN Package 'sanityTracker' (Keeps Track of all Performed Sanity Checks)
 During the preparation of data set(s) one usually performs some sanity
 checks. The idea is that irrespective of where the checks are performed,
 they are centralized by this package in order to list all at once with
 examples if a check failed.

Package: r-cran-sanketphonetictranslator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcpp, r-cran-readr, r-cran-stringi, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sanketphonetictranslator_0.1.0-1.ca2004.1_all.deb
Size: 19120
MD5sum: 24958a2181319b184369cd9795b7bc64
SHA1: b8b78da66f2d56027783845bd985b78af29b491a
SHA256: 50672dfdaaf79e393f8aea51d330c5d612bb46c10ac6f4af9e7755cbcaf75a94
SHA512: 2b026709dde23065f2514e91a31b440054cc474f8298664b1ba83e6042bf6f5274a514f52cc4639e15d9cb145f9e6d53dce1452e0bd38541fabc329a412c19fa
Homepage: https://cran.r-project.org/package=sanketphonetictranslator
Description: CRAN Package 'sanketphonetictranslator' (Phonetic Transliteration Between Hindi and English)
 Facilitate phonetic transliteration between different languages. With
 support for both Hindi and English, this package provides a way to convert
 text between Hindi and English dataset. Whether you're working with
 multilingual data or need to convert dataset for analysis or presentation
 purposes, it offers a simple and efficient solution and harness the power of
 phonetic transliteration in your projects with this versatile package.

Package: r-cran-sankey
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-simplegraph
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sankey_1.0.2-1.ca2004.1_all.deb
Size: 222208
MD5sum: 6ed1294dbf7e152e3d6034683d88cf22
SHA1: 1688e456e63c935e3746850235ee13aa15e38a66
SHA256: b4022cf978a5f7ec5d55b03296d5da02172515eb035feaf814099f5f25d13c3b
SHA512: c3018811ac92b542b5249ad301eb93e9f1d4e5555aaac61cfa0d5f0b015de2f9cd28e154ade38ce7cd00554004a7952ff9d38daeda4846090545f68f3a5413a1
Homepage: https://cran.r-project.org/package=sankey
Description: CRAN Package 'sankey' (Illustrate the Flow of Information or Material)
 Plots that illustrate the flow of information or material.

Package: r-cran-sankeywheel
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3084
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-colourpicker, r-cran-manipulatewidget, r-cran-dt
Filename: pool/dists/focal/main/r-cran-sankeywheel_0.1.0-1.ca2004.1_all.deb
Size: 2462352
MD5sum: 314067ca564163bc5dee48eabcc24cd6
SHA1: 44c89254f4476356340a07fccf87eccd535f714b
SHA256: 83794d0bc7065374b258e6ba1f1a5aec507e80a72b2a4d59b03005ea76967ecc
SHA512: 2fc13cccfbb9492ad3da4b0ab6b8ef4fc603ebb0755573c1a953f998a4e4e4b8a3c557c8302aa064c9b65eb64cfb4704349695c571b853ec2e6229f2beea7fe6
Homepage: https://cran.r-project.org/package=sankeywheel
Description: CRAN Package 'sankeywheel' (Create Dependency Wheels and Sankey Diagrams)
 By binding R functions and the 'Highcharts' <http://www.highcharts.com/>
 charting library, 'sankeywheel' package provides a simple way to draw
 dependency wheels and sankey diagrams.

Package: r-cran-sanon
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sanon_1.6-1.ca2004.1_all.deb
Size: 89140
MD5sum: 6af3ea786790913101f7b2fd5639977a
SHA1: ce0188a40348a0ecf0092e94e53a28504b814646
SHA256: 3fbf3c95be93a3b01d1f6c5f7060457e8193eb0487c8d2f12e3685df30615675
SHA512: 5b43464dc21b39d128b94a9517715ead87b3a54686636e0ece5287e59acd247b98fd580c925bf3cb949d5df692a5a9e998f47e859625ed20b2ca52817eb6d966
Homepage: https://cran.r-project.org/package=sanon
Description: CRAN Package 'sanon' (Stratified Analysis with Nonparametric Covariable Adjustment)
 There are several functions to implement the method for analysis in a
 randomized clinical trial with strata with following key features. A
 stratified Mann-Whitney estimator addresses the comparison between two
 randomized groups for a strictly ordinal response variable. The multivariate
 vector of such stratified Mann-Whitney estimators for multivariate response
 variables can be considered for one or more response variables such as in
 repeated measurements and these can have missing completely at random (MCAR)
 data. Non-parametric covariance adjustment is also considered with the
 minimal assumption of randomization. The p-value for hypothesis test and
 confidence interval are provided.

Package: r-cran-sansa
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-fnn, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sansa_0.0.1-1.ca2004.1_all.deb
Size: 36812
MD5sum: 0bd6dd482f65493d8f1186f0588100f9
SHA1: e755fbe397b2d33773cc519f9e1951122bed0cf9
SHA256: 113d65804313af1832bf6e21ea650ac05c299216d50a277557ab162b39f27875
SHA512: d07a88b754438e202ca7ad562ec8f873fa5813601817152ba3f1085442819c67757f1e12023e82263ef7216495d91c49db8b9946955543701603099e9026cf35
Homepage: https://cran.r-project.org/package=sansa
Description: CRAN Package 'sansa' (Synthetic Data Generation for Imbalanced Learning in 'R')
 Machine learning is widely used in information-systems design. Yet, training
 algorithms on imbalanced datasets may severely affect performance on unseen
 data. For example, in some cases in healthcare, financial, or
 internet-security contexts, certain sub-classes are difficult to learn
 because they are underrepresented in training data. This 'R' package offers
 a flexible and efficient solution based on a new synthetic average
 neighborhood sampling algorithm ('SANSA'), which, in contrast to other
 solutions, introduces a novel “placement” parameter that can be tuned to
 adapt to each datasets unique manifestation of the imbalance. More
 information about the algorithm's parameters can be found at Nasir et al.
 (2022) <https://murtaza.cc/SANSA/>.

Package: r-cran-santar
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3423
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-foreach, r-cran-doparallel, r-bioc-pcamethods, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2, r-cran-iterators, r-cran-shiny, r-cran-bslib, r-cran-dt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pander, r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-santar_1.2.4-1.ca2004.1_all.deb
Size: 2306364
MD5sum: 5bd2bebd2fc16d80a532c9ab548fee86
SHA1: 4bb963dc439b15a5cec0030ac07053444ce396d4
SHA256: eff7981de74e2a7bf6bdd8851e91ff1d00b2692adfe3e7c7d08c124a3c6e4f22
SHA512: 81105c990d41462ec3b1b2b2ec40515c71e0ba0364585ae4c7148ada7f7f8fa82bbf80414c083efad0885d695d133e980bed4ede0c9d0764189e924aa98d6f9d
Homepage: https://cran.r-project.org/package=santaR
Description: CRAN Package 'santaR' (Short Asynchronous Time-Series Analysis)
 A graphical and automated pipeline for the analysis of short time-series in
 R ('santaR'). This approach is designed to accommodate asynchronous time
 sampling (i.e. different time points for different individuals),
 inter-individual variability, noisy measurements and large numbers of
 variables.  Based on a smoothing splines functional model, 'santaR' is able
 to detect variables highlighting significantly different temporal
 trajectories between study groups.  Designed initially for metabolic
 phenotyping, 'santaR' is also suited for other Systems Biology disciplines.
 Command line and graphical analysis (via a 'shiny' application) enable fast
 and parallel automated analysis and reporting, intuitive visualisation and
 comprehensive plotting options for non-specialist users.

Package: r-cran-sanzo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sanzo_0.1.0-1.ca2004.1_all.deb
Size: 113676
MD5sum: 9a2cc3438cc3da97d7021f7093f79d30
SHA1: cf6fd706b10273643aa70150b774bdb9f241ec69
SHA256: ee4bd10d8af17494a9535a235c6a18b6e1d60bf68674f68e5d8662200c229b62
SHA512: a0dba779a16bc7ea31a75461ef0c02484dd142279fada4377738da6df2cb541a1badf2ff75df9742d966ae33dd4316e7128e09ed621488387b50f3ac489918af
Homepage: https://cran.r-project.org/package=sanzo
Description: CRAN Package 'sanzo' (Color Palettes Based on the Works of Sanzo Wada)
 Inspired by the art and color research of Sanzo Wada (1883-1967), his
 "Dictionary Of Color Combinations" (2011, ISBN:978-4861522475), and the
 interactive site by Dain M. Blodorn Kim
 <https://github.com/dblodorn/sanzo-wada>, this package brings Wada's color
 combinations to R for easy use in data visualizations. This package honors
 60 of Wada's color combinations: 20 duos, 20 trios, and 20 quads.

Package: r-cran-saotd
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2454
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-widyr, r-cran-stringr, r-cran-tidytext, r-cran-rtweet, r-cran-tidyr, r-cran-igraph, r-cran-ggplot2, r-cran-ggraph, r-cran-scales, r-cran-reshape2, r-cran-lubridate, r-cran-magrittr, r-cran-ldatuning, r-cran-topicmodels
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-httr, r-cran-base64enc, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-saotd_0.3.1-1.ca2004.1_all.deb
Size: 1939208
MD5sum: a18e865ca62e2eca0857549fcb26988f
SHA1: d9b85aa7cc7728db8e81ae98720aab5b6e00f149
SHA256: 6b996a29b0ac7ac6ce4a3a40f88db677233de11ac90d60f9fac64fb943a07397
SHA512: 4aa883d4ef63825713a003ef338f8b4ce5ab5612f2b7a7c30f6c23ece3f7243272a588883b5089eaf81bd35e7abc2f3518be3b82f27992bd0e9f7d9602a73fad
Homepage: https://cran.r-project.org/package=saotd
Description: CRAN Package 'saotd' (Sentiment Analysis of Twitter Data)
 This analytic is an in initial foray into sentiment analysis.  This analytic
 will allow a user to access the Twitter API (once they create their own
 developer account), ingest tweets of their interest, clean / tidy data,
 perform topic modeling if interested, compute sentiment scores utilizing the
 Bing Lexicon, and output visualizations.

Package: r-cran-sap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bsda
Filename: pool/dists/focal/main/r-cran-sap_1.0-1.ca2004.1_all.deb
Size: 13508
MD5sum: cfbd9383e2b57f2c81f6de48bb4e0b8c
SHA1: c6a0d08b449015ebc5e74767a8e8c4a4c6c2a1f3
SHA256: 4add6a9ef4332b04091d242f17b266b8b45e545fb3d0bdce0c505b78db462993
SHA512: 80e73087c945e8192b53d4b8eb2f6ab4beaadf11579e9c67acc77e894248cbbc775ab1ae07b3b826b2b90f6cdcee14ced596b0ce85aa287c7d038b9820810a04
Homepage: https://cran.r-project.org/package=SAP
Description: CRAN Package 'SAP' (Statistical Analysis and Programming)
 The Hypothesis tests for the means of independent or paired groups.  This
 package investigates the normality assumption automatically.  Then, it tests
 the hypothesis tests for two independent or paired group means by using
 parametric or non-parametric tests. It uses the Shapiro-Wilk test to test
 the normality assumption. For independent two groups, If data comes from the
 normal distribution, the package uses the Z or t-test according to whether
 variances are known. For paired groups, it uses paired t-test under normal
 data sets. If data does not come from the normal distribution, the package
 uses the Wilcoxon test for independent and paired cases.

Package: r-cran-sapevom
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sapevom_0.2.0-1.ca2004.1_all.deb
Size: 20748
MD5sum: 24ff37b1b9a16ad3fe10321d3cd0fb04
SHA1: 77e26d251212621a5152b5be0b5726ca9313b6db
SHA256: 2bfe524500f1dba4df48d167d23c0889c40a90f38bd84f40b19dd42d9179b917
SHA512: 266c1581da30fa32babfc999d7ac698da6dd099154f59420bb4f54372570ef84ba1122ffb9d07ea42c80919ba44e4bb218d7365d69c162cb15ecb16e587e62e0
Homepage: https://cran.r-project.org/package=sapevom
Description: CRAN Package 'sapevom' (Group Ordinal Method for Multiple Criteria Decision-Making)
 Implementation of SAPEVO-M, a Group Ordinal Method for Multiple Criteria
 Decision-Making (MCDM). SAPEVO-M is an acronym for Simple Aggregation of
 Preferences Expressed by Ordinal Vectors Group Decision Making. This method
 provides alternatives ranking given decision makers' preferences: criteria
 preferences and alternatives preferences for each criterion.This method is
 described in Gomes et al. (2020) <doi: 10.1590/0101-7438.2020.040.00226524
 >.

Package: r-cran-sapfluxnetr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2675
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-furrr, r-cran-ggplot2, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-future, r-cran-knitr, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-sapfluxnetr_0.1.4-1.ca2004.1_all.deb
Size: 1933288
MD5sum: df259bf122729bb65a7de2c5ced56c4f
SHA1: 0ee30939c78d6cbc2f3fc69a4f713b104beaee61
SHA256: f34b9dcb64abc7ea443ad9cac858ae71bdab0f4e959fe894eae6ec860ecf9b24
SHA512: ee70afb38f7411455091aa07256e7a3ee5740c6f37db5acc32ed878a7ab6545b7b1fff4d81fb0dda415e52821e522c2dff558eda767cb28d4bed8751426242a5
Homepage: https://cran.r-project.org/package=sapfluxnetr
Description: CRAN Package 'sapfluxnetr' (Working with 'Sapfluxnet' Project Data)
 Access, modify, aggregate and plot data from the 'Sapfluxnet' project
 (<http://sapfluxnet.creaf.cat>), the first global database of sap flow
 measurements.

Package: r-cran-sapo
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sapo_0.8.0-1.ca2004.1_all.deb
Size: 94468
MD5sum: cba15091154926d8c2eee40a23a3b9e5
SHA1: 1c8abec8d46d9e0e890c406c58ba65dc16a0d484
SHA256: a6f833f91b9c2c2e08419e1b6eec104f99ec844fc86be22e271f59ec2a728978
SHA512: b4da4bf0446cd1c62244c86786135ca6e518d6064c3a6fcb544d9fbd4440c54e61f1504b514032e270eab850b3abf24a22542cb36ecca5fbe47c4b5019a1e620
Homepage: https://cran.r-project.org/package=sapo
Description: CRAN Package 'sapo' (Spatial Association of Different Types of Polygon)
 In ecology, spatial data is often represented using polygons. These polygons
 can represent a variety of spatial entities, such as ecological patches,
 animal home ranges, or gaps in the forest canopy.  Researchers often need to
 determine if two spatial processes, represented by these polygons, are
 independent of each other. For instance, they might want to test if the home
 range of a particular animal species is influenced by the presence of a
 certain type of vegetation.  To address this, Godoy et al. (2022)
 (<doi:10.1016/j.spasta.2022.100695>) developed conditional Monte Carlo
 tests. These tests are designed to assess spatial independence while taking
 into account the shape and size of the polygons.

Package: r-cran-saqgetr
Architecture: all
Version: 0.2.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-lubridate, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-tidyr, r-cran-magrittr, r-cran-httr
Suggests: r-cran-openair
Filename: pool/dists/focal/main/r-cran-saqgetr_0.2.21-1.ca2004.1_all.deb
Size: 76892
MD5sum: 2d93dbbd842bb7613df2834b8d41ba43
SHA1: 4747b03445fd4f07c7cea30eca19894006ca9a8c
SHA256: 08db1b1192f5dcd6d9e93a5a0ae90eade29c62951404dadb2335345e8ba0f428
SHA512: 2f5a2fb8da37153640c86215df2f29695075310ea2e41d274be7a042c5d2974a214c4f1ed29ddbadd708fe4d2c2eb88451a1b2f9b28353659bed84dd28ccb81d
Homepage: https://cran.r-project.org/package=saqgetr
Description: CRAN Package 'saqgetr' (Import Air Quality Monitoring Data in a Fast and Easy Way)
 A collection of tools to access prepared air quality monitoring data files
 from web servers with ease and speed. Air quality data are sourced from open
 and publicly accessible repositories and can be found in these locations:
 <https://www.eea.europa.eu/data-and-maps/data/airbase-the-european-air-quality-database-8>
 and <https://discomap.eea.europa.eu/map/fme/AirQualityExport.htm>. The web
 server space has been provided by Ricardo Energy & Environment.

Package: r-cran-sara4r
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2554
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tcltk2, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sara4r_0.1.0-1.ca2004.1_all.deb
Size: 1976408
MD5sum: 0ba59b6fa6e2232a1a1b0a4136d6c359
SHA1: 0b30c442c01e633d91fd6e89e82861dc728bbee3
SHA256: eed7e3c5c7b3d5cfd4f31c1c3624e65bd1c5d2c39b51f82ddaa9b1ac2317cbfc
SHA512: 4e16d8b899713391b65c0a6b4edac1aebbeb703903028977ccfbd0536e9ea5909aa1051931b2ac43f74054d0b9694cac8605c5463049af3281a18f7bbc5bbdbf
Homepage: https://cran.r-project.org/package=sara4r
Description: CRAN Package 'sara4r' (An R-GUI for Spatial Analysis of Surface Runoff using theNRCS-CN Method)
 A Graphical user interface to calculate the rainfall-runoff relation using
 the Natural Resources Conservation Service - Curve Number method (NRCS-CN
 method) but include modifications by Hawkins et al., (2002) about the
 Initial Abstraction. This GUI follows the programming logic of a previously
 published software (Hernandez-Guzman et al.,
 2011)<doi:10.1016/j.envsoft.2011.07.006>. It is a raster-based GIS tool that
 outputs runoff estimates from Land use/land cover and hydrologic soil group
 maps.  This package has already been published in Journal of
 Hydroinformatics (Hernandez-Guzman et al., 2021)<doi:10.2166/hydro.2020.087>
 but it is under constant development at the Institute about Natural
 Resources Research (INIRENA) from the Universidad Michoacana de San Nicolas
 de Hidalgo and represents a collaborative effort between the Hydro-Geomatic
 Lab (INIRENA) with the Environmental Management Lab (CIAD, A.C.).

Package: r-cran-saros.base
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 877
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vctrs, r-cran-rlang, r-cran-cli, r-cran-tidyselect, r-cran-dplyr, r-cran-tidyr, r-cran-glue, r-cran-stringi, r-cran-forcats, r-cran-fs, r-cran-yaml, r-cran-zip, r-cran-rstudioapi, r-cran-bcrypt
Suggests: r-cran-covr, r-cran-haven, r-cran-srvyr, r-cran-readr, r-cran-qs, r-cran-purrr, r-cran-writexl, r-cran-webshot, r-cran-usethis, r-cran-quarto, r-cran-labelled, r-cran-testthat, r-cran-tibble, r-cran-withr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-saros.base_1.1.0-1.ca2004.1_all.deb
Size: 453556
MD5sum: 68f52cb59afc024d066d52f9a2164cf6
SHA1: 33ac853ae85b97557df406e635f8720db39f7d73
SHA256: cf2774aac838d97b33fbe3248d62176f0afe8bc49b2d9b76da195d3f3406909f
SHA512: 433cb0a882d54dad4fbe16a2ef0c0ef9c1b798160607c7e5424c58da30de2139a7995ae5976598d105664a3eb0d4ceb79bb99b476c96aff1c7f4663b03b1fe9e
Homepage: https://cran.r-project.org/package=saros.base
Description: CRAN Package 'saros.base' (Base Tools for Semi-Automatic Reporting of Ordinary Surveys)
 Scaffold an entire web-based report using template chunks, based on a small
 chapter overview and a dataset.  Highly adaptable with prefixes, suffixes,
 translations, etc. Also contains tools for password-protecting, e.g. for
 each organization's report on a website. Developed for the common case of a
 survey across multiple organizations/sites where each organization wants to
 obtain results for their organization compared with everyone else.  See
 'saros' (<https://CRAN.R-project.org/package=saros>) for tools used for
 authors in the drafted reports.

Package: r-cran-saros
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-fs, r-cran-ggiraph, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-mschart, r-cran-officer, r-cran-rlang, r-cran-stringi, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-haven, r-cran-labelled, r-cran-quarto, r-cran-knitr, r-cran-readr, r-cran-scales, r-cran-spelling, r-cran-srvyr, r-cran-testthat, r-cran-tibble, r-cran-vdiffr, r-cran-withr, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-saros_1.5.4-1.ca2004.1_all.deb
Size: 331536
MD5sum: f12347910ebd3dfd7dc949c5190ca095
SHA1: bcd7d8f947a36b044633e3b486cfff162ab394d5
SHA256: cc306b3863d30ce364eba9608ef32e107e2d0095b1012b982487668469181bfe
SHA512: 428ec9889fc79b8f169053cb0907b2d95745530d2c6087606aa9182b969534eef00307d8128775ae5f5210871185bfb5d07dd6ecbab27dbfc567cb530816068f
Homepage: https://cran.r-project.org/package=saros
Description: CRAN Package 'saros' (Semi-Automatic Reporting of Ordinary Surveys)
 Offers a systematic way for conditional reporting of figures and tables for
 many (and bivariate combinations of) variables, typically from survey data.
 Contains interactive 'ggiraph'-based
 (<https://CRAN.R-project.org/package=ggiraph>) plotting functions and data
 frame-based summary tables (bivariate significance tests,
 frequencies/proportions, unique open ended responses, etc) with many
 arguments for customization, and extensions possible. Uses a global
 options() system for neatly reducing redundant code.  Also contains tools
 for immediate saving of objects and returning a hashed link to the object,
 useful for creating download links to high resolution images upon rendering
 in 'Quarto'.  Suitable for highly customized reports, primarily intended for
 survey research.

Package: r-cran-sarp.compo
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-car
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-sarp.compo_0.1.8-1.ca2004.1_all.deb
Size: 244364
MD5sum: 70dcaee2a82435745e4671d5b4dce0c3
SHA1: 5e62491df7eb2d9bcc8fc2876b6b443db63efaac
SHA256: f74eae80d9a4dc2fa25507ca9d6b5955bd4e1bfd9d26a6ff24e53585af8d8e32
SHA512: e34ce5ad1b94c5e0c0536a7b19ee82c752653d25fee31389e03799dc44063aa619f939aa1532751fad0a172d8383e1bd428b5a4f08069767b1a251d1d357ef36
Homepage: https://cran.r-project.org/package=SARP.compo
Description: CRAN Package 'SARP.compo' (Network-Based Interpretation of Changes in Compositional Data)
 Provides a set of functions to interpret changes in compositional data based
 on a network representation of all pairwise ratio comparisons: computation
 of all pairwise ratio, construction of a p-value matrix of all pairwise
 tests of these ratios between conditions, conversion of this matrix to a
 network.

Package: r-cran-sarp.moodle
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-magick
Suggests: r-cran-readods, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-sarp.moodle_1.2.3-1.ca2004.1_all.deb
Size: 388504
MD5sum: 0e43efdfbb28f563879a0b9524b6c259
SHA1: bfaccba97db22f1dc0a339851a55301a7c5baab3
SHA256: 2014b8afad2223de78e0bf0d1cf0e6ca58cf9be6a78ff721051e36fef863f596
SHA512: b68821c71529225b181ae844144874fb7e1d97764d3ad6f319e4f885b4085db7255226b6680e3523c83a586655def8398c80764618841cc30d61d7cf517fc587
Homepage: https://cran.r-project.org/package=SARP.moodle
Description: CRAN Package 'SARP.moodle' (XML Output Functions for Easy Creation of Moodle Questions)
 Provides a set of basic functions for creating Moodle XML output files
 suited for importing questions in Moodle (a learning management system, see
 <https://moodle.org/> for more information).

Package: r-cran-sarp.snowprofile.alignment
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3848
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sarp.snowprofile, r-cran-cluster, r-cran-dtw, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-dendextend, r-cran-smacof, r-cran-testthat, r-cran-progress
Filename: pool/dists/focal/main/r-cran-sarp.snowprofile.alignment_2.0.2-1.ca2004.1_all.deb
Size: 2802856
MD5sum: 7e3c1f23782b35d67b7c0822501d9786
SHA1: 0faac5f3b5f42634d628d7b608517904986d94de
SHA256: 9d17598784996e9af9971d9dcf7fdc0172e9580ee828db8d6f469a55ed280fe4
SHA512: 188e8669c1c1c2133a0f218c9b3c4241de8cab7f0414df687b0382488908e4aecf3cdece9a059693ce3e5c94e5d7ba6ccd92a41120aad64899ce2d1043ecaac2
Homepage: https://cran.r-project.org/package=sarp.snowprofile.alignment
Description: CRAN Package 'sarp.snowprofile.alignment' (Snow Profile Alignment, Aggregation, and Clustering)
 Snow profiles describe the vertical (1D) stratigraphy of layered snow with
 different layer characteristics, such as grain type, hardness, deposition
 date, and many more. Hence, they represent a data format similar to
 multivariate time series containing categorical, ordinal, and numerical data
 types. Use this package to align snow profiles by matching their individual
 layers based on Dynamic Time Warping (DTW). The aligned profiles can then be
 assessed with an independent, global similarity measure that is geared
 towards avalanche hazard assessment. Finally, through exploiting data
 aggregation and clustering methods, the similarity measure provides the
 foundation for grouping and summarizing snow profiles according to similar
 hazard conditions. In particular, this package allows for averaging large
 numbers of snow profiles with DTW Barycenter Averaging and thereby
 facilitates the computation of individual layer distributions and summary
 statistics that are relevant for avalanche forecasting purposes.  For more
 background information refer to Herla, Horton, Mair, and Haegeli (2021)
 <doi:10.5194/gmd-14-239-2021>, Herla, Mair, and Haegeli (2022)
 <doi:10.5194/tc-16-3149-2022>, and Horton, Herla, and Haegeli (2024)
 <doi:10.5194/egusphere-2024-1609>.

Package: r-cran-sarp.snowprofile.pyface
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1827
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sarp.snowprofile, r-cran-reticulate, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-sarp.snowprofile.pyface_0.1.3-1.ca2004.1_all.deb
Size: 349124
MD5sum: 550cf7d3aab3f57bb193816c51acb3ef
SHA1: d77e6cdf59bc40363a23ab77d5d5a6f4e38a5e82
SHA256: aeedd86924627715713e84ec122939c2bd9724693cb68cac6105a58eee97122c
SHA512: 627c648abb5ae628173b362841407c933e2fa577ecec2f31b395ed9fb2af94b1028312d0871826bebbe6672f9fc0b840b9549c8c4766e20ec53e63731d3cc832
Homepage: https://cran.r-project.org/package=sarp.snowprofile.pyface
Description: CRAN Package 'sarp.snowprofile.pyface' ('python' Modules from Snowpack and Avalanche Research)
 The development of post-processing functionality for simulated snow profiles
 by the snow and avalanche community is often done in 'python'. This package
 aims to make these tools accessible to 'R' users. Currently integrated
 modules contain functions to calculate dry snow layer instabilities in
 support of avalache hazard assessments following the publications of
 Richter, Schweizer, Rotach, and Van Herwijnen (2019)
 <doi:10.5194/tc-13-3353-2019>, and Mayer, Van Herwijnen, Techel, and
 Schweizer (2022) <doi:10.5194/tc-2022-34>.

Package: r-cran-sarp.snowprofile
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 735
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-sarp.snowprofile.alignment
Filename: pool/dists/focal/main/r-cran-sarp.snowprofile_1.3.2-1.ca2004.1_all.deb
Size: 439552
MD5sum: 270451f09de869f77c78304aff019c0a
SHA1: 21e367f51635156c317b7995b1c5b3fb05ca9839
SHA256: 71470203e8ae13571e56696a1d2dc5cb2e18c663515a8e00b2100b048c3e3d3f
SHA512: b8e77386508320ba1d24f22b68adab0939ceba14647fcc27a71bea6d74456da7eca3095274b60549a7b39473d72953d3845bd2d39b3f0f276321a609d2e686af
Homepage: https://cran.r-project.org/package=sarp.snowprofile
Description: CRAN Package 'sarp.snowprofile' (Snow Profile Analysis for Snowpack and Avalanche Research)
 Analysis and plotting tools for snow profile data produced from manual
 snowpack observations and physical snowpack models. The functions in this
 package support snowpack and avalanche research by reading various formats
 of data (including CAAML, SMET, generic csv, and outputs from the snow cover
 model SNOWPACK), manipulate the data, and produce graphics such as
 stratigraphy and time series profiles. Package developed by the Simon Fraser
 University Avalanche Research Program <http://www.avalancheresearch.ca>.
 Graphics apply visualization concepts from Horton, Nowak, and Haegeli (2020,
 <doi:10.5194/nhess-20-1557-2020>).

Package: r-cran-sars
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nortest, r-cran-crayon, r-cran-cli, r-cran-numderiv, r-cran-doparallel, r-cran-foreach, r-cran-aiccmodavg, r-cran-minpack.lm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sars_2.0.0-1.ca2004.1_all.deb
Size: 674424
MD5sum: 7cf731b1873f90d2d2fe874186cc57fc
SHA1: 75f72fb237df1a7bdf9f4721b141c3d9d1c1571e
SHA256: 814ea4dae7273a532b7daed5fc50ce25dea918ec4d90f92344252a6c0a15f424
SHA512: 304092ab62e95478e4e9acc603cb90e8691ac58fa9652d6ffcba61a7c3ba2a3f89e705895aa5524aba238112ced730c44aae3da5e04f06badd7e7b7cb725062d
Homepage: https://cran.r-project.org/package=sars
Description: CRAN Package 'sars' (Fit and Compare Species-Area Relationship Models UsingMultimodel Inference)
 Implements the basic elements of the multi-model inference paradigm for up
 to twenty species-area relationship models (SAR), using simple R
 list-objects and functions, as in Triantis et al. 2012
 <DOI:10.1111/j.1365-2699.2011.02652.x>.  The package is scalable and users
 can easily create their own model and data objects. Additional SAR related
 functions are provided.

Package: r-cran-sas7bdat
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sas7bdat_0.8-1.ca2004.1_all.deb
Size: 203344
MD5sum: 11d5719263eaf02357d85cfa712a6c07
SHA1: fb1cd4393228606bc1f277b1f040837f18546038
SHA256: b14790422c60307b0e4ce874484b9cbe67e52a0c53b44a04e3962a782265d6aa
SHA512: 8f413dc991a16b7f614167a28f3eb8708ed4b68cb8e1caa5e7b09f94caf28163bb647c67637105fdb79fef1da0facb1dea52903a7bb0161e7f5b9a8b3f54d70c
Homepage: https://cran.r-project.org/package=sas7bdat
Description: CRAN Package 'sas7bdat' (sas7bdat Reverse Engineering Documentation)
 Documentation and prototypes for the earliest (circa 2010) open-source
 effort to reverse engineer the sas7bdat file format. The package includes a
 prototype reader for sas7bdat files. However, newer packages may contain
 more robust readers for sas7bdat files.

Package: r-cran-sascii
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sascii_1.0.2-1.ca2004.1_all.deb
Size: 42860
MD5sum: 137f35e8d8cef38ead50f38ce69c26e6
SHA1: efcc0d7a274d3115b737fa4f02a141a967724f8f
SHA256: c46f59ab2c44e26d2a7b316032537d9e7a11dbff84bb2a805711d80a957d1426
SHA512: 49082359c758a322c676af5e685fca392041059c08c0c119b7788881d057b6c2f669c351581b1cf37a0e8109147a5651e6c36ef1cb2559d43baad53d3c2380ac
Homepage: https://cran.r-project.org/package=SAScii
Description: CRAN Package 'SAScii' (Import ASCII Files Directly into R using Only a 'SAS' InputScript)
 Using any importation code designed for 'SAS' users to read ASCII files into
 'sas7bdat' files, this package parses through the INPUT block of a '.sas'
 syntax file to design the parameters needed for a 'read.fwf()' function
 call.  This allows the user to specify the location of the ASCII (often a
 '.dat') file and the location of the 'SAS' syntax file, and then load the
 data frame directly into R in just one step.

Package: r-cran-sasdates
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sasdates_0.1.0-1.ca2004.1_all.deb
Size: 18912
MD5sum: 63bbe65e6892d5278ad1a09f1b8b90a5
SHA1: 7deddf28c4435b402202d39cd81143503d47f620
SHA256: e906c7376732bb9b4fd330bd661c7439597a4309e377a6b3eb11a76d8a3be798
SHA512: b582303640e34a473c7673d7e4442fde9ba83047d62b2cfc20b79375ff606145f9b20bb8da3b2ba71c3c71da810ba5c5c7ea8b108aee68b516cbf326552a8e9e
Homepage: https://cran.r-project.org/package=SASdates
Description: CRAN Package 'SASdates' (Convert the Dates to 'SAS' Formats)
 Converts the dates to different 'SAS' date formats. In 'SAS' dates are a
 special case of numeric values. Each day is assigned a specific numeric
 value, starting from January 1, 1960.  This date is assigned the date value
 0, and the next date has a date value of 1 and so on.  The previous days to
 this date are represented by -1 , -2 and so on. With this approach, 'SAS'
 can represent any date in the future or any date in the past. There are many
 date formats used in 'SAS' to represent date-time. Here, we try to develop
 functions which will convert the date to different 'SAS' date formats.

Package: r-cran-saslm
Architecture: all
Version: 0.10.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-saslm_0.10.5-1.ca2004.1_all.deb
Size: 1179928
MD5sum: 5d4be6337a2f6375be3138d81d2d1dff
SHA1: b25d2c258a947b61c21ce6f717eca3a74e7160f5
SHA256: a56d7e7182e935371bfae6d8f2dea2f93c326144d1631950a97cc780cba2cdad
SHA512: 9ec55f1da4a550629b1af406e923af203a5c06653f7d4ecc309032461983d9bfcaeb52f313b95eae58cba3a79a45401f2f6c540935d3bb4e8e0eaec1119a31ae
Homepage: https://cran.r-project.org/package=sasLM
Description: CRAN Package 'sasLM' ('SAS' Linear Model)
 This is a core implementation of 'SAS' procedures for linear models - GLM,
 REG, ANOVA, TTEST, FREQ, and UNIVARIATE. Some R packages provide type II and
 type III SS. However, the results of nested and complex designs are often
 different from those of 'SAS.' Different results does not necessarily mean
 incorrectness. However, many wants the same results to SAS. This package
 aims to achieve that.  Reference: Littell RC, Stroup WW, Freund RJ (2002,
 ISBN:0-471-22174-0).

Package: r-cran-sasmap
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-stringi
Suggests: r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-sasmap_1.0.0-1.ca2004.1_all.deb
Size: 165520
MD5sum: 081d6835f178865ade5ef8ca939b6b68
SHA1: f2ef2f510a319bea6ccde7b39ebaca4121420d3a
SHA256: 333d76d1e694face01eaaef8ddf4a4a83c0d1642e87d05d4e6a2f8e7ce587fa5
SHA512: 49d5c3aaf0923efbb409978d32a09830c6ab94b28aacd64c7ebe8065fbf674106c4ae316a3da616da16d54084652a095b4267bffeb40530cb88d5d83f8c0f9fc
Homepage: https://cran.r-project.org/package=sasMap
Description: CRAN Package 'sasMap' (Static 'SAS' Code Analysis)
 A static code analysis tool for 'SAS' scripts. It is designed to load,
 count, extract, remove, and summarise components of 'SAS' code.

Package: r-cran-sasmarkdown
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-knitr, r-cran-xfun
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sasmarkdown_0.8.2-1.ca2004.1_all.deb
Size: 98148
MD5sum: 54ad8e3b7907be2482c386de62522393
SHA1: 3949685c4b2bc3769465adc339cec093f662d05e
SHA256: 6e8ab9550c204eb9682a5dc971245a9fce90c8684fd10ae907dd5fefae527ef2
SHA512: f57d735c2cdaecb3b6a9af5ac8f09f4022b24393ee36e4df6700c6e619f6826868c998bf294e60755705190ad3cf8b6d427f8a21412e2ff44aef629ca5cecb5b
Homepage: https://cran.r-project.org/package=SASmarkdown
Description: CRAN Package 'SASmarkdown' ('SAS' Markdown)
 Settings and functions to extend the 'knitr' 'SAS' engine.

Package: r-cran-sasmixed
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lme4, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-sasmixed_1.0-4-1.ca2004.1_all.deb
Size: 323652
MD5sum: fdd2de2396aa92137bc520f157957381
SHA1: 5ecdbe6778f4242051a84f8efdee972c85ef811f
SHA256: 8c762e7d9a07afd6fd163c5f4378a8c04527923f3871cbc8eb2656f868d709f1
SHA512: 755ca649f813c39ddb8a4168762926260532f34b1ccd7be9e9890f9ab673b0c9eaece6f4118a710f56e2e45a0cd5ea8e2849d4b298004f22721fdc60ec101f05
Homepage: https://cran.r-project.org/package=SASmixed
Description: CRAN Package 'SASmixed' (Data sets from "SAS System for Mixed Models")
 Data sets and sample lmer analyses corresponding to the examples in Littell,
 Milliken, Stroup and Wolfinger (1996), "SAS System for Mixed Models", SAS
 Institute.

Package: r-cran-sasr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-lifecycle, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sasr_0.1.5-1.ca2004.1_all.deb
Size: 346036
MD5sum: c609a75ef903a0ee9ec34702c43dc882
SHA1: c1c6eef22b60b31b0c19fe7332bd2a3c0dbfb240
SHA256: 6157f4be2a5ceb68565a93f7a932d3e6f4fbd1334f364e3368f757d34933efd7
SHA512: 594d8b2f0ddc625cc26d4c5b3f500f704af76d162b2eb661c1bd54287f1538474b75032fe8919d3e1d446c5433cb54513546710c6a4db3a9f32598ee53095adb
Homepage: https://cran.r-project.org/package=sasr
Description: CRAN Package 'sasr' ('SAS' Interface)
 Provides a 'SAS' interface, through
 'SASPy'(<https://sassoftware.github.io/saspy/>) and
 'reticulate'(<https://rstudio.github.io/reticulate/>).  This package helps
 you create 'SAS' sessions, execute 'SAS' code in remote 'SAS' servers,
 retrieve execution results and log, and exchange datasets between 'SAS' and
 'R'.  It also helps you to install 'SASPy' and create a configuration file
 for the connection. Please review the 'SASPy' license file as instructed so
 that you comply with its separate and independent license.

Package: r-cran-sassy
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6335
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fmtr, r-cran-common, r-cran-logr, r-cran-libr, r-cran-reporter, r-cran-procs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidylog, r-cran-magrittr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sassy_1.2.5-1.ca2004.1_all.deb
Size: 1802320
MD5sum: 7044d3a2296501329bef9dea65850f9b
SHA1: 7c3113b9e9663968d840fedce9ef703a574fdacf
SHA256: 13c92e1af054dffc17f040822b59a5855f86882f99d44648b96c80274341a6c1
SHA512: 30f466deafa35cf4e2411fb7fdf2c6d93790569569fd7852aa8315a2eb2ca56da1eec4bb5196383086850d8619810592bb8d8d5b70b96b312e50d8ba7dfc4abe
Homepage: https://cran.r-project.org/package=sassy
Description: CRAN Package 'sassy' (Makes 'R' Easier for Everyone)
 A meta-package that aims to make 'R' easier for everyone, especially
 programmers who have a background in 'SAS®' software.  This set of packages
 brings many useful concepts to 'R', including data libraries, data
 dictionaries, formats and format catalogs, a data step, and a traceable log.
 The 'flagship' package is a reporting package that can output in text, rich
 text, 'PDF', 'HTML', and 'DOCX' file formats.

Package: r-cran-sate
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ellipse, r-cran-mass, r-cran-survey
Filename: pool/dists/focal/main/r-cran-sate_2.4.0-1.ca2004.1_all.deb
Size: 111676
MD5sum: c78575ff7a557795e5deaa4d2beb71f0
SHA1: cb39d56d77a743681a978b4f6f61c54c7755fd79
SHA256: de8d783778d760154512783d7ea842cae6299312c867aacba8f3ed6d1485a0be
SHA512: 272627a5f8d61cc6260314a0cdd09d66c76a41913c219324b7f25f8620261334aba257036ebdbe61d2d79effbc64e87eea60951766b6d6ebcfabb34f73de13e8
Homepage: https://cran.r-project.org/package=sate
Description: CRAN Package 'sate' (Scientific Analysis of Trial Errors (SATE))
 Bundles functions used to analyze the harmfulness of trial errors in
 criminal trials.  Functions in the Scientific Analysis of Trial Errors
 ('SATE') package help users estimate the probability that a jury will find a
 defendant guilty given jurors' preferences for a guilty verdict and the
 uncertainty of that estimate. Users can also compare actual and hypothetical
 trial conditions to conduct harmful error analysis. The relationship between
 individual jurors' verdict preferences and the probability that a jury
 returns a guilty verdict has been studied by Davis (1973)
 <doi:10.1037/h0033951>; MacCoun & Kerr (1988)
 <doi:10.1037/0022-3514.54.1.21>, and Devine et el. (2001)
 <doi:10.1037/1076-8971.7.3.622>, among others.

Package: r-cran-satin
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1049
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ncdf4, r-cran-maps, r-cran-pbsmapping, r-cran-splancs, r-cran-sp, r-cran-geosphere
Filename: pool/dists/focal/main/r-cran-satin_1.1.0-1.ca2004.1_all.deb
Size: 1017424
MD5sum: 1f9ab404a77439c0e956ed3b33b0ab25
SHA1: 93a84d1b880f64e41338f17b7044071ed63b2a74
SHA256: cc586d0623a156c27479a8d001c5aa7878f71d03b30b82df42f2e52f8ce3c509
SHA512: c66d3c1555939db91a0223d9d2403e96fe542446e0f11a3d32dfe240d57a519b8f455fcca67aded0d9cff0325fb3d6d37ebfe2fbc85a84da1d518e93443e5d6a
Homepage: https://cran.r-project.org/package=satin
Description: CRAN Package 'satin' (Visualisation and Analysis of Ocean Data Derived from Satellites)
 With 'satin' functions, visualisation, data extraction and further analysis
 like producing climatologies from several images, and anomalies of satellite
 derived ocean data can be easily done.  Reading functions can import a user
 defined geographical extent of data stored in netCDF files.  Currently
 supported ocean data sources include NASA's Oceancolor web page
 <https://oceancolor.gsfc.nasa.gov/>, sensors VIIRS-SNPP; MODIS-Terra;
 MODIS-Aqua; and SeaWiFS.  Available variables from this source includes
 chlorophyll concentration, sea surface temperature (SST), and several
 others.  Data sources specific for SST that can be imported too includes
 Pathfinder AVHRR <https://www.ncei.noaa.gov/products/avhrr-pathfinder-sst>
 and GHRSST <https://www.ghrsst.org/>.  In addition, ocean productivity data
 produced by Oregon State University
 <http://sites.science.oregonstate.edu/ocean.productivity/> can also be
 handled previous conversion from HDF4 to HDF5 format.  Many other ocean
 variables can be processed by importing netCDF data files from two European
 Union's Copernicus Marine Service databases <https://marine.copernicus.eu/>,
 namely Global Ocean Physical Reanalysis and Global Ocean Biogeochemistry
 Hindcast.

Package: r-cran-satres
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2428
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-snakecase, r-cran-terra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-satres_1.1.1-1.ca2004.1_all.deb
Size: 1759120
MD5sum: 4058494d39f130decf4aa6fe8bb99a4c
SHA1: 51a1afbc899756990fe871cca9596a05d04c6b14
SHA256: 47e921b1d38c4b1c44f812dce200e6c72c756a94214379b5a7bbd54b4c238c3f
SHA512: 17fd58234cd9f523d8738f3ddc1403de2cd69e62543b88cbbfc7d97b45ea37d2cdbe0bbf368babb4c7543866d0ca96d8c796cbf8d168b92b1aee0e9656194d39
Homepage: https://cran.r-project.org/package=satres
Description: CRAN Package 'satres' (Grouping Satellite Bands by Spectral and Spatial Resolution)
 Given raster files directly downloaded from various websites, it generates a
 raster structure where it merges them if they are tiles of the same scene
 and classifies them according to their spectral and spatial resolution for
 easy access by name.

Package: r-cran-satscanmapper
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2043
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreign, r-cran-stringr, r-cran-rcolorbrewer, r-cran-sp, r-cran-seermapper
Filename: pool/dists/focal/main/r-cran-satscanmapper_1.0.2-1.ca2004.1_all.deb
Size: 1377404
MD5sum: 2dde94c178c018101ae7ddfcf1f13539
SHA1: efca771b7c99a810f2777495caf53fc04679f295
SHA256: 1fd79a56fe24edc87c5e87d4f7ad318d0e52e172572bdbda15af14658b405521
SHA512: bfc09e6c0b8202368c551c9c7f96021f174c307adf4321ad36b478acf09a31f6ad36f0a68111cbb5837f5b8672db882f9b846202ded5ca9074c2322b5527abbe
Homepage: https://cran.r-project.org/package=satscanMapper
Description: CRAN Package 'satscanMapper' ('SaTScan' (TM) Results Mapper)
 Supports the generation of maps based on the results from 'SaTScan' (TM)
 cluster analysis.  The package handles mapping of Spatial and Spatial-Time
 analysis using the discrete Poisson, Bernoulli, and exponential models of
 case data generating cluster and location ('GIS') records containing
 observed, expected and observed/expected ratio for U. S. states (and DC),
 counties or census tracts of individual states based on the U. S. 'FIPS'
 codes for state, county and census tracts (locations) using 2000 or 2010
 Census areas, 'FIPS' codes, and boundary data.  'satscanMapper' uses the
 'SeerMapper' package for the boundary data and mapping of locations.  Not
 all of the 'SaTScan' (TM) analysis and models generate the observed,
 expected and observed/expected ratio values for the clusters and locations.
 The user can map the observed/expected ratios for locations (states,
 counties, or census tracts) for each cluster with a p-value less than 0.05
 or a user specified p-value.  The locations are categorized and colored
 based on either the cluster's Observed/Expected ratio or the locations'
 Observed/Expected ratio.  The place names are provided for each census tract
 using data from 'NCI', the 'HUD' crossover tables (Tract to Zip code) as of
 December, 2013, the USPS Zip code 5 database for 1999, and manual look ups
 on the USPS.gov web site.

Package: r-cran-saturncoefficient
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixcorrelation, r-cran-projectionbasedclustering, r-cran-umap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-saturncoefficient_1.4-1.ca2004.1_all.deb
Size: 28332
MD5sum: 0eb4fa78b5aafc2bfced0c0125df8788
SHA1: 1e49e882fd08d78d7ff5b46e3d9835fb2a583c16
SHA256: 02bb3ab5e95ba0238564eead135ee4510de152b71f88862e23725746a1618514
SHA512: 6e1578774375d297acae4b6f916cdfe145b5d6add26a84280b7513df74763897b13bf90ab63f5ff9fba199be38e22fd6044a0bf7e3be6a24905844099ff7906b
Homepage: https://cran.r-project.org/package=SaturnCoefficient
Description: CRAN Package 'SaturnCoefficient' (Statistical Evaluation of UMAP Dimensionality Reductions)
 A metric expressing the quality of a UMAP layout. This is a package that
 contains the Saturn_coefficient() function that reads an input matrix, its
 dimensionality reduction produced by UMAP, and evaluates the quality of this
 dimensionality reduction by producing a real value in the [0; 1] interval.
 We call this real value Saturn coefficient. A higher value means better
 dimensionality reduction; a lower value means worse dimensionality
 reduction.  Reference: Davide Chicco et al. "The Saturn coefficient for
 evaluating the quality of UMAP dimensionality reduction results" (2025, in
 preparation).

Package: r-cran-sautomata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sautomata_0.1.0-1.ca2004.1_all.deb
Size: 39300
MD5sum: a0fdb352d01c291e74b09f9be26132c7
SHA1: a5ca27a95aff9dfbe8fc39271d98219ab5a56102
SHA256: 438a0b7a7ae580974da4437260a6750d4d04a0ae011340055c97a48b9957f86a
SHA512: f8cab06d90d90a75098929898d9d27024530887f3045a61b8e36e358015093963c769d1f145b261a85d951ebe6a4148caf51ecabf1148c3d8f17e9740fa58bf6
Homepage: https://cran.r-project.org/package=SAutomata
Description: CRAN Package 'SAutomata' (Inference and Learning in Stochastic Automata)
 Machine learning provides algorithms that can learn from data and make
 inferences or predictions. Stochastic automata is a class of input/output
 devices which can model components. This work provides implementation an
 inference algorithm for stochastic automata which is similar to the Viterbi
 algorithm. Moreover, we specify a learning algorithm using the
 expectation-maximization technique and provide a more efficient
 implementation of the Baum-Welch algorithm for stochastic automata. This
 work is based on Inference and learning in stochastic automata was by
 Karl-Heinz Zimmermann(2017) <doi:10.12732/ijpam.v115i3.15>.

Package: r-cran-saver
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-foreach, r-cran-iterators, r-cran-doparallel, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-saver_1.1.2-1.ca2004.1_all.deb
Size: 4204424
MD5sum: 2e5e0b2fea0ac3178ee364e55aeb5930
SHA1: 789859dc4909b3e6e0464be50787c7c334eaa7d3
SHA256: 1664e60653e67eac4f7e380d68f1d2e85753af054e6c63da2d4fec58dbc283fc
SHA512: 1ac71222bbbfa764336dfd5aed233f67eb79234c58d4e156444417753ac541529d0814c5d7ae4daa998326320330a756190330281337b8befd6e2618027769dc
Homepage: https://cran.r-project.org/package=SAVER
Description: CRAN Package 'SAVER' (Single-Cell RNA-Seq Gene Expression Recovery)
 An implementation of a regularized regression prediction and empirical Bayes
 method to recover the true gene expression profile in noisy and sparse
 single-cell RNA-seq data. See Huang M, et al (2018)
 <doi:10.1038/s41592-018-0033-z> for more details.

Package: r-cran-saves
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-saves_0.5-1.ca2004.1_all.deb
Size: 195604
MD5sum: d0377062aaa5f0012962b743e2eae7fa
SHA1: c52019fb0417c05140ef8496c1f323fc63451cc3
SHA256: 9511926338aba5ac513862e839edec779f8cc436d5c2a79900f4bb77e9bb2bdd
SHA512: 5874635e5fbe41df2d44136f2836608ba8d698f2c5bc075acf8562c9a91acd12a9b578fefb302e3b97cc4bc5d83fec1574634dd86ef197b254290b90cf712d56
Homepage: https://cran.r-project.org/package=saves
Description: CRAN Package 'saves' (Fast load variables)
 The purpose of this package is to be able to save and load only the needed
 variables/columns of a dataframe in special binary files (tar archives) -
 which seems to be a lot faster method than loading the whole binary object
 (RData files) via load() function, or than loading columns from SQLite/MySQL
 databases via SQL commands (see vignettes). Performance gain on SSD drives
 is a lot more sensible compared to basic load() function. The performance
 improvement gained by loading only the chosen variables in binary format can
 be useful in some special cases (e.g. where merging data tables is not an
 option and very different datasets are needed for reporting), but be sure if
 using this package that you really need this, as non-standard file formats
 are used!

Package: r-cran-savonliquide
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-htmltools, r-cran-httr, r-cran-crayon
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-savonliquide_0.2.0-1.ca2004.1_all.deb
Size: 36984
MD5sum: e6c9910ba549e1bbd351f566b1114c5c
SHA1: caed3c7a29fb8aa54af900a03d52326d6dea8f51
SHA256: 5589157697ca616634a48caea29c80e5fae2b2a01e4d1207e64dd08d14994a4e
SHA512: b7fb7296befcac616fbe5020375c899f3aefd2faab35f50a5255ff0db15213c843d37a377e7a491d38548a419daadc7147c0b48aa3754eea1cef62afa9f3495a
Homepage: https://cran.r-project.org/package=savonliquide
Description: CRAN Package 'savonliquide' (Accessibility Toolbox for 'R' Users)
 Provides a toolbox that allows the user to implement accessibility related
 concepts.

Package: r-cran-savvyr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-etm, r-cran-rdpack
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-savvyr_0.1.2-1.ca2004.1_all.deb
Size: 653368
MD5sum: 61a4e634bde481be8a0a5dad37e28c7e
SHA1: 51600caa1db75d26a4ed7ec53809fa9c1729d64d
SHA256: 6fff0ad419e447487535abc41748f9611783473d352a568805c55a5173b39920
SHA512: eff1cb94fe02a8a28fcfbbc3733938c75e3853b4e9fdda5be7ff1ac8801746d0e7113a1271c939ae1ac16f8d2a5d5d9f3d39ef240f18d227b5e8443f3305499b
Homepage: https://cran.r-project.org/package=savvyr
Description: CRAN Package 'savvyr' (Survival Analysis for AdVerse Events with VarYing Follow-UpTimes)
 The SAVVY (Survival Analysis for AdVerse Events with VarYing Follow-Up
 Times) project is a consortium of academic and pharmaceutical industry
 partners that aims to improve the analyses of adverse event (AE) data in
 clinical trials through the use of survival techniques appropriately dealing
 with varying follow-up times and competing events, see Stegherr, Schmoor,
 Beyersmann, et al. (2021) <doi:10.1186/s13063-021-05354-x>.  Although
 statistical methodologies have advanced, in AE analyses often the incidence
 proportion, the incidence density or a non-parametric Kaplan-Meier estimator
 are used, which either ignore censoring or competing events. This package
 contains functions to easily conduct the proposed improved AE analyses.

Package: r-cran-sawnuti
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sawnuti_0.1.1-1.ca2004.1_all.deb
Size: 30416
MD5sum: 102790cce929a6274f59b7a38797acd7
SHA1: 37e93b95f17973cdd92f2acc1c5876c1dafc2e68
SHA256: 4803135ec28c5258354fe44f666016e7c08cf2312d8725d45adcef859b719d92
SHA512: 2476a5e04e03d9fa86d356f9ab2bc47cac0c82addc09b03a18afe5e3cf656e58a2ce3328aae91bc2c112914e9977ca6adde44b27ba47033c60758bbe9303c61e
Homepage: https://cran.r-project.org/package=sawnuti
Description: CRAN Package 'sawnuti' (Comparing Sequences with Non-Uniform Time Intervals)
 The SAWNUTI algorithm performs sequence comparison for finite sequences of
 discrete events with non-uniform time intervals. Further description of the
 algorithm can be found in the paper: A. Murph, A. Flynt, B. R. King (2021).
 Comparing finite sequences of discrete events with non-uniform time
 intervals, Sequential Analysis, 40(3), 291-313.
 <doi:10.1080/07474946.2021.1940491>.

Package: r-cran-saws
Architecture: all
Version: 0.9-7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gee
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-saws_0.9-7.0-1.ca2004.1_all.deb
Size: 340836
MD5sum: f4769134e17751db3b951f06fe29fc1e
SHA1: 9e4248ce76ffd86ad7d29421bb78b7c850a2ac81
SHA256: 571096754d131bfdc9d27f545b153e22546af93b4eb9a5b40c603278f1f9c35d
SHA512: 56f33b034d94883b7c5a2bb6c63f3a23f8249d1ec65fad935ff43cdaa6b8a83336b81653360f18e562ae5b47a2033e4c7c1013c6d9330556aa1d940fd66a2e3a
Homepage: https://cran.r-project.org/package=saws
Description: CRAN Package 'saws' (Small-Sample Adjustments for Wald Tests Using SandwichEstimators)
 Tests coefficients with sandwich estimator of variance and with small
 samples. Regression types supported are gee, linear regression, and
 conditional logistic regression.

Package: r-cran-sazedr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bspec, r-cran-dplyr, r-cran-fftwtools, r-cran-pracma, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-sazedr_2.0.2-1.ca2004.1_all.deb
Size: 42108
MD5sum: 7a6908e4cb90c7d3dc8eb55c63f6dea9
SHA1: cdd05aab051e1d9647ad0e738c29ad93a864d11b
SHA256: 71ab84578f077472fb0f3eb3484c4096b0a96943faf387809f8945b560362617
SHA512: c56a2d11ba693f2983dfea0dbc5e2f7956093f61690360224867416cd8a3ebc0d76048bcda84b693cbd1609d044c560edbdb8c2b66a29c47e4d5fdf861d6c1a4
Homepage: https://cran.r-project.org/package=sazedR
Description: CRAN Package 'sazedR' (Parameter-Free Domain-Agnostic Season Length Detection in TimeSeries)
 Spectral and Average Autocorrelation Zero Distance Density ('sazed') is a
 method for estimating the season length of a seasonal time series. 'sazed'
 is aimed at practitioners, as it employs only domain-agnostic preprocessing
 and does not depend on parameter tuning or empirical constants. The
 computation of 'sazed' relies on the efficient autocorrelation computation
 methods suggested by Thibauld Nion (2012, URL:
 <https://etudes.tibonihoo.net/literate_musing/autocorrelations.html>) and by
 Bob Carpenter (2012, URL:
 <https://lingpipe-blog.com/2012/06/08/autocorrelation-fft-kiss-eigen/>).

Package: r-cran-sbagm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msgarch, r-cran-forecast, r-cran-rugarch
Filename: pool/dists/focal/main/r-cran-sbagm_0.1.0-1.ca2004.1_all.deb
Size: 27832
MD5sum: e3eeb42f539474eccd434f5128243358
SHA1: f3bb0f03334fc682a253f117f9c5d2105cc0d488
SHA256: 1326260303cf2bab753116147deee6020686b087ec37d97598150ccd20a8178a
SHA512: 2fd80114472ecfcf3597e5e9ca7912c34157f54de5a2d0e3eafd51cd0a1cc05d39e1bf9cfe045389c86d7053295bf656f38990c69dc93fc6f7c144f2c80a6e82
Homepage: https://cran.r-project.org/package=SBAGM
Description: CRAN Package 'SBAGM' (Search Best ARIMA, GARCH, and MS-GARCH Model)
 Get the most appropriate autoregressive integrated moving average,
 generalized auto-regressive conditional heteroscedasticity and Markov
 switching GARCH model. For method details see Haas M, Mittnik S, Paolella MS
 (2004). <doi:10.1093/jjfinec/nbh020>, Bollerslev T (1986).
 <doi:10.1016/0304-4076(86)90063-1>.

Package: r-cran-sbd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bbmle, r-cran-mass, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-sbd_0.1.0-1.ca2004.1_all.deb
Size: 64452
MD5sum: b85db75aa3da1650387914139f6edb49
SHA1: 63384d814ebddb22054a429235cdafa009fda58f
SHA256: e2fe1859cd16d2dc03c5d94ecf790cba838a135037ba24263680133ecb2f8ff9
SHA512: 6d643c3cc41abdd2eec94cbeb3daaed0035be2783412fb4e65ec0f366da42991a72ecfc8a11ad88a2a49cf009ceed4e9ca3c2cd5576d65c2f7681a7c83da0bb4
Homepage: https://cran.r-project.org/package=sbd
Description: CRAN Package 'sbd' (Size Biased Distributions)
 Fitting and plotting parametric or non-parametric size-biased non-negative
 distributions, with optional covariates if parametric.  Rowcliffe, M. et al.
 (2016) <doi:10.1002/rse2.17>.

Package: r-cran-sbdecomp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-twang, r-cran-survey
Filename: pool/dists/focal/main/r-cran-sbdecomp_1.2-1.ca2004.1_all.deb
Size: 70660
MD5sum: bd0588cfe6a4e1fb250bd56c6e1839ac
SHA1: 85ae5476f8c921182a8394beaad4d53b5ae2f67f
SHA256: e7863c656d69da335057c9cca01e3ca6b47eda88c99e85826e6bfa5d83d932bf
SHA512: 493ee78169b21db982e97ed1b17bd05874ac654d7d553a730c1cad48561d1bdd4fc213c27e572583e95166af966eaa34b1e2a742f00307af51c59f7e06e60a3c
Homepage: https://cran.r-project.org/package=SBdecomp
Description: CRAN Package 'SBdecomp' (Estimation of the Proportion of SB Explained by Confounders)
 Uses parametric and nonparametric methods to quantify the proportion of the
 estimated selection bias (SB) explained by each observed confounder when
 estimating propensity score weighted treatment effects. Parast, L and
 Griffin, BA (2020). "Quantifying the Bias due to Observed Individual
 Confounders in Causal Treatment Effect Estimates". Statistics in Medicine,
 39(18): 2447- 2476 <doi: 10.1002/sim.8549>.

Package: r-cran-sbf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sbf_1.1.1-1.ca2004.1_all.deb
Size: 25652
MD5sum: a2e97365e8fa784f0d66f5c6678f04e5
SHA1: 91b0efa8c904aab824d57e03c657ec48b8659f31
SHA256: 5e34c34a45bcbe2d0aef0350ec03b02dcf47b31050468a7dfb2f5c6cbe29792c
SHA512: 61a9056c54eb022cb1e0735c765a016d39983109c52efa59a41fefc0bf9ab371f4006751c6c0341ce17cfd199df4ddef568ed1b611e4a5526fc5bb74b3d24a68
Homepage: https://cran.r-project.org/package=sBF
Description: CRAN Package 'sBF' (Smooth Backfitting)
 Smooth Backfitting for additive models using Nadaraya-Watson estimator

Package: r-cran-sbgcop
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sbgcop_1.0-1.ca2004.1_all.deb
Size: 43180
MD5sum: bc1c453f5a2b750e1f968a1ffbd61ba9
SHA1: 547b994e323af539f08240d7cd58fe8ff90447cf
SHA256: 19caec882940fc34b07ab5fc2ad6781e8262127e2b434f1e31c986388d046c9f
SHA512: 9965c604869763fc3633d4930cbbf08085f07d3b71c3583c88e71b5c8fc18a91312c896f46cf03ca63b54b2b37ef97d7bcc4475a6574677c03834e26abe46a37
Homepage: https://cran.r-project.org/package=sbgcop
Description: CRAN Package 'sbgcop' (Semiparametric Bayesian Gaussian Copula Estimation andImputation)
 Estimation and inference for parameters in a Gaussian copula model, treating
 the univariate marginal distributions as nuisance parameters as described in
 Hoff (2007) <doi:10.1214/07-AOAS107>.  This package also provides a
 semiparametric imputation procedure for missing multivariate data.

Package: r-cran-sbi
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sbi_0.1.2-1.ca2004.1_all.deb
Size: 20108
MD5sum: 4da3fc920b427254568fdc5d4017de57
SHA1: 6de55dcec6298d23fa3ec78c1a854498a1fe7a6f
SHA256: c2e856e7ae79e5f29d00e45a4974a378c4e510228463e90ec902ac29fdd9cb46
SHA512: 4ee90ac876e55a8d6345d90365ecea25223632104b213a00b597460ced8609254bf94077c9cb53793d8e23c98776cc7332c19d2fc0ca9598b98ece3929b27a93
Homepage: https://cran.r-project.org/package=SBI
Description: CRAN Package 'SBI' (Simple Blinding Index for Randomized Controlled Trials)
 Computes a simple blinding index for randomized controlled trials introduced
 in Petroff, Bacak, Dagres, Dilk, Wachter: A simple blinding index for
 randomized controlled trials. Contemp Clin Trials Commun. 2024 Nov
 26;42:101393. <doi:10.1016/j.conctc.2024.101393>. PMID: 39686958.

Package: r-cran-sbicgraph
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-network
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sbicgraph_1.0.0-1.ca2004.1_all.deb
Size: 58176
MD5sum: 4680a81e7554d4bcf09b5b8671c1e7ca
SHA1: 7a35a521f148de28ab3241b64bea461193ffdf0b
SHA256: 9d581749e93783ba172c222b854b2816b56064ac2f74c3175a4f71a07934cdea
SHA512: 224f4fad35d554cf8795616fe866dabe59312f1029638657c9348dedab0bf0f1ae5349a3c9cd4e01e185ef4055c17d305064a955698643fb0e2d155ce7a672e0
Homepage: https://cran.r-project.org/package=SBICgraph
Description: CRAN Package 'SBICgraph' (Structural Bayesian Information Criterion for Graphical Models)
 This is the implementation of the novel structural Bayesian information
 criterion by Zhou, 2020 (under review).  In this method, the prior structure
 is modeled and incorporated into the Bayesian information criterion
 framework.  Additionally, we also provide the implementation of a two-step
 algorithm to generate the candidate model pool.

Package: r-cran-sbl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 796
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sbl_0.1.0-1.ca2004.1_all.deb
Size: 235512
MD5sum: 0cc6041c5b39f4d82c6780a497329478
SHA1: d58c7a1dc61cc7848ec942572190b80d7b9db6f3
SHA256: a64a72affd5e600db6c6a9107a874a3c1a9adc4770ccfad437397223c4807c80
SHA512: f21808115da6b4ed32021d0aa3da5588b71b4001e40250ad5300288a7e555493d18a77b5d2362688aa1142a11994486b09af921c908b9774e49f890d82b9327f
Homepage: https://cran.r-project.org/package=sbl
Description: CRAN Package 'sbl' (Sparse Bayesian Learning for QTL Mapping and Genome-WideAssociation Studies)
 Implements sparse Bayesian learning method for QTL mapping and genome-wide
 association studies.

Package: r-cran-sbmsplitmerge
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 502
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sbmsplitmerge_1.1.1-1.ca2004.1_all.deb
Size: 313856
MD5sum: ad490660fcde2fa0b6f26f638a57f07d
SHA1: 2959f5d7d8949c6707bd1d1ac22ec801d405d9ad
SHA256: eabae7b6cdee542034d552b16d0e18e85e6ef00fd3a6947ace24762fdafc83ce
SHA512: 63772197355d12733a23f4bb933595f41d4f6e2071b9f2683ab7a322bc63443fe9b9f379c143c36fba47badc8f44b4182abbe9141c9afaf8dff3aa29a408b201
Homepage: https://cran.r-project.org/package=SBMSplitMerge
Description: CRAN Package 'SBMSplitMerge' (Inference for a Generalised SBM with a Split Merge Sampler)
 Inference in a Bayesian framework for a generalised stochastic block model.
 The generalised stochastic block model (SBM) can capture group structure in
 network data without requiring conjugate priors on the edge-states. Two
 sampling methods are provided to perform inference on edge parameters and
 block structure: a split-merge Markov chain Monte Carlo algorithm and a
 Dirichlet process sampler. Green, Richardson (2001)
 <doi:10.1111/1467-9469.00242>; Neal (2000)
 <doi:10.1080/10618600.2000.10474879>; Ludkin (2019) <arXiv:1909.09421>.

Package: r-cran-sbn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-sbn_1.0.0-1.ca2004.1_all.deb
Size: 292520
MD5sum: 3767f4d9ac248ac8098b1086149b46ec
SHA1: bc7a5f9c9815b7c5d5bd9d420a6a4db232318257
SHA256: 8e57bad41d56b84bdae2be8888125f8dc0c31100a6552f50e036edef522f270d
SHA512: b82e89c38f15560ca5cce91d2257957aeb5189590e011a7751f778bd413aba5960895e6dbfe9cb4c39f105db865a3ae217c499bf2be36516cd82fa0b6a0ce567
Homepage: https://cran.r-project.org/package=SBN
Description: CRAN Package 'SBN' (Generate Stochastic Branching Networks)
 Generate Stochastic Branching Networks ('SBNs'). Used to model the branching
 structure of rivers.

Package: r-cran-sbrect
Architecture: all
Version: 0.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-sbrect_0.26-1.ca2004.1_all.deb
Size: 31952
MD5sum: 89bb06182ea40f0d180127391292e142
SHA1: 57e3e516284bffb6c77633f2d1a417dde7d331fa
SHA256: 0e649d928aae43b3e262f34cc8a2101201c0d07325ce6725b89fd426bcd913a6
SHA512: 1d481d2c22679c10bba1b328a8d45a7d25d36406c4d423cab7a8f6ac2555223601a3e2ec1d1c2e3b1ad67dae40e109c62b889e8db1ec16b4e4403418f975a660
Homepage: https://cran.r-project.org/package=SBRect
Description: CRAN Package 'SBRect' (Detecting structural breaks using rectangle covering(non-parametric method))
 The package uses fitting axes-aligned rectangles to a time series in order
 to find structural breaks. The algorithm enclose the time series in a number
 of axes-aligned rectangles and tries to minimize their area and number. As
 these are conflicting aims, the user has to specify a parameter alpha in
 [0.0,1.0]. Values close to 0 result in more breakpoints, values close to 1
 in fewer. The left edges of the rectangles are the breakpoints. The package
 supplies two methods, computeBreakPoints(series,alpha) which returns the
 indices of the break points and computeRectangles(series,alpha) which
 returns the rectangles. The algorithm is randomised; it uses a genetic
 algorithm. Therefore, the break point sequence found can be different in
 different executions of the method on the same data, especially when used on
 longer series of some thousand observations. The algorithm uses a range-tree
 as background data structure which makes i very fast and suited to analyse
 series with millions of observations. A detailed description can be found in
 Paul Fischer, Astrid Hilbert, Fast detection of structural breaks,
 Proceedings of Compstat 2014.

Package: r-cran-sbsdiff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sbsdiff_0.1.0-1.ca2004.1_all.deb
Size: 13500
MD5sum: 276195457799e8fb91515abc1e12fdbe
SHA1: a3a81d51eb9c64e8d166a22427b3fff8c3999720
SHA256: afdac09e71e00b123facfa3ea73467f153b4f2f43235727f05b973c12550551c
SHA512: 0f100c0c88af06857227e5e95ce252731d5edd439b515d3c90557c364cbf2a9a6a21421d2be29cc91e628a0d94b38bb1d4fde12bee76438e554e3d0bce9a2728
Homepage: https://cran.r-project.org/package=SBSDiff
Description: CRAN Package 'SBSDiff' (Satorra-Bentler Scaled Chi-Squared Difference Test)
 Calculates a Satorra-Bentler scaled chi-squared difference test between
 nested models that were estimated using maximum likelihood (ML) with robust
 standard errors, which cannot be calculated the traditional way. For details
 see Satorra & Bentler (2001) <doi:10.1007/bf02296192> and Satorra & Bentler
 (2010) <doi:10.1007/s11336-009-9135-y>. This package may be particularly
 helpful when used in conjunction with 'Mplus' software, specifically when
 implementing the complex survey option. In such cases, the model estimator
 in 'Mplus' defaults to ML with robust standard errors.

Package: r-cran-sbtools
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-curl, r-cran-httr, r-cran-mime, r-cran-cli, r-cran-keyring
Suggests: r-cran-testthat, r-cran-xml2, r-cran-sf, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sbtools_1.3.2-1.ca2004.1_all.deb
Size: 306964
MD5sum: ac9320f6e0b6c9897af92ada038613b6
SHA1: 3e5f45b99d7f4a0fd479ce8c45264eb107a04dc9
SHA256: b40c89dbadb5a7f819899f0c6b3b5780a031c90003b07d9f72a7f3e53d3bccf6
SHA512: 91859fb541361a604174f01957c490c935ed7b7851a38ada13f206d01f20b8120588e0043f6fce1b4b00811179e069f42fa6bd166a1704b6ec42bdc035a55a58
Homepage: https://cran.r-project.org/package=sbtools
Description: CRAN Package 'sbtools' (USGS ScienceBase Tools)
 Tools for interacting with U.S. Geological Survey ScienceBase
 <https://www.sciencebase.gov> interfaces. ScienceBase is a data cataloging
 and collaborative data management platform. Functions included for querying
 ScienceBase, and creating and fetching datasets.

Package: r-cran-sbw
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-quadprog, r-cran-slam, r-cran-mass, r-cran-spatstat.univar
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sbw_1.1.9-1.ca2004.1_all.deb
Size: 161564
MD5sum: acf47a1089c0367b6d3dcd644c83e555
SHA1: f63b204a99cced1c8cdd49045786eb75921b22c2
SHA256: c307735b4859768a776bf28d51899c234df1078fa06d07321959e6f25403c1bb
SHA512: e8282dde104316f0dadad410e32266e7a14f0f4f81fc37dce3cb67157c6ce1b4cb444c147089c12787348cb5d954e8f78256dae7731a894b31c2014b9e13519d
Homepage: https://cran.r-project.org/package=sbw
Description: CRAN Package 'sbw' (Stable Balancing Weights for Causal Inference and Missing Data)
 Implements the Stable Balancing Weights by Zubizarreta (2015)
 <DOI:10.1080/01621459.2015.1023805>. These are the weights of minimum
 variance that approximately balance the empirical distribution of the
 observed covariates. For an overview, see Chattopadhyay, Hase and
 Zubizarreta (2020) <DOI:10.1002/sim.8659>. To solve the optimization problem
 in 'sbw', the default solver is 'quadprog', which is readily available
 through CRAN. The solver 'osqp' is also posted on CRAN. To enhance the
 performance of 'sbw', users are encouraged to install other solvers such as
 'gurobi' and 'Rmosek', which require special installation. For the
 installation of gurobi and pogs, please follow the instructions at
 <https://www.gurobi.com/documentation/current/refman/r_ins_the_r_package.html>
 and <http://foges.github.io/pogs/stp/r>.

Package: r-cran-sc2api
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-httptest, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sc2api_1.0.0-1.ca2004.1_all.deb
Size: 120864
MD5sum: ffe4b725bfa21f77d4b342b4df4893a0
SHA1: 0ef99252a6dd4c109b7f82214a8270561355e035
SHA256: 0f9f056c9b5d090433d8c02156b85d5b81d5287f62c0d3ea1d812daf33678123
SHA512: 93db56cc482f41772ddab51437591140470188708dd6819e924542cace8b7f6c749e29db3e2b2379e546752c2f6c7b49abe6508fb49024311d50ec4bb4966a29
Homepage: https://cran.r-project.org/package=SC2API
Description: CRAN Package 'SC2API' (Blizzard SC2 API Wrapper)
 A wrapper for Blizzard's Starcraft II (a 2010 real-time strategy game)
 Application Programming Interface (API). All documented API calls are
 implemented in an easy-to-use and consistent manner.

Package: r-cran-sc2sc
Architecture: all
Version: 0.0.1-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2382
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sc2sc_0.0.1-17-1.ca2004.1_all.deb
Size: 2405460
MD5sum: 1d4c9fddebce17f8898c01b95ae91503
SHA1: 48cd049692eae81fb55faf62f10ab59ed92df53c
SHA256: 0df1025c00ca8f8ec736d6db0983ca31330f0caa6cb66d95eaed989dd2b950fb
SHA512: ee6d7c9c0a508ca14790f5ec6d467f57843cc74f5f82b2fcb2cb280eb3c163214779d176b6be6cde40900c3016972b888ef393460590821849f44232a8c8da12
Homepage: https://cran.r-project.org/package=sc2sc
Description: CRAN Package 'sc2sc' (Spatial Transfer of Statistics among Spanish Census Sections)
 Transfers/imputes statistics among Spanish spatial polygons (census sections
 or postal code areas) from different moments in time (2001-2023) without
 need of spatial files, just linking statistics to the ID codes of the
 spatial units.  The data available in the census sections of a
 partition/division (cartography) into force in a moment of time is
 transferred to the census sections of another partition/division employing
 the geometric approach (also known as areal weighting or polygon overlay).
 References: Goerlich (2022) <doi:10.12842/WPIVIE_0322>.  Pavía and Cantarino
 (2017a, b) <doi:10.1111/gean.12112>, <doi:10.1016/j.apgeog.2017.06.021>.
 Pérez and Pavía (2024a, b) <doi:10.4995/CARMA2024.2024.17796>,
 <doi:10.38191/iirr-jorr.24.057>.  Acknowledgements: The authors wish to
 thank Consellería de Educación, Universidades y Empleo, Generalitat
 Valenciana (grant AICO/2021/257), Ministerio de Economía e Innovación (grant
 PID2021-128228NB-I00) and Fundación Mapfre for supporting this research.

Package: r-cran-sca
Architecture: all
Version: 0.9-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-sca_0.9-2-1.ca2004.1_all.deb
Size: 95600
MD5sum: 7edbd6e824d506081fbbcbceb7dc2932
SHA1: 9b0cee5195c6bda95c1f7ade189e68bec60115ec
SHA256: c33ef25f8224209296e8fd4d6cecf99b176dea6c08383e23f50d2c78d0b57d74
SHA512: e2d52fbcd7bf1cd13477063ab7cb35a0929d5784e7b48939dd4c66c4972d79573da216965cf5392e3c5a474d4f0a2fa4f451540dd6dddd44c7bd70d761cb5f14
Homepage: https://cran.r-project.org/package=sca
Description: CRAN Package 'sca' (Simple Component Analysis)
 Simple Component Analysis (SCA) often provides much more interpretable
 components than Principal Components (PCA) while still representing much of
 the variability in the data.

Package: r-cran-scaffolder
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-stringr, r-cran-tensorflow
Filename: pool/dists/focal/main/r-cran-scaffolder_0.0.1-1.ca2004.1_all.deb
Size: 56308
MD5sum: c25bc6c465bfb608fd25a5f73008e871
SHA1: 9d40992b45208a99e60b6d93cd84ea3283a6e62f
SHA256: af594aac9af31fd5ac6659ce2fa10da4df19a09616c85a934396d0840bd4337b
SHA512: 38bdda7b721ca3cf4e1cb7e0bb4a2873f05a261f33bdd4f52b7e6aaaf05513ed4a0d5b6e553b7f246940847446fe889b34167e0c3d05395c7d1ffaf3855c6f46
Homepage: https://cran.r-project.org/package=scaffolder
Description: CRAN Package 'scaffolder' (Scaffolding Interfaces to Packages in Other ProgrammingLanguages)
 Comprehensive set of tools for scaffolding R interfaces to modules, classes,
 functions, and documentations written in other programming languages, such
 as 'Python'.

Package: r-cran-scagnostics
Architecture: all
Version: 0.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-scagnostics_0.2-6-1.ca2004.1_all.deb
Size: 64784
MD5sum: 7edcf697fa67b2383ce8b8c9ea7d42f3
SHA1: 2a73504c8902e7899947c406bf71250eb0c42ab2
SHA256: 361b1504387eb279b0f1f1b25f744a6605f09376605e92e9d7280e793df240d1
SHA512: 23eeb073499bf13c4ea02ed0533ad3916167f51cfd9a9041f5584c0703d9d1533503c9ea792ed134424f41d5d88d7f77ff6bf95b7fc8972c0a52cd20c612535e
Homepage: https://cran.r-project.org/package=scagnostics
Description: CRAN Package 'scagnostics' (Compute scagnostics - scatterplot diagnostics)
 Calculates graph theoretic scagnostics. Scagnostics describe various
 measures of interest for pairs of variables, based on their appearance on a
 scatterplot.  They are useful tool for discovering interesting or unusual
 scatterplots from a scatterplot matrix, without having to look at every
 individual plot.

Package: r-cran-scalealign
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tam, r-cran-mass, r-cran-catr
Filename: pool/dists/focal/main/r-cran-scalealign_1.0.0.0-1.ca2004.1_all.deb
Size: 41892
MD5sum: e0756d933326f5ed06757ac72dc6845e
SHA1: 3f57bb122142a4fffb9d4773b241783adc60523d
SHA256: 0b61fb3f816027c830e7a5158367945be9a1dfd3b90aadc8538e48deca3f8bef
SHA512: 7d514f605dd42a679240ee4b17cc3498a5808b601876cdc1f999d94c11a51e733444777215e69f55e0202e0df09b6fa613688506ee64d336cc53ac3338d97789
Homepage: https://cran.r-project.org/package=scaleAlign
Description: CRAN Package 'scaleAlign' (Scale Alignment for Between-Items Multidimensional Rasch FamilyModels)
 Scale alignment is a new procedure for rescaling dimensions of between-items
 multidimensional Rasch family models so that dimensions scores can be
 compared directly (Feuerstahler & Wilson, 2019; under review)
 <doi:10.1111/jedm.12209>. This package includes functions for implementing
 delta-dimensional alignment (DDA) and logistic regression alignment (LRA)
 for dichotomous or polytomous data. This function also includes a wrapper
 for models fit using the 'TAM' package.

Package: r-cran-scaleboot
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pvclust, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-scaleboot_1.0-1-1.ca2004.1_all.deb
Size: 1530708
MD5sum: dbfd295538dde23e3fe5518eebcc2b9f
SHA1: 368434dca87e0a53d4b21bb0fe53a0cf6ddbd713
SHA256: d3d0c8b6aac6e40fdca980745018e6efa26614007887c2b54a5080f3455eef61
SHA512: 4a49cb02c9f23be8597d722a8832f9a27bb11e7e6b15d3fe081ffdf3334bea66959ccd129a86b537270e842572eb708a132f5dc13237836743233f5996b2de45
Homepage: https://cran.r-project.org/package=scaleboot
Description: CRAN Package 'scaleboot' (Approximately Unbiased P-Values via Multiscale Bootstrap)
 Calculating approximately unbiased (AU) p-values from multiscale bootstrap
 probabilities. See Shimodaira (2004) <doi:10.1214/009053604000000823>,
 Shimodaira (2008) <doi:10.1016/j.jspi.2007.04.001>, Terada ans Shimodaira
 (2017) <arXiv:1711.00949>, and Shimodaira and Terada (2019)
 <doi.org/10.3389/fevo.2019.00174>.

Package: r-cran-scales
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1042
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-farver, r-cran-glue, r-cran-labeling, r-cran-lifecycle, r-cran-r6, r-cran-rcolorbrewer, r-cran-rlang, r-cran-viridislite
Suggests: r-cran-bit64, r-cran-covr, r-cran-dichromat, r-cran-ggplot2, r-cran-hms, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scales_1.4.0-1.ca2004.1_all.deb
Size: 750484
MD5sum: 48416da43d262ea7d8f5228ad15f360e
SHA1: 8efbb275e190f974f887760172cace11c79bae36
SHA256: d0788d7c49b2fa11c9b6095dfeb0535111deea4b4f42ea9c4b817941c34967d8
SHA512: 201dd3ad87ec8f395f51912a791edaf0d8e8e0d28ce0c5a569f9fb73d81ee7d86dcabb879c32a30b04d5f078eb4373ea11a4b90b009654fa671600bb94e89d45
Homepage: https://cran.r-project.org/package=scales
Description: CRAN Package 'scales' (Scale Functions for Visualization)
 Graphical scales map data to aesthetics, and provide methods for
 automatically determining breaks and labels for axes and legends.

Package: r-cran-scalreg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1036
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-scalreg_1.0.1-1.ca2004.1_all.deb
Size: 1028320
MD5sum: 98b07eb6108823d40241a75fa59e5f46
SHA1: c7ba27ddda7b898806369415501fd56a29deba02
SHA256: 9f71816eacb9c52750cd9fdc9e353c6c0fc70a5aff10d3fc3addec6092703a5d
SHA512: 52fc65a4f46bb21c661c42bcb9029b420859b9074ef77b51f25cc97a5baf4d6638e6b78ffa2df08fb585a7f113bd9d551051a5665fe982c16f87e57f88b4c5b1
Homepage: https://cran.r-project.org/package=scalreg
Description: CRAN Package 'scalreg' (Scaled Sparse Linear Regression)
 Algorithms for fitting scaled sparse linear regression and estimating
 precision matrices.

Package: r-cran-scan
Architecture: all
Version: 0.65.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1022
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nlme, r-cran-mcmcglmm, r-cran-car, r-cran-gt, r-cran-knitr, r-cran-kableextra, r-cran-readxl, r-cran-mblm, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-shiny, r-cran-yaml, r-cran-scplot
Filename: pool/dists/focal/main/r-cran-scan_0.65.0-1.ca2004.1_all.deb
Size: 821864
MD5sum: 95eac3f8411b37f9e79d477802965674
SHA1: 2759e291324c0e01ef43852fabd9047ae4c655fb
SHA256: 9fdf83c3ba7adad2b0765a87cfcbc3b8325ac55c0a15b53ec24ecede847f7cd9
SHA512: 2661cd97603384f5a2dbb8eaf02d443e58ea57e7f221a23157597dac18e97bc0dd70d2497cf1c90e318a15e16b67f8ac519493a2963d1cee84b78f494427058b
Homepage: https://cran.r-project.org/package=scan
Description: CRAN Package 'scan' (Single-Case Data Analyses for Single and Multiple BaselineDesigns)
 A collection of procedures for analysing, visualising, and managing
 single-case data. These include piecewise linear regression models,
 multilevel models, overlap indices ('PND', 'PEM', 'PAND', 'PET', 'tau-u',
 'baseline corrected tau', 'CDC'), and randomization tests. Data preparation
 functions support outlier detection, handling missing values, scaling, and
 custom transformations.  An export function helps to generate html, word,
 and latex tables in a publication friendly style. More details can be found
 in the online book 'Analyzing single-case data with R and scan', Juergen
 Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.

Package: r-cran-scannotate
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 914
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-seurat, r-cran-harmony, r-cran-seuratobject
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scannotate_0.3-1.ca2004.1_all.deb
Size: 846732
MD5sum: 4d9efca21b0da5a8405938d7dc3bcdaf
SHA1: cdab1f0805ced6fae7bf040c54c7ac6d9e740c24
SHA256: 35543dfc404f3530f7d52f426828c735d5310e6191f9ff05bbf15fd478d01fbc
SHA512: dbf4125a4a75abf6986300cbafa01d3541eb488a8d86e592dbcb4048615ca952bed143336af1b4d50fe949549bd40f03c953be023753cd022076bddf94af5915
Homepage: https://cran.r-project.org/package=scAnnotate
Description: CRAN Package 'scAnnotate' (An Automated Cell Type Annotation Tool for Single-CellRNA-Sequencing Data)
 An entirely data-driven cell type annotation tools, which requires training
 data to learn the classifier, but not biological knowledge to make
 subjective decisions. It consists of three steps: preprocessing training and
 test data, model fitting on training data, and cell classification on test
 data. See Xiangling Ji,Danielle Tsao, Kailun Bai, Min Tsao, Li Xing, Xuekui
 Zhang.(2022)<doi:10.1101/2022.02.19.481159> for more details.

Package: r-cran-scape
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4481
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coda, r-cran-hmisc, r-cran-lattice
Suggests: r-cran-gdata
Filename: pool/dists/focal/main/r-cran-scape_2.3.5-1.ca2004.1_all.deb
Size: 2724204
MD5sum: 9ca6497d68a1049507200c3b91c51b53
SHA1: 7ab64a8501d8fe154c57aac15e8f3455f0e9c03a
SHA256: 36c2ebd46bcef37a9618ee861db870bfac92b854d8378bd3625a08ed8b9d5325
SHA512: 1d39d5b59278a1f96d9debeb729c483f2ce2538f4840a62f94c973d8b51ea5d7b0478e002292c808fdc1668e17a130c136c329b849de877ad87f8ead7dd27a5d
Homepage: https://cran.r-project.org/package=scape
Description: CRAN Package 'scape' (Statistical Catch-at-Age Plotting Environment)
 Import, plot, and diagnose results from statistical catch-at-age models,
 used in fisheries stock assessment.

Package: r-cran-scaper
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1887
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-xml2, r-cran-stringr, r-cran-dplyr, r-cran-seurat, r-cran-seuratobject, r-cran-vam
Suggests: r-cran-knitr, r-cran-pheatmap, r-cran-rmarkdown, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-scaper_0.2.0-1.ca2004.1_all.deb
Size: 1105148
MD5sum: fbec2c20f996b6601e1b1571b25751be
SHA1: ff83f8ba67a38473526d8356cdabbdcba83aef04
SHA256: 0fbb82903f7bdd00b7222a0f24fe2e05042bd55bcec8c7f83219f14645cf3e73
SHA512: 7214516433b31c07f3a3b93628983e78feac438a20508e02f5cd01a90f983ede8723bb92e41a96eff5881c914b14d5876a7cbf36608169d172f4142750582a70
Homepage: https://cran.r-project.org/package=scaper
Description: CRAN Package 'scaper' (Single Cell Transcriptomics-Level Cytokine Activity Predictionand Estimation)
 Generates cell-level cytokine activity estimates using relevant information
 from gene sets constructed with the 'CytoSig' and the 'Reactome' databases
 and scored using the modified 'Variance-adjusted Mahalanobis (VAM)'
 framework for single-cell RNA-sequencing (scRNA-seq) data. 'CytoSig'
 database is described in: Jiang at al., (2021)
 <doi:10.1038/s41592-021-01274-5>. 'Reactome' database is described in:
 Gillespie et al., (2021) <doi:10.1093/nar/gkab1028>. The 'VAM' method is
 outlined in: Frost (2020) <doi:10.1093/nar/gkaa582>.

Package: r-cran-scapesclassification
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-terra
Suggests: r-cran-gifski, r-cran-knitr, r-cran-leafem, r-cran-leaflet, r-cran-leafpop, r-cran-mapview, r-cran-raster, r-cran-spelling, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scapesclassification_1.0.0-1.ca2004.1_all.deb
Size: 1133412
MD5sum: f48e95463887ea10aa275e890daec5d4
SHA1: 690bc05387698ff736ecdea5597fafe573009a6c
SHA256: fd7b1c6b8eabeb8a2779703396d217f343285af6904518d403737a183f638a73
SHA512: 51fcea9452bdf1d86e17cd7709183881c0d8f3a3aa59a2cd13c184c93c5381664aea547c7d09146b908819f2b4e7bccbcf24454aeb47996032df544dfe8365b8
Homepage: https://cran.r-project.org/package=scapesClassification
Description: CRAN Package 'scapesClassification' (User-Defined Classification of Raster Surfaces)
 Series of algorithms to translate users' mental models of seascapes,
 landscapes and, more generally, of geographic features into computer
 representations (classifications). Spaces and geographic objects are
 classified with user-defined rules taking into account spatial data as well
 as spatial relationships among different classes and objects.

Package: r-cran-scapgnn
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4957
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-activepathways, r-cran-adaptgauss, r-cran-coop, r-cran-igraph, r-cran-mixtools, r-cran-reticulate
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-scapgnn_0.1.4-1.ca2004.1_all.deb
Size: 3063924
MD5sum: 8857fa64ba91e594e2fde104d41f4181
SHA1: 2e0d11aa0248658b78cf2d787e078bc1c9f88ecf
SHA256: a55788e48e51f0f282b4f2d3752c1b12d9bbb70e4d11e851b36af6d06a619cf7
SHA512: 18a0ea896d9f828e1dd843d1dc716444ffda0f1ea621e2e10f532434509a78e4bb305e665b05917f9f42536247eb61c66db0b49a6a0c22baa5e810e1b7d35aca
Homepage: https://cran.r-project.org/package=scapGNN
Description: CRAN Package 'scapGNN' (Graph Neural Network-Based Framework for Single Cell ActivePathways and Gene Modules Analysis)
 It is a single cell active pathway analysis tool based on the graph neural
 network (F. Scarselli (2009) <doi:10.1109/TNN.2008.2005605>; Thomas N. Kipf
 (2017) <arXiv:1609.02907v4>) to construct the gene-cell association network,
 infer pathway activity scores from different single cell modalities data,
 integrate multiple modality data on the same cells into one pathway activity
 score matrix, identify cell phenotype activated gene modules and parse
 association networks of gene modules under multiple cell phenotype. In
 addition, abundant visualization programs are provided to display the
 results.

Package: r-cran-scarabee
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-neldermead, r-cran-optimsimplex, r-cran-optimbase, r-cran-lattice, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scarabee_1.1-4-1.ca2004.1_all.deb
Size: 995092
MD5sum: 36a9ae223a9ebff743a759c9373cfa32
SHA1: 1086d537f4e5bb36bfa6abdc43bfc3439adc0861
SHA256: d24847e5227ec941923d08bba87de9ef045c0cac0c60075502040804768d67d0
SHA512: 979b8aa220a72d6155da91bd92ec2436766108269b451e9dcc115ba03919b008ae394527b91791a0c525a58248de06014da157e3ae0d098c1cf7c22c91711fd6
Homepage: https://cran.r-project.org/package=scaRabee
Description: CRAN Package 'scaRabee' (Optimization Toolkit for Pharmacokinetic-Pharmacodynamic Models)
 A port of the Scarabee toolkit originally written as a Matlab-based
 application. scaRabee provides a framework for simulation and optimization
 of pharmacokinetic-pharmacodynamic models at the individual and population
 level.  It is built on top of the neldermead package, which provides the
 direct search algorithm proposed by Nelder and Mead for model optimization.

Package: r-cran-scatr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jmvcore, r-cran-r6, r-cran-ggplot2, r-cran-cowplot, r-cran-ggstance, r-cran-ggridges
Filename: pool/dists/focal/main/r-cran-scatr_1.0.1-1.ca2004.1_all.deb
Size: 133520
MD5sum: 7901fa2c010e143d19722ecef7612506
SHA1: d758137c83a5a3935dfb03bbf1e80f42280897fe
SHA256: dcb25fb38981481aa4581b1a652b9325c7c7698457b0c5a2a6b9a1f64fbb4b60
SHA512: ca06c0d592b0bf8a1aad530460c74479a7a77f9651b087799dff56159237301f761bd8cbe93a4fae1a97ac69e22bacf89efe946b9e281b8b7f0ecd5d118fec93
Homepage: https://cran.r-project.org/package=scatr
Description: CRAN Package 'scatr' (Create Scatter Plots with Marginal Density or Box Plots)
 Allows you to make clean, good-looking scatter plots with the option to
 easily add marginal density or box plots on the axes. It is also available
 as a module for 'jamovi' (see <https://www.jamovi.org> for more
 information). 'Scatr' is based on the 'cowplot' package by Claus O. Wilke
 and the 'ggplot2' package by Hadley Wickham.

Package: r-cran-scatter
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-scagnostics, r-cran-gensa, r-cran-rjava
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scatter_0.0.1-1.ca2004.1_all.deb
Size: 278876
MD5sum: ad2aa3988d6bee5c695ec13a43e039d4
SHA1: 659b7034d14b54df112c8db7c647cb5bfb1f84af
SHA256: fd85e49c65ef9d31e524ed7c2563a7006594d315f212c2f59c97b28600c64e91
SHA512: df84bb873ba2bdfe003e2d5823c1f2f653e6d7fad34a1dd7dade37554cff5816f5f9acd94fda8750a7fff884476e45f727b9a8b21033057f382901ef61e0bb86
Homepage: https://cran.r-project.org/package=scatteR
Description: CRAN Package 'scatteR' (Generate Instance Space Based on Scagnostics)
 Generate bivariate data based on scatterplot features defined through
 scagnostics. Scagnostics is an exploratory graphical tool that defines nine
 features of a scatterplot based on the characteristics of three geometric
 graphs defined on the scatterplot. The exact calculation of these
 measurements are based on Wilkinson, L., Anand, A., & Grossman, R. (2005)
 <doi:10.1109/INFVIS.2005.1532142>.  Set the required values for the
 scagnostic measurement type and the number of points that are needed to
 generate a bivariate dataset that gives the expected scagnostic
 measurements.

Package: r-cran-scatterbar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-scatterbar_0.1.0-1.ca2004.1_all.deb
Size: 579780
MD5sum: 89893ffa939ebff2e8c1f87328a04738
SHA1: 50e62393cb85bceb8e6ecbe2d30d8a08677ce725
SHA256: b7f605d6967a5b10f700d111e483093bc8bffce51ab863c253c65c0dccbdca7e
SHA512: 8c378cc5cede7bc3dac9d4c4ea6dabe74f9ff3d8d6412769e09904c331348aac9bae095cdc815337a13ef511d216a7436cd57b428aee6376aca8e290aa26c74a
Homepage: https://cran.r-project.org/package=scatterbar
Description: CRAN Package 'scatterbar' (Scattered Stacked Bar Chart Plots)
 Provides a powerful and flexible tool for visualizing proportional data
 across spatially resolved contexts. By combining the concepts of scatter
 plots and stacked bar charts, 'scatterbar' allows users to create scattered
 bar chart plots, which effectively display the proportions of different
 categories at each (x, y) location. This visualization is particularly
 useful for applications where understanding the distribution of categories
 across spatial coordinates is essential. This package features automatic
 determination of optimal scaling factors based on data, customizable scaling
 and padding options for both x and y axes, flexibility to specify custom
 colors for each category, options to customize the legend title, and
 integration with 'ggplot2' for robust and high-quality visualizations. For
 more details, see Velazquez et al. (2024) <doi:10.1101/2024.08.14.606810>.

Package: r-cran-scatterd3
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1014
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-digest, r-cran-ellipse
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scatterd3_1.0.1-1.ca2004.1_all.deb
Size: 158828
MD5sum: 27b5543c1ec327a3e516942644415a3e
SHA1: 97fadc04223efa3c1d07bd2cf9862ac557b59d8d
SHA256: 9863bfcc8ad55b916bc959e8bfad2c8d5508736c9fa2c90d34b114e0ca9e5025
SHA512: 414f7e9d0a40ad9ca832effc99764fb7319a880e1fc986c1447ecc889f83fc5aca87be60014c21534e74fac5b223754c33c7fa3e4859a158ae7bcda42aee98b9
Homepage: https://cran.r-project.org/package=scatterD3
Description: CRAN Package 'scatterD3' (D3 JavaScript Scatterplot from R)
 Creates 'D3' 'JavaScript' scatterplots from 'R' with interactive features :
 panning, zooming, tooltips, etc.

Package: r-cran-scatterpie
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggforce, r-cran-rlang, r-cran-ggfun, r-cran-tidyr, r-cran-dplyr, r-cran-yulab.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-maps, r-cran-scales, r-cran-cli
Filename: pool/dists/focal/main/r-cran-scatterpie_0.2.5-1.ca2004.1_all.deb
Size: 146580
MD5sum: edba332199a81c0be046c0086a590450
SHA1: 1d153914420d30ae3946e89b9d4e24d1e1de95ce
SHA256: a0cbb7b06bbbab71cf13c7a81028dc563699dd9abc85bb50d70eb24b78ed1d59
SHA512: d061bf78be818300587092fc4b3a1cf68a5524dc97941cd7170487ecd6b8cfd1c27b75cd9656d3ec290ebed25f48976986a0616df9ddd9dbb65f269d2de8c18b
Homepage: https://cran.r-project.org/package=scatterpie
Description: CRAN Package 'scatterpie' (Scatter Pie Plot)
 Creates scatterpie plots, especially useful for plotting pies on a map.

Package: r-cran-scatterplot3d
Architecture: all
Version: 0.3-44-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scatterplot3d_0.3-44-1.ca2004.1_all.deb
Size: 349908
MD5sum: 6dd447479c367b70917d7baa40ecd02d
SHA1: 286487346a787a0a6ab83ee0a984e93592698379
SHA256: b9bf11e1ba8f6aea0cbacb494f7985cdc44f8aa47712f39690b558c1dd30f3d6
SHA512: 4beffce08886d70c8633a34f98a877b11b867a9c2421c254c0b13b63fb8551d67a3cb170e9bfce7318be153773995f762086468036365b3a32b26e2d747059e3
Homepage: https://cran.r-project.org/package=scatterplot3d
Description: CRAN Package 'scatterplot3d' (3D Scatter Plot)
 Plots a three dimensional (3D) point cloud.

Package: r-cran-scatterplotmatrix
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scatterplotmatrix_0.3.0-1.ca2004.1_all.deb
Size: 195876
MD5sum: 3be30ee133601127b36a952d161ac946
SHA1: 8b6538c1bd20b6de95d8c7c531c9f2107be70700
SHA256: 1d8da94dce6cbdf7d9edcfdb90d655e4e7d8f3a4089034a534db03277518f884
SHA512: 6b3790c207fe90640b0c29bc6a85a5cfc39c7d46ff76ddf7378b3df6dfa935269530b7bd7917ffcbaf460b0385c80efbf9dd6b0cc4e21b834820ed41dd6c033c
Homepage: https://cran.r-project.org/package=scatterPlotMatrix
Description: CRAN Package 'scatterPlotMatrix' (`htmlwidget` for a Scatter Plot Matrix)
 Create a scatter plot matrix, using `htmlwidgets` package and `d3.js`.

Package: r-cran-scbiclust
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sparcl, r-cran-sigclust
Filename: pool/dists/focal/main/r-cran-scbiclust_1.0.1-1.ca2004.1_all.deb
Size: 64096
MD5sum: 5efa48f1013621c849995a41b4bc6f49
SHA1: cdda0189e84828253dc7094bdfd68679c87683c5
SHA256: 798990e68a1b476fe27dd8f08c175b5be301e2ad30a9745e714840d8c53e30c7
SHA512: 0ea1c1dbe47eabf30b921e0a60c899c6dff7f1f7fa05631f57537773024e9a7f6af05d917675bda075ca1c75dd99076a1de7aa8da35732f240b4da461be54a35
Homepage: https://cran.r-project.org/package=SCBiclust
Description: CRAN Package 'SCBiclust' (Identifies Mean, Variance, and Hierarchically ClusteredBiclusters)
 Identifies a bicluster, a submatrix of the data such that the features and
 observations within the submatrix differ from those not contained in
 submatrix, using a two-step method. In the first step, observations in the
 bicluster are identified to maximize the sum of weighted between cluster
 feature differences. The method is described in Helgeson et al. (2020)
 <doi:10.1111/biom.13136>. 'SCBiclust' can be used to identify biclusters
 which differ based on feature means, feature variances, or more general
 differences.

Package: r-cran-scbio
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 893
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-foreach, r-cran-dosnow, r-cran-raster, r-cran-fields, r-cran-liblinear, r-bioc-limma
Filename: pool/dists/focal/main/r-cran-scbio_0.1.6-1.ca2004.1_all.deb
Size: 877032
MD5sum: 32fcfc9fb28f3a398dc7d1d5d28f0e98
SHA1: 4e8e61f20b50c6e92d3a90a53803d24dd8769d92
SHA256: a5d32a62dc3872c4cb1545ce83143a0b2fb30189bbbf95bf44311dcceafef92d
SHA512: bab52d3774f8ea71f3f9795de2003a9ef2cf39da03dbdd190f21e04373eb23be2be44fd7c8c804c23d3bfaa39d819c6664f75095d72372c78ee0222d241fc61d
Homepage: https://cran.r-project.org/package=scBio
Description: CRAN Package 'scBio' (Single Cell Genomics for Enhancing Cell Composition Inferencefrom Bulk Genomics Data)
 Cellular population mapping (CPM) a deconvolution algorithm in which
 single-cell genomics is required in only one or a few samples, where in
 other samples of the same tissue, only bulk genomics is measured and the
 underlying fine resolution cellular heterogeneity is inferred.

Package: r-cran-scbmeanfd
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-scbmeanfd_1.2.3-1.ca2004.1_all.deb
Size: 674752
MD5sum: 594d55b019b6bc98eec01215bbc2b7c2
SHA1: 408cde7c4593ae3cf132adab6046705a09759cba
SHA256: a71597f77c9f5432403b7683f575ec1fe7fc65e5592d852976867441dd909bcc
SHA512: 0cd284b3e404f5963f0400cfc5d77c2fdfd48b9eba5d37f32636e0982c500db368b2f68ab474ce793ea855d27d681276eb1c5824e3449a0b0f021b456e779add
Homepage: https://cran.r-project.org/package=SCBmeanfd
Description: CRAN Package 'SCBmeanfd' (Simultaneous Confidence Bands for the Mean of Functional Data)
 Statistical methods for estimating and inferring the mean of functional
 data. The methods include simultaneous confidence bands, local polynomial
 fitting, bandwidth selection by plug-in and cross-validation,
 goodness-of-fit tests for parametric models, equality tests for two-sample
 problems, and plotting functions.

Package: r-cran-scbsp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-bioc-sparsematrixstats, r-cran-fitdistrplus, r-cran-rann, r-cran-spam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scbsp_1.0.0-1.ca2004.1_all.deb
Size: 102228
MD5sum: 4b052542dfe5dc7fa86246c87d8d8bd8
SHA1: 20e1089875a2a4d8d0c7778194e6f1cc5ea2c43e
SHA256: 1fbb05f255939fd5d773932df1b1d8b24b74167b67aba7b827a603a633446456
SHA512: 076a0f999a7627c25389bf1314ca901dbd8340a6375b2166c4a4dba8e6c5d3a7c72fd25ff88a43fb8025d80e6837790dca6fd65c5ae82aa93a6d3f13becbc1c1
Homepage: https://cran.r-project.org/package=scBSP
Description: CRAN Package 'scBSP' (A Fast Tool for Single-Cell Spatially Variable GenesIdentifications on Large-Scale Data)
 Identifying spatially variable genes is critical in linking molecular cell
 functions with tissue phenotypes. This package utilizes a granularity-based
 dimension-agnostic tool, single-cell big-small patch (scBSP), implementing
 sparse matrix operation and KD tree methods for distance calculation, for
 the identification of spatially variable genes on large-scale data. The
 detailed description of this method is available at Wang, J.  and Li, J. et
 al. 2023 (Wang, J. and Li, J. (2023), <doi:10.1038/s41467-023-43256-5>).

Package: r-cran-scbursts
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readxl, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-scbursts_1.6-1.ca2004.1_all.deb
Size: 634260
MD5sum: 333bb8ea04134744d40d7e9c2dd57df1
SHA1: 162d8c9ba8bfdaec6a6c984c5fe18195625140ab
SHA256: aaa5333d1e209ffc4326f1a1e93ed4b7eaa4aab98ad1e51f5abadfca008babea
SHA512: 14117780498a5ee2931b0b89c7e566cf00a1a76d53d7d0cc5dfb680ee0dbfbb238b80362788d2fc3059d5f34b5d1dfdb9824b472c2c8d06017e695fbb7aebd4b
Homepage: https://cran.r-project.org/package=scbursts
Description: CRAN Package 'scbursts' (Single Channel Bursts Analysis)
 Provides tools to import and export from several existing pieces of
 ion-channel analysis software such as 'TAC', 'QUB', 'SCAN', and 'Clampfit',
 implements procedures such as dwell-time correction and defining bursts with
 a critical time, and provides tools for analysis of bursts, such as tools
 for sorting and plotting.

Package: r-cran-sccan
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-scdha, r-cran-fnn, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sccan_1.0.5-1.ca2004.1_all.deb
Size: 3347888
MD5sum: 2af56e156519688bb2a028fa8dfac12d
SHA1: 9ae672a2a4adb67a931e6ccf844251477799ad47
SHA256: b013daa95064c5773cded62aa8426df4f3fe13636374a00c1fce81c8b698a3e8
SHA512: 21728fc20e972b78fcaf1ca58ec069fe87140191e774d373b73255b5fc739c043ea1c2d861097096235f28926c3af22662f401122009526a1b119c58131be4c6
Homepage: https://cran.r-project.org/package=scCAN
Description: CRAN Package 'scCAN' (Single-Cell Clustering using Autoencoder and Network Fusion)
 A single-cell Clustering method using 'Autoencoder' and Network fusion
 ('scCAN') Bang Tran (2022) <doi:10.1038/s41598-022-14218-6> for segregating
 the cells from the high-dimensional 'scRNA-Seq' data. The software
 automatically determines the optimal number of clusters and then partitions
 the cells in a way such that the results are robust to noise and dropouts.
 'scCAN' is fast and it supports Windows, Linux, and Mac OS.

Package: r-cran-sccatch
Architecture: all
Version: 3.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2568
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-progress, r-cran-reshape2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-sccatch_3.2.2-1.ca2004.1_all.deb
Size: 2376992
MD5sum: 88eb6eacd7a7217005ecb7d9d1338f06
SHA1: c06b7743f7fb2a468d4755443adfab85bcb62793
SHA256: bf54d90a711cacc02c848267598dd8e21941ac7c7fda1f05c723fcc5263bd204
SHA512: 62bef017dc1bd899b75e8ae424eba86ab0154ef3d6631f17a08ccb70a70393588d97d77147eb0338427bdb79cd19acfa1bee6f86763678303bb3da3c60fea586
Homepage: https://cran.r-project.org/package=scCATCH
Description: CRAN Package 'scCATCH' (Single Cell Cluster-Based Annotation Toolkit for CellularHeterogeneity)
 An automatic cluster-based annotation pipeline based on evidence-based score
 by matching the marker genes with known cell markers in tissue-specific cell
 taxonomy reference database for single-cell RNA-seq data. See Shao X, et al
 (2020) <doi:10.1016/j.isci.2020.100882> for more details.

Package: r-cran-sccca
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-seurat, r-cran-dplyr, r-cran-plyr, r-cran-scales, r-cran-hgnchelper, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-sccca_0.1.1-1.ca2004.1_all.deb
Size: 58976
MD5sum: 367e9132b696f537f92a3b2c71823229
SHA1: 52ec73e421eae591daed4caf790c90079a8900c8
SHA256: 894c16444de954c371c4463e6fc1e1c39c3a2ab2e0a39476934165508804d132
SHA512: 8545a685c7d65072635795b8e13cbd950086c0bd5d381911699d33405b1318b5da1fa16652f8b39401b75f9b5a43fa26753178d47b486ee31e879305d46b6a44
Homepage: https://cran.r-project.org/package=sccca
Description: CRAN Package 'sccca' (Single-Cell Correlation Based Cell Type Annotation)
 Performing cell type annotation based on cell markers from a unified
 database. The approach utilizes correlation-based approach combined with
 association analysis using Fisher-exact and phyper statistical tests (Upton,
 Graham JG. (1992) <DOI:10.2307/2982890>).

Package: r-cran-sccr
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-sccr_2.1-1.ca2004.1_all.deb
Size: 25264
MD5sum: 1eb494522a76816fec63e179c2f6080d
SHA1: 901f12a237dd9a991f36377de82b216b4c78ebe5
SHA256: 48962aa1489ca577517042286e9e28a7ad556ffe651420a2826d06d7c02db9f8
SHA512: ea83b8d0bdf7569622dc3aaa3e71984ea05906ae554d1fd6485ac300ba9525c89243560191f07b71d63aa972afad6ad9f6af2f9735b831e9d83f64a6901c7b36
Homepage: https://cran.r-project.org/package=sccr
Description: CRAN Package 'sccr' (The Self-Consistent, Competing Risks (SC-CR) Algorithms)
 The SC-SR Algorithm is used to calculate fully non-parametric and
 self-consistent estimators of the cause-specific failure probabilities in
 the presence of interval-censoring and possible making of the failure cause
 in a competing risks environment. In the version 2.0 the function creating
 the probability matrix from double-censored data is added.

Package: r-cran-sccs
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-corpcor, r-cran-fda, r-cran-r.methodss3, r-cran-gnm
Filename: pool/dists/focal/main/r-cran-sccs_1.7-1.ca2004.1_all.deb
Size: 616304
MD5sum: 313066171e097d6ea09e1d4e6d9d0bae
SHA1: a115057ec23944e47afe6a21685738ba31a05c69
SHA256: 3a1839f625ffb9a43fa88f0b2c4eb7f84b9e5b0bcbef0ea33a3c2666ae4054e2
SHA512: 44f3e0ae7be2e30c0332be1c95273dff0abb6a5f359c89501559a525dd640995ab6b7506271e508871df5800f9c5ffc412d2ad476bd73dd3150ab990c0c493bd
Homepage: https://cran.r-project.org/package=SCCS
Description: CRAN Package 'SCCS' (The Self-Controlled Case Series Method)
 Various self-controlled case series models used to investigate associations
 between time-varying exposures such as vaccines or other drugs or non drug
 exposures and an adverse event can be fitted. Detailed information on the
 self-controlled case series method and its extensions with more examples can
 be found in Farrington, P., Whitaker, H., and Ghebremichael Weldeselassie,
 Y.  (2018, ISBN: 978-1-4987-8159-6. Self-controlled Case Series studies: A
 modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press) and
 <https://sccs-studies.info/index.html>.

Package: r-cran-sccustomize
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1475
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seurat, r-cran-circlize, r-cran-cli, r-cran-cowplot, r-cran-data.table, r-cran-dplyr, r-cran-forcats, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggprism, r-cran-ggrastr, r-cran-ggrepel, r-cran-glue, r-cran-janitor, r-cran-lifecycle, r-cran-magrittr, r-cran-matrix, r-cran-paletteer, r-cran-patchwork, r-cran-pbapply, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-scattermore, r-cran-seuratobject, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-bioc-biocfilecache, r-bioc-complexheatmap, r-bioc-dittoseq, r-bioc-dropletutils, r-cran-ggpubr, r-cran-hdf5r, r-cran-knitr, r-bioc-nebulosa, r-cran-remotes, r-cran-reticulate, r-cran-rliger, r-cran-rmarkdown, r-bioc-scuttle, r-cran-tidyselect, r-cran-qs, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-sccustomize_3.0.1-1.ca2004.1_all.deb
Size: 1233676
MD5sum: caf2d824f83644ab7e9c29efda350e8e
SHA1: 3262ad33b2fdf7f0b1c8c791f94b838d03fad009
SHA256: d2ccf155c36ba4ddfbee5d12bc131da25a54641627b678d94984af0e324873c5
SHA512: 574693ecee2a1f37540aedca7ca643278c2cf5b3eaa3321434deec5108c5f5ee13a0646a409a02ae8608081d7da95705537f230c7a6f48ae9a4f8ef40f773595
Homepage: https://cran.r-project.org/package=scCustomize
Description: CRAN Package 'scCustomize' (Custom Visualizations & Functions for Streamlined Analyses ofSingle Cell Sequencing)
 Collection of functions created and/or curated to aid in the visualization
 and analysis of single-cell data using 'R'.  'scCustomize' aims to provide
 1) Customized visualizations for aid in ease of use and to create more
 aesthetic and functional visuals. 2) Improve speed/reproducibility of common
 tasks/pieces of code in scRNA-seq analysis with a single or group of
 functions.  For citation please use: Marsh SE (2021) "Custom Visualizations
 & Functions for Streamlined Analyses of Single Cell Sequencing"
 <doi:10.5281/zenodo.5706430> RRID:SCR_024675.

Package: r-cran-scda
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 983
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatialreg, r-cran-sp, r-cran-spdep, r-cran-rlang, r-cran-performance, r-cran-dplyr, r-cran-sf, r-cran-nbclust, r-cran-ggplot2, r-cran-ggspatial
Suggests: r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-scda_0.0.2-1.ca2004.1_all.deb
Size: 925272
MD5sum: c0cb76f44d384db0e40f95b9fa6a998d
SHA1: c559a30892d559d38294169d5c95bccf08a41df1
SHA256: 156e4113b36e53c20037c61a81f341bfe3b10cc18b8a2e58eea3ef3fc58588fa
SHA512: cda5bc46406a4166fff4eead997e79d90d1e4fcb4487a6919e4f2e1b925bd5ee224fd3cfdbbe7a9ca50240261cb78dea5cdea89d342de9c56a788e717a826330
Homepage: https://cran.r-project.org/package=SCDA
Description: CRAN Package 'SCDA' (Spatially-Clustered Data Analysis)
 Contains functions for statistical data analysis based on
 spatially-clustered techniques.  The package allows estimating the
 spatially-clustered spatial regression models presented in Cerqueti,
 Maranzano \& Mattera (2024), "Spatially-clustered spatial autoregressive
 models with application to agricultural market concentration in Europe",
 arXiv preprint 2407.15874 <doi:10.48550/arXiv.2407.15874>.  Specifically,
 the current release allows the estimation of the spatially-clustered linear
 regression model (SCLM), the spatially-clustered spatial autoregressive
 model (SCSAR), the spatially-clustered spatial Durbin model (SCSEM), and the
 spatially-clustered linear regression model with spatially-lagged exogenous
 covariates (SCSLX).  From release 0.0.2, the library contains functions to
 estimate spatial clustering based on Adiajacent Matrix K-Means (AMKM) as
 described in Zhou, Liu \& Zhu (2019), "Weighted adjacent matrix for K-means
 clustering", Multimedia Tools and Applications, 78 (23)
 <doi:10.1007/s11042-019-08009-x>.

Package: r-cran-scdb
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-glue, r-cran-openssl, r-cran-parallelly, r-cran-purrr, r-cran-rlang, r-cran-r6, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-magrittr
Suggests: r-cran-callr, r-cran-conflicted, r-cran-devtools, r-cran-duckdb, r-cran-ggplot2, r-cran-here, r-cran-jsonlite, r-cran-knitr, r-cran-lintr, r-cran-microbenchmark, r-cran-odbc, r-cran-pak, r-cran-rmarkdown, r-cran-roxygen2, r-cran-pkgdown, r-cran-rpostgres, r-cran-rsqlite, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyverse, r-cran-withr
Filename: pool/dists/focal/main/r-cran-scdb_0.5.1-1.ca2004.1_all.deb
Size: 347964
MD5sum: ea1801b4ada974459a9450ad21c9127b
SHA1: e3c5899c7c99f7ed56b0d65da13d224c46a2e39d
SHA256: fbc10e4abc7adc53eaa80e7c03858fdd91b8c616b521d3444eed2378a0346b18
SHA512: 15b2eb865cc2b71f837e950475d8090d80961da02c9701576ca67fe0759531683bcb12166e19e46a74217cee84ab8af668dcdd0f9d4581b7f65aac3582726429
Homepage: https://cran.r-project.org/package=SCDB
Description: CRAN Package 'SCDB' (Easily Access and Maintain Time-Based Versioned Data(Slowly-Changing-Dimension))
 A collection of functions that enable easy access and updating of a database
 of data over time.  More specifically, the package facilitates type-2
 history for data-warehouses and provides a number of Quality of life
 improvements for working on SQL databases with R.  For reference see Ralph
 Kimball and Margy Ross (2013, ISBN 9781118530801).

Package: r-cran-scdeco
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rjags, r-cran-msm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scdeco_0.1.1-1.ca2004.1_all.deb
Size: 83932
MD5sum: f8313ab4b7c34ac324caa9eb72fdafea
SHA1: 7e1d076e4b626dbec5ba2ffbe881ffab9acce28b
SHA256: 0fee411a8d2d84cb45b8b40bef72bf1ee0aa95683d2f84d870b223c75b808ff3
SHA512: 57e2b36384773a145c7ef55b639e81626ac1564df8cd0f42674f9c21b85f375e2ab88da9b032daf08f96eed150113a8486799877735e89a422800a31c947bf37
Homepage: https://cran.r-project.org/package=scDECO
Description: CRAN Package 'scDECO' (Estimating Dynamic Correlation)
 Implementations for two different Bayesian models of differential
 co-expression. scdeco.cop() fits the bivariate Gaussian copula model from
 Zichen Ma, Shannon W. Davis, Yen-Yi Ho (2023) <doi:10.1111/biom.13701>,
 while scdeco.pg() fits the bivariate Poisson-Gamma model from Zhen Yang,
 Yen-Yi Ho (2022) <doi:10.1111/biom.13457>.

Package: r-cran-scdeconr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2479
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-bioc-edger, r-cran-foreach, r-cran-ggplot2, r-cran-seurat, r-cran-data.table, r-cran-gtools, r-cran-harmony, r-cran-mass, r-cran-matrix, r-cran-nmf, r-cran-reshape2, r-bioc-biobase, r-cran-mgcv, r-bioc-glmgampoi
Suggests: r-cran-fardeep, r-cran-reticulate, r-cran-plotly, r-bioc-deseq2, r-cran-knitr, r-bioc-limma, r-cran-nnls, r-bioc-preprocesscore, r-cran-rmarkdown, r-bioc-scater, r-bioc-scran, r-bioc-singlecellexperiment, r-cran-dofuture, r-cran-future, r-cran-sctransform, r-bioc-linnorm
Filename: pool/dists/focal/main/r-cran-scdeconr_1.0.0-1.ca2004.1_all.deb
Size: 1406088
MD5sum: 2caf2cff117b346fa22d9414bf4ac8b3
SHA1: 698a6188116deb98481c52750529ed080af23b5f
SHA256: dc1ca408b314d9b47eb085417595fa84e8c5eadd122c46e29afb11cf84dc1199
SHA512: 10489f1bdb0786a7b49bbbfbd4113ad9296631cb9a286b426bd377858050a7c366c2b1290903a6e04b790c15d27ae2939c88b394213011bc523e1f8fea817229
Homepage: https://cran.r-project.org/package=SCdeconR
Description: CRAN Package 'SCdeconR' (Deconvolution of Bulk RNA-Seq Data using Single-Cell RNA-SeqData as Reference)
 Streamlined workflow from deconvolution of bulk RNA-seq data to downstream
 differential expression and gene-set enrichment analysis. Provide various
 visualization functions.

Package: r-cran-scdensity
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2883
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-lpsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scdensity_1.0.3-1.ca2004.1_all.deb
Size: 1057224
MD5sum: cb52eefbff2bf9e5d89ce83b24c30081
SHA1: 8ac38322f65bf1dfcca753eca9e6e61114b1cb66
SHA256: da5e5019b1f63b8877167641f520140b1ab837a7a4e056df9544496960c6e57b
SHA512: ea9740c3f60d5c355e945bb359967138c7a4c46062d28fd197571e0e26937f9b7c158ffa2807e85a785aeebc5e48f67a7ab90d5fc7cb94ef6090417629af56d4
Homepage: https://cran.r-project.org/package=scdensity
Description: CRAN Package 'scdensity' (Shape-Constrained Kernel Density Estimation)
 Implements methods for obtaining kernel density estimates subject to a
 variety of shape constraints (unimodality, bimodality, symmetry, tail
 monotonicity, bounds, and constraints on the number of inflection points).
 Enforcing constraints can eliminate unwanted waves or kinks in the estimate,
 which improves its subjective appearance and can also improve statistical
 performance. The main function scdensity() is very similar to the density()
 function in 'stats', allowing shape-restricted estimates to be obtained with
 little effort. The methods implemented in this package are described in
 Wolters and Braun (2017) <doi:10.1080/03610918.2017.1288247>, Wolters (2012)
 <doi:10.18637/jss.v047.i06>, and Hall and Huang (2002)
 <https://www3.stat.sinica.edu.tw/statistica/j12n4/j12n41/j12n41.htm>.  See
 the scdensity() help for for full citations.

Package: r-cran-scdhlm
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme, r-cran-readxl, r-cran-rlang, r-cran-dplyr, r-cran-tidyselect, r-cran-magrittr, r-cran-lmeinfo
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-ggplot2, r-cran-plyr, r-cran-boot, r-cran-shiny, r-cran-shinytest, r-cran-glue, r-cran-janitor, r-cran-rclipboard, r-cran-rvest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scdhlm_0.7.3-1.ca2004.1_all.deb
Size: 852248
MD5sum: c175d1d2a2280c09949cf064226886b5
SHA1: b5191ce6e611bfe4a617f9bc59338283acc00add
SHA256: 3bce253fd617bd1db44fd99d0d9f8ce9fb4cac79937fe1c76e8f81206cf6753d
SHA512: c9c78ab13b7393d34139ceb5d3441662f2b655b90e8e57f15936f385d95dd2ff11c10f5f7b4fa08ec1b212dd3bfb13879a394d3037ef2923bc76e35c7967e13c
Homepage: https://cran.r-project.org/package=scdhlm
Description: CRAN Package 'scdhlm' (Estimating Hierarchical Linear Models for Single-Case Designs)
 Provides a set of tools for estimating hierarchical linear models and effect
 sizes based on data from single-case designs.  Functions are provided for
 calculating standardized mean difference effect sizes that are directly
 comparable to standardized mean differences estimated from between-subjects
 randomized experiments, as described in Hedges, Pustejovsky, and Shadish
 (2012) <DOI:10.1002/jrsm.1052>; Hedges, Pustejovsky, and Shadish (2013)
 <DOI:10.1002/jrsm.1086>; Pustejovsky, Hedges, and Shadish (2014)
 <DOI:10.3102/1076998614547577>; and Chen, Pustejovsky, Klingbeil, and Van
 Norman (2023) <DOI:10.1016/j.jsp.2023.02.002>.  Includes an interactive web
 interface.

Package: r-cran-scdiffcom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3491
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-bioc-delayedarray, r-cran-future, r-cran-future.apply, r-cran-magrittr, r-cran-seurat
Suggests: r-bioc-biomart, r-cran-covr, r-cran-dt, r-cran-ggplot2, r-bioc-gosemsim, r-cran-igraph, r-cran-kableextra, r-bioc-keggrest, r-cran-knitr, r-cran-ontologyindex, r-bioc-ontoproc, r-cran-pkgdown, r-cran-plotly, r-cran-rcolorbrewer, r-cran-rmarkdown, r-bioc-rrvgo, r-cran-spelling, r-cran-shiny, r-cran-shinythemes, r-cran-shinywidgets, r-bioc-singlecellsignalr, r-cran-testthat, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-scdiffcom_1.0.0-1.ca2004.1_all.deb
Size: 3315276
MD5sum: d10a33a02976541f9af67ab9a2888db3
SHA1: d4fc8f6e565333bcef0664f7021c41c989420875
SHA256: 4307a039ad74fad4b4d2f935fa9d91b1d75514cab6cb24a0f8f3f76f0e7822ff
SHA512: 8088aab1d5039f190d020c66246755f2370c523d5f7194305520b61649d2b80f3fda0873c4454488d193c82acadf1c6649b9972f08c83593caafcc3bd5293a80
Homepage: https://cran.r-project.org/package=scDiffCom
Description: CRAN Package 'scDiffCom' (Differential Analysis of Intercellular Communication fromscRNA-Seq Data)
 Analysis tools to investigate changes in intercellular communication from
 scRNA-seq data. Using a Seurat object as input, the package infers which
 cell-cell interactions are present in the dataset and how these interactions
 change between two conditions of interest (e.g. young vs old). It relies on
 an internal database of ligand-receptor interactions (available for human,
 mouse and rat) that have been gathered from several published studies.
 Detection and differential analyses rely on permutation tests. The package
 also contains several tools to perform over-representation analysis and
 visualize the results. See Lagger, C. et al. (2023)
 <doi:10.1038/s43587-023-00514-x> for a full description of the methodology.

Package: r-cran-scdiftest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-strucchange, r-cran-mirt, r-cran-zoo
Suggests: r-cran-mvtnorm, r-cran-psychotree, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scdiftest_0.1.1-1.ca2004.1_all.deb
Size: 42292
MD5sum: fcf775e138c1a49cda98334c00933071
SHA1: 6ab34e662da7f2d2eff30b7bfc3a75c2def54ae6
SHA256: 5db9a2156a24e5f007728768d8fb8373baac414e78eb63493a3b90a65029e9e4
SHA512: 8fef1cf169422d9352ad30e4792955503d00462d5b1069e256ae7357a3750e78e98329e54565c2432c9355e15d8dd721703e47eea22a0de53c24121be904a2d0
Homepage: https://cran.r-project.org/package=scDIFtest
Description: CRAN Package 'scDIFtest' (Item-Wise Score-Based DIF Detection)
 Detection of item-wise Differential Item Functioning (DIF) in fitted 'mirt',
 'multipleGroup' or 'bfactor' models using score-based structural change
 tests. Under the hood the sctest() function from the 'strucchange' package
 is used.

Package: r-cran-scdtb
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom.mixed, r-cran-dt, r-cran-ggplot2, r-cran-mass, r-cran-mmcards, r-cran-mmints, r-cran-nlme, r-cran-shiny, r-cran-shinythemes, r-cran-sn
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scdtb_0.2.0-1.ca2004.1_all.deb
Size: 1867160
MD5sum: 27b718da92bb3284df71c15da5564afa
SHA1: 496d84590cf8f2fcea995c45cafb1d444109289b
SHA256: ff9cc59bfc5569e4f32947e48bb8da81358410fa9fd34c36d43f675a294179e6
SHA512: 8788fcfae0ceb597af252a66811cad740a193ff07a1fb90aaa18ea141ffc8788a3c39bad1c40dd37dcd4171508025694efecf9396744da29978323906c761d6c
Homepage: https://cran.r-project.org/package=scdtb
Description: CRAN Package 'scdtb' (Single Case Design Tools)
 In some situations where researchers would like to demonstrate causal
 effects, it is hard to obtain a sample size that would allow for a
 well-powered randomized controlled trial. Single case designs are
 experimental designs that can be used to demonstrate causal effects with
 only one participant or with only a few participants. The 'scdtb' package
 provides a suite of tools for analyzing data from studies that use single
 case designs. The nap() function can be used to compute the nonoverlap of
 all pairs as outlined by the What Works Clearinghouse (2022)
 <https://ies.ed.gov/ncee/wwc/Handbooks>. The package also offers the
 mixed_model_analysis() and cross_lagged() functions which implement mixed
 effects models and cross lagged analyses as described in Maric & van der
 Werff (2020) <doi:10.4324/9780429273872-9>. The randomization_test()
 function implements randomization tests based on methods presented in
 Onghena (2020) <doi:10.4324/9780429273872-8>. The scdtb() 'shiny'
 application can be used to upload single case design data and access various
 'scdtb' tools for plotting and analysis.

Package: r-cran-sce
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sce_1.0.0-1.ca2004.1_all.deb
Size: 240056
MD5sum: fa39ccad5ba214ae932b800d3fc6fb29
SHA1: 3e29353fef079ab404d05a5eeba0faa14e28311f
SHA256: fae2436be237a195bce72e727ec736f8cccc4d9565372a67dbbaecc408dfe917
SHA512: e16c65529b239becf196d91b15213f696824a1cdeaf63501e84f74f45bbddac700dc09d9fa09e891add0828cd5473fb691bd84512bd2de9b1485efd02ba03e2d
Homepage: https://cran.r-project.org/package=SCE
Description: CRAN Package 'SCE' (Stepwise Clustered Ensemble)
 Implementation of Stepwise Clustered Ensemble (SCE) and Stepwise Cluster
 Analysis (SCA) for multivariate data analysis. The package provides
 comprehensive tools for feature selection, model training, prediction, and
 evaluation in hydrological and environmental modeling applications. Key
 functionalities include recursive feature elimination (RFE), Wilks feature
 importance analysis, model validation through out-of-bag (OOB) validation,
 and ensemble prediction capabilities. The package supports both single and
 multivariate response variables, making it suitable for complex
 environmental modeling scenarios. For more details see Li et al. (2021)
 <doi:10.5194/hess-25-4947-2021>.

Package: r-cran-scem
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-devtools, r-cran-mathjaxr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scem_1.1.0-1.ca2004.1_all.deb
Size: 186576
MD5sum: 1e0902ccd34cc80829ab79ca5e3e0478
SHA1: d2bdcc9f5f230bf3dacdd5bf5e1afc33a4d2278e
SHA256: 3e5ea9ff103364fd9263ed38b6ea9b00616b4b64eabbe33132829cf046ae391f
SHA512: b174c1ef85f6e24472276b07e09f0896d6111550537e1ee4ba820573d6ce185d58cb7acbc9399aff1a4fff8d722b59a22c50297fb4500bee18a1c35fa7e7394d
Homepage: https://cran.r-project.org/package=SCEM
Description: CRAN Package 'SCEM' (Splitting-Coalescence-Estimation Method)
 We introduce improved methods for statistically assessing birth seasonality
 and intra-annual variation. The first method we propose is a new idea that
 uses a nonparametric clustering procedure to group individuals with similar
 time series data and estimate birth seasonality based on the clusters. One
 can use the function SCEM() to implement this method. The second method
 estimates input parameters for use with a previously-developed parametric
 approach (Tornero et al., 2013). The relevant code for this approach is
 makeFits_OLS(), while makeFits_initial() is the code to implement the same
 method but with given initial conditions for two parameters. The latter can
 be used to show the disadvantage of the existing approach. One can use the
 function makeFits() to generate parametric birth seasonality estimates using
 either initialization. Detailed description can be found here: Chazin
 Hannah, Soudeep Deb, Joshua Falk, and Arun Srinivasan. (2019) "New
 Statistical Approaches to Intra-Individual Isotopic Analysis and Modeling
 Birth Seasonality in Studies of Herd Animals." <doi:10.1111/arcm.12432>.

Package: r-cran-scenario
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-scenario_1.0-1.ca2004.1_all.deb
Size: 73768
MD5sum: effec0606e74690485f0c3dd28574f5b
SHA1: ce1062f572c2a40de9f00f4c6de307e5b3adae00
SHA256: e0486997122f9b743cded3451ccc4019167347771c26a20ec3773f3776f767cc
SHA512: 39685da6fc2e3c82a17960073c04ff3bbe318c07014ad36c82d133ae9fba3103a3e48de146beea30dad590d23b0fd0d0a885265c69c011fb77e15f8cfb863a8b
Homepage: https://cran.r-project.org/package=scenario
Description: CRAN Package 'scenario' (Construct Reduced Trees with Predefined Nodal Structures)
 Uses the neural gas algorithm to construct a scenario tree for use in
 multi-stage stochastic programming.  The primary input is a set of initial
 scenarios or realizations of a disturbance. The scenario tree nodal
 structure must be predefined using a scenario tree nodal partition matrix.

Package: r-cran-scenes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-cookies, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-shiny
Suggests: r-cran-covr, r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scenes_0.1.0-1.ca2004.1_all.deb
Size: 250172
MD5sum: 03748cc5dd39f6d95b0ed708482a48b1
SHA1: 871ba4b95f0aa8ae033e9cf5c4b49826989c6594
SHA256: dd02255c98262ef2fa998bd66e20a96deb147438e3c1e2925b00d55986f7f291
SHA512: 1aef54754208a20e0e035c71498e850e792e42024b4a9f9af40e0eb276535bfda6e60318784d91cb6292f131532d29201738b1f5994d961e6909eb9d3e58f80f
Homepage: https://cran.r-project.org/package=scenes
Description: CRAN Package 'scenes' (Switch Between Alternative 'shiny' UIs)
 Sometimes it is useful to serve up alternative 'shiny' UIs depending on
 information passed in the request object, such as the value of a cookie or a
 query parameter. This packages facilitates such switches.

Package: r-cran-scent
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-entropy, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scent_0.0.1-1.ca2004.1_all.deb
Size: 30664
MD5sum: 6327d3ee8f5c013ccf89e0da68fe90f2
SHA1: 71bc80f1feb52fcf34708af84b1bc6b6540802dd
SHA256: a134a0cf3e6d1ac8608d25bdcca16c2d6b27f5f566e6dd371bc2d540e9e7c2b5
SHA512: 97c01b8c411d9ab671026603c3888f8c983a3aefa198bb43f8bbc7171215264ff50f694a5a7cd9e81f39e41a378bf2621807f5587c0b0e7e410f158fd592f99d
Homepage: https://cran.r-project.org/package=SCEnt
Description: CRAN Package 'SCEnt' (Single Cell Entropy Analysis of Gene Heterogeneity in CellPopulations)
 Analyse single cell RNA sequencing data using entropy to calculate
 heterogeneity and homogeneity of genes amongst the cell population. From the
 work of Michael J. Casey, Ruben J. Sanchez-Garcia and Ben D. MacArthur.

Package: r-cran-scfetch
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5407
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biobase, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-bioc-geoquery, r-cran-jsonlite, r-cran-magrittr, r-cran-matrix, r-cran-openxlsx, r-cran-pbapply, r-cran-purrr, r-cran-rpanglaodb, r-cran-reticulate, r-cran-seurat, r-cran-tibble, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-scater, r-bioc-loomexperiment, r-cran-httr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-scrnaseq, r-bioc-biocstyle, r-cran-htmltools, r-bioc-zellkonverter, r-bioc-geofastq
Filename: pool/dists/focal/main/r-cran-scfetch_0.5.0-1.ca2004.1_all.deb
Size: 1717268
MD5sum: cd61d4f37a4479f0367849b947a8414e
SHA1: c406d0975d3be4a320c131d4201ed808f8955011
SHA256: dc1adf1fd9744bb6149b7a98061a9ae84a9b777d9a63dc88944d7a2dbb2d2e22
SHA512: d142ffa7bc5e5ced6c8c30f47833b9a1bd47cebb2745ed26833e6b5414299264c1a6866b47fe159ee3568cee62fe856b76e5a75bd2e5e4563a8a414552c0a1b7
Homepage: https://cran.r-project.org/package=scfetch
Description: CRAN Package 'scfetch' (Access and Format Single-Cell RNA-Seq Datasets from PublicResources)
 The goal of 'scfetch' is to access and format single-cell RNA-seq datasets.
 It can be used to download single-cell RNA-seq datasets from widely used
 public resources, including GEO <https://www.ncbi.nlm.nih.gov/geo/>, Zenodo
 <https://zenodo.org/>, CELLxGENE <https://cellxgene.cziscience.com/>, Human
 Cell Atlas <https://www.humancellatlas.org/>, PanglaoDB
 <https://panglaodb.se/index.html> and UCSC Cell Browser
 <https://cells.ucsc.edu/>. And, it can also be used to perform object
 conversion between SeuratObject <https://satijalab.org/seurat/>, loom
 <http://loompy.org/>, h5ad <https://scanpy.readthedocs.io/en/stable/>,
 SingleCellExperiment
 <https://bioconductor.org/packages/release/bioc/html/scran.html>,
 CellDataSet <http://cole-trapnell-lab.github.io/monocle-release/> and
 cell_data_set <https://cole-trapnell-lab.github.io/monocle3/>.

Package: r-cran-scfmonitor
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1386
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-stringr, r-cran-tidyselect, r-cran-dplyr, r-cran-tibble, r-cran-ggplot2, r-cran-tidyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-scfmonitor_0.3.5-1.ca2004.1_all.deb
Size: 390980
MD5sum: 95478b3fa521809fd128c21934eed987
SHA1: ce5dcdbb8db32f9a99601aa521a5f65a7de0f699
SHA256: f708b24a6a55cb5a2a5ca08d783db52380b619391f6f0ce2ab5f54cb9018c17f
SHA512: 03158dac0a3c695f90fbc45a868186ce71c9b869d6c555a07ccb7d833b725a17047174a12fd4911155a30243c92f62a4a0ee6f0ba6b11c845997fa81b8715579
Homepage: https://cran.r-project.org/package=SCFMonitor
Description: CRAN Package 'SCFMonitor' (Clear Monitor and Graphing Software Processing Gaussian .logFile)
 Self-Consistent Field(SCF) calculation method is one of the most important
 steps in the calculation methods of quantum chemistry. Ehrenreich, H., &
 Cohen, M. H. (1959). <doi:10.1103/PhysRev.115.786> However, the most
 prevailing software in this area, 'Gaussian''s SCF convergence process is
 hard to monitor, especially while the job is still running, causing
 researchers difficulty in knowing whether the oscillation has started or
 not, wasting time and energy on useless configurations or abandoning the
 jobs that can actually work. M.J. Frisch, G.W. Trucks, H.B. Schlegel et al.
 (2016). <https://gaussian.com> 'SCFMonitor' enables 'Gaussian' quantum
 chemistry calculation software users to easily read the 'Gaussian' .log
 files and monitor the SCF convergence and geometry optimization process with
 little effort and clear, beautiful, and clean outputs. It can generate
 graphs using 'tidyverse' to let users check SCF convergence and geometry
 optimization processes in real-time. The software supports processing .log
 files remotely using with rbase::url(). This software is a suitcase for
 saving time and energy for the researchers, supporting multiple versions of
 'Gaussian'.

Package: r-cran-scgate
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2039
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seurat, r-bioc-ucell, r-cran-dplyr, r-cran-patchwork, r-cran-ggridges, r-cran-reshape2, r-cran-ggplot2, r-bioc-biocparallel
Suggests: r-cran-ggparty, r-cran-partykit, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scgate_1.7.0-1.ca2004.1_all.deb
Size: 2041996
MD5sum: 6e72b07af057923a4dbc51448699df38
SHA1: 0b2402930f61560009fc40654be82bc4dfba34e4
SHA256: 451ae9db13ff825e58369841b1f9571fa13f80257b7030e536ccdb38bcbe2010
SHA512: 9805ffa69b13ae6372ad937ea53655f2699144bbc09d89923dddf24214d241ed5212c13bafdaa3f96d4e3534843d098a9a750830dd48da9101d68265f770b77f
Homepage: https://cran.r-project.org/package=scGate
Description: CRAN Package 'scGate' (Marker-Based Cell Type Purification for Single-Cell SequencingData)
 A common bioinformatics task in single-cell data analysis is to purify a
 cell type or cell population of interest from heterogeneous datasets.
 'scGate' automatizes marker-based purification of specific cell populations,
 without requiring training data or reference gene expression profiles.
 Briefly, 'scGate' takes as input: i) a gene expression matrix stored in a
 'Seurat' object and ii) a “gating model” (GM), consisting of a set of marker
 genes that define the cell population of interest. The GM can be as simple
 as a single marker gene, or a combination of positive and negative markers.
 More complex GMs can be constructed in a hierarchical fashion, akin to
 gating strategies employed in flow cytometry. 'scGate' evaluates the
 strength of signature marker expression in each cell using the rank-based
 method 'UCell', and then performs k-nearest neighbor (kNN) smoothing by
 calculating the mean 'UCell' score across neighboring cells. kNN-smoothing
 aims at compensating for the large degree of sparsity in scRNA-seq data.
 Finally, a universal threshold over kNN-smoothed signature scores is applied
 in binary decision trees generated from the user-provided gating model, to
 annotate cells as either “pure” or “impure”, with respect to the cell
 population of interest. See the related publication Andreatta et al. (2022)
 <doi:10.1093/bioinformatics/btac141>.

Package: r-cran-scglr
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1824
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-formula, r-cran-ggplot2, r-cran-proc, r-cran-ade4, r-cran-rlang, r-cran-pls
Suggests: r-cran-future, r-cran-future.apply, r-cran-progressr
Filename: pool/dists/focal/main/r-cran-scglr_3.1.0-1.ca2004.1_all.deb
Size: 1795892
MD5sum: ee93060571cca0cb765baa33360d8e91
SHA1: a08ece28dcbc8e4e42a740eccbcc3c21099a0ee9
SHA256: 82d1e0b000dcff72bed9b6491cb6ce0114238782e376a6e0eb3a7fe4607f34ba
SHA512: f2368700f644b3ef232ae614195f6e69fc78022f6a2ad602ee54bc6dbf963fe0242ed58445271569be58805699c5153879204ad3468a3d4260fd9005dd935958
Homepage: https://cran.r-project.org/package=SCGLR
Description: CRAN Package 'SCGLR' (Supervised Component Generalized Linear Regression)
 An extension of the Fisher Scoring Algorithm to combine PLS regression with
 GLM estimation in the multivariate context. Covariates can also be grouped
 in themes.

Package: r-cran-scgoclust
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3892
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-limma, r-cran-seurat, r-bioc-biomart, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-matrix, r-cran-networkd3, r-cran-slanter
Suggests: r-cran-knitr, r-cran-devtools, r-cran-pheatmap, r-cran-rmarkdown, r-cran-httr
Filename: pool/dists/focal/main/r-cran-scgoclust_0.2.1-1.ca2004.1_all.deb
Size: 3681788
MD5sum: 129f5fd746f4f98eabeccb7ed8965470
SHA1: d29f9e3549f23056314403de28d692e69a7c26b0
SHA256: 4e320fbec9daf138c99eb6575f244bfed46f7d802b3d22f0e9cb025c1125ad3c
SHA512: da4825b52afe73386905f17a0fbc99f1dd86a948767970345e37e40dfb45d1bc10a50efef032185e7431033653941ffef997701937b9f4f6bea111add5a7e91e
Homepage: https://cran.r-project.org/package=scGOclust
Description: CRAN Package 'scGOclust' (Measuring Cell Type Similarity with Gene Ontology in Single-CellRNA-Seq)
 Traditional methods for analyzing single cell RNA-seq datasets focus solely
 on gene expression, but this package introduces a novel approach that goes
 beyond this limitation. Using Gene Ontology terms as features, the package
 allows for the functional profile of cell populations, and comparison within
 and between datasets from the same or different species. Our approach
 enables the discovery of previously unrecognized functional similarities and
 differences between cell types and has demonstrated success in identifying
 cell types' functional correspondence even between evolutionarily distant
 species.

Package: r-cran-scgwr
Architecture: all
Version: 0.1.2-21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-spdata, r-cran-sp, r-cran-dplyr, r-cran-optimparallel
Filename: pool/dists/focal/main/r-cran-scgwr_0.1.2-21-1.ca2004.1_all.deb
Size: 82168
MD5sum: 8d536be0805723be20843178d0d65a9e
SHA1: 1339e3bec0c11c6824a21c8363f62dad653d3c0e
SHA256: c99883ddd64de7b9c1c644612c459089a68a81882926f9f96117df0c41f77582
SHA512: 471f59fb9da08bbc985a4d8d55b3cc728b54ed47124b2cdf1780949c4cbdde7d344a0455789ddf4b368f8fb64c861a8f2eba39a79fa2624c2222ae99ba4196dc
Homepage: https://cran.r-project.org/package=scgwr
Description: CRAN Package 'scgwr' (Scalable Geographically Weighted Regression)
 Fast and regularized version of GWR for large dataset, detailed in Murakami,
 Tsutsumida, Yoshida, Nakaya, and Lu (2019) <arXiv:1905.00266>.

Package: r-cran-sched
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 350
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-fscache, r-cran-chk, r-cran-lgr, r-cran-rcurl, r-cran-openssl
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-sched_1.0.3-1.ca2004.1_all.deb
Size: 256332
MD5sum: 0f6e03fcbcd103aafbbdcad7351a8c2f
SHA1: 73362c07b4614a288ea2b6355b1c3f2bff62099d
SHA256: b778f5075dabe2fe4ddb0cc8c0703c622e7e0f373130b994cf90ba47a47e6610
SHA512: 9b25a07a187fc390e0d8161f68dd123926e9d48e02fe47aad6e351aaa637fe66eae74b9030c2e05c2d7caa5858550d3efb781153815426f315337a00e5ffc331
Homepage: https://cran.r-project.org/package=sched
Description: CRAN Package 'sched' (Request Scheduler)
 Offers classes and functions to contact web servers while enforcing
 scheduling rules required by the sites. The URL class makes it easy to
 construct a URL by providing parameters as a vector. The Request class
 allows to describes SOAP (Simple Object Access Protocol) or standard
 requests: URL, method (POST or GET), header, body. The Scheduler class
 controls the request frequency for each server address by mean of rules
 (Rule class). The RequestResult class permits to get the request status to
 handle error cases and the content.

Package: r-cran-schematic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-quarto, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-schematic_0.1.2-1.ca2004.1_all.deb
Size: 41880
MD5sum: 20f1bf444c94c857747c62b05d4326af
SHA1: 8bb408b0fc023d8d230a32122b2a808a6e2275ba
SHA256: 750c663f5a3f672893a174494fff86146aef9448784a62f4792766f7b36b5a17
SHA512: 0e9ed6fc5f1781a5f169374c1662f23838b283b519b9dad685d4bd2a4f699689b7072dd08a1668ff78c995ac67ae9939e92b3257f3faf9fbd191c195f861f145
Homepage: https://cran.r-project.org/package=schematic
Description: CRAN Package 'schematic' (Tidy Schema Validation for Data Frames)
 Validate data.frames against schemas to ensure that data matches
 expectations. Define schemas using 'tidyselect' and predicate functions for
 type consistency, nullability, and more. Schema failure messages can be
 tailored for non-technical users and are ideal for user-facing applications
 such as in 'shiny' or 'plumber'.

Package: r-cran-schemr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-magrittr, r-cran-purrr, r-cran-apcluster, r-cran-openimager
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-schemr_0.3.1-1.ca2004.1_all.deb
Size: 199588
MD5sum: f615f5c3bbb4fbbc45d78b2d2a663e15
SHA1: 21c9afd674f4516b49a92fd268d3bbba2f3cf360
SHA256: 32f17285949177545095b547fa63c6489e1beaa82718ad20e8d549e9c014c1ec
SHA512: e08406385824f49dd12308f20d428f7825a8db55465ef68532b10556c9a32d968f9ffb8d653bc5f40998a6e04f7f4c73df4da0eed67153ef426de0452f51dd8f
Homepage: https://cran.r-project.org/package=schemr
Description: CRAN Package 'schemr' (Convert Images to Usable Color Schemes)
 A fast and adaptable tool to convert photos and images into usable colour
 schemes for data visualisation. Contains functionality to extract colour
 palettes from images, as well for the conversion of images between colour
 spaces.

Package: r-cran-schoenberg
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-schoenberg_2.0.3-1.ca2004.1_all.deb
Size: 24336
MD5sum: 6aeecb0966276de04be8fee583c215ad
SHA1: 7ae007a0c5149d3b374dcbe0fcef10c780bef266
SHA256: d7dca7c57cb557ac3088a8460b870812300fcedc6f31d6001941f7fe7ec25878
SHA512: b6d87135ee9010b6702a785300b04ae50bc1ca0403106829f26e9b3b7b170d3618e7c45e16ed401517a4252f7b09456a19584404e6e7a0c5d1d1a1af3936dd00
Homepage: https://cran.r-project.org/package=schoenberg
Description: CRAN Package 'schoenberg' (Tools for 12-Tone Musical Composition)
 Functions for creating and manipulating 12-tone (i.e., dodecaphonic) musical
 matrices using Arnold Schoenberg's (1923) serialism technique. This package
 can generate random 12-tone matrices and can generate matrices using a
 pre-determined sequence of notes.

Package: r-cran-scholar
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1432
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r.cache, r-cran-dplyr, r-cran-httr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-xml2, r-cran-tidygraph, r-cran-ggraph, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-roxygen2, r-cran-spelling, r-cran-testthat, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-scholar_0.2.5-1.ca2004.1_all.deb
Size: 1357852
MD5sum: 9bba69c0c4eda37b4a19dd892849acad
SHA1: c566dbdc350cc2fab690550631f07e730f4f5e35
SHA256: 6a96a5074508a49e4fe61e9f2f08de742d9f659a2dcc8a11e66af55e09063aff
SHA512: e7964767cc744a3d83e62e91820a714ea4edb4f77d90a0914788180ee6e4245c3fb912176106e28e442fc1a3d8841b5230df8b984674fe7c69b339acde92d9dc
Homepage: https://cran.r-project.org/package=scholar
Description: CRAN Package 'scholar' (Analyse Citation Data from Google Scholar)
 Provides functions to extract citation data from Google Scholar.
 Convenience functions are also provided for comparing multiple scholars and
 predicting future h-index values.

Package: r-cran-schooldatait
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1485
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-leafpop, r-cran-magrittr, r-cran-mapview, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-sf, r-cran-stringr, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-schooldatait_0.2.6-1.ca2004.1_all.deb
Size: 1469832
MD5sum: e9fe11b605856f9fba6c4e86b3280fb4
SHA1: b969b6fe5359aefedb6bd9478c94c90fb1de39d8
SHA256: e1ba59f62d5b736ed66131bc74256147d79b568828783c2145570cd116b4d959
SHA512: fb45c80529daefd2b70da7e3f8d6f2b60daadedb73ae91c356fce9925ca86c2d86dc1865de313bcc4548e8274b7efcfac9f1e23cb71da50034c96548d922f1ee
Homepage: https://cran.r-project.org/package=SchoolDataIT
Description: CRAN Package 'SchoolDataIT' (Retrieve, Harmonise and Map Open Data Regarding the ItalianSchool System)
 Compiles and displays the available data sets regarding the Italian school
 system, with a focus on the infrastructural aspects.  Input datasets are
 downloaded from the web, with the aim of updating everything to real time.
 The functions are divided in four main modules, namely 'Get', to scrape raw
 data from the web 'Util', various utilities needed to process raw data
 'Group', to aggregate data at the municipality or province level 'Map', to
 visualize the output datasets.

Package: r-cran-schoolmath
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2201
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-schoolmath_0.4.2-1.ca2004.1_all.deb
Size: 2079668
MD5sum: 9be3efdda03cd771c79b2f47764d6324
SHA1: a02ab1737aa43acfd83ac71d9aa9326ba3d8e2be
SHA256: f0d2614faeb1d721e9ee0fbe067e2bdbfb65e3289ac199f2702fff6ff1237cc8
SHA512: 865cd6cf90d31a267dd0dbb5b9eee470fd5a9254966965948a48238ab91872e74ff4e4bd7982c4183539b7c907430b5f025748a90f3d1bbf77c8b419091a6b1a
Homepage: https://cran.r-project.org/package=schoolmath
Description: CRAN Package 'schoolmath' (Functions and Datasets for Math Used in School)
 Contains functions and datasets for math taught in school. A main focus is
 set to prime-calculation.

Package: r-cran-schorsch
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ez
Filename: pool/dists/focal/main/r-cran-schorsch_1.11-1.ca2004.1_all.deb
Size: 77376
MD5sum: 2f9b736d822b0c383fd666c110a9de4e
SHA1: 5dfa788a38c5f19d9a19f9415f56346e1ecfd6cc
SHA256: 8acc2ba4dfb73516467ba3b8289b234a8b989b9c95c7961a08a98690ca1473a6
SHA512: c89c7aca590723204c65724e2f24cb14f090406c5b4b5f8be0f0f16b7f8bdc4596ca7be8bb1f3b7c7d74486044f727128aebe538c114fe3495942d7b34466ef2
Homepage: https://cran.r-project.org/package=schoRsch
Description: CRAN Package 'schoRsch' (Tools for Analyzing Factorial Experiments)
 Offers a helping hand to psychologists and other behavioral scientists who
 routinely deal with experimental data from factorial experiments. It
 includes several functions to format output from other R functions according
 to the style guidelines of the APA (American Psychological Association).
 This formatted output can be copied directly into manuscripts to facilitate
 data reporting. These features are backed up by a toolkit of several small
 helper functions, e.g., offering out-of-the-box outlier removal. The package
 lends its name to Georg "Schorsch" Schuessler, ingenious technician at the
 Department of Psychology III, University of Wuerzburg. For details on the
 implemented methods, see Roland Pfister and Markus Janczyk (2016) <doi:
 10.20982/tqmp.12.2.p147>.

Package: r-cran-schrute
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3057
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidytext
Filename: pool/dists/focal/main/r-cran-schrute_1.0.1-1.ca2004.1_all.deb
Size: 2925968
MD5sum: 98a580581bf80abc930f5f7665cb9995
SHA1: d0e0ef8d51cbec97d3ca07bbe51a705069526e88
SHA256: eb102c8eb99f3f173893cb8c1d9f46ce9e4988b23962ad1cfc30e97af28de1b9
SHA512: e861f4e362dc2008e07b60071813543cd25b20e77196e5e69e7f0ac60311758cbdefd91e9fab8b684c76f0f20bfd814ffe55113d5c2b9752a2146b5e34711de9
Homepage: https://cran.r-project.org/package=schrute
Description: CRAN Package 'schrute' (The Entire Transcript from the Office in Tidy Format)
 The complete scripts from the American version of the Office television show
 in tibble format. Use this package to analyze and have fun with text from
 the best series of all time.

Package: r-cran-schtools
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3536
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-formatr, r-cran-glue, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-cowplot, r-cran-ggplot2, r-cran-ggtext, r-cran-here, r-cran-hexsticker, r-cran-hrbrthemes, r-cran-knitr, r-cran-purrr, r-cran-readr, r-cran-rmarkdown, r-cran-showtext, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-schtools_0.4.1-1.ca2004.1_all.deb
Size: 1241020
MD5sum: e8f704e3c091938105e97e18b53f471d
SHA1: 9322798a5504da1bbc687a7b6edd50060fe2d061
SHA256: f0083e4256069bd0c5f799d0455fc411ce94133861733ee9567828e1983b5239
SHA512: 029798a410bafadd6b1d18481d8703899c0031b7509f4db9d4683a17eb0545c49d8aacdff233df87670282ebbf35a9e2d5608539beecde2f9c2c7e2aa9dc2db9
Homepage: https://cran.r-project.org/package=schtools
Description: CRAN Package 'schtools' (Schloss Lab Tools for Reproducible Microbiome Research)
 A collection of useful functions and example code created and used by the
 Schloss Lab for reproducible microbiome research. Perform common tasks like
 read files created by mothur <https://mothur.org/>, tidy up your microbiome
 data, and format R Markdown documents for publication.  See the website
 <http://www.schlosslab.org/schtools/> for more information, documentation,
 and examples.

Package: r-cran-schumaker
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-numderiv, r-cran-cobs, r-cran-scam, r-cran-rbenchmark
Filename: pool/dists/focal/main/r-cran-schumaker_1.2.1-1.ca2004.1_all.deb
Size: 68868
MD5sum: 08ad9e38c96c1f582bfa526611132fc1
SHA1: 2950977a4533189f3cbb947a6c61faea1794664a
SHA256: 95597798c4c31f741d684a0514c75148dc81d16f2795d2c4e51340757ef4cd16
SHA512: bcd0dec892cca61f02a041a40e049bcac2383811071d8f5e67cebb5be46dd1aa259d031382655b74eae2e8fbb1641616e5d3609e9c5f83bae5d36d925f419081
Homepage: https://cran.r-project.org/package=schumaker
Description: CRAN Package 'schumaker' (Schumaker Shape-Preserving Spline)
 This is a shape preserving spline <doi:10.1137/0720057> which is guaranteed
 to be monotonic and concave or convex if the data is monotonic and concave
 or convex. It does not use any optimisation and is therefore quick and
 smoothly converges to a fixed point in economic dynamics problems including
 value function iteration. It also automatically gives the first two
 derivatives of the spline and options for determining behaviour when
 evaluated outside the interpolation domain.

Package: r-cran-schwabr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-urltools, r-cran-base64enc, r-cran-lubridate, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-schwabr_0.1.3-1.ca2004.1_all.deb
Size: 88560
MD5sum: c3800a58f87376ce9d07d3a7b4dd85a3
SHA1: ac255d1ee9e3fea20f75e84e00deb1da4d098c5d
SHA256: c4778b579537fb61d07c9c65c9b36aa682330b2c412305dc2bf26c3f2a2074e1
SHA512: 210ce8b5a59f8a282a8ada38972d5cb3274e048f04bbe5a3ac5ee10cb64e0b537c7490b8e5d83968f7cd765b9b8e5ca41015ddef46e1eac5af50550ea6dcf812
Homepage: https://cran.r-project.org/package=schwabr
Description: CRAN Package 'schwabr' ('Schwab API' Interface)
 Use R to interface with the 'Charles Schwab Trade API'
 <https://developer.schwab.com/>.  Functions include authentication, trading,
 price requests, account information, and option chains. A user will need a
 Schwab brokerage account and Schwab Individual Developer app. See README for
 authentication process and examples.

Package: r-cran-sci
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fitdistrplus, r-cran-lmomco
Suggests: r-cran-evd
Filename: pool/dists/focal/main/r-cran-sci_1.0-3-1.ca2004.1_all.deb
Size: 64436
MD5sum: 3bac5804bcf62948b47808fa004cde18
SHA1: 349ec81910459903223f5f58e289bb099c1b460c
SHA256: 42611595ce3a3a7bbd3b5a77f9573e33ad2a9c7c4f1bb2cf159eecf20339db4b
SHA512: cf3775e5c683e7f4bbdab0a3fa975c280465db567fc278809d1306c3954b5b1180dce683b05a5e99b9e86e34111397d2c51b9a209f5c49be719e7cefc7a697f5
Homepage: https://cran.r-project.org/package=SCI
Description: CRAN Package 'SCI' (Standardized Climate Indices Such as SPI, SRI or SPEI)
 Functions for generating Standardized Climate Indices (SCI).  Functions for
 generating Standardized Climate Indices (SCI).  SCI is a transformation of
 (smoothed) climate (or environmental) time series that removes seasonality
 and forces the data to take values of the standard normal distribution. SCI
 was originally developed for precipitation.  In this case it is known as the
 Standardized Precipitation Index (SPI).

Package: r-cran-sciber
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-cowplot, r-cran-ggplot2, r-cran-ggthemes, r-cran-matrix, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-sciber_0.2.2-1.ca2004.1_all.deb
Size: 768716
MD5sum: 1b45760c61c276c576e549c0f43bba3a
SHA1: c8fedf4217b5aa3d8eda9776e1aa588f49e862c5
SHA256: 6d91f795335c098aa1a4c5f5a09284109457f58eb449e49560356c6da3704879
SHA512: 7835f8ab20dd9ca26d5145ee8558e2008cd777c2eee1eb4fb8281ea9a3960e020572dc6a13d2b3beb009fcd4ad00856152697888ddea32d328e67f1086b5a7ac
Homepage: https://cran.r-project.org/package=SCIBER
Description: CRAN Package 'SCIBER' (Single-Cell Integrator and Batch Effect Remover)
 Remove batch effects by projecting query batches into the reference batch
 space.

Package: r-cran-scico
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-scales
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-scico_1.5.0-1.ca2004.1_all.deb
Size: 324720
MD5sum: 26d121a2d9fe1c13b88ec6d177ab10fe
SHA1: b6a7d93925ced390018ae01903e6e69fada8ad48
SHA256: 8b2c3b87d62741e04fbebc9e7f57786d2324ff5359187c22f1c4e7ddeb40ee40
SHA512: 465e81978a6330208af98ea6da51ebd3a5e830cf7b1929134a79b25e85a4a7f9ea23902126432901ddca489c5d8284b46bba3735c9173619fe621385d626bc86
Homepage: https://cran.r-project.org/package=scico
Description: CRAN Package 'scico' (Colour Palettes Based on the Scientific Colour-Maps)
 Colour choice in information visualisation is important in order to avoid
 being mislead by inherent bias in the used colour palette. The 'scico'
 package provides access to the perceptually uniform and colour-blindness
 friendly palettes developed by Fabio Crameri and released under the
 "Scientific Colour-Maps" moniker. The package contains 24 different palettes
 and includes both diverging and sequential types.

Package: r-cran-scicomptools
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-chromote, r-cran-data.tree, r-cran-dplyr, r-cran-gitcreds, r-cran-googledrive, r-cran-magrittr, r-cran-purrr, r-cran-readxl, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyxl
Suggests: r-cran-ecodist, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-nlme, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scicomptools_1.1.1-1.ca2004.1_all.deb
Size: 265928
MD5sum: 9786a23978f4c10461dd39e7d3fbf000
SHA1: 4a102e9548381ae3e76b820cb6e0f21b3419d6af
SHA256: 4f278646ae39dc7cb208dbd7a02ab22a499d444640c6a91df60839c3665abf00
SHA512: 922f47afcca5453c8d508d9c3a65265b81e29b6fda967c978a956ce5ac9e909fa6ec4417615de7a48ab0d27f59abff1fcffb4053aced2c42da2ce06a6dded400
Homepage: https://cran.r-project.org/package=scicomptools
Description: CRAN Package 'scicomptools' (Tools Developed by the NCEAS Scientific Computing Support Team)
 Set of tools to import, summarize, wrangle, and visualize data.  These
 functions were originally written based on the needs of the various
 synthesis working groups that were supported by the National Center for
 Ecological Analysis and Synthesis (NCEAS).  These tools are meant to be
 useful inside and outside of the context for which they were designed.

Package: r-cran-scidesignr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 770
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scidesignr_1.0.0-1.ca2004.1_all.deb
Size: 458464
MD5sum: c111abaa952ee0f266dbfdf65cb548da
SHA1: 6629197b129e3177e0e9a73e2aedb08b3c6507aa
SHA256: b0744f1e2638eeb6b8090fb7c144a1005fa66e79dce14f4c3d94e533c3a317c9
SHA512: f1465ab41101397b3e98bd63aa4bc0ed4b038797f5d3693d009c9e35e9545c6f77a828ac2cf32f25c3b719cde65307746567b0e82d15acfd17fea5a02e06f6e7
Homepage: https://cran.r-project.org/package=scidesignR
Description: CRAN Package 'scidesignR' (Data Sets from Design and Analysis of Experiments andObservational Studies using R)
 Data used in Taback, N. (2022). Design and Analysis of Experiments and
 Observational Studies using R. Chapman & Hall/CRC.

Package: r-cran-scientific
Architecture: all
Version: 2025.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1545
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-xfun
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scientific_2025.1-1.ca2004.1_all.deb
Size: 128976
MD5sum: 2878cb27400cf8c195615998ba9d0a1f
SHA1: 1e15c4b357a27d1b546036cdc7a18226afaa3897
SHA256: faf284675f1b5ee86b1ffbe43bfda867d5efc565e5ab5ab0f8340169ccd20c36
SHA512: 985b3ddccbf30ce1fee0d3a539f65579ac1365dc760210798a14ae102febb21928b149b55bd5bf74cac1da9e5f630856ef0206cbb4e98f5669ac2ac35b2ed3a8
Homepage: https://cran.r-project.org/package=scientific
Description: CRAN Package 'scientific' (Two Highly Customizable 'rmarkdown' Themes for ScientificReports)
 Offers 'markdown' output formats designed with various styles, allowing
 users to generate HTML reports tailored for scientific or machine learning
 showcase. The output has a contemporary appearance with vibrant visuals,
 providing numerous styles for effective highlighting. Created using the
 'tufte' <https://rstudio.github.io/tufte/> package code as a starting point.

Package: r-cran-scientotext
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-tm
Filename: pool/dists/focal/main/r-cran-scientotext_0.1-1.ca2004.1_all.deb
Size: 59868
MD5sum: 741c29313923e7658fd265f98fdb0ae3
SHA1: a624a2a2fe7d611f8dad1ddbe1c04e15de77b3a6
SHA256: 0c75df8bebbb2a95d52e31c96e0504c52781fb91ad8c5799c44949b0a1124048
SHA512: 09a204b233c9fb19114f2ce6a52b7d97f92a426199bc1bfcda418b1677c7b10eac760d6635fc7c6854d4f2442ee2e54097bee0a2848b14daa8f3d9ec4a1c2d7f
Homepage: https://cran.r-project.org/package=scientoText
Description: CRAN Package 'scientoText' (Text & Scientometric Analytics)
 It involves bibliometric indicators calculation from bibliometric data.It
 also deals pattern analysis using the text part of bibliometric data.The
 bibliometric data are obtained from mainly Web of Science and Scopus.

Package: r-cran-scifigure
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 837
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-png
Filename: pool/dists/focal/main/r-cran-scifigure_0.2-1.ca2004.1_all.deb
Size: 563568
MD5sum: a2dd4d2f5e37e22102882f262ec5d812
SHA1: fab59869faa78a36f86090791e78fd61541f4232
SHA256: fe32c522601a5dcf86564a73eab23ba95a733743b5a8f72b42720526975126e8
SHA512: fc77fd8a0af1f18f316913d93110750d441a929eacb9dd5f2ef94e306e32385dece74f3a0cd5b5ba7a60e7ade494a77aea036afafa048fcf9945f534c37cd766
Homepage: https://cran.r-project.org/package=scifigure
Description: CRAN Package 'scifigure' (Visualize 'Reproducibility' and 'Replicability' in a Comparisonof Scientific Studies)
 Users may specify what fundamental qualities of a new study have or have not
 changed in an attempt to reproduce or replicate an original study. A
 comparison of the differences is visualized.  Visualization approach follows
 'Patil', 'Peng', and 'Leek' (2016) <doi:10.1101/066803>.

Package: r-cran-scimmunegraph
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3879
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcolorbrewer, r-cran-scales, r-cran-ggplot2, r-cran-cowplot, r-cran-tibble, r-cran-stringr, r-cran-tidyverse, r-cran-readr, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-gtools, r-cran-plyr, r-cran-forcats, r-cran-easypackages, r-bioc-biocstyle
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scimmunegraph_1.1.3-1.ca2004.1_all.deb
Size: 2571064
MD5sum: b94f59450102a66c200b37c3aa923e2f
SHA1: a6e10c43432f75c697a1ea77ccce21554f1fd8d5
SHA256: cf231e7d7efd1a095eb898db9a73f18e371be1f4363f1b75955e4ba912d3a79d
SHA512: faa90265b916a5435f78bae0386ae2e9bc1b75deeb9446ae8e6a8223e15b542eb1a83719399022cb0ec830137115b8dd9c31f1ad57236a38557feaeff37b0a06
Homepage: https://cran.r-project.org/package=scImmuneGraph
Description: CRAN Package 'scImmuneGraph' (Visualize the Basic Characteristics of Single-Cell ImmuneRepertoire)
 Statistics and visualization of the distribution, diversity and composition
 of clonotypes, the abundance and length distribution of CDR3, the respective
 abundance distribution of V and J genes, and the abundance of V-J gene pairs
 are the basic requirements for single-cell immune group analysis.
 'scImmuneGraph' is designed to process data from 10x Genomics Chromium
 Immune Profiling for T cell receptor (TCR) and immunoglobulin (Ig)
 enrichment workflows.

Package: r-cran-scimo
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4534
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-recipes, r-cran-dplyr, r-cran-generics, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scimo_0.0.2-1.ca2004.1_all.deb
Size: 4558152
MD5sum: 97ccec63d299a1e094527f9889fcf6e1
SHA1: 2b570f0e9193f14482bd032899c9a145cb49a65c
SHA256: f41d494e70f0bb1c4a626cfa1a6209df060a4030d2e96fbe75a260ca8a8408a5
SHA512: b1ac137a3f2d4b0e9e6289a9f52392a0dc3b0f7f590e53fcef11c3c589cf8b0ae7cb6060d1bfbf672b18cc2e765c5abf0440d21738330470b4cab364d19bd022
Homepage: https://cran.r-project.org/package=scimo
Description: CRAN Package 'scimo' (Extra Recipes Steps for Dealing with Omics Data)
 Omics data (e.g. transcriptomics, proteomics, metagenomics...)  offer a
 detailed and multi-dimensional perspective on the molecular components and
 interactions within complex biological (eco)systems.  Analyzing these data
 requires adapted procedures, which are implemented as steps according to the
 'recipes' package.

Package: r-cran-scina
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-scina_1.2.0-1.ca2004.1_all.deb
Size: 121080
MD5sum: 2839aa57d6304338ab8544420b842806
SHA1: 11b8e427e928560e5d0944d1c8e2b281e5780ef1
SHA256: 67cd5eb8c79f88a7c8d1c3a9a6b93a0fa663b3ff811c7e4434015a32aa0f3051
SHA512: 9f26b159ec90e4d4011b6edd8c7e89bede648887b2fb69172562afd93f0aa04a0fb12cecb9fb10ac68ca0101269275617c299062bfeeedfc0d90304a1bad2fac
Homepage: https://cran.r-project.org/package=SCINA
Description: CRAN Package 'SCINA' (A Semi-Supervised Category Identification and Assignment Tool)
 An automatic cell type detection and assignment algorithm for single cell
 RNA-Seq and Cytof/FACS data. 'SCINA' is capable of assigning cell type
 identities to a pool of cells profiled by scRNA-Seq or Cytof/FACS data with
 prior knowledge of markers, such as genes and protein symbols that are
 highly or lowly expressed in each category. See Zhang Z, et al (2019)
 <doi:10.3390/genes10070531> for more details.

Package: r-cran-sciplot
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sciplot_1.2-0-1.ca2004.1_all.deb
Size: 38564
MD5sum: b2397bf516605f8e7e6cb2bc8da97380
SHA1: 4b08025a794b440143c7bc944c669da79d914886
SHA256: b4324bfeb53c6927d8c9b7c50d6ad7dbcd7ec3a508d35caff3e52f064daab41a
SHA512: 35074d44282d2edfd71d15277ba6598eec8a2e2c8de6143862c628528194f2ce1782cd5c4a44a70c631334b70d77c764184bb315ee0e9abbe93cd27f22d1a75a
Homepage: https://cran.r-project.org/package=sciplot
Description: CRAN Package 'sciplot' (Scientific Graphing Functions for Factorial Designs)
 A collection of functions that creates graphs with error bars for data
 collected from one-way or higher factorial designs.

Package: r-cran-scipub
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-gghalves, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-spelling, r-cran-htmltable, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scipub_1.2.3-1.ca2004.1_all.deb
Size: 384288
MD5sum: c9f59afd0d5a15121eb05cd34da4bae3
SHA1: ce20bba1a89eeebbfd4bd17d8d2ac7d4c82f6174
SHA256: 2edeed3cc5452801406af05fb45266640294d766a0f2f8b90da6d57cc103701f
SHA512: ad2d2fb7d354e80fbf5b34fff1a060edfe78b2d2325311cdee6914b9343a02168a3a1a988bac94e547bdbaba9b33dc4c28633f5a3b782b5142bfb94d7b2c4d3c
Homepage: https://cran.r-project.org/package=scipub
Description: CRAN Package 'scipub' (Summarize Data for Scientific Publication)
 Create and format tables and APA statistics for scientific publication. This
 includes making a 'Table 1' to summarize demographics across groups,
 correlation tables with significance indicated by stars, and extracting
 formatted statistical summarizes from simple tests for in-text notation.
 The package also includes functions for Winsorizing data based on a
 Z-statistic cutoff.

Package: r-cran-scirmdtheme
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-scirmdtheme_0.1-1.ca2004.1_all.deb
Size: 22168
MD5sum: fd604fb0c282456215e02f501dcc75f3
SHA1: 3622a22b71632b09d7b14fc3174763634eb41a3a
SHA256: 567778f4f71d8c00a2608ffac0bfc3a398c7ba0b5ffebfac96c104cbe02dc966
SHA512: 98a3194127628f36bff65d3d3b1490f82f54113ab358189a4fced6314a0faccce1dcb46287dc1f70b527b4e365076709e607f4bf4ee7b6924913d3c55a559b44
Homepage: https://cran.r-project.org/package=sciRmdTheme
Description: CRAN Package 'sciRmdTheme' (Upgraded 'Rmarkdown' Themes for Scientific Writing)
 A set of 'Rmarkdown' themes for creating scientific and professional
 documents. Simple interface with features to ease navigation across the page
 and sub-pages.

Package: r-cran-scisr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 987
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cluster, r-cran-entropy, r-cran-irlba, r-cran-pinsplus, r-cran-matrixstats, r-cran-markdown
Suggests: r-cran-testthat, r-cran-knitr, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-scisr_0.1.1-1.ca2004.1_all.deb
Size: 955292
MD5sum: ce1d2804a34fa5d111cef3caf8446400
SHA1: 854fc2ef4dc053afe205a11b6f0a4fb9a545a485
SHA256: 6e39c11ee32355685c1d4d15329ef706e351ec717e315acb068420e11d5ca961
SHA512: 4d2a6beab45ad9d01d270f2ea35d4036eaf0dfe0cd6722b96d06bb4605604e386faaf7550df405645f04cc453389c0454d4bfc91d8fb49e04c7a07dc1cdf5b6b
Homepage: https://cran.r-project.org/package=scISR
Description: CRAN Package 'scISR' (Single-Cell Imputation using Subspace Regression)
 Provides an imputation pipeline for single-cell RNA sequencing data.  The
 'scISR' method uses a hypothesis-testing technique to identify zero-valued
 entries that are most likely affected by dropout events and estimates the
 dropout values using a subspace regression model (Tran et.al. (2022)
 <DOI:10.1038/s41598-022-06500-4>).

Package: r-cran-scitb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-nortest, r-cran-reshape2, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-scitb_0.2.1-1.ca2004.1_all.deb
Size: 66540
MD5sum: 1389aef9657c5ce3180e9de757985826
SHA1: fd352129d4b5bbc63ff1e09031229fb484370fd1
SHA256: 33b6d3aef955dd6a1523a2a7efdc43becf958bb6c64d0c836324d0be3e88bc71
SHA512: 3759d737da44311a2d45ad46ef429f7692aa3467a47284fc640f2b33e2e3702f759524a28984a698b61212356fcba4659572dede9606fe413c03dbd6d8b39564
Homepage: https://cran.r-project.org/package=scitb
Description: CRAN Package 'scitb' (Provides Some Useful Functions for Making Statistical Tables)
 You can use the functions provided by the package to make various
 statistical tables, such as baseline data tables. Creates 'Table 1', i.e., a
 description of the baseline patient characteristics, which is essential in
 every medical research.  Supports both continuous and categorical variables,
 as well as p-values and standardized mean differences.  This method was
 described by Mary L McHugh (2013) <doi:10.11613/bm.2013.018>.

Package: r-cran-sciviews
Architecture: all
Version: 0.9-13.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ellipse
Suggests: r-cran-mass, r-cran-covr, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sciviews_0.9-13.2-1.ca2004.1_all.deb
Size: 115696
MD5sum: 5f414f56adefe1428287969bbb8a8fd3
SHA1: c96089b224512e017c3e3e982ed3e6b06d4306f8
SHA256: 3534075f361b1a38624294931b3166f7bbdc17f3187c46bf2144ff80d6390e8e
SHA512: 539bee82496cb62b345647eb6e51c8e08dbfa0814f3022371ebba4aac4a9214552ef3fdce6ab317ee46820df16c3bbabf442467f5569f9995526021a01fa0903
Homepage: https://cran.r-project.org/package=SciViews
Description: CRAN Package 'SciViews' (SciViews - Main package)
 Functions to install SciViews additions to R, and more tools.

Package: r-cran-sclink
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4590
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sclink_1.0.1-1.ca2004.1_all.deb
Size: 4618648
MD5sum: 8909b1aa8e5055ee5d9edabb82bc2d58
SHA1: 288cd77d47fe6033ec2179785b17fc42dac52ce8
SHA256: dad24ca01b75b6e0887e0fa0485014dbb0fd649e8d3e6810a5c64470e31b232c
SHA512: 530354d0c61c046b9e0a08a469f017fc25d85d25fba8a05bc83ec9e11220b95cc7e5afa09b9435a132504d8c476923458e11e350e5ba533a9bfcb11dd1032e91
Homepage: https://cran.r-project.org/package=scLink
Description: CRAN Package 'scLink' (Inferring Functional Gene Co-Expression Networks from SingleCell Data)
 Uses statistical network modeling to understand the co-expression
 relationships among genes and to construct sparse gene co-expression
 networks from single-cell gene expression data.

Package: r-cran-sclr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-tibble, r-cran-dplyr, r-cran-rlang, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sclr_0.3.1-1.ca2004.1_all.deb
Size: 209184
MD5sum: 429c5cc27315ef68ff6d9843fed2ac55
SHA1: 03f85ad5d2b6a1a02ef4c19334941fbf1e2adb61
SHA256: b44b345de2bce2c8c29ed5b0bed63b2ba685bf4518b76b352b4a654f89261fdc
SHA512: 2722d679d54767facaf268d072d5f1cf71e101adac6d2b8f63fa272ee01307cb92406d57cc10298adc257084bc94b961b4c86c9e86f98119177c228946e3add4
Homepage: https://cran.r-project.org/package=sclr
Description: CRAN Package 'sclr' (Scaled Logistic Regression)
 Maximum likelihood estimation of the scaled logit model parameters proposed
 in Dunning (2006) <doi:10.1002/sim.2282>.

Package: r-cran-sclust
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-class
Filename: pool/dists/focal/main/r-cran-sclust_1.0-1.ca2004.1_all.deb
Size: 96044
MD5sum: 963332af629c760032fdb40499ae8756
SHA1: c0b0d2a9e71cc25da97370f81c66ee9519481163
SHA256: 952554f78d3dbe21bb8a06808e44783e4a462c65f4a4e6c34cfa87f73ee66f6a
SHA512: 7c3f5d853f473eb2d9801af711b429b98910ed79e343ecc42b473d031b266b8c49dbc8565dec0085ccda743e22e7826d37b117f472c4429470cf6d994f49abb6
Homepage: https://cran.r-project.org/package=sClust
Description: CRAN Package 'sClust' (R Toolbox for Unsupervised Spectral Clustering)
 Toolbox containing a variety of spectral clustering tools functions. Among
 the tools available are the hierarchical spectral clustering algorithm, the
 Shi and Malik clustering algorithm, the Perona and Freeman algorithm, the
 non-normalized clustering, the Von Luxburg algorithm, the Partition Around
 Medoids clustering algorithm, a multi-level clustering algorithm, recursive
 clustering and the fast method for all clustering algorithm. As well as
 other tools needed to run these algorithms or useful for unsupervised
 spectral clustering. This toolbox aims to gather the main tools for
 unsupervised spectral classification. See <http://mawenzi.univ-littoral.fr/>
 for more information and documentation.

Package: r-cran-scma
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scma_1.3.1-1.ca2004.1_all.deb
Size: 25328
MD5sum: 36b85f86895b2fa1d5198df28916b46f
SHA1: 6ba1f61bb6f893830f698feddc3caa9f91795b85
SHA256: b2db6d4ae3fd5e16c80ec91bda5282cce4e514c7cf4b5ee56a58c2be8cd3796f
SHA512: e51304007fcb025cee6ce4036d4ecae811ee887d026580831bcb0f1df1fcbf90c97e8a6fac14cde30e05addfd627cd059f4d968aeacda70ff9be5c37562797ac
Homepage: https://cran.r-project.org/package=SCMA
Description: CRAN Package 'SCMA' (Single-Case Meta-Analysis)
 Perform meta-analysis of single-case experiments, including calculating
 various effect size measures (SMD, PND, PEM and NAP) and probability
 combining (additive and multiplicative method), as discussed in Bulte and
 Onghena (2013) <doi:10.22237/jmasm/1383280020>.

Package: r-cran-scmappr
Architecture: all
Version: 1.0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 961
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-pheatmap, r-cran-seurat, r-bioc-gsva, r-cran-downloader, r-bioc-pcamethods, r-cran-gprofiler, r-cran-limsolve, r-cran-gprofiler2, r-cran-pbapply, r-cran-adapts, r-cran-reshape
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scmappr_1.0.12-1.ca2004.1_all.deb
Size: 836500
MD5sum: 4eeef8f8aa12695731f21032720e8171
SHA1: 2faf8102bec07d9f67d1bc41cf2e34cdb3aaace5
SHA256: d7d49e3258bed9645f5bf77d224774ec511e69d5ab5a771c250126a2f18b404b
SHA512: bafad43c69831d8b36b1a4c307c1e4832e9e0f75c832d89224842f7312d8d13b3b29ed809c4ca6d994699f5a3faccac90806c672eea087ee14e08f4bd4fcf96c
Homepage: https://cran.r-project.org/package=scMappR
Description: CRAN Package 'scMappR' (Single Cell Mapper)
 The single cell mapper (scMappR) R package contains a suite of bioinformatic
 tools that provide experimentally relevant cell-type specific information to
 a list of differentially expressed genes (DEG). The function
 "scMappR_and_pathway_analysis" reranks DEGs to generate cell-type
 specificity scores called cell-weighted fold-changes. Users input a list of
 DEGs, normalized counts, and a signature matrix into this function. scMappR
 then re-weights bulk DEGs by cell-type specific expression from the
 signature matrix, cell-type proportions from RNA-seq deconvolution and the
 ratio of cell-type proportions between the two conditions to account for
 changes in cell-type proportion. With cwFold-changes calculated, scMappR
 uses two approaches to utilize cwFold-changes to complete cell-type specific
 pathway analysis. The "process_dgTMatrix_lists" function in the scMappR
 package contains an automated scRNA-seq processing pipeline where users
 input scRNA-seq count data, which is made compatible for scMappR and other R
 packages that analyze scRNA-seq data. We further used this to store hundreds
 up regularly updating signature matrices. The functions
 "tissue_by_celltype_enrichment", "tissue_scMappR_internal", and
 "tissue_scMappR_custom" combine these consistently processed scRNAseq count
 data with gene-set enrichment tools to allow for cell-type marker enrichment
 of a generic gene list (e.g. GWAS hits). Reference: Sokolowski,D.J.,
 Faykoo-Martinez,M., Erdman,L., Hou,H., Chan,C., Zhu,H., Holmes,M.M.,
 Goldenberg,A. and Wilson,M.D. (2021) Single-cell mapper (scMappR): using
 scRNA-seq to infer cell-type specificities of differentially expressed
 genes. NAR Genomics and Bioinformatics. 3(1). Iqab011.
 <doi:10.1093/nargab/lqab011>.

Package: r-cran-scontomatch
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4924
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ontologyindex, r-cran-ontologyplot, r-cran-purrr
Suggests: r-cran-knitr, r-cran-devtools, r-cran-seuratobject
Filename: pool/dists/focal/main/r-cran-scontomatch_0.1.1-1.ca2004.1_all.deb
Size: 2787536
MD5sum: 91764e04b7cfa2de930cf21d7cc80558
SHA1: 350163658dd6d5e28c3039cd1eda9254e9f4c648
SHA256: 6bb87f209be3efdd051224de2a9480c6dd9e646453ed40831acdd77951357102
SHA512: 767a5e6ba799286016f56d4920accf523d776a37b8aa50539e83700850e7631789dbf1e1ae4c9306fc894229d84913664461858df4754820472d05de6e47ab16
Homepage: https://cran.r-project.org/package=scOntoMatch
Description: CRAN Package 'scOntoMatch' (Aligning Ontology Annotation Across Single Cell Datasets with'scOntoMatch')
 Unequal granularity of cell type annotation makes it difficult to compare
 scRNA-seq datasets at scale. Leveraging the ontology system for defining
 cell type hierarchy, 'scOntoMatch' aims to align cell type annotations to
 make them comparable across studies. The alignment involves two core steps:
 first is to trim the cell type tree within each dataset so each cell type
 does not have descendants, and then map cell type labels cross-studies by
 direct matching and mapping descendants to ancestors. Various functions for
 plotting cell type trees and manipulating ontology terms are also provided.
 In the Single Cell Expression Atlas hosted at EBI, a compendium of datasets
 with curated ontology labels are great inputs to this package.

Package: r-cran-scopr
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-behavr, r-cran-data.table, r-cran-readr, r-cran-stringr, r-cran-rsqlite, r-cran-memoise
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-ggetho, r-cran-zeitgebr
Filename: pool/dists/focal/main/r-cran-scopr_0.3.5-1.ca2004.1_all.deb
Size: 217252
MD5sum: 1930498e2229568d99f4bf8a8704ca58
SHA1: f7a56c790ffaa8fabca9440e2ba34ac5a7ca3d19
SHA256: 61ace2431021c1e6336555e20094966eca664cd89ac2db978094bcf6bca3da35
SHA512: 2ee8d2d012dfb30ffca3e3082dc493a6e8b52e35748f4006aab1bfe9d73a39f240fbf52da4888742d3fef76a353f56566ba31f2dcc359dc47275371a75c60095
Homepage: https://cran.r-project.org/package=scopr
Description: CRAN Package 'scopr' (Read Ethoscope Data)
 Handling of behavioural data from the Ethoscope platform (Geissmann, Garcia
 Rodriguez, Beckwith, French, Jamasb and Gilestro (2017)
 <DOI:10.1371/journal.pbio.2003026>).  Ethoscopes
 (<https://giorgiogilestro.notion.site/Ethoscope-User-Manual-a9739373ae9f4840aa45b277f2f0e3a7>)
 are an open source/open hardware framework made of interconnected raspberry
 pis (<https://www.raspberrypi.org>) designed to quantify the behaviour of
 multiple small animals in a distributed and real-time fashion. The default
 tracking algorithm records primary variables such as xy coordinates,
 dimensions and speed.  This package is part of the rethomics framework
 <https://rethomics.github.io/>.

Package: r-cran-scopro
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-ciara, r-cran-rmarkdown, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-scopro_0.1.0-1.ca2004.1_all.deb
Size: 331044
MD5sum: aca0b23af6f68a4303306a19294f7e71
SHA1: 7347ee95fa417386a8bad2e494a47703264997e0
SHA256: 3caaaa24b369650a2f596ccf9d4993790d0c52adf86bc02721b9f3ca5af9d40a
SHA512: 708fd93f7dc5eb23c002efe5c94307e2c75254388e87ab9a1caaccfc45cf0fde2c4293bcfc363a136c428d6cc299b55cb0f6621a2340c415f905f9cc2c96178e
Homepage: https://cran.r-project.org/package=SCOPRO
Description: CRAN Package 'SCOPRO' (Score Projection Between in 'Vivo' and in 'Vitro' Datasets)
 Assigns a score projection from 0 to 1 between a given in 'vivo' stage and
 each single cluster from an in 'vitro' dataset. The score is assigned based
 on the the fraction of specific markers of the in 'vivo' stage that are
 conserved in the in 'vitro' clusters <https://github.com/ScialdoneLab>.

Package: r-cran-scor
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-scor_1.1.2-1.ca2004.1_all.deb
Size: 60432
MD5sum: d3dda513a47cd7d02ec8ebdac23bacf4
SHA1: f3ddcbea039714394047d18a967ce7433472a8b8
SHA256: 20a286ab3591318fbd92e269a522deb48b2e769bde4d136f33203f59cee7d3b7
SHA512: c5df1b9bf1fbb0d6240c1b6f73a1e1ea7f884bb95c0de5563a91f9c35c0f2f67bff571312be9d625741c7889ae33448573c071a0df37902e2252e3da36b45ff4
Homepage: https://cran.r-project.org/package=SCOR
Description: CRAN Package 'SCOR' (Spherically Constrained Optimization Routine)
 A non convex optimization package that optimizes any function under the
 criterion, combination of variables are on the surface of a unit sphere, as
 described in the paper : Das et al. (2019) <arXiv:1909.04024> .

Package: r-cran-score
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm
Filename: pool/dists/focal/main/r-cran-score_1.0.2-1.ca2004.1_all.deb
Size: 36488
MD5sum: 35eab4c8bf17b3a307c7c94d8450915d
SHA1: 380ebba2cfc4a893cbbdadcbb74022ed2a2c917e
SHA256: 0b4ab670bcb5bc6d53508b430b7d383f9b58c84de4511cbba9046a12461b9d12
SHA512: 0b50933a2e7056b14d1bb2b73c920c502af80a8b64bebac0b23f872442356ea3e907a290a78dcc4350c61c31bcc88f623c6b6f01663cc38485c1f477e17fe509
Homepage: https://cran.r-project.org/package=score
Description: CRAN Package 'score' (A Package to Score Behavioral Questionnaires)
 Provides routines for scoring behavioral questionnaires. Includes scoring
 procedures for the 'International Physical Activity Questionnaire (IPAQ)'
 <http://www.ipaq.ki.se>. Compares physical functional performance to the
 age- and gender-specific normal ranges.

Package: r-cran-scorecard
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-foreach, r-cran-doparallel, r-cran-openxlsx, r-cran-stringi, r-cran-cli, r-cran-xml2, r-cran-xefun
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scorecard_0.4.4-1.ca2004.1_all.deb
Size: 366688
MD5sum: 717ae4eb3e0aa440323a01a0835e62db
SHA1: 4785e2404856a9f2dd819ad824b945b21f5a7aa2
SHA256: 06516d894faf2af44719e1dd5e13ce36a19052327b009c52a52984cbb76f70e0
SHA512: f6859aa411aa88b8307c22bc5a90dec88fd8874b1d18d6d50e17db41e202e0cae35147b3eac65c31189315502e685781652232fdec50e35119ea0ea150025cfc
Homepage: https://cran.r-project.org/package=scorecard
Description: CRAN Package 'scorecard' (Credit Risk Scorecard)
 The `scorecard` package makes the development of credit risk scorecard
 easier and efficient by providing functions for some common tasks, such as
 data partition, variable selection, woe binning, scorecard scaling,
 performance evaluation and report generation. These functions can also used
 in the development of machine learning models.  The references including: 1.
 Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard: Development
 and Implementation Using SAS.  2. Siddiqi, N. (2006, ISBN: 9780471754510).
 Credit risk scorecards.  Developing and Implementing Intelligent Credit
 Scoring.

Package: r-cran-scorecardmodelutils
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car, r-cran-e1071, r-cran-gbm, r-cran-partykit, r-cran-randomforest, r-cran-reshape2, r-cran-sqldf, r-cran-stringr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-scorecardmodelutils_0.0.1.0-1.ca2004.1_all.deb
Size: 141104
MD5sum: dfcfe4d1db87433c532a164cfc044801
SHA1: d63be5284ef2125bf0ba987b9d543aac945531d4
SHA256: 965aeae331446632c6552c2a775c6b10d09778c49d035eafaa7876986206ae9e
SHA512: eaf83584011e1039e42480ace35af83cad5cb7bae8fa87c8740b62ac4d72c9637779c474bf459c51f43b23fb9b3dcc0de193032d3947951e0c6b2730573a5bf7
Homepage: https://cran.r-project.org/package=scorecardModelUtils
Description: CRAN Package 'scorecardModelUtils' (Credit Scorecard Modelling Utils)
 Provides infrastructure functionalities such as missing value treatment,
 information value calculation, GINI calculation etc. which are used for
 developing a traditional credit scorecard as well as a machine learning
 based model. The functionalities defined are standard steps for any credit
 underwriting scorecard development, extensively used in financial domain.

Package: r-cran-scoreggum
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scoreggum_1.0-1.ca2004.1_all.deb
Size: 38172
MD5sum: dc1f0269d6881b01f10ede4f1ad9559c
SHA1: 1b9891f9a76a00a547b17f04b2230a2c837c638b
SHA256: e9e3699b1c765534e56f392036418f30029dbacc02eb177273f8f9b8b7d4f1da
SHA512: 5d83fb7af6f0271173f41ba3d2d6631380f55026de0576e6e956d0b005e320a3425c593c9e03c987db1425db2fea13a03de16730ef84e078db020cc1613c1f2e
Homepage: https://cran.r-project.org/package=ScoreGGUM
Description: CRAN Package 'ScoreGGUM' (Score Persons Using the Generalized Graded Unfolding Model)
 Estimate GGUM Person Parameters Using Pre-Calibrated Item Parameters and
 Binary or Graded Disagree-Agree Responses

Package: r-cran-scoreplus
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-limsolve, r-cran-rspectra, r-cran-igraph, r-cran-igraphdata
Filename: pool/dists/focal/main/r-cran-scoreplus_0.1-1.ca2004.1_all.deb
Size: 38352
MD5sum: 6b4ef4009e57c57139a51b4d984c4dde
SHA1: 6a6787b561cee350629c6891c9f569682ee642bb
SHA256: 41a09cd6b7811fa4bf8463ff239b5bf6e7e27890f5f18f60267b40a0c4c723ca
SHA512: 0196a484c2193a648e8f551d19eb8ce98ed5d8318d3c2865fae08695c22403c609d34bf2823280e05b41fabf8b09df34a4f8a9228a3e1b4e30dda155b9d5a8c3
Homepage: https://cran.r-project.org/package=ScorePlus
Description: CRAN Package 'ScorePlus' (Implementation of SCORE, SCORE+ and Mixed-SCORE)
 Implementation of community detection algorithm SCORE in the paper J. Jin
 (2015) <arXiv:1211.5803>, and SCORE+ in J. Jin, Z. Ke and S. Luo (2018)
 <arXiv:1811.05927>. Membership estimation algorithm called Mixed-SCORE in J.
 Jin, Z. Ke and S. Luo (2017) <arXiv:1708.07852>.

Package: r-cran-scorer2
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scorer2_0.99.0-1.ca2004.1_all.deb
Size: 41432
MD5sum: 427fc5a1956c87834fdfd02fb116db37
SHA1: 9cc6cff1ab15eaf746e7f3ee469734d2447ac4a2
SHA256: d5adcb3660c3d770bdb117a9ff39da5e42fc906e5889efb83c179a6c40d43411
SHA512: 533b41b56c537c287029827f4f002ae6f0e08ea282cc9fab655db6e2856536dc323757bd771a8a363b0202f51ed31b8f93caacb6272f55688485e046ec23029d
Homepage: https://cran.r-project.org/package=SCORER2
Description: CRAN Package 'SCORER2' (SCORER 2.0: an algorithm for distinguishing parallel dimeric andtrimeric coiled-coil sequences)
 This package contains the functions necessary to run the SCORER 2.0
 algorithm. SCORER 2.0 can be used to differentiate between parallel dimeric
 and trimeric coiled-coil sequence, which are the two most more frequent
 coiled-coil structures observed naturally. As such, SCORER 2.0 is
 particularly useful for researchers looking to characterize novel
 coiled-coil sequences. It may also be used to assist in the structural
 characterization of synthetic coiled-coil sequences. Also included in this
 package are functions that allows the user to retrain the SCORER 2.0
 algorithm using user-defined training data.

Package: r-cran-scoring
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scoring_0.6-1.ca2004.1_all.deb
Size: 213268
MD5sum: a002026b6e6b93d8b1800f8c31cf743a
SHA1: 3d8c8059ed9070a98d5c9bb5340502d9c7443314
SHA256: ad009f1fd9ba153b2e927755617da949140433babc66650433663cee9c31291d
SHA512: 4e48ba78222f82b5816343dfac51ca6dde21c7113c01beee6e2d87ad9097bc1ae9a4b82743f0a6bb2d7a79189bf74f21f9001f8eba6c60ba702d09c948b75262
Homepage: https://cran.r-project.org/package=scoring
Description: CRAN Package 'scoring' (Proper Scoring Rules)
 Evaluating probabilistic forecasts via proper scoring rules.  scoring
 implements the beta, power, and pseudospherical families of proper scoring
 rules, along with ordered versions of the latter two families.  Included
 among these families are popular rules like the Brier (quadratic) score,
 logarithmic score, and spherical score.  For two-alternative forecasts, also
 includes functionality for plotting scores that one would obtain under
 specific scoring rules.

Package: r-cran-scoringfunctions
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scoringfunctions_1.1-1.ca2004.1_all.deb
Size: 245960
MD5sum: 199e71c8949f7d0a7d9553b7905035cf
SHA1: 6364a354227d57ea27888ac6df54b19a5e4285fe
SHA256: c977b3b132e9957af825d0a9d641e925483dc51e4091432c79ae7a74761bec50
SHA512: 5e107bbada16d47a4e9300b5d5a26041a4234b4927aedc31eaee22559ab53553538a7380b66e5e4345ff976e121cd528502fc1448d67622622e8fc35a7cf2521
Homepage: https://cran.r-project.org/package=scoringfunctions
Description: CRAN Package 'scoringfunctions' (A Collection of Loss Functions for Assessing Point Forecasts)
 Implements multiple consistent scoring functions (Gneiting T (2011)
 <doi:10.1198/jasa.2011.r10138>) for assessing point forecasts and point
 predictions. Detailed documentation of scoring functions' properties is
 included for facilitating interpretation of results.

Package: r-cran-scoringtools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 865
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-discretization, r-cran-sqldf, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-mass, r-cran-rpart, r-cran-rmixmod, r-cran-mvtnorm, r-cran-ggplot2, r-cran-speedglm, r-cran-knitr, r-cran-rmarkdown, r-cran-plotly, r-cran-proc, r-cran-shiny, r-cran-dt, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-scoringtools_0.1.3-1.ca2004.1_all.deb
Size: 377396
MD5sum: 6e8b653497587c2c2f4fb954b5e6c286
SHA1: fb54335c741bbcdc9e1bc35254b2237f6b4acee4
SHA256: af13175abeea87534373926c2386f0245977fe29c55e741e0edd1855dd2c63aa
SHA512: 6c09d57c10797f04059227a772a4bd0911b543f54f64bae6d75afd398253732efb361bb0dbf05af5246b641052718bca5095946b8449c2f06e4b78127d27ced0
Homepage: https://cran.r-project.org/package=scoringTools
Description: CRAN Package 'scoringTools' (Credit Scoring Tools)
 Grouping essential tools for credit scoring. These statistical tools may be
 useful for other use-cases as well but were primarily designed for it.
 First, there are Reject Inference methods (Ehrhardt et al. (2017)
 <arXiv:1903.10855>). Second, we build upon the already CRAN-available
 package 'discretization' to automate discretization of continuous features.

Package: r-cran-scoringutils
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3392
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-ggplot2, r-cran-metrics, r-cran-purrr, r-cran-scoringrules
Suggests: r-cran-ggdist, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-scoringutils_2.1.1-1.ca2004.1_all.deb
Size: 2499960
MD5sum: 3d1c810c1bad51ec79d68de64c8d9796
SHA1: f080c3979a97c941d0124f2da447c5f461be41d8
SHA256: c83b629dddb20f5de1bfa543ad59bb43806ae3858059129cfd82f9102030e851
SHA512: 812d2886d03b9b6589a2b8221f5b01172769451cca1265b027fa4e7b767ed38162c7fd88b80a54c853df51ca28537486143994feaa58a30249430288ab92fdf0
Homepage: https://cran.r-project.org/package=scoringutils
Description: CRAN Package 'scoringutils' (Utilities for Scoring and Assessing Predictions)
 Facilitate the evaluation of forecasts in a convenient framework based on
 data.table. It allows user to to check their forecasts and diagnose issues,
 to visualise forecasts and missing data, to transform data before scoring,
 to handle missing forecasts, to aggregate scores, and to visualise the
 results of the evaluation. The package mostly focuses on the evaluation of
 probabilistic forecasts and allows evaluating several different forecast
 types and input formats. Find more information about the package in the
 Vignettes as well as in the accompanying paper,
 <doi:10.48550/arXiv.2205.07090>.

Package: r-cran-scorpion
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-irlba, r-cran-igraph, r-cran-rann, r-cran-matrix, r-cran-pbapply, r-cran-rhpcblasctl
Filename: pool/dists/focal/main/r-cran-scorpion_1.0.2-1.ca2004.1_all.deb
Size: 880512
MD5sum: de90b25804f75e312a9c2c8f82a9430c
SHA1: 4002cf8890def5421229d3ecbfe7678f05c47ff9
SHA256: 653facdea9e321812188678897f5074361a0b378a0430355d23df587095205f4
SHA512: 8da2c805545269376e52568505203ef263f103e57aaa071d260f648c2cacfc8883c640b4200b4a6d8f336d0b4c95c3f0700a8442c3df351607fb7715831c7dae
Homepage: https://cran.r-project.org/package=SCORPION
Description: CRAN Package 'SCORPION' (Single Cell Oriented Reconstruction of PANDA IndividualOptimized Networks)
 Constructs gene regulatory networks from single-cell gene expression data
 using the PANDA (Passing Attributes between Networks for Data Assimilation)
 algorithm.

Package: r-cran-scorpius
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2553
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-dynutils, r-cran-dynwrap, r-cran-ggplot2, r-cran-lmds, r-cran-mass, r-cran-matrix, r-cran-mclust, r-cran-pbapply, r-cran-pheatmap, r-cran-princurve, r-cran-purrr, r-cran-ranger, r-cran-rann, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-tidyr, r-cran-tsp
Suggests: r-cran-anndata, r-cran-covr, r-cran-knitr, r-cran-reticulate, r-cran-rmarkdown, r-cran-seurat, r-bioc-singlecellexperiment, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scorpius_1.0.9-1.ca2004.1_all.deb
Size: 2219764
MD5sum: 58f39e3dbbf4143ca3f8c6b0ee3a4e5b
SHA1: 0617d0f002ec47adae306bb18b7395d75239dc9f
SHA256: bec0e93f5dd0bd5f33dd93b53cfcd69d3b8b9e7548f540268f324f41447692c6
SHA512: 65d614f33d3d52d4a712b06e299ed1209b9a1ea9369b66653193654dec0109118254baeea517c2e0b742038e6eae0132a2de7e757880f422d400dd693183ea81
Homepage: https://cran.r-project.org/package=SCORPIUS
Description: CRAN Package 'SCORPIUS' (Inferring Developmental Chronologies from Single-Cell RNASequencing Data)
 An accurate and easy tool for performing linear trajectory inference on
 single cells using single-cell RNA sequencing data. In addition, 'SCORPIUS'
 provides functions for discovering the most important genes with respect to
 the reconstructed trajectory, as well as nice visualisation tools.  Cannoodt
 et al. (2016) <doi:10.1101/079509>.

Package: r-cran-scottknott
Architecture: all
Version: 1.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doby, r-cran-xtable
Suggests: r-cran-lme4
Filename: pool/dists/focal/main/r-cran-scottknott_1.3-3-1.ca2004.1_all.deb
Size: 150260
MD5sum: c3608dffe7d35d66a3df63fa4fc22e50
SHA1: 79ec8c0061af3e8d0aad76a910a235c5179b93ef
SHA256: ea40567ac9712394121a1cadb56c19e7ff5b99f0e5829d3f40d0dbc9dcb4a049
SHA512: 94461a510fd841a5b1918c56e2e9d5cd0540c114fb3a078a3240a0ce4f1f837f477eb7dd76d9e4023391e5e26816c7b60e5b9dbe6e453b238681b5df76a5c25c
Homepage: https://cran.r-project.org/package=ScottKnott
Description: CRAN Package 'ScottKnott' (The ScottKnott Clustering Algorithm)
 Perform the balanced (Scott and Knott, 1974) and unbalanced
 <doi:10.1590/1984-70332017v17n1a1> Scott & Knott algorithm.

Package: r-cran-scottknottesd
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2, r-cran-effsize, r-cran-car, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-scottknottesd_2.0.3-1.ca2004.1_all.deb
Size: 315696
MD5sum: 18b7c28d78aaecbc1f7f1b0e36f4ca34
SHA1: 6aea4c8762347cc1cce3bfe9d74eae53bada886b
SHA256: bd50616691eac30ed95acfe180ebb834acce1f85c3204962a7a3aa77229bc49f
SHA512: f763446bf714393d95a21fddd490673c48e668dc63c3b2a9632df11e14db166c8f7daff66a4f78dd074ab2611222d5bc05e7591fcac839a1e3e1bc27bfe58fbe
Homepage: https://cran.r-project.org/package=ScottKnottESD
Description: CRAN Package 'ScottKnottESD' (The Scott-Knott Effect Size Difference (ESD) Test)
 The Scott-Knott Effect Size Difference (ESD) test is a mean comparison
 approach that leverages a hierarchical clustering to partition the set of
 treatment means (e.g., means of variable importance scores, means of model
 performance) into statistically distinct groups with non-negligible
 difference [Tantithamthavorn et al., (2018) <doi:10.1109/TSE.2018.2794977>].

Package: r-cran-scoutbar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-reactr, r-cran-shiny
Suggests: r-cran-testthat, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-scoutbar_0.2.0-1.ca2004.1_all.deb
Size: 223732
MD5sum: fff2e22073f088c71163d431445d6e53
SHA1: eb63dc884b96d0b5feaea0789ab382c6efa5efaa
SHA256: 0a9eafaef989ffe44ba678b3f658fc2ae9b6d91006b95001de314caef3f83a14
SHA512: de93daa0e6acc4be23c732e8655dfd3a20b52bab862f90378b2f067f245fdb498925cf022e46f42f37fb4b035721e2b8d80416ff0e14df44fead0022580c2077
Homepage: https://cran.r-project.org/package=scoutbaR
Description: CRAN Package 'scoutbaR' (A Spotlight 'React' Widget for 'shiny' Apps)
 Creates a contextual menu that can be triggered with keyboard shortcuts or
 programmatically.  This can replace traditional sidebars or navigation bars,
 thereby enhancing the user experience with lighter user interfaces.

Package: r-cran-scouter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scouter_1.0.0-1.ca2004.1_all.deb
Size: 145924
MD5sum: 8a1677336e9046ae68fab3c873524764
SHA1: 42a54fb278f6394edff16c159ebf65fb38d639bf
SHA256: 2d0eb776e5056ebacd3e570fe8f7f00cb2ea01925934a0b28fbdff98f0c6e762
SHA512: 81392d956a54a63643c7de36228d64684756c3c4f440628a7eedec69616dc4c418d608b3dbe6799f05c7797349b36e2bdffca6b0c4d2e25e9bd4a9daa9d974e3
Homepage: https://cran.r-project.org/package=SCOUTer
Description: CRAN Package 'SCOUTer' (Simulate Controlled Outliers)
 Using principal component analysis as a base model, 'SCOUTer' offers a new
 approach to simulate outliers in a simple and precise way.  The user can
 generate new observations defining them by a pair of well-known statistics:
 the Squared Prediction Error (SPE) and the Hotelling's T^2 (T^2) statistics.
 Just by introducing the target values of the SPE and T^2, 'SCOUTer' returns
 a new set of observations with the desired target properties.  Authors: Alba
 González, Abel Folch-Fortuny, Francisco Arteaga and Alberto Ferrer (2020).

Package: r-cran-scperf
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scperf_1.1.1-1.ca2004.1_all.deb
Size: 44636
MD5sum: f2d4c4a6d5582f23dd7e93ea2639e78e
SHA1: 21b64e898c03db4b5312a58020cb20f026851bf1
SHA256: ff27e331ebe838964aa6055663a97a3b5b493c7b126ebac35a3a22a57748178e
SHA512: a2a58f14f97f6b1ed8ed21b9e742c1ccd813927b06c1f17bd2884c8e64e5a6e76d1f635447d3f09299472bed7d9c46105d9b749d8f3ca66bf191df4a50183d8e
Homepage: https://cran.r-project.org/package=SCperf
Description: CRAN Package 'SCperf' (Functions for Planning and Managing Inventories in a SupplyChain)
 Implements different inventory models, the bullwhip effect and other supply
 chain performance variables. Marchena Marlene (2010) <arXiv:1009.3977>.

Package: r-cran-scperturbr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-seurat, r-cran-dplyr, r-cran-rdist, r-cran-energy
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scperturbr_0.1.0-1.ca2004.1_all.deb
Size: 17616
MD5sum: 9b4581deabe3bae1cce26680f0154c17
SHA1: c734bc45471a63ed75a01d3ae78d9a2f4e27c1cb
SHA256: 2ad72940795f34cb22fc0ba79b76cac4a32cc56ed55f0b9bdad0a8c65a23ad9b
SHA512: 64166f0e5025a4c7e6a90291567b5ee598ce12f1681ac405298955e33bd61e316be0df0992239889480a528a05bb625877eb95c6713e3ae3ce41d87837bf8bf7
Homepage: https://cran.r-project.org/package=scperturbR
Description: CRAN Package 'scperturbR' (E-Statistics for Seurat Objects)
 R version of 'scperturb' tool for single-cell perturbation analysis.
 Contains wrappers for performing E-statistics for Seurat objects.  More
 details on the method can be found in Peidli et al. (2023)
 <doi:10.1101/2022.08.20.504663> and in Székely and Rizzo (2004).

Package: r-cran-scpi
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-cvxr, r-cran-dosnow, r-cran-dplyr, r-cran-ecosolver, r-cran-fastdummies, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-cran-purrr, r-cran-qtools, r-cran-reshape2, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scpi_3.0.0-1.ca2004.1_all.deb
Size: 369868
MD5sum: ecab30e193e5c82e5c96c6df7c3d7efb
SHA1: 01b0004253bea3068649a7c3fdd36b14214b3a8e
SHA256: 34009f57b11862430b62cf5be8372bd8e2de53cf78eea23e04d0418c6c5ce84d
SHA512: d884163642b99a91cd10963e98d44afb07035f1a04d997ef7fc64b5c22af13e98c76a45564e22ebe1e1d528440dacf1322e6369c3c325b0e8674937ceb9be688
Homepage: https://cran.r-project.org/package=scpi
Description: CRAN Package 'scpi' (Prediction Intervals for Synthetic Control Methods with MultipleTreated Units and Staggered Adoption)
 Implementation of prediction and inference procedures for Synthetic Control
 methods using least square, lasso, ridge, or simplex-type constraints.
 Uncertainty is quantified with prediction intervals as developed in
 Cattaneo, Feng, and Titiunik (2021)
 <https://nppackages.github.io/references/Cattaneo-Feng-Titiunik_2021_JASA.pdf>
 for a single treated unit and in Cattaneo, Feng, Palomba, and Titiunik
 (2023) <doi:10.48550/arXiv.2210.05026> for multiple treated units and
 staggered adoption. More details about the software implementation can be
 found in Cattaneo, Feng, Palomba, and Titiunik (2024)
 <doi:10.48550/arXiv.2202.05984>.

Package: r-cran-scpipeline
Architecture: all
Version: 0.2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 17214
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seurat, r-bioc-batchelor, r-cran-dplyr, r-bioc-reactomegsa, r-bioc-celldex, r-bioc-singler, r-bioc-summarizedexperiment, r-bioc-biomart, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scpipeline_0.2.0.0-1.ca2004.1_all.deb
Size: 2413700
MD5sum: 6e7fb4eb108611bb7930cc0a22e889e9
SHA1: d68aeb3365d7a7ca7278a1e550a4cb0742ebff95
SHA256: 8b40a2235ede825d01278209844de0e83840ccfb5342277e3ff9f43c6f54c000
SHA512: c3add915e001e4c32a7b7794846137cc40378668b4ac5868d7faf5082029e67f7414f4f836e527ae1380d6ea457b0f0c8bd655456394aa0d9b5e3a84be2dc6e2
Homepage: https://cran.r-project.org/package=scPipeline
Description: CRAN Package 'scPipeline' (A Wrapper for 'Seurat' and Related R Packages for End-to-EndSingle Cell Analysis)
 Reports markers list, differentially expressed genes, associated pathways,
 cell-type annotations, does batch correction and other related single cell
 analyses all wrapped within 'Seurat'.

Package: r-cran-scploidy
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2809
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-bioc-genomicranges, r-cran-magrittr, r-cran-mass, r-cran-matrixstats, r-cran-mixtools, r-cran-nimble, r-cran-rlang, r-bioc-rsamtools, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-gplots, r-bioc-iranges, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scploidy_0.6.2-1.ca2004.1_all.deb
Size: 2249316
MD5sum: 38f52a0321bbdaf27c11f08b17d3f3bc
SHA1: 9272949070fe18851a2b13dacfae436246bdb89f
SHA256: ba9d1faafa2995dc35f56a6b982a9c74a553d19169877ff74814ae6886050cac
SHA512: a7434bb34199cdecb924b40bfaf5a73934eba62a5f05c27b722cdeac16b4e12c5855413540d1adc6dbc24f9f02724f60ff788c48f09c0ce8e62611d164e0b853
Homepage: https://cran.r-project.org/package=scPloidy
Description: CRAN Package 'scPloidy' (Infer Ploidy of Single Cells)
 Compute ploidy of single cells (or nuclei) based on single-cell (or
 single-nucleus) ATAC-seq (Assay for Transposase-Accessible Chromatin using
 sequencing) data <https://github.com/fumi-github/scPloidy>.

Package: r-cran-scplot
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scan, r-cran-mblm
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-scplot_0.6.0-1.ca2004.1_all.deb
Size: 213532
MD5sum: f57baf26c44a5f1d002d11cd00351278
SHA1: 54bf983cd30563b2365261143f460f51da4f8dd3
SHA256: 83dcdbd94a5a6be86542483359e3b7a2dff6fd5accb32ec9c9ee5982dd2b15a9
SHA512: 5cb3a62e14d169e01560b05642cb03c4a3d6357fb1cae0ffdb07945838ce99801ccdbaa449ae385dedbc9b5fbfb67fdc91b9844a617fe5b102661f31acdd4211
Homepage: https://cran.r-project.org/package=scplot
Description: CRAN Package 'scplot' (Plot Function for Single-Case Data Frames)
 Add-on for the 'scan' package that creates plots from single-case data
 frames ('scdf'). It includes functions for styling single-case plots, adding
 phase-based lines to indicate various statistical parameters, and predefined
 themes for presentations and publications. More information and in depth
 examples can be found in the online book "Analyzing Single-Case Data with R
 and 'scan" Jürgen Wilbert (2025) <https://jazznbass.github.io/scan-Book/>.

Package: r-cran-scpoisson
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-glmpca, r-cran-seurat, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-matrix, r-cran-rdpack, r-cran-seuratobject, r-cran-wgcna, r-cran-broom, r-cran-matrixstats
Suggests: r-cran-renv, r-cran-testthat, r-cran-vdiffr, r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-scpoisson_0.0.1-1.ca2004.1_all.deb
Size: 1024052
MD5sum: 46facd7d6e3c362e07869dc8b825a258
SHA1: c56b596e557aa2cd2108a2f6793a0449b7e9afa0
SHA256: 9c215aad7bdf5d8593f42a2d86f2a6dacb86ef589fe5c359564582987da20455
SHA512: 243cd676f4a8e8daecbb604b97fe83d64b3a2a7a4dd4ca3f47e810306d1d1616168db47f6129dc1e8ee24f5457bca0caa1a0dfa5f1cfe9b29e3f3f4043c9d614
Homepage: https://cran.r-project.org/package=scpoisson
Description: CRAN Package 'scpoisson' (Single Cell Poisson Probability Paradigm)
 Useful to visualize the Poissoneity (an independent Poisson statistical
 framework, where each RNA measurement for each cell comes from its own
 independent Poisson distribution) of Unique Molecular Identifier (UMI) based
 single cell RNA sequencing (scRNA-seq) data, and explore cell clustering
 based on model departure as a novel data representation.

Package: r-cran-scpubr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2181
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-bioc-annotationdbi, r-cran-assertthat, r-bioc-aucell, r-cran-circlize, r-cran-cli, r-cran-cluster, r-bioc-clusterprofiler, r-cran-colorspace, r-bioc-complexheatmap, r-cran-covr, r-bioc-decoupler, r-cran-dplyr, r-bioc-enrichplot, r-cran-forcats, r-cran-ggalluvial, r-cran-ggbeeswarm, r-cran-ggdist, r-cran-ggextra, r-cran-ggh4x, r-cran-ggnewscale, r-cran-ggplot2, r-cran-ggplotify, r-cran-ggrastr, r-cran-ggrepel, r-cran-ggridges, r-cran-ggsignif, r-bioc-infercnv, r-cran-knitr, r-cran-labeling, r-cran-magrittr, r-cran-mass, r-cran-matrix, r-bioc-nebulosa, r-bioc-org.hs.eg.db, r-cran-patchwork, r-cran-pheatmap, r-cran-plyr, r-cran-purrr, r-cran-qpdf, r-cran-rcolorbrewer, r-cran-rjags, r-cran-rlang, r-cran-rmarkdown, r-cran-scales, r-cran-scattermore, r-cran-seurat, r-cran-seuratobject, r-cran-sf, r-cran-stringr, r-cran-svglite, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-bioc-ucell, r-cran-viridis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-scpubr_2.0.2-1.ca2004.1_all.deb
Size: 2133880
MD5sum: 5bb13c29ed00fbb5a055080442f83285
SHA1: 0f939155c4e9443563cedad47cdac7eb5a87467f
SHA256: 175162d30eb1b172898363b16b57f583b4b432a1491cf6b72d244acb5ab0e62b
SHA512: 29a424a1f5a6ede94cb7854b9f0eb3a3d6d9cacc931b7950935d56ab13188765f3b3cddcad111cbf396705813cf6f3894190a1e89d170d721d4f36441056c9da
Homepage: https://cran.r-project.org/package=SCpubr
Description: CRAN Package 'SCpubr' (Generate Publication Ready Visualizations of Single CellTranscriptomics Data)
 A system that provides a streamlined way of generating publication ready
 plots for known Single-Cell transcriptomics data in a “publication ready”
 format. This is, the goal is to automatically generate plots with the
 highest quality possible, that can be used right away or with minimal
 modifications for a research article.

Package: r-cran-scqe
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-aer, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scqe_1.0.0-1.ca2004.1_all.deb
Size: 131216
MD5sum: 8e47d8dfb536d89c094bb17dd1e0687b
SHA1: e9d4c58769459f2a2f65bfc0a7dcc75a2fce20bc
SHA256: 39a47d965e537e057ee4bf987e3136c39ceaf764437c87d730fedc85cc601bf3
SHA512: c45974765c582302a7110f96845361e4a4f33492c8571ca10db83eabcd3ebac138a263aaea9aafd995dae8caa33a4fea6ef562893ab8d810ff85f77091f91503
Homepage: https://cran.r-project.org/package=scqe
Description: CRAN Package 'scqe' (Stability Controlled Quasi-Experimentation)
 Functions to implement the stability controlled quasi-experiment (SCQE)
 approach to study the effects of newly adopted treatments that were not
 assigned at random. This package contains tools to help users avoid making
 statistical assumptions that rely on infeasible assumptions. Methods
 developed in Hazlett (2019) <doi:10.1002/sim.8717>.

Package: r-cran-scr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2975
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply, r-cran-caret, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-plotly
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scr_0.4.0-1.ca2004.1_all.deb
Size: 2182692
MD5sum: b75e3817b3fcb15ceac9dd3f5a40f99d
SHA1: f205f04ae24359823fc4a9a7eeaaef8889d17346
SHA256: ac24d66c43216c99fe6c997d7651d1984ae71ba6b7c1706ac6f396e17480a836
SHA512: a241ed4f0548da5e5d9caa88199101fc29e4d30027205c266aaec5bce3575edd460af9c04c3b2322222e5a53867ef5a19e0c7c3158484f5bfe5a72d954df303c
Homepage: https://cran.r-project.org/package=scR
Description: CRAN Package 'scR' (Estimate Vapnik-Chervonenkis Dimension and Sample Complexity)
 We provide a suite of tools for estimating the sample complexity of a chosen
 model through theoretical bounds and simulation. The package incorporates
 methods for estimating the Vapnik-Chervonenkis dimension (VCD) of a chosen
 algorithm, which can be used to estimate its sample complexity.
 Alternatively, we provide simulation methods to estimate sample complexity
 directly. For more details, see Carter, P & Choi, D (2024). "Learning from
 Noise: Applying Sample Complexity for Political Science Research"
 <doi:10.31219/osf.io/evrcj>.

Package: r-cran-scraep
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-xml2, r-cran-rvest, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-scraep_1.2-1.ca2004.1_all.deb
Size: 75472
MD5sum: b9d0ef9f91dfa419318bc5aeccc21143
SHA1: e52ae7b01f6083cd94d7649894be40db7ecd9f57
SHA256: 4cafb88bcc599d05f35b3ebdf9e89d3ac3f4a90dd3980e2262ef88e53210cae7
SHA512: c7aeafdbbffcdbc89fb317de686551f2f7eb4306006f8b273eba8a05f0b86c271fc9b7494ebc91a982f8940ab2fea30334f6b67f5373d8cff5296ceed42b49ce
Homepage: https://cran.r-project.org/package=scraEP
Description: CRAN Package 'scraEP' (Scrape the Web with Extra Power)
 Tools for scraping information from webpages and other XML contents, using
 XPath or CSS selectors.

Package: r-cran-scraper
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-rvest, r-cran-magrittr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-scraper_0.1.8-1.ca2004.1_all.deb
Size: 17832
MD5sum: f3da0f8be3c4c143bc72757c6fbba506
SHA1: 21bfbc3aaf9bf23975229b802fce6da3d95f3c0b
SHA256: dc391f493b5a516d00c951e739e269183b9467e681c1858c04846e355cd339b7
SHA512: 45e49456d0675a80a3993e9f9954f5acbf704ba0c3db56964fa2d119500312c048c97b05a21d344a7ff471a293a1ea38f9bb75deef2da2bd38fa7d002ee078f2
Homepage: https://cran.r-project.org/package=scrapeR
Description: CRAN Package 'scrapeR' (These Functions Fetch and Extract Text Content from SpecifiedWeb Pages)
 The 'scrapeR' package utilizes functions that fetch and extract text content
 from specified web pages. It handles HTTP errors and parses HTML
 efficiently. The package can handle hundreds of websites at a time using the
 scrapeR_in_batches() command.

Package: r-cran-scrappy
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rvest, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-scrappy_0.0.1-1.ca2004.1_all.deb
Size: 13296
MD5sum: 27315d6bcd6a806bc34752fe7d15879b
SHA1: 177b974ff52165a26f90e790baf5338df84040a8
SHA256: c83a2b369b5c604eda820edc56a58a06f5e3592982a66a8579a0e6a38dfcfc40
SHA512: ea6f4b73cd41e7afb64e9b1f13040143227e0befce20bbba335c8e52340a4191cfeb632aa07f61acc755c187c03ee79451162476a912db2f08dc512a92cd7939
Homepage: https://cran.r-project.org/package=scrappy
Description: CRAN Package 'scrappy' (A Simple Web Scraper)
 A group of functions to scrape data from different websites, for academic
 purposes.

Package: r-cran-screenclean
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-screenclean_1.0.1-1.ca2004.1_all.deb
Size: 47244
MD5sum: 063a723d0c857192a19292254ef3e98e
SHA1: db6b096afe8f5f4088d38e3cc41a4cad429a00fd
SHA256: 6b4af2dccf174fe4f7892b073dc6b0bc32ff4361eb25c1ef7aa68ad5de31f68f
SHA512: 583dddd264809ca67e896f557e67fb10b555932c90fa1ee65f0205d15c25ae0adc065e832ed24f6889596cfb5508aa2b8d1b0603b6c09a1b5067fe9bb10cffe5
Homepage: https://cran.r-project.org/package=ScreenClean
Description: CRAN Package 'ScreenClean' (Screen and clean variable selection procedures)
 Routines for a collection of screen-and-clean type variable selection
 procedures, including UPS and GS.

Package: r-cran-screenot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-screenot_0.1.0-1.ca2004.1_all.deb
Size: 17568
MD5sum: 231877c3e6a3bb509cef57f895bcbcb5
SHA1: 503073dd979fdc82a96576279b633127e479fce7
SHA256: 90c56f9ca095862ec6d03c33f1972bd8c6a59e3ac3a36efe77feccbc50811f66
SHA512: b9d489510eecb70914dd6f829e381f4cb80cd0428cf29e032de48a878bae346a65cf861da6459c36a39571b44be7e69d3b6b2bdf6ec74bf4600477349bcbde48
Homepage: https://cran.r-project.org/package=ScreeNOT
Description: CRAN Package 'ScreeNOT' ('ScreeNOT': MSE-Optimal Singular Value Thresholding inCorrelated Noise)
 Optimal hard thresholding of singular values. The procedure adaptively
 estimates the best singular value threshold under unknown noise
 characteristics. The threshold chosen by 'ScreeNOT' is optimal
 (asymptotically, in the sense of minimum Frobenius error) under the the
 so-called "Spiked model" of a low-rank matrix observed in additive noise. In
 contrast to previous works, the noise is not assumed to be i.i.d. or white;
 it can have an essentially arbitrary and unknown correlation structure,
 across either rows, columns or both. 'ScreeNOT' is proposed to practitioners
 as a mathematically solid alternative to Cattell's ever-popular but vague
 Scree Plot heuristic from 1966.  If you use this package, please cite our
 paper: David L. Donoho, Matan Gavish and Elad Romanov (2023). "ScreeNOT:
 Exact MSE-optimal singular value thresholding in correlated noise." Annals
 of Statistics, 2023 (To appear). <arXiv:2009.12297>.

Package: r-cran-screenshot
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-imager, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-screenshot_0.9.1-1.ca2004.1_all.deb
Size: 92904
MD5sum: 6e2c6fe5163bc3121b7de7d248c027e6
SHA1: f36fbecc103935ced45302c45b18972c2ba39ac5
SHA256: 63a58deddad6be5f65fe30904e0b6f3a4fa19c7dbca953d426caf21e9fe4b92f
SHA512: c04683f3f39ae21842d6d321138f36242008b1c16470d0805aec872e50c13f21e96194bbe6c555421defc9ad8d958ea36fc897e891f6b68facc04425acdda500
Homepage: https://cran.r-project.org/package=screenshot
Description: CRAN Package 'screenshot' (Take Screenshots (Screen Capture) from R Command)
 Take screenshots from R command and locate an image position.

Package: r-cran-scribe
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-scribe_0.3.0-1.ca2004.1_all.deb
Size: 216904
MD5sum: 5f10653d7e301c0faaadcd8ced6fa5c7
SHA1: c2bf2c24614be7e5ebd2bc333fc06dfb46eb4c99
SHA256: 8b5853188bffd1531030788cc194deecdad4a8d8a689c458e469aade3270b410
SHA512: a39ddd118368df48170a8227816a5fa49a0d09e73c494861d7379d4ee2ac65f8ff7d96aa36466be0ae38a5a8e83d3303f5dbeaf760f2190fac50ae2c7b5cbcb1
Homepage: https://cran.r-project.org/package=scribe
Description: CRAN Package 'scribe' (Command Argument Parsing)
 A base dependency solution with basic argument parsing for use with
 'Rscript'.

Package: r-cran-scrime
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass, r-cran-rsqlite, r-bioc-oligoclasses, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-scrime_1.3.5-1.ca2004.1_all.deb
Size: 384500
MD5sum: 130b001c8b70c2b0a5661c7b3e7d3bfe
SHA1: fa147f60169f68c2c7d3de0ed1e775afefde1b17
SHA256: f4a239472d9b59eebab2285d73972f26c4d88b5476550e7e4e469418806fd24e
SHA512: f5c220d0cc3627fbbe367f4ad0ef1488946f166f09f52b5c06bc54a7ceec56d29ed324d0737940dee545131f7b3232c56a60873da390068eccb73ad4a47b8e18
Homepage: https://cran.r-project.org/package=scrime
Description: CRAN Package 'scrime' (Analysis of High-Dimensional Categorical Data Such as SNP Data)
 Tools for the analysis of high-dimensional data developed/implemented at the
 group "Statistical Complexity Reduction In Molecular Epidemiology" (SCRIME).
 Main focus is on SNP data. But most of the functions can also be applied to
 other types of categorical data.

Package: r-cran-scrip
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-splatter, r-bioc-s4vectors, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-bioc-edger, r-cran-mgcv, r-cran-knitr, r-cran-biocmanager, r-bioc-biocgenerics, r-cran-seurat, r-cran-crayon, r-cran-fitdistrplus, r-cran-checkmate
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scrip_1.0.0-1.ca2004.1_all.deb
Size: 174356
MD5sum: 61144b35af7a25725838ad9d849c7553
SHA1: aa191c50a3eeeb40401032b01f4a14dc9b2c6755
SHA256: e9beaabd3e7d6be2a1b58266006f81602195adf314ed041b3d16d1d486fed7f9
SHA512: b585c5d1f17ed142c2eef087e528782e9badee111f1f69fda7517d75e4b0a0cb0a1973115972b6363c180fdf5b2f47dbe6c27c77158b98c69a09b965706af11d
Homepage: https://cran.r-project.org/package=SCRIP
Description: CRAN Package 'SCRIP' (An Accurate Simulator for Single-Cell RNA Sequencing Data)
 We provide a comprehensive scheme that is capable of simulating Single Cell
 RNA Sequencing data for various parameters of Biological Coefficient of
 Variation, busting kinetics, differential expression (DE), cell or sample
 groups, cell trajectory, batch effect and other experimental designs.
 'SCRIP' proposed and compared two frameworks with Gamma-Poisson and
 Beta-Gamma-Poisson models for simulating Single Cell RNA Sequencing data.
 Other reference is available in Zappia et al. (2017)
 <https://genomebiology.biomedcentral.com/articles/10.1186/s13059-017-1305-0>.

Package: r-cran-script
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-script_0.1.3-1.ca2004.1_all.deb
Size: 12824
MD5sum: b7e84dc2e6f9279db8b82a888ff6af2d
SHA1: 1bfe6efa55d3f760a4c00458d540eec876c8d570
SHA256: 4220ba9303e31e0b7a7dac17567e41aa095f1e94d9332d0e8fd70da51756bf15
SHA512: 5560acfcab2666cd3ba588152b6bf546eb6d565009dc7eeaf2666a501ce0fbbf5a644832fedd65379bd851a16e1be06824d6c664b4e75175018f84b52468219f
Homepage: https://cran.r-project.org/package=script
Description: CRAN Package 'script' (Identify Script Name)
 Identifies the name of the current script in a variety of contexts, e.g.
 interactively or when sourced.  Attempts to support RStudio environment.
 Based on <https://stackoverflow.com/a/32016824/2292993> and
 <https://stackoverflow.com/a/35842176/2292993>.

Package: r-cran-scriptexec
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat, r-cran-lintr, r-cran-formatr, r-cran-devtools, r-cran-roxygen2, r-cran-rmarkdown, r-cran-rd2md
Filename: pool/dists/focal/main/r-cran-scriptexec_0.3.1-1.ca2004.1_all.deb
Size: 40564
MD5sum: 4d8f6f794d0ccb714205b2c2a7af8b86
SHA1: 72d0cde9d5e46b86fe848ac371599701e2e89358
SHA256: 86db133090acc51488889d0eea5d2915f77d6b2b1cddf1243811968d3ecc322c
SHA512: fc5513c20bc81f702f682e318576b0658172e3edc20c5a3c2027ed9cd22042ae9c290ef1a7316417f7a6daa2dfdb90012f75eebca0badaa0ea2aedabb986bbd8
Homepage: https://cran.r-project.org/package=scriptexec
Description: CRAN Package 'scriptexec' (Execute Native Scripts)
 Run complex native scripts with a single command, similar to system
 commands.

Package: r-cran-scriptloc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-scriptloc_1.0.0-1.ca2004.1_all.deb
Size: 65000
MD5sum: 3b59d43024414172a27ab32320cfd62a
SHA1: ffb691d05bea6289e4583331babfb1b7fb437b33
SHA256: e6f9fdc36f8cd85ce8048e254979c04084c280c8c4c24ce0d1d76ed2ac703d8e
SHA512: ed4aedfe8a6e14640538d02f40b7e29e21ca40cb0d6bb3e4a8ef8d704bad281b68e571845413e7e940c9408e56cb8fcd47e7066ecfc834630caaa128b210d8f8
Homepage: https://cran.r-project.org/package=scriptloc
Description: CRAN Package 'scriptloc' (Get the Location of the R Script that is Being Sourced/Executed)
 Provides functions to retrieve the location of R scripts loaded through the
 source() function or run from the command line using the Rscript command.
 This functionality is analogous to the Bash shell's ${BASH_SOURCE[0]}. Users
 can first set the project root's path relative to the script path and then
 all subsequent paths relative to the root. This system ensures that all
 paths lead to the same location regardless of where any script is
 executed/loaded from without resorting to the use of setwd() at the top of
 the scripts.

Package: r-cran-scriptmapr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-rcy3, r-cran-formatr, r-cran-dplyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-scriptmapr_0.0.3-1.ca2004.1_all.deb
Size: 152848
MD5sum: 066596eb03a9687bfe88d7be0a901ed9
SHA1: bebdc0a322e129b7b7698a0f62649baf1beba3f6
SHA256: 5d2f92c928fce72b7b1ea48e89a2e63b646c4ee489e9a6ebf78cb63788b22b78
SHA512: 481b5d8d87d6f793b1835b5a5cfd058d3cf8653da37448f15c89945d87b55fe31ce7228007707a8047823d12cc47e9d6953861ee65acb838cadd82f6a616b786
Homepage: https://cran.r-project.org/package=ScriptMapR
Description: CRAN Package 'ScriptMapR' (R Script Visualization in Cytoscape)
 Displays the content of a R script into the 'Cytoscape'
 network-visualization app <https://cytoscape.org/>.

Package: r-cran-scriptname
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-purrr
Suggests: r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-scriptname_1.0.1-1.ca2004.1_all.deb
Size: 12900
MD5sum: 3975e2ec8109992661f695393df7a25f
SHA1: ae6424209119476eeb933365d20364957306f611
SHA256: cfe036fac470e2288bf8836bdf79f71e8fd4cf5f2b8f537d2f6bcf8bce1e9774
SHA512: 63fd5cd25d69a77840c40eec29ae4a34f6fd6aad10cd33e0c12dc6738dfa9a7ccaf6996d3a0d598ace1d439fa36fbfe326598148c5da3c71a1940c70854782d0
Homepage: https://cran.r-project.org/package=scriptName
Description: CRAN Package 'scriptName' (Determine a Script's Filename from Within the Script Itself)
 A small set of functions wrapping up the call stack and command line
 inspection needed to determine a running script's filename from within the
 script itself.

Package: r-cran-scripturs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2340
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scripturs_0.1.0-1.ca2004.1_all.deb
Size: 2155668
MD5sum: 48d8841f20bb47a3440d68d94c078464
SHA1: 371078645394bb680a1ba3fbc18d2d1be9e504d1
SHA256: 36f2ac7c8cb40fe143d45279d3d70c5f988475aad9ac389439cd2e8d239a53af
SHA512: 3666a5b578b0a1143fb17e47b28ad509a3c00815419f3b7d24111d6bbd73a8d5d1ebd8ebddaea454a7b85df864b69420f6c5b976592675b9d81f34215bfd886a
Homepage: https://cran.r-project.org/package=scriptuRs
Description: CRAN Package 'scriptuRs' (Complete Text of the LDS Scriptures)
 Full text, in data frames containing one row per verse, of the Standard
 Works of The Church of Jesus Christ of Latter-day Saints (LDS).  These are
 the Old Testament, (KJV), the New Testament (KJV), the Book of Mormon, the
 Doctrine and Covenants, and the Pearl of Great Price.

Package: r-cran-scrnaimm
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-nortest, r-cran-mclust, r-cran-scdha
Filename: pool/dists/focal/main/r-cran-scrnaimm_0.1-1.ca2004.1_all.deb
Size: 30000
MD5sum: 61b426fef5beabf6e846755798d8f8d7
SHA1: 09f14356402a6158dbf60761b6c9e703ec11e4a3
SHA256: 36438beb95794d7d73dd425d03eb730af13c9e39bf91b1a51b01392f19431aa6
SHA512: d3188b22aa4e8144897927993e26bfad74d1b4a5bde243291c9b6a392af64d879ce6dfa57dbda20598c7275510889f12e4fa5d9c5da6ddfde83bba5f6bbebfdc
Homepage: https://cran.r-project.org/package=ScRNAIMM
Description: CRAN Package 'ScRNAIMM' (Performing Single-Cell RNA-Seq Imputation by Using Mean/MedianImputation)
 Performing single-cell imputation in a way that preserves the biological
 variations in the data. The package clusters the input data to do imputation
 for each cluster, and do a distribution check using the Anderson-Darling
 normality test to impute dropouts using mean or median (Yazici, B., &
 Yolacan, S. (2007) <DOI:10.1080/10629360600678310>).

Package: r-cran-scrnastat
Architecture: all
Version: 0.1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3835
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seurat, r-cran-ggplot2, r-cran-stringr, r-cran-clustree, r-cran-magrittr, r-cran-matrix, r-cran-dplyr, r-cran-patchwork
Suggests: r-cran-dbi
Filename: pool/dists/focal/main/r-cran-scrnastat_0.1.1.1-1.ca2004.1_all.deb
Size: 3746312
MD5sum: 1dd631e6c483b58e6ed2678c2d2ec773
SHA1: d5b238d1a2bf81b087a2f53d2e440db83a9ade79
SHA256: 3d954f3af9484749611a0727ad5610d5e99a39b6824fb25b2bea01e0c1f8e218
SHA512: 4757d00a9c7270d305e6739ae956e7a5cb75849a0da3a994e2b66fca8ac44413a8ea77e5639c9d3c9baec1c7b05eba27dc109ac1ecda7fc05549ee18c2a5c8ef
Homepage: https://cran.r-project.org/package=scRNAstat
Description: CRAN Package 'scRNAstat' (A Pipeline to Process Single Cell RNAseq Data)
 A pipeline that can process single or multiple Single Cell RNAseq samples
 primarily specializes in Clustering and Dimensionality Reduction.  Meanwhile
 we use common cell type marker genes for T cells, B cells, Myeloid cells,
 Epithelial cells, and stromal cells (Fiboblast, Endothelial cells, Pericyte,
 Smooth muscle cells) to visualize the Seurat clusters, to facilitate
 labeling them by biological names. Once users named each cluster, they can
 evaluate the quality of them again and find the de novo marker genes also.

Package: r-cran-scrnatools
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2504
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-bioc-all, r-bioc-consensusclusterplus, r-cran-scatterplot3d, r-cran-ggplot2, r-cran-rtsne, r-bioc-limma, r-bioc-edger, r-cran-tpea, r-cran-rmisc, r-cran-lattice, r-cran-plyr, r-cran-ggthemes, r-cran-reshape2, r-cran-performanceanalytics, r-cran-corrplot, r-cran-hmisc, r-cran-igraph, r-cran-survival
Filename: pool/dists/focal/main/r-cran-scrnatools_1.0-1.ca2004.1_all.deb
Size: 2525436
MD5sum: 2dadf2ac64a6269af35b8c78be4dbbf3
SHA1: 7c5597c83dcfb6153d94bb72410c73bbc49029ad
SHA256: ff1ad13510f88327540760844a467295c507f1b85cbd1614e073af3aae313203
SHA512: 25936cc054dfb088a6d7038e3a292122a3b2c36535f886dbd555c10008ca55737beaed58fc9dd823ee7780b76608be288d1af7bb8f152f064d834e1b3fcee6ea
Homepage: https://cran.r-project.org/package=scRNAtools
Description: CRAN Package 'scRNAtools' (Single Cell RNA Sequencing Data Analysis Tools)
 We integrated the common analysis methods utilized in single cell RNA
 sequencing data, which included cluster method, principal components
 analysis (PCA), the filter of differentially expressed genes, pathway
 enrichment analysis and correlated analysis methods.

Package: r-cran-scrobbler
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scrobbler_1.0.3-1.ca2004.1_all.deb
Size: 33732
MD5sum: 32563321dc13d0a4d1e8c8f33df91798
SHA1: 83c3ef07314a149a368d0b19162b557232dab9c0
SHA256: 9c622303e46de43fd5365077c720929335de945f5a74f3e89151067e7f4bddea
SHA512: 63e386cdd48e4408616bbe79973da0d0629f9345f99a691afabb6c949bd096d5a547e4844e23a68ceb00bada5e24eb0742101a280bafe576ffdf2cb21c54f5e5
Homepage: https://cran.r-project.org/package=scrobbler
Description: CRAN Package 'scrobbler' (Download 'Scrobbles' from 'Last.fm')
 'Last.fm'<https://www.last.fm> is a music platform focussed on building a
 detailed profile of a users listening habits. It does this by 'scrobbling'
 (recording) every track you listen to on other platforms ('spotify',
 'youtube', 'soundcloud' etc) and transferring them to your 'Last.fm'
 database. This allows 'Last.fm' to act as a complete record of your entire
 listening history. 'scrobbler' provides helper functions to download and
 analyse your listening history in R.

Package: r-cran-scrollrevealr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scrollrevealr_0.2.0-1.ca2004.1_all.deb
Size: 23392
MD5sum: 0fa5fe33e14fa432b6db62b8827fc6ec
SHA1: 65343deb67b804c3bac51f71fbe19671b6b6416c
SHA256: b1e810ef193079aface1f2a20ec0c92d16f5ae588abe717dea151fd26dc70fef
SHA512: f990e6dcb911c32a117f3c7618e8336ee09b74e208ba0d935d6e5e2c2c6fd023b036b6b719c8ff033a6396b040c54704e0fd808c8b76c8f63ee5e1428ea53d9e
Homepage: https://cran.r-project.org/package=scrollrevealR
Description: CRAN Package 'scrollrevealR' (Animate 'shiny' Elements when They Scroll into View using the'scrollrevealjs' Library)
 Allows the user to animate 'shiny' elements when scrolling to view them.
 The animations are activated using the 'scrollrevealjs' library. See
 <https://scrollrevealjs.org/> for more information.

Package: r-cran-scroshi
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 778
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-limma, r-bioc-s4vectors, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-scroshi_1.0.0.0-1.ca2004.1_all.deb
Size: 761072
MD5sum: af38ff7001a6d7a4206a0376bc18f0b9
SHA1: 09b959b3767c227902c2ee13cefc376652b28fdd
SHA256: f1ca7b0e55dc68dc6a8b80268e1c76229be03ac6b825be68226d40a6bf7ed547
SHA512: c6470ef7c152b7bbeed9f6f8f9919a9a0bfc084c1400d7400498f6dc0434638a8fdf348f47435f5c9e9c7144ec0c7e27dbf1516d3b5a02d12b137dfd9c3dd57d
Homepage: https://cran.r-project.org/package=scROSHI
Description: CRAN Package 'scROSHI' (Robust Supervised Hierarchical Identification of Single Cells)
 Identifying cell types based on expression profiles is a pillar of single
 cell analysis. 'scROSHI' identifies cell types based on expression profiles
 of single cell analysis by utilizing previously obtained cell type specific
 gene sets. It takes into account the hierarchical nature of cell type
 relationship and does not require training or annotated data. A detailed
 description of the method can be found at: Prummer, Bertolini, Bosshard,
 Barkmann, Yates, Boeva, The Tumor Profiler Consortium, Stekhoven, and Singer
 (2022) <doi:10.1101/2022.04.05.487176>.

Package: r-cran-scrselect
Architecture: all
Version: 1.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-scrselect_1.3-3-1.ca2004.1_all.deb
Size: 454852
MD5sum: b49b00f872ab96a6e113460dbfc65a51
SHA1: 8090bdc160bd938245149c5f81c3543fa67f25e2
SHA256: 611c9b5278a5be4e386bbba40c45a1df5e587d272d50df4e8bf9235e3127168a
SHA512: 0fdec1b6c890c465a6ebc58f08d53de9c5be6640b1de83f0e2444d1f7ce0bac41099ae759a7cd8806223512931a5e41db9cc05d60467aaf439898605934fa11f
Homepage: https://cran.r-project.org/package=SCRSELECT
Description: CRAN Package 'SCRSELECT' (Performs Bayesian Variable Selection on the Covariates in aSemi-Competing Risks Model)
 Contains four functions used in the DIC-tau_g procedure. SCRSELECT() and
 SCRSELECTRUN() uses Stochastic Search Variable Selection to select important
 covariates in the three hazard functions of a semi-competing risks model.
 These functions perform the Gibbs sampler for variable selection and a
 Metropolis-Hastings-Green sampler for the number of split points and
 parameters for the three baseline hazard function. The function SCRSELECT()
 returns the posterior sample of all quantities sampled in the Gibbs sampler
 after a burn-in period to a desired file location, while the function
 SCRSELECTRUN() returns posterior values of important quantities to the
 DIC-Tau_g procedure in a list.  The function DICTAUG() returns a list
 containing the DIC values for the unique models visited by the DIC-Tau_g
 grid search.  The function ReturnModel() uses SCRSELECTRUN() and DICTAUG()
 to return a summary of the posterior coefficient vectors for the optimal
 model along with saving this posterior sample to a desired path location.

Package: r-cran-scrt
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-scrt_1.3.1-1.ca2004.1_all.deb
Size: 191496
MD5sum: 392c73b710402b3a5d5ecf4242ae8e59
SHA1: 63a3b40fbc999d751570bf296a430d5284f461ce
SHA256: 5a71582205db5f1628c961889a09c5ebd1ad4eac82c0459083808c14ef2ac74c
SHA512: 509fed72098a4482b45aa275d254bd25b73dc5b3251863896d546773392cd717ba1acc857f013d5b152ba98c56546322f1d08385a29484d6f8c55b0bae8c816a
Homepage: https://cran.r-project.org/package=SCRT
Description: CRAN Package 'SCRT' (Single-Case Randomization Tests)
 Design single-case phase, alternation and multiple-baseline experiments, and
 conduct randomization tests on data gathered by means of such designs, as
 discussed in Bulte and Onghena (2013) <doi:10.22237/jmasm/1383280020>.

Package: r-cran-scrutiny
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2263
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-corrr, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scrutiny_0.5.0-1.ca2004.1_all.deb
Size: 1335228
MD5sum: c56cb462152628df6683cc614dfcb3f9
SHA1: 28a20b5fa0434e6f0f0ebe0ea6e631f60e52ac4a
SHA256: ef837a4ee819f160d70106d0d976fe582816062c399cb1b8e78e3dbc1e154c76
SHA512: 1bf2868ba9f3a9ffba24ea83660076c7d8949949d12e3e62d7a9e46d9de8f9067c7c61578bd205bccfd9fec473baae291b4e707df945646da1f168a61e688d9d
Homepage: https://cran.r-project.org/package=scrutiny
Description: CRAN Package 'scrutiny' (Error Detection in Science)
 Test published summary statistics for consistency (Brown and Heathers, 2017,
 <doi:10.1177/1948550616673876>; Allard, 2018,
 <https://aurelienallard.netlify.app/post/anaytic-grimmer-possibility-standard-deviations/>;
 Heathers and Brown, 2019, <https://osf.io/5vb3u/>).  The package also
 provides infrastructure for implementing new error detection techniques.

Package: r-cran-scryr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-covr, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scryr_1.0.0-1.ca2004.1_all.deb
Size: 188788
MD5sum: 729bf1fcda56b3fe5be3995368769f82
SHA1: 4d1fbfd69e6dcbb33dfcdcac21302b6acec4ff81
SHA256: dc02d306234d5837a165d0044c9986f9148eb1502769f740830f4f8c74a56300
SHA512: 95b8728a03e37265293ce0c23c511869a564cac4418dd60a6df8ea5f011febb8da717e4a62998baa0cc48b15532d98ad437122d2260c050301e4ce050da78872
Homepage: https://cran.r-project.org/package=scryr
Description: CRAN Package 'scryr' (An Interface to the 'Scryfall' API)
 A simple, light, and robust interface between R and the 'Scryfall' card data
 API <https://scryfall.com/docs/api>.

Package: r-cran-scsorter
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-scsorter_0.0.2-1.ca2004.1_all.deb
Size: 336056
MD5sum: 82271cf8683a61145146473fe06c1d7b
SHA1: 93bbe32d06bb21f4848fcc7822d39907064c7781
SHA256: 564fc4be30bd607353c4d68a221cc736d7fbe4ef61b28c4eeda8e8c081548cd6
SHA512: 22bdc1c85fd8edb5ea48e0692385839f6e678f1ed3906d5d8ec5bb7b1dccac006ca2120be7670010b99ed16191431bf34626b90a31df0673191344e159260f73
Homepage: https://cran.r-project.org/package=scSorter
Description: CRAN Package 'scSorter' (Implementation of 'scSorter' Algorithm)
 Implements the algorithm described in Guo, H., and Li, J., "scSorter:
 assigning cells to known cell types according to known marker genes".
 Cluster cells to known cell types based on marker genes specified for each
 cell type.

Package: r-cran-scspatialsim
Architecture: all
Version: 0.1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2048
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-spatstat.geom, r-cran-crayon, r-cran-ggpubr, r-cran-pbmcapply, r-cran-spatstat.random, r-cran-tidyr, r-cran-proxy
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spatialtime
Filename: pool/dists/focal/main/r-cran-scspatialsim_0.1.3.4-1.ca2004.1_all.deb
Size: 1501344
MD5sum: b7cbababd7780d8f8a6940e0ad8e47a8
SHA1: 0f60c0b0eb94ac641732e2c08823b0e906594590
SHA256: 4f301f4734181d929a55988b2c4798af8f1a6c6b89c7585aac411e562d50d588
SHA512: 7ce927c3302b4fae6cb512f1f4730993a4c999a9b39c59303989c33998ac84369082727811bc5c4a6b478af9319971522cd712f47e22275666de3b1db75e5749
Homepage: https://cran.r-project.org/package=scSpatialSIM
Description: CRAN Package 'scSpatialSIM' (A Point Pattern Simulator for Spatial Cellular Data)
 Single cell resolution data has been valuable in learning about tissue
 microenvironments and interactions between cells or spots. This package
 allows for the simulation of this level of data, be it single cell or
 ‘spots’, in both a univariate (single metric or cell type) and bivariate (2
 or more metrics or cell types) ways. As more technologies come to marker,
 more methods will be developed to derive spatial metrics from the data which
 will require a way to benchmark methods against each other. Additionally, as
 the field currently stands, there is not a gold standard method to be
 compared against. We set out to develop an R package that will allow users
 to simulate point patterns that can be biologically informed from different
 tissue domains, holes, and varying degrees of clustering/colocalization. The
 data can be exported as spatial files and a summary file (like 'HALO').
 <https://github.com/FridleyLab/scSpatialSIM/>.

Package: r-cran-scstability
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-aricode, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-magrittr, r-cran-pcapp, r-cran-rlang, r-cran-rtsne, r-cran-seurat, r-cran-uwot, r-cran-vegan
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-bioc-scrnaseq, r-bioc-summarizedexperiment, r-cran-biocmanager, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scstability_1.0.3-1.ca2004.1_all.deb
Size: 137540
MD5sum: d6b5235a2ac30dab9d009a8f59375623
SHA1: 41133240f3628a98db2a48e5bfd4b1151ef47953
SHA256: 6c18996f54c66fd5dcf46eff0f8e9ab9cc59eee13852c4549e701c4a01ad012c
SHA512: ebaa8248e71831249a2116066decde9d882e893d7ffd94555b574c7a8ae769cb42019ac0fa9792b3f44855ae88559226ab69703cc8bddaaee2a782377189c443
Homepage: https://cran.r-project.org/package=scStability
Description: CRAN Package 'scStability' (Measuring the Stability of Dimension Reduction and ClusterAssignment in scRNA-Seq Experiments)
 Provides functions for evaluating the stability of low-dimensional
 embeddings and cluster assignments in single‑cell RNA sequencing (scRNA‑seq)
 datasets. Starting from a principal component analysis (PCA) object, users
 can generate multiple replicates of t‑Distributed Stochastic Neighbor
 Embedding (t‑SNE) or Uniform Manifold Approximation and Projection (UMAP)
 embeddings. Embedding stability is quantified by computing pairwise
 Kendall’s Tau correlations across replicates and summarizing the
 distribution of correlation coefficients. In addition to dimensionality
 reduction, 'scStability' assesses clustering consistency using either
 Louvain or Leiden algorithms and calculating the Normalized Mutual
 Information (NMI) between all pairs of cluster assignments. For background
 on UMAP and t-SNE algorithms, see McInnes et al. (2020,
 <doi:10.21105/joss.00861>) and van der Maaten & Hinton (2008,
 <https://github.com/lvdmaaten/bhtsne>), respectively.

Package: r-cran-sctenifoldknk
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 664
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-rspectra, r-cran-matrix, r-cran-mass, r-cran-sctenifoldnet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sctenifoldknk_1.0.1-1.ca2004.1_all.deb
Size: 90656
MD5sum: fd65c0414af3d912767a0290654ad310
SHA1: 51b1335e4e561b079edb1936b306632b0afc533d
SHA256: 57923365e22850e4fa103799255ae9772abbc2249b4b51ba99e7015988e9ae26
SHA512: afdc05d781665020a01e55a4c43d0205de12ada00d884617548e417316466b8b7df2ba572e075804d3a1dc64fba7c9ae677adb91edd45a4d507259e4897f4b61
Homepage: https://cran.r-project.org/package=scTenifoldKnk
Description: CRAN Package 'scTenifoldKnk' (In-Silico Knockout Experiments from Single-Cell Gene RegulatoryNetworks)
 A workflow based on 'scTenifoldNet' to perform in-silico knockout
 experiments using single-cell RNA sequencing (scRNA-seq) data from wild-type
 (WT) control samples as input.  First, the package constructs a single-cell
 gene regulatory network (scGRN) and knocks out a target gene from the
 adjacency matrix of the WT scGRN by setting the gene’s outdegree edges to
 zero. Then, it compares the knocked out scGRN with the WT scGRN to identify
 differentially regulated genes, called virtual-knockout perturbed genes,
 which are used to assess the impact of the gene knockout and reveal the
 gene’s function in the analyzed cells.

Package: r-cran-sctenifoldnet
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-rspectra, r-cran-matrix, r-cran-mass, r-cran-rhpcblasctl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sctenifoldnet_1.3-1.ca2004.1_all.deb
Size: 82928
MD5sum: 994b8caff1ad5ec06ac4b0da93aa1493
SHA1: e6fb0ae4ca607a5ed36be339b9821947c44808c9
SHA256: 893c67ec6b45e4ccd46eef48fcaa6597d35f905c57d39b724cb4118ba9657ce2
SHA512: 4be2131c6e29cb470d28d870998a89f2bc3186f22a4c8cfae7174d2c6f30c93576058a906b44011f6fa665eb3f603a045baf163704d53a55715c91412c036cb3
Homepage: https://cran.r-project.org/package=scTenifoldNet
Description: CRAN Package 'scTenifoldNet' (Construct and Compare scGRN from Single-Cell Transcriptomic Data)
 A workflow based on machine learning methods to construct and compare
 single-cell gene regulatory networks (scGRN) using single-cell RNA-seq
 (scRNA-seq) data collected from different conditions. Uses principal
 component regression, tensor decomposition, and manifold alignment, to
 accurately identify even subtly shifted gene expression programs. See
 <doi:10.1016/j.patter.2020.100139> for more details.

Package: r-cran-sctep
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2759
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-igraph, r-cran-scdha, r-cran-foreach, r-bioc-biocgenerics, r-cran-matrix, r-bioc-summarizedexperiment, r-cran-doparallel, r-cran-ggsci, r-cran-psych, r-cran-tibble, r-cran-rlang, r-bioc-singlecellexperiment
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sctep_0.1.0-1.ca2004.1_all.deb
Size: 2695960
MD5sum: 7779dbdb445a92411adcbe3b7d941dd3
SHA1: 88e8706629557da48d54aae95a2eb21eed393672
SHA256: 13263d2d5076ee864148204bf8ee3e9e3017787d76019d574be66b1c583ca6b5
SHA512: 3a5a2fb572c66d2e1822ad226ec6392caca5f18a1ddcf5b235139a41b3a0744b789e688216f4ea45ed623c866ba53c1bfc0f6d51d4d35b69891692289d80fe9b
Homepage: https://cran.r-project.org/package=scTEP
Description: CRAN Package 'scTEP' (Single-Cell Trajectory Inference using Ensemble Pseudotimes)
 A single-cell trajectory inference method using 'Autoencoder' and Minimum
 Spanning Tree (MST) from high dimensional 'scRNA-Seq' data. The software run
 clustering methods six times using 'scDHA' with the number of clusters set
 from 6 to 10. Then, the 'scTEP' calculates pseudotime based on multiple
 clustering results. Lastly, the 'scTEP' generates trajectory using MST
 algorithm and fine-tunes it according to the pseudotime of clusters.

Package: r-cran-sctools
Architecture: all
Version: 0.3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future, r-cran-ggplot2, r-cran-synth, r-cran-stringr, r-cran-cvtools, r-cran-furrr, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sctools_0.3.3.1-1.ca2004.1_all.deb
Size: 1342128
MD5sum: 2f40062502013e278c19d4a1442b9f46
SHA1: 4bcd70587b7940f599fc6501bad9ec81c146d42c
SHA256: 56011d0d202fd576f73e548109d20413c5447406673fd8cb3c31a6259a8e8a67
SHA512: b7b79389a4f9b304d51ff8ac2fa127f03c3a9c73cdd0a21c5f54675a4ed540951662edb97965ce337d8e009f6a17bd5334754b20b307aaf25dfd131094414810
Homepage: https://cran.r-project.org/package=SCtools
Description: CRAN Package 'SCtools' (Extensions for Synthetic Controls Analysis)
 Extends the functionality of the package 'Synth' as detailed in Abadie,
 Diamond, and Hainmueller (2011) <doi:10.18637/jss.v042.i13>. Includes
 generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction
 Error) significance tests and plots, and calculating average treatment
 effects for multiple treated units.

Package: r-cran-scutils
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-scales, r-cran-assertthat, r-cran-dplyr, r-cran-viridis, r-cran-viridislite
Suggests: r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-scutils_0.1.0-1.ca2004.1_all.deb
Size: 88440
MD5sum: f6ceb69156b947b260982516cd4ad827
SHA1: 31a87fc6ecc4ab683f27fa5195622637efe4cb3e
SHA256: 6b4cff34768e3edaccf7e7d1fa9bdf185a40c0dae73dce98c201ef9a6b6329f9
SHA512: 2c14bc1b80de1ba6a33083a7f79ef19ca13a71e04191b4d4eddf667c349653775353c7b617662349860e167f914ad63d84f9494444b84deba53d325ed1079074
Homepage: https://cran.r-project.org/package=scUtils
Description: CRAN Package 'scUtils' (Utility Functions for Single-Cell RNA Sequencing Data)
 Analysis of single-cell RNA sequencing data can be simple and clear with the
 right utility functions. This package collects such functions, aiming to
 fulfill the following criteria: code clarity over performance (i.e. plain R
 code instead of C code), most important analysis steps over completeness
 (analysis 'by hand', not automated integration etc.), emphasis on
 quantitative visualization (intensity-coded color scale, etc.).

Package: r-cran-scutr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-smotefamily, r-cran-mclust
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-scutr_0.2.0-1.ca2004.1_all.deb
Size: 243276
MD5sum: 99670c476666da3c69b6bebdad5b3c20
SHA1: 33870c92ee9381cfb997b3c27631960558247f1f
SHA256: 2952e1f02232ad7b19f3d80c72f10093238cb6a832b0f075d021505cc13fe2f8
SHA512: d52c1807db2d4400bd35c830f2f8b47f1b99dbcfd021fb85ec7ae59cef94e15ec1ff7a477236a6528bf62ef331b64ae2f0a64ce1e5d90068116c17120edd3add
Homepage: https://cran.r-project.org/package=scutr
Description: CRAN Package 'scutr' (Balancing Multiclass Datasets for Classification Tasks)
 Imbalanced training datasets impede many popular classifiers. To balance
 training data, a combination of oversampling minority classes and
 undersampling majority classes is useful. This package implements the SCUT
 (SMOTE and Cluster-based Undersampling Technique) algorithm as described in
 Agrawal et. al. (2015) <doi:10.5220/0005595502260234>. Their paper uses
 model-based clustering and synthetic oversampling to balance multiclass
 training datasets, although other resampling methods are provided in this
 package.

Package: r-cran-scva
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggextra, r-cran-ggplot2, r-cran-plotly, r-cran-scales
Filename: pool/dists/focal/main/r-cran-scva_1.3.1-1.ca2004.1_all.deb
Size: 234468
MD5sum: ea00b5d05a611bc20126f1215363dac0
SHA1: 4cba1b77d9bc6d1e65ab44de3c5bc45117c24d51
SHA256: 40ba35161954f2eb902ca901f864f945a517c939277f7e9b8890aa45aea95ebc
SHA512: 4852c88d345600ec739e92a2fd76f18a5c0722b187a16d05526f490b6379d7a4808bdec6798dcf8aa4e7830508e1fecd471b4dbb0e826731f6b792cfaa002902
Homepage: https://cran.r-project.org/package=SCVA
Description: CRAN Package 'SCVA' (Single-Case Visual Analysis)
 Make graphical representations of single case data and transform graphical
 displays back to raw data, as discussed in Bulte and Onghena (2013)
 <doi:10.22237/jmasm/1383280020>. The package also includes tools for
 visually analyzing single-case data, by displaying central location,
 variability and trend.

Package: r-cran-sda
Architecture: all
Version: 1.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4002
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-entropy, r-cran-corpcor, r-cran-fdrtool
Suggests: r-cran-crossval
Filename: pool/dists/focal/main/r-cran-sda_1.3.9-1.ca2004.1_all.deb
Size: 4047852
MD5sum: b3d31744701153da2147ad84812f06c9
SHA1: 558cb513657033c22039cee7a36493c667915acf
SHA256: 7eaa940ec48b49e9b0294b133424425488a96f9859ced57c7c032a08ec0cb808
SHA512: d67dc6dd31e26303d0d551f509243ab9d79c861a172cfef907fb881db702ba001502e2a88e30987ba0159cb7a96887f54c1cfec9e70e36901ff102afd5798d6e
Homepage: https://cran.r-project.org/package=sda
Description: CRAN Package 'sda' (Shrinkage Discriminant Analysis and CAT Score Variable Selection)
 Provides an efficient framework for high-dimensional linear and diagonal
 discriminant analysis with variable selection.  The classifier is trained
 using James-Stein-type shrinkage estimators and predictor variables are
 ranked using correlation-adjusted t-scores (CAT scores).  Variable selection
 error is controlled using false non-discovery rates or higher criticism.

Package: r-cran-sdaa
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-survey, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sdaa_0.1-5-1.ca2004.1_all.deb
Size: 567140
MD5sum: 5cdaba54e2ef170ca858d8ae752416c5
SHA1: 102bbba39d9861a0f6dadfc538c2a84550b80a53
SHA256: b5324551d3aabb6424e1d0b45ac6c1cc32b7441f705aa4b7b298678ba8c8e1e8
SHA512: 18ab173c26c58149a13005017f83681fa49acc23b37824068197eb8dcf09179a1f62c45b2105e64c836a7a947da8d1aaec06afac375fe70fabea53f7ffa6f234
Homepage: https://cran.r-project.org/package=SDaA
Description: CRAN Package 'SDaA' (Sampling: Design and Analysis)
 Functions and Datasets from Lohr, S. (1999), Sampling: Design and Analysis,
 Duxbury.

Package: r-cran-sdafilter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-glasso, r-cran-huge, r-cran-poet
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sdafilter_1.0.0-1.ca2004.1_all.deb
Size: 20792
MD5sum: 04c219fe468f3fad201ecb3026a9e4b7
SHA1: 1519978ba43c9a44ef00010e937978bc1b92a460
SHA256: c54ee742f5bd9bd2a7074e0ad90f3ed7a967385748e36730d3114e0db13545b0
SHA512: 86f85dc14b98a9a1048930168caaac54b6f8a5d1f21d753ff10fff69ee673ef6e7669dd998e104d43deedadcdcfcbd59ef8a84b0e4ec75179448aa75e769e8c0
Homepage: https://cran.r-project.org/package=sdafilter
Description: CRAN Package 'sdafilter' (Symmetrized Data Aggregation)
 We develop a new class of distribution free multiple testing rules for false
 discovery rate (FDR) control under general dependence. A key element in our
 proposal is a symmetrized data aggregation (SDA) approach to incorporating
 the dependence structure via sample splitting, data screening and
 information pooling. The proposed SDA filter first constructs a sequence of
 ranking statistics that fulfill global symmetry properties, and then chooses
 a data driven threshold along the ranking to control the FDR. For more
 information, see the website below and the accompanying paper: Du et al.
 (2020), "False Discovery Rate Control Under General Dependence By
 Symmetrized Data Aggregation", <arXiv:2002.11992>.

Package: r-cran-sdalgcp
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1499
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sdalgcp_0.4.0-1.ca2004.1_all.deb
Size: 1321740
MD5sum: 5079cd96e51a82c4f7eee1176853fa54
SHA1: f2a2028a698e65a9b993f588d686577e937507f1
SHA256: d6cfb5a30aed521b3e3813fabf6b5dd99426edaf558b71bb83243c6692e32f2d
SHA512: 00c4653b95743cafb47d385e9664f63a5037b87cb8d5524759c2cea0747f6cef9122c2b391ea36f27d3872aab5f8c8dadcbb7a613a8800c1d928f004f61f0ec6
Homepage: https://cran.r-project.org/package=SDALGCP
Description: CRAN Package 'SDALGCP' (Spatially Discrete Approximation to Log-Gaussian Cox Processesfor Aggregated Disease Count Data)
 Provides a computationally efficient discrete approximation to log-Gaussian
 Cox process model for spatially aggregated disease count data. It uses Monte
 Carlo Maximum Likelihood for model parameter estimation as proposed by
 Christensen (2004) <doi: 10.1198/106186004X2525> and delivers prediction of
 spatially discrete and continuous relative risk. It performs inference for
 static spatial and spatio-temporal dataset. The details of the methods are
 provided in Johnson et al (2019) <doi:10.1002/sim.8339>.

Package: r-cran-sdam
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3135
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-grimport2, r-cran-multiplex
Suggests: r-cran-httr, r-cran-rjson, r-cran-knitr, r-cran-rmarkdown, r-cran-multigraph
Filename: pool/dists/focal/main/r-cran-sdam_1.1.4-1.ca2004.1_all.deb
Size: 2554596
MD5sum: 19b60bc063d9b40660493aefa4fdc304
SHA1: 0b569a87f88c1bc8e65665141b2e068461b59d15
SHA256: c8552f86e1c09031f479658c181c1e3c2446dd83ca5738e3d17a260016ff2705
SHA512: 695c521bbaf9871d5879786473f42ca59d60f22b1a4ecfedbb74a2083b6839bac2a2faf6484bebca7d533326075eac6d320ef4a4191d9079567a6d7fe68e46c3
Homepage: https://cran.r-project.org/package=sdam
Description: CRAN Package 'sdam' (Social Dynamics and Complexity in the Ancient Mediterranean)
 Provides digital tools for performing analyses within Social Dynamics and
 complexity in the Ancient Mediterranean (SDAM), which is a research group
 based at the Department of History and Classical Studies at Aarhus
 University.

Package: r-cran-sdamr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-car
Filename: pool/dists/focal/main/r-cran-sdamr_0.2.0-1.ca2004.1_all.deb
Size: 225776
MD5sum: 7a042c24b765aa92d737cbc022e26b73
SHA1: 87824948ba5f25c26948de4f9d1c1d7425745411
SHA256: 17e0bc6a85ba752394abb30b84b027bf432819b210b46ae560bbdef4eadbd908
SHA512: 8afcfb01099c07cfdd68c489cae187940269c13894a87c3d611b5b2c27832b6ff5d483854feaa9602bff8874b5f765a049885f684826e227d22817857a763416
Homepage: https://cran.r-project.org/package=sdamr
Description: CRAN Package 'sdamr' (Statistics: Data Analysis and Modelling)
 Data sets and functions to support the books "Statistics: Data analysis and
 modelling" by Speekenbrink, M. (2021)
 <https://mspeekenbrink.github.io/sdam-book/> and "An R companion to
 Statistics: data analysis and modelling" by Speekenbrink, M. (2021)
 <https://mspeekenbrink.github.io/sdam-r-companion/>. All datasets analysed
 in these books are provided in this package. In addition, the package
 provides functions to compute sample statistics (variance, standard
 deviation, mode), create raincloud and enhanced Q-Q plots, and expand Anova
 results into omnibus tests and tests of individual contrasts.

Package: r-cran-sdar
Architecture: all
Version: 0.9-55-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4654
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-linbin, r-cran-grimport2, r-cran-readxl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sdar_0.9-55-1.ca2004.1_all.deb
Size: 1440548
MD5sum: 92f0730ad602101d9bccfecce7c0fc9e
SHA1: e5d05783ef23bc1683e234d760829f24683508c3
SHA256: c163dc0193921ae7f35eaeccc280bc5b3f12ed30d893079aacaeecf86284433c
SHA512: 45175dc8ed282c9b44c716ca0eeb4cfeedb4a14dc2faa0d66a344af665eaaf2ab79786cca24d1367db4e69b692869aacb0de52c099bf201e3b9bd8303ac6adb2
Homepage: https://cran.r-project.org/package=SDAR
Description: CRAN Package 'SDAR' (Stratigraphic Data Analysis)
 A fast, consistent tool for plotting and facilitating the analysis of
 stratigraphic and sedimentological data. Taking advantage of the flexible
 plotting tools available in R, 'SDAR' uses stratigraphic and
 sedimentological data to produce detailed graphic logs for outcrop sections
 and borehole logs. These logs can include multiple features (e.g., bed
 thickness, lithology, samples, sedimentary structures, colors, fossil
 content, bioturbation index, gamma ray logs) (Johnson, 1992, <ISSN
 0037-0738>).

Package: r-cran-sdaresources
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3164
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sdaresources_0.1.1-1.ca2004.1_all.deb
Size: 3084068
MD5sum: 93b6c83c374091e29c6cead3c62fcfa8
SHA1: fab5f21dd445cae383e43d988cfdbb361d800edf
SHA256: 9d347fb85e9494675905a3de0a97fdc063bf7beb40008b0bc18bc053fb90b62b
SHA512: ff8fe6a599c0dc72c40ca752c2b7d6c97edb32fccfae9bfa16474aac0bc1f477c043124a82af77b7d4fe3fbfb9763bcaa303468c67258dcf6e1f8b28fc3382f8
Homepage: https://cran.r-project.org/package=SDAResources
Description: CRAN Package 'SDAResources' (Datasets and Functions for 'Sampling: Design and Analysis, 3rdEdition')
 Includes all the datasets of 'Sampling: Design and Analysis' (3rd edition by
 Sharon Lohr) in R format and additional functions for analyzing and graphing
 probability samples.

Package: r-cran-sdclog
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-checkmate, r-cran-cli, r-cran-data.table, r-cran-mathjaxr
Suggests: r-cran-cffr, r-cran-knitr, r-cran-lfe, r-cran-rmarkdown, r-cran-skimr, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-sdclog_0.5.1-1.ca2004.1_all.deb
Size: 97848
MD5sum: 8edad4d5ee6dee90cc27ba0d2a6799b2
SHA1: 08728fe67e3bf64d138878d8b68e43a8b43e74e1
SHA256: cb876f3af92d44562948acdaefd36c9869c52071a0d8d3f80a315d3672739a7c
SHA512: 43afab5aa331bb9d510eef36252b9487de24358f659cc12f331f52c8762a6956bba3bb9d566b528693eb04886922d688e76ffb5c721cfa22857e53dc79b76a23
Homepage: https://cran.r-project.org/package=sdcLog
Description: CRAN Package 'sdcLog' (Tools for Statistical Disclosure Control in Research DataCenters)
 Tools for researchers to explicitly show that their results comply to rules
 for statistical disclosure control imposed by research data centers. These
 tools help in checking descriptive statistics and models and in calculating
 extreme values that are not individual data.  Also included is a simple
 function to create log files. The methods used here are described in the
 "Guidelines for the checking of output based on microdata research" by Bond,
 Brandt, and de Wolf (2015)
 <https://cros.ec.europa.eu/system/files/2024-02/Output-checking-guidelines.pdf>.

Package: r-cran-sdcnway
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-plyr, r-cran-dplyr, r-cran-ggplot2, r-cran-mass
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-sdcnway_1.0.1-1.ca2004.1_all.deb
Size: 806716
MD5sum: 321560725ea91abd9c3d0726b0fbf305
SHA1: 51dc8f53c50e085f6481716de67842be2bdcd68f
SHA256: 9fd9d8426fcc97439b217076d698b96e3dbf61412e1eef1d62d19111fdc7b128
SHA512: ce18372d50e5b858c0c3fcdf6ab4b5a432ef26e3f2ef68926adf374484a61af9418f6a3bd693d289e5fb32d6afbf027c483836da603a2d66c2fcf684561b378c
Homepage: https://cran.r-project.org/package=SDCNway
Description: CRAN Package 'SDCNway' (Tools to Evaluate Disclosure Risk)
 Tools for calculating disclosure risk measures for microdata, including
 record-level and file-level measures. The record-level disclosure risk is
 estimated primarily using exhaustive tabulation. The file-level disclosure
 risk is estimated by fitting loglinear models on the observed sample counts
 in cells formed by key variables and their interactions.  Funded by the
 National Center for Education Statistics. See Skinner and Shlomo (2008)
 <doi:10.1198/016214507000001328> for a description of the file-level risk
 measures and the loglinear model approach.

Package: r-cran-sdcspatial
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1588
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-sp, r-cran-sf, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-sdcspatial_0.5.2-1.ca2004.1_all.deb
Size: 1444128
MD5sum: 4c19e94fa8e9bb7eaf69db3bfb3df448
SHA1: fd95f4f164abb3bd73c43ac287dc79d41d43216d
SHA256: 161b2e15fdaa63478c1592908489da47b7bfbf319dddfbfa7b0659c4e32627ff
SHA512: bb37fe5c7098e8dc1a475fce847c164676259f8f98d1cc84c1a32907b780f47fdffa16ca7b87e9b01375eb93355fc7f9aebbe6c5c65ec4c04e60852bb5f6b163
Homepage: https://cran.r-project.org/package=sdcSpatial
Description: CRAN Package 'sdcSpatial' (Statistical Disclosure Control for Spatial Data)
 Privacy protected raster maps can be created from spatial point data.
 Protection methods include smoothing of dichotomous variables by de Jonge
 and de Wolf (2016) <doi:10.1007/978-3-319-45381-1_9>, continuous variables
 by de Wolf and de Jonge (2018) <doi:10.1007/978-3-319-99771-1_23>,
 suppressing revealing values and a generalization of the quad tree method by
 Suñé, Rovira, Ibáñez and Farré (2017) <doi:10.2901/EUROSTAT.C2017.001>.

Package: r-cran-sdctarget
Architecture: all
Version: 0.9-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magic, r-cran-foreach, r-cran-doparallel, r-cran-tuple
Filename: pool/dists/focal/main/r-cran-sdctarget_0.9-11-1.ca2004.1_all.deb
Size: 185740
MD5sum: b35671fb5d6b40256974d08970a6b2c6
SHA1: 7ece487fe6db917f84db38ae305ec5285f5da6df
SHA256: 47b916c9002f9623503f1d8e22967f6cc90c71767eb83a1bcb4c9cb00de63027
SHA512: e6829a5c5cfdc90b40405ba905b1ce9247cb6264c7620b055d76ee5382bce7565bde9cd7203dbe9141b30576acad1dda35b3e604b8ed0a4d416140042a12da94
Homepage: https://cran.r-project.org/package=sdcTarget
Description: CRAN Package 'sdcTarget' (Statistical Disclosure Control Substitution Matrix Calculator)
 Classes and methods to calculate and evaluate target matrices for
 statistical disclosure control.

Package: r-cran-sdd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-sm, r-cran-tseries, r-cran-rpanel, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-sdd_1.2-1.ca2004.1_all.deb
Size: 65644
MD5sum: 7590a93ca7fc3a112a0b2afac6ca7174
SHA1: bdb8e5a4e0fed520d47458fd6354bc0793e5d3c1
SHA256: 893c51c667ea9f9dc76bd317f4679db81908757e14535a9a57ada76a17d245a7
SHA512: a449146c2361d436db74130b5d8c4dc506062db8a0b5e903601074f52870614ea2dc8e85e9e6326efbd580d60a60da12380fe55dc74a351b37ebbdb05c8f97db
Homepage: https://cran.r-project.org/package=SDD
Description: CRAN Package 'SDD' (Serial Dependence Diagrams)
 Allows for computing (and by default plotting) different types of serial
 dependence diagrams.

Package: r-cran-sdef
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sdef_1.7-1.ca2004.1_all.deb
Size: 308300
MD5sum: e78969bbd3ff47bf33a98c472c5b3240
SHA1: 5a2aeb1bdf181288f9084720e62d750b5c44bffb
SHA256: 7581ee642b80494c105e0f9c3e71ca906ded28e768ecc2ce0894a1b9c8869a5c
SHA512: 2e71669eb1f6e69fd607c446f623e394a11c11b84aead2d287f094ea2941771d9e3a00415618952795229cc41fd1114f71b1cfab2e039648a9b190b9fcaef315
Homepage: https://cran.r-project.org/package=sdef
Description: CRAN Package 'sdef' (Synthesizing List of Differentially Expressed Features)
 Performs two tests to evaluate if the experiments are associated and returns
 a list of interesting features common to all the experiments.

Package: r-cran-sdefsr
Architecture: all
Version: 0.7.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1049
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreign, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sdefsr_0.7.22-1.ca2004.1_all.deb
Size: 772124
MD5sum: d27d95831e50f5ac7c8b8f9e1dd0e276
SHA1: aa8c9e45743f869226512df86180e2deb38979cf
SHA256: 942d3f8f8a26d86b1552558b04707243a75b916ee7221f4193e96db0fff1b523
SHA512: aa2dbf153027a678472e0d3df758dad488498cc4004baeddd0426931dc4afc5b72e06265cf0befbfd121cb0f1f7a9cabad496e6ba45e719eca8ed6e1d7b4807b
Homepage: https://cran.r-project.org/package=SDEFSR
Description: CRAN Package 'SDEFSR' (Subgroup Discovery with Evolutionary Fuzzy Systems)
 Implementation of evolutionary fuzzy systems for the data mining task called
 "subgroup discovery". In particular, the algorithms presented in this
 package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007)
 <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera
 (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del
 Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V.
 Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D.
 Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App
 to ease the analysis. The algorithms work with data sets provided in KEEL,
 ARFF and CSV format and also with data.frame objects.

Package: r-cran-sdgdetector
Architecture: all
Version: 2.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-ggplot2, r-cran-tidyr, r-cran-rnaturalearth, r-cran-scales, r-cran-magick
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sdgdetector_2.7.3-1.ca2004.1_all.deb
Size: 1809492
MD5sum: 70ea78cfd18a61b92fd1bb876730dbbe
SHA1: 05b298f0237fb4e49246b0c4efb7924ffb4e05c7
SHA256: dbbc5ea4f0eb569935355efff4e5aeb380f32d27ba328ca84b9eb62dfdf2c120
SHA512: 952017276ed5a5279ee37131cca46f1857b2d6937d313c03ca986f6a5005767b19e2503b5ee0208a53d14200670ffa61679d3d5a65aeff5f5852c539f9240995
Homepage: https://cran.r-project.org/package=SDGdetector
Description: CRAN Package 'SDGdetector' (Detect SDGs and Targets in Text)
 Identify 17 Sustainable Development Goals and associated 169 targets in
 text.

Package: r-cran-sdlfilter
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1246
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-geosphere, r-cran-data.table, r-cran-gridextra, r-cran-ggmap, r-cran-maps, r-cran-pracma, r-cran-lubridate, r-cran-dplyr, r-cran-emmeans, r-cran-sf, r-cran-stars, r-cran-ggspatial
Filename: pool/dists/focal/main/r-cran-sdlfilter_2.3.3-1.ca2004.1_all.deb
Size: 1123944
MD5sum: 7636d00ec2d24bf19516c205fd3808ae
SHA1: 52e36b3124d7a34b14fdf509bd5f8dceec11e843
SHA256: e09d0c388a7d1d0ef7ff5dc3311680785d6919230b1a20d565bc1663bbec281a
SHA512: 6ae109a35f828a1adfa5758d752298b8e6f7df04ca3ab023d94c83512518ab504c151e7cb7a426af9e0da75b4694cbc12a52f80831c9db7e23c8de727be25a1b
Homepage: https://cran.r-project.org/package=SDLfilter
Description: CRAN Package 'SDLfilter' (Filtering and Assessing the Sample Size of Tracking Data)
 Functions to filter GPS/Argos locations, as well as assessing the sample
 size for the analysis of animal distributions. The filters remove temporal
 and spatial duplicates, fixes located at a given height from estimated high
 tide line, and locations with high error as described in Shimada et al.
 (2012) <doi:10.3354/meps09747> and Shimada et al. (2016)
 <doi:10.1007/s00227-015-2771-0>. Sample size for the analysis of animal
 distributions can be assessed by the conventional area-based approach or the
 alternative probability-based approach as described in Shimada et al. (2021)
 <doi:10.1111/2041-210X.13506>.

Package: r-cran-sdlrm
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-sdlrm_0.1.2-1.ca2004.1_all.deb
Size: 167224
MD5sum: 7322dc229f4ea95aafc1a256b43332b4
SHA1: aeda1d79f52ad448ab85d283011417b752695bf9
SHA256: bd6d08fe216b101a1adc69653d8533d9655a025ef2f61c3da10a773d66a2ab59
SHA512: 0a223fa29b8524c9cd586043ddd4dc55ac4a5665db396ee6af92a81be368f8b52a6dc5577f8cdba85a7c8122ef98270f6dddd6230a4ae83377f4b606b0da5206
Homepage: https://cran.r-project.org/package=sdlrm
Description: CRAN Package 'sdlrm' (Modified Skew Discrete Laplace Regression for Integer-Valued andPaired Discrete Data)
 Implementation of the modified skew discrete Laplace (SDL) regression model.
 The package provides a set of functions for a complete analysis of
 integer-valued data, where the dependent variable is assumed to follow a
 modified SDL distribution. This regression model is useful for the analysis
 of integer-valued data and experimental studies in which paired discrete
 observations are collected.

Package: r-cran-sdm
Architecture: all
Version: 1.2-55-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4293
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra, r-cran-sp, r-cran-raster
Suggests: r-cran-r.rsp, r-cran-shinybs, r-cran-shiny, r-cran-dismo
Filename: pool/dists/focal/main/r-cran-sdm_1.2-55-1.ca2004.1_all.deb
Size: 3072816
MD5sum: f6406bb5b7735bea3dbef2405597cf2f
SHA1: 47f08f1960ced0805f50f750a9cb9477ef9e15bd
SHA256: 399c34aa12d3309eac15161c9a5f742fd106c8f53a2a626f0c88dd4bdd25289c
SHA512: 0c3a8f17a45b36799799dc66a750682d4178594a77a9fa6f28bd2b9aa95d09c8b1d6e742b36477f9a57b725ef2ebef1c05b84fcca736163547db7b1a38e4ac5d
Homepage: https://cran.r-project.org/package=sdm
Description: CRAN Package 'sdm' (Species Distribution Modelling)
 An extensible framework for developing species distribution models using
 individual and community-based approaches, generate ensembles of models,
 evaluate the models, and predict species potential distributions in space
 and time. For more information, please check the following paper: Naimi, B.,
 Araujo, M.B. (2016) <doi:10.1111/ecog.01881>.

Package: r-cran-sdmapp
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4420
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-shiny
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rgdal, r-cran-automap, r-cran-future.apply, r-cran-dismo, r-cran-dt, r-cran-kernlab, r-cran-randomforest, r-cran-readxl, r-cran-rhandsontable, r-cran-sf, r-cran-shinybs, r-cran-shinyfiles, r-cran-ssdm, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-cowplot, r-cran-haven, r-cran-dplyr, r-cran-tidyr, r-cran-data.table, r-cran-rgeos, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-sdmapp_0.0.2-1.ca2004.1_all.deb
Size: 2942632
MD5sum: 41402ef9234aafa59f6ba32723a5ae73
SHA1: 88ab4b1a19099e412b1ae3cbbfce1ef3be9f87b7
SHA256: cf8c605269f0ae898b66a4f1dbd20317234d4438a83a2edafe4ac7bca3ec0b29
SHA512: 27276a0deb58a0a484f0b36cb42e705c4f2adb63097308f26da8d14dccc74dcb21588536462f0cb684c2f588cb6e4a845223448a88477e67193f29a2268cc953
Homepage: https://cran.r-project.org/package=sdmApp
Description: CRAN Package 'sdmApp' (A User-Friendly Application for Species Distribution Modeling)
 A 'shiny' application that allows non-expert 'R' users to easily model
 species distribution. It offers a reproducible work flow for species
 distribution modeling into a single and user friendly environment.  'sdmApp'
 takes 'raster' data (in format supported by the 'raster package') and
 species occurrence data (several format supported) as input argument.  It
 provides an interactive graphical user interface (GUI).

Package: r-cran-sdmodels
Architecture: all
Version: 1.0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.tree, r-cran-diagrammer, r-cran-doparallel, r-cran-future.apply, r-cran-future, r-cran-ggplot2, r-cran-gpumatrix, r-cran-gridextra, r-cran-locatexec, r-cran-pbapply, r-cran-rdpack, r-cran-tidyr, r-cran-fda, r-cran-grplasso, r-cran-rlang
Suggests: r-cran-plotly, r-cran-rpart, r-cran-knitr, r-cran-rmarkdown, r-cran-ranger, r-cran-hdclassif, r-cran-qpdf, r-cran-igraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sdmodels_1.0.13-1.ca2004.1_all.deb
Size: 478840
MD5sum: 53a1196017af9b8df3ed6ca7d3e54bef
SHA1: 8b5df037e3ae268aea63b61b167b3c4337ee2f8c
SHA256: 6114a923543ebdb8ec8bdddecde661565348119b67f540ff954d8ebc872c18eb
SHA512: c74f939c074c102b9c1c9c3d109717b40867d4acdfc0d472c590c817d92f2390d19d627249517d2391d0fe34b843bae55afdf48724d5d0bab67c5d8a5f449a7c
Homepage: https://cran.r-project.org/package=SDModels
Description: CRAN Package 'SDModels' (Spectrally Deconfounded Models)
 Screen for and analyze non-linear sparse direct effects in the presence of
 unobserved confounding using the spectral deconfounding techniques (Ćevid,
 Bühlmann, and Meinshausen (2020)<jmlr.org/papers/v21/19-545.html>, Guo,
 Ćevid, and Bühlmann (2022) <doi:10.1214/21-AOS2152>). These methods have
 been shown to be a good estimate for the true direct effect if we observe
 many covariates, e.g., high-dimensional settings, and we have fairly dense
 confounding. Even if the assumptions are violated, it seems like there is
 not much to lose, and the deconfounded models will, in general, estimate a
 function closer to the true one than classical least squares optimization.
 'SDModels' provides functions SDAM() for Spectrally Deconfounded Additive
 Models (Scheidegger, Guo, and Bühlmann (2025) <doi:10.1145/3711116>) and
 SDForest() for Spectrally Deconfounded Random Forests (Ulmer, Scheidegger,
 and Bühlmann (2025) <doi:10.48550/arXiv.2502.03969>).

Package: r-cran-sdmplay
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-dismo
Suggests: r-cran-maptools, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-ncdf4, r-cran-rgdal, r-cran-sp, r-cran-rjava, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-sdmplay_2.0-1.ca2004.1_all.deb
Size: 2188356
MD5sum: 9db15f0f6feed95c3a3b5153bda9d8aa
SHA1: a76e2b744effa37dadbed555fd8da1496ec6eef2
SHA256: 9f4aa3188b4a6ba31701671a469b961006f7482d826c5624748fcbe5b1386f10
SHA512: e420b1aef677c3d24ec2d266fd6f6d8f5bbca445d7d2aac11d988793eec4542f99d82d3ca3bf63405ee9b3cf708b93d0bdfa7522d64e4c2e9b6732810cf966ea
Homepage: https://cran.r-project.org/package=SDMPlay
Description: CRAN Package 'SDMPlay' (Species Distribution Modelling Playground)
 Species distribution modelling (SDM) has been developed for several years to
 address conservation issues, assess the direct impact of human activities on
 ecosystems and predict the potential distribution shifts of invasive species
 (see Elith et al. 2006, Pearson 2007, Elith and Leathwick 2009). SDM relates
 species occurrences with environmental information and can predict species
 distribution on their entire occupied space. This approach has been
 increasingly applied to Southern Ocean case studies, but requires
 corrections in such a context, due to the broad scale area, the limited
 number of presence records available and the spatial and temporal
 aggregations of these datasets. SDMPlay is a pedagogic package that will
 allow you to compute SDMs, to understand the overall method, and to produce
 model outputs. The package, along with its associated vignettes, highlights
 the different steps of model calibration and describes how to choose the
 best methods to generate accurate and relevant outputs. SDMPlay proposes
 codes to apply a popular machine learning approach, BRT (Boosted Regression
 Trees) and introduces MaxEnt (Maximum Entropy). It contains occurrences of
 marine species and environmental descriptors datasets as examples associated
 to several vignette tutorials available at
 <https://github.com/charleneguillaumot/THESIS/tree/master/SDMPLAY_R_PACKAGE>.

Package: r-cran-sdmpredictors
Architecture: all
Version: 0.2.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1467
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r.utils, r-cran-raster, r-cran-terra
Suggests: r-cran-ggplot2, r-cran-reshape2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-httr, r-cran-httr2
Filename: pool/dists/focal/main/r-cran-sdmpredictors_0.2.15-1.ca2004.1_all.deb
Size: 1420340
MD5sum: 42317e52837d1672150929ccd6b15400
SHA1: aa599fb30fd7854e1a8d1db357b6f8021bfeeb28
SHA256: f470cb79f5c103d9264430ea0acb48e9d41b0ede192e6521fcb9c2e65930a1c3
SHA512: 5f5a8fb7ce00773bbf506062ce9b3278f4dc00a3073b7cfd35d416a5b4166c69b7d089a3bff6f791e33374c3c3a148cacb123833725c7c95a33efd5a5c91caa5
Homepage: https://cran.r-project.org/package=sdmpredictors
Description: CRAN Package 'sdmpredictors' (Species Distribution Modelling Predictor Datasets)
 Terrestrial and marine predictors for species distribution modelling from
 multiple sources, including WorldClim <https://www.worldclim.org/>,, ENVIREM
 <https://envirem.github.io/>, Bio-ORACLE <https://bio-oracle.org/> and
 MARSPEC <http://www.marspec.org/>.

Package: r-cran-sdmvspecies
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1702
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-psych
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-sdmvspecies_0.3.2-1.ca2004.1_all.deb
Size: 553000
MD5sum: e27321183eeb03b575ffddd2b36f3c30
SHA1: 23e62576df393f510b342163b71b082307e8959a
SHA256: 944217c0ca634c06599ffe996250e9f328913d588080abae78468e27ae85a9be
SHA512: c7ed02c0e59fcccdcdf72605d56bd490192a170919b879eab0225ecbba7c2bab311f3d3e3167ee9d20fa826655d92ce7698c3ed3a9d151476422c709852a1ff5
Homepage: https://cran.r-project.org/package=sdmvspecies
Description: CRAN Package 'sdmvspecies' (Create Virtual Species for Species Distribution Modelling)
 A software package help user to create virtual species for species
 distribution modelling. It includes several methods to help user to create
 virtual species distribution map.  Those maps can be used for Species
 Distribution Modelling (SDM) study. SDM use environmental data for sites of
 occurrence of a species to predict all the sites where the environmental
 conditions are suitable for the species to persist, and may be expected to
 occur.

Package: r-cran-sdpdmod
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-plm, r-cran-rspectra, r-cran-sf, r-cran-sp, r-cran-spdep
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-splm
Filename: pool/dists/focal/main/r-cran-sdpdmod_0.0.6-1.ca2004.1_all.deb
Size: 1597940
MD5sum: 73dcc326175b6367894a1cd3471646f4
SHA1: 19917ef6d477b48637d5992853060b17c8e84a66
SHA256: 9477cceecbfbe74ff1fb14392819a18b2d8c125c877866e91f79859c0a82eb25
SHA512: 4e5b40f4bbad3aba10a49825e92dfd7afd863d12c5331ce8e90d61b7ae387000cc2a0a5b642dafe708c450de9c08b77eef4a77059a0dd163e03ec5f94efffbfd
Homepage: https://cran.r-project.org/package=SDPDmod
Description: CRAN Package 'SDPDmod' (Spatial Dynamic Panel Data Modeling)
 Spatial model calculation for static and dynamic panel data models, weights
 matrix creation and Bayesian model comparison.  Bayesian model comparison
 methods were described by 'LeSage' (2014)
 <doi:10.1016/j.spasta.2014.02.002>.  The 'Lee'-'Yu' transformation approach
 is described in 'Yu', 'De Jong' and 'Lee' (2008)
 <doi:10.1016/j.jeconom.2008.08.002>, 'Lee' and 'Yu' (2010)
 <doi:10.1016/j.jeconom.2009.08.001> and 'Lee' and 'Yu' (2010)
 <doi:10.1017/S0266466609100099>.

Package: r-cran-sdprior
Architecture: all
Version: 1.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gb2, r-cran-mass, r-cran-pscl, r-cran-mvtnorm, r-cran-mgcv, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-sdprior_1.0-0-1.ca2004.1_all.deb
Size: 175512
MD5sum: d812351c8aacbbbeaa8c538a48f1bccc
SHA1: 22cf68f2c9608bfa0571043443a0c85a7b2dd5fb
SHA256: a214984d42e2d0db4eb3a5c268f76ab49854e7dc41a6f757f416b7aa16a68ff7
SHA512: 2144315d3f928829eca0b80a9fc8e0b82c259a85e2f0a7939d04889cb9e9e83b8e5248b700b46d7c4acc4381ceba30a1a13ced7d53d362d6638807f23314293b
Homepage: https://cran.r-project.org/package=sdPrior
Description: CRAN Package 'sdPrior' (Scale-Dependent Hyperpriors in Structured AdditiveDistributional Regression)
 Utility functions for scale-dependent and alternative hyperpriors. The
 distribution parameters may capture location, scale, shape, etc. and every
 parameter may depend on complex additive terms (fixed, random, smooth,
 spatial, etc.) similar to a generalized additive model. Hyperpriors for all
 effects can be elicitated within the package. Including complex tensor
 product interaction terms and variable selection priors. The basic model is
 explained in in Klein and Kneib (2016) <doi:10.1214/15-BA983>.

Package: r-cran-sdprism2d
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sdprism2d_0.1.1-1.ca2004.1_all.deb
Size: 17864
MD5sum: 82c3bba00c2a003c3623f58a9009c3c2
SHA1: 77d39375c15dd182617d0eaa38cdc3456ec60388
SHA256: a4383b272837ca7f5ba9c8361fad6fea7ce9af23959502a96e6d1d949f30b6ee
SHA512: 9bad5b27d9d6909f5891e04e0e07265f0a1009a6ab183edec02c0427f396c494d49889b629740538c44c9b610de0d8a74c69a9522d69e7b5e733fe8ffa667c14
Homepage: https://cran.r-project.org/package=SDPrism2D
Description: CRAN Package 'SDPrism2D' (Visualizing the Standard Deviation as the Size of a Prism)
 We visualize the standard deviation of a data set as the size of a prism
 whose volume equals the total volume of several prisms made from the
 Empirical Cumulative Distribution Function.

Package: r-cran-sdstaf
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-sp, r-cran-rgdal, r-cran-rgeos, r-cran-rastervis, r-cran-tidyr, r-cran-raster, r-cran-dismo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sdstaf_1.0.2-1.ca2004.1_all.deb
Size: 552644
MD5sum: 975fe921a1bf372e1c7b08f521063c1c
SHA1: ac5b4680854bbd0a8bd5a93314493f6fc234706d
SHA256: 29937d43506b2df8717ac3198cde5bdd8cec4f38d5b438f203387b01b7db313a
SHA512: e7001ea75fbdd9828c5485d9385e645d1cfaebcbc89dc6b2e3070d838a878eb8b1e58f58da15d5dc59297c4ebdcf585a4a11cd7c087346455a37ce0a9c730a5a
Homepage: https://cran.r-project.org/package=sdStaf
Description: CRAN Package 'sdStaf' (Species Distribution and Stability Future Models)
 Functions for post processing the outcomes of ecological niche models. It
 further include methods to build stability maps based on species
 distribution models under climate change projections and to reduce
 environmental data.

Package: r-cran-sdt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-sdt_1.0.0-1.ca2004.1_all.deb
Size: 716396
MD5sum: 3b75064327b7b348c483a3a41deaf5e1
SHA1: 6c4068d48448f89c3ee1fe5b3ef43f4fd88a9aad
SHA256: 15a22effb0ec092a56c2758ccc1fb9d5986778d81d96a35a59bcb307f5abaeca
SHA512: 8473fc34f8ea646e74c3ffbb4a02f58e7c847a9cb954a8560552b3fd1cee84c6ba5b8c41d0ae14b86e115b97572419c467a3ecea79092fe35546f1c615762df8
Homepage: https://cran.r-project.org/package=SDT
Description: CRAN Package 'SDT' (Self-Determination Theory Measures)
 Functions for self-determination motivation theory (SDT) to compute measures
 of motivation internalization, motivation simplex structure, and of the
 original and adjusted self-determination or relative autonomy index. SDT was
 introduced by Deci and Ryan (1985) <doi:10.1007/978-1-4899-2271-7>. See
 package?SDT for an overview.

Package: r-cran-sdtm.oak
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3062
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-admiraldev, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-stringr, r-cran-assertthat, r-cran-pillar, r-cran-cli
Suggests: r-cran-knitr, r-cran-htmltools, r-cran-lifecycle, r-cran-magrittr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-dt, r-cran-readr
Filename: pool/dists/focal/main/r-cran-sdtm.oak_0.2.0-1.ca2004.1_all.deb
Size: 1673824
MD5sum: 335c5434ecbd4664fb353697064b6fb1
SHA1: b4d7246d8454da08003885b0244db134d9306ba8
SHA256: b9f2818b2263c4edbb8d097f39bde6e0a76b1a8aee3edd9f821122f73c405345
SHA512: 08fd2e2b365a67b288cf9e7a7964928230f658e05b1cc2f02e9e267c36a7a617ee885c557f8319b4de042fc9430cf64b5daa8ad3a859d8b134facb7549919308
Homepage: https://cran.r-project.org/package=sdtm.oak
Description: CRAN Package 'sdtm.oak' (SDTM Data Transformation Engine)
 An Electronic Data Capture system (EDC) and Data Standard agnostic solution
 that enables the pharmaceutical programming community to develop Clinical
 Data Interchange Standards Consortium (CDISC) Study Data Tabulation Model
 (SDTM) datasets in R. The reusable algorithms concept in 'sdtm.oak' provides
 a framework for modular programming and can potentially automate the
 conversion of raw clinical data to SDTM through standardized SDTM
 specifications. SDTM is one of the required standards for data submission to
 the Food and Drug Administration (FDA) in the United States and
 Pharmaceuticals and Medical Devices Agency (PMDA) in Japan. SDTM standards
 are implemented following the SDTM Implementation Guide as defined by CDISC
 <https://www.cdisc.org/standards/foundational/sdtmig>.

Package: r-cran-sdtm.terminology
Architecture: all
Version: 2025-3-25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2066
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-sdtm.terminology_2025-3-25-1.ca2004.1_all.deb
Size: 1149128
MD5sum: 5bcc8022155ea6dea9ca7360a799cd8d
SHA1: 4dbebe506bf2f11c6d99718ceeef06b933e937e6
SHA256: a51d072ae8b4c1c252a568f0f9edfa3bb47098ff4ffcf3b99535a0bd65742fae
SHA512: e04ce4c00423644d19294edf8de690803520a9746e97ae52d36ce6bff7d6717292bd2735c542c31bb320cefa2b9c6b8d49bf8095d7ddd14caa2a5644a403f010
Homepage: https://cran.r-project.org/package=sdtm.terminology
Description: CRAN Package 'sdtm.terminology' (CDISC SDTM Controlled Terminology)
 Clinical Data Interchange Standards Consortium (CDISC) Standard Data
 Tabulation Model (SDTM) controlled terminology, 2025-03-25.  Source:
 <https://evs.nci.nih.gov/ftp1/CDISC/SDTM/>.

Package: r-cran-sdtmchecks
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1327
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyselect, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dt
Filename: pool/dists/focal/main/r-cran-sdtmchecks_1.0.0-1.ca2004.1_all.deb
Size: 750640
MD5sum: 20c1bc1d7ea55f806dfeaa1cdebb4067
SHA1: 988afe03a6d9e30046d1ecafb809dbc6ebcd4a37
SHA256: 7c58621eee40014854c91dd768cc087e1304b057d1c05b165454160906faf3ff
SHA512: c6c5e0d610b909d17bc5ffe044b7a36248e3a6914c15f947213348967b5693a2e11adc63f7f036228c319cfd23d2c0bb2c747781531b421afa658b52cc11fda3
Homepage: https://cran.r-project.org/package=sdtmchecks
Description: CRAN Package 'sdtmchecks' (Data Quality Checks for Study Data Tabulation Model (SDTM)Datasets)
 A series of checks to identify common issues in Study Data Tabulation Model
 (SDTM) datasets. These checks are intended to be generalizable, actionable,
 and meaningful for analysis.

Package: r-cran-sdtmval
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-haven, r-cran-knitr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readxl, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sdtmval_0.4.1-1.ca2004.1_all.deb
Size: 140156
MD5sum: 78a83cf969cceee8e4c6bb5fc42a0ced
SHA1: bbe3a36c8100a2c8c9670fbbbe9bc4b6cd6cd204
SHA256: f0f873f8bf09f265ab55b5be1287934f95cbee9dbb2b2eb4346db7691baba9de
SHA512: 1f7c6ca635e024f8457f78ae87a6ed50a9320e9f21a88e63e226a0df4e55717ef604ba9c08c1d8cc27c7d804c9a1e2a6bd9d083d10e08f9426a339cceb02065e
Homepage: https://cran.r-project.org/package=sdtmval
Description: CRAN Package 'sdtmval' (Validate SDTM Domains)
 Provides a set of tools to assist statistical programmers in validating
 Study Data Tabulation Model (SDTM) domain data sets.  Statistical
 programmers are required to validate that a SDTM data set domain has been
 programmed correctly, per the SDTM Implementation Guide (SDTMIG) by 'CDISC'
 (<https://www.cdisc.org/standards/foundational/sdtmig>), study
 specification, and study protocol using a process called double programming.
 Double programming involves two different programmers independently
 converting the raw electronic data cut (EDC) data into a SDTM domain data
 table and comparing their results to ensure accurate standardization of the
 data. One of these attempts is termed 'production' and the other
 'validation'. Generally, production runs are the official programs for
 submittals and these are written in 'SAS'. Validation runs can be programmed
 in another language, in this case 'R'.

Package: r-cran-se.eq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-se.eq_1.0-1.ca2004.1_all.deb
Size: 39376
MD5sum: 4b909e5411792088274c4cb7cbd24662
SHA1: 88f55b10281bea27fad331717cd824a784f173da
SHA256: 4f4354eb947aac4cf7c6c45730356d66adf0e8524c4060659789f234b1078dbc
SHA512: def5a0f7d74244bf7add6b72adeef651a8a4f51006e9f73370858b1d9b0a623c10dcbee590c4bda36450cc60f00b38acef4a00c9a2b96e6e7dfc222a5b3d90e5
Homepage: https://cran.r-project.org/package=SE.EQ
Description: CRAN Package 'SE.EQ' (SE-Test for Equivalence)
 Implements the SE-test for equivalence according to Hoffelder et al. (2015)
 <DOI:10.1080/10543406.2014.920344>.  The SE-test for equivalence is a
 multivariate two-sample equivalence test.  Distance measure of the test is
 the sum of standardized differences between the expected values or in other
 words: the sum of effect sizes (SE) of all components of the two
 multivariate samples.  The test is an asymptotically valid test for normally
 distributed data (see Hoffelder et al.,2015).  The function SE.EQ()
 implements the SE-test for equivalence according to Hoffelder et al. (2015).
 The function SE.EQ.dissolution.profiles() implements a variant of the
 SE-test for equivalence for similarity analyses of dissolution profiles as
 mentioned in Suarez-Sharp et al.(2020) <DOI:10.1208/s12248-020-00458-9>).
 The equivalence margin used in SE.EQ.dissolution.profiles() is analogically
 defined as for the T2EQ approach according to Hoffelder (2019)
 <DOI:10.1002/bimj.201700257>) by means of a systematic shift in location of
 10 [\% of label claim] of both dissolution profile populations.
 SE.EQ.dissolution.profiles() checks whether the weighted mean of the
 differences of the expected values of both dissolution profile populations
 is statistically significantly smaller than 10 [\% of label claim]. The
 weights are built up by the inverse variances.

Package: r-cran-sea
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7942
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-mass, r-cran-doparallel, r-cran-foreach, r-cran-kscorrect, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-sea_2.0.1-1.ca2004.1_all.deb
Size: 7505684
MD5sum: 61ad1afe55461f4ab0177ef80d6815fe
SHA1: 69b4f1282c8c3fb93c826a0eac5d339855b4f9b7
SHA256: 379576af2ef0570fce572612819d332de1ad9a7394b7372457599bf4a01230cb
SHA512: cf98a7470a796720db97fe922d52e21f60be6e36fbc575b842c5f29df756c5d5d62d57fd844474b1fd73236a9823ef068a32c92a3b1a68c5ef394267aad676df
Homepage: https://cran.r-project.org/package=SEA
Description: CRAN Package 'SEA' (Segregation Analysis)
 A few major genes and a series of polygene are responsive for each
 quantitative trait. Major genes are individually identified while polygene
 is collectively detected. This is mixed major genes plus polygene
 inheritance analysis or segregation analysis (SEA). In the SEA, phenotypes
 from a single or multiple bi-parental segregation populations along with
 their parents are used to fit all the possible models and the best model of
 the trait for population phenotypic distributions is viewed as the model of
 the trait. There are fourteen types of population combinations available.
 Zhang Yuan-Ming, Gai Jun-Yi, Yang Yong-Hua (2003,
 <doi:10.1017/S0016672303006141>).

Package: r-cran-seacarb
Architecture: all
Version: 3.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 737
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-oce, r-cran-gsw, r-cran-solvesaphe
Filename: pool/dists/focal/main/r-cran-seacarb_3.3.3-1.ca2004.1_all.deb
Size: 691568
MD5sum: bac58bf384b3dcbd242395faa614beaf
SHA1: a1383c69452d7b809aca395b4bd7c2d1f5c9ce93
SHA256: 1c7c64768cdb062828c47645b625d20370fe558fa6449f408865078e953fab85
SHA512: 3b5eae94c03507dc3b2370b2be13a14be24533631dc9a1b9e30dde727b6b79dffbb6f32dda9579f606ab0789f78ea267512b720de88b6bdc82f12c679d82ac4e
Homepage: https://cran.r-project.org/package=seacarb
Description: CRAN Package 'seacarb' (Seawater Carbonate Chemistry)
 Calculates parameters of the seawater carbonate system and assists the
 design of ocean acidification perturbation experiments.

Package: r-cran-seagle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3094
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-compquadform
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-seagle_1.0.1-1.ca2004.1_all.deb
Size: 480624
MD5sum: afb87347e802c59bb547ea921274ba96
SHA1: 8d923967d99da2345bf261534107fc1417e0c8c9
SHA256: 4c21e1409391db4d628bb9a3bee724b59f691e3824b998e653fcc95a564b940d
SHA512: 40bf3d8a524d0af2824b38c2f3ad19116145ec10ae75d8bf78cd35186194ce260bc9c90fd4f0053d9c716d93cc60ed83ca4854ee3c3b7f71c8f4dfb4cb8bcb0a
Homepage: https://cran.r-project.org/package=SEAGLE
Description: CRAN Package 'SEAGLE' (Scalable Exact Algorithm for Large-Scale Set-BasedGene-Environment Interaction Tests)
 The explosion of biobank data offers immediate opportunities for
 gene-environment (GxE) interaction studies of complex diseases because of
 the large sample sizes and rich collection in genetic and non-genetic
 information.  However, the extremely large sample size also introduces new
 computational challenges in GxE assessment, especially for set-based GxE
 variance component (VC) tests, a widely used strategy to boost overall GxE
 signals and to evaluate the joint GxE effect of multiple variants from a
 biologically meaningful unit (e.g., gene).  We present 'SEAGLE', a Scalable
 Exact AlGorithm for Large-scale Set-based GxE tests, to permit GxE VC test
 scalable to biobank data. 'SEAGLE' employs modern matrix computations to
 achieve the same “exact” results as the original GxE VC tests, and does not
 impose additional assumptions nor relies on approximations.  'SEAGLE' can
 easily accommodate sample sizes in the order of 10^5, is implementable on
 standard laptops, and does not require specialized equipment.  The
 accompanying manuscript for this package can be found at Chi, Ipsen, Hsiao,
 Lin, Wang, Lee, Lu, and Tzeng. (2021+) <arXiv:2105.03228>.

Package: r-cran-seagraphs
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2370
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sfnetworks, r-cran-sf, r-cran-terra, r-cran-leaflet, r-cran-leaflet.minicharts, r-cran-leaflet.extras2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-seagraphs_0.1.2-1.ca2004.1_all.deb
Size: 1499648
MD5sum: 7faceb480274c3d5276f30474347c651
SHA1: 39a5ce772162fad5ff7b1e8e26b9fd0ebe3340db
SHA256: eb830ff930957c117b0b76982e74301515c9dc0890a83c400e18b4bc33b02c87
SHA512: 87d5186b699f3627e02bcee71d8adedeba0b9f022bebd41affef8d21e71ae992832797d46ed240b8b222d6686141a10de0762893387f199c94637f8a4aee4c5d
Homepage: https://cran.r-project.org/package=SeaGraphs
Description: CRAN Package 'SeaGraphs' (Sea Currents to Connectivity Transformation)
 Transformation of sea currents to connectivity data. Two files of horizontal
 and vertical currents flows are transformed into connectivity data in the
 form of sfnetwork, shapefile, edge list and adjacency matrix. An application
 example is shown at Nagkoulis et al. (2025) <doi:10.1016/j.dib.2024.111268>.

Package: r-cran-seahors
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-shinythemes, r-cran-shinyjs, r-cran-shinywidgets, r-cran-ggplot2, r-cran-gridextra, r-cran-dplyr, r-cran-plotly, r-cran-dt, r-cran-mass, r-cran-readxl, r-cran-raster, r-cran-stringr, r-cran-viridis, r-cran-rmarkdown, r-cran-htmlwidgets
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-seahors_1.9.0-1.ca2004.1_all.deb
Size: 422484
MD5sum: e7329aa9847495f76ae12b5cda0d35fc
SHA1: 1ff7efdb0128d7b2a13167a4ebaf99f0e1d1a426
SHA256: a32ec47706e286505b4b62e0ff10f75d911cac7b08a5ea9728ef22e3b7ea9e64
SHA512: a8dd116b660b14841846741964eff3d926b48b0efc7621a6dbc837cb68c874f6f4170e75124df838692b861e34ab3e1625023b40dea1be3586646173c8c8a941
Homepage: https://cran.r-project.org/package=SEAHORS
Description: CRAN Package 'SEAHORS' (Spatial Exploration of ArcHaeological Objects in R Shiny)
 An R 'Shiny' application dedicated to the intra-site spatial analysis of
 piece-plotted archaeological remains, making the two and three-dimensional
 spatial exploration of archaeological data as user-friendly as possible.
 Documentation about 'SEAHORS' is provided by the vignette included in this
 package and by the companion scientific paper: Royer, Discamps, Plutniak,
 Thomas (2023, PCI Archaeology, <doi:10.5281/zenodo.7674698>).

Package: r-cran-sealasso
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Filename: pool/dists/focal/main/r-cran-sealasso_0.1-3-1.ca2004.1_all.deb
Size: 159112
MD5sum: 79b9d1525ea13ce67ddd3f3eb01e1e4b
SHA1: 0b64af92ab70dd86a60cbac5ab51ee73edf6aba4
SHA256: 903b919b16298c27730165c3c2e30b4a3198a32124d94a1db7ad75335fcf0893
SHA512: 704d82c3cf2d7fbab8627f9c44b8604d43cb6afdf92d49f67f52ef221271857bb23feed149d1787ebd9501ba276d2f3d7578aa1368e273e53c64d81306c1743a
Homepage: https://cran.r-project.org/package=sealasso
Description: CRAN Package 'sealasso' (Standard Error Adjusted Adaptive Lasso)
 Standard error adjusted adaptive lasso (SEA-lasso) is a version of the
 adaptive lasso, which incorporates OLS standard error to the L1 penalty
 weight. This method is intended for variable selection under linear
 regression settings (n > p). This new weight assignment strategy is
 especially useful when the collinearity of the design matrix is a concern.

Package: r-cran-seamless
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3138
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biobase, r-cran-ggplot2, r-cran-optparse, r-cran-data.table
Suggests: r-cran-ggtern, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-seamless_0.1.1-1.ca2004.1_all.deb
Size: 3161184
MD5sum: 532d64f3d1946f7059467a98e822190c
SHA1: 87da01fba32cfee033f87d66bb11de4cf626a6e2
SHA256: 030cd195a3bc4da397b280a81d17532175e19f22ce7dca629c44dfcd62562da0
SHA512: 3e4b7e1f064d8a8a84b43465419f68ab11952d3eade71ebb664d854a01d9d82f6cce167d35ca134159665bbd0193c76bddd1f1748390bf79ee1fadd4ad7f8dcb
Homepage: https://cran.r-project.org/package=seAMLess
Description: CRAN Package 'seAMLess' (A Single Cell Transcriptomics Based Deconvolution Pipeline forLeukemia)
 Given a bulk transcriptomic (RNA-seq) sample of an Myeloid Leukemia patient
 calculates immune composition and drug resistance for different
 small-molecule inhibitors. Published in
 <https://www.nature.com/articles/s41698-024-00596-9>.

Package: r-cran-searchconsoler
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-googleauthr, r-cran-stringr
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-searchconsoler_0.4.0-1.ca2004.1_all.deb
Size: 95504
MD5sum: d9af3b4e9dd7e71f01863b494139e436
SHA1: 23df4e9e19b1bac44050a0010af346b0eef1a93d
SHA256: 187d2c646aa2e79aa0d4af12afd661716052a8f6be2c70631f8843d9909c0522
SHA512: a3a2bbfde99f0bb84589f297dd5fe93aa3bcd9d590286d9cd641de839f5ca6ffae211cff05f027c61e795358e606dd996fb6a29a153504a8accbc9fb611dd414
Homepage: https://cran.r-project.org/package=searchConsoleR
Description: CRAN Package 'searchConsoleR' (Google Search Console R Client)
 Provides an interface with the Google Search Console, formally called Google
 Webmaster Tools.

Package: r-cran-searcher
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-searcher_0.0.7-1.ca2004.1_all.deb
Size: 50624
MD5sum: 6b14bf64e487397348acdbdbb2b111ba
SHA1: 4a7c6d7115b92e581e584bba2146494f8be2e096
SHA256: a111502f5fceda4c46b9e5f246bd87b75a928a4be92d8bc2c9aceff37907cd8b
SHA512: c571aa157a19e96ecd328e6d5e3c924c021096809727199f76adead5322045443384a7c06d9ea6c6e82a1876c7b0cf387b92a5ff57770697840da564208f02bc
Homepage: https://cran.r-project.org/package=searcher
Description: CRAN Package 'searcher' (Query Search Interfaces)
 Provides a search interface to look up terms on 'Google', 'Bing',
 'DuckDuckGo', 'Startpage', 'Ecosia', 'rseek', 'Twitter', 'StackOverflow',
 'RStudio Community', 'GitHub', and 'BitBucket'.  Upon searching, a browser
 window will open with the aforementioned search results.

Package: r-cran-sears
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boin
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sears_0.1.0-1.ca2004.1_all.deb
Size: 42996
MD5sum: 07ec47e5bec829e38385455ec75c7af6
SHA1: c56c5ecb5bb6d86eae49535a66f05a5fe078d48c
SHA256: 8f411d0fcf539f05d22b552f09933e57eac77c75aba8b19cff868128ce3dbdc5
SHA512: 7b4742280efce17462aadf7f6c864a58fad40c3ada2477d382f00f6c44428872ccc957160f1e37a7bd7cba1f3790da64fac67018d732c4913f4d0d2382ba32e3
Homepage: https://cran.r-project.org/package=SEARS
Description: CRAN Package 'SEARS' (Seamless Dose Escalation/Expansion with Adaptive RandomizationScheme)
 A seamless design that combines phase I dose escalation based on toxicity
 with phase II dose expansion and dose comparison based on efficacy.

Package: r-cran-seasepi
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-mvtnorm, r-cran-ngspatial
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-seasepi_0.0.1-1.ca2004.1_all.deb
Size: 137944
MD5sum: d986431bf6471a9700ebcede7b52e0df
SHA1: 1470ff24fbe6a2e4093ebe56a50dffc0ae8404bc
SHA256: b19fe6815b93295c5e13b2e7769fcc3c1ce0fbe441c43a13031e230c9b8e7d93
SHA512: b5b1204e81817d487212e63efd0c55004a94cedf91060d32278df61211a67e75fee7d555a55661d33ec705a63c13c3174b0583ff9af1182848050c1c4d34e44d
Homepage: https://cran.r-project.org/package=SeasEpi
Description: CRAN Package 'SeasEpi' (Spatiotemporal Modeling of Seasonal Infectious Disease)
 Spatiotemporal individual-level model of seasonal infectious disease
 transmission within the Susceptible-Exposed-Infectious-Recovered-Susceptible
 (SEIRS) framework are applied to model seasonal infectious disease
 transmission. This package employs a likelihood based Monte Carlo
 Expectation Conditional Maximization (MCECM) algorithm for estimating model
 parameters. In addition to model fitting and parameter estimation, the
 package offers functions for calculating AIC using real pandemic data and
 conducting simulation studies customized to user-specified model
 configurations.

Package: r-cran-seasic
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seasic_0.1-1.ca2004.1_all.deb
Size: 73396
MD5sum: db36f068503043aea780b47f591a4369
SHA1: 2ad4fb3d85d5eb659c4d3811ebdd0a2c8bed3c8e
SHA256: 14495fd74d7aa54a42d991200033ccc4a56967cea2dd085488b0c13be777b113
SHA512: 4b1e0e8d1989267d5faf5e41ebd4c238f5713ad14b62086c67376a6c954398724d44598fdefb4679ac999a5bf1883ef5ab47966116150e418e03d7ca29fd4fb2
Homepage: https://cran.r-project.org/package=SEAsic
Description: CRAN Package 'SEAsic' (Score Equity Assessment- summary index computation)
 This package conducts Score Equity Assessment (SEA; Dorans, 2004) by
 calculating and plotting multiple SEA indices as introduced by a variety of
 authors and summarized by Huggins and Penfield (2012).

Package: r-cran-season
Architecture: all
Version: 0.3.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mgcv, r-cran-dlnm, r-cran-coda, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-season_0.3.15-1.ca2004.1_all.deb
Size: 517200
MD5sum: 6715b5d9543932a4f09d883a4ff5bc2f
SHA1: fe060fa3736521b2ab18a7f544bec4b0db6f97b7
SHA256: 70d1ade9f3ff98f526cdb452d54ed14941a548089c665f244c1d22015d841d7c
SHA512: 5cbb3343d0671f74922e6f388d9e64bcd918649d9f7b4535c8b12d22112492f9464107f951d7bb6c2642661033fd2c36ac836749f916f940c0b67c90eb5a7727
Homepage: https://cran.r-project.org/package=season
Description: CRAN Package 'season' (Seasonal Analysis of Health Data)
 Routines for the seasonal analysis of health data, including regression
 models, time-stratified case-crossover, plotting functions and residual
 checks, see Barnett and Dobson (2010) ISBN 978-3-642-10748-1. Thanks to
 Yuming Guo for checking the case-crossover code.

Package: r-cran-seasonal
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-x13binary
Suggests: r-cran-seasonalview, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-seasonal_1.10.0-1.ca2004.1_all.deb
Size: 548652
MD5sum: 417be38eb94f856dab0cd5ac399eadaa
SHA1: 754e397c612932fc6255526f805ef7f9b317d897
SHA256: 4e99c6338ae4f571a7a5ba39a0fd3f0260183e93123e3138147e384c257b47b8
SHA512: dec2e6357fb82a4190289224f174c71dc58edd619561baedd79dedb742a137ed74faa7a8b6766a43019ab1acabd703fea4d57b27b9ba95fc50f98716540a6180
Homepage: https://cran.r-project.org/package=seasonal
Description: CRAN Package 'seasonal' (R Interface to X-13-ARIMA-SEATS)
 Easy-to-use interface to X-13-ARIMA-SEATS, the seasonal adjustment software
 by the US Census Bureau. It offers full access to almost all options and
 outputs of X-13, including X-11 and SEATS, automatic ARIMA model search,
 outlier detection and support for user defined holiday variables, such as
 Chinese New Year or Indian Diwali. A graphical user interface can be used
 through the 'seasonalview' package. Uses the X-13-binaries from the
 'x13binary' package.

Package: r-cran-seasonalclumped
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4548
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-ttr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seasonalclumped_0.3.2-1.ca2004.1_all.deb
Size: 3619620
MD5sum: 2c781b54746303025642663829fb4e77
SHA1: 4980df5689ce1f4d4e02b15d6a0ee3c10cd57459
SHA256: ed98a5e03a829ae89ccd5e632d4b063e991eed46f47f34b6b6510fe36cb60b11
SHA512: 853fe6e3c104b9b4887f7ceef255df8032d8b4b1f91c54e48afdb3e7c8166dcdd46591d1467829e32a556802e883d3e0560e36e097cf9ee892acb3a03b4fe094
Homepage: https://cran.r-project.org/package=seasonalclumped
Description: CRAN Package 'seasonalclumped' (Toolbox for Clumped Isotope Seasonality Reconstructions)
 Compiles a set of functions and dummy data that simplify reconstructions of
 seasonal temperature variability in the geological past from stable isotope
 and clumped isotope records in sub–annually resolved carbonate archives
 (e.g. mollusk shells, corals and speleothems). For more information, see de
 Winter et al., 2020 (Climate of the Past Discussions,
 <doi:10.5194/cp-2020-118>).

Package: r-cran-seasonalityplot
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1028
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-quantmod, r-cran-dygraphs, r-cran-plotrix, r-cran-htmltools, r-cran-zoo, r-cran-lubridate, r-cran-crypto2, r-cran-ttr, r-cran-assertthat
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-seasonalityplot_1.3.1-1.ca2004.1_all.deb
Size: 940076
MD5sum: c7b2745de048b3310941809563691900
SHA1: ac82223db5f19632da392d1f5940bab854427a3c
SHA256: 0e908de07f43b9b570c562fb7d6e16cd11eff820ae10636b446f1110982e56c5
SHA512: 9963e83ae9cafddbcb896126ad6072e998d0dbcf415c71a88d7e662df14f7a34ad438e4a1bd5ef27d5e5c875cae3c122e659b113bda742582ac273437307e23d
Homepage: https://cran.r-project.org/package=seasonalityPlot
Description: CRAN Package 'seasonalityPlot' (Seasonality Variation Plots of Stock Prices and Cryptocurrencies)
 The price action at any given time is determined by investor sentiment and
 market conditions. Although there is no established principle, over a long
 period of time, things often move with a certain periodicity.  This is
 sometimes referred to as anomaly.  The seasonPlot() function in this package
 calculates and visualizes the average value of price movements over a year
 for any given period.  In addition, the monthly increase or decrease in
 price movement is represented with a colored background.  This seasonPlot()
 function can use the same symbols as the 'quantmod' package (e.g. ^IXIC,
 ^DJI, SPY, BTC-USD, and ETH-USD etc).

Package: r-cran-seasonalview
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-seasonal, r-cran-shinydashboard, r-cran-shiny, r-cran-dygraphs, r-cran-htmlwidgets, r-cran-openxlsx, r-cran-xtable, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-seasonalview_1.0.0-1.ca2004.1_all.deb
Size: 88328
MD5sum: 7c461d8ecfc8713189fcebce0fd9dd1d
SHA1: 5b8ea58987ee192cd0098f1c40375c80ee11f5cb
SHA256: 3b1983cc11ff96b14a4715ff3035faa63b78c23f286d6fd9c114f291a6e12062
SHA512: 5019fd365a1a664970ba218070752cad481e40ba32a5b0ad65f4ea7144f8fc1500c58f7a37bc0e3c67965e20bda8215a2d42193f8e4be1ac90214e31f12fc31a
Homepage: https://cran.r-project.org/package=seasonalview
Description: CRAN Package 'seasonalview' (Graphical User Interface for Seasonal Adjustment)
 A graphical user interface to the 'seasonal' package and 'X-13ARIMA-SEATS',
 the U.S. Census Bureau's seasonal adjustment software.

Package: r-cran-seasonder
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bit64, r-cran-bitops, r-cran-constants, r-cran-data.table, r-cran-dplyr, r-cran-geosphere, r-cran-ggplot2, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-pracma, r-cran-purrr, r-cran-rlang, r-cran-slider, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-uuid, r-cran-whisker, r-cran-yaml, r-cran-zoo
Suggests: r-cran-here, r-cran-mockthat, r-cran-testthat, r-cran-openssl, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seasonder_0.2.8-1.ca2004.1_all.deb
Size: 4668376
MD5sum: 5c7f0e19669e686e7d5a83931cfa109b
SHA1: f0b504fa3cfa3a11ba23a629579a2560268de717
SHA256: 78adebe76af418848de41ef7fb71e458901b04bae0f30d95efa9ff0fd54ca347
SHA512: ce7239d542e699159517521aa9374e444e783dbe3a52cc59e045a1aef1c80f2b626f5584929b0aad65e1ef464b06c8844f7f4e85c9a9cc1a9a130e549deb5161
Homepage: https://cran.r-project.org/package=SeaSondeR
Description: CRAN Package 'SeaSondeR' (Radial Metrics from SeaSonde HF-Radar Data)
 Read CODAR's SeaSonde High-Frequency Radar spectra files, compute radial
 metrics, and generate plots for spectra and antenna pattern data.
 Implementation is based in technical manuals, publications and patents,
 please refer to the following documents for more information: Barrick and
 Lipa (1999) <https://codar.com/images/about/patents/05990834.PDF>; CODAR
 Ocean Sensors (2002)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/Informative/FirstOrder_Settings.pdf>;
 Lipa et al. (2006) <doi:10.1109/joe.2006.886104>; Paolo et al. (2007)
 <doi:10.1109/oceans.2007.4449265>; CODAR Ocean Sensors (2009a)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/GuidesToFileFormats/File_AntennaPattern.pdf>;
 CODAR Ocean Sensors (2009b)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Docs/GuidesToFileFormats/File_CrossSpectraReduced.pdf>;
 CODAR Ocean Sensors (2016a)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/File_Formats/File_Cross_Spectra_V6.pdf>;
 CODAR Ocean Sensors (2016b)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/File_Formats/FIle_Reduced_Spectra.pdf>;
 CODAR Ocean Sensors (2016c)
 <http://support.codar.com/Technicians_Information_Page_for_SeaSondes/Manuals_Documentation_Release_8/Application_Guides/Guide_SpectraPlotterMap.pdf>;
 Bushnell and Worthington (2022) <doi:10.25923/4c5x-g538>.

Package: r-cran-seastests
Architecture: all
Version: 0.15.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-seastests_0.15.4-1.ca2004.1_all.deb
Size: 73640
MD5sum: 8a1c3810408b7245efee170cbab4237d
SHA1: 66a4e8c3e07efe3b61718f11012538f9f29a101d
SHA256: c95902b7eedce13835a06770a6e1b9c56ec89ac2e0d244a546284231fde37991
SHA512: b87e68a0e76780b507a85f809207ac7f5532ba3d225621976fbc6d6ee1cefbce768016d46b0a95972239b321d35d9a5061c7ce8982f798bc946fc6b78ee99f87
Homepage: https://cran.r-project.org/package=seastests
Description: CRAN Package 'seastests' (Seasonality Tests)
 An overall test for seasonality of a given time series in addition to a set
 of individual seasonality tests as described by Ollech and Webel
 (forthcoming): An overall seasonality test. Bundesbank Discussion Paper.

Package: r-cran-seaval
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 19708
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-ggnewscale, r-cran-ggplotify, r-cran-lifecycle, r-cran-maps, r-cran-ncdf4, r-cran-patchwork, r-cran-rcolorbrewer, r-cran-scales, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-seaval_1.2.0-1.ca2004.1_all.deb
Size: 2821168
MD5sum: ea6d7a1f335119006b0942cc5642ca4e
SHA1: 65ed1d92312fba6be0fa511c03fe87525971c4e0
SHA256: 668388da96927cb11785c1f4f8aac314e576d2584cea830b4cd9ac8bb1931b8e
SHA512: 007fc2c11d1ccdca2553bfdf519250bc7e4a16454236b3d9238b1a29578ab26d66c34b902c5791441b4c6c08f08d3548c4bec3e7f61bfb0dcc5eb8121b949a2c
Homepage: https://cran.r-project.org/package=SeaVal
Description: CRAN Package 'SeaVal' (Validation of Seasonal Weather Forecasts)
 Provides tools for processing and evaluating seasonal weather forecasts,
 with an emphasis on tercile forecasts. We follow the World Meteorological
 Organization's "Guidance on Verification of Operational Seasonal Climate
 Forecasts", S.J.Mason (2018, ISBN: 978-92-63-11220-0, URL:
 <https://library.wmo.int/idurl/4/56227>).  The development was supported by
 the European Union’s Horizon 2020 research and innovation programme under
 grant agreement no. 869730 (CONFER).  A comprehensive online tutorial is
 available at <https://seasonalforecastingengine.github.io/SeaValDoc/>.

Package: r-cran-seawaveq
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rms, r-cran-lubridate, r-cran-reshape2, r-cran-plyr
Suggests: r-cran-waterdata
Filename: pool/dists/focal/main/r-cran-seawaveq_2.0.2-1.ca2004.1_all.deb
Size: 1003012
MD5sum: be967a11fff8742de651228062cc22b5
SHA1: d410f6c05d0a9dc9f9e3ce610ab1d46ec2c4ef52
SHA256: c4e2e39590cb9cd8c3cea75778dbe8e553f6efc2795b5dc254ee82886a8b9c77
SHA512: a310c46a421a13ef5f485b23cbd1b959d7b51ba838ef8d32c84da0a02216904b9a58b5505487cafe14c16dc627cdee666fb6ba11001df74ae8550f2aa1d65cf2
Homepage: https://cran.r-project.org/package=seawaveQ
Description: CRAN Package 'seawaveQ' (SEAWAVE-Q Model)
 A model and utilities for analyzing trends in chemical concentrations in
 streams with a seasonal wave (seawave) and adjustment for streamflow (Q) and
 other ancillary variables. See Ryberg and York, 2020,
 <doi:10.3133/ofr20201082>.

Package: r-cran-sebr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 864
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-fields, r-cran-gpgp, r-cran-knitr, r-cran-mass, r-cran-plyr, r-cran-quantreg, r-cran-rmarkdown, r-cran-spikeslabgam, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-sebr_1.1.0-1.ca2004.1_all.deb
Size: 617356
MD5sum: dafddf68f02c5dd39b3a2f0c0ceb4c00
SHA1: 74b6f79fb18bf77474a1e06f51abbe3db542da70
SHA256: 7b0eeb9b9644d353016b97b5c992cc058cccb46b7b3e5f20788f2a8bdc489d67
SHA512: 6482390fabf17af5f179c7bfb5d60b32030e007377b65dd8d5bd3509c1f53b63c369f21d8561595a5d30b4bda3015a48e580c041870da4f785e54d638ce4910c
Homepage: https://cran.r-project.org/package=SeBR
Description: CRAN Package 'SeBR' (Semiparametric Bayesian Regression Analysis)
 Monte Carlo sampling algorithms for semiparametric Bayesian regression
 analysis. These models feature a nonparametric (unknown) transformation of
 the data paired with widely-used regression models including linear
 regression, spline regression, quantile regression, and Gaussian processes.
 The transformation enables broader applicability of these key models,
 including for real-valued, positive, and compactly-supported data with
 challenging distributional features. The samplers prioritize computational
 scalability and, for most cases, Monte Carlo (not MCMC) sampling for greater
 efficiency. Details of the methods and algorithms are provided in Kowal and
 Wu (2024) <doi:10.1080/01621459.2024.2395586>.

Package: r-cran-secdim
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2466
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcpparmadillo, r-cran-geosphere
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-secdim_3.2-1.ca2004.1_all.deb
Size: 2385588
MD5sum: 9814326a529d72fd8d620fdbc413c17a
SHA1: 8ea4f0fb3b2a2547ac08138684104cfeb2a147b3
SHA256: 0cf2d2411e5740a908d66142c3cf37628afdb0517d572659887e6ce21eaeed14
SHA512: 2e00616cac23f1324966ed202ee1f581d630a446dd456cf76c768c4e7eb3afabc2c3f9d5aedf827cad2dcfefb0832d73773e588a1230d942abb4d8c85c0a1351
Homepage: https://cran.r-project.org/package=SecDim
Description: CRAN Package 'SecDim' (The Second Dimension of Spatial Association)
 Most of the current methods explore spatial association using observations
 at sample locations, which are defined as the first dimension of spatial
 association (FDA). The proposed concept of the second dimension of spatial
 association (SDA), as described in Yongze Song (2022)
 <doi:10.1016/j.jag.2022.102834>, aims to extract in-depth information about
 the geographical environment from locations outside sample locations for
 exploring spatial association.

Package: r-cran-secfish
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-hmisc, r-cran-optimization
Filename: pool/dists/focal/main/r-cran-secfish_0.1.7-1.ca2004.1_all.deb
Size: 106780
MD5sum: 12c1e2ca8d8f904f79d64e7543916a8f
SHA1: 97f47b0d7c19b91eb8dea621ae6c3ef1cf02e1d6
SHA256: a5d22d76106af5f286c663a895a193d244a38e239ef0d0efcad3f6d26c78b5f4
SHA512: a0e543832fd115263faabef66b2c593e0b734cf7c4407908b6d4e7a692f80b508537f48151e0a51a1ee0b251b2af3f68f841eea3d1eb61256735545bd0fba78c
Homepage: https://cran.r-project.org/package=SECFISH
Description: CRAN Package 'SECFISH' (Disaggregate Variable Costs)
 These functions were developed within SECFISH project (Strengthening
 regional cooperation in the area of fisheries data collection-Socio-economic
 data collection for fisheries, aquaculture and the processing industry at EU
 level). They are aimed at identifying correlations between costs and
 transversal variables by metier using individual vessel data and for
 disaggregating variable costs from fleet segment to metier level.

Package: r-cran-seckw
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-seckw_0.2-1.ca2004.1_all.deb
Size: 21524
MD5sum: adb08e6df504d3efe94cd0f7114364da
SHA1: 4f0f7b731bef252e35568ad7a951b28753be60a1
SHA256: 773f6e46a02c0b39e4d6865d7429b978b9154de24a0817a47d4f6831b1f15132
SHA512: e6d1ff185f09471ad46136b08154245350355aa19dd1172042974a2ad1eca5afda2812682f1c4503c537a8b2b990478cf18c549262cfef3d0667531a704deee2
Homepage: https://cran.r-project.org/package=SecKW
Description: CRAN Package 'SecKW' (The SecKW Distribution)
 Density, distribution function, quantile function, random generation and
 survival function for the Secant Kumaraswamy Weibull Distribution as defined
 by SOUZA, L. New Trigonometric Class of Probabilistic Distributions.  219 p.
 Thesis (Doctorate in Biometry and Applied Statistics) - Department of
 Statistics and Information, Federal Rural University of Pernambuco, Recife,
 Pernambuco, 2015 (available at
 <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>)
 and BRITO, C. C. R. Method Distributions generator and Probability
 Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied
 Statistics) - Department of Statistics and Information, Federal Rural
 University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).

Package: r-cran-secp
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spsl
Filename: pool/dists/focal/main/r-cran-secp_0.1.5-1.ca2004.1_all.deb
Size: 44208
MD5sum: a6417f09ee5824761900c2f14b20d40f
SHA1: 78f4265e5e51d0e2c9f8fabbf2d9dcb8dccc40b3
SHA256: f4fafdd611068fc2dea6ef723dea2fcc842a1dfbedac350dc58b272a5f2aefcc
SHA512: 4b7dcb8d54205cd9ec1dfc15adb7b96e87c4531e38897718679d33c5a6a3d64c7817af9065614e6872bd1cadee12cfc2ddc9434d3c3a93434d127ad6b8ce1700
Homepage: https://cran.r-project.org/package=SECP
Description: CRAN Package 'SECP' (Statistical Estimation of Cluster Parameters)
 Estimating parameters of site clusters on 2D & 3D square lattice with
 various lattice sizes, relative fractions of open sites (occupation
 probability), iso- & anisotropy, von Neumann & Moore (1,d)-neighborhoods,
 described by Moskalev P.V. et al. (2011) <arXiv:1105.2334v1>.

Package: r-cran-secret
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 783
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-openssl, r-cran-rprojroot, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-secret_1.1.0-1.ca2004.1_all.deb
Size: 291328
MD5sum: e3bec6222221e47d543e651bf47ce61c
SHA1: 1adb50f0cef548799312027c9491ad0882a87e27
SHA256: 2c1b98b254664aaa37a306d8c893570c9bb64c52df1c3989da8a91abfe0670ea
SHA512: e566193bf443ee6beff8359478dc2dc3787e6102342c3219dfcb8ff2ef51a8aea2d936aa82084d693a03002408ac2c51876876b0808388a70090c72b8fd536ce
Homepage: https://cran.r-project.org/package=secret
Description: CRAN Package 'secret' (Share Sensitive Information in R Packages)
 Allow sharing sensitive information, for example passwords, 'API' keys,
 etc., in R packages, using public key cryptography.

Package: r-cran-secretsprovider
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-getpass
Filename: pool/dists/focal/main/r-cran-secretsprovider_1.0.0-1.ca2004.1_all.deb
Size: 14464
MD5sum: d3512cd32f875004b0935aa796a2c093
SHA1: f39229e48556ce4194e50d81873478dd9e25f6fd
SHA256: 24a1f7bc8e01a26674509520bb6dc5943c711871075e222c1c46f5ac4c7bfd52
SHA512: f56e250cf17842890767126e8aecaf3b519f37e3ad5185d85e3ecb8f2786309976437b86e5ffd9734295080a44fa95c003d112c3e4a8f2ad1280e7a29985f1b2
Homepage: https://cran.r-project.org/package=SecretsProvider
Description: CRAN Package 'SecretsProvider' (Save and Retrieve Name-Value Pairs to and from a File)
 Facilitates secret management by storing credentials in a dedicated file,
 keeping them out of your code base.  The secrets are stored without
 encryption.  This package is compatible with secrets stored by the
 'SecretsProvider' 'Python' package
 <https://pypi.org/project/SecretsProvider/>.

Package: r-cran-secrettext
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-testthat, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-secrettext_0.1.0-1.ca2004.1_all.deb
Size: 15068
MD5sum: a35fe801996fc7ee878db3a7184ea9e2
SHA1: 83a256b85aeb066c27702f75ea6a24d27b12e735
SHA256: c012caefc5f1a42f3b59ba34fcaca115be6ca9af80af0777ced64ae839a750dd
SHA512: 481dea83d358ababdbe03353ab4104c6baa39a71615b53e2fffc106001f07c4b2cd5079ae73de4d05abb65fe98d1b50e25d59d502b75e40eff1501e7c069fa76
Homepage: https://cran.r-project.org/package=secrettext
Description: CRAN Package 'secrettext' (Encrypt Text Using a Shifting Substitution Cipher)
 Encrypt text using a simple shifting substitution cipher with setcode(),
 providing two numeric keys used to define the encryption algorithm. The
 resulting text can be decoded using decode() function and the two numeric
 keys specified during encryption.

Package: r-cran-secrlinear
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 879
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-secr, r-cran-mass, r-cran-sp, r-cran-igraph, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-secrdesign, r-cran-spatstat, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-secrlinear_1.2.4-1.ca2004.1_all.deb
Size: 733996
MD5sum: d6a057686e9981bb35ff190079fcd62b
SHA1: 7c37db3a2020cd0016b9aadf438fcc3876702547
SHA256: 1a008d9f811930a2216ed5b67a9cb7a78b65e1a8354964e9219978fe32b02f1d
SHA512: a87f059eb068693a99361ef66ae9fe0126f1c34e7074c8e0129bb2e9023a2ee5781f48806721d4ba5701ab4e73871303a3768afa59ac2261b079dbbd22a7e525
Homepage: https://cran.r-project.org/package=secrlinear
Description: CRAN Package 'secrlinear' (Spatially Explicit Capture-Recapture for Linear Habitats)
 Tools for spatially explicit capture-recapture analysis of animal
 populations in linear habitats, extending package 'secr'.

Package: r-cran-sectorgap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kfas, r-cran-zoo, r-cran-ggplot2, r-cran-mcmcpack, r-cran-dplyr, r-cran-tidyr, r-cran-tempdisagg
Filename: pool/dists/focal/main/r-cran-sectorgap_0.1.0-1.ca2004.1_all.deb
Size: 314744
MD5sum: 55eae3d1cbf465fad7dfa9ea9c7cb28d
SHA1: ee0d7272972a633b0de05f88839fc060d61677fa
SHA256: 57b2d18de0e285cd3371fa1f464c3deb5ece476b4a05926c76e4f24c8eb3045a
SHA512: 61cf0b9164201e2dd5ed66754719eaa73e626479a56778a3ad91c24cda0e3655ebb65c32074fe882ed69d2e910d5ae14f4e7615ea2e39652ecaf82be09a45e88
Homepage: https://cran.r-project.org/package=sectorgap
Description: CRAN Package 'sectorgap' (Consistent Economic Trend Cycle Decomposition)
 Determining potential output and the output gap - two inherently
 unobservable variables - is a major challenge for macroeconomists.
 'sectorgap' features a flexible modeling and estimation framework for a
 multivariate Bayesian state space model identifying economic output
 fluctuations consistent with subsectors of the economy. The proposed model
 is able to capture various correlations between output and a set of
 aggregate as well as subsector indicators. Estimation of the latent states
 and parameters is achieved using a simple Gibbs sampling procedure and
 various plotting options facilitate the assessment of the results. For
 details on the methodology and an illustrative example, see Streicher (2024)
 <https://www.research-collection.ethz.ch/handle/20.500.11850/653682>.

Package: r-cran-secutrialr
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2333
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haven, r-cran-readr, r-cran-readxl, r-cran-stringr, r-cran-tibble, r-cran-magrittr, r-cran-purrr, r-cran-tidyr, r-cran-dplyr, r-cran-rlang, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-tufte, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-secutrialr_1.3.3-1.ca2004.1_all.deb
Size: 1316488
MD5sum: 0aa58842e8af9bbb20ec550d10fe0ff2
SHA1: 64016b15a5ab10a9e4ea38cdb956a0218ca098e2
SHA256: 9c5a98db6044096c1999417432e7d51079ff243b87d2fc4351eb88653e28ce89
SHA512: 0882c1820c502b4ab24a273d945d8bf6fbc90b6e20df84e06bd3d6c0da774c4c1b985400ae4cbf63667f3d016e80b4e2796f611525ba04ebdd98d9e3fc8246da
Homepage: https://cran.r-project.org/package=secuTrialR
Description: CRAN Package 'secuTrialR' (Handling of Data from the Clinical Data Management System'secuTrial')
 Seamless and standardized interaction with data exported from the clinical
 data management system (CDMS) 'secuTrial'<https://www.secutrial.com>.  The
 primary data export the package works with is a standard non-rectangular
 export.

Package: r-cran-sedproxy
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3048
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sedproxy_0.7.6-1.ca2004.1_all.deb
Size: 2411436
MD5sum: 07f992bcca77f1bebd2e3a1c03424b7a
SHA1: 144ade9b8adff24cede852773add47ce754355c4
SHA256: 3b17b01e3b73087ee32f147a934f26610186e814734b9069aeeb30c4a1e79337
SHA512: 9e288f4cdc3eab473e38613e71b4d4e965c679949d2969f9500756f36e93e55c613d6da7a37e827634fe6197db6298bdd6d8e3402b5687d491d78ac60ab8965b
Homepage: https://cran.r-project.org/package=sedproxy
Description: CRAN Package 'sedproxy' (Simulation of Sediment Archived Climate Proxy Records)
 Proxy forward modelling for sediment archived climate proxies such as Mg/Ca,
 d18O or Alkenones. The user provides a hypothesised "true" past climate,
 such as output from a climate model, and details of the sedimentation rate
 and sampling scheme of a sediment core. Sedproxy returns simulated proxy
 records.  Implements the methods described in Dolman and Laepple (2018)
 <doi:10.5194/cp-14-1851-2018>.

Package: r-cran-see
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 768
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-correlation, r-cran-datawizard, r-cran-effectsize, r-cran-ggplot2, r-cran-insight, r-cran-modelbased, r-cran-patchwork, r-cran-parameters, r-cran-performance
Suggests: r-cran-bh, r-cran-brms, r-cran-collapse, r-cran-curl, r-cran-dharma, r-cran-emmeans, r-cran-factoextra, r-cran-formula, r-cran-ggdag, r-cran-ggdist, r-cran-ggraph, r-cran-ggrepel, r-cran-ggridges, r-cran-ggside, r-cran-glmmtmb, r-cran-httr2, r-cran-lavaan, r-cran-lme4, r-cran-logspline, r-cran-marginaleffects, r-cran-mass, r-cran-mclogit, r-cran-mclust, r-cran-merderiv, r-cran-mgcv, r-cran-metafor, r-cran-nbclust, r-cran-nfactors, r-cran-psych, r-cran-qqplotr, r-cran-randomforest, r-cran-rcppeigen, r-cran-rlang, r-cran-rmarkdown, r-cran-rstanarm, r-cran-scales, r-cran-testthat, r-cran-tidygraph, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-see_0.11.0-1.ca2004.1_all.deb
Size: 649568
MD5sum: 4e6ca229ff518b9e61361df4d69f9528
SHA1: 98589eac3c39ebb890d1e2a7ee3ad0ba26d88c25
SHA256: 46e17f978be47988a7b596dd6e73331d0408c894e13adfb4c8fa15f3744e6202
SHA512: afbb2ebc8132703321fb201256a28fd5cc4c8013a9631187dfcfb3995177dce17c0f00d016c86904dd26e114df51ae83943aec2e2ce28cb3cbe387bdf682f8eb
Homepage: https://cran.r-project.org/package=see
Description: CRAN Package 'see' (Model Visualisation Toolbox for 'easystats' and 'ggplot2')
 Provides plotting utilities supporting packages in the 'easystats' ecosystem
 (<https://github.com/easystats/easystats>) and some extra themes, geoms, and
 scales for 'ggplot2'. Color scales are based on <https://materialui.co/>.
 References: Lüdecke et al. (2021) <doi:10.21105/joss.03393>.

Package: r-cran-seeclickfixr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-seeclickfixr_1.1.0-1.ca2004.1_all.deb
Size: 49876
MD5sum: c7ccdf147dedf99aa72a69a45c983e02
SHA1: 658cd9ca1371ee560b1761f9a293bbf8d89d591f
SHA256: d7abe9b881ee58144323599355eca4bfcd13f1e3004e6ca5ff71bb3dda09886c
SHA512: d9157941319cde27655b49bf574575cd4c3509d749838c3fb0df2606f1d1bbfb630ea6511f5060756573fc077840f20d288f6bd2f798fb6fd773c8ff57528078
Homepage: https://cran.r-project.org/package=seeclickfixr
Description: CRAN Package 'seeclickfixr' (Access Data from the SeeClickFix Web API)
 Provides a wrapper to access data from the SeeClickFix web API for R.
 SeeClickFix is a central platform employed by many cities that allows
 citizens to request their city's services. This package creates several
 functions to work with all the built-in calls to the SeeClickFix API. Allows
 users to download service request data from numerous locations in
 easy-to-use dataframe format manipulable in standard R functions.

Package: r-cran-seecolor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1677
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-crayon, r-cran-purrr, r-cran-stringr, r-cran-rstudioapi, r-cran-magrittr, r-cran-ggplot2, r-cran-fansi
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seecolor_0.2.0-1.ca2004.1_all.deb
Size: 1134316
MD5sum: aa346ee18c6c7d9215fa54eb0ca1f691
SHA1: 88f4a0901b5cc70e084afdab241e0c35b6edd777
SHA256: 29f9555989ce2588b92ca480594cd02dc7f246acdaa7b1efe1d7787e44049017
SHA512: 9d6ba4733e9ccfb485065e533853030fe51dc1fafa21d9cd84fe03ec18381b5c43816362789c30cc96d2cd97746d5e1d27325cbb9364cbd3c71c64d65988f971
Homepage: https://cran.r-project.org/package=seecolor
Description: CRAN Package 'seecolor' (View Colors Used in R Objects in the Console)
 Output colors used in literal vectors, palettes and plot objects (ggplot).

Package: r-cran-seedcalc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seedcalc_1.0.0-1.ca2004.1_all.deb
Size: 71712
MD5sum: 6d29f32f4abc3f890d7192e9ffe65acc
SHA1: 86b8a5bf8d0615e5c688439e0472fd963a46caf5
SHA256: 9444c06b494195eb49e9ecdeeb0e5174069acddc82ce48bb37f79f2d203505d9
SHA512: 61dfe0bd1d173f1d9bbe49d9b88121fa141602034290892ecb0af641c4909dd675ef095b4141fbcbe6def19a73e11e99fed7ac31cc670a7dcb811cc791297fc7
Homepage: https://cran.r-project.org/package=SeedCalc
Description: CRAN Package 'SeedCalc' (Seed Germination and Seedling Growth Indexes)
 Functions to calculate seed germination and seedling emergence and growth
 indexes. The main indexes for germination and seedling emergence,
 considering the time for seed germinate are: T10, T50 and T90, in Farooq et
 al. (2005) <10.1111/j.1744-7909.2005.00031.x>; and MGT, in Labouriau (1983).
 Considering the germination speed are: Germination Speed Index, in Maguire
 (1962), Mean Germination Rate, in Labouriau (1983); considering the
 homogeneity of germination are: Coefficient of Variation of the Germination
 Time, in Carvalho et al. (2005) <10.1590/S0100-84042005000300018>, and
 Variance of Germination, in Labouriau (1983); Uncertainty, in Labouriau and
 Valadares (1976) <ISSN:0001-3765>; and Synchrony, in Primack (1980). The
 main seedling indexes are Growth, in Sako (2001), Uniformity, in Sako (2001)
 and Castan et al. (2018) <doi:10.1590/1678-992x-2016-0401>; and Vigour, in
 Medeiros and Pereira (2018) <doi:10.1590/1983-40632018v4852340>.

Package: r-cran-seedcca
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cca, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-seedcca_3.1-1.ca2004.1_all.deb
Size: 355036
MD5sum: bcedba0882bfc11296665005d5436abe
SHA1: c14918a8f654db8a30589b3b49bb84d72ce71338
SHA256: 2289faf340aa3d589f49aa08e99d832aca44b2015bf95867b7d8939e155e365a
SHA512: 33ca2007f1ebb6bb24945ff3163c48ca47828e266ca60f45c546a7b0ad06e35def558ebde0f041e47034abc4ecf994ce3f74528ce823f1ad9e062f04fc169b56
Homepage: https://cran.r-project.org/package=seedCCA
Description: CRAN Package 'seedCCA' (Seeded Canonical Correlation Analysis)
 Functions for dimension reduction through the seeded canonical correlation
 analysis are provided. A classical canonical correlation analysis (CCA) is
 one of useful statistical methods in multivariate data analysis, but it is
 limited in use due to the matrix inversion for large p small n data. To
 overcome this, a seeded CCA has been proposed in Im, Gang and Yoo (2015)
 \doi{10.1002/cem.2691}. The seeded CCA is a two-step procedure. The sets of
 variables are initially reduced by successively projecting cov(X,Y) or
 cov(Y,X) onto cov(X) and cov(Y), respectively, without loss of information
 on canonical correlation analysis, following Cook, Li and Chiaromonte (2007)
 \doi{10.1093/biomet/asm038} and Lee and Yoo (2014) \doi{10.1111/anzs.12057}.
 Then, the canonical correlation is finalized with the initially-reduced two
 sets of variables.

Package: r-cran-seedimbibition
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seedimbibition_0.1.0-1.ca2004.1_all.deb
Size: 9828
MD5sum: 00ca1ed488cb2389ad2f331e111235c9
SHA1: 899ad725dab671876282a984a3cc2f44ce4d6db6
SHA256: 66162ce9f8dd122ef050a31739d797c04719ed3a0b12a513a16f73e235da4a72
SHA512: 2c128076fc6bb14151bfb0ebacf58d76d840469955ebaa3e42b5922380b925e50b9ac26c5a77df18c09d5559b8c6d9feb685b1e22da3125eb92d7971dc781e62
Homepage: https://cran.r-project.org/package=SeedImbibition
Description: CRAN Package 'SeedImbibition' (Seed Imbibition Percentage)
 Imbibition causes seeds to expand, which results in the seed coat or testa
 being broken. Seed germination begins with imbibition. Imbibition aids in
 the transport of water into the developing ovules. Imbibition is required
 during the first stages of root water absorption.

Package: r-cran-seedmaker
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-seedmaker_1.0.0-1.ca2004.1_all.deb
Size: 43448
MD5sum: badb2a0aea1f80acc4e60e482571376d
SHA1: f2e3089dbde9903119a546949c07ebe0ea36f4b5
SHA256: cde9ee5d13cee0803f819147708e093a203f177b15f3275ba38ad6e86cc9ef75
SHA512: 8de8aa9eb3a7351b15c4a5d6777f3acc2df93e94b93766e262e58ddb886a25d5891f82f6aa5c7c3d5df21422c506e9f77867bf1da8b933fae9490cecdf6b8ef0
Homepage: https://cran.r-project.org/package=SeedMaker
Description: CRAN Package 'SeedMaker' (Generate a Collection of Seeds from a Single Seed)
 A mechanism for easily generating and organizing a collection of seeds from
 a single seed, which may be subsequently used to ensure reproducibility in
 processes/pipelines that utilize multiple random components (e.g., trial
 simulation).

Package: r-cran-seedmatchr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1151
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-bioc-biostrings, r-bioc-ggmsa, r-bioc-msa, r-cran-ggplot2, r-bioc-annotationhub, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-cran-cowplot, r-cran-testit, r-cran-lifecycle, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-org.rn.eg.db
Filename: pool/dists/focal/main/r-cran-seedmatchr_1.1.1-1.ca2004.1_all.deb
Size: 575604
MD5sum: bf32593536aea6d44bbc56c9275f11f6
SHA1: a367822dda231bf6341d5ecc6e110c3cef9d8f7d
SHA256: 520ff172705829840086bdc9a606bb52fb25d8fe7f9d7f0fbcbb1719d66da6ee
SHA512: fc2fd72eb9e3d3cb371788541856e548d92642516b588b17f10de923993c11397de630451676683919941158f8773b1d7bc0d35819444ca53b7c067b5368fe54
Homepage: https://cran.r-project.org/package=SeedMatchR
Description: CRAN Package 'SeedMatchR' (Find Matches to Canonical SiRNA Seeds in Genomic Features)
 On-target gene knockdown using siRNA ideally results from binding fully
 complementary regions in mRNA transcripts to induce cleavage.  Off-target
 siRNA gene knockdown can occur through several modes, one being a
 seed-mediated mechanism mimicking miRNA gene regulation. Seed-mediated
 off-target effects occur when the ~8 nucleotides at the 5’ end of the guide
 strand, called a seed region, bind the 3’ untranslated regions of mRNA,
 causing reduced translation. Experiments using siRNA knockdown paired with
 RNA-seq can be used to detect siRNA sequences with potential off-target
 effects driven by the seed region. 'SeedMatchR' provides tools for exploring
 and detecting potential seed-mediated off-target effects of siRNA in RNA-seq
 experiments. 'SeedMatchR' is designed to extend current differential
 expression analysis tools, such as 'DESeq2', by annotating results with
 predicted seed matches. Using publicly available data, we demonstrate the
 ability of 'SeedMatchR' to detect cumulative changes in differential gene
 expression attributed to siRNA seed regions.

Package: r-cran-seedr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-binom
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seedr_0.3.0-1.ca2004.1_all.deb
Size: 142680
MD5sum: 10ec21ffe1547b4460600366f5aca153
SHA1: 5a98a96ccb7c79bfaa79f51913c2212ace8e08dc
SHA256: 018b668fed750c98c53ed8466f1594fdaa25ced07ac31e7de25135c20b43e154
SHA512: 03d8b8deabe515bbd9d9d172398541567c7099e4dad598ef11509c47ab184991e84bd4845901b74b0125314b98c797b98e8c8b26ec9f9cec84a121073a6c61d1
Homepage: https://cran.r-project.org/package=seedr
Description: CRAN Package 'seedr' (Hydro and Thermal Time Seed Germination Models in R)
 Analysis of seed germination data using the physiological time modelling
 approach. Includes functions to fit hydrotime and thermal-time models with
 the traditional approaches of Bradford (1990) <doi:10.1104/pp.94.2.840> and
 Garcia-Huidobro (1982) <doi:10.1093/jxb/33.2.288>.  Allows to fit models to
 grouped datasets, i.e. datasets containing multiple species, seedlots or
 experiments.

Package: r-cran-seedreg
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-drc, r-cran-ggplot2, r-cran-car, r-cran-crayon, r-cran-emmeans, r-cran-multcomp, r-cran-hnp, r-cran-boot, r-cran-multcompview, r-cran-stringr, r-cran-sf, r-cran-gridextra, r-cran-dplyr
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-seedreg_1.0.3-1.ca2004.1_all.deb
Size: 286908
MD5sum: 9312a7271f8e1e2c5f674f7a19b87ef0
SHA1: e3f46011190bc6d4559b8b791ca0348df1d31f51
SHA256: 06b6361b49e4c5d0b5536527310b8384f75d7ef8b29620646400997de0820720
SHA512: e62910e3eefd9bc411828153b6279d68bdae6274677c98a9af9ce8edd5cd25d24d6a88078279eb56737b599c973a48213904c573d7fafa5b0134a7e9111b1e9a
Homepage: https://cran.r-project.org/package=seedreg
Description: CRAN Package 'seedreg' (Regression Analysis for Seed Germination as a Function ofTemperature)
 Regression analysis using common models in seed temperature studies, such as
 the Gaussian model (Martins, JF, Barroso, AAM, & Alves, PLCA (2017)
 <doi:10.1590/s0100-83582017350100039>), quadratic (Nunes, AL, Sossmeier, S,
 Gotz, AP, & Bispo, NB (2018) <doi: 10.17265/2161-6264/2018.06.002>) and
 others with potential for use, such as those implemented in the 'drc'
 package (Ritz, C, Baty, F, Streibig, JC, & Gerhard, D (2015).
 <doi:10.1371/journal.pone.0146021>), in the estimation of the ideal and
 cardinal temperature for the occurrence of plant seed germination. The
 functions return graphs with the equations automatically.

Package: r-cran-seeds
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve, r-cran-pracma, r-cran-deriv, r-cran-ryacas, r-cran-mvtnorm, r-cran-matrixstats, r-cran-statmod, r-cran-coda, r-cran-mass, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-hmisc, r-cran-r.utils, r-cran-callr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-rsbml
Filename: pool/dists/focal/main/r-cran-seeds_0.9.1-1.ca2004.1_all.deb
Size: 429044
MD5sum: 778d5e8c7aa87b3a78a493b8a2dd848b
SHA1: c5529ec19efd9a1364f95a4f95918809c7f7eba9
SHA256: f0ace46aca3695eec2d8e52284d0ddbc79da97c6222e3a228561b33e86876aad
SHA512: c60f6ad62345bcd873711e14308a1cec4ebd4b12822926df9a45c3feea500d34137f691096878f5f31c5dcf495a8e053b549904b7916ef2780f6222a28b645c8
Homepage: https://cran.r-project.org/package=seeds
Description: CRAN Package 'seeds' (Estimate Hidden Inputs using the Dynamic Elastic Net)
 Algorithms to calculate the hidden inputs of systems of differential
 equations.  These hidden inputs can be interpreted as a control that tries
 to minimize the discrepancies between a given model and taken measurements.
 The idea is also called the Dynamic Elastic Net, as proposed in the paper
 "Learning (from) the errors of a systems biology model" (Engelhardt,
 Froelich, Kschischo 2016) <doi:10.1038/srep20772>.  To use the experimental
 SBML import function, the 'rsbml' package is required. For installation I
 refer to the official 'rsbml' page:
 <https://bioconductor.org/packages/release/bioc/html/rsbml.html>.

Package: r-cran-seedvigorindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 40
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seedvigorindex_0.1.0-1.ca2004.1_all.deb
Size: 9868
MD5sum: 1ea42be83980fa8286d6d7aa9fbb8c31
SHA1: be096102ae942a20e6406a8dfd95d839858c2897
SHA256: 9038f2fd2d1c2bb0d05083171dc6b4ce7bb1aeae468d1c4a6c750dbb6bbc86c5
SHA512: cf843e3e5721cad48335d57ab11584b6cddf50f5d52917af8eb3022ee3a8a036eb5d99063a6f750dd35aa571af38a443e6bdc2018a13a2ebd1f8d88175612336
Homepage: https://cran.r-project.org/package=SeedVigorIndex
Description: CRAN Package 'SeedVigorIndex' (Seed Vigor Index)
 Seed vigor is defined as the sum total of those properties of the seed which
 determine the level of activity and performance of the seed or seed lot
 during germination and seedling emergence.  Testing for vigor becomes more
 important for carryover seeds, especially if seeds were stored under unknown
 conditions or under unfavorable storage conditions. Seed vigor testing is
 also used as indicator of the storage potential of a seed lot and in ranking
 various seed lots with different qualities. The vigour index is calculated
 using the equation given by (Ling et al. 2014) <doi:10.1038/srep05859>.

Package: r-cran-seeker
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-affy, r-bioc-annotationdbi, r-cran-biocmanager, r-bioc-biomart, r-cran-checkmate, r-cran-curl, r-cran-data.table, r-cran-foreach, r-bioc-geoquery, r-cran-glue, r-cran-jsonlite, r-cran-qs, r-cran-r.utils, r-cran-rcurl, r-cran-readr, r-cran-sessioninfo, r-bioc-tximport, r-cran-withr, r-cran-yaml
Suggests: r-bioc-arrayexpress, r-bioc-biobase, r-cran-doparallel, r-cran-knitr, r-bioc-org.mm.eg.db, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-seeker_1.1.6-1.ca2004.1_all.deb
Size: 161168
MD5sum: 46ddb194e67ee6c247c8e186a0eb7787
SHA1: 93651c237fcb8330b85877f3092f2d3285950f0a
SHA256: 3f51281579f2260822e073ec8793abe40d86f80fd0bb27f2471b156451f6dd15
SHA512: 5ea1724beeab72720f4eed21880c76f463a5bc4ebc3f2e4f947975a0dcc1279089c301c07f04b7f8671bb6c81855be25fc7b5088ba3199cf2f4ea3237d4a31f9
Homepage: https://cran.r-project.org/package=seeker
Description: CRAN Package 'seeker' (Simplified Fetching and Processing of Microarray and RNA-SeqData)
 Wrapper around various existing tools and command-line interfaces, providing
 a standard interface, simple parallelization, and detailed logging.  For
 microarray data, maps probe sets to standard gene IDs, building on
 'GEOquery' Davis and Meltzer (2007) <doi:10.1093/bioinformatics/btm254>,
 'ArrayExpress' Kauffmann et al. (2009) <doi:10.1093/bioinformatics/btp354>,
 Robust multi-array average 'RMA' Irizarry et al. (2003)
 <doi:10.1093/biostatistics/4.2.249>, and 'BrainArray' Dai et al. (2005)
 <doi:10.1093/nar/gni179>.  For RNA-seq data, fetches metadata and raw reads
 from National Center for Biotechnology Information (NCBI) Sequence Read
 Archive (SRA), performs standard adapter and quality trimming using
 'TrimGalore' Krueger <https://github.com/FelixKrueger/TrimGalore>, performs
 quality control checks using 'FastQC' Andrews
 <https://github.com/s-andrews/FastQC>, quantifies transcript abundances
 using 'salmon' Patro et al. (2017) <doi:10.1038/nmeth.4197> and potentially
 'refgenie' Stolarczyk et al. (2020) <doi:10.1093/gigascience/giz149>,
 aggregates the results using 'MultiQC' Ewels et al. (2016)
 <doi:10.1093/bioinformatics/btw354>, maps transcripts to genes using
 'biomaRt' Durinkck et al. (2009) <doi:10.1038/nprot.2009.97>, and summarizes
 transcript-level quantifications for gene-level analyses using 'tximport'
 Soneson et al. (2015) <doi:10.12688/f1000research.7563.2>.

Package: r-cran-seekr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-fs, r-cran-lifecycle, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-seekr_0.1.3-1.ca2004.1_all.deb
Size: 95116
MD5sum: 6c20b754981441a0aa0bf1b483bd46e2
SHA1: 4d2a8363e5c4e861cb41c78f1e3deba6ca0776f7
SHA256: f56038f0d06f9824e106de081e17adff55c31943d4a25ad843ced37079a12f92
SHA512: ed627db1ff16c41949a71f8da69992fc093f61862ac578663ef51da657b26fd2dc41daeb557dd926712a845b49f4889020cfb2fd2e35604cbc73d00ca9933686
Homepage: https://cran.r-project.org/package=seekr
Description: CRAN Package 'seekr' (Extract Matching Lines from Matching Files)
 Provides a simple interface to recursively list files from a directory,
 filter them using a regular expression, read their contents, and extract
 lines that match a user-defined pattern. The package returns a dataframe
 containing the matched lines, their line numbers, file paths, and the
 corresponding matched substrings.  Designed for quick code base exploration,
 log inspection, or any use case involving pattern-based file and line
 filtering.

Package: r-cran-seer
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-urca, r-cran-forecast, r-cran-dplyr, r-cran-magrittr, r-cran-randomforest, r-cran-forectheta, r-cran-stringr, r-cran-tibble, r-cran-purrr, r-cran-future, r-cran-furrr, r-cran-tsfeatures
Suggests: r-cran-testthat, r-cran-covr, r-cran-repmis, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-mcomp, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-seer_1.1.8-1.ca2004.1_all.deb
Size: 130940
MD5sum: 9408120fa670d180faf8d1c9155e4bb3
SHA1: 9c669cf6ebafb869cfff41b47e9fe1d3b0b708b7
SHA256: 7ce219b1845c2fc013643e9c44c49592753bdf85e8c3e3e67b01ebcc88c4d015
SHA512: eee57d58265fd3831826abd82cba301c7a182b3e3381f25075bb7e055538642ec9150e6a55f03d4b596ee20af7104229d40c9ed1dda93e001808cf096fa64246
Homepage: https://cran.r-project.org/package=seer
Description: CRAN Package 'seer' (Feature-Based Forecast Model Selection)
 A novel meta-learning framework for forecast model selection using time
 series features. Many applications require a large number of time series to
 be forecast. Providing better forecasts for these time series is important
 in decision and policy making. We propose a classification framework which
 selects forecast models based on features calculated from the time series.
 We call this framework FFORMS (Feature-based FORecast Model Selection).
 FFORMS builds a mapping that relates the features of time series to the best
 forecast model using a random forest. 'seer' package is the implementation
 of the FFORMS algorithm. For more details see our paper at
 <https://www.monash.edu/business/econometrics-and-business-statistics/research/publications/ebs/wp06-2018.pdf>.

Package: r-cran-seermapper2010east
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3482
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermapper2010east_1.2.5-1.ca2004.1_all.deb
Size: 3534280
MD5sum: 5ca947ec39fb301a2ea6806d5ae32349
SHA1: fe32d46f6f43bf08e2c1dfc6466a333a0946b089
SHA256: f7e8e4a39f8a8eab59c888e1ed9a94d830625858ada2098a520c16ca3b29c1fc
SHA512: c657849da156fb18db26dd59225fb76b477c42eba4862de2b37b234b477f935cb516e0515282f4f870c25db73f920e13ae8b7d01d319c1c5448be80622d33fae
Homepage: https://cran.r-project.org/package=SeerMapper2010East
Description: CRAN Package 'SeerMapper2010East' (Supplemental U.S. 2010 Census Tract Boundaries for 20 EasternStates (including DC and PR) without Registries for'SeerMapper')
 Provides supplemental 2010 census tract boundary package for 20 states
 without Seer Registries that are east of the Mississippi river for use with
 the 'SeerMapper' package.  The data contained in this package is derived
 from U.S. Census data and is in public domain.

Package: r-cran-seermapper2010regs
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3938
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermapper2010regs_1.2.5-1.ca2004.1_all.deb
Size: 4002428
MD5sum: 2c15bfb7ced7e97df448b678a0badb0a
SHA1: d410cbf9da0b9880af9b49b2d56bf6f53abc5890
SHA256: 296dd9b240113906e47703ebdd51475fe3fcd06dff2b5b14398665c8bfefc86c
SHA512: be016e9aa752724800e720d1579090a15f567fea3975b60bc950bb1f1211b192a64c77cfa32f8689a3077fb57e59f24c98ba1d1dbe76fcb1c19d99a4875dff67
Homepage: https://cran.r-project.org/package=SeerMapper2010Regs
Description: CRAN Package 'SeerMapper2010Regs' (Supplemental U.S. 2010 Census Tract Boundaries for 19 Stateswith Seer Registries for 'SeerMapper')
 Provides supplemental 2010 census tract boundaries of the 19 states
 containing Seer Registries for use with the 'SeerMapper' package.  The data
 contained in this package is derived from U.S. 2010 Census data and is in
 public domain.

Package: r-cran-seermapper2010west
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1927
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermapper2010west_1.2.5-1.ca2004.1_all.deb
Size: 1944012
MD5sum: eb04ac7b993cee84e8ebbc31f475f4f8
SHA1: d9baafa378d15ebf4df8158f642265eec13802bd
SHA256: c381f97028a24a5411f3b4dce7f749e0a9c9642d1f151661292e988b6549f65b
SHA512: 685d57320199e74b3744bb355a32a5374657242691a48b8b41316d0c2de95147e7dd88ccd25fef8a53a278be7c5dc48b86f322b41e5564f4a6f47a971d620b18
Homepage: https://cran.r-project.org/package=SeerMapper2010West
Description: CRAN Package 'SeerMapper2010West' (Supplemental U.S. 2010 Census Tract Boundaries for 13 WesternStates without Seer Registries for 'SeerMapper')
 Provides supplemental 2010 census tract boundaries for the 13 states without
 Seer Registries that are west of the Mississippi river for use with the
 'SeerMapper' package.  The data contained in this package is derived from
 U.S. 2010 Census data and is in public domain.

Package: r-cran-seermapper
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4363
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-rcolorbrewer, r-cran-rgdal, r-cran-sp, r-cran-stringr, r-cran-seermapperregs, r-cran-seermappereast, r-cran-seermapperwest, r-cran-seermapper2010regs, r-cran-seermapper2010east, r-cran-seermapper2010west
Filename: pool/dists/focal/main/r-cran-seermapper_1.2.5-1.ca2004.1_all.deb
Size: 4368160
MD5sum: d3a28c251cf5a7dc74979c6620183eab
SHA1: 45ab113e5227d44beb95d102f72823bd1d06a359
SHA256: 7937330eadfaa871dd3794b2c4c4c1078c4ce64b038af1c1385ba48f700f1777
SHA512: 8ec8ccb7c100871c496aa34dbd335a44500fc4a34159b993cb89da13519e5126c4847be5f02bb27a6d62b5ec9efbd5af1057050c264e4253ba00e4a9b8dd6a3e
Homepage: https://cran.r-project.org/package=SeerMapper
Description: CRAN Package 'SeerMapper' (A Quick Way to Map U.S. Rates and Data of U.S. States, Counties,Census Tracts, or Seer Registries using 2000 and 2010 U.S.Census Boundaries)
 Provides an easy way to map seer registry area rate data on a U.S. map.  The
 U.S. data may be mapped at the state or state/county.  U.S. Seer registry
 data may be mapped at the Seer registry area, Seer Registry area/county or
 Seer Registry area/county/census tract level. The function uses a calculated
 default categorization breakpoint list for 5 categories, when not breakpoint
 list is provided or the number of categories is specified by the user. A
 user provided break point list is limited to containing 5 values.  The
 number of calculated categories may be from 3 to 11. The user provide the
 p-value for each area and request hatching over any areas with a p-value >
 0.05.  Other types of comparisons can be specified.  If states or
 state/counties are used, the area identifier is the U.S. FIPS codes for
 states and counties, 2 digits and 5 digits respectfully.  If the data is for
 U.S. Seer Registry areas, the Seer Registry area identifier used to link the
 data to the geographical area is a Seer Registry area abbreviation.  See
 documentation for the list of acceptable Seer Registry area names and
 abbreviations. The state boundaries are overlaid all rate maps. The package
 contains the boundary data for state, county, Seer Registry areas, and
 census tracts for counties within a Seer registry area.  The package support
 boundary data from the 2000 and 2010 U.S. Census.  The SeerMapper package
 version contains the U.S. Census 2000 and 2010 boundary data for the
 regional, state, Seer Registry, and county levels.  Six supplement packages
 contain the census tract boundary data.  Copyrighted 2014, 2015, 2016, 2017,
 2018 and 2019 by Pearson and Pickle.

Package: r-cran-seermappereast
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermappereast_1.2.5-1.ca2004.1_all.deb
Size: 3269372
MD5sum: 4704810b87c54b45b96e32990e1a56f3
SHA1: 0884e3b7eb9eb3554b03362acb869fe9021a448c
SHA256: 33bf212087e9b05a19c70464fbe5dd21034d87013a47e41e01008f8030900b4e
SHA512: ebe32b488825b60a70967f002f40486022c9f7c7c22611a2f98a6292c1f04938219e182d197dfc01c874c7355eef649730a1ff82f160e8182ea491c718a0ec1e
Homepage: https://cran.r-project.org/package=SeerMapperEast
Description: CRAN Package 'SeerMapperEast' (Supplemental U.S. 2000 Census Tract Boundaries for 20 States,District and Territory without Seer Registries that are East ofthe Mississippi River for Use with 'SeerMapper' Package)
 Provides supplemental 2000 census tract boundaries for the 20 states,
 district and territory without Seer Registries that are east of the
 Mississippi river for use with the 'SeerMapper' package.  The data contained
 in this package is derived from U.S. Census data and is in the public
 domain.

Package: r-cran-seermapperregs
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3768
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermapperregs_1.2.5-1.ca2004.1_all.deb
Size: 3828892
MD5sum: a21826b72f2e238cd6ee94ced40b5494
SHA1: 385a38ff7148819f0e7bf1b485f3feb6f8577d92
SHA256: 9f9018a0d10c66c37cc618170560af6f9c9a552a0e1cca068d9951c4ea65c8bb
SHA512: 9a289c6c013f4f6972c41cfcfe9e4f1bafe9d8ec8d9c06ee3443a6d93e317b0876cea23fd5a8be340826ab888c1fb4702a42a074abcb62e7724cac07c6dca363
Homepage: https://cran.r-project.org/package=SeerMapperRegs
Description: CRAN Package 'SeerMapperRegs' (Supplemental U.S. 2000 Census Tract Boundaries for 19 Stateswith Seer Registries for 'SeerMapper')
 Provides supplemental 2000 census tract boundaries for the 19 states
 containing Seer Registries for use with the 'SeerMapper' package.  The data
 contained in this package is derived from U.S. Census data and is in the
 public domain.

Package: r-cran-seermapperwest
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1879
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-seermapperwest_1.2.5-1.ca2004.1_all.deb
Size: 1894788
MD5sum: 8a00b03ef364dda24ddce51bf6c64c9d
SHA1: cbb038adbf4bcfe515b0b10b2bedece9278543ff
SHA256: 4269322d9d868a010b89d4f026edddebd06d6f1cbb06a3a020ce6f908760e3d6
SHA512: 56777a4901185dae0da0de64ed25cb1022b1cea5e8ea808eddf292d7d63acca0728df20b1810579fd36bc6d6100927130c7cc74fee145d66e7cd224be9310d2a
Homepage: https://cran.r-project.org/package=SeerMapperWest
Description: CRAN Package 'SeerMapperWest' (Supplemental U.S. 2000 Census Tract Boundaries for 13 WesternStates without Seer Registries for 'SeerMapper')
 Provides supplemental 2000 census tract boundaries for the 13 states without
 Seer Registries that are west of the Mississippi river for use with the
 'SeerMapper' package.  The data contained in this package is derived from
 U.S. 2000 Census data and is in the public domain.  Updated to Alber Equal
 Area projection.

Package: r-cran-seewave
Architecture: all
Version: 2.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3510
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tuner
Suggests: r-cran-audio, r-cran-circlize, r-cran-factominer, r-cran-fftw, r-cran-ggplot2, r-cran-rgl, r-cran-rpanel, r-cran-phontools, r-cran-signal
Filename: pool/dists/focal/main/r-cran-seewave_2.2.3-1.ca2004.1_all.deb
Size: 3148500
MD5sum: 52d0a696a64cc2b1cc9a799a252a0d6d
SHA1: ec89dc6982c03aceb3ae1f3119af944df8c8e2d6
SHA256: 05374b527833fcc23ff662a121c142c050abaaeeef6e784bd28fb3fccd360869
SHA512: 60c0ff75d8bbc233e360854390127670b8c0d30bb3c6f35ea03ef066a1bc578411146604d9ded4e1abce49d706522079a1eb205883739b258734d1b040b88b8a
Homepage: https://cran.r-project.org/package=seewave
Description: CRAN Package 'seewave' (Sound Analysis and Synthesis)
 Functions for analysing, manipulating, displaying, editing and synthesizing
 time waves (particularly sound).  This package processes time analysis
 (oscillograms and envelopes), spectral content, resonance quality factor,
 entropy, cross correlation and autocorrelation, zero-crossing, dominant
 frequency, analytic signal, frequency coherence, 2D and 3D spectrograms and
 many other analyses. See Sueur et al. (2008)
 <doi:10.1080/09524622.2008.9753600> and Sueur (2018)
 <doi:10.1007/978-3-319-77647-7>.

Package: r-cran-segcorr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jointseg
Filename: pool/dists/focal/main/r-cran-segcorr_1.2-1.ca2004.1_all.deb
Size: 287452
MD5sum: 4010e2cb2322c3d8cfbe10435fad4851
SHA1: 0f84216d0896393a84f64f81109394f1be93aee3
SHA256: 9e17ba4a0ddd60e091016e10e953415092dce042e3ebc6a82a5e82d681c581d7
SHA512: 6d8bf93983a0d2fe9e633f9198a1deb86689104732ecb92d30d746b403ae96fe800bde553f0339b1528e993874257e3750803836e54723faf646ba883ac98ead
Homepage: https://cran.r-project.org/package=SegCorr
Description: CRAN Package 'SegCorr' (Detecting Correlated Genomic Regions)
 Performs correlation matrix segmentation and applies a test procedure to
 detect highly correlated regions in gene expression.

Package: r-cran-segen
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-ggplot2, r-cran-readr, r-cran-lubridate, r-cran-imputets, r-cran-fancova, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-greybox, r-cran-philentropy, r-cran-entropy, r-cran-rfast, r-cran-narray, r-cran-fastdummies
Filename: pool/dists/focal/main/r-cran-segen_1.1.0-1.ca2004.1_all.deb
Size: 60508
MD5sum: c92e5ac7cf8a07f477b664b2a5540ceb
SHA1: 0d7b0c14c632c1eb95acb967e24733f1f37d4b5b
SHA256: 6a867b4c5c614d111eb13d266bbb0924cb163b3fc521e6667102a8f6466febff
SHA512: 9aa342f6c596bd0a7f41d750395ebb662697b997d5cd32c8b1cb449c3397e3f35a4b3ad6529c3a07ef24c581502e28770aeb4672b95be97585526ccc22fe5a3d
Homepage: https://cran.r-project.org/package=segen
Description: CRAN Package 'segen' (Sequence Generalization Through Similarity Network)
 Proposes an application for sequence prediction generalizing the similarity
 within the network of previous sequences.

Package: r-cran-segenvineq
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-spdep, r-cran-oasisr, r-cran-outliers
Filename: pool/dists/focal/main/r-cran-segenvineq_1.2-1.ca2004.1_all.deb
Size: 52636
MD5sum: 1ce459b869112961749ac749c5a7b10d
SHA1: 19ef9e55663971f40ec4541dfcb2fd7e70f83a85
SHA256: 1e1763ead61ad0175055441240333be1c5bdf3569b6695ddd29c74cf75d9f590
SHA512: bb7f36133e72f320ba070d2835960e3a3b2012249e9cccda6ead28f3e4e70cc079e3ad213d15d2672cfce3b87cb910bf5575b4c0b83c98f8665a76734da9f710
Homepage: https://cran.r-project.org/package=SegEnvIneq
Description: CRAN Package 'SegEnvIneq' (Environmental Inequality Indices Based on Segregation Measures)
 A set of segregation-based indices and randomization methods to make robust
 environmental inequality assessments, as described in Schaeffer and Tivadar
 (2019) "Measuring Environmental Inequalities: Insights from the Residential
 Segregation Literature" <doi:10.1016/j.ecolecon.2019.05.009>.

Package: r-cran-segmented
Architecture: all
Version: 2.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1427
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-segmented_2.1-4-1.ca2004.1_all.deb
Size: 1384204
MD5sum: cf1a81397607b74604f16066db109143
SHA1: d085efb583580748dbbb44d5a31dd6804abeae39
SHA256: 2f6e04451bc12da269500b910eac760a571afe7e3d001d8961471849d097c75c
SHA512: 0a188229b29031c80af98935e87f1770a9a8915f3daaefc69ba0fd8b66ec47381beee6f5b562f73ecc16177ca1722e4fa380edf5aca8772789c0de3386fe7cce
Homepage: https://cran.r-project.org/package=segmented
Description: CRAN Package 'segmented' (Regression Models with Break-Points / Change-Points Estimation(with Possibly Random Effects))
 Fitting regression models where, in addition to possible linear terms, one
 or more covariates have segmented (i.e., broken-line or piece-wise linear)
 or stepmented (i.e. piece-wise constant) effects. Multiple breakpoints for
 the same variable are allowed.  The estimation method is discussed in Muggeo
 (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo (2008,
 <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>). An approach for
 hypothesis testing is presented in Muggeo (2016,
 <doi:10.1080/00949655.2016.1149855>), and interval estimation for the
 breakpoint is discussed in Muggeo (2017, <doi:10.1111/anzs.12200>).
 Segmented mixed models, i.e. random effects in the change point, are
 discussed in Muggeo (2014, <doi:10.1177/1471082X13504721>).  Estimation of
 piecewise-constant relationships and changepoints (mean-shift models) is
 discussed in Fasola et al. (2018, <doi:10.1007/s00180-017-0740-4>).

Package: r-cran-segmetric
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1457
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-magrittr, r-cran-units
Suggests: r-cran-classint, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-segmetric_0.3.0-1.ca2004.1_all.deb
Size: 1435016
MD5sum: 90a9e64b450b085d93f1b35d82519504
SHA1: 8e4e7cb8d193e2131fb878a1fb4bd95eb8f89f90
SHA256: 0e363be2a8652ca2ad7eda62cec589a4784e8c4adffc39e8de9da9420e267ed7
SHA512: 139c2c2970dd8985d6330377ca02f0c1b4d158a8fc51d77edec3dcfc001ced7f2ad46233a39c70a59795383a52e3e074ea26dcb70ae6b5ccd965275d5e1389e1
Homepage: https://cran.r-project.org/package=segmetric
Description: CRAN Package 'segmetric' (Metrics for Assessing Segmentation Accuracy for Geospatial Data)
 A system that computes metrics to assess the segmentation accuracy of
 geospatial data. These metrics calculate the discrepancy between segmented
 and reference objects, and indicate the segmentation accuracy. For more
 details on choosing evaluation metrics, we suggest seeing Costa et al.
 (2018) <doi:10.1016/j.rse.2017.11.024> and Jozdani et al. (2020)
 <doi:10.1016/j.isprsjprs.2020.01.002>.

Package: r-cran-segrda
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-segrda_1.0.2-1.ca2004.1_all.deb
Size: 167332
MD5sum: 1a81c97fd53aef577c77a61394a3b29d
SHA1: 31a843d15907e141758e76b3fc633dd4313c3d31
SHA256: 93791dd0765fbdf3f61bf06a886adec58a591dffd469831f3bc31ef23a4c3274
SHA512: 450cdbe17df7131f922425a6c2abd16f82fa29502cbbf1b26fb81fcd38f5fed9fa43ab85e6245b0ea8a8311fc5e43985c9348f3ed0f00876bfb6931fea12f3bb
Homepage: https://cran.r-project.org/package=segRDA
Description: CRAN Package 'segRDA' (Modeling Non-Continuous Linear Responses of Ecological Data)
 Tools for modeling non-continuous linear responses of ecological communities
 to environmental data. The package is straightforward through three steps:
 (1) data ordering (function OrdData()), (2) split-moving-window analysis
 (function SMW()) and (3) piecewise redundancy analysis (function pwRDA()).
 Relevant references include Cornelius and Reynolds (1991)
 <doi:10.2307/1941559> and Legendre and Legendre (2012, ISBN: 9780444538697).

Package: r-cran-segregatr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-pedprobr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-segregatr_0.4.0-1.ca2004.1_all.deb
Size: 55720
MD5sum: 1a32918404d9f9b339e472f8c583ce89
SHA1: 124190e1486b5df3d70d44a05257d436da4c6738
SHA256: dde5bbf34226b966274a54111b4319005d896d524bb68645a62f42d40d352b1c
SHA512: d3139ddb0048d98fdac4d86b8cdc1be3d9a44a65792d55ab5610c8fb1ed9e28ea407c106685e36d111148f440940d11dca604d709daaefac58690d62e9a47f54
Homepage: https://cran.r-project.org/package=segregatr
Description: CRAN Package 'segregatr' (Segregation Analysis for Variant Interpretation)
 An implementation of the full-likelihood Bayes factor (FLB) for evaluating
 segregation evidence in clinical medical genetics. The method was introduced
 by Thompson et al. (2003) <doi:10.1086/378100>.  This implementation
 supports custom penetrance values and liability classes, and allows
 visualisations and robustness analysis as presented in Ratajska et al.
 (2023) <doi:10.1002/mgg3.2107>. See also the online app 'shinyseg',
 <https://chrcarrizosa.shinyapps.io/shinyseg>, which offers interactive
 segregation analysis with many additional features (Carrizosa et al. (2024)
 <doi:10.1093/bioinformatics/btae201>).

Package: r-cran-seguid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-digest
Filename: pool/dists/focal/main/r-cran-seguid_0.1.0-1.ca2004.1_all.deb
Size: 50832
MD5sum: b69245337b3d73d4e9be5a74daa530b3
SHA1: 5afe294698fc81765b73461a39ba7366c7c57a70
SHA256: a720faa83fd5dac1cf9a68678f818a467cd5a0b9a2028424bed8b8e80138e5e7
SHA512: 0c201ec038afe8d3231c03d55e04bb705692bc373e91b0b1a82342f846a82525df8cbac4285c2cb4429b6af7b1931d520b87e196620a631c1364f16871f7c98f
Homepage: https://cran.r-project.org/package=seguid
Description: CRAN Package 'seguid' (Sequence Globally Unique Identifier (SEGUID) Checksums)
 Implementation of the original Sequence Globally Unique Identifier (SEGUID)
 algorithm [Babnigg and Giometti (2006) <doi:10.1002/pmic.200600032>] and
 SEGUID v2 (<https://www.seguid.org>), which extends SEGUID v1 with support
 for linear, circular, single- and double-stranded biological sequences, e.g.
 DNA, RNA, and proteins.

Package: r-cran-sehrnett
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-magrittr, r-cran-tibble, r-cran-purrr, r-cran-dplyr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sehrnett_0.1.0-1.ca2004.1_all.deb
Size: 77136
MD5sum: 1b8ac2900791a218aa0b5cd982a01774
SHA1: 1596b944015f33760201084d6969308a9dcbb12c
SHA256: 8511aaf66957023779ae0f42418eb4cd8473d35dd9910348ff4fc77c3e17b3df
SHA512: 59e5677b779b94293f6490d468447d7bc4a3fa481e3a923451c6fc496becd15837b2d61c424bdec97f5dc03450b296209a7ec40e252086c234387ed197f28f5f
Homepage: https://cran.r-project.org/package=sehrnett
Description: CRAN Package 'sehrnett' (A Very Nice Interface to 'WordNet')
 A very nice interface to Princeton's 'WordNet' without 'rJava' dependency.
 'WordNet' data is not included. Princeton University makes 'WordNet'
 available to research and commercial users free of charge provided the terms
 of their license
 (<https://wordnet.princeton.edu/license-and-commercial-use>) are followed,
 and proper reference is made to the project using an appropriate citation
 (<https://wordnet.princeton.edu/citing-wordnet>).

Package: r-cran-sei
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3378
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-xts, r-cran-zoo, r-cran-fitdistrplus, r-cran-flexsurv, r-cran-gamlss, r-cran-gamlss.dist, r-cran-lmom
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-dplyr, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sei_0.2.0-1.ca2004.1_all.deb
Size: 2987620
MD5sum: bac4db4dfb4d4034537077c36a228ee9
SHA1: 332244ea7ce3c99a32644c1b7bd6816bc3b5ab41
SHA256: 153f47d13958a0559230a0ba99565568b576e4abe72130747acb67fc45f24505
SHA512: 3b98fa624617dd274cf42c8ea9389553896331b39095f64fa1d10410b6af70f7bafaddefce0144e6c940b254429bf595507565d2357193b3aaf457d48678b7b8
Homepage: https://cran.r-project.org/package=SEI
Description: CRAN Package 'SEI' (Calculating Standardised Indices)
 Convert a time series of observations to a time series of standardised
 indices that can be used to monitor variables on a common and
 probabilistically interpretable scale. The indices can be aggregated and
 rescaled to different time scales, visualised using plot capabilities, and
 calculated using a range of distributions. This includes flexible
 non-parametric and non-stationary methods.

Package: r-cran-seinfitr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-minpack.lm
Suggests: r-cran-testthat, r-cran-readxl, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seinfitr_1.0.1-1.ca2004.1_all.deb
Size: 82880
MD5sum: 557bafb705988effc2aecd428bdd7579
SHA1: b6ed19a48ccd10dbb913ae4cbcfe1eb5a44a4b51
SHA256: 099f5ddfae5e40486a69566bc4ca8f8b5e7289edcbbe7102a26c0ade3c2597d5
SHA512: f39f9ddcedbdaf4a2ecd69a3c5729f35dbdb5aa191526ffd76d854eeaa0da3bfadddae91aa797683dfaddcfcd8a7ed1271325b384e3166bcd3b0c59f0aaaaa8e
Homepage: https://cran.r-project.org/package=seinfitR
Description: CRAN Package 'seinfitR' (Modeling the Relationship Between Nematode Densities and PlantGrowth)
 Implements the Seinhorst model to analyze the relationship between initial
 nematode densities and plant growth response using nonlinear least squares
 estimation. The package provides tools for model fitting, prediction, and
 visualization, facilitating the study of plant-nematode interactions. Model
 parameters can be estimated or set to predefined values based on Seinhorst
 (1986) <doi:10.1007/978-1-4613-2251-1_11>.

Package: r-cran-seirfansy
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-arm, r-cran-pbapply, r-cran-desctools, r-cran-patchwork, r-cran-ggpubr, r-cran-ggplot2, r-cran-knitr, r-cran-rlang, r-cran-magrittr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-seirfansy_1.1.1-1.ca2004.1_all.deb
Size: 87848
MD5sum: 3ee8cbc6fb5741d5ba93f4c8f77f4be1
SHA1: 1dc59520c2f7b85a25bdc145431c096049adf2f0
SHA256: 6d84167ea71420b4dc7d55d7ce1eac826f10f3f1f02f020f26d44ce251b46d2e
SHA512: 0b780ead6e0b261b8bb0b3901fe4e4bc65f4245787137a05b896a642829f8be4f0f3f5458bc7114fcf5cf9fd211c5d8c7140c38134daa56bcf56142da0287fc0
Homepage: https://cran.r-project.org/package=SEIRfansy
Description: CRAN Package 'SEIRfansy' (Extended Susceptible-Exposed-Infected-Recovery Model)
 Extended Susceptible-Exposed-Infected-Recovery Model for handling high false
 negative rate and symptom based administration of diagnostic tests.
 <doi:10.1101/2020.09.24.20200238>.

Package: r-cran-seismic
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seismic_1.1-1.ca2004.1_all.deb
Size: 91924
MD5sum: 3f483054f3a376c04560a3ed6b478394
SHA1: 034e78e74c83314fc678c132222a37b4dd788e9a
SHA256: 80219808b27f672b31d3506a6d8b82cf8a7d2e605a04d1e93ba05d3066152dcd
SHA512: 161794c50683a875822d922df9bf84795b2e453ecffdba37a387249986a623e36a41b89429031485a980604ced835eb62b08f0e13abb23005740ada33fce353b
Homepage: https://cran.r-project.org/package=seismic
Description: CRAN Package 'seismic' (Predict Information Cascade by Self-Exciting Point Process)
 An implementation of self-exciting point process model for information
 cascades, which occurs when many people engage in the same acts after
 observing the actions of others (e.g. post resharings on Facebook or
 Twitter). It provides functions to estimate the infectiousness of an
 information cascade and predict its popularity given the observed history.
 See <http://snap.stanford.edu/seismic/> for more information and datasets.

Package: r-cran-sejmrp
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-tidyr, r-cran-cluster, r-cran-factoextra, r-cran-rpostgresql, r-cran-rvest, r-cran-stringi, r-cran-xml, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-sejmrp_1.3.4-1.ca2004.1_all.deb
Size: 132664
MD5sum: b2612a4d3020bb82d9628a56e32bda9c
SHA1: caa812df9ac98e005531b2e5dfc049d955cc78a4
SHA256: 47c8160351241c050a2a92828d6c497e7e4f299ee797482ae1e95953f5fb8366
SHA512: 85b8bbed8398efa6fedd1a434b60b52afc40e4865f9f0273b132fbb337975077651624e8405d43cc7f81f95889eae884ddae39e9336430f535de7ea5438ba44b
Homepage: https://cran.r-project.org/package=sejmRP
Description: CRAN Package 'sejmRP' (An Information About Deputies and Votings in Polish Diet fromSeventh to Eighth Term of Office)
 Set of functions that access information about deputies and votings in
 Polish diet from webpage <http://www.sejm.gov.pl>. The package was developed
 as a result of an internship in MI2 Group - <http://mi2.mini.pw.edu.pl>,
 Faculty of Mathematics and Information Science, Warsaw University of
 Technology.

Package: r-cran-sejong
Architecture: all
Version: 0.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1612
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sejong_0.01-1.ca2004.1_all.deb
Size: 1618712
MD5sum: 583018956005198a6b208f10d4b3b2dd
SHA1: 9ae0bfca7f94aca16213562be3fcc4dde1e0761b
SHA256: 6f1ab5d4bb4f6e79e5cddad2abca995f4e95a8a3ba73197607c73c5748bd7c10
SHA512: 7b18e6b6ad58549dbcd7f636db6de7634de3a143b085944c0135e85065f8dbf9c5c5bfd2b8cb8ad5d15ba871668fc3d750f102b074849ca02951c25b59c1b9c0
Homepage: https://cran.r-project.org/package=Sejong
Description: CRAN Package 'Sejong' (KoNLP static dictionaries and Sejong project resources)
 Sejong(http://www.sejong.or.kr/) corpus and
 Hannanum(http://semanticweb.kaist.ac.kr/home/index.php/HanNanum)
 dictionaries for KoNLP

Package: r-cran-selcorr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-selcorr_1.0-1.ca2004.1_all.deb
Size: 20168
MD5sum: 29e38daaec01f30b53b2dafb2095db97
SHA1: 52d067acab04800f302c2b6c70259f32b7e74f67
SHA256: 5c3ae08ba1b3e50a739947bb026d0b9809e1bf85010c3f33b03ea49166e9eb34
SHA512: a0abf9c5a437976f649fe18e42e5cec9cc106fd01145712d7a6acd9fdf381c9487bc9e09a5f36396b6125fb4e7ae9bae5a9411a5ec6f879f708aca6e8ad2ed43
Homepage: https://cran.r-project.org/package=selcorr
Description: CRAN Package 'selcorr' (Post-Selection Inference for Generalized Linear Models)
 Calculates (unconditional) post-selection confidence intervals and p-values
 for the coefficients of (generalized) linear models.

Package: r-cran-select
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp, r-cran-latticeextra, r-cran-lattice, r-cran-ade4, r-cran-fd
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-select_1.4-1.ca2004.1_all.deb
Size: 167680
MD5sum: 0f7c17be1050feb92d8581f2ee42ace6
SHA1: f303ea6d9505e33f8323fc445ebc27e939238b7f
SHA256: dc0cfa2142fd70cb5758bbbbfcef8f2a3caaffd072ef01cc740d9a2e6bffdb73
SHA512: 88c51dc405d871f845871ca5750ae21e0a17c9d9312c1bf8b919dddced9e506bfbde0c8c4a9dbcf4bba6853c2a2a6d77170fa5e5f1b5072adfafd5d76fde5cdd
Homepage: https://cran.r-project.org/package=Select
Description: CRAN Package 'Select' (Determines Species Probabilities Based on Functional Traits)
 The objective of these functions is to derive a species assemblage that
 satisfies a functional trait profile. Restoring resilient ecosystems
 requires a flexible framework for selecting assemblages that are based on
 the functional traits of species. However, current trait-based models have
 been limited to algorithms that can only select species by optimising
 specific trait values, and could not elegantly accommodate the common desire
 among restoration ecologists to produce functionally diverse assemblages. We
 have solved this problem by applying a non-linear optimisation algorithm
 that optimises Rao Q, a closed-form functional trait diversity index that
 incorporates species abundances, subject to other linear constraints. This
 framework generalises previous models that only optimised the entropy of the
 community, and can optimise both functional diversity and entropy
 simultaneously. This package can also be used to generate experimental
 assemblages to test the effects of community-level traits on community
 dynamics and ecosystem function. The method is based on theory discussed in
 Laughlin (2014, Ecology Letters) <doi.org/10.1111/ele.12288>.

Package: r-cran-selectapref
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-selectapref_0.1.2-1.ca2004.1_all.deb
Size: 14956
MD5sum: 0ad13d0b44915f35472758369ec832ef
SHA1: 1142434cdac38400de90e0c97b9b7a30c4c17a46
SHA256: a79debc44234d2c951d2db28797e60b05515fd175bdddb7de456009746193fd9
SHA512: ea1500ff9a380c022ba86f47b94674c1cd65ff825997ccc192619b765fd4e7cd0a699b4e5f9e8c32d4c2a4fb0f7c8e709a3bfac83f8c03534f7283cf06a73043
Homepage: https://cran.r-project.org/package=selectapref
Description: CRAN Package 'selectapref' (Analysis of Field and Laboratory Foraging)
 Provides indices such as Manly's alpha, foraging ratio, and Ivlev's
 selectivity to allow for analysis of dietary selectivity and preference. Can
 accommodate multiple experimental designs such as constant prey number of
 prey depletion. Please contact the package maintainer with any publications
 making use of this package in an effort to maintain a repository of dietary
 selections studies.

Package: r-cran-selectboost
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lars, r-cran-glmnet, r-cran-igraph, r-cran-msgps, r-cran-rfast, r-cran-cascade, r-cran-varbvs, r-cran-spls, r-cran-abind
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-bioc-mixomics, r-cran-cascadedata
Filename: pool/dists/focal/main/r-cran-selectboost_2.2.2-1.ca2004.1_all.deb
Size: 2125820
MD5sum: 3e1350d459a1b31900177427f0f5f01b
SHA1: 6c1b4326253e60133a19bace881f109f1f6d0b56
SHA256: 173cbfa13f2f3f7c3b4cf092ced5115b33005b3acd8354418bf4e079a7a53e9a
SHA512: cb00579b9160f0a36ffc0f2cedb206cf1e1c2809cc76cbe7b6036932d0ef28c227bf4a8d0e5bd82ab23a64ea41ea985e86aa23b0dce55d7b93e3aabebd0b8f4c
Homepage: https://cran.r-project.org/package=SelectBoost
Description: CRAN Package 'SelectBoost' (A General Algorithm to Enhance the Performance of VariableSelection Methods in Correlated Datasets)
 An implementation of the selectboost algorithm (Bertrand et al. 2020,
 'Bioinformatics', <doi:10.1093/bioinformatics/btaa855>), which is a general
 algorithm that improves the precision of any existing variable selection
 method. This algorithm is based on highly intensive simulations and takes
 into account the correlation structure of the data. It can either produce a
 confidence index for variable selection or it can be used in an experimental
 design planning perspective.

Package: r-cran-selection.index
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-markdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-selection.index_1.2.0-1.ca2004.1_all.deb
Size: 49552
MD5sum: 3dc63ce1778f53cbc9aed6c89cd6701b
SHA1: 96713704b122a08a9ce23a867218d3569ee3ce86
SHA256: 9831af45ec2764bcae25dfde58df86a91333e26cb4c7b87b20d0825a841521dc
SHA512: 02c7e65fc49a6f3c56f4b9d0e1a75eea0b4446a7b3e6cf04f0d894ea26ebce3b4181a235b8647e4bd5c63b081ce8b870cf287d049a4b0eb17abb9bb46752a57e
Homepage: https://cran.r-project.org/package=selection.index
Description: CRAN Package 'selection.index' (Analysis of Selection Index in Plant Breeding)
 The aim of most plant breeding programmes is simultaneous improvement of
 several characters. An objective method involving simultaneous selection for
 several attributes then becomes necessary. It has been recognised that most
 rapid improvements in the economic value is expected from selection applied
 simultaneously to all the characters which determine the economic value of a
 plant, and appropriate assigned weights to each character according to their
 economic importance, heritability and correlations between characters. So
 the selection for economic value is a complex matter. If the component
 characters are combined together into an index in such a way that when
 selection is applied to the index, as if index is the character to be
 improved, most rapid improvement of economic value is expected. Such an
 index was first proposed by Smith (1937
 <doi:10.1111/j.1469-1809.1936.tb02143.x>) based on the Fisher's (1936
 <doi:10.1111/j.1469-1809.1936.tb02137.x>) "discriminant function" Dabholkar
 (1999
 <https://books.google.co.in/books?id=mlFtumAXQ0oC&lpg=PA4&ots=Xgxp1qLuxS&dq=elements%20of%20biometrical%20genetics&lr&pg=PP1#v=onepage&q&f=false>).
 In this package selection index is calculated based on the Smith (1937)
 selection index method.

Package: r-cran-selectionbias
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 382
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arm, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-table1, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-selectionbias_2.0.0-1.ca2004.1_all.deb
Size: 215624
MD5sum: a08510f7c12970eb6a7a84ec17eb7541
SHA1: 37b048fdcc85acbe65c0f5f81c9edfb67dc36b64
SHA256: c04ad62fc5069fe0ad084615c33aeeb9094ab147207bc427a03524fd5cadec5d
SHA512: 06a0918bc827c3557586a31478ec045a0fa89c9230c2bb47881db5d333c3809d4b49bcf9aa289e09057c8ad087607b4f98f2c7fa8a8e6697653646b072c04552
Homepage: https://cran.r-project.org/package=SelectionBias
Description: CRAN Package 'SelectionBias' (Calculates Bounds for the Selection Bias for Binary Treatmentand Outcome Variables)
 Computes bounds and sensitivity parameters as part of sensitivity analysis
 for selection bias. Different bounds are provided: the SV (Smith and
 VanderWeele), AF (assumption-free) bound, GAF (generalized AF), and CAF
 (counterfactual AF) bounds. The calculation of the sensitivity parameters
 for the SV and GAF bounds assume an additional dependence structure in form
 of a generalized M-structure. The bounds can be calculated for any structure
 as long as the necessary assumptions hold. See Smith and VanderWeele (2019)
 <doi:10.1097/EDE.0000000000001032>, Zetterstrom and Waernbaum (2022)
 <doi:10.1515/em-2022-0108> and Zetterstrom (2024)
 <doi:10.1515/em-2023-0033>.

Package: r-cran-selectiongain
Architecture: all
Version: 2.0.710-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-selectiongain_2.0.710-1.ca2004.1_all.deb
Size: 229384
MD5sum: c55e8ecf69514f70d321200950ed26bf
SHA1: a4b08746227cdcda5a6eee87fc8e195d061a461a
SHA256: bf4a149caf9eb1c675a1c258d14076c4fa24edb4be6defccefabeaa9cafafd47
SHA512: 0de03269c72361dba8de0dc3ef6a4b9c9f9b5fbc3d063e3a1c6b3b52a7a97743f52148074bb37cbce914e0ac0adffb23ca09286c79a66466d82b3d3a7090e560
Homepage: https://cran.r-project.org/package=selectiongain
Description: CRAN Package 'selectiongain' (A Tool for Calculation and Optimization of the Expected Gainfrom Multi-Stage Selection)
 Multi-stage selection is practiced in numerous fields of life and social
 sciences and particularly in breeding. A special characteristic of
 multi-stage selection is that candidates are evaluated in successive stages
 with increasing intensity and effort, and only a fraction of the superior
 candidates is selected and promoted to the next stage. For the optimum
 design of such selection programs, the selection gain plays a crucial role.
 It can be calculated by integration of a truncated multivariate normal (MVN)
 distribution.  While mathematical formulas for calculating the selection
 gain and the variance among selected candidates were developed long time
 ago, solutions for numerical calculation were not available. This package
 can also be used for optimizing multi-stage selection programs for a given
 total budget and different costs of evaluating the candidates in each stage.

Package: r-cran-selectmeta
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-deoptim
Filename: pool/dists/focal/main/r-cran-selectmeta_1.0.9-1.ca2004.1_all.deb
Size: 88480
MD5sum: 837613ca7b5d765dc9d3a3db079eae14
SHA1: c45cd3414b2b9a3ad510d70aa94d2627f4b6ea26
SHA256: 46a9b8925926edc6952a6c3df51cfef37cd47f4f0df1779e88dd77e897f4172e
SHA512: ea68bbb37b949516e2de08d88260244da03fb83ff1257da084860859f9f7f2338ffe4d5855af45d6a70d7171423dcfc1e8060fc2f7cb1541bc50e7e321e67e96
Homepage: https://cran.r-project.org/package=selectMeta
Description: CRAN Package 'selectMeta' (Estimation of Weight Functions in Meta Analysis)
 Publication bias, the fact that studies identified for inclusion in a meta
 analysis do not represent all studies on the topic of interest, is commonly
 recognized as a threat to the validity of the results of a meta analysis.
 One way to explicitly model publication bias is via selection models or
 weighted probability distributions. In this package we provide
 implementations of several parametric and nonparametric weight functions.
 The novelty in Rufibach (2011) is the proposal of a non-increasing variant
 of the nonparametric weight function of Dear & Begg (1992). The new approach
 potentially offers more insight in the selection process than other methods,
 but is more flexible than parametric approaches. To maximize the
 log-likelihood function proposed by Dear & Begg (1992) under a monotonicity
 constraint we use a differential evolution algorithm proposed by Ardia et al
 (2010a, b) and implemented in Mullen et al (2009). In addition, we offer a
 method to compute a confidence interval for the overall effect size theta,
 adjusted for selection bias as well as a function that computes the
 simulation-based p-value to assess the null hypothesis of no selection as
 described in Rufibach (2011, Section 6).

Package: r-cran-selectr
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 544
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-r6
Suggests: r-cran-testthat, r-cran-xml, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-selectr_0.4-2-1.ca2004.1_all.deb
Size: 400088
MD5sum: 4fc908461ca58b59ab19bf74a496c0cb
SHA1: bd2fb84f412d41304b94cb9f4cbf53d67ea73588
SHA256: 71adfd016f22282323c33cfe5e79a0682b69d8403bcd195f1e5fbddb656719bd
SHA512: 9b0f1b46522454346aceac93b177ac9f7ab862343e63164a49b5687d988c4d425dcd5032c2c58e050d9e8240d5a4ce21aa5a44e3949679dfe9537e7286a6916f
Homepage: https://cran.r-project.org/package=selectr
Description: CRAN Package 'selectr' (Translate CSS Selectors to XPath Expressions)
 Translates a CSS3 selector into an equivalent XPath expression. This allows
 us to use CSS selectors when working with the XML package as it can only
 evaluate XPath expressions. Also provided are convenience functions useful
 for using CSS selectors on XML nodes. This package is a port of the Python
 package 'cssselect' (<https://cssselect.readthedocs.io/>).

Package: r-cran-selectspm
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-ecespa, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat.random
Filename: pool/dists/focal/main/r-cran-selectspm_0.7-1.ca2004.1_all.deb
Size: 75880
MD5sum: 277c49b95dededd5d324dcb20aaf856e
SHA1: eef73f8261106b732d17200c52479e9ee201a21f
SHA256: 8282b35d11958544e847aaa206d29b5157de13b9e2bf8e4d63a6624c7630a4b0
SHA512: 4920081f0c6037e7473e9e450a51376365608cf09ee29e24be085251f17d72dccdc4ef2ad4cde8612fa6c8bd7ae0a88b3bbb76ec7a4ff06915274e23ea3816d9
Homepage: https://cran.r-project.org/package=selectspm
Description: CRAN Package 'selectspm' (Select Point Pattern Models Based on Minimum Contrast, AIC andGoodness of Fit)
 Fit and selects point pattern models based on minimum contrast, AIC and and
 goodness of fit.

Package: r-cran-selemix
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 804
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-ecdat, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-selemix_1.0.3-1.ca2004.1_all.deb
Size: 765184
MD5sum: e3a4ffcb1da2442961d95e5fa2717ffd
SHA1: 79c572225b0942f791ff424cfc049557bbb4d8b8
SHA256: ae32a741f98634e171ef8d59204a6c4852371cbadf6e845324e1b9f7421eca51
SHA512: f6d761f06216a61551eafe75560e25abc584f0052ec02693826f79368dc3151ed5579323b000170b16b79e36d743ad243bd3075e430470263503edc7af847785
Homepage: https://cran.r-project.org/package=SeleMix
Description: CRAN Package 'SeleMix' (Selective Editing via Mixture Models)
 Detection of outliers and influential errors using a latent variable model.

Package: r-cran-selenider
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-coro, r-cran-curl, r-cran-lifecycle, r-cran-prettyunits, r-cran-rlang, r-cran-vctrs, r-cran-withr
Suggests: r-cran-chromote, r-cran-jsonlite, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-rselenium, r-cran-rvest, r-cran-selenium, r-cran-shiny, r-cran-shinytest2, r-cran-showimage, r-cran-testthat, r-cran-wdman, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-selenider_0.4.1-1.ca2004.1_all.deb
Size: 589988
MD5sum: 87f092e883a092e2bbbeb36378e53198
SHA1: 8d66bd71550cad652d10fedfeb2abb96cbf0e38c
SHA256: e3193b3f3a31fe833a04a013424fba43f1a50d4e3802d02cda2884ef869c8559
SHA512: 9a685a2dfddb1d8308e39a46d57f5464526646e9e4b744c9c96f8a17d7eb39ff57115b96ab4fb688aa25170283f6550c9c175532cb00b99d08b3079cc6f88db4
Homepage: https://cran.r-project.org/package=selenider
Description: CRAN Package 'selenider' (Concise, Lazy and Reliable Wrapper for 'chromote' and 'selenium')
 A user-friendly wrapper for web automation, using either 'chromote' or
 'selenium'. Provides a simple and consistent API to make web scraping and
 testing scripts easy to write and understand.  Elements are lazy, and
 automatically wait for the website to be valid, resulting in reliable and
 reproducible code, with no visible impact on the experience of the
 programmer.

Package: r-cran-selenium
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64enc, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-processx, r-cran-r6, r-cran-rappdirs, r-cran-rlang
Suggests: r-cran-gitcreds, r-cran-testthat, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-selenium_0.2.0-1.ca2004.1_all.deb
Size: 348504
MD5sum: 4164c469ed09d91245e61b3653e3228f
SHA1: 478e9cb943d72a6db6d411573cf9eb68f109cc6e
SHA256: d88b1cc2e604c6a2dce2f26d09f7f8ef9793509b0f6f7c21f7f2bb3d2780e5ff
SHA512: 96f6cc36c58cbba972b1b6f949e2959db8c4d527e1dd93d8277696ff8a8aa87b49d9720ca4fc4f723a6f6c10280595e40f0a87772c3f2cf0ed4ebfa2a6d04eef
Homepage: https://cran.r-project.org/package=selenium
Description: CRAN Package 'selenium' (Low-Level Browser Automation Interface)
 An implementation of 'W3C WebDriver 2.0'
 (<https://w3c.github.io/webdriver/>), allowing interaction with a 'Selenium
 Server' (<https://www.selenium.dev/documentation/grid/>) instance from 'R'.
 Allows a web browser to be automated from 'R'.

Package: r-cran-seleniumpipes
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2001
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-magrittr, r-cran-whisker
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-data.table, r-cran-testthat, r-cran-covr, r-cran-rsaucelabs
Filename: pool/dists/focal/main/r-cran-seleniumpipes_0.3.7-1.ca2004.1_all.deb
Size: 1092528
MD5sum: 5cdbdb599828e8694a2205a65e21fb37
SHA1: 652de44a9455051be5066d2bde36afbb5c32db78
SHA256: 2228e370062cbddb8ab61d9f42886800b4788bfa5a48069d2b4f4034993f9a1a
SHA512: affce436f8cb5d175ef4fbc707be8e6755345b2496c8fe1ffad7c400948e4e0d71cf0b7035a11fa8337293b5176476d8508f668db85984ea52845a617d3bba6e
Homepage: https://cran.r-project.org/package=seleniumPipes
Description: CRAN Package 'seleniumPipes' (R Client Implementing the W3C WebDriver Specification)
 The W3C WebDriver specification defines a way for out-of-process programs to
 remotely instruct the behaviour of web browsers. It is detailed at
 <https://w3c.github.io/webdriver/webdriver-spec.html>. This package provides
 an R client implementing the W3C specification.

Package: r-cran-selfea
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pwr, r-cran-mass, r-cran-plyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-selfea_1.0.1-1.ca2004.1_all.deb
Size: 87448
MD5sum: b68d9dd2a1aa345e1900c0ec3ee32232
SHA1: ccd378515152a104795c951c9f2c33c7cc277813
SHA256: cb70c39c7b19278332151c05ee2c5fd7c1281c88cc6c2d57228ce4c7c614b3b9
SHA512: 98cc2aeb3372d725ec585535eb265285c9abc1f673b074ba983826f9a937f2a837a67c6b7ca7741c016880d35cfe4bf49910df3da073fadd307224f3f7a8b846
Homepage: https://cran.r-project.org/package=selfea
Description: CRAN Package 'selfea' (Select Features Reliably with Cohen's Effect Sizes)
 Functions using Cohen's effect sizes (Cohen, Jacob. Statistical power
 analysis for the behavioral sciences. Academic press, 2013) are provided for
 reliable feature selection in biology data analysis.  In addition to Cohen's
 effect sizes, p-values are calculated and adjusted from quasi-Poisson GLM,
 negative binomial GLM and Normal distribution ANOVA.  Significant features
 (genes, RNAs or proteins) are selected by adjusted p-value and minimum
 Cohen's effect sizes, calculated to keep certain level of statistical power
 of biology data analysis given p-value threshold and sample size.

Package: r-cran-selfingtree
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-selfingtree_0.2-1.ca2004.1_all.deb
Size: 1147012
MD5sum: dfb84ac085a24550bee2f4c978d6de70
SHA1: fa1e716d79fde0a521ef992bdf5308fa41da6354
SHA256: 853b0bd37b5445935b6cef18bfcb1ffd567ebdd3ef36348460c07a19f1c86045
SHA512: 814f88b6d2991cd2f2f7aa408d796f0b72f478c429189ec3ff2141351db8660b06c179b677e3e5909f9f4de39d87d38d9b8003d493d0ed4635ac3be8c367d535
Homepage: https://cran.r-project.org/package=selfingTree
Description: CRAN Package 'selfingTree' (Genotype Probabilities in Intermediate Generations of InbreedingThrough Selfing)
 A probability tree allows to compute probabilities of complex events, such
 as genotype probabilities in intermediate generations of inbreeding through
 recurrent self-fertilization (selfing). This package implements
 functionality to compute probability trees for two- and three-marker
 genotypes in the F2 to F7 selfing generations. The conditional probabilities
 are derived automatically and in symbolic form. The package also provides
 functionality to extract and evaluate the relevant probabilities.

Package: r-cran-selindrix
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-psych
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-selindrix_0.1.2-1.ca2004.1_all.deb
Size: 68292
MD5sum: 97b09eee177696fd9f4f415847abd6f8
SHA1: 9750d2aa144f231e1f40b72d5a869a1b32effba4
SHA256: c56bbb55df45181935c178b57e71499f9e009960106d45236719c145a7d3036c
SHA512: a1e9a76087767b301d7726903049d6f4f2dd933dc4555eee242eed840f3c070e5cdc76f69df1692e7483cf063884b498497ef56e98a64db96068e3c4b2ed1531
Homepage: https://cran.r-project.org/package=seliNDRIx
Description: CRAN Package 'seliNDRIx' (Construction of Selection Index)
 Selection index is one of the efficient and acurrate method for selection of
 animals. This package is useful for construction of selection indices.  It
 uses mixed and random model least squares analysis to estimate the
 heritability of traits and genetic correlation between traits. The package
 uses the sire model as it is considered as random effect. The genetic and
 phenotypic (co)variances along with the relative economic values are used to
 construct the selection index for any number of traits. It also estimates
 the accuracy of the index and the genetic gain expected for different
 traits. Fisher (1936) <doi:10.1111/j.1469-1809.1936.tb02137.x>.

Package: r-cran-semantic.assets
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 35187
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-shiny.semantic
Filename: pool/dists/focal/main/r-cran-semantic.assets_1.1.0-1.ca2004.1_all.deb
Size: 2311768
MD5sum: f5aabf293c952c1c62aaef8b9a00f326
SHA1: de344457861b0c7450175e21dedc7c89e1970647
SHA256: 3aac1e6b223133d971e14a5e0352f27fd3677b4b8e275c8ac3e56425f8705de0
SHA512: b87703954d88bc22cc94205155b0bf06dd8e60a95c611937b3b43d481e941f91a6522547f7485b78ad3b926f5ce682de655f5131b5679488ca497fbb4ac1a78f
Homepage: https://cran.r-project.org/package=semantic.assets
Description: CRAN Package 'semantic.assets' (Assets for 'shiny.semantic')
 Style sheets and JavaScript assets for 'shiny.semantic' package.

Package: r-cran-semantic.dashboard
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shiny.semantic, r-cran-htmltools, r-cran-glue, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-lintr, r-cran-shinydashboard, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semantic.dashboard_0.2.1-1.ca2004.1_all.deb
Size: 226544
MD5sum: 3169df4ddbec910fae3afb9bdf402a52
SHA1: b1cded189ecfc96387c8fbc6743e660c37ea0bb2
SHA256: a811a6437c2f105b2265b3712e3a8a3171de1048ffe6d03a54e41aa1e939e663
SHA512: 65cdfb73b0ad2f05a00666e1b9edc5966fdd26caca956dad2759f9786a19b69e15bf37f12ad984e5b8bd80289598a5846bea530cc82d4eaff0b3050801d4562d
Homepage: https://cran.r-project.org/package=semantic.dashboard
Description: CRAN Package 'semantic.dashboard' (Dashboard with Fomantic UI Support for Shiny)
 It offers functions for creating dashboard with Fomantic UI.

Package: r-cran-semblance
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-performanceanalytics, r-cran-desctools, r-cran-msos
Suggests: r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-semblance_1.1.0-1.ca2004.1_all.deb
Size: 33208
MD5sum: 5062a43f7f77f290790c8952d789e398
SHA1: c166fc724200f04c652cb0139fbbd00bc9279e8d
SHA256: f4d4be71df4bfbf5e318d235ce236aa502a8ddba8ec6b8f1f2ccb7ad7e9e1335
SHA512: bce021349804f114240052413d8b64f1b9b9bd70fb617a062a2a070f4ea128ead90ebc116be7b5d6f6c855539eee4ed0706421c40979660af753228fb10c28f9
Homepage: https://cran.r-project.org/package=Semblance
Description: CRAN Package 'Semblance' (A Data-Driven Similarity Kernel on Probability Spaces)
 We present a rank-based Mercer kernel to compute a pair-wise similarity
 metric corresponding to informative representation of data. We tailor the
 development of a kernel to encode our prior knowledge about the data
 distribution over a probability space. The philosophical concept behind our
 construction is that objects whose feature values fall on the extreme of
 that feature’s probability mass distribution are more similar to each other,
 than objects whose feature values lie closer to the mean. Semblance
 emphasizes features whose values lie far away from the mean of their
 probability distribution. The kernel relies on properties empirically
 determined from the data and does not assume an underlying distribution. The
 use of feature ranks on a probability space ensures that Semblance is
 computational efficacious, robust to outliers, and statistically stable,
 thus making it widely applicable algorithm for pattern analysis. The output
 from the kernel is a square, symmetric matrix that gives proximity values
 between pairs of observations.

Package: r-cran-semboottools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-lavaan, r-cran-psych, r-cran-lavaan.printer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semboottools_0.1.0-1.ca2004.1_all.deb
Size: 164224
MD5sum: 38eccea4b62f8179316bf4b8bff7a11e
SHA1: db414794ae8e4e33be4aa094a349980d63d1fce4
SHA256: efcb7af2f400066a6e09fbfac1c1438e0ae4c5d240c8bb1343cd6d6f957a46f5
SHA512: 919267a215e9db1ce6c8e586215335a62060ee61ae775cbdb103613a6055c5de7886c0538cfd8bed5ba9036980e8da09643a39f57cbf38bec201eb86ff7e298d
Homepage: https://cran.r-project.org/package=semboottools
Description: CRAN Package 'semboottools' (Bootstrapping Helpers for Structural Equation Modelling)
 A collection of helper functions for forming bootstrapping confidence
 intervals and examining bootstrap estimates in structural equation
 modelling. Currently supports models fitted by the 'lavaan' package by
 Rosseel (2012) <doi:10.18637/jss.v048.i02>.

Package: r-cran-semdeep
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-semgraph, r-cran-igraph, r-cran-cito, r-cran-corpcor, r-cran-dosnow, r-cran-foreach, r-cran-kernelshap, r-cran-lavaan, r-cran-glmnet, r-cran-neuralnettools, r-cran-nnet, r-cran-progress, r-cran-ranger, r-cran-rpart, r-cran-torch, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-semdeep_1.0.0-1.ca2004.1_all.deb
Size: 195196
MD5sum: 5415953c06296edd53223b81936baa7b
SHA1: d6f3c90c7bc2188c996570a0f64f1c2a0d4dbe85
SHA256: b4cf5b4a31811ba287731843d84600b5d829efabb4270d280e7e48ee3c985de2
SHA512: 3b4467ed2d97ded5dfe2b18e741732e65fcd2dc8d605ea21f6d72289e71b24039274918c940f3d858949592ea1b608454cfbc622ae5e2b1231d197d6df4b632e
Homepage: https://cran.r-project.org/package=SEMdeep
Description: CRAN Package 'SEMdeep' (Structural Equation Modeling with Deep Neural Network andMachine Learning)
 Training and validation of a custom (or data-driven) Structural Equation
 Models using layer-wise Deep Neural Networks or node-wise Machine Learning
 algorithms, which extend the fitting procedures of the 'SEMgraph' R package
 <doi:10.32614/CRAN.package.SEMgraph>.

Package: r-cran-semdiag
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sem
Filename: pool/dists/focal/main/r-cran-semdiag_0.1.2-1.ca2004.1_all.deb
Size: 159260
MD5sum: 39a820f02d4fcdcef227b72d542bec46
SHA1: e0d90020cc49e62e5d1c41ee0dc107028679279b
SHA256: 7dd3fe8396bb9c2d254274e9810e0403fd5e56b81d4c405c165af257d75cb0e8
SHA512: 6e8262fc7944bfe1b6962da2671c99749c6ad9d29bf3558fbb67092d50ec26ffa1aa23a186f9b1a076ffc23f35fa146bc5e6a11f33bca446f04125faddacd02c
Homepage: https://cran.r-project.org/package=semdiag
Description: CRAN Package 'semdiag' (Structural equation modeling diagnostics)
 Outlier and leverage diagnostics for SEM.

Package: r-cran-semdrw
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyace, r-cran-lavaan, r-cran-semplot, r-cran-dplyr, r-cran-semtools, r-cran-psych
Filename: pool/dists/focal/main/r-cran-semdrw_0.1.0-1.ca2004.1_all.deb
Size: 73588
MD5sum: 0b750a88d6d3b6f27beb8d25940608ff
SHA1: ada74537673e53feb955aabaa083294eade6af88
SHA256: b131d3b11a7f66f62daa654ea29da5771006dd2dbbdfdaebd9311b510f1c0d60
SHA512: 2ec131813f8d9d0dc9bdf272e123fa348e1c4fae549fdc0243b32b8ced87afcbb2c5f4c6f4c6e66b02cae8a15762596225fbe7a4677289e431e02fd9d3d0b3ac
Homepage: https://cran.r-project.org/package=semdrw
Description: CRAN Package 'semdrw' ('SEM Shiny')
 Interactive 'shiny' application for working with Structural Equation
 Modelling technique. Runtime examples are provided in the package function
 as well as at <https://kartikeyab.shinyapps.io/semwebappk/> .

Package: r-cran-semds
Architecture: all
Version: 0.9-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pracma, r-cran-minpack.lm
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-semds_0.9-7-1.ca2004.1_all.deb
Size: 94320
MD5sum: 1147fe6c4e0c521044941751f504abd9
SHA1: 9c1e753ef5fe6961cfbd952781f12b8ec1d60016
SHA256: 582f89804c92488b00747afb3f22dbf53ca8b36081f4b689f6b84b5cc4209e92
SHA512: bf99fe6d207187f8d4a0e92981dbbb352c6411eee8166f0d8ac792f9a633040657efe9d5969a3f7f6d33606865f3f21cd7ae09bf5c67dd1edb35ad9144b88eec
Homepage: https://cran.r-project.org/package=semds
Description: CRAN Package 'semds' (Structural Equation Multidimensional Scaling)
 Fits a structural equation multidimensional scaling (SEMDS) model for
 asymmetric and three-way input dissimilarities. It assumes that the
 dissimilarities are measured with errors. The latent dissimilarities are
 estimated as factor scores within an SEM framework while the objects are
 represented in a low-dimensional space as in MDS.

Package: r-cran-semeff
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-gsl, r-cran-lme4
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-piecewisesem, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semeff_0.7.2-1.ca2004.1_all.deb
Size: 2208704
MD5sum: 0371f0f342a240cdbfd7c3e630f933f8
SHA1: 51ab8c04a197a3b07e409510f53f0d737d239f50
SHA256: b468919856487ae942bb56ba76650df3047c6cb163e8ea16eef1e928a7db362d
SHA512: f9c0918e8df491101df69cc17ca63eee5f5d18f93cde6c696196e6505d00a881351ef07a73dbab28e32098f3b73f13f6ab67c2070b3519d0d56955d7042425ae
Homepage: https://cran.r-project.org/package=semEff
Description: CRAN Package 'semEff' (Automatic Calculation of Effects for Piecewise StructuralEquation Models)
 Automatically calculate direct, indirect, and total effects for piecewise
 structural equation models, comprising lists of fitted models representing
 structured equations (Lefcheck, 2016 <doi:10/f8s8rb>).  Confidence intervals
 are provided via bootstrapping.

Package: r-cran-semfindr
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-matrix, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-modi, r-cran-mass
Filename: pool/dists/focal/main/r-cran-semfindr_0.1.9-1.ca2004.1_all.deb
Size: 942644
MD5sum: 2a2bde320082098cf89cfd5e03fdf9d4
SHA1: 4fbd9a9dbb27ddb3390f1a5ec25de0ab90f06c78
SHA256: 05e22295bfe9e161a645d15f85e7ce6964b861c9590b9de128958f0df293ddd4
SHA512: eab5520c7b5c04f8ed5dd0a3f5f1bca0ddae840e3b05a3fd3e7276beaa156979dc85e1124a03246204100a99aab17f29a2f31821a6373ada18c3fca129540b19
Homepage: https://cran.r-project.org/package=semfindr
Description: CRAN Package 'semfindr' (Influential Cases in Structural Equation Modeling)
 Sensitivity analysis in structural equation modeling using influence
 measures and diagnostic plots. Support leave-one-out casewise sensitivity
 analysis presented by Pek and MacCallum (2011)
 <doi:10.1080/00273171.2011.561068> and approximate casewise influence using
 scores and casewise likelihood.

Package: r-cran-semgram
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-rsyntax, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-semgram_0.1.0-1.ca2004.1_all.deb
Size: 117052
MD5sum: ddb2d413a2ef03c0fa2cb3763ab33fa8
SHA1: 5a7fcd90101c05261b380732202cc0bc9329aff3
SHA256: 6c4939085a8769cf4fbeec3f8a765dfb7b8bc2510d95c1ef1e6e86211ef8fefe
SHA512: 5a4eb5c031004f11ef135bf5d76d511120e555c42e16931aa2b87eaeefb96d1a66ab8e8f052e57f90bb2ec93c6d6f62995fc87b1cdff8772721ce901e3231124
Homepage: https://cran.r-project.org/package=semgram
Description: CRAN Package 'semgram' (Extracting Semantic Motifs from Textual Data)
 A framework for extracting semantic motifs around entities in textual data.
 It implements an entity-centered semantic grammar that distinguishes six
 classes of motifs: actions of an entity, treatments of an entity, agents
 acting upon an entity, patients acted upon by an entity, characterizations
 of an entity, and possessions of an entity. Motifs are identified by
 applying a set of extraction rules to a parsed text object that includes
 part-of-speech tags and dependency annotations - such as those generated by
 'spacyr'. For further reference, see: Stuhler (2022) <doi:
 10.1177/00491241221099551>.

Package: r-cran-semgraph
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1686
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-lavaan, r-cran-aspect, r-cran-boot, r-cran-corpcor, r-cran-dagitty, r-cran-flip, r-cran-gdata, r-cran-ggm, r-cran-glasso, r-cran-glmnet, r-bioc-graph, r-cran-mgcv, r-cran-mvtnorm, r-cran-pbapply, r-cran-protoclust, r-bioc-rbgl, r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-semgraph_1.2.3-1.ca2004.1_all.deb
Size: 1662104
MD5sum: 2828e2be1853065d7e1fe860ab4194fb
SHA1: ac38a69fa2822e112e312e60c7e00cee9ece3567
SHA256: 81aad94e233c64453ba3eed22e4825f4e28611a1b40e34d997e0356f13d75d3a
SHA512: 0afddf91ba0217b873586bd923630227127d6cfd0cbb67831b8afb54ff7f912e46c52df16875ac5dc9fddeda5e242c3a6905de26de761321c1d56d527c13fbbb
Homepage: https://cran.r-project.org/package=SEMgraph
Description: CRAN Package 'SEMgraph' (Network Analysis and Causal Inference Through StructuralEquation Modeling)
 Estimate networks and causal relationships in complex systems through
 Structural Equation Modeling. This package also includes functions for
 importing, weight, manipulate, and fit biological network models within the
 Structural Equation Modeling framework as outlined in the Supplementary
 Material of Grassi M, Palluzzi F, Tarantino B (2022)
 <doi:10.1093/bioinformatics/btac567>.

Package: r-cran-semhelpinghands
Architecture: all
Version: 0.1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1321
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-boot, r-cran-rlang, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-semtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semhelpinghands_0.1.12-1.ca2004.1_all.deb
Size: 1172876
MD5sum: 9c7a7e55294dbdafbd941726853c21ab
SHA1: cb3f53d4998b9ecadd322262f21493b85d74ca53
SHA256: 65cf23e8f39f857ff9902d4fe9d66ece7dc07a955f58c642c196ddaa70f2628d
SHA512: bb8ad0532fc7d78f81eb2bd581eafbb59840c17b1b7c94932a478e7fe686d5c2b35e325dc03cc6da9a5ecce441e4560d3e28b4a794b991bfb6aabbadea05a4f1
Homepage: https://cran.r-project.org/package=semhelpinghands
Description: CRAN Package 'semhelpinghands' (Helper Functions for Structural Equation Modeling)
 An assortment of helper functions for doing structural equation modeling,
 mainly by 'lavaan' for now. Most of them are time-saving functions for
 common tasks in doing structural equation modeling and reading the output.
 This package is not for functions that implement advanced statistical
 procedures. It is a light-weight package for simple functions that do simple
 tasks conveniently, with as few dependencies as possible.

Package: r-cran-semiartificial
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corelearn, r-cran-rsnns, r-cran-mass, r-cran-nnet, r-cran-cluster, r-cran-fpc, r-cran-timedate, r-cran-robustbase, r-cran-ks, r-cran-logspline, r-cran-mcclust, r-cran-flexclust, r-cran-statmatch
Filename: pool/dists/focal/main/r-cran-semiartificial_2.4.1-1.ca2004.1_all.deb
Size: 207824
MD5sum: bb631feb0d43a7e7cbe5ed85692caecb
SHA1: 424468d744cb51d7640318be03d4e8f5c1404b93
SHA256: 1d7b3350c680a19beb1e0588e5ab91e435d7ac40fabaec7e9763c16b36a65c02
SHA512: 856d766bb012a2c2e89fe8b4708cd0d38f3eac39c2a3ecf56d7b96ffb9a7030a1a7ac48175ab54074dec8fca486a42b1d24b4a7f357c06a1bfcfc0b038560f25
Homepage: https://cran.r-project.org/package=semiArtificial
Description: CRAN Package 'semiArtificial' (Generator of Semi-Artificial Data)
 Contains methods to generate and evaluate semi-artificial data sets.  Based
 on a given data set different methods learn data properties using machine
 learning algorithms and generate new data with the same properties.  The
 package currently includes the following data generators: i) a RBF network
 based generator using rbfDDA() from package 'RSNNS', ii) a Random Forest
 based generator for both classification and regression problems iii) a
 density forest based generator for unsupervised data Data evaluation support
 tools include: a) single attribute based statistical evaluation: mean,
 median, standard deviation, skewness, kurtosis, medcouple, L/RMC, KS test,
 Hellinger distance b) evaluation based on clustering using Adjusted Rand
 Index (ARI) and FM c) evaluation based on classification performance with
 various learning models, e.g., random forests.

Package: r-cran-semicmprskcoxmsm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-twang, r-cran-fastghquad, r-cran-rcpp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semicmprskcoxmsm_0.2.0-1.ca2004.1_all.deb
Size: 115264
MD5sum: c449b9b4f316f454b8af7ab392fee438
SHA1: 5aec6e395bdcf5a92aba5cd5c53b475c9d649bb7
SHA256: 14186c953eaedd7ccb36d8b31c4ac93f51c1091399d9eb1b2ef9725547436885
SHA512: 46e26648722301226212ab6dc2d4c165941ab52707784ecb7945c39cbbcb4f452667e35136c7063efb528ba2f75f4fa0e32a404368b86e253ee466f4dc42fa3e
Homepage: https://cran.r-project.org/package=semicmprskcoxmsm
Description: CRAN Package 'semicmprskcoxmsm' (Use Inverse Probability Weighting to Estimate Treatment Effectfor Semi Competing Risks Data)
 Use inverse probability weighting methods to estimate treatment effect under
 marginal structure model (MSM) for the transition hazard of semi competing
 risk data, i.e. illness death model. We implement two specific such models,
 the usual Markov illness death structural model and the general Markov
 illness death structural model. We also provide the predicted three risks
 functions from the marginal structure models. Zhang, Y. and Xu, R. (2022)
 <arXiv:2204.10426>.

Package: r-cran-semicontmanova
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixcalc, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-semicontmanova_0.2-1.ca2004.1_all.deb
Size: 79424
MD5sum: bfb60dd4cdb555b6a0d99e5a2f0f6f3d
SHA1: 3789dabf2d13edc268ea2541b2f7dcd5998c2a36
SHA256: 0f3da0e74f1715abfa928ee195405267a5248da089c36e42409af7d63444166e
SHA512: 239308ff590f6e5c0bd85c8f6436bb135fcd47bad2f9ee1cb5f0ddca858c3c27fe66c8df8f1ccf0e936a37ac883051af4727ce08de5c12884b86b811a939c871
Homepage: https://cran.r-project.org/package=semicontMANOVA
Description: CRAN Package 'semicontMANOVA' (Multivariate ANalysis of VAriance with Ridge Regularization forSemicontinuous High-Dimensional Data)
 Implements Multivariate ANalysis Of VAriance (MANOVA) parameters' inference
 and test with regularization for semicontinuous high-dimensional data. The
 method can be applied also in presence of low-dimensional data. The p-value
 can be obtained through asymptotic distribution or using a permutation
 procedure. The package gives also the possibility to simulate this type of
 data. Method is described in Elena Sabbioni, Claudio Agostinelli and Alessio
 Farcomeni (2025) A regularized MANOVA test for semicontinuous
 high-dimensional data. Biometrical Journal, 67:e70054. DOI
 <doi:10.1002/bimj.70054>, arXiv DOI <doi:10.48550/arXiv.2401.04036>.

Package: r-cran-semid
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r.oo, r-cran-r.methodss3, r-cran-igraph, r-cran-r.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semid_0.4.1-1.ca2004.1_all.deb
Size: 334524
MD5sum: c83fa14b4871f2b413744509c9cdc63d
SHA1: 028154e95e3ab1e231146b3694de969e2089d2da
SHA256: faa5ef3b0674fc8c355c6f0b3040555b73ef95cb893df471c10a03f30710e2c2
SHA512: ab3923a2cd8afafe1a8f103816a2a74d915a094ae3b549499ffe64b569d9f7097858da840690618b8d78383ae9d3aad9c8b41c8beb5f3300409b38c0d4065d9d
Homepage: https://cran.r-project.org/package=SEMID
Description: CRAN Package 'SEMID' (Identifiability of Linear Structural Equation Models)
 Provides routines to check identifiability or non-identifiability of linear
 structural equation models as described in Drton, Foygel, and Sullivant
 (2011) <doi:10.1214/10-AOS859>, Foygel, Draisma, and Drton (2012)
 <doi:10.1214/12-AOS1012>, and other works. The routines are based on the
 graphical representation of structural equation models.

Package: r-cran-semiestimate
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-numderiv, r-cran-purrr, r-cran-rlang, r-cran-testthat, r-cran-bb, r-cran-nleqslv, r-cran-splines2
Filename: pool/dists/focal/main/r-cran-semiestimate_1.1.3-1.ca2004.1_all.deb
Size: 58772
MD5sum: 5c94e3b346234da24e76e57c3b15ad70
SHA1: dd79bfd4c2d641d65faa63145471f46c1c005884
SHA256: 5cdb2bd14836730ad49e98595cddeadfb114ba4d3e4a8cfaf2713762b1c8b389
SHA512: 722c0d0615b788e59d93355ab8bf121d1a6986c1fb44fec7cd9ee14726044d98611a0bb14aac172dd42d7ee267a404110c4454abf83c9794d63b432a01f663c8
Homepage: https://cran.r-project.org/package=SemiEstimate
Description: CRAN Package 'SemiEstimate' (Solve Semi-Parametric Estimation by Implicit Profiling)
 Semi-parametric estimation problem can be solved by two-step Newton-Raphson
 iteration. The implicit profiling method<arXiv:2108.07928> is an improved
 method of two-step NR iteration especially for the implicit-bundled type of
 the parametric part and non-parametric part. This package provides a
 function semislv() supporting the above two methods and numeric derivative
 approximation for unprovided Jacobian matrix.

Package: r-cran-semimarkov
Architecture: all
Version: 1.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-mass, r-cran-rsolnp
Filename: pool/dists/focal/main/r-cran-semimarkov_1.4.6-1.ca2004.1_all.deb
Size: 240880
MD5sum: eb4a694a94a64837783f117b64d34b53
SHA1: 2a9ef6020a03b5a0d15387472696213de244ce56
SHA256: 053366817310900adf0fa17727eb3b0dcd7829aa798f920670725a60d796f503
SHA512: aa2ab308bddedf28a0df3152ded256a2d094f2aabd9e10dec9889768541d04675a1741bd145b490f99ab2ff796db830e231026cdade4cceb4780efb31250e6e9
Homepage: https://cran.r-project.org/package=SemiMarkov
Description: CRAN Package 'SemiMarkov' (Multi-States Semi-Markov Models)
 Functions for fitting multi-state semi-Markov models to longitudinal data. A
 parametric maximum likelihood estimation method adapted to deal with
 Exponential, Weibull and Exponentiated Weibull distributions is considered.
 Right-censoring can be taken into account and both constant and time-varying
 covariates can be included using a Cox proportional model. Reference: A.
 Krol and P. Saint-Pierre (2015) <doi:10.18637/jss.v066.i06>.

Package: r-cran-seminr
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2222
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-glue, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-webp
Filename: pool/dists/focal/main/r-cran-seminr_2.3.4-1.ca2004.1_all.deb
Size: 1466636
MD5sum: e96dffce7422fee72f544e3bb6f2fa9a
SHA1: a44efa4cfa549be9cb92f73b11204d91f37e6d03
SHA256: 2701d632a09554911c738d07528b34bf3e40e4afa40b4af38de13e02747b624f
SHA512: d05888960f3a8a485fbdc79fea077e7501efa4bcb9954a6fab6ca5722476d773aa8ef1227690c34fd7acbbe0559a6c5e503c9494c3a180863c3a0750a0dbcf50
Homepage: https://cran.r-project.org/package=seminr
Description: CRAN Package 'seminr' (Building and Estimating Structural Equation Models)
 A powerful, easy to syntax for specifying and estimating complex Structural
 Equation Models. Models can be estimated using Partial Least Squares Path
 Modeling or Covariance-Based Structural Equation Modeling or covariance
 based Confirmatory Factor Analysis. Methods described in Ray, Danks, and
 Valdez (2021).

Package: r-cran-semipar.depcens
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-copula, r-cran-foreach, r-cran-doparallel, r-cran-pbivnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semipar.depcens_0.1.3-1.ca2004.1_all.deb
Size: 105212
MD5sum: 2c1566c5960004e8be4d9d6f980fa434
SHA1: 98f1d044e07317c99befd5484d12edec6e964eb9
SHA256: fc4b4d3549436000ce6e46e0858ca8ad8aac135450a4ed9e41fb0f40fbfa41be
SHA512: 8071dbfe60012e71f8a1e09d6d51cf6e763440b1132dc93444529a47b8ca76513eda574b2da813e18f3908a0750d15bfd7b4d143ba343ccdd50aae12f1caa667
Homepage: https://cran.r-project.org/package=SemiPar.depCens
Description: CRAN Package 'SemiPar.depCens' (Copula Based Cox Proportional Hazards Models for DependentCensoring)
 Copula based Cox proportional hazards models for survival data subject to
 dependent censoring. This approach does not assume that the parameter
 defining the copula is known. The dependency parameter is estimated with
 other finite model parameters by maximizing a Pseudo likelihood function.
 The cumulative hazard function is estimated via estimating equations derived
 based on martingale ideas. Available copula functions include Frank, Gumbel
 and Normal copulas. Only Weibull and lognormal models are allowed for the
 censoring model, even though any parametric model that satisfies certain
 identifiability conditions could be used. Implemented methods are described
 in the article "Copula based Cox proportional hazards models for dependent
 censoring" by Deresa and Van Keilegom (2024)
 <doi:10.1080/01621459.2022.2161387>.

Package: r-cran-semipar
Architecture: all
Version: 1.0-4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-cluster, r-cran-nlme
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-semipar_1.0-4.2-1.ca2004.1_all.deb
Size: 316752
MD5sum: 5b8f3d2260012a275209c6e5bbbf1811
SHA1: 9b7eefc721a833ac5c947cddc4e88c4ec01527f6
SHA256: 3da8f8ba2d7618f0b868927859e98693b95c011b287bef91a513dab5e459ca53
SHA512: 0729027d65ae41eacc84f144879d405241da7f5c232cef99eb93de6a7917511f610651446c7b5701e251f9d91f76de79cdd3d51d0059f1bcc82841af7b5fd234
Homepage: https://cran.r-project.org/package=SemiPar
Description: CRAN Package 'SemiPar' (Semiparametic Regression)
 Functions for semiparametric regression analysis, to complement the book:
 Ruppert, D., Wand, M.P. and Carroll, R.J.  (2003). Semiparametric
 Regression. Cambridge University Press.

Package: r-cran-semlbci
Architecture: all
Version: 0.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 975
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-nloptr, r-cran-mass, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-pbapply, r-cran-callr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semlbci_0.11.3-1.ca2004.1_all.deb
Size: 775664
MD5sum: 81551ce4a2c45de9e9b21edce92a9d90
SHA1: b78366de39a430ac0623ce8243ae974e7f8c3a27
SHA256: 9c7ce8a4a507d513898d505cea0ae3805bae375ab5b2ae5488a034fa18319ff5
SHA512: 2df2b67cbe47c375192b5f66dfe02a604161fe722041c6af6bb5a26355a19116175410d8f8d30cec8a8a9ae546588ae7576e0b9f6a567367536e54f0b6d4ef0e
Homepage: https://cran.r-project.org/package=semlbci
Description: CRAN Package 'semlbci' (Likelihood-Based Confidence Interval in Structural EquationModels)
 Forms likelihood-based confidence intervals (LBCIs) for parameters in
 structural equation modeling, introduced in Cheung and Pesigan (2023)
 <doi:10.1080/10705511.2023.2183860>. Currently implements the algorithm
 illustrated by Pek and Wu (2018) <doi:10.1037/met0000163>, and supports the
 robust LBCI proposed by Falk (2018) <doi:10.1080/10705511.2017.1367254>.

Package: r-cran-semlrtp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-pbapply
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semlrtp_0.1.1-1.ca2004.1_all.deb
Size: 537044
MD5sum: 2bfeeec8b7d6e02faf216398f92b3f7a
SHA1: 0bd94daa2aa0ba06351f1638b195cb6f3ac738d3
SHA256: 33ccd28cb7d2942711a8ac38997bca4265d3f713324ef6ca6fc75e4350c4125a
SHA512: f229b8bcc2177286866ca44fcc9c4b84f91da33c792f53cfdd757d94ef19c124982bf0a177bf939078e5ede6a31c5c65d2cf227b7a3e2a10e90246608581fde3
Homepage: https://cran.r-project.org/package=semlrtp
Description: CRAN Package 'semlrtp' (Likelihood Ratio Test P-Values for Structural Equation Models)
 Computes likelihood ratio test (LRT) p-values for free parameters in a
 structural equation model.  Currently supports models fitted by the 'lavaan'
 package by Rosseel (2012) <doi:10.18637/jss.v048.i02>.

Package: r-cran-semmcci
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lavaan, r-cran-mice
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-psych, r-cran-amelia, r-cran-bmemlavaan
Filename: pool/dists/focal/main/r-cran-semmcci_1.1.4-1.ca2004.1_all.deb
Size: 102744
MD5sum: 13d88498f1b23ff5d69867d9c347e954
SHA1: f1081f95a723fa9d972f7312f948354d2ba85fc9
SHA256: aef1221e506ed2e833d01ef5832b08a8418152c6ccf62faa390d164e8a1eeb28
SHA512: 76469601a454f906c0c46f751b921ca0010f9677bb402bb91923328bbf9aa5b19ff69a5c4caf1aa03dbef145d24101fd83369a7a7b511b643cd9c01f710f2291
Homepage: https://cran.r-project.org/package=semmcci
Description: CRAN Package 'semmcci' (Monte Carlo Confidence Intervals in Structural Equation Modeling)
 Monte Carlo confidence intervals for free and defined parameters in models
 fitted in the structural equation modeling package 'lavaan' can be generated
 using the 'semmcci' package.  'semmcci' has three main functions, namely,
 MC(), MCMI(), and MCStd().  The output of 'lavaan' is passed as the first
 argument to the MC() function or the MCMI() function to generate Monte Carlo
 confidence intervals.  Monte Carlo confidence intervals for the standardized
 estimates can also be generated by passing the output of the MC() function
 or the MCMI() function to the MCStd() function.  A description of the
 package and code examples are presented in Pesigan and Cheung (2023)
 <doi:10.3758/s13428-023-02114-4>.

Package: r-cran-semmcmc
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-msm
Filename: pool/dists/focal/main/r-cran-semmcmc_0.0.6-1.ca2004.1_all.deb
Size: 26792
MD5sum: a179b7e46d07ac5fc61bf1216ef87771
SHA1: f240fe019e8a7177522b268b37e164002790cc28
SHA256: 48311fd37e905a2b61f39a3bf397949c21c0ab3e6f9722357732bfaa5d22b4a9
SHA512: 0f64e6ce9bac1d9289bab453127f152886ebc51beedce1d7ddffda209a4a0159ff1127f5903777a5aabdc32952a5ac3625d9e71767ce25fb3e4a1404e410bc7c
Homepage: https://cran.r-project.org/package=semmcmc
Description: CRAN Package 'semmcmc' (Bayesian Structural Equation Modeling in Multiple Omics DataIntegration)
 Provides Markov Chain Monte Carlo (MCMC) routine for the structural equation
 modelling described in Maity et. al. (2020)
 <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is useful when one
 attempts to perform an integrative survival analysis for multiple platforms
 of the Omics data where the response is time to event and the predictors are
 different omics expressions for different platforms.

Package: r-cran-semnar
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-lubridate, r-cran-parsedate, r-cran-leaflet, r-cran-urlshortener
Suggests: r-cran-curl, r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-semnar_0.8.2-1.ca2004.1_all.deb
Size: 79420
MD5sum: e47d047e8082a30420778e5e24df8e78
SHA1: c496461b13eab670163b815179e4c8a6ba246967
SHA256: 116edcae889871bdd4f6d2be74109ee4ab777aa506c29e0b8a119061c2687034
SHA512: e83d1770001a3d9724c9cdd9c125ce69dab2d390613b8943b44c9d9c21e5b8e16aa98765233839031f055ceb2636d1a85bcdb3542bb369d8dbc0e03396ca8304
Homepage: https://cran.r-project.org/package=semnar
Description: CRAN Package 'semnar' (Constructing and Interacting with Databases of Presentations)
 Provides methods for constructing and maintaining a database of
 presentations in R. The presentations are either ones that the user gives or
 gave or presentations at a particular event or event series. The package
 also provides a plot method for the interactive mapping of the presentations
 using 'leaflet' by grouping them according to country, city, year and other
 presentation attributes. The markers on the map come with popups providing
 presentation details (title, institution, event, links to materials and
 events, and so on).

Package: r-cran-semnet
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2923
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pbapply, r-cran-dplyr, r-cran-plyr, r-cran-magrittr, r-cran-ggplot2, r-cran-igraph, r-cran-qgraph, r-cran-scales, r-cran-car, r-cran-broom, r-cran-effects, r-cran-philentropy
Suggests: r-cran-shiny, r-cran-shinyjs, r-cran-shinyalert, r-cran-shinymatrix, r-cran-shinybs, r-cran-spreadr, r-cran-animation, r-cran-r.matlab, r-cran-foreign, r-cran-readxl, r-cran-data.table, r-cran-networktoolbox, r-cran-semnetcleaner, r-cran-semnetdictionaries
Filename: pool/dists/focal/main/r-cran-semnet_1.4.4-1.ca2004.1_all.deb
Size: 2655676
MD5sum: d5c361d06801437e4f061a5fc7b7c7d5
SHA1: fc074d617418a35e52580129722cf9508e050d21
SHA256: 83e2678a878caa3aac5e824e0ce8cf2b098cfb89581ade5623bb49d33497e16d
SHA512: 91e084c034f1879b7bd377d76d693f71e29b9e0f2449216dfcacb91f837c9a14d021f22d017ef2f7f6941686dc64bd1061c059a0f15f15ac633107dfeab39e9b
Homepage: https://cran.r-project.org/package=SemNeT
Description: CRAN Package 'SemNeT' (Methods and Measures for Semantic Network Analysis)
 Implements several functions for the analysis of semantic networks including
 different network estimation algorithms, partial node bootstrapping (Kenett,
 Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation
 (Kenett & Austerweil, 2016
 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a
 function to compute global network measures. Significance tests and plotting
 features are also implemented.

Package: r-cran-semnetcleaner
Architecture: all
Version: 1.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1763
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-semnetdictionaries, r-cran-foreign, r-cran-pbapply, r-cran-r.matlab, r-cran-readxl, r-cran-rstudioapi, r-cran-searcher, r-cran-shiny, r-cran-stringi, r-cran-stringdist
Suggests: r-cran-dt, r-cran-hunspell, r-cran-easycsv, r-cran-htmltable, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semnetcleaner_1.3.7-1.ca2004.1_all.deb
Size: 586256
MD5sum: c398865ad94e208e4044e76eb2ec5980
SHA1: 252efb0cfd49603699dd8a7db19f7c43849f0be4
SHA256: 5276d60a7a97ba7a33280c5cf295b7875452b3675ac02617879fe376e0b02d18
SHA512: dae0a22e3bf51dd27277d07d9d23c6b14c5b319635ca24cf982771eefb0b86f3700e540f548474ed8becaf8f910a4667b9ecf384e887b0a79f9271a86515e25b
Homepage: https://cran.r-project.org/package=SemNetCleaner
Description: CRAN Package 'SemNetCleaner' (An Automated Cleaning Tool for Semantic and Linguistic Data)
 Implements several functions that automates the cleaning and spell-checking
 of text data. Also converges, finalizes, removes plurals and continuous
 strings, and puts text data in binary format for semantic network analysis.
 Uses the 'SemNetDictionaries' package to make the cleaning process more
 accurate, efficient, and reproducible.

Package: r-cran-semnetdictionaries
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3869
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-easycsv, r-cran-ggplot2, r-cran-gridextra, r-cran-htmltable, r-cran-knitr, r-cran-markdown, r-cran-patchwork, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyalert, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-semnetdictionaries_0.2.1-1.ca2004.1_all.deb
Size: 3440920
MD5sum: 77175db74664f158652794362c847f83
SHA1: a5281173097fbdab156f0a8e077dec7a437e4ba2
SHA256: 276c8bfed9b741da9d4b90e001ec538c09db44bcfb182026693e845f978e0b20
SHA512: 135b8c509a558d777bcdce361501883748c1d545c9413b2962141460759441d40a69a5d7faedb9d46a02549491e5e9f5e991d2f52e412e2214a0ed3ed741114b
Homepage: https://cran.r-project.org/package=SemNetDictionaries
Description: CRAN Package 'SemNetDictionaries' (Dictionaries for the 'SemNetCleaner' Package)
 Implements dictionaries that can be used in the 'SemNetCleaner' package.
 Also includes several functions aimed at facilitating the text cleaning
 analysis in the 'SemNetCleaner' package. This package is designed to
 integrate and update word lists and dictionaries based on each user's
 individual needs by allowing users to store and save their own dictionaries.
 Dictionaries can be added to the 'SemNetDictionaries' package by submitting
 user-defined dictionaries to
 <https://github.com/AlexChristensen/SemNetDictionaries>.

Package: r-cran-semnova
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-matrix, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semnova_0.1-6-1.ca2004.1_all.deb
Size: 115104
MD5sum: 735004bae1c709304b006bfbc41298f8
SHA1: a323d4b2fb0e6a6f1b3a5f5a0d95f62509d121bb
SHA256: 71fdbc849cb06fd532c02f6ad0cb971db137d3a058145e3b130b1625da3c8eb4
SHA512: aedf0caeb0514a59521eabea48d2ca5d8e4c6a7692bc2995ee9bd2e2ebcb9208c38282fc165ab41cd3fb1642c14883180c3c398ed6c999e69779df5c7cbcdeff
Homepage: https://cran.r-project.org/package=semnova
Description: CRAN Package 'semnova' (Latent Repeated Measures ANOVA)
 Latent repeated measures ANOVA (L-RM-ANOVA) is a structural equation
 modeling based alternative to traditional repeated measures ANOVA.
 L-RM-ANOVA extends the latent growth components approach by Mayer et al.
 (2012) <doi:10.1080/10705511.2012.713242> and introduces latent variables to
 repeated measures analysis.

Package: r-cran-semplot
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-qgraph, r-cran-lavaan, r-cran-sem, r-cran-plyr, r-cran-xml, r-cran-igraph, r-cran-lisreltor, r-cran-rockchalk, r-cran-colorspace, r-cran-corpcor, r-cran-openmx
Suggests: r-cran-mplusautomation
Filename: pool/dists/focal/main/r-cran-semplot_1.1.6-1.ca2004.1_all.deb
Size: 347924
MD5sum: f3936ad9e75d45c4387024584014f8be
SHA1: 8ae7f91844d82f05a1863ee81d2b5b837d2de2ec
SHA256: 0b7ef6a8b683b7e157db6bd1dfbf9ef5503155040a1b38bc9ea6ef6165db5f7c
SHA512: b2827c41d24d2725f1600886cf8f1240ff451bfe621ba5abd268c26066d3f8c29140af7c5f10e6076b2bb9776dab7c52c17d90088d81024598d5a7d1fac1424a
Homepage: https://cran.r-project.org/package=semPlot
Description: CRAN Package 'semPlot' (Path Diagrams and Visual Analysis of Various SEM Packages'Output)
 Path diagrams and visual analysis of various SEM packages' output.

Package: r-cran-sempower
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 951
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-bookdown, r-cran-covsim, r-cran-dofuture, r-cran-foreach, r-cran-future, r-cran-knitr, r-cran-lavaan, r-cran-mnonr, r-cran-progressr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sempower_2.1.1-1.ca2004.1_all.deb
Size: 914108
MD5sum: a8638b6d3593e07d723e5671ae3a1504
SHA1: 6a37fd6fbb564d6343197e1a89b1b5ae7119dd22
SHA256: 5bc9c5c7b3ca952e519f41ea71bea5a5390be6cb68bd424ec5b75ee77b163c7d
SHA512: dacb1b5a93452285453dd807be47cdc8dca09e73b3ef4cb5192533169119318261adf00f2e3f665117d9c44d2be6a6e71fe34f59db3ac7ff99260f4bf53c1d80
Homepage: https://cran.r-project.org/package=semPower
Description: CRAN Package 'semPower' (Power Analyses for SEM)
 Provides a-priori, post-hoc, and compromise power-analyses for structural
 equation models (SEM).

Package: r-cran-semptools
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1456
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-rlang, r-cran-semplot
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-semptools_0.3.1-1.ca2004.1_all.deb
Size: 969328
MD5sum: 10cf0f178090cb5d16cca81a03d6c484
SHA1: 39b3f8293bacdfe2703a3605c0575f0c60e3552a
SHA256: 07e1a82da336e042abcb6feb96f307a0b8b83dc06282593ec9876d111d239bb3
SHA512: edf8cddfc7d4b3aab0471cb49ef79f87ebc79c86bff541c6452d50fb0e3c005c2cf270c43fe2851ea4acada6135d5c88403f2e14a71a219e89700bb4ef63030b
Homepage: https://cran.r-project.org/package=semptools
Description: CRAN Package 'semptools' (Customizing Structural Equation Modelling Plots)
 Most function focus on specific ways to customize a graph.  They use a
 'qgraph' output as the first argument, and return a modified 'qgraph'
 object. This allows the functions to be chained by a pipe operator.

Package: r-cran-semrushr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semrushr_0.1.0-1.ca2004.1_all.deb
Size: 26100
MD5sum: 6ee69a2d7a3a97a6f1b90a821525a567
SHA1: 17c84217d441aafb9fb1d8cf2881ce7a7267501b
SHA256: f21a713f88726ec943c358f72f108dbb916ba491a026da153f3b459682d079a2
SHA512: 80897280feb7b88161b1cf0f1548a7cd187aab6be74adc857acc50cac0d6e55cbb682c11331c308d8201ed723783dcf88a6ca5f7c2a5e08be580e7b9661f02dc
Homepage: https://cran.r-project.org/package=SEMrushR
Description: CRAN Package 'SEMrushR' (R Interface to Access the 'SEMrush' API)
 Implements methods for querying SEO (Search Engine Optimization) and SEM
 (Search Engine Marketing) data from 'SEMrush' using its API
 (<https://fr.semrush.com/api-documentation/>).  'SEMrush' API uses a basic
 authentication with an API key.

Package: r-cran-semsens
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-semsens_1.5.5-1.ca2004.1_all.deb
Size: 187416
MD5sum: 7cb0d3439dad04e5e8aba82c19d1a544
SHA1: e597d151eb179c3a470ca9c0b8cf862386967485
SHA256: 7a20fb30991991a92e978a2d37b2578dfddba83d5e69b80ed44525d5c04e51cd
SHA512: 40bc2bda28b198d24b83d34022c1cf93ab0aee6f65903030e038e73fa97ab047924f581787cd3bc88ae932e503bf900f1dc144d7088ad92ab708fcf79cc8cf98
Homepage: https://cran.r-project.org/package=SEMsens
Description: CRAN Package 'SEMsens' (A Tool for Sensitivity Analysis in Structural Equation Modeling)
 Perform sensitivity analysis in structural equation modeling using
 meta-heuristic optimization methods (e.g., ant colony optimization and
 others).  The references for the proposed methods are: (1) Leite, W., &
 Shen, Z., Marcoulides, K., Fish, C., & Harring, J. (2022).
 <doi:10.1080/10705511.2021.1881786> (2) Harring, J. R., McNeish, D. M., &
 Hancock, G. R. (2017) <doi:10.1080/10705511.2018.1506925>; (3) Fisk, C.,
 Harring, J., Shen, Z., Leite, W., Suen, K., & Marcoulides, K.  (2022).
 <doi:10.1177/00131644211073121>; (4) Socha, K., & Dorigo, M. (2008)
 <doi:10.1016/j.ejor.2006.06.046>.  We also thank Dr. Krzysztof Socha for
 sharing his research on ant colony optimization algorithm with continuous
 domains and associated R code, which provided the base for the development
 of this package.

Package: r-cran-semsfa
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-np, r-cran-gamlss, r-cran-moments, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-semsfa_1.2-1.ca2004.1_all.deb
Size: 46812
MD5sum: 826a7841e0330de4a0e39191efc8ef82
SHA1: 7f892a43e1bddc0b750f5156a399fd17874ca085
SHA256: d2566d4f1993f6be2bc7dfa9d45873f2907c88208a014b140c37daa73184cdce
SHA512: 66d49a81c626a7760d0da19f28ca7e2c67fd583977ea2524952ccad9848a9203c4480a8d9d301ff9c96fbee2ce3299ee7d38d0218ae458e98a45ef16e53317eb
Homepage: https://cran.r-project.org/package=semsfa
Description: CRAN Package 'semsfa' (Semiparametric Estimation of Stochastic Frontier Models)
 Semiparametric Estimation of Stochastic Frontier Models following a two step
 procedure: in the first step semiparametric or nonparametric regression
 techniques are used to relax parametric restrictions of the functional form
 representing technology and in the second step variance parameters are
 obtained by pseudolikelihood estimators or by method of moments.

Package: r-cran-semtable
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 795
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kutils, r-cran-xtable, r-cran-lavaan, r-cran-plyr, r-cran-stationery
Suggests: r-cran-rockchalk
Filename: pool/dists/focal/main/r-cran-semtable_1.8-1.ca2004.1_all.deb
Size: 717024
MD5sum: ca6a06eddb1446f0c380efdc61404e8e
SHA1: 69720306f438ac08e1ea9892d04f05312b22a377
SHA256: 1101e75871271816da6389d05aea65c00bba27c8b161acbbfd0b6c8ac42aa3df
SHA512: 20a5bca5d14148783004db8451f0f5aea6c9ca07b1f83a5b82c29a72846077d623d081229a7e2134096fcb35276925780c863392f5b631e7ff8803cd3502cc4b
Homepage: https://cran.r-project.org/package=semTable
Description: CRAN Package 'semTable' (Structural Equation Modeling Tables)
 For confirmatory factor analysis ('CFA') and structural equation models
 ('SEM') estimated with the 'lavaan' package, this package provides functions
 to create model summary tables and model comparison tables for hypothesis
 testing. Tables can be produced in 'LaTeX', 'HTML', or comma separated
 variables ('CSV').

Package: r-cran-semtests
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lavaan, r-cran-compquadform, r-cran-progressr, r-cran-future.apply
Suggests: r-cran-covr, r-cran-testthat, r-cran-psych
Filename: pool/dists/focal/main/r-cran-semtests_0.5.0-1.ca2004.1_all.deb
Size: 101188
MD5sum: 952927a570ede6a4b8b6fe2b1e2720a1
SHA1: 9ff67da40d5525ffec4df3516e152cf68c994a68
SHA256: 4fa52e2c14020e031304f737d7be92a41a67b621c3ec317e4ef86ef3e798aa91
SHA512: f85eb29caae28ef752d6c435f986eab56273c168ea1975531e65196060e52f5f35ef04dd996ea3c685a9565f2109790b2894a0a42a715f0456d603bdc67cfa7e
Homepage: https://cran.r-project.org/package=semTests
Description: CRAN Package 'semTests' (Goodness-of-Fit Testing for Structural Equation Models)
 Supports eigenvalue block-averaging p-values (Foldnes, Grønneberg, 2018)
 <doi:10.1080/10705511.2017.1373021>, penalized eigenvalue block-averaging
 p-values (Foldnes, Moss, Grønneberg, WIP), penalized regression p-values
 (Foldnes, Moss, Grønneberg, WIP), as well as traditional p-values such as
 Satorra-Bentler. All p-values can be calculated using unbiased or biased
 gamma estimates (Du, Bentler, 2022) <doi:10.1080/10705511.2022.2063870> and
 two choices of chi square statistics.

Package: r-cran-semtools
Architecture: all
Version: 0.5-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2982
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-pbivnorm
Suggests: r-cran-amelia, r-cran-blavaan, r-cran-emmeans, r-cran-lavaan.mi, r-cran-mass, r-cran-mice, r-cran-mnormt, r-cran-restriktor, r-cran-testthat, r-cran-gparotation
Filename: pool/dists/focal/main/r-cran-semtools_0.5-7-1.ca2004.1_all.deb
Size: 2827160
MD5sum: 5a3f4039c3b8401c4a5112d03f96c794
SHA1: 2d9e5cbc54bee3b3ecc30f9439047fd604dc2b1b
SHA256: acd3cb63d106485c0517005d477670d506aea7593e3879a2992f58e4fe6e8c17
SHA512: a4b4c1230210c5b48f105668f88a0a9f4e90f4fd06753721cd99951b4caab3fbdf08fe02bc803e29e6826e29639f1284c991344261094e6f56162f561e470a1d
Homepage: https://cran.r-project.org/package=semTools
Description: CRAN Package 'semTools' (Useful Tools for Structural Equation Modeling)
 Provides miscellaneous tools for structural equation modeling, many of which
 extend the 'lavaan' package. For example, latent interactions can be
 estimated using product indicators (Lin et al., 2010,
 <doi:10.1080/10705511.2010.488999>) and simple effects probed; analytical
 power analyses can be conducted (Jak et al., 2021,
 <doi:10.3758/s13428-020-01479-0>); and scale reliability can be estimated
 based on estimated factor-model parameters.

Package: r-cran-semtree
Architecture: all
Version: 0.9.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-openmx, r-cran-rpart, r-cran-rpart.plot, r-cran-lavaan, r-cran-cluster, r-cran-ggplot2, r-cran-tidyr, r-cran-strucchange, r-cran-sandwich, r-cran-zoo, r-cran-crayon, r-cran-clisymbols, r-cran-future.apply, r-cran-data.table, r-cran-expm, r-cran-gridbase
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-viridis, r-cran-mass, r-cran-psychtools, r-cran-testthat, r-cran-future, r-cran-ctsemomx
Filename: pool/dists/focal/main/r-cran-semtree_0.9.20-1.ca2004.1_all.deb
Size: 723560
MD5sum: ac14eee9ff209021bf9cc9654f599150
SHA1: e756763e3b96729a75fd30069b3d25e8a31adbe4
SHA256: 3938810c43078325266c1f89e64a7c6f47209d399918eb37f1334e4a1f0d2b35
SHA512: 69f20d126f9010adc012f5cb48597567fb8da8e6a3690bb310b3c8f28c807e5109cecf7aa760a66a379c9e351080d8e4bc9b0bda213c2d5a80c0e52403fdab28
Homepage: https://cran.r-project.org/package=semtree
Description: CRAN Package 'semtree' (Recursive Partitioning for Structural Equation Models)
 SEM Trees and SEM Forests -- an extension of model-based decision trees and
 forests to Structural Equation Models (SEM). SEM trees hierarchically split
 empirical data into homogeneous groups each sharing similar data patterns
 with respect to a SEM by recursively selecting optimal predictors of these
 differences. SEM forests are an extension of SEM trees. They are ensembles
 of SEM trees each built on a random sample of the original data. By
 aggregating over a forest, we obtain measures of variable importance that
 are more robust than measures from single trees. A description of the method
 was published by Brandmaier, von Oertzen, McArdle, & Lindenberger (2013)
 <doi:10.1037/a0030001> and Arnold, Voelkle, & Brandmaier (2020)
 <doi:10.3389/fpsyg.2020.564403>.

Package: r-cran-semverutils
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-foreach
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-semverutils_0.1.0-1.ca2004.1_all.deb
Size: 48788
MD5sum: 923780fc57524cf5c9802c02e0603f48
SHA1: 59b1c80311ae6bee054f31704eea110b31981b7a
SHA256: 11f8df861b30997349fca79925c6e794a8df20437b8c8c33433e889ea3a5456c
SHA512: 8757b056f8577865c7dd8c4e656e26f3324c8b995c24773871e5d23dd158f2e5aacea58ad98dfa3fa8583efe58e3b8389fa2c75afd2cf1e5508afae72d620f85
Homepage: https://cran.r-project.org/package=semverutils
Description: CRAN Package 'semverutils' (Semantic Version Utilities)
 Semantic Versions allow for standardized management versions.  This package
 implements semantic versioning handling in R. using R6 to create a mutable
 object that can handle deciphering and checking versions.

Package: r-cran-sen2r
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-stars, r-cran-data.table, r-cran-raster, r-cran-xml, r-cran-jsonlite, r-cran-geojsonio, r-cran-foreach, r-cran-doparallel, r-cran-httr, r-cran-rcpptoml
Suggests: r-cran-leaflet, r-cran-leafpm, r-cran-mapedit, r-cran-s2, r-cran-shiny, r-cran-shinyfiles, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-cran-spelling, r-cran-httptest, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-sys, r-cran-units, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sen2r_1.6.0-1.ca2004.1_all.deb
Size: 2057252
MD5sum: 69116d61b8cf703e3164b8f69c61bdea
SHA1: b1a6ec2def8b8b74c33eed1eb8848270bc855144
SHA256: 397c7bac3300618994e8580591aa96a5cb10ea4dbbbdff5dd361e0a57f8b6b02
SHA512: 189ff3eb28eb0e939f9d45a03675837c143ddae48bcfcc0b55887cc8bb3ca24dd3a21f97f0890c4ac15cfc221042c313a4d9f98b80cdef80af5b41620a5718ec
Homepage: https://cran.r-project.org/package=sen2r
Description: CRAN Package 'sen2r' (Find, Download and Process Sentinel-2 Data)
 Functions to download Sentinel-2 optical images and perform preliminary
 processing operations.  'sen2r' provides the instruments required to easily
 perform (and eventually automate) the steps necessary to build a complete
 Sentinel-2 processing chain.  A Graphical User Interface to facilitate data
 processing is also provided.  For additional documentation refer to the
 following article: Ranghetti et al. (2020)
 <doi:10.1016/j.cageo.2020.104473>.

Package: r-cran-sendgridr
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-jsonlite, r-cran-usethis, r-cran-cli, r-cran-base64enc, r-cran-emayili, r-cran-keyring
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sendgridr_0.6.1-1.ca2004.1_all.deb
Size: 101660
MD5sum: 836b3ac95b4f5f8393bd9c2983fe3b6d
SHA1: 858d459a548a6b6024d73e8ca608b34e3657bbf3
SHA256: 51e754b597e27cc8a67b52ff96f0aa461ca7a9f1bcf5e9d65c2e6db53e885501
SHA512: 0982c99abfc6dbcad714c86754885e033f2467e9a5abc05ffa56b6c50d4a71744f95b52175d4e5b32ca080f2b62753ee54f194779cf0ea262a309ac9cb841017
Homepage: https://cran.r-project.org/package=sendgridr
Description: CRAN Package 'sendgridr' (Mail Sender Using 'Sendgrid' Service)
 Send email using 'Sendgrid' <https://sendgrid.com/> mail API(v3)
 <https://docs.sendgrid.com/api-reference/how-to-use-the-sendgrid-v3-api/authentication>.

Package: r-cran-sendigr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rsqlite, r-cran-data.table, r-cran-readxl, r-cran-magrittr, r-cran-xfun, r-cran-stringr, r-cran-desctools, r-cran-parsedate, r-cran-shiny, r-cran-shinydashboard, r-cran-htmltools, r-cran-dt, r-cran-dplyr, r-cran-ggplot2, r-cran-hmisc, r-cran-haven, r-cran-plotly, r-cran-cicerone, r-cran-reticulate, r-cran-sjlabelled
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-logr, r-cran-shinycssloaders, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sendigr_1.0.0-1.ca2004.1_all.deb
Size: 414728
MD5sum: 4dca17a4fea493fc937a17cc7826bd28
SHA1: f402d871835e4497a2c914af18248b3e7c865e00
SHA256: 76e2bdad3ef4f992784c300d57502b5cca50b68f68cd2595a5feb081d1ac0768
SHA512: 4518f4522fd2f50b5b0f074fb3a787f487818d1c73713ccdd51667302807b2b530f62cd5dda730229d9b00df63eda40cf58819ae0a348d64bf3490fb252ea63f
Homepage: https://cran.r-project.org/package=sendigR
Description: CRAN Package 'sendigR' (Enable Cross-Study Analysis of 'CDISC' 'SEND' Datasets)
 A system enables cross study Analysis by extracting and filtering study data
 for control animals from 'CDISC' 'SEND' Study Repository.  These data types
 are supported: Body Weights, Laboratory test results and Microscopic
 findings.  These database types are supported: 'SQLite' and 'Oracle'.

Package: r-cran-sendmailr
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-base64enc
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-sendmailr_1.4-0-1.ca2004.1_all.deb
Size: 57924
MD5sum: 7a57ccfa90fbc73f0247783f9e9263b4
SHA1: 2b2adfffd2787ef86ca8eccbae624d9487f17f20
SHA256: 660b80459515626b58e81da464994d23476a9f72cc89704226efea7cb931d7af
SHA512: b3083a7a188aceeedef308695790373acc7225695d4bce6ab47a39f9482432f528bd11956d18a14e0aa3c9223136a7868e2a5cf9cfbf108c1a628892cbbc56de
Homepage: https://cran.r-project.org/package=sendmailR
Description: CRAN Package 'sendmailR' (Send Email Using R)
 Package contains a simple SMTP client with minimal dependencies which
 provides a portable solution for sending email, including file attachments
 and inline html reports, from within R. SMTP Authentication and SSL/STARTTLS
 is implemented using curl.

Package: r-cran-sense
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlr3, r-cran-mlr3learners, r-cran-mlr3filters, r-cran-mlr3pipelines, r-cran-mlr3viz, r-cran-paradox, r-cran-mlr3tuning, r-cran-bbotk, r-cran-tictoc, r-cran-forcats, r-cran-readr, r-cran-lubridate, r-cran-purrr, r-cran-metrics, r-cran-data.table, r-cran-visnetwork
Suggests: r-cran-xgboost, r-cran-rpart, r-cran-ranger, r-cran-kknn, r-cran-glmnet, r-cran-e1071, r-cran-mlr3misc, r-cran-fselectorrcpp, r-cran-care, r-cran-praznik, r-cran-lme4, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-sense_1.1.0-1.ca2004.1_all.deb
Size: 48692
MD5sum: 3cff98f168cbe034211ce15d4867be1a
SHA1: ad3476a214252c78b58e3d8229e7bbc8189e5ce2
SHA256: 2aaec102a2331ecb05f2241c5bf5269dd5db5eaab17d219c16c003b93bf7b372
SHA512: 4fa63c90310b72b8ce3555661ea8bf9abbe8da04f59680ae8bc4e9c60f4a8bf463dc0cec3c60b498bf09f8d46fbae13575abfdefb605662e4f9ce6c7bff4203d
Homepage: https://cran.r-project.org/package=sense
Description: CRAN Package 'sense' (Automatic Stacked Ensemble for Regression Tasks)
 Stacked ensemble for regression tasks based on 'mlr3' framework with a
 pipeline for preprocessing numeric and factor features and hyper-parameter
 tuning using grid or random search.

Package: r-cran-sensemakr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1725
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-png, r-cran-stargazer, r-cran-fixest
Filename: pool/dists/focal/main/r-cran-sensemakr_0.1.6-1.ca2004.1_all.deb
Size: 1268320
MD5sum: e223522beb328df4e4debb8e31373df3
SHA1: 67d6cd6982895aa6b2fc1baa42f0bec41dfca5d7
SHA256: a8a15da6966bf6f9f7bd5b5b730d4096b5060ff76c24c29d089269c95c4041ff
SHA512: 343a76d60f1ba3c65061dcdabb996ed732a839cda739f8e7a4a5183fe0f5ca2264820584d56d6d2ccd020da5c39bf6d832778077aab93f4b94bc9a2958000390
Homepage: https://cran.r-project.org/package=sensemakr
Description: CRAN Package 'sensemakr' (Sensitivity Analysis Tools for Regression Models)
 Implements a suite of sensitivity analysis tools that extends the
 traditional omitted variable bias framework and makes it easier to
 understand the impact of omitted variables in regression models, as
 discussed in Cinelli, C. and Hazlett, C. (2020), "Making Sense of
 Sensitivity: Extending Omitted Variable Bias." Journal of the Royal
 Statistical Society, Series B (Statistical Methodology)
 <doi:10.1111/rssb.12348>.

Package: r-cran-sensibo.sky
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-glue
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sensibo.sky_1.0.0-1.ca2004.1_all.deb
Size: 37448
MD5sum: 44e387246846d4f46da0522a64a64912
SHA1: 18054fcdb807881ede9cee4b179b7b50676b6c67
SHA256: 6fcc4c04d2f6a0573ba11c96261ff28050a13f9222d54d58e9e76b7476cbb2f8
SHA512: aa618ce1dfb1d4e5b0575b1d0b9e2128a77b40be1b829ae4b8bc3a99661f84718ac8a1c106f606b4e3b13d08d918f27e0b3a19f82fde6842a1723b7e715edf23
Homepage: https://cran.r-project.org/package=sensibo.sky
Description: CRAN Package 'sensibo.sky' (Access to 'Sensibo Sky' API V2 for Air Conditioners RemoteControl)
 Provides an interface to the 'Sensibo Sky' API which allows to remotely
 control non-smart air conditioning units.  See <https://sensibo.com> for
 more informations.

Package: r-cran-sensiphy
Architecture: all
Version: 0.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1349
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-phylolm, r-cran-ggplot2, r-cran-caper, r-cran-phytools, r-cran-geiger
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sensiphy_0.8.5-1.ca2004.1_all.deb
Size: 1118648
MD5sum: 3f94304503e32b6d9b95c3e2482b94de
SHA1: 8c6c1959ff80cb7f8dcb2a14880876f6a1032218
SHA256: baf01d61e2308ed9b3972e87d5eb4fe906fb06e81ff2a7b36289b6d510864dff
SHA512: 64be8cfd208728106f3d99e65efd6b3ebec54b08d44dbac8b2afc6071433f80e14f3fab5f4203ddf26151c0d1aae1f7dfaf282d9fd38d9fc2b39097dc6cded3c
Homepage: https://cran.r-project.org/package=sensiPhy
Description: CRAN Package 'sensiPhy' (Sensitivity Analysis for Comparative Methods)
 An implementation of sensitivity analysis for phylogenetic comparative
 methods. The package is an umbrella of statistical and graphical methods
 that estimate and report different types of uncertainty in PCM: (i) Species
 Sampling uncertainty (sample size; influential species and clades).  (ii)
 Phylogenetic uncertainty (different topologies and/or branch lengths).
 (iii) Data uncertainty (intraspecific variation and measurement error).

Package: r-cran-sensitivity2x2xk
Architecture: all
Version: 1.01-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sensitivity2x2xk_1.01-1.ca2004.1_all.deb
Size: 66060
MD5sum: 944daa006fa14750155bc039c43c334e
SHA1: 136c825eeb6a973f2241e667c48e33bd402ba7a8
SHA256: a2919e2259ddd0c4c041f0ecc7ea6929731c07352f7df8d6e1c6d35ac65bb33f
SHA512: d870b728389835a3b6dcc6d9127c1d86cca51e2a1984fcd4decf33682295f6b58fbddd9e6b41c6aa6155c022c7c382592b9ac7a06a6b70cd58c73e449280f8c4
Homepage: https://cran.r-project.org/package=sensitivity2x2xk
Description: CRAN Package 'sensitivity2x2xk' (Sensitivity Analysis for 2x2xk Tables in Observational Studies)
 Performs exact or approximate adaptive or nonadaptive
 Cochran-Mantel-Haenszel-Birch tests and sensitivity analyses for one or two
 2x2xk tables in observational studies.

Package: r-cran-sensitivitycalibration
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-relaimpo, r-cran-splitstackshape, r-cran-ggrepel, r-cran-stringi, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-sensitivitycalibration_0.0.1-1.ca2004.1_all.deb
Size: 114764
MD5sum: e92a176a69ebf6a41a2bbf22cac7c976
SHA1: 1c62d95d01380c76d6b4b558bdaa5ef8589f7ba2
SHA256: ad036fb636e72bb302c920a859586022b412ba45de9516cbe05a532898d0c37b
SHA512: 68b97de242b444eb7abec0c8ab9844025938faea5b90a2b392fb81d9cc9f39b07865dbb23ced5d1cc8d0c9945d61ebd44d1ca15980306f3a05f91a9ad7c9ada5
Homepage: https://cran.r-project.org/package=sensitivityCalibration
Description: CRAN Package 'sensitivityCalibration' (A Calibrated Sensitivity Analysis for Matched ObservationalStudies)
 Implements the calibrated sensitivity analysis approach for matched
 observational studies. Our sensitivity analysis framework views matched sets
 as drawn from a super-population. The unmeasured confounder is modeled as a
 random variable. We combine matching and model-based covariate-adjustment
 methods to estimate the treatment effect. The hypothesized unmeasured
 confounder enters the picture as a missing covariate. We adopt a
 state-of-art Expectation Maximization (EM) algorithm to handle this missing
 covariate problem in generalized linear models (GLMs). As our method also
 estimates the effect of each observed covariate on the outcome and treatment
 assignment, we are able to calibrate the unmeasured confounder to observed
 covariates.  Zhang, B., Small, D. S. (2018). <arXiv:1812.00215>.

Package: r-cran-sensitivitycasecontrol
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sensitivitycasecontrol_2.2-1.ca2004.1_all.deb
Size: 50756
MD5sum: 9ddee52e9ea0c09634f559104a872fec
SHA1: bd03e8cba85c824be0b4b19a1768178dc1cf6664
SHA256: e7fef1d0df00eeabecaa367a4ee1bbbaf61e4b9070ae50138cfeeb45fc40236d
SHA512: d491d45f19cef7c2edb89f4a374686a6d8d5d578fba795866dc1135be9d029f35e29a06e4c0bba638ae3ab5ec66831f93953fb6cd47b26389ce6e56f2f8dfba7
Homepage: https://cran.r-project.org/package=SensitivityCaseControl
Description: CRAN Package 'SensitivityCaseControl' (Sensitivity Analysis for Case-Control Studies)
 Sensitivity analysis for case-control studies in which some cases may meet a
 more narrow definition of being a case compared to other cases which only
 meet a broad definition.  The sensitivity analyses are described in Small,
 Cheng, Halloran and Rosenbaum (2013, "Case Definition and Sensitivity
 Analysis", Journal of the American Statistical Association, 1457-1468).  The
 functions sens.analysis.mh and sens.analysis.aberrant.rank provide
 sensitivity analyses based on the Mantel-Haenszel test statistic and
 aberrant rank test statistic as described in Rosenbaum (1991, "Sensitivity
 Analysis for Matched Case Control Studies", Biometrics); see also Section 1
 of Small et al.  The function adaptive.case.test provides adaptive
 inferences as described in Section 5 of Small et al.  The function
 adaptive.noether.brown provides a sensitivity analysis for a matched cohort
 study based on an adaptive test.  The other functions in the package are
 internal functions.

Package: r-cran-sensitivityfull
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sensitivityfull_1.5.6-1.ca2004.1_all.deb
Size: 45628
MD5sum: fa50c587f7aea46bcefa684f886fed17
SHA1: a8950940a18fa3fdab62d2484de83714c5e0aed6
SHA256: f9896d4e88387ca05295f1f125232aea720791446b42b8a591205fda0467833f
SHA512: e2ccc84947646c4a6387b250530bda97bfb505ead0f841f7298b63ae874189d23c70a46f1bb6767a8aeea35daee7d2f95622a5124c4363b22b7c7ae30141c5c8
Homepage: https://cran.r-project.org/package=sensitivityfull
Description: CRAN Package 'sensitivityfull' (Sensitivity Analysis for Full Matching in Observational Studies)
 Sensitivity to unmeasured biases in an observational study that is a full
 match.  Function senfm() performs tests and function senfmCI() creates
 confidence intervals.  The method uses Huber's M-statistics, including least
 squares, and is described in Rosenbaum (2007, Biometrics)
 <DOI:10.1111/j.1541-0420.2006.00717.x>.

Package: r-cran-sensitivitymult
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sensitivitymult_1.0.2-1.ca2004.1_all.deb
Size: 125032
MD5sum: 60958291867ea767e27eecbabb3b0c40
SHA1: f7dffe31de05ef6eb3b11afc9eef03c25df370a4
SHA256: bba69436bc61d37dd0a97e0018faef0cf0f077772e8d2e5e00d1068331a6a8d4
SHA512: bb1a7c7936314c0e669433987dd50f9b2ee0077a664ffab1390880713ea5e5a32a51a81eea06ed9685210dc1be4627d33696560423207668bceb2ebdf5bf119b
Homepage: https://cran.r-project.org/package=sensitivitymult
Description: CRAN Package 'sensitivitymult' (Sensitivity Analysis for Observational Studies with MultipleOutcomes)
 Sensitivity analysis for multiple outcomes in observational studies.  For
 instance, all linear combinations of several outcomes may be explored using
 Scheffe projections in the comparison() function; see Rosenbaum (2016,
 Annals of Applied Statistics) <doi:10.1214/16-AOAS942>.  Alternatively,
 attention may focus on a few principal components in the principal()
 function.  The package includes parallel methods for individual outcomes,
 including tests in the senm() function and confidence intervals in the
 senmCI() function.

Package: r-cran-sensitivitymv
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sensitivitymv_1.4.4-1.ca2004.1_all.deb
Size: 76040
MD5sum: ac312e6471848f1882defe3911dbb03f
SHA1: 2cd33915057144d9098a49d261bae6e49442b3c2
SHA256: 4b2cf7bc68516bd97efca043a6ea37d037d3822e17deac72a2d958331227025c
SHA512: c02b3ec551809c47f0d3ffd7a23a5b29aad36cb3edbcfa1bf2723a02a144572ca7508137033f951146485cc6fc6add2405d008b8a53f7ea917f2e3a7d988fc12
Homepage: https://cran.r-project.org/package=sensitivitymv
Description: CRAN Package 'sensitivitymv' (Sensitivity Analysis in Observational Studies)
 The package performs a sensitivity analysis in an observational study using
 an M-statistic, for instance, the mean.  The main function in the package is
 senmv(), but amplify() and truncatedP() are also useful.  The method is
 developed in Rosenbaum Biometrics, 2007, 63, 456-464,
 <doi:10.1111/j.1541-0420.2006.00717.x>.

Package: r-cran-sensitivitymw
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sensitivitymw_2.1-1.ca2004.1_all.deb
Size: 59472
MD5sum: 4b93f55b922121c723fa8cd30a16a463
SHA1: 16e19f4af1a5a897e7ff29c96899e6979e840469
SHA256: a5bb0e9e4c5830efadadc913db6eeb79a0bff17ecb06a0493e99a213bbfcead6
SHA512: 39026666aefeb270060c7651fbda537d15e4f432ea0815668c47183d5642c8dde5dc6f2f8a2150d47f306316a42287c44ace10974961f9d075dc4267bafd10f8
Homepage: https://cran.r-project.org/package=sensitivitymw
Description: CRAN Package 'sensitivitymw' (Sensitivity Analysis for Observational Studies Using WeightedM-Statistics)
 Sensitivity analysis for tests, confidence intervals and estimates in
 matched observational studies with one or more controls using weighted or
 unweighted Huber-Maritz M-tests (including the permutational t-test).  The
 method is from Rosenbaum (2014) Weighted M-statistics with superior design
 sensitivity in matched observational studies with multiple controls JASA,
 109(507), 1145-1158 <doi:10.1080/01621459.2013.879261>.

Package: r-cran-sensmap
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-doby, r-cran-lattice, r-cran-factominer, r-cran-mcmcpack, r-cran-factoextra, r-cran-fields, r-cran-ggdendro, r-cran-glmulti, r-cran-mgcv, r-cran-plotly, r-cran-shiny, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sensmap_0.7-1.ca2004.1_all.deb
Size: 119192
MD5sum: f1e9659bb33f85dce571e0e0ff74955a
SHA1: 8b9fbed4a92b231cacfeaac853481e47a0b31eed
SHA256: d604e5509c25299e6b15169d337b91c5cd457ceee42ff884e4f10ac2b9becb48
SHA512: f55e3797bfa58e216036e2e1e38f08345af50b79909a74e34550e6b284ff419224923e9699761e78f96f4823838c457274834e3e5c905624ef431a119f9a3993
Homepage: https://cran.r-project.org/package=SensMap
Description: CRAN Package 'SensMap' (Sensory and Consumer Data Mapping)
 Provides Sensory and Consumer Data mapping and analysis
 <doi:10.14569/IJACSA.2017.081266>. The mapping visualization is made
 available from several features : options in dimension reduction methods and
 prediction models ranging from linear to non linear regressions. A smoothed
 version of the map performed using locally weighted regression algorithm is
 available. A selection process of map stability is provided. A 'shiny'
 application is included.  It presents an easy GUI for the implemented
 functions as well as a comparative tool of fit models using several
 criteria. Basic analysis such as characterization of products, panelists and
 sessions likewise consumer segmentation are also made available.

Package: r-cran-sensmediation
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-maxlik, r-cran-mvtnorm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sensmediation_0.3.1-1.ca2004.1_all.deb
Size: 233864
MD5sum: a07d27039a0df10581da176c512dc1de
SHA1: 45f4bdd890d3c67147c319b35f8ff7fb53d061cc
SHA256: 75876b9a9e4d95618c4f3d50568c68bb0fea656e63f7d9d8bca4fcc1adb03c78
SHA512: 6ac2336191dcf9044aed035088df40523634c70bed16113562254f27a8bd875d751d4040697538a9ece86798f300fa247434c3386d4998c2196e787d06e5ca84
Homepage: https://cran.r-project.org/package=sensmediation
Description: CRAN Package 'sensmediation' (Parametric Estimation and Sensitivity Analysis of Direct andIndirect Effects)
 We implement functions to estimate and perform sensitivity analysis to
 unobserved confounding of direct and indirect effects introduced in
 Lindmark, de Luna and Eriksson (2018) <doi:10.1002/sim.7620> and Lindmark
 (2022) <doi:10.1007/s10260-021-00611-4>. The estimation and sensitivity
 analysis are parametric, based on probit and/or linear regression models.
 Sensitivity analysis is implemented for unobserved confounding of the
 exposure-mediator, mediator-outcome and exposure-outcome relationships.

Package: r-cran-sensominer
Architecture: all
Version: 1.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1053
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cluster, r-cran-kernsmooth, r-cran-ggplot2, r-cran-reshape2, r-cran-algdesign, r-cran-gtools, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-sensominer_1.27-1.ca2004.1_all.deb
Size: 996340
MD5sum: b5b379854ef5c1ddae943c901a7fc673
SHA1: 42295f5b6895936fcb553b969eb1ed11206fb9cd
SHA256: 0866eb9c20a04148308e69d0beb63bff02f88274bbd06366a43dbf053f547373
SHA512: 4ab80fd1a26b5f7e85e48c52a5fc5d67c5e8f9f2d9b3e7a22c07be05c351918e243c2f431c8b4416930bcbe46806acd06fe4f2c0ba93d58cd5fb37bd66f95d24
Homepage: https://cran.r-project.org/package=SensoMineR
Description: CRAN Package 'SensoMineR' (Sensory Data Analysis)
 Statistical Methods to Analyse Sensory Data. SensoMineR: A package for
 sensory data analysis. S. Le and F. Husson (2008).

Package: r-cran-sensory
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-gtools, r-cran-mass
Filename: pool/dists/focal/main/r-cran-sensory_1.1-1.ca2004.1_all.deb
Size: 77700
MD5sum: e8f04dbb8736bc2c7be7a7c12004f1cd
SHA1: aa21d8ec45637c425295f336225f16ce46c07b5d
SHA256: 2c83e50e0e3c14ba816567ca0a5ca429e34bdcfc5562bd795b7b573e62f8b49c
SHA512: 32b769b3173821ca65f52525fb10338f0fe101c97e2986c3a137fb046c68f2b35fa7ed3f9dcba18687c6232b4b6de9f301e93238683644aca877c65739396885
Homepage: https://cran.r-project.org/package=sensory
Description: CRAN Package 'sensory' (Simultaneous Model-Based Clustering and Imputation via aProgressive Expectation-Maximization Algorithm)
 Contains the function CUUimpute() which performs model-based clustering and
 imputation simultaneously.

Package: r-cran-sensr
Architecture: all
Version: 1.5-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1292
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-multcomp, r-cran-mass, r-cran-numderiv
Suggests: r-cran-ordinal, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sensr_1.5-3-1.ca2004.1_all.deb
Size: 992652
MD5sum: 64336144930a33a1512af367bef65d3d
SHA1: da6b8de65a26ce02ae8328195ce815d35218c4b1
SHA256: 162fb852434330143b482dcd143d16a04582d6ed304b6f39536599270ebf61b2
SHA512: 92928474aa14b2ddd7d2181e0bf7f5ac832ff39f58ad66b6b471ed5d0648a976fcd8d17d467510fe15e09356f2aed705e99bde647d62205625e054220ae95919
Homepage: https://cran.r-project.org/package=sensR
Description: CRAN Package 'sensR' (Thurstonian Models for Sensory Discrimination)
 Provides methods for sensory discrimination methods; duotrio, tetrad,
 triangle, 2-AFC, 3-AFC, A-not A, same-different, 2-AC and
 degree-of-difference.  This enables the calculation of d-primes, standard
 errors of d-primes, sample size and power computations, and comparisons of
 different d-primes. Methods for profile likelihood confidence intervals and
 plotting are included. Most methods are described in Brockhoff, P.B. and
 Christensen, R.H.B. (2010) <doi:10.1016/j.foodqual.2009.04.003>.

Package: r-cran-sensrivastava
Architecture: all
Version: 2015.6.25.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-leaps, r-cran-car
Filename: pool/dists/focal/main/r-cran-sensrivastava_2015.6.25.1-1.ca2004.1_all.deb
Size: 145820
MD5sum: edd2319dac28134fd0a6e6535b01cd7b
SHA1: 8114181852e98696498fa953872b642669ca7f91
SHA256: 938d9ee42ff02c650ce19e9fb3e6949dedb99d15ad1c24dcf11dee91672d1701
SHA512: a2042db5a3ee46323400f67e6b39c569a4afa531c041a98ba1e39e23a1b3cc5670fa8ce7278a61f09c6375b2294311adef0d42a491c6120411205aaf81b4310e
Homepage: https://cran.r-project.org/package=SenSrivastava
Description: CRAN Package 'SenSrivastava' (Datasets from Sen & Srivastava)
 Collection of datasets from Sen & Srivastava: "Regression Analysis, Theory,
 Methods and Applications", Springer.  Sources for individual data files are
 more fully documented in the book.

Package: r-cran-senstrat
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn, r-cran-mass
Suggests: r-cran-sensitivitymw
Filename: pool/dists/focal/main/r-cran-senstrat_1.0.3-1.ca2004.1_all.deb
Size: 94960
MD5sum: 02a2c0f5dd6370ed24593e62d8dfd6ee
SHA1: 9e034663a75e0bd5cb7680ddbceb9821a81f06c2
SHA256: fda338ec2c7fecf68902a46c3c11688b9752bd5e4cf4bb23dc01bedcbbade4be
SHA512: f00920a732a6204b2a68b7566bd7476b6fc0a991a1254cc7618248b5b56ae549842eb173c131b05909f2e8595eb6cdf0b8228767f0adbd0a24c293e58c95f1e0
Homepage: https://cran.r-project.org/package=senstrat
Description: CRAN Package 'senstrat' (Sensitivity Analysis for Stratified Observational Studies)
 Sensitivity analysis in unmatched observational studies, with or without
 strata.  The main functions are sen2sample() and senstrat().  See Rosenbaum,
 P. R. and Krieger, A. M. (1990), JASA, 85, 493-498,
 <doi:10.1080/01621459.1990.10476226> and Gastwirth, Krieger and Rosenbaum
 (2000), JRSS-B, 62, 545–555 <doi:10.1111/1467-9868.00249> .

Package: r-cran-sensusr
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 757
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-lubridate, r-cran-plyr, r-cran-ggmap, r-cran-ggplot2, r-cran-r.utils, r-cran-openssl
Filename: pool/dists/focal/main/r-cran-sensusr_2.3.1-1.ca2004.1_all.deb
Size: 301888
MD5sum: a563e64df174782cd4c28880c24f5622
SHA1: 2f560142396871010153623eb19ee6f4d5348311
SHA256: 0e0c9415eec39d36744dac7e598a1e8b76c44017bf387c58232cd325982e18b8
SHA512: 18b5944e34bed6068ff31054ec78a2c681dd5a010721c2f8839cd8bd09146ead4e50a7bc753610b5809f7b166529ce7e53e9e1e09f80a1c93b22ac7422d436ad
Homepage: https://cran.r-project.org/package=SensusR
Description: CRAN Package 'SensusR' (Sensus Analytics)
 Provides access and analytic functions for Sensus data.

Package: r-cran-sentiment.ai
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 968
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-jsonlite, r-cran-reticulate, r-cran-roperators, r-cran-tensorflow, r-cran-tfhub, r-cran-xgboost
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-magrittr, r-cran-microbenchmark, r-cran-prettydoc, r-cran-rappdirs, r-cran-rstudioapi, r-cran-text2vec
Filename: pool/dists/focal/main/r-cran-sentiment.ai_0.1.1-1.ca2004.1_all.deb
Size: 871752
MD5sum: 96224d0982a2c0a1b589d6309cf52e24
SHA1: 2dda2aa0032925d14ac3b78316d01352280d7b1a
SHA256: 20fe02da1893fe382a624b3761b6a2a2d56d7ad18cdfd39b17b9f6f4265b4055
SHA512: 55c4d634b429093a6168d3f8e31cb1d4b9ee8024c88a59ed3b6a6e7ad65ae8119e393592303790fad43586946106d62fdc81021faed3d4cf84e0219e73025f55
Homepage: https://cran.r-project.org/package=sentiment.ai
Description: CRAN Package 'sentiment.ai' (Simple Sentiment Analysis Using Deep Learning)
 Sentiment Analysis via deep learning and gradient boosting models with a lot
 of the underlying hassle taken care of to make the process as simple as
 possible.  In addition to out-performing traditional, lexicon-based
 sentiment analysis (see
 <https://benwiseman.github.io/sentiment.ai/#Benchmarks>), it also allows the
 user to create embedding vectors for text which can be used in other
 analyses.  GPU acceleration is supported on Windows and Linux.

Package: r-cran-sentimentanalysis
Architecture: all
Version: 1.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tm, r-cran-qdapdictionaries, r-cran-ngramrr, r-cran-moments, r-cran-stringdist, r-cran-glmnet, r-cran-spikeslab, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-snowballc, r-cran-xml, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-sentimentanalysis_1.3-5-1.ca2004.1_all.deb
Size: 251224
MD5sum: b16bd23b4448b202a01478625de8c273
SHA1: e9bcc628a9d98484fd37c254f8d2f094abeef273
SHA256: 8b3f4aa6c0e878b32c08b176d8cb4e69283be7f75885eb203b7b2aca3aea0438
SHA512: 53db42606a0345748674bcbde797995d9270637ace3e1f9bc77c72f8c5eb5874edc509d89522910e9ae74c30728432be6412d237252441029e4589df3d280e17
Homepage: https://cran.r-project.org/package=SentimentAnalysis
Description: CRAN Package 'SentimentAnalysis' (Dictionary-Based Sentiment Analysis)
 Performs a sentiment analysis of textual contents in R. This implementation
 utilizes various existing dictionaries, such as Harvard IV, or
 finance-specific dictionaries. Furthermore, it can also create customized
 dictionaries. The latter uses LASSO regularization as a statistical approach
 to select relevant terms based on an exogenous response variable.

Package: r-cran-sentimentr
Architecture: all
Version: 2.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3968
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-lexicon, r-cran-stringi, r-cran-syuzhet, r-cran-textclean, r-cran-textshape
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sentimentr_2.9.0-1.ca2004.1_all.deb
Size: 3979248
MD5sum: fcdd2a3aacfd8bee3fe9f9a0d7fef75c
SHA1: c04569236a23959bb91f6f73aaad850aac31d832
SHA256: b332a4c683cf9edb50bd3a1f9f2f04c393ce72e2eb986ffa21a7706b74941505
SHA512: 34a364c7d2d533916a526997d2285500843ca2203ca29d2a9eb77206b42578ef18a7339cf0f28f17c0bd951a82eeb9c84c6f3f8669d5d2a37173a604a68a79c5
Homepage: https://cran.r-project.org/package=sentimentr
Description: CRAN Package 'sentimentr' (Calculate Text Polarity Sentiment)
 Calculate text polarity sentiment at the sentence level and optionally
 aggregate by rows or grouping variable(s).

Package: r-cran-sentinmixt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dosnow, r-cran-foreach, r-cran-snow, r-cran-tsdist, r-cran-tidyr, r-cran-data.table, r-cran-expint, r-cran-zipfr, r-cran-mclust, r-cran-rlist, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sentinmixt_1.0.0-1.ca2004.1_all.deb
Size: 127612
MD5sum: 0c7fefaa9ef5a51e830f08d960b3dca5
SHA1: c34f04c32f15fddd44a445b7245832851a2b242c
SHA256: 62252b0d98132244ddbfd5ea1a4d997a67383477d7445f74d2c34a1f688946f2
SHA512: a9f6ed1512289079e33a3a78b5c726c9a55fd8314bc12b76f466936350cb1df2fae38208cdce4645f579738248293bdd60b3b13fb52817147ef07f6a603daddd
Homepage: https://cran.r-project.org/package=SenTinMixt
Description: CRAN Package 'SenTinMixt' (Parsimonious Mixtures of MSEN and MTIN Distributions)
 Implements parsimonious mixtures of MSEN and MTIN distributions via
 expectation- maximization based algorithms for model-based clustering. For
 each mixture component, parsimony is reached via the eigen-decomposition of
 the scale matrices and by imposing a constraint on the tailedness parameter.
 This produces a family of 28 parsimonious mixture models for each
 distribution.

Package: r-cran-sentryr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringr, r-cran-tibble, r-cran-uuid
Suggests: r-cran-httptest, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sentryr_1.1.2-1.ca2004.1_all.deb
Size: 316412
MD5sum: ab4457d1da104d51e84138c61e47363a
SHA1: 52709c4eda27510ea4c0acb790ef548cd17de278
SHA256: de55258a79be2e63b5d894b0cd02f34b727314a5949e72321354ac7e9d3c8853
SHA512: 2d551064a0f793aa42b730a762be5cbbfa2ad7bffd3ac0d82c4565e06848dd19942b4d74e5d853f489767b8cd8b78a673432a95b555d55a1c740eafaf397d865
Homepage: https://cran.r-project.org/package=sentryR
Description: CRAN Package 'sentryR' (Send Errors and Messages to Sentry)
 Unofficial client for 'Sentry' <https://sentry.io>, a self-hosted or
 cloud-based error-monitoring service. It will inform about errors in
 real-time, and includes integration with the 'Plumber' package.

Package: r-cran-seofm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seofm_0.1.0-1.ca2004.1_all.deb
Size: 12964
MD5sum: 60976d522c2e9ae2be92bb8b3b14972f
SHA1: bcfcafa1d86e44f37c1bd24d575ad2440408f66e
SHA256: 18a9e7b209c1e0899df951b2146749837db23040fac7138f52d5db0081f41b43
SHA512: d19b6e7e8e9ed30d8432c8c85641840ebf0b38fa822f39e867112b9c061778a0618b4b5fe3ae08d793570b63750f8dbe90b4d8ead06dc13d73e6504985741359
Homepage: https://cran.r-project.org/package=SEofM
Description: CRAN Package 'SEofM' (Standard Error of Measurement)
 To calculate the standard error of measurement (SEM) to assess the observer
 variability (inter- and intra-observer variation).  The methods used in this
 package are referenced from Zoran B. Popović (2017)
 <doi:10.21037/cdt.2017.03.12>.

Package: r-cran-sepals
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sepals_0.1.0-1.ca2004.1_all.deb
Size: 307228
MD5sum: 3cdc7dc68e3f66e5545bc109ac4028e2
SHA1: e4031182d6c0925971f822e165c2159628b5e97e
SHA256: f50324712a0b2c6dea632ad7f01541282a3323ddd3b14f1aa603351144ebb572
SHA512: a70e47853be9b3d1b6e8f01b81f3f3be3f4e4e8a2fd5f0eb55b2737759a79cd5a43e3e39cd59eb1f768b14a38b1cedcfeed391511008243881b95a0303dd1a73
Homepage: https://cran.r-project.org/package=SEPaLS
Description: CRAN Package 'SEPaLS' (Shrinkage for Extreme Partial Least-Squares (SEPaLS))
 Regression context for the Partial Least Squares framework for Extreme
 values. Estimations of the Shrinkage for Extreme Partial Least-Squares
 (SEPaLS) estimators, an adaptation of the original Partial Least Squares
 (PLS) method tailored to the extreme-value framework.  The SEPaLS project is
 a joint work by Stephane Girard, Hadrien Lorenzo and Julyan Arbel.  R code
 to replicate the results of the paper is available at
 <https://github.com/hlorenzo/SEPaLS_simus>.  Extremes within PLS was already
 studied by one of the authors, see M Bousebeta, G Enjolras, S Girard (2023)
 <doi:10.1016/j.jmva.2022.105101>.

Package: r-cran-separate
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-separate_0.3.2-1.ca2004.1_all.deb
Size: 68040
MD5sum: 50502657b391cf35be54ed5755f82900
SHA1: e3aa61c7ff7a122a76ba5b15766e33cfb35167fc
SHA256: 7b6fa5b9154da8e28e9415ecd333d60c7c0d3977a2c1e0faacd7c7047d0ff95d
SHA512: f7514c3782cf950d498baa3898fa773828a5b1904f06fd7f822dd31f6c31cec63e03edf58dea273075ac36cb89c5ddf88b3c09de0c2de1904ec0ddbb7f44d814
Homepage: https://cran.r-project.org/package=sEparaTe
Description: CRAN Package 'sEparaTe' (Maximum Likelihood Estimation and Likelihood Ratio TestFunctions for Separable Variance-Covariance Structures)
 Maximum likelihood estimation of the parameters of matrix and 3rd-order
 tensor normal distributions with unstructured factor variance covariance
 matrices, two procedures, and for unbiased modified likelihood ratio testing
 of simple and double separability for variance-covariance structures, two
 procedures. References: Dutilleul P. (1999) <doi:10.1080/00949659908811970>,
 Manceur AM, Dutilleul P. (2013) <doi:10.1016/j.cam.2012.09.017>, and Manceur
 AM, Dutilleul P. (2013) <doi:10.1016/j.spl.2012.10.020>.

Package: r-cran-separationplot
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcolorbrewer, r-cran-hmisc, r-cran-mass, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-separationplot_1.4-1.ca2004.1_all.deb
Size: 34436
MD5sum: 9181513bb7bf8580927b97db53fd8a09
SHA1: 9b46e3ace8d94043eb0cb8d83c722a171295bcc0
SHA256: 2bfe3dd3d390a66e2ae07e46a4b127d23b4cd053cd792807f76ad42ea644edc6
SHA512: da2012c1fb9bd69d95f6e92d792504225353d37dccac714ff35b178d2133a4cb2914d6bc7e9c32d0eb4b455aefeacc6a963a3a70e6a061ad255eb61393a81efc
Homepage: https://cran.r-project.org/package=separationplot
Description: CRAN Package 'separationplot' (Separation Plots)
 Visual representations of model fit or predictive success in the form of
 "separation plots."  See Greenhill, Brian, Michael D. Ward, and Audrey
 Sacks. "The separation plot: A new visual method for evaluating the fit of
 binary models." American Journal of Political Science 55.4 (2011): 991-1002.

Package: r-cran-sephora
Architecture: all
Version: 0.1.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 467
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-geots, r-cran-ebsc, r-cran-rootsolve, r-cran-dtwclust, r-cran-foreach, r-cran-doparallel, r-cran-dplyr, r-cran-nlme, r-cran-mass, r-cran-ggnewscale, r-cran-spiralize
Suggests: r-cran-tsclust, r-cran-bigmemory, r-cran-vcd
Filename: pool/dists/focal/main/r-cran-sephora_0.1.31-1.ca2004.1_all.deb
Size: 358344
MD5sum: 3a8fc1d8dff044c2f7ccbb9268ad8e0f
SHA1: e8ebe2fc9fb02220d0728ea6f77afadd59e345ab
SHA256: baedd675f4bcd4b54ee4509762cde37e71b857bf9c93201ceae1ba1d6cb15261
SHA512: 8ad9e85bc7d9f7e5dc5b7bc3e14c1dbad1e63584f7b20672f1dfd94ec21bd4600bd3a66f76c63c30207ba07b2517bb536b6faa1782acbdf1d16765c3d902c209
Homepage: https://cran.r-project.org/package=sephora
Description: CRAN Package 'sephora' (Statistical Estimation of Phenological Parameters)
 Provides functions and methods for estimating phenological dates (green up,
 start of a season, maturity, senescence, end of a season and dormancy) from
 (nearly) periodic Earth Observation time series. These dates are critical
 points of some derivatives of an idealized curve which, in turn, is obtained
 through a functional principal component analysis-based regression model.
 Some of the methods implemented here are based on T. Krivobokova, P. Serra
 and F. Rosales (2022)
 <https://www.sciencedirect.com/science/article/pii/S0167947322000998>.
 Methods for handling and plotting Earth observation time series are also
 provided.

Package: r-cran-sepkoski
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1474
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-sepkoski_0.0.1-1.ca2004.1_all.deb
Size: 1418036
MD5sum: 311da5ec1c67680cfd511a2b312b93f7
SHA1: 7b9cc429c0d535fdef0926e310d5a13ec50fc2b1
SHA256: 88358e1dc2f692af608f0c16f862f0bfe9f18f65b669fa9ea875bcdad59967e6
SHA512: 08ce8afe991988b2fe7992017422286b78397d3e2add975fef389c01be578d8c5bce44bd9f807ed6e7f84c5ca9e39dd29ce3371c0dee81ca726f79fae73435ec
Homepage: https://cran.r-project.org/package=sepkoski
Description: CRAN Package 'sepkoski' (Sepkoski's Fossil Marine Animal Genera Compendium)
 Stratigraphic ranges of fossil marine animal genera from Sepkoski's (2002)
 published compendium. No changes have been made to any taxonomic names.
 However, first and last appearance intervals have been updated to be
 consistent with stages of the International Geological Timescale.
 Functionality for generating a plot of Sepkoski's evolutionary fauna is also
 included. For specific details on the compendium see: Sepkoski, J. J.
 (2002). A compendium of fossil marine animal genera.  Bulletins of American
 Paleontology, 363, pp. 1–560 (ISBN 0-87710-450-6).  Access:
 <https://www.biodiversitylibrary.org/item/40634#page/5/mode/1up>.

Package: r-cran-seplyr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wrapr, r-cran-dplyr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-seplyr_1.0.4-1.ca2004.1_all.deb
Size: 160796
MD5sum: 00372ea5bea099f3947d8e63dd7aacb0
SHA1: 9401b914df1d6accbb8b431ef0cb500a1c8027f0
SHA256: 55d5a452be270feec8bcbae31ecc7ced854130d3b212c3c269cd26d6518a0378
SHA512: 71ab20199cea46d0f3ebc8ec96f0f7b67b3649aa9aefa230b85bf99c451532c1a89e782f782143e229ceffad3dd1d615152d162b882d8872667f77d7813329c2
Homepage: https://cran.r-project.org/package=seplyr
Description: CRAN Package 'seplyr' (Improved Standard Evaluation Interfaces for Common DataManipulation Tasks)
 The 'seplyr' (standard evaluation plying) package supplies improved standard
 evaluation adapter methods for important common 'dplyr' data manipulation
 tasks.  In addition the 'seplyr' package supplies several new "key
 operations bound together" methods.  These include 'group_summarize()'
 (which combines grouping, arranging and calculation in an atomic unit),
 'add_group_summaries()' (which joins grouped summaries into a 'data.frame'
 in a well documented manner), 'add_group_indices()' (which adds per-group
 identifiers to a 'data.frame' without depending on row-order),
 'partition_mutate_qt()' (which optimizes mutate sequences), and
 'if_else_device()' (which simulates per-row if-else blocks in expression
 sequences).

Package: r-cran-seqalignr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plot.matrix
Filename: pool/dists/focal/main/r-cran-seqalignr_0.1.1-1.ca2004.1_all.deb
Size: 35756
MD5sum: 1ba9bdbdcec54aa844dce2e89a74f4c8
SHA1: 9166be474dd628900dbd10e4da114eb3201218d7
SHA256: 465460233cb278c2995bef6f0cb661e31519508c7cc39a3e6161c2e99b4ff45d
SHA512: ec698f59fbb8c68c8331fd2d25dd7115ad5f4db5587e64bf1674fa4c4afeeba842103175e4a3a411a44e668a4db4eaa933876d177dc36259045a95abf07dea7a
Homepage: https://cran.r-project.org/package=SeqAlignR
Description: CRAN Package 'SeqAlignR' (Sequence Alignment and Visualization Tool)
 Computes the optimal alignment of two character sequences.  Visualizes the
 result of the alignment in a matrix plot.  Needleman, Saul B.; Wunsch,
 Christian D. (1970) "A general method applicable to the search for
 similarities in the amino acid sequence of two proteins"
 <doi:10.1016/0022-2836(70)90057-4>.

Package: r-cran-seqalloc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seqalloc_1.0-1.ca2004.1_all.deb
Size: 57272
MD5sum: 3062ee69f691bfe81efdb3fd2d708583
SHA1: 1ba0cf844fcb9d93a0b0c170c81780a82a781b97
SHA256: 981d5bd1bee29e74481dbdeedf9a6013abd9af37b807d67a8ebb6b1b77823e6e
SHA512: 04a86c5d837b360b4a8669e89992e9e593c9ec978051b8b2caa694578b5a3548a4dd950eff94f4a0621c44fa224ff0ca6d8e15eecbed630072c6dc4343504eab
Homepage: https://cran.r-project.org/package=SeqAlloc
Description: CRAN Package 'SeqAlloc' (Sequential Allocation for Prospective Experiments)
 Potential randomization schemes are prospectively evaluated when units are
 assigned to treatment arms upon entry into the experiment. The schemes are
 evaluated for balance on covariates and on predictability (i.e., how well
 could a site worker guess the treatment of the next unit enrolled).

Package: r-cran-seqdesign
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 515
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-seqdesign_1.2-1.ca2004.1_all.deb
Size: 423420
MD5sum: d3ae5a9922019ca805b9462844f1d53e
SHA1: ae84fc42750b1f1257ebb4e82f1aa6c84e04f5f3
SHA256: 27cddeebdae5d239895d2005af92337e848c3dd409c73c75f4a1bb23b9bb825f
SHA512: 893d763a317e1e8d5970d9072cb2f6f1c00b121b0c134ee49905ae9563dd91ce89fb550ac208f3434913b8630abfb936ad0b3290f6d34a786229de591681d3e8
Homepage: https://cran.r-project.org/package=seqDesign
Description: CRAN Package 'seqDesign' (Simulation and Group Sequential Monitoring of RandomizedTwo-Stage Treatment Efficacy Trials with Time-to-EventEndpoints)
 A modification of the preventive vaccine efficacy trial design of Gilbert,
 Grove et al. (2011, Statistical Communications in Infectious Diseases) is
 implemented, with application generally to individual-randomized clinical
 trials with multiple active treatment groups and a shared control group, and
 a study endpoint that is a time-to-event endpoint subject to
 right-censoring. The design accounts for the issues that the efficacy of the
 treatment/vaccine groups may take time to accrue while the multiple
 treatment administrations/vaccinations are given; there is interest in
 assessing the durability of treatment efficacy over time; and group
 sequential monitoring of each treatment group for potential harm,
 non-efficacy/efficacy futility, and high efficacy is warranted. The design
 divides the trial into two stages of time periods, where each treatment is
 first evaluated for efficacy in the first stage of follow-up, and, if and
 only if it shows significant treatment efficacy in stage one, it is
 evaluated for longer-term durability of efficacy in stage two. The package
 produces plots and tables describing operating characteristics of a
 specified design including an unconditional power for intention-to-treat and
 per-protocol/as-treated analyses; trial duration; probabilities of the
 different possible trial monitoring outcomes (e.g., stopping early for
 non-efficacy); unconditional power for comparing treatment efficacies; and
 distributions of numbers of endpoint events occurring after the
 treatments/vaccinations are given, useful as input parameters for the design
 of studies of the association of biomarkers with a clinical outcome
 (surrogate endpoint problem). The code can be used for a single active
 treatment versus control design and for a single-stage design.

Package: r-cran-seqexpmatch
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-checkmate, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-seqexpmatch_0.1.0-1.ca2004.1_all.deb
Size: 132448
MD5sum: f60da8b5973a93cb68e776446fcbd0a8
SHA1: 25db8663ce14fd89d57e953a1fb2b3b788cae27b
SHA256: 580b9f7c9d8c32e8af948cd251c53c501fc8646318141d410fb593de588c884f
SHA512: aa89a3f496722b2c1dd77493cf41f77e9d17e50973a695f81eda61c4c6489e7d7f0073436edf7dfde7e43e3a87629ff5e6a9e83435f91f759e08e798991425f5
Homepage: https://cran.r-project.org/package=SeqExpMatch
Description: CRAN Package 'SeqExpMatch' (Sequential Experimental Design via Matching on-the-Fly)
 Generates the following sequential two-arm experimental designs: (1)
 completely randomized (Bernoulli) (2) balanced completely randomized (3)
 Efron's (1971) Biased Coin (4) Atkinson's (1982) Covariate-Adjusted Biased
 Coin (5) Kapelner and Krieger's (2014) Covariate-Adjusted Matching on the
 Fly (6) Kapelner and Krieger's (2021) CARA Matching on the Fly with
 Differential Covariate Weights (Naive) (7) Kapelner and Krieger's (2021)
 CARA Matching on the Fly with Differential Covariate Weights (Stepwise) and
 also provides the following types of inference: (1) estimation (with both
 Z-style estimators and OLS estimators), (2) frequentist testing (via
 asymptotic distribution results and via employing the nonparametric
 randomization test) and (3) frequentist confidence intervals (only under the
 superpopulation sampling assumption currently). Details can be found in our
 publication: Kapelner and Krieger "A Matching Procedure for Sequential
 Experiments that Iteratively Learns which Covariates Improve Power" (2020)
 <arXiv:2010.05980>.

Package: r-cran-seqfeatr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1500
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tcltk2, r-bioc-biostrings, r-cran-plotrix, r-cran-plyr, r-cran-phangorn, r-bioc-qvalue, r-bioc-widgettools, r-cran-calibrate, r-cran-ggplot2, r-cran-r2jags, r-cran-coda, r-cran-scales, r-cran-ape
Suggests: r-cran-xtable
Filename: pool/dists/focal/main/r-cran-seqfeatr_0.3.1-1.ca2004.1_all.deb
Size: 940460
MD5sum: 580dec7ebefd3307cb26966ae434553b
SHA1: 2c2e9f8b322166644e9130b193c160807f831262
SHA256: 192ecd8972d605b835ac4d3b180eaae4cbaf973c65c12d23c629b0819866255e
SHA512: 354395e657ae39c9d72d7115f30642a423360ce39a322f1512e763b0f60d54bc61ffc1d6a070ab54674155ddd7b225c87dfd76fac7339575720e970f8a9c6475
Homepage: https://cran.r-project.org/package=SeqFeatR
Description: CRAN Package 'SeqFeatR' (A Tool to Associate FASTA Sequences and Features)
 Provides user friendly methods for the identification of sequence patterns
 that are statistically significantly associated with a property of the
 sequence. For instance, SeqFeatR allows to identify viral immune escape
 mutations for hosts of given HLA types. The underlying statistical method is
 Fisher's exact test, with appropriate corrections for multiple testing, or
 Bayes. Patterns may be point mutations or n-tuple of mutations. SeqFeatR
 offers several ways to visualize the results of the statistical analyses,
 see Budeus (2016) <doi:10.1371/journal.pone.0146409>.

Package: r-cran-seqgendiff
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-irlba, r-bioc-sva, r-cran-pdist, r-cran-matchingr, r-cran-clue
Suggests: r-cran-covr, r-cran-testthat, r-bioc-summarizedexperiment, r-bioc-deseq2, r-cran-knitr, r-cran-rmarkdown, r-bioc-airway, r-bioc-limma, r-bioc-qvalue, r-bioc-edger
Filename: pool/dists/focal/main/r-cran-seqgendiff_1.2.4-1.ca2004.1_all.deb
Size: 389588
MD5sum: 062f825e53da089b92506b6ad55d338b
SHA1: cf7973417425311c97843dbd331ececbb278d520
SHA256: 7e52925b9216cbdba3090d8c8d3fb6fb35826dbd197f721fbf257b4643bf9251
SHA512: adc61ef871ba24332142cbfbd17ff7af6412608fde0e61e265d28e5c2b282f5236d8801f76c0d7b07c8c210695481f6de6f8e7638ede91c4a2eae43e72178ba4
Homepage: https://cran.r-project.org/package=seqgendiff
Description: CRAN Package 'seqgendiff' (RNA-Seq Generation/Modification for Simulation)
 Generates/modifies RNA-seq data for use in simulations. We provide a suite
 of functions that will add a known amount of signal to a real RNA-seq
 dataset. The advantage of using this approach over simulating under a
 theoretical distribution is that common/annoying aspects of the data are
 more preserved, giving a more realistic evaluation of your method.  The main
 functions are select_counts(), thin_diff(), thin_lib(), thin_gene(),
 thin_2group(), thin_all(), and effective_cor(). See Gerard (2020)
 <doi:10.1186/s12859-020-3450-9> for details on the implemented methods.

Package: r-cran-seqhandbook
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2841
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-traminer
Suggests: r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown, r-cran-factominer, r-cran-descriptio, r-cran-rcolorbrewer, r-cran-traminerextras, r-cran-weightedcluster, r-cran-ade4, r-cran-cluster, r-cran-questionr, r-cran-rmdformats, r-cran-dplyr, r-cran-purrr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-seqhandbook_0.1.1-1.ca2004.1_all.deb
Size: 1636080
MD5sum: 327115d0f7fcfd0dadcafeeba88f065a
SHA1: af57403f4a72dcd1c33564cc0616b3dcda116478
SHA256: baa434cb8111f79a87a6896f157b477f0c87954a8267e18afc6028a0ad7fdf43
SHA512: 7d0c1e2fe0690e2dc90ca0f1af597fb0fad57df33654b6c244d05e29b8428a8be185919cc45d1f7a2acf2673e83e682e21fd89bff5850a7eff500c2c99612492
Homepage: https://cran.r-project.org/package=seqhandbook
Description: CRAN Package 'seqhandbook' (Miscellaneous Tools for Sequence Analysis)
 It provides miscellaneous sequence analysis functions for describing
 episodes in individual sequences, measuring association between domains in
 multidimensional sequence analysis (see Piccarreta (2017)
 <doi:10.1177/0049124115591013>), heat maps of sequence data, Globally
 Interdependent Multidimensional Sequence Analysis (see Robette et al (2015)
 <doi:10.1177/0081175015570976>), smoothing sequences for index plots (see
 Piccarreta (2012) <doi:10.1177/0049124112452394>), coding sequences for
 Qualitative Harmonic Analysis (see Deville (1982)), measuring stress from
 multidimensional scaling factors (see Piccarreta and Lior (2010)
 <doi:10.1111/j.1467-985X.2009.00606.x>), symmetrical (or canonical) Partial
 Least Squares (see Bry (1996)).

Package: r-cran-seqicp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dhsic, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-seqicp_1.1-1.ca2004.1_all.deb
Size: 97192
MD5sum: 16f583a158851704b077f60bcbbd9bf0
SHA1: d7dbbbebaf68c28388cf1f9f7af0667e6bf5982e
SHA256: 81c64a01d0cca33a7fc8ad7014c6410bec8ca4ad75291c892a012e8b251dc4aa
SHA512: 1bf8bf59ecd14607892b0cd79bfddcda9b17ff0b110c5b6be42db16669db72ee5f1558d030de631122d2ff3a0809204875ea7d99508ef538c6c3a74ad3d221ca
Homepage: https://cran.r-project.org/package=seqICP
Description: CRAN Package 'seqICP' (Sequential Invariant Causal Prediction)
 Contains an implementation of invariant causal prediction for sequential
 data. The main function in the package is 'seqICP', which performs linear
 sequential invariant causal prediction and has guaranteed type I error
 control. For non-linear dependencies the package also contains a non-linear
 method 'seqICPnl', which allows to input any regression procedure and
 performs tests based on a permutation approach that is only approximately
 correct. In order to test whether an individual set S is invariant the
 package contains the subroutines 'seqICP.s' and 'seqICPnl.s' corresponding
 to the respective main methods.

Package: r-cran-seqimpute
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-amelia, r-cran-cluster, r-cran-dfidx, r-cran-dorng, r-cran-dosnow, r-cran-dplyr, r-cran-foreach, r-cran-mlr, r-cran-nnet, r-cran-plyr, r-cran-ranger, r-cran-rms, r-cran-stringr, r-cran-traminer, r-cran-traminerextras, r-cran-mice, r-cran-parallelly
Suggests: r-cran-r.rsp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-seqimpute_2.2.0-1.ca2004.1_all.deb
Size: 612972
MD5sum: 2557328dabc424e72024a9266ef682f6
SHA1: 02137f260517378e515f4e029c796b2a3c5cf225
SHA256: 73bfcefff8f78922393ee36ba993738b1a9f1ac8c706412e063f58cbb3bba794
SHA512: 7687c4733c91c7fff2218b5767b02a64d282aeb2675e0b95b6f14c5e166d86fa9f479c19772be3232fd1bfdf260fc25acc2cd23fafaf01fb1f858193fe9b8d8f
Homepage: https://cran.r-project.org/package=seqimpute
Description: CRAN Package 'seqimpute' (Imputation of Missing Data in Sequence Analysis)
 Multiple imputation of missing data in a dataset using MICT or MICT-timing
 methods. The core idea of the algorithms is to fill gaps of missing data,
 which is the typical form of missing data in a longitudinal setting,
 recursively from their edges. Prediction is based on either a multinomial or
 random forest regression model. Covariates and time-dependent covariates can
 be included in the model.

Package: r-cran-seqmade
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-seqmade_1.0-1.ca2004.1_all.deb
Size: 40368
MD5sum: 54187608a5ef4bad393ceadd91a0ea28
SHA1: cf6920285fbd58637b8793c768c9a80092cca15a
SHA256: c143b8873a9956498a295cc5b8020eb717616d6ce1b62c99f1e0135e2990c7ee
SHA512: 4769e77649bbe84eafde6f5c17c9da160e19af512570b69ac8231446beb34d208591eb262c684af024b2a7d280fb938a3e8000fdd579a88e9c48d55941691c2e
Homepage: https://cran.r-project.org/package=SeqMADE
Description: CRAN Package 'SeqMADE' (Network Module-Based Model in the Differential ExpressionAnalysis for RNA-Seq)
 A network module-based generalized linear model for differential expression
 analysis with the count-based sequence data from RNA-Seq.

Package: r-cran-seqmagick
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 809
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biostrings, r-cran-magrittr, r-cran-yulab.utils
Suggests: r-cran-downloader, r-cran-knitr, r-cran-rmarkdown, r-bioc-genomicalignments, r-bioc-genomicranges, r-bioc-iranges, r-bioc-muscle, r-bioc-rsamtools, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-seqmagick_0.1.7-1.ca2004.1_all.deb
Size: 192144
MD5sum: 310efccb4a7f2d4f56c2dac239ee9786
SHA1: 350b1ae36e819260b40bc58fd5c057a1ed1b49ad
SHA256: e3c4cb7dbcc1df0abf72848497049144fa3027db83d95e9559a64ec7b8b2fb11
SHA512: 054cd656aa27f47b1da876b881669a50c085b6342caf00ce597b61ddd73bd4126a2b7cc96adc2e1b1f860307ffffb5ad953ad322b87adec11679d04a184ed87f
Homepage: https://cran.r-project.org/package=seqmagick
Description: CRAN Package 'seqmagick' (Sequence Manipulation Utilities)
 Supports reading and writing sequences for different formats (currently
 interleaved and sequential formats for 'FASTA' and 'PHYLIP'), file
 conversion, and manipulation (e.g. filter sequences that contain specify
 pattern, export consensus sequence from an alignment).

Package: r-cran-seqmon
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-seqmon_2.5-1.ca2004.1_all.deb
Size: 98692
MD5sum: 780273010076687eea7a37056a409879
SHA1: 2561abee3939ef79221084b2d71fbe855a0bf8dd
SHA256: 59bc398cc976dcc6dabf0be66f5b594fd08698ab9277c68ec2e66ffd63ca0d9a
SHA512: 2a303cdb3f67762fee85f002278b7754635376ca0501f158d6239c267c8030d39dd0a4ca67dbd32880e3d8553fa79485f4e93e43ed5a9941c0745c142afd34e5
Homepage: https://cran.r-project.org/package=seqmon
Description: CRAN Package 'seqmon' (Group Sequential Design Class for Clinical Trials)
 S4 class object for creating and managing group sequential designs. It
 calculates the efficacy and futility boundaries at each look. It allows
 modifying the design and tracking the design update history.

Package: r-cran-seqrflp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 444
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seqrflp_1.0.1-1.ca2004.1_all.deb
Size: 129884
MD5sum: 301f70afd5ca215b140b2ee4df934bd8
SHA1: adfe47f64d4c4ed7dc6a1917e9c1ecdcbc9203d7
SHA256: 3339f774c260e1eb31a280d60ec6ee4ba91f83498d1ceeebd09c8f7b2afa439c
SHA512: a0c59d3c809e3e95dc440219840cde04e5f6cc38366bb04c30c3feecd1f33ec4865db25ddcfdf28d4e3e9e1b6c9172395876ea32971485d4e0f7366a9d67940a
Homepage: https://cran.r-project.org/package=seqRFLP
Description: CRAN Package 'seqRFLP' (Simulation and visualization of restriction enzyme cuttingpattern from DNA sequences)
 This package includes functions for handling DNA sequences, especially
 simulated RFLP and TRFLP pattern based on selected restriction enzyme and
 DNA sequences.

Package: r-cran-seqshp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haven, r-cran-dplyr
Suggests: r-cran-traminer
Filename: pool/dists/focal/main/r-cran-seqshp_0.1.1-1.ca2004.1_all.deb
Size: 38840
MD5sum: da2ff5f7f2094572e630cb05ff2f9e28
SHA1: d46061fc3df6665fc55ea899d5d4ccac234ccc16
SHA256: 4626766306de1e7ff0f1ab3214d42f237fd75c60638ac31604c31199b8f57000
SHA512: d1d20a19b6e6fdc3a33aac393ebeb4e7643abbc73753a18e521a97f936d71012796abb1be1624161e95197122a07e198ea85fdc59c8f89fe86bd00c375dfd78e
Homepage: https://cran.r-project.org/package=seqSHP
Description: CRAN Package 'seqSHP' (Building Sequences from SHP Waves)
 Based on the structure of the SPSS version of the Swiss Household Panel
 (SHP) data, provides a function seqFromWaves() that seeks the data of
 variables specified by the user in each of the wave files and collects them
 as sequences. The function also matches the sequences with variables from
 other files such as the master files of persons (MP) and households (MH),
 and social origins (SO).  It can also match with activity calendar data
 (CA).

Package: r-cran-seqtest
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-seqtest_0.1-0-1.ca2004.1_all.deb
Size: 172488
MD5sum: c9176ae1fac1b9f189845ddcbcb37e4b
SHA1: 17517a3f6ea808a8ded67bdbf210872787d703e6
SHA256: d6ec250acfa5e7b4420cab0088f6529e93ee200e734ad68b933ff34141dc12fa
SHA512: c534e577fdf13c389c6f344bd33328e152829b177677b45d198d7037f5251df8840ca79a9c35f8e85a921f2ff1245b7b8bc6b00fda772fb1038c7f7cbf3ddc76
Homepage: https://cran.r-project.org/package=seqtest
Description: CRAN Package 'seqtest' (Sequential Triangular Test)
 Sequential triangular test for the arithmetic mean in one- and two- samples,
 proportions in one- and two-samples, and the Pearson's correlation
 coefficient.

Package: r-cran-sequencer
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tuner
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gganimate, r-cran-tidyr, r-cran-dplyr, r-cran-av
Filename: pool/dists/focal/main/r-cran-sequencer_1.0.1-1.ca2004.1_all.deb
Size: 2031292
MD5sum: 63ab8687fec079e8c69c2ae181df2009
SHA1: 46dfa23b4b332959e9d27c2fae7a31d416560e09
SHA256: 6a7f27d20c3f5ff06ab28a7aa5960e19b4bbcb978f963e423b5c739eca47c7d3
SHA512: cf4cafbbab322f76cc96e5d5324cfdd9c79b5f01a03e3f215317a70e15c3c8fae099e23a0242668776432148aade9bbc9c34ef77c64bfc5a5b2469ee63803be8
Homepage: https://cran.r-project.org/package=sequenceR
Description: CRAN Package 'sequenceR' (A Simple Sequencer for Data Sonification)
 A rudimentary sequencer to define, manipulate and mix sound samples.  The
 underlying motivation is to sonify data, as demonstrated in the blog
 <https://globxblog.github.io/>, the presentation by Renard and Le Bescond
 (2022, <https://hal.science/hal-03710340v1>) or the poster by Renard et al.
 (2023, <https://hal.inrae.fr/hal-04388845v1>).

Package: r-cran-sequential.pops
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 671
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-emdbook, r-cran-truncdist, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sequential.pops_0.1.1-1.ca2004.1_all.deb
Size: 372232
MD5sum: 1851b6aeb7cccfe36e1d0373bd106fd9
SHA1: 7b8f18108c7cf145ce9f16c2fca2d6fe8badf5dd
SHA256: 5ab891df5a474a59e28086414e3a1fedf5530d6f0f87daeb941fd3b4479aaa85
SHA512: 6085f9cd035d3f4fed5b7aebbe55a61fd8e5d37dda4b3a8107f5b3ee2f3d04996020067b12c56052b7fbf9c1b7e71efdde8d3edd2c91863ac000423d37c75740
Homepage: https://cran.r-project.org/package=sequential.pops
Description: CRAN Package 'sequential.pops' (Sequential Analysis of Biological Population Sizes)
 In population management, data come at more or less regular intervals over
 time in sampling batches (bouts) and decisions should be made with the
 minimum number of samples and as quickly as possible. This package provides
 tools to implement, produce charts with stop lines, summarize results and
 assess sequential analyses that test hypotheses about population sizes. Two
 approaches are included: the sequential test of Bayesian posterior
 probabilities (Rincon, D.F. et al. 2025 <doi:10.1111/2041-210X.70053>), and
 the sequential probability ratio test (Wald, A. 1945
 <http://www.jstor.org/stable/2235829>).

Package: r-cran-sequential
Architecture: all
Version: 4.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 919
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-sequential_4.3.4-1.ca2004.1_all.deb
Size: 897012
MD5sum: 75386e30cc875f9f2404d171fd043508
SHA1: c30fe92ada94e88ab0209a99afbeef10dbec9346
SHA256: a1f0de644593dcd54503dcead5ed20f995ebe73641f0272b8013e3a09d52cf00
SHA512: 2eaabbf809df43cffdd33c9d636df28a9d6dce8c911a780e5e1bdf47ba1b1b19a4b685b130f5235586042501a887342338e62de9390072df5c78d756855da554
Homepage: https://cran.r-project.org/package=Sequential
Description: CRAN Package 'Sequential' (Exact Sequential Analysis for Poisson and Binomial Data)
 Functions to calculate exact critical values, statistical power, expected
 time to signal, and required sample sizes for performing exact sequential
 analysis. All these calculations can be done for either Poisson or binomial
 data, for continuous or group sequential analyses, and for different types
 of rejection boundaries. In case of group sequential analyses, the group
 sizes do not have to be specified in advance and the alpha spending can be
 arbitrarily settled.

Package: r-cran-sequentialdesign
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sequential
Filename: pool/dists/focal/main/r-cran-sequentialdesign_1.0-1.ca2004.1_all.deb
Size: 42148
MD5sum: 4ea790914807ebabe4c027dcd7f74e3b
SHA1: 2846877f0684adb993b407bc0804e6706556b860
SHA256: 966f5d6f183479b3f8a0d96fc1d060439f8e424f47b0281962606dd0f0f469aa
SHA512: 8b72f63283566ee4679881c41f2098c26c6a717128fe51311442f2e3ee60b79bc4dad32293462edaacbccec70955f3962587556b8c4b24fbc34fbeea5a80087d
Homepage: https://cran.r-project.org/package=SequentialDesign
Description: CRAN Package 'SequentialDesign' (Observational Database Study Planning using Exact SequentialAnalysis for Poisson and Binomial Data)
 Functions to be used in conjunction with the 'Sequential' package that
 allows for planning of observational database studies that will be analyzed
 with exact sequential analysis. This package supports Poisson- and
 binomial-based data. The primary function, seq_wrapper(...), accepts
 parameters for simulation of a simple exposure pattern and for the
 'Sequential' package setup and analysis functions. The exposure matrix is
 used to simulate the true and false positive and negative populations (Green
 (1983) <doi:10.1093/oxfordjournals.aje.a113521>, Brenner (1993)
 <doi:10.1093/oxfordjournals.aje.a116805>). Functions are then run from the
 'Sequential' package on these populations, which allows for the exploration
 of outcome misclassification in data.

Package: r-cran-sequenza
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4977
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-squash, r-cran-iotools, r-cran-readr, r-cran-seqminer, r-bioc-copynumber
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rmdformats
Filename: pool/dists/focal/main/r-cran-sequenza_3.0.0-1.ca2004.1_all.deb
Size: 3454752
MD5sum: e49325d2b10036cd18d30178a0fe1258
SHA1: 4afe468dffb51f2d43fc2b0c6bcd3498b6284ddf
SHA256: 6c723e42d268997a291bcfd1185b8285f8bd72e195287039f153959d0c656270
SHA512: 89333b3426e283598c5f70097860028a11016bb4f1dc82fc7be305ec605c30a880d80bf99fbb314ad1e9879c8901c36c5f63b4148b31db0662f0632f21bab86a
Homepage: https://cran.r-project.org/package=sequenza
Description: CRAN Package 'sequenza' (Copy Number Estimation from Tumor Genome Sequencing Data)
 Tools to analyze genomic sequencing data from paired normal-tumor samples,
 including cellularity and ploidy estimation; mutation and copy number
 (allele-specific and total copy number) detection, quantification and
 visualization.

Package: r-cran-sergeant
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bit64, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-httr, r-cran-jsonlite, r-cran-htmltools, r-cran-readr, r-cran-purrr, r-cran-scales, r-cran-stringi, r-cran-tibble, r-cran-magrittr
Suggests: r-cran-dt, r-cran-stevedore, r-cran-tinytest, r-cran-covr, r-cran-dbitest
Filename: pool/dists/focal/main/r-cran-sergeant_0.9.1-1.ca2004.1_all.deb
Size: 297320
MD5sum: 830ca58671736b486095e98d1eb79986
SHA1: ab14dc1480f2094f4e10095547d568b6f0cf06aa
SHA256: 9226cce584ccc9653f796f2defdd4c2e632fab694539fc2dc6b2291958278130
SHA512: b321137ad2ce1381b9c950801ea2c3b1a2477281ff47ef26ab94c2c35a479eb196510094e9794dee98738b8208991542038de36574c8766c64018e2f79c43499
Homepage: https://cran.r-project.org/package=sergeant
Description: CRAN Package 'sergeant' (Tools to Transform and Query Data with Apache Drill)
 Apache Drill is a low-latency distributed query engine designed to enable
 data exploration and analysis on both relational and non-relational data
 stores, scaling to petabytes of data. Methods are provided that enable
 working with Apache Drill instances via the REST API, DBI methods and using
 'dplyr'/'dbplyr' idioms. Helper functions are included to facilitate using
 official Drill Docker images/containers.

Package: r-cran-serial
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-serial_3.0-1.ca2004.1_all.deb
Size: 55916
MD5sum: e92613ae9bcfa535576fa5288b4289d5
SHA1: 5781ea7d4862b2d4bee875271dbf70851ea57025
SHA256: 3834459f53f4fd6b8f0fbcb82e307caa1af72ae67f296cdd742eec43fbe034d6
SHA512: fba68ff915892b3a80cb6247f48d1e9e8030729037b1305beeace78af7e221412b6b9b7bedbd146845d433c22e1cd45d2c3e8fe4153ed322e9f0de66f5c0e965
Homepage: https://cran.r-project.org/package=serial
Description: CRAN Package 'serial' (The Serial Interface Package)
 Enables reading and writing binary and ASCII data to RS232/RS422/RS485 or
 any other virtual serial interface of the computer.

Package: r-cran-serieslcb
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-serieslcb_0.4.0-1.ca2004.1_all.deb
Size: 108312
MD5sum: 821bb164a226b08d3dfbb8b3cc5a9feb
SHA1: 25b32a28eb0e1a21298dad10d714aa80a4e65dd5
SHA256: 12ac846697bc8b2df61faffcade5c93bae8f412675606e6806ce2c36b20a6a4c
SHA512: 3725a4324987c080e1e83b66377edcdf504d90cdecd9fc6e50c0c743807cbec5f0d067599c27f51a823e3a1ee04afdfdae8a924b7f699c134d0b45f04c161342
Homepage: https://cran.r-project.org/package=serieslcb
Description: CRAN Package 'serieslcb' (Lower Confidence Bounds for Binomial Series System)
 Calculate and compare lower confidence bounds for binomial series system
 reliability. The R 'shiny' application, launched by the function
 launch_app(), weaves together a workflow of customized simulations and delta
 coverage calculations to output recommended lower confidence bound methods.

Package: r-cran-seroincidence
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3609
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-seroincidence_2.0.0-1.ca2004.1_all.deb
Size: 3447000
MD5sum: 960ea9d0d5df320dc060e08be86341e8
SHA1: 2907bee911e94fe96a4bd353ec7256e39ecf0911
SHA256: 183145a05cc4d917daa595947f77eccdf58c719b7982b84410b9dc397dcbd62e
SHA512: e1503850d6c4ccd98f581b94ba01d2b8c1b145482b381d0f488bac721c6f0d755eb0b40a80078e0a1277b9ba75f2d81103db5d2be4a4d5a470c1aefa722d5beb
Homepage: https://cran.r-project.org/package=seroincidence
Description: CRAN Package 'seroincidence' (Estimating Infection Rates from Serological Data)
 Translates antibody levels measured in a (cross-sectional) population sample
 into an estimate of the frequency with which seroconversions (infections)
 occur in the sampled population.

Package: r-cran-serolyzer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4688
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-nplr, r-cran-r6, r-cran-readxl, r-cran-stringi, r-cran-stringr, r-cran-png, r-cran-ggrepel, r-cran-lubridate, r-cran-r.utils, r-cran-svglite, r-cran-fs, r-cran-scales
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-serolyzer_1.2.0-1.ca2004.1_all.deb
Size: 2610088
MD5sum: cdeb6359d4f4cf3cc6609b8049e5a1b2
SHA1: 0b92e19044bfae72ac4a3ab75bb9369c352d2afa
SHA256: 5377774a01e00a5e6f6a51c58e681312e1a94f38bc91b948f1a29cd9d3473b21
SHA512: 32d8cd9ac961b86a72e0c3a15908472c60f75542f9d44dbf173fc14bfcd9955776a200a1d3098cdc43162c29ddee301dfdf036cc522d0532a598ed34262b0287
Homepage: https://cran.r-project.org/package=SerolyzeR
Description: CRAN Package 'SerolyzeR' (Reading, Quality Control and Preprocessing of MBA (MultiplexBead Assay) Data)
 Speeds up the process of loading raw data from MBA (Multiplex Bead Assay)
 examinations, performs quality control checks, and automatically normalises
 the data, preparing it for more advanced, downstream tasks. The main
 objective of the package is to create a simple environment for a user, who
 does not necessarily have experience with R language. The package is
 developed within the project 'PvSTATEM', which is an international project
 aiming for malaria elimination.

Package: r-cran-serp
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ordinal, r-cran-crayon
Suggests: r-cran-covr, r-cran-testthat, r-cran-tibble, r-cran-vctrs, r-cran-pkgdown, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-serp_0.2.5-1.ca2004.1_all.deb
Size: 176412
MD5sum: 3c3d5ee547fd91e8a00593d030b575ee
SHA1: 3dfc232bc12041c6d5ed3a44fc27fe8d3637554c
SHA256: fefed277a0bee648cadb622e0bcb4b94db7dafa9f787205f1f91949502afc640
SHA512: b59b2478da8d552a8b5ef052d001ecc586568af7bac5804208e95711c94486d90577b4411d1f0b00c2df0229c536078b0e2c421419a35f04281f3a0b3f4bdf81
Homepage: https://cran.r-project.org/package=serp
Description: CRAN Package 'serp' (Smooth Effects on Response Penalty for CLM)
 Implements a regularization method for cumulative link models using the
 Smooth-Effect-on-Response Penalty (SERP). This method allows flexible
 modeling of ordinal data by enabling a smooth transition from a general
 cumulative link model to a simplified version of the same model. As the
 tuning parameter increases from zero to infinity, the subject-specific
 effects for each variable converge to a single global effect.  The approach
 addresses common issues in cumulative link models, such as parameter
 unidentifiability and numerical instability, by maximizing a penalized
 log-likelihood instead of the standard non-penalized version.  Fitting is
 performed using a modified Newton's method. Additionally, the package
 includes various model performance metrics and descriptive tools.  For
 details on the implemented penalty method, see Ugba (2021)
 <doi:10.21105/joss.03705> and Ugba et al. (2021) <doi:10.3390/stats4030037>.

Package: r-cran-serpstatr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-serpstatr_0.3.0-1.ca2004.1_all.deb
Size: 92384
MD5sum: 1410e2b69373d6b04b0a3c0c24b5e60d
SHA1: 17b66f063bf7c428910d660cde320b26a449087a
SHA256: 6e94f487fc5955f9d1a74e2da7d400726592b051cdf7a1534ccf8feafc8209c4
SHA512: 8d647b5114dd51a040cfb11c8cb4c80794be79d33d56921936753f87ffafb85130a2497f24fb5adffa93c3a0f1a9cc4f1a8907611f806279f453f480fb6edc7e
Homepage: https://cran.r-project.org/package=serpstatr
Description: CRAN Package 'serpstatr' ('Serpstat' API Wrapper)
 The primary goal of 'Serpstat' API <https://serpstat.com/api/> is to reduce
 manual SEO (search engine optimization) and PPC (pay-per-click) tasks. You
 can automate your keywords research or competitors analysis with this API
 wrapper.

Package: r-cran-servospherer
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1606
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-data.table, r-cran-dplyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-servospherer_0.1.1-1.ca2004.1_all.deb
Size: 136856
MD5sum: 02a66fbf6a4776f15b11ce70b9583d52
SHA1: e6bcb9857efc28158c25b75a5489a62b6266d2d0
SHA256: 3cad5d20975333268c4c5250e757d684c2a308fd6f9810b605c96a2e8764605d
SHA512: 405cdb38e3f5915a2e20320be8475aab0fd27993b0b5869ed34017a9ec1fd8c932d2fe7d22096fc976d0604347f0631277657a519e9e5927f50ab2a0621fd1e7
Homepage: https://cran.r-project.org/package=servosphereR
Description: CRAN Package 'servosphereR' (Analyze Data Generated from Syntech Servosphere Trials)
 Functions that facilitate and speed up the analysis of data produced by a
 Syntech servosphere
 <http://www.ockenfels-syntech.com/products/locomotion-compensation/>, which
 is equipment for studying the movement behavior of arthropods.  This package
 is designed to make working with data produced from a servosphere easy for
 someone new to or unfamiliar with R. The functions provided in this package
 fall into three broad-use categories: functions for cleaning raw data
 produced by the servosphere software, functions for deriving movement
 variables based on position data, and functions for summarizing movement
 variables for easier analysis. These functions are built with functions from
 the tidyverse package to work efficiently, as a single servosphere file may
 consist of hundreds of thousands of rows of data and a user may wish to
 analyze hundreds of files at a time. Many of the movement variables
 derivable through this package are described in the following papers:
 Otálora-Luna, Fernando; Dickens, Joseph C. (2011)
 <doi:10.1371/journal.pone.0020990> Party, Virginie; Hanot, Christophe;
 Busser, Daniela Schmidt; Rochat, Didier; Renou, Michel (2013)
 <doi:10.1371/journal.pone.0052897> Bell, William J.; Kramer, Ernest (1980)
 <doi:10.1007/BF01402908> Becher, Paul G; Guerin, Patrick M. (2009)
 <doi:10.1016/j.jinsphys.2009.01.006>.

Package: r-cran-servr
Architecture: all
Version: 0.32-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mime, r-cran-httpuv, r-cran-xfun, r-cran-jsonlite
Suggests: r-cran-later, r-cran-rstudioapi, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-servr_0.32-1.ca2004.1_all.deb
Size: 96844
MD5sum: 1d4567f0cb4fa34d9d2fb47f91640548
SHA1: 42e64b7eeafe9c4556f4dbd07a09dd076ffad811
SHA256: 46d2af861962c49b2c31a657bf9013e8ca2f60a04ba52a5f263f9c16ffcd0702
SHA512: b3819916fb8eb03c54597cc89f299ff717611b35a0b760b936ec80c2758d9823c2c9f6a698d17e8df5686a405057ee8c2a88b022d647352218cb4521cd7a43f4
Homepage: https://cran.r-project.org/package=servr
Description: CRAN Package 'servr' (A Simple HTTP Server to Serve Static Files or Dynamic Documents)
 Start an HTTP server in R to serve static files, or dynamic documents that
 can be converted to HTML files (e.g., R Markdown) under a given directory.

Package: r-cran-sesem
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-mgcv, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-sesem_1.0.2-1.ca2004.1_all.deb
Size: 167048
MD5sum: 117b0098df5f3c147ffb5d7f02912e23
SHA1: 9b4d9f2b70f33a0d3893c9d707d736154ac472e0
SHA256: d1190b37a71c128f61923a90c31b57b6fd58a745141373a3aa7e540512c8075d
SHA512: 3d106cadd16eb10a13e5b16745a415bc9ff2161346897eac35542ad034303e7056137119b2302118642ad16c72667ecdebd8685f0daca2817689b8ba88cd8087
Homepage: https://cran.r-project.org/package=sesem
Description: CRAN Package 'sesem' (Spatially Explicit Structural Equation Modeling)
 Structural equation modeling is a powerful statistical approach for the
 testing of networks of direct and indirect theoretical causal relationships
 in complex data sets with inter-correlated dependent and independent
 variables. Here we implement a simple method for spatially explicit
 structural equation modeling based on the analysis of variance co-variance
 matrices calculated across a range of lag distances. This method provides
 readily interpreted plots of the change in path coefficients across scale.

Package: r-cran-seset
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-combinat, r-cran-matrix, r-cran-rdpack
Suggests: r-cran-qgraph
Filename: pool/dists/focal/main/r-cran-seset_1.0.1-1.ca2004.1_all.deb
Size: 100612
MD5sum: 012198002a63114e9d09c1d72918c686
SHA1: 5679e42040a601dcba2c8b52277e283d2050dd74
SHA256: 131e0af9e0824a81a0cb35d7bb19d194fd463ab6508a2082700f52a1fb455ebf
SHA512: ec8c42d3b85c6150261348c52d7f3839480d9dd7972d8826a6cf85115d9e138b1bdb019dd745915b92a26b4e95c9b4a2cff05312481f2dc1cd45f68b905a5aa9
Homepage: https://cran.r-project.org/package=SEset
Description: CRAN Package 'SEset' (Computing Statistically-Equivalent Path Models)
 Tools to compute and analyze the set of statistically-equivalent (Gaussian,
 linear) path models which generate the input precision or (partial)
 correlation matrix.  This procedure is useful for understanding how
 statistical network models such as the Gaussian Graphical Model (GGM)
 perform as causal discovery tools.  The statistical-equivalence set of a
 given GGM expresses the uncertainty we have about the sign, size and
 direction of directed relationships based on the weights matrix of the GGM
 alone.  The derivation of the equivalence set and its use for understanding
 GGMs as causal discovery tools is described by Ryan, O., Bringmann, L.F., &
 Schuurman, N.K. (2022) <doi: 10.31234/osf.io/ryg69>.

Package: r-cran-sesraster
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-terra
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sesraster_0.7.1-1.ca2004.1_all.deb
Size: 728408
MD5sum: adcc97418bd7e2c7edb73ecfab89a2c0
SHA1: 31a671e8f6fb2847802bb0eeedda89c9bdfc42b3
SHA256: f618ca6e27e3e7721e9e27e2a6734d2ac33b5646d0bee78107faad9920b9fcd5
SHA512: 4ce4694484960f41f983c5e56249a0ad279ad51529fed9333f525e55b58e445218f7292a6cc29be56f924d820f0f7fae259d5a55545336a905eb33218b5783a2
Homepage: https://cran.r-project.org/package=SESraster
Description: CRAN Package 'SESraster' (Raster Randomization for Null Hypothesis Testing)
 Randomization of presence/absence species distribution raster data with or
 without including spatial structure for calculating standardized effect
 sizes and testing null hypothesis. The randomization algorithms are based on
 classical algorithms for matrices (Gotelli 2000, <doi:10.2307/177478>)
 implemented for raster data.

Package: r-cran-session
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-session_1.0.3-1.ca2004.1_all.deb
Size: 18608
MD5sum: 731ee402080ade7c8c4c23d14aaaa43b
SHA1: 7fdd834db951b567f45b33ca4ceded2ade57fe99
SHA256: ff89651f102b32e83adccd68b1b6dd48faf82926b5a382060afe52177e3db5c3
SHA512: 99a2023dfab18881e1192282e93436325b83887500384707381128c6bf93f92519589f0a97c0ddb47036319c50a2a8b9426b50eb97f3d8791930ae339d19cbed
Homepage: https://cran.r-project.org/package=session
Description: CRAN Package 'session' (Functions for interacting with, saving and restoring R sessions)
 Utility functions for interacting with R processes from external programs.
 This package includes functions to save and restore session information
 (including loaded packages, and attached data objects), as well as functions
 to evaluate strings containing R commands and return the printed results or
 an execution transcript.

Package: r-cran-sessioninfo
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli
Suggests: r-cran-callr, r-cran-covr, r-cran-gh, r-cran-reticulate, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sessioninfo_1.2.3-1.ca2004.1_all.deb
Size: 199360
MD5sum: 6b234137dbc244900fbd6c2fcc6e576c
SHA1: 5d9149d450f0c95186455e1c90b285eb311a8a35
SHA256: 225370c8f7bd07814556297988dd6956ff0a8dd62e01e6ba2df71a88c7eb5a81
SHA512: 2ca930e7c0da9105ed3cbec470a504e84f5a955907a731a15af8a0fa2ea9b3e1762518bdbc20a59ecc9b8d5598b1bb56f0dcdde2cfbd51fb149f66deea01c232
Homepage: https://cran.r-project.org/package=sessioninfo
Description: CRAN Package 'sessioninfo' (R Session Information)
 Query and print information about the current R session.  It is similar to
 'utils::sessionInfo()', but includes more information about packages, and
 where they were installed from.

Package: r-cran-set
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-do
Filename: pool/dists/focal/main/r-cran-set_1.2-1.ca2004.1_all.deb
Size: 26448
MD5sum: 5628e04313e22c4338b964e1de910401
SHA1: 5a898d2f2364bb4831b14c31e01064b74fe8d6c1
SHA256: cfc4519f6d5350d3c703b4c453d7d8f4d00a0203277986b5b3deb1cff037a1f3
SHA512: 3de02a69c74f8575eb0e58972e774393624723f4edb5bdd03561c59d9e99c88d3e9cbee02af3abb4eca23914ee7679179dabad36b3f496153297363584a59d11
Homepage: https://cran.r-project.org/package=set
Description: CRAN Package 'set' (Set Operation)
 More easy to get intersection, union or complementary set and combinations.

Package: r-cran-setariaviridis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3576
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-setariaviridis_0.1.0-1.ca2004.1_all.deb
Size: 3586416
MD5sum: 76199787c1631593b66c98f266dd936e
SHA1: 78ceceffad94e5b0ea65fc37f94c1a2afec05daa
SHA256: ac1c7d4f75c62e79e03695344bc554224fe17104e4ea4c3905643a3165132ce9
SHA512: 3a334c55ab4747559c9f0715feeb3d65cf78fe70f2496b292f02832909b8734a5ce01c6fadda17340622694c9e463cd99899c1159beb92282b0af03932f3f217
Homepage: https://cran.r-project.org/package=setariaviridis
Description: CRAN Package 'setariaviridis' (Field-Collected Data of Green Foxtail)
 Setaria viridis (green foxtail) is a common weed.  This package contains
 measurements from individual branches of a wild Setaria viridis plant
 collected near the author's home.  The data is intended for use in data
 analysis practice.

Package: r-cran-setartree
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-generics
Suggests: r-cran-forecast
Filename: pool/dists/focal/main/r-cran-setartree_0.2.1-1.ca2004.1_all.deb
Size: 188784
MD5sum: 9016b82d6571f7e863a87eba5858efe1
SHA1: 215676e406254171391e7b748eed73ff8f73ad06
SHA256: 905be5683fcbc5885b779b47a57dbd993c56999d231462627cef95ed17c536b9
SHA512: 621a307a6e9f8eb459135e60c93ed52cf3fd8290c9fd29574c538f6790ff011ff8eef5b2a2061d55913346ba9408849f4ea22ea77b76b5a11cccca51712d76b9
Homepage: https://cran.r-project.org/package=setartree
Description: CRAN Package 'setartree' (SETAR-Tree - A Novel and Accurate Tree Algorithm for Global TimeSeries Forecasting)
 The implementation of a forecasting-specific tree-based model that is in
 particular suitable for global time series forecasting, as proposed in
 Godahewa et al. (2022) <arXiv:2211.08661v1>. The model uses the concept of
 Self Exciting Threshold Autoregressive (SETAR) models to define the node
 splits and thus, the model is named SETAR-Tree. The SETAR-Tree uses some
 time-series-specific splitting and stopping procedures. It trains global
 pooled regression models in the leaves allowing the models to learn
 cross-series information. The depth of the tree is controlled by conducting
 a statistical linearity test as well as measuring the error reduction
 percentage at each node split. Thus, the SETAR-Tree requires minimal
 external hyperparameter tuning and provides competitive results under its
 default configuration. A forest is developed by extending the SETAR-Tree.
 The SETAR-Forest combines the forecasts provided by a collection of diverse
 SETAR-Trees during the forecasting process.

Package: r-cran-setmethods
Architecture: all
Version: 4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qca, r-cran-admisc, r-cran-ggplot2, r-cran-ggrepel, r-cran-stargazer, r-cran-scatterplot3d, r-cran-fmsb, r-cran-betareg
Filename: pool/dists/focal/main/r-cran-setmethods_4.1-1.ca2004.1_all.deb
Size: 537776
MD5sum: b76733f9011255b4138abdd7034817ae
SHA1: 4121bcd35a4c82349d72489122a45ee6d2947dee
SHA256: 261847949d0c06b7829befdd0139b6d4d8135c213910ec3e18dab696780607ac
SHA512: 924cd250e7e570d3b0597abd6988dc63d4f62c28bc66b44f4f1f0b4a6686b3fdd18bcf05f51246d57941c1530bf1cc6facba21c61c8dae79b230ce1ec0b2cfa4
Homepage: https://cran.r-project.org/package=SetMethods
Description: CRAN Package 'SetMethods' (Functions for Set-Theoretic Multi-Method Research and AdvancedQCA)
 Functions for performing set-theoretic multi-method research, QCA for
 clustered data, theory evaluation, Enhanced Standard Analysis, indirect
 calibration, radar visualisations. Additionally it includes data to
 replicate the examples in the books by Oana, I.E, C. Q. Schneider, and E.
 Thomann. Qualitative Comparative Analysis (QCA) using R: A Beginner's Guide.
 Cambridge University Press and C. Q. Schneider and C. Wagemann "Set
 Theoretic Methods for the Social Sciences", Cambridge University Press.

Package: r-cran-setpath
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-setpath_1.0-1.ca2004.1_all.deb
Size: 92584
MD5sum: f569d208b69d026c37bfb3474caa4bde
SHA1: 7b71ce0684cce62ca046571aa5824046c404bb8d
SHA256: 63b3d633cdedecc3071dbc01996b64cc3c83b02ad34019de95067c3697defefe
SHA512: 6e6d9ff2e5b8cac5424b7d1207598b362dcdf1460459f5e4f35bfcf9c354ba6d27df8ede00f4a51891882ccfc9447c2c6670f614328864ce589bd0debefbb5b3
Homepage: https://cran.r-project.org/package=SETPath
Description: CRAN Package 'SETPath' (Spiked Eigenvalue Test for Pathway data)
 Tests gene expression data from a biological pathway for biologically
 meaningful differences in the eigenstructure between two classes.
 Specifically, it tests the null hypothesis that the two classes' leading
 eigenvalues and sums of eigenvalues are equal.  A pathway's leading
 eigenvalue arguably represents the total variability due to variability in
 pathway activity, while the sum of all its eigenvalues represents the
 variability due to pathway activity and to other, unregulated causes.
 Implementation of the method described in Danaher (2015), "Covariance-based
 analyses of biological pathways".

Package: r-cran-setrank
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 634
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-data.table, r-cran-igraph
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-setrank_1.1.0-1.ca2004.1_all.deb
Size: 529212
MD5sum: 99c20f39eb41c280df3adc088f77ecb4
SHA1: 30902ddda6e51c5e2dec6e94e6ac7fd85a9bbe25
SHA256: ba86ec5699779a078b850fc0e550973f759b2a521b89add4aad4160762cbbc1a
SHA512: a6c6ca0a4b88ee3f5b8c8d364ac395709c3fee8e4d3200621264f1863d3f0a81c6c8e39869c468f41e2c873a0d7fec3b13e544b785e05bb82c14e57c909bc7be
Homepage: https://cran.r-project.org/package=SetRank
Description: CRAN Package 'SetRank' (Advanced Gene Set Enrichment Analysis)
 Implements an algorithm to conduct advanced gene set enrichment analysis on
 the results of genomics experiments.

Package: r-cran-setrng
Architecture: all
Version: 2024.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-setrng_2024.2-1-1.ca2004.1_all.deb
Size: 54600
MD5sum: 2796a5b73c9b1294ca899b34e742fbda
SHA1: 76709eecad7b40ae1e8fa9080ecc6d917f722fae
SHA256: 2ef360f6fe772a9f5bc9ea3bbfaa3eb5e0deb3a9ee0de2261e65e72b1e000738
SHA512: bde23d0b48a1890e1222d5d6f845acceb9725b16d78a688967f40adf6900b62d0f7c2e6dbbe0315a54ef0c8028028e48d27bf7b7ade80428b82ed7eb730082e0
Homepage: https://cran.r-project.org/package=setRNG
Description: CRAN Package 'setRNG' (Set (Normal) Random Number Generator and Seed)
 Provides utilities to help set and record the setting of the seed and the
 uniform and normal generators used when a random experiment is run. The
 utilities can be used in other functions that do random experiments to
 simplify recording and/or setting all the necessary information for
 reproducibility.  See the vignette and reference manual for examples.

Package: r-cran-setter
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base
Suggests: r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-setter_0.0-1-1.ca2004.1_all.deb
Size: 22444
MD5sum: b4b384ee41c7e72ff36b937a12915f58
SHA1: 64f64e960854952812699f48f54025a9d6023f6f
SHA256: 3b4bde03f9a53a4528fcc8a289d49331f1148a6a37c0b2a57e3a5bb569262004
SHA512: 2f95c18dd74af27c93890fd98e4e0e26a360baad2a1c66ec3ebdc99b9901e4a28411d242d402b5bcb3fa0e8dbee0c0b04020bc5f2668f08b281e651c8ff31553
Homepage: https://cran.r-project.org/package=setter
Description: CRAN Package 'setter' (Mutators that Work with Pipes)
 Mutators to set attributes of variables, that work well in a pipe (much like
 stats::setNames()).

Package: r-cran-settest
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-settest_0.3.0-1.ca2004.1_all.deb
Size: 93884
MD5sum: 18f74593dfa49158d252fc300daf5440
SHA1: b76225ab1875f44dfc52308c13d14bb35ff3de0d
SHA256: 74c7de4ea97029a7e9638c1f08a1674869d0d8ba5cb28b34c646dc3bfeb29d9d
SHA512: f3de38cd8d028a374f9ef699d4f588473dd9338bc24861ff673456640019e59eda1f2be8fdc8dbcc80f002aed315830e36063178507d508cbdff014bdbda15f5
Homepage: https://cran.r-project.org/package=SetTest
Description: CRAN Package 'SetTest' (Group Testing Procedures for Signal Detection andGoodness-of-Fit)
 It provides cumulative distribution function (CDF), quantile, p-value,
 statistical power calculator and random number generator for a collection of
 group-testing procedures, including the Higher Criticism tests, the
 one-sided Kolmogorov-Smirnov tests, the one-sided Berk-Jones tests, the
 one-sided phi-divergence tests, etc. The input are a group of p-values.  The
 null hypothesis is that they are i.i.d. Uniform(0,1). In the context of
 signal detection, the null hypothesis means no signals. In the context of
 the goodness-of-fit testing, which contrasts a group of i.i.d. random
 variables to a given continuous distribution, the input p-values can be
 obtained by the CDF transformation. The null hypothesis means that these
 random variables follow the given distribution. For reference, see [1]Hong
 Zhang, Jiashun Jin and Zheyang Wu.  "Distributions and power of optimal
 signal-detection statistics in finite case", IEEE Transactions on Signal
 Processing (2020) 68, 1021-1033; [2] Hong Zhang and Zheyang Wu.  "The
 general goodness-of-fit tests for correlated data", Computational Statistics
 & Data Analysis (2022) 167, 107379.

Package: r-cran-settings
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-settings_0.2.7-1.ca2004.1_all.deb
Size: 56192
MD5sum: 147ff71409f41ccbdaed3040817f9057
SHA1: 5843593062747bbbfb03f867dcac3b438153f2e4
SHA256: 6fa42f9e69cc43ab6e93012b3d01e6da499fdcfb42a772c2909136c899fb1821
SHA512: 93ef20aff52dc64eb9e3092ffc5741e547480209a42197a9010477c6acc62b078b4490cd6351376dc4f98a748bce86aa5b3eb07d90023250612482b4df48bea5
Homepage: https://cran.r-project.org/package=settings
Description: CRAN Package 'settings' (Software Option Settings Manager for R)
 Provides option settings management that goes beyond R's default 'options'
 function. With this package, users can define their own option settings
 manager holding option names, default values and (if so desired) ranges or
 sets of allowed option values that will be automatically checked. Settings
 can then be retrieved, altered and reset to defaults with ease. For R
 programmers and package developers it offers cloning and merging
 functionality which allows for conveniently defining global and local
 options, possibly in a multilevel options hierarchy. See the package
 vignette for some examples concerning functions, S4 classes, and reference
 classes. There are convenience functions to reset par() and options() to
 their 'factory defaults'.

Package: r-cran-settingssync
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-googledrive, r-cran-jsonlite, r-cran-rappdirs, r-cran-tibble, r-cran-yesno
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-settingssync_3.0.2-1.ca2004.1_all.deb
Size: 38800
MD5sum: 32d9791b6ffae4f0cb49c724e9878474
SHA1: d2e4769c72676ce43867dd3574e89a3cc9b52a70
SHA256: f911851242ac4f60a83a935247e8d742fdce14cf1954b787d8038ea486377f70
SHA512: 343daead44c10b942753188a819a1759ea99189ac8e478dc352233f43bcfa34c7cabbe79c5b366d4195518c5f12527622d02e0f38b06676fc2d49af36a92dcad
Homepage: https://cran.r-project.org/package=settingsSync
Description: CRAN Package 'settingsSync' ('Rstudio' Addin to Sync Settings and Keymaps)
 Provides a 'Rstudio' addin to download, merge and upload 'Rstudio' settings
 and keymaps, essentially 'syncing them' at will. It uses 'Google Drive' as a
 cloud storage to keep the settings and keymaps files.

Package: r-cran-seuratexplorer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1738
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-seurat, r-cran-shiny, r-cran-shinydashboard, r-cran-dt, r-cran-shinycssloaders, r-cran-patchwork, r-cran-colourpicker, r-cran-shinywidgets, r-cran-scales, r-cran-seuratobject, r-cran-shinyjqui, r-cran-shinybs, r-cran-ggalluvial, r-cran-dplyr, r-bioc-complexheatmap, r-cran-qs2, r-cran-circlize, r-cran-reshape2, r-cran-htmltools
Suggests: r-cran-biocmanager, r-bioc-deseq2, r-bioc-mast, r-cran-roxygen2, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-seuratexplorer_0.1.0-1.ca2004.1_all.deb
Size: 1456772
MD5sum: d53475f7c6d17fa2e6e0267e03acd422
SHA1: da1d6befc5916cd416395ea7db398784644fb2ec
SHA256: b3d2c6a445d1fc19eb5f407903df244d33ca19af40255adc52ef5a299eec8f4f
SHA512: c431acaaedd0b0eac0928a5df4560e0c8511a63e144db16ae33dd1231d53d85dfb9935192bd7aa059000a79d7d3ffc283c58877467b43ff717f95925cb0909db
Homepage: https://cran.r-project.org/package=SeuratExplorer
Description: CRAN Package 'SeuratExplorer' (An 'Shiny' App for Exploring scRNA-seq Data Processed in'Seurat')
 A simple, one-command package which runs an interactive dashboard capable of
 common visualizations for single cell RNA-seq. 'SeuratExplorer' requires a
 processed 'Seurat' object, which is saved as 'rds' or 'qs2' file.

Package: r-cran-sevenbridges2
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-r6, r-cran-purrr, r-cran-jsonlite, r-cran-cli, r-cran-rlang, r-cran-curl, r-cran-glue, r-cran-stringr, r-cran-checkmate, r-cran-desctools, r-cran-yaml, r-cran-readr, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-stringi, r-cran-withr, r-cran-remotes, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-sevenbridges2_0.4.0-1.ca2004.1_all.deb
Size: 2010476
MD5sum: 30195d896e5bb7cd4a867e65f638a411
SHA1: f780e0235e6e0c1597a07380e2003537342b501f
SHA256: b49fa07e9290fa8fe4f5855ceb5f8888199a26960312149edb065c1a8a46fb7e
SHA512: 00bad1506a73e694feadee65229ac5c4aa2f28c6291137115e3d2db85b2353018c890db66dc53245dca64f609aeb23eb15b84768ca8ff4e183db87e48afaade4
Homepage: https://cran.r-project.org/package=sevenbridges2
Description: CRAN Package 'sevenbridges2' (The 'Seven Bridges Platform' API Client)
 R client and utilities for 'Seven Bridges Platform' API, from 'Cancer
 Genomics Cloud' to other 'Seven Bridges' supported platforms. API
 documentation is hosted publicly at
 <https://docs.sevenbridges.com/docs/the-api>.

Package: r-cran-sever
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-sever_0.0.7-1.ca2004.1_all.deb
Size: 89688
MD5sum: 7698deb8e8e293def21ebdd6f92c9685
SHA1: 492dccd834f0a677eb108d5d30bfc5ee6e2ff07a
SHA256: 09ce190511733dd8267a5a6ce5c5f6b60ee3610af70370a1f468def13b7b9f09
SHA512: 1fa2987547b84f17ccdc2666a1a76ea57a92057380549d2d8d02e08b8dca0d146a0eae2266cf688b2251135dea328fc3abd06b5949514102e8ae0ce2048b12f0
Homepage: https://cran.r-project.org/package=sever
Description: CRAN Package 'sever' (Customise 'Shiny' Disconnected Screens and Error Messages)
 Customise 'Shiny' disconnected screens as well as sanitize error messages to
 make them clearer and friendlier to the user.

Package: r-cran-severity
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-severity_2.0-1.ca2004.1_all.deb
Size: 25000
MD5sum: a12379e4aaa349678606c806dfb2af3a
SHA1: 3b023dcb3a2b89046615adf193ed59ce991bf775
SHA256: 3999a870d1b7ff9ec6dbeb8641bf4250db4d3c6c0c3b4f41da896f01eda05d58
SHA512: fd9dde498e2f5b8f10237c58def764dd56be6948c28282a1501a7a9f31e34a25a3ad6a3ae6edc200c4a6ceb4f7494d1b89615f8000a5bc787d7c48b7fea2b4fc
Homepage: https://cran.r-project.org/package=severity
Description: CRAN Package 'severity' (Mayo's Post-data Severity Evaluation)
 This package contains functions for calculating severity and generating
 severity curves. Specifically, the simple case of the one-parameter Normal
 distribution (i.e., with known variance) is considered.

Package: r-cran-sewage
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-diagrammer, r-cran-glue, r-cran-cli
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-sewage_0.2.5-1.ca2004.1_all.deb
Size: 118400
MD5sum: d25ceac205b499b40ed05c9fc71291f5
SHA1: 690e571b94f5b3c1635a1eee04c213e3de2516f1
SHA256: d503f49e660a526fff557b1f39de3c90ca946ea9ad63f9c03c671213585454d0
SHA512: 6a9ac41469df721b0f4f43a76d2081aeb382a9c00b1159e1eaaba09096c04c675745feace2dc165e0ce6af355661cea801d72580a5ae1000a439a7265d551fcc
Homepage: https://cran.r-project.org/package=sewage
Description: CRAN Package 'sewage' (A Light-Weight Data Pipelining Tool)
 Provides a simple interface to developing complex data pipelines which can
 be executed in a single call.  'sewage' makes it easy to test, debug, and
 share data pipelines through it's interface and visualizations.

Package: r-cran-sfa
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sfa_1.0-1-1.ca2004.1_all.deb
Size: 44672
MD5sum: 306458c765aa8238deea473a2c4c268c
SHA1: 986b4d68dc2c908dae91ce414119366cd0d611a5
SHA256: e77afcde472874117eebf272eb62cf794f25f43e535099a3e0bbf64348d9c192
SHA512: 9f783db267031ae83dbacb2576c1c09b584199acf40f2f16a5c4508e539cea94805a24a36c4b9ba64da3e3e6d15cf6c576d92f68df4c907df59836c001f6f848
Homepage: https://cran.r-project.org/package=sfa
Description: CRAN Package 'sfa' (Stochastic Frontier Analysis)
 Stochastic Frontier Analysis introduced by Aigner, Lovell and Schmidt (1976)
 and Battese and Coelli (1992, 1995).

Package: r-cran-sfadv
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gmm, r-cran-minpack.lm
Filename: pool/dists/focal/main/r-cran-sfadv_1.0.1-1.ca2004.1_all.deb
Size: 172496
MD5sum: 559602cbfe1eeb9308896ea2b6eaf4ea
SHA1: c321822bafd4b58c8ddcbcb6709b10a446931960
SHA256: e2f7c20dd73b5d71b8ab748b2488b3bc97f19d6553ad4a3b7aa72c6c03fbc448
SHA512: 00e2fdce5b55abca01781bb5f318cad6609a0f5bd3ae5ab3c6aa86fa10824ad761ae05f2e3d6d0d31661bde58f422b5e3c90d0493626640eb8308edd72d25b77
Homepage: https://cran.r-project.org/package=sfadv
Description: CRAN Package 'sfadv' (Advanced Methods for Stochastic Frontier Analysis)
 Stochastic frontier analysis with advanced methods.  In particular, it
 applies the approach proposed by Latruffe et al. (2017)
 <DOI:10.1093/ajae/aaw077> to estimate a stochastic frontier with technical
 inefficiency effects when one input is endogenous.

Package: r-cran-sfar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3222
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cubature, r-cran-fastghquad, r-cran-formula, r-cran-marqlevalg, r-cran-maxlik, r-cran-mnorm, r-cran-nleqslv, r-cran-plm, r-cran-qrng, r-cran-randtoolbox, r-cran-sandwich, r-cran-texreg, r-cran-trustoptim, r-cran-ucminf
Suggests: r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-sfar_1.0.1-1.ca2004.1_all.deb
Size: 2549096
MD5sum: 783eec16ce457dc075feec47e1ac9371
SHA1: a41a33f7d14355d6de510e30d0fb7a8bcea7bae4
SHA256: 77739918aa2b32611e2d68346f00951978f53e842df72b0175b307d0abdc1431
SHA512: 18ff5c1e09ba241935a56ceac99b7c5f43387de6654c4dcbe5b74cce4af7a1c4ada69b73084fded18486e8e8d97a0b01ccdefb1985ec626301fe3d4e2632ea65
Homepage: https://cran.r-project.org/package=sfaR
Description: CRAN Package 'sfaR' (Stochastic Frontier Analysis Routines)
 Maximum likelihood estimation for stochastic frontier analysis (SFA) of
 production (profit) and cost functions. The package includes the basic
 stochastic frontier for cross-sectional or pooled data with several
 distributions for the one-sided error term (i.e., Rayleigh, gamma, Weibull,
 lognormal, uniform, generalized exponential and truncated skewed Laplace),
 the latent class stochastic frontier model (LCM) as described in Dakpo et
 al. (2021) <doi:10.1111/1477-9552.12422>, for cross-sectional and pooled
 data, and the sample selection model as described in Greene (2010)
 <doi:10.1007/s11123-009-0159-1>, and applied in Dakpo et al. (2021)
 <doi:10.1111/agec.12683>.  Several possibilities in terms of optimization
 algorithms are proposed.

Package: r-cran-sfarrow
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 761
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-arrow, r-cran-jsonlite, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sfarrow_0.4.1-1.ca2004.1_all.deb
Size: 246360
MD5sum: 0349cc19e1378af08c1529be37dfb0cd
SHA1: 4b95e52ed1021a3e894296c30161d1c5b4dd57b4
SHA256: c802d66443ee2403cca90f1cab4e1c1fcdbfa5d8c2dde826a0c699c0407d05ee
SHA512: 4d594129e5bb0720d639ae1c20d95863cd4098e8f6102391495473bac693d043ce5bcfc34305b4cf8b9b08e3e6609b323c70f8648c94f0ad2a566d2aada2bf59
Homepage: https://cran.r-project.org/package=sfarrow
Description: CRAN Package 'sfarrow' (Read/Write Simple Feature Objects ('sf') with 'Apache' 'Arrow')
 Support for reading/writing simple feature ('sf') spatial objects from/to
 'Parquet' files. 'Parquet' files are an open-source, column-oriented data
 storage format from Apache (<https://parquet.apache.org/>), now popular
 across programming languages. This implementation converts simple feature
 list geometries into well-known binary format for use by 'arrow', and
 coordinate reference system information is maintained in a standard metadata
 format.

Package: r-cran-sfc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-triangle, r-cran-zoo, r-cran-sna
Filename: pool/dists/focal/main/r-cran-sfc_0.1.0-1.ca2004.1_all.deb
Size: 40056
MD5sum: 372e4e2b2974a352855b8f476e1263bd
SHA1: a3b11adecbd446c3ed70cb875eaf2aa68e1479c1
SHA256: eb92df3d5dd0aea929f1be914c65dc8f6d6fde7a651d2e20f4ed894962cc34b9
SHA512: 4c67c062bc417a8686045c7d4d57ccc1ccaf56c05ec4ca85843c498308e9f4007bdfbddbc3ef8bbc20887afd12a08e96ff1e63cd36a87f4ba0d179f1958d51b5
Homepage: https://cran.r-project.org/package=sfc
Description: CRAN Package 'sfc' (Substance Flow Computation)
 Provides a function sfc() to compute the substance flow with the input files
 --- "data" and "model". If sample.size is set more than 1, uncertainty
 analysis will be executed while the distributions and parameters are
 supplied in the file "data".

Package: r-cran-sfcentral
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geodist, r-cran-hmisc, r-cran-lwgeom, r-cran-scales, r-cran-sf
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfcentral_0.1.0-1.ca2004.1_all.deb
Size: 43876
MD5sum: 9fce526b02b90c812b52fd50423d9532
SHA1: 72a810795704317784f1a7070f5b8094ef039c06
SHA256: 0d07fd60c619fd391b1facc3df59bf0fb8fc0d234df2c8764ae4fa5b5b25be6f
SHA512: 5809455aed3199f20fddcd1f7b6630b3de09cbd6fa8f34a4ec602e2a4502cb6a824051dc89b92bf7ca97a20c39306a648fbd3f10b4e1d51b87e969e8af3a02f3
Homepage: https://cran.r-project.org/package=sfcentral
Description: CRAN Package 'sfcentral' (Spatial Centrality and Dispersion Statistics)
 Computing centrographic statistics (central points, standard distance,
 standard deviation ellipse, standard deviation box) for observations taken
 at point locations in 2D or 3D. The 'sfcentral' library was inspired in
 'aspace' package but conceived to be used in a spatial 'tidyverse' context.

Package: r-cran-sfclust
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4947
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cubelyr, r-cran-igraph, r-cran-sf, r-cran-sparsem, r-cran-stars, r-cran-dplyr, r-cran-matrix
Suggests: r-cran-ggplot2, r-cran-ggraph, r-cran-class, r-cran-fda, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfclust_1.0.1-1.ca2004.1_all.deb
Size: 3745748
MD5sum: d43328d25a39c66f30a5faa7bec28329
SHA1: b89df8e5b4ea1ed792a08d9f53d1e05fd46d2ec0
SHA256: f7d1a2f84a0f342621467b35bdb4dddedff3d6865d77a69584226fd1afccffe3
SHA512: f88f4ee72ebbb6db689e2d202bd145591dd3279be5188e5c3a1e96fd74b5951647d029e233913746969297a32a694b7b37e5f9c5c3bc6045ddf490df610fe320
Homepage: https://cran.r-project.org/package=sfclust
Description: CRAN Package 'sfclust' (Bayesian Spatial Functional Clustering)
 Bayesian clustering of spatial regions with similar functional shapes using
 spanning trees and latent Gaussian models. The method enforces spatial
 contiguity within clusters and supports a wide range of latent Gaussian
 models, including non-Gaussian likelihoods, via the R-INLA framework. The
 algorithm is based on Zhong, R., Chacón-Montalván, E. A., and Moraga, P.
 (2024) <doi:10.48550/arXiv.2407.12633>, extending the approach of Zhang, B.,
 Sang, H., Luo, Z. T., and Huang, H. (2023) <doi:10.1214/22-AOAS1643>. The
 package includes tools for model fitting, convergence diagnostics,
 visualization, and summarization of clustering results.

Package: r-cran-sfd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-cli, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfd_0.1.0-1.ca2004.1_all.deb
Size: 2476164
MD5sum: 80ff56fab0af58402f049294fdc8274a
SHA1: b7d9f2bc5a3046b40cd57b8ddec6058191009b25
SHA256: 69d896371d4d62749f6dd4c5b8a2df1882ee5789727defd6ba3a06d245d72d83
SHA512: dc0c7806ff415ca25457a1c581d6ffe4b4da0b12310636eec1b33db037c8db02733ce0302f9cdcd618787c6d65a9e9cba6dfe584b2896fe089266ac28b7554ab
Homepage: https://cran.r-project.org/package=sfd
Description: CRAN Package 'sfd' (Space-Filling Design Library)
 A collection of pre-optimized space-filling designs, for up to ten
 parameters, is contained here. Functions are provided to access designs
 described by Husslage et al (2011) <doi:10.1007/s11081-010-9129-8> and Wang
 and Fang (2005) <doi:10.1142/9789812701190_0040>. The design types included
 are Audze-Eglais, MaxiMin, and uniform.

Package: r-cran-sfdct
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3940
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rtriangle, r-cran-sf, r-cran-sp, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-viridislite
Filename: pool/dists/focal/main/r-cran-sfdct_0.3.0-1.ca2004.1_all.deb
Size: 2882084
MD5sum: b25218df33143411186568d93fab8e5b
SHA1: a84b37289159ae26ae59b16d24dce9442f78ad66
SHA256: ca6d18372cad61229c545f43714ecf16d592d9d0d6924e2912859b30345b6135
SHA512: e93cb81d79bd4ebe5bffb77a28fea0c21fcef934d031dcb66460035b0b91963ec667b77e3f1c5b8153b942ad0253b5cd8c4a36f3161ba8933623c7cde16026c7
Homepage: https://cran.r-project.org/package=sfdct
Description: CRAN Package 'sfdct' (Constrained Triangulation for Simple Features)
 Build a constrained high quality Delaunay triangulation from simple features
 objects, applying constraints based on input line segments, and triangle
 properties including maximum area, minimum internal angle. The triangulation
 code in 'RTriangle' uses the method of Cheng, Dey and Shewchuk (2012,
 ISBN:9781584887300). For a low-dependency alternative with low-quality
 path-based constrained triangulation see
 <https://CRAN.R-project.org/package=decido> and for high-quality
 configurable triangulation see <https://github.com/hypertidy/anglr>. Also
 consider comparison with the 'GEOS' lib which since version 3.10.0 includes
 a low quality polygon triangulation method that starts with ear clipping and
 refines to Delaunay.

Package: r-cran-sfdep
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1948
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-cli, r-cran-spdep, r-cran-rlang
Suggests: r-cran-broom, r-cran-dbscan, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-patchwork, r-cran-purrr, r-cran-pracma, r-cran-rmarkdown, r-cran-sfnetworks, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-yaml, r-cran-zoo, r-cran-kendall, r-cran-igraph, r-cran-tidygraph
Filename: pool/dists/focal/main/r-cran-sfdep_0.2.5-1.ca2004.1_all.deb
Size: 1050060
MD5sum: a7b7420c6d0c3dd765d36f3fc6c6a729
SHA1: bf311a61978399f396ded76694fe0690e1eab09c
SHA256: 1fb8ec137e2bec3b20efbfec648140d8d3cda9beccd2bbdd37dc026fab4ac904
SHA512: 7da8c8f00f2353f5d5550f6a44b8258a11b9d0c64bb777396c375b0b8ece5ac3f767616cca512ad4276a4882daeeba43385c53f2bd269f6d8a07cacbdaa3b68a
Homepage: https://cran.r-project.org/package=sfdep
Description: CRAN Package 'sfdep' (Spatial Dependence for Simple Features)
 An interface to 'spdep' to integrate with 'sf' objects and the 'tidyverse'.

Package: r-cran-sfflhd
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doe.base, r-cran-conf.design, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfflhd_0.1.2-1.ca2004.1_all.deb
Size: 189260
MD5sum: d5bf97fad927a976aa1d64100a76eca8
SHA1: 078614cad43e19f8261f0e688b79af0144835c36
SHA256: a178f378e46dac4744e128ba825728050a92e53ceddcaa3bb76ebf5863572d94
SHA512: 628fefe6cdea5cd913b1745de00bb4e0b75a0ac6c72bc104d60cd42c6ab5a73c7bc23631a28c4955f0a716a504f89f4bc062bcea4f0d091f7520836e3e06c1cb
Homepage: https://cran.r-project.org/package=sFFLHD
Description: CRAN Package 'sFFLHD' (Sequential Full Factorial-Based Latin Hypercube Design)
 Gives design points from a sequential full factorial-based Latin hypercube
 design, as described in Duan, Ankenman, Sanchez, and Sanchez (2015,
 Technometrics, <doi:10.1080/00401706.2015.1108233>).

Package: r-cran-sfhelper
Architecture: all
Version: 0.2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-rjson, r-cran-mapview, r-cran-sf, r-cran-stringr, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfhelper_0.2.2.0-1.ca2004.1_all.deb
Size: 35016
MD5sum: f0307fcc02c86b137b29bf8d890c0323
SHA1: 1dab0f74fcd05170b811fdb9c255a5845fec1f92
SHA256: d6124557075afc7a8eb2ae9740d2fa5e79e15246ec4e707f5074a1948bddf2f4
SHA512: 281b3f96805a74dbbe18a144e0b8ca6190c42ec27cdd5bb7ec59e073a77d75e83054c613f2b1eb0408dbf127c7e810000a09c305b4c9e6d3928276a10a152585
Homepage: https://cran.r-project.org/package=sfhelper
Description: CRAN Package 'sfhelper' (Repair Functions for 'sf' Package Objects)
 A group of functions that support the 'sf' package, focused primarily on
 repairing polygons that break when re-projected.

Package: r-cran-sfhotspot
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-rlang, r-cran-sf, r-cran-spatialkde, r-cran-spdep, r-cran-tibble
Suggests: r-cran-testthat, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-ggspatial
Filename: pool/dists/focal/main/r-cran-sfhotspot_0.9.1-1.ca2004.1_all.deb
Size: 1090208
MD5sum: 1ab96293e98625edbb107a07454cfbff
SHA1: 2ed05749bc6f7b7c12c8b57328ffeb591ec92e4f
SHA256: 94f5f3c9e1955cb5a287ff8fdc5709dc4e929cc4ce8ec12a0d387d20fa9f9f1d
SHA512: 8689a50a5d27c89e9ce3e227ed361f801a8cd0ea33978013cc32d5651ed6ca0b392f527c5cef78ca9c966cb70d3be762cdfd3c8ea99c1713ab5aebf4d678444e
Homepage: https://cran.r-project.org/package=sfhotspot
Description: CRAN Package 'sfhotspot' (Hot-Spot Analysis with Simple Features)
 Identify and understand clusters of points (typically representing the
 locations of places or events) stored in simple-features (SF) objects.  This
 is useful for analysing, for example, hot-spots of crime events. The package
 emphasises producing results from point SF data in a single step using
 reasonable default values for all other arguments, to aid rapid data
 analysis by users who are starting out. Functions available include kernel
 density estimation (for details, see Yip (2020)
 <doi:10.22224/gistbok/2020.1.12>), analysis of spatial association (Getis
 and Ord (1992) <doi:10.1111/j.1538-4632.1992.tb00261.x>) and hot-spot
 classification (Chainey (2020) ISBN:158948584X).

Package: r-cran-sfinx
Architecture: all
Version: 1.7.99-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfinx_1.7.99-1.ca2004.1_all.deb
Size: 71836
MD5sum: bb872d7afc2045eee870c57a098f52fc
SHA1: 8bda8a822dc3ecb22069e7e5e6dd011a240fd784
SHA256: 3f6df007a887f446a2b2fc14587feca9ed8f274899377073f7f39cdc3eca1b31
SHA512: f3b6614f9ad60708fb7f98a4b31e252f18dbb4a623bd66d23870077547da8679d014b698e6100f43cc82b9e5d09fd341360bf24f75ff9a13731250ff9a098a7a
Homepage: https://cran.r-project.org/package=sfinx
Description: CRAN Package 'sfinx' (Straightforward Filtering Index for AP-MS Data Analysis (SFINX))
 The straightforward filtering index (SFINX) identifies true positive protein
 interactions in a fast, user-friendly, and highly accurate way.  It is not
 only useful for the filtering of affinity purification - mass spectrometry
 (AP-MS) data, but also for similar types of data resulting from other
 co-complex interactomics technologies, such as TAP-MS, Virotrap and BioID.
 SFINX can also be used via the website interface at <http://sfinx.ugent.be>.

Package: r-cran-sfislands
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4714
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-sf, r-cran-spdep, r-cran-stringr, r-cran-tidyr, r-cran-broom.mixed, r-cran-lifecycle
Suggests: r-cran-mgcv, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sfislands_1.1.2-1.ca2004.1_all.deb
Size: 2846480
MD5sum: e70dd7e50e7f573283efbd08e42f9eb8
SHA1: b6599363ec4acc22be8f1be6e5fe077c9eea4d28
SHA256: 3dd42d245467ad388c68ccedb62381d9a3615ecf8a58208379db35a08414a067
SHA512: 89716793caeebd891de5589c7ac5d6679b366b399cfea3e69201b7e3c5fb534015265a10509270aa8c48f41f918b662039e687e206283e1414d97854f507836f
Homepage: https://cran.r-project.org/package=sfislands
Description: CRAN Package 'sfislands' (Streamlines the Process of Fitting Areal Spatial Models)
 Helpers for addressing the issue of disconnected spatial units.  It allows
 for convenient adding and removal of neighbourhood connectivity between
 areal units prior to modelling, with the visual aid of maps.
 Post-modelling, it reduces the human workload for extracting, tidying and
 mapping predictions from areal models.

Package: r-cran-sfm
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1485
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-sopc, r-cran-matrixcalc, r-cran-sn, r-cran-psych
Suggests: r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sfm_0.2.1-1.ca2004.1_all.deb
Size: 1483952
MD5sum: 65d4e86d5ef36d2166b7d673bed70c85
SHA1: b4e4df2e8d821a84f4a8feda7e8b4cb471dcb7a2
SHA256: 3ba5067fa9780f439a9b1536e96fa592d877fe4ff7276667e42fbc849528fb34
SHA512: 26bb4c7f9c94fdec274fd15fdbc93b722d6fa1cda7dbba50489d6cf20d321ae3b55966e4e34de0c4aa031ce745e36b601f6f9834c146716b77e464f5cbecacef
Homepage: https://cran.r-project.org/package=SFM
Description: CRAN Package 'SFM' (A Package for Analyzing Skew Factor Models)
 Generates Skew Factor Models data and applies Sparse Online Principal
 Component (SOPC), Incremental Principal Component (IPC), Projected Principal
 Component (PPC), Perturbation Principal Component (PPC), Stochastic
 Approximation Principal Component (SAPC), Sparse Principal Component (SPC)
 and other PC methods to estimate model parameters. It includes capabilities
 for calculating mean squared error, relative error, and sparsity of the
 loading matrix.The philosophy of the package is described in Guo G. (2023)
 <doi:10.1007/s00180-022-01270-z>.

Package: r-cran-sfnetworks
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-igraph, r-cran-lwgeom, r-cran-rlang, r-cran-sf, r-cran-sfheaders, r-cran-tibble, r-cran-tidygraph, r-cran-units
Suggests: r-cran-dbscan, r-cran-fansi, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-s2, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-testthat, r-cran-tsp
Filename: pool/dists/focal/main/r-cran-sfnetworks_0.6.5-1.ca2004.1_all.deb
Size: 2642208
MD5sum: 0c522129042bd2ba201d1556fbedb0ec
SHA1: de0bc49d6ea6d9288c2fcef4f08fafb679f55cd0
SHA256: ae0a8b88e1aacaad436737291b28322be60f04c39d9bcb37d1f5af28903747ba
SHA512: 5c6bda04aa9e1fc39a9027c6daac84cc09b17ce099d528d0b6d0f30deb041e6d2b2f735980d89cec3c2c3a61ac02a0f561c1fad0a702a9f8ff3af890dba6481b
Homepage: https://cran.r-project.org/package=sfnetworks
Description: CRAN Package 'sfnetworks' (Tidy Geospatial Networks)
 Provides a tidy approach to spatial network analysis, in the form of classes
 and functions that enable a seamless interaction between the network
 analysis package 'tidygraph' and the spatial analysis package 'sf'.

Package: r-cran-sfo
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5854
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-dplyr, r-cran-magrittr, r-cran-plotly, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-sfo_0.1.2-1.ca2004.1_all.deb
Size: 1810300
MD5sum: 9da63edb1532109607567a741a9a2122
SHA1: 105a177461c3993b2f4f4e6df57db126340a20dc
SHA256: 3cfe0422123369af732d7b1e59f3eb0da29d5d8964687b52136939a8d366d0ea
SHA512: 615e5c553ff0e14379ccf63630f59ae918b136fe50482f84c5b6d4b2b189f5d612811162c51d5f986eb8dd7c3e1fa7ca7aa61cf01b3f524e919f2169e3d8d68b
Homepage: https://cran.r-project.org/package=sfo
Description: CRAN Package 'sfo' (San Francisco International Airport Monthly Air Passengers)
 Provides monthly statistics on the number of monthly air passengers at SFO
 airport such as operating airline, terminal, geo, etc.  Data source: San
 Francisco data portal (DataSF)
 <https://data.sfgov.org/Transportation/Air-Traffic-Passenger-Statistics/rkru-6vcg>.

Package: r-cran-sfpl
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-sfpl_1.0.0-1.ca2004.1_all.deb
Size: 44724
MD5sum: a01762601b7e2d112ed0d5fd540135cb
SHA1: cc4c7dabb281d9263dec28fab2687f6ff27b3b94
SHA256: 832d68a7ad1af4a8518f7b46819b1eae6cb4fa635d3c2c0633a5378b6fa3d3b0
SHA512: f78363caf48987f786c93432c23a64444d0e53f1b52eac680c4ef267301643844e841275af33014f5376d9fecbf2e8751b283394b156eed258a99e7f9e542742
Homepage: https://cran.r-project.org/package=SFPL
Description: CRAN Package 'SFPL' (Sparse Fused Plackett-Luce)
 Implements the methodological developments found in Hermes, van Heerwaarden,
 and Behrouzi (2024) <doi:10.48550/arXiv.2308.04325>, and allows for the
 statistical modeling of multi-group rank data in combination with object
 variables. The package also allows for the simulation of synthetic
 multi-group rank data.

Package: r-cran-sfsmisc
Architecture: all
Version: 1.1-20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 750
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-cluster, r-cran-lattice, r-cran-mass, r-cran-matrix, r-cran-nlme, r-cran-lokern, r-cran-rmpfr, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-sfsmisc_1.1-20-1.ca2004.1_all.deb
Size: 645324
MD5sum: 98fb53c95ad1907df7c7f657e7006de1
SHA1: 29586d41892f046a65100cd40a224b60e58d35b8
SHA256: 8e7e07e05abe5a691bfc9651d6b590fae39c6d68631f974389e020c840806b02
SHA512: 4be4367706b87e4077e93b92bb3270536ee72a08e89c4617390055efc2548890a5d9683a8f6271eaf3b2707520676e0368d9c10494891d998801ff561ffd9433
Homepage: https://cran.r-project.org/package=sfsmisc
Description: CRAN Package 'sfsmisc' (Utilities from 'Seminar fuer Statistik' ETH Zurich)
 Useful utilities ['goodies'] from Seminar fuer Statistik ETH Zurich, some of
 which were ported from S-plus in the 1990s.  For graphics, have pretty
 (Log-scale) axes eaxis(), an enhanced Tukey-Anscombe plot, combining
 histogram and boxplot, 2d-residual plots, a 'tachoPlot()', pretty arrows,
 etc.  For robustness, have a robust F test and robust range().  For system
 support, notably on Linux, provides 'Sys.*()' functions with more access to
 system and CPU information.  Finally, miscellaneous utilities such as simple
 efficient prime numbers, integer codes, Duplicated(), toLatex.numeric() and
 is.whole().

Package: r-cran-sft
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 994
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-suppdists
Filename: pool/dists/focal/main/r-cran-sft_2.4-1.ca2004.1_all.deb
Size: 939528
MD5sum: 884a4acf4c8db34548225ad0b19a1efa
SHA1: 696860587380208cbedee5da85f960e4a3dc2118
SHA256: 3e4e62a397e9d100f73f517ba2fefea2675920094f78075168a318ccac2af653
SHA512: e65dab0fef986fb900b09bb0a16d5b26e6313a2ab79b3e10f99fb0907c284e683910b4ad92755b1c735eb9c49ff3d0a50ab52a701b1710c36573343924d8a901
Homepage: https://cran.r-project.org/package=sft
Description: CRAN Package 'sft' (Functions for Systems Factorial Technology Analysis of Data)
 A series of tools for analyzing Systems Factorial Technology data.  This
 includes functions for plotting and statistically testing capacity
 coefficient functions and survivor interaction contrast functions.  Houpt,
 Blaha, McIntire, Havig, and Townsend (2013) <doi:10.3758/s13428-013-0377-3>
 provide a basic introduction to Systems Factorial Technology along with
 examples using the sft R package.

Package: r-cran-sftime
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-knitr, r-cran-spacetime, r-cran-rmarkdown, r-cran-dplyr, r-cran-trajectories, r-cran-stars, r-cran-ncmeta, r-cran-tidyr, r-cran-ggplot2, r-cran-magrittr, r-cran-sp, r-cran-rlang, r-cran-vctrs, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-sftrack, r-cran-cubble
Filename: pool/dists/focal/main/r-cran-sftime_0.3.0-1.ca2004.1_all.deb
Size: 168384
MD5sum: 56b61575eea69153038588ed6b91271c
SHA1: d6e1976bcbdd8a88c4f9cf4a3434f6a62369c9d6
SHA256: baf643e108525c66ee8dc74d136bb8930847df21bfea7af41103df16d0b640c2
SHA512: 7c95b1ac89fe72ffbe94065bbda2868d6e2a10e25237e3a907316770727ada6ecc280d55d69b89b4bd1965b59f1ca762fd7bac2611b6411e3467a770cc9e92da
Homepage: https://cran.r-project.org/package=sftime
Description: CRAN Package 'sftime' (Classes and Methods for Simple Feature Objects that Have a TimeColumn)
 Classes and methods for spatial objects that have a registered time column,
 in particular for irregular spatiotemporal data. The time column can be of
 any type, but needs to be ordinal. Regularly laid out spatiotemporal data
 (vector or raster data cubes) are handled by package 'stars'.

Package: r-cran-sftools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wordspace, r-cran-doparallel, r-cran-ff
Filename: pool/dists/focal/main/r-cran-sftools_0.1.0-1.ca2004.1_all.deb
Size: 34468
MD5sum: 9a250c13a6655422f1ad814d26ba5c75
SHA1: b8d4b673c42b6898cff3b74602f5775935cbc791
SHA256: a8f0cd2827cd67f69940d23da2b6f589183bcb10957895ef594b0e185d49eb10
SHA512: 963a5ffac4a555dc7479ff2bb37fde4c5f5ec2f16fde39da91757be9d943a9dc88bbc977e8283dff80860a3330c1e1ee4683dd510ee50ec32161af8fdb282fba
Homepage: https://cran.r-project.org/package=SFtools
Description: CRAN Package 'SFtools' (Space Filling Based Tools for Data Mining)
 Contains space filling based tools for machine learning and data mining.
 Some functions offer several computational techniques and deal with the out
 of memory for large big data by using the ff package.

Package: r-cran-sftrack
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1740
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-adehabitatlt, r-cran-knitr, r-cran-geosphere, r-cran-scales, r-cran-covr, r-cran-rmarkdown, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-sftrack_0.5.4-1.ca2004.1_all.deb
Size: 1069828
MD5sum: 4004d197c97b734cc6f0cfc56328a8f3
SHA1: 6593440b9d87f3d0300b2a9b482065ebd5ccb809
SHA256: e55374b86f4bd7cbedcff247278380a118f3a7cd6c1761deff7c9ce3d5525cb7
SHA512: 5020c5306d2376901576d4bbb72dfcc994fff3e12a966bff94d767303fb8f31e9abf6dc0963e3a0e06fcb288e17dc75b307d03ff2c3914f1c466ae38701073dd
Homepage: https://cran.r-project.org/package=sftrack
Description: CRAN Package 'sftrack' (Modern Classes for Tracking and Movement Data)
 Modern classes for tracking and movement data, building on 'sf' spatial
 infrastructure, and early theoretical work from Turchin (1998, ISBN:
 9780878938476), and Calenge et al. (2009)
 <doi:10.1016/j.ecoinf.2008.10.002>. Tracking data are series of locations
 with at least 2-dimensional spatial coordinates (x,y), a time index (t), and
 individual identification (id) of the object being monitored; movement data
 are made of trajectories, i.e. the line representation of the path, composed
 by steps (the straight-line segments connecting successive locations).
 'sftrack' is designed to handle movement of both living organisms and
 inanimate objects.

Package: r-cran-sg
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-httr2, r-cran-mime, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-sg_0.2.0-1.ca2004.1_all.deb
Size: 20284
MD5sum: b36f73d9519bd00638199744a894d1a7
SHA1: 668b8b128ca3b5b81bd7eb211d5d395d1e190293
SHA256: 1e0b6262d41822393cdef35fd775c21a3b720699b9c4fe0ea7e21157bc11f456
SHA512: 7b1b68f5979da87af6b87d1245f3456143976bd0cf0f341f2c86cebd92016f1e7759ac5f14ab637e1ff4e6c1327e77fe76f71b12ab2db242d4c069d1e98421db
Homepage: https://cran.r-project.org/package=sg
Description: CRAN Package 'sg' ('SendGrid' Email API Client)
 Simple 'SendGrid' Email API client for creating and sending emails.  For
 more information, visit the official 'SendGrid' Email API documentation:
 <https://sendgrid.com/en-us/solutions/email-api>.

Package: r-cran-sgapi
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-sf, r-cran-dplyr, r-cran-httr, r-cran-readr, r-cran-xml2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sgapi_1.1.0-1.ca2004.1_all.deb
Size: 238876
MD5sum: 7516d4db89e5a6fbba72b96cd2f1afc2
SHA1: b7aba6e004d9cc4c05ddf124d2a2196b4c30ccfb
SHA256: d9311cb1c8be4ff5b30b72755b454c2fcfeafdcf7bce48eb2a9f1e67d28e88c8
SHA512: 49c229bc0ec26b23d9e61f7627ba2acf14120d102fa3e98929c7577889b08e449c227e96513be511ae70bc8a31e0b53b73c8c279daf97067779342c4e74abc56
Homepage: https://cran.r-project.org/package=sgapi
Description: CRAN Package 'sgapi' (Aid Querying 'nomis' and 'Office for National Statistics OpenGeography' APIs)
 Facilitates extraction of geospatial data from the 'Office for National
 Statistics Open Geography' and 'nomis' Application Programming Interfaces
 (APIs). Simplifies process of querying 'nomis' datasets
 <https://www.nomisweb.co.uk/> and extracting desired datasets in dataframe
 format. Extracts area shapefiles at chosen resolution from 'Office for
 National Statistics Open Geography' <https://geoportal.statistics.gov.uk/>.

Package: r-cran-sgat
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rselenium, r-cran-rcurl, r-cran-qdapregex, r-cran-dplyr, r-cran-stringr, r-cran-data.table, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgat_0.9-1.ca2004.1_all.deb
Size: 32728
MD5sum: 8286d4e4f8bceaf0ea2c3952a788295c
SHA1: 55acfbaabc8e75bbd4f288ee2facb54956058b07
SHA256: 070c0afde642f7216bce7322fb7886ad446fb61ae127fb9a9de33d0bb6b4f8f7
SHA512: 4d40a8a1f6fe512a6f8e986a02c6606d74f32ceffda02d1e7733c395b1942219a9880b6dae2d61ab872607d653fd4ae0f90d5fc9bed5037ea49c9a4ee22177b5
Homepage: https://cran.r-project.org/package=sgat
Description: CRAN Package 'sgat' (Extract Information from Google's "Popular Times")
 Once you've identified a real life place, such as a shop, a restaurant, a
 bar, etc. use this package to simulate a Google search and retrieve its
 "Popular Times" and geographic location information and save them in
 Comma-Separated Values files. This package also downloads a list of
 restaurants and bars of Ushuaia city, Argentina.

Package: r-cran-sgb
Architecture: all
Version: 1.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula, r-cran-mass, r-cran-numderiv, r-cran-alabama
Suggests: r-cran-knitr, r-cran-goftest
Filename: pool/dists/focal/main/r-cran-sgb_1.0.1.1-1.ca2004.1_all.deb
Size: 531580
MD5sum: 0d01f4c26abcdc05f010d028045d80be
SHA1: 7b640ad4a6c4032ba0bfba9239b06ba7ca333f66
SHA256: e810a30ba7cc20b96965aab166d36d7091eece8760550012ca950c4225415bee
SHA512: c33656155b580d8c704fd792faa2f9a4100e3a770fc8e2fcced54c6bb97e0291a019cf2e75fe7cbb11eeb80e223610334c22732ca7030a7c3ea80c92dc7d5cb6
Homepage: https://cran.r-project.org/package=SGB
Description: CRAN Package 'SGB' (Simplicial Generalized Beta Regression)
 Main properties and regression procedures using a generalization of the
 Dirichlet distribution called Simplicial Generalized Beta distribution. It
 is a new distribution on the simplex (i.e. on the space of compositions or
 positive vectors with sum of components equal to 1). The Dirichlet
 distribution can be constructed from a random vector of independent Gamma
 variables divided by their sum. The SGB follows the same construction with
 generalized Gamma instead of Gamma variables. The Dirichlet exponents are
 supplemented by an overall shape parameter and a vector of scales. The scale
 vector is itself a composition and can be modeled with auxiliary variables
 through a log-ratio transformation. Graf, M. (2017, ISBN:
 978-84-947240-0-8). See also the vignette enclosed in the package.

Package: r-cran-sgbj
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbj, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sgbj_0.1.1-1.ca2004.1_all.deb
Size: 28808
MD5sum: add9ab1f2ba1880c868f7f4209548519
SHA1: d7206716cc8719929c9abca629ac85355093f91d
SHA256: f68b8719624dcd889240a4f021d079d49ecd4721c087f6002aa1f4ff543d0498
SHA512: 4c2b67fb656f19bc2496a56dd239f69c470e812c2ee8dacbf4c28939f427ac42593374195b00e5ba9f263cdd68d546951213fb3059c56068fad76b81ee58ab0b
Homepage: https://cran.r-project.org/package=sGBJ
Description: CRAN Package 'sGBJ' (Survival Extension of the Generalized Berk-Jones Test)
 Implements an extension of the Generalized Berk-Jones (GBJ) statistic for
 survival data, sGBJ. It computes the sGBJ statistic and its p-value for
 testing the association between a gene set and a time-to-event outcome with
 possible adjustment on additional covariates. Detailed method is available
 at Villain L, Ferte T, Thiebaut R and Hejblum BP (2021)
 <doi:10.1101/2021.09.07.459329>.

Package: r-cran-sgboost
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-mboost, r-cran-stringr, r-cran-rlang, r-cran-tibble, r-cran-ggplot2, r-cran-ggforce
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sgboost_0.2.0-1.ca2004.1_all.deb
Size: 154864
MD5sum: b080000957e470095e5c7c532d868cb0
SHA1: 61c41bc56bd1e824461e9db56ee1a8760febcd1d
SHA256: acbba3ea8e3506ba6b7a26ea92d1311754124edcdd6ccc7844845e376e4c1047
SHA512: 69269866c8083d36188007357adcab74a1d19cfbc400de9f552c56c34566b1695b54a41fa14fae5a6c4b03c1d415c2f9b40b8d41ae16f13e498a8eb5dd5daf54
Homepage: https://cran.r-project.org/package=sgboost
Description: CRAN Package 'sgboost' (Sparse-Group Boosting)
 Sparse-group boosting to be used in conjunction with the 'mboost' for
 modeling grouped data.  Applicable to all sparse-group lasso type problems
 where within-group and between-group sparsity is desired.  Interprets and
 visualizes individual variables and groups.

Package: r-cran-sgee
Architecture: all
Version: 0.6-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-copula
Filename: pool/dists/focal/main/r-cran-sgee_0.6-0-1.ca2004.1_all.deb
Size: 188632
MD5sum: 2ead277ed6b27589325feea210c967e4
SHA1: 73533f1195e23230cfa543d797b9d384e23418cb
SHA256: 1f307cd969b2f5fa84091c98b8dcbe182a71b9b29cb8c5c38985782f0a3986c7
SHA512: 4dedb04a4b6e42fdd461e8d51185a2dbfe72b2bdffb38d3ebcbafb8707fef4dbd64b643279b204c51003881327a369ff328b263d152edc5b9fd013721ece9356
Homepage: https://cran.r-project.org/package=sgee
Description: CRAN Package 'sgee' (Stagewise Generalized Estimating Equations)
 Stagewise techniques implemented with Generalized Estimating Equations to
 handle individual, group, bi-level, and interaction selection. Stagewise
 approaches start with an empty model and slowly build the model over several
 iterations, which yields a 'path' of candidate models from which model
 selection can be performed. This 'slow brewing' approach gives stagewise
 techniques a unique flexibility that allows simple incorporation of
 Generalized Estimating Equations; see Vaughan, G., Aseltine, R., Chen, K.,
 Yan, J., (2017) <doi:10.1111/biom.12669> for details.

Package: r-cran-sglg
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-formula, r-cran-survival, r-cran-adequacymodel, r-cran-ggplot2, r-cran-plotly, r-cran-moments, r-cran-gridextra, r-cran-pracma, r-cran-progress, r-cran-rcpp, r-cran-plot3d, r-cran-magrittr, r-cran-teachingsampling
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sglg_0.2.2-1.ca2004.1_all.deb
Size: 250136
MD5sum: 77819f817b1b7c0b3d8d008fe6c82d2a
SHA1: e7f4ddca5d52593ff4f54d9d4b80163cb965824c
SHA256: 5a3f4cf73475d761c393056a255dca8f5dd56207ac33001fb8cc8e193891901a
SHA512: 1fccc907514c8f5ec52725c51f2a482784d59e82de37b02293d751a6f2d6b9d5ad47779ebba40f13df0ac26162776d307e3da3455b52d69acf3621a40bfce31d
Homepage: https://cran.r-project.org/package=sglg
Description: CRAN Package 'sglg' (Fitting Semi-Parametric Generalized log-Gamma Regression Models)
 Set of tools to fit a linear multiple or semi-parametric regression models
 with the possibility of non-informative random right-censoring.  Under this
 setup, the localization parameter of the response variable distribution is
 modeled by using linear multiple regression or semi-parametric functions,
 whose non-parametric components may be approximated by natural cubic spline
 or P-splines. The supported distribution for the model error is a
 generalized log-gamma distribution which includes the generalized extreme
 value and standard normal distributions as important special cases.
 Inference is based on penalized likelihood and bootstrap methods.  Also,
 some numerical and graphical devices for diagnostic of the fitted models are
 offered.

Package: r-cran-sglr
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-ggplot2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-sglr_0.8-1.ca2004.1_all.deb
Size: 51936
MD5sum: 23935ebd7f7f7b165e688605dedaf613
SHA1: 9c17ff2b7f4ee3e57a3f25cf91a630a8a2208427
SHA256: 648dadd9e2346a291a3d1f1bcd29f132f5da9d2ef8e9a72f05805ccf69852e7b
SHA512: ed6761de4e02188022c3d1e83c6413252c0b14e16a029bdbb23adc21725d5f80545ebd9eff095dffc8e3758faf86647fbd8b059952d3189aad69e4437ed7e4d8
Homepage: https://cran.r-project.org/package=sglr
Description: CRAN Package 'sglr' (Sequential Generalized Likelihood Ratio Decision BoundariesProposed by Shih, Lai, Heyse and Chen (2010,<doi:10.1002/Sim.4036>))
 We provide functions for computing the decision boundaries for pre-licensure
 vaccine trials using the Generalized Likelihood Ratio tests proposed by
 Shih, Lai, Heyse and Chen (2010, <doi:10.1002/sim.4036>).

Package: r-cran-sgmcmc
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tensorflow, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-mass, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgmcmc_0.2.5-1.ca2004.1_all.deb
Size: 148340
MD5sum: 4b8662af9ea7880b887a36dbbea80556
SHA1: 6e4198478880873ad3eb4149e725a84a636c85fc
SHA256: 3270c4a459d1f7273d038706263d582198a33f5db1545662b9a15bafd6af2c87
SHA512: fb1aaa207845eec2d63deae10787f3d55a9a060709468f5b7770d776bd5a9d60f0d6946fa7abf383331ad8e8566bbb09adc5e2ac670926526abf1d6d148c0b25
Homepage: https://cran.r-project.org/package=sgmcmc
Description: CRAN Package 'sgmcmc' (Stochastic Gradient Markov Chain Monte Carlo)
 Provides functions that performs popular stochastic gradient Markov chain
 Monte Carlo (SGMCMC) methods on user specified models. The required
 gradients are automatically calculated using 'TensorFlow'
 <https://www.tensorflow.org/>, an efficient library for numerical
 computation. This means only the log likelihood and log prior functions need
 to be specified. The methods implemented include stochastic gradient
 Langevin dynamics (SGLD), stochastic gradient Hamiltonian Monte Carlo
 (SGHMC), stochastic gradient Nose-Hoover thermostat (SGNHT) and their
 respective control variate versions for increased efficiency. References: M.
 Welling, Y. W. Teh (2011)
 <http://www.icml-2011.org/papers/398_icmlpaper.pdf>; T. Chen, E. B. Fox, C.
 E. Guestrin (2014) <arXiv:1402.4102>; N. Ding, Y. Fang, R. Babbush, C. Chen,
 R. D. Skeel, H. Neven (2014)
 <https://papers.nips.cc/paper/5592-bayesian-sampling-using-stochastic-gradient-thermostats>;
 J. Baker, P. Fearnhead, E. B. Fox, C. Nemeth (2017) <arXiv:1706.05439>. For
 more details see <doi:10.18637/jss.v091.i03>.

Package: r-cran-sgmodel
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ramify, r-cran-rtauchen
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sgmodel_0.1.2-1.ca2004.1_all.deb
Size: 48420
MD5sum: 1d263fb397a0d7cdbde59179d1a0a14c
SHA1: bf00cfddaece2820306bde1a738416c681329024
SHA256: ea42a491a776b7fb948d4314c9e9a92b6e7d00c24f729b07e6978d54cae35fca
SHA512: 24a7b351fcde71ea6f2ec4cee520336f1214dc804d3a3215dcf420a2b81ab0a1ff93fc94d7649b07d9f7974b11e9fefc56d048b7512a65db74072e7f69a275bd
Homepage: https://cran.r-project.org/package=sgmodel
Description: CRAN Package 'sgmodel' (Solves a Generic Stochastic Growth Model with a RepresentativeAgent)
 It computes the solutions to a generic stochastic growth model for a given
 set of user supplied parameters. It includes the solutions to the model,
 plots of the solution, a summary of the features of the model, a function
 that covers different types of consumption preferences, and a function that
 computes the moments of a Markov process.  Merton, Robert C (1971)
 <doi:10.1016/0022-0531(71)90038-X>, Tauchen, George (1986)
 <doi:10.1016/0165-1765(86)90168-0>, Wickham, Hadley (2009,
 ISBN:978-0-387-98140-6 ).

Package: r-cran-sgmrfmix
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1849
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-glasso, r-cran-mvtnorm, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-dplyr, r-cran-modelmetrics, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgmrfmix_0.3.0-1.ca2004.1_all.deb
Size: 1274252
MD5sum: 979febd76d4b1ecb8393266451f1c1a7
SHA1: e94c50b553cfd63c4ba89edb5f3e8b27a163751c
SHA256: 1425a3ff8a05c262a198988901fcedeb26d0dc840517caa69932856ba9c0bb63
SHA512: 9ae79a11340f6ec8f7137475f97bf82969e54d42c1cc95b1648492b22ec4d910d65e54a2c55ba8ac75bd32bde10b2593b8d1f55df55d32269ad1d97aafa43114
Homepage: https://cran.r-project.org/package=sGMRFmix
Description: CRAN Package 'sGMRFmix' (Sparse Gaussian Markov Random Field Mixtures for AnomalyDetection)
 An implementation of sparse Gaussian Markov random field mixtures presented
 by Ide et al. (2016) <doi:10.1109/ICDM.2016.0119>.  It provides a novel
 anomaly detection method for multivariate noisy sensor data.  It can
 automatically handle multiple operational modes.  And it can also compute
 variable-wise anomaly scores.

Package: r-cran-sgo
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3232
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-maps, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-sgo_0.9.2-1.ca2004.1_all.deb
Size: 3160928
MD5sum: fe948c72d920a2a6701ae9eb261d73af
SHA1: d733c30c3d90dc8253f214f34ae299dfc0c49d7c
SHA256: cd7a0014f37e6afbe01516c8f4d2c1f1bb9e479146f3b33439787c5bca1a36d9
SHA512: 0dae717648fe85d404b9334127e8df66c237a2b876a81f476a537c5a39b14f48d5f20c934a95ad21f3a84ad5bdf4573e17c599a61c7804eb25b1b9057f82c8c7
Homepage: https://cran.r-project.org/package=sgo
Description: CRAN Package 'sgo' (Simple Geographical Operations (with OSGB36))
 Methods focused in performing the OSGB36/ETRS89 transformation (Great
 Britain and the Isle of Man only) by using the Ordnance Survey's
 OSTN15/OSGM15 transformation model. Calculation of distances and areas from
 sets of points defined in any of the supported Coordinated Systems is also
 available.

Package: r-cran-sgof
Architecture: all
Version: 2.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-poibin
Suggests: r-cran-discretedatasets
Filename: pool/dists/focal/main/r-cran-sgof_2.3.5-1.ca2004.1_all.deb
Size: 179760
MD5sum: cade7db1ea645b5ffdde28de4c233cb1
SHA1: d6632945365b36d64ffd93b1afd80d1683545ee2
SHA256: 55c816623a8f6ae8c36a662562edeb6469039f726cc5f2807352abcfcc305cc2
SHA512: 5a8e85ec15cf7ae80136ff66cc7acfb10422b08bd98f98aeb709d94fb44ab3732f1a07dfe5c66c9dbf5eaed4be55fe0f7af730d961fa868ab70ae1c2f9e3c42e
Homepage: https://cran.r-project.org/package=sgof
Description: CRAN Package 'sgof' (Multiple Hypothesis Testing)
 Seven different methods for multiple testing problems. The SGoF-type methods
 (see for example, Carvajal Rodríguez et al., 2009
 <doi:10.1186/1471-2105-10-209>; de Uña Álvarez, 2012
 <doi:10.1515/1544-6115.1812>; Castro Conde et al., 2015
 <doi:10.1177/0962280215597580>) and the BH and BY false discovery rate
 controlling procedures.

Package: r-cran-sgp
Architecture: all
Version: 2.2-0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2774
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cairo, r-cran-callr, r-cran-collapse, r-cran-colorspace, r-cran-crayon, r-cran-data.table, r-cran-digest, r-cran-doparallel, r-cran-equate, r-cran-foreach, r-cran-gridbase, r-cran-iterators, r-cran-gtools, r-cran-jsonlite, r-cran-matrixstats, r-cran-quantreg, r-cran-randomnames, r-cran-rngtools, r-cran-rsqlite, r-cran-sn, r-cran-svglite, r-cran-toordinal
Suggests: r-cran-sgpdata, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgp_2.2-0.0-1.ca2004.1_all.deb
Size: 2647868
MD5sum: f5ab6975dacb830ea3bdb743708f73f9
SHA1: 5c1882feb1d9b92356fa2980f118ec01c78c7bd5
SHA256: e34a2af5d65778336605980b5425ea05534298bdbdf3cbadf63fe6226256b4ad
SHA512: 57d68d4e1f587118698b1c9f97c70559962f668d0da3891524b641172adb1b3ae6dcc9aafc260412ad882be2e80df8146687c8416405751e51ff70d18efc3057
Homepage: https://cran.r-project.org/package=SGP
Description: CRAN Package 'SGP' (Student Growth Percentiles & Percentile Growth Trajectories)
 An analytic framework for the calculation of norm- and criterion-referenced
 academic growth estimates using large scale, longitudinal education
 assessment data as developed in Betebenner (2009)
 <doi:10.1111/j.1745-3992.2009.00161.x>.

Package: r-cran-sgpdata
Architecture: all
Version: 28.0-0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6977
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-data.table
Suggests: r-cran-sgp, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgpdata_28.0-0.0-1.ca2004.1_all.deb
Size: 7058068
MD5sum: dc4b5bf0b247fba3ae0f81100493a6c1
SHA1: 1d47e0504f15b36ba81fd4549357d41103247ca9
SHA256: a42313f9e818f0b7889e45f885361c5d20d1a73afe2b6fd59ea9690395bf5663
SHA512: adab9fe12ac2b274994489ed406ed81c3a8b6f5e06aea088e2a9575ccbd3543cd150b53b008f8e0b67fbc6f3a175e02946116c14887063e0fd3a6e95c879ccef
Homepage: https://cran.r-project.org/package=SGPdata
Description: CRAN Package 'SGPdata' (Exemplar Data Sets for Student Growth Percentiles (SGP) Analyses)
 Data sets utilized by the 'SGP' package as exemplars for users to conduct
 their own student growth percentiles (SGP) analyses.

Package: r-cran-sgplot
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4512
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-lifecycle, r-cran-rlang, r-cran-scales
Suggests: r-cran-dplyr, r-cran-gapminder, r-cran-glue, r-cran-gt, r-cran-knitr, r-cran-plotly, r-cran-purrr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-sgplot_0.4.0-1.ca2004.1_all.deb
Size: 1088216
MD5sum: beaf6e4bddd15a4ac067cfd02e450132
SHA1: 32a647b93db4a00cea3f32422856354307250f71
SHA256: 6aea33c0b913dfeae8ddc25e0029d1020814ab4cf5294efe701cb6a68bd49ea3
SHA512: ef5a091eb100a78155826373e8f169312d9e92838c633ff9073d0f91687a1de51d27c606f28fe477d091548e0d5885131993091e7a7d164ad20c041abf61bed1
Homepage: https://cran.r-project.org/package=sgplot
Description: CRAN Package 'sgplot' (Graphic Styles and Colours for Scottish Government Plots)
 A 'ggplot2' theme and colour palettes to create accessible data
 visualisations in the Scottish Government.

Package: r-cran-sgpls
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-mixomics, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sgpls_1.8-1.ca2004.1_all.deb
Size: 577688
MD5sum: 7ed1210de49fe97e5e59a3a71ff4621a
SHA1: 2dfaa7727d3675bd1951b89270e4cf6c94d41558
SHA256: 2c5a0ab257a80bdcaf5bcf16321b5fd1f05e63b47759f8edc7c049bf5a29ee6d
SHA512: 64a9e160d31d8f9441b22424f8f1a1a0d47033bd38e7da9db8959f6b24fcb4b1b339643f8cdae61d9ca13913412a9128630cd45e772578cd053e0e9ca28c8615
Homepage: https://cran.r-project.org/package=sgPLS
Description: CRAN Package 'sgPLS' (Sparse Group Partial Least Square Methods)
 Regularized version of partial least square approaches providing sparse,
 group, and sparse group versions of partial least square regression models
 (Liquet, B., Lafaye de Micheaux, P., Hejblum B., Thiebaut, R. (2016)
 <doi:10.1093/bioinformatics/btv535>). Version of PLS Discriminant analysis
 is also provided.

Package: r-cran-sgpv
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 448
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sgpv_1.1.0-1.ca2004.1_all.deb
Size: 411352
MD5sum: cffa4ca42a5993cfbf8038e14c52cd2b
SHA1: aef4e28d8fb342a981222323e9ca1ddaa6f29d95
SHA256: 637a5b879f9157de531d6ce60daed589f0a8abd182c4dc92a392a91c3a2ca217
SHA512: 5c4a4fd2c5a73c6c4d23beeeea3109873a184b249adf8c902ea3d64f7a856861e2cf80a85ff056beabc4101b7a7e4af47422b1abb0850e66864a4e29c612e8bd
Homepage: https://cran.r-project.org/package=sgpv
Description: CRAN Package 'sgpv' (Calculate Second-Generation p-Values and Associated Measures)
 Computation of second-generation p-values as described in Blume et al.
 (2018) <doi:10.1371/journal.pone.0188299> and Blume et al. (2019)
 <doi:10.1080/00031305.2018.1537893>. There are additional functions which
 provide power and type I error calculations, create graphs (particularly
 suited for large-scale inference usage), and a function to estimate false
 discovery rates based on second-generation p-value inference.

Package: r-cran-sgr
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-polycor
Filename: pool/dists/focal/main/r-cran-sgr_1.3.1-1.ca2004.1_all.deb
Size: 80060
MD5sum: feceb6b72165d9daddf333c50dcd1bc2
SHA1: 3934fe20a57478aa93e19a924690fd67719418de
SHA256: 50f83c0d8f186ddacc85db8f95e062b9b474f7823a2a9b3b850feeabc166cc5e
SHA512: 264ed07b10a356ac6d99e04b60b4898682a2c768e0aedd987cb024b8bfff9171382f1f4ded1bed53a6b8814eb619d3d4c0a518c84c1f4a4a82369003588bee57
Homepage: https://cran.r-project.org/package=sgr
Description: CRAN Package 'sgr' (Sample Generation by Replacement)
 Sample Generation by Replacement simulations (SGR; Lombardi & Pastore, 2014;
 Pastore & Lombardi, 2014). The package can be used to perform fake data
 analysis according to the sample generation by replacement approach. It
 includes functions for making simple inferences about discrete/ordinal fake
 data. The package allows to study the implications of fake data for
 empirical results.

Package: r-cran-sgraph
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 802
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cowplot, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-igraph, r-cran-jsonlite, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-stringi
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sgraph_1.1.0-1.ca2004.1_all.deb
Size: 216936
MD5sum: a9fbdfab2e68e0c5e223b164e56df03d
SHA1: bd8483c4c392c8da5a2c23e15782adaaf1cc9570
SHA256: 4fa68b9c848f0f79ad398a45c862d37be8195650b021c3032a88c5bac218fe1d
SHA512: 5f5b317d006c5e91a2091480606d55f0067e16bcc5fa9265f6fa985731a7a25ede7afe00a40c460c9c6b009d7f55b5fa23dfc7c582818d2e962810b0cefde9cd
Homepage: https://cran.r-project.org/package=sgraph
Description: CRAN Package 'sgraph' (Network Visualization Using 'sigma.js')
 Interactive visualizations of graphs created with the 'igraph' package using
 a 'htmlwidgets' wrapper for the 'sigma.js' network visualization v2.4.0
 <https://www.sigmajs.org/>, enabling to display several thousands of nodes.
 While several 'R' packages have been developed to interface 'sigma.js', all
 were developed for v1.x.x and none have migrated to v2.4.0 nor are they
 planning to. This package builds upon the 'sigmaNet' package, and users
 familiar with it will recognize the similar design approach. Two extensions
 have been added to the classic 'sigma.js' visualizations by overriding the
 underlying 'JavaScript' code, enabling to draw a frame around node labels,
 and to display labels on multiple lines by parsing line breaks. Other
 additional functionalities that did not require overriding 'sigma.js' code
 include toggling node visibility when clicked using a node attribute and
 highlighting specific edges. 'sigma.js' is currently preparing a stable
 release v3.0.0, and this package plans to update to it when it is available.

Package: r-cran-sgsr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4432
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-sf, r-cran-terra, r-cran-tidyr, r-cran-clhs, r-cran-samplingbigdata, r-cran-balancedsampling, r-cran-spatstat.geom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rfast, r-cran-testthat, r-cran-doparallel, r-cran-dosnow, r-cran-snow, r-cran-foreach, r-cran-entropy, r-cran-roxygen2, r-cran-covr, r-cran-rann, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-sgsr_1.5.0-1.ca2004.1_all.deb
Size: 2289628
MD5sum: be50a0c651a395bb2c90c77fb8e379bb
SHA1: 8f4ad94450ac3e85ae15b4d17661276926dbd179
SHA256: 9b1ce0e558674d731cdbc679141d7b60a587993fc3ce59d15251ffab4ebd5f26
SHA512: dd4ba2a3274c959b2dd1348c94cf88887a37f4c9ed91bdc2d9a81e99da8bd10dcd497edcef392af823f61fea82867a2d62f592b896773089316a7a4bf77e397b
Homepage: https://cran.r-project.org/package=sgsR
Description: CRAN Package 'sgsR' (Structurally Guided Sampling)
 Structurally guided sampling (SGS) approaches for airborne laser scanning
 (ALS; LIDAR). Primary functions provide means to generate data-driven
 stratifications & methods for allocating samples. Intermediate functions for
 calculating and extracting important information about input covariates and
 samples are also included. Processing outcomes are intended to help forest
 and environmental management practitioners better optimize field sample
 placement as well as assess and augment existing sample networks in the
 context of data distributions and conditions. ALS data is the primary
 intended use case, however any rasterized remote sensing data can be used,
 enabling data-driven stratifications and sampling approaches.

Package: r-cran-sgstar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sgstar_0.1.2-1.ca2004.1_all.deb
Size: 54852
MD5sum: 498312fb5513275a060e9935c245bc04
SHA1: 2035d225a3353aec7986040bb98956096dec9af8
SHA256: fd3d83116d4c0734c958071d2d4e61c6bff7eec73557adec728442174e55dd11
SHA512: cca6f4ae4715bcfa1dfa0284f278a38a399f0d3317d7b7544ed558082f90e05201d9d04d9195955d99fce230a8d6be225bc34dd92b1dd2e1c637d9e5f8f71881
Homepage: https://cran.r-project.org/package=sgstar
Description: CRAN Package 'sgstar' (Seasonal Generalized Space Time Autoregressive (S-GSTAR) Model)
 A set of function that implements for seasonal multivariate time series
 analysis based on Seasonal Generalized Space Time Autoregressive with
 Seemingly Unrelated Regression (S-GSTAR-SUR) Model by
 Setiawan(2016)<https://www.researchgate.net/publication/316517889_S-GSTAR-SUR_model_for_seasonal_spatio_temporal_data_forecasting>.

Package: r-cran-sgt
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-optimx, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-sgt_2.0-1.ca2004.1_all.deb
Size: 265372
MD5sum: b0bb389413a01711f6a8db2bf8947ba1
SHA1: 54f688b07045a21f7898d4cac999ba2620999afa
SHA256: 9280bd0c7c81eedfc548d54ebf0ea124d728bdccf7984e7ef90a56e1ae8ecc1c
SHA512: 3383cbe34b9092dc26fc51f386095a8ddebb5b9c493dffcded710e69ea6754e15a21ff560af31ae0aaa1c4ca727de582f7d1c96f24c1ea5197ee01582a9ebd57
Homepage: https://cran.r-project.org/package=sgt
Description: CRAN Package 'sgt' (Skewed Generalized T Distribution Tree)
 Density, distribution function, quantile function and random generation for
 the skewed generalized t distribution. This package also provides a function
 that can fit data to the skewed generalized t distribution using maximum
 likelihood estimation.

Package: r-cran-shades
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-shades_1.4.0-1.ca2004.1_all.deb
Size: 85152
MD5sum: c5ed136099f34beec8ab943e97fbea55
SHA1: b34d9277ce04fe35bea9ac0679eaba92b647c021
SHA256: 46eb6134f6e88ae2ac911cd9ea5341e8f5c1c3ab35aea206fdd4c56a2f8a66fb
SHA512: e443b5df86059b24f5be55db568dad1733da81693ed2eca7de3ba3dd22d52198921b19746c9161b7f668c116290f8bf1febda68ca74eee0991ce852cb0fcea25
Homepage: https://cran.r-project.org/package=shades
Description: CRAN Package 'shades' (Simple Colour Manipulation)
 Functions for easily manipulating colours, creating colour scales and
 calculating colour distances.

Package: r-cran-shadow
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1652
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-rgeos, r-cran-raster
Suggests: r-cran-r.rsp, r-cran-maptools, r-cran-testthat, r-cran-reshape2, r-cran-threejs, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-shadow_0.7.1-1.ca2004.1_all.deb
Size: 1502412
MD5sum: 4ab7d1bf3795c52a3451bbd055dd7428
SHA1: 661458d3c25d05e14d603221594ece043e3dbd19
SHA256: a5c3e267f17c268d82511d07db5e347e544df58d8a23e8ffbd075a99d45ed629
SHA512: 09f39e6caa1473dc539d4a98e1033ece521779a450542f18f7bb21105933202edfad2f1b89ee63c2fad95bb47b2fcc4e2dab74de01b2ec4e7e2c7f92c1204f83
Homepage: https://cran.r-project.org/package=shadow
Description: CRAN Package 'shadow' (Geometric Shadow Calculations)
 Functions for calculating: (1) shadow height, (2) logical shadow flag, (3)
 shadow footprint, (4) Sky View Factor and (5) radiation load. Basic required
 inputs include a polygonal layer of obstacle outlines along with their
 heights (i.e. "extruded polygons"), sun azimuth and sun elevation. The
 package also provides functions for related preliminary calculations:
 breaking polygons into line segments, determining azimuth of line segments,
 shifting segments by azimuth and distance, constructing the footprint of a
 line-of-sight between an observer and the sun, and creating a 3D grid
 covering the surface area of extruded polygons.

Package: r-cran-shadowr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 450
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rselenium
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shadowr_0.0.2-1.ca2004.1_all.deb
Size: 359168
MD5sum: 6e39cba9564ad177142a36d6427b91f2
SHA1: 225aff2e627453e2cb7f21d55a7c56928b337c9d
SHA256: 7789c783ff41179b5b7c01cf131fd8f522dec3ff31c9d297647e64fa3a4da28f
SHA512: 4729ff437ccd77e558640aaef278216dfcd99fbcff042e43fe71325a9f96732d59c3b19620b8a27ed96d0241e4e6a59470ab9e96c3d335f5309790256d330da7
Homepage: https://cran.r-project.org/package=shadowr
Description: CRAN Package 'shadowr' (Selenium Plugin to Manage Multi Level Shadow Elements on WebPage)
 Shadow Document Object Model is a web standard that offers component style
 and markup encapsulation.  It is a critically important piece of the Web
 Components story as it ensures that a component will work in any environment
 even if other CSS or JavaScript is at play on the page.  Custom HTML tags
 can't be directly identified with selenium tools, because Selenium doesn't
 provide any way to deal with shadow elements.  Using this plugin you can
 handle any custom HTML tags.

Package: r-cran-shadowtext
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-s7
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-shadowtext_0.1.5-1.ca2004.1_all.deb
Size: 215384
MD5sum: 66e4e5ff06987d08bd1be713581662c4
SHA1: df8bcb2f16917202c9e7d5b0dd79ea0b4dd17479
SHA256: 70f9a3bf195f88ca9d4d901be3fc6800c66d3a41338d09a54d25e45c2c03cd89
SHA512: e5fedcfd3cae41283923fc3f1df7b30b7bdff9c3c7bdd0d0253dd1344299b029ab1916014d25ae8334d85309fe1dd35672b58fe9426f8193249af1e450093990
Homepage: https://cran.r-project.org/package=shadowtext
Description: CRAN Package 'shadowtext' (Shadow Text Grob and Layer)
 Implement shadowtextGrob() for 'grid' and geom_shadowtext() layer for
 'ggplot2'.  These functions create/draw text grob with background shadow.

Package: r-cran-shadowvimp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 752
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggforce, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-patchwork, r-cran-ranger, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shadowvimp_1.0.2-1.ca2004.1_all.deb
Size: 429444
MD5sum: c6bb918a3d47304833455acc93ee5427
SHA1: 0ed775d1a234dfca500a932c3ea52e32decb71de
SHA256: c07b5c78d0e4af89738359960f25ab2c6107d340dee131337a6f34fd7a37ce14
SHA512: cb7db1cce7ecd613503b4c5b8e007b0bf77cd7f27dcdaff68b30333fa4c3bef6e20e441f72739d2342bcb13d1267abbfaab42257f6481a8ec5ade81eeb9990e6
Homepage: https://cran.r-project.org/package=shadowVIMP
Description: CRAN Package 'shadowVIMP' (Covariate Selection Based on VIMP Permutation-Like Testing)
 A statistical method for reducing the number of covariates in an analysis by
 evaluating Variable Importance Measures (VIMPs) derived from the Random
 Forest algorithm. It performs statistical tests on the VIMPs and outputs
 whether the covariate is significant along with the p-values.

Package: r-cran-shallot
Architecture: all
Version: 0.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1405
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rscala, r-cran-commonsmath
Filename: pool/dists/focal/main/r-cran-shallot_0.4.10-1.ca2004.1_all.deb
Size: 1245224
MD5sum: e60d331fcdfcd35ffe1058c0bca23599
SHA1: b4052b74a0220dd07aad6d2cce8c4aae934ed5f7
SHA256: f2bff5d2bc82fd9cfd8acf2ee31da764f6f57cdcab95821ed188cc1fa73a7f50
SHA512: a359a7ad734154bb1af343a1b176e7090b4009f0e9454bfcbcaab64fe1fbb1f0dcb2c6d08b69bd375ad5ff6573680c9cf1e7e20e02d9b9c56a70a051c21c9b06
Homepage: https://cran.r-project.org/package=shallot
Description: CRAN Package 'shallot' (Random Partition Distribution Indexed by Pairwise Information)
 Implementations are provided for the models described in the paper D. B.
 Dahl, R. Day, J. Tsai (2017) <DOI:10.1080/01621459.2016.1165103>. The Ewens,
 Ewens-Pitman, Ewens attraction, Ewens-Pitman attraction, and ddCRP
 distributions are available for prior and posterior simulation. Posterior
 simulation is based on a user-supplied likelihood. Supporting functions for
 partition estimation and plotting are also provided.

Package: r-cran-shannon
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 448
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vares, r-cran-extradistr
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-shannon_0.2.0-1.ca2004.1_all.deb
Size: 359172
MD5sum: e958970f3e9edb849f8020b137df757b
SHA1: 31bce6249c62a7139a7eb9203ab3be09af681b93
SHA256: 76711f781bd0b3239a8b7a0620195fc4b254b2ad448dadfdd0d3f1c4c3be14ec
SHA512: 262ce98ac9b2fa4bcf5401f7d78484624b745513ebd8dc6ebac1d20c25b3526aa9ab0135ee3213aa853d64e1df6f459177df0af291899aaac06a5d4321877f75
Homepage: https://cran.r-project.org/package=shannon
Description: CRAN Package 'shannon' (Computation of Entropy Measures and Relative Loss)
 The functions allow for the numerical evaluation of some commonly used
 entropy measures, such as Shannon entropy, Rényi entropy, Havrda and Charvat
 entropy, and Arimoto entropy, at selected parametric values from several
 well-known and widely used probability distributions. Moreover, the
 functions also compute the relative loss of these entropies using the
 truncated distributions. Related works include: Awad, A. M., & Alawneh, A.
 J. (1987). Application of entropy to a life-time model. IMA Journal of
 Mathematical Control and Information, 4(2), 143-148.
 <doi:10.1093/imamci/4.2.143>.

Package: r-cran-shapdoe
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-shapdoe_1.0.0-1.ca2004.1_all.deb
Size: 54496
MD5sum: 1a136427dc337b3565b0d91c38564578
SHA1: 8eeeb07b8618b50aed637024d7cc392fece179a2
SHA256: 74f26a653c24b584bd4a30167c3c5c11da9c50d34d4c95232e06726659093255
SHA512: 925d55d57383c2dbd69237bf0e72623725427cb09f7f77482a0cde1b6b54940c90f635617dc922b11e9c095cc88ae4f599a35051e5ef4042f3255c0af9be980f
Homepage: https://cran.r-project.org/package=ShapDoE
Description: CRAN Package 'ShapDoE' (Approximation of the Shapley Values Based on ExperimentalDesigns)
 Estimating the Shapley values using the algorithm in the paper Liuqing Yang,
 Yongdao Zhou, Haoda Fu, Min-Qian Liu and Wei Zheng (2024)
 <doi:10.1080/01621459.2023.2257364> "Fast Approximation of the Shapley
 Values Based on Order-of-Addition Experimental Designs".  You provide the
 data and define the value function, it retures the estimated Shapley values
 based on sampling methods or experimental designs.

Package: r-cran-shape
Architecture: all
Version: 1.4.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-shape_1.4.6.1-1.ca2004.1_all.deb
Size: 745600
MD5sum: 3c90dbd42014926223300a71537dc153
SHA1: d0248b7528d82f6cfbbf3af3a390a5c6ea56f9a1
SHA256: 626c16b6a860ec9ab0cfdf37ede7c8fff477e38b2c6bcf26052712558f90a696
SHA512: 3dd466eb0e918f2a89499c1e05c8332586a5f18a64983f4c46a3437db441c24e49249edeaa373922bdb65c514bbb796b2fa2eb2bfb5da3947deebdae1fe18222
Homepage: https://cran.r-project.org/package=shape
Description: CRAN Package 'shape' (Functions for Plotting Graphical Shapes, Colors)
 Functions for plotting graphical shapes such as ellipses, circles,
 cylinders, arrows, ...

Package: r-cran-shapechange
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coneproj, r-cran-quadprog
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-shapechange_1.5-1.ca2004.1_all.deb
Size: 204908
MD5sum: a8ba92718b67ed157236da157221da3a
SHA1: c8734337a557f756d42bea6a5ee6cb632750e6b6
SHA256: 5247bdf3dcebf87e699c18081bc295b53010f40a7cc272cc9f18535419c08da5
SHA512: d208fe65d38b538d3d9dcc13bf7e314b37375115e0b81f9d233bfe74e5235c850edbdf2de64b5e4aab27f3cc5f4ffdd7ce08042b98464002f7d9a75f724f8bba
Homepage: https://cran.r-project.org/package=ShapeChange
Description: CRAN Package 'ShapeChange' (Change-Point Estimation using Shape-Restricted Splines)
 In a scatterplot where the response variable is Gaussian, Poisson or
 binomial, we consider the case in which the mean function is smooth with a
 change-point, which is a mode, an inflection point or a jump point. The main
 routine estimates the mean curve and the change-point as well using
 shape-restricted B-splines. An optional subroutine delivering a bootstrap
 confidence interval for the change-point is incorporated in the main
 routine.

Package: r-cran-shapefiles
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-shapefiles_0.7.2-1.ca2004.1_all.deb
Size: 52040
MD5sum: 0bf71fa2090582b606e81644e6e60f92
SHA1: 1fb89ba8beade43dc1583ff9b5c464e0a8909f75
SHA256: 6a6540e960a47e34ce95a0d9c525b1f14b62be616591ac693191a3ab7d23e600
SHA512: 9568a227efa85bc3282417cfc7900c4449065beaf481cd3dcc4ef4eee23c3de6bc5d6eb636cca0144cc4a18ba7ddcc06bcf14372ed03bab0e74b2edb1e1d1e7a
Homepage: https://cran.r-project.org/package=shapefiles
Description: CRAN Package 'shapefiles' (Read and Write ESRI Shapefiles)
 Functions to read and write ESRI shapefiles.

Package: r-cran-shapena
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mvtnorm, r-cran-mice
Filename: pool/dists/focal/main/r-cran-shapena_0.0.2-1.ca2004.1_all.deb
Size: 83128
MD5sum: 05a2c843d723ab94abff0fcb36a25ac0
SHA1: 91646dcc29b80d8fa46a9002a7143b22079ec743
SHA256: 8cbec31ac6b8eb32efc83ee90b797533dfd738be8dc4402b1b5ac79ba9f4266f
SHA512: 347009e1929066518337b4ce7b31a97181b6e79bdcf561896e5e976b13dc92f5b50d20a89787f7e32a2829cb65e6d469b41a08d04cbf4627b59c3e86c579beb4
Homepage: https://cran.r-project.org/package=shapeNA
Description: CRAN Package 'shapeNA' (M-Estimation of Shape for Data with Missing Values)
 M-estimators of location and shape following the power family (Frahm,
 Nordhausen, Oja (2020) <doi:10.1016/j.jmva.2019.104569>) are provided in the
 case of complete data and also when observations have missing values
 together with functions aiding their visualization.

Package: r-cran-shapepattern
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp, r-cran-igraph, r-cran-terra, r-cran-landscapemetrics, r-cran-raster
Filename: pool/dists/focal/main/r-cran-shapepattern_3.1.0-1.ca2004.1_all.deb
Size: 196428
MD5sum: 5020baf262d9962538e7772ea318a1ae
SHA1: babceb9483da1b2fc6170b117ffb9e0fa7dd5e46
SHA256: 69ee7d11b932c5294fca438612b141378e1cc32dc764e0ec96ea9076104cdeb7
SHA512: 441c8ddfe5649e8d04cc7d1f843108a9f880ae117d4d1ea09f03763687b176043ca0ee5bdb97c5785260caed5b4c394fe83f344f374a804a3f95ae48b36864ab
Homepage: https://cran.r-project.org/package=ShapePattern
Description: CRAN Package 'ShapePattern' (Tools for Analyzing Shapes and Patterns)
 This is an evolving and growing collection of tools for the quantification,
 assessment, and comparison of shape and pattern. This collection provides
 tools for: (1) the spatial decomposition of planar shapes using
 'ShrinkShape' to incrementally shrink shapes to extinction while computing
 area, perimeter, and number of parts at each iteration of shrinking; the
 spectra of results are returned in graphic and tabular formats (Remmel 2015)
 <doi:10.1111/cag.12222>, (2) simulating landscape patterns, (3) provision of
 tools for estimating composition and configuration parameters from a
 categorical (binary) landscape map (grid) and then simulates a selected
 number of statistically similar landscapes. Class-focused pattern metrics
 are computed for each simulated map to produce empirical distributions
 against which statistical comparisons can be made. The code permits the
 analysis of single maps or pairs of maps (Remmel and Fortin 2013)
 <doi:10.1007/s10980-013-9905-x>, (4) counting the number of each first-order
 pattern element and converting that information into both frequency and
 empirical probability vectors (Remmel 2020) <doi:10.3390/e22040420>, and (5)
 computing the porosity of raster patches <doi:10.3390/su10103413>. NOTE:
 This is a consolidation of existing packages ('PatternClass',
 'ShapePattern') to begin warehousing all shape and pattern code in a common
 package. Additional utility tools for handling data are provided and this
 package will be added to as more tools are created, cleaned-up, and
 documented.  Note that all future developments will appear in this package
 and that 'PatternClass' will eventually be archived.

Package: r-cran-shaper
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3593
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plotrix, r-cran-jpeg, r-cran-pixmap, r-cran-wavethresh, r-cran-vegan, r-cran-mass
Filename: pool/dists/focal/main/r-cran-shaper_1.0-1-1.ca2004.1_all.deb
Size: 3606524
MD5sum: de8fadabcc7d16a560880aaf239fb150
SHA1: 41abba1b22d60d4bf2cf880bd1d48c06a5295369
SHA256: 74ce59177ea4acae0e22abc7c35412634c160ea7e993aae8a161fedf2caba25c
SHA512: 36fd4d2502a10f7dc3623f74fd42bf5c0a42c513da8ab7411be3d4dd6493027fa431c2a00003a006f7ce7ed32b117a6f898650e5a373a90ca1d4987006c86bba
Homepage: https://cran.r-project.org/package=shapeR
Description: CRAN Package 'shapeR' (Collection and Analysis of Otolith Shape Data)
 Studies otolith shape variation among fish populations.  Otoliths are
 calcified structures found in the inner ear of teleost fish and their shape
 has been known to vary among several fish populations and stocks, making
 them very useful in taxonomy, species identification and to study geographic
 variations. The package extends previously described software used for
 otolith shape analysis by allowing the user to automatically extract closed
 contour outlines from a large number of images, perform smoothing to
 eliminate pixel noise described in Haines and Crampton (2000)
 <doi:10.1111/1475-4983.00148>, choose from conducting either a Fourier or
 wavelet see Gençay et al (2001) <doi:10.1016/S0378-4371(00)00463-5>
 transform to the outlines and visualize the mean shape. The output of the
 package are independent Fourier or wavelet coefficients which can be
 directly imported into a wide range of statistical packages in R. The
 package might prove useful in studies of any two dimensional objects.

Package: r-cran-shaperotator
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plot3d
Suggests: r-cran-geomorph
Filename: pool/dists/focal/main/r-cran-shaperotator_0.1.0-1.ca2004.1_all.deb
Size: 90408
MD5sum: ce8db85ff0ba508694c614f8536ea302
SHA1: 76bf65efa9259b18ffe425198612be26da111d5b
SHA256: 7ea312f343be54a934eba279643cce556ada300d90e0dab7cecc28e2eca490dd
SHA512: e901d06bd2eba560b6f71ffb8587f6198b5b8b17e78a042bf10a2ebc6bc20fa1955a2b1fce344fa27f220ec7234e9b62c44c67cac263b7b911e488eded608afc
Homepage: https://cran.r-project.org/package=ShapeRotator
Description: CRAN Package 'ShapeRotator' (Standardised Rigid Rotations of Articulated Three-DimensionalStructures)
 Here we describe a simple geometric rigid rotation approach that removes the
 effect of random translation and rotation, enabling the morphological
 analysis of 3D articulated structures. Our method is based on Cartesian
 coordinates in 3D space so it can be applied to any morphometric problem
 that also uses 3D coordinates. See Vidal-García, M., Bandara, L., Keogh,
 J.S. (2018) <doi:10.1002/ece3.4018>.

Package: r-cran-shapes
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-minpack.lm, r-cran-scatterplot3d, r-cran-rgl, r-cran-mass
Filename: pool/dists/focal/main/r-cran-shapes_1.2.7-1.ca2004.1_all.deb
Size: 880264
MD5sum: e2cec89bbf5f6981e1444acdb53cf3d9
SHA1: a6c88cddc0ccc46af8182d2275b1787a3f1a5788
SHA256: 47cd1f8ff7a56683e81f62404ab1267ee05f002b85bde9088d3c391595111b50
SHA512: 9d01e8c9ef3c76e3ba258d1b1f62221ef28a004ddf5b06fc871558a5bf5bd67d299794d880b288833f27eec52e7f70d2c797888c53a1dd9140178f4ffcf96e65
Homepage: https://cran.r-project.org/package=shapes
Description: CRAN Package 'shapes' (Statistical Shape Analysis)
 Routines for the statistical analysis of landmark shapes, including
 Procrustes analysis, graphical displays, principal components analysis,
 permutation and bootstrap tests, thin-plate spline transformation grids and
 comparing covariance matrices.  See Dryden, I.L. and Mardia, K.V. (2016).
 Statistical shape analysis, with Applications in R (2nd Edition), John Wiley
 and Sons.

Package: r-cran-shapeselectforest
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1495
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coneproj, r-cran-raster
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-shapeselectforest_1.7-1.ca2004.1_all.deb
Size: 176184
MD5sum: c2365e68ac0646bdd49cafd75b5baafe
SHA1: 5880a37c83e0e739f4489af9ffd2d95551205497
SHA256: 6bc67c0c0bb8ae64ebafb415ab344e0401d05ae96f9b572d608cba1403d53ec2
SHA512: fb8fbfcaec82200b88dac65d99d118349eb250f1e71260c648113eaae8460c68d7163ab5f5f98eb2275123d98cd106b00d64c3889cf3b36a8536a2951641db73
Homepage: https://cran.r-project.org/package=ShapeSelectForest
Description: CRAN Package 'ShapeSelectForest' (Shape Selection for Landsat Time Series of Forest Dynamics)
 Landsat satellites collect important data about global forest conditions.
 Documentation about Landsat's role in forest disturbance estimation is
 available at the site <https://landsat.gsfc.nasa.gov/>. By constrained
 quadratic B-splines, this package delivers an optimal shape-restricted
 trajectory to a time series of Landsat imagery for the purpose of modeling
 annual forest disturbance dynamics to behave in an ecologically sensible
 manner assuming one of seven possible "shapes", namely, flat, decreasing,
 one-jump (decreasing, jump up, decreasing), inverted vee (increasing then
 decreasing), vee (decreasing then increasing), linear increasing, and
 double-jump (decreasing, jump up, decreasing, jump up, decreasing). The main
 routine selects the best shape according to the minimum Bayes information
 criterion (BIC) or the cone information criterion (CIC), which is defined as
 the log of the estimated predictive squared error. The package also provides
 parameters summarizing the temporal pattern including year(s) of inflection,
 magnitude of change, pre- and post-inflection rates of growth or recovery.
 In addition, it contains routines for converting a flat map of disturbance
 agents to time-series disturbance maps and a graphical routine displaying
 the fitted trajectory of Landsat imagery.

Package: r-cran-shapforxgboost
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-xgboost, r-cran-data.table, r-cran-ggforce, r-cran-ggextra, r-cran-rcolorbrewer, r-cran-ggpubr, r-cran-bbmisc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-here, r-cran-lightgbm
Filename: pool/dists/focal/main/r-cran-shapforxgboost_0.1.3-1.ca2004.1_all.deb
Size: 816948
MD5sum: 1d5c2587f7d9a872ffe7d7de9072b2a6
SHA1: 50eb3502dec3b9891adb62404b1f0660746a2e76
SHA256: 2523b9c4d19ab580ef6f801ba542a9dd5ed31088118245ad29755ac3edf92513
SHA512: ff9df3cd372617ba1c91ae002d7f313944b3491a10ab6f85dd85ff5b805c3844496766a7bc19ddb35e4614b2923dce7cfceabde79af15c6f64cf6d7145202e57
Homepage: https://cran.r-project.org/package=SHAPforxgboost
Description: CRAN Package 'SHAPforxgboost' (SHAP Plots for 'XGBoost')
 Aid in visual data investigations using SHAP (SHapley Additive exPlanation)
 visualization plots for 'XGBoost' and 'LightGBM'.  It provides summary plot,
 dependence plot, interaction plot, and force plot and relies on the SHAP
 implementation provided by 'XGBoost' and 'LightGBM'.  Please refer to
 'slundberg/shap' for the original implementation of SHAP in 'Python'.

Package: r-cran-shapley
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1023
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-h2o, r-cran-curl, r-cran-waffle, r-cran-pander
Filename: pool/dists/focal/main/r-cran-shapley_0.5-1.ca2004.1_all.deb
Size: 792372
MD5sum: 79ff161aa96a9d153b81acb352f49621
SHA1: 88f5adf08318598d33b6d31ed357143a63960fb0
SHA256: eadb0e16306945921d753ffd62b0c7b7b14aa0a256b350be368fad4dc9d725ae
SHA512: c046f4e2cefa58acfa65c47cbd4b70c7dbeb751c73bb90917f090f5a7963639318be0713c7857fd8a49f361002766f6ef5bbd2781ec74c089827316e81168953
Homepage: https://cran.r-project.org/package=shapley
Description: CRAN Package 'shapley' (Weighted Mean SHAP and CI for Robust Feature Assessment in MLGrid)
 This R package introduces Weighted Mean SHapley Additive exPlanations
 (WMSHAP), an innovative method for calculating SHAP values for a grid of
 fine-tuned base-learner machine learning models as well as stacked
 ensembles, a method not previously available due to the common reliance on
 single best-performing models. By integrating the weighted mean SHAP values
 from individual base-learners comprising the ensemble or individual
 base-learners in a tuning grid search, the package weights SHAP
 contributions according to each model's performance, assessed by multiple
 either R squared (for both regression and classification models).
 alternatively, this software also offers weighting SHAP values based on the
 area under the precision-recall curve (AUCPR), the area under the curve
 (AUC), and F2 measures for binary classifiers. It further extends this
 framework to implement weighted confidence intervals for weighted mean SHAP
 values, offering a more comprehensive and robust feature importance
 evaluation over a grid of machine learning models, instead of solely
 computing SHAP values for the best model. This methodology is particularly
 beneficial for addressing the severe class imbalance (class rarity) problem
 by providing a transparent, generalized measure of feature importance that
 mitigates the risk of reporting SHAP values for an overfitted or biased
 model and maintains robustness under severe class imbalance, where there is
 no universal criteria of identifying the absolute best model. Furthermore,
 the package implements hypothesis testing to ascertain the statistical
 significance of SHAP values for individual features, as well as comparative
 significance testing of SHAP contributions between features. Additionally,
 it tackles a critical gap in feature selection literature by presenting
 criteria for the automatic feature selection of the most important features
 across a grid of models or stacked ensembles, eliminating the need for
 arbitrary determination of the number of top features to be extracted. This
 utility is invaluable for researchers analyzing feature significance,
 particularly within severely imbalanced outcomes where conventional methods
 fall short. Moreover, it is also expected to report democratic feature
 importance across a grid of models, resulting in a more comprehensive and
 generalizable feature selection. The package further implements a novel
 method for visualizing SHAP values both at subject level and feature level
 as well as a plot for feature selection based on the weighted mean SHAP
 ratios.

Package: r-cran-shapleyoutlier
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rdpack, r-cran-tibble, r-cran-tidyr, r-cran-robustbase, r-cran-forcats, r-cran-egg, r-cran-ggplot2, r-cran-gridextra, r-cran-rcolorbrewer, r-cran-magrittr
Suggests: r-cran-cellwise, r-cran-robusthd, r-cran-knitr, r-cran-mass, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shapleyoutlier_0.1.2-1.ca2004.1_all.deb
Size: 789156
MD5sum: 6b51e04bc1f2b469cf03d36c07aefb86
SHA1: a72a7f149ab1c2bf3e68db426b5f19784e136424
SHA256: 8877bd579ec9f0fee2c64cfe20e5c20c9a0c2b443f15954569f910046e87bd21
SHA512: a4d34f3db754d5c9a97bd5158bef23b867e79cd20ad19226f11f8877860910a74db42fd6cc34072e76198cf67e707a8fe078d6544b625177d392f207314f6367
Homepage: https://cran.r-project.org/package=ShapleyOutlier
Description: CRAN Package 'ShapleyOutlier' (Multivariate Outlier Explanations using Shapley Values andMahalanobis Distances)
 Based on Shapley values to explain multivariate outlyingness and to detect
 and impute cellwise outliers.  Includes implementations of methods described
 in Mayrhofer and Filzmoser (2023) <doi:10.1016/j.ecosta.2023.04.003>.

Package: r-cran-shapleyvalue
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyverse, r-cran-kableextra, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shapleyvalue_0.2.0-1.ca2004.1_all.deb
Size: 20484
MD5sum: e750ca1f2276ceec86a362ec2413af61
SHA1: e963b8535edda827f9a2ae48b4ad211370d0fecf
SHA256: f54b88a1f77a5da8a2488618b937ad88652f6adedf3e670875e939fcbac093df
SHA512: 4cada80d76b39dc0a85212aef281fd0bb8e8307b388b6e7f9dcd6bdd9a6267c8e20ba9085dcc051d6ca96575d8e350fc5a02e94aa388e175508132e147528a4f
Homepage: https://cran.r-project.org/package=ShapleyValue
Description: CRAN Package 'ShapleyValue' (Shapley Value Regression for Relative Importance of Attributes)
 Shapley Value Regression for calculating the relative importance of
 independent variables in linear regression with avoiding the collinearity.

Package: r-cran-shapper
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-dalex, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-knitr, r-cran-randomforest, r-cran-rpart, r-cran-testthat, r-cran-markdown, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-shapper_0.1.3-1.ca2004.1_all.deb
Size: 66300
MD5sum: 10d82c445f5aa71eb045cd401780dc56
SHA1: 60d44727e68b874f69bde0b4815f797c38efc27d
SHA256: 379e1e5247a663904a23997ab4ebb5bfc3c9178c827e8c99716f1198598d63e5
SHA512: 4fd4d0bbe9c35963864dea5a4d913787f71fb4e0e70df3790c224c488b9879370f4dfec6cb8fbdd99c4ebfb6b99a937469c9b0d0704764e83ceb50e0e31e4981
Homepage: https://cran.r-project.org/package=shapper
Description: CRAN Package 'shapper' (Wrapper of Python Library 'shap')
 Provides SHAP explanations of machine learning models. In applied machine
 learning, there is a strong belief that we need to strike a balance between
 interpretability and accuracy. However, in field of the Interpretable
 Machine Learning, there are more and more new ideas for explaining black-box
 models. One of the best known method for local explanations is SHapley
 Additive exPlanations (SHAP) introduced by Lundberg, S., et al., (2016)
 <arXiv:1705.07874> The SHAP method is used to calculate influences of
 variables on the particular observation. This method is based on Shapley
 values, a technique used in game theory. The R package 'shapper' is a port
 of the Python library 'shap'.

Package: r-cran-shapviz
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3236
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggfittext, r-cran-gggenes, r-cran-ggplot2, r-cran-ggrepel, r-cran-patchwork, r-cran-rlang, r-cran-xgboost
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shapviz_0.10.1-1.ca2004.1_all.deb
Size: 1923036
MD5sum: e55a050b8e9fcb3e1e4a4db7baf9f599
SHA1: ffe977f6aa4b432203bad6a004d702b302265aa0
SHA256: 6f5200f33c031b4ef5147d2ba2abfbe156538a1362c2e370e4d60500e1ceabac
SHA512: 51e87888aa1aeb389e343fe227ab60b1be19d450f361ecd08da8d08850eaa0f372393ab46b248147ee0ae7be85bc967f5ae5d63857b962673b1e7ec22f7dd4dc
Homepage: https://cran.r-project.org/package=shapviz
Description: CRAN Package 'shapviz' (SHAP Visualizations)
 Visualizations for SHAP (SHapley Additive exPlanations), such as waterfall
 plots, force plots, various types of importance plots, dependence plots, and
 interaction plots.  These plots act on a 'shapviz' object created from a
 matrix of SHAP values and a corresponding feature dataset. Wrappers for the
 R packages 'xgboost', 'lightgbm', 'fastshap', 'shapr', 'h2o', 'treeshap',
 'DALEX', and 'kernelshap' are added for convenience.  By separating
 visualization and computation, it is possible to display factor variables in
 graphs, even if the SHAP values are calculated by a model that requires
 numerical features. The plots are inspired by those provided by the 'shap'
 package in Python, but there is no dependency on it.

Package: r-cran-shar
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2154
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classint, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.model, r-cran-spatstat.random, r-cran-terra
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-spatstat, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shar_2.3.1-1.ca2004.1_all.deb
Size: 1200444
MD5sum: d1395f51dc8db6c5aafb357edb6b7a1c
SHA1: a9d2988a4be3d083043c8f2fd624a1feb8b53c01
SHA256: 6e9ef69a1251ed3a02053a1e9a6c4de4bc6665e992d713cb6b4e35ec99b43b95
SHA512: 4f0609be1bca6b0dbd854756bafe2f1fe78d63f77b0eb0cf9a63717ca2eb0ddb21e2f6ad01d1f3d94a302c4ef729fa39a1af82ecd8458a0e63fbb3e54eeaed22
Homepage: https://cran.r-project.org/package=shar
Description: CRAN Package 'shar' (Species-Habitat Associations)
 Analyse species-habitat associations in R. Therefore, information about the
 location of the species (as a point pattern) is needed together with
 environmental conditions (as a categorical raster). To test for significance
 habitat associations, one of the two components is randomized. Methods are
 mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms
 et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.

Package: r-cran-sharkdemography
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-interp, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-popbio, r-cran-iterators, r-cran-dofuture, r-cran-doparallel, r-cran-foreach, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sharkdemography_1.1.0-1.ca2004.1_all.deb
Size: 117068
MD5sum: 4f3020d4d612efe24cc945d196b6fd51
SHA1: fd37565c2e00f09311b026f83bb0d6856fe172b9
SHA256: bd5c16268370c9898f202697f5bcd352b4ef6b7793eb09770d5d02f3bbbd8f55
SHA512: ace0f69a4a080c4db81cb23ecf78340d1ec0299006861c2dfd97048efffa317875ad052916470a2c0bf852521b6b21332497041c1a7dd12024f3dd5b46984896
Homepage: https://cran.r-project.org/package=SharkDemography
Description: CRAN Package 'SharkDemography' (Shark Demographic Analyses Using Leslie Matrix Models)
 Run Leslie Matrix models using Monte Carlo simulations for any specified
 shark species.  This package was developed during the publication of Smart,
 JJ, White, WT, Baje, L, et al. (2020) "Can multi-species shark longline
 fisheries be managed sustainably using size limits?  Theoretically, yes.
 Realistically, no".J Appl Ecol. 2020; 57; 1847–1860.
 <doi:10.1111/1365-2664.13659>.

Package: r-cran-sharp
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1974
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fake, r-cran-abind, r-cran-beepr, r-cran-future, r-cran-future.apply, r-cran-glassofast, r-cran-glmnet, r-cran-igraph, r-cran-mclust, r-cran-nloptr, r-cran-plotrix, r-cran-rdpack, r-cran-withr
Suggests: r-cran-cluster, r-cran-corpcor, r-cran-dbscan, r-cran-elasticnet, r-cran-gglasso, r-bioc-mixomics, r-cran-nnet, r-cran-openmx, r-bioc-rcy3, r-cran-randomcolor, r-cran-rmarkdown, r-cran-rpart, r-cran-sgpls, r-cran-sparcl, r-cran-survival, r-cran-testthat, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-sharp_1.4.7-1.ca2004.1_all.deb
Size: 1445960
MD5sum: 4d0987068b5f1d048ac218f9a6fed135
SHA1: f419105ce3aa02e00655e3bf0dc1f014ae552ddb
SHA256: d3af6572d6b71d403992340dadd960f6b3dbc3f23b64d68621b10d1970186e3b
SHA512: 743af7322d30447b4ad4a073f3e053f3fd1f7d2d750bb8d1c7cd919a7a45ca0f3e0025fac3f876bf699c48af2d461830a9409c3c21d6faa4772379c01d46c747
Homepage: https://cran.r-project.org/package=sharp
Description: CRAN Package 'sharp' (Stability-enHanced Approaches using Resampling Procedures)
 In stability selection (N Meinshausen, P Bühlmann (2010)
 <doi:10.1111/j.1467-9868.2010.00740.x>) and consensus clustering (S Monti et
 al (2003) <doi:10.1023/A:1023949509487>), resampling techniques are used to
 enhance the reliability of the results. In this package (B Bodinier et al
 (2025) <doi:10.18637/jss.v112.i05>), hyper-parameters are calibrated by
 maximising model stability, which is measured under the null hypothesis that
 all selection (or co-membership) probabilities are identical (B Bodinier et
 al (2023a) <doi:10.1093/jrsssc/qlad058> and B Bodinier et al (2023b)
 <doi:10.1093/bioinformatics/btad635>). Functions are readily implemented for
 the use of LASSO regression, sparse PCA, sparse (group) PLS or graphical
 LASSO in stability selection, and hierarchical clustering, partitioning
 around medoids, K means or Gaussian mixture models in consensus clustering.

Package: r-cran-sharper
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3087
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixcalc, r-cran-zoo, r-cran-epsiwal
Suggests: r-cran-xtable, r-cran-xts, r-cran-timeseries, r-cran-quantmod, r-cran-mass, r-cran-ttr, r-cran-testthat, r-cran-sandwich, r-cran-txtplot, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sharper_1.4.0-1.ca2004.1_all.deb
Size: 2653628
MD5sum: 0415c07fb727e20a5271b7c55aa5db90
SHA1: 790f82c7c0a1ed035178a9ffa584f6c7405fb32d
SHA256: 1a7aa415105a983d2a931e0661ddf16418b3e1a7b5c8b586f8fc4bd49e17795c
SHA512: 9699db403aa70fb784210a4ea7b5d9238aabab567f724dcb6ab2bee72d5b87c1b545f81f43c303b78ef83566a5bed9840cfc70d2929abcc9438fbe6ec00fc6d0
Homepage: https://cran.r-project.org/package=SharpeR
Description: CRAN Package 'SharpeR' (Statistical Significance of the Sharpe Ratio)
 A collection of tools for analyzing significance of assets, funds, and
 trading strategies, based on the Sharpe ratio and overfit of the same.
 Provides density, distribution, quantile and random generation of the Sharpe
 ratio distribution based on normal returns, as well as the optimal Sharpe
 ratio over multiple assets. Computes confidence intervals on the Sharpe and
 provides a test of equality of Sharpe ratios based on the Delta method. The
 statistical foundations of the Sharpe can be found in the author's Short
 Sharpe Course <doi:10.2139/ssrn.3036276>.

Package: r-cran-sharpr2
Architecture: all
Version: 1.1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-sharpr2_1.1.1.0-1.ca2004.1_all.deb
Size: 196620
MD5sum: 5a4c6331b6b609a29e8ed6073d02736a
SHA1: 294b10954f5868fc202a181f8ad465848cf65a23
SHA256: eab9dc8d19aa8630c898b621dc61400abf5a1864a1d283561d0b66a7af472380
SHA512: b8f621020b84b6fcb869f12538cd864109b992cccdd973628e145fb9ff13d27fe63fcf8c02a2c470e22c6c5f3c4da4e957ab7db80889e7a27df68229baf995cb
Homepage: https://cran.r-project.org/package=sharpr2
Description: CRAN Package 'sharpr2' (Estimating Regulatory Scores and Identifying ATAC-STARR Data)
 An algorithm for identifying high-resolution driver elements for datasets
 from a high-definition reporter assay library. Xinchen Wang, Liang He, Sarah
 Goggin, Alham Saadat, Li Wang, Melina Claussnitzer, Manolis Kellis (2017)
 <doi:10.1101/193136>.

Package: r-cran-sharpshootr
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 572
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aqp, r-cran-ape, r-cran-soildb, r-cran-cluster, r-cran-lattice, r-cran-reshape2, r-cran-scales, r-cran-circular, r-cran-rcolorbrewer, r-cran-plyr, r-cran-digest, r-cran-e1071, r-cran-stringi, r-cran-curl
Suggests: r-cran-mass, r-cran-spdep, r-cran-circlize, r-cran-rvest, r-cran-xml2, r-cran-terra, r-cran-raster, r-cran-exactextractr, r-cran-httr, r-cran-jsonlite, r-cran-igraph, r-cran-dendextend, r-cran-testthat, r-cran-latticeextra, r-cran-farver, r-cran-venn, r-cran-gower, r-cran-daymetr, r-cran-elevatr, r-cran-evapotranspiration, r-cran-zoo, r-cran-soiltaxonomy, r-cran-sf, r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-sharpshootr_2.3.3-1.ca2004.1_all.deb
Size: 505676
MD5sum: e31ede9c5e5017c550fed59894bd11e4
SHA1: 9c5ef96a899874e9346df5a131d5be2a69d2512f
SHA256: d20827dc430cae41b418e1f1788e3311c739c375c0ae9de5de4bfc2994bd76e8
SHA512: cf77abfeb3b8894ab9d8170964b35b8e34154eec5bcaf937cb8d18027435f3d091d7813e5ee1d3a01e171a55b2974cf3b1800843d3c1f7c92d84d74c61abf41e
Homepage: https://cran.r-project.org/package=sharpshootR
Description: CRAN Package 'sharpshootR' (A Soil Survey Toolkit)
 A collection of data processing, visualization, and export functions to
 support soil survey operations. Many of the functions build on the
 `SoilProfileCollection` S4 class provided by the aqp package, extending
 baseline visualization to more elaborate depictions in the context of
 spatial and taxonomic data. While this package is primarily developed by and
 for the USDA-NRCS, in support of the National Cooperative Soil Survey, the
 authors strive for generalization sufficient to support any soil survey
 operation. Many of the included functions are used by the SoilWeb suite of
 websites and movile applications. These functions are provided here, with
 additional documentation, to enable others to replicate high quality
 versions of these figures for their own purposes.

Package: r-cran-sharx
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-dcmle, r-cran-dclone
Filename: pool/dists/focal/main/r-cran-sharx_1.0-6-1.ca2004.1_all.deb
Size: 198300
MD5sum: 61777c95a489bb527539ad7eaf98ab06
SHA1: 216333ea359932ea88a9b08b8f72985c689a7201
SHA256: 484f535649049a115b666c79e33468bf9bcaba7087ebe9c977100939d36305c4
SHA512: 6070d2b220588640f27843d4f38b21b9dc4e98227ba83c5f14943da8dcab2f5b1181b258c5a5028351728dda86be352134728bc8f14d180c307b6c4b6304df5f
Homepage: https://cran.r-project.org/package=sharx
Description: CRAN Package 'sharx' (Models and Data Sets for the Study of Species-Area Relationships)
 Hierarchical models for the analysis of species-area relationships (SARs) by
 combining several data sets and covariates; with a global data set combining
 individual SAR studies; as described in Solymos and Lele (2012)
 <doi:10.1111/j.1466-8238.2011.00655.x>.

Package: r-cran-shattering
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-pdist, r-cran-slam, r-cran-ryacas, r-cran-rmarkdown, r-cran-pracma, r-cran-e1071, r-cran-nmf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shattering_1.0.7-1.ca2004.1_all.deb
Size: 71660
MD5sum: 07f17a4289459286da7c4b8cb720cf90
SHA1: 6bf0e4b9d20f0c7d20dbeab6f928463b6d57a059
SHA256: 1b7e7ad11868a31882df689a02c554866ada4c5142dfd377102fc058b536cee5
SHA512: 96fdd3a772f9812cadca814336e310f48b55918b667aa9eb1422811906904549a0e7bd993843c56ccf1dbb29e8e506abdb4055b5b61190a3ac7fd41da3709bd6
Homepage: https://cran.r-project.org/package=shattering
Description: CRAN Package 'shattering' (Estimate the Shattering Coefficient for a Particular Dataset)
 The Statistical Learning Theory (SLT) provides the theoretical background to
 ensure that a supervised algorithm generalizes the mapping f:X -> Y given f
 is selected from its search space bias F. This formal result depends on the
 Shattering coefficient function N(F,2n) to upper bound the empirical risk
 minimization principle, from which one can estimate the necessary training
 sample size to ensure the probabilistic learning convergence and, most
 importantly, the characterization of the capacity of F, including its under
 and overfitting abilities while addressing specific target problems. In this
 context, we propose a new approach to estimate the maximal number of
 hyperplanes required to shatter a given sample, i.e., to separate every pair
 of points from one another, based on the recent contributions by Har-Peled
 and Jones in the dataset partitioning scenario, and use such foundation to
 analytically compute the Shattering coefficient function for both binary and
 multi-class problems. As main contributions, one can use our approach to
 study the complexity of the search space bias F, estimate training sample
 sizes, and parametrize the number of hyperplanes a learning algorithm needs
 to address some supervised task, what is specially appealing to deep neural
 networks. Reference: de Mello, R.F. (2019) "On the Shattering Coefficient of
 Supervised Learning Algorithms" <arXiv:1911.05461>; de Mello, R.F., Ponti,
 M.A. (2018, ISBN: 978-3319949888) "Machine Learning: A Practical Approach on
 the Statistical Learning Theory".

Package: r-cran-shazam
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2654
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-alakazam, r-cran-ape, r-cran-diptest, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-igraph, r-cran-iterators, r-cran-kernsmooth, r-cran-lazyeval, r-cran-mass, r-cran-progress, r-cran-rlang, r-cran-scales, r-cran-seqinr, r-cran-stringi, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shazam_1.2.0-1.ca2004.1_all.deb
Size: 2186696
MD5sum: cec5bef737644590a99e3d0a4aae60db
SHA1: 982d16f4390136a1439dbcbf43d2d27a72e28796
SHA256: 564365b7204124bd39c1731085829ab40c3abecd8e8317d7976a734fcdce31a9
SHA512: a3aad61a4630a7d993c72d166d3aad53d67756a8a711ba6dc4e5a0a5570e6d42c7d662cbfd7f3b6cf8e0d154f47cd9b0e3a2f111610fccad8079003c5c92aa10
Homepage: https://cran.r-project.org/package=shazam
Description: CRAN Package 'shazam' (Immunoglobulin Somatic Hypermutation Analysis)
 Provides a computational framework for analyzing mutations in immunoglobulin
 (Ig) sequences. Includes methods for Bayesian estimation of antigen-driven
 selection pressure, mutational load quantification, building of somatic
 hypermutation (SHM) models, and model-dependent distance calculations.  Also
 includes empirically derived models of SHM for both mice and humans.
 Citations: Gupta and Vander Heiden, et al (2015)
 <doi:10.1093/bioinformatics/btv359>, Yaari, et al (2012)
 <doi:10.1093/nar/gks457>, Yaari, et al (2013)
 <doi:10.3389/fimmu.2013.00358>, Cui, et al (2016)
 <doi:10.4049/jimmunol.1502263>.

Package: r-cran-shelf
Architecture: all
Version: 1.12.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 840
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexsurv, r-cran-ggextra, r-cran-ggplot2, r-cran-ggridges, r-cran-hmisc, r-cran-rmarkdown, r-cran-scales, r-cran-shiny, r-cran-shinymatrix, r-cran-sn, r-cran-survival, r-cran-survminer, r-cran-tidyr
Suggests: r-cran-ggally, r-cran-knitr, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-shelf_1.12.0-1.ca2004.1_all.deb
Size: 643032
MD5sum: e58dbf6ed508a92466c0c0a9b2f51ef5
SHA1: 0852d2e2dce2357070ccc3c25d18aad98604ce70
SHA256: ebc6dc7dad0d3b8c8cf1029e90d3b34b962c8ee2c6f128483b40e6a7f154160b
SHA512: 97c3663c3276acd593f9636f5ebd50dc86056c424f0e0392f8f61b85ffe17ef0c85ef2b377fc091b040d1691c05e0dab9472232d90d992fb260b4adb3a669b2d
Homepage: https://cran.r-project.org/package=SHELF
Description: CRAN Package 'SHELF' (Tools to Support the Sheffield Elicitation Framework)
 Implements various methods for eliciting a probability distribution for a
 single parameter from an expert or a group of experts. The expert provides a
 small number of probability judgements, corresponding to points on his or
 her cumulative distribution function. A range of parametric distributions
 can then be fitted and displayed, with feedback provided in the form of
 fitted probabilities and percentiles. For multiple experts, a weighted
 linear pool can be calculated. Also includes functions for eliciting beliefs
 about population distributions; eliciting multivariate distributions using a
 Gaussian copula; eliciting a Dirichlet distribution; eliciting distributions
 for variance parameters in a random effects meta-analysis model; survival
 extrapolation. R Shiny apps for most of the methods are included.

Package: r-cran-shellchron
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rtop, r-cran-zoo, r-cran-ggplot2, r-cran-tidyr, r-cran-scales, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shellchron_0.4.0-1.ca2004.1_all.deb
Size: 521452
MD5sum: 42790e9ccfd3009f14114d67177628c4
SHA1: f65829febc81751fbc9c10a8816884e70a7a91c1
SHA256: f8ce636e3730f7dff4037f8a067377ea5103aee9e957534f60448af67ae0daa8
SHA512: eb33d1320504f959687fa069cd169c6e246fa1f15b8f9c34c25d91c2949f22253de7248677b80c8e2b8de49057fb2d75445350ebe2af791189a64ba7ad2266f9
Homepage: https://cran.r-project.org/package=ShellChron
Description: CRAN Package 'ShellChron' (Builds Chronologies from Oxygen Isotope Profiles in Shells)
 Takes as input a stable oxygen isotope (d18O) profile measured in growth
 direction (D) through a shell + uncertainties in both variables (d18O_err &
 D_err). It then models the seasonality in the d18O record by fitting a
 combination of a growth and temperature sine wave to year-length chunks of
 the data (see Judd et al., (2018) <doi:10.1016/j.palaeo.2017.09.034>). This
 modeling is carried out along a sliding window through the data and yields
 estimates of the day of the year (Julian Day) and local growth rate for each
 data point. Uncertainties in both modeling routine and the data itself are
 propagated and pooled to obtain a confidence envelope around the age of each
 data point in the shell. The end result is a shell chronology consisting of
 estimated ages of shell formation relative to the annual cycle with their
 uncertainties. All formulae in the package serve this purpose, but the user
 can customize the model (e.g. number of days in a year and the mineralogy of
 the shell carbonate) through input parameters.

Package: r-cran-shelltrace
Architecture: all
Version: 3.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2780
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xlsx, r-cran-bmp, r-cran-tiff
Filename: pool/dists/focal/main/r-cran-shelltrace_3.5.1-1.ca2004.1_all.deb
Size: 2436684
MD5sum: 1708c6cb9cb9d61ce4b70fe392e05096
SHA1: 6d16e996deb317ac9b86c0c499ac97dac3e298ee
SHA256: 5a8b049172994ef381c8d0db62e037a4b8a089ae04c68d537b74c50a2bdcb79a
SHA512: c42aeafb21e7c9725629b38b5490cb02c569d6b3ca631e601c11a226e7867ff0b3e27897ed0bcbf54b7ee05c128b8b8a9217bc6312c9a8fbdffa6e9d2ab03c82
Homepage: https://cran.r-project.org/package=shelltrace
Description: CRAN Package 'shelltrace' (Bivalve Growth and Trace Element Accumulation Model)
 Contains all the formulae of the growth and trace element uptake model
 described in the equally-named Geoscientific Model Development paper (de
 Winter, 2017, <doi:10.5194/gmd-2017-137>). The model takes as input a file
 with X- and Y-coordinates of digitized growth increments recognized on a
 longitudinal cross section through the bivalve shell, as well as a BMP file
 of an elemental map of the cross section surface with chemically distinct
 phases separated by phase analysis. It proceeds by a step-by-step process
 described in the paper, by which digitized growth increments are used to
 calculate changes in shell height, shell thickness, shell volume, shell mass
 and shell growth rate through the bivalve's life time. Then, results of this
 growth modelling are combined with the trace element mapping results to
 trace the incorporation of trace elements into the bivalve shell. Results of
 various modelling parameters can be exported in the form of XLSX files.

Package: r-cran-shelter
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-getpass, r-cran-yaml, r-cran-filelock, r-cran-rappdirs, r-cran-sodium
Suggests: r-cran-testthat, r-cran-rstudioapi, r-cran-mockery, r-cran-keyring
Filename: pool/dists/focal/main/r-cran-shelter_0.2.1-1.ca2004.1_all.deb
Size: 74756
MD5sum: f3def3d8d15664b76fad046dea5e9f19
SHA1: 298842fc500528299b3c6ffb9f216c290b8eb8bc
SHA256: 345e5a60320be8cb97413df4ea83a9b1d1f9b780ea3659c49a130e746f689fa9
SHA512: 4093685724df537ecdd0dcc0d96349364f13586c3540d9623608e984738f130ffbd8a7d5693aafd5b1bc0130a87ac2af5e7e99918b2fd3dab5a8bbe5eb254af8
Homepage: https://cran.r-project.org/package=shelter
Description: CRAN Package 'shelter' (Support for Secure API Key Management)
 Secure handling of API keys can be difficult. This package provides secure
 convenience functions for entering / handling API keys and opening
 connections via inversion of control on those keys. Works seamlessly between
 production and developer environments.

Package: r-cran-sherlock
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-forcats, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-cowplot, r-cran-scales, r-cran-ggh4x, r-cran-stringr, r-cran-plotly, r-cran-readr, r-cran-openxlsx, r-cran-purrr, r-cran-fs, r-cran-rstudioapi, r-cran-tidytext
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-sherlock_0.7.0-1.ca2004.1_all.deb
Size: 487596
MD5sum: f8f354b6a294cf6d00af0fa21710c8b9
SHA1: fea4c4c7a94522221716c2b1f2dfa3b516d11dbe
SHA256: 08cfd0fd2b2fad11b28eb9e6427710c444ce8dc4f884afbf4c725975af6b800b
SHA512: b95fb645ad5f3d226e2d551545342e421c0d1cef9e0960e62222c38a258e070181696bc39e6c44e1e601b32e78948ab8fd8c68c76c3a9e9df9992378c2738838
Homepage: https://cran.r-project.org/package=sherlock
Description: CRAN Package 'sherlock' (Graphical Displays for Structured Problem Solving and Diagnosis)
 Powerful graphical displays and statistical tools for structured problem
 solving and diagnosis.  The functions of the 'sherlock' package are
 especially useful for applying the process of elimination as a problem
 diagnosis technique.  The 'sherlock' package was designed to seamlessly work
 with the 'tidyverse' set of packages and provides a collection of graphical
 displays built on top of the 'ggplot' and 'plotly' packages, such as
 different kinds of small multiple plots as well as helper functions such as
 adding reference lines, normalizing observations, reading in data or saving
 analysis results in an Excel file.  References: David Hartshorne (2019,
 ISBN: 978-1-5272-5139-7).  Stefan H. Steiner, R. Jock MacKay (2005, ISBN:
 0873896467).

Package: r-cran-sherlockholmes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6463
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qpdf, r-cran-stringr, r-cran-dpseg, r-cran-tablehtml, r-cran-plotrix, r-cran-zoo, r-cran-stargazer, r-cran-textboxplacement, r-cran-plot.matrix, r-cran-devtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sherlockholmes_1.0.1-1.ca2004.1_all.deb
Size: 2309060
MD5sum: 503a4c62eece2ecf327d98c064c4037a
SHA1: 4ff66b27695a367fd275b0d1515120c169e0612c
SHA256: d25f5f615e224236970def94e853c811531b0eae9183f5e7b474463113ed9919
SHA512: 434b758cb90679cda750b24528f46ac86cee31acef442e5060b9753aca25463061ce2cbdd61baf6e3745c169601ae73e7c69396f38aa903d6150db06c764c670
Homepage: https://cran.r-project.org/package=SherlockHolmes
Description: CRAN Package 'SherlockHolmes' (Building a Concordance of Terms in a Series of Texts)
 Compute the frequency distribution of a search term in a series of texts.
 For example, Arthur Conan Doyle wrote a total of 60 Sherlock Holmes stories,
 comprised of 54 short stories and 4 longer novels. I wanted to test my own
 subjective impression that, in many of the stories, Sherlock Holmes'
 popularity was used as bait to induce the reader to read a story that is
 essentially not primarily a Sherlock Holmes story. I used the term "Holmes"
 as a search pattern, since Watson would frequently address him by name, or
 use his name to describe something that he was doing. My hypothesis is that
 the frequency distribution of the search pattern "Holmes" is a good proxy
 for the degree to which a story is or is not truly a Sherlock Holmes story.
 The results are presented in a manuscript that is available as a vignette
 and online at <https://barryzee.github.io/Concordance/index.html>.

Package: r-cran-shidashi
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3264
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-fastmap, r-cran-formatr, r-cran-httr, r-cran-shiny, r-cran-yaml, r-cran-jsonlite
Suggests: r-cran-htmltools, r-cran-logger, r-cran-rstudioapi, r-cran-ggplot2, r-cran-ggextra
Filename: pool/dists/focal/main/r-cran-shidashi_0.1.6-1.ca2004.1_all.deb
Size: 786912
MD5sum: 004434e134905b4729c1298bb535c92b
SHA1: 963b4a42f12ed8a27ad82c0902af677ef856a899
SHA256: 9332a5422933d0743434b738408577b8bc7ef4a4e62e1942fd1055115d86f9e2
SHA512: bdd3e0149b920463d2c438f7ec609407d3d299ee173fb1c615559a98abe5e6b08fcc9f06003dac52b992e05491b78728568c15634f641e6ddacab290fd0b088c
Homepage: https://cran.r-project.org/package=shidashi
Description: CRAN Package 'shidashi' (A Shiny Dashboard Template System)
 A template system based on 'AdminLTE3' (<https://adminlte.io/themes/v3/>)
 theme. Comes with default theme that can be easily customized.  Developers
 can upload modified templates on 'Github', and users can easily download
 templates with 'RStudio' project wizard.  The key features of the default
 template include light and dark theme switcher, resizing graphs,
 synchronizing inputs across sessions, new notification system, fancy
 progress bars, and card-like flip panels with back sides, as well as various
 of 'HTML' tool widgets.

Package: r-cran-shiftsharese
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1544
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-aer, r-cran-spelling, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-shiftsharese_1.1.0-1.ca2004.1_all.deb
Size: 1514052
MD5sum: 11903c60dc96220f190d33f06bd7cc9b
SHA1: 851f92221b7bbb14ed746e08b052958afb701c66
SHA256: 2a196e3f4275a0c1fbbea41f150b1ef2d34d168ff19975ca071536697a02e35d
SHA512: 9ef8f7d2bbe95383db51be9572d46776e4845d0906bcdcc67fa67bd746ff114aba8a6bd85012670de17b1fef3acf58343e5c119aaa5ee9b90ad71bb7968c6eb9
Homepage: https://cran.r-project.org/package=ShiftShareSE
Description: CRAN Package 'ShiftShareSE' (Inference in Regressions with Shift-Share Structure)
 Provides confidence intervals in least-squares regressions when the variable
 of interest has a shift-share structure, and in instrumental variables
 regressions when the instrument has a shift-share structure. The confidence
 intervals implement the AKM and AKM0 methods developed in Adão, Kolesár, and
 Morales (2019) <doi:10.1093/qje/qjz025>.

Package: r-cran-shinipsum
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-attempt, r-cran-dt, r-cran-dygraphs, r-cran-ggplot2, r-cran-magrittr, r-cran-plotly
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinipsum_0.1.1-1.ca2004.1_all.deb
Size: 356100
MD5sum: 73d54b56843895f85ea89f41be689a3f
SHA1: b9f0f977a7e7fd0dbee048239a33fbfcf74b877d
SHA256: c218c0574082b6ab38f6d6683f992ad44b3592371e97d0437e9e51a176dd5a8f
SHA512: 65274ce78e45171c35ffaaa549b0652974b381819adbae6674077f3b11defd3faa555e688c0c7ce0bfae8c4ad813b67d138775d0f2aaecee3889318104c97df3
Homepage: https://cran.r-project.org/package=shinipsum
Description: CRAN Package 'shinipsum' (Lorem-Ipsum-Like Helpers for Fast Shiny Prototyping)
 Prototype your shiny apps quickly with these Lorem-Ipsum-like Helpers.

Package: r-cran-shiny.benchmark
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-jsonlite, r-cran-progress, r-cran-renv, r-cran-shinytest2, r-cran-stringr, r-cran-testthat, r-cran-fs
Suggests: r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-mockr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-shiny.benchmark_0.1.1-1.ca2004.1_all.deb
Size: 212360
MD5sum: 228ca8ee995c283254f2beb56cfad8a5
SHA1: c460f74551938a1bd8575b2a0f8c96e731cbd4b4
SHA256: a9f4c65485087b091c32acdbb4f68ec565393cf12bf2c1b57fef9611b834d58f
SHA512: af566986b4d8511b3e9d599e76e2346557029e202215151e62933630eeded9416ee1c7f6341d7966b70e1fe27a707846ea7c57178cffb004794d1333373d2d08
Homepage: https://cran.r-project.org/package=shiny.benchmark
Description: CRAN Package 'shiny.benchmark' (Benchmark the Performance of 'shiny' Applications)
 Compare performance between different versions of a 'shiny' application
 based on 'git' references.

Package: r-cran-shiny.blueprint
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-htmltools, r-cran-shiny, r-cran-shiny.react
Suggests: r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-purrr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-shiny.router
Filename: pool/dists/focal/main/r-cran-shiny.blueprint_0.3.0-1.ca2004.1_all.deb
Size: 637760
MD5sum: c5cd28a9288badc3ba1a5218e22a022e
SHA1: b47e9df76d6bc10dd0dabafaca6b660009e5132b
SHA256: 8dd391d718ecffb0e3e0e24541fea185507a7b7ad4329e77ad707abfb9c0ccf2
SHA512: 4e3293b5bbc72303c2e659d18bf876a64e69399639b83d5b48c0751cd010b0591c77cf06e77ec21140ce41e3896c8c969c7d48e58957450657ebd902ef2c26bb
Homepage: https://cran.r-project.org/package=shiny.blueprint
Description: CRAN Package 'shiny.blueprint' (Palantir's 'Blueprint' for 'Shiny' Apps)
 Easily use 'Blueprint', the popular 'React' library from Palantir, in your
 'Shiny' app.  'Blueprint' provides a rich set of UI components for creating
 visually appealing applications and is optimized for building complex,
 data-dense web interfaces.  This package provides most components from the
 underlying library, as well as special wrappers for some components to make
 it easy to use them in 'R' without writing 'JavaScript' code.

Package: r-cran-shiny.destroy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 493
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-rlang, r-cran-shiny
Suggests: r-cran-bslib, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shiny.destroy_0.1.0-1.ca2004.1_all.deb
Size: 303336
MD5sum: 1b292178e4b01dba2c4fb4e7f6ab958b
SHA1: 1eecbe544f8c6e766d61c57b00a839e2b5f01f3e
SHA256: 28a6dde1aa5c5ca9df39dfc0764156a57bb2207e06291d8799c7e8cdb2af522e
SHA512: b11495cfd7fc8d3dd5fc6d1a7a33fe353177ba922943ab4f2e1ae8df14ff63e57fb1cf333d7c8b76d8d25f422980285123c9f8fa3a74a91208bd2b0b90430974
Homepage: https://cran.r-project.org/package=shiny.destroy
Description: CRAN Package 'shiny.destroy' (Create Destroyable Modules in 'Shiny')
 Enables the complete removal of various 'Shiny' components, such as inputs,
 outputs and modules. It also aids in the removal of observers that have been
 created in dynamically created modules.

Package: r-cran-shiny.emptystate
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-r6, r-cran-shiny
Suggests: r-cran-bsicons, r-cran-chromote, r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-shinytest2, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shiny.emptystate_0.1.0-1.ca2004.1_all.deb
Size: 125312
MD5sum: ffaa27d5d73547134cedb68a637c89c0
SHA1: fe2150b37e4aea49516efdec7263e0375b86a34a
SHA256: 544cb1d6804a1e24ee7379040cbc2437dff1c4df5359d62b3d24bb4a83c89f38
SHA512: d0e9bb16b7ea9658594905f1360f4c140c554f2eb617f92a9aada331771e1f139cc3fae31fa85013f6b14c99b9ce8dfffb1cd3aa627c9fc7cfd9bdd898fc49ea
Homepage: https://cran.r-project.org/package=shiny.emptystate
Description: CRAN Package 'shiny.emptystate' (Empty State Components for 'Shiny')
 Offers a comprehensive solution for managing 'empty states' in 'Shiny'
 applications.  It provides tools to create both default and customizable
 components for scenarios where data is absent or doesn't match user-defined
 filters. The package prioritizes user experience, ensuring clarity and
 consistency even when data is not available to display.

Package: r-cran-shiny.exe
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-shiny, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shiny.exe_0.2.0-1.ca2004.1_all.deb
Size: 22440
MD5sum: 92fbb8eaad555ce7bae71d26fa8a462b
SHA1: a086bc6090137b0ef998642561ba6c19972f5f2c
SHA256: 87d529c8ffc509abdabf049b192451b4a4f977df967164ab8b15b257558574f8
SHA512: a960a47710de659d8dc0983827bad5008863ef09ef6b707be241aec5003397a3d8d7625f2883dd9529e774d0d789cf295782500cfa4bc8bbb6a964f2074f756b
Homepage: https://cran.r-project.org/package=shiny.exe
Description: CRAN Package 'shiny.exe' (Launch a Shiny Application without Opening R or RStudio)
 Launch an application by a simple click without opening R or RStudio. The
 package has 3 functions of which only one is essential in its use,
 `shiny.exe()`. It generates a script in the open shiny project then create a
 shortcut in the same folder that allows you to launch the app by clicking.If
 you set `host = 'public'`, the application will be launched on the public
 server to which you are connected. Thus, all other devices connected to the
 same server will be able to access the application through the link of your
 `IPv4` extended by the port. You can stop the application by leaving the
 terminal opened by the shortcut.

Package: r-cran-shiny.fluent
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3404
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-purrr, r-cran-shiny, r-cran-shiny.react
Suggests: r-cran-chromote, r-cran-covr, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-glue, r-cran-imola, r-cran-knitr, r-cran-leaflet, r-cran-mockery, r-cran-plotly, r-cran-rcmdcheck, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-sass, r-cran-shiny.i18n, r-cran-shiny.router, r-cran-shinyjs, r-cran-shinytest2, r-cran-sortable, r-cran-stringi, r-cran-testthat, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shiny.fluent_0.4.0-1.ca2004.1_all.deb
Size: 1203748
MD5sum: 4ec7c035ae89da515037ece701018d97
SHA1: 7da65d1f70c3fc29ba0d381ac0a9757afe12e748
SHA256: e78e97a885d32f64f1630c62843fbe165ef244d4b1fa735540b52d30d373d75a
SHA512: 6e88a6bf20e28cd60cfe79d2a8a80a967ead3a014af64c3249de44d95da730613df8742416ae48036bfece0fa52d236f9736a4067e7e80a1473c7641defaf41a
Homepage: https://cran.r-project.org/package=shiny.fluent
Description: CRAN Package 'shiny.fluent' (Microsoft Fluent UI for Shiny Apps)
 A rich set of UI components for building Shiny applications, including
 inputs, containers, overlays, menus, and various utilities.  All components
 from Fluent UI (the underlying JavaScript library) are available and have
 usage examples in R.

Package: r-cran-shiny.i18n
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-yaml, r-cran-jsonlite, r-cran-stringr, r-cran-r6, r-cran-glue, r-cran-shiny, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-googlelanguager, r-cran-knitr, r-cran-lintr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-shiny.i18n_0.3.0-1.ca2004.1_all.deb
Size: 123880
MD5sum: f7dda75ba9714e2a4b3b784306494014
SHA1: ad4aa4a287aac02505f8c45bb802934fd44bca51
SHA256: e14dfa516ad94b49a04424023c005ea9f22356177c5bd9c7033cd0f09175db5f
SHA512: 26522271795eb6a417f09277433702db7be57a5bec68cc910ad244744401086d21bd8fff98281411892955fdecf168b2cf2a01b5ab1d04c1c9a66d4ac148c760
Homepage: https://cran.r-project.org/package=shiny.i18n
Description: CRAN Package 'shiny.i18n' (Shiny Applications Internationalization)
 It provides easy internationalization of Shiny applications. It can be used
 as standalone translation package to translate reports, interactive
 visualizations or graphical elements as well.

Package: r-cran-shiny.info
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-git2r, r-cran-glue, r-cran-shiny
Suggests: r-cran-testthat, r-cran-lintr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shiny.info_0.2.0-1.ca2004.1_all.deb
Size: 107152
MD5sum: eb2f136e6f6739d37e81a2db004dcc11
SHA1: 64b4a270c9e97aa2689786b68de9484fe6a63ee2
SHA256: ccb546e6a1283c08647f2150474f73fa07c14cc559305621c2ccc90aa6a8c564
SHA512: 8eae75f4c3289eae4008ac766d8ac9553cd92efcacc196287d67c1bbb3da0c41364349e0ef04da8c2e10e6c2c3cb3ed7e3ebffeb4e069eb97b38871c472ec515
Homepage: https://cran.r-project.org/package=shiny.info
Description: CRAN Package 'shiny.info' ('shiny' Info)
 Displays simple diagnostic information of the 'shiny' project in the user
 interface of the app.

Package: r-cran-shiny.ollama
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-bslib, r-cran-httr, r-cran-jsonlite, r-cran-markdown, r-cran-mockery
Suggests: r-cran-testthat, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-shiny.ollama_0.1.1-1.ca2004.1_all.deb
Size: 29348
MD5sum: b819def3c500e058d79cc51920749c86
SHA1: c59b845f61317fb88f421de5edc0d444302c0fa9
SHA256: 3896440179a2ba89d4da05cc88a8cc82a687f656709c0aa980ff789fc66b8204
SHA512: 387dce28722e95c42344ecc028f96ea63fcc3e417bea415e3354e4b948e694541b1e701043b97978b6cb001425bc3ed49fea3fb6c56ce5260a515c1c436b358f
Homepage: https://cran.r-project.org/package=shiny.ollama
Description: CRAN Package 'shiny.ollama' (R 'shiny' Interface for Chatting with Large Language ModelsOffline on Local with 'ollama')
 Chat with large language models on your machine without internet with
 complete privacy via 'ollama', powered by R 'shiny' interface. For more
 information on 'ollama', visit <https://ollama.com>.

Package: r-cran-shiny.pwa
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-readr, r-cran-urltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shiny.pwa_0.2.1-1.ca2004.1_all.deb
Size: 309520
MD5sum: 5cf076d25ec7f4b968111cf21d8b1932
SHA1: 60a5e9b1a8deac2f26894061507ccc134424c009
SHA256: de77392689f776aa98361d9c91ddbc711d02ee788ba81186072c2db60d0f93f9
SHA512: 159f33303fdcb8e4039faf43f580ae0596732743a097c21c2eee6c98e785042c207a500f61150416bc6a2111eae9142620837e152603d92ae3b4b64332465120
Homepage: https://cran.r-project.org/package=shiny.pwa
Description: CRAN Package 'shiny.pwa' (Progressive Web App Support for Shiny)
 Adds Progressive Web App support for Shiny apps, including desktop and
 mobile installations.

Package: r-cran-shiny.react
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3349
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-htmltools, r-cran-jsonlite, r-cran-logger, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-stringi
Suggests: r-cran-chromote, r-cran-covr, r-cran-knitr, r-cran-leaflet, r-cran-lintr, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-shinytest2, r-cran-styler, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shiny.react_0.4.0-1.ca2004.1_all.deb
Size: 666988
MD5sum: df4d1856f56bc6bc8ea6d6f932964561
SHA1: 7a01eb86de41e294c621f24ee4cce564809fbd47
SHA256: 03bbbb81562aed92c8bc08ed26728c204fa7d15e899cf3270c67803f3ae945af
SHA512: a6d80f60d051202547c1a4b3ce3b576fd85c7ecf59e3a1c50fa7c93bbc03dae01ebf627d8e3f0b8349bfa36beb6a491d034d06e51b6fedbcdd238364893c9838
Homepage: https://cran.r-project.org/package=shiny.react
Description: CRAN Package 'shiny.react' (Tools for Using React in Shiny)
 A toolbox for defining React component wrappers which can be used seamlessly
 in Shiny apps.

Package: r-cran-shiny.reglog
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-dplyr, r-cran-lubridate, r-cran-lifecycle, r-cran-scrypt, r-cran-shinyjs, r-cran-stringi, r-cran-uuid
Suggests: r-cran-covr, r-cran-dbi, r-cran-dt, r-cran-devtools, r-cran-emayili, r-cran-gmailr, r-cran-googledrive, r-cran-googlesheets4, r-cran-jsonlite, r-cran-knitr, r-cran-mongolite, r-cran-rmarkdown, r-cran-rsqlite, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shiny.reglog_0.5.2-1.ca2004.1_all.deb
Size: 715584
MD5sum: 383d5f89e93b1cbad34ef0de0689c6b4
SHA1: 15ca08e25fd85f737d20066359458a42f04f01a6
SHA256: 791739ca2c2e34ba1570e74787a872cc67eacce334486bee9776cae4326c7d95
SHA512: 5cfe9a01f4bec70fedcaf72a1582a145626967991b298f16587a94506538592386ace9e7c8cf950ccc9a4bf6bf7e327f8ca76699a72ae910244336326b685e69
Homepage: https://cran.r-project.org/package=shiny.reglog
Description: CRAN Package 'shiny.reglog' (Optional Login and Registration Module System for ShinyApps)
 RegLog system provides a set of shiny modules to handle register procedure
 for your users, alongside with login, edit credentials and password reset
 functionality.  It provides support for popular SQL databases and optionally
 googlesheet-based database for easy setup. For email sending it provides
 support for 'emayili' and 'gmailr' backends. Architecture makes customizing
 usability pretty straightforward.  The authentication system created with
 shiny.reglog is designed to be optional: user don't need to be logged-in to
 access your application, but when logged-in the user data can be used to
 read from and write to relational databases.

Package: r-cran-shiny.router
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-glue, r-cran-rlang, r-cran-shiny
Suggests: r-cran-covr, r-cran-lintr, r-cran-rcmdcheck, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shiny.router_0.3.1-1.ca2004.1_all.deb
Size: 81680
MD5sum: 653cb56bdd2e8a0f80063183bfd37342
SHA1: 52ffeb3777d57d6616777a5c303dc2f7226bd14a
SHA256: e6b6e587097b1f03ee8b0f7a44aecce0d2e04753d933cbb9d3754c1cac9894d3
SHA512: 58323cc547d44c01ed1a3b0aeb524cad5ec05fc09080283dc362f3bd612a6cc096be4e8e222e64163cdfd23c34b070059669a527f90b212a29deb09345d54016
Homepage: https://cran.r-project.org/package=shiny.router
Description: CRAN Package 'shiny.router' (Basic Routing for Shiny Web Applications)
 It is a simple router for your Shiny apps.  The router allows you to create
 dynamic web applications with real-time User Interface and easily share url
 to pages within your Shiny apps.

Package: r-cran-shiny.semantic
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3213
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-semantic.assets, r-cran-shiny
Suggests: r-cran-covr, r-cran-chromote, r-cran-dplyr, r-cran-dt, r-cran-gapminder, r-cran-knitr, r-cran-leaflet, r-cran-lintr, r-cran-markdown, r-cran-mockery, r-cran-plotly, r-cran-rcmdcheck, r-cran-rmarkdown, r-cran-testthat, r-cran-shinytest2, r-cran-tibble, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shiny.semantic_0.5.1-1.ca2004.1_all.deb
Size: 2859196
MD5sum: 66d196b34aac4f20b50f7778b9464141
SHA1: 93f71b38dbc16fc2d4787ac35dc9037627e20b60
SHA256: 356b084d2083fbcf543d8a906460f3dea310ebc9a469c5719380aa206feeafd9
SHA512: 340dc8c5a40a5905459eb0e3d385a7284fe23b3d678f59cf2f20d4481cfcf5b7b72a6e591dee9ae29de532c09dc5f0402807d65a1a56dc6073bdd5a260592644
Homepage: https://cran.r-project.org/package=shiny.semantic
Description: CRAN Package 'shiny.semantic' (Semantic UI Support for Shiny)
 Creating a great user interface for your Shiny apps can be a hassle,
 especially if you want to work purely in R and don't want to use, for
 instance HTML templates. This package adds support for a powerful UI library
 Fomantic UI - <https://fomantic-ui.com/> (before Semantic). It also supports
 universal UI input binding that works with various DOM elements.

Package: r-cran-shiny.tailwind
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-fontawesome, r-cran-palmerpenguins, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-shiny.tailwind_0.2.2-1.ca2004.1_all.deb
Size: 173048
MD5sum: 11867e0c820759ec099656f9522fb4d9
SHA1: 1a3b868234e4c5b6bc61d18fa070c6e0c3af0432
SHA256: 0bc7d4e41256206b072ad27f6de46d5276a47013c17ed20cfbe20cc885e964db
SHA512: 44916419b94767c17105c1d1c9102e2d282d2ed3cd960bf964668a1b8c15640659648a501eb9f9863ff544ac86a7f6bf3b4fca271cd18b085b04f96b0a00b0b0
Homepage: https://cran.r-project.org/package=shiny.tailwind
Description: CRAN Package 'shiny.tailwind' ('TailwindCSS' for Shiny Apps)
 Allows 'TailwindCSS' to be used in Shiny apps with just-in-time compiling,
 custom css with '@apply' directive, and custom tailwind configurations.

Package: r-cran-shiny.telemetry
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2282
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-digest, r-cran-dplyr, r-cran-glue, r-cran-htmltools, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-logger, r-cran-lubridate, r-cran-odbc, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-rsqlite, r-cran-shiny, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-box, r-cran-config, r-cran-dt, r-cran-knitr, r-cran-mongolite, r-cran-plotly, r-cran-plumber, r-cran-rcolorbrewer, r-cran-rmariadb, r-cran-rmarkdown, r-cran-rpostgres, r-cran-rpostgresql, r-cran-scales, r-cran-semantic.dashboard, r-cran-shiny.semantic, r-cran-shinyjs, r-cran-testthat, r-cran-timevis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shiny.telemetry_0.3.1-1.ca2004.1_all.deb
Size: 1519728
MD5sum: 134aeb697a4dc82a588157062e2d8175
SHA1: 3552d3b8acd738f27f5b843d5689d551b3288021
SHA256: e02894e95fb6a3786c989af1a60699720681476a025d59c7b225b6d4bd64ff5f
SHA512: e24273a1717a9199f6001e9236f8cc26c9eb38ddf9df1d21fa6fed14e35742574c7f0bad55e29289418e241e2066a0944186236490b3581debbb1ac1e32b0f2d
Homepage: https://cran.r-project.org/package=shiny.telemetry
Description: CRAN Package 'shiny.telemetry' ('Shiny' App Usage Telemetry)
 Enables instrumentation of 'Shiny' apps for tracking user session events
 such as input changes, browser type, and session duration.  These events can
 be sent to any of the available storage backends and analyzed using the
 included 'Shiny' app to gain insights about app usage and adoption.

Package: r-cran-shiny.worker
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-future, r-cran-shiny, r-cran-r6
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shiny.worker_0.0.1-1.ca2004.1_all.deb
Size: 74512
MD5sum: 41b083111572a85ddde67e21fc1aff47
SHA1: fef571cb40e385951adb5908c099aa23c0772b08
SHA256: 583f80af6bd26c1ad52449a6b414c0705951591e4fcb23b7685aa9c0f9c4b3fd
SHA512: eb3b16c021cc802db12953e8fd9fd10efeaaeb8e3da0ac739f22758cd069fb657b1b159144cd88bfeef04d9bccc545912a97caaaaca1ecccf11a1de10e41d67a
Homepage: https://cran.r-project.org/package=shiny.worker
Description: CRAN Package 'shiny.worker' (Delegate Jobs for Shiny Web Applications)
 It allows you to delegate heavy computation tasks to a separate process,
 such that it does not freeze your Shiny app.

Package: r-cran-shiny2docker
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-attachment, r-cran-cli, r-cran-dockerfiler, r-cran-here, r-cran-yesno
Suggests: r-cran-shiny, r-cran-renv, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-shiny2docker_0.0.3-1.ca2004.1_all.deb
Size: 32116
MD5sum: d7b3dfb07c419f71b08e220fda810e2b
SHA1: 8a4c96c17b3e744f3488054bf4d389b89ba8d1e4
SHA256: 60b2a5cd708c114c009f1b6564f604c99fb14f83dbb82bdf7fa5ec21f54749e8
SHA512: 6e1476441aeaa13eabb46ba8ce0bfe7c08b962d66381ba87bceb985742bb3fe7a3aca40789f0076207c485789f8363d82286ef9fd297f01c329112c3464e77f7
Homepage: https://cran.r-project.org/package=shiny2docker
Description: CRAN Package 'shiny2docker' (Generate Dockerfiles for 'Shiny' Applications)
 Automates the creation of Dockerfiles for deploying 'Shiny' applications.
 By integrating with 'renv' for dependency management and leveraging
 Docker-based solutions, it simplifies the process of containerizing 'Shiny'
 apps, ensuring reproducibility and consistency across different
 environments.  Additionally, it facilitates the setup of CI/CD pipelines for
 building Docker images on both GitLab and GitHub.

Package: r-cran-shiny
Architecture: all
Version: 1.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9604
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httpuv, r-cran-mime, r-cran-jsonlite, r-cran-xtable, r-cran-fontawesome, r-cran-htmltools, r-cran-r6, r-cran-sourcetools, r-cran-later, r-cran-promises, r-cran-cli, r-cran-rlang, r-cran-fastmap, r-cran-withr, r-cran-commonmark, r-cran-glue, r-cran-bslib, r-cran-cachem, r-cran-lifecycle
Suggests: r-cran-coro, r-cran-dt, r-cran-cairo, r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-ggplot2, r-cran-reactlog, r-cran-magrittr, r-cran-yaml, r-cran-mirai, r-cran-future, r-cran-dygraphs, r-cran-ragg, r-cran-showtext, r-cran-sass, r-cran-watcher
Filename: pool/dists/focal/main/r-cran-shiny_1.11.0-1.ca2004.1_all.deb
Size: 3609396
MD5sum: 15c30c7a7cbcd95dce5434d632c5ea5c
SHA1: 097fefbb1b8a76aeaddbfc74d0c96d7ec75204c3
SHA256: e9d25e1e470888cbba0a06eede908c04ec8824c494cfa8d32b6023cda00099a7
SHA512: 5252204cf85c9648cf2abc5b10dad716ca12e5d4f509918aaab1e0635c609d6ade054f80313075f841b512cc24b58448be3d622b71c61cbc9a325304f7f5e5ca
Homepage: https://cran.r-project.org/package=shiny
Description: CRAN Package 'shiny' (Web Application Framework for R)
 Makes it incredibly easy to build interactive web applications with R.
 Automatic "reactive" binding between inputs and outputs and extensive
 prebuilt widgets make it possible to build beautiful, responsive, and
 powerful applications with minimal effort.

Package: r-cran-shinyace
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-shinyace_0.4.4-1.ca2004.1_all.deb
Size: 927068
MD5sum: 56a7b63ce2af92ab7a7a2edf579d4295
SHA1: 9134945e428354997854f119d8104530f8a0494a
SHA256: 4d57423ee9ec779350347ce79adc11b04e0bae70c69cf55b04bbc15479386250
SHA512: e5805d72618500c318349d5f80943b85979cb073f69532407f3c4d1c8fe2a1b8b006d509b8fcc436066fca00f5be880e31c79f97c180ac25dc95b7380e402484
Homepage: https://cran.r-project.org/package=shinyAce
Description: CRAN Package 'shinyAce' (Ace Editor Bindings for Shiny)
 Ace editor bindings to enable a rich text editing environment within Shiny.

Package: r-cran-shinyaframe
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-shinyaframe_1.0.1-1.ca2004.1_all.deb
Size: 359116
MD5sum: 236feb527e53fa1559bb826d3d4f9fa3
SHA1: 62fc7b37292705de6fd6ae4a19f2b71a1bfd2c51
SHA256: 2260a8c3d1b24ded3f0c37376aeb1858080a56e95a520fe4a1b7b96773ee4918
SHA512: db346066a1dc16f45f1eb35a94cd0eb3805727538877e0e13b68a28d59b62d53850893c9afc257c85c5bdc24f54253c2a98b3f347420035d6784f872cd9628d3
Homepage: https://cran.r-project.org/package=shinyaframe
Description: CRAN Package 'shinyaframe' ('WebVR' Data Visualizations with 'RStudio Shiny' and 'MozillaA-Frame')
 Make R data available in Web-based virtual reality experiences for
 immersive, cross-platform data visualizations. Includes the 'gg-aframe'
 JavaScript package for a Grammar of Graphics declarative HTML syntax to
 create 3-dimensional data visualizations with 'Mozilla A-Frame'
 <https://aframe.io>.

Package: r-cran-shinyalert
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-uuid
Suggests: r-cran-colourpicker, r-cran-shinydisconnect
Filename: pool/dists/focal/main/r-cran-shinyalert_3.1.0-1.ca2004.1_all.deb
Size: 433764
MD5sum: 5656b7fae6a528098cf6d8e50b45454e
SHA1: 4431aa94af82f7753685020f2bfebd9ae0b3af57
SHA256: 7e0337e20103a3b9d01cb44adce808ece8c7fa9a70ed1de18ff28ae7f791966e
SHA512: 74083903e327dc7a3920364917aec9ea3b3149443518ac76e9c38ccd0edfe5f23069a7fb2fd79c2023d2b8319502711d8182e934f96a3c0ccc5b8e77f154aa8f
Homepage: https://cran.r-project.org/package=shinyalert
Description: CRAN Package 'shinyalert' (Easily Create Pretty Popup Messages (Modals) in 'Shiny')
 Easily create pretty popup messages (modals) in 'Shiny'. A modal can contain
 text, images, OK/Cancel buttons, an input to get a response from the user,
 and many more customizable options.

Package: r-cran-shinyanimate
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 524
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinyanimate_0.4.0-1.ca2004.1_all.deb
Size: 382900
MD5sum: e5fd1367ad29971239f2859d9812aef1
SHA1: 3fab153c6b76e07f6a93919dbaa06f6d189450a3
SHA256: 4efcc4c2df4f368b20c3a94506e379c79af2e6be84d3c5a3c33f67529f448e64
SHA512: 48eee49376938a96a375761a9fecb5f936c7e4be59d53c2d9957320d4c4d88dcef965b5b2b35e57a4dd34b31ae6cd5a90eeb8d81360e10f36c9388f4bd889593
Homepage: https://cran.r-project.org/package=shinyanimate
Description: CRAN Package 'shinyanimate' (Animation for 'shiny' Elements)
 An extension of 'animate.css' that allows user to easily add animations to
 any UI element in 'shiny' app using the elements id.

Package: r-cran-shinyauthr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-dplyr, r-cran-rlang, r-cran-sodium, r-cran-glue
Suggests: r-cran-dbi, r-cran-rsqlite, r-cran-lubridate, r-cran-shinydashboard, r-cran-testthat, r-cran-shinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinyauthr_1.0.0-1.ca2004.1_all.deb
Size: 54412
MD5sum: fe87f7c7be9220d1230dc3dc6f381bc2
SHA1: 913f6bf3973f80090464d9a69aa3e6597e25ff39
SHA256: 55a2cc99feb6c1a268ed0393a296f2d6da34fcf98c3e2e06eac5b55d30e154a7
SHA512: 8ab3d743c3798611115a802c6a644fb1c8c15c9e41f115064ae32dcadacd051aa4a4296c510d96894faab60d43f2c4b5374ad98e1862ebc1328f5dcfd4417fa3
Homepage: https://cran.r-project.org/package=shinyauthr
Description: CRAN Package 'shinyauthr' ('Shiny' Authentication Modules)
 Add in-app user authentication to 'shiny', allowing you to secure publicly
 hosted apps and build dynamic user interfaces from user information.

Package: r-cran-shinybody
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-crosstalk
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinybody_0.1.3-1.ca2004.1_all.deb
Size: 458432
MD5sum: 27b81665cf3d2dab9f383fac19a8bbb1
SHA1: bdd0734847f30802bce6327fabec43fa19546439
SHA256: b42a2169e032fca60b8479be0edacee40e120e84481e10ca374519e0d049d121
SHA512: 239870bc91f7a13fcb6608d3f76ea0d37322b4ef51b671c0100fe8f8820c26da55757fe0d49b8fdeb238aeaea53113c3c742fcfa4a018833f04332e07b9567f6
Homepage: https://cran.r-project.org/package=shinybody
Description: CRAN Package 'shinybody' (An Interactive Anatomography Widget for 'shiny')
 An 'htmlwidget' of the human body that allows you to hide/show and assign
 colors to 79 different body parts. The 'human' widget is an 'htmlwidget', so
 it works in Quarto documents, R Markdown documents, or any other HTML
 medium.  It also functions as an input/output widget in a 'shiny' app.

Package: r-cran-shinybootstrap2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 819
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinybootstrap2_0.2.1-1.ca2004.1_all.deb
Size: 275676
MD5sum: 5dfdb424c733bb62f423faf26a7cabbe
SHA1: 0de32d51ab397384e2a8ad1a507d81d593687e64
SHA256: e7a72097e85cfdf05e6170d93e5e9eccf2f13fe3917b77e69551979c8e399b7d
SHA512: 11f983689d9695ea697ade96e60df2ab44d4f774abe2127ae468cb6a247ff29885e2b0fe5431c66e91a79a1fc1102048e058146506f399bd488e8fa23fa73232
Homepage: https://cran.r-project.org/package=shinybootstrap2
Description: CRAN Package 'shinybootstrap2' (Bootstrap 2 Web Components for Use with Shiny)
 Provides Bootstrap 2 web components for use with the Shiny package. With
 versions of Shiny prior to 0.11, these Bootstrap 2 components were included
 as part of the package. Later versions of Shiny include Bootstrap 3, so the
 Bootstrap 2 components have been moved into this package for those uses who
 rely on features specific to Bootstrap 2.

Package: r-cran-shinybrms
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1190
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-brms, r-cran-rstan, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-shinystan, r-cran-callr, r-cran-rstanarm, r-cran-mass, r-cran-lme4, r-cran-testthat, r-cran-shinytest
Filename: pool/dists/focal/main/r-cran-shinybrms_1.8.0-1.ca2004.1_all.deb
Size: 117976
MD5sum: 0f050f8867c57b76bf89e8becf5ce298
SHA1: b0f2c49afc7e62aa442c7dc724137d187712ef69
SHA256: ef994dca9ee57da1493b0c8a4c27982bf3fce8947698eaad0ec78d4dc3208291
SHA512: cd82b7f9303caf16bbc5a665777dedf8f07528362548c3ea8646c83d9746c4448ca1956e0d5f6e67d8531634dc72d3a51d054716a192f7d132e5657494b58bdf
Homepage: https://cran.r-project.org/package=shinybrms
Description: CRAN Package 'shinybrms' (Graphical User Interface ('shiny' App) for 'brms')
 A graphical user interface (GUI) for fitting Bayesian regression models
 using the package 'brms' which in turn relies on 'Stan'
 (<https://mc-stan.org/>). The 'shinybrms' GUI is a 'shiny' app.

Package: r-cran-shinybrowser
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-shinydisconnect
Filename: pool/dists/focal/main/r-cran-shinybrowser_1.0.0-1.ca2004.1_all.deb
Size: 69332
MD5sum: b4d12041e4af85c798f9bff2a6aa9a3a
SHA1: d58a078f5b40c9f63cb358550558c514e0e2d500
SHA256: c4eb3d8a48949bcfcaf29084f874669201854263fe2c116a7270384387f5cc69
SHA512: 71f0e0def26dbc1a5ed863f56a8e631cc5122e4cabd14aa4275a50f6e0bc53b623747ea178504f350174ba07c0c2a4dc6cdc285d948aabf4485e593a1779a14f
Homepage: https://cran.r-project.org/package=shinybrowser
Description: CRAN Package 'shinybrowser' (Find Out Information About a User's Web Browser in 'Shiny')
 Sometimes it's useful to know some information about your user in a 'Shiny'
 app. The available information is: browser name (such as 'Chrome' or
 'Safari') and version, device type (mobile or desktop), operating system
 (such as 'Windows' or 'Mac' or 'Android') and version, and browser
 dimensions.

Package: r-cran-shinybs
Architecture: all
Version: 0.61.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-shinybs_0.61.1-1.ca2004.1_all.deb
Size: 102708
MD5sum: 08e6335c279f002a768f3d1a3784fec8
SHA1: c5b1611af0c6c92c0080a6c55e95745d864c5282
SHA256: 9f1aa9248cedd5c87729ef647e49a439fdb8031aa12646d3deaafaa82e333dd9
SHA512: 9057a8cc4bf167add82c7eb7f0bf9b547530290b48d2b91bf038af1c378b1f02c5548d453c2cc7a4f0ffc347800242c4340693f0eb0c07540fccc143a167a7ad
Homepage: https://cran.r-project.org/package=shinyBS
Description: CRAN Package 'shinyBS' (Twitter Bootstrap Components for Shiny)
 Adds additional Twitter Bootstrap components to Shiny.

Package: r-cran-shinybusy
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1300
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-jsonlite, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinybusy_0.3.3-1.ca2004.1_all.deb
Size: 537628
MD5sum: f4bf00c19b8cacb65ef2d693147e0cf4
SHA1: adcabdfe956e9cecea4830a27dd7e397c5616d5d
SHA256: 493f5d1fbb0be5e40c7134724b758979c764791de9fcc1deccdefacaf3a00572
SHA512: 0605150e7d20c87d3cc7945e0f99183121cbb421d2df00474ad15bf0c9f6266636cb962c86d9fde1a54e9fe5e0c17f93f17579a74665ad15ff088778eac3ad20
Homepage: https://cran.r-project.org/package=shinybusy
Description: CRAN Package 'shinybusy' (Busy Indicators and Notifications for 'Shiny' Applications)
 Add indicators (spinner, progress bar, gif) in your 'shiny' applications to
 show the user that the server is busy. And other tools to let your users
 know something is happening (send notifications, reports, ...).

Package: r-cran-shinychakraslider
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9672
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-reactr
Filename: pool/dists/focal/main/r-cran-shinychakraslider_0.1.0-1.ca2004.1_all.deb
Size: 1223856
MD5sum: bd9e53f7bb66cea901fd6cf550319690
SHA1: 18cd11d899be745a978a75f3b7017420b578d7e4
SHA256: 7cc037a0387c1eff2c6a557d9357103d0a88a22836bb0ab34893b48a39161b70
SHA512: 99fcee52f468a3222de19ee92742a970e11388931eee314bf1b03b3e58ba65dfa67205e57806350bc0cbfbed10cef24e6d1930d7883e97b607b3ccb7f2ebb5b7
Homepage: https://cran.r-project.org/package=shinyChakraSlider
Description: CRAN Package 'shinyChakraSlider' (Combined Slider and Numeric Input for 'Shiny')
 Provides a combined slider and numeric input for usage in a 'Shiny' app. The
 slider and the numeric input are linked together: each one is updated when
 the other one changes. Many styling properties are customizable (e.g. colors
 and size).

Package: r-cran-shinychakraui
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 20895
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-reactr, r-cran-shiny, r-cran-jsonlite, r-cran-rlang, r-cran-stringr, r-cran-formatr, r-cran-fontawesome
Suggests: r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-shinychakraui_1.1.1-1.ca2004.1_all.deb
Size: 3674328
MD5sum: 78fd2b5bad57fc328f34d2133c8845d9
SHA1: d0f7079092a8924395ed108350780c5b57342076
SHA256: b328f4c8dae7734fa0e1e7a104307bafaa3b76b6c3aeef5ed2107e6e45be63e0
SHA512: 46fa90aaa433f0eff420ebae16465d48bd83e20f6154481593ab4a212b198ed41fc0cefabc8efa9a23a6d1867e64da9e6aca3955c9efb1671f0b4b95f2ab7ca7
Homepage: https://cran.r-project.org/package=shinyChakraUI
Description: CRAN Package 'shinyChakraUI' (A Wrapper of the 'React' Library 'Chakra UI' for 'Shiny')
 Makes the 'React' library 'Chakra UI' usable in 'Shiny' apps. 'Chakra UI'
 components include alert dialogs, drawers (sliding panels), menus, modals,
 popovers, sliders, and more.

Package: r-cran-shinychat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1795
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bslib, r-cran-coro, r-cran-ellmer, r-cran-fastmap, r-cran-htmltools, r-cran-jsonlite, r-cran-promises, r-cran-rlang, r-cran-shiny
Suggests: r-cran-later, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinychat_0.2.0-1.ca2004.1_all.deb
Size: 365756
MD5sum: c42adf454ea32dfeb2cb995e1beda611
SHA1: 436161c0bedcadf5ace865feeb6d7fe7e9b01a31
SHA256: c2a35a72116c7f6783e3674e4a8a35691ba84b659bcf16f195acf0e43b43ee27
SHA512: 9440b1c8d599a9b25955fc4afa7af598dd099fda6fff78e30bfc3f6d7e0d07eb3faebfbb9b8fddb167663da5ab6b21dc57b34aecc8e294467b3e9f801bfd12f1
Homepage: https://cran.r-project.org/package=shinychat
Description: CRAN Package 'shinychat' (Chat UI Component for 'shiny')
 Provides a scrolling chat interface with multiline input, suitable for
 creating chatbot apps based on Large Language Models (LLMs). Designed to
 work particularly well with the 'ellmer' R package for calling LLMs.

Package: r-cran-shinychatr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-purrr, r-cran-r6, r-cran-shiny
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinychatr_1.2.0-1.ca2004.1_all.deb
Size: 129404
MD5sum: 87eff89366f28ea2d10852dfe0f27e68
SHA1: 4b62df3260a073ed32b94baed5f6f04b661bfe4c
SHA256: e10dbf1415fbc91b898b3fdc3aefe8e2d298f72c115d5a5a9aa95ab306db7a94
SHA512: 0acc8cb06e4a28c005c0c7c0d09f622c3821a89c12e8f638a6778a701e93c49b63b7ab71a1a1ccb2140aa9e5c5036b821715e0c682b86ca67c18c896fec84174
Homepage: https://cran.r-project.org/package=shinyChatR
Description: CRAN Package 'shinyChatR' (R Shiny Chat Module)
 Provides an easy-to-use module for adding a chat to a Shiny app. Allows
 users to send messages and view messages from other users.  Messages can be
 stored in a database or a .rds file.

Package: r-cran-shinyclt
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-testthat, r-cran-purrr, r-cran-shiny, r-cran-gamlss, r-cran-dplyr, r-cran-plotly, r-cran-future, r-cran-shinycssloaders, r-cran-waiter, r-cran-shinythemes, r-cran-shinywidgets, r-cran-cachem, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-shinyclt_0.9.4-1.ca2004.1_all.deb
Size: 40408
MD5sum: 16837fb63ed498e38d7357a6fbb884b7
SHA1: 1c4eba7d20b436dc251dbf4f7f02276c72a7cc60
SHA256: 84900747c92bf1ba234256caba1d9fa7db0229a13e26ccc28aa50e35ccd7cd70
SHA512: 17c126696db7880ef345df741c8fa9492fc9e8e7d687ae7550bdbf7e68e5323308986e8e1c3cebcc7f531dd8748064243c95da6d612d5886d04e385e2eb71b31
Homepage: https://cran.r-project.org/package=shinyCLT
Description: CRAN Package 'shinyCLT' (Central Limit Theorem 'shiny' Application)
 A 'shiny' application estimating the operating characteristics of the
 Student's t-test by Student (1908) <doi:10.1093/biomet/6.1.1>, Welch's
 t-test by Welch (1947) <doi:10.1093/biomet/34.1-2.28>, and Wilcoxon test by
 Wilcoxon (1945) <doi:10.2307/3001968> in one-sample or two-sample cases, in
 settings defined by the user (conditional distribution, sample size per
 group, location parameter per group, nuisance parameter per group), using
 Monte Carlo simulations Malvin H. Kalos, Paula A. Whitlock (2008)
 <doi:10.1002/9783527626212>.

Package: r-cran-shinycohortbuilder
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2914
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-glue, r-cran-bslib, r-cran-jsonlite, r-cran-purrr, r-cran-ggplot2, r-cran-ggiraph, r-cran-htmltools, r-cran-shiny, r-cran-shinywidgets, r-cran-htmlwidgets, r-cran-dplyr, r-cran-cohortbuilder, r-cran-trycatchlog, r-cran-highr, r-cran-shinygizmo, r-cran-rlang, r-cran-tibble, r-cran-lifecycle
Suggests: r-cran-querybuilder, r-cran-shinyquerybuilder, r-cran-pkgload, r-cran-packer, r-cran-sass, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinycohortbuilder_0.3.1-1.ca2004.1_all.deb
Size: 1815944
MD5sum: c08948bfa4cdea377b64878c0519e265
SHA1: 449c1214f8f43dce5b73d33d3ef27dd3f74c31ae
SHA256: e395a560a283243da27a2911e29ff0e394cca42ba072f31b9b8d580ad61fd5a5
SHA512: f960787c1ff45cc23c116765544583d8a1a65f798c99eaf08f177e0b90066c213127c339f6fea3e200470cf845794a75b1518597456fa28b074df6bbcc1df37e
Homepage: https://cran.r-project.org/package=shinyCohortBuilder
Description: CRAN Package 'shinyCohortBuilder' (Modular Cohort-Building Framework for Analytical Dashboards)
 You can easily add advanced cohort-building component to your analytical
 dashboard or simple 'Shiny' app.  Then you can instantly start building
 cohorts using multiple filters of different types, filtering datasets, and
 filtering steps.  Filters can be complex and data-specific, and together
 with multiple filtering steps you can use complex filtering rules.  The
 cohort-building sidebar panel allows you to easily work with filters, add
 and remove filtering steps.  It helps you with handling missing values
 during filtering, and provides instant filtering feedback with filter
 feedback plots.  The GUI panel is not only compatible with native shiny
 bookmarking, but also provides reproducible R code.

Package: r-cran-shinycox
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-survival
Suggests: r-cran-dt, r-cran-knitr, r-cran-rmarkdown, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-shinycox_1.1.3-1.ca2004.1_all.deb
Size: 112148
MD5sum: e44e73c01d17c37c814c111c21ab209d
SHA1: 68521830734f262cfc055fcb2fe308516fd8ca73
SHA256: 908a4361aa4a0b11df57475e95245d35d06a339d643bfd132c0daf615de07bec
SHA512: 3381f6828018cf6a171bc9454462ff4aa686a58107b120adc85ba2581c0a8716617f3cb70301cda9150fe5516e5e17f520aae6b4e105e3778cfe208c096a7a8b
Homepage: https://cran.r-project.org/package=shinyCox
Description: CRAN Package 'shinyCox' (Create 'shiny' Applications for Cox Proportional Hazards Models)
 Takes one or more fitted Cox proportional hazards models and writes a
 'shiny' application to a directory specified by the user. The 'shiny'
 application displays predicted survival curves based on user input, and
 contains none of the original data used to create the Cox model or models.
 The goal is towards visualization and presentation of predicted survival
 curves.

Package: r-cran-shinycroneditor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinycroneditor_1.0.0-1.ca2004.1_all.deb
Size: 33904
MD5sum: 4a633a79b51581f3f47de5d4872c8052
SHA1: 3426e59ef42a7dd5e9363ec3a0357cf29b714f0f
SHA256: 73650058d790a5028ad1702cc18f7b7e4631c930d4bc6b61059b88599bb4fda3
SHA512: 6b18738789abbf35496db723b72271a99a456d2b0b4c002785f2d23c02e8ad25d0d503e1cba76aa503031c368ddfa286135acdbd8fefdde5dd498f30db6ee53b
Homepage: https://cran.r-project.org/package=shinycroneditor
Description: CRAN Package 'shinycroneditor' ('shiny' Cron Expression Input Widget)
 A widget for 'shiny' apps to handle schedule expression input, using the
 'cron-expression-input' JavaScript component. Note that this does not edit
 the 'crontab' file, it is just an input element for the schedules. See
 <https://github.com/DatalabFabriek/shinycroneditor/blob/main/inst/examples/shiny-app.R>
 for an example implementation.

Package: r-cran-shinycssloaders
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-glue, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-knitr, r-cran-shinydisconnect, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-shinycssloaders_1.1.0-1.ca2004.1_all.deb
Size: 332664
MD5sum: cfcd2cdf4688dc313605b5f3c4170ddc
SHA1: fb169bba906c24ede5ef6737cb0527ad78f48e9d
SHA256: eac39e7d090eea650392b09576a17de39b6aa794dc490a369c1f345b202f4d47
SHA512: 32f1dd924a6e7519e6acf406263fc6632c43e53f15f2d7002d51d783ea247071b5102aa25aa484e56b323eed4fa464fc2d08c80bc1fb9452755d402e6df4ebfe
Homepage: https://cran.r-project.org/package=shinycssloaders
Description: CRAN Package 'shinycssloaders' (Add Loading Animations to a 'shiny' Output While It'sRecalculating)
 When a 'Shiny' output (such as a plot, table, map, etc.) is recalculating,
 it remains visible but gets greyed out. Using 'shinycssloaders', you can add
 a loading animation ("spinner") to outputs instead. By wrapping a 'Shiny'
 output in 'withSpinner()', a spinner will automatically appear while the
 output is recalculating. You can also manually show and hide the spinner, or
 add a full-page spinner to cover the entire page.  See the demo online at
 <https://daattali.com/shiny/shinycssloaders-demo/>.

Package: r-cran-shinycustomloader
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-shiny
Suggests: r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-shinycustomloader_0.9.0-1.ca2004.1_all.deb
Size: 30132
MD5sum: eee1611e4b51376e81dbd7b765edfdad
SHA1: 1e307d753fe09a3ceb799ce127ccee5048e2e27f
SHA256: 007174f30ead125a66b9af9110b143dd733a9211fb244602b100ac1576315f8b
SHA512: b58b9a3842ef3c3745668308b8ea6fe14722f7b0309c16053a00658c23b30c0712ceed3dcffe9b1918840866885fb5bc540157a6b9dcb9c88b9a449a3e83f492
Homepage: https://cran.r-project.org/package=shinycustomloader
Description: CRAN Package 'shinycustomloader' (Custom Loader for Shiny Outputs)
 A custom css/html or gif/image file for the loading screen in R 'shiny'. It
 also can use the marquee to have custom text loading screen.

Package: r-cran-shinycyjs
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2364
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinycyjs_1.0.0-1.ca2004.1_all.deb
Size: 485408
MD5sum: 9130c61d8ed2d6b5d396680b5798d846
SHA1: 92a9e1978b0ede9c60fdbe8719e475227a481a3e
SHA256: 9487d8ab62cfac9d207728b2d9c4204c77501396034c7d897fd8e79348881913
SHA512: 25166cd5b3c731e82fe0788b7cfcabeb0a6dc660584db5a9d430adc9c79b4ecefb93de05d11699006832e7ac3beddb4a63b8178d036f684b4fb30febda1bdda6
Homepage: https://cran.r-project.org/package=shinyCyJS
Description: CRAN Package 'shinyCyJS' (Create Interactive Network Visualizations in R and 'shiny')
 Create Interactive Graph (Network) Visualizations.  'shinyCyJS' can be used
 in 'Shiny' apps or viewed from 'Rstudio' Viewer.  'shinyCyJS' includes API
 to build Graph model like node or edge with customized attributes for R.
 'shinyCyJS' is built with 'cytoscape.js' and 'htmlwidgets' R package.

Package: r-cran-shinydashboard
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 866
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-promises, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinydashboard_0.7.3-1.ca2004.1_all.deb
Size: 264120
MD5sum: 2e1046c4ceef6a5e82623a8d61829ead
SHA1: c1156ae1561495a39da9d588e3bb25d1104ce476
SHA256: 37b041d4f54005780a494d9b1e27e83760657a6ed50ca331014cb8db07b4d393
SHA512: d21d899fe66e35d9a1344d1eed2cde500170fae146b28a6ebb94d21b570977c976018b5f1fdd7408e050a35d97bb2a88fbff541b8757f14d377cc098e15aeced
Homepage: https://cran.r-project.org/package=shinydashboard
Description: CRAN Package 'shinydashboard' (Create Dashboards with 'Shiny')
 Create dashboards with 'Shiny'. This package provides a theme on top of
 'Shiny', making it easy to create attractive dashboards.

Package: r-cran-shinydashboardplus
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2795
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-shinydashboard, r-cran-fresh, r-cran-waiter, r-cran-lifecycle
Suggests: r-cran-styler, r-cran-shinyace, r-cran-shinywidgets, r-cran-shinyeffects, r-cran-shinyjqui, r-cran-knitr, r-cran-rmarkdown, r-cran-jsonlite, r-cran-bslib
Filename: pool/dists/focal/main/r-cran-shinydashboardplus_2.0.5-1.ca2004.1_all.deb
Size: 843208
MD5sum: f8e08dc8e797db40f2bfd01d597d4aee
SHA1: 3f860a5061be7675a7c6735f03624a8d2b91b9eb
SHA256: fc4af77a7ff2ed46da9623ecf06de1d3b77caa5e3a89855d4872d4c367571b82
SHA512: 2ac5fc7ec432464430f7d6b5b6b3d16d4b2a0025f7ec1db4f102a8d252a91490cd246e62fe4106feff2582a3acdcf0a86b64eb2fd28ed8b1940a5cf7704bf3a8
Homepage: https://cran.r-project.org/package=shinydashboardPlus
Description: CRAN Package 'shinydashboardPlus' (Add More 'AdminLTE2' Components to 'shinydashboard')
 Extend 'shinydashboard' with 'AdminLTE2' components.  'AdminLTE2' is a free
 'Bootstrap 3' dashboard template available at <https://adminlte.io>.
 Customize boxes, add timelines and a lot more.

Package: r-cran-shinydatetimepickers
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7835
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-lubridate, r-cran-reactr, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinydatetimepickers_1.2.0-1.ca2004.1_all.deb
Size: 859092
MD5sum: 7a9c6b78fd2dd9c6583f8f235a34a5d4
SHA1: df685ef48a0f07fac5f1523ad934e8a7fb3dc023
SHA256: aef88f53a7e77277092fe25e92f6e16f17a0b4321418ecc8a3bd05c99204cd0f
SHA512: c3e33fb64c846132a1ab484c859783b94a195300a12790f75493038390e2f7306307e964929e95438786ce98e003405e7b038df810315e5dcfdd12b365070beb
Homepage: https://cran.r-project.org/package=shinyDatetimePickers
Description: CRAN Package 'shinyDatetimePickers' (Some Datetime Pickers for 'Shiny')
 Provides three types of datetime pickers for usage in a 'Shiny' UI. A
 datetime picker is an input field for selecting both a date and a time.

Package: r-cran-shinydbauth
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-htmltools, r-cran-dt, r-cran-openssl, r-cran-r.utils, r-cran-billboarder, r-cran-scrypt, r-cran-yaml, r-cran-glue
Suggests: r-cran-keyring, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinydbauth_1.0.0.1-1.ca2004.1_all.deb
Size: 213524
MD5sum: 7f184fc68efc19e97f82989e91179c73
SHA1: 6b4119aa9f9afc8a11b240b6b9ae59772ceac6b4
SHA256: 87532efc359aed8e0318cb53c7f29abbe78cfce29ecf4d1c4b5aa0e0b46c686a
SHA512: ed07896485a5657587177f35826fd65ec8ca5aefe95dba525709c2ff04e9f084c3af39dee36d86188221ebdf831c3cc34173349ead51266f48939dbd6207daaf
Homepage: https://cran.r-project.org/package=shinydbauth
Description: CRAN Package 'shinydbauth' (Simple Authentification for 'shiny' Applications)
 Provides a simple authentification mechanism for single 'shiny'
 applications.  Authentification and password change functionality are
 performed calling user provided functions that typically access some
 database backend.  Source code of main applications is protected until
 authentication is successful.

Package: r-cran-shinydisconnect
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-glue, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-colourpicker
Filename: pool/dists/focal/main/r-cran-shinydisconnect_0.1.1-1.ca2004.1_all.deb
Size: 245116
MD5sum: 39f8a60ab3a047c5a0153bfcc82d6f07
SHA1: 7c26bffb15ad27e484b68fb1fc0e9105f0d888db
SHA256: b738619cf15e32e909f920b2781eda96cbbd0a2bdc75df3e5b2531a865121c89
SHA512: d35c8092c9756044bef91f9f73b2864db8c5fa8dc68e829257f840453f95464ecf5ff5dc93402e6241b775303b893d99e1096974e095518e1ff4ed7c3c6dd11d
Homepage: https://cran.r-project.org/package=shinydisconnect
Description: CRAN Package 'shinydisconnect' (Show a Nice Message When a 'Shiny' App Disconnects or Errors)
 A 'Shiny' app can disconnect for a variety of reasons: an unrecoverable
 error occurred in the app, the server went down, the user lost internet
 connection, or any other reason that might cause the 'Shiny' app to lose
 connection to its server. With 'shinydisconnect', you can call
 disonnectMessage() anywhere in a Shiny app's UI to add a nice message when
 this happens.  Works locally (running Shiny apps within 'RStudio') and on
 Shiny servers (such as shinyapps.io, 'RStudio Connect', 'Shiny Server Open
 Source', 'Shiny Server Pro'). See demo online at
 <https://daattali.com/shiny/shinydisconnect-demo/>.

Package: r-cran-shinydlplot
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shinybs, r-cran-shiny, r-cran-shinyjs, r-cran-plotly, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-shinydlplot_0.1.4-1.ca2004.1_all.deb
Size: 31720
MD5sum: 585ccdfea03cd04a6093bc78bdb9ce37
SHA1: 13389d833c7ac6903a438bb16c8920cb4c452ac8
SHA256: d0e63d8291955bc2d3b3fcf0585471ac0b9155fa7dde9a1d6bb3565f68b6a8a7
SHA512: 2e3ee77ffec6a1a90b966a4194810435b256d945d07b33033c77c2e96e9fa1de95098da83cbbfe7e2082d20e8c840d3fded7cbce849b81aac427c6e709b14eaa
Homepage: https://cran.r-project.org/package=shinydlplot
Description: CRAN Package 'shinydlplot' (Add a Download Button to a 'shiny' Plot or 'plotly')
 Add a download button to a 'shiny' plot or 'plotly' that appears when the
 plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is
 displayed on hover of the download button. The download button can be used
 to allow users to download the dataset used for a plot.

Package: r-cran-shinydnd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-shinydnd_0.1.0-1.ca2004.1_all.deb
Size: 20484
MD5sum: cf0a399732ec4ca8217e7bf1eb0f0684
SHA1: a85738ef3280954d5ff2bfe386c8c5b0004cf919
SHA256: a8e67234a386346565e3266c469644e595ed2b30dd1a12982234f4d639b66d9e
SHA512: 0f7a600854c7f9decb237db00f7106013823bd404fbefd0479dfdca06ddc69a11132b40ca29e026de52d2b4d1e30cd0a60369cf9f71b1f20b9fc72d5aecff023
Homepage: https://cran.r-project.org/package=shinyDND
Description: CRAN Package 'shinyDND' (Shiny Drag-n-Drop)
 Add functionality to create drag and drop div elements in shiny.

Package: r-cran-shinydrive
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2356
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-yaml, r-cran-dt, r-cran-r.utils, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinydrive_0.1.3-1.ca2004.1_all.deb
Size: 1562192
MD5sum: 30e2fb48f66799b99433435b85e9fe5e
SHA1: e6d509f2b0b9f9f3a68fe1a39fc052930b49c993
SHA256: 16261ad85922aeff84b85b7f0f650daf2341e84e9dd432b94ad2c877b592ede8
SHA512: 97e77252d546d8e06a445270daa4db66d9608989b915c51dd0b52614a74b8125c7bc323530db18727f5469649fa3fcb51cddc04b06226e83e9ae935692b6d787
Homepage: https://cran.r-project.org/package=shinydrive
Description: CRAN Package 'shinydrive' (File Sharing Shiny Module)
 Shiny module for easily sharing files between users. Admin can add, remove,
 edit and download file.  User can only download file. It's also possible to
 manage files using R functions directly.

Package: r-cran-shinydtc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-shinydtc_0.1.0-1.ca2004.1_all.deb
Size: 38100
MD5sum: 8df3df24da4a5fd82a410bae3de5aff0
SHA1: 3bd9eaf724cad8e11805d71252eb0f972982d676
SHA256: eb4e076355703af3fc50a421df1da5391b9af56afd1c7d07185dbdeca1b5fc17
SHA512: 836d416b246219d6e5ea3992468711a76489d4fd44a5fdbcd032ac864de8807c769fb11d6e5dd5c7f5a2cf7960c2416a05c426c48e8eea73f5c37181e8eeddc8
Homepage: https://cran.r-project.org/package=shinyDTC
Description: CRAN Package 'shinyDTC' (Simple Dynamic Timer Control)
 A dynamic timer control (DTC) is a 'shiny' widget that enables time-based
 processes in applications. It allows users to execute these processes
 manually in individual steps or at customizable speeds. The timer can be
 paused, resumed, or restarted. This control is particularly well-suited for
 simulations, animations, countdowns, or interactive visualizations.

Package: r-cran-shinyeffects
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-bs4dash, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-shinyeffects_0.2.0-1.ca2004.1_all.deb
Size: 121076
MD5sum: 8dce659328f4d1030dc3a1723e38c88c
SHA1: 5a033f00625e84212982cf0544a8ae77fc70c74a
SHA256: ccc8b57f42d5ae8e56007c8f1619a6c55a27cc885aff1dc60831ce57c411fd46
SHA512: f3bb8db156e52f7eb7dedb7096c0d57bfcb51b56d885303ce1a5e532d347abf689f8330431e1cc5ff48b20e87b39b52c5b339e406b972a9551aac8fe9ecd9ef2
Homepage: https://cran.r-project.org/package=shinyEffects
Description: CRAN Package 'shinyEffects' (Customize Your Web Apps with Fancy Effects)
 Add fancy CSS effects to your 'shinydashboards' or 'shiny' apps.  100%
 compatible with 'shinydashboardPlus' and 'bs4Dash'.

Package: r-cran-shinyexprportal
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4038
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-shiny, r-cran-htmltools, r-cran-markdown, r-cran-cli, r-cran-dplyr, r-cran-tidyr, r-cran-yaml, r-cran-data.table, r-cran-bslib, r-cran-iheatmapr, r-cran-vegawidget, r-cran-dt, r-bioc-qvalue, r-cran-rfast, r-cran-rlang, r-cran-shinyhelper
Suggests: r-cran-testthat, r-cran-whisker, r-cran-knitr, r-cran-rmarkdown, r-cran-r2d3, r-cran-kableextra, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-shinyexprportal_1.2.1-1.ca2004.1_all.deb
Size: 2905592
MD5sum: e0bcff67da83b26ef998b696359968d4
SHA1: 128bd7534ecfc1d52dc2c8b4a593db2ced7774e8
SHA256: 0a4c46562ea718e41254702a8654c962fff1537ac1483c976136b3dea50fc878
SHA512: 6d89962673cd901b8e742ab166867f3ab2ea81ffc69f17deb428789ea814ca397ed6b5b7da43e62f5d15ea5247c5abb41432fd381765913fa74cf0fccf34d73a
Homepage: https://cran.r-project.org/package=shinyExprPortal
Description: CRAN Package 'shinyExprPortal' (A Configurable 'shiny' Portal for Sharing Analysis of MolecularExpression Data)
 Enables deploying configuration file-based 'shiny' apps with minimal
 programming for interactive exploration and analysis showcase of molecular
 expression data. For exploration, supports visualization of correlations
 between rows of an expression matrix and a table of observations, such as
 clinical measures, and comparison of changes in expression over time. For
 showcase, enables visualizing the results of differential expression from
 package such as 'limma', co-expression modules from 'WGCNA' and lower
 dimensional projections.

Package: r-cran-shinyfeedback
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyfeedback_0.4.0-1.ca2004.1_all.deb
Size: 683764
MD5sum: 38b24e1cf15ab81f93ca0263267c2bc6
SHA1: 452044222f13ad3b807dfecec15a15bcdc11f7c6
SHA256: d4d3cf22fbc0635cc46cb38521f28d96508b72af27784d43da04d0937e5c835c
SHA512: 9aa008b94240a685aac7fe017e184535e28bc6fae35b51fed5206fec7b5373d5c90ae068990b4b14df9359334ab48641dd452d63b9a6e0289b0121fe8cc865e4
Homepage: https://cran.r-project.org/package=shinyFeedback
Description: CRAN Package 'shinyFeedback' (Display User Feedback in Shiny Apps)
 Easily display user feedback in Shiny apps.

Package: r-cran-shinyfiles
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny, r-cran-fs, r-cran-tibble
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinyfiles_0.9.3-1.ca2004.1_all.deb
Size: 402148
MD5sum: 87dfa3866664e3d29eed07f4db77ebb7
SHA1: f364765075c409d677ca7db19b60148f94f1a2db
SHA256: 5fee0087c371d69c9eb4115587b3cb0c80d84fad42a9996e592c13bc572a66d9
SHA512: a8de71fe91180b0b691dcded17da552eaad4ba053f381340b7a670fed8a4ed1620ff82d40879c10a00c3eb2316ee2fe39347a0547c50a4a2cfe2280726c10b9a
Homepage: https://cran.r-project.org/package=shinyFiles
Description: CRAN Package 'shinyFiles' (A Server-Side File System Viewer for Shiny)
 Provides functionality for client-side navigation of the server side file
 system in shiny apps. In case the app is running locally this gives the user
 direct access to the file system without the need to "download" files to a
 temporary location. Both file and folder selection as well as file saving is
 available.

Package: r-cran-shinyfilter
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1922
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-reactable, r-cran-shinybs, r-cran-shinyjs, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-shinyfilter_0.1.1-1.ca2004.1_all.deb
Size: 297476
MD5sum: c97dd5b230e5e8208d307ef2505b058d
SHA1: 35cf699156b36e25a5d0dc7b4c14683107c7a317
SHA256: 6ce46591283b50cc0eee695c4481ee66dbf38d11c0516f66e815ce1437005acf
SHA512: 83cb1e7b27004cb01c3f01cb1779b7a8b1ab5dcbe7062f316a0fad39e431efaffa4cb2e4e3b03012db588dd2ea8ecfd4fdde539a48fc33fd08aef579dd849b9a
Homepage: https://cran.r-project.org/package=shinyfilter
Description: CRAN Package 'shinyfilter' (Use Interdependent Filters on Table Columns in Shiny Apps)
 Allows to connect 'selectizeInputs' widgets as filters to a 'reactable'
 table.  As known from spreadsheet applications, column filters are
 interdependent, so each filter only shows the values that are really
 available at the moment based on the current selection in other filters.
 Filter values currently not available (and also those being available) can
 be shown via popovers or tooltips.

Package: r-cran-shinyfullscreen
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-shinyfullscreen_1.1.0-1.ca2004.1_all.deb
Size: 18772
MD5sum: 153d74f20e7bc17587d46f73e4f877a1
SHA1: c8b52857a7d09b28a9432e37b63a177fa2970fbe
SHA256: fb09d96d96a21236bc9d5e3bd04b94b71a7dae2e75c1025b7a3a58b136f3cb46
SHA512: 6cce6c791ffd7ca67ccfafc4a0e63f7e4200a622dd5bbc95d42f165f75fb16a022bccdbe2260b44901d67e751c40d7ad074ea5a867d9ab72b5237371e2db8b8a
Homepage: https://cran.r-project.org/package=shinyfullscreen
Description: CRAN Package 'shinyfullscreen' (Display 'HTML' Elements on Full Screen in 'Shiny' Apps)
 In 'Shiny' apps, it is sometimes useful to see a plot or a table in full
 screen. Using 'Shinyfullscreen', you can easily designate the 'HTML'
 elements that can be displayed on fullscreen and use buttons to trigger the
 fullscreen view.

Package: r-cran-shinygizmo
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-rlang, r-cran-htmltools, r-cran-htmlwidgets, r-cran-magrittr, r-cran-purrr, r-cran-shiny, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-shinygizmo_0.4.2-1.ca2004.1_all.deb
Size: 110388
MD5sum: b53a5dfe85a836a1ee081fb3f0f5bd89
SHA1: 01f9b4d9682e1f181de7991bb4ebbced81a00f65
SHA256: 3b38bbdf27dba6d8c081d373e0609fe6bd8346b8aa7362ec5b98ebcd95497af6
SHA512: 277f9afb678574409a8eae0bbb376f73d241cc421d999174d392f4796a1986666030e69a17b532a203e59a3e1f706b02f9b50777fe3f08bbee2a09ea049c9f42
Homepage: https://cran.r-project.org/package=shinyGizmo
Description: CRAN Package 'shinyGizmo' (Custom Components for Shiny Applications)
 Provides useful UI components and input widgets for 'Shiny' applications.
 The offered components allow to apply non-standard operations and view to
 your 'Shiny' application, but also help to overcome common performance
 issues.

Package: r-cran-shinyglide
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyglide_0.1.4-1.ca2004.1_all.deb
Size: 55428
MD5sum: 7f4e1a059e1ff526fc8c1c98ccd89c8e
SHA1: 9535524bc04360c563b026c451b6608eaafccfbd
SHA256: 8914d7deda2905c21de6bc8702fafb0922efa4b11fd3969e143a055cdd9f0e8f
SHA512: 7dce5750d26c08f6e73ff758c069aa1a953705d6aebac095f5411c72d47c6e675f9942154e1bec27c6329650b44b41b933059753b225fc72cdb2a464962568e8
Homepage: https://cran.r-project.org/package=shinyglide
Description: CRAN Package 'shinyglide' (Glide Component for Shiny Applications)
 Insert Glide JavaScript component into Shiny applications for carousel or
 assistant-like user interfaces.

Package: r-cran-shinygovstyle
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-shiny, r-cran-shinyjs, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinygovstyle_0.1.0-1.ca2004.1_all.deb
Size: 2561920
MD5sum: fe7b52d5617fb0503feb886f4f143020
SHA1: 32e4cacd3cdc0307f763eb4ad261436ae912ec4a
SHA256: abdab3dd00d25c5c8cd60bdc105d129da140f1ac80ee1feb35b4f467cee6e328
SHA512: cb5d8f39a912f60e8f3d7ea3170c941eaafeb28e0b73d4e4d0c8f6b6610baca277ec9a1244ed46ac16c6c5d78523823a3e9ed2350073087fb44dec13c6f13d0c
Homepage: https://cran.r-project.org/package=shinyGovstyle
Description: CRAN Package 'shinyGovstyle' (Custom Gov Style Inputs for Shiny)
 Collection of 'shiny' application styling that are the based on the GOV.UK
 Design System.  See <https://design-system.service.gov.uk/components/> for
 details.

Package: r-cran-shinyheatmaply
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-heatmaply, r-cran-shiny, r-cran-htmltools, r-cran-plotly, r-cran-dplyr, r-cran-xtable, r-cran-rmarkdown, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-shinyheatmaply_0.2.0-1.ca2004.1_all.deb
Size: 50220
MD5sum: c2f207d189397ff73f7a1afa1e25796e
SHA1: 198057b762351155350a927ab151ef0b056a5dd2
SHA256: 34a83d3fd53fa8e74472daa0957d176b68ed5f4b378d6e745e8c505f80a08f0b
SHA512: 77e3f1c4a426651a2d76c07afc73eee5da65c2b55c5ff3e98848d5b16d5f79d67afc6af8755283fd2269da11a55b6452dfcf7633c03b3c5e3888afa3d69b2714
Homepage: https://cran.r-project.org/package=shinyHeatmaply
Description: CRAN Package 'shinyHeatmaply' (Deploy 'heatmaply' using 'shiny')
 Access functionality of the 'heatmaply' package through 'Shiny UI'.

Package: r-cran-shinyhelper
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-shinyhelper_0.3.2-1.ca2004.1_all.deb
Size: 90660
MD5sum: 624b21209d3e8c9bb7ea85188e15dc11
SHA1: 314dba88a9f720213fef530b9cefed5bc63cad4f
SHA256: 8b1926349fbcf899ef501005978d969c44634f630b037dc0c5e79fbfe74777f0
SHA512: c69170be7186df20a7567a01cc625fdfd19e975345c94f9aec1d691dfa9fa2e52e7cebf4df9490ebcf7a36659b7f45266140ad2c37d902f3cae85840c3eaa6d5
Homepage: https://cran.r-project.org/package=shinyhelper
Description: CRAN Package 'shinyhelper' (Easily Add Markdown Help Files to 'shiny' App Elements)
 Creates a lightweight way to add markdown helpfiles to 'shiny' apps, using
 modal dialog boxes, with no need to observe each help button separately.

Package: r-cran-shinyhttr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shinywidgets, r-cran-httr
Filename: pool/dists/focal/main/r-cran-shinyhttr_1.1.0-1.ca2004.1_all.deb
Size: 18504
MD5sum: f8623a0aa74a4354e30ea5509beab85f
SHA1: 30d0c82474fefac2f60d36b241d44c55458bb280
SHA256: 2ce2bb5191de207d017ead26e9de5e21c9b167213333e9ded6a42cf5c4797298
SHA512: 7a8697483c89cab95ea774b42756cefc0b0e16f6c64476c8677022637bc1cd42556ed6636a8b1c4ccf0adfe8d0bf136cc5d03186e09a2aa4e9af3567c8855796
Homepage: https://cran.r-project.org/package=shinyhttr
Description: CRAN Package 'shinyhttr' (Progress Bars for Downloads in 'shiny' Apps)
 Modifies the progress() function from 'httr' package to let it send output
 to progressBar() function from 'shinyWidgets' package.  It is just a tweak
 at the original functions from 'httr' package to make it smooth for 'shiny'
 developers.

Package: r-cran-shinyhugeplot
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1442
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotly, r-cran-shiny, r-cran-r6, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-data.table, r-cran-stringr, r-cran-nanotime, r-cran-assertthat, r-cran-bit64, r-cran-purrr, r-cran-jsonlite, r-cran-lazyeval, r-cran-shinyjs, r-cran-htmltools, r-cran-rlang, r-cran-duckdb, r-cran-dbi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyhugeplot_0.3.0-1.ca2004.1_all.deb
Size: 1253252
MD5sum: d34e78f61e333655d9f8121762c1281d
SHA1: 6612e45191e493edb9a657d6a3be961e30cd2022
SHA256: 89d5332498001acab448ffeff473e78a3a6c3b011e7e02d3ec9a7e926c6133b0
SHA512: 35f257676c84859f32b65334261b263674ece4ccbf0b527381b3a917928d7f8c1f81475d50eeb6e423c6f588c081c26edfa79ace8c18fbc6848d9d85eb2500d6
Homepage: https://cran.r-project.org/package=shinyHugePlot
Description: CRAN Package 'shinyHugePlot' (Efficient Plotting of Large-Sized Data)
 A tool to plot data with a large sample size using 'shiny' and 'plotly'.
 Relatively small samples are obtained from the original data using a
 specific algorithm.  The samples are updated according to a user-defined x
 range.  Jonas Van Der Donckt, Jeroen Van Der Donckt, Emiel Deprost (2022)
 <https://github.com/predict-idlab/plotly-resampler>.

Package: r-cran-shinyimage
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1729
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-ebimage, r-cran-r6, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyimage_0.1.0-1.ca2004.1_all.deb
Size: 1678000
MD5sum: 435ad41de71ef11529820868bef1bb32
SHA1: 9515fa3b1d32f29a831ac9375ea6a83fa13c8d70
SHA256: 0f2375d97f44b3ae858d97166f14940bb484984e37ebcef4e636a98f33b767c2
SHA512: 92fe5aaaa0fe3768fe5b3fe78fa2f9edc596d55ea6ba34b3d35152c953b7f7e08f2da78b9e8c21dd66e915852e41caa4ab2ba1a2dac10709b0d78ae98caeec69
Homepage: https://cran.r-project.org/package=ShinyImage
Description: CRAN Package 'ShinyImage' (Image Manipulation, with an Emphasis on Journaling)
 Standard imaging operations, e.g. crop and contrast adjustment, but with
 ability to go back and forth through sequence of changes, with records being
 persistent.  Optional Shiny interface.  Useful to help with the research
 reproducibility problem, and as a teaching tool.

Package: r-cran-shinyinvoice
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-quantmod, r-cran-rlang, r-cran-stringr, r-cran-shiny, r-cran-lubridate
Suggests: r-cran-fs, r-cran-jsonlite, r-cran-pillar, r-cran-readr, r-cran-rhino, r-cran-rjson, r-cran-shinyace, r-cran-tinytex, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-shinyinvoice_0.0.5-1.ca2004.1_all.deb
Size: 108180
MD5sum: 5b8c2607fbe1f1fab33137640d695229
SHA1: 50838eda3c30a6d499f34ff561654deeebbc4778
SHA256: c1565a912694b0f1c59eaaeed996075b8e82bb94e2bc94ccc57a24209e844e3f
SHA512: f3de1cd9e1329e7b10e36400fc39cceb2018088721d5118e5cd81df9037f10b0367179e1abf6ba117922ac94f19b090ca7a88c9d333037f43420dbdc6ea10d76
Homepage: https://cran.r-project.org/package=shinyInvoice
Description: CRAN Package 'shinyInvoice' (Shiny App - Generate a Pdf Invoice with 'Rmarkdown')
 Generate an invoice containing a header with invoice number and businesses
 details. The invoice table contains any of: salary, one-liner costs, grouped
 costs. Under the table signature and bank account details appear.  Pages are
 numbered when more than one. Source .json and .Rmd files are editable in the
 app. A .csv file with raw data can be downloaded.  This package includes
 functions for getting exchange rates between currencies based on 'quantmod'
 (Ryan and Ulrich, 2023 <https://CRAN.R-project.org/package=quantmod>).

Package: r-cran-shinyirt
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-shiny, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-readxl, r-cran-mirt, r-cran-psych, r-cran-irtoys
Filename: pool/dists/focal/main/r-cran-shinyirt_0.1-1.ca2004.1_all.deb
Size: 37996
MD5sum: 1f9bd024ee4302bd02068000e0e815ad
SHA1: e41ceecc8c89fab40176c2ed50c72097f40e41b3
SHA256: 7bfd1449b358e42df68dde6765925783ea3fde8b8fc92619d04c0ddca9df5062
SHA512: bebed929c18bf7b2e0f8b761497f770c7ffcb34b0b2d54fcaf0b88047eedc52343954559ab83987a03bf10db953f97ebb8fed7fdf47ba34e02e16e3584b91fa5
Homepage: https://cran.r-project.org/package=shinyIRT
Description: CRAN Package 'shinyIRT' (Item Response Theory Analysis with a 'shiny' Application)
 Performing Item Response Theory analysis such as parameter estimation,
 ability estimation, item and model fit analyse, local independence
 assumption, dimensionality assumption, characteristic and information curves
 under various models with a user friendly 'shiny' interface.

Package: r-cran-shinyitemanalysis
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-difr, r-cran-dplyr, r-cran-ggplot2, r-cran-lme4, r-cran-mirt, r-cran-nnet, r-cran-psych, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-data.table, r-cran-deltaplotr, r-cran-difnlr, r-cran-dt, r-cran-ggdendro, r-cran-gridextra, r-cran-knitr, r-cran-latticeextra, r-cran-ltm, r-cran-plotly, r-cran-rmarkdown, r-cran-shiny, r-cran-shinybs, r-cran-shinyjs, r-cran-stringr, r-cran-testthat, r-cran-vgam, r-cran-xtable, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-shinyitemanalysis_1.5.4-1.ca2004.1_all.deb
Size: 2643292
MD5sum: 181b129ef0e871d81672e1ef07968d99
SHA1: 5a81b29b6d8fbf2e314ade0079d7ef1aa50317a3
SHA256: 7dec23f257d17878f4c2433d3362b82a3aefb290860639a41f598a2b975fa206
SHA512: 09c952076d7129e1e13f064dc8bb87377c30c8d998e39912ec49ee3ca1c5fd901dfaab707a5551647ae6d6572beb1a53ab7e63e7617db7a368af3042f4ebe854
Homepage: https://cran.r-project.org/package=ShinyItemAnalysis
Description: CRAN Package 'ShinyItemAnalysis' (Test and Item Analysis via Shiny)
 Package including functions and interactive shiny application for the
 psychometric analysis of educational tests, psychological assessments,
 health-related and other types of multi-item measurements, or ratings from
 multiple raters.

Package: r-cran-shinyjqui
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1273
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-highcharter, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-shinyjqui_0.4.1-1.ca2004.1_all.deb
Size: 570484
MD5sum: 95b346e8e8e3c15e4fd544f929828943
SHA1: c5bbac1248a6807f758ae5e745fb0feb8992ed05
SHA256: abb59d90e2a8ece40e0cc688a7b951812479dc87aeded175824cec1070818e43
SHA512: 2ce845f30ffb56e58d0cf5469a733486607e42b7ad2a5f2a7b15382bcb8c36194679a41431cad9d76e6a376c78aa4c7396a7b27f98808c8a0a432c0372792a1d
Homepage: https://cran.r-project.org/package=shinyjqui
Description: CRAN Package 'shinyjqui' ('jQuery UI' Interactions and Effects for Shiny)
 An extension to shiny that brings interactions and animation effects from
 'jQuery UI' library.

Package: r-cran-shinyjs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1513
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-jsonlite, r-cran-shiny
Suggests: r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-shinyace, r-cran-shinydisconnect, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyjs_2.1.0-1.ca2004.1_all.deb
Size: 995448
MD5sum: ee3dbe6599d0cab54899d4a653e50347
SHA1: ccc48bb1848102aa73cbd7c75065a8898cb5ee68
SHA256: efc2755eedc489bd8de2de1496cf5d230aca2703f1b31e2172a5e3a2e68446dc
SHA512: 65ac4f8eac1d65bbcd7c45d19612aa4be9c80cb973f0fc64b4a25ce7a3f8e46c4502cce3339401d44ac9dbeb43c2d1b2992054df7b43fd331dfdd763a4f3a9b3
Homepage: https://cran.r-project.org/package=shinyjs
Description: CRAN Package 'shinyjs' (Easily Improve the User Experience of Your Shiny Apps in Seconds)
 Perform common useful JavaScript operations in Shiny apps that will greatly
 improve your apps without having to know any JavaScript. Examples include:
 hiding an element, disabling an input, resetting an input back to its
 original value, delaying code execution by a few seconds, and many more
 useful functions for both the end user and the developer. 'shinyjs' can also
 be used to easily call your own custom JavaScript functions from R.

Package: r-cran-shinykanban
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-reactr, r-cran-shiny, r-cran-bsicons, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinykanban_0.0.1-1.ca2004.1_all.deb
Size: 225564
MD5sum: 84bfe2fdc2c449a55a932189bc4c69f6
SHA1: b3d07c65408c47e40f97c52bc8b026adfdd9fdbb
SHA256: 2a3d68f595d75f77f4477444e28c26eb86c6684641d08bea2ba86f5f6f1ed7aa
SHA512: 447246065a17140b8100d9f52e644e060eb10dcb794aa7376c778523b3fbdb0307ccc11e6689be517a3e7ac57da27dde551a42fa90a1259ca221c9555809f1dd
Homepage: https://cran.r-project.org/package=shinykanban
Description: CRAN Package 'shinykanban' (Create Kanban Board in Shiny Applications)
 Provides an interactive Kanban board widget for 'shiny' applications.  It
 allows users to manage tasks using a drag-and-drop interface and offers
 customizable styling options.  'shinykanban' is ideal for project
 management, task tracking, and agile workflows within 'shiny' apps.

Package: r-cran-shinykgode
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-pspline, r-cran-shiny, r-cran-shinyjs, r-cran-ggplot2, r-cran-reshape2, r-cran-gridextra, r-cran-mvtnorm, r-cran-kgode, r-cran-xml
Filename: pool/dists/focal/main/r-cran-shinykgode_1.0.5-1.ca2004.1_all.deb
Size: 29696
MD5sum: 2e97ead160be836ba9a79aad11bff5e9
SHA1: 9f2ae4be8453236634092011b18b32e511687ed4
SHA256: f2d75cd05ada051acac36e047936a21819fde91f97f51ad9b735fa1caf3fd2a7
SHA512: 185cb23b3f3d0201897701aa6e775a6cd7ae134ad8d6e4e6c0ae54fdb16b149e05a8f6826cbe444b41d969cd50e2f90480c36587b15ce4c4d47b3a79b83c0650
Homepage: https://cran.r-project.org/package=shinyKGode
Description: CRAN Package 'shinyKGode' (An Interactive Application for ODE Parameter Inference UsingGradient Matching)
 An interactive Shiny application to perform fast parameter inference on
 dynamical systems (described by ordinary differential equations) using
 gradient matching.  Please see the project page for more details.

Package: r-cran-shinyknobs
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-shinyknobs_0.1.3-1.ca2004.1_all.deb
Size: 31048
MD5sum: d287b5b89aa8f868b41486b0420fa30d
SHA1: 696bd6858146a43fe18501b355dad2d8feac9c66
SHA256: af07b92412b49c05ee0a77c9a2acb15d9a767fc2a8c481efc953f3ecd62527ee
SHA512: 2bcf85a00a11d84525a87b50b337c20c77a0a7aaf850f9e00e828e3477374c1f16562c428eeb114529d5ecb69ba3efb097fde9fd7edb9061014b43e2bd8e4e16
Homepage: https://cran.r-project.org/package=shinyKnobs
Description: CRAN Package 'shinyKnobs' (A Collection of Knob Inputs for 'shiny')
 A collection of highly configurable, touch-enabled knob input controls for
 'shiny'. These components can be styled to fit in perfectly in any app, and
 allow users to set precise values through many input modalities. Users can
 touch-and-drag, click-and-drag, scroll their mouse wheel, double click, or
 use keyboard input.

Package: r-cran-shinylight
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httpuv, r-cran-jsonlite, r-cran-later
Suggests: r-cran-websocket
Filename: pool/dists/focal/main/r-cran-shinylight_1.2-1.ca2004.1_all.deb
Size: 184096
MD5sum: 8ae7a6124f4b6211b0c4d61e702a6643
SHA1: cfc0560c7bcb739b454d51768e4cc330fe44ea57
SHA256: e649db0174cf162013d5aee2e35ffa2751ed803f02e4a35b90ff75a04f450f9b
SHA512: 9b2e86ce5c538aea98a04d5e6716018f37a252a15bdb91865ada14caee594ce73553bcd8ced14293cb9880f8c23a87d5862e685a4263c3a9d3d87b39d0ed87eb
Homepage: https://cran.r-project.org/package=shinylight
Description: CRAN Package 'shinylight' (Web Interface to 'R' Functions)
 Web front end for your 'R' functions producing plots or tables.  If you have
 a function or set of related functions, you can make them available over the
 internet through a web browser. This is the same motivation as the 'shiny'
 package, but note that the development of 'shinylight' is not in any way
 linked to that of 'shiny' (beyond the use of the 'httpuv' package). You
 might prefer 'shinylight' to 'shiny' if you want a lighter weight deployment
 with easier horizontal scaling, or if you want to develop your front end
 yourself in JavaScript and HTML just using a lightweight remote procedure
 call interface to your R code on the server.

Package: r-cran-shinylink
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-config, r-cran-dt, r-cran-fastlink, r-cran-gender, r-cran-ggplot2, r-cran-ggvenn, r-cran-golem, r-cran-haven, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-readxl, r-cran-shiny, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinywidgets, r-cran-tidyr, r-cran-tidyselect, r-cran-vroom
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinylink_0.2.2-1.ca2004.1_all.deb
Size: 235836
MD5sum: 3820931ec7992d41dadd332952779277
SHA1: b99b3a36e1afc3cbf4c423efe8d2db8ec534e7b2
SHA256: 9e88a76a28f1acd597df25583e0d0e34703e4c815913e3122f44695eda50a5ca
SHA512: b83098021bd9dbf1ab81ccfd2587b6553b2ae14196adfdcf0d0d6a49f57f2561d55ebf03a48763e8d3509a257214db925cbbb0835aada79eec6c4c02ea7b10fb
Homepage: https://cran.r-project.org/package=ShinyLink
Description: CRAN Package 'ShinyLink' ('Shiny' Based Record Linkage Tool)
 A bridge is created between existing robust open-source record linkage
 algorithms and an urgently needed user-friendly platform that removes
 financial and technical barriers, setting a new standard for data
 interoperability in public health and bioinformatics. The 'fastLink'
 algorithms are used for matching. Ted Enamorado et al. (2019)
 <doi:10.1017/S0003055418000783>.

Package: r-cran-shinylive
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-archive, r-cran-brio, r-cran-cli, r-cran-fs, r-cran-gh, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-pkgdepends, r-cran-progress, r-cran-rappdirs, r-cran-renv, r-cran-rlang, r-cran-whisker, r-cran-withr
Suggests: r-cran-httpuv, r-cran-pkgcache, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinylive_0.3.0-1.ca2004.1_all.deb
Size: 96448
MD5sum: a4f851c533f4c531f569d8e46de91be6
SHA1: 57aa327b24617c04cd0b49a1b6d9abea83644119
SHA256: da31aa63a3c7b670a565dd0217e69d2d9b80a21275de2ed9087b44d12b51f3d4
SHA512: 3dc2acab5eb598bce66422b1550bb32c27c2bf866cd1e672aad03caa0dfe173e9b6e510f7801440c05d47cf3336cf157305fb128b8502bfdc51e27aa9a2b303c
Homepage: https://cran.r-project.org/package=shinylive
Description: CRAN Package 'shinylive' (Run 'shiny' Applications in the Browser)
 Exporting 'shiny' applications with 'shinylive' allows you to run them
 entirely in a web browser, without the need for a separate R server. The
 traditional way of deploying 'shiny' applications involves in a separate
 server and client: the server runs R and 'shiny', and clients connect via
 the web browser. When an application is deployed with 'shinylive', R and
 'shiny' run in the web browser (via 'webR'): the browser is effectively both
 the client and server for the application. This allows for your 'shiny'
 application exported by 'shinylive' to be hosted by a static web server.

Package: r-cran-shinyloadtest
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-httpuv, r-cran-jsonlite, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-svglite, r-cran-vroom, r-cran-websocket, r-cran-xml2
Suggests: r-cran-getpass, r-cran-glue, r-cran-gtable, r-cran-htmltools, r-cran-lubridate, r-cran-progress, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-shinyloadtest_1.2.0-1.ca2004.1_all.deb
Size: 563024
MD5sum: 6d3c3134d319bece25ab145d2fb0166e
SHA1: b70657ed12203147d034376b7d1f573f61aadf78
SHA256: 51e6cc00f8199be657ea7e4082bbacbeea633946597180ba4c9dfde43d6c0420
SHA512: ff5705c187e68cec462ea1d6515ce63e092847170d20d8a564555e3f0de84a914431545082f6adebca21b9a14c1c348c1c8a80522638956d93931e52069620ca
Homepage: https://cran.r-project.org/package=shinyloadtest
Description: CRAN Package 'shinyloadtest' (Load Test Shiny Applications)
 Assesses the number of concurrent users 'shiny' applications are capable of
 supporting, and for directing application changes in order to support a
 higher number of users. Provides facilities for recording 'shiny'
 application sessions, playing recorded sessions against a target server at
 load, and analyzing the resulting metrics.

Package: r-cran-shinylogs
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 248
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-jsonlite, r-cran-data.table, r-cran-bit64, r-cran-nanotime, r-cran-digest, r-cran-anytime
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-dbi, r-cran-rsqlite, r-cran-googledrive
Filename: pool/dists/focal/main/r-cran-shinylogs_0.2.1-1.ca2004.1_all.deb
Size: 117012
MD5sum: 99882b25030c099e10e05506c9bdf98e
SHA1: b662945e3ca5ef42eacf22d11237ae58e59d8ee4
SHA256: 164c408c63b3b8df7324784ca83de9fa4b3c703f8d8a4899bea99d1f536944f8
SHA512: 48e6b71e51fcd5c4d69c5642e0498d088ec676d43c9eaf3f31735c9c58fd70c0310b7a296f0fa490e832fed12aac1ee61c246cfa2ce2e140a7f21f22088d20fb
Homepage: https://cran.r-project.org/package=shinylogs
Description: CRAN Package 'shinylogs' (Record Everything that Happens in a 'Shiny' Application)
 Track and record the use of applications and the user's interactions with
 'Shiny' inputs.  Allows to trace the inputs with which the user interacts,
 the outputs generated, as well as the errors displayed in the interface.

Package: r-cran-shinylottie
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-jsonlite, r-cran-glue, r-cran-htmltools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinylottie_1.0.0-1.ca2004.1_all.deb
Size: 88776
MD5sum: bad2d4f21c1de1275265b13a3a48832e
SHA1: 8f5d04a9379fd47adddc22cd44cb902f7b626196
SHA256: 46ea8f4ce84f7ad26adcbc2ce62625705100413c25b179645512b7a4f88d4300
SHA512: 1ded3e46b2482b694118ad6a52ef2e824282d1edaf36eae168500d58877dec8c02dbfd87a1044844386e9ab20380a73bfc7a8dfb4e18820e9d5427f2821d072c
Homepage: https://cran.r-project.org/package=shinyLottie
Description: CRAN Package 'shinyLottie' (Seamlessly Integrate 'Lottie' Animations into 'shiny'Applications)
 Easily integrate and control 'Lottie' animations within 'shiny'
 applications', without the need for idiosyncratic expression or use of
 'JavaScript'. This includes utilities for generating animation instances,
 controlling playback, manipulating animation properties, and more. For more
 information on 'Lottie', see: <https://airbnb.io/lottie/#/>. Additionally,
 see the official 'Lottie' GitHub repository at
 <https://github.com/airbnb/lottie>.

Package: r-cran-shinylp
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinylp_1.1.3-1.ca2004.1_all.deb
Size: 34840
MD5sum: 68576fa93ea5769076c166887ef02b11
SHA1: 3d01a95b72e6de7563b2d4a339b121332a4aff3a
SHA256: a797ec09c89f337a3db17a0c9100520de94e4b4430403f6bb0ff0edd3640fb1b
SHA512: 8cc21ff65db8afb42d295098d4e8f4fe920fc578da8aabf7c5a0c9e47849f42c4567cf88de32e2742122a76a9d70de14c910d16c9d377d5abf0acf58bb24a2a2
Homepage: https://cran.r-project.org/package=shinyLP
Description: CRAN Package 'shinyLP' (Bootstrap Landing Home Pages for Shiny Applications)
 Provides functions that wrap HTML Bootstrap components code to enable the
 design and layout of informative landing home pages for Shiny applications.
 This can lead to a better user experience for the users and writing less
 HTML for the developer.

Package: r-cran-shinymanager
Architecture: all
Version: 1.0.410-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3509
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-htmltools, r-cran-dt, r-cran-dbi, r-cran-rsqlite, r-cran-openssl, r-cran-r.utils, r-cran-billboarder, r-cran-scrypt
Suggests: r-cran-keyring, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinymanager_1.0.410-1.ca2004.1_all.deb
Size: 1652508
MD5sum: 2963e8d35ed9e2afa31eb688ece34600
SHA1: e6587fc5dc540ffd91a9546dd35f2f33dd2cfdcd
SHA256: 35f1c5feb38d1d0b2b2adbbb1a8c79cc80d38d46743d3883b0e0954661a1ab56
SHA512: 823b1b69822c2f7fc64a5e85100fe2567e54ed6b8b0bc5bdc9dfc91c144fb5ddd376bfd66c31b9786056e486eaea137c4c763993a2da75b88991172f26c2ca5c
Homepage: https://cran.r-project.org/package=shinymanager
Description: CRAN Package 'shinymanager' (Authentication Management for 'Shiny' Applications)
 Simple and secure authentification mechanism for single 'Shiny'
 applications.  Credentials are stored in an encrypted 'SQLite' database.
 Source code of main application is protected until authentication is
 successful.

Package: r-cran-shinymaterial
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1648
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-jsonlite, r-cran-sass
Filename: pool/dists/focal/main/r-cran-shinymaterial_1.2.0-1.ca2004.1_all.deb
Size: 1154100
MD5sum: 96605a695e4a5d4d679f620f39fbe81a
SHA1: 632a85bd90cd554b633883aa4d5b00a95784585e
SHA256: d0156862ca004f7c94889bdc4468785c3c7dafe1e409e887841417bd5c27dddf
SHA512: 4231950a885311bbcea8e4521319dfdd14204770c2017ef3beaeaeedfc77d12fc704ba0d405c0e94d22e3966875e7b5e56fc54f1c4092ce3b4fccd406cdaae7b
Homepage: https://cran.r-project.org/package=shinymaterial
Description: CRAN Package 'shinymaterial' (Implement Material Design in Shiny Applications)
 Allows shiny developers to incorporate UI elements based on Google's
 Material design. See <https://material.io/guidelines/> for more information.

Package: r-cran-shinymatrix
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 521
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinymatrix_0.8.0-1.ca2004.1_all.deb
Size: 128848
MD5sum: 3aeaceeab137922273d0776842fcd112
SHA1: 2a1aea384d4b5776f43ca29c596b5b913be5f8f9
SHA256: 6c6a70e0d21fa374ef3c0d5e6bff67e2a0323c95c31777dfb5ed52b0b49d5f68
SHA512: 717c5bcd93495ddd18219310026bcab80344723c7e8f6f2d689959e8d90bd49092f2098acfd2af80641e7476bc73356278cfb9038f0050e4972bb3defa61d592
Homepage: https://cran.r-project.org/package=shinyMatrix
Description: CRAN Package 'shinyMatrix' (Shiny Matrix Input Field)
 Implements a custom matrix input field.

Package: r-cran-shinymergely
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-shinyjqui, r-cran-shinythemes, r-cran-uchardet
Filename: pool/dists/focal/main/r-cran-shinymergely_0.2.0-1.ca2004.1_all.deb
Size: 578312
MD5sum: 4179fb2617234488d264a2961b5c622c
SHA1: 2a866dd6a97b01b7c63f9883cca88109aac49c8c
SHA256: dc11f399cc9a51491febb9dba0dcc1a9c1142883c8459904ff69079aded908d2
SHA512: 5e4e008585344acfde6e1c76251b8db6f280c23369dccd30d7394846a4e299eb3e9dd92b92147f7a35116c1c055f292c0fade192ff97c8fe01c2bf482da2e217
Homepage: https://cran.r-project.org/package=shinyMergely
Description: CRAN Package 'shinyMergely' (Compare and Merge Two Files with a 'Shiny' App)
 A 'Shiny' app allowing to compare and merge two files, with syntax
 highlighting for several coding languages.

Package: r-cran-shinymeta
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-fastmap, r-cran-fs, r-cran-rlang, r-cran-htmltools, r-cran-shiny, r-cran-sourcetools, r-cran-styler
Suggests: r-cran-knitr, r-cran-stringr, r-cran-rmarkdown, r-cran-testthat, r-cran-shinyace, r-cran-clipr, r-cran-dplyr, r-cran-ggplot2, r-cran-cranlogs, r-cran-xfun, r-cran-magrittr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-shinymeta_0.2.1-1.ca2004.1_all.deb
Size: 132588
MD5sum: 23b250301450fe748b33b3540f282bd5
SHA1: 39c9f8be9739a7e96b1311f1dc677eb0d7b99eb4
SHA256: 5af7ada8edc52e353162108a4e219223b4430c5f01570dd7d47b9463cb54e645
SHA512: f9a731f8dd88c9a94997a4b621d99d7e118c31526358ab67658fbe4c4375e4cfbb01dbf1cdbeee1c61973040b4bc42ca1a2d3035fef9c05ad478678c35bc2a38
Homepage: https://cran.r-project.org/package=shinymeta
Description: CRAN Package 'shinymeta' (Export Domain Logic from Shiny using Meta-Programming)
 Provides tools for capturing logic in a Shiny app and exposing it as code
 that can be run outside of Shiny (e.g., from an R console). It also provides
 tools for bundling both the code and results to the end user.

Package: r-cran-shinymgr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-dbi, r-cran-reactable, r-cran-renv, r-cran-rsqlite, r-cran-shinyjs, r-cran-shinydashboard
Suggests: r-cran-fs, r-cran-learnr, r-cran-shinytest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinymgr_1.1.0-1.ca2004.1_all.deb
Size: 2404576
MD5sum: faf42552152e283226afa40b17f5740a
SHA1: a50d3f7d20f181b212265048582f285cb0e607b4
SHA256: b0d2d3826ae8e86a818555db117ea56845d6fd5e841a5bd3a01c2eb1828e669a
SHA512: d295dac6e59a13fc1df2f4d728b6e3f41b23914b03525f00b2150b341fadac9a5609866890b0ed1a065e36ff5a3650e33684fcb304cb640acced61871361b9c6
Homepage: https://cran.r-project.org/package=shinymgr
Description: CRAN Package 'shinymgr' (A Framework for Building, Managing, and Stitching 'shiny'Modules into Reproducible Workflows)
 A unifying framework for managing and deploying 'shiny' applications that
 consist of modules, where an "app" is a tab-based workflow that guides a
 user step-by-step through an analysis. The 'shinymgr' app builder "stitches"
 'shiny' modules together so that outputs from one module serve as inputs to
 the next, creating an analysis pipeline that is easy to implement and
 maintain. Users of 'shinymgr' apps can save analyses as an RDS file that
 fully reproduces the analytic steps and can be ingested into an R Markdown
 report for rapid reporting. In short, developers use the 'shinymgr'
 framework to write modules and seamlessly combine them into 'shiny' apps,
 and users of these apps can execute reproducible analyses that can be
 incorporated into reports for rapid dissemination.

Package: r-cran-shinymixr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-gridextra, r-cran-collapsibletree, r-cran-shinyace, r-cran-dt, r-cran-bs4dash, r-cran-shinywidgets, r-cran-stringi, r-cran-r3port, r-cran-whisker, r-cran-plotly, r-cran-patchwork, r-cran-shinyjs, r-cran-ps, r-cran-xfun, r-cran-fresh, r-cran-nlmixr2, r-cran-nlmixr2est, r-cran-magrittr, r-cran-cli
Suggests: r-cran-xpose, r-cran-xpose.nlmixr2, r-cran-nlme, r-cran-testthat, r-cran-shinytest2, r-cran-knitr, r-cran-rmarkdown, r-cran-rlang, r-cran-miniui, r-cran-shinyfiles, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-shinymixr_0.5.0-1.ca2004.1_all.deb
Size: 1067172
MD5sum: e788b0bfad0ceb8de9c433102a783a06
SHA1: 0a80f9d789e485822e0716b5e59bf50e64307a14
SHA256: 46c2834ec35cadd8c794e58e439325db1f4d5f5e24672999fbd06f1bdac4977f
SHA512: f1b033f537b6955693974e462a0ca9459b4997db045148ef8df096bede5801093cbae979178ae299530f1d7338a6799c77caaf0fa3a4a4629285ae4e581f6e18
Homepage: https://cran.r-project.org/package=shinyMixR
Description: CRAN Package 'shinyMixR' (Interactive 'shiny' Dashboard for 'nlmixr2')
 An R shiny user interface for the 'nlmixr2' (Fidler et al (2019)
 <doi:10.1002/psp4.12445>) package, designed to simplify the modeling process
 for users. Additionally, this package includes supplementary functions to
 further enhances the usage of 'nlmixr2'.

Package: r-cran-shinyml
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-shiny, r-cran-argondash, r-cran-argonr, r-cran-shinyjs, r-cran-h2o, r-cran-shinywidgets, r-cran-dygraphs, r-cran-plotly, r-cran-sparklyr, r-cran-tidyr, r-cran-dt, r-cran-ggplot2, r-cran-shinycssloaders, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyml_1.0.1-1.ca2004.1_all.deb
Size: 157340
MD5sum: b83ff7c3b815b3f5fe1e4c95c68f9de8
SHA1: 57bbe65fdb2a53901d2921873f20e54c2221bfea
SHA256: 71c55eb6c4ca45adeb68b0f54327efae33545a14459dbeaccc0afe7bea8414a0
SHA512: 0c917dd16abbdae64c04e3e979eb594d84bbefa5b47f830f5c2aa2526f7ddc7c5d7660ff9e670c4c3f258b1745c00df7ea4ab4dce50d283148b1d01aa20a432f
Homepage: https://cran.r-project.org/package=shinyML
Description: CRAN Package 'shinyML' (Compare Supervised Machine Learning Models Using Shiny App)
 Implementation of a shiny app to easily compare supervised machine learning
 model performances.  You provide the data and configure each model parameter
 directly on the shiny app.  Different supervised learning algorithms can be
 tested either on Spark or H2O frameworks to suit your regression and
 classification tasks.  Implementation of available machine learning models
 on R has been done by Lantz (2013, ISBN:9781782162148).

Package: r-cran-shinymobile
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4504
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-jsonlite, r-cran-magrittr, r-cran-gplots, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-cli, r-cran-testthat, r-cran-rstudioapi, r-cran-shinywidgets, r-cran-apexcharter, r-cran-ggplot2, r-cran-dplyr, r-cran-bslib, r-cran-shinytest2, r-cran-thematic
Filename: pool/dists/focal/main/r-cran-shinymobile_2.0.1-1.ca2004.1_all.deb
Size: 1608428
MD5sum: 9cbc559b1616ce80438daae61c5c3987
SHA1: 82f196e3fca1a4d29973bf4b42b2dda6028fd6ea
SHA256: 473e1c0d054f78331ab933343e8bcce3c3d121c9f66a85008eb9bd4dec81f207
SHA512: ebd5d9c3e739d2cf8399edc25f4419c4eac35f18de864b123b04a66158ec76c85a4e11f9c2b2889e650d1c06807a90965295b0eed8c0eaea593a656bf867573a
Homepage: https://cran.r-project.org/package=shinyMobile
Description: CRAN Package 'shinyMobile' (Mobile Ready 'shiny' Apps with Standalone Capabilities)
 Develop outstanding 'shiny' apps for 'iOS' and 'Android' as well as
 beautiful 'shiny' gadgets.  'shinyMobile' is built on top of the latest
 'Framework7' template <https://framework7.io>.  Discover 14 new input
 widgets (sliders, vertical sliders, stepper, grouped action buttons,
 toggles, picker, smart select, ...), 2 themes (light and dark), 12 new
 widgets (expandable cards, badges, chips, timelines, gauges, progress bars,
 ...)  combined with the power of server-side notifications such as alerts,
 modals, toasts, action sheets, sheets (and more) as well as 3 layouts
 (single, tabs and split).

Package: r-cran-shinymodels
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1620
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-dt, r-cran-generics, r-cran-glue, r-cran-htmltools, r-cran-magrittr, r-cran-parsnip, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinydashboard, r-cran-tidyr, r-cran-tidyselect, r-cran-tune, r-cran-yardstick
Suggests: r-cran-covr, r-cran-finetune, r-cran-knitr, r-cran-markdown, r-cran-modeldata, r-cran-rmarkdown, r-cran-shinytest, r-cran-spelling, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shinymodels_0.1.1-1.ca2004.1_all.deb
Size: 1596496
MD5sum: 2d5c71ccdbc6709d7e7b26b9163bb9af
SHA1: 55708be48908bcbe50afde06c1be88c42e05f900
SHA256: 97300d8239e26a929a079a21aed3779dcf256c1dc7ff453d6e475e6e0f6ba56c
SHA512: 12d65c64355d9879d6cbee0245797446ba8c60a6eb5b0e98cf9d371be3075ea5016b59b03ad981263da60f393bf6207b16eb1dca09be6e8965d6295f830ca39f
Homepage: https://cran.r-project.org/package=shinymodels
Description: CRAN Package 'shinymodels' (Interactive Assessments of Models)
 Launch a 'shiny' application for 'tidymodels' results. For classification or
 regression models, the app can be used to determine if there is lack of fit
 or poorly predicted points.

Package: r-cran-shinymolbio
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-checkmate, r-cran-rdml, r-cran-shiny, r-cran-stringr, r-cran-whisker, r-cran-plotly, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-chippcr
Filename: pool/dists/focal/main/r-cran-shinymolbio_0.2-1.ca2004.1_all.deb
Size: 74744
MD5sum: 9688d5ce8c5bff8e386315d46ee6218e
SHA1: d2938cdaaf92dad1a404ec4d2cb8c95bc8288c19
SHA256: f5b2bd6ca651348623bd92e45e591029af9e37d06b274966baefbd71345d9dd1
SHA512: 8ff8308c1c37847ad850ada8c45363665c568f4092a2edd77eb90b3ba249b94dd24e1cb86032f37e480dbc010dc3e2da6860ce82cca82d25318a270f2e3cac64
Homepage: https://cran.r-project.org/package=shinyMolBio
Description: CRAN Package 'shinyMolBio' (Molecular Biology Visualization Tools for 'Shiny' Apps)
 Interactive visualization of 'RDML' files via 'shiny' apps.  Package
 provides (1) PCR plate interface with ability to select individual tubes and
 (2) amplification/melting plots with fast hiding and highlighting individual
 curves.

Package: r-cran-shinymonacoeditor
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 21368
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-shinythemes, r-cran-styler, r-cran-formatr, r-cran-uchardet, r-cran-shinyjqui, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-shinymonacoeditor_1.1.0-1.ca2004.1_all.deb
Size: 3090024
MD5sum: 3cb841b999260129ce9b79283b2b91c4
SHA1: 037334d951c75c8f20cdab01a3dc4b3abd281c55
SHA256: 8309629baba13b9173ffd1ea2f2a70cc9fd307b369ed018c71bf71cdd764b927
SHA512: 25b41931086cac477d5816cbf085e6a178cd52ac4b168f9198e2e7f5b04523a7b441f9d802da4560f088ca0bb462ea0adff08cc610fddf01ecfd22158f1ef667
Homepage: https://cran.r-project.org/package=shinyMonacoEditor
Description: CRAN Package 'shinyMonacoEditor' (The 'Monaco' Editor in 'Shiny')
 A 'Shiny' app including the 'Monaco' editor. The 'Monaco' editor is the code
 editor which powers 'VS Code'. It is particularly well developed for
 'JavaScript'. In addition to the 'Monaco' editor features, the app provides
 prettifiers and minifiers for multiple languages, 'SCSS' and 'TypeScript'
 compilers, code checking for 'C' and 'C++' (requires 'cppcheck').

Package: r-cran-shinynextui
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-shiny.react, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-shinytest2, r-cran-purrr, r-cran-thematic, r-cran-shiny.router, r-cran-roxy.shinylive
Filename: pool/dists/focal/main/r-cran-shinynextui_0.1.0-1.ca2004.1_all.deb
Size: 1520328
MD5sum: 075897e5d524528b36d633af942bc4d4
SHA1: 42ae3161d2b22e26871afecd232ae766dfe321a0
SHA256: 08260d3444b23f8014dd74e907cd4770e809b1170048b46003f0c74cab3f4f71
SHA512: 1d9c013a5181e530c42f4b3a7e913526692962b570552a1e826dc0811fa98d0167e6740791248651f0d6e7f7ba5fa1904167b58a3ee6ae6aba2983d7a3e1e0eb
Homepage: https://cran.r-project.org/package=shinyNextUI
Description: CRAN Package 'shinyNextUI' ('HeroUI' 'React' Template for 'shiny' Apps)
 A set of user interface components to create outstanding 'shiny' apps
 <https://shiny.posit.co/>, with the power of 'React' 'JavaScript'
 <https://react.dev/>. Seamlessly support dark and light themes, customize
 CSS with 'tailwind' <https://tailwindcss.com/>.

Package: r-cran-shinynorrrm
Architecture: all
Version: 0.8.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2539
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-shinywidgets, r-cran-pracma, r-cran-ternary
Filename: pool/dists/focal/main/r-cran-shinynorrrm_0.8.6-1.ca2004.1_all.deb
Size: 1141820
MD5sum: 9adfa14b01f0616689ce3a9df3dcd94d
SHA1: d71c09c2c21ba1e1719c487c0a68b940c4e0d69b
SHA256: 52a9ce2ced11c7ecccf5bf74537682a5bb716db2423d366f94d2e9e68fef355d
SHA512: a06fb3d8fe65dfba71988a9ebf01ea513b05fc5c0c21e67260dda6501de7c293500d8f6bf76e5cccf43bad1a575d57b693716593b06d450acb4351c54d8b836e
Homepage: https://cran.r-project.org/package=shinyNORRRM
Description: CRAN Package 'shinyNORRRM' (The Ultimate Igneous Norm)
 The computer program is an efficient igneous norm algorithm and rock
 classification system written in R but run as shiny app.

Package: r-cran-shinynotes
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shinyjs, r-cran-shiny, r-cran-shinywidgets, r-cran-dplyr, r-cran-dbi, r-cran-dbplyr, r-cran-rsqlite, r-cran-magrittr, r-cran-stringr, r-cran-markdown, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinynotes_0.0.2-1.ca2004.1_all.deb
Size: 90444
MD5sum: d2dffe0847481bfbb65297685c9b1ed6
SHA1: c06b42b00d1aacbf26cc7edb3759b25b8fbcab9c
SHA256: f09c2eeda34a35163ac1a1f1e218830c3b28bee8e268bd863dce620f8b9ac631
SHA512: 358648d56d09eeb747ba62becf7106fc03bd0e96ea9cef4bf2f017f9c3ee1a21202813fe99b709899b70c4e835f82fc8da4809f4c42553511fa42631ef72d8ed
Homepage: https://cran.r-project.org/package=shinyNotes
Description: CRAN Package 'shinyNotes' (Shiny Module for Taking Free-Form Notes)
 An enterprise-targeted scalable and customizable 'shiny' module providing an
 easy way to incorporate free-form note taking or discussion boards into
 applications.  The package includes a 'shiny' module that can be included in
 any 'shiny' application to create a panel containing searchable, editable
 text broken down by section headers.  Can be used with a local 'SQLite'
 database, or a compatible remote database of choice.

Package: r-cran-shinyobjects
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-knitr, r-cran-magrittr, r-cran-pander, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-stringr, r-cran-styler, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-mockery, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinyobjects_0.2.0-1.ca2004.1_all.deb
Size: 968272
MD5sum: 7c5c92832c894da7fed8da9a7420e943
SHA1: c4012469d23c2a31e1c72ac1ab6d17d097e287ce
SHA256: 12540cb01d9d7b8a69d4dc64bcbc4b88817d803ac8b97d479dbadfb370d52c33
SHA512: 67aa9e20f0e783b5130592a9aea96cafd27e332093059cdab249a406bdd90829fba961b29c3a341185eb49646ff591a578da395fd0fe769e48189e013ee00ca9
Homepage: https://cran.r-project.org/package=shinyobjects
Description: CRAN Package 'shinyobjects' (Access Reactive Data Interactively)
 Troubleshooting reactive data in 'shiny' can be difficult. These functions
 will convert reactive data frames into functions and load all assigned
 objects into your local environment. If you create a dummy input object, as
 the function will suggest, you will be able to test your server and ui
 functions interactively.

Package: r-cran-shinypanel
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shinyjs, r-cran-shiny, r-cran-shinybs, r-cran-htmltools, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-shinypanel_0.1.5-1.ca2004.1_all.deb
Size: 41484
MD5sum: 608a28512aefceff23daab380bea3712
SHA1: 60480135f3b7fed3b6abf38ebfb17fb57ff50129
SHA256: a4a8f4984f990a9b005a02aadb00f00413ae7d6f6b88a8c7ff082423f78ed622
SHA512: e06239c5fb2d3fd63e6304b50b1731f075b05c2af4a79b288971e0c678daf0577f6ea373024e8eff18c1b3907ec00d76af7c6c451bb4e055dfae7d85e4036ae0
Homepage: https://cran.r-project.org/package=shinypanel
Description: CRAN Package 'shinypanel' (Shiny Control Panel)
 Add shiny inputs with one or more inline buttons that grow and shrink with
 inputs.  Also add tool tips to input buttons and styling and messages for
 input validation.

Package: r-cran-shinypanels
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-glue, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-rlang, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinypanels_0.5.0-1.ca2004.1_all.deb
Size: 122212
MD5sum: 6904e4642ea27547115f93dc414819b9
SHA1: 41c544a97d09fda01466ca376ce2c2ef972cec6a
SHA256: d28e3e016e92f343c80e6fee01d58ae46b4ffb55ac0bee31033d7288655ee1e2
SHA512: 0eb5b21b993edc67688ba17e682fa7ea0cf42bd470842e0f60c32fdcf16a3757af62cc286ae0921f1c8e926db50423aa162bc3f89375e1c5214bbd3f7970a3d4
Homepage: https://cran.r-project.org/package=shinypanels
Description: CRAN Package 'shinypanels' (Shiny Layout with Collapsible Panels)
 Create 'Shiny Apps' with collapsible vertical panels.  This package provides
 a new visual arrangement for elements on top of 'Shiny'.  Use the expand and
 collapse capabilities to leverage web applications with many elements to
 focus the user attention on the panel of interest.

Package: r-cran-shinypivottabler
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1596
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pivottabler, r-cran-shiny, r-cran-openxlsx, r-cran-colourpicker, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-shinypivottabler_1.2-1.ca2004.1_all.deb
Size: 777220
MD5sum: 89fded8539fc4e6139640f521aed7ba1
SHA1: 454a06cc3a1cba5a9a1b63071233b7f09a0e3741
SHA256: edefabd4dfaf0324c83cc852fbc11d84f91f29d1299c188d3e93fd1a9b2e6665
SHA512: bafa8de8b144c261081642fc2f1433fa27e451d3dd19d41e123d92c8a5ac8a691619192a712d5489d69b7c98c7f03993a51cf53bb7bbd2fccb9a8ef3bf9db1ab
Homepage: https://cran.r-project.org/package=shinypivottabler
Description: CRAN Package 'shinypivottabler' (Shiny Module to Create Pivot Tables)
 Shiny Module to create, visualize, customize and export Excel-like pivot
 table.

Package: r-cran-shinypredict
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-testthat, r-cran-survival, r-cran-shiny, r-cran-ggplot2, r-cran-dt, r-cran-shinythemes, r-cran-ggthemes, r-cran-epi
Filename: pool/dists/focal/main/r-cran-shinypredict_0.1.1-1.ca2004.1_all.deb
Size: 25624
MD5sum: 7d0744da5c3b00a80ded32be6dd193bf
SHA1: 1d0daf0c0e547553c377f7daf4df6715eea9ad3c
SHA256: e251c76269af3c28b124a7fc0c2b80d1c5591cf58e1723ea457cd22ee82b48e6
SHA512: 234640deb6f8c4d786ded1a190b99b281e89cc5d8576f4cac96c903334c8a26986eb7609532bf4c8aac5504a25272977c58508d6d9afc90129bc448b57b2f976
Homepage: https://cran.r-project.org/package=shinyPredict
Description: CRAN Package 'shinyPredict' (Predictions using Shiny)
 Creates 'shiny' application ('app.R') for making predictions based on lm(),
 glm(), or coxph() models.

Package: r-cran-shinyproxylogs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyproxylogs_0.1.0-1.ca2004.1_all.deb
Size: 26372
MD5sum: 81b25d127c19ac060066ffedd4e41549
SHA1: 3348056e112aa60df2366c8f2f9ec3671fbfbcb6
SHA256: 294765fd08d696cc5cf75270c7556c2acb529e3804c77ea0306a81e961975ff6
SHA512: d5112de1fbd498d830be2331a605192e4b1618c44a91d94e7861b694c58102cf1771874b048b779133f6be605b5025e5b7d8d97349923eb686849e55d27314e3
Homepage: https://cran.r-project.org/package=shinyproxyLogs
Description: CRAN Package 'shinyproxyLogs' (Tools for Analyzing 'ShinyProxy' Containers Logs)
 Provides functions to parse and analyze logs generated by 'ShinyProxy'
 containers.  It extracts metadata from log file names, reads log contents,
 and computes summary statistics (such as the total number of lines and lines
 containing error messages), facilitating efficient monitoring and debugging
 of 'ShinyProxy' deployments.

Package: r-cran-shinyquerybuilder
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-querybuilder, r-cran-rlang, r-cran-r6, r-cran-magrittr, r-cran-jsonlite, r-cran-htmltools, r-cran-shiny, r-cran-glue, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyquerybuilder_0.1.0-1.ca2004.1_all.deb
Size: 550512
MD5sum: d8e528491cfbe0eb341b9271b048a0dd
SHA1: 387a226020eb46e4db5e9c5fcdc2bf7d34ef2ecc
SHA256: ef2576ca2245c7852e46e73c769fba73ef5ba100fb9bd3b66a999eae46c138d2
SHA512: 4ba2a037631fe11db7a236aeaab080b98a2a8b42db03e09de364b8cb363cfafee9c9abd286f51e0484b712e01b786b9abf286dc1dec1db806117514b53aeb97a
Homepage: https://cran.r-project.org/package=shinyQueryBuilder
Description: CRAN Package 'shinyQueryBuilder' (Construct Complex Filtering Queries in 'Shiny')
 Input widget that allows to construct complex filtering queries in 'Shiny'.
 It's a wrapper for 'JavaScript' library 'jQuery-QueryBuilder', check
 <https://querybuilder.js.org/>.

Package: r-cran-shinyquickstarter
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-miniui, r-cran-shinyjs, r-cran-shinyfiles, r-cran-shinyalert, r-cran-data.table, r-cran-colourpicker, r-cran-plotly, r-cran-ggplot2, r-cran-stringi, r-cran-stringr, r-cran-styler, r-cran-dplyr, r-cran-reshape2, r-cran-fs
Filename: pool/dists/focal/main/r-cran-shinyquickstarter_2.0.1-1.ca2004.1_all.deb
Size: 1132912
MD5sum: 50e74b4737e7a64e6f553d73f015bb12
SHA1: da4e877b0707bb29a1f326ea4501a0ada560a40f
SHA256: 5275bb1525a7f3ed76abec88cfbda6b87d04ef2b18d7bc788255b4b9e770806f
SHA512: e0f26f98a29d57c894e3cfd9826cb22ec1ac3117aeeaf734637c2989b8cdaa0d23ea0d443599f79fced924cfc5fdbd5292f16af10236686e7b2ab9ca4c9516a4
Homepage: https://cran.r-project.org/package=ShinyQuickStarter
Description: CRAN Package 'ShinyQuickStarter' ('RStudio' Addin for Building Shiny Apps per Drag & Drop)
 This 'RStudio' addin makes the creation of 'Shiny' and 'ShinyDashboard' apps
 more efficient.  Besides the necessary folder structure, entire apps can be
 created using a drag and drop interface and customized with respect to a
 specific use case. The addin allows the export of the required user
 interface and server code at any time. By allowing the creation of modules,
 the addin can be used throughout the entire app development process.

Package: r-cran-shinyquiz
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-fontawesome, r-cran-glue, r-cran-htmltools, r-cran-purrr, r-cran-reactable, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-stringi, r-cran-stringr
Suggests: r-cran-knitr, r-cran-pkgload, r-cran-renv, r-cran-rmarkdown, r-cran-sortable, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyquiz_0.0.1-1.ca2004.1_all.deb
Size: 643036
MD5sum: b1f6b24fe895f427cc267154373f75d4
SHA1: 972faf43db2b8eeba0972a2336044866fb91e268
SHA256: 6ecd39e096f24f0c52bd461ff3ac5f767dbd81f0afa83ac64ea585b0cc868460
SHA512: ca2e76a2f354e978896867f552b8ee61c577371c841a3ae54456e4e8fd44d9188fc1694292196c002f41b75344c43b24bd1ddf51e0106c4d8ea2472ba3e64103
Homepage: https://cran.r-project.org/package=shinyquiz
Description: CRAN Package 'shinyquiz' (Create Interactive Quizzes in 'shiny')
 Simple and flexible quizzes in 'shiny'. Easily create quizzes from various
 pre-built question and choice types or create your own using 'htmltools' and
 'shiny' packages as building blocks. Integrates with larger 'shiny'
 applications. Ideal for non-web-developers such as educators, data
 scientists, and anyone who wants to assess responses interactively in a
 small form factor.

Package: r-cran-shinyr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-shiny, r-cran-shinydashboard, r-cran-tm, r-cran-wordcloud, r-cran-corrplot, r-cran-randomforest, r-cran-rcolorbrewer, r-cran-caret, r-cran-nnet, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyr_0.4.2-1.ca2004.1_all.deb
Size: 827140
MD5sum: 300b571f4126f83707e0023f53836c3d
SHA1: 1cd3d8d8bab9b9eb2553edc73b006397632d434a
SHA256: 9d4880c0c12944d35538e63f9f089369c8af66f64329f64d8848970fe0fcd92c
SHA512: 18db478c57a8391ac85df41c2038fd2d2adb3d9efdcd2ca85b30a85a4ad6cdd2e9945774667c8a4d3ed9cb682239122d9c0476a5479ed8b2dfa97574456a2000
Homepage: https://cran.r-project.org/package=shinyr
Description: CRAN Package 'shinyr' (Data Insights Through Inbuilt R Shiny App)
 It builds dynamic R shiny based dashboards to analyze any CSV files. It
 provides simple dashboard design to subset the data, perform exploratory
 data analysis and preliminary machine learning (supervised and
 unsupervised). It also provides filters based on columns of interest.

Package: r-cran-shinyradiomatrix
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinyradiomatrix_0.2.1-1.ca2004.1_all.deb
Size: 27944
MD5sum: 487f824c970039408823e4a03b3dd2cc
SHA1: c2d32bc4661d54d8ade92e1616466dfb878b3d07
SHA256: ddc4bfa43f5dd4e490b139583f9b2c1118c963a912596e6f33fda6e7dd70ddfd
SHA512: 75692e3dded9fd77218fa5afcad22b2ed9620c534f9fce95e5c29dfeb4ce787489431a8140c5ec313b10e3008cb16d6a1c2559a547b126979d650fdc7da09eb5
Homepage: https://cran.r-project.org/package=shinyRadioMatrix
Description: CRAN Package 'shinyRadioMatrix' (Create a Matrix with Radio Buttons)
 An input controller for R Shiny: a matrix with radio buttons, where only one
 option per row can be selected.

Package: r-cran-shinyratings
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyratings_0.1.0-1.ca2004.1_all.deb
Size: 14564
MD5sum: c34259c07624dfff202d1e2f79560c94
SHA1: b78481c03e9a324165b95e386c05d0f1e6ae04dc
SHA256: 4fb8809df75c772bf72a1b4f5a7046cde2d4ea7671c41b0aac53bb13ee4157fc
SHA512: 498e7ff2aabbce11d8b40ceb8da72c0bad51b5fcd4a1842bb831f490a9176c506645cb4eaff4066066b494fa91e03a04783e79a45cea76147e02f513a5674824
Homepage: https://cran.r-project.org/package=shinyRatings
Description: CRAN Package 'shinyRatings' (An Intuitive Way of Providing Star Rating in a 'shiny' App)
 A simple interface to integrate star ratings into your 'shiny' apps.  It can
 be used for customer feedback systems, user reviews, or any application that
 requires user ratings.  'shinyRatings' offers a straightforward and
 customisable solution that enhances user engagement and facilitates valuable
 feedback collection.

Package: r-cran-shinyrecipes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-recipes, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-shiny, r-cran-miniui, r-cran-shinywidgets, r-cran-shinyglide, r-cran-sortable, r-cran-rstudioapi, r-cran-dt, r-cran-tidyr, r-cran-esquisse
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyrecipes_0.1.0-1.ca2004.1_all.deb
Size: 76184
MD5sum: 74f2a3267ea5c29a3f50d63cc0a35183
SHA1: 93545ca89f64be9fffb3f7f7eefb4d6b6fb6236f
SHA256: d8fc7c0fef4bee9650783e4d9aa5b0596491f0f9208033376cdc00489cc073f0
SHA512: b52a380d1f2cf5768c7e5ed8a05f1cefd30849d1aad64c6ec1c2cae0130225896cb2aed426c81b53d40f535950a22673b6ae9ac18331d5ab0a91b760ba631618
Homepage: https://cran.r-project.org/package=shinyrecipes
Description: CRAN Package 'shinyrecipes' (Gadget to Use the Data Preprocessing 'recipes' PackageInteractively)
 This gadget allows you to use the 'recipes' package belonging to
 'tidymodels' to carry out the data preprocessing tasks in an interactive
 way. Build your 'recipe' by dragging the variables, visually analyze your
 data to decide which steps to use, add those steps and preprocess your data.

Package: r-cran-shinyreforms
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-r6
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyreforms_0.0.1-1.ca2004.1_all.deb
Size: 131588
MD5sum: 30af098c61cc42ff2728f4e2b32f47ad
SHA1: b3b2e25b2a87c7de19348c46007dc1752c46a8b9
SHA256: 01aca1c498f07e256e4a74fbf05256c16cc04abec3593a39dd68153289602c42
SHA512: 0bce5ac582ec171e9d2c640563cead8f9cee9c8d53dd32e77f75b30d903e75898606987abba3712d369684133c7e5a9c83dc562713e085919caef4149fe3746f
Homepage: https://cran.r-project.org/package=shinyreforms
Description: CRAN Package 'shinyreforms' (Add Forms to your 'Shiny' App)
 Allows to create modular, reusable 'HTML' forms which can be embedded in
 your 'shiny' app with minimal effort.  Features include conditional code
 execution on form submission, automatic input validation and input tooltips.

Package: r-cran-shinyrgl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinyrgl_0.1.0-1.ca2004.1_all.deb
Size: 21472
MD5sum: 47c19d99715e7134d71d9d918c714814
SHA1: 6388fa94543c6db5a6f92160ecb5fab2f1ee368c
SHA256: afefcc143564d0f86f28601746db8f30b7697a55d66632293b6cf8ab479c9269
SHA512: 21256961e3cdc91551c7805e5b679abd4de2d17ca056655da86d72c126ab45ddd6fc66eef6f3746c7bde2ed2906ff3c83b17b44201fcaa35384eb1a3a584f888
Homepage: https://cran.r-project.org/package=shinyRGL
Description: CRAN Package 'shinyRGL' (Shiny Wrappers for RGL)
 Shiny wrappers for the RGL package. This package exposes RGL's ability to
 export WebGL visualization in a shiny-friendly format.

Package: r-cran-shinysbm
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3569
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sbm, r-cran-colourpicker, r-cran-config, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-flextable, r-cran-fresh, r-cran-ggplot2, r-cran-golem, r-cran-magrittr, r-cran-patchwork, r-cran-purrr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyalert, r-cran-shinydashboard, r-cran-stringr, r-cran-visnetwork
Suggests: r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinysbm_0.1.5-1.ca2004.1_all.deb
Size: 2123700
MD5sum: e4882e6435654f9dd22c4a1c26dd14cc
SHA1: 6b21e7c16a23438a35e610ee4ae8cef3e0a247a2
SHA256: e7f6a14f2f03e0a150a4863202d9cd049215fd8d2e87a4705416c718a77adac8
SHA512: 80adf665c4415a6df22d89ead1a64c6d8d6b071910d47dae6f5eb3656f74786921113e5100f17f5b9bb5fd22f3ed27f73b5d963480d8badf3f4969438ed41a63
Homepage: https://cran.r-project.org/package=shinySbm
Description: CRAN Package 'shinySbm' ('shiny' Application to Use the Stochastic Block Model)
 A 'shiny' interface for a simpler use of the 'sbm' R package.  It also
 contains useful functions to easily explore the 'sbm' package results.  With
 this package you should be able to use the stochastic block model without
 any knowledge in R, get automatic reports and nice visuals, as well as
 learning the basic functions of 'sbm'.

Package: r-cran-shinyscholar
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 498
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bslib, r-cran-gargoyle, r-cran-leaflet, r-cran-shiny, r-cran-curl, r-cran-devtools, r-cran-glue, r-cran-knitr, r-cran-zip
Suggests: r-cran-dt, r-cran-dplyr, r-cran-httr2, r-cran-knitcitations, r-cran-leaflet.extras, r-cran-markdown, r-cran-mirai, r-cran-r6, r-cran-rcolorbrewer, r-cran-renv, r-cran-rintrojs, r-cran-rmarkdown, r-cran-shinyace, r-cran-shinyalert, r-cran-shinybusy, r-cran-shinyjs, r-cran-shinytest2, r-cran-shinywidgets, r-cran-terra, r-cran-testthat, r-cran-xml2, r-cran-withr
Filename: pool/dists/focal/main/r-cran-shinyscholar_0.4.2-1.ca2004.1_all.deb
Size: 254220
MD5sum: f5253e2a26592f076b95b5e9ebf98189
SHA1: 1836936e29402bc5f23518934f6fd6bcf72f2703
SHA256: bd529f8ea7678ac5d2afb3dfe015a8907b2a19c8077497cc36d3e669608f3175
SHA512: cf375375955d34bf160cdc8b20305301c20dfcd69f0a716148dfbcf1178cbce8d7c19a22614964d41a807807fac62a5a34e44253de1ac1acb288f46b05f5d67d
Homepage: https://cran.r-project.org/package=shinyscholar
Description: CRAN Package 'shinyscholar' (A Template for Creating Reproducible 'shiny' Applications)
 Create a skeleton 'shiny' application with create_template() that is
 reproducible, can be saved and meets academic standards for attribution.
 Forked from 'wallace'. Code is split into modules that are loaded and linked
 together automatically and each call one function. Guidance pages explain
 modules to users and flexible logging informs them of any errors. Options
 enable asynchronous operations, viewing of source code, interactive maps and
 data tables. Use to create complex analytical applications, following best
 practices in open science and software development. Includes functions for
 automating repetitive development tasks and an example application at
 run_shinyscholar() that requires install.packages("shinyscholar",
 dependencies = TRUE). A guide to developing applications can be found on the
 package website.

Package: r-cran-shinyscreenshot
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 465
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-base64enc, r-cran-htmltools, r-cran-jsonlite, r-cran-shiny, r-cran-uuid
Suggests: r-cran-timevis
Filename: pool/dists/focal/main/r-cran-shinyscreenshot_0.2.1-1.ca2004.1_all.deb
Size: 281884
MD5sum: da947e0669a951229ceb874c6a5dbfb3
SHA1: 36fa3db269765cfd32b95528e17689911d65d8a4
SHA256: fc34274ecd45eda032dd84869a23a22c6a07db656616695ea4f9ef2e596c1310
SHA512: 739fc81c77738303a2e2d4220dac27c6920c7aeb9ce222451dad99fb8d36218793d7deafe0976d90337d31e778fc4553ae55be481d0955d4496368f12594a390
Homepage: https://cran.r-project.org/package=shinyscreenshot
Description: CRAN Package 'shinyscreenshot' (Capture Screenshots of Entire Pages or Parts of Pages in 'Shiny')
 Capture screenshots in 'Shiny' applications. Screenshots can either be of
 the entire viewable page, or a specific section of the page. The captured
 image is automatically downloaded as a PNG image, or it can also be saved on
 the server. Powered by the 'html2canvas' JavaScript library.

Package: r-cran-shinysearchbar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinysearchbar_1.0.0-1.ca2004.1_all.deb
Size: 55012
MD5sum: 1e26fec30c27cde142d97c52bfdf877a
SHA1: de103f36bb7e444cc129e1ab5f42d9bf6851a2bf
SHA256: ac0c789bce1cdd9ae6939a4cf89ecf5dec253a01780e2c6af59b49832c6f0694
SHA512: 32571c5a2ea0d0f797f973b739900eedeb7bc285bb05cd4017e2d97dc892c3f4d238a6864f7919616802ef167a9eb22467e75e446efc7c1985bc0fe972486343
Homepage: https://cran.r-project.org/package=shinySearchbar
Description: CRAN Package 'shinySearchbar' (Shiny Searchbar - An Input Widget for Highlighting Text and More)
 Add a searchbar widget to your 'Shiny' application. The widget quickly
 integrates with any existing element containing text to highlight matches.
 Highlighting is done with the 'JavaScript' library 'mark.js'. The widget
 includes buttons to cycle through multiple instances of the match and
 automatically scroll to the matches in an overflow element (or window). The
 widget also displays the total number of matches and which match is
 currently being cycled through. The widget is structured as a 'Bootstrap 3'
 input group.

Package: r-cran-shinyselect
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2420
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fontawesome, r-cran-htmltools, r-cran-reactr
Suggests: r-cran-bslib, r-cran-jstreer, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinyselect_1.3.0-1.ca2004.1_all.deb
Size: 1091680
MD5sum: 7a670fda844f92542bdc6520540d415d
SHA1: 3e45a43616543cb92ded8aa265d55e8a70f056e5
SHA256: eaf2a9f9b3fd02b88d0e0fdf67ed5b0a73dd376e55c17d6d31e99b961dc86f21
SHA512: 4ecc2b4968f9d3df691108e16cd21b920b106fd0521e285ed1192377d72a79c1c4759b92f7d620b67758a8cdc6c91517d5326232bfdffc6ea4454f360e15bf36
Homepage: https://cran.r-project.org/package=shinySelect
Description: CRAN Package 'shinySelect' (A Wrapper of the 'react-select' Library)
 Provides a select control widget for 'Shiny'. It is easily customizable, and
 one can easily use HTML in the items and KaTeX to type mathematics.

Package: r-cran-shinyservicebot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 293
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-digest, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinyservicebot_0.1.0-1.ca2004.1_all.deb
Size: 176064
MD5sum: 3be6adb672b7c581fd5d4d2a7a6c8169
SHA1: 681d9312ca4289ec2b5eaad9840bfcfdeb9a7793
SHA256: 3d086cabc2de321fe6b5dd4ffcf7148892b9425416671e46e87a7cdc6446283b
SHA512: 9a08de18d4e0bfa4b16be2b474e68b08ac0d45c2f46a593b8ed5ae1dd7d524e96816502c77f5495f355e9f2bc56ddda0d1fb02aaa6a4d6ceaee6f843d6cf7f89
Homepage: https://cran.r-project.org/package=shinyservicebot
Description: CRAN Package 'shinyservicebot' (Servicebot 'Shiny' Integration)
 Create in-app purchasing and subscriptions through 'Servicebot' payment
 using the 'Stripe' framework.

Package: r-cran-shinyshortcut
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinyshortcut_0.1.0-1.ca2004.1_all.deb
Size: 23660
MD5sum: efa3b8903554e08cc46984eda6525bc7
SHA1: db435a5da8035f536bd0b9ce72d3890ee2c4c270
SHA256: f2818fa8b8b7e015a86414b30d3220eaf3893562fd8d75c781aee3eee326a55c
SHA512: 367a41a8266867ce43c2866d8f89e0ab19ca42425bb1b4620ab0f9dcdfb8e9af60b1824c24674e2e892c71e651b0c32d97df9d2d0849cd74b75dfa30afbdbfd5
Homepage: https://cran.r-project.org/package=shinyShortcut
Description: CRAN Package 'shinyShortcut' (Creates an Executable Shortcut for Shiny Applications)
 Provides function shinyShortcut() that, when given the base directory of a
 shiny application, will produce an executable file that runs the shiny app
 directly in the user's default browser. Tested on both windows and unix
 machines. Inspired by and borrowing from
 <http://www.mango-solutions.com/wp/2017/03/shiny-based-tablet-or-desktop-app/>.

Package: r-cran-shinysir
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 854
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-shiny, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinysir_0.1.2-1.ca2004.1_all.deb
Size: 572220
MD5sum: 34a3bc5d1c55b3bc78a41d16d3342e2c
SHA1: a601324a6bee7523a36cb2dabeb7a2ff9ad8dfba
SHA256: 740900dae940e4b150dd388cf2128cf59581667e038f7f8cfb12fb39ae0f2a03
SHA512: 3f7be78509f302eb5c772711598efd7d137731d7ecfa24c4c16e2e918293ef0d1a5a5fd7962f67246a52617120fc2fa4f3262c005fa34b03b921c3fd96c23159
Homepage: https://cran.r-project.org/package=shinySIR
Description: CRAN Package 'shinySIR' (Interactive Plotting for Mathematical Models of InfectiousDisease Spread)
 Provides interactive plotting for mathematical models of infectious disease
 spread. Users can choose from a variety of common built-in ordinary
 differential equation (ODE) models (such as the SIR, SIRS, and SIS models),
 or create their own. This latter flexibility allows 'shinySIR' to be applied
 to simple ODEs from any discipline. The package is a useful teaching tool as
 students can visualize how changing different parameters can impact model
 dynamics, with minimal knowledge of coding in R. The built-in models are
 inspired by those featured in Keeling and Rohani (2008)
 <doi:10.2307/j.ctvcm4gk0> and Bjornstad (2018)
 <doi:10.1007/978-3-319-97487-3>.

Package: r-cran-shinystan
Architecture: all
Version: 2.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1685
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-bayesplot, r-cran-colourpicker, r-cran-dt, r-cran-dygraphs, r-cran-ggplot2, r-cran-gridextra, r-cran-gtools, r-cran-markdown, r-cran-reshape2, r-cran-rstan, r-cran-shinythemes, r-cran-threejs, r-cran-xtable, r-cran-xts
Suggests: r-cran-coda, r-cran-knitr, r-cran-posterior, r-cran-rmarkdown, r-cran-rsconnect, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinystan_2.6.0-1.ca2004.1_all.deb
Size: 1322020
MD5sum: 88ecbe52fd3e1a1b1f60c893aba9dcc2
SHA1: b8b345998556f33f53007208270d496f55515bbd
SHA256: 590009ad7ef8d628827b2c3be069b5069607e0b7a5ef083d974fdd76a5762c20
SHA512: ff0699efc18e3b57949e7e534d2fcbf9c07a9efcc7ede42b25210bc1994a615d6531b6e9fa2a0d63abcaae569267f8d6aede2b4ae0929e2e5e5608df54ed2359
Homepage: https://cran.r-project.org/package=shinystan
Description: CRAN Package 'shinystan' (Interactive Visual and Numerical Diagnostics and PosteriorAnalysis for Bayesian Models)
 A graphical user interface for interactive Markov chain Monte Carlo (MCMC)
 diagnostics and plots and tables helpful for analyzing a posterior sample.
 The interface is powered by the 'Shiny' web application framework from
 'RStudio' and works with the output of MCMC programs written in any
 programming language (and has extended functionality for 'Stan' models fit
 using the 'rstan' and 'rstanarm' packages).

Package: r-cran-shinystoreplus
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-jsonlite, r-cran-htmltools, r-cran-shinywidgets
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-shinystoreplus_1.6-1.ca2004.1_all.deb
Size: 109616
MD5sum: 6d13929ff7bd508caf4989f8dadda986
SHA1: ec22716a3c56560569ad26c7138d50e88af4a830
SHA256: 05b17e9bebb0f4d7d3108704e7c877194d6fd9c5122a9cde8af13293cb6df1fb
SHA512: 92786c01f09a18d82782b8bb8b46e660fed7458288ab2c8db52f09cea053a0ab16a6d6d7fa05e35da2e481fa22b05dd4a8e82ac898cf0c2b7803726931d982a0
Homepage: https://cran.r-project.org/package=shinyStorePlus
Description: CRAN Package 'shinyStorePlus' (Secure in-Browser and Database Storage for 'shiny' Inputs,Outputs, Views and User Likes)
 Store persistent and synchronized data from 'shiny' inputs within the
 browser. Refresh 'shiny' applications and preserve user-inputs over multiple
 sessions. A database-like storage format is implemented using 'Dexie.js'
 <https://dexie.org>, a minimal wrapper for 'IndexedDB'. Transfer browser
 link parameters to 'shiny' input or output values. Store app visitor views,
 likes and followers.

Package: r-cran-shinysurveys
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 920
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-sass, r-cran-htmltools, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-shinysurveys_0.2.0-1.ca2004.1_all.deb
Size: 530960
MD5sum: 3020f499af1f9b34bd309f36bf8a08e9
SHA1: 233f369be3db62c4c7f3ebed103e3beea642b5e8
SHA256: 2bf1e4f9666827e29502b9b3e8cbe81c07e1bac5414d0c5c58f15b32c6a4397c
SHA512: 0b56c2005b58d9006861ef9bd51c468860704e4ec7ffa8ac41147295fac54d6ceb628f7d47caaa2f12fd067c5f6d4d9e1e913ac1f88111fbccd086480e976e63
Homepage: https://cran.r-project.org/package=shinysurveys
Description: CRAN Package 'shinysurveys' (Create and Deploy Surveys in 'Shiny')
 Easily create and deploy surveys in 'Shiny'. This package includes a
 minimalistic framework similar to 'Google Forms' that allows for url-based
 user tracking, customizable submit actions, easy survey-theming, and more.

Package: r-cran-shinytempsignal
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-forecast, r-cran-ggplot2, r-cran-ggprism, r-cran-ggpmisc, r-bioc-ggtree, r-cran-golem, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinywidgets, r-bioc-treeio, r-cran-yulab.utils, r-cran-nlme
Suggests: r-cran-attempt, r-cran-conflicted, r-cran-config, r-cran-glue, r-cran-htmltools, r-cran-knitr, r-cran-prettydoc, r-cran-processx, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinytempsignal_0.0.8-1.ca2004.1_all.deb
Size: 804792
MD5sum: da84396613789e3c43918e6c02720092
SHA1: 5ad3b86f92cf8880371bddeb9634c712de826ddb
SHA256: d61bbedd7e010222efce7515007a81a8e6f80dd87ecd6d7cb103eb08a39952f9
SHA512: 273e3cfe2ac58b464178f306b8c526836149958171c58ec4be14c4c9689641f40e9b18bd691037f9c6f659fd773ff2a62f50c7112aeb414f1e7c4c87e50d9ddd
Homepage: https://cran.r-project.org/package=shinyTempSignal
Description: CRAN Package 'shinyTempSignal' (Explore Temporal and Other Phylogenetic Signals)
 Sequences sampled at different time points can be used to infer molecular
 phylogenies on natural time scales, but if the sequences records inaccurate
 sampling times, that are not the actual sampling times, then it will affect
 the molecular phylogenetic analysis. This shiny application helps exploring
 temporal characteristics of the evolutionary trees through linear regression
 analysis and with the ability to identify and remove incorrect labels. The
 method was extended to support exploring other phylogenetic signals under
 strict and relaxed models.

Package: r-cran-shinytest
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 762
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-callr, r-cran-crayon, r-cran-debugme, r-cran-digest, r-cran-htmlwidgets, r-cran-httpuv, r-cran-httr, r-cran-jsonlite, r-cran-parsedate, r-cran-pingr, r-cran-r6, r-cran-rematch, r-cran-rlang, r-cran-rstudioapi, r-cran-shiny, r-cran-testthat, r-cran-webdriver, r-cran-withr
Suggests: r-cran-flexdashboard, r-cran-globals, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shinytest_1.6.1-1.ca2004.1_all.deb
Size: 389304
MD5sum: 52a310317c86777f7809db0509576520
SHA1: eb4e840dc0a006af2ec06029315bbf9ab5852293
SHA256: c473a02d0187aea286349cc45b32885dad6b2fd6911273f5ffffc7c20a481e0e
SHA512: 79c6e91d46b990f2bb94b647de29e98480eabda9ef932f4003fe199ee003afee9df712bd9e4c0028908e112ea6878b0863913e132bdd30010be30c7805f61745
Homepage: https://cran.r-project.org/package=shinytest
Description: CRAN Package 'shinytest' (Test Shiny Apps)
 Please see the 'shinytest' to 'shinytest2' migration guide at
 <https://rstudio.github.io/shinytest2/articles/z-migration.html>.

Package: r-cran-shinytester
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-shinytester_0.1.0-1.ca2004.1_all.deb
Size: 24088
MD5sum: fb6ae3b3784d9328bb95ad07df3dab5d
SHA1: 071eafe3a971ec8dc76ab04ca1824f2dee5ea106
SHA256: f9dba17fd2f16f165d57459c0997ae20c58b53eae364c5626b3ba2eac1bde5f2
SHA512: 45023b02ebb6e199f9e330a0d98e454bcb58c17a122fc637fe3ed16b5c878a0ae83b134ea59c7b4b894f57445210e90a749f4dde6a5d05d1140bfd86508febaf
Homepage: https://cran.r-project.org/package=ShinyTester
Description: CRAN Package 'ShinyTester' (Functions to Minimize Bonehead Moves While Working with 'shiny')
 It's my experience that working with 'shiny' is intuitive once you're into
 it, but can be quite daunting at first. Several common mistakes are fairly
 predictable, and therefore we can control for these. The functions in this
 package help match up the assets listed in the UI and the SERVER files, and
 Visualize the ad hoc structure of the 'shiny' App.

Package: r-cran-shinythemes
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinythemes_1.2.0-1.ca2004.1_all.deb
Size: 536388
MD5sum: 605857d49170e3561b1212d2c671ef79
SHA1: 1325bddc537bbf47bd6ddfcde10beeb483d3a460
SHA256: bccc4795f12f11765b6289dbefd0dc440f78107b2c19608b9c325eecb97fe7bb
SHA512: b7900bc7c056c3bf8f188f2e55b1eab051b26308212dfeac20309b7724317a43c87c37ca1a9d64d7065d3b98c853cb8c9e5aee20a5666fbf39c6ef58845f1672
Homepage: https://cran.r-project.org/package=shinythemes
Description: CRAN Package 'shinythemes' (Themes for Shiny)
 Themes for use with Shiny. Includes several Bootstrap themes from
 <https://bootswatch.com/>, which are packaged for use with Shiny
 applications.

Package: r-cran-shinytime
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-testthat, r-cran-spelling, r-cran-hms
Filename: pool/dists/focal/main/r-cran-shinytime_1.0.3-1.ca2004.1_all.deb
Size: 41396
MD5sum: 04b769702293a7611d022dd7ca2e7fef
SHA1: 8dfe1b9c73590198e23aea1326bb1971bd8d7526
SHA256: d05abc4820214d142446e0d9098a3603e8ea43e15ee7ea5cc4824c30d3a2ddb0
SHA512: 7f3bf760f454830e45253ec069fcd38182078242883bb51aebfb39feca65e18ff3657c502ebb3813af14b2e6fdbac515bf53578c03a0567e52db7d39c4f3bb3c
Homepage: https://cran.r-project.org/package=shinyTime
Description: CRAN Package 'shinyTime' (A Time Input Widget for Shiny)
 Provides a time input widget for Shiny. This widget allows intuitive time
 input in the '[hh]:[mm]:[ss]' or '[hh]:[mm]' (24H) format by using a
 separate numeric input for each time component. The interface with R uses
 date-time objects. See the project page for more information and examples.

Package: r-cran-shinytimer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-r6, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinytimer_0.1.0-1.ca2004.1_all.deb
Size: 111044
MD5sum: 24c19221858baf7c2d50f7a408960839
SHA1: bc96fddd5e97f66abe135d8b1480ff338752f9a4
SHA256: 0eea5f6a4ae91f8306dfeac6d653222e8d466e7ddbc5f1c066029777b110f763
SHA512: 845bd0feb803fd5741f79432a646aa7d298dfafb4acb199261bd4cef0d3804805b405a335b7d4ad2382318351924623fd048654b5bc14d3c35a106fb3a776b2c
Homepage: https://cran.r-project.org/package=shinyTimer
Description: CRAN Package 'shinyTimer' (Customizable Timer for 'shiny' Applications)
 Provides a customizable timer widget for 'shiny' applications. Key features
 include countdown and count-up mode, multiple display formats (including
 simple seconds, minutes-seconds, hours-minutes-seconds, and
 minutes-seconds-centiseconds), ability to pause, resume, and reset the
 timer. 'shinytimer' widget can be particularly useful for creating
 interactive and time-sensitive applications, tracking session times, setting
 time limits for tasks or quizzes, and more.

Package: r-cran-shinytitle
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinytitle_0.1.0-1.ca2004.1_all.deb
Size: 281460
MD5sum: 51e2f0c1b62430705bcadb3e969e8ef9
SHA1: 84d1fed34821b21d9d20bce4ef927df1e3a7a8c4
SHA256: c6929f9ca2c97ed638a8e9cf3203f6f7732057f89ed507f1de09ac1d717b6d37
SHA512: 12e5f392c3c5777b6d5799b75b5eae5fc15cc7976dad9151b1c3b358372ab2dbaff04b08226b9f1b01aa167bd6d4fe90a4001aa55ed3cb0a1270959dc3a68634
Homepage: https://cran.r-project.org/package=shinytitle
Description: CRAN Package 'shinytitle' (Update Browser Window Title in 'shiny' Session)
 Enables the ability to change or flash the title of the browser window
 during a 'shiny' session.

Package: r-cran-shinytoastify
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1037
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-reactr, r-cran-shiny, r-cran-fontawesome
Filename: pool/dists/focal/main/r-cran-shinytoastify_2.0.0-1.ca2004.1_all.deb
Size: 196788
MD5sum: a1bca5fd80b935f85a28268fa17820bf
SHA1: cb488efb22deab41e4b124f0c8ae49b09c469944
SHA256: 1a116eed2806a46adfd1ff17ef3a02049d5f7cb87c846d31913bbd965b04ea06
SHA512: a6dba00be2ec6374dcc53a64522fab634aad6fb8b86680e226ee636d5694f68442a7f54d6b30088d898b2dca6a8b81d824f591ed4d43951d0d2c2f201226aa37
Homepage: https://cran.r-project.org/package=shinyToastify
Description: CRAN Package 'shinyToastify' (Pretty Notifications for 'Shiny')
 This is a wrapper of the 'React' library 'React-Toastify'. It allows to show
 some notifications (toasts) in 'Shiny' applications. There are options for
 the style, the position, the transition effect, and more.

Package: r-cran-shinytoastr
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinytoastr_2.2.0-1.ca2004.1_all.deb
Size: 81848
MD5sum: fc2d45f60784978795fc3b40e5f95228
SHA1: fe717bf3333e5f1c08cb3635b1eaedb4bcac5637
SHA256: 8c82d3a7597923c2088c29d7e739cc2de0eb569cb0e3dc466c5db4ef5692ae51
SHA512: c6cdb5ad7d3801e8ccb5fa4a30ee8f3bd65ebe6af7271ce7860a68a921579b06bd71d1b5ef2405597af21d6c659820a1c414dfc8c233a832cb9d5c7aeafa100c
Homepage: https://cran.r-project.org/package=shinytoastr
Description: CRAN Package 'shinytoastr' (Notifications from 'Shiny')
 Browser notifications in 'Shiny' apps, using 'toastr':
 <https://github.com/CodeSeven/toastr#readme>.

Package: r-cran-shinytree
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1696
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-stringr, r-cran-promises
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-data.tree
Filename: pool/dists/focal/main/r-cran-shinytree_0.3.1-1.ca2004.1_all.deb
Size: 503864
MD5sum: 6f3f304e8a4eeb7b6d4a5c28dd99a3df
SHA1: f4782e8baaf8e958f40e1c81c96c587f1bc41b57
SHA256: f19c208823f1f081b6042998d337b92c81fa6c1c26bb8903e230edfe27bd71ce
SHA512: 4d26280932ba3c8fb2233e131de6ac4f71850bc71968c44bd3557be6542179a7a2cdf17cdfa833af55c623b02c9f1b65485ac32feaaee74036131cac767bfc18
Homepage: https://cran.r-project.org/package=shinyTree
Description: CRAN Package 'shinyTree' (jsTree Bindings for Shiny)
 Exposes bindings to jsTree -- a JavaScript library that supports interactive
 trees -- to enable a rich, editable trees in Shiny.

Package: r-cran-shinyvalidate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-rlang, r-cran-glue
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-shinyvalidate_0.1.3-1.ca2004.1_all.deb
Size: 175964
MD5sum: c55bc77b1ac2c7201a0c694deb1fd911
SHA1: 9fb94048f680c150871119bef45eff6baf07ebe2
SHA256: c23eb0464d9bee909cc2afcda8e73c2670efb2fd6d3da60bfac202a107aa51e3
SHA512: 82ea019199cb7f954f2c48b6223cda015e6384915b512aaac4b527579e37e37fa6d0f133b245f87b96b57eb8a8f49e317a72ef274a663def64eb0461644aa5e9
Homepage: https://cran.r-project.org/package=shinyvalidate
Description: CRAN Package 'shinyvalidate' (Input Validation for Shiny Apps)
 Improves the user experience of Shiny apps by helping to provide feedback
 when required inputs are missing, or input values are not valid.

Package: r-cran-shinywgd
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3015
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinyalert, r-cran-stringr, r-cran-vroom, r-cran-fs, r-cran-tidyr, r-cran-data.table, r-cran-dplyr, r-cran-ape, r-cran-ks, r-cran-mclust, r-cran-htmltools, r-cran-seqinr, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-tidyverse, r-cran-knitr, r-cran-rmarkdown, r-cran-dt, r-cran-argparse, r-cran-bslib, r-cran-bsplus, r-cran-english, r-cran-fontawesome, r-cran-igraph, r-cran-shinybs, r-cran-shinyfiles, r-cran-shinywidgets, r-cran-shinyjs, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shinywgd_1.0.0-1.ca2004.1_all.deb
Size: 882256
MD5sum: edca36e592ed09e8d1e3f41a2b79dc54
SHA1: 148587ebc35de0843540753d2a87c0faf161ca53
SHA256: 1537dca7e2acc05030b97120356c4877a4be486af3c4f90c9dd268964f3671b3
SHA512: 66c3cf13076968b9a36caf68d2ca808e87c541a4327f64522a05f9ef10efa630e556ce673843cef3a15bb505d8430dcf9fb191f1bec07799356b4e16ec284bfe
Homepage: https://cran.r-project.org/package=shinyWGD
Description: CRAN Package 'shinyWGD' ('Shiny' Application for Whole Genome Duplication Analysis)
 Provides a comprehensive 'Shiny' application for analyzing Whole Genome
 Duplication ('WGD') events.  This package provides a user-friendly 'Shiny'
 web application for non-experienced researchers to prepare input data and
 execute command lines for several well-known 'WGD' analysis tools, including
 'wgd', 'ksrates', 'i-ADHoRe', 'OrthoFinder', and 'Whale'. This package also
 provides the source code for experienced researchers to adjust and install
 the package to their own server.  Key Features 1) Input Data Preparation
 This package allows users to conveniently upload and format their data,
 making it compatible with various 'WGD' analysis tools.  2) Command Line
 Generation This package automatically generates the necessary command lines
 for selected 'WGD' analysis tools, reducing manual errors and saving time.
 3) Visualization This package offers interactive visualizations to explore
 and interpret 'WGD' results, facilitating in-depth 'WGD' analysis.  4)
 Comparative Genomics Users can study and compare 'WGD' events across
 different species, aiding in evolutionary and comparative genomics studies.
 5) User-Friendly Interface This 'Shiny' web application provides an
 intuitive and accessible interface, making 'WGD' analysis accessible to
 researchers and 'bioinformaticians' of all levels.

Package: r-cran-shinywidgets
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-sass, r-cran-shiny, r-cran-htmltools, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-ggplot2, r-cran-dt, r-cran-scales, r-cran-shinydashboard, r-cran-shinydashboardplus
Filename: pool/dists/focal/main/r-cran-shinywidgets_0.9.0-1.ca2004.1_all.deb
Size: 1233736
MD5sum: dd2f6d5e4930f3b75e684b983219968d
SHA1: aa6528b9453b52671bfbcfeb3f107cb8e9ffe9d3
SHA256: b8a9bc6de1cffc1a9f52f3691269a6c9702b685af1e4825f245a4aee0f545b63
SHA512: 9f051367068a1a1050223a7cf9e79a7b96df6b14f44f3a706da0dbb05248ce9e8e99ca3ff1ce121800b37c9249a9598b8800c6ef3003b89fed0e2b3b2a27365a
Homepage: https://cran.r-project.org/package=shinyWidgets
Description: CRAN Package 'shinyWidgets' (Custom Inputs Widgets for Shiny)
 Collection of custom input controls and user interface components for
 'Shiny' applications.  Give your applications a unique and colorful style !

Package: r-cran-shinywizard
Architecture: all
Version: 1.1.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3349
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-devtools, r-cran-shinythemes, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-shinyjs, r-cran-yaml, r-cran-readr, r-cran-stringr, r-cran-bslib, r-cran-reshape2, r-cran-shinytest2
Filename: pool/dists/focal/main/r-cran-shinywizard_1.1.3.11-1.ca2004.1_all.deb
Size: 610996
MD5sum: 3092b106760eb6be77b29f320d09cd52
SHA1: c0c63bce7a1f7fedc2f011e075b052809351da4a
SHA256: 869296582d645a2fc5548913eff5d497a10bb9b5d81db122ce28f63bd49d3578
SHA512: 80ad53d5d8d7abf4c30b84535dbf50a4fdb5c935d1021a0d2007c87950e9efc2a658e77502b1cdd2af0be24ed54e22d88110e1608d4fe58b8037298e3b7640f6
Homepage: https://cran.r-project.org/package=ShinyWizard
Description: CRAN Package 'ShinyWizard' (An Interactive Wizard to Design, Build, and Deploy R PackagesDemo Presentation)
 Design, build, and deploy R packages demo presentations by an interactive
 wizard. Set up unique title, logo and themes. Add personalized tabs exposing
 applicability. And deploy as a part of a package or an independent app.

Package: r-cran-shinyxypad
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-shinyxypad_0.2.0-1.ca2004.1_all.deb
Size: 24456
MD5sum: 677c7c516ec4a05c0c1ae5947a3aaa81
SHA1: e72af119446206e1560101e7a72415e4cf4b885c
SHA256: 1b36846af982b36715197f21adff0dcd5c6132fb28425c366e2c60a5c3dabd9a
SHA512: ff9b2ef4d87012e6e2a4aa106b6ca9c1036c2302f9bc8be6aa4b6d9dedec04d7d891c5b79bc63f4629b0fa94680e0ef6c2f16cec094b5415e166df5848d95bfa
Homepage: https://cran.r-project.org/package=shinyXYpad
Description: CRAN Package 'shinyXYpad' (XY Controller for 'Shiny')
 Provides an XY pad input for the 'Shiny' framework. An XY pad is like a
 bivariate slider. It allows to pick up a pair of numbers.

Package: r-cran-ship
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ship_2.0.3-1.ca2004.1_all.deb
Size: 130628
MD5sum: a879628381803bee1c796af4dec2c361
SHA1: de30a20ac044bcdf408eee491a1587ab55ac2a33
SHA256: 1a3aee5596b134cade392a95ef6b57cede0deca096110350200d07cec811746e
SHA512: 2da0235dbc6cf8b0a306804c68f0765ea3b729a2546389071541ebc67b6408ff9cc50fc6b26d559818fa1333c54464877758b08017be0470755f4c2a9ee78050
Homepage: https://cran.r-project.org/package=SHIP
Description: CRAN Package 'SHIP' (Shrinkage Covariance Incorporating Prior Knowledge)
 Implements estimation methods for shrinkage covariance matrices using
 user-specified covariance targets. The covariance target is a structured
 matrix towards which the unbiased sample covariance is shrunk, optionally
 incorporating prior knowledge. Shrinkage intensity is computed analytically.
 The method is described and applied to microarray gene expression data in
 Jelizarow et al. (2010) <doi:10.1093/bioinformatics/btq323>.

Package: r-cran-shipunov
Architecture: all
Version: 1.17.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 795
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pbsmapping
Suggests: r-cran-apcluster, r-cran-ape, r-cran-class, r-cran-cluster, r-cran-dbscan, r-cran-e1071, r-cran-effsize, r-cran-ips, r-cran-kernlab, r-cran-mass, r-cran-mclust, r-cran-meanshiftr, r-cran-nnet, r-cran-phangorn, r-cran-randomforest, r-cran-rpart, r-cran-smirnov, r-cran-statmatch, r-cran-tapkee, r-cran-tree, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-shipunov_1.17.1-1.ca2004.1_all.deb
Size: 732224
MD5sum: 589b47b16104521e9de371b5e87d1fc6
SHA1: ea85b7660bc58caf3c0323144f5df62849b89d0b
SHA256: dbb640d621e9b71825201afed3caccc1d1799b0eafe411e446f9e5ab2a840cc9
SHA512: f92820bfcbec5b3f37929b729df7f6baa90eaea025e87e1624937f838669224ed805d3955379e1187768f7afb87fede1f0a6e1194aeb630764808286f4358917
Homepage: https://cran.r-project.org/package=shipunov
Description: CRAN Package 'shipunov' (Miscellaneous Functions from Alexey Shipunov)
 A collection of functions for data manipulation, plotting and statistical
 computing, to use separately or with the book "Visual Statistics. Use R!":
 Shipunov (2020) <http://ashipunov.info/shipunov/software/r/r-en.htm>.  Dr
 Alexey Shipunov died in December 2022.  Most useful functions: Bclust(),
 Jclust() and BootA() which bootstrap hierarchical clustering; Recode() which
 does multiple recoding in a fast, simple and flexible way; Misclass() which
 outputs confusion matrix even if classes are not concerted; Overlap() which
 measures group separation on any projection; Biarrows() which converts any
 scatterplot into biplot; and Pleiad() which is fast and flexible
 correlogram.

Package: r-cran-shock
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-mvtnorm, r-cran-capushe, r-cran-ggmselect, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-shock_1.0-1.ca2004.1_all.deb
Size: 56396
MD5sum: 6d78526268ed3c5eb5ad19ef0bd67cd3
SHA1: 85e32d3f88c942202550089eef73d78c7a65bee5
SHA256: 809b63ac3ed7fa834d1b3a364fc43adb38e36361a134ac5425942878d34bf52c
SHA512: 29800267696124c41cf534506f370026d89c1208def3191edca249f1546365048abd42f30cb1e63e687288c68a2e8b8714b69562b61908dbe1e48b64eade6268
Homepage: https://cran.r-project.org/package=shock
Description: CRAN Package 'shock' (Slope Heuristic for Block-Diagonal Covariance Selection in HighDimensional Gaussian Graphical Models)
 Block-diagonal covariance selection for high dimensional Gaussian graphical
 models. The selection procedure is based on the slope heuristics.

Package: r-cran-shopifyadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-shopifyadsr_0.1.0-1.ca2004.1_all.deb
Size: 22232
MD5sum: 0811e6210742d8cca20e5911bab42103
SHA1: 240596a8ebe18df806290f8343ab5f9943fb03fb
SHA256: fde881150b4ca46c9302cfdc44f9ed1a57c12e918a244566260e4fb704f7d90a
SHA512: a8dc6eecfc1681de7b6e285d9cf112dee1a89814eb9095b3d25bfe0056f31ef7421cff11bf2c9a4968281382fdcc0aa0584410c447bddd9303d6b665a0e0cfff
Homepage: https://cran.r-project.org/package=shopifyadsR
Description: CRAN Package 'shopifyadsR' (Get 'Shopify' Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Shopify' Ads using
 the 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-shopifyr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-curl, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-shopifyr_1.0.0-1.ca2004.1_all.deb
Size: 317108
MD5sum: 0e3165502088aa36d7a39e3a1b4cf775
SHA1: c9c6c9c444060066d031f8bc838c25bae90ca95e
SHA256: 60ce474da9cc562d3f0a086b634d479ca987e00fefc23bb8c7272812ac8813ac
SHA512: 8bb1e91573ece66cd03e9d1fe60ce8368d17896eb2ec7a4dfd20ea699a6eb68a237a8b3b6bfabca5be91def03849490d005ba92f8db3cb83be10aa264a719bf0
Homepage: https://cran.r-project.org/package=shopifyr
Description: CRAN Package 'shopifyr' (An R Interface to the Shopify API)
 An interface to the Admin API of the E-commerce service Shopify,
 (<https://help.shopify.com/en/api/reference>).

Package: r-cran-shoredate
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2307
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggridges, r-cran-ggspatial, r-cran-sf, r-cran-terra
Suggests: r-cran-covr, r-cran-elevatr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-rnaturalearth
Filename: pool/dists/focal/main/r-cran-shoredate_1.1.1-1.ca2004.1_all.deb
Size: 1543452
MD5sum: 37b0e65aa8fcb90ccfe799d473a9d44e
SHA1: e7c976c998f8d0e7786787fabec44e76e9b73ee8
SHA256: 24cc47ee97f5ea974d0b283ee750e38d06d390cfaf204de9edf60f195cbf1179
SHA512: 14e5fe0ebbbe80412cde761a3515c9e4acb5d1d1a87d9e0e51cccfdfa740c029cbcf04216b62043017f9c5a70789905bff0978863a620c24a40d0f2b8af62788
Homepage: https://cran.r-project.org/package=shoredate
Description: CRAN Package 'shoredate' (Shoreline Dating Coastal Stone Age Sites)
 Provides tools for shoreline dating coastal Stone Age sites. The implemented
 method was developed in Roalkvam (2023)
 <doi:10.1016/j.quascirev.2022.107880> for the Norwegian Skagerrak coast.
 Although it can be extended to other areas, this also forms the core area
 for application of the package. Shoreline dating is based on the present-day
 elevation of a site, a reconstruction of past relative sea-level change, and
 empirically derived estimates of the likely elevation of the sites above the
 contemporaneous sea-level when they were in use. The geographical and
 temporal coverage of the method thus follows from the availability of local
 geological reconstructions of shoreline displacement and the degree to which
 the settlements to be dated have been located on or close to the shoreline
 when they were in use. Methods for numerical treatment and visualisation of
 the dates are provided, along with basic tools for visualising and
 evaluating the location of sites.

Package: r-cran-shortcuts
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-shortcuts_1.4.0-1.ca2004.1_all.deb
Size: 77672
MD5sum: 69bfcd6c706d72a090e59e876fca52ce
SHA1: b2b4578544f208e0c96199d243063249c85fdcb2
SHA256: f1f4fa242dca226c0ce3918284ac7264d106cd2573bdb59fba73d8ffa0318442
SHA512: d3323a7294815e38882f598dcd5c6aa0e7d5b28d593681ba847a4167944b14d696bff5f50e275208f4c3596f2128015319c5cfa264cfb8df4aef30a061a1b866
Homepage: https://cran.r-project.org/package=shortcuts
Description: CRAN Package 'shortcuts' (Useful Shortcuts to Interact with 'RStudio' Scripts)
 Integrates clipboard copied data in R Studio, loads and installs libraries
 within a R script and returns all valid arguments of a selected function.

Package: r-cran-shortform
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan, r-cran-ggplot2, r-cran-ggrepel, r-cran-tidyr, r-cran-stringr, r-cran-dosnow, r-cran-foreach
Suggests: r-cran-knitr, r-cran-mplusautomation, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shortform_0.5.6-1.ca2004.1_all.deb
Size: 388536
MD5sum: 8d24aa75839530d6d75e2ccdb1e6dd20
SHA1: 054051323d2223ef8b224634cadf32fc1bec3dc9
SHA256: 13c0a6a9a995af05dafb614041f9ca0534311ba790d211b6c9c2907133a72e4b
SHA512: a4046fd444ed575800a9c9f483b68309d3882a6de5952252e29a5abbaf14638c747ab533a8eedc770a47a94b21a4eda2c19ff83125b37980ace26de295e70a6f
Homepage: https://cran.r-project.org/package=ShortForm
Description: CRAN Package 'ShortForm' (Automatic Short Form Creation)
 Performs automatic creation of short forms of scales with an ant colony
 optimization algorithm and a Tabu search. As implemented in the package, the
 ant colony algorithm randomly selects items to build a model of a specified
 length, then updates the probability of item selection according to the fit
 of the best model within each set of searches. The algorithm continues until
 the same items are selected by multiple ants a given number of times in a
 row. On the other hand, the Tabu search changes one parameter at a time to
 be either free, constrained, or fixed while keeping track of the changes
 made and putting changes that result in worse fit in a "tabu" list so that
 the algorithm does not revisit them for some number of searches.  See Leite,
 Huang, & Marcoulides (2008) <doi:10.1080/00273170802285743> for an applied
 example of the ant colony algorithm, and Marcoulides & Falk (2018)
 <doi:10.1080/10705511.2017.1409074> for an applied example of the Tabu
 search.

Package: r-cran-shortirt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tam, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-sirt, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-shortirt_0.1.3-1.ca2004.1_all.deb
Size: 86080
MD5sum: 7ecba7285b14530b57b8569f399b9666
SHA1: 6101a737a52ddb2f4c9c4888ec1dba4d3d808f96
SHA256: 5da3ab6ad82ef31c643c970762dc683c8bb0548ac3abaac12e2a81de6c1b8be6
SHA512: 0249ac37c424897902308f0e05d888908f3916f81ef211b3f0644e46b059b6a3f7a8bc6f1ce6870a28bc2c36cd81b616e1291339be8e960911b825a320e4c725
Homepage: https://cran.r-project.org/package=shortIRT
Description: CRAN Package 'shortIRT' (Procedures Based on Item Response Theory Models for theDevelopment of Short Test Forms)
 Implement different Item Response Theory (IRT) based procedures for the
 development of static short test forms (STFs) from a test. Two main
 procedures are considered, specifically the typical IRT-based procedure for
 the development of STF, and a recently introduced procedure (Epifania,
 Anselmi & Robusto, 2022 <doi:10.1007/978-3-031-27781-8_7>).  The procedures
 differ in how the most informative items are selected for the inclusion in
 the STF, either by considering their item information functions without
 considering any specific level of the latent trait (typical procedure) or by
 considering their informativeness with respect to specific levels of the
 latent trait, denoted as theta targets (the newly introduced procedure).
 Regarding the latter procedure, three methods are implemented for the
 definition of the theta targets: (i) theta targets are defined by segmenting
 the latent trait in equal intervals and considering the midpoint of each
 interval (equal interval procedure, eip), (ii) by clustering the latent
 trait to obtain unequal intervals and considering the centroids of the
 clusters as the theta targets (unequal intervals procedure, uip), and (iii)
 by letting the user set the specific theta targets of interest (user-defined
 procedure, udp).  For further details on the procedure, please refer to
 Epifania, Anselmi & Robusto (2022) <doi:10.1007/978-3-031-27781-8_7>.

Package: r-cran-shortr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-shortr_1.0.1-1.ca2004.1_all.deb
Size: 26548
MD5sum: ffa09591d8b865ee85af6fb7e2718c69
SHA1: 13c93fa381c56225c9c58174ce866ba218134f75
SHA256: fa006ca6d46b8b1445b6ddded5d703a5c89e4350cdbbdb0936df71cac5e79775
SHA512: bc0dd7f56892c55e91a6c5f0113aa5eff97c5ce99efb01b8ec27b13d28e4a343dd8958426a9154b8672a5ec4eca10fcafdfcca4b4b3ee6f358d8e526e7a38de6
Homepage: https://cran.r-project.org/package=shortr
Description: CRAN Package 'shortr' (Optimal Subset Identification in Undirected Weighted NetworkModels)
 Identifies what optimal subset of a desired number of items should be
 retained in a short version of a psychometric instrument to assess the
 “broadest” proportion of the construct-level content of the set of items
 included in the original version of the said psychometric instrument.
 Expects a symmetric adjacency matrix as input (undirected weighted network
 model). Supports brute force and simulated annealing combinatorial search
 algorithms.

Package: r-cran-shorts
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4718
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lambertw, r-cran-tidyr, r-cran-ggplot2, r-cran-minpack.lm, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-shorts_3.2.0-1.ca2004.1_all.deb
Size: 3781124
MD5sum: a5be956562fd28cbe0cc3db3af918bbb
SHA1: ba1403d09101ea18b912b1b8844b39fceb03b316
SHA256: 7198a8409998462f715ef37f471bc2335f64950b6b0ff280069a03d185adadff
SHA512: a65e725109b7fd46a9b3076399973b134abad778450484ef2119c45329594680034fd53af10492718722e5caa2a4f44ba6784d07fad5e1dd33f0e5df7946d0ef
Homepage: https://cran.r-project.org/package=shorts
Description: CRAN Package 'shorts' (Short Sprints)
 Create short sprint acceleration-velocity (AVP) and force-velocity (FVP)
 profiles and predict kinematic and kinetic variables using the timing-gate
 split times, laser or radar gun data, tether devices data, as well as the
 data provided by the GPS and LPS monitoring systems. The modeling method
 utilized in this package is based on the works of Furusawa K, Hill AV,
 Parkinson JL (1927) <doi: 10.1098/rspb.1927.0035>, Greene PR. (1986) <doi:
 10.1016/0025-5564(86)90063-5>, Chelly SM, Denis C. (2001) <doi:
 10.1097/00005768-200102000-00024>, Clark KP, Rieger RH, Bruno RF, Stearne
 DJ. (2017) <doi: 10.1519/JSC.0000000000002081>, Samozino P. (2018) <doi:
 10.1007/978-3-319-05633-3_11>, Samozino P. and Peyrot N., et al (2022) <doi:
 10.1111/sms.14097>, Clavel, P., et al (2023) <doi:
 10.1016/j.jbiomech.2023.111602>, Jovanovic M. (2023) <doi:
 10.1080/10255842.2023.2170713>, and Jovanovic M., et al (2024) <doi:
 10.3390/s24092894>.

Package: r-cran-shotgroups
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2716
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-coin, r-cran-compquadform, r-cran-kernsmooth, r-cran-robustbase
Suggests: r-cran-knitr, r-cran-markdown, r-cran-energy, r-cran-mvoutlier, r-cran-shiny, r-cran-jsonlite, r-cran-interp, r-cran-mba, r-cran-bs4dash
Filename: pool/dists/focal/main/r-cran-shotgroups_0.8.2-1.ca2004.1_all.deb
Size: 1992640
MD5sum: ccf0e9d208544f84157b4a030f4cef2e
SHA1: 428e6eaea3ccbb2f7b1cc9e8153b8051d3495664
SHA256: 86ead05648576403b0b88413adca94eb03c85b0a9684c8fc131f3e932814c162
SHA512: 55e3ac177935ca2ef2a32571a5ed52bbb43c302fd47ef3a314b729eafc3689dd0f92dd80c99e501b076ec994d043de74d6bf2e25498cbd0ebcc6113d9ad87694
Homepage: https://cran.r-project.org/package=shotGroups
Description: CRAN Package 'shotGroups' (Analyze Shot Group Data)
 Analyzes shooting data with respect to group shape, precision, and accuracy.
 This includes graphical methods, descriptive statistics, and inference tests
 using standard, but also non-parametric and robust statistical methods.
 Implements distributions for radial error in bivariate normal variables.
 Works with files exported by 'OnTarget PC/TDS', 'Silver Mountain' e-target,
 'ShotMarker' e-target, or 'Taran', as well as with custom data files in text
 format.  Supports inference from range statistics such as extreme spread.
 Includes a set of web-based graphical user interfaces.

Package: r-cran-showimage
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-png
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-showimage_1.0.0-1.ca2004.1_all.deb
Size: 12484
MD5sum: 033d5d1fc848e7fc6c10867c630dc5f8
SHA1: 0f6286837665949d1981bd2cf058e54a29689aef
SHA256: 02fb38c7adaa78d796a297b7a909b06ebfbeb73ccd9bbf4d2d9a2e8ad510e594
SHA512: 8ead5a182d425a532d5e27779f9ff4e90daf97676ca30d3f975d3114fd1019d03ccc40b650383d499814443e5775aec31311386efbfde62e2f3707e81e478f09
Homepage: https://cran.r-project.org/package=showimage
Description: CRAN Package 'showimage' (Show an Image on an 'R' Graphics Device)
 Sometimes it is handy to be able to view an image file on an 'R' graphics
 device. This package just does that. Currently it supports 'PNG' files.

Package: r-cran-showtextdb
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sysfonts
Suggests: r-cran-curl
Filename: pool/dists/focal/main/r-cran-showtextdb_3.0-1.ca2004.1_all.deb
Size: 1972172
MD5sum: a113c8cf70828ab5d7caad83df9dc416
SHA1: 37226b86f517e21988b6c10bf219b4c2897ba139
SHA256: 87295d17d1548b083e6d2831f68caac1b9817dfb9d6fc6fc4727cfe22e7c8d05
SHA512: 732a9f47e1e0cbfc78e598bcd893756fa0af9285f73e5dedcd6b72fdb189c55f9f72d6c357735b4780e316d73672cb1013cb07e527636137888c94d86e2dd595
Homepage: https://cran.r-project.org/package=showtextdb
Description: CRAN Package 'showtextdb' (Font Files for the 'showtext' Package)
 Providing font files that can be used by the 'showtext' package.

Package: r-cran-shrink
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-rms, r-cran-mfp
Suggests: r-cran-aod, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shrink_1.2.3-1.ca2004.1_all.deb
Size: 156192
MD5sum: 3e9175504de488ddf5a4ba4ea6888927
SHA1: 9f99953f693fb7df70cd7aadba11c1727a4f823c
SHA256: 1b5eb68c763f5f3feb1b33d397c45d5316bc4d822afe04ced3b948c9551dbe2c
SHA512: 42756783ea879ff60df797ce6cef7ee846a8b74444cea138b69611c6f3ae35ed7da42eb7d28a86e328331abc3ee58ea50d5a2d97b7a4e197cde34957b6eb5764
Homepage: https://cran.r-project.org/package=shrink
Description: CRAN Package 'shrink' (Global, Parameterwise and Joint Shrinkage Factor Estimation)
 The predictive value of a statistical model can often be improved by
 applying shrinkage methods. This can be achieved, e.g., by regularized
 regression or empirical Bayes approaches. Various types of shrinkage factors
 can also be estimated after a maximum likelihood. While global shrinkage
 modifies all regression coefficients by the same factor, parameterwise
 shrinkage factors differ between regression coefficients. With variables
 which are either highly correlated or associated with regard to contents,
 such as several columns of a design matrix describing a nonlinear effect,
 parameterwise shrinkage factors are not interpretable and a compromise
 between global and parameterwise shrinkage, termed 'joint shrinkage', is a
 useful extension. A computational shortcut to resampling-based shrinkage
 factor estimation based on DFBETA residuals can be applied. Global,
 parameterwise and joint shrinkage for models fitted by lm(), glm(), coxph(),
 or mfp() is available.

Package: r-cran-shrinkem
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-extradistr, r-cran-brms, r-cran-cholwishart, r-cran-matrixcalc
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shrinkem_0.2.0-1.ca2004.1_all.deb
Size: 44392
MD5sum: 5dd44f66759e70de7736640d48e9797a
SHA1: 5744e959b60aba1d501957fbe87fff769fae7248
SHA256: ce83cc5d9cfdcc0d7a4129b8d0862804c432245d6bfc522178564e38b6553c1b
SHA512: ed87f8625bcbd28a12e41f2e8d842a1a3f627b07f03d6f763644a806d78ae756503c439d43e3c968bde725480969419d92797753e8884a0ce4510b6991e0b7ac
Homepage: https://cran.r-project.org/package=shrinkem
Description: CRAN Package 'shrinkem' (Approximate Bayesian Regularization for Parsimonious Estimates)
 Approximate Bayesian regularization using Gaussian approximations. The input
 is a vector of estimates and a Gaussian error covariance matrix of the key
 parameters. Bayesian shrinkage is then applied to obtain parsimonious
 solutions. The method is described on Karimova, van Erp, Leenders, and
 Mulder (2024) <DOI:10.31234/osf.io/2g8qm>. Gibbs samplers are used for model
 fitting. The shrinkage priors that are supported are Gaussian (ridge)
 priors, Laplace (lasso) priors (Park and Casella, 2008
 <DOI:10.1198/016214508000000337>), and horseshoe priors (Carvalho, et al.,
 2010; <DOI:10.1093/biomet/asq017>). These priors include an option for
 grouped regularization of different subsets of parameters (Meier et al.,
 2008; <DOI:10.1111/j.1467-9868.2007.00627.x>). F priors are used for the
 penalty parameters lambda^2 (Mulder and Pericchi, 2018
 <DOI:10.1214/17-BA1092>). This correspond to half-Cauchy priors on lambda
 (Carvalho, Polson, Scott, 2010 <DOI:10.1093/biomet/asq017>).

Package: r-cran-shrinkgpr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gsl, r-cran-progress, r-cran-rlang, r-cran-torch
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-shrinkgpr_1.0.0-1.ca2004.1_all.deb
Size: 133276
MD5sum: 7e3102fd91e9c3c7ef1ee74db0cf78b9
SHA1: 255d456e0ac1f9ba931cfd415871281aeb36be99
SHA256: 04e4998cbf5c27e305126214dfff72135d9d6459013b0979c6d92022730eac4a
SHA512: 014d6bdd6b6f1cd23b62eb55b35c1f3c7dc93f25343f9c1ff68c22bdd45af951faced46aff9c8300ea09a77bbe9e4215a1c864622870114de55168a838d84d5d
Homepage: https://cran.r-project.org/package=shrinkGPR
Description: CRAN Package 'shrinkGPR' (Scalable Gaussian Process Regression with Hierarchical ShrinkagePriors)
 Efficient variational inference methods for fully Bayesian Gaussian Process
 Regression (GPR) models with hierarchical shrinkage priors, including the
 triple gamma prior for effective variable selection and covariance shrinkage
 in high-dimensional settings. The package leverages normalizing flows to
 approximate complex posterior distributions. For details on implementation,
 see Knaus (2025) <doi:10.48550/arXiv.2501.13173>.

Package: r-cran-shroomdk
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-shroomdk_0.3.0-1.ca2004.1_all.deb
Size: 33588
MD5sum: 46d5cb0a38e95a5ebd463181346e39b0
SHA1: c43b6431cf4a040f6a1beedeacda76790ce426e2
SHA256: eb7eb63569307980e0f05e073088ef6ddc16097441803a2160e98a49a9e35958
SHA512: 1f50bf4c4bc5d0d6884fdda9bcd98ead046385788244928e4f9786317e4c370591cbcee9078b1f87fd09d960b1c92db7d9d98ab10f324dc5be4c6f0eaee9b7f0
Homepage: https://cran.r-project.org/package=shroomDK
Description: CRAN Package 'shroomDK' (Accessing the Flipside Crypto ShroomDK API)
 Programmatic access to Flipside Crypto data via the Compass RPC API:
 <https://api-docs.flipsidecrypto.xyz/>. As simple as auto_paginate_query()
 but with core functions as needed for troubleshooting. Note, 0.1.1 support
 deprecated 2023-05-31.

Package: r-cran-shuffle
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-shuffle_1.0.1-1.ca2004.1_all.deb
Size: 244664
MD5sum: bc14325d87d8143ac243d7c504b958bd
SHA1: fe87028184dd9339973df1ca2164e6d83481f788
SHA256: c444a1e90d9212e5b20db968723bd2084be95a6f7f70de963e3f2f9cb4d53369
SHA512: 13d31244c797462d3c7f09b52132dc1b6f87238a97d4b993d1bf8a65653e998b44c53a5922bd17d9983d3e6a636bf9d7c91047693e40bbad14e6992ddf60c45e
Homepage: https://cran.r-project.org/package=shuffle
Description: CRAN Package 'shuffle' (The Shuffle Estimator for Explainable Variance)
 Implementation of the shuffle estimator, a non-parametric estimator for
 signal and noise variance under mild noise correlations.

Package: r-cran-shuffleci
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-shuffleci_0.1.0-1.ca2004.1_all.deb
Size: 22132
MD5sum: 22eacc4fb28e6e6e373bd7cd25f4d994
SHA1: 55d0c1e7a996d891352084a9ef96740a2a5a05c4
SHA256: b982a50b97ddfcf15ece9bf2acb88c3feb696cc9798fc7862d8257f935265892
SHA512: e8e9e3168dab945b03f738a5f7f87fe28ecffc776b718c2b9ce1d3dcf5da1b35a5fab611adc2969df1e1b4681619e8c50d591df702c1b3c82eee646c0f60fb7d
Homepage: https://cran.r-project.org/package=shuffleCI
Description: CRAN Package 'shuffleCI' (Confidence Intervals Compared via Shuffling)
 Scripts and exercises that use card shuffling to teach confidence interval
 comparisons for different estimators.

Package: r-cran-shutterplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-shutterplot_0.1.0-1.ca2004.1_all.deb
Size: 31240
MD5sum: e248bebf887c86a73cc1dcd0bde87422
SHA1: 86e0b610b67db8c148797309b752ccd17ad717e3
SHA256: c02b6e5f97377b1b598880161c04c0f5042f13b2f53ce14beef470933fb4137f
SHA512: cc1ce7ce5ee3374237f901dbe2adefbed7e3f7ad1d64aaeaca2910458141836d1f99c904535afdc31ded2fa9be0ee5040359dd29c49a7aa10a2fb7f9e5be4101
Homepage: https://cran.r-project.org/package=shutterplot
Description: CRAN Package 'shutterplot' (The R Shutter Plot Package)
 Shows the scatter plot along with the fitted regression lines. It depicts
 min, max, the three quartiles, mean, and sd for each variable.  It also
 depicts sd-line, sd-box, r, r-square, prediction boundaries, and regression
 outliers.

Package: r-cran-shutterstock
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-httptest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-shutterstock_0.1.0-1.ca2004.1_all.deb
Size: 129232
MD5sum: c538529616039cfc9168031d19c08a8e
SHA1: 0f9993b01df7e9a1f032f4462d62b66014b5bab9
SHA256: 3908109f5473ca05326508fa2bc7a97eba9d7fa6d44f93358aae3c7533cd1ad3
SHA512: 2f77a69cabe0c6d114baabf36d0e9dfd118ea3b0daecfbed998048271a0382b1c41ae2233f4e97426087ef88e8e74d447a472bb4e53fdffd16ec86791ac284f3
Homepage: https://cran.r-project.org/package=shutterstock
Description: CRAN Package 'shutterstock' (Access 'Shutterstock' REST API)
 Access 'Shutterstock' API from R. The 'Shutterstock' API presents access to
 search, view, license and download the media and information from the
 'Shutterstock's library <https://api-reference.shutterstock.com/>.

Package: r-cran-si
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-si_0.2.0-1.ca2004.1_all.deb
Size: 26116
MD5sum: 39e73ad0f351128dc8088aa904a93440
SHA1: 22ee8618309c561f6d45318eec09f52402aa82c5
SHA256: f18272c61322d5a19b9161810180c632ff1adda9de354f0e054a1fe89bc4a12c
SHA512: dde1a7d5e47b65885551a365786bec09d1c85451b970c5b1e31f203cf2bb6a883f4c6c49d7fa8401f2798d58d9f8ab3adcdbc6af944b2c8a7e3dbf7ae076eb6b
Homepage: https://cran.r-project.org/package=SI
Description: CRAN Package 'SI' (Stochastic Integrating)
 An implementation of four stochastic methods of integrating in R, including:
 1. Stochastic Point Method (or Monte Carlo Method); 2. Mean Value Method; 3.
 Important Sampling Method; 4. Stratified Sampling Method.  It can be used to
 estimate one-dimension or multi-dimension integration by Monte Carlo
 methods. And the estimated variance (precision) is given.  Reference:
 Caflisch, R. E. (1998) <doi:10.1017/S0962492900002804>.

Package: r-cran-siamodules
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1346
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-difnlr, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-lme4, r-cran-magrittr, r-cran-mirt, r-cran-mirtcat, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinyitemanalysis, r-cran-shinyjs, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-siamodules_0.1.2-1.ca2004.1_all.deb
Size: 1199300
MD5sum: 2b7f342e01de805c6098892d63b489b4
SHA1: bcb740cbd6f252bb7d2331b264d8e1373260932c
SHA256: 28b532cb42d5a378a2d40e95ec44427602f436474fd04017069f57b8a7b75d2d
SHA512: 7349e087f14cec987b38f63926c7afa093eb7258aaf853c76b517f507ed8f90033c429fdcdecc47bfb5d96534afd68e10c4b00c9dcac13bc2363ccddd937f81f
Homepage: https://cran.r-project.org/package=SIAmodules
Description: CRAN Package 'SIAmodules' (Modules for 'ShinyItemAnalysis')
 Package including additional modules for interactive 'ShinyItemAnalysis'
 application for the psychometric analysis of educational tests,
 psychological assessments, health-related and other types of multi-item
 measurements, or ratings from multiple raters.

Package: r-cran-siatools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-desc, r-cran-fs, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-usethis, r-cran-yaml
Suggests: r-cran-glue, r-cran-knitr, r-cran-lintr, r-cran-pkgload, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-siatools_0.1.3-1.ca2004.1_all.deb
Size: 187812
MD5sum: fd8a9d985fb35699406242215802cec3
SHA1: 455821f254905ffa4a22648752c19397fabd2503
SHA256: a75e96f5c2a6fd7dd856f59a374654d8ad015cd9c659336e1efdb8426cf1b41e
SHA512: f29b169e02ac63366719d87a4b27f0c6e46c692e4073f780e1ff17246c7317eabe3c1d1e1598e8d041e143907ea6d82c50ccb1f353342564b3997d9353251238
Homepage: https://cran.r-project.org/package=SIAtools
Description: CRAN Package 'SIAtools' ('ShinyItemAnalysis' Modules Development Toolkit)
 A comprehensive suite of functions designed for constructing and managing
 'ShinyItemAnalysis' modules, supplemented with detailed guides, ready-to-use
 templates, linters, and tests. This package allows developers to seamlessly
 create and integrate one or more modules into their existing packages or to
 start a new module project from scratch.

Package: r-cran-siberg
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mclust
Suggests: r-bioc-edger, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-siberg_2.0.4-1.ca2004.1_all.deb
Size: 196140
MD5sum: 0e0a59998ed1658d5d7056f996b7f5bb
SHA1: 548e4af9c392224419833abaad6090d2afe818e0
SHA256: 32855c7a4ecdeea421f7ab0f2f32dd0ebbd03d4605d2ae6322073816c03ed23c
SHA512: e111ebd2cb96bb17e9d858ec589b8a494a2e02a2d3713177bbc901d361b970e0303aa5cd154d303c97fb3db9e433414865da6f6f8d1ce6db00e659c568767760
Homepage: https://cran.r-project.org/package=SIBERG
Description: CRAN Package 'SIBERG' (Systematic Identification of Bimodally Expressed Genes UsingRNAseq Data)
 Provides models to identify bimodally expressed genes from RNAseq data based
 on the Bimodality Index. SIBERG models the RNAseq data in the finite mixture
 modeling framework and incorporates mechanisms for dealing with RNAseq
 normalization. Three types of mixture models are implemented, namely, the
 mixture of log normal, negative binomial, or generalized Poisson
 distribution. See Tong et al. (2013) <doi:10.1093/bioinformatics/bts713>.

Package: r-cran-sicegar
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-minpack.lm, r-cran-fbasics, r-cran-ggplot2
Suggests: r-cran-covr, r-cran-cowplot, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sicegar_0.2.4-1.ca2004.1_all.deb
Size: 341204
MD5sum: 031e117b9ad7034c8de7e6d31991ae18
SHA1: c00d24fda0e3f05a44a5ba548d9c1887a9f608d2
SHA256: 156ef9c8da0314a309f8926dc603716919c22f0a8ff7ab95cfeae5d6f6bbc6d1
SHA512: f2056f325b7bc4ad43720ea657197bcb902ff8fdbec4b0a5e5f09497c40cf4c6485ca22efbaf1dd0ae22a12e92f653878358c134ee62c119b942143420aea7d8
Homepage: https://cran.r-project.org/package=sicegar
Description: CRAN Package 'sicegar' (Analysis of Single-Cell Viral Growth Curves)
 Aims to quantify time intensity data by using sigmoidal and double sigmoidal
 curves. It fits straight lines, sigmoidal, and double sigmoidal curves on to
 time vs intensity data.  Then all the fits are used to make decision on
 which model best describes the data. This method was first developed in the
 context of single-cell viral growth analysis (for details, see Caglar et al.
 (2018) <doi:10.7717/peerj.4251>), and the package name stands for "SIngle
 CEll Growth Analysis in R".

Package: r-cran-siconfir
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-siconfir_2.0.3-1.ca2004.1_all.deb
Size: 145140
MD5sum: 03e94edd38b8354ae23e58fb18879b41
SHA1: 4342f9f4dd4dfd41c6e19a978d00b6d3972860b4
SHA256: b282c6154e425cf30d6bca0e2591a85d0caebb994204ea9ff8d0486b848f43de
SHA512: e6444e764d5b2d550e1f3e37e2eae6150e1cced0defd7da85b9da007d32ab1405926b0a585351445985996b650a65882908e08461e6e29bc53b0758df757dc29
Homepage: https://cran.r-project.org/package=siconfir
Description: CRAN Package 'siconfir' (Quick and Easy Access Tax and Accounting Data of Brazil)
 Access tax and accounting data of Brazilian states and municipalities
 provided by the Brazilian Public Sector Accounting and Tax Information
 System.

Package: r-cran-siconvr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-cli
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-siconvr_0.0.1-1.ca2004.1_all.deb
Size: 24052
MD5sum: 94d397a8270e984dd4c0e5ddf5b1c4e9
SHA1: 823cc4fdf1c7d9b23134aa3294a05d9bed9103cf
SHA256: a038412eaa06c7ddb6465e768773125b2ceac8cb6b7a4e1e95fcf34686fac39a
SHA512: 16441d97e9dd80e753a64f243c09f461236019e0bb5ef5b75c8c3fa62eacad40bc53a14581bd0d047b68f5d0bf19ebef3a1ea7f91ea81d34992c857d3fefe034
Homepage: https://cran.r-project.org/package=siconvr
Description: CRAN Package 'siconvr' (Fetch Data from Plataforma +Brasil (SICONV))
 Fetch data on targeted public investments from Plataforma +Brasil (SICONV)
 <http://plataformamaisbrasil.gov.br/>, the responsible system for requests,
 execution, and monitoring of federal discretionary transfers in Brazil.

Package: r-cran-sicure
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-catools, r-cran-doby, r-cran-fda, r-cran-npcure, r-cran-statmatch
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sicure_0.1.1-1.ca2004.1_all.deb
Size: 65436
MD5sum: 0e41fdbf970a8547182ece8d9c00da00
SHA1: 3d3bc71544211749250cceabaeac0876fb055095
SHA256: 50cc3cd7a6700c551c67a5e4286bd9ea19fb136d0b26ef2418f3e2eb50fed68a
SHA512: 43cb39301377c024a806cca2697b9d5a4a4a9ce1f9523d714d26ae17097d8c7d3e62b9aaffc3692768aad51249742f0a6727092911073eef90350ba420cd7291
Homepage: https://cran.r-project.org/package=sicure
Description: CRAN Package 'sicure' (Single-Index Mixture Cure Models)
 Single-index mixture cure models allow estimating the probability of cure
 and the latency depending on a vector (or functional) covariate, avoiding
 the curse of dimensionality. The vector of parameters that defines the model
 can be estimated by maximum likelihood. A nonparametric estimator for the
 conditional density of the susceptible population is provided. For more
 details, see Piñeiro-Lamas (2024)
 (<https://ruc.udc.es/dspace/handle/2183/37035>). Funding: This work,
 integrated into the framework of PERTE for Vanguard Health, has been
 co-financed by the Spanish Ministry of Science, Innovation and Universities
 with funds from the European Union NextGenerationEU, from the Recovery,
 Transformation and Resilience Plan (PRTR-C17.I1) and from the Autonomous
 Community of Galicia within the framework of the Biotechnology Plan Applied
 to Health.

Package: r-cran-sid
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pcalg, r-cran-igraph, r-bioc-rbgl, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-sid_1.1-1.ca2004.1_all.deb
Size: 52592
MD5sum: 9018db689a2cb8d340801253a2e00180
SHA1: 51a2d5f7c271567e1c1eb90115099e87d2a0dfc3
SHA256: bbc079765c09fc156d90e793898f4cd739b58ca28e2a0b3764f02b332512a08b
SHA512: 93886c4fa3dd2f90debec40c88c9bab24c0a11d4a59f91cf30ab2fdab9e478bbfba6e6b4e3a07e66f169742bee37d89e540437f2ff9dd79ef3de8b222b9b576f
Homepage: https://cran.r-project.org/package=SID
Description: CRAN Package 'SID' (Structural Intervention Distance)
 The code computes the structural intervention distance (SID) between a true
 directed acyclic graph (DAG) and an estimated DAG. Definition and details
 about the implementation can be found in J. Peters and P. Bühlmann:
 "Structural intervention distance (SID) for evaluating causal graphs",
 Neural Computation 27, pages 771-799, 2015 <doi:10.1162/NECO_a_00708>.

Package: r-cran-sidechannelattack
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-corpcor, r-cran-mmap, r-cran-ade4, r-cran-infotheo
Filename: pool/dists/focal/main/r-cran-sidechannelattack_1.0-6-1.ca2004.1_all.deb
Size: 329396
MD5sum: e55b183e3e4d9ef96a533dd3defb0703
SHA1: 693d8766eae848dff5c178ff3eb50984b4dd416d
SHA256: 352656f79a6f6b8c908df3612320910c0bd9f0f881815a4da1bc43e8e6e6417d
SHA512: fcc570ac67f06d798ce2b51dc93cbdfae81586b4e4e38874e00ff446bfdf2f1d8f534f4ec4dbee78293f145a61ae44d54cd074095e897d1b6e58b9a2330166d0
Homepage: https://cran.r-project.org/package=sideChannelAttack
Description: CRAN Package 'sideChannelAttack' (Side Channel Attack)
 This package has many purposes: first, it gives to the community an R
 implementation of each known side channel attack and countermeasures as well
 as data to test it, second it allows to implement a side channel attack
 quickly and easily.

Package: r-cran-sides
Architecture: all
Version: 1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-memoise, r-cran-nnet, r-cran-multicool, r-cran-survival, r-cran-doparallel, r-cran-foreach, r-cran-mass
Filename: pool/dists/focal/main/r-cran-sides_1.18-1.ca2004.1_all.deb
Size: 159776
MD5sum: 5265549531d341562eeb5bc9aa49df2d
SHA1: 2a7f47a88a19ce45d67f8e8bb0653ded55ee1bfa
SHA256: bc31167db72fb187cc2b3169569d6935d6b2942471465358ae44967b904d329e
SHA512: 1146655acf8842f682f1936b745b9e396b9cff9f89417da5cc49672cff714d854dcb335c7acd02b6bd1d1db5fe2ac263fb4952a7d932adcecc9bc1ec4a1518ee
Homepage: https://cran.r-project.org/package=SIDES
Description: CRAN Package 'SIDES' (Subgroup Identification Based on Differential Effect Search)
 Provides function to apply "Subgroup Identification based on Differential
 Effect Search" (SIDES) method proposed by Lipkovich et al. (2011)
 <doi:10.1002/sim.4289>.

Package: r-cran-sidier
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-network, r-cran-igraph, r-cran-gridbase, r-cran-ggmap, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sidier_4.1.1-1.ca2004.1_all.deb
Size: 395492
MD5sum: 24d06ffbc19ecefa365e87149dcddf1f
SHA1: da9c0aa03c17f2d27733f72e893c82c0d60f41e0
SHA256: 439845c7a3621dfc2ed99b0d00d4c6327748d9650c70c06e1ec9ebbe2e754137
SHA512: 6cc8d87d63d6abeb825bada0b9ba75693514f571bf46fd515b311799b3dc035726c715fa954d646e9173fa3844bdb1a86db61f31baa1ccbc2ad744fbcdb215e3
Homepage: https://cran.r-project.org/package=sidier
Description: CRAN Package 'sidier' (Substitution and Indel Distances to Infer EvolutionaryRelationships)
 Evolutionary reconstruction based on substitutions and insertion-deletion
 (indels) analyses in a distance-based framework as described in
 Muñoz-Pajares (2013) <doi:10.1111/2041-210X.12118>.

Package: r-cran-sidrar
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-rjson, r-cran-rvest, r-cran-stringr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sidrar_0.2.9-1.ca2004.1_all.deb
Size: 193956
MD5sum: 6f3db59bbea5460d9e8e086b32da1e50
SHA1: a1bb680e36e94d88a71380baf4bd04331489206c
SHA256: e5e3ffe0c017d19f8b7478d209eac86d37986730037071859af24361881f15aa
SHA512: 9946daf2f9319374030b4fe931f7d06da85e4d8fe79f277f195dcc5a9682d1815782ce99a90db94b62366989860a1d55b4da004dc0771b66179f87f07be14498
Homepage: https://cran.r-project.org/package=sidrar
Description: CRAN Package 'sidrar' (An Interface to IBGE's SIDRA API)
 Allows the user to connect with IBGE's (Instituto Brasileiro de Geografia e
 Estatistica, see <https://www.ibge.gov.br/> for more information) SIDRA API
 in a flexible way. SIDRA is the acronym to "Sistema IBGE de Recuperacao
 Automatica" and is the system where IBGE turns available aggregate data from
 their researches.

Package: r-cran-sie2nts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-plotly, r-cran-stringr, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sie2nts_0.1.0-1.ca2004.1_all.deb
Size: 241088
MD5sum: 2ec628f486624bfa2f9235396ccc3dfb
SHA1: 0348b6ff7c232572225b9e5f720b899b997f84bf
SHA256: e446a4756b199db010d1b4de04fb6a409115da593b97db762646ccfd4c90abb3
SHA512: bbd96c7e61f30d5e717f27f5d623907dad0bef742deda706575e732c063e671c626a23b8e9eee776e0102d382c11f1b46695b3a3c96ae041c03c3bc9b69a443b
Homepage: https://cran.r-project.org/package=Sie2nts
Description: CRAN Package 'Sie2nts' (Sieve Methods for Non-Stationary Time Series)
 We provide functions for estimation and inference of locally-stationary time
 series using the sieve methods and bootstrapping procedure. In addition, it
 also contains functions to generate Daubechies and Coiflet wavelet by
 Cascade algorithm and to process data visualization.

Package: r-cran-siebanxicor
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-siebanxicor_1.0.0-1.ca2004.1_all.deb
Size: 37612
MD5sum: 8c3c7202930d5a899c2d6f9e09ddaef6
SHA1: 8ae91b26bdbae985e976daa5b7a797a42b39f4c5
SHA256: 120f197b0fc9c65b7aed6ff487333741f0a743dec004a06a7a38f9b274caa161
SHA512: 5e523250f352af8e349f9a31f29dc74639be1dc10e8df03906f34720719cad0cd84926bfaa456944c59615c90f943711a85e9a4302909d6cce1464cecb617e96
Homepage: https://cran.r-project.org/package=siebanxicor
Description: CRAN Package 'siebanxicor' (Query Data Series from Bank of Mexico)
 Allows to retrieve time series of all indicators available in the Bank of
 Mexico's Economic Information System
 (<http://www.banxico.org.mx/SieInternet/>).

Package: r-cran-sier
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-sier_0.1.0-1.ca2004.1_all.deb
Size: 47248
MD5sum: e77bbe2bbc4c2d0f2abe0660017c865c
SHA1: 04d41a5e6dc90e088a2bd534bf0fa53c35a92c46
SHA256: 0986a198b365bd6cebce28a6d58f8f267f4a6a1a4273ebb36303c9e409d6cb28
SHA512: 4bc58caafca290bbd99373dfbe332af02c839045b3fb1891c534f2a96e2e107cd02b9ada036b027b656505e25f8bdb24cd8857c5246d03ddf79ccb845796eee9
Homepage: https://cran.r-project.org/package=SiER
Description: CRAN Package 'SiER' (Signal Extraction Approach for Sparse Multivariate ResponseRegression)
 Methods for regression with high-dimensional predictors and univariate or
 maltivariate response variables. It considers the decomposition of the
 coefficient matrix that leads to the best approximation to the signal part
 in the response given any rank, and estimates the decomposition by solving a
 penalized generalized eigenvalue problem followed by a least squares
 procedure. Ruiyan Luo and Xin Qi (2017) <doi:10.1016/j.jmva.2016.09.005>.

Package: r-cran-siera
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2830
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-jsonlite, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-siera_0.3.0-1.ca2004.1_all.deb
Size: 119664
MD5sum: d0117dd7bf79d70ffb185e49540050ae
SHA1: 00b4ce2aa673084976ed3f523f94e12b4c0b123f
SHA256: 48f7d410e1203c1d64be881658c08e2c367a165aa84da64152fa5e46ea515792
SHA512: ce8c7dc019f3f2b25849da8b1306f1eda87fe8ca081e1d434604d576058f39a963abe74ac0b793921c572652896def4119a9cf5d42e86658afa11de74eb8ad46
Homepage: https://cran.r-project.org/package=siera
Description: CRAN Package 'siera' (Generate Analysis Results Programmes Using ARS Metadata)
 Analysis Results Standard (ARS), a foundational standard by CDISC (Clinical
 Data Interchange Standards Consortium), provides a logical data model for
 metadata describing all components to calculate Analysis Results.
 <https://www.cdisc.org/standards/foundational/analysis-results-standard>
 Using 'siera' package, ARS metadata is ingested (JSON or Excel format),
 producing programmes to generate Analysis Results Datasets (ARDs).

Package: r-cran-sievetest
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sievetest_1.2.3-1.ca2004.1_all.deb
Size: 59584
MD5sum: 60184495040877f03eccbb9758742dde
SHA1: 1d88e18002f390f9ad5d60973d2492950f1bf03c
SHA256: 8431edaf88dca156fd364069aadc125e6ade77fc7f40e29afd596a1da44812e7
SHA512: 371cbd22e236fac713eb877b33be89753b01b9b37ebe9f3ab2dd13ef7036eba33d0d9ebeb0cffe20ec317e1210a71dbe177fd65a5e894b8553f1d95034c08133
Homepage: https://cran.r-project.org/package=sievetest
Description: CRAN Package 'sievetest' (Laboratory Sieve Test Reporting Functions)
 Functions for making particle-size analysis. Sieve tests are widely used to
 obtain particle-size distribution of powders or granular materials.

Package: r-cran-sifek
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ramcmc, r-cran-smfsb, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-sifek_0.1.0-1.ca2004.1_all.deb
Size: 160040
MD5sum: a529dc4b3458ee3132d51f6a070cc6ea
SHA1: 01b97882a5572f63bbbb415ce4d292217c45f16d
SHA256: e72c2351675da415f31312e63b7dd5875792d82c45eef2e7a913d3d5aa8171a0
SHA512: ad9d1002733fb057281117f2d05978ed863aa1637754d1f897ef75d68f9831421d8597282d6bdf950666fed6f13ffa51e00e0ac201ef5006edd0473eb61f16fe
Homepage: https://cran.r-project.org/package=SIfEK
Description: CRAN Package 'SIfEK' (Statistical Inference for Enzyme Kinetics)
 Functions for estimating catalytic constant and Michaelis-Menten constant
 (MM constant) of stochastic Michaelis-Menten enzyme kinetics model are
 provided. The likelihood functions based on stochastic simulation
 approximation (SSA), diffusion approximation (DA), and Gaussian processes
 (GP) are provided to construct posterior functions for the Bayesian
 estimation. All functions utilize Markov Chain Monte Carlo (MCMC) methods
 with Metropolis- Hastings algorithm with random walk chain and robust
 adaptive Metropolis-Hastings algorithm based on Bayesian framework.

Package: r-cran-siftr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-fastdigest
Filename: pool/dists/focal/main/r-cran-siftr_1.1.0-1.ca2004.1_all.deb
Size: 65688
MD5sum: 410d7355c500d9f88b75d45a86d3fdd5
SHA1: 4fe8498d0499afcf1945af1714aef01a48b94fb5
SHA256: 277f5323276618c1243bb3281d922189f714ba2a1d23705f84a230508cc2c030
SHA512: 97dc9412082b6bf3f9255bb5ded720776cddc6ce863d0bfdedee7850ed5b5a8151245c65421b4a9153e29ec2766b045389ffb295fa606e33e34d18460dd34eb9
Homepage: https://cran.r-project.org/package=siftr
Description: CRAN Package 'siftr' (Fuzzily Search a Dataframe to Find Relevant Columns)
 Analysts who change projects frequently know that it can be hard to find the
 right column in an unfamiliar dataframe, especially when the dataframe spans
 hundreds of columns and millions of rows. 'siftr' is an interactive tool
 that finds relevant columns by fuzzily searching through a dataframe's
 column names, labels, factor levels, and unique values.

Package: r-cran-sig
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sig_0.0-6-1.ca2004.1_all.deb
Size: 61312
MD5sum: 94e8330a5e500eb5049ff6a12313aced
SHA1: fdbfde6fa4ae86ea683afad1beb26fcc1cfe49a7
SHA256: 67a17355971a8c629725b61b7c00e1e4b649ec3fffc8531eaba670f450c776df
SHA512: 40ba20b1c91af4ada315dced0cb07b45e48275f859cdf2f1f973d4af6f91c4ee02583d3c56cb65dc9a373a8043d453981017311203911787804ca5ade5a52292
Homepage: https://cran.r-project.org/package=sig
Description: CRAN Package 'sig' (Print Function Signatures)
 Print function signatures and find overly complicated code.

Package: r-cran-sigclust
Architecture: all
Version: 1.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sigclust_1.1.0.1-1.ca2004.1_all.deb
Size: 44500
MD5sum: 9d1b6023d5f7d7add9307b86dec02696
SHA1: 9818d9483480b4183775a8e378bfed6b5cd853d8
SHA256: 96f7b36f2c7300ff2383508b3dadfc175392a965ce08312507a8b45df933ed5a
SHA512: 4ce5d987906e8eb8ab5c4f82012ce2d301fea1806eb47c4bb3ec65c6b977e85531bfe368130057755d3c0939139486e842980c8b2586f0bae2c2d5d8e312b0ce
Homepage: https://cran.r-project.org/package=sigclust
Description: CRAN Package 'sigclust' (Statistical Significance of Clustering)
 SigClust is a statistical method for testing the significance of clustering
 results. SigClust can be applied to assess the statistical significance of
 splitting a data set into two clusters. For more than two clusters, SigClust
 can be used iteratively.

Package: r-cran-sightabilitymodel
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1878
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula.tools, r-cran-matrix, r-cran-msm, r-cran-plyr, r-cran-mvtnorm, r-cran-survey
Suggests: r-cran-car, r-cran-data.table, r-cran-ggally, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-readxl, r-cran-reshape2, r-cran-rmarkdown, r-cran-tidyr, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-sightabilitymodel_1.5.5-1.ca2004.1_all.deb
Size: 1202124
MD5sum: 1b4c2e4507d3599dcad0f4f364715716
SHA1: 205c0abbd19aa8c49a276f65382357fdb2d18376
SHA256: 05481a0d89b99aea3301f572c4f1b139943a9deb3302e0d60daba1f47da8f63a
SHA512: ab236ecd3e1aa431b8252e2c1f1d42c88e91d98c8c9fccb93e5924804fb89cab38e0bdec8f338d491a766fa0860fd8dedd7f0a78b5b1c9868fdf64ee45497db9
Homepage: https://cran.r-project.org/package=SightabilityModel
Description: CRAN Package 'SightabilityModel' (Wildlife Sightability Modeling)
 Uses logistic regression to model the probability of detection as a function
 of covariates.  This model is then used with observational survey data to
 estimate population size, while accounting for uncertain detection.  See
 Steinhorst and Samuel (1989).

Package: r-cran-sigint
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-stringr, r-cran-pbivnorm, r-cran-formula, r-cran-maxlik, r-cran-xtable, r-cran-mass
Filename: pool/dists/focal/main/r-cran-sigint_0.2.0-1.ca2004.1_all.deb
Size: 215072
MD5sum: eaa2b31f89c5663fe5bde6b533763a70
SHA1: ca130fcfa84abce40246fe6bed238360b3d16e86
SHA256: bc3a315a521b0c1d57924bea72668798860b449fc86c834e623eea6ca374b797
SHA512: e75cf298f431efae3eb6ab2f7017bea865c4c6c7b9f38c26d2913310c872ab7550f89f688ecb3c093766729ea44bcd0a6f3b8f39dc90f0bdabe964d468eefb21
Homepage: https://cran.r-project.org/package=sigInt
Description: CRAN Package 'sigInt' (Estimate the Parameters of a Discrete Crisis-Bargaining Game)
 Provides pseudo-likelihood methods for empirically analyzing common
 signaling games in international relations as described in Crisman-Cox and
 Gibilisco (2019) <doi:10.1017/psrm.2019.58>.

Package: r-cran-sigmajs
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 694
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-dplyr, r-cran-magrittr, r-cran-shiny, r-cran-jsonlite, r-cran-igraph, r-cran-htmltools, r-cran-purrr, r-cran-scales, r-cran-crosstalk
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sigmajs_0.1.5-1.ca2004.1_all.deb
Size: 452608
MD5sum: b6dc5443a670f0dbf2e56295456566ac
SHA1: 88d2e95c051f9160fc2bd5d09fe48615896cc5f6
SHA256: 6859db69a96da1678b81d75faf542e27a694532adf041f9e145628074f5ce64d
SHA512: dd3d1a5e3377d4ac818549c88a99d6de4d5378c2ae1604e743198ea69c58114e9014c79b0dc34a1aeb20e6014cecacbaee2eb0ee89a6d24ddbc5e765d2e333c9
Homepage: https://cran.r-project.org/package=sigmajs
Description: CRAN Package 'sigmajs' (Interface to 'Sigma.js' Graph Visualization Library)
 Interface to 'sigma.js' graph visualization library including animations,
 plugins and shiny proxies.

Package: r-cran-sigmanet
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-igraph, r-cran-jsonlite, r-cran-rcolorbrewer
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-sigmanet_1.1.0-1.ca2004.1_all.deb
Size: 136380
MD5sum: 1383fae621e6eca80617bee7c6e5bd55
SHA1: ce2fb54fdb484032c559050f5aa3918e9b20eea5
SHA256: f37632a9c2ef8e99a5ee723d55c49b4221f852f51a14daef0f9471b6753c9036
SHA512: 6ef18bc3199115b16b8f01e11c84ef3a59ca420702ee2348aaffd7c23fdbcad059f0251471ee5d0ec1e3294f9bb6eb4b3c75457a403b9b4468ff9f1bbc141fd6
Homepage: https://cran.r-project.org/package=sigmaNet
Description: CRAN Package 'sigmaNet' (Render Graphs Using 'Sigma.js')
 Create interactive graph visualizations using 'Sigma.js'
 <http://sigmajs.org/>.  This package is meant to be used in conjunction with
 'igraph', replacing the (somewhat underwhelming) plotting features of the
 package.  The idea is to quickly render graphs, regardless of their size, in
 a way that allows for easy, iterative modification of aesthetics.  Because
 'Sigma.js' is a 'javascript' library, the visualizations are inherently
 interactive and are well suited for integration with 'Shiny' apps.  While
 there are several 'htmlwidgets' focused on network visualization, they tend
 to underperform on medium to large sized graphs.  'Sigma.js' was designed
 for larger network visualizations and this package aims to make those
 strengths available to 'R' users.

Package: r-cran-sigmoid
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sigmoid_1.4.0-1.ca2004.1_all.deb
Size: 52900
MD5sum: 88341a5efbc805038703d3602fef8e76
SHA1: cc88226a4afbb72c3ad05aa30b9a61d83c4926e2
SHA256: 59f37600d37ab196b406b5ef96ac5ccfc0b33e9a9abf59c269aac3f14b1462bc
SHA512: 59b62e0b279af199272d22616b37cb873fd735582167c7c796f41325973490616746ec175502ae9333dc4bcc8ce9d492a1463cd354f6d16ee876d4bdc67dc45e
Homepage: https://cran.r-project.org/package=sigmoid
Description: CRAN Package 'sigmoid' (Sigmoid Functions for Machine Learning)
 Several different sigmoid functions are implemented, including a wrapper
 function, SoftMax preprocessing and inverse functions.

Package: r-cran-signacx
Architecture: all
Version: 2.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-neuralnet, r-cran-lme4, r-cran-matrix, r-cran-pbmcapply, r-cran-rjsonio, r-cran-igraph, r-cran-jsonlite, r-cran-rcolorbrewer
Suggests: r-cran-hdf5r, r-bioc-rhdf5, r-cran-knitr, r-cran-rmarkdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-signacx_2.2.5-1.ca2004.1_all.deb
Size: 846324
MD5sum: a2577643919a1b8a36f90a51b183c9b8
SHA1: 7a29fccfadee0c45d1350b235571d6f6f5a910f1
SHA256: 265865533418dd8996f6dbb7d75dc28e0ff6e2bd059edb5baecb3e629000f72a
SHA512: dd199d09aed346da0c11ee1f2d13d589c90c912161e4f6360bfcbc474231939bc7e3ee20f339c261e55bad091983b0fe4ea549890a1e77fc6212d808e2d018d3
Homepage: https://cran.r-project.org/package=SignacX
Description: CRAN Package 'SignacX' (Cell Type Identification and Discovery from Single Cell GeneExpression Data)
 An implementation of neural networks trained with flow-sorted gene
 expression data to classify cellular phenotypes in single cell
 RNA-sequencing data. See Chamberlain M et al. (2021)
 <doi:10.1101/2021.02.01.429207> for more details.

Package: r-cran-signaturesurvival
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4610
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forestplot, r-cran-gplots, r-cran-gtools, r-cran-survival, r-cran-survminer, r-cran-ggplot2
Suggests: r-cran-rmisc
Filename: pool/dists/focal/main/r-cran-signaturesurvival_1.0.0-1.ca2004.1_all.deb
Size: 4576452
MD5sum: 2a7b337f4f33b75d66be6312f5c87af6
SHA1: 547c8f4f46357fcde612d95aa80d03e1cec79a2b
SHA256: a3d7cf4617d138bedc3743cf69ec484abc28b6cc1c0dda07dd435b8c376b6f6d
SHA512: d4b6543a3122db37d7c22ff2653836e91a323e54652ed4b44c4707c027f5af6d839b1ec40dc66754411d0d7d4fb7c2ca844d116ec8f45596afe89f201f3651ac
Homepage: https://cran.r-project.org/package=signatureSurvival
Description: CRAN Package 'signatureSurvival' (Signature Survival Analysis)
 When multiple Cox proportional hazard models are performed on clinical data
 (month or year and status) and a set of differential expressions of genes,
 the results (Hazard risks, z-scores and p-values) can be used to create
 gene-expression signatures.  Weights are calculated using the survival
 p-values of genes and are utilized to calculate expression values of the
 signature across the selected genes in all patients in a cohort. A Single or
 multiple univariate or multivariate Cox proportional hazard survival
 analyses of the patients in one cohort can be performed by using the
 gene-expression signature and visualized using our survival plots.

Package: r-cran-signed.backbones
Architecture: all
Version: 0.91.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-signed.backbones_0.91.5-1.ca2004.1_all.deb
Size: 25248
MD5sum: 25bf5ac53319fa63d2f691d8aa8cc2c5
SHA1: 092461fcc4f37a4272cccdddb0677c586c399b50
SHA256: f3a5e718b41ab20a50727c952524978abe700d535d88d54f864f9a7b5cc0a22c
SHA512: 95265e191861a31726eea4e47ac0d01f94d1fa28ee469bc0a6e979a2e9f0640bbd9a8995126fc6f92c3e1d33fc0f7695700758f2b3c4c55aedef3c8fa317fb46
Homepage: https://cran.r-project.org/package=signed.backbones
Description: CRAN Package 'signed.backbones' (Extract the Signed Backbones of Weighted Networks)
 Extract the signed backbones of intrinsically dense weighted networks based
 on the significance filter and vigor filter as described in the following
 paper. Please cite it if you find this software useful in your work.  Furkan
 Gursoy and Bertan Badur. "Extracting the signed backbone of intrinsically
 dense weighted networks." Journal of Complex Networks. <arXiv:2012.05216>.

Package: r-cran-signibox
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-signibox_1.0-1.ca2004.1_all.deb
Size: 9900
MD5sum: ba534e6ef68415cf492c3e9a0df07070
SHA1: 4727c0748fac2e90d86068fcf504309a784ae106
SHA256: dde3fa3433c3ce83b738d640aecc50349379dad8c187f7fc816de258a988c40b
SHA512: 55335a10449ce71a573ff910a6bed4abf2d431ff7561a8a891030a96ea76dff3d5baa7dd39147331b525edf144ddb523e976dfb66d886eb9553a431967edb462
Homepage: https://cran.r-project.org/package=signibox
Description: CRAN Package 'signibox' (Statistical Significance Marks on Boxplots)
 Add significance marks to any R Boxplot, including a given significance
 niveau.

Package: r-cran-signifreg
Architecture: all
Version: 4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-car
Filename: pool/dists/focal/main/r-cran-signifreg_4.3-1.ca2004.1_all.deb
Size: 64788
MD5sum: 4e53716e9b5f71c7cd7ae668d71c3276
SHA1: 1838a373ecdcedbeed6f5356e050a0bd4cc78f6b
SHA256: cc23230aff57a0410b127d927b79dbf2818b53aa035b9a5bb04457218dcdd585
SHA512: 7dee79abfed5a2e3b2eede12e8809b3d9b8d8d627e45de381cfe64ca3d0b3d03edb409155c574f956a521e6f10128bd7524a0e8501d37e082ffae74d6f4c4703
Homepage: https://cran.r-project.org/package=SignifReg
Description: CRAN Package 'SignifReg' (Consistent Significance Controlled Variable Selection inGeneralized Linear Regression)
 Provides significance controlled variable selection algorithms with
 different directions (forward, backward, stepwise) based on diverse criteria
 (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a
 final model with only significant variables defined as those with
 significant p-values after multiple testing correction such as Bonferroni,
 False Discovery Rate, etc. See Zambom and Kim (2018) <doi:10.1002/sta4.210>.

Package: r-cran-signmedian.test
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-signmedian.test_1.5.1-1.ca2004.1_all.deb
Size: 18824
MD5sum: 88b1c88448a8c3db21554730e935c03d
SHA1: 8e27bcfee2f4d4d678184f8e5dd1bfd4b52bb86e
SHA256: c71dadfa5f303b1473e6d92e896dc6d4fcadb9b01902bf6bc776a0a02b2a4ca9
SHA512: e457aea9a8259cc56dfc1118798b8fb04d7eb0c9c7de6f5b21243f1b7cd5656de890afe162caec755862089451bef72bcbf1768b608a408a43140bbc590e1e6b
Homepage: https://cran.r-project.org/package=signmedian.test
Description: CRAN Package 'signmedian.test' (Perform Exact Sign Test and Asymptotic Sign Test in LargeSamples)
 Perform sign test on one-sample data, which is one of the oldest
 non-parametric statistical methods. Assume that X comes from a continuous
 distribution with median = v ( unknown ). Test the null hypothesis H0:
 median of X v = mu ( mu is the location parameter and is given in the test )
 v.s. the alternative hypothesis H1: v > mu ( or v < mu or v != mu ) and
 calculate the p-value. When the sample size is large, perform the asymptotic
 sign test. In both ways, calculate the R-estimate of location of X and the
 distribution free confidence interval for mu.

Package: r-cran-signs
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scales, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-ggrepel, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-signs_0.1.2-1.ca2004.1_all.deb
Size: 193224
MD5sum: efc182a2a1c3aaa000153576be2a69a5
SHA1: c484a4cb95a6c370d7b3b81c4f8a739e52995523
SHA256: ed4aaf1b82eba91b8bfe4ac1abb5bb78f11b35d1c4d5d62219d5c96f4c3edf14
SHA512: 14ace6a35cc655f4acddd454099876d5cf772fe937c86df566f7c499e69a5684d9ed22fb65b40c9b6a42a36ae4b6aed36d08e52e92c7aab0f4b012c47224284b
Homepage: https://cran.r-project.org/package=signs
Description: CRAN Package 'signs' (Insert Proper Minus Signs)
 Provides convenience functions to replace hyphen-minuses (ASCII 45) with
 proper minus signs (Unicode character 2212). The true minus matches the plus
 symbol in width, line thickness, and height above the baseline.  It was
 designed for mathematics, looks better in presentation, and is understood
 properly by screen readers.

Package: r-cran-sigoptr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-sigoptr_0.0.1-1.ca2004.1_all.deb
Size: 32456
MD5sum: a9fe2d1ab30a40f9be1eb5e65789c0af
SHA1: a6f47314c5676c214223af379e74af839ac04933
SHA256: 46841520080daf42550ec4004001cc36e0656addde9d8bd6cf890a9ec826ca47
SHA512: 3d757fca7b44544b5c5e8a8b646514879b7a8647da7e2136d54b90a2341a5683b809231f96c0b8166f21b043167095e6e343e9b848b3dbcd88c3a06204345a92
Homepage: https://cran.r-project.org/package=SigOptR
Description: CRAN Package 'SigOptR' (R API Wrapper for SigOpt)
 Interfaces with the 'SigOpt' API. More info at <https://sigopt.com>.

Package: r-cran-sigora
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-slam
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sigora_3.1.1-1.ca2004.1_all.deb
Size: 2927308
MD5sum: 09403d3a19eb9708bfa567ed7f49a39f
SHA1: 2c2a06b5f05566166fe4306a254b289626eef585
SHA256: 48787b835178edddf948463f6a7f3b5702cb92015b71bee595821679c0ba508a
SHA512: 64933550e4aa6008884cb620de053b8613d5d279fd2b0d74eb446248d66217bb9d31a4508b8060e3b5f8081ebfd0946bd3558eb0fa498e6dee0c8f97aaee59c9
Homepage: https://cran.r-project.org/package=sigora
Description: CRAN Package 'sigora' (Signature Overrepresentation Analysis)
 Pathway Analysis is statistically linking observations on the molecular
 level to biological processes or pathways on the systems(i.e., organism,
 organ, tissue, cell) level.  Traditionally, pathway analysis methods regard
 pathways as collections of single genes and treat all genes in a pathway as
 equally informative. However, this can lead to identifying spurious pathways
 as statistically significant since components are often shared amongst
 pathways. SIGORA seeks to avoid this pitfall by focusing on genes or gene
 pairs that are (as a combination) specific to a single pathway.  In relying
 on such pathway gene-pair signatures (Pathway-GPS), SIGORA inherently uses
 the status of other genes in the experimental context to identify the most
 relevant pathways.  The current version allows for pathway analysis of human
 and mouse datasets. In addition, it contains pre-computed Pathway-GPS data
 for pathways in the KEGG and Reactome pathway repositories and mechanisms
 for extracting GPS for user-supplied repositories.

Package: r-cran-sigqc
Architecture: all
Version: 0.1.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lattice, r-cran-kernsmooth, r-cran-cluster, r-cran-nnet, r-cran-class, r-cran-gridgraphics, r-cran-biclust, r-cran-gplots, r-bioc-complexheatmap, r-cran-fmsb, r-cran-moments, r-cran-mclust, r-bioc-gsva, r-cran-circlize
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-rankprod
Filename: pool/dists/focal/main/r-cran-sigqc_0.1.24-1.ca2004.1_all.deb
Size: 1657836
MD5sum: 6531a1bf5298cdba540265642d19f341
SHA1: 04729ebef2aac2ed6241e091c3e966dd646af71d
SHA256: a869ff42fa3d6a51abf8c5e3d1419c852f61fec3ac4d0562dc43c9da693d3639
SHA512: 49953aeb5c8b940beda5469d718df5c29ad9a98d88548ab8b4288ba70354d327aeb9709ea8ef1f496b7899106f05bbdea437778d845a18bf63fe0a9a7a30f5b2
Homepage: https://cran.r-project.org/package=sigQC
Description: CRAN Package 'sigQC' (Quality Control Metrics for Gene Signatures)
 Provides gene signature quality control metrics in publication ready plots.
 Namely, enables the visualization of properties such as expression,
 variability, correlation, and comparison of methods of standardisation and
 scoring metrics.

Package: r-cran-sigr
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wrapr
Suggests: r-cran-pwr, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-sigr_1.1.5-1.ca2004.1_all.deb
Size: 295480
MD5sum: d9101ac93cd8daeca202c21c15899bb1
SHA1: b4a15ce1ba5e3ec997c011094645e5d36de6b1a6
SHA256: 9e765394b6663b39a82e9f47239f62c2d7a98acf8b5777929aefd37c80c2f143
SHA512: d5980ad53f20c948b237d3965185be672eff07edb29182fb6653d56323fc61eaa5439b5063adb438c461b466310452f5674ae3f6579750847ce0730439ef47f9
Homepage: https://cran.r-project.org/package=sigr
Description: CRAN Package 'sigr' (Succinct and Correct Statistical Summaries for Reports)
 Succinctly and correctly format statistical summaries of various models and
 tests (F-test, Chi-Sq-test, Fisher-test, T-test, and rank-significance).
 This package also includes empirical tests, such as Monte Carlo and
 bootstrap distribution estimates.

Package: r-cran-sigugr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3728
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clc, r-cran-gdalutilities, r-cran-httr, r-cran-jsonlite, r-cran-rpostgis, r-cran-sf, r-cran-snakecase, r-cran-terra
Suggests: r-cran-httptest2, r-cran-knitr, r-cran-mockery, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sigugr_1.0.0-1.ca2004.1_all.deb
Size: 3059304
MD5sum: 73ab5036455c2237834cb694f82bdbe7
SHA1: f92cc81bc5f52e3ebf818383f92d054e9bd04cc2
SHA256: bafbc7d8a6161802c0e2f67c3c2e4b4ac986cfa92add5cdc98bfbfa22e684c47
SHA512: 9d891cfd8901eef46572556f2d8c126dbf71f8c279b7aa8b89e5c82d991872c3719158963b3a017495fbf39fb9c64c26bfe43bf03351948c7e0675a5942eae0a
Homepage: https://cran.r-project.org/package=sigugr
Description: CRAN Package 'sigugr' (Workflow for Geographic Data)
 Streamlines geographic data transformation, storage and publication,
 simplifying data preparation and enhancing interoperability across formats
 and platforms.

Package: r-cran-sihr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 981
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cvxr, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-sihr_2.1.0-1.ca2004.1_all.deb
Size: 808960
MD5sum: 541aa58cecdb4d17082cf93639943172
SHA1: a2c033675478bc716d0d94c26a98408ffe8f0906
SHA256: 821d314aad6b9e714c174a22b99b6f7aa32d93c0b3c5cccae50b36eb92f47d70
SHA512: afbb775aab0033ca7e483df2f26c9cd0ad3b5328796721faa02afa746edc0ed2b79292c35796a857bdb663dd809e979f095a66a81474308d9fb506e53543e4c5
Homepage: https://cran.r-project.org/package=SIHR
Description: CRAN Package 'SIHR' (Statistical Inference in High Dimensional Regression)
 The goal of SIHR is to provide inference procedures in the high-dimensional
 generalized linear regression setting for: (1) linear functionals
 <doi:10.48550/arXiv.1904.12891> <doi:10.48550/arXiv.2012.07133>, (2)
 conditional average treatment effects, (3) quadratic functionals
 <doi:10.48550/arXiv.1909.01503>, (4) inner product, (5) distance.

Package: r-cran-siie
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyfst
Filename: pool/dists/focal/main/r-cran-siie_0.4.0-1.ca2004.1_all.deb
Size: 33944
MD5sum: 0ad39192b607a207fac4679025c1dc86
SHA1: 1f3eaef7fd5326e8b08c94d4a9e085ee60c01d1d
SHA256: d57dc5b66dacec35eec06c5d80445007db6e9e05d5dc4b394bb2d9a8a15142d9
SHA512: d77669510e22cadb1c5576cdb76ed6b6bb4400a0770611fae6e6e71e4e98c83db573f13847c1d5a1b5c8d006f44b1c7de05c1433788faeb388b347c05fdc7450
Homepage: https://cran.r-project.org/package=siie
Description: CRAN Package 'siie' (Superior Identification Index and Its Extensions)
 Calculate superior identification index and its extensions.  Measure the
 performance of journals based on how well they could identify the top papers
 by any index (e.g. citation indices) according to Huang & Yang.  (2022)
 <doi:10.1007/s11192-022-04372-z>. These methods could be extended to
 evaluate other entities such as institutes, countries, etc.

Package: r-cran-siland
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1826
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-lme4, r-cran-sp, r-cran-raster, r-cran-ggplot2, r-cran-ggforce, r-cran-fasterize, r-cran-reshape2, r-cran-fields
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-siland_3.0.2-1.ca2004.1_all.deb
Size: 1714900
MD5sum: 0818b2a31b6c8317824819da1b9c460f
SHA1: ddc0890ea3f0f710c55410645ee5a459c4619a36
SHA256: b7ff260d84143dd83a735e9bc209258f674390c122ebdca7f1b03ba6816ba5ab
SHA512: 3593a9e0ad297a21d659195af4f7b1749b5fd90e5e043a52b7aebfb3aae15a39664e025d566aa2b73161e092d75ba978ea7490640c1de98ab49267fa3413d985
Homepage: https://cran.r-project.org/package=siland
Description: CRAN Package 'siland' (Spatial Influence of Landscape)
 Method to estimate the spatial influence scales of landscape variables on a
 response variable. The method is based on Chandler and Hepinstall-Cymerman
 (2016) Estimating the spatial scales of landscape effects on abundance,
 Landscape ecology, 31: 1383-1394, <doi:10.1007/s10980-016-0380-z>.

Package: r-cran-silfs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-glmnet, r-cran-ckmeans.1d.dp
Filename: pool/dists/focal/main/r-cran-silfs_0.1.0-1.ca2004.1_all.deb
Size: 97360
MD5sum: abd438c0eb99851d9242aac432f0f855
SHA1: 9a3b853943e81e748fb123c3e5428db55d529fd8
SHA256: 716c9f7cddcc37ccd8283de1a78579641063f2813a13dafc2cf9f7cb6cd8fa28
SHA512: 4fbc5395456e1c6f2acbd102608125dd494e720eafc5aa1a049b996813e8b2ef8d2e6d69fb4b81070d86a15fbcb273d9ae947037c5660a79e9d0e864fc2eb1b0
Homepage: https://cran.r-project.org/package=SILFS
Description: CRAN Package 'SILFS' (Subgroup Identification with Latent Factor Structure)
 In various domains, many datasets exhibit both high variable dependency and
 group structures, which necessitates their simultaneous estimation. This
 package provides functions for two subgroup identification methods based on
 penalized functions, both of which utilize factor model structures to adapt
 to data with cross-sectional dependency. The first method is the Subgroup
 Identification with Latent Factor Structure Method (SILFSM) we proposed. By
 employing Center-Augmented Regularization and factor structures, the SILFSM
 effectively eliminates data dependencies while identifying subgroups within
 datasets. For this model, we offer optimization functions based on two
 different methods: Coordinate Descent and our newly developed Difference of
 Convex-Alternating Direction Method of Multipliers (DC-ADMM) algorithms; the
 latter can be applied to cases where the distance function in
 Center-Augmented Regularization takes L1 and L2 forms. The other method is
 the Factor-Adjusted Pairwise Fusion Penalty (FA-PFP) model, which
 incorporates factor augmentation into the Pairwise Fusion Penalty (PFP)
 developed by Ma, S. and Huang, J. (2017)
 <doi:10.1080/01621459.2016.1148039>. Additionally, we provide a function for
 the Standard CAR (S-CAR) method, which does not consider the dependency and
 is for comparative analysis with other approaches. Furthermore, functions
 based on the Bayesian Information Criterion (BIC) of the SILFSM and the
 FA-PFP method are also included in 'SILFS' for selecting tuning parameters.
 For more details of Subgroup Identification with Latent Factor Structure
 Method, please refer to He et al. (2024) <doi:10.48550/arXiv.2407.00882>.

Package: r-cran-silicate
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3270
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-gibble, r-cran-purrr, r-cran-rlang, r-cran-decido, r-cran-tibble, r-cran-unjoin, r-cran-magrittr, r-cran-gridbase, r-cran-crsmeta
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-sp, r-cran-testthat, r-cran-trip, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-silicate_0.7.1-1.ca2004.1_all.deb
Size: 1955612
MD5sum: b2447237118e62f9d97be2baa0c01c18
SHA1: cbddeaa0c4365385e345d63c45a2e752192ad389
SHA256: 687768b82542d66660b2f30ad660f53a95e272d4fc3ef6ea591d6b24e81607ab
SHA512: da2edcd3426a1bfaa87dbc441de9ea050f6bc2a291bff60568c2d897bca4d919b77b27059250fbc7309ba35d2113ffc8e28c1c5cf8c9df48e5802d65c00d0897
Homepage: https://cran.r-project.org/package=silicate
Description: CRAN Package 'silicate' (Common Forms for Complex Hierarchical and Relational DataStructures)
 Generate common data forms for complex data suitable for conversions and
 transmission by decomposition as paths or primitives. Paths are
 sequentially-linked records, primitives are basic atomic elements and both
 can model many forms and be grouped into hierarchical structures.  The
 universal models 'SC0' (structural) and 'SC' (labelled, relational) are
 composed of edges and can represent any hierarchical form. Specialist models
 'PATH', 'ARC' and 'TRI' provide the most common intermediate forms used for
 converting from one form to another. The methods are inspired by the
 simplicial complex <https://en.wikipedia.org/wiki/Simplicial_complex> and
 provide intermediate forms that relate spatial data structures to this
 mathematical construct.

Package: r-cran-sillyputty
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1949
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-thresher, r-cran-oompabase, r-cran-polychrome
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mercator, r-cran-umpire, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-sillyputty_0.4.2-1.ca2004.1_all.deb
Size: 1161504
MD5sum: b29cce68de0a4de523b6c449908d46f1
SHA1: f1458e9bebc57a1a63c3398a838155b191cc0d19
SHA256: e7a826f6374a9c87e01f8ec3f3afd116d356b76c47146a2d45161d3955500b64
SHA512: 201e880958be6fe13df6a308efae00031e91dff0739825d746c905ba540e3973e3bf1e9492702c125584135d780032911a04d09f644a5c20da2bb0edab2ebf27
Homepage: https://cran.r-project.org/package=SillyPutty
Description: CRAN Package 'SillyPutty' (Silly Putty Clustering)
 Implements a simple, novel clustering algorithm based on optimizing the
 silhouette width. See <doi:10.1101/2023.11.07.566055> for details.

Package: r-cran-silm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scalreg, r-cran-glmnet, r-cran-hdi, r-cran-sis
Filename: pool/dists/focal/main/r-cran-silm_1.0.0-1.ca2004.1_all.deb
Size: 30276
MD5sum: de3ade3748aaa9c4c7c510146087fae5
SHA1: ee959c800c8575661a6968b1f8b8a7e3504fa6cc
SHA256: 8f3a23634243ce710fbb846e8f7fdcf8eade1a3753561b55ffcc2fc33cc6e1a6
SHA512: 7a054bbbbd82fb959ba3a8a6ed728887934b1839933fab3e1d76efb979f02d0bba84beb93038b62d5c5960cbef0c32a1e33df09d1c597f3ab0877a427f97fa82
Homepage: https://cran.r-project.org/package=SILM
Description: CRAN Package 'SILM' (Simultaneous Inference for Linear Models)
 Simultaneous inference procedures for high-dimensional linear models as
 described by Zhang, X., and Cheng, G. (2017)
 <doi:10.1080/01621459.2016.1166114>.

Package: r-cran-silp
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-lavaan, r-cran-mass, r-cran-purrr, r-cran-semtools, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-silp_1.0.3-1.ca2004.1_all.deb
Size: 82212
MD5sum: 343007a7669ae31fd22f9fd482fcb126
SHA1: 25ba081fe9ba0fca7a4c9615d7baee4f297fb6a8
SHA256: 2ec8e91887b652e2a84fae7317a9e4528b71b01400380c4d5743fe82ea14f3b9
SHA512: e7cf8353e9e91c3c0641cd029432ea7e3f115882c2dea6cc57ac4ef919f65ac0044004e33fd3613c3b49b0b76f9b27d98ff7a059e2ae16ce128c0102ae474696
Homepage: https://cran.r-project.org/package=silp
Description: CRAN Package 'silp' (Conditional Process Analysis (CPA) via SEM Approach)
 Utilizes the Reliability-Adjusted Product Indicator (RAPI) method to
 estimate effects among latent variables, thus allowing for more precise
 definition and analysis of mediation and moderation models. Our simulation
 studies reveal that while 'silp' may exhibit instability with smaller sample
 sizes and lower reliability scores (e.g., N = 100, 'omega' = 0.7),
 implementing nearest positive definite matrix correction and bootstrap
 confidence interval estimation can significantly ameliorate this volatility.
 When these adjustments are applied, 'silp' achieves estimations akin in
 quality to those derived from LMS. In conclusion, the 'silp' package is a
 valuable tool for researchers seeking to explore complex relational
 structures between variables without resorting to commercial software.
 Cheung et al.(2021)<doi:10.1007/s10869-020-09717-0> Hsiao et
 al.(2018)<doi:10.1177/0013164416679877>.

Package: r-cran-silviculture
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-s7
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-silviculture_0.1.0-1.ca2004.1_all.deb
Size: 555688
MD5sum: 9f8cf2d851a5316ae6eda7cdf0fd8950
SHA1: e6c730cc3bfa23ca3c4feaeff918510963ca1cf3
SHA256: d592f0891fb33d4a62c8915817b81f9b675b9dbcfc0fc3994db84a2422c90c50
SHA512: e310be93336d191ace69d446d3f2f48dd7ef2d84f76c19efffb449b946c2574e02aa5753474e9865178e600d572911e857ebdc103eebc78b4499a5fb3ba2a9a2
Homepage: https://cran.r-project.org/package=silviculture
Description: CRAN Package 'silviculture' (Utility Functions for Forest Inventory and Silviculture)
 Perform common dendrometry operations such as inventory preparing, and
 inventory data analysis.

Package: r-cran-sim.ba
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 331
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-chk, r-cran-cobalt, r-cran-ggplot2, r-cran-scales, r-cran-pbapply, r-cran-rlang, r-cran-survival
Suggests: r-cran-matchit, r-cran-weightit, r-cran-openxlsx, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sim.ba_0.1.0-1.ca2004.1_all.deb
Size: 224828
MD5sum: 8ffd82fb4965d7a9ed02bd57d612b2ae
SHA1: 6e1ab9af0108d460d22a87a7422ed2b7e1e6d343
SHA256: 08ee61ff93482b880ec2ebdd72259384ac1f661554e4c2fd0380bd5d8c920fa5
SHA512: 94503e1408d3bfb0efa51ae2e96c9a56453c58d89d3e7c8d30abc4a65e624fff04680920a7ab5c8f227dcf58e511a6328dac7e33c13c89fa8983efb2316109d8
Homepage: https://cran.r-project.org/package=sim.BA
Description: CRAN Package 'sim.BA' (Simulation-Based Bias Analysis for Observational Studies)
 Allows user to conduct a simulation based quantitative bias analysis using
 covariate structures generated with individual-level data to characterize
 the bias arising from unmeasured confounding. Users can specify their
 desired data generating mechanisms to simulate data and quantitatively
 summarize findings in an end-to-end application using this package.

Package: r-cran-sim.plfn
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fuzzynumbers, r-cran-distrib
Filename: pool/dists/focal/main/r-cran-sim.plfn_1.0-1.ca2004.1_all.deb
Size: 49488
MD5sum: 00b3e4d0dc85e75c5cedcb0790aa3a17
SHA1: 5477d847b1d6e4dbb5d254eb0df3a4d5b2f1db2e
SHA256: 25034ad7ee772211b48dc431670d1a86efc1d998b6865ec368bc248189ab973a
SHA512: fa92007619d657c1088ebe55087119d0fa977f347bee4b0b02fd1d375e4ae63bb490bc7f14bb3de3b983633754ea2cb709b9682f948be2536ee98860b9d7afd3
Homepage: https://cran.r-project.org/package=Sim.PLFN
Description: CRAN Package 'Sim.PLFN' (Simulation of Piecewise Linear Fuzzy Numbers)
 The definition of fuzzy random variable and the methods of simulation from
 fuzzy random variables are two challenging statistical problems in three
 recent decades. This package is organized based on a special definition of
 fuzzy random variable and simulate fuzzy random variable by Piecewise Linear
 Fuzzy Numbers (PLFNs); see Coroianua et al. (2013)
 <doi:10.1016/j.fss.2013.02.005> for details about PLFNs. Some important
 statistical functions are considered for obtaining the membership function
 of main statistics, such as mean, variance, summation, standard deviation
 and coefficient of variance. Some of applied advantages of 'Sim.PLFN'
 package are: (1) Easily generating / simulation a random sample of PLFN, (2)
 drawing the membership functions of the simulated PLFNs or the membership
 function of the statistical result, and (3) Considering the simulated PLFNs
 for arithmetic operation or importing into some statistical computation.
 Finally, it must be mentioned that 'Sim.PLFN' package works on the basis of
 'FuzzyNumbers' package.

Package: r-cran-sim1000g
Architecture: all
Version: 1.40-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1733
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hapsim, r-cran-mass, r-cran-stringr, r-cran-readr
Suggests: r-cran-knitr, r-cran-prettydoc, r-cran-testthat, r-cran-gplots, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sim1000g_1.40-1.ca2004.1_all.deb
Size: 1143780
MD5sum: 680ac4b518ee19167759bc065d15f255
SHA1: 32668bba577ed4f79a90ccdb094ea80c38da1dba
SHA256: f15f0a13b24c17d7797a708e755fbc0accc38d18ed984667055e56aa4a593c53
SHA512: 3aa4640f49b27aef6e2837030d19449fe025a7b0bd88ed4c6f7cdde5972ea4c21383fccb271690539316c6463272c30cdda29dfc69d6db3135925a7c9096c98c
Homepage: https://cran.r-project.org/package=sim1000G
Description: CRAN Package 'sim1000G' (Genotype Simulations for Rare or Common Variants UsingHaplotypes from 1000 Genomes)
 Generates realistic simulated genetic data in families or unrelated
 individuals.

Package: r-cran-sim2dpredictr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-rdpack, r-cran-spam, r-cran-tibble, r-cran-dplyr, r-cran-matrixcalc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-sim2dpredictr_0.1.1-1.ca2004.1_all.deb
Size: 193892
MD5sum: 2ac4f56ab2e1be32cd3ee060d36fc5bc
SHA1: b8d9977a14990a0a1a6bbfd5ab11ddd58819653d
SHA256: 716f86ac4931664023c0666d7659f4160aa8cf81e47ce5cf6f984159b7fda601
SHA512: 0ebb50f011433615830171b90e9130f2ce9e692df4e9f91ea01241f9063dc6636e04ccd95cbd2191266b2dd0b6f7eeaadeb1df6da971bd211979233346c2bee4
Homepage: https://cran.r-project.org/package=sim2Dpredictr
Description: CRAN Package 'sim2Dpredictr' (Simulate Outcomes Using Spatially Dependent Design Matrices)
 Provides tools for simulating spatially dependent predictors (continuous or
 binary), which are used to generate scalar outcomes in a (generalized)
 linear model framework. Continuous predictors are generated using
 traditional multivariate normal distributions or Gauss Markov random fields
 with several correlation function approaches (e.g., see Rue (2001)
 <doi:10.1111/1467-9868.00288> and Furrer and Sain (2010)
 <doi:10.18637/jss.v036.i10>), while binary predictors are generated using a
 Boolean model (see Cressie and Wikle (2011, ISBN: 978-0-471-69274-4)).
 Parameter vectors exhibiting spatial clustering can also be easily specified
 by the user.

Package: r-cran-simaerep
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 828
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-forcats, r-cran-cowplot, r-cran-rcolorbrewer, r-cran-furrr, r-cran-progressr, r-cran-knitr, r-cran-tibble, r-cran-dbplyr
Suggests: r-cran-testthat, r-cran-devtools, r-cran-pkgdown, r-cran-spelling, r-cran-haven, r-cran-vdiffr, r-cran-lintr, r-cran-dbi, r-cran-duckdb, r-cran-ggextra
Filename: pool/dists/focal/main/r-cran-simaerep_0.7.0-1.ca2004.1_all.deb
Size: 736056
MD5sum: 5bfbdd0ccaaf39502c183daae72fe08e
SHA1: 231e3b783d43656ff17a3bffd156a49398b6db2b
SHA256: 7010a670ca78e68d18eea14c05752d52245d9f7c4d8401b6025e671210322a9f
SHA512: cf37ec02c8246547f8e51fa2f176aa27f4a074e0ed21a9d4ed5980a6b04c4ff56c43b554604ee0431f652402ed82bb6ebf36b28361aa06cf7475bea62453c470
Homepage: https://cran.r-project.org/package=simaerep
Description: CRAN Package 'simaerep' (Find Clinical Trial Sites Under-Reporting Adverse Events)
 Monitoring of Adverse Event (AE) reporting in clinical trials is important
 for patient safety. Sites that are under-reporting AEs can be detected using
 Bootstrap-based simulations that simulate overall AE reporting. Based on the
 simulation an AE under-reporting probability is assigned to each site in a
 given trial (Koneswarakantha 2021 <doi:10.1007/s40264-020-01011-5>).

Package: r-cran-simbarepro
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ddalpha, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simbarepro_0.1.0-1.ca2004.1_all.deb
Size: 229432
MD5sum: bf0f59ddff39851b3d98ffa14813cf0e
SHA1: 2b586e76c6f2f1a062772f4ed42ae913d6ec47be
SHA256: f9e805f198cc33570a5baea18bd20bb804eb94d398f68bff583744413b89abd7
SHA512: 9f91cd4003d80c98fa1f080a4e7d4b8f0d724c997814313534141dc4182e6d5b766c7e755600da36c72b05e722d6ba14353d9fe20a2c1a5765fe6024c0f9bc9f
Homepage: https://cran.r-project.org/package=SimBaRepro
Description: CRAN Package 'SimBaRepro' (Simulation-Based, Finite-Sample Inference via Repro Samples)
 Functions for obtaining p-values (for hypothesis tests), confidence
 intervals, and multivariate confidence sets. In particular, the method is
 compatible with differentially private dataset, as long as the privacy
 mechanism is known. For more details, see Awan and Wang (2024),
 "Simulation-based, Finite-sample Inference for Privatized Data",
 <doi:10.48550/arXiv.2303.05328>.

Package: r-cran-simbkmrdata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1103
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Suggests: r-cran-bkmr, r-cran-fields, r-cran-gt, r-cran-quarto, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-simbkmrdata_0.2.1-1.ca2004.1_all.deb
Size: 577616
MD5sum: 4e7b7a53c7f2bfa30cfb91f21c7cd09d
SHA1: f88b15cf26ec8441904c643e16ef0ddd2604f780
SHA256: d91af7edf94e070a112104bc180da77353fa90c394296dbba2f13df58e49d9b4
SHA512: df98945e1050bce31969d8ede1ebc490ae2229bcd3e34f5c85cc33abc6809a74dca6656c1dea5d51d358b16304111290a9f6e1c5f2749b8c9171541147b39210
Homepage: https://cran.r-project.org/package=simBKMRdata
Description: CRAN Package 'simBKMRdata' (Helper Functions for Bayesian Kernel Machine Regression)
 Provides a suite of helper functions to support Bayesian Kernel Machine
 Regression (BKMR) analyses in environmental health research. It enables the
 simulation of realistic multivariate exposure data using Multivariate Skewed
 Gamma distributions, estimation of distributional parameters by subgroup,
 and application of adaptive, data-driven thresholds for feature selection
 via Posterior Inclusion Probabilities (PIPs). It is especially suited for
 handling skewed exposure data and enhancing the interpretability of BKMR
 results through principled variable selection. The methodology is shown in
 Hasan et. al. (2025) <doi:10.1101/2025.04.14.25325822>.

Package: r-cran-simboot
Architecture: all
Version: 0.2-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-simboot_0.2-8-1.ca2004.1_all.deb
Size: 118500
MD5sum: 23457c6678831af76bec6d9ef573f298
SHA1: 7f8dc3a1818ebe8e17e654f3aa1407edc92a96b5
SHA256: ae448d0e25af60f964430e5c3f1d3f87f70fd80965c424e468bd651a464750dc
SHA512: 13d38320669704e2fea8c08cb2445a0d3e7ac78c14d121c88a949316b0f516175f05c9e6d25c2d9ca51f01a76428540851221333cbc5d516a5946f8c902e6f2e
Homepage: https://cran.r-project.org/package=simboot
Description: CRAN Package 'simboot' (Simultaneous Inference for Diversity Indices)
 Provides estimation of simultaneous bootstrap and asymptotic confidence
 intervals for diversity indices, namely the Shannon and the Simpson index.
 Several pre--specified multiple comparison types are available to choose.
 Further user--defined contrast matrices are applicable. In addition, simboot
 estimates adjusted as well as unadjusted p--values for two of the three
 proposed bootstrap methods. Further simboot allows for comparing biological
 diversities of two or more groups while simultaneously testing a
 user-defined selection of Hill numbers of orders q, which are considered as
 appropriate and useful indices for measuring diversity.

Package: r-cran-simcat
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-mirt, r-cran-mirtcat, r-cran-shiny, r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-simcat_1.0.1-1.ca2004.1_all.deb
Size: 79604
MD5sum: 24956721d48f5a518249b4c023420fa2
SHA1: a5238d095d6f54923d9ae2c1787118bd71df1f6d
SHA256: 1222e04eeb4b622516c2aac64bf8aa99ce9c12b1776cc0bba51a7a808faa16d5
SHA512: dc1dda68ad49ad02d793ce8b6a6fe248e2fbdbf730ac17d99cfc8834586567fb8454123e187c722a804ce7091d1ed80e8d8b5e870bc4403ec56c53f3b9251321
Homepage: https://cran.r-project.org/package=simCAT
Description: CRAN Package 'simCAT' (Implements Computerized Adaptive Testing Simulations)
 Computerized Adaptive Testing simulations with dichotomous and polytomous
 items. Selects items with Maximum Fisher Information method or randomly,
 with or without constraints (content balancing and item exposure control).
 Evaluates the simulation results in terms of precision, item exposure, and
 test length. Inspired on Magis & Barrada (2017) <doi:10.18637/jss.v076.c01>.

Package: r-cran-simcausal
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-stringr, r-cran-r6, r-cran-assertthat, r-cran-matrix
Suggests: r-cran-copula, r-cran-runit, r-cran-ltmle, r-cran-knitr, r-cran-ggplot2, r-cran-hmisc, r-cran-mvtnorm, r-cran-bindata
Filename: pool/dists/focal/main/r-cran-simcausal_0.5.7-1.ca2004.1_all.deb
Size: 966544
MD5sum: 7da9016b092bbd3cc84623151496392b
SHA1: b65129abe0e1b5bba289c1680cf4a9b0d2d6233b
SHA256: 619258b10e6fee90fc32942dd77e68b01dab5bcefe931ab7bf5c9aba51b2c144
SHA512: fe9fe43e609c4508342c862a43bd5c4a2282e303d206c040037a955cc573e1330ed7ab621bb1b5ad6a3db8b864808accaf885404a34a32528f2f7e868ee2e1de
Homepage: https://cran.r-project.org/package=simcausal
Description: CRAN Package 'simcausal' (Simulating Longitudinal Data with Causal Inference Applications)
 A flexible tool for simulating complex longitudinal data using structural
 equations, with emphasis on problems in causal inference.  Specify
 interventions and simulate from intervened data generating distributions.
 Define and evaluate treatment-specific means, the average treatment effects
 and coefficients from working marginal structural models.  User interface
 designed to facilitate the conduct of transparent and reproducible
 simulation studies, and allows concise expression of complex functional
 dependencies for a large number of time-varying nodes. See the package
 vignette for more information, documentation and examples.

Package: r-cran-simcomp
Architecture: all
Version: 3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-multcomp, r-cran-mratios
Filename: pool/dists/focal/main/r-cran-simcomp_3.6-1.ca2004.1_all.deb
Size: 183176
MD5sum: 153056f1cebfff0028f3dca8a61a710b
SHA1: 49ca3fb17d7d16b6f439b03271a597fbe0ca0737
SHA256: 2600706c8bf69b2c672dd5eb2e2a20cfcb98a326fa30d1227835c11b0336a4f3
SHA512: cd50cf734a337a3188bd214279ee6c231b04147d04e8f3c57427ec8dc053741e5d765e6571f5d5b5d40841a868f5c20b4a2483bdec52d866883fefa6db9fd002
Homepage: https://cran.r-project.org/package=SimComp
Description: CRAN Package 'SimComp' (Simultaneous Comparisons for Multiple Endpoints)
 Simultaneous tests and confidence intervals are provided for one-way
 experimental designs with one or many normally distributed, primary response
 variables (endpoints). Differences (Hasler and Hothorn, 2011
 <doi:10.2202/1557-4679.1258>) or ratios (Hasler and Hothorn, 2012
 <doi:10.1080/19466315.2011.633868>) of means can be considered. Various
 contrasts can be chosen, unbalanced sample sizes are allowed as well as
 heterogeneous variances (Hasler and Hothorn, 2008
 <doi:10.1002/bimj.200710466>) or covariance matrices (Hasler, 2014
 <doi:10.1515/ijb-2012-0015>).

Package: r-cran-simcop
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-simcop_0.7.3-1.ca2004.1_all.deb
Size: 375816
MD5sum: 3aef6a603ba9eb9a5884dc2bf8027cb4
SHA1: 1f6ead3a6c3af58f188168664b0d5b1bc9721471
SHA256: aa90fb6f55f86cd3b8325379e41f84a33abc133127ea78e697ea66295fb70174
SHA512: c80dd0896660c9a44a5eafb44639d37c95b3e2a13c4f73a902a382fc467f3be72193f6c011053be45a97d4edef547fc2703eff9c2d63eccad5de9dbc755e8723
Homepage: https://cran.r-project.org/package=SimCop
Description: CRAN Package 'SimCop' (Simulate from Arbitrary Copulae)
 Provides a framework to generating random variates from arbitrary
 multivariate copulae, while concentrating on (bivariate) extreme value
 copulae.  Particularly useful if the multivariate copulae are not available
 in closed form.  Detailed discussion of the methodologies used can be found
 in Tajvidi and Turlach (2018) <doi:10.1111/anzs.12209>.

Package: r-cran-simcormultres
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-evd
Suggests: r-cran-bookdown, r-cran-covr, r-cran-gee, r-cran-knitr, r-cran-multgee, r-cran-rmarkdown, r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simcormultres_1.9.0-1.ca2004.1_all.deb
Size: 566060
MD5sum: 1199a2ad48a7f6c9b359bdab7d0bbdf1
SHA1: 43f773fbea5cb3f4b098ffa1f1198dc14480d910
SHA256: 4f547dced3528856a5306ba3d42a3b8bd5109811e84c02b92b0cd9f7ff0ebfe8
SHA512: 388c19eeb17e250400008698f6996a5acf9bea45d3ac70d85ab1fc9e5d4f9c43da5faeec452c5c41150648a5259a4bd17fe1c315352b830c4cbf2ea1598b00d6
Homepage: https://cran.r-project.org/package=SimCorMultRes
Description: CRAN Package 'SimCorMultRes' (Simulates Correlated Multinomial Responses)
 Simulates correlated multinomial responses conditional on a marginal model
 specification.

Package: r-cran-simcorrmix
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4610
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-simmulticorrdata, r-cran-bb, r-cran-nleqslv, r-cran-mass, r-cran-mvtnorm, r-cran-matrix, r-cran-vgam, r-cran-triangle, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-printr, r-cran-bookdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simcorrmix_0.1.1-1.ca2004.1_all.deb
Size: 826140
MD5sum: 58a845641b6fe9e19de1ee4bc0d13d1b
SHA1: b17afd1d0c1adb044191f8de0f6f3406bf506c45
SHA256: a347c363fab843a9753c748641f5b76aa15a839e17de985a24da2538212b2aa2
SHA512: 26a463924dd2897710196e33e5e33798f2ac1538f5aa0d8672b67efc324d05cacca34ef39c0ac1812e0f12e101b050dcc9e50ac95dd3df489020227abff14b72
Homepage: https://cran.r-project.org/package=SimCorrMix
Description: CRAN Package 'SimCorrMix' (Simulation of Correlated Data with Multiple Variable TypesIncluding Continuous and Count Mixture Distributions)
 Generate continuous (normal, non-normal, or mixture distributions), binary,
 ordinal, and count (regular or zero-inflated, Poisson or Negative Binomial)
 variables with a specified correlation matrix, or one continuous variable
 with a mixture distribution.  This package can be used to simulate data sets
 that mimic real-world clinical or genetic data sets (i.e., plasmodes, as in
 Vaughan et al., 2009 <DOI:10.1016/j.csda.2008.02.032>).  The methods extend
 those found in the 'SimMultiCorrData' R package.  Standard normal variables
 with an imposed intermediate correlation matrix are transformed to generate
 the desired distributions.  Continuous variables are simulated using either
 Fleishman (1978)'s third order <DOI:10.1007/BF02293811> or Headrick (2002)'s
 fifth order <DOI:10.1016/S0167-9473(02)00072-5> polynomial transformation
 method (the power method transformation, PMT).  Non-mixture distributions
 require the user to specify mean, variance, skewness, standardized kurtosis,
 and standardized fifth and sixth cumulants.  Mixture distributions require
 these inputs for the component distributions plus the mixing probabilities.
 Simulation occurs at the component level for continuous mixture
 distributions.  The target correlation matrix is specified in terms of
 correlations with components of continuous mixture variables.  These
 components are transformed into the desired mixture variables using random
 multinomial variables based on the mixing probabilities.  However, the
 package provides functions to approximate expected correlations with
 continuous mixture variables given target correlations with the components.
 Binary and ordinal variables are simulated using a modification of
 ordsample() in package 'GenOrd'.  Count variables are simulated using the
 inverse CDF method.  There are two simulation pathways which calculate
 intermediate correlations involving count variables differently.
 Correlation Method 1 adapts Yahav and Shmueli's 2012 method
 <DOI:10.1002/asmb.901> and performs best with large count variable means and
 positive correlations or small means and negative correlations.  Correlation
 Method 2 adapts Barbiero and Ferrari's 2015 modification of the 'GenOrd'
 package <DOI:10.1002/asmb.2072> and performs best under the opposite
 scenarios.  The optional error loop may be used to improve the accuracy of
 the final correlation matrix.  The package also contains functions to
 calculate the standardized cumulants of continuous mixture distributions,
 check parameter inputs, calculate feasible correlation boundaries, and
 summarize and plot simulated variables.

Package: r-cran-simdag
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1949
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-rfast, r-cran-rlang, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-ggplot2, r-cran-ggforce, r-cran-mass, r-cran-covr, r-cran-foreach, r-cran-dosnow, r-cran-dorng, r-cran-simr, r-cran-rsurv, r-cran-survival
Filename: pool/dists/focal/main/r-cran-simdag_0.3.2-1.ca2004.1_all.deb
Size: 1098660
MD5sum: 3087a341873c18167cbbaa83aef514af
SHA1: 2378be81cc66d46ead8e87e47298227b0bdac011
SHA256: ff981421b3d661526ca97d6fc579a1c24604089287b4696962a6651eb9341804
SHA512: c1f373696a8143b38a6bdb3407932a485ebdda80facf2f0b99c52cb947695dc6ae7b34fb56c8ca682fb605513188fecd1fd31302f198d57c237012ab054332b1
Homepage: https://cran.r-project.org/package=simDAG
Description: CRAN Package 'simDAG' (Simulate Data from a DAG and Associated Node Information)
 Simulate complex data from a given directed acyclic graph and information
 about each individual node.  Root nodes are simply sampled from the
 specified distribution. Child Nodes are simulated according to one of many
 implemented regressions, such as logistic regression, linear regression,
 poisson regression and more. Also includes a comprehensive framework for
 discrete-time simulation, which can generate even more complex longitudinal
 data. For more details, see Robin Denz, Nina Timmesfeld (2025)
 <doi:10.48550/arXiv.2506.01498>.

Package: r-cran-simdata
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-mvtnorm, r-cran-igraph
Suggests: r-cran-doparallel, r-cran-dorng, r-cran-dplyr, r-cran-fitdistrplus, r-cran-forcats, r-cran-ggplot2, r-cran-ggally, r-cran-ggcorrplot, r-cran-knitr, r-cran-patchwork, r-cran-purrr, r-cran-reshape2, r-cran-rmarkdown, r-cran-nhanes, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simdata_0.4.1-1.ca2004.1_all.deb
Size: 735424
MD5sum: cf09c68a04c0562a8ac9077ad7eae2c1
SHA1: 1e49a27d66730040fff75231e17d0d3ce21c25c4
SHA256: f7ab5cb717ba1296442c1bbeed18901d879e3d35bd57f87e510b9294782653c0
SHA512: c5b8da16c94b9ad87e846be92442b1546f599c5e81badc7dfd49cf25a781e06ab08371a50d45fe4c53b274ceb8dc5d762d7ad62198028c7fc777bda191b00217
Homepage: https://cran.r-project.org/package=simdata
Description: CRAN Package 'simdata' (Generate Simulated Datasets)
 Generate simulated datasets from an initial underlying distribution and
 apply transformations to obtain realistic data. Implements the 'NORTA'
 (Normal-to-anything) approach from Cario and Nelson (1997) and other data
 generating mechanisms. Simple network visualization tools are provided to
 facilitate communicating the simulation setup.

Package: r-cran-simdd
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-circstats, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simdd_1.1-2-1.ca2004.1_all.deb
Size: 54820
MD5sum: 2dcf2ec338c6d58d092806eec18ab9cc
SHA1: 0f03a85dc306e48fe77fd86b3dcaf9c23bae3286
SHA256: 5b5a239aa0b771c4b98e6cae384b8ababa0883507cb31b22fba74ac8a8de88c7
SHA512: a444b487041b0f6ccf51bc58b8c059dc69d46a688789c6a6493fb7cee4ea37ffd464a76fa8563bf9ffdfed0b98943f5ddef0f7f89c042a9fc5abe80ef1c24d01
Homepage: https://cran.r-project.org/package=simdd
Description: CRAN Package 'simdd' (Simulation of Fisher Bingham and Related DirectionalDistributions)
 Simulation methods for the Fisher Bingham distribution on the unit sphere,
 the matrix Bingham distribution on a Grassmann manifold, the matrix Fisher
 distribution on SO(3), and the bivariate von Mises sine model on the torus.
 The methods use an acceptance/rejection simulation algorithm for the Bingham
 distribution and are described fully by Kent, Ganeiber and Mardia (2018)
 <doi:10.1080/10618600.2017.1390468>.  These methods supersede earlier MCMC
 simulation methods and are more general than earlier simulation methods.
 The methods can be slower in specific situations where there are existing
 non-MCMC simulation methods (see Section 8 of Kent, Ganeiber and Mardia
 (2018) <doi:10.1080/10618600.2017.1390468> for further details).

Package: r-cran-simdesign
Architecture: all
Version: 2.19.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7518
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-testthat, r-cran-parallelly, r-cran-dplyr, r-cran-sessioninfo, r-cran-beepr, r-cran-pbapply, r-cran-future, r-cran-future.apply, r-cran-progressr, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-ggplot2, r-cran-tidyr, r-cran-purrr, r-cran-shiny, r-cran-copula, r-cran-extradistr, r-cran-renv, r-cran-cli, r-cran-job, r-cran-future.batchtools, r-cran-frf2, r-cran-rmarkdown, r-cran-rpushbullet, r-cran-httr
Filename: pool/dists/focal/main/r-cran-simdesign_2.19.2-1.ca2004.1_all.deb
Size: 1145808
MD5sum: 288c793813a5d97616e5dde173f9180b
SHA1: 23a038135ab657ce806945afe13e6bf88b37882c
SHA256: 028f83dce493646cc1b3aeafe85d38bfd5400176430c58c7f5fc3bffbc45eff9
SHA512: ebf795410493c3259b5dda226b057f9d92f06f7cdb94ef63f17ff8f8317f2257749a731913346390cd73b4df9d5fe4d553e19c2dd18d873fbe741d026933960f
Homepage: https://cran.r-project.org/package=SimDesign
Description: CRAN Package 'SimDesign' (Structure for Organizing Monte Carlo Simulation Designs)
 Provides tools to safely and efficiently organize and execute Monte Carlo
 simulation experiments in R.  The package controls the structure and
 back-end of Monte Carlo simulation experiments by utilizing a
 generate-analyse-summarise workflow. The workflow safeguards against common
 simulation coding issues, such as automatically re-simulating non-convergent
 results, prevents inadvertently overwriting simulation files, catches error
 and warning messages during execution, implicitly supports parallel
 processing with high-quality random number generation, and provides tools
 for managing high-performance computing (HPC) array jobs submitted to
 schedulers such as SLURM. For a pedagogical introduction to the package see
 Sigal and Chalmers (2016) <doi:10.1080/10691898.2016.1246953>. For a more
 in-depth overview of the package and its design philosophy see Chalmers and
 Adkins (2020) <doi:10.20982/tqmp.16.4.p248>.

Package: r-cran-simdissolution
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-alabama, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-simdissolution_0.1.0-1.ca2004.1_all.deb
Size: 40128
MD5sum: 66f8e111a5965699f33dfee17a8944ce
SHA1: 78c616b817d79bac32460a8dd462c45e98da662e
SHA256: 526c26c1f9d0ba0277cee76ab996bcf8af3f41cd6324947641f4aa24011bf608
SHA512: 7a9bd8ff6dcfc7c3c87cfc425d37f8dd8a38f2397d5dfc4eacbd8cb3331de1c3204b63eda8825f1590b9b419edb7ad47aba5321d2cf67e1971aa40e69a46bc7a
Homepage: https://cran.r-project.org/package=SimDissolution
Description: CRAN Package 'SimDissolution' (Modeling and Assessing Similarity of Drug Dissolutions Profiles)
 Implementation of a model-based bootstrap approach for testing whether two
 formulations are similar. The package provides a function for fitting a
 pharmacokinetic model to time-concentration data and comparing the results
 for all five candidate models regarding the Residual Sum of Squares (RSS).
 The candidate set contains a First order, Hixson-Crowell, Higuchi, Weibull
 and a logistic model. The assessment of similarity implemented in this
 package is performed regarding the maximum deviation of the profiles. See
 Moellenhoff et al. (2018) <doi:10.1002/sim.7689> for details.

Package: r-cran-simdistr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-simdistr_1.0.1-1.ca2004.1_all.deb
Size: 23248
MD5sum: af664549cda52fb9f3f8bc227e83198b
SHA1: bbdfcc1d521087e08e30dd4d63230820060c9150
SHA256: c59a0e1055c1c4cf337e1fb00b1e693cbed839f817dd40f6eaa1447bbe6e6d31
SHA512: 45708df856f662ccad2495d7292dc78fb4dce80872d697f30f06c7f75829bd2612fe64e11055a529f2d7601556cd2706872c1b3be2cc0036522a22722519626c
Homepage: https://cran.r-project.org/package=simdistr
Description: CRAN Package 'simdistr' (Assessment of Data Trial Distributions According to theCarlisle-Stouffer Method)
 Assessment of the distributions of baseline continuous and categorical
 variables in randomised trials. This method is based on the
 Carlisle-Stouffer method with Monte Carlo simulations. It calculates
 p-values for each trial baseline variable, as well as combined p-values for
 each trial - these p-values measure how compatible are distributions of
 trials baseline variables with random sampling. This package also allows for
 graphically plotting the cumulative frequencies of computed p-values.
 Please note that code was partly adapted from Carlisle JB, Loadsman JA.
 (2017) <doi:10.1111/anae.13650>.

Package: r-cran-simdnamixtures
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-naturalsort, r-cran-pedprobr, r-cran-xml2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-pedtools, r-cran-testthat, r-cran-readr, r-cran-readxl, r-cran-withr
Filename: pool/dists/focal/main/r-cran-simdnamixtures_1.1.2-1.ca2004.1_all.deb
Size: 889660
MD5sum: 447aff44db3c52471d75160db7b28ee8
SHA1: 69efa14fe7e037c96e7e129b688bf848001b76f6
SHA256: 3a3646c9be7704f2fe46539e5b3f3bd4f375bc9fce1d7492d3f2d68cae3c0961
SHA512: bd688ed7d70b6a9674f4cc0607cf757e8dac39a6a75df9708bff386851f5b92ca8b06a9fac745dceba012b6f66cab31c2b7d86c55ac7efbcac9c807402548db0
Homepage: https://cran.r-project.org/package=simDNAmixtures
Description: CRAN Package 'simDNAmixtures' (Simulate Forensic DNA Mixtures)
 Mixed DNA profiles can be sampled according to models for probabilistic
 genotyping. Peak height variability is modelled using a log normal
 distribution or a gamma distribution. Sample contributors may be related
 according to a pedigree.

Package: r-cran-simed
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 830
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rstream, r-cran-shape
Suggests: r-cran-magick
Filename: pool/dists/focal/main/r-cran-simed_2.0.1-1.ca2004.1_all.deb
Size: 788872
MD5sum: 0ba655b9851d1e4cb2bdef721d189a38
SHA1: 1fdc3f2f9ebd4d4cf6134f4eb84dfb487620b30a
SHA256: 1ff7974c552a6e2a85366745c04847993d2903aa6e61516457702d174d238250
SHA512: 6bd8bc945f97c51d4b3560a09a4adcb32b6bd64611214301546b873576d70e4d34261f0f9804904931d8e28ba8e67da1db1b49ff867fe0d697393787dacfdde4
Homepage: https://cran.r-project.org/package=simEd
Description: CRAN Package 'simEd' (Simulation Education)
 Contains various functions to be used for simulation education, including
 simple Monte Carlo simulation functions, queueing simulation functions,
 variate generation functions capable of producing independent streams and
 antithetic variates, functions for illustrating random variate generation
 for various discrete and continuous distributions, and functions to compute
 time-persistent statistics.  Also contains functions for visualizing:
 event-driven details of a single-server queue model; a Lehmer random number
 generator; variate generation via acceptance-rejection; and of generating a
 non-homogeneous Poisson process via thinning.  Also contains two queueing
 data sets (one fabricated, one real-world) to facilitate input modeling.
 More details on the use of these functions can be found in Lawson and Leemis
 (2015) <doi:10.1109/WSC.2017.8248124>, in Kudlay, Lawson, and Leemis (2020)
 <doi:10.1109/WSC48552.2020.9384010>, and in Lawson and Leemis (2021)
 <doi:10.1109/WSC52266.2021.9715299>.

Package: r-cran-simengine
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 935
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-pbapply, r-cran-data.table, r-cran-rlang, r-cran-mass
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-ggplot2, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-simengine_1.4.0-1.ca2004.1_all.deb
Size: 651520
MD5sum: f82f982903756165cb2376b8d48081db
SHA1: 984dd82ae57117c1251e5b349026954962dab249
SHA256: 78ffbe19d000b2b4f9ec10ac55958016df75ad1e4836f046af196b5a7a80a0e7
SHA512: fbad2a54789001c3fb9b2728aa61a527ce5776074e808c43b70d0f92127567edf8bc9579dfbd523c59a15667fefe69fa57e89c93b7c98cdfb21a754ba136e4af
Homepage: https://cran.r-project.org/package=SimEngine
Description: CRAN Package 'SimEngine' (A Modular Framework for Statistical Simulations in R)
 An open-source R package for structuring, maintaining, running, and
 debugging statistical simulations on both local and cluster-based computing
 environments.See full documentation at
 <https://avi-kenny.github.io/SimEngine/>.

Package: r-cran-simet
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpmisc, r-cran-ggpubr, r-cran-lubridate, r-cran-magrittr, r-cran-plyr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-simet_1.0.3-1.ca2004.1_all.deb
Size: 296288
MD5sum: 16cd4789a45ac0cb1057853c4551193d
SHA1: 708f421f2601ba7a38029a2892295d45c2c2ed4d
SHA256: 67d879a640e2b2688cfdc16467b7377e1063a0fae98d578c9906923a7bdd99d7
SHA512: ad1c97d0725265f0f0cb5163a32bbebfe49ace7757c0140c7835fa1370ad5f0f2bf077e8cce12abeaa98f28c524877d1866bd7c65fdd3009ea473602dae84788
Homepage: https://cran.r-project.org/package=simET
Description: CRAN Package 'simET' (Tools for Simulation of Evapotranspiration of Field Crops andSoil Water Balance)
 Supports the calculation of meteorological characteristics in
 evapotranspiration research and reference crop evapotranspiration, and
 offers three models to simulate crop evapotranspiration and soil water
 balance in the field, including single crop coefficient and dual crop
 coefficient, as well as the Shuttleworth-Wallace model. These calculations
 main refer to Allen et al.(1998, ISBN:92-5-104219-5), Teh (2006,
 ISBN:1-58-112-998-X), and Liu et al.(2006)
 <doi:10.1016/j.agwat.2006.01.018>.

Package: r-cran-simevolenzcons
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 841
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-ade4, r-cran-rcolorbrewer, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-simevolenzcons_2.0.0-1.ca2004.1_all.deb
Size: 799768
MD5sum: ebfd977fd8e9935ec6e2b040200b259f
SHA1: d2982aae8c6c0730cb8236b871191ce6fb2ab555
SHA256: a0341e1a1b41c79129b0e0dba51844c380cc36ea2569ade3e055718fa672fd94
SHA512: de4783155c058f211a60d7e91abee8f1ef5854e529f30de8ac7a076a82020d23c63c46eb4b44617f75472e55d2f52afa6444780cdae2be89fee59c8aaed1f48e
Homepage: https://cran.r-project.org/package=SimEvolEnzCons
Description: CRAN Package 'SimEvolEnzCons' (Simulation of Evolution of Enzyme Under Constraints)
 Simulate the evolution of enzyme concentrations under selection for
 increased flux in a metabolic pathway, with cellular constraints.  Create
 graphics for the simulation results.  Compute evolutionary equilibrium and
 Range of Neutral Variations of enzyme concentrations.  This package is part
 of "Coton, C., Talbot, G., Le Louarn, M., Dillmann, C., de Vienne, D. (2021)
 <bioRxiv:10.1101/2021.05.04.442631>".  Version 2.0.0 and more takes account
 of regulation groups, and is part of a second article "Coton, C., Dillmann,
 C., de Vienne, D. (in progress)".

Package: r-cran-simex
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mgcv, r-cran-nlme, r-cran-mass, r-cran-survival
Filename: pool/dists/focal/main/r-cran-simex_1.8-1.ca2004.1_all.deb
Size: 117776
MD5sum: ad166c6ce1af544ef71061e78a78c3d7
SHA1: 467fc0a09e8920aad6324c688ed887b940cd06dd
SHA256: 414f1756b22976c941264ef62ca459ef3613900bdad9998f9bca2b5da8ce0ee2
SHA512: 0d2bd32405c5d58362fbdcbe22f3e0260c23336011f4d7f860c5add58507b5eaf1336add8bfe3d938eafe8abde8bce34b6aacfe37f790620afcf95924dd4ca63
Homepage: https://cran.r-project.org/package=simex
Description: CRAN Package 'simex' (SIMEX- And MCSIMEX-Algorithm for Measurement Error Models)
 Implementation of the SIMEX-Algorithm by Cook & Stefanski (1994)
 <doi:10.1080/01621459.1994.10476871> and MCSIMEX by Küchenhoff, Mwalili &
 Lesaffre (2006) <doi:10.1111/j.1541-0420.2005.00396.x>.

Package: r-cran-simexaft
Architecture: all
Version: 1.0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-simexaft_1.0.7.1-1.ca2004.1_all.deb
Size: 55968
MD5sum: cc3bf1ad4dd05b0c0abc034e30896688
SHA1: 055ac616d071acd90fb3800325603c4f90e0e7a8
SHA256: cc28f5bda7946740f733e6471b7d2130c295f93f54b55eb53ccc77a1fc4e6018
SHA512: 8f6bf86bde82d37f1a7c9cdd899c7b5da60ef9470f7859ec2df20f5ba1150c5f65753989b0bc73f109222be380b1fff8e3bcd4994581ec5e035c86e379407619
Homepage: https://cran.r-project.org/package=simexaft
Description: CRAN Package 'simexaft' (simexaft)
 Implement of the Simulation-Extrapolation (SIMEX) algorithm for the
 accelerated failure time (AFT) with covariates subject to measurement error.

Package: r-cran-simexam
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-msm
Filename: pool/dists/focal/main/r-cran-simexam_1.0.0-1.ca2004.1_all.deb
Size: 47700
MD5sum: f6687fa74eb83cf22cfaf252f0345df3
SHA1: bdbb57d3986457b3ff29366feddda0cf0e6c464d
SHA256: 6177f57939e3c31053b0a2da6ed0afca0082163cb052188ce05a5b15a4aff477
SHA512: 1539884fee815d845c61c1d80c49d9a0d919c1615a62fd08f6f9a0995a1efac6ff8fdaff4cee5bb1b3fd8fefbe5a636545545d1da53ccba510c9e5123ba02324
Homepage: https://cran.r-project.org/package=simExam
Description: CRAN Package 'simExam' (Generate Simulated Data for IRT-Enabled Exams)
 Generates binary test data based on Item Response Theory using the
 two-parameter logistic model (Lord, 1980 <doi:10.4324/9780203056615>).
 Useful functions for test equating are included, e.g. functions for
 generating internal and external common items between test forms and a
 function to create a linkage plans between those forms. Ancillary functions
 for generating true item and person parameters as well as for calculating
 the probability of a person correctly answering an item are also included.

Package: r-cran-simfinapi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-data.table, r-cran-httr2, r-cran-lifecycle, r-cran-memoise, r-cran-rcppsimdjson
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simfinapi_1.0.0-1.ca2004.1_all.deb
Size: 117568
MD5sum: 4607043ce3d85cbb4d78fdf557824fdb
SHA1: ea0e15ff169f72367bf40d8fc11081cc17831a24
SHA256: 27c0482a14a4d00d4d5f72f8a224b58b8d894c2634c83ed7f480b4d4bdbc9c09
SHA512: c20b6ee4051e4bf7a2a4d2468095a425013e8b3a60e04b54a3f574535778ab8d8eb0e2d7e9f3c8f54ac1c4a726f1f477afcf8b9443e443db81628c857f60be48
Homepage: https://cran.r-project.org/package=simfinapi
Description: CRAN Package 'simfinapi' (Accessing 'SimFin' Data)
 Through simfinapi, you can intuitively access the 'SimFin' Web-API
 (<https://www.simfin.com/>) to make 'SimFin' data easily available in R. To
 obtain an 'SimFin' API key (and thus to use this package), you need to
 register at <https://app.simfin.com/login>.

Package: r-cran-simfit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simfit_0.1.0-1.ca2004.1_all.deb
Size: 30200
MD5sum: 4181628ef2bfa97e3d2a02f2dd3c7ea4
SHA1: 0c9dc0fc45db3edb6db4ba1ca5e7335fea47c011
SHA256: a2d2208d08cec2811af1dbc1fd1563b7b39ec14213936489f52328aabc5ad300
SHA512: 3fdab08da85f078f1ff4c838d0037eeae783ab93ae373c7be0346d3a5ec765a11da32ec2797b85ac19cc451c889af7d07224302e4e9a1fc12facba9ab42c70be
Homepage: https://cran.r-project.org/package=simfit
Description: CRAN Package 'simfit' (Test Model Fit with Simulation)
 Simulates data from model objects (e.g., from lm(), glm()), and plots this
 along with the original data to compare how well the simulated data matches
 the original data to determine model fit.

Package: r-cran-simglm
Architecture: all
Version: 0.8.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-purrr, r-cran-broom, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-lme4, r-cran-nlme, r-cran-testthat, r-cran-shiny, r-cran-e1071, r-cran-ggplot2, r-cran-tidyr, r-cran-geepack, r-cran-rmarkdown, r-cran-future, r-cran-covr
Filename: pool/dists/focal/main/r-cran-simglm_0.8.9-1.ca2004.1_all.deb
Size: 240976
MD5sum: 472cb86214ed61c80cf2381f214343b4
SHA1: fc6d6ab126be39f87e3625ca910ce80e20d4f112
SHA256: d9ce58cc5548e6a892a5723ee8a71e09f0e8cb513e9c871bae0be2d6b7f21e38
SHA512: b90323e906bdbf80466ecba2a11ec3f1f54b4fe47c2cbea7a15b0161762aac3b13cad3a735a75bc9247c50d71098c9df652385a411492956c19c151be2c6822e
Homepage: https://cran.r-project.org/package=simglm
Description: CRAN Package 'simglm' (Simulate Models Based on the Generalized Linear Model)
 Simulates regression models, including both simple regression and
 generalized linear mixed models with up to three level of nesting. Power
 simulations that are flexible allowing the specification of missing data,
 unbalanced designs, and different random error distributions are built into
 the package.

Package: r-cran-simgof
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ddst
Filename: pool/dists/focal/main/r-cran-simgof_1.0.2-1.ca2004.1_all.deb
Size: 30552
MD5sum: d462fa74a68b086b4b44ba090001e0df
SHA1: bcdaac13975e727da1ef71706b499987212644af
SHA256: c38a72865e64472df57467f6243643291d707b35fd9c8e157d3bb8ff1f4edc3e
SHA512: 29240ea3ea258bf48662b56f6307cebb606b80eeefb5032ebb3101016d13d80ba7c2ffb5cf7fde2186f4aff4a0135df8ae64713fc134d5407ae39286691f2050
Homepage: https://cran.r-project.org/package=simgof
Description: CRAN Package 'simgof' (Simultaneous Goodness-of-Fits Tests)
 Routine that allows the user to run several goodness-of-fit tests.  It also
 combines the tests and returns a properly adjusted family-wise p value.
 Details can be found in <arXiv:2007.04727>.

Package: r-cran-simhaz
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-simhaz_0.1-1.ca2004.1_all.deb
Size: 83412
MD5sum: 0461f65fa13aa306ad8445bdfbfa6f9b
SHA1: 8bfdd66f478e0508ce6488c5a89aba390c12287f
SHA256: 50283c5707855fc88221f35221589f405b4fd404bba2f86e1d3aa19cd673d50a
SHA512: af407f60d7cbc87dfab97dd47760c6887e677f664564aa70565af43813fa34744923f0b64ea65ca6371c108d8496195b19a559bd7f5f6796c411ed9795e3b7d4
Homepage: https://cran.r-project.org/package=SimHaz
Description: CRAN Package 'SimHaz' (Simulated Survival and Hazard Analysis for Time-DependentExposure)
 Generate power for the Cox proportional hazards model by simulating survival
 events data with time dependent exposure status for subjects. A dichotomous
 exposure variable is considered with a single transition from unexposed to
 exposed status during the subject's time on study.

Package: r-cran-simhelpers
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1269
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-furrr, r-cran-tidyr, r-cran-rstudioapi, r-cran-rdpack
Suggests: r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-future, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-covr, r-cran-testthat, r-cran-kableextra, r-cran-ggplot2, r-cran-broom, r-cran-boot
Filename: pool/dists/focal/main/r-cran-simhelpers_0.3.1-1.ca2004.1_all.deb
Size: 947324
MD5sum: 7beac3f74dacbf961948d377bfd9148f
SHA1: 7b2d86162301327ad566b4aeec29aa3b38b30e0d
SHA256: 746c8b97fd50ceb8dc1225da434794ef1201343afbdf34f25c3d78d7cacd85d6
SHA512: 37fd3fefa6d88740b19cc6dc057e1ff9b0113991d033c1814f7c9d418ff9d3391827df1f02de008cbd7a8be9fc08cd6fa37837f7f1d1ac05bba96ba14eb10555
Homepage: https://cran.r-project.org/package=simhelpers
Description: CRAN Package 'simhelpers' (Helper Functions for Simulation Studies)
 Calculates performance criteria measures and associated Monte Carlo standard
 errors for simulation results. Includes functions to help run simulation
 studies, following a general simulation workflow that closely aligns with
 the approach described by Morris, White, and Crowther (2019)
 <DOI:10.1002/sim.8086>. Also includes functions for calculating bootstrap
 confidence intervals (including normal, basic, studentized, percentile,
 bias-corrected, and bias-corrected-and-accelerated) with tidy output, as
 well as for extrapolating confidence interval coverage rates and hypothesis
 test rejection rates following techniques suggested by Boos and Zhang (2000)
 <DOI:10.1080/01621459.2000.10474226>.

Package: r-cran-simico
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bindata, r-cran-fastghquad, r-cran-compquadform, r-cran-icskat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simico_0.2.0-1.ca2004.1_all.deb
Size: 143560
MD5sum: 8a5ef20b4035b9444fe9476efad1babf
SHA1: 40e52ec1ac10bf9d931c653b3bcb15296a840f1b
SHA256: ebf34bd7c6f698244dd23d6c3d0b9598f6ab1ff4e126ce553102ca74f77ef7da
SHA512: 550d17555fd7d77c67d7a572eea7fe97d9c29a0f099077442c32f955300ab9b5dbf26442ef78c6e0c73d859dadc8295193257b3d83fb9d9bc19f0fbe0dbc0961
Homepage: https://cran.r-project.org/package=SIMICO
Description: CRAN Package 'SIMICO' (Set-Based Inference for Multiple Interval-Censored Outcomes)
 Contains tests for association between a set of genetic variants and
 multiple correlated outcomes that are interval censored. Interval-censored
 data arises when the exact time of the onset of an outcome of interest is
 unknown but known to fall between two time points.

Package: r-cran-simidm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1197
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-furrr, r-cran-future, r-cran-mstate, r-cran-parallelly, r-cran-survival
Suggests: r-cran-coxphw, r-cran-knitr, r-cran-mvna, r-cran-prodlim, r-cran-rmarkdown, r-cran-rpact, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simidm_0.1.0-1.ca2004.1_all.deb
Size: 765768
MD5sum: 00a806836452f671080af568276271b8
SHA1: 7bb945d0113a271b60e51ee8b2aa163399bc6caf
SHA256: 93e09d7a189b00a9b66724782f607f342b5684b808069a83766b014023593ee2
SHA512: 71b4dc87450e254d220fdda01912a9f2b75bd2f1ec7e42d8176e247b453521f2533d57d39877fc4d749f6223472a03a6e8272b8323d4ba669daa171dff538e14
Homepage: https://cran.r-project.org/package=simIDM
Description: CRAN Package 'simIDM' (Simulating Oncology Trials using an Illness-Death Model)
 Based on the illness-death model a large number of clinical trials with
 oncology endpoints progression-free survival (PFS) and overall survival (OS)
 can be simulated, see Meller, Beyersmann and Rufibach (2019)
 <doi:10.1002/sim.8295>.  The simulation set-up allows for random and
 event-driven censoring, an arbitrary number of treatment arms, staggered
 study entry and drop-out.  Exponentially, Weibull and piecewise
 exponentially distributed survival times can be generated. The correlation
 between PFS and OS can be calculated.

Package: r-cran-similaritymeasures
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-similaritymeasures_1.4-1.ca2004.1_all.deb
Size: 88808
MD5sum: 79a1a6cbfa5bac6954c9f492a5272eae
SHA1: c7f659ff45e914a017b9a72ec221c35f352a3d10
SHA256: 3ad74bec1901073e1bf41080ea4ac0535bfbf80d5efe320d4e0a5c9e55924343
SHA512: 7ef08175194d14f5bae616e7dc035daff5e92fbf5b6f0edf01a56e70b4d1109082c5e8e6121f4f1406865d0dd592ee2f1386012f145d2e9ad3ad3d03b7172d7f
Homepage: https://cran.r-project.org/package=SimilarityMeasures
Description: CRAN Package 'SimilarityMeasures' (Trajectory Similarity Measures)
 Functions to run and assist four different similarity measures. The
 similarity measures included are: longest common subsequence (LCSS), Frechet
 distance, edit distance and dynamic time warping (DTW). Each of these
 similarity measures can be calculated from two n-dimensional trajectories,
 both in matrix form.

Package: r-cran-simile
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-simile_1.3.4-1.ca2004.1_all.deb
Size: 61272
MD5sum: b117591b451f4c19a631a5f6cbd2981d
SHA1: 2104dc2c82ef0bd8cb1a4584c95963104d7d6c62
SHA256: b8e37a80a6242e8ab83a7daf6691b764f5794e50933470f9acb36ad19cc5daac
SHA512: f2c1019e866b3a8c9378295aae3b96d6605a962eb9c52752d763856e73747afbf60e9e35184e7a8edf93df984291eda8f42a2a20370b9354e20cc005d86d6c51
Homepage: https://cran.r-project.org/package=Simile
Description: CRAN Package 'Simile' (Interact with Simile Models)
 Allows a Simile model saved as a compiled binary to be loaded,
 parameterized, executed and interrogated. This version works with Simile v6
 on.

Package: r-cran-simireff
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rvinecopulib, r-cran-truncnorm, r-cran-bde, r-cran-ks, r-cran-np, r-cran-extradistr
Filename: pool/dists/focal/main/r-cran-simireff_1.0-1.ca2004.1_all.deb
Size: 132464
MD5sum: 60177a9701f018043fca6eb046bee45b
SHA1: 0bbaeb90160f0b58771136836fc562601e6f2ce6
SHA256: 45244bf4e5930ff31e11fddbe8250dd85b13f1f0113f5e7131f8778743d8f086
SHA512: 5aa220519bd42171690d3a5b2423590c8191b4009b326e3f20bafaa679504825ee8223b9e54cda147e51d2f6367ee08561ac444cb889d9750ca385b38454de3a
Homepage: https://cran.r-project.org/package=simIReff
Description: CRAN Package 'simIReff' (Stochastic Simulation for Information Retrieval Evaluation:Effectiveness Scores)
 Provides tools for the stochastic simulation of effectiveness scores to
 mitigate data-related limitations of Information Retrieval evaluation
 research, as described in Urbano and Nagler (2018)
 <doi:10.1145/3209978.3210043>. These tools include: fitting, selection and
 plotting distributions to model system effectiveness, transformation towards
 a prespecified expected value, proxy to fitting of copula models based on
 these distributions, and simulation of new evaluation data from these
 distributions and copula models.

Package: r-cran-simitation
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-devtools, r-cran-markdown, r-cran-formatr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simitation_0.0.7-1.ca2004.1_all.deb
Size: 228612
MD5sum: f26c2134adbeaf020bb4199d938c8f00
SHA1: 930a45cdde06e1c79a14212a69075d6a7e7af808
SHA256: 369a86545c57a5b973abf67200048cb84bc1544ff56864b4c248c2b5fe33aab6
SHA512: 0aa31b0849ed8d707caf0bf30ab2e3eda725245897d0395a2c9c0b1316bcfb897d15c12ac3ec10d0eb31ab2d1c52513d19e1d930b9060d6b4641c87d43560688
Homepage: https://cran.r-project.org/package=simitation
Description: CRAN Package 'simitation' (Simplified Simulations)
 Provides tools for generating and analyzing simulation studies. Users may
 easily specify all terms of a simulation study, often in a single line of
 code. Common univariate and bivariate methods, such as t tests, proportions
 tests, and chi squared tests, are integrated. Multivariate studies involving
 linear or logistic regression may also be specified with symbolic inputs.
 The simulation studies generate data for n observations in each of B
 experiments. Analyses of each experiment are integrated, and empirical
 results across the experiments are also provided.

Package: r-cran-simits
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-arm, r-cran-ggplot2, r-cran-knitr, r-cran-plyr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-simits_0.1.1-1.ca2004.1_all.deb
Size: 326692
MD5sum: 6484e3b9610c89bbd4c6b8fb93e4a11a
SHA1: b9ccd4f88e52aa05a14b9114533ac40d755504b7
SHA256: 86c59caf61b8bbd64cfa5d334c648b0db604a6ce7aa9ef5f79e1e31ca283d1e6
SHA512: 198c1999eaf2a012ac37bb5406c8123732b93335847e7d5b33d8022d89081c090045be36c5004ebd1aedc85b0d02ff9398ef24b2d34989c1d608b15bbb989e96
Homepage: https://cran.r-project.org/package=simITS
Description: CRAN Package 'simITS' (Analysis via Simulation of Interrupted Time Series (ITS) Data)
 Uses simulation to create prediction intervals for post-policy outcomes in
 interrupted time series (ITS) designs, following Miratrix (2020)
 <arXiv:2002.05746>. This package provides methods for fitting ITS models
 with lagged outcomes and variables to account for temporal dependencies.  It
 then conducts inference via simulation, simulating a set of plausible
 counterfactual post-policy series to compare to the observed post-policy
 series. This package also provides methods to visualize such data, and also
 to incorporate seasonality models and smoothing and
 aggregation/summarization.  This work partially funded by Arnold Ventures in
 collaboration with MDRC.

Package: r-cran-simlandr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1630
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigmemory, r-cran-coda, r-cran-digest, r-cran-dplyr, r-cran-forcats, r-cran-furrr, r-cran-gganimate, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-ks, r-cran-lifecycle, r-cran-magrittr, r-cran-mass, r-cran-plotly, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-sim.diffproc, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-simlandr_0.4.0-1.ca2004.1_all.deb
Size: 1152860
MD5sum: a0a1e0b53115afd043a323d592f044a8
SHA1: 5a2fb069a7add56d0d31ca87eb78278543ba732f
SHA256: 7e5a2ad49a0399cfe408388586a8936186e63e23086585c7b91b3cac9b2a8fbd
SHA512: 9fda855745d80585bcc02a63c5c3053d7b46d1fa9d1e207d614f29b267be70356ff14776250096334581a93f5af41607d777dca851ccd2654827937f266a2288
Homepage: https://cran.r-project.org/package=simlandr
Description: CRAN Package 'simlandr' (Simulation-Based Landscape Construction for Dynamical Systems)
 A toolbox for constructing potential landscapes for dynamical systems using
 Monte Carlo simulation.  The method is based on the potential landscape
 definition by Wang et al. (2008) <doi:10.1073/pnas.0800579105> (also see
 Zhou & Li, 2016 <doi:10.1063/1.4943096> for further mathematical
 discussions) and can be used for a large variety of models.

Package: r-cran-simle
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-plotly, r-cran-stringr, r-cran-rcurl, r-cran-sie2nts
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simle_0.1.0-1.ca2004.1_all.deb
Size: 219856
MD5sum: dbc0a79158abf5503a5bfdb17d8c7154
SHA1: 215b23cb6d00f57f1ec8af4f73c4cc8a44917223
SHA256: 7f290e3ef9d0ce2dfb97bd9e511dadc41a0953654e5c08ef2d700667510f987e
SHA512: 9ed9ecfcdafbb3567d382b66470415daed6cdd0a6cb84c6bf964a4053373491b9955111c85df2da17692246e4480bb5689e143b0627ed69c934bcfda70f1562b
Homepage: https://cran.r-project.org/package=SIMle
Description: CRAN Package 'SIMle' (Estimation and Inference for General Time Series Regression)
 We provide functions for estimation and inference of nonlinear and
 non-stationary time series regression using the sieve methods and
 bootstrapping procedure.

Package: r-cran-simmer.bricks
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-simmer
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simmer.bricks_0.2.2-1.ca2004.1_all.deb
Size: 40804
MD5sum: dc8725e5ee7c078d6fe923417b2eb8a8
SHA1: d616e9711eb44785fbb48bb1ab617b1d88fd79d2
SHA256: 1d66f4edc488c6bb823b66c708b7fe43d55e38e8c11cc61594ef3b99a33dfe77
SHA512: 8103b65f77c8f144f05e3a10ed162ad559b21eb68477767a3b6e39b07618cc0dbf96f8e854586bfdb63bcc02f800c62d51d2f413645f131468544d5bfecb725c
Homepage: https://cran.r-project.org/package=simmer.bricks
Description: CRAN Package 'simmer.bricks' (Helper Methods for 'simmer' Trajectories)
 Provides wrappers for common activity patterns in 'simmer' trajectories.

Package: r-cran-simmer.plot
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-simmer, r-cran-ggplot2, r-cran-diagrammer, r-cran-dplyr, r-cran-tidyr, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simmer.plot_0.1.18-1.ca2004.1_all.deb
Size: 165896
MD5sum: dd5ef4a024a7a56460b67d546abb03eb
SHA1: fd351ce9646b3389c8a476df74222545e8fd418c
SHA256: ce6c39ce2613e8125633dbef92d92f2daa749f9527da87db99034304bd66bb6b
SHA512: 7147c053eb1f8252e08fbda289c4150184334c7f3bdc247dac1ec958c04782cc2c9a87718f266f47e6a37de1c875143589541a8fe21d2d49d03c3906bd22d69a
Homepage: https://cran.r-project.org/package=simmer.plot
Description: CRAN Package 'simmer.plot' (Plotting Methods for 'simmer')
 A set of plotting methods for 'simmer' trajectories and simulations.

Package: r-cran-simmetric
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simmetric_0.1.1-1.ca2004.1_all.deb
Size: 383344
MD5sum: 89b2f5c3fb5d0ab1bab3cc0029c52e5d
SHA1: 713f2cd11953baf267cd37e761ac492348426a27
SHA256: e538a4b0430d222fba97e4146cbf481fa1f474e7b9ce64ce5431395085fba119
SHA512: cbd00b013b19b09ff1d3235a0b6911d29d5879662d0ab15d7f9d8eb34c16aec60f956139257e74c3aad2cf8461323a71368eed1dd681e8741534173875f5250f
Homepage: https://cran.r-project.org/package=simMetric
Description: CRAN Package 'simMetric' (Metrics (with Uncertainty) for Simulation Studies that EvaluateStatistical Methods)
 Allows users to quickly apply individual or multiple metrics to evaluate
 Monte Carlo simulation studies.

Package: r-cran-simml
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-simml_0.3.0-1.ca2004.1_all.deb
Size: 67540
MD5sum: 3f37bb29016a1e0d929211005eadc8af
SHA1: 5c5eb9496e915e5ff2595a027ffdaf4af4d7e3b1
SHA256: 2b5783fc826d8383974b457ee57321506d974f02fd037eb603d53f287196005d
SHA512: 7cb114e609c844c8cbb07ae90e92b66d955c1e24f0a99f8e0b6ed11276d1438ddadef026b719036a41f46a8992deacd08fe2cd35c22d641f1bcf2a6502141487
Homepage: https://cran.r-project.org/package=simml
Description: CRAN Package 'simml' (Single-Index Models with Multiple-Links)
 A major challenge in estimating treatment decision rules from a randomized
 clinical trial dataset with covariates measured at baseline lies in
 detecting relatively small treatment effect modification-related variability
 (i.e., the treatment-by-covariates interaction effects on treatment
 outcomes) against a relatively large non-treatment-related variability
 (i.e., the main effects of covariates on treatment outcomes). The class of
 Single-Index Models with Multiple-Links is a novel single-index model
 specifically designed to estimate a single-index (a linear combination) of
 the covariates associated with the treatment effect modification-related
 variability, while allowing a nonlinear association with the treatment
 outcomes via flexible link functions. The models provide a flexible
 regression approach to developing treatment decision rules based on
 patients' data measured at baseline. We refer to Park, Petkova, Tarpey, and
 Ogden (2020) <doi:10.1016/j.jspi.2019.05.008> and Park, Petkova, Tarpey, and
 Ogden (2020) <doi:10.1111/biom.13320> (that allows an unspecified X main
 effect) for detail of the method. The main function of this package is
 simml().

Package: r-cran-simmp
Architecture: all
Version: 0.17.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-bioc-biostrings, r-bioc-bsgenome, r-bioc-genomeinfodb, r-bioc-genomicranges, r-bioc-iranges, r-bioc-xvector
Suggests: r-bioc-bsgenome.hsapiens.ucsc.hg38
Filename: pool/dists/focal/main/r-cran-simmp_0.17.3-1.ca2004.1_all.deb
Size: 43144
MD5sum: 421c3f169115b6498adb04500c763652
SHA1: 3c7c28c6be3b895284def12b0fe4975e91d94598
SHA256: 0cb5afa21d54e3a3a5553ac54421a71a1c4d231eaed20111abaa25cb0da47eb8
SHA512: 57fb53489c3d87efa9ac41334f185e4982a28f4ce75504c87cf83bdf9015ca8cbb8ac5bcaee1145bfafeadccc913b334d13e1f35b41aebd369551de4ded3fe91
Homepage: https://cran.r-project.org/package=simMP
Description: CRAN Package 'simMP' (Simulate Somatic Mutations in Cancer Genomes from MutationalProcesses)
 Simulates somatic single base substitutions carried in cancer genomes. By
 only providing a human reference genome, substitutions that result from
 mutational processes operative in every cancer genome can be generated.

Package: r-cran-simms
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass, r-cran-doparallel, r-cran-foreach, r-cran-randomforestsrc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-simms_1.3.2-1.ca2004.1_all.deb
Size: 335548
MD5sum: b7716b2207010efc67796daa113f616b
SHA1: 71cb3519f3f51db638ea794104a7b4942495f4f8
SHA256: 3db3d2e8cb398da4b95df601153f95a82f8bcc443e90351ac9cf4732e3bac59e
SHA512: a3f00964a8f5320be2fe7fb7c12f74bf274d86339d081997073f035b4f2e6e2415bf9b4f635ea70a2f40e5d2a1538e666acfb11ee3e6cee7203ea4a7549401d9
Homepage: https://cran.r-project.org/package=SIMMS
Description: CRAN Package 'SIMMS' (Subnetwork Integration for Multi-Modal Signatures)
 Algorithms to create prognostic biomarkers using biological genesets or
 networks.

Package: r-cran-simmsm
Architecture: all
Version: 1.1.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-mvna
Filename: pool/dists/focal/main/r-cran-simmsm_1.1.42-1.ca2004.1_all.deb
Size: 86272
MD5sum: 4492394d3e715a488f8a5c1258d33426
SHA1: 1c5a95c0c55b677fe35d079c5b6582f3fbbc992a
SHA256: 953d3eba0162c4835df2228f07414510145b6e8cc6f7927210d2bed05f71eb06
SHA512: 0d54cd9b1309ee387170fc92fee66a544d7323f3f5a0589540828def20b7ad42208c4df3be50dc501dfacb1c57825ce8d63d1ba7f411e6cf38ec5dfe8ffb9edd
Homepage: https://cran.r-project.org/package=simMSM
Description: CRAN Package 'simMSM' (Simulation of Event Histories for Multi-State Models)
 Simulation of event histories with possibly non-linear baseline hazard rate
 functions, non-linear (time-varying) covariate effect functions, and
 dependencies on the past of the history. Random generation of event
 histories is performed using inversion sampling on the cumulative all-cause
 hazard rate functions.

Package: r-cran-simmulticorrdata
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1584
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bb, r-cran-nleqslv, r-cran-genord, r-cran-psych, r-cran-matrix, r-cran-vgam, r-cran-triangle, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-printr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simmulticorrdata_0.2.2-1.ca2004.1_all.deb
Size: 1024484
MD5sum: e7f537175d48b6a3638af190b9f3d758
SHA1: e3fb37d265e84ddf6c36215265e522d597bc78ea
SHA256: 17f99d5c5788f83b84ca78a8479c83a5bc1012beca04124d94502c8a17d1d351
SHA512: 2970a7828c8d558417e54b62582da101f4dcdcc824c6b9648da1c11cb1e20cff063595e940d68420c08aab669ab0afdb54c8d05f844de52429742c9bc29e5a18
Homepage: https://cran.r-project.org/package=SimMultiCorrData
Description: CRAN Package 'SimMultiCorrData' (Simulation of Correlated Data with Multiple Variable Types)
 Generate continuous (normal or non-normal), binary, ordinal, and count
 (Poisson or Negative Binomial) variables with a specified correlation
 matrix.  It can also produce a single continuous variable.  This package can
 be used to simulate data sets that mimic real-world situations (i.e.
 clinical or genetic data sets, plasmodes).  All variables are generated from
 standard normal variables with an imposed intermediate correlation matrix.
 Continuous variables are simulated by specifying mean, variance, skewness,
 standardized kurtosis, and fifth and sixth standardized cumulants using
 either Fleishman's third-order (<DOI:10.1007/BF02293811>) or Headrick's
 fifth-order (<DOI:10.1016/S0167-9473(02)00072-5>) polynomial transformation.
 Binary and ordinal variables are simulated using a modification of the
 ordsample() function from 'GenOrd'.  Count variables are simulated using the
 inverse cdf method.  There are two simulation pathways which differ
 primarily according to the calculation of the intermediate correlation
 matrix.  In Correlation Method 1, the intercorrelations involving count
 variables are determined using a simulation based, logarithmic correlation
 correction (adapting Yahav and Shmueli's 2012 method,
 <DOI:10.1002/asmb.901>).  In Correlation Method 2, the count variables are
 treated as ordinal (adapting Barbiero and Ferrari's 2015 modification of
 GenOrd, <DOI:10.1002/asmb.2072>).  There is an optional error loop that
 corrects the final correlation matrix to be within a user-specified
 precision value of the target matrix.  The package also includes functions
 to calculate standardized cumulants for theoretical distributions or from
 real data sets, check if a target correlation matrix is within the possible
 correlation bounds (given the distributions of the simulated variables),
 summarize results (numerically or graphically), to verify valid power method
 pdfs, and to calculate lower standardized kurtosis bounds.

Package: r-cran-simnph
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-simdesign, r-cran-survival, r-cran-minipch, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-nph, r-cran-nphrct, r-cran-car, r-cran-dplyr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-withr, r-cran-ldbounds, r-cran-ggplot2, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-simnph_0.5.7-1.ca2004.1_all.deb
Size: 292632
MD5sum: 03100f1d6e5fc0babd42580f4e7fbb1e
SHA1: a16865155c337f263087347b36148207dae9ee03
SHA256: 31e47e7588f81ac35aeb80196ba0723f2301d834cdca70c243c4153b9fbd8b26
SHA512: 44ff34ef21aa157ac5289f6c2100ad34d81e9a159c2fb390067aee843b04fb0d981fc4914101fb0d0ef7bbdebaeb2c7f73ac10feafc78ba79b0917e99becf669
Homepage: https://cran.r-project.org/package=SimNPH
Description: CRAN Package 'SimNPH' (Simulate Non-Proportional Hazards)
 A toolkit for simulation studies concerning time-to-event endpoints with
 non-proportional hazards. 'SimNPH' encompasses functions for simulating
 time-to-event data in various scenarios, simulating different trial designs
 like fixed-followup, event-driven, and group sequential designs. The package
 provides functions to calculate the true values of common summary statistics
 for the implemented scenarios and offers common analysis methods for
 time-to-event data. Helper functions for running simulations with the
 'SimDesign' package and for aggregating and presenting the results are also
 included. Results of the conducted simulation study are available in the
 paper: "A Comparison of Statistical Methods for Time-To-Event Analyses in
 Randomized Controlled Trials Under Non-Proportional Hazards", Klinglmüller
 et al. (2025) <doi:10.1002/sim.70019>.

Package: r-cran-simode
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desolve, r-cran-pracma, r-cran-quadprog, r-cran-glmnet, r-cran-ncvreg
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simode_1.2.2-1.ca2004.1_all.deb
Size: 353356
MD5sum: 20c11d0deefc0316e881df89704a7f00
SHA1: b3c5c115cb70b6137c6c6f1207fa305dd051f34e
SHA256: b2898b3be027936cdbcbdd5754ae39006a3ec575794a8f1c332c013fbbdb4636
SHA512: 21953426ffc8cc9bf2290b7c90c3758a17616a4800ef7c311bff6f5ff3aca00fa6d8f6b4ba8476dd65e2467b50e7635f6cea7bbc63932d14589822a781d60ee9
Homepage: https://cran.r-project.org/package=simode
Description: CRAN Package 'simode' (Statistical Inference for Systems of Ordinary DifferentialEquations using Separable Integral-Matching)
 Implements statistical inference for systems of ordinary differential
 equations, that uses the integral-matching criterion and takes advantage of
 the separability of parameters, in order to obtain initial parameter
 estimates for nonlinear least squares optimization.  Dattner & Yaari (2018)
 <arXiv:1807.04202>.  Dattner et al. (2017) <doi:10.1098/rsif.2016.0525>.
 Dattner & Klaassen (2015) <doi:10.1214/15-EJS1053>.

Package: r-cran-simodels
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-geodist, r-cran-od, r-cran-rlang, r-cran-sf
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-minpack.lm, r-cran-nngeo, r-cran-rmarkdown, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-simodels_0.2.0-1.ca2004.1_all.deb
Size: 839372
MD5sum: fdb1f12ebc6bf04b06dae0a1d253f06a
SHA1: fdadd379d34349813afe53cb3fa99c8cc819a380
SHA256: 740338a2b8cfb60e4356db50d13589a5c700e549f18382f76157f7c742c34e4a
SHA512: 5fde2d9bc06c0fc985a7ce608448440cfdb1bd4d0161e4cce812ca47eec6df97d6f28877f2cb7db911f49f8ce802a561be7a2e1937797c54baa47f3064c9d618
Homepage: https://cran.r-project.org/package=simodels
Description: CRAN Package 'simodels' (Flexible Framework for Developing Spatial Interaction Models)
 Develop spatial interaction models (SIMs).  SIMs predict the amount of
 interaction, for example number of trips per day, between geographic
 entities representing trip origins and destinations.  Contains functions for
 creating origin-destination datasets from geographic input datasets and
 calculating movement between origin-destination pairs with constrained,
 production-constrained, and attraction-constrained models (Wilson 1979)
 <doi:10.1068/a030001>.

Package: r-cran-simpathy
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4795
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-grbase, r-bioc-graph, r-cran-igraph, r-cran-ggm, r-bioc-qpgraph, r-cran-r.utils, r-cran-htmlwidgets, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-clipper, r-cran-topologygsa
Filename: pool/dists/focal/main/r-cran-simpathy_0.6-1.ca2004.1_all.deb
Size: 3693252
MD5sum: f5575176ab0dccc39a96889a9864e222
SHA1: 7af9bb40859524d5adf3958c2c2473149197b57c
SHA256: 765d9f1952bd91340501e9e31adb5e2f30ed163c722f066a0af531cc38ec8ea9
SHA512: 0f5ce07424612cbcfdd00d866d17a29212b538b437eec51bbdf68cda25844b4c80f6b9094748bf07f29eac14a5cb9d417c3dac52905b313628d42940777204a5
Homepage: https://cran.r-project.org/package=simPATHy
Description: CRAN Package 'simPATHy' (A Method for Simulating Data from Perturbed Biological Pathways)
 Simulate data from a Gaussian graphical model or a Gaussian Bayesian network
 in two conditions. Given a covariance matrix of a reference condition
 simulate plausible disregulations. See Salviato et al. (2017)
 <doi:10.1093/bioinformatics/btw642>.

Package: r-cran-simph
Architecture: all
Version: 1.3.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-lazyeval, r-cran-mass, r-cran-mgcv, r-cran-stringr, r-cran-survival, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-simph_1.3.14-1.ca2004.1_all.deb
Size: 274984
MD5sum: 8319b7d57b38af08f0f843a52f41109e
SHA1: 945b834c514632e21800c24ed6b0e42c781a336c
SHA256: 8b6bd1c8e40441227121c023b02c91eb6b49365be688d1e409ca13dd5dc70d18
SHA512: 6bfc49fb0a2417dd70e6f091a8fc4512f01c0fe2a68eb4f6a9f8cd9997447aa1927fb54e8579e2af9b09beb3dce9b9e94c11d1585f8bac239fbcf06baeb4b321
Homepage: https://cran.r-project.org/package=simPH
Description: CRAN Package 'simPH' (Simulate and Plot Estimates from Cox Proportional Hazards Models)
 Simulates and plots quantities of interest (relative hazards, first
 differences, and hazard ratios) for linear coefficients, multiplicative
 interactions, polynomials, penalised splines, and non-proportional hazards,
 as well as stratified survival curves from Cox Proportional Hazard models.
 It also simulates and plots marginal effects for multiplicative
 interactions. Methods described in Gandrud (2015)
 <doi:10.18637/jss.v065.i03>.

Package: r-cran-simphe
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simphe_0.2.0-1.ca2004.1_all.deb
Size: 104544
MD5sum: 6d61a07ac60b3aa262170c6eea32e228
SHA1: ef8541bc0cb9caaf815439d2a660b2f5566d0bb9
SHA256: 40f51b633dc20efd38bea3f522e2e65400c5720565dfc55750d6877fe351c768
SHA512: 5816791ec62dfca8624273b7b40092f2715761e16bc4d7c7b3924e7f67601f93bfe2bc35505c8ae3af5281deb75e432370d3c91026aec85f4d7b68e2e3b16b20
Homepage: https://cran.r-project.org/package=SimPhe
Description: CRAN Package 'SimPhe' (Tools to Simulate Phenotype(s) with Epistatic Interaction)
 Provides functions to simulate single or multiple, independent or correlated
 phenotype(s) with additive, dominance effects and their interactions. Also
 includes functions to generate phenotype(s) with specific heritability.
 Flexible and user-friendly options for simulation.

Package: r-cran-simphony
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-foreach
Suggests: r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-bioc-limma, r-cran-precrec, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simphony_1.0.3-1.ca2004.1_all.deb
Size: 863776
MD5sum: e46aebc6548816959cad23e57e959842
SHA1: 9d84ee83991dc7d77593011b99ee8ea56609cfe7
SHA256: 8a7b40324af970e3554a99ea9acbc445b93f456c1b95ebd48cdbdde3c0771884
SHA512: 76db6a6ee95b182939b8e0cdd1f727f69bcd1fe7d8c5f0a6a6ba52329cd9234178bcecd3d952577c1a3e710695e7c41f49699d39b3408fa91245b5599bb1146d
Homepage: https://cran.r-project.org/package=simphony
Description: CRAN Package 'simphony' (Simulating Large-Scale, Rhythmic Data)
 A tool for simulating rhythmic data: transcriptome data using Gaussian or
 negative binomial distributions, and behavioral activity data using
 Bernoulli or Poisson distributions. See Singer et al. (2019)
 <doi:10.7717/peerj.6985>.

Package: r-cran-simplace
Architecture: all
Version: 5.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simplace_5.1.2-1.ca2004.1_all.deb
Size: 454656
MD5sum: ab1b1bf4519e5aa693818415d938c1c8
SHA1: 134e75992f436eb04f5c6baf461bb2f5623b106e
SHA256: 4724be48c1dcb8478e7bede77804c20f099cd68094a9178633c644ed54d6e68f
SHA512: be740abffc434a49e7c440d9928412d6dc48d854f5a28434e02b99ccfeb4d9ab949a345dec8514793475fe59bee288a0dd77dd2654b8b9e2dfb75b8328ce4207
Homepage: https://cran.r-project.org/package=simplace
Description: CRAN Package 'simplace' (Interface to Use the Modelling Framework 'SIMPLACE')
 Interface to interact with the modelling framework 'SIMPLACE' and to parse
 the results of simulations.

Package: r-cran-simplanonym
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-vroom
Filename: pool/dists/focal/main/r-cran-simplanonym_0.1.0-1.ca2004.1_all.deb
Size: 41460
MD5sum: 1080d3606708f787571420ecb2815967
SHA1: f58021b37efabad2caaaa4f63f43b0b8f0751556
SHA256: 4d9a0a77b10b8ff0063c585147ed4903c8e810c1c7a78f76bb64b86d3781d9ed
SHA512: 1adee8a7c770bc4db5dd0e7fbdb49cb09ee0bffaddd13e01616ddd4f5751523fb8743d2de49b312e98ce782a7d4ce3aeb39cf8c2859ca2f6fcfbb1c57b4307c7
Homepage: https://cran.r-project.org/package=simplanonym
Description: CRAN Package 'simplanonym' (Consistent Anonymisation Across Datasets)
 A simple function that anonymises a list of variables in a consistent way:
 anonymised factors are not recycled and the same original levels receive the
 same anonymised factor even if located in different datasets.

Package: r-cran-simple.regression
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 870
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nlme, r-cran-mass, r-cran-bayesfactor, r-cran-rstanarm, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-simple.regression_0.2.6-1.ca2004.1_all.deb
Size: 721632
MD5sum: 4a2fa64cef649ebda3e00a4c39946540
SHA1: 738a4756f0f9eeabf2f739d49b2d4d2e9a74f09a
SHA256: 1b536c579975f8d81939fb3dd3958b0baaad0554ffa7c0dacb394cabe5a69658
SHA512: ccad63f06669864deaa46f15c6b8a4a026e82f514dbda6c4d4c68b66edf7ca14d51fd5492b6e27cf19a218a35a047d2350f62ee3d4920d88f7bb410c049cfc87
Homepage: https://cran.r-project.org/package=SIMPLE.REGRESSION
Description: CRAN Package 'SIMPLE.REGRESSION' (OLS, Moderated, Logistic, and Count Regressions Made Simple)
 Provides SPSS- and SAS-like output for least squares multiple regression,
 logistic regression, and count variable regressions. Detailed output is also
 provided for OLS moderated regression, interaction plots, and Johnson-Neyman
 regions of significance. The output includes standardized coefficients,
 partial and semi-partial correlations, collinearity diagnostics, plots of
 residuals, and detailed information about simple slopes for interactions.
 The output for some functions includes Bayes Factors and, if requested,
 regression coefficients from Bayesian Markov Chain Monte Carlo analyses.
 There are numerous options for model plots.  The REGIONS_OF_SIGNIFICANCE
 function also provides Johnson-Neyman regions of significance and plots of
 interactions for both lm and lme models. There is also a function for
 partial and semipartial correlations and a function for conducting Cohen's
 set correlation analyses.

Package: r-cran-simpleboot
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-simpleboot_1.1-8-1.ca2004.1_all.deb
Size: 67684
MD5sum: 839e7d4b951ee5312a417c67e42227d9
SHA1: 5917c90e585a0d80042c684336ea3e5ff016e88e
SHA256: 82c22dd0ec40186ee0b154f33612a60e136bce862caefd4af79f87ddb4bc1360
SHA512: 84e6e0d1a10b78a051d6de4513bf278b62050e616d358f933113c50716866b5db446b1a17a905b6406df437bc0c414cf2431f2493fbf462a6022e50f5c263906
Homepage: https://cran.r-project.org/package=simpleboot
Description: CRAN Package 'simpleboot' (Simple Bootstrap Routines)
 Simple bootstrap routines.

Package: r-cran-simplecache
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simplecache_0.4.2-1.ca2004.1_all.deb
Size: 80420
MD5sum: 26571d42d26bbd254c0abb2896a1bfb3
SHA1: 0b5aef2082832fa8c4650fb4fa817438d2df51c6
SHA256: ea014b5d26c5f6d77ee2e2263aa807e32ed815403fa844fa8fc7299b592b8a38
SHA512: f3f4cae94e905190212aa0eae196b2f1a0d9ce96405ec4158f31c428b83405256dc67eecd7df79eb52b63a313d7a6e95917601147d524e4e6dfc256b9ae1a59e
Homepage: https://cran.r-project.org/package=simpleCache
Description: CRAN Package 'simpleCache' (Simply Caching R Objects)
 Provides intuitive functions for caching R objects, encouraging
 reproducible, restartable, and distributed R analysis. The user selects a
 location to store caches, and then provides nothing more than a cache name
 and instructions (R code) for how to produce the R object. Also provides
 some advanced options like environment assignments, recreating or reloading
 caches, and cluster compute bindings (using the 'batchtools' package) making
 it flexible enough for use in large-scale data analysis projects.

Package: r-cran-simplecolors
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1374
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-devtools, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-simplecolors_0.1.2-1.ca2004.1_all.deb
Size: 1120980
MD5sum: 20beb70db139657610c8432f4ba30199
SHA1: 9986513a568a68e7846a2dbd480c57785362c779
SHA256: e24ed72b28565add6d3dc970ef074e5aea47b97aa2559d5f8c623d0c3d273816
SHA512: be39222b66bd361a6c2c1a255b9ec5cb21dfedb9daa78ea925b1fd169b9b920e81ee52bb2604d309a0de8b6bc5d0b9d0213af52cfa8f4e9c1798ffd9ad73ef11
Homepage: https://cran.r-project.org/package=simplecolors
Description: CRAN Package 'simplecolors' (Access Color Names Using a Standardized Nomenclature)
 A curated set of colors that are called using a standardized syntax:
 saturation + hue + lightness. For example, "brightblue4" and "mutedred2".
 Functions exists to return individual colors by name or to build palettes
 across or within hues. Most functions allow you to visualize the palettes in
 addition to returning the desired hex codes.

Package: r-cran-simplefdr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-simplefdr_1.1-1.ca2004.1_all.deb
Size: 11880
MD5sum: d341cf67c01ead8959cebaddf45027fe
SHA1: 82913451f574658e36229d95ef08407547188f4c
SHA256: 8c14efb6542c3a42b47bda37240726deb4a25afaf29a004180704b16ec542867
SHA512: a74929c6f4c167344d559aba369a6616d00aa7ba51f8b20477389f47811b50fb365d9932cc98bbbd603c2da92994e0f9f2e0461f61614789cf6fbb5a4f7e0073
Homepage: https://cran.r-project.org/package=simpleFDR
Description: CRAN Package 'simpleFDR' (Simple False Discovery Rate Calculation)
 Using the adjustment method from Benjamini & Hochberg (1995)
 <doi:10.1111/j.2517-6161.1995.tb02031.x>, this package determines which
 variables are significant under repeated testing with a given dataframe of p
 values and an user defined "q" threshold.  It then returns the original
 dataframe along with a significance column where an asterisk denotes a
 significant p value after FDR calculation, and NA denotes all other p
 values. This package uses the Benjamini & Hochberg method specifically as
 described in Lee, S., & Lee, D. K. (2018) <doi:10.4097/kja.d.18.00242>.

Package: r-cran-simplegraph
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simplegraph_1.0.1-1.ca2004.1_all.deb
Size: 73928
MD5sum: e4be8cd742035a3ab5562c3723293a68
SHA1: 731ffad9feee5a4ee5feaebc275d70c92f5ef797
SHA256: fc2998bc041d99c0800ed07aace86bb1cc3585d3a61c4210afe81e4338ad115f
SHA512: b23e59d9f5adcfa69509bd8a5d5bb5ea8cb8a5e652078b142e1de60655ded7baef45776a20875ed8ea204953bcbc6d2d84a57a16a4ad0dd03722fda38d84a634
Homepage: https://cran.r-project.org/package=simplegraph
Description: CRAN Package 'simplegraph' (Simple Graph Data Types and Basic Algorithms)
 Simple classic graph algorithms for simple graph classes.  Graphs may
 possess vertex and edge attributes. 'simplegraph' has no dependencies and it
 is written entirely in R, so it is easy to install.

Package: r-cran-simplegraphdb
Architecture: all
Version: 2021.03.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rsqlite, r-cran-rjson
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simplegraphdb_2021.03.10-1.ca2004.1_all.deb
Size: 48100
MD5sum: a301005e11320ca3a2dad02439fc2afc
SHA1: 1dc685c3810c70cc87150d3e80a420aeb6d2a5ca
SHA256: 5a3f9730d5bf1c196c1ba0d0df0e54a279e2032ea06eb9096edb366eaa566d8c
SHA512: 613c453b58ebe0a7c8d49c10b9506a0962cb21a1df3838460d26b91d93844ce875babafad5614a95ca8164403b6c48afed20856856a385231abe6d8bc90c021c
Homepage: https://cran.r-project.org/package=simplegraphdb
Description: CRAN Package 'simplegraphdb' (A Simple Graph Database)
 This is a graph database in 'SQLite'.  It is inspired by Denis
 Papathanasiou's Python simple-graph project on 'GitHub'.

Package: r-cran-simplemh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-coda, r-cran-mockery, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simplemh_0.1.1-1.ca2004.1_all.deb
Size: 125888
MD5sum: f9cb7d192e344b4a083a0d459426fc9b
SHA1: 172af78fe033fc2bc831f180649e196be47ae467
SHA256: 7576e046ea7b346a550ae237518ee2b0886d019a717ae81ae301987430380fa3
SHA512: dc64b474c65e1bbc8247a36e5e419f0b9c62b87ab12c75ff001a97cc862c99b111b0a2a0cdaaf43aa11275eca79a9b0ef5b55a6672c58780f4ec0b58d3d71bb7
Homepage: https://cran.r-project.org/package=simpleMH
Description: CRAN Package 'simpleMH' (Simple Metropolis-Hastings MCMC Algorithm)
 A very bare-bones interface to use the Metropolis-Hastings Monte Carlo
 Markov Chain algorithm. It is suitable for teaching and testing purposes.

Package: r-cran-simplemlp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-readr
Filename: pool/dists/focal/main/r-cran-simplemlp_1.0.0-1.ca2004.1_all.deb
Size: 39040
MD5sum: af49cb6ef651baa85046667db1f50128
SHA1: d5099a1b1709386a5efd44268a8005c0acfbc260
SHA256: e34b2759f7142a1383132e37c23a212fc8c85a54e6a728b09af502ab96887f5e
SHA512: a5aebd24799495c602e9f0229922521ba663555d7d3a75cf8c3c1701c7bc090d0be273890b6d6506836af6ad38623e9538795eb0fdf0cfb45004d1060c66e761
Homepage: https://cran.r-project.org/package=simpleMLP
Description: CRAN Package 'simpleMLP' (Simple Multilayer Perceptron Neural Network)
 Create and train a multilayer perceptron, a type of feedforward, fully
 connected neural network. Features 2 ReLU hidden layers. Learn more about
 about the activation functions and backpropagation used by this network in
 Goodfellow et al. (2016, ISBN: 9780262035613) "Deep Learning".

Package: r-cran-simpleneural
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1357
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-verification
Filename: pool/dists/focal/main/r-cran-simpleneural_0.1.3-1.ca2004.1_all.deb
Size: 1327280
MD5sum: 88d674bd19e1285fc4c0ff66d8b65633
SHA1: 7c856169010eeddbb9b8033cadee29a150fb538e
SHA256: 9dbe612e15b8e40a65447b0eeafa06ca9c72a3671fe4038ef74f7e75c97b67fb
SHA512: 19ed305942409d6ec6f290bdca8914e35388b38fa5457c1d8764239bef34ef795cc67c05a769d24d73b13160ce6701923a8756d4d01579fe3e1398ddaf8969eb
Homepage: https://cran.r-project.org/package=simpleNeural
Description: CRAN Package 'simpleNeural' (An Easy to Use Multilayer Perceptron)
 Trains neural networks (multilayer perceptrons with one hidden layer) for
 bi- or multi-class classification.

Package: r-cran-simplephenotypes
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Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-mvtnorm, r-bioc-snprelate, r-bioc-gdsfmt
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simplephenotypes_1.3.0-1.ca2004.1_all.deb
Size: 1343024
MD5sum: cbe980ac16e8ef8de3a7f175bfbd2b14
SHA1: 0724f3c2c7ff86ec1b5c00d1ca2b840364d61e81
SHA256: 66d0f41bf7bdecaeeeead38df4b9cebe9809a062f6d1301c39ee16364968b05d
SHA512: a749d2b6dc55e4688be6eb93fcc35b408ed23e225460c87d749b399c03a942aefec4915f582b26691fc5084f6ebaa233ad3dc063116b55dbd435b413363d1791
Homepage: https://cran.r-project.org/package=simplePHENOTYPES
Description: CRAN Package 'simplePHENOTYPES' (Simulation of Pleiotropic, Linked and Epistatic Phenotypes)
 The number of studies involving correlated traits and the availability of
 tools to handle this type of data has increased considerably in the last
 decade. With such a demand, we need tools for testing hypotheses related to
 single and multi-trait (correlated) phenotypes based on many genetic
 settings. Thus, we implemented various options for simulation of pleiotropy
 and Linkage Disequilibrium under additive, dominance and epistatic models.
 The simulation currently takes a marker data set as an input and then uses
 it for simulating multiple traits as described in Fernandes and Lipka (2020)
 <doi:10.1186/s12859-020-03804-y>.

Package: r-cran-simplercache
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simplercache_0.3.3-1.ca2004.1_all.deb
Size: 204036
MD5sum: bf72c96fa70d26fba3049c10da5a1b8d
SHA1: 4bf9aab21e42adcc5b2a35d1a7d284402ff407bc
SHA256: ed57aae43bd14d5ecd9f0373ccbef63a70b9a1065c78f713677a07f571e1d8f2
SHA512: ccda8c3b789a4812f3e0ca50b911c006f038c6b74f21e97247be43fb4e2891c6192cf6880e6e2e16a0421c45611914b31c8ceb5a778da14e0850b5f7b8ffaee6
Homepage: https://cran.r-project.org/package=simpleRCache
Description: CRAN Package 'simpleRCache' (Simple R Cache)
 Simple result caching in R based on R.cache. The global environment is not
 considered when caching results simplifying moving files between multiple
 instances of R. Relies on more base functions than R.cache (e.g. cached
 results are saved using saveRDS() and readRDS()).

Package: r-cran-simplermarkdown
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjson
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-simplermarkdown_0.0.6-1.ca2004.1_all.deb
Size: 148816
MD5sum: ed647dbb38f7ae6ef4d84bde3457bd00
SHA1: c880e8a51f381b643c8e4c399c435a7b7902e986
SHA256: bc58ca5a231dc1b02bb9c2cb7b537ad82fbdfa75d8819c4f67ae444c0ad6d8e6
SHA512: d20cd3030a3b3502056c6f1ccef5658a477a25ceefc2c59f9eb7de48156731caaf76057ce401da9e264def000f537ec4f3d26067b7e7a9239cf45bc261b57f9d
Homepage: https://cran.r-project.org/package=simplermarkdown
Description: CRAN Package 'simplermarkdown' (Simple Engine for Generating Reports using R)
 Runs R-code present in a pandoc markdown file and includes the resulting
 output in the resulting markdown file. This file can then be converted into
 any of the output formats supported by pandoc. The package can also be used
 as an engine for writing package vignettes.

Package: r-cran-simplesetup
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-simplesetup_0.1.0-1.ca2004.1_all.deb
Size: 12480
MD5sum: bf414b3297962c98bb8cf5e2ec7133d7
SHA1: 6b378c951b45a7df702ac46e51d8e8c2e682fb9b
SHA256: c2c5541874d99411f2def149c6b627313a16e0a5842c216eeeedd40d7fd70414
SHA512: 879ea3e9f35ca50e649aef3e458ca0db673e536b9031a9bb6044228d1cd7e17148503cf698e9011bde721a17a45c86ba8a9d12b43c91cc5e0606f0e7520344b7
Homepage: https://cran.r-project.org/package=simpleSetup
Description: CRAN Package 'simpleSetup' (Set Up R Source Code Files for Use on Multiple Machines)
 When working across multiple machines and, similarly for reproducible
 research, it can be time consuming to ensure that you have all of the needed
 packages installed and loaded and that the correct working directory is set.
 'simpleSetup' provides simple functions for making these tasks more
 straightforward.

Package: r-cran-simpletex
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-digest, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simpletex_1.0.5-1.ca2004.1_all.deb
Size: 16816
MD5sum: c7bd0c09f50e4391e19d9259b9c2c218
SHA1: 621042cfbe926ae1f5e7f5d5c96b5c7a6b2afff0
SHA256: 0bb0a3e2925633d9583034c89625a2d2b192992a21425d18ea843f0c3de84a29
SHA512: 7f9f047a33a918daf3ec5448c94083347f64d0da0f555402a449f4d763ccd22f6c207634eea027d33726994f287d061925f6d0df8989e7dc1d935a022502ee02
Homepage: https://cran.r-project.org/package=simpletex
Description: CRAN Package 'simpletex' (Mathematical Formulas and Character Recognition)
 By calling the 'SimpleTex' <https://simpletex.cn/> open API implements text
 and mathematical formula recognition on the image, and the output formula
 can be used directly with 'Markdown' and 'LaTeX'.

Package: r-cran-simplevis
Architecture: all
Version: 7.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-htmlwidgets, r-cran-leaflet, r-cran-leafem, r-cran-leafpop, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-sf, r-cran-shiny, r-cran-snakecase, r-cran-stars, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-viridis, r-cran-ggplot2
Suggests: r-cran-glue, r-cran-gt, r-cran-knitr, r-cran-pals, r-cran-palmerpenguins, r-cran-patchwork, r-cran-rgdal, r-cran-rgeos, r-cran-rmarkdown, r-cran-s2, r-cran-tibble, r-cran-tidytext, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-simplevis_7.1.0-1.ca2004.1_all.deb
Size: 1888860
MD5sum: fc67589bdc109a80f9d2851c685a13f9
SHA1: fc4a58f3a921aecd2344593cc23516b3538b8288
SHA256: 2039caaf6b7a0b997e7a728f348d615b187c478f3646c3b9fbfbd4c4155398e8
SHA512: 60cbe23a15dff5d0f816edec20c317e8fd20d551937d22e3628716ae9abb748dfc4b192f9fd6ab645b387abb396cee281182ff9e7bd3cd9d4259a549bbf70d34
Homepage: https://cran.r-project.org/package=simplevis
Description: CRAN Package 'simplevis' (Wrappers to Simplify 'leaflet' Visualisation)
 Wrapper functions around the amazing 'leaflet' package that aims to simplify
 'leaflet' visualisation.  See the 'ggblanket' package for 'ggplot2'
 wrappers.

Package: r-cran-simplicialcubature
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-simplicialcubature_1.3-1.ca2004.1_all.deb
Size: 100572
MD5sum: 0adc489bc44d67d98f699c3326db9e4b
SHA1: 371829b2491da8cc104f165f392a4bd9dd383c5a
SHA256: 208fd6c5aa1d17d1038b3b4ee5a4738cdbff22c9b88461672caa911be12954c1
SHA512: 3d25730a40383314957a2172a98533649e44d8c2508f588f8eee8de8e5facfaf65d5b148d4f2666ef76e8173956bbf76170ff51e8d4fa3fc01fd4ff8a39cecbc
Homepage: https://cran.r-project.org/package=SimplicialCubature
Description: CRAN Package 'SimplicialCubature' (Integration of Functions Over Simplices)
 Provides methods to integrate functions over m-dimensional simplices in
 n-dimensional Euclidean space.  There are exact methods for polynomials and
 adaptive methods for integrating an arbitrary function.

Package: r-cran-simplifynet
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-sanic, r-cran-matrix, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-simplifynet_0.0.1-1.ca2004.1_all.deb
Size: 75304
MD5sum: 8682d6b3d0ade3ad710bb75007525189
SHA1: 48ae2d79da98007bfbae4882c3eac55fac2e25a6
SHA256: f31790969320cd5bb2096b16849826740fbcb6f5ddb5ba13b2a050c307579f8a
SHA512: 2e2d70a9bb853db002c08b73e8336074ffbff4e836beaba39d09426e563f02741487b2f7ae4bc8e6f04dad8f90f2c5fa0295aafc61b3fff9b9d22d4d5dda3ae4
Homepage: https://cran.r-project.org/package=simplifyNet
Description: CRAN Package 'simplifyNet' (Network Sparsification)
 Network sparsification with a variety of novel and known network
 sparsification techniques. All network sparsification techniques reduce the
 number of edges, not the number of nodes. Network sparsification is
 sometimes referred to as network dimensionality reduction.  This package is
 based on the work of Spielman, D., Srivastava, N. (2009)<arXiv:0803.0929>.
 Koutis I., Levin, A., Peng, R. (2013)<arXiv:1209.5821>. Toivonen, H.,
 Mahler, S., Zhou, F.  (2010)<doi:10.1007>. Foti, N., Hughes, J., Rockmore,
 D. (2011)<doi:10.1371>.

Package: r-cran-simplifystats
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-tibble, r-cran-dplyr, r-cran-broom, r-cran-moments
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simplifystats_2.0.4-1.ca2004.1_all.deb
Size: 42440
MD5sum: 18b81b7c85f8c9d989885e451dcde64d
SHA1: ab95917f00aa34175622de362a79502de67e57db
SHA256: e2c4022b0d7b4e6b7b87c465f257df03dce68e10db8cc1a802116614b79bae16
SHA512: 06af33b57e5afa260964074072d2ade42c272969a6490e077ab34608a8343b17c721f240875b468973165d513826b308046b1fa698960ae257bdedccea947c58
Homepage: https://cran.r-project.org/package=SimplifyStats
Description: CRAN Package 'SimplifyStats' (Simplifies Pairwise Statistical Analyses)
 Pairwise group comparisons are often performed. While there are many
 packages that can perform these analyses, often it is the case that only a
 subset of comparisons are desired. 'SimplifyStats' performs pairwise
 comparisons and returns the results in a tidy fashion.

Package: r-cran-simplyagree
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1729
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-emmeans, r-cran-lme4, r-cran-boot, r-cran-dplyr, r-cran-magrittr, r-cran-tidyselect, r-cran-tidyr, r-cran-stringr, r-cran-jmvcore, r-cran-quantreg, r-cran-patchwork, r-cran-insight, r-cran-nlme, r-cran-purrr, r-cran-matrix, r-cran-mass, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-readr, r-cran-covr, r-cran-mgcv, r-cran-ggeffects, r-cran-deming, r-cran-pbkrtest
Filename: pool/dists/focal/main/r-cran-simplyagree_0.2.1-1.ca2004.1_all.deb
Size: 1185336
MD5sum: f2f73d7b42f527384ddde8407af004a7
SHA1: 4741c6008cdb62c3eb3a1a7bb01acbf8f8513927
SHA256: 20e711fd1b122f1d7f8e5d6b7c51b3e1eb2ab19f540fc68e1a26a214284be758
SHA512: 88882d32c157b44198d0cb91c35bd7d78522d6aefef17f970b681d366acb844a9087fe2040b072ef754e6cdbde462c2d668235aac02de0b4861ec3e816f20b81
Homepage: https://cran.r-project.org/package=SimplyAgree
Description: CRAN Package 'SimplyAgree' (Flexible and Robust Agreement and Reliability Analyses)
 Reliability and agreement analyses often have limited software support.
 Therefore, this package was created to make agreement and reliability
 analyses easier for the average researcher. The functions within this
 package include simple tests of agreement, agreement analysis for nested and
 replicate data, and provide robust analyses of reliability. In addition,
 this package contains a set of functions to help when planning studies
 looking to assess measurement agreement.

Package: r-cran-simpr.interaction
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-interactionpower
Filename: pool/dists/focal/main/r-cran-simpr.interaction_0.1.0-1.ca2004.1_all.deb
Size: 12648
MD5sum: 3c5fdefb102a3e37bb572c7fda7e926b
SHA1: 9904a94686db9a349c8578796405ee6007dbdf38
SHA256: 17e3fc4437f36ef51428ec1e42808efa686a824f4ff97697c9b538989022efdc
SHA512: c53d431d9765a41275f9c599769fed1861c510c101f3f7ee8b0aaf6308ddf70fabfd9fc934fa0ba2d0c2b9947c97629a4e900019dc6376245bd77a59b0b93eec
Homepage: https://cran.r-project.org/package=simpr.interaction
Description: CRAN Package 'simpr.interaction' (Calculating Parameters for Simulation-Based RegressionInteraction Power Analysis)
 Provides functionality for analytically calculating parameters (via the
 'InteractionPoweR' package) useful for simulation of moderated multiple
 regression, based on the correlations among the predictors and outcome and
 the reliability of predictors.

Package: r-cran-simpr
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 590
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-furrr, r-cran-generics, r-cran-purrr, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-mass, r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simpr_0.2.6-1.ca2004.1_all.deb
Size: 244460
MD5sum: 2c507b30cb5c8f8fb92b4c2b007ad82b
SHA1: 45ced00e24f0ba5c24d2561e5ce5c1ae1a25c8c0
SHA256: 16c5e7aa258615a9e4bd2720eb10a69e13cc1677e745618c207443c7483a3e8b
SHA512: 85e374d870ba35ba581a5f98853a1623613f38ff8e85abad6697b93db46ffbec03390d6c620254c18eaeb50e074b79847ad31b02d68079e385f0fc6cfc2c4dfd
Homepage: https://cran.r-project.org/package=simpr
Description: CRAN Package 'simpr' (Flexible 'Tidyverse'-Friendly Simulations)
 A general, 'tidyverse'-friendly framework for simulation studies, design
 analysis, and power analysis.  Specify data generation, define varying
 parameters, generate data, fit models, and tidy model results in a single
 pipeline, without needing loops or custom functions.

Package: r-cran-simputation
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-rpart, r-cran-gower, r-cran-vim, r-cran-randomforest, r-cran-glmnet, r-cran-missforest, r-cran-norm
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-simputation_0.2.9-1.ca2004.1_all.deb
Size: 158624
MD5sum: f4c4efc046ad8b0b094a50ad6dd48439
SHA1: 409c1250f2bc54f293ca5efe41be23298a7076ce
SHA256: 17515894a8f293e35f7d359edd24d8229d760592eb00500bc46356ef8da28c2b
SHA512: e372368afedccadb92081212594e8de6dc585befb30822ec826f75637ebddd1647fb43a885f20871fa0dbb4b3a06c9d5801934482195373fd2b9c04163189ea7
Homepage: https://cran.r-project.org/package=simputation
Description: CRAN Package 'simputation' (Simple Imputation)
 Easy to use interfaces to a number of imputation methods that fit in the
 not-a-pipe operator of the 'magrittr' package.

Package: r-cran-simqi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-simqi_0.2.0-1.ca2004.1_all.deb
Size: 89452
MD5sum: f37fa208e972cd31fa1c2d2435a0547e
SHA1: dc6eaa81bb2f27f1812bc615ca7dd4687e481f1d
SHA256: 9985b000eebae551661253979602cfb2761b60968e88a70dc1a28fb098811364
SHA512: 5272ae206721392c1d89ffc0b6edb6c8d601088d460ad5971204938f7e18a37880ce2fff944659dd3e01d9518bab79da127436d24c1589d96be2cf0f725ab3ff
Homepage: https://cran.r-project.org/package=simqi
Description: CRAN Package 'simqi' (Simulate Quantities of Interest from Regression Models)
 This is an all-encompassing suite to facilitate the simulation of so-called
 quantities of interest by way of a multivariate normal distribution of the
 regression model's coefficients and variance-covariance matrix.

Package: r-cran-simr
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-binom, r-cran-iterators, r-cran-pbkrtest, r-cran-plotrix, r-cran-plyr, r-cran-rlrsim, r-cran-stringr, r-cran-car, r-cran-lmertest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simr_1.0.7-1.ca2004.1_all.deb
Size: 168916
MD5sum: 3e356d253ebcdbcb04d866e2ba614155
SHA1: 433318eb0ffa2eae617ef4fa81c5bef220e47334
SHA256: 8427ab6a4d7b14a52ea90237dbbf517747606b53bcfaa32639731480c1035fab
SHA512: 3e81801f0279d606aed22c0492494a3464c7f3a67290202cfd951d24a3cec72149e05fb3caea1bdde1d00384a31a1bcc43d108f42ac40ed1e7215b99b019db60
Homepage: https://cran.r-project.org/package=simr
Description: CRAN Package 'simr' (Power Analysis for Generalised Linear Mixed Models by Simulation)
 Calculate power for generalised linear mixed models, using simulation.
 Designed to work with models fit using the 'lme4' package.  Described in
 Green and MacLeod, 2016 <doi:10.1111/2041-210X.12504>.

Package: r-cran-simrad
Architecture: all
Version: 0.96-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-bioc-shortread, r-bioc-zlibbioc
Suggests: r-cran-seqinr
Filename: pool/dists/focal/main/r-cran-simrad_0.96-1.ca2004.1_all.deb
Size: 54696
MD5sum: 8446b67ffb6eebc694a9b1243ebfac1a
SHA1: e5c3faa94cd31aae45d7b58a584e0da67295ed9c
SHA256: adda30cbeff340afa781d3a59f46c77ad6b52e8d8a01696546395b7545ca2944
SHA512: 2eae5aa1d6b288fded1d15dfb3e14ec91a5b02df5919c5a3cd75bef20b288ffb7e600c5e13addd73b86e30960283b85f9d295458984d6c2b3ce40a3f0c838c7c
Homepage: https://cran.r-project.org/package=SimRAD
Description: CRAN Package 'SimRAD' (Simulations to Predict the Number of RAD and GBS Loci)
 Provides a number of functions to simulate restriction enzyme digestion,
 library construction and fragments size selection to predict the number of
 loci expected from most of the Restriction site Associated DNA (RAD) and
 Genotyping By Sequencing (GBS) approaches. SimRAD estimates the number of
 loci expected from a particular genome depending on the protocol type and
 parameters allowing to assess feasibility, multiplexing capacity and the
 amount of sequencing required.

Package: r-cran-simrds
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4829
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rds, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simrds_2.0.0-1.ca2004.1_all.deb
Size: 4552240
MD5sum: acf84b90b7b72537a46e64f73432c259
SHA1: ec81cf462303511118f87c15621b84b1a45bb3af
SHA256: 99adfcef2e2a127f32e85b5ab5668b3a195e1aabd70cd23342e3a89bf4d363a1
SHA512: f4d99dc093f88e9efa6d2cec8ce9a0db93533a8f3b39017990491de093e65ce1b3bc2a9f870d8440474c942ac6b930ee63a07d24184dd2f6619ff316b1099b32
Homepage: https://cran.r-project.org/package=SimRDS
Description: CRAN Package 'SimRDS' (Simulation of Respondent Driven Samples)
 Simulate populations with desired properties and extract respondent driven
 samples. To better understand the usage of the package and the algorithm
 used, please refer to Perera, A., and Ramanayake, A. (2019)
 <https://www.aimr.tirdiconference.com/assets/images/portfolio/Conference-Proceeding-AIMR-19.pdf>.

Package: r-cran-simrec
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2118
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dt
Filename: pool/dists/focal/main/r-cran-simrec_1.0.1-1.ca2004.1_all.deb
Size: 889676
MD5sum: ed137c6f4725eed1efd85e8670113020
SHA1: a3b75616dcaf13efde5f0ca8d631c54daaf961c1
SHA256: 05394139081de44c42905e0c59fdfffd652ed73edfaa2c3e39fb18e74c940654
SHA512: 48ada7b51662e42c9854fead424838abfce3746c0f6454cb59afa9644afe0bf0bdb498f257110c1831e68608ce8af92c99a0f8f56f62cab8f8d5dc128420a13c
Homepage: https://cran.r-project.org/package=simrec
Description: CRAN Package 'simrec' (Simulation of Recurrent Event Data for Non-Constant BaselineHazard)
 Simulation of recurrent event data for non-constant baseline hazard in the
 total time model with risk-free intervals and possibly a competing event.
 Possibility to cut the data to an interim data set. Data can be plotted.
 Details about the method can be found in Jahn-Eimermacher, A. et al. (2015)
 <doi:10.1186/s12874-015-0005-2>.

Package: r-cran-simrel
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1933
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-frf2, r-cran-ggplot2, r-cran-gridextra, r-cran-jsonlite, r-cran-magrittr, r-cran-miniui, r-cran-purrr, r-cran-reshape2, r-cran-rstudioapi, r-cran-scales, r-cran-sfsmisc, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-testthat
Suggests: r-cran-covr, r-cran-knitr, r-cran-pls, r-cran-markdown, r-cran-doe.base
Filename: pool/dists/focal/main/r-cran-simrel_2.1.0-1.ca2004.1_all.deb
Size: 339156
MD5sum: 9784936c08226fbf4524838ae04f6f39
SHA1: 7626a871e8abe7647f36f2486a30b1ab4a8c8b6f
SHA256: 11ad11113b7562ce7d5cf6632494f01bdf3a0eea75bba99f36e7f44eb041316b
SHA512: c1bae3e310144747982951e59fa97235af4118530ad97de0293f7f4f480fe0b19bff830c3fddd97caa2a057d9d9352e8dcc34d9d6dad99153f5fa6843924744e
Homepage: https://cran.r-project.org/package=simrel
Description: CRAN Package 'simrel' (Simulation of Multivariate Linear Model Data)
 Researchers have been using simulated data from a multivariate linear model
 to compare and evaluate different methods, ideas and models. Additionally,
 teachers and educators have been using a simulation tool to demonstrate and
 teach various statistical and machine learning concepts.  This package helps
 users to simulate linear model data with a wide range of properties by
 tuning few parameters such as relevant latent components. In addition, a
 shiny app as an 'RStudio' gadget gives users a simple interface for using
 the simulation function. See more on: Sæbø, S., Almøy, T., Helland, I.S.
 (2015) <doi:10.1016/j.chemolab.2015.05.012> and Rimal, R., Almøy, T., Sæbø,
 S. (2018) <doi:10.1016/j.chemolab.2018.02.009>.

Package: r-cran-simrvpedigree
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kinship2, r-cran-dplyr
Suggests: r-cran-doparallel, r-cran-dorng, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simrvpedigree_0.4.4-1.ca2004.1_all.deb
Size: 514672
MD5sum: 3d1b6cca31362bcd39c07be87d518b12
SHA1: 42297e4afc0ef1cd7755879e05ec411b6610a2c4
SHA256: 85ed483e698f8be40d89b6bc65110f3710db364d0400899e3b10753bfa782d12
SHA512: d53f419a6ea48a03aedec19bb25fdd403757efa6910cc4a327cae341f9a6d3c3f558ceb18229778c010540a6220889df19d93c42c68339ef28690f964c8a5e0a
Homepage: https://cran.r-project.org/package=SimRVPedigree
Description: CRAN Package 'SimRVPedigree' (Simulate Pedigrees Ascertained for a Rare Disease)
 Routines to simulate and manipulate pedigrees ascertained to contain
 multiple family members affected by a rare disease.  Christina Nieuwoudt,
 Samantha J Jones, Angela Brooks-Wilson, and Jinko Graham (2018)
 <doi:10.1101/234153>.

Package: r-cran-sims
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-future.apply, r-cran-nlist, r-cran-yesno
Suggests: r-cran-covr, r-cran-future, r-cran-knitr, r-cran-progressr, r-cran-rjags, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sims_0.0.4-1.ca2004.1_all.deb
Size: 60844
MD5sum: 4201cf9bf31918e3443826e889853d33
SHA1: 3bc118758aeb6ffe38a5b7a9af04e74c9f9a2698
SHA256: 32585acf318dae20dea09383095be647d00ce14aafa5db2838f0c57f4a64b2fe
SHA512: 2e05b6af36f6964077c0e2b96907add1b924a65cca727475c964e087337b89a6e2c41942dbd3f678bda8a73448a946aaba135d1d186f1999088cb8f257f8335b
Homepage: https://cran.r-project.org/package=sims
Description: CRAN Package 'sims' (Simulate Data from R or 'JAGS' Code)
 Generates data from R or 'JAGS' code for use in simulation studies.  The
 data are returned as an 'nlist::nlists' object and/or saved to file as
 individual '.rds' files.  Parallelization is implemented using the 'future'
 package.  Progress is reported using the 'progressr' package.

Package: r-cran-simsalapar
Architecture: all
Version: 1.0-12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sfsmisc, r-cran-gridbase, r-cran-colorspace
Suggests: r-cran-lattice, r-cran-rmpi, r-cran-hmisc, r-cran-copula, r-cran-foreach, r-cran-doparallel, r-cran-fgarch, r-cran-robustbase
Filename: pool/dists/focal/main/r-cran-simsalapar_1.0-12-1.ca2004.1_all.deb
Size: 453048
MD5sum: 3a34acda594b853905a009774c2dd701
SHA1: 3327cb9eb553e6adf6ab9c2c86632d0046d68fa4
SHA256: 3fc8db45442b23c9dc6325d201c79d437bda95862eaebb55c7770e37c6b193e0
SHA512: ae77750459128e7457abc8de891741ae34764704047133a5dcce72f9beda1464f0b8756def35e15289cfc4a47259d2077bbe908832b461f8b19eb74d16402367
Homepage: https://cran.r-project.org/package=simsalapar
Description: CRAN Package 'simsalapar' (Tools for Simulation Studies in Parallel)
 Tools for setting up ("design"), conducting, and evaluating large-scale
 simulation studies with graphics and tables, including parallel
 computations.

Package: r-cran-simscrpiecewise
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-simscrpiecewise_0.1.1-1.ca2004.1_all.deb
Size: 26368
MD5sum: 6996c9d6106f301a8a5ffdef2ea5c858
SHA1: ff58133c4c8ce558065503825e5f1529ee73feb5
SHA256: 948a814a07308518dc2cf7d7c81d8da78f151e2d512109dea11fc6f71f99443a
SHA512: 546f67736ef11e8e1c03204105eb65ea975c6e6e2740b3bd9778b538ecd75488df2a950a4fdde7d6f89f45591828132c0c5cdaf4dbb3f60cb1077b6d47c2b304
Homepage: https://cran.r-project.org/package=SimSCRPiecewise
Description: CRAN Package 'SimSCRPiecewise' ('Simulates Univariate and Semi-Competing Risks Data GivenCovariates and Piecewise Exponential Baseline Hazards')
 Contains two functions for simulating survival data from piecewise
 exponential hazards with a proportional hazards adjustment for covariates.
 The first function SimUNIVPiecewise simulates univariate survival data based
 on a piecewise exponential hazard, covariate matrix and true regression
 vector. The second function SimSCRPiecewise semi-competing risks data based
 on three piecewise exponential hazards, three true regression vectors and
 three matrices of patient covariates (which can be different or the same).
 This simulates from the Semi-Markov model of Lee et al (2015) given patient
 covariates, regression parameters, patient frailties and baseline hazard
 functions.

Package: r-cran-simsem
Architecture: all
Version: 0.5-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1253
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lavaan
Suggests: r-cran-quantreg, r-cran-kernsmooth, r-cran-semtools, r-cran-lavaan.mi, r-cran-openmx, r-cran-copula
Filename: pool/dists/focal/main/r-cran-simsem_0.5-17-1.ca2004.1_all.deb
Size: 1153524
MD5sum: 296f1033d3e6af5fa825c7e341cc9d2a
SHA1: 367ee13d8ba44e938408ee0763de10d494da514c
SHA256: 0b0b4ea7ba2a576ff9140600448b604adc5316ade80248ee7f895134a6eb6d7b
SHA512: 9c5927be2f5583cb22760666374d6b772c2347db1790d97ce350c263508cb97ec651b5d6aa093363c9a118cfe25ca005b542639d44a50b5ff0f6556c5f023c95
Homepage: https://cran.r-project.org/package=simsem
Description: CRAN Package 'simsem' (SIMulated Structural Equation Modeling)
 Provides an easy framework for Monte Carlo simulation in structural equation
 modeling, which can be used for various purposes, such as such as model fit
 evaluation, power analysis, or missing data handling and planning.

Package: r-cran-simseq
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4382
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-simseq_1.4.0-1.ca2004.1_all.deb
Size: 4443048
MD5sum: d5b9e14250e9a42706f637f486508ad3
SHA1: e1da94ccc5204ba916399484880df5b93aac9ac9
SHA256: cd08a624e10e165e25f05c7b495e5ecb8d0afd72901e49da73ebc9173ff8e8fa
SHA512: 596e7ee92342b399c48bb73f336b873d507f53d34982fcbf28f0e0c9492253a0a9cc98bdc257a510db88fe662f4ddda71e681bf92cbd55d3c73365e5c62bb940
Homepage: https://cran.r-project.org/package=SimSeq
Description: CRAN Package 'SimSeq' (Nonparametric Simulation of RNA-Seq Data)
 RNA sequencing analysis methods are often derived by relying on hypothetical
 parametric models for read counts that are not likely to be precisely
 satisfied in practice. Methods are often tested by analyzing data that have
 been simulated according to the assumed model. This testing strategy can
 result in an overly optimistic view of the performance of an RNA-seq
 analysis method. We develop a data-based simulation algorithm for RNA-seq
 data. The vector of read counts simulated for a given experimental unit has
 a joint distribution that closely matches the distribution of a source
 RNA-seq dataset provided by the user. Users control the proportion of genes
 simulated to be differentially expressed (DE) and can provide a vector of
 weights to control the distribution of effect sizes. The algorithm requires
 a matrix of RNA-seq read counts with large sample sizes in at least two
 treatment groups. Many datasets are available that fit this standard.

Package: r-cran-simsl
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-simsl_0.2.1-1.ca2004.1_all.deb
Size: 216908
MD5sum: 74dcd8e0a05def2cb19b24ab9966a0ab
SHA1: e688c0c456efb1ba1553063cc0629c2a7d1de5e1
SHA256: dd29105363a7ae746832ea466b5b37e98d583a4a32733ba3196845c4ba80ffc1
SHA512: b31a246b869e185925b80bce687ac820a5fa85857e9a4ff10ebf7e998e2d3517575bfdaace3d5894c6d223801a404ab3069fad3358a9d36eee1e7d3a1840d192
Homepage: https://cran.r-project.org/package=simsl
Description: CRAN Package 'simsl' (Single-Index Models with a Surface-Link)
 An implementation of a single-index regression for optimizing individualized
 dose rules from an observational study. To model interaction effects between
 baseline covariates and a treatment variable defined on a continuum, we
 employ two-dimensional penalized spline regression on an index-treatment
 domain, where the index is defined as a linear combination of the covariates
 (a single-index). An unspecified main effect for the covariates is allowed,
 which can also be modeled through a parametric model. A unique contribution
 of this work is in the parsimonious single-index parametrization
 specifically defined for the interaction effect term. We refer to Park,
 Petkova, Tarpey, and Ogden (2020) <doi:10.1111/biom.13320> (for the case of
 a discrete treatment) and Park, Petkova, Tarpey, and Ogden (2021) "A
 single-index model with a surface-link for optimizing individualized dose
 rules" <arXiv:2006.00267v2> for detail of the method. The model can take a
 member of the exponential family as a response variable and can also take an
 ordinal categorical response. The main function of this package is simsl().

Package: r-cran-simsst
Architecture: all
Version: 0.0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-gamlss.dist, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-simsst_0.0.5.2-1.ca2004.1_all.deb
Size: 54944
MD5sum: 5e0c74191bafb97368b834546a979f18
SHA1: 3c4719f5fb3ad3b7ece0151876a322859c1014e8
SHA256: a3d1c8dd3cb6772c7fc7b189d8b1fcf25ec91b7b175cc5c479422607dd9454db
SHA512: 2c8a0b2b362acb418c715b37b01ff022013bb556eb5ec3cc3f37c61b4aebb21733b15eee33700ae789ec614cb904ab7fec973db6614accb3260f889772708dbe
Homepage: https://cran.r-project.org/package=SimSST
Description: CRAN Package 'SimSST' (Simulated Stop Signal Task Data)
 Stop signal task data of go and stop trials is generated per participant.
 The simulation process is based on the generally non-independent horse race
 model and fixed stop signal delay or tracking method. Each of go and stop
 process is assumed having exponentially modified Gaussian(ExG) or Shifted
 Wald (SW) distributions. The output data can be converted to 'BEESTS'
 software input data enabling researchers to test and evaluate various brain
 stopping processes manifested by ExG or SW distributional parameters of
 interest. Methods are described in: Soltanifar M (2020)
 <https://hdl.handle.net/1807/101208>, Matzke D, Love J, Wiecki TV, Brown SD,
 Logan GD and Wagenmakers E-J (2013) <doi:10.3389/fpsyg.2013.00918>, Logan
 GD, Van Zandt T, Verbruggen F, Wagenmakers EJ. (2014)
 <doi:10.1037/a0035230>.

Package: r-cran-simstandard
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lavaan, r-cran-mvtnorm, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-stringr, r-cran-testthat, r-cran-covr, r-cran-badger
Filename: pool/dists/focal/main/r-cran-simstandard_0.6.3-1.ca2004.1_all.deb
Size: 926828
MD5sum: 427eaae0c3aebff1475ccb87a7667b66
SHA1: 0312d2767a7abc05367e6af8670df74d936fa140
SHA256: f835335a0bfb882b48df7b084fa5144594b8ac4a3f7e384376a2314fa7cd59f2
SHA512: 8fdddd1eca276b5fbe2361ed901f4bdd6e96ac536fd64826a7ad4e6a344608be75d1d11eaccea26c7c5c91c9ccc0f3370c6a0870fd16178a3428028776a623cf
Homepage: https://cran.r-project.org/package=simstandard
Description: CRAN Package 'simstandard' (Generate Standardized Data)
 Creates simulated data from structural equation models with standardized
 loading. Data generation methods are described in Schneider (2013)
 <doi:10.1177/0734282913478046>.

Package: r-cran-simsurv
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bb, r-cran-eha, r-cran-flexsurv, r-cran-mass, r-cran-rmarkdown, r-cran-rstpm2, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simsurv_1.0.0-1.ca2004.1_all.deb
Size: 114124
MD5sum: 694245f3827ecd2815585fc17a6d6111
SHA1: b34d4c13ea3a1ff1057e47f630a4802a86290e34
SHA256: e417eaf911c10dafc3922f53218a04679edca7c4bffca4fac8a65981f65bbcbf
SHA512: 4836bf3c4e0ea03101e947c640d821368270a394f1ed27fcf9919b3ec6c7c04fd88d78e4611cd7ca443e01c768eaabd58c904f7e38aec5b57f078f81e8214421
Homepage: https://cran.r-project.org/package=simsurv
Description: CRAN Package 'simsurv' (Simulate Survival Data)
 Simulate survival times from standard parametric survival distributions
 (exponential, Weibull, Gompertz), 2-component mixture distributions, or a
 user-defined hazard, log hazard, cumulative hazard, or log cumulative hazard
 function. Baseline covariates can be included under a proportional hazards
 assumption.  Time dependent effects (i.e. non-proportional hazards) can be
 included by interacting covariates with linear time or a user-defined
 function of time.  Clustered event times are also accommodated.  The
 2-component mixture distributions can allow for a variety of flexible
 baseline hazard functions reflecting those seen in practice.  If the user
 wishes to provide a user-defined hazard or log hazard function then this is
 possible, and the resulting cumulative hazard function does not need to have
 a closed-form solution.  For details see the supporting paper
 <doi:10.18637/jss.v097.i03>.  Note that this package is modelled on the
 'survsim' package available in the 'Stata' software (see Crowther and
 Lambert (2012) <https://www.stata-journal.com/sjpdf.html?articlenum=st0275>
 or Crowther and Lambert (2013) <doi:10.1002/sim.5823>).

Package: r-cran-simsurvey
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3645
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-stars, r-cran-data.table, r-cran-magrittr, r-cran-progress, r-cran-doparallel, r-cran-foreach, r-cran-plotly, r-cran-rlang, r-cran-lifecycle
Suggests: r-cran-fields, r-cran-rmarkdown, r-cran-flexdashboard, r-cran-shiny, r-cran-crosstalk, r-cran-htmltools, r-cran-viridis, r-cran-lme4, r-cran-ggplot2, r-cran-inlaspacetime, r-cran-knitr, r-cran-bezier
Filename: pool/dists/focal/main/r-cran-simsurvey_0.1.6-1.ca2004.1_all.deb
Size: 3638568
MD5sum: c17867a913161d570c97f363a480e491
SHA1: d066c40cf5dc0084abc7a3e4023df1c6702ddcfc
SHA256: 1039c5f52cfebdc0af4abbc4edcb44435c79e5b4160dc01f5363c0324f87f020
SHA512: 92b5d671b24816a526ddee1c772f89dad2a535ca77a98a64af9c4941debbd1775bd7ed1bc2ac2a8fda9e79b3fbf379017e3bd61aaf2a257a02a98ed65a2774e1
Homepage: https://cran.r-project.org/package=SimSurvey
Description: CRAN Package 'SimSurvey' (Test Surveys by Simulating Spatially-Correlated Populations)
 Simulate age-structured populations that vary in space and time and explore
 the efficacy of a range of built-in or user-defined sampling protocols to
 reproduce the population parameters of the known population.  (See Regular
 et al. (2020) <doi:10.1371/journal.pone.0232822> for more details).

Package: r-cran-simtargetcov
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simtargetcov_1.0.1-1.ca2004.1_all.deb
Size: 15208
MD5sum: 7c528fa96287b5144d018295f276c0e2
SHA1: 1cbc6557eac7949a84ab88d57492ccbf0e4484f8
SHA256: c01376feabaa985b98cd0f5a4447ddbf24b6ee3fb36830c266f36ab46bba7af9
SHA512: c416332947e57531b61e5d5d86da815d7e6573618d114cf43f56d7b5e0693d4bbeaeb8e03f1d4e7ef2d61e36d9dd31720cbbdb90656f2a34a1c8280093531330
Homepage: https://cran.r-project.org/package=simTargetCov
Description: CRAN Package 'simTargetCov' (Data Transformation or Simulation with Empirical CovarianceMatrix)
 Transforms or simulates data with a target empirical covariance matrix
 supplied by the user. The method to obtain the data with the target
 empirical covariance matrix is described in Section 5.1 of Christidis, Van
 Aelst and Zamar (2019) <arXiv:1812.05678>.

Package: r-cran-simtimer
Architecture: all
Version: 4.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-simtimer_4.0.0-1.ca2004.1_all.deb
Size: 205620
MD5sum: 1d961f92059de21619ba4d3fc4106500
SHA1: 2bc34db5d9db8f9cba42ea411e9d10441ce06bf3
SHA256: 9c09b22cbc59210b194337e326dba5d758504428ca6a043eee98fd77791a38ba
SHA512: 7828c1ac71e540dcdca45f40c23b58c05663d2e62a20cc7b8d45bb5f789bc6cdbff9d20b536a45d814c085c52096288e5e81fdcbca2f737c9e07a086c93a7f68
Homepage: https://cran.r-project.org/package=simtimer
Description: CRAN Package 'simtimer' (Datetimes as Integers for Discrete-Event Simulations)
 Handles datetimes as integers for the usage inside Discrete-Event
 Simulations (DES). The conversion is made using the internally generic
 function as.numeric() of the base package. DES is described in Simulation
 Modeling and Analysis by Averill Law and David Kelton (1999)
 <doi:10.2307/2288169>.

Package: r-cran-simtimevar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-metafor, r-cran-mvtnorm, r-cran-icc, r-cran-misctools, r-cran-car, r-cran-plyr, r-cran-corpcor, r-cran-psych
Filename: pool/dists/focal/main/r-cran-simtimevar_1.0.0-1.ca2004.1_all.deb
Size: 76984
MD5sum: e1fd48f2d3af2f255dd2571cbcd4c890
SHA1: fb86aa32e33acf700a3b245cb926794356ff55b5
SHA256: 507455e7bb9a5a4a480dc503943b2b49ed0f5b76861a7a3bb88d322b646ea147
SHA512: 1495ad6116f4996e78299ca998f1666a6788427c1805a57ecf80ba0659ffee4b32fc204f7d9277c059477ca16101ab63de2cb973ce9efa4be351cf322e6bcc21
Homepage: https://cran.r-project.org/package=SimTimeVar
Description: CRAN Package 'SimTimeVar' (Simulate Longitudinal Dataset with Time-Varying CorrelatedCovariates)
 Flexibly simulates a dataset with time-varying covariates with
 user-specified exchangeable correlation structures across and within
 clusters. Covariates can be normal or binary and can be static within a
 cluster or time-varying. Time-varying normal variables can optionally have
 linear trajectories within each cluster. See ?make_one_dataset for the main
 wrapper function. See Montez-Rath et al. <arXiv:1709.10074> for
 methodological details.

Package: r-cran-simtool
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1423
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-boot, r-cran-broom, r-cran-rmarkdown, r-cran-tinytest, r-cran-lintr, r-cran-roxygen2, r-cran-covr
Filename: pool/dists/focal/main/r-cran-simtool_1.1.8-1.ca2004.1_all.deb
Size: 559028
MD5sum: bf9967e7cfba7b0d906dc5a66df22a49
SHA1: 93dfe5e2ca36b02508c81bd6c6de36bdbc0d9165
SHA256: 8755e1cfed8ede35ea49b03e5242523b6062271f74de0f552fb5c2f6271bfea5
SHA512: 1e259397705aac5ec7ac4848d9622859882a3080d2542c10fc2bbe17c969cb34caa2aef3dc824c72a57b51d73afc07ad8d1f11278bdeeeda561960d5e5f82783
Homepage: https://cran.r-project.org/package=simTool
Description: CRAN Package 'simTool' (Conduct Simulation Studies with a Minimal Amount of Source Code)
 Tool for statistical simulations that have two components.  One component
 generates the data and the other one analyzes the data. The main aims of the
 package are the reduction of the administrative source code (mainly loops
 and management code for the results) and a simple applicability of the
 package that allows the user to quickly learn how to work with it. Parallel
 computing is also supported. Finally, convenient functions are provided to
 summarize the simulation results.

Package: r-cran-simtrait
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 589
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-prroc
Suggests: r-cran-popkin, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bnpsd, r-cran-bedmatrix
Filename: pool/dists/focal/main/r-cran-simtrait_1.1.3-1.ca2004.1_all.deb
Size: 339756
MD5sum: b2da8fabe3974e61f2953459590a9a60
SHA1: c2bbc276bff4d7abd9f39b45dd39e59b9bd49605
SHA256: 9264da2d486bcd3febfd0a3f04eef5f10ecff2eafd4f6c0f1f03ecb1911e4db1
SHA512: 9c3c222497e869fc478581c3dc424f6381dafe92fa446e3ddd56d7ec2cfa9aabfbc8069c84a1943d0ebd6c63a1c02c12f0950bec09cf9304b5800f947b8ed029
Homepage: https://cran.r-project.org/package=simtrait
Description: CRAN Package 'simtrait' (Simulate Complex Traits from Genotypes)
 Simulate complex traits given a SNP genotype matrix and model parameters
 (the desired heritability, number of causal loci, and either the true
 ancestral allele frequencies used to generate the genotypes or the mean
 kinship for a real dataset).  Emphasis on avoiding common biases due to the
 use of estimated allele frequencies.  The code selects random loci to be
 causal, constructs coefficients for these loci and random independent
 non-genetic effects, and can optionally generate random group effects.
 Traits can follow three models: random coefficients, fixed effect sizes, and
 infinitesimal (multivariate normal).  GWAS method benchmarking functions are
 also provided.  Described in Yao and Ochoa (2022)
 <doi:10.1101/2022.03.25.485885>.

Package: r-cran-simuclustfactor
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simuclustfactor_0.0.3-1.ca2004.1_all.deb
Size: 147404
MD5sum: 2b31eb993a8bd7cebc0683b10e396e00
SHA1: 0f97db0b12bf0b2e31df687ea65a569582812268
SHA256: 145914a2dc1fbe6a600c508d6e3db0b48d67d413aaddfea98e5edf93a6e10cfb
SHA512: 70a7d13514972c63d0390ce69c9212a43235a71a93f0c2b1422cf84c2dfd8defc166c15339cfc1b0e1fa91b579a0467b83a38bc86bcd222269377472516c6788
Homepage: https://cran.r-project.org/package=simuclustfactor
Description: CRAN Package 'simuclustfactor' (Simultaneous Clustering and Factorial Decomposition of Three-WayDatasets)
 Implements two iterative techniques called T3Clus and 3Fkmeans, aimed at
 simultaneously clustering objects and a factorial dimensionality reduction
 of variables and occasions on three-mode datasets developed by Vichi et al.
 (2007) <doi:10.1007/s00357-007-0006-x>. Also, we provide a convex
 combination of these two simultaneous procedures called CT3Clus and based on
 a hyperparameter alpha (alpha in [0,1], with 3FKMeans for alpha=0 and T3Clus
 for alpha= 1) also developed by Vichi et al. (2007)
 <doi:10.1007/s00357-007-0006-x>. Furthermore, we implemented the traditional
 tandem procedures of T3Clus (TWCFTA) and 3FKMeans (TWFCTA) for sequential
 clustering-factorial decomposition (TWCFTA), and vice-versa (TWFCTA)
 proposed by P. Arabie and L. Hubert (1996)
 <doi:10.1007/978-3-642-79999-0_1>.

Package: r-cran-simukde
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ks, r-cran-mvtnorm, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-simukde_1.3.0-1.ca2004.1_all.deb
Size: 46176
MD5sum: 4e0aa4c1906e7ca9314e2a99887e96a3
SHA1: 835a7e69297e5930f1758821d69065954ae4b6a2
SHA256: 346931d56b8e1fce3201c6665ca1e2ed80e59c03a198d7f4338f8c0c2209c0f9
SHA512: d7f8fec5951b4a901cdc80a1ad2e5f63217862c6df63897bdcf5dc8945f14fc17c67827444c4ae8df959a20b1ba14d686258df615512c92b289933713686a1c8
Homepage: https://cran.r-project.org/package=simukde
Description: CRAN Package 'simukde' (Simulation with Kernel Density Estimation)
 Generates random values from a univariate and multivariate continuous
 distribution by using kernel density estimation based on a sample. Duong
 (2017) <doi:10.18637/jss.v021.i07>, Christian P. Robert and George Casella
 (2010 ISBN:978-1-4419-1575-7) <doi:10.1007/978-1-4419-1576-4>.

Package: r-cran-simulariatools
Architecture: all
Version: 2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1513
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-lubridate, r-cran-reshape2, r-cran-reticulate, r-cran-scales, r-cran-terra
Suggests: r-cran-magick, r-cran-contourer, r-cran-testthat, r-cran-raster, r-cran-openair
Filename: pool/dists/focal/main/r-cran-simulariatools_2.5.1-1.ca2004.1_all.deb
Size: 858668
MD5sum: ab94d4d9ae1e09cf432fb51053f3389d
SHA1: d219524a7e69e821a027967371f3da8917a63bae
SHA256: a8e1c5941fee57fe9a4712bd3e055c04ec1037bfbe24efbc1ec8749a3b9621ab
SHA512: e4157ee0359593e3478bf17f800d2a936ec9ab0e7b4af6d3f028473136779b47137fc349d6525034e7b1f6b82b34e435b447761b166f75702ee04effa2488af8
Homepage: https://cran.r-project.org/package=simulariatools
Description: CRAN Package 'simulariatools' (Simularia Tools for the Analysis of Air Pollution Data)
 A set of tools developed at Simularia for Simularia, to help preprocessing
 and post-processing of meteorological and air quality data.

Package: r-cran-simulator
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1993
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr
Suggests: r-cran-digest, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-glmnet, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-simulator_0.2.5-1.ca2004.1_all.deb
Size: 1339172
MD5sum: 2b4e0746c08b067c8e76f24664518bf4
SHA1: 1d9e3a4f948aceb07ecb23c9085d4c33e9d1bd9a
SHA256: fd1646c680656b35ee6f4dcc558babc8e223b35777c73805c31ea6ce933a5d49
SHA512: 03d940d9a6e736bd2430684bc151e030781f2eb4b056f8c5fc137d009aec30fbbe52a7115310fc281f204671e8bc481b0e8ba699319b8c8dee4b77cb709d10f1
Homepage: https://cran.r-project.org/package=simulator
Description: CRAN Package 'simulator' (An Engine for Running Simulations)
 A framework for performing simulations such as those common in
 methodological statistics papers.  The design principles of this package are
 described in greater depth in Bien, J. (2016) "The simulator: An Engine to
 Streamline Simulations," which is available at <arXiv:1607.00021>.

Package: r-cran-simule
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-pcapp, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-simule_1.3.0-1.ca2004.1_all.deb
Size: 377524
MD5sum: 635980e9615612b9c791ea2d1d648d50
SHA1: aaefd16a568a19411f4b918f4f10e7a5ff262bc8
SHA256: 4b45de4fa80bd18a907b33f47e50c844c32ed7c27a113e6bfbba32f84a5db146
SHA512: 24ad5bd8573cb83cef70c5ff8491022f0f9b7ac6cbc652ecb2bda6865a2d7c60fe68ed73755b92838c3824addbe8de644fa75d3b4c981695f51dde4d68c5b567
Homepage: https://cran.r-project.org/package=simule
Description: CRAN Package 'simule' (A Constrained L1 Minimization Approach for Estimating MultipleSparse Gaussian or Nonparanormal Graphical Models)
 This is an R implementation of a constrained l1 minimization approach for
 estimating multiple Sparse Gaussian or Nonparanormal Graphical Models
 (SIMULE). The SIMULE algorithm can be used to estimate multiple related
 precision matrices. For instance, it can identify context-specific gene
 networks from multi-context gene expression datasets. By performing
 data-driven network inference from high-dimensional and heterogenous data
 sets, this tool can help users effectively translate aggregated data into
 knowledge that take the form of graphs among entities. Please run
 demo(simuleDemo) to learn the basic functions provided by this package. For
 further details, please read the original paper: Beilun Wang, Ritambhara
 Singh, Yanjun Qi (2017) <DOI:10.1007/s10994-017-5635-7>.

Package: r-cran-simulist
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4718
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-english, r-cran-epiparameter, r-cran-randomnames, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-epicontacts, r-cran-ggplot2, r-cran-incidence2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-simulist_0.5.0-1.ca2004.1_all.deb
Size: 1140548
MD5sum: 88a6965fbab02639366d7853aa6ef2d3
SHA1: d174472fe1d772aea7cf006a7a5fdeebe859855c
SHA256: b999b61a0e517036adb577ebef2d8aaa41c69e0faac07838b50606cbc1aa91a3
SHA512: 5d1c8b4a5bd0c292f08cc65d0be1333c5cebabaa7ef9abe54250ffd24e5c8b8c6e265769cd7c3e3bbdd5df9e1b0e581525641e656d2d8929947cc274999e532a
Homepage: https://cran.r-project.org/package=simulist
Description: CRAN Package 'simulist' (Simulate Disease Outbreak Line List and Contacts Data)
 Tools to simulate realistic raw case data for an epidemic in the form of
 line lists and contacts using a branching process.  Simulated outbreaks are
 parameterised with epidemiological parameters and can have age-structured
 populations, age-stratified hospitalisation and death risk and time-varying
 case fatality risk.

Package: r-cran-simulmgf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-simulmgf_0.1.1-1.ca2004.1_all.deb
Size: 31208
MD5sum: 42e8d4c1215adc2277e10d466357ab4f
SHA1: aa91c5bf108b5f75c32ba23f69a8e00550cd90a6
SHA256: da17b9dd2550f266c8274787c163be111f267380f2d5c4f889b2db686f58954d
SHA512: 9290080b7e73c833f3933771f700ff4374e14ad39407d8a9566dbb0ff8becb3dfe3cd79751f0c2747f02f09f1080180888d97847e880dcc9de171d5fbb6e31f2
Homepage: https://cran.r-project.org/package=simulMGF
Description: CRAN Package 'simulMGF' (Simulate SNP Matrix, Phenotype and Genotypic Effects)
 Simulate genotypes in SNP (single nucleotide polymorphisms) Matrix as random
 numbers from an uniform distribution, for diploid organisms (coded by 0, 1,
 2), Sikorska et al., (2013) <doi:10.1186/1471-2105-14-166>, or
 half-sib/full-sib SNP matrix from real or simulated parents SNP data,
 assuming mendelian segregation. Simulate phenotypic traits for real or
 simulated SNP data, controlled by a specific number of quantitative trait
 loci and their effects, sampled from a Normal or an Uniform distributions,
 assuming a pure additive model. This is useful for testing association and
 genomic prediction models or for educational purposes.

Package: r-cran-simvitd
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-simpleboot
Filename: pool/dists/focal/main/r-cran-simvitd_1.0.3-1.ca2004.1_all.deb
Size: 586232
MD5sum: 8a91b731f0e48a944174182e7be1f535
SHA1: 7114cb337aea8a2b9ecb14c04b623a56b3677879
SHA256: c99ae671c9adffe43c0775aaf38f68df08185c2f1f018194906247500caffb78
SHA512: aadfcc99aa17875eabfa5e02952bf296b6c92b3c54699a062fb51b6dca143212b9831f06e1254ec00f40a08791d607cb1c09ee384bf33db2028f2887e3a54932
Homepage: https://cran.r-project.org/package=SimVitD
Description: CRAN Package 'SimVitD' (Simulation Tools for Planning Vitamin D Studies)
 Simulation tools for planning Vitamin D studies. Individual vitamin D status
 profiles are simulated, modelling population heterogeneity in trial arms.
 Exposures to infectious agents are generated, with infection depending on
 vitamin D status.

Package: r-cran-sin
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sin_0.6-1.ca2004.1_all.deb
Size: 120832
MD5sum: c4f09cce3ad1cbb432e1d4664c81a296
SHA1: 66b0abaa8a75494f01d4e7a2164e60a4eb08201e
SHA256: 6a705793c884409044a6e89613c503e03b536843b3ec36d4bbf1d6a99244509c
SHA512: 8db837ea5f79722cd26be2dc804eb5acd15e57f34b5d42e406dd1c687f6e9377f8f9db81c39b69cfcc4f23e43be8a8a161a888c83680312b72ab4300cbc9b102
Homepage: https://cran.r-project.org/package=SIN
Description: CRAN Package 'SIN' (A SINful Approach to Selection of Gaussian Graphical MarkovModels)
 This package provides routines to perform SIN model selection as described
 in Drton & Perlman (2004, 2008).  The selected models are represented in the
 format of the 'ggm' package, which allows in particular parameter estimation
 in the selected model.

Package: r-cran-sinaplot
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-sinaplot_1.1.0-1.ca2004.1_all.deb
Size: 1150552
MD5sum: 92970deea09199b7536e34e464cdaaa2
SHA1: 4a00d318d3e0dfcc92d3539d3bff12e0cc562919
SHA256: ae6a18ada0351165b9e439dc40bec0e529698d992ffa7f4239d81f9ed20761d8
SHA512: 99eed60f02d9093a59058f91f5e54981e690be0a667b30a8f9da01ae4f12ef3634843332a8fbe4a1a13193c953c5b6e1617b1f47802dbeddf4b70057ec7711ac
Homepage: https://cran.r-project.org/package=sinaplot
Description: CRAN Package 'sinaplot' (An Enhanced Chart for Simple and Truthful Representation ofSingle Observations over Multiple Classes)
 The sinaplot is a data visualization chart suitable for plotting any single
 variable in a multiclass data set. It is an enhanced jitter strip chart,
 where the width of the jitter is controlled by the density distribution of
 the data within each class.

Package: r-cran-sinar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-sinar_0.1.0-1.ca2004.1_all.deb
Size: 38028
MD5sum: 785e863d8376d227fa80152a7e5d55b5
SHA1: 80787d6562a2a15b1e28c97e489fe0080e4329ed
SHA256: 8f6c947423cbbdffd0feb3b1c45fbd4ec3b4cab908f817704f2a16743624beb4
SHA512: 59e173ae51509e7929e195dcc556f1e9c0f6f284fec32f01dd0c89089db3d1517f176e0538218d0260bcf124bf23ed79e7fbc1ce8a734bf055cd4711d546806b
Homepage: https://cran.r-project.org/package=sinar
Description: CRAN Package 'sinar' (Conditional Least Squared (CLS) Method for the Model SINAR(1,1))
 Implementation of the Conditional Least Square (CLS) estimates and its
 covariance matrix for the first-order spatial integer-valued autoregressive
 model (SINAR(1,1)) proposed by Ghodsi (2012)
 <doi:10.1080/03610926.2011.560739>.

Package: r-cran-sindyr
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrangements, r-cran-matrixstats, r-cran-igraph, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-sindyr_0.2.4-1.ca2004.1_all.deb
Size: 43524
MD5sum: 9e5b00531e3d843875748a70ac9d4f4b
SHA1: 326e4743d81105bc12176a14bcef13925d8be89a
SHA256: 384f5549773d1a3de63f150b7a8da1443dae1e10dab0fa673b3ee7c246650a8e
SHA512: 7517a29a10264607eb8ef7036150f5081dc2cfa0562ceafe258160036ba265eac35be9f245e6de27570230c072dcd9553fe28b9cc90b79c03741c80ba1657128
Homepage: https://cran.r-project.org/package=sindyr
Description: CRAN Package 'sindyr' (Sparse Identification of Nonlinear Dynamics)
 This implements the Brunton et al (2016; PNAS <doi:10.1073/pnas.1517384113>)
 sparse identification algorithm for finding ordinary differential equations
 for a measured system from raw data (SINDy). The package includes a set of
 additional tools for working with raw data, with an emphasis on cognitive
 science applications (Dale and Bhat, 2018
 <doi:10.1016/j.cogsys.2018.06.020>). See <https://github.com/racdale/sindyr>
 for examples and updates.

Package: r-cran-sinew
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstudioapi, r-cran-sos, r-cran-stringi, r-cran-yaml, r-cran-crayon, r-cran-cli, r-cran-rematch2
Suggests: r-cran-rcmdcheck, r-cran-git2r, r-cran-shiny, r-cran-miniui, r-cran-withr, r-cran-usethis, r-cran-fs, r-cran-details, r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sinew_0.4.0-1.ca2004.1_all.deb
Size: 243244
MD5sum: 3a27ee25065118518b54bac4d98f4226
SHA1: 4acdfdb7217fed03492eeb6afcb5c4eb7704f914
SHA256: 57ca656d964dabc458a841a64d2cbc035b0e9ee17240bac869a8f6192701477e
SHA512: e63807a8425752737030252148786c3b013e41a286f093f33fde037eb1e7f5db2d3b86f330d4fbdeebd0cf173c5e723ec7c69e6af6a8577cbbfa48a15894adb0
Homepage: https://cran.r-project.org/package=sinew
Description: CRAN Package 'sinew' (Package Development Documentation and Namespace Management)
 Manage package documentation and namespaces from the command line.
 Programmatically attach namespaces in R and Rmd script, populates 'Roxygen2'
 skeletons with information scraped from within functions and populate the
 Imports field of the DESCRIPTION file.

Package: r-cran-singcar
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 516
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cholwishart, r-cran-mass, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-lme4, r-cran-lmertest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-singcar_0.1.5-1.ca2004.1_all.deb
Size: 227056
MD5sum: 3853cd4650794feae451484137b65107
SHA1: fa78d9f210f3cbfc66c108e6d8f779901a67b890
SHA256: 50f22b8093dff9e807e499a29f5f0b61ae3a4e4876929ac029ee9d6726439280
SHA512: 393290d6aab654d78e1d84a10d6ed97711b178079f72987e3572054828c9d855cc64cb2f4019f596da1fadd9ccaaf85df675f0911c90089558bc9ae9bde64aea
Homepage: https://cran.r-project.org/package=singcar
Description: CRAN Package 'singcar' (Comparing Single Cases to Small Samples)
 When comparing single cases to control populations and no parameters are
 known researchers and clinicians must estimate these with a control sample.
 This is often done when testing a case's abnormality on some variable or
 testing abnormality of the discrepancy between two variables. Appropriate
 frequentist and Bayesian methods for doing this are here implemented,
 including tests allowing for the inclusion of covariates. These have been
 developed first and foremost by John Crawford and Paul Garthwaite, e.g. in
 Crawford and Howell (1998) <doi:10.1076/clin.12.4.482.7241>, Crawford and
 Garthwaite (2005) <doi:10.1037/0894-4105.19.3.318>, Crawford and Garthwaite
 (2007) <doi:10.1080/02643290701290146> and Crawford, Garthwaite and Ryan
 (2011) <doi:10.1016/j.cortex.2011.02.017>. The package is also equipped with
 power calculators for each method.

Package: r-cran-singlecasees
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 833
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-tidyr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-spelling, r-cran-shiny, r-cran-stringr, r-cran-rvest, r-cran-xml2, r-cran-ggplot2, r-cran-purrrlyr, r-cran-testthat, r-cran-markdown, r-cran-knitr, r-cran-rmarkdown, r-cran-cleanrmd, r-cran-kendall, r-cran-kableextra, r-cran-covr, r-cran-readxl, r-cran-glue, r-cran-janitor, r-cran-rclipboard
Filename: pool/dists/focal/main/r-cran-singlecasees_0.7.3-1.ca2004.1_all.deb
Size: 291240
MD5sum: 2c4f6d7eb29932295459dbbd89d5bffd
SHA1: fcd64a82c248762b255fa73bfbf372f02a9f2b6e
SHA256: 10dd33d1752972321454acc9996612c2673886064cb12bb14738be3b02d954d6
SHA512: 53fae7e5deec4418bcb2fadfc2c37160911fdc6c8ebd5cdfccb426b333ad09aa54946b7126747d7d4cfb91e76b66017714936c5a553297a3820cbc1399f06a42
Homepage: https://cran.r-project.org/package=SingleCaseES
Description: CRAN Package 'SingleCaseES' (A Calculator for Single-Case Effect Sizes)
 Provides R functions for calculating basic effect size indices for
 single-case designs, including several non-overlap measures and parametric
 effect size measures, and for estimating the gradual effects model developed
 by Swan and Pustejovsky (2018) <DOI:10.1080/00273171.2018.1466681>.
 Standard errors and confidence intervals (based on the assumption that the
 outcome measurements are mutually independent) are provided for the subset
 of effect sizes indices with known sampling distributions.

Package: r-cran-singlecellcomplexheatmap
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-complexheatmap, r-cran-seurat, r-cran-dplyr, r-cran-tidyr, r-cran-rcolorbrewer, r-cran-circlize, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-viridis, r-cran-devtools, r-cran-biocmanager, r-cran-ggsci, r-cran-seuratobject
Filename: pool/dists/focal/main/r-cran-singlecellcomplexheatmap_0.1.2-1.ca2004.1_all.deb
Size: 645872
MD5sum: 030c7f210ad7198bdabfec979cdd23c9
SHA1: 4adaad2b3b8cafbd3b498883632b3b20340f89c1
SHA256: 7b73783413c04cdc85aed10518c855e0a98db361e1324cad8cfada0b67312c2e
SHA512: 60ad3e89159227dbc8abcbc736c4ae5619646a272a8725e1f3e75a940c4a3fb24ee29cd07f64282068ef36d8d9586ac81d6fbfbefd412f1cddd35a6b91ad9110
Homepage: https://cran.r-project.org/package=SingleCellComplexHeatMap
Description: CRAN Package 'SingleCellComplexHeatMap' (Complex Heatmaps for Single Cell Expression Data with DualInformation Display)
 Creates complex heatmaps for single cell RNA-seq data that simultaneously
 display gene expression levels (as color intensity) and expression
 percentages (as circle sizes). Supports gene grouping, cell type
 annotations, and time point comparisons. Built on top of 'ComplexHeatmap'
 and integrates with 'Seurat' objects.  For more details see Gu (2022)
 <doi:10.1002/imt2.43> and Hao (2024) <doi:10.1038/s41587-023-01767-y>.

Package: r-cran-singlecellhaystack
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-cran-seuratobject, r-cran-cowplot, r-cran-wrswor, r-bioc-sparsematrixstats, r-bioc-complexheatmap, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-singlecellhaystack_1.0.2-1.ca2004.1_all.deb
Size: 535596
MD5sum: 5bec998c6e0bcf4df4001cb103ce1d9f
SHA1: 2824e6a09fb6449ba8792517c712839c02a7ba1f
SHA256: 8d52836ce4761403122c74a0c17562fb295cf88739894cbe98b0b0c60e9f4c7c
SHA512: 244ebedc961771f2dfe5766618c9dc39b1faac254702e8f317f77e417873305fbe85445a023fe8f1e436a20012917290c158f1f2a7c9b9f5ef7321e94934bdf4
Homepage: https://cran.r-project.org/package=singleCellHaystack
Description: CRAN Package 'singleCellHaystack' (A Universal Differential Expression Prediction Tool forSingle-Cell and Spatial Genomics Data)
 One key exploratory analysis step in single-cell genomics data analysis is
 the prediction of features with different activity levels. For example, we
 want to predict differentially expressed genes (DEGs) in single-cell RNA-seq
 data, spatial DEGs in spatial transcriptomics data, or differentially
 accessible regions (DARs) in single-cell ATAC-seq data. 'singleCellHaystack'
 predicts differentially active features in single cell omics datasets
 without relying on the clustering of cells into arbitrary clusters.
 'singleCellHaystack' uses Kullback-Leibler divergence to find features
 (e.g., genes, genomic regions, etc) that are active in subsets of cells that
 are non-randomly positioned inside an input space (such as 1D trajectories,
 2D tissue sections, multi-dimensional embeddings, etc). For the theoretical
 background of 'singleCellHaystack' we refer to our original paper Vandenbon
 and Diez (Nature Communications, 2020) <doi:10.1038/s41467-020-17900-3> and
 our update Vandenbon and Diez (Scientific Reports, 2023)
 <doi:10.1038/s41598-023-38965-2>.

Package: r-cran-singlecellstat
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2569
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrixstats, r-cran-matrix, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-singlecellstat_0.3.1-1.ca2004.1_all.deb
Size: 2595804
MD5sum: 9dbcac7e86a5657e893ba4e4a7623a31
SHA1: 4049a9e34327c9f0e25bd7734f018a0e8ec1997c
SHA256: c3516bf2fd21aa105ba6a587cc6c7ec976632be291c1c3402a61d77cbea96072
SHA512: c7f706fd0457299c248401c74885c5bbbaebb4a7c1a2080a6061a52fd4a8a0e2cf14e96778ccbb6a3c96ec87e2d963e6d74f1dcd406d90710eb674a51dd220ce
Homepage: https://cran.r-project.org/package=SingleCellStat
Description: CRAN Package 'SingleCellStat' (A Toolkit for Statistical Analysis of Single-Cell Omics Data)
 A suite of statistical methods for analysis of single-cell omics data
 including linear model-based methods for differential abundance analysis for
 individual level single-cell RNA-seq data. For more details see Zhang, et
 al. (Submitted to
 Bioinformatics)<https://github.com/Lujun995/DiSC_Replication_Code>.

Package: r-cran-singlercapture
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lamw, r-cran-mathjaxr, r-cran-sandwich, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-tinytest, r-cran-covr, r-cran-vgam, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-singlercapture_0.2.3-1.ca2004.1_all.deb
Size: 1575092
MD5sum: a0f08fcb54a616f232fa1d94ec2ed948
SHA1: 56ec1ce8a71ea6e38dd66157802d917cbb1e70bd
SHA256: ff9f5e59d029fe4997035d7df52fe7c31eab198ed3e9e5c815f95e2ea7950603
SHA512: bb250af39a904af8e5d054ea4d33227f3aaccc95facdd0627ee2cd86aeafb0889e942694711efb8bf235e4c1e68dd48fa6ca536253602e035efcbe27048632a8
Homepage: https://cran.r-project.org/package=singleRcapture
Description: CRAN Package 'singleRcapture' (Single-Source Capture-Recapture Models)
 Implementation of single-source capture-recapture methods for population
 size estimation using zero-truncated, zero-one truncated and zero-truncated
 one-inflated Poisson, Geometric and Negative Binomial regression as well as
 Zelterman's and Chao's regression. Package includes point and interval
 estimators for the population size with variances estimated using analytical
 or bootstrap method. Details can be found in: van der Heijden et all. (2003)
 <doi:10.1191/1471082X03st057oa>, Böhning and van der Heijden (2019)
 <doi:10.1214/18-AOAS1232>, Böhning et al. (2020) Capture-Recapture Methods
 for the Social and Medical Sciences or Böhning and Friedl (2021)
 <doi:10.1007/s10260-021-00556-8>.

Package: r-cran-sinib
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sinib_1.0.0-1.ca2004.1_all.deb
Size: 24916
MD5sum: 03ceb1630dcec34d772551668afcb0e9
SHA1: 2c69cdbc006f8306ece0dbd2428b0d78a731a04e
SHA256: 50d7f8e197fff5268f12cfab84f0b30caf887dab5268784367375800a520bac9
SHA512: efc6e10e22a790437b662f63f03aa666c525cd73b6b6897b65f4354c4ae9baf37a4841958a2b8e561f4c79211f8aa4cccd56bd0b87312ec32d4c54aac189b061
Homepage: https://cran.r-project.org/package=sinib
Description: CRAN Package 'sinib' (Sum of Independent Non-Identical Binomial Random Variables)
 Density, distribution function, quantile function and random generation for
 the sum of independent non-identical binomial distribution with parameters
 \code{size} and \code{prob}.

Package: r-cran-siniw
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-siniw_0.2-1.ca2004.1_all.deb
Size: 18740
MD5sum: 47578e45bb7a1001e8537b1d87a4ff07
SHA1: 97a02fb54435ab799151bedff56e7e01cc324a58
SHA256: 31c19235a1588f6cabfbcc55c969bd5dea1d1a48aa57424dfd47d583e03d79f6
SHA512: 2c64f26cd6866977132298422715bc35f934918bc5abebbc86240dbc893d1efa89309ab766b0ffd3662be0cac9dd53f079e976d997ecadd365825670a3d2936e
Homepage: https://cran.r-project.org/package=SinIW
Description: CRAN Package 'SinIW' (The SinIW Distribution)
 Density, distribution function, quantile function, random generation and
 survival function for the Sine Inverse Weibull Distribution as defined by
 SOUZA, L. New Trigonometric Class of Probabilistic Distributions.  219 p.
 Thesis (Doctorate in Biometry and Applied Statistics) - Department of
 Statistics and Information, Federal Rural University of Pernambuco, Recife,
 Pernambuco, 2015 (available at
 <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>)
 and BRITO, C. C. R. Method Distributions generator and Probability
 Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied
 Statistics) - Department of Statistics and Information, Federal Rural
 University of Pernambuco, Recife, Pernambuco, 2014 (available upon request).

Package: r-cran-sinrelef.ld
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-sinrelef.ld_1.1.0-1.ca2004.1_all.deb
Size: 86784
MD5sum: 3fbb653a17ce52b091210327256ebdc4
SHA1: a4c8acd83edfa3dc57f89f5828f78c673f3f890d
SHA256: d9a1044fb35c13c51ed3476137cf56303828711cccb6f33a6046dcfe6a81b72a
SHA512: 84e8e131532a539e37c45f74182d4a8ca77b9f56beece24bdb9a8a698312511f97def70aaa8e66af0265b75a9d62749dd950f899762914be7902e16dd6a2e7ee
Homepage: https://cran.r-project.org/package=SINRELEF.LD
Description: CRAN Package 'SINRELEF.LD' (Reliability and Relative Efficiency in Locally-DependentMeasures)
 Implements an approach aimed at assessing the accuracy and effectiveness of
 raw scores obtained in scales that contain locally dependent items. The
 program uses as input the calibration (structural) item estimates obtained
 from fitting extended unidimensional factor-analytic solutions in which the
 existing local dependencies are included. Measures of reliability (Omega)
 and information are proposed at three levels: (a) total score, (b)
 bivariate-doublet, and (c) item-by-item deletion, and are compared to those
 that would be obtained if all the items had been locally independent. All
 the implemented procedures can be obtained from: (a) linear factor-analytic
 solutions in which the item scores are treated as approximately continuous,
 and (b) non-linear solutions in which the item scores are treated as
 ordered-categorical. A detailed guide can be obtained at the following url.

Package: r-cran-sipdibge
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-covidibge, r-cran-pnadcibge, r-cran-pndsibge, r-cran-pnsibge, r-cran-cli, r-cran-png, r-cran-purrr, r-cran-rstudioapi, r-cran-tibble
Suggests: r-cran-convey, r-cran-dplyr, r-cran-httr, r-cran-magrittr, r-cran-projmgr, r-cran-rcurl, r-cran-readr, r-cran-readxl, r-cran-srvyr, r-cran-survey, r-cran-timedate
Filename: pool/dists/focal/main/r-cran-sipdibge_0.2.1-1.ca2004.1_all.deb
Size: 363808
MD5sum: 9799b0de97284a78d575a423e93dc714
SHA1: 08ced30f78c8e4127d31540c302e226d79849116
SHA256: a593607bc3c9f005c719b30f5cd83af03af3aea0993009117a4007e3daaf1590
SHA512: 895cec6bfb108d0103e47dbfac2f4800ebbc1f58b63bad263210b9b8c8328b3b9ccf97efe53be08245017b113bd2b24a06d1a4d8164c0bc9b5a6d9f1c4d3cc54
Homepage: https://cran.r-project.org/package=SIPDIBGE
Description: CRAN Package 'SIPDIBGE' (Collection of Household Survey Packages Conducted by IBGE)
 Provides access to packages developed for downloading, reading and analyzing
 microdata from household surveys in Integrated System of Household Surveys -
 SIPD conducted by Brazilian Institute of Geography and Statistics - IBGE.
 More information can be obtained from the official website
 <https://www.ibge.gov.br/>.

Package: r-cran-sipetool
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-convolutioner
Filename: pool/dists/focal/main/r-cran-sipetool_0.1.0-1.ca2004.1_all.deb
Size: 246504
MD5sum: 143f6c5beb9711c124da8746625f9211
SHA1: c945c79963a29cbfdadfc73aae396577e01a9acd
SHA256: 5be6c755d302a820cf70f18dc001537a947b13ee1f720fce48ed49661f502f14
SHA512: bc55671b5278067b9ea310f293fd201c62fc5c4578da75024fe89411b3a74d3dff31652bbe536704620ee254937edd920ad904241e92ed57cd81dab1fc0a2c80
Homepage: https://cran.r-project.org/package=SIPETool
Description: CRAN Package 'SIPETool' (SIFT-MS and CPET Data Processor)
 Processor for selected ion flow tube mass spectrometer (SIFT-MS) output file
 from breath analysis. It allows the filtering of the SIFT output file (i.e.,
 variation over time of the target analyte concentration) and the following
 analysis for the determination of: maximum, average, and standard deviation
 value of target concentration measured at each exhalation, and the
 respiratory rate over the measurement. Additionally, it is possible to align
 the SIFT-MS data with other on-line techniques such as cardio pulmonary
 exercise test (CPET) for a comprehensive characterization of breath samples.

Package: r-cran-siplab
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 559
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spatstat, r-cran-spatstat.geom
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-siplab_1.6-1.ca2004.1_all.deb
Size: 479036
MD5sum: cf6193bc3825dd7997aca6194e822ecd
SHA1: 83e085b75dcfe1fb586fb34c3e401c53b006e5b0
SHA256: 2746e8ca14047b5e7cab715fb31e1e1b876aa139510be564bf24debddd9e27be
SHA512: 2b04c0b1797e4150f839e6021786c8da2754a03167681265d49fbacd38f7a9513e3eb9b373a7cc7f50b0b36fd2c190c33c1ab936e52ac7b022e30448927d4b1f
Homepage: https://cran.r-project.org/package=siplab
Description: CRAN Package 'siplab' (Spatial Individual-Plant Modelling)
 A platform for computing competition indices and experimenting with
 spatially explicit individual-based vegetation models.

Package: r-cran-siqr
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-siqr_0.8.1-1.ca2004.1_all.deb
Size: 28652
MD5sum: d801219f632c411b4041c490a7b29cf7
SHA1: 9d55905a7ece0ee96b7ed2720810c4aab0c0bd40
SHA256: c8c0887f6fb382d05188d99e79a71ee0f7a3898f8a5c10a0f07695c007204ec4
SHA512: daafab132cf5d65a34a816c512e9b29b8ccf9b1756c10fe3f73a8fa3505957692b9bd1658e14e4d0459ac44dd7b02fd2c4e45acb7dc17cd5ef5ed275173febcb
Homepage: https://cran.r-project.org/package=siqr
Description: CRAN Package 'siqr' (An R Package for Single-Index Quantile Regression)
 Single-Index Quantile Regression is effective in some scenarios. We provides
 functions that allow users to fit Single-Index Quantile Regression model. It
 also provides functions to do prediction, estimate standard errors of the
 single-index coefficients via bootstrap, and visualize the estimated
 univariate function. Please see W., Y., Y. (2010)
 <doi:10.1016/j.jmva.2010.02.003> for details.

Package: r-cran-sirad
Architecture: all
Version: 2.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3067
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-raster
Filename: pool/dists/focal/main/r-cran-sirad_2.3-3-1.ca2004.1_all.deb
Size: 3097792
MD5sum: 0f3eca008879d972b01d1e9fd24aaae2
SHA1: 191433c4898b5fce9a17463ec3701929d902a2ba
SHA256: fe3bd15b1e49bcc9f19205addc3cf9132e4799236c51e5ec208ace8fde9cf931
SHA512: f2fd226ee468de9f7bd02cc15c2480b8a00561c650a524412e84a883d406e4e6004285cba1ff8b1fbdb23fb8d13fd9fb305bce8c22d38b18d020809e838f954f
Homepage: https://cran.r-project.org/package=sirad
Description: CRAN Package 'sirad' (Functions for Calculating Daily Solar Radiation andEvapotranspiration)
 Calculating daily global solar radiation at horizontal surface using several
 well-known models (i.e. Angstrom-Prescott, Supit-Van Kappel, Hargreaves,
 Bristow and Campbell, and Mahmood-Hubbard), and model calibration based on
 ground-truth data, and (3) model auto-calibration. The FAO Penmann-Monteith
 equation to calculate evapotranspiration is also included.

Package: r-cran-sire
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-systemfit, r-cran-psych, r-cran-igraph, r-cran-matrixcalc, r-cran-mass, r-cran-numderiv, r-cran-matrix, r-cran-stringr, r-cran-rsolnp, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-sire_1.1.0-1.ca2004.1_all.deb
Size: 52824
MD5sum: c3bd492654c6e0efa5edd582ea837033
SHA1: 0c6bf21e4b3cd75e638b9c520ec8b47a01e399b4
SHA256: faa9278cf46ac8d974d2ced374e0b9eea0a7dea38f30a1970a1a21b7c40ede2b
SHA512: 1fc035a2c34c5f01dc93c3114932946dba2a7df8145e0ac62497918597ddb32d0625dedc1aa3c3edf2887ba3ca56544e61bddf4f18ba5d1393e3252fd53a567d
Homepage: https://cran.r-project.org/package=SIRE
Description: CRAN Package 'SIRE' (Finding Feedback Effects in SEM and Testing for TheirSignificance)
 Provides two main functionalities.  1 - Given a system of simultaneous
 equation, it decomposes the matrix of coefficients weighting the endogenous
 variables into three submatrices: one includes the subset of coefficients
 that have a causal nature in the model, two include the subset of
 coefficients that have a interdependent nature in the model, either at
 systematic level or induced by the correlation between error terms.  2 -
 Given a decomposed model, it tests for the significance of the
 interdependent relationships acting in the system, via Maximum likelihood
 and Wald test, which can be built starting from the function output.  For
 theoretical reference see Faliva (1992) <doi:10.1007/BF02589085> and Faliva
 and Zoia (1994) <doi:10.1007/BF02589041>.

Package: r-cran-siren
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-psych, r-cran-efa.mrfa, r-cran-lavaan
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-siren_1.0.6-1.ca2004.1_all.deb
Size: 62800
MD5sum: 5415c4f586ca791d51f6f985c7108b0e
SHA1: 9ed4faa3245eb7976683f4b894ad4fd6b89b1d9f
SHA256: 30d576de6dd0f8182fe4c96a2ee294ca434b1612e75c3667e68c9c4300a034a2
SHA512: 7221b78f79f1b2938b51da9aa53a610e2a21dadda4e4cab04a17bc825905bf8d89558ed9f5f161ef44b2ae86c94aec4225ccdc079f4da39ae2eb84f0cb103f5b
Homepage: https://cran.r-project.org/package=siren
Description: CRAN Package 'siren' (Hybrid FA-CFA for Controlling Acquiescence in RestrictedFactorial Solutions)
 Performs hybrid multi-stage factor analytic procedure for controlling
 acquiescence in restricted solutions (Ferrando & Lorenzo-Seva, 2000
 <https://www.uv.es/revispsi/articulos3.00/ferran7.pdf>).

Package: r-cran-sirthresholded
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1031
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-strucchange
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sirthresholded_1.0.2-1.ca2004.1_all.deb
Size: 658752
MD5sum: ba1aa6e2c616079e839e493007bff858
SHA1: 65f406716a6e4911ca489508e3075cb6cdea54c7
SHA256: b088cb11c48949c94ff3e281f46738279bfdbc4823b6f710e8d667c987356aca
SHA512: 253b1c40db8342e1bdfde11fdb52b5a4c2b739a263bef3cec201e5f7eb6d67df53b69d8c7523ef86ce2336d7397054e9b01237569380fa7741ee5cfefc5846f2
Homepage: https://cran.r-project.org/package=SIRthresholded
Description: CRAN Package 'SIRthresholded' (Sliced Inverse Regression with Thresholding)
 Implements a thresholded version of the Sliced Inverse Regression method
 (Li, K. C. (1991) <doi:10.2307/2290563>), which allows to do variable
 selection.

Package: r-cran-sis
Architecture: all
Version: 0.8-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2579
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-ncvreg, r-cran-survival
Filename: pool/dists/focal/main/r-cran-sis_0.8-8-1.ca2004.1_all.deb
Size: 2606828
MD5sum: 73383da12b871e004998be90abe8e2f3
SHA1: f16482eefe576f952eef5437830378aa4011dfc6
SHA256: a97e5b432499a27948db4ed757672157aeaa3191d02f75666b31c10459de1b99
SHA512: 588ba115b669949b96c5cb9cecd431292b2ebab8fbe230a5bdf4bf33a8370daaf447f4fa1db586ead7e1a5b96fcf657cf69abc3dc9b5da9de1d7cfdc62bc7eff
Homepage: https://cran.r-project.org/package=SIS
Description: CRAN Package 'SIS' (Sure Independence Screening)
 Variable selection techniques are essential tools for model selection and
 estimation in high-dimensional statistical models. Through this publicly
 available package, we provide a unified environment to carry out variable
 selection using iterative sure independence screening (SIS) (Fan and Lv
 (2008)<doi:10.1111/j.1467-9868.2008.00674.x>) and all of its variants in
 generalized linear models (Fan and Song (2009)<doi:10.1214/10-AOS798>) and
 the Cox proportional hazards model (Fan, Feng and Wu
 (2010)<doi:10.1214/10-IMSCOLL606>).

Package: r-cran-sisal
Architecture: all
Version: 0.49-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-lattice, r-cran-mgcv, r-cran-digest, r-cran-r.matlab, r-cran-r.methodss3
Suggests: r-bioc-graph, r-bioc-rgraphviz, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sisal_0.49-1.ca2004.1_all.deb
Size: 639152
MD5sum: a1694d4ea34e485b8e653f9abf08e63f
SHA1: 97eca7c32a3684d866cd1be8e55bf7c6327b5d45
SHA256: 087b2e16c15cda2638e6a0598e3626d6eeef49c1e4125879e937f8874698d8fe
SHA512: 1cdae575b6d14d314131d0e8c057e09013de338a1168eaa4397a907c0501f2e250b322e0c2f651549b1d475c404a982bc10764d862c996e8650fd92ea2b4baaf
Homepage: https://cran.r-project.org/package=sisal
Description: CRAN Package 'sisal' (Sequential Input Selection Algorithm)
 Implements the SISAL algorithm by Tikka and Hollmén. It is a sequential
 backward selection algorithm which uses a linear model in a cross-validation
 setting. Starting from the full model, one variable at a time is removed
 based on the regression coefficients. From this set of models, a
 parsimonious (sparse) model is found by choosing the model with the smallest
 number of variables among those models where the validation error is smaller
 than a threshold. Also implements extensions which explore larger parts of
 the search space and/or use ridge regression instead of ordinary least
 squares.

Package: r-cran-sisir
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-matrix, r-cran-expm, r-cran-rspectra, r-cran-glmnet, r-cran-boruta, r-cran-corelearn, r-cran-dplyr, r-bioc-mixomics, r-cran-purrr, r-cran-ranger, r-cran-tidyr, r-cran-tidyselect, r-cran-adjclust, r-cran-magrittr, r-cran-rlang, r-cran-ggplot2, r-cran-aricode, r-cran-dendextend, r-cran-reshape2, r-cran-rcolorbrewer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sisir_0.2.3-1.ca2004.1_all.deb
Size: 165300
MD5sum: 4d827ca45b0b7054471ffcc0c0d7de88
SHA1: c4f496c08f0768c7f31842a477865775af5a0680
SHA256: ec5a80739ebb9373d6f1f6f3d77d62a95d3486d3eb386b9cb13c804c53186351
SHA512: aefd092b8ba61e5c21fe378a96db79a1e4830696dbc898e5a21746179877c8e72e48c288ced0ede7810d4fec144cb1592b635ac68fe17197ef2faf00ab0a1012
Homepage: https://cran.r-project.org/package=SISIR
Description: CRAN Package 'SISIR' (Select Intervals Suited for Functional Regression)
 Interval fusion and selection procedures for regression with functional
 inputs. Methods include a semiparametric approach based on Sliced Inverse
 Regression (SIR), as described in <doi:10.1007/s11222-018-9806-6> (standard
 ridge and sparse SIR are also included in the package) and a random forest
 based approach, as described in <doi:10.1002/sam.11705>.

Package: r-cran-sistec
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-openxlsx, r-cran-rlang, r-cran-shiny, r-cran-stringi, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sistec_0.2.0-1.ca2004.1_all.deb
Size: 355440
MD5sum: e3e84b8a140d3a88f7fcac964973ef0e
SHA1: 6de3f0c75b5cded43620570166721d6f3151fdb3
SHA256: fdb65fe5c6770c9ad8ee1c9f70593b8c265bef8de908b193b851bf2339ade437
SHA512: 68304fd7f346eff4b75a9dcb54bcae6bd25d7c5bc09e537bb9dbf3253f11507685abcfd793b4bb462eb9df5a0b10f458280a1af20b41fd87cfe4987473971675
Homepage: https://cran.r-project.org/package=sistec
Description: CRAN Package 'sistec' (Tools to Analyze 'Sistec' Datasets)
 The Brazilian system for diploma registration and validation on technical
 and superior courses are managing by 'Sistec' platform, see
 <https://sistec.mec.gov.br/>. This package provides tools for Brazilian
 institutions to update the student's registration and make data analysis
 about their situation, retention and drop out.

Package: r-cran-sisti
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4786
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-sisti_0.0.1-1.ca2004.1_all.deb
Size: 2988804
MD5sum: b5455a4382bb99d33716cf141dbc826b
SHA1: bb58640a4f6f7e83be0b9e12cd62f17a47d9b177
SHA256: 6c6a868e95e6a116d6f41d2fad9de7b602869edcffd1c8d524fccf64128c010d
SHA512: c25546860244a615caafbd86fa65b72e031f9b6c2a325b043aa84d71f9c33a7f4231570423bfd9316e16c97506aad516869c343acbd5308589c96788e6d93745
Homepage: https://cran.r-project.org/package=sisti
Description: CRAN Package 'sisti' (Real-Time PCR Data Sets by Sisti et al. (2010))
 This data package contains four datasets of quantitative PCR (qPCR)
 amplification curves that were used as supplementary data in the research
 article by Sisti et al. (2010), <doi:10.1186/1471-2105-11-186>.  The primary
 dataset comprises a ten-fold dilution series spanning copy numbers from 3.14
 × 10^7 to 3.14 × 10^2, with twelve replicates per concentration. These
 samples are based on a pGEM-T Promega plasmid containing a 104 bp fragment
 of the mitochondrial gene NADH dehydrogenase 1 (MT-ND1), amplified using the
 ND1/ND2 primer pair. The remaining three datasets contain qPCR results in
 the presence of specific PCR inhibitors: tannic acid, immunoglobulin G
 (IgG), and quercetin, respectively, to assess their effects on the
 amplification process. These datasets are useful for researchers interested
 in PCR kinetics. The original raw data file is available as Additional File
 1:
 <https://static-content.springer.com/esm/art%3A10.1186%2F1471-2105-11-186/MediaObjects/12859_2009_3643_MOESM1_ESM.XLS>.

Package: r-cran-sistmr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-blandaltmanleh, r-cran-dplyr, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-scales
Filename: pool/dists/focal/main/r-cran-sistmr_0.1.1-1.ca2004.1_all.deb
Size: 35372
MD5sum: 57b23a9400ba649592aea4cb2444ffed
SHA1: 44cb0dc103303b57119e451827920e0644be9263
SHA256: 77361e3ef3250a71955976c70eef32640e7c76a5baf89682fd0287150053f65c
SHA512: 3c75b2994340fe9012cf3159c6e81be9282aec229f32a775e763cf71e1bab8a797ffb5402a64a440c769811eaad55b5a25d2f8bff12efe269554476cb2d67bac
Homepage: https://cran.r-project.org/package=sistmr
Description: CRAN Package 'sistmr' (A Collection of Utility Function from the Inserm/Inria SISTMTeam)
 Functions common to members of the SISTM team.

Package: r-cran-sisvive
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lars
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-sisvive_1.4-1.ca2004.1_all.deb
Size: 32604
MD5sum: f0cad2d7b1de148005f2a84ce70ed19b
SHA1: 772b39b413a151e3afa4f3f3227bb1ff48fdd5a3
SHA256: 993bc21ba306c772e3b4d4ab80b0ca8407730424e46e44229c58e5bd536a5598
SHA512: 1fc60dd7e835f4ec975fcd62829eca45419e61a088e807876fcb4aa06d907660b75462c24c51dbdb1da334298aec55bf01203e5c55b77c4d5bf18ec41b84c27f
Homepage: https://cran.r-project.org/package=sisVIVE
Description: CRAN Package 'sisVIVE' (Some Invalid Some Valid Instrumental Variables Estimator)
 Selects invalid instruments amongst a candidate of potentially bad
 instruments. The algorithm selects potentially invalid instruments and
 provides an estimate of the causal effect between exposure and outcome.

Package: r-cran-sitar
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 965
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sitar_1.4.0-1.ca2004.1_all.deb
Size: 769980
MD5sum: e7edfab1a1b4a680c564782fdfc4dfb7
SHA1: 2f154fdb636107e15a7cb687f4c2f044def1429b
SHA256: c5fe6177e514ec352780d85df9f11b2e81560a4b16cc0fe8c07a87955f77505e
SHA512: a02e9600363d0fb367f3634a4e924ed3cf5a68efd6e9fc771a48d6975f37fa8df0b713369a46a3c5a7bbaf0b4ce61c25ad00abd6278d59644077e9c369e1d8f5
Homepage: https://cran.r-project.org/package=sitar
Description: CRAN Package 'sitar' (Super Imposition by Translation and Rotation Growth CurveAnalysis)
 Functions for fitting and plotting SITAR (Super Imposition by Translation
 And Rotation) growth curve models. SITAR is a shape-invariant model with a
 regression B-spline mean curve and subject-specific random effects on both
 the measurement and age scales.  The model was first described by Lindstrom
 (1995) <doi:10.1002/sim.4780141807> and developed as the SITAR method by
 Cole et al (2010) <doi:10.1093/ije/dyq115>.

Package: r-cran-siteadapt
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 626
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmulti, r-cran-solar, r-cran-hyfo, r-cran-hydrogof, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-ggpubr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-siteadapt_1.1.0-1.ca2004.1_all.deb
Size: 594612
MD5sum: 7f91c8b88c82504dc2f589c69c2ec386
SHA1: b91203a4430a529e59d361d809bf8e138fa598d7
SHA256: a7fecc085d595d71dc71ac37645aea6f1dab61cbd116eb26ceb3ac4e3bf9e0b8
SHA512: 7471297c9c48ca9f5001ae0e788e0a5196132ebd3744ffd3e534285350ca91f6a1d9fb0314e6efa0ac09a923a785f89537f266a844f7f7752f69a07b80ca8bea
Homepage: https://cran.r-project.org/package=SiteAdapt
Description: CRAN Package 'SiteAdapt' (Site Adaptation of Solar Irradiance Modeled Series)
 The SiteAdapt procedure improves the accuracy of modeled solar irradiance
 series through site-adaptation with coincident ground-based measurements
 relying on the use of a regression preprocessing followed by an empirical
 quantile mapping (eQM) correction.  Fernandez-Peruchena et al (2020)
 <doi:10.3390/rs12132127>.

Package: r-cran-sitepickr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matchit, r-cran-sampling, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-data.table, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-cran-tidyselect, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-sitepickr_0.0.1-1.ca2004.1_all.deb
Size: 414764
MD5sum: 5aa92ed3b585bc95a08850ab81b6b809
SHA1: dc58533c3642984350e88b2931a3cc2b063ad0ba
SHA256: 23247be30a73fc945877aa8cc338742b8801921fc54393d1daa391e61ebc76e6
SHA512: 77962ba95e80694b99e0fe34d65f4bed5d9ef3c05d196a7ef45ed6d0d1f3ecbfb4ed1388f4ea44f8d7d165b4d149b472c9bc05d084908718130f0c002f04b366
Homepage: https://cran.r-project.org/package=sitepickR
Description: CRAN Package 'sitepickR' (Two-Level Sample Selection with Optimal Site Replacement)
 Carries out a two-level sample selection where the possibility of an
 initially selected site not wanting to participate is anticipated, and the
 site is optimally replaced. The procedure aims to reduce bias (and/or loss
 of external validity) with respect to the target population. In selecting
 units and sub-units, 'sitepickR' uses the cube method developed by 'Deville
 & Tillé', (2004)
 <http://www.math.helsinki.fi/msm/banocoss/Deville_Tille_2004.pdf> and
 described in Tillé (2011)
 <https://www150.statcan.gc.ca/n1/en/pub/12-001-x/2011002/article/11609-eng.pdf?st=5-sx8Q8n>.
 The cube method is a probability sampling method that is designed to satisfy
 criteria for balance between the sample and the population. Recent research
 has shown that this method performs well in simulations for studies of
 educational programs (see Fay & Olsen (2021, under review). To implement the
 cube method, 'sitepickR' uses the sampling R package
 <https://cran.r-project.org/package=sampling>. To implement statistical
 matching, 'sitepickR' uses the 'MatchIt' R package
 <https://cran.r-project.org/package=MatchIt>.

Package: r-cran-sitesinterest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-sitesinterest_1.0-1.ca2004.1_all.deb
Size: 575124
MD5sum: 716b015ab5a53ae9d7ba5f39b45dc47b
SHA1: b11bda38f99ed77b0a133eee57adc16ad3272c69
SHA256: 3ff6b1277ecf8bb3adb365b1335609b67783b52c564ea1e8d14fb39d68ed0418
SHA512: 4c6ae4e45aa3d96f2f3e228686d449749b9d478bb17bddbc3f8179b612af427547e58ea288dad1c891a2bbf16fa30ceaddfa121eb0ca2b221dfcf6abe650b0a3
Homepage: https://cran.r-project.org/package=SitesInterest
Description: CRAN Package 'SitesInterest' (Inferring an Animal's Sites of Interest from High ResolutionData)
 Within the area of movement ecology, it can be useful to identify an
 animal's sites of interest. These will be places that an animal uses a lot
 and so will spend a proportionately longer time there. The aim of this
 package is to identify both the position and size of these sites of interest
 from high resolution (sub-second) positional data.

Package: r-cran-siteymlgen
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 733
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ymlthis, r-cran-magrittr, r-cran-yaml, r-cran-stringr, r-cran-lubridate, r-cran-rmarkdown, r-cran-rlist, r-cran-purrr
Suggests: r-cran-knitr, r-cran-testthat, r-cran-spelling, r-cran-pkgdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-siteymlgen_1.0.0-1.ca2004.1_all.deb
Size: 276104
MD5sum: 9eb1351af397851753d240834032513a
SHA1: 494aff2d36acaae926e5e3206e57fa57d4866c94
SHA256: 7bb18ab58ba85541440e2bbdf0e26dbd9034c293d5c965cfb82b761c846525d7
SHA512: 28b334364edafe654dbf6c0b4539c20980360fc6c395b89e3c52b389c27a3734427bc79813e9d231a99f194e17ececcaa8b0a9b0096682b51502f51c964c7900
Homepage: https://cran.r-project.org/package=siteymlgen
Description: CRAN Package 'siteymlgen' (Automatically Generate _site.yml File for 'R Markdown')
 The goal of 'siteymlgen' is to make it easy to organise the building of your
 'R Markdown' website.  The init() function placed within the first code
 chunk of the index.Rmd file of an 'R' project directory will initiate the
 generation of an automatically written _site.yml file. 'siteymlgen'
 recommends a specific naming convention for your 'R Markdown' files. This
 naming will ensure that your navbar layout is ordered according to a
 hierarchy.

Package: r-cran-sitools
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sitools_1.4-1.ca2004.1_all.deb
Size: 16160
MD5sum: 01937487901bd0f1cd1bf3f9c3e58cf4
SHA1: 7b273858d2ff6deea46385573b32821272b8d343
SHA256: a8a2a84f6295f1d7d334110547fa6de8bbf5a118a76b1b47462f9e20f01a3d3a
SHA512: 8952a6b2150601c6065963e0dfe2da022358a09603ac2cc2b2f8120e78aa6439f98fdfcc237a66af35c4a0dd61c153dda8f23178c608c2808813576bb297c7bd
Homepage: https://cran.r-project.org/package=sitools
Description: CRAN Package 'sitools' (Format a number to a string with SI prefix)
 Format a number (or a list of numbers) to a string (or a list of strings)
 with SI prefix. Use SI prefixes as constants like (4 * milli)^2

Package: r-cran-sitree
Architecture: all
Version: 0.1-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2410
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-data.table
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sitree_0.1-15-1.ca2004.1_all.deb
Size: 1081720
MD5sum: 6cac78d5ab4ac75315c66f5d01ba47de
SHA1: 3875b00ca69bbb24b7ad08164541a7aeb0f34718
SHA256: 57d0fa55941608496ec9e549404c6b0dcfd84388e0eb27ca4cdd22baf0a5e9de
SHA512: f1b1f324287c82cda3d35e97c24c9ee793581bcb6f92bf1cd64457fbfb208718a6bc8491569a9d6668439bce7632e14b84364f036d07bbfa7d89183d12be6d0f
Homepage: https://cran.r-project.org/package=sitree
Description: CRAN Package 'sitree' (Single Tree Simulator)
 Framework to build an individual tree simulator.

Package: r-cran-sitreee
Architecture: all
Version: 0.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-sitree
Filename: pool/dists/focal/main/r-cran-sitreee_0.0-9-1.ca2004.1_all.deb
Size: 70664
MD5sum: 2dc493babaaae0a841abe6cbe8239591
SHA1: 3cf83fa454e87886fbcc5a0f7bf892c8239570fd
SHA256: 819ea146522647e498c74d095b98a087f377cd5008bcc8b0fc10c6450bdd93e5
SHA512: 94c8169116bc23999b6f4a9983461dd8e2b00be07fe8e817d9aecbb82841ec2c66d1f769242125de689170fd014f3e022904f311f4cff6e1b65f3e5b5a2376fe
Homepage: https://cran.r-project.org/package=sitreeE
Description: CRAN Package 'sitreeE' (Sitree Extensions)
 Provides extensions for package 'sitree' for allometric variables, growth,
 mortality, recruitment, management, tree removal and external modifiers
 functions.

Package: r-cran-sivirep
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1914
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-epitrix, r-cran-ggplot2, r-cran-httr2, r-cran-kableextra, r-cran-readxl, r-cran-rlang, r-cran-sf, r-cran-showtext, r-cran-stringr, r-cran-sysfonts, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sivirep_1.0.1-1.ca2004.1_all.deb
Size: 1559260
MD5sum: 0519d45998af95513410b745332b68de
SHA1: 526821532f5939ef5f7531739f58bb5bc001c403
SHA256: 791867330208c9ae0bd544d27ffb8716b76ec8e94076af84942ba134183e5cc8
SHA512: f1fb4914e770aff73f099e662f574e8d356485a62af7683f9a79e1cf59e34ded710ed123731fdd51d9ef36acf0d953aa72d6c4041c0133d765914ae5a1229421
Homepage: https://cran.r-project.org/package=sivirep
Description: CRAN Package 'sivirep' (Data Wrangling and Automated Reports from 'SIVIGILA' Source)
 Data wrangling, pre-processing, and generating automated reports from
 Colombia's epidemiological surveillance system, 'SIVIGILA'
 <https://portalsivigila.ins.gov.co/>. It provides a customizable R Markdown
 template for analysis and automatic generation of epidemiological reports
 that can be adapted to local, regional, and national contexts. This tool
 offers a standardized and reproducible workflow that helps to reduce manual
 labor and potential errors in report generation, improving their efficiency
 and consistency.

Package: r-cran-sivs
Architecture: all
Version: 0.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-glmnet, r-cran-proc, r-cran-varhandle
Suggests: r-cran-markdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sivs_0.2.11-1.ca2004.1_all.deb
Size: 203060
MD5sum: abd864c63193da8bfc2354db8bf3b021
SHA1: 1fc7588d79cab7cba34c3bbd6a3fbd785376e85a
SHA256: 01bf8e2381ad40215b86ae5f589da97eab9ef5511af729cc88387c8c272914fc
SHA512: 8cb41962286f197eb261597a4d9dff6745a06603dd7c57afcf168a3423719eb5f117212bec192bff9256ede12006a83b6b4555361c88eb1f70cb7e5c741667ec
Homepage: https://cran.r-project.org/package=sivs
Description: CRAN Package 'sivs' (Stable Iterative Variable Selection)
 An iterative feature selection method that internally utilizes various
 Machine Learning methods that have embedded feature reduction in order to
 shrink down the feature space into a small and yet robust set.

Package: r-cran-sixsigma
Architecture: all
Version: 0.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 663
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-reshape2, r-cran-nortest, r-cran-e1071, r-cran-scales, r-cran-testthat, r-cran-xtable
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-sixsigma_0.11.1-1.ca2004.1_all.deb
Size: 602720
MD5sum: b14e8b44e88b99bf6dcf92ac4576081e
SHA1: 9d512342c43d7a01110fba8149962f0f5d48f218
SHA256: c0c76f42927c7c64695033301b4cdbb8fbf52b4938472b9a479915ce9b4f1d63
SHA512: c634557a943c944a3e6103082fdb862fff3e7b3e82abff20dde0c85c6cc40cf79e4aa0a0862497b2ad3e673c0ccc3ad8e6b1e2e5e6546af9ab3b3b7f7d5a8b45
Homepage: https://cran.r-project.org/package=SixSigma
Description: CRAN Package 'SixSigma' (Six Sigma Tools for Quality Control and Improvement)
 Functions and utilities to perform Statistical Analyses in the Six Sigma
 way.  Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
 you can manage several Quality Management studies: Gage R&R, Capability
 Analysis, Control Charts, Loss Function Analysis, etc. Data frames used in
 the books "Six Sigma with R" [ISBN 978-1-4614-3652-2] and "Quality Control
 with R" [ISBN 978-3-319-24046-6], are also included in the package.

Package: r-cran-sixtyfour
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1004
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-paws, r-cran-paws.common, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-fs, r-cran-s3fs, r-cran-cli, r-cran-glue, r-cran-memoise, r-cran-uuid, r-cran-jsonlite, r-cran-curl, r-cran-tidyr, r-cran-clipr, r-cran-withr, r-cran-ipaddress
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-dbi, r-cran-rpostgres, r-cran-rmariadb, r-cran-ggplot2, r-cran-lubridate, r-cran-testthat, r-cran-vcr, r-cran-webmockr
Filename: pool/dists/focal/main/r-cran-sixtyfour_0.2.0-1.ca2004.1_all.deb
Size: 679980
MD5sum: 691f2112bd004d0144a2a7fd8c8d647f
SHA1: e353a7fdd17562478b881c5cf976751f44b55476
SHA256: 38379ba4c34c3b1cd899bbfae035cd37cf30ced6b324ed40cdc5fb72221f78df
SHA512: 337414c60fee2b34e049cd4314f3d75706d762d3482ed938064a28fe687e7b0fbdeda2273f478801c2522416c6728de7b63126c58dd6e43eefa0bb52fc3c0857
Homepage: https://cran.r-project.org/package=sixtyfour
Description: CRAN Package 'sixtyfour' (Humane Interface to Amazon Web Services)
 An opinionated interface to Amazon Web Services <https://aws.amazon.com>,
 with functions for interacting with 'IAM' (Identity and Access Management),
 'S3' (Simple Storage Service), 'RDS' (Relational Data Service), Redshift,
 and Billing.  Lower level functions ('aws_' prefix) are for do it yourself
 workflows, while higher level functions ('six_' prefix) automate common
 tasks.

Package: r-cran-sizeestimation
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-msm
Filename: pool/dists/focal/main/r-cran-sizeestimation_1.1.1-1.ca2004.1_all.deb
Size: 37796
MD5sum: d4a3d3d67bfa02bfdc5ce1e38314c426
SHA1: 66eb3ea41b80f205921e96a668d402f6d84dac92
SHA256: 0c1882d304ce317349c4666efa133aaffe45959129936f44d7752e27a892eb1c
SHA512: 6f695eb928e5e0bb8e2eaf31119edca4478839b9985f8e4c266ce73f43b7ec3497122da4c1712faa9ba91caeb9f67b9eee832491ac6c05b237f0046abcbe1790
Homepage: https://cran.r-project.org/package=SizeEstimation
Description: CRAN Package 'SizeEstimation' (Estimating the Sizes of Populations at Risk of HIV Infectionfrom Multiple Data Sources Using a Bayesian Hierarchical Model)
 This function develops an algorithm for presenting a Bayesian hierarchical
 model for estimating the sizes of local and national drug injected
 populations in Bangladesh. The model incorporates multiple commonly used
 data sources including mapping data, surveys, interventions,
 capture-recapture data, estimates or guesstimates from organizations, and
 expert opinion.

Package: r-cran-sizemat
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack, r-cran-matrixstats, r-cran-mass
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sizemat_1.1.2-1.ca2004.1_all.deb
Size: 530912
MD5sum: 99bb12e2417fbf22e0de6fb0cc5b7ade
SHA1: 7bf003dd32d4eb9f70469837c95a38bdb5e984ca
SHA256: 7ea41de66e956f0427f418d0eac6c53b561e3cadbb51feb383a8b07d6cb50380
SHA512: 6fec8d39dbb9dcd3cb8e448bf3e7d982c44870d7d74496d82d3cf07a45453cb560de29fbafdc96f0d12493da2ec2d15830d93172d4c26eb07d358237f689bd9e
Homepage: https://cran.r-project.org/package=sizeMat
Description: CRAN Package 'sizeMat' (Estimate Size at Sexual Maturity)
 Estimate morphometric and gonadal size at sexual maturity for organisms,
 usually fish and invertebrates. It includes methods for classification based
 on relative growth (using principal components analysis, hierarchical
 clustering, discriminant analysis), logistic regression (Frequentist or
 Bayes), parameters estimation and some basic plots.

Package: r-cran-sizer
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-sizer_0.1-8-1.ca2004.1_all.deb
Size: 80912
MD5sum: dd373c26c0e2514490eb031b25c1f88a
SHA1: 5ffaee2092f1eefcb8f5f423c1b3704dde1894e9
SHA256: 9ddff4c66252f076b78caf0e12cedc7827143ef7b0339e18fe6f86a5ee76fc43
SHA512: 04d041c0c50dbb03fc57552166566a187f119b63e312bde7c19aa2906cde7e0f33dd6ccaa1e60e70271d6e598c018172e84c46bf67a9d3d277025e3ab490622f
Homepage: https://cran.r-project.org/package=SiZer
Description: CRAN Package 'SiZer' (Significant Zero Crossings)
 Calculates and plots the SiZer map for scatterplot data.  A SiZer map is a
 way of examining when the p-th derivative of a scatterplot-smoother is
 significantly negative, possibly zero or significantly positive across a
 range of smoothing bandwidths.

Package: r-cran-sjdbc
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-sjdbc_1.6.1-1.ca2004.1_all.deb
Size: 63452
MD5sum: f139aa8374b1b38b419c2b382f8ac5f2
SHA1: f1b4d4bc4f674f98d3dae0c8056c95c0c4eca1b4
SHA256: 75f4c7899d797e6edd026f42f2f15687f699d4931dcbe124f10e0270fab71fb7
SHA512: b39ccc82290646aae5abf1e5a02c32c3ca680577ceb77b6a62f6287f41d35674cd0c9183fb05e19194ff975abb6df3e5dd8651174acc68d47c679f10bd4d99d5
Homepage: https://cran.r-project.org/package=sjdbc
Description: CRAN Package 'sjdbc' (JDBC Driver Interface)
 Provides a database-independent JDBC interface.

Package: r-cran-sjlabelled
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-insight, r-cran-datawizard
Suggests: r-cran-dplyr, r-cran-haven, r-cran-magrittr, r-cran-sjmisc, r-cran-sjplot, r-cran-knitr, r-cran-rlang, r-cran-rmarkdown, r-cran-snakecase, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sjlabelled_1.2.0-1.ca2004.1_all.deb
Size: 290468
MD5sum: 7c4828d1b810fc50f5a553bc5e00dd8e
SHA1: df477cf61e6318be9a6653d67257db75fae7dbf3
SHA256: 0b0ff85a00a132ff3b2df176cdd36e809acedd9ce57e3ab7d078ef81e380a3dd
SHA512: 2ba0f3f95e1dbd682c032b5694648114e1566a7824ab6e517d424538910a00476a02bdd056f1d388ac9201bec430540f78b60714406a95633c729cef6fe72e45
Homepage: https://cran.r-project.org/package=sjlabelled
Description: CRAN Package 'sjlabelled' (Labelled Data Utility Functions)
 Collection of functions dealing with labelled data, like reading and writing
 data between R and other statistical software packages like 'SPSS', 'SAS' or
 'Stata', and working with labelled data. This includes easy ways to get, set
 or change value and variable label attributes, to convert labelled vectors
 into factors or numeric (and vice versa), or to deal with multiple declared
 missing values.

Package: r-cran-sjmisc
Architecture: all
Version: 2.8.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 740
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-insight, r-cran-datawizard, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-sjlabelled, r-cran-tidyselect
Suggests: r-cran-ggplot2, r-cran-haven, r-cran-mice, r-cran-nnet, r-cran-sjplot, r-cran-sjstats, r-cran-knitr, r-cran-rmarkdown, r-cran-stringdist, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-sjmisc_2.8.10-1.ca2004.1_all.deb
Size: 509532
MD5sum: a4ce93f02884e4bc43130d0d03ea8b12
SHA1: c523fbd924361b165fb344a420dca33219b5d2b1
SHA256: f93ba8f11f2c1f0c06ddfe1848b6eaa0815fb5807ab61b7a29c1cc128cc160c0
SHA512: 332e0e14676f86167abb515101845b40588f1bdb683322f5c51afb57b431090534a0059758f2df4a77a5619ae1fbd4bf2349bd89589152267cc56da16bc2cda3
Homepage: https://cran.r-project.org/package=sjmisc
Description: CRAN Package 'sjmisc' (Data and Variable Transformation Functions)
 Collection of miscellaneous utility functions, supporting data
 transformation tasks like recoding, dichotomizing or grouping variables,
 setting and replacing missing values. The data transformation functions also
 support labelled data, and all integrate seamlessly into a
 'tidyverse'-workflow.

Package: r-cran-sjplot
Architecture: all
Version: 2.8.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2460
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-datawizard, r-cran-dplyr, r-cran-ggeffects, r-cran-ggplot2, r-cran-knitr, r-cran-insight, r-cran-mass, r-cran-parameters, r-cran-performance, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-sjlabelled, r-cran-sjmisc, r-cran-sjstats, r-cran-tidyr
Suggests: r-cran-brms, r-cran-car, r-cran-clubsandwich, r-cran-cluster, r-cran-cowplot, r-cran-effects, r-cran-haven, r-cran-gparotation, r-cran-ggrepel, r-cran-glmmtmb, r-cran-gridextra, r-cran-ggridges, r-cran-httr, r-cran-lme4, r-cran-nfactors, r-cran-pscl, r-cran-psych, r-cran-rmarkdown, r-cran-rstanarm, r-cran-sandwich, r-cran-survey, r-cran-tmb, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sjplot_2.8.17-1.ca2004.1_all.deb
Size: 1402840
MD5sum: 437ce21d6c9db3d1d6f84ecb818ef1c0
SHA1: a1ac85061faf5be7d5412d9bd55bb1486ee63deb
SHA256: 5047c3664ba5eb10c8654b6828d180843893ea8c844dca022176e6c0afecabe4
SHA512: 2551a09f2094e5df4f14eef42b039a2e7b3c9c97b547935ca6cfdc55d217061aca2feb103762f2a2329f21443bc71e7da969ed35656cfa0d8884b8fc705e9c48
Homepage: https://cran.r-project.org/package=sjPlot
Description: CRAN Package 'sjPlot' (Data Visualization for Statistics in Social Science)
 Collection of plotting and table output functions for data visualization.
 Results of various statistical analyses (that are commonly used in social
 sciences) can be visualized using this package, including simple and cross
 tabulated frequencies, histograms, box plots, (generalized) linear models,
 mixed effects models, principal component analysis and correlation matrices,
 cluster analyses, scatter plots, stacked scales, effects plots of regression
 models (including interaction terms) and much more. This package supports
 labelled data.

Package: r-cran-sjsdm
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1815
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-mvtnorm, r-cran-rstudioapi, r-cran-abind, r-cran-metrics, r-cran-mgcv, r-cran-cli, r-cran-crayon, r-cran-ggplot2, r-cran-checkmate, r-cran-mathjaxr, r-cran-ggtern, r-cran-beeswarm, r-cran-qgam, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-iml, r-cran-fields
Filename: pool/dists/focal/main/r-cran-sjsdm_1.0.6-1.ca2004.1_all.deb
Size: 1066140
MD5sum: 35da5aba3f7d3994dd37fb4bbbf9918b
SHA1: 80b6918083602ebab386127abbeea705662d64cc
SHA256: 88e85d029fc519db1541bd7501a4ef40e70ce9024c90489860e3bf58c2757898
SHA512: a26ae27a11b0cfb3d307e027a197a2a020d4df3599cb5b3176892c623beea437fa3d7a2d8caf27a60ef22bca8520cee7be62f562cdb118d465eea673751b30f7
Homepage: https://cran.r-project.org/package=sjSDM
Description: CRAN Package 'sjSDM' (Scalable Joint Species Distribution Modeling)
 A scalable and fast method for estimating joint Species Distribution Models
 (jSDMs) for big community data, including eDNA data. The package estimates a
 full (i.e. non-latent) jSDM with different response distributions (including
 the traditional multivariate probit model). The package allows to perform
 variation partitioning (VP) / ANOVA on the fitted models to separate the
 contribution of environmental, spatial, and biotic associations. In
 addition, the total R-squared can be further partitioned per species and
 site to reveal the internal metacommunity structure, see Leibold et al.,
 <doi:10.1111/oik.08618>. The internal structure can then be regressed
 against environmental and spatial distinctiveness, richness, and traits to
 analyze metacommunity assembly processes.  The package includes support for
 accounting for spatial autocorrelation and the option to fit responses using
 deep neural networks instead of a standard linear predictor. As described in
 Pichler & Hartig (2021) <doi:10.1111/2041-210X.13687>, scalability is
 achieved by using a Monte Carlo approximation of the joint likelihood
 implemented via 'PyTorch' and 'reticulate', which can be run on CPUs or
 GPUs.

Package: r-cran-sjstats
Architecture: all
Version: 0.19.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-datawizard, r-cran-effectsize, r-cran-insight, r-cran-parameters, r-cran-performance
Suggests: r-cran-brms, r-cran-car, r-cran-coin, r-cran-ggplot2, r-cran-lme4, r-cran-mass, r-cran-pscl, r-cran-pwr, r-cran-survey, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sjstats_0.19.1-1.ca2004.1_all.deb
Size: 371420
MD5sum: 5e938efac1d15ec3dd6d998844437e8d
SHA1: dc501493aa9782bfff1b10e660772a84474c8d2f
SHA256: 3acfe9348a3fd2ba26e87c7dd970d000a2c81cc0ada82e80c178bf81af33c0b6
SHA512: f4d748aba7af85be11242781d8671d5ea97f6e44eaa95b40d856075759333a0a184471b187342d59066b26da0936b591ffb1e9e6adca8a9dbbed170519d8753c
Homepage: https://cran.r-project.org/package=sjstats
Description: CRAN Package 'sjstats' (Collection of Convenient Functions for Common StatisticalComputations)
 Collection of convenient functions for common statistical computations,
 which are not directly provided by R's base or stats packages.  This package
 aims at providing, first, shortcuts for statistical measures, which
 otherwise could only be calculated with additional effort (like Cramer's V,
 Phi, or effect size statistics like Eta or Omega squared), or for which
 currently no functions available. Second, another focus lies on weighted
 variants of common statistical measures and tests like weighted standard
 error, mean, t-test, correlation, and more.

Package: r-cran-sjtable2df
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-kableextra, r-cran-magrittr, r-cran-rlang, r-cran-rvest, r-cran-xml2
Suggests: r-cran-lintr, r-cran-lme4, r-cran-mlbench, r-cran-quarto, r-cran-sjplot, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sjtable2df_0.0.4-1.ca2004.1_all.deb
Size: 38104
MD5sum: 639369f5ebcc72b9f7286cae399b80f4
SHA1: 604fc5b1d891f60f6b743503b6031faab393cdae
SHA256: 4ee387ca11f67af11f74b0316cafd10fcdea353b410b7dfdc51885b043e4cbf0
SHA512: 2e5d672cb4d308268f79dbc95c15d30572fa5be6701079a1ee880a0fbe4124577f70fd017053b9c2dbe90e8b3df3b778c7eea2cf18f1290f5b344e2fe121d1b0
Homepage: https://cran.r-project.org/package=sjtable2df
Description: CRAN Package 'sjtable2df' (Convert 'sjPlot' HTML-Tables to R 'data.frame')
 A small set of helper functions to convert 'sjPlot' HTML-tables to R
 data.frame objects / knitr::kable-tables.

Package: r-cran-sk
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 765
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgeos, r-cran-rcolorbrewer, r-cran-sp, r-cran-gd, r-cran-rtop, r-cran-fitar, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sk_1.1-1.ca2004.1_all.deb
Size: 704720
MD5sum: 4f369670ff691091c1aebcc84fbb4a51
SHA1: 6473b3633a6eda8a5c2cc9d4e9e2630965ca012e
SHA256: da3389fd80403fa507f29f2dee0e748c37c9c60bf2fdf69b3c83f0243b66acdc
SHA512: b79e9ed5e9511aeec864b618699952e2021cb8f5c2973328eff539f7d2b713fbffa3353cba786ad7572ac3844cda5d3257e41c8f6fe2940ae3d374edf937b5c7
Homepage: https://cran.r-project.org/package=SK
Description: CRAN Package 'SK' (Segment-Based Ordinary Kriging and Segment-Based RegressionKriging for Spatial Prediction)
 Segment-based Kriging methods, including segment-based ordinary Kriging
 (SOK) and segment-based regression Kriging (SRK) for spatial prediction of
 line segment spatial data as described in Yongze Song (2018)
 <doi:10.1109/TITS.2018.2805817>. Includes the spatial prediction and spatial
 visualisation. The descriptions of the methods and case datasets refer to
 the citation information below.

Package: r-cran-skater
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1128
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-purrr, r-cran-kinship2, r-cran-corrr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-markdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-skater_0.1.2-1.ca2004.1_all.deb
Size: 406492
MD5sum: 06d7ba19e35e8ae6fe80a0e3c8f9f24d
SHA1: 4024ed794284056ae28e0e10d914218bee7da912
SHA256: e666af3a2e17d8f4be642aefe71f5b631c8ba1b3a4320deff4ddf632247d7cda
SHA512: 9349c6d6499891c6a3d0f21099bf34132678ca175fd3c90766cc4263240976fb67598f609c73987a7a7d3d9c4fb21d4f9ce25063b1ca8b0c408ec5f9fac52725
Homepage: https://cran.r-project.org/package=skater
Description: CRAN Package 'skater' (Utilities for SNP-Based Kinship Analysis)
 Utilities for single nucleotide polymorphism (SNP) based kinship analysis
 testing and evaluation. The 'skater' package contains functions for
 importing, parsing, and analyzing pedigree data, performing relationship
 degree inference, benchmarking relationship degree classification, and
 summarizing identity by descent (IBD) segment data.  Package functions and
 methods are described in Turner et al. (2021) "skater: An R package for
 SNP-based Kinship Analysis, Testing, and Evaluation"
 <doi:10.1101/2021.07.21.453083>.

Package: r-cran-skedastic
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4179
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rdpack, r-cran-broom, r-cran-pracma, r-cran-compquadform, r-cran-mass, r-cran-quadprog, r-cran-inflection, r-cran-rfast, r-cran-caret, r-cran-matrix, r-cran-quadprogxt, r-cran-slam, r-cran-roi, r-cran-osqp, r-cran-mgcv, r-cran-roi.plugin.qpoases
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools, r-cran-lmtest, r-cran-car, r-cran-tseries, r-cran-tibble, r-cran-testthat, r-cran-mlbench, r-cran-expm, r-cran-arrangements, r-cran-quantreg, r-cran-gmp, r-cran-rmpfr, r-cran-cubature, r-cran-mvtnorm, r-cran-lmboot, r-cran-sandwich, r-cran-cmna
Filename: pool/dists/focal/main/r-cran-skedastic_2.0.3-1.ca2004.1_all.deb
Size: 4182552
MD5sum: 73ba96fbecf67cb714724a4d5d1b8cfe
SHA1: ac1e6fb25e86c0f30fce4e92a4050708c6f0226b
SHA256: 99c3bde10b1d177a242594a40f3e4aa1ece8752bfdc83cabcbad4a3f871716c3
SHA512: f971933c5bb9752ff90677f270ae08bbf5c6c9a4ede7ac81896c43718027572cd609389c60e561cd181590335121895bdbec00e4f1e35712358ed82b9c75b9a8
Homepage: https://cran.r-project.org/package=skedastic
Description: CRAN Package 'skedastic' (Handling Heteroskedasticity in the Linear Regression Model)
 Implements numerous methods for testing for, modelling, and correcting for
 heteroskedasticity in the classical linear regression model. The most novel
 contribution of the package is found in the functions that implement the
 as-yet-unpublished auxiliary linear variance models and auxiliary nonlinear
 variance models that are designed to estimate error variances in a
 heteroskedastic linear regression model. These models follow principles of
 statistical learning described in Hastie (2009)
 <doi:10.1007/978-0-387-21606-5>.  The nonlinear version of the model is
 estimated using quasi-likelihood methods as described in Seber and Wild
 (2003, ISBN: 0-471-47135-6).  Bootstrap methods for approximate confidence
 intervals for error variances are implemented as described in Efron and
 Tibshirani (1993, ISBN: 978-1-4899-4541-9), including also the expansion
 technique described in Hesterberg (2014)
 <doi:10.1080/00031305.2015.1089789>. The wild bootstrap employed here
 follows the description in Davidson and Flachaire (2008)
 <doi:10.1016/j.jeconom.2008.08.003>. Tuning of hyper-parameters makes use of
 a golden section search function that is modelled after the MATLAB function
 of Zarnowiec (2022)
 <https://www.mathworks.com/matlabcentral/fileexchange/25919-golden-section-method-algorithm>.
 A methodological description of the algorithm can be found in Fox (2021,
 ISBN: 978-1-003-00957-3).  There are 25 different functions that implement
 hypothesis tests for heteroskedasticity. These include a test based on
 Anscombe (1961) <https://projecteuclid.org/euclid.bsmsp/1200512155>,
 Ramsey's (1969) BAMSET Test <doi:10.1111/j.2517-6161.1969.tb00796.x>, the
 tests of Bickel (1978) <doi:10.1214/aos/1176344124>, Breusch and Pagan
 (1979) <doi:10.2307/1911963> with and without the modification proposed by
 Koenker (1981) <doi:10.1016/0304-4076(81)90062-2>, Carapeto and Holt (2003)
 <doi:10.1080/0266476022000018475>, Cook and Weisberg (1983)
 <doi:10.1093/biomet/70.1.1> (including their graphical methods), Diblasi and
 Bowman (1997) <doi:10.1016/S0167-7152(96)00115-0>, Dufour, Khalaf, Bernard,
 and Genest (2004) <doi:10.1016/j.jeconom.2003.10.024>, Evans and King (1985)
 <doi:10.1016/0304-4076(85)90085-5> and Evans and King (1988)
 <doi:10.1016/0304-4076(88)90006-1>, Glejser (1969)
 <doi:10.1080/01621459.1969.10500976> as formulated by Mittelhammer, Judge
 and Miller (2000, ISBN: 0-521-62394-4), Godfrey and Orme (1999)
 <doi:10.1080/07474939908800438>, Goldfeld and Quandt (1965)
 <doi:10.1080/01621459.1965.10480811>, Harrison and McCabe (1979)
 <doi:10.1080/01621459.1979.10482544>, Harvey (1976) <doi:10.2307/1913974>,
 Honda (1989) <doi:10.1111/j.2517-6161.1989.tb01749.x>, Horn (1981)
 <doi:10.1080/03610928108828074>, Li and Yao (2019)
 <doi:10.1016/j.ecosta.2018.01.001> with and without the modification of Bai,
 Pan, and Yin (2016) <doi:10.1007/s11749-017-0575-x>, Rackauskas and Zuokas
 (2007) <doi:10.1007/s10986-007-0018-6>, Simonoff and Tsai (1994)
 <doi:10.2307/2986026> with and without the modification of Ferrari,
 Cysneiros, and Cribari-Neto (2004) <doi:10.1016/S0378-3758(03)00210-6>,
 Szroeter (1978) <doi:10.2307/1913831>, Verbyla (1993)
 <doi:10.1111/j.2517-6161.1993.tb01918.x>, White (1980)
 <doi:10.2307/1912934>, Wilcox and Keselman (2006)
 <doi:10.1080/10629360500107923>, Yuce (2008)
 <https://dergipark.org.tr/en/pub/iuekois/issue/8989/112070>, and Zhou, Song,
 and Thompson (2015) <doi:10.1002/cjs.11252>. Besides these
 heteroskedasticity tests, there are supporting functions that compute the
 BLUS residuals of Theil (1965) <doi:10.1080/01621459.1965.10480851>, the
 conditional two-sided p-values of Kulinskaya (2008)
 <doi:10.48550/arXiv.0810.2124>, and probabilities for the nonparametric
 trend statistic of Lehmann (1975, ISBN: 0-816-24996-1). For handling
 heteroskedasticity, in addition to the new auxiliary variance model methods,
 there is a function to implement various existing
 Heteroskedasticity-Consistent Covariance Matrix Estimators from the
 literature, such as those of White (1980) <doi:10.2307/1912934>, MacKinnon
 and White (1985) <doi:10.1016/0304-4076(85)90158-7>, Cribari-Neto (2004)
 <doi:10.1016/S0167-9473(02)00366-3>, Cribari-Neto et al. (2007)
 <doi:10.1080/03610920601126589>, Cribari-Neto and da Silva (2011)
 <doi:10.1007/s10182-010-0141-2>, Aftab and Chang (2016)
 <doi:10.18187/pjsor.v12i2.983>, and Li et al. (2017)
 <doi:10.1080/00949655.2016.1198906>.

Package: r-cran-skeletalvis
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2250
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-cowplot, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggrepel, r-cran-httr, r-cran-igraph, r-cran-miniui, r-cran-pbapply, r-cran-plotly, r-cran-rlang, r-cran-shiny, r-cran-tidyr, r-cran-visnetwork
Suggests: r-cran-mockery, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-skeletalvis_0.1.1-1.ca2004.1_all.deb
Size: 1273760
MD5sum: 426377b1410dd698177dbc849fa4263c
SHA1: 823420f403ff63c028bf5a54759ebe17760cb7e4
SHA256: e470ca81ae9d410a953eb263007fc9f698e10597e5cf6b75ed1f9a7cba4d3ded
SHA512: 371170894f25d741eddea2d7e954cf2504d4ddafcf54e7327d961f52c47f18c7fb98121b9ea1e5fb54818bbdf008f9e9d18af45f8f1672974c4b9385458c805b
Homepage: https://cran.r-project.org/package=SkeletalVis
Description: CRAN Package 'SkeletalVis' (Exploration and Visualisation of Skeletal Transcriptomics Data)
 Allows search and visualisation of a collection of uniformly processed
 skeletal transcriptomic datasets. Includes methods to identify datasets
 where genes of interest are differentially expressed and find datasets with
 a similar gene expression pattern to a query dataset Soul J, Hardingham TE,
 Boot-Handford RP, Schwartz JM (2019) <doi:10.1093/bioinformatics/bty947>.

Package: r-cran-skeletor
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-skeletor_1.0.4-1.ca2004.1_all.deb
Size: 20968
MD5sum: b79e6368cf848f583dd7918fac4bb5cb
SHA1: 3c3a13dd1193a1e97109db2486d805f3c42014de
SHA256: 418f189ddfc4cbdf54759bef898c7a3df83c3bb0f9922f55cbefc6dc1cedc917
SHA512: e100481b6ac119b5b8361cbda66142fbb8a3b74a2ea81aa7f200bd6db1c51ec2c3a340ad5d2e70bec1da17e8316543ed12ec9631a1f8b4a8a7c9da30dcdc3781
Homepage: https://cran.r-project.org/package=skeletor
Description: CRAN Package 'skeletor' (An R Package Skeleton Generator)
 A tool for bootstrapping new packages with useful defaults, including a test
 suite outline that passes checks and helpers for running tests, checking
 test coverage, building vignettes, and more. Package skeletons it creates
 are set up for pushing your package to 'GitHub' and using other hosted
 services for building and test automation.

Package: r-cran-skellam
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-skellam_0.2.4-1.ca2004.1_all.deb
Size: 69472
MD5sum: 8fbd5055b6463e15e10b2615b38682a2
SHA1: ca78f32546601a408d384fd7e928d3af1b4ed527
SHA256: c080b2b00a2d89aa5527121d4ae35d0dbdb999f8f4f1c820e9b5bfa09112fc62
SHA512: 9f2cf9747ad1ced91d62445244a8c16386c84cfe38bf64bdf2d1f17bebf7d07ae55415446beb3c5fe003bf39a69414a2c5c4819c73ed09782d9fefdc31c2265a
Homepage: https://cran.r-project.org/package=skellam
Description: CRAN Package 'skellam' (Densities and Sampling for the Skellam Distribution)
 Functions for the Skellam distribution, including: density (pmf), cdf,
 quantiles and regression.

Package: r-cran-sketch
Architecture: all
Version: 1.1.20.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2697
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-purrr, r-cran-rstudioapi, r-cran-glue, r-cran-htmltools, r-cran-base64enc, r-cran-jsonlite, r-cran-shiny, r-cran-v8
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sketch_1.1.20.3-1.ca2004.1_all.deb
Size: 2000260
MD5sum: a8e811c0405e01c5fe11ca688112e3fe
SHA1: a580367a1a3de59b272f3a0b75a875cdb6d36e8b
SHA256: ab9494b88ad1916f63ece365a0cff6974df8da218a12246c04f5ba040559319f
SHA512: b5ddadfb126623f859e7349c3b444f0baf7caa213d80a3c3db34eaa8aeb599eef58a649564b4a8d80bba1fb0e2d8bd5c754e709885c1d58cb2db3b5dce54fd14
Homepage: https://cran.r-project.org/package=sketch
Description: CRAN Package 'sketch' (Interactive Sketches)
 Creates static / animated / interactive visualisations embeddable in R
 Markdown documents. It implements an R-to-JavaScript transpiler and enables
 users to write JavaScript applications using the syntax of R.

Package: r-cran-sketcher
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-png, r-cran-readbitmap, r-cran-downloader, r-cran-imager, r-cran-magrittr, r-cran-stringr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sketcher_0.1.3-1.ca2004.1_all.deb
Size: 1136080
MD5sum: b40ef5cf643b1657cf7b7b58d5c994df
SHA1: 3eb8206aab7f836f67f78ae796a19a12cdb5007e
SHA256: 4edc2eab65750d8c74cc051f10cff20a18f70e43e7fea629d976ca4142b666ba
SHA512: a45e4863118cea7aad756d682f9b098db506dab133a99cb1b245bf66e34908d28133346d0ee33bd3abd76ddc0b8f5b0d98b4dbbf84e6f74db8251fa016d106f4
Homepage: https://cran.r-project.org/package=sketcher
Description: CRAN Package 'sketcher' (Pencil Sketch Effect)
 An implementation of image processing effects that convert a photo into a
 line drawing image.  For details, please refer to Tsuda, H. (2020).
 sketcher: An R package for converting a photo into a sketch style image.
 <doi:10.31234/osf.io/svmw5>.

Package: r-cran-sketchy
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-stringi, r-cran-crayon, r-cran-packrat, r-cran-git2r, r-cran-xaringanextra, r-cran-rmarkdown, r-cran-remotes, r-cran-cli, r-cran-urlchecker, r-cran-stringr
Suggests: r-cran-testthat, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-sketchy_1.0.5-1.ca2004.1_all.deb
Size: 92292
MD5sum: a63095244d9ce40933c0cb5460f0367f
SHA1: c339669042c3a241f9ac02d4f0fafe21dd24a67c
SHA256: a29274b766e94d70cc90e4e8bfbe321776c3dbe10ee7004f175aef635d00d9cd
SHA512: 25108cca877b2cb13bd48e21a008ce8098c88501bc52b3e3e5b7d7fae43b3677b8f6a48ec45ac60795ead1a4970eedc81f5c62a77d3acd443cf0880dc4094f3a
Homepage: https://cran.r-project.org/package=sketchy
Description: CRAN Package 'sketchy' (Create Custom Research Compendiums)
 Provides functions to create and manage research compendiums for data
 analysis. Research compendiums are a standard and intuitive folder structure
 for organizing the digital materials of a research project, which can
 significantly improve reproducibility. The package offers several compendium
 structure options that fit different research project as well as the ability
 of duplicating the folder structure of existing projects or implementing
 custom structures. It also simplifies the use of version control.

Package: r-cran-skewhyperbolic
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-distributionutils, r-cran-generalizedhyperbolic
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-skewhyperbolic_0.4-2-1.ca2004.1_all.deb
Size: 169020
MD5sum: 5125c704c4f613becdf5e2c3f0c36d8e
SHA1: 85f533d74cbd572439763a6418ee2e4031a2bc72
SHA256: b2aebd6cee1a23362437ab105f2b7e1eca66ca2f146eee247ed15df94108375e
SHA512: 2c988e0921ce22d7192791d4fa40e4560db9f321f7f1d0bc9bab3b8119fabae3a4b9110cc52e2444130d2c871912886623a0863c03f859bb06e72762f2c9c237
Homepage: https://cran.r-project.org/package=SkewHyperbolic
Description: CRAN Package 'SkewHyperbolic' (The Skew Hyperbolic Student t-Distribution)
 Functions are provided for the density function, distribution function,
 quantiles and random number generation for the skew hyperbolic
 t-distribution. There are also functions that fit the distribution to data.
 There are functions for the mean, variance, skewness, kurtosis and mode of a
 given distribution and to calculate moments of any order about any centre.
 To assess goodness of fit, there are functions to generate a Q-Q plot, a P-P
 plot and a tail plot.

Package: r-cran-skewlmm
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-optimparallel, r-cran-dplyr, r-cran-ggplot2, r-cran-future, r-cran-ggrepel, r-cran-haven, r-cran-mvtnorm, r-cran-nlme, r-cran-purrr, r-cran-furrr, r-cran-matrixcalc, r-cran-moments, r-cran-numderiv, r-cran-relliptical, r-cran-momtrunc, r-cran-truncatednormal
Filename: pool/dists/focal/main/r-cran-skewlmm_1.1.2-1.ca2004.1_all.deb
Size: 1215936
MD5sum: 9760a2ba30fdab735314f3cd5abb3685
SHA1: 83333307dafa32ab7d7b9cf2d2d2355608767dcd
SHA256: 9cbefcd25992ff1d7e347351f9d00a3c3d4d776291679fde501f72e5d80d3508
SHA512: 29baaf01dceaebd1293f8e420f291ad27ef0271927c7f5b690dbe7a13aa91348b55b4b05b10b19085a917f80454745a68d461fa623df5e287da17db0711fb332
Homepage: https://cran.r-project.org/package=skewlmm
Description: CRAN Package 'skewlmm' (Scale Mixture of Skew-Normal Linear Mixed Models)
 It fits scale mixture of skew-normal linear mixed models using either an
 expectation–maximization (EM) type algorithm or its accelerated version
 (Damped Anderson Acceleration with Epsilon Monotonicity, DAAREM), including
 some possibilities for modeling the within-subject dependence. Details can
 be found in Schumacher, Lachos and Matos (2021) <doi:10.1002/sim.8870>.

Package: r-cran-skewmlrm
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-moments, r-cran-clustergeneration, r-cran-doparallel, r-cran-mass, r-cran-mvtnorm, r-cran-matrixcalc
Suggests: r-cran-sn
Filename: pool/dists/focal/main/r-cran-skewmlrm_1.7-1.ca2004.1_all.deb
Size: 679220
MD5sum: 0fb8b8eb612b08219c65b92334bc135c
SHA1: 793dac6a1ce6af74eceb0dd2ad545887f7a61c72
SHA256: 1a04b3c2d96f42b73fde9b374abab9a5ed1047c1b659ff1196b679906f227e88
SHA512: dd2cf1f83504982a9cc8f6d9932cd0c27a4f9461e759da0ace7e0c006badeed8cb4574693d79afce4060fc007d2e9cfb729cc37b84fae87d80eaea16abe5e772
Homepage: https://cran.r-project.org/package=skewMLRM
Description: CRAN Package 'skewMLRM' (Estimation for Scale-Shape Mixtures of Skew-Normal Distributions)
 Provide data generation and estimation tools for the multivariate scale
 mixtures of normal presented in Lange and Sinsheimer (1993)
 <doi:10.2307/1390698>, the multivariate scale mixtures of skew-normal
 presented in Zeller, Lachos and Vilca (2011)
 <doi:10.1080/02664760903406504>, the multivariate skew scale mixtures of
 normal presented in Louredo, Zeller and Ferreira (2021)
 <doi:10.1007/s13571-021-00257-y> and the multivariate scale mixtures of
 skew-normal-Cauchy presented in Kahrari et al. (2020)
 <doi:10.1080/03610918.2020.1804582>.

Package: r-cran-skewsamp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-skewsamp_1.0.0-1.ca2004.1_all.deb
Size: 71976
MD5sum: f6f22f462ce17e25c904e2ce07169275
SHA1: 9a6fb33404ebc15ff98191be2bc7ca2771659497
SHA256: 1bac5888ac2a28e29fcc5f886e147b5ba603b001f8789b3299b28c6abd03bdd2
SHA512: 6dd7140271062680d7e351ef0bb8b0d05f7f1771bb3fcc7fa64e045639a0aba2179b2c824e1ef010554fdf4535dd6e24730b0c4a9eb8c15e90ef9bb7591d3cba
Homepage: https://cran.r-project.org/package=skewsamp
Description: CRAN Package 'skewsamp' (Estimate Sample Sizes for Group Comparisons with SkewedDistributions)
 Estimate necessary sample sizes for comparing the location of data from two
 groups or categories when the distribution of the data is skewed. The
 package offers a non-parametric method for a Wilcoxon Mann-Whitney test of
 location shift as well as methods for several generalized linear models, for
 instance, Gamma regression.

Package: r-cran-skewt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-skewt_1.0-1.ca2004.1_all.deb
Size: 14220
MD5sum: 7341f789aede24b7caee911d7acfb8e1
SHA1: a023f09886fbf844059722c0cbc877e5e2b25d71
SHA256: 5c2fc939708824b1f8e5e2afafeb8048629de281fbf34e4cfd705831b53f5067
SHA512: c5f8804c1f23ff4d9154cefe74948992bc85b1792bd0ecbf88f6947b232d8daf9f01180d69dee92fc296d092e870541d77648ee7f05499ef8ab34f0948d23e32
Homepage: https://cran.r-project.org/package=skewt
Description: CRAN Package 'skewt' (The Skewed Student-t Distribution)
 Density, distribution function, quantile function and random generation for
 the skewed t distribution of Fernandez and Steel.

Package: r-cran-skewunit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-skewunit_1.0-1.ca2004.1_all.deb
Size: 60116
MD5sum: b069a2c2f6ecf8aae760af760b41bbb7
SHA1: 79a07f6c3c56a0336cd6373d38607ac7e2fa4333
SHA256: f4d5d99226a0b8c74d723eb73d9be5acf417517847be767e723358006c96c06f
SHA512: fd858f96f3425c84f5bcf3d195f64db4081db6ce7f117b6ba148b959f5dd600eb3ff0603e108e826be1bf6e45ebe42a8cce9afe8d4226d5ab8221f4f9706e116
Homepage: https://cran.r-project.org/package=skewunit
Description: CRAN Package 'skewunit' (Estimation and Other Tools for Skew-Unit Models)
 Provide estimation and data generation tools for the skew-unit family
 discussed based on Mukhopadhyay and Brani (1995) <doi:10.2307/2348710>.  The
 family contains extensions for popular distributions such as the ArcSin
 discussed in Arnold and Groeneveld (1980)
 <doi:10.1080/01621459.1980.10477449>, triangular, U-quadratic and Johnson-SB
 proposed in Cortina-Borja (2006) <doi:10.1111/j.1467-985X.2006.00446_12.x>
 distributions, among others.

Package: r-cran-skillings.mack
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-skillings.mack_1.10-1.ca2004.1_all.deb
Size: 20728
MD5sum: 12a06d7ceea22410266ab978b010ab95
SHA1: c7c98029c69840464e9102ee05bc95ce13b66b2b
SHA256: 51bb5c937e11ea64d42d5b89e50cb7638d17ff94b0504b5af13a10aca6bcb83a
SHA512: a799664490dfd61ece60c6458956de37df9ebe3008298ed61ad992f1578b45cf6a52c6d95c15f737f48ac484a816b611ba02e56fc87e341ec9db4861e791c347
Homepage: https://cran.r-project.org/package=Skillings.Mack
Description: CRAN Package 'Skillings.Mack' (The Skillings-Mack Test Statistic for Block Designs with MissingObservations)
 A generalization of the statistic used in Friedman's ANOVA method and in
 Durbin's rank test. This nonparametric statistical test is useful for the
 data obtained from block designs with missing observations occurring
 randomly. A resulting p-value is based on the chi-squared distribution and
 Monte Carlo method.

Package: r-cran-skilljar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-skilljar_0.1.2-1.ca2004.1_all.deb
Size: 29776
MD5sum: c4a38c8fd0da865c0f8b8b95057d71d2
SHA1: bd4d5d0bd555d9ea6246b1e20fef11104eb559e6
SHA256: e7db8e2966eada85e3a309e2d43a9d853fd3d5c96a7a2c9405045653a3dfc284
SHA512: dd9f6058f74ca1dbb29d14332f90f9ddf26ef0d288aefd70989e288df8afe0e37f898d99014bb7c0d55be403e1b08860781f70e19284acdc60ec83440cb245e2
Homepage: https://cran.r-project.org/package=skilljaR
Description: CRAN Package 'skilljaR' (Connect to Your 'Skilljar' Data)
 Functions that simplify calls to the 'Skilljar' API. See
 <https://api.skilljar.com/docs/> for documentation on the 'Skilljar' API.
 This package is not supported by 'Skilljar'.

Package: r-cran-skimr
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2403
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-pillar, r-cran-purrr, r-cran-repr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-crayon, r-cran-data.table, r-cran-dtplyr, r-cran-extrafont, r-cran-haven, r-cran-lubridate, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-skimr_2.1.5-1.ca2004.1_all.deb
Size: 1034340
MD5sum: a6bb8295eb047411240f6bf07189f168
SHA1: b5b5d8ff485378d46b7bce5c1e98b6831dd36262
SHA256: 80b77b4fa9169d07d34958b94c76f14f9b776dfcfddcd6ba41b274269691616e
SHA512: 71c3e7860f5a96835414430d0acb61551505c4b4877d14558b5f574060a151a5593720cf3beed3404c3240ee7ccc5af9e4775c58c6c9a676d5d43b010fc1690c
Homepage: https://cran.r-project.org/package=skimr
Description: CRAN Package 'skimr' (Compact and Flexible Summaries of Data)
 A simple to use summary function that can be used with pipes and displays
 nicely in the console. The default summary statistics may be modified by the
 user as can the default formatting.  Support for data frames and vectors is
 included, and users can implement their own skim methods for specific object
 types as described in a vignette.  Default summaries include support for
 inline spark graphs.  Instructions for managing these on specific operating
 systems are given in the "Using skimr" vignette and the README.

Package: r-cran-skiptrack
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-genmcmcdiag, r-cran-ggplot2, r-cran-ggtext, r-cran-glmnet, r-cran-gridextra, r-cran-laplacesdemon, r-cran-lifecycle, r-cran-mvtnorm, r-cran-optimg
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-skiptrack_0.1.2-1.ca2004.1_all.deb
Size: 504344
MD5sum: 995396aad96aaa8ec472b4ec4c6d4e55
SHA1: 598e237a73bb404c111303a5f4dc4295cb3da301
SHA256: 298d883ed740e186d1f24fc8d941c6e5b3a013f593a49ee1ef0353a71c78ef57
SHA512: d1dccd1b94f370203b72a6c683d1671bb9399e0f948048e97a072d2ab8b8cff4aeb25e5bf4c25c873e66ab0d91c1817c4f3976c757ae4f60fe7979ce570b9eed
Homepage: https://cran.r-project.org/package=skipTrack
Description: CRAN Package 'skipTrack' (A Bayesian Hierarchical Model that Controls for Non-Adherence inMobile Menstrual Cycle Tracking)
 Implements a Bayesian hierarchical model designed to identify skips in
 mobile menstrual cycle self-tracking on mobile apps. Future developments
 will allow for the inclusion of covariates affecting cycle mean and
 regularity, as well as extra information regarding tracking non-adherence.
 Main methods to be outlined in a forthcoming paper, with alternative models
 from Li et al. (2022) <doi:10.1093/jamia/ocab182>.

Package: r-cran-skmeans
Architecture: all
Version: 0.2-18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-slam, r-cran-clue, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-skmeans_0.2-18-1.ca2004.1_all.deb
Size: 212992
MD5sum: fc4102d0e900bb42719342bd2a983d33
SHA1: 39b7846345e7bec07c205814773d6e32a5b13255
SHA256: 2af03924c3c02a09def08fcbae2a073e61b81db969ac1e02b9557c0819bce98d
SHA512: 0fb50f81317bcf53a34e5337e7b583f2b8b403242a745ae8ec9d9223c027f3446dc9c39cf226fbb3cb69fec2c61a06c5cfbf3c4ae35a0a6ac4ebf5edadc7b65c
Homepage: https://cran.r-project.org/package=skmeans
Description: CRAN Package 'skmeans' (Spherical k-Means Clustering)
 Algorithms to compute spherical k-means partitions.  Features several
 methods, including a genetic and a fixed-point algorithm and an interface to
 the CLUTO vcluster program.

Package: r-cran-sknifedatar
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-modeltime, r-cran-parsnip, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tune
Suggests: r-cran-earth, r-cran-ggplot2, r-cran-recipes, r-cran-rmarkdown, r-cran-spelling, r-cran-timetk, r-cran-workflows, r-cran-yardstick, r-cran-workflowsets
Filename: pool/dists/focal/main/r-cran-sknifedatar_0.1.2-1.ca2004.1_all.deb
Size: 1998916
MD5sum: 7874769683530e380f5a03a1308d870e
SHA1: f16c916ed80273833b404b7cd6fc4130486b9aaf
SHA256: 989d00f85d97e022aea61cb3ff4857f4c977283699f03b09fac128afe59130e4
SHA512: 2eab0d976a1160371c234009d4d51bc00690fdc119f386cf495069edf36911242ed669295dc467bc9b74d77b84b166c12203ea6669db840551175f9cd63fdf6c
Homepage: https://cran.r-project.org/package=sknifedatar
Description: CRAN Package 'sknifedatar' (Swiss Knife of Data)
 Extension of the 'modeltime' ecosystem. In addition. Allows fitting of
 multiple models over multiple time series.  It also provides a bridge for
 using the 'workflowsets' package with 'modeltime'. It includes some
 functionalities for spatial data and visualization.

Package: r-cran-sknn
Architecture: all
Version: 4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sknn_4.1-1.ca2004.1_all.deb
Size: 32656
MD5sum: 23d5fc027bdd1207db46fd1be8e5553f
SHA1: 32f53bb00a8b9a383f2872a03936f26ca4089a37
SHA256: 12b1f972f9040075b69cbf672edbfc853218c6c5525d4b5e59fe05dd9a81671c
SHA512: 528d0e9ae2243bc9d465d4bbaf1caef9f10627434d49883fe64772c29b2e4f95770ba58a99f5107e8e74645f1b8c088179a1da9d6c768df8a1ce5b40648079bb
Homepage: https://cran.r-project.org/package=SKNN
Description: CRAN Package 'SKNN' (A Super K-Nearest Neighbor (SKNN) Classification Algorithm)
 It's a Super K-Nearest Neighbor classification method with using kernel
 density to describe weight of the distance between a training observation
 and the testing sample.

Package: r-cran-sky
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-ebimage
Filename: pool/dists/focal/main/r-cran-sky_1.0-1.ca2004.1_all.deb
Size: 484672
MD5sum: aa0319fa39b67727196490e65ffcca11
SHA1: 354e0cc4ddc9e2127048bfbafe15cafae31ee30d
SHA256: 10518d72a67fbb344b130173a3cf94cf9c8b91971d3b3b76256f0ff6b1853914
SHA512: ea3f382f52b137802c17a11e5a7556cd7f8bd076a147846ddfafffaccf4d2449aaa13ff9f526b161f5b91c742c5f7cb67d4019d25cfcb1a9ee9c19abcb27c979
Homepage: https://cran.r-project.org/package=Sky
Description: CRAN Package 'Sky' (Canopy Openness Analyzer Package)
 Provides an alternative to manually process hemispherical pictures. The
 algorithm processes each picture one by one to determine the proportion of
 sky pixel. The algorithm uses the Ridler and Calvard method (Ridler and
 Calvard 1978).

Package: r-cran-skylight
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 398
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-tidyr, r-cran-rnaturalearth, r-cran-dplyr, r-cran-ggplot2, r-cran-terra, r-cran-ncdf4, r-cran-scales, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-skylight_1.2-1.ca2004.1_all.deb
Size: 227260
MD5sum: 723812b56c310e3278ab6289bdfd9a23
SHA1: e8da64d7b7c95d7c9c33a76403ee203a16abafb5
SHA256: c29e08aa1b2ac10ad2125fdfd530008cf6a66f56d99e11359ff9270b28911505
SHA512: 434322745061f6c51e184507756110c84b3f0465805e1f6cb16e3e14c1e470f2259d3d824acb12d0450ff8a035705359f9f9e7b4e01567cff5c53257d95d7498
Homepage: https://cran.r-project.org/package=skylight
Description: CRAN Package 'skylight' (A Simple Sky Illuminance Model)
 A tool to calculate sky illuminance values (in lux) for both sun and moon.
 The model is a verbatim translation of the code by Janiczek and DeYoung
 (1987) <https://archive.org/details/DTIC_ADA182110>.

Package: r-cran-skynet
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2660
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-stringr, r-cran-maps, r-cran-httr, r-cran-geosphere, r-cran-leaflet, r-cran-rcurl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra, r-cran-covr
Filename: pool/dists/focal/main/r-cran-skynet_1.4.3-1.ca2004.1_all.deb
Size: 1883812
MD5sum: 395e320ed07ead1e9cf832f1667d8773
SHA1: 9b9beec76722e01f3428dc9a7d2cf71579f5785b
SHA256: ae889f826d5657dc0f8db7fbdf7b3a47a806c450630e726358e988cc175342bb
SHA512: fd8ecfb24e51693129874d5ad0fb8dfb64272c6c591dfa5c5667ecb2d2f8191131fbb9ee15f2e3b144b3ca92f9365fccb2b6e14025844e685941107d502cb42c
Homepage: https://cran.r-project.org/package=skynet
Description: CRAN Package 'skynet' (Generates Networks from BTS Data)
 A flexible tool that allows generating bespoke air transport statistics for
 urban studies based on publicly available data from the Bureau of Transport
 Statistics (BTS) in the United States
 <https://www.transtats.bts.gov/databases.asp?Z1qr_VQ=E&Z1qr_Qr5p=N8vn6v10&f7owrp6_VQF=D>.

Package: r-cran-skyscaper
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1387
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-swephr, r-cran-png, r-cran-oce, r-cran-mess, r-cran-rcolorbrewer, r-cran-numderiv, r-cran-foreach, r-cran-doparallel, r-cran-rootsolve, r-cran-httr, r-cran-plotrix, r-cran-zoo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-skyscaper_1.0.0-1.ca2004.1_all.deb
Size: 988940
MD5sum: 33b23ffdc951c38f0e03234a1bdfb912
SHA1: 2fd5b52bd00f4fdf94d2bb85a699ea10285c4e4b
SHA256: c5e3d8025c7c8e669a339e016977f9f9868abdc41a0298232f9cf179294a9efc
SHA512: c79d089af8dd2f039f86a7a8a21c45c4dbf80cc33d395d184cc6ed152ac8376158a1745362874002ffef07fce5fb73ff958c8adb3f00a525ebdd8619c58fce72
Homepage: https://cran.r-project.org/package=skyscapeR
Description: CRAN Package 'skyscapeR' (Data Analysis and Visualization for Skyscape Archaeology)
 Data reduction, visualization and statistical analysis of measurements of
 orientation of archaeological structures, following Silva (2020)
 <doi:10.1016/j.jas.2020.105138>.

Package: r-cran-slackr
Architecture: all
Version: 3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cachem, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-memoise, r-cran-rlang, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-svglite, r-cran-testthat, r-cran-texpreview
Filename: pool/dists/focal/main/r-cran-slackr_3.3.1-1.ca2004.1_all.deb
Size: 160728
MD5sum: 0a18322e2f55a5e48167a35ed426531a
SHA1: 352ca96f5e920586839141a03d05564a3efc3da7
SHA256: bdd0d4baecd7133b8ba0f9bc72d2fd24598f102502db6ea198f0a15d3fa87f98
SHA512: 7df604ff9769ca1c386ba7e923c4e9ab33faf1f4b540aaba6c9a3960beed3b2698063e90ece8d185f85881550c59e6f7a4502b6275d8ae62b3fd28aba52bd4ce
Homepage: https://cran.r-project.org/package=slackr
Description: CRAN Package 'slackr' (Send Messages, Images, R Objects and Files to 'Slack'Channels/Users)
 'Slack' <https://slack.com/> provides a service for teams to collaborate by
 sharing messages, images, links, files and more.  Functions are provided
 that make it possible to interact with the 'Slack' platform 'API'. When you
 need to share information or data from R, rather than resort to copy/ paste
 in e-mails or other services like 'Skype' <https://www.skype.com/en/>, you
 can use this package to send well-formatted output from multiple R objects
 and expressions to all teammates at the same time with little effort. You
 can also send images from the current graphics device, R objects, and upload
 files.

Package: r-cran-slanter
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 926
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-pheatmap, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slanter_0.2-0-1.ca2004.1_all.deb
Size: 756880
MD5sum: dae1ed01796ee3060dfb164c2dac178f
SHA1: e57a6f4a1eda376d41a7e00fab784e2447a78167
SHA256: 9d6fc50c2adca42354acd21c822c1fdea7fc60b266b0362bcc33bc36c942aa87
SHA512: e1949a691f621823838ebfdd71d7d39307b220d3ed7a127dd1053bf65947e24386ee8d023d4c1b8fde39905ea21d90d9f40eb1954ae0600da632b9c5a30b3d58
Homepage: https://cran.r-project.org/package=slanter
Description: CRAN Package 'slanter' (Slanted Matrices and Ordered Clustering)
 Slanted matrices and ordered clustering for better visualization of
 similarity data.

Package: r-cran-slap
Architecture: all
Version: 2024.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slap_2024.4.1-1.ca2004.1_all.deb
Size: 435820
MD5sum: 4384099a63c26e6e3347bf9fb25f66d4
SHA1: 2d8eccf8e20a0a458e129cd8311acf5bfd0c7fdf
SHA256: 4aa29d7c600ea61f1ffc42665adb6cb54e87b5f6862dc86dafc826dcda8168e1
SHA512: 73bcc14fcc042182814d68cf8ae2bd0a6b7d0098b3908c61e847c0eae876b3eff491dfc9dacbe3398bf422edad21aaada90a0240186ef64d1e33ba6a27afce58
Homepage: https://cran.r-project.org/package=slap
Description: CRAN Package 'slap' (Simplified Error Handling)
 Alternative to using withCallingHandlers() in the simple case of catch and
 rethrow. The `%!%` operator evaluates the expression on its left hand side,
 and if an error occurs, the right hand side is used to construct a new error
 that embeds the original error.

Package: r-cran-slapmeg
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-lcmm, r-bioc-globaltest, r-cran-magic, r-cran-reshape2, r-cran-ggplot2, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-slapmeg_1.0.2-1.ca2004.1_all.deb
Size: 92596
MD5sum: c10b222df9b440c2bf5f1afefc303cef
SHA1: 6c463b6675509d82ec54e61548e9c3273d7ae179
SHA256: 65886196d678a61d2656627b7f026efa2e0e23f5b032a5fc1bc3888d995784dc
SHA512: 9ea722e545fba05c090d86a74bd93d4358ae1b5dd8ee6973be4bebc6dc38de62248777528fd5f8cd4a7f2cdbcc4088d999b8ab1949013b6342b39a87417112ba
Homepage: https://cran.r-project.org/package=SlaPMEG
Description: CRAN Package 'SlaPMEG' (Pathway Testing for Longitudinal Omics)
 A self-contained hypothesis is tested for a given pathway of longitudinal
 omics. 'SlaPMEG' is a two-step procedure. First, a shared latent process
 mixed model is fitted over the longitudinal measures of omics in a pathway.
 This shared model allows deviation from the shared process at subject level
 (a random intercept, slope, or both per subject) and also at omic level (a
 random effect per omic). These random effects summarize the longitudinal
 trend of the observations which can be used to test for group differences
 using 'Globaltest' in the second step. If the pathway is large or the shared
 effect is small, the package fits a series of pairwise models and estimates
 the shared random effects based on them.

Package: r-cran-slash
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1809
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slash_0.1.0-1.ca2004.1_all.deb
Size: 1789244
MD5sum: 2e4dc1404cfc80443ece37aaa72094ba
SHA1: ac97668acc7ee29f4ab14cd2c8f40138a01a810c
SHA256: c80e6f986cb9017d0b9982d537ef18927d8709fcd06a85a15262e2715459a93f
SHA512: 086dcf41337eb439413c11c3d2ad98b9b9578d0ebf0cd93905513e588e4be91cd549f914426724be7d27390ae155c70553643bfa7c3b45b8ff4ebde578f7c7fa
Homepage: https://cran.r-project.org/package=slash
Description: CRAN Package 'slash' (Path-Based Access and Manipulation of Nested Lists)
 Allows users to list data structures using path-based navigation.  Provides
 intuitive methods for storing, accessing, and manipulating nested data
 through simple path strings.  Key features include strict mode validation,
 path existence checking, recursive operations, and automatic parent-level
 creation. Designed for use cases requiring organized storage of complex
 nested data while maintaining simple access patterns.  Particularly useful
 for configuration management, nested settings, and any application where
 data naturally forms a tree-like structure.

Package: r-cran-slbdd
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5583
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-corpcor, r-cran-forecast, r-cran-gsarima, r-cran-cluster, r-cran-fgarch, r-cran-imputets, r-cran-mass, r-cran-mts, r-cran-tsclust, r-cran-tsoutliers, r-cran-matrix, r-cran-matrixcalc, r-cran-rnn
Filename: pool/dists/focal/main/r-cran-slbdd_0.0.4-1.ca2004.1_all.deb
Size: 5669800
MD5sum: bbe650b22ca0d16225f138f504295367
SHA1: 3135c545ad8b98a189bbcd862250e12dc3b22f20
SHA256: 69f08d15e79df9be84c99e69b2f7f729fc54b3363cf6c15cdd16c145a368cfb0
SHA512: 1022c321f584349d24c9a15a21a40c29ba002321d83b70d4fee69550ce8171881fa2901e3acf3e5e4001e6de62a01b76aae7cacdbd8cd681895c24e136c98289
Homepage: https://cran.r-project.org/package=SLBDD
Description: CRAN Package 'SLBDD' (Statistical Learning for Big Dependent Data)
 Programs for analyzing large-scale time series data. They include functions
 for automatic specification and estimation of univariate time series, for
 clustering time series, for multivariate outlier detections, for quantile
 plotting of many time series, for dynamic factor models and for creating
 input data for deep learning programs. Examples of using the package can be
 found in the Wiley book 'Statistical Learning with Big Dependent Data' by
 Daniel Peña and Ruey S. Tsay (2021). ISBN 9781119417385.

Package: r-cran-slc
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-slc_0.3-1.ca2004.1_all.deb
Size: 14484
MD5sum: a564290adefdcb343df838ba7ef042ee
SHA1: 006513c20f26b724d6986d2fa6b019bdc599f8fe
SHA256: b8fc45959a9f7966ecc7f50020cf4a5e39fa8141d951347229f9ed5a285abdd8
SHA512: df0d9f42c2c533c74794a91ea656acde451dbf56ffa4f43d7e1881e83945b1144482da0f2c5cf138ee4e2f281dd5c399ff6f393218966af5ea51c04cf5fbcf63
Homepage: https://cran.r-project.org/package=SLC
Description: CRAN Package 'SLC' (Slope and level change)
 Estimates the slope and level change present in data after removing phase A
 trend. Represents graphically the original and the detrended data.

Package: r-cran-slcare
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-nnet, r-cran-reda, r-cran-rereg, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-slcare_1.2.0-1.ca2004.1_all.deb
Size: 76372
MD5sum: e43479ac763307528280c550e9bfe84e
SHA1: 794b7442bf0c5ee9e9e63886f729b606f91185ec
SHA256: d03e9c9c4d69daa6d8726ce3213cdf877212a9255c07521536d3b9d6b6beb414
SHA512: 3db57fe10ea2a80342cb10ba0a5d7b2c0547e12bd245f203b0dc3fa6dddac274c280c469e84720609de7673e933d048dd74a69afdc5693441635810e3b82390d
Homepage: https://cran.r-project.org/package=SLCARE
Description: CRAN Package 'SLCARE' (Semiparametric Latent Class Analysis of Recurrent Events)
 Efficient R package for latent class analysis of recurrent events, based on
 the semiparametric multiplicative intensity model by Zhao et al. (2022)
 <doi:10.1111/rssb.12499>. SLCARE returns estimates for non-functional model
 parameters along with the associated variance estimates and p-values.
 Visualization tools are provided to depict the estimated functional model
 parameters and related functional quantities of interest. SLCARE also
 delivers a model checking plot to help assess the adequacy of the fitted
 model.

Package: r-cran-sldassay
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sldassay_1.8-1.ca2004.1_all.deb
Size: 30244
MD5sum: b2d30bb2e31d8f5210cab7729412eac4
SHA1: b8775f3e7194b140070422e866d70eac0fd4a5dd
SHA256: 2924be2ae0e9cf2bf72bb609ba3c160e45fe27ce7529db2c9a22a75a8bd09459
SHA512: 0ea11a366a750f8d46ef2798ea2b938b307b7cd38ad1b4ce15343a6793a71a12056eb79e7a70a0598da2d6fc1a9b9f2d2af1d53142762c279b02495939357d66
Homepage: https://cran.r-project.org/package=SLDAssay
Description: CRAN Package 'SLDAssay' (Software for Analyzing Limiting Dilution Assays)
 Calculates maximum likelihood estimate, exact and asymptotic confidence
 intervals, and exact and asymptotic goodness of fit p-values for
 concentration of infectious units from serial limiting dilution assays. This
 package uses the likelihood equation, exact goodness of fit p-values, and
 exact confidence intervals described in Meyers et al. (1994)
 <http://jcm.asm.org/content/32/3/732.full.pdf>. This software is also
 implemented as a web application through the Shiny R package
 <https://iupm.shinyapps.io/sldassay/>.

Package: r-cran-sleekts
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sleekts_1.0.2-1.ca2004.1_all.deb
Size: 19636
MD5sum: 4b2dce3e8918556aa79b8115dff4bbed
SHA1: d3163e844b8a907c9c94727c846ae8d656c71440
SHA256: 6d3071578ba3cc7e298ea5459810a2c033583cc6b626921635a333d4ef7870d1
SHA512: d16ddc42f278a78c29a1c8e48740c7e4b535acc671830a32acc4def7e1039c3ca90bd17addc4f815055dbc89f1df98458f27f14929e8186a9a14c065047fb8c0
Homepage: https://cran.r-project.org/package=sleekts
Description: CRAN Package 'sleekts' (4253H, Twice Smoothing)
 Compute Time series Resistant Smooth 4253H, twice smoothing method.

Package: r-cran-sleepcycles
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-plyr, r-cran-stringr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sleepcycles_1.1.4-1.ca2004.1_all.deb
Size: 98524
MD5sum: 40f4fabe06f47c079b439bcb798b1116
SHA1: c2400db3b078265db70cdc1960e337bff0e65978
SHA256: 3da6ac20f36873b1db950dad4ad19c33d5f4caa8900394ecfee64a48cf9fb88f
SHA512: 4a3c81f460ade0c8f7ba97dc5137a2108a7f55bcd71954b62caa3592a57969b8d45b414252834acf3e5ddbbcaed07611b74f04ebdfaf56c4702bc4a6af35bfe7
Homepage: https://cran.r-project.org/package=SleepCycles
Description: CRAN Package 'SleepCycles' (Sleep Cycle Detection)
 Sleep cycles are largely detected according to the originally proposed
 criteria by Feinberg & Floyd (1979) <doi:10.1111/j.1469-8986.1979.tb02991.x>
 as described in Blume & Cajochen (2021) <doi:10.1016/j.mex.2021.101318>.

Package: r-cran-sleeperapi
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-plotly, r-cran-dplyr, r-cran-purrr, r-cran-scales, r-cran-dt, r-cran-shiny, r-cran-htmlwidgets, r-cran-shinycssloaders, r-cran-shinywidgets, r-cran-rcolorbrewer, r-cran-htmltools, r-cran-tidyr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sleeperapi_1.1.2-1.ca2004.1_all.deb
Size: 155796
MD5sum: 488dc9f77333bf4e8222d808f3d234fc
SHA1: 37a2a5385fb0f47489404d12a7b41552dd45008e
SHA256: 352d3b49825b61d12b9a1ca30ad1fae1bfd67936c2b6fb3cc6990def99474360
SHA512: 7c963ba8846cb5e42b54ca8516727b5299010955368c00fa8a1336816ee8c63ebaaf7309777bbe89bd99daed0767cd30a2edfb755dac75cb9616d8e25059f880
Homepage: https://cran.r-project.org/package=sleeperapi
Description: CRAN Package 'sleeperapi' (Wrapper Functions Around 'Sleeper' (Fantasy Sports) API)
 For those wishing to interact with the 'Sleeper' (Fantasy Sports) API
 (<https://docs.sleeper.com/>) without looking too much into its
 documentation (found at <https://docs.sleeper.com/>), this package offers
 wrapper functions around the available API calls to make it easier.

Package: r-cran-sleepr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-behavr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sleepr_0.3.1-1.ca2004.1_all.deb
Size: 42452
MD5sum: 80f35e21a0e95c11cd7946f792ee5009
SHA1: 8fa9f075f8393ad8f68692544123b6f9d869be42
SHA256: 6ea4f6c87045bea7776552b05a729fe04075a3f5a4349dabf38075912ce3d913
SHA512: 58164aa37dddba9e1b1c253abf590c86cad5035e587adec1010c764054ab9cda76f40201c4f778071ec6d8939b4808f378341bcd936903f5c666c807e14828d4
Homepage: https://cran.r-project.org/package=sleepr
Description: CRAN Package 'sleepr' (Analyse Activity and Sleep Behaviour)
 Use behavioural variables to score activity and infer sleep from bouts of
 immobility.  It is primarily designed to score sleep in fruit flies from
 Drosophila Activity Monitor (TriKinetics) and Ethoscope data.  It implements
 sleep scoring using the "five-minute rule" (Hendricks et al. (2000)
 <DOI:10.1016/S0896-6273(00)80877-6>), activity classification for Ethoscopes
 (Geissmann et al. (2017) <DOI:10.1371/journal.pbio.2003026>) and a new
 algorithm to detect when animals are dead.

Package: r-cran-sleepwalk
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jrc, r-cran-cowplot, r-cran-httpuv, r-cran-jsonlite, r-cran-scales, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sleepwalk_0.3.2-1.ca2004.1_all.deb
Size: 114672
MD5sum: f5e92899e8c626f5626e3d414b7da879
SHA1: 0cbda70353af0f7d1b9e009faf61c0231a1e1532
SHA256: fd789aaf1cef6cf7a998f32070947aec7070d8d229d594f30c59372353933093
SHA512: 3bc7c6943db278c850ae48fcf4ef097f9e49c8c5c5bd48c70f54e5bd4e13323cd93c95644e55fcea62dac353574cfb8eb17b59c51828a9c165e2cb5ac57974e0
Homepage: https://cran.r-project.org/package=sleepwalk
Description: CRAN Package 'sleepwalk' (Interactively Explore Dimension-Reduced Embeddings)
 A tool to interactively explore the embeddings created by dimension
 reduction methods such as Principal Components Analysis (PCA),
 Multidimensional Scaling (MDS), T-distributed Stochastic Neighbour Embedding
 (t-SNE), Uniform Manifold Approximation and Projection (UMAP) or any other.

Package: r-cran-slemi
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1935
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-e1071, r-cran-ggplot2, r-cran-gridextra, r-cran-nnet, r-cran-hmisc, r-cran-reshape2, r-cran-stringr, r-cran-doparallel, r-cran-caret, r-cran-corrplot, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-data.table, r-cran-covr
Filename: pool/dists/focal/main/r-cran-slemi_1.0.2-1.ca2004.1_all.deb
Size: 1459592
MD5sum: 8556200bc4f92a814dddb1764b58787d
SHA1: f31d2f3c860388a7444ba0345885310ccc847731
SHA256: cf13661407a6a3fd9cbe6465863db32fe805173454d7e2e7b9e0ef3cd553e958
SHA512: a01b876a27feef94bc4cee72334cabf36640ba4fb28a437d3758f5e263a7868c1fea8efa726bc69136ddb89233ff82151a0cc8524831c327559aab008fda1c10
Homepage: https://cran.r-project.org/package=SLEMI
Description: CRAN Package 'SLEMI' (Statistical Learning Based Estimation of Mutual Information)
 The implementation of the algorithm for estimation of mutual information and
 channel capacity from experimental data by classification procedures
 (logistic regression). Technically, it allows to estimate
 information-theoretic measures between finite-state input and multivariate,
 continuous output. Method described in Jetka et al. (2019)
 <doi:10.1371/journal.pcbi.1007132>.

Package: r-cran-slendr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4764
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-magrittr, r-cran-reticulate, r-cran-tidyr, r-cran-png, r-cran-ijtiff, r-cran-ape, r-cran-shinywidgets, r-cran-shiny, r-cran-scales, r-cran-digest, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-sf, r-cran-stars, r-cran-rnaturalearth, r-cran-gganimate, r-cran-knitr, r-cran-rmarkdown, r-cran-admixr, r-cran-units, r-cran-magick, r-cran-cowplot, r-cran-forcats, r-cran-rsvg
Filename: pool/dists/focal/main/r-cran-slendr_1.1.0-1.ca2004.1_all.deb
Size: 2484620
MD5sum: 722962e76aa2c47c29e46a003815a583
SHA1: 31525e94299b6c590de3c8305b5070f9283f46d7
SHA256: e663661ab13431c654a9cc93393ad1be5a2c73c2c693b889d43763dc12660974
SHA512: bfca2f7cd20a4ac6fbc33d95176cdfb7e764625f5ccd7eca777b73e4a2657bc41d2d8700c5168a32127de3f6a3ebe2fa21ce53ac913a7c0b6f4b86563cb6d6dd
Homepage: https://cran.r-project.org/package=slendr
Description: CRAN Package 'slendr' (A Simulation Framework for Spatiotemporal Population Genetics)
 A framework for simulating spatially explicit genomic data which leverages
 real cartographic information for programmatic and visual encoding of
 spatiotemporal population dynamics on real geographic landscapes. Population
 genetic models are then automatically executed by the 'SLiM' software by
 Haller et al. (2019) <doi:10.1093/molbev/msy228> behind the scenes, using a
 custom built-in simulation 'SLiM' script. Additionally, fully abstract
 spatial models not tied to a specific geographic location are supported, and
 users can also simulate data from standard, non-spatial, random-mating
 models. These can be simulated either with the 'SLiM' built-in back-end
 script, or using an efficient coalescent population genetics simulator
 'msprime' by Baumdicker et al. (2022) <doi:10.1093/genetics/iyab229> with a
 custom-built 'Python' script bundled with the R package. Simulated genomic
 data is saved in a tree-sequence format and can be loaded, manipulated, and
 summarised using tree-sequence functionality via an R interface to the
 'Python' module 'tskit' by Kelleher et al. (2019)
 <doi:10.1038/s41588-019-0483-y>. Complete model configuration, simulation
 and analysis pipelines can be therefore constructed without a need to leave
 the R environment, eliminating friction between disparate tools for
 population genetic simulations and data analysis.

Package: r-cran-sleuth2
Architecture: all
Version: 2.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5086
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-lattice, r-cran-knitr, r-cran-mass, r-cran-agricolae, r-cran-car, r-cran-gmodels, r-cran-leaps, r-cran-mosaic
Filename: pool/dists/focal/main/r-cran-sleuth2_2.0-7-1.ca2004.1_all.deb
Size: 3896404
MD5sum: c319bd0b4d76f51ff51f7d0ccc0047f1
SHA1: 966e410d8974151f8d9237888991315b984d5b86
SHA256: d6663e2676f439abf24607dbbb681e526579f2ac70b4104fb7ad7e1a5181dc94
SHA512: 1a1f6f3052cd8b91ecebdea76f7332b4e5eca87b8a96df190666d392e96573a37b8489b7769f5945b70f7f9f62f4611a082f5c6ee6b9e7b4cdfe48524f7c4c95
Homepage: https://cran.r-project.org/package=Sleuth2
Description: CRAN Package 'Sleuth2' (Data Sets from Ramsey and Schafer's "Statistical Sleuth (2ndEd)")
 Data sets from Ramsey, F.L. and Schafer, D.W. (2002), "The Statistical
 Sleuth: A Course in Methods of Data Analysis (2nd ed)", Duxbury.

Package: r-cran-sleuth3
Architecture: all
Version: 1.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5901
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-cca, r-cran-hmisc, r-cran-mass, r-cran-agricolae, r-cran-car, r-cran-gmodels, r-cran-knitr, r-cran-lattice, r-cran-leaps, r-cran-mosaic, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-sleuth3_1.0-6-1.ca2004.1_all.deb
Size: 4696564
MD5sum: 9417bbb81dd8ed4c8bc06d79153a0396
SHA1: af6eab2c8ba4df8bf62906647df3e7422741e684
SHA256: a778a43c9803027b715b8c5d719f6ebfd877366e9b0681079950e6594d4bd3a6
SHA512: 0bb52dfa45e61b4e62e442ef874b196f354716f9893266374197b254f48d77a479ca5cd4af56aefc21c6070e3660f34a5445510108553a7b9081cf9b3592d5d7
Homepage: https://cran.r-project.org/package=Sleuth3
Description: CRAN Package 'Sleuth3' (Data Sets from Ramsey and Schafer's "Statistical Sleuth (3rdEd)")
 Data sets from Ramsey, F.L. and Schafer, D.W. (2013), "The Statistical
 Sleuth: A Course in Methods of Data Analysis (3rd ed)", Cengage Learning.

Package: r-cran-slfpca
Architecture: all
Version: 3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fda, r-cran-fdapace, r-cran-psych
Filename: pool/dists/focal/main/r-cran-slfpca_3.0-1.ca2004.1_all.deb
Size: 43824
MD5sum: 3fb59d1c2a2977353e89865fc2aaac91
SHA1: 3a28cc4191691a12cb00bf7fef1281ae5ff0ef8a
SHA256: 2d3c805c343a0d014055b01a13c47fdb13ea0bd2231c4de5d2f3c39e8ec8863d
SHA512: 455fa02b2edfafd43cbb02102333ea1a05bc33b6ca6d8a2e385116f68064ff5621d002d4eca08575bc1ed566da9305b488a7b6f0f2d0f33e743f3f8581f3a5b0
Homepage: https://cran.r-project.org/package=SLFPCA
Description: CRAN Package 'SLFPCA' (Sparse Logistic Functional Principal Component Analysis)
 Implementation for sparse logistic functional principal component analysis
 (SLFPCA). SLFPCA is specifically developed for functional binary data, and
 the estimated eigenfunction can be strictly zero on some sub-intervals,
 which is helpful for interpretation. The crucial function of this package is
 SLFPCA().

Package: r-cran-slgf
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rdpack, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-captioner, r-cran-formatr, r-cran-rcrossref, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slgf_2.0.0-1.ca2004.1_all.deb
Size: 80280
MD5sum: a82506a5c509973d56b175ec8587838d
SHA1: 92479b5f66448b08a6ec4c484c65b438b81e6671
SHA256: c2153de658d547b02b3cfac9ea3e5271d97f5957a1ee410f44203eb002ee4c75
SHA512: 3c37a0e8d68836fba81620e9a5078dc2b785f5d337d8e2bbc608c6dbce2433e9d4982140e052d8562054693f5e59d29fd35c2d489520e9d1bb4fa516ccbfada3
Homepage: https://cran.r-project.org/package=slgf
Description: CRAN Package 'slgf' (Bayesian Model Selection with Suspected Latent Grouping Factors)
 Implements the Bayesian model selection method with suspected latent
 grouping factor methodology of Metzger and Franck (2020),
 <doi:10.1080/00401706.2020.1739561>. SLGF detects latent heteroscedasticity
 or group-based regression effects based on the levels of a user-specified
 categorical predictor.

Package: r-cran-slicedlhd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-slicedlhd_1.0-1.ca2004.1_all.deb
Size: 34924
MD5sum: 519d4b9a53c02ad6a4dd31d433a05d97
SHA1: 414ca8b0bdf358d3667e4cf4834a418ceeee552e
SHA256: cfd78e548236bc7d4c4f89e6d611b06425e681dccb63c7bac9289c3e2b0fbbed
SHA512: 49914b16f83339c1e845782795fd284cb8ba12e2cbf9373737518c343076b86433fc03465880bc76f13f80057f8568203d5051e9ee581c88af86cab4beeb7298
Homepage: https://cran.r-project.org/package=SlicedLHD
Description: CRAN Package 'SlicedLHD' (Sliced Latin Hypercube Designs)
 A facility to generate sliced (orthogonal) Latin hypercube designs with four
 and five slices. For details about sliced and orthogonal Latin hypercube
 designs, see Yang, J. F., Lin, C. D., Qian, P. Z., and Lin, D. K. (2013).
 "Construction of sliced orthogonal Latin hypercube designs". Statistica
 Sinica, 1117-1130, <doi:10.5705/ss.2012.037>.

Package: r-cran-slicer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alphahull, r-cran-igraph, r-cran-lle
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slicer_0.2.0-1.ca2004.1_all.deb
Size: 1208560
MD5sum: 2c391879bb84106719f9e8538a321f89
SHA1: 0b5b7329c79b78155bd5a6b87391342d689d92a4
SHA256: 15c404b3b36229359a7233c1b8dc807d235bd5ada1a655b97a9a3048615139bb
SHA512: 5cd3842e469622739d0b92b1f2b890c2e1722986265f44fc49cbff5380285b2a1827a60436df09f7cc6458c61276d5ef890573e7995c20dedfca786219434b3f
Homepage: https://cran.r-project.org/package=SLICER
Description: CRAN Package 'SLICER' (Selective Locally Linear Inference of Cellular ExpressionRelationships)
 Provides an implementation of SLICER, an algorithm for inferring cellular
 trajectories from single cell RNA sequencing data. See Welch, JD, Hartemink
 AJ, Prins JF (2016) <doi:10.1186/s13059-016-0975-3>.

Package: r-cran-slickr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4151
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-lifecycle, r-cran-xml2, r-cran-base64enc, r-cran-htmlwidgets, r-cran-checkmate
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-pdftools, r-cran-rmarkdown, r-cran-svglite, r-cran-leaflet, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-slickr_0.6.0-1.ca2004.1_all.deb
Size: 710520
MD5sum: 0371a846af668a5b66d0efabd1e2e4c7
SHA1: 6e5762e4e02e8de97178ae74041c60f44709ac09
SHA256: a7bb3ebf41c0139acde3586265d85ffeaf0047a1e9b0cf7de828b98129eb152f
SHA512: 9ce02ba38838e59a9401195b8f731ee4e6b1345189c2d57bd26a043de9a6092bb11d99ca5fa601ff8329a39bb92779914ad2eb8001da116e1dc6e3b6b0e610aa
Homepage: https://cran.r-project.org/package=slickR
Description: CRAN Package 'slickR' (Create Interactive Carousels with the 'JavaScript' 'Slick'Library)
 Create and customize interactive carousels using the 'Slick' 'JavaScript'
 library and the 'htmlwidgets' package. The carousels can contain plots
 produced in R, images, 'iframes', videos and other 'htmlwidgets'.  These
 carousels can be created directly from the R console, and viewed in the
 'RStudio' internal viewer, in 'Shiny' apps and R Markdown documents.

Package: r-cran-slide
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slide_1.0.0-1.ca2004.1_all.deb
Size: 58856
MD5sum: 5e438cde09be459a1cf6775dc662f0c3
SHA1: 4d4173fefb40d0bbccf1555df895a0f2762fa549
SHA256: ea23ca9c66ce42110518c7780eace113b381c5d415830d44c6e4b63599e4a7b8
SHA512: 8cab1fd19d0d1e26274133bbfe1116740a1e5dc814763a30fa692798b5abedcf4c019136a324be8d52774fc07645ced7e27124b03826f948a438bc3a9bdad9ed
Homepage: https://cran.r-project.org/package=SLIDE
Description: CRAN Package 'SLIDE' (Single Cell Linkage by Distance Estimation is SLIDE)
 This statistical method uses the nearest neighbor algorithm to estimate
 absolute distances between single cells based on a chosen constellation of
 surface proteins, with these distances being a measure of the similarity
 between the two cells being compared. Based on Sen, N., Mukherjee, G., and
 Arvin, A.M. (2015) <DOI:10.1016/j.ymeth.2015.07.008>.

Package: r-cran-slidecna
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-reshape2, r-cran-dplyr, r-cran-ggplot2, r-cran-scales, r-cran-pheatmap, r-cran-cluster, r-cran-factoextra, r-cran-dendextend, r-cran-seurat, r-cran-tidyselect, r-cran-stringr, r-cran-magrittr, r-cran-tibble, r-cran-futile.logger, r-cran-mltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slidecna_0.1.0-1.ca2004.1_all.deb
Size: 142192
MD5sum: 81efeb443f4c348c49d1a4eb3b585439
SHA1: 07a6cb36d863eb702e7d9b140e521f6ef1f630f0
SHA256: 28e5046ed62876cad78908ca4d76e839dc8368fcda21c1b161a4d87381c50d31
SHA512: 9249b884f3a5edb1d25bd8537df2f042cc338411c700a93e611fb7988e7b3e3c0e7c0b78c0bed38a11c3276a1cde37d2fb5414776e60a889caaeac5a1ce88c4b
Homepage: https://cran.r-project.org/package=SlideCNA
Description: CRAN Package 'SlideCNA' (Calls Copy Number Alterations from Slide-Seq Data)
 This takes spatial single-cell-type RNA-seq data (specifically designed for
 Slide-seq v2) that calls copy number alterations (CNAs) using pseudo-spatial
 binning, clusters cellular units (e.g. beads) based on CNA profile, and
 visualizes spatial CNA patterns. Documentation about 'SlideCNA' is included
 in the the pre-print by Zhang et al. (2022,
 <doi:10.1101/2022.11.25.517982>). The package 'enrichR' (>= 3.0),
 conditionally used to annotate SlideCNA-determined clusters with gene
 ontology terms, can be installed at <https://github.com/wjawaid/enrichR> or
 with install_github("wjawaid/enrichR").

Package: r-cran-slideview
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-lattice, r-cran-raster, r-cran-viridislite
Suggests: r-cran-jpeg
Filename: pool/dists/focal/main/r-cran-slideview_0.2.0-1.ca2004.1_all.deb
Size: 372208
MD5sum: 4092f90fd76d01a20e4f9b1c04b5ddcd
SHA1: 1e382d669650fb258d344f0c8d5f9a9d06b394f4
SHA256: 639ca83ccc79d99ad2e7ec333ea70f32c473f67dc08a9ede3ac207ce97a34ae7
SHA512: 0a9209b7e953bde75face6536089041bf635b613244c49d61f156b409abda8086fe2de7da2b5d27a48578c8f1b3872ff03a047a962e11da7267c2ca1b33c44ad
Homepage: https://cran.r-project.org/package=slideview
Description: CRAN Package 'slideview' (Compare Raster Images Side by Side with a Slider)
 Create a side-by-side view of raster(image)s with an interactive slider to
 switch between regions of the images. This can be especially useful for
 image comparison of the same region at different time stamps.

Package: r-cran-slidingwindows
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dcca, r-cran-performanceanalytics, r-cran-nonlineartseries, r-cran-tsentropies
Suggests: r-cran-xts, r-cran-zoo, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-slidingwindows_0.2.0-1.ca2004.1_all.deb
Size: 44420
MD5sum: 61d4bafdc7bca6f5306b88b7264c7a2e
SHA1: 06971a2d6ac31db66f2f2a037a0e773cac326335
SHA256: 0b4095bc47f1559fb9ab4a4dd7fdf2dcc7351c5557049a63ca6882ae3efd59b0
SHA512: 88047685b113c2bbc06e741a7cfb86658f750bf82c13c1f1efb1c754618febccec87ef9059251f2590373f62358eeedb8bb7b03bbde8991f6ef533a71c60ae51
Homepage: https://cran.r-project.org/package=SlidingWindows
Description: CRAN Package 'SlidingWindows' (Methods for Time Series Analysis)
 A collection of functions to perform Detrended Fluctuation Analysis (DFA
 exponent), GUEDES et al. (2019) <doi:10.1016/j.physa.2019.04.132> ,
 Detrended cross-correlation coefficient (RHODCCA), GUEDES & ZEBENDE (2019)
 <doi:10.1016/j.physa.2019.121286>, DMCA cross-correlation coefficient and
 Detrended multiple cross-correlation coefficient (DMC), GUEDES & SILVA-FILHO
 & ZEBENDE (2018) <doi:10.1016/j.physa.2021.125990>, both with sliding
 windows approach.

Package: r-cran-slim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-mass
Suggests: r-cran-lme4, r-cran-jmcm, r-cran-gee, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slim_0.1.1-1.ca2004.1_all.deb
Size: 322668
MD5sum: 6d8200400f814f36d8f2b83cd5a6a1ca
SHA1: b7f3e2b2fe4586975e63e61ad0e4e4043c607b62
SHA256: 2fd3943eb670fe3742ec2ee3bd6321b03fe0afa00060eacb16d127f518faab70
SHA512: 150b89d24e789e3e2ebf8022484fd8556b3575a791ab3ef1b56725a9154e0024f492e7a5c49d0ba72d8574bf30676cbced688012925f0e52ddee024b0edbd6a8
Homepage: https://cran.r-project.org/package=slim
Description: CRAN Package 'slim' (Singular Linear Models for Longitudinal Data)
 Fits singular linear models to longitudinal data. Singular linear models are
 useful when the number, or timing, of longitudinal observations may be
 informative about the observations themselves. They are described in
 Farewell (2010) <doi:10.1093/biomet/asp068>, and are extensions of the
 linear increments model <doi:10.1111/j.1467-9876.2007.00590.x> to general
 longitudinal data.

Package: r-cran-slimrec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-matrix, r-cran-glmnet, r-cran-bigmemory, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-slimrec_0.1.0-1.ca2004.1_all.deb
Size: 130888
MD5sum: fb3779dd8bf2dac3f20275cf43b3e28e
SHA1: 3d4a97368e5abd8f4c2e350889d01678f2f0131d
SHA256: 44c404bca612f3e8096deeba99e5a6eb985c07a9bdd19248d22ec74c38ee19af
SHA512: aa83d0dc65bf5b1677c6cdb4153ba8882177c23f9e5b7eccd819afe780f0608c728e13593f37f19f1fa00931a256d54b34c105e073ace59a6cf6032e84465bc4
Homepage: https://cran.r-project.org/package=slimrec
Description: CRAN Package 'slimrec' (Sparse Linear Method to Predict Ratings and Top-NRecommendations)
 Sparse Linear Method(SLIM) predicts ratings and top-n recommendations suited
 for sparse implicit positive feedback systems. SLIM is decomposed into
 multiple elasticnet optimization problems which are solved in parallel over
 multiple cores. The package is based on "SLIM: Sparse Linear Methods for
 Top-N Recommender Systems" by Xia Ning and George Karypis
 <doi:10.1109/ICDM.2011.134>.

Package: r-cran-slippymath
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-purrr, r-cran-png
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slippymath_0.3.1-1.ca2004.1_all.deb
Size: 2250484
MD5sum: 28fe6955e0b4bdf435dfa173784fc2cb
SHA1: e9eabdfc8ab7f53d7fe3d4cf4e189ade91cf966f
SHA256: 1de0a7f68f2e20bada4e640c190ac10f1977c05ba29eda8bbe09d25477a166f9
SHA512: baecf195990700eb2109e815acaab0f84e63831576499f5796fdff71c5a0f59f06c6b8315908e33bf4e8eeff2839e7ae38b1d358a7c0a1bc5baf93b9bff70f18
Homepage: https://cran.r-project.org/package=slippymath
Description: CRAN Package 'slippymath' (Slippy Map Tile Tools)
 Provides functions for performing common tasks when working with slippy map
 tile service APIs e.g. Google maps, Open Street Map, Mapbox, Stamen, among
 others. Functionality includes converting from latitude and longitude to
 tile numbers, determining tile bounding boxes, and compositing tiles to a
 georeferenced raster image.

Package: r-cran-slm
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltsa, r-cran-capushe, r-cran-sandwich, r-cran-expm
Filename: pool/dists/focal/main/r-cran-slm_1.2.0-1.ca2004.1_all.deb
Size: 161768
MD5sum: 44424b704e578bcbb4916e13f15e1fe6
SHA1: 936c17b4ab08d854abdb85f9adb35e101e28a7c5
SHA256: 0d44cf207fd1db6d6bd26934baada48d545e2230e245a1cd981170fce445890f
SHA512: 52df58a370ea9b67c51f6597b9a32b3a439c7d358d723c0152873b2b29e1c9e57667b4d858094b9ab566c222305238cd3049cc814aa266c2bc3e7669b1953e27
Homepage: https://cran.r-project.org/package=slm
Description: CRAN Package 'slm' (Stationary Linear Models)
 Provides statistical procedures for linear regression in the general context
 where the errors are assumed to be correlated. Different ways to estimate
 the asymptotic covariance matrix of the least squares estimators are
 available. Starting from this estimation of the covariance matrix, the
 confidence intervals and the usual tests on the parameters are modified. The
 functions of this package are very similar to those of 'lm': it contains
 methods such as summary(), plot(), confint() and predict(). The 'slm'
 package is described in the paper by E. Caron, J. Dedecker and B. Michel
 (2019), "Linear regression with stationary errors: the R package slm", arXiv
 preprint <arXiv:1906.06583>.

Package: r-cran-slmodels
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-slmodels_0.1.2-1.ca2004.1_all.deb
Size: 28208
MD5sum: da3f4da306aff41735fc56eff3c8167f
SHA1: 8c0ef371ac65f8b70afd90f35c4133f27011ad70
SHA256: 1450c5d0441a2e45d2dfebc64864bd1822ce99d2b2857c831e6817d428c80236
SHA512: a10d8846db7690d5d5d379f39a767e3b9f07148de649be85d75e948b3174ee31b5bd95c2e8d0b8030bed14570e27f35816658226a03a8f43cabc8be9ccaee6f1
Homepage: https://cran.r-project.org/package=SLModels
Description: CRAN Package 'SLModels' (Stepwise Linear Models for Binary Classification Problems underYouden Index Optimisation)
 Stepwise models for the optimal linear combination of continuous variables
 in binary classification problems under Youden Index optimisation.
 Information on the models implemented can be found at Aznar-Gimeno et al.
 (2021) <doi:10.3390/math9192497>.

Package: r-cran-sloop
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-codetools, r-cran-crayon, r-cran-purrr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sloop_1.0.1-1.ca2004.1_all.deb
Size: 42512
MD5sum: 0e5ee5a11ffdea239c05da1b5094bc1e
SHA1: dd8aeaf98e2e92046eb0e2ad5a900dcf2780a8c4
SHA256: a0f98070d4219df2b4cf3fd710269ed22010183e8c2c57ffb25d6112074bd459
SHA512: 4f56945b30643d3e620b4ae2fbaafdd9c26b3d8530c7ebeef959ba4292bbb47518c4c530c97a9d9af46a9d70c2b6f4d55da4c03ced82dfe9954c6fd4e7ad40ec
Homepage: https://cran.r-project.org/package=sloop
Description: CRAN Package 'sloop' (Helpers for 'OOP' in R)
 A collection of helper functions designed to help you to better understand
 object oriented programming in R, particularly using 'S3'.

Package: r-cran-slopes
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1490
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-raster, r-cran-pbapply, r-cran-geodist, r-cran-colorspace
Suggests: r-cran-terra, r-cran-knitr, r-cran-rmarkdown, r-cran-ceramic, r-cran-bookdown, r-cran-covr, r-cran-testthat, r-cran-osmextract, r-cran-stplanr, r-cran-dplyr, r-cran-tmap, r-cran-leaflet, r-cran-bench, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-slopes_1.0.1-1.ca2004.1_all.deb
Size: 1065168
MD5sum: 876df399f53b1f8e2813ce837c6f5986
SHA1: 256fdaa256e33b4a45f287aa3dcc7f72acbec0bd
SHA256: c2cdc7a85b3660c98548b76d2cbe02260f880f854781e3217ce8c1052ab9f90e
SHA512: 64137a57f82408342c9d0a3ecb0ab3098a87f1f6e7cd1c072c7e2f4de982233b153692df780c771905a6c4d61076c8608a43fdd54ddf14bb30cfab88aa2c588a
Homepage: https://cran.r-project.org/package=slopes
Description: CRAN Package 'slopes' (Calculate Slopes of Roads, Rivers and Trajectories)
 Calculates the slope (longitudinal gradient or steepness) of linear
 geographic features such as roads (for more details, see Ariza-López et al.
 (2019) <doi:10.1038/s41597-019-0147-x>) and rivers (for more details, see
 Cohen et al. (2018) <doi:10.1016/j.jhydrol.2018.06.066>). It can use local
 Digital Elevation Model (DEM) data or download DEM data via the 'ceramic'
 package. The package also provides functions to add elevation data to
 linestrings and visualize elevation profiles.

Package: r-cran-slos
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-mlmetrics, r-cran-ems, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-caretensemble, r-cran-ranger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slos_1.0.1-1.ca2004.1_all.deb
Size: 51144
MD5sum: dc5ac34d8d07d8fa78d72a5b6cc44da6
SHA1: d083c044ee6fbdc9bc3d6012c1ad1e0d1de7919d
SHA256: 543e00037c9b3c8d09c42e326ccd691eecbb9d222e358e092503f955f46c8ae1
SHA512: dbec1a6ec7f288e7466b03d09257624c1dcb6eba75ad9fe8829124570a2f7b80595d795f454cc86896deceeae7065b71bbb3a1a592bcd08c5fb9ba3d7b5c6558
Homepage: https://cran.r-project.org/package=SLOS
Description: CRAN Package 'SLOS' (ICU Length of Stay Prediction and Efficiency Evaluation)
 Provides tools for predicting ICU length of stay and assessing ICU
 efficiency.  It is based on the methodologies proposed by Peres et al.
 (2022, 2023), which utilize data-driven approaches for modeling and
 validation, offering insights into ICU performance and patient outcomes.
 References: Peres et al. (2022)<https://pubmed.ncbi.nlm.nih.gov/35988701/>,
 Peres et al. (2023)<https://pubmed.ncbi.nlm.nih.gov/37922007/>.  More
 information: <https://github.com/igor-peres/ICU-Length-of-Stay-Prediction>.

Package: r-cran-slouch
Architecture: all
Version: 2.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1716
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-ape, r-cran-memoise
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slouch_2.1.5-1.ca2004.1_all.deb
Size: 954616
MD5sum: 0b67d35fe0494eb5971f966744ff940d
SHA1: 5905128dd414079e66bcc4c6520461a7aff43573
SHA256: e44a960c31fb0378768c977662a46f9765b845df02af492c864c13b43918569d
SHA512: ee3064d1e5f0b4bcb27a5bb171e1483adcdec9edfabc5fa17feacabc813e26decd0ea5aa09dfab45e35d883b25ee0ecc926458215728ac41fd6ef30e5eb69716
Homepage: https://cran.r-project.org/package=slouch
Description: CRAN Package 'slouch' (Stochastic Linear Ornstein-Uhlenbeck Comparative Hypotheses)
 An implementation of a phylogenetic comparative method. It can fit
 univariate among-species Ornstein-Uhlenbeck models of phenotypic trait
 evolution, where the trait evolves towards a primary optimum. The optimum
 can be modelled as a single parameter, as multiple discrete regimes on the
 phylogenetic tree, and/or with continuous covariates. See also Hansen (1997)
 <doi:10.2307/2411186>, Butler & King (2004) <doi:10.1086/426002>, Hansen et
 al. (2008) <doi:10.1111/j.1558-5646.2008.00412.x>.

Package: r-cran-slowraker
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-snowballc, r-cran-nlp, r-cran-opennlp
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slowraker_0.1.1-1.ca2004.1_all.deb
Size: 64384
MD5sum: 22c9982ebba0b7292a2fe84dcd0f7454
SHA1: 2be6e8a7c470d3957672511e453134838b2228a0
SHA256: 1de96086427f13f210fce2cef22af307ede56c7f7a433f44634d0b3be5aa21a4
SHA512: 6190ad104807fec39a8eb03a88e38110590f48d443e62f0b08d25d758518c7bcef1329e75f6f5e5d75708f5c50a97ab0dcb2cee0d194e296808fafd8b6d28d08
Homepage: https://cran.r-project.org/package=slowraker
Description: CRAN Package 'slowraker' (A Slow Version of the Rapid Automatic Keyword Extraction (RAKE)Algorithm)
 A mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D.,
 Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can
 be used to extract keywords from documents without any training data.

Package: r-cran-slpreselection
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 394
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-slpreselection_1.0.0-1.ca2004.1_all.deb
Size: 314228
MD5sum: 75c426c455739d72788144fa312f8144
SHA1: f99340637b91b9187b190f3be7a34984211f123a
SHA256: b83833ae13c8065527adf6b9dee847cef97cea9c45e7de5f42b82246e270455e
SHA512: 17ab7bad3f23ce8cd5d8b8e6459b9fd59d3a302597c2a34f68cd5c692e98e840845a3f63374b408b7e1ed57e5b9f71567e65ffbd04ee5ecddcffae64fefeddf9
Homepage: https://cran.r-project.org/package=SLPresElection
Description: CRAN Package 'SLPresElection' (Presidential Election Data of "Sri Lanka" from 1982 to 2015)
 Presidential Election data of "Sri Lanka"" is stored in Pdf files, through
 Pdf scraping they are converted into data-frames and stored in this R
 package.

Package: r-cran-slr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-ibd, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-slr_1.3.0-1.ca2004.1_all.deb
Size: 61568
MD5sum: 5074661c287d03e5f6f7b63fff1da428
SHA1: 66c40a18972ac9c137b482a19d6cb5f258048d92
SHA256: c162eb70ff39aed7d8cb1d2472ec23f10c597dddaa0a6232704cc11d6eb9c453
SHA512: cb694020e45d094fc0d2546b95062bac30184dd6b3348cdec1555920687e20a526aafad4c036484c821e5f76a3bedd6e76ed1b3f7394d48c4e5a58d37d05cadb
Homepage: https://cran.r-project.org/package=slr
Description: CRAN Package 'slr' (Semi-Latin Rectangles)
 A facility to generate balanced semi-Latin rectangles with any cell size
 (preferably up to ten) with given number of treatments, see Uto, N.P. and
 Bailey, R.A. (2020). "Balanced Semi-Latin rectangles: properties, existence
 and constructions for block size two". Journal of Statistical Theory and
 Practice, 14(3), 1-11, <doi:10.1007/s42519-020-00118-3>. It also provides
 facility to generate partially balanced semi-Latin rectangles for cell size
 2, 3 and 4 for any number of treatments.

Package: r-cran-slsedesign
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cvxr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-slsedesign_0.0.5-1.ca2004.1_all.deb
Size: 118732
MD5sum: d1bb11dba095c540985d69c3ad1f194a
SHA1: 131a090ea1d4c39769f6e07eacdf5f7bd853c610
SHA256: e9bc2de31bddb97f72e0c9c139302bda7d80ce009e6f6005e1569e869f78ce4c
SHA512: ddc1edc5f6e5734edfc58ed6dfd5bc21f333488372f8a7d18c9105370608827fa73428c0f63800baab21854a85bc9e34b070dd3f4bbb60dc7fec19557b529a94
Homepage: https://cran.r-project.org/package=SLSEdesign
Description: CRAN Package 'SLSEdesign' (Optimal Regression Design under the Second-Order Least SquaresEstimator)
 With given inputs that include number of points, discrete design space, a
 measure of skewness, models and parameter value, this package calculates the
 objective value, optimal designs and plot the equivalence theory under A-
 and D-optimal criteria under the second-order Least squares estimator. This
 package is based on the paper "Properties of optimal regression designs
 under the second-order least squares estimator" by Chi-Kuang Yeh and Julie
 Zhou (2021) <doi:10.1007/s00362-018-01076-6>.

Package: r-cran-sltca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geepack, r-cran-vgam, r-cran-matrix, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sltca_0.1.0-1.ca2004.1_all.deb
Size: 63512
MD5sum: 29593e43ef4b6abf3b7c59c435fe2967
SHA1: 811c0dcd156c0f04e56ad48f1c90c1f1b22015ed
SHA256: c6fd939c342df6b5313dad06afc666e0a5ae3f69b4c15cd7d655cfab6b2c9909
SHA512: 83ab28a65cded490606ec1f0ff33691dbc4783641b8b657ceada70d1276dd6ca865a804a901c4f5e2d7dc488d6957b6a4a630209142703f2b374e005db127678
Homepage: https://cran.r-project.org/package=SLTCA
Description: CRAN Package 'SLTCA' (Scalable and Robust Latent Trajectory Class Analysis)
 Conduct latent trajectory class analysis with longitudinal data. Our method
 supports longitudinal continuous, binary and count data. For more
 methodological details, please refer to Hart, K.R., Fei, T. and Hanfelt,
 J.J. (2020), Scalable and robust latent trajectory class analysis using
 artificial likelihood. Biometrics <doi:10.1111/biom.13366>.

Package: r-cran-slurm
Architecture: all
Version: 2025.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1018
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-nc
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-slurm_2025.4.9-1.ca2004.1_all.deb
Size: 91292
MD5sum: b55b4561a0646416681aa6f340139f4e
SHA1: 063a443142e65a540efa35325164caadca531105
SHA256: 342ce9ff2cda377baf1e08b50e258a1f423d3689fa09f07e622d3277f709027b
SHA512: bcf2b4eaa7a12e395b8fbe6503a2f08b5ec8b9efc48e6cda6066feafadbec937013a622a1ed0aeecf79819228244f966bf13d82448d162d89ae84fe8b2610af8
Homepage: https://cran.r-project.org/package=slurm
Description: CRAN Package 'slurm' (Running and Parsing Slurm Commands)
 User-friendly functions which parse output of command line programs used to
 query Slurm.  Morris A. Jette and Tim Wickberg (2023)
 <doi:10.1007/978-3-031-43943-8_1> describe Slurm in detail.

Package: r-cran-slurmr
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 473
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-slurmr_0.5-4-1.ca2004.1_all.deb
Size: 277948
MD5sum: 8f26aa8f4326705a49ab8f1a5e57231b
SHA1: 00e2a485ec96c99d5c8fad36a4218ad17c98ed7b
SHA256: 0fbdecd2dff49295bc2351c9a104ca594ad39b6245640938aa4e928a838f9b70
SHA512: 108c9cdafb8e9cacde6968b31f856fd7c3641bd359f37c73b6c8d9fba107d73b9905e8c1c1738b482de1d438970ea2a93a41bba879756f89a912d20169a903cc
Homepage: https://cran.r-project.org/package=slurmR
Description: CRAN Package 'slurmR' (A Lightweight Wrapper for 'Slurm')
 'Slurm', Simple Linux Utility for Resource Management
 <https://slurm.schedmd.com/>, is a popular 'Linux' based software used to
 schedule jobs in 'HPC' (High Performance Computing) clusters. This R package
 provides a specialized lightweight wrapper of 'Slurm' with a syntax similar
 to that found in the 'parallel' R package. The package also includes a
 method for creating socket cluster objects spanning multiple nodes that can
 be used with the 'parallel' package.

Package: r-cran-smacofx
Architecture: all
Version: 1.20-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-smacof, r-cran-mass, r-cran-minqa, r-cran-plotrix, r-cran-projectionbasedclustering, r-cran-weights, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-smacofx_1.20-1-1.ca2004.1_all.deb
Size: 718384
MD5sum: 62c15d5a5504f19e39e493160e0d477b
SHA1: 78744b1a12a39d2d1609b3e59ee0f2856f161825
SHA256: 27ee73d0e7bd27e4f026f941afaa56b6bafe4464bb5d7641d23b49a199d702e0
SHA512: 288773bd4b530006da4ed3160a4430b10d8d568d229f90edb1f447ab8296a5a91a32b778a7239772c75e548037b5c9d9ca1e6a5ddf026d96f22becd4851b47dd
Homepage: https://cran.r-project.org/package=smacofx
Description: CRAN Package 'smacofx' (Flexible Multidimensional Scaling and 'smacof' Extensions)
 Flexible multidimensional scaling (MDS) methods and extensions to the
 package 'smacof'. This package contains various functions, wrappers, methods
 and classes for fitting, plotting and displaying a large number of different
 flexible MDS models. These are: Torgerson scaling (Torgerson, 1958,
 ISBN:978-0471879459) with powers, Sammon mapping (Sammon, 1969,
 <doi:10.1109/T-C.1969.222678>) with ratio and interval optimal scaling,
 Multiscale MDS (Ramsay, 1977, <doi:10.1007/BF02294052>) with ratio and
 interval optimal scaling, s-stress MDS (ALSCAL; Takane, Young & De Leeuw,
 1977, <doi:10.1007/BF02293745>) with ratio and interval optimal scaling,
 elastic scaling (McGee, 1966, <doi:10.1111/j.2044-8317.1966.tb00367.x>) with
 ratio and interval optimal scaling, r-stress MDS (De Leeuw, Groenen & Mair,
 2016, <https://rpubs.com/deleeuw/142619>) with ratio, interval, splines and
 nonmetric optimal scaling, power-stress MDS (POST-MDS; Buja & Swayne, 2002
 <doi:10.1007/s00357-001-0031-0>) with ratio and interval optimal scaling,
 restricted power-stress (Rusch, Mair & Hornik, 2021,
 <doi:10.1080/10618600.2020.1869027>) with ratio and interval optimal
 scaling, approximate power-stress with ratio optimal scaling (Rusch, Mair &
 Hornik, 2021, <doi:10.1080/10618600.2020.1869027>), Box-Cox MDS (Chen &
 Buja, 2013, <https://jmlr.org/papers/v14/chen13a.html>), local MDS (Chen &
 Buja, 2009, <doi:10.1198/jasa.2009.0111>), curvilinear component analysis
 (Demartines & Herault, 1997, <doi:10.1109/72.554199>), curvilinear distance
 analysis (Lee, Lendasse & Verleysen, 2004,
 <doi:10.1016/j.neucom.2004.01.007>), nonlinear MDS with optimal
 dissimilarity powers functions (De Leeuw, 2024,
 <https://github.com/deleeuw/smacofManual/blob/main/smacofPO(power)/smacofPO.pdf>),
 sparsified (power) MDS and sparsified multidimensional (power) distance
 analysis aka extended curvilinear (power) component analysis and extended
 curvilinear (power) distance analysis (Rusch, 2024,
 <doi:10.57938/355bf835-ddb7-42f4-8b85-129799fc240e>). Some functions are
 suitably flexible to allow any other sensible combination of explicit power
 transformations for weights, distances and input proximities with implicit
 ratio, interval, splines or nonmetric optimal scaling of the input
 proximities. Most functions use a Majorization-Minimization algorithm.
 Currently the methods are only available for one-mode two-way data
 (symmetric dissimilarity matrices).

Package: r-cran-smacpod
Architecture: all
Version: 2.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-smerc, r-cran-plotrix, r-cran-abind, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smacpod_2.6.4-1.ca2004.1_all.deb
Size: 270960
MD5sum: bc711aa5a3d9e105f96d93a846165683
SHA1: 3f6af2632bb190e7149ad23c9987e42eb71a3434
SHA256: 0d9be27c064ed4f753dc64c6d4617b6a708f47ff627259a668a23b2459bec2fe
SHA512: 6aa7cd290b9e257f693c45bc7d2679073f1c92ae7858a8997e517200c0cc7e246038823daa7f31e15ddddc59470ac0dcc075870a58e8b1f4da59f55701038b07
Homepage: https://cran.r-project.org/package=smacpod
Description: CRAN Package 'smacpod' (Statistical Methods for the Analysis of Case-Control Point Data)
 Statistical methods for analyzing case-control point data.  Methods include
 the ratio of kernel densities, the difference in K Functions, the spatial
 scan statistic, and q nearest neighbors of cases.

Package: r-cran-smahp
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fdrtool, r-cran-ncvreg, r-cran-penaft, r-cran-survival, r-cran-glmnet
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smahp_0.0.5-1.ca2004.1_all.deb
Size: 161868
MD5sum: 8b37069f7ce63e66f309ba84367d7d58
SHA1: b4db008ee6984d6fe4443fcb3d0ea1a5d082ae72
SHA256: 0b1e129c0918937f22ba30320e469d8bdabc9088a9a9aa261f802bf17292ada3
SHA512: 55327ea1d9c3c0509765c1a015099309825e919c5a742606ab02c4d32188871bd3614f3eb184260ccc3511577fee3102ebb1403efb78d92c5a416de1beea850a
Homepage: https://cran.r-project.org/package=SMAHP
Description: CRAN Package 'SMAHP' (Survival Mediation Analysis of High-Dimensional ProteogenomicData)
 SMAHP (pronounced as SOO-MAP) is a novel multi-omics framework for causal
 mediation analysis of high-dimensional proteogenomic data with survival
 outcomes. The full methodological details can be found in our recent
 preprint by Ahn S et al. (2025) <doi:10.48550/arXiv.2503.08606>.

Package: r-cran-smallarea
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-smallarea_0.1-1.ca2004.1_all.deb
Size: 290320
MD5sum: fb677b3ae77543403fc964c0019a616b
SHA1: c98faca0ff173d8501d4b5e814f81e9e4fafed14
SHA256: 08797d4a61f2bee3e2b6f2c25e8275485e71fd62968a43dc585eac0de2eaac4d
SHA512: 3cb9794f85e22aed52c1f8d459851cd2d2f79ceb16344e53663bd4e946b6d80737653a58695555258845d4569ab12976ac17e64b35fa716383df9ae589510200
Homepage: https://cran.r-project.org/package=smallarea
Description: CRAN Package 'smallarea' (Fits a Fay Herriot Model)
 Inference techniques for Fay Herriot Model.

Package: r-cran-smallcountrounding
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-ssbtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-sdchierarchies, r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-smallcountrounding_1.2.0-1.ca2004.1_all.deb
Size: 188696
MD5sum: ffee84e2711a94bed03cfa7165623b79
SHA1: 0555bef8b41d0ca668cdea08191d36d6e84c975a
SHA256: 877b46631b44e11577f23655eb8d22206c7bf4818b95038777587b94f05169ca
SHA512: 998c3bb7c9d60c17b4cdb330017403a5ddcfa68ce13fc4fde0b4ca7cca3fe5f263cb9c84f88dbdad8958b5cca25b6f350b921550cf6519ed81d6f5d6fbbf4e18
Homepage: https://cran.r-project.org/package=SmallCountRounding
Description: CRAN Package 'SmallCountRounding' (Small Count Rounding of Tabular Data)
 A statistical disclosure control tool to protect frequency tables in cases
 where small values are sensitive. The function PLSrounding() performs small
 count rounding of necessary inner cells so that all small frequencies of
 cross-classifications to be published (publishable cells) are rounded. This
 is equivalent to changing micro data since frequencies of unique
 combinations are changed. Thus, additivity and consistency are guaranteed.
 The methodology is described in Langsrud and Heldal (2018)
 <https://www.researchgate.net/publication/327768398_An_Algorithm_for_Small_Count_Rounding_of_Tabular_Data>.

Package: r-cran-smallsets
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1607
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-callr, r-cran-colorspace, r-cran-flextable, r-cran-ggplot2, r-cran-ggtext, r-cran-knitr, r-cran-patchwork, r-cran-plotrix, r-cran-reticulate, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smallsets_2.0.0-1.ca2004.1_all.deb
Size: 1090464
MD5sum: 8d48f79b634db082c922ccf2ccc8f110
SHA1: 72287aaa81b0c57418b5b58408021cff664a7815
SHA256: f12c825d75575ed84b73e291e1952dd5e14a88f7bd251ef253651c7135abd0a5
SHA512: dfd3edceed1e5ef1874bc7ceb3adceb98f4a793b3ef5ef2e9abc6a436bd8e3f808ee1f2a62296e0f9020d13c7926fe80ae81984ccc62bb343a87ac4c37f9c4c8
Homepage: https://cran.r-project.org/package=smallsets
Description: CRAN Package 'smallsets' (Visual Documentation for Data Preprocessing)
 Data practitioners regularly use the 'R' and 'Python' programming languages
 to prepare data for analyses. Thus, they encode important data preprocessing
 decisions in 'R' and 'Python' code. The 'smallsets' package subsequently
 decodes these decisions into a Smallset Timeline, a static, compact
 visualisation of data preprocessing decisions (Lucchesi et al. (2022)
 <doi:10.1145/3531146.3533175>). The visualisation consists of small data
 snapshots of different preprocessing steps. The 'smallsets' package builds
 this visualisation from a user's dataset and preprocessing code located in
 an 'R', 'R Markdown', 'Python', or 'Jupyter Notebook' file. Users simply add
 structured comments with snapshot instructions to the preprocessing code.
 One optional feature in 'smallsets' requires installation of the 'Gurobi'
 optimisation software and 'gurobi' 'R' package, available from
 <https://www.gurobi.com>. More information regarding the optional feature
 and 'gurobi' installation can be found in the 'smallsets' vignette.

Package: r-cran-smallstuff
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-matlib, r-cran-pryr, r-cran-class, r-cran-igraph, r-cran-rocr, r-cran-data.table
Suggests: r-cran-leaps, r-cran-faraway
Filename: pool/dists/focal/main/r-cran-smallstuff_1.0.5-1.ca2004.1_all.deb
Size: 115796
MD5sum: 45e622ddce840eea6df0f816c70b2ec8
SHA1: 9eb3c311e9573f143b05238ce8acbac2e139863d
SHA256: 6eb5f0219874fbb0664d80aa57c925c4014e9daf11468d692a86a16e115b027b
SHA512: da98f23d18422107b2438b5a7798c3b1b07a58a11296f455b71fd23a66476bb0c768afafb1f78b8e6546620b69541cabba6ab1fc78dde0c0b4c57750854ed0a9
Homepage: https://cran.r-project.org/package=smallstuff
Description: CRAN Package 'smallstuff' (Dr. Small's Functions)
 Functions used in courses taught by Dr. Small at Drew University.

Package: r-cran-smapr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rappdirs, r-cran-raster, r-cran-rvest, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rgdal, r-cran-rmarkdown, r-cran-roxygen2, r-cran-sp, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-smapr_0.2.1-1.ca2004.1_all.deb
Size: 709904
MD5sum: db115f3e43acef9aad7cc43829ae65ee
SHA1: 153da204b1a53bfb9f5b24cff6d794a5300f0f72
SHA256: fc1922d972b6612f7c4725801bf2287b4350d71682edb9154ce2edbc96643c7b
SHA512: d656b8dd4f630cf9502d2a82e74d4bce59503816af20fb3fabefbce94ab0baee3871b0e45b460e9771d74e4bd1dec1e99d8f8e5c88221e83d398c1a741e22e28
Homepage: https://cran.r-project.org/package=smapr
Description: CRAN Package 'smapr' (Acquisition and Processing of NASA Soil Moisture Active-Passive(SMAP) Data)
 Facilitates programmatic access to NASA Soil Moisture Active Passive (SMAP)
 data with R. It includes functions to search for, acquire, and extract SMAP
 data.

Package: r-cran-smartar
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smartar_1.1.0-1.ca2004.1_all.deb
Size: 216772
MD5sum: 6764287ed20e8ecf680c7e0d76a72c34
SHA1: 42955406eb6b95a25043e44312ce5dfa3359fbeb
SHA256: 0b35966b717e227efc00771dd8d0f205778e6b3d631833ea3a97c284e5ffb7ca
SHA512: 626a3fe1f7445ecb7aad6e229638b7c2cbe379c2e27a3f6cadbe89289ac78f81434f3adbb289a76b5e8a123f99dee044ff801e75bed34f3953c668be05da2a76
Homepage: https://cran.r-project.org/package=SMARTAR
Description: CRAN Package 'SMARTAR' (Sequential Multiple Assignment Randomized Trial and AdaptiveRandomization)
 Primary data analysis for sequential multiple assignment randomization trial
 (SMART) and calibration tools for clinical trial planning purposes. \n The
 methods used for this package include: \n (1) Likelihood-based global test
 (hypothesis test, power calculation) by in Zhong X., Cheng, B., Qian M.,
 Cheung Y.K. (2019) <doi: 10.1016/j.cct.2019.105830>. \n (2) IPWE-based
 global test (hypotehsis test, power calculation) by Ogbagaber S.B., Karp J.,
 Wahed A.S. (2016) <doi:10.1002/sim.6747>. \n (3) G estimates (pairwise
 comparison, power calculation) by Lavori R., Dawson P.W. (2012) <doi:
 10.1093/biostatistics/kxr016>. \n (4) IPW estimates (pairwise comparison,
 power calculation) by Murphy S.A. (2005) <doi: 10.1002/sim.2022>. \n (5)
 SAMRT with adaptive randomization by Cheung Y.K. (2015) <doi:
 10.1111/biom.12258>.

Package: r-cran-smartbayesr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-laplacesdemon
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smartbayesr_2.0.0-1.ca2004.1_all.deb
Size: 99656
MD5sum: 3deea74b1a3cb269d0ebb2992477a197
SHA1: 8840b7546ad93e7e6cac6a7ba24ee48ea027a1f3
SHA256: 7ae03f8675d9377084e8502ca9dc0a7377f9913792642a4430a4d1f4b77409f5
SHA512: 996367821b51e52b8ff4a90cc6e7ad71b96352b99dfbd69e3ce643424e33235808c25c681692d719c65340192499ede0837a430644837f81677e64d25821cd1e
Homepage: https://cran.r-project.org/package=SMARTbayesR
Description: CRAN Package 'SMARTbayesR' (Bayesian Set of Best Dynamic Treatment Regimes and Sample Sizein SMARTs for Binary Outcomes)
 Permits determination of a set of optimal dynamic treatment regimes and
 sample size for a SMART design in the Bayesian setting with binary outcomes.
 Please see Artman (2020) <arXiv:2008.02341>.

Package: r-cran-smartdesign
Architecture: all
Version: 0.74-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 588
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smartdesign_0.74-1.ca2004.1_all.deb
Size: 343984
MD5sum: cc9b7e4664cfbfe4b57b9d985ecfbf4a
SHA1: 7f7af3a458d958c6a4df68c633789889d892e43a
SHA256: 20a81b27cbcade0a5070e6b23b75f193bf9d9a2cfeb20d10f0dc98169c09ef33
SHA512: bcdc887aad63178ec5a54c99dae3974c601bdc7e9964ad894718202f3bb928064d2f3ccfc26df96fc3e3a2de57e51a0aeece53d8a2f1bf64ad7a78bf39b26fb5
Homepage: https://cran.r-project.org/package=smartDesign
Description: CRAN Package 'smartDesign' (Sequential Multiple Assignment Randomized Trial Design)
 SMART trial design, as described by He, J., McClish, D., Sabo, R. (2021)
 <doi:10.1080/19466315.2021.1883472>, includes multiple stages of
 randomization, where participants are randomized to an initial treatment in
 the first stage and then subsequently re-randomized between treatments in
 the following stage.

Package: r-cran-smarteda
Architecture: all
Version: 0.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2335
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-sampling, r-cran-scales, r-cran-rmarkdown, r-cran-islr, r-cran-data.table, r-cran-gridextra, r-cran-ggally, r-cran-qpdf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-covr, r-cran-psych
Filename: pool/dists/focal/main/r-cran-smarteda_0.3.10-1.ca2004.1_all.deb
Size: 1733452
MD5sum: f7710e16c1f7b7fa0a18bf63243057f0
SHA1: 8aac1f8e47ceae8cead05d62a340350dbb08b417
SHA256: 7fc8ef5681fd1244dd271b88143a06eab56ecde36332b61927c2dedd1418130f
SHA512: 6b6077b972e0f6ad4a90dfd5416b6f7e8f116664328a45e09e34353adb1cca9090519058d6b341940b92037361d71df514d08c15cf52143fc113aa3e9c2a92ab
Homepage: https://cran.r-project.org/package=SmartEDA
Description: CRAN Package 'SmartEDA' (Summarize and Explore the Data)
 Exploratory analysis on any input data describing the structure and the
 relationships present in the data. The package automatically select the
 variable and does related descriptive statistics. Analyzing information
 value, weight of evidence, custom tables, summary statistics, graphical
 techniques will be performed for both numeric and categorical predictors.

Package: r-cran-smarterpoland
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4318
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-httr, r-cran-htmltools, r-cran-jsonlite, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-smarterpoland_1.8.1-1.ca2004.1_all.deb
Size: 4389312
MD5sum: ed7599ce4f2b8f0bb7f43f5ec1e7703a
SHA1: a796545f4ffdf5b2bf6b94dc5b51fc932c762369
SHA256: 05f91612f02fcf2ee15c1d5f25c39b92877b2a69f721c53deda81fab090ca2f5
SHA512: 6f38cf85a71be7de0f926532f2ec4b0c778ce8ed6f845caa8e37a7e294bedd5f72eaea88e8726b564946c0c898b393e132de13aa5601b8621d6c61377623b21c
Homepage: https://cran.r-project.org/package=SmarterPoland
Description: CRAN Package 'SmarterPoland' (Tools for Accessing Various Datasets Developed by the FoundationSmarterPoland.pl)
 Tools for accessing and processing datasets prepared by the Foundation
 SmarterPoland.pl. Among all: access to API of Google Maps, Central
 Statistical Office of Poland, MojePanstwo, Eurostat, WHO and other sources.

Package: r-cran-smartmap
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-leaflet, r-cran-magrittr, r-cran-sf
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smartmap_0.1.1-1.ca2004.1_all.deb
Size: 70672
MD5sum: d9539a6edbae4abf70deb60b1421bf6a
SHA1: e06d924c0250fe8c6e7f7ea7d5c7437ea01879dd
SHA256: d8c4c1630846f0eea04fb12aef9292654205b8695d8acdf1030471afb9cad764
SHA512: cc86ae0f64fede607d500d6706bd3f172ce8fc633661c2519fc3b88adc4625e988f94c471e068df0803123710e609ab341a4c1eda98d709ba81a799113288798
Homepage: https://cran.r-project.org/package=smartmap
Description: CRAN Package 'smartmap' (Smartly Create Maps from R Objects)
 Preview spatial data as 'leaflet' maps with minimal effort. smartmap is
 optimized for interactive use and distinguishes itself from similar packages
 because it does not need real spatial ('sp' or 'sf') objects an input;
 instead, it tries to automatically coerce everything that looks like spatial
 data to sf objects or leaflet maps. It - for example - supports direct
 mapping of: a vector containing a single coordinate pair, a two column
 matrix, a data.frame with longitude and latitude columns, or the path or URL
 to a (possibly compressed) 'shapefile'.

Package: r-cran-smartmeteranalytics
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 193
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-futile.logger, r-cran-fnn, r-cran-stinepack, r-cran-zoo
Suggests: r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-rocr, r-cran-randomforest, r-cran-caret, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-smartmeteranalytics_1.1.1-1.ca2004.1_all.deb
Size: 158564
MD5sum: 0cc3ce6a57c1a394fb88c8547e7053ce
SHA1: 9935e8b0833c8e435091582b5ebc3daa86e459d4
SHA256: a9e7ad8ac3ff2c3f776a57b708e76a506e720f0e45e03087d2a3ac8273490cae
SHA512: 0771f8f0dc5b2efb80bd498b7df19fcc934eae2362f362553b9a1cb105c10a4dc2e8eb032d340e6680c5d0f848461a1391cac9fbb7344a32651d097554a21bac
Homepage: https://cran.r-project.org/package=SmartMeterAnalytics
Description: CRAN Package 'SmartMeterAnalytics' (Methods for Smart Meter Data Analysis)
 Methods for analysis of energy consumption data (electricity, gas, water) at
 different data measurement intervals. The package provides feature
 extraction methods and algorithms to prepare data for data mining and
 machine learning applications. Deatiled descriptions of the methods and
 their application can be found in Hopf (2019, ISBN:978-3-86309-669-4)
 "Predictive Analytics for Energy Efficiency and Energy Retailing"
 <doi:10.20378/irbo-54833> and Hopf et al. (2016)
 <doi:10.1007/s12525-018-0290-9> "Enhancing energy efficiency in the
 residential sector with smart meter data analytics".

Package: r-cran-smartp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-covr, r-cran-sn, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-smartp_0.1.1-1.ca2004.1_all.deb
Size: 50676
MD5sum: d95f812bcc55cd7c8f3c0a2cdd73d437
SHA1: 125f97bbcb43f359bf3ce4adf6a0cdaa58c09c47
SHA256: 970b2eb82bd3c9c9fbcbe1150c5a1a817cb390f26e5f727984f9f26c7490681f
SHA512: 95c8d6253044f310ebfbb779996cda7aabf00d17c6a81897b788e514600a91f845ae91c1c674b45fbf995fba8897753d0a4195499e5e7fa4612dacf562b60220
Homepage: https://cran.r-project.org/package=SMARTp
Description: CRAN Package 'SMARTp' (Sample Size for SMART Designs in Non-Surgical Periodontal Trials)
 Sample size calculation to detect dynamic treatment regime (DTR) effects
 based on change in clinical attachment level (CAL) outcomes from a
 non-surgical chronic periodontitis treatments study. The experiment is
 performed under a Sequential Multiple Assignment Randomized Trial (SMART)
 design. The clustered tooth (sub-unit) level CAL outcomes are skewed,
 spatially-referenced, and non-randomly missing. The implemented algorithm is
 available in Xu et al. (2019+) <arXiv:1902.09386>.

Package: r-cran-smartsheetr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-memoise, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smartsheetr_0.1.0-1.ca2004.1_all.deb
Size: 77684
MD5sum: 92795e8a9dae3c10ae800b9858720577
SHA1: 8595e03f854d03085b514ee66f0fae73eb44450d
SHA256: 6db0db7845a1675cea6c75fc8ad1d20f6a83a6129c00ae3bcb42c557f8a1ea29
SHA512: 1024b857b0af85f6a135241b7d2b3779e15140def72d07ca8cd03c06b6a3855205f5949a6b247fb18caa2b7d965dd340c02941fa5c24bae3b1c61f7206e38959
Homepage: https://cran.r-project.org/package=smartsheetr
Description: CRAN Package 'smartsheetr' (Access and Write 'Smartsheet' Data using the 'Smartsheet' API2.0)
 Interact with the 'Smartsheet' platform through the 'Smartsheet' API 2.0.
 <https://smartsheet.redoc.ly/>. API is an acronym for application
 programming interface; the 'Smartsheet' API allows users to interact with
 'Smartsheet' sheets directly within R.

Package: r-cran-smartsizer
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smartsizer_1.0.3-1.ca2004.1_all.deb
Size: 47880
MD5sum: bfe62f84f78c808ce27e7635d2568799
SHA1: 817a257f3299635fb7171800e4cfb7c14caaa638
SHA256: 8500ee229ec58d51cd6c8702f4bc67ae9a992dabd59298885e45074fa561b506
SHA512: a716cd67080adaa7ea53636996ec5c073bfe6efa453668a4dc4c45cd9651a7f99caa3c9ab23de75e29af172898241bbd297cbc2508b74ffce75a899d3ab0c01e
Homepage: https://cran.r-project.org/package=smartsizer
Description: CRAN Package 'smartsizer' (Power Analysis for a SMART Design)
 A set of tools for determining the necessary sample size in order to
 identify the optimal dynamic treatment regime in a sequential, multiple
 assignment, randomized trial (SMART).  Utilizes multiple comparisons with
 the best methodology to adjust for multiple comparisons.  Designed for an
 arbitrary SMART design. Please see Artman (2018)
 <doi:10.1093/biostatistics/kxy064> for more details.

Package: r-cran-smatr
Architecture: all
Version: 3.4-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 245
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smatr_3.4-8-1.ca2004.1_all.deb
Size: 209500
MD5sum: aa7ad77ccb4d2bb12aeed11163dd637e
SHA1: fc22f673cd3f1bc5099c781d19bcc793d6d3dfef
SHA256: 4441063e68c39b4dd9cc998086aacf305a63a2dae04a1926fb7ded8889fd9b2f
SHA512: 1103808c41d64784510f1d47e14e50bcfbcad952892cb2419d424a810bd1cc206c6afdf9d5d6f30c82b89b1fe50c042e9c6d8ab16284c49b7990346624ffecc6
Homepage: https://cran.r-project.org/package=smatr
Description: CRAN Package 'smatr' ((Standardised) Major Axis Estimation and Testing Routines)
 Methods for fitting bivariate lines in allometry using the major axis (MA)
 or standardised major axis (SMA), and for making inferences about such
 lines. The available methods of inference include confidence intervals and
 one-sample tests for slope and elevation, testing for a common slope or
 elevation amongst several allometric lines, constructing a confidence
 interval for a common slope or elevation, and testing for no shift along a
 common axis, amongst several samples.  See Warton et al. 2012
 <doi:10.1111/j.2041-210X.2011.00153.x> for methods description.

Package: r-cran-smbinning
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sqldf, r-cran-partykit, r-cran-formula, r-cran-gsubfn
Filename: pool/dists/focal/main/r-cran-smbinning_0.9-1.ca2004.1_all.deb
Size: 319920
MD5sum: 638fd8c232c8c53966e0d167451d1e0d
SHA1: 8274255f10ba2190bb4d0df72f113dd408ebdad1
SHA256: e936b9f2c42d2339fd65fa17725100d756d8c900c15ac7a9ced3c00339131bfc
SHA512: 4785be92bc6ac612281fe6a4630214f723e4c552e5d216f035cb4d0802687266fd80492f247bea5f961f81380f14d10ea3cadfcc8fa425fd0a8d7ba7a2c4694c
Homepage: https://cran.r-project.org/package=smbinning
Description: CRAN Package 'smbinning' (Scoring Modeling and Optimal Binning)
 A set of functions to build a scoring model from beginning to end, leading
 the user to follow an efficient and organized development process, reducing
 significantly the time spent on data exploration, variable selection,
 feature engineering, binning and model selection among other recurrent
 tasks.  The package also incorporates monotonic and customized binning,
 scaling capabilities that transforms logistic coefficients into points for a
 better business understanding and calculates and visualizes classic
 performance metrics of a classification model.

Package: r-cran-smccnet
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3048
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-envstats, r-cran-future, r-cran-proc, r-cran-spls, r-cran-matrix, r-cran-pbapply, r-cran-igraph, r-cran-magrittr, r-cran-rlist, r-cran-furrr, r-cran-purrr, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-reshape2, r-cran-shadowtext, r-cran-tidyverse, r-cran-mltools, r-cran-caret
Filename: pool/dists/focal/main/r-cran-smccnet_2.0.3-1.ca2004.1_all.deb
Size: 2784604
MD5sum: 9a0a79ed215dbd43b2e950f38f7003f2
SHA1: f08d71bd43631f33466d021f19a349f17b937914
SHA256: 84129de5ba81ecc649b59e6030b3379b4f1e711cd68d224810c3f47153cfc553
SHA512: 360bb7257d876d98a75224ce32f2c1b976bb7e0c4cfa1fb4f37ca6b013cadf949ef13379d269a9a6e6dc5835b5c3cd7149ecafc61b1ea103c094ed19988ac944
Homepage: https://cran.r-project.org/package=SmCCNet
Description: CRAN Package 'SmCCNet' (Sparse Multiple Canonical Correlation Network Analysis Tool)
 A canonical correlation based framework (SmCCNet) designed for the
 construction of phenotype-specific multi-omics networks. This framework
 adeptly integrates single or multiple omics data types along with a
 quantitative or binary phenotype of interest. It offers a streamlined setup
 process that can be tailored manually or configured automatically, ensuring
 a flexible and user-friendly experience.

Package: r-cran-smcfcs
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-survival, r-cran-vgam, r-cran-rlang, r-cran-checkmate, r-cran-abind, r-cran-brglm2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mitools, r-cran-ggplot2, r-cran-kmi, r-cran-flexsurv, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-smcfcs_2.0.0-1.ca2004.1_all.deb
Size: 439596
MD5sum: c03559d27afe34d7c265d5f5be576707
SHA1: 276b45d959a3855bcaa17f0912d103bc9b6ffd9b
SHA256: 0d5524450d7d14c59ea90ac9a04a4f9798b5a95ca042eafcfe5a0e8f22a6b924
SHA512: c97db7e002fcd5a8dd92d2b1a9bf66fff89b99aa4dc25363d9dac91c59f39dcd699480f552b319f1c5da6335904889b340b0bd23a7b3f97e59e0d0cfe28f75c6
Homepage: https://cran.r-project.org/package=smcfcs
Description: CRAN Package 'smcfcs' (Multiple Imputation of Covariates by Substantive ModelCompatible Fully Conditional Specification)
 Implements multiple imputation of missing covariates by Substantive Model
 Compatible Fully Conditional Specification.  This is a modification of the
 popular FCS/chained equations multiple imputation approach, and allows
 imputation of missing covariate values from models which are compatible with
 the user specified substantive model.

Package: r-cran-smco
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smco_0.1-1.ca2004.1_all.deb
Size: 20780
MD5sum: 933769e969a03a7fad2773c7588b3ed5
SHA1: 3491f88d353dba3e41c2561a7ac964c9651b3d57
SHA256: f9e41c608b0437aa2ea59a9a0ff35eab4711f2483e9bf8104c21d8c7d0b4d3a3
SHA512: 73915fcfb1f7222668b0473ac4b886daa4168f45ca9eb5077a0ff530261a9a6e35f9de8b73f023fd8c73938e1f28336b75d24377af65482575476cdf6bf74eb0
Homepage: https://cran.r-project.org/package=smco
Description: CRAN Package 'smco' (A simple Monte Carlo optimizer using adaptive coordinatesampling)
 This package is for optimizing non-linear complex functions based on Monte
 Carlo random sampling.

Package: r-cran-smcrm
Architecture: all
Version: 0.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smcrm_0.0-3-1.ca2004.1_all.deb
Size: 124716
MD5sum: 3059bd548cf3fa06004af1d586c8a831
SHA1: 8427d28b89c649f931c3065dc4f817b54b16f115
SHA256: 64b3b6c87975d700837ff3a9a27aadb27d850f26625468d023bd0b5df3bf55f2
SHA512: 95ccb81a7e1617961acb19afc223ca4a3e884988bb47f08bc0b735aeb798399276aa433e1e39de283c159c259d9029c4b484d30bf64d762d1572e6eb67cf2efb
Homepage: https://cran.r-project.org/package=SMCRM
Description: CRAN Package 'SMCRM' (Data Sets for Statistical Methods in Customer RelationshipManagement by Kumar and Petersen (2012))
 Data Sets for Kumar and Petersen (2012).  Statistical Methods in Customer
 Relationship Management, Wiley: New York.

Package: r-cran-smcure
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-smcure_2.1-1.ca2004.1_all.deb
Size: 49128
MD5sum: 603033261db744efaa07080d22d1b9cb
SHA1: 24a3c4abd9ec744cc4889ca574809679bbb915fb
SHA256: b275f5f3cf6c95fdbbf267a51dfbf74101c45aad22bff82f1076b7675fbbcb81
SHA512: 7051ec51d78edc8f7ffaa7fcb3c03f746b7b3d5691afa8efb5309e864788ecba37b59386086dd65cc7a2b6f722795cf217011051a6c75708ea79cfadb222f448
Homepage: https://cran.r-project.org/package=smcure
Description: CRAN Package 'smcure' (Fit Semiparametric Mixture Cure Models)
 An R-package for Estimating Semiparametric PH and AFT Mixture Cure Models.

Package: r-cran-smd
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-stddiff, r-cran-tableone, r-cran-knitr, r-cran-dplyr, r-cran-purrr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smd_0.8.0-1.ca2004.1_all.deb
Size: 54696
MD5sum: 8e3676d58ae8a7d241148fcaa3233806
SHA1: 685bc28bdfeadfa0acc48dba539aa68521832b7c
SHA256: 301ec98a5f1cdf517e7b1bdcb08853bf2545ae9a7c274981c47078549c7c49c3
SHA512: 81fcf5557b8a6cbf899b8641ef0a61d3045dbc0700d1fe50a63457e04281c4e77f64272ae5500a47c00e80f0a98f3c342da75c0b48f49349d25fa41562ee1f3a
Homepage: https://cran.r-project.org/package=smd
Description: CRAN Package 'smd' (Compute Standardized Mean Differences)
 Computes standardized mean differences and confidence intervals for multiple
 data types based on Yang, D., & Dalton, J. E. (2012)
 <https://support.sas.com/resources/papers/proceedings12/335-2012.pdf>.

Package: r-cran-smdata
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smdata_1.2-1.ca2004.1_all.deb
Size: 125796
MD5sum: 8f63b1324c3e5406c27519cbe4042e93
SHA1: 41849798b000fcc07d5a0301661e57b45a075c36
SHA256: a3c75d8556a69a56ff9fcad3c7b7ac5e23cc3ce4f2cac0925b7b6984664798ff
SHA512: 9fb483dd005e9a57400a13edc921112d2d300ff4b88c56bd762254497570365dd7f04657510b165afca0f751d7ee675275d125f74c70ee7e452ad22b03ce8b3b
Homepage: https://cran.r-project.org/package=smdata
Description: CRAN Package 'smdata' (Data to Accompany Smithson & Merkle, 2013)
 Contains data files to accompany Smithson & Merkle (2013), Generalized
 Linear Models for Categorical and Continuous Limited Dependent Variables.

Package: r-cran-smdi
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3590
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-caret, r-cran-dplyr, r-cran-fastdummies, r-cran-forcats, r-cran-ggplot2, r-cran-glue, r-cran-gt, r-cran-hotelling, r-cran-lifecycle, r-cran-magrittr, r-cran-mice, r-cran-naniar, r-cran-proc, r-cran-randomforest, r-cran-stringr, r-cran-survival, r-cran-tableone, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-broom.helpers, r-cran-cardx, r-cran-gridextra, r-cran-gtsummary, r-cran-here, r-cran-knitr, r-cran-reactr, r-cran-reactable, r-cran-rmarkdown, r-cran-simsurv, r-cran-smd, r-cran-survminer, r-cran-usethis, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-smdi_0.3.1-1.ca2004.1_all.deb
Size: 2242416
MD5sum: 8db561923d5635256ec2f6797f7ee0ad
SHA1: fb6f0b8c677e5080db2a6217d006ce0fd6f4bbd0
SHA256: dbda007dd097cc213bd360e60dddb643d52652e6766915d724234ab201702915
SHA512: ebfeee680dda28660d86b33241d367a5d37941068f1350c37146d866358e10ac988b946f1313981702ad61e26e2bd803a8ddcaa68a84e2b63c80ac6f2e711b0d
Homepage: https://cran.r-project.org/package=smdi
Description: CRAN Package 'smdi' (Perform Structural Missing Data Investigations)
 An easy to use implementation of routine structural missing data diagnostics
 with functions to visualize the proportions of missing observations,
 investigate missing data patterns and conduct various empirical missing data
 diagnostic tests. Reference: Weberpals J, Raman SR, Shaw PA, Lee H, Hammill
 BG, Toh S, Connolly JG, Dandreo KJ, Tian F, Liu W, Li J, Hernández-Muñoz JJ,
 Glynn RJ, Desai RJ. smdi: an R package to perform structural missing data
 investigations on partially observed confounders in real-world evidence
 studies. JAMIA Open. 2024 Jan 31;7(1):ooae008.
 <doi:10.1093/jamiaopen/ooae008>.

Package: r-cran-smdic
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4381
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-gsva, r-cran-samr, r-cran-e1071, r-bioc-preprocesscore, r-cran-pheatmap, r-bioc-maftools, r-cran-survival, r-cran-survminer, r-cran-mass, r-cran-pracma, r-cran-rcolorbrewer, r-cran-backports
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-smdic_0.1.6-1.ca2004.1_all.deb
Size: 3401132
MD5sum: e0cee51e080b8643e6614016a481f4a1
SHA1: 9eaf6f166e8f52c0f2c7a36402b98daadec30498
SHA256: 424412d7ecfaa74183fc5dba44fc1c8b2f3f21f0b9584e8297aea48e6cbc127b
SHA512: 884ff2226b1d46c1197d8e9eb390f769d01116f45dc2b30d81bb59d287ba26076e110ceea96f563c1fcd02bba1d85d6a34ec12b6156651aa29b1e5aa380b8365
Homepage: https://cran.r-project.org/package=SMDIC
Description: CRAN Package 'SMDIC' (Identification of Somatic Mutation-Driven Immune Cells)
 A computing tool is developed to automated identify somatic mutation-driven
 immune cells. The operation modes including: i) inferring the relative
 abundance matrix of tumor-infiltrating immune cells and integrating it with
 a particular gene mutation status, ii) detecting differential immune cells
 with respect to the gene mutation status and converting the abundance matrix
 of significant differential immune cell into two binary matrices (one for
 up-regulated and one for down-regulated), iii) identifying somatic
 mutation-driven immune cells by comparing the gene mutation status with each
 immune cell in the binary matrices across all samples, and iv) visualization
 of immune cell abundance of samples in different mutation status..

Package: r-cran-smdocker
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-paws.compute, r-cran-paws.developer.tools, r-cran-paws.machine.learning, r-cran-paws.management, r-cran-paws.storage, r-cran-paws.security.identity, r-cran-zip, r-cran-uuid
Suggests: r-cran-covr, r-cran-crayon, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smdocker_0.1.4-1.ca2004.1_all.deb
Size: 67500
MD5sum: f3cb48a11fd18dd96f90ab0b79d71914
SHA1: 88e8868958140cafea57939179e8c40bb55913b6
SHA256: 28f2a7b72f76881c1e661d0ecb8d9af1ecf62fd586d07a346ffc79ead01599db
SHA512: 8eda0a368b9f6a71c7364f33efc1c4f75dd212f3bb242281ba9d814f5592fa59b94e711cd12ee5c321b7b7f670ccf9a97d9219362308ac88b1c83ed435811df6
Homepage: https://cran.r-project.org/package=smdocker
Description: CRAN Package 'smdocker' (Build 'Docker Images' in 'Amazon SageMaker Studio' using 'AmazonWeb Service CodeBuild')
 Allows users to easily build custom 'docker images'
 <https://docs.docker.com/> from 'Amazon Web Service Sagemaker'
 <https://aws.amazon.com/sagemaker/> using 'Amazon Web Service CodeBuild'
 <https://aws.amazon.com/codebuild/>.

Package: r-cran-smetlite
Architecture: all
Version: 0.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2560
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readr, r-cran-stringr
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-smetlite_0.2.10-1.ca2004.1_all.deb
Size: 324664
MD5sum: a7497ef641255c189aa39f4a9bb1a8ac
SHA1: 7d9be16f7b8c47bc1f233316bc5840736f4ce77a
SHA256: 4212bd66e145dbfb4d05d3d8afc86c2416f2bd327bbd5042ee968545c05fd500
SHA512: fa4c26beb45fe8331c96e908cace28696286b96073f0126f77aabc7998cd80cb057dd4be995eb2a9edb5e3c720e791500dcb45ecef401a5ac4b73d7135e8cfdc
Homepage: https://cran.r-project.org/package=smetlite
Description: CRAN Package 'smetlite' (Read and Write SMET Files)
 Simple class to hold contents of a SMET file as specified in Bavay (2021)
 <https://code.wsl.ch/snow-models/meteoio/-/blob/master/doc/SMET_specifications.pdf>.
 There numerical meteorological measurements are all based on MKS (SI) units
 and timestamp is standardized to UTC time.

Package: r-cran-smfi5
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-smfi5_1.0-1.ca2004.1_all.deb
Size: 106708
MD5sum: 97d45c6dfd3c23c4578ed71ad94ad18e
SHA1: 9e36c6cd4bd3a3f64dd71f5e3008f08c3a627e44
SHA256: 28291a1d561000c0353fa2aad63cd94ab9cfb2d930283366f338792e5eff60e8
SHA512: 1cce72bd4ff2bfc055950e80cf16421ac15e2ff427f90a287c488ff00ef7a45095313bba905a025c2a0a03b107e1d6720b61e4c76b9bd22612bbfec83df26f35
Homepage: https://cran.r-project.org/package=SMFI5
Description: CRAN Package 'SMFI5' (R functions and data from Chapter 5 of 'Statistical Methods forFinancial Engineering')
 R functions and data from Chapter 5 of 'Statistical Methods for Financial
 Engineering', by Bruno Remillard, CRC Press, (2013).

Package: r-cran-smfilter
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-smfilter_1.0.3-1.ca2004.1_all.deb
Size: 166224
MD5sum: 198e6c623e7385314e205d6875557c42
SHA1: d7b5ce81e57bd1995fccfa0a8c78d96a94d13b06
SHA256: 412ae18699d2791ad0e962e1de9130c78456dc1312ea878c24123d854b1cf004
SHA512: dd9925613b8acfbf47df17487dcdde34bac96e9387c5c75ea669ac278c4fa4a44bac2b6d3125d8d7a40a16ad92ce5676b2b5f7fe7e42f88c4af00eea3b4e6249
Homepage: https://cran.r-project.org/package=SMFilter
Description: CRAN Package 'SMFilter' (Filtering Algorithms for the State Space Models on the StiefelManifold)
 Provides the filtering algorithms for the state space models on the Stiefel
 manifold as well as the corresponding sampling algorithms for uniform,
 vector Langevin-Bingham and matrix Langevin-Bingham distributions on the
 Stiefel manifold.

Package: r-cran-smicd
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ineq, r-cran-truncnorm, r-cran-lme4, r-cran-formula.tools, r-cran-mvtnorm, r-cran-hmisc, r-cran-laeken, r-cran-weights
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mlmrev, r-cran-r.rsp, r-cran-kernelheaping
Filename: pool/dists/focal/main/r-cran-smicd_1.1.5-1.ca2004.1_all.deb
Size: 627556
MD5sum: 0129d89854bd9d63fbcfab206d345fd4
SHA1: 5e0b070c09f440f921f583004fc92f9e059f6558
SHA256: 927687052292975ee3fa241fd9f86a259bece4397b19f3bf321581428a5c895a
SHA512: 922d5b730e55a7604654ee7e79b86356df0ee2a867b342c22e0b49143de5f9bbfeba08b2dfa78c0a519f445e21cab00a9616879baf8bf8bf2dfa35a619af261d
Homepage: https://cran.r-project.org/package=smicd
Description: CRAN Package 'smicd' (Statistical Methods for Interval-Censored Data)
 Functions that provide statistical methods for interval-censored (grouped)
 data. The package supports the estimation of linear and linear mixed
 regression models with interval-censored dependent variables. Parameter
 estimates are obtained by a stochastic expectation maximization algorithm.
 Furthermore, the package enables the direct (without covariates) estimation
 of statistical indicators from interval-censored data via an iterative
 kernel density algorithm. Survey and Organisation for Economic Co-operation
 and Development (OECD) weights can be included into the direct estimation
 (see, Walter, P. (2019) <doi:10.17169/refubium-1621>).

Package: r-cran-smidm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-extradistr
Suggests: r-cran-testthat, r-cran-covr, r-cran-xml2, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-hdrcde, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-smidm_1.0-1.ca2004.1_all.deb
Size: 151680
MD5sum: 6c0971581e55fd2262805f1503c536ea
SHA1: 1e3cf636069d1ce62eda78b4cd3f01f3c3cb4594
SHA256: a8bdc11eee67edfc027e2ad65c09bda6ac1a06125e72a74e82e66a62c1393c86
SHA512: 66b43c0e81024e027c8b58ead7827e6b03b4ba4dedc72e4c6ff531a38b30e6c68c6a9a5b5a2aba5b9d9f84d1dba59ddfbadd25b32273f490a11db9ef4d3ec176
Homepage: https://cran.r-project.org/package=smidm
Description: CRAN Package 'smidm' (Statistical Modelling for Infectious Disease Management)
 Statistical models for specific coronavirus disease 2019 use cases at German
 local health authorities. All models of Statistical modelling for infectious
 disease management 'smidm' are part of the decision support toolkit in the
 'EsteR' project. More information is published in Sonja Jäckle, Rieke
 Alpers, Lisa Kühne, Jakob Schumacher, Benjamin Geisler, Max Westphal
 "'EsteR' – A Digital Toolkit for COVID-19 Decision Support in Local Health
 Authorities" (2022) <doi:10.3233/SHTI220799> and Sonja Jäckle, Elias Röger,
 Volker Dicken, Benjamin Geisler, Jakob Schumacher, Max Westphal "A
 Statistical Model to Assess Risk for Supporting COVID-19 Quarantine
 Decisions" (2021) <doi:10.3390/ijerph18179166>.

Package: r-cran-smiles
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-meta
Suggests: r-cran-bookdown, r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smiles_0.1-0-1.ca2004.1_all.deb
Size: 155504
MD5sum: b45c4934dab6d8481904b259d619e5c2
SHA1: e8b79068a426efe1bab16e3b4736c36a7e7d0bbc
SHA256: a6522be8175c284b302f7b3a9637f7712ecc07fa5f3c8228c4a37fae418af93e
SHA512: 849c131e8f46730595918db3570e110d8357abe940bd73d920275a5c25c1a3737afd4674fb0a9b999e205fab8bf5cc924860466c1b31d98430774774b4c7d79f
Homepage: https://cran.r-project.org/package=smiles
Description: CRAN Package 'smiles' (Sequential Method in Leading Evidence Synthesis)
 Trial sequential analysis emerges as an important method in data synthesis
 realm. It is necessary to integrate pooling methods and sequential analysis
 coherently, as discussed in the Chapter by Thomas, J., Askie, L.M., Berlin,
 J.A., Elliott, J.H., Ghersi, D., Simmonds, M., Takwoingi, Y., Tierney, J.F.
 and Higgins, J.P. (2019). "Prospective approaches to accumulating evidence".
 In Cochrane Handbook for Systematic Reviews of Interventions (eds J.P.T.
 Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M.J. Page and V.A.
 Welch). <doi:10.1002/9781119536604.ch22>.

Package: r-cran-smirnov
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smirnov_1.0-1-1.ca2004.1_all.deb
Size: 11284
MD5sum: 042229a901a3f47fda0ece46c4358231
SHA1: 369d8fe0d279a20e7dac4a0abf832e210d697be8
SHA256: c30259631bccad31253682e2e2b0baaaf570c83f75401d39227a5662534fc0fd
SHA512: 38c00f7d6204582705cb35064a0608676ec20885bee8d1f1934b5f20226155ca06ca770b59a1e719562fbe9f03c1ca2b859a33ead9619cd9b73f15efb8f3f16f
Homepage: https://cran.r-project.org/package=smirnov
Description: CRAN Package 'smirnov' (Provides two taxonomic coefficients from E. S. Smirnov"Taxonomic analysis" (1969) book)
 This tiny package contains one function smirnov() which calculates two
 scaled taxonomic coefficients, Txy (coefficient of similarity) and Txx
 (coefficient of originality). These two characteristics may be used for the
 analysis of similarities between any number of taxonomic groups, and also
 for assessing uniqueness of giving taxon. It is possible to use smirnov()
 output as a distance measure: convert it to distance by "as.dist(1 -
 smirnov(x))".

Package: r-cran-smithwilsonyieldcurve
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smithwilsonyieldcurve_1.1.1-1.ca2004.1_all.deb
Size: 188532
MD5sum: b463ee93944c717e4c61bb6a75d1bf91
SHA1: 8feab0ecbc3cdfe441cc0014dbcfd6ce3028409e
SHA256: 6b4a6bd5413c3185033ecee3e06f0c52d2aa609d0ba0f6455e0d758b97662041
SHA512: 8feb9b9f8695652967500e614d1df417e4b32aa5a48808a6f67ac3ade9508deb82f4eae1761f35701498b989bb07c3e8e3c722aa21821c593f6a958fb97f00ac
Homepage: https://cran.r-project.org/package=SmithWilsonYieldCurve
Description: CRAN Package 'SmithWilsonYieldCurve' (Smith-Wilson Yield Curve Construction)
 Constructs a yield curve by the Smith-Wilson method from a table of libor
 and swap rates. Now updated to take bond coupons and prices in the same
 table.

Package: r-cran-smitidstruct
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-sf, r-bioc-biostrings
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smitidstruct_0.0.5-1.ca2004.1_all.deb
Size: 201624
MD5sum: d47d1abecac00c49fca0b1ce8f906c4a
SHA1: 58769dc24b0b323e00c61b455433d186c1cfa5ca
SHA256: e57050c3d3f7103d365bf8d86bde88aa669c7aa85e6daf7ad4d6aa319f557298
SHA512: 11e8febbe2b66d2edf2149b42e3889dca8b9f3488203fa3842c1cf82c407274599e57f225b5a9c5f115d08f0aee7330f55777674286a49470c3658194836bd1f
Homepage: https://cran.r-project.org/package=SMITIDstruct
Description: CRAN Package 'SMITIDstruct' (Data Structure and Manipulations Tool for Host and ViralPopulation)
 Statistical Methods for Inferring Transmissions of Infectious Diseases from
 deep sequencing data (SMITID).  It allow sequence-space-time host and viral
 population data storage, indexation and querying.

Package: r-cran-smle
Architecture: all
Version: 2.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-matrixcalc, r-cran-mvnfast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smle_2.2-2-1.ca2004.1_all.deb
Size: 3099532
MD5sum: 435689c4a8aee80ee03ab49a03499706
SHA1: 9c555535adf48be3e12a339285826ae95660a77e
SHA256: 3e09ae2eb2e6b2ebc52d32e590142e115b1f4d6b291e97b48a430b505d5b5762
SHA512: ac6dcfec65dab0bc6df9b56d429dbcba80d68f5d488a6f0e851405f0766f7627b3098d7207ea0145c0db33daf95386bac9c68d91c7dcdf226d039f8db9c73146
Homepage: https://cran.r-project.org/package=SMLE
Description: CRAN Package 'SMLE' (Joint Feature Screening via Sparse MLE)
 Feature screening is a powerful tool in processing ultrahigh dimensional
 data. It attempts to screen out most irrelevant features in preparation for
 a more elaborate analysis. Xu and Chen
 (2014)<doi:10.1080/01621459.2013.879531> proposed an effective screening
 method SMLE, which naturally incorporates the joint effects among features
 in the screening process. This package provides an efficient implementation
 of SMLE-screening for high-dimensional linear, logistic, and Poisson models.
 The package also provides a function for conducting accurate post-screening
 feature selection based on an iterative hard-thresholding procedure and a
 user-specified selection criterion.

Package: r-cran-smleph
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-splines2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smleph_0.1.0-1.ca2004.1_all.deb
Size: 25940
MD5sum: d3bedf6acb92e3de96da9672e9e16a76
SHA1: f28245a11913adc34c47154fcfb80698aca1a2f5
SHA256: c71d3adeb47f581227c5b971f1bf894a30dc54c7ae264a7b650deefb2e671936
SHA512: 8c8d630573ac1fbec20f29061172a8282459e37be196ec5adf278f6895d68bdd2155ea58797ed263455fcf581c9e0b51691ff942b9643a92e1b71733422d4474
Homepage: https://cran.r-project.org/package=smlePH
Description: CRAN Package 'smlePH' (Sieve Maximum Full Likelihood Estimation for the Right-CensoredProportional Hazards Model)
 Fitting the full likelihood proportional hazards model and extracting the
 residuals.

Package: r-cran-smlmkalman
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3013
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spdep, r-cran-pracma, r-cran-scales, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-smlmkalman_0.1.1-1.ca2004.1_all.deb
Size: 3030656
MD5sum: afbcc286aa6b5d170b94abb533a27b6d
SHA1: cfe82684ae8745abf0089de792333296d5705746
SHA256: bb679685010671e154c7612d1de08ec1eb4437c1400b292ae772fb5c243409f1
SHA512: 07b18697fc1353212738af6ae503bf24f176b462f355e571c28a2d945e627882d8740874130601ebf89eff04429686da5bd68072fca0ee1979d2b3d460db488d
Homepage: https://cran.r-project.org/package=smlmkalman
Description: CRAN Package 'smlmkalman' (Generation and Tracking of Super-Resolution Filamentous Datasets)
 A pair of functions that allow for the generation and tracking of coordinate
 data clouds without a time dimension, primarily for use in super-resolution
 plant micro-tubule image segmentation.

Package: r-cran-smloutliers
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smloutliers_0.1-1.ca2004.1_all.deb
Size: 17164
MD5sum: 5c10f63f7a3857bfe2bef5e63c76965b
SHA1: 5881a2e5321a27063c2bad34a99a1c0188699bc6
SHA256: 057a01a3545efb4d0d9658724df91431f3bb386533a6d14b75118f6f8767c40e
SHA512: 8d66e87325767f3ebe76da894bab5c788c9d7eb21136ff79b8ec0f3a75441c53c64738582fd72719b9b58687ed0796e6c4b06803ed8a6ac1ca60f4ab9b8fd8eb
Homepage: https://cran.r-project.org/package=SMLoutliers
Description: CRAN Package 'SMLoutliers' (Outlier Detection Using Statistical and Machine Learning Methods)
 Local Correlation Integral (LOCI) method for outlier identification is
 implemented here. The LOCI method developed here is invented in Breunig, et
 al. (2000), see <doi:10.1145/342009.335388>.

Package: r-cran-smm
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-seqinr, r-cran-discreteweibull
Filename: pool/dists/focal/main/r-cran-smm_1.0.2-1.ca2004.1_all.deb
Size: 942892
MD5sum: a10eda72ab7c1cef038ad505db6016ec
SHA1: ced0445523258b6e337fe42914310ad3d2aaee38
SHA256: 71e9afab3815fa50087c61237cea8cb788a978d6fb8d5657c380a261ade47c70
SHA512: 54258e28aa56674938c1ac4e5d7f19bc4c472e9c210cfd961b9834445454cd659dd784ab0d80ec8cfa12fe8bbc60e5a1fdcee1abcc0fa3b1193364af34b3ef52
Homepage: https://cran.r-project.org/package=SMM
Description: CRAN Package 'SMM' (Simulation and Estimation of Multi-State Discrete-TimeSemi-Markov and Markov Models)
 Performs parametric and non-parametric estimation and simulation for
 multi-state discrete-time semi-Markov processes.  For the parametric
 estimation, several discrete distributions are considered for the sojourn
 times: Uniform, Geometric, Poisson, Discrete Weibull and Negative Binomial.
 The non-parametric estimation concerns the sojourn time distributions, where
 no assumptions are done on the shape of distributions.  Moreover, the
 estimation can be done on the basis of one or several sample paths, with or
 without censoring at the beginning or/and at the end of the sample paths.
 The implemented methods are described in Barbu, V.S., Limnios, N. (2008)
 <doi:10.1007/978-0-387-73173-5>, Barbu, V.S., Limnios, N. (2008)
 <doi:10.1080/10485250701261913> and Trevezas, S., Limnios, N. (2011)
 <doi:10.1080/10485252.2011.555543>.  Estimation and simulation of
 discrete-time k-th order Markov chains are also considered.

Package: r-cran-smmt
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-xml, r-cran-tibble, r-cran-curl, r-cran-rvest, r-cran-xml2
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smmt_1.2.0-1.ca2004.1_all.deb
Size: 205136
MD5sum: 91c2683ffc376cd70edfff4e9479c6f9
SHA1: 9ffa45e8173441604ac7f86ba1ecf37619af14c2
SHA256: abfa3684b021ce21eb0f34f1cc75d900e1fbebb235586684d41683eb058847cd
SHA512: 951f4fa5507689b3e80805212ec21e838d21f214d9f54309779da34927752af6462e922548aa18c1a0a32e191f572b86b3498f97115386828fce128ea6cdb4c6
Homepage: https://cran.r-project.org/package=SMMT
Description: CRAN Package 'SMMT' (The Swiss Municipal Data Merger Tool Maps Municipalities OverTime)
 In Switzerland, the landscape of municipalities is changing rapidly mainly
 due to mergers. The Swiss Municipal Data Merger Tool automatically detects
 these mutations and maps municipalities over time, i.e. municipalities of an
 old state to municipalities of a new state. This functionality is helpful
 when working with datasets that are based on different spatial references.
 The package's idea and use case is discussed in the following article:
 <doi:10.1111/spsr.12487>.

Package: r-cran-smncensreg
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-performanceanalytics
Filename: pool/dists/focal/main/r-cran-smncensreg_3.1-1.ca2004.1_all.deb
Size: 88076
MD5sum: 3a65cbd8133e4185c718e10680990cdc
SHA1: 1876143a364d0df330c2747735dd3b3a24d28c28
SHA256: 0b1886b3d9e25e5f81b466b1fca9f83a1d740b58b1e7a329eb4e661afefaa049
SHA512: 9b0b04eb854a64d528943432f6b6ac47b1a453812794af90729560ccce1fbb560c5d58f5cedae3a94a39ab86c5ef44e8e1886e8fe2fe9e7996bdf3ca59581c7a
Homepage: https://cran.r-project.org/package=SMNCensReg
Description: CRAN Package 'SMNCensReg' (Fitting Univariate Censored Regression Model Under the Family ofScale Mixture of Normal Distributions)
 Fit univariate right, left or interval censored regression model under the
 scale mixture of normal distributions.

Package: r-cran-smnet
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ssn, r-cran-rsqlite, r-cran-spam
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smnet_2.1.2-1.ca2004.1_all.deb
Size: 159608
MD5sum: 2b140677898dabb42236a99ee3136647
SHA1: 6c143a231a4ed77989a0c4845984e64f0b43c88d
SHA256: e8186aab64945d70a59b0a5c8d4b13cb3718597bc97b8d2cf3ff9903c10fc903
SHA512: 80c46b2d97f89380c9fbb46a952317fecc14f6070d34da6b30c5304a46d44e74d4a3d96eced5238f5cda72b8b01c4042f24bc7b1a3b9090f0d97593c9d88d06b
Homepage: https://cran.r-project.org/package=smnet
Description: CRAN Package 'smnet' (Smoothing for Stream Network Data)
 Fits flexible additive models to data on stream networks, taking account of
 flow-connectivity of the network.  Models are fitted using penalised least
 squares.

Package: r-cran-smnlmec
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstan, r-cran-stanheaders, r-cran-mass, r-cran-tmvtnorm, r-cran-mvtnorm, r-cran-mnormt, r-cran-laplacesdemon, r-cran-truncatednormal, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-smnlmec_1.0.0-1.ca2004.1_all.deb
Size: 281912
MD5sum: 52cddcccd050a355421f66c6eede162e
SHA1: d5e8218c1939ba4e855596d0943db443131588f0
SHA256: fd2907b52969667d095ccca9f486e41ec85865cec39678d046bd28c81ee67332
SHA512: 8515fa3cb66b07fac53778db07f119d269cd220e57e9d5d335786afaab3e8bbf962a425339be232f63c7aab9112766141751fc6aa51e2159ecf1fe49868e203f
Homepage: https://cran.r-project.org/package=SMNlmec
Description: CRAN Package 'SMNlmec' (Scale Mixture of Normal Distribution in Linear Mixed-EffectsModel)
 Bayesian analysis of censored linear mixed-effects models that replace
 Gaussian assumptions with a flexible class of distributions, such as the
 scale mixture of normal family distributions, considering a damped
 exponential correlation structure which was employed to account for
 within-subject autocorrelation among irregularly observed measures. For more
 details, see Kelin Zhong, Fernanda L. Schumacher, Luis M. Castro, Victor H.
 Lachos (2025) <doi:10.1002/sim.10295>.

Package: r-cran-smof
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-survival, r-cran-nloptr
Filename: pool/dists/focal/main/r-cran-smof_1.2.2-1.ca2004.1_all.deb
Size: 88864
MD5sum: d8342992004636f6eacd29a65190a648
SHA1: 76454428624648bdec0acccde308895b089bba5b
SHA256: 3235611fc8f097de6166821fb6767b032dd5a0a93ea4b5486dd64a151e2c1918
SHA512: 0119d0e8c5b9d9220ecd6e9479a6abc417e8349a530f83981249d85af893151f3f0d67135fdcf1e2aaec89811cb18d868c35b6d9527c175bdefc865995491184
Homepage: https://cran.r-project.org/package=smof
Description: CRAN Package 'smof' (Scoring Methodology for Ordered Factors)
 Starting from a given object representing a fitted model (within a certain
 set of model classes) whose (non-)linear predictor includes some ordered
 factor(s) among the explanatory variables, a new model is constructed and
 fitted where each named factor is replaced by a single numeric score,
 suitably chosen so that the new variable produces a fit comparable with the
 standard methodology based on a set of polynomial contrasts. Two variants of
 the present approach have been developed, one in each of the next
 references: Azzalini (2023) <doi:10.1002/sta4.624>, (2024)
 <doi:10.48550/arXiv.2406.15933>.

Package: r-cran-smoke
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1710
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-smoke_2.0.1-1.ca2004.1_all.deb
Size: 1611432
MD5sum: 6f6fd59d5a1d482465e61ad14857c1db
SHA1: 365d142b54fa63571472cd37a1a4f3eb25a7ffd6
SHA256: 0ab16f996c16997378cde6632c428385b567eabb73d6cef7825c9443f4caaa0b
SHA512: 1b651c9a47932ff04bb75565fba2c22ef6dbe820d5daa72b56d1cc2b9136783f66672f1f63cfbca47cda5be2d5bac6c3cd5d7d9e2268cd240f1ad779b4a3840e
Homepage: https://cran.r-project.org/package=smoke
Description: CRAN Package 'smoke' (Small Molecule Octet/BLI Kinetics Experiment)
 Bio-Layer Interferometry (BLI) is a technology to determine the binding
 kinetics between biomolecules. BLI signals are small and noisy when small
 molecules are investigated as ligands (analytes). We develop this package to
 process and analyze the BLI data acquired on Octet Red96 from Fortebio more
 accurately.  Sun Q., Li X., et al (2020) <doi:10.1038/s41467-019-14238-3>.
 In this new version, we organize the BLI experiment data and analysis
 methods into a S4 class with self-explaining structure.

Package: r-cran-smoothapc
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-sparsem, r-cran-lmtest, r-cran-rgl, r-cran-colorspace
Suggests: r-cran-testthat, r-cran-demography
Filename: pool/dists/focal/main/r-cran-smoothapc_0.3-1.ca2004.1_all.deb
Size: 84260
MD5sum: ca630dd7ba4525adc6ead36ee1959881
SHA1: b7c4b9bd98247b9502490c62f0cd141c574ac136
SHA256: 012d0afa4e60bbf010671aa7748cc88ed0c7800850826a2f1f75c7f98455ae63
SHA512: e058121c4299335950457b5868a195ad353506419930609e9eef44b3a7e6f67f9e9a63e32aefa0ce9f5488199f96a9c18fcd037661b6d8889145bdba999db4fd
Homepage: https://cran.r-project.org/package=smoothAPC
Description: CRAN Package 'smoothAPC' (Smoothing of Two-Dimensional Demographic Data, Optionally Takinginto Account Period and Cohort Effects)
 The implemented method uses for smoothing bivariate thin plate splines,
 bivariate lasso-type regularization, and allows for both period and cohort
 effects. Thus the mortality rates are modelled as the sum of four
 components: a smooth bivariate function of age and time, smooth
 one-dimensional cohort effects, smooth one-dimensional period effects and
 random errors.

Package: r-cran-smoothedlasso
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-smoothedlasso_1.6-1.ca2004.1_all.deb
Size: 55400
MD5sum: 79aa46abb8d7263c297b6411d3ac6e85
SHA1: 2889804683991b90abfe351e9e87c1e695209b32
SHA256: 81463471bfc7c50a1e81de2212b5007a6c92acbe1ac318120be8e7d1e5896478
SHA512: a76b2fd58877ca7c9b7d99dd83095eac82b9bc9219ee9620e12f621401660bd5ed99c2cbee7087a53837eaa3cd4991f3b5bfe1379f2f15838c64ba8485f5f598
Homepage: https://cran.r-project.org/package=smoothedLasso
Description: CRAN Package 'smoothedLasso' (A Framework to Smooth L1 Penalized Regression Operators usingNesterov Smoothing)
 We provide full functionality to smooth L1 penalized regression operators
 and to compute regression estimates thereof. For this, the objective
 function of a user-specified regression operator is first smoothed using
 Nesterov smoothing (see Y. Nesterov (2005) <doi:10.1007/s10107-004-0552-5>),
 resulting in a modified objective function with explicit gradients
 everywhere. The smoothed objective function and its gradient are minimized
 via BFGS, and the obtained minimizer is returned. Using Nesterov smoothing,
 the smoothed objective function can be made arbitrarily close to the
 original (unsmoothed) one. In particular, the Nesterov approach has the
 advantage that it comes with explicit accuracy bounds, both on the L1/L2
 difference of the unsmoothed to the smoothed objective functions as well as
 on their respective minimizers (see G. Hahn, S.M. Lutz, N. Laha, C. Lange
 (2020) <doi:10.1101/2020.09.17.301788>). A progressive smoothing approach is
 provided which iteratively smoothes the objective function, resulting in
 more stable regression estimates. A function to perform cross validation for
 selection of the regularization parameter is provided.

Package: r-cran-smoother
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ttr
Filename: pool/dists/focal/main/r-cran-smoother_1.3-1.ca2004.1_all.deb
Size: 23324
MD5sum: 1191b65d1293537d1105e9ae8f3cb0e8
SHA1: 962e86cb6e5f41fb85d22f7f1afaeec8845a08a5
SHA256: 8920e14425b660eb1663586fc64670bc492bad5415b8d2c411b2275697814b1e
SHA512: d5bee5eeedef8995bd667a929733edacd47da8d9541013e807bf2c65043d2165c98723d05b5080be22b414117e7a1c9889424184e9970f7f8196321902675cf7
Homepage: https://cran.r-project.org/package=smoother
Description: CRAN Package 'smoother' (Functions Relating to the Smoothing of Numerical Data)
 A collection of methods for smoothing numerical data, commencing with a port
 of the Matlab gaussian window smoothing function. In addition, several
 functions typically used in smoothing of financial data are included.

Package: r-cran-smoothhr
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-smoothhr_1.0.5-1.ca2004.1_all.deb
Size: 119260
MD5sum: 7bfa461dddda52733dfd7f2bf7028b93
SHA1: e01b3ff6feb9433df671e2e9fe46133a905a88d9
SHA256: 75d087b82d3408ce3d8ccd05eb07705d4670aff610e71c17cf5ae1c7ec8cfca4
SHA512: 3a5628b8ceefea58c4beb732d3e086026acec58706bff13cf7442714fc05cade64b457815e326b9f840ea980339010b8ffcd2c8a76e9cfbe6d144007fa3e2780
Homepage: https://cran.r-project.org/package=smoothHR
Description: CRAN Package 'smoothHR' (Smooth Hazard Ratio Curves Taking a Reference Value)
 Provides flexible hazard ratio curves allowing non-linear relationships
 between continuous predictors and survival.  To better understand the
 effects that each continuous covariate has on the outcome, results are
 expressed in terms of hazard ratio curves, taking a specific covariate value
 as reference.  Confidence bands for these curves are also derived.

Package: r-cran-smoothic
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-mass, r-cran-numderiv, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-toordinal
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smoothic_1.2.0-1.ca2004.1_all.deb
Size: 346440
MD5sum: df1af09674f36621d9561eb859d6a8b3
SHA1: a2787213ab1d0b409cae7eb3cb67e449ca94032d
SHA256: 7d9cc8d73118ef615ac7ea6e1e767bf252f39751299550af643ae635753ca30b
SHA512: 4a42184ae6282f63496d3179bf5592e9fc88fa602fd87dcf52d48b471e3a74176c564937a0e341ba0b9265618e0821081cd3d54bf2ee61c7de66979b70fc2fed
Homepage: https://cran.r-project.org/package=smoothic
Description: CRAN Package 'smoothic' (Variable Selection Using a Smooth Information Criterion)
 Implementation of the SIC epsilon-telescope method, either using single or
 distributional (multiparameter) regression. Includes classical regression
 with normally distributed errors and robust regression, where the errors are
 from the Laplace distribution. The "smooth generalized normal distribution"
 is used, where the estimation of an additional shape parameter allows the
 user to move smoothly between both types of regression. See O'Neill and
 Burke (2022) "Robust Distributional Regression with Automatic Variable
 Selection" for more details.  <arXiv:2212.07317>. This package also contains
 the data analyses from O'Neill and Burke (2023). "Variable selection using a
 smooth information criterion for distributional regression models".
 <doi:10.1007/s11222-023-10204-8>.

Package: r-cran-smoothie
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spatialvx, r-cran-fields
Filename: pool/dists/focal/main/r-cran-smoothie_1.0-4-1.ca2004.1_all.deb
Size: 59344
MD5sum: 814c5fbdf426dde9c39a890729b2b1e7
SHA1: d2e6a391a84656478e59ff2bc02b4b1658e22792
SHA256: 80d4ff2b68211afa25f7858a96745dd2e3972ed41f2e6d22a329fd28a54b1233
SHA512: 538ff7a1939549f20693121c70d049e9075b5907cfa2bb214cbbc08cf47bf81a29f474450f896b90d634c10e1e3261067e370ede7b386e8acc944194bd81c11b
Homepage: https://cran.r-project.org/package=smoothie
Description: CRAN Package 'smoothie' (Two-Dimensional Field Smoothing)
 Perform two-dimensional smoothing for spatial fields using FFT and the
 convolution theorem (see Gilleland 2013, <doi:10.5065/D61834G2>).

Package: r-cran-smoothmest
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-smoothmest_0.1-3-1.ca2004.1_all.deb
Size: 58672
MD5sum: d6c05f4d5de4efe7371ef16569287fab
SHA1: bfbe0c577db143cd8b8933ebede8a05ab73720b8
SHA256: f38d8278ea9422ba63756578f56c8c15a23e02aa364b08cc01f38d6a48e0b8e7
SHA512: 7e50ec27098f2b98f3c2be0ecfcb764e480847784cd7463707d51376c99c8a8b2930d0fc7e2ef855c823b7f2b6a17c3b92031346b8bd7c5d8e91b043a793bde9
Homepage: https://cran.r-project.org/package=smoothmest
Description: CRAN Package 'smoothmest' (Smoothed M-Estimators for 1-Dimensional Location)
 Some M-estimators for 1-dimensional location (Bisquare, ML for the Cauchy
 distribution, and the estimators from application of the smoothing principle
 introduced in Hampel, Hennig and Ronchetti (2011) to the above, the Huber
 M-estimator, and the median, main function is smoothm), and Pitman
 estimator.

Package: r-cran-smoothr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-terra, r-cran-units
Suggests: r-cran-covr, r-cran-knitr, r-cran-lwgeom, r-cran-rmarkdown, r-cran-sp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smoothr_1.1.0-1.ca2004.1_all.deb
Size: 902964
MD5sum: 9e144fe7d44f58486f779bb9b0b3f59f
SHA1: dba47911cff5164aa75dbd181669162208e7195e
SHA256: bbdf2fd04bd2853664f710cde4841b21115a0c326869b59e6d0f910e70ff1e39
SHA512: 1580674de1e014a98943c636f324faa195da166734be3d7b3e66addb4fe4b6fca075e0baad28b633b9b354e46b4c4579db8fd410052581fc73d687bdb7ae1440
Homepage: https://cran.r-project.org/package=smoothr
Description: CRAN Package 'smoothr' (Smooth and Tidy Spatial Features)
 Tools for smoothing and tidying spatial features (i.e. lines and polygons)
 to make them more aesthetically pleasing.  Smooth curves, fill holes, and
 remove small fragments from lines and polygons.

Package: r-cran-smoothroctime
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ks
Suggests: r-cran-kmsurv, r-cran-lattice, r-cran-survival
Filename: pool/dists/focal/main/r-cran-smoothroctime_0.1.0-1.ca2004.1_all.deb
Size: 44200
MD5sum: 3c3870f1ba6e6c07b789434c22d9b1cf
SHA1: ed264ffc0401817f5022e2dd179da571c7728c43
SHA256: 4d965925b006b1124775fdf75209f1ac784fd525b0f279bf801e654f88e16e87
SHA512: 271b93edb41e7b4632a8e060951c1c68e4cfc93fb405fb231b06d273e9644adae538b5977a8a6da1a27c94fecd2e04fbc7358603a77650251684d54205b4fb8d
Homepage: https://cran.r-project.org/package=smoothROCtime
Description: CRAN Package 'smoothROCtime' (Smooth Time-Dependent ROC Curve Estimation)
 Computes smooth estimations for the Cumulative/Dynamic and Incident/Dynamic
 ROC curves, in presence of right censorship, based on the bivariate kernel
 density estimation of the joint distribution function of the Marker and
 Time-to-event variables.

Package: r-cran-smoothtail
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-logcondens
Filename: pool/dists/focal/main/r-cran-smoothtail_2.0.6-1.ca2004.1_all.deb
Size: 51688
MD5sum: d9082e1617c6462158322e1c58c8e40c
SHA1: 98ebf3295594827e6daf96929f5dbc4ed3d92595
SHA256: 1486114b3723a79b9dc278e93c08ddb69d00afa38828d240fd1d38173d9d610f
SHA512: 1e50887931d20a07756c62aa95ff901148152524b694a179ff0ea7d953c895e8ea593bf655b4ee0628fe75b6a2b9d0b2d99587e7655e612f9dbe7e75570e1317
Homepage: https://cran.r-project.org/package=smoothtail
Description: CRAN Package 'smoothtail' (Smooth Estimation of GPD Shape Parameter)
 Given independent and identically distributed observations X(1), ..., X(n)
 from a Generalized Pareto distribution with shape parameter gamma in [-1,0],
 offers several estimates to compute estimates of gamma. The estimates are
 based on the principle of replacing the order statistics by quantiles of a
 distribution function based on a log--concave density function. This
 procedure is justified by the fact that the GPD density is log--concave for
 gamma in [-1,0].

Package: r-cran-smoothtensor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rtensor
Filename: pool/dists/focal/main/r-cran-smoothtensor_0.1.1-1.ca2004.1_all.deb
Size: 152568
MD5sum: 8477b8f15673d70d653945ca7892e248
SHA1: 1d1bce67080f49be2b8ad728b7a4820003663b1e
SHA256: 2253d9bdda6482e2ff079868ea62c8f7fe61488d3f27e5d24d084e97fad162a7
SHA512: e2d54922cda2b2e9f719cce466b91b1dcd97c319cadcfaa43db3b80909567b7d2db24df34fd8e3a16e8ec612293459b677d277c7c62eb5bb5289cfbe21c36d9d
Homepage: https://cran.r-project.org/package=SmoothTensor
Description: CRAN Package 'SmoothTensor' (A Collection of Smooth Tensor Estimation Methods)
 A list of methods for estimating a smooth tensor with an unknown
 permutation. It also contains several multi-variate functions for generating
 permuted signal tensors and corresponding observed tensors. For a detailed
 introduction for the model and estimation techniques, see the paper by
 Chanwoo Lee and Miaoyan Wang (2021) "Smooth tensor estimation with unknown
 permutations" <arXiv:2111.04681>.

Package: r-cran-smoothwin
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-smoothwin_3.0.0-1.ca2004.1_all.deb
Size: 58232
MD5sum: 3d5dcb02584c3156fdd3a53f52f545e5
SHA1: b00687398ac54fdee5e0554d8b8b3536a56d5b29
SHA256: 37b73ee931312fbb0e242aaaa8a9ebc39cc7f8fbdfdc637985c894cbdb94c2e8
SHA512: b1efc5133f76ebc231cbec1814e9fdedaa70f1437aa9c5bd54eaaeb6240b51f4e189aa7b975d2f851504ee96891634fa47c93fe42d53fed9dae588dee32e6a4f
Homepage: https://cran.r-project.org/package=SmoothWin
Description: CRAN Package 'SmoothWin' (Soft Windowing on Linear Regression)
 The main function in the package utilizes a windowing function in the form
 of an exponential weighting function to linear models. The bandwidth and
 sharpness of the window are controlled by two parameters. Then, a series of
 tests are used to identify the right parameters of the window (see Hamed
 Haselimashhadi et al (2019)
 <https://www.biorxiv.org/content/10.1101/656678v1>).

Package: r-cran-smoothy
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-zoo, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-smoothy_1.0.0-1.ca2004.1_all.deb
Size: 195604
MD5sum: 36e360d43f576dedcbcc5ebf8c6ad2ad
SHA1: 0b5514bf602fb093c4c8980410fd0661bc4ecc11
SHA256: a7c25d81d790678ca7293cc2937c64b8198e786db2cc2febe2fbe59de0e5b174
SHA512: 8b6458f8e5554334b8c2d5b9c54299b247b24a38832d43dfdacdcf97a4ae9cf11ee2c805fb832db2f6062f9394318087e9405560e41784dc438cadafcc030fc9
Homepage: https://cran.r-project.org/package=smoothy
Description: CRAN Package 'smoothy' (Automatic Estimation of the Most Likely Drug Combination usingSmooth Algorithm)
 A flexible moving average algorithm for modeling drug exposure in
 pharmacoepidemiology studies as presented in the article: Ouchi, D.,
 Giner-Soriano, M., Gómez-Lumbreras, A., Vedia Urgell, C.,Torres, F., &
 Morros, R. (2022). "Automatic Estimation of the Most Likely Drug Combination
 in Electronic Health Records Using the Smooth Algorithm : Development and
 Validation Study." JMIR medical informatics, 10(11), e37976.
 <doi:10.2196/37976>.

Package: r-cran-smosr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1418
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fields, r-cran-lubridate, r-cran-ncdf4, r-cran-rcurl, r-cran-terra, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-smosr_1.0.1-1.ca2004.1_all.deb
Size: 935776
MD5sum: 7152ab2287ba5ca525dc7853b0ee2ad3
SHA1: 6d66d22d120e8c8f3ba311dfef6cc3ea8d4612de
SHA256: d3c827860b81285e59d5757009857256f68bff82f93b5f5bcff5c9f0b3546dd5
SHA512: a7203d85ab042ea4cc6a65dda1b5b4bcfda54bc83957180757da949f736f456431992ce98488259bfb67b3d2dee6801d4c1c9452afd67b05add85beb0479563f
Homepage: https://cran.r-project.org/package=smosr
Description: CRAN Package 'smosr' (Acquire and Explore BEC-SMOS L4 Soil Moisture Data in R)
 Provides functions that automate accessing, downloading and exploring Soil
 Moisture and Ocean Salinity (SMOS) Level 4 (L4) data developed by Barcelona
 Expert Center (BEC).  Particularly, it includes functions to search for,
 acquire, extract, and plot BEC-SMOS L4 soil moisture data downscaled to ~1
 km spatial resolution. Note that SMOS is one of Earth Explorer Opportunity
 missions by the European Space Agency (ESA). More information about SMOS
 products can be found at
 <https://earth.esa.int/eogateway/missions/smos/data>.

Package: r-cran-smotefamily
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fnn, r-cran-dbscan, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-smotefamily_1.4.0-1.ca2004.1_all.deb
Size: 82220
MD5sum: 414a9d2932609cf146a14b981af503cb
SHA1: 84c83b87abb1d371adc7cefe7ebb7360d72a40bd
SHA256: 8b222190667d4239d8a6f8bc4fb921f3233b0f7621554918b310c16f805347ac
SHA512: dffc7a82b314b628b600e653707dc894f069862661a28d8de4e9616ebf4199b4fae4296d0b8db482d99b790cdeb6fa9ba9a66891d12d599fab6616a19b128ec7
Homepage: https://cran.r-project.org/package=smotefamily
Description: CRAN Package 'smotefamily' (A Collection of Oversampling Techniques for Class ImbalanceProblem Based on SMOTE)
 A collection of various oversampling techniques developed from SMOTE is
 provided. SMOTE is a oversampling technique which synthesizes a new minority
 instance between a pair of one minority instance and one of its K nearest
 neighbor.  Other techniques adopt this concept with other criteria in order
 to generate balanced dataset for class imbalance problem.

Package: r-cran-smotewb
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fnn, r-cran-rann, r-cran-rpart, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-smotewb_1.2.2-1.ca2004.1_all.deb
Size: 101856
MD5sum: 15ced1096931d624a7ad77aba7beeb5a
SHA1: 334d9f03529dfc6b9d56967ab7255bf83c47cede
SHA256: 12c9f40c762f314abf55ed81781e3264025c63ad9146c9489c9350aca4b1b09c
SHA512: 515c17e146dc5c7ee74205aab02a716f5db6094d07750e71b69efeab1a49cbd4cc445db18aa800d1acb1de7c7e8a76a15983c65d2c5fb4e1ea3376c047982cc6
Homepage: https://cran.r-project.org/package=SMOTEWB
Description: CRAN Package 'SMOTEWB' (Imbalanced Resampling using SMOTE with Boosting (SMOTEWB))
 Provides the SMOTE with Boosting (SMOTEWB) algorithm. See F. Sağlam, M. A.
 Cengiz (2022) <doi:10.1016/j.eswa.2022.117023>. It is a SMOTE-based
 resampling technique which creates synthetic data on the links between
 nearest neighbors. SMOTEWB uses boosting weights to determine where to
 generate new samples and automatically decides the number of neighbors for
 each sample. It is robust to noise and outperforms most of the alternatives
 according to Matthew Correlation Coefficient metric.  Alternative resampling
 methods are also available in the package.

Package: r-cran-smovie
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1998
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rpanel
Suggests: r-cran-knitr, r-cran-numderiv, r-cran-revdbayes, r-cran-tkrplot, r-cran-testthat, r-cran-rmarkdown, r-cran-suppdists
Filename: pool/dists/focal/main/r-cran-smovie_1.1.6-1.ca2004.1_all.deb
Size: 1471404
MD5sum: d62fcf1a18e580dec0528f156d674365
SHA1: 2bbdaecd0a0b70e63e7c1ea58d589205672d0244
SHA256: 3ad27c5202ff1436bd79bd60a6331759b8811cc41cf66f96b7ccf445b7c4e707
SHA512: 833eaa79f6450d917518a26885a344b36886f1d1e1e9364b734041400fd49264ad7ba9891b42f3dc1f99a553d76abb3d77d6bd27f8cfb4ec2749d7c6d2385197
Homepage: https://cran.r-project.org/package=smovie
Description: CRAN Package 'smovie' (Some Movies to Illustrate Concepts in Statistics)
 Provides movies to help students to understand statistical concepts.  The
 'rpanel' package <https://cran.r-project.org/package=rpanel> is used to
 create interactive plots that move to illustrate key statistical ideas and
 methods.  There are movies to: visualise probability distributions
 (including user-supplied ones); illustrate sampling distributions of the
 sample mean (central limit theorem), the median, the sample maximum
 (extremal types theorem) and (the Fisher transformation of the) product
 moment correlation coefficient; examine the influence of an individual
 observation in simple linear regression; illustrate key concepts in
 statistical hypothesis testing. Also provided are dpqr functions for the
 distribution of the Fisher transformation of the correlation coefficient
 under sampling from a bivariate normal distribution.

Package: r-cran-smpic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-imager, r-cran-ggplot2, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-smpic_0.1.0-1.ca2004.1_all.deb
Size: 64204
MD5sum: 9659f6bde13a3e516c65979a4f72bd1a
SHA1: 0d8c1570da1bee3a1a86d149c3d93f09dc83564e
SHA256: 49c925e0a84d86f527d978ef2ee10695fb799b653f64fc4776bfa02385ef4eba
SHA512: b8d1598b29fc6ac5d7f9f6103b97f60c48d850633c8a758025adcf9889ffb1a70f80aaa5f58b8e9da40745e28d0b9c73d70e78eff644dd4b7a5ed2867d8f13a1
Homepage: https://cran.r-project.org/package=smpic
Description: CRAN Package 'smpic' (Creates Images Sized for Social Media)
 Creates images that are the proper size for social media. Beautiful plots,
 charts and graphs wither and die if they are not shared. Social media is
 perfect for this but every platform has its own image dimensions. With
 'smpic' you can easily save your plots with the exact dimensions needed for
 the different platforms.

Package: r-cran-smplot2
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 419
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-cowplot, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-pwr, r-cran-hmisc, r-cran-zoo, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-smplot2_0.2.5-1.ca2004.1_all.deb
Size: 364028
MD5sum: 16b169d25f4e9796ed5473f31b1c9d51
SHA1: ab97a84ed4730f7bb2d204fd059efb07ea8b8681
SHA256: 9471e2172ecefff84309eb8e5a6cc42be3256dfd72e5a4ff103ec0a02be988ec
SHA512: 88743fefa09399b9e1fc0efe9727fc7a5819d3df4e93d74e61125b5644c8cee048c2a95d3f3304e06a7cff661e4315323e2f2aa08565e3b7ae244047f423d5c1
Homepage: https://cran.r-project.org/package=smplot2
Description: CRAN Package 'smplot2' (Create Standalone and Composite Plots in 'ggplot2' forPublications)
 Provides functions for creating and annotating a composite plot in
 'ggplot2'. Offers background themes and shortcut plotting functions that
 produce figures that are appropriate for the format of scientific journals.
 Some methods are described in Min and Zhou (2021)
 <doi:10.3389/fgene.2021.802894>.

Package: r-cran-smpracticals
Architecture: all
Version: 1.4-3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ellipse, r-cran-mass, r-cran-nlme, r-cran-survival
Filename: pool/dists/focal/main/r-cran-smpracticals_1.4-3.2-1.ca2004.1_all.deb
Size: 357400
MD5sum: 4d5c128774683a76b161f45c1f057783
SHA1: 57920a31287cef43217fc74f604aab93a34b68c7
SHA256: 2a5da63e52511c09108d5e43a66405a124c4d457e0bada3d2445b14115b1d31e
SHA512: 45b54829c840ceca467e753798007f65a775b051d62c2cff508d2f280f12e59b8fc468ebf23ad68b80081ee304e5df067e954531859ad6660d95d6e58775d7f1
Homepage: https://cran.r-project.org/package=SMPracticals
Description: CRAN Package 'SMPracticals' (Practicals for Use with Davison (2003) Statistical Models)
 Contains the datasets and a few functions for use with the practicals
 outlined in Appendix A of the book Statistical Models (Davison, 2003,
 Cambridge University Press), which can be found at
 <doi:10.1017/CBO9780511815850>.

Package: r-cran-sms
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-sms_2.3.1-1.ca2004.1_all.deb
Size: 62440
MD5sum: d19b06ffac99a7669097e99e6ece2860
SHA1: 6a153075ecef8ae78eb1d8141d9fd8e567be081d
SHA256: 31fb9687c3f03e371a2791b644f32852b6d3c2f35dcb48d1138563edeaa47a1c
SHA512: a02c7d46f33074f21194c16b19a166506bd1672cc54b11c8270f4dc6c71e14aee45f92949e1ae2da01f8cb09d279c694caa867b452177c00e40a8439ca64931f
Homepage: https://cran.r-project.org/package=sms
Description: CRAN Package 'sms' (Spatial Microsimulation)
 Produce small area population estimates by fitting census data to survey
 data.

Package: r-cran-smsroc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-rms, r-cran-foreach, r-cran-ggplot2, r-cran-flextable, r-cran-plotroc, r-cran-icenreg, r-cran-thregi
Filename: pool/dists/focal/main/r-cran-smsroc_0.1.2-1.ca2004.1_all.deb
Size: 226688
MD5sum: 8c8af8d05b296319804a7ca266652b00
SHA1: 0f259aefb3375c35fd49b02c9b4d597f92e390a4
SHA256: 888d98c517b0457775c0c47d33174a96a53dfe29948c2cf393166107f7b0922d
SHA512: 466e168d7e1b8add685e156950ec37346d8c221b3c6c596dd5d1fce64d1a4d15e4da6bb94d5392a09264e93f3c95ab8f1c2c7e2ba0aeb9f33b120028274cad92
Homepage: https://cran.r-project.org/package=sMSROC
Description: CRAN Package 'sMSROC' (Assessment of Diagnostic and Prognostic Markers)
 Provides estimations of the Receiver Operating Characteristic (ROC) curve
 and the Area Under the Curve (AUC) based on the two-stages mixed-subjects
 ROC curve estimator (Diaz-Coto et al. (2020) <doi:10.1515/ijb-2019-0097> and
 Diaz-Coto et al. (2020) <doi:10.1080/00949655.2020.1736071>).

Package: r-cran-smss
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-devtools
Filename: pool/dists/focal/main/r-cran-smss_1.0-2-1.ca2004.1_all.deb
Size: 71908
MD5sum: 1aeb891d8adcde1c19003d337b1d9d36
SHA1: c09c36a15631bd7afed6f11fc5c45891826e8f53
SHA256: 5c16057c8a35e36c96091bf2cfbfecf10e1d3708d854332b99cf9cd7f55748ec
SHA512: fb6f754270251eca1727e13136c64de41a6befde2d00bc0e4d27c208d35dfe0ff4a6ada95c3227187a8b5a452641bf4a7efaa14a196a89c759079f6954c2b0d1
Homepage: https://cran.r-project.org/package=smss
Description: CRAN Package 'smss' (Datasets for Agresti and Finlay's "Statistical Methods for theSocial Sciences")
 Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by
 Alan Agresti and Barbara Finlay.

Package: r-cran-smtl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-juliacall, r-cran-juliaconnector, r-cran-caret, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-smtl_0.1.0-1.ca2004.1_all.deb
Size: 144420
MD5sum: f7f901d3dafb74ab692c6bca3caf03e1
SHA1: 59707875e62a613ff7ecc64d0f034e8e8b17410a
SHA256: 24c46aa15b4b7229fc9a2cab98405a8227aaf2f3b20e08dba7c2c84cb68ecfc0
SHA512: c7a942cfd4d254acb02ad5be8f7acdfb01c0aeffd672a23116db085855c858d9fb25144122792d3e6ce1565f8fa0439c7beeebdaa921a1d4894ab30e37ea87d3
Homepage: https://cran.r-project.org/package=sMTL
Description: CRAN Package 'sMTL' (Sparse Multi-Task Learning)
 Implements L0-constrained Multi-Task Learning and domain generalization
 algorithms. The algorithms are coded in Julia allowing for fast
 implementations of the coordinate descent and local combinatorial search
 algorithms. For more details, see a preprint of the paper: Loewinger et al.,
 (2022) <arXiv:2212.08697>.

Package: r-cran-smvar
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1037
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-smvar_1.3.4-1.ca2004.1_all.deb
Size: 1010288
MD5sum: 942b8aa9156432ae068cea1cc8eeb950
SHA1: aa93e5430370942dc536b8f4651d8989e0894377
SHA256: 0e486ddec8a1f417572cae5c3c5971a514b6629c9bc0d32bda5f4e2946210925
SHA512: 46977d453366a90f93b42917e8f52c0d8ddec0536c5e7a226379441c917aff3cd5b38700349752a6e40e9ca837183053b80b5635421a76a362cf998e2aa88727
Homepage: https://cran.r-project.org/package=SMVar
Description: CRAN Package 'SMVar' (Structural Model for Variances)
 Implementation of the structural model for variances in order to detect
 differentially expressed genes from gene expression data.

Package: r-cran-smvgraph
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-fmsb, r-cran-desctools, r-cran-shiny, r-cran-shinydashboard, r-cran-sortable
Filename: pool/dists/focal/main/r-cran-smvgraph_0.1.2-1.ca2004.1_all.deb
Size: 65476
MD5sum: 2da1b49e60e2e72a024a59f016ae4171
SHA1: 8f60333de141577a076fd5654b19c19de9110cb1
SHA256: bef3100cd5fe8f701ee7c15607d4be20b77d377c64f2340fc687c65a5f61be62
SHA512: d1bcfbf5ce43bdcc3648e6c9fe1958cff9b6324fc50776f5c8a25275036d01fc201a0373e61ef938a1c536f131813f42fa4753ce93c5eb1f64cd1e13045bcba6
Homepage: https://cran.r-project.org/package=smvgraph
Description: CRAN Package 'smvgraph' (Various Multivariate Graphics with Variable Choice in Shiny Apps)
 Mosaic diagram, scatterplot matrix, Andrews curves, parallel coordinate
 diagram, radar diagram, and Chernoff plots as a Shiny app, which allow the
 order of variables to be changed interactively.  The apps are intended as
 teaching examples.

Package: r-cran-smvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-dplyr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-smvr_0.1.0-1.ca2004.1_all.deb
Size: 104116
MD5sum: 9aa88dc45af156c87379c1b3ffe4ce4f
SHA1: 5a79d8beaafda2cfb6072dcd9f15387630a58421
SHA256: 692b7380efd7a64faa8258b32da637016baac4260fa7fceda3cd9b4c29f5dd5a
SHA512: 7aa4dc96f0c61b20d26564a33fd68098c86abfd5164eefadb7e402a92ed4d5c1a863655aef069286a43e9d979c574afee3f16811dc4f21fcf30847acca019522
Homepage: https://cran.r-project.org/package=smvr
Description: CRAN Package 'smvr' (Simple Implementation of Semantic Versioning)
 Simple implementation of Semantic Versioning 2.0.0 on the 'vctrs' package.
 This package provides a simple way to create, compare, and manipulate
 semantic versions in R. It is designed to be lightweight and easy to use.

Package: r-cran-sn
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1959
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mnormt, r-cran-numderiv, r-cran-quantreg
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-sn_2.1.1-1.ca2004.1_all.deb
Size: 1810152
MD5sum: 66c55ec4e4cf0405ea667ea1b3a335c9
SHA1: 4c29d5e683b8b4bb74490251dcb14758a5ad8a31
SHA256: 3e3f8dda280c85db9d9ce833790bff229b2a4888466f949932093f091525e331
SHA512: c4d6ab6020b7ce0041991f42f01ae444b6c8c46a95e42221313852a2a1d4d057c2bc2d0604bb74831b97b6b94a0eda3b591bac88b1a27d22e5d53703a174e031
Homepage: https://cran.r-project.org/package=sn
Description: CRAN Package 'sn' (The Skew-Normal and Related Distributions Such as the Skew-t andthe SUN)
 Build and manipulate probability distributions of the skew-normal family and
 some related ones, notably the skew-t and the SUN families.  For the
 skew-normal and the skew-t distributions, statistical methods are provided
 for data fitting and model diagnostics, in the univariate and the
 multivariate case.

Package: r-cran-snahelper
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggraph, r-cran-graphlayouts, r-cran-igraph, r-cran-formatr, r-cran-miniui, r-cran-rstudioapi, r-cran-ggplot2, r-cran-shiny, r-cran-colourpicker, r-cran-dt
Suggests: r-cran-ggforce
Filename: pool/dists/focal/main/r-cran-snahelper_1.4.2-1.ca2004.1_all.deb
Size: 104592
MD5sum: 3214a54159546d4a7503499da9e82660
SHA1: 31e02e11a124d24f8d09ea4060980618f47ac0ad
SHA256: fcd3293b3e06782682a4fc3c4ca5757ae3d063e9c60f531ad6aaa2bcbd3bba18
SHA512: 00f0d27982de6623a77243e817cca66dc0e03690a3519caee7682774ab49f45308a4e8d22bf669738656e86bb6796370c5f96fa02d3a4bc37f2e1b74ab0834c1
Homepage: https://cran.r-project.org/package=snahelper
Description: CRAN Package 'snahelper' ('RStudio' Addin for Network Analysis and Visualization)
 'RStudio' addin which provides a GUI to visualize and analyse networks.
 After finishing a session, the code to produce the plot is inserted in the
 current script.  Alternatively, the function SNAhelperGadget() can be used
 directly from the console.  Additional addins include the Netreader() for
 reading network files, Netbuilder() to create small networks via point and
 click, and the Componentlayouter() to layout networks with many components
 manually.

Package: r-cran-snake
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snake_1.0-1.ca2004.1_all.deb
Size: 250356
MD5sum: e17267975b1a9aa523497cb06a461c3a
SHA1: 2e66088b8781825de86ba6779d82543237673fee
SHA256: 9af5f279dd41c8e9b7d2b7aae7565629223f6d9dd8fbcf61e99c57a1a685fdab
SHA512: b608cd191d7d5e1d1c8c08390c75e7b268b1c9c7f627a8f61671242f1d8617dd458f4643130ae256d7a0738fd413afe86ec3c4409e63d4b5aaeb7f3f00930613
Homepage: https://cran.r-project.org/package=Snake
Description: CRAN Package 'Snake' (Game of Snake)
 Implements snake in R as a programming example, see
 <https://en.wikipedia.org/wiki/Snake_(video_game_genre)>.

Package: r-cran-snakecase
Architecture: all
Version: 0.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-stringi
Suggests: r-cran-testthat, r-cran-covr, r-cran-tibble, r-cran-purrrlyr, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-snakecase_0.11.1-1.ca2004.1_all.deb
Size: 157444
MD5sum: b73e26fb6c450816fa5c95e7d813a63f
SHA1: 113dd0501ecc1c167531ec1b99433e528ea064bc
SHA256: 4ae59d83bb93dfaf498546af71af7569a2a75fc743a4597eb2f1b49ea4c56bf3
SHA512: 08288fe73542dc989f42b7be7fdd380b3fb66fdec50823971af6b77592d9bd8c8b541db355a2fdc3a83181ad82efe760cbc1418e886caf639d0bd55d1c2fba0e
Homepage: https://cran.r-project.org/package=snakecase
Description: CRAN Package 'snakecase' (Convert Strings into any Case)
 A consistent, flexible and easy to use tool to parse and convert strings
 into cases like snake or camel among others.

Package: r-cran-snakesandladdersanalysis
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snakesandladdersanalysis_2.1.0-1.ca2004.1_all.deb
Size: 31024
MD5sum: f72834b26a9f6b3690316a01c60a9b0f
SHA1: c4a9649bb613f39bb03c9f300d50577a8f0432a7
SHA256: 45bc2bfa4e8e9d05ab376ef2174fed80b335278e0c24598421ecf4d82ea7a69e
SHA512: 8ae789f66f4f47b7ddac71879e6dccd818f1eb685d0aa8c60169a6ddfe57a649cf7cc4586a0ca9a4d20b5241aa664347aaabe35bbcca85b707f0d441b342ae5d
Homepage: https://cran.r-project.org/package=SnakesAndLaddersAnalysis
Description: CRAN Package 'SnakesAndLaddersAnalysis' (Play and Analyse the Game of Snakes and Ladders)
 Plays the game of Snakes and Ladders and has tools for analyses. The tools
 included allow you to find the average moves to win, frequency of each
 square, importance of the snakes and the ladders, the most common square and
 the plotting of the game played.

Package: r-cran-snap
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-dplyr, r-cran-purrr, r-cran-forcats, r-cran-tictoc, r-cran-readr, r-cran-ggplot2, r-cran-corelearn, r-cran-dbscan, r-cran-stringr, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-snap_1.1.0-1.ca2004.1_all.deb
Size: 87728
MD5sum: 0388e39fedeabeac22c7fa5873a02e3e
SHA1: c515d1001957bb00037633818cf0163166f80e91
SHA256: 60cde8122dcdd16adb5bae391922d6cdc9611168b33dce9246e7c27f5663fa6c
SHA512: d16142997819adfe0cb0b63a8a867606bd9fd49d7aa1807cf87da4a232d559f19641540c9fadb9936c676f10d3267df20bf5a7d24672f796df20b4390e2f7d46
Homepage: https://cran.r-project.org/package=snap
Description: CRAN Package 'snap' (Simple Neural Application)
 A simple wrapper to easily design vanilla deep neural networks using
 'Tensorflow'/'Keras' backend for regression, classification and multi-label
 tasks, with some tweaks and tricks (skip shortcuts, embedding, feature
 selection and anomaly detection).

Package: r-cran-snapchatadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-snapchatadsr_0.1.0-1.ca2004.1_all.deb
Size: 22280
MD5sum: 7b30bf6df09bff821ed68135657029f4
SHA1: 80a95be359aaaf296817f1886f3ece8ff5b1dca6
SHA256: 5017f976c954306f385ce01e1730448d700e578c4f2fc167e3e02a399b3250f6
SHA512: 416ab396ed9757475a6f548e0319ff78efc615afc5f67597f98c363ab8052db35410d096bc598aad502b75c4ca2f4461e01046d87e669984aa6e15a61502bac7
Homepage: https://cran.r-project.org/package=snapchatadsR
Description: CRAN Package 'snapchatadsR' (Get Snapchat Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Snapchat Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-snapkrig
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1707
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-raster, r-cran-sf, r-cran-units, r-cran-sp
Filename: pool/dists/focal/main/r-cran-snapkrig_0.0.2-1.ca2004.1_all.deb
Size: 1423776
MD5sum: e0b26fd8aa41512ebbfa8adb414a0d99
SHA1: 081a8b453eb399abc8d78b47b1a5bbfecdba611e
SHA256: 1cae09fe22d4003ccf86b8fe16588fa6391a7b0057e5dbf123d98a52a01c5649
SHA512: 9e0c178f651b2d73bb90ec5e564d708c458c1a5d1ac84af673f58764e42be6001e4c61252178f6d20acdeec5729014a8b8f7f5c3eca841965f42427e311efdb9
Homepage: https://cran.r-project.org/package=snapKrig
Description: CRAN Package 'snapKrig' (Fast Kriging and Geostatistics on Grids with KroneckerCovariance)
 Geostatistical modeling and kriging with gridded data using spatially
 separable covariance functions (Kronecker covariances). Kronecker products
 in these models provide shortcuts for solving large matrix problems in
 likelihood and conditional mean, making 'snapKrig' computationally efficient
 with large grids. The package supplies its own S3 grid object class, and a
 host of methods including plot, print, Ops, square bracket replace/assign,
 and more. Our computational methods are described in Koch, Lele, Lewis
 (2020) <doi:10.7939/r3-g6qb-bq70>.

Package: r-cran-snapshot
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snapshot_0.1.2-1.ca2004.1_all.deb
Size: 39412
MD5sum: d212174613a912f45aa21bef159c20b9
SHA1: d9c1dd1efc91280c32504dcab99843cde8e0722d
SHA256: 6f22b8051aedb723b2c635aef5e3b46cd35252acd2b16333dd1e65d20fe93ffe
SHA512: 19a62e308a25967e20ca6696fcc459126bc1845c48891692ce2034bd7ddffed96ca3b6c1883281bdbc02f4e74a3835048321d757ce894e79e4d1d318d608c2e9
Homepage: https://cran.r-project.org/package=snapshot
Description: CRAN Package 'snapshot' (Gadget N-body cosmological simulation code snapshot I/Outilities)
 Functions for reading and writing Gadget N-body snapshots. The Gadget code
 is popular in astronomy for running N-body / hydrodynamical cosmological and
 merger simulations. To find out more about Gadget see the main distribution
 page at www.mpa-garching.mpg.de/gadget/

Package: r-cran-snazzier
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-knitr, r-cran-kableextra, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-snazzier_0.1.1-1.ca2004.1_all.deb
Size: 130492
MD5sum: 82e486255ebecc4dfb6d65aa9f1f3e44
SHA1: fa95e9a207662895cc86850eb1125569beb544d6
SHA256: f70fe6799f8a082d232aab542172a5baa2746f3c99f2aadb53ec728009872e97
SHA512: cf038e696753bd8a0c1daaef93761da2558f2cea580dcb274b9a4734cfd801b6a85dddb76a7e9627bac6e4618167a673b4ac0011ffb797fdff726b405c8028c0
Homepage: https://cran.r-project.org/package=snazzieR
Description: CRAN Package 'snazzieR' (Chic and Sleek Functions for Beautiful Statisticians)
 Because your linear models deserve better than console output.  A sleek
 color palette and kable styling to make your regression results look sharper
 than they are.  Includes support for Partial Least Squares (PLS) regression
 via both the SVD and NIPALS algorithms, along with a unified interface for
 model fitting and fabulous LaTeX and console output formatting.  See the
 package manual at
 <https://github.com/JesusButForGayPeople/snazzieR/releases/download/v0.1.1/snazzieR_0.1.1.pdf>.

Package: r-cran-snbdata
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-jsonlite, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-snbdata_0.2.1-1.ca2004.1_all.deb
Size: 26792
MD5sum: 312c1f919ac825bfdd91633c4e33136f
SHA1: fe3d3076aa128667d9aa79d52162d47205f7069d
SHA256: 9c0e3a9dd4cb371e4feaa473729d58f61793c205a397030fa918838824ebc40e
SHA512: ad4fd3985967a3ebf40b54a80f695ca018c3ecee8c06f7539c4dbcfddeba92d960f3c8154b77acc0a596c0d7545daf77a166f9d89d97ab0d23bbbf7103aab94d
Homepage: https://cran.r-project.org/package=SNBdata
Description: CRAN Package 'SNBdata' (Download Data from the Swiss National Bank (SNB))
 Download data (tables and datasets) from the Swiss National Bank (SNB;
 <https://www.snb.ch/en>), the Swiss central bank.  The package is
 lightweight and comes with few dependencies; suggested packages are used
 only if data is to be transformed into particular data structures, for
 instance into 'zoo' objects.  Downloaded data can optionally be cached, to
 avoid repeated downloads of the same files.

Package: r-cran-snem
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-sn
Filename: pool/dists/focal/main/r-cran-snem_0.1.1-1.ca2004.1_all.deb
Size: 17972
MD5sum: ca5d222eed637e0ed3818a50fa897cc0
SHA1: 385310cd1b34a9bd1708fb809a7737a24a15c470
SHA256: 6dd4c1f30f64abb4f0a9c334b576278dbd4c6dc1a0525667b5b077c0a2f1bbcc
SHA512: 1917df8ae54dce6c57c3e895bad26bca77b4f62b5832b21b5ef0ee1afbc4b75de0474d7e585329b479d10be1bd637dcfcd78ad1af4d39d792631bff1eb3c5a83
Homepage: https://cran.r-project.org/package=snem
Description: CRAN Package 'snem' (EM Algorithm for Multivariate Skew-Normal Distribution withOverparametrization)
 Efficient estimation of multivariate skew-normal distribution in closed
 form.

Package: r-cran-snfa
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-ggplot2, r-cran-prodlim, r-cran-quadprog, r-cran-rdpack, r-cran-rootsolve
Filename: pool/dists/focal/main/r-cran-snfa_0.0.1-1.ca2004.1_all.deb
Size: 82680
MD5sum: acd7fe502bf05e91035961d984975f82
SHA1: 749a50e6677b3659c3f65efca387669b50405532
SHA256: 21ced0bbb27a73c2cb6ee207ec22b8dfd5f27d896951f12153fbec65ee07788c
SHA512: 3ccd8c473fdff828e17e23fcb0bdac04506e8388d87415e7432f8cb18e1532b04e6f7ad70bee9cef91619efe546ff33d7a4f3fe83957cb4bd40d891f841acb96
Homepage: https://cran.r-project.org/package=snfa
Description: CRAN Package 'snfa' (Smooth Non-Parametric Frontier Analysis)
 Fitting of non-parametric production frontiers for use in efficiency
 analysis.  Methods are provided for both a smooth analogue of Data
 Envelopment Analysis (DEA) and a non-parametric analogue of Stochastic
 Frontier Analysis (SFA). Frontiers are constructed for multiple inputs and a
 single output using constrained kernel smoothing as in Racine et al. (2009),
 which allow for the imposition of monotonicity and concavity constraints on
 the estimated frontier.

Package: r-cran-snftool
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-exposition, r-cran-alluvial
Filename: pool/dists/focal/main/r-cran-snftool_2.3.1-1.ca2004.1_all.deb
Size: 311020
MD5sum: 061cec2299099b0751e5f048ee46f0a9
SHA1: 2d2da204f9c9de7cdb9c9091a61d82dd364ef1c6
SHA256: f2836394a18386d6b600d7fc6b0445c191b1f2589a16c0dcefde2ee10505be7c
SHA512: 04af0cbe0e39f8796f6b6adf9e1461123fee028f1b79b23de3462b4d27a9c9d2efa804e3b176a289ab7a35a4ecca1d5fcba50d70b4009d544b96312b4f26ceb1
Homepage: https://cran.r-project.org/package=SNFtool
Description: CRAN Package 'SNFtool' (Similarity Network Fusion)
 Similarity Network Fusion takes multiple views of a network and fuses them
 together to construct an overall status matrix. The input to our algorithm
 can be feature vectors, pairwise distances, or pairwise similarities. The
 learned status matrix can then be used for retrieval, clustering, and
 classification.

Package: r-cran-snha
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-snha_0.1.3-1.ca2004.1_all.deb
Size: 401288
MD5sum: 03d62699723e3f17d5658301ba036541
SHA1: 4820e390d75ea843e277852966aa08ae74230b5a
SHA256: 723e6948fc320ace67313fb49c4a57dde2ff4214d46bdc5c0b4d346b9d95aa4f
SHA512: 26ecb108e6a3294f0295460e0affc0f2d1d6cf8262cfe4895faadbf6e4906fb2839fd28b0912dca9cd8c9c43833793ffcf2080e4a4325af117a409092f0ac8b1
Homepage: https://cran.r-project.org/package=snha
Description: CRAN Package 'snha' (Creating Correlation Networks using St. Nicolas House Analysis)
 Create correlation networks using St. Nicolas House Analysis ('SNHA').  The
 package can be used for visualizing multivariate data similar to Principal
 Component Analysis or Multidimensional Scaling using a ranking approach.  In
 contrast to 'MDS' and 'PCA', 'SNHA' uses a network approach to explore
 interacting variables.  For details see 'Hermanussen et. al. 2021',
 <doi:10.3390/ijerph18041741>.

Package: r-cran-snht
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 548
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-ggplot2, r-cran-gridextra, r-cran-zoo, r-cran-plyr, r-cran-reshape2
Suggests: r-cran-mvtnorm, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-snht_1.0.5-1.ca2004.1_all.deb
Size: 438296
MD5sum: 39caa1d3adba9369da482193fddae67e
SHA1: bfa1db127664e87705e02304c5a1f959bae3945c
SHA256: 6e28fbdcdeff85cbaaa449c0e771e1bfd1aaa267b38f8095a000e1ef0d422cae
SHA512: 0d5e14793ca15f3df1b6416f5d08e96661b2242de9ecd9bd91c15d28425e1814505eec0f233863eac6fa2290fc68cdf1545e81f187b8726af56a9346de36eb2d
Homepage: https://cran.r-project.org/package=snht
Description: CRAN Package 'snht' (Standard Normal Homogeneity Test)
 Implementation of robust and non-robust Standard Normal Homogeneity Test
 (SNHT) for changepoint detection. This test statistic is equal sided, as
 proposed in "Homogenization of Radiosonde Temperature Time Series Using
 Innovation Statistics" by Haimberger, L., 2007. However, the statistic
 contains an estimate of sigma^2 in the denominator instead of sigma, which
 seems to be a more appropriate value (based on the paper "Homogenization of
 Swedish temperature data. Part I: Homogeneity test for linear trends." by
 Alexandersson, H., and A. Moberg, 1997).

Package: r-cran-snn
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snn_1.1-1.ca2004.1_all.deb
Size: 43976
MD5sum: fe80b01fa0c4db943fdfbeb50dec8781
SHA1: a142661dcce0786f3cad5252d51f98561c5af254
SHA256: 4b547e5fd1093b487340eb3da43fd422436c29aec1def72f01211b096914858b
SHA512: 49079400f4614fbac07dbed84c48462a475343e306e493c3d7bab110276ce45dbb2eb627272b8c99fb4e1304d3ee15d3ae0c26fb7b206e2457a3b43617db5454
Homepage: https://cran.r-project.org/package=snn
Description: CRAN Package 'snn' (Stabilized Nearest Neighbor Classifier)
 Implement K-nearest neighbor classifier, weighted nearest neighbor
 classifier, bagged nearest neighbor classifier, optimal weighted nearest
 neighbor classifier and stabilized nearest neighbor classifier, and perform
 model selection via 5 fold cross-validation for them. This package also
 provides functions for computing the classification error and classification
 instability of a classification procedure.

Package: r-cran-snotelr
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-httr, r-cran-rvest, r-cran-dplyr, r-cran-memoise
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-shinydashboard, r-cran-leaflet, r-cran-plotly, r-cran-dt
Filename: pool/dists/focal/main/r-cran-snotelr_1.5.2-1.ca2004.1_all.deb
Size: 85596
MD5sum: 4380478218023679d2a01ef5554eb69c
SHA1: ca101de39be27d4121013afb76753bfb3d91cd04
SHA256: 18d769392fc7176b05482ded5b585b643398fbe875d61b339718d5cae0b21070
SHA512: f881057efead6af8b79bc1779f1e4f6aac633a6d06053ff04c84acfa34f61585da8406e8522056f11991021fe0049fd2b85e0ea51b43f751888c6e74a47d8332
Homepage: https://cran.r-project.org/package=snotelr
Description: CRAN Package 'snotelr' (Calculate and Visualize 'SNOTEL' Snow Data and Seasonality)
 Programmatic interface to the 'SNOTEL' snow data
 (<https://www.nrcs.usda.gov/programs-initiatives/sswsf-snow-survey-and-water-supply-forecasting-program>).
 Provides easy downloads of snow data into your R work space or a local
 directory. Additional post-processing routines to extract snow season
 indexes are provided.

Package: r-cran-snow
Architecture: all
Version: 0.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rlecuyer
Filename: pool/dists/focal/main/r-cran-snow_0.4-4-1.ca2004.1_all.deb
Size: 96748
MD5sum: 384f63d03fbf857b6477969abe54dce5
SHA1: 355370709abd2a5a35e43aaa43d0317b7fed0e56
SHA256: 6e742699dd2563b2ad7c4a771b40455302a4ea6ff727eb0f5d0ec8bb3ab84fc3
SHA512: 322e133ea57dcd5b6743fba0a0e283d1e8da0d4ce14fa45ea54ead6f5dfc947eb40a726572f79dcb46017b4762d6790b800034d6333ffc8931d4e5eea7ee6929
Homepage: https://cran.r-project.org/package=snow
Description: CRAN Package 'snow' (Simple Network of Workstations)
 Support for simple parallel computing in R.

Package: r-cran-snowdata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Filename: pool/dists/focal/main/r-cran-snowdata_1.0.0-1.ca2004.1_all.deb
Size: 29884
MD5sum: 0e0978dfe837f68760ac2087e2a1f737
SHA1: 62a234cf09298a1d927ca098790c76241cea84da
SHA256: a2e30a82c087574ceb7b6d811c1f56b76429882815f1e316307681bbbbc289d0
SHA512: 989f6618223600cfea81e9358828077433a67ad69794b8d507a51de428344e3f267ad34f6563a9fc8f9e6e56ef10c401695c7e577239075a4e8bafce99e8a3bf
Homepage: https://cran.r-project.org/package=SnowData
Description: CRAN Package 'SnowData' (Historical Data from John Snow's 1854 Cholera Outbreak Map)
 Provides historical datasets related to John Snow's 1854 cholera outbreak
 study in London. Includes data on cholera cases, water pump locations, and
 the street layout, enabling analysis and visualisation of the outbreak.

Package: r-cran-snowfall
Architecture: all
Version: 1.84-6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-snow
Suggests: r-cran-rmpi
Filename: pool/dists/focal/main/r-cran-snowfall_1.84-6.3-1.ca2004.1_all.deb
Size: 248832
MD5sum: ce6d29e185b488cdc9dbe71b49362108
SHA1: 95c8e690769c9f6f33241da16633951e4a246ba2
SHA256: 7dcdd6f537f065e8887d8eda36a2a3cf88d6cecd80a5a775ecb3c471920e63cd
SHA512: c78dfd6c6002951df6b9a41cd199197358d54b71ecf1463d8298fe92fbf6b65ed0e282aeae9828341c1c868e2b9c8b53fece9fb61c333275197c2edbdd075d78
Homepage: https://cran.r-project.org/package=snowfall
Description: CRAN Package 'snowfall' (Easier Cluster Computing (Based on 'snow'))
 Usability wrapper around snow for easier development of parallel R programs.
 This package offers e.g. extended error checks, and additional functions.
 All functions work in sequential mode, too, if no cluster is present or
 wished.  Package is also designed as connector to the cluster management
 tool sfCluster, but can also used without it.

Package: r-cran-snowflakeauth
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-jsonlite, r-cran-rcpptoml, r-cran-rlang
Suggests: r-cran-jose, r-cran-openssl, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-snowflakeauth_0.1.2-1.ca2004.1_all.deb
Size: 40536
MD5sum: 579c61dcbee2221c4a8784f40f46ee98
SHA1: 24fa6b724d0542b6e478b2b5ea0f3183203be840
SHA256: 64b598da15a019679131b2cef9be6949e4c4f76aa08e0c2ec1433625c0890283
SHA512: 71abea890d47169987e6e9316c047f19f72cfb082804587744d008ac9ed21c1b68c095f124dbeef77c2359c9514500d3c6338ed8ed5f7fe2bfb3ea46a7e4bee2
Homepage: https://cran.r-project.org/package=snowflakeauth
Description: CRAN Package 'snowflakeauth' (Authentication Helpers for 'Snowflake')
 Authentication helpers for 'Snowflake'.  It provides compatibility with
 authentication approaches supported by the 'Snowflake Connector for Python'
 <https://pypi.org/project/snowflake-connector-python> and the 'Snowflake
 CLI' <https://pypi.org/project/snowflake-cli>.

Package: r-cran-snowflakes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-snowflakes_1.0.0-1.ca2004.1_all.deb
Size: 486428
MD5sum: 6ed9a6ad168153a82261d6001a29439a
SHA1: 5b1794fd78f3fc749d1fcbde5534a09328505721
SHA256: 343ec4b25d6d87426da7d6cf456adc5c47a11e10cd6e199fe986fe6d6e85fe0a
SHA512: 301f7b3f9c8e17c0181be71f251c35ef0e7f1e4ec96b6a322c2c6b42090bad217c830f51fa9f30883ccdfe9e0dd6ddb21849f54539fbf6567236ac49239de56c
Homepage: https://cran.r-project.org/package=snowflakes
Description: CRAN Package 'snowflakes' (Random Snowflake Generator)
 The function generates and plots random snowflakes. Each snowflake is
 defined by a given diameter, width of the crystal, color, and random seed.
 Snowflakes are plotted in such way that they always remain round, no matter
 what the aspect ratio of the plot is. Snowflakes can be created using
 transparent colors, which creates a more interesting, somewhat realistic,
 image. Images of the snowflakes can be separately saved as svg files and
 used in websites as static or animated images.

Package: r-cran-snowft
Architecture: all
Version: 1.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlecuyer, r-cran-snow
Suggests: r-cran-rmpi
Filename: pool/dists/focal/main/r-cran-snowft_1.6-1-1.ca2004.1_all.deb
Size: 76152
MD5sum: 081614c20fa5280d8892844cbd252708
SHA1: 59bf29a12c8b5f3ba7bbc6d58fef063091193df1
SHA256: 66ad8b966999c71eef0a06d18bedc7456794e663c4559af0a3aab81ff8df3fa0
SHA512: 4275235ffbe5c90419b867b3d5b00e5182fd596f631bbe359f7c9373c95de0ab0922c50cf8cf8ccdb4f819f5a4dc11f794d2097223cf6928702a4564c1655adb
Homepage: https://cran.r-project.org/package=snowFT
Description: CRAN Package 'snowFT' (Fault Tolerant Simple Network of Workstations)
 Extension of the snow package supporting fault tolerant and reproducible
 applications, as well as supporting easy-to-use parallel programming - only
 one function is needed. Dynamic cluster size is also available.

Package: r-cran-snowquery
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-yaml, r-cran-dbi, r-cran-rpostgres, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-snowquery_1.2.1-1.ca2004.1_all.deb
Size: 22152
MD5sum: 0a11b9c7af1a41a3bdedbc806dac8599
SHA1: 83635e91e9f41bfcf19188b67e5bc44dfdb6945d
SHA256: 3abf9944d507629538e949f7d472346a88e87ab596cdd255d36ecaffec39840e
SHA512: 35d9816dd711f83b1afdb95858e04b92828c5d4deac0726d6187f47465f82cfdec8ea4c327eb783d97ba582bc8da190e0033764a267f2fbc459d7e87a890682d
Homepage: https://cran.r-project.org/package=snowquery
Description: CRAN Package 'snowquery' (Query 'Snowflake' Databases with 'SQL')
 A wrapper allowing 'SQL' queries to be run on a 'Snowflake' instance
 directly from an 'R' script, by using the 'snowflake-connector-python'
 package in the background.

Package: r-cran-snpaimer
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adegenet, r-cran-doparallel, r-cran-dplyr, r-cran-forcats, r-cran-foreach, r-cran-ggplot2, r-cran-magrittr, r-cran-readr, r-cran-tidyr, r-cran-withr, r-cran-yaml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-snpaimer_2.1.1-1.ca2004.1_all.deb
Size: 24980
MD5sum: 74d2a3ba7c42d5e8378877ca7829fe2f
SHA1: 75e14829533415c8ad2995456ae16a240b0fc569
SHA256: 79b0e963d19e80fc6f98e3d771afd8ea8ac9b635fcb7b7a8a7e37998adacf188
SHA512: 65c7acb264c53bb168d1806bfd020c2115d6a23cc36d9b799df4a59ba43e573d698d6f34dd50a9cc736a02ac30112be20e37350aa50e6a67e8b02d48a60dd74d
Homepage: https://cran.r-project.org/package=snpAIMeR
Description: CRAN Package 'snpAIMeR' (Assess the Diagnostic Power of Genomic Marker Combinations)
 Population genetics package for designing diagnostic panels.  Candidate
 markers, marker combinations, and different panel sizes are assessed for how
 well they can predict the source population of known samples. Requires a
 genotype file of candidate markers in STRUCTURE format.  Methods for
 population cross-validation are described in Jombart (2008)
 <doi:10.1093/bioinformatics/btn129>.

Package: r-cran-snpannotator
Architecture: all
Version: 0.2.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-xml2, r-cran-openxlsx, r-cran-progress, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-kableextra, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-snpannotator_0.2.6.0-1.ca2004.1_all.deb
Size: 83808
MD5sum: c56c2245f2bb1528d2fbd1d77f92a4ce
SHA1: 944a42525efb06c408be1bf34023212187636f5a
SHA256: 478934ab74f7a54e155424ed07fd77f2de96602568119a2e96ec495cf17f1e54
SHA512: 255ec85e41ed06f3aa546812743381be7c034c1d52fa6cc91c0939e71ba16b9e41d5335884402ccd6be7c7f97ee884aa8bff0d9071f1ea328cc759310e113406
Homepage: https://cran.r-project.org/package=SNPannotator
Description: CRAN Package 'SNPannotator' (Investigating the Functional Characteristics of Selected SNPsand Their Vicinity Genomic Region)
 To investigate the functional characteristics of selected SNPs and their
 vicinity genomic region. Linked SNPs in moderate to high linkage
 disequilibrium (e.g. r2>0.50) with the corresponding index SNPs will be
 selected for further analysis.

Package: r-cran-snpar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snpar_1.0-1.ca2004.1_all.deb
Size: 86924
MD5sum: 1bbbfbaa1451eae3df6d7582613069dd
SHA1: b99ad814ca7b38d6be5b90f70d1b7b326ab2b8da
SHA256: 8e984451c0b9ad15b043e79dca78f26ee42d2959f0cbaf199f63ed6a141e2f2a
SHA512: 229acd895e096e9a4ccc3af8e7d6a609b7995de4686649184c53cf4f75cf2294ca0d9b78fcd4042674ffc9fa9d08b7b6fcc50894cbab1bf31ea6ecf2922c50f6
Homepage: https://cran.r-project.org/package=snpar
Description: CRAN Package 'snpar' (Supplementary Non-parametric Statistics Methods)
 contains several supplementary non-parametric statistics methods including
 quantile test, Cox-Stuart trend test, runs test, normal score test, kernel
 PDF and CDF estimation, kernel regression estimation and kernel
 Kolmogorov-Smirnov test.

Package: r-cran-snpassoc
Architecture: all
Version: 2.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1336
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-haplo.stats, r-cran-mvtnorm, r-cran-survival, r-cran-tidyr, r-cran-plyr, r-cran-ggplot2, r-cran-poisbinom
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-biomart, r-bioc-variantannotation, r-bioc-genomicranges, r-bioc-iranges, r-bioc-s4vectors, r-bioc-org.hs.eg.db, r-bioc-txdb.hsapiens.ucsc.hg19.knowngene
Filename: pool/dists/focal/main/r-cran-snpassoc_2.1-2-1.ca2004.1_all.deb
Size: 1189528
MD5sum: 04a7cfdd061c23a953503e37e52f7d01
SHA1: d3d885e80a3e76d0b49590e3774a06e4c626030a
SHA256: a4803c262fa651bd99c6974a4f24db237b6075ee5752c378b8de211017211daf
SHA512: 2cecca1bd80bfa885362784c064ef251881accdc92f140b28696be38a598700e804787cf2fa76b0e0feb8f1d41e04e50238ae4470696275801021cbccc3b2f85
Homepage: https://cran.r-project.org/package=SNPassoc
Description: CRAN Package 'SNPassoc' (SNPs-Based Whole Genome Association Studies)
 Functions to perform most of the common analysis in genome association
 studies are implemented. These analyses include descriptive statistics and
 exploratory analysis of missing values, calculation of Hardy-Weinberg
 equilibrium, analysis of association based on generalized linear models
 (either for quantitative or binary traits), and analysis of multiple SNPs
 (haplotype and epistasis analysis). Permutation test and related tests (sum
 statistic and truncated product) are also implemented. Max-statistic and
 genetic risk-allele score exact distributions are also possible to be
 estimated. The methods are described in Gonzalez JR et al., 2007 <doi:
 10.1093/bioinformatics/btm025>.

Package: r-cran-snpenrichment
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2909
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-snpstats, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-snpenrichment_1.7.0-1.ca2004.1_all.deb
Size: 1686576
MD5sum: f2bc4fa8b4a251afc24add66b7d835f5
SHA1: b94b7b6c6584397215535211421d69d2717c7143
SHA256: ec145270a7bd954ebb36c2f284c1db82400fd60018b4f1392377b5c56391d090
SHA512: 0c0b0c0640108ebacac1d64fad0be2dc7ef855d0be74ed712adaa608843f3f73d6a79e36675876d8af17990eefb3997c493fdd0b417fb5c1b3ac1aa33bd9f47f
Homepage: https://cran.r-project.org/package=snpEnrichment
Description: CRAN Package 'snpEnrichment' (SNPs Enrichment Analysis)
 Implements classes and methods for large scale SNP enrichment analysis (e.g.
 SNPs associated with genes expression in a GWAS signal).

Package: r-cran-snpfiltr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vcfr, r-cran-ggplot2, r-cran-rtsne, r-cran-cluster, r-cran-adegenet, r-cran-gridextra, r-cran-ggridges
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-snpfiltr_1.0.1-1.ca2004.1_all.deb
Size: 633480
MD5sum: a1eda1ef87e331d72a04dbec212e31a1
SHA1: 460fc67ddad9e35ed604c6638f13cbc716a7f808
SHA256: d0f749f744563a938f62c8a3265a7e013d6315203fdc260c434599f19da5e127
SHA512: b1b0e9a79bffcc4b4a5ba5f7608f815ca3d2a55bdc08992b664f496e0a118aa29a72a76e5eb7827152f335cd67c46c0855cd3beca8b5f108a29e6b4f7f66e063
Homepage: https://cran.r-project.org/package=SNPfiltR
Description: CRAN Package 'SNPfiltR' (Interactively Filter SNP Datasets)
 Is designed to interactively and reproducibly visualize and filter SNP
 (single-nucleotide polymorphism) datasets. This R-based implementation of
 SNP and genotype filters facilitates an interactive and iterative SNP
 filtering pipeline, which can be documented reproducibly via Rmarkdown.
 'SNPfiltR' contains functions for visualizing various quality and missing
 data metrics for a SNP dataset, and then filtering the dataset based on user
 specified cutoffs.  All functions take 'vcfR' objects as input, which can
 easily be generated by reading standard vcf (variant call format) files into
 R using the R package 'vcfR' (Knaus and Grünwald)
 (<doi:10.1111/1755-0998.12549>).  Each 'SNPfiltR' function can return a
 newly filtered vcfR object, which can then be written to a local directory
 in standard vcf format using the 'vcfR' package, for downstream population
 genetic and phylogenetic analyses.

Package: r-cran-snplinkage
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5671
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-gwastools, r-bioc-biomart, r-cran-cowplot, r-cran-data.table, r-bioc-gdsfmt, r-cran-ggplot2, r-cran-ggrepel, r-cran-gtable, r-cran-knitr, r-cran-magrittr, r-cran-reshape2, r-bioc-snprelate
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-snplinkage_1.2.0-1.ca2004.1_all.deb
Size: 4667568
MD5sum: ca70eef6b4f585862e04aaf5104dc4b3
SHA1: 4bd0f315a8477f82c11e0283773931845e920adb
SHA256: 843bda7d1756ebe6bfbffd54bd462a9a63263e3015c3c01ab26141ab42dde3a0
SHA512: 8883200cb2f7f28d6a27f45b23dfeb1adec38d39758e92e0b30733747c36e5e9dd331e76fc12e6ae2a4085efbbae97ae7eb8a10568f1ca2eafa9298852055ff4
Homepage: https://cran.r-project.org/package=snplinkage
Description: CRAN Package 'snplinkage' (Single Nucleotide Polymorphisms Linkage DisequilibriumVisualizations)
 Linkage disequilibrium visualizations of up to several hundreds of single
 nucleotide polymorphisms (SNPs), annotated with chromosomic positions and
 gene names. Two types of plots are available for small numbers of SNPs (<40)
 and for large numbers (tested up to 500). Both can be extended by combining
 other ggplots, e.g. association studies results, and functions enable to
 directly visualize the effect of SNP selection methods, as minor allele
 frequency filtering and TagSNP selection, with a second correlation heatmap.
 The SNPs correlations are computed on Genotype Data objects from the
 'GWASTools' package using the 'SNPRelate' package, and the plots are
 customizable 'ggplot2' and 'gtable' objects and are annotated using the
 'biomaRt' package. Usage is detailed in the vignette with example data and
 results from up to 500 SNPs of 1,200 scans are in Charlon T. (2019)
 <doi:10.13097/archive-ouverte/unige:161795>.

Package: r-cran-snpls
Architecture: all
Version: 1.0.27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clickr, r-cran-future, r-cran-future.apply, r-cran-ggplot2, r-cran-ggrepel, r-cran-ks, r-cran-mass, r-cran-matrix, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-snpls_1.0.27-1.ca2004.1_all.deb
Size: 92160
MD5sum: 87d1c25ff90f63c1bcb54fc2655c03fa
SHA1: 670681f5c9ec4777ddf3417373e25e4e209f7dac
SHA256: 72ac62c2791aff8df7ca46e29c709b318e18f78118c7c7b5681e0b0e41c46245
SHA512: 6b121d87cd779db89feb75a51bb02973bde6c01c7a117d20c6b154b40bdca20c6a0e449c0a06de4cd4674359fbad48e88ae52ed2a015ca5a4caa4289d100018c
Homepage: https://cran.r-project.org/package=sNPLS
Description: CRAN Package 'sNPLS' (NPLS Regression with L1 Penalization)
 Tools for performing variable selection in three-way data using N-PLS in
 combination with L1 penalization, Selectivity Ratio and VIP scores.  The
 N-PLS model (Rasmus Bro, 1996
 <DOI:10.1002/(SICI)1099-128X(199601)10:1%3C47::AID-CEM400%3E3.0.CO;2-C>) is
 the natural extension of PLS (Partial Least Squares) to N-way structures,
 and tries to maximize the covariance between X and Y data arrays. The
 package also adds variable selection through L1 penalization, Selectivity
 Ratio and VIP scores.

Package: r-cran-snpready
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 910
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-matrixcalc, r-cran-stringr, r-cran-rgl, r-bioc-impute
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-snpready_0.9.6-1.ca2004.1_all.deb
Size: 347760
MD5sum: 6aedf3c320945d9b3302c5dd54be6b6a
SHA1: c3cc4de458abc32d21bdd9aa3960b6992d1842f4
SHA256: 63977f894403b51cfea9f41d0e0dc1515ad0d9fdbbecf48e8fb32c7647aeb566
SHA512: 52efae8f8a15421532292bd351d40d936db688844fb502866b2d90f679814b2407edacac931002554d803cc66fec73eb871ede0fc7c52e227b460a511d3d70ae
Homepage: https://cran.r-project.org/package=snpReady
Description: CRAN Package 'snpReady' (Preparing Genotypic Datasets in Order to Run Genomic Analysis)
 Three functions to clean, summarize and prepare genomic datasets to Genome
 Selection and Genome Association analysis and to estimate population genetic
 parameters.

Package: r-cran-snqtl
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rarpack, r-cran-mass
Filename: pool/dists/focal/main/r-cran-snqtl_0.2-1.ca2004.1_all.deb
Size: 199976
MD5sum: bfe632880c3cc1ec4e8a85ae20798838
SHA1: a348e99e40d502b36a33217905b3eb17dc53e7af
SHA256: e5db1d41a2aea8b8e146f6dc3af5e910a4ddb5b8759aa86cd275df9be7038086
SHA512: 4a982abf0212760a6299dca131e333dab1c453e9cc5a18b80a77cfad93a090eb0dede2943fd57fa4e289284d7c5a6fa5337c672902677073f5ce57d3d6348bec
Homepage: https://cran.r-project.org/package=snQTL
Description: CRAN Package 'snQTL' (Spectral Network Quantitative Trait Loci (snQTL) Analysis)
 A spectral framework to map quantitative trait loci (QTLs) affecting joint
 differential networks of gene co-Expression. Test the equivalence among
 multiple biological networks via spectral statistics. See reference Hu, J.,
 Weber, J. N., Fuess, L. E., Steinel, N. C., Bolnick, D. I., & Wang, M.
 (2025) <doi:10.1371/journal.pcbi.1012953>.

Package: r-cran-sns
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm, r-cran-coda, r-cran-numderiv
Suggests: r-cran-regressionfactory
Filename: pool/dists/focal/main/r-cran-sns_1.2.2-1.ca2004.1_all.deb
Size: 543516
MD5sum: 9d5d35261aa7177fef22c6c6218e32b0
SHA1: 18dbaa6bd239cef49e67ff00410e0ba89e993297
SHA256: 66d4cc71e96a53c94948aec16306066f4f75a6ad23040103e12771f36d1e953e
SHA512: 90a16d51e8ee0ef53147154832c67690d8a695fbb7e2429148f00eaebceadd73b892a414d4ed90a32f3b5b0f406ddf6fd1e0af9ffb52e4f8de7d8541e543a095
Homepage: https://cran.r-project.org/package=sns
Description: CRAN Package 'sns' (Stochastic Newton Sampler (SNS))
 Stochastic Newton Sampler (SNS) is a Metropolis-Hastings-based, Markov Chain
 Monte Carlo sampler for twice differentiable, log-concave probability
 density functions (PDFs) where the proposal density function is a
 multivariate Gaussian resulting from a second-order Taylor-series expansion
 of log-density around the current point. The mean of the Gaussian proposal
 is the full Newton-Raphson step from the current point. A Boolean flag
 allows for switching from SNS to Newton-Raphson optimization (by choosing
 the mean of proposal function as next point). This can be used during
 burn-in to get close to the mode of the PDF (which is unique due to
 concavity). For high-dimensional densities, mixing can be improved via
 'state space partitioning' strategy, in which SNS is applied to disjoint
 subsets of state space, wrapped in a Gibbs cycle. Numerical differentiation
 is available when analytical expressions for gradient and Hessian are not
 available. Facilities for validation and numerical differentiation of
 log-density are provided. Note: Formerly available versions of the
 MfUSampler can be obtained from the archive
 <https://cran.r-project.org/src/contrib/Archive/MfUSampler/>.

Package: r-cran-snscan
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 758
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-powerlaw, r-cran-rmpfr
Filename: pool/dists/focal/main/r-cran-snscan_1.0-1.ca2004.1_all.deb
Size: 740760
MD5sum: 41203a318ae9b6b018d51eca8b6afda6
SHA1: 650f05053f89e21888220b4165ee08c82145db74
SHA256: 51ccfd8851c8e28ef7498f50ed43b202208c6f2088b3dca7cfc3e4c3613da443
SHA512: febefa8f5befb9331c29c6dbaf05e6e49a8e45671edbeb5d3293c39a42498c89b923d476ce7d59e08ab3a58d9dfade9f7f4395fda367bc76559e7a1771ea4760
Homepage: https://cran.r-project.org/package=SNscan
Description: CRAN Package 'SNscan' (Scan Statistics in Social Networks)
 Scan statistics applied in social network data can be used to test the
 cluster characteristics among a social network.

Package: r-cran-snschart
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-snschart_1.4.0-1.ca2004.1_all.deb
Size: 226960
MD5sum: bfdbc10ae5e8711c2e854ba776cf6a59
SHA1: 181aa76ce59aa1ea1572ed40388364216a97f0e9
SHA256: a52986448e74e5c7822780a4c6bbd0e21c6f36dbf3ad7e99d1a1ed27d81a181e
SHA512: d92cba7df73f8629459a32bcf039d31eb39393b4d0de1f71df622464b58b067bb17b99322cced1309975736f3f303026ab389e49d4f701b21e46c270ae5a6770
Homepage: https://cran.r-project.org/package=SNSchart
Description: CRAN Package 'SNSchart' (Sequential Normal Scores in Statistical Process Management)
 The methods discussed in this package are new non-parametric methods based
 on sequential normal scores 'SNS' (Conover et al (2017)
 <doi:10.1080/07474946.2017.1360091>), designed for sequences of
 observations, usually time series data, which may occur singly or in
 batches, and may be univariate or multivariate. These methods are designed
 to detect changes in the process, which may occur as changes in location
 (mean or median), changes in scale (standard deviation, or variance), or
 other changes of interest in the distribution of the observations, over the
 time observed. They usually apply to large data sets, so computations need
 to be simple enough to be done in a reasonable time on a computer, and
 easily updated as each new observation (or batch of observations) becomes
 available. Some examples and more detail in 'SNS' is presented in the work
 by Conover et al (2019) <arXiv:1901.04443>.

Package: r-cran-snsequate
Architecture: all
Version: 1.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magic, r-cran-ake, r-cran-equate, r-cran-moments, r-cran-emdbook, r-cran-plyr, r-cran-statmod, r-cran-knitr, r-cran-progress
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-snsequate_1.3-5-1.ca2004.1_all.deb
Size: 318652
MD5sum: 7571d7877f9959ae7e9f32f617cb7dd9
SHA1: 35b0faa4ebb405349f3fd27310f3a4a572811933
SHA256: e4c3ffbc257a0937fd09b81c83bbf8f51c435cb291e3c599fbcd2e0616d8abef
SHA512: 8e63975d497a46b82c89146a719d8afde3a51e6efa5a73cdabba037c64334209aa89fa09540bfbb6cca11917d706d9446fb8af3db6fdbef2d16efa5812276f0d
Homepage: https://cran.r-project.org/package=SNSequate
Description: CRAN Package 'SNSequate' (Standard and Nonstandard Statistical Models and Methods for TestEquating)
 Contains functions to perform various models and methods for test equating
 (Kolen and Brennan, 2014 <doi:10.1007/978-1-4939-0317-7> ; Gonzalez and
 Wiberg, 2017 <doi:10.1007/978-3-319-51824-4> ; von Davier et. al, 2004
 <doi:10.1007/b97446>). It currently implements the traditional mean, linear
 and equipercentile equating methods. Both IRT observed-score and true-score
 equating are also supported, as well as the mean-mean, mean-sigma, Haebara
 and Stocking-Lord IRT linking methods. It also supports newest methods such
 that local equating, kernel equating (using Gaussian, logistic,
 Epanechnikov, uniform and adaptive kernels) with presmoothing, and IRT
 parameter linking methods based on asymmetric item characteristic functions.
 Functions to obtain both standard error of equating (SEE) and standard error
 of equating differences between two equating functions (SEED) are also
 implemented for the kernel method of equating.

Package: r-cran-snsfdatasets
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snsfdatasets_0.1.1-1.ca2004.1_all.deb
Size: 21872
MD5sum: 4c002b113a1110b7089a75fb3ee2e90a
SHA1: 7a80d6ff082cd3625f8d23139d32ff1735cdeef8
SHA256: a0b52abd0f0a1e4391e885b7855a411f4e57631b911bffa054e167f4f2082ada
SHA512: 684337a03e73e69f74d7edede47baf662e9e32b7440e8eaa2c850fdf09782c5eb8a874f680179429943ccf24f62800557150f402c8cc7dcab8b1a0b547e0ac7d
Homepage: https://cran.r-project.org/package=SNSFdatasets
Description: CRAN Package 'SNSFdatasets' (Download Datasets from the Swiss National Science Foundation(SNF, FNS, SNSF))
 Download and read datasets from the Swiss National Science Foundation (SNF,
 FNS, SNSF; <https://snf.ch>).  The package is lightweight and without
 dependencies.  Downloaded data can optionally be cached, to avoid repeated
 downloads of the same files.  There are also utilities for comparing
 different versions of datasets, i.e. to report added, removed and changed
 entries.

Package: r-cran-snsmart
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-envstats, r-cran-bayestestr, r-cran-condmvnorm, r-cran-cubature, r-cran-geepack, r-cran-hdinterval, r-cran-pracma, r-cran-rjags, r-cran-tidyr, r-cran-truncdist
Suggests: r-cran-coda, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-snsmart_0.2.4-1.ca2004.1_all.deb
Size: 152964
MD5sum: c8c52ded5ec7fd36427140e072df733f
SHA1: 8c39ddb80f723f0af89be836e7ec33cbe21527ec
SHA256: 515ac4081fb5ccf2ba0b0e801e66c45acebe042e1cc6b8b369da0a7cd5c80822
SHA512: 98a5e0f37a791409019b715012335e05034e064a3219cb6df8420a01ca11fd191c07c91ea61ea6a9a002ff0b851331302733b7f72dd2dc8e3d3dd992262a6111
Homepage: https://cran.r-project.org/package=snSMART
Description: CRAN Package 'snSMART' (Small N Sequential Multiple Assignment Randomized Trial Methods)
 Consolidated data simulation, sample size calculation and analysis functions
 for several snSMART (small sample sequential, multiple assignment,
 randomized trial) designs under one library.  See Wei, B., Braun, T.M.,
 Tamura, R.N. and Kidwell, K.M. "A Bayesian analysis of small n sequential
 multiple assignment randomized trials (snSMARTs)." (2018) Statistics in
 medicine, 37(26), pp.3723-3732 <doi:10.1002/sim.7900>.

Package: r-cran-snvecr
Architecture: all
Version: 3.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1780
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desolve, r-cran-cli, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-readr, r-cran-tidyselect, r-cran-rlang, r-cran-glue, r-cran-backports, r-cran-stringr
Suggests: r-cran-astrochron, r-cran-ggplot2, r-cran-tidyr, r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-withr, r-cran-curl, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-snvecr_3.10.1-1.ca2004.1_all.deb
Size: 1331688
MD5sum: 4754f1db5cc39a37197b6c7140e4fa32
SHA1: 1b026125c2d2e0eeb1ae714705b313446ac73df9
SHA256: 95f29b742fd99de3632d5483351d284de1765bf40c87ddb8c063c7b190a110a6
SHA512: 96fd328ae53bbaf32b6a498b87b04df1e0ae577bd481a011990db4c7ff8cfbccaa1b07dca2ff74d4c0824f92259754ec830021c7d4286230764b212ce69fc2d7
Homepage: https://cran.r-project.org/package=snvecR
Description: CRAN Package 'snvecR' (Calculate Earth’s Obliquity and Precession in the Past)
 Easily calculate precession and obliquity from an orbital solution (defaults
 to ZB18a from Zeebe and Lourens (2019) <doi:10.1126/science.aax0612>) and
 assumed or reconstructed values for tidal dissipation (Td) and dynamical
 ellipticity (Ed). This is a translation and adaptation of the 'C'-code in
 the supplementary material to Zeebe and Lourens (2022)
 <doi:10.1029/2021PA004349>, with further details on the methodology
 described in Zeebe (2022) <doi:10.3847/1538-3881/ac80f8>. The name of the
 'C'-routine is 'snvec', which refers to the key units of computation: spin
 vector s and orbit normal vector n.

Package: r-cran-snvlfdr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 545
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-snvlfdr_1.0.1-1.ca2004.1_all.deb
Size: 107360
MD5sum: 71a1e6b8a273944f1c63278957ccfc49
SHA1: 4fa9cbbb1cafe9ad04078f3b878e40d6d40e3f7b
SHA256: 7e92b16045c82a8be829c9bc5a489cd8271db635bfb0c3808e5414668fc2d22b
SHA512: 808779fb59d77afc13d8677441c206066f7ef21e9be36b6712b13739de7c9bd22197ac9c49009c68d6336156a23118714920531e9d8173ded55aba4a846e3c5e
Homepage: https://cran.r-project.org/package=SNVLFDR
Description: CRAN Package 'SNVLFDR' (Empirical Bayes Single Nucleotide Variant Calling)
 Identifies single nucleotide variants in next-generation sequencing data by
 estimating their local false discovery rates. For more details, see
 Karimnezhad, A. and Perkins, T. J. (2024) <doi:10.1038/s41598-024-51958-z>.

Package: r-cran-soar
Architecture: all
Version: 0.99-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soar_0.99-11-1.ca2004.1_all.deb
Size: 316396
MD5sum: 2b72de840298fa893d186a599479c707
SHA1: 67effa256852e1633307c7fc0a84b1fb823473a3
SHA256: 1c1acb47bb3c399a068327b747ff77403f8512bd4ce3ecbd6655297358358414
SHA512: 069f41b41e5d3578ca9bb1071028f87e80b710e1dbefe80c583359f80bf2313516dd2a6233ae3cb613ba6157dbee280b1ba10bba408256e7c16ffc2e4a00141b
Homepage: https://cran.r-project.org/package=SOAR
Description: CRAN Package 'SOAR' (Memory management in R by delayed assignments)
 Allows objects to be stored on disc and automatically recalled into memory,
 as required, by delayed assignment.

Package: r-cran-soas
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doe.base, r-cran-combinat, r-cran-frf2, r-cran-igraph, r-cran-lhs, r-cran-conf.design, r-cran-sfsmisc, r-cran-partitions
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soas_1.4-1.ca2004.1_all.deb
Size: 338932
MD5sum: 7ffb21b4c608dccdd02556454586b332
SHA1: 9622e6633155548bf36832f9655b5eebae6e983b
SHA256: fb92f6d38f0579684baa89794136e6bc1ba0225a612ab55ff5475ad68431e4de
SHA512: fc072e596a9efe9b68dbb8596641cf1d47bd4a5c9d98d18d58f057ee51fd38f545cf48a9cea32ddbf71088018d4366e058d27a8fba1e6ec0e0fe5db563e16c78
Homepage: https://cran.r-project.org/package=SOAs
Description: CRAN Package 'SOAs' (Creation of Stratum Orthogonal Arrays)
 Creates stratum orthogonal arrays (also known as strong orthogonal arrays).
 These are arrays with more levels per column than the typical orthogonal
 array, and whose low order projections behave like orthogonal arrays, when
 collapsing levels to coarser strata. Details are described in Groemping
 (2022) "A unifying implementation of stratum (aka strong) orthogonal arrays"
 <http://www1.bht-berlin.de/FB_II/reports/Report-2022-002.pdf>.

Package: r-cran-sobolnp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-np, r-cran-minqa, r-cran-pbmcapply
Filename: pool/dists/focal/main/r-cran-sobolnp_0.1.0-1.ca2004.1_all.deb
Size: 24884
MD5sum: e0b5b696a1a4270e37825af3c17ed6c5
SHA1: b263305e8f167832c19ae047f1ff795299acf9cf
SHA256: 5a9b37f40317cf02065f7a97b7a008a4285881d0f1ca54a7b7e5f98ff5d0bb7a
SHA512: 655592cc9543c85c26cb20804d4c712761731a2a9155c61762a21f53e83d64a61f7e632f9361600f7db7486ac8898c237e9f764a56929932e4eea91283e20629
Homepage: https://cran.r-project.org/package=sobolnp
Description: CRAN Package 'sobolnp' (Nonparametric Sobol Estimator with Bootstrap Bandwidth)
 Algorithm to estimate the Sobol indices using a non-parametric fit of the
 regression curve. The bandwidth is estimated using bootstrap to reduce the
 finite-sample bias. The package is based on the paper Solís, M. (2018)
 <arXiv:1803.03333>.

Package: r-cran-soc.ca
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-ellipse, r-cran-shiny, r-cran-factominer, r-cran-ggrepel, r-cran-magrittr, r-cran-htmltable, r-cran-stringr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-matrix, r-cran-flextable, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-forcats, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-soc.ca_0.8.0-1.ca2004.1_all.deb
Size: 418152
MD5sum: af0a17f53cedb106b11708dbc03a9c7d
SHA1: 3f3ff4f967dda151ee4884c4a36bc8cc8b0da62b
SHA256: a88a0fc2226ba39ca047f94ae91e200af82d3659bdd6d75a4b0d788be5d58a05
SHA512: 3a5e77bb7c5d607f34c4fd0824054fab6b20d9a08f03e5cfea98b0238861eb5c0cc2531655455a43a9829fd31c21d74e47a64091b8abb9c8ca174e2f0f3700b8
Homepage: https://cran.r-project.org/package=soc.ca
Description: CRAN Package 'soc.ca' (Specific Correspondence Analysis for the Social Sciences)
 Specific and class specific multiple correspondence analysis on survey-like
 data. Soc.ca is optimized to the needs of the social scientist and presents
 easily interpretable results in near publication ready quality.

Package: r-cran-socialh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1295
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-circlize, r-cran-dplyr, r-cran-data.table, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-socialh_0.1.1-1.ca2004.1_all.deb
Size: 1048024
MD5sum: 12477374b530e93d01397eb8a03b673e
SHA1: f60d7727bf13793c9e0d17200a67aab00f85a9a7
SHA256: 791c1bf3992f38ec44538894bf1b340dda824a29f0d08c8a3ba264006a181592
SHA512: dc59b39b7585d788098745bd99bac53e265da1a76523c3f604a83fa5e53de451abfc21b2d4d4d880e306c358e34f9edb5d1f7926aff021cc100b5968dad83cab
Homepage: https://cran.r-project.org/package=socialh
Description: CRAN Package 'socialh' (Rank and Social Hierarchy for Gregarious Animals)
 Tools developed to facilitate the establishment of the rank and social
 hierarchy for gregarious animals by the Si method developed by Kondo &
 Hurnik (1990)<doi:10.1016/0168-1591(90)90125-W>. It is also possible to
 determine the number of agonistic interactions between two individuals,
 sociometric and dyadics matrix from dataset obtained through electronic
 bins. In addition, it is possible plotting the results using a bar plot, box
 plot, and sociogram.

Package: r-cran-socialmixr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-curl, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-memoise, r-cran-oai, r-cran-wpp2017, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-here, r-cran-knitr, r-cran-purrr, r-cran-reshape2, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-socialmixr_0.4.0-1.ca2004.1_all.deb
Size: 745304
MD5sum: 4d61bc7a543613b59da5edb0c8b9940b
SHA1: 65b52ccc1887ca0bc07749fff27efd0e6c2c93ff
SHA256: beefd3068d946d7675ba329510393ebed4be47d2ce2b701148f3bb8da04fb6f2
SHA512: a12120614fed0087827ea748893728b5729c68096e70f7f1e46bd89d8247e46a86d9d911728e07d92b6de8d4840898a1a43d9ff08b816c99ee04284491592cff
Homepage: https://cran.r-project.org/package=socialmixr
Description: CRAN Package 'socialmixr' (Social Mixing Matrices for Infectious Disease Modelling)
 Provides methods for sampling contact matrices from diary data for use in
 infectious disease modelling, as discussed in Mossong et al. (2008)
 <doi:10.1371/journal.pmed.0050074>.

Package: r-cran-socialposition
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-socialposition_1.0.1-1.ca2004.1_all.deb
Size: 260984
MD5sum: 21c480c22b9180661b6bdaaa08815571
SHA1: b19456b613a7236904ee00d29b7e41e9ffa3196e
SHA256: 6bb96a8ae417ead19f65023b0863df010f307739752d96bf3f8f5ee1a7053829
SHA512: c59c7064887ddaca31185d3ebfb25533959f7f3291f20820e1b660164ba7c8fc81bb61098d0a43eee1da01ad33843a468ba72b5e0af17849297d1fa424f87aec
Homepage: https://cran.r-project.org/package=SocialPosition
Description: CRAN Package 'SocialPosition' (Social Position Indicators Construction Toolbox)
 Provides to sociologists (and related scientists) a toolbox to facilitate
 the construction of social position indicators from survey data. Social
 position indicators refer to what is commonly known as social class and
 social status. There exists in the sociological literature many theoretical
 conceptualisation and empirical operationalization of social class and
 social status. This first version of the package offers tools to construct
 the International Socio-Economic Index of Occupational Status (ISEI) and the
 Oesch social class schema. It also provides tools to convert several
 occupational classifications (PCS82, PCS03, and ISCO08) into a common one
 (ISCO88) to facilitate data harmonisation work, and tools to collapse (i.e.
 group) modalities of social position indicators.

Package: r-cran-socialranking
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1726
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-relations, r-cran-rlang, r-cran-rdpack
Suggests: r-cran-clipr, r-cran-testthat, r-cran-xfun, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-partitions
Filename: pool/dists/focal/main/r-cran-socialranking_1.2.0-1.ca2004.1_all.deb
Size: 760076
MD5sum: 19c6c53aca3e667508fc0a7cbe239cac
SHA1: f6efe7104371b6378d9f3572e3601d116896146b
SHA256: 47318c3c8a02ecab8c6ff96f20025b484678699c0f11027519c2071f7e2eace8
SHA512: 8d63dae1b4f67fb17eee197d67c11e9c19d28de50fb27043221db827163086e9f3d0647f74d27722d9c92671749fa79b686c24c1d61cb1897447645fcf5641b0
Homepage: https://cran.r-project.org/package=socialranking
Description: CRAN Package 'socialranking' (Social Ranking Solutions for Power Relations on Coalitions)
 The notion of power index has been widely used in literature to evaluate the
 influence of individual players (e.g., voters, political parties, nations,
 stockholders, etc.) involved in a collective decision situation like an
 electoral system, a parliament, a council, a management board, etc., where
 players may form coalitions. Traditionally this ranking is determined
 through numerical evaluation. More often than not however only ordinal data
 between coalitions is known. The package 'socialranking' offers a set of
 solutions to rank players based on a transitive ranking between coalitions,
 including through CP-Majority, ordinal Banzhaf or lexicographic excellence
 solution summarized by Tahar Allouche, Bruno Escoffier, Stefano Moretti and
 Meltem Öztürk (2020, <doi:10.24963/ijcai.2020/3>).

Package: r-cran-socialrisk
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-rlang, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-socialrisk_0.5.1-1.ca2004.1_all.deb
Size: 35064
MD5sum: 9e8a038276ee5ae17eb09947f8d6a751
SHA1: 837c0e669774a29e5ea3d6f631232e165b3af5fa
SHA256: 52190aa6f22bf2658e8f60d0fb7f97ac18f544bbf26e8681ce8347c23b9aa31e
SHA512: 33ef34652797285c082b7be0502c7699162f51d523a346466c9ea6fa9e6aa6bd99890b332fe857514c7f404ba1d165744069781eb913c7e1fb62c357be4998d9
Homepage: https://cran.r-project.org/package=socialrisk
Description: CRAN Package 'socialrisk' (Identifying Patient Social Risk from Administrative Health CareData)
 Social risks are increasingly becoming a critical component of health care
 research. One of the most common ways to identify social needs is by using
 ICD-10-CM "Z-codes." This package identifies social risks using varying
 taxonomies of ICD-10-CM Z-codes from administrative health care data. The
 conceptual taxonomies come from: Centers for Medicare and Medicaid Services
 (2021) <https://www.cms.gov/files/document/zcodes-infographic.pdf>, Reidhead
 (2018) <https://web.mhanet.com/>, A Arons, S DeSilvey, C Fichtenberg, L
 Gottlieb (2018)
 <https://sirenetwork.ucsf.edu/tools-resources/resources/compendium-medical-terminology-codes-social-risk-factors>.

Package: r-cran-sociome
Architecture: all
Version: 2.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-mice, r-cran-psych, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidycensus, r-cran-tidyr
Suggests: r-cran-uspopcenters, r-cran-cluster, r-cran-geosphere, r-cran-ggplot2, r-cran-sf, r-cran-testthat, r-cran-tibble, r-cran-tigris, r-cran-units
Filename: pool/dists/focal/main/r-cran-sociome_2.2.5-1.ca2004.1_all.deb
Size: 150696
MD5sum: 052e2af64d5feeac1ecb42225121adce
SHA1: 8a373ae4a60c3552f5ede8625993903de03e62d5
SHA256: 4208a8c640dd11be243b4d8f8b5d4a164e77d011f1f41a5f55d7e6baa2a0c6f6
SHA512: 481f466423470faf31f27e97894377d3d1fe5ef0dd22877a440277e02cfe8805ae77d9e711e15d289658cd55d6675046dbf9d79e474636a3973f035a07dc6609
Homepage: https://cran.r-project.org/package=sociome
Description: CRAN Package 'sociome' (Operationalizing Social Determinants of Health Data forResearchers)
 Accesses raw data via API and calculates social determinants of health
 measures for user-specified locations in the US, returning them in
 tidyverse- and sf-compatible data frames.

Package: r-cran-socviz
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4498
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-magrittr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-socviz_1.2-1.ca2004.1_all.deb
Size: 4060724
MD5sum: c38bdabb2dae23c175ed94769ec3a2fc
SHA1: 6f1e46f183fbd8a8291acc10d69778d7f613cb70
SHA256: 5d2b1f941cc32659e3f27bb4f1ff88d0b6970ffb367ae310bd7574d75cb16144
SHA512: 4671e73d0b833b1513867b7bc91ac5f4b07064420b4e6e6ac9d402fb4dfbb5f7ec32c1c5a370b5530c9efb0c8d9d2ba3f8a83d09f76ce66ee28f62bd35afeecf
Homepage: https://cran.r-project.org/package=socviz
Description: CRAN Package 'socviz' (Utility Functions and Data Sets for Data Visualization)
 Supporting materials for a course and book on data visualization. It
 contains utility functions for graphs and several sample data sets. See
 Healy (2019) <ISBN 978-0691181622>.

Package: r-cran-sodavis
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nnet, r-cran-mass, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sodavis_1.2-1.ca2004.1_all.deb
Size: 2701940
MD5sum: 7b30f71b698121f0ecb859f680b68d54
SHA1: c8085131998efac419fa8ea6fd26c262aef0263d
SHA256: 0870f82d9ca9805bf5cb861f4a9857770668ec370aba9f8d593c6ba1be2a23d6
SHA512: e7a09ae0c9a152d7c7d25e90c2719be812be851db3662040bb8aacd46b49b5e58b66dcde77742ca3c812498ed166010a68a68d52c02af53cff837cfe6c84103e
Homepage: https://cran.r-project.org/package=sodavis
Description: CRAN Package 'sodavis' (SODA: Main and Interaction Effects Selection for LogisticRegression, Quadratic Discriminant and General Index Models)
 Variable and interaction selection are essential to classification in
 high-dimensional setting. In this package, we provide the implementation of
 SODA procedure, which is a forward-backward algorithm that selects both main
 and interaction effects under logistic regression and quadratic discriminant
 analysis. We also provide an extension, S-SODA, for dealing with the
 variable selection problem for semi-parametric models with continuous
 responses.

Package: r-cran-sofa
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2400
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-r6, r-cran-mime
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sofa_0.4.0-1.ca2004.1_all.deb
Size: 529528
MD5sum: 46e61822ef7f54eb2790ed9e4d2c627f
SHA1: 9994c1a447230f067f94659f90fb9d6aea25a821
SHA256: 997827a4a798c8db38d52e1a9f2e7f498341aaedb937249296825748e0187a5a
SHA512: f809f41934ff12bdfd332fb968b9e142e833933ebd94e3b5fc620b33286ecd9561a03d00d838bb37cab0ac565cccbeea674eee167b40bc453295f1e977e33cc1
Homepage: https://cran.r-project.org/package=sofa
Description: CRAN Package 'sofa' (Connector to 'CouchDB')
 Provides an interface to the 'NoSQL' database 'CouchDB'
 (<http://couchdb.apache.org>). Methods are provided for managing databases
 within 'CouchDB', including creating/deleting/updating/transferring, and
 managing documents within databases. One can connect with a local 'CouchDB'
 instance, or a remote 'CouchDB' databases such as 'Cloudant'.  Documents can
 be inserted directly from vectors, lists, data.frames, and 'JSON'. Targeted
 at 'CouchDB' v2 or greater.

Package: r-cran-sofi
Architecture: all
Version: 0.16.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-sampling, r-cran-foreign
Suggests: r-cran-ggplot2, r-cran-vgam, r-cran-shinyjs, r-cran-ggextra, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-sofi_0.16.4.8-1.ca2004.1_all.deb
Size: 1361752
MD5sum: 5d6fa2711966dfe7e299e6c2affca8ff
SHA1: 3b82bd8af699b42e2810fc2849674e31f58787fc
SHA256: 55c4a99d60ea77ded552096c913ef374980fa7e736d5780282eea21ec2f53b6f
SHA512: aca79d4e192684cb92abb6a761774995e4a1486f70906a19f1bf98d4a2495f39496d9e0811b7b1abbe08832641d3aa5a745c63bd81a6ff077f67161751a6848c
Homepage: https://cran.r-project.org/package=Sofi
Description: CRAN Package 'Sofi' (Interfaz interactiva con fines didacticos)
 Este paquete tiene la finalidad de ayudar a aprender de una forma
 interactiva, teniendo ejemplos y la posibilidad de resolver nuevos al mismo
 tiempo. Apuntes de clase interactivos.

Package: r-cran-sofia
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-png
Filename: pool/dists/focal/main/r-cran-sofia_1.0-1.ca2004.1_all.deb
Size: 186548
MD5sum: 44bab71c2e8afcfb7a21acb5168c1efa
SHA1: 48a5a39ef314753d5df0e78dc5a44a0588abed0f
SHA256: e80c0796263d1f856c73775e9412bb0cb9456b0f5adb712710627b6ea87b0497
SHA512: c4ca54680c83d2e787ba15634c4bc654e4199ec1850b97d6ff1481329e09c55fdea8e7995a1394064b2d727d344822802c6ce9278b09f445b6e95c1fc66b2787
Homepage: https://cran.r-project.org/package=SOFIA
Description: CRAN Package 'SOFIA' (Making Sophisticated and Aesthetical Figures in R)
 Software that leverages the capabilities of Circos by manipulating data,
 preparing configuration files, and running the Perl-native Circos directly
 from the R environment with minimal user intervention. Circos is a novel
 software that addresses the challenges in visualizing genetic data by
 creating circular ideograms composed of tracks of heatmaps, scatter plots,
 line plots, histograms, links between common markers, glyphs, text, and etc.
 Please see <http://www.circos.ca>.

Package: r-cran-softbib
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-renv, r-cran-rmarkdown, r-cran-bibtex
Filename: pool/dists/focal/main/r-cran-softbib_0.0.2-1.ca2004.1_all.deb
Size: 19008
MD5sum: 20fd85781e98b2ee16df73ed23b11bca
SHA1: 6794ebcf8f4ca33ddcd4979f7937dbe73d63576d
SHA256: 353a67b4a3a6a7681828240bd942100acdbee0876eaafd3d152fec2830a0c1cf
SHA512: 1b974411fde31a8e0e8361cfe6e561a2f3d6d4154a8dd2ca851cd35d4701db8f27a88f74e0b7867936e5d01fb88acfbb0cf98712959e63e8cd9244250335a14d
Homepage: https://cran.r-project.org/package=softbib
Description: CRAN Package 'softbib' (Software Bibliographies for R Projects)
 Detect libraries used in a project and automatically create software
 bibliographies in 'PDF', 'Word', 'Rmarkdown', and 'BibTeX' formats.

Package: r-cran-softclassval
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrayhelpers, r-cran-svunit
Filename: pool/dists/focal/main/r-cran-softclassval_1.1.0-1.ca2004.1_all.deb
Size: 69120
MD5sum: b6ec98340a5c643405f311bef721d06f
SHA1: 810615f405b240980f800cd9ac16b7bab784aa9e
SHA256: 421f0199e8af4ff98c7592a50cb7a33cb0bd08f1a93a5393c5cb0117e6dad010
SHA512: 60a85f7fa8f3b95f6ad742802ee7186425177095b257c590ad9dd8111730fd3c7ed38619fb7265fdb121f1914da40fffe414462136824181fac2798f67584c75
Homepage: https://cran.r-project.org/package=softclassval
Description: CRAN Package 'softclassval' (Soft Classification Performance Measures)
 An extension of sensitivity, specificity, positive and negative predictive
 value to continuous predicted and reference memberships in [0, 1].

Package: r-cran-softclustering
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-softclustering_2.1.3-1.ca2004.1_all.deb
Size: 78068
MD5sum: 49e0d3d525432163fbda1ce1f222d6f5
SHA1: 1cebd47b04af5cbaf558787934e90fe3a49fb537
SHA256: 88724cfb727d09d7e18943d91f11ff449fbf43781ce10677d5f7ed7d33d5534b
SHA512: c5f7476689e73b3dfa29a3751129345ccd2c9356f73dbe81db08f45693f27f5663a8dfde582c762514d960d807d75a028cb7fd37df6050ff22cddc6a0a0dda96
Homepage: https://cran.r-project.org/package=SoftClustering
Description: CRAN Package 'SoftClustering' (Soft Clustering Algorithms)
 It contains soft clustering algorithms, in particular approaches derived
 from rough set theory: Lingras & West original rough k-means, Peters'
 refined rough k-means, and PI rough k-means. It also contains classic
 k-means and a corresponding illustrative demo.

Package: r-cran-sohpie
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-robustbase, r-cran-dplyr, r-cran-fdrtool, r-cran-gtools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sohpie_1.0.6-1.ca2004.1_all.deb
Size: 149880
MD5sum: 3546fe6a23249f6c6a2b9fa3ee524652
SHA1: 5bedc316b8e1a09d92589068305e105aa4f7d0af
SHA256: 37e1fd4a8f0b92136835a63e80d3495a80438dec36ebba8514fb1643378e0d04
SHA512: 0c38cbb8517976b79697bec42dd50a4f9d4fa3f3744196cd03174148976ca672d697b02be071ec70be5268e26b58a9d4aba8c0c0b03e0aef653bf4ca45dab4e4
Homepage: https://cran.r-project.org/package=SOHPIE
Description: CRAN Package 'SOHPIE' (Statistical Approach via Pseudo-Value Information and Estimation)
 'SOHPIE' (pronounced as SOFIE) is a novel pseudo-value regression approach
 for differential co-abundance network analysis of microbiome data, which can
 include additional clinical covariate in the model. The full methodological
 details can be found in Ahn S and Datta S (2023) <arXiv:2303.13702v1>.

Package: r-cran-soil
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-ncvreg, r-cran-mass, r-cran-brglm2
Filename: pool/dists/focal/main/r-cran-soil_1.1-1.ca2004.1_all.deb
Size: 41160
MD5sum: 37545378f7ec76f76190fda95230dbab
SHA1: 3276b8998190fd26bf620b2114536a483b2197b3
SHA256: c1fe1a6ae98c45b838bb85abedef6ef2b1522074ea8da4d8118cb867a1893687
SHA512: 2d4221ae258c1ac50fd5a4184d83bc2b09e5b096d1d6184c83720e50869263d939f28dee82d3c94b63a241acf9b14a8449867b6872426608a3f918aaef94ffc6
Homepage: https://cran.r-project.org/package=SOIL
Description: CRAN Package 'SOIL' (Sparsity Oriented Importance Learning)
 Sparsity Oriented Importance Learning (SOIL) provides a new variable
 importance measure for high dimensional linear regression and logistic
 regression from a sparse penalization perspective, by taking into account
 the variable selection uncertainty via the use of a sensible model
 weighting. The package is an implementation of Ye, C., Yang, Y., and Yang,
 Y. (2017+).

Package: r-cran-soilassessment
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2392
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret, r-cran-desolve, r-cran-e1071, r-cran-fuzzyahp, r-cran-googledrive, r-cran-hmisc, r-cran-nnet, r-cran-png, r-cran-randomforest, r-cran-raster, r-cran-soiltexture, r-cran-sp, r-cran-sf, r-cran-terra
Suggests: r-cran-arm, r-cran-cubist, r-cran-aqp, r-cran-kernlab, r-cran-nlme, r-cran-ranger, r-cran-rpart, r-cran-plyr, r-cran-qrnn, r-cran-quantregforest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-soilassessment_0.3.0-1.ca2004.1_all.deb
Size: 2344676
MD5sum: d2fdc405e16838916b478d723167fe1d
SHA1: ede314a13a0a9811804b61872b723b74beec52be
SHA256: 9cdad4d5272f3b734546d94887e4bca6e96b6924a44c7b3d235765df53de745c
SHA512: c8201465def4257c20d4ab9f48ba431e1b71007248848f1245e50ff2b5c0e111cb283d28921ebb01f992a7dc85d49d25f7fc17e71f0af3046d36d587a61f4ec3
Homepage: https://cran.r-project.org/package=soilassessment
Description: CRAN Package 'soilassessment' (Soil Health Assessment Models for Assessing Soil Conditions andSuitability)
 Soil health assessment builds information to improve decision in soil
 management. It facilitates assessment of soil conditions for crop
 suitability [such as those given by FAO
 <https://www.fao.org/land-water/databases-and-software/crop-information/en/>],
 groundwater recharge, fertility, erosion, salinization
 [<doi:10.1002/ldr.4211>], carbon sequestration, irrigation potential, and
 status of soil resources.

Package: r-cran-soilchemistry
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soilchemistry_0.1.0-1.ca2004.1_all.deb
Size: 29328
MD5sum: 01922b42962d2aba26f73b2dad655fd7
SHA1: 9e2e7b5614b223c8fe888af1c6b43f2634c48eaf
SHA256: b52b90903385d34399988913be871558585afede75216df240532a9612288f09
SHA512: 7f3ad8d1ff7adb9075b5cd3f6d1c4d2658f49da14faadd241177cc766b745d9b89db40904f82160a183abd6c60e976dbfc8d02b159ae118eae62fb8d104783a0
Homepage: https://cran.r-project.org/package=soilchemistry
Description: CRAN Package 'soilchemistry' (Computation of Properties Related to Soil Chemical Environmentand Nutrient Availability)
 Facilitates basic and equation-based analyses of some important soil
 properties related to soil chemical environment and nutrient availability to
 plants. Freundlich H (1907). <doi:10.1515/zpch-1907-5723>. Datta SP,
 Bhadoria PBS (1999).
 <doi:10.1002%2F%28SICI%291522-2624%28199903%29162%3A2%3C183%3A%3AAID-JPLN183%3E3.0.CO%3B2-A>."Boron
 adsorption and desorption in some acid soils of West Bengal, India".
 Langmuir I (1918). <doi:10.1021/ja02242a004> "The adsorption of gases on
 plane surfaces of glass, mica, and platinum". Khasawneh FE (1971).
 <doi:10.2136/sssaj1971.03615995003500030029x> "Solution ion activity and
 plant growth".

Package: r-cran-soilconservation
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soilconservation_1.0.1-1.ca2004.1_all.deb
Size: 53132
MD5sum: 65166f84b3e67b06ed8b521cbcd2a62e
SHA1: fa00cbf55d0f3f0c2016a2471a4d43b275a65252
SHA256: 581e590d0a3142d4747d6b8a130ff20786ba7c7c3d5e34cfb3beeca8488924f8
SHA512: b3d6d3e13b84fda85aa02cf0cb62894acee5aecfc13dfc2475c9815adbe6bf85568d93624813a90719a0badc99a75be36cd387fb67c83217bac37a9bd72d7685
Homepage: https://cran.r-project.org/package=SoilConservation
Description: CRAN Package 'SoilConservation' (Soil and Water Conservation)
 Includes four functions: RFactor_calc(), RFactor_est(), KFactor() and
 SoilLoss(). The rainfall erosivity factors can be calculated or estimated,
 and soil erodibility will be estimated by the equation extracted from the
 monograph. Soil loss will be estimated by the product of five factors
 (rainfall erosivity, soil erodibility, length and steepness slope,
 cover-management factor and support practice factor. In the future,
 additional functions can be included. This efforts to advance research in
 soil and water conservation, with fast and accurate results.

Package: r-cran-soildb
Architecture: all
Version: 2.8.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2191
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aqp, r-cran-data.table, r-cran-dbi, r-cran-curl
Suggests: r-cran-jsonlite, r-cran-xml2, r-cran-httr, r-cran-rvest, r-cran-odbc, r-cran-rsqlite, r-cran-sf, r-cran-wk, r-cran-terra, r-cran-raster, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soildb_2.8.9-1.ca2004.1_all.deb
Size: 1755272
MD5sum: e9ed2a68613bf78e036ce39bb22ec03f
SHA1: 655d319a2b57fbf368cf96dc23ac9c5dcfc75680
SHA256: 2c52dfab1a36009ea5efd08570cafbf21847cd499b432332f7f1ed031792b824
SHA512: 4db8bf935e3791db39a097670224cce9df55681a809ad55ca53a2d416c73085c5c0c26d0ace5ead0072e2a4cd077bf8bfa006c668d064e624bfe127bc3eae9dc
Homepage: https://cran.r-project.org/package=soilDB
Description: CRAN Package 'soilDB' (Soil Database Interface)
 A collection of functions for reading soil data from U.S. Department of
 Agriculture Natural Resources Conservation Service (USDA-NRCS) and National
 Cooperative Soil Survey (NCSS) databases.

Package: r-cran-soilfda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soilfda_0.1.0-1.ca2004.1_all.deb
Size: 17392
MD5sum: d640f8b351abc9bfcf423d94a9da6766
SHA1: baae4f4abfe89e89e0f6fe9a88279c97dcb28195
SHA256: 2cd53ec33d276c1971447d51ddf92973a70fd2e1c41a999a3fcbd3a4bb4fdfff
SHA512: 20aacb73e635bf63f14ecdd55f1cd58a1950770b9e2e323c12b5004b9eace6aebe6bc5631502199eba56dd40a6ee2314da04cb8b585566a7479479e5bc99d3a2
Homepage: https://cran.r-project.org/package=SoilFDA
Description: CRAN Package 'SoilFDA' (Fractal Dimension Analysis of Soil Particle Size Distribution)
 Function for the computation of fractal dimension based on mass of soil
 particle size distribution by Tyler & Wheatcraft (1992)
 <doi:10.2136/sssaj1992.03615995005600020005x>. It also provides functions
 for calculation of mean weight and geometric mean diameter of particle size
 distribution by Perfect et al. (1992)
 <doi:10.2136/sssaj1992.03615995005600050012x>.

Package: r-cran-soilfoodwebs
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 482
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-stringr, r-cran-diagram, r-cran-quadprog, r-cran-lpsolve, r-cran-rootsolve, r-cran-desolve
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soilfoodwebs_1.0.2-1.ca2004.1_all.deb
Size: 259224
MD5sum: ad667512088361379f6bf5a2eddbcd67
SHA1: 380c9ca8c8b162287011cf8d648499c1c3393ff6
SHA256: 98dae6b0a7aed9772378a8ccbce14cd02dbe7e415e6a385d12964ddd6c21ca9b
SHA512: b4c01e946346329189d98733e8822af9e9824d91cf0b4635a1bc393b4e03df214c6612219a4c5687f077f9c05f0203ea1caffd8c451b318ea42c7681141ff424
Homepage: https://cran.r-project.org/package=soilfoodwebs
Description: CRAN Package 'soilfoodwebs' (Soil Food Web Analysis)
 Analyzing soil food webs or any food web measured at equilibrium. The
 package calculates carbon and nitrogen fluxes and stability properties using
 methods described by Hunt et al. (1987) <doi:10.1007/BF00260580>, de Ruiter
 et al.  (1995) <doi:10.1126/science.269.5228.1257>, Holtkamp et al. (2011)
 <doi:10.1016/j.soilbio.2010.10.004>, and Buchkowski and Lindo (2021)
 <doi:10.1111/1365-2435.13706>. The package can also manipulate the structure
 of the food web as well as simulate food webs away from equilibrium and run
 decomposition experiments.

Package: r-cran-soilfunctionality
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soilfunctionality_0.1.0-1.ca2004.1_all.deb
Size: 15008
MD5sum: 1121e42f69308a05f0426778e37e10f6
SHA1: 0c693083b69d69dd42203e65f4fd8eb36c78633b
SHA256: ee27b2e5c83b431688577ae58596802b904535c8061b785ba75956e9e36f1250
SHA512: faa73b4734898361b2dc3dbf10d5b106a676c4e1617f98b1809d3e44c4da860c2f02176ec341efb2ee8f42e81ca45b0760f308ac3b0cb857cb4a3047cfdee5be
Homepage: https://cran.r-project.org/package=SoilFunctionality
Description: CRAN Package 'SoilFunctionality' (Soil Functionality Measurement)
 Generally, soil functionality is characterized by its capability to sustain
 microbial activity, nutritional element supply, structural stability and aid
 for crop production. Since soil functions can be linked to 80% of ecosystem
 services, conservation of degraded land should strive to restore not only
 the capacity of soil to sustain flora but also ecosystem provisions. The
 primary ecosystem services of soil are carbon sequestration, food or biomass
 production, provision of microbial habitat, nutrient recycling. However, the
 actual magnitude of soil functions provided by agricultural land uses has
 never been quantified. Nutrient supply capacity (NSC) is a measure of
 nutrient dynamics in restored land uses. Carbon accumulation proficiency
 (CAP) is a measure of ecosystem carbon sequestration. Biological activity
 index (BAI) is the average of responses of all enzyme activities in treated
 land over control/reference land. The CAP parameter investigates how land
 uses may affect carbon flows, retention, and sequestration. The CAP provides
 a signal for C cycles, flows, and the systems' relative operational
 supremacy.

Package: r-cran-soilhyp
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-soilhyp_0.1.7-1.ca2004.1_all.deb
Size: 224384
MD5sum: f36cf2dcdccfb140a33463f45f102ffc
SHA1: 4551f31ef7eeda0811a81ece1dff9f42807decc1
SHA256: 12c0a4a58bab3a9f89ff284cf623809d655565cba12670bf1089b718a634f6aa
SHA512: 35b63f76642b46a695cd3273889b6321f8ce42ec266d707d302fc986d80f844d6326f1f9f70e8d70a1c67b35184a9acc9ef95268e1e73ad9605c70328f4d5b46
Homepage: https://cran.r-project.org/package=SoilHyP
Description: CRAN Package 'SoilHyP' (Soil Hydraulic Properties)
 Provides functions for (1) soil water retention (SWC) and unsaturated
 hydraulic conductivity (Ku) (van Genuchten-Mualem (vGM or vG) [1, 2],
 Peters-Durner-Iden (PDI) [3, 4, 5], Brooks and Corey (bc) [8]), (2) fitting
 of parameter for SWC and/or Ku using Shuffled Complex Evolution (SCE)
 optimisation and (3) calculation of soil hydraulic properties (Ku and soil
 water contents) based on the simplified evaporation method (SEM) [6, 7].
 Main references: [1] van Genuchten (1980)
 <doi:10.2136/sssaj1980.03615995004400050002x>, [2] Mualem (1976)
 <doi:10.1029/WR012i003p00513>, [3] Peters (2013) <doi:10.1002/wrcr.20548>,
 [4] Iden and Durner (2013) <doi:10.1002/2014WR015937>, [5] Peters (2014)
 <doi:10.1002/2014WR015937>, [6] Wind G. P. (1966), [7] Peters and Durner
 (2008) <doi:10.1016/j.jhydrol.2008.04.016> and [8] Brooks and Corey (1964).

Package: r-cran-soilhypfit
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 396
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nloptr, r-cran-snowfall, r-cran-mgcv, r-cran-quadprog, r-cran-rmpfr, r-cran-soilhyp
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-soilhypfit_0.1-7-1.ca2004.1_all.deb
Size: 361236
MD5sum: f545b7dc25fbe51430b1a304da48b6ba
SHA1: 0d05dfd75e2da504fbb0b8834d4749cacf0263c4
SHA256: fce3719eee233455167bf4e99c616e33110de8514495c390890e01ead28ff161
SHA512: a84c0ab7c81c71018a4860b0c1d7cba4921ae33cd6b9f099cec21c14ade1826a8879ac3ea5509c91b2d243c239913d3f92a56469c9b081bab3f2a8cd2522a640
Homepage: https://cran.r-project.org/package=soilhypfit
Description: CRAN Package 'soilhypfit' (Modelling of Soil Water Retention and Hydraulic ConductivityData)
 Provides functions for efficiently estimating properties of the Van
 Genuchten-Mualem model for soil hydraulic parameters from possibly sparse
 soil water retention and hydraulic conductivity data by multi-response
 parameter estimation methods (Stewart, W.E., Caracotsios, M. Soerensen, J.P.
 (1992) "Parameter estimation from multi-response data"
 <doi:10.1002/aic.690380502>). Parameter estimation is simplified by
 exploiting the fact that residual and saturated water contents and saturated
 conductivity are conditionally linear parameters (Bates, D. M.  and Watts,
 D. G. (1988) "Nonlinear Regression Analysis and Its Applications"
 <doi:10.1002/9780470316757>). Estimated parameters are optionally
 constrained by the evaporation characteristic length (Lehmann, P., Bickel,
 S., Wei, Z. and Or, D. (2020) "Physical Constraints for Improved Soil
 Hydraulic Parameter Estimation by Pedotransfer Functions"
 <doi:10.1029/2019WR025963>) to ensure that the estimated parameters are
 physically valid. Common S3 methods and further utility functions allow to
 process, explore and visualise estimation results.

Package: r-cran-soilmanager
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-lubridate, r-cran-ggplot2, r-cran-ggthemes, r-cran-tidyr, r-cran-tibble, r-cran-readxl, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soilmanager_1.1.0-1.ca2004.1_all.deb
Size: 856220
MD5sum: 733112d9592c0b9b722e9a19e66f1aba
SHA1: 17bc2cbf15f333824b44ee85b7558a5241bb0412
SHA256: 0383b5687678e85bff29a86dd7409cfdaf257c4dc5563af0f4ade9a240d180c4
SHA512: aa65cdf439c1b78e824f62aed07c238c6dac50fd98392900a22500e30185d18d54374bb4be11f876c90e1329971f51bdb8fc35f7c9b5892dfa6acfde58b9df8f
Homepage: https://cran.r-project.org/package=SoilManageR
Description: CRAN Package 'SoilManageR' (Calculate Soil Management Indicators for Agricultural PracticeAssessment)
 Calculate numerical agricultural soil management indicators from on a
 management timeline of an arable field. Currently, indicators for carbon (C)
 input into the soil system, soil tillage intensity rating (STIR), number of
 soil cover and living plant cover days, N fertilization and livestock
 intensity, and plant diversity are implemented.  The functions can also be
 used independently of the management timeline to calculate some indicators.
 The package contains tables with reference information for the functions, as
 well as a '*.xlsx' template to collect the management data.

Package: r-cran-soilphysics
Architecture: all
Version: 5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2616
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-boot, r-cran-mass, r-cran-shiny, r-cran-rhandsontable, r-cran-shinydashboard, r-cran-fields
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rpanel
Filename: pool/dists/focal/main/r-cran-soilphysics_5.0-1.ca2004.1_all.deb
Size: 1537712
MD5sum: c1364af49847ae15bee8b49c6dc10ecc
SHA1: 2f4720df87bae4a417c5dc65bea93ee7124c61c5
SHA256: 3398400950f5a7838499bda9e1c3f01379a7d1b905f554acab986ca191ec5a7e
SHA512: 06bbdb930dc3b5b7bc58c5cf0538ea7a2f35907f1d1c1405efd930d1f301c6e2e89d0a6b07221a1320a2954238df4a73564aa43b3af95b9c2f3d667e2cb6a828
Homepage: https://cran.r-project.org/package=soilphysics
Description: CRAN Package 'soilphysics' (Soil Physical Analysis)
 Basic and model-based soil physical analyses.

Package: r-cran-soilr
Architecture: all
Version: 1.2.107-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3714
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desolve, r-cran-igraph, r-cran-assertthat, r-cran-expm, r-cran-sets, r-cran-purrr
Suggests: r-cran-fme, r-cran-lattice, r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-getopt, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-soilr_1.2.107-1.ca2004.1_all.deb
Size: 1976884
MD5sum: 549697882de3f03e2e8efc9aa41f8764
SHA1: 50ffd73b861c42335373479a7cd3184fd964b9a4
SHA256: 0aa80b78911fa9a629a94c8a3c2c9b55d791cdda022dd8c91d73cbb205ee05e4
SHA512: 15ec0340df4976dfbc7e76f8c5b08cb7853ccf0cbb5088fd49a9dc7607c8c02aae4cf8ac6c2fa6850d3679852b2e0bb4f54eef3cd089fdd65e9db3e23689f248
Homepage: https://cran.r-project.org/package=SoilR
Description: CRAN Package 'SoilR' (Models of Soil Organic Matter Decomposition)
 Functions for modeling Soil Organic Matter decomposition in terrestrial
 ecosystems with linear and nonlinear systems of differential equations.  The
 package implements models according to the compartmental system
 representation described in Sierra and others (2012)
 <doi:10.5194/gmd-5-1045-2012> and Sierra and others (2014)
 <doi:10.5194/gmd-7-1919-2014>.

Package: r-cran-soilsaltindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4777
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soilsaltindex_0.1.0-1.ca2004.1_all.deb
Size: 4340304
MD5sum: 0ba0c0ceeb1f13105dc7a7657dece94d
SHA1: 4c0e82a1ed6c6b008784c881b035ae05c1f0c5d9
SHA256: 0dbea6b79770f9120e3bdda328581400c687dfbde5b23366443522eb3d286dc2
SHA512: e1f35e75d7f030f2e4e9a2c5142f1203b1b05a4c407d01e0323a3d131386b6c878ceb4dfc1f797b81d9279eb82914662583607cce2e3fc4d38b618198afc363f
Homepage: https://cran.r-project.org/package=SoilSaltIndex
Description: CRAN Package 'SoilSaltIndex' (Soil Salinity Indices Generation using Satellite Data)
 The developed function generates soil salinity indices using satellite data,
 utilizing multiple spectral bands such as Blue, Green, Red, Near-Infrared
 (NIR), and Shortwave Infrared (SWIR1, SWIR2). It computes 24 different
 salinity indices crucial for monitoring and analyzing salt-affected soils
 efficiently.  For more details see, Rani, et al. (2022). <DOI:
 10.1007/s12517-022-09682-3>. One of the key features of the developed
 function is its flexibility.  Users can provide any combination of the
 required spectral bands, and the function will automatically calculate only
 the relevant indices based on the available data.  This dynamic capability
 ensures that users can maximize the utility of their data without the need
 for all spectral bands, making the package versatile and user-friendly.
 Outputs are provided as GeoTIFF file format, facilitating easy integration
 with GIS workflows.

Package: r-cran-soiltaxonomy
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 580
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-soildb, r-cran-ape, r-cran-data.tree
Filename: pool/dists/focal/main/r-cran-soiltaxonomy_0.2.7-1.ca2004.1_all.deb
Size: 408800
MD5sum: d1e944a30ddb85c77efecc3aae6c96f0
SHA1: 12a6d16701ccffe2a79d826a6a8e2d89423632d8
SHA256: bbf6855a3d079f0b5da17c4882edcccd92a33d0b5863e4a551105e00e08dfef1
SHA512: cd9177677b02f9c6896a8e79b101f72267fe5c8939ef6b7eacb8d91328f15d6b31411f179eea336d0ca9ed1ef93636b862bd59300b3ad37894e1dbc47835ffde
Homepage: https://cran.r-project.org/package=SoilTaxonomy
Description: CRAN Package 'SoilTaxonomy' (A System of Soil Classification for Making and Interpreting SoilSurveys)
 Taxonomic dictionaries, formative element lists, and functions related to
 the maintenance, development and application of U.S. Soil Taxonomy.  Data
 and functionality are based on official U.S. Department of Agriculture
 sources including the latest edition of the Keys to Soil Taxonomy.
 Descriptions and metadata are obtained from the National Soil Information
 System or Soil Survey Geographic databases. Other sources are referenced in
 the data documentation.  Provides tools for understanding and interacting
 with concepts in the U.S. Soil Taxonomic System. Most of the current
 utilities are for working with taxonomic concepts at the "higher" taxonomic
 levels: Order, Suborder, Great Group, and Subgroup.

Package: r-cran-soiltestcorr
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3018
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-purrr, r-cran-data.table, r-cran-ggplot2, r-cran-ggpp, r-cran-nlstools, r-cran-minpack.lm, r-cran-modelr, r-cran-nlraa, r-cran-aiccmodavg, r-cran-smatr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-soiltestcorr_2.2.1-1.ca2004.1_all.deb
Size: 1502800
MD5sum: 11e40610ca8ab2864d2b263da8e77612
SHA1: f78d5eb62cecc378fdda2a5f423dd7e595c4b61b
SHA256: 2a06a48ddc36ff249370876b49ec23a6d60732c5f8f1057fd1627a05222a594d
SHA512: 026d91758c91c378a3b6f954c935e5e5442a8fe638827e23a73705f865078274511b7608ec1b20514adcec66520830a50b4cde65cb577c4da84e91869b47208e
Homepage: https://cran.r-project.org/package=soiltestcorr
Description: CRAN Package 'soiltestcorr' (Soil Test Correlation and Calibration)
 A compilation of functions designed to assist users on the correlation
 analysis of crop yield and soil test values. Functions to estimate crop
 response patterns to soil nutrient availability and critical soil test
 values using various approaches such as: 1) the modified arcsine-log
 calibration curve (Correndo et al. (2017) <doi:10.1071/CP16444>); 2) the
 graphical Cate-Nelson quadrants analysis (Cate & Nelson (1965)), 3) the
 statistical Cate-Nelson quadrants analysis (Cate & Nelson (1971)
 <doi:10.2136/sssaj1971.03615995003500040048x>), 4) the linear-plateau
 regression (Anderson & Nelson (1975) <doi:10.2307/2529422>), 5) the
 quadratic-plateau regression (Bullock & Bullock (1994)
 <doi:10.2134/agronj1994.00021962008600010033x>), and 6) the
 Mitscherlich-type exponential regression (Melsted & Peck (1977)
 <doi:10.2134/asaspecpub29.c1>). The package development stemmed from ongoing
 work with the Fertilizer Recommendation Support Tool (FRST) and Feed the
 Future Innovation Lab for Collaborative Research on Sustainable
 Intensification (SIIL) projects.

Package: r-cran-soiltesting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soiltesting_0.1.0-1.ca2004.1_all.deb
Size: 47564
MD5sum: 7dcd2a3648b8219d1a8c802f321f9ca8
SHA1: fe7aea6ae42a9f5c7a568e9c22d0a12309a651ba
SHA256: aab86b26e31977e72720549aea6c47739f5ae5933d3ee64dde55191616ad1590
SHA512: 4de6aadd60e3b89a26f35d4f8669e4bc04dc55e05fdfdad6f7a146c01d03b68bc43a044ce4e6c2e4d5d33849b87c1cfb1d179026624c9532962caffc87af5969
Homepage: https://cran.r-project.org/package=SoilTesting
Description: CRAN Package 'SoilTesting' (Organic Carbon and Plant Available Nutrient Contents in Soil)
 Testing of soil for the contents of organic carbon, and available macro- and
 micro-nutrients is a crucial part of soil fertility assessment. This package
 computes some routinely tested soil properties viz. organic carbon (C),
 total nitrogen (N), available N, mineral N, available phosphorus (P),
 available potassium (K), available iron (Fe), available zinc (Zn), available
 manganese (Mn), available copper (Cu), and available nickel (Ni) in soil
 based on laboratory analysis data obtained by most commonly followed
 protocols. Besides, it can also draw standard curves based on
 absorption/emission vs. concentration data, and give out unknown
 concentrations from absorption/emission readings.

Package: r-cran-soiltexture
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp, r-cran-mass
Suggests: r-cran-xtable
Filename: pool/dists/focal/main/r-cran-soiltexture_1.5.3-1.ca2004.1_all.deb
Size: 762676
MD5sum: 418cd32cc1fa73da5671aee99eb529e6
SHA1: bfffc48e9b3b14efe6df2b79cec654ba47c8b3a3
SHA256: 89aabccad736f1d1d388e9efa6f6a7a26071aa7e8979c7165ea2f364cfb96d8d
SHA512: 18144bc00913b99c827ae4f63b21df69316532ef88239edff475a80439b9e66d8709f715ba36f467f7324ba15a319cfec687af7002c97bf7b3f6106e4990b548
Homepage: https://cran.r-project.org/package=soiltexture
Description: CRAN Package 'soiltexture' (Functions for Soil Texture Plot, Classification andTransformation)
 "The Soil Texture Wizard" is a set of R functions designed to produce
 texture triangles (also called texture plots, texture diagrams, texture
 ternary plots), classify and transform soil textures data. These functions
 virtually allows to plot any soil texture triangle (classification) into any
 triangle geometry (isosceles, right-angled triangles, etc.). This set of
 function is expected to be useful to people using soil textures data from
 different soil texture classification or different particle size systems.
 Many (> 15) texture triangles from all around the world are predefined in
 the package. A simple text based graphical user interface is provided:
 soiltexture_gui().

Package: r-cran-soilwater
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-raster
Filename: pool/dists/focal/main/r-cran-soilwater_1.0.5-1.ca2004.1_all.deb
Size: 35088
MD5sum: b59b228b6dff67ff3cfa8901f881d3bd
SHA1: d203dad4e705e6694b85bed9e726214fd03d26ce
SHA256: fbc5ba84e8ed503c4d47097ad868334ff44b72806c633f452e764814942646f6
SHA512: ad2847344423a76ab2440aee5a14566073c7f605946125edac46304be4dbaf3bddc789018a63605034f186d82dc7a6688950e5f86c57249f9c7f5eca02c612b9
Homepage: https://cran.r-project.org/package=soilwater
Description: CRAN Package 'soilwater' (Implementation of Parametric Formulas for Soil Water Retentionor Conductivity Curve)
 It implements parametric formulas of soil water retention or conductivity
 curve. At the moment, only Van Genuchten (for soil water retention curve)
 and Mualem (for hydraulic conductivity) were implemented.  See reference
 (<http://en.wikipedia.org/wiki/Water_retention_curve>).

Package: r-cran-sojourn.data
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-nnet
Filename: pool/dists/focal/main/r-cran-sojourn.data_0.3.0-1.ca2004.1_all.deb
Size: 45936
MD5sum: d0ea7e833f8242dec69bb16d53604130
SHA1: 6bd1756f96d77847c043dbe956e7071de67adb7c
SHA256: 068610ce4e5404ea5c6fd6198cd3436b1ec36df4fcf9949aeb28a44cd115821c
SHA512: d7861161a9db48e9998d1aa9e9b51b05858743b47bb9edada48d6b6cd772fb31d910b38f43b7e99814cfcfbbff6f6a50ef247305086e41b0e8ebc07ca600e303
Homepage: https://cran.r-project.org/package=Sojourn.Data
Description: CRAN Package 'Sojourn.Data' (Supporting Objects for Sojourn Accelerometer Methods)
 Stores objects (e.g. neural networks) that are needed for using Sojourn
 accelerometer methods. For more information, see Lyden K, Keadle S,
 Staudenmayer J, & Freedson P (2014) <doi:10.1249/MSS.0b013e3182a42a2d>,
 Ellingson LD, Schwabacher IJ, Kim Y, Welk GJ, & Cook DB (2016)
 <doi:10.1249/MSS.0000000000000915>, and Hibbing PR, Ellingson LD, Dixon PM,
 & Welk GJ (2018) <doi:10.1249/MSS.0000000000001486>.

Package: r-cran-sojourn
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 701
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-lubridate, r-cran-pautilities, r-cran-rlang, r-cran-svdialogs, r-cran-zoo
Suggests: r-cran-data.table, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sojourn_1.1.0-1.ca2004.1_all.deb
Size: 381540
MD5sum: baa6e2b1013f9649da5326f3541cdad2
SHA1: 3319b54ab261eb4d641ecb86e7c3b85fffdc1184
SHA256: 63d85dcb188d0a23bdeb53ebdd95c16af99e64a49d197e64a4215f84787da0cc
SHA512: 23e86d3fc331898cea9af7e276755f34882826846c35877886f123dd193b018b63e69fdb6c2a3ae72fab71f76f81e978f9c4572f0f6e924697f6a1ad84939b7b
Homepage: https://cran.r-project.org/package=Sojourn
Description: CRAN Package 'Sojourn' (Apply Sojourn Methods for Processing ActiGraph AccelerometerData)
 Provides a simple way for utilizing Sojourn methods for accelerometer
 processing, as detailed in Lyden K, Keadle S, Staudenmayer J, & Freedson P
 (2014) <doi:10.1249/MSS.0b013e3182a42a2d>, Ellingson LD, Schwabacher IJ, Kim
 Y, Welk GJ, & Cook DB (2016) <doi:10.1249/MSS.0000000000000915>, and Hibbing
 PR, Ellingson LD, Dixon PM, & Welk GJ (2018)
 <doi:10.1249/MSS.0000000000001486>.

Package: r-cran-sokoban
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sokoban_0.1.0-1.ca2004.1_all.deb
Size: 31512
MD5sum: 9cd209f956f779840f079482f06f1c90
SHA1: 4011c5c1a4b3734d3569c7de1cf260b8b119d772
SHA256: 715ad9be74f5c40bd38cc23e85f4d87dbefeb62b2627c4715685c57f77edec2f
SHA512: c711f0ccbc86cd1414b0797003dd3070458c137d16d6accc66ba08cc46d700629b9bce7d44378e7092573fa21a6901b6271712df75c0a760d27256ff38112f1c
Homepage: https://cran.r-project.org/package=sokoban
Description: CRAN Package 'sokoban' (Sokoban Game)
 Interactively play a game of sokoban ,which has nine game levels.Sokoban is
 a type of transport puzzle, in which the player pushes boxes or crates
 around in a warehouse, trying to get them to storage locations.

Package: r-cran-solar2
Architecture: all
Version: 0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 855
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-data.table, r-cran-latticeextra, r-cran-rcolorbrewer, r-cran-httr2
Suggests: r-cran-zoo, r-cran-sp, r-cran-raster, r-cran-rastervis, r-cran-tdr, r-cran-meteoforecast, r-cran-jsonlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-solar2_0.11-1.ca2004.1_all.deb
Size: 722972
MD5sum: 2103ba8d6ea7808693ae17025a665f93
SHA1: 3aeda3ff8c1250a428786c310256acd32c318a14
SHA256: 5455fe9ae7905312701d771c78e054a217e52393ca8db0519963c0891c53aff4
SHA512: e324aef1060ef5dd0182c932c909557aaa3b4296a6d13cf6ede9c224d9ac32fda59591092e394885ee83ad775ffee2d04f0b8746bd58e5ba213faf4f26b1abea
Homepage: https://cran.r-project.org/package=solaR2
Description: CRAN Package 'solaR2' (Radiation and Photovoltaic Systems)
 Provides tools for calculating solar geometry, solar radiation on horizontal
 and inclined planes, and simulating the performance of various photovoltaic
 (PV) systems. Supports daily and intradaily irradiation data, enabling
 detailed analysis of grid-connected and water-pumping PV systems, including
 shading effects and solar angle calculations.

Package: r-cran-solar
Architecture: all
Version: 0.47-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 808
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-lattice, r-cran-latticeextra, r-cran-rcolorbrewer
Suggests: r-cran-sp, r-cran-raster, r-cran-rastervis, r-cran-tdr, r-cran-meteoforecast
Filename: pool/dists/focal/main/r-cran-solar_0.47-1.ca2004.1_all.deb
Size: 666200
MD5sum: 52b33791e5f667913182ce7e774d00ef
SHA1: 5e823d4ba8f61ed84ab8e5afeffec2bacc06922e
SHA256: 1046c72a9f53487fa2fc21acb5adc663303a30c8953298b7b3c8197b9e9e06fc
SHA512: bbb2adfdfbb8e3bbad97967e0c103979b9424d0fd5a080aed3c9a8fab45b05f7dc77bf07821bd570aff852b3d7f8f84699036ad0587f9a43ce768316c502c9ef
Homepage: https://cran.r-project.org/package=solaR
Description: CRAN Package 'solaR' (Radiation and Photovoltaic Systems)
 Calculation methods of solar radiation and performance of photovoltaic
 systems from daily and intradaily irradiation data sources.

Package: r-cran-solarpos
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-solarpos_1.0-1.ca2004.1_all.deb
Size: 43288
MD5sum: 33cd1ce25356e0b9810223a6741cc95a
SHA1: 55dfd07729dbefacc76cfbc26f07ce8351014e34
SHA256: 2c06b5b80a314efe88305f29d78d72f8e8f5c9ed7826f98135d77a86f55b2f32
SHA512: 6c89b0ae702adf7c7f638572a5d82a14f2850c18629e66aad40829de28e6a96dcb9233ea7a747220ee64d297be6b093cc135b9251f30ed00042729aa26ddb2e7
Homepage: https://cran.r-project.org/package=solarPos
Description: CRAN Package 'solarPos' (Solar Position Algorithm for Solar Radiation Applications)
 Calculation of solar zenith and azimuth angles.

Package: r-cran-solartime
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-solartime_0.0.4-1.ca2004.1_all.deb
Size: 79856
MD5sum: 76bdf27a6c6e99e2d363988b5e82505a
SHA1: 1cd4ef0e44e20b4769c0a175c4f01b750a980c0f
SHA256: 4dd143801afa6c3025241f893e609ece9d56db0aa87b874f2c8b3fb821c806bb
SHA512: 2eba6eddadedda1159b7e3061bc2e1f2b5e321f9153bc7048476e024702dc4321f204bfcc5d648f9f31b0f7ac719442cf1848cb43fcb3ef65d241bf6439d15c1
Homepage: https://cran.r-project.org/package=solartime
Description: CRAN Package 'solartime' (Utilities Dealing with Solar Time Such as Sun Position and Timeof Sunrise)
 Provide utilities to work with solar time, i.e. where noon is exactly when
 sun culminates.  Provides functions for computing sun position and times of
 sunrise and sunset.

Package: r-cran-solitude
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ranger, r-cran-data.table, r-cran-igraph, r-cran-future.apply, r-cran-r6, r-cran-lgr
Suggests: r-cran-tidyverse, r-cran-uwot, r-cran-mlbench, r-cran-rsample
Filename: pool/dists/focal/main/r-cran-solitude_1.1.3-1.ca2004.1_all.deb
Size: 62988
MD5sum: 9d8500af76060f78197dbd89e2ab3838
SHA1: 02690a1b1799d163822705479056031de0a379de
SHA256: 6ef35c6ebde815fbaeb944a98337cfadd70c9b4bf636ee1aaa9e7fc18d8642fe
SHA512: f07c3d76b7843010915a3a9c27c037e2bac44f2be034edaaefb1bc079fb8d4fbe8b73defc6c4f01d65a629afc0ce38bdbab37fb1448232585c5644628e1df082
Homepage: https://cran.r-project.org/package=solitude
Description: CRAN Package 'solitude' (An Implementation of Isolation Forest)
 Isolation forest is anomaly detection method introduced by the paper
 Isolation based Anomaly Detection (Liu, Ting and Zhou
 <doi:10.1145/2133360.2133363>).

Package: r-cran-solomon
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-solomon_1.0-1-1.ca2004.1_all.deb
Size: 385288
MD5sum: ad251aff08b9394307900e441ce3c485
SHA1: 1a964e70d87d41b656dad8bd2c57818bef73e02f
SHA256: 9c3c79db8c2e4947dc74e8e8a6abc0a28868c6c7e101b579c4b3a98dade6b3b7
SHA512: 53ac1979c94713acf721173e03115b6d2a5c30bfd0decff1b3857a9eeb9d75fbcda213dd7474da666734c40033002d4ec6d00fa9847fb9f40ca3867ccb806a11
Homepage: https://cran.r-project.org/package=SOLOMON
Description: CRAN Package 'SOLOMON' (Parentage analysis)
 Parentage analysis using Bayes' theorem

Package: r-cran-solrad
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-solrad_1.0.0-1.ca2004.1_all.deb
Size: 66052
MD5sum: cb291f87d8e61548ce9bb68a28786dd8
SHA1: 0bc74c2320f7a93c1fe33fd7da8e2af979d64fdc
SHA256: 7b16944a51e4bee220e35e3d7ee7d31142f262232076679df9e48ecf8c12f01e
SHA512: e3f05b7d0f0961f15ca9fa51ccf2e2ef5c002de2ec92b8e9d4a168463cddedbc621fdb404df576b9eeca0694f9548000c021703abce466368a1fc3314d5ebebc
Homepage: https://cran.r-project.org/package=solrad
Description: CRAN Package 'solrad' (Calculating Solar Radiation and Related Variables Based onLocation, Time and Topographical Conditions)
 For surface energy models and estimation of solar positions and components
 with varying topography, time and locations. The functions calculate solar
 top-of-atmosphere, open, diffuse and direct components, atmospheric
 transmittance and diffuse factors, day length, sunrise and sunset, solar
 azimuth, zenith, altitude, incidence, and hour angles, earth declination
 angle, equation of time, and solar constant. Details about the methods and
 equations are explained in Seyednasrollah, Bijan, Mukesh Kumar, and Timothy
 E. Link. 'On the role of vegetation density on net snow cover radiation at
 the forest floor.' Journal of Geophysical Research: Atmospheres 118.15
 (2013): 8359-8374, <doi:10.1002/jgrd.50575>.

Package: r-cran-solrium
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plyr, r-cran-crul, r-cran-xml2, r-cran-jsonlite, r-cran-tibble, r-cran-r6
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-solrium_1.2.0-1.ca2004.1_all.deb
Size: 393716
MD5sum: cf8a5c6b600522cf0fb3b0f64b005e1c
SHA1: ddd961643d6c689d12a96cfa268432e5db990bec
SHA256: 0da19d9d9f8eb177ad6be4245c2a918cd50390424ccec37b51be17deccc651ef
SHA512: d2e8de903402ecd59213dd296ee6606dc4709be9808140a0e2f59bed9202c9c55dcf2b812c111629550ccfa19319d641c37e0a464b70dc474c28dfb17eb23e98
Homepage: https://cran.r-project.org/package=solrium
Description: CRAN Package 'solrium' (General Purpose R Interface to 'Solr')
 Provides a set of functions for querying and parsing data from 'Solr'
 (<https://solr.apache.org/>) 'endpoints' (local and remote), including
 search, 'faceting', 'highlighting', 'stats', and 'more like this'. In
 addition, some functionality is included for creating, deleting, and
 updating documents in a 'Solr' 'database'.

Package: r-cran-solvebio
Architecture: all
Version: 2.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-mime
Suggests: r-cran-testthat, r-cran-shiny, r-cran-shinyjs, r-cran-openssl
Filename: pool/dists/focal/main/r-cran-solvebio_2.15.1-1.ca2004.1_all.deb
Size: 262068
MD5sum: 34b6a9b121d5cbca48be890cdeba309d
SHA1: 4789f016a2c9718b81f6377a6203e4f47dff9f87
SHA256: da50b773ae4201d80c1d1a2fbe56750aebf93b50238df2458e0bfce2f5a60490
SHA512: 983ddf129e3ef84ad68c3f9181d77eba495b5f7486490e0850620745895e5b184f2f63cdc290f0ea66db2733b7d5e507b5e5c0bf116b9808c8af98316357358e
Homepage: https://cran.r-project.org/package=solvebio
Description: CRAN Package 'solvebio' (The Official SolveBio API Client)
 R language bindings for SolveBio's API.  SolveBio is a biomedical knowledge
 hub that enables life science organizations to collect and harmonize the
 complex, disparate "multi-omic" data essential for today's R&D and BI needs.

Package: r-cran-solverationalmatrixequation
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-solverationalmatrixequation_0.1.0-1.ca2004.1_all.deb
Size: 19160
MD5sum: 0ee71f07d485e8ae3960ace2da4bbea9
SHA1: 93a26ef7f691668717010b90dfd50832d597e472
SHA256: 02df69cef0a55d575c47dc23964218e06ebde9d1d15c1916a483dde51625e8a8
SHA512: 8623462c0ef8c96da8595a463254f3936aedac809d0ea06fa185b4ae7cd9236ec3630587a14e68a49469dc567b13c0b01d170a7507fa6b388e0f88b3db131941
Homepage: https://cran.r-project.org/package=SolveRationalMatrixEquation
Description: CRAN Package 'SolveRationalMatrixEquation' (Solve Rational Matrix Equation)
 Given a symmetric positive definite matrix Q and a non-singular matrix L,
 find symmetric positive definite solution X such that X = Q + L (X inv) L^T.
 Reference: Benner, P., Faßbender, H. On the Solution of the Rational Matrix
 Equation.  Benner, Faßbender (2007) <doi:10.1155/2007/21850>.

Package: r-cran-solvesaphe
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-solvesaphe_2.1.0-1.ca2004.1_all.deb
Size: 128172
MD5sum: 6484530f0acbcc6543a2c3f2fdbff94e
SHA1: 5b364ea2ecd688b99a37e6b9eb39498d9eb27ca9
SHA256: 2d90c8c9887199b6cc6c98fcde15e34f7a3c283d193800bf5d4b0dfd177e4e78
SHA512: 374e156c5c8301080bcc8bc82c0c29c75d02a537e6ab5d3ab1ee3cf6cadddf2eb9f7d8ae265a4ab3c2fa3f234bb1fda6c8840cb017e9c11b315745a3fa8f129d
Homepage: https://cran.r-project.org/package=SolveSAPHE
Description: CRAN Package 'SolveSAPHE' (Solver Suite for Alkalinity-PH Equations)
 Universal and robust algorithm for solving the total alkalinity-pH equation
 presented in G. Munhoven (2013) <doi:10.5194/gmd-6-1367-2013> and G.
 Munhoven (2021) <doi:10.5194/gmd-2020-447>. The total alkalinity-pH equation
 relates total alkalinity and pH for a given set of acid-base concentrations
 in a given water sample, among which carbonic acid. This package is
 particularly useful in marine chemistry involving dissolved inorganic
 carbon. Original package in Fortran can be found at
 <doi:10.5281/zenodo.4328965>.

Package: r-cran-som.nn
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-hexbin, r-cran-class, r-cran-kohonen, r-cran-som
Filename: pool/dists/focal/main/r-cran-som.nn_1.4.4-1.ca2004.1_all.deb
Size: 275612
MD5sum: e6085764ff92c28e9c86a6a270aa14a2
SHA1: 9c4b282f749609f5c847c9737c177bcdbbc451e1
SHA256: 7d45704c6be901c3813559d1e8cd4690c87e96e9bf76a7c8619b297521861857
SHA512: b26f4e77b1eedb60286f285d700647679c7caeabd5cd09e649ff266335f8cb40c5954bac732419d283c08d95bbad3990959a927402a87a10dfc1fabb0934b3ae
Homepage: https://cran.r-project.org/package=som.nn
Description: CRAN Package 'som.nn' (Topological k-NN Classifier Based on Self-Organising Maps)
 A topological version of k-NN: An abstract model is build as 2-dimensional
 self-organising map. Samples of unknown class are predicted by mapping them
 on the SOM and analysing class membership of neurons in the neighbourhood.

Package: r-cran-soma
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reportr
Suggests: r-cran-tinytest, r-cran-covr, r-cran-shades
Filename: pool/dists/focal/main/r-cran-soma_1.2.0-1.ca2004.1_all.deb
Size: 31892
MD5sum: b601f48d156429c7bc9a8e8db6254e26
SHA1: d462a29ac9de5676880196658ecbd0127375f704
SHA256: 8b80e9c1b77599efa4eb3e4c692017af0490c0feedc54d16af21ca8f672e16df
SHA512: 6205e41d4d6662e7f166841edbacf8d841006433191d10defb30e5a6b6bf785f81a5c1d39070e5767f730f670c865a68fa876530fe6f751a4f4160a78524225f
Homepage: https://cran.r-project.org/package=soma
Description: CRAN Package 'soma' (General-Purpose Optimisation with the Self-Organising MigratingAlgorithm)
 An R implementation of the Self-Organising Migrating Algorithm, a
 general-purpose, stochastic optimisation algorithm. The approach is similar
 to that of genetic algorithms, although it is based on the idea of a series
 of ``migrations'' by a fixed set of individuals, rather than the development
 of successive generations. It can be applied to any cost-minimisation
 problem with a bounded parameter space, and is robust to local minima.

Package: r-cran-somadataio
Architecture: all
Version: 6.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5054
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-readxl, r-cran-tibble, r-cran-tidyr
Suggests: r-bioc-biobase, r-cran-knitr, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-somadataio_6.3.0-1.ca2004.1_all.deb
Size: 4085576
MD5sum: 41f06101bf4b6c896fe24eeec01545c6
SHA1: 504ae3557f9e9e4ab81894c8cc1741e74d26aec9
SHA256: 3b2bd1b73c946d4566cb624e67edb0f023de4445feee256ec88b3847f61bea1f
SHA512: ebd973ae8feae81ac59131ee68290b1c151402fc82468bf0412d62495993520d9beb4693859062fd4fa5e829ca593b6a74921f449dd4dfd71e7bc7086450b9f5
Homepage: https://cran.r-project.org/package=SomaDataIO
Description: CRAN Package 'SomaDataIO' (Input/Output 'SomaScan' Data)
 Load and export 'SomaScan' data via the 'Standard BioTools, Inc.' structured
 text file called an ADAT ('*.adat'). For file format see
 <https://github.com/SomaLogic/SomaLogic-Data/blob/main/README.md>.  The
 package also exports auxiliary functions for manipulating, wrangling, and
 extracting relevant information from an ADAT object once in memory.

Package: r-cran-somaticflags
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-usethis, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-somaticflags_0.1.0-1.ca2004.1_all.deb
Size: 15084
MD5sum: c72807863adb965611b00030e0d5d921
SHA1: d2945b0eaf4c033538f086a1fb7ea9525c948ae3
SHA256: 1a66f868091dcd9d19d9f0923eb9cf6aad9434ead2bce4f3fe5373b66dd68293
SHA512: eb11bfd1e8845ca674a634a2674be3a29efbc4b0c3f4c27b1530fdcc95bc121658e3659d4a111fad6a1b9d79dcd0da479493ceaa6c631488cab3b7f7ffb152b1
Homepage: https://cran.r-project.org/package=somaticflags
Description: CRAN Package 'somaticflags' (Database of Somatic Flags)
 Database of genes which frequently sustain somatic mutations, but are
 unlikely to drive cancer.

Package: r-cran-sombrero
Architecture: all
Version: 1.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-igraph, r-cran-markdown, r-cran-scatterplot3d, r-cran-shiny, r-cran-ggplot2, r-cran-ggwordcloud, r-cran-metr, r-cran-interp, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-hexbin, r-cran-shinycssloaders, r-cran-shinybs, r-cran-shinyjs, r-cran-shinyjqui, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-sombrero_1.4-3-1.ca2004.1_all.deb
Size: 849756
MD5sum: 1facbc227d6318d9921392ef11786e3c
SHA1: 4199a1f4912f36e4a2b8f1567ba945a4cfc42cd0
SHA256: fdec4654b60ef8e1cdb79ace6a9a4768373fe01cff0cb0759daec9ea9a3260a8
SHA512: 056f90990093750691bfae7a2b3fa3ff6e0d5812c53735d76bb7363b51dbd9d9fb05267f79a290485845d38a3015eebc90435373df47afdd25aa0775d4181d45
Homepage: https://cran.r-project.org/package=SOMbrero
Description: CRAN Package 'SOMbrero' (SOM Bound to Realize Euclidean and Relational Outputs)
 The stochastic (also called on-line) version of the Self-Organising Map
 (SOM) algorithm is provided. Different versions of the algorithm are
 implemented, for numeric and relational data and for contingency tables as
 described, respectively, in Kohonen (2001) <isbn:3-540-67921-9>, Olteanu &
 Villa-Vialaneix (2005) <doi:10.1016/j.neucom.2013.11.047> and Cottrell et al
 (2004) <doi:10.1016/j.neunet.2004.07.010>. The package also contains many
 plotting features (to help the user interpret the results), can handle (and
 impute) missing values and is delivered with a graphical user interface
 based on 'shiny'.

Package: r-cran-somebm
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-somebm_0.1-1.ca2004.1_all.deb
Size: 16220
MD5sum: 32d8d0e3c4b0207f9b2fd90dff143b74
SHA1: 0055b08b6cb948128aec6b1c45719ba3928f79bc
SHA256: 5fd8158107cc4c7a2b400fc1fdb3a1086d815fb5ffca15825155e93c5817c6d9
SHA512: 5e67982d43937e88d5a0bb1a1d2930f2957097bf97e8b7ac3caf63945c279249ede2cd67cee49ee7cca7a6bc884ad9dfdcf6a28dfd723960bdf76756c2cd1610
Homepage: https://cran.r-project.org/package=somebm
Description: CRAN Package 'somebm' (some Brownian motions simulation functions)
 some Brownian motions simulation functions

Package: r-cran-somemtp
Architecture: all
Version: 1.4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-somemtp_1.4.1.1-1.ca2004.1_all.deb
Size: 198416
MD5sum: 5228c3fea660cd2971035e22315984de
SHA1: 1cf1d9ffd9c99af598c4f9b0c9524451413bcae5
SHA256: d00603ae84d7e19c7da7674d1820ec308e9569b8c4e2a610ef14ece841f8288d
SHA512: dab2373799d37a7eb4b19fd7417ab9489575633cd7b292a1c4e909baa0ec1f8ff74747543a3d8d676ed3dec95af4c9c686e5ceddac53738af8ebaec90f0236b9
Homepage: https://cran.r-project.org/package=someMTP
Description: CRAN Package 'someMTP' (Some Multiple Testing Procedures)
 It's a collection of functions for Multiplicity Correction and Multiple
 Testing.

Package: r-cran-somenv
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlist, r-cran-kohonen, r-cran-shiny, r-cran-dplyr, r-cran-plyr, r-cran-openair, r-cran-colourpicker, r-cran-shinycssloaders, r-cran-shinycustomloader
Filename: pool/dists/focal/main/r-cran-somenv_1.1.2-1.ca2004.1_all.deb
Size: 147380
MD5sum: a6eda7d66ba74f2dd0815a9e0eaa57a5
SHA1: 12ef899fca24a09c0493f7a858ab03ee1b36c719
SHA256: 9919fa5e2766ca144f3dd29839025fb4e041288cea1b3daaa8de100c5449293e
SHA512: a013479d41a0ed71b060a11d5417cafcbd6de6697f49e8535b14dc4530f6f1fb6c9945e9e0eabcbeeeb19ca4930c8fd48fe800d931b3ecf465098e4636ee216b
Homepage: https://cran.r-project.org/package=SOMEnv
Description: CRAN Package 'SOMEnv' (SOM Algorithm for the Analysis of Multivariate EnvironmentalData)
 Analysis of multivariate environmental high frequency data by
 Self-Organizing Map and k-means clustering algorithms. By means of the
 graphical user interface it provides a comfortable way to elaborate by
 self-organizing map algorithm rather big datasets (txt files up to 100 MB )
 obtained by environmental high-frequency monitoring by sensors/instruments.
 The functions present in the package are based on 'kohonen' and 'openair'
 packages implemented by functions embedding Vesanto et al. (2001)
 <http://www.cis.hut.fi/projects/somtoolbox/package/papers/techrep.pdf>
 heuristic rules for map initialization parameters, k-means clustering
 algorithm and map features visualization. Cluster profiles visualization as
 well as graphs dedicated to the visualization of time-dependent variables
 Licen et al. (2020) <doi:10.4209/aaqr.2019.08.0414> are provided.

Package: r-cran-somhca
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-kohonen, r-cran-awesom, r-cran-maptree, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-somhca_0.2.0-1.ca2004.1_all.deb
Size: 41636
MD5sum: 3e8afb353e4c62d02e4959c0cb46bf5f
SHA1: 73e4e8fe89f71e501ac41c10c257581e7d0b8d1f
SHA256: 5ff34c17d18fc9f1c095bf476e73c1b15915f6667a19f359e7c00923deaed26d
SHA512: 55cebcac7373b9b1ec547d0c052ffd74177ee01424d28b06a7318102a92b407d8ac4423dacfbf1ba5f525c9cde76833c1eb6fb4bde7a8b010140c82b5d797ab6
Homepage: https://cran.r-project.org/package=somhca
Description: CRAN Package 'somhca' (Self-Organising Maps Coupled with Hierarchical Cluster Analysis)
 Implements self-organising maps combined with hierarchical cluster analysis
 (SOM-HCA) for clustering and visualization of high-dimensional data.  The
 package includes functions to estimate the optimal map size based on various
 quality measures and to generate a model using the selected dimensions.  It
 also performs hierarchical clustering on the map nodes to group similar
 units.  Documentation about the SOM-HCA method is provided in Pastorelli et
 al. (2024) <doi:10.1002/xrs.3388>.

Package: r-cran-somnmr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3660
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-pracma, r-cran-minpack.lm, r-cran-quadprog, r-cran-intervalsurgeon, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-somnmr_0.3.0-1.ca2004.1_all.deb
Size: 3633100
MD5sum: 319585f17452a2ff37aafe5925ab0edc
SHA1: 5535c718740ec2cbc57c29b522fcbfb305e15caf
SHA256: 37389578db28f9d893292a4f8c429ab7ed8a41045d56e4bba0fb8493558dd4e2
SHA512: 5b2ce3d7506f98b80f608cb7d037ee3f44530dee8381a40ea525a6b3afa197f8525caab1b3d37c3d747c63e064de3523946176b24a33f5b7f757a06e18b65fc8
Homepage: https://cran.r-project.org/package=SOMnmR
Description: CRAN Package 'SOMnmR' (Analysis of Soil Organic Matter using Nuclear Magnetic Resonance)
 Integrates the 13C nuclear magnetic resonance spectra using different
 integration ranges. Output depends on the method chosen. For the Molecular
 Mixing Model, a measurement of the fitting quality is given by its R-factor.
 For more details see: <doi:10.5281/zenodo.10137768>.

Package: r-cran-somplot
Architecture: all
Version: 1.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hexbin
Filename: pool/dists/focal/main/r-cran-somplot_1.6.4-1.ca2004.1_all.deb
Size: 35828
MD5sum: 8731ff2d32fc0cb27da54370d73c12fa
SHA1: 4796b8035691594079b24108ccbfaa20e7072285
SHA256: 15c720baa97d05b2dc4e49704f96b24716fa8498676606d5e83c32d9042de6a8
SHA512: e2989c3010dba1680240ed4d81ba3a29a30d77cd08e5e2727ba21d5e625e99a8a57b75e6a3f7f25c738e33e20faf4cb54078acd204c52b769aa4010bd786d7b7
Homepage: https://cran.r-project.org/package=somplot
Description: CRAN Package 'somplot' (Visualisation of hexagonal Kohonen maps)
 The package provides the plot function som.plot() to create high quality
 visualisations of hexagonal Kohonen maps (self-organising maps).

Package: r-cran-somspace
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3943
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-data.table, r-cran-kohonen, r-cran-maps, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-somspace_1.2.4-1.ca2004.1_all.deb
Size: 3476404
MD5sum: 973ff15bdd482544af117c11cb663513
SHA1: fb6326489beb11f7d3314e4f73043a072f6d99c6
SHA256: b728ddcf4db6e6b826f5eb81e98d7e7f461759a4ed905e101e28f9db9f23e636
SHA512: 625284d0568f0d9b584d81aaa55708d5b7827ca545f5a598f7829a37830c3fbce323a478487fbe90b2c4e2ce54d3ba1617788a49f2e5501cb3bf3620d0d1c5d8
Homepage: https://cran.r-project.org/package=somspace
Description: CRAN Package 'somspace' (Spatial Analysis with Self-Organizing Maps)
 Application of the Self-Organizing Maps technique for spatial classification
 of time series. The package uses spatial data, point or gridded, to create
 clusters with similar characteristics. The clusters can be further refined
 to a smaller number of regions by hierarchical clustering and their spatial
 dependencies can be presented as complex networks. Thus, meaningful maps can
 be created, representing the regional heterogeneity of a single variable.
 More information and an example of implementation can be found in Markonis
 and Strnad (2020, <doi:10.1177/0959683620913924>).

Package: r-cran-sonar
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sonar_1.0.2-1.ca2004.1_all.deb
Size: 198524
MD5sum: 136b6a708f01be2011b3c77808ada500
SHA1: ef85ed5c3c9664fed30c594538cf2bde81c91222
SHA256: f82d462c077f7e62b14bf7318bbb916bfda8b9dc564f119d8734c3c812c2dd16
SHA512: 92c1e2e2991585c6dab8f310a013e4ef6a54f4c953c001033d487d5279637a5a21eb70342c82250bffe53360ce3d968d6a3e3c43849662c89f3ef333fb05716a
Homepage: https://cran.r-project.org/package=sonar
Description: CRAN Package 'sonar' (Fundamental Formulas for Sonar)
 Formulas for calculating sound velocity, water pressure, depth, density,
 absorption and sonar equations.

Package: r-cran-songevo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-geosphere, r-cran-lattice, r-cran-sp
Suggests: r-cran-reshape2, r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-songevo_1.0.0-1.ca2004.1_all.deb
Size: 618772
MD5sum: 58b14c71eedcaab76bbab36af6650332
SHA1: b7fea7fa37c778b7fb34597bec0bfaa166100bc4
SHA256: 390fd9baa1af2799d35be9797ba7bcc9dd044805bd58364ed19d15fa7e364467
SHA512: 136482668c14a5f24534e44e9c6a8e895e98f8ad04e419ec6fb844a7ea6c41774cc384794354345d6bdae460b714f2bc2994208e0e726807368bb4bf5eb0bd4c
Homepage: https://cran.r-project.org/package=SongEvo
Description: CRAN Package 'SongEvo' (An Individual-Based Model of Bird Song Evolution)
 Simulates the cultural evolution of quantitative traits of bird song.
 'SongEvo' is an individual- (agent-) based model. 'SongEvo' is
 spatially-explicit and can be parameterized with, and tested against,
 measured song data. Functions are available for model implementation,
 sensitivity analyses, parameter optimization, model validation, and
 hypothesis testing.

Package: r-cran-soniclength
Architecture: all
Version: 1.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-soniclength_1.4.7-1.ca2004.1_all.deb
Size: 387252
MD5sum: f6e20eb3cfb943d54e6fde2c8c9b95b5
SHA1: f9f8b3b1506fa9560a3be6ecc631c4848f3edd9c
SHA256: 8e4f61e5bd735795bcad308a41b040b36d1f58ab4f40d47ed32dcfd1993d8605
SHA512: 53198bab315d458c1f35e6dfbe0f85ab338dec6fe89e3e031e925d832c1da0b778c2a4aead14e9a724e73a98d8c101ad8d35f511f74c34a6d95aaa3cbb71fb47
Homepage: https://cran.r-project.org/package=sonicLength
Description: CRAN Package 'sonicLength' (Estimating Abundance of Clones from DNA Fragmentation Data)
 Estimate the abundance of cell clones from the distribution of lengths of
 DNA fragments (as created by sonication, whence `sonicLength').  The
 algorithm in "Estimating abundances of retroviral insertion sites from DNA
 fragment length data" by Berry CC, Gillet NA, Melamed A, Gormley N, Bangham
 CR, Bushman FD. Bioinformatics; 2012 Mar 15;28(6):755-62 is implemented.
 The experimental setting and estimation details are described in detail
 there. Briefly, integration of new DNA in a host genome (due to retroviral
 infection or gene therapy) can be tracked using DNA sequencing, potentially
 allowing characterization of the abundance of individual cell clones bearing
 distinct integration sites. The locations of integration sites can be
 determined by fragmenting the host DNA (via sonication or fragmentase),
 breaking the newly integrated DNA at a known sequence, amplifying the
 fragments containing both host and integrated DNA, sequencing those
 amplicons, then mapping the host sequences to positions on the reference
 genome. The relative number of fragments containing a given position in the
 host genome estimates the relative abundance of cells hosting the
 corresponding integration site, but that number is not available and the
 count of amplicons per fragment varies widely.  However, the expected number
 of distinct fragment lengths is a function of the abundance of cells hosting
 an integration site at a given position and a certain nuisance parameter.
 The algorithm implicitly estimates that function to estimate the relative
 abundance.

Package: r-cran-sonicscrewdriver
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2713
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-hms, r-cran-jsonlite, r-cran-mime, r-cran-rdpack, r-cran-seewave, r-cran-stringi, r-cran-suncalc, r-cran-tuner
Suggests: r-cran-av, r-cran-covr, r-cran-devtools, r-cran-googlecloudstorager, r-cran-googlelanguager, r-cran-knitr, r-cran-pbapply, r-cran-plotrix, r-cran-reticulate, r-cran-rmarkdown, r-cran-soundecology, r-cran-spelling, r-cran-testthat, r-cran-waveletcomp
Filename: pool/dists/focal/main/r-cran-sonicscrewdriver_0.0.7-1.ca2004.1_all.deb
Size: 1913036
MD5sum: a63db44705b10acc1be5900b236052d0
SHA1: f3b67cc92327467aded1f2a090d3743362e5b4fe
SHA256: 683c280efd6f4f7c6a2164234aa21db37c70d407aa19352fe014c34b1cf7e0e8
SHA512: 89551e81a701d04e0ffb2c5a43041390947a1eb2834bf292a956fc417aaa0177e64c76b04b94e639a0043f6d19ca7078771ef1daca5d3bb90fe187207379fab9
Homepage: https://cran.r-project.org/package=sonicscrewdriver
Description: CRAN Package 'sonicscrewdriver' (Bioacoustic Analysis and Publication Tools)
 Provides tools for manipulating sound files for bioacoustic analysis, and
 preparing analyses these for publication. The package validates that values
 are physically possible wherever feasible.

Package: r-cran-sonify
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tune
Filename: pool/dists/focal/main/r-cran-sonify_0.0-1-1.ca2004.1_all.deb
Size: 20112
MD5sum: c767f5573418b954ee3bc210bd19e829
SHA1: 7a468e1a9c4e43f9c11b03917a52be3b6cd03585
SHA256: 6475ff0d68abd7becb157b5fd25ca1a214d3860f31267b5172b4d4172e04509f
SHA512: 1e2caa711699e3d77f71d02a3f83f3c9be3a12025c344c5bbdaf73ed68e1f742c67bb3fe6fb8ff7233ef2498351e6e89335f7516a9ae3bf1e6565cfdf58d1357
Homepage: https://cran.r-project.org/package=sonify
Description: CRAN Package 'sonify' (Data Sonification - Turning Data into Sound)
 Sonification (or audification) is the process of representing data by sounds
 in the audible range. This package provides the R function sonify() that
 transforms univariate data, sampled at regular or irregular intervals, into
 a continuous sound with time-varying frequency. The ups and downs in
 frequency represent the ups and downs in the data. Sonify provides a
 substitute for R's plot function to simplify data analysis for the visually
 impaired.

Package: r-cran-sono
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-desctools, r-cran-ggplot2, r-cran-rdpack, r-cran-rje
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sono_1.2-1.ca2004.1_all.deb
Size: 170588
MD5sum: b2d4be1fda1433a907a6f40bab0b0934
SHA1: 7e628e223f07b6bf268bae05fbddd30795aa3c19
SHA256: 83eb417f874b2131569c075bac2dcea0a0102a93e59e8f20a295b0ea823e158f
SHA512: 7d4a59e5cd3f5a8871177a2bcd01144b58c93ec99bbfab664fa9fdf823abc5030db88d78fd85762ae40e08d7d6a8076e0a0c6b71666bd0a3e68b31097ca2dee0
Homepage: https://cran.r-project.org/package=SONO
Description: CRAN Package 'SONO' (Scores of Nominal Outlyingness (SONO))
 Computes scores of outlyingness for data sets consisting of nominal
 variables and includes various evaluation metrics for assessing performance
 of outlier identification algorithms producing scores of outlyingness. The
 scores of nominal outlyingness are computed based on the framework of Costa
 and Papatsouma (2025) <doi:10.48550/arXiv.2408.07463>.

Package: r-cran-sooty
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1364
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arrow, r-cran-dplyr, r-cran-s7, r-cran-tibble
Suggests: r-cran-curl, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sooty_0.5.0-1.ca2004.1_all.deb
Size: 880600
MD5sum: 52ffbb5c620232a8ea21eeec7465c5da
SHA1: 8539e138d93fd1c81ba15f6f30d6eb30b597666b
SHA256: 4e81fa5dc5596a42b3a45357930a69aad1435796cd9eca3eba7a5d2ba0e632e0
SHA512: 8a60ee9e218b5dcd5ba4e4709f3cb210f4302e20d3cdfa4c1eadac4ddc7e57d195f8f68ad421c5a9b595ddd93144709cecf9def6f54698d70b53887d48066ef8
Homepage: https://cran.r-project.org/package=sooty
Description: CRAN Package 'sooty' (Data Source Catalogues Online for Southern Ocean EcosystemResearch)
 Obtains lists of files of remote sensing collections for Southern Ocean
 surface properties. Commonly used data sources of sea surface temperature,
 sea ice concentration, and altimetry products such as sea surface height and
 sea surface currents are cached in object storage on the Pawsey
 Supercomputing Research Centre facility. Patterns of working to retrieve
 data from these object storage catalogues are described. The catalogues
 include complete collections of datasets Reynolds et al. (2008) "NOAA
 Optimum Interpolation Sea Surface Temperature (OISST) Analysis, Version 2.1"
 <doi:10.7289/V5SQ8XB5>, Spreen et al. (2008) "Artist Advanced Microwave
 Scanning Radiometer for Earth Observing System (AMSR-E) sea ice
 concentration" <doi:10.1029/2005JC003384>. In future releases helpers will
 be added to identify particular data collections and target specific dates
 for earth observation data for reading, as well as helpers to retrieve data
 set citation and provenance details.  This work was supported by resources
 provided by the Pawsey Supercomputing Research Centre with funding from the
 Australian Government and the Government of Western Australia.  This
 software was developed by the Integrated Digital East Antarctica program of
 the Australian Antarctic Division.

Package: r-cran-sop
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Suggests: r-cran-spats
Filename: pool/dists/focal/main/r-cran-sop_1.0-1-1.ca2004.1_all.deb
Size: 172232
MD5sum: b28624a5272636adff543e98cb593320
SHA1: 36efa091debed66352bbbe1d82bed902d7ff8401
SHA256: 40886f7e74840f9c897a8b8c7b32075e5e8a8db29e6831d9d8305f5f010aeebd
SHA512: b47e29eb3d516499a6fbf74e5f7befd1f5fb2b4fcdc3a84bace26bf89d4ecb2acb34aaa7e7e239410ff46843551d29d45de33d8eb36c062fafccaea003b15401
Homepage: https://cran.r-project.org/package=SOP
Description: CRAN Package 'SOP' (Generalised Additive P-Spline Regression Models Estimation)
 Generalised additive P-spline regression models estimation using the
 separation of overlapping precision matrices (SOP) method. Estimation is
 based on the equivalence between P-splines and linear mixed models, and
 variance/smoothing parameters are estimated based on restricted maximum
 likelihood (REML). The package enables users to estimate P-spline models
 with overlapping penalties. Based on the work described in Rodriguez-Alvarez
 et al. (2015) <doi:10.1007/s11222-014-9464-2>; Rodriguez-Alvarez et al.
 (2019) <doi:10.1007/s11222-018-9818-2>, and Eilers and Marx (1996)
 <doi:10.1214/ss/1038425655>.

Package: r-cran-sopc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-elasticnet, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sopc_0.1.0-1.ca2004.1_all.deb
Size: 172424
MD5sum: 09d465999da61588416be6fa989407ed
SHA1: e627157228b7fc7def305c078edb5a5ad512cf18
SHA256: 902d4a90a12b50cb6411306970b91763746426d2837d0d3f430d012d448a232c
SHA512: fa5b61dc4ee0d0ef8f3fc5af012446936225b2ae54be19884699899b7d88ec9eeb66af6c9ad4a38025971796052fdaa94fad43c70d64007f035c751614c6bf7b
Homepage: https://cran.r-project.org/package=SOPC
Description: CRAN Package 'SOPC' (The Sparse Online Principal Component Estimation Algorithm)
 The sparse online principal component can not only process the online data
 set, but also obtain a sparse solution of the online data set. The
 philosophy of the package is described in Guo G. (2022)
 <doi:10.1007/s00180-022-01270-z>.

Package: r-cran-sopie
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-circular, r-cran-adgoftest
Filename: pool/dists/focal/main/r-cran-sopie_1.6-1.ca2004.1_all.deb
Size: 363052
MD5sum: cc44724080aa1f2e482f2cccaa26e9cb
SHA1: 97a3bc15c5a2ec3457e4855ddf1fe45f31b8e070
SHA256: 9deb8d78281e0c93aa2195c8489188b3006d860efc917870dbb4419eb9354f1c
SHA512: 7a6b72f859dd5855b09d942a345114d5e4d213fad6032d0864e7e37e851dcc8cd046f641b820ffe55d9129e56efba5dc891dd9b25e6cf8c65cd96eae03c66850
Homepage: https://cran.r-project.org/package=SOPIE
Description: CRAN Package 'SOPIE' (Non-Parametric Estimation of the Off-Pulse Interval of a Pulsar)
 Provides functions to non-parametrically estimate the off-pulse interval of
 a source function originating from a pulsar. The technique is based on a
 sequential application of P-values obtained from goodness-of-fit tests for
 the uniform distribution, such as the Kolmogorov-Smirnov, Cramer-von Mises,
 Anderson-Darling and Rayleigh goodness-of-fit tests.

Package: r-cran-soptdmaea
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-soptdmaea_1.0.1-1.ca2004.1_all.deb
Size: 109400
MD5sum: 61fb12d0729cc9f20ad137f48f62817a
SHA1: e7e1f5148573155d5a170eb9059ea258206809d5
SHA256: 94ca21b6b26339d7e47948895772598d700f49e0d6a964a37a2dffa8ee150bca
SHA512: 1981b05bae816757010c10f0d56c9f1703e6053113ed873c705564a66abf5783bfaee8e68842a91efb7f14daa75728663abcc5d1dcbcf7103e0fa8b741d0bfbd
Homepage: https://cran.r-project.org/package=soptdmaeA
Description: CRAN Package 'soptdmaeA' (Sequential Optimal Designs for Two-Colour cDNA MicroarrayExperiments)
 Computes sequential A-, MV-, D- and E-optimal or near-optimal block and
 row-column designs for two-colour cDNA microarray experiments using the
 linear fixed effects and mixed effects models where the interest is in a
 comparison of all possible elementary treatment contrasts. The package also
 provides an optional method of using the graphical user interface (GUI) R
 package 'tcltk' to ensure that it is user friendly.

Package: r-cran-soql
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-soql_0.1.1-1.ca2004.1_all.deb
Size: 33228
MD5sum: b5937e3e2f8a3d4c3e513098f24dd74b
SHA1: c840aea72ff1da025b17271feb3e8ca7700451c7
SHA256: 6b04cb6fd78f78a1c70c01b20a64e79186c032fab078b3c00bd0473a4f176f24
SHA512: b27c1e4b9dae1e0ead03c68894a9d6bd53bc382b6ec481636d2455dcf4a60eb9cdf26578c00e28d846831a95a31b2f2f1d0e9870ddb0282356e946a856f8dbf5
Homepage: https://cran.r-project.org/package=soql
Description: CRAN Package 'soql' (Helps Make Socrata Open Data API Calls)
 Used to construct the URLs and parameters of 'Socrata Open Data API'
 <https://dev.socrata.com> calls, using the API's 'SoQL' parameter format.
 Has method-chained and sensical syntax. Plays well with pipes.

Package: r-cran-sor
Architecture: all
Version: 0.23.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-sor_0.23.1-1.ca2004.1_all.deb
Size: 145608
MD5sum: 14c3e9f8d6378c0abaa36b27dac92693
SHA1: f22e7b8d26bbf0e176db796f16630ac123b2c3b0
SHA256: 1b9f5cfc4c4cb05b3ad1cdd52f9650d6a4578d835ebd81f9f247c1c70011dcd8
SHA512: 184a76a0db5f4fa54b40bea25ddb38d775f09f99e5f471a9b0cd2a750b5b0d480d3cc623562cefc5e4566ca217ba7adc974b9a02ad9856c622e6508f2cd68274
Homepage: https://cran.r-project.org/package=SOR
Description: CRAN Package 'SOR' (Estimation using Sequential Offsetted Regression)
 Estimation for longitudinal data following outcome dependent sampling using
 the sequential offsetted regression technique.  Includes support for binary,
 count, and continuous data.  The first regression is a logistic regression,
 which uses a known ratio (the probability of being sampled given that the
 subject/observation was referred divided by the probability of being sampled
 given that the subject/observation was no referred) as an offset to estimate
 the probability of being referred given outcome and covariates.  The second
 regression uses this estimated probability to calculate the mean population
 response given covariates.

Package: r-cran-sorocs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mcmcpack, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sorocs_0.1.0-1.ca2004.1_all.deb
Size: 71680
MD5sum: 0784195a7bbb45257bc24fd8d2f0082b
SHA1: 5de1671ff5dc22f1d9dbf53c167da6bccfd0c21d
SHA256: 9bdac865f738bdce0a7b20081627986968e24653ef8d1d2ce441513439f3874b
SHA512: ecd151ba32a02abcec77c154d372ff87ada977c0777ca83d8130ec722983eba17a8f7a190cbe935cee4b3d858e695ace97b645d9534b7ddd6f8c3faee9d65ee2
Homepage: https://cran.r-project.org/package=sorocs
Description: CRAN Package 'sorocs' (A Bayesian Semiparametric Approach to Correlated ROC Surfaces)
 A Bayesian semiparametric Dirichlet process mixtures to estimate correlated
 receiver operating characteristic (ROC) surfaces and the associated volume
 under the surface (VUS) with stochastic order constraints. The reference
 paper is:Zhen Chen, Beom Seuk Hwang, (2018) "A Bayesian semiparametric
 approach to correlated ROC surfaces with stochastic order constraints".
 Biometrics, 75, 539-550. <doi:10.1111/biom.12997>.

Package: r-cran-sorptionanalysis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sorptionanalysis_0.1.0-1.ca2004.1_all.deb
Size: 23200
MD5sum: 62acbe19d380a81fac4088db31620a6b
SHA1: 9ee0d7d00cd1358b17c4e4a7ad59833b4c96408e
SHA256: 66de9a5c16382b02176fcaab500499de30e4ad0c0bf0a64f70258064ac64290d
SHA512: 21d31fd3cde435f727382c8688d414adcbb58acedba843b275c5dbd4d4fd2d3ccfbf3cdea2598ad2699bc49ee638cab33e42969dd9032c62cf6b84cb33c974ac
Homepage: https://cran.r-project.org/package=SorptionAnalysis
Description: CRAN Package 'SorptionAnalysis' (Static Adsorption Experiment Plotting and Analysis)
 Provides tools to efficiently analyze and visualize laboratory data from
 aqueous static adsorption experiments. The package provides functions to
 plot Langmuir, Freundlich, and Temkin isotherms and functions to determine
 the statistical conformity of data points to the Langmuir, Freundlich, and
 Temkin adsorption models through statistical characterization of the
 isothermic least squares regressions lines. Scientific Reference: Dada, A.O,
 Olalekan, A., Olatunya, A. (2012) <doi:10.9790/5736-0313845>.

Package: r-cran-sortable
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1159
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-learnr, r-cran-shiny, r-cran-assertthat, r-cran-jsonlite, r-cran-ellipsis, r-cran-rlang
Suggests: r-cran-base64enc, r-cran-knitr, r-cran-testthat, r-cran-withr, r-cran-rmarkdown, r-cran-magrittr, r-cran-webshot, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sortable_0.5.0-1.ca2004.1_all.deb
Size: 392884
MD5sum: 532edb288952c4247373fe8fdee3d314
SHA1: 0706c4ef44972228d40202aeda0af23bcf81891b
SHA256: 70a6ca671aec5544c65d23f2b21a523f2fc13e7e988ec879cdb38bb19a91c19d
SHA512: 051aca867091fb5dd15c633847340d578bd443770e4d0632e3c6ca9cea70d4129f8b5e4f44df7f804cb92eb6a324402f01a2fec5c9d11c27255a0dabb97a78c6
Homepage: https://cran.r-project.org/package=sortable
Description: CRAN Package 'sortable' (Drag-and-Drop in 'shiny' Apps with 'SortableJS')
 Enables drag-and-drop behaviour in Shiny apps, by exposing the functionality
 of the 'SortableJS' <https://sortablejs.github.io/Sortable/> JavaScript
 library as an 'htmlwidget'.  You can use this in Shiny apps and widgets,
 'learnr' tutorials as well as R Markdown. In addition, provides a custom
 'learnr' question type - 'question_rank()' - that allows ranking questions
 with drag-and-drop.

Package: r-cran-sortedeffects
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot, r-cran-hmisc, r-cran-pbapply, r-cran-quantreg, r-cran-sparsem
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sortedeffects_1.7.0-1.ca2004.1_all.deb
Size: 815804
MD5sum: 3925a9c13952b3bf6c1538a42b8e6df0
SHA1: a699fb4f629a19a00cf4443085765352051d3ebf
SHA256: 169a60f734895ef9da508e3a2563e883d673de6672cb29e1be30d22c185c4417
SHA512: 7e7492683becfa8a3852261f4ffba4ce94208a3795ff8fb7be67af2a0fce3bf3b08306cc8d666dd49f5768ba9803289023591e8b201b0d8127e7fc1317abd6ea
Homepage: https://cran.r-project.org/package=SortedEffects
Description: CRAN Package 'SortedEffects' (Estimation and Inference Methods for Sorted Causal Effects andClassification Analysis)
 Implements the estimation and inference methods for sorted causal effects
 and classification analysis as in Chernozhukov, Fernandez-Val and Luo (2018)
 <doi:10.3982/ECTA14415>.

Package: r-cran-sorvi
Architecture: all
Version: 0.8.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1425
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dlstats, r-cran-dplyr, r-cran-ggplot2, r-cran-gh, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-xml2, r-cran-lubridate, r-cran-checkmate, r-cran-magrittr, r-cran-sf
Suggests: r-cran-gridextra, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-cairo
Filename: pool/dists/focal/main/r-cran-sorvi_0.8.21-1.ca2004.1_all.deb
Size: 1126792
MD5sum: f0a001862c6fcf8bcd2e8a5a7830d17f
SHA1: 1e027fa08bb51def7436835c63ee12145a107d4c
SHA256: aad097918dd2cd85cf3228d94a551de15ec8e455481c4f2d65d28299f2616831
SHA512: d24a5106b430b26366e3d19adf1d39c458e24872db429204e9819b3c091f59ced807a02a903895d21b63b7025b818256198c6908fb46649489feb889382b9070
Homepage: https://cran.r-project.org/package=sorvi
Description: CRAN Package 'sorvi' (Functions for Finnish Open Data)
 Misc support functions for rOpenGov and open data downloads.

Package: r-cran-sos
Architecture: all
Version: 2.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 281
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brew
Suggests: r-cran-rodbc, r-cran-writexls, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sos_2.1-8-1.ca2004.1_all.deb
Size: 168560
MD5sum: ac23bed94c1f5dcab6f2a5a02bb5e299
SHA1: f522902a0ffa17427cce798183cdc1897806e9b9
SHA256: 3036194bf2d017d4545d51ef3c477ae172c44ece47dcb045cc8a0bed04996b24
SHA512: 9e92c3136a792da038cdbb6232a844ff856597f90d83ea6605d92a6420ae60a2bef952a4fd4e251b4d46fb03eb8f4ccff3dd9bfbfd1a8dd19bf1fc88f1d07267
Homepage: https://cran.r-project.org/package=sos
Description: CRAN Package 'sos' (Search Contributed R Packages, Sort by Package)
 Search contributed R packages, sort by package.

Package: r-cran-sotkanet
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-lubridate, r-cran-refmanager, r-cran-digest, r-cran-frictionless, r-cran-httr2, r-cran-magrittr
Suggests: r-cran-remotes, r-cran-ggplot2, r-cran-knitr, r-cran-testthat, r-cran-roxygen2, r-cran-markdown, r-cran-kableextra, r-cran-rmarkdown, r-cran-covr, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-sotkanet_0.10.1-1.ca2004.1_all.deb
Size: 147956
MD5sum: 3e5f058230dd656421902756b1ed88ff
SHA1: 576c4a8b726d4876ed4dca5416f58adf1db8b947
SHA256: 13e6193d806445b12cc367f5ff39353f2c3df445e8755b74edf34a52bb7de83b
SHA512: f20bd0537b3527ab22589fa378e1fcc19f5903317d5838b0f80e422e71e2dd9cd7f565202f59c70b2a66b7580e8df722d5fdc32430226bf4774058dbb1f53864
Homepage: https://cran.r-project.org/package=sotkanet
Description: CRAN Package 'sotkanet' (Sotkanet Open Data Access and Analysis)
 Access statistical information on welfare and health in Finland from the
 Sotkanet open data portal <https://sotkanet.fi/sotkanet/fi/index>.

Package: r-cran-sotu
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3962
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sotu_1.0.4-1.ca2004.1_all.deb
Size: 4021864
MD5sum: 9d461aac6ba0d90b62ba2e80131ac908
SHA1: 098431086cfdae17150cbf958b2e3a1fcf036e72
SHA256: 958c6f96388dfa26d69556a368d3ab769db921f72e05c1fe916028bd98d20181
SHA512: 9d1e471d57ae908d989d72d3371b991850aa32c543c5f1c453a809668ca2fcd069fca8e6af3d5181d998afc5c9cd7d595e28d00492b712091e6e3d9dfa18eef2
Homepage: https://cran.r-project.org/package=sotu
Description: CRAN Package 'sotu' (United States Presidential State of the Union Addresses)
 The President of the United States is constitutionally obligated to provide
 a report known as the 'State of the Union'. The report summarizes the
 current challenges facing the country and the president's upcoming
 legislative agenda. While historically the State of the Union was often a
 written document, in recent decades it has always taken the form of an oral
 address to a joint session of the United States Congress.  This package
 provides the raw text from every such address with the intention of being
 used for meaningful examples of text analysis in R. The corpus is well
 suited to the task as it is historically important, includes material
 intended to be read and material intended to be spoken, and it falls in the
 public domain. As the corpus spans over two centuries it is also a good test
 of how well various methods hold up to the idiosyncrasies of historical
 texts. Associated data about each address, such as the year, president,
 party, and format, are also included.

Package: r-cran-sound
Architecture: all
Version: 1.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sound_1.4.6-1.ca2004.1_all.deb
Size: 147600
MD5sum: efa1b6bd6d27087270a18d58a0b312ea
SHA1: 59f426d8f2e9a933ec43f13b5e0d4b10ff1dc7dd
SHA256: 4c279c71cf24a1853353d84e67fb3dd5a0f1f9b9adbf444751d9ce7a4c201eee
SHA512: cb69f591e10c773f3ae84a4b8b33573cda25411b2b64be9f0dda6164ee508118e1038bb0cbf7806ae194a736179ef3931f31c4a68b51afa1061f330dfd791690
Homepage: https://cran.r-project.org/package=sound
Description: CRAN Package 'sound' (A Sound Interface for R)
 Basic functions for dealing with wav files and sound samples.

Package: r-cran-soundclass
Architecture: all
Version: 0.0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-shinybs, r-cran-htmltools, r-cran-seewave, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-rsqlite, r-cran-signal, r-cran-tuner, r-cran-zoo, r-cran-magrittr, r-cran-shinyfiles, r-cran-shiny, r-cran-generics, r-cran-keras, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-soundclass_0.0.9.2-1.ca2004.1_all.deb
Size: 133196
MD5sum: 5c39bc3c11d65acba5e8d585731c636e
SHA1: 83be52dbda84937c6f4c0366cd06d77a5fe919d7
SHA256: 1350ca2c581a34d05a2a81555e23e46217eee560afcd220c9e4fc110381a7637
SHA512: 19cfc571e323c59b123f30f72d3008f45ea422476a779c6590eed7cbe3d6309ca7c7d6afb1db0ee1734bcc6722529fbb5901f485f00f0f004d2704b2369bf066
Homepage: https://cran.r-project.org/package=soundClass
Description: CRAN Package 'soundClass' (Sound Classification Using Convolutional Neural Networks)
 Provides an all-in-one solution for automatic classification of sound events
 using convolutional neural networks (CNN). The main purpose is to provide a
 sound classification workflow, from annotating sound events in recordings to
 training and automating model usage in real-life situations. Using the
 package requires a pre-compiled collection of recordings with sound events
 of interest and it can be employed for: 1) Annotation: create a database of
 annotated recordings, 2) Training: prepare train data from annotated
 recordings and fit CNN models, 3) Classification: automate the use of the
 fitted model for classifying new recordings. By using automatic feature
 selection and a user-friendly GUI for managing data and training/deploying
 models, this package is intended to be used by a broad audience as it does
 not require specific expertise in statistics, programming or sound analysis.
 Please refer to the vignette for further information.  Gibb, R., et al.
 (2019) <doi:10.1111/2041-210X.13101> Mac Aodha, O., et al. (2018)
 <doi:10.1371/journal.pcbi.1005995> Stowell, D., et al. (2019)
 <doi:10.1111/2041-210X.13103> LeCun, Y., et al. (2012)
 <doi:10.1007/978-3-642-35289-8_3>.

Package: r-cran-soundcorrs
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1569
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjqui
Filename: pool/dists/focal/main/r-cran-soundcorrs_0.4.0-1.ca2004.1_all.deb
Size: 624272
MD5sum: d5188dc63a9afe43ad24ace158fc00ce
SHA1: 8b1f454efc6ceeb0165541b3b207f5bbd4ce6476
SHA256: 38bb4b3bcd6e923df835b0b528ff978d4256f88f5f4a5e94bb58c33f9a43da86
SHA512: 8d98b33a2f605d0c889ec9574b8ff5b40577583b5d7d49a3c684251f3e59b50c68b5dde6c9f5807979397eec25086c0bf6d1d36caba05da899ec5e576f6018b1
Homepage: https://cran.r-project.org/package=soundcorrs
Description: CRAN Package 'soundcorrs' (Semi-Automatic Analysis of Sound Correspondences)
 A set of tools that can be used in computer-aided analysis of sound
 correspondences between languages, plus several helper functions.  Analytic
 functions range from purely qualitative analysis, through statistic methods
 yielding qualitative results, to an entirely quantitative approach.

Package: r-cran-soundecology
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-oce, r-cran-ineq, r-cran-vegan, r-cran-tuner, r-cran-seewave
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-soundecology_1.3.3-1.ca2004.1_all.deb
Size: 824836
MD5sum: 2a3442b11d1f15d6ee9d3525eef2b983
SHA1: 6f7bf50575ea340cef850d8d5099b7dec9208491
SHA256: 840a896dccc2f1098ef9b03a7bd6c1af0d4736fadb6ba2724fa8ed5bde3a80d3
SHA512: b3d88b9bea46d10068dbe30c97c9c4e593ba451ff13848078500440a8b9de590f985c7d0db6fc5bf3ca58d3d0e710ed7176e87ae870b23ebb21b8e862b7c0b76
Homepage: https://cran.r-project.org/package=soundecology
Description: CRAN Package 'soundecology' (Soundscape Ecology)
 Functions to calculate indices for soundscape ecology and other ecology
 research that uses audio recordings.

Package: r-cran-soundgen
Architecture: all
Version: 2.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2501
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shinybs, r-cran-tuner, r-cran-seewave, r-cran-zoo, r-cran-mvtnorm, r-cran-dtw, r-cran-phontools, r-cran-signal, r-cran-shiny, r-cran-shinyjs, r-cran-foreach, r-cran-doparallel, r-cran-nonlineartseries, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-soundgen_2.7.2-1.ca2004.1_all.deb
Size: 1920132
MD5sum: 91bd03a24c21756fd036ab277d02ab08
SHA1: a1eda3821a4541978edc26501ac2e7c6761ba128
SHA256: bf63ce730c7b3ca22c2ab168f3801756c8f22722a7582ba441687ece03470afb
SHA512: 9ed8419ed595e544dd4eb952dd8e3fe760d59f22afa90b6cf0ef9274d21c67a8603d2879d3be4e8b0a9a1dd0e2e21c1912f50966098d301f8838486928aa2386
Homepage: https://cran.r-project.org/package=soundgen
Description: CRAN Package 'soundgen' (Sound Synthesis and Acoustic Analysis)
 Performs parametric synthesis of sounds with harmonic and noise components
 such as animal vocalizations or human voice. Also offers tools for audio
 manipulation and acoustic analysis, including pitch tracking, spectral
 analysis, audio segmentation, pitch and formant shifting, etc.  Includes
 four interactive web apps for synthesizing and annotating audio, manually
 correcting pitch contours, and measuring formant frequencies.  Reference:
 Anikin (2019) <doi:10.3758/s13428-018-1095-7>.

Package: r-cran-soundshape
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1241
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-geomorph, r-cran-plot3d, r-cran-reshape2, r-cran-seewave, r-cran-tuner, r-cran-stringr
Suggests: r-cran-vegan, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-soundshape_1.3.2-1.ca2004.1_all.deb
Size: 1037324
MD5sum: 923b470055f040768025923a6bad4fa1
SHA1: 7207cf140be03ad7b1647d490a1102a43e5277ef
SHA256: 26005e4e45df87636d8272e4e3e66c43a0c60fbe03ddcc2a64fbfa99a28ded7c
SHA512: bd4b7fc53ed242eab6a4d64391108ba1ec070a7dad46f1b876792357107d2076c009c8a8b51bb70df7143670b6f2c34a2c71fa39d0bda6de70b6b1c7bfa69d69
Homepage: https://cran.r-project.org/package=SoundShape
Description: CRAN Package 'SoundShape' (Sound Waves Onto Morphometric Data)
 Implement a promising, and yet little explored protocol for bioacoustical
 analysis, the eigensound method by MacLeod, Krieger and Jones (2013)
 <doi:10.4404/hystrix-24.1-6299>. Eigensound is a multidisciplinary method
 focused on the direct comparison between stereotyped sounds from different
 species. 'SoundShape', in turn, provide the tools required for anyone to go
 from sound waves to Principal Components Analysis, using tools extracted
 from traditional bioacoustics (i.e. 'tuneR' and 'seewave' packages),
 geometric morphometrics (i.e. 'geomorph' package) and multivariate analysis
 (e.g. 'stats' package). For more information, please see Rocha and Romano
 (2021) and check 'SoundShape' repository on GitHub for news and updates
 <https://github.com/p-rocha/SoundShape>.

Package: r-cran-soup
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tensor
Suggests: r-cran-flip
Filename: pool/dists/focal/main/r-cran-soup_1.1-1.ca2004.1_all.deb
Size: 273808
MD5sum: d24a5f142ef79ef2b8b346ef7421e947
SHA1: 669a1e6660d781336c5203176b66b32a4bdd66ee
SHA256: 025c2799fb9aeeea51d63c785b336a7461b8b2ad24f08f1ecdab429f72555ae9
SHA512: 3621ef7861f5c224ec8c7e971cc1f00c17801b8a933342f9cad4c827ad95b93340d1c22b46a321ce7179c0958e996e379fe14d42236182f62474f98cd57e4254
Homepage: https://cran.r-project.org/package=SOUP
Description: CRAN Package 'SOUP' (Stochastic Ordering Using Permutations (and PairwiseComparisons))
 Construct a ranking of a set of treatments/groups by gathering together
 information coming from several response variables.  It can be used with
 both balanced and unbalanced experiments (with almost all test statistics)
 as well as in presence of either continuous covariates or a stratifying
 (categorical) variable.

Package: r-cran-soupx
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5825
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-matrix, r-cran-seurat
Suggests: r-cran-knitr, r-cran-rstan, r-bioc-dropletutils, r-cran-rmarkdown, r-cran-formatr
Filename: pool/dists/focal/main/r-cran-soupx_1.6.2-1.ca2004.1_all.deb
Size: 5060604
MD5sum: e23fc6b9aa59e738b332e3673623ae3b
SHA1: f5235ccd075de08585baee6b1d6a313f0e70a5d1
SHA256: af0bb21dad43c3c8633274b741c902d55a728f793690598db82b7c246949bb88
SHA512: 9433e404170ff08e134b2628c9e2f6db8a9440e4a81af4ffb19ffa84bb3af7563da3104e2b8fa605a9a24d195ff3216520c5ed04cfca5838d1b41207b81b693c
Homepage: https://cran.r-project.org/package=SoupX
Description: CRAN Package 'SoupX' (Single Cell mRNA Soup eXterminator)
 Quantify, profile and remove ambient mRNA contamination (the "soup") from
 droplet based single cell RNA-seq experiments.  Implements the method
 described in Young et al. (2018) <doi:10.1101/303727>.

Package: r-cran-sourceset
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2221
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-grbase, r-cran-progress, r-cran-reshape2, r-bioc-graph, r-cran-igraph, r-cran-gtools, r-cran-plyr, r-cran-scales
Suggests: r-bioc-annotationdbi, r-cran-networkd3, r-cran-ggplot2, r-bioc-rgraphviz, r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-bioc-biobase, r-bioc-graphite, r-bioc-hgu95av2.db, r-bioc-all, r-cran-mvtnorm, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-sourceset_0.1.5-1.ca2004.1_all.deb
Size: 1289744
MD5sum: b2a846268246d42f77df5846f8bdd150
SHA1: f4b6413ee9c35de8d5ecf2ea48e77eeb9c58226d
SHA256: cd05be319aa08eb2fff176cd04a73022ab28505c9323bed90173bf083ec2f936
SHA512: 40902d8e8dabfd23005e6e8c50f7ef65e6551451cb771ebd4f401ea54f90df08245a4df5a053d37a1799b77d674d065e39c86ed78ffda61c3408b4f266341542
Homepage: https://cran.r-project.org/package=SourceSet
Description: CRAN Package 'SourceSet' (A Graphical Model Approach to Identify Primary Genes inPerturbed Biological Pathways)
 The algorithm pursues the identification of the set of variables driving the
 differences in two different experimental conditions (i.e., the primary
 genes) within a graphical model context. It uses the idea of simultaneously
 looking for the differences between two multivariate normal distributions in
 all marginal and conditional distributions associated with a decomposable
 graph, which represents the pathway under exam. The implementation
 accommodates genomics specific issues (low sample size and multiple testing
 issues) and provides a number of functions offering numerical and visual
 summaries to help the user interpret the obtained results. In order to use
 the (optional) 'Cytoscape' functionalities, the suggested 'r2cytoscape'
 package must be installed from the 'GitHub' repository
 ('devtools::install_github('cytoscape/r2cytoscape')'). More details in
 Salviato et al., (2020) <doi:10.1371/journal.pcbi.1007357> and Djordjilovic
 et al., (2022) <doi:10.1016/j.jmva.2022.104973>.

Package: r-cran-sourcoise
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fs, r-cran-qs2, r-cran-cli, r-cran-purrr, r-cran-digest, r-cran-dplyr, r-cran-lubridate, r-cran-tibble, r-cran-jsonlite, r-cran-lobstr, r-cran-stringr, r-cran-glue, r-cran-rprojroot, r-cran-rlang, r-cran-scales, r-cran-logger
Suggests: r-cran-knitr, r-cran-insee, r-cran-memoise, r-cran-quarto, r-cran-bench, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sourcoise_0.6.2-1.ca2004.1_all.deb
Size: 150352
MD5sum: 7342101a7ee855cb26cf08b58da6cdae
SHA1: 0fad34700ab1b2bf4f21983e978cdcb70f57c263
SHA256: a496c4662f3e39a7ba67509a84ed3871407f91e471e454444174880454b4496e
SHA512: 1b800acf100412d96288c8fc3171158a249b510d6d1e573a4359c5963071f784e2e613cc17084a83cd71c144615520ba8ef85babf832eabcad61853a96d66bc6
Homepage: https://cran.r-project.org/package=sourcoise
Description: CRAN Package 'sourcoise' (Source a Script and Cache)
 Provides a function that behaves nearly as base::source() but implements a
 caching mechanism on disk, project based.  It allows to quasi source() R
 scripts that gather data but can fail or consume to much time to respond
 even if nothing new is expected.  It comes with tools to check and execute
 on demand or when cache is invalid the script.

Package: r-cran-southparkrshiny
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4676
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-box, r-cran-bslib, r-cran-config, r-cran-ggplot2, r-cran-ggpubr, r-cran-golem, r-cran-kableextra, r-cran-knitr, r-cran-shiny, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-southparkrshiny_1.0.0-1.ca2004.1_all.deb
Size: 3668736
MD5sum: 85ad9cdb3f48442aa6e6866adb1fbce9
SHA1: a4de09c4c3501ff098b990b418489487e2bddb21
SHA256: 9b6bfe779a6dc02b2fda1144cc5b78c084037422ad0ab7a9905f23f12e133fd4
SHA512: b1e6febca53593680cf36b2925fda15055452cd3f9614b8c28a305376a14d5fefdcc0e6ae5ead139cecb274e7804bd49d2cd5523c79e067df60a65df6201c5ab
Homepage: https://cran.r-project.org/package=SouthParkRshiny
Description: CRAN Package 'SouthParkRshiny' (Data and 'Shiny' Application for the Show 'SouthPark')
 Ratings, votes, swear words and sentiments are analysed for the show
 'SouthPark' through a 'Shiny' application after web scraping from 'IMDB' and
 the website <https://southpark.fandom.com/wiki/South_Park_Archives>.

Package: r-cran-sovereign
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-future, r-cran-furrr, r-cran-ggplot2, r-cran-gridextra, r-cran-lmtest, r-cran-lubridate, r-cran-magrittr, r-cran-mclust, r-cran-purrr, r-cran-randomforest, r-cran-sandwich, r-cran-stringr, r-cran-strucchange, r-cran-tidyr, r-cran-xts, r-cran-zoo
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-quantmod, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sovereign_1.2.1-1.ca2004.1_all.deb
Size: 333944
MD5sum: f385346ac5c8997f646bb5fa0e42c26e
SHA1: 8a92a6f845d7d476b77f387138ca19f543ec6733
SHA256: 7c438e9bc008b9007136a971fb895fcdddbdc191e6f9dd54bc6bf950559340a6
SHA512: 700e4c10d196e4b46bd5c070a00b388e012281da602d8ef1229ee70b60d5d9ba0d418fd98752f98057b81f00c292c88539d7b3eb6470c704fa80fa10a590af94
Homepage: https://cran.r-project.org/package=sovereign
Description: CRAN Package 'sovereign' (State-Dependent Empirical Analysis)
 A set of tools for state-dependent empirical analysis through both VAR- and
 local projection-based state-dependent forecasts, impulse response
 functions, historical decompositions, and forecast error variance
 decompositions.

Package: r-cran-soyurt
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3977
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-soyurt_1.0.0-1.ca2004.1_all.deb
Size: 4035352
MD5sum: 4de6d7eeef7098b7db6f7d36bbc53374
SHA1: d2310092cce8b21709ea6a3e3fcfaae6b4ff7a18
SHA256: e43c4c2901f7b662d387e5a5e6d7a19cb2a37ec10b156b3c58241e9193b47aab
SHA512: 2d095ca3a209c9b57cef0ebb5cf8a7f63ecb6d99ec03fe25753229c199cff4644fe25193763ff6276434d2579087b0af4b03d2f921441a22ae7649fd39789bab
Homepage: https://cran.r-project.org/package=SoyURT
Description: CRAN Package 'SoyURT' (USDA Northern Region Uniform Soybean Tests Dataset)
 Data sets used by 'Krause et al. (2022)' <doi:10.1101/2022.04.11.487885>. It
 comprises phenotypic records obtained from the USDA Northern Region Uniform
 Soybean Tests from 1989 to 2019 for maturity groups II and III. In addition,
 soil and weather variables are provided for the 591 observed environments
 (combination of locations and years).

Package: r-cran-sp2000
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-pbmcapply, r-cran-purrr, r-cran-rlist, r-cran-xml, r-cran-xml2, r-cran-dt, r-cran-urltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sp2000_0.2.0-1.ca2004.1_all.deb
Size: 97216
MD5sum: 8d10120fb45e7ea4645c5c12ec24825f
SHA1: d27feac2a8ce5b577bb4ad9a1ffe04320f33ce06
SHA256: d6635cff8e4e1dd39b7fb8de17a58234b8a3c2f7e0b2e41dc51c681ca43a1bec
SHA512: 7d0fc7d2aa053bb08c213c2d2c6fd8f0a4aa67633796889d101c2a94fa2fb1f0886b927aa184e674a2bd24da03154b8cb77e59019a319dcdb79f4c3b0f5a25f6
Homepage: https://cran.r-project.org/package=SP2000
Description: CRAN Package 'SP2000' (Catalogue of Life Toolkit)
 A programmatic interface to <http://sp2000.org.cn>, re-written based on an
 accompanying 'Species 2000' API. Access tables describing catalogue of the
 Chinese known species of animals, plants, fungi, micro-organisms, and more.
 This package also supports access to catalogue of life global
 <http://catalogueoflife.org>, China animal scientific database
 <http://zoology.especies.cn> and catalogue of life Taiwan
 <https://taibnet.sinica.edu.tw/home_eng.php>. The development of 'SP2000'
 package were supported by Biodiversity Survey and Assessment Project of the
 Ministry of Ecology and Environment, China <2019HJ2096001006>,Yunnan
 University's "Double First Class" Project <C176240405> and Yunnan
 University's Research Innovation Fund for Graduate Students <2019227>.

Package: r-cran-sp23design
Architecture: all
Version: 0.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 594
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-survival
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-sp23design_0.9-1-1.ca2004.1_all.deb
Size: 430716
MD5sum: 8b1767400ad4c2b101d7c25bd03da265
SHA1: 1b3a539b52aac4d2f6679800d739a38cdcba7c43
SHA256: 75ae370b726592d494d6521128e38b9d528e090e5b88d035fec299a905c4f14a
SHA512: 51fe24ddcf135ca1658ed9f692a74e533f816a8217c54d0db570b13e57f2f10f3f1162b96bd6b878679b3fa3f313e91f3acf56395f09b92d73e0be531eb55150
Homepage: https://cran.r-project.org/package=sp23design
Description: CRAN Package 'sp23design' (Design and Simulation of Seamless Phase II-III Clinical Trials)
 Provides methods for generating, exploring and executing seamless Phase
 II-III designs of Lai, Lavori and Shih using generalized likelihood ratio
 statistics. Includes pdf and source files that describe the entire R
 implementation with the relevant mathematical details.

Package: r-cran-spaa
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-vegan
Filename: pool/dists/focal/main/r-cran-spaa_0.2.5-1.ca2004.1_all.deb
Size: 89552
MD5sum: 6d9da6a5ba4d43c93f7b8caf394b6433
SHA1: cf4e27c1921de2633f49bcf32c32260da5c1a0ec
SHA256: bd52bcd721f910027192d7f47b3a34d938f3c0a44d126778191c7515c788e3d1
SHA512: 5a849b7c23b9d457c2925d9acae8c9f36f8eca3c0b83797bf2aab76fab5aaf0757ca9dd5b8ed6d2bca462d88a288ac662ce9ed25c7ebef4701c971e33c9b445b
Homepage: https://cran.r-project.org/package=spaa
Description: CRAN Package 'spaa' (SPecies Association Analysis)
 Miscellaneous functions for analysing species association and niche overlap.

Package: r-cran-spacejamr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2976
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crsuggest, r-cran-dplyr, r-cran-ggraph, r-cran-ggplot2, r-cran-igraph, r-cran-magrittr, r-cran-sf, r-cran-spatstat.random, r-cran-spatstat.geom, r-cran-ggthemes
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spacejamr_0.2.1-1.ca2004.1_all.deb
Size: 2556416
MD5sum: 62c3414c43dfe845d76ab2b77c1274d7
SHA1: 3ced1728742cf4df9f629930e177164af04f6d76
SHA256: 4343a9c958c62d65d1c10bae2b22920d727dfb36559508522bccb4e490b69424
SHA512: f768516ae837a4f772391f492d84b8011226b06174f95a473bc923a4f08e90354f00c630e06fe8c21321cb6a64d879d1200327d1e7b90f066df9aceba7edb51c
Homepage: https://cran.r-project.org/package=spacejamr
Description: CRAN Package 'spacejamr' (Simulate Spatial Bernoulli Networks)
 Social network analysis is becoming commonplace in many social science
 disciplines, but access to useful network data, especially among
 marginalized populations, still remains a formidable challenge.  This
 package mitigates that problem by providing tools to simulate spatial
 Bernoulli networks as proposed in Carter T. Butts (2002,
 ISBN:978-0-493-72676-2), "Spatial models of large-scale interpersonal
 networks." Using this package, network analysts can simulate a spatial point
 process or sequence with a given number of nodes inside a geographical
 boundary and estimate the probability of a tie formation between all node
 pairs. When simulating a network, an analyst can choose between five spatial
 interaction functions. The package also enables quick comparison of summary
 statistics for simulated networks and provides simple to use plotting
 methods for its classes that return plots which can be further refined with
 the 'ggplot2' package.

Package: r-cran-spacenet
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-mclust, r-cran-permute, r-cran-rcpptn, r-cran-rfast, r-cran-sna, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-spacenet_1.2-1.ca2004.1_all.deb
Size: 111000
MD5sum: c5e8ac30f6f274059abce77538c3ac74
SHA1: eb14380b05e38a69d0288320414d2bb36ec19621
SHA256: c801b7345c306cca269b9db91c76920e90e3687f6d0103b036901e9d65c5c46a
SHA512: 8cc9bc961cc5ae75118a82f0af8001ab2658d8515caeee9b95033c781add04c6758ff2e79afa4a1d09f6ed9535bdc045908222df150f800803a9f96fd3d1415f
Homepage: https://cran.r-project.org/package=spaceNet
Description: CRAN Package 'spaceNet' (Latent Space Models for Multidimensional Networks)
 Latent space models for multivariate networks (multiplex) estimated via MCMC
 algorithm. See D Angelo et al. (2018) <arXiv:1803.07166> and D Angelo et al.
 (2018) <arXiv:1807.03874>.

Package: r-cran-spacesrgb
Architecture: all
Version: 1.7-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-logger
Suggests: r-cran-spacesxyz, r-cran-rgl, r-cran-microbenchmark, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spacesrgb_1.7-0-1.ca2004.1_all.deb
Size: 419976
MD5sum: d67229519db44f19608bd95f67365aa8
SHA1: aaeaa4dbe41dd3cb0ec3c0e0cb3d6a2922869722
SHA256: d3e2ac390bd7ee873d0b71b362347c404b3d5db7d13f27139519da3b6869a166
SHA512: 693b6a8185a33ab20f5e4491f91f1ddf1c21bd2cbd259072c17ec793809d8a71524571643a5f9729ab8ad26b82034b10b01e9498d8c0db028312877b7e058f6f
Homepage: https://cran.r-project.org/package=spacesRGB
Description: CRAN Package 'spacesRGB' (Standard and User-Defined RGB Color Spaces, with ConversionBetween RGB and CIE XYZ and Lab)
 Standard RGB spaces included are sRGB, 'Adobe' RGB, 'ProPhoto' RGB, BT.709,
 and others.  User-defined RGB spaces are also possible.  There is partial
 support for ACES Color workflows.

Package: r-cran-spacesxyz
Architecture: all
Version: 1.6-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-logger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-spacesxyz_1.6-0-1.ca2004.1_all.deb
Size: 328056
MD5sum: fb967d350da552c30b83c362a403b91a
SHA1: 46e3a227a3ba91f23416dcfe113b07f8c7403f7b
SHA256: 6b0845c80ce213ca3a86d8d4eeac1aff39ef04b897b10cc037ba9cffd1fa35c2
SHA512: a4baa82bf44814ce3c3527c1f9f814e1c46b7a163cc10c11b2f870403b67d54fa04c29ad09a6dccfd3117f910189d49b82ffec47f1aea6d82354b16b453fc1c7
Homepage: https://cran.r-project.org/package=spacesXYZ
Description: CRAN Package 'spacesXYZ' (CIE XYZ and some of Its Derived Color Spaces)
 Functions for converting among CIE XYZ, xyY, Lab, and Luv.  Calculate
 Correlated Color Temperature (CCT) and the Planckian and daylight loci.  The
 XYZs of some standard illuminants and some standard linear chromatic
 adaptation transforms (CATs) are included.  Three standard color difference
 metrics are included, plus the forward direction of the 'CIECAM02' color
 appearance model.

Package: r-cran-spacetime
Architecture: all
Version: 1.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3161
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-sp, r-cran-zoo, r-cran-xts, r-cran-intervals
Suggests: r-cran-adehabitatlt, r-cran-cshapes, r-cran-foreign, r-cran-googlevis, r-cran-gstat, r-cran-maps, r-cran-mapdata, r-cran-plm, r-cran-raster, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rpostgresql, r-cran-knitr, r-cran-isocodes, r-cran-markdown, r-cran-sf, r-cran-sftime, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-spacetime_1.3-3-1.ca2004.1_all.deb
Size: 2773964
MD5sum: adecae750e2830131c906b90381d5c73
SHA1: a6ce60f721eea6eedad49587910023aec58fa684
SHA256: ea8793af1c495243c6fd342c8719561f1d909b06e0f7116d931f29bd96af26a4
SHA512: f733b3c8cdaf7ce9d3e003e9b8b1064a9477a2211b6a6cacdd2b1494648a55a9efd15c96c67c4f0cac72b27b10ea758f6cf42ed08c65ce2113149a06a9b0ceb5
Homepage: https://cran.r-project.org/package=spacetime
Description: CRAN Package 'spacetime' (Classes and Methods for Spatio-Temporal Data)
 Classes and methods for spatio-temporal data, including space-time regular
 lattices, sparse lattices, irregular data, and trajectories; utility
 functions for plotting data as map sequences (lattice or animation) or
 multiple time series; methods for spatial and temporal selection and
 subsetting, as well as for spatial/temporal/spatio-temporal matching or
 aggregation, retrieving coordinates, print, summary, etc.

Package: r-cran-spacey
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2655
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-raster, r-cran-rayshader, r-cran-magrittr, r-cran-png, r-cran-jsonlite, r-cran-rgdal
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-future, r-cran-pkgload
Filename: pool/dists/focal/main/r-cran-spacey_0.1.1-1.ca2004.1_all.deb
Size: 1878400
MD5sum: fac6fca2fb334417044c0c0361b453b3
SHA1: 1072d71c15587ffc06d398d3ab883ceaab170c17
SHA256: 1c94a7518c28db9b78b662aab340c9520daef52a5baa1c649409bf0b45b57f40
SHA512: 3a3cc274ab920d3fbe5c0cae1f89951961efe9a02c49ed19654ef871b0b417f44e42ac2efade5cdb7454f5c561fd92c16bda7d701ccb4f8e166831909e24faa0
Homepage: https://cran.r-project.org/package=spacey
Description: CRAN Package 'spacey' (Easily Obtain Spatial Data and Make Better Maps)
 One of the remaining pain points in making beautiful maps via packages like
 'rayshader' is both obtaining and processing spatial data to build from.
 'spacey' aims to make it easier to obtain and use this data for locations
 within the United States, providing utilities to download 'USGS' and 'ESRI'
 geospatial data and quickly turn it into maps.

Package: r-cran-spacyr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-reticulate
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-quanteda, r-cran-r.rsp, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidytext, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-spacyr_1.3.0-1.ca2004.1_all.deb
Size: 243524
MD5sum: 1727a8df622c30e6fd0c011e83b1ef56
SHA1: 8589d8c43dd1b4af39913b895932b7ef81a5c016
SHA256: 18d5b4bb49b5b0b7ab390ac8b40b0a2917d65e5431af9a956bbf23d56732a31d
SHA512: f0586c3adafd2eaf4be0ab8ece9a59b6c2951532c7faaf8775ea0b919bb7b1874a719d09f205bd05f1a6cc137a83a99dffe4c7f3d34643986f99d0e0a988abb0
Homepage: https://cran.r-project.org/package=spacyr
Description: CRAN Package 'spacyr' (Wrapper to the 'spaCy' 'NLP' Library)
 An R wrapper to the 'Python' 'spaCy' 'NLP' library, from <https://spacy.io>.

Package: r-cran-spadar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mapproj, r-cran-rceim
Filename: pool/dists/focal/main/r-cran-spadar_1.0-1.ca2004.1_all.deb
Size: 327200
MD5sum: 0edafe8667b66c2bfc4fc349622c1ecd
SHA1: 233765906b8a1ede7578bfbb051207631ec6ea22
SHA256: ecc774afa427e8cf504d707647df9fd8b9fc274674aeacfea41cb1a657a4150e
SHA512: 7050027b6fd63ca303e645e3c0da8b7b63a922abee2fc097f9306742a54bf506a6b14aa17896cd24a783fbe99274c58910b8e7f33da12222400f9425bdda3c50
Homepage: https://cran.r-project.org/package=SPADAR
Description: CRAN Package 'SPADAR' (Spherical Projections of Astronomical Data)
 Provides easy to use functions to create all-sky grid plots of widely used
 astronomical coordinate systems (equatorial, ecliptic, galactic) and scatter
 plots of data on any of these systems including on-the-fly system
 conversion. It supports any type of spherical projection to the plane
 defined by the 'mapproj' package.

Package: r-cran-spaddins
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstudioapi, r-cran-magrittr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rebus
Filename: pool/dists/focal/main/r-cran-spaddins_0.2.0-1.ca2004.1_all.deb
Size: 75656
MD5sum: 2a146183857cc992bc7185ae9b7b2add
SHA1: 149b86fc7b34d784aa4492b20a80323b537ae9ae
SHA256: 0af3c95600e1a69ed70be6432c68c4d131d703ee5c65c050d3b31b3e98bb04bf
SHA512: c587ed718e5bbccf3faa2a67dfe7e3d5052450b7da37063b1e640b27a3b3d83938d281ea24f928bd8bb986467404208ef677c5ba8103f76d4a290e939055b204
Homepage: https://cran.r-project.org/package=spAddins
Description: CRAN Package 'spAddins' (A Set of RStudio Addins)
 A set of RStudio addins that are designed to be used in combination with
 user-defined RStudio keyboard shortcuts. These addins either: 1) insert text
 at a cursor position (e.g. insert operators %>%, <<-, %$%, etc.), 2) replace
 symbols in selected pieces of text (e.g., convert backslashes to forward
 slashes which results in stings like "c:\data\" converted into "c:/data/")
 or 3) enclose text with special symbols (e.g., converts "bold" into
 "**bold**") which is convenient for editing R Markdown files.

Package: r-cran-spader
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 702
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spader_0.1.1-1.ca2004.1_all.deb
Size: 675716
MD5sum: 81060e3c2558fc4cadd6e83251ce1a95
SHA1: 6195bffcacd9a82b3521c3a981146d213f3de56b
SHA256: c40031fd14988360269eacdd711db8933655dd0814db2a4e5c289e82ee02d495
SHA512: dd3385611dcbbc9b67685d7344b40b3f90364794b0ea08b2110cdea4e0c93ff0a6a248bd815785005c68378c63e96236a023dce0a97080a8ee19b138614609cb
Homepage: https://cran.r-project.org/package=SpadeR
Description: CRAN Package 'SpadeR' (Species-Richness Prediction and Diversity Estimation with R)
 Estimation of various biodiversity indices and related (dis)similarity
 measures based on individual-based (abundance) data or sampling-unit-based
 (incidence) data taken from one or multiple communities/assemblages.

Package: r-cran-spades.addins
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-miniui, r-cran-reproducible, r-cran-rstudioapi, r-cran-shiny, r-cran-spades.core, r-cran-stringi
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spades.addins_0.1.4-1.ca2004.1_all.deb
Size: 157580
MD5sum: fe3195b8bd4ebe59b74624b26a74420f
SHA1: 8b8e8d8a658d53b0b7839a288d766bd7ccfd6efc
SHA256: 9a292f00229b50da2f380f7d74cc4dd531699769c3f55abaeca81c19cb04af06
SHA512: cd7eb461a88ba7850bb3ecf4a927efa63344804c7f97e7be0eafee6eab4efe9689a7347e04123b581a5a5d1b9f5c5d4bd996d0b897531b61b7540ab04cac0bf3
Homepage: https://cran.r-project.org/package=SpaDES.addins
Description: CRAN Package 'SpaDES.addins' (Development Tools for 'SpaDES' and 'SpaDES' Modules)
 Provides 'RStudio' addins for 'SpaDES' packages and 'SpaDES' module
 development. See '?SpaDES.addins' for an overview of the tools provided.

Package: r-cran-spades.core
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6747
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quickplot, r-cran-reproducible, r-cran-cli, r-cran-data.table, r-cran-fs, r-cran-igraph, r-cran-lobstr, r-cran-qs, r-cran-require, r-cran-terra, r-cran-whisker
Suggests: r-cran-archive, r-cran-circstats, r-cran-codetools, r-cran-covr, r-cran-diagrammer, r-cran-future, r-cran-future.callr, r-cran-ggplot2, r-cran-ggplotify, r-cran-httr, r-cran-knitr, r-cran-lattice, r-cran-logging, r-cran-magrittr, r-cran-pkgload, r-cran-png, r-cran-rcolorbrewer, r-cran-raster, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rsqlite, r-cran-rstudioapi, r-cran-sp, r-cran-spades.tools, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-spades.core_2.1.0-1.ca2004.1_all.deb
Size: 3575380
MD5sum: 28cc1c6baf774b115817f6fc11c369dd
SHA1: 56be3d4d34cde5a13091899732a1c28e03676700
SHA256: ad02a89ca020e1e3aa63ab366d08476ff7d91c210294fe5185874a74e483e4ad
SHA512: aa45c7055224e5885806aadc4275068a3377129534f0353e66f5238f4d445d202dac2481f2f3eb9d063b50c119c3edaacf9d4e6f73d38a49eb1679334b8cfe0d
Homepage: https://cran.r-project.org/package=SpaDES.core
Description: CRAN Package 'SpaDES.core' (Core Utilities for Developing and Running Spatially ExplicitDiscrete Event Models)
 Provides the core framework for a discrete event system to implement a
 complete data-to-decisions, reproducible workflow.  The core components
 facilitate the development of modular pieces, and enable the user to include
 additional functionality by running user-built modules.  Includes
 conditional scheduling, restart after interruption, packaging of reusable
 modules, tools for developing arbitrary automated workflows, automated
 interweaving of modules of different temporal resolution, and tools for
 visualizing and understanding the within-project dependencies.  The
 suggested package 'NLMR' can be installed from the repository
 (<https://PredictiveEcology.r-universe.dev>).

Package: r-cran-spades
Architecture: all
Version: 2.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quickplot, r-cran-reproducible, r-cran-spades.core, r-cran-spades.tools
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spades_2.0.11-1.ca2004.1_all.deb
Size: 203832
MD5sum: 6fbb7020f8dccc60fca952da690a546f
SHA1: 9483c9f16cfecaa38b56cb41c852d2afa4d2d1cb
SHA256: 424cbd82b5566993d5fd641a217ec559a82e5f004a6a0c65716597c28eae03af
SHA512: 584ad658d0c25d08fc2f8d6a326e0892aee38e267b04e6f65b589a197b0cc9cf60b2593c12f5f034a596b6e2560489778db4419c7121d2a03feb16b48b5f1cea
Homepage: https://cran.r-project.org/package=SpaDES
Description: CRAN Package 'SpaDES' (Develop and Run Spatially Explicit Discrete Event SimulationModels)
 Metapackage for implementing a variety of event-based models, with a focus
 on spatially explicit models. These include raster-based, event-based, and
 agent-based models. The core simulation components (provided by
 'SpaDES.core') are built upon a discrete event simulation (DES; see Matloff
 (2011) ch 7.8.3 <https://nostarch.com/artofr.htm>) framework that
 facilitates modularity, and easily enables the user to include additional
 functionality by running user-built simulation modules (see also
 'SpaDES.tools'). Included are numerous tools to visualize rasters and other
 maps (via 'quickPlot'), and caching methods for reproducible simulations
 (via 'reproducible'). Tools for running simulation experiments are provided
 by 'SpaDES.experiment'. Additional functionality is provided by the
 'SpaDES.addins' and 'SpaDES.shiny' packages.

Package: r-cran-spaero
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 561
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-earlywarnings, r-cran-knitr, r-cran-moments, r-cran-np, r-cran-pomp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spaero_0.6.0-1.ca2004.1_all.deb
Size: 485972
MD5sum: 0bae104f5f7674660f1bbf4c9934024a
SHA1: 3bc4c944b0b8feed8ba421097e45445041ff6cd2
SHA256: a2f21410dbbd5d229e025b95f6d1eaad4609d0d8a659d606a8d196d6d0e6ce96
SHA512: 519bc41c4b49684e6d3e74c09bc3226019a2e2059cd26aa07354f3d8c4a37c432e949140927cc2fd93b0bfa4f59cf40fc652261c33faadfa83f14c93cba01bbf
Homepage: https://cran.r-project.org/package=spaero
Description: CRAN Package 'spaero' (Software for Project AERO)
 Implements methods for anticipating the emergence and eradication of
 infectious diseases from surveillance time series. Also provides support for
 computational experiments testing the performance of such methods.

Package: r-cran-spagmix
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-abind, r-cran-sparr, r-cran-mvtnorm, r-cran-spatstat.geom, r-cran-spatstat.random
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-spagmix_0.4-2-1.ca2004.1_all.deb
Size: 138364
MD5sum: d3ca5f027b9c6d6250644787bb25a1a0
SHA1: 8000611c6947418c7d8aef3215bd21eb76fabb42
SHA256: e8f6bc74d6e4b70db3a9163fbc16ca4756e8ab1dab929ace049fd39c47308ee3
SHA512: 86e8e1e6b0bb227a4c2bb21ac1e24397c731608520178efa185f81147811419ee10aa7498b1ba00bdaa052b1083a1cb0baa57a274e49b01ac38abbd358b4b183
Homepage: https://cran.r-project.org/package=spagmix
Description: CRAN Package 'spagmix' (Artificial Spatial and Spatio-Temporal Densities on BoundedWindows)
 Simple utilities to design and generate density functions on bounded regions
 in space and space-time, and simulate independent, identically distributed
 data therefrom. See Davies & Lawson (2019)
 <doi:10.1080/00949655.2019.1575066> for example.

Package: r-cran-spanel
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spanel_0.1-1.ca2004.1_all.deb
Size: 57652
MD5sum: 92878817aa1f51e4540711d62c3332ca
SHA1: 6c46c28cab79ce23dc955d4d91822b36e4f7f008
SHA256: 64b678d5223dc0294b8eac5592f32631c84554ddd39a3ee0237702768b7dfdc5
SHA512: 22ae6a1c83d8daca98c5bfeed6049b8f87bb66df5abe6f1b3aa63e22ed2a1bc568d6f6b49479c4988b1d8fa0f579e4583265eb87f71cb9c41f6cba32dea64e0b
Homepage: https://cran.r-project.org/package=spanel
Description: CRAN Package 'spanel' (Spatial Panel Data Models)
 Fit the spatial panel data models: the fixed effects, random effects and
 between models.

Package: r-cran-spanish
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-xml2
Suggests: r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-spanish_0.4.2-1.ca2004.1_all.deb
Size: 40816
MD5sum: 4f574490bae81231879832058ea859d1
SHA1: 5878f0c0862fbe51595546661be1412b791b4507
SHA256: 356793ce965e396de53e42ae146057ed0fc98157efb270be7fa9c0eb602cb937
SHA512: c71a01e150b12afc25ab0e3301a2eaeafca65c04ed9bcedffe5ea07a6267f811838c6d1ebf231715029eb0ed7de73197924f72c8ce452294b6dce644c93270bd
Homepage: https://cran.r-project.org/package=spanish
Description: CRAN Package 'spanish' (Translate Quantities from Strings to Integer and Back. MiscFunctions on Spanish Data)
 Character vector to numerical translation in Euros from Spanish spelled
 monetary quantities. Reverse translation from integer to Spanish.  Upper
 limit is up to the millions range. Geocoding via Cadastral web site.

Package: r-cran-spanishoddata
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2462
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dbi, r-cran-digest, r-cran-dplyr, r-cran-duckdb, r-cran-fs, r-cran-glue, r-cran-here, r-cran-httr2, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-memoise, r-cran-openssl, r-cran-parallelly, r-cran-paws.storage, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-flowmapblue, r-cran-flowmapper, r-cran-furrr, r-cran-future, r-cran-future.mirai, r-cran-hexsticker, r-cran-mapspain, r-cran-quarto, r-cran-remotes, r-cran-scales, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-spanishoddata_0.2.0-1.ca2004.1_all.deb
Size: 1843460
MD5sum: 52787814176182762bb23be008b1306f
SHA1: f50e37b22b3645a73706d10cb993c1a01f463df2
SHA256: ff0be0306c6f8e5ed728c017c853a3969d21a2ccf637585134115eab92ef673a
SHA512: dd9dc93282bb8b3d0b6ace194ef3e7fadcdef00ee7d270df2ed22073b37958d6b55726e12e21d38d37ee2e0ced71929e120a184832e60df661dc24923b71897a
Homepage: https://cran.r-project.org/package=spanishoddata
Description: CRAN Package 'spanishoddata' (Get Spanish Origin-Destination Data)
 Gain seamless access to origin-destination (OD) data from the Spanish
 Ministry of Transport, hosted at
 <https://www.transportes.gob.es/ministerio/proyectos-singulares/estudios-de-movilidad-con-big-data/opendata-movilidad>.
 This package simplifies the management of these large datasets by providing
 tools to download zone boundaries, handle associated origin-destination
 data, and process it efficiently with the 'duckdb' database interface.
 Local caching minimizes repeated downloads, streamlining workflows for
 researchers and analysts. Extensive documentation is available at
 <https://ropenspain.github.io/spanishoddata/index.html>, offering guides on
 creating static and dynamic mobility flow visualizations and transforming
 large datasets into analysis-ready formats.

Package: r-cran-spanova
Architecture: all
Version: 0.99.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-geor, r-cran-shiny, r-cran-mass, r-cran-matrix, r-cran-scottknott, r-cran-car, r-cran-gtools, r-cran-multcomp, r-cran-multcompview, r-cran-mvtnorm, r-cran-dt, r-cran-shinybs, r-cran-xtable, r-cran-shinythemes, r-cran-rmarkdown, r-cran-knitr, r-cran-spdep, r-cran-ape, r-cran-spatialreg, r-cran-shinycssloaders
Filename: pool/dists/focal/main/r-cran-spanova_0.99.4-1.ca2004.1_all.deb
Size: 165280
MD5sum: b1ce607c40ab9cc1ccc55fecb9219a69
SHA1: 4cd23d2efd3d0d683b748c5cb0ca1ca2a3ed5340
SHA256: e9bff7a76586af31dcd0a3cf02db8674d2e6e700b538499b50a558c4994f5b10
SHA512: 84266dee893c477312873c73cd2c61c82381dd7dd6039bd69f964ed97390be2b83242ed6ee9376ea9763dc150225b8932f0bbad8985211b06f7e97b6b5c6d04a
Homepage: https://cran.r-project.org/package=spANOVA
Description: CRAN Package 'spANOVA' (Analysis of Field Trials with Geostatistics & Spatial AR Models)
 Perform analysis of variance when the experimental units are spatially
 correlated. There are two methods to deal with spatial dependence: Spatial
 autoregressive models (see Rossoni, D. F., & Lima, R. R. (2019)
 <doi:10.28951/rbb.v37i2.388>) and geostatistics (see Pontes, J. M., &
 Oliveira, M. S. D. (2004) <doi:10.1590/S1413-70542004000100018>). For both
 methods, there are three multicomparison procedure available: Tukey,
 multivariate T, and Scott-Knott.

Package: r-cran-spar
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spar_0.1-1.ca2004.1_all.deb
Size: 54872
MD5sum: b459dfda2c62fd00ff3104489731c950
SHA1: 4b520c66e14d6fd8558e346d2fa433a2c12897b4
SHA256: 5fc67adf608de4e18371a8845a972f5c1d4981a2bc2dfa885ba79721407f7d51
SHA512: 056dba048ba77ba1d29dea2ab04770c81eca1ad61f4f8f92467da3ed3ff5a1a94a3df2150c53fd75757029a315f9dc154a6b40a2d8218c8836aeaf942df371f2
Homepage: https://cran.r-project.org/package=SPAr
Description: CRAN Package 'SPAr' (Perform rare variants association analysis based on summation ofpartition approaches)
 This package performs robust nonparametric tests for rare variants
 association analysis using summation of partition approaches that
 incorporate gene-gene and gene-environmental interactions

Package: r-cran-spareg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1052
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-rocr, r-cran-rdpack, r-cran-ggplot2, r-cran-rlang, r-cran-glmnet
Suggests: r-cran-testthat, r-cran-foreach, r-cran-doparallel, r-cran-robustbase, r-cran-cellwise, r-cran-variablescreening, r-cran-ggpubr, r-cran-r.matlab
Filename: pool/dists/focal/main/r-cran-spareg_1.0.0-1.ca2004.1_all.deb
Size: 924028
MD5sum: f50ffef5d996999b546088946b129a1a
SHA1: 9d55b28957ea4e22962ec22498b7f5587385df31
SHA256: e827294425c4a5c1b43ffd0ae7fe4d2fc8c65a4ab5952f5fdb7a8c0585cf2a4f
SHA512: 6036cc11c26a1b8c910777fc50c985d25d5c6454940d026d29e5e6364afeabe9d400666a12004bc19291aa9e7220d8a5578a48e10f82ebe1e9b3ce26e338ca35
Homepage: https://cran.r-project.org/package=spareg
Description: CRAN Package 'spareg' (Sparse Projected Averaged Regression)
 A flexible framework combining variable screening and random projection
 techniques for fitting ensembles of predictive generalized linear models to
 high-dimensional data.  Designed for extensibility, the package implements
 key techniques as S3 classes with user-friendly constructors, enabling easy
 integration and development of new procedures for high-dimensional
 applications. For more details see Parzer et al (2024a)
 <doi:10.48550/arXiv.2312.00130> and Parzer et al (2024b)
 <doi:10.48550/arXiv.2410.00971>.

Package: r-cran-spark.sas7bdat
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spark.sas7bdat_1.4-1.ca2004.1_all.deb
Size: 20232
MD5sum: 01b4987ccdd955cc88242dd745004423
SHA1: 2a51f83b73aba0f59d90c4e70713c83715f983f9
SHA256: e6cc11e7d0fd3b4dc86006479f63f055dcda165085e45d43d76811e190a1a3e7
SHA512: 150f48ba5a3ccb868e7625ac7736b282f0904de83e75d7a4cf6301499c5a184890cd753de8325eb1d9ab81f04c58e0e7550458935041b25ac9458df2128f8c31
Homepage: https://cran.r-project.org/package=spark.sas7bdat
Description: CRAN Package 'spark.sas7bdat' (Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark')
 Read in 'SAS' Data ('.sas7bdat' Files) into 'Apache Spark' from R. 'Apache
 Spark' is an open source cluster computing framework available at
 <http://spark.apache.org>. This R package uses the 'spark-sas7bdat' 'Spark'
 package (<https://spark-packages.org/package/saurfang/spark-sas7bdat>) to
 import and process 'SAS' data in parallel using 'Spark'. Hereby allowing to
 execute 'dplyr' statements in parallel on top of 'SAS' data.

Package: r-cran-sparkavro
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr, r-cran-dplyr, r-cran-dbi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparkavro_0.3.0-1.ca2004.1_all.deb
Size: 27700
MD5sum: cac514a7f395bbf09c8583662e09c66e
SHA1: 27dbcecb3c6c66936c9c55563789a51e8e9770b9
SHA256: 9be9fc7c9c009b88c0bdd1a21d267c428c3c3d0de6b2060fc1c648ef9882cc0f
SHA512: 166e6eaa746fea44f78536450e243884403babda6ce382d1062a32a435c0c78d9df4667df6018ad166f7c14a07b0f500e33dbd99758daec3780cae3f832e874f
Homepage: https://cran.r-project.org/package=sparkavro
Description: CRAN Package 'sparkavro' (Load Avro file into 'Apache Spark')
 Load Avro Files into 'Apache Spark' using 'sparklyr'. This allows to read
 files from 'Apache Avro' <https://avro.apache.org/>.

Package: r-cran-sparkbq
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-sparkbq_0.1.1-1.ca2004.1_all.deb
Size: 65556
MD5sum: 54093eaf67948411533cb837d0dc3bd8
SHA1: ba8884d92c5e8a772b236f8534d50bbf04e43056
SHA256: 0fd7ccf6daa5f8c17762dfbf6f8333c49b0730060678775f5a2133a6bdab47cd
SHA512: 3d47a5730826ae6bc667621a3f522c5b0e4caec6c202d0559f57d4d7e4dce3998f0fe20028a07f2b0c43f06617e7910d1a66a51155ec34ce5134339e6cb23b39
Homepage: https://cran.r-project.org/package=sparkbq
Description: CRAN Package 'sparkbq' (Google 'BigQuery' Support for 'sparklyr')
 A 'sparklyr' extension package providing an integration with Google
 'BigQuery'.  It supports direct import/export where records are directly
 streamed from/to 'BigQuery'.  In addition, data may be imported/exported via
 intermediate data extracts on Google 'Cloud Storage'.

Package: r-cran-sparkhail
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-sparklyr, r-cran-sparklyr.nested
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparkhail_0.1.1-1.ca2004.1_all.deb
Size: 105540
MD5sum: 1cbd29241a358276f2823aedb32c9071
SHA1: 433f1fcb42f576e9ecf4dd865831b46c64f892a8
SHA256: 68d9743272023fa418829a94553f9b900948e44594d5db47c8868de8ec1781d9
SHA512: 00d9272fa471ab668903a7f7632b2d3ee07a141519d32a44812ee4c22ade7a37dd811a1d80e52bcec7c7db182fc4bd1396c393cbbb32723e9b3d7a3280457baf
Homepage: https://cran.r-project.org/package=sparkhail
Description: CRAN Package 'sparkhail' (A 'Sparklyr' Extension for 'Hail')
 'Hail' is an open-source, general-purpose, 'python' based data analysis tool
 with additional data types and methods for working with genomic data, see
 <https://hail.is/>. 'Hail' is built to scale and has first-class support for
 multi-dimensional structured data, like the genomic data in a genome-wide
 association study (GWAS). 'Hail' is exposed as a 'python' library, using
 primitives for distributed queries and linear algebra implemented in
 'scala', 'spark', and increasingly 'C++'. The 'sparkhail' is an R extension
 using 'sparklyr' package.  The idea is to help R users to use 'hail'
 functionalities with the well-know 'tidyverse' syntax, see
 <https://www.tidyverse.org/>.

Package: r-cran-sparkline
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 761
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-formattable, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-sparkline_2.0-1.ca2004.1_all.deb
Size: 191448
MD5sum: a6f7673f44d2cf7db576e5e2aa1fce89
SHA1: 54379f93a581407cb969e531c5e369bd81576e23
SHA256: 60c908670153b195d0801d7591d386e05664878641030b8195bd4f01ddf05bb5
SHA512: 938c73439bcf8baf44fa1ef56ea564f2ebb5d0058d6cc63b1a40c8ad7b654cf1b23b01252452c32e75ce14f40326136ad89ba99989c629b0986e20eb0efb1dc1
Homepage: https://cran.r-project.org/package=sparkline
Description: CRAN Package 'sparkline' ('jQuery' Sparkline 'htmlwidget')
 Include interactive sparkline charts
 <http://omnipotent.net/jquery.sparkline> in all R contexts with the
 convenience of 'htmlwidgets'.

Package: r-cran-sparklyr.flint
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbplyr, r-cran-dplyr, r-cran-rlang, r-cran-sparklyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-sparklyr.flint_0.2.2-1.ca2004.1_all.deb
Size: 185220
MD5sum: 8699c26f0ef734c64184e06248016b69
SHA1: fbaed2be07b87b1757ea264ce3efcaaf90f1ca6c
SHA256: dc15a044c33a98bae675c7aec3d4d595e5f88c48ae8c4fce3e56fb6473d16070
SHA512: 87f399b247764c908f5a7aa1edb8f93110f73b498a7d4c9fcd73bc47b4aeb0b21d7c423e6a1c16e52485d22798d81177d866dfdab5d2d1c3c27734fe4e887d89
Homepage: https://cran.r-project.org/package=sparklyr.flint
Description: CRAN Package 'sparklyr.flint' (Sparklyr Extension for 'Flint')
 This sparklyr extension makes 'Flint' time series library functionalities
 (<https://github.com/twosigma/flint>) easily accessible through R.

Package: r-cran-sparklyr.nested
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sparklyr, r-cran-jsonlite, r-cran-listviewer, r-cran-dplyr, r-cran-rlang, r-cran-purrr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-reactr
Filename: pool/dists/focal/main/r-cran-sparklyr.nested_0.0.4-1.ca2004.1_all.deb
Size: 48924
MD5sum: ad7d81aacc9ad7e60b4f5adc8cbdcf7b
SHA1: 0bbb80cac31aaf84d80d3e81f455674ead528988
SHA256: 332487faeca42172d9ba17aa4710c1bd4de1fdb7d4b824b90085404bb4ed8df3
SHA512: 8d0a46cb99c4213cb792b13e6fe0411041fe9c76750a304ba16bc1579f98505de22fc150905b9d86a2bc0a89854bc34a7b79faac317a6de8cab0085fa2c07aee
Homepage: https://cran.r-project.org/package=sparklyr.nested
Description: CRAN Package 'sparklyr.nested' (A 'sparklyr' Extension for Nested Data)
 A 'sparklyr' extension adding the capability to work easily with nested
 data.

Package: r-cran-sparklyr
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4727
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-config, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-generics, r-cran-globals, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-purrr, r-cran-rlang, r-cran-rstudioapi, r-cran-tidyr, r-cran-tidyselect, r-cran-uuid, r-cran-vctrs, r-cran-withr, r-cran-xml2
Suggests: r-cran-arrow, r-cran-broom, r-cran-diffobj, r-cran-foreach, r-cran-ggplot2, r-cran-iterators, r-cran-janeaustenr, r-cran-lahman, r-cran-mlbench, r-cran-nnet, r-cran-nycflights13, r-cran-r6, r-cran-r2d3, r-cran-rcurl, r-cran-reshape2, r-cran-shiny, r-cran-parsnip, r-cran-testthat, r-cran-rprojroot
Filename: pool/dists/focal/main/r-cran-sparklyr_1.9.1-1.ca2004.1_all.deb
Size: 3802296
MD5sum: 553ec794edcd030749b4362bab3a2296
SHA1: d48358886972a4004062e741e6fcc44b475c792f
SHA256: 3173c99bf1ae1f88669cfac0f587144bf94c2206d0ca6a8c3c870189acbdb0f0
SHA512: 0f11cd07b099f4841956ab18649477967488868ad516362298c352e5195e261fb1bdec258755b42695748d86fd1b0356d3fc3b7c1abb1224bb480262438a0ad8
Homepage: https://cran.r-project.org/package=sparklyr
Description: CRAN Package 'sparklyr' (R Interface to Apache Spark)
 R interface to Apache Spark, a fast and general engine for big data
 processing, see <https://spark.apache.org/>. This package supports
 connecting to local and remote Apache Spark clusters, provides a 'dplyr'
 compatible back-end, and provides an interface to Spark's built-in machine
 learning algorithms.

Package: r-cran-sparktex
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sparktex_0.1-1.ca2004.1_all.deb
Size: 112304
MD5sum: 5b13c1ea3c03fc50102f4d455adf3ffd
SHA1: 52329cf7391a5834d8f9b2f0c102b36d9f1c2063
SHA256: 251e5909539a967b77d111cbe223ea08ab94fc68d2a7d6eeb962e0c3471027b9
SHA512: bab7c039a52dd567608ab470ec1121bfdb1985c0eb07e6666576367c0670ee11e10e82ea8ecd501614ce6ea21fb52b368aff3626a16cc655f1f669278cb9a84c
Homepage: https://cran.r-project.org/package=sparktex
Description: CRAN Package 'sparktex' (Generate LaTeX sparklines in R)
 Generate syntax for use with the sparklines package for LaTeX.

Package: r-cran-sparktf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-sparktf_0.1.0-1.ca2004.1_all.deb
Size: 18824
MD5sum: 1fe997eedc2750cd4cf6d9bc820fe73a
SHA1: bdaaa59c622f5e8dd3be795ce22e6f1cbc8ec2bd
SHA256: eff3b66b3d4aeb981dfaf9b67c0a4a80ee9c147eeaa150544e316a0c5ffc5253
SHA512: edd5557ff974e74b4f5d98951f51440339451f038edf503f7f05b9b1a88cec0588b1f296b6a2dd96c40c181acf73280053392d321029348a8ff68d35b938f282
Homepage: https://cran.r-project.org/package=sparktf
Description: CRAN Package 'sparktf' (Interface for 'TensorFlow' 'TFRecord' Files with 'Apache Spark')
 A 'sparklyr' extension that enables reading and writing 'TensorFlow'
 TFRecord files via 'Apache Spark'.

Package: r-cran-sparkxgb
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sparklyr, r-cran-rlang, r-cran-magrittr, r-cran-vctrs, r-cran-fs
Suggests: r-cran-dplyr, r-cran-purrr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sparkxgb_0.2.0-1.ca2004.1_all.deb
Size: 69176
MD5sum: 471e3fb35df1b461cf111f741eb01a7e
SHA1: 0a77f554d4b2437e18a818818855257aed6669cd
SHA256: ff81a8c7077ffdbc8b40180763741362eba38ff8c8a7b2fcf137c3789929d82f
SHA512: 23bb2fa49f5a2b69cd9ec1b612d86efb09beb9aab937d26c3df34fecc93389a6cb62d9dd902d96a653b984856d49472d0b184ac87e9a077da6625073a09b4f70
Homepage: https://cran.r-project.org/package=sparkxgb
Description: CRAN Package 'sparkxgb' (Interface for 'XGBoost' on 'Apache Spark')
 A 'sparklyr' <https://spark.posit.co/> extension that provides an R
 interface for 'XGBoost' <https://github.com/dmlc/xgboost> on 'Apache Spark'.
 'XGBoost' is an optimized distributed gradient boosting library.

Package: r-cran-sparql
Architecture: all
Version: 1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-sparql_1.16-1.ca2004.1_all.deb
Size: 36332
MD5sum: 71a3a5c620ceb29ec25a43b0e788dc61
SHA1: 585943a79771986e5b3dc62cb05c533f1a7e38ae
SHA256: a964145abaaccef10dcd2553eb683a55ff4601aaf4bd78be553eff5079788011
SHA512: a5161630fd1848f41611a9c066c8bae4c26dae04b92dcbb71c08f7458bf9cfe031e032a68909303387f686845ad4c262bd9fe8ab63dcb9a99f893a902a97ebd2
Homepage: https://cran.r-project.org/package=SPARQL
Description: CRAN Package 'SPARQL' (SPARQL client)
 Use SPARQL to pose SELECT or UPDATE queries to an end-point.

Package: r-cran-sparr
Architecture: all
Version: 2.3-16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.utils, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spatstat.random, r-cran-spatstat.univar, r-cran-doparallel, r-cran-foreach, r-cran-misc3d
Suggests: r-cran-fftwtools
Filename: pool/dists/focal/main/r-cran-sparr_2.3-16-1.ca2004.1_all.deb
Size: 616380
MD5sum: e867e196de278b44004ac9bbf3877423
SHA1: 4dddb66c9787076a4d7c4acfc3982946a9a99718
SHA256: 3582357e0ba753ad7bcf027a07802a43fc7ab579b497967a727595a30484382c
SHA512: bf241587d9914b742657001265f9bae32f0e0dec66dc65669bea1d1de1be3bf26b60e14bb9d74eacb97758ec2f7d45755e9db0cfcc08e5ed8a259148acb8890b
Homepage: https://cran.r-project.org/package=sparr
Description: CRAN Package 'sparr' (Spatial and Spatiotemporal Relative Risk)
 Provides functions to estimate kernel-smoothed spatial and spatio-temporal
 densities and relative risk functions, and perform subsequent inference.
 Methodological details can be found in the accompanying tutorial: Davies et
 al. (2018) <DOI:10.1002/sim.7577>.

Package: r-cran-sparrafairness
Architecture: all
Version: 0.1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1559
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-ranger, r-cran-mvtnorm, r-cran-cvauc, r-cran-ggplot2, r-cran-ggrepel, r-cran-patchwork, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparrafairness_0.1.0.0-1.ca2004.1_all.deb
Size: 1502912
MD5sum: 4d464efbae1cd3a62a6854273b30443e
SHA1: 3ec8fd965a9a373ac54a4562a6393fcb9ef99b0a
SHA256: 2f0ce3136c89d914cca001dff1b04850b835103c01141cd0e95868fa389a121f
SHA512: 1ec863df11dd63e8b880af26e39894980e6125d2d34289b5121a3bdb64ca788bc19304616f1abaf60d3a88d62f21f1fcc8c34a89872c8ddf94d42042278a5dfe
Homepage: https://cran.r-project.org/package=SPARRAfairness
Description: CRAN Package 'SPARRAfairness' (Analysis of Differential Behaviour of SPARRA Score AcrossDemographic Groups)
 The SPARRA risk score (Scottish Patients At Risk of admission and
 Re-Admission) estimates yearly risk of emergency hospital admission using
 electronic health records on a monthly basis for most of the Scottish
 population. This package implements a suite of functions used to analyse the
 behaviour and performance of the score, focusing particularly on
 differential performance over demographically-defined groups. It includes
 useful utility functions to plot receiver-operator-characteristic,
 precision-recall and calibration curves, draw stock human figures, estimate
 counterfactual quantities without the need to re-compute risk scores, to
 simulate a semi-realistic dataset. Our manuscript can be found at:
 <doi:10.1371/journal.pdig.0000675>.

Package: r-cran-sparrpowr
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1926
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dofuture, r-cran-dorng, r-cran-fields, r-cran-foreach, r-cran-future, r-cran-iterators, r-cran-lifecycle, r-cran-sparr, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-terra
Suggests: r-cran-geojsonsf, r-cran-ggmap, r-cran-ggplot2, r-cran-sf, r-cran-spatstat.data, r-cran-spelling, r-cran-testthat, r-cran-tidyterra, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-sparrpowr_0.2.8-1.ca2004.1_all.deb
Size: 1436840
MD5sum: a63a34718811f34afc0c740a30cf7bbe
SHA1: a07d4c554df3f5adc373a854d5b76a54fee84492
SHA256: 0e2915e477a55be448e027946880876ec9260cacc5c5985da0fb885d21b8a5df
SHA512: 17e47b4dcf55462cd24cb9c5009b8bc5e84aa4a8034ca9d8b39e9623edeeba9ed61c85de4de272274f74913631a0daa26ad13b044b6aeda24d72d149fc022ac9
Homepage: https://cran.r-project.org/package=sparrpowR
Description: CRAN Package 'sparrpowR' (Power Analysis to Detect Spatial Relative Risk Clusters)
 Calculate the statistical power to detect clusters using kernel-based
 spatial relative risk functions that are estimated using the 'sparr'
 package.  Details about the 'sparr' package methods can be found in the
 tutorial: Davies et al. (2018) <doi:10.1002/sim.7577>. Details about kernel
 density estimation can be found in J. F. Bithell (1990)
 <doi:10.1002/sim.4780090616>. More information about relative risk functions
 using kernel density estimation can be found in J. F. Bithell (1991)
 <doi:10.1002/sim.4780101112>.

Package: r-cran-sparsebc
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2226
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-fields
Filename: pool/dists/focal/main/r-cran-sparsebc_1.2-1.ca2004.1_all.deb
Size: 2245520
MD5sum: a881d0eaef7225af845f6feae08758ef
SHA1: f46fc474d7905bfa911e5cd903cc6839a15cad3b
SHA256: 0e0e8d1359046f883053d13c6842a95eb1d701685e5c983d7a91352d27b1c53c
SHA512: e2e071cd3869fec3aef5561c141d1f8c5a52aad51440027c2174d598f77c135652599ac799c2102907525514333720dd1b36a23917e1d3a851d1d4bfc0c40e7f
Homepage: https://cran.r-project.org/package=sparseBC
Description: CRAN Package 'sparseBC' (Sparse Biclustering of Transposable Data)
 Implements the sparse biclustering proposal of Tan and Witten (2014), Sparse
 biclustering of transposable data. Journal of Computational and Graphical
 Statistics 23(4):985-1008.

Package: r-cran-sparsebiplots
Architecture: all
Version: 4.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-sparsepca
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparsebiplots_4.0.2-1.ca2004.1_all.deb
Size: 49340
MD5sum: 7e57c43241c80d3a22a0e36e14a63a70
SHA1: e9753f9a62d6cf29324bf9143ea4d042e45d6ede
SHA256: 4bd22e787b7581de8246752c3902b1060057ec74dbfd90f16b05d7c7e5e028f5
SHA512: 5d0a0ae74fbf04e82786a63afeb4ad83b58c80b5aaff438da07fa66d0e2dc321d2333a46f2ae4490dc93c99cd37eea902fef43a1052c1c2f01bfe0d40c684aa2
Homepage: https://cran.r-project.org/package=SparseBiplots
Description: CRAN Package 'SparseBiplots' ('HJ-Biplot' using Different Ways of Penalization Plotting with'ggplot2')
 The 'HJ-Biplot' is a multivariate method that represents high-dimensional
 data in a low-dimensional subspace, capturing most of the information’s
 variability in just a few dimensions. This package implements three new
 regularized versions of the HJ-Biplot: Ridge, LASSO, and Elastic Net. These
 versions introduce restrictions that shrink or zero-out variable weights to
 improve interpretability based on regularization theory. All methods provide
 graphical representations using 'ggplot2'.

Package: r-cran-sparsebnutils
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-nnet
Suggests: r-cran-bnlearn, r-bioc-graph, r-cran-igraph, r-cran-network, r-bioc-rcy3, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparsebnutils_0.0.8-1.ca2004.1_all.deb
Size: 230256
MD5sum: 50673e80dd2368e582148b2350ade006
SHA1: 1e8fc2db55940e0d7747f49f9bcc8385b52f0288
SHA256: 8aefad9c9cb709e0acb819d82efad463b7eef6cd2048bb0c297f86d1b64c4a85
SHA512: ba1117b0b45ec57b7755ca9537b9e0b42eb704e99794787dbc721fb2746807ede57c9894bd399e9b70164c15a05b196c58ca860a421bb00cd6a4d3bd68ead97f
Homepage: https://cran.r-project.org/package=sparsebnUtils
Description: CRAN Package 'sparsebnUtils' (Utilities for Learning Sparse Bayesian Networks)
 A set of tools for representing and estimating sparse Bayesian networks from
 continuous and discrete data, as described in Aragam, Gu, and Zhou (2017)
 <arXiv:1703.04025>.

Package: r-cran-sparsecov
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-mvnfast, r-cran-rfast, r-cran-sparsemvn
Filename: pool/dists/focal/main/r-cran-sparsecov_0.0.1-1.ca2004.1_all.deb
Size: 38764
MD5sum: e54185548b8c7b48834a4a89402e0c28
SHA1: effcc19cfa99756de746c78a83d48cb64eeb49cd
SHA256: 73ca9677c381cf78d1b74aba66a2a0b95049f8b13084693ee5c34d3c9ad153eb
SHA512: 996418a200b63d2f1d2bf91706b0038ef7a5a415d961702ec5a61bca444b343084405fd604ffbbb4246402a99016de3214353238037ed9947ff68edea0f010fb
Homepage: https://cran.r-project.org/package=sparseCov
Description: CRAN Package 'sparseCov' (Sparse Covariance Estimation Based on Thresholding)
 A sparse covariance estimator based on different thresholding operators.

Package: r-cran-sparsedc
Architecture: all
Version: 0.1.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4799
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparsedc_0.1.17-1.ca2004.1_all.deb
Size: 4831072
MD5sum: e52936b03bb95a21c227db5339342b14
SHA1: a034ba389d710f3acc08f45dadd49a3532cba018
SHA256: 8d99f32b99cfaf98c50576a5ffb11557d93740ae70e54d81eea6bf3ac7d721f7
SHA512: 0df1050d054f02167caa4bf24b2a424b01482272f0665752e76e710e79edae48fcea60b8e43bb237fe11e89adc2c288367b21cad8dd2ae56d511d617d38e9f22
Homepage: https://cran.r-project.org/package=SparseDC
Description: CRAN Package 'SparseDC' (Implementation of SparseDC Algorithm)
 Implements the algorithm described in Barron, M., Zhang, S. and Li, J. 2017,
 "A sparse differential clustering algorithm for tracing cell type changes
 via single-cell RNA-sequencing data", Nucleic Acids Research, gkx1113,
 <doi:10.1093/nar/gkx1113>. This algorithm clusters samples from two
 different populations, links the clusters across the conditions and
 identifies marker genes for these changes. The package was designed for
 scRNA-Seq data but is also applicable to many other data types, just replace
 cells with samples and genes with variables. The package also contains
 functions for estimating the parameters for SparseDC as outlined in the
 paper. We recommend that users further select their marker genes using the
 magnitude of the cluster centers.

Package: r-cran-sparsediscrim
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bdsmatrix, r-cran-corpcor, r-cran-dplyr, r-cran-ggplot2, r-cran-mvtnorm, r-cran-rlang
Suggests: r-cran-testthat, r-cran-mass, r-cran-covr, r-cran-modeldata, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-sparsediscrim_0.3.0-1.ca2004.1_all.deb
Size: 334712
MD5sum: 8a92f8fbe32d4a0adcd587d50f85df74
SHA1: 11d9891c078296bf2127d0ed56f93e6ae8abc69d
SHA256: 0faaf6b248da29c21e94e238917beee09d38cacbadba2c03a0124b9e5d978add
SHA512: 13c88b0ab204205a54f3b5cdb39fd7860560b227274d1421c3b0fe44ecc25fe4a540ceedb7553f34a720bd263ee358de747ad27c0e75fd6728c01a1be435821d
Homepage: https://cran.r-project.org/package=sparsediscrim
Description: CRAN Package 'sparsediscrim' (Sparse and Regularized Discriminant Analysis)
 A collection of sparse and regularized discriminant analysis methods
 intended for small-sample, high-dimensional data sets. The package features
 the High-Dimensional Regularized Discriminant Analysis classifier from Ramey
 et al. (2017) <arXiv:1602.01182>. Other classifiers include those from
 Dudoit et al. (2002) <doi:10.1198/016214502753479248>, Pang et al. (2009)
 <doi:10.1111/j.1541-0420.2009.01200.x>, and Tong et al. (2012)
 <doi:10.1093/bioinformatics/btr690>.

Package: r-cran-sparseeigen
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparseeigen_0.1.0-1.ca2004.1_all.deb
Size: 322332
MD5sum: d581632d6164c40add0d643bb686454d
SHA1: 70dcb94c61023f2d071a83ca5faa757fd7315fbb
SHA256: fce0d6e6dd54391a738ef612bffb003dded1d7b566a75a4458da36f515489f1b
SHA512: 53ad8870da2acba6c76a5832ae9a1bd4132ae244b54eed2f2ac680b36d934599c1a20644ed78421c602ea8f7b583699158f1b1cd4f245c9296fb5083bcb89ecc
Homepage: https://cran.r-project.org/package=sparseEigen
Description: CRAN Package 'sparseEigen' (Computation of Sparse Eigenvectors of a Matrix)
 Computation of sparse eigenvectors of a matrix (aka sparse PCA) with running
 time 2-3 orders of magnitude lower than existing methods and better final
 performance in terms of recovery of sparsity pattern and estimation of
 numerical values. Can handle covariance matrices as well as data matrices
 with real or complex-valued entries. Different levels of sparsity can be
 specified for each individual ordered eigenvector and the method is robust
 in parameter selection. See vignette for a detailed documentation and
 comparison, with several illustrative examples.  The package is based on the
 paper: K. Benidis, Y. Sun, P. Babu, and D. P. Palomar (2016). "Orthogonal
 Sparse PCA and Covariance Estimation via Procrustes Reformulation," IEEE
 Transactions on Signal Processing <doi:10.1109/TSP.2016.2605073>.

Package: r-cran-sparseflmm
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-refund, r-cran-mass, r-cran-matrix, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-sparseflmm_0.4.2-1.ca2004.1_all.deb
Size: 386056
MD5sum: 94e7b4fade1fe7370d7698b8cf65e06f
SHA1: 6adbc24c2b8ecde16fa9f689b7693a4318eccc7b
SHA256: be5b2ebea187e0a088e463caa7c4791ceb9bf19633d64bd4bf526ab5a4430994
SHA512: 79f1838aa2a8b7c1f7f5b26c3fd88adb8b98c7dc38f6e5f5eecbe312cd8f25c84cf9a35889b892dbd047571fc4be9179eae17353fb4db79a47dbdef6853b2b5a
Homepage: https://cran.r-project.org/package=sparseFLMM
Description: CRAN Package 'sparseFLMM' (Functional Linear Mixed Models for Irregularly or SparselySampled Data)
 Estimation of functional linear mixed models for irregularly or sparsely
 sampled data based on functional principal component analysis.

Package: r-cran-sparsefunclust
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparsefunclust_1.0.0-1.ca2004.1_all.deb
Size: 129084
MD5sum: 6c85fcb527e4e8e3d261b0a89df3408f
SHA1: 9eedbfb7b9678c1231247fbd1abbfd66e4a9675d
SHA256: 553621c95e1d94631e76d65199595adc5589a3ed9c079074c3f0d940d8e1c5af
SHA512: 10cd78bee4a30d4bceea723ac2223053ed193618bb4e10baa5166f05198ea4b80bcab58abebc6241e70c9e000cd1be8183287afe47fdffa9a2f712ed66c612df
Homepage: https://cran.r-project.org/package=SparseFunClust
Description: CRAN Package 'SparseFunClust' (Sparse Functional Clustering)
 Provides a general framework for performing sparse functional clustering as
 originally described in Floriello and Vitelli (2017)
 <doi:10.1016/j.jmva.2016.10.008>, with the possibility of jointly handling
 data misalignment (see Vitelli, 2019, <doi:10.48550/arXiv.1912.00687>).

Package: r-cran-sparsegrid
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-statmod, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sparsegrid_0.8.2-1.ca2004.1_all.deb
Size: 173944
MD5sum: f0f095919ae4f8756aa1df8e202b55ee
SHA1: 5dfe37ed225629daad2359d6903aa682f7307fb8
SHA256: 438cea35f47f802123d56123dab9b4e7227344ce566ed03d5f78596d34b9839c
SHA512: fa6a92cd7df4a5924c2ba38dbfed3eeb64dd9007a61ac8be997148e0547b6549f9c56e672d9ac4edcf2aea8b0d105a6d2606e8dae6f762bbaedea04d178d88c0
Homepage: https://cran.r-project.org/package=SparseGrid
Description: CRAN Package 'SparseGrid' (Sparse grid integration in R)
 SparseGrid is a package to create sparse grids for numerical integration,
 based on code from www.sparse-grids.de

Package: r-cran-sparseindextracking
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2962
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-r.rsp, r-cran-xts
Filename: pool/dists/focal/main/r-cran-sparseindextracking_0.1.1-1.ca2004.1_all.deb
Size: 2383120
MD5sum: 376c6310ae3b77d00ca991d6d8785e9c
SHA1: f45c5966f72ba931701896555df118cf6e15d0a4
SHA256: 071809237a742631f3fb0126d10f34277f0e9044528fc4b86ea231e470e3b496
SHA512: eea52721391b4da0823c7706b63485e01d57e09f86163f914c2253651689ab16dbce270ffbcef4cf5078c964e10b109a73a102473a187a6bffea8309a5b1482e
Homepage: https://cran.r-project.org/package=sparseIndexTracking
Description: CRAN Package 'sparseIndexTracking' (Design of Portfolio of Stocks to Track an Index)
 Computation of sparse portfolios for financial index tracking, i.e., joint
 selection of a subset of the assets that compose the index and computation
 of their relative weights (capital allocation). The level of sparsity of the
 portfolios, i.e., the number of selected assets, is controlled through a
 regularization parameter. Different tracking measures are available, namely,
 the empirical tracking error (ETE), downside risk (DR), Huber empirical
 tracking error (HETE), and Huber downside risk (HDR). See vignette for a
 detailed documentation and comparison, with several illustrative examples.
 The package is based on the paper: K. Benidis, Y. Feng, and D. P. Palomar,
 "Sparse Portfolios for High-Dimensional Financial Index Tracking," IEEE
 Trans. on Signal Processing, vol. 66, no. 1, pp. 155-170, Jan. 2018.
 <doi:10.1109/TSP.2017.2762286>.

Package: r-cran-sparselda
Architecture: all
Version: 0.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-elasticnet, r-cran-mass, r-cran-mda
Filename: pool/dists/focal/main/r-cran-sparselda_0.1-9-1.ca2004.1_all.deb
Size: 380684
MD5sum: 7c0377145dac5aaaf0cb06ffd90a3c64
SHA1: ab9e95ad4340ed9830eb468aebc4638eb4b489c0
SHA256: 834d9a4747c1113cd105b16de88ecf600b47b0d469c7656b63353cdcfc5a5331
SHA512: c213af3d0efc7897bbd02c5bd7757f3b117756653c37c691e539962859636ace4449c4ae5b99a834bef4c77b3bddfca8645c31e178184b9d18e61f24b1b2441c
Homepage: https://cran.r-project.org/package=sparseLDA
Description: CRAN Package 'sparseLDA' (Sparse Discriminant Analysis)
 Performs sparse linear discriminant analysis for Gaussians and mixture of
 Gaussian models.

Package: r-cran-sparselink
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-proc, r-cran-mvtnorm, r-cran-spls, r-cran-xrnet
Suggests: r-cran-knitr, r-cran-testthat, r-cran-remotes, r-cran-glmtrans, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparselink_1.0.0-1.ca2004.1_all.deb
Size: 169216
MD5sum: de723f7b4518951f0d101e67c1245e59
SHA1: df10ac3a9f29053a6ee5454c751147ae730ccfd9
SHA256: 3023cf4861e31f136a6f2e268f2191df35fa0b27d1fc49526cd2b1abacb77b10
SHA512: a3e78e0b801ce1c52032b9ef793e3e577e384ec20244f8b4964fe5b1a4275f699e7ebde17a6d0209691698846807578887cd0f5a81b5194eda7a394c47e3bbd9
Homepage: https://cran.r-project.org/package=sparselink
Description: CRAN Package 'sparselink' (Sparse Regression for Related Problems)
 Estimates sparse regression models (i.e., with few non-zero coefficients) in
 high-dimensional multi-task learning and transfer learning settings, as
 proposed by Rauschenberger et al. (2025)
 <https://orbilu.uni.lu/handle/10993/63425>.

Package: r-cran-sparselrmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rspectra
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparselrmatrix_0.1.0-1.ca2004.1_all.deb
Size: 26376
MD5sum: 0231207d3e54bf4673676b046456c78e
SHA1: 53a5312454ad8082c1091f52c01ca3ccb3750c79
SHA256: d67f73408b43e47727a72d55824f88e65f87065e17ea4620719d01dbe59e3660
SHA512: 95b601a4e3fcd4ccb65f0746313a88b5ad39bbba335914b3dc3a709adc5323738d33b967a5058b425000b9126a43c17546ed52c76e2bc6f388aa1f62f158ca7e
Homepage: https://cran.r-project.org/package=sparseLRMatrix
Description: CRAN Package 'sparseLRMatrix' (Represent and Use Sparse + Low Rank Matrices)
 Provides an S4 class for representing and interacting with sparse plus rank
 matrices. At the moment the implementation is quite spare, but the plan is
 eventually subclass Matrix objects.

Package: r-cran-sparsematest
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso
Filename: pool/dists/focal/main/r-cran-sparsematest_1.0.0-1.ca2004.1_all.deb
Size: 40876
MD5sum: 987c666d61fd1ca3f33ace17af91510f
SHA1: a42ce3d8b05a8784ad0a59ebded81b4631f78cdc
SHA256: cb76b5ce778071854061fa95daaeae6d2eed6a1ce41d5e0badcfd5c0868562c8
SHA512: c0a7eedb7ac39017b0196d3c0d1d92e5900250e80a0c0fd448b7f22919ea4ceb35804d885bfe4d700ee4b1f010bf1ff2e7dc0c0ca664acfb221145cb221fea53
Homepage: https://cran.r-project.org/package=sparseMatEst
Description: CRAN Package 'sparseMatEst' (Sparse Matrix Estimation and Inference)
 The 'sparseMatEst' package provides functions for estimating sparse
 covariance and precision matrices with error control. A false positive rate
 is fixed corresponding to the probability of falsely including a matrix
 entry in the support of the estimator.  It uses the binary search method
 outlined in Kashlak and Kong (2019) <arXiv:1705.02679> and in Kashlak (2019)
 <arXiv:1903.10988>.

Package: r-cran-sparsemdc
Architecture: all
Version: 0.99.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4814
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dorng, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparsemdc_0.99.5-1.ca2004.1_all.deb
Size: 4843016
MD5sum: c90a7ee69cd714f52f0ae591b38f14c9
SHA1: 524efa59405dffbf522238b9cfc28376f8fb9d75
SHA256: 51f00a8017b99dd0e33a35d4b1b88d2b7c87e988c005fd50bafa359edd203f11
SHA512: a97e69f77931681d0766e3f33f19c38e7e45a251d20c8b35e7b6d0c07d1c1a3ba8f14b3f1b141ec771c168232eecf60a6a7e7e2178c68fb0df9161e4313ef475
Homepage: https://cran.r-project.org/package=SparseMDC
Description: CRAN Package 'SparseMDC' (Implementation of SparseMDC Algorithm)
 Implements the algorithm described in Barron, M., and Li, J. (Not yet
 published). This algorithm clusters samples from multiple ordered
 populations, links the clusters across the conditions and identifies marker
 genes for these changes. The package was designed for scRNA-Seq data but is
 also applicable to many other data types, just replace cells with samples
 and genes with variables. The package also contains functions for estimating
 the parameters for SparseMDC as outlined in the paper. We recommend that
 users further select their marker genes using the magnitude of the cluster
 centers.

Package: r-cran-sparsemse
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-rcapture
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sparsemse_2.0.1-1.ca2004.1_all.deb
Size: 112948
MD5sum: 21de560e9bb0e95899880dd470bd524e
SHA1: 1ab19848b54ebe4f1f8764a804fc17d12f571865
SHA256: 0db4fd3745ac39e04fab018ed813e84189bf72ed3d71b7b982db08d1b726caa4
SHA512: d86a6c939e8a9760dd7306f7cf82ef1c505e0e70975c63359c473df892442bb1681dc226245f395b4c2d8f2184a7e3a586e00460921a838756c41cf13287aaac
Homepage: https://cran.r-project.org/package=SparseMSE
Description: CRAN Package 'SparseMSE' ('Multiple Systems Estimation for Sparse Capture Data')
 Implements the routines and algorithms developed and analysed in "Multiple
 Systems Estimation for Sparse Capture Data: Inferential Challenges when
 there are Non-Overlapping Lists" Chan, L, Silverman, B. W., Vincent, K
 (2019) <arXiv:1902.05156>. This package explicitly handles situations where
 there are pairs of lists which have no observed individuals in common.  It
 deals correctly with parameters whose estimated values can be considered as
 being negative infinity.  It also addresses other possible issues of
 non-existence and non-identifiability of maximum likelihood estimates.

Package: r-cran-sparsemvn
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-forcats, r-cran-knitr, r-cran-bookdown, r-cran-kableextra, r-cran-testthat, r-cran-scales, r-cran-trustoptim
Filename: pool/dists/focal/main/r-cran-sparsemvn_0.2.2-1.ca2004.1_all.deb
Size: 273220
MD5sum: 270b6c208d57c9355fe3004279e51a97
SHA1: 651fb4039f80147c1b8453e0b57da2f224c294c1
SHA256: adb816a40a53add36f88a63a4f26089526724cb7c4e9a503a10056be9a0aff82
SHA512: 8db8c71810fcb2a36be494d23160074a9bdb8dd0f82ef71a10fc9ab39c2e3119479be98799c5f45f23e799e0a228500b47c23c3660d4586afee048b90c11ce5e
Homepage: https://cran.r-project.org/package=sparseMVN
Description: CRAN Package 'sparseMVN' (Multivariate Normal Functions for Sparse Covariance andPrecision Matrices)
 Computes multivariate normal (MVN) densities, and samples from MVN
 distributions, when the covariance or precision matrix is sparse.

Package: r-cran-sparsepca
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsvd
Filename: pool/dists/focal/main/r-cran-sparsepca_0.1.2-1.ca2004.1_all.deb
Size: 48364
MD5sum: f1c7f9a26a2b1c4dc3c497e1781d110f
SHA1: 9e0bb05a265fe0e36cb97653572b019f3dc24593
SHA256: 103c86c9f1d589e0eb4c2c002827010148b97bd3f9d4e914884fd260e63016ef
SHA512: 97db7006dc12a78f396de632691429118ab703e2313e35e1196f85249c4fc5a19ba26dbdbb6e7d9600206df6c1bd8b428573f5fe1ce9b5d7b3f7512ecbc78af4
Homepage: https://cran.r-project.org/package=sparsepca
Description: CRAN Package 'sparsepca' (Sparse Principal Component Analysis (SPCA))
 Sparse principal component analysis (SPCA) attempts to find sparse weight
 vectors (loadings), i.e., a weight vector with only a few 'active' (nonzero)
 values. This approach provides better interpretability for the principal
 components in high-dimensional data settings. This is, because the principal
 components are formed as a linear combination of only a few of the original
 variables. This package provides efficient routines to compute SPCA.
 Specifically, a variable projection solver is used to compute the sparse
 solution. In addition, a fast randomized accelerated SPCA routine and a
 robust SPCA routine is provided. Robust SPCA allows to capture grossly
 corrupted entries in the data. The methods are discussed in detail by N.
 Benjamin Erichson et al. (2018) <arXiv:1804.00341>.

Package: r-cran-sparsepp
Architecture: all
Version: 1.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rcpp
Filename: pool/dists/focal/main/r-cran-sparsepp_1.22-1.ca2004.1_all.deb
Size: 109108
MD5sum: ccc495e0d088cc8f65a189ca8cfbf14d
SHA1: cee550fc4b974ae0ffa76c82e75d869b8d00697d
SHA256: 4ff5e35a3de3da5effffcf9c6aa5d8d5f06d5a5fd5ed8dd85816faa5bff11979
SHA512: c7810180f5186c954f3289f0a436d45ad3646953062e8a65b0928eb59a9f0f39cd01321b82684c4db2a11ca51e44c7bc3c3975ce49d184f3994db4be1b4ee911
Homepage: https://cran.r-project.org/package=sparsepp
Description: CRAN Package 'sparsepp' ('Rcpp' Interface to 'sparsepp')
 Provides interface to 'sparsepp' - fast, memory efficient hash map.  It is
 derived from Google's excellent 'sparsehash' implementation.  We believe
 'sparsepp' provides an unparalleled combination of performance and memory
 usage, and will outperform your compiler's unordered_map on both counts.
 Only Google's 'dense_hash_map' is consistently faster, at the cost of much
 greater memory usage (especially when the final size of the map is not known
 in advance).

Package: r-cran-sparser
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2376
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ncvreg, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-recipes
Suggests: r-cran-survival, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-testthat, r-cran-covr, r-cran-modeldata, r-cran-mass
Filename: pool/dists/focal/main/r-cran-sparser_0.3.2-1.ca2004.1_all.deb
Size: 1669548
MD5sum: fbc0d1c7f6ac78edfa854323d96fc3de
SHA1: 1a8e01fb11428a836e9d45f01d2787a3b957786e
SHA256: 579aeba791c2eda41b9985496bf6647824cd427a3820155d4899ece2d86a4bff
SHA512: 1c0f8ef2c2fa8848856e652929749ee4584579ca12453d5a7b659e2821cf6d53c3aa977400ab9cf36cb9e87c0c5306966ef2bce61b04cb9783d991f16acb130c
Homepage: https://cran.r-project.org/package=sparseR
Description: CRAN Package 'sparseR' (Variable Selection under Ranked Sparsity Principles forInteractions and Polynomials)
 An implementation of ranked sparsity methods, including penalized regression
 methods such as the sparsity-ranked lasso, its non-convex alternatives, and
 elastic net, as well as the sparsity-ranked Bayesian Information Criterion.
 As described in Peterson and Cavanaugh (2022)
 <doi:10.1007/s10182-021-00431-7>, ranked sparsity is a philosophy with
 methods primarily useful for variable selection in the presence of prior
 informational asymmetry, which occurs in the context of trying to perform
 variable selection in the presence of interactions and/or polynomials.
 Ultimately, this package attempts to facilitate dealing with cumbersome
 interactions and polynomials while not avoiding them entirely. Typically,
 models selected under ranked sparsity principles will also be more
 transparent, having fewer falsely selected interactions and polynomials than
 other methods.

Package: r-cran-sparsestep
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-sparsestep_1.0.1-1.ca2004.1_all.deb
Size: 48388
MD5sum: 92388f42e05c13df2b7c9bbebefcc82c
SHA1: 812e85414a479bd2559631249d76a27a8d6e23ff
SHA256: 2caff5680cffcbd114c3c743dae39c722715438171fe8f5eced562ea4231215c
SHA512: 535671912c950f3061fe37fe7401272f92d55f2103f84617c26b7392b42462fd99fafdf0e1fd530019d47ea8e1f01da2feab9a405acf9a13c566aeb8fa146472
Homepage: https://cran.r-project.org/package=sparsestep
Description: CRAN Package 'sparsestep' (SparseStep Regression)
 Implements the SparseStep model for solving regression problems with a
 sparsity constraint on the parameters. The SparseStep regression model was
 proposed in Van den Burg, Groenen, and Alfons (2017) <arXiv:1701.06967>. In
 the model, a regularization term is added to the regression problem which
 approximates the counting norm of the parameters.  By iteratively improving
 the approximation a sparse solution to the regression problem can be
 obtained.  In this package both the standard SparseStep algorithm is
 implemented as well as a path algorithm which uses golden section search to
 determine solutions with different values for the regularization parameter.

Package: r-cran-sparsevar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 431
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-ncvreg, r-cran-doparallel, r-cran-glmnet, r-cran-ggplot2, r-cran-reshape2, r-cran-mvtnorm, r-cran-picasso, r-cran-corpcor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sparsevar_0.1.0-1.ca2004.1_all.deb
Size: 391880
MD5sum: d632e10ed9a67c80d3ae6f1a11a6ced5
SHA1: 85095ab4b7cf7c24af24a6ea04308534b65adf1d
SHA256: 6eb5aa7d7af3dd0240d5cd75e023997c09a72e81a31b60b2b9a3c519d567c6af
SHA512: cbd4b1e3029caf46ea5616a5e814801915aa6031d8e9d9af016f0164737f68a90e0768c03e29e0a2318f0c644f5e83dc77a55f338cf4113c5fbf1dc5024c41b7
Homepage: https://cran.r-project.org/package=sparsevar
Description: CRAN Package 'sparsevar' (Sparse VAR/VECM Models Estimation)
 A wrapper for sparse VAR/VECM time series models estimation using penalties
 like ENET (Elastic Net), SCAD (Smoothly Clipped Absolute Deviation) and MCP
 (Minimax Concave Penalty).  Based on the work of Sumanta Basu and George
 Michailidis <doi:10.1214/15-AOS1315>.

Package: r-cran-sparsevfc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2790
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pdist, r-cran-purrr
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sparsevfc_0.1.2-1.ca2004.1_all.deb
Size: 2689308
MD5sum: 623434fcd4cea817ba75cb3c77626bcf
SHA1: d0598eba22fadfa5ecb1cd00e5104257ec262449
SHA256: 5fee5f20ef77db26be22ca175707d902989e9213d97b1df839aceff05d4dde52
SHA512: 85c7bf1757794dfbb4336ddc442e02b473005fc55b5863f3dacd71ba5440414b3e8ee6c1f66696493c897f14667dcf84bc24bbdc85bbb10437d2ec1d051b85f2
Homepage: https://cran.r-project.org/package=SparseVFC
Description: CRAN Package 'SparseVFC' (Sparse Vector Field Consensus for Vector Field Learning)
 The sparse vector field consensus (SparseVFC) algorithm (Ma et al., 2013
 <doi:10.1016/j.patcog.2013.05.017>) for robust vector field learning.
 Largely translated from the Matlab functions in
 <https://github.com/jiayi-ma/VFC>.

Package: r-cran-spartaas
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3146
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-plotly, r-cran-stringr, r-cran-colorspace, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinyjqui, r-cran-fpc, r-cran-ggdendro, r-cran-htmltools, r-cran-rstudioapi, r-cran-htmlwidgets, r-cran-shinythemes, r-cran-explor, r-cran-shinywidgets, r-cran-scatterd3, r-cran-ks, r-cran-foreign, r-cran-cluster, r-cran-leaflet, r-cran-ape, r-cran-mass, r-cran-ade4, r-cran-lmtest, r-cran-nor1mix, r-cran-shinycssloaders, r-cran-scales, r-cran-fastcluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sf
Filename: pool/dists/focal/main/r-cran-spartaas_1.2.4-1.ca2004.1_all.deb
Size: 2487832
MD5sum: 455f811bfad8fd3438bd3709257ca43b
SHA1: 24d9621bb3096f145f47f375ee1f761965461bd2
SHA256: 5b1225649cef7398dba2f49b97f4c8cef19834309159d92749bfe1c1b60b948c
SHA512: bc43302ceeb10e7e50b72b1e897d891a26cfc63e1d8b158db8ad4aab07ab4acbf66bbbe78f9c94f723ee61346f58bae435e54bb99a39393fd8d42b9b56637ab6
Homepage: https://cran.r-project.org/package=SPARTAAS
Description: CRAN Package 'SPARTAAS' (Statistical Pattern Recognition and daTing using ArchaeologicalArtefacts assemblageS)
 Statistical pattern recognition and dating using archaeological artefacts
 assemblages.  Package of statistical tools for archaeology.
 hclustcompro()/perioclust(): Bellanger Lise, Coulon Arthur, Husi Philippe
 (2021, ISBN:978-3-030-60103-4).  mapclust(): Bellanger Lise, Coulon Arthur,
 Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>.  seriograph(): Desachy
 Bruno (2004) <doi:10.3406/pica.2004.2396>.  cerardat(): Bellanger Lise, Husi
 Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.

Package: r-cran-spatemr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist
Suggests: r-cran-testthat, r-cran-sp, r-cran-spdep
Filename: pool/dists/focal/main/r-cran-spatemr_1.2.0-1.ca2004.1_all.deb
Size: 61236
MD5sum: b08f88ada465ed14f34029741e7c9643
SHA1: 298f3ebbfc45e5aa537ca2073e5184c571e1c3c1
SHA256: 946ec8df8c5e2bd8c1b079d515d698b2ac64263b84be6b674875d674ce4501ba
SHA512: 44d88d7dca23c59f138700b04c4fcec4ac453fc3c5af94a887a3b92fc38309cb0b3a6c8d444919c689c61d87931da741b1ddbb99f6dbec977ec0218133b93c6a
Homepage: https://cran.r-project.org/package=spatemR
Description: CRAN Package 'spatemR' (Generalized Spatial Autoregresive Models for Mean and Variance)
 Modeling spatial dependencies in dependent variables, extending traditional
 spatial regression approaches. It allows for the joint modeling of both the
 mean and the variance of the dependent variable, incorporating
 semiparametric effects in both models. Based on generalized additive models
 (GAM), the package enables the inclusion of non-parametric terms while
 maintaining the classical theoretical framework of spatial regression.
 Additionally, it implements the Generalized Spatial Autoregression (GSAR)
 model, which extends classical methods like logistic Spatial Autoregresive
 Models (SAR), probit Spatial Autoregresive Models (SAR), and Poisson Spatial
 Autoregresive Models (SAR), offering greater flexibility in modeling spatial
 dependencies and significantly improving computational efficiency and the
 statistical properties of the estimators. Related work includes: a) J.D.
 Toloza-Delgado, Melo O.O., Cruz N.A. (2024). "Joint spatial modeling of mean
 and non-homogeneous variance combining semiparametric SAR and GAMLSS models
 for hedonic prices". <doi:10.1016/j.spasta.2024.100864>. b) Cruz, N. A.,
 Toloza-Delgado, J. D., Melo, O. O. (2024). "Generalized spatial
 autoregressive model". <doi:10.48550/arXiv.2412.00945>.

Package: r-cran-spatentropy
Architecture: all
Version: 2.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.geom, r-cran-spatstat.random
Filename: pool/dists/focal/main/r-cran-spatentropy_2.2-4-1.ca2004.1_all.deb
Size: 454864
MD5sum: 4e8bc645c6e55d43d5931086edc469e6
SHA1: d76ff234f5d872c86f142ca4a92b869b7fb0000a
SHA256: 8309a95e07979425e0b973cc7c7f16ae6e56fd46d36a821d72d4945824b5067e
SHA512: f50731d16fc273205484fd59424081c219191a73830b5f437243a44765fa0934860b03cd42ecff40612fb48b9f2b3c4b1919272d7dd4e6fd1a73c7a7fb16d710
Homepage: https://cran.r-project.org/package=SpatEntropy
Description: CRAN Package 'SpatEntropy' (Spatial Entropy Measures)
 The heterogeneity of spatial data presenting a finite number of categories
 can be measured via computation of spatial entropy. Functions are available
 for the computation of the main entropy and spatial entropy measures in the
 literature. They include the traditional version of Shannon's entropy
 (Shannon, 1948 <doi:10.1002/j.1538-7305.1948.tb01338.x>), Batty's spatial
 entropy (Batty, 1974 <doi:10.1111/j.1538-4632.1974.tb01014.x>), O'Neill's
 entropy (O'Neill et al., 1998 <doi:10.1007/BF00162741>), Li and Reynolds'
 contagion index (Li and Reynolds, 1993 <doi:10.1007/BF00125347>), Karlstrom
 and Ceccato's entropy (Karlstrom and Ceccato, 2002
 <https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-61351>), Leibovici's
 entropy (Leibovici, 2009 <doi:10.1007/978-3-642-03832-7_24>), Parresol and
 Edwards' entropy (Parresol and Edwards, 2014 <doi:10.3390/e16041842>) and
 Altieri's entropy (Altieri et al., 2018, <doi:10.1007/s10651-017-0383-1>).
 Full references for all measures can be found under the topic 'SpatEntropy'.
 The package is able to work with lattice and point data. The updated version
 works with the updated 'spatstat' package (>= 3.0-2).

Package: r-cran-spatest
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spatest_3.1.2-1.ca2004.1_all.deb
Size: 119704
MD5sum: ff5ebe5a62fb247dcb21d192afb92ee1
SHA1: 5af0ca3731ee3b97812ca389005efee4a53acf05
SHA256: 7a5a6f4604ae49b37dd58413db7248c9c6c0933ed3d712becce557f695e890cd
SHA512: db3d1e87239505ffd0afab5c18ecb29060435d67ef17841fe1ae6776fb174ad8abf3fcb56769f5d1c41950acb2222e47bec9efe02ce19da2717f4b09e2483fa0
Homepage: https://cran.r-project.org/package=SPAtest
Description: CRAN Package 'SPAtest' (Score Test and Meta-Analysis Based on Saddlepoint Approximation)
 Performs score test using saddlepoint approximation to estimate the null
 distribution. Also prepares summary statistics for meta-analysis and
 performs meta-analysis to combine multiple association results. For the
 latest version, please check <https://github.com/leeshawn/SPAtest>.

Package: r-cran-spatfd
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3775
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-plotly, r-cran-dplyr, r-cran-proxy, r-cran-reshape, r-cran-gstat, r-cran-sp, r-cran-fda, r-cran-sf, r-cran-mass, r-cran-geor, r-cran-tidyr, r-cran-fda.usc
Filename: pool/dists/focal/main/r-cran-spatfd_0.0.1-1.ca2004.1_all.deb
Size: 3781120
MD5sum: 56b4e285de861aa36f4353cda7f0a0ab
SHA1: f595ec005614c43a9c6a1c1167a04931fa2a243e
SHA256: 3290e24604fd48845d9baf189b801b0c93b0065f80562b4f83d4aaa0558dd516
SHA512: e347a143183875f59076878522877655aa3b87731f66e7ee6bb96ac8398876165766a95f05e2451f59fbde2c41d11b49c88269ec15860d73edea1bb43e2168ab
Homepage: https://cran.r-project.org/package=SpatFD
Description: CRAN Package 'SpatFD' (Functional Geostatistics: Univariate and Multivariate FunctionalSpatial Prediction)
 Performance of functional kriging, cokriging, optimal sampling and
 simulation for spatial prediction of functional data. The framework of
 spatial prediction, optimal sampling and simulation are extended from scalar
 to functional data. 'SpatFD' is based on the Karhunen-Loève expansion that
 allows to represent the observed functions in terms of its empirical
 functional principal components. Based on this approach, the functional
 auto-covariances and cross-covariances required for spatial functional
 predictions and optimal sampling, are completely determined by the sum of
 the spatial auto-covariances and cross-covariances of the respective score
 components. The package provides new classes of data and functions for
 modeling spatial dependence structure among curves. The spatial prediction
 of curves at unsampled locations can be carried out using two types of
 predictors, and both of them report, the respective variances of the
 prediction error. In addition, there is a function for the determination of
 spatial locations sampling configuration that ensures minimum variance of
 spatial functional prediction. There are also two functions for plotting
 predicted curves at each location and mapping the surface at each time
 point, respectively. References Bohorquez, M., Giraldo, R., and Mateu, J.
 (2016) <doi:10.1007/s10260-015-0340-9>, Bohorquez, M., Giraldo, R., and
 Mateu, J. (2016) <doi:10.1007/s00477-016-1266-y>, Bohorquez M., Giraldo R.
 and Mateu J. (2021) <doi:10.1002/9781119387916>.

Package: r-cran-spatgc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-spdep, r-cran-sf
Filename: pool/dists/focal/main/r-cran-spatgc_0.1.0-1.ca2004.1_all.deb
Size: 55752
MD5sum: 2c56c383c3e1deae39ac34563758e0cb
SHA1: 05ad38baaa31da756fba1df12bc635446928e5f1
SHA256: b2d0f71aafb43bd0168faa18bd69d60f54ce1cbacdfa27482f6149594c38a733
SHA512: e93b6807856312c991b2e62dc5761c1988c31149c7428380df67eae637e4ff8b9d9bbf993c344e19f62a84dd5b5015cf6748e09f51ef9e69f6ca83186027b73a
Homepage: https://cran.r-project.org/package=SpatGC
Description: CRAN Package 'SpatGC' (Bayesian Modeling of Spatial Count Data)
 Provides a collection of functions for preparing data and fitting Bayesian
 count spatial regression models, with a specific focus on the Gamma-Count
 (GC) model. The GC model is well-suited for modeling dispersed count data,
 including under-dispersed or over-dispersed counts, or counts with
 equivalent dispersion, using Integrated Nested Laplace Approximations
 (INLA). The package includes functions for generating data from the GC
 model, as well as spatially correlated versions of the model. See Nadifar,
 Baghishani, Fallah (2023) <doi:10.1007/s13253-023-00550-5>.

Package: r-cran-spatgeom
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-sf, r-cran-dplyr, r-cran-lwgeom, r-cran-cowplot, r-cran-purrr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spatgeom_0.3.0-1.ca2004.1_all.deb
Size: 45980
MD5sum: 4ccadb9b463e95e8cb14eb745a45ddf5
SHA1: fd310ac6f923b197624973a3747b1ccca8e04236
SHA256: ce6ba1939a8453d107b49b4a785b4bd3816e20dfa67a6ba1463182da6e57bc0a
SHA512: 2949a6ebf598da72a15cd650b92e079a909d96304154d0fb4be94e1d4d32dd0dc3ae0f5aedbe1710931d01f5e9e18aee0f614c11aa5c7b5cffa53d8ae36593f2
Homepage: https://cran.r-project.org/package=spatgeom
Description: CRAN Package 'spatgeom' (Geometric Spatial Point Analysis)
 The implementation to perform the geometric spatial point analysis developed
 in Hernández & Solís (2022) <doi:10.1007/s00180-022-01244-1>. It estimates
 the geometric goodness-of-fit index for a set of variables against a
 response one based on the 'sf' package. The package has methods to print and
 plot the results.

Package: r-cran-spatgrid
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-qpdf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spatgrid_0.1.0-1.ca2004.1_all.deb
Size: 24396
MD5sum: 3a5fdab01e19d21a223ffcaf0efa15af
SHA1: 27d1121fe5de44fe4f670bf8261fbdaec647f786
SHA256: b0053c5ebf37c5e17a78765b6aae100cfa1043cbacee74deebb5e10590c56774
SHA512: 42002d96595f131dbfb1e251f0c0420681ac69a524e6d36a98e854875894af68220fe17da18a263bbf3d2a467c1b73a79977f2f7745d19c631b4cbd8431e8c09
Homepage: https://cran.r-project.org/package=SpatGRID
Description: CRAN Package 'SpatGRID' (Spatial Grid Generation from Longitude and Latitude List)
 The developed function is designed for the generation of spatial grids based
 on user-specified longitude and latitude coordinates. The function first
 validates the input longitude and latitude values, ensuring they fall within
 the appropriate geographic ranges. It then creates a polygon from the
 coordinates and determines the appropriate Universal Transverse Mercator
 zone based on the provided hemisphere and longitude values. Subsequently,
 transforming the input Shapefile to the Universal Transverse Mercator
 projection when necessary. Finally, a spatial grid is generated with the
 specified interval and saved as a Shapefile.  For method details see,
 Brus,D.J.(2022).<DOI:10.1201/9781003258940>. The function takes into account
 crucial parameters such as the hemisphere (north or south), desired grid
 interval, and the output Shapefile path.  The developed function is an
 efficient tool, simplifying the process of empty spatial grid generation for
 applications such as, geo-statistical analysis, digital soil mapping product
 generation, etc. Whether for environmental studies, urban planning, or any
 other geo-spatial analysis, this package caters to the diverse needs of
 users working with spatial data, enhancing the accessibility and ease of
 spatial data processing and visualization.

Package: r-cran-spathial
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2535
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-igraph, r-cran-matrixstats, r-cran-mass, r-cran-rtsne, r-cran-class, r-cran-knitr, r-cran-rmarkdown, r-cran-irlba
Filename: pool/dists/focal/main/r-cran-spathial_0.1.2-1.ca2004.1_all.deb
Size: 1887552
MD5sum: 533be638b358c36e996adcc4cf1f955b
SHA1: f00aa79273e6918085abe1c78b7eac5d712b2e71
SHA256: c3bd021efaf0dbde0b72dd7627996b17f89f3ba82606609def6c03e45c49570c
SHA512: cfcaa0642e851cd3e911f0742e1d88a064ac6bce8757d5e0bf7e308ad79b7580a2d4b4c47d6599749c8a555cf877a8e8c88330541177d7c0aecd77032a6a11cc
Homepage: https://cran.r-project.org/package=spathial
Description: CRAN Package 'spathial' (Evolutionary Analysis)
 A generic tool for manifold analysis. It allows to infer a relevant
 transition or evolutionary path which can highlights the features involved
 in a specific process. 'spathial' can be useful in all the scenarios where
 the temporal (or pseudo-temporal) evolution is the main problem (e.g. tumor
 progression). The algorithm for finding the principal path is described in:
 Ferrarotti et al., (2019) <doi:10.1109/TNNLS.2018.2884792>."

Package: r-cran-spatialacc
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-spatialacc_0.1-5-1.ca2004.1_all.deb
Size: 49728
MD5sum: 11d66327787f735e3fff73ea8d36239a
SHA1: 48e70df2060a004df992e21065105bc39545a9dd
SHA256: 02ca2c4ba0e6ca96e34ab7f66dfdf8faa7f08acd8eda92a1a46a06e83bb3eba5
SHA512: 8bf8f142f742c6ac3c45e0e5c30d515350e5744ee7576276145bd279da35f6b3ee8f456f92e9312bfe03f6ae9469ef636ce066063d975fffa6c4b7275edeefb9
Homepage: https://cran.r-project.org/package=SpatialAcc
Description: CRAN Package 'SpatialAcc' (Spatial Accessibility Measures)
 Provides a set of spatial accessibility measures from a set of locations
 (demand) to another set of locations (supply). It aims, among others, to
 support research on spatial accessibility to health care facilities.
 Includes the locations and some characteristics of major public hospitals in
 Greece.

Package: r-cran-spatialball
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3484
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-hexbin, r-cran-ggplot2, r-cran-lubridate, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spatialball_0.1.0-1.ca2004.1_all.deb
Size: 3250404
MD5sum: f65c571c9f25210bd88a9594085dd2e5
SHA1: a364a735df85977eabb01d1652c62894e60b078d
SHA256: 77176ec727abdafbebcd1a52a2a4b36bcdc02ddfb7bd0cc72eb272899ca8184b
SHA512: 881c3accb50dc96c0d0107ca9bdbbbf76e6abf3f59ddaedbf60c69fb114e9fad09e1172373179d163866a1269518963a359c11810d120200e880cd77d8962aaa
Homepage: https://cran.r-project.org/package=SpatialBall
Description: CRAN Package 'SpatialBall' (Spatial NBA Visualization and Analysis)
 Creates offensive and defensive shot charts for teams, players and seasons,
 and more comprehensively for spatial analysis of NBA data. Includes data
 from the 2016-17 NBA season extracted from <http://stats.nba.com>.

Package: r-cran-spatialcovariance
Architecture: all
Version: 0.6-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spatialcovariance_0.6-9-1.ca2004.1_all.deb
Size: 95408
MD5sum: addf189dc34b1d3cf5a4960935a2a597
SHA1: 8357ad843cca90bfebe1e403eaa76f88a6635d2f
SHA256: 10665085cd1581aa836b1e9eca232c4dcf962e14ae1a6e4b2d55253504819000
SHA512: a229622f442f77f7b5c78f16f09f429f1beb2ee5d9ec7b1a4dcec2c50ae0b8cf3c86ea8b1bb6d986b36fb2564029fd05041274c0f7d0e856b626c7d69aff1df6
Homepage: https://cran.r-project.org/package=spatialCovariance
Description: CRAN Package 'spatialCovariance' (Computation of Spatial Covariance Matrices for Data onRectangles)
 Functions that compute the spatial covariance matrix for the matern and
 power classes of spatial models, for data that arise on rectangular units.
 This code can also be used for the change of support problem and for spatial
 data that arise on irregularly shaped regions like counties or zipcodes by
 laying a fine grid of rectangles and aggregating the integrals in a form of
 Riemann integration.

Package: r-cran-spatialddls
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3830
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-grr, r-cran-matrix, r-bioc-spatialexperiment, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-bioc-zinbwave, r-cran-pbapply, r-bioc-s4vectors, r-cran-dplyr, r-cran-reshape2, r-cran-gtools, r-cran-reticulate, r-cran-keras, r-cran-tensorflow, r-cran-fnn, r-cran-ggplot2, r-cran-ggpubr, r-bioc-scran, r-bioc-scuttle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocparallel, r-bioc-rhdf5, r-bioc-delayedarray, r-bioc-delayedmatrixstats, r-bioc-hdf5array, r-cran-testthat, r-bioc-complexheatmap, r-bioc-bluster, r-cran-lsa, r-cran-irlba
Filename: pool/dists/focal/main/r-cran-spatialddls_1.0.3-1.ca2004.1_all.deb
Size: 3266372
MD5sum: fb8c59f682fe971191ad32295a623857
SHA1: 8ead9d414026fe6e640f2c5b8ab6d6a2bd86d3a7
SHA256: 7f66e1be6241c0f70be9919b25f01c44540c648e636896e314f3425995d60af9
SHA512: 5549cb32339f608ba163f410414fee61c283c0205f859482385feb63452be9b9835f2fb4fc0264e1e89bbf941bdb151380ed6d6d737f62bc75cf4969e9d0b84e
Homepage: https://cran.r-project.org/package=SpatialDDLS
Description: CRAN Package 'SpatialDDLS' (Deconvolution of Spatial Transcriptomics Data Based on NeuralNetworks)
 Deconvolution of spatial transcriptomics data based on neural networks and
 single-cell RNA-seq data. SpatialDDLS implements a workflow to create neural
 network models able to make accurate estimates of cell composition of spots
 from spatial transcriptomics data using deep learning and the meaningful
 information provided by single-cell RNA-seq data. See Torroja and
 Sanchez-Cabo (2019) <doi:10.3389/fgene.2019.00978> and Mañanes et al. (2024)
 <doi:10.1093/bioinformatics/btae072> to get an overview of the method and
 see some examples of its performance.

Package: r-cran-spatialeco
Architecture: all
Version: 2.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2320
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-terra
Suggests: r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-spdep, r-cran-ks, r-cran-cluster, r-cran-readr, r-cran-rcurl, r-cran-rann, r-cran-rms, r-cran-yaimpute, r-cran-mgcv, r-cran-zyp, r-cran-spatialpack, r-cran-mass, r-cran-caret, r-cran-dplyr, r-cran-earth, r-cran-matrix, r-cran-gstat, r-cran-spatstat.data, r-cran-units, r-cran-sp, r-cran-stringr, r-cran-lwgeom, r-cran-geodata
Filename: pool/dists/focal/main/r-cran-spatialeco_2.0-2-1.ca2004.1_all.deb
Size: 2158112
MD5sum: 00c2079e0a7ef4f4845bdff881a9a0b2
SHA1: 9e3b92eb98e11ee49232fc25c3956acf0631bd95
SHA256: d6f58b4a8b0ff5be896f0d00c743537edc7cf9dd7f880a0549fbd4ee7713591b
SHA512: c25a183c6e253e99d810a56cce378f7cb3cf99fc3a7aa493f5166d378386ef6a01a125282ea44f6990dff07993c25641fa3ff3e93b2122e11418baf1e580bf16
Homepage: https://cran.r-project.org/package=spatialEco
Description: CRAN Package 'spatialEco' (Spatial Analysis and Modelling Utilities)
 Utilities to support spatial data manipulation, query, sampling and
 modelling in ecological applications. Functions include models for species
 population density, spatial smoothing, multivariate separability, point
 process model for creating pseudo- absences and sub-sampling, Quadrant-based
 sampling and analysis, auto-logistic modeling, sampling models, cluster
 optimization, statistical exploratory tools and raster-based metrics.

Package: r-cran-spatialfdar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fda, r-cran-rgl, r-cran-geometry, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-spatialfdar_1.0.0-1.ca2004.1_all.deb
Size: 199980
MD5sum: c16a6fbf4458b9b53a30bc7e27454fb9
SHA1: 386f9c2e89d0a5f10f97acf70e9347f1aa127cbe
SHA256: 58e638ca7d12f544ce2ad64e8e4509ec9ece80f3c61cc6df91fbf9e96c5da6f0
SHA512: d3939be8fdfddec61fb1246676af86233334507d7a2fe0d18a4f54cc7012fe10b5c23834d22fd0644686138b816e750f5ac7688d1b359884591e400a3b0c566e
Homepage: https://cran.r-project.org/package=SpatialfdaR
Description: CRAN Package 'SpatialfdaR' (Spatial Functional Data Analysis)
 Finite element modeling (FEM) uses meshes of triangles to define surfaces.
 A surface within a triangle may be either linear or quadratic.  In the order
 one case each node in the mesh is associated with a basis function and the
 basis is called the order one finite element basis.  In the order two case
 each edge mid-point is also associated with a basis function.  Functions are
 provided for smoothing, density function estimation point evaluation and
 plotting results.  Two papers illustrating the finite element data analysis
 are Sangalli, L.M., Ramsay, J.O., Ramsay, T.O.
 (2013)<http://www.mox.polimi.it/~sangalli> and Bernardi, M.S, Carey, M.,
 Ramsay, J. O., Sangalli, L.  (2018)<http://www.mox.polimi.it/~sangalli>.
 Modelling spatial anisotropy via regression with partial differential
 regularization Journal of Multivariate Analysis, 167, 15-30.

Package: r-cran-spatialfusion
Architecture: all
Version: 0.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rstan, r-cran-sp, r-cran-sf, r-cran-fields, r-cran-spam, r-cran-deldir
Suggests: r-cran-testthat, r-cran-tmap, r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spatialfusion_0.7-2-1.ca2004.1_all.deb
Size: 424640
MD5sum: 5670e1622b8dfe4ec4a8ff322ff702a1
SHA1: a6036356dc90d724e9d25b2eb2d392265e5aaa29
SHA256: 860e4b2620e66fe36b2f6c670bb10b5acce09d770a28e217db3ec2cfbfb40909
SHA512: bd7dd887e9daa0fc3254d11fb3f96921d4f139233dd065ce2ee05440985e61bf4068afe80fd2df918b0a83dcc8c89f6aba5f26d3f96aebf8e1443afc76607324
Homepage: https://cran.r-project.org/package=spatialfusion
Description: CRAN Package 'spatialfusion' (Multivariate Analysis of Spatial Data Using a Unifying SpatialFusion Framework)
 Multivariate modelling of geostatistical (point), lattice (areal) and point
 pattern data in a unifying spatial fusion framework. Details are given in
 Wang and Furrer (2021) <doi:10.1016/j.csda.2021.107240>. Model inference is
 done using either 'Stan' <https://mc-stan.org/> or 'INLA'
 <https://www.r-inla.org/>.

Package: r-cran-spatialgraph
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-igraph, r-cran-pracma, r-cran-sf, r-cran-shape, r-cran-sp, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-spatialgraph_1.0-4-1.ca2004.1_all.deb
Size: 123716
MD5sum: fb7cd0438912b97b7951ec5189c0ae63
SHA1: 80ccf8dd4857f48e8fd3506927ed0f7a311f1ba4
SHA256: 0bc2e2bf785b5b812eb7417d46ea30e73db1c5f5755b0a28207fa9f59f24780f
SHA512: 8929d2b88980df42d656a815f66b9fdf7731487427b04e87ea0ab8614f855d1ad2260a3540e86a06b351824817ef87f5cab345505d4063dabaa9c0b6986dd70a
Homepage: https://cran.r-project.org/package=SpatialGraph
Description: CRAN Package 'SpatialGraph' (The SpatialGraph Class and Utilities)
 Provision of the S4 SpatialGraph class built on top of objects provided by
 'igraph' and 'sp' packages, and associated utilities. See the documentation
 of the SpatialGraph-class within this package for further description. An
 example of how from a few points one can arrive to a SpatialGraph is
 provided in the function sl2sg().

Package: r-cran-spatialml
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ranger, r-cran-caret, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-spatialml_0.1.7-1.ca2004.1_all.deb
Size: 64936
MD5sum: 13abf20c3cab24e16493ddf26d557cac
SHA1: fec0fc9fdad1d3ab12e93d03b00f14622825e30c
SHA256: 3861d2b52904009cd7c51d5839d557cd2631004a06fddd1e9576538b8f756c0f
SHA512: a348d45d21b0055c87658337639ec3312388f4e4c9c57b3796b274452622b1a475dfba30bc5b09d0dcb6d6fde3a58be65aeab6af1f1321f4a0f385509524ba3e
Homepage: https://cran.r-project.org/package=SpatialML
Description: CRAN Package 'SpatialML' (Spatial Machine Learning)
 Implements a spatial extension of the random forest algorithm (Georganos et
 al. (2019) <doi:10.1080/10106049.2019.1595177>).  Allows for a
 geographically weighted random forest regression including a function to
 find the optical bandwidth. (Georganos and Kalogirou (2022)
 <https://www.mdpi.com/2220-9964/11/9/471>).

Package: r-cran-spatialnbda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 754
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-socialnetworks, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-spatialnbda_1.0-1.ca2004.1_all.deb
Size: 631392
MD5sum: 26bb2eceba34eb2bde1546d664a66063
SHA1: be28d6df79db160817977b1b9951bbc1f966a9e5
SHA256: 47f8ebfc7ed85f99a2340a4c777fada96a48c894613b431057943243ebc332df
SHA512: 87930bf5eec7ec09e83703ff264171e04a13a984386d58e50b22663796a6698b0ca4294ac4a95256cb6014fa1ca8426dd53383ece934760f99027ac67ee30fe8
Homepage: https://cran.r-project.org/package=spatialnbda
Description: CRAN Package 'spatialnbda' (Performs spatial NBDA in a Bayesian context)
 Network based diffusion analysis (NBDA) allows inference on the asocial and
 social transmission of information.  This may involve the social
 transmission of a particular behaviour such as tool use, for example.  For
 the NBDA, the key parameters estimated are the social effect and baseline
 rate parameters.  The baseline rate parameter gives the rate at which the
 behaviour is first performed (or acquired) asocially amongst the individuals
 in a given population.  The social effect parameter quantifies the effect of
 the social associations amongst the individuals on the rate at which each
 individual first performs or displays the behaviour.  Spatial NBDA involves
 incorporating spatial information in the analysis.  This is done by
 incorporating social networks derived from spatial point patterns (of the
 home bases of the individuals under study).  In addition, a spatial
 covariate such as vegetation cover, or slope may be included in the
 modelling process.

Package: r-cran-spatialpop
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-qpdf, r-cran-numbers
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spatialpop_0.1.0-1.ca2004.1_all.deb
Size: 21228
MD5sum: 58ba4fb43c72055678ee1e49d48831f3
SHA1: ba987916eaba947030f899a317d89fec131abf8b
SHA256: 3cf181d82130c63944eb9d91eb3ccc51ee1677771e257424b5f81666dd2bbd21
SHA512: 1ac864b28ad20d3f791684eee815fe943a84fbbd669ba1a51bda6a21a191b5398097dc160816a85c08c4f3bb3f1220258d100f8aac5d963a66cf0f987a8fbf46
Homepage: https://cran.r-project.org/package=SpatialPOP
Description: CRAN Package 'SpatialPOP' (Generation of Spatial Data with Spatially Varying ModelParameter)
 A spatial population can be generated based on spatially varying regression
 model under the assumption that observations are collected from a uniform
 two-dimensional grid consist of (m * m) lattice points with unit distance
 between any two neighbouring points. For method details see Chao, Liu.,
 Chuanhua, Wei. and Yunan, Su. (2018).<DOI:10.1080/10485252.2018.1499907>.
 This spatially generated data can be used to test different issues related
 to the statistical analysis of spatial data.  This generated spatial data
 can be utilized in geographically weighted regression analysis for studying
 the spatially varying relationships among the variables.

Package: r-cran-spatialposition
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 822
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-sp, r-cran-isoband, r-cran-raster
Suggests: r-cran-lwgeom, r-cran-doparallel, r-cran-foreach, r-cran-cartography, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spatialposition_2.1.2-1.ca2004.1_all.deb
Size: 562864
MD5sum: 5df3438e994a7fdf8b046d1fa690271d
SHA1: 9a2314d127f098f0ee1b50aa49cacb091435fb31
SHA256: e4e3adc7c7b2c5c7e4609c5ddec59dd0e52ab1a126104722e2e82eb246a63164
SHA512: 6e91cf918f80af92965ed805e5021efb2078965b3fbd84fc3e5fd7322b60fdb7e81733ab9c32b31f44c92110a43301a9e027aab3b030a79ac21a39b36c9f439b
Homepage: https://cran.r-project.org/package=SpatialPosition
Description: CRAN Package 'SpatialPosition' (Spatial Position Models)
 Computes spatial position models: the potential model as defined by Stewart
 (1941) <doi:10.1126/science.93.2404.89> and catchment areas as defined by
 Reilly (1931) or Huff (1964) <doi:10.2307/1249154>.

Package: r-cran-spatialprobit
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 325
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-spdep, r-cran-spatialreg, r-cran-mvtnorm, r-cran-tmvtnorm
Suggests: r-cran-runit, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spatialprobit_1.0.4-1.ca2004.1_all.deb
Size: 272692
MD5sum: b3e2354bdec38dc799d5db7e6313bdc5
SHA1: 4475157596278d61001f110f62f5240dee2a02a9
SHA256: 31ec1d331d742cadea6d379ab1d7ee0258d2612c5c15de7aebd40487781af406
SHA512: dd58c6f0ee1375bbe67dce2c3e8895ac430d8a89390112c98c188ef90de708dd994ddd52cc54a6090d6b3e8c2bb8e750a9d5236d96765e78372934fc08f3ceb8
Homepage: https://cran.r-project.org/package=spatialprobit
Description: CRAN Package 'spatialprobit' (Spatial Probit Models)
 A collection of methods for the Bayesian estimation of Spatial Probit,
 Spatial Ordered Probit and Spatial Tobit Models. Original implementations
 from the works of 'LeSage and Pace' (2009, ISBN: 1420064258) were ported and
 adjusted for R, as described in 'Wilhelm and de Matos' (2013)
 <doi:10.32614/RJ-2013-013>.

Package: r-cran-spatialrdd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2238
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-sf, r-cran-ggplot2, r-cran-rdrobust, r-cran-lmtest, r-cran-sandwich, r-cran-cowplot, r-cran-magrittr, r-cran-rlang, r-cran-broom
Suggests: r-cran-knitr, r-cran-tmap, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra, r-cran-lfe, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-spatialrdd_0.1.0-1.ca2004.1_all.deb
Size: 1691468
MD5sum: 21d6fdc1376afee724c26388321e9239
SHA1: 98ca4233e959d7b212d6d22aea8cf5f389c0c196
SHA256: cc78b59664d8f12fffce88ff1141b36d2c4253d258e89d8edfd019ae0641ddcd
SHA512: ba8008f1a11b4ee7f7a096003ede909f2248863445c6cda3d5b77d0ad9e343f82edff3830d73e4803d9df195cec4565d58e696818124252dc960584228fcafab
Homepage: https://cran.r-project.org/package=SpatialRDD
Description: CRAN Package 'SpatialRDD' (Conduct Multiple Types of Geographic Regression DiscontinuityDesigns)
 Spatial versions of Regression Discontinuity Designs (RDDs) are becoming
 increasingly popular as tools for causal inference. However, conducting
 state-of-the-art analyses often involves tedious and time-consuming steps.
 This package offers comprehensive functionalities for executing all required
 spatial and econometric tasks in a streamlined manner. Moreover, it equips
 researchers with tools for performing essential placebo and balancing checks
 comprehensively. The fact that researchers do not have to rely on 'APIs' of
 external 'GIS' software ensures replicability and raises the standard for
 spatial RDDs.

Package: r-cran-spatialregimes
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-spdep, r-cran-quantreg, r-cran-gwmodel, r-cran-plm, r-cran-spatialreg
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-spatialregimes_1.2-1.ca2004.1_all.deb
Size: 455568
MD5sum: 575719718851320d3a3ce4701fd65981
SHA1: 138c0aa4b14e5ea23325e2f42cc847d67d603305
SHA256: 8f4a54ccd578139fde8d6b3ec7fde235ad8ef52a44d7d3c734bd6fbb6d71b3f3
SHA512: 57a889e60fc2b3a96696ea1b161aec14a0e6b92b1a3e0d53fcb95ecc688325753c19f5bd8e5b42a581fe2c99c899eb76bce1b4f75f4014664dc6fb5a38196540
Homepage: https://cran.r-project.org/package=SpatialRegimes
Description: CRAN Package 'SpatialRegimes' (Spatial Constrained Clusterwise Regression)
 A collection of functions for estimating spatial regimes, aggregations of
 neighboring spatial units that are homogeneous in functional terms. The term
 spatial regime, therefore, should not be understood as a synonym for
 cluster. More precisely, the term cluster does not presuppose any functional
 relationship between the variables considered, while the term regime is
 linked to a regressive relationship underlying the spatial process.

Package: r-cran-spatialrf
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-tibble, r-cran-foreach, r-cran-doparallel, r-cran-ranger, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-huxtable, r-cran-patchwork, r-cran-viridis
Suggests: r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-spatialrf_1.1.4-1.ca2004.1_all.deb
Size: 612508
MD5sum: 1aee030d85f538f231e8d6e825256707
SHA1: 3daeb1576d19581e514da38ad505e8066499ef52
SHA256: 4d25e8a6a8d0bb6c27a00be633e57d28092532d9320dc331be20dad68abff0d9
SHA512: 8b1b8439b1cf4d5c8f7f2549d848f9e6c4c8e32b241246bb36af94e0a25bf77c0c4a679d22738c69f1e62aceeb4499ff0498ba13b9f15610a2d289fb77fc5918
Homepage: https://cran.r-project.org/package=spatialRF
Description: CRAN Package 'spatialRF' (Easy Spatial Modeling with Random Forest)
 Automatic generation and selection of spatial predictors for spatial
 regression with Random Forest. Spatial predictors are surrogates of
 variables driving the spatial structure of a response variable. The package
 offers two methods to generate spatial predictors from a distance matrix
 among training cases: 1) Moran's Eigenvector Maps (MEMs; Dray, Legendre, and
 Peres-Neto 2006 <DOI:10.1016/j.ecolmodel.2006.02.015>): computed as the
 eigenvectors of a weighted matrix of distances; 2) RFsp (Hengl et al.
 <DOI:10.7717/peerj.5518>): columns of the distance matrix used as spatial
 predictors. Spatial predictors help minimize the spatial autocorrelation of
 the model residuals and facilitate an honest assessment of the importance
 scores of the non-spatial predictors. Additionally, functions to reduce
 multicollinearity, identify relevant variable interactions, tune random
 forest hyperparameters, assess model transferability via spatial
 cross-validation, and explore model results via partial dependence curves
 and interaction surfaces are included in the package. The modelling
 functions are built around the highly efficient 'ranger' package (Wright and
 Ziegler 2017 <DOI:10.18637/jss.v077.i01>).

Package: r-cran-spatialromle
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spatialromle_0.1.0-1.ca2004.1_all.deb
Size: 40704
MD5sum: 72aa970cf90a3208872cd9600c4bebad
SHA1: 6c8b9e77f26c126f1da5e2afccf8fccdcbd3dcb1
SHA256: 406f7a743803948f38e5130fd5f7c3d5061f0623774b51b708f2b2ae6901936c
SHA512: 175b3dd524a660cf4975bfcac2b0f1c8314ed6224deee22cd72791a7e28964178ad38efdf26422150e93250beb5329feb2095eaa0681d69a80977a6a69b01523
Homepage: https://cran.r-project.org/package=SpatialRoMLE
Description: CRAN Package 'SpatialRoMLE' (Robust Maximum Likelihood Estimation for Spatial Error Model)
 Provides robust estimation for spatial error model to presence of outliers
 in the residuals. The classical estimation methods can be influenced by the
 presence of outliers in the data. We proposed a robust estimation approach
 based on the robustified likelihood equations for spatial error model (Vural
 Yildirim & Yeliz Mert Kantar (2020): Robust estimation approach for spatial
 error model, Journal of Statistical Computation and Simulation,
 <doi:10.1080/00949655.2020.1740223>).

Package: r-cran-spatialtime
Architecture: all
Version: 1.3.4-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4099
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-scales, r-cran-purrr, r-cran-spatstat.univar, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-rcolorbrewer, r-cran-furrr, r-cran-future, r-cran-tidyselect, r-cran-crayon, r-cran-pbmcapply, r-cran-dixon, r-cran-tibble, r-cran-stringr
Suggests: r-cran-knitr, r-cran-devtools, r-cran-rmarkdown, r-cran-testthat, r-cran-gridextra, r-cran-pheatmap
Filename: pool/dists/focal/main/r-cran-spatialtime_1.3.4-5-1.ca2004.1_all.deb
Size: 3417476
MD5sum: fc567680a94a98f13e0e0b37a5200437
SHA1: 3f94be1c166f647120a87fdec65540dd2e63f6d8
SHA256: 3be9d00a86d969515ce89199d22004f5f2499d9685632082078e3ccf9c6e840e
SHA512: ddec515186501fde6a4d3e3b795eb3f3606b1d410e8a209fa26a7adfe1e21d52baa670a4d2564cae30f4122bfadf722d88f903a27c7e95db45e20216bc840913
Homepage: https://cran.r-project.org/package=spatialTIME
Description: CRAN Package 'spatialTIME' (Spatial Analysis of Vectra Immunoflourescent Data)
 Visualization and analysis of Vectra Immunoflourescent data. Options for
 calculating both the univariate and bivariate Ripley's K are included.
 Calculations are performed using a permutation-based approach presented by
 Wilson et al.  <doi:10.1101/2021.04.27.21256104>.

Package: r-cran-spatialvs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nlme, r-cran-fields
Filename: pool/dists/focal/main/r-cran-spatialvs_1.1-1.ca2004.1_all.deb
Size: 346872
MD5sum: 7a2b230c2bd2d5aa06d9bb9526266cae
SHA1: a89f85b64dbb509ad111dfa6de847b37cb0f973c
SHA256: 0f5e5af5f9def542683b4017914a8d3571eda1eec7fb281eb279c8586a79b5f8
SHA512: b6ab155bc98ced05e759b34aeb29aa16b56e24c5d3bc56b110035e6b02acee56745ace510bb7a60d0824426d1c9af8ef3434ccc0249711f4c3ecb15d29610964
Homepage: https://cran.r-project.org/package=SpatialVS
Description: CRAN Package 'SpatialVS' (Spatial Variable Selection)
 Perform variable selection for the spatial Poisson regression model under
 the adaptive elastic net penalty. Spatial count data with covariates is the
 input. We use a spatial Poisson regression model to link the spatial counts
 and covariates. For maximization of the likelihood under adaptive elastic
 net penalty, we implemented the penalized quasi-likelihood (PQL) and the
 approximate penalized loglikelihood (APL) methods. The proposed methods can
 automatically select important covariates, while adjusting for possible
 spatial correlations among the responses. More details are available in Xie
 et al. (2018, <arXiv:1809.06418>). The package also contains the Lyme
 disease dataset, which consists of the disease case data from 2006 to 2011,
 and demographic data and land cover data in Virginia. The Lyme disease case
 data were collected by the Virginia Department of Health. The demographic
 data (e.g., population density, median income, and average age) are from the
 2010 census. Land cover data were obtained from the Multi-Resolution Land
 Cover Consortium for 2006.

Package: r-cran-spatialvx
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3873
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-fields, r-cran-smoothie, r-cran-smatr, r-cran-turboem, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-spatstat.model, r-cran-distillery, r-cran-maps, r-cran-boot, r-cran-circstats, r-cran-fastcluster, r-cran-waveslim
Filename: pool/dists/focal/main/r-cran-spatialvx_1.0-3-1.ca2004.1_all.deb
Size: 3873380
MD5sum: a2da5270ac910014b9995fa6b88bdcb4
SHA1: 2366e1bd6e9f08176d55f9564237ee0ae6914276
SHA256: 93bd10aa1da5fd000e766fd6f3177ad3cd75e0fa8a21dc399c0cff9476d94a91
SHA512: 111e757e266b420b61c30eb136f0f1334eaf33ddc1084de33e522c9646e7bba7996bb6def2fdac4d0188421986812ef2c09f13a84ac66dc4d79854d7ef7edf24
Homepage: https://cran.r-project.org/package=SpatialVx
Description: CRAN Package 'SpatialVx' (Spatial Forecast Verification)
 Spatial forecast verification refers to verifying weather forecasts when the
 verification set (forecast and observations) is on a spatial field, usually
 a high-resolution gridded spatial field.  Most of the functions here require
 the forecast and observed fields to be gridded and on the same grid. For a
 thorough review of most of the methods in this package, please see Gilleland
 et al. (2009) <doi: 10.1175/2009WAF2222269.1> and for a tutorial on some of
 the main functions available here, see Gilleland (2022) <doi:
 10.5065/4px3-5a05>.

Package: r-cran-spats
Architecture: all
Version: 1.0-19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields, r-cran-spam, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-spats_1.0-19-1.ca2004.1_all.deb
Size: 182356
MD5sum: 5fb40b77bc2c4bdc92c5d82348bac8e4
SHA1: e7e3fe96bcffec42c6527f240a9bb5c3f00dc420
SHA256: 9b86df164d0e3c5fd2a7398ee5355e5d61fd7088063a1d85842af6d7fc1b3d2a
SHA512: f535b43e29d1f3b5f390ca0d9345837f4ac7f8de62b1dceb167ef270c3bb6a600b554f0635960255062891e2619e72959b3c5559eb9ac2db44a65f7cba21ac82
Homepage: https://cran.r-project.org/package=SpATS
Description: CRAN Package 'SpATS' (Spatial Analysis of Field Trials with Splines)
 Analysis of field trial experiments by modelling spatial trends using
 two-dimensional Penalised spline (P-spline) models.

Package: r-cran-spatsoc
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1903
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adehabitathr, r-cran-data.table, r-cran-igraph, r-cran-sf, r-cran-units
Suggests: r-cran-asnipe, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spatsoc_0.2.2-1.ca2004.1_all.deb
Size: 713872
MD5sum: cf36a59857f69b9f4425b4b107e1a908
SHA1: f7aceaf5c0c8a838cad81878de8262eac8bbd823
SHA256: 15b1c358373ef790f6e40816cca875241e35e020eec14aa2034855d29f128c79
SHA512: 52b54cb12a93d34a47d73841d3b8ec5d3e760ee3e149016643ef1a5c43334ea005cc5df6e39bd0ff1bdbd3795e180775b84b44cbfa535055e9f1400d5040c33a
Homepage: https://cran.r-project.org/package=spatsoc
Description: CRAN Package 'spatsoc' (Group Animal Relocation Data by Spatial and TemporalRelationship)
 Detects spatial and temporal groups in GPS relocations (Robitaille et al.
 (2019) <doi:10.1111/2041-210X.13215>).  It can be used to convert GPS
 relocations to gambit-of-the-group format to build proximity-based social
 networks In addition, the randomizations function provides data-stream
 randomization methods suitable for GPS data.

Package: r-cran-spatstat.data
Architecture: all
Version: 3.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4326
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.utils, r-cran-matrix
Suggests: r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat.linnet
Filename: pool/dists/focal/main/r-cran-spatstat.data_3.1-6-1.ca2004.1_all.deb
Size: 4190056
MD5sum: 8f580b6c3900ec441ba848ebd220e82e
SHA1: e165062d553d13514de65b8c37e150a61b256611
SHA256: 812d375e249f99c39f4ed1daeb8fabbcc5b006d5ecc08d9b4a2f0ffb855b4eda
SHA512: 45de43c0c304e72e99c6b2beecc501d74a7567b122bac737b123885f004b44ae02db1fd8b989f0fb1bbf67167370513c98dfdd1bbaeb40e18c1482462f945a2f
Homepage: https://cran.r-project.org/package=spatstat.data
Description: CRAN Package 'spatstat.data' (Datasets for 'spatstat' Family)
 Contains all the datasets for the 'spatstat' family of packages.

Package: r-cran-spatstat.gui
Architecture: all
Version: 3.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.data, r-cran-spatstat.univar, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat.linnet, r-cran-spatstat, r-cran-rpanel, r-cran-spatstat.utils
Filename: pool/dists/focal/main/r-cran-spatstat.gui_3.1-0-1.ca2004.1_all.deb
Size: 78916
MD5sum: fdeaba782497ca326ab12e2cf1f7d510
SHA1: cd5d75a1a7bd8093e1f895b38218cd3027d75c2b
SHA256: 7b5adcea7ed1db312732b2ca3a7abe674610bb969a3d4c70dd56e1d62ab85d42
SHA512: 744b430366b717024a7d15e6d221ac915d77dac5943c79b04f3babcedccbfa9c55cc5a05530267f22507ef0356e0f1e6d0fed0453c460a1553575048f7981c3f
Homepage: https://cran.r-project.org/package=spatstat.gui
Description: CRAN Package 'spatstat.gui' (Interactive Graphics Functions for the 'spatstat' Package)
 Extension to the 'spatstat' package, containing interactive graphics
 capabilities.

Package: r-cran-spatstat.local
Architecture: all
Version: 5.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 379
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat.data, r-cran-spatstat.univar, r-cran-spatstat.sparse, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat, r-cran-tensor, r-cran-spatstat.utils
Filename: pool/dists/focal/main/r-cran-spatstat.local_5.1-0-1.ca2004.1_all.deb
Size: 348188
MD5sum: 315a9a47362379564d34d79f79c1f20b
SHA1: c3dd0391f15e6fe7ad226591e9f65a21e40432f7
SHA256: eadedd12b868c1ad2c8607d307f5bc7cef22d2ed1ade57bc616461a95830dafa
SHA512: cd5de78cdb5258d9a2f529b72560c621c8dc9386f48f09a7198dd30eca44116e5199fef47e6141a1ad72a25857534f9bef1c90a818d28cfad9fb41ab5c6440c6
Homepage: https://cran.r-project.org/package=spatstat.local
Description: CRAN Package 'spatstat.local' (Extension to 'spatstat' for Local Composite Likelihood)
 Extension to the 'spatstat' package, enabling the user to fit point process
 models to point pattern data by local composite likelihood ('geographically
 weighted regression').

Package: r-cran-spatstat
Architecture: all
Version: 3.3-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5277
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-spatstat.data, r-cran-spatstat.univar, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-spatstat.model, r-cran-spatstat.linnet, r-cran-spatstat.utils
Filename: pool/dists/focal/main/r-cran-spatstat_3.3-3-1.ca2004.1_all.deb
Size: 4167280
MD5sum: 5ed4f16bad718e37b19030fda36e8fc7
SHA1: 0d3dd0b075de91c17eb15b0e8464c8b1ffcbc4ff
SHA256: 793b988a157215c514b22eceb37998724da8623573de7cec6f9746dbeb0d5036
SHA512: e8673d122ba521c7e3a7afa421ad5aee876aac5303b8335f802469671b0297d87b14c03526f432f89069a9d6ab20f3fec04821df3302a4635d2d9c2c34ff77d3
Homepage: https://cran.r-project.org/package=spatstat
Description: CRAN Package 'spatstat' (Spatial Point Pattern Analysis, Model-Fitting, Simulation, Tests)
 Comprehensive open-source toolbox for analysing Spatial Point Patterns.
 Focused mainly on two-dimensional point patterns, including multitype/marked
 points, in any spatial region. Also supports three-dimensional point
 patterns, space-time point patterns in any number of dimensions, point
 patterns on a linear network, and patterns of other geometrical objects.
 Supports spatial covariate data such as pixel images.  Contains over 3000
 functions for plotting spatial data, exploratory data analysis,
 model-fitting, simulation, spatial sampling, model diagnostics, and formal
 inference.  Data types include point patterns, line segment patterns,
 spatial windows, pixel images, tessellations, and linear networks.
 Exploratory methods include quadrat counts, K-functions and their simulation
 envelopes, nearest neighbour distance and empty space statistics, Fry plots,
 pair correlation function, kernel smoothed intensity, relative risk
 estimation with cross-validated bandwidth selection, mark correlation
 functions, segregation indices, mark dependence diagnostics, and kernel
 estimates of covariate effects. Formal hypothesis tests of random pattern
 (chi-squared, Kolmogorov-Smirnov, Monte Carlo, Diggle-Cressie-Loosmore-Ford,
 Dao-Genton, two-stage Monte Carlo) and tests for covariate effects
 (Cox-Berman-Waller-Lawson, Kolmogorov-Smirnov, ANOVA) are also supported.
 Parametric models can be fitted to point pattern data using the functions
 ppm(), kppm(), slrm(), dppm() similar to glm(). Types of models include
 Poisson, Gibbs and Cox point processes, Neyman-Scott cluster processes, and
 determinantal point processes. Models may involve dependence on covariates,
 inter-point interaction, cluster formation and dependence on marks. Models
 are fitted by maximum likelihood, logistic regression, minimum contrast, and
 composite likelihood methods.  A model can be fitted to a list of point
 patterns (replicated point pattern data) using the function mppm(). The
 model can include random effects and fixed effects depending on the
 experimental design, in addition to all the features listed above.  Fitted
 point process models can be simulated, automatically. Formal hypothesis
 tests of a fitted model are supported (likelihood ratio test, analysis of
 deviance, Monte Carlo tests) along with basic tools for model selection
 (stepwise(), AIC()) and variable selection (sdr). Tools for validating the
 fitted model include simulation envelopes, residuals, residual plots and Q-Q
 plots, leverage and influence diagnostics, partial residuals, and added
 variable plots.

Package: r-cran-spatsurv
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 981
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-sp, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-raster, r-cran-iterators, r-cran-fields, r-cran-matrix, r-cran-stringr, r-cran-sf, r-cran-rcolorbrewer, r-cran-lubridate
Suggests: r-cran-rgl
Filename: pool/dists/focal/main/r-cran-spatsurv_2.0-1-1.ca2004.1_all.deb
Size: 919492
MD5sum: 00a0288ee00b10a1fcd60ae32f247e21
SHA1: c4240c669239c4e0fd5817646172fdd80430f91b
SHA256: 26673cdf99446e81a060498c929cc1e4a14fcd1a12e63c8c325e53a4d19bb02a
SHA512: ca3dd92e8a0cee3e687b63e9989a735cbab767b47f2c2c5d10a498b6f9cca268836dce9b59d8fc45631ee20a472c793613185adcfcb73f55092792ff8b3692b3
Homepage: https://cran.r-project.org/package=spatsurv
Description: CRAN Package 'spatsurv' (Bayesian Spatial Survival Analysis with Parametric ProportionalHazards Models)
 Bayesian inference for parametric proportional hazards spatial survival
 models; flexible spatial survival models. See Benjamin M. Taylor, Barry S.
 Rowlingson (2017) <doi:10.18637/jss.v077.i04>.

Package: r-cran-spb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-spb_1.0-1.ca2004.1_all.deb
Size: 35388
MD5sum: 3e781c2c578238739c48ac0ea79b19db
SHA1: cba4f70e10c7de8d3ac6f3a872f7c4ff203b0cad
SHA256: 5cd05ea94d0f60dfc6aac620e0dfe7ef40cfc8fcc94b458a4be234be5c39be98
SHA512: 199473c89ceba9880ba04392e8f9b408a6e12274f3d0b1e8f5463b84b8a2abd1121d3fbed2d4bba7d54dc6d60e537ba2bef669911e67457003fbe7457e131452
Homepage: https://cran.r-project.org/package=SPB
Description: CRAN Package 'SPB' (Simple Progress Bars for Procedural Coding)
 Provides a simple progress bar to use for basic and advanced users that
 suits all those who prefer procedural programming. It is especially useful
 for integration into markdown files thanks to the progress bar's
 customisable appearance.

Package: r-cran-spbabel
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 915
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-sp, r-cran-tibble, r-cran-rlang, r-cran-pkgconfig
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-raster, r-cran-sf, r-cran-rmarkdown, r-cran-covr, r-cran-trip, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-spbabel_0.6.0-1.ca2004.1_all.deb
Size: 853340
MD5sum: bd51ca18cf92ae4c6c6dd761616b7955
SHA1: baf2e2f339da790bdff784f85b2ce5245bae7859
SHA256: 8d78a55dafcada87a244f9abf717a1b19a5feef48646b412eeabc9bf905982be
SHA512: 69e002aaf482ee4fb10885715d740e4e7cb1fc7b41254702901feaadd0dcab94a1297fcdd0a2b1a85fe18cc5b4ac92d6a8c8212fb4c53aea8467c37aab713c88
Homepage: https://cran.r-project.org/package=spbabel
Description: CRAN Package 'spbabel' (Convert Spatial Data Using Tidy Tables)
 Tools to convert from specific formats to more general forms of spatial
 data. Using tables to store the actual entities present in spatial data
 provides flexibility, and the functions here deliberately minimize the level
 of interpretation applied, leaving that for specific applications. Includes
 support for simple features, round-trip for 'Spatial' classes and long-form
 tables, analogous to 'ggplot2::fortify'. There is also a more 'normal form'
 representation that decomposes simple features and their kin to tables of
 objects, parts, and unique coordinates.

Package: r-cran-spc4sts
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rpart, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-spc4sts_0.6.3-1.ca2004.1_all.deb
Size: 131528
MD5sum: 2a9032016b07b160ae3fcd4065d4b675
SHA1: 421d5ed503e662cde9e6882aa28b46359a73aa6f
SHA256: 98ebd41c890f363b7c1edc67b71a96bbdb98ed9aa0ec0c82432016b5e3b7d225
SHA512: 689cdbe0008cbb5918ecf2f43fe3328803b0a689a54e7612aa3f574dc089d8cd30b1f66b2e76ab19c5b9127f23d21c077a4afe2ca57b29d81eff6c7e878d1f23
Homepage: https://cran.r-project.org/package=spc4sts
Description: CRAN Package 'spc4sts' (Statistical Process Control for Stochastic Textured Surfaces)
 Provides statistical process control tools for stochastic textured surfaces.
 The current version supports the following tools: (1) generic modeling of
 stochastic textured surfaces.  (2) local defect monitoring and diagnostics
 in stochastic textured surfaces, which was proposed by Bui and Apley (2018a)
 <doi:10.1080/00401706.2017.1302362>.  (3) global change monitoring in the
 nature of stochastic textured surfaces, which was proposed by Bui and Apley
 (2018b) <doi:10.1080/00224065.2018.1507559>.  (4) computation of
 dissimilarity matrix of stochastic textured surface images, which was
 proposed by Bui and Apley (2019b) <doi:10.1016/j.csda.2019.01.019>.

Package: r-cran-spcadjust
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 918
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spcadjust_1.1-1.ca2004.1_all.deb
Size: 558364
MD5sum: 970f5478d17b2f44957b9f601d2b7c75
SHA1: f1c4e212fee0be42bee76155360a11dcf9026726
SHA256: da2ff70333fd2da8f1f46d92c7cb662cb9268583ec9f782f6e06eaf7aed070a6
SHA512: 215cd945f3ac1b1d44449c5b96e2ddee1d105133ec88241760314c8c3744c8a8c7fb7dbcc354cd33ed02a38c8e44a1dffe7a50801a85f5ce6f6ed85a335f73df
Homepage: https://cran.r-project.org/package=spcadjust
Description: CRAN Package 'spcadjust' (Functions for Calibrating Control Charts)
 Calibration of thresholds of control charts such as CUSUM charts based on
 past data, taking estimation error into account.

Package: r-cran-spcalda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-spcalda_1.0-1.ca2004.1_all.deb
Size: 20908
MD5sum: 3c9589c3cbd50032c747333c49de174a
SHA1: de3664ac1ddcdca09f478e5339d9127511f84d5b
SHA256: b67ea9287eccc41bca13e64fe9d192a37c0ffeed91b012db807452afb507f335
SHA512: aa5d3969d1f2e71d53b9ca2857c6f3b0ae466b31c263e29ee07186a927e3e010cbb43adbaee1f3ed6034f3e41943fd94e556a875a08ae9d3b7fe76bab89da710
Homepage: https://cran.r-project.org/package=SPCALDA
Description: CRAN Package 'SPCALDA' (A New Reduced-Rank Linear Discriminant Analysis Method)
 A new reduced-rank LDA method which works for high dimensional multi-class
 data.

Package: r-cran-spcavrp
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-spcavrp_0.4-1.ca2004.1_all.deb
Size: 44836
MD5sum: e42ef4f4f595da27bd8ff8e5e8da3dcc
SHA1: 1d9efc88b826c5facad3b859a3ce0b5889532b06
SHA256: f78979bf7a2bf1d84a926609c8746318a2072be1ca9852a7e1dcdab8870ff560
SHA512: 6efd9ca62e22180076e2191de10f682a832c14e0f5a73c35c6edbff390676e556338336a786acd39af120a9d3c1a7d62bbd2aac50d1d516365bad811cf76656b
Homepage: https://cran.r-project.org/package=SPCAvRP
Description: CRAN Package 'SPCAvRP' (Sparse Principal Component Analysis via Random Projections(SPCAvRP))
 Implements the SPCAvRP algorithm, developed and analysed in "Sparse
 principal component analysis via random projections" Gataric, M., Wang, T.
 and Samworth, R. J. (2018) <arXiv:1712.05630>. The algorithm is based on the
 aggregation of eigenvector information from carefully-selected random
 projections of the sample covariance matrix.

Package: r-cran-spcdanalyze
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme, r-cran-lme4, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-spcdanalyze_0.1.0-1.ca2004.1_all.deb
Size: 52092
MD5sum: 8446436314dfde8ff48e205880fdea30
SHA1: 3dfc5ee7b733e5efaaea01100dc4b63269ebb1c7
SHA256: 24b277396dc73da838d6e9b24ec255dc60ac2bf86d97893f4f0be92e46cdaf59
SHA512: 41042f04c0bfe3cad735f6492989a9a6276cf63164d3f2a910cdf9ce2f301d50708fa6f463a2534f7f56c40b5de4c27940d05ede93aa803289fcb915fe439669
Homepage: https://cran.r-project.org/package=SPCDAnalyze
Description: CRAN Package 'SPCDAnalyze' (Design and Analyze Studies using the Sequential ParallelComparison Design)
 Programs to find the sample size or power of studies using the Sequential
 Parallel Comparison Design (SPCD) and programs to analyze such studies. This
 is a clinical trial design where patients initially on placebo who did not
 respond are re-randomized between placebo and active drug in a second phase
 and the results of the two phases are pooled. The method of analyzing binary
 data with this design is described in Fava,Evins, Dorer and Schoenfeld(2003)
 <doi:10.1159/000069738>, and the method of analyzing continuous data is
 described in Chen, Yang, Hung and Wang (2011)
 <doi:10.1016/j.cct.2011.04.006>.

Package: r-cran-spcompute
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 436
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spcompute_1.0.3-1.ca2004.1_all.deb
Size: 363424
MD5sum: 5e696ee44ad816d78813cb1bbb89d369
SHA1: 5911b22a91392219bb859a509ebb1a00bbe23f4d
SHA256: c3dfc3ad013685b5c8e412e051db26327066f8edd8161e82d914168d77dc6781
SHA512: 874c967b7ad77b71fab3c2555fb7d69662a79c4965e0738a8135748cb73fbd05ed0671d28019066fc91801f852e9177f8fe256f8e7b8a47cd16e5beec5d6109b
Homepage: https://cran.r-project.org/package=SPCompute
Description: CRAN Package 'SPCompute' (Compute Power or Sample Size for GWAS with Covariate Effect)
 Fast computation of the required sample size or the achieved power, for GWAS
 studies with different types of covariate effects and different types of
 covariate-gene dependency structure.  For the detailed description of the
 methodology, see Zhang (2022) "Power and Sample Size Computation for Genetic
 Association Studies of Binary Traits: Accounting for Covariate Effects"
 <arXiv:2203.15641>.

Package: r-cran-spconf
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flexclust, r-cran-mgcv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spconf_1.0.1-1.ca2004.1_all.deb
Size: 41032
MD5sum: c15f91cc57469e6891b97bad6e10b4da
SHA1: e3b1417d5fe8726c183e3637cee93f84457cdba7
SHA256: a9451b604faa4909147f0f13520ebec1297d09b558cd8662cca03de56502e3d3
SHA512: 5b15b2c8dab9ff550594a7adcc2e8771a0ccb54c64f16a9d6aa4fdf1a2848b4907728e60fcf79b65d7dc84239ff2239d39f5c17a6a96cb3e7d3bdbad6cbbdbb0
Homepage: https://cran.r-project.org/package=spconf
Description: CRAN Package 'spconf' (Computing Scales of Spatial Smoothing for Confounding Adjustment)
 Computes the effective range of a smoothing matrix, which is a measure of
 the distance to which smoothing occurs.  This is motivated by the
 application of spatial splines for adjusting for unmeasured spatial
 confounding in regression models, but the calculation of effective range can
 be applied to smoothing matrices in other contexts. For algorithmic details,
 see Rainey and Keller (2024) "spconfShiny: an R Shiny application..."
 <doi:10.1371/journal.pone.0311440> and Keller and Szpiro (2020) "Selecting a
 Scale for Spatial Confounding Adjustment" <doi:10.1111/rssa.12556>.

Package: r-cran-spcosa
Architecture: all
Version: 0.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rjava, r-cran-sp, r-cran-ggplot2
Suggests: r-cran-runit, r-cran-sf, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spcosa_0.4-4-1.ca2004.1_all.deb
Size: 312316
MD5sum: bce23e29201b7163cb1cd13e25e37f3e
SHA1: 4bf358ffda07e994800bc3c401fb0cf2bd4d0833
SHA256: 263c24925f49d091d5dfb1e993faf2968150049656dc6798531d5a815c39eb06
SHA512: 7d1fce4902d882dea1ec88a36dbcffa4cd52f29c44bd96ef242f9af01ae164eda35e0c138d40cce8439946ee55b5095fcc278a956ac3cfd1001d2eaf9fb9bb8e
Homepage: https://cran.r-project.org/package=spcosa
Description: CRAN Package 'spcosa' (Spatial Coverage Sampling and Random Sampling from CompactGeographical Strata)
 Spatial coverage sampling and random sampling from compact geographical
 strata created by k-means. See Walvoort et al. (2010)
 <doi:10.1016/j.cageo.2010.04.005> for details.

Package: r-cran-spcov
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spcov_1.3-1.ca2004.1_all.deb
Size: 36868
MD5sum: 9b952a7d8d255ae692ebb99ce06bdede
SHA1: 90436dcc98f0f40312596a158aeab0657f2aa8d4
SHA256: 131a736a1981b7a506c8d686b3a8babf15ef4e2466cbf5818e1ff7f99a2fb443
SHA512: 3b8a8b4f2a5ce04e8da6ee29ce67528cffadd59e6ccc43c0f2b3867655d5cb712ab3dc537dca1810ba507c7221db9f13ee349d14f702735ec0de96d72138f83b
Homepage: https://cran.r-project.org/package=spcov
Description: CRAN Package 'spcov' (Sparse Estimation of a Covariance Matrix)
 Provides a covariance estimator for multivariate normal data that is sparse
 and positive definite.  Implements the majorize-minimize algorithm described
 in Bien, J., and Tibshirani, R. (2011), "Sparse Estimation of a Covariance
 Matrix," Biometrika. 98(4). 807--820.

Package: r-cran-spd
Architecture: all
Version: 2.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-spd_2.0-1-1.ca2004.1_all.deb
Size: 215388
MD5sum: a56b4025613dfeb6621469f8f6057219
SHA1: 7fa28db4979137254322277d03f2d097901e56cd
SHA256: 0124a1b661d0b20d84673cceb16afa9a739f6885c41d6d87bd6891de71c30fdd
SHA512: 166023acddbd2c51f70f1e01ae57e46fe4220bea3cc808d38808564c289324e7ba37654b7086bfb5ab8578604215a8f728dfe3b573ec7317749ccedc1ac41fe0
Homepage: https://cran.r-project.org/package=spd
Description: CRAN Package 'spd' (Semi Parametric Distribution)
 The Semi Parametric Piecewise Distribution blends the Generalized Pareto
 Distribution for the tails with a kernel based interior.

Package: r-cran-spdata
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6648
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp
Suggests: r-cran-foreign, r-cran-sf, r-cran-spdep, r-cran-spatialreg
Filename: pool/dists/focal/main/r-cran-spdata_2.3.4-1.ca2004.1_all.deb
Size: 3647364
MD5sum: 5bdbc63614053b8e297a902f57e359ad
SHA1: 5df69860603b7de7c96e5b1aa2d7d553952ad8f3
SHA256: 1a89e62a9458a25a987d939e4fb682404d136afa359006cdbc1c11071730946c
SHA512: c4fb76096704b4d97fe21564400ac5dd2171d1e5ac2580120db4b5967138781409eddedf15a5a07d090184bca22f0402540c2aa7610e5698ed550181b6fd446f
Homepage: https://cran.r-project.org/package=spData
Description: CRAN Package 'spData' (Datasets for Spatial Analysis)
 Diverse spatial datasets for demonstrating, benchmarking and teaching
 spatial data analysis.  It includes R data of class sf (defined by the
 package 'sf'), Spatial ('sp'), and nb ('spdep').  Unlike other spatial data
 packages such as 'rnaturalearth' and 'maps', it also contains data stored in
 a range of file formats including GeoJSON and GeoPackage, but from version
 2.3.4, no longer ESRI Shapefile - use GeoPackage instead.  Some of the
 datasets are designed to illustrate specific analysis techniques.
 cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate
 point pattern analysis techniques.

Package: r-cran-spdates
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5985
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcarbon, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-raster, r-cran-smatr, r-cran-viridislite, r-cran-magrittr, r-cran-rlang, r-cran-sp, r-cran-gstat
Filename: pool/dists/focal/main/r-cran-spdates_1.1-1.ca2004.1_all.deb
Size: 5099200
MD5sum: 6d82c674e85c47a9a814d4628d6d5e53
SHA1: c02ed7550b386ed7478332b719e91e0d92267c0d
SHA256: c4b45cf3138805364cb66c4cec1ba8421d9b375715e267f8fa6bda6ef300413f
SHA512: 8e26b1495ce5e1c2a4c9d7f66816bb715fcbdd9ebba111cb808bfd87a60ba156bd25c1329aa4aa53a5080e9c7fed6f1143c311332f9733a2e7d88940951c8c1a
Homepage: https://cran.r-project.org/package=spDates
Description: CRAN Package 'spDates' (Analysis of Spatial Gradients in Radiocarbon Dates)
 Inspired by space-time regressions often performed to assess the expansion
 of the Neolithic from the Near East to Europe (Pinhasi et al. 2005
 <doi:10.1371/journal.pbio.0030410>). Test for significant correlations
 between the (earliest) radiocarbon dates of archaeological sites and their
 respective distances from a hypothetical center of origin.  Both ordinary
 least squares (OLS) and reduced major axis (RMA) methods are supported
 (Russell et al. 2014 <doi:10.1371/journal.pone.0087854>).  It is also
 possible to iterate over many sites to identify the most likely origin.

Package: r-cran-spdesign
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-cli, r-cran-future, r-cran-randtoolbox, r-cran-matrixstats, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spdesign_0.0.5-1.ca2004.1_all.deb
Size: 294584
MD5sum: cf02b593bd42768b745382bd8935214e
SHA1: b705ef6d3006a7a1753234243b2fa883b3db1f51
SHA256: 256ec773f4e5ca0e78408eb528c3c9c52dfcdfe5f6270e99dac19e3a9787f98d
SHA512: 51f5b816a865455f6d8bb3d171887bd39d7ae3f9ce4f00d6d098ab603f8228790669f98fab678fd66bcd9df973fd5367001bd21c84ef984dfcd477d68f94953e
Homepage: https://cran.r-project.org/package=spdesign
Description: CRAN Package 'spdesign' (Designing Stated Preference Experiments)
 Contemporary software commonly used to design stated preference experiments
 are expensive and the code is closed source. This is a free software package
 with an easy to use interface to make flexible stated preference
 experimental designs using state-of-the-art methods. For an overview of
 stated choice experimental design theory, see e.g., Rose, J. M. & Bliemer,
 M. C. J. (2014) in Hess S. & Daly. A. <doi:10.4337/9781781003152>. The
 package website can be accessed at <https://spdesign.edsandorf.me>. We
 acknowledge funding from the European Union’s Horizon 2020 research and
 innovation program under the Marie Sklodowska-Curie grant INSPiRE (Grant
 agreement ID: 793163).

Package: r-cran-spdl
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rcppspdlog
Filename: pool/dists/focal/main/r-cran-spdl_0.0.5-1.ca2004.1_all.deb
Size: 17688
MD5sum: 20fca3623919b9eab758f11761179836
SHA1: 1823f5f4c3ecbcea932cd8aa6733365d44f61ec6
SHA256: 683e04374128828c1a98878cd9009695de031a36b291f3c1e6786d7f1e61a079
SHA512: 1472b920149aac8561d32c8f39f8808a63b34c3ab010728a850def5d0940b86b1dc74314cacdcb4cd0116fe43af363bee76451bbb2af7b67b25bea8030e7f967
Homepage: https://cran.r-project.org/package=spdl
Description: CRAN Package 'spdl' (Easier Use of 'RcppSpdlog' Functions via Wrapper)
 Logging functions in 'RcppSpdlog' provide access to the logging
 functionality from the 'spdlog' 'C++' library. This package offers shorter
 convenience wrappers for the 'R' functions which match the 'C++' functions,
 namely via, say, 'spdl::debug()' at the debug level. The actual formatting
 is done by the 'fmt::format()' function from the 'fmtlib' library (that is
 also 'std::format()' in 'C++20' or later).

Package: r-cran-spdownscale
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spdownscale_0.1.0-1.ca2004.1_all.deb
Size: 107620
MD5sum: 14f31aa725bc0938196d91ce969c27c7
SHA1: 33b7681edb71785c12005224d60dd73aad62ba55
SHA256: 9b2018a4901755e2da06115c9bc3ff91b64544c3fd3bfefb84fe17b1eea3d6c3
SHA512: ef81bcf0adc3ae033fdade49b01d6d55a3fc1c8bef7d2435bed20014e30c81edfff70e4928f907064037316cba9c1f42eb750731e4316f3a63b3b71a8e0d0f41
Homepage: https://cran.r-project.org/package=spdownscale
Description: CRAN Package 'spdownscale' (Spatial Downscaling Using Bias Correction Approach)
 Spatial downscaling of climate data (Global Circulation Models/Regional
 Climate Models) using quantile-quantile bias correction technique.

Package: r-cran-spdplyr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-sp, r-cran-rlang, r-cran-spbabel, r-cran-tibble
Suggests: r-cran-testthat, r-cran-maptools, r-cran-raster, r-cran-rmarkdown, r-cran-knitr, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-spdplyr_0.4.0-1.ca2004.1_all.deb
Size: 456632
MD5sum: 18cbe0c697e788824317b6664964ab82
SHA1: e46a21879c04381713185a0342f97a589e455137
SHA256: e3f5e6af6ee920f849234e238c8f59d4b5e25afe294df8aff188c2201fd1c775
SHA512: a54b61b96144b236ed4d1b33008144550a626842bd851b4bebf75489cea8c566e368928fc43f603a23e71bb9a67aad95639e957e836c0101da61b6076851e0fa
Homepage: https://cran.r-project.org/package=spdplyr
Description: CRAN Package 'spdplyr' (Data Manipulation Verbs for the Spatial Classes)
 Methods for 'dplyr' verbs for 'sp' 'Spatial' classes. The basic verbs that
 modify data attributes, remove or re-arrange rows are supported and provide
 complete 'Spatial' analogues of the input data. The group by and summarize
 work flow returns a non-topological spatial union. There is limited support
 for joins, with left and inner to copy attributes from another table.

Package: r-cran-spdynmod
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1880
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-sp, r-cran-desolve, r-cran-animation
Suggests: r-cran-knitr, r-cran-roxygen2, r-cran-igraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spdynmod_1.1.6-1.ca2004.1_all.deb
Size: 441288
MD5sum: ca38530a9da7c37e273ce59b17593b70
SHA1: bcd3521ae0969deb537e84bd633fc1785959f1e1
SHA256: ad064c17ea610b1a9eab477866e3d96609ffa633e1655c2dcbde954f3f39465f
SHA512: a6b164f0b4ba1a1da02ee5934e03e5447c36d763997f5e7895cee26d91d219816e50ce5d3ed65a5be4ad16d49ba604b8eeae76bf1902af502fa5a9ffc8452478
Homepage: https://cran.r-project.org/package=spdynmod
Description: CRAN Package 'spdynmod' (Spatio-Dynamic Wetland Plant Communities Model)
 A spatio-dynamic modelling package that focuses on three characteristic
 wetland plant communities in a semiarid Mediterranean wetland in response to
 hydrological pressures from the catchment. The package includes the data on
 watershed hydrological pressure and the initial raster maps of plant
 communities but also allows for random initial distribution of plant
 communities. For more detailed info see: Martinez-Lopez et al. (2015)
 <doi:10.1016/j.ecolmodel.2014.11.024>.

Package: r-cran-speakr
Architecture: all
Version: 3.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-lifecycle, r-cran-quarto, r-cran-readr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-speakr_3.2.4-1.ca2004.1_all.deb
Size: 287072
MD5sum: f8ad8ed4d280ddaba397fb5872170236
SHA1: 9f95296e46daf8d3a277e05cfc6979b9f54167d4
SHA256: 86afa1fc8f3939ac98414a8bf7f6f12ed8b179ebc4679449318ef2876c87a5aa
SHA512: b8f0e1dd1a3814c74283434415f15aff2d8d31d98049886e627d6ca9d7600d3a595d4c0e3bab727bb18b7032d7c50c68e059fa2884608a12a5766a1b693d2344
Homepage: https://cran.r-project.org/package=speakr
Description: CRAN Package 'speakr' (A Wrapper for the Phonetic Software 'Praat')
 It allows running 'Praat' scripts from R and it provides some wrappers for
 basic plotting. It also adds support for literate markdown tangling. The
 package is designed to bring reproducible phonetic research into R.

Package: r-cran-speaq
Architecture: all
Version: 2.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4552
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-massspecwavelet, r-cran-cluster, r-cran-dosnow, r-cran-data.table, r-cran-foreach, r-cran-rfast, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2, r-cran-rvest, r-cran-xml2, r-cran-missforest, r-bioc-impute
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridbase
Filename: pool/dists/focal/main/r-cran-speaq_2.7.0-1.ca2004.1_all.deb
Size: 3532012
MD5sum: 2cbc264e866be531c575985f33483b07
SHA1: b977443db9efffe14a818eeb2f1dba45f5667dcc
SHA256: 1f8749df1dd82099364cb2c2e802793a26d87d6222b7079dc53dccb91d9a316b
SHA512: fd82a08742c428b513907d65ec0ec96514085515cd017ebf1e6235c056af43f0c286e3f1aa251571453dc2acc44bf17dd332c842d27254eef38178df9295b70d
Homepage: https://cran.r-project.org/package=speaq
Description: CRAN Package 'speaq' (Tools for Nuclear Magnetic Resonance (NMR) Spectra Alignment,Peak Based Processing, Quantitative Analysis and Visualizations)
 Makes Nuclear Magnetic Resonance spectroscopy (NMR spectroscopy) data
 analysis as easy as possible by only requiring a small set of functions to
 perform an entire analysis. 'speaq' offers the possibility of raw spectra
 alignment and quantitation but also an analysis based on features whereby
 the spectra are converted to peaks which are then grouped and turned into
 features. These features can be processed with any number of statistical
 tools either included in 'speaq' or available elsewhere on CRAN. More
 details can be found in Vu et al. (2011) <doi:10.1186/1471-2105-12-405> and
 Beirnaert et al. (2018) <doi:10.1371/journal.pcbi.1006018>.

Package: r-cran-spearmanci
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-emplik, r-cran-mass
Filename: pool/dists/focal/main/r-cran-spearmanci_1.1-1.ca2004.1_all.deb
Size: 58988
MD5sum: 8fad5b909e883ff2e4f0a0b3ed230087
SHA1: d13fd7ed9dd59d2a8961c3e85791a43147409d0d
SHA256: cd45cd4e9fa1fb9f5b039c250405323b515eafb778c0597fb164afe950b03f3c
SHA512: 7b19e14532bb40e4ceb3b917c09c38d6bc9525111824afe1059e85996bb71ddc339e52d7877937d8a0afbed7f7bf6406e426abe8d089de2808d5a7cb9fcf6f21
Homepage: https://cran.r-project.org/package=spearmanCI
Description: CRAN Package 'spearmanCI' (Jackknife Euclidean / Empirical Likelihood Inference forSpearman's Rho)
 Functions for conducting jackknife Euclidean / empirical likelihood
 inference for Spearman's rho (de Carvalho and Marques (2012)
 <doi:10.1080/10920277.2012.10597644>).

Package: r-cran-spec
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-encode, r-cran-csv, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-spec_0.1.9-1.ca2004.1_all.deb
Size: 102284
MD5sum: e28b8aa769e38ed13389e13c8085e2a9
SHA1: a7cedf0686a835a89df65000198095b83ccc60d9
SHA256: acc0750f55f77b02f9033d206fa541eebbceb01f664a2e20c7c717cd23567bba
SHA512: 6f3e8e10e2e1ed134257c5c081b022e49acee7f0b2f51e72081addef3b7fb91b3f62078069b21ddad68b452eff713cc870be98e9e081e2c3bdf932fbff52bac9
Homepage: https://cran.r-project.org/package=spec
Description: CRAN Package 'spec' (A Data Specification Format and Interface)
 Creates a data specification that describes the columns of a table
 (data.frame). Provides methods to read, write, and update the specification.
 Checks whether a table matches its specification. See
 specification.data.frame(),read.spec(), write.spec(), as.csv.spec(),
 respecify.character(), and %matches%.data.frame().

Package: r-cran-speccalt
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2090
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-speccalt_0.1.1-1.ca2004.1_all.deb
Size: 2059592
MD5sum: 3c48f2608e88e231f8858b9222adec5a
SHA1: b8818449a98c55e836393454119987a13784fde8
SHA256: fd23758c4021e20a5200c22dc0c16c80383bccf3e7004d1690a789e64ff21915
SHA512: afd2ec8e528753286431b4d3b1c76bd35e86094484987a2b79d88c46703805a8f3a3e583a981543212a1eac7910f772e9ee887794999ff615c8652580c1d6fa1
Homepage: https://cran.r-project.org/package=speccalt
Description: CRAN Package 'speccalt' (Alternative spectral clustering, with automatic estimation of k)
 Alternative to the kernlab::specc function. Includes a spectral clustering
 implementation, a locally adapted kernel function akin to what is already
 proposed in kernlab, and an optional procedure that automatically estimates
 the optimal number of clusters. Several sample data sets are also included.

Package: r-cran-speccurvier
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-combinat, r-cran-fixest, r-cran-pbapply, r-cran-lmtest, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-speccurvier_0.4.2-1.ca2004.1_all.deb
Size: 188616
MD5sum: 99a208376e9f39bf35641dc982144012
SHA1: 3a57a73696d91d915ebb901488ea53495710d398
SHA256: 9432f2daaebdc618e0cc47b050d92d4a0abf75f48acdc5e10dc313eed773dae3
SHA512: b704ccf4bcd860e1ec244632441be01f4e7a0da3b902a1f25f44cfd6bcebe71a6f3e48b3d6e463e30b57fab5cdc423831b0f2cef692d5fe8649bcf234b9c4c11
Homepage: https://cran.r-project.org/package=speccurvieR
Description: CRAN Package 'speccurvieR' (Easy, Fast, and Pretty Specification Curve Analysis)
 Making specification curve analysis easy, fast, and pretty. It improves upon
 existing offerings with additional features and 'tidyverse' integration.
 Users can easily visualize and evaluate how their models behave under
 different specifications with a high degree of customization. For a
 description and applications of specification curve analysis see Simonsohn,
 Simmons, and Nelson (2020) <doi:10.1038/s41562-020-0912-z>.

Package: r-cran-specdetec
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind
Filename: pool/dists/focal/main/r-cran-specdetec_1.0.0-1.ca2004.1_all.deb
Size: 63916
MD5sum: 09ef00b332c702e3b9bfc9acf69ecbe9
SHA1: 4144fbec94b29e7a88810a21654811c255e4e3be
SHA256: 253c810d8f47a20b108efce0ba9af9181a8b5461f0bc44168754b4821d736b08
SHA512: d104d6b29bbc9253309308b1b016f0dc97fbeea4c46170da11391c14f9fdc855b5bc34efb54ac6d56ed845a883a479b0b4e8be51efdf2b46537859f55f8f6d18
Homepage: https://cran.r-project.org/package=SpecDetec
Description: CRAN Package 'SpecDetec' (Change Points Detection with Spectral Clustering)
 Calculate change point based on spectral clustering with the option to
 automatically calculate the number of clusters if this information is not
 available.

Package: r-cran-spechelpers
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gsubfn, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-spechelpers_0.3.1-1.ca2004.1_all.deb
Size: 114724
MD5sum: 4c7048d82c19a88b20f769dd93bb9720
SHA1: 921b032a05a156da37369988aa997a57b59e0e29
SHA256: 675110293c7fe7e920aba356925a6e9cd01972b6053d8278ad12fbe4490b6fde
SHA512: 8279e39ad684698231184937989389ee5dd28594cc1c760b619b6f8321a9ac8dfb47e551669db7f1420f83dd64d5ac1804dfce5f47ed9ed3a06d5c70c6295d9e
Homepage: https://cran.r-project.org/package=SpecHelpers
Description: CRAN Package 'SpecHelpers' (Spectroscopy Related Utilities)
 Utility functions for spectroscopy. 1. Functions to simulate spectra for use
 in teaching or testing. 2. Functions to process files created by 'LoggerPro'
 and 'SpectraSuite' software.

Package: r-cran-specieschrom
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-colorramps, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-abind
Filename: pool/dists/focal/main/r-cran-specieschrom_1.0.0-1.ca2004.1_all.deb
Size: 100892
MD5sum: bb9b7f17901abb2169ff0b4eaa9336ff
SHA1: 69dd00791abc5c31e2e8b3dcdfa5a6ce46e242e1
SHA256: c22dd0289c3efb485abb0dad862985d542447b5d52dc3a98b01d233d4e3429f1
SHA512: 7b00cf796cf6282c978db08f37d1d78e83f6c7f7ac7e2a2284f602497a982bc4d8cf6e5697eac871efce90ca68130b3f47da3130ccce50263543f206843c946a
Homepage: https://cran.r-project.org/package=specieschrom
Description: CRAN Package 'specieschrom' (The Species Chromatogram)
 A simple method to display and characterise the multidimensional ecological
 niche of a species. The method also estimates the optimums and amplitudes
 along each niche dimension. Give also an estimation of the degree of niche
 overlapping between species. See Kleparski and Beaugrand (2022)
 <doi:10.1002/ece3.8830> for further details.

Package: r-cran-speck
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4514
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ckmeans.1d.dp, r-cran-magrittr, r-cran-matrix, r-cran-rsvd, r-cran-seurat
Suggests: r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-seuratobject, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-speck_1.0.0-1.ca2004.1_all.deb
Size: 4514216
MD5sum: b3a1d1175b6e742f980742f96fa18053
SHA1: 0af169568841aa900bf372ca92136eac7b712115
SHA256: 1ec448194dfb4d2f5da7c9f2de94ed48e216a8e20990563d94d3530f48422d5b
SHA512: 5d8c04fb6a73a8d1c95025799d3810ea2463660abfb98e6154d526bb7f1889764d2bba7c06046f49de7b745da2659609802114248c3c89a913fc3162eef38e9b
Homepage: https://cran.r-project.org/package=SPECK
Description: CRAN Package 'SPECK' (Receptor Abundance Estimation using Reduced Rank Reconstructionand Clustered Thresholding)
 Surface Protein abundance Estimation using CKmeans-based clustered
 thresholding ('SPECK') is an unsupervised learning-based method that
 performs receptor abundance estimation for single cell RNA-sequencing data
 based on reduced rank reconstruction (RRR) and a clustered thresholding
 mechanism. Seurat's normalization method is described in: Hao et al., (2021)
 <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019)
 <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018)
 <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>.
 Method for the RRR is further detailed in: Erichson et al., (2019)
 <doi:10.18637/jss.v089.i11> and Halko et al., (2009) <arXiv:0909.4061>.
 Clustering method is outlined in: Song et al., (2020)
 <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011)
 <doi:10.32614/RJ-2011-015>.

Package: r-cran-specr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3778
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-cowplot, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-ggraph, r-cran-glue, r-cran-igraph, r-cran-lifecycle, r-cran-lme4, r-cran-magrittr, r-cran-parallelly, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-broom.mixed, r-cran-gapminder, r-cran-ggridges, r-cran-knitr, r-cran-lavaan, r-cran-testthat, r-cran-tidyverse, r-cran-performance, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-specr_1.0.0-1.ca2004.1_all.deb
Size: 2331000
MD5sum: 854ca36a57585def74006b18152d970a
SHA1: c8afec4a018c92f0be757b95e0bbe200a0507bf0
SHA256: 931e368f4940e2633fe3567ed2a4319a7c0e56e8b52e9112d6936b6c30d97162
SHA512: effa6e911670c86767abf1779d838ce112a77913f2f48746a362a6544671a6c40fb970ecbcd7e10e59fa2f7645e129ac97839e7b8f45f866a567f7775d2e5151
Homepage: https://cran.r-project.org/package=specr
Description: CRAN Package 'specr' (Conducting and Visualizing Specification Curve Analyses)
 Provides utilities for conducting specification curve analyses (Simonsohn,
 Simmons & Nelson (2020, <doi: 10.1038/s41562-020-0912-z>) or multiverse
 analyses (Steegen, Tuerlinckx, Gelman & Vanpaemel, 2016, <doi:
 10.1177/1745691616658637>) including functions to setup, run, evaluate, and
 plot all specifications.

Package: r-cran-spect
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-futile.logger, r-cran-dplyr, r-cran-doparallel, r-cran-ggplot2, r-cran-survminer, r-cran-riskregression, r-cran-caret, r-cran-caretensemble, r-cran-survival, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-kernlab, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spect_1.0-1.ca2004.1_all.deb
Size: 146416
MD5sum: 9b0b78523fc8e6d4324c7159b8c77b61
SHA1: 2677d2e0370af6d900448e33f56bdf0a8b3b6715
SHA256: b662054138d155d9613f9accd6fd8002fa552e6ad4c728a55a4f5b55299d22fe
SHA512: 610aabd21bde2316edf06404572865fe533a9870030ed672dfbce9b23e17b77715d69c827151f009d0331895bc917158529064dbc4928b5735a3d90ba83e6dae
Homepage: https://cran.r-project.org/package=spect
Description: CRAN Package 'spect' (Survival Prediction Ensemble Classification Tool)
 A tool for survival analysis using a discrete time approach with ensemble
 binary classification. 'spect' provides a simple interface consistent with
 commonly used R data analysis packages, such as 'caret', a variety of
 parameter options to help facilitate search automation, a high degree of
 transparency to the end-user - all intermediate data sets and parameters are
 made available for further analysis and useful, out-of-the-box
 visualizations of model performance. Methods for transforming survival data
 into discrete-time are adapted from the 'autosurv' package by Suresh et al.,
 (2022) <doi:10.1186/s12874-022-01679-6>.

Package: r-cran-spectacles
Architecture: all
Version: 0.5-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2427
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-reshape2, r-cran-stringr, r-cran-baseline, r-cran-signal, r-cran-epir
Suggests: r-cran-caret, r-cran-pls, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-spectacles_0.5-4-1.ca2004.1_all.deb
Size: 2155276
MD5sum: fdf7053f91b2aba8e5987c76456da044
SHA1: 2b5afb6a736ff3f69fea95bee00f31431a3b9256
SHA256: 2621194311dcde51427ee80d1a5f5b02ca74a7e3dbf993a8f536b2e5eabb2853
SHA512: 69d4a67ba7af8230c6c4ed2f465989ec357cbf10c470bdb329e2e9bf60d72ef9eaeccb2b73c397a7efe24af2a70ad3a48ab931a33acedf26509bebdd30ef99cb
Homepage: https://cran.r-project.org/package=spectacles
Description: CRAN Package 'spectacles' (Storing, Manipulating and Analysis Spectroscopy and AssociatedData)
 Stores and eases the manipulation of spectra and associated data, with
 dedicated classes for spatial and soil-related data.

Package: r-cran-spectator
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geojsonsf, r-cran-httr, r-cran-sf
Suggests: r-cran-calendar, r-cran-calendr, r-cran-httptest, r-cran-knitr, r-cran-lubridate, r-cran-lutz, r-cran-maps, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spectator_0.2.0-1.ca2004.1_all.deb
Size: 104612
MD5sum: ab1ff595906d33b21d6e2ae127d91592
SHA1: a155d84b644bb62c1e69d0c5d2fdc31acb20e309
SHA256: 29a3f27a262c6e53c464371b61b2659184065103d27a203d06cae98975a7eb30
SHA512: aa0e65872571294d4013ce5f7a174657c14437561b269f7360e06525b0904ca58578b5e9d04b08c38de1a25ba46ea05e2d496626c5b5262735b9f18ee98d8203
Homepage: https://cran.r-project.org/package=spectator
Description: CRAN Package 'spectator' (Interface to the 'Spectator Earth' API)
 Provides interface to the 'Spectator Earth' API
 <https://api.spectator.earth/>, mainly for obtaining the acquisition plans
 and satellite overpasses for Sentinel-1, Sentinel-2, Landsat-8 and Landsat-9
 satellites. Current position and trajectory can also be obtained for a much
 larger set of satellites. It is also possible to search the archive for
 available images over the area of interest for a given (past) period, get
 the URL links to download the whole image tiles, or alternatively to
 download the image for just the area of interest based on selected spectral
 bands.

Package: r-cran-spectr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-foreach, r-cran-lomb
Suggests: r-cran-doparallel, r-cran-knitr, r-cran-qs, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spectr_1.0.1-1.ca2004.1_all.deb
Size: 22188
MD5sum: f5cbb9de34b2421e35ee84040128e856
SHA1: 320e11d8b2a01ad70802e7aa05160c68bb1da16e
SHA256: da00c5122f87b51b2f4e17f0f6e8d22caaa9daeffd1e981299283c29abeb6189
SHA512: dc87079cc87f88853bc58f56abdd7b4991401cad5fdafe027e613ea6ece649e0d948a510c8bfe79efd1a4af2c73692b019de9119ecb379d2d48246c3189b0013
Homepage: https://cran.r-project.org/package=spectr
Description: CRAN Package 'spectr' (Calculate the Periodogram of a Time-Course)
 Provides a consistent interface to use various methods to calculate the
 periodogram and estimate the period of a rhythmic time-course. Methods
 include Lomb-Scargle, fast Fourier transform, and three versions of the
 chi-square periodogram. See Tackenberg and Hughey (2021)
 <doi:10.1371/journal.pcbi.1008567>.

Package: r-cran-spectral
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rasterimage, r-cran-lattice, r-cran-rhpcblasctl, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-spectral_2.0-1.ca2004.1_all.deb
Size: 154048
MD5sum: 4be129bc0949fee126d439a38efffe1b
SHA1: 8cf0a2aa93c329dd8586e1a674266d3de6c32974
SHA256: 8538330686472da40ae8cb4b0354a9fff3e5eb21d300d22d3353394c4f290b9f
SHA512: bb4eada3adcbdc57d2d7dad510842e353c021c6e4bbdaf5580ad5e674a0dd21d02495687c4877d7372ca3e5a8f087ae71d63d74169c8fad43a41bf5dcbd4f9d0
Homepage: https://cran.r-project.org/package=spectral
Description: CRAN Package 'spectral' (Common Methods of Spectral Data Analysis)
 On discrete data spectral analysis is performed by Fourier and Hilbert
 transforms as well as with model based analysis called Lomb-Scargle method.
 Fragmented and irregularly spaced data can be processed in almost all
 methods. Both, FFT as well as LOMB methods take multivariate data and return
 standardized PSD.  For didactic reasons an analytical approach for
 deconvolution of noise spectra and sampling function is provided.  A user
 friendly interface helps to interpret the results.

Package: r-cran-spectralanalysis
Architecture: all
Version: 4.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6126
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-baseline, r-bioc-biocgenerics, r-cran-data.table, r-cran-ggplot2, r-cran-jsonlite, r-cran-magrittr, r-cran-nnls, r-cran-nmf, r-cran-plotly, r-cran-plyr, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-signal, r-cran-viridis, r-cran-hnmf, r-cran-zoo, r-cran-pls
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-webshot, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-spectralanalysis_4.3.3-1.ca2004.1_all.deb
Size: 2057656
MD5sum: a808d802bc29d0ea54eb9876b9c3d32f
SHA1: 7b8173637861e28b51de0d01b662a7cf78a0ddaf
SHA256: 9b866b56727010176c43a0acf4ee9bda5e9d1738df0b8fc5331aeb53237f5b5b
SHA512: e500456a0219ba4c4cdacf5709bf9c207af0be4820b792f7a4ac66e7a4a5b493dcc2dea0a85abbead03610cb6e73b762cae00527f219de25488ed751416cd0f0
Homepage: https://cran.r-project.org/package=spectralAnalysis
Description: CRAN Package 'spectralAnalysis' (Pre-Process, Visualize and Analyse Spectral Data)
 Infrared, near-infrared and Raman spectroscopic data measured during
 chemical reactions, provide structural fingerprints by which molecules can
 be identified and quantified. The application of these spectroscopic
 techniques as inline process analytical tools (PAT), provides the
 pharmaceutical and chemical industry with novel tools, allowing to monitor
 their chemical processes, resulting in a better process understanding
 through insight in reaction rates, mechanistics, stability, etc.  Data can
 be read into R via the generic spc-format, which is generally supported by
 spectrometer vendor software. Versatile pre-processing functions are
 available to perform baseline correction by linking to the 'baseline'
 package; noise reduction via the 'signal' package; as well as time
 alignment, normalization, differentiation, integration and interpolation.
 Implementation based on the S4 object system allows storing a pre-processing
 pipeline as part of a spectral data object, and easily transferring it to
 other datasets. Interactive plotting tools are provided based on the
 'plotly' package.  Non-negative matrix factorization (NMF) has been
 implemented to perform multivariate analyses on individual spectral datasets
 or on multiple datasets at once. NMF provides a parts-based representation
 of the spectral data in terms of spectral signatures of the chemical
 compounds and their relative proportions.  See 'hNMF'-package for references
 on available methods. The functionality to read in spc-files was adapted
 from the 'hyperSpec' package.

Package: r-cran-spectralanomaly
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spectralanomaly_0.1.1-1.ca2004.1_all.deb
Size: 85120
MD5sum: a8794f2dc9b7095b927db80a16ea01a2
SHA1: c22b93cd31315b9fdd2e289100204a036f82cf58
SHA256: 94d8582eee1975995aa113e4c729776a42b52d4fe4bc6eb9fca91854a5d14ea4
SHA512: 79fa984f7b4e1cc910f303a0b3d4dd9a99399be3737e53f405da8d8c86a03b97a314d656f411c89740047f2fecccb6fb3c75be8853d008e08beee23793f6c6a9
Homepage: https://cran.r-project.org/package=spectralAnomaly
Description: CRAN Package 'spectralAnomaly' (Detect Anomalies Using the Spectral Residual Algorithm)
 Apply the spectral residual algorithm to data, such as a time series, to
 detect anomalies. Anomaly scores can be used to determine outliers based
 upon a threshold or fed into more sophisticated prediction models. Methods
 are based upon "Time-Series Anomaly Detection Service at Microsoft", Ren,
 H., Xu, B., Wang, Y., et al., (2019) <doi:10.48550/arXiv.1906.03821>.

Package: r-cran-spectralclmixed
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rspectra, r-cran-cluster, r-cran-ggplot2, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-spectralclmixed_1.0.1-1.ca2004.1_all.deb
Size: 24364
MD5sum: 664e4040c9fa80f4fc06ae2daa2acabc
SHA1: e783143110c79f54d3e68f060687d2665a7af6db
SHA256: bdc971d6783542043d88e64e8853427a6987ce116fefd1b9ac8b2cf8edf6be5a
SHA512: 099b7b47f2cff94e84a43a2d1d20b9f91f6da8224d2c4cc18cd2273f2c8ef3033c3c036adb730d3ce7cf13080ed754b340ad70c072ff40394ad34c6175bb33b5
Homepage: https://cran.r-project.org/package=SpectralClMixed
Description: CRAN Package 'SpectralClMixed' (Spectral Clustering for Mixed Type Data)
 Performs cluster analysis of mixed-type data using Spectral Clustering, see
 F. Mbuga and, C. Tortora (2022) <doi:10.3390/stats5010001>.

Package: r-cran-spectralgp
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spectralgp_1.3.3-1.ca2004.1_all.deb
Size: 136332
MD5sum: 4419d9d39d9f9b5aea06d9bc0ab1f294
SHA1: 539adf1899567c4f4e47a1d9c13e14c36d04c2ad
SHA256: 31212a729aefdd8131c1a3f96b4e1d925559eb3dc7b22538d585142faa192d6b
SHA512: 111ac940882dcfdba06bedcda2700ef4771936d3f84644ce905fa3b811b84839efcd66280e853421511427ffedcc9e3347c12867976bf85cf3ca4a12a6e05808
Homepage: https://cran.r-project.org/package=spectralGP
Description: CRAN Package 'spectralGP' (Approximate Gaussian Processes Using the Fourier Basis)
 Routines for creating, manipulating, and performing Bayesian inference about
 Gaussian processes in one and two dimensions using the Fourier basis
 approximation: simulation and plotting of processes, calculation of
 coefficient variances, calculation of process density, coefficient proposals
 (for use in MCMC).  It uses R environments to store GP objects as
 references/pointers.

Package: r-cran-spectralmap
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-scatterplot3d, r-cran-fields
Filename: pool/dists/focal/main/r-cran-spectralmap_1.0-1.ca2004.1_all.deb
Size: 14336
MD5sum: 40042a1a4f55b888d0fd77e2466018aa
SHA1: f27f81a78569bf82f79abc5b1adb0a0ec49b6490
SHA256: 5d6c276fb378df782ec0a8dce5254830943df69c3c2cc0b92e9788ee47a5e39f
SHA512: 01df36c903727d00ccd75ec10036f553d383cc1c515d52997936fb46483f9f437975ab63b7d0cfdae68633dcb960f24659d2b9c5153276dbdf84cfacdc2ef2b0
Homepage: https://cran.r-project.org/package=SpectralMap
Description: CRAN Package 'SpectralMap' (Diffusion Map and Spectral Map)
 Implements the diffusion map method of dimensionality reduction and spectral
 method of combining multiple diffusion maps, including creation of the
 spectra and visualization of maps.

Package: r-cran-spectralr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgee, r-cran-geojsonio, r-cran-sf, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-spectralr_0.1.3-1.ca2004.1_all.deb
Size: 949764
MD5sum: aeb9e7029385dd4fb78ec1eea22e01e3
SHA1: 01d26eefc82eae0448f962434bc7fb7f3cf5b29e
SHA256: de4970c6117b1ec3dae261bc948de275696cfd05eb98bfca81577ea0b2464c5c
SHA512: fa04821b6cc34ad30329a2d96b712f82a1826679bd2557bb2488c4b407bfef0d1cf92c727ec444e31d3c05454469fce0fce8686e01cda92b33a0c6d6084018ca
Homepage: https://cran.r-project.org/package=spectralR
Description: CRAN Package 'spectralR' (Obtain and Visualize Spectral Reflectance Data for Earth SurfacePolygons)
 Tools for obtaining, processing, and visualizing spectral reflectance data
 for the user-defined land or water surface classes for visual exploring in
 which wavelength the classes differ. Input should be a shapefile with
 polygons of surface classes (it might be different habitat types, crops,
 vegetation, etc.). The Sentinel-2 L2A satellite mission optical bands pixel
 data are obtained through the Google Earth Engine service
 (<https://earthengine.google.com/>) and used as a source of spectral data.

Package: r-cran-spectran
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chromote, r-cran-colorspec, r-cran-cowplot, r-cran-dplyr, r-cran-gghighlight, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggridges, r-cran-ggtext, r-cran-gt, r-cran-htmltools, r-cran-magrittr, r-cran-openxlsx, r-cran-pagedown, r-cran-patchwork, r-cran-png, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-shiny, r-cran-shinyalert, r-cran-shinydashboard, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-shinywidgets, r-cran-spacesxyz, r-cran-spscomps, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-waiter, r-cran-webshot2, r-cran-withr
Suggests: r-cran-config, r-cran-here, r-cran-magick, r-cran-pkgload, r-cran-readxl, r-cran-rhub, r-cran-rmarkdown, r-cran-rsconnect
Filename: pool/dists/focal/main/r-cran-spectran_1.0.6-1.ca2004.1_all.deb
Size: 2707752
MD5sum: 6a6308406bebc13470049279138553b1
SHA1: d139bd1f440741224b535ed294a530df86e31026
SHA256: b34cfebb3285b008252959ece6f46a330743916899da116330822a4863216663
SHA512: d3d4ae4ff3a95a1c7195943bbd4cdc48338ed8de2664bcd5d170736a090e476b4312235779063d97a6b6f9b474064a52f9faa6d9203be9f08f9dc2f2921849ee
Homepage: https://cran.r-project.org/package=Spectran
Description: CRAN Package 'Spectran' (Visual and Non-Visual Spectral Analysis of Light)
 Analyse light spectra for visual and non-visual (often called melanopic)
 needs, wrapped up in a Shiny App. 'Spectran' allows for the import of
 spectra in various CSV forms but also provides a wide range of example
 spectra and even the creation of own spectral power distributions. The goal
 of the app is to provide easy access and a visual overview of the spectral
 calculations underlying common parameters used in the field. It is thus
 ideal for educational purposes or the creation of presentation ready graphs
 in lighting research and application. 'Spectran' uses equations and action
 spectra described in CIE S026 (2018) <doi:10.25039/S026.2018>, DIN/TS
 5031-100 (2021) <doi:10.31030/3287213>, and ISO/CIE 23539 (2023)
 <doi:10.25039/IS0.CIE.23539.2023>.

Package: r-cran-spectrolab
Architecture: all
Version: 0.0.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-covr, r-cran-tinytex, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spectrolab_0.0.19-1.ca2004.1_all.deb
Size: 1783640
MD5sum: 89bdda069c6b095444314950fc3d20fc
SHA1: 19a3fc32eaaac75caeb4d86af0842a70d5100a71
SHA256: c18e2124f17d67c8ecfeaa098b327ae4395603d82e67ea28f12986c783673d38
SHA512: e6416ce18f6f425968f975eeba1fd25bd77340afdc355fb61f801e06e4036dbb88a7a783985e960879535545b1d03214c6cb3ac08a779678044ab07109321213
Homepage: https://cran.r-project.org/package=spectrolab
Description: CRAN Package 'spectrolab' (Class and Methods for Spectral Data)
 Input/Output, processing and visualization of spectra taken with different
 spectrometers, including SVC (Spectra Vista), ASD and PSR (Spectral
 Evolution). Implements an S3 class spectra that other packages can build on.
 Provides methods to access, plot, manipulate, splice sensor overlap, vector
 normalize and smooth spectra.

Package: r-cran-spectrum
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3897
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-clusterr, r-cran-rfast, r-cran-diptest
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-spectrum_1.1-1.ca2004.1_all.deb
Size: 3586568
MD5sum: df86373866b36f916bd8e900fa7e85b1
SHA1: 33745fdacea7796d1a4d513dfcabe2a070004d9e
SHA256: 7f5a6a64c26cbac81a43ed36a3bb08222c755884977730c7a250e279ee19d350
SHA512: b9f36b2b2f60e4d601e39084f43f74c95336a731acac90a6baf533a6505300aeb77b0d04a8b9a2a369ad496a864c9f9f155ac4782203c314dc2597e76195ca9a
Homepage: https://cran.r-project.org/package=Spectrum
Description: CRAN Package 'Spectrum' (Fast Adaptive Spectral Clustering for Single and Multi-View Data)
 A self-tuning spectral clustering method for single or multi-view data.
 'Spectrum' uses a new type of adaptive density aware kernel that strengthens
 connections in the graph based on common nearest neighbours. It uses a
 tensor product graph data integration and diffusion procedure to integrate
 different data sources and reduce noise. 'Spectrum' uses either the eigengap
 or multimodality gap heuristics to determine the number of clusters. The
 method is sufficiently flexible so that a wide range of Gaussian and
 non-Gaussian structures can be clustered with automatic selection of K.

Package: r-cran-spedecon
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-spedecon_0.1-1.ca2004.1_all.deb
Size: 48760
MD5sum: feb2eef7771006b36610716d782343e7
SHA1: 1af6f5aecdea39f237c1ea3e231175c4bcbaea5c
SHA256: 895685b56bddf6a6bcc41a40de0aebf8402f3650bbc171b19b25eea05c664ffe
SHA512: c6df3408afe6eb91c827ea7cfe25c529edd2391ba77088a5d45990fb1e297166b00a224525a0975215f2a83a89cdcc1683fbfc7d032db19390671b3fa106f584
Homepage: https://cran.r-project.org/package=spedecon
Description: CRAN Package 'spedecon' (Smoothness-Penalized Deconvolution for Density Estimation UnderMeasurement Error)
 Implements the Smoothness-Penalized Deconvolution method for estimating a
 probability density under measurement error of Kent and Ruppert (2023)
 <doi:10.1080/01621459.2023.2259028>. The estimator is formed by computing a
 histogram of the error-contaminated data, and then finding an estimate that
 minimizes a reconstruction error plus a smoothness-inducing penalty term.
 The primary function, sped(), takes the data and error distribution, and
 returns the estimator as a function.

Package: r-cran-spedinstabr
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2937
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-beanplot, r-cran-raster, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-spedinstabr_2.2-1.ca2004.1_all.deb
Size: 2519188
MD5sum: 5f697623464fc2ced2730edd1b1abd4b
SHA1: ed568af202af4a78221133d56db7a1fa79241b9e
SHA256: a9610d5124d4552dbeca3e556cede0c6c45f3313570523d56ca972cf53841754
SHA512: a0bb735cce3d627298ce2dd4b28570ace338dfddf16dcb46eae63c93145fff4e076dc2b981a7c260ff14b97d28de2286e8f532411f77753364088fa382a3fb05
Homepage: https://cran.r-project.org/package=SPEDInstabR
Description: CRAN Package 'SPEDInstabR' (Estimation of the Relative Importance of Factors AffectingSpecies Distribution Based on Stability Concept)
 From output files obtained from the software 'ModestR', the relative
 contribution of factors to explain species distribution is depicted using
 several plots. A global geographic raster file for each environmental
 variable may be also obtained with the mean relative contribution,
 considering all species present in each raster cell, of the factor to
 explain species distribution. Finally, for each variable it is also possible
 to compare the frequencies of any variable obtained in the cells where the
 species is present with the frequencies of the same variable in the cells of
 the extent.

Package: r-cran-speech
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3753
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tm, r-cran-tidyr, r-cran-pdftools, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-speech_0.1.5-1.ca2004.1_all.deb
Size: 3642268
MD5sum: 947b4ad70c4263d24d563b68eab328e1
SHA1: 3f764339bb2ab34197dd06f7228d109096236cfc
SHA256: c75ab38c6898a8e73705bb0464aef49e56cf4d7c393e20925d8dd4b6a685a776
SHA512: 72ec87170c4ca4a9fc574b76d88c4ea36dac404837e21011755db90195516f80004ba280b9730138631be16a486c94ba4ea1c88fb38849f36dc8a8690d0fe8dd
Homepage: https://cran.r-project.org/package=speech
Description: CRAN Package 'speech' (Legislative Speeches)
 Converts the floor speeches of Uruguayan legislators, extracted from the
 parliamentary minutes, to tidy data.frame where each observation is the
 intervention of a single legislator.

Package: r-cran-speechbr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abjutils, r-cran-dplyr, r-cran-httr, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-xml2, r-cran-rvest, r-cran-rlang, r-cran-tibble, r-cran-glue, r-cran-httptest
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-speechbr_2.0.0-1.ca2004.1_all.deb
Size: 502236
MD5sum: 321d9141e7b4241373bc92d8e82ebbde
SHA1: e170c8b347713eab0c29d0c014e8091f0e697a2a
SHA256: 3943134abf16790136bb42bdc0a73c2fa522c00a4685d3f8af9f59a2533902ec
SHA512: 8500090ab4719ceadb5c65578859d7357d100fac2524938f5d6f0db73171922dae0f1d6d77ffda41477931bcbf745016493d56b4f9aa75fb5bb543bebc6409e7
Homepage: https://cran.r-project.org/package=speechbr
Description: CRAN Package 'speechbr' (Access the Speechs and Speaker's Informations of House ofRepresentatives of Brazil)
 Scrap speech text and speaker informations of speeches of House of
 Representatives of Brazil, and transform in a cleaned tibble.

Package: r-cran-speedglm
Architecture: all
Version: 0.3-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-mass, r-cran-biglm
Filename: pool/dists/focal/main/r-cran-speedglm_0.3-5-1.ca2004.1_all.deb
Size: 189900
MD5sum: 4b565c84f4e2befd7455d7389fd968e8
SHA1: a0f1b9cce4414e0f6c5fc3702986e82a9b328082
SHA256: 794274d29fab75007ea0eafcdd3e05f67619a9b028ca4d09665c6f7ce76767bb
SHA512: 2bf5fb63038943840dc29c682765ff0eb36917c9f648bf6a8fd817e5520fb9d4706f18cbdd31dd40e0cedcc71cab14af47b406b17bbefd09f8995673335f6c74
Homepage: https://cran.r-project.org/package=speedglm
Description: CRAN Package 'speedglm' (Fitting Linear and Generalized Linear Models to Large Data Sets)
 Fitting linear models and generalized linear models to large data sets by
 updating algorithms, according to the method described in Enea (2009, ISBN:
 9788861294257).

Package: r-cran-speedybbt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1705
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayeslogit, r-cran-matrix
Suggests: r-cran-expm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-speedybbt_1.0-1.ca2004.1_all.deb
Size: 1543928
MD5sum: fd4d4c97fa7b4d980ea31b37b697532c
SHA1: b75dc2f6b81765544983e2a06ff93d0ff32d0e4b
SHA256: d64bc0787065acbf2180f4cca4b95b4bf416a597e17860dc3a28fa740dc84e9f
SHA512: 8f79b1dc165b5c0c6fbe97fd4d22dd1179c9eaecb68c5ab50561f49d661b0502cfc7905a4330f3543ce47c7c354e7c7df4716273f39d99e5cc6b3f6bdf98a56c
Homepage: https://cran.r-project.org/package=speedyBBT
Description: CRAN Package 'speedyBBT' (Efficient Bayesian Inference for the Bradley--Terry Model)
 A suite of functions that allow a full, fast, and efficient Bayesian
 treatment of the Bradley--Terry model.  Prior assumptions about the model
 parameters can be encoded through a multivariate normal prior distribution.
 Inference is performed using a latent variable representation of the model.

Package: r-cran-speedycode
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-labelled, r-cran-readroper
Filename: pool/dists/focal/main/r-cran-speedycode_0.3.0-1.ca2004.1_all.deb
Size: 42532
MD5sum: f1ff24b21ec52804d540b4723bee55b2
SHA1: e4b312a5e7b1362dcf3693b75eebcfc275a66c45
SHA256: 7bf7f65201e573f92e35933e783400320829fbe96071be0282711bfacc2f8ce4
SHA512: c00f38f250684c5cfc35b68c0503fd29261f777eac08dc3cfeb9d27e08cf9d5f305a2066b9fb963f01b991141a16678bd3e9fea0049fdcf383d6fa3f60b6586d
Homepage: https://cran.r-project.org/package=speedycode
Description: CRAN Package 'speedycode' (Automate Code for Adding Labels, Recoding and RenamingVariables, and Converting ASCII Files)
 Label, recode, rename, and convert datasets and ASCII files more
 efficiently. 'speedycode' automates the code necessary for labeling
 variables with the 'labelled' package, recoding and renaming variables with
 'dplyr' syntax, and converting ASCII files with the 'readroper' package.
 Most functions require only the name of the dataset and the code will be
 automatically written. Some convenience functions useful for converting
 ASCII files are also included.

Package: r-cran-speff2trial
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-leaps, r-cran-survival
Filename: pool/dists/focal/main/r-cran-speff2trial_1.0.5-1.ca2004.1_all.deb
Size: 121160
MD5sum: bad6318e6eeb5e6e6d77840f0333b883
SHA1: 9942fc0a60392126970b132770d6af61a307bcc9
SHA256: deab6d913c92ebe113896a34b67ba3a1135dfba37fcfb855abfeaa7c6498eaa0
SHA512: 3ae3ffb592c818bda49cfdf738e80a31273c4d759061453be974adcd320bc22ceb0a4460293d80cd91a1855904766b0ac0eeafc865e783d38c658be47d6d2942
Homepage: https://cran.r-project.org/package=speff2trial
Description: CRAN Package 'speff2trial' (Semiparametric Efficient Estimation for a Two-Sample TreatmentEffect)
 Performs estimation and testing of the treatment effect in a 2-group
 randomized clinical trial with a quantitative, dichotomous, or
 right-censored time-to-event endpoint. The method improves efficiency by
 leveraging baseline predictors of the endpoint. The inverse probability
 weighting technique of Robins, Rotnitzky, and Zhao (JASA, 1994) is used to
 provide unbiased estimation when the endpoint is missing at random.

Package: r-cran-spei
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lmomco, r-cran-lmom, r-cran-tlmoments, r-cran-reshape, r-cran-ggplot2, r-cran-checkmate, r-cran-zoo, r-cran-lubridate
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spei_1.8.1-1.ca2004.1_all.deb
Size: 209120
MD5sum: 072a0d6552da2980da66c68b144a4af7
SHA1: c34a7235c5f8005ad833d299f16228ac3e9771ab
SHA256: 991972b3a8a25387b57661f0e8384490ae9f7bc5210a0e147b3f206d377579a2
SHA512: 53c0b7c817749428c07fd4066c043cc849d18e61a31f1bf7905c2b4d49c4169f00bee18ac4bf0a2b31e5e2775ceb02f4168b03296c30d2df5ed16520d39a9dd6
Homepage: https://cran.r-project.org/package=SPEI
Description: CRAN Package 'SPEI' (Calculation of the Standardized Precipitation-EvapotranspirationIndex)
 A set of functions for computing potential evapotranspiration and several
 widely used drought indices including the Standardized
 Precipitation-Evapotranspiration Index (SPEI).

Package: r-cran-spellcheckr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-spellcheckr_0.1.2-1.ca2004.1_all.deb
Size: 1080812
MD5sum: 1903952c1dd281399ce763afb3250256
SHA1: 9154461b8770cc46abcef9c81e7c232fc0a31fac
SHA256: 764ddb7b072afd410ee8dd719070361ab0b82181617344ce9bcff020a170bb3c
SHA512: 5f175413f8bc3fdd8e336a0eceed6fc9dafb78ad274e396b39d1f27f064a44f1c09af95e1ccac099d635ef778add6acb3645e99556e8cb035528ef68e99ba866
Homepage: https://cran.r-project.org/package=spellcheckr
Description: CRAN Package 'spellcheckr' (Correct the Spelling of a Given Word in the English Language)
 Corrects the spelling of a given word in English using a modification of
 Peter Norvig's spell correct algorithm (see
 <http://norvig.com/spell-correct.html>) which handles up to three edits. The
 algorithm tries to find the spelling with maximum probability of intended
 correction out of all possible candidate corrections from the original word.

Package: r-cran-spelling
Architecture: all
Version: 2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-commonmark, r-cran-xml2, r-cran-hunspell, r-cran-knitr
Suggests: r-cran-pdftools
Filename: pool/dists/focal/main/r-cran-spelling_2.3.1-1.ca2004.1_all.deb
Size: 55612
MD5sum: 5ea916b85aef1e22d9eb6c0043949a50
SHA1: f65a37ad3a1359cef5e57ca908606b629d8e1966
SHA256: 0035f7addd98347004dfadef9e63524f5fcda7415573c4d58ca92f756d249d5d
SHA512: 58b71bcbc43256690a1b8db0573095d2ca71590a5acd3955e4d53f46b0c0f8c742b6bd7c22bf6c43ada9df41a280679fda2611dc0a865f25f84dbbc0c4c2410a
Homepage: https://cran.r-project.org/package=spelling
Description: CRAN Package 'spelling' (Tools for Spell Checking in R)
 Spell checking common document formats including latex, markdown, manual
 pages, and description files. Includes utilities to automate checking of
 documentation and vignettes as a unit test during 'R CMD check'. Both
 British and American English are supported out of the box and other
 languages can be added. In addition, packages may define a 'wordlist' to
 allow custom terminology without having to abuse punctuation.

Package: r-cran-spemd
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-spdep, r-cran-mba
Suggests: r-cran-gstat
Filename: pool/dists/focal/main/r-cran-spemd_0.1-1-1.ca2004.1_all.deb
Size: 32448
MD5sum: f37606daee8b24aac37e0e3c62cec9ce
SHA1: edbcef61797ba9e58e4e9a22c21fd8b5efd4e500
SHA256: 80a99ecaa1ccbd66b54179bf75385610d4761f37d9370d07a4e98c5aebd10aba
SHA512: 1afe365170d79120c5a00456e2976ad94da6c298b03f30f9bf438e62559e1a1186b264c6b7a8fced9f5796b04dcd71e4d2c3f69424a8fccf63a0cb6175d0890d
Homepage: https://cran.r-project.org/package=spemd
Description: CRAN Package 'spemd' (A Bi-Dimensional Implementation of the Empirical ModeDecomposition for Spatial Data)
 This implementation of the Empirical Mode Decomposition (EMD) works in 2
 dimensions simultaneously, and can be applied on spatial data. It can handle
 both gridded or un-gridded datasets.

Package: r-cran-sperich
Architecture: all
Version: 1.5-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp, r-cran-foreach, r-cran-raster
Suggests: r-cran-lattice, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-sperich_1.5-9-1.ca2004.1_all.deb
Size: 229992
MD5sum: 3f857eb186f2fd0dfd5c866358c6ebd0
SHA1: b5e6db5aeae25366cb1fd6e88e6285acacb22e1b
SHA256: 0fc34ce373406c68d7e6ccfab21589cefe58623f09cbdb750ebf451822bfa49b
SHA512: 0d24e09357653f09f0400735f26ceb5af461e70f0a98a399b04d133bfaada881571d74ea30e771d03d140fe97d644b98156822538e90a3ee8e109085b10c1b1d
Homepage: https://cran.r-project.org/package=sperich
Description: CRAN Package 'sperich' (Auxiliary Functions to Estimate Centers of Biodiversity)
 Provides some easy-to-use functions to interpolate species range based on
 species occurrences and to estimate centers of biodiversity.

Package: r-cran-sperrorest
Architecture: all
Version: 3.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1660
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-rocr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-mass, r-cran-nnet, r-cran-ranger, r-cran-rmarkdown, r-cran-rpart, r-cran-sp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sperrorest_3.0.5-1.ca2004.1_all.deb
Size: 1526440
MD5sum: a4cfe7951cd3d26d132c629a0d1ec33e
SHA1: 82437d150b7bbbb7c6e1488c10f29f6c4ef91f70
SHA256: bea142d376038df812179ce616b77ff8e4f0c41c10868c9b9f14c8d48105d0fc
SHA512: c35657d78b3e48e734cf599462eaf153490850abf717b3c7106794ae440db1ba2fe5d6915d0e1cf6c8da8036bf51fc37b22479b67ddc2bebb79d505149793748
Homepage: https://cran.r-project.org/package=sperrorest
Description: CRAN Package 'sperrorest' (Perform Spatial Error Estimation and Variable ImportanceAssessment)
 Implements spatial error estimation and permutation-based variable
 importance measures for predictive models using spatial cross-validation and
 spatial block bootstrap.

Package: r-cran-spev
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spev_1.0.0-1.ca2004.1_all.deb
Size: 15676
MD5sum: 203d1e34dc918f44ffb312e72f216280
SHA1: 9cbded8454644c3eefd0b26a5cdf8673b0ce850b
SHA256: 72e64ae34cae1b72000df5d260d48db40cdcc9454f5a7d60d6361990faa18bac
SHA512: 54e70a363ee56e3173f92f34c976915870a740a79a48ce839b7dc668610fe34d45e864e30437e07492c19a8dc65e756e0648cc6af44c641a2e74ae742a8894d3
Homepage: https://cran.r-project.org/package=SPEV
Description: CRAN Package 'SPEV' (Unsmoothed and Smoothed Penalized PCA using Nesterov Smoothing)
 We provide functionality to implement penalized PCA with an option to smooth
 the objective function using Nesterov smoothing. Two functions are available
 to compute a user-specified number of eigenvectors. The function
 unsmoothed_penalized_EV() computes a penalized PCA without smoothing and has
 three parameters (the input matrix, the Lasso penalty, and the number of
 desired eigenvectors). The function smoothed_penalized_EV() computes a
 smoothed penalized PCA using the same parameters and additionally requires
 the specification of a smoothing parameter. Both functions return a matrix
 having the desired eigenvectors as columns.

Package: r-cran-spex
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadmesh, r-cran-raster, r-cran-reproj, r-cran-sp, r-cran-crsmeta
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spex_0.7.1-1.ca2004.1_all.deb
Size: 124912
MD5sum: acb2027b33c997f849d986bdb2c743e7
SHA1: cae04d96de80de75d221211e1fa933ebcabc6eb3
SHA256: b9f275946f3f29a993f81fa9b9e91332d9f74cd883dca4b85dc86979003f8503
SHA512: addbfd7dcde0a6895ceb0ba98a52fecdbea7829adaf0f371ea16223c08de8ab62e5a10e3cccecc5664e0aa4cb00316f6a2fda8cdc474325a83ccff6f94980e9d
Homepage: https://cran.r-project.org/package=spex
Description: CRAN Package 'spex' (Spatial Extent Tools)
 Functions to produce a fully fledged 'geo-spatial' object extent as a
 'SpatialPolygonsDataFrame'. Also included are functions to generate polygons
 from raster data using 'quadmesh' techniques, a round number buffered
 extent, and general spatial-extent and 'raster-like' extent helpers missing
 from the originating packages. Some latitude-based tools for polar maps are
 included.

Package: r-cran-spfda
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mathjaxr
Suggests: r-cran-grpreg, r-cran-refund
Filename: pool/dists/focal/main/r-cran-spfda_0.9.2-1.ca2004.1_all.deb
Size: 62096
MD5sum: 8a8bcb29172d0bb079553c3c3ce138a8
SHA1: 25709d96275b22f2044c6c0672f360ba9f660d5c
SHA256: dbff1a2a2884b5ae7f989452ded1a884ed21e77766151e9d0caa6569042c930f
SHA512: 7544b99e3773084f52efbd526dc5caf048a3fbff1fab8b46b098dc98a82fd6bafd5aef6b51d4f402224ec04f6dc608e1074b1689dc60addb7a39577edb156f50
Homepage: https://cran.r-project.org/package=spfda
Description: CRAN Package 'spfda' (Function-on-Scalar Regression with Group-Bridge Penalty)
 Implements a group-bridge penalized function-on-scalar regression model
 proposed by Wang et al. (2023) <doi:10.1111/biom.13684>, to simultaneously
 estimate functional coefficient and recover the local sparsity.

Package: r-cran-spfilter
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spfilter_2.1.0-1.ca2004.1_all.deb
Size: 175556
MD5sum: 80e5eb0a0d9b879aa6640c5c1ae8284c
SHA1: c26fd33d3afe4c78379d7c15b8cd757b922b00de
SHA256: 88931a9ddd12ab402778aa00aaff767a7ed9fc263d8361429c7ea3670816ecba
SHA512: b46e774d5644c097a367bb81508ad9f36321a1546afd1ce9274f8041d947010ed5b5f12ab49b86660cada0633233ff8fba8c53677ef632f279a1080fce1f84b0
Homepage: https://cran.r-project.org/package=spfilteR
Description: CRAN Package 'spfilteR' (Semiparametric Spatial Filtering with Eigenvectors in(Generalized) Linear Models)
 Tools to decompose (transformed) spatial connectivity matrices and perform
 supervised or unsupervised semiparametric spatial filtering in a regression
 framework. The package supports unsupervised spatial filtering in standard
 linear as well as some generalized linear regression models.

Package: r-cran-spflow
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 994
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-matrix, r-cran-rspectra, r-cran-rdpack
Suggests: r-cran-covr, r-cran-knitr, r-cran-sf, r-cran-sp, r-cran-spdep, r-cran-tinytest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spflow_0.1.0-1.ca2004.1_all.deb
Size: 758420
MD5sum: c6ce19a7c81991ee58fb364e0e4a100f
SHA1: e52dc8451c7334236ec0f212b4c17955cf81bf02
SHA256: 349c706f046b960a7d46719e24380943b98596d5c2f76f4cd023b8e5ff132b8b
SHA512: b92099c6b4406a729e7680ae83d4a6edc54469784ba531e48591836dc67f8ee7642b2007c1cca9ab002d15190874635d9e396ee2b4314d165c30744cd5a942a5
Homepage: https://cran.r-project.org/package=spflow
Description: CRAN Package 'spflow' (Spatial Econometric Interaction Models)
 Efficient estimation of spatial econometric models of origin-destination
 flows, which may exhibit spatial autocorrelation in the dependent variable,
 the explanatory variables or both.  The model is the one proposed by LeSage
 and Pace (2008) <doi:10.1111/j.1467-9787.2008.00573.x>, who develop a matrix
 formulation that exploits the relational structure of flow data.  The
 estimation procedures follow most closely those outlined by Dargel (2021)
 (preprint available at
 <https://www.tse-fr.eu/fr/publications/revisiting-estimation-methods-spatial-econometric-interaction-models>).

Package: r-cran-spfsr
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mlr3, r-cran-future, r-cran-tictoc, r-cran-mlr3pipelines, r-cran-mlr3learners, r-cran-ranger, r-cran-ggplot2, r-cran-lgr
Suggests: r-cran-caret, r-cran-mass
Filename: pool/dists/focal/main/r-cran-spfsr_2.0.4-1.ca2004.1_all.deb
Size: 73924
MD5sum: cfae8f9e3a627d409e1b7d95a65b594d
SHA1: 240bff3e127cc5ef912a99b5a02cb0754b077634
SHA256: ede10ea9d4c471de1c93f50105ef74fab207dc3f276366ed6bbe7ee1206421eb
SHA512: cd282437ba27028924fc3602f475b3b62c4d5315a14af24623e19ca55ef38d4b20ff1f917d28d90c3724136a070ea6ee8712ecb9a0a403b5da88f9a33e21aaa5
Homepage: https://cran.r-project.org/package=spFSR
Description: CRAN Package 'spFSR' (Feature Selection and Ranking via Simultaneous PerturbationStochastic Approximation)
 An implementation of feature selection, weighting and ranking via
 simultaneous perturbation stochastic approximation (SPSA). The SPSA-FSR
 algorithm searches for a locally optimal set of features that yield the best
 predictive performance using some error measures such as mean squared error
 (for regression problems) and accuracy rate (for classification problems).

Package: r-cran-spgrass6
Architecture: all
Version: 0.8-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-xml
Suggests: r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-spgrass6_0.8-9-1.ca2004.1_all.deb
Size: 399708
MD5sum: cad97ff8fe553c0567948276d4119cbc
SHA1: 90d0d489d4b5859269719c2d7afa400aa96f66f8
SHA256: 1a88df58722a78558e98b102e92790b2c99e003c87f48a11db27d6490f583404
SHA512: e367c9e804874966fd217fa34dae039e134b12a9443c0544451671a246f2fbbf80e667ece6a9181f41c81379d8593b262fa3d9d8ddba72a615ce46437a136615
Homepage: https://cran.r-project.org/package=spgrass6
Description: CRAN Package 'spgrass6' (Interface Between GRASS 6+ Geographical Information System and R)
 Interpreted interface between GRASS 6+ geographical information system and
 R, based on starting R from within the GRASS environment, or running
 free-standing R in a temporary GRASS location; the package provides
 facilities for using all GRASS commands from the R command line. This
 package may not be used for GRASS 7, for which rgrass7 should be used.

Package: r-cran-spheredata
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spheredata_0.1.3-1.ca2004.1_all.deb
Size: 171616
MD5sum: 7fac8b9ba486f0f52eb2a0b0c819dd6d
SHA1: 034d5a55818ae6767634d5fa950027ad9c328f9c
SHA256: 5538283e8a99b9029864b21b7e9efcc851c8ad05a9898d981bfb29d7abe9ed08
SHA512: 5457900deccff8d62c798dce973010f53652f5e5cd01c3443092f074f33c320e5a94eacb1aacafb8281815ccf54b96ed1730ba11885fef509af57cb336836a5a
Homepage: https://cran.r-project.org/package=spheredata
Description: CRAN Package 'spheredata' (Students' Performance Dataset in Physics Education Research(SPHERE))
 A multidimensional dataset of students' performance assessment in high
 school physics. The SPHERE dataset was collected from 497 students in four
 public high schools specifically measuring their conceptual understanding,
 scientific ability, and attitude toward physics [see Santoso et al. (2024)
 <doi:10.17632/88d7m2fv7p.1>]. The data collection was conducted using some
 research based assessments established by the physics education research
 community. They include the Force Concept Inventory, the Force and Motion
 Conceptual Evaluation, the Rotational and Rolling Motion Conceptual Survey,
 the Fluid Mechanics Concept Inventory, the Mechanical Waves Conceptual
 Survey, the Thermal Concept Evaluation, the Survey of Thermodynamic
 Processes and First and Second Laws, the Scientific Abilities Assessment
 Rubrics, and the Colorado Learning Attitudes about Science Survey. Students'
 attributes related to gender, age, socioeconomic status, domicile, literacy,
 physics identity, and test results administered using teachers' developed
 items are also reported in this dataset.

Package: r-cran-sphereml
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-spheredata, r-cran-lavaan, r-cran-semplot, r-cran-ctt, r-cran-mirt, r-cran-shinycssloaders, r-cran-fselectorrcpp, r-cran-randomforest, r-cran-caret, r-cran-catools, r-cran-proc, r-cran-ga, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-sphereml_0.1.1-1.ca2004.1_all.deb
Size: 194820
MD5sum: 25963242c43f27dee8facae395246325
SHA1: 6670ea6c7c8f353bd7f37c3cfa49d392eb8e62b3
SHA256: 9f2ae34866bfe177c588790be0bce72842a47ec967425b071b19f1b8e6051bf0
SHA512: f035d0dcf18a80ee0019830d8072b5834128d6e45520f1bcd09e36d7f8cba324e2df2cde3ad2409588889ff58fa3b0e7afa599aff105d00fbebaeb88ee5906aa
Homepage: https://cran.r-project.org/package=sphereML
Description: CRAN Package 'sphereML' (Analyzing Students' Performance Dataset in Physics EducationResearch (SPHERE) using Machine Learning (ML))
 A simple package facilitating ML based analysis for physics education
 research (PER) purposes. The implemented machine learning technique is
 random forest optimized by item response theory (IRT) for feature selection
 and genetic algorithm (GA) for hyperparameter tuning. The data analyzed here
 has been made available in the CRAN repository through the 'spheredata'
 package. The SPHERE stands for Students' Performance in Physics Education
 Research (PER). The students are the eleventh graders learning physics at
 the high school curriculum. We follow the stream of multidimensional
 students' assessment as probed by some research based assessments in PER.
 The goal is to predict the students' performance at the end of the learning
 process. Three learning domains are measured including conceptual
 understanding, scientific ability, and scientific attitude. Furthermore,
 demographic backgrounds and potential variables predicting students'
 performance on physics are also demonstrated.

Package: r-cran-sphereoptimize
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sphereoptimize_0.1.1-1.ca2004.1_all.deb
Size: 16876
MD5sum: 9a97a3bf9aa8ca776f2816db70b9f087
SHA1: 20f4da9d3630ad130080d9920fae27477b785b54
SHA256: 1363003a3456a75194c9cfccf974e33de5fd013cc91d556a731da3d8c632a532
SHA512: f2156fcc9379e72651a7735061064924640c5b1c5f030216424f74020ad22eb13bc668786fb0c629cd06890283678b6565af92f28ae73f3019b7b40f36272f56
Homepage: https://cran.r-project.org/package=SphereOptimize
Description: CRAN Package 'SphereOptimize' (Optimization on a Unit Sphere)
 A simple tool for numerical optimization on the unit sphere. This is
 achieved by combining the spherical coordinating system with L-BFGS-B
 optimization. This algorithm is implemented in Kolkiewicz, A., Rice, G., &
 Xie, Y. (2020) <doi:10.1016/j.jspi.2020.07.001>.

Package: r-cran-spherepc
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geosphere, r-cran-rgl, r-cran-sphereplot
Filename: pool/dists/focal/main/r-cran-spherepc_0.1.7-1.ca2004.1_all.deb
Size: 113232
MD5sum: 7eb8cb45c3574ddfa1d662dd51488070
SHA1: bff60a13f33c7950a507c53688f90ebe54c25c10
SHA256: 3862f7e21b1257fc7cc4473ae7fcf80285dfb77cfa806e53852e03b1096adca0
SHA512: 44af4bc84737f4219b8ca4b1ea31691ae7a4116000d6cc24d44b3233e6e9f47e1db9bbdebd12a525cd92405e0a278569487a8253220bd3f3df939fbd558f76c2
Homepage: https://cran.r-project.org/package=spherepc
Description: CRAN Package 'spherepc' (Spherical Principal Curves)
 Fitting dimension reduction methods to data lying on two-dimensional sphere.
 This package provides principal geodesic analysis, principal circle,
 principal curves proposed by Hauberg, and spherical principal curves.
 Moreover, it offers the method of locally defined principal geodesics which
 is underway. The detailed procedures are described in Lee, J., Kim, J.-H.
 and Oh, H.-S. (2021) <doi:10.1109/TPAMI.2020.3025327>.  Also see Kim, J.-H.,
 Lee, J. and Oh, H.-S. (2020) <arXiv:2003.02578>.

Package: r-cran-sphereplot
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-sphereplot_1.5.1-1.ca2004.1_all.deb
Size: 41476
MD5sum: ce6b31e1868d75fbcfd3e61f0be360c4
SHA1: 5d54c51b002e9a1140cbc972e6afea12d2dc9280
SHA256: bfdd85a27888ec86bdeb57fbf28fd29536ea0f0413b5c165329649b87828a383
SHA512: fbd920ec2fadc521775b12d10afcf4567fa503f8339b941002fb8205b6d6588de30feeb83def974244ecfebad4141c0d44a18d8a8e4b6017cbcd419df54b1ca2
Homepage: https://cran.r-project.org/package=sphereplot
Description: CRAN Package 'sphereplot' (Spherical Plotting)
 Various functions for creating spherical coordinate system plots via
 extensions to rgl.

Package: r-cran-spheresmooth
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sphereplot, r-cran-rgl, r-cran-ggplot2, r-cran-rworldmap, r-cran-sf
Filename: pool/dists/focal/main/r-cran-spheresmooth_0.1.3-1.ca2004.1_all.deb
Size: 219684
MD5sum: 7e197e09bb9b314368e35a65ecce242e
SHA1: 626b2368e7965c4b5a0b98add7aa311603e1d37e
SHA256: 101bd69ecc592293b3d752a9a3ea2283160cd75547bbc26c19caed06bdae039d
SHA512: 39e46ed0a053b554d5178e5fa4f1e50755b8585b3b5ec85e48cbb8901e32dcfbf4b0319859bf77ffbae1b2b39321cfe8e18faed0747ce6591d1b12bb83f0edf5
Homepage: https://cran.r-project.org/package=spheresmooth
Description: CRAN Package 'spheresmooth' (Piecewise Geodesic Smoothing for Spherical Data)
 Fitting a smooth path to a given set of noisy spherical data observed at
 known time points. It implements a piecewise geodesic curve fitting method
 on the unit sphere based on a velocity-based penalization scheme. The
 proposed approach is implemented using the Riemannian block coordinate
 descent algorithm. To understand the method and algorithm, one can refer to
 Bak, K. Y., Shin, J. K., & Koo, J. Y. (2023)
 <doi:10.1080/02664763.2022.2054962> for the case of order 1. Additionally,
 this package includes various functions necessary for handling spherical
 data.

Package: r-cran-sphericalcubature
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature, r-cran-simplicialcubature, r-cran-mvmesh, r-cran-abind
Filename: pool/dists/focal/main/r-cran-sphericalcubature_1.5-1.ca2004.1_all.deb
Size: 101260
MD5sum: 015e5d954f9d5fdee659d2dd72069e85
SHA1: 41792af65566d9d00853a9f03ff80ee5b27d715f
SHA256: 4da720de2db4cfd2f6c550408db2f4f20e2d5987ff722e0a065a61db2abc0356
SHA512: acf5cadc598a2fcfc4fde2ca171815da39b9283155d5897052149389dc069c1798f6231bc1e5ed71e0f27ce18fc153e58f181d5c6225e9eeaa378393a2e3c2e9
Homepage: https://cran.r-project.org/package=SphericalCubature
Description: CRAN Package 'SphericalCubature' (Numerical Integration over Spheres and Balls in n-Dimensions;Multivariate Polar Coordinates)
 Provides several methods to integrate functions over the unit sphere and
 ball in n-dimensional Euclidean space.  Routines for converting to/from
 multivariate polar/spherical coordinates are also provided.

Package: r-cran-sphericalk
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sphericalk_1.2-1.ca2004.1_all.deb
Size: 36544
MD5sum: e459b31828c430a5b42a32be5bc93881
SHA1: 65ea5f58bf0b60272f95eb246c98010852555519
SHA256: 91d954c7e1e977dfcfe1ed4b50995325bd146e3512d5d5740d8949312558c67a
SHA512: 82017a0014456a4978602fd706046e446896c7f0284c1f8939fcfcbaf68e17d5340a852b3c80622de114ac78fca1e736a1a6171aaafa4df062d94a463b4fdb86
Homepage: https://cran.r-project.org/package=SphericalK
Description: CRAN Package 'SphericalK' (Spherical K-Function)
 Spherical K-function for point-pattern analysis on the sphere.

Package: r-cran-sphet
Architecture: all
Version: 2.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 627
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlme, r-cran-spatialreg, r-cran-spdep, r-cran-matrix, r-cran-sp, r-cran-mvtnorm, r-cran-stringr, r-cran-coda, r-cran-spdata, r-cran-sf
Filename: pool/dists/focal/main/r-cran-sphet_2.1-1-1.ca2004.1_all.deb
Size: 543424
MD5sum: b5081068721b65c1121d161b2afaeac6
SHA1: 5fdf7773fca3c3c8cafb3632641bb6d8c54ac012
SHA256: c92d0272373bf01a7010dcab9c693cffa0c27232617c239d3ca2330f94b58e28
SHA512: 7ad842db2d7a2b46aaecd3b78e2a188e2fc0f5ed269ee858728f23790800c9a7929e338b40f9171a9a0f30e46b0deb76eff0681e355c249c0dedf6753b1e5040
Homepage: https://cran.r-project.org/package=sphet
Description: CRAN Package 'sphet' (Estimation of Spatial Autoregressive Models with and withoutHeteroskedastic Innovations)
 Functions for fitting Cliff-Ord-type spatial autoregressive models with and
 without heteroskedastic innovations using Generalized Method of Moments
 estimation are provided. Some support is available for fitting spatial HAC
 models, and for fitting with non-spatial endogeneous variables using
 instrumental variables.

Package: r-cran-spiassay
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spiassay_1.1.0-1.ca2004.1_all.deb
Size: 34684
MD5sum: d3b8e41893ab9467eb4dcd4295d46465
SHA1: 9a4ba736b13f661c9da6b7a654ad25c4a081e5e4
SHA256: 4ce7d6faf14116c60070f598982d46cac313ee30d30b7415f6acc597bb23fe19
SHA512: 0a3152ddcf73ccd00d917bb47a89f7a2764994b9c7481008a578e9f5e55439ae24ed493d6e567fc92b71b3e3568a5b2456edb0ee9d3a76932e20c6363d7e19d8
Homepage: https://cran.r-project.org/package=SPIAssay
Description: CRAN Package 'SPIAssay' (A Genetic-Based Assay for the Identification of Cell Lines)
 The SNP Panel Identification Assay (SPIA) is a package that enables an
 accurate determination of cell line identity from the genotype of single
 nucleotide polymorphisms (SNPs). The SPIA test allows to discern when two
 cell lines are close enough to be called similar and when they are not.
 Details about the method are available at "Demichelis et al. (2008) SNP
 panel identification assay (SPIA): a genetic-based assay for the
 identification of cell lines. Nucleic Acids Res., 3, 2446-2456".

Package: r-cran-spicefp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 872
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-stringr, r-cran-tidyr, r-cran-matrix, r-cran-genlasso, r-cran-purrr
Suggests: r-cran-fields
Filename: pool/dists/focal/main/r-cran-spicefp_0.1.2-1.ca2004.1_all.deb
Size: 802588
MD5sum: 2265360001d60db8ad27f511343782cd
SHA1: 06a47240df617d1e2ff56f9a8f8e4c844d3aabed
SHA256: a98f85756a9669f3b5d9ce45b50ec2968679cc7cfe3a466b80a1a1c0da6c28e7
SHA512: f3d900b3a75dd587ac82447e9893e17a6dd570345374c4bed2b8c6c36e6bcc88bdef36f46ae22479cb529cc0ef9a8a7fdaec28a898718130743143a1a179f3bd
Homepage: https://cran.r-project.org/package=SpiceFP
Description: CRAN Package 'SpiceFP' (Sparse Method to Identify Joint Effects of Functional Predictors)
 A set of functions allowing to implement the 'SpiceFP' approach which is
 iterative. It involves transformation of functional predictors into several
 candidate explanatory matrices (based on contingency tables), to which
 relative edge matrices with contiguity constraints are associated.
 Generalized Fused Lasso regression are performed in order to identify the
 best candidate matrix, the best class intervals and related coefficients at
 each iteration.  The approach is stopped when the maximal number of
 iterations is reached or when retained coefficients are zeros. Supplementary
 functions allow to get coefficients of any candidate matrix or mean of
 coefficients of many candidates.  The methods in this package are describing
 in Girault Gnanguenon Guesse, Patrice Loisel, Bénedicte Fontez, Thierry
 Simonneau, Nadine Hilgert (2021) "An exploratory penalized regression to
 identify combined effects of functional variables -Application to
 agri-environmental issues" <https://hal.archives-ouvertes.fr/hal-03298977>.

Package: r-cran-spichanges
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 823
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist, r-cran-lubridate, r-cran-mumin, r-cran-rlang, r-cran-spsutil, r-cran-brglm2, r-cran-zoo
Suggests: r-cran-archive, r-cran-curl, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-ggplot2, r-cran-knitr, r-cran-ncdf4, r-cran-patchwork, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-sf, r-cran-purrr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-spichanges_0.2.0-1.ca2004.1_all.deb
Size: 400276
MD5sum: 57dbc1c7e427a6a7188e9f9b95af427b
SHA1: def3c85c245f620e26e7d48284e9b562ab99fbe8
SHA256: 294919e0829b3c4c1a76884bb0d570c67b9ec760fac41ebd8de037b67740f122
SHA512: 6bf9cbe4a101c953c3dba7c1fbd060d4221c22bbec3d69ff47a102d32a8c0bec42b11feec83faf95bbede75c135a3a16bdb7516943dcec0140ca5c0d0cc91c0e
Homepage: https://cran.r-project.org/package=SPIChanges
Description: CRAN Package 'SPIChanges' (Improves the Interpretation of the Standardized PrecipitationIndex Under Changing Climate Conditions)
 Improves the interpretation of the Standardized Precipitation Index under
 changing climate conditions. The package uses the nonstationary approach
 proposed in Blain et al. (2022) <doi:10.1002/joc.7550> to detect trends in
 rainfall quantities and to quantify the effect of such trends on the
 probability of a drought event occurring.

Package: r-cran-spicy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-clipr, r-cran-collapse, r-cran-dplyr, r-cran-haven, r-cran-labelled, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spicy_0.1.0-1.ca2004.1_all.deb
Size: 135724
MD5sum: 2613d0053ccaabec3d93f60f2575c927
SHA1: e2299134ae1155819dfa7e95e15ba956fa38b1d5
SHA256: 50c26fafb3c3f3f4b4bfe24a769ad91d2f9219204fa4700b514c31792e0b243f
SHA512: 22059056f043372214522d62e07748874812676087859a8a96dda3b10964a8d2b052c58b0fd211d0e132ccc70dc0f9f28a1785744a2ca9f43d7c2a539ef5681e
Homepage: https://cran.r-project.org/package=spicy
Description: CRAN Package 'spicy' (Descriptive Statistics and Data Management Tools)
 Extracts and summarizes metadata from data frames, including variable names,
 labels, types, and missing values. Computes compact descriptive statistics,
 frequency tables, and cross-tabulations to assist with efficient data
 exploration. Facilitates the identification of missing data patterns and
 structural issues in datasets. Designed to streamline initial data
 management and exploratory analysis workflows within 'R'.

Package: r-cran-spider
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-pegas
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spider_1.5.1-1.ca2004.1_all.deb
Size: 250920
MD5sum: c92f06de6f7f8158dcfbb99811f08583
SHA1: 7404d0a4924fec8e63cb7fc43ff81ec677d8b5f7
SHA256: 139ca1f395e97acbc48d6a52cd520ca3507ca33281800354048abf7d9a1a9210
SHA512: 1bb3335aee614051a976bfc0ea671f438f619849365da095779d2cb1846d6a8b426d012ef068065b617b254b42a0c5ee9c7ae5c9e64d5226df10be55815f79c2
Homepage: https://cran.r-project.org/package=spider
Description: CRAN Package 'spider' (Species Identity and Evolution in R)
 Analysis of species limits and DNA barcoding data. Included are functions
 for generating important summary statistics from DNA barcode data, assessing
 specimen identification efficacy, testing and optimizing divergence
 threshold limits, assessment of diagnostic nucleotides, and calculation of
 the probability of reciprocal monophyly. Additionally, a sliding window
 function offers opportunities to analyse information across a gene, often
 used for marker design in degraded DNA studies. Further information on the
 package has been published in Brown et al (2012)
 <doi:10.1111/j.1755-0998.2011.03108.x>.

Package: r-cran-spidr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-rgbif, r-cran-rworldmap, r-cran-rworldxtra
Filename: pool/dists/focal/main/r-cran-spidr_1.0.2-1.ca2004.1_all.deb
Size: 71892
MD5sum: 5454210bf4e7fd896cc85403522662a6
SHA1: 93cd3a96895f1af069398dece49ea4974c84aec4
SHA256: 03211e1caee25693ec0bebd2c5e0e8947acd9fdc6a7d2f96931d9e484549def9
SHA512: e1b61e0a4b03c7756d76eaa270ff8681a85cd912db8fc5824048f7182a3bed44e87756bce6224912c9fa64418619f5ce2ebc9912a31a179947e0944cf2774eb0
Homepage: https://cran.r-project.org/package=spidR
Description: CRAN Package 'spidR' (Spider Knowledge Online)
 Allows the user to connect with the World Spider Catalogue (WSC;
 <https://wsc.nmbe.ch/>) and the World Spider Trait (WST;
 <https://spidertraits.sci.muni.cz/>) databases. Also performs several basic
 functions such as checking names validity, retrieving coordinate data from
 the Global Biodiversity Information Facility (GBIF;
 <https://www.gbif.org/>), and mapping.

Package: r-cran-spiga
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ga
Filename: pool/dists/focal/main/r-cran-spiga_1.0.0-1.ca2004.1_all.deb
Size: 67416
MD5sum: 36f6adcc7a10bfe1f6328e1c46525633
SHA1: 15b04e88da9abe0d2ef24bee16c47d40417c747a
SHA256: b96a18732ceb739fa026a1e2b96ec39babd88c0c0c4e90593fd5976591cba3e8
SHA512: ba26d5d20dfff6f8573cff8609976f95edb098479ffba20e8b76ccd38ba4707cb32d6b21b0a45f7b0e4954b7a1e6c5b94c93eecf5604ed2fe46e1024097d5c2f
Homepage: https://cran.r-project.org/package=SPIGA
Description: CRAN Package 'SPIGA' (Compute SPI Index using the Methods Genetic Algorithm andMaximum Likelihood)
 Calculate the Standardized Precipitation Index (SPI) for monitoring drought,
 using Artificial Intelligence techniques (SPIGA) and traditional numerical
 technique Maximum Likelihood (SPIML).  For more information see:
 http://drought.unl.edu/monitoringtools/downloadablespiprogram.aspx.

Package: r-cran-spikes
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-emdbook
Filename: pool/dists/focal/main/r-cran-spikes_1.1-1.ca2004.1_all.deb
Size: 687564
MD5sum: d5538693b316ff412a3d7eb406c1c931
SHA1: 9b7857920c19c8ddacd2001d5fb9a8bd4531a796
SHA256: c5a53a87fc4953e795bf3a8031c7ed67741081e7c325296418612a9ed55c7827
SHA512: 7af1418ae23724ed9fd70e4d36f6149df3e073c4b33d11e5dfbc1f0f31432fdbbf48e836c643d0436e0e619754fda999d64e7132b3fa1aec9dcf63887d8ea741
Homepage: https://cran.r-project.org/package=spikes
Description: CRAN Package 'spikes' (Detecting Election Fraud from Irregularities in Vote-ShareDistributions)
 Applies re-sampled kernel density method to detect vote fraud. It estimates
 the proportion of coarse vote-shares in the observed data relative to the
 null hypothesis of no fraud.

Package: r-cran-spillover
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 695
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vars, r-cran-dplyr, r-cran-ggplot2, r-cran-fastsom, r-cran-tidyr, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-spillover_0.1.1-1.ca2004.1_all.deb
Size: 585140
MD5sum: f027cbc285d71d07f21c975857526d99
SHA1: 76a9e629b1206c7907a0268b7e267541ac9e3194
SHA256: f0488597ae901c98adf9e20c08c6cf529a6d4493f59e0f0c001c45caa0c30183
SHA512: 4c5cdae010cdfc6c461e213bf3fea3fc026ce1517e9a8cbb7d8370006d623c8bbed2c5a12813bde7729e3c0bbd9d2fc8bd74423a5254027a7f3bbe864ce48111
Homepage: https://cran.r-project.org/package=Spillover
Description: CRAN Package 'Spillover' (Spillover/Connectedness Index Based on VAR Modelling)
 A user-friendly tool for estimating both total and directional connectedness
 spillovers based on Diebold and Yilmaz (2009, 2012). It also provides the
 user with rolling estimation for total and net indices. User can find both
 orthogonalized and generalized versions for each kind of measures. See
 Diebold and Yilmaz (2009, 2012) find them at
 <doi:10.1111/j.1468-0297.2008.02208.x> and
 <doi:10.1016/j.ijforecast.2011.02.006>.

Package: r-cran-spin
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-spin_1.1-1.ca2004.1_all.deb
Size: 34372
MD5sum: 9e43c580cd2328dd497da8e86528b99d
SHA1: 01adbb2ce0249aab701c063a45e6f20212fef7a4
SHA256: 478dab17538fc34639e8b2c7fb4768c3db1427756f5226e2ebb1402c962e4002
SHA512: e7b617b1405c544e56fdece4f7aefbc9872807a65cb85531b07e472bf5f7c77fb8ba17b10ae697fdc55ee677dfeaca89665328740bdfc81201fa6e2528974c79
Homepage: https://cran.r-project.org/package=SPIn
Description: CRAN Package 'SPIn' (Simulation-efficient Shortest Probability Intervals)
 An optimal weighting strategy to compute simulation-efficient shortest
 probability intervals (spins).

Package: r-cran-spina
Architecture: all
Version: 4.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spina_4.1.0-1.ca2004.1_all.deb
Size: 57268
MD5sum: fc9b36fc533afa60acf163375a23c117
SHA1: 6d0edf5c8f6ab63059431009fbc5f2de7ab2545a
SHA256: fb6e15547ea0a0f60ad08c861f8fca10906a39c77275ac2a24eda738ecb12a3a
SHA512: 293c0b2ea9a1da2fbf183a6d98b0afd5172e60d816575f3c2e1f2a4786c71f0764a81f4d810851827f6e303d458c84ef7d108e2ab240e155401ba0e7eed5f133
Homepage: https://cran.r-project.org/package=SPINA
Description: CRAN Package 'SPINA' (Structure Parameter Inference Approach)
 Calculates constant structure parameters of endocrine homeostatic systems
 from equilibrium hormone concentrations. Methods and equations have been
 described in Dietrich et al. (2012) <doi:10.1155/2012/351864> and Dietrich
 et al. (2016) <doi:10.3389/fendo.2016.00057>.

Package: r-cran-spinar
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-progress
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spinar_0.2.0-1.ca2004.1_all.deb
Size: 128660
MD5sum: bc67f6fe0de7c8953dc5b70029def4c0
SHA1: cf26ff0aab1760b92fcca4a639f5e179343acbe0
SHA256: 46b1ffb39052059f0da408ad25eade7f4afde715948b581f05edef1e78d7eead
SHA512: 9c9b1e1ea9a7ccc61cdb9c8cd4191aecadbd59c1d5257fd1e0835b944f085f4d4e6bd427f7b4cf08834fc573bd0e16d7fe51b0c52b8839d2460969ed75239c78
Homepage: https://cran.r-project.org/package=spINAR
Description: CRAN Package 'spINAR' ((Semi)Parametric Estimation and Bootstrapping of INAR Models)
 Semiparametric and parametric estimation of INAR models including a finite
 sample refinement (Faymonville et al. (2022)
 <doi:10.1007/s10260-022-00655-0>) for the semiparametric setting introduced
 in Drost et al. (2009) <doi:10.1111/j.1467-9868.2008.00687.x>, different
 procedures to bootstrap INAR data (Jentsch, C. and Weiß, C.H. (2017)
 <doi:10.3150/18-BEJ1057>) and flexible simulation of INAR data.

Package: r-cran-spind
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 488
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-geepack, r-cran-mass, r-cran-splancs, r-cran-lattice, r-cran-waveslim, r-cran-rje, r-cran-stringr, r-cran-ggplot2, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-testthat, r-cran-presenceabsence, r-cran-sp, r-cran-covr
Filename: pool/dists/focal/main/r-cran-spind_2.2.1-1.ca2004.1_all.deb
Size: 333904
MD5sum: 2f7e297fd7b355c890c24d8625f40be8
SHA1: c284d4a112bc18b54ed5c4b9a47b813b98df477c
SHA256: c15ce62043ca4cbfbef6d038ea5ceaac8e83291c89fe6a51cd61153dd7341d34
SHA512: 9052860c9b385e59cc7aaf45a32f16355cb836b352ec3e94e22e53b02d6c3a3fbeb59f11038fb211534a04b479b606c075ae3ff629029f00b827d23ccb87cf61
Homepage: https://cran.r-project.org/package=spind
Description: CRAN Package 'spind' (Spatial Methods and Indices)
 Functions for spatial methods based on generalized estimating equations
 (GEE) and wavelet-revised methods (WRM), functions for scaling by wavelet
 multiresolution regression (WMRR), conducting multi-model inference, and
 stepwise model selection. Further, contains functions for spatially
 corrected model accuracy measures.

Package: r-cran-spinifex
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1959
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tourr, r-cran-ggplot2, r-cran-gganimate, r-cran-plotly, r-cran-shiny, r-cran-rdimtools, r-cran-magrittr
Suggests: r-cran-mass, r-cran-ggrepel, r-cran-patchwork, r-cran-hexbin, r-cran-htmlwidgets, r-cran-gifski, r-cran-png, r-cran-dplyr, r-cran-knitr, r-cran-ggally, r-cran-testthat, r-cran-lifecycle, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-spinifex_0.3.8-1.ca2004.1_all.deb
Size: 1168940
MD5sum: 70a9df9cc9677acee110302915d9b2ac
SHA1: 0a3b7184d5c85ab9223d661684567aa7a12acc16
SHA256: ddea84c681afb39684ddd30c96c58642b6c8d21dbb1e823baf62a19f6162d264
SHA512: 0bdbd5bfa04f733f15e156855889dfb817451b2e90001a732b9e92399a229b313848069f58244b42b826904f4b57607b17b0ea74a7b093c7531b81bfeebcee45
Homepage: https://cran.r-project.org/package=spinifex
Description: CRAN Package 'spinifex' (Manual Tours, Manual Control of Dynamic Projections of NumericMultivariate Data)
 Data visualization tours animates linear projection of multivariate data as
 its basis (ie. orientation) changes. The 'spinifex' packages generates paths
 for manual tours by manipulating the contribution of a single variable at a
 time Cook & Buja (1997) <doi:10.1080/10618600.1997.10474754>. Other types of
 tours, such as grand (random walk) and guided (optimizing some objective
 function) are available in the 'tourr' package Wickham et al.
 <doi:10.18637/jss.v040.i02>.  'spinifex' builds on 'tourr' and can render
 tours with 'gganimate' and 'plotly' graphics, and allows for exporting as an
 .html widget and as an .gif, respectively. This work is fully discussed in
 Spyrison & Cook (2020) <doi:10.32614/RJ-2020-027>.

Package: r-cran-spinner
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-torch, r-cran-igraph, r-cran-purrr, r-cran-ggplot2, r-cran-ggthemes, r-cran-tictoc, r-cran-readr, r-cran-lubridate, r-cran-rlist, r-cran-fastdummies, r-cran-entropy, r-cran-abind
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spinner_1.1.0-1.ca2004.1_all.deb
Size: 181280
MD5sum: 2015bfce943d612d79ec8efab5e2bcac
SHA1: 9dd4080095036ec7716a2db8d4fc47a3d9440ce5
SHA256: ec6afefa9b9d1ba203073864668e9fe7739faf5ff5155659d8a9fc17f6e8a93b
SHA512: fd4cf423feb63f2411d1235e6b0178436a55062c012a2375a3784d1aeb315147144c67dcb54ccf0b46dd1f405d2c8cc2b1bb32f6fdedfbddac9109e35e7ffc75
Homepage: https://cran.r-project.org/package=spinner
Description: CRAN Package 'spinner' (An Implementation of Graph Net Architecture Based on 'torch')
 Proposes a 'torch' implementation of Graph Net architecture allowing
 different options for message passing and feature embedding.

Package: r-cran-spinyreg
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spinyreg_0.1-0-1.ca2004.1_all.deb
Size: 142372
MD5sum: 9ddacb5176dcf926c30e73af3af7082b
SHA1: daeadaca28319bc2696cb9463a53f1b2e5d858a4
SHA256: 258655e53911e37d03f146bfcc883d66589699899e1ccde9fe39bd63010187b9
SHA512: 35bc9628933b661f139c263d461c680e2af0f8d47716caeaeaf5dfc3e9a5500c3b926fa6caaf4244cbf639c653cb9fa17b05bc35799a6ea3a02e350e2da7deec
Homepage: https://cran.r-project.org/package=spinyReg
Description: CRAN Package 'spinyReg' (Sparse Generative Model and Its EM Algorithm)
 Implements a generative model that uses a spike-and-slab like prior
 distribution obtained by multiplying a deterministic binary vector. Such a
 model allows an EM algorithm, optimizing a type-II log-likelihood.

Package: r-cran-spir
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsheet, r-cran-reshape2, r-cran-ggplot2, r-cran-ggsci, r-cran-readr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spir_0.2.1-1.ca2004.1_all.deb
Size: 641168
MD5sum: 6969e456ecd4493ab880b70f2b5c62b0
SHA1: 86ad09d70a44f5678b0a1af6805f409824bb320a
SHA256: 2587f9e2b3d7843a9a88519920cca96bd122bc110a0a4ca21dc77bcd276eb744
SHA512: c9f386d7fcb11b9cad89f740c9885db454aed00aaabb9eb0d9d45ab9852a4c875f54a47731d4ae69be189e552f0c8977f787be54272db68d23d815ef7074149e
Homepage: https://cran.r-project.org/package=spiR
Description: CRAN Package 'spiR' (Wrapper for the Social Progress Index Data)
 In 2015, The 17 United Nations' Sustainable Development Goals were adopted.
 'spiR' is a wrapper of several open datasets published by the Social
 Progress Imperative (<https://www.socialprogress.org/>), including the
 Social Progress Index (a synthetic measure of human development across the
 world). 'spiR''s goal is to provide data to help policymakers and
 researchers prioritize actions that accelerate social progress across the
 world in the context of the Sustainable Development Goals. Please cite:
 Warin, Th. (2019) "spiR: An R Package for the Social Progress Index",
 <doi:10.6084/m9.figshare.11421573.v2>.

Package: r-cran-spiralize
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1149
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-globaloptions, r-cran-getoptlong, r-cran-circlize, r-cran-lubridate, r-bioc-complexheatmap
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-grimport, r-cran-grimport2, r-cran-jpeg, r-cran-png, r-cran-tiff, r-cran-cranlogs, r-cran-cowplot, r-cran-dendextend, r-cran-bezier, r-cran-magick, r-cran-ape
Filename: pool/dists/focal/main/r-cran-spiralize_1.1.0-1.ca2004.1_all.deb
Size: 996396
MD5sum: 6aecdb566b3c88c74d59ce09d8ea6067
SHA1: a73f2339fbb8ac5bc715bbe33d6673ba9818123d
SHA256: 6b0b4fa7b169fb49d94e52055bb02c7aa9f433c12d7f9fc6617117276d0037da
SHA512: 10001e4b7324857edb38b1e2bde28d145c9c97eafd5c419608d00e2c2c2950ea56b6064d643ce23159c63dcbadd3dd8ffe71bf4c731223b055e0f14414308af9
Homepage: https://cran.r-project.org/package=spiralize
Description: CRAN Package 'spiralize' (Visualize Data on Spirals)
 It visualizes data along an Archimedean spiral
 <https://en.wikipedia.org/wiki/Archimedean_spiral>, makes so-called spiral
 graph or spiral chart.  It has two major advantages for visualization: 1. It
 is able to visualize data with very long axis with high resolution. 2. It is
 efficient for time series data to reveal periodic patterns.

Package: r-cran-spiritr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-spiritr_0.1.1-1.ca2004.1_all.deb
Size: 52260
MD5sum: b43aec00b9b90995c5be8ed151390196
SHA1: e02822734cb247a3471523c5b53b4fc8820e5069
SHA256: 119070de481a33cee374b3ecce632e46b8b66fa17c3204fed056c55025f8c38b
SHA512: 9fed4e673a85bb04b5e077a1965cb6cab2088f0ff2b0f60de937d5e446bedf128091700bfcf6ccc5f284f7aa788604de0e776ecded388001776d7671267dcaab
Homepage: https://cran.r-project.org/package=spiritR
Description: CRAN Package 'spiritR' (Template for Clinical Trial Protocol)
 Contains an R Markdown template for a clinical trial protocol adhering to
 the SPIRIT statement. The SPIRIT (Standard Protocol Items for Interventional
 Trials) statement outlines recommendations for a minimum set of elements to
 be addressed in a clinical trial protocol.  Also contains functions to
 create a xml document from the template and upload it to
 clinicaltrials.gov<https://www.clinicaltrials.gov/> for trial registration.

Package: r-cran-spiro
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-xml2, r-cran-readxl, r-cran-knitr, r-cran-cowplot, r-cran-digest, r-cran-signal
Suggests: r-cran-testthat, r-cran-vdiffr, r-cran-rmarkdown, r-cran-ggborderline
Filename: pool/dists/focal/main/r-cran-spiro_0.2.3-1.ca2004.1_all.deb
Size: 1098988
MD5sum: 9e2da640790aab79533dbafe81c02ee4
SHA1: 67e20334b074ee83e512bb85c59894739ca30a03
SHA256: 7693883348105cc4059ad22a1fec094e45afbdcc2c2fe292e2904ce06f10cf04
SHA512: 6f6d4a7b46ddb15f4eaf626bdc3d21d61a9aead79f02dd6e91f3e6f1c23f2f8f1a3eecf28341288d6f453a674c7b6d96b8e91b282c1ef44cea985c1a1116c5ee
Homepage: https://cran.r-project.org/package=spiro
Description: CRAN Package 'spiro' (Manage Data from Cardiopulmonary Exercise Testing)
 Import, process, summarize and visualize raw data from metabolic carts. See
 Robergs, Dwyer, and Astorino (2010) <doi:10.2165/11319670-000000000-00000>
 for more details on data processing.

Package: r-cran-splash
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-splash_1.0.2-1.ca2004.1_all.deb
Size: 81368
MD5sum: 4226ef1883dae4aaf49f8456f87184f6
SHA1: 673c8acbd4d47ea198528e98d80359adc222e45e
SHA256: 3a67206ab1d7b0c2072b097a0458c8567b5adfd2f7089f3a228bfc64b43348c5
SHA512: be3e44f14745f0885b4fe2ee522c1d5ac090675e78608e05a9d2bad0e977b638d035bcdb65ebe292d0f0be2ea032001d7a02b1233f3bae0dd2367b5ac94df562
Homepage: https://cran.r-project.org/package=splash
Description: CRAN Package 'splash' (Simple Process-Led Algorithms for Simulating Habitats)
 This program calculates bioclimatic indices and fluxes (radiation,
 evapotranspiration, soil moisture) for use in studies of ecosystem function,
 species distribution, and vegetation dynamics under changing climate
 scenarios. Predictions are based on a minimum of required inputs: latitude,
 precipitation, air temperature, and cloudiness.  Davis et al. (2017)
 <doi:10.5194/gmd-10-689-2017>.

Package: r-cran-splashr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1054
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-curl, r-cran-httr, r-cran-dplyr, r-cran-purrr, r-cran-stevedore, r-cran-magick, r-cran-scales, r-cran-formatr, r-cran-openssl, r-cran-stringi, r-cran-hartools, r-cran-jsonlite, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-tibble, r-cran-jpeg, r-cran-png, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-splashr_0.6.0-1.ca2004.1_all.deb
Size: 729404
MD5sum: 0a184e3ea011e7f8ce833a800b76c390
SHA1: 33921d0b29dbd87c047714f3472fa84e941b3dbc
SHA256: b4d25ff3d173eee80616e3d9b5b886708eee6db1672a3cbb8b9604dc4629b9b8
SHA512: ac3752001a11e4b6e8f2e9569b46ff883297310aeb0ae12e56cbcf83148cf67b42804ca78ca1adc1ec9c0e5b86817a3bc875f54c09f56879c5592712d925a48b
Homepage: https://cran.r-project.org/package=splashr
Description: CRAN Package 'splashr' (Tools to Work with the 'Splash' 'JavaScript' Rendering andScraping Service)
 'Splash' <https://github.com/scrapinghub/splash> is a 'JavaScript' rendering
 service.  It is a lightweight web browser with an 'HTTP' API, implemented in
 'Python' using 'Twisted' and 'QT' and provides some of the core
 functionality of the 'RSelenium' or 'seleniumPipes' R packages in a
 lightweight footprint. Some of 'Splash' features include the ability to
 process multiple web pages in parallel; retrieving 'HTML' results and/or
 take screen shots; disabling images or use 'Adblock Plus' rules to make
 rendering faster; executing custom 'JavaScript' in page context; getting
 detailed rendering info in 'HAR' format.

Package: r-cran-spldv
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-formula, r-cran-matrix, r-cran-maxlik, r-cran-sphet, r-cran-memisc, r-cran-car, r-cran-numderiv, r-cran-mass, r-cran-spatialreg
Suggests: r-cran-spdep
Filename: pool/dists/focal/main/r-cran-spldv_0.1.3-1.ca2004.1_all.deb
Size: 111420
MD5sum: 8db2809df7eba9c852ff78bec6bb5145
SHA1: 2e23d9612a85391791f7193f855b5f67879da33b
SHA256: a548d06fac9e042638a9db467af60ad2aebc22e3fc07268e18f458ae802aeb39
SHA512: f4fbacac9e9afad41d47667200e83bbd25fd6e1b344a225f929d369924a9de1519c40512f39c9ce3ad32878bbd941e195f0838ae2014cd0d807de9f77fa553d4
Homepage: https://cran.r-project.org/package=spldv
Description: CRAN Package 'spldv' (Spatial Models for Limited Dependent Variables)
 The current version of this package estimates spatial autoregressive models
 for binary dependent variables using GMM estimators
 <doi:10.18637/jss.v107.i08>. It supports one-step (Pinkse and Slade, 1998)
 <doi:10.1016/S0304-4076(97)00097-3> and two-step GMM estimator along with
 the linearized GMM estimator proposed by Klier and McMillen (2008)
 <doi:10.1198/073500107000000188>. It also allows for either Probit or Logit
 model and compute the average marginal effects. All these models are
 presented in Sarrias and Piras (2023) <doi:10.1016/j.jocm.2023.100432>.

Package: r-cran-splice
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2704
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-synthetic, r-cran-zoo, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-rcolorbrewer, r-cran-actuar
Filename: pool/dists/focal/main/r-cran-splice_1.1.2-1.ca2004.1_all.deb
Size: 2043968
MD5sum: f02be5c657ff4ab88553c42507cddb27
SHA1: 77f019d5b3e137fa449fad4331c92f1ff495a189
SHA256: 7467ec684ec85a9bd8096c6ad0894c127f7cec419c68850fc0ec547511ac87c2
SHA512: a3c7b7e2aae2231df33e838383f570ca680c33981102c731c3c97cf70739c18332e5cac544d1f9109b29f5602f50e0423c7ddad70deed83f98864d5416f71af4
Homepage: https://cran.r-project.org/package=SPLICE
Description: CRAN Package 'SPLICE' (Synthetic Paid Loss and Incurred Cost Experience (SPLICE)Simulator)
 An extension to the individual claim simulator called 'SynthETIC' (on CRAN),
 to simulate the evolution of case estimates of incurred losses through the
 lifetime of an insurance claim. The transactional simulation output now
 comprises key dates, and both claim payments and revisions of estimated
 incurred losses. An initial set of test parameters, designed to mirror the
 experience of a real insurance portfolio, were set up and applied by default
 to generate a realistic test data set of incurred histories (see vignette).
 However, the distributional assumptions used to generate this data set can
 be easily modified by users to match their experiences.  Reference: Avanzi
 B, Taylor G, Wang M (2021) "SPLICE: A Synthetic Paid Loss and Incurred Cost
 Experience Simulator" <arXiv:2109.04058>.

Package: r-cran-splinecox
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-joint.cox, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-splinecox_0.0.4-1.ca2004.1_all.deb
Size: 58408
MD5sum: ff112e3c4e63a8bffd00a0c293835d37
SHA1: b08ba8be96c0d10c26c4ace7b827111474b6eea6
SHA256: 1000f46eea8892c9f2fad6d1858ece1ee12ea1fc61fe6ef54fc6754c9f920d0c
SHA512: 814cf1d0eff23e6aaa269a236366c641ad342c51219fab0a78ac442911c0498fd216c0870e37f439f6aaff3ab949be903bf56f94a885735bf319a6d274e104c4
Homepage: https://cran.r-project.org/package=splineCox
Description: CRAN Package 'splineCox' (A Two-Stage Estimation Approach to Cox Regression Using M-SplineFunction)
 Implements a two-stage estimation approach for Cox regression using
 five-parameter M-spline functions to model the baseline hazard. It allows
 for flexible hazard shapes and model selection based on log-likelihood
 criteria as described in Teranishi et al.(2025).  In addition, the package
 provides functions for constructing and evaluating B-spline copulas based on
 five M-spline or I-spline basis functions, allowing users to flexibly model
 and compute bivariate dependence structures. Both the copula function and
 its density can be evaluated.

Package: r-cran-splinetree
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3315
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-nlme, r-cran-mosaic, r-cran-ggplot2, r-cran-treeclust, r-cran-mclust
Suggests: r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-splinetree_0.2.0-1.ca2004.1_all.deb
Size: 2709120
MD5sum: 6f03761d046d56e2c29dc5e65b537866
SHA1: 6b1ba1ad2fac2d39b3340a8b3703e324b1c12505
SHA256: ab314aa5b49bbc98893e22006eaf6c6c07e72b995772cdc0d58fe6971a49dd48
SHA512: 9804d94045b3882c977bd766f794be0f0a9faee30e55ff64caf6b8fcf5957d7a6cea984c91fcf906530c7838b4b418b6775236e7d7ba72758f4003eac4c9e5b4
Homepage: https://cran.r-project.org/package=splinetree
Description: CRAN Package 'splinetree' (Longitudinal Regression Trees and Forests)
 Builds regression trees and random forests for longitudinal or functional
 data using a spline projection method. Implements and extends the work of Yu
 and Lambert (1999) <doi:10.1080/10618600.1999.10474847>. This method allows
 trees and forests to be built while considering either level and shape or
 only shape of response trajectories.

Package: r-cran-splinets
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4102
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-splinets_1.5.1-1.ca2004.1_all.deb
Size: 4096540
MD5sum: 67be3c57779d8527db1536eb505e0112
SHA1: 6109a6e7c91539fdb8973979999b4f294d349070
SHA256: 086d5dbdc175472d043f6b48d01f6e49ecaf521e86b68d2fe792bfcf315cff1d
SHA512: cb80f184496ba6dcbd363a21dfbfe9a6c689e418547aa763f6199154e2325487d2366df384f602405c8b63fc9646ba50c4701d8ef2a404bc0c5f45e8650e80a9
Homepage: https://cran.r-project.org/package=Splinets
Description: CRAN Package 'Splinets' (Functional Data Analysis using Splines and Orthogonal SplineBases)
 Splines are efficiently represented through their Taylor expansion at the
 knots. The representation accounts for the support sets and is thus suitable
 for sparse functional data. Two cases of boundary conditions are considered:
 zero-boundary or periodic-boundary for all derivatives except the last. The
 periodical splines are represented graphically using polar coordinates. The
 B-splines and orthogonal bases of splines that reside on small total support
 are implemented. The orthogonal bases are referred to as 'splinets' and are
 utilized for functional data analysis. Random spline generator is
 implemented as well as all fundamental algebraic and calculus operations on
 splines.  The optimal, in the least square sense, functional fit by
 'splinets' to data consisting of sampled values of functions as well as
 splines build over another set of knots is obtained and used for functional
 data analysis. The S4-version of the object oriented R is used.
 <doi:10.48550/arXiv.2102.00733>, <doi:10.1016/j.cam.2022.114444>,
 <doi:10.48550/arXiv.2302.07552>.

Package: r-cran-splitfeas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpcor, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-splitfeas_0.1.0-1.ca2004.1_all.deb
Size: 56744
MD5sum: a35ca42813f552dd124091a847d1ad1b
SHA1: 11cc74b52922fabde6dc762a228d070c24fd391a
SHA256: 714d52081dfb81734eb6a08f01e6084cb8e92a3d78184c6d01a47acd2a90cd73
SHA512: 2ebea7bdd1ee88ed4694f2e89c22f1ca433e3c14af13affeaa45c1b96d7b06a43189e2710415032a0da65835526c1e7029bda38f50e1c82fe36564e9f453a3e1
Homepage: https://cran.r-project.org/package=splitFeas
Description: CRAN Package 'splitFeas' (Multi-Set Split Feasibility)
 An implementation of the majorization-minimization (MM) algorithm introduced
 by Xu, Chi, Yang, and Lange (2017) <arXiv:1612.05614> for solving multi-set
 split feasibility problems. In the multi-set split feasibility problem, we
 seek to find a point x in the intersection of multiple closed sets and whose
 image under a mapping also must fall in the intersection of several closed
 sets.

Package: r-cran-splitfngr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lbfgs
Filename: pool/dists/focal/main/r-cran-splitfngr_0.1.2-1.ca2004.1_all.deb
Size: 24312
MD5sum: ec644d9396cbb599c81f9f811ac35ee3
SHA1: b8053bc747a0670c0f22796d18f516430b3089b2
SHA256: edef4ac8158864435a4cbae18dc08c5f7dc0a0badcddbb3b5699074ab6b08d64
SHA512: 8a89669d1518137e99d805681535d70d5c009a27f1aba99b98406cd2fb73a95b71a6c0b96234e28861af3f747e3cae26f828106bc2fb6d41485f3d5e3f2955ba
Homepage: https://cran.r-project.org/package=splitfngr
Description: CRAN Package 'splitfngr' (Combined Evaluation and Split Access of Functions)
 Some R functions, such as optim(), require a function its gradient passed as
 separate arguments. When these are expensive to calculate it may be much
 faster to calculate the function (fn) and gradient (gr) together since they
 often share many calculations (chain rule). This package allows the user to
 pass in a single function that returns both the function and gradient, then
 splits (hence 'splitfngr') them so the results can be accessed separately.
 The functions provided allow this to be done with any number of
 functions/values, not just for functions and gradients.

Package: r-cran-splithalfr
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-psych, r-cran-boot, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass
Filename: pool/dists/focal/main/r-cran-splithalfr_3.0.0-1.ca2004.1_all.deb
Size: 499160
MD5sum: 87c15e3eb3686559070d5b26b7f8ce15
SHA1: 11b2b7d140915edc8d7f6f792c5641fb849cf9bb
SHA256: 00a75e96d988cdd0ca25e9672ae3d250a506efc1e99d0e63229cb49c45a9704a
SHA512: 6e410ee87ec4ee1ff3f0b76cef002da73552a03f0efc9e7c7730ece21f79e28ecb77f7e8459acc03080eb5dfdf09fdd3768f9df26ff99286f966b6fe7fb3287a
Homepage: https://cran.r-project.org/package=splithalfr
Description: CRAN Package 'splithalfr' (Estimate Split-Half Reliabilities)
 Estimates split-half reliabilities for scoring algorithms of cognitive tasks
 and questionnaires. The 'splithalfr' supports researcher-provided scoring
 algorithms, with six vignettes illustrating how on included datasets. The
 package provides four splitting methods (first-second, odd-even, permutated,
 Monte Carlo), the option to stratify splits by task design, a number of
 reliability coefficients, the option to sub-sample data, and bootstrapped
 confidence intervals.

Package: r-cran-splitknockoff
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-latex2exp, r-cran-rspectra, r-cran-ggplot2, r-cran-matrix, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-splitknockoff_2.1-1.ca2004.1_all.deb
Size: 79140
MD5sum: 0dc86848b3f1b59afc883eb45d27a3ec
SHA1: 768233adacb9005af62e3e525827ba75ebc2e566
SHA256: 4e352f340972def74af13ef23e16dc0932e53e6b4fbb947fa30aeac1f13b4d7f
SHA512: d5470c26fb42f6774d4f6cc273909898cacf8ffdd26204532e600455cb45fc7fe782e14faa9cadac7f58ea5a0650beb6bf4ed07d1b40f22feb0800c57e4da5ac
Homepage: https://cran.r-project.org/package=SplitKnockoff
Description: CRAN Package 'SplitKnockoff' (Split Knockoffs for Structural Sparsity)
 Split Knockoff is a data adaptive variable selection framework for
 controlling the (directional) false discovery rate (FDR) in structural
 sparsity, where variable selection on linear transformation of parameters is
 of concern. This proposed scheme relaxes the linear subspace constraint to
 its neighborhood, often known as variable splitting in optimization.
 Simulation experiments can be reproduced following the Vignette.  'Split
 Knockoffs' is first defined in Cao et al. (2021)
 <doi:10.48550/arXiv.2103.16159>.

Package: r-cran-splitselect
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multicool, r-cran-glmnet, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat, r-cran-mvnfast
Filename: pool/dists/focal/main/r-cran-splitselect_1.0.3-1.ca2004.1_all.deb
Size: 83096
MD5sum: 190f261726381305098892628de054a1
SHA1: 5becf2072be912d123b6615a2188c337d836fac8
SHA256: 61a79cdf2923d11c1f33555c1832b10c6c99ffb63243bbbc9484245c39ca7926
SHA512: ac9f3aacf1410f5ff2789355ae1a18c8fe5f765d33e6bc1edd4c247495ad77541a443625b57a23d5ae997bd49cca63fb58d52a46efaec9909869d1eee767f52a
Homepage: https://cran.r-project.org/package=splitSelect
Description: CRAN Package 'splitSelect' (Best Split Selection Modeling for Low-Dimensional Data)
 Functions to generate or sample from all possible splits of features or
 variables into a number of specified groups. Also computes the best split
 selection estimator (for low-dimensional data) as defined in Christidis, Van
 Aelst and Zamar (2019) <arXiv:1812.05678>.

Package: r-cran-splitsplitplot
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-splitsplitplot_0.0.1-1.ca2004.1_all.deb
Size: 90116
MD5sum: c5a18785dcf233edb2f40ef0f7ed863e
SHA1: 1674c4720d4a4850f26910e1f9f4698df7ca92d4
SHA256: 0516eb8a453d3bfa4c40c9bc257aa88c396643760a6ef7792815b10d7e256647
SHA512: 5594e8dcdfb9f461ba3ee89bb1abe370985eb01754696a03b83ba229ef3d147cc49b962521bf7783c4345b5cbbb73af3dd964612b78ce896d11cc6838b584db9
Homepage: https://cran.r-project.org/package=SplitSplitPlot
Description: CRAN Package 'SplitSplitPlot' (Analysis of Split-Split-Plot Experiments (Analise DeExperimentos Em Parcela Subsubdividida))
 Performs analysis of split-split plot experiments in both completely
 randomized and randomized complete block designs. With the results, you can
 obtain ANOVA, mean tests, and regression analysis (Este pacote faz a analise
 de experimentos em parcela subsubdivididas no delineamento inteiramente
 casualizado e delineamento em blocos casualizados. Com resultados e possível
 obter a ANOVA, testes de medias e análise de regressao)
 <https://www.expstat.com/pacotes-do-r>.

Package: r-cran-splitstackshape
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-splitstackshape_1.4.8-1.ca2004.1_all.deb
Size: 120108
MD5sum: 41795d69158d6ba2e340a9daa9bb2002
SHA1: d04437a2eba78f55cf9921f58f4f6dd6cf570e43
SHA256: 831378f7ce2d94e792f080a842bb0c136d22126a38ba9d1f5183950a0b24ac25
SHA512: 77da85f629b01f2c3bfe3539787842188d33fedef0b973bfd257a53da8a4a413ab18f72224608933f5c490fd287bf71753efe42a89a2f1fbb9cfdf3f4a2635f2
Homepage: https://cran.r-project.org/package=splitstackshape
Description: CRAN Package 'splitstackshape' (Stack and Reshape Datasets After Splitting Concatenated Values)
 Online data collection tools like Google Forms often export
 multiple-response questions with data concatenated in cells. The
 concat.split (cSplit) family of functions splits such data into separate
 cells. The package also includes functions to stack groups of columns and to
 reshape wide data, even when the data are "unbalanced"---something which
 reshape (from base R) does not handle, and which melt and dcast from
 reshape2 do not easily handle.

Package: r-cran-splittools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-splittools_1.0.1-1.ca2004.1_all.deb
Size: 70924
MD5sum: cadf9fa559ffa24f1fcb2e3f4daee11f
SHA1: 8909aab006ec2a535019edd664507ae83f989813
SHA256: 1130d7e7651ea77d332da137b62bec6208282ab28279bb581dff7be4098c9ff6
SHA512: 8ef8a781b652f6d5209b300da59cf8b5d5b0017e648f991f8c3aa1ac549b7a410a4f4423fedf9a9c3ca7a769c47f7c4c20feb96f753f35a91ab457f79411b102
Homepage: https://cran.r-project.org/package=splitTools
Description: CRAN Package 'splitTools' (Tools for Data Splitting)
 Fast, lightweight toolkit for data splitting. Data sets can be partitioned
 into disjoint groups (e.g. into training, validation, and test) or into
 (repeated) k-folds for subsequent cross-validation.  Besides basic splits,
 the package supports stratified, grouped as well as blocked splitting.
 Furthermore, cross-validation folds for time series data can be created. See
 e.g. Hastie et al. (2001) <doi:10.1007/978-0-387-84858-7> for the basic
 background on data partitioning and cross-validation.

Package: r-cran-splitwise
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1257
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rpart
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-splitwise_1.0.0-1.ca2004.1_all.deb
Size: 368620
MD5sum: cdeaa132c7f4cfb43196ad48cb4aeaeb
SHA1: 75e51dacdff142749c606c8b4c4622c311840417
SHA256: 73094c244aab66eee5d0ab1ccd00d679fdee6233ffbe9fc88ffe5fdc9b040588
SHA512: 901bb9e70142bcd11a880af158e88894d03b1ffcc90950d3d616323043a178e07a1ef9aaa92d7b8f6af9b82a699950af583d6b9a71454ad0794f6f48db73f766
Homepage: https://cran.r-project.org/package=SplitWise
Description: CRAN Package 'SplitWise' ('SplitWise': Hybrid Stepwise Regression with Single-Split DummyEncoding)
 Implements 'SplitWise', a hybrid regression approach that transforms numeric
 variables into either single-split (0/1) dummy variables or retains them as
 continuous predictors. The transformation is followed by stepwise selection
 to identify the most relevant variables. The default 'iterative' mode
 adaptively explores partial synergies among variables to enhance model
 performance, while an alternative 'univariate' mode applies simpler
 transformations independently to each predictor. For details, see Kurbucz et
 al. (2025) <doi:10.48550/arXiv.2505.15423>.

Package: r-cran-splm
Architecture: all
Version: 1.6-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plm, r-cran-maxlik, r-cran-mass, r-cran-bdsmatrix, r-cran-nlme, r-cran-matrix, r-cran-spam, r-cran-spatialreg, r-cran-spdep, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-splm_1.6-5-1.ca2004.1_all.deb
Size: 614100
MD5sum: 5e7f7d35036bc6b9228f6403a5acdde3
SHA1: 1324d9882fe3ee3c6ef31e9d2c9b168dc637b965
SHA256: 1839306b00fec5419a8a54c7b5b8d299ca494c75f9cef03672286be0c2fda788
SHA512: fc3881f639b2de3d6e0566d63b258a85553d2d4f31a30faf7dd9c4ac08b74f4c6b5ea372d1c004cfe7b1f85c78c3838d031de73d610ec1618110661924365771
Homepage: https://cran.r-project.org/package=splm
Description: CRAN Package 'splm' (Econometric Models for Spatial Panel Data)
 ML and GM estimation and diagnostic testing of econometric models for
 spatial panel data.

Package: r-cran-splot
Architecture: all
Version: 0.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-splot_0.5.4-1.ca2004.1_all.deb
Size: 210960
MD5sum: ad3266c86dba8ec3c4a65df8b0cd7fb7
SHA1: e67621f135490cb2f23439d188925e1b49cdf99d
SHA256: 4954e03349cf746b0fbcdb57ed7de712680c29fad525a2e944f1b57f6c3c49a5
SHA512: 460373e0acb560b6ea8eccf60e96e87d567527c2e46ca301b18568f4656166b88ce8f7f97757af64e1c13b37bf98ad2069626c7e5764b871129db42d59ee0c95
Homepage: https://cran.r-project.org/package=splot
Description: CRAN Package 'splot' (Simplified Plotting for Data Exploration)
 Automates common plotting tasks to ease data exploration.  Makes density
 plots (potentially overlaid on histograms), scatter plots with prediction
 lines, or bar or line plots with error bars.  For each type, y, or x and y
 variables can be plotted at levels of other variables, all with minimal
 specification.

Package: r-cran-spls
Architecture: all
Version: 2.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2586
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-nnet, r-cran-pls
Filename: pool/dists/focal/main/r-cran-spls_2.3-2-1.ca2004.1_all.deb
Size: 2490848
MD5sum: e4122717031e2047bcfd9bc4098873cf
SHA1: c7658cd93e446ebf5059f3638ea72ce51032c399
SHA256: 9aaf99c0def75bc9dd5a87429199c1ec004e50e169988db9eee689c37f15ef50
SHA512: 745399d21a2070915d7789648d6358bc0fcf9a3127ade810afd04d9772488af33faf5da9fd22e764d13a404154e289c6f205db551436294fcf73abfe4c2fef5b
Homepage: https://cran.r-project.org/package=spls
Description: CRAN Package 'spls' (Sparse Partial Least Squares (SPLS) Regression andClassification)
 Provides functions for fitting a sparse partial least squares (SPLS)
 regression and classification (Chun and Keles (2010)
 <doi:10.1111/j.1467-9868.2009.00723.x>).

Package: r-cran-splutil
Architecture: all
Version: 2022.6.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-glue
Filename: pool/dists/focal/main/r-cran-splutil_2022.6.20-1.ca2004.1_all.deb
Size: 134980
MD5sum: bd7ced55dab06ecd289f1b10a7f91982
SHA1: 327cf146b29e38b1f94184321f51cdbf1bbaf3b1
SHA256: 962e3e0fc6a972ebeffb0118e29ec76756132b0fb8b3549a4ad0f8a2a56f73c5
SHA512: e81d24babd038bd425d64fff5a41ee3a4ef6235870f72437d7a05b270c4262ba954b32ab1a40b62ff9eccee4de09739912bf51d606b9ff863c2e8af434921bbf
Homepage: https://cran.r-project.org/package=splutil
Description: CRAN Package 'splutil' (Utility Functions for Common Base-R Problems Relating to Lists)
 Utility functions that help with common base-R problems relating to lists.
 Lists in base-R are very flexible. This package provides functions to
 quickly and easily characterize types of lists. That is, to identify if all
 elements in a list are null, data.frames, lists, or fully named lists. Other
 functionality is provided for the handling of lists, such as the easy
 splitting of lists into equally sized groups, and the unnesting of
 data.frames within fully named lists.

Package: r-cran-spm2
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-spm, r-cran-gstat, r-cran-sp, r-cran-randomforest, r-cran-gbm, r-cran-fields, r-cran-nlme, r-cran-glmnet, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spm2_1.1.3-1.ca2004.1_all.deb
Size: 367192
MD5sum: bd40fcef7b1acf165e0db14a21f62a1d
SHA1: 2b0232b6011c0f1b0e1cd1a5253b2b0654c7656c
SHA256: c70b21521ff136c6c998c7d6848b6638bc318fd07852caaa03d480d342792158
SHA512: f11422f4ddfbdc3140e8399b6c723b9ffc2e6b604a30660badaa29d2b903f7becd34992d292c410e1f0c189a5b1b1b44368b2e7e3aa8feb34b0781b4cd58bb87
Homepage: https://cran.r-project.org/package=spm2
Description: CRAN Package 'spm2' (Spatial Predictive Modeling)
 An updated and extended version of 'spm' package, by introducing some
 further novel functions for modern statistical methods (i.e., generalised
 linear models, glmnet, generalised least squares), thin plate splines,
 support vector machine, kriging methods (i.e., simple kriging, universal
 kriging, block kriging, kriging with an external drift), and novel hybrid
 methods (228 hybrids plus numerous variants) of modern statistical methods
 or machine learning methods with mathematical and/or univariate
 geostatistical methods for spatial predictive modelling. For each method,
 two functions are provided, with one function for assessing the predictive
 errors and accuracy of the method based on cross-validation, and the other
 for generating spatial predictions. It also contains a couple of functions
 for data preparation and predictive accuracy assessment.

Package: r-cran-spm
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4593
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gstat, r-cran-sp, r-cran-randomforest, r-cran-psy, r-cran-gbm, r-cran-biomod2, r-cran-ranger
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spm_1.2.2-1.ca2004.1_all.deb
Size: 3833800
MD5sum: 963c1378e3b8a8d7a8e3e328cd5c7122
SHA1: 8fed7e3da13b5735855ba67be2e106d465b87c9e
SHA256: c7704d64a10ff087ca7e71eb06d4c07c1e7c3a0d814cb175f75c8e531445bfb7
SHA512: e1ee0c89a82796520512b1601b0937da09755609570bde7ce36382c379b2246ddd9da85c79089ad2875476f3e8a17fde73a4c6d67621309f573bed99a3345c36
Homepage: https://cran.r-project.org/package=spm
Description: CRAN Package 'spm' (Spatial Predictive Modeling)
 Introduction to some novel accurate hybrid methods of geostatistical and
 machine learning methods for spatial predictive modelling. It contains two
 commonly used geostatistical methods, two machine learning methods, four
 hybrid methods and two averaging methods. For each method, two functions are
 provided. One function is for assessing the predictive errors and accuracy
 of the method based on cross-validation. The other one is for generating
 spatial predictions using the method. For details please see: Li, J.,
 Potter, A., Huang, Z., Daniell, J. J. and Heap, A. (2010)
 <https:www.ga.gov.au/metadata-gateway/metadata/record/gcat_71407> Li, J.,
 Heap, A. D., Potter, A., Huang, Z. and Daniell, J. (2011)
 <doi:10.1016/j.csr.2011.05.015> Li, J., Heap, A. D., Potter, A. and Daniell,
 J. (2011) <doi:10.1016/j.envsoft.2011.07.004> Li, J., Potter, A., Huang, Z.
 and Heap, A. (2012)
 <https:www.ga.gov.au/metadata-gateway/metadata/record/74030>.

Package: r-cran-spmaps
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3228
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-sp
Suggests: r-cran-testthat, r-cran-covr, r-cran-antaresviz
Filename: pool/dists/focal/main/r-cran-spmaps_0.5.0-1.ca2004.1_all.deb
Size: 3267080
MD5sum: b784ab2989e8f27615bae95ddcdfaf86
SHA1: 817635cc602214dc28cc194183b0913d9af9dce6
SHA256: caeeb8ff337263b938ce359c8f2a78aa50641835d6f54beecc855c194503dd34
SHA512: c63b30377830761937f363387e6a7ac51b051bd7a7ae1d7b3545223a745fbb8206642e6d87ffc509ce577d3b830b0bb79f0d06e08bd438fe08fff4f24af81833
Homepage: https://cran.r-project.org/package=spMaps
Description: CRAN Package 'spMaps' (Europe SpatialPolygonsDataFrame Builder)
 Build custom Europe SpatialPolygonsDataFrame, if you don't know what is a
 SpatialPolygonsDataFrame see SpatialPolygons() in 'sp', by example for
 mapLayout() in 'antaresViz'.  Antares is a powerful software developed by
 RTE to simulate and study electric power systems (more information about
 'Antares' here: <https://antares-simulator.org/>).

Package: r-cran-spmlficmcm
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-spmlficmcm_1.4-1.ca2004.1_all.deb
Size: 138044
MD5sum: 330d1d1797a14342c35480194e6d4933
SHA1: 658e59e901e8cc6969cb0888e0b0c0a769c87f64
SHA256: 5fd1997bc9351d8ef203e78a9e1dd0803e8e5175d0c536c41a8beb2656ab4f44
SHA512: b07e86ea1ddd5ded1f07b66dba5e482cce5ff9d642cf526393c0601cc08b2f2c6fb4307c4103128ed3907eb7ee32080c14f41e5ce7fbbe16d9bdbe77263794cb
Homepage: https://cran.r-project.org/package=SPmlficmcm
Description: CRAN Package 'SPmlficmcm' (Semiparametric Maximum Likelihood Method for InteractionsGene-Environment in Case-Mother Control-Mother Designs)
 Implements the method of general semiparametric maximum likelihood
 estimation for logistic models in case-mother control-mother designs.

Package: r-cran-spmodel
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5168
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-generics, r-cran-matrix, r-cran-sf, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-ggplot2, r-cran-ranger, r-cran-statmod, r-cran-proc, r-cran-emmeans, r-cran-estimability
Filename: pool/dists/focal/main/r-cran-spmodel_0.10.0-1.ca2004.1_all.deb
Size: 3494672
MD5sum: a5dcbe21c74602d9a834dd6715c2dd28
SHA1: 1bc69ac03224aa55099f33443b244e074df2f6ec
SHA256: 0e9dfd883fc3fac70b7398843bc2b0fa316a8439290c9b686995478fe2a4855f
SHA512: 3107361fff9046341f85f772f398552bd6e57d901da1edea851b1dee5888233476b325d0d297d650f1f27c23a24733728d84dc10b1c8609aa26d0e761c715500
Homepage: https://cran.r-project.org/package=spmodel
Description: CRAN Package 'spmodel' (Spatial Statistical Modeling and Prediction)
 Fit, summarize, and predict for a variety of spatial statistical models
 applied to point-referenced and areal (lattice) data. Parameters are
 estimated using various methods. Additional modeling features include
 anisotropy, non-spatial random effects, partition factors, big data
 approaches, and more. Model-fit statistics are used to summarize, visualize,
 and compare models. Predictions at unobserved locations are readily
 obtainable. For additional details, see Dumelle et al. (2023)
 <doi:10.1371/journal.pone.0282524>.

Package: r-cran-spmoran
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4811
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-fields, r-cran-vegan, r-cran-matrix, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-spdep, r-cran-rarpack, r-cran-rcolorbrewer, r-cran-fnn
Suggests: r-cran-r.rsp, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-spmoran_0.3.3-1.ca2004.1_all.deb
Size: 4812504
MD5sum: cedc7b6cd296ec88e48847b76baa1fd8
SHA1: 35eef7b6388bea4d41c8edb00db9d436c1e394b3
SHA256: 594957ea2b602d58ce16653317551386b84dc1aba5c0ad1e4ac127768dd818e2
SHA512: 4a3ea7baf8a3a394271bd1172981e981070743a3c867ce0f7483071f48f3fdb3dc7661db98afc39f4b0bc56639c8fd86ba6a8bb01ac72b04008a7359cb904507
Homepage: https://cran.r-project.org/package=spmoran
Description: CRAN Package 'spmoran' (Fast Spatial and Spatio-Temporal Regression using MoranEigenvectors)
 A collection of functions for estimating spatial and spatio-temporal
 regression models. Moran eigenvectors are used as spatial basis functions to
 efficiently approximate spatially dependent Gaussian processes (i.e., random
 effects eigenvector spatial filtering; see Murakami and Griffith 2015 <doi:
 10.1007/s10109-015-0213-7>). The implemented models include linear
 regression with residual spatial dependence, spatially/spatio-temporally
 varying coefficient models (Murakami et al., 2017, 2024;
 <doi:10.1016/j.spasta.2016.12.001>,<doi:10.48550/arXiv.2410.07229>),
 spatially filtered unconditional quantile regression (Murakami and Seya,
 2019 <doi:10.1002/env.2556>), Gaussian and non-Gaussian spatial mixed models
 through compositionally-warping (Murakami et al. 2021,
 <doi:10.1016/j.spasta.2021.100520>).

Package: r-cran-spnaf
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-sf, r-cran-spdep, r-cran-tidyr, r-cran-rlang, r-cran-deldir
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-spnaf_1.1.0-1.ca2004.1_all.deb
Size: 590524
MD5sum: 40c5433fcd4af2f7c3761c87adfed911
SHA1: e87d6279274e77a685b5e622124d94255e42cc20
SHA256: 620a381b3b457a03912357673fb3293995e4eed6e74f6e0b014fedb4b8624816
SHA512: 3254cd505cb8f38b63ea6aee7d44485a32e1531f0890ac2e3e0b8f2595b78faa8fcf646890c14537a190cbe79d9a619f0e55af11b658ac1443c3d39e78123a06
Homepage: https://cran.r-project.org/package=spnaf
Description: CRAN Package 'spnaf' (Spatial Network Autocorrelation for Flow Data)
 Identify statistically significant flow clusters using the local spatial
 network autocorrelation statistic G_ij* proposed by 'Berglund' and
 'Karlström' (1999) <doi:10.1007/s101090050013>.  The metric, an extended
 statistic of 'Getis/Ord' G ('Getis' and 'Ord' 1992)
 <doi:10.1111/j.1538-4632.1992.tb00261.x>, detects a group of flows having
 similar traits in terms of directionality.  You provide OD data and the
 associated polygon to get results with several parameters, some of which are
 defined by spdep package.

Package: r-cran-spnet
Architecture: all
Version: 0.9.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4763
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-shape
Filename: pool/dists/focal/main/r-cran-spnet_0.9.1-0-1.ca2004.1_all.deb
Size: 1590160
MD5sum: cb39170ef43f079558101987931bc3b5
SHA1: 88343664affb6b6cea3d7f14c0d4fe7663bc8c03
SHA256: f380b6dedb305bf157c7a95823dddd9dcfcc984176499f671a89094b7b5cf2ce
SHA512: 4969ae5cfb1a48efbbd0b25575936cad794e5b51c6c27fdeda522b819012d4ade54d699a67dd8feac609a29e4cbe9ceebfe9662dbae841615d1195a0cc89ee30
Homepage: https://cran.r-project.org/package=spnet
Description: CRAN Package 'spnet' (Plotting (Social) Networks on Maps)
 Facilitates the rendering of networks for which nodes have a specific
 position on a map (cities, participants in a political debate, etc.). Map
 data and network data are stored together in a single object which handles
 the match between network nodes and their respective position on the map.
 The plot method renders both the map and the network data. Several networks
 can be plot simultaneously. The graphic is highly customisable and the
 legend is automatically printed. Map data have to be supplied as
 'SpatialPolygons' objects (from the 'sp' package) and network data as 'named
 matrix'.

Package: r-cran-spnetprep
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spatstat.geom, r-cran-spatstat.core, r-cran-spatstat.linnet, r-cran-spatstat, r-cran-leaflet, r-cran-shiny, r-cran-sp, r-cran-raster, r-cran-maptools, r-cran-rgdal, r-cran-shinythemes, r-cran-prodlim
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spnetprep_1.2-1.ca2004.1_all.deb
Size: 311100
MD5sum: b1b02824ea37042922b0ea76ce2228aa
SHA1: b0dcc2a20b578ae52a8d9d6d7b880ee4bf02290f
SHA256: 67da9e1c9ea548381fe18e62d6f3e7986eb72b0fbd50dee3686b80c3d27b9ee3
SHA512: f9ec59d93e5ca667b04f677764fd4a4ccdde674c74a52628ec56fb2bf4811f5aaa168c5f9c705906b68c38689c4f02f38b182e65a2ddddb105d15c80695cad48
Homepage: https://cran.r-project.org/package=SpNetPrep
Description: CRAN Package 'SpNetPrep' (Linear Network Preprocessing for Spatial Statistics)
 Launches a Shiny application that allows users to carry out some of the
 steps that are required to curate both a linear network object based on a
 road structure and a point pattern that lies on such a network, becoming two
 previous steps to the performance of a spatial statistics analysis.

Package: r-cran-spnmf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nmf
Filename: pool/dists/focal/main/r-cran-spnmf_0.1.1-1.ca2004.1_all.deb
Size: 269912
MD5sum: 851a094c427c1852e4db3f395eec82c6
SHA1: 28e6f6328e150654794d35d0b38b4609ee71f3b2
SHA256: b014d94e0a7a0f8a9d412e2fd1fe324712ef698190fd60229cbf5df4c7bade43
SHA512: 67b3f17ee2f928510477c690651943ee8a55a168f0c5c15cdb7777e86ac8ba79b9ee3c53d9499ac8ac0c8b9d581ab2efec56d487526fb62a35d999b9fcd9feb5
Homepage: https://cran.r-project.org/package=SpNMF
Description: CRAN Package 'SpNMF' (Supervised NMF)
 Non-negative Matrix Factorization(NMF) is a powerful tool for identifying
 the key features of microbial communities and a dimension-reduction method.
 When we are interested in the differences between the structures of two
 groups of communities, supervised NMF(Yun Cai, Hong Gu and Tobby Kenney
 (2017),<doi:10.1186/s40168-017-0323-1>) provides a better way to do this,
 while retaining all the advantages of NMF -- such as interpretability, and
 being based on a simple biological intuition.

Package: r-cran-spocc
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 349
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rgbif, r-cran-rebird, r-cran-rvertnet, r-cran-ridigbio, r-cran-lubridate, r-cran-crul, r-cran-whisker, r-cran-jsonlite, r-cran-data.table, r-cran-tibble, r-cran-wk, r-cran-s2
Suggests: r-cran-testthat, r-cran-taxize, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-spocc_1.2.3-1.ca2004.1_all.deb
Size: 303932
MD5sum: f21c4a5f24e03846223568880ba972bc
SHA1: 0c5be45135fba8f0b48cade81252d287915129dd
SHA256: 06ba0fb1d8bef7ed80dcdd27059864e51731641e69806927e0c98dc3cb786937
SHA512: e42fcf28a2dcec791e1f5cc30fd9a8ff5c7cfb2affd5af123dcf83dd370593325e1b65ef76a9e5c559c46fef0862c8052bd2f7d8dff1d4311e7d3a9e7011fe26
Homepage: https://cran.r-project.org/package=spocc
Description: CRAN Package 'spocc' (Interface to Species Occurrence Data Sources)
 A programmatic interface to many species occurrence data sources, including
 Global Biodiversity Information Facility ('GBIF'), 'iNaturalist', 'eBird',
 Integrated Digitized 'Biocollections' ('iDigBio'), 'VertNet', Ocean
 'Biogeographic' Information System ('OBIS'), and Atlas of Living Australia
 ('ALA'). Includes functionality for retrieving species occurrence data, and
 combining those data.

Package: r-cran-spoiler
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-spoiler_1.0.0-1.ca2004.1_all.deb
Size: 12000
MD5sum: d3ce3d681e57d64e9ddc8aa6bf8f3163
SHA1: b8145737133770c71ecc44c421a50d23616c5178
SHA256: 98fb692446bc41d39e4d7e5cea3da34326a382b36b12a5fc0f35402e43ac659a
SHA512: 4c067cd5429674356e7ccdadb1a640cfbcce819664cda8fede2bf4f7f95cbe9825fc094ed0c54d5a0dd8fb3a4000041ddd10186f531f91bd61ff45d396b2ea2b
Homepage: https://cran.r-project.org/package=spoiler
Description: CRAN Package 'spoiler' (Blur 'HTML' Elements in 'Shiny' Applications Using'Spoiler-Alert.js')
 It can be useful to temporarily hide some text or other HTML elements in
 'Shiny' applications. Building on 'Spoiler-Alert.js', it is possible to
 select the elements to hide at startup, to partially reveal them by hovering
 them, and to completely show them when clicking on them.

Package: r-cran-spomag
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4723
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-testthat, r-cran-caret, r-cran-kernlab, r-cran-randomforest, r-cran-readr
Filename: pool/dists/focal/main/r-cran-spomag_0.1.0-1.ca2004.1_all.deb
Size: 4512964
MD5sum: 70f4a26833201b98c5276720a9724cbc
SHA1: ca864f9b717fca4ce6c39441eae7e8fa5f6f858b
SHA256: c11924c5a49739ef48906b46ea49edd126331352e6c936bb3d321fc8ec89b640
SHA512: 4137439761a66e80f230e50618c6fee56eacb356a2b3013b0c945708d3db9ac9a7d979f0f7721f86d88406686a69eb29f07947e51b7c0f57022d856697b53d61
Homepage: https://cran.r-project.org/package=SpoMAG
Description: CRAN Package 'SpoMAG' (Probability of Sporulation Potential in MAGs)
 Implements an ensemble machine learning approach to predict the sporulation
 potential of metagenome-assembled genomes (MAGs) from uncultivated
 Firmicutes based on the presence/absence of sporulation-associated genes.

Package: r-cran-spongebob
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-fortunes, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-spongebob_0.4.0-1.ca2004.1_all.deb
Size: 45236
MD5sum: 0d0b638b4e38b0a7f4fe7e83ec4cab3b
SHA1: 4ab699ceacb8ceffb011cc621ff8234b26e1b13a
SHA256: f902b4dcbca45880eeeb7f501f06ff2a426f3818d99b1043ca9985e844b979f8
SHA512: 8ae6128b0ce56ae4816295dd2cf7e4b2bd72b5eb483a75ce230934618acf2fa413bf230f126bdf01f57d0a995616d49c9ee560b7da67ef1d09b1de07a48bdbc2
Homepage: https://cran.r-project.org/package=spongebob
Description: CRAN Package 'spongebob' (SpongeBob-Case Converter : spOngEboB-CASe CoNVertER)
 Convert text (and text in R objects) to Mocking SpongeBob case
 <https://knowyourmeme.com/memes/mocking-spongebob> and show them off in fun
 ways.  CoNVErT TexT (AnD TeXt In r ObJeCtS) To MOCkINg SpoNgebOb CAsE
 <https://knowyourmeme.com/memes/mocking-spongebob> aND shOw tHem OFf IN Fun
 WayS.

Package: r-cran-spongecake
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-jpeg, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-spongecake_0.1.2-1.ca2004.1_all.deb
Size: 19548
MD5sum: af71b2aeb04adb7407dea32ac010396e
SHA1: b3ebf5d45f16cf3bf7ec687d8762e058e208e5f7
SHA256: b7f0e3e256515da2af8c02700154cf1423d6f3e0aa161fe62c887b830b014de3
SHA512: 0bcd0ed7f03d1a5d0aa8268cdecca30f4bc353470e719dd0eaa14e9745350f4a0f98d783d0985b4b4cd046bb3d9efb65552dffaf6efbebd57f95187f9c765ed2
Homepage: https://cran.r-project.org/package=spongecake
Description: CRAN Package 'spongecake' (Transform a Movie into a Synthetic Picture)
 Transform a Movie into a Synthetic Picture. A frame every 10 seconds is
 summarized into one colour, then every generated colors are stacked
 together.

Package: r-cran-spooky
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-ggplot2, r-cran-readr, r-cran-lubridate, r-cran-imputets, r-cran-fancova, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-greybox, r-cran-philentropy, r-cran-entropy, r-cran-fastdummies
Filename: pool/dists/focal/main/r-cran-spooky_1.4.0-1.ca2004.1_all.deb
Size: 66756
MD5sum: 4782473e32091ce65dcf026c476be252
SHA1: 5b1495839d76f9e0a5610277bb2c90866c866d33
SHA256: bb73ce2bf8d047b509abaaf31e41705d66c05d0bd9a7969186fe18674cf6ca2c
SHA512: 2b70b40f84f7cbbeadaac04592415cefb4e59fea1993fe471e20af85aa7aabf33eec83bf163dfd7ea45208bf9a620fc480fc5063eb1676c1b9fd06bfbb5b7352
Homepage: https://cran.r-project.org/package=spooky
Description: CRAN Package 'spooky' (Time Feature Extrapolation Using Spectral Analysis andJack-Knife Resampling)
 Proposes application of spectral analysis and jack-knife resampling for
 multivariate sequence forecasting. The application allows for a fast random
 search in a compact space of hyper-parameters composed by Sequence Length
 and Jack-Knife Leave-N-Out.

Package: r-cran-spork
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-png, r-cran-latexpdf, r-cran-kableextra
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-spork_0.3.5-1.ca2004.1_all.deb
Size: 202176
MD5sum: 58c3ff366d608229efd774cab0a19e12
SHA1: 621c97310a37b7ad481e14652bef39a9b7f01345
SHA256: 6c289410fd4f1e75de8f76c929c441a002c67a91291b60bf4a866cd491bf7819
SHA512: 368e28084d5f98cd1a1d98efae5cbb232b4e82e599af4cc8ec062845d84b8f2c55b842f596d653ef6d1503ccfaf6e2d2b035b715945d6f10c1c89e9822919f38
Homepage: https://cran.r-project.org/package=spork
Description: CRAN Package 'spork' (Generalized Label Formatting)
 The 'spork' syntax describes label formatting concisely, supporting mixed
 nesting of subscripts and superscripts to arbitrary depth. It intends to be
 easy to read and write in plain text, and easy to convert to equivalent
 presentations in 'plotmath', 'latex', and 'html'.  Greek symbols and a
 multiplication symbol are explicitly supported. See ?as_spork and
 ?as_previews.

Package: r-cran-sportsanalytics
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-archetypes
Filename: pool/dists/focal/main/r-cran-sportsanalytics_0.2-1.ca2004.1_all.deb
Size: 118412
MD5sum: e9064c9a97e5a2f17972ebd6d4cc25c2
SHA1: 4a6490025524c79d4e1e5b3eab0dcb496ffc7299
SHA256: a7571a99d444ae4944cfac2350c0d74f8e2eee352d2d77efabb32f5aa812b105
SHA512: 3414ed310e620b59fcc54dd83a21a48a46f3eb380a3d7ce214a604bd8987f98c9b6fb272c3c980cc26a30f4324df4324885f57f5c9c13b04be411770b9e5c401
Homepage: https://cran.r-project.org/package=SportsAnalytics
Description: CRAN Package 'SportsAnalytics' (Infrastructure for Sports Analytics)
 The aim of this package is to provide infrastructure for sports analysis.
 Anyway, currently it is a selection of data sets, functions to fetch sports
 data, examples, and demos -- with the ambition to develop bit by bit a set
 of classes to represent general concepts of sports analysis.

Package: r-cran-sportscausal
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-causalimpact, r-cran-keras
Filename: pool/dists/focal/main/r-cran-sportscausal_1.0-1.ca2004.1_all.deb
Size: 35348
MD5sum: 2afaa2f32d942ed4bd2971eed9c04ae9
SHA1: 635087a5db56c6d04c0135b0fbbc5b049fafd69f
SHA256: 611e5d4bd4fed0b17e68c21eb98c62d416d3088dbea7b43539c4efb27ee36058
SHA512: 4ed2080aca8ecd9a80f873e256bd11813e65ff6c5e493659f0417eb90e55c79423fa923a77e619da4150ea81138491178a72920b5417ba0bf4c7d19d3802d9a0
Homepage: https://cran.r-project.org/package=SPORTSCausal
Description: CRAN Package 'SPORTSCausal' (Spillover Time Series Causal Inference)
 A time series causal inference model for Randomized Controlled Trial (RCT)
 under spillover effect. 'SPORTSCausal' (Spillover Time Series Causal
 Inference) separates treatment effect and spillover effect from given
 responses of experiment group and control group by predicting the response
 without treatment. It reports both effects by fitting the Bayesian
 Structural Time Series (BSTS) model based on 'CausalImpact', as described in
 Brodersen et al. (2015) <doi:10.1214/14-AOAS788>.

Package: r-cran-sportstour
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sportstour_0.1.0-1.ca2004.1_all.deb
Size: 22584
MD5sum: d026ad17dd64895a5d0dcc48cc6fc29b
SHA1: 47b52e476819b71dfae95d85951150798b382d53
SHA256: 21bda9ca21f612b9f1a52cb825ee48bcdfb2923963f8c0079c7e7627243815fc
SHA512: 1b2988408d110f49b0be4d784bbcf552b81045d287e59e35902ac796de1015b33974213caab48313d91bd3aa8f578ee393d1de7f64d07787ebfb1dd0dee33e50
Homepage: https://cran.r-project.org/package=SportsTour
Description: CRAN Package 'SportsTour' (Display Tournament Fixtures using Knock Out and Round RobinTechniques)
 Use of Knock Out and Round Robin Techniques in preparing tournament fixtures
 as discussed in the Book Health and Physical Education by 'Dr. V K
 Sharma'(2018,ISBN:978-93-5272-134-4).

Package: r-cran-sportyr
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4462
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggfittext, r-cran-ggplot2, r-cran-glue, r-cran-rlang
Suggests: r-cran-data.table, r-cran-gganimate, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-curl
Filename: pool/dists/focal/main/r-cran-sportyr_2.2.2-1.ca2004.1_all.deb
Size: 2749344
MD5sum: a22460268792a77be882b2b29b55ff3e
SHA1: 6963d625152758e09f22c5dcb74714d3fd15f382
SHA256: e30eb46180fbefd3441981526c98886b164c5c3dafd4ca11eba3104fdf86aae6
SHA512: fa363aa1040dd15a0b29ad820115dc0f1ee7af35afb18aaef7736edc62d59db77b50092efa0a2503a83dd304892ad236c2021813ca5d96303fd8953f81c1ada9
Homepage: https://cran.r-project.org/package=sportyR
Description: CRAN Package 'sportyR' (Plot Scaled 'ggplot' Representations of Sports Playing Surfaces)
 Create scaled 'ggplot' representations of playing surfaces.  Playing
 surfaces are drawn pursuant to rule-book specifications.  This package
 should be used as a baseline plot for displaying any type of tracking data.

Package: r-cran-spot
Architecture: all
Version: 2.11.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1449
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-deoptim, r-cran-ggplot2, r-cran-glmnet, r-cran-lagp, r-cran-mass, r-cran-nloptr, r-cran-plgp, r-cran-plotly, r-cran-rpart, r-cran-randomforest, r-cran-ranger, r-cran-rgenoud, r-cran-rsm
Suggests: r-cran-batchtools, r-cran-car, r-cran-farff, r-cran-knitr, r-cran-microbenchmark, r-cran-rmarkdown, r-cran-openml, r-cran-party, r-cran-rcolorbrewer, r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spot_2.11.14-1.ca2004.1_all.deb
Size: 1093224
MD5sum: a674c7716920a83ca7027bdc14f8a36c
SHA1: 67ca5b6aa2ab1642b660b9cb93dac33a7fd2dc04
SHA256: 1d613eab4b91f2f18691e0741f511473aab8fb7edae06cbb7bafc59781cf156e
SHA512: af99a725c5579da1990705c1f3b6a37f764652476b81417900ecdb1f464b9de1dbf30fe35067bd97c2f8d0aaba8dd35ba13ddf7f6d37e5f9352a58496c3de98c
Homepage: https://cran.r-project.org/package=SPOT
Description: CRAN Package 'SPOT' (Sequential Parameter Optimization Toolbox)
 A set of tools for model-based optimization and tuning of algorithms
 (hyperparameter tuning respectively hyperparameter optimization). It
 includes surrogate models, optimizers, and design of experiment approaches.
 The main interface is spot, which uses sequentially updated surrogate models
 for the purpose of efficient optimization. The main goal is to ease the
 burden of objective function evaluations, when a single evaluation requires
 a significant amount of resources.

Package: r-cran-spotgui
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shinybs, r-cran-smoof, r-cran-shiny, r-cran-shinydashboard, r-cran-spot, r-cran-gridextra, r-cran-shinyjs, r-cran-rhandsontable, r-cran-xml, r-cran-rclipboard, r-cran-plotly, r-cran-httpuv, r-cran-shinyfiles, r-cran-batchtools
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-spotgui_0.2.3-1.ca2004.1_all.deb
Size: 128648
MD5sum: d8316fd8ec8270c3a79c9fd0e1dcf597
SHA1: e01d1e3fa5acccff30f5a4e4f1b840386ad2041b
SHA256: c1f398c0ec7297c44c4859a2676cf985e0f3bb7231520884fdbe8448769cf009
SHA512: 73bc3465f68c97cce288d70c484bd29fa2eb9bf1879250ee2d995b4fd029ce750d2deb96ed43df7266dd298bd00f9422c64cb447b3280c69d62e077e557ca08d
Homepage: https://cran.r-project.org/package=spotGUI
Description: CRAN Package 'spotGUI' (Graphical User Interface for the Package 'SPOT')
 A graphical user interface for the Sequential Parameter Optimization Toolbox
 (package 'SPOT').  It includes a quick, graphical setup for spot,
 interactive 3D plots, export possibilities and more.

Package: r-cran-spotidy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spotidy_0.1.0-1.ca2004.1_all.deb
Size: 65596
MD5sum: 9d4deec3b977641c0907228204a1bd6b
SHA1: b598057e18442b3fce3ac417e3927c380534c282
SHA256: 53ff95be9407df19992acb4395399336a6b76995477ab1e9f7d2de4c4670c3ba
SHA512: ee1ad90df29c336c98b5d3bedff106c9cce081f5bbcc6073c0e54da9229af5db9ce43e3329bdf6073254d207e7636fdb5de7beef36493d4e8b1472cc4269bdeb
Homepage: https://cran.r-project.org/package=spotidy
Description: CRAN Package 'spotidy' (Providing Convenience Functions to Connect R with the SpotifyAPI)
 Providing convenience functions to connect R with the 'Spotify' application
 programming interface ('API'). At first it aims to help setting up the
 OAuth2.0 Authentication flow. The default output of the get_*() functions is
 tidy, but optionally the functions could return the raw response from the
 'API' as well. The search_*() and get_*() functions can be combined. See the
 vignette for more information and examples and the official Spotify for
 Developers website <https://developer.spotify.com/documentation/web-api/>
 for information about the Web 'API'.

Package: r-cran-spotifyr
Architecture: all
Version: 2.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 624
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-httr, r-cran-lubridate, r-cran-jsonlite, r-cran-readr, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-janitor, r-cran-rlang, r-cran-magrittr, r-cran-assertthat, r-cran-xml2
Suggests: r-cran-ggridges, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spotifyr_2.2.5-1.ca2004.1_all.deb
Size: 533084
MD5sum: d620666941a733ff8ca4fd2fa5ff52fc
SHA1: 309ce26dcf22762fb93e0666f23c15503423ac9f
SHA256: 715662aa0d52d0535d4e4d5ff19d40d0be4491e5c84f3f840b3d48b6e55af9ae
SHA512: 0286791d86783ec862428cabd08c22e999a7de70d69089a41644798cda56471dae0cc2a31ea508fc20a2ed861528d2bc046970861d25552d13deed87014801f8
Homepage: https://cran.r-project.org/package=spotifyr
Description: CRAN Package 'spotifyr' (R Wrapper for the 'Spotify' Web API)
 An R wrapper for pulling data from the 'Spotify' Web API
 <https://developer.spotify.com/documentation/web-api/> in bulk, or post
 items on a 'Spotify' user's playlist.

Package: r-cran-spotmisc
Architecture: all
Version: 1.19.52-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4498
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-callr, r-cran-dplyr, r-cran-ggplot2, r-cran-ggally, r-cran-keras, r-cran-magrittr, r-cran-mlr, r-cran-metrics, r-cran-plotly, r-cran-rcolorbrewer, r-cran-reticulate, r-cran-rlang, r-cran-rpart.plot, r-cran-rsample, r-cran-sensitivity, r-cran-smoof, r-cran-spot, r-cran-tensorflow, r-cran-tfdatasets
Suggests: r-cran-farff, r-cran-knitr, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-spotmisc_1.19.52-1.ca2004.1_all.deb
Size: 4309796
MD5sum: 1cc668c50af676535f2c1816f07413c6
SHA1: a31101997d2e68fda7b548ecede58892d4060e53
SHA256: b30db8e8546e887d85e28fae535763d0cd5c9e2d0ed21687971c16d68f13f7e7
SHA512: 95fb2af3a05f3893102c5c9d17991a18b49fa6c919429aa0e277e5f98d73a7accabd4647369fbfa4de4604f037ba2934a790a2703936d6f1b5b9e5fd38076265
Homepage: https://cran.r-project.org/package=SPOTMisc
Description: CRAN Package 'SPOTMisc' (Misc Extensions for the 'SPOT' Package)
 Implements additional models, simulation tools, and interfaces as extensions
 to 'SPOT'.  It provides tools for hyperparameter tuning via
 'keras/tensorflow', interfacing 'mlr', for performing Markov chain
 simulations, and for sensitivity analysis based on sequential bifurcation
 methods as described in Bettonvil and Kleijnen (1996).  Furthermore,
 additional plotting functions for output from 'SPOT' runs are implemented.
 Bartz-Beielstein T, Lasarczyk C W G, Preuss M (2005)
 <doi:10.1109/CEC.2005.1554761>.  Bartz-Beielstein T, Zaefferer M, Rehbach F
 (2021) <arXiv:1712.04076>.  Bartz-Beielstein T, Rehbach F, Sen A, Zaefferer
 M <arXiv:2105.14625>.  Bettonvil, B, Kleijnen JPC (1996)
 <doi:10.1016/S0377-2217(96)00156-7>.

Package: r-cran-spotoroo
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 811
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-geodist, r-cran-progress, r-cran-dplyr, r-cran-cli, r-cran-patchwork, r-cran-ggrepel, r-cran-ggextra, r-cran-ggbeeswarm, r-cran-ggplot2
Suggests: r-cran-sf, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-spotoroo_0.1.5-1.ca2004.1_all.deb
Size: 583768
MD5sum: 9202dc4f6830a4e458cf0195b6d2c7fe
SHA1: 297b6b6e8c5cf75535c77609cc887bed83eb7d97
SHA256: f063124b6b27fda7baa5f46edf9c9ea72430985bb806d465efc429e5abfcc04e
SHA512: 0819de8fcc9e9001aa02dcf40c07b5dfc52a4ae441a8a1f1ec8eba1bc3e0b9ed1340abdb4833f343f083e84b3430b34990454fb4a091303f7fac7859efd331b9
Homepage: https://cran.r-project.org/package=spotoroo
Description: CRAN Package 'spotoroo' (Spatiotemporal Clustering of Satellite Hot Spot Data)
 An algorithm to cluster satellite hot spot data spatially and temporally.

Package: r-cran-spots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-rspectra
Suggests: r-cran-ape, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-spots_0.1.0-1.ca2004.1_all.deb
Size: 315568
MD5sum: fa17f2e2606485122a24d78d5a6f1256
SHA1: 300811337119a9374a77e38bbedb624bc4240214
SHA256: 2902c9545653670f9ac18c4e0c3badadd92325c08a907a71f0009ece90eb98ae
SHA512: 7dc9e07910591d09b951cbf2e6e5bc395bc9cbe0f06863bbd54fa16fd996d7d36e0362cd3cbe591ad0036bd0b72019453612e277e036bd173593f1e3a216541f
Homepage: https://cran.r-project.org/package=spots
Description: CRAN Package 'spots' (Spatial Component Analysis)
 The spots package is designed for spatial omics (10x Visium, etc.) data
 analysis. It performs various statistical analyses and tests, including
 spatial component analysis (SCA), both global and local spatial statistics,
 such as univariate and bivariate Moran's I, Getis-Ord Gi* statistics, etc.
 See Integrated protein and transcriptome high-throughput spatial profiling
 (2022) <doi:10.1101/2022.03.15.484516> for more details.

Package: r-cran-spotsampling
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-balancedsampling, r-cran-sampling, r-cran-pracma, r-cran-wavesampling, r-cran-mass
Filename: pool/dists/focal/main/r-cran-spotsampling_0.1.0-1.ca2004.1_all.deb
Size: 73220
MD5sum: 4d051de848ec4db7fbb655bf97e6a15e
SHA1: 2ec08d1d7734129fc470ef8882700c76bd3e83fd
SHA256: a5161c66abc3ab7b4f4e07094ad686694a2b624d744920ef4e728044dc1d5eaf
SHA512: c48d3a3878cf7fabdf782db12af9379599e5f754beecfb7b14382f8fdf71d86f35e53f99a1e99e8b630caceac88002f9e21938e684f84e3f7877751a09e906b4
Homepage: https://cran.r-project.org/package=SpotSampling
Description: CRAN Package 'SpotSampling' (SPatial and Optimally Temporal (SPOT) Sampling)
 In spatial data, information of two neighboring units are generally very
 similar.  For spatial sampling, it is therefore more efficient to select
 samples that are well spread out in space. Often, the interest lies not only
 in estimating a measure at one point in time, but rather in estimating
 several points in time to also study the evolution.  Three new methods
 called Orfs (Optimal Rotation with Fixed sample Size), Orsp (Optimal
 Rotation with Spread sample), and Spot (Spatial and Optimally Temporal
 Sampling) are implemented in this package. Orfs allows to select temporal
 samples with fixed size. Orsp selects spatio-temporal samples with random
 size that are well spread out in space at each point in time. And Spot
 generates spread sample with fixed sample size at each wave. These methods
 provide an optimal time rotation of the selected units using the systematic
 sampling.

Package: r-cran-spouse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spouse_0.1.0-1.ca2004.1_all.deb
Size: 16724
MD5sum: bf8ab85853a0b800187ffd6b3c451ce2
SHA1: 90039eb45095f92ed29f0354ae74c88e26ee1690
SHA256: 13f622e9f9e358bb2d72da06342ec8422bf14bdb8672e6106b90e59ac526878d
SHA512: 25429e041dae2116812438a8989ccc507b74191bce5b47cbba2da317949dae87c1ff19ee807a1a788e2c70af8d62bc141ffce0cb640ad347841c4893ea36ed7c
Homepage: https://cran.r-project.org/package=SPOUSE
Description: CRAN Package 'SPOUSE' (Scatter Plots Over-Viewed Using Summary Ellipses)
 Summary ellipses superimposed on a scatter plot contain all bi-variate
 summary statistics for regression analysis. Furthermore, the outer ellipse
 flags potential outliers. Multiple groups can be compared in terms of
 centers and spreads as illustrated in the examples.

Package: r-cran-spower
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-simdesign, r-cran-cocor, r-cran-car, r-cran-polycor, r-cran-parallelly, r-cran-ggplot2, r-cran-plotly, r-cran-lavaan, r-cran-envstats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-vgam, r-cran-copula, r-cran-pwr
Filename: pool/dists/focal/main/r-cran-spower_0.2.3-1.ca2004.1_all.deb
Size: 514748
MD5sum: e8f9482c29134396c2096f82bd85e5cb
SHA1: f4b13fe6050543cf9cf2ef837febe8fd26e7eab3
SHA256: 2509c6b974780d74bba9b3d9843bb5ad015188441f69fa9357396d2ad34edb01
SHA512: d30e24e18fe4a800991d9b1d5d5ad3906644dd5c40970c57f4e26c3854a935f3b31a6ec9da75a13dd0d8a09c8142a7c0f10ef7aa8e7d63022227d63f96bcd27e
Homepage: https://cran.r-project.org/package=Spower
Description: CRAN Package 'Spower' (Power Analyses using Monte Carlo Simulations)
 Provides a general purpose simulation-based power analysis API for routine
 and customized simulation experimental designs.  The package focuses
 exclusively on Monte Carlo simulation variants of (expected) prospective
 power analyses, criterion analyses, compromise analyses, sensitivity
 analyses, and a priori analyses. The default simulation experiment functions
 found within the package provide stochastic variants of the power analyses
 subroutines found in the G*Power 3.1 software (Faul, Erdfelder, Buchner, and
 Lang, 2009) <doi:10.3758/brm.41.4.1149>, along with various other parametric
 and non-parametric power analysis examples (e.g., mediation analyses).
 Supporting functions are also included, such as for building empirical power
 curve estimates, which utilize a similar API structure.

Package: r-cran-sppcomb
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-sppcomb_0.1-1.ca2004.1_all.deb
Size: 259292
MD5sum: e7d543e831c802086c75398876f7b3c4
SHA1: 8df44a138f8e348d8bb07a162f9a87dc32825445
SHA256: 2a4126413ec78349e46422e9354ada37e6145a8f66dc32cff7fbac4e6e4ce282
SHA512: 266c1661384ab85c911d238a7e28faedbf93e7abd7dc9cb0d069dbf9b2b02e7fec44c6ed5b05c12ce6e2c9111f7ed4318abd804678da3eb89e16040f3e5eb3b4
Homepage: https://cran.r-project.org/package=SPPcomb
Description: CRAN Package 'SPPcomb' (Combining Different Spatial Datasets in Cancer Risk Estimation)
 We propose a novel two-step procedure to combine epidemiological data
 obtained from diverse sources with the aim to quantify risk factors
 affecting the probability that an individual develops certain disease such
 as cancer. See Hui Huang, Xiaomei Ma, Rasmus Waagepetersen, Theodore R.
 Holford, Rong Wang, Harvey Risch, Lloyd Mueller & Yongtao Guan (2014) A New
 Estimation Approach for Combining Epidemiological Data From Multiple
 Sources, Journal of the American Statistical Association, 109:505, 11-23,
 <doi:10.1080/01621459.2013.870904>.

Package: r-cran-spphpr
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 369
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spphpr_1.1.5-1.ca2004.1_all.deb
Size: 336960
MD5sum: 107fa7354486dffbb5b1dee07688b49a
SHA1: 798b92b5cba4912ba210fddef70effc9a7aadbb9
SHA256: d0fee8d2c2934096be8040b3cf5f8e39ede72e98815f53753dcef564fb64f3c4
SHA512: e544222b193afba6711fb6b304961e64c0137e6de6441cb275377b48b7ee86d41a781e14b3b5d24bb26f81c04fffd7c3766b68ab33163a64d88b9d4cbb037b4c
Homepage: https://cran.r-project.org/package=spphpr
Description: CRAN Package 'spphpr' (Spring Phenological Prediction)
 Predicts the occurrence times (in day-of-year) of spring phenological
 events. Three methods, including the accumulated degree days (ADD) method,
 the accumulated days transferred to a standardized temperature (ADTS)
 method, and the accumulated developmental progress (ADP) method, were used.
 See Shi et al. (2017a) <doi:10.1016/j.agrformet.2017.04.001> and Shi et al.
 (2017b) <doi:10.1093/aesa/sax063> for details.

Package: r-cran-sppop
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qpdf, r-cran-numbers
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sppop_0.1.0-1.ca2004.1_all.deb
Size: 58480
MD5sum: feae76c4bbe08fb2772ee6fff66fe36c
SHA1: 5031011954a239e1d3850bccd70e3db4b31f9490
SHA256: d60d35b38d4b26f07826e524add2bbb717cc61534ce868d01a3b5ecdd3652289
SHA512: 175cdfa049eb864b65a3018a676707967dd66dcb204bcd7959a2067f9c55d2462160ffa128d7d4c08817d368c6f466ee17ebbafd6e24fa9d0504a64566d6ed7b
Homepage: https://cran.r-project.org/package=SpPOP
Description: CRAN Package 'SpPOP' (Generation of Spatial Population under Different Levels ofRelationships among Variables)
 The developed package can be used to generate a spatial population for
 different levels of relationships among the dependent and auxiliary
 variables along with spatially varying model parameters. A spatial layout is
 designed as a [0,k-1]x[0,k-1] square region on which observations are
 collected at (k x k) lattice points with a unit distance between any two
 neighbouring points along the horizontal and vertical axes. For method
 details see Chao, Liu., Chuanhua, Wei. and Yunan, Su.
 (2018).<doi:10.1080/10485252.2018.1499907>.  The generated spatial
 population can be utilized in Geographically Weighted Regression model based
 analysis for studying the spatially varying relationships among the
 variables. Furthermore, various statistical analysis can be performed on
 this spatially generated data.

Package: r-cran-spqdep
Architecture: all
Version: 0.1.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1601
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-gtools, r-cran-igraph, r-cran-magrittr, r-cran-matrix, r-cran-purrr, r-cran-rsample, r-cran-sf, r-cran-sp, r-cran-spatialreg, r-cran-spdep, r-cran-tidyr, r-cran-units
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spqdep_0.1.3.6-1.ca2004.1_all.deb
Size: 1317868
MD5sum: 9bd28535ee00c7b4ff676ef26a359153
SHA1: ec748526ac63a3d0e5b95993ab1f101c9f3a6497
SHA256: 4313355a9453fc25183ebef26d74806c3b32d62bcb82868b1ec546837de2fed4
SHA512: 17e68a178166d2f02bdfe6d1aeeffbd17b079c7568589d04ace905f460115c0f1751f1e135f95dc81cbbe71af6af98d5678177889caacfe77307bc2265ea9f6f
Homepage: https://cran.r-project.org/package=spqdep
Description: CRAN Package 'spqdep' (Testing for Spatial Independence of Cross-Sectional QualitativeData)
 Testing for Spatial Dependence of Qualitative Data in Cross Section. The
 list of functions includes join-count tests, Q test, spatial scan test,
 similarity test and spatial runs test. The methodology of these models can
 be found in <doi:10.1007/s10109-009-0100-1> and
 <doi:10.1080/13658816.2011.586327>.

Package: r-cran-spreda
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 896
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-spreda_1.2-1.ca2004.1_all.deb
Size: 855276
MD5sum: 34c9e2d26fa014c9887d66fa2c76b792
SHA1: 9a90cdac72953d9ac9656ccfcd9b5d21adee4e38
SHA256: 4d723c663d97047b5047682d36aaab32bd6f5e1edf9095aea7febbf3220e1ab1
SHA512: e921f119aafd7241e0e34c257caffc2196eeed1f673bc574ad01c0de9100821513a3aa9011b0e219166342b498a147b9d9ffd07439ae4788258e5568ae6d6f9d
Homepage: https://cran.r-project.org/package=SPREDA
Description: CRAN Package 'SPREDA' (Statistical Package for Reliability Data Analysis)
 The Statistical Package for REliability Data Analysis (SPREDA) implements
 recently-developed statistical methods for the analysis of reliability data.
 Modern technological developments, such as sensors and smart chips, allow us
 to dynamically track product/system usage as well as other environmental
 variables, such as temperature and humidity. We refer to these variables as
 dynamic covariates. The package contains functions for the analysis of
 time-to-event data with dynamic covariates and degradation data with dynamic
 covariates. The package also contains functions that can be used for
 analyzing time-to-event data with right censoring, and with left truncation
 and right censoring. Financial support from NSF and DuPont are acknowledged.

Package: r-cran-spreg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-ucminf
Filename: pool/dists/focal/main/r-cran-spreg_1.0-1.ca2004.1_all.deb
Size: 30812
MD5sum: a9dc7b434d454b8926e18ecfe8a376d4
SHA1: a465799ecb4e39fb20092910193643298c549e6d
SHA256: e1fde9fd9c9821d2ad2d5d0f550de9980fb34092e7c1f52e6202b6eab62f36d5
SHA512: f881e7c1eddb96b3cc4d3878726ec80cbb699b5a9c533216b02851dc69a268fbe6bb16c3f83ef1ba6275e2c13dbf633ea21e3feccaf36dbb48f154c0d82422d1
Homepage: https://cran.r-project.org/package=SPreg
Description: CRAN Package 'SPreg' (Bias Reduction in the Skew-Probit Model for a Binary Response)
 Provides a function for the estimation of parameters in a binary regression
 with the skew-probit link function.  Naive MLE, Jeffrey type of prior and
 Cauchy prior type of penalization are implemented, as described in DongHyuk
 Lee and Samiran Sinha (2019+) <doi:10.1080/00949655.2019.1590579>.

Package: r-cran-spreval
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-timedate, r-cran-interp
Suggests: r-cran-fields, r-cran-knitr, r-cran-rmarkdown, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-spreval_1.1.0-1.ca2004.1_all.deb
Size: 676712
MD5sum: 30db2496a68bab8457621d616ea4177b
SHA1: a5405681bc47bf3a6ae2f9c819dce5325a067cad
SHA256: de9438f9cf9250d9bcde91fd8f5d9737cadde5c6121365500f962c40b1279cee
SHA512: e45ee67de315a523136cb48082cba3750960eb0c9d802fec12f233fa79e43b2193b7c2afb1bbe3c74189c557ea9982d88189e4c9f99d4719a5e8e90d6e0523aa
Homepage: https://cran.r-project.org/package=spreval
Description: CRAN Package 'spreval' (Evaluation of Sprinkler Irrigation Uniformity and Efficiency)
 Processing and analysis of field collected or simulated sprinkler system
 catch data (depths) to characterize irrigation uniformity and efficiency
 using standard and other measures. Standard measures include the
 Christiansen coefficient of uniformity (CU) as found in Christiansen,
 J.E.(1942, ISBN:0138779295, "Irrigation by Sprinkling"); and distribution
 uniformity (DU), potential efficiency of the low quarter (PELQ), and
 application efficiency of the low quarter (AELQ) that are implementations of
 measures of the same notation in Keller, J. and Merriam, J.L. (1978) "Farm
 Irrigation System Evaluation: A Guide for Management"
 <https://pdf.usaid.gov/pdf_docs/PNAAG745.pdf>. spreval::DU.lh is similar to
 spreval::DU but is the distribution uniformity of the low half instead of
 low quarter as in DU.  spreval::PELQT is a version of spreval::PELQ adapted
 for traveling systems instead of lateral move or solid-set sprinkler
 systems. The function spreval::eff is analogous to the method used to
 compute application efficiency for furrow irrigation presented in Walker, W.
 and Skogerboe, G.V. (1987,ISBN:0138779295, "Surface Irrigation: Theory and
 Practice"),that uses piecewise integration of infiltrated depth compared
 against soil-moisture deficit (SMD), when the argument "target" is set equal
 to SMD.  The other functions contained in the package provide graphical
 representation of sprinkler system uniformity, and other standard univariate
 parametric and non-parametric statistical measures as applied to sprinkler
 system catch depths. A sample data set of field test data spreval::catchcan
 (catch depths) is provided and is used in examples and vignettes.
 Agricultural systems emphasized, but this package can be used for landscape
 irrigation evaluation, and a landscape (turf) vignette is included as an
 example application.

Package: r-cran-sprex
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-swfscmisc
Filename: pool/dists/focal/main/r-cran-sprex_1.4.3-1.ca2004.1_all.deb
Size: 72712
MD5sum: f6afa06e51c899c07564fddd61638cde
SHA1: 7bdf496dae4a90e2a7c806e450a64e3d96d117df
SHA256: 87ca5b1b1b395160136631d00def2942e16dd60a74236750e594d1a204112af2
SHA512: 450bc250672286f4c6536a98a6b302460be70594c36b8a2f4b3ba176535e8156546cfedd5ca1411b90783089b148c63eec35f0b1d01904eea68beab9846731e2
Homepage: https://cran.r-project.org/package=sprex
Description: CRAN Package 'sprex' (Species Richness and Extrapolation)
 Functions for calculating species richness for rarefaction and
 extrapolation, primarily non-parametric species richness such as jackknife,
 Chao1, and ACE. Also available are functions for plotting species richness
 and extrapolation curves, and computing standard diversity and entropy
 indices.

Package: r-cran-springpheno
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-springpheno_0.5.0-1.ca2004.1_all.deb
Size: 149764
MD5sum: 1613dcdf92047f10d9623edec5f9c188
SHA1: 16e2e7725ce43ac472d3051affe096fac93e2310
SHA256: a209d4c053459cfe849137aad87f66d0615fac7ba698e0e65fcef729878ad65f
SHA512: e741a73ee9ea037496569c3fe97d535a42be3c1f2ae33b29b0af1693ad581093170741e135e08e326c8863079908ee0a1e8b0e1541c4b39d8f9265d24643be1c
Homepage: https://cran.r-project.org/package=springpheno
Description: CRAN Package 'springpheno' (Spring Phenological Indices)
 Computes the extended spring indices (SI-x) and false spring exposure
 indices (FSEI). The SI-x indices are standard indices used for analysis in
 spring phenology studies. In addition, the FSEI is also from research on the
 climatology of false springs and adjusted to include an early and late false
 spring exposure index. The indices include the first leaf index, first bloom
 index, and false spring exposure indices, along with all calculations for
 all functions needed to calculate each index. The main function returns all
 indices, but each function can also be run separately.  Allstadt et al.
 (2015) <doi: 10.1088/1748-9326/10/10/104008> Ault et al. (2015) <doi:
 10.1016/j.cageo.2015.06.015> Peterson and Abatzoglou (2014) <doi:
 10.1002/2014GL059266> Schwarz et al. (2006) <doi:
 10.1111/j.1365-2486.2005.01097.x> Schwarz et al. (2013) <doi:
 10.1002/joc.3625>.

Package: r-cran-springsteen
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 993
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-devtools, r-cran-rlang
Suggests: r-cran-tidytext, r-cran-dplyr, r-cran-lubridate, r-cran-readr, r-cran-stringr, r-cran-magrittr, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-springsteen_0.1.0-1.ca2004.1_all.deb
Size: 720960
MD5sum: 0570becfae5b7d3970bb89e82dc9da18
SHA1: 7f7c4c91afe2b5ad2e274e89d90027eb636bb03d
SHA256: 4cdea1a258804c57d77ddf52831408992f72a3ab84d766d40c37c01792d5a575
SHA512: 6dc8e671f7af5c93b2939b18b6212bb9a3132d22fa387341f3e85db3142f552babc307ce3e14fddf00af1fd04af4b03bbecaaa0023c8d98a4abb1731fdf3a758
Homepage: https://cran.r-project.org/package=spRingsteen
Description: CRAN Package 'spRingsteen' (All Things Data and Springsteen)
 An R data package containing setlists from all Bruce Springsteen concerts
 over 1973-2021.  Also includes all his song details such as lyrics and
 albums. Data extracted from: <http://brucebase.wikidot.com/>.

Package: r-cran-sprsmdl
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sprsmdl_0.1-0-1.ca2004.1_all.deb
Size: 24672
MD5sum: 8a42eef21eed1aebb9b3ae7a98e4c68c
SHA1: 7e93dde14b2711626934381d9548d7036af9478e
SHA256: 982e4d95e9962f5b5be2f78ea7d9afca758a740ad956b49fc9d565b4ea1c2f22
SHA512: 67b5ae948ff34df267da18e28e7daa3ae56f92cd0ae8e1e3a10a65104453b70f29212fcb4a22ea762d1e9ea4707238bc7a0a95e80f47723bd3c145cd601d47c9
Homepage: https://cran.r-project.org/package=sprsmdl
Description: CRAN Package 'sprsmdl' (Sparse modeling toolkit)
 R functions to mine sparse models from data.

Package: r-cran-sprt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sprt_1.0-1.ca2004.1_all.deb
Size: 53256
MD5sum: eb32302e0db481ce661a4073d312abde
SHA1: c05b17aa6c43c77cdae409b73443367573d09a89
SHA256: 7ea398f20992554c121949e3e312388a80de9078f83ad933fb7e2046b2dc1fb3
SHA512: 61121725e1779b26c4eb41502c39115073d877f9aca9a562a2a9e2a6701c28fb0011e581f0f0918fc00d070b23f2a76018589d21d379e5e13fe0926ee2bb3297
Homepage: https://cran.r-project.org/package=SPRT
Description: CRAN Package 'SPRT' (Wald's Sequential Probability Ratio Test)
 Perform Wald's Sequential Probability Ratio Test on variables with a Normal,
 Bernoulli, Exponential and Poisson distribution. Plot acceptance and
 continuation regions, or create your own with the help of closures.

Package: r-cran-sprtt
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4581
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-mbess, r-cran-purrr, r-cran-glue, r-cran-ggplot2, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-testthis, r-cran-effsize, r-cran-effectsize, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-sprtt_0.2.0-1.ca2004.1_all.deb
Size: 809980
MD5sum: 97cd837016cb1ff23ff39f39fef148b7
SHA1: f773e2f405d5bf4788a73437e62644c51808ecd6
SHA256: 447ddbfea4abf4ea2ca626a65802dc9b0d2ab4ab582fa767e41f9af73c00bb56
SHA512: 3011bd2353d1a4d15d1b930dde7dc0cb09a1a602438dfcf16b7c3c1bab6662ef3b1a565306746c9d802ce1653cd630d1dcf9202150ddc1332c4ac5a88ae3670d
Homepage: https://cran.r-project.org/package=sprtt
Description: CRAN Package 'sprtt' (Sequential Probability Ratio Tests Toolbox)
 It is a toolbox for Sequential Probability Ratio Tests (SPRT), Wald (1945)
 <doi:10.2134/agronj1947.00021962003900070011x>.  SPRTs are applied to the
 data during the sampling process, ideally after each observation.  At any
 stage, the test will return a decision to either continue sampling or
 terminate and accept one of the specified hypotheses.  The seq_ttest()
 function performs one-sample, two-sample, and paired t-tests for testing
 one- and two-sided hypotheses (Schnuerch & Erdfelder (2019)
 <doi:10.1037/met0000234>).  The seq_anova() function allows to perform a
 sequential one-way fixed effects ANOVA (Steinhilber et al. (2023)
 <doi:10.31234/osf.io/m64ne>).  Learn more about the package by using
 vignettes "browseVignettes(package = "sprtt")" or go to the website
 <https://meikesteinhilber.github.io/sprtt/>.

Package: r-cran-sps
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sps_0.6.0-1.ca2004.1_all.deb
Size: 120896
MD5sum: 04ca1415fb612759acb5a520c6161681
SHA1: c2b0a3f4e315012eac191bd9f9f63b8f079c2b5c
SHA256: 72caf896ae9c32cccc251c42901bbca44b1ce7e5eb42beb242c31e3a879bc6f2
SHA512: 92612aafc1e36b963fbef007200b4a11fbfdce36c7980913063e18d7e4c6cfaa8b131b41a02d462ebf734d796f393387646809079da7ed123479594be352a841
Homepage: https://cran.r-project.org/package=sps
Description: CRAN Package 'sps' (Sequential Poisson Sampling)
 Sequential Poisson sampling is a variation of Poisson sampling for drawing
 probability-proportional-to-size samples with a given number of units, and
 is commonly used for price-index surveys. This package gives functions to
 draw stratified sequential Poisson samples according to the method by
 Ohlsson (1998, ISSN:0282-423X), as well as other order sample designs by
 Rosén (1997, <doi:10.1016/S0378-3758(96)00186-3>), and generate appropriate
 bootstrap replicate weights according to the generalized bootstrap method by
 Beaumont and Patak (2012, <doi:10.1111/j.1751-5823.2011.00166.x>).

Package: r-cran-spscomps
Architecture: all
Version: 0.3.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 446
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-assertthat, r-cran-stringr, r-cran-glue, r-cran-magrittr, r-cran-shinytoastr, r-cran-shinyace, r-cran-htmltools, r-cran-r6, r-cran-crayon
Suggests: r-cran-testthat, r-cran-shinyjqui, r-cran-spsutil
Filename: pool/dists/focal/main/r-cran-spscomps_0.3.3.0-1.ca2004.1_all.deb
Size: 280104
MD5sum: 84141da3d92d082b4ee911bb4ed3f072
SHA1: 7cae66bb25fa93e8d013ac13a8a15614cac3196c
SHA256: c1f06a156a894bc2cb75962e8c8145df3fa1be2bdbabceafe857f38f0d435e47
SHA512: 60af052b72cb9b3eba260e93119980efbcafab03689ff920d6a4512883fe77db5a2ac6b9d60924852e5b041d4ff54f51b72e895f4fb9d8d6b8693da888449152
Homepage: https://cran.r-project.org/package=spsComps
Description: CRAN Package 'spsComps' ('systemPipeShiny' UI and Server Components)
 The systemPipeShiny (SPS) framework comes with many UI and server
 components. However, installing the whole framework is heavy and takes some
 time. If you would like to use UI and server components from SPS in your own
 Shiny apps, do not hesitate to try this package.

Package: r-cran-spselect
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tester, r-cran-magic, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-spselect_0.0.1-1.ca2004.1_all.deb
Size: 93432
MD5sum: 1e95808e459e00993944ced542e36af9
SHA1: d45f8ab3ee868bae9a050e065d10fe68a487020b
SHA256: 95393987dfc1111be7a3fc607c631ed73a0cab8b87af8e4bc5298c5adbfa4c54
SHA512: f033af6ba8ae01e19fae6ca229bb168ffec896569aebc8a4dbc007fe379f0c7c47e2132c11562eb9990162fe2be9673e8a822ef95690788888e8c26c071377d6
Homepage: https://cran.r-project.org/package=spselect
Description: CRAN Package 'spselect' (Selecting Spatial Scale of Covariates in Regression Models)
 Fits spatial scale (SS) forward stepwise regression, SS incremental forward
 stagewise regression, SS least angle regression (LARS), and SS lasso models.
 All area-level covariates are considered at all available scales to enter a
 model, but the SS algorithms are constrained to select each area-level
 covariate at a single spatial scale.

Package: r-cran-spsh
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 223
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-lhs, r-cran-pracma, r-cran-fme, r-cran-hypergeo, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-spsh_1.1.0-1.ca2004.1_all.deb
Size: 183124
MD5sum: 6bc4c682b4abfb9784b65f47d87b80ed
SHA1: fb29024aa44933ce0e79dbc6e32d4a7f3e036332
SHA256: 0ba8b83dfb03cc50cfad54589f477f01a1b8f4d02a8eee058ca3bfbec536b427
SHA512: 2ae25cef27257742a1898d84bd3b7df23f9df54873c4ada0701c44d9acd7da964e71c1693b1f88e28804f9752118f4b942a96d11c62f9e16235042e2d395266d
Homepage: https://cran.r-project.org/package=spsh
Description: CRAN Package 'spsh' (Estimation and Prediction of Parameters of Various SoilHydraulic Property Models)
 Estimates model parameters of soil hydraulic property functions by inverting
 measured data. A wide range of hydraulic models, weighting schemes, global
 optimization algorithms, Markov chain Monte Carlo samplers, and extended
 statistical analyses of results are provided.  Prediction of soil hydraulic
 property model parameters and common soil properties using pedotransfer
 functions is facilitated.  Parameter estimation is based on identically and
 independentally distributed (weighted) model residuals, and simple model
 selection criteria (Hoege, M., Woehling, T., and Nowak, W. (2018)
 <doi:10.1002/2017WR021902>) can be calculated.  The included models are the
 van Genuchten-Mualem in its unimodal, bimodal and trimodal form, the the
 Kosugi 2 parametric-Mualem model, and the Fredlund-Xing model.  All models
 can be extended to account for non-capillary water storage and conductivity
 (Weber, T.K.D., Durner, W., Streck, T. and Diamantopoulos, E. (2019)
 <doi:10.1029/2018WR024584>.  The isothermal vapour conductivity (Saito, H.,
 Simunek, J. and Mohanty, B.P. (2006) <doi:10.2136/vzj2006.0007>) is
 calculated based on volumetric air space and a selection of different
 tortuosity models: (Grable, A.R., Siemer, E.G. (1968)
 <doi:10.2136/sssaj1968.03615995003200020011x>, Lai, S.H., Tiedje J.M.,
 Erickson, E. (1976) <doi:10.2136/sssaj1976.03615995004000010006x>, Moldrup,
 P., Olesen, T., Rolston, D.E., and Yamaguchi, T. (1997)
 <doi:10.1097/00010694-199709000-00004>, Moldrup, P., Olesen, T., Yoshikawa,
 S., Komatsu, T., and Rolston, D.E. (2004) <doi:10.2136/sssaj2004.7500>,
 Moldrup, P., Olesen, T., Yoshikawa, S., Komatsu, T., and Rolston, D.E.
 (2005) <doi:10.1097/01.ss.0000196768.44165.1f>, Millington, R.J., Quirk,
 J.P. (1961) <doi:10.1039/TF9615701200>, Penman, H.L. (1940)
 <doi:10.1017/S0021859600048164>, and Xu, X, Nieber, J.L. Gupta, S.C. (1992)
 <doi:10.2136/sssaj1992.03615995005600060014x>).

Package: r-cran-spsi
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-spsi_0.1-1.ca2004.1_all.deb
Size: 88796
MD5sum: 57e7491f3c4ab229343c1e23e0da9795
SHA1: cb410fa3f1a7889acdce5d5c9d96c236666b28c7
SHA256: f74920e693c1d650780ecfd865a999b6697ca217377e6062d852c86cca13fedf
SHA512: 195183a10aeefd00dbb4705a0dad6c80634c625658c71ff826cebd6b14afa37b5896ff86eb2f073d5b6c120faac90c032a62ba0e8c2f033b5de55b42536fa81b
Homepage: https://cran.r-project.org/package=spsi
Description: CRAN Package 'spsi' (Shape-Preserving Uni-Variate and Bi-Variate Spline Interpolation)
 Program uses method of polynomial of variable degrees to interpolate gridded
 data preserving monotonicity and/or convexity or none. Method is implemented
 for univariate and bivariate cases. If values of derivatives are provided,
 spline will fix them,if not program will estimate them numerically. Package
 written purely in R.

Package: r-cran-spsl
Architecture: all
Version: 0.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-spsl_0.1-9-1.ca2004.1_all.deb
Size: 108620
MD5sum: b8e9cfce85945bd63122acbacba739e2
SHA1: eb3430efb90d57f75e5e696f5eb05066bb60d7fc
SHA256: e6a88751ad12f9d0a41b63820c8e64c6b1b71533375abeeedffc9540d864d8b1
SHA512: 461d4c5df123b58280051f82d917b587eb565d5c7e6743790cb33578fef347459a3b69a3e57c0061ec77c869a99c4f5f2b7ed4e0c0ea3e7ddbb58782a8c3c2fa
Homepage: https://cran.r-project.org/package=SPSL
Description: CRAN Package 'SPSL' (Site Percolation on Square Lattices (SPSL))
 Provides basic functionality for labeling iso- & anisotropic percolation
 clusters on 2D & 3D square lattices with various lattice sizes, occupation
 probabilities, von Neumann & Moore (1,d)-neighborhoods, and random variables
 weighting the percolation lattice sites.

Package: r-cran-spsur
Architecture: all
Version: 1.0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4374
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-formula, r-cran-ggplot2, r-cran-gmodels, r-cran-gridextra, r-cran-mass, r-cran-matrix, r-cran-minqa, r-cran-numderiv, r-cran-rdpack, r-cran-rlang, r-cran-sparsemvn, r-cran-spatialreg, r-cran-spdep, r-cran-sphet
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-sf
Filename: pool/dists/focal/main/r-cran-spsur_1.0.2.5-1.ca2004.1_all.deb
Size: 1860068
MD5sum: 10080da740d7bdf16aa00547599af546
SHA1: 5455e4ed073561f4d9886be1b1b9a96b3dc0ae5b
SHA256: b448be5400d4b9a62330942fc1163f14097b194321a3807549f2aafbbe7488c6
SHA512: 97cdd09e87d3797570bcaf66faebcfa8836c09c9e731e702b800cbbacdbd6b6c7d8044e5c2a5b77a2b1cf7e51f08acb53b01c5720afa580caead36f33e7841d8
Homepage: https://cran.r-project.org/package=spsur
Description: CRAN Package 'spsur' (Spatial Seemingly Unrelated Regression Models)
 A collection of functions to test and estimate Seemingly Unrelated
 Regression (usually called SUR) models, with spatial structure, by maximum
 likelihood and three-stage least squares. The package estimates the most
 common spatial specifications, that is, SUR with Spatial Lag of X regressors
 (called SUR-SLX), SUR with Spatial Lag Model (called SUR-SLM), SUR with
 Spatial Error Model (called SUR-SEM), SUR with Spatial Durbin Model (called
 SUR-SDM), SUR with Spatial Durbin Error Model (called SUR-SDEM), SUR with
 Spatial Autoregressive terms and Spatial Autoregressive Disturbances (called
 SUR-SARAR), SUR-SARAR with Spatial Lag of X regressors (called SUR-GNM) and
 SUR with Spatially Independent Model (called SUR-SIM).  The methodology of
 these models can be found in next references Minguez, R., Lopez, F.A., and
 Mur, J. (2022) <doi:10.18637/jss.v104.i11> Mur, J., Lopez, F.A., and
 Herrera, M. (2010) <doi:10.1080/17421772.2010.516443> Lopez, F.A., Mur, J.,
 and Angulo, A. (2014) <doi:10.1007/s00168-014-0624-2>.

Package: r-cran-spsurvey
Architecture: all
Version: 5.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7144
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-survey, r-cran-boot, r-cran-crossdes, r-cran-deldir, r-cran-lme4, r-cran-mass, r-cran-sampling, r-cran-units
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-spsurvey_5.5.1-1.ca2004.1_all.deb
Size: 2226524
MD5sum: af6533b7fe9cd78d62eef91dbb97c3dd
SHA1: 75f5a14380376454ba97d433eb2e671ab9ff00bf
SHA256: e28f18f531d6ba96ee23eb39616025e85a1d2c2f7dcdb05f2c0993c42ff1d72a
SHA512: a2cb7afde974c6709c98434a68f40495b7e1b18b3a401bc9181318db7b82b90d3a9335cca5faadf5d6a085e79bf5ce46d278c03433a5b07412f026eb24dee815
Homepage: https://cran.r-project.org/package=spsurvey
Description: CRAN Package 'spsurvey' (Spatial Sampling Design and Analysis)
 A design-based approach to statistical inference, with a focus on spatial
 data. Spatially balanced samples are selected using the Generalized Random
 Tessellation Stratified (GRTS) algorithm. The GRTS algorithm can be applied
 to finite resources (point geometries) and infinite resources (linear /
 linestring and areal / polygon geometries) and flexibly accommodates a
 diverse set of sampling design features, including stratification, unequal
 inclusion probabilities, proportional (to size) inclusion probabilities,
 legacy (historical) sites, a minimum distance between sites, and two options
 for replacement sites (reverse hierarchical order and nearest neighbor).
 Data are analyzed using a wide range of analysis functions that perform
 categorical variable analysis, continuous variable analysis, attributable
 risk analysis, risk difference analysis, relative risk analysis, change
 analysis, and trend analysis. spsurvey can also be used to summarize
 objects, visualize objects, select samples that are not spatially balanced,
 select panel samples, measure the amount of spatial balance in a sample,
 adjust design weights, and more. For additional details, see Dumelle et al.
 (2023) <doi:10.18637/jss.v105.i03>.

Package: r-cran-spsutil
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-assertthat, r-cran-stringr, r-cran-glue, r-cran-magrittr, r-cran-crayon, r-cran-r6
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-spsutil_0.2.2-1.ca2004.1_all.deb
Size: 124760
MD5sum: 114441666d9b59b0c72a7bfe5a630214
SHA1: 7da1afeb601048cfd65cf9cb9079734831300155
SHA256: 45c34098c49f9ec4a1a2f77db3a76fc1de5113dd520cf18ce0dc7782fa862fcf
SHA512: 5cfd37285080284791eca80f455475b6118f861d55aa285bac7655f277537539cd83e5eea6e2ad87bf75f424deeeb8dfb8cb9b2e41e5dfcba8b49547003be5aa
Homepage: https://cran.r-project.org/package=spsUtil
Description: CRAN Package 'spsUtil' ('systemPipeShiny' Utility Functions)
 The systemPipeShiny (SPS) framework comes with many useful utility
 functions. However, installing the whole framework is heavy and takes some
 time. If you like only a few useful utility functions from SPS, install this
 package is enough.

Package: r-cran-spthin
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spam, r-cran-fields, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-spthin_0.2.0-1.ca2004.1_all.deb
Size: 92072
MD5sum: 964c81a86f082ec246af4227c125a769
SHA1: 7bade46813db71803b90993744927c4822ec3654
SHA256: c0e0942ba11107163b2dfa9e3eaf817489e866365d687772d4af20ec56bdfac8
SHA512: 9f6ba5e109a0f7c7eec4ca7bce656d5b26a61f5c766fb9a105567a4ef2fc5a248ca6885340af9188cbba71c710c097604ed48f2184f15a64a9deb31981ec8bb9
Homepage: https://cran.r-project.org/package=spThin
Description: CRAN Package 'spThin' (Functions for Spatial Thinning of Species Occurrence Records forUse in Ecological Models)
 A set of functions that can be used to spatially thin species occurrence
 data. The resulting thinned data can be used in ecological modeling, such as
 ecological niche modeling.

Package: r-cran-sptotal
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1768
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-viridis
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-prettydoc, r-cran-tibble, r-cran-gstat
Filename: pool/dists/focal/main/r-cran-sptotal_1.0.1-1.ca2004.1_all.deb
Size: 1147620
MD5sum: afcde0e7617478f0a9e1f8fb41125c66
SHA1: 49423c7be7e2b420e4a114be36eabc0a16dfcf98
SHA256: 253b67a1fd933db932d43adf42f50d78447377b0923e81a3d5594323d557fa61
SHA512: f02e7a936cdedcb05e95ef93d8ae7d5d741c59e836118c7cae6a21ed000b5510b400b8d8c75d21157e2cb9478ef567c7f0c55cba70cdf734d3c3f8b148687145
Homepage: https://cran.r-project.org/package=sptotal
Description: CRAN Package 'sptotal' (Predicting Totals and Weighted Sums from Spatial Data)
 Performs predictions of totals and weighted sums, or finite population block
 kriging, on spatial data using the methods in Ver Hoef (2008)
 <doi:10.1007/s10651-007-0035-y>. The primary outputs are an estimate of the
 total, mean, or weighted sum in the region, an estimated prediction
 variance, and a plot of the predicted and observed values. This is useful
 primarily to users with ecological data that are counts or densities
 measured on some sites in a finite area of interest. Spatial prediction for
 the total count or average density in the entire region can then be done
 using the functions in this package.

Package: r-cran-spup
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2362
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-gstat, r-cran-magrittr, r-cran-mvtnorm, r-cran-purrr, r-cran-raster, r-cran-whisker
Suggests: r-cran-dplyr, r-cran-ggally, r-cran-gridextra, r-cran-knitr, r-cran-png, r-cran-readr, r-cran-sp, r-cran-testthat, r-cran-sf
Filename: pool/dists/focal/main/r-cran-spup_1.4-0-1.ca2004.1_all.deb
Size: 1715536
MD5sum: 9622f6e38de88a59813ceb120714aa45
SHA1: 088c16c4a35cf3b9bdc042dae212709244c75e22
SHA256: 05e90ba0d245de28a4eec9ee3d1153a4cdcf8dc97d0b9d1496ac42a5804443b9
SHA512: 553c06c2b677550a80e3000d2a58b026e781099b7e3d0b11f82e9363cc9ad0d2a9c38c55d9a5084d04f63c69b6cedf830befe0cc7eabb3772b4e791588352dbc
Homepage: https://cran.r-project.org/package=spup
Description: CRAN Package 'spup' (Spatial Uncertainty Propagation Analysis)
 Uncertainty propagation analysis in spatial environmental modelling
 following methodology described in Heuvelink et al. (2007)
 <doi:10.1080/13658810601063951> and Brown and Heuvelink (2007)
 <doi:10.1016/j.cageo.2006.06.015>. The package provides functions for
 examining the uncertainty propagation starting from input data and model
 parameters, via the environmental model onto model outputs. The functions
 include uncertainty model specification, stochastic simulation and
 propagation of uncertainty using Monte Carlo (MC) techniques.  Uncertain
 variables are described by probability distributions. Both numerical and
 categorical data types are handled.  Spatial auto-correlation within an
 attribute and cross-correlation between attributes is accommodated for.  The
 MC realizations may be used as input to the environmental models called from
 R, or externally.

Package: r-cran-spurs
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 414
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-spurs_2.0.3-1.ca2004.1_all.deb
Size: 190780
MD5sum: b926e04f5d9d2a1313aeb4064309a326
SHA1: a3ce3dbef3de372f6883b67f0b24423c0ffc0fb0
SHA256: 67ff3d0b1a75e42ace70fc94be8d5f09c06376277322293a6f9555b606e323d1
SHA512: f8b5ec849709a52318c4cd2e978f80925dce214a4c10b8e60448ce9e4c0cbaf08f1876cd54be60f98d30277b67fa7fc243c52ba38f8b8cc3ef770003b61b9d4d
Homepage: https://cran.r-project.org/package=spuRs
Description: CRAN Package 'spuRs' (Functions and Datasets for "Introduction to ScientificProgramming and Simulation Using R")
 Provides functions and datasets from Jones, O.D., R. Maillardet, and A.P.
 Robinson.  2014.  An Introduction to Scientific Programming and Simulation,
 Using R. 2nd Ed. Chapman And Hall/CRC.

Package: r-cran-sputnik
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-e1071, r-bioc-edger, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-viridis, r-cran-ggplot2, r-cran-reshape, r-cran-imager, r-cran-infotheo, r-cran-irlba, r-cran-dosnow, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sputnik_1.4.3-1.ca2004.1_all.deb
Size: 221728
MD5sum: 34788326730cbf2f2c3df252ac26f673
SHA1: 11af516445f367f56c94c1f22ff3de80e0ce0c25
SHA256: 1e4e1d7b1d6bac05ec961b50bcdcfadf9e809ab157433f540b5fa6096b4dc3f2
SHA512: bb5ff47665b71d155d8f5313d24e053aff08f93b8d0c53f64fab033ec6f145a67bd68a30a026d95a1e4bc0eb0e77317f51119df4b46b444723ea83cdd8e00c6a
Homepage: https://cran.r-project.org/package=SPUTNIK
Description: CRAN Package 'SPUTNIK' (Spatially Automatic Denoising for Imaging Mass SpectrometryToolkit)
 Set of tools for peak filtering of mass spectrometry imaging data based on
 spatial distribution of signal. Given a region-of-interest, representing the
 spatial region where the informative signal is expected to be localized, a
 series of filters determine which peak signals are characterized by an
 implausible spatial distribution. The filters reduce the dataset dimension
 and increase its information vs noise ratio, improving the quality of the
 unsupervised analysis results, reducing data dimension and simplifying the
 chemical interpretation.  The methods are described in Inglese P. et al
 (2019) <doi:10.1093/bioinformatics/bty622>.

Package: r-cran-spyvsspy
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-spyvsspy_0.1.1-1.ca2004.1_all.deb
Size: 13088
MD5sum: b25be54c78dd72f59dde75bff455f76c
SHA1: f786227b4d6028aa2566042d15c7ce3f0c8b7036
SHA256: f5cbe7a84441ac686d73b03e0f3ba493c5ac019ce2b017e5db63829ec1f69dc7
SHA512: 896be15bcbf6a890d04fd13c7fe4da6f5b8b3905202a5b2e2201475055e9a81b0cb6a896094eb3a0f733eb335894a2ed4bab5634a7d746ec14b11623a67f0488
Homepage: https://cran.r-project.org/package=SPYvsSPY
Description: CRAN Package 'SPYvsSPY' (Spy vs. Spy Data)
 Data on the Spy vs. Spy comic strip of Mad magazine, created and written by
 Antonio Prohias.

Package: r-cran-sqb
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-nnet, r-cran-pls
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-sqb_0.4-1.ca2004.1_all.deb
Size: 29060
MD5sum: 48fe47afaa327476d0db17daf3e182ca
SHA1: 955d56e1a321e2c2e900706d1d62f6491269c2b1
SHA256: 41eef9b03d51e7a778253580705a48cfccfb8c79993e325d9bf002b85ff8eaac
SHA512: 9ea530ab7a0b30f353d415181bed177364abe200c989d81100e7facd00e26e3ead75dee9cc0deb85b6f294f66dca1ed9f21f973aae431a421a05aa7123bc6943
Homepage: https://cran.r-project.org/package=SQB
Description: CRAN Package 'SQB' (Sequential Bagging on Regression)
 Methodology: Remove one observation. Training the rest of data that are
 sampled without replacement and given this observation's input, predict the
 response back. Replicate this N times and for each response, take a sample
 from these replicates with replacement. Average each responses of sample and
 again replicate this step N time for each observation. Approximate these N
 new responses by using bootstrap method and generate another N responses y'.
 Training these y' and predict to have N responses of each testing
 observation. The average of N is the final prediction. Each observation will
 do the same.

Package: r-cran-sqda
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1565
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-limma, r-cran-pdsce, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sqda_1.0-1.ca2004.1_all.deb
Size: 1569440
MD5sum: dc567309020a0faa95b383a704f4b463
SHA1: af46fbbcde35d9930142c92459661f49bbd041f0
SHA256: 2ecde094d76f53558d8283a2abb61685e7214b09adfddb0ec976d520ec1e83df
SHA512: 1556317d1ca4c6e3b2fa617c99f91c37f277c7b51a6ee5de4abb32da0d81b5adf94c07215d7782f36723abd14eae04860802d82ec13d451e383112aaceec0828
Homepage: https://cran.r-project.org/package=SQDA
Description: CRAN Package 'SQDA' (Sparse Quadratic Discriminant Analysis)
 Sparse Quadratic Discriminant Analysis (SQDA) can be performed. In SQDA, the
 covariance matrix are assumed to be block-diagonal.And, for each block,
 sparsity assumption is imposed on the covariance matrix. It is useful in
 high-dimensional setting.

Package: r-cran-sqi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-readxl, r-cran-dplyr, r-cran-matrixstats, r-cran-olsrr, r-cran-factominer
Filename: pool/dists/focal/main/r-cran-sqi_0.1.0-1.ca2004.1_all.deb
Size: 86308
MD5sum: 5dee84b09b3bf0a742fbb5abbe9cfc9c
SHA1: ee9579685875fdb8aa4cf9eefc125dc9aa8c5c07
SHA256: 6ca6f7251396d3e1fd3bbbc2e16ee1961eda171dde826d33791bce3ceee4d08d
SHA512: 0070dbcbb31af21537a5dfeb6728e84a2c7ef73cea696e78a072065c65ad157d015af0564a8197f16856465f1505b8411f1883634ad91e65b1a299015d04094f
Homepage: https://cran.r-project.org/package=SQI
Description: CRAN Package 'SQI' (Soil Quality Index)
 The overall performance of soil ecosystem services and productivity greatly
 relies on soil health, making it a crucial indicator. The evaluation of soil
 physical, chemical, and biological parameters is necessary to determine the
 overall soil quality index. In our package, three commonly used methods,
 including linear scoring, regression-based, and principal component-based
 soil quality indexing, are employed to calculate the soil quality index.
 This package has been developed using concept of Bastida et al. (2008) and
 Doran and Parkin (1994) <doi:10.1016/j.geoderma.2008.08.007>
 <doi:10.2136/sssaspecpub35.c1>.

Package: r-cran-sql
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-arrow, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-sql_0.1.1-1.ca2004.1_all.deb
Size: 16336
MD5sum: 230adf4795c3f76a862cd24fd72b34b6
SHA1: 72e4e7d9e58b20b2bf90278ace0d5601b83a70a1
SHA256: 793ccc5380548930b853e3c26bdfcdc705b6d18afe4d0066008159cffcb82778
SHA512: aa756fde0a2e7b133287ee7f820eef10f806596f8225d84e4b04327f3075387148ce12df248002ba073022b0924102784ba75e2fc967a4f5ec7889313685d5d5
Homepage: https://cran.r-project.org/package=SQL
Description: CRAN Package 'SQL' (Executes 'SQL' Statements)
 Runs 'SQL' statements on in-memory data frames within a temporary in-memory
 'duckdb' data base.

Package: r-cran-sqlcaser
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sqlcaser_0.2.0-1.ca2004.1_all.deb
Size: 24064
MD5sum: 4816bfe35f650fc9f487ac098f7b559e
SHA1: 5ad31c9d68afbc0c5b8b1dce64082ad4b2f819fe
SHA256: 98240e930a71def810e2b760889c4d70e8342795bdf770538ee23d5e601e0c51
SHA512: 5a9803b531f231b9dc9194f7f7882a36dda6b1ab3d3bf12932d642e10cf5d1024de28c055e06465f026f6069e357d1afaf2a2ecd0660a4912b8e41363e630ebc
Homepage: https://cran.r-project.org/package=sqlcaser
Description: CRAN Package 'sqlcaser' ('SQL' Case Statement Generator)
 Includes built-in methods for generating long 'SQL' CASE statements, and
 other 'SQL' statements that may otherwise be arduous to construct by hand.
 The generated statement can easily be concatenated to string literals to
 form queries to 'SQL'-like databases, such as when using the 'RODBC'
 package. The current methods include casewhen() for building CASE
 statements, inlist() for building IN statements, and updatetable() for
 building UPDATE statements.

Package: r-cran-sqldf
Architecture: all
Version: 0.4-11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsubfn, r-cran-proto, r-cran-rsqlite, r-cran-dbi, r-cran-chron
Suggests: r-cran-rh2, r-cran-rmysql, r-cran-rpostgresql, r-cran-svunit, r-cran-mass
Filename: pool/dists/focal/main/r-cran-sqldf_0.4-11-1.ca2004.1_all.deb
Size: 75668
MD5sum: 9681c2ef79a48a832cfa721a0a268cfc
SHA1: 8cc7777908fb3b7ee4c7174e9b126ca1ec7d0544
SHA256: 6ea7bb66bf6e7f2e729dbac3c61cedfd67ef421e50fe6d76846ae86d89594e0a
SHA512: 199aff1ceaf1d3464337525cc3fdf2bb7383c9d0adb6697a1ce8746fe471bf2ddc9c6615482bc63b79313e2dd05b68ed84eefe9889fb1ec9d0a712b07bc2b88b
Homepage: https://cran.r-project.org/package=sqldf
Description: CRAN Package 'sqldf' (Manipulate R Data Frames Using SQL)
 The sqldf() function is typically passed a single argument which is an SQL
 select statement where the table names are ordinary R data frame names.
 sqldf() transparently sets up a database, imports the data frames into that
 database, performs the SQL select or other statement and returns the result
 using a heuristic to determine which class to assign to each column of the
 returned data frame.  The sqldf() or read.csv.sql() functions can also be
 used to read filtered files into R even if the original files are larger
 than R itself can handle.  'RSQLite', 'RH2', 'RMySQL' and 'RPostgreSQL'
 backends are supported.

Package: r-cran-sqlhelper
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 277
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-yaml, r-cran-rappdirs, r-cran-stringr, r-cran-glue, r-cran-pool, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-sf, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-odbc, r-cran-rsqlite, r-cran-rpostgres, r-cran-rmariadb, r-cran-bigrquery, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-sqlhelper_0.2.1-1.ca2004.1_all.deb
Size: 100920
MD5sum: 6036a44e685c9fc0d3d5c49ab3912e7e
SHA1: 5ae5b6103dfacee0bf6c1d67178ccbdd665edfce
SHA256: 533863a777514097104b57ffb451e2704fb2691abc3963234eeba86cc3eb46a3
SHA512: c1098d7821f699bb4dadce967bea8af218c825316023d572dca09df359bc03adb43e8b48919fbc00dee4048d45c786c1feb66e42ddb75cebb8b4cd6067aab441
Homepage: https://cran.r-project.org/package=sqlhelper
Description: CRAN Package 'sqlhelper' (Easier 'SQL' Integration)
 Execute files of 'SQL' and manage database connections. 'SQL' statements and
 queries may be interpolated with string literals. Execution of individual
 statements and queries may be controlled with keywords. Multiple connections
 may be defined with 'YAML' and accessed by name.

Package: r-cran-sqlhelpers
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-toolbox, r-cran-dbi, r-cran-odbc, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-sqlhelpers_0.1.2-1.ca2004.1_all.deb
Size: 64680
MD5sum: ae5fc16af7c0b74883b32a7005dc79fd
SHA1: 1da108d82e190d53f020fe291460a88916459413
SHA256: 6356f711d4a19df7865c555e3f3236787ca08b73d89ba7b53f7b1529d110ea14
SHA512: 05c5d5b124b1f63a27f1a02d0a0e1978bbbf13cf794b22cdd0ba2cfd38578265dbbe6a33245574c93f9337e701fe18d3ee79ea872e5baf664577213b0741e976
Homepage: https://cran.r-project.org/package=sqlHelpers
Description: CRAN Package 'sqlHelpers' (Collection of 'SQL' Utilities for 'T-SQL' and 'Postgresql')
 Includes functions for interacting with common meta data fields, writing
 insert statements, calling functions, and more for 'T-SQL' and 'Postgresql'.

Package: r-cran-sqliter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-functional, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-sqliter_0.1.0-1.ca2004.1_all.deb
Size: 21176
MD5sum: 6d71c90beca496d44950e355aa9d00d7
SHA1: 70497634aef9ee9da51a0cc1dc6c6841df374a31
SHA256: 43142a3fbee645aada97cb0da475711b2c42ba4d794697e8bafddbac46f9f6ef
SHA512: 53fe78d1c13ad4ac5f9c7a22f343bf182f27b1f798965798b60273d4adec51aa412f3a3f079490f6ccaa2b2cedd9643faba13f42b46bdcac5d7cc4bfedba1ede
Homepage: https://cran.r-project.org/package=sqliter
Description: CRAN Package 'sqliter' (Connection wrapper to SQLite databases)
 sqliter helps users, mainly data munging practioneers, to organize their sql
 calls in a clean structure. It simplifies the process of extracting and
 transforming data into useful formats.

Package: r-cran-sqliteutils
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsqlite, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sqliteutils_0.1.0-1.ca2004.1_all.deb
Size: 16016
MD5sum: 44ef3fc445bfb582c323b3c1ead70ca5
SHA1: 8cd211d7e0b9699ee621cc5ad75113a251f3e4ef
SHA256: 60b645c83dd89c1267bbf0551b3850f1ee43d39d2a98423ddc7532ae26d21c2c
SHA512: 9040216e84400df9d65f57a2f76dd74b87101389c515f22f700081f0bed18a47b9c031aaf968851856a212648f2f82a83347a8cd62ee380db07295e9823309a7
Homepage: https://cran.r-project.org/package=sqliteutils
Description: CRAN Package 'sqliteutils' (Utility Functions for 'SQLite')
 A tool for working with 'SQLite' databases. 'SQLite' has some idiosyncrasies
 and limitations that impose some hurdles to the R developer who is using
 this database as a repository. For instance, 'SQLite' doesn't have a date
 type and 'sqliteutils' has some functions to deal with that.

Package: r-cran-sqlove
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-readr, r-cran-rjdbc, r-cran-odbc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sqlove_1.0.2-1.ca2004.1_all.deb
Size: 23464
MD5sum: 3b19fbea53b7151cbbcb7ede305728ae
SHA1: 3aab959e27e32484064535742e372e94c4d55686
SHA256: f5ab0a7fce453f21b7dc298a7f8a3e0e7c921e8f821dc221ee1db728df5aadaa
SHA512: 0540a8b8f4af570e5bbc0608aa6d2f5427fbe901ae476e531850ce15adf5eabeaaf7e1cccc7597168ae84751f8246175de0dad45e7c2f33ce041da03a99f035c
Homepage: https://cran.r-project.org/package=SQLove
Description: CRAN Package 'SQLove' (Execute 'SQL' Scripts in 'R' Containing Multiple Queries)
 The nature of working with structured query language ('SQL') scripts
 efficiently often requires the creation of temporary tables and there are
 few clean and simple 'R' 'SQL' execution approaches that allow you to
 complete this kind of work with the 'R' environment. This package seeks to
 give 'SQL' implementations in 'R' a little love by deploying functions that
 allow you to deploy complex 'SQL' scripts within a typical 'R' workflow.

Package: r-cran-sqlparser
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-sqlparser_0.1.0-1.ca2004.1_all.deb
Size: 23628
MD5sum: c9f6db55a5a81d6943274df6fc16b263
SHA1: bde414efbbc5206c12f675414bf128671d73fa9b
SHA256: 37416fb7d3fd16c16929210f45b6bcce94ee24f59faf9b78c8fef6c9a65e84c0
SHA512: 131e15d11312b07f96148457ef76e44e43751349ab07f679c83a3b17c834a8f05d372f508c1ca4acc6e101a4af94498161a200a491e38411aff1c81bc9154e9d
Homepage: https://cran.r-project.org/package=sqlparseR
Description: CRAN Package 'sqlparseR' (Wrapper for 'Python' Module 'sqlparse': Parse, Split, and Format'SQL')
 Wrapper for the non-validating 'SQL' parser 'Python' module 'sqlparse'
 <https://github.com/andialbrecht/sqlparse>. It allows parsing, splitting,
 and formatting 'SQL' statements.

Package: r-cran-sqlrender
Architecture: all
Version: 1.19.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 635
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava, r-cran-rlang, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-sqlrender_1.19.2-1.ca2004.1_all.deb
Size: 458152
MD5sum: edbde69e828b78b29117b9b779cfad2c
SHA1: d4b9d0f0954b27c7d21fc0fedd48b58f01b86780
SHA256: 71f0c3838bf365efa52d6aee6bcb4fffff4e520156090597829eb39703e9d21e
SHA512: ab8bfc6989d5d2d396815a5abbd258b166e12dcbe41dec0747353358b1556cf096d567df06855ce411e9cda536ab52a505cc9887f05fde492f5afc409983ec6c
Homepage: https://cran.r-project.org/package=SqlRender
Description: CRAN Package 'SqlRender' (Rendering Parameterized SQL and Translation to Dialects)
 A rendering tool for parameterized SQL that also translates into different
 SQL dialects.  These dialects include 'Microsoft SQL Server', 'Oracle',
 'PostgreSql', 'Amazon RedShift', 'Apache Impala', 'IBM Netezza', 'Google
 BigQuery', 'Microsoft PDW', 'Snowflake', 'Azure Synapse Analytics
 Dedicated', 'Apache Spark', 'SQLite', and 'InterSystems IRIS'.

Package: r-cran-sqlscore
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbplyr
Suggests: r-cran-testthat, r-cran-arm, r-cran-glmnet, r-cran-mboost, r-cran-covr
Filename: pool/dists/focal/main/r-cran-sqlscore_0.1.4-1.ca2004.1_all.deb
Size: 47932
MD5sum: e2c36b8aac585c890d9ead2fa6058aa3
SHA1: 78eb306b7b5fb2884e96cbf3f8db5f5664f360c7
SHA256: a92ef05b861daf3c5b37199f57a872983ab8425472e269dc5dec02e19d055358
SHA512: 51d9f649c47411751ca9cf7e18513cf83837e0539907b25a368d4f0ef9d5871dc274fe3248b34d11dbe4e598f271ba5ea2ae2ed0debd1894f0ac4d01f0518cd9
Homepage: https://cran.r-project.org/package=sqlscore
Description: CRAN Package 'sqlscore' (Utilities for Generating SQL Queries from Model Objects)
 Provides utilities for generating SQL queries (particularly CREATE TABLE
 statements) from R model objects. The most important use case is generating
 SQL to score a generalized linear model or related model represented as an R
 object, in which case the package handles parsing formula operators and
 including the model's response function.

Package: r-cran-sqlstrings
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fs, r-cran-readr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sqlstrings_1.0.0-1.ca2004.1_all.deb
Size: 12264
MD5sum: e535694b629b6c810697b5b6b3e9e448
SHA1: c2ef95d1272911da4bbf2dfcc8b8518078a1a5de
SHA256: dfb9cc38b7f02d43851cb393cf9f636730e63214c95a4a6ab0fc2a2746afea3b
SHA512: 2bc87430ef043e974eb984153bee25e3c6611053ffdd2c17ce1ef76c453711bc92d1f988900310e7c1b4276ff0cadbfcf31784220f2441f22be5ff3027fe8bbe
Homepage: https://cran.r-project.org/package=sqlstrings
Description: CRAN Package 'sqlstrings' (Map 'SQL' Code to R Lists)
 Provides a helper function, to bulk read 'SQL' code from separate files and
 load it into an 'R' list, where the list elements contain the individual
 statements and queries as strings. This works by annotating the 'SQL' code
 with a name comment, which also will be the name of the list element.

Package: r-cran-sqltargets
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dbi, r-cran-fs, r-cran-glue, r-cran-jinjar, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tarchetypes, r-cran-targets, r-cran-withr
Suggests: r-cran-testthat, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-sqltargets_0.2.1-1.ca2004.1_all.deb
Size: 111316
MD5sum: c0d317a2dacf111baf7f495cf300061f
SHA1: 161cc6a658e8964e6265b2b10fe9cab03dd17528
SHA256: 7e7a2ee1250e87d9aeff8261599aa6e4ef227e65a265979418e23a4822f4619e
SHA512: a6e54ad12862cc9467e82fa16f590c597e882f5b4dc1d52c02c4588fa1a8d37976f8db7a46eb96ac5aa0e88e585f43a6671e7e23979dc6611df55d7e21787507
Homepage: https://cran.r-project.org/package=sqltargets
Description: CRAN Package 'sqltargets' ('Targets' Extension for 'SQL' Queries)
 Provides an extension for 'SQL' queries as separate file within 'targets'
 pipelines. The shorthand creates two targets, the query file and the query
 result.

Package: r-cran-sqlutils
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1578
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-roxygen2, r-cran-stringr, r-cran-dbi
Suggests: r-cran-sqldf, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-sqlutils_1.2-1.ca2004.1_all.deb
Size: 339048
MD5sum: 4e7da7e16ab8a605fecdca3e1f81b915
SHA1: 143c9de97d6479fba7a267dcb962696986414055
SHA256: 2f4eaada67bd7c27c0f0cf8c3d681bc1994c48a63558f572af50da08ca37340c
SHA512: 4c074e43d1f1a49ab9f3924e2c8efca6a65fd95d6b8723729d96bff68e6c303e8e563fc5caa0490a56bd0c433079c2bf77bf12c1f65eca1fb2cc2b80644179d6
Homepage: https://cran.r-project.org/package=sqlutils
Description: CRAN Package 'sqlutils' (Utilities for working with SQL files)
 This package provides utilities for working with a library of SQL files.

Package: r-cran-sqmtools
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3614
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-zip, r-cran-reshape2, r-cran-ggplot2, r-bioc-pathview, r-cran-data.table, r-bioc-biostrings
Suggests: r-cran-vegan, r-cran-microeco, r-bioc-phyloseq
Filename: pool/dists/focal/main/r-cran-sqmtools_1.7.2-1.ca2004.1_all.deb
Size: 3650504
MD5sum: 531f27b5c6fe6cee8d61411049be97b2
SHA1: 0ae6ee7e07abe4a2f1f543fa3965da30392b5680
SHA256: acee2122afe583501ed61103857a5d998cf176e396fbc6c87076f3e91a0d01c7
SHA512: ce002039de1faf91d40db03945a429f7e0189d2ec62ffee8617fddf67402d1fa5a4df6832210c6130104e3d8a7d195f5955d4875592b31b25abeef2baa918644
Homepage: https://cran.r-project.org/package=SQMtools
Description: CRAN Package 'SQMtools' (Analyze Results Generated by the 'SqueezeMeta' Pipeline)
 'SqueezeMeta' is a versatile pipeline for the automated analysis of
 metagenomics/metatranscriptomics data
 (<https://github.com/jtamames/SqueezeMeta>). This package provides functions
 loading 'SqueezeMeta' results into R, filtering them based on different
 criteria, and visualizing the results using basic plots. The 'SqueezeMeta'
 project (and any subsets of it generated by the different filtering
 functions) is parsed into a single object, whose different components (e.g.
 tables with the taxonomic or functional composition across samples,
 contig/gene abundance profiles) can be easily analyzed using other R
 packages such as 'vegan' or 'DESeq2'. The methods in this package are
 further described in Puente-Sánchez et al., (2020)
 <doi:10.1186/s12859-020-03703-2>.

Package: r-cran-sqn
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mclust, r-cran-nor1mix
Filename: pool/dists/focal/main/r-cran-sqn_1.0.6-1.ca2004.1_all.deb
Size: 107188
MD5sum: f064ab9e3ab70523650778a0ae3bfa58
SHA1: 1e676819980c37b9fef9c23718ce16cc26e3b89e
SHA256: 641c7b54c14bceb052cc1bc0d7c8efc7942f402157f720705a116eea4d1e369c
SHA512: e16323c97a38109e734f3b673b32a2563803e5607472e2524725256d84d959e3a92770c8c7b46a8971df620873fe78d78404960407bcea3c4975d84d894c8074
Homepage: https://cran.r-project.org/package=SQN
Description: CRAN Package 'SQN' (Subset Quantile Normalization)
 Normalization based a subset of negative control probes as described in
 'Subset quantile normalization using negative control features'. Wu Z, Aryee
 MJ, J Comput Biol. 2010 Oct;17(10):1385-95 [PMID 20976876].

Package: r-cran-sqrl
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 424
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rodbc
Filename: pool/dists/focal/main/r-cran-sqrl_1.0.2-1.ca2004.1_all.deb
Size: 379712
MD5sum: aa5226a8ba31cefc456d2924ed1938bb
SHA1: fd3caf5ea3ff22cd1482327b05058669d73197e1
SHA256: 4d3619c11cfa761a64b420cc97785d7aa19029b7874636ecd5d87f9f3f7fd85a
SHA512: fcd29e8614774016e437da77ee21282e3f82fb50e65c96158b1dcc65fc98e5854120663bffe3e9790a38cec9a548f189d2943f12a873393f2a209201625e9ed8
Homepage: https://cran.r-project.org/package=SQRL
Description: CRAN Package 'SQRL' (Enhances Interaction with 'ODBC' Databases)
 Provides simple and powerful interfaces that facilitate interaction with
 'ODBC' data sources. Each data source gets its own unique and dedicated
 interface, wrapped around 'RODBC'. Communication settings are remembered
 between queries, and are managed silently in the background. The interfaces
 support multi-statement 'SQL' scripts, which can be parameterised via
 metaprogramming structures and embedded 'R' expressions.

Package: r-cran-squant
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-squant_1.1.7-1.ca2004.1_all.deb
Size: 128356
MD5sum: e74e435edbe2bed7eeff910e8d8029ca
SHA1: be6b5098fbee88d8abd765a66022dd99255b9e4f
SHA256: 2f8ff95400def7b148179fcea7fe5d25877d4b82da601e093240b06790d32fe7
SHA512: 530a41e1a292d885358d99d6072cfbd9897f5c5f3a5333e898212b00ebe69614c5af936c565fad2d31bc83da6fa9c017fbdf7bed0670747cc9307a32eef62247
Homepage: https://cran.r-project.org/package=squant
Description: CRAN Package 'squant' (Subgroup Identification Based on Quantitative Objectives)
 A subgroup identification method for precision medicine based on
 quantitative objectives. This method can handle continuous, binary and
 survival endpoint for both prognostic and predictive case. For the
 predictive case, the method aims at identifying a subgroup for which
 treatment is better than control by at least a pre-specified or
 auto-selected constant. For the prognostic case, the method aims at
 identifying a subgroup that is at least better than a
 pre-specified/auto-selected constant. The derived signature is a linear
 combination of predictors, and the selected subgroup are subjects with the
 signature > 0. The false discover rate when no true subgroup exists is
 controlled at a user-specified level.

Package: r-cran-squarem
Architecture: all
Version: 2021.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-setrng
Filename: pool/dists/focal/main/r-cran-squarem_2021.1-1.ca2004.1_all.deb
Size: 176448
MD5sum: be37b28f0f19eeff13492f364b795dca
SHA1: 0342aa9ce2d7ce0c0eb53049bcc34b2564676840
SHA256: 3750d7e9db4a6e4530d92211fd57359bfdbffdf4ee18adfbb2447b35da3eac11
SHA512: 843473bd9ea07853c15f346a3e4478884d579135dd629ec92639e38cae1375c729209fad5dbeef4ea0e6d72b66ace19ac2fa42dbbe4ad5384ced3c68457ce489
Homepage: https://cran.r-project.org/package=SQUAREM
Description: CRAN Package 'SQUAREM' (Squared Extrapolation Methods for Accelerating EM-Like MonotoneAlgorithms)
 Algorithms for accelerating the convergence of slow, monotone sequences from
 smooth, contraction mapping such as the EM algorithm. It can be used to
 accelerate any smooth, linearly convergent acceleration scheme.  A tutorial
 style introduction to this package is available in a vignette on the CRAN
 download page or, when the package is loaded in an R session, with
 vignette("SQUAREM"). Refer to the J Stat Software article:
 <doi:10.18637/jss.v092.i07>.

Package: r-cran-squash
Architecture: all
Version: 1.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-squash_1.0.9-1.ca2004.1_all.deb
Size: 143640
MD5sum: 4a0b12ef26e355c65a9119d28eb3b299
SHA1: 93264a8d52d6b23dc1998b863c7d08c80245401e
SHA256: 27b52f52ef45f06e4f157bc6f7eefbef199194de0cdb8d10913c1967ea0571c6
SHA512: 958414748ace645812a6106063387495ffac137e9644875f0976eeae26aec34c6993bc2a2479c4f2db37cfb861d78fc0d10dab47028511fb6d056e463bc0b7e0
Homepage: https://cran.r-project.org/package=squash
Description: CRAN Package 'squash' (Color-Based Plots for Multivariate Visualization)
 Functions for color-based visualization of multivariate data, i.e.
 colorgrams or heatmaps.  Lower-level functions map numeric values to colors,
 display a matrix as an array of colors, and draw color keys.  Higher-level
 plotting functions generate a bivariate histogram, a dendrogram aligned with
 a color-coded matrix, a triangular distance matrix, and more.

Package: r-cran-squashinformr
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-plyr, r-cran-tibble, r-cran-lubridate, r-cran-stringr, r-cran-tidyr, r-cran-rvest, r-cran-polite, r-cran-naniar, r-cran-janitor, r-cran-hmisc, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-squashinformr_0.2.6-1.ca2004.1_all.deb
Size: 357908
MD5sum: be670beace82b58ec09b31e048a64074
SHA1: bde3a8378393b1e01c34fa61f0f8d3e610b2b780
SHA256: de48d0bc89802a92d2275c4da74eb347336c0e603d66a2a12a8e8f1858f43617
SHA512: 78eed35bfce2c5440c4ff3e2673cf20e9619bfa38d672476ef26e6c6e9120f05d49aca00187a0767a2465c2666949574aeead73a648f2ff08f8920ad19e9552d
Homepage: https://cran.r-project.org/package=squashinformr
Description: CRAN Package 'squashinformr' (Politely Web Scrape Data from SquashInfo)
 Scrape SquashInfo <http://www.squashinfo.com/> for data on the Professional
 Squash Association World Tour and other squash events. 'squashinformr'
 functions scrape, parse, and clean data associated with players,
 tournaments, and rankings.

Package: r-cran-squeakr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8875
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggcorrplot, r-cran-ggeasy, r-cran-gghighlight, r-cran-ggplot2, r-cran-ggpubr, r-cran-googlesheets4, r-cran-mass, r-cran-plotly, r-cran-rcolorbrewer, r-cran-readxl, r-cran-report, r-cran-rlist, r-cran-rstatix, r-cran-shiny, r-cran-shinydashboard
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-squeakr_1.3.0-1.ca2004.1_all.deb
Size: 3980112
MD5sum: 51682961f5557fe156c3046ed29b7138
SHA1: c0697293c268ad074d2dacb914de20126b3924fe
SHA256: f87ab20189bc8691b1a06d3110bdbcaff1bb34ac286e9acc6f6384efc76f5945
SHA512: de0b7fb854eb334590e99f2e8dd6faf205df955bdbb4be02757b5e153313a3b1b340a09437dc48e52e50f65047f4a4a293e411081ca4b22745ecee61f2c41a6b
Homepage: https://cran.r-project.org/package=SqueakR
Description: CRAN Package 'SqueakR' (An Experiment Interface for 'DeepSqueak' Bioacoustics Research)
 Data processing and visualizations for rodent vocalizations exported from
 'DeepSqueak'. These functions are compatible with the 'SqueakR' Shiny
 Dashboard, which can be used to visualize experimental results and analyses.

Package: r-cran-squeezy
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glmnet, r-cran-matrix, r-cran-multiridge, r-cran-mvtnorm
Suggests: r-cran-ggplot2, r-cran-ecpc
Filename: pool/dists/focal/main/r-cran-squeezy_1.1-1-1.ca2004.1_all.deb
Size: 67488
MD5sum: 9bf3dd69f4ca0ca5a9a8f444b4cba649
SHA1: e291688988ad6e9646862a589bd632769d5ec60a
SHA256: 517298395730d43dce9a722b181bb9b66c4d9d74c86805985af4c911e34b469b
SHA512: 66a9bb585b396b1d6ad193de0e7a7e41a34c4003499978e2e0b8308f310799fb8aea4ea8317f216860884852aeeb57ea4a09f2486a5c930c77cd9c591fdf1759
Homepage: https://cran.r-project.org/package=squeezy
Description: CRAN Package 'squeezy' (Group-Adaptive Elastic Net Penalised Generalised Linear Models)
 Fit linear and logistic regression models penalised with group-adaptive
 elastic net penalties.  The group penalties correspond to groups of
 covariates defined by a co-data group set.  The method accommodates
 inclusion of unpenalised covariates and overlapping groups.  See Van Nee et
 al. (2021) <arXiv:2101.03875>.

Package: r-cran-squid
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5336
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinymatrix, r-cran-ggplot2, r-cran-plotly, r-cran-mass, r-cran-lme4, r-cran-arm, r-cran-data.table, r-cran-brms
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-squid_0.2.1-1.ca2004.1_all.deb
Size: 3830068
MD5sum: b7010ec147695e8e2e03970eb956e874
SHA1: 345ae00e1fb2a4f353b7f9da64e0528e1f70aa14
SHA256: a60bcdd2973e318ed809310f76782e57c6f5ae707e87cd6275c9bae0522f7f5b
SHA512: c5320184e6047e8141eed7ae08b5c7ff0187746222e069f71bdbca52aea75275fdd382d9d9533e6c20ef4dac1409ccab0abec112a80c9735ce00ebed3076d279
Homepage: https://cran.r-project.org/package=squid
Description: CRAN Package 'squid' (Statistical Quantification of Individual Differences)
 A simulation-based tool made to help researchers to become familiar with
 multilevel variations, and to build up sampling designs for their study.
 This tool has two main objectives: First, it provides an educational tool
 useful for students, teachers and researchers who want to learn to use
 mixed-effects models.  Users can experience how the mixed-effects model
 framework can be used to understand distinct biological phenomena by
 interactively exploring simulated multilevel data.  Second, it offers
 research opportunities to those who are already familiar with mixed-effects
 models, as it enables the generation of data sets that users may download
 and use for a range of simulation-based statistical analyses such as power
 and sensitivity analysis of multilevel and multivariate data [Allegue, H.,
 Araya-Ajoy, Y.G., Dingemanse, N.J., Dochtermann N.A., Garamszegi, L.Z.,
 Nakagawa, S., Reale, D., Schielzeth, H. and Westneat, D.F. (2016) <doi:
 10.1111/2041-210X.12659>].

Package: r-cran-squids
Architecture: all
Version: 25.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 295
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-squids_25.6.1-1.ca2004.1_all.deb
Size: 228224
MD5sum: 2cda9c723ad492d9f1ae847bf3990b45
SHA1: 865f8b2437006e01417b27cc2df9db9fbb1acc34
SHA256: d76718526879236b7b3a47bfebaa38d013d8ebba84a8d0bdab8301cee839a0b2
SHA512: 6b2a4206f148309982eaa1c780cb05c9eb6e69766349490db7e6dc67aed26f5971a4dea3d7621febfcc397e3b652e30faae6df2dc3e9ff5e183789e87b67cc28
Homepage: https://cran.r-project.org/package=squids
Description: CRAN Package 'squids' (Short Quasi-Unique Identifiers (SQUIDs))
 It is often useful to produce short, quasi-unique identifiers (SQUIDs)
 without the benefit of a central authority to prevent duplication. Although
 Universally Unique Identifiers (UUIDs) provide for this, these are also
 unwieldy; for example, the most used UUID, version 4, is 36 characters long.
 SQUIDs are short (8 characters) at the expense of having more collisions,
 which can be mitigated by combining them with human-produced suffixes,
 yielding relatively brief, half human-readable, almost-unique identifiers
 (see for example the identifiers used for Decentralized Construct
 Taxonomies; Peters & Crutzen, 2024 <doi:10.15626/MP.2022.3638>). SQUIDs are
 the number of centiseconds elapsed since the beginning of 1970 converted to
 a base 30 system. This package contains functions to produce SQUIDs as well
 as convert them back into dates and times.

Package: r-cran-sr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 422
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-progress, r-cran-rann, r-cran-vdiffr
Suggests: r-cran-knitr, r-cran-magrittr, r-cran-nnet, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sr_0.1.0-1.ca2004.1_all.deb
Size: 226600
MD5sum: afe710efe02c75a3864133de9f3fe9be
SHA1: 7e484f100af1e25114937f3ffca70400e489de84
SHA256: 4fdea92c49c13adf35beb8d2387b5b03096b44d65c8b0d8fe50b04ea4d1826c6
SHA512: ebbcfea306f604114d6c1c468c84ba56d69d4f3d990a379ea67518272928d195d08e631f04507713ce5f2b679fde3b2280c78708b4753a8b208cd44f6cd8df58
Homepage: https://cran.r-project.org/package=sr
Description: CRAN Package 'sr' (Smooth Regression - The Gamma Test and Tools)
 Finds causal connections in precision data, finds lags and embeddings in
 time series, guides training of neural networks and other smooth models,
 evaluates their performance, gives a mathematically grounded answer to the
 over-training problem.  Smooth regression is based on the Gamma test, which
 measures smoothness in a multivariate relationship.  Causal relations are
 smooth, noise is not.  'sr' includes the Gamma test and search techniques
 that use it.  References: Evans & Jones (2002) <doi:10.1098/rspa.2002.1010>,
 AJ Jones (2004) <doi:10.1007/s10287-003-0006-1>.

Package: r-cran-sra
Architecture: all
Version: 0.1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sra_0.1.4.1-1.ca2004.1_all.deb
Size: 139524
MD5sum: 6bc1ae0e5c5d079a7db347050e0eb102
SHA1: 20922cbc01d161140250def7e46b10229cae58da
SHA256: d39e2f0be4960c59fe416f286a0812cd371c0d67e0f466368737582289059065
SHA512: e76a5f15892ce9406d0266735be4b40febbdc6526f510d34d051c8208357913e4facaa384d21ddce4a0f04e80a8138c2377c99bdfe722d8e16644dfe9e18a408
Homepage: https://cran.r-project.org/package=sra
Description: CRAN Package 'sra' (Selection Response Analysis)
 Artificial selection through selective breeding is an efficient way to
 induce changes in traits of interest in experimental populations. This
 package (sra) provides a set of tools to analyse artificial-selection
 response datasets. The data typically feature for several generations the
 average value of a trait in a population, the variance of the trait, the
 population size and the average value of the parents that were chosen to
 breed. Sra implements two families of models aiming at describing the
 dynamics of the genetic architecture of the trait during the selection
 response. The first family relies on purely descriptive (phenomenological)
 models, based on an autoregressive framework. The second family provides
 different mechanistic models, accounting e.g. for inbreeding, mutations,
 genetic and environmental canalization, or epistasis. The parameters
 underlying the dynamics of the time series are estimated by maximum
 likelihood. The sra package thus provides (i) a wrapper for the R functions
 mle() and optim() aiming at fitting in a convenient way a predetermined set
 of models, and (ii) some functions to plot and analyze the output of the
 models.

Package: r-cran-srcpkgs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-devtools, r-cran-pkgload
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-srcpkgs_0.1-1.ca2004.1_all.deb
Size: 106028
MD5sum: e61015c3638ec986550d190699ec4e4b
SHA1: 1d89d594a80b671590a5e0041829315d41b18f8c
SHA256: 4047ba3463a939707f6f6ecf4a094511292c2d45b0c0295071ed15f80bd63403
SHA512: 55b9acf97e4755bd5d4cc428d62a5542b3749833911ae07462d76e6958bf42d3b5894bf35d15207ee07a5a497b1f05b161e723a3e7195b0f63949d2176f1d44c
Homepage: https://cran.r-project.org/package=srcpkgs
Description: CRAN Package 'srcpkgs' (R Source Packages Manager)
 Manage a collection/library of R source packages. Discover, document, load,
 test source packages. Enable to use those packages as if they were actually
 installed. Quickly reload only what is needed on source code change. Run
 tests and checks in parallel.

Package: r-cran-srcr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rsqlite, r-cran-withr
Filename: pool/dists/focal/main/r-cran-srcr_1.1.1-1.ca2004.1_all.deb
Size: 36704
MD5sum: a549b25ee84c94e1167e9671e47cf475
SHA1: 29f25ffc0647ca12623786b440789b94072c4e86
SHA256: a78024c1fb8befad06457ba93f9f560831a0a18aa6c32d9ae98b6120d1bdf97f
SHA512: a0e85349b8c723c650ddfcd8a7c82785a7ee7110bc63c34e389cf51c9d3cd9190973786e8d0fe7bb815d137722c17555720e505f722e3dd7164f53e741c6bbe7
Homepage: https://cran.r-project.org/package=srcr
Description: CRAN Package 'srcr' (Simplify Connections to Database Sources)
 Connecting to databases requires boilerplate code to specify connection
 parameters and to set up sessions properly with the DBMS.  This package
 provides a simple tool to fill two purposes: abstracting connection details,
 including secret credentials, out of your source code and managing
 configuration for frequently-used database connections in a persistent and
 flexible way, while minimizing requirements on the runtime environment.

Package: r-cran-srcs
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4339
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-srcs_1.1-1.ca2004.1_all.deb
Size: 4180016
MD5sum: 33f52cfdbc532b4be226dcfa6b180451
SHA1: b52f21d2f2c442770ea3b4563ce82716e962478b
SHA256: 317d6b91f8d43fb2e81a5d4dd6580432f55ddf5d54310c6fd7051c953321b437
SHA512: 00feebce32f8dba1d777613be69c29a6432cb81660ae619cb92bfaada9bcdd0433f660c70006737e3efe27e0c55923cf7215755955cd0181db638f1907bb4756
Homepage: https://cran.r-project.org/package=SRCS
Description: CRAN Package 'SRCS' (Statistical Ranking Color Scheme for Multiple PairwiseComparisons)
 Implementation of the SRCS method for a color-based visualization of the
 results of multiple pairwise tests on a large number of problem
 configurations, proposed in: I.G. del Amo, D.A. Pelta. SRCS: a technique for
 comparing multiple algorithms under several factors in dynamic optimization
 problems. In: E. Alba, A. Nakib, P. Siarry (Eds.), Metaheuristics for
 Dynamic Optimization. Series: Studies in Computational Intelligence 433,
 Springer, Berlin/Heidelberg, 2012.

Package: r-cran-srda
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-doparallel, r-cran-elasticnet, r-cran-foreach, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-srda_1.0.0-1.ca2004.1_all.deb
Size: 58604
MD5sum: 22a9f25c96b1d562d918c7a9668f6919
SHA1: 60c028fc37f16310d82a714a75d9cdd0bff97e47
SHA256: 33204bf256ac217b24120701f8b561d173e039ae4986a72d0c550b8ec6e3946f
SHA512: aedfac9caa3304804b8424a35234c74d5ca16477f7b390f68f50bf4ab335088fb704dbe67ff86fd698545e4d6241f5c2ff4ee1093b38f2c292817f4d765f4939
Homepage: https://cran.r-project.org/package=sRDA
Description: CRAN Package 'sRDA' (Sparse Redundancy Analysis)
 Sparse redundancy analysis for high dimensional (biomedical) data.
 Directional multivariate analysis to express the maximum variance in the
 predicted data set by a linear combination of variables of the predictive
 data set. Implemented in a partial least squares framework, for more details
 see Csala et al. (2017) <doi:10.1093/bioinformatics/btx374>.

Package: r-cran-srdpdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-srdpdata_0.1.0-1.ca2004.1_all.deb
Size: 120236
MD5sum: e4ab7ca9ac73de1459f23a97c743bb59
SHA1: 1990a1633ed61b710d285bc8d2a219cb79ec9a85
SHA256: 4253972d11820d8fa0d87d7c93c963b30d614cfeba6931486be10e3f27c5095a
SHA512: dc4b8e77fbdf016aae462f747f12bb7f8d910dc4d95245af67c891b6164820a7dc57d4d0d4e0de4f95fd3856f1127bad3319b1cca778f37e5a52deb1d4328b25
Homepage: https://cran.r-project.org/package=sRdpData
Description: CRAN Package 'sRdpData' (Strategies of Resistance Data Project)
 Provides you with easy, programmatic access to SRDP data.

Package: r-cran-sreg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-extradistr, r-cran-rlang, r-cran-tidyr, r-cran-cli
Suggests: r-cran-haven, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sreg_1.0.1-1.ca2004.1_all.deb
Size: 122812
MD5sum: 0caeed792d9a77cfcfb4389f92da9002
SHA1: d737ccdc4bd6dd63396d7d1bf778ef4df9d8926e
SHA256: 52b0fec93c32547c9ad9e4e7c3bb4597724e40063d65d4bbbe0039c4d809da3f
SHA512: 91542872694d5d16ac5606b99700c45140a92d076dd0617b86cb462766d29d035e28b208819a3f9441d14a1809a3fb0606bd6bd2ac96d131348c9bc908bef3ef
Homepage: https://cran.r-project.org/package=sreg
Description: CRAN Package 'sreg' (Stratified Randomized Experiments)
 Estimate average treatment effects (ATEs) in stratified randomized
 experiments. 'sreg' is designed to accommodate scenarios with multiple
 treatments and cluster-level treatment assignments, and accommodates optimal
 linear covariate adjustment based on baseline observable characteristics.
 'sreg' computes estimators and standard errors based on Bugni, Canay, Shaikh
 (2018) <doi:10.1080/01621459.2017.1375934>; Bugni, Canay, Shaikh,
 Tabord-Meehan (2024+) <doi:10.48550/arXiv.2204.08356>; and Jiang, Linton,
 Tang, Zhang (2023+) <doi:10.48550/arXiv.2201.13004>.

Package: r-cran-sregsurvey
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gamlss, r-cran-gamlss.dist, r-cran-teachingsampling, r-cran-dplyr, r-cran-caret, r-cran-magrittr
Suggests: r-cran-survey
Filename: pool/dists/focal/main/r-cran-sregsurvey_0.1.3-1.ca2004.1_all.deb
Size: 43928
MD5sum: ca020b551040d924be6840e2854acf8e
SHA1: ceba0bd81d9905be59c0577181db6fc97ad27858
SHA256: fc51493dc83d53b805cbbb4812eb8c843092ada72e65f681df871bfafb06f9b0
SHA512: c1ad29ba4852fa1ee887ff36fbcef2a10450a03fce69acac5a91cef688680f8411d5630903e16a77ab42d4e0413f41971bde2b0c8ac37b871fdc3f24c58f4b61
Homepage: https://cran.r-project.org/package=sregsurvey
Description: CRAN Package 'sregsurvey' (Semiparametric Model-Assisted Estimation in Finite Populations)
 It is a framework to fit semiparametric regression estimators for the total
 parameter of a finite population when the interest variable is asymmetric
 distributed. The main references for this package are Sarndal C.E., Swensson
 B., and Wretman J. (2003,ISBN: 978-0-387-40620-6, "Model Assisted Survey
 Sampling." Springer-Verlag) Cardozo C.A, Paula G.A. and Vanegas L.H. (2022)
 "Generalized log-gamma additive partial linear mdoels with P-spline
 smoothing", Statistical Papers.  Cardozo C.A and Alonso-Malaver C.E. (2022).
 "Semi-parametric model assisted estimation in finite populations." In
 preparation.

Package: r-cran-srlars
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cellwise, r-cran-glmnet
Suggests: r-cran-testthat, r-cran-mvnfast
Filename: pool/dists/focal/main/r-cran-srlars_1.0.1-1.ca2004.1_all.deb
Size: 43920
MD5sum: cf8c3a0ad43c19a308f5dc7a32782e57
SHA1: 0dc2b013bf8318f27939cf83b3edb5b15be65866
SHA256: a95756334a300cf1ea1a92628ed3820a0b4562ef5a0717e05085a25d86270d50
SHA512: c1652584c02be73be0d0174b612aa9236b6608eecc8bae5e4708c7dd8884cc98a21de3c93c361d77641f100807ef6be0e85f976be585696812cc5a179710b858
Homepage: https://cran.r-project.org/package=srlars
Description: CRAN Package 'srlars' (Split Robust Least Angle Regression)
 Functions to perform split robust least angle regression. The approach first
 uses the least angle regression algorithm to split the variables into the
 models of an ensemble and robust estimates of the correlation between
 predictors. An elastic net estimator is then applied to the selected
 predictors in each model using the imputed data from the detect deviating
 cell (DDC) method.

Package: r-cran-srlts
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ncvreg, r-cran-rcpproll, r-cran-rlang, r-cran-yardstick
Suggests: r-cran-covr, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-srlts_0.1.1-1.ca2004.1_all.deb
Size: 375756
MD5sum: a14e88d36f323cf2038740c3b7cf004d
SHA1: 124ace0d2d12f929bf6dd2f4d698a5ee53d07847
SHA256: 8953b125d32fa8576ae43f9dee23f99f3197e9f27cc711312f791bf758228d31
SHA512: e4649fbd386142163f8b5988248694e5fc153b0968c4d2d7e27c9a396c7112d9ba92426a00baf1fc3421615d64e2a6f624d2516a60db4cddffce0331ef67707b
Homepage: https://cran.r-project.org/package=srlTS
Description: CRAN Package 'srlTS' (Sparsity-Ranked Lasso for Time Series)
 An implementation of sparsity-ranked lasso for time series data. This
 methodology is especially useful for large time series with exogenous
 features and/or complex seasonality. Originally described in Peterson and
 Cavanaugh (2022) <doi:10.1007/s10182-021-00431-7> in the context of variable
 selection with interactions and/or polynomials, ranked sparsity is a
 philosophy with methods useful for variable selection in the presence of
 prior informational asymmetry. This situation exists for time series data
 with complex seasonality, as shown in Peterson and Cavanaugh (2023+)
 <doi:10.48550/arXiv.2211.01492>, which also describes this package in
 greater detail. The Sparsity-Ranked Lasso (SRL) for Time Series implemented
 in 'srlTS' can fit large/complex/high-frequency time series quickly, even
 with a high-dimensional exogenous feature set. The SRL is considerably
 faster than its competitors, while often producing more accurate
 predictions. Also included is a long hourly series of arrivals into the
 University of Iowa Emergency Department with concurrent local temperature.

Package: r-cran-srmdata
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 461
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-srmdata_1.0.1-1.ca2004.1_all.deb
Size: 359820
MD5sum: bf119be482a2068eefa52a77c1c8886a
SHA1: a451525f4ada6a9990d228124a3cf8f591117b7e
SHA256: b1733b05217ee500581ebe5c595de0cf44887583bf108d31f54626a53dc101d1
SHA512: 3f27239be608cf240ad2500a4ffecccbd865a7ba4452438890ed55c99c7ced6e2d0a1d16813d337f00999338b74eb6e709a3dcb86868a3a1d4d9157f05571825
Homepage: https://cran.r-project.org/package=SRMData
Description: CRAN Package 'SRMData' (Data Files Supporting "Scientific Research and Methodology" byPeter K. Dunn (2025))
 Provides most of the data files used in the textbook "Scientific Research
 and Methodology" by Dunn (2025, ISBN:9781032496726; forthcoming).

Package: r-cran-srnagenetic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-deseq2, r-cran-futile.logger, r-cran-ggplot2, r-cran-ggsci, r-cran-plyr, r-cran-venndiagram
Filename: pool/dists/focal/main/r-cran-srnagenetic_0.1.0-1.ca2004.1_all.deb
Size: 104464
MD5sum: d80c9c199b7d543fe436ce83bd0f75bf
SHA1: 37873a1447d269f9cb843509c08dc6a4ecf3b488
SHA256: 68283fb26f2a9c955f7e7956e8eee650af695077e98a4f1de1fa3ca068a77be0
SHA512: 6afc179ceb237c2bf113a4c116b0ff0d435fa63bb85a6d268fe8e5f5b558a4c8454a40e11caf2beb8bcb72fcc9c7675e2337c6b6d10faee2dd835fb9a9f48474
Homepage: https://cran.r-project.org/package=sRNAGenetic
Description: CRAN Package 'sRNAGenetic' (Analysis of Small RNA Expression Changes in Hybrid Plants)
 The most important function of the R package is the genetic effects analysis
 of small RNA in hybrid plants via two methods, and at the same time, it
 provides various forms of graph related to data characteristics and
 expression analysis. In terms of two classification methods, one is the
 calculation of the additive (a) and dominant (d), the other is the
 evaluation of expression level dominance by comparing the total expression
 of the small RNA in progeny with the expression level in the parent species.

Package: r-cran-srp
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-srp_1.2.0-1.ca2004.1_all.deb
Size: 62984
MD5sum: a8c31d4ed1fb4e470ca3f24ba453c95e
SHA1: 9b082ca9999e40e03f896d85759df7a9c2f8722a
SHA256: 0ec71e767c453f66e9843756dfb08841a9261d6dc4a09343e0c0f12fe7bc831d
SHA512: 6f9f2d7248a84ceadfb56ccb3633f40be2fe5836d96a8b553702313badbab1ffb7eb4ce2e6fa31dbe17eef98e758a2e594b8acb734a954e0e675bf0d53118ced
Homepage: https://cran.r-project.org/package=srp
Description: CRAN Package 'srp' (Smooth-Rough Partitioning of the Regression Coefficients)
 Performs the change-point detection in regression coefficients of linear
 model by partitioning the regression coefficients into two classes of
 smoothness. The change-point and the regression coefficients are jointly
 estimated.

Package: r-cran-srppp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2409
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dm, r-cran-xml2, r-cran-tibble, r-cran-stringr, r-cran-dplyr, r-cran-tidyr, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-here, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-srppp_1.0.1-1.ca2004.1_all.deb
Size: 557884
MD5sum: 178b2e793bef74a7af943407f607ddaf
SHA1: c31c673f2836a5ed24355685f639fab3fe7ae82c
SHA256: d2ce0e8332824d3178836b5e58ddf64ca640751b1b7bd8b9f7a6ac54981acbba
SHA512: 5f356f7662c512c3c586c5a75e966f0048eefb266f3ac1f6d5b528aa8b5ecb693b025d3ed6f448ab06982a07a4b5c4472f0b12f5bdae1bde0d541139d6067e10
Homepage: https://cran.r-project.org/package=srppp
Description: CRAN Package 'srppp' (Read the Swiss Register of Plant Protection Products)
 Generate data objects from XML versions of the Swiss Register of Plant
 Protection Products. An online version of the register can be accessed at
 <https://www.psm.admin.ch/de/produkte>. There is no guarantee of
 correspondence of the data read in using this package with that online
 version, or with the original registration documents.  Also, the Federal
 Food Safety and Veterinary Office, coordinating the authorisation of plant
 protection products in Switzerland, does not answer requests regarding this
 package.

Package: r-cran-srs
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-shiny, r-cran-dt, r-cran-shinycssloaders, r-cran-shinybusy
Filename: pool/dists/focal/main/r-cran-srs_0.2.3-1.ca2004.1_all.deb
Size: 60180
MD5sum: a309a02f00741da55e5f61d9b558ac7d
SHA1: 3963e6459452e98bcb1b9bb9873a466a00126bac
SHA256: 06e7f11fc2c47fe88ce39b21bd0b9dd1ce7e63bc3ef303544855e20c3882ff8d
SHA512: 0f8a9b89ea9ca95e67c5f264c88d438dc936002350a2a03863712f770c1f5fe6f3cb82c822daf6ac3fa4da13be88124a3a07d073309ef8b995ad520a70dc8ff4
Homepage: https://cran.r-project.org/package=SRS
Description: CRAN Package 'SRS' (Scaling with Ranked Subsampling)
 Analysis of species count data in ecology often requires normalization to an
 identical sample size. Rarefying (random subsampling without replacement),
 which is a popular method for normalization, has been widely criticized for
 its poor reproducibility and potential distortion of the community
 structure. In the context of microbiome count data, researchers explicitly
 advised against the use of rarefying. An alternative to rarefying is scaling
 with ranked subsampling (SRS). SRS consists of two steps. In the first step,
 the total counts for all OTUs (operational taxonomic units) or species in
 each sample are divided by a scaling factor chosen in such a way that the
 sum of the scaled counts Cscaled equals Cmin. In the second step, the
 non-integer Cscaled values are converted into integers by an algorithm that
 we dub ranked subsampling. The Cscaled value for each OTU or species is
 split into the integer part Cint (Cint = floor(Cscaled)) and the fractional
 part Cfrac (Cfrac = Cscaled - Cints). Since the sum of Cint is smaller or
 equal to Cmin, additional delta C = Cmin - the sum of Cint counts have to be
 added to the library to reach the total count of Cmin. This is achieved as
 follows. OTUs are ranked in the descending order of their Cfrac values.
 Beginning with the OTU of the highest rank, single count per OTU is added to
 the normalized library until the total number of added counts reaches delta
 C and the sum of all counts in the normalized library equals Cmin. When the
 lowest Cfrag involved in picking delta C counts is shared by several OTUs,
 the OTUs used for adding a single count to the library are selected in the
 order of their Cint values. This selection minimizes the effect of
 normalization on the relative frequencies of OTUs. OTUs with identical Cfrag
 as well as Cint are sampled randomly without replacement. See Beule &
 Karlovsky (2020) <doi:10.7717/peerj.9593> for details.

Package: r-cran-srt
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-srt_1.0.4-1.ca2004.1_all.deb
Size: 83252
MD5sum: 4e30da13c165ac99c8789019e4791952
SHA1: a74a92cc4c9709e5403be60439a38597d911ffb9
SHA256: 2eaf129a861a193dcc65112c065b7dc0b851f58b57c5f72e28b406c27b7e6e75
SHA512: a8aaa1fa65a2cd980c84e95055d77d17d1795b54d6f7e62b601e38247a35d7ffb3aac66fbe5a95b60e5c5a4b86dcd853be30e44d947f581e4d5c148dd71557bb
Homepage: https://cran.r-project.org/package=srt
Description: CRAN Package 'srt' (Read Subtitle Files as Tabular Data)
 Read 'SubRip' <https://sourceforge.net/projects/subrip/> subtitle files as
 data frames for easy text analysis or manipulation.  Easily shift numeric
 timings and export subtitles back into valid 'SubRip' timestamp format to
 sync subtitles and audio.

Package: r-cran-srtsim
Architecture: all
Version: 0.99.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2867
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-concaveman, r-cran-sf, r-cran-sp, r-cran-spatstat.geom, r-cran-pdist, r-cran-mass, r-bioc-s4vectors, r-cran-matrix, r-cran-morpho, r-cran-matrixstats, r-cran-plotly, r-cran-shiny, r-cran-viridis, r-cran-shinydashboard, r-cran-dashboardthemes, r-cran-shinybs, r-cran-ggplot2, r-cran-ggpubr, r-cran-dt, r-cran-spatstat.random, r-cran-magrittr, r-cran-fnn, r-cran-dplyr, r-cran-magick
Suggests: r-cran-knitr, r-cran-rmarkdown, r-bioc-biocstyle, r-cran-refmanager, r-cran-biocmanager, r-cran-sessioninfo
Filename: pool/dists/focal/main/r-cran-srtsim_0.99.7-1.ca2004.1_all.deb
Size: 2022724
MD5sum: a5b431c9f6266e081268cb3071cfa4dd
SHA1: 9490ab0a4e2985cfdb0a0d5bacc20d6986079d9c
SHA256: 8e4b1b06a7b47772e9ced8629f5f22f68daa6b3ed85d08ba92043b5ffb86534d
SHA512: c398eb391c4d9a46db24a41cef8f0f1e1e2d835733ec197b91b94d7b9c9ff88c5358a82f89ee95204ecd53d60bba69d793283e14a771c04f3a6e7c54f2600534
Homepage: https://cran.r-project.org/package=SRTsim
Description: CRAN Package 'SRTsim' (Simulator for Spatially Resolved Transcriptomics)
 An independent, reproducible, and flexible Spatially Resolved
 Transcriptomics (SRT) simulation framework that can be used to facilitate
 the development of SRT analytical methods for a wide variety of SRT-specific
 analyses. It utilizes spatial localization information to simulate SRT
 expression count data in a reproducible and scalable fashion. Two major
 simulation schemes are implemented in 'SRTsim': reference-based and
 reference-free.

Package: r-cran-srttools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-srttools_1.2.0-1.ca2004.1_all.deb
Size: 66952
MD5sum: c53e45cd814eb1d5bb5dc7ec277e5ccc
SHA1: 32c05ca8fb41ab797711d1e39c5eb80f26be1436
SHA256: 1ecde693bf5d0e2e695f99499f1312fbef01f4949f4859550edce148a2969779
SHA512: 4b6a1cafbd616a35ec9c3bf292e7ddd28d83ddf4b7abc3135ffbd9467a42f67cb49d5e1e7fb2af13cb720b3ded7d53fd8ae6e16c75a2865b7d01e49322d42573
Homepage: https://cran.r-project.org/package=SRTtools
Description: CRAN Package 'SRTtools' (Adjust Srt File to Get Better Experience when Watching Movie)
 Srt file is a common subtitle format for videos, it contains subtitle and
 when the subtitle showed.  This package is for align time of srt file, and
 also change color, style and position of subtitle in videos, the srt file
 will be read as a vector into R, and can be write into srt file after
 modified using this package.

Package: r-cran-srvyr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rlang, r-cran-survey, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-spelling, r-cran-convey, r-cran-dbi, r-cran-dbplyr, r-cran-ggplot2, r-cran-knitr, r-cran-laeken, r-cran-matrix, r-cran-rmarkdown, r-cran-pander, r-cran-rsqlite, r-cran-survival, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-srvyr_1.3.0-1.ca2004.1_all.deb
Size: 347092
MD5sum: 003b34a953aaf08a1ad742631109d938
SHA1: 5de216ed9626e09e65e81157672026cdb20c6af2
SHA256: ecd1c4fe1e41a6ab801c805f7bedec8e01bf29974d38fd300fdbae5eed813bb9
SHA512: 303d083ee287f7c20587d13bfbeb11e1e86ffa20751dffc26221d4bd4174db1b9f76a8c8f2683d3ffb35f1b911673d92975bc774f0f13e9dde6e5f3cbc1dc5fc
Homepage: https://cran.r-project.org/package=srvyr
Description: CRAN Package 'srvyr' ('dplyr'-Like Syntax for Summary Statistics of Survey Data)
 Use piping, verbs like 'group_by' and 'summarize', and other 'dplyr'
 inspired syntactic style when calculating summary statistics on survey data
 using functions from the 'survey' package.

Package: r-cran-ss3sim
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2331
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-r4ss, r-cran-gtools, r-cran-ggplot2, r-cran-bbmle
Suggests: r-cran-knitr, r-cran-doparallel, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ss3sim_1.0.3-1.ca2004.1_all.deb
Size: 1763780
MD5sum: 6e45fc7a7f90c3cd61be6ac4f50f6632
SHA1: ad6d0c33ed5358f63258c9252b5c2f47f4f84772
SHA256: 680c0ed71a6b3ac6678b8e9821d81ee28042a51466dbff0fe570e733639536c6
SHA512: 91efe152871e971be2fad68991963275fda3940c1ce736af5e8998c52d85a0af0518565365edca62574d0dd52539c2976196393a57033b30bd2d4ad99a24d82e
Homepage: https://cran.r-project.org/package=ss3sim
Description: CRAN Package 'ss3sim' (Fisheries Stock Assessment Simulation Testing with StockSynthesis)
 Develops a framework for fisheries stock assessment simulation testing with
 Stock Synthesis (SS) as described in Anderson et al.  (2014)
 <doi:10.1371/journal.pone.0092725>.

Package: r-cran-ssabss
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tsbss, r-cran-ictest, r-cran-jade, r-cran-bssprep, r-cran-ggplot2, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-ssabss_0.1.1-1.ca2004.1_all.deb
Size: 90204
MD5sum: 9865eef7c762b4b7c46efcfe87fd3b1d
SHA1: 26d4e6e186fc1d9ac713bfcff129f0e5c4257248
SHA256: 712fe489b69850a68773dc918526d5c81eb82ff1a1bd752587ecccda0322ac97
SHA512: ce6a88442d04d5a7ba7cfbda276c68bd19ead00de3b7042c06d161809a18686c164024200ffa51b443b0f94721f15aa1f57cca3a291e8da83337c5285766198a
Homepage: https://cran.r-project.org/package=ssaBSS
Description: CRAN Package 'ssaBSS' (Stationary Subspace Analysis)
 Stationary subspace analysis (SSA) is a blind source separation (BSS)
 variant where stationary components are separated from non-stationary
 components. Several SSA methods for multivariate time series are provided
 here (Flumian et al. (2021); Hara et al. (2010)
 <doi:10.1007/978-3-642-17537-4_52>) along with functions to simulate time
 series with time-varying variance and autocovariance (Patilea and
 Raissi(2014) <doi:10.1080/01621459.2014.884504>).

Package: r-cran-ssanv
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ssanv_1.1-1.ca2004.1_all.deb
Size: 64980
MD5sum: de91a7ebce917972aa827f16f796f199
SHA1: 954210ba4b173448f551c73904c9c0d1ed473c2e
SHA256: b5cdec36b63e9b0bc2d6b22dd6360b6611f5cbd1f49572b33abca892869ffee3
SHA512: 1a3deb59dd94bdb6c7abf5b26cbc7f5e1366f2b7caab5b28af46b5963041b07075cb963d03bc6d41fedfd50d7676357ed26ffaf451fd81fe9763ed457596f7cf
Homepage: https://cran.r-project.org/package=ssanv
Description: CRAN Package 'ssanv' (Sample Size Adjusted for Nonadherence or Variability of InputParameters)
 A set of functions to calculate sample size for two-sample difference in
 means tests. Does adjustments for either nonadherence or variability that
 comes from using data to estimate parameters.

Package: r-cran-ssbtools
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ssbtools_1.8.0-1.ca2004.1_all.deb
Size: 833676
MD5sum: f0da8adc3311d1afa52460fd1154450c
SHA1: 1c6f171aa46ad438b4beabb74b4757dcaea2543d
SHA256: d28bd758e195f6cf6dc38b5eaec35eedc1d142f1945380c8db5a4d1edb0d8d12
SHA512: e772127c57b67cb2748e031b4690c16afeec6fb24b7dbca8d4fb66ee7c3323efe829de288a31aed9491598c5035f431fdb3ffc709280190515a2b1447840e80c
Homepage: https://cran.r-project.org/package=SSBtools
Description: CRAN Package 'SSBtools' (Algorithms and Tools for Tabular Statistics and HierarchicalComputations)
 Includes general data manipulation functions, algorithms for statistical
 disclosure control (Langsrud, 2024) <doi:10.1007/978-3-031-69651-0_6> and
 functions for hierarchical computations by sparse model matrices (Langsrud,
 2023) <doi:10.32614/RJ-2023-088>.

Package: r-cran-ssc
Architecture: all
Version: 2.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proxy
Suggests: r-cran-caret, r-cran-e1071, r-cran-c50, r-cran-kernlab, r-cran-testthat, r-cran-timedate, r-cran-stringi, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ssc_2.1-0-1.ca2004.1_all.deb
Size: 493528
MD5sum: c4bddcbaa1e81cd8246dc101d68a19dd
SHA1: f2812313cbc9f97137069051ff3142a3dfe1c299
SHA256: 3fd080c1da46d88ddd75ce68cf98ce64058d899df79e231699c6883b8cbd29d8
SHA512: 4afa5eb6ec2be7689c48aa9a2fc88c6b54e46840486300ca23895d2ab73c38a88081256e52ffbc0e4fe8cc6c6d76ebe8e5fc2218eb2bc4d5e1c1901feb0589db
Homepage: https://cran.r-project.org/package=ssc
Description: CRAN Package 'ssc' (Semi-Supervised Classification Methods)
 Provides a collection of self-labeled techniques for semi-supervised
 classification. In semi-supervised classification, both labeled and
 unlabeled data are used to train a classifier. This learning paradigm has
 obtained promising results, specifically in the presence of a reduced set of
 labeled examples.  This package implements a collection of self-labeled
 techniques to construct a classification model. This family of techniques
 enlarges the original labeled set using the most confident predictions to
 classify unlabeled data. The techniques implemented can be applied to
 classification problems in several domains by the specification of a
 supervised base classifier. At low ratios of labeled data, it can be shown
 to perform better than classical supervised classifiers.

Package: r-cran-sscor
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1389
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pcapp, r-cran-robustbase, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-sscor_0.2.1-1.ca2004.1_all.deb
Size: 1392592
MD5sum: 24e1956d55eed8aad79118c93ef7ca62
SHA1: 42e15f215c19a7bfbd76a4c37075541cd33529fd
SHA256: d76f9ffb780e211fc69565ce2de36236fcfe966f0adb3a134bda1af2f3978f43
SHA512: b4f5ac35cc7a280fd274fe2579d1fe838ddd7dc29fdf7955af39603c527ba313e791f07da4e607bfdf0c72301b3b8fd86d4f7011ebe82d4c06e323c09df5fe56
Homepage: https://cran.r-project.org/package=sscor
Description: CRAN Package 'sscor' (Robust Correlation Estimation and Testing Based on Spatial Signs)
 Provides the spatial sign correlation and the two-stage spatial sign
 correlation as well as a one-sample test for the correlation coefficient.

Package: r-cran-sscsrs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sscsrs_0.1.0-1.ca2004.1_all.deb
Size: 16544
MD5sum: f0f0fb00a44b66142c72dac69025d39c
SHA1: 24034113a24fbfce0115f762f9dea6781958846b
SHA256: 417702d069b03f9c17e05277df836f5ec49853e482407a9a64d3c6e64635c9e8
SHA512: b07fde701f9e73fb6915ff4d09d52372906fd016b5ff63f3dd0cf5b397a0bd585fc5b275235d384a501ceeb79aeb4ca2d3d8817b46d1b641e560121460de6350
Homepage: https://cran.r-project.org/package=SscSrs
Description: CRAN Package 'SscSrs' (Sample Size Calculator for Estimation of Population Mean andProportion under SRS)
 It helps in determination of sample size for estimation of population mean
 and proportion based upon the availability of prior information on
 coefficient of variation (CV) of the population under Simple Random Sampling
 (SRS) with or without replacement sampling design. If there is no prior
 information on the population CV, then a small preliminary sample of size is
 selected to estimate the population CV which is then used for determination
 of final sample size. If the final sample size is more than the preliminary
 sample size, then the preliminary sample is augmented by drawing additional
 units from the remaining population units so that the size of the augmented
 sample is equal to the final sample size. On the other hand, if the
 preliminary sample size is larger than the final sample size, then the
 preliminary sample is considered as the final sample.

Package: r-cran-ssd4mosaic
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3496
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-actuar, r-cran-config, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-golem, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-rhandsontable, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinybusy, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-remotes, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssd4mosaic_1.0.3-1.ca2004.1_all.deb
Size: 1258064
MD5sum: 3a781c9efc946a5bec617ce635552bd6
SHA1: 3e1a26cd5976cc9dfab740135502ed04d8405d19
SHA256: be67708d1451c567825554822653316509394f937f11cdab2eeb38aabc74564a
SHA512: 0236a08bfcadee775c0c5a9afd4ffa1af33d5cc1f531d0e1dbf27872f68c37430431f43e4633a72257c1d4a352db98285a898ddafc38d1aa6275b8ded67a4e90
Homepage: https://cran.r-project.org/package=ssd4mosaic
Description: CRAN Package 'ssd4mosaic' (Web Application for the SSD Module of the MOSAIC Platform)
 Web application using 'shiny' for the SSD (Species Sensitivity Distribution)
 module of the MOSAIC (MOdeling and StAtistical tools for ecotoxICology)
 platform. It estimates the Hazardous Concentration for x% of the species
 (HCx) from toxicity values that can be censored and provides various
 plotting options for a better understanding of the results. See our
 companion paper Kon Kam King et al. (2014) <doi:10.48550/arXiv.1311.5772>.

Package: r-cran-ssd
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ssd_0.3-1.ca2004.1_all.deb
Size: 24444
MD5sum: 0022825183a2ae6ea2685e5f849860cd
SHA1: 2c9e222e0badf6845a1f8737f18085a91f0bc423
SHA256: efd36a13a61894fedab93d8f7f536f6b09405171d3db3f5b8a995e79c9653a89
SHA512: 278a133c585f6044e741235ca1163882178940a18a2bfa533d61b53f294c42243377ec193baaf52eee965c0cdd83518fe0c9eb9f06b900fa9e2c1dc486f234bb
Homepage: https://cran.r-project.org/package=ssd
Description: CRAN Package 'ssd' (Sample Size Determination (SSD) for Unordered Categorical Data)
 ssd calculates the sample size needed to detect the differences between two
 sets of unordered categorical data.

Package: r-cran-ssddata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chk, r-cran-dplyr, r-cran-rdpack
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssddata_1.0.0-1.ca2004.1_all.deb
Size: 113292
MD5sum: e9e70d4d024ad83a908d45874669571c
SHA1: 117a4a13c10a55c22c49eea860b4c6d5af642364
SHA256: 9de33653eb8ee56b31237ffd9a12987baf22d79014912d9b183c7bdb22e1c82c
SHA512: 2acda99922b7bc6d0a858a0019fa5b32050e753f2d1d5b40966d74169494da879326aafe34a840606c0ce316908c324c84b2c7d9ac480fe3bb42564d0172a507
Homepage: https://cran.r-project.org/package=ssddata
Description: CRAN Package 'ssddata' (Species Sensitivity Distribution Data)
 Reference data sets of species sensitivities to compare the results of
 fitting species sensitivity distributions using software such as 'ssdtools'
 and 'Burrlioz'.  It consists of 17 primary data sets from four different
 Australian and Canadian organizations as well as five datasets from
 anonymous sources. It also includes a data set of the results of fitting
 various distributions using different software.

Package: r-cran-ssdforr
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 529
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-psych, r-cran-ttr, r-cran-mass, r-cran-mad, r-cran-metafor, r-cran-singlecasees, r-cran-kendall, r-cran-modifiedmk, r-cran-retrodesign
Filename: pool/dists/focal/main/r-cran-ssdforr_2.1-1.ca2004.1_all.deb
Size: 479496
MD5sum: 2784b5a901aa0a1d409cb90c31348f70
SHA1: 158825402afd64ab91d07804cc28059e05f11293
SHA256: af4b649ed613c562cce772c7e105939d69a0212fdc32c04baa67ba4c2eb1a2fd
SHA512: 9265d733e48bd8967a9b66acc0696ef854bae8608571e95b30b23ab524e256848763fdaa6b0b67b828d8d66152a1a0e34d925c7d16920c59857dfd17a78dc932
Homepage: https://cran.r-project.org/package=SSDforR
Description: CRAN Package 'SSDforR' (Functions to Analyze Single System Data)
 Functions to visually and statistically analyze single system data.

Package: r-cran-ssdgsa
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-gsva, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-vctrs, r-cran-tidyselect, r-bioc-clusterprofiler, r-bioc-org.hs.eg.db
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssdgsa_0.1.1-1.ca2004.1_all.deb
Size: 193824
MD5sum: 23900fc62d90140a317cd2762467fd43
SHA1: 4740a1975e7a5606d875ada038adaadbcf322ee1
SHA256: 53df31f183f5b258853318599fe4405f706ed49877d05746d04293c163aa50af
SHA512: 6971a0ebb9bdc847c5c0313ce441d3d0ee7ac7e35e53cdd467caac0c7457b052aebb14c6945d48fb1adda147e02480ef01cdb1e51f07b3f9374f7f2519036844
Homepage: https://cran.r-project.org/package=ssdGSA
Description: CRAN Package 'ssdGSA' (Single Sample Directional Gene Set Analysis)
 A method that inherits the standard gene set variation analysis (GSVA)
 method and also provides the option to use summary statistics from any
 analysis (disease vs healthy, lesional side vs nonlesional side, etc..)
 input to define the direction of gene sets used for directional gene set
 score calculation for a given disease. Note to use this package, GSVA(>=
 1.52.1) is needed to pre-installed.  Hanzelmann, S., Castelo, R., and
 Guinney, J. (2013) <doi:10.1186/1471-2105-14-7>.

Package: r-cran-ssdm
Architecture: all
Version: 0.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4521
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sf, r-cran-raster, r-cran-mgcv, r-cran-earth, r-cran-rpart, r-cran-gbm, r-cran-randomforest, r-cran-dismo, r-cran-nnet, r-cran-e1071, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-shiny, r-cran-shinydashboard, r-cran-spthin, r-cran-poibin, r-cran-foreach, r-cran-doparallel, r-cran-iterators, r-cran-itertools, r-cran-leaflet, r-cran-magrittr, r-cran-sdm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shinyfiles
Filename: pool/dists/focal/main/r-cran-ssdm_0.2.11-1.ca2004.1_all.deb
Size: 1902888
MD5sum: 18dcccc103c1cbd469c5bde20ff05bf0
SHA1: fa7d5fcc0ff106d7e9d4db25e528e5b146cfe073
SHA256: d70b2873ea8eabbed2559518da306014880b3efbf96c8a1554d75c1977a71c3a
SHA512: e69a73d7a3dcc5d2606870ac12c38f79595149bcb65b3b406748b3294ca948ac554956c62003f9abb6886028f9f5b0c72f3c8fb465e925f4055f0d6df2c75cf6
Homepage: https://cran.r-project.org/package=SSDM
Description: CRAN Package 'SSDM' (Stacked Species Distribution Modelling)
 Allows to map species richness and endemism based on stacked species
 distribution models (SSDM). Individuals SDMs can be created using a single
 or multiple algorithms (ensemble SDMs). For each species, an SDM can yield a
 habitat suitability map, a binary map, a between-algorithm variance map, and
 can assess variable importance, algorithm accuracy, and between- algorithm
 correlation. Methods to stack individual SDMs include summing individual
 probabilities and thresholding then summing. Thresholding can be based on a
 specific evaluation metric or by drawing repeatedly from a Bernoulli
 distribution. The SSDM package also provides a user-friendly interface.

Package: r-cran-ssdr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-ssdr_1.2.0-1.ca2004.1_all.deb
Size: 45320
MD5sum: c00c40bd0ddc7d191d37bc2a1046a770
SHA1: c4547a13f83d59a56e4ee500c14b4b8b1c6a0e98
SHA256: 39b6e03fc95ccb08647a05ea259319a93e670b649322a3282f6976813a3f0018
SHA512: 191f71ef87a64dbea494dfcc901da2292d898ae373d1dc33443400a91ce90e36d69f864f94a0ca2e93ba996577516f90a5d82b0a41f7055e5ee4726aef5b579c
Homepage: https://cran.r-project.org/package=sSDR
Description: CRAN Package 'sSDR' (Tools Developed for Structured Sufficient Dimension Reduction(sSDR))
 Performs structured OLS (sOLS) and structured SIR (sSIR).

Package: r-cran-sse
Architecture: all
Version: 0.7-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sse_0.7-17-1.ca2004.1_all.deb
Size: 433220
MD5sum: 847f99300854593833c8f93ccaa60bb8
SHA1: a30ba9011d345e99734b3debb5940008bb783377
SHA256: 1aa2a49ef2967d59f2f098f3dd19c3ffce1f5e0db1aa85fea006b9f92bf5d9fb
SHA512: 298ce77591007d3f16c3c2ef645cdae199e43487247ded7cd7744464783f876044bfad2418862a0169f8499dab8b953eae173bef69f1dd1073108818e54aad78
Homepage: https://cran.r-project.org/package=sse
Description: CRAN Package 'sse' (Sample Size Estimation)
 Provides functions to evaluate user-defined power functions for a parameter
 range, and draws a sensitivity plot. It also provides a resampling procedure
 for semi-parametric sample size estimation and methods for adding
 information to a Sweave report.

Package: r-cran-sseparser
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-stringr
Suggests: r-cran-jsonlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sseparser_0.1.0-1.ca2004.1_all.deb
Size: 53728
MD5sum: 5eef88a5308e14b37d627b95f7fff602
SHA1: e1c10db201a7d2e6078edd7cd740199ad56fdc28
SHA256: 397c552a1084e371063d4333ff37804ddf9b42e7bc31b604d157660dff663edc
SHA512: 85bd33bbd4f49d5a2b7793e15b1331977027180fcf5f19fb8914c360642f9f205fb1d5871a57137340d1cd382d8c0132e919e0f8b795627b106711c5f2ac7449
Homepage: https://cran.r-project.org/package=SSEparser
Description: CRAN Package 'SSEparser' (Parse Server-Sent Events)
 Functionality to parse server-sent events with a high-level interface that
 can be extended for custom applications.

Package: r-cran-ssev
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pwr, r-cran-mess
Filename: pool/dists/focal/main/r-cran-ssev_0.1.0-1.ca2004.1_all.deb
Size: 28200
MD5sum: 4438cfa4614910fd28d6b1a82818e9d9
SHA1: f27ff4f546ae75bbe9cddd1b67be14cb966b547d
SHA256: 24da49fd4b22b9e3da0ea947e147c726ddda5fa5f5db274e2c26c32c8a7a83eb
SHA512: 29b8891d4a3f470f5726064cc76574402e5d8aa29d8bb7732e7944eb7515c48d54f27c7048c7879898c403f88394f92aad367bc69b7271422c8a65ac03eb92e5
Homepage: https://cran.r-project.org/package=ssev
Description: CRAN Package 'ssev' (Sample Size Computation for Fixed N with Optimal Reward)
 Computes the optimal sample size for various 2-group designs (e.g., when
 comparing the means of two groups assuming equal variances, unequal
 variances, or comparing proportions) when the aim is to maximize the rewards
 over the full decision procedure of a) running a trial (with the computed
 sample size), and b) subsequently administering the winning treatment to the
 remaining N-n units in the population. Sample sizes and expected rewards for
 standard t- and z- tests are also provided.

Package: r-cran-ssfa
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1504
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-maxlik, r-cran-spdep, r-cran-sp, r-cran-spatialreg
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-ssfa_1.2.2-1.ca2004.1_all.deb
Size: 1317064
MD5sum: e112ef8c0dff46203a26cfd393dc1c0c
SHA1: 37e090f18b9d89b6ec79bf16b0b2905179f23d6a
SHA256: 0173ec127fa5b5874c010072e979c17f545a2ab4601ef5e6cca4e5d7a9ee370d
SHA512: 78ed83f609e91e6935518ef70b58b546d36cfd762eb6ed65692bc44131d651fe36925cb63fad7bb4b0ca202956746274475c08b9d1fb125905cd98b197829429
Homepage: https://cran.r-project.org/package=ssfa
Description: CRAN Package 'ssfa' (Spatial Stochastic Frontier Analysis)
 Spatial Stochastic Frontier Analysis (SSFA) is an original method for
 controlling the spatial heterogeneity in Stochastic Frontier Analysis (SFA)
 models, for cross-sectional data, by splitting the inefficiency term into
 three terms: the first one related to spatial peculiarities of the territory
 in which each single unit operates, the second one related to the specific
 production features and the third one representing the error term.

Package: r-cran-ssfit
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survey
Filename: pool/dists/focal/main/r-cran-ssfit_1.2-1.ca2004.1_all.deb
Size: 19756
MD5sum: 1c48b8234584571ddae510145762ece8
SHA1: d47569941d73c4a5b0e58720e0cbdb24ed354f64
SHA256: 4866a11f12e12161d17675dcad3392dfdecb0cc3683aa1eea14768b91f356820
SHA512: 21ce86c23a172f481d8ebc55482104a0fc557f8debea17a2d83852eed76fb27d4d15babf27f24b48993400bc84065a7199db3c0638fdac9c62f0c3da845bb607
Homepage: https://cran.r-project.org/package=ssfit
Description: CRAN Package 'ssfit' (Fitting of Parametric Models using Summary Statistics)
 Fits complex parametric models using the method proposed by Cox and
 Kartsonaki (2012) without likelihoods.

Package: r-cran-ssh.utils
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ssh.utils_1.0-1.ca2004.1_all.deb
Size: 138540
MD5sum: 2d745919eb5fdde9f29cdd2c118b5e60
SHA1: 52483d020163ee954701a6a42c039f584a0428ae
SHA256: b5bf7cee8d636af422937690b327380833d100964ed495eea575193b331ef81b
SHA512: d7fea8a205926078aab1deb8e8b06455969a5396152d5dfc829d45ed9c87e80873a7c07f7cd32eacac3c5a2a3b5418585225c99786d6527d4b53e1c75c04c9df
Homepage: https://cran.r-project.org/package=ssh.utils
Description: CRAN Package 'ssh.utils' (Local and remote system commands with output and error capture)
 This package provides utility functions for system command execution, both
 locally and remotely using ssh/scp. The command output is captured and
 provided to the caller. This functionality is intended to streamline calling
 shell commands from R, retrieving and using their output, while
 instrumenting the calls with appropriate error handling. NOTE: this first
 version is limited to unix with local and remote systems running bash as the
 default shell.

Package: r-cran-sshaarp
Architecture: all
Version: 2.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2897
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-gtools, r-cran-gmt, r-cran-desctools, r-cran-dplyr, r-cran-filesstrings, r-cran-purrr, r-cran-stringi, r-cran-hlatools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sshaarp_2.0.8-1.ca2004.1_all.deb
Size: 1873756
MD5sum: 4ebac90e6ba3d0e87634189fc8147051
SHA1: fdaf140bed05bb8825d3f339c159b3b5a97c92b8
SHA256: e945cef16777a141ecd98c861b8c7b44bb192eb9bf963b7c3c7e47a01348f8a1
SHA512: 5b50af3d2fa5f82804fe7ac0ed4a7386d1ee9070edb893e519a791b3a716d8ab00de83e9c508a6336e9a0a3a69e451f853ece16033de220b475efc0f6f54ced6
Homepage: https://cran.r-project.org/package=SSHAARP
Description: CRAN Package 'SSHAARP' (Searching Shared HLA Amino Acid Residue Prevalence)
 Processes amino acid alignments produced by the 'IPD-IMGT/HLA (Immuno
 Polymorphism-ImMunoGeneTics/Human Leukocyte Antigen) Database' to identify
 user-defined amino acid residue motifs shared across HLA alleles, HLA
 alleles, or HLA haplotypes, and calculates frequencies based on HLA allele
 frequency data. 'SSHAARP' (Searching Shared HLA Amino Acid Residue
 Prevalence) uses 'Generic Mapping Tools (GMT)' software and the 'GMT' R
 package to generate global frequency heat maps that illustrate the
 distribution of each user-defined map around the globe. 'SSHAARP' analyzes
 the allele frequency data described by Solberg et al. (2008)
 <doi:10.1016/j.humimm.2008.05.001>, a global set of 497 population samples
 from 185 published datasets, representing 66,800 individuals total. Users
 may also specify their own datasets, but file conventions must follow the
 prebundled Solberg dataset, or the mock haplotype dataset.

Package: r-cran-sship
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-rcurl, r-cran-yaml
Suggests: r-cran-httptest, r-cran-httpuv, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-sship_0.9.0-1.ca2004.1_all.deb
Size: 52756
MD5sum: 04575839288042d532abcc4806b5b9b9
SHA1: c5b81ad1a593c3d04e8d05e9a0a3f02ee92d0851
SHA256: a37524ed54302c140b45a024ac3f7c864aabd09cc74dfb398ba6379293d92694
SHA512: f2cdcccff0342596837499e3dfa0e3047213f50a464f76675c2704636478026c3d0e103ea00c6805c26d74be7f273f236f4d9370c2c08a5c2a4041a4ba68c0e4
Homepage: https://cran.r-project.org/package=sship
Description: CRAN Package 'sship' (Tool for Secure Shipment of Content)
 Convenient tools for exchanging files securely from within R. By encrypting
 the content safe passage of files (shipment) can be provided by common but
 insecure carriers such as ftp and email. Based on asymmetric cryptography no
 management of shared secrets is needed to make a secure shipment as long as
 authentic public keys are available. Public keys used for secure shipments
 may also be obtained from external providers as part of the overall process.
 Transportation of files will require that relevant services such as ftp and
 email servers are available.

Package: r-cran-ssifs
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gtools, r-cran-igraph, r-cran-meta, r-cran-netmeta, r-cran-plyr, r-cran-r2jags, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssifs_1.0.5-1.ca2004.1_all.deb
Size: 250280
MD5sum: 21d049943e1605d03e2a8fee896e1e94
SHA1: 04f1dbf0af297486a96409f5c44b90275690e0d7
SHA256: a9b85af4a292ce6620f8137b94de333527376a26dcd90140a2debdf5d103f0dc
SHA512: f55e756bfeb41ab04216a6f43fb556b7b88f006c3dc6acfaa44493da1b0eaadd31b99919062ff59c68fcf1231c4085ad813e5e4e9856b9938234b70a1ebad838
Homepage: https://cran.r-project.org/package=ssifs
Description: CRAN Package 'ssifs' (Stochastic Search Inconsistency Factor Selection)
 Evaluating the consistency assumption of Network Meta-Analysis both globally
 and locally in the Bayesian framework. Inconsistencies are located by
 applying Bayesian variable selection to the inconsistency factors. The
 implementation of the method is described by Seitidis et al. (2023)
 <doi:10.1002/sim.9891>.

Package: r-cran-ssimmap
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2997
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-scales, r-cran-dplyr, r-cran-terra, r-cran-ggplot2, r-cran-sf, r-cran-knitr
Suggests: r-cran-rcolorbrewer, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssimmap_0.1.1-1.ca2004.1_all.deb
Size: 2802692
MD5sum: d890484916a8679af87f8d35d8144048
SHA1: adf16d345c46ba29bd6aa3353d794c36b4a6b0b1
SHA256: e59fa3b1e3a4f924124ef8620b3c5052f04135ecaf1b9510085210743309c6b8
SHA512: cf42e5e9654b511262b258892c21587832d0be46bc0adf132ef453bd244a137b70d9f189a310de7c9f654a63fff3f6609f0f6f4bebe8855aa5f9e68d4e6b5a61
Homepage: https://cran.r-project.org/package=SSIMmap
Description: CRAN Package 'SSIMmap' (The Structural Similarity Index Measure for Maps)
 Extends the classical SSIM method proposed by 'Wang', 'Bovik', 'Sheikh', and
 'Simoncelli'(2004) <doi:10.1109/TIP.2003.819861>.  for irregular
 lattice-based maps and raster images.  The geographical SSIM method
 incorporates well-developed 'geographically weighted summary
 statistics'('Brunsdon', 'Fotheringham' and 'Charlton' 2002)
 <doi:10.1016/S0198-9715(01)00009-6> with an adaptive bandwidth kernel
 function for irregular lattice-based maps.

Package: r-cran-ssimparser
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-stringr, r-cran-airportr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ssimparser_0.1.1-1.ca2004.1_all.deb
Size: 43924
MD5sum: d339abaf2d85472228c9f1eef23a97bd
SHA1: 9a4b370d8b079b46a0a96b1574cad6ef361cbaa2
SHA256: 9c521a174daf3c514802b16500b5dd39051e66dd1738fe609f3daa1ecec6ead8
SHA512: 0e627792f1ae260ab0d18f7385d6bee33bace66b4d16188bc3ae2990dd7677e1cc560d84b2910a874ac7e3eb2ffacf823d68e5a84e20431134da92d52de1ba80
Homepage: https://cran.r-project.org/package=ssimparser
Description: CRAN Package 'ssimparser' (Standard Schedules Information Parser)
 Parse Standard Schedules Information file (types 2 and 3) into a Data Frame.
 Can also expand schedules into flights.

Package: r-cran-ssize.fdr
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ssize.fdr_1.3-1.ca2004.1_all.deb
Size: 82252
MD5sum: 249e46d0c08ac68380aea98159dc17b8
SHA1: f9e3f8ced703094f92942bf2456d9b3a4a41b269
SHA256: 3ed9cf60528d4c199c6bf8d678493195ac2391dadfac12cafd0cc9f0b230f23a
SHA512: aafe3b7e1ea7060de25a388516abba8b94d704786e44172e2d9b75469caedb2b5255f794408dc408d12666adc57a6fc83befc054a36edeb9432ad2e7c35d5bdf
Homepage: https://cran.r-project.org/package=ssize.fdr
Description: CRAN Package 'ssize.fdr' (Sample Size Calculations for Microarray Experiments)
 Functions that calculate appropriate sample sizes for one-sample t-tests,
 two-sample t-tests, and F-tests for microarray experiments based on desired
 power while controlling for false discovery rates. For all tests, the
 standard deviations (variances) among genes can be assumed fixed or random.
 This is also true for effect sizes among genes in one-sample and two sample
 experiments. Functions also output a chart of power versus sample size, a
 table of power at different sample sizes, and a table of critical test
 values at different sample sizes.

Package: r-cran-ssizerna
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 497
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-bioc-biobase, r-bioc-edger, r-bioc-limma, r-bioc-qvalue, r-cran-ssize.fdr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-ssizerna_1.3.3-1.ca2004.1_all.deb
Size: 456392
MD5sum: 4f1981f9bce7cba885267445974c7393
SHA1: 51ef635b05113505fec46a12c75779cbc3dba970
SHA256: 655bb17344f3325f65f4404fb60e9a124427cfe5f3a452ccf10ffff76341d7f6
SHA512: f6af93c65d9cd2c630647d00059acbd27d07fe2c6014ad5d391270263e48dec2a18c69a6381306637335b0fd59d771933b5583328f1ea817c2a968a5b4dafb4f
Homepage: https://cran.r-project.org/package=ssizeRNA
Description: CRAN Package 'ssizeRNA' (Sample Size Calculation for RNA-Seq Experimental Design)
 We propose a procedure for sample size calculation while controlling false
 discovery rate for RNA-seq experimental design. Our procedure depends on the
 Voom method proposed for RNA-seq data analysis by Law et al. (2014)
 <DOI:10.1186/gb-2014-15-2-r29> and the sample size calculation method
 proposed for microarray experiments by Liu and Hwang (2007)
 <DOI:10.1093/bioinformatics/btl664>. We develop a set of functions that
 calculates appropriate sample sizes for two-sample t-test for RNA-seq
 experiments with fixed or varied set of parameters. The outputs also contain
 a plot of power versus sample size, a table of power at different sample
 sizes, and a table of critical test values at different sample sizes.  To
 install this package, please use
 'source("http://bioconductor.org/biocLite.R"); biocLite("ssizeRNA")'.  For R
 version 3.5 or greater, please use 'if(!requireNamespace("BiocManager",
 quietly = TRUE)){install.packages("BiocManager")};
 BiocManager::install("ssizeRNA")'.

Package: r-cran-ssm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 352
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssm_1.0.1-1.ca2004.1_all.deb
Size: 263652
MD5sum: fbc4f19ac2a9ff6fdd31cd8781d3c52c
SHA1: 3d8012533333a109df37479dc637d9b6d51ea488
SHA256: 0b176df9489c3173b59f0279ec6f79a5321f6d0db58c84510348cf14e722876e
SHA512: c8efafb384cd606a54ee7165b40d5a4f2fedb5e3d8fb55a7454a6efe53bb2dc48d4950f935a8849a1027f913138a2336ded3f3e11522ba509cd3ab029f19432e
Homepage: https://cran.r-project.org/package=SSM
Description: CRAN Package 'SSM' (Fit and Analyze Smooth Supersaturated Models)
 Creates an S4 class "SSM" and defines functions for fitting smooth
 supersaturated models, a polynomial model with spline-like behaviour.
 Functions are defined for the computation of Sobol indices for sensitivity
 analysis and plotting the main effects using FANOVA methods. It also
 implements the estimation of the SSM metamodel error using a GP model with a
 variety of defined correlation functions.

Package: r-cran-ssmn
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mnormt, r-cran-moments, r-cran-truncdist, r-cran-sn
Filename: pool/dists/focal/main/r-cran-ssmn_1.1-1.ca2004.1_all.deb
Size: 123328
MD5sum: 60635d55191100cf0064c0c48ccb23c5
SHA1: 285b4d258d5f69bae355b8baf62b4786b1c264f5
SHA256: 54f29647a8538d28d9c76ba3d7879efff3c2addf16fcf1a9031f2850eb7d0199
SHA512: d642b9f608a3f1fec9866c82f0218736cffbe141643b378c44f3a25da6c39a7dfc7df3e4490dcdc23bd3a53dcd53ff0626922217004f2d96404d0b9fa3983b52
Homepage: https://cran.r-project.org/package=ssmn
Description: CRAN Package 'ssmn' (Skew Scale Mixtures of Normal Distributions)
 Performs the EM algorithm for regression models using Skew Scale Mixtures of
 Normal Distributions.

Package: r-cran-ssmodels
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1353
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-sn, r-cran-numderiv, r-cran-pracma, r-cran-misctools, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-testthat, r-cran-maxlik, r-cran-mvtnorm, r-cran-sampleselection, r-cran-kableextra, r-cran-kfigr, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-ssmodels_2.0.1-1.ca2004.1_all.deb
Size: 1149136
MD5sum: e6458dab20ddd98835c10471db585a53
SHA1: c309cc642b0fd5e966b262c7b809a4a52454ac0e
SHA256: 5255477c2b190054b6f27eab61c1ac537d22118d553f32c555990bff4df6fce3
SHA512: cac5bd34368f713fc5a54a033c70ab956a05525db9f1dbb2f97a0501f8f31e7592367bf2a4b054c20b92fefbda3134cb1f42bdfb2ca7fb6fda99dd542763bb11
Homepage: https://cran.r-project.org/package=ssmodels
Description: CRAN Package 'ssmodels' (Sample Selection Models)
 In order to facilitate the adjustment of the sample selection models
 existing in the literature, we created the 'ssmodels' package. Our package
 allows the adjustment of the classic Heckman model (Heckman (1976), Heckman
 (1979) <doi:10.2307/1912352>), and the estimation of the parameters of this
 model via the maximum likelihood method and two-step method, in addition to
 the adjustment of the Heckman-t models introduced in the literature by
 Marchenko and Genton (2012) <doi:10.1080/01621459.2012.656011> and the
 Heckman-Skew model introduced in the literature by Ogundimu and Hutton
 (2016) <doi:10.1111/sjos.12171>. We also implemented functions to adjust the
 generalized version of the Heckman model, introduced by Bastos,
 Barreto-Souza, and Genton (2021) <doi:10.5705/ss.202021.0068>, that allows
 the inclusion of covariables to the dispersion and correlation parameters,
 and a function to adjust the Heckman-BS model introduced by Bastos and
 Barreto-Souza (2020) <doi:10.1080/02664763.2020.1780570> that uses the
 Birnbaum-Saunders distribution as a joint distribution of the selection and
 primary regression variables. This package extends and complements existing
 R packages such as 'sampleSelection' (Toomet and Henningsen, 2008) and
 'ssmrob' (Zhelonkin et al., 2016), providing additional robust and flexible
 sample selection models.

Package: r-cran-ssmrcd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-robustbase, r-cran-scales, r-cran-car, r-cran-dbscan, r-cran-plot3d, r-cran-dplyr, r-cran-ggplot2, r-cran-expm, r-cran-foreach, r-cran-doparallel, r-cran-rrcov, r-cran-desctools, r-cran-rootsolve, r-cran-matrix, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssmrcd_1.1.0-1.ca2004.1_all.deb
Size: 935816
MD5sum: 218ac07ade74c23062363a9f0d5447c1
SHA1: 7c7ef86b31026a5f72c6756292103c8a0ad0b9ba
SHA256: 95530fcf670ff8f1eceb4e187f3f710a23d1bdb494ac03fd9027375967722938
SHA512: 7816ff5579ed52f2f4c6b8bc29ebc89a7b6bdb661ac929d70ab397051645674ef5385206d0a2103caf6f1ade05ecab58f30d37517c3ce1ac3c656ddc18a54128
Homepage: https://cran.r-project.org/package=ssMRCD
Description: CRAN Package 'ssMRCD' (Spatially Smoothed MRCD Estimator)
 Estimation of the Spatially Smoothed Minimum Regularized Determinant
 (ssMRCD) estimator and its usage in an ssMRCD-based outlier detection method
 as described in Puchhammer and Filzmoser (2023)
 <doi:10.1080/10618600.2023.2277875> and for sparse robust PCA for
 multi-source data described in Puchhammer, Wilms and Filzmoser (2024)
 <doi:10.48550/arXiv.2407.16299>. Included are also complementary
 visualization and parameter tuning tools.

Package: r-cran-ssmrob
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sampleselection, r-cran-robustbase, r-cran-mass
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ssmrob_1.0-1.ca2004.1_all.deb
Size: 251652
MD5sum: 8141509519e1b84f16fbf84365b8408b
SHA1: 8000fa46f7f49f606be7095cc5e096eecf356e39
SHA256: c757e3cc8f7b145bdb741911b6309ff15725f88b716825f82169a06efa82240a
SHA512: 9b31e6d6c33ceed8d9e64b691d0297077843cd537cb1750846ac21a66f6de2a2c295b62be5aede95800dd455463f7eaa4c72ff49118bffbd493109b52c0f7f4d
Homepage: https://cran.r-project.org/package=ssmrob
Description: CRAN Package 'ssmrob' (Robust Estimation and Inference in Sample Selection Models)
 Package provides a set of tools for robust estimation and inference for
 models with sample selectivity and endogenous treatment model. For details,
 see Zhelonkin and Ronchetti (2021) <doi:10.18637/jss.v099.i04>.

Package: r-cran-ssmsn
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcmcpack
Filename: pool/dists/focal/main/r-cran-ssmsn_0.2.0-1.ca2004.1_all.deb
Size: 15932
MD5sum: 8d19289c6c115e9b9ff00dc43fd14d28
SHA1: 6096f3c93b5c944c4d187d8a68ec17e92caefeca
SHA256: 32e40609fb0161f3070115dab08cdb96648b9fab19178c2f7482bf1ef9d21add
SHA512: 7cebaaba1ea0f1fa4b6141b79442a5d4dc6275783dded933e90b039a0db81370e3219948655d769a22589a9f561a72c14de5e6913c916090daf9ec3c24a738f0
Homepage: https://cran.r-project.org/package=ssmsn
Description: CRAN Package 'ssmsn' (Scale-Shape Mixtures of Skew-Normal Distributions)
 It provides the density and random number generator for the Scale-Shape
 Mixtures of Skew-Normal Distributions proposed by Jamalizadeh and Lin (2016)
 <doi:10.1007/s00180-016-0691-1>.

Package: r-cran-ssmutpa
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3308
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggridges, r-cran-igraph, r-cran-kernlab, r-bioc-maftools, r-cran-matrix, r-cran-nbclust, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-survival
Suggests: r-cran-knitr, r-cran-qpdf, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssmutpa_0.1.2-1.ca2004.1_all.deb
Size: 1941136
MD5sum: 3b6575bbc67babe545cfb46f5c86871e
SHA1: 06f2b64abaec165d91b13be8ee78fd26628a1941
SHA256: e66c3525cd9f83e298300e28e6b174ae55cb673a8d50e0e3304d290ea30cbaf2
SHA512: 4a31b7e12b8edbad5a7adb3cfcdfcd0e9d1d8bad5d584144087bae7118178304648d0893f3b599d1ed4c3ac9045df0c53246bfd77d13a7a16241825495b39765
Homepage: https://cran.r-project.org/package=ssMutPA
Description: CRAN Package 'ssMutPA' (Single-Sample Mutation-Based Pathway Analysis)
 A systematic bioinformatics tool to perform single-sample mutation-based
 pathway analysis by integrating somatic mutation data with the
 Protein-Protein Interaction (PPI) network. In this method, we use local and
 global weighted strategies to evaluate the effects of network genes from
 mutations according to the network topology and then calculate the
 mutation-based pathway enrichment score (ssMutPES) to reflect the
 accumulated effect of mutations of each pathway. Subsequently, the ssMutPES
 profiles are used for unsupervised spectral clustering to identify cancer
 subtypes.

Package: r-cran-ssnbayes
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4960
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-rstan, r-cran-sf, r-cran-ssn2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssnbayes_0.0.3-1.ca2004.1_all.deb
Size: 790160
MD5sum: db35bce9532fa50a7e8370595341bf6d
SHA1: 83e101ef4b46abb50541a479507dcb683a31cf17
SHA256: b633396ed6e57626ef166b21cdb9ca3dae2f8aba8c804102f805a7cdcf524a99
SHA512: eaf3e692d145c02dcb02ddb7b6609bf546785c522e663d18f2d3b9827d0a42b02881c690e4c3e8ae84b9d2e2e31015f69a7cab42433e10d2c50484cc2126dbb3
Homepage: https://cran.r-project.org/package=SSNbayes
Description: CRAN Package 'SSNbayes' (Bayesian Spatio-Temporal Analysis in Stream Networks)
 Fits Bayesian spatio-temporal models and makes predictions on stream
 networks using the approach by Santos-Fernandez, Edgar, et al.
 (2022)."Bayesian spatio-temporal models for stream networks".
 <arXiv:2103.03538>. In these models, spatial dependence is captured using
 stream distance and flow connectivity, while temporal autocorrelation is
 modelled using vector autoregression methods.

Package: r-cran-ssnbler
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-dplyr, r-cran-pdist, r-cran-igraph, r-cran-rsqlite, r-cran-withr, r-cran-ssn2, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssnbler_1.1.0-1.ca2004.1_all.deb
Size: 874064
MD5sum: b8fe81e0367589df1de6307940013115
SHA1: a873a8dbe8885742d2a9f98a13bfbc34f4d2c2ee
SHA256: 6daf5b583bd9a30c3931ecd514ae2393ca46b204311cec073bf2e2b3a67dcc16
SHA512: 7b048280e97dec30e08a5bd4b7ca3caa44661a42d2140628c86ccf56e3a59ee3117145383aff2ffcbadb0d34f804b618c1a230a1cfc4ae260978909fe88b531f
Homepage: https://cran.r-project.org/package=SSNbler
Description: CRAN Package 'SSNbler' (Assemble 'SSN' Objects)
 Import, create and assemble data needed to fit spatial-statistical
 stream-network models using the 'SSN2' package for 'R'. Streams,
 observations, and prediction locations are represented as simple features
 and specific tools provided to define topological relationships between
 features; calculate the hydrologic distances (with flow-direction preserved)
 and the spatial additive function used to weight converging stream segments;
 and export the topological, spatial, and attribute information to an `SSN`
 (spatial stream network) object, which can be efficiently stored, accessed
 and analysed in 'R'. A detailed description of methods used to calculate and
 format the spatial data can be found in Peterson, E.E. and Ver Hoef, J.M.,
 (2014) <doi:10.18637/jss.v056.i02>.

Package: r-cran-ssp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 324
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-sampling, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ssp_1.0.2-1.ca2004.1_all.deb
Size: 199660
MD5sum: 5598d39b006c09a2aaede556469ba3aa
SHA1: fdbb08ac5cc35488bb777b9a4878a329aa05b41d
SHA256: d0cc2df7676e3da3e5240c45a7d07fde5fcf8f5043bc9ca591469e9b313511bd
SHA512: 6d23b7b6724f8b87f6ed82e7c74f6b533d69791f397ed1bd1a226076b1d93b5405ff6674b868a494498d4ed05586863ebdc41ca291a08804538e6914ad2c43a3
Homepage: https://cran.r-project.org/package=SSP
Description: CRAN Package 'SSP' (Simulated Sampling Procedure for Community Ecology)
 The Simulation-based Sampling Protocol (SSP) is an R package designed to
 estimate sampling effort in studies of ecological communities. It is based
 on the concept of pseudo-multivariate standard error (MultSE) (Anderson &
 Santana-Garcon, 2015, <doi:10.1111/ele.12385>) and the simulation of
 ecological data. The theoretical background is described in Guerra-Castro et
 al. (2020, <doi:10.1111/ecog.05284>).

Package: r-cran-ssplots
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-ssplots_0.1.2-1.ca2004.1_all.deb
Size: 52348
MD5sum: 57f53d320a590127dbb76b79313169a4
SHA1: ed30f97d430ab2bff8aa3ee5b3adf40cf4680966
SHA256: 2e513e870002e2138d71f901fd9ff87541661d621669c87ea52948dd6d285605
SHA512: a534a414af259cdff398fc9d4656241986f57212568fffdecfe0c556a0ad8cf16b4a237dfe036aba051d0048d436c1fe9c5ae1df2c8ec2636badc779eaabc050
Homepage: https://cran.r-project.org/package=SSplots
Description: CRAN Package 'SSplots' (Stock Status Plots (SSPs))
 Pauly et al. (2008)
 <http://legacy.seaaroundus.s3.amazonaws.com/doc/Researcher+Publications/dpauly/PDF/2008/Books%26Chapters/FisheriesInLargeMarineEcosystems.pdf>
 created (and coined the name) 'Stock Status Plots' for a UNEP compendium on
 Large Marine Ecosystems(LMEs, Sherman and Hempel
 (2009)<https://marineinfo.org/imis?module=ref&refid=142061&printversion=1&dropIMIStitle=1>).
 Stock status plots are bivariate graphs summarizing the status (e.g.,
 developing, fully exploited, overexploited, etc.), through time, of the
 multispecies fisheries of a fished area or ecosystem. This package contains
 three functions to generate stock status plots viz., SSplots_pauly() (as per
 the criteria proposed by Pauly et al.,2008), SSplots_kleisner() (as per the
 criteria proposed by Kleisner and Pauly (2011)
 <http://www.ecomarres.com/downloads/regional.pdf> and Kleisner et al. (2013)
 <doi:10.1111/j.1467-2979.2012.00469.x>)and SSplots_EPI() (as per the
 criteria proposed by Jayasankar et al.,2021
 <https://eprints.cmfri.org.in/11364/>).

Package: r-cran-sspm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-mgcv, r-cran-units, r-cran-checkmate, r-cran-cli, r-cran-tibble, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr, r-cran-ggplot2, r-cran-ggforce, r-cran-lwgeom, r-cran-tweedie, r-cran-sfdct, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sspm_1.0.3-1.ca2004.1_all.deb
Size: 2703440
MD5sum: c5047b3662bafab22ca4c43939030228
SHA1: a7a571b4f6d75a55e9645d5f62704469baf7636a
SHA256: e4542bb9fedfab6341691aa16a20c464425da43e3a7e9aa26e7b4aae3bd4b45d
SHA512: ae382e161018aaad7f7aa83213d2c8d8eb6c83d30e978c09e3ebda84577fc2aa86995b56a5a7b2f1168fdb203beeb0e0930a1e802894e4daa045a44ca4e7c0ad
Homepage: https://cran.r-project.org/package=sspm
Description: CRAN Package 'sspm' (Spatial Surplus Production Model Framework for Northern ShrimpPopulations)
 Implement a GAM-based (Generalized Additive Models) spatial surplus
 production model (spatial SPM), aimed at modeling northern shrimp population
 in Atlantic Canada but potentially to any stock in any location. The package
 is opinionated in its implementation of SPMs as it internally makes the
 choice to use penalized spatial gams with time lags. However, it also aims
 to provide options for the user to customize their model. The methods are
 described in Pedersen et al. (2022,
 <https://www.dfo-mpo.gc.ca/csas-sccs/Publications/ResDocs-DocRech/2022/2022_062-eng.html>).

Package: r-cran-ssr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-e1071
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tgp
Filename: pool/dists/focal/main/r-cran-ssr_0.1.1-1.ca2004.1_all.deb
Size: 191600
MD5sum: 05f12dd7db4af7218c5130e71c803c40
SHA1: e4aa15124810622599eee261d1e5a81270505ae3
SHA256: 7d3b3da3da4ca320e53612d272b6da0e5a8f33c07cdc015a81b14283c46770cd
SHA512: 5b25ef51a92e77c604b1c1bd603a7793d4df2ad0ded62b0ccf3b1ff54161f893c5760166ff6dd38b892e0edb83ef749022b3ffcbab864f3121d86d06b83eb6f8
Homepage: https://cran.r-project.org/package=ssr
Description: CRAN Package 'ssr' (Semi-Supervised Regression Methods)
 An implementation of semi-supervised regression methods including
 self-learning and co-training by committee based on Hady, M. F. A.,
 Schwenker, F., & Palm, G. (2009) <doi:10.1007/978-3-642-04274-4_13>. Users
 can define which set of regressors to use as base models from the 'caret'
 package, other packages, or custom functions.

Package: r-cran-ssra
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shape, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ssra_0.1-1-1.ca2004.1_all.deb
Size: 103000
MD5sum: 882b0e223adc2706babb950fe64c5245
SHA1: 80f8a6bcb0d548761ea4b77a2641abe0db88a20e
SHA256: d63d380e305842497bb38761c1d351d9b1d59106cc5f817f67be78d84cbebb07
SHA512: 927a836602c00af247b011100935093e132e168c59bdb61ac85a762fa5ff94f0d70e6a02590a5d83a5b8ff7e34c81abab1d923e9258a37fbe291c9fc692c67d5
Homepage: https://cran.r-project.org/package=SSRA
Description: CRAN Package 'SSRA' (Sakai Sequential Relation Analysis)
 'Takea Semantic Structure Analysis' (TSSA) and 'Sakai Sequential Relation
 Analysis' (SSRA) for polytomous items. Package includes functions for
 generating a sequential relation table and a treegram to visualize the
 sequential relations between pairs of items.

Package: r-cran-ssrat
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 181
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-sna
Filename: pool/dists/focal/main/r-cran-ssrat_1.1-1.ca2004.1_all.deb
Size: 120168
MD5sum: 09a46df9abe86e41282db864131b6b07
SHA1: a2666b1ff536e8cf21280e493cef03acc09ad691
SHA256: cbc87352b104185ba9671aec5ae581cf119afcd5954c659a873e174e7d464458
SHA512: f970523f608ca7da89004d9a8bc94cbe775b67bba99642c34bc624ce59312e4395b48482a8b0e562e9b8eabc0852a73bf8ddef9d26bbea1e9239171e5943e944
Homepage: https://cran.r-project.org/package=SSrat
Description: CRAN Package 'SSrat' (Two-Dimensional Sociometric Status Determination with RatingScales)
 A set of functions for two-dimensional sociometric status determination with
 rating scales. For each person assessed, SSrat computes probability
 distributions of the total scores for `Sympathy' (S), `Antipathy' (A),
 social `Preference' (P) and social `Impact' (I), and applies a set of
 criteria for sociometric status categorization.

Package: r-cran-ssrm.logmer
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-statmod, r-cran-sfsmisc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssrm.logmer_0.1-1.ca2004.1_all.deb
Size: 26232
MD5sum: 6985367513b2d49615be9f4ae6eb6c2b
SHA1: 630c9a3d45ddb592e1b4411e343add52aed5d954
SHA256: da86b88146eefef2d70fbcf316ef97940374d6b29490954abef3ff3a16c8e39a
SHA512: f56c2ba364f37b581181cfdf6a032f24b82b5ae3eda4900b8a0007ef4a8b8631d50fadae7662490e1373040cafc648aae6e76448f9a203ded37fdf395ebde86f
Homepage: https://cran.r-project.org/package=ssrm.logmer
Description: CRAN Package 'ssrm.logmer' (Sample Size Determination for Longitudinal Designs with BinaryOutcome)
 Provides the necessary sample size for a longitudinal study with binary
 outcome in order to attain a pre-specified power while strictly maintaining
 the Type I error rate.  Kapur K, Bhaumik R, Tang XC, Hur K, Reda DJ, Bhaumik
 D (2014) <doi:10.1002/sim.6203>.

Package: r-cran-ssrmst
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-survrm2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssrmst_0.1.1-1.ca2004.1_all.deb
Size: 35104
MD5sum: 7a0594af2e2328a551a769d4839eb7c3
SHA1: 70c5a46d4339637984648c078fd64f48b07b83a6
SHA256: 2e83203e9aaea36bf670b6399064c371257aefab44d718a0490279938ded8d13
SHA512: af17212b02918e57a97eeb596047254027612d06cb02f05fa02a06cddb48c67a2ac70dfcaa4d878b50a2968a06aae21d9f8747ee115e537799f1489f065fa716
Homepage: https://cran.r-project.org/package=SSRMST
Description: CRAN Package 'SSRMST' (Sample Size Calculation using Restricted Mean Survival Time)
 Calculates the power and sample size based on the difference in Restricted
 Mean Survival Time.

Package: r-cran-ssrn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 640
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssrn_0.1.0-1.ca2004.1_all.deb
Size: 618436
MD5sum: 091b7b996af51b2f2d191330bc133792
SHA1: a20eeea66f293f7c0de538a467282aaf6a3f23a1
SHA256: 776656354ed0f1604e7f3a999ad3fc9df4fd9ee81e2ff2478162cab7772fcbc8
SHA512: a9474a780c1c5e23de04b355129e01f99cec83dee38eeb26ca178f516af9985be9b2ef319bc21902445a3e6af93da0cc5454ffb6f108cf1ac1b2cb995b07fdc5
Homepage: https://cran.r-project.org/package=ssrn
Description: CRAN Package 'ssrn' (Scan Statistics for Railway Network)
 Implement the algorithm provided in scan for estimating the transmission
 route on railway network using passenger volume. It is a generalization of
 the scan statistic approach for railway network to identify the hot railway
 route for transmitting infectious diseases.

Package: r-cran-ssrtcalc
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ssrtcalc_0.3.3-1.ca2004.1_all.deb
Size: 403576
MD5sum: 7612fac88d9bf28a0f79eeac4a4139f0
SHA1: f03ca93e5b2aafbc38f8561ccc43f9854440c3b5
SHA256: 3811cc3c2d451d9ad57124399c98cd221286d6ec1a15d9ae1e80b9d00650620b
SHA512: 3ed83c0d6a12a32db4049fe700ad2be7b4787b774fed453d4e57db59a8eeee0143f3a43cf3f489c5b522830a351c89fbe02587e7d88f4f7263c780adf8d91739
Homepage: https://cran.r-project.org/package=SSRTcalc
Description: CRAN Package 'SSRTcalc' (Easy SSRT Calculation)
 This is a collection of functions to calculate stop-signal reaction time
 (SSRT). Includes functions for both "integration" and "mean" methods; both
 fixed and adaptive stop-signal delays are supported (see appropriate
 functions). Calculation is based on Verbruggen et al. (2019)
 <doi:10.7554/eLife.46323.001> and Verbruggen et al. (2013)
 <doi:10.1177/0956797612457390>.

Package: r-cran-sss
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 758
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xml2, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-spelling, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-sss_0.2.2-1.ca2004.1_all.deb
Size: 91852
MD5sum: eb3c9e42644e2f02e143142c28f88500
SHA1: 8dc8f87d8360411569898aa43621eabf16fb9e1e
SHA256: b8e8c657e37555404174d20ece0ae3fe65b05829520e60c1eef848381d76d093
SHA512: 4d06495b767b7b04f596162d40cf29186a55e138925baed6594ec74f9bb5908641fb0715aadf76dabc464a4ef470bc98a3af2d65b20752dcc82b9494f480273f
Homepage: https://cran.r-project.org/package=sss
Description: CRAN Package 'sss' (Import Files in the Triple-s (Standard Survey Structure) Format)
 Tools to import survey files in the '.sss' (triple-s) format.  The package
 provides the function 'read.sss()' that reads the '.asc' (or '.csv') and
 '.sss' files of a triple-s survey data file.  See also
 <https://triple-s.org/>.

Package: r-cran-sssc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-e1071, r-cran-ggplot2, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-sssc_1.0.0-1.ca2004.1_all.deb
Size: 233516
MD5sum: f615031517f8ce57cb33c132f7d2118d
SHA1: d1e5075f5b8fc3ae65c8e99fa726300cb02b86b1
SHA256: 265b8d3b9ca030eee588ab8d104e78e72473368627d0b03f82408659807a0ad8
SHA512: a06c8f4215b228c970efa044257759073d232de41ba39192511040c54ee0594d5f98c76111ebffc46a50e0d27c76466cf7308292fe0e815cd6738494b8d88f75
Homepage: https://cran.r-project.org/package=sssc
Description: CRAN Package 'sssc' (Same Species Sample Contamination Detection)
 Imports Variant Calling Format file into R. It can detect whether a sample
 contains contaminant from the same species.  In the first stage of the
 approach, a change-point detection method is used to identify copy number
 variations for filtering.  Next, features are extracted from the data for a
 support vector machine model. For log-likelihood calculation, the deviation
 parameter is estimated by maximum likelihood method. Using a radial basis
 function kernel support vector machine, the contamination of a sample can be
 detected.

Package: r-cran-sssimple
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-maps
Filename: pool/dists/focal/main/r-cran-sssimple_0.6.6-1.ca2004.1_all.deb
Size: 353420
MD5sum: 44140e3c9c244a4a3a4438d2eb8fa0e1
SHA1: 26fddd52b3564aba1e5f6cd62823a9ca9ab95f5c
SHA256: 7d68cc9f2a08380d39be9b0ce0b1feef288318fce73c8cbe0ffd4fc11d11852e
SHA512: d266074edae5fce0c491069f77842f8ad003defc1cc9ba3a57ecefb7df6ad3e09cbeb9e386abc45873fa0395bc44f3ede891dab0d65309048e1f6053afcd8fff
Homepage: https://cran.r-project.org/package=SSsimple
Description: CRAN Package 'SSsimple' (State Space Models)
 Simulate, solve state space models.

Package: r-cran-sstack
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest, r-cran-foreach, r-cran-dplyr, r-cran-doparallel
Filename: pool/dists/focal/main/r-cran-sstack_1.0.1-1.ca2004.1_all.deb
Size: 662980
MD5sum: 6ccc7b92b8cdefe31c67cf9b95d233c9
SHA1: a97d923d78b82e42436b4f245ae5b59b1a68d55c
SHA256: 4016adf4ea93e2ce5529dfea1af123169d0c885bd495d537ddea7137448e2b2a
SHA512: 00e0af439e361c5c024d057cada520b265a39fea259bfda4f5948acf118aed6bc2bdee670c4fcd8ce5d273445014d53a6b4261faa9d7082d0895c09ecbeec4b0
Homepage: https://cran.r-project.org/package=Sstack
Description: CRAN Package 'Sstack' (Bootstrap Stacking of Random Forest Models for HeterogeneousData)
 Generates and predicts a set of linearly stacked Random Forest models using
 bootstrap sampling. Individual datasets may be heterogeneous (not all
 samples have full sets of features). Contains support for parallelization
 but the user should register their cores before running. This is an
 extension of the method found in Matlock (2018)
 <doi:10.1186/s12859-018-2060-2>.

Package: r-cran-ssutil
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 540
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-broom, r-cran-mass, r-cran-gsdesign, r-cran-mvtnorm, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssutil_1.0.0-1.ca2004.1_all.deb
Size: 396240
MD5sum: 3855dcff720ae398ffeab7d8c0ce4949
SHA1: fa5471d31ca761eb287876dc188551771c4cab07
SHA256: 902e73bfea5e999758ea3bb91af609b53a97644d558739a3e695bd2cd5cc10c6
SHA512: 169b5b81611b498170f53f88290eb5794e1650ad7cad7fe865fda29156b0ded82a67be4374e7fc58078da21013aa6bca1398cdfaed021378da165438ef378024
Homepage: https://cran.r-project.org/package=ssutil
Description: CRAN Package 'ssutil' (Sample Size Calculation Tools)
 Functions for sample size estimation and simulation in clinical trials.
 Includes methods for selecting the best group using the Indifference-zone
 approach, as well as designs for non-inferiority, equivalence, and negative
 binomial models. For the sample size calculation for non-inferiority of
 vaccines, the approach is based on Fleming, Powers, and Huang (2021)
 <doi:10.1177/1740774520988244>. The Indifference-zone approach is based on
 Sobel and Huyett (1957) <doi:10.1002/j.1538-7305.1957.tb02411.x> and
 Bechhofer, Santner, and Goldsman (1995, ISBN:978-0-471-57427-9).

Package: r-cran-ssvd
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ssvd_1.0-1.ca2004.1_all.deb
Size: 36092
MD5sum: c588f3b06f3b649f06026fe1b8131f57
SHA1: 27f79066df1ca6b9b692e41fa8a30ee0ec3694ed
SHA256: d2e18d6389208a5a421dcc5a932992295769122d39eb6fc4b771d36d29074adf
SHA512: 016a1f2770c6dac1a5e5ccd68f7f5ac6008a46242cba6243328c5865c41a685032c0cdaf20f7607fed381a1357bb4a3adb3fc85c9be9f834363fa9b264964650
Homepage: https://cran.r-project.org/package=ssvd
Description: CRAN Package 'ssvd' (Sparse SVD)
 Fast iterative thresholding sparse SVD, together with an initialization
 algorithm

Package: r-cran-ssvs
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3661
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayestestr, r-cran-boomspikeslab, r-cran-checkmate, r-cran-ggplot2, r-cran-rlang, r-cran-dplyr, r-cran-magrittr, r-cran-gridextra
Suggests: r-cran-aer, r-cran-bslib, r-cran-foreign, r-cran-glue, r-cran-knitr, r-cran-mice, r-cran-psych, r-cran-reactable, r-cran-readxl, r-cran-rmarkdown, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ssvs_2.1.0-1.ca2004.1_all.deb
Size: 3662732
MD5sum: 936b1d6e3a86c8d8f3fc8fc9e126d8e6
SHA1: ad8a8cc020ec24f99a5012553f0874d4676d7f92
SHA256: 84bf35a7b1bfc0d7ab5556e79cbb4739463c6b210860d035b80c51fce40de5ad
SHA512: 968b87c1fe77a629e9df6ee0cdbe5987da3392ef985aec0895c33a6cc1a7ff758d59d7b4a8e00f8b2ff83e204b483063cb96a168c9e143c32128130c836b3498
Homepage: https://cran.r-project.org/package=SSVS
Description: CRAN Package 'SSVS' (Functions for Stochastic Search Variable Selection (SSVS))
 Functions for performing stochastic search variable selection (SSVS) for
 binary and continuous outcomes and visualizing the results.  SSVS is a
 Bayesian variable selection method used to estimate the probability that
 individual predictors should be included in a regression model.  Using MCMC
 estimation, the method samples thousands of regression models in order to
 characterize the model uncertainty regarding both the predictor set and the
 regression parameters. For details see Bainter, McCauley, Wager, and Losin
 (2020) Improving practices for selecting a subset of important predictors in
 psychology: An application to predicting pain, Advances in Methods and
 Practices in Psychological Science 3(1), 66-80
 <DOI:10.1177/2515245919885617>.

Package: r-cran-ssw
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ssw_0.2.1-1.ca2004.1_all.deb
Size: 252724
MD5sum: 09cd0e22ee6a9a8c773b505939f4a4d7
SHA1: 84186b1bca95efdfb5ffa83b10dfb00885bf6aa2
SHA256: 5902b76f8892d2762a5714c8496bff59f526bb5d90ce146d74a2821b1f3a9bae
SHA512: 9095c6bd46bf2d811d00cb9d7bb473b396c6ac8dd23704890bd6c3d11d974f4d9b160dab18f6e406c585998a09ace8c179ad3c583aed6bfcbf88c6ee72d7c36f
Homepage: https://cran.r-project.org/package=ssw
Description: CRAN Package 'ssw' (Striped Smith-Waterman Algorithm for Sequence Alignment usingSIMD)
 Provides an R interface for 'SSW' (Striped Smith-Waterman) via its 'Python'
 binding 'ssw-py'. 'SSW' is a fast 'C' and 'C++' implementation of the
 Smith-Waterman algorithm for pairwise sequence alignment using
 Single-Instruction-Multiple-Data (SIMD) instructions.  'SSW' enhances the
 standard algorithm by efficiently returning alignment information and
 suboptimal alignment scores.  The core 'SSW' library offers performance
 improvements for various bioinformatics tasks, including protein database
 searches, short-read alignments, primary and split-read mapping, structural
 variant detection, and read-overlap graph generation.  These features make
 'SSW' particularly useful for genomic applications.  Zhao et al. (2013)
 <doi:10.1371/journal.pone.0082138> developed the original 'C' and 'C++'
 implementation.

Package: r-cran-ssym
Architecture: all
Version: 1.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gigrvg, r-cran-numderiv, r-cran-normalp, r-cran-formula, r-cran-survival, r-cran-sandwich
Suggests: r-cran-nistnls, r-cran-gam, r-cran-sn, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ssym_1.5.8-1.ca2004.1_all.deb
Size: 341508
MD5sum: 8b5230c2e9619d03ed20e5de66847172
SHA1: c02ccf3e700f1ba8a6cbba812fafa6ab4abd0d70
SHA256: 62057d3733c97da0f7d4882d60978e16fe932ac730b92102df0005838d171673
SHA512: e84c172de0789d8c888fc5fa173c392824d295f3e0cd5737c4d5455379078b997f362a19f49c9b5f9955e212ef828669d68bf0e3810b06871f0e67f3eb2fa398
Homepage: https://cran.r-project.org/package=ssym
Description: CRAN Package 'ssym' (Fitting Semi-Parametric log-Symmetric Regression Models)
 Set of tools to fit a semi-parametric regression model suitable for analysis
 of data sets in which the response variable is continuous, strictly
 positive, asymmetric and possibly, censored. Under this setup, both the
 median and the skewness of the response variable distribution are explicitly
 modeled by using semi-parametric functions, whose non-parametric components
 may be approximated by natural cubic splines or P-splines. Supported
 distributions for the model error include log-normal, log-Student-t,
 log-power-exponential, log-hyperbolic, log-contaminated-normal, log-slash,
 Birnbaum-Saunders and Birnbaum-Saunders-t distributions.

Package: r-cran-st
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sda, r-cran-fdrtool, r-cran-corpcor
Suggests: r-bioc-limma, r-cran-samr
Filename: pool/dists/focal/main/r-cran-st_1.2.7-1.ca2004.1_all.deb
Size: 586084
MD5sum: f18352998b11ecb270ff7af4f44a3be1
SHA1: 022792d4bdf923bf0e04092f3a91c30f29d6e56a
SHA256: d2443aba4cb845d61b26f1a6dae0d11759880dd548ac1c54c0d21c1762b40948
SHA512: 2ebeb37c81bb10cdbb5e42fd555ab1b2b2becf895162c1463af99a9f771654071e9a00ef285cb3a676ce00f6ada43ac7afdd6faa2c2d18d57aaaa8384eacc52a
Homepage: https://cran.r-project.org/package=st
Description: CRAN Package 'st' (Shrinkage t Statistic and Correlation-Adjusted t-Score)
 Implements the "shrinkage t" statistic introduced in Opgen-Rhein and
 Strimmer (2007) <DOI:10.2202/1544-6115.1252> and a shrinkage estimate of the
 "correlation-adjusted t-score" (CAT score) described in Zuber and Strimmer
 (2009) <DOI:10.1093/bioinformatics/btp460>.  It also offers a convenient
 interface to a number of other regularized t-statistics commonly employed in
 high-dimensional case-control studies.

Package: r-cran-sta
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2152
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-raster, r-cran-geots, r-cran-foreach, r-cran-trend, r-cran-doparallel, r-cran-mapview, r-cran-rcolorbrewer
Suggests: r-cran-sp
Filename: pool/dists/focal/main/r-cran-sta_0.1.7-1.ca2004.1_all.deb
Size: 2018484
MD5sum: bfa02c49a63a3c3c87d135f82eab5b43
SHA1: 89a9fe421f56f584d97b7bcb1dd013ee92dcda23
SHA256: 879d0f5f0591e9e9e60342074c411a4b781d3657eed79130ef25997d2c6f74d0
SHA512: 931f3079c7175b9a963e86a679dca581dd046140a7a093b8b34d6e9eaef6660c715a20a370cc9aaf62fc91b455e3481b4719978d88232f1e821f46dc32b47f10
Homepage: https://cran.r-project.org/package=sta
Description: CRAN Package 'sta' (Seasonal Trend Analysis for Time Series Imagery in R)
 Efficiently estimate shape parameters of periodic time series imagery with
 which a statistical seasonal trend analysis (STA) is subsequently performed.
 STA output can be exported in conventional raster formats.  Methods to
 visualize STA output are also implemented as well as the calculation of
 additional basic statistics. STA is based on (R. Eastman, F. Sangermano, B.
 Ghimire, H. Zhu, H. Chen, N. Neeti, Y. Cai, E. Machado and S. Crema, 2009)
 <doi:10.1080/01431160902755338>.

Package: r-cran-stabiliser
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-dplyr, r-cran-bigstep, r-cran-rsample, r-cran-tibble, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-ggplot2, r-cran-broom, r-cran-caret, r-cran-ncvreg, r-cran-knitr, r-cran-hmisc, r-cran-expss, r-cran-lme4, r-cran-matrixstats, r-cran-recipes, r-cran-lmertest
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-stabiliser_1.0.6-1.ca2004.1_all.deb
Size: 148712
MD5sum: 236d7b2a0b55da3e3277f275d79cb408
SHA1: e9c988f7829d833030294183cb573bd5128b899f
SHA256: 0454ac7f844a81b15eb1219abdd1e000dc99d3ea819154381c321e71eaab6400
SHA512: dd9a9f806d77c7be59ad101e4f2c297132cc7a4834da603a453ce0cd6e22b89de6bdc179ebc04d37f5460d68a046b762a40c9fb7d3f013fed8d9af9e836e5d9f
Homepage: https://cran.r-project.org/package=stabiliser
Description: CRAN Package 'stabiliser' (Stabilising Variable Selection)
 A stable approach to variable selection through stability selection and the
 use of a permutation-based objective stability threshold. Lima et al (2021)
 <doi:10.1038/s41598-020-79317-8>, Meinshausen and Buhlmann (2010)
 <doi:10.1111/j.1467-9868.2010.00740.x>.

Package: r-cran-stability
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggfortify, r-cran-lme4, r-cran-magrittr, r-cran-matrixstats, r-cran-reshape2, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-stability_0.6.0-1.ca2004.1_all.deb
Size: 122116
MD5sum: d48ad7e0858d7adb77a838c4a3521c55
SHA1: 56560b1cda86c458a100beaf226736dcd179d53f
SHA256: bef9c860b8c78c9d527a5059e932d5fdfd5f5ddc3d635dacd900394d07ede5b3
SHA512: c4ab759e24d2eadccb6f59da3fa1e061329f00c72bb66f6551a882506465a7c89ada75f7b8803ba92af45315cbb0a957f0c08f8e925b855c5c34ad8acedea559
Homepage: https://cran.r-project.org/package=stability
Description: CRAN Package 'stability' (Stability Analysis of Genotype by Environment Interaction (GEI))
 Provides functionalities for performing stability analysis of genotype by
 environment interaction (GEI) to identify superior and stable genotypes
 across diverse environments. It implements Eberhart and Russell’s ANOVA
 method (1966)(<doi:10.2135/cropsci1966.0011183X000600010011x>), Finlay and
 Wilkinson’s Joint Linear Regression method (1963) (<doi:10.1071/AR9630742>),
 Wricke’s Ecovalence (1962, 1964), Shukla’s stability variance parameter
 (1972) (<doi:10.1038/hdy.1972.87>), Kang’s simultaneous selection for high
 yield and stability (1991) (<doi:10.2134/agronj1991.00021962008300010037x>),
 Additive Main Effects and Multiplicative Interaction (AMMI) method and
 Genotype plus Genotypes by Environment (GGE) Interaction methods.

Package: r-cran-stabilityapp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-dt, r-cran-gridextra, r-cran-patchwork, r-cran-stability, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboardplus
Suggests: r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stabilityapp_0.1.0-1.ca2004.1_all.deb
Size: 979020
MD5sum: 2abda71c87547a92fb333d4cdad831d1
SHA1: d1104ea34c1157ec245a12cff389ea7e0f04f44c
SHA256: cb970174e48f694d3c64ab57099d2642d0eb5a9d71a7ec77cfb683ea99876e9c
SHA512: 9f961413903010d5cc724b90efea7b37b1becaee01eec57b17ad7a2124d880b9496c3c31bc01d9676b8dd7eb9e3df1c7baee1e1e5abdbb061981cf5de32d85f8
Homepage: https://cran.r-project.org/package=StabilityApp
Description: CRAN Package 'StabilityApp' (Stability Analysis App for GEI in Multi-Environment Trials)
 Provides tools for Genotype by Environment Interaction (GEI) analysis, using
 statistical models and visualizations to assess genotype performance across
 environments. It helps researchers explore interaction effects, stability,
 and adaptability in multi-environment trials, identifying the
 best-performing genotypes in different conditions. Which Win Where!

Package: r-cran-stabilizedregression
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-r6, r-cran-glmnet, r-cran-corpcor, r-cran-ggplot2, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-stabilizedregression_1.1-1.ca2004.1_all.deb
Size: 132348
MD5sum: b18cf5a1382883a13acbc6c0dd65127d
SHA1: 867b8b6308356c6427d3d2405589d33eab51c56c
SHA256: 21e722de4047537be10b9dcae42cf570846d34a10c364e27356b6b40aa95f975
SHA512: 407a4ab3370a33eb232a4781d87b32935912d6203aad1caa2608a96c365db447f1bcca1a3ce02d9674d5beaf81cc92b3f7885f1db8ae6f0c96516e4bde57e860
Homepage: https://cran.r-project.org/package=StabilizedRegression
Description: CRAN Package 'StabilizedRegression' (Stabilizing Regression and Variable Selection)
 Contains an implementation of 'StabilizedRegression', a regression framework
 for heterogeneous data introduced in Pfister et al. (2021)
 <arXiv:1911.01850>. The procedure uses averaging to estimate a regression of
 a set of predictors X on a response variable Y by enforcing stability with
 respect to a given environment variable. The resulting regression leads to a
 variable selection procedure which allows to distinguish between stable and
 unstable predictors. The package further implements a visualization
 technique which illustrates the trade-off between stability and
 predictiveness of individual predictors.

Package: r-cran-stabilo
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-stabilo_0.1.1-1.ca2004.1_all.deb
Size: 42516
MD5sum: 82b8af6485ad723ddcbe035030ca0cf5
SHA1: 9f5381b730486628dfc22d861a808667433f926f
SHA256: 4398fa3b19eef52f339ca2ac5021f120283cae26a62a85bea4da8b8be9a149ca
SHA512: 696417b50f41ce365ae7e7d568106400d51d41413fa8a91c789f3de07fe4ec9269f77f17737054f4547a8da062645ea54b44b4bc5dbec0c5b8f467eedc8e1db6
Homepage: https://cran.r-project.org/package=stabilo
Description: CRAN Package 'stabilo' (Stabilometric Signal Quantification)
 Functions for stabilometric signal quantification.  The input is a data
 frame containing the x, y coordinates of the center-of-pressure
 displacement.  Jose Magalhaes de Oliveira (2017)
 <doi:10.3758/s13428-016-0706-4> "Statokinesigram normalization method"; T E
 Prieto, J B Myklebust, R G Hoffmann, E G Lovett, B M Myklebust (1996)
 <doi:10.1109/10.532130> "Measures of postural steadiness: Differences
 between healthy young and elderly adults"; L F Oliveira et al (1996)
 <doi:10.1088/0967-3334/17/4/008> "Calculation of area of stabilometric
 signals using principal component analisys".

Package: r-cran-stabledist
Architecture: all
Version: 0.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-matrix, r-cran-fbasics, r-cran-fmstable, r-cran-runit, r-cran-rmpfr, r-cran-libstable4u
Filename: pool/dists/focal/main/r-cran-stabledist_0.7-2-1.ca2004.1_all.deb
Size: 76732
MD5sum: 139519150284974ddb4536036d18649c
SHA1: 734b545271395799948b1cb3967c3a540ffe64c8
SHA256: a2f6acd995e95a893babb322d193cb223bfa4c8d1b613458979a29ce3260f43c
SHA512: f5d15cadd9bbbd28f98ca81763fc44944bcf45f1b4f16777843229e9df2397df09562ad9dd270ded2b75f55b55f84206985c8d7c0c89a33450d238fb756f1dd1
Homepage: https://cran.r-project.org/package=stabledist
Description: CRAN Package 'stabledist' (Stable Distribution Functions)
 Density, Probability and Quantile functions, and random number generation
 for (skew) stable distributions, using the parametrizations of Nolan.

Package: r-cran-stableestim
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 546
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-xtable, r-cran-fbasics, r-cran-mass, r-cran-matrix, r-cran-stabledist, r-cran-testthat, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-stableestim_2.3-1.ca2004.1_all.deb
Size: 445040
MD5sum: d81f5325fd2cc656260ff860040b4c84
SHA1: 38bf512cfb99199be92609abe9cb234e44101ec5
SHA256: fceff0be7742f00b4e3526080213c39e42656bf5e2f6ee04c436a1db1b563bd3
SHA512: c01286539d01009920182027782060fe578f8fbd48bd4baf6ad4d40adc0ab9786cdc730350a35de04147233613e43647e68fac6c712b81056597821e28545714
Homepage: https://cran.r-project.org/package=StableEstim
Description: CRAN Package 'StableEstim' (Estimate the Four Parameters of Stable Laws using DifferentMethods)
 Estimate the four parameters of stable laws using maximum likelihood method,
 generalised method of moments with finite and continuum number of points,
 iterative Koutrouvelis regression and Kogon-McCulloch method.  The
 asymptotic properties of the estimators (covariance matrix, confidence
 intervals) are also provided.

Package: r-cran-stablegr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mcmcse, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-stablegr_1.2-1.ca2004.1_all.deb
Size: 59716
MD5sum: 68063ad094a997fecb12ca73b2ad1ff1
SHA1: f1c43cdc417302c15e4ce33c24369e3c57d53f15
SHA256: 48ce095dc12a9f66cf410d881257869ac44f941149eff0136c820d46b2ce6457
SHA512: fbb22086363d80469cf4467d83951a5d3c65724077609495e10b8bf75ef670c68a88b5f48d1650c0513b9db7399d108838c2cb878cfe5e762667890df97e28a0
Homepage: https://cran.r-project.org/package=stableGR
Description: CRAN Package 'stableGR' (A Stable Gelman-Rubin Diagnostic for Markov Chain Monte Carlo)
 Practitioners of Bayesian statistics often use Markov chain Monte Carlo
 (MCMC) samplers to sample from a posterior distribution. This package
 determines whether the MCMC sample is large enough to yield reliable
 estimates of the target distribution. In particular, this calculates a
 Gelman-Rubin convergence diagnostic using stable and consistent estimators
 of Monte Carlo variance. Additionally, this uses the connection between an
 MCMC sample's effective sample size and the Gelman-Rubin diagnostic to
 produce a threshold for terminating MCMC simulation. Finally, this informs
 the user whether enough samples have been collected and (if necessary)
 estimates the number of samples needed for a desired level of accuracy. The
 theory underlying these methods can be found in "Revisiting the Gelman-Rubin
 Diagnostic" by Vats and Knudson (2018) <arXiv:1812:09384>.

Package: r-cran-stablelearner
Architecture: all
Version: 0.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 506
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-e1071, r-cran-partykit, r-cran-party, r-cran-randomforest, r-cran-ranger
Suggests: r-cran-formula, r-cran-nnet, r-cran-rpart, r-cran-evtree, r-cran-rchallenge, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stablelearner_0.1-5-1.ca2004.1_all.deb
Size: 370076
MD5sum: 34d7a0b65a49a7392c9015a84822e957
SHA1: e742a3d41f9023c7b16204ed7f1873d642e7ed7c
SHA256: cf6e024d2a6f0564e5e5e315b823224153e538061a1636249565f8c5e320943b
SHA512: 80cd0f29400c675840bb8225505981a6dd95be6b4ca2aac30633933b971123c99bf833eb0ed1a404cfdd4eb9ee81856191761e5ffdcc719237018be759d6f511
Homepage: https://cran.r-project.org/package=stablelearner
Description: CRAN Package 'stablelearner' (Stability Assessment of Statistical Learning Methods)
 Graphical and computational methods that can be used to assess the stability
 of results from supervised statistical learning.

Package: r-cran-stablespec
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggm, r-cran-matrixcalc, r-cran-sem, r-cran-nsga2r, r-bioc-graph, r-bioc-rgraphviz, r-cran-polycor, r-cran-foreach
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stablespec_0.3.0-1.ca2004.1_all.deb
Size: 147116
MD5sum: 6d05fc08b72e5260783ccaa3a9402702
SHA1: 369d0f06ce4095b1ae346f05c88b3e21e9adcb03
SHA256: 317045723e701d9ae3c22c59e14b47f86002f076df41b32de97d0b7979bbd214
SHA512: e374ab29078e619605769a3ad3da7a57ea356a38d6536aee938c82b2041468bf57e7993c242494b1642e774ce9a82831beb51f7e8632cb119e02cc356e71cff2
Homepage: https://cran.r-project.org/package=stablespec
Description: CRAN Package 'stablespec' (Stable Specification Search in Structural Equation Models)
 An exploratory and heuristic approach for specification search in Structural
 Equation Modeling. The basic idea is to subsample the original data and then
 search for optimal models on each subset. Optimality is defined through two
 objectives: model fit and parsimony. As these objectives are conflicting, we
 apply a multi-objective optimization methods, specifically NSGA-II, to
 obtain optimal models for the whole range of model complexities. From these
 optimal models, we consider only the relevant model specifications
 (structures), i.e., those that are both stable (occur frequently) and
 parsimonious and use those to infer a causal model.

Package: r-cran-stabm
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 541
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-matrix
Suggests: r-cran-cowplot, r-cran-ggdendro, r-cran-ggplot2, r-cran-igraph, r-cran-knitr, r-cran-mlbench, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stabm_1.2.2-1.ca2004.1_all.deb
Size: 471768
MD5sum: cd6262638500f6bb116c3e4686687a06
SHA1: b5f7e6eb3959fa47a104fdb49d77887e801fbab2
SHA256: d8b05453c8e9f0676454fd5cbd33579a2de08da59bcba96a4d33c3da8b159297
SHA512: 8e86dafacf22968a9b0b8131ebd41583e09fd700c5426261e1d70f8cbfb416ab37029fa7488c9a51bb214cc6b77bebe4ead15e525aeb49f2e09155851e0b5baf
Homepage: https://cran.r-project.org/package=stabm
Description: CRAN Package 'stabm' (Stability Measures for Feature Selection)
 An implementation of many measures for the assessment of the stability of
 feature selection. Both simple measures and measures which take into account
 the similarities between features are available, see Bommert (2020)
 <doi:10.17877/DE290R-21906>.

Package: r-cran-stabs
Architecture: all
Version: 0.6-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-glmnet, r-cran-lars, r-cran-mboost, r-cran-th.data, r-cran-hdi, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stabs_0.6-4-1.ca2004.1_all.deb
Size: 135080
MD5sum: 2ff6cd54c5bc8c0c10780a47fb9da5be
SHA1: dfa3f654b6a04fccdc03c9d4b091e9c238da114c
SHA256: d5e39607976d3df3a98dfbbb949416b02fd4d1b0a623639881e75e9aa3fed267
SHA512: c626155b0594833b91c6787650991f8de7f2c48968c510faada5747aaadb3edd11514bb104f9319cfcd3fce83a0b236d1c7413c11e8b161253af760574f20f39
Homepage: https://cran.r-project.org/package=stabs
Description: CRAN Package 'stabs' (Stability Selection with Error Control)
 Resampling procedures to assess the stability of selected variables with
 additional finite sample error control for high-dimensional variable
 selection procedures such as Lasso or boosting. Both, standard stability
 selection (Meinshausen & Buhlmann, 2010,
 <doi:10.1111/j.1467-9868.2010.00740.x>) and complementary pairs stability
 selection with improved error bounds (Shah & Samworth, 2013,
 <doi:10.1111/j.1467-9868.2011.01034.x>) are implemented. The package can be
 combined with arbitrary user specified variable selection approaches.

Package: r-cran-staccuracy
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-autogam, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-staccuracy_0.2.2-1.ca2004.1_all.deb
Size: 66616
MD5sum: e724773e3a727d73a3cab3c3fb74a80d
SHA1: 3b84bf7ca7cec03f11596b83bc2de2b3ea12ab95
SHA256: af2affb814b2b6bd811e64c2a65f8a97eb32cfed4008f96f345c6a6cf8526e79
SHA512: bb5cdfa8178e11af89b052f17e468cad9457391e4cdd5f1091f2cb1fb930593c5a991e6243605aef426e5e26ded40091c2e21905b9e49a8bf5c3a7bd32ce8194
Homepage: https://cran.r-project.org/package=staccuracy
Description: CRAN Package 'staccuracy' (Standardized Accuracy and Other Model Performance Metrics)
 Standardized accuracy (staccuracy) is a framework for expressing accuracy
 scores such that 50% represents a reference level of performance and 100% is
 a perfect prediction. The 'staccuracy' package provides tools for creating
 staccuracy functions as well as some recommended staccuracy measures. It
 also provides functions for some classic performance metrics such as mean
 absolute error (MAE), root mean squared error (RMSE), and area under the
 receiver operating characteristic curve (AUCROC), as well as their
 winsorized versions when applicable.

Package: r-cran-stackgbm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-proc, r-cran-progress, r-cran-rlang
Suggests: r-cran-knitr, r-cran-lightgbm, r-cran-msaenet, r-cran-rmarkdown, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-stackgbm_0.1.0-1.ca2004.1_all.deb
Size: 364192
MD5sum: 50798c355883c9bf8a6c47dc585f6f47
SHA1: b16f6b00e6bd2ac0af3305540d85a5dc9274c271
SHA256: fe71fc95fb4c85046a44ca8e8c658e8d655fba991150cd48139c558ef21d9a76
SHA512: e4482994c8115b81f9b41783d5e51998738be564c2c313c4c948e451680afa68033cd7bc1c4c1bf1dcf0e889458272c5c8dfdad9c8c0ec1271099f223e260e3c
Homepage: https://cran.r-project.org/package=stackgbm
Description: CRAN Package 'stackgbm' (Stacked Gradient Boosting Machines)
 A minimalist implementation of model stacking by Wolpert (1992)
 <doi:10.1016/S0893-6080(05)80023-1> for boosted tree models.  A classic,
 two-layer stacking model is implemented, where the first layer generates
 features using gradient boosting trees, and the second layer employs a
 logistic regression model that uses these features as inputs.  Utilities for
 training the base models and parameters tuning are provided, allowing users
 to experiment with different ensemble configurations easily.  It aims to
 provide a simple and efficient way to combine multiple gradient boosting
 models to improve predictive model performance and robustness.

Package: r-cran-stackimpute
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sandwich, r-cran-zoo, r-cran-mice, r-cran-dplyr, r-cran-mass, r-cran-magrittr, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stackimpute_0.1.0-1.ca2004.1_all.deb
Size: 2082200
MD5sum: a1e5070b3377a0fe46296e9b704818a0
SHA1: 3ddcce588a86f86fbbf9d31cdfbabad46c7aaf90
SHA256: 7f69559ba9e1b9cd43331ae858230a0b814dcc849436f6792577625b6bbef1bb
SHA512: 1a9237e484e2f2428a4bede91a07c2277e39689d82fcf64f9ad3d173e2981244de6e5836bfc502814147ec60bbff313a1f9791a4d88d1709e67fca3971783384
Homepage: https://cran.r-project.org/package=StackImpute
Description: CRAN Package 'StackImpute' (Tools for Analysis of Stacked Multiple Imputations)
 Provides methods for inference using stacked multiple imputations augmented
 with weights. The vignette provides example R code for implementation in
 general multiple imputation settings. For additional details about the
 estimation algorithm, we refer the reader to Beesley, Lauren J and Taylor,
 Jeremy M G (2020) “A stacked approach for chained equations multiple
 imputation incorporating the substantive model” <doi:10.1111/biom.13372>,
 and Beesley, Lauren J and Taylor, Jeremy M G (2021) “Accounting for
 not-at-random missingness through imputation stacking” <arXiv:2101.07954>.

Package: r-cran-stacking
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caret
Filename: pool/dists/focal/main/r-cran-stacking_0.2.1-1.ca2004.1_all.deb
Size: 56168
MD5sum: dfceed38c630dabfd067a0e39a82e62a
SHA1: 83f0d424d05c34976ce2455ef23209c97048cb5a
SHA256: 659465696d1d0bb7588a702350687c37a06a0343b3b4d759c70c3dde0b7468e5
SHA512: aa0eabaac071f11725569105abeb4ea03ebbfb02331d4d0a49645174d5798f43424d06089a8abea42cf6fdb29f8b71cbd4f54ffd7f8f924d0bb1073d92953024
Homepage: https://cran.r-project.org/package=stacking
Description: CRAN Package 'stacking' (Building Predictive Models with Stacking)
 Building predictive models with stacking which is a type of ensemble
 learning. Learners can be specified from those implemented in 'caret'. For
 more information of the package, see Nukui and Onogi (2023)
 <doi:10.1101/2023.06.06.543970>.

Package: r-cran-stackoverflow
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stackoverflow_0.7.0-1.ca2004.1_all.deb
Size: 122808
MD5sum: 4203c18f8eef1b7167fec5971e2cca87
SHA1: a5b4341d57e84c33713ff2b57249c5774f581040
SHA256: 4f8cb3a0b7a9a14803c3a989658da0866f7737c1a787732f687970d639d65649
SHA512: 175dfc1701375e47373fbc46f55a9f0a8638ddbbc2c18da53c1e16e8728d5c33979e9dd1b43ed0b2106ac2a8fff2a9f0c8a1d6fc6da86998a99be8c9172a9974
Homepage: https://cran.r-project.org/package=stackoverflow
Description: CRAN Package 'stackoverflow' (Stack Overflow's Greatest Hits)
 Helper functions collected from StackOverflow.com, a question and answer
 site for professional and enthusiast programmers.

Package: r-cran-stacks
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2006
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-butcher, r-cran-cli, r-cran-dplyr, r-cran-foreach, r-cran-furrr, r-cran-future, r-cran-generics, r-cran-ggplot2, r-cran-glmnet, r-cran-glue, r-cran-parsnip, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-vctrs, r-cran-workflows
Suggests: r-cran-covr, r-cran-h2o, r-cran-kernlab, r-cran-kknn, r-cran-knitr, r-cran-modeldata, r-cran-nnet, r-cran-ranger, r-cran-rmarkdown, r-cran-testthat, r-cran-workflowsets, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-stacks_1.1.1-1.ca2004.1_all.deb
Size: 1732988
MD5sum: cb6b7714e8ed9343b7dfec2436e6635c
SHA1: c6120ca49bf52cba69a95b140563c96c8c2c8e46
SHA256: 00ab751d8d5b5f0ebeb630559c3c68fb85b9f3ae4f52c1bd9c90e95e8d2502d3
SHA512: f18191d5e6f3e8d8f5fd09c77d6e36704f9d9c71bd45c4ccbc3e2f442bc96d20953fdee0c65205662f98df5c57b82c001dfe343cb057db4f42a3bc12f99886b9
Homepage: https://cran.r-project.org/package=stacks
Description: CRAN Package 'stacks' (Tidy Model Stacking)
 Model stacking is an ensemble technique that involves training a model to
 combine the outputs of many diverse statistical models, and has been shown
 to improve predictive performance in a variety of settings. 'stacks'
 implements a grammar for 'tidymodels'-aligned model stacking.

Package: r-cran-stacomir
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2424
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stacomirtools, r-cran-magrittr, r-cran-intervals, r-cran-rcolorbrewer, r-cran-stringr, r-cran-rpostgres, r-cran-ggplot2, r-cran-reshape2, r-cran-lattice, r-cran-hmisc, r-cran-lubridate, r-cran-dplyr, r-cran-xtable, r-cran-mgcv, r-cran-rlang, r-cran-pool, r-cran-dbi, r-cran-withr, r-cran-scales
Suggests: r-cran-testthat, r-cran-viridis, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stacomir_0.6.1-1.ca2004.1_all.deb
Size: 1747640
MD5sum: f56d073f5e9c32d9741932996f703f0a
SHA1: f46a552a9964aa0b1f83117a9e2e4bb490c306fc
SHA256: e0f26fadc5f05610c29802fc3e39794fb20e942a0bc26d431e3ae9f545138f6b
SHA512: 4fbe1bdd1a869f446d63c561bdda90208f2d3135936b8852340eba0725ce2aa4fd8617a77503a04173d5027e896cd479db7dba2534a6fdd5e9e5bb4a8875892a
Homepage: https://cran.r-project.org/package=stacomiR
Description: CRAN Package 'stacomiR' (Fish Migration Monitoring)
 Graphical outputs and treatment for a database of fish pass monitoring. It
 is a part of the 'STACOMI' open source project developed in France by the
 French Office for Biodiversity institute to centralize data obtained by fish
 pass monitoring. This version is available in French and English. See
 <http://stacomir.r-forge.r-project.org/> for more information on 'STACOMI'.

Package: r-cran-stacomirtools
Architecture: all
Version: 0.6.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rodbc, r-cran-dbi, r-cran-pool, r-cran-xtable, r-cran-rpostgres
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-stacomirtools_0.6.0.1-1.ca2004.1_all.deb
Size: 119924
MD5sum: 965e7728765fe667be06520b5a252492
SHA1: 00fe2c6c6aa1fe212b27451a10d9b0c7b01c8a91
SHA256: eeae5db23cde704328b1cfe5b0d9c9e4aaaecb28ab5a60de424924708fe0fc37
SHA512: b4bb7af1525d9a44d70e3f6f0f21e614cbada386a744f6172d2d537a637480e7786ad66f3c8484ce43f3fa68a029ac5831d6f6a863c7cfead06027086bae8ce6
Homepage: https://cran.r-project.org/package=stacomirtools
Description: CRAN Package 'stacomirtools' (Connection Class for Package stacomiR)
 S4 class wrappers for the 'ODBC' and Pool DBI connection, also provides some
 utilities to paste small datasets to clipboard, rename columns. It is used
 by the package 'stacomiR' for connections to the database. Development
 versions of 'stacomiR' are available in R-forge.

Package: r-cran-stagedtrees
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-rlang, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-bnlearn, r-cran-covr, r-cran-clue, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-stagedtrees_2.3.0-1.ca2004.1_all.deb
Size: 761524
MD5sum: 1e3ea349ffdd967b39f735db300626c2
SHA1: e7e002ace94fc28dd578f30da6b204becfc91f14
SHA256: 3235b954edc222facc6da4f66942c3be0a2971ddec8b2d99c37968ad147400ac
SHA512: 85865c441330e15a7e48f3e92817e592eee856fc05cef830d911494f25211a965ac06a18ef5c3f162d4ef3c7114b0d845e3f7231ab9383abbb2e5b5eb60eb133
Homepage: https://cran.r-project.org/package=stagedtrees
Description: CRAN Package 'stagedtrees' (Staged Event Trees)
 Creates and fits staged event tree probability models, which are
 probabilistic graphical models capable of representing asymmetric
 conditional independence statements for categorical variables.  Includes
 functions to create, plot and fit staged event trees from data, as well as
 many efficient structure learning algorithms.  References: Carli F, Leonelli
 M, Riccomagno E, Varando G (2022).  <doi: 10.18637/jss.v102.i06>.  Collazo
 R. A., Görgen C. and Smith J. Q.  (2018, ISBN:9781498729604).  Görgen C.,
 Bigatti A., Riccomagno E. and Smith J. Q. (2018) <arXiv:1705.09457>.
 Thwaites P. A., Smith, J. Q. (2017) <arXiv:1510.00186>.  Barclay L. M.,
 Hutton J. L. and Smith J. Q. (2013) <doi:10.1016/j.ijar.2013.05.006>.  Smith
 J. Q. and Anderson P. E. (2008) <doi:10.1016/j.artint.2007.05.004>.

Package: r-cran-stagepop
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 673
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-desolve, r-cran-pbsddesolve
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-stagepop_1.1-2-1.ca2004.1_all.deb
Size: 587504
MD5sum: bc399827303d85a1c3d42d371366c627
SHA1: cfd4bde99a7ebe4e2b99a0352b555c3140816834
SHA256: 76af2f65af8a577d61e1b05126e699eda4d0ae824b77ec4183b81e8492201692
SHA512: 758a9f894e2c936fff4d973f269c1b3687a4aab313b0c714e8b9bdd48c53b88a316ecec4bef40ff812126a5aa31f2d928d2040b6d5d780dbfaf42ee094661fac
Homepage: https://cran.r-project.org/package=stagePop
Description: CRAN Package 'stagePop' (Modelling the Population Dynamics of a Stage-Structured Speciesin Continuous Time)
 Provides facilities to implement and run population models of
 stage-structured species...

Package: r-cran-stakeholderanalysis
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stakeholderanalysis_1.2-1.ca2004.1_all.deb
Size: 93396
MD5sum: 2ce21eb21ab7d3fe3fb0398cff0ccc5b
SHA1: 5722e538b3de6d86079a037dec7dd1dc29eeb368
SHA256: 687262c7ad637ae81477ba45ab9dbe8c6cd764e5f2f50609b3d7495a49dea7fa
SHA512: 3e4eb770f155148960d10b3311853592029b1ddf4fa7392382f0722ae5c0dec8084daf36fc58183b451cc55947e57d438651d2d6da700a1fa5c32eb67ed6dd69
Homepage: https://cran.r-project.org/package=StakeholderAnalysis
Description: CRAN Package 'StakeholderAnalysis' (Measuring Stakeholder Influence)
 Proposes an original instrument for measuring stakeholder influence on the
 development of an infrastructure project that is carried through by a
 municipality, drawing on stakeholder classifications (Mitchell, Agle, &
 Wood, 1997) and input-output modelling (Hester & Adams, 2013). Mitchell R.,
 Agle B.R., & Wood D.J. <doi:10.2307/259247> Hester, P.T., & Adams, K.M.
 (2013) <doi:10.1016/j.procs.2013.09.282>.

Package: r-cran-stampp
Architecture: all
Version: 1.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pegas, r-cran-doparallel, r-cran-foreach, r-cran-adegenet
Filename: pool/dists/focal/main/r-cran-stampp_1.6.3-1.ca2004.1_all.deb
Size: 130560
MD5sum: 15de83fe24d07315ce0cb16d17090a0f
SHA1: 52362a468f4b8bd63972c2e0108068e693a151f2
SHA256: 9bf3ee322a0253b3ca91d755f132b1d9f50321c4ec8ffd48c42d66202d77c9d4
SHA512: 01938b848d93b0e69e34ab885e9e49a80219cab296c45810d1c8d1eff694213b1ea813b1d006aa714333d82aca934df4586366ebf757b7986c2a8dfcbbcc9872
Homepage: https://cran.r-project.org/package=StAMPP
Description: CRAN Package 'StAMPP' (Statistical Analysis of Mixed Ploidy Populations)
 Allows users to calculate pairwise Nei's Genetic Distances (Nei 1972),
 pairwise Fixation Indexes (Fst) (Weir & Cockerham 1984) and also Genomic
 Relationship matrixes following Yang et al. (2010) in mixed and single
 ploidy populations. Bootstrapping across loci is implemented during Fst
 calculation to generate confidence intervals and p-values around pairwise
 Fst values. StAMPP utilises SNP genotype data of any ploidy level (with the
 ability to handle missing data) and is coded to utilise multithreading where
 available to allow efficient analysis of large datasets. StAMPP is able to
 handle genotype data from genlight objects allowing integration with other
 packages such adegenet.  Please refer to LW Pembleton, NOI Cogan & JW
 Forster, 2013, Molecular Ecology Resources, 13(5), 946-952.
 <doi:10.1111/1755-0998.12129> for the appropriate citation and user manual.
 Thank you in advance.

Package: r-cran-stampr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-spdep, r-cran-dplyr, r-cran-rlang, r-cran-lwgeom, r-cran-geosphere
Filename: pool/dists/focal/main/r-cran-stampr_0.3.1-1.ca2004.1_all.deb
Size: 593716
MD5sum: 454a119583b1ef23f4412a991d60e725
SHA1: 50f5adcf72f887b8a2a6c57fc65e1656d60d1513
SHA256: 54bb59963cb92307080ab84564dd9acfd6d8dbdc1c874f39f58b6aa06d76b32a
SHA512: 91840a869e60bdfc55acf0091028757924ae9c457a015506298bd6e947f74fc30f6cafa911145837bbb781d5808fb0f8406e5f19fc9e82c166638037f868a2b2
Homepage: https://cran.r-project.org/package=stampr
Description: CRAN Package 'stampr' (Spatial Temporal Analysis of Moving Polygons)
 Perform spatial temporal analysis of moving polygons; a longstanding
 analysis problem in Geographic Information Systems. Facilitates directional
 analysis, distance analysis, and some other simple functionality for
 examining spatial-temporal patterns of moving polygons.

Package: r-cran-stand
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-stand_2.0-1.ca2004.1_all.deb
Size: 205344
MD5sum: aa40e7268f766f51a6bb8139e7935090
SHA1: 6a6dcda53e04f7afa9ae36bfe0cbe889f177ea6c
SHA256: 534d6fc69b8851492af77e66a2785650d98c8e28b61e1e93fcdf8e5af26fc61e
SHA512: 4bee039b510a914570b5d4cf5d22136f47a45d7b2c5b1056d76c1a48b9562efeeb60c36296081b59855e425196bfea53446056446a52da8255557a5a3053e38b
Homepage: https://cran.r-project.org/package=STAND
Description: CRAN Package 'STAND' (Statistical Analysis of Non-Detects)
 Provides functions for the analysis of occupational and environmental data
 with non-detects. Maximum likelihood (ML) methods for censored log-normal
 data and non-parametric methods based on the product limit estimate (PLE)
 for left censored data are used to calculate all of the statistics
 recommended by the American Industrial Hygiene Association (AIHA) for the
 complete data case. Functions for the analysis of complete samples using
 exact methods are also provided for the lognormal model. Revised from
 2007-11-05 'survfit~1'.

Package: r-cran-standardize
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 937
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4, r-cran-mass, r-cran-stringr
Suggests: r-cran-afex, r-cran-emmeans, r-cran-knitr, r-cran-lmertest, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-standardize_0.2.2-1.ca2004.1_all.deb
Size: 333556
MD5sum: 21fad743e63948e1e20bd0bc2fc21e6e
SHA1: 083942c81057bff1963dda3e9eb81a8718bef5b7
SHA256: 1f9cedbf9a3cfbf9b61a09eb2e5689a410b11b60fec3516e2e7b131b095ed22d
SHA512: 58e40f76374603a5c7b00cad7ee06e97e56151b8a0675e016cbe8f39e2dfd2839dadaa2261a9a2015eb13f8e17a7168f4a6cd4e1ab70f2c6a5f4b84460b7d4b4
Homepage: https://cran.r-project.org/package=standardize
Description: CRAN Package 'standardize' (Tools for Standardizing Variables for Regression in R)
 Tools which allow regression variables to be placed on similar scales,
 offering computational benefits as well as easing interpretation of
 regression output.

Package: r-cran-standardizetext
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-standardizetext_1.0-1.ca2004.1_all.deb
Size: 53852
MD5sum: f12c6fcca6a6377b8f291a38740524d3
SHA1: a92f8ddbd0cb8867f54d3fc2986fff29ca696f4f
SHA256: 2849665ec2dab82ac15a2d32a4890d5d638619a3bf8f37571e42c48a82a1b2b6
SHA512: 9fcb038957161943917e4c846dc3ba4f466cf191da3ebacc1651e135b4319d02304a454ad617746ebe2749bfb6bec4310eb120ef4403c913bfd13c7b397d2bec
Homepage: https://cran.r-project.org/package=StandardizeText
Description: CRAN Package 'StandardizeText' (Standardize Text)
 Standardizes text according to a template; particularly useful for country
 names.

Package: r-cran-standardlastprofile
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2043
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-standardlastprofile_1.0.0-1.ca2004.1_all.deb
Size: 1438656
MD5sum: 5cb55dc2a4b6e9cff43ac8d5d60b0812
SHA1: 31f6f53c57804f9cfc63b6598ccd6590cffe2264
SHA256: 23aef3c2c86db6ced5ff2a808118d0933de9c8ea6de358f4586232e2adb84281
SHA512: f5490b9e82314c52a9038ec8d1a471fe3143d02ee973dd1e15b1ff9f4c5f7ed859bcda912ae6c007d6c7f571ad7bdfc31dcddf614080a29c6cc16b6300671982
Homepage: https://cran.r-project.org/package=standardlastprofile
Description: CRAN Package 'standardlastprofile' (Data Package for BDEW Standard Load Profiles in Electricity)
 Data on standard load profiles from the German Association of Energy and
 Water Industries (BDEW Bundesverband der Energie- und Wasserwirtschaft e.V.)
 in a tidy format. The data and methodology are described in VDEW (1999),
 "Repräsentative VDEW-Lastprofile",
 <https://www.bdew.de/media/documents/1999_Repraesentative-VDEW-Lastprofile.pdf>.
 The package also offers an interface for generating a standard load profile
 over a user-defined period. For the algorithm, see VDEW (2000), "Anwendung
 der Repräsentativen VDEW-Lastprofile step-by-step",
 <https://www.bdew.de/media/documents/2000131_Anwendung-repraesentativen_Lastprofile-Step-by-step.pdf>.

Package: r-cran-standartox
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-fst, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-standartox_0.0.2-1.ca2004.1_all.deb
Size: 34096
MD5sum: 07cc4f731668e7eedb939cc3dc33d17e
SHA1: 3e651e93a762a231c1b2ffada84b163868a06b25
SHA256: 7a41c639479a68f2d4367e8f0df72aaf8f560cedcd047aec40596cc6ab3b7c9e
SHA512: 253b6bc00eea7a1ff710b15f3ea98461a0bdc81a4333cb5a66367058fc838f1873284a765ad129d5c09faa861e792c03231b1dc483debc2e2a4e9fbff6a005fe
Homepage: https://cran.r-project.org/package=standartox
Description: CRAN Package 'standartox' (Ecotoxicological Information from the Standartox Database)
 The <http://standartox.uni-landau.de> database offers cleaned, harmonized
 and aggregated ecotoxicological test data, which can be used for assessing
 effects and risks of chemical concentrations found in the environment.

Package: r-cran-standby
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 899
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-kableextra, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-standby_0.2.0-1.ca2004.1_all.deb
Size: 204680
MD5sum: 0452f1370125a860ee5a863b90df5418
SHA1: d96bcf3ce8fc05a282cb1cebf8dd632c42207cb7
SHA256: 682402f7fc01d581897fa2ae8af288859ed78ecc3f73d350b75e0d7282d6bb7b
SHA512: 6043bea1fb35130cb2a36e6bde9c04a9e6af2b038f796563f39f0fc3ec23a787efcbd8145d344f0a3776bead4f7f58f8d11d4805149768d3d9440292d9a0905c
Homepage: https://cran.r-project.org/package=standby
Description: CRAN Package 'standby' (Alerts, Notifications and Loading Screen in 'Shiny')
 Easily create alerts, notifications, modals, info tips and loading screens
 in 'Shiny'. Includes several options to customize alerts and notifications
 by including text, icons, images and buttons. When wrapped around a 'Shiny'
 output, loading screen is automatically displayed while the output is being
 recalculated.

Package: r-cran-stanza
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-nlp, r-cran-checkmate, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-stanza_1.0-3-1.ca2004.1_all.deb
Size: 54116
MD5sum: b0816d2dce8e7d6bb88a2eeabdca82c2
SHA1: 14160ee9b8d30425239dd26d95333095c03dab8c
SHA256: aaeee92b4643deea40be744f2bc8b65bad984d2c695eda02000ee8bb4c4c9eba
SHA512: a81ac5b315147275ea832c5e9b81aa7cab1d45a2b9f3ec2311f629b9fdd304096820b23bfe46b942fc85120ab51157ed069fcd76ab577fbb356dec8d892c37cc
Homepage: https://cran.r-project.org/package=stanza
Description: CRAN Package 'stanza' ('Stanza' - A 'R' NLP Package for Many Human Languages)
 An interface to the 'Python' package 'stanza'
 <https://stanfordnlp.github.io/stanza/index.html>.  'stanza' is a 'Python'
 'NLP' library for many human languages.  It contains support for running
 various accurate natural language processing tools on 60+ languages.

Package: r-cran-stapler
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrixstats, r-cran-rnifti
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-stapler_0.8.0-1.ca2004.1_all.deb
Size: 108976
MD5sum: 43fd1d8dc4f205db7ebfd2c954c114a8
SHA1: 3f5408fb9a86440c7fa928be34ebbd869af23db6
SHA256: e80e988ad2e66363c2ae3e2aa6f19b6bd52cb83f86ad00c12a7f3e735b421447
SHA512: 01f263dec56c1e0782b7f18721806c1b1b15c70d561831633d16a8046551c57f6c675cbd55129c5e0f7a5ba1a1fc6f8fc1219016f5372d83c94803135595435a
Homepage: https://cran.r-project.org/package=stapler
Description: CRAN Package 'stapler' (Simultaneous Truth and Performance Level Estimation)
 An implementation of Simultaneous Truth and Performance Level Estimation
 (STAPLE) <doi:10.1109/TMI.2004.828354>.  This method is used when there are
 multiple raters for an object, typically an image, and this method fuses
 these ratings into one rating.  It uses an expectation-maximization method
 to estimate this rating and the individual specificity/sensitivity for each
 rater.

Package: r-cran-staplr
Architecture: all
Version: 3.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4221
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-assertthat, r-cran-glue, r-cran-xml, r-cran-rjava, r-cran-fs, r-cran-purrr, r-cran-pdftools
Suggests: r-cran-lattice, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-staplr_3.2.2-1.ca2004.1_all.deb
Size: 3723024
MD5sum: 51fbdf63187f6fafa8c8fc809393c0cd
SHA1: 31753468d46c5d9b442f2aaee3734697b82450b7
SHA256: 32ed23a29ea8f6e52d4addd8c2e7799f224c870c125c4987f4d1643fbc210fbb
SHA512: 4ac0e449388a07811ece55212f432f550ca3e56fea44f5fe9c60bec774ef50ec4b9b04b05c880a50e50518c38aa1d8a36626aada24d9ce532a57331e183c6898
Homepage: https://cran.r-project.org/package=staplr
Description: CRAN Package 'staplr' (A Toolkit for PDF Files)
 Provides functions to manipulate PDF files: fill out PDF forms; merge
 multiple PDF files into one; remove selected pages from a file; rename
 multiple files in a directory; rotate entire pdf document; rotate selected
 pages of a pdf file; Select pages from a file; splits single input PDF
 document into individual pages; splits single input PDF document into parts
 from given points.

Package: r-cran-stardom
Architecture: all
Version: 1.1.28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4880
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-pracma, r-cran-zoo, r-cran-tibble, r-cran-multiway, r-cran-ggally, r-cran-doparallel, r-cran-drc, r-cran-foreach, r-cran-data.table, r-cran-matrixstats, r-cran-mba, r-cran-cdom, r-cran-r.matlab, r-cran-readr, r-cran-gtools, r-cran-viridislite
Suggests: r-cran-plotly, r-cran-xlsx, r-cran-knitr, r-cran-kableextra, r-cran-askpass, r-cran-httr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stardom_1.1.28-1.ca2004.1_all.deb
Size: 3213632
MD5sum: ed41a05c1a8200d46f2fb1272aea89e2
SHA1: 1f3ec88f0059d798b6c6a778c6630710e38c0d09
SHA256: bcfc76b7fdef4a9300fe386bfa7f581be0dd7308e0d7b639036bf4421e9cc845
SHA512: d860d82c791f462a66d8e0c9c687b350e4362156e1f16c60f13cb1fdc08083ddb1ae520750ad72824358780374716de5962c45d79704d3ad395f535ab752fc0f
Homepage: https://cran.r-project.org/package=staRdom
Description: CRAN Package 'staRdom' (PARAFAC Analysis of EEMs from DOM)
 This is a user-friendly way to run a parallel factor (PARAFAC) analysis
 (Harshman, 1971) <doi:10.1121/1.1977523> on excitation emission matrix (EEM)
 data from dissolved organic matter (DOM) samples (Murphy et al., 2013)
 <doi:10.1039/c3ay41160e>. The analysis includes profound methods for model
 validation. Some additional functions allow the calculation of absorbance
 slope parameters and create beautiful plots.

Package: r-cran-stargazer
Architecture: all
Version: 5.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 684
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stargazer_5.2.3-1.ca2004.1_all.deb
Size: 613068
MD5sum: 6684a368c73c9406ca1a3d28546a9237
SHA1: 10c7365883e9ff9245326c38f9068beb5d2ce850
SHA256: 73c25cfce0cc41343a1c0991fff63112020b8d92903f5e48e92ed40a3e822a70
SHA512: d009147eef6bbe87e50efe48e320d4163d0397a7e64964e6a9c26d11caa393c639e1ef02323b4db5d431dee6c126ba2eceff4ada9d3e8e41338345ff25ed6d0a
Homepage: https://cran.r-project.org/package=stargazer
Description: CRAN Package 'stargazer' (Well-Formatted Regression and Summary Statistics Tables)
 Produces LaTeX code, HTML/CSS code and ASCII text for well-formatted tables
 that hold regression analysis results from several models side-by-side, as
 well as summary statistics.

Package: r-cran-starm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-starm_0.1.0-1.ca2004.1_all.deb
Size: 208252
MD5sum: 3be0a75444f24d7b93ad7e464741bb9f
SHA1: 8b027148b6da7dcf76fb33811f151eb5a5864fca
SHA256: 1e9022aad872fb70c079d7873aebe973635e90508a79784bab4380609aa79ef6
SHA512: 76f02b60e1116717c4134c4cf576aa86d96323755141f3a9370fc222872340e7cc911ec5ac9699d857a6172ed4cfbb6824a25ec50ac2a54608bf122efa7b32a9
Homepage: https://cran.r-project.org/package=starm
Description: CRAN Package 'starm' (Spatio-Temporal Autologistic Regression Model)
 Estimates the coefficients of the two-time centered autologistic regression
 model based on Gegout-Petit A., Guerin-Dubrana L., Li S. "A new centered
 spatio-temporal autologistic regression model. Application to local spread
 of plant diseases." 2019. <arXiv:1811.06782>, using a grid of binary
 variables to estimate the spread of a disease on the grid over the years.

Package: r-cran-starnet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 815
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-cornet, r-cran-matrix
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-cvxr, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-starnet_1.0.0-1.ca2004.1_all.deb
Size: 279228
MD5sum: 75517f42b8c23819d686451235c5879c
SHA1: c2bff6ab284ae39c9811d5df9e5737cf17e100e4
SHA256: 0b9efa7550ad16125e1965a33ded2a0415d4a8e07ddd22e019b28bdfccd02a23
SHA512: 08dc36b784281ddf081f6a4b6d70511ea7fcd0b0d7908c140d596264fb604e4394111720f12033a5d8a5225e2effdd53907285e8d908b9700bdc718c2917d408
Homepage: https://cran.r-project.org/package=starnet
Description: CRAN Package 'starnet' (Stacked Elastic Net)
 Implements stacked elastic net regression (Rauschenberger 2021
 <doi:10.1093/bioinformatics/btaa535>). The elastic net generalises ridge and
 lasso regularisation (Zou 2005 <doi:10.1111/j.1467-9868.2005.00503.x>).
 Instead of fixing or tuning the mixing parameter alpha, we combine multiple
 alpha by stacked generalisation (Wolpert 1992
 <doi:10.1016/S0893-6080(05)80023-1>).

Package: r-cran-starry
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-bslib, r-cran-car, r-cran-corrr, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-starry_0.1.2-1.ca2004.1_all.deb
Size: 175924
MD5sum: 2484439c20c3d5bc478c128459e6a36b
SHA1: a27ab064243ceaf1415e0ab91a9ca8624e2200e7
SHA256: cb603aac34c68e9dbc6cc96c744390019009b314f1ff509d1b6b1ff405963609
SHA512: 223922ade4f01ea1610e4f0992c678f1d8306edb450c05f3b5360368c3fd9355d257d6c21df7580ad25a5554f8c0a71898262d5674d7646426cf3ab08bd7f72e
Homepage: https://cran.r-project.org/package=starry
Description: CRAN Package 'starry' (Explore Data with Plots and Tables)
 Provides modular functions and applications for quickly generating plots and
 tables. Each modular function opens a graphical user interface providing the
 user with options to create and customise plots and tables.

Package: r-cran-stars
Architecture: all
Version: 0.6-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6842
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-sf, r-cran-classint, r-cran-rlang, r-cran-units
Suggests: r-cran-cairo, r-cran-openstreetmap, r-cran-pcict, r-cran-rnetcdf, r-cran-clue, r-cran-covr, r-cran-cubble, r-cran-cubelyr, r-cran-digest, r-cran-dplyr, r-cran-exactextractr, r-cran-fnn, r-cran-future.apply, r-cran-ggforce, r-cran-ggplot2, r-cran-ggthemes, r-cran-gstat, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-lwgeom, r-cran-maps, r-cran-mapdata, r-cran-ncdfgeom, r-cran-ncmeta, r-cran-pbapply, r-cran-plm, r-cran-randomforest, r-cran-raster, r-cran-rmarkdown, r-cran-sp, r-cran-spacetime, r-cran-spatstat, r-cran-spatstat.geom, r-cran-terra, r-cran-testthat, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-viridis, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-stars_0.6-8-1.ca2004.1_all.deb
Size: 4295328
MD5sum: 6ce3b9270023e46c53bde1409e223eaa
SHA1: 37388c71075af8f57d33615d33fa0752750a2928
SHA256: cb12d811e04d7e839c473cd8780c0906663e3d52930256e7baab5e5a1b981aa2
SHA512: c33b9e306a120781a875ecaf9c2bfa15a1ece9725ab31b970b8fe2dcec6c237bb4d50ed92c4adb5e254536db05afbccd5119dc78522ca727636ed26ca0ceb19c
Homepage: https://cran.r-project.org/package=stars
Description: CRAN Package 'stars' (Spatiotemporal Arrays, Raster and Vector Data Cubes)
 Reading, manipulating, writing and plotting spatiotemporal arrays (raster
 and vector data cubes) in 'R', using 'GDAL' bindings provided by 'sf', and
 'NetCDF' bindings by 'ncmeta' and 'RNetCDF'.

Package: r-cran-starschemar
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1318
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-rlang, r-cran-snakecase, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-starschemar_1.2.5-1.ca2004.1_all.deb
Size: 870868
MD5sum: bf8b3f981c299d93047da13ed3124837
SHA1: e024457b25292d8756556316a05cec2c3932dbae
SHA256: 7fe2d0a5db24e96a0f7c69ab031e7da825a302171a94f1a7eaa7a845ce21971c
SHA512: 0317e98431a42c1cbfd2d654764664ce85bb6201db10fd7bcc7f5ec2946880bd858998c10312570b434d007b16279fa73aec67c002ebb9a92849ff5d93fe1a0d
Homepage: https://cran.r-project.org/package=starschemar
Description: CRAN Package 'starschemar' (Obtaining Stars from Flat Tables)
 Data in multidimensional systems is obtained from operational systems and is
 transformed to adapt it to the new structure.  Frequently, the operations to
 be performed aim to transform a flat table into a star schema.
 Transformations can be carried out using professional extract, transform and
 load tools or tools intended for data transformation for end users. With the
 tools mentioned, this transformation can be carried out, but it requires a
 lot of work. The main objective of this package is to define transformations
 that allow obtaining stars from flat tables easily. In addition, it includes
 basic data cleaning, dimension enrichment, incremental data refresh and
 query operations, adapted to this context.

Package: r-cran-starstileserver
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1264
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-leaflet, r-cran-plumber, r-cran-png, r-cran-rlang, r-cran-sf, r-cran-stars, r-cran-units, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet.extras, r-cran-webshot, r-cran-mapview, r-cran-callr, r-cran-magick, r-cran-shiny, r-cran-dplyr, r-cran-magrittr, r-cran-abind, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-starstileserver_0.1.1-1.ca2004.1_all.deb
Size: 1002260
MD5sum: 029898d1a66fb20451e00f54c90d2c59
SHA1: 91b8e9d0f4f6eb5c60d5987d3619184cf002b869
SHA256: 989016e4ae94acf8898ebc5599f569ef406e08e8ee5e597ba0e8b8aa817a861a
SHA512: 91193eebc92c42ce835cd74e260e8cfd6992a9166e4783df00b04df41b76ed1f22243dff879fba1137e03f2ebcae710fde3778a9b6eb705a2bc538928bea490d
Homepage: https://cran.r-project.org/package=starsTileServer
Description: CRAN Package 'starsTileServer' (A Dynamic Tile Server for R)
 Makes it possible to serve map tiles for web maps (e.g. leaflet) based on a
 function or a stars object without having to render them in advance. This
 enables parallelization of the rendering, separating the data source and
 visualization location and to provide web services.

Package: r-cran-starter
Architecture: all
Version: 0.1.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-cli, r-cran-gert, r-cran-glue, r-cran-r.utils, r-cran-renv, r-cran-rlang, r-cran-rprojroot, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-fs, r-cran-knitr, r-cran-pkgdown, r-cran-readr, r-cran-rmarkdown, r-cran-stringr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-starter_0.1.16-1.ca2004.1_all.deb
Size: 204284
MD5sum: cbd72b693a393fc2e0462d242081e70a
SHA1: 10e331ed03cff6baab9c88b83ec0cf0110ca21c8
SHA256: 015da50bc0ad9da0222d9daa3929526ff3b0d59db37280e982bb673b9ce70e56
SHA512: 4a53281ad4341fedb622692f6aa55c5aa7d545e6de18ecb1fff6f6e6dfa80364933328db8952b277834ae8d641941e53c6f5d1908ec25c6ee77ef7681968f843
Homepage: https://cran.r-project.org/package=starter
Description: CRAN Package 'starter' (Starter Kit for New Projects)
 Get started with new projects by dropping a skeleton of a new project into a
 new or existing directory, initialise git repositories, and create
 reproducible environments with the 'renv' package. The package allows for
 dynamically named files, folders, file content, as well as the functionality
 to drop individual template files into existing projects.

Package: r-cran-starticles
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rmarkdown, r-cran-bookdown, r-cran-knitr
Suggests: r-cran-rticles
Filename: pool/dists/focal/main/r-cran-starticles_0.1.0-1.ca2004.1_all.deb
Size: 33792
MD5sum: ebbf40ae5255d79fd13b66bcfa8aa9e2
SHA1: 9354411f4700a3d6c819c31d4f3551000cdc4b24
SHA256: 61a2755c6253eaa2fefbe8f738f4a1367746aa3ee83bbb9b1dbde74ceb8f0455
SHA512: f502763a3c1a920edd178a47ce2a80110b0df4e17bb05a61eb0f073e7c909085b219dae6d116dd0e77cdf69b14284de6053d2f028a1602d8c7c98ec5fd79a963
Homepage: https://cran.r-project.org/package=starticles
Description: CRAN Package 'starticles' (A Generic, Publisher-Independent Template for Writing ScientificDocuments in 'rmarkdown')
 Provides a generic, publisher-independent Rmarkdown template for writing
 scientific papers and reports in Rmarkdown. The template allows for all the
 basic features of a scientific article, including a title page with author
 affiliations and footnotes possibly shown in two common formats,
 multi-language abstracts and keywords, page headers and footers, and the
 ability to place figures and tables at the end of the output PDF. Smart
 cross-referencing of figures, tables, equations and sections is provided
 using the bookdown package. See package README.md for basic package usage.

Package: r-cran-startr
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2739
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-bigmemory, r-cran-future, r-cran-multiapply, r-cran-easyncdf, r-cran-s2dv, r-cran-climprojdiags, r-cran-pcict
Suggests: r-cran-testthat, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-startr_2.4.0-1.ca2004.1_all.deb
Size: 917160
MD5sum: 4625a09c6238d38f69c2b9cb7ff7a095
SHA1: 335dbde79cf3aeec1f75ccd58c763c2d4117f009
SHA256: c028982d30e868c8201ccbf8ce4882db17591bee43e35c1a763e9ee0391acd2d
SHA512: d014ee23046213c2a0ba11f284f7ed63c2a24640de7134de866fff4f45907cd3ea064cf4d91144322f0465986c969c914944d0572237868586e48d269e45cdc6
Homepage: https://cran.r-project.org/package=startR
Description: CRAN Package 'startR' (Automatically Retrieve Multidimensional Distributed Data Sets)
 Tool to automatically fetch, transform and arrange subsets of multi-
 dimensional data sets (collections of files) stored in local and/or remote
 file systems or servers, using multicore capabilities where possible.  The
 tool provides an interface to perceive a collection of data sets as a single
 large multidimensional data array, and enables the user to request for
 automatic retrieval, processing and arrangement of subsets of the large
 array. Wrapper functions to add support for custom file formats can be
 plugged in/out, making the tool suitable for any research field where large
 multidimensional data sets are involved.

Package: r-cran-startup
Architecture: all
Version: 0.23.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-commonmark
Filename: pool/dists/focal/main/r-cran-startup_0.23.0-1.ca2004.1_all.deb
Size: 219960
MD5sum: 76e84bf4c67b83c6253428ca78a7388b
SHA1: 7da6a573960056a65c57f324e6ed1f8caefc55cf
SHA256: 930950e8293bb562f986abfe20801221128c32e328efdc7ca1a092ba0d9dbf7a
SHA512: 051d881255338af67e0da89ec1caeecfc11b2e69b3579da2f040b17510994c76fa9bd1cbb02a085e2138ace1411083ba296a1f6181c508c2dae168830918ef1f
Homepage: https://cran.r-project.org/package=startup
Description: CRAN Package 'startup' (Friendly R Startup Configuration)
 Adds support for R startup configuration via '.Renviron.d' and '.Rprofile.d'
 directories in addition to '.Renviron' and '.Rprofile' files.  This makes it
 possible to keep private / secret environment variables separate from other
 environment variables.  It also makes it easier to share specific startup
 settings by simply copying a file to a directory.

Package: r-cran-startupmsg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-startupmsg_1.0.0-1.ca2004.1_all.deb
Size: 43920
MD5sum: a814261cf8fb47fd911550d91e20b7e8
SHA1: bdc30d5d721385532cc0fbb398d3ea76830d591e
SHA256: a30e0e056e738b35dea23c4c55f8f27fe6d7777b129998ca2af2f57b84d25459
SHA512: e6d1042643d25229e55f3c28072e0d08d1b06a7bccc0388d6095aabef8663404ea5e008628e5c1911ca83ba653e2fb6842fba5b6f366edce1f09408a76e1fa01
Homepage: https://cran.r-project.org/package=startupmsg
Description: CRAN Package 'startupmsg' (Utilities for Start-Up Messages)
 Provides utilities to create or suppress start-up messages.

Package: r-cran-starvars
Architecture: all
Version: 1.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-ks, r-cran-zoo, r-cran-dosnow, r-cran-foreach, r-cran-matrixcalc, r-cran-optimparallel, r-cran-vars, r-cran-xts, r-cran-lessr, r-cran-quantmod
Filename: pool/dists/focal/main/r-cran-starvars_1.1.10-1.ca2004.1_all.deb
Size: 374152
MD5sum: 89ee37d827ad99c3c3f66234456a7a2a
SHA1: 950bf6efb3289e1562eefd3c4d2f15c6632f1693
SHA256: d47ba5e52989f7a632490e636cad011679b6ab32fce02d9b3bf0a93204dc442d
SHA512: e538de766c0e07a4d02fa58e048ff939b85519bd8d12b2af7d0fcf677fa37509678505a751ffaf1095c683cf5308338b6f119048c6a5a685149af8a1a802861e
Homepage: https://cran.r-project.org/package=starvars
Description: CRAN Package 'starvars' (Vector Logistic Smooth Transition Models Estimation andPrediction)
 Allows the user to estimate a vector logistic smooth transition
 autoregressive model via maximum log-likelihood or nonlinear least squares.
 It further permits to test for linearity in the multivariate framework
 against a vector logistic smooth transition autoregressive model with a
 single transition variable. The estimation method is discussed in Terasvirta
 and Yang (2014, <doi:10.1108/S0731-9053(2013)0000031008>). Also, realized
 covariances can be constructed from stock market prices or returns, as
 explained in Andersen et al. (2001, <doi:10.1016/S0304-405X(01)00055-1>).

Package: r-cran-starwarsdb
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-magrittr, r-cran-tibble
Suggests: r-cran-dbplyr, r-cran-dm, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-starwarsdb_0.1.2-1.ca2004.1_all.deb
Size: 126064
MD5sum: 9271e6e8c3514d2c42b17f7643ecd7a7
SHA1: 2e410ad8f10cc242807ea78a1c7bef3f25834bd3
SHA256: 618c339976aec7cb76d0fbeb699ceb1804e5a662dd488328e2d264e67f65f748
SHA512: 2f2fe196fb26b044cb3238e4cb7a2ab400147f826c6d945c4a29a291b81acea75f1830a0fdb875e6693be6b4c489f5716f5f7481de09489ac54c871ed6e866c9
Homepage: https://cran.r-project.org/package=starwarsdb
Description: CRAN Package 'starwarsdb' (Relational Data from the 'Star Wars' API for Learning andTeaching)
 Provides data about the 'Star Wars' movie franchise in a set of relational
 tables or as a complete 'DuckDB' database. All data was collected from the
 open source 'Star Wars' API <https://swapi.dev/>.

Package: r-cran-stat.extend
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sets
Suggests: r-cran-extradistr, r-cran-invgamma, r-cran-matrixstats, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-stat.extend_0.2.1-1.ca2004.1_all.deb
Size: 219596
MD5sum: 2aee025a68c6da99bacd7b110eb02cfb
SHA1: 238faa44ebf690f22752fb8d69c18735093e9863
SHA256: 8a510b33c8800b6b428798179c014f3dea582c2afd79786b4d675950774c2518
SHA512: b906983c139f34ba0e6b41e3b76092485763639cb6e5a3e34a1443d973d6e32f9ae94038bfb258ed971c345c56062e2ecce14318a9c0bd33f3a45c53e0af5113
Homepage: https://cran.r-project.org/package=stat.extend
Description: CRAN Package 'stat.extend' (Highest Density Regions and Other Functions of Distributions)
 Highest Density Regions are the smallest set in the support of a probability
 distribution with the specified coverage probability. 'HDRs' may contain
 disjoint intervals, but can be calculated efficiently using iterative
 methods. One can similarly construct optimal (i.e., shortest) confidence
 intervals for some basic inferential problems, including for population
 means, variances, or proportion parameters.

Package: r-cran-stat2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-psycho, r-cran-dplyr, r-cran-corrgram, r-cran-hmisc, r-cran-rpivottable, r-cran-psych
Filename: pool/dists/focal/main/r-cran-stat2_0.1.0-1.ca2004.1_all.deb
Size: 68996
MD5sum: 9d468caab45a23dffce6d35cb983e2e4
SHA1: 33c7aacbe5259243fd081aa9928da179e4503da4
SHA256: d06f20fdd4c1e17d85dcf6ecb70315ab43db1115bd6f32c1434e439831b5545b
SHA512: f2fc342695c663f38f94f3aebeb6fc1d6bc3bf58159963bc4a9832c781873575839bf091bf798c9cd988775f05d3f7d16d2b333df2ae126cdcf598261c6cf01e
Homepage: https://cran.r-project.org/package=STAT2
Description: CRAN Package 'STAT2' (Interactive Document for Working with Basic Statistical Analysis)
 An interactive document on the topic of basic statistical analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.

Package: r-cran-stat2data
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1377
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stat2data_2.0.0-1.ca2004.1_all.deb
Size: 1153016
MD5sum: ae0646df3bac57573bf864f0c04a6e2e
SHA1: 09092882f14246b92a0da405c893cfe550b97b3b
SHA256: 8cc9d5726efbdf6c49d8c5428227884eb038b11490c76e734859942e62a2e1a9
SHA512: 18b87d792fc9a17a8aec1158819cbbe06a6076c965dbf70e13bd825c40fe0ea30e6c5c113f8361ef8830a3ef6cc987b676c35a3a7f29a297e0e7108df68149a5
Homepage: https://cran.r-project.org/package=Stat2Data
Description: CRAN Package 'Stat2Data' (Datasets for Stat2)
 Datasets for the textbook Stat2: Modeling with Regression and ANOVA (second
 edition).  The package also includes data for the first edition, Stat2:
 Building Models for a World of Data and a few functions for plotting
 diagnostics.

Package: r-cran-stat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-psycho, r-cran-dplyr, r-cran-corrgram, r-cran-hmisc, r-cran-rpivottable, r-cran-psych
Filename: pool/dists/focal/main/r-cran-stat_0.1.0-1.ca2004.1_all.deb
Size: 70488
MD5sum: 0ec2a233cde6636192cd437c67faf3f2
SHA1: 9ec395d09c969cc8aa538a59a335364555de6206
SHA256: 68e5448c468d904eece0e684d01d8e44aad4fe8f2e627e429f8fb25eec1c5bbd
SHA512: b202658163195269adad082dbf140cc622349be57696e11847dd093c99ef2edfe735cafb9563d9bcc6e18653d9f701cb51269f12afa8bc365269d7de665b071a
Homepage: https://cran.r-project.org/package=STAT
Description: CRAN Package 'STAT' (Interactive Document for Working with Basic Statistical Analysis)
 An interactive document on the topic of basic statistical analysis using
 'rmarkdown' and 'shiny' packages. Runtime examples are provided in the
 package function as well as at
 <https://jarvisatharva.shinyapps.io/StatisticsPrimer/>.

Package: r-cran-statamarkdown
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-xfun
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-statamarkdown_0.9.2-1.ca2004.1_all.deb
Size: 58468
MD5sum: f2ec5f0ef64f4154fc41879775e8a2b5
SHA1: 4532cb2a37af7910300202c7e5c8ba77c3af6aef
SHA256: ac4ea03de7f4ece769581c27a512129622dd194d599518ac27f7a07e64e78c29
SHA512: e9c9a86d30816d523131906ab9d9b6bcfe06dcc13ae3390ca7547b409f9cfbb635af25a6b8b4ae71dd65f2ef923cd0cf1eb2e0f41d50cab52ed278bebc6ca038
Homepage: https://cran.r-project.org/package=Statamarkdown
Description: CRAN Package 'Statamarkdown' ('Stata' Markdown)
 Settings and functions to extend the 'knitr' 'Stata' engine.

Package: r-cran-statar
Architecture: all
Version: 0.7.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-tidyselect, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval, r-cran-matrixstats, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statar_0.7.6-1.ca2004.1_all.deb
Size: 174196
MD5sum: 82f132cab8ebca2d05584b22383e837d
SHA1: 64e10a6f08b92c380389cda485d44479991620bb
SHA256: d59d1aab372af2c0aee894c2da1beeb2c597a928fc629b624161472cfe35223f
SHA512: 74e5aa6cd45d0348788430751d34e3c102a2c2c2dd49c4760e6fbd331d6acf662e56fc2631681e6ea8b62b1901ddeefac901ac2bda5cf4091852dcde12eb1030
Homepage: https://cran.r-project.org/package=statar
Description: CRAN Package 'statar' (Tools Inspired by 'Stata' to Manipulate Tabular Data)
 A set of tools inspired by 'Stata' to explore data.frames ('summarize',
 'tabulate', 'xtile', 'pctile', 'binscatter', elapsed quarters/month,
 lead/lag).

Package: r-cran-statbasics
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tibble, r-cran-stringr
Suggests: r-cran-testthat, r-cran-envstats, r-cran-bsda, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-statbasics_0.2.3-1.ca2004.1_all.deb
Size: 87676
MD5sum: 6257a699f8bfe32f409f26cd2e2c2b98
SHA1: ed8e7ae8f18b223865c24d32b171380af8640691
SHA256: 5aed1c3d176d511cddceca21e6f4f2f711c20155748ef1ab0ee40ccbaf396931
SHA512: 5ce5459edddec53d0e0897bbf22b709cbfc810d0c8341da08faed3e1a31fed5e22053926d8055a30f2cdbfd7f67e59f51c9c711744f20e99967bc42c33cd17dd
Homepage: https://cran.r-project.org/package=statBasics
Description: CRAN Package 'statBasics' (Basic Functions to Statistical Methods Course)
 Basic statistical methods with some modifications for the course Statistical
 Methods at Federal University of Bahia (Brazil). All methods in this
 packages are explained in the text book of Montgomery and Runger (2010)
 <ISBN: 978-1-119-74635-5>.

Package: r-cran-statcanr
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-qs, r-cran-qpdf, r-cran-dt, r-cran-curl, r-cran-httr, r-cran-readr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statcanr_0.2.6-1.ca2004.1_all.deb
Size: 118084
MD5sum: d829f4a1852c0f996d96cdac7d1a4691
SHA1: c1759504c81f077e3c64ff97ab85c771d4557071
SHA256: 9190f221dc4162e0011e1e4d72eee410dd4b7f4e62db3a3abf7d48a2127cf5e5
SHA512: cb2cc11fccf14ae58942ed8711573fec641c445785ec757ad521ae0947c013fd908d07acb8f83d53cf000d1cab6cead59c0841a6e7446771ab0ff0611e10c09e
Homepage: https://cran.r-project.org/package=statcanR
Description: CRAN Package 'statcanR' (Client for Statistics Canada's Open Economic Data)
 An easy connection with R to Statistics Canada's Web Data Service. Open
 economic data (formerly known as CANSIM tables, now identified by Product
 IDs (PID)) are accessible as a data frame, directly in the user's R
 environment.  Warin, Le Duc (2019) <doi:10.6084/m9.figshare.10544735>.

Package: r-cran-statcheck
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 513
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-rlang, r-cran-rmarkdown, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statcheck_1.5.0-1.ca2004.1_all.deb
Size: 356008
MD5sum: 53204d286ce5680a41af30da35471da6
SHA1: dd904ec93bc0eb7c7664b466b0a86f666a1c291d
SHA256: 92ff04dc2d3054ca8353ca70ed7edf028c3231b87ef8c8b0d3c4b6d48630e6ad
SHA512: ab5e6446b93ff2e2122a32991ed386d8d7ddd28c1d4496f5f220fd5b4a5c5f5a4894c598417dab7be12fd0afb9a0b11d19a08bb2af442db00caf6299a7a81c50
Homepage: https://cran.r-project.org/package=statcheck
Description: CRAN Package 'statcheck' (Extract Statistics from Articles and Recompute P-Values)
 A "spellchecker" for statistics. It checks whether your p-values match their
 accompanying test statistic and degrees of freedom. statcheck searches for
 null-hypothesis significance test (NHST) in APA style (e.g., t(28) = 2.2, p
 < .05). It recalculates the p-value using the reported test statistic and
 degrees of freedom. If the reported and computed p-values don't match,
 statcheck will flag the result as an error. If the reported p-value is
 statistically significant and the recomputed one is not, or vice versa, the
 result will be flagged as a decision error.  You can use statcheck directly
 on a string of text, but you can also scan a PDF or HTML file, or even a
 folder of PDF and/or HTML files.  Statcheck needs an external program to
 convert PDF to text: Xpdf. Instructions on where and how to download this
 program, how to install statcheck, and more details on what statcheck can
 and cannot do can be found in the online manual:
 <https://rpubs.com/michelenuijten/statcheckmanual>.  You can find a
 point-and-click web interface to scan PDF or HTML or DOCX articles on
 <http://statcheck.io>.

Package: r-cran-statcodelists
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-statcodelists_0.9.2-1.ca2004.1_all.deb
Size: 126036
MD5sum: ac25826a8db0b6b9ed565520dcf7ce47
SHA1: f64227b8299db897a8bf40c85aa1666782e3d098
SHA256: f9bbe8ff2d122312e4e449e488f02e8c70ee34f6d1f28f36d70cee09f1129661
SHA512: 2652536b6ab4f65e6341f2df135f9518a2cc2b3a1cf9418b6f0486330ceee47340448c89a872b84f63ca63acde0c5a257c1ce69a6a1427682d25e58427ff4053
Homepage: https://cran.r-project.org/package=statcodelists
Description: CRAN Package 'statcodelists' (Use Standardized Statistical Codelists)
 The goal of statcodelists is to promote the reuse and exchange of
 statistical information and related metadata with making the internationally
 standardized SDMX code lists available for the R user. SDMX has been
 published as an ISO International Standard (ISO 17369). The metadata
 definitions, including the codelists are updated regularly according to the
 standard. The authoritative version of the code lists made available in this
 package is <https://sdmx.org/?page_id=3215/>.

Package: r-cran-statconfr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-ggplot2, r-cran-rmisc
Filename: pool/dists/focal/main/r-cran-statconfr_0.2.0-1.ca2004.1_all.deb
Size: 343744
MD5sum: 34618795548a7ed9d2793beaaac1f0ca
SHA1: fd8bfe0b60bc0a0578a3cd112d69defdf55cdcd6
SHA256: 3ecb0ec00fc3a11eaf06b62ba7646118057807d52fe69bb2d10fcdde6d5dfeac
SHA512: a8817db1f19647aa604f7d912696328abd94cd60c5d921b128b1d5dbd47218432de91b8d4fc913a2096c549e59607275ae8740674fc47987a3cdcaac49f04022
Homepage: https://cran.r-project.org/package=statConfR
Description: CRAN Package 'statConfR' (Models of Decision Confidence and Measures of Metacognition)
 Provides fitting functions and other tools for decision confidence and
 metacognition researchers, including meta-d'/d', often considered to be the
 gold standard to measure metacognitive efficiency, and information-theoretic
 measures of metacognition.  Also allows to fit several static models of
 decision making and confidence.

Package: r-cran-statcuber
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr, r-cran-jsonlite, r-cran-pillar, r-cran-vctrs
Suggests: r-cran-magrittr, r-cran-spelling, r-cran-data.tree, r-cran-rappdirs, r-cran-xml2, r-cran-reactable, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-statcuber_1.0.0-1.ca2004.1_all.deb
Size: 467508
MD5sum: 55730b2cc35ba7b0899d39a31ebb2ae5
SHA1: 1e8c17945229cf47212271d16bd817957d6de7a2
SHA256: 6dc5ab3231133341be459a4f4772935148e6f0955733aba590aa692331b2afbe
SHA512: 6d9d7b927c46c668ad0d32e1575da6b9cc48b3bda2e13c1deab52fb68f3a53db9d3d4b70b82e32a3882c6a3516aadcd68ca21b3f5402df42002a920000d8803f
Homepage: https://cran.r-project.org/package=STATcubeR
Description: CRAN Package 'STATcubeR' (R Interface for the 'STATcube' REST API and Open Government Data)
 Import data from the 'STATcube' REST API or from the open data portal of
 Statistics Austria. This package includes a client for API requests as well
 as parsing utilities for data which originates from 'STATcube'.
 Documentation about 'STATcubeR' is provided by several vignettes included in
 the package as well as on the public 'pkgdown' page at
 <https://statistikat.github.io/STATcubeR/>.

Package: r-cran-statda
Architecture: all
Version: 1.7.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 908
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sgeostat, r-cran-cluster, r-cran-e1071, r-cran-mass, r-cran-mba, r-cran-mgcv, r-cran-rgl, r-cran-robustbase, r-cran-xtable, r-cran-sp, r-cran-geor
Suggests: r-cran-mclust
Filename: pool/dists/focal/main/r-cran-statda_1.7.11-1.ca2004.1_all.deb
Size: 853220
MD5sum: 56ca6410f231cff0a04042c47ea65f77
SHA1: 409042059a1d81d51f3625d211e04ddbca8b14ea
SHA256: bc89a6601f3d71df14c4d26e15b3c479af1c043569d6187b9c95ebd72d762deb
SHA512: 8cf15c901a1edb861804c673fd5a705925439fb3202118e0da0622ceeed6f5068aae85c1814423c8fc56489e6ffbfa3717d58505cd10a6f4934026ca5d2cfee6
Homepage: https://cran.r-project.org/package=StatDA
Description: CRAN Package 'StatDA' (Statistical Analysis for Environmental Data)
 Statistical analysis methods for environmental data are implemented. There
 is a particular focus on robust methods, and on methods for compositional
 data. In addition, larger data sets from geochemistry are provided. The
 statistical methods are described in Reimann, Filzmoser, Garrett, Dutter
 (2008, ISBN:978-0-470-98581-6).

Package: r-cran-statdataml
Architecture: all
Version: 1.0-27-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-statdataml_1.0-27-1.ca2004.1_all.deb
Size: 147936
MD5sum: 552a854b94ee4f7ebb03fdfe6b5b5334
SHA1: babbbd760836e90efcf685cba4c8e6ca98f62950
SHA256: e02066d244312d386b6b1ecee73b3e798acf16dbd4a943aa5710baeaa6caaa61
SHA512: b9e37f90eb153b35f78dbf4a3e1eef4526d8df354e420d44946e88d9c32376cf471093e458a092d2c30d0925baaa949b59a9638a3bb85353083353748fc0d616
Homepage: https://cran.r-project.org/package=StatDataML
Description: CRAN Package 'StatDataML' (Read and Write StatDataML Files)
 Support for reading and writing files in StatDataML---an XML-based data
 exchange format.

Package: r-cran-statdecider
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-agricolae, r-cran-effectsize, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-statdecider_0.1.6-1.ca2004.1_all.deb
Size: 32864
MD5sum: 1c2bafc5abbc2b922aa9d6b49456e99a
SHA1: 9af24b9f7f4ca7c6853fd8757fa703ed2e6ba5fc
SHA256: fb84d5c3e047b89ae3fcf69101c2ff27d580d8aabbceec4a62bd4a66df6d85b0
SHA512: 4b02cab9b7e5074b2116745b31f5821b3fe84b7c1201edb2960d20ff671229d455705b2f463b49427117b14a18c2352d38076f2ec0464972946cdf438657d3e6
Homepage: https://cran.r-project.org/package=statdecideR
Description: CRAN Package 'statdecideR' (Automated Statistical Analysis and Plotting with CLD)
 A lightweight tool that provides a reproducible workflow for selecting and
 executing appropriate statistical analysis in one-way or two-way
 experimental designs. The package automatically checks for data normality,
 conducts parametric (ANOVA) or non-parametric (Kruskal-Wallis) tests,
 performs post-hoc comparisons with Compact Letter Displays (CLD), and
 generates publication-ready boxplots, faceted plots, and heatmaps. It is
 designed for researchers seeking fast, automated statistical summaries and
 visualization. Based on established statistical methods including Shapiro
 and Wilk (1965) <doi:10.2307/2333709>, Kruskal and Wallis (1952)
 <doi:10.1080/01621459.1952.10483441>, Tukey (1949) <doi:10.2307/3001913>,
 Fisher (1925) <ISBN:0050021702>, and Wickham (2016)
 <ISBN:978-3-319-24277-4>.

Package: r-cran-statebins
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 986
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-viridis, r-cran-rcolorbrewer, r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-statebins_1.4.0-1.ca2004.1_all.deb
Size: 925500
MD5sum: 36ad4689a3d9fd50b8aad4c40c0cec19
SHA1: ac55d4d98c5bfb21d84b31c1bda5a5b8798d3278
SHA256: 1f0a1ec3b83cd064a04ff790176ad7f288ff3840cad0b9dc8ed2f1a5e9f36d34
SHA512: 91459b152e99441dc681468bc7e6fa12610eebed83bcd2891f4710e199a65281131b244a82a40292411a5b937ed026784cf9668732f82b792daa39a28e2983b9
Homepage: https://cran.r-project.org/package=statebins
Description: CRAN Package 'statebins' (Create United States Uniform Cartogram Heatmaps)
 The 'cartogram' heatmaps generated by the included methods are an
 alternative to choropleth maps for the United States and are based on work
 by the Washington Post graphics department in their report on "The states
 most threatened by trade"
 (<http://www.washingtonpost.com/wp-srv/special/business/states-most-threatened-by-trade/>).
 "State bins" preserve as much of the geographic placement of the states as
 possible but have the look and feel of a traditional heatmap. Functions are
 provided that allow for use of a binned, discrete scale, a continuous scale
 or manually specified colors depending on what is needed for the underlying
 data.

Package: r-cran-statelevelforest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-scales
Filename: pool/dists/focal/main/r-cran-statelevelforest_0.1.0-1.ca2004.1_all.deb
Size: 239336
MD5sum: d5004029176c83e120a8042f7880d682
SHA1: e31f323c0496bd07026b2623e5d4a6f2a3441089
SHA256: ed3a3c435d49249154c9cc60313df63616a9258519a52230d6d956f2b6f660d1
SHA512: 807bfac681bd5e0529bea309914276f2dd5cfc8d347ef0c43ae3f2a5cd0f9fe96b3b438ce87f6cb58256134ef588b73b88a537ed50540e23c91e3d52b8946b71
Homepage: https://cran.r-project.org/package=StateLevelForest
Description: CRAN Package 'StateLevelForest' (Historical State-Level Forest Cover Data in the United States)
 Provides a unique dataset of historical forest cover across all states in
 the United States, spanning from 1907 to 2017, along with 1630 as a
 reference year. This dataset is important for understanding environmental
 changes and land use trends over time. It includes functionality for easy
 access of the data.

Package: r-cran-states
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 531
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-pkgdown, r-cran-dt
Filename: pool/dists/focal/main/r-cran-states_0.3.2-1.ca2004.1_all.deb
Size: 232164
MD5sum: 487677caa99f87acabdf00cd7eaf3abf
SHA1: 6f0c903dc68f48a59001ff7bd7a070c5fcf4aa35
SHA256: 498832ae89166ecaa0415c2ae8019ebd5f2fcc1c0652718bf5587249a8c20e2d
SHA512: e924ccfee759622b404346dbc7bf24dd4a0c455366f673020b032e8472ca69c0688f3da71945931408d1a5a6b4c36b058473880420cef990a39eb5a0097d4cae
Homepage: https://cran.r-project.org/package=states
Description: CRAN Package 'states' (Create Panels of Independent States)
 Create panel data consisting of independent states from 1816 to the present.
 The package includes the Gleditsch & Ward (G&W) and Correlates of War (COW)
 lists of independent states, as well as helper functions for working with
 state panel data and standardizing other data sources to create
 country-year/month/etc. data.

Package: r-cran-statforbiology
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 395
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-drc, r-cran-ggplot2, r-cran-tidyr, r-cran-car, r-cran-nlme, r-cran-emmeans, r-cran-mass, r-cran-drcte, r-cran-multcomp, r-cran-multcompview
Filename: pool/dists/focal/main/r-cran-statforbiology_0.9.9-1.ca2004.1_all.deb
Size: 347584
MD5sum: 2dd06a5f9998226bf4b7861dada5b5b0
SHA1: 987d249ace6366a445c530ecd934051351627c3e
SHA256: 7600f275e4e68a3c455a06a9eb7b4002caa095384c58dc64fbd643abcbf19441
SHA512: e450661b3276ff7d46dcb2c3cfe22db974f3210f39fce044b5e43bc32e72edecbf1361cd7be2cd913c25db6a329241a90ef56fa7923e24998eaaa19dd21572df
Homepage: https://cran.r-project.org/package=statforbiology
Description: CRAN Package 'statforbiology' (Tools for Data Analyses in Biology)
 Contains several tools for nonlinear regression analyses and general data
 analysis in biology and agriculture. Contains also datasets for practicing
 and teaching purposes. Supports the blog: Onofri (2024) "Fixing the bridge
 between biologists and statisticians" <https://www.statforbiology.com> and
 the book: Onofri (2024) "Experimental Methods in Agriculture"
 <https://www.statforbiology.com/_statbookeng/>. The blog is a collection of
 short articles aimed at improving the efficiency of communication between
 biologists and statisticians, as pointed out in Kozak (2016)
 <doi:10.1590/0103-9016-2015-0399>, spreading a better awareness of the
 potential usefulness, beauty and limitations of biostatistic.

Package: r-cran-statgengxe
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1548
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-emmeans, r-cran-ggplot2, r-cran-gridextra, r-cran-knitr, r-cran-lme4, r-cran-rlang, r-cran-statgensta, r-cran-xtable
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statgengxe_1.0.10-1.ca2004.1_all.deb
Size: 1249072
MD5sum: c53a46370334e0f23d281886609cb63f
SHA1: 268b05ec6da1efc88ce70dc91c9da0b597d77342
SHA256: b957263f91b047e1af0874a8d9076c349dfab9a574994d6d91ee6497bcb21e24
SHA512: be5f6a130db8d8b49dcc6267ddd6e52ed5a71b243c728f79e941c9b375aeb30b0915b29da0ad5a2b08f97f7a10951ca0208dffbe4bfa6b911a4637e887054863
Homepage: https://cran.r-project.org/package=statgenGxE
Description: CRAN Package 'statgenGxE' (Genotype by Environment (GxE) Analysis)
 Analysis of multi environment data of plant breeding experiments following
 the analyses described in Malosetti, Ribaut, and van Eeuwijk (2013),
 <doi:10.3389/fphys.2013.00044>.  One of a series of statistical genetic
 packages for streamlining the analysis of typical plant breeding experiments
 developed by Biometris.  Some functions have been created to be used in
 conjunction with the R package 'asreml' for the 'ASReml' software, which can
 be obtained upon purchase from 'VSN' international
 (<https://vsni.co.uk/software/asreml-r/>).

Package: r-cran-statgenhtp
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4940
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-animation, r-cran-factoextra, r-cran-ggforce, r-cran-ggplot2, r-cran-ggnewscale, r-cran-gridextra, r-cran-matrix, r-cran-lmmsolver, r-cran-locfit, r-cran-lubridate, r-cran-rlang, r-cran-reshape2, r-cran-scales, r-cran-spam, r-cran-spats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-statgenhtp_1.0.8-1.ca2004.1_all.deb
Size: 4350780
MD5sum: 6ef6cab093dcfffd62659a5b7542ac11
SHA1: 6ce6769191de4558a13488e1ba66935f9c6bef26
SHA256: 35d88bcf0fb34f62249f974fca0cd146698fa04d918e531b510b37a4042a2452
SHA512: 3013b2e2caf8d2b866ad673b9f9f1515b580bde05c800675377c2fde99f7e551e60caab8c43f7be64fb9ac406800fb5b875335d5370b218cbf4c08ca285bb307
Homepage: https://cran.r-project.org/package=statgenHTP
Description: CRAN Package 'statgenHTP' (High Throughput Phenotyping (HTP) Data Analysis)
 Phenotypic analysis of data coming from high throughput phenotyping (HTP)
 platforms, including different types of outlier detection, spatial analysis,
 and parameter estimation. The package is being developed within the EPPN2020
 project (<https://eppn2020.plant-phenotyping.eu/>).  Some functions have
 been created to be used in conjunction with the R package 'asreml' for the
 'ASReml' software, which can be obtained upon purchase from 'VSN'
 international (<https://vsni.co.uk/software/asreml-r/>).

Package: r-cran-statgenmpp
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statgengwas, r-cran-data.table, r-cran-foreach, r-cran-ggplot2, r-cran-gridextra, r-cran-lmmsolver, r-cran-rlang, r-cran-scales, r-cran-spam, r-cran-statgenibd
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-statgenmpp_1.0.4-1.ca2004.1_all.deb
Size: 2957068
MD5sum: ddc5d38fa114b307caa53c51010692c2
SHA1: 5616b500acab84331a0738d0ff2e27864f42c173
SHA256: f14b6b9322e6515c475c98ffe5af19411d7b29913d31f89c9667208b31a3a071
SHA512: afafcfdece2540ec96b191ea57e4b4f5641aa92bfab499573336484bb0276998a5c5ff7f00d3984c482e9abe8135deac3d875c0dedd1b66bc535427e2c6edb33
Homepage: https://cran.r-project.org/package=statgenMPP
Description: CRAN Package 'statgenMPP' (QTL Mapping for Multi Parent Populations)
 For Multi Parent Populations (MPP) Identity By Descend (IBD) probabilities
 are computed using Hidden Markov Models. These probabilities are then used
 in a mixed model approach for QTL Mapping as described in Li et al.
 (<doi:10.1007/s00122-021-03919-7>).

Package: r-cran-statgensta
Architecture: all
Version: 1.0.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1181
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-emmeans, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridextra, r-cran-knitr, r-cran-lme4, r-cran-mapproj, r-cran-maps, r-cran-qtl, r-cran-rlang, r-cran-scales, r-cran-spats, r-cran-xtable
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-statgensta_1.0.15-1.ca2004.1_all.deb
Size: 919456
MD5sum: 8a66265e5138f16c68a621509ded5e46
SHA1: f1a1892899e886b27b8490050f4033bf6b774897
SHA256: 97238fb676f006545ec6e6e911e6f0db3a1598cb1ddc976d857409e95e872bf4
SHA512: 89c0a6e24036fe408d9e596bbbb556f92ce2bef328decba44fa945af4f9dc05ad754dcb1cc04435b6b79708ab691526d72af6a60a4bf7e3138349872ea4c45e1
Homepage: https://cran.r-project.org/package=statgenSTA
Description: CRAN Package 'statgenSTA' (Single Trial Analysis (STA) of Field Trials)
 Phenotypic analysis of field trials using mixed models with and without
 spatial components. One of a series of statistical genetic packages for
 streamlining the analysis of typical plant breeding experiments developed by
 Biometris.  Some functions have been created to be used in conjunction with
 the R package 'asreml' for the 'ASReml' software, which can be obtained upon
 purchase from 'VSN' international (<https://vsni.co.uk/software/asreml-r/>).

Package: r-cran-statgraph
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-mass, r-cran-rarpack, r-cran-cluster, r-cran-foreach, r-cran-doparallel, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-statgraph_1.0.6-1.ca2004.1_all.deb
Size: 139024
MD5sum: 212d0fff825840ee91169f8df8b75259
SHA1: 11c8dee67ffc5c60dd7dadf298a9f26c8c598e72
SHA256: 44b31ea6f019ab45189af091b2b2c8a52efeb73809a941ea1085683d55dde4e8
SHA512: 5079a15d9ee5734345739bc9e9dc02aa7a5374177735230ea824c355c5478b937e96a38ef449480ef09689439ac0dc7e81313db9db29c405b814e09fe32ea400
Homepage: https://cran.r-project.org/package=statGraph
Description: CRAN Package 'statGraph' (Statistical Methods for Graphs)
 Contains statistical methods to analyze graphs, such as graph parameter
 estimation, model selection based on the Graph Information Criterion,
 statistical tests to discriminate two or more populations of graphs,
 correlation between graphs, and clustering of graphs.  References: Takahashi
 et al. (2012) <doi:10.1371/journal.pone.0049949>, Fujita et al. (2017)
 <doi:10.3389/fnins.2017.00066>, Fujita et al. (2017)
 <doi:10.1016/j.csda.2016.11.016>, Fujita et al. (2019)
 <doi:10.1093/comnet/cnz028>.

Package: r-cran-staticryptr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-staticryptr_0.1.0-1.ca2004.1_all.deb
Size: 41696
MD5sum: e797934fb78617074c5b876bf6d48581
SHA1: 589ed998d6eedd0183142a87e22d08a8cbaf3d85
SHA256: 17cbc3d10a25f5da33440f6c01450d441341ac72bb3eea76dcd334f88dd1d7cf
SHA512: 1016e30ee17935fc8af91778ab6d502b4b424a97a19b3a92b51878b6c5f4892d88ba8d46dc07d9e23d47ba9a0fa30a6e3ee694182a3923ec69b19290de809807
Homepage: https://cran.r-project.org/package=staticryptR
Description: CRAN Package 'staticryptR' (Encrypt HTML Files Using 'staticrypt')
 Provides a convenient interface to the 'staticrypt' by Robin Moisson
 <https://github.com/robinmoisson/staticrypt>---'Node.js' package for adding
 a password protection layer to static HTML pages. This package can be
 integrated into the post-render process of 'quarto' documents to secure them
 with a password.

Package: r-cran-stationary
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-readr, r-cran-downloader, r-cran-lubridate, r-cran-lutz, r-cran-progress, r-cran-stringr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stationary_0.5.1-1.ca2004.1_all.deb
Size: 1618564
MD5sum: 534e686b68b79226a1a7ea233db90c0b
SHA1: e08e4720e2dcce6bce03f63bd88e5011e281700e
SHA256: 1cf64a5fc8225ed953620481e2e53e54f7524ef994ba5a519db8fbb164da46e4
SHA512: 1e0df8a563d9810e3bc3d3016ca8e0dbac9de6f1b7a3573e9d8ef39e4b4e0924a68e71ba2eb594f2899d199edb7ae0c08fc7191f71b249559f3d67b57988ca4e
Homepage: https://cran.r-project.org/package=stationaRy
Description: CRAN Package 'stationaRy' (Detailed Meteorological Data from Stations All Over the World)
 Acquire hourly meteorological data from stations located all over the world.
 There is a wealth of data available, with historic weather data accessible
 from nearly 30,000 stations. The available data is automatically downloaded
 from a data repository and processed into a 'tibble' for the exact range of
 years requested. A relative humidity approximation is provided using the
 'August-Roche-Magnus' formula, which was adapted from Alduchov and Eskridge
 (1996) <doi:10.1175%2F1520-0450%281996%29035%3C0601%3AIMFAOS%3E2.0.CO%3B2>.

Package: r-cran-stationery
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3566
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kutils, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-rockchalk, r-cran-xtable, r-cran-lavaan, r-cran-psych, r-cran-pander
Filename: pool/dists/focal/main/r-cran-stationery_1.1-1.ca2004.1_all.deb
Size: 1667012
MD5sum: f4ca98f5a2ee59b72faaeab773767315
SHA1: 229eae995649479e261274e1c99558ae71912865
SHA256: 03b8be280810ec2d86c6f32452dc37bddc6ba33ff6f1c80923bcf3753243eaac
SHA512: 9310b790694c89368a0fb9f007a50b49f3feb3d9c66faada6e855601d3ebe250261e7071e0166343bdedb31704e83d2082396946b4a495fc35d53ede21657f89
Homepage: https://cran.r-project.org/package=stationery
Description: CRAN Package 'stationery' (Working Examples for Reproducible Research Documents)
 Templates, guides, and scripts for writing documents in 'LaTeX' and 'R
 markdown' to produce guides, slides, and reports. Special care is taken to
 illustrate use of templates and customization opportunities.  Challenges and
 opportunities of 'HTML' output from 'R markdown' receive special attention.
 Includes several vignettes to assist new users of literate programming.

Package: r-cran-statisfactory
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-omnibus
Filename: pool/dists/focal/main/r-cran-statisfactory_1.0.4-1.ca2004.1_all.deb
Size: 118172
MD5sum: d393fa9f47de6ea2d07274c87b4d4ba6
SHA1: a316e2ea77017dbcc18d5b1e06671d7018a6bbfb
SHA256: cf3c6ddf2600e15fcc3762544d01d96e024200e1ee90a91d25e40bd4fa4573c6
SHA512: a89f75ce0b7df099c2f80ab09b72449408c62c3e833ad23b3b71a7c175ea7da7814cc2492fcc9150d488a382fb7658166317abe52f6535303e77e4e497736a94
Homepage: https://cran.r-project.org/package=statisfactory
Description: CRAN Package 'statisfactory' (Statistical and Geometrical Tools)
 A collection of statistical and geometrical tools including the aligned rank
 transform (ART; Higgins et al.  1990 <doi:10.4148/2475-7772.1443>; Peterson
 2002 <doi:10.22237/jmasm/1020255240>; Wobbrock et al. 2011
 <doi:10.1145/1978942.1978963>), 2-D histograms and histograms with
 overlapping bins, a function for making all possible formulae within a set
 of constraints, amongst others.

Package: r-cran-statlingua
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-car, r-cran-ellmer, r-cran-islr2, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-mass, r-cran-mgcv, r-cran-nlme, r-cran-r6, r-cran-rmarkdown, r-cran-survival, r-cran-tibble, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-statlingua_0.1.0-1.ca2004.1_all.deb
Size: 126036
MD5sum: 90f31ad3ccb2595207292e3d30fff29c
SHA1: b7b8d623ad8b644e9be4d39f247dba9ebf8a1ee6
SHA256: 79b082cef7d0eba314c3fb489c7542e111c5d2c603abc6e82fb1a7fbb5ef027f
SHA512: 59c1a7da3df5e9f31229dca667e4bcb5273a222a0f91eb80f1beec291ee6be85805f2d2de70e354729c11d68cc98a23ab5442750c3cbd75f838b9ef466f00968
Homepage: https://cran.r-project.org/package=statlingua
Description: CRAN Package 'statlingua' (Explain Statistical Output with Large Language Models)
 Transform complex statistical output into straightforward, understandable,
 and context-aware natural language descriptions using Large Language Models
 (LLMs), making complex analyses more accessible to individuals with varying
 statistical expertise. It relies on the 'ellmer' package to interface with
 LLM providers including OpenAI <https://openai.com/>, Google AI Studio
 <https://aistudio.google.com/>, and Anthropic <https://www.anthropic.com/>
 (API keys are required and managed via 'ellmer').

Package: r-cran-statmatch
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 623
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-proxy, r-cran-survey, r-cran-lpsolve, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-hmisc, r-cran-mass, r-cran-mipfp, r-cran-clue, r-cran-rann, r-cran-randomforest, r-cran-nnet, r-cran-glmnet, r-cran-naivebayes
Filename: pool/dists/focal/main/r-cran-statmatch_1.4.3-1.ca2004.1_all.deb
Size: 589532
MD5sum: be7706150b96a8b9e17c910328c2d673
SHA1: b7bbf6d9bdae9d706725e50d3d8ce2008a2cb18a
SHA256: aafb78e6b12878c91adf2def7b6159dbaa2a4f182fdaf15505b9682cdb70d494
SHA512: 24e58a82b841f65703fe3cb7923f78e0b0003f16b8e26f59abc8bc63332924fc0584a5777ffb89ed588bc3c43f169a6f6468a14a97804f473235f397ba9df888
Homepage: https://cran.r-project.org/package=StatMatch
Description: CRAN Package 'StatMatch' (Statistical Matching or Data Fusion)
 Integration of two data sources referred to the same target population which
 share a number of variables. Some functions can also be used to impute
 missing values in data sets through hot deck imputation methods. Methods to
 perform statistical matching when dealing with data from complex sample
 surveys are available too.

Package: r-cran-statmeasures
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-statmeasures_1.0-1.ca2004.1_all.deb
Size: 88352
MD5sum: c8e0b38351225a5c4314a81e06c26029
SHA1: fec7a854713432e219d579c452de6615b65385f3
SHA256: 3c0e2bcfc3ab191537c5968dbd142e1ba91efb82cf8305e29b587ec55f0897fa
SHA512: 772c6e2d68cefe0f577104ae0889aede2117e3d83b0aebe080bfb7c3afb1aa3a603fd4a216a31ac707a8a103cbf41ef8aada56b9543c3c010b3a9fb09a3ee932
Homepage: https://cran.r-project.org/package=StatMeasures
Description: CRAN Package 'StatMeasures' (Easy Data Manipulation, Data Quality and Statistical Checks)
 Offers useful functions to perform day-to-day data manipulation operations,
 data quality checks and post modelling statistical checks.  One can
 effortlessly change class of a number of variables to factor, remove
 duplicate observations from the data, create deciles of a variable, perform
 data quality checks for continuous (integer or numeric), categorical
 (factor) and date variables, and compute goodness of fit measures such as
 auc for statistical models. The functions are consistent for objects of
 class 'data.frame' and 'data.table', which is an enhanced 'data.frame'
 implemented in the package 'data.table'.

Package: r-cran-statnet
Architecture: all
Version: 2019.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tergm, r-cran-ergm.count, r-cran-sna, r-cran-tsna, r-cran-ergm, r-cran-network, r-cran-networkdynamic, r-cran-statnet.common
Suggests: r-cran-ergm.rank, r-cran-ergm.ego, r-cran-epimodel, r-cran-degreenet, r-cran-latentnet, r-cran-networksis, r-cran-relevent, r-cran-ndtv
Filename: pool/dists/focal/main/r-cran-statnet_2019.6-1.ca2004.1_all.deb
Size: 26048
MD5sum: 302a089e1acba6f48ddbd4f22bce5602
SHA1: ef64e08feee691f03dabb4592397464fa498dc09
SHA256: eca286da9b44ac655428eafa52611be95e99a35dfb809784f80ef8fdbbffa4be
SHA512: c1ff5bcfa40848e7048e2e2995a20f9adcd2ba99eb493a88554884a79ba70452b494af09dac76b4d543d829d8626924d55a848920b35b259b21fd736220852c3
Homepage: https://cran.r-project.org/package=statnet
Description: CRAN Package 'statnet' (Software Tools for the Statistical Analysis of Network Data)
 Statnet is a collection of packages for statistical network analysis that
 are designed to work together because they share common data representations
 and 'API' design.  They provide an integrated set of tools for the
 representation, visualization, analysis, and simulation of many different
 forms of network data.  This package is designed to make it easy to install
 and load the key 'statnet' packages in a single step.  Learn more about
 'statnet' at <http://www.statnet.org>.  Tutorials for many packages can be
 found at <https://github.com/statnet/Workshops/wiki>.  For an introduction
 to functions in this package, type help(package='statnet').

Package: r-cran-statnetweb
Architecture: all
Version: 0.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-ergm, r-cran-network, r-cran-lattice, r-cran-latticeextra, r-cran-sna, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-statnetweb_0.5.8-1.ca2004.1_all.deb
Size: 397120
MD5sum: 907af7fa00260da4fe57057c31e08557
SHA1: 23d63cec05d6edc3e6494cd732805a7cafd00785
SHA256: 833489e1d1ac980665bc8a6aae60c1b74209bdd18dfd3b20bd985c62c55f27b8
SHA512: 563524b2fda361252991ef66040e3dce6bec75c9009e55a07109e478e5ca39f572945a689087be16c2009cb4f78653cfbb9c3329c329abebfb835264f6ca475f
Homepage: https://cran.r-project.org/package=statnetWeb
Description: CRAN Package 'statnetWeb' (A Shiny App for Network Modeling with 'statnet')
 A graphical user interface for cross-sectional network modeling with the
 'statnet' software suite <https://github.com/statnet>.

Package: r-cran-statnipokladna
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-knitr, r-cran-markdown, r-cran-ragg, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-statnipokladna_0.7.4-1.ca2004.1_all.deb
Size: 244776
MD5sum: a5c6aef0eade53fd82297cb8b096221c
SHA1: 864582a3090eea05cfe3d8eb40d60a61733bab76
SHA256: 134521cff23ff5176d91548683d912bf017f016b9822917110a9e70757c918b3
SHA512: 3aad7335a385fc103a3a15e7e5d263c7d73c3f0779a6820ae2ff70df396e4cf876149883e73689fa08269f916192693dafe91de17d85a1c22b1a12eb9d6ea55f
Homepage: https://cran.r-project.org/package=statnipokladna
Description: CRAN Package 'statnipokladna' (Use Data from the Czech Public Finance Database)
 Get programmatic access to data from the Czech public budgeting and
 accounting database, Státní pokladna <https://monitor.statnipokladna.cz/>.

Package: r-cran-statpermeco
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-statpermeco_0.1.0-1.ca2004.1_all.deb
Size: 37448
MD5sum: d61a55235080ba9999e5ad3934995b8d
SHA1: a4e633f5d8fdf7857c9510d26b2a3f29305724bf
SHA256: b19fe35ebaf8cda805dce77ecabdcb8a66d0aea0b602fdb9353b6c4960b1c5f0
SHA512: c4963195efbd17879dcbd7762d489258812a829fc47774f1e1649b825a993c7445039633117b881be2e7782b6e2f3fe8b790fd9f097c1d7a422a12340d01eb55
Homepage: https://cran.r-project.org/package=StatPerMeCo
Description: CRAN Package 'StatPerMeCo' (Statistical Performance Measures to Evaluate Covariance MatrixEstimates)
 Statistical performance measures used in the econometric literature to
 evaluate conditional covariance/correlation matrix estimates (MSE, MAE,
 Euclidean distance, Frobenius distance, Stein distance, asymmetric loss
 function, eigenvalue loss function and the loss function defined in Eq.
 (4.6) of Engle et al. (2016) <doi:10.2139/ssrn.2814555>). Additionally,
 compute Eq. (3.1) and (4.2) of Li et al. (2016)
 <doi:10.1080/07350015.2015.1092975> to compare the factor loading matrix.
 The statistical performance measures implemented have been previously used
 in, for instance, Laurent et al. (2012) <doi:10.1002/jae.1248>, Amendola et
 al. (2015) <doi:10.1002/for.2322> and Becker et al. (2015)
 <doi:10.1016/j.ijforecast.2013.11.007>.

Package: r-cran-statprograms
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-statprograms_0.3.0-1.ca2004.1_all.deb
Size: 75208
MD5sum: 85a4d70d277a6beafff7ebd57f3a644a
SHA1: be8ed7e43378153d20f5ed3d8171773f38b8054c
SHA256: 36dbae92d2b7d9552c63bf67294c76a01f52fcf6ad3e08690d13427c2132b081
SHA512: 6649e4bf83f4852d1f9f7fbd06c90fe76dad9cfa1a28639ec9c34def5dfafd0fde5c865f1a71adbe346eb18e6f78f4f58e8545641a09aaaac2f881b60e697805
Homepage: https://cran.r-project.org/package=statprograms
Description: CRAN Package 'statprograms' (Graduate Statistics Program Datasets)
 A small collection of data on graduate statistics programs from the United
 States.

Package: r-cran-statpsych
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1130
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mnonr, r-cran-rdpack, r-cran-mathjaxr
Suggests: r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statpsych_1.8.0-1.ca2004.1_all.deb
Size: 1010344
MD5sum: 8b64272ed7038318daa7e1ddd1a0770a
SHA1: 76c08d117fe7a0cc4e6930203f1f5d4a48361ffc
SHA256: 829940adb3ffe9382165e2e187b2256e3e602400f09424425e599d0b80aec2f5
SHA512: ae9f263393cfa501aab3e933fa0175638c7e358ab2a008f7e3eb1162f010c57f2b59c2dcafc4d4271829120cb7bf894a83054f52333968646dc46f543b3e9bc9
Homepage: https://cran.r-project.org/package=statpsych
Description: CRAN Package 'statpsych' (Statistical Methods for Psychologists)
 Implements confidence interval and sample size methods that are especially
 useful in psychological research. The methods can be applied in 1-group,
 2-group, paired-samples, and multiple-group designs and to a variety of
 parameters including means, medians, proportions, slopes, standardized mean
 differences, standardized linear contrasts of means, plus several measures
 of correlation and association.  Confidence interval and sample size
 functions are given for single parameters as well as differences, ratios,
 and linear contrasts of parameters. The sample size functions can be used to
 approximate the sample size needed to estimate a parameter or function of
 parameters with desired confidence interval precision or to perform a
 variety of hypothesis tests (directional two-sided, equivalence,
 superiority, noninferiority) with desired power. For details see:
 Statistical Methods for Psychologists, Volumes 1 – 4,
 <https://dgbonett.sites.ucsc.edu/>.

Package: r-cran-statquotes
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-tidytext, r-cran-wordcloud
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-statquotes_0.3.2-1.ca2004.1_all.deb
Size: 213816
MD5sum: 348c0dd48a67a1fd7e60154e7ec6d5e8
SHA1: 33b0ea9c743334d2f73070d8cbac8578143a1009
SHA256: 158361df4ac3928729446faa30252c1c2b121a450653de2aa7ec692c70ead592
SHA512: b65309e9895ad2d5be3810dc274b8155eae2479987f02f1ba54940c1ded14a9b873b7d2e75196f1bb456d4fc0602b070e50f942504c1d2d73bc1d9ebef3e52a4
Homepage: https://cran.r-project.org/package=statquotes
Description: CRAN Package 'statquotes' (Quotes on Statistics, Data Visualization and Science)
 Generates a random quotation from a database of quotes on topics in
 statistics, data visualization and science. Other functions allow searching
 the quotes database by key term tags, or authors or creating a word cloud.
 The output is designed to be suitable for use at the console, in Rmarkdown
 and LaTeX.

Package: r-cran-statrank
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncdist, r-cran-plyr, r-cran-ggplot2
Suggests: r-cran-gridextra, r-cran-testthat, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-statrank_0.0.6-1.ca2004.1_all.deb
Size: 225788
MD5sum: c1faaced29130c9e5032a5416c5ff7a8
SHA1: d2b3a13d86478193f8d3c36554866a0bab40e714
SHA256: d278e738d373b61407ab53b0bfe0d6fefefee9056f8e405159ab4018afec4502
SHA512: eb210c218203d6844f54f955082c8f0c55c63af96b011941f643b87195196d9afd0f8055b1f5043fb63d127c02f50f503511e4e40ac9594f66772e9a3c96c566
Homepage: https://cran.r-project.org/package=StatRank
Description: CRAN Package 'StatRank' (Statistical Rank Aggregation: Inference, Evaluation, andVisualization)
 A set of methods to implement Generalized Method of Moments and Maximal
 Likelihood methods for Random Utility Models. These methods are meant to
 provide inference on rank comparison data. These methods accept full,
 partial, and pairwise rankings, and provides methods to break down full or
 partial rankings into their pairwise components. Please see Generalized
 Method-of-Moments for Rank Aggregation from NIPS 2013 for a description of
 some of our methods.

Package: r-cran-stats19
Architecture: all
Version: 3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3248
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-readr
Suggests: r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidyr, r-cran-pkgdown, r-cran-kableextra, r-cran-leaflet, r-cran-geojsonsf, r-cran-htmltools, r-cran-tmap, r-cran-jsonlite, r-cran-spatstat.geom, r-cran-osmdata, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stats19_3.3.1-1.ca2004.1_all.deb
Size: 2421984
MD5sum: a2bf568d779ff8b2587c5e57a66d6e3f
SHA1: 1fd138e44b92090df54e5799b6803e64b58ea88d
SHA256: eb9f63af436bf7389686d2b69bf6212a7f72c1df85a196da3b2dd97cd3508ba7
SHA512: b3d62dcc35b49e7f0d4ff46b86f96533a6545cc6310117101acf8d5210a6c172eeda3e5200c3e811535586a88d6b1328d1f6f796c9da51a107950851612323ec
Homepage: https://cran.r-project.org/package=stats19
Description: CRAN Package 'stats19' (Work with Open Road Traffic Casualty Data from Great Britain)
 Tools to help download, process and analyse the UK road collision data
 collected using the 'STATS19' form. The datasets are provided as 'CSV' files
 with detailed road safety information about the circumstances of car crashes
 and other incidents on the roads resulting in casualties in Great Britain
 from 1979 to present. Tables are available on 'colissions' with the
 circumstances (e.g. speed limit of road), information about 'vehicles'
 involved (e.g. type of vehicle), and 'casualties' (e.g. age).  The
 statistics relate only to events on public roads that were reported to the
 police, and subsequently recorded, using the 'STATS19' collision reporting
 form. See the Department for Transport website
 <https://www.data.gov.uk/dataset/cb7ae6f0-4be6-4935-9277-47e5ce24a11f/road-accidents-safety-data>
 for more information on these datasets.  The package is described in a paper
 in the Journal of Open Source Software (Lovelace et al. 2019)
 <doi:10.21105/joss.01181>.  See Gilardi et al. (2022)
 <doi:10.1111/rssa.12823>, Vidal-Tortosa et al. (2021)
 <doi:10.1016/j.jth.2021.101291>, and Tait et al. (2023)
 <doi:10.1016/j.aap.2022.106895> for examples of how the data can be used for
 methodological and empirical road safety research.

Package: r-cran-stats4teaching
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-asbio, r-cran-car, r-cran-clustergeneration, r-cran-knitr, r-cran-mass, r-cran-mvn, r-cran-nortest, r-cran-psych, r-cran-pwr, r-cran-rstatix
Filename: pool/dists/focal/main/r-cran-stats4teaching_0.1.0-1.ca2004.1_all.deb
Size: 74628
MD5sum: 6cb3d6a25035f5a01f303e3211ca5a5e
SHA1: 27ec1c3423a015b8ab2847a2943c70b1fee5e370
SHA256: 771240aa69e79a2966726c2aa3520b96d27a15e6eff33a12c34a4a98803fed45
SHA512: f3a677d08402903b156a023be42e20cffd2fe4eeb86456f88c14771f0917eac4b15723fe5fc82f3ecb290b3af19eebcd8f379276bc2f6ae725f1dfdbfa838570
Homepage: https://cran.r-project.org/package=stats4teaching
Description: CRAN Package 'stats4teaching' (Simulate Pedagogical Statistical Data)
 Univariate and multivariate normal data simulation. They also supply a brief
 summary of the analysis for each experiment/design: - Independent samples.
 - One-way and two-way Anova.  - Paired samples (T-Test & Regression).  -
 Repeated measures (Anova & Multiple Regression).  - Clinical Assay.

Package: r-cran-statsearchanalyticsr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-tidyr, r-cran-tibble, r-cran-stringr, r-cran-lubridate
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-statsearchanalyticsr_0.1.4-1.ca2004.1_all.deb
Size: 38856
MD5sum: 20e2d43f1b912b37d63b830465616036
SHA1: 237c38374186d38536197d3538919b3ce6dcaa82
SHA256: 0b63e9f5a88f332fae3e4cd7e424330dcb364efddebdd5e0895e91013847fda8
SHA512: 305dda444578360d69dd66e4dab8264d8ce6769b43cc681d03ac9fcd972329bc786e30b7b406565405e9d12ad157e38ce701e37e9876d5ee6aef5bb9c6c185ae
Homepage: https://cran.r-project.org/package=statsearchanalyticsr
Description: CRAN Package 'statsearchanalyticsr' (An Interface for the 'STAT Search Analytics' 'API')
 Pull data from the 'STAT Search Analytics' API
 <https://help.getstat.com/knowledgebase/api-services/>. It was developed by
 the Search Discovery team to help analyze keyword ranking data.

Package: r-cran-statsexpressions
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4246
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-afex, r-cran-bayesfactor, r-cran-bayestestr, r-cran-correlation, r-cran-datawizard, r-cran-dplyr, r-cran-effectsize, r-cran-glue, r-cran-insight, r-cran-magrittr, r-cran-parameters, r-cran-performance, r-cran-pmcmrplus, r-cran-purrr, r-cran-rlang, r-cran-rstantools, r-cran-tidyr, r-cran-withr, r-cran-wrs2, r-cran-zeallot
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-metabma, r-cran-metafor, r-cran-metaplus, r-cran-patrick, r-cran-rmarkdown, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statsexpressions_1.7.0-1.ca2004.1_all.deb
Size: 3225140
MD5sum: caa187dc701cf1c930134efe86c7fea5
SHA1: 62c648e1c1720e567890850788708b16935f2c86
SHA256: 33119aaa7cc17ccf780482b4445b922e3dc419a0bd105a08bf2b3a5a0d3b82a0
SHA512: 1f27bbb9b09de4664def57e8bc2fd6b0413aa396ebe845d3ee54447113b199cad2eab92e18e6b0a081658102300f65fbb05a83f4d142e66d60e8591519eaca03
Homepage: https://cran.r-project.org/package=statsExpressions
Description: CRAN Package 'statsExpressions' (Tidy Dataframes and Expressions with Statistical Details)
 Utilities for producing dataframes with rich details for the most common
 types of statistical approaches and tests: parametric, nonparametric,
 robust, and Bayesian t-test, one-way ANOVA, correlation analyses,
 contingency table analyses, and meta-analyses. The functions are
 pipe-friendly and provide a consistent syntax to work with tidy data. These
 dataframes additionally contain expressions with statistical details, and
 can be used in graphing packages. This package also forms the statistical
 processing backend for 'ggstatsplot'. References: Patil (2021)
 <doi:10.21105/joss.03236>.

Package: r-cran-statsomat
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6092
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-data.table, r-cran-readr, r-cran-shinydisconnect, r-cran-knitr, r-cran-kableextra, r-cran-car, r-cran-ddoutlier, r-cran-energy, r-cran-corrplot, r-cran-ggplot2, r-cran-gridextra, r-cran-reshape2
Suggests: r-cran-mass, r-cran-boot, r-cran-nortest, r-cran-lmtest, r-cran-desctools, r-cran-psych, r-cran-hmisc, r-cran-performanceanalytics, r-cran-reticulate, r-cran-fastdummies, r-cran-semtools, r-cran-semplot, r-cran-factominer, r-cran-factoinvestigate, r-cran-factoextra, r-cran-rrcov, r-cran-imputemissings, r-cran-onewaytests
Filename: pool/dists/focal/main/r-cran-statsomat_1.1.0-1.ca2004.1_all.deb
Size: 433100
MD5sum: 19a3d08fe61c394d1465516eeb09b4ee
SHA1: ca2b585983d9c3fa9622d99c90c47d9cad161f8a
SHA256: 3ba05681d69603d8a8ed32569fdd8fcbba68bf378c4831028783c74900049c66
SHA512: bf9404b06d6b217c49f283b08dafe0e3c622b908768092597303cb919c7491acdccdbc373d2281305fdb90ec02de5cc684756876136e460defa951f902c6168f
Homepage: https://cran.r-project.org/package=Statsomat
Description: CRAN Package 'Statsomat' (Shiny Apps for Automated Data Analysis and AutomatedInterpretation)
 Shiny apps for automated data analysis, annotated outputs and human-readable
 interpretation in natural language. Designed especially for learners and
 applied researchers. Currently available methods: EDA, EDA with Python,
 Correlation Analysis, Principal Components Analysis, Confirmatory Factor
 Analysis.

Package: r-cran-statsr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1338
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bayesfactor, r-cran-dplyr, r-cran-rmarkdown, r-cran-knitr, r-cran-ggplot2, r-cran-broom, r-cran-gridextra, r-cran-shiny, r-cran-cubature, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-spelling, r-cran-histdata, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statsr_0.3.0-1.ca2004.1_all.deb
Size: 1292160
MD5sum: 218096c6d379332aea471e6446fafb10
SHA1: d7ba0719bb22802752f94401a96763ef76aac237
SHA256: dd8d8e10ad25afbb60f7ef4cb070407796007d4a17a437d0b461171bc2257e55
SHA512: 2e6093734a3a00ca95aaac8c4889b4f3cb84a5bd9a0fe36ae1542c0999c3e4c97610c2775da9de5ca087cf36d8ab79ecbc474fa5e69b45204484c4c955fa3aa2
Homepage: https://cran.r-project.org/package=statsr
Description: CRAN Package 'statsr' (Companion Software for the Coursera Statistics with RSpecialization)
 Data and functions to support Bayesian and frequentist inference and
 decision making for the Coursera Specialization "Statistics with R".  See
 <https://github.com/StatsWithR/statsr> for more information.

Package: r-cran-statswalesr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-statswalesr_0.2.0-1.ca2004.1_all.deb
Size: 22556
MD5sum: ada1988a1f1ac5bdce3a841cbf23f852
SHA1: 025bab5dea06c93374a42cb18def30751de11c82
SHA256: 4b46d7f8afb6b06c17a9f7267faf85752a1b1b8eb89d85c918f2cfbf6810ea06
SHA512: 47657eda64d318f1b0a599dcb06a08b537853bb9260ebb218f278263d82d038f364fb23944282dbe62d85be9ce9f0df0febbfeacb3cdc8ab6e2e7fa7b45799a4
Homepage: https://cran.r-project.org/package=statswalesr
Description: CRAN Package 'statswalesr' (Easily Extract Data from 'StatsWales')
 Download data from 'StatsWales' into R. Removes the need for the user to
 write their own loops when parsing data from the 'StatsWales' API. Provides
 functions for datasets (<http://open.statswales.gov.wales/en-gb/dataset>)
 and metadata (<http://open.statswales.gov.wales/en-gb/discover/metadata>)
 endpoints.

Package: r-cran-statteacherassistant
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 743
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desctools, r-cran-dplyr, r-cran-dt, r-cran-extradistr, r-cran-ggplot2, r-cran-plotly, r-cran-rhandsontable, r-cran-rio, r-cran-rmatio, r-cran-shiny, r-cran-shinyalert, r-cran-shinybs, r-cran-shinyjs, r-cran-sortable, r-cran-stringi, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-statteacherassistant_0.0.3-1.ca2004.1_all.deb
Size: 354920
MD5sum: c777a24a7b8592313c07ae40f1e7525f
SHA1: 2ccc3af89bdc1bcf7f0b704c741b68353cb935c0
SHA256: f4434833a25dbf76f962be574cd112d1951b3aa24610b771ae74110fd33a05b8
SHA512: 05b676b0f24d6b019029c1b5d7eb4c83f41487778ff18af1d0c76e2558ad65d21de6eb51febf503618421a64759cc08e5e3277050662f627ea3aa88e11d25ecc
Homepage: https://cran.r-project.org/package=StatTeacherAssistant
Description: CRAN Package 'StatTeacherAssistant' (An App that Assists Intro Statistics Instructors with Data Sets)
 Includes an interactive application designed to support educators in
 wide-ranging disciplines, with a particular focus on those teaching
 introductory statistical methods (descriptive and/or inferential) for data
 analysis. Users are able to randomly generate data, make new versions of
 existing data through common adjustments (e.g., add random normal noise and
 perform transformations), and check the suitability of the resulting data
 for statistical analyses.

Package: r-cran-stattools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stattools_0.1.1-1.ca2004.1_all.deb
Size: 10560
MD5sum: 946b0e2d492a0662727b36f2c590adca
SHA1: 5bfb8afb0e9c0f5bcebc5bc700ff7c467f0245a4
SHA256: 42568d52031ebe80c072052b773002019a09540b880eb5e1e6ea7d598314f0b5
SHA512: fddc65bd5cca3eadc6e89b2d2c50420fcc4e195a11b3908e21e3df5dbdc09eaafa062373e525bcaa921be93501bce3d6beab4253679c533c28a6c6f4465e8b76
Homepage: https://cran.r-project.org/package=StatTools
Description: CRAN Package 'StatTools' (All-in-One Chi Distribution CI)
 Computes confidence intervals for variance using the Chi-Square
 distribution, without requiring raw data. Wikipedia (2025)
 <https://en.wikipedia.org/wiki/Chi-squared_distribution>. 'All-in-One Chi
 Distribution CI' provides functions to calculate confidence intervals for
 the population variance based on a chi-squared distribution, utilizing a
 sample variance and sample size. It offers only a simple all-in-one method
 for quick calculations to find the CI for Chi Distribution.

Package: r-cran-statvisual
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biobase, r-cran-ggplot2, r-cran-ggally, r-cran-dplyr, r-cran-reshape2, r-cran-ggdendro, r-cran-tibble, r-cran-ggfortify, r-cran-ggrepel, r-cran-gbm, r-cran-forestplot, r-cran-rpart.plot, r-cran-gridextra, r-cran-proc, r-cran-factoextra, r-bioc-pvca, r-bioc-limma, r-cran-randomforest, r-cran-glmnet, r-cran-knitr, r-cran-rmarkdown, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-tidyverse, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-statvisual_1.2.1-1.ca2004.1_all.deb
Size: 949672
MD5sum: 46721e21f41c0b0c4fc59eef271fcf43
SHA1: 509a306627da7463432b3bf24703f31f85f901ef
SHA256: e48ada50e47bce725d0edc27de9a8a617a239919bfea16c97af0b9e16f185926
SHA512: e8b5b91bf5e9ec8361684a2796df63a5274727a50fa73f4ec8c71f7750621215f35fde9c009a692e51ad5388facea49019e441561f2107028e098dd401281124
Homepage: https://cran.r-project.org/package=statVisual
Description: CRAN Package 'statVisual' (Statistical Visualization Tools)
 Visualization functions in the applications of translational medicine (TM)
 and biomarker (BM) development to compare groups by statistically
 visualizing data and/or results of analyses, such as visualizing data by
 displaying in one figure different groups' histograms, boxplots, densities,
 scatter plots, error-bar plots, or trajectory plots, by displaying scatter
 plots of top principal components or dendrograms with data points colored
 based on group information, or visualizing volcano plots to check the
 results of whole genome analyses for gene differential expression.

Package: r-cran-stbl
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stbl_0.1.1-1.ca2004.1_all.deb
Size: 71276
MD5sum: 5ff6cb36487ca9fb4d8a12b28bc198ed
SHA1: 00f4cc49c676cf5f5bce68641967436c3310ed4a
SHA256: e95c26861327802c4ac62bca33538d844df25390a7446608e17dc98a713ed057
SHA512: 077e29a424346ea129c652a3b22926df72b6dab161c2f71fc9c48570cf3b2cc4dbb272a4931898dafaf06b01a36bc2bf2b17b7e143ab6f2b81c3b3d99952b830
Homepage: https://cran.r-project.org/package=stbl
Description: CRAN Package 'stbl' (Stabilize Function Arguments)
 A set of consistent, opinionated functions to quickly check function
 arguments, coerce them to the desired configuration, or deliver informative
 error messages when that is not possible.

Package: r-cran-stccgev
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bsts, r-cran-copula, r-cran-evd, r-cran-ggplot2, r-cran-rootsolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stccgev_1.0.0-1.ca2004.1_all.deb
Size: 215004
MD5sum: 21d6b89b67ec8c5b79598ca549a32f1c
SHA1: 4a43d791e261206a5728e639b0de63f2b315fa5e
SHA256: 48690642a7337b1878d5fac1eba4e9f922174f8bf772dc9f5fe36c413bea64ef
SHA512: 41ea1221abf79eb1559613db72324d1f62f231435b084d3d78aa8ddccc0eaf27b28de0860aeae314a01b23a7a0500037ef067fb0a6f7108b6143e16f3c036ac0
Homepage: https://cran.r-project.org/package=STCCGEV
Description: CRAN Package 'STCCGEV' (Conditional Copula Model for Crop Yield Forecasting)
 Provides functions to model and forecast crop yields using a spatial
 temporal conditional copula approach.  The package incorporates extreme
 weather covariates and Bayesian Structural Time Series models to analyze
 crop yield dependencies across multiple regions. Includes tools for fitting,
 simulating, and visualizing results.  This method build upon established R
 packages, including 'Hofert' 'et' 'al'. (2025)
 <doi:10.32614/CRAN.package.copula>, 'Scott' (2024)
 <doi:10.32614/CRAN.package.bsts>, and 'Stephenson' 'et' 'al'. (2024)
 <doi:10.32614/CRAN.package.evd>.

Package: r-cran-stcov
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stcov_0.1.0-1.ca2004.1_all.deb
Size: 18196
MD5sum: 39b8a68f18de268be83eca2cfd319003
SHA1: 2e1fba85178acd90200a2c3dd1751721651bac43
SHA256: 1ab3755a78bf88509f88f6334cf5d9beb9e89dcbd2e2fd8846b060e84d3b0065
SHA512: ad60f946196bccf57846a80c1bd490b8d71c15f5d49fbe10180378cb8d05d30fa97591831ef1425278774e5495e5bc544d3e94dbea4fc73cc53c7654ed58dc83
Homepage: https://cran.r-project.org/package=stcov
Description: CRAN Package 'stcov' (Stein's Covariance Estimator)
 Estimates a covariance matrix using Stein's isotonized covariance estimator,
 or a related estimator suggested by Haff.

Package: r-cran-stddiff
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stddiff_3.1-1.ca2004.1_all.deb
Size: 22540
MD5sum: 097f83918448ab225f35ce40ea581095
SHA1: c2194c8ecdb684cb3748df69d69c58ba4ea888c7
SHA256: 9e4e858e4aa9ecc74d0c89729c20f485ce45ea0317f164fa5fbb4c5c63a6235b
SHA512: 5c6de3274b519c9328c6f541bcd562904d1c3cbe500fc0e3b1bbac1d7a115cbab64ecefd5f18479d43d61485d1e779aa64cf970f91cc99a22663d5688ce9dd34
Homepage: https://cran.r-project.org/package=stddiff
Description: CRAN Package 'stddiff' (Calculate the Standardized Difference for Numeric, Binary andCategory Variables)
 Contains three main functions including stddiff.numeric(), stddiff.binary()
 and stddiff.category().  These are used to calculate the standardized
 difference between two groups.  It is especially used to evaluate the
 balance between two groups before and after propensity score matching.

Package: r-cran-stdistance
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-hmisc, r-cran-scales, r-cran-rcolorbrewer, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stdistance_0.6.4-1.ca2004.1_all.deb
Size: 440376
MD5sum: 26e37624298629fe9c041ad5dd9d966b
SHA1: ceb3a7e1ed595449726788587b31554f0ee0b900
SHA256: 8ee39300d167d3b13219fc516fea1428ab338f86b57c6d9988156c108b245dda
SHA512: 0fe24a69556b1533f27fdb4bdf5e612ae7a20c50267425421dbe73d16b55f10ff0b16f0c44160e7a3bb5cc01cca063994c97e640ab179273e1a1a3795faf7f41
Homepage: https://cran.r-project.org/package=STDistance
Description: CRAN Package 'STDistance' (Spatial Transcriptomics Distance Calculation and Visualization)
 Analysis of spatial relationships between cell types in spatial
 transcriptomics data. Spatial proximity is a critical factor in cell-cell
 communication. The package calculates nearest neighbor distances between
 specified cell types and provides visualization tools to explore spatial
 patterns. Applications include studying cell-cell interactions, immune
 microenvironment characterization, and spatial organization of tissues.

Package: r-cran-stdmod
Architecture: all
Version: 0.2.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-ggplot2, r-cran-lavaan, r-cran-manymome, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-visreg, r-cran-lm.beta
Filename: pool/dists/focal/main/r-cran-stdmod_0.2.11-1.ca2004.1_all.deb
Size: 702344
MD5sum: 95a7cf5078db1e0883b84f34310f63fd
SHA1: 3a96e329c8c14712c420bf7ebe750af0c47ab565
SHA256: 79dc8683ac73e35ffa1b8973c3890c617bf67b49278fe4eac31d511713ce9c1f
SHA512: 7349531971f9213087287ebf76c3f0174a1b3a719fd2da4ad77dcb41754050f7b9bfc6eb9af46e18f9e5a06ec91ea53c8f71800f2d986e8911a0866207aed321
Homepage: https://cran.r-project.org/package=stdmod
Description: CRAN Package 'stdmod' (Standardized Moderation Effect and Its Confidence Interval)
 Functions for computing a standardized moderation effect in moderated
 regression and forming its confidence interval by nonparametric
 bootstrapping as proposed in Cheung, Cheung, Lau, Hui, and Vong (2022)
 <doi:10.1037/hea0001188>. Also includes simple-to-use functions for
 computing conditional effects (unstandardized or standardized) and plotting
 moderation effects.

Package: r-cran-stdreg2
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-drgee, r-cran-generics, r-cran-survival
Suggests: r-cran-causaldata, r-cran-af, r-cran-knitr, r-cran-nnet, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stdreg2_1.0.3-1.ca2004.1_all.deb
Size: 263440
MD5sum: c1684f8a6bc3025d7293a1318b1957f4
SHA1: 4f20fd799efb6d90be21eb78198974d8af5988ec
SHA256: 62075b454ebb58441f639bc5a1d24f0675f653506f5f5676c6bce73acf96f53d
SHA512: d4394caf3806ee0c7ebbcc92ae8ce22ce7f5e15667155d4255c8b8dfba79da311412b1daabd3f37d510cdaf54ca2b92d30ca32ba26d01b2754d37842785715f4
Homepage: https://cran.r-project.org/package=stdReg2
Description: CRAN Package 'stdReg2' (Regression Standardization for Causal Inference)
 Contains more modern tools for causal inference using regression
 standardization. Four general classes of models are implemented; generalized
 linear models, conditional generalized estimating equation models, Cox
 proportional hazards models, and shared frailty gamma-Weibull models.
 Methodological details are described in Sjölander, A. (2016)
 <doi:10.1007/s10654-016-0157-3>.  Also includes functionality for doubly
 robust estimation for generalized linear models in some special cases, and
 the ability to implement custom models.

Package: r-cran-stdreg
Architecture: all
Version: 3.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-data.table, r-cran-numderiv, r-cran-drgee
Filename: pool/dists/focal/main/r-cran-stdreg_3.4.2-1.ca2004.1_all.deb
Size: 181616
MD5sum: f0a012558d3e1e19e787f06188879652
SHA1: 4e42a3dddf6aecef05f72784975370880b56fcbb
SHA256: 50aa5ff8bef9468886b51b5ee9ea4956353aa3194edd9da855efde5265ee4363
SHA512: 6e0f5d19bd12f6e52a512ebfb13d427feb4d00edb056df5a37d6e7696cbbfee58288c24e3340438ae1f386629cd2999d6d511a06a6bac82d341fcc558987ab04
Homepage: https://cran.r-project.org/package=stdReg
Description: CRAN Package 'stdReg' (Regression Standardization)
 Contains functionality for regression standardization. Four general classes
 of models are allowed; generalized linear models, conditional generalized
 estimating equation models, Cox proportional hazards models and shared
 frailty gamma-Weibull models. Sjolander, A. (2016)
 <doi:10.1007/s10654-016-0157-3>.

Package: r-cran-steinernet
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-steinernet_3.1.0-1.ca2004.1_all.deb
Size: 391116
MD5sum: 2da8b38fed809a372f91062416628ffc
SHA1: 106f686e522dc95800fa4a914a2beee09ee3f53a
SHA256: ce6c7a14b4b5b35e78bf65b454b0aaa210d683e96b648f9b9b60cbb552027de1
SHA512: 47569df61f4a8709fc64d796333c4b02e1f590b333166fb6f35eb26c8cf9add579954f5cbb179796a283ac84ce3cc0102364d61cd94a915cc751fa652c74d509
Homepage: https://cran.r-project.org/package=SteinerNet
Description: CRAN Package 'SteinerNet' (Steiner Tree Approach for Graph Analysis)
 A set of functions for finding and analysing Steiner trees. It has
 applications in biological pathway network analysis. Sadeghi (2013)
 <doi:10.1186/1471-2105-14-144>.

Package: r-cran-steiniv
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-steiniv_0.1-1-1.ca2004.1_all.deb
Size: 51064
MD5sum: e6845e556d277d1ddfdc265a30c14f73
SHA1: 2fe37e1fc6dff8f1e07b3f73bcf15cb98c639aa5
SHA256: 9f26e6809f928f05b0edfe05f5fc9c0cf792082d9fcf0dc907ba18de76e87862
SHA512: 59752990f72101acb92b62747b525df27407ed290e33a5a012e961928cc305e03b912732a2e9d787c007360d55daaeb8250daecca0fcd96bb5f804bb2d1ed403
Homepage: https://cran.r-project.org/package=SteinIV
Description: CRAN Package 'SteinIV' (Semi-Parametric Stein-Like Estimator with Instrumental Variables)
 Routines for computing different types of linear estimators, based on
 instrumental variables (IVs), including the semi-parametric Stein-like (SPS)
 estimator, originally introduced by Judge and Mittelhammer (2004)
 <DOI:10.1198/016214504000000430>.

Package: r-cran-stellar
Architecture: all
Version: 0.3-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-stellar_0.3-6-1.ca2004.1_all.deb
Size: 151164
MD5sum: 3b710ca7d5078e89d8eb71b8d61d26fd
SHA1: ad0b224721876e58829d72017508760a6fe0d4d0
SHA256: ea1273b4bb3efb1731d41726c97cfcdfeb9d024aabe3de7236c18a79983260ca
SHA512: c5586d6f6634bda36fa36d965152adc12e0898892e10a16ddb86bd0de89dd03cbd8c2a0d251d5b5e3d2c953e03839ecc23fe092a0fc744b8cb59975e7b0effce
Homepage: https://cran.r-project.org/package=stellaR
Description: CRAN Package 'stellaR' (Evolutionary Tracks and Isochrones from Pisa Stellar EvolutionDatabase)
 Manages and display stellar tracks and isochrones from Pisa low-mass
 database. Includes tools for isochrones construction and tracks
 interpolation.

Package: r-cran-stem
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 431
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-mass
Filename: pool/dists/focal/main/r-cran-stem_1.0-1.ca2004.1_all.deb
Size: 132004
MD5sum: 0a67685868c2a28317f957c3f56e88fb
SHA1: ab0963f109e4843263cf6419b8d8eebc796c4996
SHA256: d450be26a1bc75f68327ffbfb14f0dd8541e537e152a26523679c3397740eecb
SHA512: 6df918c6a4d4188b7f70bd2fc53f56dd64a817f7160b3a546d5115199470aef983b38bcd2d2266eb5bd68a19601c7b4700b5b48080f317956d359e2fd23d7a08
Homepage: https://cran.r-project.org/package=Stem
Description: CRAN Package 'Stem' (Spatio-temporal models in R)
 Estimation of the parameters of a spatio-temporal model using the EM
 algorithm, estimation of the parameter standard errors using a
 spatio-temporal parametric bootstrap, spatial mapping.

Package: r-cran-stemanalysis
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 959
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lmfor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stemanalysis_0.1.0-1.ca2004.1_all.deb
Size: 337092
MD5sum: 4d0877f4c53b85527b6361b33dcf9520
SHA1: ff2139c198f147ee95210a07982e7a4a8b3093f2
SHA256: f8178e3105ff93479fadf85da7745ec70aeba1cb2e9257cb727e4acbc4464ef6
SHA512: f0b92f88212f3f5689b7f28087108fdd0c39bff62e881edb2ba24649ac6682ce57ae9deb1508470270a33f0f7137e6e205c8683e0cf3d192458bb6531be59c32
Homepage: https://cran.r-project.org/package=StemAnalysis
Description: CRAN Package 'StemAnalysis' (Reconstructing Tree Growth and Carbon Accumulation with StemAnalysis Data)
 Use stem analysis data to reconstructing tree growth and carbon
 accumulation. Users can independently or in combination perform a number of
 standard tasks for any tree species.  (i) Age class determination.  (ii) The
 cumulative growth, mean annual increment, and current annual increment of
 diameter at breast height (DBH) with bark, tree height, and stem volume with
 bark are estimated.  (iii) Tree biomass and carbon storage estimation from
 volume and allometric models are calculated.  (iv) Height-diameter
 relationship is fitted with nonlinear models, if diameter at breast height
 (DBH) or tree height are available, which can be used to retrieve tree
 height and diameter at breast height (DBH).
 <https://github.com/forestscientist/StemAnalysis>.

Package: r-cran-stemmatology
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cluster, r-cran-igraph, r-cran-xml2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stemmatology_0.3.2-1.ca2004.1_all.deb
Size: 1089412
MD5sum: 9b47b839493300ae8b85a05785eb9d18
SHA1: 386849e4a21ac244672c2a2a036e8f75eabe2a26
SHA256: e325729c3d525a9a9987ef6ca3e28b1d34f8df00c22ad21dbb5061911c912420
SHA512: 93c3f618d6d8833414ef946f8b0af8238ea8670be1843c60c2518a54a11f0462d6f09f15205c7f4226739afc8670decc59021c88908a1b7b974201f39cd37635
Homepage: https://cran.r-project.org/package=stemmatology
Description: CRAN Package 'stemmatology' (Stemmatological Analysis of Textual Traditions)
 Explore and analyse the genealogy of textual or musical traditions, from
 their variants, with various stemmatological methods, mainly the
 disagreement-based algorithms suggested by Camps and Cafiero (2015)
 <doi:10.1484/M.LECTIO-EB.5.102565>.

Package: r-cran-stencilaschema
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 378
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-devtools, r-cran-lintr, r-cran-pkgdown, r-cran-rhub, r-cran-roxygen2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stencilaschema_1.0.0-1.ca2004.1_all.deb
Size: 321848
MD5sum: 16282ddd2c7363ccf8dc882e1be1ef26
SHA1: 50bd85de19fa666e61be47b26a07d6034553ad49
SHA256: 9a2d4d37f81bd39ffa007760ef39b576ca3e90195394fb9ff3271b20f5c5ffcd
SHA512: dc0ca438c042aa3b9e9e50e4812fe07996ecd669815b9626a8cb8f6baf1982973d8be7047ed5561b52cc6ccf84cd221652dacfbf4efcb40e57c7b8f01db61f2b
Homepage: https://cran.r-project.org/package=stencilaschema
Description: CRAN Package 'stencilaschema' (Bindings for Stencila Schema)
 Provides R bindings for the Stencila Schema <https://schema.stenci.la>. This
 package is primarily aimed at R developers wanting to programmatically
 generate, or modify, executable documents.

Package: r-cran-stenographer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-rlang, r-cran-jsonlite, r-cran-fs, r-cran-crayon, r-cran-dbi
Suggests: r-cran-testthat, r-cran-diffviewer, r-cran-knitr, r-cran-rmarkdown, r-cran-box, r-cran-future, r-cran-future.apply, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-stenographer_1.0.0-1.ca2004.1_all.deb
Size: 86452
MD5sum: f31a5506a392ea296a8120e5acd0dff8
SHA1: ba96ac8902efa187afec26f89bfd193274465fa6
SHA256: 7e3b9fc42528ae4b4fc787600cf0a3716b3164917a301e51fa4e387461d590c2
SHA512: 88b3a57df809c0dd290b19cf72645654a294a82892df43293c473708384cd852c82f9128bb143f0f1fd9d6742feb8883c1779b6b2433855411e426e23b82da0f
Homepage: https://cran.r-project.org/package=stenographer
Description: CRAN Package 'stenographer' (Flexible and Customisable Logging System)
 A comprehensive logging framework for R applications that provides
 hierarchical logging levels, database integration, and contextual logging
 capabilities. The package supports 'SQLite' storage for persistent logs,
 provides colour-coded console output for better readability, includes
 parallel processing support, and implements structured error reporting with
 'JSON' formatting.

Package: r-cran-stenr
Architecture: all
Version: 0.6.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1027
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-moments, r-cran-rlang, r-cran-r6
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-jsonlite, r-cran-knitr, r-cran-rmarkdown, r-cran-simmulticorrdata, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stenr_0.6.9-1.ca2004.1_all.deb
Size: 748724
MD5sum: 62daa6c47f6af459056af8a329ffe11b
SHA1: 0ad7274a8cd5e5ec7971a4d0c93b804ac20d33a5
SHA256: 54e6e3eaefaa6c6f58f23041d9b8af839e20e30410f1765da5a1350b0e0a5b4f
SHA512: a45deae9921e910055dba8ff0ec995f442286efd4fc184be12145a94510be93bb7359e4a16258b207e4f105fe345b8fa107b476291d934b61f47e6dec99a2e17
Homepage: https://cran.r-project.org/package=stenR
Description: CRAN Package 'stenR' (Standardization of Raw Discrete Questionnaire Scores)
 An user-friendly framework to preprocess raw item scores of questionnaires
 into factors or scores and standardize them. Standardization can be made
 either by their normalization in representative sample, or by import of
 premade scoring table.

Package: r-cran-stepbeta
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-glue, r-cran-betareg, r-cran-combinat, r-cran-aod, r-cran-mass
Filename: pool/dists/focal/main/r-cran-stepbeta_2.1.0-1.ca2004.1_all.deb
Size: 46196
MD5sum: 47c7acd90584f56b61fdae2842f42131
SHA1: c6c3db7f468d0c4f77e42bf673ded113267900d7
SHA256: e10b8ff5de9e093f76cde47c0ebeb62a83478a9b67ba1cea1b8d3d236f18a170
SHA512: 49a8ec6a86757a17dd8bc47a2b17b7af04ecfb1fad13f06e0e8c7d333e0122881bb5af183643fb3d7a6951369290e97491ccdf5ef43a4684c9ff13a63098f666
Homepage: https://cran.r-project.org/package=StepBeta
Description: CRAN Package 'StepBeta' (Stepwise Procedure for Beta, Beta-Binomial and Negative BinomialRegression Models)
 Starting from a Regression Model, it provides a stepwise procedure to select
 the linear predictor.

Package: r-cran-stepcam
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ade4, r-cran-ape, r-cran-fd, r-cran-geometry, r-cran-gtools
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stepcam_1.2.3-1.ca2004.1_all.deb
Size: 186508
MD5sum: 73eed260531ae5fa381119e2ac827ecc
SHA1: 39b37b904167b2b6ec659e4d2ac7204a7db3e1e9
SHA256: 892c66cdbe13eba0f77686c350ac4bc243271f887e979bc33616e2166d68ee81
SHA512: 3cc47e60f7967f5bee7ab464b13423e08c784f660f5f0933539a916fa497db0d3fe1a2b02d88131669a25f76957c934a330534ad2c246b31000e5804d21885c8
Homepage: https://cran.r-project.org/package=STEPCAM
Description: CRAN Package 'STEPCAM' (ABC-SMC Inference of STEPCAM)
 Collection of model estimation, and model plotting functions related to the
 STEPCAM family of community assembly models. STEPCAM is a STEPwise Community
 Assembly Model that infers the relative contribution of Dispersal Assembly,
 Habitat Filtering and Limiting Similarity from a dataset consisting of the
 combination of trait and abundance data. See also <doi:10.1890/14-0454.1>
 for more information.

Package: r-cran-stepcount
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2727
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-curl, r-cran-lubridate, r-cran-magrittr, r-cran-readr, r-cran-reticulate
Suggests: r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stepcount_0.3.2-1.ca2004.1_all.deb
Size: 2652752
MD5sum: 73ec69398761b5629d80166601cfb911
SHA1: 047be21df21b191f6d616950dd9b3e0fe778f17d
SHA256: a789c48891d452c678b22ff8507a4cec8a9cb653345505d663edef633d590c71
SHA512: 24023e1f7bafaf6b1de1a04d5f6ca373a02966c13b23ebf6c245eff9dcfdc274cbd5f684e807f5fa5bcf50dd87bbb8eb5dcdd521cd3759fed023fd9e9fc7b8e2
Homepage: https://cran.r-project.org/package=stepcount
Description: CRAN Package 'stepcount' (Estimate Step Counts from 'Accelerometry' Data)
 Interfaces the 'stepcount' Python module
 <https://github.com/OxWearables/stepcount> to estimate step counts and other
 activities from 'accelerometry' data.

Package: r-cran-stepdownfdp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-stepdownfdp_1.0.0-1.ca2004.1_all.deb
Size: 24664
MD5sum: 3eafceffa4168dd367509bea44083072
SHA1: fae7266301a1c9a17c3a45cca43b9527fa9477c6
SHA256: f1a64465cbea8a009c1d59810322d756204ef47526dd5e7c6928baaea665baef
SHA512: b1144e8ec45608c3fd0c4b4a5d272c4dff7e59335eaca2eb98487862f658eb923adbc2d260a501f6c25147758d9b4ee6d0a25bf10d6687f4d4d9c5515a78b7fc
Homepage: https://cran.r-project.org/package=stepdownfdp
Description: CRAN Package 'stepdownfdp' (A Step-Down Procedure to Control the False Discovery Proportion)
 Provides a step-down procedure for controlling the False Discovery
 Proportion (FDP) in a competition-based setup, implementing Dong et al.
 (2020) <arXiv:2011.11939>. Such setups include target-decoy competition
 (TDC) in computational mass spectrometry and the knockoff construction in
 linear regression.

Package: r-cran-stepgbm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-spm, r-cran-steprf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-stepgbm_1.0.1-1.ca2004.1_all.deb
Size: 29444
MD5sum: 1f4ebea14e9c341c65e0402b6dcafb3d
SHA1: 5fc50de2a980574571b2834f1bd684f2ffc59161
SHA256: ae08d844b4bd7c169f0f6ead2641b3b1d3720ebd3f25853ade980db979c45d2a
SHA512: 7cff774acb333281f1f18ef7017332adfe70b0c954b72de3fd644c8017a1e3c0d65d02f6612b74d7a0e949ce90bb5d2b2b89effbb36ee8cdd0a7ca5f74d01609
Homepage: https://cran.r-project.org/package=stepgbm
Description: CRAN Package 'stepgbm' (Stepwise Variable Selection for Generalized Boosted RegressionModeling)
 An introduction to a couple of novel predictive variable selection methods
 for generalised boosted regression modeling (gbm). They are based on various
 variable influence methods (i.e., relative variable influence (RVI) and
 knowledge informed RVI (i.e., KIRVI, and KIRVI2)) that adopted similar ideas
 as AVI, KIAVI and KIAVI2 in the 'steprf' package, and also based on
 predictive accuracy in stepwise algorithms. For details of the variable
 selection methods, please see: Li, J., Siwabessy, J., Huang, Z. and Nichol,
 S. (2019) <doi:10.3390/geosciences9040180>. Li, J., Alvarez, B., Siwabessy,
 J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F., Nichol, S.
 (2017). <DOI: 10.13140/RG.2.2.27686.22085>.

Package: r-cran-stepgwr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-qpdf, r-cran-numbers, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stepgwr_0.1.0-1.ca2004.1_all.deb
Size: 26984
MD5sum: ffefadbc7c5822df78dfcfeb798bc563
SHA1: 271ef805cd94e2f15212cb19a783d1c47b609cfa
SHA256: bca7597ef0a69ca6d479b34cbcf7eeb2839f73e3f9bb2eaeedc34bd0414edb3f
SHA512: ea5eb32dab676e1c2885bdb7909c1d7cc4b0cdf540b17f8924e89a6bfb71c9f7df1a6ab45b8a0a9dd52f63c39b9b74a357e05f955d1eda24badcc0764f5a927f
Homepage: https://cran.r-project.org/package=StepGWR
Description: CRAN Package 'StepGWR' (A Hybrid Spatial Model for Prediction and Capturing SpatialVariation in the Data)
 It is a hybrid spatial model that combines the variable selection
 capabilities of stepwise regression methods with the predictive power of the
 Geographically Weighted Regression(GWR) model.The developed hybrid model
 follows a two-step approach where the stepwise variable selection method is
 applied first to identify the subset of predictors that have the most
 significant impact on the response variable, and then a GWR model is fitted
 using those selected variables for spatial prediction at test or unknown
 locations. For method details,see Leung, Y., Mei, C. L. and Zhang, W. X.
 (2000).<DOI:10.1068/a3162>.This hybrid spatial model aims to improve the
 accuracy and interpretability of GWR predictions by selecting a subset of
 relevant variables through a stepwise selection process.This approach is
 particularly useful for modeling spatially varying relationships and
 improving the accuracy of spatial predictions.

Package: r-cran-stepjglm
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsq
Filename: pool/dists/focal/main/r-cran-stepjglm_0.0.1-1.ca2004.1_all.deb
Size: 64568
MD5sum: edd073fa657b0e94a0779a54000e3e18
SHA1: ff0b2f6b859e75c449e78bf304590823838ede99
SHA256: 767719a0ffb8f337f627be0eb4d28e59ba8eec4079a37342964420befa045305
SHA512: c1761c6337b68983de5b0309a8b511d1f2dac43dd859c9eab6e73f46c109058706de2d3fb15209584a28aef19bbc96b28c5959bc94355384395d68f88dab1bea
Homepage: https://cran.r-project.org/package=stepjglm
Description: CRAN Package 'stepjglm' (Variable Selection for Joint Modeling of Mean and Dispersion)
 A Package for selecting variables for the joint modeling of mean and
 dispersion (including models for mixture experiments) based on hypothesis
 testing and the quality of model's fit. In each iteration of the selection
 process, a criterion for checking the goodness of fit is used as a filter
 for choosing the terms that will be evaluated by a hypothesis test. Pinto &
 Pereira (2021) <arXiv:2109.07978>.

Package: r-cran-stepmixr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-stepmixr_0.1.2-1.ca2004.1_all.deb
Size: 62132
MD5sum: d41b3a66bd6173435d6b1b0af53b265e
SHA1: 3760c94bbaa1f575f98960f6b94a0e24b4734985
SHA256: e920312cc1c4a6902f8cc55eeb85efa9a245a5183eafadb708f9cd8adea753a3
SHA512: 11e06052427ce03ad7913b8ef53ca00206f950860c92b71ac2ea831dbed9f82884959d41adfb9486de7756011cf9176b3100d851b2640f6f99cc161db83f94cc
Homepage: https://cran.r-project.org/package=stepmixr
Description: CRAN Package 'stepmixr' (Interface to 'Python' Package 'StepMix')
 This is an interface for the 'Python' package 'StepMix'. It is a 'Python'
 package following the scikit-learn API for model-based clustering and
 generalized mixture modeling (latent class/profile analysis) of continuous
 and categorical data. 'StepMix' handles missing values through Full
 Information Maximum Likelihood (FIML) and provides multiple stepwise
 Expectation-Maximization (EM) estimation methods based on pseudolikelihood
 theory. Additional features include support for covariates and distal
 outcomes, various simulation utilities, and non-parametric bootstrapping,
 which allows inference in semi-supervised and unsupervised settings.

Package: r-cran-steppedpower
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4123
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-plotly, r-cran-rfast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-swcrtdesign, r-cran-testthat, r-cran-pwr
Filename: pool/dists/focal/main/r-cran-steppedpower_0.3.5-1.ca2004.1_all.deb
Size: 1046032
MD5sum: 870786a00f79c36b0f9fac268a0e8d4d
SHA1: e626b94532c883a01bec9a280b4a9023657fdb7a
SHA256: da076afe1230722676bb39d02e98e35fb695fd29763114d27f46a7e95513f59d
SHA512: 96836786a1fb74af4fcbc81e310265df52f2bb87292beb0ae60bab733e2a80cab3d66a7378dac2b4def0d98994a2ead4c0b2b68752d842dc332530eeb1394c83
Homepage: https://cran.r-project.org/package=SteppedPower
Description: CRAN Package 'SteppedPower' (Power Calculation for Stepped Wedge Designs)
 Tools for power and sample size calculation as well as design diagnostics
 for longitudinal mixed model settings, with a focus on stepped wedge
 designs.  All calculations are oracle estimates i.e. assume random effect
 variances to be known (or guessed) in advance.  The method is introduced in
 Hussey and Hughes (2007) <doi:10.1016/j.cct.2006.05.007>, extensions are
 discussed in Li et al. (2020) <doi:10.1177/0962280220932962>.

Package: r-cran-steppedwedge
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 582
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-stringr, r-cran-magrittr, r-cran-ggplot2, r-cran-lme4, r-cran-geepack, r-cran-performance
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-steppedwedge_1.0.0-1.ca2004.1_all.deb
Size: 516060
MD5sum: 5559cd65df21f3cfe4a35662d01aeef1
SHA1: 42491dbb75cdac22ebcce9197772201a09b75ace
SHA256: af13c6f31ed54a29c856523ec231de7d20bf3d256d26f955fad86b628473cb86
SHA512: 75d15255eb13ef4c827f5eea83a349b5ed5aa0b9f9b104fc7f1ef768ae0864ecc86db622ccdeb4b4bb33121b1aef1bf66663113af47d6341d49b1ab480f7935b
Homepage: https://cran.r-project.org/package=steppedwedge
Description: CRAN Package 'steppedwedge' (Analyze Data from Stepped Wedge Cluster Randomized Trials)
 Provide various functions and tools to help fit models for estimating
 treatment effects in stepped wedge cluster randomized trials.  Implements
 methods described in Kenny, Voldal, Xia, and Heagerty (2022) "Analysis of
 stepped wedge cluster randomized trials in the presence of a time-varying
 treatment effect", <doi:10.1002/sim.9511>.

Package: r-cran-steppenal
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mvtnorm, r-cran-proc, r-cran-dfoptim, r-cran-caret
Filename: pool/dists/focal/main/r-cran-steppenal_0.2-1.ca2004.1_all.deb
Size: 79644
MD5sum: b3221d6c36c0f96825eb67f3e2640f07
SHA1: 0c4b6be73485a49cef824f7c2411470c50e7a41a
SHA256: 2d242946014682f3366d26f9044250d08428e1d8bad303ebbb870dc8d9bed3b1
SHA512: 288a61f5fb2de9ade9ecdfec35987292ec02fd7be98597d25fb7d9cc37dec08a23abd586e73375d70f1c840ccbf9c802b51ebf2ef1897365b85b79b3313e0672
Homepage: https://cran.r-project.org/package=stepPenal
Description: CRAN Package 'stepPenal' (Stepwise Forward Variable Selection in Penalized Regression)
 Model Selection Based on Combined Penalties. This package implements a
 stepwise forward variable selection algorithm based on a penalized
 likelihood criterion that combines the L0 with L2 or L1 norms.

Package: r-cran-stepreg
Architecture: all
Version: 1.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4710
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-mass, r-cran-stringr, r-cran-survival, r-cran-flextable, r-cran-cowplot, r-cran-shiny, r-cran-ggcorrplot, r-cran-tidyr, r-cran-summarytools, r-cran-shinythemes, r-cran-rmarkdown, r-cran-dt, r-cran-shinycssloaders, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-testthat, r-bioc-biocstyle, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-stepreg_1.5.8-1.ca2004.1_all.deb
Size: 2878372
MD5sum: 5b8b1765904024518361e7b839ebd767
SHA1: 956dbf210b7694a618c6660bd3b7b5bbc302bd26
SHA256: 86a29fc7d2cb39160be9c33902b35e6dbbabc5712e03a593243c2cef57d76ee1
SHA512: aa0cb63af111e4b99633113d7d414f6656d74a66e0cccf11e385fb38406bbdb40d90a320e4537e88aef786d197883465ebb0fc71e0cf155fd4cb60924e86b3e9
Homepage: https://cran.r-project.org/package=StepReg
Description: CRAN Package 'StepReg' (Stepwise Regression Analysis)
 Stepwise regression is a statistical technique used for model selection.
 This package streamlines stepwise regression analysis by supporting multiple
 regression types, incorporating popular selection strategies, and offering
 essential metrics. It enables users to apply multiple selection strategies
 and metrics in a single function call, visualize variable selection
 processes, and export results in various formats. However, StepReg should
 not be used for statistical inference unless the variable selection process
 is explicitly accounted for, as it can compromise the validity of the
 results. This limitation does not apply when StepReg is used for prediction
 purposes. We validated StepReg's accuracy using public datasets within the
 SAS software environment. Additionally, StepReg features an interactive
 Shiny application to enhance usability and accessibility.

Package: r-cran-steprf
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-spm, r-cran-randomforest, r-cran-spm2, r-cran-psy
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-lattice, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-steprf_1.0.2-1.ca2004.1_all.deb
Size: 49936
MD5sum: 5cbd80b8017ac305efc03847d8738949
SHA1: 7b47cd5cf027fbe16f5881f646ea0fe99d5e4c69
SHA256: 7b458024b00d3ce940b759447f31c66b3e48af204157bbc417ce10808dbc5e34
SHA512: cdade30c267ab01718d86c3f8a6bca292552fae7daef4d7760c7409851f182eeff34ac0e36a0976252395e686555ce8f82f34d1c770504bada143bdf18da75c2
Homepage: https://cran.r-project.org/package=steprf
Description: CRAN Package 'steprf' (Stepwise Predictive Variable Selection for Random Forest)
 An introduction to several novel predictive variable selection methods for
 random forest. They are based on various variable importance methods (i.e.,
 averaged variable importance (AVI), and knowledge informed AVI (i.e., KIAVI,
 and KIAVI2)) and predictive accuracy in stepwise algorithms. For details of
 the variable selection methods, please see: Li, J., Siwabessy, J., Huang, Z.
 and Nichol, S. (2019) <doi:10.3390/geosciences9040180>. Li, J., Alvarez, B.,
 Siwabessy, J., Tran, M., Huang, Z., Przeslawski, R., Radke, L., Howard, F.,
 Nichol, S. (2017). <DOI: 10.13140/RG.2.2.27686.22085>.

Package: r-cran-stevedata
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4150
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stevedata_1.5.0-1.ca2004.1_all.deb
Size: 4178248
MD5sum: 9de4081e43f81cba6bd0406b5dfe492c
SHA1: ace9cd1eae10d298c02ef06cd26ab40061fe6240
SHA256: d16577752bd36cf32aa9490ae6d243f9e68e4342a4a7a70a9ebc909d269c219a
SHA512: 7dd9c236cc59b1636216c275b55683790179de5fc952a204fba183590a87e32c97d59f5ce731b8eeab38e408fdb90ef0d5a96db2f820273b4db55b757531330e
Homepage: https://cran.r-project.org/package=stevedata
Description: CRAN Package 'stevedata' (Steve's Toy Data for Teaching About a Variety of Methodological,Social, and Political Topics)
 This is a collection of various kinds of data with broad uses for teaching.
 My students, and academics like me who teach the same topics I teach, should
 find this useful if their teaching workflow is also built around the R
 programming language. The applications are multiple but mostly cluster on
 topics of statistical methodology, international relations, and political
 economy.

Package: r-cran-stevedore
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2026
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crayon, r-cran-curl, r-cran-jsonlite, r-cran-yaml
Suggests: r-cran-knitr, r-cran-openssl, r-cran-redux, r-cran-reticulate, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-stevedore_0.9.6-1.ca2004.1_all.deb
Size: 1032184
MD5sum: 66e446ba30ed22f32d0ee653cd06dfe4
SHA1: cbf984a69a61c986cd88557b42d1155aa67adae1
SHA256: 2af3f45478570fa62806fb2d36f192435f4536e34f8943f210a47f226739a2f2
SHA512: c75f1a93e920944035a04e06685dd59380370d555cc25c47202a9c8e5268c967a943b9eebaac0cd059b3027ecaf554e7dcb4112bbc0aab8cd3f24d6444074eb3
Homepage: https://cran.r-project.org/package=stevedore
Description: CRAN Package 'stevedore' (Docker Client)
 Work with containers over the Docker API.  Rather than using system calls to
 interact with a docker client, using the API directly means that we can
 receive richer information from docker.  The interface in the package is
 automatically generated using the 'OpenAPI' (a.k.a., 'swagger')
 specification, and all return values are checked in order to make them type
 stable.

Package: r-cran-stevemisc
Architecture: all
Version: 1.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-labelled, r-cran-arm, r-cran-purrr, r-cran-tibble, r-cran-dplyr, r-cran-lme4, r-cran-rlang, r-cran-forcats, r-cran-stringr, r-cran-httr, r-cran-rmarkdown, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-dbi, r-cran-rsqlite, r-cran-dbplyr
Filename: pool/dists/focal/main/r-cran-stevemisc_1.8.0-1.ca2004.1_all.deb
Size: 439076
MD5sum: 9498de791d759f3e170cbd3921669c6d
SHA1: 5efd18d4037132011d485c77fc6d1fee1a82cfcb
SHA256: 2b01ecd4d34db20420d9efcbfee7c9ae8f653d6e730988e74367e2e0ee84635a
SHA512: ef31066e4b4a1e5510f31df1c43b9d5afd318c6f0d81119e3e4d86390596065eed28882cea8078b6b8a01f164950f79caef19e01823fe87fd63ea7e5ef42ee7a
Homepage: https://cran.r-project.org/package=stevemisc
Description: CRAN Package 'stevemisc' (Steve's Miscellaneous Functions)
 These are miscellaneous functions that I find useful for my research and
 teaching.  The contents include themes for plots, functions for simulating
 quantities of interest from regression models, functions for simulating
 various forms of fake data for instructional/research purposes, and many
 more. All told, the functions provided here are broadly useful for data
 organization, data presentation, data recoding, and data simulation.

Package: r-cran-stevetemplates
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 563
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stevetemplates_1.1.0-1.ca2004.1_all.deb
Size: 190900
MD5sum: 7ec8df872255acc5a2a960b48ca5fa29
SHA1: a4638bfa02513c4fee6878a99eb01d3d38f34e91
SHA256: d474c1faeee9ce8bcdb95716da417b1d565caec80d684b2e373a692692446785
SHA512: 7a0390074e209bca199074636c98bf77f47ae0d5a188125aef55d68dddafe088cacf4b5197a51091e44ded35a080d85c1bc03b7d659ed1e53fda5b1ec509fc03
Homepage: https://cran.r-project.org/package=stevetemplates
Description: CRAN Package 'stevetemplates' (Steve's R Markdown Templates)
 These are my collection of 'R Markdown' templates, mostly for compilation to
 PDF.  These are useful for all things academic and professional, if you are
 using 'R Markdown' for things like your CV or your articles and manuscripts.

Package: r-cran-stevethemes
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2626
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-rlang, r-cran-systemfonts
Filename: pool/dists/focal/main/r-cran-stevethemes_0.1.0-1.ca2004.1_all.deb
Size: 836432
MD5sum: 8b4989cf90420c7db14705c0823ca8d4
SHA1: 1f2e7ae6306bf441bda0e5f4d01b5a2d08a5c1a5
SHA256: 1890dfe59f92150028cd4b051a9a19ab9436309d71c66ded6a890516351c8729
SHA512: a5c07c6e76010da7f250f101441635431354b82b94398cd6f608b028f41131c5b68cbf57371fda1205ef86de77adbf076b4a4115008a102525e3ec5016b799eb
Homepage: https://cran.r-project.org/package=stevethemes
Description: CRAN Package 'stevethemes' (Steve's 'ggplot2' Themes and Related Theme Elements)
 This is a compilation of my preferred themes and related theme elements for
 'ggplot2'. I believe these themes and theme elements are aesthetically
 pleasing, both for pedagogical instruction and for the presentation of
 applied statistical research to a wide audience. These themes imply routine
 use of easily obtained/free fonts, simple forms of which are included in
 this package.

Package: r-cran-stfts
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stfts_0.1.0-1.ca2004.1_all.deb
Size: 54684
MD5sum: ba9157bfb989228e6ea0003772ce17c5
SHA1: fbfe1d4ea38037eab451c3809149244df2e72d9f
SHA256: 790602004f3d6c739ab0e36033f571d42e64aec2da0c479e42ac82c4f7dfafff
SHA512: cc599ce36c40a76d1d3d5cb1df52d0e17f01037bf1d7aa1b1b9ff03ed95772498c601296025a1a096c09a5cd23cba8591b47a69d4683489b2495ef1fbcf8b41e
Homepage: https://cran.r-project.org/package=STFTS
Description: CRAN Package 'STFTS' (Statistical Tests for Functional Time Series)
 A collection of statistical hypothesis tests of functional time series.
 While it will include more tests when the related literature are enriched,
 this package contains the following key tests: functional stationarity test,
 functional trend stationarity test, functional unit root test, to name a
 few.

Package: r-cran-stgam
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4149
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mgcv, r-cran-glue, r-cran-foreach, r-cran-doparallel, r-cran-dplyr
Suggests: r-cran-cols4all, r-cran-knitr, r-cran-ggplot2, r-cran-cowplot, r-cran-purrr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-stgam_1.0.2-1.ca2004.1_all.deb
Size: 3133060
MD5sum: 6817209112adcb1908703dc2e5fc2273
SHA1: 8a79e5c6ddec5ed55d237030b16882d78642b64e
SHA256: b6962dbdc59f232bac6d734bcb754f637e443c1c5cab791dd2a717c683d6f5ba
SHA512: b16753d349cd48af2dc0774971e6bddd3bfcfc2e1c8b10353ed9bbb36f79075bf104753f6a004e31312cce6581323eb3da0bab38afd3db6014ebbbb18d807257
Homepage: https://cran.r-project.org/package=stgam
Description: CRAN Package 'stgam' (Spatially and Temporally Varying Coefficient Models UsingGeneralized Additive Models)
 A framework for specifying spatially, temporally and
 spatially-and-temporally varying coefficient models using Generalized
 Additive Models with smooths. The smooths are parameterised with location,
 time and predictor variables. The framework supports the investigation of
 the presence and nature of any space-time dependencies in the data by
 evaluating multiple model forms (specifications) using a Generalized
 Cross-Validation score. The workflow sequence is to: i) Prepare the data by
 lengthening it to have a single location and time variables for each
 observation. ii) Evaluate all possible spatial and/or temporal models in
 which each predictor is specified in different ways. iii) Evaluate each
 model and pick the best one. iv) Create the final model. v) Calculate the
 varying coefficient estimates to quantify how the relationships between the
 target and predictor variables vary over space, time or space-time. vi)
 Create maps, time series plots etc. For more details see: Comber et al
 (2023) <doi:10.4230/LIPIcs.GIScience.2023.22>, Comber et al (2024)
 <doi:10.1080/13658816.2023.2270285> and Comber et al (2004)
 <doi:10.3390/ijgi13120459>.

Package: r-cran-stgs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-brnn, r-cran-kernlab, r-cran-randomforest, r-cran-rrblup
Filename: pool/dists/focal/main/r-cran-stgs_0.1.0-1.ca2004.1_all.deb
Size: 41168
MD5sum: 420135067c8188410e842b2a855dbe3d
SHA1: a44a20d05c256bdf15b703559e0295859b6c79d1
SHA256: 3501e71307d4acc206bcef6c602cdbee10a1e390b0f0bbc35f2fcb90e34de313
SHA512: fef7bf06b300d4460d97b2369404107f92a9c19a5ec32e9a114010133cf3f156ca76ddbd20607c2574353b52b391e77e468d1fc13771d09c86d9bcf7ca8399af
Homepage: https://cran.r-project.org/package=STGS
Description: CRAN Package 'STGS' (Genomic Selection using Single Trait)
 Genomic Selection (GS) is a latest development in animal and plant breeding
 where whole genome markers information is used to predict genetic merit of
 an individuals in a practical breeding programme. GS is one of the promising
 tool for improving genetic gain in animal and plants in today’s scenario.
 This package is basically developed for genomic predictions by estimating
 marker effects. These marker effects further used for calculation of
 genotypic merit of individual i.e. genome estimated breeding values (GEBVs).
 Genomic selection may be based on single trait or multi traits information.
 This package performs genomic selection only for single traits hence named
 as STGS i.e. single trait genomic selection. STGS is a comprehensive package
 which gives single step solution for genomic selection based on most
 commonly used statistical methods.

Package: r-cran-sti
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fitdistrplus, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-sti_0.1-1.ca2004.1_all.deb
Size: 30200
MD5sum: 29b2ecc4c6a7cda079cce77e48138df4
SHA1: b6fcbc8600affc055009fa8416047ccd0f8f6102
SHA256: 53c6ec748895fda4860db51fc0d71e0fb8e077063e33cc2f827b90c12c66bb59
SHA512: ee839ec16283dbd48ce065ce65dd98997b1cdb71c74e97f5ec8e84793fbcab299bf4f2eebe28e76d7259aefacee023f126ff9ad733bebaba07485e0b54aaf79d
Homepage: https://cran.r-project.org/package=STI
Description: CRAN Package 'STI' (Calculation of the Standardized Temperature Index)
 A set of functions for computing the Standardized Temperature Index (STI).

Package: r-cran-stickr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gh, r-cran-base64enc, r-cran-fs, r-cran-stringr
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stickr_0.3.1-1.ca2004.1_all.deb
Size: 734128
MD5sum: 5a2882e8454d1d8f17de434064f8f671
SHA1: 475d3f131964874d890f09118730f89374938747
SHA256: 2c73f57d480363efe7f53e766cba7c057d900852461733abb4305285166cdee3
SHA512: 41b00323a9f57429646aeb2770075d4ab83b0dd0a5abe44ec98a7a902d5e71a633c70e8a40bdb06df9a0168ef5aecdba334ea6ec08a21438780bd79a2421a9aa
Homepage: https://cran.r-project.org/package=stickr
Description: CRAN Package 'stickr' (View and Use R Hex Stickers)
 Download and use R hex stickers. Stickers made available in standardized
 locations in GitHub repositories, as well as those in the
 <https://github.com/rstudio/hex-stickers> repository will be available.

Package: r-cran-sticky
Architecture: all
Version: 0.5.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-magrittr, r-cran-testthat, r-cran-data.table, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sticky_0.5.6.1-1.ca2004.1_all.deb
Size: 30392
MD5sum: f1102447596417aca90fc404f990ca5d
SHA1: e3e089a0b28edb767726582868287674679e5fb9
SHA256: a0fa5b96ad27be90945e955c092bff0438d78e11a180bf9f90f58808de3955fe
SHA512: 6d90d501a83bc86788be01ae15aac15cfa8f02b463ea858576071066eb6de289492dd9bd44697a82febc2b20f4798e35296e9c2544cb20c759f18bf540ee74e3
Homepage: https://cran.r-project.org/package=sticky
Description: CRAN Package 'sticky' (Persist Attributes Across Data Operations)
 In base R, object attributes are lost when objects are modified by common
 data operations such as subset, filter, slice, append, extract etc. This
 packages allows objects to be marked as 'sticky' and have attributes
 persisted during these operations or when inserted into or extracted from
 list-like or table-like objects.

Package: r-cran-stickyr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ellipsis, r-cran-generics, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stickyr_0.1.2-1.ca2004.1_all.deb
Size: 37196
MD5sum: 9208818a55579c3ec1fa04501073786b
SHA1: c20a9e7a80b5819cbfd68cb98397c7822c2e11de
SHA256: f496db91bad179ec9ebf6e065bddbd13340e5a46ed756714d0cc6c7f51ed74a5
SHA512: 86f22649b3fd9a9ad99915f6fe57cc15b22aafeed8470af84ba05b08d6ebf9961498d7ab00e013a204d0ae0e467b23ef264fd504eec47f2b48924abb619e11bf
Homepage: https://cran.r-project.org/package=stickyr
Description: CRAN Package 'stickyr' (Data Frames with Persistent Columns and Attributes)
 Provides data frames that hold certain columns and attributes persistently
 for data processing in 'dplyr'.

Package: r-cran-sticr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sticr_1.1.1-1.ca2004.1_all.deb
Size: 124512
MD5sum: 3546439fc5b6985b3873890e2672008a
SHA1: e29e5859dfb5fd750c53c36ea2d47d7d54e1d30d
SHA256: 2e04419b3f1822350eb7cd656e5897b13ff4d605e89e3101c18f8f27368210d2
SHA512: 5979c02ce6c30737be76f64adb1d6cd7bf3f1be3333eeb1b6328ebcedcf37cd15e8f401f1d8ba538fecddf53f861d5293b0b9fda708ed1effbf4852f299e3154
Homepage: https://cran.r-project.org/package=STICr
Description: CRAN Package 'STICr' (Process Stream Temperature, Intermittency, and Conductivity(STIC) Sensor Data)
 A collection of functions for processing raw data from Stream Temperature,
 Intermittency, and Conductivity (STIC) loggers. 'STICr' (pronounced
 "sticker") includes functions for tidying, calibrating, classifying, and
 doing quality checks on data from STIC sensors. Some package functionality
 is described in Wheeler/Zipper et al. (2023) <doi:10.31223/X5636K>.

Package: r-cran-sticsrfiles
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3037
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-rlang, r-cran-rstudioapi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-xml, r-cran-xml2, r-cran-xslt
Suggests: r-cran-covr, r-cran-formatr, r-cran-knitr, r-cran-learnr, r-cran-readxl, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sticsrfiles_1.6.0-1.ca2004.1_all.deb
Size: 1867952
MD5sum: 922a84357bb17711086c645a45c744b2
SHA1: 616f3419d93682bea13e08e226978ba4500ef879
SHA256: 45e62bd7a509672ba8ddde93b8bddf6bd0debdbc53fa7d420c4917937e120d66
SHA512: 752c012a74dbdd92159ac28eed63c0a30c9580acaba34b0027b42e49b2075925fac3bcab2935ddfb31865f91f376ca8ccf88d9015a7cfd0536a8d67627e80f80
Homepage: https://cran.r-project.org/package=SticsRFiles
Description: CRAN Package 'SticsRFiles' (Read and Modify 'STICS' Input/Output Files)
 Manipulating input and output files of the 'STICS' crop model. Files are
 either 'JavaSTICS' XML files or text files used by the model 'fortran'
 executable. Most basic functionalities are reading or writing parameter
 names and values in both XML or text input files, and getting data from
 output files.  Advanced functionalities include XML files generation from
 XML templates and/or spreadsheets, or text files generation from XML files
 by using 'xslt' transformation.

Package: r-cran-stilt
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1377
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields
Filename: pool/dists/focal/main/r-cran-stilt_1.3.1-1.ca2004.1_all.deb
Size: 1321552
MD5sum: b9d804278f4160a64a1b246739df99ce
SHA1: de88be79423169c351865d3755c421a72b8dfb4c
SHA256: ae9b190d7cd33bf8aa2c5d51ebcfa5738defd5d137a2947bc2be9b46daec88a8
SHA512: 5ab6589918ef217c6842dfb63f1f8c4fbb31e53e5f596c64062dd1ca77feb3c4fbbcf18241248db0ab45c1422b9b98c4fec292dde2af73a1ca19f12fc8b3b9c9
Homepage: https://cran.r-project.org/package=stilt
Description: CRAN Package 'stilt' (Separable Gaussian Process Interpolation (Emulation))
 Functions for simplified emulation of time series computer model output in
 model parameter space using Gaussian processes. Stilt can be used more
 generally for Kriging of spatio-temporal fields. There are functions to
 predict at new parameter settings, to test the emulator using
 cross-validation (which includes information on 95% confidence interval
 empirical coverage), and to produce contour plots over 2D slices in model
 parameter space.

Package: r-cran-stim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lavaan, r-cran-ryacas
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stim_1.0.0-1.ca2004.1_all.deb
Size: 58872
MD5sum: 663c79b0128e2f463df73a4889206ed3
SHA1: b33bc782329e31c5f39f7803d3680804883b77b6
SHA256: d7027b0896a0e5ba479f89a1d8f89c018f8228462ad7f8bb3458291cc26669eb
SHA512: 4623723d1d2671810830695ec66f65bba25cf77ce6ddbe75d1fae1ccc9707254d1d5cc44f7cb08528bd7f2348f6dd2fe7f76855fe491c34f006034a375c75711
Homepage: https://cran.r-project.org/package=stim
Description: CRAN Package 'stim' (Incorporating Stability Information into Cross-SectionalEstimates)
 The goal of 'stim' is to provide a function for estimating the Stability
 Informed Model. The Stability Informed Model integrates stability
 information (how much a variable correlates with itself in the future) into
 cross-sectional estimates. Wysocki and Rhemtulla (2022)
 <https://psyarxiv.com/vg5as>.

Package: r-cran-stinepack
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stinepack_1.5-1.ca2004.1_all.deb
Size: 32396
MD5sum: 80af4e35b95b5e024a098cccbaebc1aa
SHA1: 38e0a42982cc8c0675fed630c663e0de4c9efbdf
SHA256: fc63e10b2731f761bf497467d2b42d75dd16039056e7f51540083571f31ce3fb
SHA512: 753641c43cbcc433d2762759ebdb1e7860bde9e046d29fb8a027f54c1fcdc9ff11abbd39194868fce98958149f055883fa1a657bce216a5c9d654ec689c4fd67
Homepage: https://cran.r-project.org/package=stinepack
Description: CRAN Package 'stinepack' (Stineman, a Consistently Well Behaved Method of Interpolation)
 A consistently well behaved method of interpolation based on piecewise
 rational functions using Stineman's algorithm.

Package: r-cran-stlarima
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-stlarima_0.1.0-1.ca2004.1_all.deb
Size: 15212
MD5sum: 800dfbd009ab70c9cf6e32a557fa5894
SHA1: 32d2571adb92245c625af335ff98b5fe3fea077d
SHA256: 93a3e09531514f4ea9b06c7ca3d01b12c722cd87983339e6b0a88f5d84ac9a7a
SHA512: 12205caefe11fe561048335bddb2dd1d171a7525d6b0a8521c9f0f782fe8c6d6d82c5df25a9729b7435f79669f7f91a89cfdb5a78d2ba3527674b94719959dbb
Homepage: https://cran.r-project.org/package=stlARIMA
Description: CRAN Package 'stlARIMA' (STL Decomposition and ARIMA Hybrid Forecasting Model)
 Univariate time series forecasting with STL decomposition based auto
 regressive integrated moving average (ARIMA) hybrid model. For method
 details see Xiong T, Li C, Bao Y (2018). <doi:10.1016/j.neucom.2017.11.053>.

Package: r-cran-stlcsb
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1682
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-rvest, r-cran-sf, r-cran-stringr, r-cran-tibble, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-mapview, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stlcsb_0.1.2-1.ca2004.1_all.deb
Size: 1221200
MD5sum: 48f74eddbd5c3ae0a6ac514e831fbbba
SHA1: 92ba9ff8ab6c96cfd3339f78e0af0d4bdb43da11
SHA256: 00cc13b4875af8d62e1e833e25fdae9ffa491d391042427cbf30cbd5960a53db
SHA512: ba39c56438e09b2c59f7eae365d4337584ac7510c6dcd325aa1cdf779af860494f84997dc24688637011dd8b23b5f7173fea99fa37733430cd216ea96021bd57
Homepage: https://cran.r-project.org/package=stlcsb
Description: CRAN Package 'stlcsb' (Tidy Manipulation of CSB Data for St. Louis)
 The Citizens' Service Bureau of the City of St. Louis is a clearing house
 for non-emergency service requests. This package provides functions for
 downloading, categorizing problem requests, cleaning and subsetting CSB
 data, and projecting the data using the x and y coordinates included with
 CSB data releases.

Package: r-cran-stlelm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-forecast, r-cran-nnfor
Filename: pool/dists/focal/main/r-cran-stlelm_0.1.1-1.ca2004.1_all.deb
Size: 15140
MD5sum: 94995e74d995bdeef5b3c591e0bb5b8c
SHA1: 043abcfd34f885935c228e2205b9fbf82e2373fa
SHA256: 1dbae6ce63ba67883595e911918127a223383de68a224567718f0d758de6c0b8
SHA512: 2d36f0e628e30aa245f9072834a665aa86011087520708108a26a17aae6493c6c5da67c4b999fcab9906c563c9537e3fbab7b97ed1ed93ece2df5e5b43674126
Homepage: https://cran.r-project.org/package=stlELM
Description: CRAN Package 'stlELM' (Hybrid Forecasting Model Based on STL Decomposition and ELM)
 Univariate time series forecasting with STL decomposition based Extreme
 Learning Machine hybrid model. For method details see Xiong T, Li C, Bao Y
 (2018). <doi:10.1016/j.neucom.2017.11.053>.

Package: r-cran-stlnpp
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-spatstat, r-cran-spatstat.univar, r-cran-spatstat.geom, r-cran-spatstat.random, r-cran-spatstat.explore, r-cran-spatstat.linnet
Suggests: r-cran-plot3d, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-stlnpp_0.4.0-1.ca2004.1_all.deb
Size: 176904
MD5sum: 8495b68e5c561cb60d4a9e5c23b5f9ff
SHA1: d2e17f88df86c553ab57c0b99d95ab7d1a521fea
SHA256: 9df42e6a25379d00b0c0ac1946f97777a9eb978a41d35e4b3ffaef10d1c597cb
SHA512: 4a67bcebad691b286cda238ced2dde96d9fbaff7a37f3e91555d337a08fcbd32bbd6da5f4f4b73b43c8848fa80d71293fb04db17dce1831bd12d95e289013423
Homepage: https://cran.r-project.org/package=stlnpp
Description: CRAN Package 'stlnpp' (Spatio-Temporal Analysis of Point Patterns on Linear Networks)
 Statistical analysis of spatio-temporal point processes on linear networks.
 This packages provides tools to visualise and analyse spatio-temporal point
 patterns on linear networks using first- and second-order summary
 statistics.

Package: r-cran-stltdnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-nnfor
Filename: pool/dists/focal/main/r-cran-stltdnn_0.1.0-1.ca2004.1_all.deb
Size: 15724
MD5sum: c35c6b8b434a28841055620ee11df3a0
SHA1: 33b6ee5499f20ec75d17566d174a24fddca8b2f9
SHA256: 2f2b7338d42a591cfd113e034d55b8b27821c727659fc1fce62a1a1026c33f4f
SHA512: 0d7afec72218984b3c85f0276e1a9c1793a6d2004d4ae7db510cb605fa81da7df261653cc489632b93dcf9d11d1638410f967ee1f4e5d6cc192a8b4c80ae7585
Homepage: https://cran.r-project.org/package=stlTDNN
Description: CRAN Package 'stlTDNN' (STL Decomposition and TDNN Hybrid Time Series Forecasting)
 Implementation of hybrid STL decomposition based time delay neural network
 model for univariate time series forecasting. For method details see Jha G
 K, Sinha, K (2014). <doi:10.1007/s00521-012-1264-z>, Xiong T, Li C, Bao Y
 (2018). <doi:10.1016/j.neucom.2017.11.053>.

Package: r-cran-stmcorrviz
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-stm, r-cran-tm, r-cran-snowballc
Filename: pool/dists/focal/main/r-cran-stmcorrviz_1.3-1.ca2004.1_all.deb
Size: 267224
MD5sum: a9c2496ba024b538f46d12452339181b
SHA1: 370d071e4e8a77366a2e3058cd8b5327f4d02c19
SHA256: e8342df6b0223058d8609ae0f26edaf3b4270ea564026e73bfd7e3a157400cc8
SHA512: 444b5a25a26e114728c4a1420dccfa2c215b79e9b5d7f9b53952af2649c8df05b3769f750bb0681bcb86e0d4de8a8d3d4b9aa094a191fef62311a9a40fd74e56
Homepage: https://cran.r-project.org/package=stmCorrViz
Description: CRAN Package 'stmCorrViz' (A Tool for Structural Topic Model Visualizations)
 Generates an interactive visualization of topic correlations/ hierarchy in a
 Structural Topic Model (STM) of Roberts, Stewart, and Tingley.  The package
 performs a hierarchical clustering of topics which are then exported to a
 JSON object and visualized using D3.

Package: r-cran-stmedianpolish
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 892
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-reshape2, r-cran-sp, r-cran-spacetime, r-cran-zoo, r-cran-nabor, r-cran-gstat
Filename: pool/dists/focal/main/r-cran-stmedianpolish_0.2-1.ca2004.1_all.deb
Size: 866944
MD5sum: 302d645c49b31317f5af4c266d59c613
SHA1: f8169372834547ac2dcb83487749316299dfa2be
SHA256: af9344a03ce9b3bc6b06238e34819b9e04f3b247cfd52c0437630ed45d635a30
SHA512: 01d1501b90fde1bd86bb2a986c21a0eff0eaac2eb975ec63728a3facab6929b8cd90938acc814ab8b050c60e63ad866c77a70447492f8d5cce84f4779723e77e
Homepage: https://cran.r-project.org/package=STMedianPolish
Description: CRAN Package 'STMedianPolish' (Spatio-Temporal Median Polish)
 Analyses spatio-temporal data, decomposing data in n-dimensional arrays and
 using the median polish technique.

Package: r-cran-stmgp
Architecture: all
Version: 1.0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1674
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-stmgp_1.0.4.1-1.ca2004.1_all.deb
Size: 447140
MD5sum: 182027a6cdbde1a959d7aca2863e425b
SHA1: dff2a8df2d9de1874af18e40c6f14d5836ab2589
SHA256: a479132e4212a3a5d6897733caf4709089f3e08b5defa9f46ef926997817616c
SHA512: c7ba17c2929a6bd338d88c2862fafa680d174072d5728b808d0280caa5439e25b7877cb9ca436771b5dad2a1d061588892f45ed248d6930b37aa07eb0e0b7c01
Homepage: https://cran.r-project.org/package=stmgp
Description: CRAN Package 'stmgp' (Rapid and Accurate Genetic Prediction Modeling for Genome-WideAssociation or Whole-Genome Sequencing Study Data)
 Rapidly build accurate genetic prediction models for genome-wide association
 or whole-genome sequencing study data by smooth-threshold multivariate
 genetic prediction (STMGP) method. Variable selection is performed using
 marginal association test p-values with an optimal p-value cutoff selected
 by Cp-type criterion. Quantitative and binary traits are modeled
 respectively via linear and logistic regression models. A function that
 works through PLINK software (Purcell et al. 2007 <DOI:10.1086/519795>,
 Chang et al. 2015 <DOI:10.1186/s13742-015-0047-8>)
 <https://www.cog-genomics.org/plink2> is provided. Covariates can be
 included in regression model.

Package: r-cran-stmgui
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stm, r-cran-markdown, r-cran-shinyjs, r-cran-shinythemes, r-cran-tm, r-cran-shiny, r-cran-shinybs
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stmgui_0.1.6-1.ca2004.1_all.deb
Size: 67872
MD5sum: 9afb1767c8732ea6302e2c4f4d4c64fa
SHA1: 71f4b770c76af19fea70cb3d54ab3fb77ddd335d
SHA256: e730935e4fc8086ea6c3f91399442cccb817da2cc0039e0fdb5a5dec9a86fd63
SHA512: 8f1d38d9a37875a0b5cab011bdf21f5d103091e3bbd758a01654c4155d92e775ff14ee837d6dd325ab39fcf1559490cc2e006dfabb98a716096cb81e7c0ee272
Homepage: https://cran.r-project.org/package=stmgui
Description: CRAN Package 'stmgui' (Shiny Application for Creating STM Models)
 Provides an application that acts as a GUI for the 'stm' text analysis
 package.

Package: r-cran-stminsights
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stm, r-cran-tidygraph, r-cran-ggraph, r-cran-igraph, r-cran-ggrepel, r-cran-shiny, r-cran-shinybs, r-cran-shinydashboard, r-cran-shinyjs, r-cran-ggplot2, r-cran-purrr, r-cran-stringr, r-cran-dplyr, r-cran-tibble, r-cran-dt, r-cran-readr, r-cran-huge, r-cran-scales
Suggests: r-cran-quanteda, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stminsights_0.4.3-1.ca2004.1_all.deb
Size: 326276
MD5sum: 1c653a021a75968645c77004f28649d3
SHA1: ff36364f7c5b87236eb27688f84b6ec6d0fa7bb1
SHA256: bfd68f702d49888e5558b893168f99e9f19b339ea2b6740da3725b16bd0a42d7
SHA512: 75f7e404e1057daef8a30d82971a772e4beda3370a42859ae701079fba77b4c7e8d2e6c254d99d535e450814de7639ec851e4282c8885caa553684b3ab28853d
Homepage: https://cran.r-project.org/package=stminsights
Description: CRAN Package 'stminsights' (A 'Shiny' Application for Inspecting Structural Topic Models)
 This app enables interactive validation, interpretation and visualization of
 structural topic models from the 'stm' package by Roberts and others (2014)
 <doi:10.1111/ajps.12103>. It also includes helper functions for model
 diagnostics and extracting data from effect estimates.

Package: r-cran-stmomo
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gnm, r-cran-mass, r-cran-rootsolve, r-cran-fanplot, r-cran-reshape2, r-cran-fields, r-cran-rcolorbrewer
Suggests: r-cran-demography, r-cran-knitr, r-cran-xtable, r-cran-mts
Filename: pool/dists/focal/main/r-cran-stmomo_0.4.1-1.ca2004.1_all.deb
Size: 971472
MD5sum: bccaafb868b15a474cb2c67dda4c5a06
SHA1: 12da4174f2067c1873ff2942fd6ab2cec7e58f63
SHA256: ecdbe2d0d8b6b87dff28582482a223427dbe796fbdc380e7c0226c8396cce28e
SHA512: 9ca13b08d0a129bca36626804aabacbf8d2e69a4669e1cf50fb0a20f52b1ee9015be09018940d2ea2aaec2c6dc797cb3f92b18d1b42a9d59decd99e26f44c75e
Homepage: https://cran.r-project.org/package=StMoMo
Description: CRAN Package 'StMoMo' (Stochastic Mortality Modelling)
 Implementation of the family of generalised age-period-cohort stochastic
 mortality models. This family of models encompasses many models proposed in
 the actuarial and demographic literature including the Lee-Carter (1992)
 <doi:10.2307/2290201> and the Cairns-Blake-Dowd (2006)
 <doi:10.1111/j.1539-6975.2006.00195.x> models.  It includes functions for
 fitting mortality models, analysing their goodness-of-fit and performing
 mortality projections and simulations.

Package: r-cran-stmotif
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stmotif_2.0.2-1.ca2004.1_all.deb
Size: 134872
MD5sum: 1e9722ea7c85919b68027b07a0a99743
SHA1: 8e4cab7cc13e51cfa506004c4d3a4eace68b72e3
SHA256: 2d41162fd9b4abf537ffb5f104e5847b56ba3cce2a6926c4b16caeab7aec4a92
SHA512: 2a677931f32ca55a1ce3f32bfe712f1109806467e6dccb47e1672802967ac1a85a3af858daddec7133f8981923120fd0166d7a9f4850696ee86e62e1f4f36671
Homepage: https://cran.r-project.org/package=STMotif
Description: CRAN Package 'STMotif' (Discovery of Motifs in Spatial-Time Series)
 Allow to identify motifs in spatial-time series. A motif is a previously
 unknown subsequence of a (spatial) time series with relevant number of
 occurrences. For this purpose, the Combined Series Approach (CSA) is used.

Package: r-cran-stmr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3499
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggfittext, r-cran-ggplot2, r-cran-magrittr, r-cran-minpack.lm, r-cran-nlme, r-cran-quantreg, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stmr_0.1.6-1.ca2004.1_all.deb
Size: 2867924
MD5sum: 08bf0b7240e6d17eb6b4cf72979a9e9e
SHA1: 0d4363a57f8fd1976efd2c66cb242f84651e05cc
SHA256: b2b6f90614eb9b9fd9c29cedc00eaf564f74c50c16d9d52fefddd3d9bb01678b
SHA512: 6f35e35660152fc7c9fe61adb58033580ac473a18a009f910f9e62bdb980b0190184b55eb224f0543476cac8cae78c68ee66db5f7075f0419103401209601b3e
Homepage: https://cran.r-project.org/package=STMr
Description: CRAN Package 'STMr' (Strength Training Manual R-Language Functions)
 Strength training prescription using percent-based approach requires
 numerous computations and assumptions. 'STMr' package allow users to
 estimate individual reps-max relationships, implement various progression
 tables, and create numerous set and rep schemes. The 'STMr' package is
 originally created as a tool to help writing Jovanović M. (2020) Strength
 Training Manual <ISBN:979-8604459898>.

Package: r-cran-stocc
Architecture: all
Version: 1.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm, r-cran-coda, r-cran-matrix, r-cran-fields, r-cran-rarpack
Filename: pool/dists/focal/main/r-cran-stocc_1.31-1.ca2004.1_all.deb
Size: 113280
MD5sum: 234b12233e33aea5e9d7096cb0d138d8
SHA1: 33d23452cb4164f4e4b9f54b8cbd1ffa5135c95b
SHA256: e3b97ae43e37276cc7a3c7250cd5031637a033e5e886f48d3c29422889ab3936
SHA512: 304a9068debc672b49e6297d84792f34b7be5d16aed21378eac18151dd7225203dc0d481f0ffba7e854c38ab6ff9b2e93207d97e04cea191c89b34f5d3725737
Homepage: https://cran.r-project.org/package=stocc
Description: CRAN Package 'stocc' (Fit a Spatial Occupancy Model via Gibbs Sampling)
 Fit a spatial-temporal occupancy models using a probit formulation instead
 of a traditional logit model.

Package: r-cran-stochlab
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6847
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-logr, r-cran-magrittr, r-cran-msm, r-cran-pracma, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-spelling, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stochlab_1.1.2-1.ca2004.1_all.deb
Size: 6875328
MD5sum: 68736b0bd895e8dc3c6bf6235a2f1b71
SHA1: 07c5bfc307341185d6e70370f526416f9d77b863
SHA256: 6585f9f79a525c80706fa5e0d29e7b876ee3c0147109e2e7553a9702d1d03370
SHA512: 74b1df21bc63ec1328582a56ddbcdfe304406574c30e09c1fe1a16b8898f9554106cf41cd3bd46f9c8d493dd6a341b9701d2b3f763abfbb1f68eff12537489b5
Homepage: https://cran.r-project.org/package=stochLAB
Description: CRAN Package 'stochLAB' (Stochastic Collision Risk Model)
 Collision Risk Models for avian fauna (seabird and migratory birds) at
 offshore wind farms. The base deterministic model is derived from Band
 (2012)
 <https://tethys.pnnl.gov/publications/using-collision-risk-model-assess-bird-collision-risks-offshore-wind-farms>.
 This was further expanded on by Masden (2015) <doi:10.7489/1659-1> and code
 used here is heavily derived from this work with input from Dr A. Cook at
 the British Trust for Ornithology. These collision risk models are useful
 for marine ornithologists who are working in the offshore wind industry,
 particularly in UK waters. However, many of the species included in the
 stochastic collision risk models can also be found in the North Atlantic in
 the United States and Canada, and could be applied there.

Package: r-cran-stochprofml
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-stochprofml_2.0.3-1.ca2004.1_all.deb
Size: 318096
MD5sum: 12cdd383b7ef79a22c937deb25b299f8
SHA1: 615eb96ac8c19c8decef459d46ed1c378390da8f
SHA256: ee3996be2e787f3678c3d9e9cac91de44072d85f502a2c22c1c1cb0d3140c702
SHA512: 648255590a29726f8a31f394ae80e885912ef49dd6bfb07ac4d7d8995f3a9b036489f3ac7d5e5d706f36f87ab599cea4f2390eb413215e834016a9feb8cd5074
Homepage: https://cran.r-project.org/package=stochprofML
Description: CRAN Package 'stochprofML' (Stochastic Profiling using Maximum Likelihood Estimation)
 New Version of the R package originally accompanying the paper
 "Parameterizing cell-to-cell regulatory heterogeneities via stochastic
 transcriptional profiles" by Sameer S Bajikar, Christiane Fuchs, Andreas
 Roller, Fabian J Theis and Kevin A Janes (PNAS 2014, 111(5), E626-635
 <doi:10.1073/pnas.1311647111>). In this paper, we measure expression
 profiles from small heterogeneous populations of cells, where each cell is
 assumed to be from a mixture of lognormal distributions. We perform maximum
 likelihood estimation in order to infer the mixture ratio and the parameters
 of these lognormal distributions from the cumulated expression measurements.
 The main difference of this new package version to the previous one is that
 it is now possible to use different n's, i.e. a dataset where each tissue
 sample originates from a different number of cells.  We used this on
 pheno-seq data, see: Tirier, S.M., Park, J., Preusser, F. et al. Pheno-seq -
 linking visual features and gene expression in 3D cell culture systems. Sci
 Rep 9, 12367 (2019) <doi:10.1038/s41598-019-48771-4>).

Package: r-cran-stockanalyst
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 222
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stockanalyst_1.0.1-1.ca2004.1_all.deb
Size: 178968
MD5sum: 8bbc0ca4a3be1a327ca050af477c50bb
SHA1: d96335b972f16eeb68c2c2bc7112c3f6b19671d7
SHA256: c08b6cda1eca29cbc2260c7096e7f4047967a5af7835d8e4d3409b255708479c
SHA512: 42f3b6498adaa96c07692a8475c0fb62a6c4312e071b548936fd07b117a6de685d8e8466ab244111722af4f5dceeaa8d87e983213770b39371bc069e62c893d6
Homepage: https://cran.r-project.org/package=stockAnalyst
Description: CRAN Package 'stockAnalyst' (Equity Valuation using Methods of Fundamental Analysis)
 Methods of Fundamental Analysis for Valuation of Equity included here serve
 as a quick reference for undergraduate courses on Stock Valuation and
 Chartered Financial Analyst Levels 1 and 2 Readings on Equity Valuation.
 Jerald E. Pinto (“Equity Asset Valuation (4th Edition)”, 2020, ISBN:
 9781119628194).  Chartered Financial Analyst Institute ("Chartered Financial
 Analyst Program Curriculum 2020 Level I Volumes 1-6. (Vol. 4, pp. 445-491)",
 2019, ISBN: 9781119593577).  Chartered Financial Analyst Institute
 ("Chartered Financial Analyst Program Curriculum 2020 Level II Volumes 1-6.
 (Vol. 4, pp. 197-447)", 2019, ISBN: 9781119593614).

Package: r-cran-stockdistfit
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1530
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-fgarch, r-cran-fbasics, r-cran-fitdistrplus, r-cran-xts, r-cran-magrittr, r-cran-zoo, r-cran-quantmod, r-cran-ghyp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stockdistfit_1.0.0-1.ca2004.1_all.deb
Size: 822016
MD5sum: 827dd2f652806946e40836cce14e2b79
SHA1: d3a33bbfe11f6fea83f9363e9f66f0068f6c03b5
SHA256: fc76996900cbfe72f0f5a25d57fd7798d4cdf28dff73a9ec0f6b2d2bb5a9de68
SHA512: 7e85f9d245051098e2aac1bec4121acb58e6dbaaa6d7506c18e2d5f6a0e324e06f83594748db060d30568c9a98a2ec176aaf3cba90ac979a7b3d2095c7445073
Homepage: https://cran.r-project.org/package=StockDistFit
Description: CRAN Package 'StockDistFit' (Fit Stock Price Distributions)
 The 'StockDistFit' package provides functions for fitting probability
 distributions to stock price data. The package uses maximum likelihood
 estimation to find the best-fitting distribution for a given stock. It also
 offers a function to fit several distributions to one or more assets and
 compare the distribution with the Akaike Information Criterion (AIC) and
 then pick the best distribution. References are as follows: Siew et al.
 (2008)
 <https://www.jstage.jst.go.jp/article/jappstat/37/1/37_1_1/_pdf/-char/ja>
 and Benth et al. (2008)
 <https://books.google.co.ke/books?hl=en&lr=&id=MHNpDQAAQBAJ&oi=fnd&pg=PR7&dq=Stochastic+modeling+of+commodity+prices+using+the+Variance+Gamma+(VG)+model.+&ots=YNIL2QmEYg&sig=XZtGU0lp4oqXHVyPZ-O8x5i7N3w&redir_esc=y#v=onepage&q&f=false>.

Package: r-cran-stodom
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-ggplot2, r-cran-pracma, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stodom_0.0.1-1.ca2004.1_all.deb
Size: 48588
MD5sum: ff21bb231f91f5821322a0a08f73a961
SHA1: 348e19af5790c69c4db2d9f6571d4a1ea806e557
SHA256: 7ab05cab782e6a780b040b167a08371609bf7152a8a38de9d6c5e79cc6edaa83
SHA512: 122946067cb8952ef3c29404cff594883e3537cde4b40a65690c3551b716c8c83f5c40bfed1eff7711c7fdcb01e7715a83b78ea1ab1ce3153481768706e01af3
Homepage: https://cran.r-project.org/package=stodom
Description: CRAN Package 'stodom' (Estimating Consistent Tests for Stochastic Dominance)
 Stochastic dominance tests help ranking different distributions. The package
 implements the consistent test for stochastic dominance by Barrett and
 Donald (2003) <doi:10.1111/1468-0262.00390>. Specifically, it implements
 Barrett and Donald's Kolmogorov-Smirnov type tests for first- and
 second-order stochastic dominance based on bootstrapping 2 and 1.

Package: r-cran-stoichcalc
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stoichcalc_1.1-5-1.ca2004.1_all.deb
Size: 37464
MD5sum: 39b9cfacabad8ac2f673f93fa7c2efb8
SHA1: 22696b48e8e2bdcbe6a99d4a609b28cef5b2e1b2
SHA256: 6a54b650cf094bc7a0ddb07639cdfbe7558c34f199f76e6e370a35281721ea6e
SHA512: 423eeb4a3c93318f953a7dc7afbe1f40fa8fa9d5f07caa0438c7711e1532ad58588457f39cd04510f5e3c200736dbb97249e10c961a2ae8531a38b2422099e7c
Homepage: https://cran.r-project.org/package=stoichcalc
Description: CRAN Package 'stoichcalc' (R Functions for Solving Stoichiometric Equations)
 Given a list of substance compositions, a list of substances involved in a
 process, and a list of constraints in addition to mass conservation of
 elementary constituents, the package contains functions to build the
 substance composition matrix, to analyze the uniqueness of process
 stoichiometry, and to calculate stoichiometric coefficients if process
 stoichiometry is unique.  (See Reichert, P. and Schuwirth, N., A generic
 framework for deriving process stoichiometry in enviromental models,
 Environmental Modelling and Software 25, 1241-1251, 2010 for more details.)

Package: r-cran-stokes
Architecture: all
Version: 1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1346
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-permutations, r-cran-partitions, r-cran-disordr, r-cran-spray
Suggests: r-cran-knitr, r-cran-deriv, r-cran-testthat, r-cran-markdown, r-cran-rmarkdown, r-cran-quadform, r-cran-magrittr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stokes_1.2-3-1.ca2004.1_all.deb
Size: 323328
MD5sum: 3f5b15c4f2328988f1182a9d5c9a32c7
SHA1: fad27160ade265435edd5e5cff96d279ba22fe4f
SHA256: 68cdab879fa429998dc251cb502cfe570af7494e10c761662b99eb6b2b7fbfa8
SHA512: 480666348230fb3a62a0daf79fcae7cd8141293d091ed100c16dbb2bd8be827d99d18ebbeafbe80d6b73b50a88a994cea8bf52c75b38aa0b354bfae686757da0
Homepage: https://cran.r-project.org/package=stokes
Description: CRAN Package 'stokes' (The Exterior Calculus)
 Provides functionality for working with tensors, alternating forms, wedge
 products, Stokes's theorem, and related concepts from the exterior calculus.
 Uses 'disordR' discipline (Hankin, 2022, <doi:10.48550/arXiv.2210.03856>).
 The canonical reference would be M. Spivak (1965, ISBN:0-8053-9021-9)
 "Calculus on Manifolds".  To cite the package in publications please use
 Hankin (2022) <doi:10.48550/arXiv.2210.17008>.

Package: r-cran-stopdetection
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 365
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-geodist, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stopdetection_0.1.2-1.ca2004.1_all.deb
Size: 290172
MD5sum: d56b4c71e3614d2b9ec6100091b5a03b
SHA1: 6c75c69ad0d13a5965dcd8c13c9db987e5d091c7
SHA256: 80ce36a7d9cf234e42f3524cc462b992b6ebd8b8f77972383aa50f1c083315e6
SHA512: 004d314998a68b49bf63d7492b7dc1a878bd2099658f4b5afb3153d2759a4ec3d346fb7b03d2ed7d4586980626beb338040bf4bad7d28dad89b3f48755dddc78
Homepage: https://cran.r-project.org/package=stopdetection
Description: CRAN Package 'stopdetection' (Stop Detection in Timestamped Trajectory Data usingSpatiotemporal Clustering)
 Trajectory data formed by human or animal movement is often marked by
 periods of movement interspersed with periods of standing still. It is often
 of interest to researchers to separate geolocation trajectories of
 latitude/longitude points by clustering consecutive locations to produce a
 model of this behavior. This package implements the Stay Point detection
 algorithm originally described in Ye (2009) <doi:10.1109/MDM.2009.11> that
 uses time and distance thresholds to characterize spatial regions as
 'stops'. This package also implements the concept of merging described in
 Montoliu (2013) <doi:10.1007/s11042-011-0982-z> as stay point region
 estimation, which allows for clustering of temporally adjacent stops for
 which distance between the midpoints is less than the provided threshold.
 GPS-like data from various sources can be used, but the temporal thresholds
 must be considered with respect to the sampling interval, and the spatial
 thresholds must be considered with respect to the measurement error.

Package: r-cran-stopes
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mass, r-cran-cvtools, r-cran-glmnet, r-cran-changepoint
Filename: pool/dists/focal/main/r-cran-stopes_0.2-1.ca2004.1_all.deb
Size: 44128
MD5sum: b7cfe2ea8051d6282267a4ce49f82e6d
SHA1: 5907504e10e677b0ee13003289a72c1291c1501c
SHA256: 4ff488a53dc0586031e01d39b70167941bc98ab589723c7287033febd0c3af47
SHA512: fd47207a24bb69f398590884fd206424d55322e3ddb6707c8c3a29e4fc50106f4378cd1ecc05f2d377de43b713cec233f6c7716a8d11cafc2a02e8ac74c62869
Homepage: https://cran.r-project.org/package=STOPES
Description: CRAN Package 'STOPES' (Selection Threshold Optimized Empirically via Splitting)
 Implements variable selection procedures for low to moderate size
 generalized linear regressions models. It includes the STOPES functions for
 linear regression (Capanu M, Giurcanu M, Begg C, Gonen M, Optimized variable
 selection via repeated data splitting, Statistics in Medicine, 2020,
 19(6):2167-2184) as well as subsampling based optimization methods for
 generalized linear regression models (Marinela Capanu, Mihai Giurcanu, Colin
 B Begg, Mithat Gonen, Subsampling based variable selection for generalized
 linear models).

Package: r-cran-stopp
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1850
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kernsmooth, r-cran-mass, r-cran-fields, r-cran-optimx, r-cran-plot3d, r-cran-sparr, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.linnet, r-cran-spatstat.random, r-cran-splancs, r-cran-spatstat.model, r-cran-spatstat.utils, r-cran-stlnpp, r-cran-stpp, r-cran-mgcv, r-cran-spatstat.univar
Filename: pool/dists/focal/main/r-cran-stopp_0.2.4-1.ca2004.1_all.deb
Size: 1830380
MD5sum: 65f2066f00f74ec1d9377ec61868abc9
SHA1: 62b68495fb39acb7da54b9ffbb69f758cd31a4fb
SHA256: d3725a653fc3ad45ebf0f0f4e27bdb13cc4e332ba432a8ac7fbd1288ee9697fd
SHA512: e6393e21407aa403daa042e04becd43cef5a4bd57db2eeb1edc08e77e5d1efe94d473d5f201c6610479988b0292b742ab84b6c928b740bddb1fb948708275d70
Homepage: https://cran.r-project.org/package=stopp
Description: CRAN Package 'stopp' (Spatio-Temporal Point Pattern Methods, Model Fitting,Diagnostics, Simulation, Local Tests)
 Toolbox for different kinds of spatio-temporal analyses to be performed on
 observed point patterns, following the growing stream of literature on point
 process theory. This R package implements functions to perform different
 kinds of analyses on point processes, proposed in the papers (Siino,
 Adelfio, and Mateu 2018<doi:10.1007/s00477-018-1579-0>; Siino et al.
 2018<doi:10.1002/env.2463>; Adelfio et al.
 2020<doi:10.1007/s00477-019-01748-1>; D’Angelo, Adelfio, and Mateu
 2021<doi:10.1016/j.spasta.2021.100534>; D’Angelo, Adelfio, and Mateu
 2022<doi:10.1007/s00362-022-01338-4>; D’Angelo, Adelfio, and Mateu
 2023<doi:10.1016/j.csda.2022.107679>). The main topics include modeling,
 statistical inference, and simulation issues on spatio-temporal point
 processes on Euclidean space and linear networks.

Package: r-cran-stoppingrule
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pracma, r-cran-matrixstats
Filename: pool/dists/focal/main/r-cran-stoppingrule_0.5.2-1.ca2004.1_all.deb
Size: 123404
MD5sum: a9d805ff277c22b8b1935132af4809b3
SHA1: 95b5664eec59a920b0c23598506de30086885838
SHA256: 6f55b5ad7617d9c5be1a43024ec4370adf39ced681e83f6805524e994022540f
SHA512: 0bcae777bb8a7f3420023ec6296ee3476cd058c89c58366581fb59e3c2c005267080e180a81e90ca72dd8b273eb2931337336944e00e8c85eb41ff6b1062ffa6
Homepage: https://cran.r-project.org/package=stoppingrule
Description: CRAN Package 'stoppingrule' (Create and Evaluate Stopping Rules for Safety Monitoring)
 Provides functions for creating, displaying, and evaluating stopping rules
 for safety monitoring in clinical studies.

Package: r-cran-stops
Architecture: all
Version: 1.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-smacofx, r-cran-acepack, r-cran-clue, r-cran-cmaes, r-cran-cordillera, r-cran-dfoptim, r-cran-energy, r-cran-minerva, r-cran-nloptr, r-cran-pomp, r-cran-pso, r-cran-registry, r-cran-scagnostics, r-cran-smacof, r-cran-tgp, r-cran-vegan
Suggests: r-cran-r.rsp, r-cran-diceoptim, r-cran-dicekriging
Filename: pool/dists/focal/main/r-cran-stops_1.9-1-1.ca2004.1_all.deb
Size: 694400
MD5sum: a7848b1d1b4a5ba0de4ccd9d4c840278
SHA1: 5e6c17051baefc7bf64ee1ce067d2e632f7038df
SHA256: 666c5dfbefe38e9bab8207489407f73351e473360a94e85b9a6abafd7ca0170a
SHA512: 6bce6af6ffb0879c6375d67ade772f1cdd98a81ce8b498cff5cf14d31aafe6aa37d1c24828872ea2845c5783e15dca89bc7179a70edd08c7d7ee6edda1c60f2f
Homepage: https://cran.r-project.org/package=stops
Description: CRAN Package 'stops' (Structure Optimized Proximity Scaling)
 Methods that use flexible variants of multidimensional scaling (MDS) which
 incorporate parametric nonlinear distance transformations and trade-off the
 goodness-of-fit fit with structure considerations to find optimal
 hyperparameters, also known as structure optimized proximity scaling (STOPS)
 (Rusch, Mair & Hornik, 2023,<doi:10.1007/s11222-022-10197-w>). The package
 contains various functions, wrappers, methods and classes for fitting,
 plotting and displaying different 1-way MDS models with ratio, interval,
 ordinal optimal scaling in a STOPS framework. These cover essentially the
 functionality of the package smacofx, including Torgerson (classical)
 scaling with power transformations of dissimilarities, SMACOF MDS with
 powers of dissimilarities, Sammon mapping with powers of dissimilarities,
 elastic scaling with powers of dissimilarities, spherical SMACOF with powers
 of dissimilarities, (ALSCAL) s-stress MDS with powers of dissimilarities,
 r-stress MDS, MDS with powers of dissimilarities and configuration
 distances, elastic scaling powers of dissimilarities and configuration
 distances, Sammon mapping powers of dissimilarities and configuration
 distances, power stress MDS (POST-MDS), approximate power stress, Box-Cox
 MDS, local MDS, Isomap, curvilinear component analysis (CLCA), curvilinear
 distance analysis (CLDA) and sparsified (power) multidimensional scaling and
 (power) multidimensional distance analysis (experimental models from smacofx
 influenced by CLCA). All of these models can also be fit by optimizing over
 hyperparameters based on goodness-of-fit fit only (i.e., no structure
 considerations). The package further contains functions for optimization,
 specifically the adaptive Luus-Jaakola algorithm and a wrapper for Bayesian
 optimization with treed Gaussian process with jumps to linear models, and
 functions for various c-structuredness indices. Hyperparameter optimization
 can be done with a number of techniques but we recommend either Bayesian
 optimization or particle swarm. For using "Kriging", users need to install a
 version of the archived 'DiceOptim' R package.

Package: r-cran-stopwords
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-isocodes
Suggests: r-cran-covr, r-cran-quanteda, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stopwords_2.3-1.ca2004.1_all.deb
Size: 226852
MD5sum: e08ea9b635f3b66c2f63ddbc74d53198
SHA1: b8593d3d0ff1709a923270b547a20fa9ac1d6cef
SHA256: 5b31d6cb8dd3e6ff2fd4236fe14c62fd9856f00a40ac9801d818d74204d0b85c
SHA512: 2662de1052eb2b9e99661c6ae6434bf158341b8d57793c1819e7313f038c71d3e3b9aeea13ec976cef9ba1ebabbe843ed16bd82ec83bebc8f7881b8aa6f56003
Homepage: https://cran.r-project.org/package=stopwords
Description: CRAN Package 'stopwords' (Multilingual Stopword Lists)
 Provides multiple sources of stopwords, for use in text analysis and natural
 language processing.

Package: r-cran-storm
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-permute, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-storm_1.2-1.ca2004.1_all.deb
Size: 136120
MD5sum: 59d10d2959a1e7a6c0a0d665f281a9a3
SHA1: bc07703b1fe8e7cebbc659fa76dff8bf032aa8ad
SHA256: 6eb8b5960fb1c1ea7da216e10570b5aca9320d56eb075a9bcee8341e5f8f4de0
SHA512: 0a8000b4e2425af0748369890269abcd349d8945f8f9ce156dfe3963ef630fcb10704acafd98199e01c5bde99045491f4a3ab52a90ef4dde36c66ee13714d0de
Homepage: https://cran.r-project.org/package=Storm
Description: CRAN Package 'Storm' (Write Storm Bolts in R using the Storm Multi-Language Protocol)
 Storm is a distributed real-time computation system. Similar to how Hadoop
 provides a set of general primitives for doing batch processing, Storm
 provides a set of general primitives for doing real-time computation.
 Storm includes a "Multi-Language" (or "Multilang") Protocol to allow
 implementation of Bolts and Spouts in languages other than Java.  This R
 extension provides implementations of utility functions to allow an
 application developer to focus on application-specific functionality rather
 than Storm/R communications plumbing.

Package: r-cran-stortingscrape
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rvest, r-cran-httr2, r-cran-stringr
Suggests: r-cran-magick, r-cran-rmarkdown, r-cran-knitr, r-cran-pscl
Filename: pool/dists/focal/main/r-cran-stortingscrape_0.4.1-1.ca2004.1_all.deb
Size: 408120
MD5sum: 09224fe8e469099ec9063a1f7a5aca07
SHA1: 19035a5f237221c2a68d759a2b3ba02433445ad2
SHA256: 5d6fd499d89a56da8efc23a747ec6c1aab1b062fbcc6b7d94bdf35b9a6c445a9
SHA512: 7429ed35ff3bf541ac8bcf92c3186c556afaead37ce2e33071caa34d9b423db4f623d0c6cc46ea9ff482ecdd04b7637f26e3427f5994fde2b15c06bce2a221cb
Homepage: https://cran.r-project.org/package=stortingscrape
Description: CRAN Package 'stortingscrape' (Access Data from the Norwegian Parliament API)
 Functions for retrieving general and specific data from the Norwegian
 Parliament, through the Norwegian Parliament API at
 <https://data.stortinget.no>.

Package: r-cran-story
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dplyr, r-cran-fansi, r-cran-httr, r-cran-lifecycle, r-cran-purrr, r-cran-r6, r-cran-rappdirs, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyjson, r-cran-tidyr
Suggests: r-cran-covr, r-cran-curl, r-cran-isa2, r-cran-jsonlite, r-cran-knitr, r-cran-progress, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-story_0.2.2-1.ca2004.1_all.deb
Size: 1079684
MD5sum: ea76d044a5d771e012956ac8ccbaf3e0
SHA1: 3463ef6295d0df49f1d2a62ca0086a752f1e0324
SHA256: 4b99423471548740154ed4b9c868a3570ec8ba224bd0c4d7fffa8b9af9c22b11
SHA512: ce18327eaead9a86d867819c38d411d048d094e6d51e3b36f75b0f31e9de3e7223a9e262a6cd1e9d3a6f8cc77e0d46ee44607c36200815c15d546ccd29deddaa
Homepage: https://cran.r-project.org/package=stoRy
Description: CRAN Package 'stoRy' (Download, Explore, and Analyze Literary Theme Ontology Data)
 Download, explore, and analyze Literary Theme Ontology themes and
 thematically annotated story data. To learn more about the project visit
 <https://github.com/theme-ontology/theming> and
 <https://www.themeontology.org>.

Package: r-cran-storywranglr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-tibble, r-cran-urltools
Filename: pool/dists/focal/main/r-cran-storywranglr_0.2.0-1.ca2004.1_all.deb
Size: 53592
MD5sum: 89559fd53389a895b2008b34edc6daa7
SHA1: 362c38e2c5e852b2184c4ce5e49ae2f944f5a5d6
SHA256: b6d23205c4849c183147b5be14464e22c6ac9f5f778984e503a5b9b07a4d980a
SHA512: 1096e766cce0aacc62691891b4bb1c02e3ba69fe76eeebe1f57c0d870b3b8b5723ef22daa844447699445ab3c7e665f18ee70ffc4ddc5925b6919cb654e54b6a
Homepage: https://cran.r-project.org/package=storywranglr
Description: CRAN Package 'storywranglr' (Explore Twitter Trends with the 'Storywrangler' API)
 An interface to explore trends in Twitter data using the 'Storywrangler'
 Application Programming Interface (API), which can be found here:
 <https://github.com/janeadams/storywrangler>.

Package: r-cran-stpga
Architecture: all
Version: 5.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 557
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-algdesign, r-cran-scales, r-cran-scatterplot3d, r-cran-emoa
Suggests: r-cran-r.rsp, r-cran-emmreml, r-cran-quadprog, r-cran-usingr, r-cran-glmnet, r-cran-leaps, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-stpga_5.2.1-1.ca2004.1_all.deb
Size: 535316
MD5sum: f17bda46502e9951fd24227a481ff185
SHA1: ee2a228790c3e7dd1ffd552b2bbfad857013642f
SHA256: b3a3cc70eedef8065660c640678ad141d5d29a8bab09a31953011c2c7c5fb408
SHA512: 71036145696e0e58b612e5391e5492867ce1f042eb35da3047732c4a20c6d6d85fc68bc55dc4b28f2f6c472078e918af85b3bc2e876d5f178887a9ad3a662044
Homepage: https://cran.r-project.org/package=STPGA
Description: CRAN Package 'STPGA' (Selection of Training Populations by Genetic Algorithm)
 Combining Predictive Analytics and Experimental Design to Optimize Results.
 To be utilized to select a test data calibrated training population in high
 dimensional prediction problems and assumes that the explanatory variables
 are observed for all of the individuals. Once a "good" training set is
 identified, the response variable can be obtained only for this set to build
 a model for predicting the response in the test set. The algorithms in the
 package can be tweaked to solve some other subset selection problems.

Package: r-cran-stplanr
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2969
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-dplyr, r-cran-geosphere, r-cran-httr, r-cran-jsonlite, r-cran-lwgeom, r-cran-magrittr, r-cran-nabor, r-cran-od, r-cran-pbapply, r-cran-rcpp, r-cran-rlang, r-cran-sf, r-cran-sfheaders
Suggests: r-cran-cyclestreets, r-cran-dodgr, r-cran-geodist, r-cran-igraph, r-cran-knitr, r-cran-leaflet, r-cran-mapsapi, r-cran-opentripplanner, r-cran-osrm, r-cran-pct, r-cran-rmarkdown, r-cran-testthat, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-stplanr_1.2.3-1.ca2004.1_all.deb
Size: 2118580
MD5sum: ea006fccf0e97b8e5d5457f3c262e104
SHA1: f401258ff63a6d49f06d2b7dcf002dd9af772ab6
SHA256: cde8e0a426ffba158ed944e18949ae20b0d65e88dee66411ed153352864fefa4
SHA512: 0ef6da84ec74d21f7d185c53a18a25c8901e6cbcee03402a66b274508d2ebcecf363163f4de737aaf28fa07aa6abdfc5a7931a5fffa200852d857015965fc512
Homepage: https://cran.r-project.org/package=stplanr
Description: CRAN Package 'stplanr' (Sustainable Transport Planning)
 Tools for transport planning with an emphasis on spatial transport data and
 non-motorized modes.  The package was originally developed to support the
 'Propensity to Cycle Tool', a publicly available strategic cycle network
 planning tool (Lovelace et al. 2017) <doi:10.5198/jtlu.2016.862>, but has
 since been extended to support public transport routing and accessibility
 analysis (Moreno-Monroy et al. 2017) <doi:10.1016/j.jtrangeo.2017.08.012>
 and routing with locally hosted routing engines such as 'OSRM' (Lowans et
 al. 2023) <doi:10.1016/j.enconman.2023.117337>.  The main functions are for
 creating and manipulating geographic "desire lines" from origin-destination
 (OD) data (building on the 'od' package); calculating routes on the
 transport network locally and via interfaces to routing services such as
 <https://cyclestreets.net/> (Desjardins et al. 2021)
 <doi:10.1007/s11116-021-10197-1>; and calculating route segment attributes
 such as bearing. The package implements the 'travel flow aggregration'
 method described in Morgan and Lovelace (2020)
 <doi:10.1177/2399808320942779> and the 'OD jittering' method described in
 Lovelace et al. (2022) <doi:10.32866/001c.33873>.  Further information on
 the package's aim and scope can be found in the vignettes and in a paper in
 the R Journal (Lovelace and Ellison 2018) <doi:10.32614/RJ-2018-053>, and in
 a paper outlining the landscape of open source software for geographic
 methods in transport planning (Lovelace, 2021)
 <doi:10.1007/s10109-020-00342-2>.

Package: r-cran-stppsim
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-splancs, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-sf, r-cran-sp, r-cran-ks, r-cran-terra, r-cran-raster, r-cran-simriv, r-cran-data.table, r-cran-tibble, r-cran-stringr, r-cran-lubridate, r-cran-spatstat.geom, r-cran-sparr, r-cran-chron, r-cran-ggplot2, r-cran-geosphere, r-cran-leaflet, r-cran-cowplot, r-cran-gstat, r-cran-otusummary, r-cran-progressr, r-cran-future.apply
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stppsim_1.3.4-1.ca2004.1_all.deb
Size: 1428520
MD5sum: 3f90b2a9a7469a39c827f581d48fb13b
SHA1: 75a99d227aa40fa8239d1e044e468bf61a4bf79b
SHA256: a08f30ce650ac275afbe4dc4c25396b91c289440d944475d0567ec67c3bd0678
SHA512: c5e0d95c7ba95398daa1c3bf5806be86ccaa50c258b0b3c6acf6afca032943df7745eee6a47f21c249490bb388ab0f0feaaa90053cedd228e7bbf1647842390c
Homepage: https://cran.r-project.org/package=stppSim
Description: CRAN Package 'stppSim' (Spatiotemporal Point Patterns Simulation)
 Generates artificial point patterns marked by their spatial and temporal
 signatures. The resulting point cloud may exhibit inherent interactions
 between both signatures.  The simulation integrates microsimulation (Holm,
 E., (2017)<doi:10.1002/9781118786352.wbieg0320>) and agent-based models
 (Bonabeau, E., (2002)<doi:10.1073/pnas.082080899>), beginning with the
 configuration of movement characteristics for the specified agents (referred
 to as 'walkers') and their interactions within the simulation environment.
 These interactions (Quaglietta, L. and Porto, M.,
 (2019)<doi:10.1186/s40462-019-0154-8>) result in specific spatiotemporal
 patterns that can be visualized, analyzed, and used for various analytical
 purposes.  Given the growing scarcity of detailed spatiotemporal data across
 many domains, this package provides an alternative data source for
 applications in social and life sciences.

Package: r-cran-str2str
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-checkmate, r-cran-plyr, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-str2str_1.0.0-1.ca2004.1_all.deb
Size: 333420
MD5sum: 76a538497318df11771a8064d299b397
SHA1: 0dc6f76a65f8d081d293c06a2ef8eb554a2909a0
SHA256: f220bf66594710d823316feb66287e6360cdf6cde4021417a8577aa41245afa7
SHA512: 79f9bf11c29df3e807be5206287b9d93911d3cab51124ee626242850dc40f84fd9bc8d1e0b1baa275d123eb9b3002596888b957f446a4c807a5d814c8bf9cb4c
Homepage: https://cran.r-project.org/package=str2str
Description: CRAN Package 'str2str' (Convert R Objects from One Structure to Another)
 Offers a suite of functions for converting to and from (atomic) vectors,
 matrices, data.frames, and (3D+) arrays as well as lists of these objects.
 It is an alternative to the base R as.<str>.<method>() functions (e.g.,
 as.data.frame.array()) that provides more useful and/or flexible
 restructuring of R objects.  To do so, it only works with common structuring
 of R objects (e.g., data.frames with only atomic vector columns).

Package: r-cran-str
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2312
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-foreach, r-cran-forecast, r-cran-matrix, r-cran-quantreg, r-cran-sparsem
Suggests: r-cran-demography, r-cran-doparallel, r-cran-knitr, r-cran-markdown, r-cran-rgl, r-cran-rmarkdown, r-cran-seasonal, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-str_0.7-1.ca2004.1_all.deb
Size: 1763228
MD5sum: 02ee0a83e99392d5468ebfea4c6ef125
SHA1: 1a88c8daabf4cf774287de7447e54ee570995bca
SHA256: 5a51658cd675ffb7bd3653a71e592ef29f93cafa1ed9fb677d7e3cf26ddcf90a
SHA512: ade46c808be9d5bc34e66d680efaaf8115f7b1a146c8b0d9fa5230672b461a3297295b029f6cd211ca876268ac14d04d915ee48e30070b6ce89715d97680ab94
Homepage: https://cran.r-project.org/package=stR
Description: CRAN Package 'stR' (Seasonal Trend Decomposition Using Regression)
 Methods for decomposing seasonal data: STR (a Seasonal-Trend time series
 decomposition procedure based on Regression) and Robust STR. In some ways,
 STR is similar to Ridge Regression and Robust STR can be related to LASSO.
 They allow for multiple seasonal components, multiple linear covariates with
 constant, flexible and seasonal influence. Seasonal patterns (for both
 seasonal components and seasonal covariates) can be fractional and flexible
 over time; moreover they can be either strictly periodic or have a more
 complex topology. The methods provide confidence intervals for the estimated
 components. The methods can also be used for forecasting.

Package: r-cran-strand
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1966
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-matrix, r-cran-rglpk, r-cran-dplyr, r-cran-tidyr, r-cran-arrow, r-cran-lubridate, r-cran-rlang, r-cran-yaml, r-cran-ggplot2, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyjs, r-cran-dt, r-cran-rsymphony, r-cran-officer, r-cran-flextable, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-strand_0.2.0-1.ca2004.1_all.deb
Size: 1749888
MD5sum: c35eb542d202c3801195f8f04baf0b0c
SHA1: 32ca8c8d3725671766243360104eca669d47a9fd
SHA256: 565bf1471c4da8576a903c9dd9a3cfca1cc79b1d795205e9da11064c097373b5
SHA512: a3b18dad8020dcb3ec6b798d50028928646f2c2a4c29dca722fe4bd834ab66b2c490123d7a921172e5f5533d944cdd6f5ffd00458a792b54f7917213f42ed4b7
Homepage: https://cran.r-project.org/package=strand
Description: CRAN Package 'strand' (A Framework for Investment Strategy Simulation)
 Provides a framework for performing discrete (share-level) simulations of
 investment strategies. Simulated portfolios optimize exposure to an input
 signal subject to constraints such as position size and factor exposure. For
 background see L. Chincarini and D. Kim (2010, ISBN:978-0-07-145939-6)
 "Quantitative Equity Portfolio Management".

Package: r-cran-stranslate
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-crayon, r-cran-knitr, r-cran-stringr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stranslate_0.1.3-1.ca2004.1_all.deb
Size: 56528
MD5sum: 7fd8b9747369c5309c977f0ceae39625
SHA1: d4a1d1ed436d9abc26fb91629baa92076e64d191
SHA256: 0c2d685ee5bc252e1f2cdb4998eb70d5a248fafe4fd9dd2d8c3cd84e484b7ca5
SHA512: 7ced6e46a68d3125118dddf2eac3d8f3716950286038f9ba6acde2fc3a2037aafec17cf766b265c9faca0bfb2f74c140cb6642d5881f8c478259ea80f39a40a1
Homepage: https://cran.r-project.org/package=stranslate
Description: CRAN Package 'stranslate' (Simple Translation Between Different Languages)
 Message translation is often managed with 'po' files and the 'gettext'
 programme, but sometimes another solution is needed. In contrast to 'po'
 files, a more flexible approach is used as in the Fluent
 <https://projectfluent.org/> project with R Markdown snippets.  The
 key-value approach allows easier handling of the translated messages.

Package: r-cran-strap
Architecture: all
Version: 1.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-geoscale, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-strap_1.6-1-1.ca2004.1_all.deb
Size: 171484
MD5sum: 1d8b1f7b1fa8e254a25a12f680d64f7d
SHA1: e073dcc2c757c4ff30233a220a2978958edbdd14
SHA256: 4868042a78a0a51d60650fc8550758cd153a3cf963ed32cd1eb820a882e57bf8
SHA512: 2a02e59b3e8475156a2f5c7d3e6c337ed2010c739274bf7fb8cede5a3facfc761e58c9f79c3d39fce8fa55a54f213a9bf2b325f6e6e0dba4ab59a4d4f2625420
Homepage: https://cran.r-project.org/package=strap
Description: CRAN Package 'strap' (Stratigraphic Tree Analysis for Palaeontology)
 Functions for the stratigraphic analysis of phylogenetic trees.

Package: r-cran-strata.maxcombo
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-strata.maxcombo_0.0.1-1.ca2004.1_all.deb
Size: 29404
MD5sum: b4bcab47a88d1dc8197e98bce87485e2
SHA1: c7db801c01fc197ce376f65c2fc5012685732d6e
SHA256: 3c02ea988b63ccf1f6769256c0fe5c93802481ae207fb8f4ebd31ccdcc414524
SHA512: 80dbf309c012db2b85fc29c4a510fab23f2e1db00a2ea1241ba635173b6a4aac3c9a2e20edf65f1fa3036f887b128de2d3f3db9764673efad7f88e21af650dbe
Homepage: https://cran.r-project.org/package=strata.MaxCombo
Description: CRAN Package 'strata.MaxCombo' (Stratified Max-Combo Test)
 Non-proportional hazard (NPH) is commonly observed in immuno-oncology
 studies, where the survival curves of the treatment and control groups show
 delayed separation. To properly account for NPH, several statistical methods
 have been developed. One such method is Max-Combo test, which is a
 straightforward and flexible hypothesis testing method that can
 simultaneously test for constant, early, middle, and late treatment effects.
 However, the majority of the Max-Combo test performed in clinical studies
 are unstratified, ignoring the important prognostic stratification factors.
 To fill this gap, we have developed an R package for stratified Max-Combo
 testing that accounts for stratified baseline factors. Our package explores
 various methods for calculating combined test statistics, estimating joint
 distributions, and determining the p-values.

Package: r-cran-strata
Architecture: all
Version: 1.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-lifecycle, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-strata_1.4.5-1.ca2004.1_all.deb
Size: 104492
MD5sum: 55b94b30d6089e09251965c31a3681bb
SHA1: ba34470b29c65bf49796ccd44ef3033d94cfa871
SHA256: fd786b6b486675b8445950c0349a05b847f9295bbcfe9f9606e7c1eac020fadd
SHA512: 7da3bc0b51f6722f78023b1b2f559727e9cb4a8654e263b88670f35087d2783ef862b2897a5d8243276260ebce61f2aad29ced77dc3c7970aaab8de112e9cd0b
Homepage: https://cran.r-project.org/package=strata
Description: CRAN Package 'strata' (Simple Framework for Simple Automation)
 Build a project framework for users with access to only the most basic of
 automation tools.

Package: r-cran-stratallo
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-lifecycle
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stratallo_2.2.1-1.ca2004.1_all.deb
Size: 156464
MD5sum: bed66dbcdb04c3bef71300494838f49f
SHA1: c72f47106dec20d626f3d23f7b5c35bc6303a64e
SHA256: ef7f30b9b7b3cc64f2aab5d782fa425d398c4eaf74514530c571c78cc4eedb01
SHA512: 89974d5776600560e5b11bd9f02a42be09908967e4caf6bcc6b7ad7e38641a64c32fff0f9502e9a2f3eb8078ad38853746b36fcd803493cb6131f28ee736efc9
Homepage: https://cran.r-project.org/package=stratallo
Description: CRAN Package 'stratallo' (Optimum Sample Allocation in Stratified Sampling)
 Functions in this package provide solution to classical problem in survey
 methodology - an optimum sample allocation in stratified sampling. In this
 context, the optimum allocation is in the classical Tschuprow-Neyman's sense
 and it satisfies additional lower or upper bounds restrictions imposed on
 sample sizes in strata. There are few different algorithms available to use,
 and one them is based on popular sample allocation method that applies
 Neyman allocation to recursively reduced set of strata.  This package also
 provides the function that computes a solution to the minimum cost
 allocation problem, which is a minor modification of the classical optimum
 sample allocation. This problem lies in the determination of a vector of
 strata sample sizes that minimizes total cost of the survey, under assumed
 fixed level of the stratified estimator's variance. As in the case of the
 classical optimum allocation, the problem of minimum cost allocation can be
 complemented by imposing upper-bounds constraints on sample sizes in strata.

Package: r-cran-stratamatch
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-hmisc, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-optmatch, r-cran-rmarkdown, r-cran-testthat, r-cran-glmnet, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-stratamatch_0.1.9-1.ca2004.1_all.deb
Size: 789376
MD5sum: 059c02c98190d592da0b7723a053fc66
SHA1: 49b6820a1d5e230a75888abdd918efc178d39039
SHA256: 213a749ef3d3ff0b86b94ed660a62adce0bc3a7e4a4f64b22d1e011bf5749372
SHA512: e885ed3ce56ea79c82a312d44df5a157808205668e3a2cf8ad1fcc4c9c758b9e75aae1be8bd61b6e3f532c42ceb912840ce23e7f4edc7fbb015727cfe6d88249
Homepage: https://cran.r-project.org/package=stratamatch
Description: CRAN Package 'stratamatch' (Stratification and Matching for Large Observational Data Sets)
 A pilot matching design to automatically stratify and match large datasets.
 The manual_stratify() function allows users to manually stratify a dataset
 based on categorical variables of interest, while the auto_stratify()
 function does automatically by allocating a held-aside (pilot) data set,
 fitting a prognostic score (see Hansen (2008) <doi:10.1093/biomet/asn004>)
 on the pilot set, and stratifying the data set based on prognostic score
 quantiles.  The strata_match() function then does optimal matching of the
 data set in parallel within strata.

Package: r-cran-stratastats
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-gt
Filename: pool/dists/focal/main/r-cran-stratastats_0.2-1.ca2004.1_all.deb
Size: 31988
MD5sum: 5fdb35ba4e582dc64002a2506f8b8be3
SHA1: 0cac004e8fadd81ddf3e082544ad4fc81dcf06f5
SHA256: 04bc82124fe606da0ac5904a1289d9dbe7cf4005a4c2b9dd185522b670e718d7
SHA512: 634182291a429ffc217b96b77b154eb7d2d21070e6aff6bf0f2bb8119035469be8a1918450fd21f14cbd4a98784e8f0084dc217f7ef23af97895e1c7a8612baf
Homepage: https://cran.r-project.org/package=stratastats
Description: CRAN Package 'stratastats' (Stratified Analysis of 2x2 Contingency Tables)
 Offers a comprehensive approach for analysing stratified 2x2 contingency
 tables. It facilitates the calculation of odds ratios, 95% confidence
 intervals, and conducts chi-squared, Cochran-Mantel-Haenszel,
 Mantel-Haenszel, and Breslow-Day-Tarone tests. The package is particularly
 useful in fields like epidemiology and social sciences where stratified
 analysis is essential. The package also provides interpretative insights
 into the results, aiding in the understanding of statistical outcomes.

Package: r-cran-stratbr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rglpk, r-cran-snowfall, r-cran-stratification
Filename: pool/dists/focal/main/r-cran-stratbr_1.2-1.ca2004.1_all.deb
Size: 30984
MD5sum: b1a5c0dc8fd54054c15bac8573bd32f1
SHA1: a3701345fb5329651578c1de814347fdd8068372
SHA256: bd814ce7037f5946cccf97f9c700da9cd49541c231ceee94f301924551a3e870
SHA512: a57833bff9eb007cca15e57de188df0851fc943f770326ed2bde2ca1c50cae5f31c8c99b67140761e046c81c5833c78e2f1327a6b82ab1597e17b678b97949ae
Homepage: https://cran.r-project.org/package=stratbr
Description: CRAN Package 'stratbr' (Optimal Stratification in Stratified Sampling)
 An Optimization Algorithm Applied to Stratification Problem.This function
 aims at constructing optimal strata with an optimization algorithm based on
 a global optimisation technique called Biased Random Key Genetic Algorithms.

Package: r-cran-strategicplayers
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-strategicplayers_1.1-1.ca2004.1_all.deb
Size: 18948
MD5sum: 313a97bda9c0f53604e7795f28dea154
SHA1: cb7f225d98e75465437e0095b3395e6b78774a88
SHA256: 14c6b0aed376573f25f9a0a3c866ac6a1ea965a35fe1cde0fda05c165ee3f5f9
SHA512: a2134560527c0f927f783c8808de5b4ef8ef13d564b85e948c36efcbc33a7377df89436860436ab373d533b56d82c8a606098108a69bf113b1078068d7f23ada
Homepage: https://cran.r-project.org/package=strategicplayers
Description: CRAN Package 'strategicplayers' (Strategic Players)
 Identifies individuals in a social network who should be the intervention
 subjects for a network intervention in which you have a group of targets, a
 group of avoiders, and a group that is neither.

Package: r-cran-strategy
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 670
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-zoo, r-cran-xts
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-strategy_1.0.1-1.ca2004.1_all.deb
Size: 473460
MD5sum: 9042a5eafc19b53cd128a97ee09a7333
SHA1: 372b689e71922e963592d414c673704c13edbb4e
SHA256: 6c42b23def455f36fc1a770321b76ce4b3795ab6ce369c6daa319804d1ffcf5e
SHA512: ea44a59211ff1fe7851528a90c805502d640882bca47348ef183a20409b6bcb21817508a06142c2000d7fe9800e85e28775f91d219dd0fdad6699593194be427
Homepage: https://cran.r-project.org/package=Strategy
Description: CRAN Package 'Strategy' (Generic Framework to Analyze Trading Strategies)
 Users can build and test customized quantitative trading strategies. Some
 quantitative trading strategies are already implemented, e.g. various
 moving-average filters with trend following approaches.  The implemented
 class called "Strategy" allows users to access several methods to analyze
 performance figures, plots and backtest the strategies.  Furthermore, custom
 strategies can be added, a generic template is available. The custom
 strategies require a certain input and output so they can be called from the
 Strategy-constructor.

Package: r-cran-stratifiedbalancing
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bnlearn, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-stratifiedbalancing_0.3.0-1.ca2004.1_all.deb
Size: 50640
MD5sum: 2dcc8ee92ae0e62df96cf764cb5fe083
SHA1: 02fca1b299acdaf62b44bd256dec16517093a47d
SHA256: 8ece08784e3910c157dc1edecd58a982e4bd7a2a4fdbc732c2e4f04fd2843bbe
SHA512: 2573c8346d0ad7dff8d6bfffcea02f7e121c9a94b3817200de9e839527cc6736270b327320e0080993eaea1a6a15b08462de447f06f630c413e73675c44794c9
Homepage: https://cran.r-project.org/package=StratifiedBalancing
Description: CRAN Package 'StratifiedBalancing' (Stratified Covariate Balancing)
 Performs Stratified Covariate Balancing with Markov blanket feature
 selection and use of synthetic cases. See Alemi et al. (2016)
 <DOI:10.1111/1475-6773.12628>.

Package: r-cran-stratifiedmedicine
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5781
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-partykit, r-cran-ranger, r-cran-survival, r-cran-glmnet, r-cran-ggplot2, r-cran-ggparty, r-cran-mvtnorm, r-cran-coin
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-bart, r-cran-proc, r-cran-survrm2, r-cran-th.data, r-cran-sandwich, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stratifiedmedicine_1.0.5-1.ca2004.1_all.deb
Size: 909944
MD5sum: a63dc4bb2c84fb1ec7011ee65f73d972
SHA1: 1fa0f7cb657a73cfff52e767adfb8635f1e3d97d
SHA256: 940bc50942f4a5faffe6f9ea5ce8b9f4cc851dddb5c164c20384fc639b565a6b
SHA512: ab7eb8db21a395e6c23e2d8d26d71700d342d2f291d54b3e74818e5e4a9434fa75fa0253b92acec90c958974ca41d451aeb750066dc3712c9851b5e379e0c7b9
Homepage: https://cran.r-project.org/package=StratifiedMedicine
Description: CRAN Package 'StratifiedMedicine' (Stratified Medicine)
 A toolkit for stratified medicine, subgroup identification, and precision
 medicine.  Current tools include (1) filtering models (reduce covariate
 space), (2) patient-level estimate models (counterfactual patient-level
 quantities, such as the conditional average treatment effect), (3) subgroup
 identification models (find subsets of patients with similar treatment
 effects), and (4) treatment effect estimation and inference (for the overall
 population and discovered subgroups). These tools can be customized and are
 directly used in PRISM (patient response identifiers for stratified
 medicine; Jemielita and Mehrotra 2019 <arXiv:1912.03337>. This package is in
 beta and will be continually updated.

Package: r-cran-stratifiedrf
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-c50, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-stratifiedrf_0.2.2-1.ca2004.1_all.deb
Size: 48836
MD5sum: d191d9b79ccc4dd61c32268077c9cd69
SHA1: 5e5ef2f8027b9c3c39d769dbf50b74bf43cef1bc
SHA256: 4f3b5757069fb6db03f21b298ce4b589940caa6ea665560107ad41152e619315
SHA512: 269c85bb096dfd9f2f1609738f4ab0d20259db987d59422d7148cdd5923e92c7952a02223ed5bed7dd9eb0898cde7c7506bf4c531b1a3832f7eca00b8aacd2fc
Homepage: https://cran.r-project.org/package=StratifiedRF
Description: CRAN Package 'StratifiedRF' (Builds Trees by Sampling Variables in Groups)
 Random Forest-like tree ensemble that works with groups of predictor
 variables. When building a tree, a number of variables is taken randomly
 from each group separately, thus ensuring that it considers variables from
 each group for the splits. Useful when rows contain information about
 different things (e.g. user information and product information) and it's
 not sensible to make a prediction with information from only one group of
 variables, or when there are far more variables from one group than the
 other and it's desired to have groups appear evenly on trees.  Trees are
 grown using the C5.0 algorithm rather than the usual CART algorithm.
 Supports parallelization (multithreaded), missing values in predictors, and
 categorical variables (without doing One-Hot encoding in the processing).
 Can also be used to create a regular (non-stratified) Random Forest-like
 model, but made up of C5.0 trees and with some additional control options.
 As it's built with C5.0 trees, it works only for classification (not for
 regression).

Package: r-cran-stratifiedyh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stratifiedyh_0.1.0-1.ca2004.1_all.deb
Size: 24248
MD5sum: 4367c775dc33e97d4a56bdc0bb5666de
SHA1: b0ca254a7ba686d35972143f7322dc8f7130ba09
SHA256: 86d911c6bfa02cec29a87c3ea82acfd19bc3445b20283c452923d7a96740a238
SHA512: bd53383203ccad54644559f74ccf11d7ad34c6bc5c06b33952a54a904bb21c0b9f56a4cc43244b604f84574444f0ac7ed9a9506b8d2ca9155dc082a3870f647d
Homepage: https://cran.r-project.org/package=stratifiedyh
Description: CRAN Package 'stratifiedyh' (Stratified Sampling and Labeling of Data in R)
 Provides functions for stratified sampling and assigning custom labels to
 data, ensuring randomness within groups. The package supports various
 sampling methods such as stratified, cluster, and systematic sampling. It
 allows users to apply transformations and customize the sampling process.
 This package can be useful for statistical analysis and data preparation
 tasks.

Package: r-cran-stratigrapher
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1242
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml, r-cran-dplyr, r-cran-stringr, r-cran-shiny, r-cran-diagram, r-cran-reshape
Suggests: r-cran-astrochron, r-cran-rfoc, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-stratigrapher_1.3.1-1.ca2004.1_all.deb
Size: 1209556
MD5sum: 25fef39c10df1a841cc273b62703a0c8
SHA1: edf26b12a81db45240abe48542f949f280e090f5
SHA256: 0edf26048109f46e9ae4e51c6cd631437d634de3d8bbd5f5fd8af6c5f725a73c
SHA512: 9f23b87bebe461bbc910ffffd2b8c696511b20dc6eb3493849c462fb5161396d4515c2540c89fa5faca62eb3af4c4af8bb7348769453909a67df743c4773d4e9
Homepage: https://cran.r-project.org/package=StratigrapheR
Description: CRAN Package 'StratigrapheR' (Integrated Stratigraphy)
 Includes bases for litholog generation: graphical functions based on R base
 graphics, interval management functions and svg importation functions among
 others. Also include stereographic projection functions, and other functions
 made to deal with large datasets while keeping options to get into the
 details of the data.  When using for publication please cite Sebastien
 Wouters, Anne-Christine Da Silva, Frederic Boulvain and Xavier
 Devleeschouwer, 2021. The R Journal 13:2, 153-178.  The palaeomagnetism
 functions are based on: Tauxe, L., 2010. Essentials of Paleomagnetism.
 University of California Press.
 <https://earthref.org/MagIC/books/Tauxe/Essentials/>; Allmendinger, R. W.,
 Cardozo, N. C., and Fisher, D., 2013, Structural Geology Algorithms: Vectors
 & Tensors: Cambridge, England, Cambridge University Press, 289 pp.; Cardozo,
 N., and Allmendinger, R. W., 2013, Spherical projections with OSXStereonet:
 Computers & Geosciences, v. 51, no. 0, p. 193 - 205, <doi:
 10.1016/j.cageo.2012.07.021>.

Package: r-cran-stratpal
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 814
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-admtools, r-cran-paleots
Suggests: r-cran-ape, r-cran-fossilsim, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stratpal_0.5.0-1.ca2004.1_all.deb
Size: 457572
MD5sum: 99906bf2255a326221f9be5af7be59f2
SHA1: 2ffa6dd55f9365a41632f30832a01596f249cc1b
SHA256: 5a2cd0c45486e4212dc3f33693f5f9dc56ff7fcfdaa3fe5f1db61863be01f880
SHA512: 5d62b7b79eeedea9ebffb717b35dd38c493afae4cf9faa40a3fc922b6080c3756cf09b850be25c746814612639cd979c028f014a23334152d5733c9485224041
Homepage: https://cran.r-project.org/package=StratPal
Description: CRAN Package 'StratPal' (Stratigraphic Paleobiology Modeling Pipelines)
 The fossil record is a joint expression of ecological, taphonomic,
 evolutionary, and stratigraphic processes (Holland and Patzkowsky, 2012,
 ISBN:978-0226649382).  This package allowing to simulate biological
 processes in the time domain (e.g., trait evolution, fossil abundance,
 phylogenetic trees), and examine how their expression in the rock record
 (stratigraphic domain) is influenced based on age-depth models, ecological
 niche models, and taphonomic effects.  Functions simulating common processes
 used in modeling trait evolution or event type data such as first/last
 occurrences are provided and can be used standalone or as part of a
 pipeline. The package comes with example data sets and tutorials in several
 vignettes, which can be used as a template to set up one's own simulation.

Package: r-cran-stratsel
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-memisc, r-cran-formula, r-cran-mnormt, r-cran-pbivnorm
Filename: pool/dists/focal/main/r-cran-stratsel_1.4-1.ca2004.1_all.deb
Size: 146380
MD5sum: 96d46ed9ba0fbfbf7595ca114388648e
SHA1: 2b119a37b7a625e31c88a80cb34835836a9b56bd
SHA256: 1c6c77727c2c4f1fef666a249f73b3c9a3ff6e2403cf537ea025e1e2f6a1cc4e
SHA512: 6b5540a45b0006ad140bf5bc1e7a0a13036beeae2a100e169d4a8802f42f71fa94b35389eb15e6941a1d738ae0c7c4f3b7a2989789cdaa9b0aaba61232e449ec
Homepage: https://cran.r-project.org/package=StratSel
Description: CRAN Package 'StratSel' (Strategic Selection Estimator)
 Provides functions to estimate a strategic selection estimator. A strategic
 selection estimator is an agent error model in which the two random
 components are not assumed to be orthogonal. In addition this package
 provides generic functions to print and plot objects of its class as well as
 the necessary functions to create tables for LaTeX. There is also a function
 to create dyadic data sets.

Package: r-cran-stratus
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-phangorn, r-cran-igraph, r-cran-gmp, r-cran-ggplot2, r-bioc-ggtree, r-cran-rcppalgos
Filename: pool/dists/focal/main/r-cran-stratus_1.1.2-1.ca2004.1_all.deb
Size: 80472
MD5sum: 59d4e5f9bf4bf7612382fbf56abb9b81
SHA1: dd0f7d813ecb4f31935e5750d9520f915ebd5308
SHA256: 0c8bb4d7d8bb723304ca2b46fc3eac9e67f9d519e16afd8316422384659e13fd
SHA512: 3c130c79aa57be729a729b7fe39019725427b77301e6beed3c4798aa064f7b98c6c1ac2f4acf8c7b8d5da27c334d8c5dd7114548867680e14f449305c9891343
Homepage: https://cran.r-project.org/package=STraTUS
Description: CRAN Package 'STraTUS' (Enumeration and Uniform Sampling of Transmission Trees for aKnown Phylogeny)
 For a single, known pathogen phylogeny, provides functions for enumeration
 of the set of compatible epidemic transmission trees, and for uniform
 sampling from that set. Optional arguments allow for incomplete sampling
 with a known number of missing individuals, multiple sampling, and known
 infection time limits. Always assumed are a complete transmission bottleneck
 and no superinfection or reinfection. See Hall and Colijn (2019)
 <doi:10.1093/molbev/msz058> for methodology.

Package: r-cran-stratvns
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-partitions, r-cran-multalloc
Filename: pool/dists/focal/main/r-cran-stratvns_1.1-1.ca2004.1_all.deb
Size: 52156
MD5sum: 200ce1659687ce168b58508c4aca18d3
SHA1: 081c0823cbf0aac1aa760ef152413fca5f7807a8
SHA256: 55908bcb51c2e45944a49d4326ba44b2b18a7abe8cd381fe238fc139118549f9
SHA512: 86a4ceacc5df52cd98b4527d6c741a830d231f186e4314ec411dd72257aac18c71445a930bb1076d9631ae43a4ac95ae0574f119adf4d13ce86886fdeaff8bf5
Homepage: https://cran.r-project.org/package=stratvns
Description: CRAN Package 'stratvns' (Optimal Stratification in Stratified Sampling)
 An Optimization Algorithm Applied to Stratification Problem.This function
 aims at constructing optimal strata with an optimization algorithm based on
 a global optimisation technique called vns.

Package: r-cran-straweib
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-straweib_1.1-1.ca2004.1_all.deb
Size: 77276
MD5sum: a09335b8d5471e8f8defea1441908cdd
SHA1: 913e818ba4fe5b33d229a1db3734916c94593acb
SHA256: 513ecde82a4cdd1fbe928abf7a3263acf18cdf25fab08e3c41c60c30c70dbe9a
SHA512: 82c9af6dd6a7861348bff0cc5c9397bfec593c5770484b00d10b36e278ccf14d1eaba7761d4812839796e3a8a80d756fefe81e25e27c19fcf120fd482e1ed1e6
Homepage: https://cran.r-project.org/package=straweib
Description: CRAN Package 'straweib' (Stratified Weibull Regression Model)
 The main function is icweib(), which fits a stratified Weibull proportional
 hazards model for left censored, right censored, interval censored, and
 non-censored survival data. We parameterize the Weibull regression model so
 that it allows a stratum-specific baseline hazard function, but where the
 effects of other covariates are assumed to be constant across strata.
 Please refer to Xiangdong Gu, David Shapiro, Michael D. Hughes and Raji
 Balasubramanian (2014) <doi:10.32614/RJ-2014-003> for more details.

Package: r-cran-stray
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-ggplot2, r-cran-colorspace, r-cran-pcapp, r-cran-ks
Filename: pool/dists/focal/main/r-cran-stray_0.1.1-1.ca2004.1_all.deb
Size: 417084
MD5sum: 31886166de0d6d4f0312ade7cd4d9cb1
SHA1: 2285a28d478d9124e16c06296fd9ef819beaf30a
SHA256: 7c801bac90de8cb3492e3206942fff82ef05eca4a23be0dab9b58092a0c1a144
SHA512: 345d6944d417fce47bbdb4f4bded0c6812bb11057a1c7ba8d6183c51e32403c6426d5351aec086e34b1178b3bef641042eaaffbd3a634c95472804ced63b5c91
Homepage: https://cran.r-project.org/package=stray
Description: CRAN Package 'stray' (Anomaly Detection in High Dimensional and Temporal Data)
 This is a modification of 'HDoutliers' package. The 'HDoutliers' algorithm
 is a powerful unsupervised algorithm for detecting anomalies in
 high-dimensional data, with a strong theoretical foundation. However, it
 suffers from some limitations that significantly hinder its performance
 level, under certain circumstances. This package implements the algorithm
 proposed in Talagala, Hyndman and Smith-Miles (2019) <arXiv:1908.04000> for
 detecting anomalies in high-dimensional data that addresses these
 limitations of 'HDoutliers' algorithm. We define an anomaly as an
 observation that deviates markedly from the majority with a large distance
 gap. An approach based on extreme value theory is used for the anomalous
 threshold calculation.

Package: r-cran-streak
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3121
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ckmeans.1d.dp, r-cran-matrix, r-cran-seurat, r-cran-speck, r-cran-vam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-streak_1.0.0-1.ca2004.1_all.deb
Size: 3149328
MD5sum: f9c39a1b2b856d4bfe78e9ca7e691893
SHA1: 0f6408b3a1a75ef88663e327b4e3fa9e5a8ee85e
SHA256: e146e49ce0be97b3bbffb120be1824662d51826f5f67e61612fc6b61e69ff6f0
SHA512: 187b43d1893efffebcba619d086d8c1f2189fd97c535655b71b77ca5cf6afc589c3a25f38fd4f448e783081cd2cffd85eac09a207aef7568c3558a44ace9b0c1
Homepage: https://cran.r-project.org/package=STREAK
Description: CRAN Package 'STREAK' (Receptor Abundance Estimation using Feature Selection and GeneSet Scoring)
 Performs receptor abundance estimation for single cell RNA-sequencing data
 using a supervised feature selection mechanism and a thresholded gene set
 scoring procedure. Seurat's normalization method is described in: Hao et
 al., (2021) <doi:10.1016/j.cell.2021.04.048>, Stuart et al., (2019)
 <doi:10.1016/j.cell.2019.05.031>, Butler et al., (2018)
 <doi:10.1038/nbt.4096> and Satija et al., (2015) <doi:10.1038/nbt.3192>.
 Method for reduced rank reconstruction and rank-k selection is detailed in:
 Javaid et al., (2022) <doi:10.1101/2022.10.08.511197>. Gene set scoring
 procedure is described in: Frost et al., (2020) <doi:10.1093/nar/gkaa582>.
 Clustering method is outlined in: Song et al., (2020)
 <doi:10.1093/bioinformatics/btaa613> and Wang et al., (2011)
 <doi:10.32614/RJ-2011-015>.

Package: r-cran-streamconnect
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stream, r-cran-plumber, r-cran-callr, r-cran-httr, r-cran-readr, r-cran-stringr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-httpuv, r-cran-processx, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-streamconnect_0.0-6-1.ca2004.1_all.deb
Size: 140704
MD5sum: 2388624f1e837b7cbc8294ac8b97577e
SHA1: 5767187dc41afa51047ab357471a0cea59d41c83
SHA256: 7991f8ee5ff31733a3625455d3e623263aef1bd5b7a1d66a6c8e7ee74223fb6b
SHA512: 4f4f154caf972da05e8f4caf6095cfea80cce93365e05aee63159ff06acec77efdee9596095daa429350fc0e96986dc75448e7be7d09b0775212cad99b43816a
Homepage: https://cran.r-project.org/package=streamConnect
Description: CRAN Package 'streamConnect' (Connecting Stream Mining Components Using Sockets and WebServices)
 Adds functionality to connect stream mining components from package stream
 using sockets and Web services. The package can be used create distributed
 workflows and create plumber-based Web services which can be deployed on
 most common cloud services.

Package: r-cran-streamdag
Architecture: all
Version: 1.5-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-asbio, r-cran-plotrix, r-cran-missforest
Suggests: r-cran-ggplot2, r-cran-sf, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-rcolorbrewer, r-cran-devtools, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-streamdag_1.5-9-1.ca2004.1_all.deb
Size: 1315024
MD5sum: 85e2db05815862334a60f6c17d3cdbcc
SHA1: 580929ff3018f02e82906c016bc12bfef8cf6956
SHA256: b7bacbdd739074ebe1852c457be89be8b985ee6fb322c3b8ceabfa555fc79cb0
SHA512: 9e9bc2216930940e2d339e1ab79a3af13bf95ed7b159209211ada133ae6064cf9c466f6320109cfeb2fcffb1935e7b572acd416fa41f0c5a72731de8187dc65a
Homepage: https://cran.r-project.org/package=streamDAG
Description: CRAN Package 'streamDAG' (Analytical Methods for Stream DAGs)
 Provides indices and tools for directed acyclic graphs (DAGs), particularly
 DAG representations of intermittent streams.  A detailed introduction to the
 package can be found in the publication: "Non-perennial stream networks as
 directed acyclic graphs: The R-package streamDAG" (Aho et al., 2023)
 <doi:10.1016/j.envsoft.2023.105775>, and in the introductory package
 vignette.

Package: r-cran-streamdepletr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 928
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rmpfr, r-cran-dplyr, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-scales
Filename: pool/dists/focal/main/r-cran-streamdepletr_0.2.0-1.ca2004.1_all.deb
Size: 618760
MD5sum: 11753e41b00ca290e381a445d4b8ea08
SHA1: 70bb8599d258dc5ba9d744e6f024417a7498317a
SHA256: 112cdb79f887304d48eff41decd56582f28ba90f6cedd845ac728b8a8962f37d
SHA512: 3266275b3252e8e286f64b5c32a8538e3ace9e6be95b0388e9cb252977d2d750190460cbf571d88a4e2b07f4dbb9eced299d18b6a9ca4e01a7cc3cde0f159d28
Homepage: https://cran.r-project.org/package=streamDepletr
Description: CRAN Package 'streamDepletr' (Estimate Streamflow Depletion Due to Groundwater Pumping)
 Implementation of analytical models for estimating streamflow depletion due
 to groundwater pumping, and other related tools. Functions are broadly split
 into two groups: (1) analytical streamflow depletion models, which estimate
 streamflow depletion for a single stream reach resulting from groundwater
 pumping; and (2) depletion apportionment equations, which distribute
 estimated streamflow depletion among multiple stream reaches within a stream
 network. See Zipper et al. (2018) <doi:10.1029/2018WR022707> for more
 information on depletion apportionment equations and Zipper et al. (2019)
 <doi:10.1029/2018WR024403> for more information on analytical depletion
 functions, which combine analytical models and depletion apportionment
 equations.

Package: r-cran-streammetabolism
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-chron, r-cran-suntools
Filename: pool/dists/focal/main/r-cran-streammetabolism_1.1.3-1.ca2004.1_all.deb
Size: 55780
MD5sum: b05dced9ee6f11acd57f960efde714de
SHA1: b39a90b93f170db0cbb4f6bb2cdece8412769e8a
SHA256: 03b0e870e3c9e1d6eea3dee59864f432c25ea3ebbb73d11cf19275e177b00092
SHA512: 213e15badc2e5ef83bedcc51a5b75a370a27d5bbb579327fcbe9d11c23015a23855d3be27ec2bbb5d3b2a78c00f1ff6fea0053cf6830ea0eff15ef544ada5472
Homepage: https://cran.r-project.org/package=StreamMetabolism
Description: CRAN Package 'StreamMetabolism' (Calculate Single Station Metabolism from Diurnal Oxygen Curves)
 I provide functions to calculate Gross Primary Productivity, Net Ecosystem
 Production, and Ecosystem Respiration from single station diurnal Oxygen
 curves.

Package: r-cran-streammoa
Architecture: all
Version: 1.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3508
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stream, r-cran-rjava, r-cran-proxy
Suggests: r-cran-rmoa
Filename: pool/dists/focal/main/r-cran-streammoa_1.3-1-1.ca2004.1_all.deb
Size: 3238796
MD5sum: 0c8046c600d163e5bb6e4395e536b1cc
SHA1: c1b7c6a5db95900ab4c96290715d2a292ceed746
SHA256: 95f26ca2caf5d7e2c5ece2ef2a1a4e24c5fd0e14317cdc4a3f6f7db091444628
SHA512: 15f9569fa1173d9f2755ef8c85574f153241a91fc212804adf6d7023af6f3e18757b4b5e037778328f03c3aba7a3ce1f2377658aa1ec888db5b3b09f2f39f981
Homepage: https://cran.r-project.org/package=streamMOA
Description: CRAN Package 'streamMOA' (Interface for MOA Stream Clustering Algorithms)
 Interface for data stream clustering algorithms implemented in the MOA
 (Massive Online Analysis) framework (Albert Bifet, Geoff Holmes, Richard
 Kirkby, Bernhard Pfahringer (2010). MOA: Massive Online Analysis, Journal of
 Machine Learning Research 11: 1601-1604).

Package: r-cran-streamr
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson, r-cran-ndjson
Suggests: r-cran-roauth
Filename: pool/dists/focal/main/r-cran-streamr_0.4.5-1.ca2004.1_all.deb
Size: 68200
MD5sum: b16874fc066dd35e45d48b1bc129cb71
SHA1: b34a0064be80d101799dd71275d95cd2939f7696
SHA256: 2b3358cf791a6445a902ce7d1e0738cded8f7a5f3d7ed5bec6a4ffec63c6b684
SHA512: 72c5cab05cbd19dc0c4469c1d3ff9b3a88e436c267d804508efcc1d5cf9bb96f6d1e9f4f1170b4077b1f1a755eb75d0c4ffcd718eb1ed5b99874cf9c65167745
Homepage: https://cran.r-project.org/package=streamR
Description: CRAN Package 'streamR' (Access to Twitter Streaming API via R)
 Functions to access Twitter's filter, sample, and user streams, and to parse
 the output into data frames.

Package: r-cran-streamy
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-coro, r-cran-rlang, r-cran-rstudioapi, r-cran-withr
Suggests: r-cran-ellmer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-streamy_0.2.0-1.ca2004.1_all.deb
Size: 113580
MD5sum: 99a756d46b3508c518458537f7d6141a
SHA1: b49ae0e7d50528dd00e7bd2f98066a33a253c4a1
SHA256: 0d51c9062f6e307fe22cd5ff6e459f49eec300432e3cffecd91a2e2675d96e58
SHA512: 144b876869dab2f699fbf4822dcab1de2b0755abd3b9e1e6c2122535eb773ee7f60c8d242a4c3e8245de31459a688d400b052b15d978313cb0b1d0c3b0747a68
Homepage: https://cran.r-project.org/package=streamy
Description: CRAN Package 'streamy' (Inline Asynchronous Generator Results into Documents)
 Given a 'coro' asynchronous generator instance that produces text, write
 that text into a document selection in 'RStudio' and 'Positron'. This is
 particularly helpful for streaming large language model responses into the
 user's editor.

Package: r-cran-streetscape
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-cli, r-cran-dplyr, r-cran-sf, r-cran-sp, r-cran-httr, r-cran-reticulate, r-cran-osmdata, r-cran-quickpwcr, r-cran-mapview, r-cran-superpixelimagesegmentation, r-cran-openimager, r-cran-pbmcapply, r-cran-parallelly
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-streetscape_1.0.5-1.ca2004.1_all.deb
Size: 605720
MD5sum: e570215f31a72d77b9ff94184d5e55c1
SHA1: 05c3108380859f373627232d9d8f42c86b5fc282
SHA256: 80e25806b34386ba603e57974174eb871db16240b8fee6928ab464d6edb68983
SHA512: 870ad1f73acc6516c5a82481b05cb8879b99ce72d4b22862097a9e7f3cac8c79fe43f8de6f5a70a359a95accca825afa933d62dbff1402290046e39a364ef42e
Homepage: https://cran.r-project.org/package=streetscape
Description: CRAN Package 'streetscape' (Collect and Investigate Street Views for Urban Science)
 A collection of functions to search and download street view imagery
 ('Mapilary' <https://www.mapillary.com/developer/api-documentation>) and to
 extract, quantify, and visualize visual features. Moreover, there are
 functions provided to generate Qualtrics survey in TXT format using the
 collection of street views for various research purposes.

Package: r-cran-streg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-adgoftest, r-cran-numderiv, r-cran-mcmcpack, r-cran-matlab, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-streg_1.1-1.ca2004.1_all.deb
Size: 115948
MD5sum: 29ae4b4c16a14564bfa1e2ddeceb00fd
SHA1: 4fce8bf68c3842d348ce2cdb6c875afe01be9960
SHA256: 62c9a454088045a47385aeb36a3fa85b52a098372afd05cbec2fe597ccef623c
SHA512: 1a58e4e6f38285a7ff370056e06de03e10b1bf8f7bd4a8e229fcda99afb14ec3ba2b94640f09b494c02f84401f561f7ada99b41c9a05e66163d50a5f610354aa
Homepage: https://cran.r-project.org/package=StReg
Description: CRAN Package 'StReg' (Student's t Regression Models)
 It contains functions to estimate multivariate Student's t dynamic and
 static regression models for given degrees of freedom and lag length. Users
 can also specify the trends and dummies of any kind in matrix form.
 Poudyal, N., and Spanos, A. (2022) <doi:10.3390/econometrics10020017>.
 Spanos, A. (1994) <http://www.jstor.org/stable/3532870>.

Package: r-cran-stressaddition
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-drc, r-cran-plotrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stressaddition_3.1.0-1.ca2004.1_all.deb
Size: 78716
MD5sum: 28b9b0b46b5602bbbe81cd3fc96c85f6
SHA1: 2b72eabfa4db7b6fc096b9ee31e3a45cbc841db7
SHA256: ba599051962ef62b8990c7403fd43635cbd600c73df76994c1d13c5ec0b80c6f
SHA512: 09c9f897505316288b35204bb69aa2bdcbf5158a761ee604fb97956d672c0ad796fce97f9a99a017012f1653f74393f1ac704770d540b017506067a7abac1b38
Homepage: https://cran.r-project.org/package=stressaddition
Description: CRAN Package 'stressaddition' (Modelling Tri-Phasic Concentration-Response Relationships)
 The stress addition approach is an alternative to the traditional
 concentration addition or effect addition models. It allows the modelling of
 tri-phasic concentration-response relationships either as single toxicant
 experiments, in combination with an environmental stressor or as mixtures of
 two toxicants. See Liess et al. (2019) <doi:10.1038/s41598-019-51645-4> and
 Liess et al. (2020) <doi:10.1186/s12302-020-00394-7>.

Package: r-cran-stressor
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-mlbench, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stressor_0.2.0-1.ca2004.1_all.deb
Size: 290252
MD5sum: 579f5f17b9c18664d0967446ecac9904
SHA1: b88c1e3c475f4dbeeb7c66c0f0e89f1f19607d17
SHA256: 2c60a2c425742a814efa44513fc7b0513d141a532d203468f512300f35ef5320
SHA512: 2cbca1e92233ac5b9b5464dc1bd76e846cbcc062206e87bf95f5bb7113faef68ec04bd8e918a0adfebdd9bd981b4143431335796eff224ea76fe7df57c413a23
Homepage: https://cran.r-project.org/package=stressor
Description: CRAN Package 'stressor' (Algorithms for Testing Models under Stress)
 Traditional model evaluation metrics fail to capture model performance under
 less than ideal conditions. This package employs techniques to evaluate
 models "under-stress". This includes testing models' extrapolation ability,
 or testing accuracy on specific sub-samples of the overall model space.
 Details describing stress-testing methods in this package are provided in
 Haycock (2023) <doi:10.26076/2am5-9f67>. The other primary contribution of
 this package is provided to R users access to the 'Python' library 'PyCaret'
 <https://pycaret.org/> for quick and easy access to auto-tuned machine
 learning models.

Package: r-cran-stressr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2895
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-xml, r-cran-lattice, r-cran-latticeextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stressr_1.0.0-1.ca2004.1_all.deb
Size: 2416640
MD5sum: 6f0e4f5cdc2ef3dc139deedeea7edba7
SHA1: 29735ca9dee4e4584cd82663a380e0e1bcb21acc
SHA256: 921213c984c87bcb7230401a6ddaea177bd5ee8376aa4f20481ff1e487fb4243
SHA512: 77e30f1694bd18f340290d9947446a866ececc4245fd1aa71e77eab87f55fa2dc24cb94f1161bbdd44ace1ffb0e3adae5dafe59a3a7d819ea78130cd749627b2
Homepage: https://cran.r-project.org/package=stressr
Description: CRAN Package 'stressr' (Fetch and plot financial stress index and component data)
 Forms queries to submit to the Cleveland Federal Reserve Bank web site's
 financial stress index data site.  Provides query functions for both the
 composite stress index and the components data. By default the download
 includes daily time series data starting September 25, 1991.  The functions
 return a class of either type easing or cfsi which contain a list of items
 related to the query and its graphical presentation.  The list includes the
 time series data as an xts object.  The package provides four lattice time
 series plots to render the time series data in a manner similar to the
 bank's own presentation.

Package: r-cran-stressstrength
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stressstrength_1.0.2-1.ca2004.1_all.deb
Size: 27328
MD5sum: b2889f7b4968870d337c22c285c0fac1
SHA1: 1df80b0795698fa5dbce44de340ba6c014225b5e
SHA256: 5b067309bb771e4c8c8b7b011fd9eb54813277ccbaca1a053d985c53d68bcde5
SHA512: 3798f603942d0810d801a14ce11dbaf3936bcfd22271773fda8669101590bdc732a16b94be4fecf1a6984b2d82a295d459ff8496981962e4e7ff054917c429c8
Homepage: https://cran.r-project.org/package=StressStrength
Description: CRAN Package 'StressStrength' (Computation and Estimation of Reliability of Stress-StrengthModels)
 Reliability of (normal) stress-strength models and for building two-sided or
 one-sided confidence intervals according to different approximate
 procedures.

Package: r-cran-string2adjmatrix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-string2adjmatrix_0.1.0-1.ca2004.1_all.deb
Size: 15000
MD5sum: 70ea96b3d8c7f65e352058f61b3922bb
SHA1: 9af48727f8394c35ef9c097fabf6a8c5efd55bc3
SHA256: f12ad53dcea198cebaed3f795dce4bca26d37b6eb7da49af011870517845daa9
SHA512: 0927d6b4e27ed8a53a7b1e28ae6d367816ee8a9098ae1e64b3d3cc8ebc1e102cdc481ab7e22137cfbf8d354352890192888d0eb1bcfa60be22ab63fb925f240e
Homepage: https://cran.r-project.org/package=String2AdjMatrix
Description: CRAN Package 'String2AdjMatrix' (Creates an Adjacency Matrix from a List of Strings)
 Takes a list of character strings and forms an adjacency matrix for the
 times the specified characters appear together in the strings provided. For
 use in social network analysis and data wrangling. Simple package, comprised
 of three functions.

Package: r-cran-stringb
Architecture: all
Version: 0.1.17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2660
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-backports
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-stringb_0.1.17-1.ca2004.1_all.deb
Size: 384104
MD5sum: 715f775cf257bd92c0c5b48ab4f73014
SHA1: 14b8f3926ea7253efa56bb76f27699cabb271a7e
SHA256: fc3dc89765d9332b965e069b38d04af5d2df9d55cfa47e9f7f71c187a86eda9e
SHA512: 89a5be6e0a339bf4961a04a3431395302866ebfef7163c475e6f5a0e3829cfc20d193ba9b8645619cc2af9260f0402db673f2235ccdf94f572a35d0621e33a3d
Homepage: https://cran.r-project.org/package=stringb
Description: CRAN Package 'stringb' (Convenient Base R String Handling)
 Base R already ships with string handling capabilities 'out- of-the-box' but
 lacks streamlined function names and workflow. The 'stringi' ('stringr')
 package on the other hand has well named functions, extensive Unicode
 support and allows for a streamlined workflow. On the other hand it adds
 dependencies and regular expression interpretation between base R functions
 and 'stringi' functions might differ. This packages aims at providing a
 solution to the use case of unwanted dependencies on the one hand but the
 need for streamlined text processing on the other. The packages' functions
 are solely based on wrapping base R functions into 'stringr'/'stringi' like
 function names.  Along the way it adds one or two extra functions and last
 but not least provides all functions as generics, therefore allowing for
 adding methods for other text structures besides plain character vectors.

Package: r-cran-stringformattr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-stringformattr_0.1.2-1.ca2004.1_all.deb
Size: 13804
MD5sum: 8d5c6a07df6e8df606e34c6de87ae20f
SHA1: 94ca93f3914303ccf82b535a6fe9613261c5a3ba
SHA256: 39764eafeeb01375473259c00586e6c7bffb35321ba9bd444a59eebc58526727
SHA512: d9752e30b04f4aade0d59eaca03a1da5e53a813d78f0036dae89dc649b4128d24d14a81d45c2051a3033a72f36e7879356d6faffc8c9a03d5a9501dda3d8e072
Homepage: https://cran.r-project.org/package=stringformattr
Description: CRAN Package 'stringformattr' (Dynamic String Formatting)
 Pass named and unnamed character vectors into specified positions in
 strings. This represents an attempt to replicate some of python's string
 formatting.

Package: r-cran-stringr
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 567
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-rlang, r-cran-stringi, r-cran-vctrs
Suggests: r-cran-covr, r-cran-dplyr, r-cran-gt, r-cran-htmltools, r-cran-htmlwidgets, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-stringr_1.5.1-1.ca2004.1_all.deb
Size: 285052
MD5sum: 1c2f622bd617670e7b410995898a619e
SHA1: 73882038b621a8472bee5df202beb14945ba9947
SHA256: 048aaa8026bf27222a01e7b6cbfa1a538fdbf65811942e00ccb4f4ed9deba069
SHA512: 2920359f070a8071028ce75b42603ce1cd852645fc853434997cc3cea5bcb412d3c67013db4ad6bc3d9345a0bc34cdf8e952817f0b261a0204eb99672cf009e3
Homepage: https://cran.r-project.org/package=stringr
Description: CRAN Package 'stringr' (Simple, Consistent Wrappers for Common String Operations)
 A consistent, simple and easy to use set of wrappers around the fantastic
 'stringi' package. All function and argument names (and positions) are
 consistent, all functions deal with "NA"'s and zero length vectors in the
 same way, and the output from one function is easy to feed into the input of
 another.

Package: r-cran-stringstatic
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 551
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stringstatic_0.1.2-1.ca2004.1_all.deb
Size: 440384
MD5sum: 9b0908396180ab2fd4b36aacedd2a928
SHA1: decd7dd3417f625aba4ae79a9fdd296fd82a13f8
SHA256: 1e75de5e047bcf4b092a83617cee76ea13b6db6492c0426e0090f5a59cadf36d
SHA512: fd7e15107fd9c31784744e6a4c2a4d77c1cad222443f7d36fb3cab2dbafca5b9e9989b3f3eff99c5763897d3bcb584a588c1c6872c0c72ae74df471c348fd431
Homepage: https://cran.r-project.org/package=stringstatic
Description: CRAN Package 'stringstatic' (Dependency-Free String Operations)
 Provides drop-in replacements for functions from the 'stringr' package, with
 the same user interface. These functions have no external dependencies and
 can be copied directly into your package code using the 'staticimports'
 package.

Package: r-cran-stringx
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi
Suggests: r-cran-realtest
Filename: pool/dists/focal/main/r-cran-stringx_0.2.9-1.ca2004.1_all.deb
Size: 219484
MD5sum: 25483516264b17ba30cb80c0cbb02192
SHA1: 361e76b6e2f5d1e0e691d4965e25e29c045ada9e
SHA256: 754768d8303b42acc3ad9745513dff655cc7e8c59ddc6ed98f5139b8663b729b
SHA512: 44c584aa0fa3f2e2f87d78a7c577e513ac7108240dbbd4586c8b69553457483a3351ef36458f91a9e285a28cb4a121890f4d3a3118c461a80ba2529afddad724
Homepage: https://cran.r-project.org/package=stringx
Description: CRAN Package 'stringx' (Replacements for Base String Functions Powered by 'stringi')
 English is the native language for only 5% of the World population.  Also,
 only 17% of us can understand this text. Moreover, the Latin alphabet is the
 main one for merely 36% of the total.  The early computer era, now a very
 long time ago, was dominated by the US.  Due to the proliferation of the
 internet, smartphones, social media, and other technologies and
 communication platforms, this is no longer the case.  This package replaces
 base R string functions (such as grep(), tolower(), sprintf(), and
 strptime()) with ones that fully support the Unicode standards related to
 natural language and date-time processing. It also fixes some long-standing
 inconsistencies, and introduces some new, useful features.  Thanks to 'ICU'
 (International Components for Unicode) and 'stringi', they are fast,
 reliable, and portable across different platforms.

Package: r-cran-strip
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlist
Suggests: r-cran-caret, r-cran-e1071, r-cran-knitr, r-cran-randomforest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-strip_1.0.0-1.ca2004.1_all.deb
Size: 29392
MD5sum: 09a364fe24e178e64bef3ea816221afa
SHA1: 0bf03bc3f965a8a000f26f3d4843875b52b6a3f4
SHA256: c02104a353ffd1ce45b3ffc5dcfbd29d448e5a99d538e6081689c31e3cfb5ba8
SHA512: 69038f4b89f6d1b46e7188d11d5bc7842c9aa513cb86036dee8aa65660477d4d05c1fa46278615688ad9d0e0cbeb087ce9ae12e81e2edefbed8ef53f5562d9ab
Homepage: https://cran.r-project.org/package=strip
Description: CRAN Package 'strip' (Lighten your R Model Outputs)
 The strip function deletes components of R model outputs that are useless
 for specific purposes, such as predict[ing], print[ing], summary[izing],
 etc.

Package: r-cran-stripless
Architecture: all
Version: 1.0-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1352
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-knitr, r-cran-faraway, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-stripless_1.0-3-1.ca2004.1_all.deb
Size: 617472
MD5sum: 74034e48282467a27c226677143bc9be
SHA1: 13f5a79e450a6ff2c10c514af447f6aeb138d1f1
SHA256: ebf19d9c30f77d024d92a47106134437a55859f1607f0e7751813101e4349377
SHA512: 01c4f1e1703afb496078e5aa36fcdeb900500a61e208427a7b18b2d8b5a992cebeb2dc4cadd4bc3cf25ff4cfa2d97a5faa2818db025f0eb3ab4953f264655df4
Homepage: https://cran.r-project.org/package=stripless
Description: CRAN Package 'stripless' (Structured Trellis Displays Without Strips for Lattice Graphics)
 For making Trellis-type conditioning plots without strip labels.  This is
 useful for displaying the structure of results from factorial designs and
 other studies when many conditioning variables would clutter the display
 with layers of redundant strip labels. Settings of the variables are encoded
 by layout and spacing in the trellis array and decoded by a separate legend.
 The functionality is implemented by a single S3 generic strucplot() function
 that is a wrapper for the Lattice package's xyplot() function. This allows
 access to all Lattice graphics capabilities in the usual way.

Package: r-cran-strmps
Architecture: all
Version: 0.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 924
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-biostrings, r-bioc-shortread, r-bioc-pwalign, r-bioc-iranges, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-strmps_0.6.8-1.ca2004.1_all.deb
Size: 522432
MD5sum: 101141efe71fd4281412b611459ec692
SHA1: 7a1bf6b79da6b62e7fcf1c29721bbf570d7d4e8f
SHA256: 3974182eaf1c10fbfcce4bd158c49cfc92f6deea335257808c50f0b5a5083dc2
SHA512: 02b24bc8953b8cc1e4298637a45bae49f84709116c465106540c2f0c6a27154ada00bb8fe5ad274f253cbfc2a36d07ad7a4bb4e27ab681c07a2438ad389ea4c5
Homepage: https://cran.r-project.org/package=STRMPS
Description: CRAN Package 'STRMPS' (Analysis of Short Tandem Repeat (STR) Massively ParallelSequencing (MPS) Data)
 Loading, identifying, aggregating, manipulating, and analysing short tandem
 repeat regions of massively parallel sequencing data in forensic genetics.
 The analyses and framework implemented in this package relies on the papers
 of Vilsen et al. (2017) <doi:10.1016/j.fsigen.2017.01.017> and Vilsen et al.
 (2018) <doi:10.1016/j.fsigen.2018.04.003>. Note: that the parallelisation in
 the package relies on mclapply() and, thus, speed-ups will only be seen on
 UNIX based systems.

Package: r-cran-stroke
Architecture: all
Version: 24.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 438
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-calendar, r-cran-dplyr, r-cran-ggplot2, r-cran-gtsummary, r-cran-lubridate, r-cran-mass, r-cran-rankinplot, r-cran-tidyr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-here, r-cran-spelling, r-cran-usethis, r-cran-pak, r-cran-roxygen2, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-stroke_24.10.1-1.ca2004.1_all.deb
Size: 280428
MD5sum: 65ae98ce0c637f6e9cb2c2dc52bb5777
SHA1: e820a98649a84cb278eb31e99a94344bc76f64a5
SHA256: 06a70220c73cc07ecf840110e9d40874381263d49ce4c586775f9b052246892d
SHA512: c0c183da96acb931b4a81c50952fbb39bc8ee35e7e4d5bf51a36e6b761fcb654c094542c5ef850ed7aef4a4dadff8b1f572b84b52d428e36b2d803b981b1c3d1
Homepage: https://cran.r-project.org/package=stRoke
Description: CRAN Package 'stRoke' (Clinical Stroke Research)
 A collection of tools for clinical trial data management and analysis in
 research and teaching.  The package is mainly collected for personal use,
 but any use beyond that is encouraged.  This package has migrated functions
 from 'agdamsbo/daDoctoR', and new functions has been added.  Version follows
 months and year. See NEWS/Changelog for release notes.  This package
 includes sampled data from the TALOS trial (Kraglund et al (2018)
 <doi:10.1161/STROKEAHA.117.020067>).  The win_prob() function is based on
 work by Zou et al (2022) <doi:10.1161/STROKEAHA.121.037744>.  The age_calc()
 function is based on work by Becker (2020) <doi:10.18637/jss.v093.i02>.

Package: r-cran-stroupglmm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-aod, r-cran-broom.mixed, r-cran-car, r-cran-dplyr, r-cran-emmeans, r-cran-ggplot2, r-cran-lattice, r-cran-lmertest, r-cran-magrittr, r-cran-mass, r-cran-mutoss, r-cran-nlme, r-cran-parameters, r-cran-phia, r-cran-scatterplot3d, r-cran-survey
Filename: pool/dists/focal/main/r-cran-stroupglmm_0.3.0-1.ca2004.1_all.deb
Size: 134112
MD5sum: ff0bc43511874170846acd85a4a3b233
SHA1: b038b15d29762d23c88adf37a64cd43d80a29935
SHA256: af6f1162862e5ba56e90c63fd1f3253eb0947fa384b96838c97fe784b95f00a2
SHA512: ed7350754b5695def0d0401497166d3404dda3edf287e4b893586d3620b9d193ef5bcbb07b6266fb940f1d79c4ac2a3ff4622f681c0bdf90323e948a2c1fbfe7
Homepage: https://cran.r-project.org/package=StroupGLMM
Description: CRAN Package 'StroupGLMM' (R Codes and Datasets for Generalized Linear Mixed Models: ModernConcepts, Methods and Applications by Walter W. Stroup)
 R Codes and Datasets for Stroup, W. W. (2012). Generalized Linear Mixed
 Models Modern Concepts, Methods and Applications, CRC Press.

Package: r-cran-strs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-strs_0.1.0-1.ca2004.1_all.deb
Size: 79212
MD5sum: 6f1546af5be522e5fa62bb77e5de4490
SHA1: cb24d838c3ca2e7be8870b3ffd82aebb2fe9099d
SHA256: 5511fdecbbe55f1371a93a4417803b339f4a74518f6f616781e247f5e1996458
SHA512: b72ef12d2019e507c64190fe685e019c479588e85e3a10a8ad01788babbe0d7f7b71e92b6d40bc9ae4213038c1207466b6138e112b61f84131f844c610ee0ba5
Homepage: https://cran.r-project.org/package=strs
Description: CRAN Package 'strs' ('Python' Style String Functions)
 A comprehensive set of string manipulation functions based on those found in
 'Python' without relying on 'reticulate'. It provides functions that intend
 to (1) make it easier for users familiar with 'Python' to work with strings,
 (2) reduce the complexity often associated with string operations, (3) and
 enable users to write more readable and maintainable code that manipulates
 strings.

Package: r-cran-structfdr
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 661
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nlme, r-cran-ape, r-cran-cluster, r-cran-dirmult, r-cran-matrixstats
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-structfdr_1.4-1.ca2004.1_all.deb
Size: 474316
MD5sum: 65bcc375c42edc9f8c10f0f0943ddef3
SHA1: 6e9c8dfcf839f8ead6c55c88f7cbb1975573104f
SHA256: f3e5c6e073898e58651455189e205a02b3a0f808f6aff25a7ff47c6d840a25d9
SHA512: 24b5df2c8754828d676fe2e42ff09be0703afe96f67e8089b6638f7e334c642ce75aa07688b90528924c594397d8bdcb8dd53f2958d5530943b11e550cf42cfe
Homepage: https://cran.r-project.org/package=StructFDR
Description: CRAN Package 'StructFDR' (False Discovery Control Procedure Integrating the PriorStructure Information)
 Perform more powerful false discovery control (FDR) for microbiome data,
 taking into account the prior phylogenetic relationship among bacteria
 species.  As a general methodology, it is applicable to any type of
 (genomic) data with prior structure information.

Package: r-cran-structree
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-lme4, r-cran-penalized
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-structree_1.1.7-1.ca2004.1_all.deb
Size: 329844
MD5sum: 3ecd976d7bb7039265fe38f5bda8f8e2
SHA1: 12a6d22cf51ed9a0ce94485d7ffa58ae9c914f03
SHA256: 8856e9bde363bef6ca069dc9300044ed979f0d7fb140d447f95045da7843535a
SHA512: ce7fc2a3d973a712b190e9372937b2a2a4325b46c2fe43caacbb6685f236fb98f5f2b094e632d0fd2951bf34998c41693e75e27e853c053ffbcd8fe3136299b1
Homepage: https://cran.r-project.org/package=structree
Description: CRAN Package 'structree' (Tree-Structured Clustering)
 Tree-structured modelling of categorical predictors (Tutz and Berger (2018),
 <doi:10.1007/s11634-017-0298-6>) or measurement units (Berger and Tutz
 (2018), <doi:10.1080/10618600.2017.1371030>).

Package: r-cran-structuraldecompose
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-changepoint, r-cran-segmented, r-cran-strucchange
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-structuraldecompose_0.1.1-1.ca2004.1_all.deb
Size: 110312
MD5sum: e50458c00579230b6f24fa17c0ed8830
SHA1: e36711304e292b7fa3725d217d36c089d04d9ac6
SHA256: 9f8a7ce83db565a780ed24fb2d204982033f34985eba5a035968f9e50502ab2f
SHA512: 2760e65dad026c8367d7813d444e05be875e558b1e66637f6a6c8eca4ea8cbc4cac3ee27dcc301e19869dbd55c945d4c846909710eceea524c75ed5a39778fb9
Homepage: https://cran.r-project.org/package=StructuralDecompose
Description: CRAN Package 'StructuralDecompose' (Decomposes a Level Shifted Time Series)
 Explains the behavior of a time series by decomposing it into its trend,
 seasonality and residuals.  It is built to perform very well in the presence
 of significant level shifts. It is designed to play well with any breakpoint
 algorithm and any smoothing algorithm. Currently defaults to 'lowess' for
 smoothing and 'strucchange' for breakpoint identification. The package is
 useful in areas such as trend analysis, time series decomposition,
 breakpoint identification and anomaly detection.

Package: r-cran-structuremc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-matrixcalc
Filename: pool/dists/focal/main/r-cran-structuremc_1.0-1.ca2004.1_all.deb
Size: 16820
MD5sum: 8e7db7fe018f17e96e92e116b11e3a06
SHA1: dadec169feac92953c6bbe693081544cbdfd969f
SHA256: 83781d7248b81446aff93f6fc132487d757904913504ca5dc820731c82779dc8
SHA512: dc897bc599b5c692c66db068781462cb6f38b3361ee78ef93091755510d5a21a40d3a86065d801a737593779cfc9255037ff164de73a4a6099a3d18d9c64c59c
Homepage: https://cran.r-project.org/package=StructureMC
Description: CRAN Package 'StructureMC' (Structured Matrix Completion)
 Provides an efficient method to recover the missing block of an
 approximately low-rank matrix. Current literature on matrix completion
 focuses primarily on independent sampling models under which the individual
 observed entries are sampled independently. Motivated by applications in
 genomic data integration, we propose a new framework of structured matrix
 completion (SMC) to treat structured missingness by design [Cai T, Cai TT,
 Zhang A (2016) <doi:10.1080/01621459.2015.1021005>]. Specifically, our
 proposed method aims at efficient matrix recovery when a subset of the rows
 and columns of an approximately low-rank matrix are observed. The main
 function in our package, smc.FUN(), is for recovery of the missing block A22
 of an approximately low-rank matrix A given the other blocks A11, A12, A21.

Package: r-cran-strvalidator
Architecture: all
Version: 2.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3754
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-gwidgets2, r-cran-gwidgets2tcltk, r-cran-gridextra, r-cran-gtable, r-cran-plyr, r-cran-scales, r-cran-data.table, r-cran-dt, r-cran-dplyr, r-cran-plotly, r-cran-mass
Suggests: r-cran-resourceselection, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-strvalidator_2.4.1-1.ca2004.1_all.deb
Size: 2217252
MD5sum: 841ce63027f89e84aef0e6b31d491630
SHA1: 8b14c0bed7ce9c1248869b596423c4f6e6c6f733
SHA256: 13bd0031d69f682fc2c7b25c69eb9706bcb388981abdc39888c65094fc7e5d01
SHA512: 1d8e502fff01b2c1d81a4c7ccf8514bcc34a0e47fb3c391f031f26673e973cc76b930b912eea52c2f33158cd144fc81e7524eabf08021dc7f28dec20eec59519
Homepage: https://cran.r-project.org/package=strvalidator
Description: CRAN Package 'strvalidator' (Process Control and Validation of Forensic STR Kits)
 An open source platform for validation and process control.  Tools to
 analyze data from internal validation of forensic short tandem repeat (STR)
 kits are provided. The tools are developed to provide the necessary data to
 conform with guidelines for internal validation issued by the European
 Network of Forensic Science Institutes (ENFSI) DNA Working Group, and the
 Scientific Working Group on DNA Analysis Methods (SWGDAM). A front-end
 graphical user interface is provided.  More information about each function
 can be found in the respective help documentation.

Package: r-cran-stsd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-stsd_0.2.0-1.ca2004.1_all.deb
Size: 217684
MD5sum: ce7400da7b125b914a201ec086d15d2e
SHA1: 3d04c7f593fd12b8c7a28f24eadd9a2f67d80a07
SHA256: 24bba54a78c41e6332258be555e0608b4e6fcbe4f8ae57e1c736597723c108b5
SHA512: 907818d84bfba5da8a089a7a1207d3b39d8372489e388ee84575f4e54daa31184efc690df587a6cefb5f1cd75c2201369765b586608d6ef5feaba02a8f9b612e
Homepage: https://cran.r-project.org/package=sTSD
Description: CRAN Package 'sTSD' (Simulate Time Series Diagnostics)
 These are tools that allow users to do time series diagnostics, primarily
 tests of unit root, by way of simulation. While there is nothing necessarily
 wrong with the received wisdom of critical values generated decades ago,
 simulation provides its own perks. Not only is simulation broadly
 informative as to what these various test statistics do and what are their
 plausible values, simulation provides more flexibility for assessing unit
 root by way of different thresholds or different hypothesized distributions.

Package: r-cran-stuart
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-lavaan, r-cran-mplusautomation, r-cran-sn
Filename: pool/dists/focal/main/r-cran-stuart_0.10.2-1.ca2004.1_all.deb
Size: 371464
MD5sum: 7c36fb2cbfdc6565b99c7cab24c016fc
SHA1: a98bc90209b40412fc18892a0c5cf1aff485748b
SHA256: 2e833be8e941c27d08d282fc4de50d9045e6d2b2e68c80942efcbdf6cd295cf1
SHA512: a246bbbf84a95e462586a7ef5ba11a597cb48d97c7e15d9ee5b9be3c64bfb8cbb8193c57dbe3a491133486edd822c30a63ac1cdb940315da29aad55dc8d1b392
Homepage: https://cran.r-project.org/package=stuart
Description: CRAN Package 'stuart' (Subtests Using Algorithmic Rummaging Techniques)
 Construct subtests from a pool of items by using ant-colony-optimization,
 genetic algorithms, brute force, or random sampling.  Schultze (2017)
 <doi:10.17169/refubium-622>.

Package: r-cran-studentlife
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-readr, r-cran-tidyr, r-cran-dplyr, r-cran-jsonlite, r-cran-tibble, r-cran-r.utils, r-cran-skimr, r-cran-visdat, r-cran-ggplot2, r-cran-crayon
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-studentlife_1.1.0-1.ca2004.1_all.deb
Size: 152656
MD5sum: 4e851b329ee81d1d23b0740bfd9e15e0
SHA1: aa7c47bca71d0eacfed5cb55766ef31d47541841
SHA256: cb7760916d41930a1e71182bb3c0d326851ac276f3c56c61676eed076cdb6bbb
SHA512: af8ab28ca8791508f8edb43048be5814335ba4647b576a2102c327bb2a0697bf09c85eac518e138805ef3b5270d153f9784ff6e22e827d0c95dfb8f4f791b7c8
Homepage: https://cran.r-project.org/package=studentlife
Description: CRAN Package 'studentlife' (Tidy Handling and Navigation of the Student-Life Dataset)
 Download, navigate and analyse the Student-Life dataset.  The Student-Life
 dataset contains passive and automatic sensing data from the phones of a
 class of 48 Dartmouth college students.  It was collected over a 10 week
 term. Additionally, the dataset contains ecological momentary assessment
 results along with pre-study and post-study mental health surveys. The
 intended use is to assess mental health, academic performance and behavioral
 trends.  The raw dataset and additional information is available at
 <https://studentlife.cs.dartmouth.edu/>.

Package: r-cran-studystrap
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-tidyverse, r-cran-pls, r-cran-matrixcorrelation, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-studystrap_1.0.0-1.ca2004.1_all.deb
Size: 87572
MD5sum: ed985711e202c95fe6483a03177fd186
SHA1: 6daa3df0dfdef2d59f6fd1f8caaf993607359144
SHA256: c961c8a7fcbcaba4c641533202ae9c14009429b641dda5385a49e170f1cdfa0c
SHA512: 0a3f65b14a8cc5cd6c4fb850a36b8af79965e8fe0486d42fa561abd9cf90ea00ff6c76cb21d23be1d7522383696f302f32deebc1e190adf506d4d35396b28df0
Homepage: https://cran.r-project.org/package=studyStrap
Description: CRAN Package 'studyStrap' (Study Strap and Multi-Study Learning Algorithms)
 Implements multi-study learning algorithms such as merging, the
 study-specific ensemble (trained-on-observed-studies ensemble) the study
 strap, the covariate-matched study strap, covariate-profile similarity
 weighting, and stacking weights.  Embedded within the 'caret' framework,
 this package allows for a wide range of single-study learners (e.g., neural
 networks, lasso, random forests).  The package offers over 20 default
 similarity measures and allows for specification of custom similarity
 measures for covariate-profile similarity weighting and an accept/reject
 step.  This implements methods described in Loewinger, Kishida, Patil, and
 Parmigiani. (2019) <doi:10.1101/856385>.

Package: r-cran-stupscales
Architecture: all
Version: 1.0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1063
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mar, r-cran-lmom, r-cran-doparallel, r-cran-foreach, r-cran-lattice, r-cran-msm, r-cran-ggplot2, r-cran-moments, r-cran-hydrogof, r-cran-zoo, r-cran-data.table, r-cran-xts, r-cran-emistatr
Suggests: r-cran-sp, r-cran-spacetime
Filename: pool/dists/focal/main/r-cran-stupscales_1.0.3.5-1.ca2004.1_all.deb
Size: 778480
MD5sum: 2de90a17b5541922968747457eb83ce6
SHA1: 34aad9db1c851ded68dd2cc30c279e4acafef89a
SHA256: 433120120c844a71bc066a8d84d81ef37e683e98bca7fb673e9a85bf05faef05
SHA512: c3ce60af60b5d3e3a04835101629f67a53f0976e3ee571f371d1faa0ec90f4d0f27b34c536b38b7cfe08dd54ed336c56a5e308364bbb6ac7de3d20c418ae2ed2
Homepage: https://cran.r-project.org/package=stUPscales
Description: CRAN Package 'stUPscales' (Spatio-Temporal Uncertainty Propagation Across Multiple Scales)
 Integrated environmental modelling requires coupling sub-models at different
 spatial and temporal scales, thus accounting for change of support
 procedures (aggregation and disaggregation). We contribute to
 state-of-the-art open source tools that support uncertainty propagation
 analysis in temporal and spatio-temporal domains. We implement the tool for
 uncertainty propagation in environmental modelling, with examples in the
 urban water domain.  The functionalities of the class setup and the methods
 and functions MC.setup, MC.sim, MC.analysis, MC.analysis_generic and Agg.t
 are contained, which are used for setting up, running and analysing Monte
 Carlo uncertainty propagation simulations, and for spatio-temporal
 aggregation. We also implement functionalities to model and predict
 variables that vary in space and time. stUPscales takes uncertainty
 characterisation and propagation a step further by including temporal and
 spatio-temporal auto- and cross-correlation, resulting in more realistic
 (spatio-)temporal series of environmental variables. Due to its modularity,
 the package allows the implementation of additional methods and functions
 for spatio-temporal disaggregation of model inputs and outputs, when linking
 models across multiple space-time scales.

Package: r-cran-stv
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-stv_1.0.3-1.ca2004.1_all.deb
Size: 44212
MD5sum: b508aa70778a9dd2c3d6d4078c9eee20
SHA1: f34e84e6324e9ff9d6b1a0465dd12f444bda815e
SHA256: b6b693dfacc8715329f2a643e221d30e4569c73b63a84e59ca59c9c2be03b898
SHA512: bcce87ff67f4a8b280673ff6ed302bbf695796245e7ce9e3579f60af1d50651fbd06772484915224ef9ce4109a62e208f1e643262148cd6e21264293a30a48f6
Homepage: https://cran.r-project.org/package=STV
Description: CRAN Package 'STV' (Single Transferable Vote Counting)
 Implementations of the Single Transferable Vote counting system. By default,
 it uses the Cambridge method for surplus allocation and Droop method for
 quota calculation.  Fractional surplus allocation and the Hare quota are
 available as options.

Package: r-cran-stvar
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-adgoftest, r-cran-numderiv, r-cran-mcmcpack, r-cran-matlab
Filename: pool/dists/focal/main/r-cran-stvar_1.1-1.ca2004.1_all.deb
Size: 93236
MD5sum: bcb848724b4dd81d6bde2e11bdbbcc0d
SHA1: f1cb34e0b54043841a175d30fa8d8b7ebd159e22
SHA256: 5027543b5bb7a9339926c9304642d3cce71a4de9724da05fba6dceaaa462115c
SHA512: d88a60a2a713f77848173f2745731597aa23348e03f4e8cf878c972a145ad67b56d8ec04e20939bb569551b3d900e0c7bf41777673ceeab6cfccee43471d070b
Homepage: https://cran.r-project.org/package=StVAR
Description: CRAN Package 'StVAR' (Student's t Vector Autoregression (StVAR))
 Estimation of multivariate Student's t dynamic regression models for a given
 degrees of freedom and lag length. Users can also specify the trends and
 dummies of any kind in matrix form.

Package: r-cran-stxplore
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4891
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fields, r-cran-ggmap, r-cran-ggplot2, r-cran-ggridges, r-cran-gridextra, r-cran-gstat, r-cran-lubridate, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-sp, r-cran-spacetime, r-cran-stars, r-cran-tidyr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ncmeta, r-cran-units, r-cran-maps, r-cran-cubelyr
Filename: pool/dists/focal/main/r-cran-stxplore_0.1.0-1.ca2004.1_all.deb
Size: 4224096
MD5sum: df4abdf40d28c3456359725f7de62710
SHA1: 60bae67f919c6ff730fd81c751fa1c76afd5aed9
SHA256: 4671f97fcf19dfbd3bf8f3395a94438ab09cfaf4cc6ccc9cc4f2cf060816bf63
SHA512: c6788ed9e49481ecbc48bc996d1814957e357ebaa2aed0ffb276f20dcc98eb9593b241976b496ef68aeb2f6028ad9280907d453e5845162faa934472171b52b0
Homepage: https://cran.r-project.org/package=stxplore
Description: CRAN Package 'stxplore' (Exploration of Spatio-Temporal Data)
 A set of statistical tools for spatio-temporal data exploration.  Includes
 simple plotting functions, covariance calculations and computations similar
 to principal component analysis for spatio-temporal data. Can use both
 dataframes and stars objects for all plots and computations. For more
 details refer 'Spatio-Temporal Statistics with R' (Christopher K. Wikle,
 Andrew Zammit-Mangion, Noel Cressie, 2019, ISBN:9781138711136).

Package: r-cran-styler
Architecture: all
Version: 1.10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1075
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-magrittr, r-cran-purrr, r-cran-r.cache, r-cran-rlang, r-cran-rprojroot, r-cran-vctrs, r-cran-withr
Suggests: r-cran-data.tree, r-cran-digest, r-cran-here, r-cran-knitr, r-cran-prettycode, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-styler_1.10.3-1.ca2004.1_all.deb
Size: 778460
MD5sum: 674f1a667adb98ab99f7cd8be98ed323
SHA1: 273e42e0563ac7d1c83a690ed5616c3c1fe38e30
SHA256: f0e08b47ce1f72fce12255123604b1b6e4e7a47e8d65cf2d9ccdbc73dd08d8e6
SHA512: 6513e6b8850cd7be653ff1844a42a7afa39610ba1ea0c9a937adc4fb74dff7bbf50c301b6e54c3cc457dcf5a8898c6ba9de6cc6d3b20b72c97ece91745578d09
Homepage: https://cran.r-project.org/package=styler
Description: CRAN Package 'styler' (Non-Invasive Pretty Printing of R Code)
 Pretty-prints R code without changing the user's formatting intent.

Package: r-cran-stylest2
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-quanteda
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-stylest2_0.1-1.ca2004.1_all.deb
Size: 74132
MD5sum: e9c36b5c8fa706914aad7dc095439727
SHA1: 5f312c06855549bfdb6a845ebc078575da6f5c5d
SHA256: d0dbfd7120302c499140cefb8dc7e92db8c45d85f4ed3f611250143b5af726cb
SHA512: 9da7937161b8a94afd01a6b2f184bc112694bed84f90a1b460706ac63624b7dea0011dcc19086e5d91da57b490b79e1f44af748599fb21d481fed0dee055d72c
Homepage: https://cran.r-project.org/package=stylest2
Description: CRAN Package 'stylest2' (Estimating Speakers of Texts)
 Estimates the authors or speakers of texts. Methods developed in Huang,
 Perry, and Spirling (2020) <doi:10.1017/pan.2019.49>. The model is built on
 a Bayesian framework in which the distinctiveness of each speaker is defined
 by how different, on average, the speaker's terms are to everyone else in
 the corpus of texts. An optional cross-validation method is implemented to
 select the subset of terms that generate the most accurate speaker
 predictions. Once a set of terms is selected, the model can be estimated.
 Speaker distinctiveness and term influence can be recovered from parameters
 in the model using package functions. Once fitted, the model can be used to
 predict authorship of new texts.

Package: r-cran-stylest
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corpus, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-stylest_0.2.0-1.ca2004.1_all.deb
Size: 64160
MD5sum: a6cca5aa8f1bce072c0994d4c5996e8e
SHA1: 66307ab3bc31da1bda3d3198f308f91f875d1ea6
SHA256: 62dfcd132734504763fcd157c6a2d6421ee5d31ec6c2d7b4333ef9ddec1252e1
SHA512: 6c8b7c6b5c0c5c481892a432892a816228b4a82b0d05d41313ddc4eec062b6f53042572f0e7adfb88401a50f893f1cf756dfd50adb44d4e51c6c2e386bfce0eb
Homepage: https://cran.r-project.org/package=stylest
Description: CRAN Package 'stylest' (Estimating Speaker Style Distinctiveness)
 Estimates distinctiveness in speakers' (authors') style. Fits models that
 can be used for predicting speakers of new texts. Methods developed in Huang
 et al (2020) <doi:10.1017/pan.2019.49>.

Package: r-cran-stylo
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2954
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tcltk2, r-cran-ape, r-cran-pamr, r-cran-e1071, r-cran-class, r-cran-lattice, r-cran-tsne
Suggests: r-cran-stringi, r-cran-networkd3, r-cran-readr
Filename: pool/dists/focal/main/r-cran-stylo_0.7.5-1.ca2004.1_all.deb
Size: 2971732
MD5sum: 9006f111daf10f5741bf5f14cfc5776d
SHA1: ca929c8985afdd0856c057e22c2a05ff99930493
SHA256: 7e1e6fd1eb01746aee50454b4afbca1fe3283fea00401e4c3ba1f1992a668e29
SHA512: 34f3baadef6873e22776c615560da6b7d9192cef94b3447b7e9dcc83066a0ef662ecbe865ab3b429cf8fd124de06df2e51313faca6c6b3c591c12b23caa0f4eb
Homepage: https://cran.r-project.org/package=stylo
Description: CRAN Package 'stylo' (Stylometric Multivariate Analyses)
 Supervised and unsupervised multivariate methods, supplemented by GUI and
 some visualizations, to perform various analyses in the field of
 computational stylistics, authorship attribution, etc. For further
 reference, see Eder et al. (2016),
 <https://journal.r-project.org/archive/2016/RJ-2016-007/index.html>. You are
 also encouraged to visit the Computational Stylistics Group's website
 <https://computationalstylistics.github.io/>, where a reasonable amount of
 information about the package and related projects are provided.

Package: r-cran-subcopem2d
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-subcopem2d_1.3-1.ca2004.1_all.deb
Size: 50572
MD5sum: 73062f58b0bdcfc2c2fd5ebe1ce794d2
SHA1: f4bd5a44a72db769a195cbd6d768fb1119a297a3
SHA256: b06cc86ae38c81b342cfcf59513c389abbb1e2d0ef85dd8bd75e6bb12442a3e1
SHA512: c0cd37f12a40f1279ad65fc12be2df39383f7ec66289c533bfe1f9ff683979d3fcf162ec07e016b7e3af7633d652a9823ab7420081681bf743b3b69bb5b4803e
Homepage: https://cran.r-project.org/package=subcopem2D
Description: CRAN Package 'subcopem2D' (Bivariate Empirical Subcopula)
 Calculate empirical subcopula and dependence measures from a given bivariate
 sample, and Bernstein copula approximations.

Package: r-cran-subcultcon
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-subcultcon_1.0-1.ca2004.1_all.deb
Size: 56352
MD5sum: e8f45cdc2ce7489368d4bdd8152c076b
SHA1: 15d381eae42f38041f3a523a949965e03ce3aabf
SHA256: 1805f832886e79d3ec67664262a457ef10ee54d69fd67fad11159c1c0dcf9653
SHA512: d7e60215cb89bfbf7d9ee32b5d3bd101a9dc3942755fd096203fb06d9d8e6b9e8ba17b8bdfc54e2b36c3aeb510da668531275bbf25c0f56db130a0f576729139
Homepage: https://cran.r-project.org/package=SubCultCon
Description: CRAN Package 'SubCultCon' (Maximum-Likelihood Cultural Consensus Analysis with Sub-Cultures)
 The three functions in the package compute the maximum likelihood estimates
 of the informants' competence scores, tests for two answer keys with known
 groups, and finds "best" split of the informants into sub-culture groups.

Package: r-cran-subdetect
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-subdetect_1.3-1.ca2004.1_all.deb
Size: 42380
MD5sum: 7a584806ea698e1a76fe061bed08d386
SHA1: b2b37487c67ead51f5270781b2d373713ff681dd
SHA256: 212954d880dacdc1cb951a28ba93ea673af7753124250fba0d1e853a9087e96a
SHA512: 04ee958eb29e35454ed76b889f3ab66e92769c6132f427a5ab75c477fa66342abb32a16b6e5c4b143c27783d4fd03ba71b76d89177b796d19febad2b2e04580c
Homepage: https://cran.r-project.org/package=subdetect
Description: CRAN Package 'subdetect' (Detect Subgroup with an Enhanced Treatment Effect)
 A test for the existence of a subgroup with enhanced treatment effect. And,
 a sample size calculation procedure for the subgroup detection test.

Package: r-cran-subformula
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-subformula_0.1.0-1.ca2004.1_all.deb
Size: 50496
MD5sum: 0eb0431de73a517455fa559e41b3b2cd
SHA1: 5af6b0575dc2e945882018526af58f0618691b75
SHA256: a805025625b828eb2bb7776e3043b57cc335628103c411040e613dc20619e94c
SHA512: ba1053940132fe5addd3be5be5837d484cc978c979f7de50cd5923d0b92a4f7d311a715cf32044c1a3bafa112826169a2c1cbe710b3646b5100c01d9ba48d89d
Homepage: https://cran.r-project.org/package=subformula
Description: CRAN Package 'subformula' (Create Subformulas of a Formula)
 A formula 'sub' is a subformula of 'formula' if all the terms on the right
 hand side of 'sub' are terms of 'formula' and their left hand sides are
 identical. This package aids in the creation of subformulas.

Package: r-cran-subgroup
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-subgroup_1.1-1.ca2004.1_all.deb
Size: 46284
MD5sum: 6682d3d96a0f7b82cfc72416eaf3715d
SHA1: 66df865cb6cbbe1f172ab46b32da661c89214b02
SHA256: bcd2b91ff721a26d7f8bfb432789efc7de29d7e1da31cee1c06af4ac68ce1c3f
SHA512: d4c2d15b979d1a8c29da65d62a22af878e3ff23d25669bf1e6b99dfcac0354094d15eee20f53acbbe8410ff1ae5dfe6054c6c1b474cefc9acbdf327e046b450c
Homepage: https://cran.r-project.org/package=subgroup
Description: CRAN Package 'subgroup' (Methods for exploring treatment effect heterogeneity in subgroupanalysis of clinical trials)
 Produces various measures of expected treatment effect heterogeneity under
 an assumption of homogeneity across subgroups. Graphical presentations are
 created to compare these expected differences with the observed differences.

Package: r-cran-subgrpid
Architecture: all
Version: 0.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-rpart, r-cran-survival, r-cran-matrix, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-subgrpid_0.12-1.ca2004.1_all.deb
Size: 175604
MD5sum: 8bf3f45181b064d220f1cb6ff576dedd
SHA1: 09a75eb2e3a0e892c638a62cd807b177bd61bcad
SHA256: aead86b68c524af2a2cdd436f6ca2e785d3ac85132431cd91a0afae45fa2e06b
SHA512: 99557b1a9f2531c40b5a96ea04e5772e1fbc6f0fc29ca6f981f4959457322d4008f7dc86536976fcbbbd9dbdf211e317ec0e33b89bca1e40ba3730f14d73e751
Homepage: https://cran.r-project.org/package=SubgrpID
Description: CRAN Package 'SubgrpID' (Patient Subgroup Identification for Clinical Drug Development)
 Implementation of Sequential BATTing (bootstrapping and aggregating of
 thresholds from trees) for developing threshold-based multivariate
 (prognostic/predictive) biomarker signatures. Variable selection is
 automatically built-in. Final signatures are returned with interaction plots
 for predictive signatures. Cross-validation performance evaluation and
 testing dataset results are also output. Detail algorithms are described in
 Huang et al (2017) <doi:10.1002/sim.7236>.

Package: r-cran-subgrplots
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3565
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-alluvial, r-cran-circlize, r-cran-colorspace, r-cran-diagram, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-gridbase, r-cran-gridextra, r-cran-plyr, r-cran-polyclip, r-cran-scales, r-cran-shape, r-cran-sp, r-cran-survrm2, r-cran-survival, r-cran-upsetr, r-cran-venndiagram
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgeos
Filename: pool/dists/focal/main/r-cran-subgrplots_0.1.3-1.ca2004.1_all.deb
Size: 3192568
MD5sum: a4459dd342a2c3835fdd0972298621e6
SHA1: 9c07190c704ac2ea1743593e04ff3a2586d3e57f
SHA256: f48929314e0afcfa6d102f28a53f82f99bd8071d5dbb6e89e1bbead4170a876a
SHA512: bdb4a7d2b3649ad7d3bdb277d9551507f04865f1ae1ed465c0b5a8c0114f1a10a7f5d3c14648184b4c936c94a7cff41fdd5ff1772dbd8ac79d7179584312cd86
Homepage: https://cran.r-project.org/package=SubgrPlots
Description: CRAN Package 'SubgrPlots' (Graphical Displays for Subgroup Analysis in Clinical Trials)
 Provides functions for obtaining a variety of graphical displays that may be
 useful in the subgroup analysis setting.  An example with a prostate cancer
 dataset is provided.  The graphical techniques considered include level
 plots, mosaic plots, contour plots, bar charts, Venn diagrams, tree plots,
 forest plots, Galbraith plots, L'Abbé plots, the subpopulation treatment
 effect pattern plot, alluvial plots, circle plots and UpSet plots.

Package: r-cran-subgxe
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lmtest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-subgxe_0.9.0-1.ca2004.1_all.deb
Size: 228964
MD5sum: c85d8fe7ea6bbe8c39ae1c6b4260c570
SHA1: 632293c606aee6fac01f40a920558fcff88bb833
SHA256: c5e68243ccdea887d0f62e2955f5e9b1ad8bf1b9ae205dc392c9d73ae78835a8
SHA512: 4e11134e8461818846b50ebe296642a99c801842ac106c31e517b2083d098976a7e67cebb2d1b226a64eed5f5716ca03b7c793c87bb43892c772318518c7e325
Homepage: https://cran.r-project.org/package=subgxe
Description: CRAN Package 'subgxe' (Combine Multiple GWAS by Using Gene-Environment Interactions)
 Classical methods for combining summary data from genome-wide association
 studies (GWAS) only use marginal genetic effects and power can be
 compromised in the presence of heterogeneity. 'subgxe' is a R package that
 implements p-value assisted subset testing for association (pASTA), a method
 developed by Yu et al. (2019) <doi:10.1159/000496867>. pASTA generalizes
 association analysis based on subsets by incorporating gene-environment
 interactions into the testing procedure.

Package: r-cran-subincomer
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 581
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-countrycode, r-cran-curl, r-cran-dplyr, r-cran-rlang, r-cran-sf, r-cran-tidygeocoder, r-cran-zip
Suggests: r-cran-extrafont, r-cran-fixest, r-cran-ggplot2, r-cran-ggtext, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-subincomer_0.3.0-1.ca2004.1_all.deb
Size: 499668
MD5sum: 6003de23ea9a43f9126cf2c650fff410
SHA1: f89b52ffdb230392d68135267e54975941d3bc06
SHA256: c1f60bbe59460379880a4ad1ead79eb2bf59c8133a8f5fecc440785496098b41
SHA512: 4a65f8990a03867d7ed0b1525d9e3055cdcdc9d1357fdbad206afb7fc24fa4ef3be275b482a6f8d001acdbaa103e7469516dcf8da5b1576cb80e6e426d2ae213
Homepage: https://cran.r-project.org/package=subincomeR
Description: CRAN Package 'subincomeR' (Access to Global Sub-National Income Data)
 Provides access to granular sub-national income data from the MCC-PIK
 Database Of Sub-national Economic Output (DOSE). The package downloads and
 processes the data from its open repository on 'Zenodo'
 (<https://zenodo.org/records/13773040>). Functions are provided to fetch
 data at multiple geographic levels, match coordinates to administrative
 regions, and access associated geometries.

Package: r-cran-submax
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-sensitivityfull
Filename: pool/dists/focal/main/r-cran-submax_1.1.5-1.ca2004.1_all.deb
Size: 84264
MD5sum: 5b8fbb6009977bbd210e8291889c841b
SHA1: cd6085822177cb3a5c2d4b188e999c4954b71bba
SHA256: f0daedbb137041d00ed48ed0dac570577368abf23ee5a3398f996bea800813b9
SHA512: 51c7e3752f083b4f01f605143d26f0c63933b31ef63659cb1676749f830f7b7dbfc190473160180a28e275301ea18c82d3215b7e0ee05eaf7ff85370aac80729
Homepage: https://cran.r-project.org/package=submax
Description: CRAN Package 'submax' (Effect Modification in Observational Studies Using the SubmaxMethod)
 Effect modification occurs if a treatment effect is larger or more stable in
 certain subgroups defined by observed covariates.  The submax or
 subgroup-maximum method of Lee et al. (2018) <doi:10.1111/biom.12884> does
 an overall test and separate tests in subgroups, correcting for multiple
 testing using the joint distribution.

Package: r-cran-subniche
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ade4, r-cran-siber, r-cran-polyclip, r-cran-wordcloud
Suggests: r-cran-adegraphics, r-cran-ape, r-cran-circstats, r-cran-deldir, r-cran-lattice, r-cran-maptools, r-cran-mass, r-cran-pixmap, r-cran-spdep, r-cran-splancs, r-cran-waveslim
Filename: pool/dists/focal/main/r-cran-subniche_1.5-1.ca2004.1_all.deb
Size: 180676
MD5sum: b0d813f22b8b0f11d3e2575aede17e8d
SHA1: 81d34a340706ad72d1c2136aa4b310354b664042
SHA256: f38b72bfda4e2698ba66dbe6be4148c98fe7d1b078afe3a6b1f1cfac0dcccdd6
SHA512: 4922ae7443ccb944c1e7c233cfe43cf5a36a49c1ad3b463bbe349b18d5289203dedfdbd240e476bab59bf66b70dda8fbf2b421145decd70232275f41df7fa982
Homepage: https://cran.r-project.org/package=subniche
Description: CRAN Package 'subniche' (Within Outlying Mean Indexes: Refining the OMI Analysis)
 Complementary indexes calculation to the Outlying Mean Index analysis to
 explore niche shift of a community and biological constraint within an
 Euclidean space, with graphical displays. For details see Karasiewicz et al.
 (2017) <doi:10.7717/Peerj.3364>.

Package: r-cran-subpathwaygmir
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4583
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-subpathwaygmir_1.0-1.ca2004.1_all.deb
Size: 4186928
MD5sum: f0e680304c526ac1aeb45cbeb69fece0
SHA1: ba7518f2c46ccaea6d8e6f259647d373fff851c9
SHA256: edd43449967852d1bd96d8dbeea03eb563e59c9f6af994a225c4759b29106bf1
SHA512: 1eb0cda9031d3ab539112986ec2f8317fb56af748f9cfe22c99de9b8618d39e65d42791fcfbb62793c494af13387bb53a4eaaaa1fa4e851daefa6a9efad4bbe1
Homepage: https://cran.r-project.org/package=SubpathwayGMir
Description: CRAN Package 'SubpathwayGMir' (Identify Metabolic Subpathways Mediated by MicroRNAs)
 Routines for identifying metabolic subpathways mediated by microRNAs
 (miRNAs) through topologically locating miRNAs and genes within
 reconstructed Kyoto Encyclopedia of Genes and Genomes (KEGG) metabolic
 pathway graphs embedded by miRNAs. (1) This package can obtain the
 reconstructed KEGG metabolic pathway graphs with genes and miRNAs as nodes,
 through converting KEGG metabolic pathways to graphs with genes as nodes and
 compounds as edges, and then integrating miRNA-target interactions verified
 by low-throughput experiments from four databases (TarBase, miRecords,
 mirTarBase and miR2Disease) into converted pathway graphs. (2) This package
 can locate metabolic subpathways mediated by miRNAs by topologically
 analyzing the "lenient distance" of miRNAs and genes within reconstructed
 KEGG metabolic pathway graphs.(3) This package can identify significantly
 enriched miRNA-mediated metabolic subpathways based on located subpathways
 by hypergenomic test. (4) This package can support six species for metabolic
 subpathway identification, such as caenorhabditis elegans, drosophila
 melanogaster, danio rerio, homo sapiens, mus musculus and rattus norvegicus,
 and user only need to update interested organism-specific environment
 variables.

Package: r-cran-subpathwaylnce
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3498
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-bioc-rbgl, r-cran-biasedurn, r-bioc-graph
Suggests: r-cran-xml
Filename: pool/dists/focal/main/r-cran-subpathwaylnce_1.0-1.ca2004.1_all.deb
Size: 3383696
MD5sum: 7b9655630392b7901803d3b6903786ba
SHA1: 11a01355753d470c46fbab7df7e1e8e8fa7e1e08
SHA256: 0c13ef632323c6b9de0c826b96aa1669b2c7fcc634df111c6f5d0ea4acfa3e61
SHA512: beb6d13e81b620afb423ebee585157df8ea4b7827313f9ffda423053a718765a5c9392eaea90f0d2fdf22501ba7471f02e0b03ed9f0691c089792c75e78d107c
Homepage: https://cran.r-project.org/package=SubpathwayLNCE
Description: CRAN Package 'SubpathwayLNCE' (Identify Signal Subpathways Competitively Regulated by LncRNAsBased on ceRNA Theory)
 Identify dysfunctional subpathways competitively regulated by lncRNAs
 through integrating lncRNA-mRNA expression profile and pathway topologies.

Package: r-cran-subsamp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-subsamp_0.1.0-1.ca2004.1_all.deb
Size: 20916
MD5sum: add94e4823c820c8927326a5a92af737
SHA1: a5d00e0f0e882cd6f2162f1741a80f61f0db808a
SHA256: 7606c8ba3a1053eb58a4b85d83c446ca5ac6135fddbb705df67b37400cfb3464
SHA512: a44d524624628cbc423d3d15a7a402f64abb695b05ff8a654eedcf6ff20ad866d8ba0523325f7bbe30d2c84a0e3688ec55408318ee152ea736850c55277a04b4
Homepage: https://cran.r-project.org/package=subsamp
Description: CRAN Package 'subsamp' (Subsample Winner Algorithm for Variable Selection in LinearRegression with a Large Number of Variables)
 This subsample winner algorithm (SWA) for regression with a large-p data (X,
 Y) selects the important variables (or features) among the p features X in
 explaining the response Y.  The SWA first uses a base procedure, here a
 linear regression, on each of subsamples randomly drawn from the p
 variables, and then computes the scores of all features, i.e., the p
 variables, according to the performance of these features collected in each
 of the subsample analyses. It then obtains the 'semifinalist' of the
 features based on the resulting scores and determines the 'finalists', i.e.,
 the important features, from the 'semifinalist'.  Fan, Sun and Qiao (2017)
 <http://sr2c.case.edu/swa-reg/>.

Package: r-cran-subscore
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ctt, r-cran-irtoys, r-cran-sirt, r-cran-ltm, r-cran-cocor, r-cran-boot
Filename: pool/dists/focal/main/r-cran-subscore_3.3-1.ca2004.1_all.deb
Size: 108396
MD5sum: ab2610c3e2c81aea6b90dcf52ff24b76
SHA1: 5ebbd6e5a5fded0ae83391b720d5a9ec6d27119f
SHA256: 24cd4e66d8c3345756de8591ec2af9f658ac20e51be9673aa1c5d8c73b97c917
SHA512: d8c665ae3c2bf709cc68b6cb267a6fc1ceeb0ac6f2a0be89fd85c3284a178710877ee4732bc8bc5d000f10ee0bc188fe8b95bc8fb5891d2e471bad2dcd2f6d91
Homepage: https://cran.r-project.org/package=subscore
Description: CRAN Package 'subscore' (Computing Subscores in Classical Test Theory and Item ResponseTheory)
 Functions for computing test subscores using different methods in both
 classical test theory (CTT) and item response theory (IRT). This package
 enables three types of subscoring methods within the framework of CTT and
 IRT, including (1) Wainer's augmentation method (Wainer et. al., 2001)
 <doi:10.4324/9781410604729>, (2) Haberman's subscoring methods (Haberman,
 2008) <doi:10.3102/1076998607302636>, and (3) Yen's objective performance
 index (OPI; Yen, 1987)
 <https://www.ets.org/research/policy_research_reports/publications/paper/1987/hrap>.
 It also includes functions to compute Proportional Reduction of Mean Squared
 Errors (PRMSEs) in Haberman's methods which are used to examine whether test
 subscores are of added value. In addition, the package includes a function
 to assess the local independence assumption of IRT with Yen's Q3 statistic
 (Yen, 1984 <doi:10.1177/014662168400800201>; Yen, 1993
 <doi:10.1111/j.1745-3984.1993.tb00423.x>).

Package: r-cran-subscreen
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2429
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr, r-cran-data.table, r-cran-ggplot2, r-cran-ggrepel, r-cran-rlang, r-cran-stringr, r-cran-shiny, r-cran-dt, r-cran-shinyjs, r-cran-bsplus, r-cran-colourpicker, r-cran-dplyr, r-cran-ranger, r-cran-shinywidgets
Suggests: r-cran-survival, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-subscreen_4.0.1-1.ca2004.1_all.deb
Size: 1964604
MD5sum: be02f983cc01dc59aaacdf9ab6bcf730
SHA1: 2a3661690852673c80dd4a224f4418c13ef44fb7
SHA256: 95f7094e249ff01d7d26a70beebc3d558f679f0f7e9625055c4d7aadbd32312e
SHA512: 729df0e5e065c838b1dd2fd28403d27d8b99c2893a8122ad9cb424fe67a49589c0b9b6e54207034af6794877073aeaba0a2e9de843634dfb9634f5f8be3bce9c
Homepage: https://cran.r-project.org/package=subscreen
Description: CRAN Package 'subscreen' (Systematic Screening of Study Data for Subgroup Effects)
 Identifying outcome relevant subgroups has now become as simple as possible!
 The formerly lengthy and tedious search for the needle in a haystack will be
 replaced by a single, comprehensive and coherent presentation.  The central
 result of a subgroup screening is a diagram in which each single dot stands
 for a subgroup. The diagram may show thousands of them. The position of the
 dot in the diagram is determined by the sample size of the subgroup and the
 statistical measure of the treatment effect in that subgroup. The sample
 size is shown on the horizontal axis while the treatment effect is displayed
 on the vertical axis. Furthermore, the diagram shows the line of no effect
 and the overall study results. For small subgroups, which are found on the
 left side of the plot, larger random deviations from the mean study effect
 are expected, while for larger subgroups only small deviations from the
 study mean can be expected to be chance findings.  So for a study with no
 conspicuous subgroup effects, the dots in the figure are expected to form a
 kind of funnel. Any deviations from this funnel shape hint to conspicuous
 subgroups.

Package: r-cran-subsemble
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-superlearner
Suggests: r-cran-arm, r-cran-caret, r-cran-class, r-cran-cvauc, r-cran-e1071, r-cran-earth, r-cran-gam, r-cran-gbm, r-cran-glmnet, r-cran-hmisc, r-cran-ipred, r-cran-lattice, r-cran-logicreg, r-cran-mass, r-cran-mda, r-cran-mlbench, r-cran-nnet, r-cran-party, r-cran-polspline, r-cran-quadprog, r-cran-randomforest, r-cran-rpart, r-cran-sis, r-cran-spls, r-cran-stepplr
Filename: pool/dists/focal/main/r-cran-subsemble_0.1.0-1.ca2004.1_all.deb
Size: 51528
MD5sum: 5aead79ff580fe5de2da711ee0fcdcb0
SHA1: 6743ce85d71766c396b8a1d2e8be2193fecf5075
SHA256: 22887652cfe6a6d503df85beda0180e0ee007e061000bdbec8566480d2248acd
SHA512: f522aef32e7e29a048bb77888c787dbd7c0f9f95b31f18bfe131cba80bbbcc4db0962fdb0bdd04be44fdddba9980a1af5076008a1b275e2f7b79afe37fc0434f
Homepage: https://cran.r-project.org/package=subsemble
Description: CRAN Package 'subsemble' (An Ensemble Method for Combining Subset-Specific Algorithm Fits)
 The Subsemble algorithm is a general subset ensemble prediction method,
 which can be used for small, moderate, or large datasets. Subsemble
 partitions the full dataset into subsets of observations, fits a specified
 underlying algorithm on each subset, and uses a unique form of k-fold
 cross-validation to output a prediction function that combines the
 subset-specific fits. An oracle result provides a theoretical performance
 guarantee for Subsemble. The paper, "Subsemble: An ensemble method for
 combining subset-specific algorithm fits" is authored by Stephanie Sapp,
 Mark J. van der Laan & John Canny (2014) <doi:10.1080/02664763.2013.864263>.

Package: r-cran-subspace
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4450
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggvis, r-cran-colorspace, r-cran-stringr, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-subspace_1.0.4-1.ca2004.1_all.deb
Size: 4247716
MD5sum: 2e1334bdf1fb8507bf5f024fff7f4896
SHA1: 487b4676751bc571e6e2a3ee021b147c589d9e22
SHA256: 7d1e6efbb1ca6f7449226bc69b03eb173ce69252ed62f1844fe8fac87873d166
SHA512: 62082006a07c05495f570bcd3a7d52c3b1d47bc1af17e57b897801233a344c9384515d228554fba1327922872aa26cac38c94dbfc4a22ff6cb1d82715a75f619
Homepage: https://cran.r-project.org/package=subspace
Description: CRAN Package 'subspace' (Interface to OpenSubspace)
 An interface to 'OpenSubspace', an open source framework for evaluation and
 exploration of subspace clustering algorithms in WEKA (see
 <http://dme.rwth-aachen.de/de/opensubspace> for more information).  Also
 performs visualization.

Package: r-cran-substackr
Architecture: all
Version: 0.1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-substackr_0.1.15-1.ca2004.1_all.deb
Size: 35436
MD5sum: 4bc2541cd923f85877f657e96e8c177d
SHA1: ee7288574f355ced8e56fc96a46d3ee09cdc963b
SHA256: 493af659a28a95482fe870689e23554e2bf7335f137a49141e7ef929b44b866e
SHA512: 3abceb7ec8a78e27579f43acce8cca83091d5cadf6d8a1dc1fd33678eef6d518efcf4542944b75a274a5aa548f31bd2eaaeb48fbd25576921e50087ce68e1905
Homepage: https://cran.r-project.org/package=substackR
Description: CRAN Package 'substackR' (Access Substack Data via API)
 An interface to access data from Substack publications via API.  Users can
 fetch the latest, top, search for specific posts, or retrieve a single post
 by its slug.  This functionality is useful for developers and researchers
 looking to analyze Substack content or integrate it into their applications.
 For more information, visit the API documentation at
 <https://substackapi.dev/introduction>.

Package: r-cran-subtee
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-mass, r-cran-ggplot2, r-cran-survival, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-subtee_1.0.1-1.ca2004.1_all.deb
Size: 413676
MD5sum: c8fb4a8e17285f91b4d3dd80401d9c9b
SHA1: 3f4726068d79cc6c07202e7272e7bddc34ba717b
SHA256: 14253ba687be6ecc35f1d531a92cec8822e269ed53cb6abf3c59e5ca1c1a72d0
SHA512: effc900559a041b9e75db3cc7d3a6fb5ebfd5dc558bebc253593b25796afdac8025602f4cb79a7ea257917a99a44e2bc813c813a69441af37521ad85cc84a9b0
Homepage: https://cran.r-project.org/package=subtee
Description: CRAN Package 'subtee' (Subgroup Treatment Effect Estimation in Clinical Trials)
 Naive and adjusted treatment effect estimation for subgroups. Model
 averaging (Bornkamp et.al, 2016 <doi:10.1002/pst.1796>) and bagging
 (Rosenkranz, 2016 <doi:10.1002/bimj.201500147>) are proposed to address the
 problem of selection bias in treatment effect estimates for subgroups.  The
 package can be used for all commonly encountered type of outcomes in
 clinical trials (continuous, binary, survival, count). Additional functions
 are provided to build the subgroup variables to be used and to plot the
 results using forest plots. For details, see Ballarini et.al. (2021)
 <doi:10.18637/jss.v099.i14>.

Package: r-cran-subtype
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-penalized, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-subtype_1.0-1.ca2004.1_all.deb
Size: 43720
MD5sum: bc320818cc0a8629e57a8cbe2d80e515
SHA1: e83d8672355f81cd7e1912dab55aacfe932fef24
SHA256: 29b0be0597c23d4ef98d25773e8efc84a9e8c70844a7c0eb8e73429371fd89d3
SHA512: 5c87f371641e3e7b8c359da776ab56d421d6c1be9c52c3a8ca1c1bb7d152cdbddd3d64d8f4189b7b96891cc3b4df161615af49bc5db9eb760099084e9da3a83b
Homepage: https://cran.r-project.org/package=subtype
Description: CRAN Package 'subtype' (Cluster analysis to find molecular subtypes and their assessment)
 subtype performs a biclustering procedure on a input dataset and assess
 whether resulting clusters are promising subtypes. Note that the R-package
 rsmooth should be installed before implementing subtype. rsmooth can be
 downloaded from http://www.meb.ki.se/~yudpaw.

Package: r-cran-subtypedrug
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4755
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biocgenerics, r-bioc-gsva, r-cran-igraph, r-cran-pheatmap, r-cran-rvest, r-cran-xml2, r-bioc-chemminer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-subtypedrug_0.1.9-1.ca2004.1_all.deb
Size: 4210296
MD5sum: d6cd4e4e7e8873353775c23ead0745ea
SHA1: 6240025b425e85d20b2d8363e9db9d21445be69e
SHA256: 55ca7fa55928bf80a53cbccc8aa2dd4700121f896da4d5ef6d4922141b87bf96
SHA512: f4be43ebb3281d6e8b238e01cbe3e0ec8407689bd5c513bd7b11a5d48ef26a7181122f9e5c0e3e8ef13c6a9ea37c1e1af8e458fbe737bd645fe0976258c9dcc5
Homepage: https://cran.r-project.org/package=SubtypeDrug
Description: CRAN Package 'SubtypeDrug' (Prioritization of Candidate Cancer Subtype Specific Drugs)
 A systematic biology tool was developed to prioritize cancer
 subtype-specific drugs by integrating genetic perturbation, drug action,
 biological pathway, and cancer subtype.  The capabilities of this tool
 include inferring patient-specific subpathway activity profiles in the
 context of gene expression profiles with subtype labels, calculating
 differentially expressed subpathways based on cultured human cells treated
 with drugs in the 'cMap' (connectivity map) database, prioritizing cancer
 subtype specific drugs according to drug-disease reverse association score
 based on subpathway, and visualization of results (Castelo (2013)
 <doi:10.1186/1471-2105-14-7>; Han et al (2019)
 <doi:10.1093/bioinformatics/btz894>; Lamb and Justin (2006)
 <doi:10.1126/science.1132939>). Please cite using
 <doi:10.1093/bioinformatics/btab011>.

Package: r-cran-subvis
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-bioc-biostrings
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-subvis_2.0.2-1.ca2004.1_all.deb
Size: 47996
MD5sum: df1789bcdef5758a81a0deb18fc09859
SHA1: 474632e95f1a9f6077b21cd1fe8dcf298a3967cd
SHA256: 59d578d2eb18658966392f22f26439fe427c8e06baf181fb4a6e00e0d9ba2c1f
SHA512: b6ec5b872bc87ebf43c7cf64a32109e335b99167df03beb6149a5b9fa8d5b1b233e6420d0faf51493ec7ef137408db945f3025bbfc6b7a40cff94131c5aeddfc
Homepage: https://cran.r-project.org/package=SubVis
Description: CRAN Package 'SubVis' (Visual Exploration of Protein Alignments Resulting from MultipleSubstitution Matrices)
 Substitution matrices are important parameters in protein alignment
 algorithms. These matrices represent the likelihood that an amino acid will
 be substituted for another during mutation. This tool allows users to apply
 predefined and custom matrices and then explore the resulting alignments
 with interactive visualizations.  'SubVis' requires the availability of a
 web browser.

Package: r-cran-success
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1122
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-pbapply, r-cran-plotly, r-cran-rfast, r-cran-survival, r-cran-ggrepel, r-cran-matrix, r-cran-matrixcalc
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-success_1.1.1-1.ca2004.1_all.deb
Size: 1049484
MD5sum: fb63e0b059439a49142ce32ab59d567b
SHA1: be269c574555e8ccbedffac6e1301b6cf74011e1
SHA256: c6e92083801a87b9e0182b0bda8cfcb89b9397b4f659cc7a3d0aca8769381527
SHA512: a16273a08e43f4412f982e460a4bc34c7ac6ad567b646e5739029e4c20bd2bca1eb6e88524f17f34217de9887ecdddf05e9b6bc94d417e40a8e065b29e72e08f
Homepage: https://cran.r-project.org/package=success
Description: CRAN Package 'success' (Survival Control Charts Estimation Software)
 Quality control charts for survival outcomes.  Allows users to construct the
 Continuous Time Generalized Rapid Response CUSUM (CGR-CUSUM)
 <doi:10.1093/biostatistics/kxac041>, the Biswas & Kalbfleisch (2008)
 <doi:10.1002/sim.3216> CUSUM, the Bernoulli CUSUM and the risk-adjusted
 funnel plot for survival data <doi:10.1002/sim.1970>.  These procedures can
 be used to monitor survival processes for a change in the failure rate.

Package: r-cran-sudachir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-reticulate, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sudachir_0.1.0-1.ca2004.1_all.deb
Size: 78904
MD5sum: 7257fbf42f5bb08ddf4474e227fed90a
SHA1: 7307ea9ae8849d2b66c8af387be2a08044c61466
SHA256: de0f77eca67d2582af35c2a8a673b2e3ea4165eaaeefd10e7a52cd40f377e857
SHA512: 3a7d5a1163e368589019458bd1b2d38cc8cf9e20fa1a624accb5ada15e3a4d3a8723cda6af52564ae52a41620415a567ae8e186e56ad5143dce4e22c8b7286a9
Homepage: https://cran.r-project.org/package=sudachir
Description: CRAN Package 'sudachir' (R Interface to 'Sudachi')
 Interface to 'Sudachi' <https://github.com/WorksApplications/Sudachi>, a
 Japanese morphological analyzer. This is a port of what is available in
 Python.

Package: r-cran-suddengains
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1282
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-ggplot2, r-cran-psych, r-cran-readr, r-cran-tidyr, r-cran-ggrepel, r-cran-patchwork, r-cran-forcats, r-cran-naniar, r-cran-scales, r-cran-cli
Suggests: r-cran-haven, r-cran-writexl, r-cran-knitr, r-cran-dt, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-suddengains_0.7.2-1.ca2004.1_all.deb
Size: 660668
MD5sum: eb28888d0fa5df9d8ed3a5c9550c12bb
SHA1: 15d952d28ba04824c2119a176970226dacab1c12
SHA256: 95923b277100b67ab90ac03e13a996c72186fb083c7ee7565196594458ddfbea
SHA512: 5d35ac71efa80c89d64aeff12dd536b6bd35bdc89147d24d9a120e6ac4a4eae98d76882c9e0808ee54f9926c0a67b5195cd3b2c441b044e17a90fcf2d8619c4f
Homepage: https://cran.r-project.org/package=suddengains
Description: CRAN Package 'suddengains' (Identify Sudden Gains in Longitudinal Data)
 Identify sudden gains based on the three criteria outlined by Tang and
 DeRubeis (1999) <doi:10.1037/0022-006X.67.6.894> to a selection of repeated
 measures. Sudden losses, defined as the opposite of sudden gains can also be
 identified. Two different datasets can be created, one including all sudden
 gains/losses and one including one selected sudden gain/loss for each case.
 It can extract scores around sudden gains/losses. It can plot the average
 change around sudden gains/losses and trajectories of individual cases.

Package: r-cran-sudoku
Architecture: all
Version: 2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-sudoku_2.8-1.ca2004.1_all.deb
Size: 49576
MD5sum: 9f221ee173cfb55d4ba3525c0962e31b
SHA1: 690a69d996386b4326c2a727429c561cb0d252d1
SHA256: 899242db300be2bc1a41d9a7c6b1562f5dc7591127d072c421fce83744078bd8
SHA512: 471b6c0565b0a673ac02f8053a51366818d27c83ad64be4e58875c73444901c23fd8daecd6d6f1a932e8ae744ef80cd9c7cd13df527a3e04c11d085346976dd6
Homepage: https://cran.r-project.org/package=sudoku
Description: CRAN Package 'sudoku' (Sudoku Puzzle Generator and Solver)
 Generates, plays, and solves Sudoku puzzles.  The GUI playSudoku() needs
 package "tkrplot" if you are not on Windows.

Package: r-cran-sudokualt
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 258
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-sudoku, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sudokualt_0.2-1-1.ca2004.1_all.deb
Size: 194488
MD5sum: e18aa98317111183bc1fd3046ed4793a
SHA1: b716c40a11331746b7859926e62b50f264181e6e
SHA256: e83af6c812dd8723491553577ad3d1992376d46023bd57e47be55b1af7a2d954
SHA512: 6414bc22ceba1374763c353bd37379cd67fe408c754a52326115d38ab815011f9d1c15f85953160302050895e39e48df2a03c97db67815e221893ea1ba6723cd
Homepage: https://cran.r-project.org/package=sudokuAlt
Description: CRAN Package 'sudokuAlt' (Tools for Making and Spoiling Sudoku Games)
 Tools for making, retrieving, displaying and solving sudoku games.  This
 package is an alternative to the earlier sudoku-solver package, 'sudoku'.
 The present package uses a slightly different algorithm, has a simpler
 coding and presents a few more sugar tools, such as plot and print methods.
 Solved sudoku games are of some interest in Experimental Design as examples
 of Latin Square designs with additional balance constraints.

Package: r-cran-sudokudesigns
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sudokudesigns_1.2.0-1.ca2004.1_all.deb
Size: 55420
MD5sum: 83bc8b51fdb4ea0b437073c060e9b7ac
SHA1: f2a75ff0aaf646d20ebc3aa2abfaa98a2934f882
SHA256: 99e7906de3506fdcc39a742102726747973ddd6d646967169851c39617627374
SHA512: 5d5cb008337e306a74af9399ba7b547866c071f064aa60289859e03cd7ddfc615ee50f362f436c07a801a7d775203d459c2b95fa732b98fda40a0fcd1adb26cb
Homepage: https://cran.r-project.org/package=SudokuDesigns
Description: CRAN Package 'SudokuDesigns' (Sudoku as an Experimental Design)
 Sudoku designs (Bailey et al., 2008<doi:10.1080/00029890.2008.11920542>) can
 be used as experimental designs which tackle one extra source of variation
 than conventional Latin square designs. Although Sudoku designs are similar
 to Latin square designs, only addition is the region concept. Some very
 important functions related to row-column designs as well as block designs
 along with basic functions are included in this package.

Package: r-cran-sue
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-sue_1.0-1.ca2004.1_all.deb
Size: 32012
MD5sum: 4d7aa1872fff70fad6511e283d589544
SHA1: c100e0897ed43b0bbaeb3b87fe8794f60173b191
SHA256: 15e7367eb38f0298cd52c07b780656b8dd2f8fc8722042fa6a8938e7dedde71d
SHA512: ec6cb5c5b1c7c8401ce90ea1d256bad3a21ebebe695053ed1d0f213a6bc249026979cb9b11a41c7bb556058f06904a590799d2ea3f266a6325259c68d91295d9
Homepage: https://cran.r-project.org/package=SUE
Description: CRAN Package 'SUE' (Subsampling method)
 This is a package for the subsampling method of robust estimation of linear
 regression models

Package: r-cran-suessr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 743
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-suessr_0.1.6-1.ca2004.1_all.deb
Size: 720576
MD5sum: 7323f1b879b472a86b341d5b83f2d22e
SHA1: d99357a402d0aca3a4766a85e5a46e805926772a
SHA256: e194826cfb3ebb815a8f5d5e451ecced85d9caafa2ceb0ddb59c776aea40545b
SHA512: fd25c921b6668fbb3cd4c4d19de8d373ebf1f8a9e2fbfc9a0d8c04d3ab00a9b2154b7de619a4ccd5c9a2488a9ea8989108d096b05b862f213be9736c89bad937
Homepage: https://cran.r-project.org/package=SuessR
Description: CRAN Package 'SuessR' (Suess and Laws Corrections for Marine Stable Carbon Isotope Data)
 Generates region-specific Suess and Laws corrections for stable carbon
 isotope data from marine organisms collected between 1850 and 2023. Version
 0.1.6 of 'SuessR' contains four built-in regions: the Bering Sea ('Bering
 Sea'), the Aleutian archipelago ('Aleutian Islands'), the Gulf of Alaska
 ('Gulf of Alaska'), and the subpolar North Atlantic ('Subpolar North
 Atlantic'). Users can supply their own environmental data for regions
 currently not built into the package to generate corrections for those
 regions.

Package: r-cran-sufficientforecasting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-gam
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sufficientforecasting_0.1.0-1.ca2004.1_all.deb
Size: 161056
MD5sum: f360de07ff068e38bc969db6b20a414b
SHA1: c2090a658346f8e1ab499210e69f04ccdd36ff19
SHA256: 0230271ec3b78d1ade7b2365191c7143acf9c81493031d0db9f25d047af21977
SHA512: f636908ca0536ced292fbdaa9f1d40c45157c2744e03e7d143302d60a5218a4d56ebc75a2b59ecaedf803d15aa5cd4ab2b5b4b197f9041e69ce3440146947087
Homepage: https://cran.r-project.org/package=sufficientForecasting
Description: CRAN Package 'sufficientForecasting' (Sufficient Forecasting using Factor Models)
 The sufficient forecasting (SF) method is implemented by this package for a
 single time series forecasting using many predictors and a possibly
 nonlinear forecasting function. Assuming that the predictors are driven by
 some latent factors, the SF first conducts factor analysis and then performs
 sufficient dimension reduction on the estimated factors to derive predictive
 indices for forecasting. The package implements several dimension reduction
 approaches, including principal components (PC), sliced inverse regression
 (SIR), and directional regression (DR). Methods for dimension reduction are
 as described in: Fan, J., Xue, L. and Yao, J. (2017)
 <doi:10.1016/j.jeconom.2017.08.009>, Luo, W., Xue, L., Yao, J. and Yu, X.
 (2022) <doi:10.1093/biomet/asab037> and Yu, X., Yao, J. and Xue, L. (2022)
 <doi:10.1080/07350015.2020.1813589>.

Package: r-cran-sugarbag
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 976
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-rmapshaper, r-cran-sf, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sugarbag_0.1.6-1.ca2004.1_all.deb
Size: 908032
MD5sum: 3b6a4a7aa4b4a061e0992143acd7e4a3
SHA1: b52433f3c2356aace71772e195a92c4b5072dd6b
SHA256: 0b5f3551ed05e82b06099fa42704b04b9f7322018e3c4aa25eca7417d36ba397
SHA512: d8db7cc259d65007795a646bcbd1f6ab4b970f1cfdc06a85b06d5dbe4780b65901da66a70e97d5b4334944387020aa8c8136d3bf6dc983e7209177641f42b016
Homepage: https://cran.r-project.org/package=sugarbag
Description: CRAN Package 'sugarbag' (Create Tessellated Hexagon Maps)
 Create a hexagon tile map display from spatial polygons. Each polygon is
 represented by a hexagon tile, placed as close to it's original centroid as
 possible, with a focus on maintaining spatial relationship to a focal point.
 Developed to aid visualisation and analysis of spatial distributions across
 Australia, which can be challenging due to the concentration of the
 population on the coast and wide open interior.

Package: r-cran-sugarglider
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1989
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-ggplotify, r-cran-tidyr, r-cran-lubridate, r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-ozmaps, r-cran-sf, r-cran-tidyverse, r-cran-viridis, r-cran-ggthemes, r-cran-vdiffr, r-cran-kableextra, r-cran-ggiraph, r-cran-jsonlite, r-cran-httr, r-cran-usmap, r-cran-geosphere, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-sugarglider_1.0.3-1.ca2004.1_all.deb
Size: 1191272
MD5sum: d7f4a9267313eb690876e59eb8093360
SHA1: fc419274d8a7e8f5aabde4da46a14807dcd23d4f
SHA256: 6659250022903e433a75be469f012b5a165a34877b05294b03dc61859228d4e9
SHA512: c34048242bea1af38a28c31be429f30b8ef57f6c4363229c4706b83d8c3a31ae29faa746c765783b91c4127b5b1ea8920a83afc131daa7295c4088b2f2bb1619
Homepage: https://cran.r-project.org/package=sugarglider
Description: CRAN Package 'sugarglider' (Create Glyph-Maps of Spatiotemporal Data)
 Provides 'ggplot2' extensions to construct glyph-maps for visualizing
 seasonality in spatiotemporal data. See the Journal of Statistical Software
 reference: Zhang, H. S., Cook, D., Laa, U., Langrené, N., & Menéndez, P.
 (2024) <doi:10.18637/jss.v110.i07>. The manuscript for this package is
 currently under preparation and can be found on GitHub at
 <https://github.com/maliny12/paper-sugarglider>.

Package: r-cran-suggests
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-suggests_0.1.0-1.ca2004.1_all.deb
Size: 29364
MD5sum: 57ee9e3662fa2bfd086533a21c054136
SHA1: 889c9fb78694c0d8576075e2411bcc81405b6679
SHA256: 449329165297860b4e339568945ceb05f89d5eddca574a2a1b2bc19a380b88fd
SHA512: 7c5aedf107a1c9c7b2161bf0b8a8bfa3d8577ea5ecbfd05533747c8c83094d840d2420261a8bb0398f831a8cec89056fd21fc5d3937aca6b8f0c407544aa1272
Homepage: https://cran.r-project.org/package=suggests
Description: CRAN Package 'suggests' (Declare when Suggested Packages are Needed)
 By adding dependencies to the "Suggests" field of a package's DESCRIPTION
 file, and then declaring that they are needed within any dependent
 functionality, it is often possible to significantly reduce the number of
 "hard" dependencies required by a package. This package provides a minimal
 way to declare when a suggested package is needed.

Package: r-cran-sugrrants
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2507
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-gtable, r-cran-lubridate, r-cran-rlang
Suggests: r-cran-covr, r-cran-knitr, r-cran-plotly, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr, r-cran-tsibble, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-sugrrants_0.2.9-1.ca2004.1_all.deb
Size: 2067332
MD5sum: 53736de2a578a6a8643446417ab731a0
SHA1: 443550950bff330b0955087e9a0a4dd3cc827c90
SHA256: dfc74c3908bb49898cbc782d6cae148b5c9f19a0d44ebf541fa0444e90201138
SHA512: 246c7fa3b186a85e329cb0bd9fb90c1e87d7294020684a7cba5c94691c3b3f821d60d1ae5d2718928f00a6ed9d89c59e883c5d0c4edfd3333c694965a0a186b7
Homepage: https://cran.r-project.org/package=sugrrants
Description: CRAN Package 'sugrrants' (Supporting Graphs for Analysing Time Series)
 Provides 'ggplot2' graphics for analysing time series data. It aims to fit
 into the 'tidyverse' and grammar of graphics framework for handling temporal
 data.

Package: r-cran-sumcaver1
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-psych
Filename: pool/dists/focal/main/r-cran-sumcaver1_0.1.0-1.ca2004.1_all.deb
Size: 170972
MD5sum: c53658a9305a23c49111a8c297500496
SHA1: 141c6957b3e429e539035245978e37ba9942b2da
SHA256: 5902f6b05508dc9b797e8d0452c195e257634bd6fb621aa753f92020e3edddcf
SHA512: e630f9e470330b68f024f97eafb932279eaec41545b4afee4538a012054be177e0c414ba49b4d59a1e9b0560c7a9e6e304cc5a8c2739770f133d14c60b968202
Homepage: https://cran.r-project.org/package=SumcaVer1
Description: CRAN Package 'SumcaVer1' (Mean Square Prediction Error Estimation in Small Area Estimation)
 Estimation of mean squared prediction error of a small area predictor is
 provided. In particular, the recent method of Simple, Unified, Monte-Carlo
 Assisted approach for the mean squared prediction error estimation of small
 area predictor is provided. We also provide other existing methods of mean
 squared prediction error estimation such as jackknife method for the mixed
 logistic model.

Package: r-cran-summariser
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-summariser_2.3.0-1.ca2004.1_all.deb
Size: 13984
MD5sum: e3ce56bb6106f760588713b88e75c820
SHA1: 441cf36f9841356194ce8827dc41dda11caecb18
SHA256: 1c3091b5097e8abd4a937e635aa42806951eeef785ac8b75d6a581e0dfd7fb88
SHA512: 4ed1c0e6031af2687388e8a394639f0d38320fb9e4be3d1dbabff37ed945e244069c63f96cd19ddb19d14e4b392fb621ae6436ab15c98b2b7d380815a764f910
Homepage: https://cran.r-project.org/package=summariser
Description: CRAN Package 'summariser' (Easy Calculation and Visualisation of Confidence Intervals)
 Functions to speed up the exploratory analysis of simple datasets using
 'dplyr'. Functions are provided to do the common tasks of calculating
 confidence intervals.

Package: r-cran-summarytools
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3793
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-base64enc, r-cran-checkmate, r-cran-dplyr, r-cran-htmltools, r-cran-lubridate, r-cran-magick, r-cran-matrixstats, r-cran-pander, r-cran-pryr, r-cran-rapportools, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-forcats, r-cran-formatr, r-cran-haven, r-cran-kableextra, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-backports
Filename: pool/dists/focal/main/r-cran-summarytools_1.1.4-1.ca2004.1_all.deb
Size: 1326588
MD5sum: 732b76f3c4ecf2ffc63f845c94ffaa0a
SHA1: 18b7b5ed5a0098d8eaad7285db81ba7a9095476c
SHA256: b6af760e42433285ec67b172def1ef8873165dc94806a0ad620a70269c4fc4a7
SHA512: 2975805df1fdcc04bcd221ca085fb168298a249b35e96a440ee7ecdcbfa052b49fdee26fb93d33bab11aecd4c7d59ec3eb2988fcc6bbb804b93185952c3d6804
Homepage: https://cran.r-project.org/package=summarytools
Description: CRAN Package 'summarytools' (Tools to Quickly and Neatly Summarize Data)
 Data frame summaries, cross-tabulations, weight-enabled frequency tables and
 common descriptive (univariate) statistics in concise tables available in a
 variety of formats (plain ASCII, Markdown and HTML). A good point-of-entry
 for exploring data, both for experienced and new R users.

Package: r-cran-summclust
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dreamerr, r-cran-mass, r-cran-collapse, r-cran-generics, r-cran-cli, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-latex2exp, r-cran-fabricatr, r-cran-fixest, r-cran-haven, r-cran-sandwich, r-cran-lmtest, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-httr
Filename: pool/dists/focal/main/r-cran-summclust_0.7.2-1.ca2004.1_all.deb
Size: 115512
MD5sum: 87d6982a6b1dc27f87720a294f1f78ef
SHA1: 4833f6fee662a81b02915bbdf156b6053c7bad33
SHA256: fcc941f8375f22d36a28954ee4af05da12a5e55655601a22662b91736e750fb8
SHA512: 1a9f0760fdc39de9f8ce9552b6b92e1f9f6c0a1d54fe6f3eac99aee8f469a7ca93cca486aff66542dff13597eb2cb2857d339ff041fe17943ac8009671c40b8d
Homepage: https://cran.r-project.org/package=summclust
Description: CRAN Package 'summclust' (Module to Compute Influence and Leverage Statistics forRegression Models with Clustered Errors)
 Module to compute cluster specific information for regression models with
 clustered errors, including leverage and influence statistics.  Models of
 type 'lm' and 'fixest'(from the 'stats' and 'fixest' packages) are
 supported. 'summclust' implements similar features as the user-written
 'summclust.ado' Stata module (MacKinnon, Nielsen & Webb, 2022;
 <arXiv:2205.03288v1>).

Package: r-cran-summer
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6746
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-spdep, r-cran-survival, r-cran-ggplot2, r-cran-scales, r-cran-matrix, r-cran-reshape2, r-cran-viridis, r-cran-sp, r-cran-sf, r-cran-shadowtext, r-cran-ggridges, r-cran-data.table, r-cran-rcolorbrewer, r-cran-fields, r-cran-terra, r-cran-haven, r-cran-lifecycle
Suggests: r-cran-sn, r-cran-knitr, r-cran-rmarkdown, r-cran-readstata13, r-cran-patchwork, r-cran-rdhs, r-cran-r.rsp, r-cran-sae, r-cran-dplyr, r-cran-tidyr, r-cran-raster, r-cran-fmesher, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-summer_2.0.0-1.ca2004.1_all.deb
Size: 5222004
MD5sum: f2d0ad9b4b8cd9180ba0cdd993a936b1
SHA1: c5ff46be77d3e05db6f5b9708ad4f24d8b7e8a6c
SHA256: c8ce7cbb58e809512ebc53792922d95b95c98d404a70ed5fd34fe4140e410d5d
SHA512: 1c8bbe0b0354e90ac54be6c698db035cdce964cada0879045ebe4d61919219de4d32852dfec842bad6073f98332b00248c481493889d0f5157c166cd12ab2654
Homepage: https://cran.r-project.org/package=SUMMER
Description: CRAN Package 'SUMMER' (Small-Area-Estimation Unit/Area Models and Methods forEstimation in R)
 Provides methods for spatial and spatio-temporal smoothing of demographic
 and health indicators using survey data, with particular focus on estimating
 and projecting under-five mortality rates, described in Mercer et al. (2015)
 <doi:10.1214/15-AOAS872>, Li et al. (2019)
 <doi:10.1371/journal.pone.0210645>, Wu et al. (DHS Spatial Analysis Reports
 No. 21, 2021), and Li et al. (2023) <doi:10.48550/arXiv.2007.05117>.

Package: r-cran-sumo
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-rlang, r-cran-dplyr, r-cran-readr, r-cran-readxl, r-cran-stringr, r-cran-data.table, r-cran-magrittr, r-cran-officer
Suggests: r-cran-testthat, r-bioc-mofadata, r-bioc-mofa2, r-cran-rvg, r-bioc-fabia, r-cran-tidyverse, r-bioc-basilisk, r-cran-systemfonts
Filename: pool/dists/focal/main/r-cran-sumo_1.2.0-1.ca2004.1_all.deb
Size: 134936
MD5sum: 7f55649cb54551c392756198399c1cbc
SHA1: 02280b8c3dc7e0746b0f549a063287961bcca31f
SHA256: 013eab89dae502e0408c1f00590f724c3a06986cefe87a60bde7a7945ef2d05e
SHA512: 6ef7e31d030a09413c2b35146f9ead59779c7a13f273e10b1f7444289cbedc473291b8dfb99e7e00a1c8323ece354db3d2d0f2ba4bee0b3e787a0edf8ac3eb98
Homepage: https://cran.r-project.org/package=SUMO
Description: CRAN Package 'SUMO' (Generating Multi-Omics Datasets for Testing and Benchmarking)
 Provides tools to simulate multi-omics datasets with predefined signal
 structures. The generated data can be used for testing, validating, and
 benchmarking integrative analysis methods such as factor models and
 clustering approaches. This version includes enhanced signal customization,
 visualization tools (scatter, histogram, 3D), MOFA-based analysis pipelines,
 PowerPoint export, and statistical profiling of datasets. Designed for both
 method development and teaching, SUMO supports real and synthetic data
 pipelines with interpretable outputs. Tini, Giulia, et al (2019)
 <doi:10.1093/bib/bbx167>.

Package: r-cran-sumvar
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-sumvar_0.1-1.ca2004.1_all.deb
Size: 99892
MD5sum: bc41ce250096dc9493acc55434733801
SHA1: e0f0c25033fdff46965769e883b1787ba58a6beb
SHA256: 80e37b4038f39d44af4c7becee9190c2170609112f033a36333f6828559a15c3
SHA512: 9cb8499715324a44ed46745e9c12f0a6b93ec72f019ddd28438e962cfa5351748c7002c55534382492179271060dcff2067c55b04df43fc43a848d1d7769711a
Homepage: https://cran.r-project.org/package=sumvar
Description: CRAN Package 'sumvar' (Summarise Continuous, Date and Categorical Variables, Check forDuplicates and Missing Data)
 Explore continuous, date and categorical variables. 'sumvar' aims to bring
 the ease and simplicity of the "sum" and "tab" functions from 'stata'.

Package: r-cran-sunburstr
Architecture: all
Version: 2.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2145
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-d3r, r-cran-dplyr, r-cran-htmlwidgets, r-cran-htmltools
Suggests: r-cran-jsonlite, r-cran-knitr, r-cran-markdown, r-cran-piper, r-cran-testthat, r-cran-tidyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-sunburstr_2.1.8-1.ca2004.1_all.deb
Size: 394088
MD5sum: 83275438ce2d7a7a679ae4d92e13eab3
SHA1: 9910fdfb902fc5aa4f2d76ac8e6b81c82a01b2f4
SHA256: 7b060bb68f841a90ac48b4e98b7bad3b680746baf2a1a23b088b8f68744286cb
SHA512: 77231214160e96177daa52022986a305eb82d89b59aa31b3da8072ec2a0694981d7a1c6b1cf7ea015b5be96b5cc0e126bdcd735702aee7754cb87c710a828d96
Homepage: https://cran.r-project.org/package=sunburstR
Description: CRAN Package 'sunburstR' (Sunburst 'Htmlwidget')
 Make interactive 'd3.js' sequence sunburst diagrams in R with the
 convenience and infrastructure of an 'htmlwidget'.

Package: r-cran-suncalc
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-lubridate, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-suncalc_0.5.1-1.ca2004.1_all.deb
Size: 61584
MD5sum: 0cac6be08d19e935084a90ae0180fc3d
SHA1: 31d2445891ba7ef33df720efd129627337e81255
SHA256: 0dd875ccb2181bb3ff21c0ca3879b509aa3dc04191ab558330cb23dcee9e8e87
SHA512: a7ebad9f3f10c5b4c72de592db356d0f4e956446315a59bae93a21b2deccdf9ba2d7da0be3c562716577c51a4eac95c993e1558b63740139a750b034e8f0edfb
Homepage: https://cran.r-project.org/package=suncalc
Description: CRAN Package 'suncalc' (Compute Sun Position, Sunlight Phases, Moon Position and LunarPhase)
 Get sun position, sunlight phases (times for sunrise, sunset, dusk, etc.),
 moon position and lunar phase for the given location and time. Most
 calculations are based on the formulas given in Astronomy Answers articles
 about position of the sun and the planets :
 <https://www.aa.quae.nl/en/reken/zonpositie.html>.

Package: r-cran-suncalcmeeus
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-lutz, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-suncalcmeeus_0.1.2-1.ca2004.1_all.deb
Size: 141248
MD5sum: c1c589f3f52ec686798a15ad68ec4376
SHA1: c9858203d98a6a79566761d28626ddc646dc6338
SHA256: 197b218972ac4c2b52edc756a63b3159c43bf6434883f074ee44bb2a3cad51e4
SHA512: 5ebcc844c31855165cf9b772d7216c4bebb9f7a95eb9708168b49553798aaa9ddefe2ff389c8e38eb403f5ac9b1c9e590085be401553f27ed1a4232c4aec7f6d
Homepage: https://cran.r-project.org/package=SunCalcMeeus
Description: CRAN Package 'SunCalcMeeus' (Sun Position and Daylight Calculations)
 Compute the position of the sun, and local solar time using Meeus' formulae.
 Compute day and/or night length using different twilight definitions or
 arbitrary sun elevation angles. This package is part of the 'r4photobiology'
 suite, Aphalo, P. J. (2015) <doi:10.19232/uv4pb.2015.1.14>. Algorithms from
 Meeus (1998, ISBN:0943396611).

Package: r-cran-sunclarco
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-sunclarco_1.0.0-1.ca2004.1_all.deb
Size: 156136
MD5sum: b07e05e847107a8299051503e85cff37
SHA1: 8e35ec713eaab9ffd88576e95fc6494405654b10
SHA256: fd077241af15765694ac2b1e8b09f4d88a465b42f9ba5a92cfee6d561d410bcf
SHA512: f35813b5bcfac2ff0df6af473ac71f7746c5837751ea01e64acc04a463ce7bb948b68a4b46b7a8374a473a000c4fc343578a1b2dc2300b1e8a8569a36eba8ebc
Homepage: https://cran.r-project.org/package=Sunclarco
Description: CRAN Package 'Sunclarco' (Survival Analysis using Copulas)
 Survival analysis for unbalanced clusters using Archimedean copulas (Prenen
 et al. (2016) <DOI:10.1111/rssb.12174>).

Package: r-cran-sungeo
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1230
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-data.table, r-cran-dplyr, r-cran-rcurl, r-cran-jsonlite, r-cran-terra, r-cran-raster, r-cran-stringr, r-cran-purrr, r-cran-measurements, r-cran-rann, r-cran-cartogram, r-cran-packcircles, r-cran-rmapshaper, r-cran-spdep, r-cran-rcpp, r-cran-httr, r-cran-rlang, r-cran-automap
Filename: pool/dists/focal/main/r-cran-sungeo_1.3.0-1.ca2004.1_all.deb
Size: 1218068
MD5sum: 26cf620baa2d03ea7d15d6a9a75f84b4
SHA1: 16e0607ccd18369562daad0dd94da1e08ab6e63f
SHA256: 73aa670fd06c119638d162dd2d4523c3c4c495b4d05d5b58fa939a96ebfa9888
SHA512: fd56456404f638b90400fc6720ce628fd395bc8f60f9b8684ad5903ad04eb1e938478b4cdf3e00f0a1574699fb384cf8f21aea300c2f5057eb68faa70b11e059
Homepage: https://cran.r-project.org/package=SUNGEO
Description: CRAN Package 'SUNGEO' (Sub-National Geospatial Data Archive: Geoprocessing Toolkit)
 Tools for integrating spatially-misaligned GIS datasets. Part of the
 Sub-National Geospatial Data Archive System.

Package: r-cran-sunsvoc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3977
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ddiv, r-cran-magrittr, r-cran-stringr, r-cran-dplyr, r-cran-purrr, r-cran-data.table, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-sunsvoc_0.1.2-1.ca2004.1_all.deb
Size: 3982512
MD5sum: 8a5d0801828aa727825d33a487e9ac9e
SHA1: e7524337e11f39f024c12f9ab094b59dab7f84c0
SHA256: 5216651cb177ea7c1036c3e14f8c7f9da219eb903743884d41c5ceb47784a568
SHA512: 47930b182d562101171904be3a513231f0603e5290999ad6b2b978956a294d67c9f848d80a7bd47a30fe721df0c7deef88db1fab19ca0d16580253742b473d3d
Homepage: https://cran.r-project.org/package=SunsVoc
Description: CRAN Package 'SunsVoc' (Constructing Suns-Voc from Outdoor Time-Series I-V Curves)
 Suns-Voc (or Isc-Voc) curves can provide the current-voltage (I-V)
 characteristics of the diode of photovoltaic cells without the effect of
 series resistance.  Here, Suns-Voc curves can be constructed with outdoor
 time-series I-V curves [1,2,3] of full-size photovoltaic (PV) modules
 instead of having to be measured in the lab.  Time series of four different
 power loss modes can be calculated based on obtained Isc-Voc curves.  This
 material is based upon work supported by the U.S. Department of Energy's
 Office of Energy Efficiency and Renewable Energy (EERE) under Solar Energy
 Technologies Office (SETO) Agreement Number DE-EE0008172.  Jennifer L. Braid
 is supported by the U.S. Department of Energy (DOE) Office of Energy
 Efficiency and Renewable Energy administered by the Oak Ridge Institute for
 Science and Education (ORISE) for the DOE.  ORISE is managed by Oak Ridge
 Associated Universities (ORAU) under DOE contract number DE-SC0014664.  [1]
 Wang, M. et al, 2018.  <doi:10.1109/PVSC.2018.8547772>.  [2] Walters et al,
 2018 <doi:10.1109/PVSC.2018.8548187>.  [3] Guo, S. et al, 2016.
 <doi:10.1117/12.2236939>.

Package: r-cran-suntersampling
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-suntersampling_1.0.1-1.ca2004.1_all.deb
Size: 23652
MD5sum: bf3ca2966b723831d272d695f56fc56f
SHA1: a03e5bc92adb3cfa8c09c8bafa546f2c524437b0
SHA256: 8733a5ecc4c75cf3f5f6c420cb645da84f699f2b45262da3b8258b45e2e2e639
SHA512: 401dff9fca54f477a950129da10524cf2db008ed8608ef184bd65de2ff5581683fdbdefb44926ffda5ac6426a6efd33b3f6511484db7c0c935f40b01ca5f974c
Homepage: https://cran.r-project.org/package=SunterSampling
Description: CRAN Package 'SunterSampling' (Sunter's sampling design)
 Functions for drawing samples according to Sunter's sampling design, and for
 computing first and second order inclusion probabilities

Package: r-cran-suntools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-suntools_1.0.1-1.ca2004.1_all.deb
Size: 74756
MD5sum: 698c359320c52682351364bc21a4eb0c
SHA1: cccae6b6ce6ea6dc6e57c584522544f520762a8e
SHA256: 6977334df84137c93f26431b30bc901850ee97a42a7880ef81f505304337b2a0
SHA512: 890b949fea06996571bd89d4d8c0d61d9cdf0ba91068acc8e2769994754003432f3390de55922a5e8aeef992041f3447edc74a0391eb219da421d8a946c509d6
Homepage: https://cran.r-project.org/package=suntools
Description: CRAN Package 'suntools' (Calculate Sun Position, Sunrise, Sunset, Solar Noon and Twilight)
 Provides a set of convenient functions for calculating sun-related
 information, including the sun's position (elevation and azimuth), and the
 times of sunrise, sunset, solar noon, and twilight for any given
 geographical location on Earth. These calculations are based on equations
 provided by the National Oceanic & Atmospheric Administration (NOAA)
 <https://gml.noaa.gov/grad/solcalc/calcdetails.html> as described in
 "Astronomical Algorithms" by Jean Meeus (1991, ISBN: 978-0-943396-35-4).

Package: r-cran-supcluster
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mvtnorm, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-supcluster_1.0.1-1.ca2004.1_all.deb
Size: 112236
MD5sum: 0f4a0f255bdcd9bdaaddc37fbb411cc9
SHA1: 8909f5cd5ff33375d426fa277acbba8cb50062f8
SHA256: 8bd29deda6ac20123fe62b7c2c5e8490afbf8dd86ba7c09157929a46fa35a2ed
SHA512: a3c8534d515072e941eb5f8bdda536e41b6ea1659826da9f95758c3e2246b57e0de8e8cc2e12c2ee4c3ce4dddef6e5e4f9f057c59ac1f02afedd20c10c8f0ce3
Homepage: https://cran.r-project.org/package=supcluster
Description: CRAN Package 'supcluster' (Supervised Cluster Analysis)
 Clusters features under the assumption that each cluster has a random effect
 and there is an outcome variable that is related to the random effects by a
 linear regression. In this way the cluster analysis is ``supervised'' by the
 outcome variable. An alternate specification is that features in each
 cluster have the same compound symmetric normal distribution, and the
 conditional distribution of the outcome given the features has the same
 coefficient for each feature in a cluster.

Package: r-cran-superb
Architecture: all
Version: 0.95.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3190
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lsr, r-cran-plyr, r-cran-ggplot2, r-cran-stringr, r-cran-foreign, r-cran-shiny, r-cran-shinybs, r-cran-rrapply, r-cran-rdpack
Suggests: r-cran-dplyr, r-cran-psych, r-cran-emojifont, r-cran-fmultivar, r-cran-gridextra, r-cran-knitr, r-cran-lattice, r-cran-lawstat, r-cran-boot, r-cran-png, r-cran-reshape2, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-sadists, r-cran-scales, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-superb_0.95.19-1.ca2004.1_all.deb
Size: 1603144
MD5sum: deb519915aa46ad904f436369a825ab0
SHA1: 691223fb19a90b56a698263d5ba58f54ae462c8e
SHA256: 6ca985782a85caf2dfa453ca303dd7a269a85831e6668538accf73d1c37c5c88
SHA512: 1db4f0dc292bc4c57a54dccae3dd22b7ea34bf8d530f72dfb9fea2d66f7016434b2a1a0c169865c9d6c8bb039c6b045d77c8a001b31dbc86082aaf8998b10b66
Homepage: https://cran.r-project.org/package=superb
Description: CRAN Package 'superb' (Summary Plots with Adjusted Error Bars)
 Computes standard error and confidence interval of various descriptive
 statistics under various designs and sampling schemes. The main function,
 superbPlot(), return a plot. superbData() returns a dataframe with the
 statistic and its precision interval so that other plotting package can be
 used. See Cousineau and colleagues (2021) <doi:10.1177/25152459211035109> or
 Cousineau (2017) <doi:10.5709/acp-0214-z> for a review as well as Cousineau
 (2005) <doi:10.20982/tqmp.01.1.p042>, Morey (2008)
 <doi:10.20982/tqmp.04.2.p061>, Baguley (2012)
 <doi:10.3758/s13428-011-0123-7>, Cousineau & Laurencelle (2016)
 <doi:10.1037/met0000055>, Cousineau & O'Brien (2014)
 <doi:10.3758/s13428-013-0441-z>, Calderini & Harding
 <doi:10.20982/tqmp.15.1.p001> for specific references.

Package: r-cran-superbiclust
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biclust, r-bioc-fabia, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-superbiclust_1.2-1.ca2004.1_all.deb
Size: 218048
MD5sum: 878a9e31e126eb1c508738e471b4f5eb
SHA1: 94391405849f81eeb7de005578cce4b35211b60d
SHA256: b43353a2d989cdc0ade20aacb5366fbcbc1bfe4f97d997ff5ca1fc689a5bc893
SHA512: be87752ac6cce634581e5c6e1d4d4b71ce77f0caf5b22685daa086bd159bf050f3b4c3376e4dcbdb7738d3325550e8ecb81935c7c2a0973cc038fe389c7af68d
Homepage: https://cran.r-project.org/package=superbiclust
Description: CRAN Package 'superbiclust' (Generating Robust Biclusters from a Bicluster Set (EnsembleBiclustering))
 Biclusters are submatrices in the data matrix which satisfy certain
 conditions of homogeneity. Package contains functions for generating robust
 biclusters with respect to the initialization parameters for a given
 bicluster solution contained in a bicluster set in data, the procedure is
 also known as ensemble biclustering. The set of biclusters is evaluated
 based on the similarity of its elements (the overlap), and afterwards the
 hierarchical tree is constructed to obtain cut-off points for the classes of
 robust biclusters.  The result is a number of robust (or super) biclusters
 with none or low overlap.

Package: r-cran-supercell
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3750
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-rann, r-cran-weightedcluster, r-cran-corpcor, r-cran-weights, r-cran-hmisc, r-cran-matrix, r-cran-matrixstats, r-cran-plyr, r-cran-irlba, r-cran-patchwork, r-cran-ggplot2, r-cran-umap, r-cran-entropy, r-cran-rtsne, r-cran-dbscan, r-cran-scales, r-cran-plotfunctions, r-cran-proxy, r-cran-rlang
Suggests: r-bioc-singlecellexperiment, r-bioc-summarizedexperiment, r-cran-cowplot, r-bioc-scater, r-cran-seurat, r-cran-knitr, r-cran-rmarkdown, r-cran-remotes, r-bioc-bluster, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-supercell_1.0.1-1.ca2004.1_all.deb
Size: 3460160
MD5sum: 2dc8b349cddd9bdcfcbdac600e85344c
SHA1: 0309dd2536b4e68a6de0cd14320910ce75031a4e
SHA256: f8b29290637f08c4d421402ea92d7099da1ecbe7ece8037783b1db9ad3c23611
SHA512: 04c8b0cf01a640e9b9bdf4745292a80a479f4b830cb24393f82468202835c0f088d0561c9bb179037022c528cfdb0aacd1e4173b39e00aaffd5275c3e75be3a5
Homepage: https://cran.r-project.org/package=SuperCell
Description: CRAN Package 'SuperCell' (Simplification of scRNA-Seq Data by Merging Together SimilarCells)
 Aggregates large single-cell data into metacell dataset by merging together
 gene expression of very similar cells. 'SuperCell' uses 'velocyto.R'
 <doi:10.1038/s41586-018-0414-6>
 <https://github.com/velocyto-team/velocyto.R> for RNA velocity. We also
 recommend installing 'scater' Bioconductor package
 <doi:10.18129/B9.bioc.scater>
 <https://bioconductor.org/packages/release/bioc/html/scater.html>.

Package: r-cran-supercompress
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-supercompress_1.1-1.ca2004.1_all.deb
Size: 21132
MD5sum: b387a88dd9e48fc83ddb3510bb203e0a
SHA1: 9912a1813f9bd71a0c1425a40f4446bb9f748d98
SHA256: 2a3a7a30360f8d5819a4c0060f420e76c27e7e1bacd64515ad2c964406ae3e71
SHA512: 373312ddf9dbfbff9ef3f1a9bd300ad626041096d486719b190c0ec603bc398d654c6c3c01eaf12cebee9ac58bd896b09c1d12c98a8b24370f2e847656cbe050
Homepage: https://cran.r-project.org/package=supercompress
Description: CRAN Package 'supercompress' (Supervised Compression of Big Data)
 A supervised compression method that incorporates the response for reducing
 big data to a carefully selected subset. Please see Joseph and Mak (2021)
 <doi:10.1002/sam.11508>. This research is supported by a U.S. National
 Science Foundation (NSF) grant CMMI-1921646.

Package: r-cran-superdiag
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2432
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda
Filename: pool/dists/focal/main/r-cran-superdiag_2.0-1.ca2004.1_all.deb
Size: 2333732
MD5sum: e888160b374f983fcdae08b582d9165d
SHA1: b08d370bb39e36ed289c25e583c1059b12dc5a50
SHA256: 545c963f6dd634a988a2fdf265ff6cfb0067bd1b229cb3da3fe0cd9edf09b420
SHA512: 5fb7b93861c1d67f5cec29b2a536bd4fff3a5cb09a211a038683e4163526c4be3f79e8d37b867648c17b876930171f53d8d2cdb5335dee408440b2c3734e2088
Homepage: https://cran.r-project.org/package=superdiag
Description: CRAN Package 'superdiag' (A Comprehensive Test Suite for Testing Markov ChainNonconvergence)
 The 'superdiag' package provides a comprehensive test suite for testing
 Markov Chain nonconvergence. It integrates five standard empirical MCMC
 convergence diagnostics (Gelman-Rubin, Geweke, Heidelberger-Welch,
 Raftery-Lewis, and Hellinger distance) and plotting functions for trace
 plots and density histograms. The functions of the package can be used to
 present all diagnostic statistics and graphs at once for conveniently
 checking MCMC nonconvergence.

Package: r-cran-superheat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gtable, r-cran-magrittr, r-cran-plyr, r-cran-scales, r-cran-ggdendro
Suggests: r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-superheat_0.1.0-1.ca2004.1_all.deb
Size: 120104
MD5sum: 4061f673f096d6aa3e6fb3f8a41bbfa9
SHA1: 1eee9d0104ac9ac2e03f79b2e85f606435b561f4
SHA256: 65e6deafd41df97805a643074a0b4901607d92a523e2331b0f78f75ed5a0eb07
SHA512: ae94046a2ad3862a4e6d054d6eab66f673e6ea81da815991c46a871365e136b836c8ae6147bd8934d3538aac32ea08e47981422a5dcffbeb258408eca756d94d
Homepage: https://cran.r-project.org/package=superheat
Description: CRAN Package 'superheat' (A Graphical Tool for Exploring Complex Datasets Using Heatmaps)
 A system for generating extendable and customizable heatmaps for exploring
 complex datasets, including big data and data with multiple data types.

Package: r-cran-superlearner
Architecture: all
Version: 2.0-29-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 831
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nnls, r-cran-gam, r-cran-cvauc
Suggests: r-cran-arm, r-cran-bartmachine, r-cran-biglasso, r-cran-bigmemory, r-cran-caret, r-cran-class, r-cran-devtools, r-cran-e1071, r-cran-earth, r-cran-gbm, r-bioc-genefilter, r-cran-ggplot2, r-cran-glmnet, r-cran-ipred, r-cran-kernelknn, r-cran-kernlab, r-cran-knitr, r-cran-lattice, r-cran-logicreg, r-cran-mass, r-cran-mlbench, r-cran-nloptr, r-cran-nnet, r-cran-party, r-cran-polspline, r-cran-prettydoc, r-cran-quadprog, r-cran-randomforest, r-cran-ranger, r-cran-rhpcblasctl, r-cran-rocr, r-cran-rmarkdown, r-cran-rpart, r-cran-sis, r-cran-speedglm, r-cran-spls, r-bioc-sva, r-cran-testthat, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-superlearner_2.0-29-1.ca2004.1_all.deb
Size: 565264
MD5sum: 91510d3d748ef6063a66400b6372712a
SHA1: 4fed5bd656e8515af5ce2932a3aa53b955164ea2
SHA256: b2f03eb66a250ec3c818ff864c905292fe30061649cdf9d2e0669c6964dd933a
SHA512: d8fe02c1ad78b7c651b8bd3f7a713dc60ef8b053805e569472d6edbda8a5b58d689cb5dec19aa2d07539e41e461eb8bb6b58f7d27fd681e2c2790abd979c5b23
Homepage: https://cran.r-project.org/package=SuperLearner
Description: CRAN Package 'SuperLearner' (Super Learner Prediction)
 Implements the super learner prediction method and contains a library of
 prediction algorithms to be used in the super learner.

Package: r-cran-supermice
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mice, r-cran-superlearner
Suggests: r-cran-arm, r-cran-bartmachine, r-cran-class, r-cran-e1071, r-cran-earth, r-cran-extratrees, r-cran-gbm, r-cran-glmnet, r-cran-ipred, r-cran-kernelknn, r-cran-kernlab, r-cran-logicreg, r-cran-mass, r-cran-nnet, r-cran-party, r-cran-polspline, r-cran-randomforest, r-cran-ranger, r-cran-rpart, r-cran-speedglm, r-cran-spls, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-supermice_1.1.1-1.ca2004.1_all.deb
Size: 43436
MD5sum: 4897854e148942b69bbaf03e61236464
SHA1: 1e080aeb37cc187f9d3f8e58d960bb5a196faadd
SHA256: 4f51da0f123335c945fdf3b408cdcf13c1a36da3cb2c9b4e5a21c04294424e34
SHA512: 0695b0ef04d5b09d683bdb018bd2cb9e139e52bb3639a7df4f37656e31a2c397fc28a269690a106ba357e25865b8fb829d58ece5ffe4828793c1fb54b6b6fb36
Homepage: https://cran.r-project.org/package=superMICE
Description: CRAN Package 'superMICE' (SuperLearner Method for MICE)
 Adds a Super Learner ensemble model method (using the 'SuperLearner'
 package) to the 'mice' package. Laqueur, H. S., Shev, A. B., Kagawa, R. M.
 C. (2021) <doi:10.1093/aje/kwab271>.

Package: r-cran-supernova
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-car, r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-lintr, r-cran-lme4, r-cran-magrittr, r-cran-readr, r-cran-remotes, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-supernova_3.0.0-1.ca2004.1_all.deb
Size: 322704
MD5sum: 472494144ab39571a6d044c8fd76cec5
SHA1: b3053f4ca9d4569e8f79a77f86ef17b7aa7a12b3
SHA256: 00f6ef2046e0b26a1302a77e7dc436c124f5382cf88b8b3eed5bdd93a4027aa7
SHA512: 03fa64c6fed4ff6a4fc39b7332f3f0a075d35db3f468f168a23bcac1a0df6a7c7ba44f15811e978106f836d9411f16b408ac0e2fd789573d6645bed70b160a69
Homepage: https://cran.r-project.org/package=supernova
Description: CRAN Package 'supernova' (Judd, McClelland, & Ryan Formatting for ANOVA Output)
 Produces ANOVA tables in the format used by Judd, McClelland, and Ryan
 (2017, ISBN: 978-1138819832) in their introductory textbook, Data Analysis.
 This includes proportional reduction in error and formatting to improve ease
 the transition between the book and R.

Package: r-cran-superpc
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-superpc_1.12-1.ca2004.1_all.deb
Size: 291796
MD5sum: 89addf15d8357c872808701f3029371e
SHA1: b9544e85ccea9a810b7117f9f07798ead815088e
SHA256: 8dc04cb32038e320f7004678bb56c4c2b15efb5f2d873e93dfaaf49f02f30289
SHA512: 076c1f448d2cfad4f5cac2d2ce38b0e45330462bf41196439ca64e0bbe23f20c591e45b4d761dea9783b4305a43c2cc39ffc9fc086aaa809a5c31d571807b10b
Homepage: https://cran.r-project.org/package=superpc
Description: CRAN Package 'superpc' (Supervised Principal Components)
 Does prediction in the case of a censored survival outcome, or a regression
 outcome, using the "supervised principal component" approach. 'Superpc' is
 especially useful for high-dimensional data when the number of features p
 dominates the number of samples n (p >> n paradigm), as generated, for
 instance, by high-throughput technologies.

Package: r-cran-superpca
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-rspectra, r-cran-psych, r-cran-fbasics, r-cran-r.matlab, r-cran-glmnet, r-cran-mass, r-cran-matrixstats, r-cran-timeseries, r-cran-matlabr, r-cran-spls, r-cran-pracma, r-cran-matlab
Filename: pool/dists/focal/main/r-cran-superpca_0.4.0-1.ca2004.1_all.deb
Size: 126816
MD5sum: c8f9e3fb2fe127f9ef4b5704678439cc
SHA1: a65d778c4df21f0b0ab4d1d941f70f4b3891f930
SHA256: 07b8f3f36b4cac3e6e85ec24ee0198580b71397cd15bcebe731aa3fa0a07939e
SHA512: 3bc54d2e0044be7820a307ed1fcd6a79d78fec9bd6197abcfc71721b8a73685ebc24c3fd207ad2ed827d93e481a6a1a4c63f800e33ff0e72bd0e2c0210596d80
Homepage: https://cran.r-project.org/package=SuperPCA
Description: CRAN Package 'SuperPCA' (Supervised Principal Component Analysis)
 Dimension reduction of complex data with supervision from auxiliary
 information. The package contains a series of methods for different data
 types (e.g., multi-view or multi-way data) including the supervised singular
 value decomposition (SupSVD), supervised sparse and functional principal
 component (SupSFPC), supervised integrated factor analysis (SIFA) and
 supervised PARAFAC/CANDECOMP factorization (SupCP). When auxiliary data are
 available and potentially affect the intrinsic structure of the data of
 interest, the methods will accurately recover the underlying low-rank
 structure by taking into account the supervision from the auxiliary data.
 For more details, see the paper by Gen Li, <DOI:10.1111/biom.12698>.

Package: r-cran-superpower
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2301
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-afex, r-cran-emmeans, r-cran-ggplot2, r-cran-reshape2, r-cran-dplyr, r-cran-magrittr, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-pwr, r-cran-testthat, r-cran-covr, r-cran-jmvcore, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-superpower_0.2.4-1.ca2004.1_all.deb
Size: 1432828
MD5sum: 2c0af96709e14ff0b7310d4ae05cc6e5
SHA1: af17edeb46413d0953496ff97183f1cd8f16cf45
SHA256: 7de9b1f01897af1300770e313400fe0965f5640d8205887e267dff95d54ebc24
SHA512: 5673be783466f8af4586270f23a6753def7b4dc400e57eec6286b23266e6ca392390b6cdb8967dfce76121a74203837c6e289beb7c20de99da468838143ee564
Homepage: https://cran.r-project.org/package=Superpower
Description: CRAN Package 'Superpower' (Simulation-Based Power Analysis for Factorial Designs)
 Functions to perform simulations of ANOVA designs of up to three factors.
 Calculates the observed power and average observed effect size for all main
 effects and interactions in the ANOVA, and all simple comparisons between
 conditions. Includes functions for analytic power calculations and
 additional helper functions that compute effect sizes for ANOVA designs,
 observed error rates in the simulations, and functions to plot power curves.
 Please see Lakens, D., & Caldwell, A. R. (2021). "Simulation-Based Power
 Analysis for Factorial Analysis of Variance Designs".
 <doi:10.1177/2515245920951503>.

Package: r-cran-superspreading
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-epiparameter, r-cran-fitdistrplus, r-cran-ggplot2, r-cran-ggtext, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-superspreading_0.3.0-1.ca2004.1_all.deb
Size: 641596
MD5sum: 69895d21db7e00eb0e0be382fc9eaed3
SHA1: df04202afee4fdf6a641f7dffc2b86a3b6770b9e
SHA256: 56ae42ddf72c1b2a0245270e7ae3ce37506c55ed35b6c3f1921e5f0643a7406e
SHA512: e412273e149546dcf18231e983f919a570a2d7e44821ea39247680dfd0b7023082c703267244b9980d28bef63cc642169534e2fb612dc78b8dfc2deace1e4310
Homepage: https://cran.r-project.org/package=superspreading
Description: CRAN Package 'superspreading' (Understand Individual-Level Variation in Infectious DiseaseTransmission)
 Estimate and understand individual-level variation in transmission.
 Implements density and cumulative compound Poisson discrete distribution
 functions ('Kremer et al.' (2021) <doi:10.1038/s41598-021-93578-x>), as well
 as functions to calculate infectious disease outbreak statistics given
 epidemiological parameters on individual-level transmission; including the
 probability of an outbreak becoming an epidemic/extinct ('Kucharski et al.'
 (2020) <doi:10.1016/S1473-3099(20)30144-4>), or the cluster size statistics,
 e.g. what proportion of cases cause X\% of transmission ('Lloyd-Smith et
 al.' (2005) <doi:10.1038/nature04153>).

Package: r-cran-supervisedprim
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-prim
Suggests: r-cran-kernlab, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-supervisedprim_2.0.0-1.ca2004.1_all.deb
Size: 18772
MD5sum: 75f9d13ea8685393eb963080bfd37fb1
SHA1: 6b6223be39c8433040c3a8e92e6a27607f2fb395
SHA256: d6a9b6f34eb31a43b6f21cb859814646b60310264eaa805afa5c813391d78ab7
SHA512: bafe4dfcaac01e69f958b0bc7382630b7921e25a0e996ecac8884fbf3bf3b7db1ef65d6f6fec1c1bc3bcd1cfe226847ccf5407a439b3be2b7b5d4e378c1af01a
Homepage: https://cran.r-project.org/package=supervisedPRIM
Description: CRAN Package 'supervisedPRIM' (Supervised Classification Learning and Prediction using PatientRule Induction Method (PRIM))
 The Patient Rule Induction Method (PRIM) is typically used for "bump
 hunting" data mining to identify regions with abnormally high concentrations
 of data with large or small values. This package extends this methodology so
 that it can be applied to binary classification problems and used for
 prediction.

Package: r-cran-supmz
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-supmz_0.2.0-1.ca2004.1_all.deb
Size: 23976
MD5sum: fd8e81aa9a906d47508efec77855e525
SHA1: 1aa2528b1e0fdfb8d8473dd3404772688a0bec06
SHA256: 2c62e3ee4258a5c7a3c7e5c1de6267746259422c1cf8a9b740f53e72e9329cde
SHA512: 4aa218a816f6ccfbe767cd364af1473e9ac715cba7211e85f2ff2b943d3ed43d05030de9a0107519d8140e0d6337584841dc3ba319e6889d352732ea8bf489d1
Homepage: https://cran.r-project.org/package=SupMZ
Description: CRAN Package 'SupMZ' (Detecting Structural Change with Heteroskedasticity)
 Calculates the sup MZ value to detect the unknown structural break points
 under Heteroskedasticity as given in Ahmed et al. (2017) (<DOI:
 10.1080/03610926.2016.1235200>).

Package: r-cran-suppdata
Architecture: all
Version: 1.1-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-rcrossref
Suggests: r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-suppdata_1.1-9-1.ca2004.1_all.deb
Size: 123728
MD5sum: 74685cdc4424449a8f6cb820691e0fdc
SHA1: 497a6d67323d97a2597409053926294747756bab
SHA256: a2faa72245b3601305e01c2ff6e44a8ded78bdb4664599512614ec853ffaa764
SHA512: 4264188b099b5c762d47a50f018f499620b244ffbbcb9642d1498f0bc258a1e8bd9bf240e34a43fd5efcab2a855195396521111c541f5d8e19b80af15eabd8ed
Homepage: https://cran.r-project.org/package=suppdata
Description: CRAN Package 'suppdata' (Downloading Supplementary Data from Published Manuscripts)
 Downloads data supplementary materials from manuscripts, using papers' DOIs
 as references. Facilitates open, reproducible research workflows: scientists
 re-analyzing published datasets can work with them as easily as if they were
 stored on their own computer, and others can track their analysis workflow
 painlessly. The main function suppdata() returns a (temporary) location on
 the user's computer where the file is stored, making it simple to use
 suppdata() with standard functions like read.csv().

Package: r-cran-support.bws2
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-doe.base, r-cran-survival
Filename: pool/dists/focal/main/r-cran-support.bws2_0.4-0-1.ca2004.1_all.deb
Size: 106812
MD5sum: 27ec75e5f9b44522fea9ab5fcfe8cf83
SHA1: fda21a48449bfddd86521798a1f15d5b0e7473f7
SHA256: 5e2e6c9a3dd928e3101e3b788b6dcddf81fa9f9fafafdb3d151ce9ba947303f5
SHA512: 9b3029e3364dc9cab74eec37aab10dbcdfc317414fd9dfe897da8689e4e14f4e38f7a569efd0159c25a48d5a643fef96af050595b222b0ec4a048b4c012fc06e
Homepage: https://cran.r-project.org/package=support.BWS2
Description: CRAN Package 'support.BWS2' (Tools for Case 2 Best-Worst Scaling)
 Provides three basic functions that support an implementation of Case 2
 (profile case) best-worst scaling. The first is to convert an orthogonal
 main-effect design into questions, the second is to create a dataset
 suitable for analysis, and the third is to calculate count-based scores. For
 details, see Aizaki and Fogarty (2019) <doi:10.1016/j.jocm.2019.100171>.

Package: r-cran-support.bws3
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-crossdes, r-cran-doe.base, r-cran-support.ces, r-cran-survival
Filename: pool/dists/focal/main/r-cran-support.bws3_0.2-1-1.ca2004.1_all.deb
Size: 72324
MD5sum: 879753e6ba961f80039e2ffa0ee1b2c6
SHA1: 2221d28b960aea6f9687b894f130d0a1f5c2bb9a
SHA256: 71ce72464f8c8a424edbbb2738cf88c67aaea5c0c4b4ff41e7903be299047924
SHA512: a96820d0b384ae08d14d69344facac0bf456162de4872130dad5025a93006d3e4d346db091b897863e24c5a5da8fb8237eab1744dab50f2533127460a0f7fd91
Homepage: https://cran.r-project.org/package=support.BWS3
Description: CRAN Package 'support.BWS3' (Tools for Case 3 Best-Worst Scaling)
 Provides basic functions that support an implementation of multi-profile
 case (Case 3) best-worst scaling (BWS). Case 3 BWS is a question-based
 survey method to elicit people's preferences for attribute levels. Case 3
 BWS constructs various combinations of attribute levels (profiles) and then
 asks respondents to select the best and worst profiles in each choice set. A
 main function creates a dataset for the analysis from the choice sets and
 the responses to the questions. For details on Case 3 BWS, refer to Louviere
 et al. (2015) <doi:10.1017/CBO9781107337855>.

Package: r-cran-support.bws
Architecture: all
Version: 0.4-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-doe.base, r-cran-crossdes, r-cran-survival, r-cran-mlogit, r-cran-gmnl, r-cran-apollo
Filename: pool/dists/focal/main/r-cran-support.bws_0.4-6-1.ca2004.1_all.deb
Size: 124652
MD5sum: 17538d6333850cb861df8f5b8d506714
SHA1: a4f8eddadbb99cf4de2a30e7355e0ccbcb06788e
SHA256: 8569a2db621faf58db8bb0b0d49b32646da4b2ac9018505a0869a6fa14180fac
SHA512: d8a741eba9188e3c90aadce8e581ed5d3a2c7856e3b9542b0942ae69c756544b487dc7cf912c08b418ac98c388e58474c8721156ef9339793bb41a36065d153d
Homepage: https://cran.r-project.org/package=support.BWS
Description: CRAN Package 'support.BWS' (Tools for Case 1 Best-Worst Scaling)
 Provides basic functions that support an implementation of object case (Case
 1) best-worst scaling: a function for converting a two-level orthogonal
 main-effect design/balanced incomplete block design into questions; two
 functions for creating a data set suitable for analysis; a function for
 calculating count-based scores; a function for calculating shares of
 preference; and a function for generating artificial responses to questions.
 See Louviere et al. (2015) <doi:10.1017/CBO9781107337855> for details on
 best-worst scaling, and Aizaki and Fogarty (2023)
 <doi:10.1016/j.jocm.2022.100394> for the package.

Package: r-cran-support.ces
Architecture: all
Version: 0.7-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doe.base, r-cran-mass, r-cran-simex
Suggests: r-cran-survival, r-cran-mded
Filename: pool/dists/focal/main/r-cran-support.ces_0.7-0-1.ca2004.1_all.deb
Size: 127700
MD5sum: 2bcd216bc60d0f56576589b070f0c91f
SHA1: 0baf1b969efbccefe3da3658eba769f6e70704f6
SHA256: 586f94557612e32e2f4eb3021c3caa328e9dfa3ae9546e79593b51f1619ce8e2
SHA512: 3f6c7b10b3d7f5422176d5b7dfad07fb8250803d6c5fc4640c86ec484eb8c19e1ca06e2d0798373d0c7a41edddf13e48a5a83790f32cb96a1135c4c893f2511b
Homepage: https://cran.r-project.org/package=support.CEs
Description: CRAN Package 'support.CEs' (Basic Functions for Supporting an Implementation of ChoiceExperiments)
 Provides basic functions that support an implementation of (discrete) choice
 experiments (CEs). CEs is a question-based survey method measuring people's
 preferences for goods/services and their characteristics. Refer to Louviere
 et al. (2000) <doi:10.1017/CBO9780511753831> for details on CEs, and Aizaki
 (2012) <doi:10.18637/jss.v050.c02> for the package.

Package: r-cran-supportint
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-profilelikelihood
Filename: pool/dists/focal/main/r-cran-supportint_1.1-1.ca2004.1_all.deb
Size: 44716
MD5sum: b8f27dd4a22ab398aefabb4be816b18b
SHA1: 0067b0043d7b655d825f58de821482f92f950a72
SHA256: 8fe78c94a1e66fa005c6f1e5dc81a1ffab4bbc2dad4baafc59513b6b9b8d2790
SHA512: 224c599734b29ee0b36983b261d2916ed47f57e650a26576821db34b8e164e70467d8c640fc5adcd2e1de1dc7b7b76614f102fca7dc11ef49ac69615da233074
Homepage: https://cran.r-project.org/package=supportInt
Description: CRAN Package 'supportInt' (Calculates Likelihood Support Intervals for Common Data Types)
 Calculates likelihood based support intervals for several common data types
 including binomial, Poisson, normal, lm(), and glm(). For the binomial,
 Poisson, and normal data likelihood intervals are calculated via root
 finding algorithm. Additional parameters allow the user to specify whether
 they would like to receive a parametric bootstrap estimate of the confidence
 level of said support interval. For lm() and glm(), the function returns
 profile likelihoods for each coefficient in the model.

Package: r-cran-supportr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.tree, r-cran-dplyr, r-cran-ggplot2, r-cran-gh, r-cran-googledrive, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-scales, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-vegan
Suggests: r-cran-ape, r-cran-devtools, r-cran-knitr, r-cran-palmerpenguins, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-supportr_1.5.0-1.ca2004.1_all.deb
Size: 411216
MD5sum: 55e332feb76e22a15779805bb1bc41e6
SHA1: e215a438fec0d4cd58787be73d8decf721888dc1
SHA256: 4328c2d9ede1e9c745a7a13fb0c7a618bc94ca071510e30e760e13cc8d93c0eb
SHA512: 332ac2bc16bbb4c7b59300545c8fa099160d78ec8e3a0ff37d0b63ab45b9a581442b69e80872790b1e8289af07c590062da8fa9b39dddfff21549063a2ce100a
Homepage: https://cran.r-project.org/package=supportR
Description: CRAN Package 'supportR' (Support Functions for Wrangling and Visualization)
 Suite of helper functions for data wrangling and visualization.  The only
 theme for these functions is that they tend towards simple, short, and
 narrowly-scoped.  These functions are built for tasks that often recur but
 are not large enough in scope to warrant an ecosystem of interdependent
 functions.

Package: r-cran-supreme
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 585
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml, r-cran-nomnoml, r-cran-shiny
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-digest
Filename: pool/dists/focal/main/r-cran-supreme_1.1.0-1.ca2004.1_all.deb
Size: 501960
MD5sum: 4b5fcf6445fa3274411b91e844d1442f
SHA1: 48d32c1dd38c1aec17b0f3a4dcf905eaa5bd624b
SHA256: 4494611a43b0bfe8c82675214ee54294adbf1acaf873613b25706194387f57c4
SHA512: 260fa47a8e46c736d020a9dc02b7a661f0073905c3e3cac421593474283c8c4fcae481d7dd9bff692521cf3affe100ab1231f072cb159ddf6c078a4300050e62
Homepage: https://cran.r-project.org/package=supreme
Description: CRAN Package 'supreme' (Modeling Tool for 'Shiny' Applications Developed with Modules)
 A modeling tool helping users better structure 'Shiny' applications
 developed with 'Shiny' modules. Users are able to: 1. Visualize relationship
 of modules in existing applications 2. Design new applications from scratch.

Package: r-cran-sur
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-learnr
Filename: pool/dists/focal/main/r-cran-sur_1.0.4-1.ca2004.1_all.deb
Size: 184148
MD5sum: f73422b38d3ab4359ed7bfb3a9915e32
SHA1: f6245ff3aa3d73a1dcc4aecd95e837e941ab4ea0
SHA256: 493265735aed11e93d1f840875f8c7946fb2d3ed5355081dd3a898792247e14a
SHA512: 43a1a2e49525b5bec472c3337bf9de63c96e4119f0c9639b063ad6669900a9c5f8c43c942d154f253bbfc6c155e34aa414c9cf5fdb67b9621ad7193fec6d18f1
Homepage: https://cran.r-project.org/package=sur
Description: CRAN Package 'sur' (Companion to "Statistics Using R: An Integrative Approach")
 Access to the datasets and many of the functions used in "Statistics Using
 R: An Integrative Approach". These datasets include a subset of the National
 Education Longitudinal Study, the Framingham Heart Study, as well as several
 simulated datasets used in the examples throughout the textbook. The
 functions included in the package reproduce some of the functionality of
 'Stata' that is not directly available in 'R'.  The package also contains a
 tutorial on basic data frame management, including how to handle missing
 data.

Package: r-cran-sure
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-goftest, r-cran-gridextra
Suggests: r-cran-mass, r-cran-ordinal, r-cran-rms, r-cran-testthat, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-sure_0.2.0-1.ca2004.1_all.deb
Size: 138960
MD5sum: 73c64a9d77bdeabf2b81228fc4761c66
SHA1: e01baf97e69e3f57eec5a0386bdefb8ba014943a
SHA256: ed7a1509704f0f8a31ab5b66f988dd7ae292746d6e977196cdd38c0e1bde9415
SHA512: 777b7cabf01fb2760b88245fb41038ade27590de8015a5d2f7b132053f8144ff6e83853316c845274605e78d373c50c56dae2032a50e9cb3d9f9f1e115bd1299
Homepage: https://cran.r-project.org/package=sure
Description: CRAN Package 'sure' (Surrogate Residuals for Ordinal and General Regression Models)
 An implementation of the surrogate approach to residuals and diagnostics for
 ordinal and general regression models; for details, see Liu and Zhang (2017)
 <doi:10.1080/01621459.2017.1292915>. These residuals can be used to
 construct standard residual plots for model diagnostics (e.g.,
 residual-vs-fitted value plots, residual-vs-covariate plots, Q-Q plots,
 etc.).  The package also provides an 'autoplot' function for producing
 standard diagnostic plots using 'ggplot2' graphics. The package currently
 supports cumulative link models from packages 'MASS', 'ordinal', 'rms', and
 'VGAM'.  Support for binary regression models using the standard 'glm'
 function is also available.

Package: r-cran-surf.vs
Architecture: all
Version: 1.1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-dplyr
Suggests: r-cran-foreach, r-cran-doparallel, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-surf.vs_1.1.0.1-1.ca2004.1_all.deb
Size: 94856
MD5sum: 7417ab214f441e18d544e64c8c52bcc4
SHA1: 8580c9f3ad57ce3632260ac7ef2e08dd5f86c70f
SHA256: 9edf2cb9e65f374f99311513f0f64046c2e5a9b373f50102e967f40550686353
SHA512: facfd28906f794eb49ee3f4b43b3528c5fc5129d99ecdaf3282138288fbfe98b0848dcb9a1c17e84102379876281a8301ac2a40f815ee963573748f80468e0a8
Homepage: https://cran.r-project.org/package=SuRF.vs
Description: CRAN Package 'SuRF.vs' (Subsampling Ranking Forward Selection (SuRF))
 Performs variable selection based on subsampling, ranking forward selection.
 Details of the method are published in Lihui Liu, Hong Gu, Johan Van
 Limbergen, Toby Kenney (2020) SuRF: A new method for sparse variable
 selection, with application in microbiome data analysis Statistics in
 Medicine 40 897-919 <doi:10.1002/sim.8809>. Xo is the matrix of predictor
 variables. y is the response variable. Currently only binary responses using
 logistic regression are supported. X is a matrix of additional predictors
 which should be scaled to have sum 1 prior to analysis. fold is the number
 of folds for cross-validation. Alpha is the parameter for the elastic net
 method used in the subsampling procedure: the default value of 1 corresponds
 to LASSO. prop is the proportion of variables to remove in the each
 subsample. weights indicates whether observations should be weighted by
 class size. When the class sizes are unbalanced, weighting observations can
 improve results. B is the number of subsamples to use for ranking the
 variables. C is the number of permutations to use for estimating the
 critical value of the null distribution. If the 'doParallel' package is
 installed, the function can be run in parallel by setting ncores to the
 number of threads to use. If the default value of 1 is used, or if the
 'doParallel' package is not installed, the function does not run in
 parallel. display.progress indicates whether the function should display
 messages indicating its progress. family is a family variable for the glm()
 fitting. Note that the 'glmnet' package does not permit the use of
 nonstandard link functions, so will always use the default link function.
 However, the glm() fitting will use the specified link. The default is
 binomial with logistic regression, because this is a common use case. pval
 is the p-value for inclusion of a variable in the model. Under the null
 case, the number of false positives will be geometrically distributed with
 this as probability of success, so if this parameter is set to p, the
 expected number of false positives should be p/(1-p).

Package: r-cran-surf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 225
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-numderiv, r-cran-survey, r-cran-mass, r-cran-abind
Suggests: r-cran-testthat, r-cran-sampling, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-surf_1.0.0-1.ca2004.1_all.deb
Size: 193912
MD5sum: 67a5f1f2804723315d7e07d7e558d5f6
SHA1: d56eac15735a6fc314c649c1d19ad606f1775882
SHA256: a3054d25dcb62cff519c0233cd380598c4a852d04d0c35aa4b56b6dd2409095b
SHA512: b2bcc61029185f400446245cefcae71e5324665a0fbd45780426572b502c4f9067b7a266817dfad59e3c977b78dbafa0b7221db306a6f5c95fd452dc36a673bf
Homepage: https://cran.r-project.org/package=surf
Description: CRAN Package 'surf' (Survey-Based Gross Flows Estimation)
 Estimation of gross flows under non-response and complex sampling designs,
 using Gutiérrez, Nascimento Silva and Trujillo (2014)
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2014002/article/14113-eng.pdf>
 complex sampling extension of the non-response model developed by Stasny
 (1987)
 <https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/some-markov-chain-models-for-nonresponse-in-estimating-gross-labor-force-flows.pdf>.
 It estimates the gross flows process under non-response by modelling the
 observable cross-tabulation counts as a two-stage Markov Chain process,
 combining (1) the unobservable Markov Chain describing the transition of
 states; and (2) the non-response process, given by the initial response
 probabilities and the response/non-response transition probabilities.

Package: r-cran-surface
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-ouch, r-cran-mass, r-cran-geiger, r-cran-phytools
Suggests: r-cran-igraph
Filename: pool/dists/focal/main/r-cran-surface_0.6-1.ca2004.1_all.deb
Size: 342736
MD5sum: a4cc0942dc49e8bd9da581388cb6bf30
SHA1: d4eff0365c23afb1a3f80ebd846af7c0406fe48f
SHA256: dd5ca7d7bfda0f68eaa2c6aa63eb5665640df119c39c72107e77dcfbf0f7e794
SHA512: 3dc0f211bd247478dd275ba92f84233d5c48a471d30495535ce431a734f1752b30695affed70aadcfe448c019f3149b901513d3a5e8b559472ed5325ab6893e6
Homepage: https://cran.r-project.org/package=surface
Description: CRAN Package 'surface' (Fitting Hansen Models to Investigate Convergent Evolution)
 This data-driven phylogenetic comparative method fits stabilizing selection
 models to continuous trait data, building on the 'ouch' methodology of
 Butler and King (2004) <doi:10.1086/426002>. The main functions fit a series
 of Hansen models using stepwise AIC, then identify cases of convergent
 evolution where multiple lineages have shifted to the same adaptive peak.
 For more information see Ingram and Mahler (2013)
 <doi:10.1111/2041-210X.12034>.

Package: r-cran-surfacetortoise
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-gstat, r-cran-sf
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surfacetortoise_2.0.1-1.ca2004.1_all.deb
Size: 40808
MD5sum: 38ad881ca7c1ce118e18ad97a8c85bdb
SHA1: 71888ba687e041daa22c74fdc9d643bec42f179e
SHA256: 63dfbc54a4624e3caa6ca690595d8c29d05974fa9ddc6a0818c4ea0873b5a35e
SHA512: 91dd372b809ce6f8f41ec387ad73d4f18d5d8f2878039391755a359eb15fa34b5284fdc2e7abab595aaec67e6fa5a8b0e534e16894e35f3bff2d11ef1a3be1a0
Homepage: https://cran.r-project.org/package=SurfaceTortoise
Description: CRAN Package 'SurfaceTortoise' (Find Optimal Sampling Locations Based on Spatial Covariate(s))
 Create sampling designs using the surface reconstruction algorithm.
 Original method by: Olsson, D. 2002. A method to optimize soil sampling from
 ancillary data. Poster presenterad at: NJF seminar no. 336, Implementation
 of Precision Farming in Practical Agriculture, 10-12 June 2002, Skara,
 Sweden.

Package: r-cran-surfrough
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4464
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-terra
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-surfrough_0.0.1.0-1.ca2004.1_all.deb
Size: 4053220
MD5sum: 0459a67e1c2ee7bfd6e8709bbbb3096d
SHA1: 6f266872cc5eb56193607bcb2b12b1d75c6a2d2a
SHA256: 16d3dd150549461bd81c57bbdb084360d682398a6b3acb8e90361ad7eadee6f1
SHA512: f587522e308b527a0f171489dbf9c232ee778dca52d83a7b8bcfd90c79a34941c8d46418e2e972ab639d2098c4f20b8db4d21feedfeaf4fba9066b3d16b98e8a
Homepage: https://cran.r-project.org/package=SurfRough
Description: CRAN Package 'SurfRough' (Calculate Surface/Image Texture Indexes)
 Methods for the computation of surface/image texture indices using a
 geostatistical based approach (Trevisani et al. (2023)
 <doi:10.1016/j.geomorph.2023.108838>). It provides various functions for the
 computation of surface texture indices (e.g., omnidirectional roughness and
 roughness anisotropy), including the ones based on the robust MAD estimator.
 The kernels included in the software permit also to calculate the
 surface/image texture indices directly from the input surface (i.e., without
 de-trending) using increments of order 2. It also provides the new radial
 roughness index (RRI), representing the improvement of the popular
 topographic roughness index (TRI). The framework can be easily extended with
 ad-hoc surface/image texture indices.

Package: r-cran-surreal
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1073
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-png
Filename: pool/dists/focal/main/r-cran-surreal_0.0.1-1.ca2004.1_all.deb
Size: 1025872
MD5sum: e9195494e89e0b8e33eee71c97126962
SHA1: 1aa64d18bd89a80a1df34df83631d73ee981968f
SHA256: 33b0ba4f2206be9452f5868aa2255908cb74039d7801ffdd1aa4d23988ec95b8
SHA512: 8bc3230de8dbefa992140c42392d83b732b7b1bf466d54cbe73e442daa3816b8490e73591e308267bd13691f7a7e920ef748dc4d27cf48157a46de0e3872a910
Homepage: https://cran.r-project.org/package=surreal
Description: CRAN Package 'surreal' (Create Datasets with Hidden Images in Residual Plots)
 Implements the "Residual (Sur)Realism" algorithm described by Stefanski
 (2007) <doi:10.1198/000313007X190079> to generate datasets that reveal
 hidden images or messages in their residual plots. It offers both predefined
 datasets and tools to embed custom text or images into residual structures.
 Allowing users to create intriguing visual demonstrations for teaching model
 diagnostics.

Package: r-cran-surrogate
Architecture: all
Version: 3.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2358
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-lattice, r-cran-latticeextra, r-cran-survival, r-cran-nlme, r-cran-lme4, r-cran-logistf, r-cran-rms, r-cran-ks, r-cran-extradistr, r-cran-pbapply, r-cran-flexsurv, r-cran-rvinecopulib, r-cran-maxlik, r-cran-purrr, r-cran-mbess, r-cran-tidyr, r-cran-dplyr, r-cran-tibble, r-cran-lifecycle
Suggests: r-cran-copula, r-cran-fnn, r-cran-mgcv, r-cran-testthat, r-cran-vdiffr, r-cran-fitdistrplus, r-cran-kdecopula, r-cran-cubature, r-cran-mvtnorm, r-cran-withr, r-cran-stringr, r-cran-ggplot2, r-cran-sn, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-surrogate_3.4.1-1.ca2004.1_all.deb
Size: 2190472
MD5sum: 78cfe70766789eea78bf70b5e7a1f8de
SHA1: a2bb56aa488e9515906704f399bfeb376b881204
SHA256: 2814e0ab0314b905437f8676d83bb43c21133afb4bac1320cdbbba3e656a5b6d
SHA512: e32da1a91934fb9f1d968eae657731910bb85bf416f2605f0d0a3a992447515116a6caf410d3d4ee3017ded9c32a313822216ba5f0af674829ca526971560ac1
Homepage: https://cran.r-project.org/package=Surrogate
Description: CRAN Package 'Surrogate' (Evaluation of Surrogate Endpoints in Clinical Trials)
 In a clinical trial, it frequently occurs that the most credible outcome to
 evaluate the effectiveness of a new therapy (the true endpoint) is difficult
 to measure. In such a situation, it can be an effective strategy to replace
 the true endpoint by a (bio)marker that is easier to measure and that allows
 for a prediction of the treatment effect on the true endpoint (a surrogate
 endpoint). The package 'Surrogate' allows for an evaluation of the
 appropriateness of a candidate surrogate endpoint based on the
 meta-analytic, information-theoretic, and causal-inference frameworks. Part
 of this software has been developed using funding provided from the European
 Union's Seventh Framework Programme for research, technological development
 and demonstration (Grant Agreement no 602552), the Special Research Fund
 (BOF) of Hasselt University (BOF-number: BOF2OCPO3), GlaxoSmithKline
 Biologicals, Baekeland Mandaat (HBC.2022.0145), and Johnson & Johnson
 Innovative Medicine.

Package: r-cran-surrogateoutcome
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-surrogateoutcome_1.1-1.ca2004.1_all.deb
Size: 135896
MD5sum: e5ca0ed5a7196abef68814b719b01018
SHA1: 6b475d182d1912989b23112221d4248623c6ea38
SHA256: e31eeb36b7f0e08c9c077de78c8c19eda19c869bf81d4c9ed69b210de7f48b2a
SHA512: 5351bd51afcf0e5564c88a8f9ff7df31d1f20cc5a84b576aef4d4a78b402d8f9cb8ae7ae51f268c1f722d6aae4ffe65fb6fa9d0eed019e6ab63d4577ed3b1f8a
Homepage: https://cran.r-project.org/package=SurrogateOutcome
Description: CRAN Package 'SurrogateOutcome' (Estimation of the Proportion of Treatment Effect Explained bySurrogate Outcome Information)
 Provides functions to estimate the proportion of treatment effect on a
 censored primary outcome that is explained by the treatment effect on a
 censored surrogate outcome/event. All methods are described in detail in
 Parast, Tian, Cai (2020) "Assessing the Value of a Censored Surrogate
 Outcome" <doi:10.1007/s10985-019-09473-1>. The main functions are (1)
 R.q.event() which calculates the proportion of the treatment effect (the
 difference in restricted mean survival time at time t) explained by
 surrogate outcome information observed up to a selected landmark time, (2)
 R.t.estimate() which calculates the proportion of the treatment effect
 explained by primary outcome information only observed up to a selected
 landmark time, and (3) IV.event() which calculates the incremental value of
 the surrogate outcome information.

Package: r-cran-surrogateparadoxtest
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-monotonicitytest
Filename: pool/dists/focal/main/r-cran-surrogateparadoxtest_2.0-1.ca2004.1_all.deb
Size: 50624
MD5sum: 7d28c53f8a40de132fe4aa6c227c1de6
SHA1: 53f6610386bd10a3d4f68f69a3b036c1e1839d6c
SHA256: 49527f86a24800fc32f9be3d353d57b637104c0b76aa41b9bcf61ff3f35d76f3
SHA512: e84bf7f7674fab4119b32b8415ba34a2c91cd9e197a7d68d434743cf13d7cbd6da34b28caa2f4b884e5bba13115a3449014c2b526f8cc438fe8a863ab8d66ef6
Homepage: https://cran.r-project.org/package=SurrogateParadoxTest
Description: CRAN Package 'SurrogateParadoxTest' (Empirical Testing of Surrogate Paradox Assumptions)
 Provides functions to nonparametrically assess assumptions necessary to
 prevent the surrogate paradox through hypothesis tests of stochastic
 dominance, monotonicity of regression functions, and non-negative residual
 treatment effects. More details are available in Hsiao et al 2025 (under
 review). A tutorial for this package can be found at
 <https://laylaparast.com/home/SurrogateParadoxTest.html>.

Package: r-cran-surrogaterank
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-pbmcapply
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-surrogaterank_2.0-1.ca2004.1_all.deb
Size: 465388
MD5sum: d67da87e79df6431aeed3880ab67954e
SHA1: c99cc3127724d4b6983054750d1f0f95b83e7903
SHA256: 9787fbccca3fb25c5d4831ed8cde77ffe89063eeff0464a6be780e19640f5ef1
SHA512: f6a4498206b5220a39630effe3949e7264ac2f896a921875780ff255bd5b37e9cc3c7d0ba04027d5dfa9f6747a6d75c6e8fb46b1982319843645447ce2164db2
Homepage: https://cran.r-project.org/package=SurrogateRank
Description: CRAN Package 'SurrogateRank' (Rank-Based Test to Evaluate a Surrogate Marker)
 Uses a novel rank-based nonparametric approach to evaluate a surrogate
 marker in a small sample size setting. Details are described in Parast et al
 (2024) <doi:10.1093/biomtc/ujad035> and Hughes A et al (2025)
 <doi:10.48550/arXiv.2502.03030>. A tutorial for this package can be found at
 <https://www.laylaparast.com/surrogaterank> and a Shiny App implementing the
 package can be found at <https://parastlab.shinyapps.io/SurrogateRankApp/>.

Package: r-cran-surrogatersq
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1264
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-passo, r-cran-progress, r-cran-scales
Suggests: r-cran-r.rsp, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-surrogatersq_0.2.1-1.ca2004.1_all.deb
Size: 1225912
MD5sum: c9e4c53a4ac707c402085bcdff8d8afd
SHA1: 65b53b23becbe68bbef42b8b415737afb7776d06
SHA256: 5a03b6f0d110d15d90bd7f0e09c1be51e4002eb1ab5b536b7c91e59fc5f0c4be
SHA512: 40e13b5dcd86c6b1abbdbc6fc0810aba32cf4f4af054c1e9f31bf80ad9f65c97ea12430f2361629599ce5149d38599ce2d9cb1aa3ebd39b2100ee5c66e911815
Homepage: https://cran.r-project.org/package=SurrogateRsq
Description: CRAN Package 'SurrogateRsq' (Goodness-of-Fit Analysis for Categorical Data using theSurrogate R-Squared)
 To assess and compare the models' goodness of fit, R-squared is one of the
 most popular measures. For categorical data analysis, however, no
 universally adopted R-squared measure can resemble the ordinary least square
 (OLS) R-squared for linear models with continuous data. This package
 implement the surrogate R-squared measure for categorical data analysis,
 which is proposed in the study of Dungang Liu, Xiaorui Zhu, Brandon
 Greenwell, and Zewei Lin (2022) <doi:10.1111/bmsp.12289>. It can generate a
 point or interval measure of the surrogate R-squared. It can also provide a
 ranking measure of the percentage contribution of each variable to the
 overall surrogate R-squared. This ranking assessment allows one to check the
 importance of each variable in terms of their explained variance. This
 package can be jointly used with other existing R packages for variable
 selection and model diagnostics in the model-building process.

Package: r-cran-surrogateseq
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-surrogateseq_1.0-1.ca2004.1_all.deb
Size: 130064
MD5sum: c6692e9730af8fca5b9aabae3bd3a119
SHA1: 5783f3e43f17044ab6ea04153db4b35f7437471f
SHA256: da03027ff1dac033d9993575fbd32cd7095744892df5410db9e460512b6cf36b
SHA512: 4765bdc1aae6761ade254c55b161d5190f68890ef6e9c84338bf03161171d77e1157394161d10a5b6ee1b23a152e8db221f72526a251017f033756d0ae6d3563
Homepage: https://cran.r-project.org/package=SurrogateSeq
Description: CRAN Package 'SurrogateSeq' (Group Sequential Testing of a Treatment Effect Using a SurrogateMarker)
 Provides functions to implement group sequential procedures that allow for
 early stopping to declare efficacy using a surrogate marker and the
 possibility of futility stopping.  More details are available in: Parast, L.
 and Bartroff, J (2024) <doi:10.1093/biomtc/ujae108>. A tutorial for this
 package can be found at <https://laylaparast.com/home/SurrogateSeq.html>.

Package: r-cran-surrogatetest
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-surrogatetest_1.3-1.ca2004.1_all.deb
Size: 157676
MD5sum: 49e5f259551aeffae66da19041c5fec6
SHA1: de5a9555ba7cd76597ddaf8096c02d1389b22588
SHA256: c6a870828591d5306eb5df63f56f343a343d00aacf06443d53bde1ce48f58d65
SHA512: 8cedfce6ef53c5549569e65c5555b9c99617e7f4f4ddd5bf52054319744a722245212c365fda56ff2125ebc8b12786dc66d459a4c18c8d9d7538432b69e2ccca
Homepage: https://cran.r-project.org/package=SurrogateTest
Description: CRAN Package 'SurrogateTest' (Early Testing for a Treatment Effect using Surrogate MarkerInformation)
 Provides functions to test for a treatment effect in terms of the difference
 in survival between a treatment group and a control group using surrogate
 marker information obtained at some early time point in a time-to-event
 outcome setting. Nonparametric kernel estimation is used to estimate the
 test statistic and perturbation resampling is used for variance estimation.
 More details will be available in the future in: Parast L, Cai T, Tian L
 (2019) ``Using a Surrogate Marker for Early Testing of a Treatment Effect"
 Biometrics, 75(4):1253-1263. <doi:10.1111/biom.13067>.

Package: r-cran-surrosurv
Architecture: all
Version: 1.1.26-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 766
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-copula, r-cran-eha, r-cran-lme4, r-cran-mass, r-cran-matrix, r-cran-msm, r-cran-mvmeta, r-cran-optimx, r-cran-parfm, r-cran-survival
Suggests: r-cran-r.rsp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surrosurv_1.1.26-1.ca2004.1_all.deb
Size: 719048
MD5sum: beb7f9ef35266275e122d928763115df
SHA1: b0786a13629fc05697edbc47a047b52f7c1983ad
SHA256: b6652941e2ef413391adb9cd782463e5ca1b4233c2f74cbc7f676639277e73c1
SHA512: e98e8f2dd97bae24eee637c57a48190e8613c7aebaac1baf19df48f5e143f9afeb1807d05a20d63e8b9841769fa2e473c8e9fa54015cf3d357dc27ed8276f3b7
Homepage: https://cran.r-project.org/package=surrosurv
Description: CRAN Package 'surrosurv' (Evaluation of Failure Time Surrogate Endpoints in IndividualPatient Data Meta-Analyses)
 Provides functions for the evaluation of surrogate endpoints when both the
 surrogate and the true endpoint are failure time variables. The approaches
 implemented are: (1) the two-step approach (Burzykowski et al, 2001)
 <DOI:10.1111/1467-9876.00244> with a copula model (Clayton, Plackett,
 Hougaard) at the first step and either a linear regression of log-hazard
 ratios at the second step (either adjusted or not for measurement error);
 (2) mixed proportional hazard models estimated via mixed Poisson GLM (Rotolo
 et al, 2017 <DOI:10.1177/0962280217718582>).

Package: r-cran-surrosurvroc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-surrosurvroc_0.1.0-1.ca2004.1_all.deb
Size: 36016
MD5sum: 8427dcdc423aef084089de12efeeec96
SHA1: 08ff57f9704f9deef9725151ea8d75d4c52082d5
SHA256: 8102b431912e54a2415c655f79c1f401bccc682882ac122e4bed6e2b749e678d
SHA512: 0f3111da973973be55ce046dcdf8b427558ad040ce0108374e9ae05992bbb276d3fc67ba007c8afcc28db43d15a1d0ee1f0a12069573d57e51afaecb800e5d48
Homepage: https://cran.r-project.org/package=surrosurvROC
Description: CRAN Package 'surrosurvROC' (Surrogate Survival ROC)
 Nonparametric and semiparametric estimations of the time-dependent ROC curve
 for an incomplete failure time data with surrogate failure time endpoints.

Package: r-cran-surtex
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-surtex_0.9-1.ca2004.1_all.deb
Size: 15740
MD5sum: b0acea36c9dd474f5d11c385dc75c888
SHA1: f824d372bcdf4f47a942706a5750249cb6513eba
SHA256: 52ade221de95f7c85b9f8982da076e30bcbe06fff7fa97f50183b3331cca7736
SHA512: 74d770743f6c592cd84cf041a003c65da580ffb23fe4422c9105ac0ef86269b31cd506cc351dbc4c8c1886424175142fdd3380effca21d5e25872d95f2bb22c2
Homepage: https://cran.r-project.org/package=suRtex
Description: CRAN Package 'suRtex' (LaTeX descriptive statistic reporting for survey data)
 suRtex was designed for easy descriptive statistic reporting of categorical
 survey data (e.g., Likert scales) in LaTeX. suRtex takes a matrix or data
 frame and produces the LaTeX code necessary for a sideways table creation.
 Mean, median, standard deviation, and sample size are optional.

Package: r-cran-surv2samplecomp
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-flexsurv, r-cran-plotrix, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-surv2samplecomp_1.0-5-1.ca2004.1_all.deb
Size: 59772
MD5sum: cb037b776fbea78bbc030bcd2ae29311
SHA1: 6135e4bec0c98488bf928f583ad648f2dbd5abd4
SHA256: 1f21d1943fe6f50d898ddb1b08d10b986b5afd32414390952abcf1f5b5483430
SHA512: d21bb5b87265067afde96cbab470d719587213d5e9c41dc71ba26f72f4ec3d59e09011eb3513aa40924a3f2f8a8063a2bde89bd280b9904a5524b098f72f1281
Homepage: https://cran.r-project.org/package=surv2sampleComp
Description: CRAN Package 'surv2sampleComp' (Inference for Model-Free Between-Group Parameters for CensoredSurvival Data)
 Performs inference of several model-free group contrast measures, which
 include difference/ratio of cumulative incidence rates at given time points,
 quantiles, and restricted mean survival times (RMST). Two kinds of covariate
 adjustment procedures (i.e., regression and augmentation) for inference of
 the metrics based on RMST are also included.

Package: r-cran-survah
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survah_1.0.0-1.ca2004.1_all.deb
Size: 86488
MD5sum: 7fed26685de414a40b0e05f6918df3fa
SHA1: 5cd67e18f135960c69a1a3ddea84bfe5a8d82f40
SHA256: 48531cc4ae1d9f8d079301154ce9633462e5db766681a7ddabd3f4df4d8d7d26
SHA512: 4a8baac70377e7ac775105a315caa289971d3744c4266e6fb7475cd3bcb95f6d214d3dba49f436bb9059b784ca15261df1a4472a7040ac6a08613442a58455f2
Homepage: https://cran.r-project.org/package=survAH
Description: CRAN Package 'survAH' (Survival Data Analysis using Average Hazard)
 Performs two-sample comparisons based on average hazard with survival weight
 (AHSW) or general censoring-free incidence rate (CFIR) proposed by Uno and
 Horiguchi (2023) <doi:10.1002/sim.9651>.

Package: r-cran-survawkmt2
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survawkmt2_1.0.1-1.ca2004.1_all.deb
Size: 29020
MD5sum: 5c7572710def52cf3e00642e6669609e
SHA1: 5605a1451cffc85e7ff355cd8cb2f3a8cee26600
SHA256: 02c4b8a2cdf3a51562751830e794014bed193b80fdca99498f4df7697e32c7e6
SHA512: 0fe4e0cd3178a9f8cf38a2b9082d38cf353200e21d109a4e3ea494c61e5e05962e0da5dcf466845bbf7351d7fcc724136558f44dd67efcac9e9afe2214c24563
Homepage: https://cran.r-project.org/package=survAWKMT2
Description: CRAN Package 'survAWKMT2' (Two-Sample Tests Based on Differences of Kaplan-Meier Curves)
 Tests for equality of two survival functions based on integrated weighted
 differences of two Kaplan-Meier curves.

Package: r-cran-survbootoutliers
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-bioc-biocparallel
Filename: pool/dists/focal/main/r-cran-survbootoutliers_1.0-1.ca2004.1_all.deb
Size: 197584
MD5sum: 32ebdce0cee7317c3aabea97be44b3c1
SHA1: 4e34d42e64b48ff72a14f86e1146c37ad3590efc
SHA256: 5ef679a517ac21c00897182896507362a11fd4a35ddc6465b187a97234fd5980
SHA512: ad09cfe409d358e4d56df3098d98c084ed524ed136d1a79e06783145d5fa00c65794a9d87e2166a33d348cbd78c506b27dc8e076b3049eb6c1e0f55aba234690
Homepage: https://cran.r-project.org/package=survBootOutliers
Description: CRAN Package 'survBootOutliers' (Concordance Based Bootstrap Methods for Outlier Detection inSurvival Analysis)
 Three new methods to perform outlier detection in a survival context. In
 total there are six methods provided, the first three methods are
 traditional residual-based outlier detection methods, the second three are
 the concordance-based. Package developed during the work on the two
 following publications: Pinto J., Carvalho A. and Vinga S. (2015)
 <doi:10.5220/0005225300750082>; Pinto J.D., Carvalho A.M., Vinga S. (2015)
 <doi:10.1007/978-3-319-27926-8_22>.

Package: r-cran-survcompare
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 276
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-timeroc, r-cran-caret, r-cran-glmnet, r-cran-randomforestsrc, r-cran-missforestpredict
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survcompare_0.3.0-1.ca2004.1_all.deb
Size: 174604
MD5sum: 048b6761d3d26cc1b245de480a53a91a
SHA1: 3857456b890899376c1ca24daa65b6affedb58f8
SHA256: e91c168608b536c549f1687381db439666e9de410f05bcd8beb967a8137ff582
SHA512: 188af3852afdf8fcf0d77b179482b0a9bf045688d02eea3c5959f0388757ed165cf043bca385fa26c670265aa3ef7882b728d81145c480987b46a64e4689391d
Homepage: https://cran.r-project.org/package=survcompare
Description: CRAN Package 'survcompare' (Nested Cross-Validation to Compare Cox-PH, Cox-Lasso, SurvivalRandom Forests)
 Performs repeated nested cross-validation for Cox Proportionate Hazards, Cox
 Lasso, Survival Random Forest, and their ensemble. Returns internally
 validated concordance index, time-dependent area under the curve, Brier
 score, calibration slope, and statistical testing of non-linear ensemble
 outperforming the baseline Cox model. In this, it helps researchers to
 quantify the gain of using a more complex survival model, or justify its
 redundancy. Equally, it shows the performance value of the non-linear and
 interaction terms, and may highlight the need of further feature
 transformation. Further details can be found in Shamsutdinova, Stamate,
 Roberts, & Stahl (2022) "Combining Cox Model and Tree-Based Algorithms to
 Boost Performance and Preserve Interpretability for Health Outcomes"
 <doi:10.1007/978-3-031-08337-2_15>, where the method is described as
 Ensemble 1.

Package: r-cran-survcorr
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival, r-cran-fields
Filename: pool/dists/focal/main/r-cran-survcorr_1.1-1.ca2004.1_all.deb
Size: 44776
MD5sum: 908dc5f611e6b852f20a4597096f52d3
SHA1: c143351f8d259d168fb42fb611e91bc4e754c661
SHA256: 8a30b3d0aecefb9448a018442b5c4f8ac63f1f50c2e793658303b9610b5453b7
SHA512: 9b8b3c58dbb8079b2285eebdbf57bf4d0a7d2842f32da0c2252c4a80fe867dbb11253cfaad3951c9728391c9ff8c805d9665e283e4410fbb9df8af656504a46b
Homepage: https://cran.r-project.org/package=SurvCorr
Description: CRAN Package 'SurvCorr' (Correlation of Bivariate Survival Times)
 Estimates correlation coefficients with associated confidence limits for
 bivariate, partially censored survival times. Uses the iterative multiple
 imputation approach proposed by Schemper, Kaider, Wakounig and Heinze (2013)
 <doi:10.1002/sim.5874>. Provides a scatterplot function to visualize the
 bivariate distribution, either on the original time scale or as copula.

Package: r-cran-survcurve
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-mstate, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survcurve_1.0-1.ca2004.1_all.deb
Size: 128388
MD5sum: 155881dcad428469e04544612ebc20b7
SHA1: 6277e8227997d83ca17922c83f4fff8dbbacc5c3
SHA256: 2eb4f608a724e7433151391e05e9b9b8e49d469414f88e3aeb45d6bb918d0217
SHA512: 4f15b805cee76a553dd5598f934b341980b73f27223f0d89c82eb441ce0658c9ba9466a0a9a60bd19af60346bd8c75fcc733c0f379ec053ffe7710d0a2cd93e5
Homepage: https://cran.r-project.org/package=survCurve
Description: CRAN Package 'survCurve' (Plots Survival Curves Element by Element)
 Plots survival models from the 'survival' package. Additionally, it plots
 curves of multistate models from the 'mstate' package. Typically, a plot is
 drawn by the sequence survplot(), confIntArea(), survCurve() and nrAtRisk().
 The separation of the plot in this 4 functions allows for great flexibility
 to make a custom plot for publication.

Package: r-cran-survdisc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3534
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cubature, r-cran-mvtnorm, r-cran-mass, r-cran-nlme, r-cran-simex, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survdisc_0.1.1-1.ca2004.1_all.deb
Size: 2898564
MD5sum: 30c108173b38eb80d266d2500f3ee2fc
SHA1: d5f53d199f0f0f401154cd7b8125b0317b631832
SHA256: 664cedf15a3e81de834e162f15039e3143a1db26713e0888845237d015954837
SHA512: 8ccc08545e5c3d005c14ccf61459d7fd2f880cba63dc07f9727a166db33e75e854072a83af22936f37aae4ef4df8f8789f6fce3137e62fbbf27a197d22a97326
Homepage: https://cran.r-project.org/package=SurvDisc
Description: CRAN Package 'SurvDisc' (Discrete Time Survival and Longitudinal Data Analysis)
 Various functions for discrete time survival analysis and longitudinal
 analysis. SIMEX method for correcting for bias for errors-in-variables in a
 mixed effects model. Asymptotic mean and variance of different proportional
 hazards test statistics using different ties methods given two survival
 curves and censoring distributions. Score test and Wald test for regression
 analysis of grouped survival data. Calculation of survival curves for events
 defined by the response variable in a mixed effects model crossing a
 threshold with or without confirmation.

Package: r-cran-surveltest
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso, r-cran-nloptr, r-cran-plyr, r-cran-survival
Filename: pool/dists/focal/main/r-cran-surveltest_2.0.1-1.ca2004.1_all.deb
Size: 173644
MD5sum: 5c196efc854331370d18bbcc992b30c3
SHA1: 9744431fc1da49ce0d2e280b76af0ab2af5886df
SHA256: 4b11ad5a276cc20906ab16cd0ca442ae701ee51d89c51299153e63ece427cadd
SHA512: 1d171e85bc2b14d3a0059290436734f88e2a1742561f59a7f0054b3b6d1c9b6d3fbf4f9d6fdcac6c7476c3c808e17ca497f66629cc5c3ecb347719a70c4861c3
Homepage: https://cran.r-project.org/package=survELtest
Description: CRAN Package 'survELtest' (Comparing Multiple Survival Functions with Crossing Hazards)
 Computing the one-sided/two-sided integrated/maximally selected EL
 statistics for simultaneous testing, the one-sided/two-sided EL tests for
 pointwise testing, and an initial test that precedes one-sided testing to
 exclude the possibility of crossings or alternative orderings among the
 survival functions.

Package: r-cran-survex
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1219
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dalex, r-cran-ggplot2, r-cran-kernelshap, r-cran-pec, r-cran-survival, r-cran-patchwork
Suggests: r-cran-censored, r-cran-covr, r-cran-flexsurv, r-cran-gbm, r-cran-generics, r-cran-glmnet, r-cran-ingredients, r-cran-knitr, r-cran-mboost, r-cran-parsnip, r-cran-progressr, r-cran-randomforestsrc, r-cran-ranger, r-cran-reticulate, r-cran-rmarkdown, r-cran-rms, r-cran-testthat, r-cran-treeshap, r-cran-withr, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-survex_1.2.0-1.ca2004.1_all.deb
Size: 1187308
MD5sum: f5a7f00e505ce9eec4e117ef687b0808
SHA1: 28c29e3c5a82562278a65cef04415564eb99c817
SHA256: fc6de1b332fe29625855c2bc39124c5cdf20a779d244ec25f22abcee291d22d1
SHA512: 405dad7adeeb389dbb953c1375ee349da87f8725363608c044cd86997d05f91210396d7a0353e5c18a010b79cfc9396d8c0f551497f5c842e1cce91976a4ee57
Homepage: https://cran.r-project.org/package=survex
Description: CRAN Package 'survex' (Explainable Machine Learning in Survival Analysis)
 Survival analysis models are commonly used in medicine and other areas. Many
 of them are too complex to be interpreted by human. Exploration and
 explanation is needed, but standard methods do not give a broad enough
 picture. 'survex' provides easy-to-apply methods for explaining survival
 models, both complex black-boxes and simpler statistical models.  They
 include methods specific to survival analysis such as SurvSHAP(t) introduced
 in Krzyzinski et al., (2023) <doi:10.1016/j.knosys.2022.110234>, SurvLIME
 described in Kovalev et al., (2020) <doi:10.1016/j.knosys.2020.106164> as
 well as extensions of existing ones described in Biecek et al., (2021)
 <doi:10.1201/9780429027192>.

Package: r-cran-survexp.fr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-writexls
Filename: pool/dists/focal/main/r-cran-survexp.fr_1.2-1.ca2004.1_all.deb
Size: 82928
MD5sum: 77052b0983184b84541facde5163ceb1
SHA1: a18cae860e6f88872824b6a41e3249b8ccad9697
SHA256: d13cae67b14dced9d343aeb9a13fcc4aeeac7f156defb041778f909b958a0d4e
SHA512: 8543e8380da319c2f2e05fef65f42c79b79145b36b1b084fd2aa194cf8c1e0256b6ae02d74c90dab1271d937afaeddb67f596c8b8c34afb4d9437d7b7d796b65
Homepage: https://cran.r-project.org/package=survexp.fr
Description: CRAN Package 'survexp.fr' (Relative Survival, AER and SMR Based on French Death Rates)
 It computes Relative survival, AER and SMR based on French death rates.

Package: r-cran-surveycc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-candisc, r-cran-survey
Filename: pool/dists/focal/main/r-cran-surveycc_0.2.1-1.ca2004.1_all.deb
Size: 155804
MD5sum: 5deca1794af798df82f4b0fdf670fef0
SHA1: 323704b97823bc8b155a23728bb2b99b7cee9421
SHA256: 673373a60327dad2f7824931823592db5821a4a293635aace5f70af7a9715e31
SHA512: a670b1d037203d8209d87076129000d25254cf2710f4da15375f6084fe64db34e9c813a51594666a9635d38d20573f294a446532cba17aa9b4dcc6a80db1fe63
Homepage: https://cran.r-project.org/package=SurveyCC
Description: CRAN Package 'SurveyCC' (Canonical Correlation for Survey Data)
 Performs canonical correlation for survey data, including multiple tests of
 significance for secondary canonical correlations.  A key feature of this
 package is that it incorporates survey data structure directly in a novel
 test of significance via a sequence of simple linear regression models on
 the canonical variates. See reference - Cruz-Cano, Cohen, and Mead-Morse
 (2024) "Canonical Correlation Analysis of Survey data: the SurveyCC R
 package" The R Journal under review.

Package: r-cran-surveycv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survey, r-cran-magrittr
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-islr, r-cran-knitr, r-cran-rmarkdown, r-cran-rpms, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surveycv_0.2.0-1.ca2004.1_all.deb
Size: 746784
MD5sum: b3efd8ecc151dd03439fdb4753e3f2b4
SHA1: 3aceb9c439246ab4c02649126124e4b8c6ef1b3a
SHA256: 92cd35ecac4b8aaaec6975ed16eda246d5eab7bfe58cf872df5facf618d01c9a
SHA512: 23bd9f1060e6577eeae3ce60a6dc53a81d50bb7a260f3e712042a27a882c3833cfd28de172b69e3ac498b7238bc776cdf274cb7c6112448cfc0769caa585cb67
Homepage: https://cran.r-project.org/package=surveyCV
Description: CRAN Package 'surveyCV' (Cross Validation Based on Survey Design)
 Functions to generate K-fold cross validation (CV) folds and CV test error
 estimates that take into account how a survey dataset's sampling design was
 constructed (SRS, clustering, stratification, and/or unequal sampling
 weights).  You can input linear and logistic regression models, along with
 data and a type of survey design in order to get an output that can help you
 determine which model best fits the data using K-fold cross validation.  Our
 paper on "K-Fold Cross-Validation for Complex Sample Surveys" by Wieczorek,
 Guerin, and McMahon (2022) <doi:10.1002/sta4.454> explains why differing how
 we take folds based on survey design is useful.

Package: r-cran-surveydata
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 881
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-magrittr, r-cran-purrr, r-cran-ggplot2, r-cran-scales, r-cran-tidyr, r-cran-dt, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-covr, r-cran-rprojroot, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-surveydata_0.2.7-1.ca2004.1_all.deb
Size: 357004
MD5sum: 43193bb48dbcc3ffc70e99088fae4091
SHA1: fc704b66c72f8265f8aa498519f3d5604b8870eb
SHA256: 6a91374d88c08a12c58867d390bfadbfecfa5c1036ef1b5a2b7229932d1919d4
SHA512: cafea2e34fa185a6b2c366565f09b096148305aed5dca155e38b5eebbc834b4389a34bfc4af5a64a71d4b6ee9fd672d7498347239b8d90fa6a24c409a3268ec1
Homepage: https://cran.r-project.org/package=surveydata
Description: CRAN Package 'surveydata' (Tools to Work with Survey Data)
 Data obtained from surveys contains information not only about the survey
 responses, but also the survey metadata, e.g. the original survey questions
 and the answer options. The 'surveydata' package makes it easy to keep track
 of this metadata, and to easily extract columns with specific questions.

Package: r-cran-surveydefense
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-flextable
Suggests: r-cran-officer
Filename: pool/dists/focal/main/r-cran-surveydefense_0.2.0-1.ca2004.1_all.deb
Size: 50920
MD5sum: b824531f9bb4a3e60b28be8f9ae3f4b7
SHA1: 3394e48f6defeb7b9937e1d0df315f9894071963
SHA256: 3582abc9cec958debe81252dc2b66e62285a8300072d8b3ba432a5840141acf2
SHA512: a4b3753e05612d757e5b414fffdc5ef4f899642fb98f4f3082b83660c61bf61148a9dad50040131ceabb2ea9a8f67d0149d3d5d00f9b32fae9f9581d2849f0e8
Homepage: https://cran.r-project.org/package=SurveyDefense
Description: CRAN Package 'SurveyDefense' (Survey Defense Tool)
 This tool is designed to analyze up to 5 Fraud Detection Questions
 integrated into a survey, focusing on potential fraudulent participants to
 clean the survey dataset from potential fraud. Fraud Detection Questions and
 further information available at <https://surveydefense.org>.

Package: r-cran-surveydown
Architecture: all
Version: 0.11.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1047
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-cli, r-cran-dbi, r-cran-dotenv, r-cran-dt, r-cran-fs, r-cran-htmltools, r-cran-jsonlite, r-cran-markdown, r-cran-miniui, r-cran-pool, r-cran-quarto, r-cran-rpostgres, r-cran-rstudioapi, r-cran-rvest, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-xml2, r-cran-yaml
Suggests: r-cran-glue, r-cran-knitr, r-cran-leaflet, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surveydown_0.11.0-1.ca2004.1_all.deb
Size: 787640
MD5sum: 08ab4f8c537a42a618eab0b5c7a907f4
SHA1: c4010b2a0bfd3ef402e252f97972367db3e51162
SHA256: a6660be485a5f46ef0d5f00c3d83882cca4068ad7d504562d89921b0939d1194
SHA512: aa5f0c42347f0c6b8eac6b164342f907abd118bace4439154837d7cf2d2c7668003a949d9439e3e61fc43b0211ce6093b002a09fc479d2ae174a6f26c7fd310d
Homepage: https://cran.r-project.org/package=surveydown
Description: CRAN Package 'surveydown' (Markdown-Based Programmable Surveys Using 'Quarto' and 'shiny')
 Generate programmable surveys using markdown and R code chunks. Surveys are
 composed of two files: a survey.qmd 'Quarto' file defining the survey
 content (pages, questions, etc), and an app.R file defining a 'shiny' app
 with global settings (libraries, database configuration, etc.) and server
 configuration options (e.g., conditional skipping / display, etc.). Survey
 data collected from respondents is stored in a 'PostgreSQL' database.
 Features include controls for conditional skip logic (skip to a page based
 on an answer to a question), conditional display logic (display a question
 based on an answer to a question), a customizable progress bar, and a wide
 variety of question types, including multiple choice (single choice and
 multiple choices), select, text, numeric, multiple choice buttons, text
 area, and dates.  Because the surveys render into a 'shiny' app, designers
 can also leverage the reactive capabilities of 'shiny' to create dynamic and
 interactive surveys.

Package: r-cran-surveyeditor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1683
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-surveyeditor_1.0-1.ca2004.1_all.deb
Size: 1195160
MD5sum: f478dcc9709051e204d251361f2a8e76
SHA1: 829aed2c7fb02aff513e544ae751051d437344e4
SHA256: 87e89bb71f5c01519823726669778f5df1a4a063b63733d5e817e840c028b25e
SHA512: 9121f051580297797302c291632ce76d80effbfe697a506c31158b0486c4bb7feed68a97dac6a1ede859e534d5f20447cd37021bb62480e9993f543562a9ca22
Homepage: https://cran.r-project.org/package=surveyeditor
Description: CRAN Package 'surveyeditor' (Generate a Survey that can be Completed by Survey Respondents)
 Help generate slides for surveys or experiments.  The resulted slides allow
 the subject to respond with the use of the mouse (usual keyboard input is
 replaced with clicking on a virtual keyboard on the slide). Subjects'
 responses are saved to the user- specified location in the form of
 R-readable text file. To allow flexibility, each function in this package
 generates a particular type of slides thus general R function writing skills
 are required to compile these edited slides.

Package: r-cran-surveyexplorer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1106
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggupset, r-cran-gt, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surveyexplorer_0.2.0-1.ca2004.1_all.deb
Size: 569076
MD5sum: b9c6468d72e17d6f55ec427c43069d9d
SHA1: 5c86dd3b850b13e6d6fa4a6d09c62c3f0494ec0c
SHA256: 6dd02d7a7a25370a744980709a021e15b69f81b01a807ede23d3d6206fb60e29
SHA512: b97fb7491047c50fc6a7cac49bfd6a82e8eed1916f4c720341f690bcd5d72987e8588f2fe7b62d8df5242ef23843949521e9b0625ac893e38654cdf599568e30
Homepage: https://cran.r-project.org/package=surveyexplorer
Description: CRAN Package 'surveyexplorer' (Quickly Explore Complex Survey Data)
 Visualize and tabulate single-choice, multiple-choice, matrix-style
 questions from survey data.  Includes ability to group cross-tabulations,
 frequency distributions, and plots by categorical variables and to integrate
 survey weights. Ideal for quickly uncovering descriptive patterns in survey
 data.

Package: r-cran-surveynnet
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-nnet, r-cran-practools, r-cran-survey, r-cran-survival
Filename: pool/dists/focal/main/r-cran-surveynnet_1.0.0-1.ca2004.1_all.deb
Size: 144712
MD5sum: ba05964eec52df92d0b26c1e39782061
SHA1: 7aa96887ada7e2eb34d8f0ba1f276dd842d146a0
SHA256: 2ab88a9234acd58ef8005b4a3ccf18eb414f1bd9bdbe34dad7a7ced67d52178e
SHA512: e841bde455e50f398516398556ec835abf072ef7109438ac19cf7c63bb8c5747362ebcb96e8bbba96b882349092a934fd26af34aa61753dbce844d7bf57a6749
Homepage: https://cran.r-project.org/package=surveynnet
Description: CRAN Package 'surveynnet' (Neural Network for Complex Survey Data)
 The goal of 'surveynnet' is to extend the functionality of 'nnet', which
 already supports survey weights, by enabling it to handle clustered and
 stratified data. It achieves this by incorporating design effects through
 the use of effective sample sizes as outlined by Chen and Rust (2017),
 <doi:10.1093/jssam/smw036>, and performed by 'deffCR' in the package
 'PracTools' (Valliant, Dever, and Kreuter (2018),
 <doi:10.1007/978-3-319-93632-1>).

Package: r-cran-surveyoutliers
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 148
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-surveyoutliers_0.1-1.ca2004.1_all.deb
Size: 116604
MD5sum: 72f1714f3b55a5ec651ea2df53e89227
SHA1: a3f0e90cefc39a11619cf423a6f801fa1c424d83
SHA256: 0b917d79af00fc7ed39765ef2842ce0904344de46def771a5d23f8ad9b2bc712
SHA512: f0e3218f52ebff801e0ea0b65be2aee65cdb9248b01cf084a101a6cccb8855492369e93c92e31a7b40caebaff20fe38616953a2bd142f7e7f9d7a8ab32ed71f2
Homepage: https://cran.r-project.org/package=surveyoutliers
Description: CRAN Package 'surveyoutliers' (Helps Manage Outliers in Sample Surveys)
 At present, the only functionality is the calculation of optimal one-sided
 winsorizing cutoffs. The main function is optimal.onesided.cutoff.bygroup.
 It calculates the optimal tuning parameter for one-sided winsorisation, and
 so calculates winsorised values for a variable of interest. See the help
 file for this function for more details and an example.

Package: r-cran-surveyprev
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5961
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey, r-cran-ggplot2, r-cran-rdhs, r-cran-summer, r-cran-dplyr, r-cran-labelled, r-cran-sjlabelled, r-cran-naniar, r-cran-raster, r-cran-sp, r-cran-spdep, r-cran-stringr, r-cran-tidyverse, r-cran-data.table, r-cran-sf, r-cran-matrixstats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-kableextra, r-cran-geodata, r-cran-patchwork, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-surveyprev_1.0.0-1.ca2004.1_all.deb
Size: 5103808
MD5sum: e48ce205b770028420bddc7401c16890
SHA1: 096aee25ae058662a0615d36987d06aae53e15cf
SHA256: 6e42e2d56c181fd71d72fd0f47882f0cf3e99cf88dbf3a375e2c14112f017860
SHA512: 16348719ce27a3b2fec4ab55343f8642cbf92fa5e19d6e7d72c85a331388646a7a787f2d1e61b5a185ab0b238d8c2b605c168408f0eb39edd32fac35fe333af4
Homepage: https://cran.r-project.org/package=surveyPrev
Description: CRAN Package 'surveyPrev' (Mapping the Prevalence of Binary Indicators using Survey Data inSmall Areas)
 Provides a pipeline to perform small area estimation and prevalence mapping
 of binary indicators using health and demographic survey data, described in
 Fuglstad et al. (2022) <doi:10.48550/arXiv.2110.09576> and Wakefield et al.
 (2020) <doi:10.1111/insr.12400>.

Package: r-cran-surveysimr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-moments
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-surveysimr_0.1.0-1.ca2004.1_all.deb
Size: 37332
MD5sum: 5fa968dcd6872254b4b77e452039420e
SHA1: f83ab7f44ff482fa67cc5b7ba96fd52605c5dcb4
SHA256: 9a741b3b488d424b74bf9c708107a1e2ba17f8a398a1ccc7ea4834ed66b520bd
SHA512: 0d322e6400db3125e8ffb54f20c6a61d5f098e3e0912d4e363448330f23ab2264d5f4f116ce0b557a2adb11dc2ba761588a499221fe78708f8595474141fdc2c
Homepage: https://cran.r-project.org/package=surveySimR
Description: CRAN Package 'surveySimR' (Estimation of Population Total under Complex Sampling Design)
 Sample surveys use scientific methods to draw inferences about population
 parameters by observing a representative part of the population, called
 sample. The SRSWOR (Simple Random Sampling Without Replacement) is one of
 the most widely used probability sampling designs, wherein every unit has an
 equal chance of being selected and units are not repeated.This function
 draws multiple SRSWOR samples from a finite population and estimates the
 population parameter i.e. total of HT, Ratio, and Regression estimators.
 Repeated simulations (e.g., 500 times) are used to assess and compare
 estimators using metrics such as percent relative bias (%RB), percent
 relative root means square error (%RRMSE).For details on sampling
 methodology, see, Cochran (1977) "Sampling Techniques"
 <https://archive.org/details/samplingtechniqu0000coch_t4x6>.

Package: r-cran-surveytable
Architecture: all
Version: 0.9.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4969
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-assertthat, r-cran-magrittr, r-cran-glue, r-cran-survey, r-cran-huxtable
Suggests: r-cran-kableextra, r-cran-gt, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-surveytable_0.9.8-1.ca2004.1_all.deb
Size: 659472
MD5sum: e8d3b190a79d11809436b4e09f7ff86f
SHA1: c622a8e5c9eee8cbbe5254815d6f43c1838640df
SHA256: b88ce47f1cc271a93bb98a64d380540926f6e7c18203ab9963028a12c62c53ce
SHA512: 52ad66a78dbf73dc5dbc630bdbcd4a888127cfd8bb34310fc07750a5bf6d4fa22fc5be72312aa0474fce990a7fa3dd1960609d9c2782a001220cb3ec7f063ac8
Homepage: https://cran.r-project.org/package=surveytable
Description: CRAN Package 'surveytable' (Formatted Survey Estimates)
 Short and understandable commands that generate tabulated, formatted, and
 rounded survey estimates. Mostly a wrapper for the 'survey' package (Lumley
 (2004) <doi:10.18637/jss.v009.i08>
 <https://CRAN.R-project.org/package=survey>) that identifies low-precision
 estimates using the National Center for Health Statistics (NCHS)
 presentation standards (Parker et al. (2017)
 <https://www.cdc.gov/nchs/data/series/sr_02/sr02_175.pdf>, Parker et al.
 (2023) <doi:10.15620/cdc:124368>).

Package: r-cran-survhe
Architecture: all
Version: 2.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-flexsurv, r-cran-dplyr, r-cran-ggplot2, r-cran-rms, r-cran-xlsx, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rstan, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survhe_2.0.5-1.ca2004.1_all.deb
Size: 294360
MD5sum: 27ce5a21a1469300423e98d21652fac6
SHA1: 19b7df46c4d35f26018a604282e56aa7e67bde5a
SHA256: 328f2d8ab8ed3c59e608c8f2825d8e7a5437054085caa458fad9e10804b54c90
SHA512: 49b031077cce5eb09b9763fcd50d6b03d5b9868b7cc3e63e5662f8c00c04c6b0a2fc6fd1c3fdab532244b6fc497a417bb2ef4899a4ab0d662f6d4f5b8b6d55f5
Homepage: https://cran.r-project.org/package=survHE
Description: CRAN Package 'survHE' (Survival Analysis in Health Economic Evaluation)
 Contains a suite of functions for survival analysis in health economics.
 These can be used to run survival models under a frequentist (based on
 maximum likelihood) or a Bayesian approach (both based on Integrated Nested
 Laplace Approximation or Hamiltonian Monte Carlo). To run the Bayesian
 models, the user needs to install additional modules (packages), i.e.
 'survHEinla' and 'survHEhmc'. These can be installed from
 <https://giabaio.r-universe.dev/> using 'install.packages("survHEhmc", repos
 = c("https://giabaio.r-universe.dev", "https://cloud.r-project.org"))' and
 'install.packages("survHEinla", repos = c("https://giabaio.r-universe.dev",
 "https://cloud.r-project.org"))' respectively. 'survHEinla' is based on the
 package INLA, which is available for download at
 <https://inla.r-inla-download.org/R/stable/>. The user can specify a set of
 parametric models using a common notation and select the preferred mode of
 inference. The results can also be post-processed to produce probabilistic
 sensitivity analysis and can be used to export the output to an Excel file
 (e.g. for a Markov model, as often done by modellers and practitioners).
 <doi:10.18637/jss.v095.i14>.

Package: r-cran-survhidim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-rdpack, r-cran-readr, r-cran-tidyverse, r-cran-glmnet, r-cran-factoextra, r-cran-igraph, r-cran-useful
Filename: pool/dists/focal/main/r-cran-survhidim_0.1.1-1.ca2004.1_all.deb
Size: 445024
MD5sum: 456b83ba8ab0d987ce8f65dc27f59fb0
SHA1: 6de0c5a985634924b5b14fc362d418c3c2e9ddcf
SHA256: 2cd0247200c512f78e3240ea43a6819c7a6a8744f4abe5d8e028f540d19e6f81
SHA512: 5c5375022d78f7f8f1e95b3f115378d24a4b4691cdb4f150cc979e0aea774d4c36b06eff54dc4827a6de8d89c480546d43705caee0490e4267930303710266f2
Homepage: https://cran.r-project.org/package=SurvHiDim
Description: CRAN Package 'SurvHiDim' (High Dimensional Survival Data Analysis)
 High dimensional time to events data analysis with variable selection
 technique.  Currently support LASSO, clustering and Bonferroni's correction.

Package: r-cran-survimchd
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjags, r-cran-r2jags, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-survimchd_0.1.2-1.ca2004.1_all.deb
Size: 405656
MD5sum: f144d40568ec073f88087a2e30cef4cc
SHA1: e7892c099d52ecc763d76bbd692221ef6f3a4f1f
SHA256: a8777a1de1824e738ec76a9eeae41b45163a3b9e62434a4f614de361334a7a95
SHA512: 2a95365a9e98441742a2f22cbc95007742358456e68907016675fea7616da2b989fad5e747e663a26809da66b57badd268541935e361d3f985b6f84e0a44a1b0
Homepage: https://cran.r-project.org/package=SurviMChd
Description: CRAN Package 'SurviMChd' (High Dimensional Survival Data Analysis with Markov Chain MonteCarlo)
 High dimensional survival data analysis with Markov Chain Monte Carlo(MCMC).
 Currently supports frailty data analysis. Allows for Weibull and Exponential
 distribution. Includes function for interval censored data.

Package: r-cran-survimpute
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-vgam, r-cran-mass
Suggests: r-cran-mitools
Filename: pool/dists/focal/main/r-cran-survimpute_0.1.0-1.ca2004.1_all.deb
Size: 66336
MD5sum: f453b94427e240c547bc322f3685e3dd
SHA1: 36250752acefcea8ece3998438449375fa3294bd
SHA256: 9393c695c38d896207f6fa4bde390fd6355a737a64baac1bf0b5e067d0241e07
SHA512: 4e4d704757b671019c358e3e85e4779348a0baf6bc905b8106fc13029e47c27d894f929ed17301676722ec04cf02e88338e1b37948aced624ed7e4d4da0c5334
Homepage: https://cran.r-project.org/package=SurvImpute
Description: CRAN Package 'SurvImpute' (Multiple Imputation for Missing Covariates in Time-to-Event Data)
 Generates multiple imputed datasets from a substantive model compatible
 fully conditional specification model for time-to-event data. Our method
 assumes that the censoring process also depends on the covariates with
 missing values. Details will be available in an upcoming publication.

Package: r-cran-survival666
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2051
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-survminer, r-cran-ggplot2
Suggests: r-cran-tidyverse, r-cran-magrittr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survival666_0.5-1.ca2004.1_all.deb
Size: 2042448
MD5sum: bbb1b69518be4e681f57412ad9be697f
SHA1: aea5df942cc9f96a351cf437ec28bdd5fb481f53
SHA256: 4d6b799dd9ad2b1c4c8de5727ca1806d8f094c21ba0dec209688fe2ef2c32f21
SHA512: e09730b2509b6c2faf65cd27d4304b9b858434d060d1b5a84abd1f5400ddb30e17a57026c5ae2686ee51c55857f14cc19825beabb2df61688a066136b3f4316f
Homepage: https://cran.r-project.org/package=survival666
Description: CRAN Package 'survival666' (Eliminate the Influence of Co-Expression Genes on Target Genes)
 Functions can be used for batch survival analysis, but not only for it. Most
 importantly, it can verify any P-value calculated according to the gene
 expression level and eliminate the influence of co-expression genes.

Package: r-cran-survivalanalysis
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-rlang, r-cran-dplyr, r-cran-forcats, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-gridextra, r-cran-ggplot2, r-cran-scales, r-cran-survminer, r-cran-cowplot, r-cran-tidytidbits
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-survivalanalysis_0.4.0-1.ca2004.1_all.deb
Size: 389480
MD5sum: 70ff1b47469834dbcff2a7882cfadd83
SHA1: 749fb3e4a01e80cfaaf098a8361857a8de96a0d4
SHA256: ef7c9cb41e024a8f58fa64d79f263d60e7933c3b784c109bea0871af242647e6
SHA512: 80d58156213d2644017d2768cd0b03aca15a436d3a6805f5e28ec5514a09ead0f0cc3fd760272273a4b59aeff64f473aad201ebde450d3bf7780c84988babb55
Homepage: https://cran.r-project.org/package=survivalAnalysis
Description: CRAN Package 'survivalAnalysis' (High-Level Interface for Survival Analysis and Associated Plots)
 A high-level interface to perform survival analysis, including Kaplan-Meier
 analysis and log-rank tests and Cox regression.  Aims at providing a clear
 and elegant syntax, support for use in a pipeline, structured output and
 plotting.  Builds upon the 'survminer' package for Kaplan-Meier plots and
 provides a customizable implementation for forest plots.  Kaplan & Meier
 (1958) <doi:10.1080/01621459.1958.10501452> Cox (1972) Journal of the Royal
 Statistical Society. Series B (Methodological), Vol. 34, No. 2 (1972), pp.
 187-220 (34 pages) Peto & Peto (1972) <doi:10.2307/2344317>.

Package: r-cran-survivalmpl
Architecture: all
Version: 0.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-survivalmpl_0.2-4-1.ca2004.1_all.deb
Size: 143716
MD5sum: 7f7a5418b6b942669c7e29e98b231fb8
SHA1: 84835496cada7ec69fd8b07bbcb0f1b45f56f099
SHA256: 64eb54e92b592fe792bd8cd5d697cf0417d4c55009934f31b06246f0adec2a5a
SHA512: 3f94ef239d1506d4a8bb591614cdcbb8b0432a210c6b3084c652ee1f88e8052b39a1079babb90eea4a029c4015e1cbcf6fff286ff0a746fa841fbabec2179c9a
Homepage: https://cran.r-project.org/package=survivalMPL
Description: CRAN Package 'survivalMPL' (Penalised Maximum Likelihood for Survival Analysis Models)
 Estimate the regression coefficients and the baseline hazard of proportional
 hazard Cox models with left, right or interval censored survival data using
 maximum penalised likelihood. A 'non-parametric' smooth estimate of the
 baseline hazard function is provided.

Package: r-cran-survivalmpldc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 649
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-splines2, r-cran-survival, r-cran-matrixcalc
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survivalmpldc_0.1.1-1.ca2004.1_all.deb
Size: 423920
MD5sum: 96c6efa2807a8f420a1a0c6bb25db368
SHA1: c84060e3efb614c4ec2d8c8c169cc87e60907649
SHA256: c7ad0367c0d6fbf920901dc6bd23b333818e923ddb9e5b2ef373c55bfd4ce8b5
SHA512: f21d47d174c1e8bcbf9e593a1c26ea24d9060cd9b19377cc09d12949119ed503e09d6c57025aafc921986236e340dd5cf0f27e7394617fb3119771c1a2dcbaab
Homepage: https://cran.r-project.org/package=survivalMPLdc
Description: CRAN Package 'survivalMPLdc' (Penalised Likelihood for Survival Analysis with DependentCensoring)
 Fitting Cox proportional hazard model under dependent right censoring using
 copula and maximum penalised likelihood methods.

Package: r-cran-survivalpath
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-bioc-ggtree, r-bioc-treeio, r-cran-dplyr, r-cran-rms, r-cran-survival, r-cran-survminer, r-cran-survivalroc, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-survivalpath_1.3.2-1.ca2004.1_all.deb
Size: 247528
MD5sum: f1b265830f52661ecac48dd6096d57ae
SHA1: 106d073fcf3d9d02fd9e6b0aa0af70a0cdca959e
SHA256: 1549ec1c8a72768f9c50169e4a7d5b35b3dd9665b7f16f007634bfa739dc3aba
SHA512: 22997017597d4ee8ce32cd4dc5ad41fd154e5c3f9317890de1d0695eab04fcef05a8b893b0e379afcbff8cea99fe4de9b54a17438925ff7503c49f022331d241
Homepage: https://cran.r-project.org/package=SurvivalPath
Description: CRAN Package 'SurvivalPath' (Construction and Visualization of Survival Path Tree usingTime-Series Survival Data)
 Facilitates building personalized survival path models. The function
 survivalpath() return tree structure results, which can be used to draw
 easily beautiful and ready-to-publish survival path tree. See Shen L, et al
 (2018) <doi:10.1038/s41467-018-04633-7> .

Package: r-cran-survivalplann
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-survivalplann_0.1-1.ca2004.1_all.deb
Size: 52432
MD5sum: 0493bbba56945f4204f2408a4e7c23b8
SHA1: 84c37afb6d5e613efa9a83284482fa1f040c7b06
SHA256: 075fe493e1ad3b57d4803de0654fb9eb85ab0bcee03410c5b3af4230f8565645
SHA512: 92b6da56196c992b730507bf8d5f44651aa34d0fed7612c4bd97ac868ca1c927e2880af26bdcd5cff9dcf0566f3ce9dcada3ea6607ad80eac650ea8dc6238da6
Homepage: https://cran.r-project.org/package=survivalPLANN
Description: CRAN Package 'survivalPLANN' (Neural Networks to Predict Survival)
 Several functions and S3 methods to predict survival by using neural
 networks. We implemented Partial Logistic Artificial Neural Networks (PLANN)
 as proposed by Biganzoli et al. (1998)
 <https://pubmed.ncbi.nlm.nih.gov/9618776>.

Package: r-cran-survivalsl
Architecture: all
Version: 0.97.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-date, r-cran-mass, r-cran-glmnet, r-cran-caret, r-cran-flexsurv, r-cran-randomforestsrc, r-cran-hdnom, r-cran-glmnetutils, r-cran-survivalplann, r-cran-dplyr, r-cran-rpart
Suggests: r-cran-reticulate, r-cran-survivalmodels
Filename: pool/dists/focal/main/r-cran-survivalsl_0.97.1-1.ca2004.1_all.deb
Size: 413252
MD5sum: 8aa6838ef0c3544d926299284b0cba2a
SHA1: b3182861d446746659bc2600daac66ebdbf8ddf6
SHA256: 7aaa41b04c5e1a2a461fb27a5f2d3852b98b05cbfe27ed778f4c445c56fd8fbb
SHA512: 2946616766fa27976a8b83efbc3dc5698a6220ba16caf98f5be34e652ca7fa79513b7d1354de18805cfb78732748b4e13345384d6d6273784c9b518724a1589b
Homepage: https://cran.r-project.org/package=survivalSL
Description: CRAN Package 'survivalSL' (Super Learner for Survival Prediction from Censored Data)
 Several functions and S3 methods to construct a super learner in the
 presence of censored times-to-event and to evaluate its prognostic
 capacities.

Package: r-cran-survivalsurrogate
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-glue, r-cran-mlr3, r-cran-purrr, r-cran-sparsem, r-cran-rbeta2009, r-cran-data.table, r-cran-rpart
Suggests: r-cran-mlr3learners
Filename: pool/dists/focal/main/r-cran-survivalsurrogate_1.1-1.ca2004.1_all.deb
Size: 173036
MD5sum: 8694b929d40237a503074cd2943fee05
SHA1: 3ed5fb3c1eebaa6d718319f34a72caa309f9b653
SHA256: 74fb4c8129150b81a9075a28d3042bb3ac60164aa9a918504b0e8b51197af341
SHA512: ca7f5902534c9b2995815febcb8683ecb6e16a5120086116ab58f7d0761ced7f93cd16a3692eb74ab2d10134d28d0ea50cbca5d5b3786ea387df143b5d978cf5
Homepage: https://cran.r-project.org/package=survivalsurrogate
Description: CRAN Package 'survivalsurrogate' (Evaluate a Longitudinal Surrogate with a Censored Outcome)
 Provides influence function-based methods to evaluate a longitudinal
 surrogate marker in a censored time-to-event outcome setting, with plug-in
 and targeted maximum likelihood estimation options. Details are described
 in: Agniel D and Parast L (2025). "Robust Evaluation of Longitudinal
 Surrogate Markers with Censored Data." Journal of the Royal Statistical
 Society: Series B <doi:10.1093/jrsssb/qkae119>. A tutorial for this package
 can be found at <https://www.laylaparast.com/survivalsurrogate> and a Shiny
 App implementing the package can be found at
 <https://parastlab.shinyapps.io/survivalsurrogateApp/>.

Package: r-cran-survivalsvm
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-pracma, r-cran-kernlab, r-cran-matrix, r-cran-hmisc
Suggests: r-cran-testthat, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-survivalsvm_0.0.6-1.ca2004.1_all.deb
Size: 289068
MD5sum: 1087ed0628ecde28592978edf31940dc
SHA1: ee8df65c1260b2a97c5c39058f95b35c2d7f9cef
SHA256: e86371e3c4835e35de48d689071dffa4701c8b6363dd389fd9f1a238eb95c9a4
SHA512: 1b506b3b48ca97af6956570a5e3e41b71a730a4c39518beeeffa22f7f14ec6b6b99105cf2b2ec648351e3f095e2e0e538fdf3f400a26e03f1e76467dd7df9faf
Homepage: https://cran.r-project.org/package=survivalsvm
Description: CRAN Package 'survivalsvm' (Survival Support Vector Analysis)
 Performs support vectors analysis for data sets with survival outcome. Three
 approaches are available in the package: The regression approach takes
 censoring into account when formulating the inequality constraints of the
 support vector problem. In the ranking approach, the inequality constraints
 set the objective to maximize the concordance index for comparable pairs of
 observations. The hybrid approach combines the regression and ranking
 constraints in the same model.

Package: r-cran-survivaltests
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-weibullness, r-cran-ggplot2
Suggests: r-cran-survival, r-cran-arules
Filename: pool/dists/focal/main/r-cran-survivaltests_1.0-1.ca2004.1_all.deb
Size: 51540
MD5sum: 5c3a0c4e60e38ca2d69743b50792b25e
SHA1: 323684ef23d329b6d0a70abde7b474fa78dc9d90
SHA256: cd616ec38cca7df8015f3f16cf91decb215f2390e79f2cc8fe17b7331774b01a
SHA512: 8c8c566662cb7edb8b1618aa4b8e852e4b905fedd1371f87a58981af4685f7f05dedec3b1dddd7367c8274040315aea977d139f91c5f61b8e682d207a5aeac41
Homepage: https://cran.r-project.org/package=SurvivalTests
Description: CRAN Package 'SurvivalTests' (Survival Tests for One-Way Layout)
 Performs survival analysis for one-way layout. The package includes the
 generalized test for survival ANOVA (Tsui and Weerahandi (1989)
 <doi:10.2307/2289949> and (Weerahandi, 2004; ISBN:978-0471470175)). It also
 performs pairwise comparisons and graphical approaches. Moreover, it
 assesses the weibullness of data in each group via test. The package
 computes mean and confidence interval under Weibull distribution.

Package: r-cran-survivalvignettes
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1058
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-survey, r-cran-geepack, r-cran-mstate, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-survivalvignettes_0.1.6-1.ca2004.1_all.deb
Size: 545700
MD5sum: d003752cb9cc341dd57a95b2481bd17b
SHA1: 5293346350bb6a14ed0d034c5ba68a7888659c5a
SHA256: 11ca6ec41bd2527969ae1dbd9fec4d45d7e25f9f953475447455ec8c0a90ea18
SHA512: 466c7636cacbfb18139b9a2f8edc6c27cb623b6a7d4594c4c0cd48e153b8dfb25c013c142ccb16447a4fa15e3315737286236b645903762389b037a53576d96d
Homepage: https://cran.r-project.org/package=survivalVignettes
Description: CRAN Package 'survivalVignettes' (Survival Analysis Vignettes and Optional Datasets)
 Vignettes for the 'survival' package. Split from the 'survival' package
 since the vignettes were getting large. Also, since 'survival' is a
 recommended package it cannot make use of other packages outside of
 base+recommended (e.g. 'rmarkdown').

Package: r-cran-survivor
Architecture: all
Version: 2.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4263
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tidyr, r-cran-ggplot2, r-cran-stringr, r-cran-magrittr, r-cran-glue, r-cran-shiny, r-cran-purrr, r-cran-dplyr, r-cran-crayon, r-cran-readr, r-cran-shinycssloaders, r-cran-lubridate, r-cran-dt, r-cran-shinyjs
Suggests: r-cran-forcats, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survivor_2.3.6-1.ca2004.1_all.deb
Size: 3302192
MD5sum: 1363a2e9d5dc414c5f82ba1dd0b46104
SHA1: e6dd9c456c5f9f53e02047456ece1265b9f3c5b3
SHA256: 6d208a87883fa25c6e0d7966a1a151849ffdd648d09894c524348440ecbbfc0d
SHA512: 53c2c8e2c6df6145a4c29f03f95c4845674a612c9165ba0b3e24fdf28602b7dcc208b5af218e393f4cec57ad23bbd8edf53727e5a4aee5fd340f9dacfdbfef96
Homepage: https://cran.r-project.org/package=survivoR
Description: CRAN Package 'survivoR' (Data from all Seasons of Survivor (US) TV Series in Tidy Format)
 Datasets detailing the results, castaways, and events of each season of
 Survivor for the US, Australia, South Africa, New Zealand, and the UK. This
 includes details on the cast, voting history, immunity and reward
 challenges, jury votes, boot order, advantage details, and episode ratings.
 Use this for analysis of trends and statistics of the game.

Package: r-cran-survjamda.data
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12381
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-survjamda.data_1.0.2-1.ca2004.1_all.deb
Size: 12647240
MD5sum: 80437195a4f05b228db85a7ef05f87f5
SHA1: 44cd09a0acbb0073c65fca2a77e16a83deb8dd4e
SHA256: db49f038f6a37786f02b0286e4631e5576c9328bd65d48d03a2fb2a0d323861d
SHA512: f6d1fb335f178dfb9542213fa2405dc1014acc9011fb105737bd9af7d3d44cbdd9b5ce5878aa186d01e39972bbdcc38f1a8d1cdc26318b214c5a89262ae9cee5
Homepage: https://cran.r-project.org/package=survJamda.data
Description: CRAN Package 'survJamda.data' (Data for Package 'survJambda')
 Three breast cancer gene expression data sets that can be used for package
 'survJamda'. This package contains the gene expression and phenotype data of
 GSE1992, GSE3143 and GSE4335.

Package: r-cran-survjamda
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-survivalroc, r-cran-ecodist, r-bioc-survcomp, r-cran-survjamda.data
Filename: pool/dists/focal/main/r-cran-survjamda_1.1.4-1.ca2004.1_all.deb
Size: 418632
MD5sum: df6ffef5c1d4deacbac650042ddd1784
SHA1: ed0277f1aea9b3b29970baac6b93ce91e0c85cae
SHA256: 9f6e780cc65c5c18950f0b5bca76c2d3cf0e296729c4631c960253ef109d6a06
SHA512: 35e4cd5c6e52387525de62ca17adafff5804b7a2999c86ece108d36e333971b84f6b8a3873570eea9cbde3beeb346d86d4a5a546b58f2ce4b8683d19e587aca6
Homepage: https://cran.r-project.org/package=survJamda
Description: CRAN Package 'survJamda' (Survival Prediction by Joint Analysis of Microarray GeneExpression Data)
 Microarray gene expression data can be analyzed individually or jointly
 using merging methods or meta-analysis to predict patients' survival and
 risk assessment.

Package: r-cran-survlong
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-survlong_1.5-1.ca2004.1_all.deb
Size: 109496
MD5sum: a9789e4e3c0f7e6d5b51ce7959e9d22f
SHA1: 1b7718871181ac96db430710408fe3af622c3252
SHA256: 4b9b7222bdcffbf57e170716a7b58aa286e70d5f710105cc66f541392bb442c6
SHA512: fcff9bd77f1eb33d33f268785ff4262479dca8b5e7b5c2355a164ee8d8619fe34c8d98d786bcc420dd166a1df7e25890c96c953d503a53abee3d3e884618c7c3
Homepage: https://cran.r-project.org/package=SurvLong
Description: CRAN Package 'SurvLong' (Analysis of Proportional Hazards Model with Sparse LongitudinalCovariates)
 Provides kernel weighting methods for estimation of proportional hazards
 models with intermittently observed longitudinal covariates.  Cao H.,
 Churpek M. M., Zeng D., and Fine J. P. (2015)
 <doi:10.1080/01621459.2014.957289>.

Package: r-cran-survma
Architecture: all
Version: 1.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-maxlik, r-cran-pec, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-survma_1.6.8-1.ca2004.1_all.deb
Size: 81324
MD5sum: 5d418580f152eac7afd9f3cab943d8fc
SHA1: 793a62031c4e15b30a15ab9d68a3d377b8ee12e3
SHA256: f352e8bf13dc56c6d765463e67f506eba49b1e1fa03cd470906a81a344033bfd
SHA512: 1137d7b16589184ccb1d099e4e0822f6a2a488d98c615d808a793ee9e14cc296f52bafbd983bce112169acd583efd015c8a9facb13332c1e862f47f021ad0b4e
Homepage: https://cran.r-project.org/package=SurvMA
Description: CRAN Package 'SurvMA' (Model Averaging Prediction of Personalized SurvivalProbabilities)
 Provide model averaging-based approaches that can be used to predict
 personalized survival probabilities. The key underlying idea is to
 approximate the conditional survival function using a weighted average of
 multiple candidate models. Two scenarios of candidate models are allowed:
 (Scenario 1) partial linear Cox model and (Scenario 2) time-varying
 coefficient Cox model. A reference of the underlying methods is Li and Wang
 (2023) <doi:10.1016/j.csda.2023.107759>.

Package: r-cran-survmetrics
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 201
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survminer, r-cran-survival, r-cran-mass, r-cran-pec
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-caret, r-cran-ggplot2, r-cran-ggpubr, r-cran-randomforestsrc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survmetrics_0.5.1-1.ca2004.1_all.deb
Size: 97888
MD5sum: 322d3f6a62a677fc4ed5f17417033499
SHA1: bd89cd30435ff728c0f3986111f3c5ea736bc3f1
SHA256: c456cd89ddba5494351e9523d7b4165acda6e06df2051685085a7a6bc090d59d
SHA512: 50d3e44b5966857e7a3b705744b56d7187584740a2cedabf597ef217df0d82c251d8ce3ac93cb23e867bdbf2abf5a8ce6913992f79e3679237f37f11893556f4
Homepage: https://cran.r-project.org/package=SurvMetrics
Description: CRAN Package 'SurvMetrics' (Predictive Evaluation Metrics in Survival Analysis)
 An implementation of popular evaluation metrics that are commonly used in
 survival prediction including Concordance Index, Brier Score, Integrated
 Brier Score, Integrated Square Error, Integrated Absolute Error and Mean
 Absolute Error.  For a detailed information, see (Ishwaran H, Kogalur UB,
 Blackstone EH and Lauer MS (2008) <doi:10.1214/08-AOAS169>) , (Moradian H,
 Larocque D and Bellavance F (2017) <doi:10.1007/s10985-016-9372-1>), (Hanpu
 Zhou, Hong Wang, Sizheng Wang and Yi Zou (2023) <doi:10.32614/rj-2023-009>)
 for different evaluation metrics.

Package: r-cran-survmi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-survmi_0.1.0-1.ca2004.1_all.deb
Size: 96312
MD5sum: 94a316bdbada70cec1a12b5ebc6b5ca3
SHA1: 2a003c9f0bcd7ba1f15214b711e814b9a723b4ee
SHA256: 2eb8422713fad24b7f33b776a54c8b52b97dfa2c7c1928b86355410f4e42dce0
SHA512: 85e41b9b83a147c4eea05699e835b2e4097b9c206d8ab96488d4b3cc40a399c6b4e06077ff2c437377fea32fc3e60c83c97148fc4111740f2ecdabc67746f00a
Homepage: https://cran.r-project.org/package=SurvMI
Description: CRAN Package 'SurvMI' (Multiple Imputation Method in Survival Analysis)
 In clinical trials, endpoints are sometimes evaluated with uncertainty.
 Adjudication is commonly adopted to ensure the study integrity. We propose
 to use multiple imputation (MI) introduced by Robin (1987)
 <doi:10.1002/9780470316696> to incorporate these uncertainties if reasonable
 event probabilities were provided. The method has been applied to Cox
 Proportional Hazard (PH) model, Kaplan-Meier (KM) estimation and Log-rank
 test in this package. Moreover, weighted estimations discussed in Cook
 (2004) <doi:10.1016/S0197-2456(00)00053-2> were also implemented with
 weights calculated from event probabilities. In conclusion, this package can
 handle time-to-event analysis if events presented with uncertainty by
 different methods.

Package: r-cran-survminer
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4867
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpubr, r-cran-gridextra, r-cran-magrittr, r-cran-maxstat, r-cran-scales, r-cran-survival, r-cran-broom, r-cran-dplyr, r-cran-tidyr, r-cran-survmisc, r-cran-purrr, r-cran-tibble, r-cran-rlang, r-cran-ggtext
Suggests: r-cran-knitr, r-cran-flexsurv, r-cran-cmprsk, r-cran-markdown, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survminer_0.5.0-1.ca2004.1_all.deb
Size: 1655028
MD5sum: b16521bfa8aa862c57a34ef3a119a11d
SHA1: 350690f2df8fcaf517e32715b30cc79910b65d2e
SHA256: 96e2190c1b725e6f48ee302577220029d8acdf9aa52f35ec4373084939d978da
SHA512: 990271864222931464d0f8b165b77e5c5beb8a340a6dbf5aa78a470c9901302be8ca60e42a2609b6507e9eab7396f1cc2b6ef818d658a2d21e6164fc460ff78e
Homepage: https://cran.r-project.org/package=survminer
Description: CRAN Package 'survminer' (Drawing Survival Curves using 'ggplot2')
 Contains the function 'ggsurvplot()' for drawing easily beautiful and
 'ready-to-publish' survival curves with the 'number at risk' table and
 'censoring count plot'. Other functions are also available to plot adjusted
 curves for `Cox` model and to visually examine 'Cox' model assumptions.

Package: r-cran-survmisc
Architecture: all
Version: 0.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-knitr, r-cran-kmsurv, r-cran-ggplot2, r-cran-data.table, r-cran-zoo, r-cran-gridextra, r-cran-km.ci, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-survmisc_0.5.6-1.ca2004.1_all.deb
Size: 335688
MD5sum: b30ff41bfa39ab2346c26a4ad9c9c950
SHA1: a50f5d1ad82a033c1db8c8c38111a1b66ff3f83c
SHA256: ce7ea6a345e4f39f0f3e2a8990bc3f8386bf5f38e4a7c1ad0e2595f25fec1191
SHA512: 2d1a46498c7bbe9e6dac75df8ad6519d52440b0edf4c4f13db002cfd796acdf705477a39f77090899ef1b99caa76da669a5524ba7d23d6b467783fb25085f07b
Homepage: https://cran.r-project.org/package=survMisc
Description: CRAN Package 'survMisc' (Miscellaneous Functions for Survival Data)
 A collection of functions to help in the analysis of right-censored survival
 data. These extend the methods available in package:survival.

Package: r-cran-survmixer
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-survmixer_1.3-1.ca2004.1_all.deb
Size: 45556
MD5sum: 0c5499d587f7a2ca4fdf97627957ab35
SHA1: d0710e75e0f3f8a08d296251501b02841f0300b0
SHA256: b41313a44a83b65a72ec510b1359f2924a45e715b9ddd6cf52a026acf8bf8906
SHA512: 6501ef9f61e56d2a6478fdc653694f588436fd80d721e7844547fbc59e84198284ea6d0bd4cba89ef776cdbd199f7d4409e5eee6eeedfc2265e0aa7461d940fe
Homepage: https://cran.r-project.org/package=survmixer
Description: CRAN Package 'survmixer' (Design of Clinical Trials with Survival Endpoints Based onBinary Responses)
 Sample size and effect size calculations for survival endpoints based on
 mixture survival-by-response model. The methods implemented can be found in
 Bofill, Shen & Gómez (2021) <arXiv:2008.12887>.

Package: r-cran-survml
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-superlearner, r-cran-iso, r-cran-haldensify, r-cran-fdrtool, r-cran-chernoffdist, r-cran-dplyr, r-cran-gtools, r-cran-mboost, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-gam
Filename: pool/dists/focal/main/r-cran-survml_1.2.0-1.ca2004.1_all.deb
Size: 604008
MD5sum: 0aee1e9bbae3417cee921f82d0613483
SHA1: 4f1b7106073f90efd9e3b016b381096729c7b1e4
SHA256: 375e061d9ff5d031ad4519122c97a6e4ba666105800fec5abe174736cd0ef27c
SHA512: 9b1313d3118d9d0434c5f3efabfb3a15500def740da341499ee50c1c4b90cf8150b2d687e7260ee341f36338d4d2cb04119c5579dc130a757a7827ddf185abae
Homepage: https://cran.r-project.org/package=survML
Description: CRAN Package 'survML' (Tools for Flexible Survival Analysis Using Machine Learning)
 Statistical tools for analyzing time-to-event data using machine learning.
 Implements survival stacking for conditional survival estimation,
 standardized survival function estimation for current status data, and
 methods for algorithm-agnostic variable importance. See Wolock CJ, Gilbert
 PB, Simon N, and Carone M (2024) <doi:10.1080/10618600.2024.2304070>.

Package: r-cran-survms
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survms_0.0.1-1.ca2004.1_all.deb
Size: 537168
MD5sum: 6ecff01a78fd4ee92e1994fc39d5de6a
SHA1: fa568466887ebd829760096fe0bc7ece3724baa5
SHA256: 24e779a9a0cffd8faebe53e9c39a6b7cdc741aa66551fb165ac40c82c372f53c
SHA512: bb3c22605a31b29b731e07a6a15dd15eab712009cf13ce5cb06e9c4f2c79e2ae8321c20d604f35b4457019860bf603790c4eb8c4f0f5a07841cfd9816dbd4fff
Homepage: https://cran.r-project.org/package=survMS
Description: CRAN Package 'survMS' (Survival Model Simulation)
 Package enables the data simulation from different survival models (Cox,
 AFT, and AH models). The simulated data will have various levels of
 complexity according to the survival model considered. The implemented
 methods for the Cox model are described in Ralf Bender, Thomas Augustin,
 Maria Blettner (2004) <doi:10.1002/sim.2059>.

Package: r-cran-survnma
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-netmeta
Filename: pool/dists/focal/main/r-cran-survnma_1.1-1-1.ca2004.1_all.deb
Size: 31588
MD5sum: 974c92f99d8a51c707cb45a48dd5ce17
SHA1: b0b5a27a59dc4c2b8a59d850f11b409fec5a30d6
SHA256: d09fbfe2014cc28005e2171f69ffda84d593b481e2a0cedf5544861c3bd00202
SHA512: 8c7648f602980603038483db58a2b498e46492c0520e5907e6d714601dbb1bdcef8201e6907c8f07a975c155ec3390955cd1af834440e119fd2d0b4439f089a5
Homepage: https://cran.r-project.org/package=survNMA
Description: CRAN Package 'survNMA' (Network Meta-Analysis Combining Survival and Count Outcomes)
 Network meta-analysis for survival outcome data often involves several
 studies only involve dichotomized outcomes (e.g., the numbers of event and
 sample sizes of individual arms).  To combine these different outcome data,
 Woods et al. (2010) <doi:10.1186/1471-2288-10-54> proposed a Bayesian
 approach using complicated hierarchical models. Besides, frequentist
 approaches have been alternative standard methods for the statistical
 analyses of network meta-analysis, and the methodology has been well
 established. We proposed an easy-to-implement method for the network
 meta-analysis based on the frequentist framework in Noma and Maruo (2025)
 <doi:10.1101/2025.01.23.25321051>. This package involves some convenient
 functions to implement the simple synthesis method.

Package: r-cran-survobj
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 967
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survobj_3.1.1-1.ca2004.1_all.deb
Size: 612452
MD5sum: bcbb8fa5a9004f13994cea497366b66d
SHA1: 2afa443f07f8d06accdf82161f1534b6a60bf7cf
SHA256: e998d6b71938f45d691683702397fd3aa6d1d97ba8f02f9589345add3a0f8331
SHA512: 5422d06a621eb49fe57335466ca993503d4daceda3c141fd85e2da1e6a3a6cb08e2b50dfc2f70c8cb1bfd818d303678194c35efdc619a9fbfc509ceb9fe2634f
Homepage: https://cran.r-project.org/package=survobj
Description: CRAN Package 'survobj' (Objects to Simulate Survival Times)
 Generate objects that simulate survival times. Random values for the
 distributions are generated using the method described by Bender (2003)
 <https://epub.ub.uni-muenchen.de/id/eprint/1716> and Leemis (1987) in
 Operations Research, 35(6), 892–894.

Package: r-cran-survout
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cmprsk, r-cran-dplyr, r-cran-openxlsx, r-cran-survival, r-cran-tibble
Suggests: r-cran-covr, r-cran-mass, r-cran-reshape2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survout_0.1.0-1.ca2004.1_all.deb
Size: 65068
MD5sum: 996149d97db4f3e688eaee340b1d8b24
SHA1: c3498e06315b395d9dd23479bca6a842fd6e334f
SHA256: 306c945367038b36ce850967b93379f30f1d2537b4e9bd3452f41aa628f45a2b
SHA512: 842ae859b71201fade861b77f4ea05959a8502d8fdb124d1345654719f2854bb14876d15a6f56e89cbaf780d1adfbaf206ca034336b0e05f924e62ab89799ade
Homepage: https://cran.r-project.org/package=survout
Description: CRAN Package 'survout' (Excel Conversion of R Surival Analysis Output)
 Simple and quick method of exporting the most often used survival analysis
 results to an Excel sheet.

Package: r-cran-survparamsim
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-eha, r-cran-forcats, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-mvtnorm, r-cran-purrr, r-cran-rlang, r-cran-survival, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-survminer, r-cran-testthat, r-cran-vdiffr, r-cran-withr, r-cran-flexsurv
Filename: pool/dists/focal/main/r-cran-survparamsim_0.1.7-1.ca2004.1_all.deb
Size: 342972
MD5sum: 78e1ee7d53b66901819ba20d96d3a7e0
SHA1: 0badb42c8fbf281da7b59c31520b08095873db1a
SHA256: 512aeef6fd757b6d41b732254729403baf5923357733e907f6124e137fd3bf15
SHA512: 644489ffc752c652eabb1b52b5bd5f4339abb07ba5346026b71a8e8e781daf604ef4d855d85156fabf02722636707f59b78204f68d164cb333eba5f58d85bf00
Homepage: https://cran.r-project.org/package=survParamSim
Description: CRAN Package 'survParamSim' (Parametric Survival Simulation with Parameter Uncertainty)
 Perform survival simulation with parametric survival model generated from
 'survreg' function in 'survival' package.  In each simulation coefficients
 are resampled from variance-covariance matrix of parameter estimates to
 capture uncertainty in model parameters.  Prediction intervals of
 Kaplan-Meier estimates and hazard ratio of treatment effect can be further
 calculated using simulated survival data.

Package: r-cran-survregcenscov
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-survregcenscov_1.7-1.ca2004.1_all.deb
Size: 377748
MD5sum: 3969bfe56d2a774b6dc57052fe998d33
SHA1: b43a38c5ebaf9e4b7f27ce011ed0e460044709e1
SHA256: 3c5caa977c9673455f8afcbdb4fa2c7ffc85b892db3304dabb5ca52681457f4a
SHA512: 778f1b2809214364878b09cc0f92ee57162cb94c12e2b5c2f4fdd9856c73681a64c874294fb36f9fc9140ba016460ddfbe07cdbffc463966715d615edf8ed634
Homepage: https://cran.r-project.org/package=SurvRegCensCov
Description: CRAN Package 'SurvRegCensCov' (Weibull Regression for a Right-Censored Endpoint withInterval-Censored Covariate)
 The function SurvRegCens() of this package allows estimation of a Weibull
 Regression for a right-censored endpoint, one interval-censored covariate,
 and an arbitrary number of non-censored covariates. Additional functions
 allow to switch between different parametrizations of Weibull regression
 used by different R functions, inference for the mean difference of two
 arbitrarily censored Normal samples, and estimation of canonical parameters
 from censored samples for several distributional assumptions. Hubeaux, S.
 and Rufibach, K. (2014) <arXiv:1402.0432>.

Package: r-cran-survregvb
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bayestestr, r-cran-invgamma
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survregvb_0.0.2-1.ca2004.1_all.deb
Size: 135944
MD5sum: a5e2305b5bb2b4daf2320954e78ad619
SHA1: d7c7fdd941ac93fa41d2debaf1e30379e36719b2
SHA256: a226ca6619ee914202ea8b166b21f3eda27326115206ac19a6f2e58a7229f5cd
SHA512: 81ee89beb2a1042bfbc88fa7f7e29b54d2476df1cca3c4ada4012781b6fe98d961a08cb603357536489dfd9909fa89151dca3cc98ab653878a5144e2cece0122
Homepage: https://cran.r-project.org/package=survregVB
Description: CRAN Package 'survregVB' (Variational Bayesian Analysis of Survival Data)
 Implements Bayesian inference in accelerated failure time (AFT) models for
 right-censored survival times assuming a log-logistic distribution. Details
 of the variational Bayes algorithms, with and without shared frailty, are
 described in Xian et al. (2024) <doi:10.1007/s11222-023-10365-6> and Xian et
 al. (2024) <doi:10.48550/arXiv.2408.00177>, respectively.

Package: r-cran-survrm2
Architecture: all
Version: 1.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survrm2_1.0-4-1.ca2004.1_all.deb
Size: 175608
MD5sum: 547fece050cf03f815a8c1f9fa645aac
SHA1: 04832d0d15fd7db49d01c6474d1b3d07903f964a
SHA256: 51fcab38bd847d9cd2c60000f13a4c64a6f5d2b9cc68cb00a18b9086d5e5297e
SHA512: 06597dd206f736baf1c379a22935fde0e3b8704d9ace88972fee47ce196125db6e1d596ee6103db94160034a64c1058f575232a14a41be54c7a3cc36c6277d55
Homepage: https://cran.r-project.org/package=survRM2
Description: CRAN Package 'survRM2' (Comparing Restricted Mean Survival Time)
 Performs two-sample comparisons using the restricted mean survival time
 (RMST) as a summary measure of the survival time distribution. Three kinds
 of between-group contrast metrics (i.e., the difference in RMST, the ratio
 of RMST and the ratio of the restricted mean time lost (RMTL)) are computed.
 It performs an ANCOVA-type covariate adjustment as well as unadjusted
 analyses for those measures.

Package: r-cran-survrm2adapt
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survrm2adapt_1.1.0-1.ca2004.1_all.deb
Size: 98268
MD5sum: db211c4e4f65f9bd390ff31be228a6a0
SHA1: 56f4e4c2acb37958b546a7b3c657f8ecfbdbcf95
SHA256: 2560449164f2b383626ffeebcdee7402f8bf0044bab0a3153cdfe11b59fed8a7
SHA512: 31237c59dc891194004c9a9d089637056ef2c710f53b503faff39b49c785eb7085ee0c3c84596748b82d2938f495e2a4bb74beb246b546c857e5ff4768c2d921
Homepage: https://cran.r-project.org/package=survRM2adapt
Description: CRAN Package 'survRM2adapt' (Flexible and Coherent Test/Estimation Procedure Based onRestricted Mean Survival Times)
 Estimates the restricted mean survival time (RMST) with the time window [0,
 tau], where tau is adaptively selected from the procedure, proposed by
 Horiguchi et al. (2018) <doi:10.1002/sim.7661>. It also estimates the RMST
 with the time window [tau1, tau2], where tau1 is adaptively selected from
 the procedure, proposed by Horiguchi et al. (2023) <doi:10.1002/sim.9662>.

Package: r-cran-survrm2perm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survrm2perm_0.1.0-1.ca2004.1_all.deb
Size: 51876
MD5sum: dda2c4e1a1802194289ae5bc08117841
SHA1: cdcf4b4025af7c2e493c163a1aad58ec6d4e1185
SHA256: 5d74937e585b81c2319a2b7517db758c4ec7199af03aebf0ee9553eae2c1998c
SHA512: b1cbac7869f54ee660f4970fe294e407d2716da70cbd624cd38a1529cb725b224f0021620c6a9fbe3f600990b1a1b8ead497314ff73ad3e8168be2021b762096
Homepage: https://cran.r-project.org/package=survRM2perm
Description: CRAN Package 'survRM2perm' (Permutation Test for Comparing Restricted Mean Survival Time)
 Performs the permutation test using difference in the restricted mean
 survival time (RMST) between groups as a summary measure of the survival
 time distribution. When the sample size is less than 50 per group, it has
 been shown that there is non-negligible inflation of the type I error rate
 in the commonly used asymptotic test for the RMST comparison. Generally,
 permutation tests can be useful in such a situation. However, when we apply
 the permutation test for the RMST comparison, particularly in small sample
 situations, there are some cases where the survival function in either group
 cannot be defined due to censoring in the permutation process. Horiguchi and
 Uno (2020) <doi:10.1002/sim.8565> have examined six workable solutions to
 handle this numerical issue. It performs permutation tests with
 implementation of the six methods outlined in the paper when the numerical
 issue arises during the permutation process. The result of the asymptotic
 test is also provided for a reference.

Package: r-cran-survsakk
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1010
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-survsakk_1.3.2-1.ca2004.1_all.deb
Size: 648324
MD5sum: 2e8576df3523d120418d3f4021b19a65
SHA1: 38c8509eb0b585fc352373d5f1f2b020796474ee
SHA256: 3ed53250328aef52e82fc8f7f807fe93c37f02d63c0c1e3c9b4e3fdfa355920d
SHA512: 1c0ce452df44288244657e921221f244c84f49e169dd59339dcd6ed8202c11cd2e62d5d6458bb060fabf422dec9f6c8e8df20e5034347197f9ccd4c480e411cc
Homepage: https://cran.r-project.org/package=survSAKK
Description: CRAN Package 'survSAKK' (Create Publication Ready Kaplan-Meier Plots)
 Incorporate various statistics and layout customization options to enhance
 the efficiency and adaptability of the Kaplan-Meier plots.

Package: r-cran-survsens
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-interp, r-cran-metr, r-cran-reshape2, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survsens_1.1.0-1.ca2004.1_all.deb
Size: 125104
MD5sum: 6392096bfd444a85eee352bdb6614d45
SHA1: 07f2d5ef5f6fada4a04136fd3fe801ca05437b15
SHA256: 6d9543b0874d4493c939fba14389c4cf09f44f53371047685bc33a66ff26a931
SHA512: ca64c0e719e8da7101847565a5058491a866953cbe0dd6d5f85bf55c87cbfc335cbb5c0454dce49db56d6fec96994e7c16096fd3f625a62cbd50d503de85227a
Homepage: https://cran.r-project.org/package=survSens
Description: CRAN Package 'survSens' (Sensitivity Analysis with Time-to-Event Outcomes)
 Performs a dual-parameter sensitivity analysis of treatment effect to
 unmeasured confounding in observational studies with either survival or
 competing risks outcomes. Huang, R., Xu, R. and Dulai, P.S.(2020)
 <doi:10.1002/sim.8672>.

Package: r-cran-survsim
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-eha, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-survsim_1.1.8-1.ca2004.1_all.deb
Size: 124584
MD5sum: 7349174349e8fb32b6613facc36f6127
SHA1: 6e3e880dfee479aca862e86a635f1f2035aa1b5f
SHA256: cdcf572d8dd13d1cc2cdd039255ee5a4b86a7c4da93ee855c355ad6c1f9ed5c5
SHA512: bfa09c0b9070e2bc2d785b1084b4033c8520608e1369569d41934d04eb9f528b1d618cb161c72079dace953469da4d88eadd40ace8a5d85bbd34c4b15bf01af3
Homepage: https://cran.r-project.org/package=survsim
Description: CRAN Package 'survsim' (Simulation of Simple and Complex Survival Data)
 Simulation of simple and complex survival data including recurrent and
 multiple events and competing risks. See Moriña D, Navarro A. (2014)
 <doi:10.18637/jss.v059.i02> and Moriña D, Navarro A. (2017)
 <doi:10.1080/03610918.2016.1175621>.

Package: r-cran-survsparse
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-mass, r-cran-nloptr, r-cran-nleqslv, r-cran-tibble, r-cran-foreach, r-cran-gaussquad, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-survsparse_0.1-1.ca2004.1_all.deb
Size: 63528
MD5sum: ff8ed1f586def9fd1bd32c1496a08d19
SHA1: 9abdb35c3ce0525dc1354fd8b1a4f616212cedca
SHA256: b872aaad95101717b032602e2206dbd7e1406665e1df5de6a532c77dcb417826
SHA512: 27d5e290db4f93575284f1d15900468d5bbc7f9083c3e2c348fbd7f6c7a72c04c443db8f38e5620eb2e56fd2d67d2084f6c3d33cc1955193c0c3d843a2b075fd
Homepage: https://cran.r-project.org/package=SurvSparse
Description: CRAN Package 'SurvSparse' (Survival Analysis with Sparse Longitudinal Covariates)
 Survival analysis with sparse longitudinal covariates under right censoring
 scheme. Different hazards models are involved. Please cite the manuscripts
 corresponding to this package: Sun, Z. et al. (2022)
 <doi:10.1007/s10985-022-09548-6>, Sun, Z. and Cao, H. (2023)
 <arXiv:2310.15877> and Sun, D. et al. (2023) <arXiv:2308.15549>.

Package: r-cran-survspearman
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 496
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-survspearman_1.0.1-1.ca2004.1_all.deb
Size: 317880
MD5sum: 8d034ede294e5cd740af2c09c0d69b78
SHA1: 74ec1a0a4c44a199cdfd92cdd833c974096e09aa
SHA256: 9aaee14284d6b364d25c472984823b5392763adb96869cd7979d3411c5ebe30a
SHA512: d3e3db382519f4f2277571125384b9bfced0165cc8fdd80b5f6fcf8b12e6807ebe45b775f079cef390d0b3af117725bdbfd6f9eb61f78647f656ec39f755dd3a
Homepage: https://cran.r-project.org/package=survSpearman
Description: CRAN Package 'survSpearman' (Nonparametric Spearman's Correlation for Survival Data)
 Nonparametric estimation of Spearman's rank correlation with bivariate
 survival (right-censored) data as described in Eden, S.K., Li, C., Shepherd
 B.E. (2021), Nonparametric Estimation of Spearman's Rank Correlation with
 Bivariate Survival Data, Biometrics (under revision). The package also
 provides functions that visualize bivariate survival data and bivariate
 probability mass function.

Package: r-cran-survtmle
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3764
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-speedglm, r-cran-superlearner, r-cran-plyr, r-cran-dplyr, r-cran-tidyr, r-cran-stringr, r-cran-ggplot2, r-cran-ggsci
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-cmprsk, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-survtmle_1.1.1-1.ca2004.1_all.deb
Size: 3610008
MD5sum: 5c93fe6cc4d352677f0cd2a8db9124c6
SHA1: ed43070b597404fc3ccd5df8676fef4a27b84621
SHA256: 8b9bc16f30bceff34d6dd994fe2ab5fa8a9e2bcc939d174d8939d849c32ccd15
SHA512: 740f2296c81beffb3f4bb2de35c292861c0e9bf93eca0c37955b1200528cce03decce4a62e717c3bc73ba02110bf2b163df175f4a7756d4bda5971ca8a149dbd
Homepage: https://cran.r-project.org/package=survtmle
Description: CRAN Package 'survtmle' (Compute Targeted Minimum Loss-Based Estimates in Right-CensoredSurvival Settings)
 Targeted estimates of marginal cumulative incidence in survival settings
 with and without competing risks, including estimators that respect bounds
 (Benkeser, Carone, and Gilbert. Statistics in Medicine, 2017.
 <doi:10.1002/sim.7337>).

Package: r-cran-survtrunc
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-survtrunc_0.2.0-1.ca2004.1_all.deb
Size: 76436
MD5sum: 2c6e30be86595d8fef44fd5ed9bba29f
SHA1: cc80a438d41bb8ed186f62286d80b0375ab48a82
SHA256: 0dc4e308516230d1cb32f6a00c2bad73fd208944fdcc994cf84f491ce7954ee0
SHA512: 53af33d507e475c8028e2e0bbafc4df4da0c6669f5cfa4ada5e6b3f0de48309f48bb7b444faf938b9024c0d52188afa15dad61bef77912a2043466e65339d2df
Homepage: https://cran.r-project.org/package=SurvTrunc
Description: CRAN Package 'SurvTrunc' (Analysis of Doubly Truncated Data)
 Package performs Cox regression and survival distribution function
 estimation when the survival times are subject to double truncation. In case
 that the survival and truncation times are quasi-independent, the estimation
 procedure for each method involves inverse probability weighting, where the
 weights correspond to the inverse of the selection probabilities and are
 estimated using the survival times and truncation times only. A test for
 checking this independence assumption is also included in this package. The
 functions available in this package for Cox regression, survival
 distribution function estimation, and testing independence under double
 truncation are based on the following methods, respectively: Rennert and Xie
 (2018) <doi:10.1111/biom.12809>, Shen (2010)
 <doi:10.1007/s10463-008-0192-2>, Martin and Betensky (2005)
 <doi:10.1198/016214504000001538>. When the survival times are dependent on
 at least one of the truncation times, an EM algorithm is employed to obtain
 point estimates for the regression coefficients. The standard errors are
 calculated using the bootstrap method. See Rennert and Xie (2022)
 <doi:10.1111/biom.13451>. Both the independent and dependent cases assume no
 censoring is present in the data. Please contact Lior Rennert
 <liorr@clemson.edu> for questions regarding function coxDT and Yidan Shi
 <yidan.shi@pennmedicine.upenn.edu> for questions regarding function
 coxDTdep.

Package: r-cran-susenas
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1268
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-susenas_0.1.0-1.ca2004.1_all.deb
Size: 1200540
MD5sum: e2231271b27a08da2c011c66006424a6
SHA1: d0e64c5f9a135a5130625f19bc9a26c52ec59241
SHA256: cbce217d51e1d0395d8a2dd3fbf28f5aa66c5cda42eefd087d9f28f841e48fe7
SHA512: 243ea26c261b318a9ecfbc00b4720da1b31877794e46439243ac947625a7ef7833ab3b26e79a739fa13705abfe19afa5421a3ac1d2857cb8ed964c1b70a532fe
Homepage: https://cran.r-project.org/package=SUSENAS
Description: CRAN Package 'SUSENAS' (National Socio-Economic Survey Data Collection Indonesia)
 Survey to collect data about the social and economic conditions of
 Indonesian society. This activity aims to include: As a data source for
 planning and evaluating national, sectoral development programs, and
 providing indicators for Sustainable Development Goals (TPB), National
 Medium Term Development Plan (RPJMN), and Nawacita, GDP/GRDP and annual
 Integrated Institutional Balance Sheet.

Package: r-cran-susier
Architecture: all
Version: 0.14.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2704
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-matrixstats, r-cran-mixsqp, r-cran-reshape, r-cran-crayon, r-cran-ggplot2
Suggests: r-cran-curl, r-cran-testthat, r-cran-microbenchmark, r-cran-knitr, r-cran-rmarkdown, r-cran-rfast, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-susier_0.14.2-1.ca2004.1_all.deb
Size: 2020252
MD5sum: e4f502eb51b7ba55ce6c182aec31a666
SHA1: 14825cb3efa7aa4620bdbd4967153bc25ab0608a
SHA256: a4a1103cedf3ac8adf4fc46106fa9d5dcfb873a139d14c1bfe06a399a19b6914
SHA512: 1777e236c642edc0c94c4a7dcc04f3471c05b382bff49f8501c3d78a509c231275108fc619d97e1fe7cef70fd2a0d503a9551326b1029c2db3f48b138fee41c2
Homepage: https://cran.r-project.org/package=susieR
Description: CRAN Package 'susieR' (Sum of Single Effects Linear Regression)
 Implements methods for variable selection in linear regression based on the
 "Sum of Single Effects" (SuSiE) model, as described in Wang et al (2020)
 <DOI:10.1101/501114> and Zou et al (2021) <DOI:10.1101/2021.11.03.467167>.
 These methods provide simple summaries, called "Credible Sets", for
 accurately quantifying uncertainty in which variables should be selected.
 The methods are motivated by genetic fine-mapping applications, and are
 particularly well-suited to settings where variables are highly correlated
 and detectable effects are sparse. The fitting algorithm, a Bayesian
 analogue of stepwise selection methods called "Iterative Bayesian Stepwise
 Selection" (IBSS), is simple and fast, allowing the SuSiE model be fit to
 large data sets (thousands of samples and hundreds of thousands of
 variables).

Package: r-cran-susographql
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-curl, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-readr, r-cran-stringr, r-cran-data.table, r-cran-withr, r-cran-cli, r-cran-rlang, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-susographql_0.1.6-1.ca2004.1_all.deb
Size: 166728
MD5sum: cff9bb75a47c2e879f9eff48d2db3e47
SHA1: 9cd86f33b3e0982aed43aad1abbc8852fbc41e5c
SHA256: ff63abfcbc248830792400a5ccc3639c5ca56b581aaa6475d87e2293eccfff55
SHA512: ffb6736fb48a948d6582cfcb6a74895a06cc5274d630e7d3f2a0b44481f4a215f1fb3d51abaa38f5ab6c9acd3239de0763058b552fd85d3396a63eef9407fb2d
Homepage: https://cran.r-project.org/package=susographql
Description: CRAN Package 'susographql' (Comprehensive Interface to the Survey Solutions 'GraphQL' API)
 Provides a complete suite of tools for interacting with the Survey Solutions
 'GraphQL' API <https://demo.mysurvey.solutions/graphql/>. This package
 encompasses all currently available queries and mutations, including the
 latest features for map uploads. It is built on the modern 'httr2' package,
 offering a streamlined and efficient interface without relying on external
 'GraphQL' client packages. In addition to core API functionalities, the
 package includes a range of helper functions designed to facilitate the use
 of available query filters.

Package: r-cran-susy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-gtools
Filename: pool/dists/focal/main/r-cran-susy_0.1.0-1.ca2004.1_all.deb
Size: 66148
MD5sum: 4b2bed054eb3761a42cd4ad604116f4b
SHA1: 3960b6a933f07f1aa448ff445087af295217d450
SHA256: d424e4bddc084a9b5128c6bd523dbc63e744f9d794ad62b3eb9f39506cad28b8
SHA512: 1a75ae7f89da2169f40147088755e1431ac77a2a6730b415120d3bc28195885425135fa867a355ffad680757a3755896e8102f7985563e23f03a8c31844bce99
Homepage: https://cran.r-project.org/package=SUSY
Description: CRAN Package 'SUSY' (Surrogate Synchrony)
 Computes synchrony as windowed cross-correlation based on two-dimensional
 time series in a text file you can upload. 'SUSY' works as described in
 Tschacher & Meier (2020) <doi:10.1080/10503307.2019.1612114>.

Package: r-cran-sutteforecastr
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-fracdiff, r-cran-robets, r-cran-forecasthybrid
Filename: pool/dists/focal/main/r-cran-sutteforecastr_0.1-1.ca2004.1_all.deb
Size: 15896
MD5sum: 00e61fb1f05538cc638445d7e9a9e48a
SHA1: b70224b15bbf0295d353281528885d5d52fc7bdd
SHA256: 6afef61a5bcea51bb545663057445e1d8496b9f4c25233fb2fbd56fde22e3bf2
SHA512: f51433828012bbe65411cd18465d3ea1b7dd362d6d6bad9537581e1340bcba99efe7edefc80b7a21169ad2cc75bb0932dd05cea0a5e871fcba543a94f8bb0bdb
Homepage: https://cran.r-project.org/package=sutteForecastR
Description: CRAN Package 'sutteForecastR' (Forecasting Data using Alpha-Sutte Indicator)
 The alpha-Sutte indicator (alpha-Sutte) was originally from developed of
 Sutte indicator. Sutte indicator can using to predict the movement of
 stocks. As the development of science, then Sutte indicator developed to
 predict not only the movement of stocks but also can forecast data on
 financial, insurance, and others time series data. Ahmar, A.S. (2017)
 <doi:10.17605/osf.io/rknsv>.

Package: r-cran-svalues
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-svalues_0.1.8-1.ca2004.1_all.deb
Size: 431332
MD5sum: 31bd846d2fab9fb4f421b0f81f4646da
SHA1: c4a9b37c7a0a4a4dc0757429a26d4c1c5a5d6c03
SHA256: ee0fc7e4fbad104e87d3d64a7ed32ee23a3a158800afe4cf78183d7ab476bbd3
SHA512: 053f0b99b362b1e9039894bf8ad4b371a2d871d919b5d5f01286944928655e4b7df79e98d91ea91d51936c91a76118a9f19ecca3943e0bbb7ad93d40083fef66
Homepage: https://cran.r-project.org/package=sValues
Description: CRAN Package 'sValues' (Measures of Sturdiness of Regression Coefficients)
 Implements the s-values proposed by Ed. Leamer.  It provides a
 context-minimal approach for sensitivity analysis using extreme bounds to
 assess the sturdiness of regression coefficients.

Package: r-cran-svdialogs
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-svgui, r-cran-rstudioapi
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svdialogs_1.1.0-1.ca2004.1_all.deb
Size: 195888
MD5sum: 85d850721f50f96772e8457578c7667d
SHA1: f528f084b32b6252b79a2ea8f1a76aeaabe3cd29
SHA256: 4a60d0c181b190e25c54cc6b35d657c31b8c72c967a6846649ba36092be8e94e
SHA512: 460dc8ae871245adb5be011404e8fcab20629087f15f627a6bd530174eb905e4a4f0b28948fb61095767dd6565be3993439410b38ca2c64d805e757e84c09ca9
Homepage: https://cran.r-project.org/package=svDialogs
Description: CRAN Package 'svDialogs' ('SciViews' - Standard Dialog Boxes for Windows, MacOS andLinuxes)
 Quickly construct standard dialog boxes for your GUI, including message
 boxes, input boxes, list, file or directory selection, ... In case R cannot
 display GUI dialog boxes, a simpler command line version of these
 interactive elements is also provided as fallback solution.

Package: r-cran-svdialogstcltk
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-svdialogs, r-cran-svgui
Suggests: r-cran-spelling, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svdialogstcltk_1.0.0-1.ca2004.1_all.deb
Size: 45636
MD5sum: 9c4a1ba448d77f56a9bdf8b4803bf6be
SHA1: ccb373f4573ae825d35577b152b4bec46b7f0df7
SHA256: a77a4c67ebae4e9b9ae2f12c5b8e2d7e71ee74e43b41af2858b82140b446fd73
SHA512: 379255624ef5374a968f14fe298eab6b6b1c50bca4713f1d48f7653b6c6c447a97741bf5416bc3d6417e27f7b5143a6ebb709688720f411ca6d55dbd3de29e5f
Homepage: https://cran.r-project.org/package=svDialogstcltk
Description: CRAN Package 'svDialogstcltk' ('SciViews' - Standard Dialog Boxes using Tcl/Tk)
 Reimplementation of the 'svDialogs' dialog boxes in Tcl/Tk.

Package: r-cran-svdmx
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-svdmx_0.1.0-1.ca2004.1_all.deb
Size: 79256
MD5sum: c82310df764065ae432fb420ff06604c
SHA1: e98d6c36532cb546e92287a3cc9addb079357bbc
SHA256: 9ae393763a55fe11d48e4c2dbc2e5fa6ba3ee638e6129a0f6ddc2a5d0940e4ab
SHA512: 28320b25309a56a471f671562fc85cd20a43dcab30322ae73bfd4a68e4e07a72c72e5bd04f550285e67d57af40f9ca36e45326676f1567217343910786fee4df
Homepage: https://cran.r-project.org/package=SVDMx
Description: CRAN Package 'SVDMx' (Child/Child-Adult Mortality-Indexed Model Mortality AgeSchedules)
 Model age schedules of mortality, nqx, suitable for a life table. This
 package implements the SVD-Comp mortality model indexed by either child or
 child/adult mortality.  Given input value(s) of either 5q0 or (5q0, 45q15),
 the qx() function generates single-year 1qx or 5-year 5qx conditional
 age-specific probabilities of dying.  See Clark (2016)
 <doi:10.48550/arXiv.1612.01408> and Clark (2019)
 <doi:10.1007/s13524-019-00785-3>.

Package: r-cran-svdvisual
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-svdvisual_1.1-1.ca2004.1_all.deb
Size: 30544
MD5sum: 821d9b48366a2022be3d11a3b39f24f4
SHA1: 587349466a183f239aff321c2ea322e5226659d7
SHA256: 27ab036818bb3c76ec222865cad09cf059cea50f07dd45d59591dca1e38988a7
SHA512: e53da34e83b1d493787b1b669f939013bf759408bf895554af986c78d3f313b1f180af2aba45e4ef5231321918f95af563fa51b7088a0ef53661a61d2a18aa78
Homepage: https://cran.r-project.org/package=svdvisual
Description: CRAN Package 'svdvisual' (SVD visualization tools)
 Some visualization tools based on Singular Value Decomposition

Package: r-cran-svelteplots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1428
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-htmlwidgets, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-rcolorbrewer, r-cran-padr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-lubridate, r-cran-rmarkdown, r-cran-quarto, r-cran-knitr, r-cran-covr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-svelteplots_0.1.0-1.ca2004.1_all.deb
Size: 451848
MD5sum: b6ad8acc054af3d2efa5ac73e154a0de
SHA1: 0a4c466ba7404e2fd3d59a3810c9d3adcde92a63
SHA256: d0e5c81d14b8748e9350c1fa751cf9b04a4feba04756121976a6d9c39bf11836
SHA512: 8fd640091901dee27bca6378197984362dd0eb9859e143da8cde9d0c0792ff45b2ac973bebdc92d83f1ec494c66f3047cfcf9577154428dbf8b81545a85beed6
Homepage: https://cran.r-project.org/package=SveltePlots
Description: CRAN Package 'SveltePlots' (A Wrapper for a Svelte Custom Web Component)
 An interactive charting library built on 'Svelte' and 'D3' to easily produce
 SVG charts in R.  Designed to simplify 'shiny' development by eliminating
 the need for renderUI(), insertUI(), removeUI(), and 'shiny' proxy
 functions, using 'Svelte''s reactive state system instead.

Package: r-cran-svemnet
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 423
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-gamlss, r-cran-gamlss.dist, r-cran-ggplot2, r-cran-lhs, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svemnet_1.3.0-1.ca2004.1_all.deb
Size: 198220
MD5sum: 93d1e05433dca3b3e02f931671362262
SHA1: 84515bdcc5c1b8528bb792a3aa7b3c000087fd2d
SHA256: 9756f92cd1e7382540b4c9faca0bbe86f0dc6f62732d08bef35943739aed36c4
SHA512: b8ed2b3bd36a7a461cf76fb007efaf15dfd532eb367e3acf6a5c5f8f11fddf3235125844e4cdf20429eb73f65f8c947c638e256eb65141a437322960f7a0f204
Homepage: https://cran.r-project.org/package=SVEMnet
Description: CRAN Package 'SVEMnet' (Self-Validated Ensemble Models with Elastic Net Regression)
 Implements Self-Validated Ensemble Models (SVEM, Lemkus et al. (2021)
 <doi:10.1016/j.chemolab.2021.104439>) using Elastic Net regression via
 'glmnet' (Friedman et al. <doi:10.18637/jss.v033.i01>). SVEM averages
 predictions from multiple models fitted to fractionally weighted bootstraps
 of the data, tuned with anti-correlated validation weights. Also implements
 the randomized permutation whole model test for SVEM (Karl (2024)
 <doi:10.1016/j.chemolab.2024.105122>). \\Code for the whole model test was
 taken from the supplementary material of Karl (2024). Development of this
 package was assisted by 'GPT o1-preview' for code structure and
 documentation.

Package: r-cran-svenssonm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-svenssonm_0.1.0-1.ca2004.1_all.deb
Size: 33276
MD5sum: 84f5dc56eed3ef86e5af4d41f9f93132
SHA1: ae061aff6bbc3df8721bf84570a040bea403cb22
SHA256: 35c5d98301d6e1ea0ae207bc71e7ab79469b06f2d3f4ce8c3e0bee094949cb5f
SHA512: f5f212c1810033951322836076ce337af98495161a078bc4c19bbad6d0749305f2f30655bf7d0a1de2719cb2730fc5d4e725e5e8d8ed30ea02223e16d53737b4
Homepage: https://cran.r-project.org/package=svenssonm
Description: CRAN Package 'svenssonm' (Svensson's Method)
 Obtain parameters of Svensson's Method, including percentage agreement,
 systematic change and individual change. Also, the contingency table can be
 generated.  Svensson's Method is a rank-invariant nonparametric method for
 the analysis of ordered scales which measures the level of change both from
 systematic and individual aspects. For the details, please refer to Svensson
 E. Analysis of systematic and random differences between paired ordinal
 categorical data [dissertation]. Stockholm: Almqvist & Wiksell
 International; 1993.

Package: r-cran-svgpanzoom
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-htmltools, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-svgpanzoom_0.3.4-1.ca2004.1_all.deb
Size: 49908
MD5sum: 85492ba4f6bd4367e984d1f01f40dd3d
SHA1: e1a453fd7bde259c017a357c71d4c7ca5243cf98
SHA256: 2554a1a24a22b0a0229c2aa6f11e52e06597068bdf0cdbde1a6e4602a0c108e2
SHA512: f1d5230f52b533a8857703bd83d572fe13c1c7f709ff6b9be7e6e9167be05e17f29268da63aa2039b72d1a09e819b5d768cb888618696afa172375b41c0e12d4
Homepage: https://cran.r-project.org/package=svgPanZoom
Description: CRAN Package 'svgPanZoom' (R 'Htmlwidget' to Add Pan and Zoom to Almost any R Graphic)
 This 'htmlwidget' provides pan and zoom interactivity to R graphics,
 including 'base', 'lattice', and 'ggplot2'. The interactivity is provided
 through the 'svg-pan-zoom.js' library. Various options to the widget can
 tailor the pan and zoom experience to nearly any user desire.

Package: r-cran-svgtools
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4423
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xml2, r-cran-stringr, r-cran-rsvg, r-cran-magick
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bezier, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-svgtools_1.1.3-1.ca2004.1_all.deb
Size: 1866200
MD5sum: d6551a9202b4c9ad1b7623e12aafe4ea
SHA1: 123da8ac92d20536fe0a5dadc6e0d458b72c7644
SHA256: f0fdf5bb6d538bedd0884c2791e4cebc864f7b974b9bf0888e84ef8d1a52a220
SHA512: a96b5d5bed5872006726478a01043548ec62f11ca494f32f43caeb4daca336ccfff38a68ca5fe7ae6e42cd80ae11f005d734cfae188aa96f295b88f13af03e7b
Homepage: https://cran.r-project.org/package=svgtools
Description: CRAN Package 'svgtools' (Manipulate SVG (Template) Files of Charts)
 The purpose of this package is to manipulate SVG files that are templates of
 charts the user wants to produce.  In vector graphics one copes with
 x-/y-coordinates of elements (e.g. lines, rectangles, text). Their scale is
 often dependent on the program that is used to produce the graphics.  In
 applied statistics one usually has numeric values on a fixed scale (e.g.
 percentage values between 0 and 100) to show in a chart.  Basically,
 'svgtools' transforms the statistical values into coordinates and
 widths/heights of the vector graphics.  This is done by stackedBar() for bar
 charts, by linesSymbols() for charts with lines and/or symbols (dot markers)
 and scatterSymbols() for scatterplots.

Package: r-cran-svgui
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svgui_1.0.1-1.ca2004.1_all.deb
Size: 52772
MD5sum: 1cebed0e9afb2d0e72827f5bb04fb364
SHA1: f245099bf0c618e4d656d0ecd19b3b9bd5ded253
SHA256: ebbda23d6fe1b8fa0182d020b59bb00315972c7ce2e640ff9df224707f7df6c0
SHA512: 7126d657531c2388a3b2870c65970d5ce0a4d6b8fcb2d37d31267ef43ce88eaf405fedf01a9b3ed5ecf19375e8c623a257611013cc88c709ebfbe051e583a1fb
Homepage: https://cran.r-project.org/package=svGUI
Description: CRAN Package 'svGUI' (SciViews - Manage GUIs in R)
 The 'SciViews' 'svGUI' package eases the management of Graphical User
 Interfaces (GUI) in R. It is independent from any particular GUI widgets
 ('Tk', 'Gtk2', native, ...). It centralizes info about GUI elements
 currently used, and it dispatches GUI calls to the particular toolkits in
 use in function of the context (is R run at the terminal, within a 'Tk'
 application, a HTML page?).

Package: r-cran-svhttp
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-svmisc
Suggests: r-cran-svsocket, r-cran-curl, r-cran-spelling, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svhttp_1.0.4-1.ca2004.1_all.deb
Size: 47180
MD5sum: e67c3d5de756c8a310d15d11462ae38e
SHA1: 3e25ffb75ac84366977fac9a27698b199a7faf5f
SHA256: 37008076c409dd6b36cb92e643b10b4b68423335a72e2477c06efef412f04bc8
SHA512: 0d92904f47863d284976f8995ffc5e803b2393648876e4fb097231b964ef867e2ef7a81e73d1c5335b164be54759ccb3e6237e5629bbae115a33c82f8e5bf415
Homepage: https://cran.r-project.org/package=svHttp
Description: CRAN Package 'svHttp' ('SciViews' - HTTP Server)
 A simple HTTP server allows to connect GUI clients to R.

Package: r-cran-svide
Architecture: all
Version: 0.9-54-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-svmisc, r-cran-xml
Filename: pool/dists/focal/main/r-cran-svide_0.9-54-1.ca2004.1_all.deb
Size: 69916
MD5sum: bd05b2837d8e6aa66a16a814516628f9
SHA1: ec9323b1ab18301b20fd9efdc55d715898379f11
SHA256: 3579afd46df6ef061c05a5ee37f4fc3189ba0d4f82199ae5f5e71236b09777a0
SHA512: 7e8cb3647d5ba341f1c4075f0ef76d5f0fe690cb604648667ee44fcdff5c5564b0b9d423b99f4958e13f57948497ea0770daec361d90cbd5d06a444e2ed0f6c7
Homepage: https://cran.r-project.org/package=svIDE
Description: CRAN Package 'svIDE' (Functions to Ease Interactions Between R and IDE or Code Editors)
 Function for the GUI API to interact with external IDE/code editors.

Package: r-cran-svkomodo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-svmisc
Suggests: r-cran-svhttp, r-cran-svsocket, r-cran-spelling, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svkomodo_1.0.0-1.ca2004.1_all.deb
Size: 59692
MD5sum: 6591f1e8d07ad22e42cb17a5a4b56fce
SHA1: efdd1df9547a9042dadd61329fd7aefc51e316d9
SHA256: e48298ea2e900d343ef9420625fb053d2f59b865af9334fa67ceecbeba62b46f
SHA512: 0504f23c9dcab980a4d201823c6d460e8edbb04c623fb0fb8fbe6ebf52b6b2afe92f15b86b190820b6035abb543f3d05f1a8234fff43167efeb5d3cb02dd8fa3
Homepage: https://cran.r-project.org/package=svKomodo
Description: CRAN Package 'svKomodo' ('SciViews' - Functions to Interface with Komodo IDE)
 R-side code to implement an R editor and IDE in Komodo IDE with the
 SciViews-K extension.

Package: r-cran-svmd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vmdecomp
Filename: pool/dists/focal/main/r-cran-svmd_0.1.0-1.ca2004.1_all.deb
Size: 14480
MD5sum: 6a30ab6de1f4d1f03ad6132b4ff56d00
SHA1: 34503fc0cf8914712cf649c94e49c7d13288a92e
SHA256: 97aaa779667ba8a47ed9ed4179676ce41c3fbfe72ed5c829f9932ad29a9b34d0
SHA512: 3052b0954875c9b5181281c8909393e4e4d145bc2ade45bd1b8c676f6765efb96d65e78c896fa5c7b6c5bc6a38fd042f9fc393224f4045a9a41b6dca13c49c36
Homepage: https://cran.r-project.org/package=SVMD
Description: CRAN Package 'SVMD' (Spearman Variational Mode Decomposition)
 In practice, it is difficult to determine the number of decomposition modes,
 K, for Variational Mode Decomposition (VMD). To overcome this issue, this
 study offers Spearman Variational Mode Decomposition (SVMD), a method that
 uses the Spearman correlation coefficient to calculate the ideal mode
 number. Unlike the Pearson correlation coefficient, which only returns a
 perfect value when X and Y are linearly connected, the Spearman correlation
 can be calculated without knowing the probability distributions of X and Y.
 The Spearman correlation coefficient, also called Spearman's rank
 correlation coefficient, is a subset of a wider correlation coefficient. As
 VMD decomposes a signal, the Spearman correlation coefficient between the
 reconstructed and original sequences rises as the mode number K increases.
 Once the signal has been fully decomposed, subsequent increases in K cause
 the correlation to gradually level off. When the correlation reaches a
 specific level, VMD is said to have adequately decomposed the signal.
 Numerous experiments revealed that a threshold of 0.997 produces the best
 denoising effect, so the threshold is set at 0.997. This package has been
 developed using concept of Yang et al.
 (2021)<doi:10.1016/j.aej.2021.01.055>.

Package: r-cran-svmisc
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 712
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-svmisc_1.4.3-1.ca2004.1_all.deb
Size: 414008
MD5sum: b8997a132e2037ef2423d28be0927bcc
SHA1: 7c17b1c0119c03370a0f265a9f0711d8528ef2f0
SHA256: be3a9999951dd9dc565f995ee9f6e00fb6d13abae8653ab4e749946b7cfed1cf
SHA512: 54a0d8a7005c5a55524767d024e99dda6295d9d93c9fc8220a7290fe1ec04b31612e1bc68aa3c9efa7a33d8f76b242b0f43b8a495d4f32b7f4f26b3fc5ce7f98
Homepage: https://cran.r-project.org/package=svMisc
Description: CRAN Package 'svMisc' (Miscellaneous Functions for 'SciViews::R')
 Functions required for the 'SciViews::R' dialect or for general use: manage
 a temporary environment attached to the search path, define synonyms for R
 functions using aka(), test if 'Aqua', 'Mac', 'Win' ... Show progress bar,
 etc.

Package: r-cran-svmmaj
Architecture: all
Version: 0.2.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 709
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reshape2, r-cran-scales, r-cran-gridextra, r-cran-dplyr, r-cran-ggplot2, r-cran-kernlab
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-svmmaj_0.2.9.3-1.ca2004.1_all.deb
Size: 592528
MD5sum: 262340f55239286bb036876e481baae1
SHA1: 2f3b81963ca5a1aa28a884f788c0ca3d11a3ed1f
SHA256: bc49a4d12c19ce2eb970fcaf69a2ab074b635cad96733813d7a3ee3c5365ccd3
SHA512: 3d73a86cb81a39b8621230884e73768cb55fe9d94f487edfaf514eb3a76f5574a776a45c4bf9dfedc9ea22990434d9aeaf4c646eaa9eb6559637c1c426de4f30
Homepage: https://cran.r-project.org/package=SVMMaj
Description: CRAN Package 'SVMMaj' (Implementation of the SVM-Maj Algorithm)
 Implements the SVM-Maj algorithm to train data with support vector machine
 <doi:10.1007/s11634-008-0020-9>.  This algorithm uses two efficient updates,
 one for linear kernel and one for the nonlinear kernel.

Package: r-cran-svmpath
Architecture: all
Version: 0.970-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-kernlab
Filename: pool/dists/focal/main/r-cran-svmpath_0.970-1.ca2004.1_all.deb
Size: 77152
MD5sum: 36b0d17be8ba3da75bfa2aaf4239afab
SHA1: 74babd3fa78a83ce5d160255a5ed30ac8935fe98
SHA256: 7b56b317d5c32791a56ab06b5e7d952d03384b6f83c48753fbc70c9d2c12735c
SHA512: 40c8e49b5dd73359678c3180a62e51e8f8eb6ed5c54897c58706c7015999eb256d9b748cd9de13980075b2aea24bb01298e6900e537157eb8d5ae0afd848d1ff
Homepage: https://cran.r-project.org/package=svmpath
Description: CRAN Package 'svmpath' (The SVM Path Algorithm)
 Computes the entire regularization path for the two-class svm classifier
 with essentially the same cost as a single SVM fit.

Package: r-cran-svmplus
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-matrix, r-cran-mass
Filename: pool/dists/focal/main/r-cran-svmplus_1.0.1-1.ca2004.1_all.deb
Size: 111652
MD5sum: fbf272c207025e48e25ac3e424164bea
SHA1: ee119ae49b5530688dc0d491584b030e12fb3639
SHA256: 1cf4f14a8ff2b35eeeb76948fb7e56a610adb9d4fee569847672e1b658c9bc6e
SHA512: 2cc48bebe901def5f735825274f7a5a0f9f89df86a86dfe9603446fb60967c150ce26abe80c2b21ad023173802e2f0baf04a50601bfa2622294cb03155c09d18
Homepage: https://cran.r-project.org/package=svmplus
Description: CRAN Package 'svmplus' (Implementation of Support Vector Machines Plus (SVM+))
 Implementation of Support Vector Machines Plus (SVM+) for classification
 problems. See (Vladimir et. al, 2009, <doi:10.1016/j.neunet.2009.06.042>)
 for theoretical details and see (Li et. al, 2016,
 <https://github.com/okbalefthanded/svmplus_matlab>) for implementation
 details in 'MATLAB'.

Package: r-cran-svn
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-memoise, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-svn_1.0.1-1.ca2004.1_all.deb
Size: 25668
MD5sum: 8f4ac7dc1b4457b217b59e5116832937
SHA1: e8be646e0cba732353c268f5059de89f89f9a288
SHA256: a3c04a0ce88f12ae810967080d8ea4e6b2e3b10e00e96fee3212700790980a00
SHA512: 0f8d52c8e872c4e433c547e5a31ea01ed9402d0e31d61f07aaf4512dd50ed4dbb372712bb9517fdb715b1235723be989f07665bc975bc81c92806638bf166526
Homepage: https://cran.r-project.org/package=SVN
Description: CRAN Package 'SVN' (Statistically Validated Networks)
 Determines networks of significant synchronization between the discrete
 states of nodes; see Tumminello et al <doi:10.1371/journal.pone.0017994>.

Package: r-cran-svplots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svplots_0.1.0-1.ca2004.1_all.deb
Size: 148164
MD5sum: 5ec320afb5be7c370fe9cae1c69e74ad
SHA1: 10d6ee62af62c162c4a749bff646c5a1a17cddae
SHA256: 5ce46cfc8b6aca9d5bf8854c8ef30899052db33bb3ab8d630bddcc11ca458090
SHA512: 8186bb591f380994572bb9ff45b007f416a4721ac12fa819842f550cea2765ab532c5208e4ed34cbbd42a7b8f649ace5f8f94244b2afd8e76955977b58c732aa
Homepage: https://cran.r-project.org/package=svplots
Description: CRAN Package 'svplots' (Sample Variance Plots (Sv-Plots))
 Two versions of sample variance plots, Sv-plot1 and Sv-plot2, will be
 provided illustrating the squared deviations from sample variance. Besides
 indicating the contribution of squared deviations for the sample
 variability, these plots are capable of detecting characteristics of the
 distribution such as symmetry, skewness and outliers. A remarkable graphical
 method based on Sv-plot2 can determine the decision on testing hypotheses
 over one or two population means.  In sum, Sv-plots will be appealing
 visualization tools. Complete description of this methodology can be found
 in the article, Wijesuriya (2020) <doi:10.1080/03610918.2020.1851716>.

Package: r-cran-svrep
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1994
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-matrix, r-cran-mvtnorm, r-cran-sampling, r-cran-survey
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-tidycensus, r-cran-dplyr, r-cran-srvyr, r-cran-withr, r-cran-prettydoc, r-cran-rsqlite, r-cran-torch
Filename: pool/dists/focal/main/r-cran-svrep_0.8.0-1.ca2004.1_all.deb
Size: 1232820
MD5sum: db3f600ee3af7d78f2a809af09517aee
SHA1: db0b8ba6a3c2d96e32a2085694138688cecd40c9
SHA256: 4f061280f09827d57c8c0710ceb1e052e5df5d3ecb90146d5700a67bc6e7faa7
SHA512: 77470448e0a901cc49d8cab52d8d77fb197cf3e703103673b35058c7eb508dab61591258ca8e244493c9847e2db481fea0e506d4c5c6f2427fdf331d7255954c
Homepage: https://cran.r-project.org/package=svrep
Description: CRAN Package 'svrep' (Tools for Creating, Updating, and Analyzing Survey ReplicateWeights)
 Provides tools for creating and working with survey replicate weights,
 extending functionality of the 'survey' package from Lumley (2004)
 <doi:10.18637/jss.v009.i08>.  Implements bootstrap methods for complex
 surveys, including the generalized survey bootstrap as described by Beaumont
 and Patak (2012) <doi:10.1111/j.1751-5823.2011.00166.x>.  Methods are
 provided for applying nonresponse adjustments to both full-sample and
 replicate weights as described by Rust and Rao (1996)
 <doi:10.1177/096228029600500305>.  Implements methods for sample-based
 calibration described by Opsomer and Erciulescu (2021)
 <https://www150.statcan.gc.ca/n1/pub/12-001-x/2021002/article/00006-eng.htm>.
 Diagnostic functions are included to compare weights and weighted estimates
 from different sets of replicate weights.

Package: r-cran-svrpath
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-svmpath
Filename: pool/dists/focal/main/r-cran-svrpath_0.1.2-1.ca2004.1_all.deb
Size: 81084
MD5sum: faf7b7e9eae5a7f3a33effd0e74bd34a
SHA1: 6d6b918a1a4639f67d91e6fac74c6f4df2799aa2
SHA256: d8200dc74bf18e0851467696aaf708e391ae22c13616cc96f478358feffd766a
SHA512: 4485baaf56184a4d621e3a4761bc37dd9815d4af966ff27c0763314ef2f3b1d096d4e57a4e95e5e521c977a0f3fd6fd7276c937bada119b95655ada498a01030
Homepage: https://cran.r-project.org/package=svrpath
Description: CRAN Package 'svrpath' (The SVR Path Algorithm)
 Computes the entire solution paths for Support Vector Regression(SVR) with
 respect to the regularization parameter, lambda and epsilon in
 epsilon-intensive loss function, efficiently. We call each path algorithm
 svrpath and epspath. See Wang, G. et al (2008)
 <doi:10.1109/TNN.2008.2002077> for details regarding the method.

Package: r-cran-svs
Architecture: all
Version: 3.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtools, r-cran-matrix
Suggests: r-cran-igraph, r-cran-mass, r-cran-pvclust
Filename: pool/dists/focal/main/r-cran-svs_3.1.1-1.ca2004.1_all.deb
Size: 187616
MD5sum: 9ec90f8710b72939f326ca255fdc5cde
SHA1: 0680a8f57df751822e3110e66770a9ad840bf347
SHA256: a5809cf0427c84b2d0dfef04cd7073dd64a05274680d84166923d5127657c58b
SHA512: 8f79eccbd97793d4c8c137ed52a549c2eb1592e9319bdd6421d41c676b1e2709ef0cf742b38cf9ec1d77159da7bca15ff6ecf5bf4fba3ffe3282095c9defe95d
Homepage: https://cran.r-project.org/package=svs
Description: CRAN Package 'svs' (Tools for Semantic Vector Spaces)
 Various tools for semantic vector spaces, such as correspondence analysis
 (simple, multiple and discriminant), latent semantic analysis, probabilistic
 latent semantic analysis, non-negative matrix factorization, latent class
 analysis, EM clustering, logratio analysis and log-multiplicative
 (association) analysis. Furthermore, there are specialized distance
 measures, plotting functions and some helper functions.

Package: r-cran-svsocket
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 480
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-svmisc
Suggests: r-cran-svhttp, r-cran-spelling, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svsocket_1.1.5-1.ca2004.1_all.deb
Size: 100808
MD5sum: 6248d19f66a89a235c38a97215a7b9b0
SHA1: 10da2ee30a9064f77dc13dd5736b1fe8b8b84122
SHA256: c8d8482cab59e0eda45f27f2f1f05c221cd800c8cf0aa19db7789a48ebda19ca
SHA512: a432b7a79903bfccdd2501c368d3606e980d3390c14181d5d842a20238ae8ad1b7b0086c55425bcb62cad1f209aac1cd01923d05b4443f7aaa13cc855205b052
Homepage: https://cran.r-project.org/package=svSocket
Description: CRAN Package 'svSocket' ('SciViews' - Socket Server)
 A socket server allows to connect clients to R.

Package: r-cran-svsweave
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-covr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svsweave_1.0.0-1.ca2004.1_all.deb
Size: 70736
MD5sum: 55684fedbcc680719201f476e4325e6c
SHA1: 7df969648aac118566ec31bb5b5a92db8bb2aca2
SHA256: 1df2e3466fbc8e5e7b3169b80aa56b86943a2cace923f5f58975f3dc7c4a6096
SHA512: 4cf40b1a2a765c70e6203435d625c5fe587afcf6b89f02dfe13065a3e4b33db8a57123f32cb66096c0dedbcba0d089e4f57ea10fb9444576c6c28b134f5e131c
Homepage: https://cran.r-project.org/package=svSweave
Description: CRAN Package 'svSweave' ('SciViews' - 'Sweave', 'Knitr' and R Markdown CompanionFunctions)
 Functions to enumerate and reference figures, tables and equations in R
 Markdown documents that do not support these features (thus not 'bookdown'
 or 'quarto'. Supporting functions for using 'Sweave' and 'Knitr' with 'LyX'.

Package: r-cran-svtools
Architecture: all
Version: 0.9-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-codetools, r-cran-svmisc
Filename: pool/dists/focal/main/r-cran-svtools_0.9-5-1.ca2004.1_all.deb
Size: 143472
MD5sum: 88753fcd0fdfa325965369cf059b78b2
SHA1: 17d2f8edcfdf8481691069758f5426e3c7887a22
SHA256: 5d72dba8670942d92161782e04cb525b8e4cf5bc66682f9603216d88b22aeb8d
SHA512: b095a430029c07550e557e981eb4313f36bab3c14c25dfa66208d63eb68aa107319fefa8cfbb822c4ebb223ed956e7727c0fa5586dc7c4b7f1f2ca9d190d6648
Homepage: https://cran.r-project.org/package=svTools
Description: CRAN Package 'svTools' (Wrappers for Tools in Other Packages for IDE Friendliness)
 Set of tools aimed at wrapping some of the functionalities of the packages
 tools, utils and codetools into a nicer format so that an IDE can use them.

Package: r-cran-svunit
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 927
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-svgui, r-cran-xml, r-cran-runit, r-cran-knitr, r-cran-markdown, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svunit_1.0.6-1.ca2004.1_all.deb
Size: 590316
MD5sum: 478b03e04f825a2fa89b5447ebbc781d
SHA1: e976411ecfba32bfdc0a798a91e45f5cc600cc05
SHA256: 8f7f8fe5ea6d6fb6894225660d566e60a1ef1a6b53e5524437b8ab583f963d14
SHA512: ecf1e6fa4f08d5e467ce6dfcba4623ae3e1f1fdd2fdeb7fadc4900b7a4d1585087518b99f082e350e1c544e4819657b0a7a86083a3899639cf7d1616b2efd3a2
Homepage: https://cran.r-project.org/package=svUnit
Description: CRAN Package 'svUnit' ('SciViews' - Unit, Integration and System Testing)
 A complete unit test system and functions to implement its GUI part.

Package: r-cran-svwidgets
Architecture: all
Version: 0.9-45-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-svmisc
Filename: pool/dists/focal/main/r-cran-svwidgets_0.9-45-1.ca2004.1_all.deb
Size: 121084
MD5sum: 71bcc031a8a0495972fe8bf78a321c5f
SHA1: bd5f1fca5177929a168ddb4742a17745271eea5d
SHA256: 73fb788cb3a2d30c0a5159aa6c9c265a9a500297573e6f03061ef7c2b2ca774d
SHA512: 0cb70563c7ecccb81081b6f3fb6e7225f8c903f40203615db0e1f2d82945cc4bfb7372b2f240d3f9ac942438bb711e1e0243552ad446f431bde11323fa5b4d8a
Homepage: https://cran.r-project.org/package=svWidgets
Description: CRAN Package 'svWidgets' (Management of GUI Widgets, Windows, and Other GUI Resources)
 High level management of widgets, windows and other graphical resources.

Package: r-cran-svycdiff
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1945
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-betareg, r-cran-numderiv, r-cran-survey
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svycdiff_0.1.1-1.ca2004.1_all.deb
Size: 1635428
MD5sum: 60f038ce2c89611df6f988998f52f291
SHA1: 36d66f20aa3724f9f915df44d7561f51b796d839
SHA256: 6b16b1d3fc70afa1a344a534408984b650896aa4e6d88499bc626914848def6d
SHA512: f062034acf6b38ad49b0f64a3f8cc602ccb871224f9217053bf656452bcd17da284ad8d24b90d4419266aafd58f422f5d089ed1ef387f4d75410e724f2c0fa13
Homepage: https://cran.r-project.org/package=svycdiff
Description: CRAN Package 'svycdiff' (Controlled Difference Estimation for Complex Surveys)
 Estimates the population average controlled difference for a given outcome
 between levels of a binary treatment, exposure, or other group membership
 variable of interest for clustered, stratified survey samples where sample
 selection depends on the comparison group. Provides three methods for
 estimation, namely outcome modeling and two factorizations of inverse
 probability weighting. Under stronger assumptions, these methods estimate
 the causal population average treatment effect. Salerno et al., (2024)
 <doi:10.48550/arXiv.2406.19597>.

Package: r-cran-svydiags
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-survey
Suggests: r-cran-doby, r-cran-foreign, r-cran-nhanes, r-cran-sampling
Filename: pool/dists/focal/main/r-cran-svydiags_0.7-1.ca2004.1_all.deb
Size: 285976
MD5sum: d91b0bf09354d6357f45371ab1a9d5c0
SHA1: 6f464828038938f9a9e1f235d16c813d6222b5fc
SHA256: 6a44f54aaa2d6b1c6181cccd83bc5e8f87752fd8ebf1260a37fa00a37d44334f
SHA512: 3fc025ffb9074c3188abb7d342134c55b8310e2113b42c716bc8960ebeec3b6f6a4c6ca0f466c3e051c96b933bb92634b1100132b617fa67be42d08871519045
Homepage: https://cran.r-project.org/package=svydiags
Description: CRAN Package 'svydiags' (Regression Model Diagnostics for Survey Data)
 Diagnostics for fixed effects linear and general linear regression models
 fitted with survey data. Extensions of standard diagnostics to complex
 survey data are included: standardized residuals, leverages, Cook's D,
 dfbetas, dffits, condition indexes, and variance inflation factors as found
 in Li and Valliant (Surv. Meth., 2009, 35(1), pp. 15-24; Jnl. of Off. Stat.,
 2011, 27(1), pp. 99-119; Jnl. of Off. Stat., 2015, 31(1), pp. 61-75); Liao
 and Valliant (Surv. Meth., 2012, 38(1), pp. 53-62; Surv. Meth., 2012, 38(2),
 pp. 189-202).  Variance inflation factors and condition indexes are also
 computed for some general linear models as described in Liao (U. Maryland
 thesis, 2010).

Package: r-cran-svylme
Architecture: all
Version: 1.5-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survey, r-cran-minqa, r-cran-matrix, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-svylme_1.5-1-1.ca2004.1_all.deb
Size: 237584
MD5sum: b7ea99b2eeda30d94fcbc857cefabe1d
SHA1: 76bd75f0fef185d7842e93b2aa7bd0b3bed88873
SHA256: 78e5906b9640cbc31ba9090301f3bc3f6ad00756a1c283a133a57ddfcdbb2ad2
SHA512: 509d445414c2b5864a214198edc8643be7bf0879e140b54aae3e5363fb4255c551cefd79ee0d5cd2d0286992989d164e912e956279dcc90a007445c2ba0836ea
Homepage: https://cran.r-project.org/package=svylme
Description: CRAN Package 'svylme' (Linear Mixed Models for Complex Survey Data)
 Linear mixed models for complex survey data, by pairwise composite
 likelihood, as described in Lumley & Huang (2023) <arXiv:2311.13048>.
 Supports nested and crossed random effects, and correlated random effects as
 in genetic models.  Allows for multistage sampling and for other designs
 where pairwise sampling probabilities are specified or can be calculated.

Package: r-cran-svynom
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-rms, r-cran-survey, r-cran-survival
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-svynom_1.2-1.ca2004.1_all.deb
Size: 39744
MD5sum: 58e872a01fdc16abaccbb50b86401c3c
SHA1: 124291a07e5492fd44edff7eebff0f0a697a551e
SHA256: 9dd58cb477ac9c0edf06638f4a1deeb246b6dbb7e5e9e9e8861dcb99fa45efc2
SHA512: 89d09323e6452639930a3ebbff64254c7ebca8dbfd5d2734bea9484a83635201a55cd2870f6964ebda3774a2ac3a82672c42228a3e22ff85d0cfadf64968741f
Homepage: https://cran.r-project.org/package=SvyNom
Description: CRAN Package 'SvyNom' (Nomograms for Right-Censored Outcomes from Survey Designs)
 Builds, evaluates and validates a nomogram with survey data and
 right-censored outcomes. As described in Capanu (2015)
 <doi:10.18637/jss.v064.c01>, the package contains functions to create the
 nomogram, validate it using bootstrap, as well as produce the calibration
 plots.

Package: r-cran-svyroc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-svyvarsel
Filename: pool/dists/focal/main/r-cran-svyroc_1.0.0-1.ca2004.1_all.deb
Size: 214428
MD5sum: 5845c5146049c343fdf344fc94afe79b
SHA1: 7e956050efa622662315b008d8642705e452a9d2
SHA256: e8c1b87197fe14ee76f74e7eaa4df13c24656e0392782a926a0595908e6996d3
SHA512: 5c18640384bf90f16c969d19a84d23a80c9391a3c4c08b3fad35d57e067efd2d8839458db935f0ac468764b752831e3b8809b0444e5e611c81b1ac748eb995e6
Homepage: https://cran.r-project.org/package=svyROC
Description: CRAN Package 'svyROC' (Estimation of the ROC Curve and the AUC for Complex Survey Data)
 Estimate the receiver operating characteristic (ROC) curve, area under the
 curve (AUC) and optimal cut-off points for individual classification taking
 into account complex sampling designs when working with complex survey data.
 Methods implemented in this package are described in: A. Iparragirre, I.
 Barrio, I. Arostegui (2024) <doi:10.1002/sta4.635>; A. Iparragirre, I.
 Barrio, J. Aramendi, I. Arostegui (2022) <doi:10.2436/20.8080.02.121>; A.
 Iparragirre, I. Barrio (2024) <doi:10.1007/978-3-031-65723-8_7>.

Package: r-cran-svyvarsel
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 741
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survey, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-svyvarsel_1.0.1-1.ca2004.1_all.deb
Size: 717052
MD5sum: c0274ddd39701b54ddebf48a055033a8
SHA1: 9246393fb85d5370982e6b5c36e0ff881a24163d
SHA256: 3066523a9e28021bb85a170bdbea8603bc682815c8376d41faab4cdc7c7c9b4f
SHA512: 73cc57e8bb09f0bf06c7700217e523ff7e3daa57b1d71e93815cdb4e3355130cd0f899dfaa1357689f777603f34c89f2cefafaf7e419ec80ebd2c89f78e9a925
Homepage: https://cran.r-project.org/package=svyVarSel
Description: CRAN Package 'svyVarSel' (Variable Selection for Complex Survey Data)
 Fit design-based linear and logistic elastic nets with complex survey data
 considering the sampling design when defining training and test sets using
 replicate weights. Methods implemented in this package are described in: A.
 Iparragirre, T. Lumley, I. Barrio, I. Arostegui (2024)
 <doi:10.1002/sta4.578>.

Package: r-cran-svyvgam
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vgam, r-cran-survey
Suggests: r-cran-pscl, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-svyvgam_1.2-1.ca2004.1_all.deb
Size: 73328
MD5sum: 962c757060ac0d6fcecce63133b4b6e6
SHA1: 534da60681d9796852f7629876e7555b8d134ad7
SHA256: 1c7aaf7ae6144a8abdfacc694fdc86694cdf381c4f0ff93f167ccd960c02ddab
SHA512: 6c20d1b1747f870eae56ab7177a41a0d373af3ddf23c2b527ec224526097dc83e0bc6490103f164a4643d7d9ab60830d2c8bd8ae880ed91bdbeda45ffe6b894d
Homepage: https://cran.r-project.org/package=svyVGAM
Description: CRAN Package 'svyVGAM' (Design-Based Inference in Vector Generalised Linear Models)
 Provides inference based on the survey package for the wide range of
 parametric models in the 'VGAM' package.

Package: r-cran-svyweight
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-survey, r-cran-gdata
Suggests: r-cran-dplyr, r-cran-srvyr, r-cran-testthat, r-cran-mice
Filename: pool/dists/focal/main/r-cran-svyweight_0.1.0-1.ca2004.1_all.deb
Size: 98640
MD5sum: 716357ddba251ad0183fe389ffb3af24
SHA1: 695be48845d0c91a108abaaf90d79bb821974369
SHA256: f3b2b23013001aeb45776cc35d7e9a251e4f0ca59fe3399503ec1a7f71512fc6
SHA512: 8b18ef9bddae42d721c3d00dc1e99392036da0e43f8ea1ed7157959fb75ee0398325d4e39873a4cf111e9106bf9d8ea5df353194e34f826ea9666d8e109973e3
Homepage: https://cran.r-project.org/package=svyweight
Description: CRAN Package 'svyweight' (Quick and Flexible Survey Weighting)
 Quickly and flexibly calculates weights for survey data, in order to correct
 for survey non-response or other sampling issues. Uses rake weighting, a
 common technique also know as rim weighting or iterative proportional
 fitting.  This technique allows for weighting on multiple variables, even
 when the interlocked distribution of the two variables is not known.
 Interacts with Thomas Lumley's 'survey' package, as described in Lumley,
 Thomas (2011, ISBN:978-1-118-21093-2). Adds additional functionality, more
 adaptable syntax, and error-checking to the base weighting functionality in
 'survey.'

Package: r-cran-swa
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr, r-cran-reshape, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swa_0.8.1-1.ca2004.1_all.deb
Size: 22820
MD5sum: 916989182817431ed5fc607309b12ac4
SHA1: e2c6c20f6b7227313e7a2019f313655abac54551
SHA256: de3101db828a2c696b39896344d06f5aa8c4cca386f63c41b367fbe083cb3090
SHA512: 98403ed1f337113b5d0517b54e23ff685e2472643a54c080776330fc01879b1656568d4d70db3c998a0763e8c54e9301dbe33f04e082df2674e425fcb0aecba6
Homepage: https://cran.r-project.org/package=swa
Description: CRAN Package 'swa' (Subsampling Winner Algorithm for Classification)
 This algorithm conducts variable selection in the classification setting. It
 repeatedly subsamples variables and runs linear discriminant analysis (LDA)
 on the subsampled variables. Variables are scored based on the AUC and the
 t-statistics. Variables then enter a competition and the semi-finalist
 variables will be evaluated in a final round of LDA classification. The
 algorithm then outputs a list of variable selected. Qiao, Sun and Fan (2017)
 <http://people.math.binghamton.edu/qiao/swa.html>.

Package: r-cran-swag
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-cran-rdpack
Suggests: r-cran-doparallel, r-cran-e1071, r-cran-foreach, r-cran-ggplot2, r-cran-glmnet, r-cran-iterators, r-cran-kernlab, r-cran-knitr, r-cran-lattice, r-cran-mlbench, r-cran-modelmetrics, r-cran-nlme, r-cran-plyr, r-cran-proc, r-cran-randomforest, r-cran-recipes, r-cran-remotes, r-cran-reshape2, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-swag_0.1.0-1.ca2004.1_all.deb
Size: 49476
MD5sum: b4789d5c65166516f8ff5ba3012e49d7
SHA1: 24c0e79f251b3180bbc447736c05baba7620316c
SHA256: 2350260f5b58213853282b75adf49e40f1d6b23f9d26a6fc83208e2ac3a70a6f
SHA512: f96ddf3c7901da3b47cb66da70d559ffb2d47edb17fc4981139fd271e006e14b017dfeeb8dc75f61ad30de8bf35858ac152c15eca037200b5a065798f673f09d
Homepage: https://cran.r-project.org/package=swag
Description: CRAN Package 'swag' (Sparse Wrapper Algorithm)
 An algorithm that trains a meta-learning procedure that combines screening
 and wrapper methods to find a set of extremely low-dimensional attribute
 combinations. This package works on top of the 'caret' package and proceeds
 in a forward-step manner. More specifically, it builds and tests learners
 starting from very few attributes until it includes a maximal number of
 attributes by increasing the number of attributes at each step. Hence, for
 each fixed number of attributes, the algorithm tests various (randomly
 selected) learners and picks those with the best performance in terms of
 training error. Throughout, the algorithm uses the information coming from
 the best learners at the previous step to build and test learners in the
 following step. In the end, it outputs a set of strong low-dimensional
 learners.

Package: r-cran-swagger
Architecture: all
Version: 5.17.14.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6229
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-jsonlite, r-cran-plumber, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swagger_5.17.14.1-1.ca2004.1_all.deb
Size: 1036516
MD5sum: 3d77dce69cc57a83a01b40b331e5a64c
SHA1: 951459547037503b3043b6bcf60360126c074244
SHA256: 3bb50e162448f351430d552f3976a37d2f797339ae4e150d35fbfc8239ea9316
SHA512: d5f17006f04c567f9a75c98d28786bdc474eeef089e24e0cf49ed76819639c61d8bdc014243a3b8e2d2841738b68294b04e264103f5e83b058b3433ecd2b25f0
Homepage: https://cran.r-project.org/package=swagger
Description: CRAN Package 'swagger' (Dynamically Generates Documentation from a 'Swagger' CompliantAPI)
 A collection of 'HTML', 'JavaScript', and 'CSS' assets that dynamically
 generate beautiful documentation from a 'Swagger' compliant API:
 <https://swagger.io/specification/>.

Package: r-cran-swamp
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-impute, r-cran-amap, r-cran-gplots, r-cran-mass
Filename: pool/dists/focal/main/r-cran-swamp_1.5.1-1.ca2004.1_all.deb
Size: 125384
MD5sum: 91e67ead69005d95ed07f51291751e69
SHA1: c7748a2d0c802dc1eede50a5372f9c0ac97c83ee
SHA256: a8a6cbd00894e06e796f64ada777312ba1bd8d6b3c846aaa5df2132f3a7980c8
SHA512: 5b85f69d0831157f0aca5ce37f600917a4c1bf9b25f717e7ed03232daeb622e9e9a402d33331c6f799ffbdcd5492f50f28323ad5f86827b1c7c4a46a649752a3
Homepage: https://cran.r-project.org/package=swamp
Description: CRAN Package 'swamp' (Visualization, Analysis and Adjustment of High-Dimensional Datain Respect to Sample Annotations)
 Collection of functions to connect the structure of the data with the
 information on the samples. Three types of associations are covered: 1.
 linear model of principal components. 2. hierarchical clustering analysis.
 3. distribution of features-sample annotation associations. Additionally,
 the inter-relation between sample annotations can be analyzed. Simple
 methods are provided for the correction of batch effects and removal of
 principal components.

Package: r-cran-swaprinc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-broom.mixed, r-cran-dplyr, r-cran-gifi, r-cran-lme4, r-cran-magrittr, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swaprinc_1.0.1-1.ca2004.1_all.deb
Size: 42704
MD5sum: 00b449c9ed3bfb9b680dafa1364c570a
SHA1: 5db70b9bdd14b606d36f518d9fc2699f9d4235b4
SHA256: 0ac7dadfe7b73a2db4894930f6094dcd566d53435d7fc63a6f5c0d15a6068c51
SHA512: db1316fbe8f915ebfb8dae95cbd6bd7d47da049aef70934aa7d6a8f3ac51138b5fac354969b56af426794a4824dedae0f01514a0963d9147dc98f521e20cf8a5
Homepage: https://cran.r-project.org/package=swaprinc
Description: CRAN Package 'swaprinc' (Swap Principal Components into Regression Models)
 Obtaining accurate and stable estimates of regression coefficients can be
 challenging when the suggested statistical model has issues related to
 multicollinearity, convergence, or overfitting. One solution is to use
 principal component analysis (PCA) results in the regression, as discussed
 in Chan and Park (2005) <doi:10.1080/01446190500039812>. The swaprinc()
 package streamlines comparisons between a raw regression model with the full
 set of raw independent variables and a principal component regression model
 where principal components are estimated on a subset of the independent
 variables, then swapped into the regression model in place of those
 variables. The swaprinc() function compares one raw regression model to one
 principal component regression model, while the compswap() function compares
 one raw regression model to many principal component regression models.
 Package functions include parameters to center, scale, and undo centering
 and scaling, as described by Harvey and Hansen (2022)
 <https://cran.r-project.org/package=LearnPCA/vignettes/Vig_03_Step_By_Step_PCA.pdf>.
 Additionally, the package supports using Gifi methods to extract principal
 components from categorical variables, as outlined by Rossiter (2021)
 <https://www.css.cornell.edu/faculty/dgr2/_static/files/R_html/NonlinearPCA.html#2_Package>.

Package: r-cran-swarm
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2619
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-splancs, r-cran-geosphere, r-cran-lubridate, r-cran-mass
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swarm_0.6.0-1.ca2004.1_all.deb
Size: 188780
MD5sum: b500d1d59579777c18675f59a4125d1d
SHA1: 55fb5ad8df2c00b08ba8e72d19e9385da77c6cec
SHA256: 0fe6b0fbed12d84312eb721d492cb30f2d7ee7e25bff04305a48c0602422494e
SHA512: 4074f6ae289f3edbe09d1bf612e64030014cd17a642023608e83325caed153e255b778d437d4aa194012c35b7771ed79a35f3a1d027635720070713c3bdbe103
Homepage: https://cran.r-project.org/package=swaRm
Description: CRAN Package 'swaRm' (Processing Collective Movement Data)
 Function library for processing collective movement data (e.g. fish schools,
 ungulate herds, baboon troops) collected from GPS trackers or computer
 vision tracking software.

Package: r-cran-swarmverse
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pbapply, r-cran-rtsne, r-cran-trackdf, r-cran-swarm, r-cran-geosphere
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-swarmverse_0.1.1-1.ca2004.1_all.deb
Size: 326292
MD5sum: 17fef931bfc74b6e337a4db1748f580d
SHA1: 62245ebce992549f3b8ab8515fb9a02d272ea0db
SHA256: 5b499018a931024480d304057d002c8e7a3b072998a0b4cb99a8dc5e760ffe74
SHA512: 2599beb61b97811f84dbf947c05c7590ce0e62bb1c4b29cb06f6a48be747e84ab6d5693f5d530c94c69bbf378e5cf7f1e7e28e8ce8d81de29dda1db89b6e291e
Homepage: https://cran.r-project.org/package=swaRmverse
Description: CRAN Package 'swaRmverse' (Swarm Space Creation)
 Provides a pipeline for the comparative analysis of collective movement data
 (e.g. fish schools, bird flocks, baboon troops) by processing 2-dimensional
 positional data (x,y,t) from GPS trackers or computer vision tracking
 systems, discretizing events of collective motion, calculating a set of
 established metrics that characterize each event, and placing the events in
 a multi-dimensional swarm space constructed from these metrics.  The swarm
 space concept, the metrics and data sets included are described in:
 Papadopoulou Marina, Furtbauer Ines, O'Bryan Lisa R., Garnier Simon,
 Georgopoulou Dimitra G., Bracken Anna M., Christensen Charlotte and King
 Andrew J. (2023) <doi:10.1098/rstb.2022.0068>.

Package: r-cran-swash
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 986
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-swash_1.2.1-1.ca2004.1_all.deb
Size: 921824
MD5sum: e8b79dcbd3a0aa152edae21a61dca69e
SHA1: e919be0ad9cbb5ef030024245101da810eae1854
SHA256: 05489b9dcbd2f40310e26dc802e36f4cdf08c474b88212dbf24cd57275809c0a
SHA512: db7d1d35676d7f407a3bb8260613a81ea4c1186883fc099c92e08a828deadfd6d15db4035b3f429fb8b436d0bd795a08e8f0c3198ba146fee2c35a733e53f234
Homepage: https://cran.r-project.org/package=swash
Description: CRAN Package 'swash' (Swash-Backwash Model for the Single Epidemic Wave)
 The Swash-Backwash Model for the Single Epidemic Wave was developed by Cliff
 and Haggett (2006) <doi:10.1007/s10109-006-0027-8> to model the velocity of
 spread of infectious diseases across space. This package enables the
 calculation of the Swash-Backwash Model for user-supplied panel data on
 regional infections. The package also provides additional functions for
 bootstrap confidence intervals, country comparison, visualization of
 results, and data management.

Package: r-cran-swcrtdesign
Architecture: all
Version: 4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lme4, r-cran-lmertest
Filename: pool/dists/focal/main/r-cran-swcrtdesign_4.0-1.ca2004.1_all.deb
Size: 169600
MD5sum: 329ae97b4c5cfeac5d059540cb6710f5
SHA1: b92b995bfe29a2cb565fb6b9cd6c05bd4e05cb89
SHA256: 79744b8274a4b54dabedbaee3b3c2981ae084055222a347434599d196804c9f0
SHA512: a4a42c69ce3fe944935be8f28949c21fbf5175a57bdf573fbe62f5dd0320df67c2f8a77f93ce0e276f22950d4e698f3656b34a64506e6d723a37ddcc8a3ff587
Homepage: https://cran.r-project.org/package=swCRTdesign
Description: CRAN Package 'swCRTdesign' (Stepped Wedge Cluster Randomized Trial (SW CRT) Design)
 A set of tools for examining the design and analysis aspects of stepped
 wedge cluster randomized trials (SW CRT) based on a repeated cross-sectional
 sampling scheme (Hussey MA and Hughes JP (2007) Contemporary Clinical Trials
 28:182-191. <doi:10.1016/j.cct.2006.05.007>).

Package: r-cran-swdft
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1429
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-fftwtools, r-cran-fields, r-cran-signal, r-cran-nloptr, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-swdft_1.0.0-1.ca2004.1_all.deb
Size: 980164
MD5sum: 71a479ff2a2c53a30a8a0e16b6ebab58
SHA1: 7490403f9add93303cc83ed8f2c8b7fb34d1bbc1
SHA256: 68060c9df51d17521374c60b3719d6b8240249e23a20d176d44f00256617a9e0
SHA512: 47c40fd89b613fe309dbe88c74cc6149a4a3808b7c8ccadcd6c7f5f672532dcbd368fe1d190f5d5385179716a577341fa2a398df0afde457b0762e50bbe17584
Homepage: https://cran.r-project.org/package=swdft
Description: CRAN Package 'swdft' (Sliding Window Discrete Fourier Transform (SWDFT))
 Implements the Sliding Window Discrete Fourier Transform (SWDFT). Also
 provides statistical methods based on the SWDFT, and graphical tools to
 display the outputs.

Package: r-cran-sweep
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1334
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-forecast, r-cran-lubridate, r-cran-tibble, r-cran-tidyr, r-cran-timetk, r-cran-rlang, r-cran-tidyverse, r-cran-tidyquant
Suggests: r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-scales, r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-sweep_0.2.5-1.ca2004.1_all.deb
Size: 906836
MD5sum: d79c281de5b29118e0a6ae9faa5712e5
SHA1: e8ba24584874f64f8762787543175cac86bf965d
SHA256: 09c2b17d76ff90bb9a7d9fab02452483bfaa1dcf9ef5b2a7da5f373a563aa0e4
SHA512: 094adab70948f8bbd7ae02c43afd69366bf8dc4e0734d71093a3c8666c9ed94c9df2508f399f2026f66dbe439a0128b03a50785de1557ece5946a445b9a6e013
Homepage: https://cran.r-project.org/package=sweep
Description: CRAN Package 'sweep' (Tidy Tools for Forecasting)
 Tidies up the forecasting modeling and prediction work flow, extends the
 'broom' package with 'sw_tidy', 'sw_glance', 'sw_augment', and
 'sw_tidy_decomp' functions for various forecasting models, and enables
 converting 'forecast' objects to "tidy" data frames with 'sw_sweep'.

Package: r-cran-sweepdiscovery
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1705
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-sweepdiscovery_0.1.1-1.ca2004.1_all.deb
Size: 1678244
MD5sum: a34675668eae7d34d53af878d863920f
SHA1: 83ea46d941975e0283b7269d16ceeb675dcbb90c
SHA256: c152842f86a55a57c4c8d418450ebbff7333abe44fa3e9a9d38df7b71e200c1d
SHA512: 776c15e1af45277958c2f7e92d92c53722457f850780c44fe210bdb8b0f54fc7c62adbf595d24a25d02aa6331b9c6c0d15a51ae3b659595f1ea2c0307f78f4cb
Homepage: https://cran.r-project.org/package=SweepDiscovery
Description: CRAN Package 'SweepDiscovery' (Selective Sweep Discovery Tool)
 Selective sweep is a biological phenomenon in which genetic variation
 between neighboring beneficial mutant alleles is swept away due to the
 effect of genetic hitchhiking. Detection of selective sweep is not well
 acquainted as well as it is a laborious job. This package is a user friendly
 approach for detecting selective sweep in genomic regions. It uses a Random
 Forest based machine learning approach to predict selective sweep from VCF
 files as an input. Input of this function, train data and new data, can be
 computed using the project
 <https://github.com/AbhikSarkar1999/SweepDiscovery> in 'GitHub'. This
 package has been developed by using the concept of Pavlidis and Alachiotis
 (2017) <doi:10.1186/s40709-017-0064-0>.

Package: r-cran-sweidnumbr
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-stringr, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-sweidnumbr_1.5.0-1.ca2004.1_all.deb
Size: 128304
MD5sum: 67153e503712063574376691ec91e6e3
SHA1: fe27fdc8f76be5c28ee7092e831ddd026954c487
SHA256: bbedbe40e7c49274ef573b80aae01c5e9175eb2ffbe49b0f28a87a6b32bffa13
SHA512: 70b92ec81d03e5f345e6aec8aa9b7774c2e39f4d261a70844718dfb6d8dc63caf2f5e23794dd05370f5353bce42af80f897534e1900e5d5833ddb1a24655f4db
Homepage: https://cran.r-project.org/package=sweidnumbr
Description: CRAN Package 'sweidnumbr' (Handling of Swedish Identity Numbers)
 Structural handling of identity numbers used in the Swedish administration
 such as personal identity numbers ('personnummer') and organizational
 identity numbers ('organisationsnummer').

Package: r-cran-swfscairdas
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1210
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-swfscdas, r-cran-swfscmisc, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-swfscairdas_0.3.1-1.ca2004.1_all.deb
Size: 1065804
MD5sum: c044e2b7f0250ca350f9a42c861e0425
SHA1: c78467bc3220509a0d3094245c3efd2fa3f9de1f
SHA256: d393e7e3b9cc07092a6447e1e7dfd51daf49ec23f3718c06dce0d2f3641b1e1d
SHA512: d0fed25320660b1eebde362071f636e5c0e73983f0e0d517078e2111a18eab53d5b5ffa18a1b60de9c42ca16c5e20225bc27360205460d5a841fec00f5421e1a
Homepage: https://cran.r-project.org/package=swfscAirDAS
Description: CRAN Package 'swfscAirDAS' (Southwest Fisheries Science Center Aerial DAS Data Processing)
 Process and summarize aerial survey 'DAS' data (AirDAS)
 <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-185.PDF>
 collected using an aerial survey program from the Southwest Fisheries
 Science Center (SWFSC)
 <https://www.fisheries.noaa.gov/west-coast/science-data/california-current-marine-mammal-assessment-program>.
 PDF files detailing the relevant AirDAS data formats are included in this
 package.

Package: r-cran-swfscdas
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 782
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-sf, r-cran-swfscmisc, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swfscdas_0.6.4-1.ca2004.1_all.deb
Size: 579692
MD5sum: 929ddcce962ace9e2ac2f7d735046af6
SHA1: bcdb3f84de7e0596316a4a3f3ed78d52e42e1622
SHA256: a9e4dc6e5fa4faf4aa760b9d8e38f1ec7255d91d4d1ebdb2741b15f4c1048ade
SHA512: 689a7d2182f42bf025a326f2c990c3e5e9e0fe7908bc80b9348075edc97f032a6f5d415b1bd7569662b735d9e01b0c3c1502c49943b52ceaf59118ceccca6ae0
Homepage: https://cran.r-project.org/package=swfscDAS
Description: CRAN Package 'swfscDAS' (Processing DAS Data Files)
 Process and summarize DAS data files.  These files are typically, but do not
 have to be DAS
 <https://swfsc-publications.fisheries.noaa.gov/publications/TM/SWFSC/NOAA-TM-NMFS-SWFSC-305.PDF>
 data produced by the Southwest Fisheries Science Center (SWFSC) program
 'WinCruz'.  This package standardizes and streamlines basic DAS data
 processing, and includes a PDF with the DAS data format requirements
 expected by the package.

Package: r-cran-swfscmisc
Architecture: all
Version: 1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-dplyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-hdinterval, r-cran-kknn, r-cran-modeest, r-cran-tibble, r-cran-rlang, r-cran-sf, r-cran-spatstat.geom, r-cran-tidyr
Suggests: r-cran-coda, r-cran-runjags, r-cran-rstan
Filename: pool/dists/focal/main/r-cran-swfscmisc_1.7-1.ca2004.1_all.deb
Size: 206772
MD5sum: 6a5d86b0e317f0a8f7a534ff9b6904f2
SHA1: 89d7a8bd7073cc14daf0b030793a0c0f01a79daf
SHA256: f9eef34385409f15989523edc3fe6f971753f167a8647bb194cc5469690efd9e
SHA512: 8b14ff38994c3a317a0906ee22202595b6393624ff1c12989e079d197869dcf9aa6795262fb2336bbfcb16e3fa2f35c5c954654f1ff8c660c2ea48fa1ad4a941
Homepage: https://cran.r-project.org/package=swfscMisc
Description: CRAN Package 'swfscMisc' (Miscellaneous Functions for Southwest Fisheries Science Center)
 Collection of conversion, analytical, geodesic, mapping, and plotting
 functions. Used to support packages and code written by researchers at the
 Southwest Fisheries Science Center of the National Oceanic and Atmospheric
 Administration.

Package: r-cran-swgee
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gee, r-cran-geepack, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-swgee_1.4-1.ca2004.1_all.deb
Size: 57340
MD5sum: 9cddc7db673ad5ef050b7eef814a42b9
SHA1: 11efb9f5c14366a2e7af68eb9bb94e5546bac37e
SHA256: ad2cb902545e38a75556a7b7a6ee8bef70f80ba9ecb30dd85c24433aeacc9fe4
SHA512: 800d0f2139d5f040a208a0fbdfa041d948791d2ea4615b1320c07beadbfc4d5ed89660c3632686b9d75cd8c7d7e776f4c62053f0483d72504925090961748c0d
Homepage: https://cran.r-project.org/package=swgee
Description: CRAN Package 'swgee' (Simulation Extrapolation Inverse Probability WeightedGeneralized Estimating Equations)
 Simulation extrapolation and inverse probability weighted generalized
 estimating equations method for longitudinal data with missing observations
 and measurement error in covariates. References: Yi, G. Y. (2008)
 <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994)
 <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B.
 (2002, ISBN:978-0-471-18386-0).

Package: r-cran-swim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4509
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack, r-cran-hmisc, r-cran-nleqslv, r-cran-reshape2, r-cran-plyr, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-mvtnorm, r-cran-spelling, r-cran-weighted.desc.stat, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-ggpubr
Filename: pool/dists/focal/main/r-cran-swim_1.0.0-1.ca2004.1_all.deb
Size: 3677916
MD5sum: bac01bb2409a234b83ae4673a5d56151
SHA1: 6285b5f960852170b8b9e95f92e7750dbae74c16
SHA256: a9ce52ef6c5d3dddd2b14799b9e8c72297a08e99b8da567c37deccf67b7d8167
SHA512: 1fe0c254e9a3a76a6f428f1e8e312183ff2da44a4e79ec50728271c74105670aaba1edb0ffc409c7841af2bc19a4a7a44591fcdd2d265a73067f06c3924fd911
Homepage: https://cran.r-project.org/package=SWIM
Description: CRAN Package 'SWIM' (Scenario Weights for Importance Measurement)
 An efficient sensitivity analysis for stochastic models based on Monte Carlo
 samples. Provides weights on simulated scenarios from a stochastic model,
 such that stressed random variables fulfil given probabilistic constraints
 (e.g. specified values for risk measures), under the new scenario weights.
 Scenario weights are selected by constrained minimisation of the relative
 entropy to the baseline model.  The 'SWIM' package is based on Pesenti S.M.,
 Millossovich P., Tsanakas A. (2019) "Reverse Sensitivity Testing: What does
 it take to break the model" <openaccess.city.ac.uk/id/eprint/18896/> and
 Pesenti S.M. (2021) "Reverse Sensitivity Analysis for Risk Modelling"
 <https://www.ssrn.com/abstract=3878879>.

Package: r-cran-swimmer
Architecture: all
Version: 0.14.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4526
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-rvest, r-cran-pdftools, r-cran-magrittr, r-cran-xml2, r-cran-readr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-swimmer_0.14.2-1.ca2004.1_all.deb
Size: 3174260
MD5sum: 9f14b5681d0b8ddc3acbdeef0c831b61
SHA1: 298f3b47c13062fa54b762cce94c766b703cd012
SHA256: f4cd342f3a87b4ebf8c8b621050e1ed61242268cca6900aef1eb520a98a7eed1
SHA512: 442ac81e00155bc98996e84517c12fde13b348fa58d600c67f2bc1d48bb4aa613b9caca9f02b0525b598827cc6df604033025e452a1a68616069e5c62ecb12d9
Homepage: https://cran.r-project.org/package=SwimmeR
Description: CRAN Package 'SwimmeR' (Data Import, Cleaning, and Conversions for Swimming Results)
 The goal of the 'SwimmeR' package is to provide means of acquiring, and then
 analyzing, data from swimming (and diving) competitions.  To that end
 'SwimmeR' allows results to be read in from .html sources, like 'Hy-Tek'
 real time results pages, '.pdf' files, 'ISL' results, 'Omega' results, and
 (on a development basis) '.hy3' files.  Once read in, 'SwimmeR' can convert
 swimming times (performances) between the computationally useful format of
 seconds reported to the '100ths' place (e.g. 95.37), and the conventional
 reporting format (1:35.37) used in the swimming community.  'SwimmeR' can
 also score meets in a variety of formats with user defined point values,
 convert times between courses ('LCM', 'SCM', 'SCY') and draw single
 elimination brackets, as well as providing a suite of tools for working
 cleaning swimming data.  This is a developmental package, not yet mature.

Package: r-cran-swimplot
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2031
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swimplot_1.2.0-1.ca2004.1_all.deb
Size: 647352
MD5sum: 49e4264306d13203c6cd8aa9d244a048
SHA1: e7931394a12588d1ce8c6f74004947b6993173f5
SHA256: ea809620ed10cce5e333ac74890c20708f507800d6930e7fb78e14da5af75389
SHA512: fea8d61453233d1aa3f5efe3212d365ff182b75d0b05a0905af3110d6069efad9f060ec42591817ca91b0453b25d202d923d23a3dcbe582ccb9ae9721ff7304b
Homepage: https://cran.r-project.org/package=swimplot
Description: CRAN Package 'swimplot' (Tools for Creating Swimmers Plots using 'ggplot2')
 Used for creating swimmers plots with functions to customize the bars, add
 points, add lines, add text, and add arrows.

Package: r-cran-swiper
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-base64enc, r-cran-htmltools, r-cran-htmlwidgets, r-cran-rchoicedialogs
Suggests: r-cran-ggplot2, r-cran-ggthemes, r-cran-shiny, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-swiper_1.1.0-1.ca2004.1_all.deb
Size: 69448
MD5sum: e4be0a7bb16235175ac104e1e5843089
SHA1: 2444b6ce767852bf5c0a385c21a5f52204278f64
SHA256: 6e0e96a715bf31e176ee1dce8297a2387e84a29c58e45c3cc30a5529a523b572
SHA512: 956e196847253bbbeb9d072668ee8342d4ac276bd2e7829588a8c59b3c66fb5a23cdab44727b76ee3287d14291f1bad93424430574595a837f53fcb5f293a45d
Homepage: https://cran.r-project.org/package=swipeR
Description: CRAN Package 'swipeR' (Carousels using the 'JavaScript' Library 'Swiper')
 Create carousels using the 'JavaScript' library 'Swiper' and the package
 'htmlwidgets'. The carousels can be displayed in the 'RStudio' viewer pane,
 in 'Shiny' applications and in 'R markdown' documents. The package also
 provides a 'RStudio' addin allowing to choose image files and to display
 them in the viewer pane.

Package: r-cran-swirl
Architecture: all
Version: 2.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 397
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-testthat, r-cran-httr, r-cran-yaml, r-cran-rcurl, r-cran-digest
Suggests: r-cran-stringi
Filename: pool/dists/focal/main/r-cran-swirl_2.4.5-1.ca2004.1_all.deb
Size: 346848
MD5sum: f3b8ae693ce777925210884b17165224
SHA1: 6a7e689dbc9979e5089fe6c2ba8d9b8c3f33e5b9
SHA256: 14afde27e5f51835151fdbdf5c13adb4ec2730125b91a4e9cc705c998e472277
SHA512: f017957681f53f77c8ed65d4bdbecb99338ea479f1ec4fc28db466d3e29320c6b3414cd6bd07a6d8fba659af002ce71e3d8095e1dc33b71e8b3b7acfc713cd43
Homepage: https://cran.r-project.org/package=swirl
Description: CRAN Package 'swirl' (Learn R, in R)
 Use the R console as an interactive learning environment. Users receive
 immediate feedback as they are guided through self-paced lessons in data
 science and R programming.

Package: r-cran-swirlify
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-swirl, r-cran-stringr, r-cran-yaml, r-cran-rmarkdown, r-cran-whisker, r-cran-shiny, r-cran-shinyace, r-cran-base64enc, r-cran-readr
Suggests: r-cran-testthat, r-cran-digest
Filename: pool/dists/focal/main/r-cran-swirlify_0.5.3-1.ca2004.1_all.deb
Size: 106912
MD5sum: 053d5d7d257706884c98b157c8709426
SHA1: 5c38fc87a591b8c5c2c38cdce25c39caa7af7c65
SHA256: 17e28d03b0c2edec47bf0f8ab52fdd2d80f6b5dfaa1a5d6770dc7d90ce09829e
SHA512: 645e2e8359c7fded8ad2f48f643b164cd85afa5048e5d23fcfbe2b4c9d9f92f220b22d91be0f7ae9b2601bd865d7e6964fa64c1ea0e1be3bb0ab14c1ae27e00c
Homepage: https://cran.r-project.org/package=swirlify
Description: CRAN Package 'swirlify' (A Toolbox for Writing 'swirl' Courses)
 A set of tools for writing and sharing interactive courses to be used with
 swirl.

Package: r-cran-swissair
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 784
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-idpmisc
Filename: pool/dists/focal/main/r-cran-swissair_1.1.6-1.ca2004.1_all.deb
Size: 681720
MD5sum: b9b4a6959d435d8f03329549537a0f42
SHA1: 309865ca54d1e45e41a1a94f261e601761a090e2
SHA256: da322c7838f556a940b465551aa106e759b0dd672b11b936f439612491108ec9
SHA512: 0ba271292224f74337fc38f6e044e31da4b907350e01cb9708522a2ee87607b0d579231d732b310c064e7b82701ce190db0a5d542a69cbbe6173c2381dde683c
Homepage: https://cran.r-project.org/package=SwissAir
Description: CRAN Package 'SwissAir' (Air Quality Data of Switzerland for One Year in 30 MinResolution)
 Ozone, NOx (= Sum of nitrogen monoxide and nitrogen dioxide), nitrogen
 monoxide, ambient temperature, dew point, wind speed and wind direction at 3
 sites around lake of Lucerne in Central Switzerland in 30 min time
 resolution for year 2004.

Package: r-cran-swissmrp
Architecture: all
Version: 0.62-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arm, r-cran-lme4, r-cran-maptools, r-cran-blme, r-cran-sp
Filename: pool/dists/focal/main/r-cran-swissmrp_0.62-1.ca2004.1_all.deb
Size: 137776
MD5sum: 98401614dcf75128f059ed4712eb4696
SHA1: 8e554ae99b8ef55a3b05101afc8457ab6aa631e2
SHA256: 7908f3fa2f9176531d58eb20bbc7a89558ad4eb3bb9054b8f77f5cce6a0b8ec4
SHA512: e0e68fa06eb05195184051b9eb20e9097f889107daded96101e72a467aeffac5512746489ca0fd9af77ab4ab98da85d1a0d6996ab8a7e55255da0c46b5a3400a
Homepage: https://cran.r-project.org/package=swissMrP
Description: CRAN Package 'swissMrP' (Multilevel Regression with Post-Stratification (MrP) forSwitzerland)
 Provides a number of useful functions to employ MrP for small area
 prediction in Switzerland. Based on a hierarchical model and survey data one
 can derive cantonal preference measures. The package allows to automatize
 the prediction and post-stratification steps. It further provides adequate
 print, summary, map, and plot functions for objects of its class.

Package: r-cran-swissparl
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-crayon, r-cran-httr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-swissparl_0.2.2-1.ca2004.1_all.deb
Size: 76100
MD5sum: afce924dbcb296e52bcb35c828d01fe4
SHA1: 79c658716826eb45ae495ce8e9e9e4b3ad327969
SHA256: 6ab9a63f9372610d495a1b783a58f84b682fd0c353c0870bfe2c9e3432ab2276
SHA512: c49c72da64d5f852b2eb30158a10fd4e9a8f878762ef5ccf36f8b2d5b3445eaceeb037c1c9f04f0d27f1cd7162da828759ddb965026d7d211ad0661b3946dec4
Homepage: https://cran.r-project.org/package=swissparl
Description: CRAN Package 'swissparl' (Interface to the Webservices of the Swiss Parliament)
 Retrieves the most important data on parliamentary activities of the Swiss
 Federal Assembly via an open, machine-readable interface (see
 <https://ws.parlament.ch/odata.svc/>).

Package: r-cran-switchboard
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 935
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-switchboard_0.1-1.ca2004.1_all.deb
Size: 726044
MD5sum: 47520ac7caed7c73ba0005ad023f9f13
SHA1: f82c179d785a88a44a58b825a382231f44907d0b
SHA256: 76fa6f4e75c96373d80b3ef7554e5dd225dbb375b1354c84d4e897b246bde352
SHA512: 590c9731c7563dc0473f027cc72cef0fbf090a1069d7df54b0bc9740aae941fe2924e9a318c7db4d8a9fab85a354490de4535d300ddefe2c7c9a8ba9b984778a
Homepage: https://cran.r-project.org/package=switchboard
Description: CRAN Package 'switchboard' (An Agile Widget Engine for Real-Time, Dynamic Visualizations)
 An unsorted collection of visualization widgets rendered in
 'Tcl/Tk'<https://www.tcl.tk/> to generate agile dashboards for your
 iterative simulations. Widgets include progress bars, counters,
 eavesdroppers, injectors, switches, and sliders for dynamic manipulation and
 visualization of simulation parameters.

Package: r-cran-switchcase
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-switchcase_0.1.1-1.ca2004.1_all.deb
Size: 19148
MD5sum: 879f2a3e4534fdc65ead1d85bcb1558e
SHA1: 11ac789a4f1b169cc7e186237296f3ee68e28b69
SHA256: e9df70dd673e57dfc475df0c61d1f461319fe7ecf8ed011f17f2018477d1601a
SHA512: a161ff244b90febb709a2dda61d4beb07d723a0ab7fac10f2bd8cd1b5bd07cc1925a2978b5cfcd3a0719bf6730c9faa549cca0002e8021f78c6efef8c61d4cdc
Homepage: https://cran.r-project.org/package=switchcase
Description: CRAN Package 'switchcase' (A Simple and Flexible Switch-Case Construct for the 'R' Language)
 Provides a switch-case construct for 'R', as it is known from other
 programming languages. It allows to test multiple, similar conditions in an
 efficient, easy-to-read manner, so nested if-else constructs can be avoided.
 The switch-case construct is designed as an 'R' function that allows to
 return values depending on which condition is met and lets the programmer
 flexibly decide whether or not to leave the switch-case construct after a
 case block has been executed.

Package: r-cran-switchnpreg
Architecture: all
Version: 0.8-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-fda, r-cran-expm, r-cran-hiddenmarkov
Filename: pool/dists/focal/main/r-cran-switchnpreg_0.8-0-1.ca2004.1_all.deb
Size: 54676
MD5sum: 522575dba6e6c45b8786c98e3394b6bc
SHA1: 8d30de732f3513b0dfa20225f9e02d0e9d26c402
SHA256: a433cc8f4b7a7bd7f2d69734aaa7702412ce312fe77ad2da622210f5e5b701dc
SHA512: 79a2488f4f8664d1d60d7b3d2b19c5f025719343a04b5a13372f71394d521f641c161362cc09a60c72b341cc5f8b912a6f719e468c23d2825fb1cdf14eeaa8d5
Homepage: https://cran.r-project.org/package=switchnpreg
Description: CRAN Package 'switchnpreg' (Switching nonparametric regression models for a single curve andfunctional data)
 Functions for estimating the parameters from the latent state process and
 the functions corresponding to the J states as proposed by De Souza and
 Heckman (2013).

Package: r-cran-switchr
Architecture: all
Version: 0.14.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1184
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjsonio, r-cran-rcurl
Suggests: r-cran-biocmanager
Filename: pool/dists/focal/main/r-cran-switchr_0.14.8-1.ca2004.1_all.deb
Size: 878208
MD5sum: d6b078a2f095eb9b1e42e97d036c83df
SHA1: 52efd6d62a2e4108cc4f8eb0b5c4a0f88fe4b1e5
SHA256: 65c1bada1f99a2a8caadb0dd349cfb136841d5f28c7d749b676f466ab9862f89
SHA512: b1b0f9ed69937f146c06daaaa6bd335bc1702b6539ed5b04bbf62ab45f53b740e8466f52ccac0e7227bdd0078d16b89d174b902907b01a698e1fe05d0202a536
Homepage: https://cran.r-project.org/package=switchr
Description: CRAN Package 'switchr' (Installing, Managing, and Switching Between Distinct Sets ofInstalled Packages)
 Provides an abstraction for managing, installing, and switching between sets
 of installed R packages. This allows users to maintain multiple package
 libraries simultaneously, e.g. to maintain strict, package-version-specific
 reproducibility of many analyses, or work within a development/production
 release paradigm. Introduces a generalized package installation process
 which supports multiple repository and non-repository sources and tracks
 package provenance.

Package: r-cran-switchrgist
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-switchr, r-cran-gistr, r-cran-httpuv, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-switchrgist_0.2.5-1.ca2004.1_all.deb
Size: 120616
MD5sum: 658e4a8e472da24464623963754c2f54
SHA1: 5d8802c24bd41c7e974e466f8d7a62931aa09922
SHA256: 83379a2770c1831ef78d5d1162e04807f204ff5b064498eba870a0d84610ed17
SHA512: 4d9fc2908106fe8bdbe66a7f873c5f93090afc857eb69e1cd108221153d71abbc0644279a16647407ef796cfbb1372f7631cf9a8a29decb9e51e228b020fce17
Homepage: https://cran.r-project.org/package=switchrGist
Description: CRAN Package 'switchrGist' (Publish Package Manifests to GitHub Gists)
 Provides a simple plugin to the switchr framework which allows users to
 publish package and session manifests as gists.

Package: r-cran-swmpr
Architecture: all
Version: 2.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-zoo, r-cran-data.table, r-cran-httr, r-cran-gridextra, r-cran-oce, r-cran-dplyr, r-cran-lattice, r-cran-openair, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-suncalc, r-cran-tictoc, r-cran-tidyr, r-cran-xml
Suggests: r-cran-colorspace, r-cran-covr, r-cran-ggmap, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swmpr_2.5.2-1.ca2004.1_all.deb
Size: 3715312
MD5sum: 4049c1f43d3134249f67b8998e809845
SHA1: b734c1d239016948b840e2dd71c32467bb66790f
SHA256: f83c0fd0637c7ed810808525b2687c426dd39c81b962d959cfb2be53c9dc0448
SHA512: 8e5d451ff25d78e48847493dd94cb207b9b20584f558a4cc1d661718d67da5b80d6e8b5f0cceb5e51c17f4b7017a6418c1fe7028565dd0e4c16fb4b44ad4590e
Homepage: https://cran.r-project.org/package=SWMPr
Description: CRAN Package 'SWMPr' (Retrieving, Organizing, and Analyzing Estuary Monitoring Data)
 Tools for retrieving, organizing, and analyzing environmental data from the
 System Wide Monitoring Program of the National Estuarine Research Reserve
 System <https://cdmo.baruch.sc.edu/>. These tools address common challenges
 associated with continuous time series data for environmental decision
 making.

Package: r-cran-swmprextension
Architecture: all
Version: 2.2.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3284
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-swmpr, r-cran-envstats, r-cran-rcolorbrewer, r-cran-broom, r-cran-dplyr, r-cran-flextable, r-cran-ggimage, r-cran-ggplot2, r-cran-ggthemes, r-cran-lubridate, r-cran-magrittr, r-cran-officer, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-sf, r-cran-tidyselect, r-cran-tidyr, r-cran-curl
Suggests: r-cran-ggmap, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swmprextension_2.2.5.1-1.ca2004.1_all.deb
Size: 2863360
MD5sum: 78379c5afad3a8f964750ffc43145904
SHA1: c3b4d09a2c07caa65712b5bc80ccc73c99bca2d7
SHA256: 16577ea7672d83a03f1eb11f739b181a80559c6c960c80dba6b1968b56f5b4db
SHA512: a44e7161601d2a856948c82cd402f4a44c24b3d044894b53c096d4114c3ab061ae8349a889abf7a80c47a6aa50c6f97ebf40f9fcf5642f6b3b947ddc9f505dd4
Homepage: https://cran.r-project.org/package=SWMPrExtension
Description: CRAN Package 'SWMPrExtension' (Functions for Analyzing and Plotting Estuary Monitoring Data)
 Tools for performing routine analysis and plotting tasks with environmental
 data from the System Wide Monitoring Program of the National Estuarine
 Research Reserve System <https://cdmo.baruch.sc.edu/>. This package builds
 on the functionality of the 'SWMPr' package
 <https://cran.r-project.org/package=SWMPr>, which is used to retrieve and
 organize the data. The combined set of tools address common challenges
 associated with continuous time series data for environmental decision
 making, and are intended for use in annual reporting activities.
 References: Beck, Marcus W. (2016) <ISSN
 2073-4859><https://journal.r-project.org/archive/2016-1/beck.pdf> Rudis, Bob
 (2014)
 <https://rud.is/b/2014/11/16/moving-the-earth-well-alaska-hawaii-with-r/>.
 United States Environmental Protection Agency (2015)
 <https://cfpub.epa.gov/si/si_public_record_Report.cfm?Lab=OWOW&dirEntryId=327030>.

Package: r-cran-swpcindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-swpcindex_0.1.0-1.ca2004.1_all.deb
Size: 14264
MD5sum: 979547951331cbac9348841e8ad90347
SHA1: ae94493dab96be8a7acaf52d5b02cbf208ab37ff
SHA256: 5bc44f86c798836d6eb8809de05231cac5bbb94779eef3c90538130e2d7ee30c
SHA512: e89523efe03f852f907bc007cb3348b4f5e5422753c52ea7bcc05d3bad62bb61a6c8331b5e7bf04ad6b11298e5780f0fd71b91cdba6d4a3133de11ca5572cf63
Homepage: https://cran.r-project.org/package=SwPcIndex
Description: CRAN Package 'SwPcIndex' (Computation of Survey Weighted PC Based Composite Index)
 An index is created using a mathematical model that transforms
 multi-dimensional variables into a single value. These variables are often
 correlated, and while PCA-based indices can address the issue of
 multicollinearity, they typically do not account for survey weights, which
 can lead to inaccurate rankings of survey units such as households,
 districts, or states. To resolve this, the current package facilitates the
 development of a principal component analysis-based composite index by
 incorporating survey weights for each sample observation. This ensures the
 generation of a survey-weighted principal component-based normalized
 composite index. Additionally, the package provides a normalized principal
 component-based composite index and ranks the sample observations based on
 the values of the composite indices.  For method details see, Skinner, C.
 J., Holmes, D. J. and Smith, T. M. F. (1986)
 <DOI:10.1080/01621459.1986.10478336>, Singh, D., Basak, P., Kumar, R. and
 Ahmad, T. (2023) <DOI:10.3389/fams.2023.1274530>.

Package: r-cran-swtools
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-zoo, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-tibble, r-cran-forcats, r-cran-stringr, r-cran-rlang, r-cran-rmarkdown, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggspatial, r-cran-prettymapr, r-cran-magrittr, r-cran-hydrotsm, r-cran-jsonlite, r-cran-sf, r-cran-lubridate, r-cran-segmented
Filename: pool/dists/focal/main/r-cran-swtools_1.1.0-1.ca2004.1_all.deb
Size: 245036
MD5sum: fcb070a9139a881e6c9d3ad175521376
SHA1: f53ab76203f5279b989fbccc4f9baa4c16f97a4b
SHA256: 665fb580bad543c90192682d7a7d9ecee7420b7e192b51352c10b085e5934955
SHA512: 03065354628f65357b35320875b69605ab6acc8131e2e2adc136ab0e4b7f978ce1581bb1488ae869b78be66e26a6429cce7b32212f15dbe3df3ae3d0938e69be
Homepage: https://cran.r-project.org/package=SWTools
Description: CRAN Package 'SWTools' (Helper Tools for Australian Hydrologists)
 Functions to speed up work flow for hydrological analysis.  Focused on
 Australian climate data (SILO climate data), hydrological models (eWater
 Source) and in particular South Australia (<https://water.data.sa.gov.au>
 hydrological data).

Package: r-cran-sybil
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2981
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-lattice
Suggests: r-cran-glpkapi, r-cran-lpsolveapi
Filename: pool/dists/focal/main/r-cran-sybil_2.2.0-1.ca2004.1_all.deb
Size: 2115320
MD5sum: e152322ec32bf8cdec16d43319f391c7
SHA1: c815f82d87fbd2c1dcbecea5f49e0cabb0170ea5
SHA256: a1ac748702c51a50ce3c40134d94226f1023209097eda138d6022cae43966647
SHA512: be36f4bea4d84633b013b30d9108a12da337e1bf8560a4cd59bc14783e41d38cc10964c01f80ace8e8861516cb9957a592a69e0565d1b752c13686ffaf502bb9
Homepage: https://cran.r-project.org/package=sybil
Description: CRAN Package 'sybil' (Efficient Constrained Based Modelling)
 This Systems Biology Package (Gelius-Dietrich et. al. (2012)
 <doi:10.1186/1752-0509-7-125>) implements algorithms for constraint based
 analyses of metabolic networks, e.g. flux-balance analysis (FBA),
 minimization of metabolic adjustment (MOMA), regulatory on/off minimization
 (ROOM), robustness analysis and flux variability analysis. The package is
 easily extendable for additional algorithms. Most of the current LP/MILP
 solvers are supported via additional packages.

Package: r-cran-sybilccfba
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil, r-cran-matrix
Suggests: r-cran-glpkapi
Filename: pool/dists/focal/main/r-cran-sybilccfba_3.0.1-1.ca2004.1_all.deb
Size: 1946672
MD5sum: 43a08aa79c3e552b0662688cf71673ae
SHA1: 70e08a3cc32d246df0a4fa7192b346640eb03526
SHA256: 2f5ec474c3fc4baabd56c27a6e74bcf67ec7f918ffe74c21f3938e7536eb1e56
SHA512: 78e459f722c3de0c463955c22e1dda93e94f72f4b50f37c8cd55fc36bff3d3fdbcb3f5244f8a027d7dcc12ea31ce093d96b536e61686a963ea6b3ca915a69b13
Homepage: https://cran.r-project.org/package=sybilccFBA
Description: CRAN Package 'sybilccFBA' (Cost Constrained Flux Balance Analysis (ccFBA): MetabOlicModeling with ENzyme kineTics (MOMENT))
 Different techniques of cost constrained flux balance analysis.  1-
 MetabOlic Modeling with ENzyme kineTics 'MOMENT' which uses enzyme kinetic
 data and enzyme molecular weights to constrain flux balance analysis(FBA)
 and it is described in Adadi, R., Volkmer, B., Milo, R., Heinemann, M., &
 Shlomi, T. (2012). Prediction of Microbial Growth Rate versus Biomass Yield
 by a Metabolic Network with Kinetic Parameters, 8(7).
 <doi:10.1371/journal.pcbi.1002575>.  2- an improvement of 'MOMENT' that
 considers multi-functional enzymes 'ccFBA'.  Described in Desouki,
 Abdelmoneim. Algorithms for improving the predictive power of flux balance
 analysis. PhD dissertation, 2016.  FBA is a mathematical technique to find
 fluxes in metabolic models at steady state.  It is described in Orth, J.D.,
 Thiele, I. and Palsson, B.O.  What is flux balance analysis? Nat. Biotech.
 28, 245-248(2010).

Package: r-cran-sybilcyclefreeflux
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil, r-cran-matrix, r-cran-mass
Suggests: r-cran-glpkapi
Filename: pool/dists/focal/main/r-cran-sybilcyclefreeflux_2.0.2-1.ca2004.1_all.deb
Size: 264640
MD5sum: 504c434825aa476858a934cb71aaacbf
SHA1: 0872c4bc19d7229db33746a504ac43357c6cb402
SHA256: 71c76d925bb43a54d8f3087f1b38b82617b01f1a5da6ec13148ae59de0723e5d
SHA512: 162e5b16b811c614cefbd885c85b4543af5dbb58bf988becb59fb9d148554acfaf3f82caf7f41fdbbb2cb07669f3fbeb546e304a5efe58c8f250062c789d8ee8
Homepage: https://cran.r-project.org/package=sybilcycleFreeFlux
Description: CRAN Package 'sybilcycleFreeFlux' (Cycle-Free Flux Balance Analysis (CycleFreeFlux))
 Implement cycle-Free flux balance analysis (CycleFreeFlux), cycle-free flux
 variability, and Random Sampling of solution space.  Desouki, A. A., Jarre,
 F., Gelius-Dietrich, G., & Lercher, M. J. (2015). CycleFreeFlux: efficient
 removal of thermodynamically infeasible loops from flux distributions.
 Bioinformatics, 31(13), 2159-2165. <doi:10.1093/bioinformatics/btv096>.
 Flux balance analysis is a technique to find fluxes in metabolic models at
 steady state.  It is described in Orth, J.D., Thiele, I. and Palsson, B.O.
 What is flux balance analysis? Nat. Biotech. 28, 245-248 (2010).

Package: r-cran-sybildynfba
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sybil
Filename: pool/dists/focal/main/r-cran-sybildynfba_1.0.2-1.ca2004.1_all.deb
Size: 58732
MD5sum: 53409a0c13b0273a24ee8fd7d58569f5
SHA1: 7f98ead2d61713fc52ca5f2bc90f4aa60cff8af4
SHA256: 1ada356af7a1230cf2bdb1665654bb0496335be700d51dac1dbed8fc003a2a90
SHA512: fd7e307ed45f81e8785a42f3014607e34c720b481e1d2b82d9b2691a967ff3493aa9b056a4de61a09d2c3b3285307c91774dd0ff9b286af6223cd1af3fa23a52
Homepage: https://cran.r-project.org/package=sybilDynFBA
Description: CRAN Package 'sybilDynFBA' (Dynamic FBA : Dynamic Flux Balance Analysis)
 Implements dynamic FBA technique proposed by Varma et al 1994.

Package: r-cran-syllabifyr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-syllabifyr_0.1.1-1.ca2004.1_all.deb
Size: 37732
MD5sum: cf0d46bb4ea08d4a3ffdc184e9ca8fc0
SHA1: dee287092c85493272e77ba87796f5b293573910
SHA256: c576bd6995fafc5961262b684d72d6df6596159a4b26a2b05fd62ebc62b6c720
SHA512: d4ceb9da555ece7bb6e04bae80960b18e36e95650c7afdb34eb8bbe4bd4a6bf46e70e5a383c25c041c09bb569fa329c2e6a2f2d29b2841e4d6dfefcf54e7412e
Homepage: https://cran.r-project.org/package=syllabifyr
Description: CRAN Package 'syllabifyr' (Syllabifier for CMU Dictionary Transcriptions)
 Implements tidy syllabification of transcription.  Based on @kylebgorman's
 'python' implementation <https://github.com/kylebgorman/syllabify>.

Package: r-cran-syllogi
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-syllogi_1.0.4-1.ca2004.1_all.deb
Size: 424548
MD5sum: 447ea19bf873a3ecede0cff61364e915
SHA1: 363c49fa0da595dfe80bdf1c2e069b31be18cd6f
SHA256: 54e77e4e2497db4e2b20a292e8d12881394834476098789d9e607d26442d6e04
SHA512: cefac3bd4f3c59b823e821fbce33169c3c6af43e0d20a61e4035d312a9a7a09199b23f9cc16e2610278cebd7f978262a220fbae1f761a18c25cf4709bfff2db1
Homepage: https://cran.r-project.org/package=syllogi
Description: CRAN Package 'syllogi' (Collection of Data Sets for Teaching Purposes)
 Collection (syllogi in greek) of real and fictitious data sets for teaching
 purposes.  The datasets were manually entered by the author from the
 respective references as listed in the individual dataset documentation.
 The fictions datasets are the creation of the author, that he has found
 useful for teaching statistics.

Package: r-cran-sylly.en
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sylly
Filename: pool/dists/focal/main/r-cran-sylly.en_0.1-3-1.ca2004.1_all.deb
Size: 276776
MD5sum: 9f66d74c97c112d765b062c392498b89
SHA1: 5373705b569646c9a96298bf8734f7f083c281d8
SHA256: 876599c663e3a7c1358a7b054c8b55daad78e28610f991b108712d0b924770b4
SHA512: 21dfd5bc6f74a88a62b4647743ac1e143af9daa310b5bb7598d816be61ed3ea1a12ba17016dccbac734adaa0091c1a59b86dbc0d1c5ec5080d4ee201ca52a106
Homepage: https://cran.r-project.org/package=sylly.en
Description: CRAN Package 'sylly.en' (Language Support for 'sylly' Package: English)
 Adds support for the English language to the 'sylly' package. Due to some
 restrictions on CRAN, the full package sources are only available from the
 project homepage. To ask for help, report bugs, suggest feature
 improvements, or discuss the global development of the package, please
 consider subscribing to the koRpus-dev mailing list
 (<http://korpusml.reaktanz.de>).

Package: r-cran-sylly
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-sylly.en
Filename: pool/dists/focal/main/r-cran-sylly_0.1-6-1.ca2004.1_all.deb
Size: 260652
MD5sum: 8ee740205e82d4bd7ea4ab1dcccd0721
SHA1: a15d2db6639f1b3355b7f349dfc42bcc131b070d
SHA256: c01cd5fe729b13e0cea7ff818cb914eb1a3fe719cdc93f3760c85e531326e150
SHA512: b5ce4eaa1e7d129c33ce6261e0e442374370a90613383d9ec41c60a4d5b7f422733ec7cba042a3c030668f4b6bb3568838a06baefd1471feddf2e950f38db2c8
Homepage: https://cran.r-project.org/package=sylly
Description: CRAN Package 'sylly' (Hyphenation and Syllable Counting for Text Analysis)
 Provides the hyphenation algorithm used for 'TeX'/'LaTeX' and similar
 software, as proposed by Liang (1983, <https://tug.org/docs/liang/>). Mainly
 contains the function hyphen() to be used for hyphenation/syllable counting
 of text objects. It was originally developed for and part of the 'koRpus'
 package, but later released as a separate package so it's lighter to have
 this particular functionality available for other packages. Support for
 various languages needs be added on-the-fly or by plugin packages
 (<https://undocumeantit.github.io/repos/>); this package does not include
 any language specific data. Due to some restrictions on CRAN, the full
 package sources are only available from the project homepage. To ask for
 help, report bugs, request features, or discuss the development of the
 package, please subscribe to the koRpus-dev mailing list
 (<http://korpusml.reaktanz.de>).

Package: r-cran-sym.arma
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-sym.arma_1.0-1.ca2004.1_all.deb
Size: 139548
MD5sum: 0d4543c1f47ec31d7ceb00a041a1a262
SHA1: 8fa9062ff4183d4c0246999714708055ade29d0f
SHA256: 992f2ec424c9830e259366f6ede1c13b1eaa86874e2aa155d4cfc49db40f44c2
SHA512: 7f6b764edd481d5c57cf42b5a1d3d80ab35698fccf5315c9fecb94e0de2a9a29b5abc3108f33f4fff07ed3a8fc6ce61e820719bdb159986a8044458224d04ed8
Homepage: https://cran.r-project.org/package=sym.arma
Description: CRAN Package 'sym.arma' (Autoregressive and Moving Average Symmetric Models)
 Functions for fitting the Autoregressive and Moving Average Symmetric Model
 for univariate time series introduced by Maior and Cysneiros (2018),
 <doi:10.1007/s00362-016-0753-z>. Fitting method: conditional maximum
 likelihood estimation. For details see: Wei (2006), Time Series Analysis:
 Univariate and Multivariate Methods, Section 7.2.

Package: r-cran-symbol.equation.gpt
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-shiny, r-cran-nextgenshinyapps, r-cran-r2symbols, r-cran-shinystoreplus, r-cran-rstudioapi, r-cran-markdown
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-symbol.equation.gpt_1.1.4-1.ca2004.1_all.deb
Size: 69200
MD5sum: 73e337451e29287f8bf9f31ee4b4aea8
SHA1: 11376e7433560a2f7161c0b208567b2986e22e4b
SHA256: e79750ad80fac9907665a01df028feb4c562f47bd851afaedc0aa4cdc9c53513
SHA512: 5b5db1deb3f59a5dc3a2d340158c52f03def2b6088353bace4d02743e70bd65a3ee02dd8dcb0393097a170785e207df5d28c52a70b89aed3c044489979f3902f
Homepage: https://cran.r-project.org/package=symbol.equation.gpt
Description: CRAN Package 'symbol.equation.gpt' (Simple User Interface to Build Equations and Add Symbols)
 Powerful user interface for adding symbols, smileys, arrows, building
 mathematical equations using 'LaTeX' or 'r2symbols'. Built for use in
 development of 'Markdown' and 'Shiny' Outputs.

Package: r-cran-symbolicda
Architecture: all
Version: 0.7-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2464
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-clustersim, r-cran-xml, r-cran-shapes, r-cran-e1071, r-cran-ade4, r-cran-cluster, r-cran-rsda
Filename: pool/dists/focal/main/r-cran-symbolicda_0.7-2-1.ca2004.1_all.deb
Size: 1771820
MD5sum: 988b90488ef8f8c06be31cd3470f5ce8
SHA1: 125d11d3263ec6185617a96aebc9f6803d93c1d0
SHA256: 1d145e90825e0f4f45d2e4efdc45d2844cef653fd0cab5ad22a4294e3a01afe8
SHA512: 7715b76778420fb36cada73e78be422c7487c5beceb9520ddff3954e4c716fad61f5d1aca1cd794d419efc54b015c2550cfa9c1fa765f6585e4684ae573919f0
Homepage: https://cran.r-project.org/package=symbolicDA
Description: CRAN Package 'symbolicDA' (Analysis of Symbolic Data)
 Symbolic data analysis methods: importing/exporting data from ASSO XML
 Files, distance calculation for symbolic data (Ichino-Yaguchi, de Carvalho
 measure), zoom star plot, 3d interval plot, multidimensional scaling for
 symbolic interval data, dynamic clustering based on distance matrix, HINoV
 method for symbolic data, Ichino's feature selection method, principal
 component analysis for symbolic interval data, decision trees for symbolic
 data based on optimal split with bagging, boosting and random forest
 approach (+visualization), kernel discriminant analysis for symbolic data,
 Kohonen's self-organizing maps for symbolic data, replication and profiling,
 artificial symbolic data generation.  (Milligan, G.W., Cooper, M.C. (1985)
 <doi:10.1007/BF02294245>, Breiman, L. (1996), <doi:10.1007/BF00058655>,
 Hubert, L., Arabie, P. (1985), <doi:10.1007%2FBF01908075>, Ichino, M., &
 Yaguchi, H. (1994), <doi:10.1109/21.286391>, Rand, W.M. (1971)
 <doi:10.1080/01621459.1971.10482356>, Breckenridge, J.N. (2000)
 <doi:10.1207/S15327906MBR3502_5>, Groenen, P.J.F, Winsberg, S., Rodriguez,
 O., Diday, E. (2006) <doi:10.1016/j.csda.2006.04.003>, Dudek, A. (2007),
 <doi:10.1007/978-3-540-70981-7_4>).

Package: r-cran-symbolicdeterminants
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-arrangements, r-cran-fs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-symbolicdeterminants_2.0.0-1.ca2004.1_all.deb
Size: 92628
MD5sum: 413315c14fbbadf6710abda265fda182
SHA1: bb21e80ab609829c953c851013901d527f852058
SHA256: 74726b558f3cd3e3554d89eb4a0a0fb7cdf31c279848322c58f845c3592fa85c
SHA512: de87bc04530a5a80fe38cf20e3f245e8ee864296936cf34d1bcc94a4de4fde9c61edad3e8a08e7c1860fefd6e5afc60d8acdda80fba8d3f21720be8cd7bcd639
Homepage: https://cran.r-project.org/package=SymbolicDeterminants
Description: CRAN Package 'SymbolicDeterminants' (Symbolic Representation of Matrix Determinant)
 Creates a numeric guide for writing the formula for the determinant of a
 square matrix (a detguide) as a function of the elements of the matrix and
 writes out that formula, the symbolic representation.

Package: r-cran-symbols
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shape
Filename: pool/dists/focal/main/r-cran-symbols_1.1-1.ca2004.1_all.deb
Size: 40156
MD5sum: 0a72be75e8ec7699db020a7f86570c1f
SHA1: aa392f18ace4fc4c9e08f75e0398879c2c419a58
SHA256: f97526592968f96f5d60824bf81fbd9f0efa4e66bf3ae68997775206e926b9a0
SHA512: f4da8adf8eaa77156b682ed9d80d2cc9b635c34e342e3faed8888309fc8434c9717ac49be9cfc4e2ee24191356ba6f77ca5d996a45e65d41546e723352ee2c34
Homepage: https://cran.r-project.org/package=symbols
Description: CRAN Package 'symbols' (Symbol plots)
 Package that implements various symbol plots (bars, profiles, stars,
 Chernoff faces, color icons, stick figures).

Package: r-cran-symdmatrix
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-linkedmatrix, r-cran-ff, r-cran-bit
Suggests: r-cran-bgdata, r-cran-bedmatrix, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-symdmatrix_2.1.1-1.ca2004.1_all.deb
Size: 69516
MD5sum: 6847130f9f707df7b1872bb00cab3e0e
SHA1: 77bc9da0fe25df5407bad7945eec7b44c65c3f50
SHA256: 7b6d7376d2de8509f5dc611223b6acfd58ba62932b65ec064823f697cd3357a0
SHA512: 855d02b33047b4e1f5330ce934d1b3fbbc7338773dd32a939735fb0708f7fec3aab4c89fccf4f55160223aef011f350794b1538ab30e5b28c8c814ac4f886ace
Homepage: https://cran.r-project.org/package=symDMatrix
Description: CRAN Package 'symDMatrix' (Partitioned Symmetric Matrices)
 A matrix-like class to represent a symmetric matrix partitioned into
 file-backed blocks.

Package: r-cran-symmoments
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-cubature, r-cran-combinat, r-cran-multipol
Suggests: r-cran-ape, r-cran-mpoly
Filename: pool/dists/focal/main/r-cran-symmoments_1.2.1-1.ca2004.1_all.deb
Size: 528172
MD5sum: 4225d8436d8b37a5e367e516613945a8
SHA1: 43a3a259f412961c2522272d6ed1fd8577051a37
SHA256: 9de28b918e393f8a62ec6a081e62d2e50937eebf34b443f7976ded1fbb3e3775
SHA512: 086e90f32a425b47577662d8b2a69fb92bb89987ec8be09b89e029e1b09cff271dc72f00084fe899177ec43d364ae977d23e20b9f0e04a3162b10c645d65528f
Homepage: https://cran.r-project.org/package=symmoments
Description: CRAN Package 'symmoments' (Symbolic Central and Noncentral Moments of the MultivariateNormal Distribution)
 Symbolic central and non-central moments of the multivariate normal
 distribution. Computes a standard representation, LateX code, and values at
 specified mean and covariance matrices.

Package: r-cran-symptomcheckr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-ggpubr, r-cran-tidyr, r-cran-irr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-symptomcheckr_0.1.3-1.ca2004.1_all.deb
Size: 121432
MD5sum: 3e2bba61e228f761a0ab9a23e359b4ca
SHA1: 6d71501159cddc3f4bcc3ab3a205fd2c5b4dea3e
SHA256: 36edca5911fa389c67d018d37591a8911feb724178996479eaf19b200f5d9437
SHA512: c3decb2322673c584dea369765ba6c25b55332e33a14f6ae774ffa8e0d4379e68e1c250f202a3bafd3e9f8d27fb932564502860a5fc437197e30d80a29774cae
Homepage: https://cran.r-project.org/package=symptomcheckR
Description: CRAN Package 'symptomcheckR' (Analyzing and Visualizing Symptom Checker Performance)
 Easily analyze and visualize the performance of symptom checkers. This
 package can be used to gain comprehensive insights into the performance of
 single symptom checkers or the performance of multiple symptom checkers. It
 can be used to easily compare these symptom checkers across several metrics
 to gain an understanding of their strengths and weaknesses. The metrics are
 developed in Kopka et al. (2023) <doi:10.1177/20552076231194929>.

Package: r-cran-symsem
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-caracas, r-cran-openmx, r-cran-metasem
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-symsem_0.4-1.ca2004.1_all.deb
Size: 33656
MD5sum: ca0c842ac940225a0f7f4a61e14dc6d3
SHA1: 8937a4dcdaf0c43bf2274047fec70b3d94004ba3
SHA256: 2dba0ec3b7a2740fa6a39561804f630b5b0ac7b671c378066b8f33c804c7bdb8
SHA512: 506a2b887f6610ab6ce497a1f204675f1a7291ec2bc6113dbf72a3e851ae00c0a6936e2a384ac8d0f600dff3d5e31baf4fa18839a3e1006fd5dad6b3fc7ce2d8
Homepage: https://cran.r-project.org/package=symSEM
Description: CRAN Package 'symSEM' (Symbolic Computation for Structural Equation Models)
 A collection of functions for symbolic computation using the 'caracas'
 package for structural equation models and other statistical analyses. Among
 its features is the ability to calculate the model-implied covariance (and
 correlation) matrix and the sampling covariance matrix of variable functions
 using the delta method.

Package: r-cran-syn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3504
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-glue, r-cran-covr, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-syn_0.1.0-1.ca2004.1_all.deb
Size: 3501472
MD5sum: 119e7be3785594f8e66f9d328fb5c893
SHA1: d748b3dd17526901d46884ede63ddf98abf291ca
SHA256: eb6a25da9d464e770a2f2b867e139880b5ced006b5dc6be0169242ba924109d0
SHA512: fb0d39ea3ae2175b0bb49137ac118f18c928b2218e9707535440a4c25ae1cf580f51061bee6acdc7f013e138414cf8ba08926416e67ad631bc5012e414ee6cef
Homepage: https://cran.r-project.org/package=syn
Description: CRAN Package 'syn' (Creates Synonyms From Target Words)
 Generates synonyms from a given word drawing from a synonym list from the
 'moby' project <http://moby-thesaurus.org/>.

Package: r-cran-synchrony
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-synchrony_0.3.8-1.ca2004.1_all.deb
Size: 163240
MD5sum: d3cd016efd6ea2c51ecd6e1a0784c354
SHA1: 580ed8bb6b44cec062b9305d976539cc052f4fef
SHA256: 6bd03019ecdcbf83a1b6b54d24ae4096a8b791a869c367a765d587603dd5ccd5
SHA512: 11236276cdfa3d24f180a5a9d69d701301fdf8775891a50a5b9c7eab7c32fa6964292fdb724b95b70a78b1a9e66ddcce964f89d577105ba8cb544c502902fd19
Homepage: https://cran.r-project.org/package=synchrony
Description: CRAN Package 'synchrony' (Methods for Computing Spatial, Temporal, and SpatiotemporalStatistics)
 Methods for computing spatial, temporal, and spatiotemporal statistics as
 described in Gouhier and Guichard (2014) <doi:10.1111/2041-210X.12188>.
 These methods include empirical univariate, bivariate and multivariate
 variograms; fitting variogram models; phase locking and synchrony analysis;
 generating autocorrelated and cross-correlated matrices.

Package: r-cran-syncmove
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-syncmove_0.1-0-1.ca2004.1_all.deb
Size: 64464
MD5sum: 2852a16529b1b198ae2959b067e1d031
SHA1: ee3450ded30b56a1c097e03bce192457efcd9b71
SHA256: 4c814b45bb9e6fad21f5e74cadf7c17d29d39cee0a31b289156c9af3b87ba858
SHA512: d26385aedf6c0bd0658fd8b8e317babd615a739d7e4df950f94704ff2e8dfd6da4eb07602090915ba4c3ab3b4089bb142c93db0318bfd5f849ea7a804f4bdb31
Homepage: https://cran.r-project.org/package=SyncMove
Description: CRAN Package 'SyncMove' (Subsample Temporal Data to Synchronal Events and Compute the MCI)
 The function 'syncSubsample' subsamples temporal data of different entities
 so that the result only contains synchronal events. The function 'mci'
 calculates the Movement Coordination Index (MCI, see reference on help page
 for function 'mci') of a data set created with the function 'syncSubsample'.

Package: r-cran-syncsa
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vegan, r-cran-fd, r-cran-permute, r-cran-rcpparmadillo
Filename: pool/dists/focal/main/r-cran-syncsa_1.3.4-1.ca2004.1_all.deb
Size: 192764
MD5sum: 7663bf465bc8aeb930dc00175e84b9cb
SHA1: a5ba9b3269fb05c7a85ee5fb5afbb9582ae90be7
SHA256: 25b56e1c85ef6b8b1cd11b5fe5ceb8592159a831e86a5b14c3cebcd3b54dc7b8
SHA512: b9a218d38ed9361582e79b9f413c00b21496f78e118afb4a511aea008fbb5df2f3a0ec04bbbddf59b09a8bdfe684b72939a2c0dffdfc3e2460edd3549d1293fc
Homepage: https://cran.r-project.org/package=SYNCSA
Description: CRAN Package 'SYNCSA' (Analysis of Functional and Phylogenetic Patterns inMetacommunities)
 Analysis of metacommunities based on functional traits and phylogeny of the
 community components. The functions that are offered here implement for the
 R environment methods that have been available in the SYNCSA application
 written in C++ (by Valerio Pillar, available at
 <http://ecoqua.ecologia.ufrgs.br/SYNCSA.html>).

Package: r-cran-syndi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mice, r-cran-magrittr, r-cran-dplyr, r-cran-stackimpute, r-cran-arm, r-cran-boot, r-cran-broom, r-cran-mvtnorm, r-cran-randomforest, r-cran-mass, r-cran-knitr
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-syndi_0.1.0-1.ca2004.1_all.deb
Size: 131340
MD5sum: c81aa44afca716694b25ce9770e090b4
SHA1: fc2c6fd7183c17d8679aa1676f98ab8b1e9de3b2
SHA256: 06b4240eceda74eff3eea123278dfdc7e22f44c2da66221829187c204df9320a
SHA512: b7da672dd65862444b859ad6442f7e1b059ff67abfa640ee31985459a4673bc4e3b5dd987a9ca479ff501fd1b73c4947e3ba68999614310125341360deab9266
Homepage: https://cran.r-project.org/package=SynDI
Description: CRAN Package 'SynDI' (Synthetic Data Integration)
 Regression inference for multiple populations by integrating summary-level
 data using stacked imputations. Gu, T., Taylor, J.M.G. and Mukherjee, B.
 (2021) A synthetic data integration framework to leverage external
 summary-level information from heterogeneous populations <arXiv:2106.06835>.

Package: r-cran-synergylmm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4289
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-ggplot2, r-cran-cowplot, r-cran-nlme, r-cran-nlmeu, r-cran-fbasics, r-cran-car, r-cran-mass, r-cran-performance, r-cran-lattice, r-cran-marginaleffects, r-cran-clubsandwich
Suggests: r-cran-lme4, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-synergylmm_1.0.1-1.ca2004.1_all.deb
Size: 3358200
MD5sum: 174d930141ab118108edc7255034ed65
SHA1: 177f75fa83bb51e2e60c68fcb2a98b2c41c9f7d9
SHA256: 763631d2c50e20f3fe15fc79d1ec1560b25ab7318f2f33fac2967ddc0e09287b
SHA512: 741ce93737f19f810561a7a82a738714d27464d4a6e2c109962ab748e7551d96ba36ffa57706ce974d6f986807d045365c7493784cf00e0eb9abdd1af9ff7e8e
Homepage: https://cran.r-project.org/package=SynergyLMM
Description: CRAN Package 'SynergyLMM' (Statistical Framework for in Vivo Drug Combination Studies)
 A framework for evaluating drug combination effects in preclinical in vivo
 studies.  'SynergyLMM' provides functions to analyze longitudinal tumor
 growth experiments using linear mixed-effects models, perform time-dependent
 analyses of synergy and antagonism, evaluate model diagnostics and
 performance, and assess both post-hoc and a priori statistical power.  The
 calculation of drug combination synergy follows the statistical framework
 provided by Demidenko and Miller (2019, <doi:10.1371/journal.pone.0224137>).
 The implementation and analysis of linear mixed-effect models is based on
 the methods described by Pinheiro and Bates (2000, <doi:10.1007/b98882>),
 and Gałecki and Burzykowski (2013, <doi:10.1007/978-1-4614-3900-4>).

Package: r-cran-synfd
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-l1pack, r-cran-rdpack
Suggests: r-cran-mass, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-synfd_0.1.3-1.ca2004.1_all.deb
Size: 61772
MD5sum: 9b23fdaeae9e31d5254573f551e26ded
SHA1: bdf0b68f0b2ae79f06c4088090ca2760ad08488c
SHA256: 516cd756699289db204f44ba0b11bb736cd46311a9f93e72be5b192e1ced63b6
SHA512: 03ba3c32abc712c3d65e1efae828d25e43dda7a83455b2e6158f8e1bfb24a4e9027ed1558c4b48dac26c36d5bc0d38ab55ede9d5f4f85e354fa75c77139d83db
Homepage: https://cran.r-project.org/package=synfd
Description: CRAN Package 'synfd' (Synthesize Dense or Sparse Functional Data/Snippets)
 Provides a flexible and simple tool to synthesize regular or irregular
 functional data and snippets to facilitate research or analysis of
 functional data.

Package: r-cran-synoptreg
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5082
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-sf, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-metr, r-cran-raster, r-cran-rncep, r-cran-stringr, r-cran-tidyr, r-cran-tibble, r-cran-kohonen
Suggests: r-cran-maptools, r-cran-ncdf4, r-cran-rgeos, r-cran-udunits2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-synoptreg_1.2.1-1.ca2004.1_all.deb
Size: 4701512
MD5sum: a11a8e0ad7a0493866ec3fb5804093e6
SHA1: 0a44a74082604fa68245e4b00c973b704ede5d26
SHA256: 4e91258bdac9ab707aa489ba0af7814f6ad9e76b8941b87c184802e1147db320
SHA512: f01513564286f807bea528c13efe1155ae89d269935980ccbcd4e2ca932a8ad9e7243a04a701608291c842e485a9c604ecd20bc6b50a1b92a4d3c57769a70f4b
Homepage: https://cran.r-project.org/package=synoptReg
Description: CRAN Package 'synoptReg' (Synoptic Climate Classification and Spatial Regionalization ofEnvironmental Data)
 Set of functions to compute different types of synoptic classification
 methods and for analysing their effect on environmental variables. More
 information about the methods used in Lemus-Canovas et al. 2019
 <DOI:10.1016/j.atmosres.2019.01.018>, Martin-Vide et al. 2008
 <DOI:10.5194/asr-2-99-2008>, Jenkinson and Collison 1977.

Package: r-cran-synr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 601
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-dbscan
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-synr_1.0.0-1.ca2004.1_all.deb
Size: 401128
MD5sum: 8ca20c7f36726ca8ae57555c6d04dc22
SHA1: 3f47f5de446f086455542b3c16b9961486aa92d2
SHA256: 212bea3ee59f11b9f0db40738fcff2583c11761ba4a52885a196d78d8590fecb
SHA512: d4b445f69f6ce554af46dbd35c55fcd5865ce111103ab76aa9e2164e9e3a45ab35144e8addec7e5b185ba5829b9972b552964b3b72fa68d9864f330be3121ab5
Homepage: https://cran.r-project.org/package=synr
Description: CRAN Package 'synr' (Explore and Process Synesthesia Consistency Test Data)
 Explore synesthesia consistency test data, calculate consistency scores, and
 classify participant data as valid or invalid.

Package: r-cran-synrnaseqnet
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-parmigene, r-cran-genkern, r-cran-igraph, r-cran-kernsmooth
Filename: pool/dists/focal/main/r-cran-synrnaseqnet_1.0-1.ca2004.1_all.deb
Size: 112932
MD5sum: 7ba9ba963c1867f4df5bb28c4aedd5bf
SHA1: a6f156320d1356241748ed51ed2841bca717be71
SHA256: 772eb85b26d8ceaf747f8e073b23a13335cf2295cbec4a9b64c8df4968449662
SHA512: e23ce416394c45b7a5929975df754b7431b27f6ab12185e67d8eea7d071ddc1d853f4d807c667c0020c8be49a77dc89ecc513265f5bf70c0be7d361133b39570
Homepage: https://cran.r-project.org/package=synRNASeqNet
Description: CRAN Package 'synRNASeqNet' (Synthetic RNA-Seq Network Generation and Mutual InformationEstimates)
 It implements various estimators of mutual information, such as the maximum
 likelihood and the Millow-Madow estimator, various Bayesian estimators, the
 shrinkage estimator, and the Chao-Shen estimator. It also offers wrappers to
 the kNN and kernel density estimators. Furthermore, it provides various
 index of performance evaluation such as precision, recall, FPR, F-Score,
 ROC-PR Curves and so on. Lastly, it provides a brand new way of generating
 synthetic RNA-Seq Network with known dependence structure.

Package: r-cran-syntaxr
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-covr, r-cran-haven, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-syntaxr_0.8.0-1.ca2004.1_all.deb
Size: 23324
MD5sum: 10667d94a5e748fe93aef8290fa130cb
SHA1: 6fb373dfa199500326d28f775e054e7eab4759ab
SHA256: e6d20b206ac93285670ce566bb7a928934d15ecd324cf14f1389600c0811a899
SHA512: fa7d0aebc5393eb745d8a8313d1b4eb03e3a50741cde5c5ea695b73c3e72307378204bb953526f93e89f5c9c0ec9c1947d4732af512bad10c054ffe58aa19665
Homepage: https://cran.r-project.org/package=syntaxr
Description: CRAN Package 'syntaxr' (An 'SPSS' Syntax Generator for Multi-Variable Manipulation)
 A set of functions for generating 'SPSS' syntax files from the R
 environment.

Package: r-cran-syntenyplotter
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2862
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-syntenyplotter_1.0.0-1.ca2004.1_all.deb
Size: 2341464
MD5sum: 59a63b61f13cefad9c83af2733fad578
SHA1: b7110e2199d3a6eebfb9b10fc81f3c4495e79bab
SHA256: 0d52bb27d41c922a935389d9c1405863f099492f4b7c5ed470c88cf8971f203f
SHA512: a17db51ee299ce2fe071288208ce25898ce3b277e6c6e7ea22744e9502706f063c4d424aaab5bfcd1e0e126db85ab783a13c201d1815d4b418f3a31d95535b0c
Homepage: https://cran.r-project.org/package=syntenyPlotteR
Description: CRAN Package 'syntenyPlotteR' (Genome Synteny Visualization)
 Draw syntenic relationships between genome assemblies.  There are 3
 functions which take a tab delimited file containing alignment data for
 syntenic blocks between genomes to produce either a linear alignment plot,
 an evolution highway style plot, or a painted ideogram representing syntenic
 relationships.  There is also a function to convert alignment data in the
 DESCHRAMBLER/inferCAR format to the required data structure.

Package: r-cran-synth
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kernlab, r-cran-optimx, r-cran-rgenoud
Filename: pool/dists/focal/main/r-cran-synth_1.1-8-1.ca2004.1_all.deb
Size: 131372
MD5sum: 1b712e29710709245d44bfece7bd5bc6
SHA1: 9b819ff77038b11cd732cc94908fc869f64baae6
SHA256: 9b9e03c1b3b9016bbe2ea39008dd3d3eafcf439f4c4fd1ef8937afefcd06a644
SHA512: 576d0da6fc49128ed6eaed584a50e4d5063aa7a502c741f0abe0398fc26c78115c2d56a516245ca958540f145c47991054b3f36e1a9173a9c04e2cd502808ea1
Homepage: https://cran.r-project.org/package=Synth
Description: CRAN Package 'Synth' (Synthetic Control Group Method for Comparative Case Studies)
 Implements the synthetic control group method for comparative case studies
 as described in Abadie and Gardeazabal (2003) and Abadie, Diamond, and
 Hainmueller (2010, 2011, 2014). The synthetic control method allows for
 effect estimation in settings where a single unit (a state, country, firm,
 etc.) is exposed to an event or intervention. It provides a data-driven
 procedure to construct synthetic control units based on a weighted
 combination of comparison units that approximates the characteristics of the
 unit that is exposed to the intervention. A combination of comparison units
 often provides a better comparison for the unit exposed to the intervention
 than any comparison unit alone.

Package: r-cran-synthcast
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-synth, r-cran-forcats
Suggests: r-cran-knitr, r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-badger
Filename: pool/dists/focal/main/r-cran-synthcast_0.2.1-1.ca2004.1_all.deb
Size: 235684
MD5sum: 10fcfa4888cd0c0b859c70be188c6e27
SHA1: 2a18c2b94acc38f3f6ebd22af19754b4db9418cb
SHA256: e961ba790f31f4b163608d8e5bb29322ee4c8011e6a4f6540227214a9dee738e
SHA512: 3cbeeccd60c212ccfc352a082b1ae661d5e1f399048730a14b5c00f99c9e44335a7e52915ea2005923cf6e6fa3ee8af3242e560015cedac53c5d5dbb46d98405
Homepage: https://cran.r-project.org/package=SynthCast
Description: CRAN Package 'SynthCast' (Synthetic Control Method to Forecast Series)
 Not a new method implementation.  Usage of the Synthetic Control Method, see
 Abadie et al. (2011) <doi:10.18637/jss.v042.i13>, as an ad-hoc approach to
 forecast series with panel in a specific context. The context being: There
 are units in different stages of a certain journey, there the assumption
 that the units’ behavior throw out the journey are similar is valid and
 there are not enough data to use traditional forecasting methods.  For a
 usage example see the package home page documentation.

Package: r-cran-synthesis
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass
Suggests: r-cran-zoo, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-synthesis_1.2.5-1.ca2004.1_all.deb
Size: 1745604
MD5sum: edf2315398f58d79a15578124aba5b8d
SHA1: 8831e6da0a174a45823419f5691a590bcb4dc0ae
SHA256: 8f41fd6b9be1e735cf03933ee819f4002bd71a080c0438b663e50833beb4a34d
SHA512: b9fc6be5d09f4c11bdfb9742d2879c1cf9e5796530c2b22a17e3891a84ba55bc196044aa6e68f6b6852d96498cfe9415dc7729d3d7e41d6380802190280b57b3
Homepage: https://cran.r-project.org/package=synthesis
Description: CRAN Package 'synthesis' (Generate Synthetic Data from Statistical Models)
 Generate synthetic time series from commonly used statistical models,
 including linear, nonlinear and chaotic systems. Applications to testing
 methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019)
 <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson,
 F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by
 Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020)
 <doi:10.1016/j.envsoft.2020.104907>.

Package: r-cran-synthesisr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 841
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringdist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-synthesisr_0.3.0-1.ca2004.1_all.deb
Size: 265036
MD5sum: 147daa871eab577316a0efbd1b7b0ae7
SHA1: 1b06aea5256f72228edb8dc4a4ad39e588e3ffe7
SHA256: fbdf2f90feaed5e8dc680f641897a6f8a7248360905927ddc13403fdf51bf1ad
SHA512: 78169adef506ba653ae674d9ae7d94dded747e1feff6a073b738ca5ee1aca60c24730d836721f82406b485f2221020db178299fb251c0bc60425a560156d60ca
Homepage: https://cran.r-project.org/package=synthesisr
Description: CRAN Package 'synthesisr' (Import, Assemble, and Deduplicate Bibliographic Datasets)
 A critical first step in systematic literature reviews and mining of
 academic texts is to identify relevant texts from a range of sources,
 particularly databases such as 'Web of Science' or 'Scopus'.  These
 databases often export in different formats or with different metadata tags.
 'synthesisr' expands on the tools outlined by Westgate (2019)
 <doi:10.1002/jrsm.1374> to import bibliographic data from a range of formats
 (such as 'bibtex', 'ris', or 'ciw') in a standard way, and allows merging
 and deduplication of the resulting dataset.

Package: r-cran-synthesizer
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-randomforest
Suggests: r-cran-tinytest, r-cran-simplermarkdown
Filename: pool/dists/focal/main/r-cran-synthesizer_0.4.0-1.ca2004.1_all.deb
Size: 123784
MD5sum: fde68675f2097d41b6b729b1deb82b2b
SHA1: e420fbbcc594b067da815a4703a0a0c971418eea
SHA256: 626e9dfe2eab41b61e998d72df96bb9687ea909c5b25b04c40c99e2352af8263
SHA512: 1162469b128c82c41fa549926116edb92a2d7565a00465ad196384952ca35a102f2935418c80cb9c60dfe2dc124f62f4956bcbbafaf57c502e4301eb623722cb
Homepage: https://cran.r-project.org/package=synthesizer
Description: CRAN Package 'synthesizer' (Synthesize Data Based on Empirical Quantile Functions and RankOrder Matching)
 Data is synthesized using a combination of inverse transform sampling using
 the empirical quantile functions for each variable, and then copying the
 rank order structure from the original dataset. The syntesizer method has a
 tunable parameter allowing to gradually move from realistic and possibly
 unsafe synthetic data to decorrelated data of less utility.

Package: r-cran-synthetic
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5067
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-actuar
Filename: pool/dists/focal/main/r-cran-synthetic_1.1.0-1.ca2004.1_all.deb
Size: 3593748
MD5sum: 6ac3bdbedc22ed73963697a2362f46a7
SHA1: 22619db37bd61d580a1e0161a9cf013c38648ab9
SHA256: 495ccecb3c1334beabaecc20afdbc26c18d168ca7f888a47206d82065fe27084
SHA512: 009876596f9f302e60e319621193ec6c5810c7150fe9188b628bdc59a61e20823c48399b93f80e1bfc0f9e684873811f8394f2e57900f399e78024465a1a5e12
Homepage: https://cran.r-project.org/package=SynthETIC
Description: CRAN Package 'SynthETIC' (Synthetic Experience Tracking Insurance Claims)
 Creation of an individual claims simulator which generates various features
 of non-life insurance claims. An initial set of test parameters, designed to
 mirror the experience of an Auto Liability portfolio, were set up and
 applied by default to generate a realistic test data set of individual
 claims (see vignette). The simulated data set then allows practitioners to
 back-test the validity of various reserving models and to prove and/or
 disprove certain actuarial assumptions made in claims modelling. The
 distributional assumptions used to generate this data set can be easily
 modified by users to match their experiences. Reference: Avanzi B, Taylor G,
 Wang M, Wong B (2020) "SynthETIC: an individual insurance claim simulator
 with feature control" <arXiv:2008.05693>.

Package: r-cran-synthpop
Architecture: all
Version: 1.9-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2128
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-mass, r-cran-nnet, r-cran-ggplot2, r-cran-rpart, r-cran-party, r-cran-foreign, r-cran-plyr, r-cran-proto, r-cran-polspline, r-cran-randomforest, r-cran-ranger, r-cran-classint, r-cran-mipfp, r-cran-survival, r-cran-stringr, r-cran-rmutil, r-cran-broman, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-synthpop_1.9-1.1-1.ca2004.1_all.deb
Size: 1841336
MD5sum: 41b1ffa9cef4f0091a6713c856ab26c2
SHA1: bab289fd82700478d8a630aa096355b75a23be3c
SHA256: f11c5766a6be19966683524a6984e0c68c17ff4d8c1c7b073efb635af0fffe88
SHA512: d4e99e9f6550a61f0a5a17ba7842dfd3ece639b97e1836be42a047e7e3bac0fcf1670f2f50ebefaffab42f58e48549607aa9733a5ee21a3e86bfe5f46502c477
Homepage: https://cran.r-project.org/package=synthpop
Description: CRAN Package 'synthpop' (Generating Synthetic Versions of Sensitive Microdata forStatistical Disclosure Control)
 A tool for producing synthetic versions of microdata containing confidential
 information so that they are safe to be released to users for exploratory
 analysis. The key objective of generating synthetic data is to replace
 sensitive original values with synthetic ones causing minimal distortion of
 the statistical information contained in the data set. Variables, which can
 be categorical or continuous, are synthesised one-by-one using sequential
 modelling. Replacements are generated by drawing from conditional
 distributions fitted to the original data using parametric or classification
 and regression trees models. Data are synthesised via the function syn()
 which can be largely automated, if default settings are used, or with
 methods defined by the user. Optional parameters can be used to influence
 the disclosure risk and the analytical quality of the synthesised data. For
 a description of the implemented method see Nowok, Raab and Dibben (2016)
 <doi:10.18637/jss.v074.i11>. Functions to assess identity and attribute
 disclosure for the original and for the synthetic data are included in the
 package, and their use is illustrated in a vignette on disclosure (Practical
 Privacy Metrics for Synthetic Data).

Package: r-cran-synthtools
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-rdpack
Suggests: r-cran-synthpop, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-synthtools_1.0.1-1.ca2004.1_all.deb
Size: 99144
MD5sum: 94f8cce92a9f9381a34d3d75861e64b1
SHA1: 590d493651213a8586848b6aef26722bb103f9f1
SHA256: 75f08a022a43b9c6a48d08c7e10f777f9a71a797d648a94e83762e8acd010f8a
SHA512: 38f3fdc8fd3b3035219d75d43cbf64b895a0e7c3fd8374a95489454e8b298011477f4407664f38c27c1af3de40c090fd979587db3b75c23c71c67d7c07aa722f
Homepage: https://cran.r-project.org/package=SynthTools
Description: CRAN Package 'SynthTools' (Tools and Tests for Experiments with Partially Synthetic DataSets)
 A set of functions to support experimentation in the utility of partially
 synthetic data sets.  All functions compare an observed data set to one or a
 set of partially synthetic data sets derived from the observed data to (1)
 check that data sets have identical attributes, (2) calculate overall and
 specific variable perturbation rates, (3) check for potential logical
 inconsistencies, and (4) calculate confidence intervals and standard errors
 of desired variables in multiple imputed data sets. Confidence interval and
 standard error formulas have options for either synthetic data sets or
 multiple imputed data sets. For more information on the formulas and methods
 used, see Reiter & Raghunathan (2007) <doi:10.1198/016214507000000932>.

Package: r-cran-syrup
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-bench, r-cran-callr, r-cran-dplyr, r-cran-ps, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-syrup_0.1.4-1.ca2004.1_all.deb
Size: 110020
MD5sum: f0c66a909796f785a0ec9229b5cec672
SHA1: 7a2b44bb97e864978f11263fc9bfe5f28aa567e3
SHA256: 788d569d7772cf619700c04b01542dcedfae67f75e1c883ea4c6abbd102e9c4e
SHA512: 0af145e539b4dd8d81bcf1a835c52a1ae22f67ac2eb2c46ec6071bee9276d0d7df1f707bf3a3706e1a6ffcec3a49698eedfef93f967dd207f82a2ff1a2a9375d
Homepage: https://cran.r-project.org/package=syrup
Description: CRAN Package 'syrup' (Measure Memory and CPU Usage for Parallel R Code)
 Measures memory and CPU usage of R code by regularly taking snapshots of
 calls to the system command 'ps'. The package provides an entry point
 (albeit coarse) to profile usage of system resources by R code run in
 parallel.

Package: r-cran-sysagnps
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 554
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-expm, r-cran-ggplot2, r-cran-ggpubr, r-cran-magrittr, r-cran-patchwork, r-cran-purrr, r-cran-rio, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-rcolorbrewer, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-sysagnps_1.0.0-1.ca2004.1_all.deb
Size: 428024
MD5sum: 25dad985b606a6008c867f65a2a36c29
SHA1: 5d8e114912ed1e136a832687a7cdb97aa9f57cbd
SHA256: 07d0977f2a5bba531819488046d9889b852049f0fa516369c9c80e0a97d80df6
SHA512: 5462698b3bac0f3a2ec9c4dd59465f5405b4215ef71c843e442f5f4f26df9ff2ab46cbfee9c73c9cfafd9d45ecb73f919fa2ce16fd868e2ff93f0b8359d6d064
Homepage: https://cran.r-project.org/package=sysAgNPs
Description: CRAN Package 'sysAgNPs' (Systematic Quantification of AgNPs to Unleash their Potentialfor Applicability)
 There is variation across AgNPs due to differences in characterization
 techniques and testing metrics employed in studies. To address this problem,
 we have developed a systematic evaluation framework called 'sysAgNPs'.
 Within this framework, Distribution Entropy (DE) is utilized to measure the
 uncertainty of feature categories of AgNPs, Proclivity Entropy (PE) assesses
 the preference of these categories, and Combination Entropy (CE) quantifies
 the uncertainty of feature combinations of AgNPs. Additionally, a Markov
 chain model is employed to examine the relationships among the sub-features
 of AgNPs and to determine a Transition Score (TS) scoring standard that is
 based on steady-state probabilities. The 'sysAgNPs' framework provides
 metrics for evaluating AgNPs, which helps to unravel their complexity and
 facilitates effective comparisons among different AgNPs, thereby advancing
 the scientific research and application of these AgNPs.

Package: r-cran-syscselection
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-syscselection_1.0.2-1.ca2004.1_all.deb
Size: 79416
MD5sum: 4070f7b85145a14afb2e3f831e4d5022
SHA1: 5ad8ff61cbef00f0b4af745e5121862ad1011c67
SHA256: 9f3b3aa0800a3718cb19ea909678b28f4e7e5380251cee263640622fae66d65e
SHA512: b4218efcdca8ed0d5aff695fa9081df1ebd133ce1aff14fa0df67e5c5c320fba2609ece2d01e21ff8a6de0d6aa5b7b1f263848fb4e9201c97afe429b1634ac77
Homepage: https://cran.r-project.org/package=SyScSelection
Description: CRAN Package 'SyScSelection' (Systematic Scenario Selection for Stress Testing)
 Quasi-Monte-Carlo algorithm for systematic generation of shock scenarios
 from an arbitrary multivariate elliptical distribution. The algorithm
 selects a systematic mesh of arbitrary fineness that approximately evenly
 covers an isoprobability ellipsoid in d dimensions (Flood, Mark D. &
 Korenko, George G. (2013) <doi:10.1080/14697688.2014.926018>).  This package
 is the 'R' analogy to the 'Matlab' code published by Flood & Korenko in
 above-mentioned paper.

Package: r-cran-sysid
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 699
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal, r-cran-tframe, r-cran-ggplot2, r-cran-reshape2, r-cran-polynom, r-cran-bitops, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-sysid_1.0.4-1.ca2004.1_all.deb
Size: 665788
MD5sum: 7d5f93698c3067f575b3b4b2b5c05140
SHA1: 822c4e711fb55c0cc574cb4a7ffd2dc76a0b11f6
SHA256: bbb6436ff9749d3a19eb3cc750d09ef0371f60f35f6ed53042cc5a46be9ea6d8
SHA512: b5290c4069c2cc4523b43322cb0918f420cfa1e962ab321e107427892e665dc712db06d590c0fe2e1e8f7f5f685fc46654b27920f0186af4f168f8038b78d68a
Homepage: https://cran.r-project.org/package=sysid
Description: CRAN Package 'sysid' (System Identification in R)
 Provides functions for constructing mathematical models of dynamical systems
 from measured input-output data.

Package: r-cran-syslognet
Architecture: all
Version: 0.1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-syslognet_0.1.2.1-1.ca2004.1_all.deb
Size: 11096
MD5sum: 0d5070d96a9e788925bba1399603c938
SHA1: 64b7fea718119c2030ce67d0237b88381a2d7d56
SHA256: dac71f19b25cfcf6030d6ce55f259627f6e7dc705840f0034a73a566656d636b
SHA512: 3cfbeb6d2737bb915d9161e086158287b238164de51a77d986b7818bfe0fd3a6c9bba1531fde7684778d107a4a806f447fe326279e141481dbe3d40e29fdaab8
Homepage: https://cran.r-project.org/package=syslognet
Description: CRAN Package 'syslognet' (Send Log Messages to Remote 'syslog' Server)
 Send 'syslog' protocol messages to a remote 'syslog' server specified by
 host name and TCP network port.

Package: r-cran-sysrecon
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 231
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-ggplot2, r-bioc-ggtree, r-cran-magrittr, r-cran-patchwork, r-cran-plyr, r-cran-rcolorbrewer, r-cran-rlang, r-cran-snowballc, r-cran-stringr, r-cran-tm
Filename: pool/dists/focal/main/r-cran-sysrecon_0.1.3-1.ca2004.1_all.deb
Size: 193676
MD5sum: 8363accd69673f69ac1060379c838c88
SHA1: fe0d467f63d9f9b1f2225280ef2c94f96f14e0bb
SHA256: 0425afea75cab1dc895ed26c6a2305aa19f3c5757b9b4108fe1008c8d9435357
SHA512: 39bf3070ab2b18edf8b4a6746cb8ce7a0f0dba9ffeeb7ffbff1b6fce5c6b2372609d3eb8276236837d73651fb42a2b0bae8932cc64e0281a67e78bb3071609a1
Homepage: https://cran.r-project.org/package=Sysrecon
Description: CRAN Package 'Sysrecon' (Systematical Metabolic Reconstruction)
 In the past decade, genome-scale metabolic reconstructions have widely been
 used to comprehend the systems biology of metabolic pathways within an
 organism.  Different GSMs are constructed using various techniques that
 require distinct steps, but the input data, information conversion and
 software tools are neither concisely defined nor mathematically or
 programmatically formulated in a context-specific manner.The tool that
 quantitatively and qualitatively specifies each reconstruction steps and can
 generate a template list of reconstruction steps dynamically selected from a
 reconstruction step reservoir, constructed based on all available published
 papers.

Package: r-cran-systemfit
Architecture: all
Version: 1.1-30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 742
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix, r-cran-car, r-cran-lmtest, r-cran-sandwich, r-cran-mass
Suggests: r-cran-knitr, r-cran-plm, r-cran-sem
Filename: pool/dists/focal/main/r-cran-systemfit_1.1-30-1.ca2004.1_all.deb
Size: 599264
MD5sum: cba911e8a4d94082f2134c1d395d8e6e
SHA1: 0c101843e010dd250da5f1a59d4d42be12b134be
SHA256: c7acaca25b95765470ea6008290eb1bc95eab6321148d86b50cdc07b223c13f9
SHA512: 2fdf6d31280e3c884bc74d43567aaf52248ff5439c92679e7f75cb3b0b16e7f98b6eedf5d0a73cea12b526b64257282f054ceb2d46f2dec15bf132e1ace6284e
Homepage: https://cran.r-project.org/package=systemfit
Description: CRAN Package 'systemfit' (Estimating Systems of Simultaneous Equations)
 Econometric estimation of simultaneous systems of linear and nonlinear
 equations using Ordinary Least Squares (OLS), Weighted Least Squares (WLS),
 Seemingly Unrelated Regressions (SUR), Two-Stage Least Squares (2SLS),
 Weighted Two-Stage Least Squares (W2SLS), and Three-Stage Least Squares
 (3SLS) as suggested, e.g., by Zellner (1962) <doi:10.2307/2281644>, Zellner
 and Theil (1962) <doi:10.2307/1911287>, and Schmidt (1990)
 <doi:10.1016/0304-4076(90)90127-F>.

Package: r-cran-systemicr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2591
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-quantreg, r-cran-xts
Filename: pool/dists/focal/main/r-cran-systemicr_0.1.0-1.ca2004.1_all.deb
Size: 2604040
MD5sum: 3437f3787d1ea5b51e2030a7ee0c2657
SHA1: 7e52573e4741af50c2bee6de9900a2317388b5d6
SHA256: b0fa33b19288be1398685986f9e86b0987486568a322a367879f430f7865f459
SHA512: abb873909739b5d2852b4a45b89ef5d04a110dbde0d9ad7ca0e4473244290defb5ff7029aee5c4c4e77d9fbfc22f84995ee382c0a4a250c61ca16d90dfc7d251
Homepage: https://cran.r-project.org/package=SystemicR
Description: CRAN Package 'SystemicR' (Monitoring Systemic Risk)
 The past decade has demonstrated an increased need to better understand
 risks leading to systemic crises. This framework offers scholars,
 practitioners and policymakers a useful toolbox to explore such risks in
 financial systems. Specifically, this framework provides popular econometric
 and network measures to monitor systemic risk and to measure the
 consequences of regulatory decisions. These systemic risk measures are based
 on the frameworks of Adrian and Brunnermeier (2016)
 <doi:10.1257/aer.20120555> and Billio, Getmansky, Lo and Pelizzon (2012)
 <doi:10.1016/j.jfineco.2011.12.010>.

Package: r-cran-syt
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-partitions
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-syt_0.5.0-1.ca2004.1_all.deb
Size: 161460
MD5sum: 16c0efda7bab3d43528dbf47d691a588
SHA1: 8f1ae4fa3158a14d6a1c13d1e79b5540b16b3e1b
SHA256: fa1c0987906183aff9ba0a575b5a2621a0cdf6dc357f69c8e3b55a95af085e30
SHA512: 5f7250c5b6019978a9867f3908842d1295ceebad8132f490925b71e32ce362887f44c69952c725ef9de39a70aa08390b9c54c84f519245dc9eb05e33cf984169
Homepage: https://cran.r-project.org/package=syt
Description: CRAN Package 'syt' (Young Tableaux)
 Deals with Young tableaux (field of combinatorics). For standard Young
 tabeaux, performs enumeration, counting, random generation, the
 Robinson-Schensted correspondence, and conversion to and from paths on the
 Young lattice. Also performs enumeration and counting of semistandard Young
 tableaux, enumeration of skew semistandard Young tableaux, enumeration of
 Gelfand-Tsetlin patterns, and computation of Kostka numbers.

Package: r-cran-syuzhet
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5307
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-textshape, r-cran-nlp, r-cran-zoo, r-cran-dtt, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-devtools, r-cran-knitr, r-cran-pander, r-cran-readxl, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-syuzhet_1.0.7-1.ca2004.1_all.deb
Size: 2822172
MD5sum: ca81d1faa0a6e4839b6644b6ca12e613
SHA1: cbdefdb600890d478e0eaef35f17ea212cb3d9ba
SHA256: 92189347296fe774da3a9a0a098ac77e28a543c46c19d5a0a7d11662e9003e8e
SHA512: 3d65ee215cb000c60bc03879c83cbda55e531bb2ff4605b6ccf7eda2433b0d03026a367bae8ac5f44210c196c92abb2fd3bb831cae60f51a03e0d2768cfbb94b
Homepage: https://cran.r-project.org/package=syuzhet
Description: CRAN Package 'syuzhet' (Extracts Sentiment and Sentiment-Derived Plot Arcs from Text)
 Extracts sentiment and sentiment-derived plot arcs from text using a variety
 of sentiment dictionaries conveniently packaged for consumption by R users.
 Implemented dictionaries include "syuzhet" (default) developed in the
 Nebraska Literary Lab "afinn" developed by Finn Årup Nielsen, "bing"
 developed by Minqing Hu and Bing Liu, and "nrc" developed by Mohammad, Saif
 M. and Turney, Peter D.  Applicable references are available in README.md
 and in the documentation for the "get_sentiment" function.  The package also
 provides a hack for implementing Stanford's coreNLP sentiment parser. The
 package provides several methods for plot arc normalization.

Package: r-cran-t2dfittailor
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-fmsb, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-t2dfittailor_3.0.0-1.ca2004.1_all.deb
Size: 36944
MD5sum: 6a8f65b4d42fbb452002e5fd17e3e9af
SHA1: 649c93681719bf2b4a5cee8350a0f471a5c1af87
SHA256: a58e29e10ef21456c24d9801d972318e879cf59a70058da101878d4bb18310af
SHA512: d2e2096c0b6a4fcbc343b44157fa0390457d4d1c850d0d1d6cce748458bf39c643c9fef3c7bf9768bc7dcdc8e5c2597827d3cfb4386b126f99d3b93a6561e69d
Homepage: https://cran.r-project.org/package=T2DFitTailor
Description: CRAN Package 'T2DFitTailor' (Tailor the Exercise Plans and Visualize the Outcome for T2DPatients)
 A system for personalized exercise plan recommendations for T2D (Type 2
 Diabetes) patients based on the primary outcome of HbA1c (Glycated
 Hemoglobin). You provide the individual's information, and 'T2DFitTailor'
 details the exercise plan and predicts the intervention's effectiveness.

Package: r-cran-t2eq
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-t2eq_1.1-1.ca2004.1_all.deb
Size: 32420
MD5sum: 4fddc3a73cfcc435d6d564e044ff1960
SHA1: a038e0b4f261bac37a98c0d62fdb437970f3e19c
SHA256: d3997599cb4f34956d03cec884d748e922bb1805cdea4f64142322407fd24660
SHA512: eb4e209f7d8067f6b95bd4b5d4bac5100239389a3757a4e49598d972f5da9496d5d789d1c172192c667f2e8d38f8349029bb613fd36ac25a17e9665671ed9881
Homepage: https://cran.r-project.org/package=T2EQ
Description: CRAN Package 'T2EQ' (Functions for Applying the T^2-Test for Equivalence)
 Contains functions for applying the T^2-test for equivalence.  The T^2-test
 for equivalence is a multivariate two-sample equivalence test.  Distance
 measure of the test is the Mahalanobis distance.  For multivariate normally
 distributed data the T^2-test for equivalence is exact and UMPI.  The
 function T2EQ() implements the T^2-test for equivalence according to Wellek
 (2010) <DOI:10.1201/ebk1439808184>.  The function
 T2EQ.dissolution.profiles.hoffelder() implements a variant of the T^2-test
 for equivalence according to Hoffelder (2016)
 <http://www.ecv.de/suse_item.php?suseId=Z|pi|8430> for the equivalence
 comparison of highly variable dissolution profiles.

Package: r-cran-t2qv
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinydashboardplus, r-cran-shinydashboard, r-cran-shinycssloaders, r-cran-dplyr, r-cran-ca, r-cran-highcharter, r-cran-stringr, r-cran-tables, r-cran-purrr, r-cran-tidyr, r-cran-htmltools
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-t2qv_0.2.0-1.ca2004.1_all.deb
Size: 81612
MD5sum: 367eccf6864bf5fff7dda5485d8f207f
SHA1: 9c092429c39133a201e4cc2eb8590feb07c345d8
SHA256: ae64f6abdaa07d9eefe39bc041e981b74d5dc5526a38a41bf522ac5d5380d245
SHA512: 62d8b3786b667b2c8131d46395a51de7d9fe1f4157ef35422289e6d9efa53ff94c64dc23d320459d55ef04aec75cebf43cbf2c857ab524ac512417a962edef37
Homepage: https://cran.r-project.org/package=T2Qv
Description: CRAN Package 'T2Qv' (Control Qualitative Variables)
 Covers k-table control analysis using multivariate control charts for
 qualitative variables using fundamentals of multiple correspondence analysis
 and multiple factor analysis. The graphs can be shown in a flat or
 interactive way, in the same way all the outputs can be shown in an
 interactive shiny panel.

Package: r-cran-tab2xml
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 266
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readods, r-cran-readxl, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-tab2xml_1.1.0-1.ca2004.1_all.deb
Size: 154432
MD5sum: abe35ed94ca3ac8af86005e705346d72
SHA1: 28bba7ca0a0795bd4e21cff3a847d26f8ca362bd
SHA256: 8225786e23d8cfee8b72c2023741109a1294d2bd909b8b4a44b415632f7469a4
SHA512: ed834b74d6a88b1d1fd9ca258e5999443df449861fee82488bc709173ef80e217018df9dfc047a86a6003764ef63a49eeec35d00a7409510d4753837f4f2acf4
Homepage: https://cran.r-project.org/package=tab2xml
Description: CRAN Package 'tab2xml' (XML Generation from Tables)
 Converting structured data from tables into XML format using predefined
 templates ensures consistency and flexibility, making it ideal for data
 exchange, reporting, and automated workflows.

Package: r-cran-tab
Architecture: all
Version: 5.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 696
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-knitr, r-cran-kableextra, r-cran-mass, r-cran-survey
Suggests: r-cran-gee, r-cran-rmarkdown, r-cran-survival
Filename: pool/dists/focal/main/r-cran-tab_5.1.1-1.ca2004.1_all.deb
Size: 566436
MD5sum: 8a3e465c5bea04b38a3d6ecbaca1c0cc
SHA1: 39f7d2e9df7695e9768c3f976a56ee9ae99578cb
SHA256: d3ede50886fe7e0c279041cff7bbf9a4907afe4c937da9a9a4096a0b7a5349ba
SHA512: 8d883b0f11efb9e5224010b1b4a4b9e4399284660f9ab576a6df14ce0d6e9b360859c451e6834cb1f91f149d5188a07ccefea3c94fea1fa34afcfd237d269d13
Homepage: https://cran.r-project.org/package=tab
Description: CRAN Package 'tab' (Create Summary Tables for Statistical Reports)
 Contains functions for creating various types of summary tables, e.g.
 comparing characteristics across levels of a categorical variable and
 summarizing fitted generalized linear models, generalized estimating
 equations, and Cox proportional hazards models. Functions are available to
 handle data from simple random samples as well as complex surveys.

Package: r-cran-taba
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-robustbase
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taba_1.0.0-1.ca2004.1_all.deb
Size: 68840
MD5sum: dbc9fd49f9b6d857c9bbfcb59a487d9e
SHA1: bca873533d871bc37b328f98a91c29e349d999d5
SHA256: f7641cb943e6339b2939ffaa431a0168f45b27c376cf9da47e5c17166bb746b7
SHA512: 823016e4b9c6e3b0dcca2141c2d54de0449706df9bb14dd0d4c388ac8575a555722787bacc04fddde8061c91978a982ab376af0c3c621c870f9e78575f0671d9
Homepage: https://cran.r-project.org/package=Taba
Description: CRAN Package 'Taba' (Taba Robust Correlations)
 Calculates the robust Taba linear, Taba rank (monotonic), TabWil, and TabWil
 rank correlations. Test statistics as well as one sided or two sided
 p-values are provided for all correlations. Multiple correlations and
 p-values can be calculated simultaneously across multiple variables. In
 addition, users will have the option to use the partial, semipartial, and
 generalized partial correlations; where the partial and semipartial
 correlations use linear, logistic, or Poisson regression to modify the
 specified variable.

Package: r-cran-tabbycat
Architecture: all
Version: 0.18.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-janitor, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tabbycat_0.18.0-1.ca2004.1_all.deb
Size: 52972
MD5sum: 01e81a4cfaf8c03a74f1872a8d468541
SHA1: d6232748fba4a80ce2d414a569e45e1a0d7c0db6
SHA256: b527aaa9466e6f14733bf61cf9bf3a56b059903d503225a166bf681c248fa89e
SHA512: 07ab048234423334c11d602fc5c959440568c4b4e26c3fb113f4d05afcf329faade9929803f547cccbc61678c05c8e6a877c87771a1f4a53d86ce9931f22b925
Homepage: https://cran.r-project.org/package=tabbycat
Description: CRAN Package 'tabbycat' (Tabulate and Summarise Categorical Data)
 Functions for tabulating and summarising categorical variables.  Most
 functions are designed to work with dataframes, and use the 'tidyverse'
 idiom of taking the dataframe as the first argument so they work within
 pipelines. Equivalent functions that operate directly on vectors are also
 provided where it makes sense. This package aims to make exploratory data
 analysis involving categorical variables quicker, simpler and more robust.

Package: r-cran-taber
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-taber_0.1.2-1.ca2004.1_all.deb
Size: 19000
MD5sum: 7f158d4be37f9a83c5dfe763d0b7feb1
SHA1: 204c5c118395b25a78cc54be9268fcd03c8c53db
SHA256: 5a060593f21a39f16d3d562866aa87da77d72c6c0210e5ddfe224b06a6507c0e
SHA512: 327a7cf87ae41fa34dde2b02be658d57070f848951448a19605e635985b15dc5b4bbf0229dbdb172ca184f6a66be211e4a03da01739c1cb43c1e94acc1a5c432
Homepage: https://cran.r-project.org/package=taber
Description: CRAN Package 'taber' (Split and Recombine Your Data)
 Sometimes you need to split your data and work on the two chunks
 independently before bringing them back together. 'Taber' allows you to do
 that with its two functions.

Package: r-cran-tabit
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tabit_0.2.1-1.ca2004.1_all.deb
Size: 24700
MD5sum: 188757dfd6c79ed5d5fd186c71a1f572
SHA1: d0512a1a9d9aa3687b46091a0ff9a6855a76a6ab
SHA256: 15f88cb41b06c6752f7cc4b96c2345da4fb83d87464208a029bcc59db1ad5d9b
SHA512: 75fdbe4f7cadd73a2032d6a78bd278952982e946ccb34ee917f541c02c70b4b1a96d2fe4a41755c42fd36bb5c808d958f7dafb8b8e8ef32789195755acc7e66f
Homepage: https://cran.r-project.org/package=tabit
Description: CRAN Package 'tabit' (Simple Tabulation Made Simple)
 Simple tabulation should be dead simple.  This package is an opinionated
 approach to easy tabulations while also providing exact numbers and allowing
 for re-usability.  This is achieved by providing tabulations as data.frames
 with columns for values, optional variable names, frequency counts including
 and excluding NAs and percentages for counts including and excluding NAs.
 Also values are automatically sorted by in decreasing order of frequency
 counts to allow for fast skimming of the most important information.

Package: r-cran-tablaxlsx
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-tablaxlsx_1.2.5-1.ca2004.1_all.deb
Size: 100652
MD5sum: d5a4e76bbe426574374c218a9abcc775
SHA1: f1197278ed3794d3b9b18ba62e3cd1a0b9e9055d
SHA256: 6053b91c3d1e074f6c6658a3a7b92c50698cd544c4201108d38b1eaa90c81094
SHA512: be1e5f300c426a5200ef47ac80d49ec6bfebe7520f88b81f400b4f54ea5ccfb648817e5b0e1602f5a76e36afcbb248c147f4d773700fc742cf3046773b6a48e6
Homepage: https://cran.r-project.org/package=tablaxlsx
Description: CRAN Package 'tablaxlsx' (Write Formatted Tables in Excel Workbooks)
 For writing tables with custom formats in a Excel file ready to be
 distributed.

Package: r-cran-table.express
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-magrittr, r-cran-r6, r-cran-rlang, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rex, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-table.express_0.4.2-1.ca2004.1_all.deb
Size: 296752
MD5sum: 8f1ddb1b72aa77031f312b257b4e9780
SHA1: ceba3ddcb142be25303271f842ab22e28885870c
SHA256: 17ed6f5e3d1fb306a3e140cc497ca7daae9b5e238ca6895cf2f6feaac767538c
SHA512: 4c1e2f9b56d470e36853f258f136885ad7ff09d69bb320d5a4fe7505cadbc1854d612f2edd72a65315e4b928ed34d05a882dc15300f4e1f635547c41b7110bfe
Homepage: https://cran.r-project.org/package=table.express
Description: CRAN Package 'table.express' (Build 'data.table' Expressions with Data Manipulation Verbs)
 A specialization of 'dplyr' data manipulation verbs that parse and build
 expressions which are ultimately evaluated by 'data.table', letting it
 handle all optimizations. A set of additional verbs is also provided to
 facilitate some common operations on a subset of the data.

Package: r-cran-table.glue
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 736
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-stringi
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-gt
Filename: pool/dists/focal/main/r-cran-table.glue_0.0.5-1.ca2004.1_all.deb
Size: 584732
MD5sum: bd7e3d9628bcb097492e71300235c446
SHA1: efcf93c7592259d26f948708f179ed71a837a588
SHA256: 8e80eba47fb6506e64e9d3b297f96ada40152247c2511dae5030409878a3f060
SHA512: 7e3485ef522c29d89242592ef24f8569bbb76c5184b044721368596898fd4ccf9f661148d2ebb7fcff2d82d3abd122de55b648697ccdce4d810aade83e049a7f
Homepage: https://cran.r-project.org/package=table.glue
Description: CRAN Package 'table.glue' (Make and Apply Customized Rounding Specifications for Tables)
 Translate double and integer valued data into character values formatted for
 tabulation in manuscripts or other types of academic reports.

Package: r-cran-table1
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-formula, r-cran-knitr, r-cran-htmltools, r-cran-yaml
Suggests: r-cran-boot, r-cran-matchit, r-cran-rmarkdown, r-cran-printr, r-cran-kableextra, r-cran-flextable
Filename: pool/dists/focal/main/r-cran-table1_1.4.3-1.ca2004.1_all.deb
Size: 360168
MD5sum: 71a7f98dd0dd8bb5d575d092b075874d
SHA1: 0dcca251e365c59123435d1e536b063f07c10f8b
SHA256: a0bcb7ea2b2fb8860a3be03b99997c76f45558592c183793793a008b61abb5ea
SHA512: 84e2b64081e97ddf5722fa02d249940d7da0d210f108f52026f4d361ed74500ecd525346fa8605dead0607122f00597b7f5c37244edeea047367d4db8a62e36d
Homepage: https://cran.r-project.org/package=table1
Description: CRAN Package 'table1' (Tables of Descriptive Statistics in HTML)
 Create HTML tables of descriptive statistics, as one would expect to see as
 the first table (i.e. "Table 1") in a medical/epidemiological journal
 article.

Package: r-cran-table1heatmap
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-colorramps
Filename: pool/dists/focal/main/r-cran-table1heatmap_1.2-1.ca2004.1_all.deb
Size: 20484
MD5sum: 8e92a72c421d92e2face701c009ad7fc
SHA1: fbf9ca1e00516d54b1884b5e765bb8f04017e804
SHA256: 11c58a670d11bbaf6a19275741709efc62bf5f8cf5ec682fe2e44cd48a7c95b5
SHA512: 0c48f9b8ffc51c74aa3141b1e305958ebd312d91234f22f6798ef1fa1bb9bf76a1b1e1cf074665cac2a3a95f2e6f7bef2d5dda06c8a5bc099bf1f23c9669e566
Homepage: https://cran.r-project.org/package=Table1Heatmap
Description: CRAN Package 'Table1Heatmap' (Table 1 Heatmap)
 Table 1 is the classical way to describe the patients in a clinical study.
 The amount of splits in the data in such a table is limited. Table1Heatmap
 draws a heatmap of all crosstables that can be generated with the data.
 Users can choose between showing the actual crosstables or direction of
 effect of associations, and highlight associations by number of patients or
 p-values.  v1.2 - fixed "missing "no visible global function definition for
 .."

Package: r-cran-table1xls
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xlconnect
Filename: pool/dists/focal/main/r-cran-table1xls_0.4.0-1.ca2004.1_all.deb
Size: 98704
MD5sum: 06fdd14abc3cc638d6643ec4e19d0471
SHA1: b924509122872f0b27214bd0173165a8d7a4e8e3
SHA256: c990c175cc1270d84938340c329fd24fecc9a97af97cf7d2e0cba9e118436c33
SHA512: 44c4653cd5224ad111cb68b4c1b7f987427b0311dd710958fe9b95fbe12e003cd886fc51051afcb3ad7ca76bcbd655f612653e4dc1f5ae24566156cce7bb698b
Homepage: https://cran.r-project.org/package=table1xls
Description: CRAN Package 'table1xls' (Exports Reproducible Summary Tables to Multi-Tab SpreadsheetFiles (.xls or .xlsx))
 A collection of time-saving wrappers for reproducible export of summary
 tables commonly used in scientific articles, to .xls/.xlsx multi-tab
 spreadsheets, while controlling spreadsheet layout. Powered by
 'XLConnect'/'rJava' utilities.

Package: r-cran-tablecompare
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-glue, r-cran-magrittr, r-cran-rlang, r-cran-tidyselect, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tablecompare_0.1.1-1.ca2004.1_all.deb
Size: 78364
MD5sum: c67b1d8cfe23cceb49ef6c8407a96240
SHA1: 099ad39d5376b580b4e6783c7c99f5e341f4d33d
SHA256: 3a30eeb7e2e7bf759c8516bedab11ba7d092b51ae9bde7a1bb154ddf5d2ae8ca
SHA512: 4b57f302cb21debf60315e145ec0af14e5d1e039ec6c00aff07b70e4c23b176dc35694be82fc039408c4066bdf6937663671d4c3c4a4ad04bee3828ed3a6fc63
Homepage: https://cran.r-project.org/package=tablecompare
Description: CRAN Package 'tablecompare' (Compare Data Frames)
 A toolbox for comparing two data frames. This package is defunct. I
 recommend you use the "versus" package instead.

Package: r-cran-tablecontainer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-glue
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tablecontainer_1.0.0-1.ca2004.1_all.deb
Size: 200180
MD5sum: f0605f4aed940749a00fd428f123c4d1
SHA1: 9da4289c889febd26db55092050e7144ebeb579a
SHA256: 0c15cccdd2530b22fff88ef6d5d017a32026ab736c4aa23073b0c7344c37a2f6
SHA512: 9dc900f965ea9ba893e657b556648c055b07744a5ee59fbffdae8bc161a2103dd1d51b258cebeca91ac5179021af76659b249175483eac766858ea7195e91e48
Homepage: https://cran.r-project.org/package=TableContainer
Description: CRAN Package 'TableContainer' (Create a Table with Row, Column, and Table Annotations)
 Offers a TableContainer() function to create tables enriched with row,
 column, and table annotations. This package is similar to
 'SummarizedExperiment' in Bioconductor
 <doi:10.18129/B9.bioc.SummarizedExperiment>, but designed to work
 independently of Bioconductor, it ensures annotations are automatically
 updated when the table is subset. Additionally, it includes format_tbl()
 methods for enhanced table formatting and display.

Package: r-cran-tabledown
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 700
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-psych, r-cran-mote, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-data.table, r-cran-tidyselect, r-cran-lavaan, r-cran-mirt, r-cran-ggplot2, r-cran-plotly, r-cran-kutils, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-markdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tabledown_1.0.0-1.ca2004.1_all.deb
Size: 450216
MD5sum: 545a53276abef4667879420a80dd03f2
SHA1: ba817e850cb6e2654291e1eee0fa614e0bfea03b
SHA256: 38608ffc6b82d6d0e59fb821a30ee074a159ce95275c81470ede7e59ab4de185
SHA512: 262f10fcb120360970b233ea90e760388a662200342498e4cebaffedc89f72f964fdf2d74b281d7b725a4dad58d8a9380fe217aec9ebe512d3ac1ba78792abee
Homepage: https://cran.r-project.org/package=tabledown
Description: CRAN Package 'tabledown' (Create Publication Quality Tables and Plots)
 Create publication quality plots and tables for Item Response Theory and
 Classical Test theory based item analysis, exploratory and confirmatory
 factor analysis.

Package: r-cran-tableeasy
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-lmtest, r-cran-mgcv, r-cran-nortest, r-cran-tableone
Filename: pool/dists/focal/main/r-cran-tableeasy_1.1.2-1.ca2004.1_all.deb
Size: 104552
MD5sum: 1df2eee04df1fe0360c2ddf14502f5cb
SHA1: ce8c9782a68ce306fccb2385216066bd5050bf38
SHA256: 365edf19944b17bc6ea965dbcb4a422b6687e0b6e9d11cafff8531e0989cfd79
SHA512: c7f51a327a7d83d13f1c71a4ff17370115981e9fd5c67c494144c5bbfd286fc2f9272d85d543b169341a54d31dcb7295d7e81a4679a9001d233421948beb34ad
Homepage: https://cran.r-project.org/package=tableeasy
Description: CRAN Package 'tableeasy' (Tables of Clinical Study)
 Creates some tables of clinical study. 'Table 1' is created by table1() to
 describe baseline characteristics, which is essential in every clinical
 study. Created by table2(), the function of 'Table 2' is to explore
 influence factors. And 'Table 3' created by table3() is able to make
 stratified analysis.

Package: r-cran-tableextra
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtable
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-tableextra_1.0.1-1.ca2004.1_all.deb
Size: 147176
MD5sum: 59e36506ec55d97420b7cfbc9d57fd89
SHA1: d699f2f907ae6f396dd1e0e234b9f49d8fb785e6
SHA256: d37c0d00d8a04b0a75ace5394336cbdeff385012a2b09ed771d0d6dd8d540c5d
SHA512: afb90681e1000aee8b1e911c0ddd716b5d8d3bdb1e67ab6cf4ba78de37cf1949ff7186fec70910856560ac27491b0c160191530c9b68ca648883520a2df23320
Homepage: https://cran.r-project.org/package=tableExtra
Description: CRAN Package 'tableExtra' (Draws an Awesome Table)
 An easy-to-use tool for drawing paper-quality tables with double-information
 encoded in grobs shapes and colors.

Package: r-cran-tablehc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tablehc_0.1.2-1.ca2004.1_all.deb
Size: 24836
MD5sum: d033d2addaf1d26b0ea97714351b86c4
SHA1: f40c3807fe10fa9f6aa8b43ec34608da1cf6c0d3
SHA256: 019408b4e10ffbda2f6ac8ed46bd185a7a8e104c3b5333ba4ac37016ba86fa64
SHA512: 372af63bab8cd7903130a26bf7b96f5a6fa97adbb22ee2b00c993d474d6404d38b819c698aceb2472a9449d825d1f6cf74692dd6c5f37782fd4f6b3735774b2b
Homepage: https://cran.r-project.org/package=TableHC
Description: CRAN Package 'TableHC' (Higher Criticism Test of Two Frequency Counts Tables)
 Higher Criticism (HC) test between two frequency tables. Test is based on an
 adaptation of the Tukey-Donoho-Jin HC statistic to testing frequency tables
 described in Kipnis (2019) <arXiv:1911.01208>.

Package: r-cran-tablehtml
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6171
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-magrittr, r-cran-shiny, r-cran-jpeg, r-cran-png, r-cran-webshot
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-tablehtml_2.1.2-1.ca2004.1_all.deb
Size: 926876
MD5sum: 53cb81027713cd22d6214bd7d5af32a2
SHA1: b922a038ad566c3e23f57a7d4abc202bba2a41c2
SHA256: fe0f29407193dda50758aec14dbc22ac39199fc179ecd9ef14f0035384caa334
SHA512: c43217e6db201e84eaa710a96a67e9d3b0dcf0baaa0f857898150b6447b146bcbadcee93991e81ea06741291d3064f84cab9b168fa94f970865124fbd0743122
Homepage: https://cran.r-project.org/package=tableHTML
Description: CRAN Package 'tableHTML' (A Tool to Create HTML Tables)
 A tool to create and style HTML tables with CSS. These can be exported and
 used in any application that accepts HTML (e.g. 'shiny', 'rmarkdown',
 'PowerPoint'). It also provides functions to create CSS files (which also
 work with shiny).

Package: r-cran-tablematrix
Architecture: all
Version: 0.82.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tablematrix_0.82.0-1.ca2004.1_all.deb
Size: 121912
MD5sum: 152d887d539e54be7b401509cbbc58eb
SHA1: 877c178c3455f145ec3ca90db5cc9480263fda49
SHA256: 328d34fac4869c2c0492e34850fbd998921619eaa45a313813ecbb943fcfc2c6
SHA512: 4461f4f8781ea1a58b92825eb06273766a09ddcd8f4174053ef13112513409df624243c1a89f1224f84cc94c91c35dd4766e395cd217278a2dbea234cc64425c
Homepage: https://cran.r-project.org/package=tableMatrix
Description: CRAN Package 'tableMatrix' (Combines 'data.table' and 'matrix' Classes)
 Provides two classes extending 'data.table' class. Simple 'tableList' class
 wraps 'data.table' and any additional structures together.  More complex
 'tableMatrix' class combines 'data.table' and 'matrix'. See
 <http://github.com/InferenceTechnologies/tableMatrix> for more information
 and examples.

Package: r-cran-tablemonster
Architecture: all
Version: 1.7.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-tablemonster_1.7.8-1.ca2004.1_all.deb
Size: 41776
MD5sum: 2d10d028dd5417ba64ec505272e9d97d
SHA1: 4194f3964e67037376d260ec76bed24ff00887eb
SHA256: 87c4bcc55bd1528881aad1011576841432efa6f67858dc65e3bf46b110eef587
SHA512: 994dec1368e40ff8492093ddeee371f71be68d2767958fa5551ffda1b29a9f99d9daf8cf60cccb20b518a7d35fd0b08c003772480914500c651e512c0ad82cb1
Homepage: https://cran.r-project.org/package=TableMonster
Description: CRAN Package 'TableMonster' (Table Monster)
 Provides a user friendly interface to generation of booktab style tables
 using 'xtable'.

Package: r-cran-tableone
Architecture: all
Version: 0.13.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survey, r-cran-mass, r-cran-e1071, r-cran-zoo, r-cran-gmodels, r-cran-nlme, r-cran-labelled
Suggests: r-cran-survival, r-cran-testthat, r-cran-matrix, r-cran-matching, r-cran-reshape2, r-cran-ggplot2, r-cran-knitr, r-cran-geepack, r-cran-lme4, r-cran-lmertest, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tableone_0.13.2-1.ca2004.1_all.deb
Size: 367760
MD5sum: 48b129dc8dce3da33d9db2f603c2d2a4
SHA1: 6860d6cb4ba65496375c1b251f34c8d6b87dde21
SHA256: 63b678b8a0364d8d618102b719b8c3f95b9790ac03c69f230c7c54293336785f
SHA512: 8ff216f5124c09105ec7a624d0b118253b947f3db1dc21ef89ca5e7d23e7bfeddc4c269751db33fde20e4702cf7ffbc977ac54ea24492159319f7f9b8ee2e175
Homepage: https://cran.r-project.org/package=tableone
Description: CRAN Package 'tableone' (Create 'Table 1' to Describe Baseline Characteristics with orwithout Propensity Score Weights)
 Creates 'Table 1', i.e., description of baseline patient characteristics,
 which is essential in every medical research.  Supports both continuous and
 categorical variables, as well as p-values and standardized mean
 differences. Weighted data are supported via the 'survey' package.

Package: r-cran-tablerdash
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3019
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-shinywidgets, r-cran-shinyeffects, r-cran-echarts4r, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tablerdash_0.1.5-1.ca2004.1_all.deb
Size: 1024632
MD5sum: 280f26ec3596f3dfe17ab1309ac5d63a
SHA1: 0d14636d6ea8949d30f423141a158635da69d80b
SHA256: b6c25cbb89e7bb00a1bbcbe9ccd245b350242fe61946fafe802198beab34f217
SHA512: 01759dbd40303f1244594e44a00f6c5cc213a5eab90f9abf1661c0a6b2423fb315f5821aa3589d7d107a2b0fdd010853c93ef44c1e4a86d8c483befe20758e66
Homepage: https://cran.r-project.org/package=tablerDash
Description: CRAN Package 'tablerDash' ('Tabler' API for 'Shiny')
 'R' interface to the 'Tabler' HTML template. See more here
 <https://tabler.io>.  'tablerDash' is a light 'Bootstrap 4' dashboard
 template. There are different layouts available such as a one page dashboard
 or a multi page template, where the navigation menu is contained in the
 navigation bar.

Package: r-cran-tables
Architecture: all
Version: 0.9.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 626
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-htmltools
Suggests: r-cran-magrittr, r-cran-kableextra, r-cran-hmisc, r-cran-bookdown, r-cran-rmarkdown, r-cran-pkgdown, r-cran-formatters, r-cran-tinytable
Filename: pool/dists/focal/main/r-cran-tables_0.9.31-1.ca2004.1_all.deb
Size: 481540
MD5sum: 87ba32d0ce48760c937da728c6023c1a
SHA1: 93b20e79f421de649f3ad00c6962b90f23af55e2
SHA256: 6cbaf24c39d29de4ccaf16a3f9687b2b5960c4149c0870684539a755746eea9a
SHA512: c259cd132a935e637bab9022e4a75410fcadc39e8c8ecc6abaf16ad01edf0517c3d287ca9b0f3ff30a573bc982cfffe55964c3eec199bd5fe0057c13043f4af9
Homepage: https://cran.r-project.org/package=tables
Description: CRAN Package 'tables' (Formula-Driven Table Generation)
 Computes and displays complex tables of summary statistics.  Output may be
 in LaTeX, HTML, plain text, or an R matrix for further processing.

Package: r-cran-tableschema.r
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 745
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-config, r-cran-future, r-cran-httr, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-lubridate, r-cran-purrr, r-cran-r6, r-cran-rcurl, r-cran-rlist, r-cran-stringr, r-cran-urltools
Suggests: r-cran-covr, r-cran-foreach, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tableschema.r_1.1.2-1.ca2004.1_all.deb
Size: 581776
MD5sum: 6162c2048f1a1b4f2a3582586fe53f13
SHA1: 840d28f96119549c6492f657c614190ddb3c28e4
SHA256: a0d3f2b180481877a5f0549818366d8a528439d411a80d18182e4229f908e30f
SHA512: 2768cecec796c36d36b8d578e0950f618289ded686ff5c42b092bc443f9144b0e422b5427e9a2732377b6fcf9637a02ddd3054bcf83433c06e1ff65ac5a93a97
Homepage: https://cran.r-project.org/package=tableschema.r
Description: CRAN Package 'tableschema.r' (Table Schema 'Frictionless Data')
 Allows to work with 'Table Schema'
 (<https://specs.frictionlessdata.io/table-schema/>). 'Table Schema' is well
 suited for use cases around handling and validating tabular data in text
 formats such as 'csv', but its utility extends well beyond this core usage,
 towards a range of applications where data benefits from a portable schema
 format. The 'tableschema.r' package can load and validate any table schema
 descriptor, allow the creation and modification of descriptors, expose
 methods for reading and streaming data that conforms to a 'Table Schema' via
 the 'Tabular Data Resource' abstraction.

Package: r-cran-tablesgg
Architecture: all
Version: 0.9-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1220
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-tables
Suggests: r-cran-ggtext, r-cran-gridtext, r-cran-quadprog, r-cran-xtable, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tablesgg_0.9-1-1.ca2004.1_all.deb
Size: 1036124
MD5sum: 03e09dd1440e209bfc21a0fca50dc7e1
SHA1: fd9411411dc890850f058756b069f31ce6c652d9
SHA256: e115417d3b5f90aff8dba4f0bc822a3edf18f73ebd0f6839c139a7c5e393bc10
SHA512: 39ab997eb73cce112744d2121b8af2305230474be0262eace76f58dac02870cdcb713c7963195e5dd5901333cae524857c9d6a648a76f5aa51978a5307ac7ec6
Homepage: https://cran.r-project.org/package=tablesgg
Description: CRAN Package 'tablesgg' (Presentation-Quality Tables, Displayed Using 'ggplot2')
 Presentation-quality tables are displayed as plots on an R graphics device.
 Although there are other packages that format tables for display, this
 package is unique in combining two features: (a) It is aware of the logical
 structure of the table being presented, and makes use of that for automatic
 layout and styling of the table.  This avoids the need for most manual
 adjustments to achieve an attractive result.  (b) It displays tables using
 'ggplot2' graphics.  Therefore a table can be presented anywhere a graph
 could be, with no more effort.  External software such as LaTeX or HTML or
 their viewers is not required.  The package provides a full set of tools to
 control the style and appearance of tables, including titles, footnotes and
 reference marks, horizontal and vertical rules, and spacing of rows and
 columns.  Methods are included to display matrices; data frames; tables
 created by R's ftable(), table(), and xtabs() functions; and tables created
 by the 'tables' and 'xtable' packages.  Methods can be added to display
 other table-like objects.  A vignette is included that illustrates usage and
 options available in the package.

Package: r-cran-tablespan
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1075
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gt, r-cran-openxlsx, r-cran-rlang, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tablespan_0.2.1-1.ca2004.1_all.deb
Size: 978332
MD5sum: 4c5120a71e692f2c4471f5fa115c4752
SHA1: 30f5da108d37f6b667056e0cf95b33727bf91dd8
SHA256: fd2d3040c27b8981e5ac19ba9ac0853e2143bdaf77064369a3bd3b3bfad1f07e
SHA512: 7f498a504b86fca5da20a010762b633d937ef6e2af9c3c3d23a1972930693c69f7766a88ba2d0a6455ed716cbd4035c420a472655b162eb7b2960a047ee37567
Homepage: https://cran.r-project.org/package=tablespan
Description: CRAN Package 'tablespan' (Create Satisficing 'Excel', 'HTML', 'LaTeX', and 'RTF' Tablesusing a Simple Formula)
 Create "good enough" tables with a single formula. 'tablespan' tables can be
 exported to 'Excel', 'HTML', 'LaTeX', and 'RTF' by leveraging the packages
 'openxlsx' and 'gt'. See <https://jhorzek.github.io/tablespan/> for an
 introduction.

Package: r-cran-tablet
Architecture: all
Version: 0.6.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1931
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-yamlet, r-cran-rlang, r-cran-tidyr, r-cran-kableextra, r-cran-spork, r-cran-magrittr, r-cran-fs, r-cran-reactable
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-boot, r-cran-testthat, r-cran-shiny, r-cran-shinyfiles, r-cran-haven, r-cran-yaml, r-cran-sortable, r-cran-latexpdf, r-cran-tinytex, r-cran-csv, r-cran-xtable, r-cran-shinyace, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-tablet_0.6.12-1.ca2004.1_all.deb
Size: 827736
MD5sum: 9db5dca6c5a97a6a77ffb3e0e2e66805
SHA1: 46551249faa6354036c85f23e6e9f438b9315142
SHA256: 6f07093393d869073eb5001ce0795e24bde6ead8293ed204e545a5ee2510fdb5
SHA512: f03cf75930860377ebd66fb3362f4d00c65975ab3d42cc788b09ac8bd08d8d1f752f8d151a6c16ebb2bfd50ac5018f896dbdfe90fbb47b45a023b75cf13418b7
Homepage: https://cran.r-project.org/package=tablet
Description: CRAN Package 'tablet' (Tabulate Descriptive Statistics in Multiple Formats)
 Creates a table of descriptive statistics for factor and numeric columns in
 a data frame. Displays these by groups, if any. Highly customizable, with
 support for 'html' and 'pdf' provided by 'kableExtra'. Respects original
 column order, column labels, and factor level order.  See ?tablet.data.frame
 and vignettes.

Package: r-cran-tabletolongform
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tabletolongform_1.3.2-1.ca2004.1_all.deb
Size: 82724
MD5sum: 1894b7c77d09b248d300fdb53687db5f
SHA1: 28bf603a7239d7d52358f35e51b291263d440acf
SHA256: 9f6a2867f062904f2ea9f70db1c5cfeef2530ec8b555017e1ab3d69fcb2b35a8
SHA512: 2959a7d8e2244b893fffca5dc7fc3e3457d140e6557dd92181efd6b5303ef9f15c626a1f50d39590296b98a7ea7615759ed7d4356a793cab6181110fd2ec743d
Homepage: https://cran.r-project.org/package=TableToLongForm
Description: CRAN Package 'TableToLongForm' (Automatically Convert Hierarchical for-Human Tables toMachine-Readable LongForm Dataframes)
 A wrapper to a set of algorithms designed to recognise positional cues
 present in hierarchical for-human Tables (which would normally be
 interpreted visually by the human brain) to decompose, then reconstruct the
 data into machine-readable LongForm Dataframes.

Package: r-cran-tablexlsx
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-openxlsx, r-cran-cli
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tablexlsx_1.1.0-1.ca2004.1_all.deb
Size: 664848
MD5sum: 87d3f5956fe5aaae065f5f666f532188
SHA1: ccf3631c0396a8aa35f9e55f1641757eadb9c16c
SHA256: c6ed21d5ea3e02e94a8b95ddcd2454f4b625763fe6539d3591ce6e6cd330f752
SHA512: 82b1929e2d5991939c4658b0421e91661731a7b2c846e45e7e3ce747078befc53dca0b4b504dc45732653cf35312444ecd9299cf2febc6d65554c4e193217d75
Homepage: https://cran.r-project.org/package=tablexlsx
Description: CRAN Package 'tablexlsx' (Export Data Frames to Excel Workbook)
 Collection of functions that allow to export data frames to excel workbook.

Package: r-cran-tabnet
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1659
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-coro, r-cran-data.tree, r-cran-dials, r-cran-dplyr, r-cran-ggplot2, r-cran-hardhat, r-cran-magrittr, r-cran-matrix, r-cran-parsnip, r-cran-progress, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-torch, r-cran-tune, r-cran-vctrs, r-cran-withr, r-cran-zeallot
Suggests: r-cran-cli, r-cran-knitr, r-cran-modeldata, r-cran-patchwork, r-cran-recipes, r-cran-rmarkdown, r-cran-rsample, r-cran-spelling, r-cran-testthat, r-cran-tidymodels, r-cran-tidyverse, r-cran-vip, r-cran-visdat, r-cran-workflows, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-tabnet_0.7.0-1.ca2004.1_all.deb
Size: 1226696
MD5sum: 11969195ec41e12ba319e2bdcb6a1ded
SHA1: f1307c7cf2db6f1f01548da263bdd5c28813d99b
SHA256: 6ad2644a345549acf08150cf8df0d1344f6f6da4227de15b4dd24cd3ed4a25e7
SHA512: 4f0bde556885bc03a3b4ccbedcc50455411c46fbaed8f9f875fe82020045915ddec3423ffad8f55f828d6ad7decea064baae503a4b058ddbb8f3048f41157f1f
Homepage: https://cran.r-project.org/package=tabnet
Description: CRAN Package 'tabnet' (Fit 'TabNet' Models for Classification and Regression)
 Implements the 'TabNet' model by Sercan O. Arik et al. (2019)
 <doi:10.48550/arXiv.1908.07442> with 'Coherent Hierarchical Multi-label
 Classification Networks' by Giunchiglia et al.
 <doi:10.48550/arXiv.2010.10151> and provides a consistent interface for
 fitting and creating predictions.  It's also fully compatible with the
 'tidymodels' ecosystem.

Package: r-cran-taboolar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-taboolar_0.1.0-1.ca2004.1_all.deb
Size: 22192
MD5sum: e027ab9449c22a549356d15c85c49be6
SHA1: 9d3059af3e4734ce8e849560922efc8b652d5ebc
SHA256: a80667afa61730f19a1155e31cd1d62e694c39981450299c4e5e824e45b4e401
SHA512: 82e458e92d08b38cca5d6a32e8ccc9599d14b682831407749ace58165c156c06e71e924e044d2e92980fc862379b0fa1601f6f0eecdf79535be7d2da7ebe5467
Homepage: https://cran.r-project.org/package=taboolaR
Description: CRAN Package 'taboolaR' (Get Data from 'Taboola' via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from 'Taboola' using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-tabr
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1327
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-fansi, r-cran-gridextra, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-png, r-cran-rmarkdown, r-cran-testthat, r-cran-tuner
Filename: pool/dists/focal/main/r-cran-tabr_0.5.2-1.ca2004.1_all.deb
Size: 856388
MD5sum: c02226d0e6673655013d5e8cdf2b1320
SHA1: 7c5d91976652c23f361555dbda48391d8ab5ca5e
SHA256: 05acc94c77afb5cfe5879cdbf7c88e761ea34781385abccf1442155641189c48
SHA512: ba17e79ea526cf56e92317a57e7ebb0669a963e8f68f89af7727e8e9bce0e18cac6e1b25d9363fa005ae113a2f8d7cbe4fe0548c44311af86bea52bb51bca9fb
Homepage: https://cran.r-project.org/package=tabr
Description: CRAN Package 'tabr' (Music Notation Syntax, Manipulation, Analysis and Transcriptionin R)
 Provides a music notation syntax and a collection of music programming
 functions for generating, manipulating, organizing, and analyzing musical
 information in R. Music syntax can be entered directly in character strings,
 for example to quickly transcribe short pieces of music. The package
 contains functions for directly performing various mathematical, logical and
 organizational operations and musical transformations on special object
 classes that facilitate working with music data and notation. The same music
 data can be organized in tidy data frames for a familiar and powerful
 approach to the analysis of large amounts of structured music data.
 Functions are available for mapping seamlessly between these formats and
 their representations of musical information. The package also provides an
 API to 'LilyPond' (<https://lilypond.org/>) for transcribing musical
 representations in R into tablature ("tabs") and sheet music. 'LilyPond' is
 open source music engraving software for generating high quality sheet music
 based on markup syntax. The package generates 'LilyPond' files from R code
 and can pass them to the 'LilyPond' command line interface to be rendered
 into sheet music PDF files or inserted into R markdown documents. The
 package offers nominal MIDI file output support in conjunction with
 rendering sheet music. The package can read MIDI files and attempts to
 structure the MIDI data to integrate as best as possible with the data
 structures and functionality found throughout the package.

Package: r-cran-tabs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2177
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-htmltools, r-cran-htmlwidgets, r-cran-httr, r-cran-jsonlite, r-cran-geojsonio, r-cran-leaflet, r-cran-leaftime, r-cran-leaflet.extras, r-cran-mapedit, r-cran-qs2, r-cran-rlang, r-cran-sf, r-cran-stringi, r-cran-terra, r-cran-gpkg, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-tabs_0.1.1-1.ca2004.1_all.deb
Size: 2029784
MD5sum: e35a173dd2d279efac6bd4778b8f867c
SHA1: 0c06db17f5c70e61326e8eb863aac9df0ad4d3bf
SHA256: 85bcf16d96f02e827c3ec1b662f3db67a3204cdc79de660075367ef42a8fef64
SHA512: 9666a4656c4bf1dec91cff984ad61f375a0e6728a598833c655de78d843e7618398eb32022cb1b605bea6055e4e74e4fc3f18976d4be8db9edb4e120cbe4a36e
Homepage: https://cran.r-project.org/package=tabs
Description: CRAN Package 'tabs' (Temporal Altitudinal Biogeographic Shifts)
 A standardized workflow to reconstruct spatial configurations of
 altitude-bounded biogeographic systems over time. For example, 'tabs' can
 model how island archipelagos expand or contract with changing sea levels or
 how alpine biomes shift in response to tree line movements. It provides
 functionality to account for various geophysical processes such as crustal
 deformation and other tectonic changes, allowing for a more accurate
 representation of biogeographic system dynamics. For more information see De
 Groeve et al. (2025) <doi:10.3897/arphapreprints.e151900>.

Package: r-cran-tabshiftr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1511
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-checkmate, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-tidyselect, r-cran-testthat, r-cran-crayon, r-cran-purrr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-readr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tabshiftr_0.4.1-1.ca2004.1_all.deb
Size: 592380
MD5sum: 052d01a7f39d33a6ff2da2ad5e13a778
SHA1: d4f9766f3ff39158ca2a0b307f5bc50cfc7dd841
SHA256: 3fff4e704e899ddf660ee3850d988326dc151368a474aa1022891eb05519c3fd
SHA512: fff5529603a45dcdd7b448c995a4b7d1136feb506889cb930bbce9f91ec29ffc533a5314dd8ddc90009d04212242da15295d6125547eceecc31a242c74925841
Homepage: https://cran.r-project.org/package=tabshiftr
Description: CRAN Package 'tabshiftr' (Reshape Disorganised Messy Data)
 Helps the user to build and register schema descriptions of disorganised
 (messy) tables. Disorganised tables are tables that are not in a
 topologically coherent form, where packages such as 'tidyr' could be used
 for reshaping. The schema description documents the arrangement of input
 tables and is used to reshape them into a standardised (tidy) output format.

Package: r-cran-tabtibble
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-cran-vctrs
Suggests: r-cran-dplyr, r-cran-glue, r-cran-pander, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-tabtibble_0.0.1-1.ca2004.1_all.deb
Size: 26728
MD5sum: c9aa03cd5a4eccb62cb3ec2362adef87
SHA1: 6babe929bde8a5c37670e51fd008e1f192e57b50
SHA256: e53425ce5f2b44a3837e4636c802e99c6d129c8fa0827cc3a1d609576bff46c6
SHA512: ce0641b3e0e89b1287f5ed63dac71eba1a70ba44aa588fe2dd75cb65b6f2d9b7b62b72a74f5c15cea4ceb73e072c5d94e2c16a2787d35b7b8befef763799db0d
Homepage: https://cran.r-project.org/package=tabtibble
Description: CRAN Package 'tabtibble' (Simplify Reporting Many Tables)
 Simplify reporting many tables by creating tibbles of tables. With
 'tabtibble', a tibble of tables is created with captions and automatic
 printing using 'knit_print()'.

Package: r-cran-tabula
Architecture: all
Version: 3.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2293
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-arkhe, r-cran-khroma
Suggests: r-cran-folio, r-cran-fontquiver, r-cran-knitr, r-cran-markdown, r-cran-rsvg, r-cran-svglite, r-cran-tinysnapshot, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tabula_3.3.1-1.ca2004.1_all.deb
Size: 1047716
MD5sum: f1a8e2ed0b36bee67a10ef5fa1d6d727
SHA1: 2dd246c1ed6ff2a399a9748eb7d09630c075f5e5
SHA256: ebe9437b9c3fd2b24ff147419092317b07d528a5a446c331c22d87d4f16a5fa0
SHA512: b7689eb7fd21fb5eda9a6a8e39737286df22e5a6e7c0f88459986cf3d217d0a83b628fbabaf0d9fd40dea662b13b91a87c5b2ed8a7ad609419b69348f4bdc17f
Homepage: https://cran.r-project.org/package=tabula
Description: CRAN Package 'tabula' (Analysis and Visualization of Archaeological Count Data)
 An easy way to examine archaeological count data. This package provides
 several tests and measures of diversity: heterogeneity and evenness
 (Brillouin, Shannon, Simpson, etc.), richness and rarefaction (Chao1, Chao2,
 ACE, ICE, etc.), turnover and similarity (Brainerd-Robinson, etc.). It
 allows to easily visualize count data and statistical thresholds: rank vs
 abundance plots, heatmaps, Ford (1962) and Bertin (1977) diagrams, etc.

Package: r-cran-tabulapdf
Architecture: all
Version: 1.0.5-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 13935
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-png, r-cran-readr, r-cran-rjava
Suggests: r-cran-knitr, r-cran-miniui, r-cran-shiny, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tabulapdf_1.0.5-5-1.ca2004.1_all.deb
Size: 12518504
MD5sum: c3c7922dc33593dae76fdcdb9039292e
SHA1: d9b8c977df174194d8ab73ebca2b64e2f8cc2fd2
SHA256: 1a4ddd67e6bbd478f39f44db1200d3ac65c47293939f0d3abe4867a3283ea87a
SHA512: 5e55c108f8a1f5b961614da9f1cb12d68adbb5d627785ea21c95be2e511c12a906d63fe98b40f93617d7223611e2d11c9117d63f9e7d816e2adddc19ae9e2051
Homepage: https://cran.r-project.org/package=tabulapdf
Description: CRAN Package 'tabulapdf' (Extract Tables from PDF Documents)
 Bindings for the 'Tabula' <https://tabula.technology/> 'Java' library, which
 can extract tables from PDF files. This tool can reduce time and effort in
 data extraction processes in fields like investigative journalism. It allows
 for automatic and manual table extraction, the latter facilitated through a
 'Shiny' interface, enabling manual areas selection\ with a computer mouse
 for data retrieval.

Package: r-cran-tabularaster
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2324
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-fasterize, r-cran-magrittr, r-cran-raster, r-cran-silicate, r-cran-spatstat.geom, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-tabularaster_0.7.2-1.ca2004.1_all.deb
Size: 2031924
MD5sum: d565629a81a0a978ba3b8365298668e5
SHA1: 543655befc734d73e644432d5311e8dd2ae7e5dc
SHA256: d6372914ba8429ab09becef348095a851ba36c12206961306f09111c59cf989d
SHA512: 3266042e6443e0815e8f2a5a34f8f42b4472bef4eb88a4501e19d305e6035e45b4ae7072e483869f33251c8ff7bbaed4fae76888d93378a4ed6191c4b7570c9f
Homepage: https://cran.r-project.org/package=tabularaster
Description: CRAN Package 'tabularaster' (Tidy Tools for 'Raster' Data)
 Facilities to work with vector and raster data in efficient repeatable and
 systematic work flow. Missing functionality in existing packages is included
 here to allow extraction from raster data with 'simple features' and
 'Spatial' types and to make extraction consistent and straightforward.
 Extract cell numbers from raster data and return the cells as a data frame
 rather than as lists of matrices or vectors. The functions here allow
 spatial data to be used without special handling for the format currently in
 use.

Package: r-cran-tabularmaps
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggforce, r-cran-ggplot2, r-cran-purrr, r-cran-rlang
Suggests: r-cran-countrycode, r-cran-zipangu, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tabularmaps_0.1.0-1.ca2004.1_all.deb
Size: 202792
MD5sum: 607cdda101b356e3e99ee5a312ea3b39
SHA1: 527403d5affa511b8cbad19bcc974990828008de
SHA256: e4a49e3a5e184ab1f1c831aac3aeea80b87363d93e009ef88d77372cedd2a458
SHA512: 6f0b64a298ea5b399deb4981cb5d2bc7d91b49faa848246573ab751aeca7deac4994b89e7e3c77e1ce049ea5367d49ef66e46e366b676ce5a4f2cbb9842d06eb
Homepage: https://cran.r-project.org/package=tabularmaps
Description: CRAN Package 'tabularmaps' (Create Tile-Grid Geographical Maps)
 The 'tabularmap' is one of the visualization methods for efficiently
 displaying data consisting of multiple elements by tiling them.  When
 dealing with geospatial, it corrects for differences in visibility between
 areas.

Package: r-cran-tabulator
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-data.table, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-tabulator_1.0.0-1.ca2004.1_all.deb
Size: 23736
MD5sum: 2e45202e89cbf8fee44ce448966eb508
SHA1: 591866f4001a7c9a99ab8c520ee7fc66659bd528
SHA256: 132ee4a32958cda527d43d7c85c3eb569ee42a81ee2ec16c3bbe9254d8d0011d
SHA512: ba82236f18ea003ac8e60e8a177597c4ef00cd1c29fcf6326b8d5d9162b2bece4147e713f424ead466c043d0d4882bb46480a4bafc5aea0d3152b527291c05b5
Homepage: https://cran.r-project.org/package=tabulator
Description: CRAN Package 'tabulator' (Efficient Tabulation with Stata-Like Output)
 Efficient tabulation with Stata-like output.  For each unique value of the
 variable, it shows the number of observations with that value, proportion of
 observations with that value, and cumulative proportion, in descending order
 of frequency.  Accepts data.table, tibble, or data.frame as input.
 Efficient with big data: if you give it a data.table, tab() uses data.table
 syntax.

Package: r-cran-tabulog
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml
Suggests: r-cran-lubridate, r-cran-knitr, r-cran-readr
Filename: pool/dists/focal/main/r-cran-tabulog_0.1.1-1.ca2004.1_all.deb
Size: 43264
MD5sum: 0c16b564b7fe185110ad62f146233b54
SHA1: 494820c8125e5e818347287a7750d277ad32146e
SHA256: 53ec92c41a2e50dd1d37b9a788d77f5fa55f331f2efbef995b3b2386c7bc8c47
SHA512: 24ec35e7566d5302ad6e08add0e9440d5e33133f1c88dad727b00936680274e50cd16aa30c0a1eaa521e90491ce0f3409da568fe28882562bae42da822fdde05
Homepage: https://cran.r-project.org/package=tabulog
Description: CRAN Package 'tabulog' (Parsing Semi-Structured Log Files into Tabular Format)
 Convert semi-structured log files (such as 'Apache' access.log files) into a
 tabular format (data.frame) using a standard template system.

Package: r-cran-tabusearch
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tabusearch_1.1.1-1.ca2004.1_all.deb
Size: 26188
MD5sum: 2817dc1047f0a9769d69e6ed64d2c0d3
SHA1: 0053bcfbf421c7aa71b76a3ac97ddaaad4fd7e99
SHA256: 9cba9a377db389d7aed7cd0a032eb9f556d44b30ac8e4d5f27d93584206189cb
SHA512: 93b0dce937560d4f5804231f545ca6b184fec693ef16a7efa7c6444be9ef42eb38dc5cef8d2b6855c996215106afe6af02a4cc0b3fdd0ac539ff3ec6a68e27be
Homepage: https://cran.r-project.org/package=tabuSearch
Description: CRAN Package 'tabuSearch' (Tabu Search Algorithm for Binary Configurations)
 Tabu search algorithm for binary configurations. A basic version of the
 algorithm as described by Fouskakis and Draper (2007)
 <doi:10.1111/j.1751-5823.2002.tb00174.x>.

Package: r-cran-tabxplor
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-crayon, r-cran-forcats, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-vctrs, r-cran-cli, r-cran-tidyselect, r-cran-stringi, r-cran-pillar, r-cran-kableextra, r-cran-desctools, r-cran-data.table
Suggests: r-cran-fansi, r-cran-htmltools, r-cran-jmvcore, r-cran-knitr, r-cran-openxlsx, r-cran-r6, r-cran-ggpubr, r-cran-ggplot2, r-cran-cowplot, r-cran-gtable, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat, r-cran-labelled
Filename: pool/dists/focal/main/r-cran-tabxplor_1.3.0-1.ca2004.1_all.deb
Size: 746820
MD5sum: b5bb5bd40f7bfd602f9e89ed521ef04a
SHA1: f985d589cabdff2ae8eaf1783f513aba10e6a6fb
SHA256: 8c0fe0bae92afa6bb07232eed2288af4c18096bb2811ed7068d6d7472b57cf54
SHA512: 2a7acec074fa42c5519635d5fa677700843d02de040171e16fbe2aa3bb436df148b7c4c5f9fe7f2c920bf8ad0d2a296002e6b009c5ba16e6f544db9af80df409
Homepage: https://cran.r-project.org/package=tabxplor
Description: CRAN Package 'tabxplor' (User-Friendly Tables with Color Helpers for Data Exploration)
 Make it easy to deal with multiple cross-tables in data exploration, by
 creating them, manipulating them, and adding color helpers to highlight
 important informations (differences from totals, comparisons between lines
 or columns, contributions to variance, confidence intervals, odds ratios,
 etc.).  All functions are pipe-friendly and render data frames which can be
 easily manipulated. In the same time, time-taking operations are done with
 'data.table' to go faster with big dataframes. Tables can be exported with
 formats and colors to 'Excel', plot and html.

Package: r-cran-tacmagic
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3033
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-r.matlab
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tacmagic_0.3.1-1.ca2004.1_all.deb
Size: 502428
MD5sum: 3026f32c89f53e550de6bec25d797c60
SHA1: 5393686ad7dbd7e1240b4f26dbc80ebc081fea25
SHA256: 9d02099857bdf5ea19eff2092cfc0842c9436d67c2a61c9111feba8ff94ff8f0
SHA512: c4890f0dfd6b3a81cd18b38090cd547475e705bb4c89e9d35d28c5c23a3055e8eef1c9af88ee2be2e091c7632140d207e6fc02b7c8941e7ac8b9ad5f683ea89f
Homepage: https://cran.r-project.org/package=tacmagic
Description: CRAN Package 'tacmagic' (Positron Emission Tomography Time-Activity Curve Analysis)
 To facilitate the analysis of positron emission tomography (PET) time
 activity curve (TAC) data, and to encourage open science and replicability,
 this package supports data loading and analysis of multiple TAC file
 formats. Functions are available to analyze loaded TAC data for individual
 participants or in batches. Major functionality includes weighted TAC
 merging by region of interest (ROI), calculating models including
 standardized uptake value ratio (SUVR) and distribution volume ratio (DVR,
 Logan et al. 1996 <doi:10.1097/00004647-199609000-00008>), basic plotting
 functions and calculation of cut-off values (Aizenstein et al. 2008
 <doi:10.1001/archneur.65.11.1509>). Please see the walkthrough vignette for
 a detailed overview of 'tacmagic' functions.

Package: r-cran-tactile
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1569
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-gridextra, r-cran-latticeextra, r-cran-mass, r-cran-rcolorbrewer
Suggests: r-cran-covr, r-cran-forecast, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tactile_0.2.1-1.ca2004.1_all.deb
Size: 1159012
MD5sum: dcd630ae4a287369a67cf501ba41edfd
SHA1: 341e8fd6aedd679fb8bf428a4ec23181d1ec4ad9
SHA256: dfd859fa0f64cf1b6f9c9f5b1d9aacb8ab090fc841902957c887882f8c97c4ff
SHA512: 0f22af95a06d9e1e00123d982a5eb0ce673bfd4760709a020ef842cce13770ae5827478788029006064e3263083f29969276a5b91c64d7e0c579395574013172
Homepage: https://cran.r-project.org/package=tactile
Description: CRAN Package 'tactile' (New and Extended Plots, Methods, and Panel Functions for'lattice')
 Extensions to 'lattice', providing new high-level functions, methods for
 existing functions, panel functions, and a theme.

Package: r-cran-tad
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dofuture, r-cran-foreach, r-cran-mblm
Suggests: r-cran-cairo, r-cran-covr, r-cran-dplyr, r-cran-devtools, r-cran-future, r-cran-ggplot2, r-cran-ggpubr, r-cran-knitr, r-cran-matrix, r-cran-pkgdown, r-cran-rlang, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-tad_1.0.0-1.ca2004.1_all.deb
Size: 890148
MD5sum: fc16b26ac8f479277a5d1d8d26cf0627
SHA1: a9f3a5f4c7afae72c241efebfc671b9c9a2ffc51
SHA256: 8ce6579eb80f70ce79dac0afc739e82c6f241a5a37453963c4f06bbc877590a3
SHA512: 58538001396cb39fbc7ad557357ccf3dcae85e64bd05c252e34035b87cf7c43dbecb43509bb77b63be0d86b5ce2f66dfcf8ad737c23a5d2884acae3b64b457dc
Homepage: https://cran.r-project.org/package=TAD
Description: CRAN Package 'TAD' (Realize the Trait Abundance Distribution)
 This analytical framework is based on an analysis of the shape of the trait
 abundance distributions to better understand community assembly processes,
 and predict community dynamics under environmental changes. This framework
 mobilized a study of the relationship between the moments describing the
 shape of the distributions: the skewness and the kurtosis (SKR). The SKR
 allows the identification of commonalities in the shape of trait
 distributions across contrasting communities. Derived from the SKR, we
 developed mathematical parameters that summarise the complex pattern of
 distributions by assessing (i) the R², (ii) the Y-intercept, (iii) the
 slope, (iv) the functional stability of community (TADstab), and, (v) the
 distance from specific distribution families (i.e., the distance from the
 skew-uniform family a limit to the highest degree of evenness: TADeve).

Package: r-cran-tada
Architecture: all
Version: 2024.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 523
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-tada_2024.1.0-1.ca2004.1_all.deb
Size: 308608
MD5sum: 2d712ca308243d37ebaa7ee517308919
SHA1: e88174db2a78dffef7bea4436a5892e160f26321
SHA256: cca9432fb1499d191f31fe750d4de1a810c7955ae213271187abd30c72c8a1a8
SHA512: f705c6a073914fbb678b1e3a0efed80ea5ba63d5e9505757f65d4d890f4f1c30440a6cf3438643598e45250d434dce80039154b20c712675b14ed799a4b69746
Homepage: https://cran.r-project.org/package=tada
Description: CRAN Package 'tada' (Supporting Tools for Tada Science)
 Suite of tools to support the practice of tada science. It includes an
 engaging package roulette that is designed to facilitate learning about new
 packages.

Package: r-cran-taf
Architecture: all
Version: 4.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-taf_4.2.0-1.ca2004.1_all.deb
Size: 263784
MD5sum: 91fc3907bf7e1fc964f75960380eac6c
SHA1: ce494536b0bd16dc6beb02f007dbe5c228f9573a
SHA256: 8e61eb2c49c93e5f11657b402df4d4271cde9c13e16187ae9b8c4d67d4fd59ad
SHA512: 3521ba3f3b318486dd846e8c41f69bb1d29a415a93034f2012dcacb31e8f14c4efc83eadc330dda14adf6df17fb9adc1a8c1aadceb5987738130e6f569100e25
Homepage: https://cran.r-project.org/package=TAF
Description: CRAN Package 'TAF' (Transparent Assessment Framework for Reproducible Research)
 Functions to organize data, methods, and results used in scientific
 analyses. A TAF analysis consists of four scripts (data.R, model.R,
 output.R, report.R) that are run sequentially. Each script starts by reading
 files from a previous step and ends with writing out files for the next
 step. Convenience functions are provided to version control the required
 data and software, run analyses, clean residues from previous runs, manage
 files, manipulate tables, and produce figures. With a focus on stability and
 reproducible analyses, TAF is designed to have no package dependencies. TAF
 forms a base layer for the 'icesTAF' package and other scientific
 applications.

Package: r-cran-tagr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tagr_1.0.1-1.ca2004.1_all.deb
Size: 30984
MD5sum: b66dc157a302e02e4f441ca954faba7a
SHA1: 0a9e4dfd23409c08e40d521a434a5f48a6cf7437
SHA256: acac95c7c53325150bb1c9081e4469fd36d24235787da22a770e57c06d05ae21
SHA512: 268fc4fa0c6bdc866ab9c8d6c221a938da023a3c08035548908af5a1540ab20147f3302025004248f21d526da131d28e3de33ec2634a45fc200979393c0236ca
Homepage: https://cran.r-project.org/package=tagr
Description: CRAN Package 'tagr' (Tagging and Organizing Objects in R)
 Provides functions for attaching tags to R objects, searching for objects
 based on tags, and removing tags from objects.  It also includes a function
 for removing all tags from an object, as well as a function for deleting all
 objects with a specific tag from the R environment. The package is useful
 for organizing and managing large collections of objects in R.

Package: r-cran-tagtools
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1369
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-circstats, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-latex2exp, r-cran-lubridate, r-cran-matlab, r-cran-ncdf4, r-cran-plotly, r-cran-pracma, r-cran-readr, r-cran-signal, r-cran-stringr, r-cran-zoo, r-cran-zoom
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tagtools_0.2.0-1.ca2004.1_all.deb
Size: 1257360
MD5sum: 25bc94aadc53666aa4730779c37806be
SHA1: f727094a5a2ce352595e9cfa4b692e58a37eb0ba
SHA256: a41530284d7f0571ce4414fce2b4895d2dcd08b1c096bc3415b11dd6a1c83927
SHA512: 8540510199432be08190ab002af923fe6386c0f24a4aa3d497c4638db47d9fdb852edbc0f8b2c6e5dff587f1ac64a0b6c5454cf9b821927f6fb861e327f642f1
Homepage: https://cran.r-project.org/package=tagtools
Description: CRAN Package 'tagtools' (Work with Data from High-Resolution Biologging Tags)
 High-resolution movement-sensor tags typically include accelerometers to
 measure body posture and sudden movements or changes in speed, magnetometers
 to measure direction of travel, and pressure sensors to measure dive depth
 in aquatic or marine animals. The sensors in these tags usually sample many
 times per second. Some tags include sensors for speed, turning rate
 (gyroscopes), and sound. This package provides software tools to facilitate
 calibration, processing, and analysis of such data. Tools are provided for:
 data import/export; calibration (from raw data to calibrated data in
 scientific units); visualization (for example, multi-panel time-series
 plots); data processing (such as event detection, calculation of derived
 metrics like jerk and dynamic acceleration, dive detection, and dive
 parameter calculation); and statistical analysis (for example, track
 reconstruction, a rotation test, and Mahalanobis distance analysis).

Package: r-cran-tai
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tai_0.2.2-1.ca2004.1_all.deb
Size: 52988
MD5sum: 51dedd246b1474cee43a8dcef4ed387f
SHA1: ab4f366b861877427e991826c96a513d6243b37b
SHA256: ad92a58876b5f2a371583fd2147e3323876d93f32e763bcc1210028627a495ca
SHA512: 013eb700f4eab9cdb4c41559b42f4e5d872b561ee504c7bc8fd6e3198cedf58781179048aa04a452a4b3a8339dcbacb3b66a181c70c6a50dc84f35dcf4a98fe7
Homepage: https://cran.r-project.org/package=tAI
Description: CRAN Package 'tAI' (The tRNA Adaptation Index)
 Functions and example files to calculate the tRNA adaptation index, a
 measure of the level of co-adaptation between the set of tRNA genes and the
 codon usage bias of protein-coding genes in a given genome. The methodology
 is described in dos Reis, Wernisch and Savva (2003)
 <doi:10.1093/nar/gkg897>, and dos Reis, Savva and Wernisch (2004)
 <doi:10.1093/nar/gkh834>.

Package: r-cran-tailclassifier
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-scales
Filename: pool/dists/focal/main/r-cran-tailclassifier_0.1.2-1.ca2004.1_all.deb
Size: 39592
MD5sum: f485fa76c61cfe2db9a323c8f46b333d
SHA1: d79ef570a8e21ddbb649c9b668ec202fcb2bae12
SHA256: b8b592d397cf8c8fa259c838deff6348b874523cdfa749998808643eb117a339
SHA512: eb3ba8ab8356f448abcd74ee231464213fe4ceab093ab27cce006420151683c0f623b56c1802966fa0a978380703f2ee8db3bbf1f34d943fc22b2a0c793e69cd
Homepage: https://cran.r-project.org/package=TailClassifier
Description: CRAN Package 'TailClassifier' (Tail Classifier)
 The function TailClassifier() suggests one of the following types of tail
 for your discrete data: 1) Power decaying tail; 2) Sub-exponential decaying
 tail; and 3) Near-exponential decaying tail. The function also provides an
 estimate of the parameter for the classified-distribution as a reference.

Package: r-cran-tailloss
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-tailloss_1.0-1.ca2004.1_all.deb
Size: 228164
MD5sum: 8a2cde72d0173b14b889d55fca74bffe
SHA1: fad6297318fb1764f8ab51c22cfbf830883f744a
SHA256: 3be266b6771b83532a025f476d7fc7aad5f6cb208f4b6659f5389b13a8abd558
SHA512: f5ea4582ddf99b1ee060b2da6841232b4156e90f81e34b5e0885f0cbf4e697dcebc9ccc7fab1f2c0af6c8a6c7f96c628e9871352cc2319d6043a74a4ec83d65e
Homepage: https://cran.r-project.org/package=tailloss
Description: CRAN Package 'tailloss' (Estimate the Probability in the Upper Tail of the Aggregate LossDistribution)
 Set of tools to estimate the probability in the upper tail of the aggregate
 loss distribution using different methods: Panjer recursion, Monte Carlo
 simulations, Markov bound, Cantelli bound, Moment bound, and Chernoff bound.

Package: r-cran-tailplots
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-resample
Suggests: r-cran-actuar
Filename: pool/dists/focal/main/r-cran-tailplots_0.1.0-1.ca2004.1_all.deb
Size: 59792
MD5sum: 638b2ecfdfe250d4a4ef283c95335c68
SHA1: 70462e081c1d5562467d146bcbeb21b60ee4cb5b
SHA256: 54dffe8fe5a93018567dfa000ccee91494f7855a6d4aab01d9627d6f8bf303fa
SHA512: 8b5da25ebf320ddd558edcd58a94d88924359d80fc8cbfc5d2f1cca4ec4cfd8482411d196bbd6a22f3b522f1de78a008bb9c13f10a2ca28dc6f8e34323d3a40c
Homepage: https://cran.r-project.org/package=tailplots
Description: CRAN Package 'tailplots' (Estimators and Plots for Gamma and Pareto Tail Detection)
 Estimators for two functionals used to detect Gamma or Pareto distributions,
 as well as distributions exhibiting similar tail behavior, as introduced by
 Iwashita and Klar (2023) <doi:10.1111/stan.12316> and Klar (2024)
 <doi:10.1080/00031305.2024.2413081>.  One of these functionals, g,
 originally proposed by Asmussen and Lehtomaa (2017)
 <doi:10.3390/risks5010010>, distinguishes between log-convex and log-concave
 tail behavior.  The package also includes methods for visualizing these
 estimators and their associated confidence intervals across various
 threshold values.

Package: r-cran-tailrank
Architecture: all
Version: 3.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 344
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oompabase, r-bioc-biobase, r-cran-oompadata
Suggests: r-cran-xtable
Filename: pool/dists/focal/main/r-cran-tailrank_3.2.4-1.ca2004.1_all.deb
Size: 209644
MD5sum: fca41e9e9debf63a5d0f0cd31ac4d9ec
SHA1: 38531912f574d609e99c60f033f65da42d3d0bfc
SHA256: f44b9f4a9ec06922978f4c7d237dc6190e2f7139500e90ba0b655f9103026ed4
SHA512: 010f4aa16e098e92c909f77d7139c205bb469b796c57c17f2714f51f94c75296ff47e5aa3829fb177bc62f0414ae73dbfbd303eb7fb75dfb196aa178449306c5
Homepage: https://cran.r-project.org/package=TailRank
Description: CRAN Package 'TailRank' (The Tail-Rank Statistic)
 Implements the tail-rank statistic for selecting biomarkers from a
 microarray data set, an efficient nonparametric test focused on the
 distributional tails. See
 <https://gitlab.com/krcoombes/coombeslab/-/blob/master/doc/papers/tolstoy-new.pdf>.

Package: r-cran-tailtransform
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sensitivitymw, r-cran-sensitivitymult
Filename: pool/dists/focal/main/r-cran-tailtransform_2.0.0-1.ca2004.1_all.deb
Size: 60348
MD5sum: 390337bdea9755c78827657da5d12308
SHA1: e0ae12499e21777432e6ef00ec1a757b01c4bd56
SHA256: c5c5cc79d5f9f034b9e13567e8f21d397c16ab668bac80fc4b7017d8cfff3e5d
SHA512: 0e1d10dbd792797064aa16c76feb4158400d4f26974a81e454d10c8af07151ce8e0f3805dfc6d552610996d7b0b9b69b89ed867895728205e3e2cb1ac0e35fb6
Homepage: https://cran.r-project.org/package=tailTransform
Description: CRAN Package 'tailTransform' (Symmetric Transformation of Tails for Plotting Differences)
 When plotting treated-minus-control differences, after-minus-before changes,
 or difference-in-differences, the ttrans() function symmetrically transforms
 the positive and negative tails to aid plotting.  The package includes an
 observational study with three control groups and an unaffected outcome; see
 Rosenbaum (2022) <doi:10.1080/00031305.2022.2063944>.

Package: r-cran-taipan
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1609
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-ggplot2, r-cran-purrr, r-cran-shinydashboard
Filename: pool/dists/focal/main/r-cran-taipan_0.1.2-1.ca2004.1_all.deb
Size: 1235104
MD5sum: 2ce0f85ef20cc34389ad260ebf0c0c8a
SHA1: 82ea6e2b933ddbf2420f380ae56f47303b88bbb0
SHA256: fdaa431c6a21eb7792736103eed81620538418c617a264e1e9c89e6dff815454
SHA512: 626e358de58e17350606171409adcc90263a378ef1449a4d0cf899fa33401d0b2c5cc3c9bc59cb2e44c9b7e8cdac59cc4740f4e9295c9e47264effc10c7dcbe9
Homepage: https://cran.r-project.org/package=taipan
Description: CRAN Package 'taipan' (Tool for Annotating Images in Preparation for Analysis)
 A tool to help create shiny apps for selecting and annotating elements of
 images. Users must supply images, questions, and answer choices. The user
 interface is a dynamic shiny app, that displays the images and questions and
 answer choices. The data generated can be saved to a file that can be used
 for subsequent analysis. The original purpose was to annotate still images
 from tennis video for face recognition and emotion detection purposes.

Package: r-cran-takos
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-devemf, r-cran-segmented, r-cran-sfsmisc, r-cran-smoother, r-cran-desolve, r-cran-pracma, r-cran-data.table, r-cran-broom, r-cran-colorramps, r-cran-minpack.lm, r-cran-baseline
Filename: pool/dists/focal/main/r-cran-takos_0.2.0-1.ca2004.1_all.deb
Size: 136060
MD5sum: 2d126116b5a95c74c0975e874a2ce7f9
SHA1: d559b3a410a39bbea0ef1ee04272d942032cf9ab
SHA256: c04f9910f00a79c60c68e2e84344d121ddfee5af02ed7cec9f196d7588f6d386
SHA512: b218733cc49666cdee5eeac4cfb43089d45e5584f4e77d6ac12253fc47bd939eab795f9080fb4ba6e8cdefa6e866a95b39a03cd9ef04beda1925dee957477de7
Homepage: https://cran.r-project.org/package=takos
Description: CRAN Package 'takos' (Analysis of Differential Calorimetry Scans)
 It includes functions for applying methodologies utilized for single-process
 kinetic analysis of solid-state processes were recently summarized and
 described in the Recommendation of ICTAC Kinetic Committee. These methods
 work with the basic kinetic equation. The Methodologies included refers to
 Avrami, Friedman, Kissinger, Ozawa, OFM, Mo, Starink, isoconversional
 methodology (Vyazovkin) according to ICATAC Kinetics Committee
 recommendations as reported in Vyazovkin S, Chrissafis K, Di Lorenzo ML, et
 al. ICTAC Kinetics Committee recommendations for collecting experimental
 thermal analysis data for kinetic computations. Thermochim Acta.
 2014;590:1-23. <doi:10.1016/J.TCA.2014.05.036> .

Package: r-cran-talkr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-knitr, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-pkgdown, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-talkr_0.1.3-1.ca2004.1_all.deb
Size: 248612
MD5sum: 2f91e7afd646fd25e41bda45b07b18ed
SHA1: 38ae9e083c718d022a465d1b62809551be0893fe
SHA256: b91b14eca4f5af3f345c9a9893341e22b56e42ac2b2bd68b36eb2cb1dbfa399b
SHA512: 46cfda8b0d79be12d40b26e79177917478117d9c9fb4c6c202acc47356b797c297165ce73f94305fe1dab5a6a69857515919553b7ce64d791b0c1a4d3898e5f3
Homepage: https://cran.r-project.org/package=talkr
Description: CRAN Package 'talkr' (Plotting Conversation Data)
 Visualisation, analysis and quality control of conversational data.  Rapid
 and visual insights into the nature, timing and quality of time-aligned
 annotations in conversational corpora.  For more details, see Dingemanse et
 al., (2022) <doi:10.18653/v1/2022.acl-long.385>.

Package: r-cran-tanaka
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 654
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-mapiso, r-cran-maplegend
Suggests: r-cran-tinytest, r-cran-covr, r-cran-lwgeom
Filename: pool/dists/focal/main/r-cran-tanaka_0.4.0-1.ca2004.1_all.deb
Size: 506692
MD5sum: b258b9704e7ce37c2d70793cf47615b4
SHA1: 85aa16e5489beee8e7fac2629988e83999e158db
SHA256: 9cf45c6bdec495b45b64b070fdb8c6be26938b36a1328421a45eb57d3244b252
SHA512: 3500c5b875202bf23dc9ac3fac9ed08741f04298645ca6f7ba8b109b142bb77cf5d252a32fcd883cf33ffa7024d2ebb6bac7b781c098e1c598f7b94eafc10e72
Homepage: https://cran.r-project.org/package=tanaka
Description: CRAN Package 'tanaka' (Design Shaded Contour Lines (or Tanaka) Maps)
 The Tanaka method enhances the representation of topography on a map using
 shaded contour lines. In this simplified implementation of the method,
 north-west white contours represent illuminated topography and south-east
 black contours represent shaded topography. See Tanaka (1950)
 <doi:10.2307/211219>.

Package: r-cran-tanb
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-tanb_0.1-1.ca2004.1_all.deb
Size: 19516
MD5sum: b202b8f2e3dde2bd05d1f6ab20f2111c
SHA1: 10e4a84c6b8717f2f21588e1ebb7086a45788489
SHA256: b37c3ac78a785f0f3830b44e92cb6bd7f53db16f98609ea92a7f92cfd5fbd311
SHA512: 8db1f8180f4ae62e30c9b965cd8919962c2ace0f1ea60d4d57c2b99d06922f1cd5477edeb56aa42242baa2050df489897d5cff430f1ed124f0aa3676f2461433
Homepage: https://cran.r-project.org/package=TanB
Description: CRAN Package 'TanB' (The TanB Distribution)
 Density, distribution function, quantile function, random generation and
 survival function for the Tangent Burr Type XII Distribution as defined by
 SOUZA, L. New Trigonometric Class of Probabilistic Distributions.  219 p.
 Thesis (Doctorate in Biometry and Applied Statistics) - Department of
 Statistics and Information, Federal Rural University of Pernambuco, Recife,
 Pernambuco, 2015 (available at
 <http://www.openthesis.org/documents/New-trigonometric-classes-probabilistic-distributions-602633.html>)
 and BRITO, C. C. R. Method Distributions generator and Probability
 Distributions Classes. 241 p. Thesis (Doctorate in Biometry and Applied
 Statistics) - Department of Statistics University of Pernambuco, Recife,
 Pernambuco, 2014 (available upon request).

Package: r-cran-tandem
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tandem_1.0.3-1.ca2004.1_all.deb
Size: 95004
MD5sum: 400fc98a247a6f2ad1784f9336d03ec6
SHA1: bf26e4417e6964ca1e4f44ad3c7dc1b67bf6e21f
SHA256: 1d0f15df0bc1c502455a6faabc96bc68919ffc7df2bce215a77a38b52df3dc7f
SHA512: 67c78ee9ac196d12d4d5bb99ebe6c750b7aef77ab290da5439f2958113cbda18b3340ffe02b82c0282b5f1173d6b25162733fef7ad94936e10302a9dcaf784c3
Homepage: https://cran.r-project.org/package=TANDEM
Description: CRAN Package 'TANDEM' (A Two-Stage Approach to Maximize Interpretability of DrugResponse Models Based on Multiple Molecular Data Types)
 A two-stage regression method that can be used when various input data types
 are correlated, for example gene expression and methylation in drug response
 prediction. In the first stage it uses the upstream features (such as
 methylation) to predict the response variable (such as drug response), and
 in the second stage it uses the downstream features (such as gene
 expression) to predict the residuals of the first stage. In our manuscript
 (Aben et al., 2016, <doi:10.1093/bioinformatics/btw449>), we show that using
 TANDEM prevents the model from being dominated by gene expression and that
 the features selected by TANDEM are more interpretable.

Package: r-cran-tangledfeatures
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 340
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-correlation, r-cran-data.table, r-cran-dplyr, r-cran-fastdummies, r-cran-ggplot2, r-cran-igraph, r-cran-janitor, r-cran-matrix, r-cran-purrr, r-cran-ranger
Suggests: r-cran-knitr, r-cran-r.rsp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tangledfeatures_0.1.1-1.ca2004.1_all.deb
Size: 235768
MD5sum: cf99e188c893d162c85cfcd17e9e70fc
SHA1: 7a9f03400b9d3b743e6fab8c68d52ee3f9ba8487
SHA256: 464a18f9e25df810c56bf8c2e70a3520159c048b2e6b014681b7b10b4638e0a9
SHA512: d1d81281ff4d3844e2ae499991ebae5d2974ef6c27490c8fa25056ac7a08d4ebb6ca0cfa40c9560bd7fe7339590ad628c3341cd9f86df3f6eb16ce81a5c29219
Homepage: https://cran.r-project.org/package=TangledFeatures
Description: CRAN Package 'TangledFeatures' (Feature Selection in Highly Correlated Spaces)
 Feature selection algorithm that extracts features in highly correlated
 spaces. The extracted features are meant to be fed into simple explainable
 models such as linear or logistic regressions. The package is useful in the
 field of explainable modelling as a way to understand variable behavior.

Package: r-cran-tangles
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1650
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-terra, r-cran-sf, r-cran-digest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tangles_2.0.1-1.ca2004.1_all.deb
Size: 1529228
MD5sum: 00a3384f29441201cd897b198e972762
SHA1: b33a20d732e113a3c5a5eb3b0b9f02bf036553b6
SHA256: df3efe1725b30ba478f8c69863e1e61d3d49a7f66ebed668d181ec44a500f884
SHA512: e6d73fe3c2c580e2432e48344c4a32de6e3a1c2e872f841f173aed6f03dfd18e17ae3b89ce524b9dfbc0d63bd316fcaf40e49d928cda3909f5cb5e573d9b44b1
Homepage: https://cran.r-project.org/package=tangles
Description: CRAN Package 'tangles' (Anonymisation of Spatial Point Patterns and Grids)
 Methods for anonymisation of spatial datasets while preserving spatial
 structure and relationships. Original coordinates or raster geometries are
 transformed using randomized or predefined vertical shifts, horizontal
 shifts, and rotations. Compatible with point-based data in 'matrix',
 'data.frame', or 'sf' formats, as well as 'terra' raster objects. Supports
 reversible anonymisation workflows, hash-based validation, shapefile export,
 and consistent tangling across related datasets using stored transformation
 sequences. Approach informed by the De-Identification Decision Making
 Framework (CM O’Keefe, S Otorepec, M Elliot, E Mackey, and K O’Hara 2017)
 <doi:10.4225/08/59c169433efd4>.

Package: r-cran-tangpoemr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jiebar
Filename: pool/dists/focal/main/r-cran-tangpoemr_0.1.0-1.ca2004.1_all.deb
Size: 20312
MD5sum: 9e75df40f850c6a588dc0a07433896c8
SHA1: 74acf01035ddd6f2a3a5e04c9fc1b6aaea6bfc89
SHA256: 15ba804dbed7f941d469d9b3ff20429b83686f2587623fa9e589d9d5ef6aa3eb
SHA512: 18a0824d219c288d0ce7387f410fdd91d7d5148a31365c157cec453339dc38bad7a0e7de2d1acc523f8cbc173e59086892b571d9cc79cd6554fdf414773b3766
Homepage: https://cran.r-project.org/package=TangPoemR
Description: CRAN Package 'TangPoemR' (Write Chinese Tang Poems)
 Write Chinese Tang Poems automatically.

Package: r-cran-tangram.pipe
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tangram.pipe_1.1.2-1.ca2004.1_all.deb
Size: 183912
MD5sum: 3e8d8301b21abf4675c407469ad2c681
SHA1: 9b8d37cab7db371618415cf2a47ce2f045e703b0
SHA256: fede2ee73e41d3edf638c65b87a829b9ce021c8f2e4160ed7a088bf5cf44ba0b
SHA512: 21274eefec743c8440e46218a535afedededd2c7db597f9f729fb324a849df487582e81e93ef87e34cc44196e90f7ce4370b22dd53e69e14599d830e6f722ddb
Homepage: https://cran.r-project.org/package=tangram.pipe
Description: CRAN Package 'tangram.pipe' (Row-by-Row Table Building)
 Builds tables with customizable rows. Users can specify the type of data to
 use for each row, as well as how to handle missing data and the types of
 comparison tests to run on the table columns.

Package: r-cran-tangram
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 935
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-r6, r-cran-magrittr, r-cran-knitr, r-cran-stringi, r-cran-stringr, r-cran-base64enc, r-cran-digest, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-rms, r-cran-rmarkdown, r-cran-hmisc, r-cran-sandwich, r-cran-dplyr, r-cran-matching, r-cran-epitools
Filename: pool/dists/focal/main/r-cran-tangram_0.8.2-1.ca2004.1_all.deb
Size: 794308
MD5sum: b11ea54f7fd2335a45708716dc95269c
SHA1: 797884ed75ecda49694a9c29480a4d183ed95505
SHA256: b638e444abdf452ed76a02fe04215fdd0b2dc2e09e33165896aa83cf63b53a44
SHA512: 9148ed51da5100b6bc5e42109c558874188df9627bc4854eda7074db73c2bcf86c9ae99b8eed50d526a35c323793af2b4d0e7f5995a86948aa2ba3f9e7260d5e
Homepage: https://cran.r-project.org/package=tangram
Description: CRAN Package 'tangram' (The Grammar of Tables)
 Provides an extensible formula system to quickly and easily create
 production quality tables. The processing steps are a formula parser,
 statistical content generation from data as defined by formula, followed by
 rendering into a table. Each step of the processing is separate and user
 definable thus creating a set of composable building blocks for highly
 customizable table generation. A user is not limited by any of the choices
 of the package creator other than the formula grammar. For example, one
 could chose to add a different S3 rendering function and output a format not
 provided in the default package, or possibly one would rather have Gini
 coefficients for their statistical content in a resulting table. Routines to
 achieve New England Journal of Medicine style, Lancet style and
 Hmisc::summaryM() statistics are provided. The package contains rendering
 for HTML5, Rmarkdown and an indexing format for use in tracing and tracking
 are provided.

Package: r-cran-taper
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nlme, r-cran-pracma
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taper_0.5.3-1.ca2004.1_all.deb
Size: 336120
MD5sum: c838f1b595c5ad305ab03589903b468d
SHA1: 532ce6bf0414e77e341b5e44087967f776172963
SHA256: 278a3ce650edd00e29e29e3273c0e67cb6942cc0074c51ce7fbc01dfeb79c9bc
SHA512: 6264758031e9caebf1a0d720974d0270cd3d6b9df3864d06f03f60298d07a02e7ae8624b629b6a6d5a992f86fa42fbd248e952ee11892885a76d093c8d7a694d
Homepage: https://cran.r-project.org/package=TapeR
Description: CRAN Package 'TapeR' (Flexible Tree Taper Curves Based on Semiparametric Mixed Models)
 Implementation of functions for fitting taper curves (a semiparametric
 linear mixed effects taper model) to diameter measurements along stems.
 Further functions are provided to estimate the uncertainty around the
 predicted curves, to calculate timber volume (also by sections) and marginal
 (e.g., upper) diameters.  For cases where tree heights are not measured,
 methods for estimating additional variance in volume predictions resulting
 from uncertainties in tree height models (tariffs) are provided.  The
 example data include the taper curve parameters for Norway spruce used in
 the 3rd German NFI fitted to 380 trees and a subset of section-wise diameter
 measurements of these trees. The functions implemented here are detailed in
 Kublin, E., Breidenbach, J., Kaendler, G. (2013)
 <doi:10.1007/s10342-013-0715-0>.

Package: r-cran-tapkee
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-scatterplot3d, r-cran-rgl, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-tapkee_1.2-1.ca2004.1_all.deb
Size: 225056
MD5sum: 695b05e1acd97c5cd115d6ea81673502
SHA1: 76973dd2e80965c51f6253b226c0f9d2cf4e75fc
SHA256: 25e2776a1108a44fa93a61b39bb385dc0e25906f1afb35b7acb1d70ac5b9a301
SHA512: ac25954cc6e66178b1f7b954887b6b1def064d6e30f65b7324929d8ca1905031b88563f229e847f7f3b874a1bc636a0c898230e348da738f8ada750ed7fe9110
Homepage: https://cran.r-project.org/package=tapkee
Description: CRAN Package 'tapkee' (Wrapper for 'tapkee' Dimension Reduction Library)
 Wrapper for using 'tapkee' command line utility, it allows to run it from
 inside R and catch the results for further analysis and plotting.  'Tapkee'
 is a program for fast dimension reduction, see 'package?tapkee' and
 <http://tapkee.lisitsyn.me/> for installation and other details.

Package: r-cran-taplock
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 658
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-glue, r-cran-httr2, r-cran-jose, r-cran-lubridate, r-cran-promises, r-cran-purrr, r-cran-stringr, r-cran-shiny, r-cran-tower
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taplock_0.2.0-1.ca2004.1_all.deb
Size: 481224
MD5sum: 0184b87f8ddde7782566c407d8939663
SHA1: 4fc6b4e4137df81eef869c7c61117cdca932577b
SHA256: 2b031c23c0f3accb45b4dd063e702c2be2f40a8e5087923d131e8330a8784f2d
SHA512: 77cedba48af518b9573850a750e3e711c55650ccade7071d65f2454ad92c4f32d920b1a61ab9fb471db1a01d06fc3e9517b6b83fdd5755ae42de0694925b3491
Homepage: https://cran.r-project.org/package=tapLock
Description: CRAN Package 'tapLock' (Seamless Single Sign-on for 'shiny')
 Swift and seamless Single Sign-On (SSO) integration. Designed for effortless
 compatibility with popular Single Sign-On providers like Google and
 Microsoft, it streamlines authentication, enhancing both user experience and
 application security. Elevate your 'shiny' applications for a simplified,
 unified, and secure authentication process.

Package: r-cran-tapnet
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-bipartite, r-cran-mpsem, r-cran-phytools, r-cran-vegan
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tapnet_0.3-1.ca2004.1_all.deb
Size: 272760
MD5sum: a3d1315bcbd9bb27358ca418a1c87911
SHA1: 132a9d84f899178da1663ba2c06a9463eb61f919
SHA256: f658b71e566eec263e32f724d13fa465a868dfd1881265e61cff69d0df3cf542
SHA512: c3f76c8a6ee9b48bff7f57dfd702c0c9d99588e2c96016dd5f9ca39810c21040bc7297c3aa161af733c8e4f6ed6afc1e2cf51025c32374fe83b27ab8a94a490d
Homepage: https://cran.r-project.org/package=tapnet
Description: CRAN Package 'tapnet' (Trait Matching and Abundance for Predicting Bipartite Networks)
 Functions to produce, fit and predict from bipartite networks with
 abundance, trait and phylogenetic information. Its methods are described in
 detail in Benadi, G., Dormann, C.F., Fruend, J., Stephan, R. & Vazquez, D.P.
 (2021) Quantitative prediction of interactions in bipartite networks based
 on traits, abundances, and phylogeny. The American Naturalist, in press.

Package: r-cran-tar
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-tar_1.0-1.ca2004.1_all.deb
Size: 155020
MD5sum: 6a8440b3780a2d61a91dbb41a339267a
SHA1: a98664510a56cabf6431bef03caf1d126d1919b1
SHA256: 00955663ae4b415fd6085ee45f60f440d781aab1c6bc5cf1c12ba9b58a4630b3
SHA512: 5630f1c19ad0b7a71eabe04d2a06e2d0ded947587c427776f9f88c192a78647dee71c1c645cab59d9d77fabcf0e6af9a5434a204046d5a8ccb23c71f48d1d4dc
Homepage: https://cran.r-project.org/package=TAR
Description: CRAN Package 'TAR' (Bayesian Modeling of Autoregressive Threshold Time Series Models)
 Identification and estimation of the autoregressive threshold models with
 Gaussian noise, as well as positive-valued time series. The package provides
 the identification of the number of regimes, the thresholds and the
 autoregressive orders, as well as the estimation of remain parameters. The
 package implements the methodology from the 2005 paper: Modeling Bivariate
 Threshold Autoregressive Processes in the Presence of Missing Data
 <DOI:10.1081/STA-200054435>.

Package: r-cran-tarchetypes
Architecture: all
Version: 0.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-rlang, r-cran-secretbase, r-cran-targets, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs, r-cran-withr
Suggests: r-cran-curl, r-cran-knitr, r-cran-nanoparquet, r-cran-quarto, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-tarchetypes_0.13.1-1.ca2004.1_all.deb
Size: 887280
MD5sum: dcf87fc55d15c6074a1bf6e43a017f21
SHA1: 44cd67043eb9fc45434e5d0172b7ae0af8be2422
SHA256: 0138930c1c2e5cee1be40794d8186b593ebfc09b2efd41defadc61c66a818eec
SHA512: 05247b54ee40e88615718e268e7bb91a61dbba61ef5ea9a4c6445e5b9928d433fcb2f25ad6254c36b8f935e8dfb1a2862dd7bf7c3b62612578c650def7bd2f26
Homepage: https://cran.r-project.org/package=tarchetypes
Description: CRAN Package 'tarchetypes' (Archetypes for Targets)
 Function-oriented Make-like declarative pipelines for Statistics and data
 science are supported in the 'targets' R package.  As an extension to
 'targets', the 'tarchetypes' package provides convenient user-side functions
 to make 'targets' easier to use.  By establishing reusable archetypes for
 common kinds of targets and pipelines, these functions help express
 complicated reproducible pipelines concisely and compactly.  The methods in
 this package were influenced by the 'targets' R package.  by Will Landau
 (2018) <doi:10.21105/joss.00550>.

Package: r-cran-tarchives
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-callr, r-cran-fs, r-cran-rlang, r-cran-targets, r-cran-usethis, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tarchives_0.1.1-1.ca2004.1_all.deb
Size: 61868
MD5sum: b5ef8120ef50d25162d301aa9afed6fa
SHA1: c03b8ea71fab1d026a78bd2444ba585d343c0f09
SHA256: 5660f5713ecf7d99a6f62eaa96140ab74e8d361db7cfe3b2280da24e09df4333
SHA512: 18a48fd286931d4dfbe2c622d12b7ad63df34eed34d5d97afc8349d86d71344bb8a2f8203179f47add79388e194e616a992e4d3e42e80698b22b4dfe33900cd3
Homepage: https://cran.r-project.org/package=tarchives
Description: CRAN Package 'tarchives' (Make Your 'targets' Pipelines into a Package)
 Runs 'targets' pipeline in '/inst/tarchives' and stores the results in the R
 user directory. This means that the user does not have to run the process
 repeatedly, and the developer has the flexibility to update the data as
 versions are updated.

Package: r-cran-targets
Architecture: all
Version: 1.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2877
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-base64url, r-cran-callr, r-cran-cli, r-cran-codetools, r-cran-data.table, r-cran-igraph, r-cran-knitr, r-cran-prettyunits, r-cran-ps, r-cran-r6, r-cran-rlang, r-cran-secretbase, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs, r-cran-yaml
Suggests: r-cran-autometric, r-cran-bslib, r-cran-clustermq, r-cran-crew, r-cran-curl, r-cran-dt, r-cran-dplyr, r-cran-fst, r-cran-future, r-cran-future.batchtools, r-cran-future.callr, r-cran-gargle, r-cran-googlecloudstorager, r-cran-gt, r-cran-keras, r-cran-markdown, r-cran-nanonext, r-cran-rmarkdown, r-cran-parallelly, r-cran-paws.common, r-cran-paws.storage, r-cran-pkgload, r-cran-processx, r-cran-qs2, r-cran-reprex, r-cran-rstudioapi, r-cran-r.utils, r-cran-shiny, r-cran-shinybusy, r-cran-shinywidgets, r-cran-tarchetypes, r-cran-testthat, r-cran-torch, r-cran-usethis, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-targets_1.11.3-1.ca2004.1_all.deb
Size: 2515992
MD5sum: 58154a803bcc5e3623d712d5b96fea5f
SHA1: f4215a9c053b73db40f654cf759be3880094b275
SHA256: 5a7dc69b12259eafbebceca079eecb0597ae67b5eedf6ef40d6ad3ac70b7df6a
SHA512: 2316bc95bee52a87794af29a150db2f9d0d03e60ee6224d1690bce05689304562fe93d21e751dcf9e2f0505c4d3dde0283e8fe63b6b76ae45713671d2923e5e7
Homepage: https://cran.r-project.org/package=targets
Description: CRAN Package 'targets' (Dynamic Function-Oriented 'Make'-Like Declarative Pipelines)
 Pipeline tools coordinate the pieces of computationally demanding analysis
 projects.  The 'targets' package is a 'Make'-like pipeline tool for
 statistics and data science in R. The package skips costly runtime for tasks
 that are already up to date, orchestrates the necessary computation with
 implicit parallel computing, and abstracts files as R objects. If all the
 current output matches the current upstream code and data, then the whole
 pipeline is up to date, and the results are more trustworthy than otherwise.
 The methodology in this package borrows from GNU 'Make' (2015,
 ISBN:978-9881443519) and 'drake' (2018, <doi:10.21105/joss.00550>).

Package: r-cran-tariff
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tariff_1.0.5-1.ca2004.1_all.deb
Size: 55096
MD5sum: d37226297306ab179d80783ad15c0598
SHA1: a2b80f332cd942c654cdde1a22837515196c6866
SHA256: abb03d717c45ae2159548b774ef75e86cb3a14eb8d1f9326c086d47435c38647
SHA512: 9ac9533bc0b0f242d8d1a2069e6e7ede8e49bf8f9a57b78a180239d64459bb322164b6457e5044fbe4d77d6b04333ee0327d39e2515e7fc4568ca31aaeff7363
Homepage: https://cran.r-project.org/package=Tariff
Description: CRAN Package 'Tariff' (Replicate Tariff Method for Verbal Autopsy)
 Implement the Tariff algorithm for coding cause-of-death from verbal
 autopsies. The Tariff method was originally proposed in James et al (2011)
 <DOI:10.1186/1478-7954-9-31> and later refined as Tariff 2.0 in Serina, et
 al. (2015) <DOI:10.1186/s12916-015-0527-9>. Note that this package was not
 developed by authors affiliated with the Institute for Health Metrics and
 Evaluation and thus unintentional discrepancies may exist between the this
 implementation and the implementation available from IHME.

Package: r-cran-tashiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-igraph, r-cran-tm, r-cran-snowballc, r-cran-dplyr, r-cran-wordcloud2
Filename: pool/dists/focal/main/r-cran-tashiny_0.1.0-1.ca2004.1_all.deb
Size: 71048
MD5sum: c681a09a23b85440ca6dcd3562992fdc
SHA1: 4accc85a8e4383d4e79e3d91fa437eacc0d68f38
SHA256: 0dfadb242e2e0728c5034851076b01c235c1f68f83a76f5f334a1d8443b8c48d
SHA512: 033c2116a46de00f0bb3e533f9983d42e14c3062eace949e476237f4de40c9495b84698bbb4cdb51402c782e3e2eef6009d7bcdf70bc70441cf2699d276741bf
Homepage: https://cran.r-project.org/package=TAShiny
Description: CRAN Package 'TAShiny' ('Text Analyzer Shiny')
 Interactive shiny application for working with textmining and text
 analytics. Various visualizations are provided.

Package: r-cran-tashu
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-lubridate, r-cran-dplyr, r-cran-randomforest, r-cran-plyr, r-cran-reshape2, r-cran-rcolorbrewer, r-cran-drat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tashu_0.1.1-1.ca2004.1_all.deb
Size: 82992
MD5sum: 032d4d30a0b4a445a8153bdc6b11b391
SHA1: 239ebf8ac340bcaa26469c68785d827a44b5bf1f
SHA256: ab6cee6d8f26463e5b4f9229f59a2fab7593aaa877fe3b94f636e0c77ee0153c
SHA512: 20d1d41b4376b4847b9e0d54ea0e92a58201e6292c03d987a97079510d8516007863ad576a8bffed8c11ec3492a35b337689c703dd102d31353e30fc7f0cc6f5
Homepage: https://cran.r-project.org/package=tashu
Description: CRAN Package 'tashu' (Analysis and Prediction of Bicycle Rental Amount)
 Provides functions for analyzing citizens' bicycle usage pattern and
 predicting rental amount on specific conditions.  Functions on this package
 interacts with data on 'tashudata' package, a 'drat' repository.
 'tashudata' package contains rental/return history on public bicycle
 system('Tashu'), weather for 3 years and bicycle station information.  To
 install this data package, see the instructions at
 <https://github.com/zeee1/Tashu_Rpackage>.  top10_stations(), top10_paths()
 function visualizes image showing the most used top 10 stations and paths.
 daily_bike_rental() and monthly_bike_rental() shows daily, monthly amount of
 bicycle rental.  create_train_dataset(), create_test_dataset() is data
 processing function for prediction.  Bicycle rental history from 2013 to
 2014 is used to create training dataset and that on 2015 is for test
 dataset.  Users can make random-forest prediction model by using
 create_train_model() and predict amount of bicycle rental in 2015 by using
 predict_bike_rental().

Package: r-cran-tastypie
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4937
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-rcolorbrewer, r-cran-shadowtext, r-cran-tibble, r-cran-packcircles, r-cran-fmsb
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat, r-cran-jpeg, r-cran-patternplot
Filename: pool/dists/focal/main/r-cran-tastypie_0.1.1-1.ca2004.1_all.deb
Size: 3078572
MD5sum: 7207c70e2d8692a01c328ab27cdd60cc
SHA1: 7efec2df98da2a46b6094851a417d4a2cbd527c9
SHA256: da88936d6713241e9e380aedb7b70378ab4ca901adbf2d84c2e12d6151544e8f
SHA512: e6f8976f8903ecd0951510099fb743169461526f31a52df153c7bbb110a8ca682661892b068762f9a38f14bedc69332515be90ba3c3b1d5fe469ae5977c9f6ce
Homepage: https://cran.r-project.org/package=tastypie
Description: CRAN Package 'tastypie' (Easy Pie Charts)
 You only need to type 'why pie charts are bad' on Google to find thousands
 of articles full of (valid) reasons why other types of charts should be
 preferred over this one.  Therefore, because of the little use due to the
 reasons already mentioned, making pie charts (and related) in R is not
 straightforward, so other functions are needed to simplify things.  In this
 R package there are useful functions to make 'tasty' pie charts immediately
 by exploiting the many cool templates provided.

Package: r-cran-tatest
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tatest_1.0-1.ca2004.1_all.deb
Size: 345768
MD5sum: 563e52472405551f3d7775bc4c9a0018
SHA1: 21b0c215f10875a9890cbda63870545ee82800ed
SHA256: 489c23e552dccdf0dca0ee85e9f4d36c048d63eb74ff16d1212cdb4bb39711ae
SHA512: 26715a0862654970d00e9558db98a451cf21eaa666593fae0ccd02b7d4a7a18b2a94fb1c528a22203dea3a64e192b81465b324ec7911b5a815fb3010c78209ab
Homepage: https://cran.r-project.org/package=tatest
Description: CRAN Package 'tatest' (Two-Group Ta-Test)
 The ta-test is a modified two-sample or two-group t-test of Gosset (1908).
 In small samples with less than 15 replicates,the ta-test significantly
 reduces type I error rate but has almost the same power with the t-test and
 hence can greatly enhance reliability or reproducibility of discoveries in
 biology and medicine. The ta-test can test single null hypothesis or
 multiple null hypotheses without needing to correct p-values.

Package: r-cran-tatoo
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-magrittr, r-cran-data.table, r-cran-openxlsx, r-cran-stringi, r-cran-colt, r-cran-crayon, r-cran-withr
Suggests: r-cran-testthat, r-cran-rprojroot, r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tatoo_1.1.2-1.ca2004.1_all.deb
Size: 349144
MD5sum: e516b3e8bc875774df73c7a12a544172
SHA1: 6b17ff945090182a60e85d61621eb7c4ef8bd280
SHA256: 0880dca5d753dadf474a2099133069d04e037fd66a1eea87de6f6de232e58a0c
SHA512: f2e14c520a440d6523065949581885a27e3ff694218b1b96e745fd32b552cfdb381da9e0ff1503c9c8c773a218f9c15e6097976057ee6700c3fe41c359cdb3e0
Homepage: https://cran.r-project.org/package=tatoo
Description: CRAN Package 'tatoo' (Combine and Export Data Frames)
 Functions to combine data.frames in ways that require additional effort in
 base R, and to add metadata (id, title, ...) that can be used for printing
 and xlsx export. The 'Tatoo_report' class is provided as a convenient helper
 to write several such tables to a workbook, one table per worksheet. Tatoo
 is built on top of 'openxlsx', but intimate knowledge of that package is not
 required to use tatoo.

Package: r-cran-tatooheene
Architecture: all
Version: 0.19.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-assertthat, r-cran-tidyr
Suggests: r-cran-cbsodatar, r-cran-lubridate, r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tatooheene_0.19.0-1.ca2004.1_all.deb
Size: 68956
MD5sum: b907cccfb76ac44ff077e6c375ac0354
SHA1: 9d55a46c77f899ff3aec5c5711b84c2f37ea8057
SHA256: ce5a1ac4e19b6dd4a21b7aa99a0ee6380488da89e49ffd2fe8540809124081b1
SHA512: 3dcac637180839e9afece025d0a27d7ee768587dce751a3cf45e75729e213624b563088c8d1027f146c41de8c16dcadeecdc83b1c48a1befd1d712cc014c05e3
Homepage: https://cran.r-project.org/package=tatooheene
Description: CRAN Package 'tatooheene' (Technology Appraisal Toolbox for Health Economic Evaluations inthe Netherlands)
 Functions to support economic modelling in R based on the methods of the
 Dutch guideline for economic evaluations in healthcare
 <https://www.zorginstituutnederland.nl/publicaties/publicatie/2024/01/16/richtlijn-voor-het-uitvoeren-van-economische-evaluaties-in-de-gezondheidszorg>,
 CBS data <https://www.cbs.nl/>, and OECD data
 <https://www.oecd.org/en.html>.

Package: r-cran-tauprocess
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-tauprocess_2.1.3-1.ca2004.1_all.deb
Size: 58356
MD5sum: f27c7742a3d546265555ff6d4e19c402
SHA1: 3e45a2e36b33af2b3b58aaabcb1d6d3153519ee9
SHA256: 1ed485f96e3ef63f0ce0134badb6dffe21dfc4a9d0bf611b8d8be9e9e22e36ab
SHA512: 534a1d16eb26444e54b646a99e102a49f09154c9c67260da4770ed7f34a6f6f073b186a5e78f3e07e25c2900f545ca4ca26261ae1b97456e28a6d588490f9153
Homepage: https://cran.r-project.org/package=tauProcess
Description: CRAN Package 'tauProcess' (Tau Measure with Right-Censored Data)
 A clinically meaningful measures of treatment effects for right-censored
 data are provided, based on the concept of Kendall's tau, along with the
 corresponding inference procedures.  Two plots of tau processes, with the
 option to account for the cure fraction or not, are available.  The plots of
 tau processes serve as useful graphical tools for monitoring the relative
 performances over time.

Package: r-cran-tauturri
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 421
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-magrittr, r-cran-plyr, r-cran-purrr, r-cran-tibble
Suggests: r-cran-covr, r-cran-dplyr, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-tauturri_0.3.0-1.ca2004.1_all.deb
Size: 313160
MD5sum: a4642f83fc79cbbee28715351cb607ee
SHA1: e88e5fe7d8ac1e6974c8576cc8279c611a1644a9
SHA256: 912955e903e3aad75f2aa88676e45acc55851fe79d98e15f339de8a6202998a3
SHA512: 120bd840999d6f805e89f3e582945855acfcd0717baa8811e8bfab1c900dbcef577448afdaccd3ed59a21c859290849eb8c64acc3a0af0e1b5e085f9c20bcbc3
Homepage: https://cran.r-project.org/package=tauturri
Description: CRAN Package 'tauturri' (Get Data Out of 'Tautulli' (Formerly 'PlexPy'))
 'Tautulli' (<http://tautulli.com>) is a monitoring application for 'Plex'
 Media Servers (<https://www.plex.tv>) which collects a lot of data about
 media items and server usage such as play counts. This package interacts
 with the 'Tautulli' API of any specified server to get said data into R. The
 'Tautulli' API documentation is available at
 <https://github.com/Tautulli/Tautulli/blob/master/API.md>.

Package: r-cran-taxa
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vctrs, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-rlang, r-cran-stringr, r-cran-crayon, r-cran-pillar, r-cran-viridislite, r-cran-cli
Suggests: r-cran-roxygen2, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-taxa_0.4.3-1.ca2004.1_all.deb
Size: 362624
MD5sum: 6d44ddde4c3684e9c2457c6a867b9712
SHA1: b1d1940b871c9e91464de221a9853553320e711f
SHA256: c4382f9b2212ce85655c2b4cb4c70e2b14c71428d1f25777bb2b7301fc373646
SHA512: 8a18eba36b230d8faadd164a3224959b1c3cbd82c4365e6465cdf82ce17240b9e8ea19bc5b7865a5f6a491d49812d6900b688f3f312e8b84f51fe76ac0c85a61
Homepage: https://cran.r-project.org/package=taxa
Description: CRAN Package 'taxa' (Classes for Storing and Manipulating Taxonomic Data)
 Provides classes for storing and manipulating taxonomic data.  Most of the
 classes can be treated like base R vectors (e.g. can be used in tables as
 columns and can be named). Vectorized classes can store taxon names and
 authorities, taxon IDs from databases, taxon ranks, and other types of
 information. More complex classes are provided to store taxonomic trees and
 user-defined data associated with them.

Package: r-cran-taxadb
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 646
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-duckdb, r-cran-tibble, r-cran-dplyr, r-cran-dbplyr, r-cran-rlang, r-cran-magrittr, r-cran-stringi, r-cran-contentid, r-cran-memoise
Suggests: r-cran-spelling, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-crayon, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-taxadb_0.2.1-1.ca2004.1_all.deb
Size: 297636
MD5sum: be856551c148834f2105f278574a06d2
SHA1: a3f0f48eb44cbcef2d8ef5816f26c7f8e77de919
SHA256: 4c830ad773ac6ace45f48dc4a788bed0928dd23e59d7b35536ae5558ea3a2519
SHA512: 58a8f83307f51c8bd75f5e3ce41c71a79e7192443cf2bff4707e1db015255ce95fbacdcc0ed84534b98996f9625781ffaf2384d37b26992e774ed2ef174b0ad8
Homepage: https://cran.r-project.org/package=taxadb
Description: CRAN Package 'taxadb' (A High-Performance Local Taxonomic Database Interface)
 Creates a local database of many commonly used taxonomic authorities and
 provides functions that can quickly query this data.

Package: r-cran-taxalight
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-thor, r-cran-contentid
Suggests: r-cran-jsonlite, r-cran-spelling, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-progress, r-cran-utf8, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-taxalight_0.1.5-1.ca2004.1_all.deb
Size: 51164
MD5sum: c3730514521de841a0ede85219537730
SHA1: 362916b325d13083d5b58496c44f65250d0a518b
SHA256: dcbbc566d9d79ac803c0e11170b2a55f84a7500ba409b87f21eee2f6353a033a
SHA512: 97c8133b91690067ab5121112fecbd4e349b59d1e74c346d32a61269806cf324326225774086c3cb879cc10e40fdec484259252d816efa60e2b6bc39a56f8250
Homepage: https://cran.r-project.org/package=taxalight
Description: CRAN Package 'taxalight' (A Lightweight and Lightning-Fast Taxonomic Naming Interface)
 Creates a local Lightning Memory-Mapped Database ('LMDB') of many commonly
 used taxonomic authorities and provides functions that can quickly query
 this data.  Supported taxonomic authorities include the Integrated Taxonomic
 Information System ('ITIS'), National Center for Biotechnology Information
 ('NCBI'), Global Biodiversity Information Facility ('GBIF'), Catalogue of
 Life ('COL'), and Open Tree Taxonomy ('OTT').  Name and identifier
 resolution using 'LMDB' can be hundreds of times faster than either
 relational databases or internet-based queries. Precise data provenance
 information for data derived from naming providers is also included.

Package: r-cran-taxanorm
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 805
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-microbiome, r-bioc-phyloseq, r-bioc-s4vectors, r-bioc-biocgenerics, r-cran-vegan, r-cran-mass, r-cran-future, r-cran-future.apply, r-cran-matrixstats, r-cran-pscl, r-cran-parallelly, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-taxanorm_2.4-1.ca2004.1_all.deb
Size: 717160
MD5sum: 54f2a388309e04c1833e1b9e7d33171f
SHA1: 19d76ccda7bdf593f610eeccbadc760d6513a403
SHA256: 88b6f757952bd73339bdda81974bbdf4bd7efb856c5f8e3f5923a66aba0a4ee3
SHA512: 08be8d1926807be99490476736df28fed8b8cf951cd6645977a21d5bc4d571ad92489a39933df9bc0d1ca9d43db537396732388b2c4b7871c6b2999f83566f4e
Homepage: https://cran.r-project.org/package=TaxaNorm
Description: CRAN Package 'TaxaNorm' (Feature-Wise Normalization for Microbiome Sequencing Data)
 A novel feature-wise normalization method based on a zero-inflated negative
 binomial model. This method assumes that the effects of sequencing depth
 vary for each taxon on their mean and also incorporates a rational link of
 zero probability and taxon dispersion as a function of sequencing depth.
 Ziyue Wang, Dillon Lloyd, Shanshan Zhao, Alison Motsinger-Reif (2023)
 <doi:10.1101/2023.10.31.563648>.

Package: r-cran-taxicabca
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ga, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taxicabca_0.1.1-1.ca2004.1_all.deb
Size: 80740
MD5sum: 986ee6b672f90c3e31c36c7f4c7a42e8
SHA1: 024107973139e08ae4e0f761bbfff4e52435923b
SHA256: 4a40d1691a74e029ed533587834aff87779f43bb4c700d74f431d85e9f195b21
SHA512: 8084145480e173c732028aec3e48ddc02a5a6de4d8dc213d5e815bdee49fc0ecac9eee0773794f4eb25a5cc5e129f25fcdeaaadab0aa4f064085dbd8717e846b
Homepage: https://cran.r-project.org/package=TaxicabCA
Description: CRAN Package 'TaxicabCA' (Taxicab Correspondence Analysis)
 Computation and visualization of Taxicab Correspondence Analysis, Choulakian
 (2006) <doi:10.1007/s11336-004-1231-4>.  Classical correspondence analysis
 (CA) is a statistical method to analyse 2-dimensional tables of positive
 numbers and is typically applied to contingency tables (Benzecri, J.-P.
 (1973). L'Analyse des Donnees. Volume II. L'Analyse des Correspondances.
 Paris, France: Dunod).  Classical CA is based on the Euclidean distance.
 Taxicab CA is like classical CA but is based on the Taxicab or Manhattan
 distance.  For some tables, Taxicab CA gives more informative results than
 classical CA.

Package: r-cran-taxize
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1745
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-xml2, r-cran-jsonlite, r-cran-ape, r-cran-zoo, r-cran-data.table, r-cran-tibble, r-cran-rredlist, r-cran-rotl, r-cran-ritis, r-cran-worrms, r-cran-natserv, r-cran-wikitaxa, r-cran-r6, r-cran-crayon, r-cran-cli, r-cran-phangorn, r-cran-lifecycle, r-cran-curl, r-cran-stringi
Suggests: r-cran-testthat, r-cran-vegan, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-taxize_0.10.0-1.ca2004.1_all.deb
Size: 1542732
MD5sum: 7172e7daae143d01ee8dcbec5ad75f02
SHA1: 022b08326efbb5665eeaa2cb1466fbc8f914b2f3
SHA256: 84371e1e5dc4c4f65b05ab4303884f46ae7552ee6e47f3400bd2982b4e42b6eb
SHA512: c906101342b2ad1f1211f33c95bf8eb5393b1acbdad88eeae7050af44281f74951b205492eb48b9cd6fdcc30df7be0d20147cdee14c69c41390ea7fb5b32f1fa
Homepage: https://cran.r-project.org/package=taxize
Description: CRAN Package 'taxize' (Taxonomic Information from Around the Web)
 Interacts with a suite of web application programming interfaces (API) for
 taxonomic tasks, such as getting database specific taxonomic identifiers,
 verifying species names, getting taxonomic hierarchies, fetching downstream
 and upstream taxonomic names, getting taxonomic synonyms, converting
 scientific to common names and vice versa, and more. Some of the services
 supported include 'NCBI E-utilities'
 (<https://www.ncbi.nlm.nih.gov/books/NBK25501/>), 'Encyclopedia of Life'
 (<https://eol.org/docs/what-is-eol/data-services>), 'Global Biodiversity
 Information Facility' (<https://techdocs.gbif.org/en/openapi/>), and many
 more. Links to the API documentation for other supported services are
 available in the documentation for their respective functions in this
 package.

Package: r-cran-taxizedb
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-dbi, r-cran-rsqlite, r-cran-dplyr, r-cran-tibble, r-cran-rlang, r-cran-readr, r-cran-dbplyr, r-cran-magrittr, r-cran-hoardr, r-cran-vroom
Suggests: r-cran-taxize, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taxizedb_0.3.2-1.ca2004.1_all.deb
Size: 143916
MD5sum: 8f336edd913d4746ade4afeec6112531
SHA1: 9e66b52f97c12a34c367c74a5d6f6f9065c0ec0c
SHA256: 8c0c5f0e19d3b28c585c5f7735381377d91ca795dc3b614d5032b838c8e27ec4
SHA512: 9b609d52a2cfc6a2c6736d5e144b3974e8b5fc10ef0bd3fe4661c07647328ba3186d2290f766690094f00d70b71690462849cb36e6b26f874479063891d2d01d
Homepage: https://cran.r-project.org/package=taxizedb
Description: CRAN Package 'taxizedb' (Offline Access to Taxonomic Databases)
 Download taxonomic databases, convert them into 'SQLite' format, and query
 them locally for fast, reliable, and reproducible access to taxonomic data.

Package: r-cran-taxlist
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2325
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-biblio, r-cran-foreign, r-cran-stringdist, r-cran-stringi, r-cran-stringr, r-cran-vegdata
Suggests: r-cran-ape, r-cran-knitr, r-cran-rmarkdown, r-cran-taxa, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taxlist_0.3.0-1.ca2004.1_all.deb
Size: 1636504
MD5sum: 8c586b0d36a24ef3375b9fc4f3aea72a
SHA1: c9c35a869dcb5660e990b8a4a704d967d8063658
SHA256: d26de6f71ad255d48ff568c38d56167c5e9a2c08595a32f70d7db4fe785adf34
SHA512: 623f43379eb50321fd8845ec1c170191970a853875da21544abc302ea1f106f72179e194d228a46f321eb7567b114ce50042f9c311b313e9c7ae29131a2a59bb
Homepage: https://cran.r-project.org/package=taxlist
Description: CRAN Package 'taxlist' (Handling Taxonomic Lists)
 Handling taxonomic lists through objects of class 'taxlist'.  This package
 provides functions to import species lists from 'Turboveg'
 (<https://www.synbiosys.alterra.nl/turboveg/>) and the possibility to create
 backups from resulting R-objects.  Also quick displays are implemented as
 summary-methods.

Package: r-cran-taxnames
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-taxlist
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taxnames_0.1.0-1.ca2004.1_all.deb
Size: 26676
MD5sum: ef6ccceaf42549f51b1b2172c694710d
SHA1: add3bcebfe22bd35ecdae169d71b49ff8253e13b
SHA256: 9b96e544d18fa1deed3adcc3230414864ea51c48faa2d01eb7d98949f4de2ddf
SHA512: ed6a3917bec6ad0421fa75dc3e00a75f45fc583785f08c864050231bd605628104f79f4070c5b7837389fd0401bde93b889e3207d6d95a1919ad86f9eca6c8ad
Homepage: https://cran.r-project.org/package=taxnames
Description: CRAN Package 'taxnames' (Formatting Taxonomic Names in Markdown)
 A collection of functions used to format taxonomic names in Markdown
 documents. Those functions work with data structured according to Alvarez
 and Luebert (2018) <doi:10.3897/bdj.6.e23635>.

Package: r-cran-taxonbridge
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-dplyr, r-cran-vroom, r-cran-ggplot2, r-cran-rje, r-cran-withr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-taxonbridge_1.2.2-1.ca2004.1_all.deb
Size: 479920
MD5sum: ef88a84e8658141eff17453d593a59c3
SHA1: ff6c730902026f1350c971a9dc7ec572cc4431e5
SHA256: f0b9169bdbb0d116702d320550f8dc574c4c786ebec07b2ee6f67b6860a13225
SHA512: 3b9de0ce7ab4739f7495471fd02313e6b7a833da62e63ec3afbe6a18d10fde5a8f8804d936fc2b8e22fe6f669f0cb23f9a6a8d2f96d5b731d73b132569f61682
Homepage: https://cran.r-project.org/package=taxonbridge
Description: CRAN Package 'taxonbridge' (Create Custom Taxonomies Based on the NCBI Taxonomy and GBIFBackbone Taxonomy)
 The NCBI taxonomy is a popular resource for taxonomic studies but it only
 contains data on species with sequence data whereas the GBIF has a more
 extensive coverage of extinct species. Taxonbridge is useful for the
 creation and analysis of custom taxonomies based on the NCBI taxonomy and
 GBIF backbone taxonomy.

Package: r-cran-taxonstand
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 440
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-taxonstand_2.4-1.ca2004.1_all.deb
Size: 349876
MD5sum: 13e44674dab4ae5402fce147ec668dc1
SHA1: 528be4beab71099e877b20777c579d187f475d34
SHA256: 79ad2db1bb30147944b15d5076697b2afe1338c9f7acd6f57be4578208f3502c
SHA512: 83e52f89a0deb9137d7a24dff224230e05e85bd158220347195f602146596278cb603e8e401615ce167624d9566d402030b584646d407a619cee0b5a1c9a6d74
Homepage: https://cran.r-project.org/package=Taxonstand
Description: CRAN Package 'Taxonstand' (Taxonomic Standardization of Plant Species Names)
 Automated standardization of taxonomic names and removal of orthographic
 errors in plant species names using 'The Plant List' website
 (www.theplantlist.org).

Package: r-cran-taxotools
Architecture: all
Version: 0.0.148-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-taxize, r-cran-wikitaxa, r-cran-plyr, r-cran-sqldf, r-cran-stringr, r-cran-stringdist, r-cran-rmarkdown, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-taxotools_0.0.148-1.ca2004.1_all.deb
Size: 201708
MD5sum: fa60b714efb7ada30b3d13b6a54b46de
SHA1: 43d4d4ed9f591f23e7dcf719abd406301b378596
SHA256: 319c070c7563234fb368511c23834f417d7b4fa7e89f0e20e22e5aa824aad088
SHA512: 3afc1fc8bf5a680c9473fcd6fb73ad091117fb43dbac668a61a14ab8033af4b5904d7a558fb3fd616d1d0b14b8362173be36fc7485e67ddc800b2ff0f6363ce2
Homepage: https://cran.r-project.org/package=taxotools
Description: CRAN Package 'taxotools' (Taxonomic List Processing)
 Taxonomic lists matching and merging, casting and melting scientific names,
 managing taxonomic lists from Global Biodiversity Information Facility
 'GBIF' <https://www.gbif.org/> or Integrated Taxonomic Information System
 'ITIS', <https://itis.gov/> harvesting names from Wikipedia and fuzzy
 matching.

Package: r-cran-taylor
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4917
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-scales, r-cran-tibble, r-cran-vctrs
Suggests: r-cran-bookdown, r-cran-dplyr, r-cran-knitr, r-cran-palmerpenguins, r-cran-patchwork, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-taylor_3.2.0-1.ca2004.1_all.deb
Size: 1955520
MD5sum: 55f6de808f05d5267b09f85e49e22e6c
SHA1: a4975c659cb9065af4d2863c7fd856258c445147
SHA256: f9e992edc02d7c643ef1f3216a483256c7d31e41bdf3d197fbcdc523c07d502b
SHA512: 5b0653ec6e7585b6266e5428fa2be1cb62ffa66de69652a14248b09ff49e2bb2c78076781d2207e1a3a0c1bdda8e1d83476e6a0f92f701a43b7f96bf2d551f49
Homepage: https://cran.r-project.org/package=taylor
Description: CRAN Package 'taylor' (Lyrics and Song Data for Taylor Swift's Discography)
 A comprehensive resource for data on Taylor Swift songs. Data is included
 for all officially released studio albums, extended plays (EPs), and
 individual singles are included. Data comes from 'Genius' (lyrics) and
 'Spotify' (song characteristics). Additional functions are included for
 easily creating data visualizations with color palettes inspired by Taylor
 Swift's album covers.

Package: r-cran-taylorrussell
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-shiny, r-cran-shinywidgets
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-taylorrussell_1.2.1-1.ca2004.1_all.deb
Size: 37644
MD5sum: 7be292aceb8222720545d2ce9787c50a
SHA1: cc36ddfdf19080c4ddc849a46d2fc28399e239c4
SHA256: 2d20a15bea81867e511a96e58920b593bd229605333265465091cda361a36b92
SHA512: 038abf6b128fe55738adaf5657ff027a2249d59c39a6eaefecf40a2aa782bdec147b179d170182df8ce2176cc30fdc473fc5eb440fa65cc6da53ca6fa18df51b
Homepage: https://cran.r-project.org/package=TaylorRussell
Description: CRAN Package 'TaylorRussell' (A Taylor-Russell Function for Multiple Predictors)
 The Taylor Russell model is a widely used method for assessing test validity
 in personnel selection tasks. The three functions in this package extend
 this model in a number of notable ways. TR() estimates test validity for a
 single selection test via the original Taylor Russell model. It extends this
 model by allowing users greater flexibility in argument choice. For example,
 users can specify any three of the four parameters (base rate, selection
 ratio, criterion validity, and positive predictive value) of the Taylor
 Russell model and estimate the remaining parameter (see the help file for
 examples).  The TaylorRussell() function generalizes the original Taylor
 Russell model to allow for multiple selection tests (predictors).  To our
 knowledge, this is the first generalization of the Taylor Russell model to
 allow for three or more selection tests (it is also the first to correctly
 handle models with two selection tests). TRDemo() is a 'shiny' program for
 illustrating the underlying logic of the Taylor Russell model. Taylor, HC
 and Russell, JT (1939) "The relationship of validity coefficients to the
 practical effectiveness of tests in selection: Discussion and tables"
 <doi:10.1037/h0057079>.

Package: r-cran-taylorswift
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-taylorswift_0.1.0-1.ca2004.1_all.deb
Size: 301544
MD5sum: cb2985079e9cc28ae2d11e9299ed413d
SHA1: 39b2cc6c18f3fdc0bffabf9ee1a1aecf62e4eac0
SHA256: 74ec374333b9ae9a3560bf3f2ad5f4f496021e4f8e6e052faed7f34f30b56344
SHA512: 135c8062d9ac177ffbdaf8c194b02011ddbf60024bef5514d72bef57aa171f790cec115f1e2d4ced50d3bc421da00a1dc21f14b895d3176e9378b7f9ff07c06e
Homepage: https://cran.r-project.org/package=tayloRswift
Description: CRAN Package 'tayloRswift' (Color Palettes Generated by Taylor Swift Albums)
 For when your colors absolutely should not be excluded from the narrative.

Package: r-cran-tba
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-readxl, r-cran-reshape2, r-cran-shinybusy
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tba_0.1.0-1.ca2004.1_all.deb
Size: 113500
MD5sum: 167122debbc8190d4a774912a44b6b6b
SHA1: 6910ff9edb6f3bb7520f733bae7c17412953daf0
SHA256: c941d444a3d5db50565387f9953883e2abbeb3959033d985a7a4a58f4d49e95f
SHA512: 0196a019eec0b5e3ca42309d916ffe7dbf32d6da853a536362535d5b36342f520bcd3721f44010eb4f11e2e8afe76ce5b107296f0892f5c2763fe9c6b64aa24f
Homepage: https://cran.r-project.org/package=TBA
Description: CRAN Package 'TBA' (Collection of 'shiny' Apps for Tree Breeding Analysis)
 A collection of interactive 'shiny' applications for performing
 comprehensive analyses in the field of tree breeding and genetics. The
 package is designed to assist users in visualizing and interpreting
 experimental data through a user-friendly interface. Each application is
 launched via a simple function, and users can upload data in 'Excel' format
 for analysis. For more information, refer to Singh, R.K. and Chaudhary, B.D.
 (1977, ISBN:9788176633079).

Package: r-cran-tbd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-tbd_0.1.0-1.ca2004.1_all.deb
Size: 164700
MD5sum: 818e47b8542057bb4fdebba49e74a350
SHA1: 5750deaf56e7fe8b10ff76ed9730ee7d2a795592
SHA256: d38a3888d2c342ee66885e671b0fed9b99d1c78baa2acff91280cc2808bdf05b
SHA512: dcae7308f84033d1acb0c81a983783da56d689d8845c1c45004f45124b7eb7cbb146c2da7ece5b51b61ae262e02400d18f51a0fd5d502fa5e8139374712a823f
Homepage: https://cran.r-project.org/package=tbd
Description: CRAN Package 'tbd' (Estimation of Causal Effects with Outcomes Truncated by Death)
 Estimation of the survivor average causal effect under outcomes truncated by
 death, which requires the existence of a substitution variable. It can be
 applied to both experimental and observational data.

Package: r-cran-tbea
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 447
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ape, r-cran-rfit, r-cran-boot, r-cran-coda
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tbea_1.6.1-1.ca2004.1_all.deb
Size: 292688
MD5sum: 87437d813f8b008002f551e23624eb23
SHA1: 85d240f122a1be0224068e343951b1cda731c05d
SHA256: 03da16cbe5a75e9bf4d24d985aba6567eae3dd217e433a74bca26c8c84e7afa5
SHA512: 1d7d98a27a57cdfdfde2836f456d7b54753e0a4e67abac6b7ac47281ddb4b092600e6e35d07d82b3e9c4ba1d9b61e21763ce9b24e71b05fae9bd7e9886782026
Homepage: https://cran.r-project.org/package=tbea
Description: CRAN Package 'tbea' (Pre- And Post-Processing in Bayesian Evolutionary Analyses)
 Functions are provided for prior specification in divergence time estimation
 using fossils as well as other kinds of data. It provides tools for
 interacting with the input and output of Bayesian platforms in evolutionary
 biology such as 'BEAST2', 'MrBayes', 'RevBayes', or 'MCMCTree'.  It
 Implements a simple measure similarity between probability density functions
 for comparing prior and posterior Bayesian densities, as well as code for
 calculating the combination of distributions using conflation of Hill
 (2008). Functions for estimating the origination time in collections of
 distributions using the x-intercept (e.g., Draper and Smith, 1998) and
 stratigraphic intervals (Marshall 2010) are also available.  Hill, T. 2008.
 "Conflations of probability distributions". Transactions of the American
 Mathematical Society, 363:3351-3372. <doi:10.48550/arXiv.0808.1808>, Draper,
 N. R. and Smith, H. 1998. "Applied Regression Analysis". 1--706. Wiley
 Interscience, New York. <DOI:10.1002/9781118625590>, Marshall, C. R. 2010.
 "Using confidence intervals to quantify the uncertainty in the end-points of
 stratigraphic ranges". Quantitative Methods in Paleobiology, 291--316.
 <DOI:10.1017/S1089332600001911>.

Package: r-cran-tbest
Architecture: all
Version: 5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-signal, r-cran-fdrtool
Filename: pool/dists/focal/main/r-cran-tbest_5.2-1.ca2004.1_all.deb
Size: 208012
MD5sum: 8ed7c4381b7b77017388df8d6b44c6de
SHA1: 11f220fb328baf47040a1ccd84fbe85adcabcba2
SHA256: a1134cc1e3e81184e951e40f4ba8be9099d91baf6152d0cc9702009de83b34c2
SHA512: 99ff25f26079b260c4870b33a7d52512c9420d0b7651f60c8eaf2f318254b577795e95186eb35c8e3942e79e53a6e760edafa7a05af6fe64c2e50fed3d271b80
Homepage: https://cran.r-project.org/package=TBEST
Description: CRAN Package 'TBEST' (Tree Branches Evaluated Statistically for Tightness)
 Our method introduces mathematically well-defined measures for tightness of
 branches in a hierarchical tree. Statistical significance of the findings is
 determined, for all branches of the tree, by performing permutation tests,
 optionally with generalized Pareto p-value estimation.

Package: r-cran-tbfmultinomial
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam, r-cran-nnet, r-cran-stringr, r-cran-plotrix
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tbfmultinomial_0.1.3-1.ca2004.1_all.deb
Size: 219740
MD5sum: c882f342810680e21359adef3cfa498f
SHA1: a8c64b2c4e4bcbcbf59ccf903314b369cff1c02c
SHA256: 8bbed59e32b1623c5fe9b336460aecdd658263b29930a3e3f9306c67bbf407c0
SHA512: 8aaa103c754a0afab5b6fa8ed45a4f4579ae1f23a4be065a57f918250548381d036d4971b8ce04486f39f903c9f56901751ce95a5904fc03cf93841290b059ba
Homepage: https://cran.r-project.org/package=TBFmultinomial
Description: CRAN Package 'TBFmultinomial' (TBF Methodology Extension for Multinomial Outcomes)
 Extends the test-based Bayes factor (TBF) methodology to multinomial
 regression models and discrete time-to-event models with competing risks.
 The TBF methodology has been well developed and implemented for the
 generalised linear model [Held et al. (2015) <doi:10.1214/14-STS510>] and
 for the Cox model [Held et al. (2016) <doi:10.1002/sim.7089>].

Package: r-cran-tbm
Architecture: all
Version: 0.3-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3006
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlt, r-cran-mboost, r-cran-variables, r-cran-basefun, r-cran-sandwich, r-cran-coneproj
Suggests: r-cran-th.data, r-cran-tram, r-cran-survival, r-cran-partykit, r-cran-lattice, r-cran-latticeextra, r-cran-knitr, r-cran-colorspace, r-cran-gamlss.data, r-cran-trtf
Filename: pool/dists/focal/main/r-cran-tbm_0.3-7-1.ca2004.1_all.deb
Size: 2779032
MD5sum: e06ddffd2d54ce4d8d2d30afe5be1c24
SHA1: b2ebe2240efe98bd18bfdc2f30f83b042ee750aa
SHA256: 935590bb3e2b11487ddd05f707b650a28a2eff19d0f4f43191a5c5b97b0919a6
SHA512: 2ff564e83b24c56c5661ece71d617de6952ad627a07394817aac62a3260fa988a3c201de438803c471e9c93990e7175aac90a7a29859194024eb7e2217a0242d
Homepage: https://cran.r-project.org/package=tbm
Description: CRAN Package 'tbm' (Transformation Boosting Machines)
 Boosting the likelihood of conditional and shift transformation models as
 introduced in <DOI:10.1007/s11222-019-09870-4>.

Package: r-cran-tbma
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-ranger, r-cran-zoo, r-cran-rcpproll
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tbma_0.1.0-1.ca2004.1_all.deb
Size: 28008
MD5sum: 79c3b859d999bafab2d3d74e1eef27cd
SHA1: f51477c151f8ad046256c2c33e29cc1bfc193659
SHA256: 1e99fe378703992beb8ad9ef052d3cfa0a8c62cafe15b84f9d1251109109ecf1
SHA512: 661a4068a84e605093938b46145c7fd3c174eac74b3b55cd58c4d54536846c511ae7f51854e6daebd1d2f51fe1015e3c66ba13be9bbef4350486fce893089025
Homepage: https://cran.r-project.org/package=tbma
Description: CRAN Package 'tbma' (Tree-Based Moving Average Forecasting Model)
 We provide a forecasting model for time series forecasting problems with
 predictors. The offered model, which is based on a submitted research and
 called tree-based moving average (TBMA), is based on the integration of the
 moving average approach to tree-based ensemble approach.  The tree-based
 ensemble models can capture the complex correlations between the predictors
 and response variable but lack in modelling time series components. The
 integration of the moving average approach to the tree-based ensemble
 approach helps the TBMA model to handle both correlations and
 autocorrelations in time series data. This package provides a tbma()
 forecasting function that utilizes the ranger() function from the 'ranger'
 package. With the help of the ranger() function, various types of tree-based
 ensemble models, such as extremely randomized trees and random forests, can
 be used in the TBMA model.

Package: r-cran-tboot
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-kernlab
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-mass, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tboot_0.2.1-1.ca2004.1_all.deb
Size: 177388
MD5sum: 3806a4b7afdefc21c7ad424e5f4d5052
SHA1: a9041b63b1c72bb923f125ad4b966b58fdef3719
SHA256: 8e3427358e6b3a7a1dde6c120659ca9f14feb7593d9a165f1bbd0ba9b361953b
SHA512: 14fe751fdd1e7a223ebfe22cf618350c1c3e609cf1bb003544eb22e242ed2daf79ea8f70ab1eebc22ed20234ca26189ae1c17994770765e8b86aac9144843525
Homepage: https://cran.r-project.org/package=tboot
Description: CRAN Package 'tboot' (Tilted Bootstrap)
 Creates simulated clinical trial data with realistic correlation structures
 and assumed efficacy levels by using a tilted bootstrap resampling approach.
 Samples are drawn from observed data with some samples appearing more
 frequently than others. May also be used for simulating from a joint
 Bayesian distribution along with clinical trials based on the Bayesian
 distribution.

Package: r-cran-tbox
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1022
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-clipr, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-htm2txt, r-cran-pdftools, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tbox_0.2.2-1.ca2004.1_all.deb
Size: 295408
MD5sum: a47651b46d3258c69c9365c4d602e5b2
SHA1: 5a1c6130613435368b7732f91fcf3b92db50541b
SHA256: 0182c8b4021858ea60fc4ddedf9c526db54dcd80eb234dee3c7ee97bb5208d02
SHA512: e3487b33a8dbd7d02a71126d8b567755808a9d40fe7e75963bed0de0b2cf40e2ef24c3303feec2f6480fdb69a598ac727ba4cc61645f3d7605bbf942406f71aa
Homepage: https://cran.r-project.org/package=TBox
Description: CRAN Package 'TBox' (Useful Functions for Programming and Generating Documents)
 Tools to help developers and producers manipulate R objects and outputs. It
 includes tools for displaying results and objects, and for formatting them
 in the correct format.

Package: r-cran-tbrf
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 605
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-dplyr, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-spelling, r-cran-covr, r-cran-ggalt, r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tbrf_0.1.6-1.ca2004.1_all.deb
Size: 407264
MD5sum: 68ed928fd7d19d59f799e7bffce6f764
SHA1: 4bf824fb603701663ddb94eba682bc83c58de164
SHA256: 14a787fb8a168df96f53bae0e1899bcbfbdcbb187501c3eb150305576ba73942
SHA512: 1d74773146667cab337e74fe430e5fa8ebf11ce21fa58c58f60ea070b3bed3694b668b982c780cb4f84bed1c0b1b4bbc9be9d517303d759176f6021c7f875868
Homepage: https://cran.r-project.org/package=tbrf
Description: CRAN Package 'tbrf' (Time-Based Rolling Functions)
 Provides rolling statistical functions based on date and time windows
 instead of n-lagged observations.

Package: r-cran-tca
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 972
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-config, r-cran-data.table, r-cran-futile.logger, r-cran-gmodels, r-cran-matrixcalc, r-cran-matrixstats, r-cran-nloptr, r-cran-pbapply, r-cran-pracma, r-cran-rsvd, r-cran-quadprog, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tca_1.2.1-1.ca2004.1_all.deb
Size: 651552
MD5sum: 8891a55d392210790a8832e7034cd006
SHA1: abcce1bf180d01f7ba21156b7fa5781dc6eea1b1
SHA256: 58bbfefe954297419db8b253c302f9d8f9a23e9d9530f55d651a76968aab13d6
SHA512: 7b534c6d753a7ee23a268546149f46e52d74c9f0f177470b99eb43d1e9fbfa9c44524bae072338e955f7aee0f5c71969e6decd8e364d50c9c4329c1fde2f2abf
Homepage: https://cran.r-project.org/package=TCA
Description: CRAN Package 'TCA' (Tensor Composition Analysis)
 Tensor Composition Analysis (TCA) allows the deconvolution of
 two-dimensional data (features by observations) coming from a mixture of
 heterogeneous sources into a three-dimensional matrix of signals (features
 by observations by sources). The TCA framework further allows to test the
 features in the data for different statistical relations with an outcome of
 interest while modeling source-specific effects; particularly, it allows to
 look for statistical relations between source-specific signals and an
 outcome. For example, TCA can deconvolve bulk tissue-level DNA methylation
 data (methylation sites by individuals) into a three-dimensional tensor of
 cell-type-specific methylation levels for each individual (i.e. methylation
 sites by individuals by cell types) and it allows to detect
 cell-type-specific statistical relations (associations) with phenotypes. For
 more details see Rahmani et al. (2019) <DOI:10.1038/s41467-019-11052-9>.

Package: r-cran-tcensreg
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-viridis, r-cran-future.apply, r-cran-tictoc, r-cran-censreg, r-cran-truncreg, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-tcensreg_0.1.7-1.ca2004.1_all.deb
Size: 187580
MD5sum: b19f7c550d7761caeec6c3c2c0fd0273
SHA1: a88c72918c2f1b8462f5135d1f9c3bb214b49576
SHA256: 8bb54c5e56592130253d44be074e9cf741c6722a59b15dceba7976dc958ac527
SHA512: 8533688c383b40b5b47aaf9e53ceea5fc2a64f63f557b0e967388111883f024ed542030e4e4da895e58f19ba430a72cf0bb3c38199abb9f6c801df5b9cc322d4
Homepage: https://cran.r-project.org/package=tcensReg
Description: CRAN Package 'tcensReg' (MLE of a Truncated Normal Distribution with Censored Data)
 Maximum likelihood estimation (MLE) of parameters assuming an underlying
 left truncated normal distribution with left censoring described in
 Williams, J, Kim, H, and Crespi, C. (2020) <doi:10.1186/s12874-020-01032-9>.
 Censoring is assumed to occur above the truncation threshold meaning that
 only censored observations are observed. Additional maximum likelihood
 estimation procedures are implemented to solve left censored only and left
 truncated only problems.

Package: r-cran-tcftt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tcftt_0.1.0-1.ca2004.1_all.deb
Size: 47284
MD5sum: baeef35c6a207289f215a8a4ea4642e7
SHA1: 713b832a3e928ec4ecad432732f8e9c1c1fdd954
SHA256: 1aab6e3a69bebe25523adb4f1375b6e341534afcdb7be24b62c133579fb397a8
SHA512: 9232b79c80fefeb7a91459de5eeca551b48613f20358a807562c2c3af5f841b55a154b2677e0693d85e9dcb8b6d041d247908bb1a68c71c7fc147ccb0da5b484
Homepage: https://cran.r-project.org/package=tcftt
Description: CRAN Package 'tcftt' (Two-Sample Tests for Skewed Data)
 The classical two-sample t-test works well for the normally distributed data
 or data with large sample size. The tcfu() and tt() tests implemented in
 this package provide better type-I-error control with more accurate power
 when testing the equality of two-sample means for skewed populations having
 unequal variances. These tests are especially useful when the sample sizes
 are moderate. The tcfu() uses the Cornish-Fisher expansion to achieve a
 better approximation to the true percentiles. The tt() provides
 transformations of the Welch's t-statistic so that the sampling distribution
 become more symmetric. For more technical details, please refer to Zhang
 (2019) <http://hdl.handle.net/2097/40235>.

Package: r-cran-tcgaretriever
Architecture: all
Version: 1.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1144
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-reshape2, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tcgaretriever_1.9.1-1.ca2004.1_all.deb
Size: 555336
MD5sum: 9c88898aa055cb9364af28c86fa37f36
SHA1: 4edf4f380ba94509b300237771c76db5e2048dc5
SHA256: 5628aa29c58e235ded35a2a230f9657676d2d2a50ffeda57ad438af83529514a
SHA512: b76866769fa499d312dd18e36d6c86b490e344c05b78906cc1f57c7bed19720a1e40c8a4ae11056dbf008461022e4633187298b0de09a5274633bdd3eb6a662e
Homepage: https://cran.r-project.org/package=TCGAretriever
Description: CRAN Package 'TCGAretriever' (Retrieve Genomic and Clinical Data from CBioPortal IncludingTCGA Data)
 The Cancer Genome Atlas (TCGA) is a program aimed at improving our
 understanding of Cancer Biology. Several TCGA Datasets are available online.
 'TCGAretriever' helps accessing and downloading TCGA data hosted on
 'cBioPortal' via its Web Interface (see <https://www.cbioportal.org/> for
 more information).

Package: r-cran-tcgaviz
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 904
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-config, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggpubr, r-cran-golem, r-cran-magrittr, r-cran-plotly, r-cran-readr, r-cran-reshape2, r-cran-rlang, r-cran-rstatix, r-cran-scales, r-cran-shiny, r-cran-shinyfeedback, r-cran-shinyjs, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tcgaviz_1.0.2-1.ca2004.1_all.deb
Size: 593800
MD5sum: 99fb9408c5c65eea4106cff1bc087e4f
SHA1: 0b57455cb57a949c374771af0c68673fe2db8bcd
SHA256: 5f402f055e80831800b8db5605dbc1b9351c4a8b2e1452e3eb66afb8dfa109ab
SHA512: a1e2c5c581ce1c4d9e333a5a4e27af11577998691ac418c0a8f3131583c129434390922ad07edb2f076c7fdaf08b6e94b75f953b521dc0b9fbe6557dca385bc0
Homepage: https://cran.r-project.org/package=tcgaViz
Description: CRAN Package 'tcgaViz' (Visualization Tool for the Cancer Genome Atlas Program (TCGA))
 Differential analysis of tumor tissue immune cell type abundance based on
 RNA-seq gene-level expression from The Cancer Genome Atlas (TCGA;
 <https://pancanatlas.xenahubs.net>) database.

Package: r-cran-tcgsa
Architecture: all
Version: 0.12.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 755
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-lme4, r-cran-reshape2, r-cran-gsa, r-bioc-multtest, r-cran-cluster, r-cran-cowplot, r-cran-gtools, r-cran-stringr
Suggests: r-cran-biocmanager, r-cran-foreach, r-cran-doparallel, r-bioc-dearseq, r-cran-knitr, r-bioc-geoquery, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tcgsa_0.12.10-1.ca2004.1_all.deb
Size: 592060
MD5sum: eb31135b189d6a04efdd581b6bdf7685
SHA1: f6d6d55d8611230f6918f31c5e533546ae88b9dc
SHA256: 63e1d6a8a226e2bd2ed16d0b62b37dd2537a6bf96c4b7bb4c0713167962ba197
SHA512: 651f5539210e678f2589ccd51193dcd04735c1aa28d3c9e705eac6408438f48030c9ff69f00ed9c6cc3e7a14c8d89824b9161fa806e8917f369cc706ea55c9aa
Homepage: https://cran.r-project.org/package=TcGSA
Description: CRAN Package 'TcGSA' (Time-Course Gene Set Analysis)
 Implementation of Time-course Gene Set Analysis (TcGSA), a method for
 analyzing longitudinal gene-expression data at the gene set level. Method is
 detailed in: Hejblum, Skinner & Thiebaut (2015) <doi:
 10.1371/journal.pcbi.1004310>.

Package: r-cran-tciapathfinder
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-oro.dicom, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tciapathfinder_1.0.6-1.ca2004.1_all.deb
Size: 83748
MD5sum: 97a6e864100a122fef9205a45c5ea5b8
SHA1: f7b7abf0a3526b700ef47882a2ce550a41744e2d
SHA256: ee2cbddee970d6a2b9828d5ae4de5b5e800943d4e7baef44b4c5450db3dc1f8a
SHA512: 4c6baeb1488d5fa86973dc5dc622e8755cff330743c3fd70e2356622cb6371ad379c565065b452abb4d78f614937fb4791c5f5697b56b20d1d4d8e9efd3adad8
Homepage: https://cran.r-project.org/package=TCIApathfinder
Description: CRAN Package 'TCIApathfinder' (Client for the Cancer Imaging Archive REST API)
 A wrapper for The Cancer Imaging Archive's REST API. The Cancer Imaging
 Archive (TCIA) hosts de-identified medical images of cancer available for
 public download, as well as rich metadata for each image series. TCIA
 provides a REST API for programmatic access to the data.  This package
 provides simple functions to access each API endpoint.  For more
 information, see <https://github.com/pamelarussell/TCIApathfinder> and
 TCIA's website.

Package: r-cran-tcl
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-erm, r-cran-psychotools, r-cran-ltm, r-cran-numderiv, r-cran-mass, r-cran-matrix, r-cran-lattice, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tcl_0.2.1-1.ca2004.1_all.deb
Size: 225460
MD5sum: a56f91f365b5a6d4c8b7f2ce13c95762
SHA1: b6308087cb8e43496c19b80eaf01becffb25192f
SHA256: ef4f720a7b71e97622a50d876a08bd1a849f55d9b349e87a29bc78814f142e47
SHA512: 17f6dff698d017fd052dd0f248e6d08683df7154353e9764181fb9345d2134f8b10d5ebf515aaf8690b6555a12c30b38b0df23e8ecc2af865f2c60c1907e5dbc
Homepage: https://cran.r-project.org/package=tcl
Description: CRAN Package 'tcl' (Testing in Conditional Likelihood Context)
 An implementation of hypothesis testing in an extended Rasch modeling
 framework, including sample size planning procedures and power computations.
 Provides 4 statistical tests, i.e., gradient test (GR), likelihood ratio
 test (LR), Rao score or Lagrange multiplier test (RS), and Wald test, for
 testing a number of hypotheses referring to the Rasch model (RM), linear
 logistic test model (LLTM), rating scale model (RSM), and partial credit
 model (PCM). Three types of functions for power and sample size computations
 are provided. Firstly, functions to compute the sample size given a
 user-specified (predetermined) deviation from the hypothesis to be tested,
 the level alpha, and the power of the test. Secondly, functions to evaluate
 the power of the tests given a user-specified (predetermined) deviation from
 the hypothesis to be tested, the level alpha of the test, and the sample
 size. Thirdly, functions to evaluate the so-called post hoc power of the
 tests. This is the power of the tests given the observed deviation of the
 data from the hypothesis to be tested and a user-specified level alpha of
 the test. Power and sample size computations are based on a Monte Carlo
 simulation approach. It is computationally very efficient. The variance of
 the random error in computing power and sample size arising from the
 simulation approach is analytically derived by using the delta method.
 Draxler, C., & Alexandrowicz, R. W. (2015), <doi:10.1007/s11336-015-9472-y>.

Package: r-cran-tcltk2
Architecture: all
Version: 1.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5271
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tcltk2_1.6.1-1.ca2004.1_all.deb
Size: 1048404
MD5sum: b1c53f6884c805390076103845b740c0
SHA1: e41fb47568995da38137c44774b4d98c0fa224ba
SHA256: c2e6a5b97c6f84a7193a66d36ea34706cda0ec38c67d27df22e1109b94fbd497
SHA512: c55037ce70153cee65acc8a122e9e80f80db48264ffb02406ac8011fff2fd8fa2cfa79db294c3b2db87d9c06e13f45fbdb79c454605337d76724a99a37138b9b
Homepage: https://cran.r-project.org/package=tcltk2
Description: CRAN Package 'tcltk2' (Tcl/Tk Additions)
 A series of additional Tcl commands and Tk widgets to supplement the tcltk
 package.

Package: r-cran-tcomp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 575
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcomp, r-cran-forecast
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-tcomp_1.0.1-1.ca2004.1_all.deb
Size: 493800
MD5sum: af34bd0cd5c5957a04fba4666af16b40
SHA1: dd3609b40c1e670f3e011ed6829cc4c56a076b49
SHA256: 614f2429169a027536000925fcb69c76ffea7141e18c5edc3da3806467666e0e
SHA512: d478f13eaa625c1283be906973f83bb2a77d8b7bbc31c4e7b08de653bac53095fc91179138e6eec63e78edec8b6f5c2ddd22c583e1045b8ecc7e82a77eab94c7
Homepage: https://cran.r-project.org/package=Tcomp
Description: CRAN Package 'Tcomp' (Data from the 2010 Tourism Forecasting Competition)
 The 1311 time series from the tourism forecasting competition conducted in
 2010 and described in Athanasopoulos et al. (2011)
 <DOI:10.1016/j.ijforecast.2010.04.009>.

Package: r-cran-tcpl
Architecture: all
Version: 3.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4168
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-dbi, r-cran-rmariadb, r-cran-numderiv, r-cran-rcolorbrewer, r-cran-sqldf, r-cran-dplyr, r-cran-tidyr, r-cran-plotly, r-cran-tcplfit2, r-cran-ggplot2, r-cran-gridextra, r-cran-stringr, r-cran-rlang, r-cran-ctxr, r-cran-viridis, r-cran-gt
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-htmltable, r-cran-testthat, r-cran-reshape2, r-cran-kableextra, r-cran-colorspace, r-cran-magrittr, r-cran-vdiffr, r-cran-httptest, r-cran-rmdformats, r-cran-gtable
Filename: pool/dists/focal/main/r-cran-tcpl_3.3.0-1.ca2004.1_all.deb
Size: 2132492
MD5sum: 1a8348b79857ea7306773dda887db5c3
SHA1: 4f06d2009f1fdd8751c93a846d957ad83b310706
SHA256: 13110d213623018553bf6a9470eb2763bd6b8df86b514849eec939f5db9043d4
SHA512: 640d861b946d2f4be299f66e29a9de1eb21c8b0314cf26e632df8cb0b8014e9f386e3b9e40f6b03a3389c595fb5fa0ffb908b8e0f7fed400ff14bf714b7b91f5
Homepage: https://cran.r-project.org/package=tcpl
Description: CRAN Package 'tcpl' (ToxCast Data Analysis Pipeline)
 The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages,
 curve-fits, plots, and stores ToxCast data to populate its linked MySQL
 database, 'invitrodb'. The package was developed for the chemical screening
 data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but
 'tcpl' can be used to support diverse chemical screening efforts.

Package: r-cran-tcplfit2
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4235
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv, r-cran-rcolorbrewer, r-cran-stringr, r-cran-reshape2, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringi, r-cran-dt, r-cran-data.table, r-cran-tcpl, r-cran-prettydoc, r-cran-testthat, r-cran-here, r-cran-htmltable, r-cran-tidyr, r-cran-dplyr, r-cran-gridextra, r-cran-rmdformats
Filename: pool/dists/focal/main/r-cran-tcplfit2_0.1.8-1.ca2004.1_all.deb
Size: 2331368
MD5sum: 564fc927727c47b6a9656c5f767b0d1c
SHA1: 6c43a1d52e32c850e87b183be7d90cddb6fe9947
SHA256: 813e8a8acc6784b1119a9249b6a89ab4d9029d461191873a5ee99cdbe8bb0688
SHA512: d5918a3de781af4a829dfa381e708cb56b85c96b160722ec4eab6c282a79653ac568ca0ff6cbec7e74dedb504adc0cf2cbb70bd1d3facebbc7b7400aee6a4680
Homepage: https://cran.r-project.org/package=tcplfit2
Description: CRAN Package 'tcplfit2' (A Concentration-Response Modeling Utility)
 The tcplfit2 R package performs basic concentration-response curve fitting.
 The original tcplFit() function in the tcpl R package performed basic
 concentration-response curvefitting to 3 models. With tcplfit2, the core
 tcpl concentration-response functionality has been expanded to process
 diverse high-throughput screen (HTS) data generated at the US Environmental
 Protection Agency, including targeted ToxCast, high-throughput
 transcriptomics (HTTr) and high-throughput phenotypic profiling (HTPP).
 tcplfit2 can be used independently to support analysis for diverse chemical
 screening efforts.

Package: r-cran-tcpmor
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-semipar
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tcpmor_1.0-1.ca2004.1_all.deb
Size: 24640
MD5sum: 0e30de2ae45ff2989f4e35f55c80dfa9
SHA1: 37ccc28b5ead5bf83b5e2fabe7f9b9fb2330df3a
SHA256: 63d8f8d8cfc45fb9ca72e096b723f8b6166667d98366588c926617715a0b266f
SHA512: df36c8a687999e8eae7b41ca92a684b3f582340c72c7f6fb1f53d3f455e8ef3f520b4e11955d686740cc0290107db4f82c8ceb5f2038286b94d4cedaa8a20d94
Homepage: https://cran.r-project.org/package=TCPMOR
Description: CRAN Package 'TCPMOR' (Two Cut-Points with Maximum Odds Ratio)
 Enables the computation of the 'two cut-points with maximum odds ratio (OR)
 value method' for data analysis, particularly suited for binary
 classification tasks. Users can identify optimal cut-points in a continuous
 variable by maximizing the odds ratio while maintaining an equal risk level,
 useful for tasks such as medical diagnostics, risk assessment, or predictive
 modeling.

Package: r-cran-tcrconvertr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 399
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rappdirs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-testthat, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-tcrconvertr_1.0-1.ca2004.1_all.deb
Size: 71604
MD5sum: 427a8cd47161a47d64c255799abcd7ae
SHA1: 07a745fb8793295d439cf296cd7450e3f776ad00
SHA256: c049b8b56e3cda3b3a4345619f7bcd3a2471e6a736fccc98fcc0bcbe2c7b257f
SHA512: 688675a264abf92ddc75ca784c4578c510c7dbc3f91c19d046bdd717a269bceb93d466a8f56deebad9aa17757ec1702f24beac22c6f5ce7ad244456ac3676bc9
Homepage: https://cran.r-project.org/package=TCRconvertR
Description: CRAN Package 'TCRconvertR' (Convert TCR Gene Names)
 Convert T Cell Receptor (TCR) gene names between the 10X Genomics, Adaptive
 Biotechnologies, and ImMunoGeneTics (IMGT) nomenclatures.

Package: r-cran-tcsinvest
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-data.table, r-cran-jsonlite, r-cran-websocket
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tcsinvest_0.1.1-1.ca2004.1_all.deb
Size: 370348
MD5sum: a43fc7d25061d53cae22a2207196f66c
SHA1: 148c63aef7b7dc113b35dd09462dd616cb056a24
SHA256: f5ed3766f1d4aebcdd92c39ced694519b7aaf3cbe36b6f02e0cf52ff7b1a6d0d
SHA512: 1a6e564c698d78c44906eecd3e13ad5f7e64bad4c1b17f089842fe6429f4a1efce0638ca3cce53458979d1ccd358fd48ddafa2e199620e1c91b595eb6b24e649
Homepage: https://cran.r-project.org/package=tcsinvest
Description: CRAN Package 'tcsinvest' (R API for Tinkoff Investments)
 R functions for Tinkoff Investments API
 <https://tinkoffcreditsystems.github.io/invest-openapi/>. Using this
 package, analysts and traders can interact with account and market data from
 within R.  Clients for both REST and Streaming protocols implemented.

Package: r-cran-tcxr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tcxr_0.1.0-1.ca2004.1_all.deb
Size: 19388
MD5sum: 49763931c0919d16e073f5e2af3d0fc8
SHA1: e030271a8ac3fe4c5816fdd133eeed4e4ad1cde5
SHA256: d9548f639401e063ee549d9ec9ce34cf11a5b58faf09efefc8a27d5423deb806
SHA512: be52150371b8f520f26f85c46838a769d399def5e044be97eb0f4d9cbd521f48514fcf70c9a965d95280a366c8fba32ec5d22f271d2abad2bfd25917f19df999
Homepage: https://cran.r-project.org/package=tcxr
Description: CRAN Package 'tcxr' (Parse and Analyze TCX Files)
 Framework provides functions to parse 'Training Center XML (TCX)' files and
 extract key activity metrics such as total distance, total time, calories
 burned, maximum altitude, and power values (watts). This package is useful
 for analyzing workout and training data from devices that export 'TCX'
 format.

Package: r-cran-td
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcppsimdjson
Suggests: r-cran-tinytest, r-cran-xts
Filename: pool/dists/focal/main/r-cran-td_0.0.6-1.ca2004.1_all.deb
Size: 81748
MD5sum: 25abd3f777f8c02192ce61803d8ab2eb
SHA1: 2e7037a7ab0f08771f5ae63e1fd983a967ade8ae
SHA256: c90a317d4172cc68a906fc3a7f062e2c900cc293963b6ad4886c4a78ea6fac76
SHA512: 01229ee3d1200b971d0f2f7b0c3ea77f7bb1d9520fe5bb5425f4897128937c06a44e5b9e6063ce508949057449e61aa6e523b33b86075cd1f8f0b973c2f919ca
Homepage: https://cran.r-project.org/package=td
Description: CRAN Package 'td' (Access to the 'twelvedata' Financial Data API)
 The 'twelvedata' REST service offers access to current and historical data
 on stocks, standard as well as digital 'crypto' currencies, and other
 financial assets covering a wide variety of course and time spans. See
 <https://twelvedata.com/> for details, to create an account, and to request
 an API key for free-but-capped access to the data.

Package: r-cran-tdamapper
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-fastcluster, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-tdamapper_1.0-1.ca2004.1_all.deb
Size: 25980
MD5sum: 3b4202fb87f354eced40c9681c46acec
SHA1: 2d3b89c4bb3b1d03bb40e9f218366452377327ca
SHA256: caf3ae29d5c8a45d6e7ea1e2c608794631cc6aabac5031af6fb239d9a42e7768
SHA512: aef53cfb1d82b4dc00ea77b22470dacc280504189a92963d336e0bf0d240a8fb057868edeb190a35a51573ac24849ee5d82051b285641c1db9c8360196a64d1c
Homepage: https://cran.r-project.org/package=TDAmapper
Description: CRAN Package 'TDAmapper' (Analyze High-Dimensional Data Using Discrete Morse Theory)
 Topological Data Analysis using Mapper (discrete Morse theory).  Generate a
 1-dimensional simplicial complex from a filter function defined on the data:
 1. Define a filter function (lens) on the data.  2. Perform clustering
 within within each level set and generate one node (vertex) for each
 cluster.  3. For each pair of clusters in adjacent level sets with a
 nonempty intersection, generate one edge between vertices.  The function
 mapper1D uses a filter function with codomain R, while the the function
 mapper2D uses a filter function with codomain R^2.

Package: r-cran-tdarec
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1141
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-recipes, r-cran-dials, r-cran-rlang, r-cran-vctrs, r-cran-scales, r-cran-tibble, r-cran-purrr, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-ripserr, r-cran-tda, r-cran-tdavec, r-cran-testthat, r-cran-modeldata, r-cran-tdaunif, r-cran-knitr, r-cran-rmarkdown, r-cran-tidymodels, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-tdarec_0.2.0-1.ca2004.1_all.deb
Size: 819572
MD5sum: cc8ac9c6d636b5c0e93810aeb69a27fa
SHA1: 25b300accbf62f2db52bbef290ade4f4bfc73827
SHA256: 06b3d667949253f198323c32c835a3b5aedb4e1c41eb5c55a474e59f42b5cbdd
SHA512: b1a0915ee8840c8c54b2db7fa9144c0ad06559f3336a7ed0c7c12303502190bedb58e1affe37de7cbd1d0ad1bdedadcb79df45499a553ddb68b9ce7d4a9a0a62
Homepage: https://cran.r-project.org/package=tdarec
Description: CRAN Package 'tdarec' (A 'recipes' Extension for Persistent Homology and ItsVectorizations)
 Topological data analytic methods in machine learning rely on vectorizations
 of the persistence diagrams that encode persistent homology, as surveyed by
 Ali &al (2000) <doi:10.48550/arXiv.2212.09703>.  Persistent homology can be
 computed using 'TDA' and 'ripserr' and vectorized using 'TDAvec'.  The
 Tidymodels package collection modularizes machine learning in R for
 straightforward extensibility; see Kuhn & Silge (2022,
 ISBN:978-1-4920-9644-3).  These 'recipe' steps and 'dials' tuners make
 efficient algorithms for computing and vectorizing persistence diagrams
 available for Tidymodels workflows.

Package: r-cran-tdaunif
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tdaunif_0.2.0-1.ca2004.1_all.deb
Size: 343436
MD5sum: 98b6bdadc0af3a1e6890d800ad8f5b98
SHA1: 27ec2f772b358184598b56357fa94d684215ffc7
SHA256: bdb3505c9a614b0194116d77e58ffb41f8cd60d8f796deaf2eead7ddea75210c
SHA512: 65247286813c3837d4e50b737f862b1e6610790a5ecf3fce72be14e1035aed833ae26ce78ee95b3caf58b988260263d9dda21165922e789e43f79b29d36ff69c
Homepage: https://cran.r-project.org/package=tdaunif
Description: CRAN Package 'tdaunif' (Uniform Manifold Samplers for Topological Data Analysis)
 Uniform random samples from simple manifolds, sometimes with noise, are
 commonly used to test topological data analytic (TDA) tools.  This package
 includes samplers powered by two techniques: analytic volume-preserving
 parameterizations, as employed by Arvo (1995) <doi:10.1145/218380.218500>,
 and rejection sampling, as employed by Diaconis, Holmes, and Shahshahani
 (2013) <doi:10.1214/12-IMSCOLL1006>.

Package: r-cran-tdbook
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3307
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tdbook_0.0.6-1.ca2004.1_all.deb
Size: 3263200
MD5sum: 6205efe5006ea71fa33f4a6824c8ef09
SHA1: ed7bcdee1e755559ffa9ddbffdc960542902ad4d
SHA256: 98c41d08e00f18cbd92303b672e243e5b9ce00031fbc28e1816e0834782fc857
SHA512: 1e28a17e27061eef6d27693e247cc4183f4529082b8c1854104c637192fff3f0af79772082ce5e678d1873531d53227d52bea10d3c9d897dc36e7b72af1bda76
Homepage: https://cran.r-project.org/package=TDbook
Description: CRAN Package 'TDbook' (Companion Package for the Book "Data Integration, Manipulationand Visualization of Phylogenetic Trees" by Guangchuang Yu(2022, ISBN:9781032233574))
 The companion package that provides all the datasets used in the book "Data
 Integration, Manipulation and Visualization of Phylogenetic Trees" by
 Guangchuang Yu (2022, ISBN:9781032233574).

Package: r-cran-tdcm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cdm, r-cran-gtools, r-cran-polycor, r-cran-stringr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-lintr, r-cran-mass, r-cran-rmarkdown, r-cran-roi, r-cran-roxygen2, r-cran-styler, r-cran-testthat, r-cran-tinytex, r-cran-v8
Filename: pool/dists/focal/main/r-cran-tdcm_0.1.0-1.ca2004.1_all.deb
Size: 850800
MD5sum: 3461e510394f1517d5903963a685d06c
SHA1: abe52e5b3f9d21a3a491c2b146fa5974900110bd
SHA256: 3c8d6b7fff119d7d48df5519d5e8e290377a17210025fd00bfd122d2c80b2f7b
SHA512: 4cc4322548a69762a2264af69b0bb835f9b05670fee539b45eb7638c3bf00cea071d9a833666a37dfc285190b53b061ea65042e9947bb5c771586cf5940f574a
Homepage: https://cran.r-project.org/package=TDCM
Description: CRAN Package 'TDCM' (The Transition Diagnostic Classification Model Framework)
 Estimate the transition diagnostic classification model (TDCM) described in
 Madison & Bradshaw (2018) <doi:10.1007/s11336-018-9638-5>, a longitudinal
 extension of the log-linear cognitive diagnosis model (LCDM) in Henson,
 Templin & Willse (2009) <doi:10.1007/s11336-008-9089-5>. As the LCDM
 subsumes many other diagnostic classification models (DCMs), many other DCMs
 can be estimated longitudinally via the TDCM. The 'TDCM' package includes
 functions to estimate the single-group and multigroup TDCM, summarize
 results of interest including item parameters, growth proportions,
 transition probabilities, transitional reliability, attribute correlations,
 model fit, and growth plots.

Package: r-cran-tdcmstan
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tdcmstan_3.0.0-1.ca2004.1_all.deb
Size: 79984
MD5sum: 0609f2b86fd2109b5b0321b8a7266f28
SHA1: 200ae76f3a8027db913ebe088bd0eb9cbacd735c
SHA256: 282914a533ba8e0a4c120e155479bb11cdacc5d96b5d7b7107383a2d72d85259
SHA512: 7b5b36a0a86b3dd999a8b0ec91e9d651353d4085ff922502a4be6d6dc1d1b97ca53ca095db22e917fad63180ce59e97b24ac6d75924f3969f4c292eb4484a3c8
Homepage: https://cran.r-project.org/package=tdcmStan
Description: CRAN Package 'tdcmStan' (Automating the Creation of Stan Code for TDCMs)
 A collection of functions for automatically creating 'Stan' code for
 transition diagnostic classification models (TDCMs) as they are defined by
 Madison and Bradshaw (2018) <DOI:10.1007/s11336-018-9638-5>.  This package
 supports automating the creation of 'Stan' code for TDCMs, fungible TDCMs
 (i.e., TDCMs with item parameters constrained to be equal across all items),
 and multi-threaded TDCMs.

Package: r-cran-tdcor
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 620
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-tdcor_0.1-2-1.ca2004.1_all.deb
Size: 599056
MD5sum: b78ef78f4f82dc085215e5c3889ee79e
SHA1: dd2664d127eae0031544ee6ff9a35e56c0adc366
SHA256: b6ddda4b1014f1d43cb3b68163d46db5311c022ee5b4372a91d9f313d9063ac8
SHA512: 28af1b05b92b358e5409ef52aa0b6555056c6cd965de8c647ac6618a719741fcb7602ba6bef72b0dbf4bf2428afdd575f8fb5db131f0c70c1afb6f1a88d81df3
Homepage: https://cran.r-project.org/package=TDCor
Description: CRAN Package 'TDCor' (Gene Network Inference from Time-Series Transcriptomic Data)
 The Time-Delay Correlation algorithm (TDCor) reconstructs the topology of a
 gene regulatory network (GRN) from time-series transcriptomic data.  The
 algorithm is described in details in Lavenus et al., Plant Cell, 2015.  It
 was initially developed to infer the topology of the GRN controlling lateral
 root formation in Arabidopsis thaliana.  The time-series transcriptomic
 dataset which was used in this study is included in the package to
 illustrate how to use it.

Package: r-cran-tdd
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-signal, r-cran-rseis, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-tdd_0.4-1.ca2004.1_all.deb
Size: 257152
MD5sum: d3145d000dfd3a9c15feed0d4926b8f2
SHA1: 5b140253cf62a40711c46f5243915186c7a42e1b
SHA256: 68bb68c0d681b65b0eda4226cd64369d023a59e0cc18a9ad40dde9e23dab0d00
SHA512: 1344ab0245c7a011026df2851bb4ea7f4032c3d8aff12a9de3878b69890061bcb8f8a094ae9300988028a2198e494fa502b02cfa18a1c102761774d08e8b835f
Homepage: https://cran.r-project.org/package=TDD
Description: CRAN Package 'TDD' (Time-Domain Deconvolution of Seismometer Response)
 Deconvolution of instrument responses from seismic traces and seismogram
 lists from RSEIS.  Includes pre-calculated instrument responses for several
 common instruments.

Package: r-cran-tdiagree
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-gt, r-cran-multcomp, r-cran-nlme, r-cran-plotfunctions, r-cran-katex
Filename: pool/dists/focal/main/r-cran-tdiagree_0.1.2-1.ca2004.1_all.deb
Size: 99580
MD5sum: 2ce441538c4599efe23c44bb59e235ff
SHA1: 7ab00b924185bc45680b741892ee64d2e8bea821
SHA256: 6794a5d7ad7f760abe6bd6fbb7eb9ec752def7869029366ae4c713f30a01000d
SHA512: 0c9801ba851d6148b40148a406d9a5cc42580b0b0f59563eee989e2b3c3a5fc565d89b07a00d373d914b13c76cf77e5579dc091748b4021c6bcc72e7b6b87817
Homepage: https://cran.r-project.org/package=TDIagree
Description: CRAN Package 'TDIagree' (Assessment of Agreement using the Total Deviation Index)
 The total deviation index (TDI) is an unscaled statistical measure used to
 evaluate the deviation between paired quantitative measurements when
 assessing the extent of agreement between different raters. It describes a
 boundary such that a large specified proportion of the differences in paired
 measurements are within the boundary (Lin, 2000)
 <https://pubmed.ncbi.nlm.nih.gov/10641028/>.  This R package implements some
 methodologies existing in the literature for TDI estimation and inference in
 the case of two raters.

Package: r-cran-tdlm
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2158
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ecume, r-cran-mathjaxr, r-cran-rdpack, r-cran-readr, r-cran-rmarkdown, r-cran-sf
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tdlm_1.1.2-1.ca2004.1_all.deb
Size: 1674776
MD5sum: 53945e2df07460a7ed8151eee2011c45
SHA1: dabf38a198df612932e5bb9d25a48d31e129298a
SHA256: cac51b231b22d6ed261bfdda81663cb281772538ba0203e35d2575e03538273c
SHA512: 85cfa48d42076e17a4dbd8f787b620e7884aafd0bf3e14125650e20609cafd88ddcced8f78f7e34eb3baf20d053a325f168ee8964757655f32fcf4ad1c7ecdb8
Homepage: https://cran.r-project.org/package=TDLM
Description: CRAN Package 'TDLM' (Systematic Comparison of Trip Distribution Laws and Models)
 The main purpose of this package is to propose a rigorous framework to
 fairly compare trip distribution laws and models as described in Lenormand
 et al. (2016) <doi:10.1016/j.jtrangeo.2015.12.008>.

Package: r-cran-tdmr
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2346
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spot, r-cran-twiddler, r-cran-testit, r-cran-adabag
Suggests: r-cran-cmaes, r-cran-e1071, r-cran-rocr, r-cran-randomforest, r-cran-rcma, r-cran-rsfa
Filename: pool/dists/focal/main/r-cran-tdmr_2.2-1.ca2004.1_all.deb
Size: 1537388
MD5sum: 29560409069efd81f22fbd69329e3e95
SHA1: 011f531c279c9330249baa086741f9be7a7a516c
SHA256: 996f2a88ff0225dd23dcf51d4baa32f61b2bd0e8674dbac5b21ade9bf9c18d19
SHA512: 98b82d0e7fb12b4d558cbe939a7f347efa5fa1e2db1a53352c3617f241063e8817551cc55a15c1eeec05166d3211a11d21b1191516cfa3a61f276c5f8c064b0f
Homepage: https://cran.r-project.org/package=TDMR
Description: CRAN Package 'TDMR' (Tuned Data Mining in R)
 Tuned Data Mining in R ('TDMR') performs the complete tuning of a data
 mining task (predictive analytics, that is classification and regression).
 Preprocessing parameters and modeling parameters can be tuned
 simultaneously.  It incorporates a variety of tuners (among them 'SPOT' and
 'CMA' with package 'rCMA') and allows integration of additional tuners.
 Noise handling in the data mining optimization process is supported, see
 Koch et al. (2015) <doi:10.1016/j.asoc.2015.01.005>.

Package: r-cran-tdpanalysis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-tdpanalysis_1.0-1.ca2004.1_all.deb
Size: 41080
MD5sum: be3f64c73a103fef272042c6eec3da2b
SHA1: 6831c8e0acd49de43b083e4c5d9481f50004b376
SHA256: 3dea2c6664ba3792a2703e4edf8d6e92a0f62872aa18528b988bbbc2b03ebf7a
SHA512: cc5adf1bf69d2008b128d5792db3106a85db04d5162d609709e6ab9f4bba7eb649c35591501f245de709e674540cf671dff8a0f47f4477568133b9bdc8bbee40
Homepage: https://cran.r-project.org/package=TDPanalysis
Description: CRAN Package 'TDPanalysis' (Granier's Sap Flow Sensors (TDP) Analysis)
 Set of functions designed to help in the analysis of TDP sensors. Features
 includes dates and time conversion, weather data interpolation, daily
 maximum of tension analysis and calculations required to convert sap flow
 density data to sap flow rates at the tree and plot scale (For more
 information see : Granier (1985) <DOI:10.1051/forest:19850204> & Granier
 (1987) <DOI:10.1093/treephys/3.4.309>).

Package: r-cran-tdr
Architecture: all
Version: 0.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-ggplot2, r-cran-rcolorbrewer
Suggests: r-cran-latticeextra
Filename: pool/dists/focal/main/r-cran-tdr_0.14-1.ca2004.1_all.deb
Size: 60692
MD5sum: 396e504da613cc72fc106bcc6b220fa6
SHA1: 8e822c0f37346f48a4d502388a1a820cb1a524eb
SHA256: a00774abcef6e8614f42e40054cd694b9b2c9e0ee0a1578ad534c195b3341949
SHA512: 10c3472315c25fc6076597a473c0b31bcabb8f8d2128fd1ede0ad778c487b839ee5fcb5e37c3e758646fbbd95cb9055264d62e7b4ef906009f3b5021ca10a893
Homepage: https://cran.r-project.org/package=tdr
Description: CRAN Package 'tdr' (Target Diagram)
 Implementation of target diagrams using 'lattice' and 'ggplot2' graphics.
 Target diagrams provide a graphical overview of the respective contributions
 of the unbiased RMSE and MBE to the total RMSE (Jolliff, J. et al., 2009.
 "Summary Diagrams for Coupled Hydrodynamic-Ecosystem Model Skill
 Assessment." Journal of Marine Systems 76: 64–82.)

Package: r-cran-tdsa
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2991
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desolve, r-cran-mathjaxr, r-cran-numderiv
Suggests: r-cran-knitr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tdsa_1.1-1-1.ca2004.1_all.deb
Size: 581064
MD5sum: ce1adbe89b95e82cf7ca4e7b8f060c4d
SHA1: e04ba0498fbc2012bf42f48a46f85c55412b5972
SHA256: 07290005fd86250e5a5cd7ef4f26d12be49663918ee5a5c56860ef16076e8fc0
SHA512: 8711a4dbf4e66efc065e30af4633b33404c6c955b3b72aba1021ed3989b1cc01bd7fa37b23c3266bfcd2aabd288476b53baf2cb73d8a6be5f7d4794207b4437b
Homepage: https://cran.r-project.org/package=tdsa
Description: CRAN Package 'tdsa' (Time-Dependent Sensitivity Analysis)
 Functions that can be used to calculate time-dependent state and parameter
 sensitivities for both continuous- and discrete-time deterministic models.
 See Ng et al. (2023) <doi:10.1086/726143> for more information about
 time-dependent sensitivity analysis.

Package: r-cran-tdsc
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 945
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-moments
Suggests: r-cran-tuner, r-cran-alluvial, r-cran-covr, r-cran-testthat, r-cran-devtools, r-cran-ga, r-cran-sonicscrewdriver
Filename: pool/dists/focal/main/r-cran-tdsc_1.0.4-1.ca2004.1_all.deb
Size: 789020
MD5sum: 6c6b7ad60c85b118d4d261db1f88cfe3
SHA1: 5fb06f144039a720f3493a1745c9037c9c63e275
SHA256: 776e310b9f4324228b87baed8c76cde6e1dd757af50acd7b336c76f7f4a78030
SHA512: 502054c40b778d37f3c64925beef40a39ca922d8303a94d834b2d9cc135c61405a7de91bc9275c67d03e6d1d7dc44d5a3ee775fa056a5a8a18a030ea5e04aacc
Homepage: https://cran.r-project.org/package=tdsc
Description: CRAN Package 'tdsc' (Time Domain Signal Coding)
 Functions for performing time domain signal coding as used in Chesmore
 (2001) <doi:10.1016/S0003-682X(01)00009-3>, and related tasks. This package
 creates the standard S-matrix and A-matrix (with variable lag), has tools to
 convert coding matrices into distributed matrices, provides published
 codebooks and allows for extraction of code sequences.

Package: r-cran-tdstnn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-tdstnn_0.1.0-1.ca2004.1_all.deb
Size: 12764
MD5sum: 51095b82015960d328c614e9605fd251
SHA1: 97f36d530f6171f45dde4f4b0986b42107962b60
SHA256: 1291b153cdbabea81b27bea75b0399d0cef32d82afd8537efcb97674f83e31d4
SHA512: dec0bfc332d63ba50492fce226618453376ed7d3cd08ae46054e3debd9455f33316238cc4d8d753857671c38b437f687723ea81475470612832cfe87c1d8c627
Homepage: https://cran.r-project.org/package=TDSTNN
Description: CRAN Package 'TDSTNN' (Time Delay Spatio Temporal Neural Network)
 STARMA (Space-Time Autoregressive Moving Average) models are commonly
 utilized in modeling and forecasting spatiotemporal time series data.
 However, the intricate nonlinear dynamics observed in many space-time
 rainfall patterns often exceed the capabilities of conventional STARMA
 models. This R package enables the fitting of Time Delay Spatio-Temporal
 Neural Networks, which are adept at handling such complex nonlinear dynamics
 efficiently. For detailed methodology, please refer to Saha et al. (2020)
 <doi:10.1007/s00704-020-03374-2>.

Package: r-cran-te
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 725
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rainbow
Filename: pool/dists/focal/main/r-cran-te_0.3-0-1.ca2004.1_all.deb
Size: 667824
MD5sum: 1f0172cfa4e9fcb5f610f30f494a48d8
SHA1: 77a268fda7f4784bc38585a0864523d6675fca1a
SHA256: 23b646f69322fc95154efe34127cfc9f9f61977cc9c694a1d963fe0f182aaf6f
SHA512: 52131349758aa8e17e650c9c7e4b26a36677478ccf737f5dcdacdb64d70a808d362821f8b1f12930e20525f4a5f4daee1f4432cd6620103e933c186360f73110
Homepage: https://cran.r-project.org/package=TE
Description: CRAN Package 'TE' (Insertion/Deletion Dynamics for Transposable Elements)
 Provides functions to estimate the insertion and deletion rates of
 transposable element (TE) families. The estimation of insertion rate
 consists of an improved estimate of the age distribution that takes into
 account random mutations, and an adjustment by the deletion rate. A
 hypothesis test for a uniform insertion rate is also implemented. This
 package implements the methods proposed in Dai et al (2018).

Package: r-cran-tea
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-tea_1.1-1.ca2004.1_all.deb
Size: 173052
MD5sum: b16bffb0e499970a92783a92edc44190
SHA1: ab9e3c3505bbdffccb30695bfd7fdade7ef34104
SHA256: c0e2194ba995569c47a65d7fb96f455ac3e424cfcd65f5e63a1a900a6e50e8b9
SHA512: a380eed8ed12066545cff0023fe06982fb13f064c652fc54eb977e6635c5cfda0265242fbdfb00b79a657e0d1934b748ac4c4281ffca4a18c108fe3a745158d1
Homepage: https://cran.r-project.org/package=tea
Description: CRAN Package 'tea' (Threshold Estimation Approaches)
 Different approaches for selecting the threshold in generalized Pareto
 distributions. Most of them are based on minimizing the AMSE-criterion or at
 least by reducing the bias of the assumed GPD-model. Others are
 heuristically motivated by searching for stable sample paths, i.e. a nearly
 constant region of the tail index estimator with respect to k, which is the
 number of data in the tail. The third class is motivated by graphical
 inspection. In addition, a sequential testing procedure for GPD-GoF-tests is
 also implemented here.

Package: r-cran-teachhist
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-teachhist_0.2.1-1.ca2004.1_all.deb
Size: 52496
MD5sum: 235778c3abe0a8cdc05da77815e8f367
SHA1: 3cb176e6c78a143f7f3c17ccc68a8a10354e6967
SHA256: db57a85cd66df541b079c13c4d73beb0e1ee3f2f50d90b429f8d27a77b9c0802
SHA512: ab627d0543a8ca95ef547d4f866d282ffab508671ae2c0f9ea3a92d5127830187a36e00a360ee7b45b57ca1d5dece5cb4b4f1d302f6865ea21f7e3defd31b430
Homepage: https://cran.r-project.org/package=TeachHist
Description: CRAN Package 'TeachHist' (A Collection of Amended Histograms Designed for TeachingStatistics)
 Statistics students often have problems understanding the relation between a
 random variable's true scale and its z-values.  To allow instructors to
 better better visualize histograms for these students, the package provides
 histograms with two horizontal axis containing z-values and the true scale
 of the variable.  The function TeachHistDens() provides a density histogram
 with two axis.  TeachHistCounts() and TeachHistRelFreq() are variations for
 count and relative frequency histograms, respectively. TeachConfInterv() and
 TeachHypTest() help instructors to visualize confidence levels and the
 results of hypothesis tests.

Package: r-cran-teachingdemos
Architecture: all
Version: 2.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1276
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-tkrplot, r-cran-lattice, r-cran-mass, r-cran-rgl, r-cran-tcltk2, r-cran-png, r-cran-ggplot2, r-cran-logspline, r-cran-spdata, r-cran-sf
Filename: pool/dists/focal/main/r-cran-teachingdemos_2.13-1.ca2004.1_all.deb
Size: 1227016
MD5sum: c4aac7acacdf55476d8a99e1fd1835ed
SHA1: 233b50178a1ca6054c0502fa0da018ba3f6de142
SHA256: 42790860da1f2e851af73498daf262db9a7f279e9d07ee455f1310ca2e927f92
SHA512: ad8a6aa9a6454b55efbe926f8bfad2c5f33294ad205cfa9c9907497b4d96a241796412e2562827983d6b95b077490332f3eea3b337de7080b58ec288c53856ce
Homepage: https://cran.r-project.org/package=TeachingDemos
Description: CRAN Package 'TeachingDemos' (Demonstrations for Teaching and Learning)
 Demonstration functions that can be used in a classroom to demonstrate
 statistical concepts, or on your own to better understand the concepts or
 the programming.

Package: r-cran-teachingsampling
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1875
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-teachingsampling_4.1.1-1.ca2004.1_all.deb
Size: 1694796
MD5sum: fb35ede80afb512ae575b73158bd80d5
SHA1: 84ebb878a09172c147744a171d106e06062493e2
SHA256: 5ad096e0b002e4b32eee2599fa67ee8802533c83d67493cb7b87f7d776fe47d4
SHA512: 668a4be496e875d9b3d8cb4f8af73ba0ec05a895caf47cbac0ee1613d31a6c0d98e5a794ffb42e2cd186ba628a482f2b980ae6ebaa4225e81c855907ba8ec5ef
Homepage: https://cran.r-project.org/package=TeachingSampling
Description: CRAN Package 'TeachingSampling' (Selection of Samples and Parameter Estimation in FinitePopulation)
 Allows the user to draw probabilistic samples and make inferences from a
 finite population based on several sampling designs.

Package: r-cran-teachnet
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-teachnet_0.7.1-1.ca2004.1_all.deb
Size: 105896
MD5sum: 45e706c3711200c4dd41dacc0e836b78
SHA1: 6b5316ec57145d83ea901d943662ef8c0d23b84a
SHA256: 843e74777e469d654b160bd6647fc2386955dbeeb5da52ccccbad352c413a560
SHA512: 51f0800639ea226b969a314cfa25868d2b6c86bbd35c553955727934eab27ba69bd0147850d9ac5362d9a8a8103dcab3d924a26507c9f1953536148f383b85ee
Homepage: https://cran.r-project.org/package=TeachNet
Description: CRAN Package 'TeachNet' (Fits Neural Networks to Learn About Backpropagation)
 Can fit neural networks with up to two hidden layer and two different error
 functions. Also able to handle a weight decay. But just able to compute one
 output neuron and very slow.

Package: r-cran-teal.code
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.code_0.6.1-1.ca2004.1_all.deb
Size: 225472
MD5sum: ee367c761e25237f338d5c435c4dde21
SHA1: 05ff6f422cdf4ca07a9a3e07cf6bc1ca6e334030
SHA256: 3f1454a467ceb24e5e9cab4945f9643ec5a073f03b8a6f8361fe0d92e45f3402
SHA512: 35bffa4e9a6692596a785953a6ca1b6375584541fe94ae89bbc243c1b6b8d57738127f48e2314259a741729a75fb1d5f7d2cb977a74463db91a0d1eb063a96a0
Homepage: https://cran.r-project.org/package=teal.code
Description: CRAN Package 'teal.code' (Code Storage and Execution Class for 'teal' Applications)
 Introduction of 'qenv' S4 class, that facilitates code execution and
 reproducibility in 'teal' applications.

Package: r-cran-teal.data
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-teal.code, r-cran-checkmate, r-cran-lifecycle, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.data_0.7.0-1.ca2004.1_all.deb
Size: 2183592
MD5sum: f225b055122466d8baff36a32e1b02a5
SHA1: 4ac622e063cbb21fa14f6d48d06f8732ce851177
SHA256: 3af1e7cdeae9592b12091cd8447f9274dd93f07a28321ee7631fede3bb87fe8c
SHA512: 3e279455e4981173236065cc20a2d0b88c4114b7bf6f77696c4739403fafa98bfa78d6e0b8cab33541334f729acdd9d573ee1a9c05eb4fb1af784c16ddab2dbd
Homepage: https://cran.r-project.org/package=teal.data
Description: CRAN Package 'teal.data' (Data Model for 'teal' Applications)
 Provides a 'teal_data' class as a unified data model for 'teal' applications
 focusing on reproducibility and relational data.

Package: r-cran-teal.logger
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-lifecycle, r-cran-logger, r-cran-shiny, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-teal.logger_0.3.2-1.ca2004.1_all.deb
Size: 53096
MD5sum: 17f887df3a851118e77cb8cb1ff3dd12
SHA1: 8609ce92709ae2c16a3f03a63587fe928d7ef24e
SHA256: 7f0c1be792f6bdec10a7e70283fda6a302822ef07ab5d9f4bbe3770e8f5e4297
SHA512: bd662b8021190aef24575de08a59ae1b2ffe536f1a4c7123cbb8a5788998cb96ba0400bda099087b6b5bb3f35f0d55f83156d83f63e63de4352a6873d0dfdddb
Homepage: https://cran.r-project.org/package=teal.logger
Description: CRAN Package 'teal.logger' (Logging Setup for the 'teal' Family of Packages)
 Utilizing the 'logger' framework to record events within a package, specific
 to 'teal' family of packages.  Supports logging namespaces, hierarchical
 logging, various log destinations, vectorization, and more.

Package: r-cran-teal.modules.clinical
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4957
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-teal, r-cran-teal.transform, r-cran-tern, r-cran-broom, r-cran-checkmate, r-cran-cowplot, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-ggrepel, r-cran-lifecycle, r-cran-rlistings, r-cran-rmarkdown, r-cran-rtables, r-cran-scales, r-cran-shiny, r-cran-shinyjs, r-cran-shinyvalidate, r-cran-shinywidgets, r-cran-teal.code, r-cran-teal.data, r-cran-teal.logger, r-cran-teal.reporter, r-cran-teal.widgets, r-cran-tern.gee, r-cran-tern.mmrm, r-cran-vistime
Suggests: r-cran-forcats, r-cran-knitr, r-cran-logger, r-cran-lubridate, r-cran-nestcolor, r-cran-pkgload, r-cran-roxy.shinylive, r-cran-rvest, r-cran-shinytest2, r-cran-styler, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.modules.clinical_0.10.0-1.ca2004.1_all.deb
Size: 2558712
MD5sum: f720eff329611bf08ecf6ebedcadab28
SHA1: a347deec3bdd12ead385d03c2560c369c2fb19a0
SHA256: fe67a455232dc7e7f9ad6cfdf1a5fffe5440e0b5d6dd8b3e46dd0da9d1197e6d
SHA512: 9830b6c250920b86ffe14a00d6f401859b57d3497e495bc602aa9a4631a33de9f262cd67b411921993d6d7c4a1490f0793567d0e2787bd8fa41653afa6010829
Homepage: https://cran.r-project.org/package=teal.modules.clinical
Description: CRAN Package 'teal.modules.clinical' ('teal' Modules for Standard Clinical Outputs)
 Provides user-friendly tools for creating and customizing clinical trial
 reports. By leveraging the 'teal' framework, this package provides 'teal'
 modules to easily create an interactive panel that allows for seamless
 adjustments to data presentation, thereby streamlining the creation of
 detailed and accurate reports.

Package: r-cran-teal.modules.general
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1380
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggmosaic, r-cran-ggplot2, r-cran-shiny, r-cran-teal, r-cran-teal.transform, r-cran-checkmate, r-cran-colourpicker, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-generics, r-cran-ggextra, r-cran-ggpmisc, r-cran-ggpp, r-cran-ggrepel, r-cran-goftest, r-cran-gridextra, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-lattice, r-cran-lifecycle, r-cran-mass, r-cran-rtables, r-cran-scales, r-cran-shinyjs, r-cran-shinytree, r-cran-shinyvalidate, r-cran-shinywidgets, r-cran-sparkline, r-cran-stringr, r-cran-teal.code, r-cran-teal.data, r-cran-teal.logger, r-cran-teal.reporter, r-cran-teal.widgets, r-cran-tern, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-logger, r-cran-nestcolor, r-cran-pkgload, r-cran-rlang, r-cran-rmarkdown, r-cran-roxy.shinylive, r-cran-rvest, r-cran-shinytest2, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.modules.general_0.4.1-1.ca2004.1_all.deb
Size: 701592
MD5sum: 8d5e6d4ce861d91379db315094305a41
SHA1: 878fa6fa199778f9d79b32559fe1dde50e311e9f
SHA256: b85ca1db19f535bbc85c9e80eab4556e042fb7a09b93befb3180fe9a5b63c6f7
SHA512: 372d78d2e72aba8c2cdb9d2ba7d411dd3b0b07d68873ab7a9c8ecdbd540feafcd8a328127121e9481d7d59980591ef66d179185d1c798c6012b5faaa95325692
Homepage: https://cran.r-project.org/package=teal.modules.general
Description: CRAN Package 'teal.modules.general' (General Modules for 'teal' Applications)
 Prebuilt 'shiny' modules containing tools for viewing data, visualizing
 data, understanding missing and outlier values within your data and
 performing simple data analysis.  This extends 'teal' framework that
 supports reproducible research and analysis.

Package: r-cran-teal.reporter
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 756
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-checkmate, r-cran-flextable, r-cran-htmltools, r-cran-knitr, r-cran-lifecycle, r-cran-r6, r-cran-rlistings, r-cran-rmarkdown, r-cran-rtables, r-cran-rtables.officer, r-cran-shiny, r-cran-shinybusy, r-cran-shinywidgets, r-cran-yaml, r-cran-zip
Suggests: r-cran-dt, r-cran-formatr, r-cran-formatters, r-cran-ggplot2, r-cran-lattice, r-cran-png, r-cran-testthat, r-cran-tinytex, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.reporter_0.4.0-1.ca2004.1_all.deb
Size: 526200
MD5sum: 8f2ff45b4afbb45081b51003cefde8ca
SHA1: 340f132651d25f18d932dec4474f304ee10c9f0d
SHA256: 0bea65a2a91640a943dc0a89e80038160d8fe9cc227c6133d05256195c23f6cd
SHA512: 091bc6b027abf984bc50fddf0ee8b489586f9ad4e8ba3c4704328d2f83cc660897458bf98d33946134d6b6681bebc08f365c551af18e345af44191880c79b49d
Homepage: https://cran.r-project.org/package=teal.reporter
Description: CRAN Package 'teal.reporter' (Reporting Tools for 'shiny' Modules)
 Prebuilt 'shiny' modules containing tools for the generation of 'rmarkdown'
 reports, supporting reproducible research and analysis.

Package: r-cran-teal.slice
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-checkmate, r-cran-dplyr, r-cran-htmltools, r-cran-jsonlite, r-cran-lifecycle, r-cran-logger, r-cran-plotly, r-cran-r6, r-cran-rlang, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinyjs, r-cran-shinywidgets, r-cran-teal.data, r-cran-teal.logger, r-cran-teal.widgets
Suggests: r-cran-knitr, r-bioc-multiassayexperiment, r-cran-rmarkdown, r-bioc-summarizedexperiment, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.slice_0.6.0-1.ca2004.1_all.deb
Size: 1567920
MD5sum: 5e14182b2df647ef8c53128cce79053b
SHA1: 3df342e35d26f974b6e564e3d8a3bc3642e82288
SHA256: d745a17ea51cf6d93479c670345192ae9779c1a05d061ab317057ac97f65eac9
SHA512: 3cb0a0d6f48593ae18a49d0472ec25405c6dfd447bb5e5e5c5ba9d643bd0796bbd98e4f660fb28c3920e4b598d6ee142803434298fa8796373f000cbe938a8d2
Homepage: https://cran.r-project.org/package=teal.slice
Description: CRAN Package 'teal.slice' (Filter Module for 'teal' Applications)
 Data filtering module for 'teal' applications.  Allows for interactive
 filtering of data stored in 'data.frame' and 'MultiAssayExperiment' objects.
 Also displays filtered and unfiltered observation counts.

Package: r-cran-teal.transform
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 720
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-lifecycle, r-cran-logger, r-cran-rlang, r-cran-shiny, r-cran-shinyjs, r-cran-shinyvalidate, r-cran-teal.data, r-cran-teal.logger, r-cran-teal.widgets, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxy.shinylive, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.transform_0.6.0-1.ca2004.1_all.deb
Size: 446604
MD5sum: 9b8fa4b5a2c4201c53e5fdf532e3bc4b
SHA1: 8a378ee52f6135696d5fd09d6b8e2d29958edcf2
SHA256: dc327cc967f8e455ee683f16a05b2e4d2201321db0b200d0c6bcc744ba0ae6fa
SHA512: a48894473e939f0c083f636f9f4061bbf65ba4a3088e6d5f598eb194e426ef69a691d2b7d9dea8d7758339a8da024fa8071a777a69009c75fb10e8031d8c9d23
Homepage: https://cran.r-project.org/package=teal.transform
Description: CRAN Package 'teal.transform' (Functions for Extracting and Merging Data in the 'teal'Framework)
 A standardized user interface for column selection, that facilitates dataset
 merging in 'teal' framework.

Package: r-cran-teal.widgets
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-checkmate, r-cran-ggplot2, r-cran-htmltools, r-cran-lifecycle, r-cran-rtables, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-styler
Suggests: r-cran-dt, r-cran-knitr, r-cran-lattice, r-cran-magrittr, r-cran-png, r-cran-rmarkdown, r-cran-rvest, r-cran-shinytest2, r-cran-shinyvalidate, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-teal.widgets_0.4.3-1.ca2004.1_all.deb
Size: 181380
MD5sum: 782a8b3ddc7677d384ecf7c54ececda9
SHA1: b9e15b81025400354df8feafdf2c7090ec684160
SHA256: 42adf66503e727e60c8deaced721c981bd1ee8d4c6cd8c939d200a1012a7b564
SHA512: 5e5c35a1fa5d2bb32b7e431cf2e080412b6b65ce0672f004e29e3240773ad4191705cf43497bd334d72310f4c2aa61e2e2c00d777f977f940471967f317d731e
Homepage: https://cran.r-project.org/package=teal.widgets
Description: CRAN Package 'teal.widgets' ('shiny' Widgets for 'teal' Applications)
 Collection of 'shiny' widgets to support 'teal' applications.  Enables the
 manipulation of application layout and plot or table settings.

Package: r-cran-teal
Architecture: all
Version: 0.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3076
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-teal.data, r-cran-teal.slice, r-cran-checkmate, r-cran-cli, r-cran-htmltools, r-cran-jsonlite, r-cran-lifecycle, r-cran-logger, r-cran-rlang, r-cran-shinyjs, r-cran-teal.code, r-cran-teal.logger, r-cran-teal.reporter, r-cran-teal.widgets
Suggests: r-cran-bslib, r-cran-ggplot2, r-cran-knitr, r-cran-mirai, r-bioc-multiassayexperiment, r-cran-r6, r-cran-renv, r-cran-rmarkdown, r-cran-roxy.shinylive, r-cran-rvest, r-cran-shinytest2, r-cran-shinyvalidate, r-cran-testthat, r-cran-withr, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-teal_0.16.0-1.ca2004.1_all.deb
Size: 1942588
MD5sum: babb05bb7cd4eadc4846009228d34151
SHA1: e474ba9d200221588cecc76de044e4e527d1b83a
SHA256: 30847d667126b9e4f77555fae47307cb594a1a7c182267fc01d872d05dc7e9ec
SHA512: 6e64ffd132738abf4e68cabdda77ae6a40909271433ed8352d71a8cedcd98aa72eea9cdae7987f10bcc7c6cc96699cea49b7250c572a351e0f0c392705f4f8c4
Homepage: https://cran.r-project.org/package=teal
Description: CRAN Package 'teal' (Exploratory Web Apps for Analyzing Clinical Trials Data)
 A 'shiny' based interactive exploration framework for analyzing clinical
 trials data. 'teal' currently provides a dynamic filtering facility and
 different data viewers. 'teal' 'shiny' applications are built using standard
 'shiny' modules.

Package: r-cran-tealeaves
Architecture: all
Version: 1.0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-units, r-cran-checkmate, r-cran-crayon, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-tealeaves_1.0.6.1-1.ca2004.1_all.deb
Size: 406912
MD5sum: 8757d9bab7555416323cc9d59200f99a
SHA1: 86b494fc4b30cdb9528c0705377755f6287392f4
SHA256: ab68f1c234faed42f4cf9571c3b869ae39a2290db8bee5fab32e39d482111a37
SHA512: d469dea46ce6bdbf74f24d853e462ebd76fb0ee9983f9646ac0abd69a7041b88173a085d54f1e9cb7043f46fd7c2469cc4e75fa6bcc5b6fab12bb63f4cf7f71e
Homepage: https://cran.r-project.org/package=tealeaves
Description: CRAN Package 'tealeaves' (Solve for Leaf Temperature Using Energy Balance)
 Implements models of leaf temperature using energy balance. It uses units to
 ensure that parameters are properly specified and transformed before
 calculations. It allows separate lower and upper surface conductances to
 heat and water vapour, so sensible and latent heat loss are calculated for
 each surface separately as in Foster and Smith (1986)
 <doi:10.1111/j.1365-3040.1986.tb02108.x>. It's straightforward to model leaf
 temperature over environmental gradients such as light, air temperature,
 humidity, and wind. It can also model leaf temperature over trait gradients
 such as leaf size or stomatal conductance. Other references are Monteith and
 Unsworth (2013, ISBN:9780123869104), Nobel (2009, ISBN:9780123741431), and
 Okajima et al. (2012) <doi:10.1007/s11284-011-0905-5>.

Package: r-cran-team
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-ggplot2, r-cran-ks
Filename: pool/dists/focal/main/r-cran-team_0.1.0-1.ca2004.1_all.deb
Size: 35476
MD5sum: 0e1471cb38ee9182a8e4b95bc5e91cfe
SHA1: e2b6b37d87a77748725c565f09f62e073b10623d
SHA256: 12bb33b6edb4e5599b3f612e749b578dc352ee293ff4b7357e23df8e8ec106fd
SHA512: fd4c76f7dd1f7a1c0050513cfdd5168a4a85006769d696bdae621317e31912c1aeb4475ea8e9e375aa3b9b8fcd2213f0510bd01923f96af594c9493d861502b6
Homepage: https://cran.r-project.org/package=TEAM
Description: CRAN Package 'TEAM' (Multiple Hypothesis Testing on an Aggregation Tree Method)
 An implementation of the TEAM algorithm to identify local differences
 between two (e.g. case and control) independent, univariate distributions,
 as described in J Pura, C Chan, and J Xie (2019) <arXiv:1906.07757>. The
 algorithm is based on embedding a multiple-testing procedure on a
 hierarchical structure to identify high-resolution differences between two
 distributions. The hierarchical structure is designed to identify strong,
 short-range differences at lower layers and weaker, but long-range
 differences at increasing layers.  TEAM yields consistent layer-specific and
 overall false discovery rate control.

Package: r-cran-teamcolors
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-lahman, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-teamcolors_0.0.4-1.ca2004.1_all.deb
Size: 113012
MD5sum: 91b82ff06548a9a35af1d508b981fbc1
SHA1: 84044cd7d62b98d49dae5ac1c32773a85f26dc8a
SHA256: 08d22b338156868040f680eb6110674dde899d31d6aee0dec5ae8c4435d00e9c
SHA512: 4300fc3b036c12925f47916b03e78bdd45c35e4e3addbe0d1970eb6119718d9f5d0c06b39c506cb5a1a0c43e7dc2fdad9e7f4cb8e50ed4f8d048055f3846dbe4
Homepage: https://cran.r-project.org/package=teamcolors
Description: CRAN Package 'teamcolors' (Color Palettes for Pro Sports Teams)
 Provides color palettes corresponding to professional and amateur, sports
 teams. These can be useful in creating data graphics that are themed for
 particular teams.

Package: r-cran-teamr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-r6
Filename: pool/dists/focal/main/r-cran-teamr_0.0.1-1.ca2004.1_all.deb
Size: 193472
MD5sum: a42d4db7042062e627b6d2fd583c074d
SHA1: 56d00a4783059d329cfe35a2b1ad1beb133aa700
SHA256: 1e41561559660007932896a8a0b603788e5343863e8119f06acd3dfd3cc42603
SHA512: 0dbe58e983f75251a3b140de439a1678a860e57f82350ae92520a2b73cfaff283cbcc3e6155fc6f60460cd71aaa18a64772d1f0de74070f62c5f2265f5edc694
Homepage: https://cran.r-project.org/package=teamr
Description: CRAN Package 'teamr' (Send Formatted Messages, Images and Objects to Microsoft 'Teams')
 Package of wrapper functions using R6 class to send requests to Microsoft
 'Teams'
 <https://products.office.com/en-us/microsoft-teams/group-chat-software>
 through webhooks.  When you need to share information or data from R to
 'Teams', rather than copying/pasting, you can use this package to send
 well-formatted output from multiple R objects.

Package: r-cran-tectonicr
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3608
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-boot, r-cran-circular, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-rcolorbrewer, r-cran-sf, r-cran-smoothr, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-spatstat.univar, r-cran-spatstat.utils, r-cran-terra, r-cran-tidyr, r-cran-viridis, r-cran-zoo
Suggests: r-cran-ggforce, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat, r-cran-tidyterra
Filename: pool/dists/focal/main/r-cran-tectonicr_0.4.7-1.ca2004.1_all.deb
Size: 2267520
MD5sum: c1295eb9aa0d753a108765b57963bfc7
SHA1: 94e9e357aa8dab603c1865c07f37e92c2b92a116
SHA256: e18df9920f92197580fa08b78325ce5a1e43706f23c249a1d11e7ae73dd16d0a
SHA512: 6ff369d61f1ba5afa6528173a283fedfd76d7deba9253d93945d4164ba75d46ad0573212a88c5c23e31828833b3d7c9d1a4281efeef17367b9765e1ae6ad064b
Homepage: https://cran.r-project.org/package=tectonicr
Description: CRAN Package 'tectonicr' (Analyzing the Orientation of Maximum Horizontal Stress)
 Models the direction of the maximum horizontal stress using relative plate
 motion parameters. Statistical algorithms to evaluate the modeling results
 compared with the observed data. Provides plots to visualize the results.
 Methods described in Stephan et al. (2023) <doi:10.1038/s41598-023-42433-2>
 and Wdowinski (1998) <doi:10.1016/S0079-1946(98)00091-3>.

Package: r-cran-teda
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-teda_0.1.1-1.ca2004.1_all.deb
Size: 31644
MD5sum: c68cac51b5002a316af3dbd592b9ad03
SHA1: b5427e0dd70cf56a27ba212b83a98916e968013c
SHA256: 31753cd2bcfb2e0ea38e496214db5317f145fe74eacfc83a9695eb4f1f201245
SHA512: b688cc5985298c2c54b31153c95580607c8865e472a4f751d22b6ce108e0e1c03f22c7134c7f7eed5788683a9232bbf9bcf99f7fa42ee8d73e62d7f327e75f53
Homepage: https://cran.r-project.org/package=teda
Description: CRAN Package 'teda' (An Implementation of the Typicality and Eccentricity DataAnalysis Framework)
 The typicality and eccentricity data analysis (TEDA) framework was put
 forward by Angelov (2013) <DOI:10.14313/JAMRIS_2-2014/16>. It has been
 further developed into multiple different techniques since, and provides a
 non-parametric way of determining how similar an observation, from a process
 that is not purely random, is to other observations generated by the
 process. This package provides code to use the batch and recursive TEDA
 methods that have been published.

Package: r-cran-tehtuner
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-party, r-cran-glmnet, r-cran-rdpack, r-cran-rpart, r-cran-stringr, r-cran-superlearner, r-cran-randomforestsrc, r-cran-earth, r-cran-foreach
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tehtuner_0.3.0-1.ca2004.1_all.deb
Size: 185888
MD5sum: ead8c99390f806d7a7b43b62e8b0b91f
SHA1: 4697ea263abcc1536b0fab23dc3e479a9b03e0ec
SHA256: a229301fd00177f533e6268ca71d5f832cb43383c55539902b675109ff3b1903
SHA512: 941fcdb41002c1858377d51379e796862ccc43add62479592b4c03f629eeae92a9d8604905c0f0bc283d20453ce4e2cc2297f8be8a0078b673273f1eae6766b7
Homepage: https://cran.r-project.org/package=tehtuner
Description: CRAN Package 'tehtuner' (Fit and Tune Models to Detect Treatment Effect Heterogeneity)
 Implements methods to fit Virtual Twins models (Foster et al.  (2011)
 <doi:10.1002/sim.4322>) for identifying subgroups with differential effects
 in the context of clinical trials while controlling the probability of
 falsely detecting a differential effect when the conditional average
 treatment effect is uniform across the study population using parameter
 selection methods proposed in Wolf et al. (2022)
 <doi:10.1177/17407745221095855>.

Package: r-cran-tejapi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-tejapi_1.0.1-1.ca2004.1_all.deb
Size: 23328
MD5sum: 5e154c75d8ebcb048ba3f63e70e48220
SHA1: bb0a6829b39fc480208a3dedf27f0a60aa0994e8
SHA256: 013a9058d8707008cb978614282dbe057e8e9180c6ea67c5a364ef975ac4d581
SHA512: 61273c496bcd5a1da6502e410e85c12f1c1fb5b154a2c169d8c2aa88ac30e988bc3bcc062f74b026484db5b262291b3abe255fb33c310c199038beda4ee95a7d
Homepage: https://cran.r-project.org/package=Tejapi
Description: CRAN Package 'Tejapi' (API Wrapper for Taiwan Economic Journal Data Service)
 Functions for interacting directly with the Taiwan Economic Journal API to
 offer data in R. For more information go to <https://api.tej.com.tw>.

Package: r-cran-telegram.bot
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 753
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-httpuv, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-r6
Suggests: r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-promises, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-telegram.bot_3.0.0-1.ca2004.1_all.deb
Size: 522448
MD5sum: d33800f699faeac7b863181173db323a
SHA1: ec9512c93320cb3d990de48c584c4d429b8756d2
SHA256: fec9eea5dee17cff59426bdd420b2f5400e9348b5e1af5e660d37044d61b0f25
SHA512: 46ba996f89b0ee43ee3326a4616ce178b72c3e5aaeafd69858429eb1e85377ddd7403467c065dc8f0b0472e83fe8f3efb4983e8983165a7e31a697d30a29dd66
Homepage: https://cran.r-project.org/package=telegram.bot
Description: CRAN Package 'telegram.bot' (Develop a 'Telegram Bot' with R)
 Provides a pure interface for the 'Telegram Bot API'
 <http://core.telegram.org/bots/api>. In addition to the pure API
 implementation, it features a number of tools to make the development of
 'Telegram' bots with R easy and straightforward, providing an easy-to-use
 interface that takes some work off the programmer.

Package: r-cran-telegram
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-jsonlite, r-cran-curl
Filename: pool/dists/focal/main/r-cran-telegram_0.7.1-1.ca2004.1_all.deb
Size: 183236
MD5sum: d6e109736ec289076444bb14b96f2328
SHA1: 5ade4d16d8512456342487e0cc77eb3d6031fc85
SHA256: 77746145ade69c982a5e4c6546759d69ab5d58fd33c829884a3667ae9c4c52ca
SHA512: d7195719eb2975497595ef468d2d15c324280349fd7c3f2e6faa3854be78a950c69bc0dd0805223a527d61d2c02f57fff024995e3e37ac70947b6ea9c2d655a8
Homepage: https://cran.r-project.org/package=telegram
Description: CRAN Package 'telegram' (R Wrapper Around the Telegram Bot API)
 A simple wrapper around the Telegram Bot API
 (<https://core.telegram.org/bots/api>) to access Telegram's messaging
 facilities with ease (e.g. you send messages, images, files from R to your
 smartphone).

Package: r-cran-telemetr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1678
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-lubridate, r-cran-zoo, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rerddap, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-telemetr_1.0-1.ca2004.1_all.deb
Size: 1499664
MD5sum: 4e6e2aa26e19d10038a6086814c2221b
SHA1: 57bb3b1f3e0a182bdbc50a813d8fdf14a9243ac9
SHA256: 8c30a030d22edd97f86066303971f5f93ef5b3f53927a4f39def260eaa467134
SHA512: fa5dc662c00afcc8534811024b5071df71e5e66a10aee5db23efb91f5e14fde4b52bb6413d67b0f5eae7f7db625caaedf6080fadfe300e4b56233439554c2a27
Homepage: https://cran.r-project.org/package=telemetR
Description: CRAN Package 'telemetR' (Filter and Analyze Generalised Telemetry Data from Organisms)
 Analyze telemetry datasets generalized to allow any technology. The
 filtering steps check for false positives caused by reflected transmissions
 from surfaces and false pings from other noise generating equipment. The
 filters are based on JSATS filtering algorithms found in package
 'filteRjsats' <https://CRAN.R-project.org/package=filteRjsats> but have been
 generalized to allow the user to define many of the filtering variables.
 Additionally, this package contains scripts used to help identify an optimal
 maximum blanking period as defined in Capello et al (2015)
 <doi:10.1371/journal.pone.0134002>. The functions were written according to
 their manuscript description, but have not been reviewed by the authors for
 accuracy. It is included here as is, without warranty.

Package: r-cran-telescope
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1668
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-abind, r-cran-bayesm, r-cran-dirichletreg, r-cran-extradistr, r-cran-mcmcpack, r-cran-mvtnorm
Suggests: r-cran-invgamma, r-cran-klar, r-cran-knitr, r-cran-mclust, r-cran-polca, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-telescope_0.2-0-1.ca2004.1_all.deb
Size: 996636
MD5sum: a233dc3ecae5a215cb4cbf66a5603178
SHA1: a864ad78249c2d95a72fe73231aea928e5c72723
SHA256: 5fc49cac7406f4c577186200c21d6da3ca0a89b8608bd747c51dfc9b713ae48a
SHA512: 779433d56051793fa7f9c529cb363c684317f191bcfae1efca0f5ab328da365a933dc667394738b40731129c68a2d4b43dc18603d5b70eb9af44b8e240c5574d
Homepage: https://cran.r-project.org/package=telescope
Description: CRAN Package 'telescope' (Bayesian Mixtures with an Unknown Number of Components)
 Fits Bayesian finite mixtures with an unknown number of components using the
 telescoping sampler and different component distributions. For more details
 see Frühwirth-Schnatter et al. (2021) <doi:10.1214/21-BA1294>.

Package: r-cran-telp
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tcltk2, r-cran-tm, r-cran-wordcloud, r-cran-rcolorbrewer, r-cran-arules, r-cran-arulesviz, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-telp_1.0.3-1.ca2004.1_all.deb
Size: 87608
MD5sum: 502928cbe534049a4ee938df0e492519
SHA1: d8d5818e5458fa1c3472af7ee680a0043e6ebc4e
SHA256: 14a2cfeb420035555c25a1aef833601bb51c817d59e9b32253e94126cb8a7fda
SHA512: 62291cc49137ba58ce4eeb0d697c3318afebc75c68f3e0f1f98206d0890ee9ea45f9b72414c203e6c71ee0ff30e02d915e1c2a3d6b0a342508ac3cb8626d4d39
Homepage: https://cran.r-project.org/package=TELP
Description: CRAN Package 'TELP' (Social Representation Theory Application: The Free Evocation ofWords Technique)
 Using The Free Evocation of Words Technique method with some functions, this
 package will make a social representation and other analysis. The Free
 Evocation of Words Technique consists of collecting a number of words evoked
 by a subject facing exposure to an inducer term. The purpose of this
 technique is to understand the relationships created between words evoked by
 the individual and the inducer term. This technique is included in the
 theory of social representations, therefore, on the information transmitted
 by an individual, seeks to create a profile that define a social group.

Package: r-cran-telraamstats
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2634
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-config, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-paletteer, r-cran-purrr, r-cran-reshape2, r-cran-rlang, r-cran-scales, r-cran-tidyr, r-cran-yaml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-telraamstats_1.1.2-1.ca2004.1_all.deb
Size: 2358468
MD5sum: ff3842cf0ab025b95f44133b0c89030e
SHA1: c761e8e9301e69d87b8cd93528d12a639d162430
SHA256: c19436ff12a303a50c463708f12574c54f3b4965df6a6684ec10a2bf7c23a33d
SHA512: f7f4031a54621ca81619f18525615f9a9ec1d648bf6d37c1230849d2dce378bafb854ba9263b51ed99e0f2dc90adb86dc2539af21c21acda8f6613e4787c0b95
Homepage: https://cran.r-project.org/package=telraamStats
Description: CRAN Package 'telraamStats' (Retrieval and Visualization of Mobility Data from 'Telraam'Sensors)
 Streamline the processing of 'Telraam' data, sourced from open data mobility
 sensors. These tools range from data retrieval (without the need for API
 knowledge) to data visualization, including data preprocessing.

Package: r-cran-tempcont
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlme
Filename: pool/dists/focal/main/r-cran-tempcont_0.1.0-1.ca2004.1_all.deb
Size: 48764
MD5sum: be92c3abcd3773b2c0137027b1b7b6ac
SHA1: 0201781d04aa3ef9c0f096c21d90cdc13d30a699
SHA256: 485eb4dc20fcbd5c462e166b8baddb5ad9357efd88ac05bb8276ed1cf87d3740
SHA512: 87a82f7b4d20c76a7fb1cd119180c4a2364d83119b6552050263143d6fa90c97c4f7a157b06c6bb3349bd5469ff537c77544e72349aea02912727c223198da65
Homepage: https://cran.r-project.org/package=TempCont
Description: CRAN Package 'TempCont' (Temporal Contributions on Trends using Mixed Models)
 Method to estimate the effect of the trend in predictor variables on the
 observed trend of the response variable using mixed models with temporal
 autocorrelation. See Fernández-Martínez et al. (2017 and 2019)
 <doi:10.1038/s41598-017-08755-8> <doi:10.1038/s41558-018-0367-7>.

Package: r-cran-tempdisagg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tsbox, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tempdisagg_1.1.1-1.ca2004.1_all.deb
Size: 383268
MD5sum: 59032cc2031df4df022a9e87e2be92e7
SHA1: 3b3740224fc47b4e758cefc0d1ff62143dccd902
SHA256: 323edfc8da2182d9fcdb82b2b6ecd821dec7e83e415c1d92a05055447cc36ebd
SHA512: 9cbb913e6db9f1b1df7c40c196a87af1192b5b06e7bf028a8922b563ed6de0cf634bd67eaabfc508124494c1c5ffe6ee6f0f4cbb982fdfd7ebde2cc7683e5323
Homepage: https://cran.r-project.org/package=tempdisagg
Description: CRAN Package 'tempdisagg' (Methods for Temporal Disaggregation and Interpolation of TimeSeries)
 Temporal disaggregation methods are used to disaggregate and interpolate a
 low frequency time series to a higher frequency series, where either the
 sum, the mean, the first or the last value of the resulting high frequency
 series is consistent with the low frequency series. Temporal disaggregation
 can be performed with or without one or more high frequency indicator
 series. Contains the methods of Chow-Lin, Santos-Silva-Cardoso, Fernandez,
 Litterman, Denton and Denton-Cholette, summarized in Sax and Steiner (2013)
 <doi:10.32614/RJ-2013-028>. Supports most R time series classes.

Package: r-cran-temperatureresponse
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-rootsolve, r-cran-minpack.lm, r-cran-aiccmodavg, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-temperatureresponse_0.2-1.ca2004.1_all.deb
Size: 69620
MD5sum: b31794652581ef950433b501cdebecc0
SHA1: fe2874cad11e3dc1561b54cc579b0e0a8c430da5
SHA256: acc2a59ef34b7dcd5f7e8ba0670e8f0b2b133aebdf179767d9671116c7cfa1d2
SHA512: c9f9dd7f1945bf19557e590e395de145e09ada9acd4348a8b6e9a07728ea36c8f095990dcec06b5d5af2ee6ffdaf0cbb2a80e3dbeed3dc7de24f9d5039fc9ccd
Homepage: https://cran.r-project.org/package=temperatureresponse
Description: CRAN Package 'temperatureresponse' (Temperature Response)
 Fits temperature response models to rate measurements taken at different
 temperatures. Etienne Low-Decarie,Tobias G. Boatman, Noah Bennett,Will
 Passfield,Antonio Gavalas-Olea,Philipp Siegel, Richard J. Geider (2017)
 <doi:10.1002/ece3.3576> .

Package: r-cran-templateicar
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 530
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-abind, r-cran-fmritools, r-cran-fmriscrub, r-cran-foreach, r-cran-ica, r-cran-matrix, r-cran-matrixstats, r-cran-pesel, r-cran-squarem
Suggests: r-cran-ciftitools, r-cran-excursions, r-cran-rnifti, r-cran-oro.nifti, r-cran-gifti, r-cran-covr, r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-templateicar_0.10.0-1.ca2004.1_all.deb
Size: 480856
MD5sum: e7212e946b1f05361819451a97dcdc83
SHA1: 28785430d2f9cf2b9b107dfb47a3cd0d02e13a28
SHA256: 1e45075402b3a453b3adc74831a61be02982b23a79851d403703cf8c1efc8106
SHA512: 3d3aefef4df2a664332b990cf530d4570adbd57e2dc170f2b7ccda50e1775dffaf7d2e95f4eec70b0e6ff6c45cfca1b2c7ab431440faae2fed47235463c8af7a
Homepage: https://cran.r-project.org/package=templateICAr
Description: CRAN Package 'templateICAr' (Estimate Brain Networks and Connectivity with ICA and EmpiricalPriors)
 Implements the template ICA (independent components analysis) model proposed
 in Mejia et al. (2020) <doi:10.1080/01621459.2019.1679638> and the spatial
 template ICA model proposed in proposed in Mejia et al. (2022)
 <doi:10.1080/10618600.2022.2104289>. Both models estimate subject-level
 brain as deviations from known population-level networks, which are
 estimated using standard ICA algorithms. Both models employ an
 expectation-maximization algorithm for estimation of the latent brain
 networks and unknown model parameters. Includes direct support for 'CIFTI',
 'GIFTI', and 'NIFTI' neuroimaging file formats.

Package: r-cran-templates
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-templates_0.4.0-1.ca2004.1_all.deb
Size: 28576
MD5sum: f4759629d2158d1475d1aadf6634c1a4
SHA1: 4e2d77e41226af853a3de8c62eff157676e80cee
SHA256: 01898422029e4f7df7a81e18988ac73b0438380a934051c4fb94f79770b1e54a
SHA512: 1d75172ec652ccbfd59f7bbaf3570a381950ce99a0c4a04917c2e69f4aa50ad1d893ef3e116a205c68e50eee972144e977386dc2f6385b6fe89d861256e87de0
Homepage: https://cran.r-project.org/package=templates
Description: CRAN Package 'templates' (A System for Working with Templates)
 Provides tools to work with template code and text in R. It aims to provide
 a simple substitution mechanism for R-expressions inside these templates.
 Templates can be written in other languages like 'SQL', can simply be
 represented by characters in R, or can themselves be R-expressions or
 functions.

Package: r-cran-templr
Architecture: all
Version: 0.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-remotes, r-cran-xml2, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-future
Filename: pool/dists/focal/main/r-cran-templr_0.2-0-1.ca2004.1_all.deb
Size: 80424
MD5sum: 290706c221c989f333850d68a651e447
SHA1: 57dc7896f806459288b24bf262f150945f9c15a8
SHA256: 529378eada6dd400a89a41b60494b5de0afdf5ff676990aa933bb11324cc708f
SHA512: edc1cef0317479f7d835427e3e8ea6488a2924213599e9fd7c989633a1d34a3ae3ed9952000d02fe4088556817de392f1eb8e747a922a064389c42e784f6d982
Homepage: https://cran.r-project.org/package=templr
Description: CRAN Package 'templr' (MASCOTNUM Algorithms Template Tools)
 Helper functions for MASCOTNUM algorithm template, for design of numerical
 experiments practice: algorithm template parser to support MASCOTNUM
 specification <https://www.gdr-mascotnum.fr/template.html>, 'ask & tell'
 decoupling injection (inspired by
 <https://search.r-project.org/CRAN/refmans/sensitivity/html/decoupling.html>)
 to use "crimped" algorithms (like uniroot(), optim(), ...) from outside R,
 basic template examples: Brent algorithm for 1 dim root finding and L-BFGS-B
 from base optim().

Package: r-cran-tempor
Architecture: all
Version: 1.0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1700
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-pls
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tempor_1.0.4.4-1.ca2004.1_all.deb
Size: 1024840
MD5sum: fab6f04aad4932c37e37a8378497d6ee
SHA1: 6c6c3d30a85a6011f596702d004e41bb35c7f324
SHA256: 6f3b9956fe9558b42bed1745e936444ab764490db617856ec28ba35160f6cf7e
SHA512: 557ad975dd7ee1317f17a6ee80aeb0738579bab42aef439c77c9bb887e81903214b3a2f3026d8ba82f2569830b5e72fb49e80086d253c805a959276ea4e38367
Homepage: https://cran.r-project.org/package=tempoR
Description: CRAN Package 'tempoR' (Characterizing Temporal Dysregulation)
 TEMPO (TEmporal Modeling of Pathway Outliers) is a pathway-based outlier
 detection approach for finding pathways showing significant changes in
 temporal expression patterns across conditions.  Given a gene expression
 data set where each sample is characterized by an age or time point as well
 as a phenotype (e.g. control or disease), and a collection of gene sets or
 pathways, TEMPO ranks each pathway by a score that characterizes how well a
 partial least squares regression (PLSR) model can predict age as a function
 of gene expression in the controls and how poorly that same model performs
 in the disease. TEMPO v1.0.3 is described in Pietras (2018)
 <doi:10.1145/3233547.3233559>.

Package: r-cran-temporal
Architecture: all
Version: 0.3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 648
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-expint, r-cran-numderiv, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr
Filename: pool/dists/focal/main/r-cran-temporal_0.3.0.1-1.ca2004.1_all.deb
Size: 593852
MD5sum: 815354d855e730d365f4141bd8d5ccc7
SHA1: e339a190a422f2f563a443646153cfb3b3403134
SHA256: 291a102ba5e296b922d6f13c6b5619c56e0fd9a9558d35a6d591ebaf24175fcf
SHA512: d2874c55079bdd1c843d8eb704782929849e44779154020fbcb451da983b10147f91776ede5129fde83e392de16530a4360279abee7e7fd080b6b6d4bced0b79
Homepage: https://cran.r-project.org/package=Temporal
Description: CRAN Package 'Temporal' (Parametric Time to Event Analysis)
 Performs maximum likelihood based estimation and inference on time to event
 data, possibly subject to non-informative right censoring. FitParaSurv()
 provides maximum likelihood estimates of model parameters and distributional
 characteristics, including the mean, median, variance, and restricted mean.
 CompParaSurv() compares the mean, median, and restricted mean survival
 experiences of two treatment groups. Candidate distributions include the
 exponential, gamma, generalized gamma, log-normal, and Weibull.

Package: r-cran-temporalgssa
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-temporalgssa_1.0.1-1.ca2004.1_all.deb
Size: 25064
MD5sum: 5ea62ba20444be840ae717d79f371df0
SHA1: 5db86e04a148814cfc8adab5e0723833d10432ac
SHA256: 80bb9513e1bb20c51cc10da1d5c3dc62f38b2f673bb686f3833e4e4998aac58e
SHA512: c97ce5200ab733b7eabf3bbb6aca4a770e1f56ef1b876e6851905068d1f926a552c40445a2a3635733a1457c9b2056ee5ae8627b6d70449a0287e385853be8de
Homepage: https://cran.r-project.org/package=TemporalGSSA
Description: CRAN Package 'TemporalGSSA' (Outputs Temporal Profile of Molecules from Stochastic SimulationAlgorithm Generated Datasets)
 The data that is generated from independent and consecutive 'GillespieSSA'
 runs for a generic biochemical network is formatted as rows and constitutes
 an observation. The first column of each row is the computed timestep for
 each run. Subsequent columns are used for the number of molecules of each
 participating molecular species or "metabolite" of a generic biochemical
 network.  In this way 'TemporalGSSA', is a wrapper for the R-package
 'GillespieSSA'. The number of observations must be at least 30.  This will
 generate data that is statistically significant. 'TemporalGSSA', transforms
 this raw data into a simulation time-dependent and metabolite-specific
 trial. Each such trial is defined as a set of linear models (n >= 30)
 between a timestep and number of molecules for a metabolite. Each linear
 model is characterized by coefficients such as the slope, arbitrary
 constant, etc. The user must enter an integer from 1-4.  These specify the
 statistical modality utilized to compute a representative timestep (mean,
 median, random, all).  These arguments are mandatory and will be checked.
 Whilst, the numeric indicator "0" indicates suitability, "1" prompts the
 user to revise and re-enter their data. An optional logical argument
 controls the output to the console with the default being "TRUE" (curtailed)
 whilst "FALSE" (verbose). The coefficients of each linear model are averaged
 (mean slope, mean constant) and are incorporated into a metabolite-specific
 linear regression model as the dependent variable. The independent variable
 is the representative timestep chosen previously. The generated data is the
 imputed molecule number for an in silico experiment with (n >=30)
 observations. These steps can be replicated with multiple set of
 observations. The generated "technical replicates" can be statistically
 evaluated (mean, standard deviation) and will constitute simulation
 time-dependent molecules for each metabolite.  For SSA-generated datasets
 with varying simulation times 'TemporalGSSA' will generate a simulation
 time-dependent trajectory for each metabolite of the biochemical network
 under study. The relevant publication with the mathematical derivation of
 the algorithm is (2022, Journal of Bioinformatics and Computational Biology)
 <doi:10.1142/S0219720022500184>. The algorithm has been deployed in the
 following publications (2021, Heliyon) <doi:10.1016/j.heliyon.2021.e07466>
 and (2016, Journal of Theoretical Biology) <doi:10.1016/j.jtbi.2016.07.002>.

Package: r-cran-tempr
Architecture: all
Version: 0.10.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tempr_0.10.1.1-1.ca2004.1_all.deb
Size: 249196
MD5sum: 2fb40101facba6eb9122b9c73ef553a7
SHA1: d00fb507aa5beae3cfcae261b6f40858f0574df3
SHA256: f58404a7223b2ec81d57505e7560eb124eb025000f10b90706d12de31e31f623
SHA512: 238c8a55ffd625882e9f60c97419fb463c00376201b3fea9de00b42e5c22f90bff7acc4c2c6e1d2f8bab90570f1ef71ab360c2b682f12a31e54613599030842e
Homepage: https://cran.r-project.org/package=tempR
Description: CRAN Package 'tempR' (Temporal Sensory Data Analysis)
 Analysis and visualization of data from temporal sensory methods, including
 for temporal check-all-that-apply (TCATA) and temporal dominance of
 sensations (TDS). Methods are mainly from manuscripts by Castura, J.C.,
 Antúnez, L., Giménez, A., and Ares, G. (2016)
 <doi:10.1016/j.foodqual.2015.06.017>, Castura, Baker, and Ross (2016)
 <doi:10.1016/j.foodqual.2016.06.011>, and Pineau et al. (2009)
 <doi:10.1016/j.foodqual.2009.04.005>.

Package: r-cran-tempstable
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1059
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-copula, r-cran-doparallel, r-cran-foreach, r-cran-gsl, r-cran-hypergeo, r-cran-moments, r-cran-numderiv, r-cran-stabledist, r-cran-stableestim, r-cran-rootsolve, r-cran-vgam
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-v8
Filename: pool/dists/focal/main/r-cran-tempstable_0.2.2-1.ca2004.1_all.deb
Size: 883740
MD5sum: 282f2c3a37125032fc5b601b4e61ea88
SHA1: 82e315786534899bc200edbfa9156afe6e9070fe
SHA256: cf86e1eb350c56bb4e4bad753fee773d4e1808cbb14f9ede062f1fd360760bc5
SHA512: a49f8d42021283f9881acd5749c1ff507e25c901bbbd332304862ce464091ee0cd7273e23b3b9cd42cf311c20b68ee0b96ecc6fb3bc12d377882b16601cd3815
Homepage: https://cran.r-project.org/package=TempStable
Description: CRAN Package 'TempStable' (A Collection of Methods to Estimate Parameters of DifferentTempered Stable Distributions)
 A collection of methods to estimate parameters of different tempered stable
 distributions (TSD). Currently, there are seven different tempered stable
 distributions to choose from: Tempered stable subordinator distribution,
 classical TSD, generalized classical TSD, normal TSD, modified TSD, rapid
 decreasing TSD, and Kim-Rachev TSD.  The package also provides functions to
 compute density and probability functions and tools to run Monte Carlo
 simulations.  This package has already been used for the estimation of
 tempered stable distributions (Massing (2023) <arXiv:2303.07060>).  The
 following references form the theoretical background for various functions
 in this package. References for each function are explicitly listed in its
 documentation: Bianchi et al. (2010) <doi:10.1007/978-88-470-1481-7_4>
 Bianchi et al. (2011) <doi:10.1137/S0040585X97984632> Carrasco (2017)
 <doi:10.1017/S0266466616000025> Feuerverger (1981)
 <doi:10.1111/j.2517-6161.1981.tb01143.x> Hansen et al. (1996)
 <doi:10.1080/07350015.1996.10524656> Hansen (1982) <doi:10.2307/1912775>
 Hofert (2011) <doi:10.1145/2043635.2043638> Kawai & Masuda (2011)
 <doi:10.1016/j.cam.2010.12.014> Kim et al. (2008)
 <doi:10.1016/j.jbankfin.2007.11.004> Kim et al. (2009)
 <doi:10.1007/978-3-7908-2050-8_5> Kim et al. (2010)
 <doi:10.1016/j.jbankfin.2010.01.015> Kuechler & Tappe (2013)
 <doi:10.1016/j.spa.2013.06.012> Rachev et al. (2011)
 <doi:10.1002/9781118268070>.

Package: r-cran-tempted
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3239
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-np, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tempted_0.1.1-1.ca2004.1_all.deb
Size: 3124408
MD5sum: d2830783eb0378ef0eb89c32b0d66ede
SHA1: 571d0787cd47bbd310c9dfdf3ac20516f386eea0
SHA256: f6d9b0c8cd59375fb2be4b2914526e697d3144d30f398480728b0289891635bb
SHA512: 762dfcc5a159cf866254dd1d9003d271e92db355be7ca35203fe793088ca10e72b7be90349f8492f8009d3cf970f0adebb2318d917d2535d988b59b7bb8e864f
Homepage: https://cran.r-project.org/package=tempted
Description: CRAN Package 'tempted' (Temporal Tensor Decomposition, a Dimensionality Reduction Toolfor Longitudinal Multivariate Data)
 TEMPoral TEnsor Decomposition (TEMPTED), is a dimension reduction method for
 multivariate longitudinal data with varying temporal sampling. It formats
 the data into a temporal tensor and decomposes it into a summation of
 low-dimensional components, each consisting of a subject loading vector, a
 feature loading vector, and a continuous temporal loading function. These
 loadings provide a low-dimensional representation of subjects or samples and
 can be used to identify features associated with clusters of subjects or
 samples. TEMPTED provides the flexibility of allowing subjects to have
 different temporal sampling, so time points do not need to be binned, and
 missing time points do not need to be imputed.

Package: r-cran-tendril
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1832
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-plyr, r-cran-reshape2, r-cran-magrittr, r-cran-scales, r-cran-plotly
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-tendril_2.0.4-1.ca2004.1_all.deb
Size: 1262740
MD5sum: 8aa08892e8d13e28b90a0a890730b740
SHA1: a74191ce7a19127e29de61a17d37f17fb537772c
SHA256: 520ef0516d67c7320ef33669e8e300c0cfcca40a29f5b7f1a477e2df9d88e876
SHA512: d3f9a60107b6a3d6c67a23f1c081ebe1ac3beb77d0540d67866167ff8b4fdd4cbe42f11dab5148481d11ed2abed367f1de67a02971e3f5610833b932bfaf54db
Homepage: https://cran.r-project.org/package=Tendril
Description: CRAN Package 'Tendril' (Compute and Display Tendril Plots)
 Compute the coordinates to produce a tendril plot.  In the tendril plot,
 each tendril (branch) represents a type of events, and the direction of the
 tendril is dictated by on which treatment arm the event is occurring. If an
 event is occurring on the first of the two specified treatment arms, the
 tendril bends in a clockwise direction.  If an event is occurring on the
 second of the treatment arms, the tendril bends in an anti-clockwise
 direction.  Ref: Karpefors, M and Weatherall, J., "The Tendril Plot - a
 novel visual summary of the incidence, significance and temporal aspects of
 adverse events in clinical trials" - JAMIA 2018; 25(8): 1069-1073
 <doi:10.1093/jamia/ocy016>.

Package: r-cran-tenispolar
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tenispolar_0.1.4-1.ca2004.1_all.deb
Size: 21440
MD5sum: c4c7f176c5a87a0ae42054eb557f76d6
SHA1: 37e21e28dfe857fad096467ed09de3c2faa9ad2d
SHA256: 940f1bd4a158caa0fd4f100ecfc8458f25cc2859a8c31e08aa18c5b6ab2197c7
SHA512: 24b6b76a8a34444d4d5c1380e75b58eb87a2a23e0e7328ec3e76f0aea0223749653a51055cdfb8e4329e92671f2180433ce9545344c2a6971b5a8abe1290e2bc
Homepage: https://cran.r-project.org/package=tenispolaR
Description: CRAN Package 'tenispolaR' (Provides ZENIT-POLAR Substitution Cipher Method of Encryption)
 Implementation of ZENIT-POLAR substitution cipher method of encryption using
 by default the TENIS-POLAR cipher. This last cipher of encryption became
 famous through the collection of Brazilian books "Os Karas" by the author
 Pedro Bandeira. For more details, see "A Cryptographic Dictionary" (GC&CS,
 1944).

Package: r-cran-tenm
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2696
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-terra, r-cran-sf, r-cran-purrr, r-cran-dplyr, r-cran-stringr, r-cran-rgl, r-cran-future, r-cran-tidyr, r-cran-furrr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tenm_0.5.1-1.ca2004.1_all.deb
Size: 1000688
MD5sum: b8ca10b4498400ecf01abbf3cb8b00b8
SHA1: 94cff438b412e224b4eea941ae4e4ba722e8aec1
SHA256: aba4f47f3ba2c8a40ecc4a02c69c7d5a0be37c05cb87668e62b244322775eb77
SHA512: c3735c6c382083de279703ac171423dc7ab91db214b6adbd51036b0fd642af42186dab52d377452fa6603a43b7b9afdf20cff1541c67c0eac2914de4263024cc
Homepage: https://cran.r-project.org/package=tenm
Description: CRAN Package 'tenm' (Temporal Ecological Niche Models)
 Implements methods and functions to calibrate time-specific niche models
 (multi-temporal calibration), letting users execute a strict calibration and
 selection process of niche models based on ellipsoids, as well as functions
 to project the potential distribution in the present and in global change
 scenarios.The 'tenm' package has functions to recover information that may
 be lost or overlooked while applying a data curation protocol. This curation
 involves preserving occurrences that may appear spatially redundant
 (occurring in the same pixel) but originate from different time periods. A
 novel aspect of this package is that it might reconstruct the fundamental
 niche more accurately than mono-calibrated approaches. The theoretical
 background of the package can be found in Peterson et al.
 (2011)<doi:10.5860/CHOICE.49-6266>.

Package: r-cran-tensor
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tensor_1.5.1-1.ca2004.1_all.deb
Size: 15104
MD5sum: fa30455052362643f9521f44872f9e6a
SHA1: eab4a141b156c1d4e1385d46b4cd69ad6b7c15e5
SHA256: 11a357ec8122cfab1f2f1882d0ee6f7e4508731d702a9a348ca7d3df411d555e
SHA512: 17edf0ae97ec959d65e0e7e69d2df1e7973799223c3f7db6ff5a966f3edd1d9f9d21e7449649430229019a2195b5610c56078b8518f618c97e8df9e09b4cbeee
Homepage: https://cran.r-project.org/package=tensor
Description: CRAN Package 'tensor' (Tensor Product of Arrays)
 The tensor product of two arrays is notionally an outer product of the
 arrays collapsed in specific extents by summing along the appropriate
 diagonals.

Package: r-cran-tensorbf
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tensor
Filename: pool/dists/focal/main/r-cran-tensorbf_1.0.2-1.ca2004.1_all.deb
Size: 95936
MD5sum: def6c2907ab8ad35e8e859b87e401a0f
SHA1: eed9eba3b2278885798f49416a2a65da3f59fb5e
SHA256: d38ce48e2b1250b4dd6e57687004adf8b6f9bb2390047f6f7d4941be501b3af9
SHA512: f9477958708bcdfee4cf3a0d9eb5cb90f11e1939d24ec88d9740f6d6a06c6a2788d541b4d76de13c5cc96ce9b01bcf0d918c85179ee98723f28b445b0b3a2868
Homepage: https://cran.r-project.org/package=tensorBF
Description: CRAN Package 'tensorBF' (Bayesian Tensor Factorization)
 Bayesian Tensor Factorization for decomposition of tensor data sets using
 the trilinear CANDECOMP/PARAFAC (CP) factorization, with automatic component
 selection. The complete data analysis pipeline is provided, including
 functions and recommendations for data normalization and model definition,
 as well as missing value prediction and model visualization. The method
 performs factorization for three-way tensor datasets and the inference is
 implemented with Gibbs sampling.

Package: r-cran-tensorcomplete
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma, r-cran-tensorregress, r-cran-mass
Filename: pool/dists/focal/main/r-cran-tensorcomplete_0.2.0-1.ca2004.1_all.deb
Size: 88016
MD5sum: 5699fa42401939e12c296d7021f98986
SHA1: 3526acf5d54c94a0894defa7854bd6a047d22320
SHA256: 919761605e5ba529d6fd4fa4d4a4e04b8cfd14695de8a8cdad8b5a93827927b8
SHA512: 02cf45663b3f78e2b8e777c8db2e667bb6a5a669b2606b55cc8d7742916f0b28136b36677e1aa7cdcc930ff9e33dee695432b2d5632c7e454e9e6765b35fc6e7
Homepage: https://cran.r-project.org/package=TensorComplete
Description: CRAN Package 'TensorComplete' (Tensor Noise Reduction and Completion Methods)
 Efficient algorithms for tensor noise reduction and completion. This package
 includes a suite of parametric and nonparametric tools for estimating tensor
 signals from noisy, possibly incomplete observations. The methods allow a
 broad range of data types, including continuous, binary, and ordinal-valued
 tensor entries. The algorithms employ the alternating optimization. The
 detailed algorithm description can be found in the following three
 references.

Package: r-cran-tensorflow
Architecture: all
Version: 2.16.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 274
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-config, r-cran-processx, r-cran-reticulate, r-cran-tfruns, r-cran-yaml, r-cran-tfautograph, r-cran-rstudioapi, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-keras3, r-cran-pillar, r-cran-withr, r-cran-callr
Filename: pool/dists/focal/main/r-cran-tensorflow_2.16.0-1.ca2004.1_all.deb
Size: 205408
MD5sum: 94caeb3fcfaacf8181d2a41866580e4c
SHA1: 4fd6ac0aa905b9097e953a6ccbf3d7110c43d139
SHA256: c7124a5665b10276f269db52468a447dcb5e118e04a941d7915127f5149ae980
SHA512: 40b6445a04fc493b00bb70b1f1e37f33cfcd80acd28243d1bb56166fede514bc3a51c5ff652c8306dac081407d3cb0877f47758093c51bd510e0cb22a31186d8
Homepage: https://cran.r-project.org/package=tensorflow
Description: CRAN Package 'tensorflow' (R Interface to 'TensorFlow')
 Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source
 software library for numerical computation using data flow graphs. Nodes in
 the graph represent mathematical operations, while the graph edges represent
 the multidimensional data arrays (tensors) communicated between them. The
 flexible architecture allows you to deploy computation to one or more 'CPUs'
 or 'GPUs' in a desktop, server, or mobile device with a single 'API'.
 'TensorFlow' was originally developed by researchers and engineers working
 on the Google Brain Team within Google's Machine Intelligence research
 organization for the purposes of conducting machine learning and deep neural
 networks research, but the system is general enough to be applicable in a
 wide variety of other domains as well.

Package: r-cran-tensorfun
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-climprojdiags, r-cran-psychtools, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tensorfun_0.1.1-1.ca2004.1_all.deb
Size: 40228
MD5sum: 294eee0e4fbecf58fbc2a6c9babe5fbf
SHA1: e44634bcf04d8a2b5294af0e0b5c7b2e64b34156
SHA256: 08fea01bc8b43740b125178eeb3fb1b85873ac8ae6819ccb6b62ed965f8e07cb
SHA512: 6267c91a41819009b45c62aebd9fe42f97ec977c41832f41c1c12dae925290292ce8e1721cfa955e80e10071b73fe421924e3f410d3677fb9e84ecc02f9befa7
Homepage: https://cran.r-project.org/package=tensorFun
Description: CRAN Package 'tensorFun' (Basic Functions to Handle Tensor Data in Array Class)
 Basic functions to handle higher-order tensor data. See Kolda and Bader
 (2009) <doi:10.1137/07070111X> for details on tensor. While existing
 packages on tensor data extend the base 'array' class to some S4 classes,
 this package serves as an alternative resort to handle tensor only as
 'array' class.  Some functionalities related to missingness and
 rearrangement, discussed in Bai and Ng (2021) <arXiv:1910.06677>, are also
 supported.

Package: r-cran-tensorpreave
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1030
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rtensor, r-cran-mass, r-cran-pracma
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tensorpreave_1.1.0-1.ca2004.1_all.deb
Size: 964984
MD5sum: 07ae8708214879fa47c46b1b717b25d4
SHA1: 8bbbf401109424e05043d5c4101a27e7898fc5fb
SHA256: 0f8afde3822d92680b8816d1fe43c8f0b3b55a8167e750f316c2f95865ec962b
SHA512: fc9bc65196a2a9483b3d8e8d5a136a35e4aa584d0fd9aba7ecb52dd79145fe12fd94b781f84e5d11da92498887f06326e74726b1330486adf2acc74e066f1309
Homepage: https://cran.r-project.org/package=TensorPreAve
Description: CRAN Package 'TensorPreAve' (Rank and Factor Loadings Estimation in Time Series Tensor FactorModels)
 A set of functions to estimate rank and factor loadings of time series
 tensor factor models. A tensor is a multidimensional array. To analyze
 high-dimensional tensor time series, factor model is a major dimension
 reduction tool. 'TensorPreAve' provides functions to estimate the rank of
 core tensors and factor loading spaces of tensor time series. More
 specifically, a pre-averaging method that accumulates information from
 tensor fibres is used to estimate the factor loading spaces. The estimated
 directions corresponding to the strongest factors are then used for
 projecting the data for a potentially improved re-estimation of the factor
 loading spaces themselves. A new rank estimation method is also implemented
 to utilizes correlation information from the projected data.  See Chen and
 Lam (2023) <arXiv:2208.04012> for more details.

Package: r-cran-tensorr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 868
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertive.base, r-cran-assertive.properties, r-cran-assertive.types, r-cran-matrix, r-cran-purrr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tensorr_0.1.1-1.ca2004.1_all.deb
Size: 503564
MD5sum: a5d8672a91a0df3d2180d4dddfdf2b9c
SHA1: bed8d370642423b0160e26f4fcb5b6fc45b5a226
SHA256: 0d88bf200a879354150afb8ed34dd42886e75d6976d9d5126805dcd31d773c86
SHA512: 1f36c65f1f395c0d031a33c2e754f5e779ae3c0b99cc08db566fbcf327cfe172dd314bbcf6b00ea6f5112b03cd2dfcfa399a2ebfb649d6f7ef01e510bd406e76
Homepage: https://cran.r-project.org/package=tensorr
Description: CRAN Package 'tensorr' (Sparse Tensors in R)
 Provides methods to manipulate and store sparse tensors. Tensors are
 multidimensional generalizations of matrices (two dimensional) and vectors
 (one dimensional).

Package: r-cran-tensorregress
Architecture: all
Version: 5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 572
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pracma, r-cran-mass
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Size: 519448
MD5sum: 68a38b83e0833c212547f15ab4376196
SHA1: 48771cf6894ae7f9760c6d6a03979c1584efa29d
SHA256: 73fb45d78a162d3f1f8b2ce10f81f9f47ea2d65363aa0fa1f1b2a6fa7687a7c4
SHA512: c4622d633d9435408d6750f99890319d606e77505d515b2c6009fe2b64adfd219f813b25785f967a37c73c3959d472b14290a21452154a53fe57a21562d972cf
Homepage: https://cran.r-project.org/package=tensorregress
Description: CRAN Package 'tensorregress' (Supervised Tensor Decomposition with Side Information)
 Implement the alternating algorithm for supervised tensor decomposition with
 interactive side information. Details can be found in the publication Hu,
 Jiaxin, Chanwoo Lee, and Miaoyan Wang. "Generalized Tensor Decomposition
 with features on multiple modes." Journal of Computational and Graphical
 Statistics, Vol. 31, No. 1, 204-218, 2022
 <doi:10.1080/10618600.2021.1978471>.

Package: r-cran-tensortest2d
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3371
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-abind, r-cran-glmnet, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tensortest2d_1.1.2-1.ca2004.1_all.deb
Size: 3416776
MD5sum: f743e17cc45e2bb7f42273b05eaf0f5a
SHA1: 4faa644d29336504943267fd0e1eb45879bc2163
SHA256: 492a5a58470ec55b172f79343b01922f48216a91ba93097effb32d16d212871a
SHA512: 971aa243d85fcf35903c21b6d8184bec0f86fd66795659ac7716ef9c56cfe1f6c7c80e73d879f6f4846ac30ed285bc9fb05dc07e945c8e679d4daa378932a67e
Homepage: https://cran.r-project.org/package=TensorTest2D
Description: CRAN Package 'TensorTest2D' (Fitting Second-Order Tensor Data)
 An implementation of fitting generalized linear models on second-order
 tensor type data. The functions within this package mainly focus on
 parameter estimation, including parameter coefficients and standard
 deviation.

Package: r-cran-tensortools
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4703
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-raster, r-cran-png, r-cran-wavethresh, r-cran-gsignal, r-cran-matrix, r-cran-matrixcalc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tensortools_1.0.0-1.ca2004.1_all.deb
Size: 4449696
MD5sum: e4e75f74e5a64d7b594beb8fe06cd1a3
SHA1: e448ee0013aaec73cc84a56e4427d4f4149d5096
SHA256: 86edcb17a5760d8365a4f8847762cce17472b1326655f0f681f7410309c760d1
SHA512: 9cb61bb09a8b8b184a1f8859625dac84263dd7d5b3745eb9dac145ec55912f089f3c13cabada37accc1617bdc749a3bc6f70560c78f8e1224aa79863295f7392
Homepage: https://cran.r-project.org/package=TensorTools
Description: CRAN Package 'TensorTools' (Multilinear Algebra)
 A set of tools for basic tensor operators.  A tensor in the context of data
 analysis in a multidimensional array. The tools in this package rely on
 using any discrete transformation (e.g. Fast Fourier Transform (FFT)).
 Standard tools included are the Eigenvalue decomposition of a tensor, the QR
 decomposition and LU decomposition.  Other functionality includes the
 inverse of a tensor and the transpose of a symmetric tensor. Functionality
 in the package is outlined in Kernfeld, E., Kilmer, M., and Aeron, S. (2015)
 <doi:10.1016/j.laa.2015.07.021>.

Package: r-cran-tensorts
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tensor, r-cran-rtensor, r-cran-expm, r-cran-mass, r-cran-abind, r-cran-matrix, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-tensorts_1.0.2-1.ca2004.1_all.deb
Size: 225740
MD5sum: 6924fcad0157debb92366d7d2f356147
SHA1: 45b88826d05368992aed0cdde1b0bcb241f27458
SHA256: 52fb834bec0eb6a5efefc0516f645b6fc829d5ae27dfea4f90c8f22418621b2a
SHA512: e3c6e6da26c7164ff042b7a64b0a4c6cd34c5e5e33f22a412175d6e2b4c1d2509910f8707123021c5d52d9570a01356561087c2562c5148cbfaceb9474bcd8d8
Homepage: https://cran.r-project.org/package=tensorTS
Description: CRAN Package 'tensorTS' (Factor and Autoregressive Models for Tensor Time Series)
 Factor and autoregressive models for matrix and tensor valued time series.
 We provide functions for estimation, simulation and prediction. The models
 are discussed in Li et al (2021) <doi:10.48550/arXiv.2110.00928>, Chen et al
 (2020) <DOI:10.1080/01621459.2021.1912757>, Chen et al (2020)
 <DOI:10.1016/j.jeconom.2020.07.015>, and Xiao et al (2020)
 <doi:10.48550/arXiv.2006.02611>.

Package: r-cran-tensr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 380
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tensr_1.0.1-1.ca2004.1_all.deb
Size: 238696
MD5sum: 974f451b451fd3746e5d6bc60143f907
SHA1: d9bee28ba1a2414c32125c1d2695bd88384d79d2
SHA256: 0977f92b2bb130082599d1f68d87d0bd00c98d1340db60b87e3bbed2d657112a
SHA512: c638151ac77d84a6f3f7c7e68c61dc1dc130140298bca8e39d57e7cecc00126f02bd8c7cdff2cd2a3c6f734b6891a7e1351d233c45c50848c117e28b59a30b21
Homepage: https://cran.r-project.org/package=tensr
Description: CRAN Package 'tensr' (Covariance Inference and Decompositions for Tensor Datasets)
 A collection of functions for Kronecker structured covariance estimation and
 testing under the array normal model. For estimation, maximum likelihood and
 Bayesian equivariant estimation procedures are implemented. For testing, a
 likelihood ratio testing procedure is available. This package also contains
 additional functions for manipulating and decomposing tensor data sets. This
 work was partially supported by NSF grant DMS-1505136. Details of the
 methods are described in Gerard and Hoff (2015)
 <doi:10.1016/j.jmva.2015.01.020> and Gerard and Hoff (2016)
 <doi:10.1016/j.laa.2016.04.033>.

Package: r-cran-tepr
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5591
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2, r-cran-pracma, r-cran-ggrepel, r-cran-matrixstats, r-cran-rlang, r-cran-magrittr, r-cran-purrr, r-bioc-rtracklayer, r-bioc-genomicranges, r-bioc-genomeinfodb, r-cran-valr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tepr_1.1.8-1.ca2004.1_all.deb
Size: 3664572
MD5sum: 16e861e40b118d0d607b4540c10c75c1
SHA1: 4c0f5755cc5bf53e739a24b80dd467abdcdedb20
SHA256: dbbf92b630f5d286758e1150e29ce28fd7d3d096ec0c7992a61b2f89a89860e5
SHA512: 6efe67e43decef464f85eb48e6953fa427bef857527eedafa57d694ff8b060fa816d97aa9725416312a1663a293f06baedeb4ebf5f7a5e05984100958e3673d2
Homepage: https://cran.r-project.org/package=tepr
Description: CRAN Package 'tepr' (Transcription Elongation Profiling)
 The general principle relies on calculating the cumulative signal of nascent
 RNA sequencing over the gene body of any given gene or transcription unit.
 'tepr' can identify transcription attenuation sites by comparing profile to
 a null model which assumes uniform read density over the entirety of the
 transcription unit. It can also identify increased or diminished
 transcription attenuation by comparing two conditions. Besides rigorous
 statistical testing and high sensitivity, a major feature of 'tepr' is its
 ability to provide the elongation pattern of each individual gene, including
 the position of the main attenuation point when such a phenomenon occurs.
 Using 'tepr', users can visualize and refine genome-wide aggregated analyses
 of elongation patterns to robustly identify effects specific to subsets of
 genes. These metrics are suitable for internal comparisons (between genes in
 each condition) and for studying elongation of the same gene in different
 conditions or comparing it to a perfect theoretical uniform elongation.

Package: r-cran-teqr
Architecture: all
Version: 6.0-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-teqr_6.0-0-1.ca2004.1_all.deb
Size: 61360
MD5sum: 5d492c5358cc2a2d427831f19578d40a
SHA1: a0aa0d786516fd49989dfa5d54299584dc57fa1e
SHA256: ba80b76d686532ebde96eadd9e320ea372f2e087c882f54cc5fde5386dbdab90
SHA512: 4954ff9f0ba371e685dbad140b0581404f1bfe1caabdbd8069c460dfdf5b87d5da6557198981817d857c35432b78b21a51333a1a2baac1d50c529086060b9146
Homepage: https://cran.r-project.org/package=TEQR
Description: CRAN Package 'TEQR' (Target Equivalence Range Design)
 The TEQR package contains software to calculate the operating
 characteristics for the TEQR and the ACT designs.The TEQR (toxicity
 equivalence range) design is a toxicity based cumulative cohort design with
 added safety rules. The ACT (Activity constrained for toxicity) design is
 also a cumulative cohort design with additional safety rules. The unique
 feature of this design is that dose is escalated based on lack of activity
 rather than on lack of toxicity and is de-escalated only if an unacceptable
 level of toxicity is experienced.

Package: r-cran-teraplusb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-teraplusb_1.0-1.ca2004.1_all.deb
Size: 40136
MD5sum: 724b34df3b1ffe8325e46abd9459bd6f
SHA1: 1208458b13aa0f09de6c16d503cdad0e7e81cfef
SHA256: 4687c289eb2f59203adcafdaa9c94d261908d53a8ef7e7ab26692fcdc50e9b8d
SHA512: ff2be04ed7620e2941bd5a17043d0b6f6f6c8e38338711199fd48d330d9e1fe28f1add8dfbfea9e59d9540c43ced68ff25e2db81997933240a98a1665e0f7b83
Homepage: https://cran.r-project.org/package=TERAplusB
Description: CRAN Package 'TERAplusB' (Test for A+B Traditional Escalation Rule)
 This package is for the comparison of various types of A+B escalation rules
 for dose finding trials.

Package: r-cran-term
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-extras, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-universals, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-term_0.3.6-1.ca2004.1_all.deb
Size: 141536
MD5sum: a74c53cdcba62594bdd373c7fe1a03c7
SHA1: 3f2066782767896dec5b1319e938205f49a45c4b
SHA256: 8d357f710f1204773562cef267cb90c1fae1a79456e79cf989786a12228a096f
SHA512: 993e8c9bc0e1b52e4bcd4f95e2ab76f9deb340b4f0f4917fc902fc72764179f08d25e5fb0638695534d267f51f12d25284435ca20cbd65de32d86a2259e67c5f
Homepage: https://cran.r-project.org/package=term
Description: CRAN Package 'term' (Create, Manipulate and Query Parameter Terms)
 Creates, manipulates, queries and repairs vectors of parameter terms.
 Parameter terms are the labels used to reference values in vectors, matrices
 and arrays. They represent the names in coefficient tables and the column
 names in 'mcmc' and 'mcmc.list' objects.

Package: r-cran-tern.gee
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1144
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tern, r-cran-checkmate, r-cran-emmeans, r-cran-formatters, r-cran-geeasy, r-cran-geepack, r-cran-nlme, r-cran-rtables
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tern.gee_0.1.5-1.ca2004.1_all.deb
Size: 370432
MD5sum: 90fc93ad5279d9050e621b200df5264c
SHA1: 732b4fa46c3e6c0d03295dfe995c5e513479190d
SHA256: 2d318c922a3fd2559c9ff6ec6467443c90178bc73fff0623abe3bf35a150a343
SHA512: 96bd66d3a5bafe3a65af2bb843a5f4f7c8fc01fd6bcbf4c3cf2aa0859d5341a299f35239f9d5dc5425d82740147e461bf92b32e63570b7b202c7f6d9d37db943
Homepage: https://cran.r-project.org/package=tern.gee
Description: CRAN Package 'tern.gee' (Tables and Graphs for Generalized Estimating Equations (GEE)Model Fits)
 Generalized estimating equations (GEE) are a popular choice for analyzing
 longitudinal binary outcomes. This package provides an interface for fitting
 GEE, currently for logistic regression, within the 'tern'
 <https://cran.r-project.org/package=tern> framework (Zhu, Sabanés Bové et
 al., 2023) and tabulate results easily using 'rtables'
 <https://cran.r-project.org/package=rtables> (Becker, Waddell et al., 2023).
 It builds on 'geepack' <doi:10.18637/jss.v015.i02> (Højsgaard, Halekoh and
 Yan, 2006) for the actual GEE model fitting.

Package: r-cran-tern.mmrm
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1295
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tern, r-cran-checkmate, r-cran-cowplot, r-cran-dplyr, r-cran-emmeans, r-cran-formatters, r-cran-generics, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-mmrm, r-cran-parallelly, r-cran-rlang, r-cran-rtables, r-cran-tidyr
Suggests: r-cran-broom, r-cran-knitr, r-cran-maditr, r-cran-matrix, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tern.mmrm_0.3.2-1.ca2004.1_all.deb
Size: 495500
MD5sum: a14b6185128be3c10bd107c2473f2faa
SHA1: daa8a6da1f14a438d443b4b65a39cc9667b5b4b6
SHA256: 7e514b769ca3141169d628123937a6bea4ade7472597c4a2c04557a4a531de56
SHA512: 297f1c0330fcd9581493558ea7f33217c5b0b923b96290a0b4648d6c08ab4efdfb465b433d86ac582195fa8ab874984a46d1df65b925ba53cdfe25f1a8e84655
Homepage: https://cran.r-project.org/package=tern.mmrm
Description: CRAN Package 'tern.mmrm' (Tables and Graphs for Mixed Models for Repeated Measures (MMRM))
 Mixed models for repeated measures (MMRM) are a popular choice for analyzing
 longitudinal continuous outcomes in randomized clinical trials and beyond;
 see for example Cnaan, Laird and Slasor (1997)
 <doi:10.1002/(SICI)1097-0258(19971030)16:20%3C2349::AID-SIM667%3E3.0.CO;2-E>.
 This package provides an interface for fitting MMRM within the 'tern'
 <https://cran.r-project.org/package=tern> framework by Zhu et al.  (2023)
 and tabulate results easily using 'rtables'
 <https://cran.r-project.org/package=rtables> by Becker et al. (2023).  It
 builds on 'mmrm' <https://cran.r-project.org/package=mmrm> by Sabanés Bové
 et al. (2023) for the actual MMRM computations.

Package: r-cran-tern.rbmi
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1157
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rbmi, r-cran-tern, r-cran-broom, r-cran-checkmate, r-cran-formatters, r-cran-lifecycle, r-cran-magrittr, r-cran-rtables
Suggests: r-cran-bh, r-cran-dplyr, r-cran-knitr, r-cran-matrix, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-rstan, r-cran-testthat, r-cran-tidyr, r-cran-v8
Filename: pool/dists/focal/main/r-cran-tern.rbmi_0.1.5-1.ca2004.1_all.deb
Size: 347004
MD5sum: c0644c2a988c45928c21274cae3919d7
SHA1: a625fb413858692964c5a7f0a2871aba43cf6a7a
SHA256: 66ce6381479a6221bef99f154f9cbdaf07b4977d8a08750fdbaddb4efca50b6b
SHA512: bcc2fe5f2512a6a89ffd7ae88f8edf35fe37731ba4855a983bf143b3da926bd551cfb8511f55d28d77f4be63f16a117a4b4e70bde488b73904723da8091ca70b
Homepage: https://cran.r-project.org/package=tern.rbmi
Description: CRAN Package 'tern.rbmi' (Create Interface for 'RBMI' and 'tern')
 'RBMI' implements standard and reference based multiple imputation methods
 for continuous longitudinal endpoints (Gower-Page et al. (2022)
 <doi:10.21105/joss.04251>). This package provides an interface for 'RBMI'
 uses the 'tern' <https://cran.r-project.org/package=tern> framework by Zhu
 et al.  (2023) and tabulate results easily using 'rtables'
 <https://cran.r-project.org/package=rtables> by Becker et al. (2023).

Package: r-cran-tern
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9372
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rtables, r-cran-broom, r-cran-car, r-cran-checkmate, r-cran-cowplot, r-cran-dplyr, r-cran-emmeans, r-cran-forcats, r-cran-formatters, r-cran-ggplot2, r-cran-gridextra, r-cran-gtable, r-cran-labeling, r-cran-lifecycle, r-cran-magrittr, r-cran-mass, r-cran-nestcolor, r-cran-rdpack, r-cran-rlang, r-cran-scales, r-cran-survival, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-lattice, r-cran-lubridate, r-cran-rmarkdown, r-cran-stringr, r-cran-svglite, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tern_0.9.9-1.ca2004.1_all.deb
Size: 4171708
MD5sum: f2a610320cb3e62a0c36fc446d1af61a
SHA1: 0f01c12654c2c15e9a39cc3207dee014150f840b
SHA256: 740b8e4e3d576dbe5b94e0c285ee7b0f9f41510c0d5d025cf631b55b772ddd0b
SHA512: 34f11d73b880b4a4c6c673bc8db393959bbd310109f6fb65220059362dcfb3cef95d3591e775ccda1c5f42697c6271d5d4a267dc18e622729ddcc8e782805e5c
Homepage: https://cran.r-project.org/package=tern
Description: CRAN Package 'tern' (Create Common TLGs Used in Clinical Trials)
 Table, Listings, and Graphs (TLG) library for common outputs used in
 clinical trials.

Package: r-cran-ternary
Architecture: all
Version: 2.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6457
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-plottools, r-cran-rcpphungarian, r-cran-shiny, r-cran-sp
Suggests: r-cran-colourpicker, r-cran-knitr, r-cran-readxl, r-cran-rmarkdown, r-cran-shinyjs, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-ternary_2.3.4-1.ca2004.1_all.deb
Size: 2842908
MD5sum: 6a174b6fe8abb2584938063d471b23b4
SHA1: c7028e273695ec121eb6abd4125b3ac8a40d6cb7
SHA256: 313195353ae3c972cfc5fae79d45265b6e25e81e632f258d5e894c1de294a307
SHA512: 2634c5e3210b4587e54eaaee89982d0fffecc29971445ca3d30ddad46d366945969828c31a3272b00d46f0d3d68ddeebb8048e20ea6980c85bd6fc16dcec6ff5
Homepage: https://cran.r-project.org/package=Ternary
Description: CRAN Package 'Ternary' (Create Ternary and Holdridge Plots)
 Plots ternary diagrams (simplex plots / Gibbs triangles) and Holdridge life
 zone plots <doi:10.1126/science.105.2727.367> using the standard graphics
 functions.  Allows custom annotation, interpolating, contouring and scaling
 of plotting region.  Includes a 'Shiny' user interface for point-and-click
 ternary plotting.  An alternative to 'ggtern', which uses the 'ggplot2'
 family of plotting functions.

Package: r-cran-ternvis
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 789
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-quadprog, r-cran-maps, r-cran-dichromat
Filename: pool/dists/focal/main/r-cran-ternvis_1.3-1.ca2004.1_all.deb
Size: 770780
MD5sum: 954abbc57038aa2f0c1b0c3019be56c9
SHA1: 0cc601303e6eb3dc7d55f5b7b0d547e01f4da594
SHA256: cf28cff5869ffb3fd84c8144911260aa26d3a693945e3c56763bf339dfa4da9d
SHA512: 16b166647e1d62589fdcda67cb3956ec18b6ec0f1e4afc38f53cfe5eb7124d35dd553bcfbce4c4d2433972664decbe7bc90e7e1ef614bb2091bbbd558f900038
Homepage: https://cran.r-project.org/package=ternvis
Description: CRAN Package 'ternvis' (Visualisation, Verification and Calibration of TernaryProbabilistic Forecasts)
 A suite of functions for visualising ternary probabilistic forecasts, as
 discussed in the paper by Jupp (2012) <doi:10.1098/rsta.2011.0350>.

Package: r-cran-terrainr
Architecture: all
Version: 0.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2934
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-ggplot2, r-cran-glue, r-cran-httr, r-cran-magick, r-cran-png, r-cran-rlang, r-cran-sf, r-cran-terra, r-cran-unifir, r-cran-units
Suggests: r-cran-brio, r-cran-covr, r-cran-jpeg, r-cran-knitr, r-cran-progress, r-cran-progressr, r-cran-rmarkdown, r-cran-testthat, r-cran-tiff
Filename: pool/dists/focal/main/r-cran-terrainr_0.7.5-1.ca2004.1_all.deb
Size: 1985732
MD5sum: 731c6ce959dfd82a57d27b2a4c5fab0a
SHA1: af038b40061ee5b695fb7bbe51e2cdb4e9cf041d
SHA256: 443f4f3430035c478a9ab40d036cdab5e918e3659379e8b4bf97ecc4373c837f
SHA512: 571b01a8a4b6db6b18eef966a17fc2628e0bef4fa4d6bf3f9cf435e8961dbfa4f2b4b7a805f0eb6e4b9fe7dd5b8651c5cb72ad6450330a7bf9cdb46c7d4693f0
Homepage: https://cran.r-project.org/package=terrainr
Description: CRAN Package 'terrainr' (Landscape Visualizations in R and 'Unity')
 Functions for the retrieval, manipulation, and visualization of 'geospatial'
 data, with an aim towards producing '3D' landscape visualizations in the
 'Unity' '3D' rendering engine. Functions are also provided for retrieving
 elevation data and base map tiles from the 'USGS' National Map
 <https://apps.nationalmap.gov/services/>.

Package: r-cran-tesiprov
Architecture: all
Version: 0.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 482
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-nloptr, r-cran-edfun, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-evd
Filename: pool/dists/focal/main/r-cran-tesiprov_0.9.2-1.ca2004.1_all.deb
Size: 332424
MD5sum: e90df3c51651303d1d1d2a4f6790288e
SHA1: a49af7276afe010169efe49bb3fcd159ccc9ef03
SHA256: d40edaeb2cc769cf61283684a7a9ab74ff86178362b3d724ffc7959167c5d3ea
SHA512: ab19ed6394db8c209c3cc592c8c0b3a7914aba85c08077332ded9e7dcb25da2521d0cc5ea7281a382c4fb0efab7a3433f2d22de695cffc2f562a771e2ff1acee
Homepage: https://cran.r-project.org/package=TesiproV
Description: CRAN Package 'TesiproV' (Calculation of Reliability and Failure Probability in CivilEngineering)
 Calculate the failure probability of civil engineering problems with Level I
 up to Level III Methods. Have fun and enjoy. References: Spaethe (1991,
 ISBN:3-211-82348-4) "Die Sicherheit tragender Baukonstruktionen", AU,BECK
 (2001) "Estimation of small failure probabilities in high dimensions by
 subset simulation." <doi:10.1016/S0266-8920(01)00019-4>, Breitung (1989)
 "Asymptotic approximations for probability integrals."
 <doi:10.1016/0266-8920(89)90024-6>.

Package: r-cran-tesselle
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dimensio, r-cran-folio, r-cran-isopleuros, r-cran-kairos, r-cran-khroma, r-cran-nexus, r-cran-tabula
Filename: pool/dists/focal/main/r-cran-tesselle_1.6.0-1.ca2004.1_all.deb
Size: 102048
MD5sum: ab96e60c55577fd0d35b67d5e12dcc1c
SHA1: 71c5ff4d73e5ba6b266b358dd6aeef89ef2647be
SHA256: fb935130f21c31dd9724d42f019c5940f9a7cd5c87e655bc8ebeb092fdba12e5
SHA512: e07cc30cb21be9bedb46b0863eb7259d596ead72be86e6007e4c5f0dbd174144f9a8127366c358c05ad9c55c4012f0cf8d5f35f4b4b4c4392b9cef53e12ac65c
Homepage: https://cran.r-project.org/package=tesselle
Description: CRAN Package 'tesselle' (Easily Install and Load 'tesselle' Packages)
 Easy install and load key packages from the 'tesselle' suite in a single
 step. The 'tesselle' suite is a collection of packages for research and
 teaching in archaeology. These packages focus on quantitative analysis
 methods developed for archaeology. The 'tesselle' packages are designed to
 work seamlessly together and to complement general-purpose and other
 specialized statistical packages.  These packages can be used to explore and
 analyze common data types in archaeology: count data, compositional data and
 chronological data.  Learn more about 'tesselle' at
 <https://www.tesselle.org>.

Package: r-cran-test2norm
Architecture: all
Version: 0.3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mfp2
Filename: pool/dists/focal/main/r-cran-test2norm_0.3.0.1-1.ca2004.1_all.deb
Size: 59224
MD5sum: 73b8c0a630a565732b8fde7f356d8be0
SHA1: c29905016b5f4e7858cff756aa41a0760ee3bc06
SHA256: a422bbdde574d70198b3e365b76a3825c1ebde916fda600a6c6de9feac01c67b
SHA512: 8fe76fea3b5b492b94a0fdd2836f3ec7f7bb6d5d5e816fc4c6e3bef6c97786f39eac9e36e55335a7723271d31f16a4583ccc24b58949a2474356effe6881f10d
Homepage: https://cran.r-project.org/package=test2norm
Description: CRAN Package 'test2norm' (Normative Standards for Cognitive Tests)
 Package test2norm contains functions to generate formulas for normative
 standards applied to cognitive tests. It takes raw test scores (e.g., number
 of correct responses) and converts them to scaled scores and demographically
 adjusted scores, using methods described in Heaton et al.  (2003)
 <doi:10.1016/B978-012703570-3/50010-9> & Heaton et al. (2009,
 ISBN:9780199702800). The scaled scores are calculated as quantiles of the
 raw test scores, scaled to have the mean of 10 and standard deviation of 3,
 such that higher values always correspond to better performance on the test.
 The demographically adjusted scores are calculated from the residuals of a
 model that regresses scaled scores on demographic predictors (e.g., age).
 The norming procedure makes use of the mfp2() function from the 'mfp2'
 package to explore nonlinear associations between cognition and demographic
 variables.

Package: r-cran-testanaapp
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 674
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mirt, r-cran-shinydashboard, r-cran-estcrm, r-cran-shiny, r-cran-dt, r-cran-golem, r-cran-officedown, r-cran-stringr, r-cran-dplyr, r-cran-brucer, r-cran-officer, r-cran-openxlsx, r-cran-rmarkdown, r-cran-plotrix, r-cran-cowplot, r-cran-flextable, r-cran-shinycssloaders, r-cran-tidyr, r-cran-difr, r-cran-lordif, r-cran-latticeextra, r-cran-semplot
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-testanaapp_1.1.2-1.ca2004.1_all.deb
Size: 567544
MD5sum: 6ff589f4168215499b2b085574867b6d
SHA1: 69d3c18fbfd729d8ac1f4a33f5fcb60361c2f84d
SHA256: 3f90d9d4ea2d531b0a5553ed8984623472348abd61d378713109036a0e528765
SHA512: 521b7bd3994eef280c8c0b567c55a335335b76da70583770b18929c98077bb0d2b7eee00823b1d310d80508d2bca7fda65bfb1419895deb68a1d3f94febd89dc
Homepage: https://cran.r-project.org/package=TestAnaAPP
Description: CRAN Package 'TestAnaAPP' (A 'shiny' App for Test Analysis and Visualization)
 This application provides exploratory and confirmatory factor analysis,
 classical test theory, unidimensional and multidimensional item response
 theory, and continuous item response model analysis, through the 'shiny'
 interactive interface. In addition, it offers rich functionalities for
 visualizing and downloading results. Users can download figures, tables, and
 analysis reports via the interactive interface.

Package: r-cran-testarguments
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 539
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-reshape2, r-cran-plyr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-testarguments_0.0.1-1.ca2004.1_all.deb
Size: 368524
MD5sum: 4a3c3f19dfa12adecbbeed2d19d1e196
SHA1: 165f34971e13e33dfb56969b4772ded9dba24f72
SHA256: 5fdbc84b46581efe8ac11a5fd531394e8b05015cba961bc51c2247d9eeb64aee
SHA512: 9c266a2df329704cf1d84148fe593cbe5db4584d36e4c18f0ba45c91fae919107727806aec975fa058205b3d57b7ac2f8f086d16d8a782468eb5b0fd5a404f98
Homepage: https://cran.r-project.org/package=testarguments
Description: CRAN Package 'testarguments' (Test (Multiple) Arguments of a User-Defined Prediction Algorithm)
 Finding the best values for user-specified arguments of a prediction
 algorithm can be difficult, particularly if there is an interaction between
 argument levels. This package automates the testing of any user-defined
 prediction algorithm over an arbitrary number of arguments. It includes
 functions for testing the algorithm over the given arguments with respect to
 an arbitrary number of user-defined diagnostics, visualising the results of
 these tests, and finding the optimal argument combinations with respect to
 each diagnostic.

Package: r-cran-testassay
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-testassay_0.1.1-1.ca2004.1_all.deb
Size: 54648
MD5sum: eb2ddf8f774272351142a4e506b004f2
SHA1: 0413657652ea1c060f7987b14cc65927d5907acb
SHA256: b59c6fd16b81ff14de97ef4043c9a1d4f00f7d634c82385c07215b23cb158b95
SHA512: 27d51cae44ed55202076bfd21f5f7de23d6a3aac3a76562ceb769aa3a77c9823555bb1764205c352b0a0cd525c984adb198751c073866632434453aa83ccb3e7
Homepage: https://cran.r-project.org/package=testassay
Description: CRAN Package 'testassay' (A Hypothesis Testing Framework for Validating an Assay forPrecision)
 A common way of validating a biological assay for is through a procedure,
 where m levels of an analyte are measured with n replicates at each level,
 and if all m estimates of the coefficient of variation (CV) are less than
 some prespecified level, then the assay is declared validated for precision
 within the range of the m analyte levels. Two limitations of this procedure
 are: there is no clear statistical statement of precision upon passing, and
 it is unclear how to modify the procedure for assays with constant standard
 deviation.  We provide tools to convert such a procedure into a set of m
 hypothesis tests.  This reframing motivates the m:n:q procedure, which upon
 completion delivers a 100q% upper confidence limit on the CV. Additionally,
 for a post-validation assay output of y, the method gives an ``effective
 standard deviation interval'' of log(y) plus or minus r, which is a 68%
 confidence interval on log(mu), where mu is the expected value of the assay
 output for that sample. Further, the m:n:q procedure can be
 straightforwardly applied to constant standard deviation assays.  We
 illustrate these tools by applying them to a growth inhibition assay. This
 is an implementation of the methods described in Fay, Sachs, and Miura
 (2018) <doi:10.1002/sim.7528>.

Package: r-cran-testcomparer
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-testcomparer_1.1.1-1.ca2004.1_all.deb
Size: 131564
MD5sum: ba138ff731e55a305f126ee2b25cf7ba
SHA1: 301a8132e57a47a306399537369b42481eddd071
SHA256: 7e88a7c47f0aef9080abd9a6680a8737eb7099a48cd03a1fa346597f96768e9e
SHA512: ceec04c13d1900b31884e0a491eff97a5e260b2188d926d301ce36dac010375ab0fce477e96147c1df0ed722e18bc3a3c9cba8e6207d692a8f620645b8a4cf05
Homepage: https://cran.r-project.org/package=testCompareR
Description: CRAN Package 'testCompareR' (Comparing Two Diagnostic Tests with Dichotomous Results usingPaired Data)
 Provides a method for comparing the results of two binary diagnostic tests
 using paired data.  Users can rapidly perform descriptive and inferential
 statistics in a single function call. Options permit users to select which
 parameters they are interested in comparing and methods for correction for
 multiple comparisons.  Confidence intervals are calculated using the methods
 with the best coverage. Hypothesis tests use the methods with the best
 asymptotic performance. A summary of the methods is available in
 Roldán-Nofuentes (2020) <doi:10.1186/s12874-020-00988-y>.  This package is
 targeted at clinical researchers who want to rapidly and effectively compare
 results from binary diagnostic tests.

Package: r-cran-testcorr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 945
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-reshape2, r-cran-forcats, r-cran-knitr, r-cran-xts, r-cran-zoo
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-testcorr_0.3.0-1.ca2004.1_all.deb
Size: 797616
MD5sum: 45c896c4edb1fbf079db53c98a88cc93
SHA1: 28655e6e9e9e4956b304d6d75fdcab5e1fb22711
SHA256: f9ce6ed27b328b9d65dd7d7984fe1505ba39974180a242a4949744e9bb88a9e4
SHA512: 7aba4d0681798ba98ae8ded20d5f832fed4036a42f4b5a825aa13a3987f247bc35e7788abf69a2ace4fb071dfab12747593fa0411643aa7d81962ec46e24b811
Homepage: https://cran.r-project.org/package=testcorr
Description: CRAN Package 'testcorr' (Testing Zero Correlation)
 Computes the test statistics for examining the significance of
 autocorrelation in univariate time series, cross-correlation in bivariate
 time series, Pearson correlations in multivariate series and test statistics
 for i.i.d. property of univariate series given in Dalla, Giraitis and
 Phillips (2022),
 <https://www.cambridge.org/core/journals/econometric-theory/article/abs/robust-tests-for-white-noise-and-crosscorrelation/4D77C12C52433F4C6735E584C779403A>,
 <https://elischolar.library.yale.edu/cowles-discussion-paper-series/57/>.

Package: r-cran-testdat
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-testthat, r-cran-dplyr, r-cran-glue, r-cran-lifecycle, r-cran-rlang, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-labelled, r-cran-lubridate, r-cran-openxlsx, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-testdat_0.4.2-1.ca2004.1_all.deb
Size: 224356
MD5sum: 8717d09f15f821e9b5119d140c8bc0a0
SHA1: 96832f845bd5949faf795f845b6ae312f6c77570
SHA256: 37cfd28d556f731457417de122ea0c31ceaabbf7e73f1438475bb4401988611d
SHA512: cc48efbcad24fbabde02479f8fd611d87ce9044c79530908a7bab476a970dc525e1696cd7dcf143226db13d8de814b504715fdf689741a755700e12f942a04d1
Homepage: https://cran.r-project.org/package=testdat
Description: CRAN Package 'testdat' (Data Unit Testing for R)
 Test your data! An extension of the 'testthat' unit testing framework with a
 family of functions and reporting tools for checking and validating data
 frames.

Package: r-cran-testdataimputation
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mice, r-cran-amelia
Filename: pool/dists/focal/main/r-cran-testdataimputation_2.3-1.ca2004.1_all.deb
Size: 65080
MD5sum: 251e4b903c86765dcb392d1b74348480
SHA1: 5b495fd0ade352a78b8a80dece9f70c353db80e4
SHA256: fd6fb4dea19348cc5a23cbaec6c67a2d6fa27aab4566d2ab2497df300fe5afb5
SHA512: 2b95d2027e57190a580c67c968a7376bcd9de727f590ba073d104758914141cf002fc774126abd9fd47eedc40ad0bd28288ed1cb0dce48c77f16ea9b54faf48a
Homepage: https://cran.r-project.org/package=TestDataImputation
Description: CRAN Package 'TestDataImputation' (Missing Item Responses Imputation for Test and Assessment Data)
 Functions for imputing missing item responses for dichotomous and polytomous
 test and assessment data. This package enables missing imputation methods
 that are suitable for test and assessment data, including: listwise (LW)
 deletion (see De Ayala et al. 2001
 <doi:10.1111/j.1745-3984.2001.tb01124.x>), treating as incorrect (IN, see
 Lord, 1974 <doi: 10.1111/j.1745-3984.1974.tb00996.x>; Mislevy & Wu, 1996
 <doi: 10.1002/j.2333-8504.1996.tb01708.x>; Pohl et al., 2014 <doi:
 10.1177/0013164413504926>), person mean imputation (PM), item mean
 imputation (IM), two-way (TW) and response function (RF) imputation, (see
 Sijtsma & van der Ark, 2003 <doi: 10.1207/s15327906mbr3804_4>), logistic
 regression (LR) imputation, predictive mean matching (PMM), and
 expectation–maximization (EM) imputation (see Finch, 2008 <doi:
 10.1111/j.1745-3984.2008.00062.x>).

Package: r-cran-testdimorph
Architecture: all
Version: 0.5.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 404
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-corrplot, r-cran-dplyr, r-cran-ggplot2, r-cran-morpho, r-cran-multcompview, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-testdimorph_0.5.8-1.ca2004.1_all.deb
Size: 318556
MD5sum: 859e84b8b068e3e06ddad1df339f5f19
SHA1: f84c3b847df14892efd1b7236d44737ab028dde0
SHA256: 0acf83c5da57b74564762ae50a57c012227bca1d90a9be779c9e806d52f65d59
SHA512: 878ed1096de4edb4e5f5a187c1fe7bfb6d031c4c216a6b192a7382f84b8fe58069ad365bf00f97bbaeffc827aed4a45e469a3bc8e7f8eeabe95fc453d299a0ab
Homepage: https://cran.r-project.org/package=TestDimorph
Description: CRAN Package 'TestDimorph' (Analysis of the Interpopulation Difference in Degree of SexualDimorphism Using Summary Statistics)
 Offers a solution for the unavailability of raw data in most anthropological
 studies by facilitating the calculations of several sexual dimorphism
 related analyses using the published summary statistics of metric data
 (mean, standard deviation and sex specific sample size) as illustrated by
 the works of Relethford, J. H., & Hodges, D. C. (1985)
 <doi:10.1002/ajpa.1330660105>, Greene, D. L. (1989)
 <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991)
 <doi:10.1002/ajpa.1330840110>.

Package: r-cran-testdriver
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-testdriver_0.5.3-1.ca2004.1_all.deb
Size: 227992
MD5sum: 1cc1291b8b9107bab9aa281f19053dad
SHA1: ba47486f8cbddc6af9d6857ecdde00d032c605da
SHA256: 629c2d9f119e87aed1185c59a0401a4c820693d53f2f824073ec0c764dcecfac
SHA512: 3d6e766a8181057c0397631603756f3f9cb846d317f2710a5e7d5914fc16b284d78fa6e0e07d2585460a5858a3d6737f93b5c593a3c0fe110751e4832a6be2c9
Homepage: https://cran.r-project.org/package=testDriveR
Description: CRAN Package 'testDriveR' (Teaching Data for Statistics and Data Science)
 Provides data sets for teaching statistics and data science courses.  It
 includes a sample of data from John Edmund Kerrich's famous coinflip
 experiment. These are data that I used for statistics. The package also
 contains an R Markdown template with the required formatting for assignments
 in my former courses.

Package: r-cran-testequavar
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-testequavar_0.1.5-1.ca2004.1_all.deb
Size: 38592
MD5sum: 833816fde65832b880ef5fe609e5060a
SHA1: aa82ef02d870391a4a0cab77a73049bc16eb15ae
SHA256: 6bdb50572a4fa211a922b0e7a4fa1cab6cb47898af45f164c31a43f2bbbdb541
SHA512: 2ef2955790d5ec55a554b20907a50eeaf1720e7761c095b0730df83b304c060d940d695feba9d9a2daaf2ffd2626f932f1e91940dd3401c273ed123e17eeeee7
Homepage: https://cran.r-project.org/package=testequavar
Description: CRAN Package 'testequavar' (Bootstrap Tests for Equality of 2, 3, or 4 Population Variances)
 Tests the hypothesis that variances are homogeneous or not using bootstrap.
 The procedure uses a variance-based statistic, and is derived from a
 normal-theory test.  The test equivalently expressed the hypothesis as a
 function of the log contrasts of the population variances. A box-type
 acceptance region is constructed to test the hypothesis. See Cahoy (2010)
 \doi{10.1016/j.csda.2010.04.012}.

Package: r-cran-tester
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tester_0.2.0-1.ca2004.1_all.deb
Size: 226820
MD5sum: 6602c044cb553bb9b4dbdfa7789d4326
SHA1: e2224cdf9597d7efeb805815402afd04dd4f6035
SHA256: 47d4b379cdef482d5d20d84a4d2e9737bad75444f22d15a22f7e48060a119c95
SHA512: 8674530f972e7f3ab5a36bac9a0d0104630109a8e584fddc44c38936dd3a379d30d26dccfdd73a2af1d7ff960578887fd13b163b4259188c54103a9a4c83d803
Homepage: https://cran.r-project.org/package=tester
Description: CRAN Package 'tester' (Tests and Checks Characteristics of R Objects)
 Allows users to test characteristics of common R objects.

Package: r-cran-testex
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-withr, r-cran-callr, r-cran-roxygen2, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-testex_0.2.0-1.ca2004.1_all.deb
Size: 126864
MD5sum: 70e884f42db0962980c9d9e6add7a7f9
SHA1: 7d54fe485531b61ef113c45de76febdbf8eef3a5
SHA256: 26306d1027ce3450e16294c700462e7f3593715db8d120c57ac8553c99a2bc8c
SHA512: 90914059f16523aa0c5b071e369438c0888ab7b529157121ae2b8d9679a9bb64b4254799dd499bf7b3817946c7763cf73da75d5de5b1ac67d2f56eea7e70e7aa
Homepage: https://cran.r-project.org/package=testex
Description: CRAN Package 'testex' (Add Tests to Examples)
 Add tests in-line in examples. Provides standalone functions for
 facilitating easier test writing in Rd files. However, a more familiar
 interface is provided using 'roxygen2' tags. Tools are also provided for
 facilitating package configuration and use with 'testthat'.

Package: r-cran-testfunctions
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-contourfunctions, r-cran-numderiv, r-cran-rmarkdown
Suggests: r-cran-knitr, r-cran-covr, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-testfunctions_0.2.2-1.ca2004.1_all.deb
Size: 218612
MD5sum: 736391190d9cc6547b1184f9a7097ca6
SHA1: a7038958239e2a50589744731e97ca52a1c57fb9
SHA256: 722c701eb11875804cd238787590c4d2cb65e7d304b89cafeead90224b14c2af
SHA512: b4d36b330726adebbcf196ae11f90fa43a0aa5423a6ac416ba9c300a5ee845d59cf801c810b6b6c7640b2c242d6eb62bbf03b92a360fe95c57020454ca8a230f
Homepage: https://cran.r-project.org/package=TestFunctions
Description: CRAN Package 'TestFunctions' (Test Functions for Simulation Experiments and EvaluatingOptimization and Emulation Algorithms)
 Test functions are often used to test computer code.  They are used in
 optimization to test algorithms and in metamodeling to evaluate model
 predictions. This package provides test functions that can be used for any
 purpose.

Package: r-cran-testgardener
Architecture: all
Version: 3.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 934
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fda, r-cran-rgl, r-cran-ggplot2, r-cran-plotly, r-cran-dplyr, r-cran-ggpubr, r-cran-stringr, r-cran-tidyr, r-cran-pracma, r-cran-utf8, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-testgardener_3.3.5-1.ca2004.1_all.deb
Size: 911676
MD5sum: 4b0b10ba2a0629b0b82d1fce3b0aa8bd
SHA1: 95f3b6ce92a23a647a8cfddd0a458a1bfd272f6d
SHA256: 74532fadaaa1716c9934472a870248ea4929f65ee87a4c7296041174b1199b82
SHA512: 0caa7739ac9b9ed0613737e2a8201a803949e16f9405b07bb1a8eda066b68208c07473fbfaba2c5e97d3f1d5ed74ccfce1b59b9d67d299892a1e2a68a5227367
Homepage: https://cran.r-project.org/package=TestGardener
Description: CRAN Package 'TestGardener' (Information Analysis for Test and Rating Scale Data)
 Develop, evaluate, and score multiple choice examinations, psychological
 scales, questionnaires, and similar types of data involving sequences of
 choices among one or more sets of answers.  This version of the package
 should be considered as brand new.  Almost all of the functions have been
 changed, including their argument list.  See the file NEWS.Rd in the Inst
 folder for more information.  Using the package does not require any formal
 statistical knowledge beyond what would be provided by a first course in
 statistics in a social science department.  There the user would encounter
 the concept of probability and how it is used to model data and make
 decisions, and would become familiar with basic mathematical and statistical
 notation.  Most of the output is in graphical form.

Package: r-cran-testgenerator
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1651
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-jsonlite, r-cran-readxl, r-cran-readr, r-cran-cdmconnector, r-cran-dbi, r-cran-dplyr, r-cran-checkmate, r-cran-glue, r-cran-duckdb, r-cran-cli, r-cran-rlang, r-cran-withr, r-cran-ggplot2, r-cran-tibble, r-cran-testthat, r-cran-arrow, r-cran-openxlsx, r-cran-omopgenerics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-curl, r-cran-httr
Filename: pool/dists/focal/main/r-cran-testgenerator_0.4.0-1.ca2004.1_all.deb
Size: 342692
MD5sum: a19b63dcd63a5fa1be3b12de5b5679c4
SHA1: 36e83e50331cef05bcb7bb6ef715de027db25de8
SHA256: 229a6acfc44126e143ce16836f22185c9e566f13d629678c27aff08f35ca9c9b
SHA512: ed8e87c475621dba39118df8b4af7894ea7e406c5856175d4d001f938779d226df7f9d4317b675b642545df0cb4578f7fb2d95d5e4fbc732d859893e2dbf9c0f
Homepage: https://cran.r-project.org/package=TestGenerator
Description: CRAN Package 'TestGenerator' (Integration Unit Tests for Pharmacoepidemiological Studies)
 An R interface to load testing data in the 'OMOP' Common Data Model ('CDM').
 An input file, csv or xlsx, can be converted to a 'CDMConnector' object.
 This object can be used to execute and test studies that use the 'CDM'
 <https://www.ohdsi.org/data-standardization/>.

Package: r-cran-testindvars
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 279
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrixcalc, r-cran-mass
Filename: pool/dists/focal/main/r-cran-testindvars_0.1.0-1.ca2004.1_all.deb
Size: 235256
MD5sum: 8cf893b9ac9436c58ea56d49c99b10ae
SHA1: 803eba346021caffb3cb297ef797e1e56fd4b86c
SHA256: 9de742187fc9b64b17c7b2fb636f097fe41848cb475aa9a42aa27488f0b644b2
SHA512: dd815ae925b444757219a01f9becb8410c7a99b0b992a1e05688f5778b21888937638811b8f43aff2b8425883335ac6a6a42c9ac6be6e4c730e89e7397be75d8
Homepage: https://cran.r-project.org/package=TestIndVars
Description: CRAN Package 'TestIndVars' (Testing the Independence of Variables for Specific CovarianceStructures)
 Test the nullity of covariances, in a set of variables, using a simple
 univariate procedure. See Marques, Diago, Norouzirad, Bispo (2023)
 <doi:10.1002/mma.9130>.

Package: r-cran-testingsimilarity
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-dosefinding, r-cran-alabama
Filename: pool/dists/focal/main/r-cran-testingsimilarity_1.1-1.ca2004.1_all.deb
Size: 35512
MD5sum: ea47362608cde29ab86a2a89b0346840
SHA1: 6884651b0cee2a739c99ec0879801aed96fbad4d
SHA256: 0cd9ecfc26d41b7cfa3e0f813896c9658c274c56b0cd5ff8269110f4108c2b3c
SHA512: 456a5c5ce5371e46c4f63b6329a5383be0df301e882d1f25f60173ecfad8d27b3182a68ac99ed435537617804e836101ca54af474205fc42afb72b0033e2b017
Homepage: https://cran.r-project.org/package=TestingSimilarity
Description: CRAN Package 'TestingSimilarity' (Bootstrap Test for the Similarity of Dose Response CurvesConcerning the Maximum Absolute Deviation)
 Provides a bootstrap test which decides whether two dose response curves can
 be assumed as equal concerning their maximum absolute deviation. A plenty of
 choices for the model types are available, which can be found in the
 'DoseFinding' package, which is used for the fitting of the models. See
 <doi:10.1080/01621459.2017.1281813> for details.

Package: r-cran-testit
Architecture: all
Version: 0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rstudioapi, r-cran-covr
Filename: pool/dists/focal/main/r-cran-testit_0.13-1.ca2004.1_all.deb
Size: 32264
MD5sum: 0ccdf531534c2e353583a2e4e07e71bc
SHA1: e0f791a3fcdfaba0c6c77cf30ed1d183c24fcecb
SHA256: c6190e104e025a06c30f66312953185294b8ef26add8d7ab4d2a19316a7a9c49
SHA512: 196f9813f5af737875726871cb80d711676000db19c0a254a82994ad26db5155ec3fb825f35fa04440bb5ff9e2538fdd144a03d068f80bfaf9cfc579765a2a5c
Homepage: https://cran.r-project.org/package=testit
Description: CRAN Package 'testit' (A Simple Package for Testing R Packages)
 Provides two convenience functions assert() and test_pkg() to facilitate
 testing R packages.

Package: r-cran-testscorer
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 588
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-testscorer_1.7.2-1.ca2004.1_all.deb
Size: 491836
MD5sum: b460b3c0b2eda43d37286d9ae82e7aaf
SHA1: 9a9727123f00c9926c2e466352286ace361b90fc
SHA256: fff512dfe34479b8b5571182617ca8a8d5dceb1de45ef53e584cbf3eeb081fa2
SHA512: 0949e324d3edd5e273c80dd906f78ca171758e8361362b8445fb1b6f32cbb6f3d1eacab0c98168bd5205e236a2eed9421ed74f4316474553da71ce3ac43a33df
Homepage: https://cran.r-project.org/package=TestScorer
Description: CRAN Package 'TestScorer' (GUI for Entering Test Items and Obtaining Raw and TransformedScores)
 GUI for entering test items and obtaining raw and transformed scores. The
 results are shown on the console and can be saved to a tabular text file for
 further statistical analysis. The user can define his own tests and scoring
 procedures through a GUI.

Package: r-cran-testthatmulti
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-testthatmulti_0.1.0-1.ca2004.1_all.deb
Size: 17556
MD5sum: ad9367ba4945d4b1caaedad3f5bb9541
SHA1: bf2eac549628795f9a31d09b77046c8e2ae6fc0f
SHA256: bbd9286db41ed159009ae877efae9dcef169eb9346aa9ad5f927dec05e710467
SHA512: f06771e146bcb37b86646da4f49f2a7409b1f10b588150bc63f6ae2c57e2f8afce3fc277740d62fc98342fac03580f1ad405eefd62317b21a2f1c03050e2f05e
Homepage: https://cran.r-project.org/package=testthatmulti
Description: CRAN Package 'testthatmulti' (Testing for R Packages with Multiple Attempts for Noisy Tests)
 Runs tests using the 'testthat' package but allows for multiple attempts for
 a single test. This is useful for noisy or flaky tests that generally pass
 but can fail due to occasional random errors, such as numeric instability or
 using random data.

Package: r-cran-testthis
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-assertthat, r-cran-devtools, r-cran-fs, r-cran-magrittr, r-cran-pkgload, r-cran-rprojroot, r-cran-stringi, r-cran-testthat, r-cran-usethis
Suggests: r-cran-covr, r-cran-crayon, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-testthis_1.1.1-1.ca2004.1_all.deb
Size: 127344
MD5sum: 36ffd6ea7b65be360640ddcc7ca2440b
SHA1: 0ce84fd893573588bbc54babae931ce610604595
SHA256: c13f9f9b8659e7b11b997509bc71c187b561290ee8c290f86a7bc604fc0e768f
SHA512: a8ba621d64f6e89b71fe8713eeaa3796fe2de64874168d8482a3995b0e32ff574cabaa2b745ac78d70f844c25f8c3ce8dffb89831306d91ec439bfb253a17f27
Homepage: https://cran.r-project.org/package=testthis
Description: CRAN Package 'testthis' (Utils and 'RStudio' Addins to Make Testing Even More Fun)
 Utility functions and 'RStudio' addins for writing, running and organizing
 automated tests. Integrates tightly with the packages 'testthat', 'devtools'
 and 'usethis'.  Hotkeys can be assigned to the 'RStudio' addins for running
 tests in a single file or to switch between a source file and the associated
 test file. In addition, testthis provides function to manage and run tests
 in subdirectories of the test/testthat directory.

Package: r-cran-testtwice
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-testtwice_1.0.3-1.ca2004.1_all.deb
Size: 55504
MD5sum: ab38437b75dee56c5acdfcac0e7a3e3f
SHA1: 508bfeec5baa078fa9a19b18bfeacca8a5508870
SHA256: 45a5db37ab040530f1a65abf2f47b22b47ac45017a9048fcef91818a8af5645c
SHA512: 7bdda5239bf1541fb21f19caabdda1261dd227ebf64e750318499b823e59871c9af8e21fbf0e76bd1b37f7f8b33bc0f02981366cad47bdaec4ec0fdbcad51f38
Homepage: https://cran.r-project.org/package=testtwice
Description: CRAN Package 'testtwice' (Testing One Hypothesis Twice in Observational Studies)
 Tests one hypothesis with several test statistics, correcting for multiple
 testing.  The central function in the package is testtwice().  In a
 sensitivity analysis, the method has the largest design sensitivity of its
 component tests.  The package implements the method and examples in
 Rosenbaum, P. R. (2012) <doi:10.1093/biomet/ass032> Testing one hypothesis
 twice in observational studies. Biometrika, 99(4), 763-774.

Package: r-cran-tetraclasse
Architecture: all
Version: 0.1.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-tidyr, r-cran-factominer, r-cran-magrittr, r-cran-tibble, r-cran-ggrepel, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tetraclasse_0.1.21-1.ca2004.1_all.deb
Size: 25312
MD5sum: e9f6dd3cb5a95c0d9dca4d360e75eaa9
SHA1: 14f41eedab7fb108651afde1598880c13b1d8ad3
SHA256: 2733bf591fd7e729f4268fab83a64622cfbf17817a8d4e84d899798d69495559
SHA512: 9408b754a66a745c1f99e1c4b56b9701f3e8b4be4b0fb79986a53392486ed99ba90d77f2f9c2ac4f69e4ca0c54cabd9056ffedddc43b34834ce2f2f2c54ce030
Homepage: https://cran.r-project.org/package=tetraclasse
Description: CRAN Package 'tetraclasse' (Satisfaction Analysis using Tetraclasse Model and Llosa Matrix)
 The satisfaction Analysis using the tetraclasse model from Sylvie Llosa.
 Llosa (1997) <http://www.jstor.org/stable/40592578>.

Package: r-cran-tetragon
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-purrr, r-cran-abind, r-cran-ggplot2, r-cran-readr, r-cran-stringr, r-cran-lubridate, r-cran-narray, r-cran-imputets, r-cran-scales, r-cran-tictoc, r-cran-modeest, r-cran-moments, r-cran-greybox, r-cran-dqrng, r-cran-entropy, r-cran-rfast, r-cran-philentropy, r-cran-fastdummies, r-cran-fancova
Filename: pool/dists/focal/main/r-cran-tetragon_1.3.0-1.ca2004.1_all.deb
Size: 68704
MD5sum: 1c0eaaa7bbeb0e95c24dadad7fcafbb0
SHA1: 904caa40c67cd9cc005574f9ee02d95ab9314288
SHA256: 23ca4697ec75404474dae6c078c3166eb0846cf40cd4989af3191610747b64bf
SHA512: f65b9758419b226a91fa9891fe0146414e04d476114b2e507524258566baa2bd23abc494981aeab7199c9c0d619c9c1d88d993540a46d720f1b57d4a012ab273
Homepage: https://cran.r-project.org/package=tetragon
Description: CRAN Package 'tetragon' (Automatic Sequence Prediction by Expansion of the DistanceMatrix)
 Each sequence is predicted by expanding the distance matrix. The compact set
 of hyper-parameters is tuned through random search.

Package: r-cran-tetrys
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 714
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tuner, r-cran-audio
Filename: pool/dists/focal/main/r-cran-tetrys_1.2-1.ca2004.1_all.deb
Size: 668820
MD5sum: 46a6ad11ce62d2f2d1b92b8d36f0a875
SHA1: 70c8f7dae05671534e21af54427faafa427dc603
SHA256: 39eeb512403e0be1490a081d055c35e003cbbdc51acc0a580b274129f90ada87
SHA512: 7caca2841c9fa9e2f85810060b2b9727889a8655d95dc9803984a66293fce29249ac14974e88381912f913081bb0341f7c8369de32bc3bbfafef86d890a890f1
Homepage: https://cran.r-project.org/package=tetRys
Description: CRAN Package 'tetRys' (Game of 'tetRys')
 A game inspired by 'Tetris'. Opens a plot window device and starts a game of
 'tetRys' in it. Steer the tetrominos with the arrow keys, press Pause to
 pause and Esc to end the game.

Package: r-cran-tex4exams
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-numbers, r-cran-fractional, r-cran-pracma, r-cran-polynom
Filename: pool/dists/focal/main/r-cran-tex4exams_0.1.2-1.ca2004.1_all.deb
Size: 74588
MD5sum: 377856e704d5c1136d6134f214fa5a46
SHA1: 7a642a89a99c5eff075706f64a5d6a917c7b888c
SHA256: 44f9d4c9aa4045130648684612a8ff45b2fac60d2d64163e5230a70b31a4d6a6
SHA512: 6379c13d27833935a8bf7dcecc349f534e310b7efc52297e3713ae35aec5e911f74a8ba40ad5d13d601eaa345430982addd7d9f52ea9ae7b0311765a2a781aa9
Homepage: https://cran.r-project.org/package=Tex4exams
Description: CRAN Package 'Tex4exams' (Generating 'Sweave' Code for 'R/exams' Questions in Mathematics)
 When using the R package 'exams' to write mathematics questions in 'Sweave'
 files, the output of a lot of R functions need to be adjusted for display in
 mathematical formulas. Specifically, the functions were accumulated when
 writing questions for the topics of the mathematics courses College Algebra,
 Precalculus, Calculus, Differential Equations, Introduction to Probability,
 and Linear Algebra.  The output of the developed functions can be used in
 'Sweave' files.

Package: r-cran-texcheckr
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-clisymbols, r-cran-crayon, r-cran-data.table, r-cran-fastmatch, r-cran-hunspell, r-cran-hutils, r-cran-magrittr, r-cran-rstudioapi, r-cran-zoo
Suggests: r-cran-devtools, r-cran-readr, r-cran-rlang, r-cran-stringi, r-cran-testthat, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-texcheckr_0.8.1-1.ca2004.1_all.deb
Size: 333412
MD5sum: 22572d73c6c38dedb5499a537e3b7793
SHA1: a44636b5b397dfdfb1e85462baaae54a0e4f0cd9
SHA256: 410d53b9106e8358c11ea98ab987b31360f298e7cd867a42f9a5a56f99d997b8
SHA512: a469d859ef56d20c8d1dc30fe18234ad69c677d65abc0e57a372b3142ecfa6893a2e7c46b6e1a60ccdbc4dcea4ec75be8377b9309ad12046cd92a6e1955cff96
Homepage: https://cran.r-project.org/package=TeXCheckR
Description: CRAN Package 'TeXCheckR' (Parses LaTeX Documents for Errors)
 Checks LaTeX documents and .bib files for typing errors, such as spelling
 errors, incorrect quotation marks. Also provides useful functions for
 parsing and linting bibliography files.

Package: r-cran-texor
Architecture: all
Version: 1.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-pdftools, r-cran-tinytex, r-cran-yaml, r-cran-stringr, r-cran-xfun, r-cran-logger, r-cran-rjtools, r-cran-rebib, r-cran-cli, r-cran-whisker, r-cran-desc
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-spelling, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-texor_1.5.6-1.ca2004.1_all.deb
Size: 696324
MD5sum: aa2bba76912202784f282aed4727c718
SHA1: fe829e0e11543c1503aa3d50223ea644f59fbaae
SHA256: da1e0b53d275ca3b953273cbe9b349308d6ba15bec2ce5279883bf03cd7dae42
SHA512: ad199974f9a5cde9f378abc0ba2a97bf32e458380a6063876f8116a359bf7328e1e40bbdde6114d4e9a9ff951b16ace2a08a48b5c341837e085edb72dfa632a6
Homepage: https://cran.r-project.org/package=texor
Description: CRAN Package 'texor' (Converting 'LaTeX' 'R Journal' Articles into 'RJ-web-articles')
 Articles in the 'R Journal' were first authored in 'LaTeX', which performs
 admirably for 'PDF' files but is less than ideal for modern online
 interfaces.  The 'texor' package does all the transitional chores and
 conversions necessary to move to the online versions.

Package: r-cran-texposition
Architecture: all
Version: 2.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-prettygraphs, r-cran-exposition
Filename: pool/dists/focal/main/r-cran-texposition_2.9.0-1.ca2004.1_all.deb
Size: 98648
MD5sum: 017f8550ade293b1445cb30b7d43d742
SHA1: c7d643fdb135d66d0f16092ad58a4adc12d59e2c
SHA256: 4c62d5e9392ff26175f161f11ab70a8021bad4276af872bc06cae1e020363aff
SHA512: 18379fb9271d4d923b601b4d708cbd4a58e4ef21b75bf5c1b3a088128da64cbe536743b6c7d4a04e7f63a263fa1cc91243143d8e4a1258e7691ba84d331711c1
Homepage: https://cran.r-project.org/package=TExPosition
Description: CRAN Package 'TExPosition' (Two-Table ExPosition)
 An extension of ExPosition for two table analyses, specifically,
 discriminant analyses.

Package: r-cran-texpreview
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 682
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-base64enc, r-cran-details, r-cran-fs, r-cran-htmltools, r-cran-knitr, r-cran-magick, r-cran-rematch2, r-cran-rstudioapi, r-cran-svgpanzoom, r-cran-whisker, r-cran-xml2, r-cran-tinytex
Suggests: r-cran-covr, r-cran-kableextra, r-cran-nlme, r-cran-pdftools, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat, r-cran-texreg, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-texpreview_2.1.0-1.ca2004.1_all.deb
Size: 353996
MD5sum: f3925a1e99a16dd95cf516d99d4c72e4
SHA1: 6baf7a7ab4eb11a49aa4a1a42df798d9e3549e7e
SHA256: 8785203cec1c6ae951c9c547994b6dd104d9fa2b49c10c6271555fd1df7376ac
SHA512: 989999c203938ee24d3b1478c5795f1609bfcf05498773223dd71c8569d562af8f4976d8ec644aa7aa721e30330076ec0be2d9998e699735bc4925039a923aee
Homepage: https://cran.r-project.org/package=texPreview
Description: CRAN Package 'texPreview' (Compile and Preview Snippets of 'LaTeX')
 Compile snippets of 'LaTeX' directly into images from the R console to view
 in the 'RStudio' viewer pane, Shiny apps and 'RMarkdown' documents.

Package: r-cran-texreg
Architecture: all
Version: 1.39.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1477
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr
Suggests: r-cran-broom, r-cran-coda, r-cran-ggplot2, r-cran-huxtable, r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-systemfit, r-cran-testthat, r-cran-lmtest
Filename: pool/dists/focal/main/r-cran-texreg_1.39.4-1.ca2004.1_all.deb
Size: 1159084
MD5sum: dd33ecfadff533bf0c99111fa6f2811d
SHA1: 5189652233bb3b84098d49779e45a82bb706caaa
SHA256: e747b61ffe30066cbf37d8c3c024686138be045b55090f3c60487c1a2d546e92
SHA512: 769e9cc71c27e5376dd3faf268304d5af6139de220a4f4307c5ec4bfcc4e69dfac84a4611a534b6568f1a540ffe052c184fe17840fd5a2d86f443318747864b8
Homepage: https://cran.r-project.org/package=texreg
Description: CRAN Package 'texreg' (Conversion of R Regression Output to LaTeX or HTML Tables)
 Converts coefficients, standard errors, significance stars, and
 goodness-of-fit statistics of statistical models into LaTeX tables or HTML
 tables/MS Word documents or to nicely formatted screen output for the R
 console for easy model comparison. A list of several models can be combined
 in a single table. The output is highly customizable. New model types can be
 easily implemented. Details can be found in Leifeld (2013), JStatSoft
 <doi:10.18637/jss.v055.i08>.)

Package: r-cran-text2emotion
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-textclean, r-cran-magrittr, r-cran-text2vec, r-cran-ranger, r-cran-caret, r-cran-matrix
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-text2emotion_0.1.0-1.ca2004.1_all.deb
Size: 60404
MD5sum: b2572e0fbe828748f4e1ed3d36789c14
SHA1: 2dba49e1bd46169c3d94738c96827c667ddea52e
SHA256: 5c367e264edba775aed529eeac81de757396126a0d753e6251789a8f75464e00
SHA512: 3561a53b151cf3bc95df8e08883086baf0984e30657c8ac94ea332e93e37ff88f0e2957f91e6949bbcc53ca91d9e74d1cd83bf7f8c5de952e68dc7b596a09ccd
Homepage: https://cran.r-project.org/package=text2emotion
Description: CRAN Package 'text2emotion' (Emotion Analysis and Emoji Mapping for Text)
 Allows users to analyze text and classify emotions such as happiness,
 sadness, anger, fear, and neutrality.  It combines text preprocessing,
 TF-IDF (Term Frequency-Inverse Document Frequency) feature extraction, and
 Random Forest classification to predict emotions and map them to
 corresponding emojis for enhanced sentiment visualization.

Package: r-cran-text2map
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 842
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-text2vec, r-cran-doparallel, r-cran-foreach, r-cran-stringi, r-cran-dplyr, r-cran-kit, r-cran-fastmatch, r-cran-qgraph, r-cran-igraph, r-cran-rlang, r-cran-clusterr, r-cran-tibble, r-cran-rsvd, r-cran-permute
Suggests: r-cran-testthat, r-cran-tm, r-cran-quanteda
Filename: pool/dists/focal/main/r-cran-text2map_0.2.0-1.ca2004.1_all.deb
Size: 798776
MD5sum: f04a713781b8a99bf4e061e7aed52ec7
SHA1: d6df4ff59a634ec8112476879a90620c597617c4
SHA256: 545eaf6bb936e055aa32a418aa023da716eb8ac9f3be182f729cb584be0e5f7c
SHA512: 8dacdb730da0bbd15ed46bc0f13e4e1cf4a4ddc5a843fe9760c9624a0e9e0a1f47b2d02d384242fbd7706ca11b5fd2c2b2f3514fad99df64e78a0c6e9051754e
Homepage: https://cran.r-project.org/package=text2map
Description: CRAN Package 'text2map' (R Tools for Text Matrices, Embeddings, and Networks)
 This is a collection of functions optimized for working with with various
 kinds of text matrices. Focusing on the text matrix as the primary object -
 represented either as a base R dense matrix or a 'Matrix' package sparse
 matrix - allows for a consistent and intuitive interface that stays close to
 the underlying mathematical foundation of computational text analysis. In
 particular, the package includes functions for working with word embeddings,
 text networks, and document-term matrices. Methods developed in Stoltz and
 Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020)
 <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020)
 <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021)
 <doi:10.1016/j.poetic.2021.101567>.

Package: r-cran-text2sdg
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1247
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-corpustools, r-cran-tidyr, r-cran-tibble, r-cran-stringr, r-cran-ggplot2, r-cran-lifecycle, r-cran-ranger, r-cran-text2sdgdata
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-text2sdg_1.1.1-1.ca2004.1_all.deb
Size: 1101468
MD5sum: 3ee9d51ecea6516f63d9c8806fd6d4d1
SHA1: da2a62181de6604ed6664cdec05ca7e462687691
SHA256: 45c284fbe805851ace52d22a7a65cf17073169bc2f779c13688cea9797855b7b
SHA512: 93463523371f2f5418a80f3b9a45d49a7e2d7c0616dd3f34e84ec92be5f464a67c113c988c4c49afd0ef27535d1a78d79d7ac2c47faf2bd3a0dae634b1d36b4f
Homepage: https://cran.r-project.org/package=text2sdg
Description: CRAN Package 'text2sdg' (Detecting UN Sustainable Development Goals in Text)
 The United Nations’ Sustainable Development Goals (SDGs) have become an
 important guideline for organisations to monitor and plan their
 contributions to social, economic, and environmental transformations. The
 'text2sdg' package is an open-source analysis package that identifies SDGs
 in text using scientifically developed query systems, opening up the
 opportunity to monitor any type of text-based data, such as scientific
 output or corporate publications. For more information regarding the
 methodology see Meier, Mata & Wulff (2022) <arXiv:2110.05856>.

Package: r-cran-text2sdgdata
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5325
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-text2sdgdata_0.1.1-1.ca2004.1_all.deb
Size: 5410360
MD5sum: 9b85a2e0895f35ec6a52b1a7b956bb05
SHA1: 9cd17c478edeaf6a4b3487f03f5652c07190810a
SHA256: 3387d1593f0699cab6b89431d52767c09acad43458e888ad8440d14c163875ef
SHA512: 0a658e63797640c306993697365fd31c1a9b347661ccfd65112ddf473e58147d50907c618e61054927d3942156a026762d7d4a58997cdc814b2a2e0ead35c6de
Homepage: https://cran.r-project.org/package=text2sdgData
Description: CRAN Package 'text2sdgData' (Contains the Trained 'text2sdg' Ensemble Model Data)
 This is a companion package for the 'text2sdg' package. It contains the
 trained ensemble models needed by the 'detect_sdg' function from the
 'text2sdg' package. See Wulff, Meier and Mata (2023) <arXiv:2301.11353> and
 Meier, Wulff and Mata (2021) <arXiv:2110.05856> for reference.

Package: r-cran-text2speech
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 595
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-aws.signature, r-cran-cli, r-cran-dplyr, r-cran-googleauthr, r-cran-googlelanguager, r-cran-knitr, r-cran-magrittr, r-cran-conrad, r-cran-tidyr, r-cran-tuner, r-cran-withr
Suggests: r-cran-aws.polly, r-cran-covr, r-cran-patrick, r-cran-rmarkdown, r-cran-stringi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-text2speech_1.0.0-1.ca2004.1_all.deb
Size: 329488
MD5sum: b6d294182e253f894977fda5d411536f
SHA1: 75e3e48cff723e6e2de2d7df1d8bd7e4dda89819
SHA256: d8f61e012bfcbf7ef2b616e124f887ad2e2ef1d1c5b8efcc6db411b3d41ab390
SHA512: dc816886ce50b31e20fb7195261ee6615ef7b309bbdc0f49850b11da39322387d477a5cec271c6ce5c1738af1f65e47193d2b0109d38b0ce6e92ce43bf989c72
Homepage: https://cran.r-project.org/package=text2speech
Description: CRAN Package 'text2speech' (Text to Speech Conversion)
 Converts text into speech using various text-to-speech (TTS) engines and
 provides an unified interface for accessing their functionality.  With this
 package, users can easily generate audio files of spoken words, phrases, or
 sentences from plain text data. The package supports multiple TTS engines,
 including Google's 'Cloud Text-to-Speech API', 'Amazon Polly', Microsoft's
 'Cognitive Services Text to Speech REST API', and a free TTS engine called
 'Coqui TTS'.

Package: r-cran-text
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4641
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-topics, r-cran-dplyr, r-cran-tibble, r-cran-stringi, r-cran-tidyr, r-cran-ggplot2, r-cran-ggrepel, r-cran-cowplot, r-cran-rlang, r-cran-purrr, r-cran-magrittr, r-cran-parsnip, r-cran-recipes, r-cran-rsample, r-cran-reticulate, r-cran-tune, r-cran-workflows, r-cran-yardstick, r-cran-future, r-cran-furrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-rio, r-cran-glmnet, r-cran-randomforest, r-cran-overlapping, r-cran-covr, r-cran-xml2, r-cran-ranger, r-cran-ggwordcloud, r-cran-reactable, r-cran-osfr, r-cran-vdiffr, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-text_1.5-1.ca2004.1_all.deb
Size: 2509464
MD5sum: ad71af7d2d8f82ded8bae8204b069c7f
SHA1: f9d25ffc25155d3639e9e5edc886cd63ba8422a2
SHA256: d67687145f4bfd97ef3b74318109b4b4120210b9bd791257689ea63120260fb5
SHA512: 116a57381f18fe8ed7d25afb0d5f66f68bc4d53abf8f689dc21aa4a3e51c93b4382434aac96a956c9b169e87f098489dfec91f0f7767546a956ae2ddcba33c20
Homepage: https://cran.r-project.org/package=text
Description: CRAN Package 'text' (Analyses of Text using Transformers Models from HuggingFace,Natural Language Processing and Machine Learning)
 Link R with Transformers from Hugging Face to transform text variables to
 word embeddings; where the word embeddings are used to statistically test
 the mean difference between set of texts, compute semantic similarity scores
 between texts, predict numerical variables, and visual statistically
 significant words according to various dimensions etc. For more information
 see <https://www.r-text.org>.

Package: r-cran-textab
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-textab_1.0.1-1.ca2004.1_all.deb
Size: 77928
MD5sum: e78b9928715750b326d8337c9711bb1b
SHA1: 040eb93e61149083f2b683c1a0299789b4790424
SHA256: 7db852f4f4c3abff5c81f0e9c5cf6aa86478afbaaec58115d3622caa687cbd6f
SHA512: 703c229ce4ac0f5a44058ac1b8723b0c0853234d7f986c11ec0ef22adcf11a36f1647a79cedc9c40249a328ca66c6395e0ec866319d02a103a12621e26013a14
Homepage: https://cran.r-project.org/package=textab
Description: CRAN Package 'textab' (Create Highly-Customized 'LaTeX' Tables)
 Generate 'LaTeX' tables directly from R. It builds 'LaTeX' tables in blocks
 in the spirit of 'ggplot2' using the '+' and '/' operators for concatenation
 in the vertical and horizontal dimensions, respectively. It exports tables
 in the 'LaTeX' tabular environment using '.tex' code. It can compile '.tex'
 code to 'PDF' automatically.

Package: r-cran-textanalyzer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidytext, r-cran-tidyr, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textanalyzer_0.2.0-1.ca2004.1_all.deb
Size: 45772
MD5sum: 7fd175735e3bfd3019aa57fd7b2cb758
SHA1: 3ef001ed80dff856ab4a0c887abde8a0eef21959
SHA256: 90b213d44804181ac7cb4e74ee987d9f086c9f7642c9660e2ea34f0b8bf8801f
SHA512: 91e94b0621c98ee01590af4ca4faf6a23a62f06d1f159721dd3d3e440c63c03f1a0c67edb30a579c8aba98b202844b335a4cee531d18e8cf3fd165daecd12a33
Homepage: https://cran.r-project.org/package=textanalyzer
Description: CRAN Package 'textanalyzer' ('textanalyzer', an R Package to Analyze Text)
 It analyzes text to create a count of top n-grams, including tokens
 (one-word), bigrams(two-word), and trigrams (three-word), while removing all
 stopwords. It also plots the n-grams and corresponding counts as a bar
 chart.

Package: r-cran-textannotator
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyjs, r-cran-shinyfiles, r-cran-data.tree, r-cran-jsonlite, r-cran-dt, r-cran-readtext, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-textannotator_0.1.4-1.ca2004.1_all.deb
Size: 656824
MD5sum: 1ed9bbbb7beb5e6b12741affe712fbb4
SHA1: d01f4c1f6ee8ca5104a566d0f1f2e756c45f218f
SHA256: 83a891f376a629bc7ccdd280f60a0cb920032c4cc2b6d42e775aad0a8794c6dd
SHA512: 40c6dfb40566afbbadcd18b77cad55ab9eb39fe528252d931d66c1b50d4b8b8de50eedb4ea40b676cdfa6d1ac2d073fb48ff98df2a0d44e954badf778979e386
Homepage: https://cran.r-project.org/package=textAnnotatoR
Description: CRAN Package 'textAnnotatoR' (Interactive Text Annotation Tool with 'shiny' GUI)
 A comprehensive text annotation tool built with 'shiny'. Provides an
 interactive graphical user interface for coding text documents, managing
 code hierarchies, creating memos, and analyzing coding patterns.  Features
 include code co-occurrence analysis, visualization of coding patterns,
 comparison of multiple coding sets, and export capabilities. Supports
 collaborative qualitative research through standardized annotation formats
 and analysis tools.

Package: r-cran-textboxplacement
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textboxplacement_1.0-1.ca2004.1_all.deb
Size: 162132
MD5sum: df7fa572ef7c836ea8d627ab9b71da97
SHA1: 60d29151c8f681b54cc85a231dbdd46241acf57a
SHA256: 3bc06845c49849f3d19d0bc1c9f4884245831ff4231a2de5c2a2b2d106d6f70c
SHA512: 0432545acce8e47cc8083221fa5f63aaef00eac700e20c3434522dbd616f44f9c8e041b3ed70ce759593ad04bf328380bd0c90393cb59ce516336b936625a175
Homepage: https://cran.r-project.org/package=textBoxPlacement
Description: CRAN Package 'textBoxPlacement' (Compute a Non-Overlapping Layout of Text Boxes to Label MultipleOverlain Plots)
 Compute a non-overlapping layout of text boxes to label multiple overlain
 curves. For each curve, iteratively search for an adjacent x,y position for
 the text box that does not overlap with the other curves. If this process
 fails, then offsets are computed to add to the y values for each curve, that
 results in sufficient space to add all of the text labels.

Package: r-cran-textcat
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 413
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tau, r-cran-slam
Filename: pool/dists/focal/main/r-cran-textcat_1.0-9-1.ca2004.1_all.deb
Size: 383608
MD5sum: 5bd72e265b4c001a1667ef71710c46f8
SHA1: b1cc41cc5e117aad7708b028cc5c060f1f228c53
SHA256: 62a8326e008127415f38e522f7168eabe9dd308a98506ae732957fabcc022a18
SHA512: 6f6dabae05aa745a273e5f4fb20b0cea8d471672cc2274e08a38b10a8c4e0baa2ea7390f683b2cf9f987c399a9af94bc4d1086575f6e7a51b4a3ff5d7f24336c
Homepage: https://cran.r-project.org/package=textcat
Description: CRAN Package 'textcat' (N-Gram Based Text Categorization)
 Text categorization based on n-grams.

Package: r-cran-textclean
Architecture: all
Version: 0.9.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-glue, r-cran-lexicon, r-cran-mgsub, r-cran-qdapregex, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textclean_0.9.3-1.ca2004.1_all.deb
Size: 1279488
MD5sum: 55f43a5a6f8c39b8b4b57a0a4dac593d
SHA1: ff82adbffef5c541b18e88659c26ec0b48432673
SHA256: 6cb30d90e8940c959411bd4e9aa5addbe01be4d2b2208b4ff16d1c632fddca60
SHA512: 96ed56b692fff5673042aadee2ab794487586057824ea9bab32e23c57b486dec07beb93451e02708b8ba6ba0fcdda570af43cbaf3ca00a8298f6d8dc54849749
Homepage: https://cran.r-project.org/package=textclean
Description: CRAN Package 'textclean' (Text Cleaning Tools)
 Tools to clean and process text.  Tools are geared at checking for
 substrings that are not optimal for analysis and replacing or removing them
 (normalizing) with more analysis friendly substrings (see Sproat, Black,
 Chen, Kumar, Ostendorf, & Richards (2001) <doi:10.1006/csla.2001.0169>) or
 extracting them into new variables. For example, emoticons are often used in
 text but not always easily handled by analysis algorithms.  The
 replace_emoticon() function replaces emoticons with word equivalents.

Package: r-cran-textdata
Architecture: all
Version: 0.4.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 575
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-rappdirs, r-cran-readr, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textdata_0.4.5-1.ca2004.1_all.deb
Size: 499272
MD5sum: facacb107567d41ff10ee25141278641
SHA1: 48dca02e1fc2edb5f7ff3f987f20f62db500335e
SHA256: 1526c94dcef761ff1ed9aabb8111ec8c56b934424399dc41714331259f5d7623
SHA512: a622e31cb3dc39058bce1e38782758e42414bb88343d4db305ffbf35734eb78ace590f8b7a65b13434a00e3656315bf6600b3f1c3df7748cb94b692911864524
Homepage: https://cran.r-project.org/package=textdata
Description: CRAN Package 'textdata' (Download and Load Various Text Datasets)
 Provides a framework to download, parse, and store text datasets on the disk
 and load them when needed. Includes various sentiment lexicons and labeled
 text data sets for classification and analysis.

Package: r-cran-texteffect
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-boot, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-texteffect_0.3-1.ca2004.1_all.deb
Size: 69048
MD5sum: 54a3e0f1bbe56fef74cea936de1e6c24
SHA1: 736e41c372c5dd7cec895bc913a4ef8981acd08e
SHA256: 82e96f9a53446f7dcb18e083708f124acc0c3d740d1b97e867539b3a64c84ed8
SHA512: dbf88d1f3ed674897cc82ad2236b2efc56bbfdacd1e155a4dd516d5bfff26cd53bb0130d86e1dc62bd68166e25171491b8a78551840abcd20bc0ea4754363309
Homepage: https://cran.r-project.org/package=texteffect
Description: CRAN Package 'texteffect' (Discovering Latent Treatments in Text Corpora and EstimatingTheir Causal Effects)
 Implements the approach described in Fong and Grimmer (2016)
 <https://aclweb.org/anthology/P/P16/P16-1151.pdf> for automatically
 discovering latent treatments from a corpus and estimating the average
 marginal component effect (AMCE) of each treatment.  The data is divided
 into a training and test set.  The supervised Indian Buffet Process (sibp)
 is used to discover latent treatments in the training set.  The fitted model
 is then applied to the test set to infer the values of the latent treatments
 in the test set.  Finally, Y is regressed on the latent treatments in the
 test set to estimate the causal effect of each treatment.

Package: r-cran-texter
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-plyr, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-purrr, r-cran-stopwords, r-cran-textdata, r-cran-tidytext, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-texter_0.1.9-1.ca2004.1_all.deb
Size: 152700
MD5sum: 5b680f1c4d6d7b2f369181d8484a47a0
SHA1: c92abe0f927acbefd681c8f9305a3cae1a6f02d1
SHA256: cda418f02924f01d771d555059b4b67b67ee95357bb86b0a59571223349ddb6b
SHA512: 1a3a7f811caea5f97f141827ff88fe764eb40d885efd86296dd955776abba3c8f5b8027b67d6eba71673ee1211e08871a0e298ebbc37b5dcfbe6ab147c59140b
Homepage: https://cran.r-project.org/package=texter
Description: CRAN Package 'texter' (An Easy Text and Sentiment Analysis Library)
 Implement text and sentiment analysis with 'texter'.  Generate sentiment
 scores on text data and also visualize sentiments.  'texter' allows you to
 quickly generate insights on your data.  It includes support for lexicons
 such as 'NRC' and 'Bing'.

Package: r-cran-textfeatures
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1436
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-text2vec, r-cran-tfse, r-cran-tibble, r-cran-tokenizers
Suggests: r-cran-knitr, r-cran-roxygen2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-textfeatures_0.3.3-1.ca2004.1_all.deb
Size: 1430648
MD5sum: 331f5b60bc196b6d8b968b821a4f5709
SHA1: a97c43b1897c30d9c04c6d8ece362ce66d9cc97d
SHA256: 6380f51745bfd6fa2ea70a7baaaddcda8447b6075f707ee27820043ae2c8fbef
SHA512: c55f4eaa44c4d2bc45da90f073cbfe6f26b36cdd2b430cb4217b770088661563e7ef8d2bf202a5ae2a2859851ce6dcde6923cdb7e6b23007a217f45f68c875ad
Homepage: https://cran.r-project.org/package=textfeatures
Description: CRAN Package 'textfeatures' (Extracts Features from Text)
 A tool for extracting some generic features (e.g., number of words, line
 breaks, characters per word, URLs, lower case, upper case, commas, periods,
 exclamation points, etc.) from strings of text.

Package: r-cran-textforecast
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-tidyr, r-cran-tidytext, r-cran-tm, r-cran-wordcloud, r-cran-dplyr, r-cran-plyr, r-cran-udpipe, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-glmnet, r-cran-pdftools, r-cran-doparallel, r-cran-pracma, r-cran-forcats, r-cran-matrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-textforecast_0.1.3-1.ca2004.1_all.deb
Size: 451112
MD5sum: 9ba6e79190992549783cf47941673133
SHA1: 348e5002138d5323f2d2e52f8016850f9d4bddfa
SHA256: d385dcb03f91a675ea5bde3a64913145d9b0ac903ddc23f56bf64bf98a1225c9
SHA512: dc6703380af3bfdc24edeed948cee8d49bbc2bf361795d90d41e18aa7e500142673227f88afabcdc005debc78f6c13b39a87eb7693863d1cca1f82092a831cb9
Homepage: https://cran.r-project.org/package=TextForecast
Description: CRAN Package 'TextForecast' (Regression Analysis and Forecasting Using Textual Data from aTime-Varying Dictionary)
 Provides functionalities based on the paper "Time Varying Dictionary and the
 Predictive Power of FED Minutes" (Lima, 2018) <doi:10.2139/ssrn.3312483>. It
 selects the most predictive terms, that we call time-varying dictionary
 using supervised machine learning techniques as lasso and elastic net.

Package: r-cran-textgrid
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textgrid_1.0.1-1.ca2004.1_all.deb
Size: 57020
MD5sum: 1dc6281202ae0dd09408314bce7c67c4
SHA1: 984a2b38dccfacf13140642d1b254bf7d694e298
SHA256: 123aec634621ed46ed85e2ec5f4f8646a7a82526550d952d46026ce2907e2f90
SHA512: 836bbfa1622d2d4a0fba5c7b01edcac075815fa456259591e889aa61f2f2398fb738e51f17aecd014f1fb07050f993d65205f4dc9ea80fc3991b33825b5148a0
Homepage: https://cran.r-project.org/package=textgRid
Description: CRAN Package 'textgRid' (Praat TextGrid Objects in R)
 The software application Praat can be used to annotate waveform data (e.g.,
 to mark intervals of interest or to label events).  (See
 <http://www.fon.hum.uva.nl/praat/> for more information about Praat.)  These
 annotations are stored in a Praat TextGrid object, which consists of a
 number of interval tiers and point tiers. An interval tier consists of
 sequential (i.e., not overlapping) labeled intervals. A point tier consists
 of labeled events that have no duration. The 'textgRid' package provides S4
 classes, generics, and methods for accessing information that is stored in
 Praat TextGrid objects.

Package: r-cran-textile
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5805
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-textile_0.1.4-1.ca2004.1_all.deb
Size: 5913132
MD5sum: dd862b600e54f70174ed87750204f438
SHA1: 90fdec3d5ce32397c6e481b0e6ad91c79c20b5c8
SHA256: be9a2e03e1912244c30710cc6283939f1169caf1e00c0590a01ebfeaf977a51f
SHA512: 55153084373a903946782d51dd53d13a5b6f35e63ea39c9fb27c1c40595165d7cfc5e9ca3b3bb0ab45652fc41dad5da7bfa1f328cb767cf4bf44f54b00a4ceae
Homepage: https://cran.r-project.org/package=textile
Description: CRAN Package 'textile' (Textile Images)
 Contains real images of the same textile material with/without local
 defects, which were used in Bui and Apley (2018)
 <doi:10.1080/00401706.2017.1302362>.

Package: r-cran-textir
Architecture: all
Version: 2.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-distrom, r-cran-gamlr, r-cran-matrix
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-textir_2.0-5-1.ca2004.1_all.deb
Size: 249420
MD5sum: 098db4336a6417595bf74f0ebacb4e6e
SHA1: 9a80a22ed42988dbdbb8a47753c6461b39d32ec1
SHA256: 2367af74f0f72c2e51f5858df5db9576154eef02004ddf403fea09924c15ebac
SHA512: a406bb8b6271a12adbeea510500d664b54eb74e7c448e00a8f81b044ee4a06e2d1d2819201843db325cd3e733482347dcce21031f3b2ac61fef18e00c54d2215
Homepage: https://cran.r-project.org/package=textir
Description: CRAN Package 'textir' (Inverse Regression for Text Analysis)
 Multinomial (inverse) regression inference for text documents and associated
 attributes.  For details see: Taddy (2013 JASA) Multinomial Inverse
 Regression for Text Analysis <arXiv:1012.2098> and Taddy (2015, AoAS),
 Distributed Multinomial Regression, <arXiv:1311.6139>. A minimalist partial
 least squares routine is also included.  Note that the topic modeling
 capability of earlier 'textir' is now a separate package, 'maptpx'.

Package: r-cran-textmininggui
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1007
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-syuzhet, r-cran-dplyr, r-cran-tidyr, r-cran-tidytext, r-cran-tibble, r-cran-tm, r-cran-slam, r-cran-ggplot2, r-cran-ggwordcloud, r-cran-rcolorbrewer
Suggests: r-cran-tkrplot, r-cran-snowballc, r-cran-readxl, r-cran-jsonlite, r-cran-ggrepel, r-cran-ggpubr, r-cran-igraph, r-cran-ggraph, r-cran-ape, r-cran-topicmodels, r-cran-ca, r-cran-corrr, r-cran-data.table, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-textmininggui_0.3-1.ca2004.1_all.deb
Size: 882824
MD5sum: fa01363e6649c5468b7f64c02f77d03d
SHA1: 72aacdf71ea58954bdc082e68b44e22b7f74f507
SHA256: f28844de850974699d3ee541191cfbc4d24d5ff2c8b12370c8022e15785e951f
SHA512: cec12c13612e46d38fc5d3f0ffa01c09aebe0657edcd5b32dd6d90facba42f1e54e4367cc6eca340b5accae890107df0e35427b94ebcd0930516ce8147eff3ac
Homepage: https://cran.r-project.org/package=TextMiningGUI
Description: CRAN Package 'TextMiningGUI' (Text Mining GUI Interface)
 Graphic interface for text analysis, implement a few methods such as
 biplots, correspondence analysis, co-occurrence, clustering, topic models,
 correlations and sentiments.

Package: r-cran-textometry
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-textometry_0.1.6-1.ca2004.1_all.deb
Size: 50072
MD5sum: f043debe6d0d139469bf82fd6de48b08
SHA1: 9293d0d42c066afbc003b0f0fcaad68b495bfe5c
SHA256: 4c9ba34be80a026ee708ed6823f2f03cfcf7192d8e78a80f68f2c1cc4f76150b
SHA512: a64e0dc2fef6ae7bdf561210ba826546dcc63391450e1734dacb22b7bd2b317209e68dd4dfa27a437bd781967a8f5de4be511162385ce15fc9e160c8a5068834
Homepage: https://cran.r-project.org/package=textometry
Description: CRAN Package 'textometry' (Textual Data Analysis Package Used by the TXM Software)
 Statistical exploration of textual corpora using several methods from French
 'Textometrie' (new name of 'Lexicometrie') and French 'Data Analysis'
 schools.  It includes methods for exploring irregularity of distribution of
 lexicon features across text sets or parts of texts (Specificity analysis);
 multi-dimensional exploration (Factorial analysis), etc.  Those methods are
 used in the TXM software.

Package: r-cran-textplot
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 693
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-matrix, r-cran-data.table
Suggests: r-cran-knitr, r-cran-udpipe, r-cran-btm, r-cran-igraph, r-bioc-graph, r-bioc-rgraphviz, r-cran-qgraph, r-cran-glasso, r-cran-ggplot2, r-cran-ggraph, r-cran-ggforce, r-cran-concaveman, r-cran-ggrepel, r-cran-ggalt, r-cran-uwot
Filename: pool/dists/focal/main/r-cran-textplot_0.2.2-1.ca2004.1_all.deb
Size: 604268
MD5sum: 0a5158d97015ec7670a71d4f2917e4f8
SHA1: 3b932a8725094e350be3f21404ae22b5fce88be6
SHA256: aed4fac561c9a50e8ecedbc6915620e8275cb4bdb43848877659c790eb00258f
SHA512: 1e54e73ee00338a91be0605fbd4ddd5f225aa1198f7a60cd4d549cb5cd50414bf2a64ccdfcfa94370d8b5b3626528c7be75b878b990683312355366bd8d96717
Homepage: https://cran.r-project.org/package=textplot
Description: CRAN Package 'textplot' (Text Plots)
 Visualise complex relations in texts. This is done by providing
 functionalities for displaying text co-occurrence networks, text correlation
 networks, dependency relationships as well as text clustering and semantic
 text 'embeddings'.  Feel free to join the effort of providing interesting
 text visualisations.

Package: r-cran-textpress
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-matrix, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-xml2, r-cran-pbapply, r-cran-jsonlite, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-textpress_1.0.0-1.ca2004.1_all.deb
Size: 96456
MD5sum: 3f2542cd0383483491a34ddf2d0134da
SHA1: 8d01f64985ddaa2424293b85375e7e7eb9b19e29
SHA256: 89c5448a8e3cd1037b130c47a8e3f97afe1d510e414fe2648a2a7a1b9a0ab31f
SHA512: 784dbb736ace430cb9933d451e11708e114394c985865331960b5acd2cbb03f53cd7af7a1c3f24d7a9dc58548e026e2fc6af4e2d4e9907504ac556fa2eecba89
Homepage: https://cran.r-project.org/package=textpress
Description: CRAN Package 'textpress' (A Lightweight and Versatile NLP Toolkit)
 A simple Natural Language Processing (NLP) toolkit focused on search-centric
 workflows with minimal dependencies. The package offers key features for web
 scraping, text processing, corpus search, and text embedding generation via
 the 'HuggingFace API' <https://huggingface.co/docs/api-inference/index>.

Package: r-cran-textrank
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 992
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-digest
Suggests: r-cran-textreuse, r-cran-knitr, r-cran-rmarkdown, r-cran-udpipe
Filename: pool/dists/focal/main/r-cran-textrank_0.3.1-1.ca2004.1_all.deb
Size: 305480
MD5sum: d20febef6ac298c2a1d8436c59a9154a
SHA1: 70b1d8b748e04355765aa93afbbafc4d560f2499
SHA256: fb161b2b3c32650c8e5c8d9cf177404c8524525d3d84931c5178bea82746fca8
SHA512: 2721152ab636ad9cc8c476477fc0162fe9dec123e744cbe87b5565ebb6e6dbb9ce7170fabb4a90104712da37441c230f3a6365a07e107479b212a45d50322965
Homepage: https://cran.r-project.org/package=textrank
Description: CRAN Package 'textrank' (Summarize Text by Ranking Sentences and Finding Keywords)
 The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for
 text. The algorithm allows to summarize text by calculating how sentences
 are related to one another. This is done by looking at overlapping
 terminology used in sentences in order to set up links between sentences.
 The resulting sentence network is next plugged into the 'Pagerank' algorithm
 which identifies the most important sentences in your text and ranks them.
 In a similar way 'textrank' can also be used to extract keywords. A word
 network is constructed by looking if words are following one another. On top
 of that network the 'Pagerank' algorithm is applied to extract relevant
 words after which relevant words which are following one another are
 combined to get keywords.  More information can be found in the paper from
 Mihalcea, Rada & Tarau, Paul (2004)
 <https://www.aclweb.org/anthology/W04-3252/>.

Package: r-cran-textrar
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-textrar_0.8.0-1.ca2004.1_all.deb
Size: 20448
MD5sum: 181b643a11b0f4968e4618c6ed4e667c
SHA1: 5d193b393ce733c10606d11d66bf63f6c6d57c2c
SHA256: 08834e7d42bc8678d37d487f93aba9d90697d855aba0430a246bbe2101e6144e
SHA512: c46199ae462ca3db1723175ac6ba8e65e2219ae2182383fa359e452b59fade4e9bdc2613ec73a6ab0230c8265bda2085035740fc02b6de67f49447cf45de3c3a
Homepage: https://cran.r-project.org/package=textrar
Description: CRAN Package 'textrar' (Interface to 'TexTra' from R)
 A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>,
 a web service for translating texts between different languages.  'TexTra'
 API account is required to use the service.

Package: r-cran-textreadr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-antiword, r-cran-curl, r-cran-data.table, r-cran-pdftools, r-cran-readxl, r-cran-rvest, r-cran-striprtf, r-cran-textshape, r-cran-xml2
Suggests: r-cran-tesseract, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textreadr_1.2.0-1.ca2004.1_all.deb
Size: 1254760
MD5sum: 9f3893018c2594b4eec12043010b43c7
SHA1: 65d782702ad8ce9f459d7eb33ef44ae4a874b581
SHA256: 9ed3dbe3926bd0702792c8ceaaadc6349b9ca7f193a5bb26e1f42fe16c690ac3
SHA512: 113e2fe92ed3a1682363d20b3e74d300b76291121175f9790f505be6a82f992b40cef04db6549d8a59f481e01816084d0e42d8585085cd1ddfd5869583ce150a
Homepage: https://cran.r-project.org/package=textreadr
Description: CRAN Package 'textreadr' (Read Text Documents into R)
 A small collection of convenience tools for reading text documents into R.

Package: r-cran-textshape
Architecture: all
Version: 1.7.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-slam, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textshape_1.7.5-1.ca2004.1_all.deb
Size: 516244
MD5sum: e97d0ef8832763ec1cd73cc7c20f5d33
SHA1: c92b6e2dbc2f804bf473137d68ea4fc27361c79f
SHA256: 88f34624e3dadb6a047015da68bf530f398214736779de35b05e71d226229fc7
SHA512: 7a0373e5115796a5a5aa785b81851e52990287d084e29b3ce16acc091d325eadc1f21e7811975fa1c7421da28fc26f3ebad7b574312c70a64e5b33b5b23042e7
Homepage: https://cran.r-project.org/package=textshape
Description: CRAN Package 'textshape' (Tools for Reshaping Text)
 Tools that can be used to reshape and restructure text data.

Package: r-cran-textstem
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-korpus.lang.en, r-cran-dplyr, r-cran-hunspell, r-cran-korpus, r-cran-lexicon, r-cran-quanteda, r-cran-snowballc, r-cran-stringi, r-cran-textclean, r-cran-textshape
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-textstem_0.1.4-1.ca2004.1_all.deb
Size: 127540
MD5sum: 8971694ec331e8a8fc4135ccaf15e091
SHA1: 5e4130516da67b46afc8fe960de51a939c1f2abf
SHA256: 6e478137ef1f8dd20fd0400b34d2e59412c758dd552e8e884329d08778be728d
SHA512: cdc7f432f03de22ea8872317ac865ff2c03906a37c9397344dc3947f8eed34fbd07f3ed145a12646cf258bf709a1c03c0b73f66f57241388d7d75fa435b2d0c2
Homepage: https://cran.r-project.org/package=textstem
Description: CRAN Package 'textstem' (Tools for Stemming and Lemmatizing Text)
 Tools that stem and lemmatize text.  Stemming is a process that removes
 endings such as affixes.  Lemmatization is the process of grouping inflected
 forms together as a single base form.

Package: r-cran-texttools
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2074
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-texttools_0.1.0-1.ca2004.1_all.deb
Size: 2080768
MD5sum: 2dc614886598d3e75ece60789f74cb2a
SHA1: 4a82ea5faea94338093f242847403610bd3ddf1a
SHA256: 92286773a4b9eedad58dfb80f2157a5b43179ffb196547373837f9b5d1640198
SHA512: c13b7c482d94aee972c44c79b4883fa7e2c0905a918b2e1623173e475b3fc8d6eac91ef8ee5a0d40fc05126432aae8f2fc14730b13e5c9018cfc578e9baa8c20
Homepage: https://cran.r-project.org/package=textTools
Description: CRAN Package 'textTools' (Functions for Text Cleansing and Text Analysis)
 A framework for text cleansing and analysis. Conveniently prepare and
 process large amounts of text for analysis.  Includes various metrics for
 word counts/frequencies that scale efficiently. Quickly analyze large
 amounts of text data using a text.table (a data.table created with one word
 (or unit of text analysis) per row, similar to the tidytext format).  Offers
 flexibility to efficiently work with text data stored in vectors as well as
 text data formatted as a text.table.

Package: r-cran-textutils
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-textutils_0.4-2-1.ca2004.1_all.deb
Size: 216332
MD5sum: 81eed85f7bbe971265ff6ab387a7c27f
SHA1: f55ff36d72b939abe01c8e72c8863c28b7243707
SHA256: 33096dffd6cc4736eadddbd951f81497d62ab5342622d364b43816ff6940ea33
SHA512: 3daf840da95440f98a86011e6e972084d887a481daa575db2737c907d93c3c9297d8360825b655aba2b329ba0c300ce6a12d084c7fe2385f724b5193e7be4579
Homepage: https://cran.r-project.org/package=textutils
Description: CRAN Package 'textutils' (Utilities for Handling Strings and Text)
 Utilities for handling character vectors that store human-readable text
 (either plain or with markup, such as HTML or LaTeX). The package provides,
 in particular, functions that help with the preparation of plain-text
 reports, e.g. for expanding and aligning strings that form the lines of such
 reports. The package also provides generic functions for transforming R
 objects to HTML and to plain text.

Package: r-cran-tf
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 462
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-mgcv, r-cran-mvtnorm, r-cran-pracma, r-cran-purrr, r-cran-rlang, r-cran-vctrs, r-cran-zoo
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-refund, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tf_0.3.4-1.ca2004.1_all.deb
Size: 383816
MD5sum: a4bc7c1af5cb721559fe4fa82e110ad9
SHA1: ff7498ffa07d6bb1eb7d06abb0b11e7b583e5254
SHA256: f89ef32dea2e525ffc35769b8f426b66ed48fd7e6741105c4919e030e2912c1e
SHA512: 9cc45113ec4892953b2c03ab59abbbd28816d7511a4facd2d1709788030eb426a522c76d666ec9fc338c18bde83b41b9fc04695e72400a1b1e38429b8d458499
Homepage: https://cran.r-project.org/package=tf
Description: CRAN Package 'tf' (S3 Classes and Methods for Tidy Functional Data)
 Defines S3 vector data types for vectors of functional data (grid-based,
 spline-based or functional principal components-based) with all arithmetic
 and summary methods, derivation, integration and smoothing, plotting, data
 import and export, and data wrangling, such as re-evaluating, subsetting,
 sub-assigning, zooming into sub-domains, or extracting functional features
 like minima/maxima and their locations.  The implementation allows including
 such vectors in data frames for joint analysis of functional and scalar
 variables.

Package: r-cran-tfactsr
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1127
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-qvalue
Suggests: r-bioc-biocstyle, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tfactsr_0.99.0-1.ca2004.1_all.deb
Size: 426816
MD5sum: 66b4f2cdaa26e6ed109bf385a2667369
SHA1: 57e1f60b2b76554ad2471ae0d861f678ee4eb14a
SHA256: ddce5275421e928e1d3ce982b18cc2f58774905f2b1e20ed17d9f207fb679247
SHA512: ad7e6f5aaba0ab29d9ab4d75bdd1a6df42591b702363f836fd4a040679152a09a0c95673c09dafd5af51054136192161ddc98761c32b5702da8a103cfd788cce
Homepage: https://cran.r-project.org/package=TFactSR
Description: CRAN Package 'TFactSR' (Enrichment Approach to Predict Which Transcription Factors areRegulated)
 R implementation of 'TFactS' to predict which are the transcription factors
 (TFs), regulated in a biological condition based on lists of differentially
 expressed genes (DEGs) obtained from transcriptome experiments. This package
 is based on the 'TFactS' concept by Essaghir et al. (2010)
 <doi:10.1093/nar/gkq149> and expands it. It allows users to perform
 'TFactS'-like enrichment approach. The package can import and use the
 original catalogue file from the 'TFactS' as well as users' defined
 catalogues of interest that are not supported by 'TFactS' (e.g.,
 Arabidopsis).

Package: r-cran-tfaddons
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 479
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-tensorflow, r-cran-rstudioapi, r-cran-keras, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tfaddons_0.10.0-1.ca2004.1_all.deb
Size: 367012
MD5sum: a0153bdbf855bb766aadefd0762f81f0
SHA1: 1e1f7594af79e98f918daf085e50a17eab89e9d8
SHA256: 606369f76b7da40aa1f91480c4cf2fd9698e572a4b07193cfa690d6a5bd6dbc8
SHA512: 7ab55441a18a6f64456872979a03c1c3311dd1e3f2609b48146b683f61aa290bd9f7b740411992c3beafc8d2886a6d4e1b56b181a1374e0eedc8be22af64bae3
Homepage: https://cran.r-project.org/package=tfaddons
Description: CRAN Package 'tfaddons' (Interface to 'TensorFlow SIG Addons')
 'TensorFlow SIG Addons' <https://www.tensorflow.org/addons> is a repository
 of community contributions that conform to well-established API patterns,
 but implement new functionality not available in core 'TensorFlow'.
 'TensorFlow' natively supports a large number of operators, layers, metrics,
 losses, optimizers, and more. However, in a fast moving field like Machine
 Learning, there are many interesting new developments that cannot be
 integrated into core 'TensorFlow' (because their broad applicability is not
 yet clear, or it is mostly used by a smaller subset of the community).

Package: r-cran-tfautograph
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 192
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-backports
Suggests: r-cran-rlang, r-cran-tensorflow, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tfautograph_0.3.2-1.ca2004.1_all.deb
Size: 162124
MD5sum: 0380c4d8a57de5dadd248640758c1bbc
SHA1: ba5a2f99ca7c0c482afe5942e16ecc69cd89d9db
SHA256: c00a38545ad13f183f01036445dafab1239ff55c51aa6e22b94a377bd04559f4
SHA512: e48af2992406320592ed932d8f97c1988c2b6ad82e30641e0645c19f251e76dd1384c7198f74affc2a13c874732a95ccb9ad7090c88ef6bf90ffefa30a269add
Homepage: https://cran.r-project.org/package=tfautograph
Description: CRAN Package 'tfautograph' (Autograph R for 'Tensorflow')
 Translate R control flow expressions into 'Tensorflow' graphs.

Package: r-cran-tfdatasets
Architecture: all
Version: 2.17.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1000
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-tensorflow, r-cran-magrittr, r-cran-rlang, r-cran-tidyselect, r-cran-generics, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-keras3, r-cran-rsample, r-cran-rmarkdown, r-cran-metrics, r-cran-dplyr, r-cran-progress, r-cran-tfestimators
Filename: pool/dists/focal/main/r-cran-tfdatasets_2.17.0-1.ca2004.1_all.deb
Size: 719052
MD5sum: d13f9f24ef8dfd1606dc5b35a356dc87
SHA1: 3dc0ad5414a1ec4bf876d5dd5134f719456d7628
SHA256: 0e8244a2ee96382a9ff70353645fbd48df7391f31ec8cf5d33a0111b320f6bfa
SHA512: 410a5d6ef364fa79a9f7376c69c7b5b24a3640ed567b54ca765c888da6f7e7471fb359364ea4664296e7bf52048111311e0681f2fa41086a401b39161c1e4d95
Homepage: https://cran.r-project.org/package=tfdatasets
Description: CRAN Package 'tfdatasets' (Interface to 'TensorFlow' Datasets)
 Interface to 'TensorFlow' Datasets, a high-level library for building
 complex input pipelines from simple, re-usable pieces.  See
 <https://www.tensorflow.org/guide> for additional details.

Package: r-cran-tfdeploy
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httpuv, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-reticulate, r-cran-swagger, r-cran-tensorflow
Suggests: r-cran-cloudml, r-cran-knitr, r-cran-pixels, r-cran-processx, r-cran-testthat, r-cran-yaml, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-tfdeploy_0.6.1-1.ca2004.1_all.deb
Size: 161212
MD5sum: f31dc2959efc3ad2fcf3369755a07e7e
SHA1: 1a1634ca38974c0c9e0005f4f26a3177b8547f44
SHA256: b3b55f35a7efd91b6f83a675a5bb56b6ec0e2ebf25e475c29ed1e50d9dd9d999
SHA512: 17db682e2d5e8ebe429b0325c8c5da6d91dcf85909a1ffb522c5a01ee72c6018018f76082447e85e6225e08e1c8aaa7e9a687257974f4eab1f42a121e33f8a86
Homepage: https://cran.r-project.org/package=tfdeploy
Description: CRAN Package 'tfdeploy' (Deploy 'TensorFlow' Models)
 Tools to deploy 'TensorFlow' <https://www.tensorflow.org/> models across
 multiple services. Currently, it provides a local server for testing
 'cloudml' compatible services.

Package: r-cran-tfer
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tfer_1.3-1.ca2004.1_all.deb
Size: 34844
MD5sum: 80bf2903965d0712bfb10b4360546465
SHA1: 646309b2b30fe9032a707931ee2c1db7d2680b9f
SHA256: 5bea83225cfe46cf23b71b919d22d1c161d521223eaa5cf6fad7efe9413f57a7
SHA512: 14bf4b425c3d18b4fca0f483e6dd77cb706cbd23891db80a1ff5397f6190f0c62c5846dc391e06a2bb8d5c1ed11dc2c71af878cce24065f6361d922173e50bf6
Homepage: https://cran.r-project.org/package=tfer
Description: CRAN Package 'tfer' (Forensic Glass Transfer Probabilities)
 Statistical interpretation of forensic glass transfer (Simulation of the
 probability distribution of recovered glass fragments).

Package: r-cran-tfestimators
Architecture: all
Version: 1.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forge, r-cran-magrittr, r-cran-progress, r-cran-reticulate, r-cran-rlang, r-cran-tensorflow, r-cran-tfruns, r-cran-tidyselect, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-modelr, r-cran-testthat, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tfestimators_1.9.2-1.ca2004.1_all.deb
Size: 613916
MD5sum: d430d8f84a84bec2fccc8f470a655c0a
SHA1: b4d68d61ea94c5bf1f94fb016cd51cca6cd3a614
SHA256: 19dda835c68b3849499ee053e193612d269d0c2c3365a760f5c00d3b3811365b
SHA512: 1f541605abc12f10d21cf9daae130dda06c632cb756b7718ce04aa4bcdb7bf0ba38f3ca88852e306064d68c30588cd39a0cc63ce056ee65376065df6578618b3
Homepage: https://cran.r-project.org/package=tfestimators
Description: CRAN Package 'tfestimators' (Interface to 'TensorFlow' Estimators)
 Interface to 'TensorFlow' Estimators
 <https://www.tensorflow.org/guide/estimator>, a high-level API that provides
 implementations of many different model types including linear models and
 deep neural networks.

Package: r-cran-tfhub
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-tensorflow, r-cran-magrittr, r-cran-rstudioapi, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-knitr, r-cran-tfestimators, r-cran-keras, r-cran-rmarkdown, r-cran-callr, r-cran-recipes, r-cran-tibble, r-cran-abind, r-cran-fs
Filename: pool/dists/focal/main/r-cran-tfhub_0.8.1-1.ca2004.1_all.deb
Size: 677580
MD5sum: 44b7cfb5c28a0029fe59ce4530bf7d80
SHA1: 142b7c79d08392d89c8830f62a727e2bbae357f7
SHA256: 37efc5299a7df83932364c30c8571b0fb5670c6827ae543fcb2d02372431739f
SHA512: 934480548ffcccd47a9f3b5db21bb4019598c51258f3f9caa494abed0afa91f2047963fc43c7f415a444eaffc3fff8973aba27c59ae33c1cc121a2fc7dbed56d
Homepage: https://cran.r-project.org/package=tfhub
Description: CRAN Package 'tfhub' (Interface to 'TensorFlow' Hub)
 'TensorFlow' Hub is a library for the publication, discovery, and
 consumption of reusable parts of machine learning models. A module is a
 self-contained piece of a 'TensorFlow' graph, along with its weights and
 assets, that can be reused across different tasks in a process known as
 transfer learning. Transfer learning train a model with a smaller dataset,
 improve generalization, and speed up training.

Package: r-cran-tfio
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reticulate, r-cran-tensorflow, r-cran-tfdatasets, r-cran-forge, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tfio_0.4.1-1.ca2004.1_all.deb
Size: 99388
MD5sum: 1fcaadaa5c7f96228dafccb01980d46e
SHA1: 38839a9eaf450c30b4856edd1c6bd2018209297a
SHA256: 93ad2a42e94ab7f1ccc4adc27278f4be96a1d02e012cbd3f95831d20ebe6aeb4
SHA512: 342ca954eb954cb53125d924bd4a4797575afcb9c7b2f36dca465f60121bc97a43a8c751dc85c5bea5f6f8d1837fcbbd3df14a175626cb714f159157aad95eda
Homepage: https://cran.r-project.org/package=tfio
Description: CRAN Package 'tfio' (Interface to 'TensorFlow IO')
 Interface to 'TensorFlow IO', Datasets and filesystem extensions maintained
 by `TensorFlow SIG-IO`
 <https://github.com/tensorflow/community/blob/master/sigs/io/CHARTER.md>.

Package: r-cran-tfisher
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-mvtnorm, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-tfisher_0.2.0-1.ca2004.1_all.deb
Size: 79372
MD5sum: c562012b1c211db394964d11aff9c0e0
SHA1: e24788dcdc6e297493137dd1eeefc329267df865
SHA256: bed78942eedb25bf3521a5c7ca54752b1d9205821cccc35e9c44cf3974d7c7fa
SHA512: 13d4edc5913266fb75f7612332cfa1cde6b0b7566fa92b855758130a457f6f231aa32c71371e06ca33da5900b7f0a924c99c828dd523519c35efff2367e00eb2
Homepage: https://cran.r-project.org/package=TFisher
Description: CRAN Package 'TFisher' (Optimal Thresholding Fisher's P-Value Combination Method)
 We provide the cumulative distribution function (CDF), quantile, and
 statistical power calculator for a collection of thresholding Fisher's
 p-value combination methods, including Fisher's p-value combination method,
 truncated product method and, in particular, soft-thresholding Fisher's
 p-value combination method which is proven to be optimal in some context of
 signal detection. The p-value calculator for the omnibus version of these
 tests are also included. For reference, please see Hong Zhang and Zheyang
 Wu. "TFisher Tests: Optimal and Adaptive Thresholding for Combining
 p-Values", submitted.

Package: r-cran-tfm
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4416
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-relliptical, r-cran-sopc, r-cran-mass, r-cran-mvtnorm, r-cran-matrixcalc, r-cran-corrplot, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-psych
Filename: pool/dists/focal/main/r-cran-tfm_0.5.2-1.ca2004.1_all.deb
Size: 4471100
MD5sum: 87df8ab6bcef5c6470303666e7f973e8
SHA1: dcf3bccaadc62cdb7521325faf789a651db3d9e2
SHA256: 8197a0acba42fdfec60c24017d014f2e7d815633068a7d8a703f3cbcb8c9dc21
SHA512: 54365f8e143d2c4a4092bfcc7eacb2672204d58db0f4aec2ceb83b2967a94ca27ab7d471c5c983389077e406af44f2e491ad4a29dbee494ef2ebb214ce027538
Homepage: https://cran.r-project.org/package=TFM
Description: CRAN Package 'TFM' (Sparse Online Principal Component for Truncated Factor Model)
 The Truncated Factor Model is a statistical model designed to handle
 specific data structures in data analysis. This R package focuses on the
 Sparse Online Principal Component Estimation method, which is used to
 calculate data such as the loading matrix and specific variance matrix for
 truncated data, thereby better explaining the relationship between common
 factors and original variables. Additionally, the R package also provides
 other equations for comparison with the Sparse Online Principal Component
 Estimation method.The philosophy of the package is described in thesis.
 (2023) <doi:10.1007/s00180-022-01270-z>.

Package: r-cran-tfneuralode
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 415
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tensorflow, r-cran-keras, r-cran-reticulate, r-cran-desolve
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tfneuralode_0.1.0-1.ca2004.1_all.deb
Size: 251564
MD5sum: a5e275a54b4e07c8793b4bcfb5a48413
SHA1: 9bb67d43324c825abe0ea275f50e19b79e2114a6
SHA256: b76b68bdcfb1d80cf3b16bd4de1fb2b4029d290f891f274e8f76e6616a21bd00
SHA512: 08f918da75fa5cb4429ef673c80a04cdfb7653c277ac08a5cc954c20bbaa55854c5a51406840603ab53fd9389c58de411d846cb46b2b5c5c03c77a414c016c58
Homepage: https://cran.r-project.org/package=tfNeuralODE
Description: CRAN Package 'tfNeuralODE' (Create Neural Ordinary Differential Equations with 'tensorflow')
 Provides a framework for the creation and use of Neural ordinary
 differential equations with the 'tensorflow' and 'keras' packages.  The idea
 of Neural ordinary differential equations comes from Chen et al. (2018)
 <doi:10.48550/arXiv.1806.07366>, and presents a novel way of learning and
 solving differential systems.

Package: r-cran-tfplot
Architecture: all
Version: 2021.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 360
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tframe
Suggests: r-cran-googlevis
Filename: pool/dists/focal/main/r-cran-tfplot_2021.6-1-1.ca2004.1_all.deb
Size: 250884
MD5sum: 74059fc5c0830f4b0a853b413d21bd79
SHA1: 63efef5930df6fc842752f449d603c0560d544ca
SHA256: fd52cb8938de062f051503ebef19816855c1744bd22632601ce6a2aec4167e05
SHA512: db666e5b34f69218ca5c4e4e3c66a60769d550a0d2414f3a3f55ced4fdfea898fc3d3c4fa80ae389200787ee979f365f150324dd50db5fa6730511649c4db4e2
Homepage: https://cran.r-project.org/package=tfplot
Description: CRAN Package 'tfplot' (Time Frame User Utilities)
 Utilities for simple manipulation and quick plotting of time series data.
 These utilities use the 'tframe' package which provides a programming kernel
 for time series. Extensions to 'tframe' provided in 'tframePlus' can also be
 used. See the Guide vignette for examples.

Package: r-cran-tfprobability
Architecture: all
Version: 0.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2394
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tensorflow, r-cran-reticulate, r-cran-keras, r-cran-magrittr
Suggests: r-cran-tfdatasets, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tfprobability_0.15.1-1.ca2004.1_all.deb
Size: 2043060
MD5sum: 7f6b6d68d81385e7f48f98e31cb14be6
SHA1: b59552753b79de2c52ccef22636a31196cc2543b
SHA256: 8f5644b8d814c7b483e932e94771d9f9df4f48a0fcd11e7d55f25e65b0e11a92
SHA512: fca3742de23235e4c5977d98e34bc3b99fe89c4781e7218f6f08dc462f8c651e600eca3755a9cb829c6311aff8b47e268afb3dff067b8993a6d564626225cf96
Homepage: https://cran.r-project.org/package=tfprobability
Description: CRAN Package 'tfprobability' (Interface to 'TensorFlow Probability')
 Interface to 'TensorFlow Probability', a 'Python' library built on
 'TensorFlow' that makes it easy to combine probabilistic models and deep
 learning on modern hardware ('TPU', 'GPU').  'TensorFlow Probability'
 includes a wide selection of probability distributions and bijectors,
 probabilistic layers, variational inference, Markov chain Monte Carlo, and
 optimizers such as Nelder-Mead, BFGS, and SGLD.

Package: r-cran-tframe
Architecture: all
Version: 2015.12-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tframe_2015.12-1.1-1.ca2004.1_all.deb
Size: 198024
MD5sum: dbd86c796630ba4e6f6fa80c3ed3cf74
SHA1: 7a93be42302e43de8fd1fc600da7c435599558b2
SHA256: 7322694eb54ede879ebd7b0c68e1c367435877704b397434d07cd4a472cc2e3a
SHA512: cc86acabd1088d465e53d28b44673de5b29e74a3b115df3ced5d37eaa4502a7270b4ed842cb19b9fae53ed991461a554a91544dc87922a2a5ddd3c7785ac6c1a
Homepage: https://cran.r-project.org/package=tframe
Description: CRAN Package 'tframe' (Time Frame Coding Kernel)
 A kernel of functions for programming time series methods in a way that is
 relatively independently of the representation of time. Also provides
 plotting, time windowing, and some other utility functions which are
 specifically intended for time series.  See the Guide distributed as a
 vignette, or ?tframe.Intro for more details. (User utilities are in package
 tfplot.)

Package: r-cran-tframeplus
Architecture: all
Version: 2024.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tframe, r-cran-timeseries
Suggests: r-cran-tfplot, r-cran-zoo, r-cran-xts, r-cran-tis, r-cran-writexls
Filename: pool/dists/focal/main/r-cran-tframeplus_2024.2-1-1.ca2004.1_all.deb
Size: 108640
MD5sum: 82660304a2b42cc46a60f08f5e71e162
SHA1: 9f1c1be210bc285c753cc60687b24a88df41362c
SHA256: 1b06250e6f94b1cce4e64c038897961bd789afd78d1ab2c41f8fb8cfb99ab1dc
SHA512: d5dbc880861203bb9654c68588f447c2585d18fe1dc681bc3761392222248077dccf65e3eab72f3cff71b4b3a909c463cd2491bddad1ea584a41fc0204b87901
Homepage: https://cran.r-project.org/package=tframePlus
Description: CRAN Package 'tframePlus' (Time Frame Coding Kernel Extensions)
 Extensions and additional 'tframe' utilities.

Package: r-cran-tfrmt
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 493
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-stringi, r-cran-tidyr, r-cran-gt, r-cran-tidyselect, r-cran-forcats, r-cran-tibble, r-cran-ggplot2, r-cran-jsonlite, r-cran-glue
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork, r-cran-survival, r-cran-ggfortify
Filename: pool/dists/focal/main/r-cran-tfrmt_0.1.3-1.ca2004.1_all.deb
Size: 415396
MD5sum: f5f29290e7813763fa6ba3e30ccbb76a
SHA1: f394877364b1adeb81fc1bf3fa67fd9ef3990500
SHA256: 5807c2a5126f8c3beef148efc3d99cd7fb2a6300a203449536f5e10542072db9
SHA512: 90e19696e4275ee602b3ce6de64841b172a91ddf7b66ed550fdda7bc79c81ec663c6b4467b410b7f1e76340bd00cf25fd0f88d09e061848a7bbd5d251e70cb4b
Homepage: https://cran.r-project.org/package=tfrmt
Description: CRAN Package 'tfrmt' (Applies Display Metadata to Analysis Results Datasets)
 Creates a framework to store and apply display metadata to Analysis Results
 Datasets (ARDs). The use of 'tfrmt' allows users to define table format and
 styling without the data, and later apply the format to the data.

Package: r-cran-tfrmtbuilder
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tfrmt, r-cran-shiny, r-cran-shinyjs, r-cran-dplyr, r-cran-forcats, r-cran-stringr, r-cran-purrr, r-cran-dt, r-cran-gt, r-cran-rlang, r-cran-sortable, r-cran-bslib, r-cran-shinywidgets, r-cran-rio, r-cran-shinycssloaders, r-cran-webshot2, r-cran-shinyace, r-cran-shinyfeedback, r-cran-fontawesome
Suggests: r-cran-here, r-cran-pkgload, r-cran-rprojroot, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tfrmtbuilder_0.1.0-1.ca2004.1_all.deb
Size: 755800
MD5sum: 2255d456b0c75d1168a7a600ed35d741
SHA1: a2e995c18fc88debef71291321a943c2ece190b2
SHA256: 3d8063abb58d17f3134f07b141f046f9c160119380d409dac1e53c4ca0267906
SHA512: 63173d6d22b548cfd803dc19cb8dca9adf6a9c3c72b68817e25c90d0e1563c91c1c5fc4c9db2ec0ee815bd32868f57c62889b9f19eaf42644cb12fa2b482d91e
Homepage: https://cran.r-project.org/package=tfrmtbuilder
Description: CRAN Package 'tfrmtbuilder' ('shiny' App Companion to the 'tfrmt' Package)
 Provides an interactive interface to the 'tfrmt' package. Users can import,
 modify, and export tables and templates with little to no code.

Package: r-cran-tfruns
Architecture: all
Version: 1.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2977
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-base64enc, r-cran-yaml, r-cran-config, r-cran-magrittr, r-cran-whisker, r-cran-tidyselect, r-cran-rlang, r-cran-rstudioapi, r-cran-reticulate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-withr, r-cran-here, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tfruns_1.5.3-1.ca2004.1_all.deb
Size: 1262544
MD5sum: 36deac8df00d1271b220e568b0129501
SHA1: 13475a7c743f36803666ebbc6f2fa7777eebd9c3
SHA256: 1e9a2d421281ae2ebb7e76ca55e6a0dd49d052192da69165e942d89b7afe93f6
SHA512: 817eafd506bc604103ad88b5067997192175c1fd5e4ead00f47c2bfed8a9c39cb89625353e4a4d38a6712ea47105294b7be0832c70495684c3f576f6c248b13a
Homepage: https://cran.r-project.org/package=tfruns
Description: CRAN Package 'tfruns' (Training Run Tools for 'TensorFlow')
 Create and manage unique directories for each 'TensorFlow' training run.
 Provides a unique, time stamped directory for each run along with functions
 to retrieve the directory of the latest run or latest several runs.

Package: r-cran-tfse
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 451
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dapr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tfse_0.5.0-1.ca2004.1_all.deb
Size: 325696
MD5sum: 03e06c1390d06459a0e9a2474fcf3eec
SHA1: b268679565126778b9f6d5e3f1601bb210967b8c
SHA256: eafc2da4228d27a67c57101385df71d685d2497e4ea118a0f85d2c27c731a0b1
SHA512: 86d635b962d8bbd447981e4e764d85f639ad3d2d68c7be2ca0fb5773483573d5f2a67713eb605e5c261126694060d56e3f2b8116f4277eaeeacc53cfee6e0e8c
Homepage: https://cran.r-project.org/package=tfse
Description: CRAN Package 'tfse' (Tools for Script Editing)
 A collection of useful tools for programming and writing-scripts.  Several
 functions are simple wrappers around base R functions that extend their
 functionality while also providing some convenient properties–regular
 expression functions that automatically detect look-ahead and look-behind
 statements, a read-line function that suppresses incomplete-final-line
 warnings and automatically opens and closes connections, a version of
 substrings that starts from the end of strings, etc. Other functions are
 useful for checking whether packages are installed, omitting missing data,
 and showing in-use connections.

Package: r-cran-tfx
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml
Filename: pool/dists/focal/main/r-cran-tfx_0.1.0-1.ca2004.1_all.deb
Size: 42812
MD5sum: 41aadc60898d646b13821d7da57daca4
SHA1: 6cd47b3d6dec6395b1fe5b7a3aa7292c73900fba
SHA256: 49f01950d37b0eaef61d71919cca7ae3a35bb57f2816827a68436e42ab814623
SHA512: 620fab3f78f33a1f146195f479cc5b5db13fc10917ddb3f6bda281907c5df3d1019bcae7cedd57944e3ee0140e2301a9c04bc5844d67b24e58635fbee572960e
Homepage: https://cran.r-project.org/package=TFX
Description: CRAN Package 'TFX' (R API to TrueFX(tm))
 Connects R to TrueFX(tm) for free streaming real-time and historical
 tick-by-tick market data for dealable interbank foreign exchange rates with
 millisecond detail.

Package: r-cran-tgamtheme
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tgamtheme_0.1.0-1.ca2004.1_all.deb
Size: 20852
MD5sum: 8761d7727be9f4d3b25eb06a845fecb5
SHA1: da2887c0c2b88906b285f91760bb281dbf9049c3
SHA256: e3933b142febaaf6b6e51e2dfc7bba5c072c0ca6ea988a12acb636c58cae8756
SHA512: 62157884c0df0ed53593511b13832be9c171735883cc9d12c1e94ffb921bdde011115df89b32b64d8ab55c0af5d7023ae8a555728348255d04d34b00b45a638a
Homepage: https://cran.r-project.org/package=tgamtheme
Description: CRAN Package 'tgamtheme' (Globe and Mail Graphics Theme for 'ggplot2')
 Theme and colour palettes for The Globe and Mail's graphics. Includes colour
 and fill scale functions, colour palette helpers and a Globe-styled
 'ggplot2' theme object.

Package: r-cran-tggd
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gsl
Filename: pool/dists/focal/main/r-cran-tggd_0.1.3-1.ca2004.1_all.deb
Size: 40076
MD5sum: 11e3c78b838a144d8dee723be991ee9b
SHA1: 952b998167e43c05eb75bb9e3786a3dc3104b5d3
SHA256: 16bd4f23018ef725e019c4aedfc4c1f69c2ef35edef367026105dda651a36b8c
SHA512: 9870efc580adc178aa0cc1ad13cc13aeb66be6c4ed7dcbb648cd5bbf55b3b738e92b37dd6efe623f078e0f8f7a302699e8468e686a878efc9d1b0567cce22380
Homepage: https://cran.r-project.org/package=tggd
Description: CRAN Package 'tggd' (The Standard Distribution Functions for the TruncatedGeneralised Gamma Distribution)
 Density, distribution function, quantile function and random generation for
 the Truncated Generalised Gamma Distribution (also in log10(x) and ln(x)
 space).

Package: r-cran-tgml
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-randomforest, r-cran-e1071, r-cran-proc
Filename: pool/dists/focal/main/r-cran-tgml_0.1.0-1.ca2004.1_all.deb
Size: 60564
MD5sum: 1a2c512a789c305a3b91b996c5a8d064
SHA1: 06497d588c6c812362e158333ecffba9117cb9b2
SHA256: 96ed31ff4dd260c3b7ed16f4479a0e0ea607fa0c481e3662b72b6f0fe3a864e8
SHA512: 0e7a8f9dbdca4f2433966f16d6f7c19ea2d1e825c78e5e5f7e4cc081e448f8a848687444fe366fcc5659ce9f23b9132683e2635b5fec0b8c2907a6fd1d2adbe8
Homepage: https://cran.r-project.org/package=tgml
Description: CRAN Package 'tgml' (Treed Guided Machine Learning for Personalized Prediction andPrecision Diagnostics)
 Generalization of the classification and regression tree (CART) model that
 partitions subjects into terminal nodes and tailors machine learning model
 to each terminal node.

Package: r-cran-tgram
Architecture: all
Version: 0.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tgram_0.2-4-1.ca2004.1_all.deb
Size: 41432
MD5sum: 8698b556e68ffd21c674578107f8a401
SHA1: a86b5ddb92100967d254005c8e37959323f00e58
SHA256: b29e7f967413a33edcd3e79f13b368a363a36154b61029b0dd02e50b1bbf5af7
SHA512: ec5d143302833b92ef468d794401227544a5bad1566849e8fe4f4a0eec88081dc455c6ffdc6edec81fd764d5531d711f50b17668cf7f24a12e1af2aff9b668a8
Homepage: https://cran.r-project.org/package=tgram
Description: CRAN Package 'tgram' (Compute and Plot Tracheidograms)
 Functions to compute and plot tracheidograms, as in De Soto et al. (2011)
 <doi:10.1139/x11-045>.

Package: r-cran-tgs
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 518
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-bnstruct, r-cran-ggm, r-cran-foreach, r-cran-doparallel, r-bioc-minet
Suggests: r-cran-r.rsp, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tgs_1.0.1-1.ca2004.1_all.deb
Size: 181740
MD5sum: 3c49e6bc9f55ebbdc38f363c2221a1a3
SHA1: 9db26f938cb0f6073f37965e2392f1833b70c23f
SHA256: 5df0efdbffe4b2f8dbb224a04cc90663bfe8a2d6493d8f9bc9c32b7449313c8f
SHA512: 0cd0621a8b6055290a612c9afe3b716ccb6abb7ff04ed4bf6f47f7d615cbef32441f68c45d44f64aa7b3692d978d4f27b306ceb32df7e9d5eef32da1b985605a
Homepage: https://cran.r-project.org/package=TGS
Description: CRAN Package 'TGS' (Rapid Reconstruction of Time-Varying Gene Regulatory Networks)
 Rapid advancements in high-throughput gene sequencing technologies have
 resulted in genome-scale time-series datasets.  Uncovering the underlying
 temporal sequence of gene regulatory events in the form of time-varying gene
 regulatory networks demands accurate and computationally efficient
 algorithms. Such an algorithm is 'TGS'. It is proposed in Saptarshi Pyne,
 Alok Ranjan Kumar, and Ashish Anand. Rapid reconstruction of time-varying
 gene regulatory networks. IEEE/ACM Transactions on Computational Biology and
 Bioinformatics, 17(1):278{291, Jan-Feb 2020. The TGS algorithm is shown to
 consume only 29 minutes for a microarray dataset with 4028 genes. This
 package provides an implementation of the TGS algorithm and its variants.

Package: r-cran-tgst
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-knitr
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tgst_1.0-1.ca2004.1_all.deb
Size: 115916
MD5sum: 8dc1279e5997a73e7ce9e232bd791646
SHA1: 161a76441f39f5136e7786e83598c8daf39be790
SHA256: b6d398295ac5de4c56ad2c31fe3fdc80a13f9251b9b1fa857f39228faa0f9f7d
SHA512: 73b3783deba8487431e50dd9f4519ea5d131b52b15928fd7c51fe317790afd4ede1ec2db0f02bdd1679cca24186802e87255c76073227327cf9ac89365bf811f
Homepage: https://cran.r-project.org/package=TGST
Description: CRAN Package 'TGST' (Targeted Gold Standard Testing)
 Functions for implementing the targeted gold standard (GS) testing. You
 provide the true disease or treatment failure status and the risk score,
 tell 'TGST' the availability of GS tests and which method to use, and it
 returns the optimal tripartite rules. Please refer to Liu et al. (2013)
 <doi:10.1080/01621459.2013.810149> for more details.

Package: r-cran-tgver
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3464
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plumber, r-cran-callr, r-cran-geojsonsf
Suggests: r-cran-igraph, r-cran-covr, r-cran-curl, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-edgebundle, r-cran-ggplot2, r-cran-maps, r-cran-sf, r-cran-ggraph
Filename: pool/dists/focal/main/r-cran-tgver_0.3.0-1.ca2004.1_all.deb
Size: 2868240
MD5sum: b519c8054c21b6ce31da955347031930
SHA1: 74c582b2995b010306f6b9356a4cfb5a11ada0d9
SHA256: 56f99adffe4af511904c51b45d6a844ff6a601bf56b3cedfe1844e31b9884c4e
SHA512: 91334bcfb485fc26abe350c103cff210f1b791575e13eeae38915b051d11a152fc4b5b2a6e87fe1995d02e9c05aec966f76b6fbc09c0a7a24215fafd7a62f3f1
Homepage: https://cran.r-project.org/package=tgver
Description: CRAN Package 'tgver' (Turing Geovisualization Engine R package)
 Turing Geovisualization Engine R package for geospatial visualization and
 analysis.

Package: r-cran-th.data
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8926
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival, r-cran-mass
Suggests: r-cran-trtf, r-cran-tram, r-cran-rms, r-cran-coin, r-cran-atr, r-cran-multcomp, r-cran-gridextra, r-cran-vcd, r-cran-colorspace, r-cran-lattice, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-th.data_1.1-3-1.ca2004.1_all.deb
Size: 8728652
MD5sum: 9f1568083059dfab89f898120232623c
SHA1: f909c7f8376aa36cecb95e0bcb3367063ba0a74f
SHA256: 9159f28001c4e02fb4f018ad85733566d08bc10078783c00bc4bef67af1fd0c8
SHA512: f1a54676b1651f5b4d6f6cac8eeeb4f4f5cafd9f3403c94ccd42ede9d93e482b26d4a7a973dbb977df43aca5d46fe0aca32cd835879a5eeff5a3e8412725204f
Homepage: https://cran.r-project.org/package=TH.data
Description: CRAN Package 'TH.data' (TH's Data Archive)
 Contains data sets used in other packages Torsten Hothorn maintains.

Package: r-cran-thaipdf
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2872
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fs, r-cran-cli, r-cran-rmarkdown
Suggests: r-cran-testthat, r-cran-bookdown, r-cran-covr, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-thaipdf_0.1.2-1.ca2004.1_all.deb
Size: 2042776
MD5sum: 4af825292efc1b796a916613bdc12a7f
SHA1: edcc9adf90d6585af79101ecefa16a14fbada40d
SHA256: fcf3479bab94df59bdb3d5b984b06301fc8c1aae9f6730690340f03a1defb054
SHA512: 6a5c06d9562d7f85b5361752323220c84cfb602782fde7c351f4c10308bd527b3d8373b4ad885fda4dcdc512997df482846d85210f125c78277038ddb095105f
Homepage: https://cran.r-project.org/package=thaipdf
Description: CRAN Package 'thaipdf' (R Markdown to PDF in Thai Language)
 Provide R Markdown templates and LaTeX preamble which are necessary for
 creating PDF from R Markdown documents in Thai language.

Package: r-cran-thames
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-uniformly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-thames_0.1.1-1.ca2004.1_all.deb
Size: 26448
MD5sum: 2f72de40b704694f8d914e9895ad87bf
SHA1: 6a7bd9f49d1a01188438ed47e682fe2e68daa63e
SHA256: 97cbc0a0af405f97ef2de83e2d73e47401daef6dce4ba1a42ab2345e4108a864
SHA512: 8b7e24155d9ac155d3a50a1189b55de156467d1be6fe1bedea725cb5e72182be759d5ea3a151947066cf6cf91a91338e92f06ad5bba72ebddc2a1b6ee7af67db
Homepage: https://cran.r-project.org/package=thames
Description: CRAN Package 'thames' (Truncated Harmonic Mean Estimator of the Marginal Likelihood)
 Implements the truncated harmonic mean estimator (THAMES) of the reciprocal
 marginal likelihood using posterior samples and unnormalized log posterior
 values via reciprocal importance sampling.  Metodiev, Perrot-Dockès, Ouadah,
 Irons, & Raftery (2023) <arXiv:2305.08952>.

Package: r-cran-thamesmix
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-uniformly, r-cran-sparsediscrim, r-cran-quadprog, r-cran-igraph, r-cran-gor, r-cran-rfast, r-cran-mvtnorm, r-cran-combinat, r-cran-withr
Suggests: r-cran-multimode, r-cran-knitr, r-cran-bayesmix, r-cran-label.switching, r-cran-laplacesdemon, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-thamesmix_0.1.2-1.ca2004.1_all.deb
Size: 92644
MD5sum: caf6fdf1e92daefc87b989fee9c45739
SHA1: ec67e8b53183958d81d2c42b865508332156b3c7
SHA256: a6354cf3be8c6fb8f56f74bd9e85f4343429ec918ffaa5d6127101175988f81b
SHA512: 7c7461346ffb0e551974b8ded173bb0acbcb609f24b519d59f20a0ee0faa8d3f748866ce2524bd6ea2b5276fdc99cd7763ef5d7f9c62df2542e681c01b96038d
Homepage: https://cran.r-project.org/package=thamesmix
Description: CRAN Package 'thamesmix' (Truncated Harmonic Mean Estimator of the Marginal Likelihood forMixtures)
 Implements the truncated harmonic mean estimator (THAMES) of the reciprocal
 marginal likelihood for uni- and multivariate mixture models using posterior
 samples and unnormalized log posterior values via reciprocal importance
 sampling.  Metodiev, Irons, Perrot-Dockès, Latouche & Raftery (2025)
 <doi:10.48550/arXiv.2504.21812>.

Package: r-cran-thankr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-thankr_1.0.0-1.ca2004.1_all.deb
Size: 17184
MD5sum: a320a8aed9a50fe5d3200f1c8be8e871
SHA1: f1930b6adf6425e04802c2083ade5d4820cbb6c2
SHA256: 05eb7d911d014f1f17c2042159e3219527211f844e23f7b2c0407a738d966ba4
SHA512: 34dd16ee6e754d84d2b585f01f431f8529a25c386866c5ecece8d87ee6debd895aab93348f4a9088fbe245e1033ca6320953fa73736e3d6d4b7f2dbca9de637e
Homepage: https://cran.r-project.org/package=thankr
Description: CRAN Package 'thankr' (Find Out Who Maintains the Packages you Use)
 Find out who maintains the packages you use in your current session or in
 your package library and maybe say 'thank you'.

Package: r-cran-thankyoustars
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-thankyoustars_0.2.0-1.ca2004.1_all.deb
Size: 16216
MD5sum: 2d3036369ebdb4df094b15ab919f5f77
SHA1: 37362fcccab864d0614dbe7c6dc04c08fb6e5231
SHA256: 2f5e8730ae8e6261773d78ebaadab63851495249cb346f6091bba43ca6b15bcc
SHA512: 5b92cbce421add250083bcf8e86efedfed26ea987eef1c75e35109eae97a846265ac6ea3931d73991257af77a0b54a00b05d64436d5f04dda0268fa6bdff9f72
Homepage: https://cran.r-project.org/package=ThankYouStars
Description: CRAN Package 'ThankYouStars' (Give your Dependencies Stars on GitHub!)
 A tool for starring GitHub repositories.

Package: r-cran-theft
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1700
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-tibble, r-cran-tsibble, r-cran-fabletools, r-cran-tsfeatures, r-cran-feasts, r-cran-rcatch22, r-cran-reticulate, r-cran-r.matlab
Suggests: r-cran-lifecycle, r-cran-cachem, r-cran-bslib, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-theft_0.6.3-1.ca2004.1_all.deb
Size: 1411860
MD5sum: 8cd7fa61977f11fbb8cab3fdcdd398cc
SHA1: 60b20ed7afb9bed6c66dfe7579e138acfcfcd031
SHA256: f5f26a1e1d33dfd85cec417d53732477627481176821d62154da034a20913aa4
SHA512: 7533cf09b4970ef52623ca969fd59b765dd63f7cb0b9aae527584123744009413db25df54f0751917de7af0f7ff6f49ff7752e7035de83ca4b851cef203159e9
Homepage: https://cran.r-project.org/package=theft
Description: CRAN Package 'theft' (Tools for Handling Extraction of Features from Time Series)
 Consolidates and calculates different sets of time-series features from
 multiple 'R' and 'Python' packages including 'Rcatch22' Henderson, T. (2021)
 <doi:10.5281/zenodo.5546815>, 'feasts' O'Hara-Wild, M., Hyndman, R., and
 Wang, E. (2021) <https://CRAN.R-project.org/package=feasts>, 'tsfeatures'
 Hyndman, R., Kang, Y., Montero-Manso, P., Talagala, T., Wang, E., Yang, Y.,
 and O'Hara-Wild, M. (2020) <https://CRAN.R-project.org/package=tsfeatures>,
 'tsfresh' Christ, M., Braun, N., Neuffer, J., and Kempa-Liehr A.W. (2018)
 <doi:10.1016/j.neucom.2018.03.067>, 'TSFEL' Barandas, M., et al. (2020)
 <doi:10.1016/j.softx.2020.100456>, and 'Kats' Facebook Infrastructure Data
 Science (2021) <https://facebookresearch.github.io/Kats/>.

Package: r-cran-theftdlc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2027
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-theft, r-cran-rlang, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-purrr, r-cran-reshape2, r-cran-scales, r-cran-broom, r-cran-rtsne, r-cran-e1071, r-cran-janitor, r-cran-umap, r-cran-mass, r-cran-mclust, r-cran-normaliser, r-cran-correctr
Suggests: r-cran-lifecycle, r-cran-cachem, r-cran-bslib, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-pkgdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-theftdlc_0.1.2-1.ca2004.1_all.deb
Size: 1632320
MD5sum: 04d7b460e0591fd890787b34a8a64f7b
SHA1: 4a0d8229522ddf8472c9b4d7b7f05d7ecc1e4b6c
SHA256: 65e119bff0f96eb72626722100206ac16f1bd8f915e603c1744350eab49a221d
SHA512: 98bfef9721bab0529cc09363823297cd80c12bf374b20d166cea34d95497eeeb89458f1e2e6dfdde8ea52a065e7b083373a9a58bcab02057c600a96ac6a7902c
Homepage: https://cran.r-project.org/package=theftdlc
Description: CRAN Package 'theftdlc' (Analyse and Interpret Time Series Features)
 Provides a suite of functions for analysing, interpreting, and visualising
 time-series features calculated from different feature sets from the 'theft'
 package.  Implements statistical learning methodologies described in
 Henderson, T., Bryant, A., and Fulcher, B. (2023)
 <doi:10.48550/arXiv.2303.17809>.

Package: r-cran-theiar
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-askpass, r-cran-httr, r-cran-r6, r-cran-raster, r-cran-xml
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gdalcubes
Filename: pool/dists/focal/main/r-cran-theiar_0.4.0-1.ca2004.1_all.deb
Size: 178668
MD5sum: 3266c638c7da3cbd0f3379a8a159612c
SHA1: 0b0e65e68eb043948de6dab2608f30560efb794a
SHA256: f532af8431ce467d23d80755b32d072b621d38ce80bad72d229796e85f7c8314
SHA512: bee7b75527800afd998e201309ab92228a207dcea8060404c5097d1ddeb58e583da8fd03c22cdb21730c5960305ebc6aa44a8aaf09f8e6d7149daa584829967b
Homepage: https://cran.r-project.org/package=theiaR
Description: CRAN Package 'theiaR' (Download and Manage Data from Theia)
 Provides a simple interface to search available data provided by Theia
 (<https://theia.cnes.fr>), download it, and manage it. Data can be
 downloaded based on a search result or from a cart file downloaded from
 Theia website.

Package: r-cran-thematic
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1935
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-farver, r-cran-ggplot2, r-cran-rappdirs, r-cran-rlang, r-cran-rstudioapi, r-cran-scales
Suggests: r-cran-bslib, r-cran-cairo, r-cran-curl, r-cran-gganimate, r-cran-ggiraph, r-cran-htmltools, r-cran-jsonlite, r-cran-knitr, r-cran-lattice, r-cran-ragg, r-cran-rmarkdown, r-cran-shiny, r-cran-showtext, r-cran-svglite, r-cran-sysfonts, r-cran-systemfonts, r-cran-testthat, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-thematic_0.1.7-1.ca2004.1_all.deb
Size: 1830068
MD5sum: c09b2238a6532222b26fd469e9d21221
SHA1: f2e2c0b75a4d16a15a64eaa1fba3f57b9cbce620
SHA256: 17091cb96e126edd29a6728b89cfb8da9c34abe53152dd13bbfa8a7f5e480058
SHA512: 38da2cdf33b2fd7a0a6f5163435c2fe72d01a7909dcd26a2a2d1a2a44f12983aafdd90b4063799867c3d84227b8992a3d3d31856404da60771674deb88604276
Homepage: https://cran.r-project.org/package=thematic
Description: CRAN Package 'thematic' (Unified and Automatic 'Theming' of 'ggplot2', 'lattice', and'base' R Graphics)
 Theme 'ggplot2', 'lattice', and 'base' graphics based on a few choices,
 including foreground color, background color, accent color, and font family.
 Fonts that aren't available on the system, but are available via download on
 'Google Fonts', can be automatically downloaded, cached, and registered for
 use with the 'showtext' and 'ragg' packages.

Package: r-cran-themis
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 371
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-recipes, r-cran-cli, r-cran-gower, r-cran-lifecycle, r-cran-dplyr, r-cran-generics, r-cran-purrr, r-cran-rann, r-cran-rlang, r-cran-rose, r-cran-tibble, r-cran-withr, r-cran-glue, r-cran-hardhat, r-cran-vctrs
Suggests: r-cran-covr, r-cran-dials, r-cran-ggplot2, r-cran-modeldata, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-themis_1.0.3-1.ca2004.1_all.deb
Size: 281744
MD5sum: 5728f3a146879d0293cece66514bfae9
SHA1: be7c0a31e9c94c3af2724b0287071bf16484e3b5
SHA256: ddcce2e3fb5bf9215859d61a9d7ecc51b424f7367801ac0888cd92e92839a32a
SHA512: 26e1f781afbc57559e52261ee08fdfac5bd2fe569dd63d3c8158bd127373def7b01ffc42e8dae8fb3d5dcb57d3565fd97b2684dcda22003c8cf3927ae1f2e9fc
Homepage: https://cran.r-project.org/package=themis
Description: CRAN Package 'themis' (Extra Recipes Steps for Dealing with Unbalanced Data)
 A dataset with an uneven number of cases in each class is said to be
 unbalanced. Many models produce a subpar performance on unbalanced datasets.
 A dataset can be balanced by increasing the number of minority cases using
 SMOTE 2011 <doi:10.48550/arXiv.1106.1813>, BorderlineSMOTE 2005
 <doi:10.1007/11538059_91> and ADASYN 2008
 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number
 of majority cases using NearMiss 2003
 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link
 removal 1976 <https://ieeexplore.ieee.org/document/4309452>.

Package: r-cran-theopenair
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 691
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-reticulate, r-cran-magrittr, r-cran-tibble, r-cran-stringr, r-cran-stringi, r-cran-data.table, r-cran-httr, r-cran-r.utils, r-cran-xml2, r-cran-cli, r-cran-rstudioapi
Suggests: r-cran-readr, r-cran-jsonlite, r-cran-tidyr, r-cran-dplyr, r-cran-lubridate, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-theopenair_0.1.0-1.ca2004.1_all.deb
Size: 286492
MD5sum: 9a57fee0baad4cab206018408f10d572
SHA1: 617548506dc31d921bc07b001d96fe2049ce7593
SHA256: 54d44d7db7bf09cd326cb1d45349c8ddbc2bde9996b92641a7ec3a3639edd76e
SHA512: 4c063fe3a66e8979d5ddf19d2676531f191100c55e1948346e9dc1055e3a7b36cc2ec0c903ec3a216cbda75569afbdfff8ba9169ca28509f3ab46c718e1ac86c
Homepage: https://cran.r-project.org/package=TheOpenAIR
Description: CRAN Package 'TheOpenAIR' (Integrate 'OpenAI' Large Language Models into Your 'R' Workflows)
 Utilizing the 'OpenAI' API as the back end
 (<https://platform.openai.com/docs/api-reference>), 'TheOpenAIR' offers 'R'
 wrapper functions for the 'ChatGPT' endpoint and several high-level
 functions that enable the integration of 'ChatGPT' capabilities in diverse
 data-related tasks, such as data cleansing and automated analytics script
 generation.

Package: r-cran-theorytools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1544
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-worcs, r-cran-gert, r-cran-gh, r-cran-cli, r-cran-jsonlite, r-cran-curl, r-cran-knitr, r-cran-dagitty, r-cran-yaml, r-cran-tidysem, r-cran-deriv
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-pkgdown, r-cran-webexercises, r-cran-withr, r-cran-usethis, r-cran-fs, r-cran-ggplot2, r-cran-igraph, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-theorytools_0.1.1-1.ca2004.1_all.deb
Size: 656688
MD5sum: 33c4793dccb4a1ad9dac977665b5e18b
SHA1: c5096cde6d8e81f64d34d65398343cdad36402fb
SHA256: 16794d225b951125c9f4e67d37c1422d22e35c847a36f05e17d71dda7de1c52a
SHA512: 38229a1beeb41a70f5b36d9034484fb81733fa5e685995db6d879d4986eb1344ce10418e0b0b496ce2861e68c2f6bbb8d77835bb19ced2bc1151a729880a6355
Homepage: https://cran.r-project.org/package=theorytools
Description: CRAN Package 'theorytools' (FAIR Theory Construction)
 An integrated suite of tools for creating, maintaining, and reusing FAIR
 (Findable, Accessible, Interoperable, Reusable) theories.  Designed to
 support transparent and collaborative theory development, the package
 enables users to formalize theories, track changes with version control,
 assess pre-empirical coherence, and derive testable hypotheses.  Aligning
 with open science principles and workflows, 'theorytools' facilitates the
 systematic improvement of theoretical frameworks and enhances their
 discoverability and usability.

Package: r-cran-thermalsampler
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-mass, r-cran-magrittr, r-cran-ggplot2, r-cran-cowplot, r-cran-envstats, r-cran-sn, r-cran-janitor, r-cran-testthat
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-thermalsampler_0.1.2-1.ca2004.1_all.deb
Size: 263708
MD5sum: 02bb1744efb18abca4cc0d0ecfafcbea
SHA1: f5bd4ec4e239aa77b41f12b6e82fbf9f339cd040
SHA256: 79a09df1a0bf7d90b5e156c4111022de8e8a5ad04814773d2666cd4033607696
SHA512: 778d90d7c1ffe4695454911766b0a2da03eeacf62ce33052aa00ad6f1e7df20573063fe4dceb651b07a7eb309e62e20605054bd606b5d6e77083877d6a2c2965
Homepage: https://cran.r-project.org/package=ThermalSampleR
Description: CRAN Package 'ThermalSampleR' (Calculate Sample Sizes Required for Critical Thermal LimitsExperiments)
 We present a range of simulations to aid researchers in determining
 appropriate sample sizes when performing critical thermal limits studies
 (e.g. CTmin/CTmin experiments). A number of wrapper functions are provided
 for plotting and summarising outputs from these simulations. This package is
 presented in van Steenderen, C.J.M., Sutton, G.F., Owen, C.A., Martin, G.D.,
 and Coetzee, J.A. Sample size assessments for thermal physiology studies: An
 R package and R Shiny application. 2023. Physiological Entomology.
 <doi:10.1111/phen.12416>. The GUI version of this package is available on
 the R Shiny online server at:
 <https://clarkevansteenderen.shinyapps.io/ThermalSampleR_Shiny/> , or it is
 accessible via GitHub at
 <https://github.com/clarkevansteenderen/ThermalSampleR_Shiny/>. We would
 like to thank Grant Duffy (University of Otago, Dundedin, New Zealand) for
 granting us permission to use the source code for the Test of Total
 Equivalency function.

Package: r-cran-thermimage
Architecture: all
Version: 4.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3815
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tiff, r-cran-png
Suggests: r-cran-fields
Filename: pool/dists/focal/main/r-cran-thermimage_4.1.3-1.ca2004.1_all.deb
Size: 2629492
MD5sum: 37a2514a150ff114382d183ce7768def
SHA1: 2adc336837c64ee27425f8d5f2d6ee44fea5d10e
SHA256: 9edd0a91534cdfa1ef006a47da8de5e071cd34f5a4c08b11d1ce5f01694fbdbe
SHA512: a91f4e273d52d70e0b436b2049660b51728929514fb529228224080df0a893a165d8c58a6368c629925ba75e70c75609f34d476dd56bd1b793f2b56bc1ca22c9
Homepage: https://cran.r-project.org/package=Thermimage
Description: CRAN Package 'Thermimage' (Thermal Image Analysis)
 A collection of functions and routines for inputting thermal image video
 files, plotting and converting binary raw data into estimates of
 temperature.  First published 2015-03-26.  Written primarily for research
 purposes in biological applications of thermal images.  v1 included the base
 calculations for converting thermal image binary values to temperatures. v2
 included additional equations for providing heat transfer calculations and
 an import function for thermal image files (v2.2.3 fixed error importing
 thermal image to windows OS). v3. Added numerous functions for converting
 thermal image, videos, rewriting and exporting.  v3.1. Added new functions
 to convert files. v3.2.  Fixed the various functions related to finding
 frame times.  v4.0. fixed an error in atmospheric attenuation constants,
 affecting raw2temp and temp2raw functions.  Recommend update for use with
 long distance calculations. v.4.1.3 changed to frameLocates to reflect
 change to as.character() to format().

Package: r-cran-thermindex
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-thermindex_0.2.0-1.ca2004.1_all.deb
Size: 22212
MD5sum: 2de7138bc827201427db2607882b76b0
SHA1: d94f8ee549d3d6abe651b91d87bf99d6ed881597
SHA256: 60dddc17a5e4536c07562fdcf8bc42a85b547a9085b582b86677636104c3c9f0
SHA512: 36781df81fcf0e68002655d061fecc5f5e4218e575de8b000a5c6aa6973c2e648c4668cea9e9e707e9944327ddbf26003b4313bec6d31a2c3030405ae04f6289
Homepage: https://cran.r-project.org/package=ThermIndex
Description: CRAN Package 'ThermIndex' (Calculate Thermal Indexes)
 Calculates several thermal comfort indexes using temperature, wind speed and
 relative humidity values, calculating indexes such as Humidex, windchill,
 Discomfort Index and others.

Package: r-cran-thermistor
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-thermistor_1.1.0-1.ca2004.1_all.deb
Size: 24456
MD5sum: 61b3c1b6f3d9519c93f9293cecaa5b48
SHA1: effa0f2a26f18856515745d28d66377624bc3805
SHA256: fa5b788732c423da8aab6331da2dc6dcfa6a2c81c83fe87f2535b104596feddb
SHA512: cb096c63c3b80d36642a490e4df887adef00dc0f4c37c8bcf2820b1d31575a117fcdf022138dcc8eb7d1aebb79a0270d807f6401b3e848b7453e1d9e466508c6
Homepage: https://cran.r-project.org/package=Thermistor
Description: CRAN Package 'Thermistor' (The Simulation of the Thermistor Network)
 Given the circuit topology, simulating the Voltage vs. Temperature curve
 with a set of Resistors (R1, R2, R3 and R4) and Thermistors values (TH1 and
 TH2) for a given thermistor network shown in Seth DeLand (2024) "Optimal
 Component Selection Using the Mixed-Integer Genetic Algorithm"
 <https://ww2.mathworks.cn/matlabcentral/fileexchange/35810-optimal-component-selection-using-the-mixed-integer-genetic-algorithm>
 and the application in Mak and Wu (2019)
 <doi:10.1080/00401706.2019.1593246>.

Package: r-cran-thermocouple
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-thermocouple_1.0.2-1.ca2004.1_all.deb
Size: 347536
MD5sum: 24436f240bce13fba8418268816e04ea
SHA1: 367d9a6777897a837638f20e7758c3fc2f4dc9d2
SHA256: 5cb39616866739f7cfe49c6684106192cbf347b7b667061e29c074e0236cd5c1
SHA512: 8de1a16a45475448c312e54b9202a46460316c9086f9fd14f330f92912097ab5b2b811c7c3aaf1878e3d0847be6dfd7c68c149ec1647dc4c899db7cb7a165c10
Homepage: https://cran.r-project.org/package=thermocouple
Description: CRAN Package 'thermocouple' (Temperature Measurement with Thermocouples, RTD and IC Sensors)
 Temperature measurement data, equations and methods for thermocouples, wire
 RTD, thermistors, IC thermometers, bimetallic strips and the ITS-90.

Package: r-cran-thesface
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nnet, r-cran-gridextra, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-ggplot2, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-thesface_0.1.0-1.ca2004.1_all.deb
Size: 42068
MD5sum: 45148102047684062c91b3b31095537e
SHA1: c6a202b03c506b0873d8cb597384e794e0f979a9
SHA256: 3352d147d4b456b4fe94c36e06eb6265f8fe072c7aa2d2950a0a6ee46a001718
SHA512: a847d6ff3d096d15e35bf244d5e0c026ad5a9aaa3aaf223a57a20db45a8d6d18905b87c47a865f09361736b91cd125a46d6390ea54d9f67843b55fbc8b525fc9
Homepage: https://cran.r-project.org/package=TheSFACE
Description: CRAN Package 'TheSFACE' (The Subtype Free Average Causal Effect)
 Estimation of the SF-ACE, a Causal Inference estimand proposed in the paper
 "The Subtype-Free Average Causal Effect For Heterogeneous Disease Etiology"
 (soon on arXiv).

Package: r-cran-thestats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7253
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-thestats_0.1.0-1.ca2004.1_all.deb
Size: 7250152
MD5sum: 746d2646f9062dac44492f8035642a95
SHA1: 00eccb612bad6b3d7fbcbcd8141ecec6d57c8c32
SHA256: fd47330db4a0e21bbe0db1e5f30bc60850400606e54252561a4bb84fc71520ad
SHA512: 48c6f6357df46c0578fec4fa061ae355f22251476a46b5e226a7814383aa516a5de1b394085c2c03f80cdcd0719afde11bc7da1f5dda5e003e0057310ce3ac32
Homepage: https://cran.r-project.org/package=thestats
Description: CRAN Package 'thestats' (R Package for Exploring Turkish Higher Education Statistics)
 A user-friendly R data package that is intended to make Turkish higher
 education statistics more accessible.

Package: r-cran-thewitcher
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 611
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyverse, r-cran-usethis, r-cran-gridextra, r-cran-mass, r-cran-magrittr, r-cran-readr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-thewitcher_1.0.1-1.ca2004.1_all.deb
Size: 322760
MD5sum: 3d60a033a47ddceb5a9512e54df59525
SHA1: a7ef12306691ebda34f02a831acf4293ca0349ed
SHA256: e66c4eb17dc7db03904f15a527fa7b15de17d4c50f377157ff0bbcfc8bdaf45a
SHA512: 631c375250dfbbdfd626033c3754d0d84a07d6c645b56dd0c10ae423a5c99ada6667829c677eaebe70467459b259fc60a51a643740238b3700e97e2ffed63e58
Homepage: https://cran.r-project.org/package=thewitcher
Description: CRAN Package 'thewitcher' (Palettes Inspired by the TV Show "The Witcher")
 Plot your data using color palettes for 'ggplot2' inspired by the TV show,
 book series and video games "The Witcher".

Package: r-cran-thief
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-hts, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-thief_0.3-1.ca2004.1_all.deb
Size: 67012
MD5sum: df6e4fc23c6665a01c9b01f180dafedb
SHA1: aacbe340db22308f1ad5ee0d5a1c23a312a8255a
SHA256: 1dd8c6343a5b2dfb2704b5a48a851ed347a82dd0909466845f4c75bf7d337b0a
SHA512: c65ce1a899b55ec73438cc9a6d65f8ddd53375d7ac77b0f82e5a5915d845c625f964ed603f4b919f741c23ba4a6f80b253d0d23f53a848acffbb1b50d4c5fb0b
Homepage: https://cran.r-project.org/package=thief
Description: CRAN Package 'thief' (Temporal Hierarchical Forecasting)
 Methods and tools for generating forecasts at different temporal frequencies
 using a hierarchical time series approach.

Package: r-cran-thinknum
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-thinknum_1.3.0-1.ca2004.1_all.deb
Size: 11068
MD5sum: 1801aa9e189b4ee6fbf7c2db258fdf65
SHA1: 2f9503bf4fba34874e42a120de921a7bdddd7337
SHA256: 0a1d8e7b0f6c35791abaa3df51d9de4b049a7d8946d8e5425d79eb64bee312ad
SHA512: 79e5a5223f7131ea829aee11cf11e78d71ec7e1898a2824de1a3cd3d7510b9f1dbccaad62bc82f978eb2c53522b2bfa66cb8fe6c5bb930a694e071520b2d425c
Homepage: https://cran.r-project.org/package=Thinknum
Description: CRAN Package 'Thinknum' (Thinknum Data Connection)
 This package interacts directly with the Thinknum API to offer data in a
 number of formats usable in R

Package: r-cran-thinkr
Architecture: all
Version: 0.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 226
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-devtools, r-cran-dplyr, r-cran-ggplot2, r-cran-lazyeval, r-cran-lubridate, r-cran-magrittr, r-cran-officer, r-cran-rvg, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-thinkr_0.16-1.ca2004.1_all.deb
Size: 132876
MD5sum: d586875bc169832ffcc35f888797ebb2
SHA1: b680fb95b8a1b7688423a666e8e037423cc25854
SHA256: 9023ff83b7f68526c1df9d282e7441cb421988108948ea0a0552a21ee465a74e
SHA512: 73976383f846af059ab8dcaa962dbd2a41f71998d43d4c6aeb2eb687a25b37fb3830ba0e02835904e618cadefdcc2804dd9d522ddc070c41eab1f3e8cb7c8566
Homepage: https://cran.r-project.org/package=thinkr
Description: CRAN Package 'thinkr' (Tools for Cleaning Up Messy Files)
 Some tools for cleaning up messy 'Excel' files to be suitable for R. People
 who have been working with 'Excel' for years built more or less complicated
 sheets with names, characters, formats that are not homogeneous. To be able
 to use them in R nowadays, we built a set of functions that will avoid the
 majority of importation problems and keep all the data at best.

Package: r-cran-thomasjeffersonuniv
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-stringi, r-cran-stringdist, r-cran-survival, r-cran-timedate, r-cran-writexl, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-thomasjeffersonuniv_0.1.3-1.ca2004.1_all.deb
Size: 159032
MD5sum: 72aedbf587ea5f7adaabcd21897c001e
SHA1: ed6c37d0dcacf0b4fad8b4fb7d49fd4dc9701410
SHA256: f7cf741256f3a36db2cc5a1d25bae50928dba9b46ea14e2cee6fb30ff7b98192
SHA512: dab06b442ee9c18e6176b2819d2e78a07d85ef4d3dec8ae601118b79fb644bfdef56819a3910e4ea58299fc1a103600002c7b84f645df6d7779328a2f13004bc
Homepage: https://cran.r-project.org/package=ThomasJeffersonUniv
Description: CRAN Package 'ThomasJeffersonUniv' (Handy Tools for TJU/TJUH Employees)
 Functions for admin needs of employees of Thomas Jefferson University and
 Thomas Jefferson University Hospital, Philadelphia, PA.

Package: r-cran-thorn
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Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-shiny, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-thorn_0.2.0-1.ca2004.1_all.deb
Size: 102280
MD5sum: 0615575bab4ddc4ffbbdf3d085202409
SHA1: 20b45afb7d1c48ff907b5d97791e6f184623ea8b
SHA256: fd53560b1916436e776b3ea66f962dba3a4549c79b3068c4fb6cc745c5c2efde
SHA512: a0f41b07d898353e4c00c082b67883914ccf7c32606d9298491dc7789b17ef6931c51776ca693d897262fcb555698f8e7a1693e4a254e8e73e9d38f0f5bb3e8d
Homepage: https://cran.r-project.org/package=thorn
Description: CRAN Package 'thorn' ('HTMLwidgets' Displaying Some 'WebGL' Shaders)
 Creates some 'WebGL' shaders. They can be used as the background of a
 'Shiny' app. They also can be visualized in the 'RStudio' viewer pane or
 included in 'Rmd' documents, but this is pretty useless, besides
 contemplating them.

Package: r-cran-threc
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Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-magic, r-cran-deriv, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-threc_1.0.0-1.ca2004.1_all.deb
Size: 89196
MD5sum: e5871f3854ecdda89d8f7bc28b94ca4e
SHA1: ddd5e204ad42e5589c2092eb59a7fe4a3a383aaa
SHA256: b8e309f38c36a0435e8a95af54db74a4ff857ea71f654b997a7d95c3cc570a44
SHA512: c001609d3d3e58a4570475edf2e23f5a3c143e3cb3bb7cc82bd1d9c41860e7be8e55d5cc4e992cb8893557d6a224a95b0e3045e052cc9c6fff4f4e111b275cba
Homepage: https://cran.r-project.org/package=THREC
Description: CRAN Package 'THREC' (Tree Height Response Calibration for Swedish Forests)
 A tool that allows users to estimate tree height in the long-term forest
 experiments in Sweden. It utilizes the multilevel nonlinear mixed-effect
 height models developed for the forest experiments and consists of four
 functions for the main species, other conifer species, and other
 broadleaves. Each function within the system returns a data frame that
 includes the input data and the estimated heights for any missing values.
 Ogana et al. (2023) <doi:10.1016/j.foreco.2023.120843>\n Arias-Rodil et al.
 (2015) <doi:10.1371/JOURNAL.PONE.0143521>.

Package: r-cran-thredds
Architecture: all
Version: 0.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-rlang, r-cran-magrittr, r-cran-httr, r-cran-xml2
Suggests: r-cran-ncdf4, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-thredds_0.1-4-1.ca2004.1_all.deb
Size: 189756
MD5sum: a40c2ce9245acf8a9187f8e99a369331
SHA1: 71209759127c914a847adc1906e486e34eac1e66
SHA256: 6bd6fad3753c569b8c97fec9a1f09515844fce80cece639f59dde2b4bc9bcfa7
SHA512: c271601fa9af639c4ac6842a2edbee9711656a4de30cd8f55c492c4ddcab1416451a22d3e9f9a6eb888a01012eca35558a3af38353dcb08432234dcaed647fb7
Homepage: https://cran.r-project.org/package=thredds
Description: CRAN Package 'thredds' (Crawler for Navigating THREDDS Catalogs)
 Provides a crawler for programmatically navigating THREDDS Data Server
 (<https://www.unidata.ucar.edu/software/tds/>) catalogs, and access dataset
 metadata and resources.

Package: r-cran-threeboost
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-threeboost_1.1-1.ca2004.1_all.deb
Size: 44804
MD5sum: 7c653b04a405d584e04ba7c18e18c66a
SHA1: aa85a0092f8268317ba5cbd9290b8ca67aac3b53
SHA256: 0ce13b75f14238e739a8bdbdba80136a0a3bac917b8c9c256ef1ac1b384d183f
SHA512: c8b435ac7df6cb72afbd8505f3c03aa77bbc8aa690d28f94055bc3e91360dcb12cc66dc0dbe74f68a83e46962153e6e89ae805494299c6510c6022b1b2ea9ba2
Homepage: https://cran.r-project.org/package=threeboost
Description: CRAN Package 'threeboost' (Thresholded variable selection and prediction based onestimating equations)
 This package implements a thresholded version of the EEBoost algorithm
 described in [Wolfson (2011, JASA)]. EEBoost is a general-purpose method for
 variable selection which can be applied whenever inference would be based on
 an estimating equation. The package currently implements variable selection
 based on the Generalized Estimating Equations, but can also accommodate
 user-provided estimating functions. Thresholded EEBoost is a generalization
 which allows multiple variables to enter the model at each boosting step.

Package: r-cran-threebrain
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6512
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dipsaus, r-cran-xml2, r-cran-servr, r-cran-png, r-cran-knitr, r-cran-shiny, r-cran-digest, r-cran-freesurferformats, r-cran-jsonlite, r-cran-stringr, r-cran-htmlwidgets, r-cran-r6, r-cran-gifti, r-cran-oro.nifti
Suggests: r-cran-rmarkdown, r-cran-dt, r-cran-ravetools, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-threebrain_1.2.0-1.ca2004.1_all.deb
Size: 2514476
MD5sum: 25d4234d5943a13e5d2add0c197a0cdd
SHA1: 90eaf03e28495061b3d34ac550d9d8cb0e8a99d3
SHA256: cf20354c8d0621b004df6514870cec67ec4866888f801edcb11846d5ebe892f7
SHA512: 306b83c42050517ee131e5dfd8d8dcb617c2469cecd54fbbd1559a389ebfc0d51b836a0ff094739a97b9f208ce2bda13f25a71155483c43884d39f06595b8caa
Homepage: https://cran.r-project.org/package=threeBrain
Description: CRAN Package 'threeBrain' (Your Advanced 3D Brain Visualization)
 A fast, interactive cross-platform, and easy to share 'WebGL'-based 3D brain
 viewer that visualizes 'FreeSurfer' and/or 'AFNI/SUMA' surfaces. The viewer
 widget can be either standalone or embedded into 'R-shiny' applications. The
 standalone version only require a web browser with 'WebGL2' support (for
 example, 'Chrome', 'Firefox', 'Safari'), and can be inserted into any
 websites. The 'R-shiny' support allows the 3D viewer to be dynamically
 generated from reactive user inputs. Please check the publication by Wang,
 Magnotti, Zhang, and Beauchamp (2023, <doi:10.1523/ENEURO.0328-23.2023>) for
 electrode localization. This viewer has been fully adopted by 'RAVE'
 <https://openwetware.org/wiki/RAVE>, an interactive toolbox to analyze
 'iEEG' data by Magnotti, Wang, and Beauchamp (2020,
 <doi:10.1016/j.neuroimage.2020.117341>). Please check
 'citation("threeBrain")' for details.

Package: r-cran-threegroups
Architecture: all
Version: 0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-threegroups_0.21-1.ca2004.1_all.deb
Size: 20044
MD5sum: cbe35d1bf43eee2a4fb08d60fdb3f78f
SHA1: d8740385fd3897e7f5162f3d86cd8bcf999ebcd2
SHA256: 4b87c00b036fe4687bad034c0ef3cc3a6cfe4665fd256fc8538264766ed9bc84
SHA512: 772d5c227c0a76f4093959c591885cb6347d4ac3c9e46db9f9a82caf8c933a2653710143c38db6fe69ffa3bb051e3c315df6fece6668b71534cc2ed9d10653c7
Homepage: https://cran.r-project.org/package=ThreeGroups
Description: CRAN Package 'ThreeGroups' (ML Estimator for Baseline-Placebo-Treatment (Three-Group)Experiments)
 Implements the Maximum Likelihood estimator for baseline, placebo, and
 treatment groups (three-group) experiments with non-compliance proposed by
 Gerber, Green, Kaplan, and Kern (2010).

Package: r-cran-threejs
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1470
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-htmlwidgets, r-cran-base64enc, r-cran-crosstalk
Suggests: r-cran-maps
Filename: pool/dists/focal/main/r-cran-threejs_0.3.4-1.ca2004.1_all.deb
Size: 774380
MD5sum: d3da8a385983847bf8daed9a7b6755dc
SHA1: 4354e4072c8c0fa23d642337f536fa895c271636
SHA256: 4bddeca5d463002eb7ff2606874c85bf626774d0ec40b8d4ecb512fc8ec000fa
SHA512: 5c42c5131a7766e5c9a738a44a9fddb7e76c48fb132aa7c129adb4f64c728189c1cc09fc4482642ae449fa9da162c7aed0c6093b18d7c09804ec16ab2c0f602e
Homepage: https://cran.r-project.org/package=threejs
Description: CRAN Package 'threejs' (Interactive 3D Scatter Plots, Networks and Globes)
 Create interactive 3D scatter plots, network plots, and globes using the
 'three.js' visualization library (<https://threejs.org>).

Package: r-cran-threesixtygiving
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1313
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-readxl, r-cran-readr, r-cran-jsonlite, r-cran-purrr, r-cran-janitor, r-cran-tidyr, r-cran-tidyselect, r-cran-anytime, r-cran-tibble, r-cran-curl
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-stringi, r-cran-ggrepel, r-cran-fixerapi
Filename: pool/dists/focal/main/r-cran-threesixtygiving_0.2.2-1.ca2004.1_all.deb
Size: 640368
MD5sum: c0f8ecc49f9d2411da7e4f4e1bf49791
SHA1: 0405b50b8e02cf85d57efd3e43a5999431af1ca0
SHA256: 3ae988306c376e3671d42363bf0f629d538935273f68c45a64d7178d068b3507
SHA512: 52d06e47e751bf9bd129b050da71959699dcd0a8fe1fe38a38944d5a2f1a108a15e6697c6790a8cdad6f7fc3fa1a9c8283003bf881d87f38b7d7093c9cead3a5
Homepage: https://cran.r-project.org/package=threesixtygiving
Description: CRAN Package 'threesixtygiving' (Download Charitable Grants from the '360Giving' Platform)
 Access open data from <https://www.threesixtygiving.org>, a database of
 charitable grant giving in the UK operated by '360Giving'.  The package
 provides functions to search and retrieve data on charitable grant giving,
 and process that data into tidy formats. It relies on the '360Giving' data
 standard, described at <https://standard.threesixtygiving.org/>.

Package: r-cran-threeway
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-threeway_1.1.3-1.ca2004.1_all.deb
Size: 540844
MD5sum: b82f965ef02f5c2ed0b88ab20b9983f9
SHA1: 8293355f118daceaf53d24c4c6180f70c77c0d9a
SHA256: a97d4d702b85d7af11405a226121255b4874c7aa57b049eabe06e619d240e872
SHA512: 12ff4e62d16b6bf0413770a35ac754429d47f40a71001aac27a4bead8bf3db452c1fe6103d3e9b9d67e07ff64981d5a82ced80aa67bfa2ef697f42dabdf42141
Homepage: https://cran.r-project.org/package=ThreeWay
Description: CRAN Package 'ThreeWay' (Three-Way Component Analysis)
 Component analysis for three-way data arrays by means of Candecomp/Parafac,
 Tucker3, Tucker2 and Tucker1 models.

Package: r-cran-threewisemonkeys
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tuner, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-threewisemonkeys_0.1.0-1.ca2004.1_all.deb
Size: 480588
MD5sum: 7585bf1812a9ec5130ca6a1941c16e00
SHA1: 97b04771133db6e2691f86a0b2e75aab1926b57d
SHA256: ce4ae8050b05857aacaa693df4caaaedb35fd6ac4f1f4151d4b0421d42ef07d2
SHA512: 1685df1e623685799ae48013e1bdbfafeec935931fd86be3f830fd47bd31f3d6969ac0c76fbb2b5ad2daeec642a4955bee3c652c7c2132a7087b1eacfe29de9b
Homepage: https://cran.r-project.org/package=ThreeWiseMonkeys
Description: CRAN Package 'ThreeWiseMonkeys' (The Japanese Pictorial Maxim "See No Evil, Hear No Evil, SpeakNo Evil")
 Does nothing useful, but perhaps does that nothing in an entertaining or
 informative fashion.

Package: r-cran-threewords
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-threewords_0.1.0-1.ca2004.1_all.deb
Size: 15804
MD5sum: 299b97c654e78ae9df841e5fe9d33948
SHA1: 5531ecb145ae74bb60606153f5e35f1572651516
SHA256: 9bc2e1828d413e2332d488e07565e7294d1b1b4bdce6e89639f5b46c42b2c6fa
SHA512: 3666a27da58e7e996ba320faa97c419fd0d0dd36401e01d0d13f1243e96c7680eba7ff87cef13b0262c76df2e544b46ac4896b4129191515f49194d50ba18dc6
Homepage: https://cran.r-project.org/package=threewords
Description: CRAN Package 'threewords' (Represent Precise Coordinates in Three Words)
 A connector to the 'What3Words' (http://what3words.com/) service, which
 represents each 3m by 3m square on earth with a unique trio of
 English-language words.

Package: r-cran-threg
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-formula
Filename: pool/dists/focal/main/r-cran-threg_1.0.3-1.ca2004.1_all.deb
Size: 61664
MD5sum: 8e76d417e6deb571d69f08798c94906d
SHA1: caf38189c51eb384f9a491697f42c72bee7e3226
SHA256: 7e9c799baeb3a59438b8e43b0c16164ef8a639a8ec40bb979294566a8f137c14
SHA512: 32cd7c28fe5d7f96a23f94881d3f2058b15f21026e1d6b95d09f883afdec4d950ad0c95fdf4cf2788f7bb6c98ed09dfdf186dae9f1de1adb9c59f470c7631751
Homepage: https://cran.r-project.org/package=threg
Description: CRAN Package 'threg' (Threshold Regression)
 Fit a threshold regression model based on the first-hitting-time of a
 boundary by the sample path of a Wiener diffusion process. The threshold
 regression methodology is well suited to applications involving survival and
 time-to-event data.

Package: r-cran-thregi
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-formula
Filename: pool/dists/focal/main/r-cran-thregi_1.0.4-1.ca2004.1_all.deb
Size: 105408
MD5sum: d9b9bb549d72d350853b4d3b9a8982ce
SHA1: 3850a6b7156019dd18c46c21214d9e4062469b74
SHA256: 8ed92343565bd9ac5f4fe201ab47a8b574c8aa857b184d4d597473665068f5e9
SHA512: efbf0e48c26eea236226478f23d90c1f0a05eb51205c41b54d5ee48a378cfed9d65a7dddf865af02127292b881990c6d416b03f30cf943370fc29ebee8e0138c
Homepage: https://cran.r-project.org/package=thregI
Description: CRAN Package 'thregI' (Threshold Regression for Interval-Censored Data with a Cure RateOption)
 Fit a threshold regression model for Interval Censored Data based on the
 first-hitting-time of a boundary by the sample path of a Wiener diffusion
 process. The threshold regression methodology is well suited to applications
 involving survival and time-to-event data.

Package: r-cran-thresher
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2716
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-classdiscovery, r-cran-pcdimension, r-cran-mass, r-cran-colorspace, r-cran-movmf, r-cran-ade4, r-cran-oompabase
Suggests: r-cran-nbclust
Filename: pool/dists/focal/main/r-cran-thresher_1.1.5-1.ca2004.1_all.deb
Size: 1363100
MD5sum: 7f56302f28a297005382841ea8191020
SHA1: 93f2de05e15d452f1b134527b9085a908b5dbb3f
SHA256: 86e209100e58b4228e7864a27353daa0599b8cb18360595b2ca490c45a5391cd
SHA512: e29dcf6b7f61b5592795887f612d6a36cc47881b53d3d9a8cc364f955ddc86cb702ff2f4303c18e23af8632315e70b8ce721b9747b94bd43fd25417e30c535e4
Homepage: https://cran.r-project.org/package=Thresher
Description: CRAN Package 'Thresher' (Threshing and Reaping for Principal Components)
 Defines the classes used to identify outliers (threshing) and compute the
 number of significant principal components and number of clusters (reaping)
 in a joint application of PCA and hierarchical clustering. See Wang et al.,
 2018, <doi:10.1186/s12859-017-1998-9>.

Package: r-cran-thresholdroc
Architecture: all
Version: 2.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 261
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-numderiv, r-cran-proc, r-cran-ks
Filename: pool/dists/focal/main/r-cran-thresholdroc_2.9.4-1.ca2004.1_all.deb
Size: 227856
MD5sum: 3db8eb15136e6143699aa6755d1a2f02
SHA1: 658fc1ea1d2528e58aba13995af3bb163d33998d
SHA256: dea5456698ae4e392df1296cbabd6bddd40658c2b78eb48e30c6be2c7c5b09ce
SHA512: 7968554023d87788835f67f28cd795da76d08073d76cfa961e133a0bf3d20052272bb1e96246952ee4528cea353db53f64c00eab410e936a7baeec58e7979afa
Homepage: https://cran.r-project.org/package=ThresholdROC
Description: CRAN Package 'ThresholdROC' (Optimum Threshold Estimation)
 Functions that provide point and interval estimations of optimum thresholds
 for continuous diagnostic tests. The methodology used is based on minimizing
 an overall cost function in the two- and three-state settings. We also
 provide functions for sample size determination and estimation of diagnostic
 accuracy measures. We also include graphical tools. The statistical
 methodology used here can be found in Perez-Jaume et al (2017)
 <doi:10.18637/jss.v082.i04> and in Skaltsa et al (2010, 2012)
 <doi:10.1002/bimj.200900294>, <doi:10.1002/sim.4369>.

Package: r-cran-thresholdrocsurvival
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-boot, r-cran-informativecensoring, r-cran-proc, r-cran-psych, r-cran-survival, r-cran-thresholdroc
Filename: pool/dists/focal/main/r-cran-thresholdrocsurvival_1.2.1-1.ca2004.1_all.deb
Size: 83896
MD5sum: edd64b34662eec834b86b113a2ef3a56
SHA1: 5cd4a758bced2d71c9ef15886c166f34ac434361
SHA256: 8835a7b00f29a2bc2574f93d2b2d752e6929d96c10b90fe36e0126cbdc678187
SHA512: cb0d6de3d6b21e3d4692172277e67862a9c499f99ac89670fa37ff08044b021a1d3de3f48e4726b439b75566419d5a78a4e8eda8eaa3ca388eb33c7f7c74287a
Homepage: https://cran.r-project.org/package=ThresholdROCsurvival
Description: CRAN Package 'ThresholdROCsurvival' (Diagnostic Ability Assessment with Right-Censored Data at aFixed Time t)
 We focus on the diagnostic ability assessment of medical tests when the
 outcome of interest is the status (alive or dead) of the subjects at a
 certain time-point t. This binary status is determined by right-censored
 times to event and it is unknown for those subjects censored before t. Here
 we provide three methods (unknown status exclusion, imputation of censored
 times and using time-dependent ROC curves) to evaluate the diagnostic
 ability of binary and continuous tests in this context. Two references for
 the methods used here are Skaltsa et al. (2010) <doi:10.1002/bimj.200900294>
 and Heagerty et al. (2000) <doi:10.1111/j.0006-341x.2000.00337.x>.

Package: r-cran-threshr
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-revdbayes, r-cran-rust
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-threshr_1.0.6-1.ca2004.1_all.deb
Size: 177524
MD5sum: c012b0869f09b7224e5c8e75b01e6c86
SHA1: 936ea4efea5e9e5927a85908731625d0eee1d28d
SHA256: e12e0b352820bf4d40dece55219fff44bd6c961e9e1334a6b73a585bd2b6d96a
SHA512: 522642f755f4373b8fb15ee5aa710b4daaf739c9da749dc219781397bc4bc403d7b3abe22c9eedd75e592ebd544247a2e552d1f1c02c7c2bf09a12a14b4db11f
Homepage: https://cran.r-project.org/package=threshr
Description: CRAN Package 'threshr' (Threshold Selection and Uncertainty for Extreme Value Analysis)
 Provides functions for the selection of thresholds for use in extreme value
 models, based mainly on the methodology in Northrop, Attalides and Jonathan
 (2017) <doi:10.1111/rssc.12159>.  It also performs predictive inferences
 about future extreme values, based either on a single threshold or on a
 weighted average of inferences from multiple thresholds, using the
 'revdbayes' package <https://cran.r-project.org/package=revdbayes>.  At the
 moment only the case where the data can be treated as independent
 identically distributed observations is considered.

Package: r-cran-thriftr
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-r6, r-cran-rly, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-thriftr_1.1.7-1.ca2004.1_all.deb
Size: 485852
MD5sum: 1825e48be2d709558d3159db38be144a
SHA1: c180453e379950e77c277ef34365874d7b3c0235
SHA256: c6d8f98ac88982ffb55f84fc3d5930f892a6737f470f4fe9c73addb5424f614d
SHA512: 8ecde158215371be13328f630bd62e3f4339e57d0f3b281cc058aae726bec262dd24cdedf0ec4517311a7b3b4bc9a26866c1cdd8a022493c63abfac3609fbe9e
Homepage: https://cran.r-project.org/package=thriftr
Description: CRAN Package 'thriftr' (Apache Thrift Client Server)
 Pure R implementation of Apache Thrift.  This library doesn't require any
 code generation.  To learn more about Thrift go to
 <https://thrift.apache.org>.

Package: r-cran-thsls
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-thsls_0.1-1.ca2004.1_all.deb
Size: 18592
MD5sum: 23338668c10f71d4b3db5ddbd5cdf29f
SHA1: 8a84bc253b375ac1dd23fcd1696483924e493d67
SHA256: 2e80e73582356e1753b5a660207303208ce8cc8299716c81d1e8bf47bd9a21c2
SHA512: 3a035a1650a2074be507f21ffceae004ae46c16c155f6731a5a4520300d229321c04c211943f682361ff5423e840ff40b3d3bfcbe8372816dbf8ff758fa709f1
Homepage: https://cran.r-project.org/package=thsls
Description: CRAN Package 'thsls' (Three-Stage Least Squares Estimation for Systems of SimultaneousEquations)
 Fit the Simultaneous Systems of Linear Equations using Three-stage Least
 Squares.

Package: r-cran-thurmod
Architecture: all
Version: 1.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 469
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-mass, r-cran-matrixstats, r-cran-lavaan
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-thurmod_1.1.11-1.ca2004.1_all.deb
Size: 330988
MD5sum: a74a1a51a166a020d5a99d056eceba44
SHA1: 8bcb6ba9f6dc511cca099030d53447a04e72c68f
SHA256: b97a3c797569136c881c6af222ff7937d8f9b191a2d86063c086b0d8bea0df86
SHA512: 816bd3bdda5ad3d9efd787bc3314edb6c8ddc4c8179934f1e6ed4c935c787c3da788e697e4624e70c5a187930f57e0356e8f9d1f833571e988304c49f20358c5
Homepage: https://cran.r-project.org/package=ThurMod
Description: CRAN Package 'ThurMod' (Thurstonian CFA and Thurstonian IRT Modeling)
 Fit Thurstonian forced-choice models (CFA (simple and factor) and IRT) in R.
 This package allows for the analysis of item response modeling (IRT) as well
 as confirmatory factor analysis (CFA) in the Thurstonian framework.
 Currently, estimation can be performed by 'Mplus' and 'lavaan'. References:
 Brown & Maydeu-Olivares (2011) <doi:10.1177/0013164410375112>; Jansen, M.
 T., & Schulze, R. (in review). The Thurstonian linked block design:
 Improving Thurstonian modeling for paired comparison and ranking data.;
 Maydeu-Olivares & Böckenholt (2005) <doi:10.1037/1082-989X.10.3.285>.

Package: r-cran-tican
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tican_1.0.3-1.ca2004.1_all.deb
Size: 105612
MD5sum: 197cc0db3aab079606fb307dcbc2f378
SHA1: 066af91bbe0092bd2f02c50b0c9727fc10cf2276
SHA256: 39f7aef632c71093dcdfc13da9b4046aa1ed3ddd491e2acc06c998890de455b0
SHA512: 9bece8469a859b85b40164824f039ecf5ee5fd3c58fb01133288c6f889bc261384274f826a37696e51215e00fd35888802cd38255bca695372293780dd7accef
Homepage: https://cran.r-project.org/package=tican
Description: CRAN Package 'tican' (Plot and Analyse Time-Intensity Data)
 Plots and analyzes time-intensity curve data, such as data from
 (contrast-enhanced) ultrasound. Values such as peak intensity, time to peak
 and area under the curve are calculated.

Package: r-cran-tickexec
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3784
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tickexec_1.1-1.ca2004.1_all.deb
Size: 494668
MD5sum: 656503ba71bca961e233322c9bc4fc94
SHA1: 468f9996d6bf446628ae4a50b65e81ce2a3bfe64
SHA256: fd4fd7f3acd67cfe52dadee44f5ee5cdf019313d6f4f03b26f686414b408b52c
SHA512: 8dce75e38313d166e70d2bd50b0d1ce811d654700f357406179c3195e2b71e6f0748f57667b38b5420f29c020c86ece1ad58ffbf3675fbb1d92a3f5ca252efe0
Homepage: https://cran.r-project.org/package=TickExec
Description: CRAN Package 'TickExec' (Execution Functions for Tick Data Back Test)
 Functions to execute orders in backtesting using tick data. A testing
 platform was established by the four major execution functions, namely
 'LimitBuy', 'LimitSell', 'MarketBuy' and 'MarketSell', which enclosed all
 tedious aspects (such as queueing for order executions and calculate actual
 executed volumes) for order execution using tick data. Such that one can
 focus on the logic of strategies, rather than its execution.

Package: r-cran-tickr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tickr_1.0.2-1.ca2004.1_all.deb
Size: 63044
MD5sum: 998f9ea427a669eb95a0909f7eb3a585
SHA1: 62492e6561eb682e67a769bc4f896a691f25ec7a
SHA256: 2a1154d1ba95db7fb77cfa69734802913287a754d79f2cb7833d55f70c0e4525
SHA512: 122b1e8fe4947937574f24ff7f8fa07616f64912546a5b65ff22763664436c61c233978aa254327f0dea2c6807becd348864963d2eaa97c0182cab122e3f0b27
Homepage: https://cran.r-project.org/package=tickr
Description: CRAN Package 'tickr' (Consistent Axis Tick Marks)
 This is a small package to provide consistent tick marks for plotting
 'ggplot2' figures.  It provides breaks and labels for 'ggplot2' without
 requiring 'ggplot2' to be installed.

Package: r-cran-tictactoe
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 370
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hash
Suggests: r-cran-testthat, r-cran-combiter, r-cran-dplyr, r-cran-tidyr, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tictactoe_0.2.2-1.ca2004.1_all.deb
Size: 319332
MD5sum: 56f54c660235a523ff3055641ad266a8
SHA1: cc9ea9c335064dc49af2178b8a458f2bc3507f43
SHA256: fef3a2862142091eb0b45c71a731b012a2157e5893b55540d349b24ca331cec1
SHA512: 190f8b251800bf29fa63e5285976b32b77256ef93b16378ad416df3ef500e9dce634b93db7b43b497bfd0f8a2801f1f1914a34c731ec83b4ec68ecf66d720fef
Homepage: https://cran.r-project.org/package=tictactoe
Description: CRAN Package 'tictactoe' (Tic-Tac-Toe Game)
 Implements tic-tac-toe game to play on console, either with human or AI
 players.  Various levels of AI players are trained through the Q-learning
 algorithm.

Package: r-cran-tictoc
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tictoc_1.2.1-1.ca2004.1_all.deb
Size: 310368
MD5sum: 5e7ba57005e3a0aa3be904f0941c9e89
SHA1: 5657ca39c982f4b53d44cdff0b010f1fc131ddc4
SHA256: 8f365b2370511f42657a7eddc846bee38a69e92d03ecc91a99ea9fae0f265e98
SHA512: 20f4c4bc65c6faa292bc0870ba450b1c50507d984ae35fa5bf26272886fdfc3145f9615bfd77d10b15bbb2641a5a5df83f438a9ee2a7d77f6528ba396822c85f
Homepage: https://cran.r-project.org/package=tictoc
Description: CRAN Package 'tictoc' (Functions for Timing R Scripts, as Well as Implementations of"Stack" and "StackList" Structures)
 Code execution timing functions 'tic' and 'toc' that can be nested. One can
 record all timings while a complex script is running, and examine the values
 later. It is also possible to instrument the timing calls with custom
 callbacks. In addition, this package provides class 'Stack', implemented as
 a vector, and class 'StackList', which is a stack implemented as a list,
 both of which support operations 'push', 'pop', 'first_element',
 'last_element' and 'clear'.

Package: r-cran-tiddlywikir
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1976
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tiddlywikir_1.0.1-1.ca2004.1_all.deb
Size: 308380
MD5sum: 4786fc34336f82248de59529c2e0a46a
SHA1: 300a81d24a06712ac0f1bc6331978f8f70300cd9
SHA256: 7fa4c7df379ae275000753a6acd8643766f8eed141598b34eac909598ef24194
SHA512: 198a8c4e981974911f8da8ae3a523d875a3f542e5b4b946a86fc2fa04f77d6051e213a4a066767fbff3c3cd4d803d05c03274ab82a32f3ca2c3c9ff4b72a1a98
Homepage: https://cran.r-project.org/package=TiddlyWikiR
Description: CRAN Package 'TiddlyWikiR' (Create dynamic reports using a TiddlyWiki template)
 Utilities to generate wiki reports in TiddlyWiki format.

Package: r-cran-tidecurves
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-data.table, r-cran-fields
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidecurves_0.0.5-1.ca2004.1_all.deb
Size: 86220
MD5sum: 76b75f08994dcd183f1b22f5eadcba0c
SHA1: f389a921ab444aa30df43da6c5b0699264c3956d
SHA256: 73cab4fca5c06c603fdb0b410ba441a3ed5a030da1c399b83b980299cf95b677
SHA512: 3696def4425f24a97b12e14ad4d39b859e1af0549c93fb1fa883aff2894ad119c6132418f014d481882d66f7c63b59fc4f8bce4f9298c52932e74e24da79cc7d
Homepage: https://cran.r-project.org/package=TideCurves
Description: CRAN Package 'TideCurves' (Analysis and Prediction of Tides)
 Tidal analysis of evenly spaced observed time series (time step 1 to 60 min)
 with or without shorter gaps using the harmonic representation of
 inequalities.  The analysis should preferably cover an observation period of
 at least 19 years.  For shorter periods low frequency constituents are not
 taken into account, in accordance with the Rayleigh-Criterion.  The main
 objective of this package is to synthesize or predict a tidal time series.

Package: r-cran-tideharmonics
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1889
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tideharmonics_0.1-1-1.ca2004.1_all.deb
Size: 1164960
MD5sum: b1af7e159588f05e0849c3d643185671
SHA1: 8773434e068da3e786533c7a67d6ac5c75cce7fe
SHA256: 3b852c7789bcaa061e34f8016dc37d82ab9c9108d8a786677b6ec20c254d5a21
SHA512: c738bc40f1de56d2337099b907f97e29e13946271d10d31974c435d9e93923c9e7294d2c1794ef79dfe773b6e34c516ada972f157c37d7c2ce8411767635a46d
Homepage: https://cran.r-project.org/package=TideHarmonics
Description: CRAN Package 'TideHarmonics' (Harmonic Analysis of Tides)
 Implements harmonic analysis of tidal and sea-level data.  Over 400 harmonic
 tidal constituents can be estimated, all with daily nodal corrections.
 Time-varying mean sea-levels can also be used.

Package: r-cran-tides
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 291
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tides_2.1-1.ca2004.1_all.deb
Size: 201892
MD5sum: 29376fc6c753cb75516b3455de09e471
SHA1: d7d6b19356b6202e8b5e0ac1d2b164beb4d033ee
SHA256: e29c394ffff7d6e0b27db90ebe2c56ab28321e3ad780cf997bab2da8f121f515
SHA512: 4eadd99c2d6acb1c8bffa280274e93ea1483763efedd8adb5421d9bb390e600976117721139d7a1abb70efb7fea84a106ebfe15018072b530685fae62a9b15e4
Homepage: https://cran.r-project.org/package=Tides
Description: CRAN Package 'Tides' (Quasi-Periodic Time Series Characteristics)
 Calculate Characteristics of Quasi-Periodic Time Series, e.g. Estuarine
 Water Levels.

Package: r-cran-tidetables
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidetables_0.0.3-1.ca2004.1_all.deb
Size: 219328
MD5sum: 11316a19c5699ae65ab4736622476ba8
SHA1: 6ee44a9c94a4f3e3321e65c840f982ff8b054869
SHA256: 5e3d5d8685602d4dd29d3c01352f955ce4d2ac7f17d9a6f8158d76242b5c8fb7
SHA512: 10b14282e091369562b867f44b79ceb5810f573116f6866a6b74144f10b6afa510bb7eb1862f29251fd39283958942cb2204f27a15d92ea681146e7626d8b2cd
Homepage: https://cran.r-project.org/package=TideTables
Description: CRAN Package 'TideTables' (Tide Analysis and Prediction of Predominantly Semi-Diurnal Tides)
 Tide analysis and prediction of predominantly semi-diurnal tides with two
 high waters and two low waters during one lunar day (~24.842 hours, ~1.035
 days). The analysis should preferably cover an observation period of at
 least 19 years. For shorter periods, for example, the nodal cycle can not be
 taken into account, which particularly affects the height calculation. The
 main objective of this package is to produce tide tables.

Package: r-cran-tidier
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-checkmate, r-cran-rlang, r-cran-slider, r-cran-magrittr, r-cran-furrr, r-cran-dbplyr
Suggests: r-cran-lubridate, r-cran-stringr, r-cran-testthat, r-cran-rsqlite, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-tidier_0.2.0-1.ca2004.1_all.deb
Size: 36652
MD5sum: c5d2ac8beb39b8468f2bbf344f59e220
SHA1: 40893b8bc5ae7b3ed3a1231312fb457bb64be2ca
SHA256: 14a85c256bc58be641b2701aa5691a23446d2a4e9d1d00ab2b51235984e58a29
SHA512: 4107a365f98bbf902c9b35c5d79b8da679bc5bda6adcc5cbb450400caa2df17813758c39979bc56c4b5358a9e3cc792d2f0e703258452b2dc5e1ef3314c886bf
Homepage: https://cran.r-project.org/package=tidier
Description: CRAN Package 'tidier' (Enhanced 'mutate')
 Provides 'Apache Spark' style window aggregation for R dataframes and remote
 'dbplyr' tables via 'mutate' in 'dplyr' flavour.

Package: r-cran-tidyaml
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-parsnip, r-cran-rlang, r-cran-purrr, r-cran-dplyr, r-cran-rsample, r-cran-workflows, r-cran-forcats, r-cran-workflowsets, r-cran-tidyr, r-cran-broom, r-cran-ggplot2, r-cran-magrittr, r-cran-tune
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-stringr, r-cran-recipes, r-cran-multilevelmod, r-cran-rules, r-cran-poissonreg, r-cran-censored, r-cran-baguette, r-cran-bonsai, r-cran-brulee, r-cran-rstanarm, r-cran-dbarts, r-cran-kknn, r-cran-ranger, r-cran-randomforest, r-cran-liblinear, r-cran-flexsurv, r-cran-gee, r-cran-glmnet, r-cran-discrim, r-cran-kernlab, r-cran-klar, r-cran-mda, r-cran-sda, r-cran-sparsediscrim
Filename: pool/dists/focal/main/r-cran-tidyaml_0.0.6-1.ca2004.1_all.deb
Size: 203804
MD5sum: 6c7359b6d234afc9600795dc2915a766
SHA1: 6a8f3965000dd1fe962f9ed1a4e23550cd6f45ca
SHA256: 13b8f449a1f95dd350ce1045049b59311406c1a8cbcdb61906859a53a2cf792e
SHA512: 324a829838867a67acea706208ff2b9ac2a2bcd18d6a627dd9ae52e7a0c16696a4a537664680ab1a5fcead71ca46e3fcd357fdefa295a8e754e8c8f74d94175f
Homepage: https://cran.r-project.org/package=tidyAML
Description: CRAN Package 'tidyAML' (Automatic Machine Learning with 'tidymodels')
 The goal of this package will be to provide a simple interface for automatic
 machine learning that fits the 'tidymodels' framework. The intention is to
 work for regression and classification problems with a simple verb
 framework.

Package: r-cran-tidybayes
Architecture: all
Version: 3.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3251
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggdist, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-coda, r-cran-rlang, r-cran-arrayhelpers, r-cran-tidyselect, r-cran-tibble, r-cran-magrittr, r-cran-posterior, r-cran-withr, r-cran-cli, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-testthat, r-cran-purrr, r-cran-forcats, r-cran-vdiffr, r-cran-svglite, r-cran-rstan, r-cran-rstantools, r-cran-runjags, r-cran-rjags, r-cran-jagsui, r-cran-rstanarm, r-cran-emmeans, r-cran-broom, r-cran-mcmcglmm, r-cran-bayesplot, r-cran-modelr, r-cran-brms, r-cran-cowplot, r-cran-covr, r-cran-rmarkdown, r-cran-ggrepel, r-cran-bindrcpp, r-cran-rcolorbrewer, r-cran-gganimate, r-cran-gifski, r-cran-png, r-cran-ragg, r-cran-pkgdown, r-cran-distributional, r-cran-transformr
Filename: pool/dists/focal/main/r-cran-tidybayes_3.0.7-1.ca2004.1_all.deb
Size: 1632632
MD5sum: 397a861ec7093d685ebfc536ef5c1f45
SHA1: 06cb291998ededd37c1ae6f7a3884b762e915d2f
SHA256: f19fcfb2c6bbc1aabba288de96633aa54d8c8b31185fd6873bec1485dc96d9b9
SHA512: 04960a1829b9a164e012d2621c3719ab129c9c87d791c67092233ea134bbabee584e1aba6d4ff707b88e4f738d066aea55b3f426390ea92b03e60388f8749d3e
Homepage: https://cran.r-project.org/package=tidybayes
Description: CRAN Package 'tidybayes' (Tidy Data and 'Geoms' for Bayesian Models)
 Compose data for and extract, manipulate, and visualize posterior draws from
 Bayesian models ('JAGS', 'Stan', 'rstanarm', 'brms', 'MCMCglmm', 'coda',
 ...) in a tidy data format. Functions are provided to help extract tidy data
 frames of draws from Bayesian models and that generate point summaries and
 intervals in a tidy format. In addition, 'ggplot2' 'geoms' and 'stats' are
 provided for common visualization primitives like points with multiple
 uncertainty intervals, eye plots (intervals plus densities), and fit curves
 with multiple, arbitrary uncertainty bands.

Package: r-cran-tidybde
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-readr, r-cran-scales, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidybde_0.4.0-1.ca2004.1_all.deb
Size: 276500
MD5sum: dea1de7cc25aaaacc9ee6bf4591721ff
SHA1: 36f0f84b08cbe628bdd6bb77a666520312d00266
SHA256: 48865a02723fe06c999ab0fadffb2097094bbb41cca9d8c6409d6a542669161b
SHA512: eaf916c893cf9e227fefbd434e21616d2b6ed31c2a3aff399ded0e13bc15001e2d2648fa31ec1df02c15f189a392dd6e2618af024ce7bfd4fb0c29ee6372f6e6
Homepage: https://cran.r-project.org/package=tidyBdE
Description: CRAN Package 'tidyBdE' (Download Data from Bank of Spain)
 Tools to download data series from 'Banco de España' ('BdE') on 'tibble'
 format. 'Banco de España' is the national central bank and, within the
 framework of the Single Supervisory Mechanism ('SSM'), the supervisor of the
 Spanish banking system along with the European Central Bank. This package is
 in no way sponsored endorsed or administered by 'Banco de España'.

Package: r-cran-tidybins
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-stringr, r-cran-tidyselect, r-cran-purrr, r-cran-janitor, r-cran-tibble, r-cran-rlang, r-cran-lubridate, r-cran-scales, r-cran-ggplot2, r-cran-rlist, r-cran-oner, r-cran-strex, r-cran-clusterr, r-cran-framecleaner, r-cran-xgboost, r-cran-badger, r-cran-autostats
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-arulescba, r-cran-embed, r-cran-woebinning, r-cran-recipes
Filename: pool/dists/focal/main/r-cran-tidybins_0.1.1-1.ca2004.1_all.deb
Size: 70996
MD5sum: a60aa058e89b18fb96d84061e5723382
SHA1: e7a6fcb9916f68a448931634f493e6f0a69225a5
SHA256: 87a2e655c9d24cdd82106d3b5477084570619a466ef897ab19b22d9be0243f4e
SHA512: 6f7caabed40f4ccea29fe1a4927b3e20f0ed96ab2c000b2430582365a6e25e916dfb97f49643565264e94200549e8e4de487a055079ce72d619bf31764b201d7
Homepage: https://cran.r-project.org/package=tidybins
Description: CRAN Package 'tidybins' (Make Tidy Bins)
 Multiple ways to bin numeric columns with a tidy output. Wraps a variety of
 existing binning methods into one function, and includes a new method for
 binning by equal value, which is useful for sales data. Provides a function
 to automatically summarize the properties of the binned columns.

Package: r-cran-tidyboot
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-modelr, r-cran-purrr, r-cran-rlang, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-tidyboot_0.1.1-1.ca2004.1_all.deb
Size: 27772
MD5sum: 50e67ffa9acf819e078031b432126b36
SHA1: f1d78ff86822f70d4b9e51c9c46c4d5c9c482911
SHA256: 91263c322933321fa9f209d32208dd547bd76aa44f630948bdd0858c33e66491
SHA512: bc90d099ddbff058ff972646fe4678563d3770278050fe19f27c94455e421dfe38ca01a1d0257a410e4b11c604173d3aa14bd2954e238e35d096fd38899c9f49
Homepage: https://cran.r-project.org/package=tidyboot
Description: CRAN Package 'tidyboot' (Tidyverse-Compatible Bootstrapping)
 Compute arbitrary non-parametric bootstrap statistics on data in tidy data
 frames.

Package: r-cran-tidycat
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-forcats
Suggests: r-cran-broom, r-cran-ggplot2, r-cran-ggforce, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-tidycat_0.1.2-1.ca2004.1_all.deb
Size: 453360
MD5sum: e13987cf1ac9ad9603340e793e551f55
SHA1: 9605c9f00fd7259f5fd7a0a58aeca010cd86668a
SHA256: cfad5446d5a35d44e92da61de0963df290c066a9442adfd027275923a8aaab47
SHA512: 13788e9932ab2e95045bc3e895d10bc2ba4f006f768c836b0aad18c5b81a42d576ebb86d181deb458e906b445df4df8f930101d0dc02ac1141aa8a60193c6740
Homepage: https://cran.r-project.org/package=tidycat
Description: CRAN Package 'tidycat' (Expand Tidy Output for Categorical Parameter Estimates)
 Create additional rows and columns on broom::tidy() output to allow for
 easier control on categorical parameter estimates.

Package: r-cran-tidycdisc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4604
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cicerone, r-cran-config, r-cran-dplyr, r-cran-dt, r-cran-ggally, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-glue, r-cran-golem, r-cran-gt, r-cran-haven, r-cran-ideafilter, r-cran-plotly, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-sjlabelled, r-cran-stringr, r-cran-survival, r-cran-tidyr, r-cran-timevis, r-cran-tippy
Suggests: r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidycdisc_0.2.1-1.ca2004.1_all.deb
Size: 3420688
MD5sum: 80c4e49dc21e39a46ed27aac2c41346c
SHA1: e3955126cca7d2226743ad1cc2b58bef1dff8fd8
SHA256: db51a744f8228cb5c5f92877b562bb406e97e7d6ce10a851a8945db262648fa6
SHA512: b6ed435a2dd2e92c0b91a2ecde5c213e1664f7fae125b61f79a9a449bd2f8dc809a8bf300127408f17b66b58bf000511fe2d73afb301bdff87254654ec09b29d
Homepage: https://cran.r-project.org/package=tidyCDISC
Description: CRAN Package 'tidyCDISC' (Quick Table Generation & Exploratory Analyses on ADaM-IshDatasets)
 Provides users a quick exploratory dive into common visualizations without
 writing a single line of code given the users data follows the Analysis Data
 Model (ADaM) standards put forth by the Clinical Data Interchange Standards
 Consortium (CDISC) <https://www.cdisc.org>. Prominent modules/ features of
 the application are the Table Generator, Population Explorer, and the
 Individual Explorer. The Table Generator allows users to drag and drop
 variables and desired statistics (frequencies, means, ANOVA, t-test, and
 other summary statistics) into bins that automagically create stunning
 tables with validated information. The Population Explorer offers various
 plots to visualize general trends in the population from various vantage
 points. Plot modules currently include scatter plot, spaghetti plot, box
 plot, histogram, means plot, and bar plot.  Each plot type allows the user
 to plot uploaded variables against one another, and dissect the population
 by filtering out certain subjects.  Last, the Individual Explorer
 establishes a cohesive patient narrative, allowing the user to interact with
 patient metrics (params) by visit or plotting important patient events on a
 timeline. All modules allow for concise filtering & downloading bulk outputs
 into html or pdf formats to save for later.

Package: r-cran-tidycensus
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3602
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-sf, r-cran-dplyr, r-cran-tigris, r-cran-stringr, r-cran-jsonlite, r-cran-purrr, r-cran-rvest, r-cran-tidyr, r-cran-rappdirs, r-cran-readr, r-cran-xml2, r-cran-units, r-cran-rlang, r-cran-crayon, r-cran-tidyselect
Suggests: r-cran-ggplot2, r-cran-survey, r-cran-srvyr, r-cran-terra
Filename: pool/dists/focal/main/r-cran-tidycensus_1.7.1-1.ca2004.1_all.deb
Size: 3510300
MD5sum: 9f2f738f85fc705cbd33b84d8f14158c
SHA1: a02544a8fc572b2c5a1060df0e52919a441c5585
SHA256: 43cbd59bbb40a43d7623aaf7985c3946dab3e2e467eb778ee756ce1350a5a601
SHA512: b202ff4a043812e19a8a8588e02c4f35a303d32802b039c1b564671de8dde3af756627436cfad17be73033453fde8a6d4388052ebebe6442647311b031ccfac3
Homepage: https://cran.r-project.org/package=tidycensus
Description: CRAN Package 'tidycensus' (Load US Census Boundary and Attribute Data as 'tidyverse' and'sf'-Ready Data Frames)
 An integrated R interface to several United States Census Bureau APIs
 (<https://www.census.gov/data/developers/data-sets.html>) and the US Census
 Bureau's geographic boundary files. Allows R users to return Census and ACS
 data as tidyverse-ready data frames, and optionally returns a list-column
 with feature geometry for mapping and spatial analysis.

Package: r-cran-tidychangepoint
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-changepoint, r-cran-cli, r-cran-dplyr, r-cran-ga, r-cran-ggplot2, r-cran-lifecycle, r-cran-memoise, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tsibble, r-cran-vctrs, r-cran-wbs, r-cran-xts, r-cran-zoo
Suggests: r-cran-bench, r-cran-knitr, r-cran-here, r-cran-multitaper, r-cran-readr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidychangepoint_1.0.0-1.ca2004.1_all.deb
Size: 683036
MD5sum: f9774d3ff21038ed18aef8efe23fef69
SHA1: ba2441449db503ccdfb3b461ea4082c2c7be1c12
SHA256: 9094d8a9cff1a9997540409d7ed1f3c4ea1de48029eea1099800767599524b89
SHA512: 11a83697882a818ba145297670588338ab96233f598285c42717e82be307923f3d577bcaf9b4fa3edfbae1e1c49b3b1b2b78dc3baf93fb5e03ca139ffedc1795
Homepage: https://cran.r-project.org/package=tidychangepoint
Description: CRAN Package 'tidychangepoint' (A Tidy Framework for Changepoint Detection Analysis)
 Changepoint detection algorithms for R are widespread but have different
 interfaces and reporting conventions.  This makes the comparative analysis
 of results difficult.  We solve this problem by providing a tidy, unified
 interface for several different changepoint detection algorithms.  We also
 provide consistent numerical and graphical reporting leveraging the 'broom'
 and 'ggplot2' packages.

Package: r-cran-tidycharts
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1778
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-knitr, r-cran-magick, r-cran-rsvg, r-cran-rlang, r-cran-testthat, r-cran-htmlwidgets, r-cran-lubridate, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-palmerpenguins, r-cran-tidyverse, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tidycharts_0.1.3-1.ca2004.1_all.deb
Size: 464556
MD5sum: f9c88fe7ed75e8d75009b8175b56e79f
SHA1: 31473a03899673ebc6834b5619d0ddb297988513
SHA256: 102ba369fc279ea99191a3641c4c6db7711fcfa774338e8b8d3e4dceb35438c1
SHA512: 9b8e546063151f1001fcb5854e1bb17474bdfdc7e0ee6ede4a96ec7f48b4aaea28e5966ad95d883d69cb960c631e5d4fa07f2582ed2f4712c4b9a5bf3e71dac5
Homepage: https://cran.r-project.org/package=tidycharts
Description: CRAN Package 'tidycharts' (Generate Tidy Charts Inspired by 'IBCS')
 There is a wide range of R packages created for data visualization, but
 still, there was no simple and easily accessible way to create clean and
 transparent charts - up to now. The 'tidycharts' package enables the user to
 generate charts compliant with International Business Communication
 Standards ('IBCS').  It means unified bar widths, colors, chart sizes, etc.
 Creating homogeneous reports has never been that easy! Additionally, users
 can apply semantic notation to indicate different data scenarios (plan,
 budget, forecast). What's more, it is possible to customize the charts by
 creating a personal color pallet with the possibility of switching to
 default options after the experiments.  We wanted the package to be helpful
 in writing reports, so we also made joining charts in a one, clear image
 possible.  All charts are generated in SVG format and can be shown in the
 'RStudio' viewer pane or exported to HTML output of 'knitr'/'markdown'.

Package: r-cran-tidyclust
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1164
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dials, r-cran-dplyr, r-cran-flexclust, r-cran-foreach, r-cran-generics, r-cran-glue, r-cran-hardhat, r-cran-modelenv, r-cran-parsnip, r-cran-philentropy, r-cran-prettyunits, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-vctrs
Suggests: r-cran-cluster, r-cran-clusterr, r-cran-clustmixtype, r-cran-covr, r-cran-klar, r-cran-knitr, r-cran-modeldata, r-cran-rcpphungarian, r-cran-recipes, r-cran-rmarkdown, r-cran-testthat, r-cran-workflows
Filename: pool/dists/focal/main/r-cran-tidyclust_0.2.4-1.ca2004.1_all.deb
Size: 458820
MD5sum: 9b9f06c4ab81709e852774afaf116fdd
SHA1: ba9c6eca5805347b0f3d39f8a44fa1c5f882f46c
SHA256: b93d7f7ce13a67baae1d7481f1f5b8ddd4b929cef9d1c52fce66efee5ab02a39
SHA512: 48f0b1bf3a113e82977f77cc7be5c787da887a25367b44cbfd9d198e659f4e54497c3acb9320602bfd6573ea5ea4b7edb480fe936c036eaea26bb751b400fb2a
Homepage: https://cran.r-project.org/package=tidyclust
Description: CRAN Package 'tidyclust' (A Common API to Clustering)
 A common interface to specifying clustering models, in the same style as
 'parsnip'. Creates unified interface across different functions and
 computational engines.

Package: r-cran-tidycmprsk
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-cmprsk, r-cran-dplyr, r-cran-ggplot2, r-cran-gtsummary, r-cran-hardhat, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-survival, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-aod, r-cran-broom.helpers, r-cran-cardx, r-cran-covr, r-cran-ggsurvfit, r-cran-knitr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidycmprsk_1.1.0-1.ca2004.1_all.deb
Size: 449088
MD5sum: 5f5b3937a27ca1bccc9ee8ef35b64243
SHA1: f029a26b927b565611cd2a9ad4e157104eff01b0
SHA256: 6085edf2ddfae99c2c9fcde764a31bd9254e649d579a1669a050a92e0b270781
SHA512: 3d96fea397cbd4531cc87a42c72a42e8a6a336315282ded0d51fb922d3b3bf80fc1c151260b9dc300ccbaf8c32d8f5c504474b6c0703b5be17cbdaec2658acca
Homepage: https://cran.r-project.org/package=tidycmprsk
Description: CRAN Package 'tidycmprsk' (Competing Risks Estimation)
 Provides an intuitive interface for working with the competing risk
 endpoints. The package wraps the 'cmprsk' package, and exports functions for
 univariate cumulative incidence estimates and competing risk regression.
 Methods follow those introduced in Fine and Gray (1999)
 <doi:10.1002/sim.7501>.

Package: r-cran-tidycode
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-pryr, r-cran-tibble, r-cran-rlang, r-cran-glue, r-cran-matahari
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tidycode_0.1.1-1.ca2004.1_all.deb
Size: 159500
MD5sum: 9ef1f513f83afd2827035eee81c3606a
SHA1: a843ac4b0704ba6472e3cfbdad2901bd9b9f695c
SHA256: 3d0d99d71f7cf2c785d8053491aae93b39852c2bb3f2405ae58543a48657bd7c
SHA512: cd3d60c716b6dd5cf2cb699a1d465bd426b491630b5c38804c37be050f703d49a2b9b4eb154ffc40e538babe2e59c9efd395e5b17e2620c83ad2f73ba35c7681
Homepage: https://cran.r-project.org/package=tidycode
Description: CRAN Package 'tidycode' (Analyze Lines of R Code the Tidy Way)
 Analyze lines of R code using tidy principles. This allows you to input
 lines of R code and output a data frame with one row per function included.
 Additionally, it facilitates code classification via included lexicons.

Package: r-cran-tidycomm
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 806
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-car, r-cran-dplyr, r-cran-fastdummies, r-cran-forcats, r-cran-ggally, r-cran-ggplot2, r-cran-glue, r-cran-lm.beta, r-cran-lubridate, r-cran-magrittr, r-cran-mass, r-cran-mbess, r-cran-misty, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidycomm_0.4.1-1.ca2004.1_all.deb
Size: 514220
MD5sum: 76e9f70105fad711e8339a636152b53a
SHA1: fd537b75a2035893f6b512aef379a94467e2e118
SHA256: 950f5896712806f098428e49901b698020d976d422c130880e3a7367aa0bbb49
SHA512: 28d2dbd715eb1bc6c8f3202c2bc279390a5f40f32c1df4840689e6441cb9c495492687156fb53467b57b1c4bef3de28eb7f3acdd9984d4df6adec9412fb2593d
Homepage: https://cran.r-project.org/package=tidycomm
Description: CRAN Package 'tidycomm' (Data Modification and Analysis for Communication Research)
 Provides convenience functions for common data modification and analysis
 tasks in communication research. This includes functions for univariate and
 bivariate data analysis, index generation and reliability computation, and
 intercoder reliability tests. All functions follow the style and syntax of
 the tidyverse, and are construed to perform their computations on multiple
 variables at once. Functions for univariate and bivariate data analysis
 comprise summary statistics for continuous and categorical variables, as
 well as several tests of bivariate association including effect sizes.
 Functions for data modification comprise index generation and automated
 reliability analysis of index variables. Functions for intercoder
 reliability comprise tests of several intercoder reliability estimates,
 including simple and mean pairwise percent agreement, Krippendorff's Alpha
 (Krippendorff 2004, ISBN: 9780761915454), and various Kappa coefficients
 (Brennan & Prediger 1981 <doi: 10.1177/001316448104100307>; Cohen 1960 <doi:
 10.1177/001316446002000104>; Fleiss 1971 <doi: 10.1037/h0031619>).

Package: r-cran-tidyconsultant
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1578
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-badger, r-cran-pacman, r-cran-framecleaner, r-cran-validata, r-cran-presenter, r-cran-autostats, r-cran-tidybins, r-cran-ckmeans.1d.dp
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-yardstick, r-cran-ggstance, r-cran-broom.mixed, r-cran-eix, r-cran-tidyverse, r-cran-diagrammer
Filename: pool/dists/focal/main/r-cran-tidyconsultant_0.1.1-1.ca2004.1_all.deb
Size: 476580
MD5sum: d9f28eeab10a5e1055476a7975026446
SHA1: 303d68c8dd1b18938b277cd8ac8fc4c86ad7c272
SHA256: 39bdf44dc551efc5c476924a99fe81495ee3b419ac162db25fcc9228ae7b5973
SHA512: 986011d33e6eab8493e00fc105ea3b4d02b88e05d13e6749a9fb2073010c47258a85bca7ac858a3cac826e63a019385a005350e374e9392858f50407a68ad52d
Homepage: https://cran.r-project.org/package=TidyConsultant
Description: CRAN Package 'TidyConsultant' (Tidy Consultant Universe)
 Loads the 5 packages in the Tidy Consultant Universe. This collection of
 packages is useful for anyone doing data science, data analysis, or
 quantitative consulting. The functions in these packages range from data
 cleaning, data validation, data binning, statistical modeling, and file
 exporting.

Package: r-cran-tidycountries
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4059
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidycountries_0.1.0-1.ca2004.1_all.deb
Size: 2050032
MD5sum: dea508de0f776635459b75d768c020c9
SHA1: b275c4ae1dbd7490511059bb51975edbc1d262b2
SHA256: ee13fe54abc1c059be1ec4ffab425adba75e5ac6ab08f22070fc44b8e7b29c8d
SHA512: 82cb98ce641d7a6e763a5800b4e668e28a7c1fabb1246c773f95cbae7bc30ace99d5ce62626e1bd61e264c9b5f14e6d18f18446ccd4e55b2c72d44cd67a00790
Homepage: https://cran.r-project.org/package=tidycountries
Description: CRAN Package 'tidycountries' (Access and Manipulate Comprehensive Country Level Data in TidyFormat)
 A comprehensive and user-friendly interface for accessing, manipulating, and
 analyzing country-level data from around the world. It allows users to
 retrieve detailed information on countries, including names, regions,
 continents, populations, currencies, calling codes, and more, all in a tidy
 data format. The package is designed to work seamlessly within the
 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize
 country-level data in R.

Package: r-cran-tidycpp
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rcpp, r-cran-rcppspdlog, r-cran-simplermarkdown
Filename: pool/dists/focal/main/r-cran-tidycpp_0.0.7-1.ca2004.1_all.deb
Size: 30544
MD5sum: 66c0d828e154c01f8789c59a77c05671
SHA1: d2d8af985ed39a4857cbeb87078f35bc3d49bdbd
SHA256: edfccb823e018ab50112230c3f4fecda109cbb4866a97aeb31ff09be92f9ff49
SHA512: e5d1487e10551b0aa6596b4e92ec5697a76fb369fa0d4f6fd9841017f9a258e6b15711ea67673c4d82c1465728452641815078bdb4707beb7517fff33b79f531
Homepage: https://cran.r-project.org/package=tidyCpp
Description: CRAN Package 'tidyCpp' (Tidy C++ Header-Only Definitions for Parts of the C API of R)
 Core parts of the C API of R are wrapped in a C++ namespace via a set of
 inline functions giving a tidier representation of the underlying data
 structures and functionality using a header-only implementation without
 additional dependencies.

Package: r-cran-tidycwl
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4041
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-yaml, r-cran-dplyr, r-cran-magrittr, r-cran-visnetwork, r-cran-htmlwidgets, r-cran-webshot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-tidycwl_1.0.7-1.ca2004.1_all.deb
Size: 562596
MD5sum: 97a69e9615f62f5368cbaa83eb55bb04
SHA1: 2a51ca24be068b015579614a4e4f8968e428b853
SHA256: 3e38707e3976afed0ecdbc59616ac89b91e28bf61039d08e5e62d6329efe9fce
SHA512: 12b86d1d0bbcac72c2f5a55abcc4cfee0006ebb3966b2a8e63dde2e60b48065a146dc28829b4d22906e23865ebb5ca94377b93a22010774a98459e7af3280c64
Homepage: https://cran.r-project.org/package=tidycwl
Description: CRAN Package 'tidycwl' (Tidy Common Workflow Language Tools and Workflows)
 The Common Workflow Language <https://www.commonwl.org/> is an open standard
 for describing data analysis workflows. This package takes the raw Common
 Workflow Language workflows encoded in JSON or 'YAML' and turns the workflow
 elements into tidy data frames or lists.  A graph representation for the
 workflow can be constructed and visualized with the parsed workflow inputs,
 outputs, and steps. Users can embed the visualizations in their 'Shiny'
 applications, and export them as HTML files or static images.

Package: r-cran-tidydann
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dials, r-cran-generics, r-cran-tibble, r-cran-parsnip
Suggests: r-cran-testthat, r-cran-dann, r-cran-recipes, r-cran-mlbench, r-cran-modeldata, r-cran-workflows, r-cran-rsample, r-cran-dplyr, r-cran-magrittr, r-cran-tune, r-cran-scales, r-cran-yardstick, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-tidydann_1.0.1-1.ca2004.1_all.deb
Size: 195208
MD5sum: 3319c2f82c0c3f3ee52ffd8b5107ffb9
SHA1: af412ff8eea8be842537401c0ddc4e38210ebc96
SHA256: 18927d99531171c3bf9e5d4f706b5b822dab0fc57158e46d307f7eb965663a8e
SHA512: 0fca528308ec34b92b87bb9967b88065499facf9ac2410f2aa6720c0b5d6d164e043c399a4231b758e6103aad0cb622974266c71c2f704c10c8567f000c1c55f
Homepage: https://cran.r-project.org/package=tidydann
Description: CRAN Package 'tidydann' (Add the 'dann' Model and the 'sub_dann' Model to the TidymodelsEcosystem)
 Provides model specifications, tuning parameters for models in 'dann'
 package. Models based on Hastie (1996)
 <https://web.stanford.edu/~hastie/Papers/dann_IEEE.pdf>.

Package: r-cran-tidydatatutor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clipr, r-cran-knitr, r-cran-rstudioapi
Suggests: r-cran-rmarkdown, r-cran-dplyr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidydatatutor_0.1.0-1.ca2004.1_all.deb
Size: 63052
MD5sum: f027717a53fd511a7eaced4b89f8ba59
SHA1: 386bd000d9164b30330f6e59bb0859b88ed6d242
SHA256: 96c273fba09bad8e70e6dcd713c0d911c525f8a9bd57c20552fb2c1f93852987
SHA512: 6e5b611d76300e7e392f0ed22bcc26fb20f26f9934b17f61ffe255e55b11063ab1f490fc3d96fe4c4040163d2c8cde9509262193ce729a268d467baa25e297eb
Homepage: https://cran.r-project.org/package=tidydatatutor
Description: CRAN Package 'tidydatatutor' (Send Your R Code to 'Tidy Data Tutor')
 Visualize your 'Tidyverse' data analysis pipelines via the 'Tidy Data
 Tutor'(<https://tidydatatutor.com/>) web application.

Package: r-cran-tidydelta
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-numderiv, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-cli
Suggests: r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-tidydelta_0.1.0-1.ca2004.1_all.deb
Size: 60284
MD5sum: 5d6a8d20a3c1087aaa80e9ea93d4a24e
SHA1: 56588d9d1d1eaf63e93916b195f9bd8168dc14aa
SHA256: 30ae86eda3738e4aed393a5897dd79677bc9c01fa79d68b2a6d3553a413fe5f9
SHA512: 4777638b9b1b3f369ed6d122459277e91f56858b251bb05316a0f59b7ce947a5918c1bcb78f68d5dec1a339cece661d7723fe4ef72afcf9b6ee376290eb39d91
Homepage: https://cran.r-project.org/package=tidydelta
Description: CRAN Package 'tidydelta' (Estimation of Standard Errors using Delta Method)
 Delta Method implementation to estimate standard errors with known
 asymptotic properties within the 'tidyverse' workflow. The Delta Method is a
 statistical tool that approximates an estimator’s behaviour using a Taylor
 Expansion. For a comprehensive explanation, please refer to Chapter 3 of van
 der Vaart (1998, ISBN: 9780511802256).

Package: r-cran-tidydenovix
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-janitor, r-cran-readxl, r-cran-tibble, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-learnr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidydenovix_2.1.0-1.ca2004.1_all.deb
Size: 190972
MD5sum: 61cb52a148154b63a2cdbcd5572e2c83
SHA1: 8772218f2f35359168483164eb38a63a4c31c582
SHA256: eab4828567fce8d86d0f7e3c3393a116f835c176a1817e486591b1136996a115
SHA512: a8a6bf0531b8ff06afca620a10cc178e918d06b4179ee4027edbd43785edf0df2d625349a5675607d211205ea69a9d286614a923f8d07af75aa4a16607842881
Homepage: https://cran.r-project.org/package=tidyDenovix
Description: CRAN Package 'tidyDenovix' (Cleans Spectrophotometry Data Obtained from the Denovix DS-11Instrument)
 Cleans spectrophotometry data obtained from the Denovix instrument. The
 package also provides an option to normalize the data in order to compare
 the quality of the samples obtained.

Package: r-cran-tidydensity
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-ggplot2, r-cran-plotly, r-cran-tidyr, r-cran-purrr, r-cran-actuar, r-cran-patchwork, r-cran-survival, r-cran-nloptr, r-cran-broom, r-cran-tidyselect, r-cran-data.table, r-cran-stringr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-envstats
Filename: pool/dists/focal/main/r-cran-tidydensity_1.5.0-1.ca2004.1_all.deb
Size: 1357432
MD5sum: 20c82be59bced7feb0879c4968f4214f
SHA1: 3cfb09c3301f4bb67bdab0ad48665227843cbcd8
SHA256: 3fba3efed244cd2cb6ddc0bc5ba82c55d136a7881ab578262178e9435ed25539
SHA512: 8bc320fd60d13602050b4eec2cf5ebab864188e22bcf2076248c3946391967199c55a2e05f74a01eb28ce6f279ff0c0ef504968d2766a3046f23e66074357525
Homepage: https://cran.r-project.org/package=TidyDensity
Description: CRAN Package 'TidyDensity' (Functions for Tidy Analysis and Generation of Random Data)
 To make it easy to generate random numbers based upon the underlying stats
 distribution functions. All data is returned in a tidy and structured format
 making working with the data simple and straight forward. Given that the
 data is returned in a tidy 'tibble' it lends itself to working with the rest
 of the 'tidyverse'.

Package: r-cran-tidydfidx
Architecture: all
Version: 0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-vctrs, r-cran-pillar, r-cran-rdpack, r-cran-dfidx
Suggests: r-cran-knitr, r-cran-quarto
Filename: pool/dists/focal/main/r-cran-tidydfidx_0.0-1-1.ca2004.1_all.deb
Size: 128492
MD5sum: 85d37cea597cfa9eb576b2c73970893e
SHA1: dfdc4da3d3b250fc73b844d2d4bab0dd6ae74601
SHA256: 7e7e2b01dae075acb59945a226cca8a4cdfce2a8934af49dfa4fb6ef09ef1144
SHA512: 94bb08f5e62ddf7a576aca6230e6e8c406df206f244bca9504e7c5d777a4347373f656507e8b976094b8d8d660cc486f286236389de0b2c73ff2c3498281e953
Homepage: https://cran.r-project.org/package=tidydfidx
Description: CRAN Package 'tidydfidx' (Indexed 'tibble' and Methods for 'dplyr')
 Provides extended data frames, with a special data frame column which
 contains two indexes, with potentially a nesting structure, and support for
 tibbles and methods for 'dplyr'.

Package: r-cran-tidydice
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-explore, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidydice_1.0.0-1.ca2004.1_all.deb
Size: 263364
MD5sum: 8336d82b3213c9b57ed00b51967056e2
SHA1: 0cefb7f1a8018cf5b272269108c0b4b398fbe8ea
SHA256: fca9a880efd4b73745509e4bec2c312d6fd5d42a1e0c16d30e8be515134e80fe
SHA512: e04466fdc3c9f8e8e5ac753c3803aff7e9ac338383547d563576120ddd95d5f152085b02013b550fde99e83ae4a0d4d1c4519764692a6c857a6d03f59b0745d3
Homepage: https://cran.r-project.org/package=tidydice
Description: CRAN Package 'tidydice' (Simulates Dice Rolls and Coin Flips)
 Utils for basic statistical experiments, that can be used for teaching
 introductory statistics. Each experiment generates a tibble.  Dice rolls and
 coin flips are simulated using sample().  The properties of the dice can be
 changed, like the number of sides.  A coin flip is simulated using a two
 sided dice.  Experiments can be combined with the pipe-operator.

Package: r-cran-tidydisasters
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3951
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-conflicted, r-cran-gghighlight, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-tidydisasters_0.1.1-1.ca2004.1_all.deb
Size: 3324260
MD5sum: 4df0534506b019a49e1558c3c4ed8438
SHA1: 0498a7a9e96da556deef383a9cc7b63098f5b066
SHA256: d9d26b339181b81169057742a8b9654e38bd2a59c1d4e6cd2d1c368afeef4160
SHA512: 311648f6577b28ac547db32fccae28c7b22a52155e2ee825ce46c0ac0be11ff87df0f4420f58e826056cb44635117b0fcb60558d0e9b39359dd544188fa96f82
Homepage: https://cran.r-project.org/package=tidyDisasters
Description: CRAN Package 'tidyDisasters' (Disaster Data Set Including FEMA, EMDAT and GTD Information)
 Pre-processed data that contains a queryable data set with Federal Emergency
 Management Agency (FEMA), Emergency Events Database (EMDAT) and the Global
 Terrorism Database (GTD) merged. The data set contains the reported natural
 and human made disasters that report 3 or more people killed in the United
 States of America.

Package: r-cran-tidydr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggfun, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-bioc-singlecellexperiment, r-bioc-summarizedexperiment
Filename: pool/dists/focal/main/r-cran-tidydr_0.0.5-1.ca2004.1_all.deb
Size: 140404
MD5sum: e6fd0673b3e6738b93a095b504742df9
SHA1: 42fbbd42c32bb424d8221e16cdbbd51a397dcb5b
SHA256: bfbb2979c3ab755e4694e6c3e49fd6dd35b6c0d993e25438c6df572cc05d0aef
SHA512: e8db8817de378084bb79aaf80b28068fcf0e5a0ee772ca2eb26fe5e09dedcf28542fbf4c71257f1488b59495dd7a468fce8ad1c48b7366fb8abc29971c12699d
Homepage: https://cran.r-project.org/package=tidydr
Description: CRAN Package 'tidydr' (Unify Dimensionality Reduction Results)
 Dimensionality reduction (DR) is widely used in many domain for analyzing
 and visualizing high-dimensional data. 'tidydr' provides uniform output and
 is compatible with multiple methods, including 'prcomp', 'mds', 'Rtsne'.
 etc.

Package: r-cran-tidyedgar
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-tidyr, r-cran-httr
Filename: pool/dists/focal/main/r-cran-tidyedgar_1.0.1-1.ca2004.1_all.deb
Size: 116844
MD5sum: c19236c9f3476813bb37906ea3b0528d
SHA1: c2a0524af5b1073046ddf414ddb2ea289be2e649
SHA256: 0d806bcf337fb38cc20a5d9535daa548cffe38d97ce1767e719e373af37426c9
SHA512: 01254fa63a755636631cd0313184bfd2d5f14238889bebfa101bdb57275eca4873938edfb9cfb9e00da1c73e559d2a6e4654d036a4b51163015d1d4a6f09cfc3
Homepage: https://cran.r-project.org/package=tidyedgar
Description: CRAN Package 'tidyedgar' (Tidy Fundamental Financial Data from 'SEC's 'EDGAR' 'API')
 Streamline the process of accessing fundamental financial data from the
 United States Securities and Exchange Commission's ('SEC') Electronic Data
 Gathering, Analysis, and Retrieval system ('EDGAR') 'API'
 <https://www.sec.gov/edgar/sec-api-documentation>, transforming it into a
 tidy, analysis-ready format.

Package: r-cran-tidyedsurvey
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-edsurvey, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyselect, r-cran-lifecycle, r-cran-cli, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyedsurvey_0.1.3-1.ca2004.1_all.deb
Size: 60896
MD5sum: f11a63bb188066318598d1b6d2deb317
SHA1: 65df2b90cb8c58c4d9ade80e996fe726376bc150
SHA256: 063b771cb4e4d06715bad4d7423b1d473ea18e4a418781401836f9a27dbd0e80
SHA512: 37fa4603911ab9a114b1a79e174f0ad0037e7ce97a508e83f28fa891c8d01b3508cecbc4650ae0d2756dce1bf40c52daa3243f3acd47e49e8e216b54ffcf01bd
Homepage: https://cran.r-project.org/package=tidyEdSurvey
Description: CRAN Package 'tidyEdSurvey' (Integration of 'dplyr' and 'ggplot2' with 'EdSurvey')
 Takes objects of class edsurvey.data.frame and converts them to a data.frame
 within the calling environment of 'dplyr' and 'ggplot2' functions.
 Additionally, for plotting with 'ggplot2', users can map aesthetics to
 subject scales and all plausible values will be used. This package supports
 student level data; to work with school or teacher level data, see
 '?EdSurvey::getData'.

Package: r-cran-tidyemoji
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 568
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-emoji, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-ggplot2, r-cran-readr, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-tidyemoji_0.1.1-1.ca2004.1_all.deb
Size: 357800
MD5sum: 467e6e3ca577c823a5f2a25697d711c3
SHA1: cfabb5bf18f2852fda1d1caf49867fecefa06daf
SHA256: b61ac5a622082564b21ee8998a778070854fcd85313d62505ca6eb5236330230
SHA512: 44b9cf61faec8645321954c262255eb482c97aa49f1d96eda2ef198f0e0aec1ba5c673d1f4b84f8bb91c1ab17069471092e7648d5e563041931d225225e5df09
Homepage: https://cran.r-project.org/package=tidyEmoji
Description: CRAN Package 'tidyEmoji' (Discovers Emoji from Text)
 Unicodes are not friendly to work with, and not all Unicodes are Emoji per
 se, making obtaining Emoji statistics a difficult task. This tool can help
 your experience of working with Emoji as smooth as possible, as it has the
 'tidyverse' style.

Package: r-cran-tidyestimate
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Version: 1.1.1-1.ca2004.1
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Suggests: r-cran-rmarkdown, r-cran-knitr
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Size: 1099596
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 The 'ESTIMATE' package infers tumor purity from expression data as a
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 Helper functions for empirical research in financial economics, addressing a
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 An extension to the 'R' tidy data environment for automated machine
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 Provides the function 'tidyformula()', which translates formulas containing
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 A toolkit of tidy data manipulation verbs with 'data.table' as the backend.
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 Tidy syntax for 'data.table', using modification by reference whenever
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 learner of Kennedy (n.d.) <arXiv:2004.14497>. You provide a simple recipe
 for what machine learning algorithms to use in estimating the nuisance
 functions and 'tidyhte' will take care of cross-validation, estimation,
 model selection, diagnostics and construction of relevant quantities of
 interest about the variability of treatment effects.

Package: r-cran-tidyhydat
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3717
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-httr2, r-cran-lubridate, r-cran-rappdirs, r-cran-readr, r-cran-rlang, r-cran-rsqlite, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tidyhydat_0.7.1-1.ca2004.1_all.deb
Size: 1952704
MD5sum: 911d1e6a263311def06c86aa9b6a7e47
SHA1: 862aba13f8557896722057685a0183a9fd9807c6
SHA256: e0e7d774ba5b5d56d6c8eb3c78db5b06cfcfad0c16897726c29caf27b29ad0bd
SHA512: a872d483bbd05cc4d64ce7785b5d87ecb358fc4bd1584909910c97c7cacd6314cb6c9fff9faeaed7917d4936d47375438b0094f597f5c852abd3688ae9d9b6ea
Homepage: https://cran.r-project.org/package=tidyhydat
Description: CRAN Package 'tidyhydat' (Extract and Tidy Canadian 'Hydrometric' Data)
 Provides functions to access historical and real-time national 'hydrometric'
 data from Water Survey of Canada data sources
 (<https://dd.weather.gc.ca/hydrometric/csv/> and
 <https://collaboration.cmc.ec.gc.ca/cmc/hydrometrics/www/>) and then applies
 tidy data principles.

Package: r-cran-tidyindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1243
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-tsibble, r-cran-vctrs
Suggests: r-cran-covr, r-cran-knitr, r-cran-lmomco, r-cran-lubridate, r-cran-rmarkdown, r-cran-slider, r-cran-spei, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyindex_0.1.0-1.ca2004.1_all.deb
Size: 977092
MD5sum: 5a396e84a6c40641a851e1d6d01104c2
SHA1: 517ad5fed810128e182374ca7917989e6867609c
SHA256: 0330d77cbcc1f589cd9ce9efb1cd51a37c4c8a7c49568f9a8028cdfb4b8d5102
SHA512: 1aaf7dad310b4d09e1864d61fcf887b61f39fbf87697dd03acd3fc8f4a3adb1e130a6df9f92714c1c7216c6d8086fba6e4887acb71d6e39f571aea68a261d7af
Homepage: https://cran.r-project.org/package=tidyindex
Description: CRAN Package 'tidyindex' (A Tidy Data Pipeline to Construct, Compare, and Analyse Indexes)
 Construct and analyse indexes in a pipeline tidy workflow.  'tidyindex'
 contains modules for transforming variables, aggregating variables across
 time, reducing data dimension through weighting, and fitting distributions.
 A manuscript describing the methodology can be found at
 <https://github.com/huizezhang-sherry/paper-tidyindex>.

Package: r-cran-tidyjson
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3471
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-forcats, r-cran-ggplot2, r-cran-igraph, r-cran-knitr, r-cran-listviewer, r-cran-lubridate, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rprojroot, r-cran-testthat, r-cran-vctrs, r-cran-viridis, r-cran-wordcloud
Filename: pool/dists/focal/main/r-cran-tidyjson_0.3.2-1.ca2004.1_all.deb
Size: 2006268
MD5sum: cc243b080b08dfd71d9bde58d2ea6ecb
SHA1: e0a390c0a15ce72a4adc36936dc3a731fc208778
SHA256: 77774a073ce00fda9f4e2b8db55dab4c33caf3392378ef5f492cb4021c9084f9
SHA512: 3008a1d3821bfdecb7733105c8119c2c84241a25810b1eb50249bab14ea7cdd7bfbaa208443503acf9a2c2452a98b3333681a934c921d4a193774d9e5cc678d1
Homepage: https://cran.r-project.org/package=tidyjson
Description: CRAN Package 'tidyjson' (Tidy Complex 'JSON')
 Turn complex 'JSON' data into tidy data frames.

Package: r-cran-tidyklips
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-stringr, r-cran-readxl, r-cran-haven, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyklips_0.3.0-1.ca2004.1_all.deb
Size: 155968
MD5sum: d8c6dfd0aeaddb924c54d61e1923b3dd
SHA1: ff0a18ddbd332eca4e0df9f4c1d29f7e1c6e5caf
SHA256: 5b0fc88a84cab43733ad6f447e86ed5df4db28c13b663e68b82da2dc402ed7b9
SHA512: 79b9477b4f30a9745c77e6c8fbf5ae016aa4c83382183a336c644e4138805ee2a4024e0a1afbeea6ce6fc3866ba8bd05e59c75cffc4b3c83107af01c408a924b
Homepage: https://cran.r-project.org/package=tidyklips
Description: CRAN Package 'tidyklips' (Load Korea Labor & Income Panel Study (KLIPS) Data as DataFrames)
 Loading the Korea Labor Institute's KLIPS (Korea Labor & Income Panel Study)
 panel data and returning data frames. Users must download 26 years of panel
 data from the Korea Labor Institute website and save it in a folder in an
 appropriate path. Afterwards, users can easily convert the data into a data
 frame using this package.

Package: r-cran-tidylab
Architecture: all
Version: 4.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-decorators, r-cran-dplyr, r-cran-microservices, r-cran-purrr, r-cran-rstudioapi, r-cran-tibble, r-cran-usethat
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tidylab_4.1.1-1.ca2004.1_all.deb
Size: 32600
MD5sum: 021cdd1c6d0a5464c19605f652e22027
SHA1: 8dd294915488d2bd0445f15547ab7d05025a5846
SHA256: 5dee8b42ebe72a1a03ecbd97bf38cb55269a3322cf30dee09c408496786f1005
SHA512: dcc172d783d4fc4ec8d02c94582af4f57d4995bb383eb5d9f007949218d9e4e1e76c40bab39138df4f20dbba3d21bace7e238ca74a4134ead8655b7a7ad91a10
Homepage: https://cran.r-project.org/package=tidylab
Description: CRAN Package 'tidylab' (Shared Infrastructure of 'Tidylab' Package Collection)
 Selection of packages designed to be loaded in concert. The 'tidylab'
 package collection revolves around project development and deployment. The
 purpose of this is to make it easy to install and subsequently load those
 packages.

Package: r-cran-tidyllm
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1372
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-s7, r-cran-base64enc, r-cran-glue, r-cran-jsonlite, r-cran-curl, r-cran-httr2, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-pdftools, r-cran-tibble, r-cran-cli, r-cran-png, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyverse, r-cran-httptest2, r-cran-httpuv, r-cran-ellmer
Filename: pool/dists/focal/main/r-cran-tidyllm_0.3.4-1.ca2004.1_all.deb
Size: 1123832
MD5sum: 4a67db230b97d638d388f5db5d6ef669
SHA1: 75e01cde2471b5223d491d593a2990e5bcc9989e
SHA256: dddcfc8f3d820cfaece615f5f5f46d88d71891a9d871b9672ddaa08b40a51ae9
SHA512: 9c878dedda94ae13d40a2bd404eed1608d00f7a5e7433e66621adbf69931cfc15d7026020b5187628a73a84ddf8ae273540fac92ceec5453c46c47212ac0a578
Homepage: https://cran.r-project.org/package=tidyllm
Description: CRAN Package 'tidyllm' (Tidy Integration of Large Language Models)
 A tidy interface for integrating large language model (LLM) APIs such as
 'Claude', 'Openai', 'Gemini','Mistral' and local models via 'Ollama' into R
 workflows. The package supports text and media-based interactions,
 interactive message history, batch request APIs, and a tidy,
 pipeline-oriented interface for streamlined integration into data workflows.
 Web services are available at <https://www.anthropic.com>,
 <https://openai.com>, <https://aistudio.google.com/>, <https://mistral.ai/>
 and <https://ollama.com>.

Package: r-cran-tidylo
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-janeaustenr, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-tidytext
Filename: pool/dists/focal/main/r-cran-tidylo_0.2.0-1.ca2004.1_all.deb
Size: 206128
MD5sum: d7c30ec1a637949dc97a59eb9a7439e8
SHA1: c25d5cd9e1be9f9fb97c21cf6f5f8b8793e8d881
SHA256: 59b9b7327918ca681554ab6e676c8527f638422e0f89288f798c138e0000e05c
SHA512: c990428240954c0b1332a5542017eb55f231c7e40abd06e8df78558ecb547999f5213d6eafa1a1f24cdd9042ad65a425e6bbe48203756bed8e033f5dd6cd3d99
Homepage: https://cran.r-project.org/package=tidylo
Description: CRAN Package 'tidylo' (Weighted Tidy Log Odds Ratio)
 How can we measure how the usage or frequency of some feature, such as
 words, differs across some group or set, such as documents? One option is to
 use the log odds ratio, but the log odds ratio alone does not account for
 sampling variability; we haven't counted every feature the same number of
 times so how do we know which differences are meaningful? Enter the weighted
 log odds, which 'tidylo' provides an implementation for, using tidy data
 principles.  In particular, here we use the method outlined in Monroe,
 Colaresi, and Quinn (2008) <doi:10.1093/pan/mpn018> to weight the log odds
 ratio by a prior. By default, the prior is estimated from the data itself,
 an empirical Bayes approach, but an uninformative prior is also available.

Package: r-cran-tidylog
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 252
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-glue, r-cran-clisymbols, r-cran-rlang
Suggests: r-cran-testthat, r-cran-units, r-cran-nycflights13, r-cran-covr, r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-bench
Filename: pool/dists/focal/main/r-cran-tidylog_1.1.0-1.ca2004.1_all.deb
Size: 133120
MD5sum: 5b261c63f43047b8d9eb7bee16b2c61d
SHA1: 9a65628752450c8b92ece46f831b7cc48c033e29
SHA256: 6ae2e019cbd6aa951e9147d345d5e5bdacafd2f8a5eb406f5d7ab898012a32dc
SHA512: f742eaed35a6f3c255f493b3b45b4c1fbb55b4bdd9f2aec1a43e4e7c2301e913d53bb764196542a514059d4826794988673a5c05757dae3309ac5c976e42892d
Homepage: https://cran.r-project.org/package=tidylog
Description: CRAN Package 'tidylog' (Logging for 'dplyr' and 'tidyr' Functions)
 Provides feedback about 'dplyr' and 'tidyr' operations.

Package: r-cran-tidylpa
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gtable, r-cran-mclust, r-cran-mix, r-cran-mplusautomation, r-cran-tibble
Suggests: r-cran-knitr, r-cran-lme4, r-cran-missforest, r-cran-pillar, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidylpa_1.1.0-1.ca2004.1_all.deb
Size: 706140
MD5sum: 866f467be3d79ac3749bd10c283a0d95
SHA1: 67aadea1357d40bd224f3c13a51905be99c2dff6
SHA256: 512e5882e2ebfc2c28629156726dee48a5ca2084c0fee7517ec5e07b2a22b828
SHA512: d14d1423a8aca13cec6982c126bf6cea86e9964201c5b77440f88945b91bf7c6dd13621cc220b0995e42583ae25b4ccd4d7f2b3f2b51537a7ddc3a70b9369e4d
Homepage: https://cran.r-project.org/package=tidyLPA
Description: CRAN Package 'tidyLPA' (Easily Carry Out Latent Profile Analysis (LPA) Using Open-Sourceor Commercial Software)
 An interface to the 'mclust' package to easily carry out latent profile
 analysis ("LPA"). Provides functionality to estimate commonly-specified
 models. Follows a tidy approach, in that output is in the form of a data
 frame that can subsequently be computed on. Also has functions to interface
 to the commercial 'MPlus' software via the 'MplusAutomation' package.

Package: r-cran-tidymc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-furrr, r-cran-future, r-cran-ggplot2, r-cran-hms, r-cran-kableextra, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidymc_1.0.0-1.ca2004.1_all.deb
Size: 185632
MD5sum: 1233e0fe8f9b7e6656da6c65402eebff
SHA1: aafb0555bf0eb90d1edd172dbcb18b149b43ff9b
SHA256: 32cd1211e4a0488f942125b25b9ee90141badd5fdf7dfdb8b7107b2e21f896b5
SHA512: c1b83002430e76b03976ffedd4a7469f46586c14828ed7192dd3fdd3829a33316be332395f076cbe2eb2d3e36482fb1b121c4fcca920443667787054f3bf2754
Homepage: https://cran.r-project.org/package=tidyMC
Description: CRAN Package 'tidyMC' (Monte Carlo Simulations Made Easy and Tidy)
 Framework to run Monte Carlo simulations over a parameter grid.  Allows to
 parallelize the simulations.  Generates plots and 'LaTeX' tables summarizing
 the results from the simulation.

Package: r-cran-tidymodels
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-broom, r-cran-cli, r-cran-conflicted, r-cran-dials, r-cran-dplyr, r-cran-ggplot2, r-cran-hardhat, r-cran-infer, r-cran-modeldata, r-cran-parsnip, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-rstudioapi, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-workflows, r-cran-workflowsets, r-cran-yardstick
Suggests: r-cran-covr, r-cran-glue, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-tidymodels_1.3.0-1.ca2004.1_all.deb
Size: 84492
MD5sum: 9193fe7bc6e2698c4d2b0351c7c55be2
SHA1: 0595f39d5f7c8a1e8bc75b9491fc8816400a802b
SHA256: 5351035fd276736c451dd77f94acfc5a9872deda76d01e2c588232e29709fd62
SHA512: a0c666705cb21737ca2b19a8afbac8d02adec03cf8d86e5bdd691faff31067717d5eb9142d070da81b96d68a15e68bb048f8d321cc4b072e0a08e607d2490e05
Homepage: https://cran.r-project.org/package=tidymodels
Description: CRAN Package 'tidymodels' (Easily Install and Load the 'Tidymodels' Packages)
 The tidy modeling "verse" is a collection of packages for modeling and
 statistical analysis that share the underlying design philosophy, grammar,
 and data structures of the tidyverse.

Package: r-cran-tidymodlr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 254
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-dplyr, r-cran-tidyr, r-cran-tm, r-cran-corrr, r-cran-factominer
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidymodlr_1.0.0-1.ca2004.1_all.deb
Size: 200776
MD5sum: dbc97250f66b4fe54221206e309ebd4f
SHA1: bd904668b7ac11bb6ed4c9bf1c45b14d4eb3f183
SHA256: 730c456249f2e146205f2bf12d2c2f0785497bdb2c0d77c1e4db6fd50d2fbfe0
SHA512: f394d5adb9d2713b84e47e964b1a019f2f480a780f203ea8ea63f3bc3c0cd17dc73f95725b92beff328bfcb15fa00b15b6c2f61ccc6db0f0182cfeb76d520f47
Homepage: https://cran.r-project.org/package=tidymodlr
Description: CRAN Package 'tidymodlr' (An R6 Class to Perform Analysis on Long Tidy Data)
 Transforms long data into a matrix form to allow for ease of input into
 modelling packages for regression, principal components, imputation or
 machine learning. It does this by pivoting on user defined columns,
 generating a key-value table for variable names to ensure one-to-one
 mappings are preserved. It is particularly useful when the indicator names
 in the columns are long descriptive strings, for example "Energy imports,
 net (% of energy use)". High level analysis wrapper functions for
 correlation and principal components analysis are provided.

Package: r-cran-tidymultiqc
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2787
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble
Suggests: r-cran-tidyr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-histdat
Filename: pool/dists/focal/main/r-cran-tidymultiqc_1.0.3-1.ca2004.1_all.deb
Size: 353592
MD5sum: 1ffa4693d22bbbc4bebcb32e19a99225
SHA1: adef303875a9c859d3127c37fb03df478618f502
SHA256: 27e69f756fb0ef0cc130403190335b46d6f16b46c44bc236d8aa70c15ca1c25c
SHA512: 14002d7d29b34844c33abb769bbd487304485cbf98f45953d7746ed6fe60af35fef879ab510c039e2f3b76dd7e8397ed997e51f25070c979c00b7e720445d889
Homepage: https://cran.r-project.org/package=TidyMultiqc
Description: CRAN Package 'TidyMultiqc' (Converts 'MultiQC' Reports into Tidy Data Frames)
 Provides the means to convert 'multiqc_data.json' files, produced by the
 wonderful 'MultiQC' tool, into tidy data frames for downstream analysis in
 R. This analysis might involve cohort analysis, quality control
 visualisation, change-point detection, statistical process control,
 clustering, or any other type of quality analysis.

Package: r-cran-tidymv
Architecture: all
Version: 3.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2083
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-mgcv, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidymv_3.4.2-1.ca2004.1_all.deb
Size: 1363508
MD5sum: 7b112fe9069b6702e94402cd7d872348
SHA1: c548fecebbd1ab26271dc0f280224f32176b0c4e
SHA256: 23d84a060f8ab6b7561fe84a0b65c8d1100827fcfaf8df3c3dd4b300c96bc5e3
SHA512: 6d270a5d3d96b7c1f7b357e12739ab257279c158197af14d61930b37a6f3e82c51b0491694b0ebd807e703ae8e5d9087dc59d2a0a6338f6aff14a5e968328407
Homepage: https://cran.r-project.org/package=tidymv
Description: CRAN Package 'tidymv' (Tidy Model Visualisation for Generalised Additive Models)
 Provides functions for visualising generalised additive models and getting
 predicted values using tidy tools from the 'tidyverse' packages.

Package: r-cran-tidync
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3369
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-magrittr, r-cran-ncdf4, r-cran-ncmeta, r-cran-purrr, r-cran-rnetcdf, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-cftime
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-cubelyr
Filename: pool/dists/focal/main/r-cran-tidync_0.4.0-1.ca2004.1_all.deb
Size: 296652
MD5sum: 337185f2df57a1893a47d0fb8f792708
SHA1: a7f04568adc40c2e3294c78ff66277d7b0a1cd89
SHA256: e9b2328b6fc39ca2c91fda6b53a4174722154be4aa86d5125b8beea7db5e0c0f
SHA512: 002b54da79c974e50da02a94e67b761e49010ed65724a98adea4452530f8d47cadb2cb66c6eb480af9e21b42c0c60808e206718579608b90498b9030a85c3e5a
Homepage: https://cran.r-project.org/package=tidync
Description: CRAN Package 'tidync' (A Tidy Approach to 'NetCDF' Data Exploration and Extraction)
 Tidy tools for 'NetCDF' data sources. Explore the contents of a 'NetCDF'
 source (file or URL) presented as variables organized by grid with a
 database-like interface. The hyper_filter() interactive function translates
 the filter value or index expressions to array-slicing form. No data is read
 until explicitly requested, as a data frame or list of arrays via
 hyper_tibble() or hyper_array().

Package: r-cran-tidyndr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3315
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-janitor, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vroom, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-tidyndr_0.2.1-1.ca2004.1_all.deb
Size: 1696488
MD5sum: cefe38f3f385b25d4830b9b6fedbad01
SHA1: 34673c0d4079258d0efcf74c5413b92ef293caf4
SHA256: 498db972f2cf0032f171988c338ead63d7276dd1624519d4f16a6bd090a744be
SHA512: 5b206f8028a2ec879af37ba580a9f32375fc31e71d45d1c352e41d25d63255dc58f5b82bd878d5bed7f9b878004bcd0da3ca6a094f63a9c9a47fe844480bdc50
Homepage: https://cran.r-project.org/package=tidyndr
Description: CRAN Package 'tidyndr' (Analysis of the Nigeria National Data Repository (NDR))
 The goal is to simplify routine analysis of the Nigeria National Data
 Repository (NDR) <https://ndr.phis3project.org.ng> using the PEPFAR
 Monitoring, Evaluation, and Reporting (MER) indicators (see
 <https://datim.zendesk.com/hc/en-us/articles/360000084446-MER-Indicator-Reference-Guides>).
 It is designed to import in to R patient-level line-list downloaded as 'csv'
 file from the front-end of the NDR.

Package: r-cran-tidypaleo
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2608
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rlang, r-cran-tidyselect, r-cran-dplyr, r-cran-vctrs, r-cran-tibble, r-cran-scales, r-cran-ggplot2, r-cran-styler, r-cran-purrr, r-cran-ggstance, r-cran-stringr, r-cran-withr, r-cran-tidyr, r-cran-digest, r-cran-rioja
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vegan, r-cran-patchwork, r-cran-forcats, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tidypaleo_0.1.3-1.ca2004.1_all.deb
Size: 1816344
MD5sum: a79eb5f7001d3edbdde9c12d696c5c7d
SHA1: 21c6dc7d1bb47db559be4627f21994dbcaead155
SHA256: 33f0208ee133ce1e9814defc64fa73324ba02d8240775aa5401ca785e071ee98
SHA512: 267bc6f9742126a94420af19edafb43bf272702b178d175892b4ca438408b7423f40dbb370a7c8772dd6acf75e512be2b284bf12cf1d6a2be349ddcac4e83fee
Homepage: https://cran.r-project.org/package=tidypaleo
Description: CRAN Package 'tidypaleo' (Tidy Tools for Paleoenvironmental Archives)
 Provides a set of functions with a common framework for age-depth model
 management, stratigraphic visualization, and common statistical
 transformations. The focus of the package is stratigraphic visualization,
 for which 'ggplot2' components are provided to reproduce the scales,
 geometries, facets, and theme elements commonly used in publication-quality
 stratigraphic diagrams. Helpers are also provided to reproduce the
 exploratory statistical summaries that are frequently included on
 stratigraphic diagrams. See Dunnington et al. (2021)
 <doi:10.18637/jss.v101.i07>.

Package: r-cran-tidyplate
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1909
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-lifecycle, r-cran-openxlsx, r-cran-readxl, r-cran-rlang, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyplate_2.2.0-1.ca2004.1_all.deb
Size: 1576260
MD5sum: 54c57f8c65283a1d530b887e471d57cb
SHA1: ab3a231d8ede0ed1390ec5d32100cc6083dbd7b0
SHA256: b76453eafeb897890393be421e570d92009db06f29a1356e5b70d93bac2f4590
SHA512: af62f1535be4f5bb64aabd8465b69697dc39aa01dc28a1b8b72fe312f7216e81f40df06b0908f3cce88a50ed2a18e1572941af8418d7bd6d55fff0bc5138425a
Homepage: https://cran.r-project.org/package=tidyplate
Description: CRAN Package 'tidyplate' (Transform Microplate Data into Tibbles)
 The goal of 'tidyplate' is to help researchers convert different types of
 microplates into tibbles which can be used in data analysis. It accepts xlsx
 and csv files formatted in a specific way as input. It supports all types of
 standard microplate formats such as 6-well, 12-well, 24-well, 48-well,
 96-well, 384-well, and, 1536-well plates.

Package: r-cran-tidyplots
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3999
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-forcats, r-cran-ggbeeswarm, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggrastr, r-cran-ggrepel, r-cran-glue, r-cran-hmisc, r-cran-htmltools, r-cran-lifecycle, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tidyplots_0.2.2-1.ca2004.1_all.deb
Size: 2972020
MD5sum: b8f4b382d20854d222687c9b930cddd7
SHA1: ffad2c97f0e5e7e8686c811e8029ffeba1905faf
SHA256: a7c2a46f072cc28750b379c6fa3064a1697f2c5633cc2a955b682a6bdeb65e8e
SHA512: 66c75a659dc049c6387506f47bdbe163ffa19f263102381ffde15a5b58a54d0d4c82e0d602b0211ac1ca0da92367f933c2182f06e7c4f1178b6a21b0646e0aff
Homepage: https://cran.r-project.org/package=tidyplots
Description: CRAN Package 'tidyplots' (Tidy Plots for Scientific Papers)
 The goal of 'tidyplots' is to streamline the creation of publication-ready
 plots for scientific papers. It allows to gradually add, remove and adjust
 plot components using a consistent and intuitive syntax.

Package: r-cran-tidyplus
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chk, r-cran-dplyr, r-cran-lifecycle, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-readr, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyplus_0.2.0-1.ca2004.1_all.deb
Size: 69496
MD5sum: 0719a99a37a4e08f3c791b300e9ea4ef
SHA1: ef394a2977ca2766d13ddb17441e975b8ecde1e9
SHA256: 75c7e7895fc6add3b096880a200afc4d4821c7e9d9e71f7b6d9f53f106eb18e8
SHA512: a5a0115b9a2f181c32d9d4bb6e6021c16187c73d09ffe71266aa01ad4f800593c10904ea6c7315012b65127914ec7606c6a5530b3cd92c428774495d3ce8531f
Homepage: https://cran.r-project.org/package=tidyplus
Description: CRAN Package 'tidyplus' (Additional 'tidyverse' Functions)
 Provides functions such as str_crush(), add_missing_column(),
 coalesce_data() and drop_na_all() that complement 'tidyverse' functionality
 or functions that provide alternative behaviors such as if_else2() and
 str_detect2().

Package: r-cran-tidypmc
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-tokenizers, r-cran-stringr, r-cran-tibble, r-cran-dplyr, r-cran-readr
Suggests: r-cran-europepmc, r-cran-tidytext, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tidypmc_2.0-1.ca2004.1_all.deb
Size: 250092
MD5sum: c6e4dbd94c1d588a85d64205f5ddde49
SHA1: 41fb7411708535c38838db7a8c527b5993879842
SHA256: add275d9fcdd867f43ab246290d2c3e1bd854803329fa0462b6bf7b3fd40715d
SHA512: 1b9789d2d71c276225082dcf9d002e18e53265efedb346b4eaa4254182f2de5799f7690930f7c49fce68cfec33a5c718b9e9764757151b8afcc2c9ad41d31738
Homepage: https://cran.r-project.org/package=tidypmc
Description: CRAN Package 'tidypmc' (Parse Full Text XML Documents from PubMed Central)
 Parse XML documents from the Open Access subset of Europe PubMed Central
 <https://europepmc.org> including section paragraphs, tables, captions and
 references.

Package: r-cran-tidyposterior
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 405
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-rstanarm, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-vctrs, r-cran-workflowsets
Suggests: r-cran-covr, r-cran-knitr, r-cran-parsnip, r-cran-rmarkdown, r-cran-testthat, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-tidyposterior_1.0.1-1.ca2004.1_all.deb
Size: 347688
MD5sum: 3f04d3c1c8f284d39c5fdcb5691327a7
SHA1: 0251ff0c82a1742cc7d54d35d790901bd3d2201d
SHA256: 3d8fb0359f0ce9c34d640900a5d4999dae53e58657a5fd7b29e020a642a0702e
SHA512: 6cf8a3cd26e15a2dfaf3fedde7ec269b9e7cce9ee9ef94699981bf4f4e2fa9a20bcdffeed75ac9fc3439d7e126aaee0a35e810bc578221bf1c9fb54a9ebb6d2b
Homepage: https://cran.r-project.org/package=tidyposterior
Description: CRAN Package 'tidyposterior' (Bayesian Analysis to Compare Models using Resampling Statistics)
 Bayesian analysis used here to answer the question: "when looking at
 resampling results, are the differences between models 'real'?" To answer
 this, a model can be created were the performance statistic is the
 resampling statistics (e.g. accuracy or RMSE). These values are explained by
 the model types. In doing this, we can get parameter estimates for each
 model's affect on performance and make statistical (and practical)
 comparisons between models. The methods included here are similar to
 Benavoli et al (2017) <https://jmlr.org/papers/v18/16-305.html>.

Package: r-cran-tidypredict
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1763
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-knitr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-cubist, r-cran-dbi, r-cran-dbplyr, r-cran-earth, r-cran-mlbench, r-cran-modeldata, r-cran-nycflights13, r-cran-parsnip, r-cran-partykit, r-cran-randomforest, r-cran-ranger, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat, r-cran-xgboost, r-cran-yaml
Filename: pool/dists/focal/main/r-cran-tidypredict_0.5.1-1.ca2004.1_all.deb
Size: 1397228
MD5sum: 3a44b38fbe80f3e38ac7ede391f624b7
SHA1: 6843866465e3a1bcf32b9d6503a2fa0cf1c2fffd
SHA256: cf11abb4e2c9e199442356014d855cbfdc0a82ff87853498eba4ee3c2c989fbd
SHA512: 2fb45eba10ec9ddbcfd8f7265c3769f52abd6d7a5b28a83e2532c49e99d9af07f49fe916a52a580f6917aa85da0cab75908924ef6685d42542e08df6d562de1f
Homepage: https://cran.r-project.org/package=tidypredict
Description: CRAN Package 'tidypredict' (Run Predictions Inside the Database)
 It parses a fitted 'R' model object, and returns a formula in 'Tidy Eval'
 code that calculates the predictions.  It works with several databases
 back-ends because it leverages 'dplyr' and 'dbplyr' for the final 'SQL'
 translation of the algorithm. It currently supports lm(), glm(),
 randomForest(), ranger(), earth(), xgb.Booster.complete(), cubist(), and
 ctree() models.

Package: r-cran-tidyprompt
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 721
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-jsonlite, r-cran-stringr, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-here, r-cran-callr, r-cran-skimr, r-cran-jsonvalidate, r-cran-tidyjson, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-tidyprompt_0.0.1-1.ca2004.1_all.deb
Size: 533812
MD5sum: 49d384eaafc2259636c3a165d79ee510
SHA1: afd15e4c068d73fd4a65dda013ff48b635a93646
SHA256: bbe758a379e0b199f1d9704abd0c716663bfb469eebf1ee2560ea3181fad70e3
SHA512: 0c7ca679981da8debced4c3f3ea6326ab50eb44f9c62e7d8cf9f7da86947d6fcf85092f5d06ebd9b39af77bb6576f8a2a5a135a4a06695723b9dbb50d5c9f1b9
Homepage: https://cran.r-project.org/package=tidyprompt
Description: CRAN Package 'tidyprompt' (Prompt Large Language Models and Enhance Their Functionality)
 Easily construct prompts and associated logic for interacting with large
 language models (LLMs).  'tidyprompt' introduces the concept of prompt
 wraps, which are building blocks that you can use to quickly turn a simple
 prompt into a complex one. Prompt wraps do not just modify the prompt text,
 but also add extraction and validation functions that will be applied to the
 response of the LLM. This ensures that the user gets the desired output.
 'tidyprompt' can add various features to prompts and their evaluation by
 LLMs, such as structured output, automatic feedback, retries, reasoning
 modes, autonomous R function calling, and R code generation and evaluation.
 It is designed to be compatible with any LLM provider that offers chat
 completion.

Package: r-cran-tidyquant
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1357
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-httr2, r-cran-curl, r-cran-lazyeval, r-cran-lubridate, r-cran-magrittr, r-cran-performanceanalytics, r-cran-robstattm, r-cran-quantmod, r-cran-purrr, r-cran-readr, r-cran-readxl, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-timetk, r-cran-timedate, r-cran-ttr, r-cran-xts, r-cran-rlang, r-cran-zoo, r-cran-cli
Suggests: r-cran-alphavantager, r-cran-quandl, r-cran-riingo, r-cran-tibbletime, r-cran-broom, r-cran-knitr, r-cran-forcats, r-cran-rmarkdown, r-cran-testthat, r-cran-scales, r-cran-rblpapi, r-cran-janitor
Filename: pool/dists/focal/main/r-cran-tidyquant_1.0.11-1.ca2004.1_all.deb
Size: 1134872
MD5sum: 49b27aa9b15993d54923aa18f1fb1505
SHA1: 8b22ed02f9081c07542a56838c6dffc456687c03
SHA256: 6a877caf9052ed5b8eb12914d20e6eb0c2951fd6eba0057d975ee54d2f3d6472
SHA512: 793c749d4b745df7a8e6459f9b48401661133d6fa611574502d7d3ac2055c7e5cce9b4024da4305955cc31ccc667945d6a003f7a96d58c64deeb9b7faaa7b629
Homepage: https://cran.r-project.org/package=tidyquant
Description: CRAN Package 'tidyquant' (Tidy Quantitative Financial Analysis)
 Bringing business and financial analysis to the 'tidyverse'. The 'tidyquant'
 package provides a convenient wrapper to various 'xts', 'zoo', 'quantmod',
 'TTR' and 'PerformanceAnalytics' package functions and returns the objects
 in the tidy 'tibble' format. The main advantage is being able to use
 quantitative functions with the 'tidyverse' functions including 'purrr',
 'dplyr', 'tidyr', 'ggplot2', 'lubridate', etc. See the 'tidyquant' website
 for more information, documentation and examples.

Package: r-cran-tidyquery
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-queryparser, r-cran-rlang, r-cran-stringr
Suggests: r-cran-covr, r-cran-dbi, r-cran-dbplyr, r-cran-dtplyr, r-cran-arrow, r-cran-nycflights13, r-cran-rsqlite, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tidyquery_0.2.4-1.ca2004.1_all.deb
Size: 73444
MD5sum: 2fde35f36830d4013ce580ed7715fb65
SHA1: d2d5627bba51f6b972a7c1e2b9a1da78bfdfe59b
SHA256: fb54f9bda70064b136c46ec5dfcc4102bcdd7ce823bf28ebc6479c2453dad4d6
SHA512: 2b83b9b0e9814af087823f5429ff6cdb7b5482a835c9abe1a3a1cdf26fce9650a8854a25ce41a4147d5c49f78019f584db729fb3864e91fb392c352b0414fd24
Homepage: https://cran.r-project.org/package=tidyquery
Description: CRAN Package 'tidyquery' (Query 'R' Data Frames with 'SQL')
 Use 'SQL' 'SELECT' statements to query 'R' data frames.

Package: r-cran-tidyqwi
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 234
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-future, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-xml2, r-cran-stringr, r-cran-purrr, r-cran-tidyr, r-cran-labelled, r-cran-furrr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidyqwi_0.1.2-1.ca2004.1_all.deb
Size: 163180
MD5sum: e9d2322b7e1b2066173fb53f5b287257
SHA1: 702e93fc37edb9543024ccfac18434f2621d3461
SHA256: 52cf0be031d2c4b5cdf611b4313ca4ab87344a8cfccfe511148de70400a91ff0
SHA512: 501f6c41c4427b5bfdeba3569b5a7a1bebc62c78b81b49700a42713b986453581734ed71febe683a9280228bb387da0d983585138869a8e1f806b60d5e020bce
Homepage: https://cran.r-project.org/package=tidyqwi
Description: CRAN Package 'tidyqwi' (A Convenient API for Accessing United States Census Bureau'sQuarterly Workforce Indicator)
 The purpose of this package is to access the United States Census Bureau's
 Quarterly Workforce Indicator data. Additionally, the data will be retrieved
 in a tidy format for further manipulation with full variable descriptions
 added if desired. Information about the United States Census Bureau's
 Quarterly Workforce Indicator is available at
 <https://www.census.gov/data/developers/data-sets/qwi.html>.

Package: r-cran-tidyrates
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-epitools, r-cran-forcats, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyrates_0.0.1-1.ca2004.1_all.deb
Size: 45076
MD5sum: be8aa89bf41a19bf28b6f115422575d6
SHA1: 4b8081d1941ace16587b01eabd8588036f5ad843
SHA256: b047f1c623a35875dbae65300f9155bb13be4ebabe40822cec5a42e922d218ce
SHA512: d29b35700a3a72974d1af769851f313e8a0b771643c94151fd1f3ba1f4fa438b82e05c567fc5097ea768fafac48cb9150283985501be8c889cb92c2c50582066
Homepage: https://cran.r-project.org/package=tidyrates
Description: CRAN Package 'tidyrates' (Tidy Epidemiological Rates)
 Compute age-adjusted rates by direct and indirect methods and other
 epidemiological indicators in a tidy way, wrapping functions from the
 'epitools' package.

Package: r-cran-tidyredcap
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1125
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-janitor, r-cran-labelvector, r-cran-magrittr, r-cran-purrr, r-cran-redcapr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-redcapapi, r-cran-rmarkdown, r-cran-skimr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyredcap_1.1.2-1.ca2004.1_all.deb
Size: 755508
MD5sum: 1d75c191e207092ee09f61440ce898bc
SHA1: f20d069c56a3f68107c4698b34470fbf627e21f5
SHA256: cfe10aa3f73f14937438d21a5c7d3724dbf39846d7c7f5f6a64b3bc49bc7ab7a
SHA512: a97ae03cdc51257600e827fa08207a554f8103909fbccefa6b9845cc651422ac52295b52e30ecf60a92358517cd747e7cc5904779523fa97ba199c7895b35c32
Homepage: https://cran.r-project.org/package=tidyREDCap
Description: CRAN Package 'tidyREDCap' (Helper Functions for Working with 'REDCap' Data)
 Helper functions for processing 'REDCap' data in R. 'REDCap' is a
 web-enabled application for building and managing surveys and databases
 developed at Vanderbilt University.

Package: r-cran-tidyrgee
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-crayon, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-reticulate, r-cran-rgee, r-cran-rlang, r-cran-sf, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyrgee_0.1.0-1.ca2004.1_all.deb
Size: 203292
MD5sum: 6417c33d47f5d4d0c00df225bd38bb2d
SHA1: 02c67a7d7c6a00c214779226b9ae32de9761170f
SHA256: c150a880b2bbbcc1dcdbaa0ee9eb02d1267467a4090eac853a10b2d5109e370d
SHA512: 9c761bc4784330c42b256da2d11ff946abdca56e1c7cb205addba45cdc10b02981de6cb1842062b3e6101af0a4b0e3cbb2ee65200ac3e057adbaf3276dc5d44d
Homepage: https://cran.r-project.org/package=tidyrgee
Description: CRAN Package 'tidyrgee' ('tidyverse' Methods for 'Earth Engine')
 Provides 'tidyverse' methods for wrangling and analyzing 'Earth Engine'
 <https://earthengine.google.com/> data. These methods help the user with
 filtering, joining and summarising 'Earth Engine' image collections.

Package: r-cran-tidyrss
Architecture: all
Version: 2.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-jsonlite, r-cran-purrr, r-cran-anytime, r-cran-rlang, r-cran-glue, r-cran-vctrs, r-cran-tidyselect
Suggests: r-cran-httptest, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyrss_2.0.7-1.ca2004.1_all.deb
Size: 78972
MD5sum: 6716810fa198eb4f8c7cc3a6072bcfcf
SHA1: 47d5e55016a2b5260c5e501134cc0c59fdc1effe
SHA256: c6668fb2a81b2a29e515cdbf1d381c5972862808cfbb6ed16240a2be59276376
SHA512: a8b68236f00beb59021881fba934617dc04cdb453919d448e8f5fb3704c80120d69c6df310cd78f3ad96bca0ea3f4fc815bd56448fd7f5a415b7b47ab6ec8f50
Homepage: https://cran.r-project.org/package=tidyRSS
Description: CRAN Package 'tidyRSS' (Tidy RSS for R)
 With the objective of including data from RSS feeds into your analysis,
 'tidyRSS' parses RSS, Atom and JSON feeds and returns a tidy data frame.

Package: r-cran-tidyrstats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-broom, r-cran-glue, r-cran-purrr, r-cran-dplyr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidyrstats_0.1.0-1.ca2004.1_all.deb
Size: 18104
MD5sum: 703c67dc45adaf9f36ed087e77f576bc
SHA1: fcb917d622dda1bdfad333b69f7c5994530281da
SHA256: 169b3ccea6225d573ff61320b353f19cd2eda6f415012059a8419ccfa5b61792
SHA512: b759ff05ddb8b7f7a5821736e7c623f0e7e75204e28b8ec543ff128edae3d9e3d0a79901aebb3a499640adee557a64c08af823cbe9cf289e7b236b3ddee0a2ab
Homepage: https://cran.r-project.org/package=tidyrstats
Description: CRAN Package 'tidyrstats' (Tidy Common R Statistical Functions)
 Provides functions to scale, log-transform and fit linear models within a
 'tidyverse'-style R code framework.  Intended to smooth over inconsistencies
 in output of base R statistical functions, allowing ease of teaching,
 learning and daily use. Inspired by the tidy principles used in 'broom'
 Robinson (2017) <doi:10.21105/joss.00341>.

Package: r-cran-tidyrules
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-magrittr, r-cran-purrr, r-cran-partykit, r-cran-rlang, r-cran-generics, r-cran-checkmate, r-cran-tidytable, r-cran-data.table, r-cran-desctools, r-cran-metricsweighted, r-cran-cli, r-cran-glue, r-cran-pheatmap, r-cran-proxy, r-cran-tibble
Suggests: r-cran-ameshousing, r-cran-dplyr, r-cran-c50, r-cran-cubist, r-cran-rpart, r-cran-rpart.plot, r-cran-modeldata, r-cran-testthat, r-cran-mass, r-cran-mlbench, r-cran-rmarkdown, r-cran-palmerpenguins
Filename: pool/dists/focal/main/r-cran-tidyrules_0.2.7-1.ca2004.1_all.deb
Size: 623704
MD5sum: 61c9ea734043ce5e0cb58841701dd3eb
SHA1: 44e3762593ae51c53380a05481c958655cbce597
SHA256: 725a244d5377bffad4dff4760c68c0b85fb0e59468e4a406d362db1abb5af664
SHA512: 75f371135d0de009039f409769365de517c384cbd2de07318322cd24619e06c952f228144f2963eddf4af5fecf45b21b1649e650209f2a9e4716626b16c960ca
Homepage: https://cran.r-project.org/package=tidyrules
Description: CRAN Package 'tidyrules' (Utilities to Retrieve Rulelists from Model Fits, Filter, Prune,Reorder and Predict on Unseen Data)
 Provides a framework to work with decision rules. Rules can be extracted
 from supported models, augmented with (custom) metrics using validation
 data, manipulated using standard dataframe operations, reordered and pruned
 based on a metric, predict on unseen (test) data. Utilities include;
 Creating a rulelist manually, Exporting a rulelist as a SQL case statement
 and so on. The package offers two classes; rulelist and ruleset based on
 dataframe.

Package: r-cran-tidysdm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4307
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidymodels, r-cran-spatialsample, r-cran-dalex, r-cran-dials, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-maxnet, r-cran-parsnip, r-cran-patchwork, r-cran-recipes, r-cran-rsample, r-cran-rlang, r-cran-stars, r-cran-sf, r-cran-terra, r-cran-tibble, r-cran-tune, r-cran-workflows, r-cran-workflowsets, r-cran-yardstick
Suggests: r-cran-blockcv, r-cran-data.table, r-cran-dalextra, r-cran-doparallel, r-cran-earth, r-cran-kernlab, r-cran-knitr, r-cran-overlapping, r-cran-pastclim, r-cran-ranger, r-cran-rgbif, r-cran-rmarkdown, r-cran-spelling, r-cran-stacks, r-cran-testthat, r-cran-tidyterra, r-cran-vdiffr, r-cran-xgboost, r-cran-ggpattern, r-cran-rhpcblasctl
Filename: pool/dists/focal/main/r-cran-tidysdm_1.0.0-1.ca2004.1_all.deb
Size: 3458932
MD5sum: ed7acc2088f5aebee33778c88baa5f74
SHA1: dd1a9cb2d2bbb7916b8c6398ba2ebd2decc4e721
SHA256: 22809a5e2b6f640d9c95fd296a0bca8e2ca55f51db192a1e4889e03a5872e1b9
SHA512: d905a577e2c98bdc40c546c2936e055cc7e78647a402085b3e741b7cdaab37d1ae19158971668c9008226b8e13c0a73f1e2b6bc50792c5445cfbddff9d4f7428
Homepage: https://cran.r-project.org/package=tidysdm
Description: CRAN Package 'tidysdm' (Species Distribution Models with Tidymodels)
 Fit species distribution models (SDMs) using the 'tidymodels' framework,
 which provides a standardised interface to define models and process their
 outputs. 'tidysdm' expands 'tidymodels' by providing methods for spatial
 objects, models and metrics specific to SDMs, as well as a number of
 specialised functions to process occurrences for contemporary and palaeo
 datasets. The full functionalities of the package are described in Leonardi
 et al. (2023) <doi:10.1101/2023.07.24.550358>.

Package: r-cran-tidysem
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3902
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-lavaan, r-cran-blavaan, r-cran-mplusautomation, r-cran-igraph, r-cran-psych, r-cran-gtable, r-cran-dbscan, r-cran-rann, r-cran-matrix, r-cran-bain, r-cran-car, r-cran-future.apply, r-cran-progressr, r-cran-nonnest2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-dplyr, r-cran-stringr, r-cran-covr, r-cran-tidylpa, r-cran-polca, r-cran-umx, r-cran-mclust, r-cran-mass, r-cran-scales, r-cran-yaml, r-cran-formatr, r-cran-dagitty, r-cran-mice, r-cran-ggraph, r-cran-openmx, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidysem_0.2.8-1.ca2004.1_all.deb
Size: 2412240
MD5sum: 83189c4f0b141f730d2bcc8f7323a803
SHA1: 6fb4f2c110e24db0f7bfd0de41eb3bc7f6f9d6e6
SHA256: 57304e7a25419312c13bfb747f852d5b27e068397d9b39ca8995561352d77316
SHA512: 79dc146efbbb11796322c333d06c7b296bb13a663230b1bf991ff9986d1b0ae64b45bdc60cf12d8d1d05ab51253cb7bb8631d5fa0ab41a855ff5f9e94689972d
Homepage: https://cran.r-project.org/package=tidySEM
Description: CRAN Package 'tidySEM' (Tidy Structural Equation Modeling)
 A tidy workflow for generating, estimating, reporting, and plotting
 structural equation models using 'lavaan', 'OpenMx', or 'Mplus'. Throughout
 this workflow, elements of syntax, results, and graphs are represented as
 'tidy' data, making them easy to customize.  Includes functionality to
 estimate latent class analyses.

Package: r-cran-tidyseurat
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1722
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ttservice, r-cran-seuratobject, r-cran-seurat, r-cran-tibble, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-ggplot2, r-cran-rlang, r-cran-purrr, r-cran-lifecycle, r-cran-plotly, r-cran-tidyselect, r-cran-ellipsis, r-cran-vctrs, r-cran-pillar, r-cran-stringr, r-cran-cli, r-cran-fansi, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-ggally, r-cran-markdown, r-bioc-singler
Filename: pool/dists/focal/main/r-cran-tidyseurat_0.8.0-1.ca2004.1_all.deb
Size: 1352976
MD5sum: 6b523f4fb09576e834caa5896d834231
SHA1: e57418bdea79097bee94739241a42caaf42b3f67
SHA256: 0ebdc02b9d7eb60d0ec99d9e5f4371c90ded762d9d2fe482b7587735a8956ace
SHA512: 38570fcc0e2179ec872bed9c02a4cd5582724ab76779c5667cd66e49afaf9948d8075ff4268e93b50c64ca53d325d7acc092cfb188a16e60ee1d7e3e2faa5fd6
Homepage: https://cran.r-project.org/package=tidyseurat
Description: CRAN Package 'tidyseurat' (Brings Seurat to the Tidyverse)
 It creates an invisible layer that allow to see the 'Seurat' object as
 tibble and interact seamlessly with the tidyverse.

Package: r-cran-tidysmd
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-smd, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-matchit, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tidysmd_0.2.0-1.ca2004.1_all.deb
Size: 890344
MD5sum: 115a5c81fbae19ba449a61cd9c0759f0
SHA1: b89dda83944a3aea8550135f3919229e761e27df
SHA256: e9597d6d3e15baa3a46c51b045edd1cf9d186da85ac842cddc5ec8abdf07b4ae
SHA512: 8585c6d86c91f7ec58890d0717d299c4d7a1a203b518667eaab59952162236bf253fedc54cb1be1a01536ecfa05ba29874e67e3b65947a34f08a4ab1aedd9359
Homepage: https://cran.r-project.org/package=tidysmd
Description: CRAN Package 'tidysmd' (Tidy Standardized Mean Differences)
 Tidy standardized mean differences ('SMDs'). 'tidysmd' uses the 'smd'
 package to calculate standardized mean differences for variables in a data
 frame, returning the results in a tidy format.

Package: r-cran-tidyspec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6279
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-crayon, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-plotly, r-cran-purrr, r-cran-recipes, r-cran-readr, r-cran-readxl, r-cran-rlang, r-cran-scales, r-cran-signal, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-timetk
Suggests: r-cran-gridextra, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-tidyspec_0.1.0-1.ca2004.1_all.deb
Size: 2340060
MD5sum: 2bce2b4c7e362b3693504e583b3cdcae
SHA1: a4077da67f5905c3faf9aa6bbd758b9dc320865c
SHA256: c3b5a4dca552a2c9dc4f4da21bdd4d2930dd5e53a26be62cbd42b88ad0ef9625
SHA512: 080b34cb101ea3031b736035c87df6534981acce6e6fb0cdd4c2277b83f877881b134df031494463a60bcd7e7927971632ef114d0fcae408da10e8bbda99a337
Homepage: https://cran.r-project.org/package=tidyspec
Description: CRAN Package 'tidyspec' (Spectroscopy Analysis Using the Tidy Data Philosophy)
 Enables the analysis of spectroscopy data such as infrared ('IR'), Raman,
 and nuclear magnetic resonance ('NMR') using the tidy data framework from
 the 'tidyverse'. The 'tidyspec' package provides functions for data
 transformation, normalization, baseline correction, smoothing, derivatives,
 and both interactive and static visualization. It promotes structured,
 reproducible workflows for spectral data exploration and preprocessing.
 Implemented methods include Savitzky and Golay (1964) "Smoothing and
 Differentiation of Data by Simplified Least Squares Procedures"
 <doi:10.1021/ac60214a047>, Sternberg (1983) "Biomedical Image Processing"
 <https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1654163>,
 Zimmermann and Kohler (1996) "Baseline correction using the rolling ball
 algorithm" <doi:10.1016/0168-583X(95)00908-6>, Beattie and Esmonde-White
 (2021) "Exploration of Principal Component Analysis: Deriving Principal
 Component Analysis Visually Using Spectra" <doi:10.1177/0003702820987847>,
 Wickham et al. (2019) "Welcome to the tidyverse" <doi:10.21105/joss.01686>,
 and Kuhn, Wickham and Hvitfeldt (2024) "recipes: Preprocessing and Feature
 Engineering Steps for Modeling"
 <https://CRAN.R-project.org/package=recipes>.

Package: r-cran-tidystats
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-readr, r-cran-jsonlite, r-cran-tibble, r-cran-checkmate
Suggests: r-cran-bayesfactor, r-cran-knitr, r-cran-lme4, r-cran-lmertest, r-cran-rmarkdown, r-cran-effectsize, r-cran-effsize, r-cran-hmisc, r-cran-afex, r-cran-emmeans, r-cran-irr, r-cran-testthat, r-cran-memss, r-cran-lavaan, r-cran-nlme, r-cran-rlang, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-tidystats_0.6.3-1.ca2004.1_all.deb
Size: 251624
MD5sum: bdaa8ec896bc84a2a49f461223b49c72
SHA1: 7d08aa7fb62a6056a98e9a3809719677ae78c618
SHA256: 127b4e0b1679c851736f19cf37908fd159212bd9e0537dd6b154b5804a43106c
SHA512: 04ba72eb2574faab755da86256f232b5f47e46660121e1a5f9cb540f185110256d01904e2918650dbc310dcb69cb65f997ae36b1c9daeb34d16a41547007db41
Homepage: https://cran.r-project.org/package=tidystats
Description: CRAN Package 'tidystats' (Save Output of Statistical Tests)
 Save the output of statistical tests in an organized file that can be shared
 with others or used to report statistics in scientific papers.

Package: r-cran-tidystopwords
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 321
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidystopwords_0.9.1-1.ca2004.1_all.deb
Size: 280064
MD5sum: ac74df281a9f304f405bb207cd58274a
SHA1: 1b376cc7293c5c9bf123c30f821cc5f21477a919
SHA256: 370ba6b4aa350efbd7b7580e0f0f209e85b1483509b1e91e63eb55ea08bce0f7
SHA512: 27af3ff660ae6c3f44462ad197150399c03f80963b25027e8b5111835a6247651568b6a5676fd74a47cdc78656e4a5d65be9537bd892307bf4231e3b00c4161e
Homepage: https://cran.r-project.org/package=tidystopwords
Description: CRAN Package 'tidystopwords' (Customisable Stop-Words in 110 Languages)
 Functions to generate stop-word lists in 110 languages, in a way consistent
 across all the languages supported. The generated lists are based on the
 morphological tagset from the Universal Dependencies.

Package: r-cran-tidystringdist
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-attempt, r-cran-rlang, r-cran-stringdist, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-magrittr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidystringdist_0.1.4-1.ca2004.1_all.deb
Size: 25140
MD5sum: 7c408c60e04701678412a7d5efd09863
SHA1: ee0988876d823ced8270a438e4e12443da0990ab
SHA256: bff345b3c59f4e20d101707ef33a8bc90d7295d7611e8cf35d3373470af2a8fa
SHA512: 5380a2f83667d90a97e9b50100e6198fe4b5bdd1130af91aeda1d27f1d860631f07b1a30c8c24e6eafd3fde8866280f9111e5548a812bf10f5b7c9065a5ab009
Homepage: https://cran.r-project.org/package=tidystringdist
Description: CRAN Package 'tidystringdist' (String Distance Calculation with Tidy Data Principles)
 Calculation of string distance following the tidy data principles. Built on
 top of the 'stringdist' package.

Package: r-cran-tidysummaries
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 990
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-tidyr, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-crayon, r-cran-rlang
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tidysummaries_0.1.0-1.ca2004.1_all.deb
Size: 947032
MD5sum: 4e408d112bc23c57bae086b0415e4363
SHA1: 3f0184a91229dd34d1e7d5a1dc6807a1ca46c271
SHA256: 101def269ff3833b97d4f9c9a20dc03294464c9922da26ffbe4bcea993816209
SHA512: ad3c8a1fb5583369de3382d3c59c09535d925209de4fa4546e336eaf1333309c181b29d57462189fd5452a473edc50e61bc79de6bc2bda317c93fd45e635e9e8
Homepage: https://cran.r-project.org/package=tidySummaries
Description: CRAN Package 'tidySummaries' (Tidy Statistical Summaries for Exploratory Data Analysis)
 Provides a tidy set of functions for summarising data, including descriptive
 statistics, frequency tables with normality testing, and group-wise
 significance testing. Designed for fast, readable, and easy exploration of
 both numeric and categorical data.

Package: r-cran-tidysynth
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-forcats, r-cran-rlang, r-cran-kernlab, r-cran-rgenoud, r-cran-optimx
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidysynth_0.2.1-1.ca2004.1_all.deb
Size: 209760
MD5sum: fe8414182fb0cb185356d4e3df46a25a
SHA1: a3165ec281236b2b5dfa5d928b145cfcb770df2e
SHA256: 5e461621406a42aa67da467154a54bacaec703462ece50df401323b5a1cb70c6
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Homepage: https://cran.r-project.org/package=tidysynth
Description: CRAN Package 'tidysynth' (A Tidy Implementation of the Synthetic Control Method)
 A synthetic control offers a way of evaluating the effect of an intervention
 in comparative case studies. The package makes a number of improvements when
 implementing the method in R. These improvements allow users to inspect,
 visualize, and tune the synthetic control more easily. A key benefit of a
 tidy implementation is that the entire preparation process for building the
 synthetic control can be accomplished in a single pipe.

Package: r-cran-tidytable
Architecture: all
Version: 0.11.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-pillar, r-cran-rlang, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-testthat, r-cran-bit64, r-cran-knitr, r-cran-rmarkdown, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-tidytable_0.11.2-1.ca2004.1_all.deb
Size: 396392
MD5sum: 17b591c8f63997c56c6873318c769ec0
SHA1: 1cbad222879c41c5a6c4582e1beb3f2957a46917
SHA256: e25654d4675d5bc4e1733d308fab5c34890ff322a9e7478d96c671e2a483aecc
SHA512: a10957407080044d7863ed795d8f6c322ff94ade43f1e52b3cad8635d0e9835a6ba43033ce1deed7f167109bd3ae2b7266d1c2cc1775106e750c98706f14443f
Homepage: https://cran.r-project.org/package=tidytable
Description: CRAN Package 'tidytable' (Tidy Interface to 'data.table')
 A tidy interface to 'data.table', giving users the speed of 'data.table'
 while using tidyverse-like syntax.

Package: r-cran-tidytags
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1897
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-googlesheets4, r-cran-rlang, r-cran-rtweet, r-cran-stringr
Suggests: r-cran-beepr, r-cran-covr, r-cran-ggplot2, r-cran-ggraph, r-cran-knitr, r-cran-longurl, r-cran-readr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-tidygraph, r-cran-urltools, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-tidytags_1.1.1-1.ca2004.1_all.deb
Size: 1260852
MD5sum: e28195b7e30fc7bd7677e5e6b27ca6df
SHA1: 2c0673409e5b56d35c240f58d6af3a40013f2d44
SHA256: 4d2ac5b89c4415137ce15824269303c8b8fa7b2eda92e1b2e5e6103ed8b82bfb
SHA512: 056af741d3fab13462cc59e67ea66e6938dc6ccfe56f06cda482101bbde78dee0cdbda21662c59bb8b001e5a0413cffd883648c64d972c28694bdd469cd7aee9
Homepage: https://cran.r-project.org/package=tidytags
Description: CRAN Package 'tidytags' (Importing and Analyzing 'Twitter' Data Collected with 'TwitterArchiving Google Sheets')
 The 'tidytags' package coordinates the simplicity of collecting tweets over
 time with a 'Twitter Archiving Google Sheet' (TAGS;
 <https://tags.hawksey.info/>) and the utility of the 'rtweet' package
 (<https://docs.ropensci.org/rtweet/>) for processing and preparing
 additional 'Twitter' metadata. 'tidytags' also introduces functions
 developed to facilitate systematic yet flexible analyses of data from
 'Twitter'.

Package: r-cran-tidyterra
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Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2491
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-sf, r-cran-terra, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-hexbin, r-cran-isoband, r-cran-knitr, r-cran-lifecycle, r-cran-maptiles, r-cran-rmarkdown, r-cran-s2, r-cran-testthat, r-cran-vctrs, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tidyterra_0.7.2-1.ca2004.1_all.deb
Size: 1995104
MD5sum: f55de39e3eb0ef751a94eb0267c3c033
SHA1: ca811412225f65a855b9a5383a17626353bd17fa
SHA256: a97abf9e2335b0eb9abfbf84d559731c9942359db80b12481d71a63633b03f1d
SHA512: 22973ed4795421b4f92998e9307cf72be0fc04c627ab7f66bc976b142603cf4fbecc99b30d3a5b660feb2601ef344655f8ad6e5402eedf695f2f52895a1b1c56
Homepage: https://cran.r-project.org/package=tidyterra
Description: CRAN Package 'tidyterra' ('tidyverse' Methods and 'ggplot2' Helpers for 'terra' Objects)
 Extension of the 'tidyverse' for 'SpatRaster' and 'SpatVector' objects of
 the 'terra' package. It includes also new 'geom_' functions that provide a
 convenient way of visualizing 'terra' objects with 'ggplot2'.

Package: r-cran-tidytext
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Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3276
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-janeaustenr, r-cran-lifecycle, r-cran-matrix, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tokenizers, r-cran-vctrs
Suggests: r-cran-broom, r-cran-covr, r-cran-data.table, r-cran-ggplot2, r-cran-hunspell, r-cran-knitr, r-cran-mallet, r-cran-nlp, r-cran-quanteda, r-cran-readr, r-cran-reshape2, r-cran-rmarkdown, r-cran-scales, r-cran-stm, r-cran-stopwords, r-cran-testthat, r-cran-textdata, r-cran-tidyr, r-cran-tm, r-cran-topicmodels, r-cran-vdiffr, r-cran-wordcloud
Filename: pool/dists/focal/main/r-cran-tidytext_0.4.2-1.ca2004.1_all.deb
Size: 2964440
MD5sum: f29f310b5d32be24a7e2dd179efc573f
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SHA256: f2bba8cdd6607dfb75ca31e653513ac53207f22dabc90bf17d41cf02afafbd9f
SHA512: a69863d25d9e86b146047afd4034e5024cd4223640f2c6569d7175a699be53e9218753a31a384e3fc3173face7a257c5a723a3713f9bcaa5653660b519ca84c6
Homepage: https://cran.r-project.org/package=tidytext
Description: CRAN Package 'tidytext' (Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools)
 Using tidy data principles can make many text mining tasks easier, more
 effective, and consistent with tools already in wide use.  Much of the
 infrastructure needed for text mining with tidy data frames already exists
 in packages like 'dplyr', 'broom', 'tidyr', and 'ggplot2'. In this package,
 we provide functions and supporting data sets to allow conversion of text to
 and from tidy formats, and to switch seamlessly between tidy tools and
 existing text mining packages.

Package: r-cran-tidytidbits
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Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-forcats, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-extrafont, r-cran-magrittr
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-tidytidbits_0.3.2-1.ca2004.1_all.deb
Size: 166428
MD5sum: f6addee1c95f0267ae8fed5e5914490e
SHA1: 9af5a5b637d107ff137fe3e7a1fcefc0a61f281d
SHA256: d8bb1142136cb3082cc6d0a9d8975d78ceae2d55a9fc9be9ad5e6461356b0128
SHA512: bd9b8503f0ad6c87a50411377e60f39e799c7b6bc0ce8b99fe5328ab0d6f2c567b6dd1577d5695ae47e6e69605f9a251cf4327b77768c4a37cf9713ca9db99f7
Homepage: https://cran.r-project.org/package=tidytidbits
Description: CRAN Package 'tidytidbits' (A Collection of Tools and Helpers Extending the Tidyverse)
 A selection of various tools to extend a data analysis workflow based on the
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 (in the style of 'mutate'/'mutate_at'), some methods in the style of 'purrr'
 and 'forcats', 'lookup' methods for dict-like lists, a generic method for
 lumping a data frame by a given count, various low-level methods for special
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 utilities.

Package: r-cran-tidytlg
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1482
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-rlang, r-cran-tidyr, r-cran-stringr, r-cran-forcats, r-cran-purrr, r-cran-huxtable, r-cran-assertthat, r-cran-glue, r-cran-crayon, r-cran-readxl, r-cran-cellranger, r-cran-png, r-cran-ggplot2, r-cran-rstudioapi
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-renv, r-cran-shiny, r-cran-kableextra, r-cran-haven, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tidytlg_0.1.6-1.ca2004.1_all.deb
Size: 793224
MD5sum: b6d342a3c19aa2a53559752b00730bd3
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Homepage: https://cran.r-project.org/package=tidytlg
Description: CRAN Package 'tidytlg' (Create TLGs using the 'tidyverse')
 Generate tables, listings, and graphs (TLG) using 'tidyverse.'  Tables can
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 table and column metadata to create generic analysis summaries.  The
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Package: r-cran-tidytransit
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Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4786
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gtfsio, r-cran-dplyr, r-cran-data.table, r-cran-rlang, r-cran-sf, r-cran-jsonlite, r-cran-hms, r-cran-digest, r-cran-geodist
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-ggplot2, r-cran-scales, r-cran-lubridate, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-tidytransit_1.7.0-1.ca2004.1_all.deb
Size: 3372996
MD5sum: 248c5d6b669c6645d7977bcf34588b9e
SHA1: 402878e532167d8b21eb1081ddc41e707e114a83
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Description: CRAN Package 'tidytransit' (Read, Validate, Analyze, and Map GTFS Feeds)
 Read General Transit Feed Specification (GTFS) zipfiles into a list of R
 dataframes. Perform validation of the data structure against the
 specification. Analyze the headways and frequencies at routes and stops.
 Create maps and perform spatial analysis on the routes and stops. Please see
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Package: r-cran-tidytreatment
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Priority: optional
Section: gnu-r
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Installed-Size: 2669
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Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stan4bart, r-cran-bartcause, r-cran-ggplot2, r-cran-testthat, r-cran-withr, r-cran-lme4
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Size: 2365732
MD5sum: 7d1256caeda03be8315d63076ad738d6
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Homepage: https://cran.r-project.org/package=tidytreatment
Description: CRAN Package 'tidytreatment' (Tidy Methods for Bayesian Treatment Effect Models)
 Functions for extracting tidy data from Bayesian treatment effect models, in
 particular BART, but extensions are possible. Functionality includes
 extracting tidy posterior summaries as in 'tidybayes'
 <https://github.com/mjskay/tidybayes>, estimating (average) treatment
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Package: r-cran-tidytree
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-dplyr, r-cran-lazyeval, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-yulab.utils, r-cran-pillar, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidytree_0.4.6-1.ca2004.1_all.deb
Size: 337608
MD5sum: 84513a25362e66b1d1e66cc4dd1f86a1
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Homepage: https://cran.r-project.org/package=tidytree
Description: CRAN Package 'tidytree' (A Tidy Tool for Phylogenetic Tree Data Manipulation)
 Phylogenetic tree generally contains multiple components including node,
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 manipulate tree data.

Package: r-cran-tidytuesdayr
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Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 353
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-gh, r-cran-glue, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-base64enc, r-cran-covr, r-cran-dplyr, r-cran-fs, r-cran-knitr, r-cran-openssl, r-cran-readxl, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-stringr, r-cran-testthat, r-cran-tibble, r-cran-usethis, r-cran-vctrs, r-cran-withr, r-cran-yaml
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Size: 251356
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SHA256: 362106a1307aafca8a55f5ea2bbc3653eceb45d4aa851fc28a1ab4117625efd9
SHA512: f16695880d10afeb90c3ab803b644a25d5d5afd2bad5ae63fe1a881befa414b46a151f905830900abede46c127731d5e70c19916cebf35dc9699e4c5756e821c
Homepage: https://cran.r-project.org/package=tidytuesdayR
Description: CRAN Package 'tidytuesdayR' (Access the Weekly 'TidyTuesday' Project Dataset)
 'TidyTuesday' is a project by the 'Data Science Learning Community' in which
 they post a weekly dataset in a public data repository
 (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and
 visualize. This package provides the tools to easily download this data and
 the description of the source.

Package: r-cran-tidyusda
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 602
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-crayon, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-sf, r-cran-tigris
Suggests: r-cran-covr, r-cran-knitr, r-cran-nlme, r-cran-rmarkdown, r-cran-spelling, r-cran-stringi, r-cran-testthat, r-cran-usethis, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-tidyusda_0.4.1-1.ca2004.1_all.deb
Size: 462612
MD5sum: 7f6202f3bbf78448323e34108e1b9ffd
SHA1: 11027a9cb9bda4b30dd6d182dfe2bc32d2d57673
SHA256: d7d275976231b36eb8ad251b0a3b11331d10e5ad5213937a483b9e71d72fec25
SHA512: 85d641ee1335ca15a911727d470ea474c445a4fb07a49f61fbf056149120e86e430780a39156725f3b5e7f1bfd4d2c0746513c01590f8e3a720bc68dfca37a65
Homepage: https://cran.r-project.org/package=tidyUSDA
Description: CRAN Package 'tidyUSDA' (A Minimal Tool Set for Gathering USDA Quick Stat Data forAnalysis and Visualization)
 Provides a consistent API to pull United States Department of Agriculture
 census and survey data from the National Agricultural Statistics Service
 (NASS) QuickStats service.

Package: r-cran-tidyverse
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 641
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-broom, r-cran-conflicted, r-cran-cli, r-cran-dbplyr, r-cran-dplyr, r-cran-dtplyr, r-cran-forcats, r-cran-ggplot2, r-cran-googledrive, r-cran-googlesheets4, r-cran-haven, r-cran-hms, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-modelr, r-cran-pillar, r-cran-purrr, r-cran-ragg, r-cran-readr, r-cran-readxl, r-cran-reprex, r-cran-rlang, r-cran-rstudioapi, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-covr, r-cran-feather, r-cran-glue, r-cran-mockr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidyverse_2.0.0-1.ca2004.1_all.deb
Size: 412488
MD5sum: 97a45d1fd631245a6477209083d58d26
SHA1: d8f6aff5574832fe9189390a1e544093536a6707
SHA256: db6cb9794cc0317adc86885f8d24775833cd3c3ca1719671b37bee669a10960a
SHA512: b23556bc06f1c2ceee673efeef6e56485107f19519eee767941127774b733869d78457f262f323241ca22f03c6170bfa9d350aea7e3ae8a9d5d8b6112d4cb611
Homepage: https://cran.r-project.org/package=tidyverse
Description: CRAN Package 'tidyverse' (Easily Install and Load the 'Tidyverse')
 The 'tidyverse' is a set of packages that work in harmony because they share
 common data representations and 'API' design. This package is designed to
 make it easy to install and load multiple 'tidyverse' packages in a single
 step. Learn more about the 'tidyverse' at <https://www.tidyverse.org>.

Package: r-cran-tidyvpc
Architecture: all
Version: 1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3563
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-quantreg, r-cran-rlang, r-cran-mgcv, r-cran-classint, r-cran-cluster, r-cran-ggplot2, r-cran-fastdummies, r-cran-egg
Suggests: r-cran-dplyr, r-cran-kernsmooth, r-cran-knitr, r-cran-r.rsp, r-cran-nlmixr2, r-cran-shiny, r-cran-remotes, r-cran-vpc, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tidyvpc_1.5.2-1.ca2004.1_all.deb
Size: 2588388
MD5sum: f8d3481137a097dab830b833bbb67276
SHA1: 5b20feef3315b9578c3d3f6c371050017843ea76
SHA256: 5a0992028299dc2b3583cdae260bd11ea58acd45fb4eb35d44fae4df55011ce3
SHA512: c56f80db0160155350132369dad2c9a4fa6d47bf57e5852ae8f0b4d86828873a5cff600c6cceb50ddb3af37b15af7b37d3cc99440b19e9a8957e9080e66d3b87
Homepage: https://cran.r-project.org/package=tidyvpc
Description: CRAN Package 'tidyvpc' (VPC Percentiles and Prediction Intervals)
 Perform a Visual Predictive Check (VPC), while accounting for
 stratification, censoring, and prediction correction. Using piping from
 'magrittr', the intuitive syntax gives users a flexible and powerful method
 to generate VPCs using both traditional binning and a new binless approach
 Jamsen et al. (2018) <doi:10.1002/psp4.12319> with Additive Quantile
 Regression (AQR) and Locally Estimated Scatterplot Smoothing (LOESS)
 prediction correction.

Package: r-cran-tidywater
Architecture: all
Version: 0.8.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 785
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-knitr, r-cran-ggplot2, r-cran-ggrepel, r-cran-magrittr, r-cran-purrr, r-cran-furrr, r-cran-rlang, r-cran-desolve
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tidywater_0.8.2-1.ca2004.1_all.deb
Size: 560072
MD5sum: e6301581671b930109f27ea78eca54a1
SHA1: 01002b72d5cd801c6ca388f4000f028c33e90b20
SHA256: 598f346adc134773ece1245baa0030600e4e03546d590d8462d28766cc25695b
SHA512: 3c08182c0e3fa629350e81ba6fb66bbd816e58617350d8acf49961d30b207680c17c08a507532fcdff77ce0c73dbd74bf9d0758e92516cd4eae69ef3c0b0f33d
Homepage: https://cran.r-project.org/package=tidywater
Description: CRAN Package 'tidywater' (Water Quality Models for Drinking Water Treatment Processes)
 Provides multiple water chemistry-based models and published empirical
 models in one standard format.  Functions can be chained together to model a
 complete treatment process and are designed to work in a 'tidyverse'
 workflow.  Models are primarily based on these sources: Benjamin, M. M.
 (2002, ISBN:147862308X), Crittenden, J. C., Trussell, R., Hand, D., Howe, J.
 K., & Tchobanoglous, G., Borchardt, J. H. (2012, ISBN:9781118131473), USEPA.
 (2001)
 <https://www.epa.gov/sites/default/files/2017-03/documents/wtp_model_v._2.0_manual_508.pdf>.

Package: r-cran-tidywikidatar
Architecture: all
Version: 0.5.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-wikidatar, r-cran-stringr, r-cran-glue, r-cran-dbi, r-cran-rsqlite, r-cran-tibble, r-cran-purrr, r-cran-cli, r-cran-wikidataqueryservicer, r-cran-fs, r-cran-rlang, r-cran-progress, r-cran-jsonlite, r-cran-pool, r-cran-vctrs, r-cran-httr2
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-odbc
Filename: pool/dists/focal/main/r-cran-tidywikidatar_0.5.9-1.ca2004.1_all.deb
Size: 710172
MD5sum: ae40d0fd58b2e35e3d7cccfbf4ebdd77
SHA1: 96ec3f1fab97ca456b87ca217f96aead298022f7
SHA256: 92fb83a7bbdf565f8c488440a8f9d906f1afc1dc5aa803496c1f4364f5f85886
SHA512: 0b8c445feb7585dd40d65321c4198c249c9871205ad7d83cd695506b4b160bfb4c4f36ae8cf50ebc417286b68fd5344384e780aa8b722c0dd6b5c88b7d31be5c
Homepage: https://cran.r-project.org/package=tidywikidatar
Description: CRAN Package 'tidywikidatar' (Explore 'Wikidata' Through Tidy Data Frames)
 Query 'Wikidata' API <https://www.wikidata.org/wiki/Wikidata:Main_Page> with
 ease, get tidy data frames in response, and cache data in a local database.

Package: r-cran-tiger
Architecture: all
Version: 0.2.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3530
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-hexbin, r-cran-qualv, r-cran-klar, r-cran-som, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-tiger_0.2.3.1-1.ca2004.1_all.deb
Size: 3567248
MD5sum: caf0e203ec00c16d63cfb889fd8659f5
SHA1: 0f0c55e8bf0b7a3d3fc0ed9e7f48a7ad57fca171
SHA256: 2fc1b55052e230aeab291a2148684884af11c7405520e683eabb4f1cc0bc8c24
SHA512: 587507f1ddfbe01839151637b74db6c25c68b04a66f6d8fe9b397e4f3099b5d93640150334e24930ede5cc6b9cc24872824a32f2d38d33153a84cd96a6725930
Homepage: https://cran.r-project.org/package=tiger
Description: CRAN Package 'tiger' (TIme series of Grouped ERrors)
 Temporally resolved groups of typical differences (errors) between two time
 series are determined and visualized

Package: r-cran-tigerhitter
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openxlsx, r-cran-zoo, r-cran-hmisc, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-tigerhitter_1.1.0-1.ca2004.1_all.deb
Size: 46356
MD5sum: 726a17edb619abd780a0220c771c8a0d
SHA1: c32022461b68590a50da354337483860c6a83f6b
SHA256: 850ce6178a723c98f27514d5b5d9a3e3895e4f178b9af5878600e64976b040bd
SHA512: 4393e901d6ef7d52ab40e23f56d7236a554cd01c0b2135b6adbbb2a5e937bad31346f690157af5c13a0d9dc74d754a12354b7440e5f7e5516767479d1608c6cc
Homepage: https://cran.r-project.org/package=tigerhitteR
Description: CRAN Package 'tigerhitteR' (Pre-Process of Time Series Data Set in R)
 Pre-process for discrete time series data set which is not continuous at the
 column of 'date'. Refilling records of missing 'date' and other columns to
 the hollow data set so that final data set is able to be dealt with time
 series analysis.

Package: r-cran-tigerr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pbapply, r-cran-ppcor, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-tigerr_1.0.0-1.ca2004.1_all.deb
Size: 127132
MD5sum: 60ac3f14247258c6fab5d6e79bb56e02
SHA1: e83408f3bce71565d9677e30ad331bad34fbfcf1
SHA256: 7e5454af62e3eda44626c974a9030c6f2e9efbd9d7c5f0526fa754b5677d1493
SHA512: af658f0110bf0f88309bd16b4d557a0c4f7baad69253d81b7f9f306d20f099b2596a7d24e5602aa57f434e0ac660ccf92fe988005fb70f894bf3e621b6040be4
Homepage: https://cran.r-project.org/package=TIGERr
Description: CRAN Package 'TIGERr' (Technical Variation Elimination with Ensemble LearningArchitecture)
 The R implementation of TIGER.  TIGER integrates random forest algorithm
 into an innovative ensemble learning architecture. Benefiting from this
 advanced architecture, TIGER is resilient to outliers, free from model
 tuning and less likely to be affected by specific hyperparameters.  TIGER
 supports targeted and untargeted metabolomics data and is competent to
 perform both intra- and inter-batch technical variation removal. TIGER can
 also be used for cross-kit adjustment to ensure data obtained from different
 analytical assays can be effectively combined and compared.  Reference: Han
 S. et al. (2022) <doi:10.1093/bib/bbab535>.

Package: r-cran-tigerstats
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abd, r-cran-mosaic, r-cran-mosaicdata, r-cran-ggplot2, r-cran-lattice, r-cran-manipulate, r-cran-mass, r-cran-rlang
Suggests: r-cran-knitr, r-cran-shiny, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-tigerstats_0.3.2-1.ca2004.1_all.deb
Size: 946392
MD5sum: ae32ecab186f824a409fb5931402573e
SHA1: 1f52a66e05c3c26f6828c9926a9926ed591a451f
SHA256: ef6b0c0a7d8a43dcd494ab231af99e54ee86d2d716fc57d12f5aaa155c0236ae
SHA512: 1a371b2f541c0da1feb32b5ae381d54aea31efad09f21db5d940fe91b119178e3439cb2632a0f67159c73b2a84ca5a112857a504758bac71fcaec48e67368ad9
Homepage: https://cran.r-project.org/package=tigerstats
Description: CRAN Package 'tigerstats' (R Functions for Elementary Statistics)
 A collection of data sets and functions that are useful in the teaching of
 statistics at an elementary level to students who may have little or no
 previous experience with the command line.  The functions for elementary
 inferential procedures follow a uniform interface for user input.  Some of
 the functions are instructional applets that can only be run on the R Studio
 integrated development environment with package 'manipulate' installed.
 Other instructional applets are Shiny apps that may be run locally. In
 teaching the package is used alongside of package 'mosaic', 'mosaicData' and
 'abd', which are therefore listed as dependencies.

Package: r-cran-tigger
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4142
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-alakazam, r-cran-dplyr, r-cran-doparallel, r-cran-foreach, r-cran-gridextra, r-cran-gtools, r-cran-iterators, r-cran-lazyeval, r-cran-rlang, r-cran-stringi, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tigger_1.1.0-1.ca2004.1_all.deb
Size: 4093188
MD5sum: ac4c00fcf109ac82e837fc45402a23b4
SHA1: ecc21cc5d9084325748f20d073a5e2616ab35082
SHA256: 8f518ac7d5e6c7984caee357d8087cdd1da19b3e51e3c30e8499be7caab5e422
SHA512: 7f2cf3c564ad078f59b17a3ae0bd6d7e5f9d00c996c62c18efa84152fbdc49c62e317c77bbfa635062250e59848c3c32214e3786032a0327a7c3ddc11d422e70
Homepage: https://cran.r-project.org/package=tigger
Description: CRAN Package 'tigger' (Infers Novel Immunoglobulin Alleles from Sequencing Data)
 Infers the V genotype of an individual from immunoglobulin (Ig) repertoire
 sequencing data (AIRR-Seq, Rep-Seq). Includes detection of any novel
 alleles. This information is then used to correct existing V allele calls
 from among the sample sequences.  Citations: Gadala-Maria, et al (2015)
 <doi:10.1073/pnas.1417683112>, Gadala-Maria, et al (2019)
 <doi:10.3389/fimmu.2019.00129>.

Package: r-cran-tightclust
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tightclust_1.1-1.ca2004.1_all.deb
Size: 151620
MD5sum: 1ef335ff0e0cd9e81455fe22827cba37
SHA1: 85814ea0f4a2495119619d966219b6ca6d6f01cf
SHA256: 3cd0d985e8597e7c7b2c12178bf8b8157bbaa94d28f5a4e973aad4b8d61a78de
SHA512: ff408047b91ed10122624a2a1a3fd91c3e938f9274e005934120aa8a85f6294b7eb7b3555903c4491c294c1359c6058540a2a64e4d529d4b876d1fd53bac31ea
Homepage: https://cran.r-project.org/package=tightClust
Description: CRAN Package 'tightClust' (Tight Clustering)
 The functions needed to perform tight clustering Algorithm.

Package: r-cran-tightenblock
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-rcbalance
Filename: pool/dists/focal/main/r-cran-tightenblock_0.1.7-1.ca2004.1_all.deb
Size: 84876
MD5sum: e98a8cfbf4da7b9f9eebeb69052e9cf8
SHA1: ed2ca025ff7f6e61f0f60964e80a10547e720e4c
SHA256: cf65c680bc3f1597a437b542e5c96cb444ec4a49a64c263302c4a5ff0d78a7a9
SHA512: 7c09173c97397f666d716509cdcbf3098737437ac9debe6f5dabc86ae2c044849b0f826beadfe67058f8444112690f708fdc69f4693453d4c8cc45b6566248f0
Homepage: https://cran.r-project.org/package=tightenBlock
Description: CRAN Package 'tightenBlock' (Tightens an Observational Block Design by Balanced SubsetMatching)
 Tightens an observational block design into a smaller design with either
 smaller or fewer blocks while controlling for covariates. The method uses
 fine balance, optimal subset matching (Rosenbaum, 2012
 <doi:10.1198/jcgs.2011.09219>) and two-criteria matching (Zhang et al 2023
 <doi:10.1080/01621459.2021.1981337>).  The main function is tighten().  The
 suggested 'rrelaxiv' package for solving minimum cost flow problems: (i)
 derives from Bertsekas and Tseng (1988) <doi:10.1007/BF02288322>, (ii) is
 not available on CRAN due to its academic license, (iii) may be downloaded
 from GitHub at <https://github.com/josherrickson/rrelaxiv/>, (iv) is not
 essential to use the package.

Package: r-cran-tigrebrowserwriter
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-tigrebrowserwriter_0.1.5-1.ca2004.1_all.deb
Size: 49436
MD5sum: c664c46d54bfdb972b08935a74707376
SHA1: a4f8a282c67a922f67ebce0df4760e0b439e1eb8
SHA256: e0da4e4f4b6bd7d313540347b6d22ffa82b65b44cb4585483d6a0eb90455bd01
SHA512: 87f613216807dd5b2381a8ba03b95f89d0c8b13d0808a842b515fd8fa3e1195d9f1154ff508b5f40e5ea7a88af844c8b05fdcdab7d43f22fefee240f9316062d
Homepage: https://cran.r-project.org/package=tigreBrowserWriter
Description: CRAN Package 'tigreBrowserWriter' ('tigreBrowser' Database Writer)
 Write modelling results into a database for 'tigreBrowser', a web-based tool
 for browsing figures and summary data of independent model fits, such as
 Gaussian process models fitted for each gene or other genomic element. The
 browser is available at <https://github.com/PROBIC/tigreBrowser>.

Package: r-cran-tigris
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-stringr, r-cran-magrittr, r-cran-rappdirs, r-cran-httr, r-cran-uuid, r-cran-sf, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-ggthemes, r-cran-leaflet, r-cran-knitr, r-cran-tidycensus, r-cran-sp
Filename: pool/dists/focal/main/r-cran-tigris_2.2.1-1.ca2004.1_all.deb
Size: 367944
MD5sum: 1dce95ae13c2551ba002a36ad0672528
SHA1: 29bbc5250b2688cbf40b3f23c226cdceb58e6f14
SHA256: a94351416ec56504aa9e8f978583b098c44459eade7e8923ad189d6a200c27e0
SHA512: 70b70a90e45fe133eb3d83d62a8bb9db0f65470ecde43ad3011e4ee9d52cf7b256a7d291471c959bbcde195063db17ce1598ff2438e56ba74b78831ea60ad7ef
Homepage: https://cran.r-project.org/package=tigris
Description: CRAN Package 'tigris' (Load Census TIGER/Line Shapefiles)
 Download TIGER/Line shapefiles from the United States Census Bureau
 (<https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>)
 and load into R as 'sf' objects.

Package: r-cran-tiktokadsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-tiktokadsr_0.1.0-1.ca2004.1_all.deb
Size: 22012
MD5sum: 440571c8f09d02d3b502d2aa7e3b7587
SHA1: d9014217e268dbb025f250f907319711f2c6e2a9
SHA256: 45a5d2eab48d96d02eafc9a32d1053df6ff33c415c677df15e82cbfb622b4cee
SHA512: 55a302a5ade84d30d26498e443dac1264624d6d1998e9171bc0381b3abcc02f1c9f01e3dfe7d4a6ba31ebed5e31e82d8fe8ae8579747c798f88df4193816f429
Homepage: https://cran.r-project.org/package=tiktokadsR
Description: CRAN Package 'tiktokadsR' (Access to TikTok Ads via the 'Windsor.ai' API)
 Collect marketing data from TikTok Ads using the 'Windsor.ai' API
 <https://windsor.ai/api-fields/>.

Package: r-cran-tilegramsr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 853
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-sp
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-tilegramsr_0.2.0-1.ca2004.1_all.deb
Size: 776284
MD5sum: b5e9ac819fc775840f157c93deb6f201
SHA1: 9b8f9457f88106684f122ef6e9ceca95a55247bd
SHA256: 18f280f411320420f89b3e17a6be121af06ba37ee0e40083da466e06942f0ee1
SHA512: 5b10ec4232571de7394dad72d34cea9465f19100c00e8c691b459869cb6dd572fa45bbaf7a2bead84ff9e7a9a7987063771e75b691f6fc55038e047dff048dd6
Homepage: https://cran.r-project.org/package=tilegramsR
Description: CRAN Package 'tilegramsR' (R Spatial Data for Tilegrams)
 R spatial objects for Tilegrams.  Tilegrams are tiled maps where the region
 size is proportional to the certain characteristics of the dataset.

Package: r-cran-tilemanager
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1090
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-apfun, r-cran-raster, r-cran-rgeos, r-cran-sp, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tilemanager_0.4.1-1.ca2004.1_all.deb
Size: 1030576
MD5sum: 2590796c17f5cadd67e0edf8bf487a38
SHA1: ab5708333cb3af7386fabc0891727d6826e65b16
SHA256: a90a5f2b461c1a21baa8e7a82ef742afc3d91b13cff9fb8af78f8c4f00f284ac
SHA512: 3996d0ef84eb12c2c32f993d058b972f6af203ecec95e0637165052a306fedff2110cc055bec7c917108943e7325d5a435b407dca4aa30acda9f36a6bcef0033
Homepage: https://cran.r-project.org/package=TileManager
Description: CRAN Package 'TileManager' (Tile Manager)
 Tools for creating and detecting tiling schemes for geospatial datasets.

Package: r-cran-tilemaps
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1753
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clue, r-cran-ggplot2, r-cran-igraph, r-cran-lwgeom, r-cran-sf, r-cran-smoothr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-spdata
Filename: pool/dists/focal/main/r-cran-tilemaps_0.2.0-1.ca2004.1_all.deb
Size: 1445808
MD5sum: 3e0ab5268c18f85c97fe5ce4b2a08350
SHA1: 73566b30f72405062dadf9b88b6ce45de0a997aa
SHA256: 8d53bf4de2a82e849463aeb4d0a6179bf7f0149aff38a54c0078a763e8bf1c18
SHA512: 8583c4d39633b0e368a196467474d5d4f6d3acd0bb4682ced5213c05b510f5af42dd0407e6d968edb214c4cabe9b60fd11bd6098528ff38dd3172204d52dbe02
Homepage: https://cran.r-project.org/package=tilemaps
Description: CRAN Package 'tilemaps' (Generate Tile Maps)
 Implements an algorithm for generating maps, known as tile maps, in which
 each region is represented by a single tile of the same shape and size. The
 algorithm was first proposed in "Generating Tile Maps" by Graham McNeill and
 Scott Hale (2017) <doi:10.1111/cgf.13200>. Functions allow users to
 generate, plot, and compare square or hexagon tile maps.

Package: r-cran-tiler
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1083
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-png, r-cran-raster, r-cran-sp
Suggests: r-cran-bmp, r-cran-jpeg, r-cran-knitr, r-cran-leaflet, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-tiler_0.3.2-1.ca2004.1_all.deb
Size: 619320
MD5sum: d529765927f5d33555bc83cd8cb04ab6
SHA1: 30e2252668f7227643f1924fb7517db8e04c4187
SHA256: ad7824b754b18c8a8a58c47303373bf567bbc66297352233a124ab2e1d2138b0
SHA512: b1256182ce699ab1f17e2f51bbffad8029c6231113ade56217029a276a686149118b2832154a420210c53b4447eb3d834572c7791b513d9c4fb9ef0f221971a3
Homepage: https://cran.r-project.org/package=tiler
Description: CRAN Package 'tiler' (Create Geographic and Non-Geographic Map Tiles)
 Creates geographic map tiles from geospatial map files or non-geographic map
 tiles from simple image files. This package provides a tile generator
 function for creating map tile sets for use with packages such as 'leaflet'.
 In addition to generating map tiles based on a common raster layer source,
 it also handles the non-geographic edge case, producing map tiles from
 arbitrary images. These map tiles, which have a non-geographic, simple
 coordinate reference system (CRS), can also be used with 'leaflet' when
 applying the simple CRS option. Map tiles can be created from an input file
 with any of the following extensions: tif, grd and nc for spatial maps and
 png, jpg and bmp for basic images. This package requires 'Python' and the
 'gdal' library for 'Python'. 'Windows' users are recommended to install
 'OSGeo4W' (<https://trac.osgeo.org/osgeo4w/>) as an easy way to obtain the
 required 'gdal' support for 'Python'.

Package: r-cran-tilting
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-tilting_1.1.1-1.ca2004.1_all.deb
Size: 33400
MD5sum: 567b56e695f1a1a9d331f53763f618e8
SHA1: 9fb7619400d137d22a5c7a038fd2f795630716ab
SHA256: b3e5c26086262bea1e0b7ac2ac3912b57438913bac154b94dfb5b73b96d2b067
SHA512: 4f6bfacc38f4db0fbbaf1e0b663fc771752c12b06218ca1a87eb2d919da6d8379147f70391576e1ee06430956323452c903e0a756a125fecfe119af779a8967f
Homepage: https://cran.r-project.org/package=tilting
Description: CRAN Package 'tilting' (Variable Selection via Tilted Correlation Screening Algorithm)
 Implements an algorithm for variable selection in high-dimensional linear
 regression using the "tilted correlation", a new way of measuring the
 contribution of each variable to the response which takes into account high
 correlations among the variables in a data-driven way.

Package: r-cran-timber
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 402
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-cowplot, r-cran-tidyr, r-cran-tibble, r-cran-magrittr, r-cran-miniui, r-cran-shiny
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-minpack.lm, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-timber_2.0.1-1.ca2004.1_all.deb
Size: 237148
MD5sum: 1ad9e002e9b1c26df4ca6883498eedc0
SHA1: e60a8e25b495791e5dcfaba00811bd254401953b
SHA256: 429c1e8264fb51e5dcd1b3fc7c63ea09589d6e06a7c538ee6d13a21ea59f76b3
SHA512: 617d7ac86aa012bc82a4a2250293a1009e3ab191e73bdab63a5d5598eb803d16d7afc35f8b04dfbf6fa2a9cf1104d80e75ab1a4e262473de158b869cf3862186
Homepage: https://cran.r-project.org/package=timbeR
Description: CRAN Package 'timbeR' (Calculate Wood Volumes from Taper Functions)
 Functions for estimation of wood volumes, number of logs, diameters along
 the stem and heights at which certain diameters occur, based on taper
 functions and other parameters. References: McTague, J. P., & Weiskittel, A.
 (2021). <doi:10.1139/cjfr-2020-0326>.

Package: r-cran-timbr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-lifecycle, r-cran-memoise, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidygraph, r-cran-vctrs
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timbr_0.2.2-1.ca2004.1_all.deb
Size: 72040
MD5sum: 2e75663214642041f590dd47293069b2
SHA1: 290dae42f31ef532da08a0344af65808b3e089e9
SHA256: c360ab09f87df5459a78bbfcc28f913355c18b0b77dc6051ace5398202761434
SHA512: 1b2ef0090e952342c0d5c9f067a7e79050a77df865f9d911da6a63e6d063a959a9d41365dd27b8e698502fadb29d0aafb4a44ea31b66f6f0190cb9a334838d16
Homepage: https://cran.r-project.org/package=timbr
Description: CRAN Package 'timbr' (Forest/Tree Data Frames)
 Provides data frames for forest or tree data structures. You can create
 forest data structures from data frames and process them based on their
 hierarchies.

Package: r-cran-time.slots
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-ggfittext, r-cran-ggplot2, r-cran-lubridate, r-cran-scales
Suggests: r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-time.slots_0.2.0-1.ca2004.1_all.deb
Size: 20568
MD5sum: 021d2f1e3873c26f334cfed0097125ea
SHA1: b5ef35d55c4065b59646cd4486992f786316d1c5
SHA256: 382527ad2c83a88ecb6ed9a6f2bf009408fb7ebaef8070c3c013b052b383d3e3
SHA512: de0a1401695671732f59226082244b1196596e2d2c85ddb7e26529396bb7d680d5093128cf98209a76ba4892257c260784e619273a721ba41204d45cfc943e18
Homepage: https://cran.r-project.org/package=time.slots
Description: CRAN Package 'time.slots' (Display Data in a Weekly Calendar View)
 Generate weekly timetables as a ggplot2 layer. Add informative timeslots
 with elements such as title, key-value pairs, or colour to reveal trends.

Package: r-cran-timedate
Architecture: all
Version: 4041.110-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1831
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-timedate_4041.110-1.ca2004.1_all.deb
Size: 1224060
MD5sum: 8a7bbc421a0bcb09c1ff4e7a567d26dc
SHA1: 1650ce448cb58df6e202b7ca9080773bbf727e03
SHA256: 2c61c9f46bf60fb65ef4ef1d8cecc50f780d4c81df180032beca95fc969b76ee
SHA512: 60e8df41897e1a505cf4b4d6d13d4138346f591357e6d7536fc4a80c8fce41a18d612e2d13782c6d5e962cc64ea228757c1a853f33d424683757609cacb61e70
Homepage: https://cran.r-project.org/package=timeDate
Description: CRAN Package 'timeDate' (Rmetrics - Chronological and Calendar Objects)
 The 'timeDate' class fulfils the conventions of the ISO 8601 standard as
 well as of the ANSI C and POSIX standards. Beyond these standards it
 provides the "Financial Center" concept which allows to handle data records
 collected in different time zones and mix them up to have always the proper
 time stamps with respect to your personal financial center, or alternatively
 to the GMT reference time. It can thus also handle time stamps from
 historical data records from the same time zone, even if the financial
 centers changed day light saving times at different calendar dates.

Package: r-cran-timedelay
Architecture: all
Version: 1.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-timedelay_1.0.11-1.ca2004.1_all.deb
Size: 122552
MD5sum: 22428a60bae07bc29b2f8293aa874555
SHA1: 15fabae05690298743130a73c5300866d969d1ea
SHA256: 34806fbf428d0e8552a6ee879c36387b5eec64a8960adf8d9e0b1ce745305c70
SHA512: 13573d76ac96f6ad8a970df5bb502fcdfc6d3a722d7e2d65d1581cc27dc2d3c82f33025499a601e63c0c4b6195c24a4af1981c9167fd4add972bfa5ef08a942a
Homepage: https://cran.r-project.org/package=timedelay
Description: CRAN Package 'timedelay' (Time Delay Estimation for Stochastic Time Series ofGravitationally Lensed Quasars)
 We provide a toolbox to estimate the time delay between the brightness time
 series of gravitationally lensed quasar images via Bayesian and profile
 likelihood approaches. The model is based on a state-space representation
 for irregularly observed time series data generated from a latent
 continuous-time Ornstein-Uhlenbeck process. Our Bayesian method adopts
 scientifically motivated hyper-prior distributions and a Metropolis-Hastings
 within Gibbs sampler, producing posterior samples of the model parameters
 that include the time delay. A profile likelihood of the time delay is a
 simple approximation to the marginal posterior distribution of the time
 delay. Both Bayesian and profile likelihood approaches complement each
 other, producing almost identical results; the Bayesian way is more
 principled but the profile likelihood is easier to implement. A new
 functionality is added in version 1.0.9 for estimating the time delay
 between doubly-lensed light curves observed in two bands. See also Tak et
 al. (2017) <doi:10.1214/17-AOAS1027>, Tak et al. (2018)
 <doi:10.1080/10618600.2017.1415911>, Hu and Tak (2020) <arXiv:2005.08049>.

Package: r-cran-timedepfrail
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-timedepfrail_0.1.0-1.ca2004.1_all.deb
Size: 258868
MD5sum: a2febd680379ab91f53be15cd599a5b7
SHA1: bf4f9612fad5326e6c2bc4bbf56410bcdffa3cfd
SHA256: c8440344d2c76fc3a490f0131cd35e9893e95c95373f0413f555a2bba829af3b
SHA512: ddc5ef0307a574e8aab9c2a123b0c9203ae1e73c756265082f87edb86559dc82a4a1e175ac7c7353acff375284bab5fa86c0172560adc62a77f84bd92255b1b8
Homepage: https://cran.r-project.org/package=TimeDepFrail
Description: CRAN Package 'TimeDepFrail' (Time Dependent Shared Frailty Cox Model)
 Fits time-dependent shared frailty Cox model (specifically the adapted Paik
 et al.'s Model) based on the paper "Centre-Effect on Survival After Bone
 Marrow Transplantation: Application of Time-Dependent Frailty Models", by
 C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004)
 <doi:10.1002/bimj.200310051>.

Package: r-cran-timedeppar
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-timedeppar_1.0.3-1.ca2004.1_all.deb
Size: 188444
MD5sum: b4c9a617aafa9a41e97c8031f9712b11
SHA1: 88b74fd6f49b70cd79e7e391154f4c0d2cddef3e
SHA256: fd0ffab5909f1549378be240542346b32abd255e74dece238b7638c9ecfc8da9
SHA512: c115651715a8a6dc128d5743ec7eb5825fd22e879ad7de7611ecb1c5a40be5f450d6c812514446b8f1a89e045ee70a7e86f31a794a616d2a49dfd0fb537c1386
Homepage: https://cran.r-project.org/package=timedeppar
Description: CRAN Package 'timedeppar' (Infer Constant and Stochastic, Time-Dependent Model Parameters)
 Infer constant and stochastic, time-dependent parameters to consider
 intrinsic stochasticity of a dynamic model and/or to analyze model structure
 modifications that could reduce model deficits.  The concept is based on
 inferring time-dependent parameters as stochastic processes in the form of
 Ornstein-Uhlenbeck processes jointly with inferring constant model
 parameters and parameters of the Ornstein-Uhlenbeck processes.  The package
 also contains functions to sample from and calculate densities of
 Ornstein-Uhlenbeck processes.  References: Tomassini, L., Reichert, P.,
 Kuensch, H.-R. Buser, C., Knutti, R. and Borsuk, M.E. (2009), A smoothing
 algorithm for estimating stochastic, continuous-time model parameters and
 its application to a simple climate model, Journal of the Royal Statistical
 Society: Series C (Applied Statistics) 58, 679-704,
 <doi:10.1111/j.1467-9876.2009.00678.x> Reichert, P., and Mieleitner, J.
 (2009), Analyzing input and structural uncertainty of nonlinear dynamic
 models with stochastic, time-dependent parameters. Water Resources Research,
 45, W10402, <doi:10.1029/2009WR007814> Reichert, P., Ammann, L. and Fenicia,
 F. (2021), Potential and challenges of investigating intrinsic uncertainty
 of hydrological models with time-dependent, stochastic parameters. Water
 Resources Research 57(8), e2020WR028311, <doi:10.1029/2020WR028311>
 Reichert, P. (2022), timedeppar: An R package for inferring stochastic,
 time-dependent model parameters, in preparation.

Package: r-cran-timeel
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-km.ci, r-cran-prodlim, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timeel_0.9.1-1.ca2004.1_all.deb
Size: 187628
MD5sum: e7ba9352f6f3a3fe5114af96b75c5030
SHA1: 12cfee33aa923994aac530ef432a86d3b9f2e6eb
SHA256: f19ce788a1860952160de1fe279bcc92e7684f9707776c9f67171d5322521313
SHA512: ab5be9450f6aa5ef3d55e324132558628b19dc54942a70d122a0a1d1aabbcbf10b81222199a7cb2f57631503f673cce6984dd3dea018e057f63bd25edc161c39
Homepage: https://cran.r-project.org/package=timeEL
Description: CRAN Package 'timeEL' (Time to Event Analysis via Empirical Likelihood Inference)
 Computation of t-year survival probabilities and t-year risks with right
 censored survival data. The Kaplan-Meier estimator is used to provide
 estimates for data without competing risks and the Aalen-Johansen estimator
 is used when there are competing risks.  Confidence intervals and p-values
 are obtained using either usual Wald-type inference or empirical likelihood
 inference, as described in Thomas and Grunkemeier (1975)
 <doi:10.1080/01621459.1975.10480315> and Blanche (2020)
 <doi:10.1007/s10985-018-09458-6>. Functions for both one-sample and
 two-sample inference are provided. Unlike Wald-type inference, empirical
 likelihood inference always leads to consistent conclusions, in terms of
 statistical significance, when comparing two risks (or survival
 probabilities) via either a ratio or a difference.

Package: r-cran-timeline
Architecture: all
Version: 0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-timeline_0.9-1.ca2004.1_all.deb
Size: 24852
MD5sum: 08f66fa60c16066faa95b9f8a04857ed
SHA1: 5049efca93ba6d6fc3f2b4d43a7b60c50717ef70
SHA256: b7ad8e24a5eadd5f9fe92dde32254dd7f178e5d88eedc86660e27bf33eb615ff
SHA512: d22d052992ad8cbacc481ebda77f432fe77d211092f1825c5cddbb984e7c89f810d8c9502837895e921e5906baddfab79e85a6aee24e0dcaec20ba2f1a011e6a
Homepage: https://cran.r-project.org/package=timeline
Description: CRAN Package 'timeline' (Timelines for a Grammar of Graphics)
 Create timeline plots.

Package: r-cran-timelinegraphics
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 933
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magick, r-cran-berryfunctions, r-cran-r2html, r-cran-pdftools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timelinegraphics_1.0-1.ca2004.1_all.deb
Size: 813872
MD5sum: 7a47d3d0612d7148e4fcb2125246c317
SHA1: 143a9c2cba972a9e0d56f649511523dc86e9ffad
SHA256: c29dce06518ee95fe6e3344ab27953a20a976c25cbd0ec6935a1896564d563dc
SHA512: fb7da2433d2e81a5a0eff505faa9a816b4d9200fc1f2521fe1beda93f3d0692a55c7832c2017d6cb0a481d2a5e4ae9d86cfb6c692f6099eb7656cec53287095c
Homepage: https://cran.r-project.org/package=timeLineGraphics
Description: CRAN Package 'timeLineGraphics' (HTML with Horizontal Strips Symbolizing Events in a Person'sLife)
 Produce an HTML page containing horizontal strips that symbolize events in a
 person's lsife. Since this is entirely a visualization, the image
 <https://barryzee.github.io/henry-timeline/henry.html> will show the basic
 use to show a timeline of events. The image
 <https://barryzee.github.io/vermeer/cssOverlay.html> shows how to correlate
 two timelines of events. A brief description is available at
 <https://barryzee.github.io/timeLineGraphics_manuscript/golden_age.html>.

Package: r-cran-timeliner
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 956
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang, r-cran-dplyr, r-cran-lubridate, r-cran-stringr, r-cran-futile.logger, r-cran-ggplot2, r-cran-gtable, r-cran-mtconnectr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-timeliner_1.0.0-1.ca2004.1_all.deb
Size: 640936
MD5sum: 65b01174f1ebf55e84a325b93fd323c9
SHA1: 121db3c7c12af9e5596fabeff55dc87b13ec95ed
SHA256: 5692dc5ff38b5ea3b6fe66a0c17b4d53c7a3883279cb0d8fbab900f41b3bc3a4
SHA512: e2426199d5e1b47f74dafbddf9289660aa7978fafef91c890e3d1d05b1d293d3f8f49b30acfa0b7f6dbe4e1dfd27312666a91a7e55bbd6a8fd4b87f06df89541
Homepage: https://cran.r-project.org/package=timelineR
Description: CRAN Package 'timelineR' (Visualization for Time Series Data)
 Helps to visualize multi-variate time-series having numeric and factor
 variables.  You can use the package for visual analysis of data by plotting
 the data for each variable in the desired order and study interaction
 between a factor and a numeric variable by creating overlapping plots.

Package: r-cran-timelines
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-lubridate, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-timelines_0.1.1-1.ca2004.1_all.deb
Size: 56256
MD5sum: e01e126a84ee0b6e18097870dbba96a0
SHA1: ce6c7fbae25dd2cc246ac8c314e569ed0b99837d
SHA256: a612db6f5c6bf072da2d58f0cec7e1a4429f689d06a0386b961991d33278eacf
SHA512: 1dc87ecae3d9a1e31b14573e637eccde6c6048a87ed1ed6f77958ba1ef20c2b58e07f8c26d9f204b972fb0f90c2cb855f484bb343de975e8b3dab704db6b40b3
Homepage: https://cran.r-project.org/package=timelineS
Description: CRAN Package 'timelineS' (Timeline and Time Duration-Related Tools)
 An easy tool for plotting annotated timelines, grouped timelines, and
 exploratory graphics (boxplot/histogram/density plot/scatter plot/line
 plot). Filter, summarize date data by duration and convert to calendar
 units.

Package: r-cran-timeordered
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-igraph, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-timeordered_1.0.1-1.ca2004.1_all.deb
Size: 112736
MD5sum: fbe335b4a732d2214df8b5329e6336e2
SHA1: 21010cca8b5579907a14631a5f4a8819472923d6
SHA256: b20823cadc4b28799d4aeb6df315843126c1267c705414873cbe35d6184221c0
SHA512: 24daac684ffe7dedaa9cd5b5f7873deaacc2079f9047b60b77bcf2c106ca26cafa00f9b5aee3ddc7dc1201ee5fc509ecd5831faa94ef00e10c434ffdc8b89a61
Homepage: https://cran.r-project.org/package=timeordered
Description: CRAN Package 'timeordered' (Time-Ordered and Time-Aggregated Network Analyses)
 Approaches for incorporating time into network analysis. Methods include:
 construction of time-ordered networks (temporal graphs); shortest-time and
 shortest-path-length analyses; resource spread calculations; data resampling
 and rarefaction for null model construction; reduction to time-aggregated
 networks with variable window sizes; application of common descriptive
 statistics to these networks; vector clock latencies; and plotting
 functionalities. The package supports <doi:10.1371/journal.pone.0020298>.

Package: r-cran-timeperiodsr
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 787
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-httr
Filename: pool/dists/focal/main/r-cran-timeperiodsr_0.7.3-1.ca2004.1_all.deb
Size: 547988
MD5sum: d47e87696f34ccd9486dde29c2da2dc8
SHA1: e291a4bb9ebaa78cb18d4e2d998ded654517288f
SHA256: 5b72bbe9aea647208389a7c430388802efb3b7c9dfe7633fc882960182cc0673
SHA512: 157b57613e70cc7702b1015eba581828ea6418434e5af1e20ac11732caddf8f2c79bcf9b47b09192c5a732f10d2f1bb881b331513c6d06c83803a805056e2466
Homepage: https://cran.r-project.org/package=timeperiodsR
Description: CRAN Package 'timeperiodsR' (Simple Definition Of Time Intervals)
 Simple definition of time intervals for the current, previous, and next
 week, month, quarter and year.

Package: r-cran-timeprojection
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-timedate, r-cran-matrix
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-ggplot2, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-timeprojection_0.2.0-1.ca2004.1_all.deb
Size: 19068
MD5sum: de0b846a5e4ee1336a7095973e0f9a95
SHA1: 842940a6cd7cce716b3988ab14dd9f667f8e3af3
SHA256: 76954b0b2abb916d398fcf519cdfedc10d71220c7f5d99bd19c8ef905ef1a25f
SHA512: c51b597651bd6cf0a5c5c79403cc63e314fd7d11ae878786a8f8305b6a72ddd882ab3da3ef52d6e1fa66fca130fb95fe72de275a5b0f4f179fdaafc7905f709b
Homepage: https://cran.r-project.org/package=TimeProjection
Description: CRAN Package 'TimeProjection' (Time Projections)
 Extract useful time components of a date object, such as day of week,
 weekend, holiday, day of month, etc, and put it in a data frame.  This can
 be used to create many predictor variables out of a single time variable,
 which can then be used in a regression or decision tree.  Also includes
 function plotCalendarHeatmap which draws a calendar and overlays a heatmap
 based on values.

Package: r-cran-timer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timer_1.2.0-1.ca2004.1_all.deb
Size: 58708
MD5sum: b29a6f5d4ea6fe8a51a7f78b8b90375e
SHA1: 866412b86b37b3d4c776a7c88e0badfeae0bfeb5
SHA256: 25d484430c66301a1899bcbc91d345413027a743dc49a5ac15f448b02e5f0e3d
SHA512: 1dd71f7de56198d5bddafaa432a1db3e0bfc0245bba6be6a8e9a54852b6dd1299af58df8c363a12fcd504e9f2051f3545f224929c9d9f102cf7e2c090de80f2b
Homepage: https://cran.r-project.org/package=timeR
Description: CRAN Package 'timeR' (Time Your Codes)
 Provides a 'timeR' class that makes timing codes easier. One can create
 'timeR' objects and use them to record all timings, and extract recordings
 as data frame for later use.

Package: r-cran-timeroc
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pec, r-cran-mvtnorm
Suggests: r-cran-survival, r-cran-timereg
Filename: pool/dists/focal/main/r-cran-timeroc_0.4-1.ca2004.1_all.deb
Size: 168404
MD5sum: 0a71871105acda64972b3d45d10e7f22
SHA1: 4cc5a46f0cbe739e9fdb98163aa7ca43edb9a3e0
SHA256: 9aa7528c0e64ded8606cbe3ce8c735862b685755578326eb5ffca61e07adbbd9
SHA512: e37e0e1f343e8c4a56787f9ff2e637976935356c2197a4efccc2a1d86a4507644a23b3d6eba4d3652b7c061c08b906f323042ece9b69a9df7008e5bd756cde51
Homepage: https://cran.r-project.org/package=timeROC
Description: CRAN Package 'timeROC' (Time-Dependent ROC Curve and AUC for Censored Survival Data)
 Estimation of time-dependent ROC curve and area under time dependent ROC
 curve (AUC) in the presence of censored data, with or without competing
 risks. Confidence intervals of AUCs and tests for comparing AUCs of two
 rival markers measured on the same subjects can be computed, using the
 iid-representation of the AUC estimator. Plot functions for time-dependent
 ROC curves and AUC curves are provided. Time-dependent Positive Predictive
 Values (PPV) and Negative Predictive Values (NPV) can also be computed. See
 Blanche et al. (2013) <doi:10.1002/sim.5958> and references therein for the
 details of the methods implemented in the package.

Package: r-cran-timesboot
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-boot
Filename: pool/dists/focal/main/r-cran-timesboot_1.0-1.ca2004.1_all.deb
Size: 22524
MD5sum: 93274bb875d910d90aeb859dd6279386
SHA1: 6c1005c140a679816ce72ddc9aac61070364a82d
SHA256: 307c85671aff552edc46b578abf02dfcf9b9791e660e6482ade621666e81dfd4
SHA512: 271f37f098046e789f0a9952176205d54b344d99afb6a512cfab83da7b89184bf986a7ea0a6a430a60e06ee1aeb053d6cca3e8b9b950bb5352bdb118692ff841
Homepage: https://cran.r-project.org/package=timesboot
Description: CRAN Package 'timesboot' (Bootstrap computations for time series objects)
 Computes bootstrap CI for the sample ACF and periodogram

Package: r-cran-timeseq
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gss, r-cran-mgcv, r-cran-lattice, r-cran-pheatmap, r-cran-reshape
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-timeseq_1.0.4-1.ca2004.1_all.deb
Size: 64408
MD5sum: 7afbaaa2428766c2ca2798072bf22b0c
SHA1: eb121c145a6b5a4d041951212afa32e8f30a9da0
SHA256: 4fa3a29c5240f9d73f7ad6ec818c907daf664918beb3de2476984beee93f06c8
SHA512: e9343e085018fc77f6d1652ec1f9fb9977e2e934d50d9adc9da8f255e5a6f04061df10903eb696036c37a7fc79d8231a7dbe832692c650cad635c182859fb7f0
Homepage: https://cran.r-project.org/package=timeSeq
Description: CRAN Package 'timeSeq' (Detecting Differentially Expressed Genes in Time Course RNA-SeqData)
 A negative binomial mixed-effects (NBME) model to detect nonparallel
 differential expression(NPDE) genes and parallel differential
 expression(PDE) genes in the time course RNA-seq data.

Package: r-cran-timeseries.obeu
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-locfit, r-cran-jsonlite, r-cran-trend, r-cran-tseries
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-timeseries.obeu_1.2.4-1.ca2004.1_all.deb
Size: 83708
MD5sum: 430528089c1b76c2dec96df164525314
SHA1: be2f8c9137e80a3de9e855d175dc47e3f83afdc9
SHA256: c9b0228b289f2e38d8162bfcea5c3359af7f760cc5f28f9691e6b6e177bf5840
SHA512: 852d4db8529cf8d6ec25d4e392bd0dab5229ff6577f851ecf1b221315d75caff970f4512238baeb9c9339150ab87f9535cb576b9fc0132269f97156c9d40bab8
Homepage: https://cran.r-project.org/package=TimeSeries.OBeu
Description: CRAN Package 'TimeSeries.OBeu' (Time Series Analysis 'OpenBudgets.eu')
 Estimate and return the needed parameters for visualizations designed for
 'OpenBudgets.eu' <http://openbudgets.eu/> time series data. Calculate time
 series model and forecast parameters in budget time series data of
 municipalities across Europe, according to the 'OpenBudgets.eu' data model.
 There are functions for measuring deterministic and stochastic trend of the
 input time series data with 'ACF', 'PACF', 'Phillips Perron' test,
 'Augmented Dickey Fuller (ADF)' test, 'Kwiatkowski-Phillips-Schmidt-Shin
 (KPSS)' test, 'Mann Kendall' test for monotonic trend and 'Cox and Stuart'
 trend test, decomposing with local regression models or 'stl' decomposition,
 fitting the appropriate 'arima' model and provide forecasts for the input
 'OpenBudgets.eu' time series fiscal data. Also, can be used generally to
 extract visualization parameters convert them to 'JSON' format and use them
 as input in a different graphical interface.

Package: r-cran-timeseries
Architecture: all
Version: 4041.111-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2540
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-timedate
Suggests: r-cran-runit, r-cran-robustbase, r-cran-xts, r-cran-zoo, r-cran-performanceanalytics, r-cran-ftrading
Filename: pool/dists/focal/main/r-cran-timeseries_4041.111-1.ca2004.1_all.deb
Size: 1900812
MD5sum: 184e7d963c8e67be7a221077db46905e
SHA1: ffd3b128de109c06074bcd8053f4f7ab8ca002b3
SHA256: f2989033a55f75856138ea32b4bba44cf2dddbae81258160f26f00edb9f4e0d8
SHA512: e92ff78f6204bcaf7ebfdcc80505a184f3c508dbd91256595a7b21ef8fe37376c38c1c9e3c3f7d355ecee18cc1c6fd3e9c0179702ef618c6d62bb9ceddb01a4d
Homepage: https://cran.r-project.org/package=timeSeries
Description: CRAN Package 'timeSeries' (Financial Time Series Objects (Rmetrics))
 'S4' classes and various tools for financial time series: Basic functions
 such as scaling and sorting, subsetting, mathematical operations and
 statistical functions.

Package: r-cran-timeseriesdatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2141
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timeseriesdatasets_0.1.0-1.ca2004.1_all.deb
Size: 849256
MD5sum: 30d8bd782b46e688dee55db4fd8cd7a2
SHA1: 435cb8c6662f912f483bd0f2b5e99bedf8163d95
SHA256: 6262ff001094b6165d21dff722281e1de39e9faa9b8e0c955f17e839fc4bbcf0
SHA512: 68da6780075818d071a8726e17953b304ccc7be656e639c771191a9a492938ae34aa06fab30c43f4fc3e8ce401e0de04677d3575784daa1450f9b2dd4fca42be
Homepage: https://cran.r-project.org/package=timeSeriesDataSets
Description: CRAN Package 'timeSeriesDataSets' (Time Series Data Sets)
 Provides a diverse collection of time series datasets spanning various
 fields such as economics, finance, energy, healthcare, and more.  Designed
 to support time series analysis in R by offering datasets from multiple
 disciplines, making it a valuable resource for researchers and analysts.

Package: r-cran-timeseriesdb
Architecture: all
Version: 1.0.0-1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1498
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpostgres, r-cran-jsonlite, r-cran-data.table, r-cran-xts, r-cran-dbi
Suggests: r-cran-openxlsx, r-cran-rstudioapi, r-cran-dygraphs, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-timeseriesdb_1.0.0-1.1.2-1.ca2004.1_all.deb
Size: 589200
MD5sum: 55a2f34bbc29a3edf2cea71364a4cd72
SHA1: 86b2bdc92a3edbe25b0b4500e4b6f9f61d152008
SHA256: 664dd213666cb5f103d1dfe8e99e858c53e88e02036f689c58601783afd6aa95
SHA512: 1e302eeb55f63384c1f549f1cdad2caf08d3977863c44236d43b06e27c7e6969d780841f54de2cbcb77c833c2c905ff0c54af23652920526b527e59b77ac5c15
Homepage: https://cran.r-project.org/package=timeseriesdb
Description: CRAN Package 'timeseriesdb' (A Time Series Database for Official Statistics with R andPostgreSQL)
 Archive and manage times series data from official statistics. The
 'timeseriesdb' package was designed to manage a large catalog of time series
 from official statistics which are typically published on a monthly,
 quarterly or yearly basis. Thus timeseriesdb is optimized to handle updates
 caused by data revision as well as elaborate, multi-lingual meta
 information.

Package: r-cran-timetk
Architecture: all
Version: 2.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4165
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-recipes, r-cran-rsample, r-cran-dplyr, r-cran-ggplot2, r-cran-forcats, r-cran-stringr, r-cran-plotly, r-cran-lubridate, r-cran-padr, r-cran-purrr, r-cran-readr, r-cran-stringi, r-cran-tibble, r-cran-tidyr, r-cran-xts, r-cran-zoo, r-cran-rlang, r-cran-tidyselect, r-cran-slider, r-cran-anytime, r-cran-timedate, r-cran-forecast, r-cran-tsfeatures, r-cran-hms, r-cran-generics
Suggests: r-cran-modeltime, r-cran-glmnet, r-cran-workflows, r-cran-parsnip, r-cran-tune, r-cran-knitr, r-cran-rmarkdown, r-cran-broom, r-cran-scales, r-cran-testthat, r-cran-fracdiff, r-cran-timeseries, r-cran-tseries, r-cran-trelliscopejs
Filename: pool/dists/focal/main/r-cran-timetk_2.9.0-1.ca2004.1_all.deb
Size: 3142312
MD5sum: c66e2cf45db2e5069d2be06b6c9893cf
SHA1: 5809c4a21fb5a80f67b8e501b0eb894972b4eb27
SHA256: c57af99ed25f233c458ab348d1f5bfd9cf78dff503dcfc24a7e505879bc7d974
SHA512: aea82791fe4385f9de60381bd3006ae858d692683ee8c1c7bbf279d02dadf8a4ee5d73ee7f62646ac13eacda64db68d159e04d5afb08f0d9fc4591a1e2eceead
Homepage: https://cran.r-project.org/package=timetk
Description: CRAN Package 'timetk' (A Tool Kit for Working with Time Series)
 Easy visualization, wrangling, and feature engineering of time series data
 for forecasting and machine learning prediction. Consolidates and extends
 time series functionality from packages including 'dplyr', 'stats', 'xts',
 'forecast', 'slider', 'padr', 'recipes', and 'rsample'.

Package: r-cran-timetree
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-phangorn
Filename: pool/dists/focal/main/r-cran-timetree_1.0-1.ca2004.1_all.deb
Size: 27084
MD5sum: 498fabd60323f9f4dd8fad473168ad69
SHA1: 53075fe8c72e7b4170143e827d0941032977caaa
SHA256: ee13e64173fa79c2f4736b401c261d9005cd5571155f2b6906c6158c519d2118
SHA512: 709163489f6f00facd93bfb9abf183f93e881c16649567d9a9586d6262fcdb1617a44b652a861eb8564ea3d9bdb02eeff73d7aa96474718c6ea1f3d46c343525
Homepage: https://cran.r-project.org/package=timetree
Description: CRAN Package 'timetree' (Interface to the TimeTree of Life Webpage)
 A interface to the TimeTree of Life Webpage (www.timetree.org). TimeTree is
 a public database for information on the evolutionary timescale of life.
 This package includes functions for searching divergence time for taxa or
 all nodes of a phylogeny.

Package: r-cran-timevarconcurrentmodel
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-bolstad2, r-cran-fda
Filename: pool/dists/focal/main/r-cran-timevarconcurrentmodel_1.0-1.ca2004.1_all.deb
Size: 31276
MD5sum: 2559bd4321e30c0220ac1ba70c4a5a6d
SHA1: 0e4f31e1ba14883a31589f6f552f88a880de6335
SHA256: a8fefc5485d5ba94b50632baff2982dcc180b038245708cc6831cff160baa469
SHA512: c18f0548580f67677cea33b20e6f84f31091d2ca7f4e6c8541070a124cabcc58950fb8cae8bf83e482d9c656de32f0a292f1d12261ad54fcb4dcec74a5924e33
Homepage: https://cran.r-project.org/package=TimeVarConcurrentModel
Description: CRAN Package 'TimeVarConcurrentModel' (Concurrent Multivariate Models with Time-Varying Coefficients)
 Provides a hypothesis test and variable selection algorithm for use in
 time-varying, concurrent regression models. The hypothesis test function is
 also accompanied by a plotting function which will show the estimated
 beta(s) and confidence band(s) from the hypothesis test. The hypothesis test
 function helps the user identify significant covariates within the scope of
 a time-varying concurrent model. The plots will show the amount of area that
 falls outside the confidence band(s) which is used for the test statistic
 within the hypothesis test.

Package: r-cran-timevarcorr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lpridge
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-timevarcorr_0.1.1-1.ca2004.1_all.deb
Size: 362436
MD5sum: 05d25ce266cea6c927eb765c21b29a44
SHA1: b1e2d5f10d1860003a18322938652bcf67ae42ce
SHA256: 60bf122352a1d17283a3fcb212c0dd9614c2f5ba20d1a39e9bd8e67c1121b464
SHA512: 0fed4886fe85ee5b0a5562c18833e7a507f2bb54af038ec0d7dce763f570e46c707ecbc0dbc582f76548a123322ff6edc66460836cbf04f3a983f716db7b9b6d
Homepage: https://cran.r-project.org/package=timevarcorr
Description: CRAN Package 'timevarcorr' (Time Varying Correlation)
 Computes how the correlation between 2 time-series changes over time.  To do
 so, the package follows the method from Choi & Shin (2021)
 <doi:10.1007/s42952-020-00073-6>.  It performs a non-parametric kernel
 smoothing (using a common bandwidth) of all underlying components required
 for the computation of a correlation coefficient (i.e., x, y, x^2, y^2, xy).
 An automatic selection procedure for the bandwidth parameter is implemented.
 Alternative kernels can be used (Epanechnikov, box and normal).  Both
 Pearson and Spearman correlation coefficients can be estimated and change in
 correlation over time can be tested.

Package: r-cran-timevis
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1051
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets, r-cran-jsonlite, r-cran-magrittr, r-cran-rmarkdown, r-cran-shiny
Suggests: r-cran-lubridate, r-cran-testthat, r-cran-shinydisconnect
Filename: pool/dists/focal/main/r-cran-timevis_2.1.0-1.ca2004.1_all.deb
Size: 529908
MD5sum: d0e8849129cca1b67d2de7b6d03be8f0
SHA1: 87853988b0ec5c81f4cbb759a9e39aa8bdcd33e1
SHA256: 7bf38b8bd17be7ec6d26c97bb0e77fe81cd728e30cde7b53fb79a1e54f8ece93
SHA512: df25c2c555c601e24be10010aae005d0b15ff4f1af06a143ce0878895b8facf63904272976b01e554adb7b5f9f8b2a96700661a0d5af13d87526d57fc744ff08
Homepage: https://cran.r-project.org/package=timevis
Description: CRAN Package 'timevis' (Create Interactive Timeline Visualizations in R)
 Create rich and fully interactive timeline visualizations.  Timelines can be
 included in Shiny apps or R markdown documents.  'timevis' includes an
 extensive API to manipulate a timeline after creation, and supports getting
 data out of the visualization into R. Based on the 'vis.js' Timeline
 JavaScript library.

Package: r-cran-timevizpro
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-countrycode, r-cran-sparkline, r-cran-ggplot2, r-cran-ggiraph, r-cran-dplyr
Suggests: r-cran-openxlsx, r-cran-htmltools, r-cran-htmlwidgets, r-cran-dt
Filename: pool/dists/focal/main/r-cran-timevizpro_1.0.1-1.ca2004.1_all.deb
Size: 38900
MD5sum: 251a9f5390f8f5abe7c9521b79eb4a18
SHA1: b8c01c0063d57ebc7ab2ef2cfec0c7025bcb2733
SHA256: 45973456e9f5bd8453a61d8c2d446d20c1aa5bc87c056afd1fca5951557d943c
SHA512: 7f07531aba89d80084ed6f401b3df15aa98956450d4cf8a0f77162b9ce4cc657ad6462b9380f571443902aca5261ca30ce0b25bd73a6c1d43761b166aed0c07c
Homepage: https://cran.r-project.org/package=TimeVizPro
Description: CRAN Package 'TimeVizPro' (Dynamic Data Explorer: Visualize and Forecast with 'TimeVizPro')
 Unleash the power of time-series data visualization with ease using our
 package. Designed with simplicity in mind, it offers three key features
 through the 'shiny' package output. The first tab shows time- series charts
 with forecasts, allowing users to visualize trends and changes effortlessly.
 The second one displays Averages per country presented in tables with
 accompanying sparklines, providing a quick and attractive overview of the
 data. The last tab presents A customizable world map colored based on
 user-defined variables for any chosen number of countries, offering an
 advanced visual approach to understanding geographical data distributions.
 This package operates with just a few simple arguments, enabling users to
 conduct sophisticated analyses without the need for complex programming
 skills. Transform your time-series data analysis experience with our
 user-friendly tool.

Package: r-cran-timevtree
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 154
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-timevtree_0.3.1-1.ca2004.1_all.deb
Size: 124564
MD5sum: e99950e6dea8edee5dea44aad00e9451
SHA1: ef17402f59518b34c8c581a21563edfbcc6ca997
SHA256: 5da0db6b6b11ebeb5fc2a589b1eb31d4bbb14c289eccd8c27e1162e587324f3a
SHA512: ddad4803add4b268d804d1dfc29b41e9a57b4d393adb6d7be7b8d1a04544e774a735523cc6693db01992019f3068956611f12e8d3e5bef43540b035629814fbc
Homepage: https://cran.r-project.org/package=TimeVTree
Description: CRAN Package 'TimeVTree' (Survival Analysis of Time Varying Coefficients Using aTree-Based Approach)
 Estimates time varying regression effects under Cox type models in survival
 data using classification and regression tree. The codes in this package
 were originally written in S-Plus for the paper "Survival Analysis with
 Time-Varying Regression Effects Using a Tree-Based Approach," by Xu, R. and
 Adak, S. (2002) <doi:10.1111/j.0006-341X.2002.00305.x>, Biometrics, 58:
 305-315.  Development of this package was supported by NIH grants AG053983
 and AG057707, and by the UCSD Altman Translational Research Institute, NIH
 grant UL1TR001442.  The content is solely the responsibility of the authors
 and does not necessarily represent the official views of the NIH.  The
 example data are from the Honolulu Heart Program/Honolulu Asia Aging Study
 (HHP/HAAS).

Package: r-cran-timsr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-opentimsr, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-timsr_0.0.3-1.ca2004.1_all.deb
Size: 46280
MD5sum: 94af7975c310c39c942607d86420d65a
SHA1: e0f78f86927249869030a07ef077e6fc93996dbc
SHA256: 6063ba95742abc722b66eb89cd8cb91b8ee0ec1d0cc917d25a6bb27b39d59bc5
SHA512: fc5b81de46e2ede906047420c1bf18c23c810ffbdce6e0fc63808708a7cee349301938493296ddd9fc54daf0e364753af060f7569bc9e698b7a4c88a8e3f0c23
Homepage: https://cran.r-project.org/package=timsr
Description: CRAN Package 'timsr' (Easily Access timsTOF Data)
 Access 'timsTOF' mass spectrometry data, as described
 <https://sso.bruker.com/auth/realms/bruker/protocol/openid-connect/auth?client_id=aem-bruker.com&redirect_uri=https%3A%2F%2Fwww.bruker.com%2Fen.login.html%3FtargetUrl%3Dhttps%3A%2F%2Fwww.bruker.com%2Fen%2Fservices%2Fsoftware-downloads%2Fmass-spectrometry.html&response_type=id_token%20token&scope=openid%20profile&state=4f9d225e92f341cca3b03a55533dbd65&nonce=f550633b1e984ecfb07979ae6d9277b4&ui_locales=en>
 (after registering), using the 'OpenTIMS' C++ reader and save all into
 'data.tables'.

Package: r-cran-tinkr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 336
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-commonmark, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-xml2, r-cran-xslt
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tinkr_0.3.0-1.ca2004.1_all.deb
Size: 207120
MD5sum: 0642206812dbe8330c28acf520fbc2ee
SHA1: 0032ee94de63d57198bb29e3090169c2cd59f0f3
SHA256: 20bf2cfb8dc7ea57c83135da320ff2f899a65f9edaeb2ddfd99cf7c89b65fda0
SHA512: 00c57881d8a88b925bb3c751dc68e5208d5b0331ae77f09bccc7ff60640e426abbf19c141520a9f45cd82f402d5a797d28111d858f7b6d777733148c68e7574b
Homepage: https://cran.r-project.org/package=tinkr
Description: CRAN Package 'tinkr' (Cast '(R)Markdown' Files to 'XML' and Back Again)
 Parsing '(R)Markdown' files with numerous regular expressions can be fraught
 with peril, but it does not have to be this way. Converting '(R)Markdown'
 files to 'XML' using the 'commonmark' package allows in-memory editing via
 of 'markdown' elements via 'XPath' through the extensible 'R6' class called
 'yarn'. These modified 'XML' representations can be written to '(R)Markdown'
 documents via an 'xslt' stylesheet which implements an extended version of
 'GitHub'-flavoured 'markdown' so that you can tinker to your hearts content.

Package: r-cran-tinsel
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-tinsel_0.0.1-1.ca2004.1_all.deb
Size: 30476
MD5sum: 31de9dd0079fc78b8775f57a574262d9
SHA1: 70dd479b5f62c2ee1c2a892dc2ea1af70951d88e
SHA256: 4225505c748909d9d4b6f7985c6a367c771f7a6159dd8b70772c954a006e865e
SHA512: 356bbf5b2db01db7d0baeb458dac8997217591ccfc856a3809679bb15ee5e67209f71c812b800de14d52b8c308aa75a6e789e7406abe9ea8653617f3a30e8f82
Homepage: https://cran.r-project.org/package=tinsel
Description: CRAN Package 'tinsel' (Transform Functions using Decorators)
 Instead of nesting function calls, annotate and transform functions using
 "#." comments.

Package: r-cran-tint
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3113
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tint_0.1.5-1.ca2004.1_all.deb
Size: 1330112
MD5sum: c7e95e7c22c136bd9477d887e9114dfe
SHA1: b6074f0cdb553a2268a1de2e5ca7376d2b035250
SHA256: 9792a10a9ce4dbd45f689a6c85c77f97baf4f2e41c755437d023e577837e5bde
SHA512: 4f71d3f6129b154bfcec4e734abcf2f06376b050479c7513c6aae0924fde0d9045ba2eff9678fa9fe942015178a86d971a0111a3ca147129c164a3ebcc5aa0e7
Homepage: https://cran.r-project.org/package=tint
Description: CRAN Package 'tint' ('tint' is not 'Tufte')
 A 'tufte'-alike style for 'rmarkdown'.  A modern take on the 'Tufte' design
 for pdf and html vignettes, building on the 'tufte' package with additional
 contributions from the 'knitr' and 'ggtufte' package, and also acknowledging
 the key influence of 'envisioned css'.

Package: r-cran-tinter
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chk
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tinter_0.1.0-1.ca2004.1_all.deb
Size: 375260
MD5sum: d971c2ceb4600911ed343812bc9efc84
SHA1: 3cc35e314258ac512b85ffc852335d09b8f116a4
SHA256: 5457fb2b37283e833fe3985147abe66fe9a16d90c39c621e12bb6d6a9694462c
SHA512: 745021d3e5efe4ad8a81a684bdd5dacbacd6dc867623794b9dc27e059e664686bbf0fa869696c8e28e1ce1d74101f5a6acec91de90b93adc619c02afdd93af9c
Homepage: https://cran.r-project.org/package=tinter
Description: CRAN Package 'tinter' (Generate a Monochromatic Palette)
 Generate a palette of tints, shades or both from a single colour.

Package: r-cran-tintin
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1915
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-scales, r-cran-tidyr
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-tintin_0.2-1.ca2004.1_all.deb
Size: 1450344
MD5sum: c3b04a8c4a27ebc7c8ac99fc13c4cf39
SHA1: 01f79a8f5e90c1acf6c7f687e6fe5c3e4381cd71
SHA256: 05d50c9d8cb48cb49ad43225bf2cbdf9c0c3953b9878270db910c8fbd8426d9e
SHA512: 7ea576becdcfc5398443e2b81a25cc63680bc8a47d76e2d674a6fc9d547838b53e89876a59c51b396e347726ad91c13b336734f7ba53039b2c48789cae007fc6
Homepage: https://cran.r-project.org/package=tintin
Description: CRAN Package 'tintin' (Tintin Palette Generator)
 Palettes generated from Tintin covers. There is one palette per cover, with
 a total of 24 palettes of 5 colours each. Includes functions to interpolate
 colors in order to create more colors based on the provided palettes.The
 data is based on Cyr, et al. (2004) <doi:10.1503/cmaj.1041405> and Wikipedia
 <https://en.wikipedia.org/wiki/The_Adventures_of_Tintin>.

Package: r-cran-tinyarray
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2256
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-biocmanager, r-bioc-clusterprofiler, r-cran-dplyr, r-bioc-limma, r-cran-stringr, r-cran-tibble, r-cran-pheatmap, r-cran-ggplot2, r-cran-survival, r-cran-hmisc, r-cran-survminer, r-cran-patchwork
Suggests: r-cran-testthat, r-cran-annoprobe, r-bioc-geoquery, r-bioc-biobase, r-cran-venndiagram, r-cran-factominer, r-cran-factoextra, r-cran-knitr, r-cran-rmarkdown, r-cran-cowplot, r-cran-ggpubr, r-cran-ggplotify, r-cran-tidyr, r-cran-labeling, r-cran-rtsne, r-cran-scatterplot3d, r-bioc-complexheatmap, r-cran-circlize, r-bioc-org.rn.eg.db, r-bioc-org.mm.eg.db, r-bioc-org.hs.eg.db
Filename: pool/dists/focal/main/r-cran-tinyarray_2.4.3-1.ca2004.1_all.deb
Size: 2253468
MD5sum: b33199e12a5bc3181043a62963b54cd5
SHA1: 6f151d266164f46dc1bd9ce6bfb35bb218ee401d
SHA256: 2a5b68ebede999a3eb16abc1c231d9bc5bcea7dce702f2375e3830a1a40dc3e6
SHA512: e7e45b4b0825cb4aecaaeac2df428f40ee25ac9473d1b672bf907d8fad4af048a9afacb7e5973bc88ae8de90b489f7f8b4e613c47d96d677e0978ac76dd1e62c
Homepage: https://cran.r-project.org/package=tinyarray
Description: CRAN Package 'tinyarray' (Expression Data Analysis and Visualization)
 The Gene Expression Omnibus (<https://www.ncbi.nlm.nih.gov/geo/>) and The
 Cancer Genome Atlas (<https://portal.gdc.cancer.gov/>) are widely used
 medical public databases. Our platform integrates routine analysis and
 visualization tools for expression data to provide concise and intuitive
 data analysis and presentation.

Package: r-cran-tinylabels
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-vctrs, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tinylabels_0.2.5-1.ca2004.1_all.deb
Size: 59876
MD5sum: 209a256a78ba4c879ac36db4da14ef55
SHA1: f2351244bdb7ad253a360c9606c69119f0c6c6e5
SHA256: d075d9dc03241720d46eb50f4d412cdcc05b8dc2cedfd0fac9bb9dbbe36f5df7
SHA512: bbf715448af85db89a89f48a71e78a7ff537c3affb7b7aa4a7e91f61f6bf05e1b2ae64583f36c30901243bcae37912fad2c531f081982476f8eea8894b1deb35
Homepage: https://cran.r-project.org/package=tinylabels
Description: CRAN Package 'tinylabels' (Lightweight Variable Labels)
 Assign, extract, or remove variable labels from R vectors.  Lightweight and
 dependency-free.

Package: r-cran-tinylens
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-s7, r-cran-vctrs
Suggests: r-cran-tidyselect, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tinylens_0.1.0-1.ca2004.1_all.deb
Size: 72996
MD5sum: 37baa2f73171efc3a6ea037da8997313
SHA1: c1084b28f6ff099cbde57e915ab310fde9795049
SHA256: 0347c70a0dda9f7c266c8d1fe96bb961bd4605eb19f2fc7d95ae682ae64219fb
SHA512: fcb94cf53c566acccd0954acefed3d9032b518c142f0392064df5f42c22b99edb3368a70b9c2a1ee0cdd5cd53b8f85d1320d4d6a1eafabb5fa7df64f2723b022
Homepage: https://cran.r-project.org/package=tinylens
Description: CRAN Package 'tinylens' (Minimal Implementation of Functional Lenses)
 Provides utilities to create and use lenses to simplify data manipulation.
 Lenses are composable getter/setter pairs that provide a functional approach
 to manipulating deeply nested data structures, e.g., elements within list
 columns in data frames. The implementation is based on the earlier 'lenses'
 R package <https://github.com/cfhammill/lenses>, which was inspired by the
 Haskell 'lens' package by Kmett (2012) <https://github.com/ekmett/lens>, one
 of the most widely referenced implementations of lenses. For additional
 background and history on the theory of lenses, see the 'lens' package wiki:
 <https://github.com/ekmett/lens/wiki/History-of-Lenses>.

Package: r-cran-tinyplot
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1365
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-altdoc, r-cran-fontquiver, r-cran-png, r-cran-rsvg, r-cran-svglite, r-cran-tinytest, r-cran-tinysnapshot, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tinyplot_0.4.1-1.ca2004.1_all.deb
Size: 1245288
MD5sum: 7ce04781abde4997372974c7ef0c9d18
SHA1: a38b2481468bd2fb5def7ede3ec2cc9b14796034
SHA256: 8134c347f676de24dd1cf9116f0bf74fba06c5fc1890167adb795d7105781e3b
SHA512: fb2183280fc11afa6ef29951408fac9eb68723de3a69bb04ab448a8f3f370ad494d51acab9c6e6c6b45b4f09c027d90b294354e99a8205f8b525b56a1f772369
Homepage: https://cran.r-project.org/package=tinyplot
Description: CRAN Package 'tinyplot' (Lightweight Extension of the Base R Graphics System)
 Lightweight extension of the base R graphics system, with support for
 automatic legends, facets, themes, and various other enhancements.

Package: r-cran-tinyproject
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-brew, r-cran-r.utils
Suggests: r-cran-testthat, r-cran-remotes, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tinyproject_0.6.1-1.ca2004.1_all.deb
Size: 71560
MD5sum: 81adc55e572a38f074904dd102d9a03e
SHA1: c1266faf755ecf0bb40ffac7f963f120481999bf
SHA256: 44e8a60dcbdb3026af5b6975a616ee8f41ff41e14b4038ab9b71218df7a92b10
SHA512: 6c2f4149313c43bf41be7997ed2549e2dc72ca11c7af3669958d2300f293a120ec2e543a43088c656a97a89787b101cddddf41cdff59bd1a41a24fb3995f26d6
Homepage: https://cran.r-project.org/package=tinyProject
Description: CRAN Package 'tinyProject' (A Lightweight Template for Data Analysis Projects)
 Creates useful files and folders for data analysis projects and provides
 functions to manage data, scripts and output files. Also provides a project
 template for 'Rstudio'.

Package: r-cran-tinyscholar
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-xml2, r-cran-r.utils
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-tinyscholar_0.1.7-1.ca2004.1_all.deb
Size: 79492
MD5sum: ffeb57b72ebc9d9fb95d575c2e42877b
SHA1: 8ad08a3287f2e263926a9bcfa8f84f9b682f2c3f
SHA256: ce11fed1abfb6fb8964e8a1af7f494d6e434b306fc467a754e137909fef38328
SHA512: a16ab61b2fe5352a3671456757dbe1aa04c6a72e7d74ee788bb701beece3548c21a3ddf69bab682f84d6f9fc4d3d260231429b6385d905c6f073f358634328ec
Homepage: https://cran.r-project.org/package=tinyscholar
Description: CRAN Package 'tinyscholar' (Get and Show Personal 'Google Scholar' Profile)
 Provides functions to get personal 'Google Scholar' profile data from web
 API and show it in table or figure format.

Package: r-cran-tinysnapshot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-diffobj, r-cran-magick, r-cran-tinytest
Suggests: r-cran-fontquiver, r-cran-ggplot2, r-cran-ragg, r-cran-rsvg, r-cran-svglite
Filename: pool/dists/focal/main/r-cran-tinysnapshot_0.1.0-1.ca2004.1_all.deb
Size: 85920
MD5sum: 8483e7da5fb76e06e7191897fa83de3b
SHA1: 8fdefe1a8f4f4febcb648c1ae28b342d52e86d94
SHA256: 088b755fe3b849069c66b2a7a72652bae904955c27e3ec964c8fe548fbdbbaca
SHA512: 3a95910b204e62cb3c58da97219703ca77ea922fe7877abbd487fa8bd73d3a540d9b6159705ebcf21340d3ed89d91c1102cafdbae84e276157a49980814e4c26
Homepage: https://cran.r-project.org/package=tinysnapshot
Description: CRAN Package 'tinysnapshot' (Snapshots for Unit Tests using the 'tinytest' Framework)
 Snapshots for unit tests using the 'tinytest' framework for R. Includes
 expectations to test base R and 'ggplot2' plots as well as console output
 from print().

Package: r-cran-tinyspotifyr
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-tinyspotifyr_0.2.2-1.ca2004.1_all.deb
Size: 229632
MD5sum: f5d334d6a1cd76d6c318970d56229523
SHA1: 24f7f883fc254f1a9b80c258d7caf329394fb871
SHA256: 27971e9c6b5107fc64ed1019a7a5d7fa89ca0696c5539064cbf61a68be8386dd
SHA512: 77c73af532f539e1f0e3484abad16a4cc34f522ecb78e0ba6fa8cb7e1fa30e86920432589eaf6df67e06644ec52d708f1f9b5b0a804e965c4ca8cdc3ea73d991
Homepage: https://cran.r-project.org/package=tinyspotifyr
Description: CRAN Package 'tinyspotifyr' (Tinyverse R Wrapper for the 'Spotify' Web API)
 An R wrapper for the 'Spotify' Web API
 <https://developer.spotify.com/web-api/>.

Package: r-cran-tinytable
Architecture: all
Version: 0.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1096
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-base64enc, r-cran-data.table, r-cran-estimatr, r-cran-fansi, r-cran-ggplot2, r-cran-gh, r-cran-htmltools, r-cran-litedown, r-cran-magrittr, r-cran-marginaleffects, r-cran-modelsummary, r-cran-pandoc, r-cran-quarto, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-scales, r-cran-stringi, r-cran-tibble, r-cran-tinysnapshot, r-cran-tinytest, r-cran-tinytex, r-cran-xfun, r-cran-webshot2
Filename: pool/dists/focal/main/r-cran-tinytable_0.9.0-1.ca2004.1_all.deb
Size: 605888
MD5sum: 3f76e6f29b1f69df07133b036c7b3a64
SHA1: 8af2bc7c9e2eb7fc8bfef7e1ee8dfa6c2ff2f0b9
SHA256: 5e98059039146a4f7b5ce2db8e509a82c9deeae1f0e127fc631d88364323fd96
SHA512: 36777e4b6673059f31e18be8cb33e8616613e209fc45573a85f7c99e6596a6386858857e6937b7c7e6b05c5159fffb3bdb762171fee213c33370c87c31e6f86d
Homepage: https://cran.r-project.org/package=tinytable
Description: CRAN Package 'tinytable' (Simple and Configurable Tables in 'HTML', 'LaTeX', 'Markdown','Word', 'PNG', 'PDF', and 'Typst' Formats)
 Create highly customized tables with this simple and dependency-free
 package. Data frames can be converted to 'HTML', 'LaTeX', 'Markdown',
 'Word', 'PNG', 'PDF', or 'Typst' tables. The user interface is minimalist
 and easy to learn. The syntax is concise. 'HTML' tables can be customized
 using the flexible 'Bootstrap' framework, and 'LaTeX' code with the
 'tabularray' package.

Package: r-cran-tinytest2junit
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tinytest2junit_1.1.2-1.ca2004.1_all.deb
Size: 101888
MD5sum: 29c3c738706812fcf84246bee2fcf8c2
SHA1: 7d25ff5f298359e6c934da88f8e5d2826fc7a5e4
SHA256: 010cbb6a3af2f454afaa4b4823a960f57ab7a97336d6c5865250e7d2750e3405
SHA512: c0f31196f7654e80f813c87579dcbb3d769483c77ce29fae27a5c5951e76f6fdabbf6b1cc6c479de506a087ee6fdd5946c8a8751557afc12186dbb8dab9c9ec6
Homepage: https://cran.r-project.org/package=tinytest2JUnit
Description: CRAN Package 'tinytest2JUnit' (Convert 'tinytest' Output to JUnit XML)
 Unit testing is a solid component of automated CI/CD pipelines.  'tinytest'
 - a lightweight, zero-dependency alternative to 'testthat' was developed.
 To be able to integrate 'tinytests' results into common CI/CD systems the
 test results from tinytest need to be caputred and converted to JUnit XML
 format.  'tinytest2JUnit' enables this conversion while staying also
 lightweight and only have 'tinytest' as its dependency.

Package: r-cran-tinytest
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 815
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tinytest_1.4.1-1.ca2004.1_all.deb
Size: 675016
MD5sum: 172a8d1889b94d8b6a014c7b116bc0ad
SHA1: c9639ba3cd8aa8c360b7da12907f32db00f166a9
SHA256: 8cfb363060ba11c713b3cd01555669a0e93336aacb48b45d601b97eef9af6f80
SHA512: 290d7bcc5fa2965e471b82ac8532bbbb5d38f244b011d3fc65065db16c5a357b8df8da9a71960f5d1e64503ed49af082f3cc9b7114041e67add3d1ffc41bfcca
Homepage: https://cran.r-project.org/package=tinytest
Description: CRAN Package 'tinytest' (Lightweight and Feature Complete Unit Testing Framework)
 Provides a lightweight (zero-dependency) and easy to use unit testing
 framework. Main features: install tests with the package. Test results are
 treated as data that can be stored and manipulated. Test files are R scripts
 interspersed with test commands, that can be programmed over. Fully
 automated build-install-test sequence for packages. Skip tests when not run
 locally (e.g. on CRAN). Flexible and configurable output printing. Compare
 computed output with output stored with the package. Run tests in parallel.
 Extensible by other packages.  Report side effects.

Package: r-cran-tinytex
Architecture: all
Version: 0.57-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xfun
Suggests: r-cran-testit, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-tinytex_0.57-1.ca2004.1_all.deb
Size: 143432
MD5sum: 8710bd6af28e595aa182df80fde72ae4
SHA1: 5895a1b2be048cfa97f5abf406761c82f0349f24
SHA256: 3164719e7dda3e116a04ada5fa95218b60601b7fd62c31039ba0ff1dc02b591f
SHA512: 7305af332cf5299cb8d14ada120f734f8343db70118bcaf7212545e45cd957f07d4c94a9ccabf8796856f6202fd04bbb9da2c7c6c437951dd534d6bca65a6def
Homepage: https://cran.r-project.org/package=tinytex
Description: CRAN Package 'tinytex' (Helper Functions to Install and Maintain TeX Live, and CompileLaTeX Documents)
 Helper functions to install and maintain the 'LaTeX' distribution named
 'TinyTeX' (<https://yihui.org/tinytex/>), a lightweight, cross-platform,
 portable, and easy-to-maintain version of 'TeX Live'. This package also
 contains helper functions to compile 'LaTeX' documents, and install missing
 'LaTeX' packages automatically.

Package: r-cran-tinythemes
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-hrbrthemes, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-tinythemes_0.0.3-1.ca2004.1_all.deb
Size: 25132
MD5sum: 986a4c6cafa6ea2aa0cb3d9964993e6a
SHA1: 3310173178981c994d979967e7cfc71071195545
SHA256: 77f33b41eb40de1e2e87a738fd91ac204509c60b01ef4a50f3624a26c07187f7
SHA512: d2d8d822323cb16831841d819cbcf8652b7dad82f217ceaff467204668d75f16c8815e6baa53ba0db800f6d438366e2709468eb70705b8ffcdb4f6532f3ba586
Homepage: https://cran.r-project.org/package=tinythemes
Description: CRAN Package 'tinythemes' (Lightweight Repackaging of 'Themes' for 'ggplot2')
 Themes for 'ggplot2' are a convenient way to style plots. The 'hrbrthemes'
 package contains a particularly nice one, but brings along a significant
 tail of dependencies. So this (currently experimental) package brings along
 just the 'theme_ipsum_rc' theme using the 'Roboto' 'Condensed' font.  Should
 the font not be installed on your system, see the help in the package
 'hrbrthemes' on how to install 'Roboto Condensed'.

Package: r-cran-tinytiger
Architecture: all
Version: 0.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 271
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-curl, r-cran-sf
Suggests: r-cran-knitr, r-cran-rappdirs, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tinytiger_0.0.10-1.ca2004.1_all.deb
Size: 202352
MD5sum: 41f1b53690d186c14fb72cc868a85817
SHA1: 426f5e838ebe67adb5d0fae0c911b414a5764d16
SHA256: 68baa7d1f4d662a67a07b46f0dc6f8ff620d5348cd0241c3388fdf9fccf62910
SHA512: 0cf8998543a768d59c06bb6909cc426abf303d3ab41fb2968d95e27d9618cbcb52fd31c1c40b300c8f05bb6b723aca423a132ac5cb8c01a528775bbd4a88577b
Homepage: https://cran.r-project.org/package=tinytiger
Description: CRAN Package 'tinytiger' (Lightweight Interface to TIGER/Line Shapefiles)
 Download geographic shapes from the United States Census Bureau TIGER/Line
 Shapefiles
 <https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html>.
 Functions support downloading and reading in geographic boundary data.  All
 downloads can be set up with a cache to avoid multiple downloads.  Data is
 available back to 2000 for most geographies.

Package: r-cran-tip
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-igraph, r-cran-network, r-cran-ggplot2, r-cran-ggally, r-cran-laplacesdemon, r-cran-changepoint, r-cran-doparallel, r-cran-foreach, r-cran-mniw
Suggests: r-cran-knitr, r-cran-sna, r-cran-mcclust, r-cran-smfilter, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tip_0.1.0-1.ca2004.1_all.deb
Size: 254448
MD5sum: c6e236f00ed60d9893a08406624a37bd
SHA1: ffef3375ba88923c7b06862dabf304fed2f2f07d
SHA256: a0a61ade48f463e3a1adfe3200bb81519abcc43db3e1a0e884013f2aaf9d8102
SHA512: e66f4792d48b9a530f7740f81683d8c846f07b3930de4759ff2dfafbca7315a8a1d800716df235a72c10b8d90c45dbf8f2adbaf82caf284b992730ea3f7183c7
Homepage: https://cran.r-project.org/package=tip
Description: CRAN Package 'tip' (Bayesian Clustering Using the Table Invitation Prior (TIP))
 Cluster data without specifying the number of clusters using the Table
 Invitation Prior (TIP) introduced in the paper "Clustering Gene Expression
 Using the Table Invitation Prior" by Charles W. Harrison, Qing He, and
 Hsin-Hsiung Huang (2022) <doi:10.3390/genes13112036>. TIP is a Bayesian
 prior that uses pairwise distance and similarity information to cluster
 vectors, matrices, or tensors.

Package: r-cran-tipa
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-optimx
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tipa_1.0.8-1.ca2004.1_all.deb
Size: 26072
MD5sum: ff0d71e720deb9b5e026779ead38f027
SHA1: 5e4e2fd585d0cf1de380b4a8f791a1f0ea465278
SHA256: 27c64fa940cc9344c681556914f78c9110f18c01f23c9480635e57455fd6acc3
SHA512: 765e82f215558a3fa84fd10d69b6e02804fe7d2488ca5602c9337b08bbaa2edcdd3d9f2d35b785d7918978d2e849bcdee65ff4f4f973779b1b7be90e5578ebaa
Homepage: https://cran.r-project.org/package=tipa
Description: CRAN Package 'tipa' (Tau-Independent Phase Analysis for Circadian Time-Course Data)
 Accurately estimates phase shifts by accounting for period changes and for
 the point in the circadian cycle at which the stimulus occurs.  See
 Tackenberg et al. (2018) <doi:10.1177/0748730418768116>.

Package: r-cran-tipdatingbeast
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1328
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-teachingdemos, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-tipdatingbeast_1.1-0-1.ca2004.1_all.deb
Size: 1112352
MD5sum: 0e638fc43b881526eafddd36e55f6e19
SHA1: 084d087782d6a8ae8d22ecfb6c6b0853701eae98
SHA256: dcd15d5ba087085a7041f7d53ace1db5330bd40de93270812ea8051260c4a526
SHA512: 18cdfbea50b17890f78babc3a656a62adaff1ac914e766449f6ad2880b5982dc266edab5c85eb23f0870665794e2b72f9128319f0b191c20deea1d1d9dafff67
Homepage: https://cran.r-project.org/package=TipDatingBeast
Description: CRAN Package 'TipDatingBeast' (Using Tip Dates with Phylogenetic Trees in BEAST)
 Assists performing tip-dating of phylogenetic trees with BEAST BEAST is a
 popular software for phylogenetic analysis.  The package assists the
 implementation of various phylogenetic tip- dating tests using BEAST. It
 contains two main functions.  The first one allows preparing date
 randomization analyses, which assess the temporal signal of a data set.  The
 second function allows performing leave-one-out analyses, which test for the
 consistency between independent calibration sequences and allow pinpointing
 those leading to potential bias.  The included tutorial provides detailed
 step-by-step instructions.  An expanded description of the package can be
 found in article: Rieux, A. and Khatchikian, C.E. (2017), TIPDATINGBEAST: an
 R package to assist the implementation of phylogenetic tip-dating tests
 using BEAST. Molecular Ecology Resources, 17: 608-613.
 <onlinelibrary.wiley.com/doi/full/10.1111/1755-0998.12603>.

Package: r-cran-tipmap
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2433
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-ggplot2, r-cran-rbest, r-cran-assertthat, r-cran-furrr, r-cran-future
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tipmap_0.5.2-1.ca2004.1_all.deb
Size: 721752
MD5sum: cc83551f29daf1d682120a53ec9cdd5c
SHA1: d6baa4ac29a73174ec69177bcd7f30f70eadb37b
SHA256: 261ec042a189ee67b8e8e650bb6f4446bb49da519792f6ccc24e4d138794f85b
SHA512: f7f772cdddc86a2fc21bbfbc5b1b0a961e7ff825a6eb45bb76299d66aa6b75cd8948be8d4d7161a482acfe75079b888495dac8f8278a1a8ffb54524990687574
Homepage: https://cran.r-project.org/package=tipmap
Description: CRAN Package 'tipmap' (Tipping Point Analysis for Bayesian Dynamic Borrowing)
 Tipping point analysis for clinical trials that employ Bayesian dynamic
 borrowing via robust meta-analytic predictive (MAP) priors. Further
 functions facilitate expert elicitation of a primary weight of the
 informative component of the robust MAP prior and computation of operating
 characteristics. Intended use is the planning, analysis and interpretation
 of extrapolation studies in pediatric drug development, but applicability is
 generally wider.

Package: r-cran-tippingpoint
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2815
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bayessurv
Filename: pool/dists/focal/main/r-cran-tippingpoint_1.2.0-1.ca2004.1_all.deb
Size: 2022728
MD5sum: 13a12501a0340a39b152c127b02a41a5
SHA1: bd8bca4720adb3f2ae16705d22683a9292f411f9
SHA256: 546e73be980ff4e9db2f5aabe13704e9c59052745e554baded4a328794a0e4ef
SHA512: 75acd8eec9be658c9c7800c3d66145cf6d41eefd02ddda4ed76ea849615d0abe31ed42ea8c8b1e9c86901df305adccff16940ebe4078c6a5d4b401d0b040fa8c
Homepage: https://cran.r-project.org/package=TippingPoint
Description: CRAN Package 'TippingPoint' (Enhanced Tipping Point Displays the Results of SensitivityAnalysis for Missing Data)
 Using the idea of "tipping point" (proposed in Gregory Campbell, Gene
 Pennello and Lilly Yue(2011) <DOI:10.1080/10543406.2011.550094>) to
 visualize the results of sensitivity analysis for missing data, the package
 provides a set of functions to list out all the possible combinations of
 missing values in two treatment arms, calculate corresponding estimated
 treatment effects and p values, and draw a colored heat-map. It could deal
 with randomized experiments with a binary outcome or a continuous outcome.
 In addition, the package provides a visualized method to compare various
 imputation methods by adding the rectangles or convex hulls on the basic
 plot.

Package: r-cran-tippy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-shiny, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-tippy_0.1.0-1.ca2004.1_all.deb
Size: 44004
MD5sum: 3166715f85da9ca1701f6f501f1f2029
SHA1: 84d2c64a38743349b22c1f43fe278756f091c7aa
SHA256: 169724c8a6c314493a55fa552b5ac2a17aba2cbaf3f43ab214b2cfada17f6bfb
SHA512: 749d3146771712a290a0e2a8d83bb92e8fb255413a3b1e7ee8659e6b33ca4f739a3b257d5237dc54c74a20965bf01a4f8586cfe25cba05cfe5db5ec7223a3077
Homepage: https://cran.r-project.org/package=tippy
Description: CRAN Package 'tippy' (Add Tooltips to 'R markdown' Documents or 'Shiny' Apps)
 'Htmlwidget' of 'Tippyjs' to add tooltips to 'Shiny' apps and 'R markdown'
 documents.

Package: r-cran-tipr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-purrr, r-cran-rlang, r-cran-sensemakr, r-cran-tibble
Suggests: r-cran-broom, r-cran-dplyr, r-cran-mass, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tipr_1.0.2-1.ca2004.1_all.deb
Size: 291644
MD5sum: a837a7b9c35c6ca36386619a36c1983f
SHA1: feef5f6fcc0db85e567d6c70f93e4aee5838440d
SHA256: a7f050d2f5c8f5a21de054920bf97f4ac1ba036b1612118164917e9c84659146
SHA512: d64813091e59f66ba6135a3b56a24ecfdd107eb8c304defcc22413c08a10f31170fb527809268da430b99a0aef8ddbcdf4aad9b88d475db576f4fdc250c4beb8
Homepage: https://cran.r-project.org/package=tipr
Description: CRAN Package 'tipr' (Tipping Point Analyses)
 The strength of evidence provided by epidemiological and observational
 studies is inherently limited by the potential for unmeasured confounding.
 We focus on three key quantities: the observed bound of the confidence
 interval closest to the null, the relationship between an unmeasured
 confounder and the outcome, for example a plausible residual effect size for
 an unmeasured continuous or binary confounder, and the relationship between
 an unmeasured confounder and the exposure, for example a realistic mean
 difference or prevalence difference for this hypothetical confounder between
 exposure groups. Building on the methods put forth by Cornfield et al.
 (1959), Bross (1966), Schlesselman (1978), Rosenbaum & Rubin (1983), Lin et
 al. (1998), Lash et al. (2009), Rosenbaum (1986), Cinelli & Hazlett (2020),
 VanderWeele & Ding (2017), and Ding & VanderWeele (2016), we can use these
 quantities to assess how an unmeasured confounder may tip our result to
 insignificance.

Package: r-cran-titan2
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2936
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-cowplot, r-cran-ggridges, r-cran-purrr, r-cran-tibble, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-titan2_2.4.3-1.ca2004.1_all.deb
Size: 2434648
MD5sum: d9bf686f5f001920d3d82f4126f3a7bb
SHA1: 4ee54be2f26186bbe960d01ca3685f570e1e1137
SHA256: 9fbd1193e0571194531350d8a09ee1115cbb0def10cc82fa14e4c28b779d8056
SHA512: d96b8f5ae0d8102bce41979d84a5f99307b0db3bb4eaffacc6a71b6ffac374ba439123c81f3d98f3f163c5a9836a9e8b4b51ceb281b2649bc5f12a330a6930f3
Homepage: https://cran.r-project.org/package=TITAN2
Description: CRAN Package 'TITAN2' (Threshold Indicator Taxa Analysis)
 Uses indicator species scores across binary partitions of a sample set to
 detect congruence in taxon-specific changes of abundance and occurrence
 frequency along an environmental gradient as evidence of an ecological
 community threshold.  Relevant references include Baker and King (2010)
 <doi:10.1111/j.2041-210X.2009.00007.x>, King and Baker (2010)
 <doi:10.1899/09-144.1>, and Baker and King (2013) <doi:10.1899/12-142.1>.

Package: r-cran-titanic
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-titanic_0.1.0-1.ca2004.1_all.deb
Size: 80560
MD5sum: daeb52d1633775ce945e3fbce0860657
SHA1: 09e68e6fe461ecea2bec64b9a976698c7fb7a2a8
SHA256: 3ff61da3592319ef0bdaac8de41e74d8640c3f0494c0df701d24f7366a19a82c
SHA512: 47bb2c07983529fa58c893e507504f134d3cb154d1f9a126830238f956a6dd179a18fdf63cbead1fd455c4aaf5d9fdd99d5edf20a312c207d0b2b4fcde1d3fbc
Homepage: https://cran.r-project.org/package=titanic
Description: CRAN Package 'titanic' (Titanic Passenger Survival Data Set)
 This data set provides information on the fate of passengers on the fatal
 maiden voyage of the ocean liner "Titanic", summarized according to economic
 status (class), sex, age and survival. Whereas the base R Titanic data found
 by calling data("Titanic") is an array resulting from cross-tabulating 2201
 observations, these data sets are the individual non-aggregated observations
 and formatted in a machine learning context with a training sample, a
 testing sample, and two additional data sets that can be used for deeper
 machine learning analysis. These data sets are also the data sets downloaded
 from the Kaggle competition and thus lowers the barrier to entry for users
 new to R or machine learing.

Package: r-cran-titegboin
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-titegboin_0.4.0-1.ca2004.1_all.deb
Size: 59304
MD5sum: 8098c6f9d08f0b8b7873c04c242d8670
SHA1: 63004d8878d2344147dfe07c1a7b4592a0131e8c
SHA256: fbc9be14eb0087b6bd94adf743649fbd444a116ec05faaa92cb820d0eb25d886
SHA512: 6971309ec9f5df6f32241d332c6a3b198dd83f8f18c53929ee3592673e8602a2ae2dfaf5ba716724932ace9860768da395593ee1b294eba043adf0cfcdb0ce22
Homepage: https://cran.r-project.org/package=TITEgBOIN
Description: CRAN Package 'TITEgBOIN' (Time-to-Event Dose-Finding Design for Multiple Toxicity Grades)
 In some phase I trials, the design goal is to find the dose associated with
 a certain target toxicity rate or the dose with a certain weighted sum of
 rates of various toxicity grades. 'TITEgBOIN' provides the set up and
 calculations needed to run a dose-finding trial using bayesian optimal
 interval (BOIN) (Yuan et al. (2016) <doi:10.1158/1078-0432.CCR-16-0592>),
 generalized bayesian optimal interval (gBOIN) (Mu et al. (2019)
 <doi:10.1111/rssc.12263>), time-to-event bayesian optimal interval
 (TITEBOIN) (Lin et al. (2020) <doi:10.1093/biostatistics/kxz007>) and
 time-to-event generalized bayesian optimal interval (TITEgBOIN) (Takeda et
 al. (2022) <doi:10.1002/pst.2182>) designs. 'TITEgBOIN' can conduct tasks:
 run simulations and get operating characteristics; determine the dose for
 the next cohort; select maximum tolerated dose (MTD). These functions allow
 customization of design characteristics to vary sample size, cohort sizes,
 target dose limiting toxicity (DLT) rates or target normalized equivalent
 toxicity score (ETS) rates to account for discrete toxicity score, and
 incorporate safety and/or stopping rules.

Package: r-cran-titeir
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-iso
Filename: pool/dists/focal/main/r-cran-titeir_0.1.0-1.ca2004.1_all.deb
Size: 27004
MD5sum: 1e811bc21028b386bbc7fae4bb1a8ccc
SHA1: 147f90af9c2e33559af5a0131abd458dac69e72c
SHA256: 195fac1fe81655700539eedd78f1a16035f10392643cf5bb1decdac7ca5a5d98
SHA512: 229aec2a70c854fbba1a769f44e98750164f5df5c6120c7e5b829743443ed51bc2d841ee12b1fc7f554001489d892dd5fca56544453bdfbd365356dc59de00e5
Homepage: https://cran.r-project.org/package=titeIR
Description: CRAN Package 'titeIR' (Isotonic Designs for Phase 1 Trials with Late-Onset Toxicities)
 Functions to design phase 1 trials using an isotonic regression based design
 incorporating time-to-event information. Simulation and design functions are
 available, which incorporate information about followup and DLTs, and apply
 isotonic regression to devise estimates of DLT probability.

Package: r-cran-titrationcurves
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-titrationcurves_0.1.0-1.ca2004.1_all.deb
Size: 459280
MD5sum: a3470e7ef8c94768e48fd969948a9ff1
SHA1: ce533782b3a058be07cd7e8003b39444c259fbe2
SHA256: 531ccd68879036c951abcefff726a297d7c24d3470525023828dc5d3178c8d6d
SHA512: 746fa97b190048fed224533b227d14d000cd7eb8b65e7edb0c57baf9ccc27a3d77a9239206a1455abf7fa4975b3f14796bf88eee217003589de447392363c188
Homepage: https://cran.r-project.org/package=titrationCurves
Description: CRAN Package 'titrationCurves' (Acid/Base, Complexation, Redox, and Precipitation TitrationCurves)
 A collection of functions to plot acid/base titration curves (pH vs. volume
 of titrant), complexation titration curves (pMetal vs. volume of EDTA),
 redox titration curves (potential vs.volume of titrant), and precipitation
 titration curves (either pAnalyte or pTitrant vs. volume of titrant).
 Options include the titration of mixtures, the ability to overlay two or
 more titration curves, and the ability to show equivalence points.

Package: r-cran-tkcat
Architecture: all
Version: 1.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3985
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dbi, r-cran-visnetwork, r-cran-dplyr, r-cran-clickhousehttp, r-cran-rlang, r-cran-tidyselect, r-cran-getpass, r-cran-shiny, r-cran-shinydashboard, r-cran-dt, r-cran-htmltools, r-cran-readr, r-cran-jsonlite, r-cran-jsonvalidate, r-cran-base64enc, r-cran-markdown, r-cran-promises, r-cran-future, r-cran-xml2, r-cran-matrix, r-cran-uuid, r-cran-crayon, r-cran-roxygen2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-rclickhouse, r-cran-data.tree, r-cran-bed
Filename: pool/dists/focal/main/r-cran-tkcat_1.1.14-1.ca2004.1_all.deb
Size: 1524856
MD5sum: 0a6c896d5350f6993d4dea6c64a83ca7
SHA1: 10c426de72b0aaf0f43c7efb80cfa62539ab3baf
SHA256: 54f9f40d917a44ac59056e313a54c85eea1d8b553e3e2afdd7479cf9a8393bb3
SHA512: e1027439a2ee76e027ef04f4cd741d83150046845efcd652e007df26c063b7a9584d73f9d669a3fe65b4c3ac507ddc6e42f80327bc33876cc1b15226a1f21b00
Homepage: https://cran.r-project.org/package=TKCat
Description: CRAN Package 'TKCat' (Tailored Knowledge Catalog)
 Facilitate the management of data from knowledge resources that are
 frequently used alone or together in research environments.  In 'TKCat',
 knowledge resources are manipulated as modeled database (MDB) objects. These
 objects provide access to the data tables along with a general description
 of the resource and a detail data model documenting the tables, their fields
 and their relationships.  These MDBs are then gathered in catalogs that can
 be easily explored an shared.  Finally, 'TKCat' provides tools to easily
 subset, filter and combine MDBs and create new catalogs suited for specific
 needs.

Package: r-cran-tkimgr
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 744
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tkrplotr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tkimgr_0.0.5-1.ca2004.1_all.deb
Size: 77940
MD5sum: ff45d37f00578be4325536b053a9aae5
SHA1: 4d15d26793717deade65fdf2de7f6b6d60f6942c
SHA256: d937794723310d050014106187ab73c3ca465d8d7efd2a222fb0bcf9f1154656
SHA512: 4edec1d874b78ed4c5c5a38bb24ef733e01ea3f684bfcd174d27165e99bb843827a7a353f155e52ca0d82ca9ebd39e8310573bf7def858adb8bdb2165f11b290
Homepage: https://cran.r-project.org/package=tkImgR
Description: CRAN Package 'tkImgR' (Simple Image Viewer for R Using the 'tcltk' Package)
 A 'Tcl/Tk' Graphical User Interface (GUI) to display images than can be
 zoomed and panned using the mouse and keyboard shortcuts. 'tkImgR' read and
 write different image formats (PPM/PGM, PNG and GIF) using the standard
 'Tcl/Tk' distribution (>=8.6), but other formats (JPEG, TIFF, CR2) can be
 handled using the 'tkImg' package for 'Tcl/Tk'.

Package: r-cran-tkrplotr
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tkrplotr_0.1.7-1.ca2004.1_all.deb
Size: 65100
MD5sum: 7d4abd0d951d73ee61cbaef3c0a46fa9
SHA1: 40cc61b8e86a78217ff1ce283ff7d4458089c8b9
SHA256: cb102bd8b13ff05c3f6b6e330c52e95ae4550de7061b38cc34e6b332fe28fa09
SHA512: e780e669898129fc64650f204baf04a92a3c3b672c4d0909889b7edbdc8a06bcb1a527f7bbc90151ebae937fc542ba0aed543ea6db2cf8561f1aea2cdfec7cd1
Homepage: https://cran.r-project.org/package=tkRplotR
Description: CRAN Package 'tkRplotR' (Display Resizable Plots)
 Display a plot in a Tk canvas.

Package: r-cran-tlaginterim
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-tlaginterim_1.1-1.ca2004.1_all.deb
Size: 101728
MD5sum: e06ac7dc52e20fe1f8061af1253eb3dc
SHA1: 7ffa0e77a8fbede8e829b5c73fe22ca2d6bc8e44
SHA256: 31dd3e4a10ad925566fbf1b3e4b227c03c3c30dc83d17babc3e815f4f7d6a390
SHA512: 9e0bc2f437940563f2532bc4fd3a3e4113083bb0474d896f4ee39b97c2bc7f576ca36dadcab14fa470b24d5f62a1c5a33aaa50773c2076d0928f3285e2c8f1c0
Homepage: https://cran.r-project.org/package=tLagInterim
Description: CRAN Package 'tLagInterim' (Interim Monitoring of Clinical Trials with Time-Lagged Outcome)
 Implements inverse and augmented inverse probability weighted estimators for
 common treatment effect parameters at an interim analysis with time-lagged
 outcome that may not be available for all enrolled subjects.  Produces
 estimators, standard errors, and information that can be used to compute
 stopping boundaries using software that assumes that the estimators/test
 statistics have independent increments.  Tsiatis, A. A. and Davidian, M.,
 (2022) <doi:10.1002/sim.9580> .

Package: r-cran-tlagpropodds
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-dplyr, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-tlagpropodds_1.10-1.ca2004.1_all.deb
Size: 80540
MD5sum: 5654ca0816544f33288d6cda24f25933
SHA1: 1fda925f5e6232cb3febaf1e03d024dcb73f8b61
SHA256: 1ce4c20c78c2ba3cf05f0972b7a983b2a368f886a4251504d33dfde7a4435ac3
SHA512: 64185fdd7265673b980106a3fe21df754c1c1121ae5163cc32fedc71188f69cbf6bd8e555c54fe5faee36450f4970c8200020dcdba2971e5d595f3a1bc1f29c2
Homepage: https://cran.r-project.org/package=tLagPropOdds
Description: CRAN Package 'tLagPropOdds' (Proportional Odds Model with Censored, Time-Lagged CategoricalOutcome)
 Implements a semiparametric estimator for the odds ratio model with
 censored, time-lagged, ordered categorical outcome in a randomized clinical
 trial that incorporates baseline and time-dependent information.  Tsiatis
 AA, Davidian M, Holloway ST (2023) <doi:10.1111/biom.13603>.

Package: r-cran-tlasso
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-huge, r-cran-expm, r-cran-rtensor, r-cran-igraph
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tlasso_1.0.2-1.ca2004.1_all.deb
Size: 123660
MD5sum: 6022da807112e5aa7003cac1c268c47b
SHA1: 355a3b59576bdc776dac09b6ab1cd4c10bf9f4e8
SHA256: 017a042851e067df15370ae5fedcdc8e706286f1995c7c62f102ecfcfe7c19eb
SHA512: 68d65c9dc218fed4754ce093b2d035c150bc8ec24d5f9231373b557bb049a1a5955ddc31a416cd1b04276029b2d4a3d5e4fa68538b7f0c26e417c1bc9de6122c
Homepage: https://cran.r-project.org/package=Tlasso
Description: CRAN Package 'Tlasso' (Non-Convex Optimization and Statistical Inference for SparseTensor Graphical Models)
 An optimal alternating optimization algorithm for estimation of precision
 matrices of sparse tensor graphical models, and an efficient inference
 procedure for support recovery of the precision matrices.

Package: r-cran-tlcar
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tlcar_0.1.0-1.ca2004.1_all.deb
Size: 50108
MD5sum: 155a6af503bd876dacf68b65b3cdb164
SHA1: 90612e2ec2489e8a055f65bc839b9798462e8dea
SHA256: 25b1d3b838285d7eb9eaa91e657d641509af71dc454f1db1c57718a9f83b5273
SHA512: 734c3c818e7f663c0912890ad59ae08c5d10bd121fda6080d4984b58bb63795bb8e8142eadd49d07ee3130112a871cf98b274c34ed7fe5cc5a40478385047ffc
Homepage: https://cran.r-project.org/package=TLCAR
Description: CRAN Package 'TLCAR' (Computation of Topp-Leone Cauchy Rayleigh (TLCAR )distribution's properties)
 Provides a comprehensive suite of statistical tools for analyzing,
 simulating, and computing properties of the Topp-Leone Cauchy Rayleigh
 (TLCAR) distribution, a versatile distribution amalgamating features of the
 Topp-Leone, Cauchy, and Rayleigh distributions, ideal for modeling
 intricate, heterogeneous data across scientific domains. See Atchadé, M.N.,
 Bogninou, M.J., and Djibril, A.M. (2023) <doi:10.1007/s44199-023-00066-4>
 and Atchadé, M.N., Bogninou, M.J., and Djibril, A.M. (2024)
 <doi:10.1007/s44199-023-00069-1> for further insights.

Package: r-cran-tlda
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 851
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tlda_0.1.0-1.ca2004.1_all.deb
Size: 617216
MD5sum: 8b281668bb13007558c2bb610ad6f299
SHA1: 4b21d4e325c13874cc327302c5af12d78a98859d
SHA256: 9a38a663591776ebb701201ca0a5ae9ed0c259b28942deab79adc297e74917c0
SHA512: 1ca304cb3d5dc7550b577a5f371ac91cf0fac0bcb0a86a7ca40a6045b027b3a59db882e3e0c5aa89a0bcda903ad8303098cc3874e7feb0c3c87305c038a3a087
Homepage: https://cran.r-project.org/package=tlda
Description: CRAN Package 'tlda' (Tools for Language Data Analysis)
 Support functions and datasets to facilitate the analysis of linguistic
 data. The current focus is on the calculation of corpus-linguistic
 dispersion measures as described in Gries (2021)
 <doi:10.1007/978-3-030-46216-1_5> and Soenning (2025)
 <doi:10.3366/cor.2025.0326>. The most commonly used parts-based indices are
 implemented, including different formulas and modifications that are found
 in the literature, with the additional option to obtain frequency-adjusted
 scores. Dispersion scores can be computed based on individual count
 variables or a term-document matrix.

Package: r-cran-tldr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tableone, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tldr_0.4.0-1.ca2004.1_all.deb
Size: 53332
MD5sum: 4cc108c3c3fd2a5462a06bd01b9869be
SHA1: 22909eda8ff6eb00702b1d100e20dc22f8bc1026
SHA256: 3f746d61e275b592dcdf44a17acafafb784a8cd57e3f2637079d059f223dcb35
SHA512: 7cb0433d2319313a581be5135078646b41edcdf71946e800c7847ba4f7e3cd248f1f15f0fcd624c07be2309eb39f7cb17e84e763a42d01af96be24851215a42d
Homepage: https://cran.r-project.org/package=tldr
Description: CRAN Package 'tldr' (T Loux Doing R: Functions to Simplify Data Analysis andReporting)
 Gives a number of functions to aid common data analysis processes and
 reporting statistical results in an 'RMarkdown' file.  Data analysis
 functions combine multiple base R functions used to describe simple
 bivariate relationships into a single, easy to use function.  Reporting
 functions will return character strings to report p-values, confidence
 intervals, and hypothesis test and regression results. Strings will be
 LaTeX-formatted as necessary and will knit pretty in an 'RMarkdown'
 document. The package also provides wrappers function in the 'tableone'
 package to make the results knit-able.

Package: r-cran-tlemix
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mvtnorm, r-cran-flexmix
Filename: pool/dists/focal/main/r-cran-tlemix_0.1.3-1.ca2004.1_all.deb
Size: 192172
MD5sum: 834b5298ba9cb8e33e44ebe113d33540
SHA1: 743b305e2f5d48fe0eb827cdaa24a1f3425b5e2a
SHA256: e4e8a2eee63dbfc58fa10561519606a2561ce58b40b74c8ea8587f25e9df16ba
SHA512: d4a1a63dc074654849f09fae5eabd78f6a626d1010ee7053c32013415306df04cfd209e1e9b11fe7cbc91319b7b1458bb0529cbb5968bf3d0b16e17c68fb4baf
Homepage: https://cran.r-project.org/package=tlemix
Description: CRAN Package 'tlemix' (Trimmed Maximum Likelihood Estimation)
 TLE implements a general framework for robust fitting of finite mixture
 models. Parameter estimation is performed using the EM algorithm.

Package: r-cran-tlic
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-laplacesdemon, r-cran-fbasics
Filename: pool/dists/focal/main/r-cran-tlic_0.4-1.ca2004.1_all.deb
Size: 32212
MD5sum: 6080aaa08e7be04b786735693649166b
SHA1: 066f2b2dc82419383113f398698de2ab29727e0e
SHA256: 1018beb3b924c1e00438cbaf49aea8e158b90f3471225938482977dbeab2210d
SHA512: 21fb26ddfed19d688e8c4210e0dc424b69fd1b65356c60196ce75a2b9014581de19a8006edd25a92345d05910caa081c3ecb2f5d7ed0bbb21e2662caad6bfaa6
Homepage: https://cran.r-project.org/package=TLIC
Description: CRAN Package 'TLIC' (The LIC for T Distribution Regression Analysis)
 This comprehensive toolkit for T-distributed regression is designated as
 "TLIC" (The LIC for T Distribution Regression Analysis) analysis. It is
 predicated on the assumption that the error term adheres to a
 T-distribution. The philosophy of the package is described in Guo G. (2020)
 <doi:10.1080/02664763.2022.2053949>.

Package: r-cran-tlm
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1754
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-tlm_0.2.0-1.ca2004.1_all.deb
Size: 1645908
MD5sum: 8a2cb4baaf4f5c25188d921448d37768
SHA1: 754b009b3817c863e9f6e50aabbc70b8e95fabc2
SHA256: b90904778c7207ebb99c5d1465320dc3812eec2a2ce0fb3852d5b059b6645ba4
SHA512: 09294d75e2af6a71d085f305a37104686d8d894dabbb647f2475d29997d24d2d3bc59b7337592ab47abc768de3ea89ce6fb1b32a8a1cdd1d398a562f0d6019f4
Homepage: https://cran.r-project.org/package=tlm
Description: CRAN Package 'tlm' (Effects under Linear, Logistic and Poisson Regression Modelswith Transformed Variables)
 Computation of effects under linear, logistic and Poisson regression models
 with transformed variables. Logarithm and power transformations are allowed.
 Effects can be displayed both numerically and graphically in both the
 original and the transformed space of the variables. The methods are
 described in Barrera-Gomez and Basagana (2015)
 <doi:10.1097/EDE.0000000000000247>.

Package: r-cran-tlmec
Architecture: all
Version: 0.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-tlmec_0.0-2-1.ca2004.1_all.deb
Size: 66324
MD5sum: e18b1e510e5907d5944b1b9c3e1d85b1
SHA1: 6b7c5b1c544084219b72db8f29591cbc193bf2f0
SHA256: 8ab861ac5dd1707e2d57cde65716cfb0007ff7d93a181f1c1dd9da4e913cac28
SHA512: 9c00674808318eb2c317e40ccc3efc62eb714523142d9b8eea85e233e1c9ebe2b1b6a0d93b11b6550ae132d799a9952c1e15584866bffffda65c6d7d9cd82904
Homepage: https://cran.r-project.org/package=tlmec
Description: CRAN Package 'tlmec' (Linear Student-t Mixed-Effects Models with Censored Data)
 Fit a linear mixed effects model for censored data with Student-t or normal
 distributions. The errors are assumed independent and identically
 distributed.

Package: r-cran-tls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tls_0.1.0-1.ca2004.1_all.deb
Size: 20496
MD5sum: 24c53df20cc997a4e918f04cb2f72797
SHA1: 91ff8cbcad68182647c693fdcc29d55262d837ab
SHA256: a52276da85b9469890a85d37df98e4ffd5ca41709e32968e34855d41f4eb9168
SHA512: 308af8512266474d2a6afcb205f03f503db149693968b9c7f867fa959a179cb2fd701b37549b52ebe1dfc4b6fdbbe97250660fdbf1fbffff0596a44c9498cc66
Homepage: https://cran.r-project.org/package=tls
Description: CRAN Package 'tls' (Tools of Total Least Squares in Error-in-Variables Models)
 Functions for point and interval estimation in error-in-variables models via
 total least squares or generalized total least squares method. See Golub and
 Van Loan (1980) <doi:10.1137/0717073>, Gleser (1981)
 <https://www.jstor.org/stable/2240867>, Ivan Markovsky and Huffel (2007)
 <doi:10.1016/j.sigpro.2007.04.004> for more information.

Package: r-cran-tm.plugin.alceste
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm
Suggests: r-cran-stringi
Filename: pool/dists/focal/main/r-cran-tm.plugin.alceste_1.1.2-1.ca2004.1_all.deb
Size: 19492
MD5sum: e4f4dcc032fa75c01d7b4d6c930b2d95
SHA1: 266ad06b25d1cc626f556c1f4172b7bfd56a774f
SHA256: c10f3140d3b562d62c89ca2ca9ee784bd282b099d2d8468b6071d0e66fe254d3
SHA512: 8726c23933cb34e451d99bc2ab2e0e4cb1dd6f9c4f63efec79caff0d9ba4f65343416b538ac56748142686aeed444e878a39f4f7b82a856cab1387d902a2ec6f
Homepage: https://cran.r-project.org/package=tm.plugin.alceste
Description: CRAN Package 'tm.plugin.alceste' (Import Texts from Files in the 'Alceste' Format Using the 'tm'Text Mining Framework)
 Provides a 'tm' Source to create corpora from a corpus prepared in the
 format used by the 'Alceste' application (i.e.  a single text file with
 inline meta-data). It is able to import both text contents and meta-data
 (starred) variables.

Package: r-cran-tm.plugin.dc
Architecture: all
Version: 0.2-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dsl, r-cran-tm, r-cran-nlp, r-cran-slam
Suggests: r-cran-xml
Filename: pool/dists/focal/main/r-cran-tm.plugin.dc_0.2-10-1.ca2004.1_all.deb
Size: 40704
MD5sum: 52f8015dfdeaec571f73bd9ab1c38241
SHA1: 5ff72200dfec8894acd8408841481460dae7385b
SHA256: 4b69425eb727365aca21d75bc812587c22582ad43a6a26c586ddc48ed32e3bfc
SHA512: 75156f5c39fc063ff66a7ac8659ac9d6b120031f46eb25f51ee22685fba46a1050989576cee5a32002caa171ebec88dd9cec4c557d43189735e5d34f1cf6004f
Homepage: https://cran.r-project.org/package=tm.plugin.dc
Description: CRAN Package 'tm.plugin.dc' (Text Mining Distributed Corpus Plug-in)
 A plug-in for the text mining framework tm to support text mining in a
 distributed way. The package provides a convenient interface for handling
 distributed corpus objects based on distributed list objects.

Package: r-cran-tm.plugin.europresse
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-xml
Filename: pool/dists/focal/main/r-cran-tm.plugin.europresse_1.4.1-1.ca2004.1_all.deb
Size: 33452
MD5sum: e09a4627d9a453692069e41e78aed707
SHA1: 56da449e2ab58507c03e18cec7247c62c03ba3bb
SHA256: 1f358eabd8b089c5225b3ed530c0d5ba0117973654cbb3dd63851605a403e6be
SHA512: b98373b5eaf94dd2f762e2eb4d126dfe2a7b57c982528092160d6d13ec416ff91d1857ad950e8aa0e0b8a349bdd08a79dc0cac7c367c30a910e2b97e2cfbd9e0
Homepage: https://cran.r-project.org/package=tm.plugin.europresse
Description: CRAN Package 'tm.plugin.europresse' (Import Articles from 'Europresse' Using the 'tm' Text MiningFramework)
 Provides a 'tm' Source to create corpora from articles exported from the
 'Europresse' content provider as HTML files. It is able to read both text
 content and meta-data information (including source, date, title, author and
 pages).

Package: r-cran-tm.plugin.factiva
Architecture: all
Version: 1.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-xml2, r-cran-rvest
Filename: pool/dists/focal/main/r-cran-tm.plugin.factiva_1.8.1-1.ca2004.1_all.deb
Size: 63104
MD5sum: 6f2442a719906b0c3a462662ac0bd696
SHA1: db9260fd5ae0b553566facb371cb9f3a36408a31
SHA256: c3563350474f96bdf1adb5a46fd61ea360b499811b62e599d37e495893d505cc
SHA512: 84ab82ada6321dcfaec454f3908b47dfd10a3dd2c9a1b1033d33b4cd68ec83ec15344003928ac24f3080f8627cbb103a7a58baed15aacd1d264156caa10c27ec
Homepage: https://cran.r-project.org/package=tm.plugin.factiva
Description: CRAN Package 'tm.plugin.factiva' (Import Articles from 'Factiva' Using the 'tm' Text MiningFramework)
 Provides a 'tm' Source to create corpora from articles exported from the Dow
 Jones 'Factiva' content provider as XML or HTML files. It is able to read
 both text content and meta-data information (including source, date, title,
 author, subject, geographical coverage, company, industry, and various
 provider-specific fields).

Package: r-cran-tm.plugin.korpus
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2097
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-korpus, r-cran-sylly, r-cran-tm, r-cran-nlp
Suggests: r-cran-korpus.lang.en, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tm.plugin.korpus_0.4-2-1.ca2004.1_all.deb
Size: 974868
MD5sum: 1ebf20eed4261507dcd0eb73523599fc
SHA1: 85df9e7e815513534927cb6e9d892b4c049b4743
SHA256: b26990b1938e59e2c91cbf7c8af2c781238837eb8a089123e04f345fe12edd21
SHA512: 3cb48f5c4a7c60bb2e92b61478269c851b03c5db71acf172b179ceafc25a1a7f0cc9ddee9dc4e474a22be3806f3161c0b793359f44326f00912340504e7c3bf3
Homepage: https://cran.r-project.org/package=tm.plugin.koRpus
Description: CRAN Package 'tm.plugin.koRpus' (Full Corpus Support for the 'koRpus' Package)
 Enhances 'koRpus' text object classes and methods to also support large
 corpora. Hierarchical ordering of corpus texts into arbitrary categories
 will be preserved. Provided classes and methods also improve the ability of
 using the 'koRpus' package together with the 'tm' package. To ask for help,
 report bugs, suggest feature improvements, or discuss the global development
 of the package, please subscribe to the koRpus-dev mailing list
 (<https://korpusml.reaktanz.de>).

Package: r-cran-tm.plugin.lexisnexis
Architecture: all
Version: 1.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-xml2, r-cran-isocodes
Filename: pool/dists/focal/main/r-cran-tm.plugin.lexisnexis_1.4.2-1.ca2004.1_all.deb
Size: 35088
MD5sum: aa41265f3d8ae4a79522286f7b11eed5
SHA1: 726aa6b8ca647244f621e44a11715164d7dedd52
SHA256: 029e523baef75d3912b46e57609c1c456e48e6bec517368a4c4cff0dbaed6f85
SHA512: 6d90611ce4b4ba1253a971a6a6b013e5389a81cc2bb74ccaeb02d711e048819beebc8c847cf9350afcb640aeb1bf6df3b721ab6541e943fa5afabb940043ce91
Homepage: https://cran.r-project.org/package=tm.plugin.lexisnexis
Description: CRAN Package 'tm.plugin.lexisnexis' (Import Articles from 'LexisNexis' Using the 'tm' Text MiningFramework)
 Provides a 'tm' Source to create corpora from articles exported from the
 'LexisNexis' content provider as HTML files. It is able to read both text
 content and meta-data information (including source, date, title, author and
 pages).  Note that the file format is highly unstable: there is no warranty
 that this package will work for your corpus, and you may have to adjust the
 code to adapt it to your particular format.

Package: r-cran-tm.plugin.mail
Architecture: all
Version: 0.3-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-tm.plugin.mail_0.3-0-1.ca2004.1_all.deb
Size: 65972
MD5sum: eb8ee1b51588d4ac3c732d04c49b88b4
SHA1: e2e30eaab7b8addf6c7d19228aa408cee26a0ce6
SHA256: 49ae143b304f780e3b37adb7f6bddf005930e455ff687314d7d2aa7f8e1fa610
SHA512: c57579820f341d8d8e22f95f1c3617511467322414a59504832d0487c0ced3aebdbdfa441db72d96d39e98b29c5a85f5d7e1773dfb66ffcf6d2983636709da01
Homepage: https://cran.r-project.org/package=tm.plugin.mail
Description: CRAN Package 'tm.plugin.mail' (Text Mining E-Mail Plug-in)
 A plug-in for the tm text mining framework providing mail handling
 functionality.

Package: r-cran-tm.plugin.webmining
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 390
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-nlp, r-cran-tm, r-cran-boilerpiper, r-cran-rcurl, r-cran-xml, r-cran-rjsonio
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tm.plugin.webmining_1.3-1.ca2004.1_all.deb
Size: 338444
MD5sum: 7fed62c8c379e7bf28caf49b212a5f72
SHA1: 07406e01f68a008352cf6d4a72e6288cfc76fbac
SHA256: 78032d852da45be40807c7b564050eaddc49cd795f2538e4d53c1871eab5cc25
SHA512: 9195073f8f3c437883b2ad05123d63e55780836bb73654b2c2f2480dcf519b9bfce5a56e31f36bef2e0bbe2582cbbf9350f6d81804772497f5d55560b25aeae6
Homepage: https://cran.r-project.org/package=tm.plugin.webmining
Description: CRAN Package 'tm.plugin.webmining' (Retrieve Structured, Textual Data from Various Web Sources)
 Facilitate text retrieval from feed formats like XML (RSS, ATOM) and JSON.
 Also direct retrieval from HTML is supported. As most (news) feeds only
 incorporate small fractions of the original text tm.plugin.webmining even
 retrieves and extracts the text of the original text source.

Package: r-cran-tm1r
Architecture: all
Version: 1.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-tm1r_1.1.8-1.ca2004.1_all.deb
Size: 115708
MD5sum: 8a9fc7cfe222027e97ad697c693b2d52
SHA1: 66abe928e162b6df24367ecf52bb9a4ab0b12707
SHA256: 0c79700cbb69252b0ff5270d277982d034cb37997bbf7ad7e8fabb793183be9e
SHA512: a637fc2080d7615e185a8283aad67cb8ab9d9d3c6fcd36dd253b557b17df0964e9f883dc89f65e7835402168e246dfd0a10bbec6fc63ac4bb0076a9290f4b9f5
Homepage: https://cran.r-project.org/package=tm1r
Description: CRAN Package 'tm1r' (The Integration Between 'IBM COGNOS TM1' and R)
 Useful functions to connect to 'TM1'
 <https://www.ibm.com/uk-en/products/planning-and-analytics> instance from R
 via REST API. With the functions in the package, data can be imported from
 'TM1' via mdx view or native view, data can be sent to 'TM1', processes and
 chores can be executed, and cube and dimension metadata information can be
 taken.

Package: r-cran-tmap.cartogram
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tmap, r-cran-sf, r-cran-cartogram
Suggests: r-cran-knitr, r-cran-transformr, r-cran-gifski
Filename: pool/dists/focal/main/r-cran-tmap.cartogram_0.2-1.ca2004.1_all.deb
Size: 73656
MD5sum: 40942ad8bc8beefbe79dd2b04f7df7a0
SHA1: cad5192c1561a62585615d038483cec95c5b83e1
SHA256: deeb5f98ae1cd49d1e54e0d8058b478a6658c9cc3c3e69a614b1f0d938ff5f89
SHA512: 93f67357f5a0cf61c017a44bdcc08f06745686b892156758bf203a0966559b134d4e3c2a7ccff6689208644b4c08e7653052c843e665a0101193ec82fcc93bf9
Homepage: https://cran.r-project.org/package=tmap.cartogram
Description: CRAN Package 'tmap.cartogram' (Extension to 'tmap' for Creating Cartograms)
 Provides new layer functions to 'tmap' for creating various types of
 cartograms. A cartogram is a type of thematic map in which geographic areas
 are resized or distorted based on a quantitative variable, such as
 population. The goal is to make the area sizes proportional to the selected
 variable while preserving geographic positions as much as possible.

Package: r-cran-tmap.glyphs
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tmap, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-tmap.glyphs_0.1-1.ca2004.1_all.deb
Size: 78512
MD5sum: d020498af3e374825ba915809d3340cc
SHA1: 69567f28f1163c0d053e4cc69b18ee0a8ad44d3f
SHA256: 1d4a6a87bbe497e8d073fa8ad3498317d754855bb35b528a953c3a1b35641767
SHA512: ed9bafb22f6965bdb8e105c6ecb2f83a5234748dda38e88a8b90b92a5e51dc2f1b8247915f65354406c09927ad72c9fb1e8c5e6500c1f1259cc52268fcd50720
Homepage: https://cran.r-project.org/package=tmap.glyphs
Description: CRAN Package 'tmap.glyphs' (Extension to 'tmap' for Creating Glyphs)
 Provides new layer functions to 'tmap' for drawing glyphs. A glyph is a
 small chart (e.g., donut chart) shown at specific map locations to visualize
 multivariate or time-series data. The functions work with the syntax of
 'tmap' and allow flexible control over size, layout, and appearance.

Package: r-cran-tmap.networks
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-tmap, r-cran-sf, r-cran-sfnetworks, r-cran-data.table, r-cran-igraph
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tmap.networks_0.1-1.ca2004.1_all.deb
Size: 91852
MD5sum: 6077508c725551852cf8ec80bb0e5b7e
SHA1: e67d2fe3513742a56c84324fbdd6438e1f96e79e
SHA256: 4c9db9beef7e681d28ccd4a5d745eb70ebd890e783e6d69f72daf6da4643e19a
SHA512: 7962f7c0d1a7b1c3cea0d468af8f356b001918e1ba519c5562c6469c4a946905993309545d3dc92633d809e52a047d36a9147024672e6b2d97827ecd4208438d
Homepage: https://cran.r-project.org/package=tmap.networks
Description: CRAN Package 'tmap.networks' (Extension to 'tmap' for Creating Network Visualizations)
 Provides functions for visualizing networks with 'tmap'. It supports
 'sfnetworks' objects natively but is not limited to them. Useful for adding
 network layers such as edges and nodes to 'tmap' maps. More features may be
 added in future versions.

Package: r-cran-tmap
Architecture: all
Version: 4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4294
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-classint, r-cran-cli, r-cran-cols4all, r-cran-data.table, r-cran-htmltools, r-cran-htmlwidgets, r-cran-base64enc, r-cran-leafem, r-cran-leafgl, r-cran-leaflegend, r-cran-leaflet, r-cran-leafsync, r-cran-maptiles, r-cran-rlang, r-cran-sf, r-cran-stars, r-cran-s2, r-cran-tmaptools, r-cran-units, r-cran-servr
Suggests: r-cran-av, r-cran-transformr, r-cran-colorspace, r-cran-ggplot2, r-cran-gifski, r-cran-knitr, r-cran-shiny, r-cran-terra, r-cran-testthat, r-cran-widgetframe, r-cran-lobstr, r-cran-rsvg, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-tmap_4.1-1.ca2004.1_all.deb
Size: 4199952
MD5sum: 9445448c2ffcff6435ccf2ba88a1c34a
SHA1: 04c6065d93a9828d5fa9f9abb4892ea892db5d53
SHA256: 5520ecd56a1ec2fd62d5ef5a33fe1c988e4464b6201749456d9bcb519be77e2b
SHA512: 226a7ee1a73c0d359a7f755c13479ff88faa8eb213d4bc5753c7f7f3ce7db5524e4df50fdac6a9f0909ffc165725a1c2f8fb0b1e5d93bf23bc7d2f9c013a7ec9
Homepage: https://cran.r-project.org/package=tmap
Description: CRAN Package 'tmap' (Thematic Maps)
 Thematic maps are geographical maps in which spatial data distributions are
 visualized. This package offers a flexible, layer-based, and easy to use
 approach to create thematic maps, such as choropleths and bubble maps.

Package: r-cran-tmaptools
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-lwgeom, r-cran-stars, r-cran-units, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-viridislite, r-cran-dichromat, r-cran-xml
Suggests: r-cran-tmap, r-cran-cols4all, r-cran-rmapshaper, r-cran-osmdata, r-cran-openstreetmap, r-cran-raster, r-cran-png, r-cran-shiny, r-cran-shinyjs
Filename: pool/dists/focal/main/r-cran-tmaptools_3.2-1.ca2004.1_all.deb
Size: 172108
MD5sum: 7aabb0fe159326b26ebfb7c8e8f39988
SHA1: e4e504ace18d3336bd190420daee9616e1fe8b75
SHA256: 42ea66b5f6dcd64280abb5145463da8fe3a1648af8a372668c84dfec58055547
SHA512: 1c8126e34c64ebc7083c5ebeb77c6d4c68680cb494522e4dd8bacd0d01e4fe96a97b94e7d8c273776492c308150fcbd8fd177d0aa7e83a046e2fbf69eb0ce65a
Homepage: https://cran.r-project.org/package=tmaptools
Description: CRAN Package 'tmaptools' (Thematic Map Tools)
 Set of tools for reading and processing spatial data. The aim is to supply
 the workflow to create thematic maps. This package also facilitates 'tmap',
 the package for visualizing thematic maps.

Package: r-cran-tmcalculator
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tmcalculator_1.0.3-1.ca2004.1_all.deb
Size: 81916
MD5sum: 3e949deae0307099576dad1e4eedba1b
SHA1: f9ec4508c7985769486927f07905888c05c6adba
SHA256: 73e034bfbe29bb18da5d6b1231c786fa0e052136f7080fd2c33e33597585fb71
SHA512: d31ed8a30cedfe3f4b585b2b007d1248882b8f7a3fd4d02321b60a12dc7f1af32b67ea90d04d82ada5a34d6c3dc3d6c13491e6dda221d0724e67b4bd0a53b59d
Homepage: https://cran.r-project.org/package=TmCalculator
Description: CRAN Package 'TmCalculator' (Melting Temperature of Nucleic Acid Sequences)
 This tool is extended from methods in Bio.SeqUtils.MeltingTemp of python.
 The melting temperature of nucleic acid sequences can be calculated in three
 method, the Wallace rule (Thein & Wallace (1986)
 <doi:10.1016/S0140-6736(86)90739-7>), empirical formulas based on G and C
 content (Marmur J. (1962) <doi:10.1016/S0022-2836(62)80066-7>, Schildkraut
 C. (2010) <doi:10.1002/bip.360030207>, Wetmur J G (1991)
 <doi:10.3109/10409239109114069>, Untergasser,A. (2012)
 <doi:10.1093/nar/gks596>, von Ahsen N (2001)
 <doi:10.1093/clinchem/47.11.1956>) and nearest neighbor thermodynamics
 (Breslauer K J (1986) <doi:10.1073/pnas.83.11.3746>, Sugimoto N (1996)
 <doi:10.1093/nar/24.22.4501>, Allawi H (1998) <doi:10.1093/nar/26.11.2694>,
 SantaLucia J (2004) <doi:10.1146/annurev.biophys.32.110601.141800>, Freier S
 (1986) <doi:10.1073/pnas.83.24.9373>, Xia T (1998) <doi:10.1021/bi9809425>,
 Chen JL (2012) <doi:10.1021/bi3002709>, Bommarito S (2000)
 <doi:10.1093/nar/28.9.1929>, Turner D H (2010) <doi:10.1093/nar/gkp892>,
 Sugimoto N (1995) <doi:10.1016/S0048-9697(98)00088-6>, Allawi H T (1997)
 <doi:10.1021/bi962590c>, Santalucia N (2005) <doi:10.1093/nar/gki918>), and
 it can also be corrected with salt ions and chemical compound (SantaLucia J
 (1996) <doi:10.1021/bi951907q>, SantaLucia J(1998)
 <doi:10.1073/pnas.95.4.1460>, Owczarzy R (2004) <doi:10.1021/bi034621r>,
 Owczarzy R (2008) <doi:10.1021/bi702363u>).

Package: r-cran-tmdb
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-tmdb_1.1-1.ca2004.1_all.deb
Size: 290728
MD5sum: 81a66e7246a0af94f94469959dbe0f8b
SHA1: 24aa5a8479a539b10c27fc7984793b0202467185
SHA256: 737099ed0aaa726fba468254c478831eb0a4522823af2ddfbf4d9221a311720d
SHA512: 5253aeeb8a387fb966d24f2737da439d62b1c85cc5b3501c671790f1e4a91ef3499ba67379fb929df9cbd4abc393a0ecaf4ea9c7d1e038941d9ef516cbcdadb4
Homepage: https://cran.r-project.org/package=TMDb
Description: CRAN Package 'TMDb' (Access to TMDb API)
 Provides an R-interface to the TMDb API (see TMDb API on
 <https://developers.themoviedb.org/3/getting-started/introduction>). The
 Movie Database (TMDb) is a popular user editable database for movies and TV
 shows (see <https://www.themoviedb.org>).

Package: r-cran-tmisc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 136
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-rstudioapi, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-tmisc_1.0.1-1.ca2004.1_all.deb
Size: 89300
MD5sum: 2c277eda62b418200a77e6c035f8d881
SHA1: a6918dab444d177333622f554d53edba478c4987
SHA256: 640d7207ba8e12678b5f8c1f77c615160ed3ec32b634fc9b2ffd60545d9348ab
SHA512: 1d85f2181560bf82e792da0e3f32423facab8f4439caf13a03761b23caec67d7c9603260d7927bc1cdec8b62ef633d339bb0321170ed39b947fe221e25c50cdc
Homepage: https://cran.r-project.org/package=Tmisc
Description: CRAN Package 'Tmisc' (Turner Miscellaneous)
 Miscellaneous utility functions for data manipulation, data tidying, and
 working with gene expression data.

Package: r-cran-tml
Architecture: all
Version: 2.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2141
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-rcppalgos, r-cran-rfast, r-cran-combinat, r-cran-gtools, r-cran-lpsolve, r-cran-lpsolveapi, r-cran-misctools, r-cran-phangorn, r-cran-rcdd, r-cran-rgl, r-cran-ape, r-cran-phytools, r-cran-maps, r-cran-cluster, r-cran-rocr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tml_2.3.0-1.ca2004.1_all.deb
Size: 2113484
MD5sum: d055d1e56c7dee8b7479539c7a3dd0f3
SHA1: 4a41b180604b586872705e5251726d846320cd79
SHA256: 63434abc243b9b1e7646b6103b19fe9c945ddeddfbf67e06d0449acdd4517152
SHA512: cf5a79424331765d89eb2eb02a4ce2c81dd8cd801d9e59b3d4443cf9dc14a7b7f48052dfd9f7f20215dd1d2a7a39c3c831f72b1bd644d0d00bbbb7df6b4b0a2f
Homepage: https://cran.r-project.org/package=TML
Description: CRAN Package 'TML' (Tropical Geometry Tools for Machine Learning)
 Suite of tropical geometric tools for use in machine learning applications.
 These methods may be summarized in the following references: Yoshida, et al.
 (2022) <doi:10.2140/astat.2023.14.37>, Barnhill et al. (2023)
 <doi:10.48550/arXiv.2303.02539>, Barnhill and Yoshida (2023)
 <doi:10.3390/math11153433>, Aliatimis et al. (2023)
 <doi:10.1007/s11538-024-01327-8>, Yoshida et al. (2022)
 <doi:10.1109/TCBB.2024.3420815>, and Yoshida et al. (2019)
 <doi:10.1007/s11538-018-0493-4>.

Package: r-cran-tmle.npvi
Architecture: all
Version: 0.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1953
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r.utils, r-cran-r.methodss3, r-cran-r.oo, r-cran-mass, r-cran-matrix, r-cran-geometry
Suggests: r-cran-superlearner, r-cran-e1071, r-cran-randomforest, r-cran-polspline, r-cran-gam, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tmle.npvi_0.10.0-1.ca2004.1_all.deb
Size: 1883024
MD5sum: a7d3658da8f966ed54d0c1928101088b
SHA1: f415678ef7fcc78b99a4aa554646613f994f4cd9
SHA256: c8a9f6ed9f9cffc67866254399b7b6f59093b6996eb94456458f039df8d3e453
SHA512: 71aeb9d19714824681697fb801218a01d70774dba30d39c7901a6c31c4ff83e18b9b232106ca97f9a326a9e80b8c80b32f411746a98b11491f19bbbb52709d80
Homepage: https://cran.r-project.org/package=tmle.npvi
Description: CRAN Package 'tmle.npvi' (Targeted Learning of a NP Importance of a Continuous Exposure)
 Targeted minimum loss estimation (TMLE) of a non-parametric variable
 importance measure of a continuous exposure 'X' on an outcome 'Y', taking
 baseline covariates 'W' into account.

Package: r-cran-tmle
Architecture: all
Version: 2.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glmnet, r-cran-superlearner
Suggests: r-cran-dbarts, r-cran-gam, r-cran-rocr, r-cran-weightedroc
Filename: pool/dists/focal/main/r-cran-tmle_2.0.1.1-1.ca2004.1_all.deb
Size: 206256
MD5sum: 3222efbc36d8d3bcb464d6abcfd098f0
SHA1: 9a58adea0ac16cbd010ad3475c88724e87ae5542
SHA256: 3cbf42ed8807e1f89cfc89522dc36faf9168e6e1f553d1bbb73992db5d9e0006
SHA512: feb09359e770cfb7947d20322970e7fcabd9b888eb82ce6a4f03f4dcba4d22737fc3c3a575e5972d47184039e2e29bca63075a4982d6f9b3581832e0a11b9d7f
Homepage: https://cran.r-project.org/package=tmle
Description: CRAN Package 'tmle' (Targeted Maximum Likelihood Estimation)
 Targeted maximum likelihood estimation of point treatment effects (Targeted
 Maximum Likelihood Learning, The International Journal of Biostatistics,
 2(1), 2006.  This version automatically estimates the additive treatment
 effect among the treated (ATT) and among the controls (ATC).  The tmle()
 function calculates the adjusted marginal difference in mean outcome
 associated with a binary point treatment, for continuous or binary outcomes.
 Relative risk and odds ratio estimates are also reported for binary
 outcomes. Missingness in the outcome is allowed, but not in treatment
 assignment or baseline covariate values.  The population mean is calculated
 when there is missingness, and no variation in the treatment assignment. The
 tmleMSM() function estimates the parameters of a marginal structural model
 for a binary point treatment effect. Effect estimation stratified by a
 binary mediating variable is also available. An ID argument can be used to
 identify repeated measures. Default settings call 'SuperLearner' to estimate
 the Q and g portions of the likelihood, unless values or a user-supplied
 regression function are passed in as arguments.

Package: r-cran-tmod
Architecture: all
Version: 0.50.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3461
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-beeswarm, r-cran-tagcloud, r-cran-xml, r-cran-plotwidgets, r-cran-rcolorbrewer, r-cran-gplots, r-cran-tibble, r-cran-pheatmap, r-cran-ggplot2, r-cran-tidyr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-ggrepel
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-pander, r-cran-cowplot
Filename: pool/dists/focal/main/r-cran-tmod_0.50.13-1.ca2004.1_all.deb
Size: 3056132
MD5sum: 19975ab39ee0f5c8ccafb67685d9e560
SHA1: fbc7a0a3e12909ab90caad5efb6069a2b4d95e70
SHA256: 295446e795e35d2f3737a37adcc813300d7db3907f3ebca9bb2fbeb45e2d07c7
SHA512: 2ffc74c82ee08a95c7b1384a3635c4a7250aaca2176e11bd69e110af228a2609dc58e729cd05f111cc55d3c2ec160ca357970d5654f1989dc9369ff1655fbaf3
Homepage: https://cran.r-project.org/package=tmod
Description: CRAN Package 'tmod' (Feature Set Enrichment Analysis for Metabolomics andTranscriptomics)
 Methods and feature set definitions for feature or gene set enrichment
 analysis in transcriptional and metabolic profiling data.  Package includes
 tests for enrichment based on ranked lists of features, functions for
 visualisation and multivariate functional analysis. See Zyla et al (2019)
 <doi:10.1093/bioinformatics/btz447>.

Package: r-cran-tmplate
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-trnslate
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-tmplate_0.0.3-1.ca2004.1_all.deb
Size: 32652
MD5sum: 7d60375a273decd8695a0a1b62d77f87
SHA1: e814ca658e01af20851b547adc32b2a0ac9908a3
SHA256: 7f6fdc3be78c39736325ab5bc8c06064a63917be2574c9a220ea4921af474f7f
SHA512: 55060b76211a55bbd6087d4f05319deb740bad028a968841c6e9a9df71c55bdfd69b22420591c1508950aebce342fe25f71aa451ad0df1f8f81cdb04b94a9746
Homepage: https://cran.r-project.org/package=tmplate
Description: CRAN Package 'tmplate' (Code Generation Based on Templates)
 Define general templates with tags that can be replaced by content depending
 on arguments and objects to modify the final output of the document.

Package: r-cran-tmpm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-tmpm_1.0.3-1.ca2004.1_all.deb
Size: 62964
MD5sum: c59de9b2897f67ed71b9cd9a12eaee9a
SHA1: 3d1ca7215f40a4d5f2980769536f859baf6d8a4f
SHA256: f0217028f964460e3c77704178f163ecaec8d38b7e9bac9f1b4224f1494f237d
SHA512: b6eca1f5268063523fcefc7bc6e528b3e272db20e7cb1b6240b4ceacb7933756fd4564ce0c895b020de1389133e36c2bbd81fbc4dac6d47fded0ffa1a5972931
Homepage: https://cran.r-project.org/package=tmpm
Description: CRAN Package 'tmpm' (Trauma Mortality Prediction Model)
 Trauma Mortality prediction for ICD-9, ICD-10, and AIS lexicons in long or
 wide format based on Dr. Alan Cook's tmpm mortality model.

Package: r-cran-tmsens
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tmsens_0.3.1-1.ca2004.1_all.deb
Size: 59128
MD5sum: 7ce3d193e28a5af555324e86203177cb
SHA1: 3243ca396374e2ee48e291cc5188f437560fac27
SHA256: 1022215e1326961ff093d690be1ad4750cd188283e7690a018451af9d1364c96
SHA512: f85cd74bba8fe583e4ca46f16b8d554f17d843da0435e6dfc1438519ad5e33eaa314c99a76bde42b5cd094f6c1807fee040e0ca0ea4f955262db06494b3bd8d7
Homepage: https://cran.r-project.org/package=tmsens
Description: CRAN Package 'tmsens' (Sensitivity Analysis Using the Trimmed Means Estimator)
 Sensitivity analysis using the trimmed means estimator.

Package: r-cran-tmvmixnorm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-tmvmixnorm_1.1.1-1.ca2004.1_all.deb
Size: 56128
MD5sum: 5ab110988f4885e00b1f56a7006579aa
SHA1: 79568d48cdf19ff66251edce44ed3a5586cf73c4
SHA256: 919e76b6a696675a870881edab75147a6a66af8fdc6783ff068a1e701d69788e
SHA512: 38dd2e56ec50948d3762579693729124e6ab8976994ac2d2a3e17e74f3d1abc77fb8d17260f377c22fc3e01a22138bf8ddec0420252291bd4d3b7376a301d4ab
Homepage: https://cran.r-project.org/package=tmvmixnorm
Description: CRAN Package 'tmvmixnorm' (Sampling from Truncated Multivariate Normal and t Distributions)
 Efficient sampling of truncated multivariate (scale) mixtures of normals
 under linear inequality constraints is nontrivial due to the analytically
 intractable normalizing constant. Meanwhile, traditional methods may subject
 to numerical issues, especially when the dimension is high and dependence is
 strong.  Algorithms proposed by Li and Ghosh (2015) <doi:
 10.1080/15598608.2014.996690> are adopted for overcoming difficulties in
 simulating truncated distributions. Efficient rejection sampling for
 simulating truncated univariate normal distribution is included in the
 package, which shows superiority in terms of acceptance rate and numerical
 stability compared to existing methods and R packages. An efficient function
 for sampling from truncated multivariate normal distribution subject to
 convex polytope restriction regions based on Gibbs sampler for conditional
 truncated univariate distribution is provided. By extending the sampling
 method, a function for sampling truncated multivariate Student's t
 distribution is also developed.  Moreover, the proposed method and
 computation remain valid for high dimensional and strong dependence
 scenarios. Empirical results in Li and Ghosh (2015) <doi:
 10.1080/15598608.2014.996690> illustrated the superior performance in terms
 of various criteria (e.g. mixing and integrated auto-correlation time).

Package: r-cran-tna
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1095
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-colorspace, r-cran-dplyr, r-cran-ggplot2, r-cran-igraph, r-cran-qgraph, r-cran-rcolorbrewer, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-gt, r-cran-knitr, r-cran-mixtools, r-cran-pracma, r-cran-rmarkdown, r-cran-seqhmm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tna_0.5.0-1.ca2004.1_all.deb
Size: 897980
MD5sum: e47cafb4358c788517e9057544a94055
SHA1: d74f595e0625fb5d451dd165f42497fad0c3f1f9
SHA256: 7e2f9755b51f6ba1f22a3dffc0c0bab7bf074387516406d4d26e0f4b20e41f60
SHA512: b49fa105e947de7afd57f9523b2a4d1eb457cf9bd01dd6c5526a8a834eaf9efb8ecfa67014152b9214b187543fbe7f8d6c4822d2c4c251f4c777f2334780d3be
Homepage: https://cran.r-project.org/package=tna
Description: CRAN Package 'tna' (Transition Network Analysis (TNA))
 Provides tools for performing Transition Network Analysis (TNA) to study
 relational dynamics, including functions for building and plotting TNA
 models, calculating centrality measures, and identifying dominant events and
 patterns. TNA statistical techniques (e.g., bootstrapping and permutation
 tests) ensure the reliability of observed insights and confirm that
 identified dynamics are meaningful. See (Saqr et al., 2025)
 <doi:10.1145/3706468.3706513> for more details on TNA.

Package: r-cran-tnc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-igraph, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tnc_0.1.0-1.ca2004.1_all.deb
Size: 50716
MD5sum: e0238d74e2ade19246676d6f8833b669
SHA1: 2f7a671ce902ec574c441c647afa57a320cc54b4
SHA256: a69315f257c180e07422e0cec358969e4e30b5c884b78bde1c97d0a414557969
SHA512: 978682b0c7b451ec2918f5ecc10620ee8f47940db949342c1c90e8d2af2788febb5f37a28347ef3936b087abd57a5ac72d76018116b3fb29588c406bbc818354
Homepage: https://cran.r-project.org/package=TNC
Description: CRAN Package 'TNC' (Temporal Network Centrality (TNC) Measures)
 Node centrality measures for temporal networks. Available measures are
 temporal degree centrality, temporal closeness centrality and temporal
 betweenness centrality defined by Kim and Anderson (2012)
 <doi:10.1103/PhysRevE.85.026107>. Applying the REN algorithm by Hanke and
 Foraita (2017) <doi:10.1186/s12859-017-1677-x> when calculating the
 centrality measures keeps the computational running time linear in the
 number of graph snapshots. Further, all methods can run in parallel up to
 the number of nodes in the network.

Package: r-cran-tndata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fs, r-cran-glue, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-logger, r-cran-lubridate, r-cran-purrr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-tndata_0.1.0-1.ca2004.1_all.deb
Size: 57844
MD5sum: 6ea1519eb20c1faafcc3dd508a563e90
SHA1: 30cc09a408cc41bf60583aa05d351884dddfab63
SHA256: 4262c75d96c07e380d3243b0aaf23e0c427b6a8be9a0f8fd44c2148760656d25
SHA512: 49f2434452e8d41efd4ff35bbbaed72848b93583ffe682b6581784e6168dc480865ec83783dbb530bab3ec05978fd05dae90b5389f2193cc39ce7cd331d054d3
Homepage: https://cran.r-project.org/package=tndata
Description: CRAN Package 'tndata' (Fetch Datasets from the Official Tunisian Data Catalog)
 Simplifies access to Tunisian government open data from
 <https://data.gov.tn/fr/>.  Queries datasets by theme, author, or keywords,
 retrieves metadata, and gets structured results ready for analysis; all
 through the official 'CKAN' API.

Package: r-cran-tnet
Architecture: all
Version: 3.0.16-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1301
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-survival
Filename: pool/dists/focal/main/r-cran-tnet_3.0.16-1.ca2004.1_all.deb
Size: 1135080
MD5sum: 74ed44dbdece486872a64babf35a973e
SHA1: b1d602dc100912072f80ae6fff4cc85263c0908a
SHA256: 4e1267c84cc800b1c4925041bdecb895cd9d614142fee1b7a3e32c1551a64ea8
SHA512: 4ead280ad0060a7392ad18faf18b14fd181b2c965afc764e777898ce6e70fc252132a35f0d181d45f42ee3f3144620fa36c366a59721debae80dcc6370d6636f
Homepage: https://cran.r-project.org/package=tnet
Description: CRAN Package 'tnet' (Weighted, Two-Mode, and Longitudinal Networks Analysis)
 Binary ties limit the richness of network analyses as relations are unique.
 The two-mode structure contains a number of features lost when projection it
 to a one-mode network. Longitudinal datasets allow for an understanding of
 the causal relationship among ties, which is not the case in cross-sectional
 datasets as ties are dependent upon each other.

Package: r-cran-tnl.test
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-partitions, r-cran-plyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tnl.test_0.1.0-1.ca2004.1_all.deb
Size: 53848
MD5sum: 178f246ef7e16302e9e4ecc5a9ba1759
SHA1: 127543eec51ddc48a7bf4e6a4e54b00d16f1e669
SHA256: 8f6cafd17d1707a66b3ac50279ae3b21829d16dd94bea48fb742af88c8581f7b
SHA512: 107fc961cf44040a4cf83650ffbfee80ef53bb4244c8500236d63093c261eaed96655fcb1107036bbbaab523d32df19483185a569b09999a8c17d81ced6cbab0
Homepage: https://cran.r-project.org/package=tnl.Test
Description: CRAN Package 'tnl.Test' (Non-Parametric Tests for the Two-Sample Problem)
 Performing the hypothesis tests for the two sample problem based on order
 statistics and power comparisons.  Calculate the test statistic, density,
 distribution function, quantile function, random number generation and
 others.

Package: r-cran-tnrs
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-tnrs_0.3.6-1.ca2004.1_all.deb
Size: 54948
MD5sum: 0a1b79c24e243189f26ba6dc5282dc72
SHA1: dbe02f0e66ee7b75532b2b9e852ae274a4c225d4
SHA256: 15aa705cb057abc75d4d24b1adfe2f05c9667b0c809f7ad56c116bdd5e88bd56
SHA512: 836441b57adb15f9a1042f82959305e1bf7b51c80a78fc15a70c80de9b1768ce79e55a61eaba6a8bad7ece0ac5f526e02ddec144d6677d8cdb6b088e8eaa8adc
Homepage: https://cran.r-project.org/package=TNRS
Description: CRAN Package 'TNRS' (Taxonomic Name Resolution Service)
 Provides access to the Taxonomic Name Resolution Service
 <https://github.com/ojalaquellueva/tnrsapi> through R.  The user supplies
 plant taxonomic names and the package returns resolved taxonomic names along
 with information on decisions.  Optionally, the package can also be used to
 parse taxonomic names.

Package: r-cran-tntpr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1414
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-colorspace, r-cran-dplyr, r-cran-extrafont, r-cran-formattable, r-cran-ggplot2, r-cran-janitor, r-cran-keyring, r-cran-labelled, r-cran-lubridate, r-cran-microsoft365r, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rstudioapi, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-ggridges, r-cran-ggalt, r-cran-forcats, r-cran-qualtrics, r-cran-haven, r-cran-readxl, r-cran-writexl
Filename: pool/dists/focal/main/r-cran-tntpr_1.2.1-1.ca2004.1_all.deb
Size: 1180580
MD5sum: 36c47fd68bbd221c9fa25d91f155492d
SHA1: cf2f4267419e180736e10eeefed2ba1f4146f9e4
SHA256: ec4af4df4f5e335581872a2172aaee574bf0d7c5b01d305ed407b63695f49deb
SHA512: 0dbe0d04228ec771d81b5c97c2d3db90f35ded670abe0cc2af37fa4daa3b618d0f57b16f2d120f227de357af417d43e44d01e06c08a53dac4874bd7091e92fba
Homepage: https://cran.r-project.org/package=tntpr
Description: CRAN Package 'tntpr' (Data Analysis Tools Customized for TNTP)
 An assortment of functions and templates customized to meet the needs of
 data analysts at the non-profit organization TNTP.  Includes functions for
 branded colors and plots, credentials management, repository set-up, and
 other common analytic tasks.

Package: r-cran-toastui
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2719
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-magrittr, r-cran-phosphoricons, r-cran-rlang, r-cran-shiny, r-cran-shinywidgets
Suggests: r-cran-apexcharter, r-cran-bslib, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-toastui_0.4.0-1.ca2004.1_all.deb
Size: 1094696
MD5sum: 211105103670e096e44fd6e5888d767b
SHA1: 3c32b74fc022b991c913d1cb2c63039e247dc333
SHA256: 1e6acfd60efc4aed3a700bdaa9cd9a7aa20b51c120460bd11916cf958d6099cf
SHA512: 01bd34aa11cd14f7c75c86dbb2c6506d42d57bcaa9bbe8c72a73be62596dd2d6d8b7b08922866c6426cb31288ca8cf59b81b06e19691bd02c042e7039c252197
Homepage: https://cran.r-project.org/package=toastui
Description: CRAN Package 'toastui' (Interactive Tables, Calendars and Charts for the Web)
 Create interactive tables, calendars, charts and markdown WYSIWYG editor
 with 'TOAST UI' <https://ui.toast.com/> libraries to integrate in 'shiny'
 applications or 'rmarkdown' 'HTML' documents.

Package: r-cran-tobit1
Architecture: all
Version: 0.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1303
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-tibble, r-cran-rdpack, r-cran-formula, r-cran-prediction, r-cran-margins, r-cran-generics
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-aer, r-cran-censreg, r-cran-dplyr, r-cran-ggplot2, r-cran-modelsummary, r-cran-bookdown, r-cran-cmtest
Filename: pool/dists/focal/main/r-cran-tobit1_0.1-3-1.ca2004.1_all.deb
Size: 813576
MD5sum: 7b246e564745facc99a2f040f7f150c5
SHA1: 5ec16e0e0fd7494f9321187ff9a1606110dbe4db
SHA256: 141ed01a1e2cab93fb6ee4775cbdab0e3c2a8a3d030b90807af85ea7f0251227
SHA512: f5286d8c51064398055b31b2174b44780f44d4531da2a60652a044c46d2dcc22b96905f4a7c66b6e7bc83a4add9346d8d5c235c1106a0bc900f00fe995a72816
Homepage: https://cran.r-project.org/package=tobit1
Description: CRAN Package 'tobit1' (One Equation Tobit Model)
 A set of estimators and tests for models for which the response is
 truncated. The package includes a lot of developments following the seminal
 paper of Tobin (1958) <doi:10.2307/1907382>.

Package: r-cran-toc
Architecture: all
Version: 0.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 971
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-bit
Filename: pool/dists/focal/main/r-cran-toc_0.0-6-1.ca2004.1_all.deb
Size: 256956
MD5sum: 6247666b2629623c1282bece94051574
SHA1: 6c2be689ea08a534e6ddb710f17d45c2699cba91
SHA256: 67208a3a3d6f6cdb00fda4a68f2dc92aab2798ef3d31a9870d9e5717ae5b228a
SHA512: e58baaf9243441da1cb2f07efffd77e8e53dcbe3b4cab8f274ea6b998d527006968a9f805846793974cc6af1401554b065fdd4f5ab0fdb137ea3d51f567504b7
Homepage: https://cran.r-project.org/package=TOC
Description: CRAN Package 'TOC' (Total Operating Characteristic Curve and ROC Curve)
 Construction of the Total Operating Characteristic (TOC) Curve and the
 Receiver (aka Relative) Operating Characteristic (ROC) Curve for spatial and
 non-spatial data. The TOC method is a modification of the ROC method which
 measures the ability of an index variable to diagnose either presence or
 absence of a characteristic. The diagnosis depends on whether the value of
 an index variable is above a threshold. Each threshold generates a
 two-by-two contingency table, which contains four entries: hits (H), misses
 (M), false alarms (FA), and correct rejections (CR). While ROC shows for
 each threshold only two ratios, H/(H + M) and FA/(FA + CR), TOC reveals the
 size of every entry in the contingency table for each threshold (Pontius
 Jr., R.G., Si, K. 2014. <doi:10.1080/13658816.2013.862623>).

Package: r-cran-todor
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-rex, r-cran-rstudioapi, r-cran-r.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-todor_0.1.2-1.ca2004.1_all.deb
Size: 42184
MD5sum: ca5485a56b1c8627412e03ed13279e29
SHA1: 557f29357c3addf7678ea8f1f5fb5d8d3eedb849
SHA256: 8d5a50159775a9381bab0d28abb42a076264136c4f03585e0e57b83b8d05006c
SHA512: 5e4116ac984d4466850b3398966feeac0010b6ad7f37ac33a9b20693ac135ebb35084701ca110d1175080d3c7a378beb5872b727c3b4f0dfb830f4813e32ad66
Homepage: https://cran.r-project.org/package=todor
Description: CRAN Package 'todor' (Find All TODO Comments and More)
 This is a simple addin to 'RStudio' that finds all 'TODO', 'FIX ME',
 'CHANGED' etc. comments in your project and shows them as a markers list.

Package: r-cran-togglr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-cachem, r-cran-dplyr, r-cran-getpass, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-keyring, r-cran-lubridate, r-cran-magrittr, r-cran-memoise, r-cran-parsedate, r-cran-prettyunits, r-cran-purrr, r-cran-rappdirs, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-togglr_0.2.1-1.ca2004.1_all.deb
Size: 104580
MD5sum: da4a77684c873e7152ef8dcaa79efb79
SHA1: cbe23d96cff64510d20a08ced55f82db91965c98
SHA256: 699164b1405e4f58f4f4e701480052b23e7f86dffbd7a312eb317904095905bf
SHA512: 530286443a8d8f16870638d41805059c48641fcb506b9ed0665a7773d876cffae299b2185501184adaf6fc6d1e7e9370ab8a5e4f19c4230b38cc1b3ceb215a1a
Homepage: https://cran.r-project.org/package=togglr
Description: CRAN Package 'togglr' ('Toggl.com' Api for 'Rstudio')
 Use the <https://toggl.com> time tracker api through R.

Package: r-cran-tohm
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-matrix, r-cran-nloptr, r-cran-rmpfr, r-cran-eql
Filename: pool/dists/focal/main/r-cran-tohm_1.4-1.ca2004.1_all.deb
Size: 63048
MD5sum: 19fc07d235e542b5fa3081e4a8ef3a20
SHA1: f2a10c14833024f8b183e975264ac53cda455ec1
SHA256: 1eefa42ad40226190526ef70ea57fba6e6f9a3c2ee0008cfe543ac795ea29fc3
SHA512: 7a43952024f0c63cd68d550c71501986e41acd86e662f8f7d32c5008ac30fdc7087e33822a173776567b95bca232f85733896f01c9c704b336e6fc56f9051137
Homepage: https://cran.r-project.org/package=TOHM
Description: CRAN Package 'TOHM' (Testing One Hypothesis Multiple Times)
 Approximations of global p-values when testing hypothesis in presence of
 non-identifiable nuisance parameters. The method relies on the Euler
 characteristic heuristic and the expected Euler characteristic is
 efficiently computed by in Algeri and van Dyk (2018) <arXiv:1803.03858>.

Package: r-cran-tolerance
Architecture: all
Version: 3.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 666
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-tolerance_3.0.0-1.ca2004.1_all.deb
Size: 619292
MD5sum: 0b1ec0aa65334a3304eb9ca8035362aa
SHA1: 382222bc06664137dddff05c55d942a02efd17cb
SHA256: a2a06c2b5599939f310f9fe156f8ea0b5387c0b84fdd99ca6ace5624b6947397
SHA512: f395f34b7886c398d3adab2a5e3c15aaf8efcccc04cde51dbd68be64393a212c228fd477eb04b5ff0ba535455c98160c98dfc1fdb4203d91fe894a2027cd1765
Homepage: https://cran.r-project.org/package=tolerance
Description: CRAN Package 'tolerance' (Statistical Tolerance Intervals and Regions)
 Statistical tolerance limits provide the limits between which we can expect
 to find a specified proportion of a sampled population with a given level of
 confidence.  This package provides functions for estimating tolerance limits
 (intervals) for various univariate distributions (binomial, Cauchy, discrete
 Pareto, exponential, two-parameter exponential, extreme value,
 hypergeometric, Laplace, logistic, negative binomial, negative
 hypergeometric, normal, Pareto, Poisson-Lindley, Poisson, uniform, and
 Zipf-Mandelbrot), Bayesian normal tolerance limits, multivariate normal
 tolerance regions, nonparametric tolerance intervals, tolerance bands for
 regression settings (linear regression, nonlinear regression, nonparametric
 regression, and multivariate regression), and analysis of variance tolerance
 intervals.  Visualizations are also available for most of these settings.

Package: r-cran-tomba
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tomba_1.0.1-1.ca2004.1_all.deb
Size: 58340
MD5sum: 4596fd400f2fc76b0e785688c3602c0b
SHA1: 9c1c3dd16183a06fd71f3dc1e02e6c7633f957f5
SHA256: 51b29d54935d14aa9fb861eba3b38f5c364fdb715111fd2c7932087205bd0e9a
SHA512: 5977a68e47f3da7bcf8d6af99d161c251ac19059eb6253e135bd341495f87eb46e7a7bb6c0e0ee259df85654bf5e08933556ef2a75f0dc739298b6ef7289c108
Homepage: https://cran.r-project.org/package=tomba
Description: CRAN Package 'tomba' (Official R Library for Tomba Email Finder)
 Email Finder R Client Library.  Search emails are based on the website You
 give one domain name and it returns all the email addresses found on the
 internet.  Email Finder generates or retrieves the most likely email address
 from a domain name, a first name and a last name.  Email verify checks the
 deliverability of a given email address, verifies if it has been found in
 our database, and returns their sources.

Package: r-cran-tomicsvis
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6397
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-bioc-biobase, r-cran-e1071, r-cran-ggplot2, r-cran-ggsci, r-cran-reshape2, r-cran-ggpubr, r-cran-ggcorrplot, r-cran-ggforce, r-cran-vegan, r-cran-venn, r-cran-upsetr, r-cran-circlize, r-cran-randomcolor, r-bioc-complexheatmap, r-bioc-enhancedvolcano, r-cran-ggally, r-cran-survival, r-cran-survminer, r-cran-rtsne, r-cran-umap, r-cran-dplyr, r-cran-tidyr, r-bioc-clusterprofiler, r-bioc-enrichplot, r-cran-ggnewscale, r-cran-igraph, r-cran-wgcna, r-cran-stringr, r-cran-pheatmap, r-cran-rcolorbrewer, r-cran-ggpolypath, r-cran-factoextra, r-cran-ggrepel, r-cran-cowplot, r-cran-ggplotify, r-cran-plotrix, r-bioc-mfuzz, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tomicsvis_2.0.0-1.ca2004.1_all.deb
Size: 3602656
MD5sum: 47ced45c782ac911d3234f0c85fff123
SHA1: e1bc87b78e4c6887aa5e1b4d6f366b1f19ea28ea
SHA256: 4f5e8abaa983c59545c8ccd1c3a3acef0291b0055e7d30564787738880f857ef
SHA512: f3e56bff322e5b0f9bb8b30167b2c464e6a2ab87135bb0057dc3b1bffa9831e27f080cdb35cefd001748a17c25d41e0fe677bccc5912c663af206aec8c3bd66e
Homepage: https://cran.r-project.org/package=TOmicsVis
Description: CRAN Package 'TOmicsVis' (Transcriptome Visualization Process Scheme)
 Transcriptome visualization from sample trait statistics to gene expression
 analysis. Six categories include "Samples Statistics", "Traits Analysis",
 "Differential Expression Analysis", "Advanced Analysis", "GO and KEGG
 Enrichment", "Tables Operations", with complete sample data.

Package: r-cran-tongfen
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2017
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-sf, r-cran-tibble, r-cran-rlang, r-cran-purrr, r-cran-stringr, r-cran-readr, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rcolorbrewer, r-cran-ggplot2, r-cran-geojsonsf, r-cran-cancensus, r-cran-tidycensus, r-cran-spelling, r-cran-readxl, r-cran-scales
Filename: pool/dists/focal/main/r-cran-tongfen_0.3.6-1.ca2004.1_all.deb
Size: 1636040
MD5sum: 1778388c33b5ad1de038eaddee039660
SHA1: a9688332776b99d71dfa7fcbcf7a7affe1559fed
SHA256: 3971ed024e41461369016af050ebbd74a671de1eb90e802889c54cdf21b7a319
SHA512: c5993c2d1e6c0f1e1c44c9ebd21b6884b16574bac22012f77cd32770e1e863d0f1a6df6f5327a83cd4d41db290a4d550536ffda9cdde0623e90126d924d010de
Homepage: https://cran.r-project.org/package=tongfen
Description: CRAN Package 'tongfen' (Make Data Based on Different Geographies Comparable)
 Several functions to allow comparisons of data across different geographies,
 in particular for Canadian census data from different censuses.

Package: r-cran-toolbox
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-toolbox_0.1.1-1.ca2004.1_all.deb
Size: 42016
MD5sum: 2565e268efbd9ecbdd5d00328d4f2fdc
SHA1: 0306b1c5096d62aa0ba548ca91ef1d37b18ae2a1
SHA256: e50228c308df7d10be44207c6243e4947e9242f6ee946c03fce7b613cd0a7e83
SHA512: 0f9ebe3f28730b6eee1f654cd232577fcbdd39253a6f4fa2246cb46ed1bd6e36cd3f7c1d38e56e20da74bd117f9ca21f7aba83b6f467503eb17376321012c45f
Homepage: https://cran.r-project.org/package=toolbox
Description: CRAN Package 'toolbox' (List, String, and Meta Programming Utility Functions)
 Includes functions for mapping named lists to function arguments, random
 strings, pasting and combining rows together across columns, etc.

Package: r-cran-toolmark
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-dplyr, r-cran-reshape2, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-toolmark_0.0.1-1.ca2004.1_all.deb
Size: 576736
MD5sum: b9085f11128bebfb8b62eab01fa191ba
SHA1: 6384ce0b0a98a068d8d8b8d815a077d7c0c0b15a
SHA256: 75dd14cd2f40f718569abd6ec00f3b30d4502502df5d616832b8e6971e09660b
SHA512: b34868385e2ac0e5e099cf15d6ae34309a84d73117a527338f77c24ce990f6d845b4ad412c499971140e44365858ee451492e6405e6cbbb5b6ee992f39328f87
Homepage: https://cran.r-project.org/package=toolmaRk
Description: CRAN Package 'toolmaRk' (Tests for Same-Source of Toolmarks)
 Implements two tests for same-source of toolmarks. The chumbley_non_random()
 test follows the paper "An Improved Version of a Tool Mark Comparison
 Algorithm" by Hadler and Morris (2017) <doi:10.1111/1556-4029.13640>. This
 is an extension of the Chumbley score as previously described in "Validation
 of Tool Mark Comparisons Obtained Using a Quantitative, Comparative,
 Statistical Algorithm" by Chumbley et al (2010)
 <doi:10.1111/j.1556-4029.2010.01424.x>. fixed_width_no_modeling() is based
 on correlation measures in a diamond shaped area of the toolmark as
 described in Hadler (2017).

Package: r-cran-tools4uplift
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 304
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biasedurn, r-cran-dplyr, r-cran-glmnet, r-cran-latticeextra, r-cran-lhs
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-tools4uplift_1.0.0-1.ca2004.1_all.deb
Size: 278284
MD5sum: 91cced5f0cc85dd25436e78ada00231b
SHA1: e72f3e0df5934c79da8c65bca53b026ad5489f73
SHA256: 4c669bfae33cada50cd6b613c2753aaca4c33f05b8630216bff5ee2156bf8a1d
SHA512: 4f3783f9fb85b1dc722781ca34766114e9f71e34980408b65aa23c0b3112c407bb0a84951644ed3471388d977d605833d728d0031757605c517054c45e00ab05
Homepage: https://cran.r-project.org/package=tools4uplift
Description: CRAN Package 'tools4uplift' (Tools for Uplift Modeling)
 Uplift modeling aims at predicting the causal effect of an action such as a
 marketing campaign on a particular individual. In order to simplify the task
 for practitioners in uplift modeling, we propose a combination of tools that
 can be separated into the following ingredients: i) quantization, ii)
 visualization, iii) variable selection, iv) parameters estimation and, v)
 model validation. For more details, see
 <https://dms.umontreal.ca/~murua/research/UpliftRegression.pdf>.

Package: r-cran-toolsforcoda
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-calibrate, r-cran-correlplot
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-toolsforcoda_1.1.0-1.ca2004.1_all.deb
Size: 135100
MD5sum: e346ab6912ddd7152a33bffdbb6c9a42
SHA1: c45c3cbc94ba13a3df73a98178a9a6838728def7
SHA256: 67d9d68154af5b99ba63ca2ea91c9a76896d70d6924deb46ac9ae6577bf641ff
SHA512: f6902f2f4037c3f01c4bc15cec7dd9325a396a67cdfa04639b0f05477948288fd60dd452496f13fa66ef80a0343cd0c84376ec271a86d9eb4586dd2654de5b01
Homepage: https://cran.r-project.org/package=ToolsForCoDa
Description: CRAN Package 'ToolsForCoDa' (Multivariate Tools for Compositional Data Analysis)
 Provides functions for multivariate analysis with compositional data.
 Includes a function for doing compositional canonical correlation analysis.
 This analysis requires two data matrices of compositions, which can be
 adequately transformed and used as entries in a specialized program for
 canonical correlation analysis, that is able to deal with singular
 covariance matrices. The methodology is described in Graffelman et al.
 (2017) <doi:10.1101/144584>. Functions for log-ratio principal component
 analysis with condition number computations and log-ratio discriminant
 analysis have been added to the package.

Package: r-cran-toolstability
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-data.table, r-cran-rdpack, r-cran-nortest
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-pkgdown, r-cran-pander, r-cran-xml, r-cran-httr, r-cran-rcurl, r-cran-covr
Filename: pool/dists/focal/main/r-cran-toolstability_0.1.3-1.ca2004.1_all.deb
Size: 317784
MD5sum: 0bfb4e75bb85f5fccaa38053524685ac
SHA1: 22033a49f48f119472db0b84eb9d2a98bbcaaf31
SHA256: 80074ce51085f8c5f6d4b50117ad45ea93f5a335a579f974e719fac6045d3cda
SHA512: 0014ddfce2b4ffd7ec97c2159626d4894ff7ef82fe703c3f55e5702eb511f9870c315077414b84092cf6ee42cff3f1f5ea123f05ef15d13f5b7ab5949d450f8f
Homepage: https://cran.r-project.org/package=toolStability
Description: CRAN Package 'toolStability' (Tool for Stability Indices Calculation)
 Tools to calculate stability indices with parametric, non-parametric and
 probabilistic approaches. The basic data format requirement for
 'toolStability' is a data frame with 3 columns including numeric trait
 values, genotype,and environmental labels. Output format of each function is
 the dataframe with chosen stability index for each genotype.  Function
 "table_stability" offers the summary table of all stability indices in this
 package.  This R package toolStability is part of the main publication:
 Wang, Casadebaig and Chen (2023) <doi:10.1007/s00122-023-04264-7>.  Analysis
 pipeline for main publication can be found on github:
 <https://github.com/Illustratien/Wang_2023_TAAG>.  Sample dataset in this
 package is derived from another publication: Casadebaig P, Zheng B, Chapman
 S et al. (2016) <doi:10.1371/journal.pone.0146385>.  For detailed
 documentation of dataset, please see on Zenodo <doi:10.5281/zenodo.4729636>.
 Indices used in this package are from: Döring TF, Reckling M (2018)
 <doi:10.1016/j.eja.2018.06.007>.  Eberhart SA, Russell WA (1966)
 <doi:10.2135/cropsci1966.0011183X000600010011x>.  Eskridge KM (1990)
 <doi:10.2135/cropsci1990.0011183X003000020025x>.  Finlay KW, Wilkinson GN
 (1963) <doi:10.1071/AR9630742>.  Hanson WD (1970) Genotypic stability.
 <doi:10.1007/BF00285245>.  Lin CS, Binns MR (1988).  Nassar R, Hühn M
 (1987).  Pinthus MJ (1973) <doi:10.1007/BF00021563>.  Römer T (1917).
 Shukla GK (1972).  Wricke G (1962).

Package: r-cran-toomanycellsr
Architecture: all
Version: 0.1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-imager, r-cran-ggplot2, r-cran-cowplot, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-toomanycellsr_0.1.1.0-1.ca2004.1_all.deb
Size: 21604
MD5sum: 83e8f3a349cad730f1bff02271a68d90
SHA1: 09c698bc864499e4176631d0a913eaf3bc24d017
SHA256: b79aad10fecd7e4f276b356e168fec5ecd0f619be967fcf3630878d69b6dc069
SHA512: b6bb4a771dc3f975f2900b2df5ef71a52d7ade3d838332342312e724f6ab8cafd868c41070e9036a1cdbade90681d9e3426c45cb34345febb60b45f57b0abe55
Homepage: https://cran.r-project.org/package=TooManyCellsR
Description: CRAN Package 'TooManyCellsR' (An R Wrapper for 'TooManyCells')
 An R wrapper for using 'TooManyCells', a command line program for
 clustering, visualizing, and quantifying cell clade relationships. See
 <https://gregoryschwartz.github.io/too-many-cells/> for more details.

Package: r-cran-toordinal
Architecture: all
Version: 1.3-0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon, r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-toordinal_1.3-0.0-1.ca2004.1_all.deb
Size: 29128
MD5sum: db354d26f65fbde608957e374cbaba65
SHA1: 2aff00a8278e5aded69230a739045cf9d29b7345
SHA256: 5f664f2499d03b5eb76cc11b64a590a7c6c1531d83a5e4da18c8fff38ef4cdcf
SHA512: 3534068cafcf51c41b3b23b1d33e995c3a6b579e9cc3837184a1d241f48e06c12d389ac43ae76c5749b70eab87783768d5dea88e7e397d025bd1dc96a362fdd2
Homepage: https://cran.r-project.org/package=toOrdinal
Description: CRAN Package 'toOrdinal' (Cardinal to Ordinal Number & Date Conversion)
 Language specific cardinal to ordinal number conversion.

Package: r-cran-toothnroll
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3824
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arothron, r-cran-alphashape3d, r-cran-compositions, r-cran-morphomap, r-cran-stringr, r-cran-vegan, r-cran-lattice, r-cran-mgcv, r-cran-rvcg, r-cran-morpho, r-cran-oce, r-cran-rgl, r-cran-geometry, r-cran-colorramps, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-toothnroll_1.11-1.ca2004.1_all.deb
Size: 3882932
MD5sum: 06c7d8796858ff3fa0a7469fb667022c
SHA1: 3c81e2d9bf19b33011e559939cddce4bbc819b82
SHA256: b1350ad5c8439774c01865df79b6df20960884abe9830c1ddda6626e2d7121cb
SHA512: 1d130702fa1d9a7ad15133341ede5f2895434d9980d9210443519119b4e807ef87b97ae82dfe210f9859db96bdb47eded8206a464a618a765e018914ef79c8e3
Homepage: https://cran.r-project.org/package=Toothnroll
Description: CRAN Package 'Toothnroll' (Dental Tissues Landmarking Measuring and Mapping)
 Two- and three-dimensional morphometric maps of enamel and dentine thickness
 and multivariate analysis.  Volume calculation of dental materials.
 Principal component analysis of thickness maps with associated morphometric
 map variations.

Package: r-cran-topchef
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-magrittr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-topchef_0.2.0-1.ca2004.1_all.deb
Size: 187660
MD5sum: 0b54a3ffd8b00adaf6db9048f86def3d
SHA1: 459569d619db9313fe92d9f90a41f4cae6fcf4f0
SHA256: 6163097c5966e6752b5aa5b186a8178d83b7905cc84798cb50a92b1e5e805ae9
SHA512: 61b9be2ea57048bf2ac51927cc2f47177aa29ee8d2088c1ed36087ceb2dc2c589d4434619a569592a26978d8f7eb17ba03dd3c11078b8dab0a9505c08aed4593
Homepage: https://cran.r-project.org/package=topChef
Description: CRAN Package 'topChef' (Top Chef Data)
 Several datasets which describe the chef contestants in Top Chef, the
 challenges that they compete in, and the results of those challenges.  This
 data is useful for practicing data wrangling, graphing, and analyzing how
 each season of Top Chef played out.

Package: r-cran-topdom
Architecture: all
Version: 0.10.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4544
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-cran-ggplot2, r-cran-reshape2, r-cran-tibble
Suggests: r-cran-diffobj
Filename: pool/dists/focal/main/r-cran-topdom_0.10.1-1.ca2004.1_all.deb
Size: 4572684
MD5sum: 2beaf0946726816c47834f0479fe82ad
SHA1: 8851106986619db9df24c43b1bb041e915c10719
SHA256: ab7d391416aa63c66d3a465bcf5e7d49f0da2255b2ba0907076962e765cabef5
SHA512: b2c9db082d7b838264d7351b9dc4552c6b9889291dbf3223b11c9c37dba5e4f3c4819c0bdcb9b5877ec65b1a9bbb31199919f36d62b1bfbb2f01e332c1369409
Homepage: https://cran.r-project.org/package=TopDom
Description: CRAN Package 'TopDom' (An Efficient and Deterministic Method for IdentifyingTopological Domains in Genomes)
 The 'TopDom' method identifies topological domains in genomes from Hi-C
 sequence data (Shin et al., 2016 <doi:10.1093/nar/gkv1505>).  The authors
 published an implementation of their method as an R script (two different
 versions; also available in this package).  This package originates from
 those original 'TopDom' R scripts and provides help pages adopted from the
 original 'TopDom' PDF documentation.  It also provides a small number of bug
 fixes to the original code.

Package: r-cran-topdowntimeratio
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-geodist, r-cran-lubridate, r-cran-magrittr
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-topdowntimeratio_0.1.0-1.ca2004.1_all.deb
Size: 70596
MD5sum: f8e4e1311db801a4ebec6df37627257c
SHA1: 78aff85837a0210a265ade58b62d5d807bc1accb
SHA256: 881122978590d3c7868f9f942fecc4ddeebcd63ac98dea7f9755bd655a251c0c
SHA512: a72bb12e8f2aa56e0ae745846098ddc75f9295eca3ef0d054dde5895bd8ddea61f4c495262572369bbdadf2557c5961ade42c871025a1c7dcf22196292bf598d
Homepage: https://cran.r-project.org/package=topdowntimeratio
Description: CRAN Package 'topdowntimeratio' (Top-Down Time Ratio Segmentation for Coordinate Trajectories)
 Data collected on movement behavior is often in the form of time- stamped
 latitude/longitude coordinates sampled from the underlying movement
 behavior. These data can be compressed into a set of segments via the Top-
 Down Time Ratio Segmentation method described in Meratnia and de By (2004)
 <doi:10.1007/978-3-540-24741-8_44> which, with some loss of information, can
 both reduce the size of the data as well as provide corrective smoothing
 mechanisms to help reduce the impact of measurement error.  This is an
 improvement on the well-known Douglas-Peucker algorithm for segmentation
 that operates not on the basis of perpendicular distances. Top-Down Time
 Ratio segmentation allows for disparate sampling time intervals by
 calculating the distance between locations and segments with respect to
 time. Provided a trajectory with timestamps, tdtr() returns a set of
 straight- line segments that can represent the full trajectory. McCool,
 Lugtig, and Schouten (2022) <doi:10.1007/s11116-022-10328-2> describe this
 method as implemented here in more detail.

Package: r-cran-topicdoc
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-slam, r-cran-topicmodels
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-topicdoc_0.1.1-1.ca2004.1_all.deb
Size: 118304
MD5sum: 1c5fa0fbcc70fa644f4488d6840c6a29
SHA1: 9bd7ad37317949e8e87b822e48519690acbb203b
SHA256: a8be4d09325fa30ea7ce5a9bbf7d731270389624548dfa1652f3331ee83f1d60
SHA512: 67e73b9ee8b5d37507603d53c55679c73a620687fe7f2f7844c7dbb89376ac2b55c1c7f52e05b5fa084fdb30272f0ab5b85c9b4b856e9aad54de955fbd0279b4
Homepage: https://cran.r-project.org/package=topicdoc
Description: CRAN Package 'topicdoc' (Topic-Specific Diagnostics for LDA and CTM Topic Models)
 Calculates topic-specific diagnostics (e.g. mean token length, exclusivity)
 for Latent Dirichlet Allocation and Correlated Topic Models fit using the
 'topicmodels' package.  For more details, see Chapter 12 in Airoldi et al.
 (2014, ISBN:9781466504080), pp 262-272 Mimno et al. (2011,
 ISBN:9781937284114), and Bischof et al. (2014) <arXiv:1206.4631v1>.

Package: r-cran-topiclabels
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-httr, r-cran-progress, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-topiclabels_0.2.0-1.ca2004.1_all.deb
Size: 178816
MD5sum: 2b7b02972d9ceda1ec32588ae6af9697
SHA1: 53e4da8d508aa0b80af0f225e10d85dfdea7d66b
SHA256: d9362fcb1bda847e70f546738c9047fd7ccc9f67d6929cbffa42da6f3ec9f4cf
SHA512: dbf3f637637e2f75453d7cd917ea9866f2808d8e3383f0e6d46ba3ae4a462917713b3e3e10579d6a5286e6b0dac34a6addf638274b262ec5419d9f3342af0549
Homepage: https://cran.r-project.org/package=topiclabels
Description: CRAN Package 'topiclabels' (Automated Topic Labeling with Language Models)
 Leveraging (large) language models for automatic topic labeling. The main
 function converts a list of top terms into a label for each topic. Hence, it
 is complementary to any topic modeling package that produces a list of top
 terms for each topic. While human judgement is indispensable for topic
 validation (i.e., inspecting top terms and most representative documents),
 automatic topic labeling can be a valuable tool for researchers in various
 scenarios.

Package: r-cran-topicmodels.etm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-torch
Suggests: r-cran-udpipe, r-cran-word2vec, r-cran-uwot, r-cran-tinytest, r-cran-textplot, r-cran-ggrepel, r-cran-ggalt
Filename: pool/dists/focal/main/r-cran-topicmodels.etm_0.1.0-1.ca2004.1_all.deb
Size: 4109680
MD5sum: 21230b126997cd84c7cfd51fa8bd0716
SHA1: 0fbf0a43e4cc4ac77c1c2709326ad5eecb32e149
SHA256: 4287463eaa84589374293a5c1b588f88a21333391d32b2f1bc83fa6dc20b523c
SHA512: b5edadf97701d34191a1f704bbf86935efa995d1b0e82825f470160cc7c06f4f5e63ebac676928ec881bb12d11a40152fd633d84905328102c6565504658b5f1
Homepage: https://cran.r-project.org/package=topicmodels.etm
Description: CRAN Package 'topicmodels.etm' (Topic Modelling in Embedding Spaces)
 Find topics in texts which are semantically embedded using techniques like
 word2vec or Glove.  This topic modelling technique models each word with a
 categorical distribution whose natural parameter is the inner product
 between a word embedding and an embedding of its assigned topic.  The
 techniques are explained in detail in the paper 'Topic Modeling in Embedding
 Spaces' by Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei (2019),
 available at <arXiv:1907.04907>.

Package: r-cran-topics
Architecture: all
Version: 0.50-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4408
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-textminer, r-cran-ggplot2, r-cran-dplyr, r-cran-mallet, r-cran-rjava, r-cran-ggwordcloud, r-cran-tibble, r-cran-readr, r-cran-stopwords, r-cran-matrix, r-cran-ngram, r-cran-stringr, r-cran-rlang, r-cran-tidyr, r-cran-purrr, r-cran-data.table
Suggests: r-cran-text, r-cran-glmnet, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-topics_0.50-1.ca2004.1_all.deb
Size: 2858160
MD5sum: 2d8aa3409a28b9a14de8ec9d924d6d0e
SHA1: 63e9bbb7d546146253df57852e568da807b93597
SHA256: 64780ee44aa76635f526c7b0054ab88b681c182aa9f7419f561bb4b8527d2546
SHA512: af1e3a58420ad444525ff15bbbd833b0c5cd422064683a35e8f20fbec2e0d75a9a154e668760f044500f6da4b9ca79586391a4dbbb556c561eb1e7f934f8f561
Homepage: https://cran.r-project.org/package=topics
Description: CRAN Package 'topics' (Creating and Significance Testing Language Features forVisualisation)
 Implements differential language analysis with statistical tests and offers
 various language visualization techniques for n-grams and topics. It also
 supports the 'text' package. For more information, visit
 <https://r-topics.org/> and <https://www.r-text.org/>.

Package: r-cran-topicscore
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 790
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rspectra, r-cran-combinat, r-cran-quadprog, r-cran-matrix, r-cran-slam
Filename: pool/dists/focal/main/r-cran-topicscore_0.0.1-1.ca2004.1_all.deb
Size: 770140
MD5sum: d70f65a584571457add946e6210ce980
SHA1: 42a0fca0065d48aca7d6477bb837b904de009e98
SHA256: 52476e7dd07d7b5bcc3f516d100d2e646a9ba09d78a4273d63719813dcffd3f3
SHA512: 772351f9a02c917c389a3f4397c58e5bd309cedce8d6d0c66f0825b59a209869cd0562c486c3e79f29de2c1e8919400a5a194318da3d0b20d99e1f9b05a85017
Homepage: https://cran.r-project.org/package=TopicScore
Description: CRAN Package 'TopicScore' (The Topic SCORE Algorithm to Fit Topic Models)
 Provides implementation of the "Topic SCORE" algorithm that is proposed by
 Tracy Ke and Minzhe Wang. The singular value decomposition step is optimized
 through the usage of svds() function in 'RSpectra' package, on a 'dgRMatrix'
 sparse matrix. Also provides a column-wise error measure in the word-topic
 matrix A, and an algorithm for recovering the topic-document matrix W given
 A and D based on quadratic programming.  The details about the techniques
 are explained in the paper "A new SVD approach to optimal topic estimation"
 by Tracy Ke and Minzhe Wang (2017) <arXiv:1704.07016>.

Package: r-cran-topksignal
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreach, r-cran-doparallel, r-cran-nloptr, r-cran-matrix, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-topksignal_1.0-1.ca2004.1_all.deb
Size: 137248
MD5sum: dcd6ad277f10c2d14e6dc726019cb9eb
SHA1: 7ad8c1f2d4050ba99bfb81af6e0599267b87eabe
SHA256: 6cb75280ddad0b460199525b6d921d09bb2e5437b7e2896239265e9195393a9d
SHA512: 1de36800255ffcfe1b9709abf64197567be1217b0dbc4f477364a05ce25972697e00dd4e2ba846bc86e20ccdc66c5eb3cfc9d75cd724f111729a3b3343e97145
Homepage: https://cran.r-project.org/package=TopKSignal
Description: CRAN Package 'TopKSignal' (A Convex Optimization Tool for Signal Reconstruction fromMultiple Ranked Lists)
 A mathematical optimization procedure in combination with statistical
 bootstrap for the estimation of the latent signals (sometimes called scores)
 informing the global consensus ranking (often named aggregation ranking). To
 solve mid/large-scale problems, users should install the 'gurobi' optimiser
 (available from <https://www.gurobi.com/>).

Package: r-cran-topodistance
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1008
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gdistance, r-cran-plotly, r-cran-raster, r-cran-rcolorbrewer, r-cran-scales, r-cran-sp
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-topodistance_1.0.2-1.ca2004.1_all.deb
Size: 884152
MD5sum: 920ee39762355a59da02e38f58e4c189
SHA1: 485e86b12c5ebeb9b5b34fe9298ce216f1a3e5e0
SHA256: 4befb1265b1bbe5c212cf3f6239a7238b3e4410de61906530a2b8eadd88054f4
SHA512: 528cdf424d88db2fc094cce7c9e36b6b76325a7aa2f517a341048de83ea168dd8e349b68eae2d8ac8b4f4512bed8e87d8cfecfce155a96862331f5d669ed7f1b
Homepage: https://cran.r-project.org/package=topoDistance
Description: CRAN Package 'topoDistance' (Calculating Topographic Paths and Distances)
 A toolkit for calculating topographic distances and identifying and plotting
 topographic paths. Topographic distances can be calculated along shortest
 topographic paths (Wang (2009) <doi:10.1111/j.1365-294X.2009.04338.x>),
 weighted topographic paths (Zhan et al. (1993)
 <doi:10.1007/3-540-57207-4_29>), and topographic least cost paths (Wang and
 Summers (2010) <doi:10.1111/j.1365-294X.2009.04465.x>). Functions can map
 topographic paths on colored or hill shade maps and plot topographic cross
 sections (elevation profiles) for the paths.

Package: r-cran-topologygsa
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-graph, r-cran-grbase, r-bioc-qpgraph, r-cran-fields, r-cran-igraph
Suggests: r-bioc-rgraphviz
Filename: pool/dists/focal/main/r-cran-topologygsa_1.5.0-1.ca2004.1_all.deb
Size: 73788
MD5sum: abef7b0b4c8c264b44a4f4a6e1acc393
SHA1: 614b958ecaddabeb55bd1fb95073f9eaafdb5ecc
SHA256: 0cacfd92c57d7482fb1d52c381a0481d0fdfcc922331d8d6176724a76f35f3b8
SHA512: 8e0f8d148bdaafc98e906854709509f9196d1adb1447d9e0032c7db47cbda8f47e0c44691fb47d0983934040bb96e70945f14eb26de58c7943a02d056f70d2eb
Homepage: https://cran.r-project.org/package=topologyGSA
Description: CRAN Package 'topologyGSA' (Gene Set Analysis Exploiting Pathway Topology)
 Using Gaussian graphical models we propose a novel approach to perform
 pathway analysis using gene expression. Given the structure of a graph (a
 pathway) we introduce two statistical tests to compare the mean and the
 concentration matrices between two groups. Specifically, these tests can be
 performed on the graph and on its connected components (cliques). The
 package is based on the method described in Massa M.S., Chiogna M., Romualdi
 C. (2010) <doi:10.1186/1752-0509-4-121>.

Package: r-cran-toposort
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-cli, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-toposort_1.0.0-1.ca2004.1_all.deb
Size: 34096
MD5sum: 0fac280a7ed4435740e2ce2afb8f68b9
SHA1: 545effffcda270681c0c46d8e41b4d0d861e63f4
SHA256: 49445c5114c0f43fbbcf34ae9cd5f3d2d57edb378b77b86d1e7c031425862cff
SHA512: 144ec19a03eb96d7a92991568368d7dc2dad126681a864b310073aa28a99bdae190133fb887bc5adc45cca3d95d418e1cd657b5e7792342e5ab1c5d78818d63a
Homepage: https://cran.r-project.org/package=toposort
Description: CRAN Package 'toposort' (Topological Sorting Algorithms)
 Flexible and ergonomic topological sorting implementation for R. Supports a
 variety of input data encoding (lists of edges or adjacency matrices, graphs
 edge direction), stable sort variants as well as cycle detection with
 detailed diagnosis.

Package: r-cran-topr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4553
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-stringr, r-cran-scales, r-cran-ggrepel, r-cran-egg, r-cran-gridextra, r-cran-magrittr, r-cran-tidyr, r-cran-enshuman
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-topr_2.0.2-1.ca2004.1_all.deb
Size: 4002292
MD5sum: 01572d4c092bb3f761406be36144daff
SHA1: c2b871be13e57154141f7b1c6af1a069276e6722
SHA256: c677ec092172049c767998e237caf097693d007ed7c5b7f0d84a3976e8821e7f
SHA512: 9aa4073e1797b5c765687495692f7ca900fc1773ee97dd534a2da8405eb9b2957b65ef4567144b64be038778d7b9861fc8021114b0741476a58594491b712d5a
Homepage: https://cran.r-project.org/package=topr
Description: CRAN Package 'topr' (Create Custom Plots for Viewing Genetic Association Results)
 A collection of functions for visualizing,exploring and annotating genetic
 association results.Association results from multiple traits can be viewed
 simultaneously along with gene annotation, over the entire genome (Manhattan
 plot) or in the more detailed regional view.

Package: r-cran-toprdata
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7397
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-toprdata_1.0.2-1.ca2004.1_all.deb
Size: 7540420
MD5sum: 1a62d1107d93d462a240efabaf467d4c
SHA1: 9517036191c4aaa95f7d381a0f5d847605d97f74
SHA256: fc6c07d194ac4b02201a116aa6fdda2baf59f51fb0fa219b5acd7b50b33ad70d
SHA512: 038aafc7ba2e8311c0f4fae20c825b6aeb3482fb030c490963bd9fc7afdaef81d4b9aea8189053ca3a405c80d9985552619d1eda134382d053309292e9b6f915
Homepage: https://cran.r-project.org/package=toprdata
Description: CRAN Package 'toprdata' (Gene and Exon Data from Ensembl)
 Gene and exon information from Ensembl genome builds GRCh38.p13 (104) and
 GRCh37 (v40) to use with the 'topr' package.

Package: r-cran-topsis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-topsis_1.0-1.ca2004.1_all.deb
Size: 11772
MD5sum: 6dee1d2f19e290a2087674249056fd9f
SHA1: ea9b8f73daec6b67ed3db565c736be6053bf9e88
SHA256: c049328150a597c993c16789173755e1a60d4a2c79928df93a45f6786531d045
SHA512: e39be24415f6db0ebb5c5799b0ae8034f22506cfbf40bbca1d5022f493ea85884b1015945e7eb92443cb1a8e21d304b63b2dd140feee90c60c8a367cb8ef09c0
Homepage: https://cran.r-project.org/package=topsis
Description: CRAN Package 'topsis' (TOPSIS method for multiple-criteria decision making (MCDM))
 Evaluation of alternatives based on multiple criteria using TOPSIS method.

Package: r-cran-topsiswm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-topsiswm_1.0.3-1.ca2004.1_all.deb
Size: 16636
MD5sum: 5e6ee12a0495c860c2903e41c0297d54
SHA1: 093439e1ac3c37b5422f669aa5aeaf5069af726e
SHA256: d77f1f84afcd4f1b24adb8368c28c5f9c1c6138d10a678cc1ad05a081151088d
SHA512: 68408f328012014d8549807ade01cef54e44312c8d250115a174c8961c04c4f317324f091506db8cdab3b9ff0fc53ace90516d52ee80a93499156cdb3f3b767e
Homepage: https://cran.r-project.org/package=TopSisWM
Description: CRAN Package 'TopSisWM' (Multi-Criteria Method for Decision (TOPSIS))
 Assists in the TOPSIS analysis process, designed to return at the end of the
 answer of the TOPSIS multicriteria analysis, a ranking table with the best
 option as the analysis proposes. TOPSIS is basically a technique developed
 by Hwang and Yoon in 1981, starting from the point that the best alternative
 should be closest to the positive ideal solution and farthest from the
 negative one, based on several criteria to result in the best benefit. (LIU,
 H. et al., 2019) <doi:10.1016/j.agwat.2019.105787>.

Package: r-cran-tor
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-readr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tor_1.1.3-1.ca2004.1_all.deb
Size: 31284
MD5sum: 3cff1bbea9460e816db70e2fa5f63363
SHA1: fba305142157b66e45a738df7ad50471ea4dc7a9
SHA256: 993c6150e81efdf9afd358004a835e3975614814dd9fe78feb976169796f9945
SHA512: 4987f567e7d93a80e5b9ec8a936618c670d9373490dab9682adba733c531c6f2b9fe1a91bc6e4a786f00740970dd23587e920a67ddc45f58864e8550401c66f4
Homepage: https://cran.r-project.org/package=tor
Description: CRAN Package 'tor' (Import Multiple Files From a Single Directory at Once)
 The goal of tor (to-R) is to help you to import multiple files from a single
 directory at once, and to do so as quickly, flexibly, and simply as
 possible.

Package: r-cran-torchaudio
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2565
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-torch, r-cran-av, r-cran-fs, r-cran-rlang, r-cran-glue
Suggests: r-cran-testthat, r-cran-tuner, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-numbers, r-cran-purrr, r-cran-scales, r-cran-httr, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-torchaudio_0.3.1-1.ca2004.1_all.deb
Size: 2068240
MD5sum: cef318f1610a1e69a4a088b351832787
SHA1: f99ce02df68acb8e39cda3bbd937a8e299ddb429
SHA256: 00d06805b51546a8582e46ece4202519fd9d4bf3b6ca7894807f21f69066ea37
SHA512: 78212af11cddc2fdaba6fea8dd405f40589246499f7bc0f50d344754b84dc308de243b9bf8472f1c0e77538786b62b426099d9875a81c16d4f70475f72eb5314
Homepage: https://cran.r-project.org/package=torchaudio
Description: CRAN Package 'torchaudio' (R Interface to 'pytorch''s 'torchaudio')
 Provides access to datasets, models and processing facilities for deep
 learning in audio.

Package: r-cran-torchdatasets
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-torch, r-cran-fs, r-cran-zip, r-cran-pins, r-cran-torchvision, r-cran-stringr, r-cran-withr
Suggests: r-cran-testthat, r-cran-readr, r-cran-coro, r-cran-tokenizers, r-cran-r.matlab
Filename: pool/dists/focal/main/r-cran-torchdatasets_0.3.1-1.ca2004.1_all.deb
Size: 170124
MD5sum: a273845d9ec28b71e52c4d22a881554f
SHA1: 9e47dfb614ed6046868da2b71c47d1fd09ae4d08
SHA256: 47915e2edd893c334b7a273e6b7713f7eb15f0a5f067c5ef059a8445ba9a952d
SHA512: d835c0a15afa738ffe170d4b580ab97a154d6cddf298084f2b622fdc05d8c00032e1e83b95355649604ce696a5c7193fcd0fb0b0a07901b3a7923e90f5c9f446
Homepage: https://cran.r-project.org/package=torchdatasets
Description: CRAN Package 'torchdatasets' (Ready to Use Extra Datasets for Torch)
 Provides datasets in a format that can be easily consumed by torch
 'dataloaders'.  Handles data downloading from multiple sources, caching and
 pre-processing so users can focus only on their model implementations.

Package: r-cran-torchopt
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-torch
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-torchopt_0.1.4-1.ca2004.1_all.deb
Size: 191732
MD5sum: 4e49c0843a6b52e731dd33a10bc1db2f
SHA1: 98ecea313329a4bbe451a22b8e2ecf0e6956d2cb
SHA256: 2cf7f8aceb8aebd5614574a7f75d1f84ef72460c92b8bf9f11a00d13daeb4a61
SHA512: 5c48d00a4708aa2abbb8f4cd38726d0a349aac0718499f5d2ccd63f9d28df9ab7fce6cbbac78dd87a5cbdef7a6aff8ce4dbae6e326c17705257f9f29a483cf21
Homepage: https://cran.r-project.org/package=torchopt
Description: CRAN Package 'torchopt' (Advanced Optimizers for Torch)
 Optimizers for 'torch' deep learning library. These functions include recent
 results published in the literature and are not part of the optimizers
 offered in 'torch'. Prospective users should test these optimizers with
 their data, since performance depends on the specific problem being solved.
 The packages includes the following optimizers: (a) 'adabelief' by Zhuang et
 al (2020), <arXiv:2010.07468>; (b) 'adabound' by Luo et al.(2019),
 <arXiv:1902.09843>; (c) 'adahessian' by Yao et al.(2021) <arXiv:2006.00719>;
 (d) 'adamw' by Loshchilov & Hutter (2019), <arXiv:1711.05101>; (e) 'madgrad'
 by Defazio and Jelassi (2021), <arXiv:2101.11075>; (f) 'nadam' by Dozat
 (2019), <https://openreview.net/pdf/OM0jvwB8jIp57ZJjtNEZ.pdf>; (g) 'qhadam'
 by Ma and Yarats(2019), <arXiv:1810.06801>; (h) 'radam' by Liu et al.
 (2019), <arXiv:1908.03265>; (i) 'swats' by Shekar and Sochee (2018),
 <arXiv:1712.07628>; (j) 'yogi' by Zaheer et al.(2019),
 <https://papers.nips.cc/paper/8186-adaptive-methods-for-nonconvex-optimization>.

Package: r-cran-torchvision
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 564
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-torch, r-cran-fs, r-cran-rlang, r-cran-rappdirs, r-cran-jpeg, r-cran-magrittr, r-cran-png, r-cran-abind, r-cran-withr
Suggests: r-cran-magick, r-cran-testthat, r-cran-coro
Filename: pool/dists/focal/main/r-cran-torchvision_0.6.0-1.ca2004.1_all.deb
Size: 500744
MD5sum: 104aa74992eeaa274c673c986a0128ff
SHA1: 490f9fe77621f6b132c2ba1d8a86067183572a03
SHA256: e8917696fcab779813e231dd50467e2c9766c1b2c46954cb1d0637630b0dc6f2
SHA512: c4a6f0aa21327325e1dcd0aa131896202d79ce5f13e7669556e49bc767b0f6d196aab6aa815f6e9dc644fc48e4a96bd22d2b6e3c70080e4370654de6d590b77e
Homepage: https://cran.r-project.org/package=torchvision
Description: CRAN Package 'torchvision' (Models, Datasets and Transformations for Images)
 Provides access to datasets, models and preprocessing facilities for deep
 learning with images. Integrates seamlessly with the 'torch' package and
 it's 'API' borrows heavily from 'PyTorch' vision package.

Package: r-cran-tords
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 247
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tords_1.0.0-1.ca2004.1_all.deb
Size: 164600
MD5sum: 8856911ad6296ad4f4e4d7fa0b563e6f
SHA1: b36420b4a58f7dd3df95cc1b37ef8871c448c68c
SHA256: 51422883cc1c5b388673d19c2c6ebc9d7bf0159de1faaf597e6ad67f40eea932
SHA512: e4dfa42e8e31386ebec662e95c92588d2dccc3ad9f21329323a1e956ba90bc3a38b59d8880b07c0046fc4797155bc03a3dac6f23455be69145d2c83b3d123e29
Homepage: https://cran.r-project.org/package=TORDs
Description: CRAN Package 'TORDs' (Third Order Rotatable Designs (TORDs))
 Third order response surface designs (M. Hemavathi, Shashi Shekhar, Eldho
 Varghese, Seema Jaggi, Bikas Sinha & Nripes Kumar Mandal (2022)
 <DOI:10.1080/03610926.2021.1944213>."Theoretical developments in response
 surface designs: an informative review and further thoughts") are classified
 into two types viz., designs which are suitable for sequential
 experimentation and designs for non-sequential experimentation (M.
 Hemavathi, Eldho Varghese, Shashi Shekhar & Seema Jaggi
 (2022)<DOI:10.1080/02664763.2020.1864817>." Sequential asymmetric third
 order rotatable designs (SATORDs)"). The sequential experimentation approach
 involves conducting the trials step by step whereas, in the non-sequential
 experimentation approach, the entire runs are executed in one go.This
 package contains functions named STORDs() and NSTORDs() for generating
 sequential/non-sequential TORDs given in Das, M. N., and V. L. Narasimham
 (1962). <DOI:10.1214/aoms/1177704374>. "Construction of rotatable designs
 through balanced incomplete block designs" along with the randomized layout.
 It also contains another function named Pred3.var() for generating the
 variance of predicted response as well as the moment matrix based on a third
 order response surface model.

Package: r-cran-tornado
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 411
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-assertthat, r-cran-ggplot2, r-cran-scales, r-cran-gridextra, r-cran-rlang
Suggests: r-cran-testthat, r-cran-caret, r-cran-glmnet, r-cran-randomforest, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tornado_0.1.3-1.ca2004.1_all.deb
Size: 224236
MD5sum: 3fb4db73d35177457be82965d717580f
SHA1: 994bac5e70d68ae80d98096867377e51be22035f
SHA256: ad98e4f8e87caaf34528eaa870d8d3e51de0b85a41b51e1f6b4cee3cf4e6d04d
SHA512: 4a8646e3a6da7091bcef329e9244066985a668f4cc55631f48a41421cb8f35561961d1b1ba58a61c506e1f470b05ee181ae92d921975c464d860a5646f3b8d0d
Homepage: https://cran.r-project.org/package=tornado
Description: CRAN Package 'tornado' (Plots for Model Sensitivity and Variable Importance)
 Draws tornado plots for model sensitivity to univariate changes.  Implements
 methods for many modeling methods including linear models, generalized
 linear models, survival regression models, and arbitrary machine learning
 models in the caret package.  Also draws variable importance plots.

Package: r-cran-torvik
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 425
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-withr
Suggests: r-cran-covr, r-cran-dbi, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tictoc
Filename: pool/dists/focal/main/r-cran-torvik_1.1.1-1.ca2004.1_all.deb
Size: 294176
MD5sum: 933e7f71eeae9c75d41b4a2581d6cf14
SHA1: 46115089e8134bc8e004dde3ffac3bafcad7748b
SHA256: 5bd12ea4aa78d2af2d2cd37714c77f73cac03fa1685d7d7334edde969179ccf6
SHA512: 41b886780fc277609e08f421b7468e3c98d54d61e1ce2eb98824a73cf04e208f5c4d70b61c7f0bd4a37b4b33e7a0d0551c732a33d85b6d0a37bc6fb0534b259d
Homepage: https://cran.r-project.org/package=toRvik
Description: CRAN Package 'toRvik' (Extensive and Tidy NCAA Men's College Basketball Data)
 An API wrapper for 'cbbstat' and a suite of functions to pull and clean
 detailed, extensive college basketball statistics from
 Barttorvik<https://barttorvik.com/>.

Package: r-cran-tosca
Architecture: all
Version: 0.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 941
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tm, r-cran-lda, r-cran-quanteda, r-cran-lubridate, r-cran-htmltools, r-cran-rcolorbrewer, r-cran-stringr, r-cran-wikipedir, r-cran-data.table
Suggests: r-cran-testthat, r-cran-knitr, r-cran-devtools, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tosca_0.3-4-1.ca2004.1_all.deb
Size: 865432
MD5sum: f78f070bc6870950aff9c71fc9bf3014
SHA1: 0120c0a0a0c98c61cba7865c35758773ea869d6b
SHA256: 9d4c905f9a2d681464f1888e39d4ae1990b6bcba386ab119c51fcc6fd0e7d2e6
SHA512: 852854033b8437c39a412e0a946f583d688686ccfef76ecaeb4d1609580ed31abcc818bcd23f8deb9773369fb6361db0d8f8314c821ad3a0c8693257782f2698
Homepage: https://cran.r-project.org/package=tosca
Description: CRAN Package 'tosca' (Tools for Statistical Content Analysis)
 A framework for statistical analysis in content analysis. In addition to a
 pipeline for preprocessing text corpora and linking to the latent Dirichlet
 allocation from the 'lda' package, plots are offered for the descriptive
 analysis of text corpora and topic models. In addition, an implementation of
 Chang's intruder words and intruder topics is provided. Sample data for the
 vignette is included in the toscaData package, which is available on gitHub:
 <https://github.com/Docma-TU/toscaData>.

Package: r-cran-toscmask
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-toscmask_1.2.3-1.ca2004.1_all.deb
Size: 12652
MD5sum: 2a24fe996a24b0712e871e69f32d7f12
SHA1: 278ea8b48d28376dc35479a16c85b1755c187722
SHA256: 4f14b14ddd570b1ba01215095d07263b88b6c58c08d7074f6265552e51c45a94
SHA512: 67b048d2e37933b50b4af41596cf8bdf479343b6bd542e14e73aa8f9c9d16031ba349aad93286f4dc79e260a6e9a1104a0e63fe430f6c785fe508cd2d62b4b8a
Homepage: https://cran.r-project.org/package=toscmask
Description: CRAN Package 'toscmask' (Improved Versions of Base Functions)
 Operators and functions provided by base R sometimes lack some features
 found in other programming languages, such as the ability to concatenate
 strings using + or to repeat strings using *. This package aims at providing
 such functionality without breaking existing code, i.e., only statements,
 that would throw errors in pure base R are patched.

Package: r-cran-toscutil
Architecture: all
Version: 2.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-devtools, r-cran-languageserver, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-toscutil_2.8.0-1.ca2004.1_all.deb
Size: 142772
MD5sum: b632ccf29389d2413cb9274b263ce6b2
SHA1: d3f3b0641803856709ed763bcdf210b865890c6a
SHA256: 0ee5990ff65e98d25d4092601d185e28b136c2737c03cc7fd5fb122530f76def
SHA512: 6ac327bdf007872524f5d3b2217546e83cea3cb5964dd7e26d56f596774e22e2f54d827f4b2f50b68756595a050baf2a23ecf0cb91b29b74206de6842d36e9f2
Homepage: https://cran.r-project.org/package=toscutil
Description: CRAN Package 'toscutil' (Utility Functions)
 Base R sometimes requires verbose statements for simple, often recurring
 tasks, such as printing text without trailing space, ending with newline.
 This package aims at providing shorthands for such tasks.

Package: r-cran-tosi
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-hdi, r-cran-scalreg, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-tosi_0.3.0-1.ca2004.1_all.deb
Size: 104152
MD5sum: 514c260e5dd39aed1ef486b3d2968a60
SHA1: 5ce0d52f1bf8cad536258066ef95174595e2a886
SHA256: 876bf2d4951e82c2f248393f9b541f74b332bfd0fc79230e2737400e63089897
SHA512: 2ef193980480a1a640e99f39995e223ae8b1dbbd2a23b1c9924603f7cab4028c9ced94ba7f304232fa33f8b1b3d71046ac0ea5ca104dc055942bc736c113e9a5
Homepage: https://cran.r-project.org/package=TOSI
Description: CRAN Package 'TOSI' (Two-Directional Simultaneous Inference for High-DimensionalModels)
 A general framework of two directional simultaneous inference is provided
 for high-dimensional as well as the fixed dimensional models with manifest
 variable or latent variable structure, such as high-dimensional mean models,
 high- dimensional sparse regression models, and high-dimensional latent
 factors models.  It is making the simultaneous inference on a set of
 parameters from two directions, one is testing whether the estimated zero
 parameters indeed are zero and the other is testing whether there exists
 zero in the parameter set of non-zero. More details can be referred to Wei
 Liu, et al. (2022) <doi:10.48550/arXiv.2012.11100>.

Package: r-cran-tosls
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula
Filename: pool/dists/focal/main/r-cran-tosls_1.0-1.ca2004.1_all.deb
Size: 18616
MD5sum: 2e3cf72b12e099c5b05290ca27d28544
SHA1: c55941dc280b050b7bfeafdea0fa7fde761d9197
SHA256: b33dd99f737bc08b9eada1aeb2b3f905731a1f9a4ab78131a5e2b689abf81480
SHA512: a1daa1a8c60e8212e85d4411a37e04d9302223b3ecd7153275c076f9d18e04b0ca100934625d281d0d15a61be3827c0fcb7d9fb61e4455c0d5b46d215e227180
Homepage: https://cran.r-project.org/package=tosls
Description: CRAN Package 'tosls' (Instrumental Variables Two Stage Least Squares estimation)
 Fit an Instrumental Variables Two Stage Least Squares model

Package: r-cran-tosr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3349
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bibliometrix, r-cran-igraph, r-cran-dplyr, r-cran-rebus, r-cran-magrittr, r-cran-stringr, r-cran-tidyr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tosr_0.1.5-1.ca2004.1_all.deb
Size: 3331996
MD5sum: d758c5b280f474572b546da70a41a6d9
SHA1: 57f16668abff70f8cf8c5a45756f2d0636564983
SHA256: c66ce1fd3e42640c904448f2416b8ea9e0e3dd99267c5e006a192876bd5a7d5d
SHA512: bad5dd1c92a6bb1c85e6e868868c3309b6d0bbd50450abc410ccd47bb5fc51cfb5b1f0663653a061fa0b3a49b166471644dd49c0650c31db8ef5b3f484cc41b0
Homepage: https://cran.r-project.org/package=tosr
Description: CRAN Package 'tosr' (Create the Tree of Science from WoS and Scopus)
 The goal of 'tosr' is to create the Tree of Science from Web of Science
 (WoS) and Scopus data. It can read files from both sources at the same time.
 More information can be found in Valencia-Hernández (2020)
 <https://revistas.unal.edu.co/index.php/ingeinv/article/view/77718>.

Package: r-cran-toster
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1917
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jmvcore, r-cran-ggplot2, r-cran-ggdist, r-cran-distributional, r-cran-cowplot, r-cran-tidyr, r-cran-r6, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-broom, r-cran-car, r-cran-afex, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-toster_0.8.4-1.ca2004.1_all.deb
Size: 1414136
MD5sum: 550c7220e2513aa1c7d6c4a5edeb928b
SHA1: 7645ab9c3d7a51369a448b410dfdf2d8ace6f1a1
SHA256: 729a68244348bba450db92d60e0122d8b00a66fc13a0560c87a1675040b0495a
SHA512: d9008f6bd0366b04111d7dce0c18a24d38b665c92525886b6d8bab499a185303ad35a6225536eace94005db215dbb5d34b35c21838520227d9bb50c8c92e0407
Homepage: https://cran.r-project.org/package=TOSTER
Description: CRAN Package 'TOSTER' (Two One-Sided Tests (TOST) Equivalence Testing)
 Two one-sided tests (TOST) procedure to test equivalence for t-tests,
 correlations, differences between proportions, and meta-analyses, including
 power analysis for t-tests and correlations. Allows you to specify
 equivalence bounds in raw scale units or in terms of effect sizes. See:
 Lakens (2017) <doi:10.1177/1948550617697177>.

Package: r-cran-totalcensus
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4905
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-data.table, r-cran-magrittr, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-totalcensus_0.6.6-1.ca2004.1_all.deb
Size: 3068256
MD5sum: 6126625504476bdfb8a58b897c570f6f
SHA1: 40c72795e07fbe1c71189a9b880a13c56416c468
SHA256: de5fdf264cc842006cee22502a1dd815aca3ccee6bdda561239ac4ac718e5bc5
SHA512: 417f0c7070b8ce23860546c6f3b26f331d24a56da541ec70df51cffa2a221c26824798ff27b1868244fe3cf6cedea32a65b7541b1774c5f78939173c18602ab6
Homepage: https://cran.r-project.org/package=totalcensus
Description: CRAN Package 'totalcensus' (Extract Decennial Census and American Community Survey Data)
 Download summary files from Census Bureau <https://www2.census.gov/> and
 extract data, in particular high resolution data at block, block group, and
 tract level, from decennial census and American Community Survey 1-year and
 5-year estimates.

Package: r-cran-totalcopheneticindex
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-treetools
Suggests: r-cran-ape, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-totalcopheneticindex_2.0.1-1.ca2004.1_all.deb
Size: 17168
MD5sum: 639f076acf6b95413cbe3562065d5b62
SHA1: 9e3a3d8a8b97d5a43cc2c28ac7b75907a992fd31
SHA256: 94573da64bb241633bdd0530c9fe407b8c6c13108617a76593c0e5457c022e48
SHA512: 07985e831ade6ff97624d409e4c71497789d7a79f82b7f87c85555cfb99648b13f8d25044af555314c8f279b87ed4abf36afe4d7762550e4a3b134b38fa2c2bc
Homepage: https://cran.r-project.org/package=TotalCopheneticIndex
Description: CRAN Package 'TotalCopheneticIndex' (Quantify the Balance of Phylogenetic Trees)
 Measures the degree of balance for a given phylogenetic tree by calculating
 the Total Cophenetic Index.  Reference: A. Mir, F. Rossello, L. A. Rotger
 (2013).  A new balance index for phylogenetic trees.  Math. Biosci. 241,
 125-136 <doi:10.1016/j.mbs.2012.10.005>.

Package: r-cran-tou
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-deoptim, r-cran-ggplot2, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-tou_0.1.0-1.ca2004.1_all.deb
Size: 40512
MD5sum: 7ee26ae93d0fd672006e4202b6ab6298
SHA1: f1e3ce8365193eef41537d612617be277bfd2f2c
SHA256: 2e3b39b490a501e2b886d01e8b349709f2543573909cfc1d509c04c54c31f0cb
SHA512: 741af0ba4f3b98a1e7cfc05c29f8c9894a3bda9500a568dd25fd6ada7460a64522829b79776de64c4e96ca67045deb85a4680711353a1abe5956d370d3ad3984
Homepage: https://cran.r-project.org/package=TOU
Description: CRAN Package 'TOU' (Transformed Ornstein-Uhlenbeck Model for Adsorption Kinetics)
 Estimates the parameters of a Transformed Ornstein-Uhlenbeck (TOU)
 stochastic model for adsorption data and also the parameters of the related
 pseudo-n-order (PNO) model, such as the maximum adsorption capacity (qe),
 the adsorption rate constant (kn) and the order of the model (n).

Package: r-cran-touchard
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-nleqslv, r-cran-numderiv, r-cran-plotrix
Filename: pool/dists/focal/main/r-cran-touchard_2.0.1-1.ca2004.1_all.deb
Size: 154112
MD5sum: e3d533e830d1147528505b641420144d
SHA1: 8ce1a73519bcb48192aa1f741240405b621e25df
SHA256: 85670f9766ad3021e745b4f3fc7c3336b227baf72b2c5f7da9a2f9401f0d9fe3
SHA512: 8c6c1ab98f2d0098bd05d7b1f777eef91a35e84d0c466a8e3f7f18c644915aa28f14cd5f8d9907a9c7cdcda6a85e711f4708ec77e647544fe089a3d3b4348282
Homepage: https://cran.r-project.org/package=touchard
Description: CRAN Package 'touchard' (Touchard Model and Regression)
 Tools for analyzing count data with the Touchard model (Matsushita et al.,
 2018, Comm Stat Th Meth <doi:10.1080/03610926.2018.1444177>). It includes
 univariate estimation (ML and MM) and regression tools developed by Andrade
 et al. (submitted).

Package: r-cran-tournament
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-engsoccerdata
Filename: pool/dists/focal/main/r-cran-tournament_0.2.5-1.ca2004.1_all.deb
Size: 29048
MD5sum: 903a7183aa466a5759020ada4d58ffe0
SHA1: 5481a3220865c43a09b61a17729ae8a489b1473d
SHA256: c13e4f8a0cb57180b7113d23a8b9c2d8cd40d52b50fafb175a5fd14bad54b011
SHA512: c01edec99508ad148d20b8a76f8e4b3230a4a4bf298d74ae0eb22fa881979583e3adb057c4f461c872f024299eaffd7e24d680a8072cd0f4cb4124e6ea39220e
Homepage: https://cran.r-project.org/package=TouRnament
Description: CRAN Package 'TouRnament' (Tools for Sports Competitions)
 Contains two functions related to sports competitions. One to create league
 tables and one to create a match schedule.

Package: r-cran-tournamentofchampions
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyverse
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tournamentofchampions_0.1.0-1.ca2004.1_all.deb
Size: 44588
MD5sum: dbe51a1df997a0a51fa8419c48d052d2
SHA1: f21d3057e9d11af66c73f7a8e8fd51b09eb9ac1f
SHA256: b82b35b37a7e33e699753e2dbe9d6ad2b036ad0d5287e80271231ab2567f4537
SHA512: c06f9a64f7420a2e0e5f5cfdbfde337061b45100d6ad48ef85ab0a2b5ee8878596e23a59e96b07d104be79559972a687cea61fff99383552219e57b870c8053e
Homepage: https://cran.r-project.org/package=touRnamentofchampions
Description: CRAN Package 'touRnamentofchampions' (Tournament of Champions Data)
 Several datasets which describe the challenges and results of competitions
 in Tournament of Champions.  This data is useful for practicing data
 wrangling, graphing, and analyzing how each season of Tournament of
 Champions played out.

Package: r-cran-tourr
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1245
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-aplpack, r-cran-ash, r-cran-energy, r-cran-testthat, r-cran-colorspace, r-cran-ggplot2, r-cran-mgcv, r-cran-gifski, r-cran-geozoo, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-covr, r-cran-plotly, r-cran-cassowaryr, r-cran-minerva
Filename: pool/dists/focal/main/r-cran-tourr_1.2.4-1.ca2004.1_all.deb
Size: 925440
MD5sum: 690a2cc9de12e5ef1e8cd87b9f986a14
SHA1: c4df712c36cca39f794ff71ac7392182b463ba81
SHA256: daf5348b611b9d4854005d49ee986ba356aae62dfcb37ff4c52d1fadf2d1feda
SHA512: c6a85f6d4f0bc2b6298b6cf76c025b5d6a6c0fbaeb92738c629c106fdb18aa754e8ba74d76c3062e2075ed1c3cd30933027d6a61738953241f1059ab7c2f8be2
Homepage: https://cran.r-project.org/package=tourr
Description: CRAN Package 'tourr' (Tour Methods for Multivariate Data Visualisation)
 Implements geodesic interpolation and basis generation functions that allow
 you to create new tour methods from R.

Package: r-cran-tower
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-purrr, r-cran-stringr, r-cran-curl, r-cran-jsonlite, r-cran-rlang
Suggests: r-cran-testthat, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-tower_0.2.0-1.ca2004.1_all.deb
Size: 55168
MD5sum: 46424623aadb64b7d4a8d6057a540aa5
SHA1: 38af2a5538cc2f8a2c2be171f5d4606b98855a07
SHA256: 632034dcd7ea5c094e1805865d6828653dad3c8b3816327a49a2f4723948b8d1
SHA512: feec8c983bbea17957421d57cb840d6aca3a46c8c1cefc4e1802c26b5e51ecc51ad61554e02f596d9b017b72d94ab4ff1acf528179ea95094b6bc4e715adbaa2
Homepage: https://cran.r-project.org/package=tower
Description: CRAN Package 'tower' (Easy Middle Ware Library for 'shiny')
 The best way to implement middle ware for 'shiny' Applications. 'tower' is
 designed to make implementing behavior on top of 'shiny' easy with a
 layering model for incoming HTTP requests and server sessions. 'tower' is a
 very minimal package with little overhead, it is mainly meant for other
 package developers to implement new behavior.

Package: r-cran-toweranna
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-regtools, r-cran-rmarkdown, r-cran-fnn, r-cran-pdist
Filename: pool/dists/focal/main/r-cran-toweranna_0.1.0-1.ca2004.1_all.deb
Size: 69200
MD5sum: 82f9a784f8db8a20db0f55cd872a2781
SHA1: 710c894a4c702ef667082680e7ef460add84a652
SHA256: c8bb32bdcc01854d79427a8a0d640aea4eed2c35d50b308a16a2c59283acf610
SHA512: 1abeb38abba812aea1675e6f701bf76c285f7c54bf8ebdabb6731602603e906c82b3653e22fb094020f4377e2b1717ff26baef91d1125e232caee6cc944b237b
Homepage: https://cran.r-project.org/package=toweranNA
Description: CRAN Package 'toweranNA' (A Method for Handling Missing Values in Prediction Applications)
 Non-imputational method for handling missing values in a prediction context,
 meaning that not only are there missing values in the training dataset, but
 also some values may be missing in future cases to be predicted. Based on
 the notion of regression averaging (Matloff (2017, ISBN: 9781498710916)).

Package: r-cran-toxcrit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-toxcrit_1.0-1.ca2004.1_all.deb
Size: 13720
MD5sum: 1ef74c5c9e26901d0a0b4ebb3c6724f4
SHA1: 755fad5d9368c51a6b3e644ff818547bdff3df45
SHA256: 008c1446d18e79537db60cbdb34eff7176eeb586f482361e924f416672c7cda3
SHA512: 67719b5139481a83d2310f5c240bb3f3084c8b433bd77f01e6a3ef055967dab046841ca40f5a390caa7ca2b4e7e1541f4f711421044343304af10eb402f0866d
Homepage: https://cran.r-project.org/package=ToxCrit
Description: CRAN Package 'ToxCrit' (Calculates Safety Stopping Boundaries for a Single-Arm Trialusing Bayes)
 Computation of stopping boundaries for a single-arm trial using a Bayesian
 criterion; i.e., for each m<=n (n= total patient number of the trial) the
 smallest number of observed toxicities is calculated leading to the
 termination of the trial/accrual according to the specified criteria. The
 probabilities of stopping the trial/accrual at and up until (resp.) the m-th
 patient (m<=n) is also calculated. This design is more conservative than the
 frequentist approach (using Clopper Pearson CIs) which might be preferred as
 it concerns safety.See also Aamot et.al.(2010) "Continuous monitoring of
 toxicity in clinical trials - simulating the risk of stopping prematurely"
 <doi:10.5414/cpp48476>.

Package: r-cran-toxeval
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-dt, r-cran-leaflet, r-cran-ggplot2, r-cran-magrittr, r-cran-shiny, r-cran-shinydashboard, r-cran-rcolorbrewer, r-cran-readxl, r-cran-shinyace, r-cran-shinycssloaders
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-knitr, r-cran-here, r-cran-tcpl, r-cran-openxlsx, r-cran-covr
Filename: pool/dists/focal/main/r-cran-toxeval_1.4.0-1.ca2004.1_all.deb
Size: 3084040
MD5sum: 888c65e8f8e9fc81a9e9d5a2e5fcc038
SHA1: 1bf17605f4c893646c502a5bd499507bbdd4b94c
SHA256: a411ac644ccbcf5cc584ceda2bb425016e6d26d51a975ab215b1d846cd1414de
SHA512: 9d6b1c198384b6bdcc93eb98b472290e5ffbeca6a589f8dfb54a7965b5fa349fd02b81d867a025a2bebceb965ab09f372e3cfa5fecca5471d8aa8dfcc5679ea8
Homepage: https://cran.r-project.org/package=toxEval
Description: CRAN Package 'toxEval' (Exploring Biological Relevance of Environmental ChemistryObservations)
 Data analysis package for estimating potential biological effects from
 chemical concentrations in environmental samples. Included are a set of
 functions to analyze, visualize, and organize measured concentration data as
 it relates to user-selected chemical-biological interaction benchmark data
 such as water quality criteria. The intent of these analyses is to develop a
 better understanding of the potential biological relevance of environmental
 chemistry data. Results can be used to prioritize which chemicals at which
 sites may be of greatest concern. These methods are meant to be used as a
 screening technique to predict potential for biological influence from
 chemicals that ultimately need to be validated with direct biological
 assays. A description of the analysis can be found in Blackwell (2017)
 <doi:10.1021/acs.est.7b01613>.

Package: r-cran-toxpir
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4323
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-bioc-s4vectors, r-cran-rlang, r-bioc-biocgenerics, r-cran-pryr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-dbi
Filename: pool/dists/focal/main/r-cran-toxpir_1.3.0-1.ca2004.1_all.deb
Size: 2595228
MD5sum: 95a33fa6175cd41bf66d69e4136253ef
SHA1: f38936badcea41dd635717355ae2d158c854787c
SHA256: b1e11baf549a42c7bc0633ffc3e0d2d8b64f74f731c5f29bf549a2364e808434
SHA512: 0bfbe99ee1de2791bd5d0889ba7bb2fcf4a7830482580a1ec42ee6698f5b82d05763e25edd498aac9753beb6364f9eede672fb389e8298c7fe277051aa5bcec3
Homepage: https://cran.r-project.org/package=toxpiR
Description: CRAN Package 'toxpiR' (Create ToxPi Prioritization Models)
 Enables users to build 'ToxPi' prioritization models and provides
 functionality within the grid framework for plotting ToxPi graphs.  'toxpiR'
 allows for more customization than the 'ToxPi GUI' (<https://toxpi.org>) and
 integration into existing workflows for greater ease-of-use,
 reproducibility, and transparency.  toxpiR package behaves nearly
 identically to the GUI; the package documentation includes notes about all
 differences.  The vignettes download example files from
 <https://github.com/ToxPi/ToxPi-example-files>.

Package: r-cran-toxsummary
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3700
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cicerone, r-cran-data.table, r-cran-dbi, r-cran-dplyr, r-cran-dt, r-cran-flextable, r-cran-fs, r-cran-ggiraph, r-cran-ggplot2, r-cran-htmltools, r-cran-magrittr, r-cran-patchwork, r-cran-rlang, r-cran-rsqlite, r-cran-scales, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydisconnect, r-cran-stringr
Suggests: r-cran-knitr, r-cran-officer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-toxsummary_1.0.0-1.ca2004.1_all.deb
Size: 1564328
MD5sum: 53da87930eb1e5e66d0666c0833a4bf7
SHA1: 842d7a543143cf904cda473896ed74d347a95d2f
SHA256: 6ec99bc5b045e7903a5ec091ad4722c16a588f4f7728a9e363c53e68bd133e1c
SHA512: 2779c5013c1532b0e825d916361a53dc9524bf918e73f4662470d436b80603bd94c05cdbb3cadd2abf4626fde63f47d102ecc876dcbadfc53b30feafb88c3f91
Homepage: https://cran.r-project.org/package=toxSummary
Description: CRAN Package 'toxSummary' (Visualize and Summarize Repeat-Dose Toxicology Study Results)
 A 'shiny' app that generates plots and summary tables from repeat-dose
 toxicology study results to facilitate holistic evaluation of the drug
 safety of active pharmaceutical ingredients (API) prior to initiation of
 clinical trials.

Package: r-cran-toxtestd
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-toxtestd_2.0-1.ca2004.1_all.deb
Size: 91204
MD5sum: ca61579974ebb7521b2c5d6b4fb8a4c6
SHA1: 52c7c11b6c51297fbff74709be433ec23986a3e8
SHA256: a4cfdc69ad19783a25b764129211fe5348b92c3120c84d528466ae3059a81b9f
SHA512: c18fb7b49a0acf944a7df6f7622dfabe858e7aedd7134fdd032ca8321d124c1818c594cc9aabe494026bbd84faa85b8fdd7bdc7469d6b1224a314404014bda28
Homepage: https://cran.r-project.org/package=toxtestD
Description: CRAN Package 'toxtestD' (Experimental design for binary toxicity tests)
 Calculates sample size and dose allocation for binary toxicity tests, using
 the Fish Embryo Toxicity Test as example.  An optimal test design is
 obtained by running (i) spoD (calculate the number of individuals to test
 under control conditions), (ii) setD (estimate the minimal sample size per
 treatment given the users precision requirements) and (iii) doseD (construct
 an individual dose scheme).

Package: r-cran-tpac
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 354
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-mass, r-cran-tpacdata
Filename: pool/dists/focal/main/r-cran-tpac_0.2.0-1.ca2004.1_all.deb
Size: 308792
MD5sum: bffbb2e9880b824781b0f3bbcac109ec
SHA1: 6f0f46eedac1c9a051bfb1c0a8625c7c317e9360
SHA256: b791386b281f9dbba732decb82a6b8759403041f137c01c6eb5398e9e0084553
SHA512: 2a9b9b37c5e81eb220c00597752a91b2ead1fc5b7e6077d590d516a16cc2e9590b973b4dcda89b350e7e7768f0c06f2933d2384dcc3ef9bae73756ecb0a024a9
Homepage: https://cran.r-project.org/package=TPAC
Description: CRAN Package 'TPAC' (Tissue-Adjusted Pathway Analysis of Cancer (TPAC))
 Contains logic for single sample gene set testing of cancer transcriptomic
 data with adjustment for normal tissue-specificity.  Frost, H. Robert (2023)
 "Tissue-adjusted pathway analysis of cancer (TPAC)"
 <doi:10.1101/2022.03.17.484779>.

Package: r-cran-tpacdata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12289
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-tpacdata_0.1.0-1.ca2004.1_all.deb
Size: 12249184
MD5sum: d262388a4dd492533d49218fa2e2856d
SHA1: 68fbac83204249a120f55caccbb93df102932cee
SHA256: f579a3d00b7d13aad38a9de57b015a2b94d21a94b93ae6e91e09dc2b3ecd111f
SHA512: 5f4559a17d438e29ab6fca9814f5377d508c0d94c156f8be51b672aa20152b97d57382ed71724484cdda1bf8e87c07c7a8db767188495b9091cee8358634b914
Homepage: https://cran.r-project.org/package=TPACData
Description: CRAN Package 'TPACData' (Human Protein Atlas Data for Tissue-Adjusted Pathway Analysis ofCancer (TPAC))
 Contains summary data on gene expression in normal human tissues from the
 Human Protein Atlas for use with the Tissue-Adjusted Pathway Analysis of
 cancer (TPAC) method.  Frost, H. Robert (2023) "Tissue-adjusted pathway
 analysis of cancer (TPAC)" <doi:10.1101/2022.03.17.484779>.

Package: r-cran-tpauc
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tpauc_2.1.1-1.ca2004.1_all.deb
Size: 63260
MD5sum: 382245037441e86c772ceaa6fd4d0ed1
SHA1: 07842af158f41177caceea1f84be95b559fa68b0
SHA256: e1a0ad6a1486120e5702500fe1ebd922a1bb4e3318bebf3b519d7db1e66c01d3
SHA512: 7e7b701d62c7d6b72a22772a2b4d60c33baef7ab72e52e2042222a463157b7a1f896ba7113a68161284c47c92b7ecb2e31a26b143da28f8f88f2ce90e3625a94
Homepage: https://cran.r-project.org/package=tpAUC
Description: CRAN Package 'tpAUC' (Estimation and Inference of Two-Way pAUC, pAUC and pODC)
 Tools for estimating and inferring two-way partial area under receiver
 operating characteristic curves (two-way pAUC), partial area under receiver
 operating characteristic curves (pAUC), and partial area under ordinal
 dominance curves (pODC). Methods includes Mann-Whitney statistic and
 Jackknife, etc.

Package: r-cran-tpc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 981
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pcalg, r-bioc-graph
Suggests: r-bioc-rgraphviz, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tpc_1.0-1.ca2004.1_all.deb
Size: 954760
MD5sum: 90cefb7625eb5c4244f85622e4f6aaa3
SHA1: 5f97b3cdb735344509af4863d2d11b856a97fbd8
SHA256: 0133285efd02b2fca3238cad73946992b19110116eb7d31b42041314f2091221
SHA512: 19afb8f33afb51b5fa7b47aaaeafa72362150462581c46882f05a1d33b4a8df09672c644b6b3b8a0a91a2df09f7ce440a5b16887280cf8c63b7aa4613f4dcd8e
Homepage: https://cran.r-project.org/package=tpc
Description: CRAN Package 'tpc' (Tiered PC Algorithm)
 Constraint-based causal discovery using the PC algorithm while accounting
 for a partial node ordering, for example a partial temporal ordering when
 the data were collected in different waves of a cohort study.  Andrews RM,
 Foraita R, Didelez V, Witte J (2021) <arXiv:2108.13395> provide a guide how
 to use tpc to analyse cohort data.

Package: r-cran-tpcselect
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-corpcor, r-cran-psych, r-cran-mass, r-cran-kernsmooth
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tpcselect_0.8.3-1.ca2004.1_all.deb
Size: 42760
MD5sum: d03935772879c51563cf79dabea84678
SHA1: 5ae85411d72333c2754093680d08bdb78be1dd25
SHA256: 10e1fecb81e94739b5e6ab861e00794e86012c9c7fa4efef32a8365f19b97aec
SHA512: 035fba6d446a91dcde57f744b3d9183df1b2006f2ec1f876651bd5542e5c24f449324e05bf878bc17ce8c37ecd4ede697ecdde841fe76986a56d695fd9a70d85
Homepage: https://cran.r-project.org/package=TPCselect
Description: CRAN Package 'TPCselect' (Variable Selection via Threshold Partial Correlation)
 A threshold partial correlation approach to selecting important variables in
 linear models of L. and others (2017) at <doi:10.5705/ss.202015.0473>, and
 in partial linear models of L. and others (2018) at
 <doi:10.1016/j.jmva.2018.06.005>.  This package also extends the PC-simple
 algorithm of B. and others (2010) at <doi:10.1093/biomet/asq008> to partial
 linear models.

Package: r-cran-tpd
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1577
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ks, r-cran-gridextra, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tpd_1.1.0-1.ca2004.1_all.deb
Size: 930268
MD5sum: 602c0902f2ae09712b21addffe59c106
SHA1: 82fc243c6cd32afba8144ee1dbd99569b690dab3
SHA256: ab2137aa7236776a16a20237c0a965b697027c93818b15e613217b885940e854
SHA512: 39cf9a7eca0080408d140b9b9dd7594e7074d0046cb84e0323e31a06364f0ae47bac7e9deb4460f8a438986f6354546fdb7c3a4e18db4948c0b1d2f5660a4d93
Homepage: https://cran.r-project.org/package=TPD
Description: CRAN Package 'TPD' (Methods for Measuring Functional Diversity Based on TraitProbability Density)
 Tools to calculate trait probability density functions (TPD) at any scale
 (e.g. populations, species, communities). TPD functions are used to compute
 several indices of functional diversity, as well as its partition across
 scales.  These indices constitute a unified framework that incorporates the
 underlying probabilistic nature of trait distributions into uni- or
 multidimensional functional trait-based studies. See Carmona et al. (2016)
 <doi:10.1016/j.tree.2016.02.003> for further information.

Package: r-cran-tpea
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 828
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mess, r-cran-matrix, r-cran-foreach, r-cran-xml, r-cran-rcurl, r-cran-igraph
Suggests: r-cran-geem, r-cran-geepack
Filename: pool/dists/focal/main/r-cran-tpea_3.1.0-1.ca2004.1_all.deb
Size: 679712
MD5sum: 64d9335548e69276ed40ce0b7a67c999
SHA1: aac1f79fba60141877322eb57e39d6778336794c
SHA256: 8f4d9c41f78d7e17a2f01b788c090bf0f2936a8db07727030da21076c841dc17
SHA512: e052cff213bff47ace4dbc1f8c72db411ca2c6f8ed98589cdb00a9d0fff4076bde1455e3842a4a610ac9e11fabf290a9e03acb6453c2abd5faf29596961ac568
Homepage: https://cran.r-project.org/package=TPEA
Description: CRAN Package 'TPEA' (A Novel Topology-Based Pathway Enrichment Analysis Approach)
 We described a novel Topology-based pathway enrichment analysis, which
 integrated the global position of the nodes and the topological property of
 the pathways in Kyoto Encyclopedia of Genes and Genomes Database.  We also
 provide some functions to obtain the latest information about pathways to
 finish pathway enrichment analysis using this method.

Package: r-cran-tpes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tpes_1.0.0-1.ca2004.1_all.deb
Size: 136592
MD5sum: f919244374ebc58132d4a9afbf062052
SHA1: 45767d9362d7ae86648086ec17c7b80172b7791d
SHA256: 61934d983498b1b53f9d7cc256a84da039e20c647448260cd8bcc54a4b6c2312
SHA512: 56cc78f6b1a323eaba75110312748d5569488a79304d271039b57aae4953ed0305738539da2c2db79217a8690ea5f48d49cc9d703aff0df25044d00eaf32489f
Homepage: https://cran.r-project.org/package=TPES
Description: CRAN Package 'TPES' (Tumor Purity Estimation using SNVs)
 A bioinformatics tool for the estimation of the tumor purity from sequencing
 data.  It uses the set of putative clonal somatic single nucleotide variants
 within copy number neutral segments to call tumor cellularity.

Package: r-cran-tplsr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4373
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tplsr_1.0.4-1.ca2004.1_all.deb
Size: 4347916
MD5sum: 4c04f9a4b6ba19b941a30a2a7f217e6a
SHA1: 81c0c66cf25841e481c4b035b788998e377da034
SHA256: b7da7fd6250990f18b352314de6695a4a5e23ab9a83b5b4d9d5e1168080604be
SHA512: d61956ce8ba1f1ea8d17d448809d7d1463d365b088ebefb0efb07f56b8fa696b37df986b3ef673412836801e702e4a2c8cfa1a4ce89d2e128f9f309922b7456c
Homepage: https://cran.r-project.org/package=TPLSr
Description: CRAN Package 'TPLSr' (Thresholded Partial Least Squares Model for Neuroimaging Data)
 Uses thresholded partial least squares algorithm to create a regression or
 classification model. For more information, see Lee, Bradlow, and Kable
 <doi:10.1016/j.crmeth.2022.100227>.

Package: r-cran-tplyr
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1661
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-assertthat, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-tibble, r-cran-lifecycle, r-cran-forcats
Suggests: r-cran-testthat, r-cran-haven, r-cran-knitr, r-cran-rmarkdown, r-cran-huxtable, r-cran-tidyverse, r-cran-readr, r-cran-kableextra, r-cran-pharmartf, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tplyr_1.2.1-1.ca2004.1_all.deb
Size: 797412
MD5sum: c7fda1239be5a593a37cb246a40ef1c7
SHA1: 832f42955652d1039daab3f4909dd13c2e8a3884
SHA256: 74a51e446b3fe680fd7bf57e294211f3591370451e123e917f6059593c9ca860
SHA512: 478527d0d80b75eeca3ce996d7bf83bb1a7eb78cf24e59be8b8adfe44e18d294e223f796d9f16d5badf985e7752110e1c6b6e2d35689a19172eb2c9df2ff184e
Homepage: https://cran.r-project.org/package=Tplyr
Description: CRAN Package 'Tplyr' (A Traceability Focused Grammar of Clinical Data Summary)
 A traceability focused tool created to simplify the data manipulation
 necessary to create clinical summaries.

Package: r-cran-tpm
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 807
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-fasttime
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tpm_2.0.2-1.ca2004.1_all.deb
Size: 669888
MD5sum: fbe33a6a8eec7b163ccb3567f1fdae1c
SHA1: dc299ea2fdc098c2c952e1c04aea35fafdb7484c
SHA256: 6f294c5c8daea70fa27a808a1e2cb509f53a0f4dcba4ce1bcbb1fe165fcf5964
SHA512: 3c74e9be3149d5222cf20917414d3a9f6270758d4a454a9b266aed3fb32bca4e18664a4053fceb94e0fb2b27723bd1a931e86113b633dfc8eaf3b7e77edae993
Homepage: https://cran.r-project.org/package=tpm
Description: CRAN Package 'tpm' (FHWA TPM Score Calculation Functions)
 Contains functions for calculating the Federal Highway Administration (FHWA)
 Transportation Performance Management (TPM) performance measures. Currently,
 the package provides methods for the System Reliability and Freight (PM3)
 performance measures calculated from travel time data provided by The
 National Performance Management Research Data Set (NPMRDS), including Level
 of Travel Time Reliability (LOTTR), Truck Travel Time Reliability (TTTR),
 and Peak Hour Excessive Delay (PHED) metric scores for calculating statewide
 reliability performance measures. Implements
 <https://www.fhwa.dot.gov/tpm/guidance/pm3_hpms.pdf>.

Package: r-cran-tpmplt
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vbtree, r-cran-ggplot2, r-cran-metr, r-cran-rgl, r-cran-e1071, r-cran-rcolorbrewer, r-cran-dlm
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tpmplt_0.1.6-1.ca2004.1_all.deb
Size: 1812048
MD5sum: 39230991a00f805f1ca750dcb6e73c12
SHA1: 4e12cb6e1c589f5d4355cd777e8ec82ad1c4834d
SHA256: 99656e7c453cc6076244e31dcc3661a63313ab5e84be7aec982ffa8ad25aa756
SHA512: 6cdbafd5f67a42e40ecec29caac1cebde24da271f1b5588d885cdecbb5074097d5157fb1cc5365f5e9261307463888c3c9a9226fb43255d9e31b0ba0912f9967
Homepage: https://cran.r-project.org/package=TPMplt
Description: CRAN Package 'TPMplt' (Tool-Kit for Dynamic Materials Model and Thermal Processing Maps)
 Provides a simple approach for constructing dynamic materials modeling
 suggested by Prasad and Gegel (1984) <doi:10.1007/BF02664902>. It can easily
 generate various processing-maps based on this model as well. The
 calculation result in this package contains full materials constants,
 information about power dissipation efficiency factor, and rheological
 properties, can be exported completely also, through which further analysis
 and customized plots will be applicable as well.

Package: r-cran-tpn
Architecture: all
Version: 1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pracma, r-cran-skewmlrm, r-cran-moments, r-cran-vgam, r-cran-rbe3
Filename: pool/dists/focal/main/r-cran-tpn_1.11-1.ca2004.1_all.deb
Size: 125084
MD5sum: 2f4cda8a5cfb9cade58862ace9f0043a
SHA1: 187530a9b70429edd8b49db9d459633bc17480fd
SHA256: ab5e25b6f873f709b1d38fa72d3b065cd165cf57664844a7bbba3a1e68c19697
SHA512: f8ffcd5ebdcae90ed9a53ba4cb3ab46adfc888463069752ccd8b181dda15746a3af4fd1ac43b9da935e4829df6f31d83a3ae95dd1b4f83cf7033a4412128d43e
Homepage: https://cran.r-project.org/package=tpn
Description: CRAN Package 'tpn' (Truncated Positive Normal Model and Extensions)
 Provide data generation and estimation tools for the truncated positive
 normal (tpn) model discussed in Gomez, Olmos, Varela and Bolfarine (2018)
 <doi:10.1007/s11766-018-3354-x>, the slash tpn distribution discussed in
 Gomez, Gallardo and Santoro (2021) <doi:10.3390/sym13112164>, the bimodal
 tpn distribution discussed in Gomez et al. (2022) <doi:10.3390/sym14040665>,
 the flexible tpn model <doi:10.3390/math11214431> and the unit tpn
 distribution <doi:10.1016/j.chemolab.2025.105322>.

Package: r-cran-tpwb
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tpwb_0.1.0-1.ca2004.1_all.deb
Size: 25964
MD5sum: 3265a28082d932e97163df296e2155f7
SHA1: 389e995b678d2b836d41c3739801989e9c5f3208
SHA256: bbc974fb58c0acda52ece9c3facaa5f9b03725e2b31791941281df43ee3d9f6c
SHA512: 9c1f59b5d98f7c9c99fd713486579a3d96f9b86e66ab0202fe7738979c063b2ab295bb71303279c9a5a1c3413a9778575e9ba18678987e085095c5e3fb693105
Homepage: https://cran.r-project.org/package=tpwb
Description: CRAN Package 'tpwb' (The Three Parameter Weibull Distribution)
 Density, distribution function, the quantile function, random generation
 function, and maximum likelihood estimation.

Package: r-cran-tpxg
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rfast2
Suggests: r-cran-rfast
Filename: pool/dists/focal/main/r-cran-tpxg_1.0-1.ca2004.1_all.deb
Size: 53384
MD5sum: bdedccf4cf1d6cd15f81d8913b6dbe05
SHA1: 674c9b46ce12ff939d184842423066f85848798f
SHA256: 978dc485a6fcb0430743acd14631dca8252ffd2fe87229968167c2b9f6936df7
SHA512: b7f7d7566bdcb61855af65228051e66a549da65176397127b8b42c646f7543ef982e1a8655704146f60090f8ad9f15e892c5184a70e009474eb9f49b8104be69
Homepage: https://cran.r-project.org/package=TPXG
Description: CRAN Package 'TPXG' (Two Parameter Xgamma & Poisson Xgamma: Regression & DistributionFunctions)
 The two-parameter Xgamma and Poisson Xgamma distributions are analyzed,
 covering standard distribution and regression functions, maximum likelihood
 estimation, quantile functions, probability density and mass functions,
 cumulative distribution functions, and random number generation. References
 include: "Sen, S., Chandra, N. and Maiti, S. S. (2018). On properties and
 applications of a two-parameter XGamma distribution. Journal of Statistical
 Theory and Applications, 17(4): 674--685. <doi:10.2991/jsta.2018.17.4.9>."
 "Wani, M. A., Ahmad, P. B., Para, B. A. and Elah, N. (2023). A new
 regression model for count data with applications to health care data.
 International Journal of Data Science and Analytics.
 <doi:10.1007/s41060-023-00453-1>."

Package: r-cran-tqk
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 434
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-magrittr, r-cran-tibble, r-cran-httr, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-tqk_0.1.8-1.ca2004.1_all.deb
Size: 388100
MD5sum: ef578c6f826ff5679c61c58cd046eb1e
SHA1: ed9048a793c17221ccffd81766a4eb4774703bce
SHA256: 460064b5f5a714f19822fe65cc9412c5338ffb46f159a39f5de98eab7c9fb332
SHA512: 1fd0d6e1be942322f9534ae0ac9b197279a7c492f8e9fcf198addaa8bb0293c2d9317fdb0ed2b0376636efb3745feda997e696d9d4391c1462301a75f6b222a7
Homepage: https://cran.r-project.org/package=tqk
Description: CRAN Package 'tqk' (Get Financial Data in Korea)
 Enables the acquisition of Korean financial market data, designed to
 integrate seamlessly with the 'tidyquant' package.

Package: r-cran-tr.iatgen
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1676
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tr.iatgen_1.1.0-1.ca2004.1_all.deb
Size: 326332
MD5sum: 13261a264a0d947008e811d18ea4642d
SHA1: 504bd3b1c41a7c9e06e2b64d3a148abe708b1504
SHA256: e69e42329a6176884ac674fda83b5ebb5118f14137d3d2853c9cac184543d3b6
SHA512: 89cd179ac751c79eacd847624cbb18d09be0ad3114bd43d2b1c117a17cfab23ab81d3ce8388850071b60e346919c71be1b6d9cae6fc22953e6a1de802022331a
Homepage: https://cran.r-project.org/package=tr.iatgen
Description: CRAN Package 'tr.iatgen' (Translate 'iatgen' Generated QSF Files)
 Automates translating the instructions of 'iatgen' generated qsf (Qualtrics
 survey files) to other languages using either officially supported or
 user-supplied translations (for tutorial see Santos et al., 2023
 <doi:10.17504/protocols.io.kxygx34jdg8j/v1>).

Package: r-cran-tr8
Architecture: all
Version: 0.9.23-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1439
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcurl, r-cran-xml, r-cran-dplyr, r-cran-plyr, r-cran-reshape, r-cran-rappdirs, r-cran-readxl, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-tr8_0.9.23-1.ca2004.1_all.deb
Size: 1066268
MD5sum: 5477136cf14f781252a31f481621c475
SHA1: 2890c9dace6e661bb2d301d166e9721301c55a5e
SHA256: 61c71e70b8fb4a122aded819d9c9660da7684ce932a99aabb0127695ba45ea72
SHA512: 9b70e967639c6cb6b2483eb0a15daa098edbfd92c184ebe870475c316f8d1b78ae337b51d1e5455aaf2d7c6eab52d3bfa440ad0f2a00e9b6b415956a1cfee5fb
Homepage: https://cran.r-project.org/package=TR8
Description: CRAN Package 'TR8' (A Tool for Downloading Functional Traits Data for Plant Species)
 Plant ecologists often need to collect "traits" data about plant species
 which are often scattered among various databases: TR8 contains a set of
 tools which take care of automatically retrieving some of those functional
 traits data for plant species from publicly available databases (The
 Ecological Flora of the British Isles, LEDA traitbase, Ellenberg values for
 Italian Flora, Mycorrhizal intensity databases, BROT, PLANTS, Jepson Flora
 Project).  The TR8 name, inspired by "car plates" jokes, was chosen since it
 both reminds of the main object of the package and is extremely short to
 type.

Package: r-cran-trace
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1583
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-mgcv, r-cran-plotly, r-cran-pracma, r-cran-seqinr, r-cran-shiny
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trace_0.6.0-1.ca2004.1_all.deb
Size: 1446288
MD5sum: 065633b22328074bb27cc338d5e5c8e7
SHA1: 6473e0c42b49d34d804bbff32210fae835935a95
SHA256: f91038ec4e7969cce5a03cd0a9fb86fa24a5c16e5bfd2aea8b0cab9787ca874e
SHA512: cea8376b1a222f0e8432aeae5a1d149c3d0cc9121fe03446e11be7bd90587c01195666ea54fae3aa54d2a61f52e2ba440c8e9260a9145ed78899420d05446c7d
Homepage: https://cran.r-project.org/package=trace
Description: CRAN Package 'trace' (Tandem Repeat Analysis by Capillary Electrophoresis)
 A pipeline for short tandem repeat instability analysis from fragment
 analysis data. Inputs of fsa files or peak tables, and a user supplied
 metadata data-frame. The package identifies ladders, calls peaks, identifies
 the modal peaks, calls repeats, then calculates repeat instability metrics
 (e.g. expansion index from Lee et al. (2010) <doi:10.1186/1752-0509-4-29>).

Package: r-cran-traceassist
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog, r-cran-matrix, r-cran-glmnet, r-cran-keras
Filename: pool/dists/focal/main/r-cran-traceassist_0.1.0-1.ca2004.1_all.deb
Size: 48080
MD5sum: 6edbcdb251dc755e35e4b847a355d33b
SHA1: c5cb473fad1bdd3e6ce9df8448d4541b9d4684dc
SHA256: 3dd82d4e713a90bec882b525724a73be1225133ef116fee5729365bc2981fdf9
SHA512: 8d1f23b609eff1ccf7c3492f5e2a8a814abbe405770a6b9922eeb480469d7193f709eba12635ab089edf50a0ad5eaa6ce933c78f7fb3aec43a1f0b3af9666d63
Homepage: https://cran.r-project.org/package=TraceAssist
Description: CRAN Package 'TraceAssist' (Nonparametric Trace Regression via Sign Series Representation)
 Efficient method for fitting nonparametric matrix trace regression model.
 The detailed description can be found in C. Lee, L. Li, H. Zhang, and M.
 Wang (2021). Nonparametric Trace Regression via Sign Series Representation.
 <arXiv:2105.01783>. The method employs the aggregation of structured sign
 series for trace regression (ASSIST) algorithm.

Package: r-cran-tracee
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nmdata, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-flextable
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tracee_0.0.4-1.ca2004.1_all.deb
Size: 53780
MD5sum: 49392fbc1719570f55081976c27b2d0c
SHA1: fa2b8064d3d45c28ba55f75ce284cb7ca704df1a
SHA256: ba55edc8b86e5644215b0d849ed467bcd94216da96a859d9a45d9d5fe382e80b
SHA512: 3af9d6b8b18f93a267d56ad14c18a0a692c1d8bdae9c8bcaf6d46aa213b7affecac05c667a10a5eb9607382fb1d28eb991f1cade8c6a9df00a5aeb2bcbb6115f
Homepage: https://cran.r-project.org/package=tracee
Description: CRAN Package 'tracee' (Easily Save Output and Trace it Back to Code)
 Write output (plots and tables) ensuring traceability back to code. Includes
 a graphics saver with simple automation of stamping with source, destination
 and creation time. A list of plots can be saved at once. A user-friendly
 selection of output dimensions for presentations, on-screen inspections, and
 more available.

Package: r-cran-tracenma
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 866
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tracenma_0.1.1-1.ca2004.1_all.deb
Size: 640296
MD5sum: de7c00f9c7ce8c84528be1477cb702bd
SHA1: 88d5f53098639c8d0510a36fe87827f2e880b6bf
SHA256: e45216e3b2f95f274d20e59c6091f80b66a146fa8ce78c75e9c69b8808610f18
SHA512: 3486c06644ab28ee8dcf618de6b0c8f0d96ef75b6d244a0ce3742f876f1b3d801278f2d7d5d6389f8e4c673d4f4ab873e8f4181df65ad04e4cd05e0ce323e872
Homepage: https://cran.r-project.org/package=tracenma
Description: CRAN Package 'tracenma' (Database for Developing Transitivity Methodology in NetworkMeta-Analysis)
 Functions to access the database of 217 data-frames with aggregate
 study-level characteristics (that may act as effect modifiers) extracted
 from published systematic reviews with network meta-analysis. The database
 shall only be used for developing and appraising the methodology to assess
 the transitivity assumption quantitatively.

Package: r-cran-tracer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 659
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-clisymbols, r-cran-crayon, r-cran-prettycode
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tracer_1.0.0-1.ca2004.1_all.deb
Size: 386648
MD5sum: 6b110aa10b046698b6749b28ec8c18f6
SHA1: 519ae21ad46d3929031fbb9bcdf4c19422a40f47
SHA256: aed9935078cd0e3308634168bafbc066b79e17afed7105335be101966f12b538
SHA512: 696c221b5b3d850cc11ba2c61cdb26763436aaf3bfb1c4b8196e28c9a68a61293d2d15f948f891c1046f21fc89ee308e4debbc6f35a66f87b4ca8ed3d1af9114
Homepage: https://cran.r-project.org/package=tracer
Description: CRAN Package 'tracer' (Slick Call Stacks)
 Better looking call stacks after an error.

Package: r-cran-tracheider
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tgram
Filename: pool/dists/focal/main/r-cran-tracheider_0.1.1-1.ca2004.1_all.deb
Size: 48080
MD5sum: 554c8c64c0d48b008a12fbde9f59035f
SHA1: f8ffa0206fe371cf64c4e44e7d88d26568e63e3c
SHA256: a7108f341e6706e58cfa484519dae6cfae5655f1dd2665ddcaddea5872fdfa73
SHA512: 3dd259e1dbdeae49f207cee498bdce9d0776cd70b3b9a31053186b7a836d0eb91080f2808e920ce0b50d011606a3735ade25ca16093cba6fcd4bd5cb869140f4
Homepage: https://cran.r-project.org/package=tracheideR
Description: CRAN Package 'tracheideR' (Standardize Tracheidograms)
 Contains functions to standardize tracheid profiles using the traditional
 method (Vaganov) and a new method to standardize tracheidograms based on the
 relative position of tracheids within tree rings.

Package: r-cran-track2kba
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2335
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-adehabitathr, r-cran-dplyr, r-cran-foreach, r-cran-geosphere, r-cran-ggplot2, r-cran-lubridate, r-cran-magrittr, r-cran-maps, r-cran-matching, r-cran-move, r-cran-purrr, r-cran-raster, r-cran-rlang, r-cran-sf, r-cran-sp, r-cran-tidyr
Suggests: r-cran-adehabitatlt, r-cran-doparallel, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-track2kba_1.1.2-1.ca2004.1_all.deb
Size: 2092804
MD5sum: 2cbc50d590720415de894d4d69216880
SHA1: a3ff89855c5c39883c0d4d8773fb65a938275a7c
SHA256: fa22a060e8f1723ea3d3b354cd17ba3bc51ee8ae92d3b902b0300f6b0b1afea6
SHA512: 77724e4f66a3bd6dc7f0be75ffab689e3962b23eaff31958bb5e08a7acba818670dd405893aeda59c334dfa9e66bee01358021abe22bed5505ee194c6f49cba3
Homepage: https://cran.r-project.org/package=track2KBA
Description: CRAN Package 'track2KBA' (Identifying Important Areas from Animal Tracking Data)
 Functions for preparing and analyzing animal tracking data, with the
 intention of identifying areas which are potentially important at the
 population level and therefore of conservation interest. Areas identified
 using this package may be checked against global or regionally-defined
 criteria, such as those set by the Key Biodiversity Area program. The method
 published herein is described in full in Beal et al. 2021
 <doi:10.1111/2041-210X.13713>.

Package: r-cran-track
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-track_1.1.9-1.ca2004.1_all.deb
Size: 467876
MD5sum: c72741a203aa5fea7d191a29d8078bd5
SHA1: 3ba39d5a347d26fd4a3c5381f71b5e6f86d46183
SHA256: 528b3584dc53de8b356e1492fbe339b183d5e37c4f0a8f60620931c09fa5b803
SHA512: 4bc9ad6a2d4c5bfdfa83579f7b3f505ac78f6ede2d892054224c2505704cd6ca78e18615a1bb514a0854080b55f6e6ab955bf8545a8a4ef7e30668d9bcdc447f
Homepage: https://cran.r-project.org/package=track
Description: CRAN Package 'track' (Store Objects on Disk Automatically)
 Automatically stores objects in files on disk so that files are rewritten
 when objects are changed, and so that objects are accessible but do not
 occupy memory until they are accessed. Keeps track of times when objects are
 created and modified, and caches some basic characteristics of objects to
 allow for fast summaries of objects.  Also provides a command history
 mechanism that saves the last command to a history file after each command
 completes.

Package: r-cran-trackdf
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4089
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-tibble, r-cran-data.table, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-readr, r-cran-ggplot2, r-cran-mapproj, r-cran-knitr, r-cran-rmarkdown, r-cran-adehabitatlt, r-cran-move, r-cran-ctmm, r-cran-movehmm, r-cran-sp, r-cran-terra, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trackdf_0.3.3-1.ca2004.1_all.deb
Size: 613796
MD5sum: 7b106a8b56a742d639eb2534d8b98a6b
SHA1: 97a4b623fc6841a116682ad233d8046f98172bf5
SHA256: c00fbb77ba958d7c0ff37f60696c56889a0d2eaa3ed90925694b2bf5a135e95d
SHA512: 6d20d193794d8e81bc6aeea844e2686f8a4acd4ca4e579a4c44c94b5f85fb9ecb50493f8ac14a207128c0f82048521d25304c3c604655625a2da16c7b41c93e8
Homepage: https://cran.r-project.org/package=trackdf
Description: CRAN Package 'trackdf' (Data Frame Class for Tracking Data)
 Data frame class for storing collective movement data (e.g. fish schools,
 ungulate herds, baboon troops) collected from GPS trackers or computer
 vision tracking software.

Package: r-cran-trackdown
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1637
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-googledrive, r-cran-rmarkdown
Suggests: r-cran-covr, r-cran-devtools, r-cran-gargle, r-cran-knitr, r-cran-pagedown, r-cran-sodium, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-trackdown_1.1.1-1.ca2004.1_all.deb
Size: 1100076
MD5sum: d6a5b1c2b175988589897c4bf96070d7
SHA1: 6bb08c6c292d229263236edc0ec4129a67a54c8a
SHA256: 3885d81a54575919a19e06be1f5eb67032f96e7588853f3c0dd5b8d9ef339c12
SHA512: b4c27e9320dccf97f197441bb3d98212d3dcc7f1ebd8c8015f81e225a6fcf79e8d0429b9e1e34b91f6687661b641d184c5f295c41b08dad648ac3b0c6c8ac609
Homepage: https://cran.r-project.org/package=trackdown
Description: CRAN Package 'trackdown' (Collaborative Editing of Rmd (or Rnw) Documents in Google Drive)
 Collaborative writing and editing of R Markdown (or Sweave) documents. The
 local .Rmd (or .Rnw) is uploaded as a plain-text file to Google Drive. By
 taking advantage of the easily readable Markdown (or LaTeX) syntax and the
 well-known online interface offered by Google Docs, collaborators can easily
 contribute to the writing and editing process. After integrating all
 authors’ contributions, the final document can be downloaded and rendered
 locally.

Package: r-cran-tracker
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6340
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-ggplot2, r-cran-ggridges, r-cran-xml2, r-cran-rsqlite, r-cran-jsonlite, r-cran-raster, r-cran-scam, r-cran-foreach, r-cran-fda, r-cran-sp, r-cran-leaflet, r-cran-ggmap, r-cran-gridextra, r-cran-gtable
Suggests: r-cran-spelling, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tracker_1.6.0-1.ca2004.1_all.deb
Size: 5039452
MD5sum: cbd8a6216fdac370d1ab44b8e577e33b
SHA1: ea2b904352a22422f4ed9144a7eaafc37be3264e
SHA256: f8ef9494193f291624ebf6cd247fa65150f1ebe524d76a75f1af1c7596217ed2
SHA512: d937f81208aeec5742426c2c052de52bbfca52b6ff181ad962af51a40f795de6568cc91d7069e2cb1ca9faf1c105063de59688e03651816b58ce6bb34d4b2a6d
Homepage: https://cran.r-project.org/package=trackeR
Description: CRAN Package 'trackeR' (Infrastructure for Running, Cycling and Swimming Data fromGPS-Enabled Tracking Devices)
 Provides infrastructure for handling running, cycling and swimming data from
 GPS-enabled tracking devices within R. The package provides methods to
 extract, clean and organise workout and competition data into session-based
 and unit-aware data objects of class 'trackeRdata' (S3 class). The
 information can then be visualised, summarised, and analysed through
 flexible and extensible methods. Frick and Kosmidis (2017) <doi:
 10.18637/jss.v082.i07>, which is updated and maintained as one of the
 vignettes, provides detailed descriptions of the package and its methods,
 and real-data demonstrations of the package functionality.

Package: r-cran-trackerapp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3755
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-zoo, r-cran-foreach, r-cran-mgcv, r-cran-plotly, r-cran-dt, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets, r-cran-sf, r-cran-mapdeck, r-cran-v8
Filename: pool/dists/focal/main/r-cran-trackerapp_1.2-1.ca2004.1_all.deb
Size: 3573864
MD5sum: 0976d492b6d49a24cb752fcca69a0718
SHA1: 7405eab3b8cdbaeabf2b0c986feae0f0ee5c9559
SHA256: 5865384e7da4b30c27b6fc12923b2a6748f19253a7b982175c574ec8664f1409
SHA512: 37bce855d54f20a0cb7a726775a5e983e58a06972c0ef0082cabb6b39d45b615d7cab52a3afde451f736bfb70de68ec9e8fe11b76962720cf0fff4bf347e6d28
Homepage: https://cran.r-project.org/package=trackeRapp
Description: CRAN Package 'trackeRapp' (Interface for the Analysis of Running, Cycling and Swimming Datafrom GPS-Enabled Tracking Devices)
 Provides an integrated user interface and workflow for the analysis of
 running, cycling and swimming data from GPS-enabled tracking devices through
 the 'trackeR' <https://CRAN.R-project.org/package=trackeR> R package.

Package: r-cran-trackopt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-ggplot2, r-cran-oeli, r-cran-optimizer, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trackopt_0.1.0-1.ca2004.1_all.deb
Size: 72972
MD5sum: 864d53d4d4642018a82f2b57ed61d1ff
SHA1: 8a6a9c75c80ceab52a49e18faa7e48d7b095f193
SHA256: 25b06aabce288335c18fd9132397287b8828eb9c0612d8e22f3c5616dbee0112
SHA512: 315658c5b7470cf0a7d8c02b5fdbb3fe9a9cc5bd28f65b0bb7f2ef895f21380a35061477943c9790404a027697d8ccfac433cf311f1681d677a3c5121ae73e61
Homepage: https://cran.r-project.org/package=trackopt
Description: CRAN Package 'trackopt' (Track Numerical Optimization)
 Tracks parameter value, gradient, and Hessian at each iteration of numerical
 optimizers. Useful for analyzing optimization progress, diagnosing issues,
 and studying convergence behavior.

Package: r-cran-trackreconstruction
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-rcolorbrewer
Suggests: r-cran-lattice, r-cran-onion, r-cran-plotrix, r-cran-rgl, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-trackreconstruction_1.3-1.ca2004.1_all.deb
Size: 3287240
MD5sum: 6424c839fa9f029de70b3ba3a0a515dd
SHA1: fb48921583347a44d72b558220dd24389b6f1136
SHA256: fe77bf76deaddd0cd542c5932674b458fdbd7abc94105d650682c9074349bad1
SHA512: 4ba51bde09044f3d3d7686c1f29649e591fb4e6f00fe4dc0ba79b7d53affd359195356bb5c41e4212de5320ea6c23466a22f18c8c5e4ddba2c1a505cda2c5509
Homepage: https://cran.r-project.org/package=TrackReconstruction
Description: CRAN Package 'TrackReconstruction' (Reconstruct Animal Tracks from Magnetometer, Accelerometer,Depth and Optional Speed Data)
 Reconstructs animal tracks from magnetometer, accelerometer, depth and
 optional speed data.  Designed primarily using data from Wildlife Computers
 Daily Diary tags deployed on northern fur seals.

Package: r-cran-trackter
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1084
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-ebimage, r-cran-data.table, r-cran-dplyr, r-cran-momocs, r-cran-raster, r-cran-zoo, r-cran-plyr, r-cran-pastecs, r-cran-features, r-cran-jpeg, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-animation
Filename: pool/dists/focal/main/r-cran-trackter_0.1.1-1.ca2004.1_all.deb
Size: 872656
MD5sum: 945e058e98dccab9fd44cffd423532f8
SHA1: 5f1ed90ec2085f184fce107840dce734f6cd7918
SHA256: 569c659e41579a1b7d50fafc54a2a99be0e4cd8447b05a5917e7892d709faadf
SHA512: 7ecabef6cbb6691c6c27661b65dc3e7ce774757816a3ec641e863f758902579b2e45b27a10a754daeb643970f818cdf5af3dec5feb73be419bf29ede6a36b8c4
Homepage: https://cran.r-project.org/package=trackter
Description: CRAN Package 'trackter' (Automated Kinematic Analysis of Image Data)
 Analysis of shape and contours in regions of interest (ROIs) in image
 sequences and extracting midline and other kinematic data.

Package: r-cran-tractor.base
Architecture: all
Version: 3.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3285
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ore, r-cran-reportr, r-cran-shades, r-cran-rnifti
Suggests: r-cran-mmand, r-cran-loder, r-cran-divest, r-cran-jsonlite, r-cran-yaml, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tractor.base_3.4.2-1.ca2004.1_all.deb
Size: 2787816
MD5sum: 377100a6e2bbbb36e0b2cf6e1d481b3a
SHA1: c6a521d57c9cac0b25433670fe221704d24b6cbc
SHA256: 66bc01ab3a3a750780b14de02299dbe3ac9ff6908596af3d02bb3c0e86f70462
SHA512: 17b11db1871c77066e759a9ca59a5b40d5a2c35a51e833331f804ae9b44a949e07bc9f8b4899cc340abd3915ac333f0cc84902f67eb0bdd50e8322152d435e7a
Homepage: https://cran.r-project.org/package=tractor.base
Description: CRAN Package 'tractor.base' (Read, Manipulate and Visualise Magnetic Resonance Images)
 Functions for working with magnetic resonance images. Reading and writing of
 popular file formats (DICOM, Analyze, NIfTI-1, NIfTI-2, MGH); interactive
 and non-interactive visualisation; flexible image manipulation; metadata and
 sparse image handling.

Package: r-cran-tractortsbox
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate
Suggests: r-cran-testthat, r-cran-renv, r-cran-fuzzr, r-cran-pkgdown, r-cran-devtools, r-cran-usethis, r-cran-covr, r-cran-withr, r-cran-altdoc
Filename: pool/dists/focal/main/r-cran-tractortsbox_0.1.1-1.ca2004.1_all.deb
Size: 144684
MD5sum: 6c3f3fed274f165b152d188c474e1b11
SHA1: 9103702784ed649090cec7f9ff0ab580cbc547e9
SHA256: 9829b7e34bb42ed0f0a3e1ec7719e04f53fbc13ddad5ef404ae174b33a184963
SHA512: 490f213b4060977d507bac3e6287e510b2b7c6a29bbaa36f1d552d793c79070b7fee8debcd5d040be7c59f3360ce75bf0a5073b37b0bd3c85cfe78bf7f3f9151
Homepage: https://cran.r-project.org/package=TractorTsbox
Description: CRAN Package 'TractorTsbox' (Wrangle and Modify Ts Object with Classic Frequencies and ExactDates)
 The ts objects in R are managed using a very specific date format (in the
 form c(2022, 9) for September 2022 or c(2021, 2) for the second quarter of
 2021, depending on the frequency, for example). We focus solely on monthly
 and quarterly series to manage the dates of ts objects. The general idea is
 to offer a set of functions to manage this date format without it being too
 restrictive or too imprecise depending on the rounding. This is a compromise
 between simplicity, precision and use of the basic 'stats' functions for
 creating and managing time series (ts(), window()).  Les objets ts en R sont
 gérés par un format de date très particulier (sous la forme c(2022, 9) pour
 septembre 2022 ou c(2021, 2) pour le deuxième trimestre 2021 selon la
 fréquence par exemple). On se concentre uniquement sur les séries mensuelles
 et trimestrielles pour gérer les dates des objets ts. Lidée générale est de
 proposer un ensemble de fonctions pour gérer ce format de date sans que ce
 soit trop contraignant ou trop imprécis selon les arrondis. Cest un
 compromis entre simplicité, précision et utilisation des fonctions du
 package 'stats' de création et de gestion des séries temporelles (ts(),
 window()).

Package: r-cran-trade
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1967
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-antitrust
Suggests: r-cran-bb, r-cran-competitiontoolbox, r-cran-rmarkdown, r-cran-bookdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-trade_0.8.1-1.ca2004.1_all.deb
Size: 820248
MD5sum: 5bea5027126298768f4cf2b1c689efb2
SHA1: f64f87fa08727aa725d1507847583b4d82cdbbbd
SHA256: e4d4acce995b4c6b315fda49f1a2336e73769fbb0a8c6f2123c74d1494743dee
SHA512: e19759e4c218448cf8a50f41bcb85dceedbe2195f1a9170c1d5ffa7e09126cd793eeb5f897a3a71fec592e1655a9bd92f378329c11a20629b30b3472bcbd8804
Homepage: https://cran.r-project.org/package=trade
Description: CRAN Package 'trade' (Tools for Trade Practitioners)
 A collection of tools for trade practitioners, including the ability to
 calibrate different consumer demand systems and simulate the effects of
 tariffs and quotas under different competitive regimes. These tools are
 derived from Anderson et al. (2001) <doi:10.1016/S0047-2727(00)00085-2> and
 Froeb et al. (2003) <doi:10.1016/S0304-4076(02)00166-5>.

Package: r-cran-tradeoffaucdim
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1447
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-superlearner, r-cran-dplyr, r-cran-speedglm, r-cran-magrittr, r-cran-purrr, r-cran-rsample, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-rocr, r-cran-caret, r-cran-ez, r-cran-fastdummies, r-cran-fuzzysim, r-cran-ggplot2
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tradeoffaucdim_0.1.0-1.ca2004.1_all.deb
Size: 1163588
MD5sum: 66f8e24050806330f7ccd5be7ad77926
SHA1: 066f87e0df67032b27cd76d74402131d93dca28b
SHA256: f611e9f75d6d2274077a4142e610f689756b04ca6b996e540d65c1a5c57976ad
SHA512: 1d36988945cd82205df50627c3d0258b02f05f87c03728374b333d693ae19effc2ab9fc8ee11ff68c2fe67afebe0520b80118c4c31fa4df768a179c35678d117
Homepage: https://cran.r-project.org/package=tradeoffaucdim
Description: CRAN Package 'tradeoffaucdim' (Plotting Trade-Off AUC-Dimensionality)
 Perform and Runtime statistical comparisons between models.  This package
 aims at choosing the best model for a particular dataset, regarding its
 discriminant power and runtime.

Package: r-cran-tradepolicy
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1705
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magrittr, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-fixest, r-cran-sandwich, r-cran-broom, r-cran-msm, r-cran-knitr, r-cran-formula
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tradepolicy_0.7.0-1.ca2004.1_all.deb
Size: 1483848
MD5sum: a79a6bf12166ab481131813ceef5ab10
SHA1: 3a5f0dfc933d0dd787d90237b8f8f2bd9f904718
SHA256: 9b6ca877e59a572bface0afe1070296617edd4416bc849af4b66510102892c45
SHA512: a2fcc1d9afec7096ebccd854230ba1d2f66e791bb298fc4d8b00b7b43ad17b2d7a4499fbe9e8c80c9fdf3978ac457195d962ea05f5b32d867f4ea007fb16125e
Homepage: https://cran.r-project.org/package=tradepolicy
Description: CRAN Package 'tradepolicy' (Replication of 'An Advanced Guide To Trade Policy Analysis')
 Datasets from Yotov, et al. (2016, ISBN:978-92-870-4367-2) "An Advanced
 Guide to Trade Policy Analysis" and functions to report regression summaries
 with clustered robust standard errors.

Package: r-cran-trader
Architecture: all
Version: 1.2-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 251
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplr
Filename: pool/dists/focal/main/r-cran-trader_1.2-6-1.ca2004.1_all.deb
Size: 217304
MD5sum: 0c8bf17cbb2a84c45dcd7df5ab38b332
SHA1: 33d0a91e078814080c9b94d48b919c3788f79492
SHA256: 4284519c22ec0dafc72da187b743c598ba091a9e8101bad5bb33608ed8594fd5
SHA512: 9bff2883d0529a4e3472e4d5e203e14f06e5ab89b8108ade7bb6dcd1820d7aaab2d860b1c1e8cbad7e1c28d68f78eba5ff269860ffd08aad0a4f375ee4a0c30e
Homepage: https://cran.r-project.org/package=TRADER
Description: CRAN Package 'TRADER' (Tree Ring Analysis of Disturbance Events in R)
 Tree Ring Analysis of Disturbance Events in R (TRADER) package provides
 functions for disturbance reconstruction from tree-ring data, e.g. boundary
 line, absolute increase, growth averaging methods.

Package: r-cran-tradestatistics
Architecture: all
Version: 5.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-data.table, r-cran-digest, r-cran-jsonlite, r-cran-memoise
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tibble, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-tradestatistics_5.0.0-1.ca2004.1_all.deb
Size: 354576
MD5sum: 575eebb4b3d93146f2197eda488e6037
SHA1: 7e14e329ef6b6e07625de47a1510ac149779ec1a
SHA256: 9efd1d02410bf853d4f5dd58ca5b86efb17f52d9ecbad896a9fedad75f5a1b5a
SHA512: e68e89c72e317b843d2ec182a0ce5df6fc7d4741779b712fa6d8f77147d3f7146879ce08d0823f91ae12af4c05955cc5afb4bbae99e1d802f400e110eb6c78e8
Homepage: https://cran.r-project.org/package=tradestatistics
Description: CRAN Package 'tradestatistics' (Open Trade Statistics API Wrapper and Utility Program)
 Access 'Open Trade Statistics' API from R to download international trade
 data.

Package: r-cran-trading
Architecture: all
Version: 3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1132
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-reticulate, r-cran-performanceanalytics, r-cran-data.table, r-cran-ggplot2, r-cran-readxl, r-cran-rcppalgos
Filename: pool/dists/focal/main/r-cran-trading_3.2-1.ca2004.1_all.deb
Size: 712756
MD5sum: 5c76048e360710aa0edf135b89882465
SHA1: a2c69219b858b83da5d55764a83eecf4cafe15d9
SHA256: bfd1bf9befcd9e90798f2dfbf913700595a51be01aec36f6ca09fb4554235f57
SHA512: 1539c0b5b85f01a3430ee96e83e59388ff17ab07f85ff37992ae83cdd8d2620799da9ac01017babe0559a05f26713cddcf773cc292bd453c56b0480a57a585ca
Homepage: https://cran.r-project.org/package=Trading
Description: CRAN Package 'Trading' (Trade Objects, Advanced Correlation & Beta Estimates, BettingStrategies)
 Contains performance analysis metrics of track records including
 entropy-based correlation and dynamic beta based on a state/space algorithm.
 The normalized sample entropy method has been implemented which produces
 accurate entropy estimation even on smaller datasets.  On a separate stream,
 trades from the five major assets classes and also functionality to use
 pricing curves, rating tables, Credit Support Annex and add-on tables. The
 implementation follows an object oriented logic whereby each trade inherits
 from more abstract classes while also the curves/tables are objects.
 Furthermore, odds calculators and P&L back-testing functionality has been
 implemented for the most widely used betting/trading strategies including
 martingale, 'DAlembert', 'Labouchere' and Fibonacci. Back testing has also
 been included for the 'EuroMillions', the 'EuroJackpot', the UK Lotto, the
 Set For Life and the UK 'ThunderBall' lotteries.  Furthermore, some basic
 functionality about climate risk has been included.

Package: r-cran-trafficbde
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-data.table, r-cran-descriptivestats.obeu, r-cran-dplyr, r-cran-lubridate, r-cran-rcurl, r-cran-zoo
Suggests: r-cran-devtools, r-cran-knitr, r-cran-neuralnet, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-trafficbde_0.1.2-1.ca2004.1_all.deb
Size: 57856
MD5sum: 78556a12740b1664972d485afecbe32f
SHA1: 9177f8cb1d10dca6106061c77004b09e41889642
SHA256: 72426e1b3c7579f08b6350077070c99808280462656f5c27669768b4651fc292
SHA512: a4512cb80ff766019cd91951bdcd0b6b8b45b191a874d7d9c0731eb3a11aea75cdf7da07dbc2f7d3acfc0a6d4b4a83d628033f594f72b426447c39ea538c1f67
Homepage: https://cran.r-project.org/package=TrafficBDE
Description: CRAN Package 'TrafficBDE' (Traffic Predictions Using Neural Networks)
 Estimate and return either the traffic speed or the car entries in the city
 of Thessaloniki using historical traffic data. It's used in transport pilot
 of the 'BigDataEurope' project. There are functions for processing these
 data, training a neural network, select the most appropriate model and
 predict the traffic speed or the car entries for a selected time date.

Package: r-cran-trafo
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 738
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn, r-cran-moments, r-cran-pryr, r-cran-lmtest
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-trafo_1.0.1-1.ca2004.1_all.deb
Size: 697640
MD5sum: 947c678926c80f7aa2acb11c1a672a7e
SHA1: 5e6a16c0aaf9d8441b2f660ab6471f979ef5a8d2
SHA256: a2abf32eb629bf8de7a212b35b509c314159180d036bbac32e1f8b67df507d78
SHA512: 49b7dde48f6c6b72b20c7d1b2bcae468f533e8afb09b2b58226726207ab430e0ea1b5c340b00728d17f7e289560f74a4d88c5ce5c203f1f47aab585640c0c2bf
Homepage: https://cran.r-project.org/package=trafo
Description: CRAN Package 'trafo' (Estimation, Comparison and Selection of Transformations)
 Estimation, selection and comparison of several families of transformations.
 The families of transformations included in the package are the following:
 Bickel-Doksum (Bickel and Doksum 1981 <doi:10.2307/2287831>), Box-Cox, Dual
 (Yang 2006 <doi:10.1016/j.econlet.2006.01.011>), Glog (Durbin et al. 2002
 <doi:10.1093/bioinformatics/18.suppl_1.S105>), gpower (Kelmansky et al. 2013
 <doi:10.1515/sagmb-2012-0030>), Log, Log-shift opt (Feng et al. 2016
 <doi:10.1002/sta4.104>), Manly, modulus (John and Draper 1980
 <doi:10.2307/2986305>), Neglog (Whittaker et al. 2005
 <doi:10.1111/j.1467-9876.2005.00520.x>), Reciprocal and Yeo-Johnson. The
 package simplifies to compare linear models with untransformed and
 transformed dependent variable as well as linear models where the dependent
 variable is transformed with different transformations. Furthermore, the
 package employs maximum likelihood approaches, moments optimization and
 divergence minimization to estimate the optimal transformation parameter.

Package: r-cran-trainer
Architecture: all
Version: 2.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 240
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-neuralnet, r-cran-rpart, r-cran-xgboost, r-cran-randomforest, r-cran-e1071, r-cran-kknn, r-cran-dplyr, r-cran-mass, r-cran-ada, r-cran-nnet, r-cran-stringr, r-cran-adabag, r-cran-glmnet, r-cran-rocr, r-cran-gbm, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-trainer_2.2.2-1.ca2004.1_all.deb
Size: 202040
MD5sum: 3b8174260b57d28ce0652b5d70ee63bd
SHA1: c3010a5c3c4e03f0513725e68f2bbad48477d02d
SHA256: ba43b1661e2ad508f65a7eb6b18e71f6c90d35833d6596ecebcc603aca007b4a
SHA512: 79ae2e585ec6c7f8cfaf7bbab2de882f48a139c86377b250c5b400be0b90a53dbfe10881cdd4c18aa05b9137b852eb7b7c43e66ff9d5f27ecc63a450b20a25da
Homepage: https://cran.r-project.org/package=traineR
Description: CRAN Package 'traineR' (Predictive (Classification and Regression) Models Homologator)
 Methods to unify the different ways of creating predictive models and their
 different predictive formats for classification and regression. It includes
 methods such as K-Nearest Neighbors Schliep, K. P. (2004)
 <doi:10.5282/ubm/epub.1769>, Decision Trees Leo Breiman, Jerome H. Friedman,
 Richard A. Olshen, Charles J. Stone (2017) <doi:10.1201/9781315139470>, ADA
 Boosting Esteban Alfaro, Matias Gamez, Noelia García (2013)
 <doi:10.18637/jss.v054.i02>, Extreme Gradient Boosting Chen & Guestrin
 (2016) <doi:10.1145/2939672.2939785>, Random Forest Breiman (2001)
 <doi:10.1023/A:1010933404324>, Neural Networks Venables, W. N., & Ripley, B.
 D. (2002) <ISBN:0-387-95457-0>, Support Vector Machines Bennett, K. P. &
 Campbell, C. (2000) <doi:10.1145/380995.380999>, Bayesian Methods Gelman,
 A., Carlin, J. B., Stern, H. S., & Rubin, D. B. (1995)
 <doi:10.1201/9780429258411>, Linear Discriminant Analysis Venables, W. N., &
 Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Quadratic Discriminant Analysis
 Venables, W. N., & Ripley, B. D. (2002) <ISBN:0-387-95457-0>, Logistic
 Regression Dobson, A. J., & Barnett, A. G. (2018)
 <doi:10.1201/9781315182780> and Penalized Logistic Regression Friedman, J.
 H., Hastie, T., & Tibshirani, R. (2010) <doi:10.18637/jss.v033.i01>.

Package: r-cran-trainr
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-usethis, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-trainr_0.0.1-1.ca2004.1_all.deb
Size: 85676
MD5sum: 2b507f918f621ed4764f8ec4057d31a0
SHA1: 1da9988e2b0cdb99c166140c83614276aa3049eb
SHA256: 3556b91b145239485e1e3a40ae1be970d4a117e05d5fb569e7b91aed6c3746b8
SHA512: b70aa9c52e3896c9ceed03c58a48082b95c9e971e26f1a571bf2039e7af47808f5a3055d2062f4c1a3c4696896e10e9826013f741ef79f1b8d14749f712f3d9d
Homepage: https://cran.r-project.org/package=trainR
Description: CRAN Package 'trainR' (An Interface to the National Rail Enquiries Systems)
 The goal of 'trainR' is to provide a simple interface to the National Rail
 Enquiries (NRE) systems. There are few data feeds available, the simplest of
 them is Darwin, which provides real-time arrival and departure predictions,
 platform numbers, delay estimates, schedule changes and cancellations. Other
 data feeds provide historical data, Historic Service Performance (HSP), and
 much more. 'trainR' simplifies the data retrieval, so that the users can
 focus on their analyses. For more details visit
 <https://www.nationalrail.co.uk/46391.aspx>.

Package: r-cran-trainsplit
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table
Suggests: r-cran-tibble, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-trainsplit_1.2-1.ca2004.1_all.deb
Size: 13208
MD5sum: 751542018be6a4f32963adae4d1035df
SHA1: 189e4dd17ec55cf1d4c5a56e18fb88f00ee8f3e3
SHA256: 1cec1a200017fc459af5c1c03efac605b5376006b279ddbf47c077a94a44ebac
SHA512: f4ad2e177777ce172d2f435ab7eb1c1182139931aba09aff639236168ed0ca825ad2643e8b5f0418a9957ee21eefffc489daafe2d1db6e5c6abfb31520059162
Homepage: https://cran.r-project.org/package=trainsplit
Description: CRAN Package 'trainsplit' (Split a Dataframe, Tibble, or Data.table into Training and TestSets)
 Split a dataframe, tibble, or data.table into training and test sets. Return
 either a list, an index, or directly assign training and test sets into
 memory.

Package: r-cran-traipse
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 428
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-geodist, r-cran-geosphere
Suggests: r-cran-covr, r-cran-testthat, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-traipse_0.3.0-1.ca2004.1_all.deb
Size: 384532
MD5sum: d61078cde6925060b0933f0094c5367b
SHA1: c90f82fb08c089ab6206c8ba1a2c12aef787dec2
SHA256: 494e894b5fdf1037c72db7937b37c0c4a19be9b02bbad3944b81cfb35588e602
SHA512: 8cf78963351214c77f99bf3d741f9e0bd0ecf94d7ee6d18caa859e1f44b26acd1e7d637a82b1dd5775c779269757d4e1b008b1be24ef71f970da9cfa004bb929
Homepage: https://cran.r-project.org/package=traipse
Description: CRAN Package 'traipse' (Shared Tools for Tracking Data)
 A collection of commonly used tools for animal movement and other tracking
 data. Variously distance, angle, bearing, distance-to, bearing-to and speed
 are provided for geographic data that can be used directly or within
 'tidyverse' syntax. Distances and bearings are calculated using modern
 geodesic methods as provided by Charles F. F. Karney (2013)
 <doi:10.1007/s00190-012-0578-z> via the 'geodist' and 'geosphere' packages.

Package: r-cran-traitdataform
Architecture: all
Version: 0.6.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 669
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-reshape2, r-cran-taxize, r-cran-getpass, r-cran-units, r-cran-suppdata, r-cran-curl, r-cran-xml, r-cran-rcurl, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-traitdataform_0.6.8-1.ca2004.1_all.deb
Size: 360224
MD5sum: 13f475a3f55c332d9c795dd5f90c5166
SHA1: 0823c857827dfb77f3714f4a3b6b0a9190e607fb
SHA256: 9cbc6a7225f38fb9334faca25acea831fa4e53899ff4ebffbb74d25548a217e4
SHA512: b7b5dd8f5f65470b2140f8bc4f3b16b5990d43d71cf7ef34d0344eade49f68906f580319b8966f5ad4bf66346c0372763c886e4918af06fe2615837b471c53e9
Homepage: https://cran.r-project.org/package=traitdataform
Description: CRAN Package 'traitdataform' (Formatting and Harmonizing Ecological Trait-Data)
 Assistance for handling ecological trait data and applying the Ecological
 Trait-Data Standard terminology (Schneider et al. 2019
 <doi:10.1111/2041-210X.13288>). There are two major use cases: (1)
 preparation of own trait datasets for publication, and (2) harmonizing trait
 datasets from different sources by re-formatting them into a unified format.
 See 'traitdataform' website for full documentation.

Package: r-cran-traits
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3079
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-crul, r-cran-tibble, r-cran-data.table, r-cran-readr, r-cran-taxize, r-cran-xml2, r-cran-rvest, r-cran-hoardr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-dplyr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-traits_0.5.1-1.ca2004.1_all.deb
Size: 1564184
MD5sum: 990f680e79cdad3695d39b6779b62b03
SHA1: e739b9263d9b5cf1e27d7e39c424562ac80fb437
SHA256: 76b760098d33834f3d2ea6b57ed5db07d051a746ca521dbe3ff5344a122095f7
SHA512: 21992af903cc9fd41bf057475dde8381b48c2c129c2a5ac233cd44bf2e2f1a4eca1c65364e6cce80e6f278ab852c1392f26225e4497174f079bd32de746b0672
Homepage: https://cran.r-project.org/package=traits
Description: CRAN Package 'traits' (Species Trait Data from Around the Web)
 Species trait data from many different sources, including sequence data from
 'NCBI' (<https://www.ncbi.nlm.nih.gov/>), plant trait data from 'BETYdb',
 data from 'EOL' 'Traitbank', 'Birdlife' International, and more.

Package: r-cran-traitstats
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lattice, r-cran-rlist, r-cran-gridextra, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-traitstats_1.0.2-1.ca2004.1_all.deb
Size: 181008
MD5sum: 68bc37577d0f13809d8f12b0b3493beb
SHA1: b227003cea2dd6f9c945f75eb9d676f108b160bd
SHA256: 56a8638ed834decd1b3e4af4dba7e693a5ad50efaa6d14332f0f543670c89d46
SHA512: c7cbe9ec65830776fa4baf04e2e7eb4160adb8234b23db60ca76e54311c5e33fadfb6d15ec0bb74c4aab7154036fb7559e7a897e87085e7aa8e9738daa2333ca
Homepage: https://cran.r-project.org/package=TraitStats
Description: CRAN Package 'TraitStats' (Statistical Data Analysis for Randomized Block DesignExperiments)
 Functions for analysis of bulk data generated from experiments in Randomized
 block design as per Panse and Sukhatme (1954)
 <https://books.google.co.in/books?id=Efo9AAAAYAAJ>. Computes analysis of
 variance; Descriptive statistics parameter like Mean, Minimum, Maximum, CV,
 Standard error of mean, Standard Error of deviation, CD; Genetic parameter
 statistics Genotypic Coefficient of Variation, Phenotypic Coefficient of
 Variation, Heritability in broad sense, Genetic Advance and Genetic Advance
 per cent mean; Variance and Co-variance matrix of genotypic, phenotypic and
 environmental; Correlation of genotypic, phenotypic and environmental.
 Further includes directly publication ready tables.

Package: r-cran-traitstrap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4080
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-e1071, r-cran-glue, r-cran-ggplot2, r-cran-tibble, r-cran-stringr, r-cran-fitdistrplus, r-cran-tidyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-fd, r-cran-tpd
Filename: pool/dists/focal/main/r-cran-traitstrap_0.1.0-1.ca2004.1_all.deb
Size: 3417736
MD5sum: 71dccbe6b9c7cd6586f7da179a322cbc
SHA1: 1700b3cd3680a5b24e40ec7aa1a8d0304a937fd2
SHA256: 936889e4f436b0fcfee6cbff19554662895382d3f5facde3e23d1e26cf55f3d3
SHA512: 5c5a8e8d35a36e2eee37f63c68e632cf160ca97627ac90b4d14b332d06926497bd8611da0726fd57c3daf8294a93a57ec9b51577561d6d9c4bb50b649193b020
Homepage: https://cran.r-project.org/package=traitstrap
Description: CRAN Package 'traitstrap' (Bootstrap Trait Values to Calculate Moments)
 Calculates trait moments from trait and community data using the methods
 developed in Maitner et al (2021) <doi:10.22541/au.162196147.76797968/v1>.

Package: r-cran-traj
Architecture: all
Version: 2.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-psych
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-traj_2.2.1-1.ca2004.1_all.deb
Size: 501036
MD5sum: b25c93e3241e28db796f6c4c23b793de
SHA1: 1ef1e01c63f6bc0bcafc0c586fbb6ebe09fc3610
SHA256: d1b6fd9e37f410cad5d12f71cae728a6c3a4aa310ac109127be7f9f509ac9903
SHA512: 508831a12ba6f03c810a23858571c7cc1c3d31342669d2934c12af1d984270f4f1b463ac6fee298b1dbd647fbf99d76a12453a33df282fb717e9540bf0cdf940
Homepage: https://cran.r-project.org/package=traj
Description: CRAN Package 'traj' (Clustering of Functional Data Based on Measures of Change)
 Implements a three-step procedure in the spirit of Leffondre et al. (2004)
 to identify clusters of individual longitudinal trajectories. The procedure
 involves (1) computing a number of "measures of change" capturing various
 features of the trajectories; (2) using a Principal Component Analysis based
 dimension reduction algorithm to select a subset of measures and (3) using
 the k-medoids or k-means algorithm to identify clusters of trajectories.

Package: r-cran-trajdatamining
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3704
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-trajectories, r-cran-xts, r-cran-spacetime, r-cran-rpostgresql, r-cran-geosphere, r-cran-rgdal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-ggplot2, r-cran-rgeos, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-trajdatamining_0.1.6-1.ca2004.1_all.deb
Size: 504388
MD5sum: bc7bb5c2cebd04075f650a16266ba8d3
SHA1: 566b0859195bbe82430dfd88e605abc85e861582
SHA256: 8c74e38c2c2b8014ef8da039ffef19c6be731d8b8fb7e51a0acdb121f1e7b700
SHA512: 1ffac5b2a5b000b3ed3202161fa1fc1340075ca404129ca3c53d752202b432d77fa04dfc7930d636de4f319df6b55beba542b654ff0e1653fe6c897240cc99f7
Homepage: https://cran.r-project.org/package=TrajDataMining
Description: CRAN Package 'TrajDataMining' (Trajectories Data Mining)
 Contains a set of methods for trajectory data preparation, such as
 filtering, compressing and clustering, and for trajectory pattern discovery.

Package: r-cran-trajectories
Architecture: all
Version: 0.2-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1395
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lattice, r-cran-sp, r-cran-spacetime, r-cran-zoo
Suggests: r-cran-openstreetmap, r-cran-rcurl, r-cran-rjson, r-cran-adehabitatlt, r-cran-xts, r-cran-knitr, r-cran-rgl, r-cran-forecast, r-cran-mass, r-cran-spatstat, r-cran-spatstat.explore, r-cran-spatstat.geom, r-cran-sf
Filename: pool/dists/focal/main/r-cran-trajectories_0.2-9-1.ca2004.1_all.deb
Size: 1054820
MD5sum: f1eecd8b5190c6637050c066f2f301cd
SHA1: 1023d77ddbdf3ecabfbec4f3d883d01945c0b4db
SHA256: 046ef17ef0d5c01181834006e9d53e6577cdfae115771b5b567d4ad3e6ea9ba3
SHA512: bb43da2317be170df91c4bd97a6518b3ec56c2adf13bff2ef4d89f74819093ff033f253d2296eed8afa1579cb42f2462bab8e69df0d0adf5f909869d5f2b0f4d
Homepage: https://cran.r-project.org/package=trajectories
Description: CRAN Package 'trajectories' (Classes and Methods for Trajectory Data)
 Classes and methods for trajectory data, with support for nesting individual
 Track objects in track sets (Tracks) and track sets for different entities
 in collections of Tracks. Methods include selection, generalization,
 aggregation, intersection, simulation, and plotting.

Package: r-cran-trajmsm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-e1071, r-cran-flexmix, r-cran-ggplot2, r-cran-survival, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-trajmsm_0.1.4-1.ca2004.1_all.deb
Size: 131652
MD5sum: 369da547adbff16b794e1af194485701
SHA1: 24aea19e3c63ae61a5941593aadd7fadff93b10a
SHA256: ea77e3476c98fca8305178076d986bae0e1594e7945bc60efbbc1714fc2debae
SHA512: 3340c16cb0a402d435279b619f67c3cd59d765ed8f4751919012781ec830a1f5e225f5a00c627a27b0d2f17bce519004a01aeee7373ec4fae787fcdcb450d10b
Homepage: https://cran.r-project.org/package=trajmsm
Description: CRAN Package 'trajmsm' (Marginal Structural Models with Latent Class Growth Analysis ofTreatment Trajectories)
 Implements marginal structural models combined with a latent class growth
 analysis framework for assessing the causal effect of treatment
 trajectories. Based on the approach described in "Marginal Structural Models
 with Latent Class Growth Analysis of Treatment Trajectories" Diop, A.,
 Sirois, C., Guertin, J.R., Schnitzer, M.E., Candas, B., Cossette, B.,
 Poirier, P., Brophy, J., Mésidor, M., Blais, C. and Hamel, D., (2023)
 <doi:10.1177/09622802231202384>.

Package: r-cran-trajr
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1422
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-signal, r-cran-plotrix
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-readr, r-cran-sp, r-cran-mass, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trajr_1.5.1-1.ca2004.1_all.deb
Size: 671128
MD5sum: 6c908ec228c4034fbf3764dc5081fd98
SHA1: 2f3d405b09feb4057b042fde7b1f1eb5164d3cf4
SHA256: f10475b6f04f7225e43972af609d0d186e0def41dfa777e0f7ecad7198ea5bd7
SHA512: 798a1b8d95652c8b8771713fa492556a5a97bb5f32af1e47f1b176ac782cce317b697635a58b6f2c924ac4fb2280d0105cc73eea0c68ce323bf43631c019c71d
Homepage: https://cran.r-project.org/package=trajr
Description: CRAN Package 'trajr' (Animal Trajectory Analysis)
 A toolbox to assist with statistical analysis of animal trajectories.  It
 provides simple access to algorithms for calculating and assessing a variety
 of characteristics such as speed and acceleration, as well as multiple
 measures of straightness or tortuosity. Some support is provided for
 3-dimensional trajectories.  McLean & Skowron Volponi (2018)
 <doi:10.1111/eth.12739>.

Package: r-cran-tram
Architecture: all
Version: 1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2124
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mlt, r-cran-mvtnorm, r-cran-formula, r-cran-multcomp, r-cran-variables, r-cran-basefun, r-cran-sandwich, r-cran-survival, r-cran-matrix
Suggests: r-cran-mass, r-cran-th.data, r-cran-trtf, r-cran-mlbench, r-cran-knitr, r-cran-quantreg, r-cran-colorspace, r-cran-atr, r-cran-lme4, r-cran-merderiv, r-cran-sparsegrid, r-cran-alabama, r-cran-numderiv, r-cran-gridextra, r-cran-lattice, r-cran-latticeextra, r-cran-hsaur3, r-cran-ordinalcont, r-cran-coxme, r-cran-mlt.docreg, r-cran-ordinal, r-cran-coin, r-cran-asht, r-cran-gamlss, r-cran-randomforestsrc, r-cran-tramme, r-cran-glmmtmb, r-cran-geepack, r-cran-ranger, r-cran-eha, r-cran-flexsurv, r-cran-frailtyem, r-cran-frailtypack, r-cran-gamlss.cens, r-cran-icenreg, r-cran-mpr, r-cran-rms, r-cran-rstpm2, r-cran-timereg, r-cran-stat2data, r-cran-cotram, r-cran-latex2exp, r-cran-tramvs, r-cran-aer, r-cran-konpsurv, r-cran-gamlss.data
Filename: pool/dists/focal/main/r-cran-tram_1.2-3-1.ca2004.1_all.deb
Size: 1736068
MD5sum: f139be421546afda77d1a99b58591558
SHA1: 29e6ab1cabda9c33a885b0d5e25ced77a8a95bb9
SHA256: 9037aaddd8e428441b8de285903712952420519e656895660ed57393345aace9
SHA512: 18262c2c60f27ded27f76e905029fabe6db14550f34fd195515e3ac6a7a53dbabf4e83474304c27a36bd7745693cfde0ab221c0f1f844d7841e0111465e4e42b
Homepage: https://cran.r-project.org/package=tram
Description: CRAN Package 'tram' (Transformation Models)
 Formula-based user-interfaces to specific transformation models implemented
 in package 'mlt' (<DOI:10.32614/CRAN.package.mlt>,
 <DOI:10.32614/CRAN.package.mlt.docreg>).  Available models include Cox
 models, some parametric survival models (Weibull, etc.), models for ordered
 categorical variables, normal and non-normal (Box-Cox type) linear models,
 and continuous outcome logistic regression (Lohse et al., 2017,
 <DOI:10.12688/f1000research.12934.1>). The underlying theory is described in
 Hothorn et al. (2018) <DOI:10.1111/sjos.12291>. An extension to
 transformation models for clustered data is provided (Barbanti and Hothorn,
 2022, <DOI:10.1093/biostatistics/kxac048>). Multivariate conditional
 transformation models (Klein et al, 2022, <DOI:10.1111/sjos.12501>) and
 shift-scale transformation models (Siegfried et al, 2023,
 <DOI:10.1080/00031305.2023.2203177>) can be fitted as well. The package
 contains an implementation of a doubly robust score test, described in Kook
 et al. (2024, <DOI:10.1080/01621459.2024.2395588>).

Package: r-cran-tramicp
Architecture: all
Version: 0.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tram, r-cran-mlt, r-cran-coin, r-cran-multcomp, r-cran-survival, r-cran-variables, r-cran-basefun, r-cran-mass, r-cran-cotram, r-cran-dhsic, r-cran-ranger, r-cran-sandwich
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tramicp_0.1-0-1.ca2004.1_all.deb
Size: 120792
MD5sum: 635ca3166d4565a250adacac2f6c5cc4
SHA1: f8f9fcdd2235ed42bff27b63ff22685a54473b75
SHA256: c673f39518d8a63dc05ab9d9d110edde538c36a63372f142b7fa630f0c447da0
SHA512: c30f34e04e84113ef1a9b2676cd7b7a31650dfccf0b4f8eb3e6862289b81825ccdbde3e5eadfc18f9d3b01943060680b0c1bff294787d95308eeb05fb3cb3658
Homepage: https://cran.r-project.org/package=tramicp
Description: CRAN Package 'tramicp' (Model-Based Causal Feature Selection for General Response Types)
 Extends invariant causal prediction (Peters et al., 2016,
 <doi:10.1111/rssb.12167>) to generalized linear and transformation models
 (Hothorn et al., 2018, <doi:10.1111/sjos.12291>).  The methodology is
 described in Kook et al. (2023, <doi:10.1080/01621459.2024.2395588>).

Package: r-cran-tramnet
Architecture: all
Version: 0.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1540
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-tram, r-cran-mlt, r-cran-basefun, r-cran-sandwich, r-cran-paramhelpers, r-cran-lhs, r-cran-mlr, r-cran-smoof
Suggests: r-cran-penalized, r-cran-th.data, r-cran-survival, r-cran-knitr, r-cran-mlbench, r-cran-colorspace, r-cran-mvtnorm, r-cran-glmnet, r-cran-trtf, r-cran-matrix, r-cran-lattice, r-cran-kableextra, r-cran-coin, r-cran-tbm, r-cran-dicekriging
Filename: pool/dists/focal/main/r-cran-tramnet_0.0-8-1.ca2004.1_all.deb
Size: 858128
MD5sum: 1021b714500cbd9ba3db885467eec10c
SHA1: c6ff55f940e7d4477fbb7ff4cebc57c48642942b
SHA256: 6deee1083c55d292697bac27e5e69c2c323554087df24f9f5d419a2a33f404e6
SHA512: b521b18d01a7567adc360bfa7a4febcc4c727b2a7f2be800ca7d8eb2e95b3d9e26ca78af5fb27a2e814dbb41bd791a95542b585fd45a0d9a99b9fb3201f22ec3
Homepage: https://cran.r-project.org/package=tramnet
Description: CRAN Package 'tramnet' (Penalized Transformation Models)
 Partially penalized versions of specific transformation models implemented
 in package 'mlt'. Available models include a fully parametric version of the
 Cox model, other parametric survival models (Weibull, etc.), models for
 binary and ordered categorical variables, normal and transformed-normal
 (Box-Cox type) linear models, and continuous outcome logistic regression.
 Hyperparameter tuning is facilitated through model-based optimization
 functionalities from package 'mlrMBO'.  The accompanying vignette describes
 the methodology used in 'tramnet' in detail.  Transformation models and
 model-based optimization are described in Hothorn et al. (2019)
 <doi:10.1111/sjos.12291> and Bischl et al. (2016) <arxiv:1703.03373>,
 respectively.

Package: r-cran-trampoline
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coro, r-cran-fastmap, r-cran-rlang
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-bench, r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-trampoline_0.1.1-1.ca2004.1_all.deb
Size: 44440
MD5sum: 4d87dee41c14019786a99697943102bb
SHA1: 11b885d8efb5bf96ce7f7b885830bbaddd387fea
SHA256: 470fe634524fdd8bb0a976f6dfcf7e8a089bb98fb114a7fa0fba9b44d0bdb245
SHA512: c9c4834d76baf03b19706854ef7454506aae62b5bf211d03e20fc87bca4a1a1b87e0968935d60e4940095517bce7d5353144fac4068e582c82971995b7ac6004
Homepage: https://cran.r-project.org/package=trampoline
Description: CRAN Package 'trampoline' (Make Functions that Can Recurse Infinitely)
 Implements a trampoline algorithm for R that let's users write recursive
 functions that get around R's stack call limitations, enabling theoretically
 infinite recursion. The algorithm is based around generator function as
 implemented in the 'coro' package, and is based almost completely on the
 'trampoline' module from Python <https://gitlab.com/ferreum/trampoline>.

Package: r-cran-trampr
Architecture: all
Version: 1.0-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 652
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trampr_1.0-10-1.ca2004.1_all.deb
Size: 480324
MD5sum: fc227a00e6603f8ceec96a4404996a56
SHA1: 22df4320eebeb5374d0f62a10e2eff789b249016
SHA256: f344842d6bb765c77e2b5a545cbd1848ea4fbeed8dd3093c18c20b354ca1f136
SHA512: f28096a7fd9a4840c206695e1d7082ac41dbe9205adab63797a3faef896ea456387f0f005cd73054f89b5adea724990a420434946ec3e4bd98531862015840d2
Homepage: https://cran.r-project.org/package=TRAMPR
Description: CRAN Package 'TRAMPR' ('TRFLP' Analysis and Matching Package for R)
 Matching terminal restriction fragment length polymorphism ('TRFLP')
 profiles between unknown samples and a database of known samples.  'TRAMPR'
 facilitates analysis of many unknown profiles at once, and provides tools
 for working directly with electrophoresis output through to generating
 summaries suitable for community analyses with R's rich set of statistical
 functions.  'TRAMPR' also resolves the issues of multiple 'TRFLP' profiles
 within a species, and shared 'TRFLP' profiles across species.

Package: r-cran-tramvs
Architecture: all
Version: 0.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tram, r-cran-variables, r-cran-cotram, r-cran-future, r-cran-future.apply, r-cran-mvtnorm
Suggests: r-cran-abess, r-cran-tramnet, r-cran-colorspace, r-cran-knitr, r-cran-mlt, r-cran-th.data, r-cran-survival, r-cran-ordinal, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tramvs_0.0-7-1.ca2004.1_all.deb
Size: 228848
MD5sum: 6b3e93a8d9cf6bd37360850a6366f6c4
SHA1: 1110c8fff53b12db5cb770cd0e239f661f9fc798
SHA256: 6443214fb624771d6115684b990d728a8be453919b0f5258a4de62e4356ca0bf
SHA512: fab43527d1b5b9c2e9c94e1fea92c77734a08feb93e7f15544ac2bec82cf1b16703cdb4112ea2b8d329306bd4c6369622b879072550dbde8e7230acc47a721b9
Homepage: https://cran.r-project.org/package=tramvs
Description: CRAN Package 'tramvs' (Optimal Subset Selection for Transformation Models)
 Greedy optimal subset selection for transformation models (Hothorn et al.,
 2018, <doi:10.1111/sjos.12291> ) based on the abess algorithm (Zhu et al.,
 2020, <doi:10.1073/pnas.2014241117> ). Applicable to models from packages
 'tram' and 'cotram'. Application to shift-scale transformation models are
 described in Siegfried et al. (2024, <doi:10.1080/00031305.2023.2203177>).

Package: r-cran-transcriber
Architecture: all
Version: 0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-transcriber_0.0.0-1.ca2004.1_all.deb
Size: 30816
MD5sum: 2b3350a2c64a0c331c7604304d818613
SHA1: 235379967259d2641265f1e28219af924127a9aa
SHA256: b91296ec610bf6682be82ae5ac6b34f37b134c8522e70106d447e3857d2ca00b
SHA512: 753a7c426e8c1b5c85075fa62a2571a7c52e8090d3f9291c4b88fae869a429ca55c9565634c22ed1957c912d31f0f04c1ddd346759f6748efa7a1a4eedd4fb2f
Homepage: https://cran.r-project.org/package=transcribeR
Description: CRAN Package 'transcribeR' (Automated Transcription of Audio Files Through the HP IDOL API)
 Transcribes audio to text with the HP IDOL API. Includes functions to upload
 files, retrieve transcriptions, and monitor jobs.

Package: r-cran-transda
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-transda_1.0.1-1.ca2004.1_all.deb
Size: 70196
MD5sum: 3e2ec3f289ad8c33ccdf3c108644e113
SHA1: a6876ac54b050899b58bb735bc270132bc74f957
SHA256: 6b20e75db0acea1e99c0606d6427336ce55a5bd8809840667ce48a70d36f549f
SHA512: c0c5f678e29681b58b495cace3f0ca7955bd020d0965cae6042a962ce97cfbe0934fb21a4e91300ae4f0becda209dfeb7a73732e72db19275e922aee494c4867
Homepage: https://cran.r-project.org/package=transDA
Description: CRAN Package 'transDA' (Transformation Discriminant Analysis)
 Performs transformation discrimination analysis and non-transformation
 discrimination analysis. It also includes functions for Linear Discriminant
 Analysis, Quadratic Discriminant Analysis, and Mixture Discriminant
 Analysis. In the context of mixture discriminant analysis, it offers options
 for both common covariance matrix (common sigma) and individual covariance
 matrices (uncommon sigma) for the mixture components.

Package: r-cran-transforemotion
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3199
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-googledrive, r-cran-lsafun, r-cran-matrix, r-cran-pbapply, r-cran-progress, r-cran-remotes, r-cran-reticulate
Suggests: r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-transforemotion_0.1.6-1.ca2004.1_all.deb
Size: 3203680
MD5sum: be86c3dbaa986867410a109279171792
SHA1: c5a1f2a5d54664409c27ea22ad80ce33b13a00b7
SHA256: 98d7daa59c15656221d4bdc5b8061ed7e070642e7bf5fb8b98e1df2580cd32b4
SHA512: 1874cd3e1db8d138843429590acd900eb698382ddb9159b2a1cf5873bb6d6f99086b6ce88ff3bcb0aba383ce478346e1ed87429e0d9443a1eaf51cf37ad152ea
Homepage: https://cran.r-project.org/package=transforEmotion
Description: CRAN Package 'transforEmotion' (Sentiment Analysis for Text, Image and Video using TransformerModels)
 Implements sentiment analysis using huggingface <https://huggingface.co>
 transformer zero-shot classification model pipelines for text and image
 data. The default text pipeline is Cross-Encoder's DistilRoBERTa
 <https://huggingface.co/cross-encoder/nli-distilroberta-base> and default
 image/video pipeline is Open AI's CLIP
 <https://huggingface.co/openai/clip-vit-base-patch32>. All other zero-shot
 classification model pipelines can be implemented using their model name
 from <https://huggingface.co/models?pipeline_tag=zero-shot-classification>.

Package: r-cran-transform.hazards
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-timereg, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-transform.hazards_0.1.1-1.ca2004.1_all.deb
Size: 62844
MD5sum: fd4ff20d5564e6a078f2dcaca2dd3d16
SHA1: 62e2b1fa966eed9eee572e62d4f0076a2658b51e
SHA256: ee914f6007f8e4d0340e5fbc418a3a4bc1a7e0dde2785505668070ea4b6708c0
SHA512: c2d4ea8cdf7d14a01d6f4dfbbe489f8afd9a3814ffbd4b837f85304023c9b6dcb77d1d033814b611a889f8f94e3eafde1a552988585b7829a7f52d77777f9412
Homepage: https://cran.r-project.org/package=transform.hazards
Description: CRAN Package 'transform.hazards' (Transforms Cumulative Hazards to Parameter Specified by ODESystem)
 Targets parameters that solve Ordinary Differential Equations (ODEs) driven
 by a vector of cumulative hazard functions.  The package provides a method
 for estimating these parameters using an estimator defined by a
 corresponding Stochastic Differential Equation (SDE) system driven by
 cumulative hazard estimates. By providing cumulative hazard estimates as
 input, the package gives estimates of the parameter as output, along with
 pointwise (co)variances derived from an asymptotic expression. Examples of
 parameters that can be targeted in this way include the survival function,
 the restricted mean survival function, cumulative incidence functions, among
 others; see Ryalen, Stensrud, and Røysland (2018)
 <doi:10.1093/biomet/asy035>, and further applications in Stensrud, Røysland,
 and Ryalen (2019) <doi:10.1111/biom.13102> and Ryalen et al. (2021)
 <doi:10.1093/biostatistics/kxab009>.

Package: r-cran-transform
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-transform_1.0-1.ca2004.1_all.deb
Size: 102140
MD5sum: c7c8fd83c18198f6517b2e4d84366602
SHA1: 5f787ec370c38fda4e9c90f27f229500355b8636
SHA256: 8331e7997029c71ec179abed11d34aabd4c143fb66b2534566ab006c7f9aeed8
SHA512: f45adc05883b4ee9325fb2e4fbdc931440660d262ae48836ee8decefaf44fcfa26909732ff88bbb56f39d9d965f57b6024903748b76133bf4e22c0252e47fcb5
Homepage: https://cran.r-project.org/package=Transform
Description: CRAN Package 'Transform' (Statistical Transformations)
 Performs various statistical transformations; Box-Cox and Log (Box and Cox,
 1964) <doi:10.1111/j.2517-6161.1964.tb00553.x>, Glog (Durbin et al., 2002)
 <doi:10.1093/bioinformatics/18.suppl_1.S105>, Neglog (Whittaker et al.,
 2005) <doi:10.1111/j.1467-9876.2005.00520.x>, Reciprocal (Tukey, 1957), Log
 Shift (Feng et al., 2016) <doi:10.1002/sta4.104>, Bickel-Docksum (Bickel and
 Doksum, 1981) <doi:10.1080/01621459.1981.10477649>, Yeo-Johnson (Yeo and
 Johnson, 2000) <doi:10.1093/biomet/87.4.954>, Square Root (Medina et al.,
 2019), Manly (Manly, 1976) <doi:10.2307/2988129>, Modulus (John and Draper,
 1980) <doi:10.2307/2986305>, Dual (Yang, 2006)
 <doi:10.1016/j.econlet.2006.01.011>, Gpower (Kelmansky et al., 2013)
 <doi:10.1515/sagmb-2012-0030>. It also performs graphical approaches,
 assesses the success of the transformation via tests and plots.

Package: r-cran-transformer
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-attention
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-transformer_0.2.0-1.ca2004.1_all.deb
Size: 21324
MD5sum: 06d72186842350ee2fe5a58dc75b5c94
SHA1: e298d2db33466382d0a83e237fef93e141836762
SHA256: a4da45842d1657fc000a16ed2d7b9473c2237195568082a5b3c70fa329819f5b
SHA512: f421d4671f02b9970c44a2a58b950848c71f4fa65935d274846878882d41a450a274cc523267676d58e36130b1dedf93e6d45aa3e2df2aff6c72a7b427760bd2
Homepage: https://cran.r-project.org/package=transformer
Description: CRAN Package 'transformer' (Implementation of Transformer Deep Neural Network with Vignettes)
 Transformer is a Deep Neural Network Architecture based i.a. on the
 Attention mechanism (Vaswani et al. (2017) <doi:10.48550/arXiv.1706.03762>).

Package: r-cran-transformerforecasting
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-keras, r-cran-tensorflow, r-cran-magrittr, r-cran-reticulate
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-lubridate, r-cran-readr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-transformerforecasting_0.1.0-1.ca2004.1_all.deb
Size: 69760
MD5sum: 9913fd54f46acca9d05302628fd529d1
SHA1: 5435390bd77f2ac5c019023e776ff154010b8b02
SHA256: 8aa2276ad0b289d868b8585bfe091d16451fcbc03805893b81b357418a3fe197
SHA512: 06c1412d0065f2109c1100da0d87811fdd02b383f57b6fdff42ed38654b62f27cd8bf18da2d47189061735dc7cba935fbc4088d3bbd7c35852dfca25da553471
Homepage: https://cran.r-project.org/package=transformerForecasting
Description: CRAN Package 'transformerForecasting' (Transformer Deep Learning Model for Time Series Forecasting)
 Time series forecasting faces challenges due to the non-stationarity,
 nonlinearity, and chaotic nature of the data. Traditional deep learning
 models like Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM),
 and Gated Recurrent Unit (GRU) process data sequentially but are inefficient
 for long sequences. To overcome the limitations of these models, we proposed
 a transformer-based deep learning architecture utilizing an attention
 mechanism for parallel processing, enhancing prediction accuracy and
 efficiency. This paper presents user-friendly code for the implementation of
 the proposed transformer-based deep learning architecture utilizing an
 attention mechanism for parallel processing. References: Nayak et al. (2024)
 <doi:10.1007/s40808-023-01944-7> and Nayak et al. (2024)
 <doi:10.1016/j.simpa.2024.100716>.

Package: r-cran-transformmos
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-transformmos_0.1.0-1.ca2004.1_all.deb
Size: 15524
MD5sum: 8097358f1a9412e80187645461fc22c0
SHA1: 4ae505d04bd86d6acf3d1e8a52e0a05e567c552a
SHA256: 57c5d8e74ff15efb6d37f9c5b04144a46f14ec6dba3758fb46828b6f156478d9
SHA512: 6c8059a0ee03e5c439bcb8a4eb17b8aea02dbe850140bdd51d4086692f4c70e2f9c45fb8743babec24b46abda3f3db0ec51c5b591c27c2098a9a6aefbc8cd4c2
Homepage: https://cran.r-project.org/package=transformmos
Description: CRAN Package 'transformmos' (Transform MOS Values to be Robust for using Rank BasedStatistics)
 Implementation of the transformation of the Mean Opinion Scores (MOS) to be
 used before applying the rank based statistical techniques. The method and
 its necessity is described in: Babak Naderi, Sebastian Möller (2020)
 <arXiv:2004.11490>.

Package: r-cran-transgraph
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1210
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-rtensor, r-cran-tlasso, r-cran-glasso, r-cran-clime, r-cran-doparallel, r-cran-expm, r-cran-heteroggm, r-cran-dcov, r-cran-huge, r-cran-evaluationmeasures
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-transgraph_1.0.1-1.ca2004.1_all.deb
Size: 668492
MD5sum: 5f31e5009d6b488630f1a4a4d5b0ff26
SHA1: 31849bade4858d555ff8eea4860f3faa7b0b4c05
SHA256: 1c264429eea2b093a5995cf883fcc1c4ad9054a377dd02c5f2f9272002be13db
SHA512: 0b62e73725f8b0070eba35570708380423b082711348b01733f1b3a98d627c9e4a421135c396e1d1def836a0730507810c6ad6e0e236e031e6fd56d20f34312f
Homepage: https://cran.r-project.org/package=TransGraph
Description: CRAN Package 'TransGraph' (Transfer Graph Learning)
 Transfer learning, aiming to use auxiliary domains to help improve learning
 of the target domain of interest when multiple heterogeneous datasets are
 available, has always been a hot topic in statistical machine learning. The
 recent transfer learning methods with statistical guarantees mainly focus on
 the overall parameter transfer for supervised models in the ideal case with
 the informative auxiliary domains with overall similarity. In contrast,
 transfer learning for unsupervised graph learning is in its infancy and
 largely follows the idea of overall parameter transfer as for supervised
 learning.  In this package, the transfer learning for several complex
 graphical models is implemented, including Tensor Gaussian graphical models,
 non-Gaussian directed acyclic graph (DAG), and Gaussian graphical mixture
 models. Notably, this package promotes local transfer at node-level and
 subgroup-level in DAG structural learning and Gaussian graphical mixture
 models, respectively, which are more flexible and robust than the existing
 overall parameter transfer. As by-products, transfer learning for undirected
 graphical model (precision matrix) via D-trace loss, transfer learning for
 mean vector estimation, and single non-Gaussian learning via topological
 layer method are also included in this package.  Moreover, the aggregation
 of auxiliary information is an important issue in transfer learning, and
 this package provides multiple user-friendly aggregation methods, including
 sample weighting, similarity weighting, and most informative selection.
 Reference: Ren, M., Zhen Y., and Wang J. (2022) <arXiv:2211.09391> "Transfer
 learning for tensor graphical models".  Ren, M., He X., and Wang J. (2023)
 <arXiv:2310.10239> "Structural transfer learning of non-Gaussian DAG".
 Zhao, R., He X., and Wang J. (2022)
 <https://jmlr.org/papers/v23/21-1173.html> "Learning linear non-Gaussian
 directed acyclic graph with diverging number of nodes".

Package: r-cran-translate.logit
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-nleqslv, r-cran-nnet
Filename: pool/dists/focal/main/r-cran-translate.logit_1.0-1.ca2004.1_all.deb
Size: 32568
MD5sum: b659d9d455e86c15f294cf2c2a096871
SHA1: 4c852474a2f39ae39caa059cdd6b110fc8276e25
SHA256: f36f80bf5ee466be325658576f5a12eaa0614cb47b44999bae2a4d5888565251
SHA512: acf9488627052d64e6c4f06ac8963f8a5507331de331b97bf38bf161880329986340bdfa23ee34e2dea03d1ec33e0d2f5fb928006f84050e4121d1711c726d3d
Homepage: https://cran.r-project.org/package=translate.logit
Description: CRAN Package 'translate.logit' (Translation of Logit Regression Coefficients into Percentages)
 Translation of logit models coefficients into percentages, following
 Deauvieau (2010) <doi:10.1177/0759106309352586>.

Package: r-cran-translated
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glue, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-deepdep, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-translated_0.1.1-1.ca2004.1_all.deb
Size: 39364
MD5sum: 71e2d1370b8066a067c1323a4b05b475
SHA1: e84ccdfc36d0f706db448efd2a99437c70dfdb83
SHA256: 01ae803500b8058f799e420b4d51cebcf3d87f71383c8121621605c8ff476428
SHA512: db1f409d99aa216845febb94dfaf16d3a01972788021a74b405a9d5bffe328586560cf1813a078a6f88a179525332fb2a097735f35e91989c302de3af60ca4c9
Homepage: https://cran.r-project.org/package=translated
Description: CRAN Package 'translated' (Simple and Robust Translation System)
 Allows translating with formatted string literals, grouped entries, and
 configurable system of plurals. Have a separate file for each locale and use
 inheritance to handle dialect differences.

Package: r-cran-translater
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjsonio, r-cran-rcurl, r-cran-textcat, r-cran-httr
Filename: pool/dists/focal/main/r-cran-translater_1.0-1.ca2004.1_all.deb
Size: 31088
MD5sum: 14c9b9248e6064aeb57ec0dadbfc7362
SHA1: 3997b35a180ffec6d38ac969d62eb87b3acd84fa
SHA256: 5f8fb2a119b2cb97a5937ed63726affc35700f39daeeff1b4868d74856eaf220
SHA512: 31685b8a9b26738fb69d476f99535afb0eeddbc6c7b9a8da738d3114c484a26ad96f17f5a9d121215afbcaa9e5dc5fafff8f3edda99669463d64ebee01e3d5eb
Homepage: https://cran.r-project.org/package=translateR
Description: CRAN Package 'translateR' (Bindings for the Google and Microsoft Translation APIs)
 translateR provides easy access to the Google and Microsoft APIs. The
 package is easy to use with the related R package "stm" for the estimation
 of multilingual topic models.

Package: r-cran-translation.ko
Architecture: all
Version: 0.0.1.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2080
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-translation.ko_0.0.1.5.2-1.ca2004.1_all.deb
Size: 497148
MD5sum: 00e41d6c20ccba5a05cbb9a62b65b735
SHA1: c061fd1864187d02f12af23bd1c160cef8800570
SHA256: 9e7df20f9f7d54c808d1965c83120831ee81fd67c634c4a5bca0558b70603b73
SHA512: 2a23df1701658142635238f4c580aac2c682c7bb136430e36bae1c517d924fa3a2afedd3768adce2988a6625a2c07e4fd531033553ad5c5de46bb007c240fbfd
Homepage: https://cran.r-project.org/package=translation.ko
Description: CRAN Package 'translation.ko' (R Manuals Literally Translated in Korean)
 R version 2.1.0 and later support Korean translations of program messages.
 The continuous efforts have been made by
 <http://developer.r-project.org/TranslationTeams.html> The R Documentation
 files are licensed under the General Public License, version 2 or 3.  This
 means that the pilot project to translate them into Korean has permission to
 reproduce them and translate them.  This work is done with GNU 'gettext'
 utilities.  The portable object template is updated a weekly basis or
 whenever changes are necessary.  Comments and corrections via email to the
 maintainer is of course most welcome.  In order to voluntarily participate
 in or offer your help with this translation, please contact the maintainer.
 To check the change and progress of Korean translation, please visit
 <http://www.openstatistics.net>.

Package: r-cran-translit.uk
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-translit.uk_1.0.2-1.ca2004.1_all.deb
Size: 18000
MD5sum: 005aaddaaecc8600b4803a37ca51f16d
SHA1: 54467fffc2067929229ac034fdbff98ca0da7788
SHA256: c68ed19ba98916816c67b03138daaa7c5aef03ba347d35c6382d2944d17fa752
SHA512: c6f65ef03b573833fd30dd36d7eb6faf9577858a82f8779ceee93b091c2031dd7618008708b29c9aae4ed1bb25ef1d4bf5bf02f5e0dc08f8807b7df2c1249370
Homepage: https://cran.r-project.org/package=translit.uk
Description: CRAN Package 'translit.uk' (Ukrainian to Latin Transliteration)
 Provides a robust and user-friendly solution for transliterating Ukrainian
 strings into Latin symbols.

Package: r-cran-transltr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-r6, r-cran-stringi, r-cran-yaml
Suggests: r-cran-covr, r-cran-devtools, r-cran-lifecycle, r-cran-microbenchmark, r-cran-pkgdown, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-transltr_0.1.0-1.ca2004.1_all.deb
Size: 288772
MD5sum: 835c61d529a85085ab8fa1d4cb0ffce3
SHA1: 5a9e48070059b9320a9a866b2c9fcf849913d4b8
SHA256: 6ca1aa17eadc85eb4f2d517a2ba54ad3bdbf9b039a46fbf20ffc6e332f3f7867
SHA512: eaa677d982f3c01673130dd3f96a4db837f6e342501c1272be696039330a417c954b7b80450ec70368638e79606100c14e3a8419f3f527a56eaaf7f57c3ebfab
Homepage: https://cran.r-project.org/package=transltr
Description: CRAN Package 'transltr' (Support Many Languages in R)
 An object model for source text and translations. Find and extract
 translatable strings. Provide translations and seamlessly retrieve them at
 runtime.

Package: r-cran-transmem
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cmna, r-cran-ggformula, r-cran-ggplot2, r-cran-plot3d
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-transmem_0.1.1-1.ca2004.1_all.deb
Size: 120168
MD5sum: e3cd98780986083eef739bc84ff1e67a
SHA1: 720bb3a830a8f65125059c62b12979fa4af655d6
SHA256: 5ffbc6c10713e3c06905e379fe4f0baebcca01b98b575c82e9432abe49b507e3
SHA512: cc53c1d409dc5e8979cf297bbd169bfbdb6372c7c3ab04f64314970c29132aa64fc8f8c3e7822bc9e2f81ba65dda45715e97d2ad05789710eabe44897d4f15a4
Homepage: https://cran.r-project.org/package=transmem
Description: CRAN Package 'transmem' (Treatment of Membrane-Transport Data)
 Treatment and visualization of membrane (selective) transport data.
 Transport profiles involving up to three species are produced as
 publication-ready plots and several membrane performance parameters (e.g.
 separation factors as defined in Koros et al. (1996)
 <doi:10.1351/pac199668071479> and non-linear regression parameters for the
 equations described in Rodriguez de San Miguel et al. (2014)
 <doi:10.1016/j.jhazmat.2014.03.052>) can be obtained. Many widely used
 experimental setups (e.g. membrane physical aging) can be easily studied
 through the package's graphical representations.

Package: r-cran-transmodel
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-mass
Filename: pool/dists/focal/main/r-cran-transmodel_2.3-1.ca2004.1_all.deb
Size: 89032
MD5sum: 5682fc9258aa6d52926f62a2c2cb158a
SHA1: 8ae14292a22f25835c5de7e110b26708bcec9338
SHA256: c96d3df22136d1d6aff407118fa2f5ae99fe0360663b082d6cbc7e9799c89fd0
SHA512: 31ca717fa911e7eb7b66fcfb64f8ae62caba520d40111a0ac3119dcd35f154a817491eef78862c1e60dbacc74baffee91e23316468725735ed1b846f70b55cc9
Homepage: https://cran.r-project.org/package=TransModel
Description: CRAN Package 'TransModel' (Fit Linear Transformation Models for Right Censored Data)
 A unified estimation procedure for the analysis of right censored data using
 linear transformation models. An introduction can be found in Jie Zhou et
 al. (2022) <doi:10.18637/jss.v101.i09>.

Package: r-cran-transp
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-transp_0.1-1.ca2004.1_all.deb
Size: 17268
MD5sum: 49a4e601055d50f54f05460a8986ae37
SHA1: 24ece61e2c7a36a80c20eed9d90f8fc4332715e6
SHA256: 8a9284e1d48b4bb17d11d1777042c2333b02bfff55cf71e1a93de9d870791d26
SHA512: 293c2a4318ef1dae30beb32ba3c40f86118759818268e48bb4e2c337632c2243fb2086501c3c33cf49184cd6a688fa7f46c38443d10be77ff58f8bc9418c3779
Homepage: https://cran.r-project.org/package=TransP
Description: CRAN Package 'TransP' (Implementation of Transportation Problem Algorithms)
 Implementation of two transportation problem algorithms.  1. North West
 Corner Method 2. Minimum Cost Method or Least cost method.  For more
 technical details about the algorithms please refer below URLs.
 <http://www.universalteacherpublications.com/univ/ebooks/or/Ch5/nw.htm>.
 <http://personal.maths.surrey.ac.uk/st/J.F/chapter7.pdf>.

Package: r-cran-transplantr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-transplantr_0.2.0-1.ca2004.1_all.deb
Size: 201844
MD5sum: a87977d4e320681c31e1a0829ff9515c
SHA1: 3a101568eeefa119f1619ecc28f3d6e3283385b3
SHA256: d5861f29c0cbfd9f721ea2d0076df7541a231310c61bc1d0af2d31d763ef3fea
SHA512: 98cd1b965e8e9807afcc9266cf17c4092e7139a8b1df00508fef57f8b9664a0bdfc8453490713d6e31e137f9fa85be90207848535f9778ccb6fcbf10c0323cc1
Homepage: https://cran.r-project.org/package=transplantr
Description: CRAN Package 'transplantr' (Audit and Research Functions for Transplantation)
 A set of vectorised functions to calculate medical equations used in
 transplantation, focused mainly on transplantation of abdominal organs.
 These functions include donor and recipient risk indices as used by NHS
 Blood & Transplant, OPTN/UNOS and Eurotransplant, tools for quantifying HLA
 mismatches, functions for calculating estimated glomerular filtration rate
 (eGFR), a function to calculate the APRI (AST to platelet ratio) score used
 in initial screening of suitability to receive a transplant from a hepatitis
 C seropositive donor and some biochemical unit converter functions.  All
 functions are designed to work with either US or international units.
 References for the equations are provided in the vignettes and function
 documentation.

Package: r-cran-transplotr
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tidyverse, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-magrittr, r-cran-ggarchery, r-cran-geomtextpath
Filename: pool/dists/focal/main/r-cran-transplotr_0.0.2-1.ca2004.1_all.deb
Size: 54344
MD5sum: 9382af89bf37df14a05806b8687242bb
SHA1: 14e478737216693c37047d37249c3f36f5f61abb
SHA256: 1f749048702b41cfa1ec8f246131e216f7df52d2464c42ab77a900bfb505905f
SHA512: 515dd465b3c1aa44686250f66c9495ba161e292e1211e74e7659cc9e1b6071fd7163fc76529a5f862def862853928b56131a3a6ed9317ebd01b718288f95cb1d
Homepage: https://cran.r-project.org/package=transPlotR
Description: CRAN Package 'transPlotR' (Visualize Transcript Structures in Elegant Way)
 To visualize the gene structure with multiple isoforms better, I developed
 this package to draw different transcript structures easily.

Package: r-cran-transportr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 195
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-generics, r-cran-ife, r-cran-mlr3superlearner, r-cran-origami, r-cran-r6
Suggests: r-cran-ranger, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-transportr_0.1.0-1.ca2004.1_all.deb
Size: 163996
MD5sum: d17d7c23e299d154f2946e1150745965
SHA1: 37dad3365d683f88a9b913fd5d370d6a94185ce3
SHA256: 4013d41330963430f5ee87bac124d15de981d696b37a56a91385249dbf343b26
SHA512: e2fb9baccc355a1b622085d4dda981da9483c62154c0c703282e974b5029f0acdb01a07c3fdc0f7b554dadc36a9c952a69fddae263abb762409a52c8d91e1594
Homepage: https://cran.r-project.org/package=transportr
Description: CRAN Package 'transportr' (Transporting Intervention Effects from One Population to Another)
 Doubly-robust, non-parametric estimators for the transported average
 treatment effect from Rudolph, Williams, Stuart, and Diaz (2023)
 <doi:10.48550/arXiv.2304.00117> and the intent-to-treatment average
 treatment effect from Rudolph and van der Laan (2017)
 <doi:10.1111/rssb.12213>. Estimators are fit using cross-fitting and
 nuisance parameters are estimated using the Super Learner algorithm.

Package: r-cran-transpror
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1738
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang, r-cran-tibble, r-bioc-sva, r-bioc-deseq2, r-bioc-edger, r-bioc-limma, r-cran-ggplot2, r-cran-ggvenndiagram, r-cran-ggdensity, r-cran-ggpubr, r-bioc-ggtree, r-cran-hrbrthemes, r-cran-ggraph, r-cran-tidygraph, r-cran-tidyr, r-cran-stringr, r-cran-geomtextpath, r-cran-ggnewscale, r-cran-hmisc, r-cran-circlize, r-cran-spiralize, r-bioc-complexheatmap
Suggests: r-cran-prettydoc, r-cran-knitr, r-bioc-ggtreeextra, r-cran-rmarkdown, r-cran-systemfonts
Filename: pool/dists/focal/main/r-cran-transpror_1.0.5-1.ca2004.1_all.deb
Size: 1117744
MD5sum: d386f725f0c9d2aa44758ef99beb9198
SHA1: 8111e251cfdeec93901be770cf1b10e8d30b2e30
SHA256: 9d964cd1b90fde0d9f346b607d798fb100f0b035c1edc9207ce0225fb69d9723
SHA512: 429bf7fea80b0804c9003544ef331d4d981ca6935deb39f196cb79c9367352760884cb93f2913e4998f7fb62a1d1e09a4ebf87232cc92af6e2882958285768a1
Homepage: https://cran.r-project.org/package=TransProR
Description: CRAN Package 'TransProR' (Analysis and Visualization of Multi-Omics Data)
 A tool for comprehensive transcriptomic data analysis, with a focus on
 transcript-level data preprocessing, expression profiling, differential
 expression analysis, and functional enrichment. It enables researchers to
 identify key biological processes, disease biomarkers, and gene regulatory
 mechanisms. 'TransProR' is aimed at researchers and bioinformaticians
 working with RNA-Seq data, providing an intuitive framework for in-depth
 analysis and visualization of transcriptomic datasets. The package includes
 comprehensive documentation and usage examples to guide users through the
 entire analysis pipeline. The differential expression analysis methods
 incorporated in the package include 'limma' (Ritchie et al., 2015,
 <doi:10.1093/nar/gkv007>; Smyth, 2005, <doi:10.1007/0-387-29362-0_23>),
 'edgeR' (Robinson et al., 2010, <doi:10.1093/bioinformatics/btp616>),
 'DESeq2' (Love et al., 2014, <doi:10.1186/s13059-014-0550-8>), and Wilcoxon
 tests (Li et al., 2022, <doi:10.1186/s13059-022-02648-4>), providing
 flexible and robust approaches to RNA-Seq data analysis. For more
 information, refer to the package vignettes and related publications.

Package: r-cran-transreg
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-starnet, r-cran-joinet
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-markdown, r-cran-mvtnorm, r-cran-remotes, r-cran-glmtrans, r-cran-xrnet, r-cran-ecpc, r-cran-domc, r-cran-palasso, r-cran-xtable, r-cran-devtools, r-cran-cvxr
Filename: pool/dists/focal/main/r-cran-transreg_1.0.4-1.ca2004.1_all.deb
Size: 139588
MD5sum: d3c30347bfd20b04858896af49dcc93a
SHA1: c23e8ce92db0ede934be6c7c7cad878ccf639d27
SHA256: e47f7f9451b21212b8551d7d95e3bcfc23f33b0a030c39bbf101c596cbf41d13
SHA512: 121b8724aa8ec432f407a360875be0d17ecda229b3420a867fd04d65a18549547a223abedbb1fcbd6b06af5920a09a78106f65f1ea6354cd283c337f1e98eab3
Homepage: https://cran.r-project.org/package=transreg
Description: CRAN Package 'transreg' (Penalised Regression with Multiple Sets of Prior Effects('Transfer Learning'))
 Improves the predictive performance of ridge and lasso regression exploiting
 one or more sources of prior information on the importance and direction of
 effects (Rauschenberger and others 2023,
 <doi:10.1093/bioinformatics/btad680>). For running the vignette (optional),
 install 'fwelnet' from 'GitHub' <https://github.com/kjytay/fwelnet>.

Package: r-cran-transtggm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4180
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-rtensor, r-cran-tlasso, r-cran-glasso, r-cran-doparallel, r-cran-expm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-transtggm_1.0.0-1.ca2004.1_all.deb
Size: 4206148
MD5sum: 9c765600285f704e9582645b435d6ebd
SHA1: aa32161c7f53d4734e843c8acac2ea39bbe276a6
SHA256: 25602952fb53c6ca027fb6b3de24839cbe81e4e4844b6e9d3f473587e19089fb
SHA512: a17ea32e09d6c87f1e483f03b0cf5353233725fb7fc457d5ac0df266baa15be21737fb4d321d69cd859f625e3c06c64787e0d0f09e651f6b1a39ba531168c2d1
Homepage: https://cran.r-project.org/package=TransTGGM
Description: CRAN Package 'TransTGGM' (Transfer Learning for Tensor Graphical Models)
 Tensor Gaussian graphical models (GGMs) have important applications in
 numerous areas, which can interpret conditional independence structures
 within tensor data. Yet, the available tensor data in one single study is
 often limited due to high acquisition costs.  Although relevant studies can
 provide additional data, it remains an open question how to pool such
 heterogeneous data. This package implements a transfer learning framework
 for tensor GGMs, which takes full advantage of informative auxiliary domains
 even when non-informative auxiliary domains are present, benefiting from the
 carefully designed data-adaptive weights.  Reference: Ren, M., Zhen Y., and
 Wang J. (2022). "Transfer learning for tensor graphical models"
 <arXiv:2211.09391>.

Package: r-cran-transx
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlang
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-cli, r-cran-testthat, r-cran-knitr, r-cran-desctools, r-cran-outliers, r-cran-rmarkdown, r-cran-mfilter, r-cran-covr
Filename: pool/dists/focal/main/r-cran-transx_0.0.1-1.ca2004.1_all.deb
Size: 194368
MD5sum: 670dd93ba5285be0bb1a672a734e0aed
SHA1: 65f555e04625194e222ea61ee11d373536aa0da0
SHA256: 195124a17cb76162393c86ca0cf0d156cc2dc7f6f96d8b52abdb0c1b9cde9a86
SHA512: 6ab5a59b0117f9f01091071021f0e7b63472b2e1f464f502645dd925f3ec0c39555d92560c577424930b87d45fa744b36bd332fdd24e30dce03227387eb93a2d
Homepage: https://cran.r-project.org/package=transx
Description: CRAN Package 'transx' (Transform Univariate Time Series)
 Univariate time series operations that follow an opinionated design.  The
 main principle of 'transx' is to keep the number of observations the same.
 Operations that reduce this number have to fill the observations gap.

Package: r-cran-tratamentos.ad
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon
Filename: pool/dists/focal/main/r-cran-tratamentos.ad_0.2.4-1.ca2004.1_all.deb
Size: 254444
MD5sum: 963c92639ba12c2f97d9cfa06188927b
SHA1: e89646ec437942def464b76e7ce47250e80ec9e3
SHA256: e5a29c5e3b78e2f460a23d704d262764bec6eec16d653b160278a3364b610628
SHA512: 9785adcb043a49da4b695766ba9afb4be28dc9376fd62221302b1bbcca7f9b70763ce7d4b9475176755c104ec34ca1902ad93f3aaf694ac27436125eb6b08d22
Homepage: https://cran.r-project.org/package=Tratamentos.ad
Description: CRAN Package 'Tratamentos.ad' (Pacote Para Analise De Experimentos Com Testemunhas Adicionais)
 Pacote para a analise de experimentos com um ou dois fatores com testemunhas
 adicionais conduzidos no delineamento inteiramente casualizado ou em blocos
 casualizados.  "Package for the analysis of one or two-way experiments with
 additional controls conducted in a completely randomized design or in a
 randomized block design".

Package: r-cran-traudem
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 763
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-purrr, r-cran-rlang, r-cran-sys, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-terra, r-cran-shapefiles, r-cran-sf, r-cran-elevatr, r-cran-fs
Filename: pool/dists/focal/main/r-cran-traudem_1.0.3-1.ca2004.1_all.deb
Size: 589284
MD5sum: e4f75a8f46b6cb1baf831bec3a9cf27f
SHA1: 79d50987844809d5514621dd150cff8f28954d19
SHA256: 26c47d62fb2b533b6088a05336ec7ae111438bcbfda5b5e4f6611ac3fc5e848f
SHA512: 886048a2193230658809c1301d16d8952028704240a44fc9bad2cdfc8dadd29c9f531033d27f2b1d318765840099b0e13f0cc67af867c9fb04bb3630174ac952
Homepage: https://cran.r-project.org/package=traudem
Description: CRAN Package 'traudem' (Use TauDEM)
 Simple trustworthy utility functions to use TauDEM (Terrain Analysis Using
 Digital Elevation Models <https://hydrology.usu.edu/taudem/taudem5/>)
 command-line interface.  This package provides a guide to installation of
 TauDEM and its dependencies GDAL (Geopatial Data Abstraction Library) and
 MPI (Message Passing Interface) for different operating systems.  Moreover,
 it checks that TauDEM and its dependencies are correctly installed and
 included to the PATH, and it provides wrapper commands for calling TauDEM
 methods from R.

Package: r-cran-traumar
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1330
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-hms, r-cran-infer, r-cran-lifecycle, r-cran-lubridate, r-cran-nemsqar, r-cran-nortest, r-cran-patchwork, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-broom, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-traumar_1.2.1-1.ca2004.1_all.deb
Size: 1303604
MD5sum: 111a85d5eb84bef3fb37ef959f08942c
SHA1: a0dda6ce148c431a6db547697fd3d731aabaa9bc
SHA256: 009f4938af2b0d88393042f56a377f0a6b2b2f29121899948ef79541ff495105
SHA512: 790fc2b1880975a75bb22e2615b7a13fb4acecc8a493981c3c8f274b5b026d882f031ea800f0510710836fe1b087dcd6f4e34570526662a94b2d9ff38ac9dc8c
Homepage: https://cran.r-project.org/package=traumar
Description: CRAN Package 'traumar' (Calculate Metrics for Trauma System Performance)
 Hospitals, hospital systems, and even trauma systems that provide care to
 injured patients may not be aware of robust metrics that can help gauge the
 efficacy of their programs in saving the lives of injured patients.
 'traumar' provides robust functions driven by the academic literature to
 automate the calculation of relevant metrics to individuals desiring to
 measure the performance of their trauma center or even a trauma system.
 'traumar' also provides some helper functions for the data analysis journey.
 Users can refer to the following publications for descriptions of the
 methods used in 'traumar'.  TRISS methodology, including probability of
 survival, and the W, M, and Z Scores - Flora (1978)
 <doi:10.1097/00005373-197810000-00003>, Boyd et al. (1987, PMID:3106646),
 Llullaku et al. (2009) <doi:10.1186/1749-7922-4-2>, Singh et al. (2011)
 <doi:10.4103/0974-2700.86626>, Baker et al. (1974, PMID:4814394), and
 Champion et al. (1989) <doi:10.1097/00005373-198905000-00017>. For the
 Relative Mortality Metric, see Napoli et al. (2017)
 <doi:10.1080/24725579.2017.1325948>, Schroeder et al. (2019)
 <doi:10.1080/10903127.2018.1489021>, and Kassar et al. (2016)
 <doi:10.1177/00031348221093563>. For more information about methods to
 calculate over- and under-triage in trauma hospital populations and samples,
 please see the following publications - Peng & Xiang (2016)
 <doi:10.1016/j.ajem.2016.08.061>, Beam et al. (2022)
 <doi:10.23937/2474-3674/1510136>, Roden-Foreman et al. (2017)
 <doi:10.1097/JTN.0000000000000283>.

Package: r-cran-traveltimer
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-rprotobuf
Filename: pool/dists/focal/main/r-cran-traveltimer_1.2.1-1.ca2004.1_all.deb
Size: 69552
MD5sum: 107a92947935a5696335e70f0e43adfc
SHA1: ae79194a61ad26f1fe8d2260aef40aa5b5c06730
SHA256: 0965b386d4f1ebf659db54c7e36784520293e9beed55bff7d79f4ffbeab722df
SHA512: f2ebb3fa493642a7e7541dc1ced025a32f5b05aa9faf48638686be05bc02e0961203188420720766e4e2f7cb6011b694142a73e6827109772daebdf168576484
Homepage: https://cran.r-project.org/package=traveltimeR
Description: CRAN Package 'traveltimeR' (Interface to 'Travel Time' API)
 'Travel Time' API <https://docs.traveltime.com/api/overview/introduction>
 helps users find locations by journey time rather than using ‘as the crow
 flies’ distance.  Time-based searching gives users more opportunities for
 personalisation and delivers a more relevant search.

Package: r-cran-trawl
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-deoptim, r-cran-ggplot2, r-cran-ggpubr, r-cran-mass, r-cran-rootsolve, r-cran-runuran, r-cran-squash, r-cran-tsa
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trawl_0.2.2-1.ca2004.1_all.deb
Size: 170992
MD5sum: 3534f26b158a8cbffc398c3d29fa2467
SHA1: 2cb85f970dbd373922b1ae459552b018bf7acab1
SHA256: 563c2586bd3847549a1014080999fe38345aeb53afa234006fdf02fd6cee12f5
SHA512: a17cdeb6d1bdabe1504075320d58091923a766d1e81589b5a78db5ed15bcfd89f4289f87313f7e5106b7517ead38c4d2604777711cbcd5663c7b2e96697014c2
Homepage: https://cran.r-project.org/package=trawl
Description: CRAN Package 'trawl' (Estimation and Simulation of Trawl Processes)
 Contains R functions for simulating and estimating integer-valued trawl
 processes as described in the article Veraart (2019),"Modeling, simulation
 and inference for multivariate time series of counts using trawl processes",
 Journal of Multivariate Analysis, 169, pages 110-129,
 <doi:10.1016/j.jmva.2018.08.012> and for simulating random vectors from the
 bivariate negative binomial and the bi- and trivariate logarithmic series
 distributions.

Package: r-cran-trd
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rlab
Filename: pool/dists/focal/main/r-cran-trd_1.1-1.ca2004.1_all.deb
Size: 83460
MD5sum: a957b15c85f5a024296e826562d592b6
SHA1: ea0330a2dbcf805a8283f41f6af8a4b85193d57b
SHA256: 658f5bd702095ec4ef4477896cd4a7e383b7bde2959b25afc2c5d945352f5a0d
SHA512: 3b2bb52f86eb79c5f4dded28d479ec50fc46e7765de1243fd37a69edb5f1d159aa68d97389322bf142e293d8252716b9f7944038f5dfc97491c36a15b982f286
Homepage: https://cran.r-project.org/package=TRD
Description: CRAN Package 'TRD' (Transmission Ratio Distortion)
 Transmission Ratio Distortion (TRD) is a genetic phenomenon where the two
 alleles from either parent are not transmitted to the offspring at the
 expected 1:1 ratio under Mendelian inheritance, leading to spurious signals
 in genetic association studies. Functions in this package are developed to
 account for this phenomenon using loglinear model and Transmission
 Disequilibrium Test (TDT). Some population information can also be
 calculated.

Package: r-cran-trdist
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trdist_1.0.1-1.ca2004.1_all.deb
Size: 34032
MD5sum: acf0e6cefcddd2911ffa0f1f54a2b6e2
SHA1: 63505aca45b1d28c2b96a6241ef10dcc8765746f
SHA256: 3882e0beb80ecdaa944f93472f583cbc86cd395aa43624c4b9f036d65ee04842
SHA512: d6ea452b657324413c2836b22c90b2922dcbe6ceb1c95be57a1a025598e682b088c56d88a895f07ace00f4d3a88324b331fd77a0766a08b20920d5354ba7f4ac
Homepage: https://cran.r-project.org/package=trdist
Description: CRAN Package 'trdist' (Univariate Proability Distributions with Truncation)
 Truncation of univariate probability distributions. The probability
 distribution can come from other packages so long as the function names
 follow the standard d, p, q, r naming format. Also other univariate
 probability distributions are included.

Package: r-cran-treasury
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-readxl, r-cran-rlang, r-cran-tidyr, r-cran-xml2
Suggests: r-cran-ggplot2, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-treasury_0.2.0-1.ca2004.1_all.deb
Size: 194808
MD5sum: 118ba8159fada18ee209a430ada3b5d5
SHA1: 4f87caad641bb74b2b2325f8cce74e0fc5997886
SHA256: c7b87153ebdcf255e5ed64c3774ee7b98bac0a12e8ddd2f1c729b4550f2a470c
SHA512: d5d6d6df717fcc6b877669f4738a47668a1f94e45b9ed982fd5564c626f9fd97e7d30cf80cdd87a7e9e43a88859524de515188a87a287d1511a443b62e63a69a
Homepage: https://cran.r-project.org/package=treasury
Description: CRAN Package 'treasury' (Client for US Treasury XML Feed and Published Data)
 Download daily interest rates from the US Treasury XML feed.  Leveraging
 <https://home.treasury.gov/treasury-daily-interest-rate-xml-feed>, this
 package serves as a wrapper, facilitating the retrieval of daily treasury
 rates across various categories, including par yield curves, treasury bills,
 long-term rates, and real yield curves.

Package: r-cran-treasurytr
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-quantmod, r-cran-zoo, r-cran-dplyr, r-cran-xts, r-cran-lubridate
Suggests: r-cran-performanceanalytics, r-cran-tidyr, r-cran-ggplot2, r-cran-dataseries, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treasurytr_0.1.6-1.ca2004.1_all.deb
Size: 36488
MD5sum: 11ea39c4a38d6531b31de2834325b08f
SHA1: b00967e5c9945aa96c1188a643097a2ab8072e0b
SHA256: b5704bc631f60bd1d967fc1453c3f220ba4cc730b6654efccea30a089045a22a
SHA512: 56a1966aebe8fcdcf8e5b16e1d3ae89d158b6e6192010cf0782b19c8ce5446bb743d070207ec05f04747de4fdefe20fe17094f57bafbc0c8703fd483d09d27f3
Homepage: https://cran.r-project.org/package=treasuryTR
Description: CRAN Package 'treasuryTR' (Generate Treasury Total Returns from Yield Data)
 Generate Total Returns (TR) from bond yield data with fixed maturity, e.g.
 reported treasury yields. The generated TR series are very close to
 alternative series that can be purchased (e.g. CRSP, Bloomberg), suggesting
 they are a high-quality alternative for those, see Swinkels (2019)
 <doi:10.3390/data4030091>.

Package: r-cran-treatmentpatterns
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7030
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-stringr, r-cran-andromeda, r-cran-tidyr, r-cran-r6, r-cran-sunburstr, r-cran-networkd3, r-cran-htmlwidgets, r-cran-ggplot2, r-cran-dbplyr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat, r-cran-usethis, r-cran-eunomia, r-cran-cdmconnector, r-cran-databaseconnector, r-cran-sqlrender, r-cran-cohortgenerator, r-cran-resultmodelmanager, r-cran-webshot2, r-cran-circer, r-cran-duckdb, r-cran-dbi, r-cran-withr, r-cran-plotly, r-cran-pare
Filename: pool/dists/focal/main/r-cran-treatmentpatterns_3.1.0-1.ca2004.1_all.deb
Size: 1909036
MD5sum: fa485691ed2d77bc9d7fc98c37af8871
SHA1: 4d1ff05cf09f1a6d746cd6d64cac37489b55a8c6
SHA256: c8f630fbe1ab66120847613f2ec1b8ef0ed5b75aa933d4999ab33d414c8753e3
SHA512: 9a9592eb06fabdeec892786687c57fe0bf26b4d4f2b56c3ca3813fa6b40255c7caaf6d0a301b0f48f7d18acb21a870a00b4899bcbe99a78340cd57d6ff841fed
Homepage: https://cran.r-project.org/package=TreatmentPatterns
Description: CRAN Package 'TreatmentPatterns' (Analyzes Real-World Treatment Patterns of a Study Population ofInterest)
 Computes treatment patterns within a given cohort using the Observational
 Medical Outcomes Partnership (OMOP) common data model (CDM). As described in
 Markus, Verhamme, Kors, and Rijnbeek (2022)
 <doi:10.1016/j.cmpb.2022.107081>.

Package: r-cran-treatmentselection
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4504
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-survival, r-cran-binom
Filename: pool/dists/focal/main/r-cran-treatmentselection_2.1.1-1.ca2004.1_all.deb
Size: 2146796
MD5sum: d2fb5337ba05b6f207f950ec3fe9c981
SHA1: fef41848507323fd5b6a4a4a661ccae49dd08e65
SHA256: 6967481eb1e6b5a173593e7bc174923f2276d9be5fad4b8367b0c3776c3a16ba
SHA512: ff525d612c99e3270e7a84c4f2c558dd050aedb56004033da11502917f18dc27359637014f33636838394058aa9fbd39950fd101508a64b93c1f04a831edd781
Homepage: https://cran.r-project.org/package=TreatmentSelection
Description: CRAN Package 'TreatmentSelection' (Evaluate Treatment Selection Biomarkers)
 A suite of descriptive and inferential methods designed to evaluate one or
 more biomarkers for their ability to guide patient treatment
 recommendations.  Package includes functions to assess the calibration of
 risk models; and plot, evaluate, and compare markers. Please see the
 reference Janes H, Brown MD, Huang Y, et al. (2014)
 <doi:10.1515/ijb-2012-0052> for further details.

Package: r-cran-tredesigns
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-tredesigns_1.0.1-1.ca2004.1_all.deb
Size: 41872
MD5sum: c404b2bfa8ba2de6cf9e4eacb4e11d6e
SHA1: 3d91347d94dc4b60207324212c16e1a2a08e78ac
SHA256: ce4adae215e04e689f18123b767357cd894a5b065d041f9755bbd4a6665c5300
SHA512: 70c43bbf50d13a28c092eb27a1103ea1ff1e43fd67d77eb4df2c611e11874d5cbf6860f701b39244b02b1760fd24be4a37da89f695e1f9e192648eb53de29ed0
Homepage: https://cran.r-project.org/package=TREDesigns
Description: CRAN Package 'TREDesigns' (Ternary Residual Effect Designs)
 There are some experimental scenarios where each experimental unit receives
 a sequence of treatments across multiple periods, and treatment effects
 persist beyond the period of application. It focuses on the construction and
 calculation of the parametric value of the residual effect designs balanced
 for carryover effects, also referred to as crossover designs, change-over
 designs, or repeated measurements designs (Aggarwal and Jha,
 2010<doi:10.1080/15598608.2010.10412013>). The primary objective of the
 package is to generate a new class of Balanced Ternary Residual Effect
 Designs (BTREDs), balanced for carryover effects tailored explicitly for
 situations where the number of periods is less than or equal to the number
 of treatments. In addition, the package provides four new classes of
 Partially Balanced Ternary Residual Effect Designs (PBTREDs), constructed
 using incomplete block designs, initial sequences, and rectangular
 association scheme. In addition, one extra function is included to help
 study the parametric properties of a given residual effect design.

Package: r-cran-tree3d
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2323
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rayvertex
Filename: pool/dists/focal/main/r-cran-tree3d_0.1.2-1.ca2004.1_all.deb
Size: 369996
MD5sum: 0c524eacad069011c722ca592d1662d9
SHA1: 1a41bee4548213a5882cec8b67ba512b32978dd1
SHA256: 7f17c34b14099c44c41de04a153bc3a30a59d6b45d65311fb2b884e61640473a
SHA512: ee6a5b426123fa933ae49ca5696a82c2316656032913d95381729ba680189844c62146ac17cb20bd4d235e7f7b0e3c82ab4684d201b6f0a96885e2e022cb1262
Homepage: https://cran.r-project.org/package=tree3d
Description: CRAN Package 'tree3d' (3D Tree Models)
 Provides customizable 3D tree models (as 'OBJ' files) for use in data
 visualization. Includes both planar and solid tree models, various crown
 types (columnar, oval, palm, pyramidal, rounded, spreading, vase, weeping),
 and options to change the diameter, height, and color of the tree's crown
 and trunk.

Package: r-cran-treebalance
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-memoise, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-treebalance_1.2.0-1.ca2004.1_all.deb
Size: 277128
MD5sum: b604ea5b9d21c220c4e5a961ae8f879c
SHA1: 48b560f34d2fd2a2a0490d87d28b968a4e4811d3
SHA256: df7d8197be601389758a983ba0a6887d1d0abe357e3e4099eb3c80676a2354f9
SHA512: dc0528cad1e2dbc999b56c3e5d3990002964577a41adc57155263ef0ce9bfedb4b48f839a7879d07bde718e776baca0d11bf137aca94e06d7014948d6f835e3b
Homepage: https://cran.r-project.org/package=treebalance
Description: CRAN Package 'treebalance' (Computation of Tree (Im)Balance Indices)
 The aim of the 'R' package 'treebalance' is to provide functions for the
 computation of a large variety of (im)balance indices for rooted trees. The
 package accompanies the book ''Tree balance indices: a comprehensive
 survey'' by M. Fischer, L. Herbst, S. Kersting, L. Kuehn and K. Wicke (2023)
 <ISBN: 978-3-031-39799-8>, <doi:10.1007/978-3-031-39800-1>, which gives a
 precise definition for the terms 'balance index' and 'imbalance index'
 (Chapter 4) and provides an overview of the terminology in this manual
 (Chapter 2). For further information on (im)balance indices, see also
 Fischer et al. (2021) <https://treebalance.wordpress.com>.  Considering both
 established and new (im)balance indices, 'treebalance' provides (among
 others) functions for calculating the following 18 established indices and
 index families: the average leaf depth, the B1 and B2 index, the
 Colijn-Plazzotta rank, the normal, corrected, quadratic and equal weights
 Colless index, the family of Colless-like indices, the family of I-based
 indices, the Rogers J index, the Furnas rank, the rooted quartet index, the
 s-shape statistic, the Sackin index, the symmetry nodes index, the total
 cophenetic index and the variance of leaf depths. Additionally, we include 9
 tree shape statistics that satisfy the definition of an (im)balance index
 but have not been thoroughly analyzed in terms of tree balance in the
 literature yet. These are: the total internal path length, the total path
 length, the average vertex depth, the maximum width, the modified maximum
 difference in widths, the maximum depth, the maximum width over maximum
 depth, the stairs1 and the stairs2 index.  As input, most functions of
 'treebalance' require a rooted (phylogenetic) tree in 'phylo' format (as
 introduced in 'ape' 1.9 in November 2006). 'phylo' is used to store
 (phylogenetic) trees with no vertices of out-degree one. For further
 information on the format we kindly refer the reader to E. Paradis (2012)
 <http://ape-package.ird.fr/misc/FormatTreeR_24Oct2012.pdf>.

Package: r-cran-treebase
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4224
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-xml, r-cran-rcurl, r-cran-httr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treebase_0.1.5-1.ca2004.1_all.deb
Size: 4261468
MD5sum: 0617f122d59fcf1f394c8e092c78144c
SHA1: e9ddf30476b03163d159e9d180cb5811c38b920c
SHA256: 9ee9e6507e19aa9cbd5f07b342a8713e0a3e2faf57817de55931e0ab5bcd69fe
SHA512: 800e28e2eebbc75f0d4d52f64a739021da4e4eaed4e35bc55b3118d13a9bc0485de63ef2fe61d93e757bbf70b3b9e23ee06e094df256ec66ea9512c54e40c166
Homepage: https://cran.r-project.org/package=treebase
Description: CRAN Package 'treebase' (Discovery, Access and Manipulation of 'TreeBASE' Phylogenies)
 Interface to the API for 'TreeBASE' <http://treebase.org> from 'R.'
 'TreeBASE' is a repository of user-submitted phylogenetic trees (of species,
 population, or genes) and the data used to create them.

Package: r-cran-treeclust
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-treeclust_1.1-7-1.ca2004.1_all.deb
Size: 76292
MD5sum: c712b1e849dfee00e9538334d3ac52f2
SHA1: e5687c0f7e78a704ebfc702a512f308d1822c9e5
SHA256: 29b711e7d754a9c43e9507c7328851ddec03d75fc8b7b93fe0903240caddd71b
SHA512: 8c83a9569e49231a1bd45c768d15d9e976aa49cf99b991a95583f41c0778ba3b676f89723f668d8719ace12647f95f6e065d83db6012933dd2a2d7f502e83e70
Homepage: https://cran.r-project.org/package=treeClust
Description: CRAN Package 'treeClust' (Cluster Distances Through Trees)
 Create a measure of inter-point dissimilarity useful for clustering mixed
 data, and, optionally, perform the clustering.

Package: r-cran-treecm
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 716
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-treecm_1.2.2-1.ca2004.1_all.deb
Size: 604492
MD5sum: 6cfddc2fe9b88ca91120b5e78e1c7258
SHA1: cb85edaeebd05f3ad245e6e71eb4adfee9996ab9
SHA256: 8f9667dd7e3c2663588a0c58160a876fdb05ae2bc6c195918f4e9163438408ea
SHA512: 7cdbd693a5a2161adef3ddb9c8bf8a96f52fd978634de57cd2be75144de0f45dab39629dc0af01727e9dcdd7a8ea63cb5df81665deccf8050d9aa67377bb222f
Homepage: https://cran.r-project.org/package=treecm
Description: CRAN Package 'treecm' (Centre of Mass Assessment and Consolidation of Trees)
 The centre of mass is a crucial data for arborists in order to consolidate a
 tree using steel or dynamic cables. Given field-recorded data on branchiness
 of a tree, the package: (i) computes and plots the centre of mass of the
 tree itself, (ii) computes branches slenderness coefficient in order to aid
 the arborist identify potentially dangerous branches, and (iii) computes the
 force acting on a ground plinth and its best position relating to the tree
 centre of mass, should the tree need to be stabilized by a steel cable.

Package: r-cran-treeda
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1487
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparselda, r-cran-matrix, r-cran-mvtnorm, r-cran-reshape2, r-cran-gtable, r-bioc-phyloseq, r-cran-ggplot2, r-cran-ape
Suggests: r-cran-adaptivegpca, r-cran-knitr, r-cran-testthat, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treeda_0.0.5-1.ca2004.1_all.deb
Size: 589048
MD5sum: bd9decaef8a97f2997ecc04e1999292e
SHA1: 8231cdb4aeef324ef7592fef3518731faad7d59b
SHA256: 0980bbc98abd2a79131f51dc3671b008159cb6ac2f7a8c8031bc14e92ae8798d
SHA512: c4f0673cb90b52ac8e60c5e4e8e0d14b607a08da4b60a63c17851e35aa632fce98c4a6314e31c6c476545466c34746819eb6e49ee9882c71f6c7de189fcb5b25
Homepage: https://cran.r-project.org/package=treeDA
Description: CRAN Package 'treeDA' (Tree-Based Discriminant Analysis)
 Performs sparse discriminant analysis on a combination of node and leaf
 predictors when the predictor variables are structured according to a tree,
 as described in Fukuyama et al. (2017) <doi:10.1371/journal.pcbi.1005706>.

Package: r-cran-treedata.table
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2334
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lazyeval, r-cran-ape, r-cran-geiger, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-treedata.table_0.1.0-1.ca2004.1_all.deb
Size: 1630984
MD5sum: fadeba78a3b7b8116115dd44ea134a71
SHA1: a9f08b2698c3d29b93513ff011991a69172a479e
SHA256: 4eed9c819f5027ba186d2f026b9a431eb1f49a8b569d5c77808f7221541fa857
SHA512: a655c6471d90d4e1f7afdb161a15a7476ddad278fe8793f93a21922b01679d4127115f4d9e5248a371fa3212f89ee05eb851f3ce406faac6c6068e04479840a8
Homepage: https://cran.r-project.org/package=treedata.table
Description: CRAN Package 'treedata.table' (Manipulation of Matched Phylogenies and Data using 'data.table')
 An implementation that combines trait data and a phylogenetic tree (or
 trees) into a single object of class treedata.table. The resulting object
 can be easily manipulated to simultaneously change the trait- and tree-level
 sampling.  Currently implemented functions allow users to use a 'data.table'
 syntax when performing operations on the trait dataset within the
 treedata.table object.

Package: r-cran-treedater
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 361
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-limsolve
Suggests: r-cran-lubridate, r-cran-ggplot2, r-cran-foreach, r-cran-iterators, r-cran-mgcv, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treedater_0.5.0-1.ca2004.1_all.deb
Size: 220464
MD5sum: 0902a17d6dd9da7226629ceac809fa2f
SHA1: a15bc0706a52da29db9b55d1be2965fde7ea2b34
SHA256: da41ff9d7c7769fc778454b4f68566fa31d31fc1aa290a11c695d6080d0b1c1f
SHA512: 36ce10c6c0f672d37ab0aeee26d0f52f9b0771049e5f025aabe7b4efb4abf7f7f7970bba988df48c14e577033362cd2b1c4d668953c0b6ecd29f0110e2255e5d
Homepage: https://cran.r-project.org/package=treedater
Description: CRAN Package 'treedater' (Fast Molecular Clock Dating of Phylogenetic Trees with RateVariation)
 Functions for estimating times of common ancestry and molecular clock rates
 of evolution using a variety of evolutionary models, parametric and
 nonparametric bootstrap confidence intervals, methods for detecting outlier
 lineages, root-to-tip regression, and a statistical test for selecting
 molecular clock models. The methods are described in Volz, E.M. and S.D.W.
 Frost (2017) <doi:10.1093/ve/vex025>.

Package: r-cran-treedbalance
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-treedbalance_1.0.1-1.ca2004.1_all.deb
Size: 176812
MD5sum: f1fdc1551126f92f83c261bb5a6f3cf9
SHA1: d3030286a9f29c3eef824e6c90273f891a8f480f
SHA256: 93af6b4ff7ca0917e4874ff640ea7332a85cfdf90ed7257b44f990eeefedadbf
SHA512: f2dacc01fec3fe953022186a38fa81a38889bac56d7a8c4317460b0e678de3f3abfe51efb0288d3aaca256e094569e70fe8a518190c9e9c015d7257acc09cca3
Homepage: https://cran.r-project.org/package=treeDbalance
Description: CRAN Package 'treeDbalance' (Computation of 3D Tree Imbalance)
 The main goal of the R package 'treeDbalance' is to provide functions for
 the computation of several measurements of 3D node imbalance and their
 respective 3D tree imbalance indices, as well as to introduce the new
 'phylo3D' format for rooted 3D tree objects.  Moreover, it encompasses an
 example dataset of 3D models of 63 beans in 'phylo3D' format. Please note
 that this R package was developed alongside the project described in the
 manuscript 'Measuring 3D tree imbalance of plant models using
 graph-theoretical approaches' by M. Fischer, S. Kersting, and L. Kühn (2023)
 <arXiv:2307.14537>, which provides precise mathematical definitions of the
 measurements.  Furthermore, the package contains several helpful functions,
 for example, some auxiliary functions for computing the ancestors,
 descendants, and depths of the nodes, which ensures that the computations
 can be done in linear time.  Most functions of 'treeDbalance' require as
 input a rooted tree in the 'phylo3D' format, an extended 'phylo' format (as
 introduced in the R package 'ape' 1.9 in November 2006). Such a 'phylo3D'
 object must have at least two new attributes next to those required by the
 'phylo' format: 'node.coord', the coordinates of the nodes, as well as
 'edge.weight', the literal weight or volume of the edges.  Optional
 attributes are 'edge.diam', the diameter of the edges, and 'edge.length',
 the length of the edges. For visualization purposes one can also specify
 'edge.type', which ranges from normal cylinder to bud to leaf, as well as
 'edge.color' to change the color of the edge depiction.  This project was
 supported by the joint research project DIG-IT!  funded by the European
 Social Fund (ESF), reference: ESF/14-BM-A55-0017/19, and the Ministry of
 Education, Science and Culture of Mecklenburg-Western Pomerania, Germany, as
 well as by the the project ArtIGROW, which is a part of the WIR!-Alliance
 'ArtIFARM – Artificial Intelligence in Farming' funded by the German Federal
 Ministry of Education and Research (FKZ: 03WIR4805).

Package: r-cran-treedep
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 384
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-treedep_0.1.3-1.ca2004.1_all.deb
Size: 282276
MD5sum: f5332c769c9066e0836c0f19bb4ce025
SHA1: 8a46f507658a33eb582b21d66ea7e4f12bd27b91
SHA256: 19086ee0f64616828314ed54ebfcfeb366bc8896428dff7d7fd2adc16e1db545
SHA512: 042644586a8be97e60d44d8b8e5a1aad77168e79f9c29baae0661abac12cb399ab1541fc1414ac66545ad8ba09ac2f48c2f8bae16956e5cc7b31bef2ae0477fa
Homepage: https://cran.r-project.org/package=TreeDep
Description: CRAN Package 'TreeDep' (Air Pollution Removal by Dry Deposition on Trees)
 The model estimates air pollution removal by dry deposition on trees. It
 also estimates or uses hourly values for aerodynamic resistance, boundary
 layer resistance, canopy resistance, stomatal resistance, cuticular
 resistance, mesophyll resistance, soil resistance, friction velocity and
 deposition velocity. It also allows plotting graphical results for a
 specific time period. The pollutants are nitrogen dioxide, ozone, sulphur
 dioxide, carbon monoxide and particulate matter. Baldocchi D (1994)
 <doi:10.1093/treephys/14.7-8-9.1069>. Farquhar GD, von Caemmerer S, Berry JA
 (1980) Planta 149: 78-90. Hirabayashi S, Kroll CN, Nowak DJ (2015) i-Tree
 Eco Dry Deposition Model. Nowak DJ, Crane DE, Stevens JC (2006)
 <doi:10.1016/j.ufug.2006.01.007>. US EPA (1999) PCRAMMET User's Guide.
 EPA-454/B-96-001. Weiss A, Norman JM (1985) Agricultural and Forest
 Meteorology 34: 205—213.

Package: r-cran-treediagram
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-ape, r-cran-cowplot, r-cran-tree, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-treediagram_0.1.1-1.ca2004.1_all.deb
Size: 51544
MD5sum: 33e974cb50f337e15af04902385699b5
SHA1: 9b7584c4263f00e9aafe533f9d8bf327a7bdeac4
SHA256: ad1446021c64a28d7ee010d953d798b1061258f5da485b77b101c961d97ffc87
SHA512: d9c41c6ee5b1c50646da518b4954384f266f136e4a23dfb7214322838e2ab803b6661b440920ca79acc83528a8c6bc9b74fc2ba2aa8060dca6c15fd7baa99c6f
Homepage: https://cran.r-project.org/package=TreeDiagram
Description: CRAN Package 'TreeDiagram' (Tree Diagram)
 Visualizing cuts for either axis-align or non axis-align tree methods (e.g.
 decision tree, random tessellation process).

Package: r-cran-treediff
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-adjclust, r-bioc-biocgenerics, r-bioc-csaw, r-cran-data.table, r-cran-dplyr, r-bioc-interactionset, r-bioc-limma, r-bioc-summarizedexperiment, r-cran-reshape2, r-cran-testthat, r-cran-rlang, r-bioc-hicdoc, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treediff_0.2.1-1.ca2004.1_all.deb
Size: 81664
MD5sum: 6af6112397fe3ecbcca93c6cca55a338
SHA1: 1bc1473fec824d03336b8d78125d55b7564ccad8
SHA256: 277c1dc35c7ff27ad75bc6e1da533e3aafac258808e29998034a7c09a57844c3
SHA512: 032d73bdebbcf71067e5975d04c098238b7a629498312c5880daf519ae9e5dddc6e277a97c296da644202303b698d91f9101e6884b281c2344b7dc50ca043b2a
Homepage: https://cran.r-project.org/package=treediff
Description: CRAN Package 'treediff' (Testing Differences Between Families of Trees)
 Perform test to detect differences in structure between families of trees.
 The method is based on cophenetic distances and aggregated Student's tests.

Package: r-cran-treefit
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 288
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-igraph, r-cran-patchwork, r-cran-pracma
Suggests: r-cran-seurat, r-cran-gridextra, r-cran-knitr, r-cran-plotly, r-cran-qpdf, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-treefit_1.0.3-1.ca2004.1_all.deb
Size: 158660
MD5sum: 9d39e9f86093bd2787a543ebcce06c8a
SHA1: c76386529ddd91168d35ca5eb69a0e06d83a2562
SHA256: e0019cb2ee40543fd8d160368288c1b5e26168b190d6b9eb3acdc6b1cd693e01
SHA512: 0fb88f9a4e3e581c02fd7832d52f33493bcb17d43e889ab2b28ced1789e9a7c43439bd83eabae299297a4ed341eed1df82c6e8d4d77fa565bcfd930f61d45c22
Homepage: https://cran.r-project.org/package=treefit
Description: CRAN Package 'treefit' (The First Software for Quantitative Trajectory Inference)
 Perform two types of analysis: 1) checking the goodness-of-fit of tree
 models to your single-cell gene expression data; and 2) deciding which tree
 best fits your data.

Package: r-cran-treeheatr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1925
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggparty, r-cran-ggplot2, r-cran-partykit, r-cran-dplyr, r-cran-ggnewscale, r-cran-gtable, r-cran-tidyr, r-cran-cluster, r-cran-yardstick, r-cran-seriation
Suggests: r-cran-forcats, r-cran-knitr, r-cran-rmarkdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-treeheatr_0.2.1-1.ca2004.1_all.deb
Size: 1347808
MD5sum: 829a2592801df1cdbfb434ee5ef140b9
SHA1: 4c868b785a4116acd117adbd4e1bb7da95c989bf
SHA256: 1e0d7341dec1e7a46c3452a3b890da2ad6a3700ab848d6eb64e97fe0bb582af7
SHA512: 2babff37bf1f57d3be605eea0d5584b6eb981e0705cff2fb2cfbce12a8bee78920eac6a0c8499ae3962d8ec9a5b0b15b8bbfc46889d032d449e6380a4adcbf13
Homepage: https://cran.r-project.org/package=treeheatr
Description: CRAN Package 'treeheatr' (Heatmap-Integrated Decision Tree Visualizations)
 Creates interpretable decision tree visualizations with the data represented
 as a heatmap at the tree's leaf nodes.  'treeheatr' utilizes the
 customizable 'ggparty' package for drawing decision trees.

Package: r-cran-treelet
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-treelet_1.1-1.ca2004.1_all.deb
Size: 48528
MD5sum: 22bf2cfc5e37e58c5b16d7b900c33829
SHA1: 60edb66450d247551d7f7ba8c2c72cbf5b0ceb53
SHA256: 09bd37512956a79cd0417bedf385ec2406e70677bdd2395e32193da97c571232
SHA512: 095526b19813f8e289da12b07d81f11455acbc3b0d1771bf4ba0a47802d07c6b04cb08da8cc13d51ece6746f4f0cc7b664fe3a1b311df6a0b68dd9a8bb43ce08
Homepage: https://cran.r-project.org/package=treelet
Description: CRAN Package 'treelet' (An Adaptive Multi-Scale Basis for High-Dimensional, Sparse andUnordered Data)
 Treelets provides a novel construction of multi-scale bases that extends
 wavelets to non-smooth signals. It returns a multi-scale orthonormal basis,
 where the final computed basis functions are supported on nested clusters in
 a hierarchical tree.  Both the tree and the basis, which are constructed
 simultaneously, reflect the internal structure of the data.

Package: r-cran-treemap
Architecture: all
Version: 2.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-colorspace, r-cran-data.table, r-cran-ggplot2, r-cran-gridbase, r-cran-igraph, r-cran-rcolorbrewer, r-cran-shiny
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-treemap_2.4-4-1.ca2004.1_all.deb
Size: 322932
MD5sum: 1943326813d759782ac3dae52a1bab84
SHA1: eb2a19d65ae80294d7c66b9329a2ee21bb0f4284
SHA256: 8a1d71559023faf468914bc5db10c3dccc041d3669f6b6a456e34d9fbe739b70
SHA512: f93e0d9dfee78611d7f679e1bf5a9da22c9045ad9b795956e42c90651ab93c417d5a023f3e9fa721f000415d03198437d4b4aa7a7508476cec1e2e749d6b1eb6
Homepage: https://cran.r-project.org/package=treemap
Description: CRAN Package 'treemap' (Treemap Visualization)
 A treemap is a space-filling visualization of hierarchical structures. This
 package offers great flexibility to draw treemaps.

Package: r-cran-treemapify
Architecture: all
Version: 2.5.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 663
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggfittext, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-treemapify_2.5.6-1.ca2004.1_all.deb
Size: 544448
MD5sum: 4e79ca7eb5160c33a5618a27189cd2a2
SHA1: 9a7889bafc68f558139b30347681885219b66bb9
SHA256: 3e108f1dcb36d681786518307d47cd7d0bfe1784505b0a8399da838c75abc6de
SHA512: 6d54ef10d0bc5c3b002898fd76d075d33d733f3387a5f2eba13274d23f06bfcb050c557beb7096d3bc653c8769077d758bc916dd2cde571d833ba93cb45fe5af
Homepage: https://cran.r-project.org/package=treemapify
Description: CRAN Package 'treemapify' (Draw Treemaps in 'ggplot2')
 Provides 'ggplot2' geoms for drawing treemaps.

Package: r-cran-treeminer
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-future, r-cran-future.apply, r-cran-cli
Suggests: r-cran-testthat, r-cran-tidyr, r-cran-comorbidity, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treeminer_1.0.3-1.ca2004.1_all.deb
Size: 731800
MD5sum: e452c8d629c8e533ff8b1c5ecf4d5463
SHA1: a3cf56d4ae16eb2576e6531a39b00a019ce95b9e
SHA256: 704238ad8cc1c4e37458e861f5bb2ce12397e93c90dd1f74b25749d1f52422fc
SHA512: 47a324fc66ee908fc06d175346c2e62a8ec2e108aeb7be24d4e053ae9ab231df59725392dd7be55df52d9fdabb1bf5f66eae076c601ae0f62e1e7eaf1e13258b
Homepage: https://cran.r-project.org/package=TreeMineR
Description: CRAN Package 'TreeMineR' (Tree-Based Scan Statistics)
 Implementation of unconditional Bernoulli Scan Statistic developed by
 Kulldorff et al. (2003) <doi:10.1111/1541-0420.00039> for hierarchical tree
 structures. Tree-based Scan Statistics are an exploratory method to identify
 event clusters across the space of a hierarchical tree.

Package: r-cran-treepar
Architecture: all
Version: 3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-matrix, r-cran-subplex, r-cran-treesim, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-treepar_3.3-1.ca2004.1_all.deb
Size: 181084
MD5sum: e85d5cbddc834312f7fed463fd65ea02
SHA1: 247e7fadc44ab09ebf6ee60368b07f7c3af11b2d
SHA256: 673f3dd9387f7b0c42628487a8bb9177d00865fcf71c1a868ffc7e25d9a9f6c1
SHA512: 7cfe0f28bd1034d7ac481504aa18673e31e5474e55080369ea929d1d13c1e918f8d51899f88888f0094049840b6aac109e28bcd92ebea4bd33f6d1668d92efff
Homepage: https://cran.r-project.org/package=TreePar
Description: CRAN Package 'TreePar' (Estimating birth and death rates based on phylogenies)
 (i) For a given species phylogeny on present day data which is calibrated to
 calendar-time, a method for estimating maximum likelihood speciation and
 extinction processes is provided. The method allows for non-constant rates.
 Rates may change (1) as a function of time, i.e. rate shifts at specified
 times or mass extinction events (likelihood implemented as LikShifts,
 optimization as bd.shifts.optim and visualized as bd.shifts.plot) or (2) as
 a function of the number of species, i.e. density-dependence (likelihood
 implemented as LikDD and optimization as bd.densdep.optim) or (3) extinction
 rate may be a function of species age (likelihood implemented as LikAge and
 optimization as bd.age.optim.matlab). Note that the methods take into
 account the whole phylogeny, in particular it accounts for the "pull of the
 present" effect. (1-3) can take into account incomplete species sampling, as
 long as each species has the same probability of being sampled. For a given
 phylogeny on higher taxa (i.e. all but one species per taxa are missing),
 where the number of species is known within each higher taxa, speciation and
 extinction rates can be estimated under model (1) (implemented within
 LikShifts and bd.shifts.optim with groups !=0). (ii) For a given phylogeny
 with sequentially sampled tips, e.g. a virus phylogeny, rates can be
 estimated under a model where rates vary across time using bdsky.stt.optim
 based on likelihood LikShiftsSTT (extending LikShifts and bd.shifts.optim).
 Furthermore, rates may vary as a function of host types using LikTypesSTT
 (multitype branching process extending functions in R package diversitree).
 This function can furthermore calculate the likelihood under an
 epidemiological model where infected individuals are first exposed and then
 infectious.

Package: r-cran-treeplotarea
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1186
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fritools, r-cran-sf
Suggests: r-cran-checkmate, r-cran-pkgload, r-cran-plotrix, r-cran-rmarkdown, r-cran-rprojroot, r-cran-runit, r-cran-testthat, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-treeplotarea_2.1.0-1.ca2004.1_all.deb
Size: 1062528
MD5sum: d895997e11fa09dce920805f0fb595a5
SHA1: 4f137034863fb0f7ce3aa3a55bc03863d3567bc0
SHA256: 16c7a1ee5784d7ca4167e060dbf2bca069d2905d19669d3704a569652956a94c
SHA512: 7c34e64a27f0a4948f5122de157fe54c7f124eebfad433384dc4609ca1923de766efb374efe5771426cc5d1158035d25a58b874c9a98463a193c0956daf52a1d
Homepage: https://cran.r-project.org/package=treePlotArea
Description: CRAN Package 'treePlotArea' (Correction Factors for Tree Plot Areas Intersected by StandBoundaries)
 The German national forest inventory uses angle count sampling, a sampling
 method first published as `Bitterlich, W.: Die Winkelzählmessung.
 Allgemeine Forst- und Holzwirtschaftliche Zeitung, 58. Jahrg., Folge 11/12
 vom Juni 1947` and extended by Grosenbaugh
 (<https://academic.oup.com/jof/article-abstract/50/1/32/4684174>) as
 probability proportional to size sampling.  When plots are located near
 stand boundaries, their sizes and hence their probabilities need to be
 corrected.

Package: r-cran-treeringshape
Architecture: all
Version: 3.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-sf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-treeringshape_3.0.5-1.ca2004.1_all.deb
Size: 857864
MD5sum: 8db71a948500eb05c367fe6e767bd082
SHA1: 14fba12f92ff27bdda74e82b6d3699c72752a8df
SHA256: 26ff58aa3e81217390a559d46a8f976fa18c27c3fecda1420089511570079820
SHA512: 2a80b00150a802a255fe1d1dca902e35869d73fe27a93202768be3816ecb3fccedc914598fd504759ff89b4d36633156eb9799d407709117b0b7234db2a21354
Homepage: https://cran.r-project.org/package=TreeRingShape
Description: CRAN Package 'TreeRingShape' (Recording Tree-Ring Shapes of Tree Disks with Manual Digitizingand Interpolating Model)
 Record all tree-ring Shapefile of tree disk with GIS soft 'Qgis' and
 interpolating model from high resolution tree disk image.

Package: r-cran-treesim
Architecture: all
Version: 2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-geiger
Filename: pool/dists/focal/main/r-cran-treesim_2.4-1.ca2004.1_all.deb
Size: 173572
MD5sum: de4af2dfa70e7f291da7dc7749024059
SHA1: 8a08a59ca824a175fcda96bf685b10ef6e5bff97
SHA256: f73117323dedd607de942adb52f0e5cfd0d7d945305cd85e13c5d831b105c755
SHA512: 99e606fe3770ee484c464f3e05d41ffcdfa47cfb120fc1e41361ef67a618512e71dcfcc51f60450886a1330b72d7a245b2e5c447bcb70d65a159fb254a9a44e9
Homepage: https://cran.r-project.org/package=TreeSim
Description: CRAN Package 'TreeSim' (Simulating Phylogenetic Trees)
 Simulation methods for phylogenetic trees where (i) all tips are sampled at
 one time point or (ii) tips are sampled sequentially through time. (i) For
 sampling at one time point, simulations are performed under a constant rate
 birth-death process, conditioned on having a fixed number of final tips
 (sim.bd.taxa()), or a fixed age (sim.bd.age()), or a fixed age and number of
 tips (sim.bd.taxa.age()). When conditioning on the number of final tips, the
 method allows for shifts in rates and mass extinction events during the
 birth-death process (sim.rateshift.taxa()). The function sim.bd.age() (and
 sim.rateshift.taxa() without extinction) allow the speciation rate to change
 in a density-dependent way. The LTT plots of the simulations can be
 displayed using LTT.plot(), LTT.plot.gen() and LTT.average.root(). TreeSim
 further samples trees with n final tips from a set of trees generated by the
 common sampling algorithm stopping when a fixed number m>>n of tips is first
 reached (sim.gsa.taxa()). This latter method is appropriate for m-tip trees
 generated under a big class of models (details in the sim.gsa.taxa() man
 page). For incomplete phylogeny, the missing speciation events can be added
 through simulations (corsim()). (ii) sim.rateshifts.taxa() is generalized to
 sim.bdsky.stt() for serially sampled trees, where the trees are conditioned
 on either the number of sampled tips or the age. Furthermore, for a
 multitype-branching process with sequential sampling, trees on a fixed
 number of tips can be simulated using sim.bdtypes.stt.taxa(). This function
 further allows to simulate under epidemiological models with an exposed
 class. The function sim.genespeciestree() simulates coalescent gene trees
 within birth-death species trees, and sim.genetree() simulates coalescent
 gene trees.

Package: r-cran-treesimgm
Architecture: all
Version: 2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 257
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-treesim, r-cran-ape
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treesimgm_2.5-1.ca2004.1_all.deb
Size: 154700
MD5sum: af54744ba37ec0a04568b237ae463d9e
SHA1: ad1110bc61b0337ecf4eed5cec7afe7b318ee038
SHA256: c054b5cf756b72a2c50166e42a18f7af961d94d242f4339f3871eecec1139e6c
SHA512: ad35af17676b537ca3cb250a5a8b7e11a3af6cb413d37acc005dd92ff387a2179e51bf20475ec37e41830b83a3c0b7fbd98e4ecc69ff507286d20138cb222de7
Homepage: https://cran.r-project.org/package=TreeSimGM
Description: CRAN Package 'TreeSimGM' (Simulating Phylogenetic Trees under General Bellman Harris andLineage Shift Model)
 Provides a flexible simulation tool for phylogenetic trees under a general
 model for speciation and extinction. Trees with a user-specified number of
 extant tips, or a user-specified stem age are simulated. It is possible to
 assume any probability distribution for the waiting time until speciation
 and extinction. Furthermore, the waiting times to speciation / extinction
 may be scaled in different parts of the tree, meaning we can simulate trees
 with clade-dependent diversification processes. At a speciation event, one
 species splits into two. We allow for two different modes at these splits:
 (i) symmetric, where for every speciation event new waiting times until
 speciation and extinction are drawn for both daughter lineages; and (ii)
 asymmetric, where a speciation event results in one species with new waiting
 times, and another that carries the extinction time and age of its ancestor.
 The symmetric mode can be seen as an vicariant or allopatric process where
 divided populations suffer equal evolutionary forces while the asymmetric
 mode could be seen as a peripatric speciation where a mother lineage
 continues to exist.  Reference: O. Hagen and T. Stadler (2017). TreeSimGM:
 Simulating phylogenetic trees under general Bellman Harris models with
 lineage-specific shifts of speciation and extinction in R. Methods in
 Ecology and Evolution. <doi:10.1111/2041-210X.12917>.

Package: r-cran-treeslicer
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3370
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ape, r-cran-doparallel, r-cran-foreach, r-cran-ggplot2, r-cran-sf
Suggests: r-cran-devtools, r-cran-ggpubr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-treeslicer_1.0.3-1.ca2004.1_all.deb
Size: 2650332
MD5sum: 54c46ab51efcdc39ce0e37adf9825217
SHA1: ec4d315047089844f80b604c13dc640944ce0e20
SHA256: ce95c1ad011f84e76ff52e08675de73c119446d30d23d48a5c062a5d9fb110ff
SHA512: 24455fc6e481435c95617c540114b28ab68b0dbea57d001cfced9e0bbcecea009bbe3a8eb1befc778d9fe7947d2385082652291a6296964f91141657c617ab0d
Homepage: https://cran.r-project.org/package=treesliceR
Description: CRAN Package 'treesliceR' (To Slice Phylogenetic Trees and Infer Evolutionary Patterns OverTime)
 Provide a range of functions with multiple criteria for cutting phylogenetic
 trees at any evolutionary depth. It enables users to cut trees in any
 orientation, such as rootwardly (from root to tips) and tipwardly (from tips
 to its root), or allows users to define a specific time interval of
 interest. It can also be used to create multiple tree pieces of equal
 temporal width. Moreover, it allows the assessment of novel temporal rates
 for various phylogenetic indexes, which can be quickly displayed
 graphically.

Package: r-cran-treestartr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-phytools, r-cran-ape
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-treestartr_0.1.0-1.ca2004.1_all.deb
Size: 58828
MD5sum: a345758efb53426bed40ddb54a352e49
SHA1: fc12a47418fb27970f2ef06caa90ce3d7f8ef7e0
SHA256: 9e582f86ce751c24ffd6326ba375023430d07baae607c080da86cf050f7a66bc
SHA512: 1e75994ba1f8cdd0de14345514e31cce73d3107e3d868bf0817c2de5b4f10fbbb3a8e767693384b4861e5fd9c702a99efbcebc03272e0752276448d4ed2bcf9f
Homepage: https://cran.r-project.org/package=treestartr
Description: CRAN Package 'treestartr' (Generate Starting Trees for Combined Molecular, Morphologicaland Stratigraphic Data)
 Combine a list of taxa with a phylogeny to generate a starting tree for use
 in total evidence dating analyses.

Package: r-cran-treetop
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4610
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-rcolorbrewer, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-raster, r-cran-rastervis, r-cran-sp, r-cran-geometry, r-cran-rgdal, r-cran-rgl, r-cran-lidr, r-cran-pryr, r-cran-sf, r-cran-stars
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-treetop_0.0.5-1.ca2004.1_all.deb
Size: 4321672
MD5sum: 76474aa6993395f7a6ffb6733d9b5d78
SHA1: 8a4988ef52e7555f8b5f5e5e78b907817407758e
SHA256: 9f309f03068d0d7232e8c3c9c17471fb7174e7ef4fd67d6655345b6c4896c655
SHA512: 0e446cc0aec0a9f69261cbab1298f3893a421f5f099128c7bd1abc0f33e32824b6a5ce87457328bfe1a998fc73d7fa7c25fa97fef7bf0b2b7945f4853e1f4862
Homepage: https://cran.r-project.org/package=treetop
Description: CRAN Package 'treetop' (A Shiny-Based Application for Extracting Forest Information fromLiDAR Data)
 Set of tools implemented into a shiny-based application for extracting and
 analyzing individual tree forest attributes from LiDAR (Light Detection and
 Ranging) data.

Package: r-cran-trekcolors
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1032
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trekcolors_0.2.0-1.ca2004.1_all.deb
Size: 908648
MD5sum: 13cdec9663d0248ad66b8a6b264f1546
SHA1: 9885b801e160cfdc9afeae1c194a6fc4e40fdf20
SHA256: fff843aae6e7d103bca9be3027ad68d1d0b1bbcd14350f74f7741b3762312c5b
SHA512: df61ee4b59ad217af55b55a008e3cb16ad976c5b97d72913b74ea314988ffb65040f91b6ef39efed7248c2cb8b8a24e0039eb8f63f2b3f8763639acf18964849
Homepage: https://cran.r-project.org/package=trekcolors
Description: CRAN Package 'trekcolors' (Star Trek Color Palettes)
 Provides a dataset of predefined color palettes based on the Star Trek
 science fiction series, associated color palette functions, and additional
 functions for generating customized palettes that are on theme. The package
 also offers functions for applying the palettes to plots made using the
 'ggplot2' package.

Package: r-cran-trekfont
Architecture: all
Version: 0.9.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4513
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trekfont_0.9.6-1.ca2004.1_all.deb
Size: 1571836
MD5sum: 232f6d57887de6475af1922cb88c905b
SHA1: e2e42f4109c27a61aca992053718b4c2bb6c8f67
SHA256: a46085b8f1313b3244c3b636706daefb249aa6d1f5ff3035fa4be68d6faa0d08
SHA512: 40c47641af603c9aa4e6f536faa3c631f776cb1fce66f97f842b9e78430b4dbafb9a7f395ea5a71264eb73b7a9d5a1821d751b80920f188b0bf1e6acdb7a1d00
Homepage: https://cran.r-project.org/package=trekfont
Description: CRAN Package 'trekfont' (Star Trek Fonts Collection)
 Provides a collection of true type and open type Star Trek-themed fonts.

Package: r-cran-trelliscopejs
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-htmltools, r-cran-distributionutils, r-cran-gtable, r-cran-digest, r-cran-jsonlite, r-cran-ggplot2, r-cran-base64enc, r-cran-htmlwidgets, r-cran-progress, r-cran-knitr, r-cran-webshot, r-cran-autocogs, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-plotly, r-cran-testthat, r-cran-covr, r-cran-gapminder, r-cran-rmarkdown, r-cran-shiny, r-cran-housingdata
Filename: pool/dists/focal/main/r-cran-trelliscopejs_0.2.6-1.ca2004.1_all.deb
Size: 1205424
MD5sum: 8d4fdb7beed211a886fe72bfc91da032
SHA1: 9f54aa4243b425f9a5c56db7ea66d89a68dc2e2c
SHA256: c077753d8437239d48e321deff22868029498c4d0a4fb5a1bc6ed08e187c23e5
SHA512: eba967b6550b07aaf9f130c36c5767aabcc4b34b3d6df6e471a295cd8632e3f4fcbb8bb6e681474acd624affa15f6853e74b46feea542767d81c89daa50d1838
Homepage: https://cran.r-project.org/package=trelliscopejs
Description: CRAN Package 'trelliscopejs' (Create Interactive Trelliscope Displays)
 Trelliscope is a scalable, flexible, interactive approach to visualizing
 data (Hafen, 2013 <doi:10.1109/LDAV.2013.6675164>). This package provides
 methods that make it easy to create a Trelliscope display specification for
 TrelliscopeJS. High-level functions are provided for creating displays from
 within 'tidyverse' or 'ggplot2' workflows. Low-level functions are also
 provided for creating new interfaces.

Package: r-cran-trellor
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 275
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tibble, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trellor_0.8.0-1.ca2004.1_all.deb
Size: 164948
MD5sum: 1e018f10b7b24d128f928283d7ccb0b0
SHA1: b5cbc07f86c0255541c8fac8e9f7808dd33d4955
SHA256: 56fc472494c5b7affd6609585ec03cfd8068b83317f43bfd264608071c22a511
SHA512: 10f9d6a7fa08ffb4f6de0d29b42d2c58d40d36865c425c4d258e6e5855348136af53daf291a59a2f4ea5cccde6a3d115b329af887afede89be775947cab6f028
Homepage: https://cran.r-project.org/package=trelloR
Description: CRAN Package 'trelloR' (Access the Trello API)
 An R client for the Trello API. Supports free-tier features such as access
 to private boards, creating and updating cards and other resources, and
 downloading data in a structured way.

Package: r-cran-tremendousr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-crayon, r-cran-crul, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-clipr, r-cran-vcr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tremendousr_1.0.0-1.ca2004.1_all.deb
Size: 186072
MD5sum: fc496b4b6cf46d81109708b09b69c0aa
SHA1: c912c42e40177c029888f4ba13c464f243ec53d4
SHA256: ef8f7e54f6093ab62c5d4943b4d96d61041680c2b79ebb06ad344e31e807e55b
SHA512: 6348da3439da1ea6121de32d12cfac5c5fe74cdf99e4af3eaff1066d168d95d35755e0936b0aaad8dd0aad60c591a86e038a143af2a1344a662a120c3f58151e
Homepage: https://cran.r-project.org/package=tremendousr
Description: CRAN Package 'tremendousr' (Easily Send Rewards and Incentives with 'Tremendous' from R)
 A slightly-opinionated R interface for the 'Tremendous' API
 (<https://www.tremendous.com/>).  In addition to supporting GET and POST
 requests, 'tremendousr' has, dare I say, tremendously intuitive functions
 for sending digital rewards and incentives directly from R.

Package: r-cran-trenchr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4440
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-desolve, r-cran-msm, r-cran-rdpack, r-cran-zoo
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trenchr_1.1.1-1.ca2004.1_all.deb
Size: 2612600
MD5sum: 0be16587ab80bbe4919e72ba4c8d7a22
SHA1: f0c80847c71d71686a183829f5ec2441e228da03
SHA256: 89ff817e3e1b7a3ed6c00ce06e41ce9b53a22b7bea49cafab3ec2bac53b8e042
SHA512: b1068f001ac0a4f45e57fc8a3c63b7915d276cd54eb815b0aa978b8e6f2d9177ced4d88e4f2e88cfae8ba65a70185c5345aca57a13c9e92dd17d221e7ec0d697
Homepage: https://cran.r-project.org/package=TrenchR
Description: CRAN Package 'TrenchR' (Tools for Microclimate and Biophysical Ecology)
 Tools for translating environmental change into organismal response.
 Microclimate models to vertically scale weather station data to organismal
 heights. The biophysical modeling tools include both general models for heat
 flows and specific models to predict body temperatures for a variety of
 ectothermic taxa. Additional functions model and temporally partition air
 and soil temperatures and solar radiation. Utility functions estimate the
 organismal and environmental parameters needed for biophysical ecology.
 'TrenchR' focuses on relatively simple and modular functions so users can
 create transparent and flexible biophysical models. Many functions are
 derived from Gates (1980) <doi:10.1007/978-1-4612-6024-0> and Campbell and
 Norman (1988) <isbn:9780387949376>.

Package: r-cran-trendchange
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trendchange_1.2-1.ca2004.1_all.deb
Size: 29508
MD5sum: 8eadb32c35d3b0fa40e6a13ffc8fd9ca
SHA1: e5ad704750ab5f2e752e36b8d67c84aa03ded8e3
SHA256: d3706d3e526c0722549621124d700beda873f42e161a779c39c10de4bed3606f
SHA512: ab7ecb8b30456f513e4f65c24e9246be8081cff915eccfcb03167bb39dd4e596aa2aaa5193bc6194c9cd58bb87a5b2af2f5e6dd3721b19e3646fcba8e78b55c1
Homepage: https://cran.r-project.org/package=trendchange
Description: CRAN Package 'trendchange' (Innovative Trend Analysis and Time-Series Change Point Analysis)
 Innovative Trend Analysis is a graphical method to examine the trends in
 time series data. Sequential Mann-Kendall test uses the intersection of
 prograde and retrograde series to indicate the possible change point in time
 series data. Distribution free cumulative sum charts indicate location and
 significance of the change point in time series.  Zekai, S. (2011).
 <doi:10.1061/(ASCE)HE.1943-5584.0000556>.  Grayson, R. B. et al. (1996).
 Hydrological Recipes: Estimation Techniques in Australian Hydrology.
 Cooperative Research Centre for Catchment Hydrology, Australia, p. 125.
 Sneyers, S. (1990). On the statistical analysis of series of observations.
 Technical note no 5 143, WMO No 725 415. Secretariat of the World
 Meteorological Organization, Geneva, 192 pp.

Package: r-cran-trendeval
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-trending, r-cran-yardstick, r-cran-rsample, r-cran-tibble
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-outbreaks
Filename: pool/dists/focal/main/r-cran-trendeval_0.1.1-1.ca2004.1_all.deb
Size: 100552
MD5sum: 2bea55ffdbeded71dadf9e14115b77f6
SHA1: 6ebc533b7215505ba33aff00b70ee05449c8a2eb
SHA256: 5479a9f10cb07036b4137acc59c128d1f1792b34c9f3f36f5c80fb47c2338874
SHA512: 0b1a35cbef9d3278733c96cd790149befeee0431f8cf944f8d64e5f87bd73fccbb0824d699b3ceb13aef9fed5e67e7c329adf123a281a0c153b5f1c8efc4fa3d
Homepage: https://cran.r-project.org/package=trendeval
Description: CRAN Package 'trendeval' (Evaluate Trending Models)
 Provides a coherent interface for evaluating models fit with the trending
 package.  This package is part of the RECON
 (<https://www.repidemicsconsortium.org/>) toolkit for outbreak analysis.

Package: r-cran-trending
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-citools, r-cran-mass, r-cran-tibble, r-cran-vctrs, r-cran-pillar
Suggests: r-cran-knitr, r-cran-brms, r-cran-bh, r-cran-rcppeigen, r-cran-rmarkdown, r-cran-dplyr, r-cran-outbreaks, r-cran-testthat, r-cran-ggplot2, r-cran-patchwork, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trending_0.1.0-1.ca2004.1_all.deb
Size: 187600
MD5sum: 5ba18656556cd7a7229c22df467ac6cb
SHA1: 9caadffde26d3f6be4babf8bb6dd0eb89efd219a
SHA256: 96ecbde197dc0ace8608120ed623ea324498e8eba07961ef7a25772bd84ffe37
SHA512: 19e5548ba241999e0db9b5350d6a29045dad760a0a02c5cfdacd3a1b33f4e89e1961068af2ad3e943c730c9c5d88557da89eb11abb39cb9aac7dc733e2d906b3
Homepage: https://cran.r-project.org/package=trending
Description: CRAN Package 'trending' (Model Temporal Trends)
 Provides a coherent interface to multiple modelling tools for fitting trends
 along with a standardised approach for generating confidence and prediction
 intervals.

Package: r-cran-trendintrend
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-proc, r-cran-rms, r-cran-nleqslv, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-trendintrend_1.1.3-1.ca2004.1_all.deb
Size: 63440
MD5sum: 35284d6b3c4a6945127b013d188b2911
SHA1: b142057ac73357237e9fe0ab3ea329ca19afc5e6
SHA256: 83a6258cbe3909ab9641656f05ca515e646dcdbc551dab09c22c93587ec70948
SHA512: 1ee2d68d29514d23bbb73806bcaee05fd61c157c32baf60b666ed6db715c6b7a6a4650dfaa2a5161548babc6dc9fb3c605663399b40c12686bc241f744986213
Homepage: https://cran.r-project.org/package=TrendInTrend
Description: CRAN Package 'TrendInTrend' (Odds Ratio Estimation and Power Calculation for the Trend inTrend Model)
 Estimation of causal odds ratio and power calculation given trends in
 exposure prevalence and outcome frequencies of stratified data.

Package: r-cran-trendlsw
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 296
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-wavethresh, r-cran-locits
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-trendlsw_1.0.2-1.ca2004.1_all.deb
Size: 258196
MD5sum: 8eef2f116c6f426b58518a4a70d2b661
SHA1: ef08b7323c2ea77a73956602f640706c0f6096ec
SHA256: b8939f940443de611417118d7dcfda9646ca5d4a8cfd305cf2426e6691668ace
SHA512: 3b4e6ebcf990122d5f89df482a29fec90d931cd719c9adc38c0de317ed3a23e214aa0e9eaf068676e9a8ada7ea158257d22f341add5d269abc5056ff3e59191c
Homepage: https://cran.r-project.org/package=TrendLSW
Description: CRAN Package 'TrendLSW' (Wavelet Methods for Analysing Locally Stationary Time Series)
 Fitting models for, and simulation of, trend locally stationary wavelet
 (TLSW) time series models, which take account of time-varying trend and
 dependence structure in a univariate time series. The TLSW model, and its
 estimation, is described in McGonigle, Killick and Nunes (2022a)
 <doi:10.1111/jtsa.12643>, (2022b) <doi:10.1214/22-EJS2044>. New users will
 likely want to start with the TLSW function.

Package: r-cran-trendsegmentr
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trendsegmentr_1.3.0-1.ca2004.1_all.deb
Size: 68832
MD5sum: 25a731d4a7bbb215b8670117a1010f94
SHA1: d06401614209cc0c80eb0b1e21a1360f5346a6e6
SHA256: cedaa0aff14c1f5f168fb25fdff7fc3165c76e34f349b40f5632b598fc58056a
SHA512: 7b4d4e7e87cef5af9b4ec793e0ec556c3b92a5b7777b870267615eb54f15cbf4301759c60c13a72d916277832607bea0f9550a6b63109ac5b8ff6dff09da106d
Homepage: https://cran.r-project.org/package=trendsegmentR
Description: CRAN Package 'trendsegmentR' (Linear Trend Segmentation)
 Performs the detection of linear trend changes for univariate time series by
 implementing the bottom-up unbalanced wavelet transformation proposed by H.
 Maeng and P. Fryzlewicz (2023). The estimated number and locations of the
 change-points are returned with the piecewise-linear estimator for signal.

Package: r-cran-trendslr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-forecast, r-cran-plyr, r-cran-rssa, r-cran-tseries, r-cran-zoo, r-cran-imputets
Filename: pool/dists/focal/main/r-cran-trendslr_1.0-1.ca2004.1_all.deb
Size: 176348
MD5sum: f5428af7acb538fbfea034ff5383eb2f
SHA1: bcba4331e99df7ca708e26b7ed8aeec74762804e
SHA256: 66cd2917f2ac072beba73216c310cafeeb81f18419119de379ff894a1a71d26c
SHA512: 81cd9999fda5ae9188d5aea0c8d9f7de4b00acabd1b6c4c7eaa02a6efe3cd705280b67f20427ea54a5a005eeafac6be1b9aac7efcda7288efed5da2a967687f8
Homepage: https://cran.r-project.org/package=TrendSLR
Description: CRAN Package 'TrendSLR' (Estimating Trend, Velocity and Acceleration from Sea LevelRecords)
 Analysis of annual average ocean water level time series, providing improved
 estimates of trend (mean sea level) and associated real-time velocities and
 accelerations. Improved trend estimates are based on singular spectrum
 analysis methods. Various gap-filling options are included to accommodate
 incomplete time series records. The package also includes a range of
 diagnostic tools to inspect the components comprising the original time
 series which enables expert interpretation and selection of likely trend
 components. A wide range of screen and plot to file options are available in
 the package.

Package: r-cran-trendtm
Architecture: all
Version: 2.0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-softimpute, r-cran-capushe, r-cran-fda
Filename: pool/dists/focal/main/r-cran-trendtm_2.0.21-1.ca2004.1_all.deb
Size: 50628
MD5sum: d23a0a8eea1a080f43a23a5f8c927a84
SHA1: a2e23bd220d8eab64eb86f6c62ccb033acd8cd42
SHA256: 4fd8389bc18d66e81d9c4ec1e1fe71152c4f9267f96365ba3017614f2dc00a33
SHA512: 5180def07098b636287dfd5452031432b7e8ed010694420bc408f91d247ef1d69dc530475de46d126c8685549fc09ba65d424a49b362f98ab5f931f48287f1e7
Homepage: https://cran.r-project.org/package=TrendTM
Description: CRAN Package 'TrendTM' (Trend of High-Dimensional Time Series Matrix Estimation)
 Matrix factorization for multivariate time series with both low rank and
 temporal structures.  The procedure is the one proposed by Alquier, P. and
 Marie, N.  "Matrix factorization for multivariate time series analysis."
 Electronic Journal of Statistics, 13(2), 4346-4366 (2019).

Package: r-cran-trendtwosub
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-trendtwosub_0.0.2-1.ca2004.1_all.deb
Size: 73892
MD5sum: 89a746a534da39b3b47f1c631da9d15f
SHA1: 99d5513d4ddb238219203bd62816082eb6be3ada
SHA256: 44f86249527ef08981009d71c2d3bb21ba1fcafae876f883cde326dcfd8d6a3a
SHA512: 47631991ff4cc70ab71d2766a8a0d727bf5769b0f391095107a6f93c67be1eb7e54dbc0f7a7ed588ebdefe557993d5e21502b0fa210a971eba20fe301225bd64
Homepage: https://cran.r-project.org/package=Trendtwosub
Description: CRAN Package 'Trendtwosub' (Two Sample Order Free Trend Nonparametric Inference)
 Non-parametric trend comparison of two independent samples with sequential
 subsamples. For more details, please refer to Wang, Stapleton, and Chen
 (2018) <doi:10.1080/00949655.2018.1482492>.

Package: r-cran-trendyy
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtrendsr, r-cran-magrittr, r-cran-dplyr, r-cran-purrr, r-cran-crayon, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-trendyy_0.1.1-1.ca2004.1_all.deb
Size: 26520
MD5sum: 0d470f5797d3a4fce0ef6ce5bfc83922
SHA1: 110e82d08bdeab1729b306d64e1bcbc4e73050da
SHA256: 276fdf5230d4b3bca07ee40696ebdfd4677c761ae5f287ac5e32a6ccaab64a3d
SHA512: e3f0ea9d9ad6052af6e406a8a1688b5c34843c096b8374278df2cb44599590cf8bd8079197935dcba0387778d03efe4ee255a3327a0f9cee8ce4c44ebff87a32
Homepage: https://cran.r-project.org/package=trendyy
Description: CRAN Package 'trendyy' (A Tidy Wrapper Around 'gtrendsR')
 Access Google Trends information. This package provides a tidy wrapper to
 the 'gtrendsR' package.  Use four spaces when indenting paragraphs within
 the Description.

Package: r-cran-tres
Architecture: all
Version: 1.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4267
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-manifoldoptim, r-cran-mass, r-cran-pracma, r-cran-rtensor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tres_1.1.5-1.ca2004.1_all.deb
Size: 4276764
MD5sum: 4f95c01d53a96be1735e9f3c958ff58b
SHA1: 3d18aa567cd4674964f1c07a4671e713695a33a7
SHA256: 02b483687b581bdcf44b91cc785c054a8636e966f72ce49e93dba0fd7905fa6c
SHA512: 305d3fc6916e208546b9593d7ba0efca5735e9662fac5b233db215d2192aa1ff1916cabbc1e3b77b98a61e98c64f7411b613b9248cb7f732ea6d2362ffb3a0c1
Homepage: https://cran.r-project.org/package=TRES
Description: CRAN Package 'TRES' (Tensor Regression with Envelope Structure)
 Provides three estimators for tensor response regression (TRR) and tensor
 predictor regression (TPR) models with tensor envelope structure. The three
 types of estimation approaches are generic and can be applied to any
 envelope estimation problems. The full Grassmannian (FG) optimization is
 often associated with likelihood-based estimation but requires heavy
 computation and good initialization; the one-directional optimization
 approaches (1D and ECD algorithms) are faster, stable and does not require
 carefully chosen initial values; the SIMPLS-type is motivated by the partial
 least squares regression and is computationally the least expensive. For
 details of TRR, see Li L, Zhang X (2017)
 <doi:10.1080/01621459.2016.1193022>. For details of TPR, see Zhang X, Li L
 (2017) <doi:10.1080/00401706.2016.1272495>. For details of 1D algorithm, see
 Cook RD, Zhang X (2016) <doi:10.1080/10618600.2015.1029577>. For details of
 ECD algorithm, see Cook RD, Zhang X (2018) <doi:10.5705/ss.202016.0037>. For
 more details of the package, see Zeng J, Wang W, Zhang X (2021)
 <doi:10.18637/jss.v099.i12>.

Package: r-cran-trexr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3573
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-zoo, r-cran-solar, r-cran-lubridate, r-cran-lhs, r-cran-doparallel, r-cran-foreach, r-cran-tibble, r-cran-dplyr, r-cran-sensitivity, r-cran-randtoolbox, r-cran-boot, r-cran-dosnow, r-cran-msm, r-cran-magrittr
Suggests: r-cran-shiny, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-trexr_1.0.0-1.ca2004.1_all.deb
Size: 2048708
MD5sum: a06317238be75c7516a428447ae0a7ba
SHA1: b43a67377f2ed152ec13861b5492320f0fc9479a
SHA256: 793ea29803e1d119caa50fa719199579ca86bea01c558a885bf866ca09e62a6a
SHA512: 2cc20763312c0215921d1b1a6e1dccfac07b9191639aef3622a83a16728bc9d5698a8f5a71202b99589491764c3ec8fed96225202640f173e4cda9470b672eba
Homepage: https://cran.r-project.org/package=TREXr
Description: CRAN Package 'TREXr' (Tree Sap Flow Extractor)
 Performs data assimilation, processing and analyses on sap flow data
 obtained with the thermal dissipation method (TDM). The package includes
 functions for gap filling time-series data, detecting outliers, calculating
 data-processing uncertainties and generating uniform data output and
 visualisation. The package is designed to deal with large quantities of data
 and to apply commonly used data-processing methods. The functions have been
 validated on data collected from different tree species across the northern
 hemisphere (Peters et al. 2018 <doi:10.1111/nph.15241>).

Package: r-cran-trexselector
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2004
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-tlars, r-cran-doparallel, r-cran-foreach, r-cran-dorng, r-cran-glmnet, r-cran-boot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-patchwork, r-cran-wgcna, r-cran-fastcluster, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trexselector_1.0.0-1.ca2004.1_all.deb
Size: 834280
MD5sum: 9acd4782a20bce9b117540481a502d2a
SHA1: a3d4b7da9065a41e0e2ae4083000c0f711f69a8e
SHA256: a9d61d1f1992b3244eedc58ad996011a011473b1c1e4fc71a8df80ff03964cfd
SHA512: d9c2879ea1588ea279a0b02d20759700e97f0ae5a917e1bc6e3a3c28f04181b4b9fb3af59913f8100196879360d987653aed315324910000cf32308299e2aa34
Homepage: https://cran.r-project.org/package=TRexSelector
Description: CRAN Package 'TRexSelector' (T-Rex Selector: High-Dimensional Variable Selection & FDRControl)
 Performs fast variable selection in high-dimensional settings while
 controlling the false discovery rate (FDR) at a user-defined target level.
 The package is based on the paper Machkour, Muma, and Palomar (2022)
 <arXiv:2110.06048>.

Package: r-cran-tri.hierarchical.ibds
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tri.hierarchical.ibds_1.0.0-1.ca2004.1_all.deb
Size: 76220
MD5sum: 4025c9c945bf6e32f83234f5ffb4b4da
SHA1: a3a7bc346b6da3b543945629603f6303f70be48b
SHA256: e3df4632123f1a9b617f399e382a7ac545eefb7b6ece395701ce7c3f7316dd24
SHA512: ebbd67a2366ffee063f6178b3c111a8ba590928b712bfb201acb60d9e67b14be4c301cd8ba98fb829cce0a2e475936b33b9205c1678062af724058babd3e2e15
Homepage: https://cran.r-project.org/package=Tri.Hierarchical.IBDs
Description: CRAN Package 'Tri.Hierarchical.IBDs' (Tri-Hierarchical IBDs (Tri- Hierarchical Incomplete BlockDesigns))
 Tri-hierarchical incomplete block design is defined as an arrangement of v
 treatments each replicated r times in a three system of blocks if, each
 block of the first system contains m_1 blocks of second system and each
 block of the second system contains m_2 blocks of the third system. Ignoring
 the first and second system of blocks, it leaves an incomplete block design
 with b_3 blocks of size k_3i units; ignoring first and third system of
 blocks, it leaves an incomplete block design with b_2 blocks each of size
 k_2i units and ignoring the second and third system of blocks, it leaves an
 incomplete block design with b_1 blocks each of size k_1 units. For dealing
 with experimental circumstances where there are three nested sources of
 variation, a tri-hierarchical incomplete block design can be adopted. Tri -
 hierarchical incomplete block designs can find application potential in
 obtaining mating-environmental designs for breeding trials. To know more
 about nested block designs one can refer Preece (1967)
 <doi:10.1093/biomet/54.3-4.479>. This package includes series1(), series2(),
 series3() and series4() functions. This package generates tri-hierarchical
 designs with six component designs under certain parameter restrictions.

Package: r-cran-triact
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 18055
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-data.table, r-cran-checkmate, r-cran-lubridate
Suggests: r-cran-signal, r-cran-tibble, r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-triact_0.3.1-1.ca2004.1_all.deb
Size: 2123364
MD5sum: 5cabb79acd8bca67669d0b30e1bf6c9e
SHA1: 860972bbfe876c915d0c2a4fb52294c29dc082a4
SHA256: e13abe0305028f65852e88ec087e3d853cda7844e18359c15f33da5cb009c6db
SHA512: a52f60caefa27054cf706867c5539269e0ef5bde8c113439ff388592590ec335aa3974ca7695fc8f225727a2e3daccedaa31ec7fa68db045baba8ae784409ac6
Homepage: https://cran.r-project.org/package=triact
Description: CRAN Package 'triact' (Analyzing the Lying Behavior of Cows from Accelerometer Data)
 Assists in analyzing the lying behavior of cows from raw data recorded with
 a triaxial accelerometer attached to the hind leg of a cow. Allows the
 determination of common measures for lying behavior including total lying
 duration, the number of lying bouts, and the mean duration of lying bouts.
 Further capabilities are the description of lying laterality and the
 calculation of proxies for the level of physical activity of the cow.
 Reference: Simmler M., Brouwers S. P. (2024) <doi:10.7717/peerj.17036>.

Package: r-cran-triadsim
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1633
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-snpstats, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-triadsim_0.3.0-1.ca2004.1_all.deb
Size: 656672
MD5sum: 6440304403ddffc745c110deb3471353
SHA1: ef312e82763ecad67e57135ec664a0a2bf186145
SHA256: c80f9fa6be468f70252015980214230595354cf4dc496e0e66330292164e5896
SHA512: 2396769485994a9966d74d6870a54610f3d964a31c8514eee3453e22e60ac17d74ee782a1d4fcb61ffaf1c8677050d098ac833886fa0f1477475de0b8feccf84
Homepage: https://cran.r-project.org/package=TriadSim
Description: CRAN Package 'TriadSim' (Simulating Triad Genomewide Genotypes)
 Simulate genotypes for case-parent triads, case-control, and quantitative
 trait samples with realistic linkage diequilibrium structure and allele
 frequency distribution. For studies of epistasis one can simulate models
 that involve specific SNPs at specific sets of loci, which we will refer to
 as "pathways". TriadSim generates genotype data by resampling triad
 genotypes from existing data. The details of the method is described in the
 manuscript under preparation "Simulating Autosomal Genotypes with Realistic
 Linkage Disequilibrium and a Spiked in Genetic Effect" Shi, M., Umbach,
 D.M., Wise A.S., Weinberg, C.R.

Package: r-cran-triangle
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mass
Filename: pool/dists/focal/main/r-cran-triangle_1.0-1.ca2004.1_all.deb
Size: 104276
MD5sum: 7e1dd82b79f2b188353bd12337df9525
SHA1: c80341d8a7f50bc89a0d90a255c4822bd609cb57
SHA256: 244afb8af4de8243367e611d5c8b7f722099a7bd3d40c41fc62cfe07ce2f38cc
SHA512: 768a066188d0bb18ce1039940ec10f0083c2f90731cb3551fbd0baf79896ee8884d813282069b9c018db37406d461fe5c65a9d8e5bef4624eb1dd4e6f391d4f6
Homepage: https://cran.r-project.org/package=triangle
Description: CRAN Package 'triangle' (Distribution Functions and Parameter Estimates for the TriangleDistribution)
 Provides the "r, q, p, and d" distribution functions for the triangle
 distribution.  Also includes maximum likelihood estimation of parameters.

Package: r-cran-triangulation
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-triangulation_0.5.0-1.ca2004.1_all.deb
Size: 32484
MD5sum: 5531534ea4b620ee7b8bfb2c90cf4016
SHA1: c0e2ee2b39929aa188b67bb29a68cf6586084b01
SHA256: 9189a97d3bcad23a179dd02eb03c88a60f99aa11f75cabbee86394d0429179e8
SHA512: e4a4b7b39ba59df8aa6d864f90632e51246112ac4956fec89801a556996a0d97d4687339d9716cf6a00cfe503f2a438819d2e94ddcec858ebbd9577774ca36d4
Homepage: https://cran.r-project.org/package=triangulation
Description: CRAN Package 'triangulation' (Determine Position of Observer)
 Measuring angles between points in a landscape is much easier than measuring
 distances. When the location of three points is known the position of the
 observer can be determined based solely on the angles between these points
 as seen by the observer. This task (known as triangulation) however requires
 onerous calculations - these calculations are automated by this package.

Package: r-cran-tribe
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lazyeval, r-cran-magrittr, r-cran-rlang, r-cran-rstudioapi
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tribe_0.1.8-1.ca2004.1_all.deb
Size: 57956
MD5sum: 28d975887ba3a371bb725cf90ab730dd
SHA1: 481e899ed506e7bbb8290d1c41b17320e4874f28
SHA256: 69a0431736d51d09f533f52fed20a53341ae75c4f7996c7b8889f5a1cd87fd39
SHA512: 33b8cd283cc759148364dd79225b442ad33ced7a86e8b49f9fc608da562fa376b2907caf870b80c7bfd972cd0930f756b75a661a2301ddf799b08b9b05887ac8
Homepage: https://cran.r-project.org/package=tribe
Description: CRAN Package 'tribe' (Play with the Tribe of Attributes)
 Functions to make manipulation of object attributes easier.  It also
 contains a few functions that extend the 'dplyr' package for data
 manipulation, and it provides new pipe operators, including the pipe '%@>%'
 similar to the 'magrittr' '%>%', but with the additional functionality to
 enable attributes propagation.

Package: r-cran-tricolore
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggtern, r-cran-rlang, r-cran-shiny, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-leaflet, r-cran-httpuv, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-tricolore_1.2.4-1.ca2004.1_all.deb
Size: 763164
MD5sum: a5a4f3108bae4cb946674461fb85d522
SHA1: 5be90cac1ecca0eb3e438757c5c10893337da0e9
SHA256: 46e9fb8f4152998c8a5db44d2fec530db8a6c2bf24274716679651083786b99f
SHA512: e4cebfc51851f1da3418f2c9b81b64e0856224368e34aae1e7ef97935fffbf2140d2336b63ba8810b864cbf84fdf5dd852adda614b69d6ab38c045033a9855c5
Homepage: https://cran.r-project.org/package=tricolore
Description: CRAN Package 'tricolore' (A Flexible Color Scale for Ternary Compositions)
 Compositional data consisting of three-parts can be color mapped with a
 ternary color scale. Such a scale is provided by the tricolore packages with
 options for discrete and continuous colors, mean-centering and scaling. See
 Jonas Schöley (2021) "The centered ternary balance scheme. A technique to
 visualize surfaces of unbalanced three-part compositions"
 <doi:10.4054/DemRes.2021.44.19>, Jonas Schöley, Frans Willekens (2017)
 "Visualizing compositional data on the Lexis surface"
 <doi:10.4054/DemRes.2017.36.21>, and Ilya Kashnitsky, Jonas Schöley (2018)
 "Regional population structures at a glance"
 <doi:10.1016/S0140-6736(18)31194-2>.

Package: r-cran-triggerstrategy
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ga, r-cran-ldbounds, r-cran-mvtnorm, r-cran-nleqslv
Filename: pool/dists/focal/main/r-cran-triggerstrategy_1.2.0-1.ca2004.1_all.deb
Size: 94944
MD5sum: 0dd6ca3a23b4f15796c6fbd1176dd937
SHA1: aaafeccba905f3b7ba4be544bd353977bcf0467c
SHA256: bc6e19daa8566c498699918a89f0ebbec43dd3a3abbf6b6bc52eddca35c09009
SHA512: 174837f8905c570588af0235117c394472a479cb0ca9daba9e5a59f4b98a0ecdc0524e40e9f012bbe287114cd16b576592d4ee9c9ce081930a6b89300cb7f2e1
Homepage: https://cran.r-project.org/package=triggerstrategy
Description: CRAN Package 'triggerstrategy' (Trigger Strategy in Clinical Trials)
 The trigger strategy is a general framework for a multistage statistical
 design with multiple hypotheses, allowing an adaptive selection of interim
 analyses. The selection of interim stages can be associated with some
 prespecified endpoints which serve as the trigger. This selection allows us
 to refine the critical boundaries in hypotheses testing procedures, and
 potentially increase the statistical power. This package includes several
 trial designs using the trigger strategy.  See Gou, J. (2023), "Trigger
 strategy in repeated tests on multiple hypotheses", Statistics in
 Biopharmaceutical Research, 15(1), 133-140, and Gou, J. (2022), "Sample size
 optimization and initial allocation of the significance levels in group
 sequential trials with multiple endpoints", Biometrical Journal, 64(2),
 301-311.

Package: r-cran-trigon
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4390
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-caret, r-cran-data.table, r-cran-dplyr, r-cran-dt, r-cran-factoextra, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggridges, r-cran-markdown, r-cran-patchwork, r-cran-randomforest, r-cran-rcolorbrewer, r-cran-readxl, r-cran-sessioninfo, r-cran-shiny, r-cran-shinydashboardplus, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-simpleboot, r-cran-writexl
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trigon_0.3.3-1.ca2004.1_all.deb
Size: 1661596
MD5sum: c5d54cb6ba29b1f82e9b974f8e363556
SHA1: 3f6785fd47e610d0f4e98e86e5857051f5bd9401
SHA256: e83e36dcadb5899e6cc2a27e5d38d439d4122e423aeac589b24328834d04ebed
SHA512: 578089e05996112318d88ffb6f46364ad65b6cf495e18ea7339801cd96e6933932eb698accb0ef51fa684467a60600d519eb5833f53095fa3bbf81d3f695aa34
Homepage: https://cran.r-project.org/package=tRigon
Description: CRAN Package 'tRigon' (Toolbox for Integrative Pathomics Analysis)
 Processing and analysis of pathomics, omics and other medical datasets.
 'tRigon' serves as a toolbox for descriptive and statistical analysis,
 correlations, plotting and many other methods for exploratory analysis of
 high-dimensional datasets.

Package: r-cran-trigpoints
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1055
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-trigpoints_1.0.0-1.ca2004.1_all.deb
Size: 1041000
MD5sum: d7d4caf287eed3f021149181c6626a36
SHA1: e7c7ca8bec6f596f0d792113d0b7f8db343ef1ea
SHA256: 5fbeec47c7440522968562fd053b1300cf9dfcdbd9f3dc8edd55b2021960b969
SHA512: 850d4813dee9ca8c4b46f31dc27c8a44f9fc3e95ddf65f73ef5db13b7447adc2a329b1c36a18f8f8d264056d5afb3a285970af31850287d5b19f8ecd1a8677f7
Homepage: https://cran.r-project.org/package=trigpoints
Description: CRAN Package 'trigpoints' (Data Set of Trig Points in Great Britain in British NationalGrid Coordinates)
 A complete data set of historic GB trig points in British National Grid
 (OSGB36) coordinate reference system. Trig points (aka triangulation
 stations) are fixed survey points used to improve the accuracy of map making
 in Great Britain during the 20th Century. Trig points are typically located
 on hilltops so still serve as a useful navigational aid for walkers and
 hikers today.

Package: r-cran-trimatch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2096
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ez, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-gridextra, r-cran-psagraphics, r-cran-psych, r-cran-randomforest
Suggests: r-cran-bookdown, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-xtable
Filename: pool/dists/focal/main/r-cran-trimatch_1.0.0-1.ca2004.1_all.deb
Size: 2029104
MD5sum: c1ff67e0edb358e4e82682d26d2656f5
SHA1: f6c2f54459c17ec34ee85a6f0b091a2182895334
SHA256: b29e6f2c03d8daa527565709216254a3809072c5af5613c872d5a22d652672cf
SHA512: fd50489b127ccdcaedca6115cbb9d4ccf01a7ec2d1c0d5a51502f11ab16ab88175be1cf14c66e5974bb2984658c93cbd7eb7a0ec475851806d8908c5ad747a8e
Homepage: https://cran.r-project.org/package=TriMatch
Description: CRAN Package 'TriMatch' (Propensity Score Matching of Non-Binary Treatments)
 Propensity score matching for non-binary treatments.

Package: r-cran-trimcluster
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-fpc
Filename: pool/dists/focal/main/r-cran-trimcluster_0.1-6-1.ca2004.1_all.deb
Size: 20660
MD5sum: d61c96df5e4e826f9cad77d5e406ecb4
SHA1: 25c2e6b321d840e26790e558ffcb52eda612fa89
SHA256: af440d42334fae40f128d956d87282d58eed8e94429bef2cd635eeaa0e4b8253
SHA512: 08cb61c9caf028844ee63567b61b382ef3aaf434d462967246f75a55b2abe32258687d75055d86de64f47cf5815ee9a13bab9f92d9d26f2ffd643be5ca8703c0
Homepage: https://cran.r-project.org/package=trimcluster
Description: CRAN Package 'trimcluster' (Cluster Analysis with Trimming)
 Trimmed k-means clustering. The method is described in Cuesta-Albertos et
 al. (1997) <doi:10.1214/aos/1031833664>.

Package: r-cran-trimetstops
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trimetstops_0.1.0-1.ca2004.1_all.deb
Size: 199920
MD5sum: 3d937c29f57db9c5af4c55d5eba20ea3
SHA1: db78b53fe49b6719d2414ebb8095c869928e9a54
SHA256: fc0fd4d49b375368cd58563c5060762d15e4a64d8fa50102267af70647f5620f
SHA512: 58fe7b3cd9c99174896a983958db2feacecdd6d93177181bea05af2dfdd61c817f62979cf752ba8341b9cffebd48a98eda83deb03ccc88a0d56a45f438bf1a1a
Homepage: https://cran.r-project.org/package=trimetStops
Description: CRAN Package 'trimetStops' (Information on all of the TriMet Stops in the Portland MetroArea)
 Information on all of the TriMet stops in the Portland Metro Area. It
 includes information such as the longitude, latitude, cross street, and
 direction of the stop. TriMet has catalogued these stops, 6880 in total.

Package: r-cran-trimmer
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-crayon, r-cran-cli, r-cran-pryr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-trimmer_0.8.1-1.ca2004.1_all.deb
Size: 70460
MD5sum: 2aebd03382c823c3ad4657e7dc0be5bb
SHA1: 0252bfcf0c50e3ff20a9d86db4c9d28699526933
SHA256: 5150c9ff7e8379b68e7e9bcd2389fa48dd049faa450c502cb2cf8b66073849d1
SHA512: 4fd1ccbd7a630e54741e0982fb714ee61168abe1ddab56d291e1ea7d67e94c3fee42020ca5ce2265bdc6b70c2cd8a74569f0dd0a0b5a8d50a72bc28d555a5900
Homepage: https://cran.r-project.org/package=trimmer
Description: CRAN Package 'trimmer' (Trim an Object)
 A lightweight toolkit to reduce the size of a list object. The object is
 minimized by recursively removing elements from the object one-by-one. The
 process is constrained by a reference function call specified by the user,
 where the target object is given as an argument.  The procedure will not
 allow elements to be removed from the object, that will cause results from
 the function call to diverge from the function call with the original
 object.

Package: r-cran-trimr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-trimr_1.1.1-1.ca2004.1_all.deb
Size: 112352
MD5sum: 989b69d25ed9940d8372173b138255f0
SHA1: 03cf5f96f5be4b3b749eb3503adffe228dc819cd
SHA256: 9356eae6c338f019258e4fcc82c3428e628271d9d59db605b6d2e877f568856b
SHA512: c3c29836f0957f5579d563cad86e94f99c9910b751947fad480d9b01e65312a217f1bd435c6eb3ccf5bca18935f62cd059f6f2c0bdf4023e6ee938e63feeb281
Homepage: https://cran.r-project.org/package=trimr
Description: CRAN Package 'trimr' (An Implementation of Common Response Time Trimming Methods)
 Provides various commonly-used response time trimming methods, including the
 recursive / moving-criterion methods reported by Van Selst and Jolicoeur
 (1994). By passing trimming functions raw data files, the package will
 return trimmed data ready for inferential testing.

Package: r-cran-trinroc
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 457
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-rgl, r-cran-gridextra
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-mass, r-cran-reshape
Filename: pool/dists/focal/main/r-cran-trinroc_0.7-1.ca2004.1_all.deb
Size: 305668
MD5sum: ca2e360d13b639e5f6511d505cad54e7
SHA1: cf3a0845a3ef0776325ad9781a0d9652b6f3c15d
SHA256: 746e9f39bef39a6dd518a57905e0632f3a637ddc10caa6771d4792d70cf18d20
SHA512: 212d041c0d54713381007317a9239ebb6342d323267eac952da20582dfc00f1f9d26d1d8aaf850ea38f3e56a40eb19f43f6516b83560fba3df54f9ede7bae306
Homepage: https://cran.r-project.org/package=trinROC
Description: CRAN Package 'trinROC' (Statistical Tests for Assessing Trinormal ROC Data)
 Several statistical test functions as well as a function for exploratory
 data analysis to investigate classifiers allocating individuals to one of
 three disjoint and ordered classes. In a single classifier assessment the
 discriminatory power is compared to classification by chance. In a
 comparison of two classifiers the null hypothesis corresponds to equal
 discriminatory power of the two classifiers.  See also "ROC Analysis for
 Classification and Prediction in Practice" by Nakas, Bantis and Gatsonis
 (2023), ISBN 9781482233704.

Package: r-cran-triogxe
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-msm, r-cran-mgcv, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-triogxe_0.1-1-1.ca2004.1_all.deb
Size: 163604
MD5sum: fbd6940628770dbc33bbefd7c056ea25
SHA1: c7f42fca8e3118bcc68adf09775c745e697a41e3
SHA256: f56e5b6057af173ebcff49e2727ddb12652e4badb4be08663543ede74b486f08
SHA512: fecd82341c676faeed7b1aecfbc78f4e8d29512bf9fdde01c75dd584277b3e042b0e1672f619bdd3d3afb571d5183c1f0a6de11354f4474fdc8fad7123a1901f
Homepage: https://cran.r-project.org/package=trioGxE
Description: CRAN Package 'trioGxE' (A data smoothing approach to explore and test gene-environmentinteraction in case-parent trio data)
 The package contains functions that 1) estimates gene-environment
 interaction between a SNP and a continuous non-genetic attribute by fitting
 a generalized additive model to case-parent trio data, 2) produces graphical
 displays of estimated interaction, 3) performs permutation test of
 gene-environment interaction; 4) simulates informative case-parent trios.

Package: r-cran-trip
Architecture: all
Version: 1.10.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3853
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-geodist, r-cran-mass, r-cran-raster, r-cran-reproj, r-cran-sp, r-cran-spatstat.geom, r-cran-spatstat.explore, r-cran-glue, r-cran-viridis, r-cran-traipse, r-cran-crsmeta, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-adehabitatlt, r-cran-knitr, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-lubridate, r-cran-maps, r-cran-spelling, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-trip_1.10.0-1.ca2004.1_all.deb
Size: 1713656
MD5sum: b9d8d2500b9f781f47a0f1004f40d756
SHA1: cf1dc36cff562ed8fdd8a8a87168f1f6586bba50
SHA256: 9b2acbee2805be32ef81002bdb135b0ee03e861fdf29aca7873d8c682bb69540
SHA512: a1725e7487f50133a7dfd7bc68c553798ce20ae58bb91a1695c820bca3623c06847fb03c788bc27d0d30c3f05de2b1b4dd0f76f69866be3aaf5587c466699faf
Homepage: https://cran.r-project.org/package=trip
Description: CRAN Package 'trip' (Tracking Data)
 Access and manipulate spatial tracking data, with straightforward coercion
 from and to other formats. Filter for speed and create time spent maps from
 tracking data. There are coercion methods to convert between 'trip' and
 'ltraj' from 'adehabitatLT', and between 'trip' and 'psp' and 'ppp' from
 'spatstat'. Trip objects can be created from raw or grouped data frames, and
 from types in the 'sp', sf', 'amt', 'trackeR', 'mousetrap', and other
 packages, Sumner, MD (2011)
 <https://figshare.utas.edu.au/articles/thesis/The_tag_location_problem/23209538>.

Package: r-cran-tripestimation
Architecture: all
Version: 0.0-46-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lattice, r-cran-mgcv, r-cran-reproj, r-cran-sp, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tripestimation_0.0-46-1.ca2004.1_all.deb
Size: 170164
MD5sum: 32cd7ef1817cec72f411f290bbbccd27
SHA1: bdb3450dee7a4dd3f3edaa7eff40f357e1ed7618
SHA256: ccd0a9c32c8fadcc300ed35d43068865f0af10ac0d81da6740230584e980da72
SHA512: e69adbb4c8938985fb436b6728e90ebb11635a6ed68ea9d0412da55ebae82577dcbea2a0f51b89fc9a540adb54080b708e7d422f7bb8df8fad4956e28adcca97
Homepage: https://cran.r-project.org/package=tripEstimation
Description: CRAN Package 'tripEstimation' (Metropolis Sampler and Supporting Functions for EstimatingAnimal Movement from Archival Tags and Satellite Fixes)
 Data handling and estimation functions for animal movement estimation from
 archival or satellite tags. Helper functions are included for making image
 summaries binned by time interval from Markov Chain Monte Carlo simulations.

Package: r-cran-tripler
Architecture: all
Version: 1.5.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 950
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-plyr
Suggests: r-cran-lme4, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-tripler_1.5.4-1.ca2004.1_all.deb
Size: 578112
MD5sum: bd458608a076681722729ecbfaffddd1
SHA1: 68437a64427337c3ab2207cfdfc5964c1a446895
SHA256: 239fa6125969af20893afac4bda91c1a0b63b623eff01a33a43c50cd1d229d73
SHA512: d391c3a2f4dc4f177c248c1e4c7686bd4cd18650e77df70891a663e6f3fc6ab0e439b83b5322f0e9bf32192021bf90658c3d31be6493d58baeaab79dc0982d86
Homepage: https://cran.r-project.org/package=TripleR
Description: CRAN Package 'TripleR' (Social Relation Model (SRM) Analyses for Single or MultipleGroups)
 Social Relation Model (SRM) analyses for single or multiple round-robin
 groups are performed. These analyses are either based on one manifest
 variable, one latent construct measured by two manifest variables, two
 manifest variables and their bivariate relations, or two latent constructs
 each measured by two manifest variables. Within-group t-tests for variance
 components and covariances are provided for single groups.  For multiple
 groups two types of significance tests are provided: between-groups t-tests
 (as in SOREMO) and enhanced standard errors based on Lashley and Bond (1997)
 <DOI:10.1037/1082-989X.2.3.278>. Handling for missing values is provided.

Package: r-cran-triplesmatch
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcbalance, r-cran-rlemon, r-cran-mass, r-cran-optmatch, r-cran-rlang
Suggests: r-cran-testthat, r-cran-sensitivityfull, r-cran-informedsen, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-triplesmatch_1.1.0-1.ca2004.1_all.deb
Size: 111300
MD5sum: 8b9ef15cf0cc68a6675c41bd1b631a41
SHA1: 23b21a6fdc94dc08ccdd21d09aae41ff7e9e6d9f
SHA256: 211715f7cc407ce2cd235bed91f8eb865bdecb0dafbc8fee373a468b9afdb9f1
SHA512: 17ff09ed511838e3ae4d92e12e01d51d131805f3f92c2396870b80c4637969299174cc401955839818ececd67f4cc881a597061817418b26027795f5c5ce422c
Homepage: https://cran.r-project.org/package=triplesmatch
Description: CRAN Package 'triplesmatch' (Match Triples Consisting of Two Controls and a Treated Unit orVice Versa)
 Attain excellent covariate balance by matching two treated units and one
 control unit or vice versa within strata. Using such triples, as opposed to
 also allowing pairs of treated and control units, allows easier
 interpretation of the two possible weights of observations and better
 insensitivity to unmeasured bias in the test statistic. Using triples
 instead of matching in a fixed 1:2 or 2:1 ratio allows for the match to be
 feasible in more situations.  The 'rrelaxiv' package, which provides an
 alternative solver for the underlying network flow problems, carries an
 academic license and is not available on CRAN, but may be downloaded from
 'GitHub' at <https://github.com/josherrickson/rrelaxiv/>.  The 'Gurobi'
 commercial optimization software is required to use the two functions
 [infsentrip()] and [triplesIP()]. These functions are not essential to the
 main purpose of this package. A free academic license can be obtained at
 <https://www.gurobi.com/features/academic-named-user-license/>.  The
 'gurobi' R package can then be installed following the instructions at
 <https://www.gurobi.com/documentation/9.1/refman/ins_the_r_package.html>.

Package: r-cran-triplot
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dalex, r-cran-glmnet, r-cran-ggdendro, r-cran-patchwork
Suggests: r-cran-testthat, r-cran-knitr, r-cran-randomforest, r-cran-mlbench, r-cran-ranger, r-cran-gbm, r-cran-covr
Filename: pool/dists/focal/main/r-cran-triplot_1.3.0-1.ca2004.1_all.deb
Size: 159356
MD5sum: fa33935e41fbda12e8643d4d544211af
SHA1: c0b92e33444705369af47d2a89cfff7b1877a667
SHA256: a06db633bd87b549ca7661ac4f2e6bf9c1d20ff65b1912593de4e9e8925dd7db
SHA512: 08307aa1a96a19344755aac534451a1cfc8fd8a4a793f31bc6d2a65130589e7bd8a2af402dec91f2796598142ec115e32b03d4e70b79f032361e52851bd1f632
Homepage: https://cran.r-project.org/package=triplot
Description: CRAN Package 'triplot' (Explaining Correlated Features in Machine Learning Models)
 Tools for exploring effects of correlated features in predictive models. The
 predict_triplot() function delivers instance-level explanations that
 calculate the importance of the groups of explanatory variables. The
 model_triplot() function delivers data-level explanations. The generic plot
 function visualises in a concise way importance of hierarchical groups of
 predictors. All of the the tools are model agnostic, therefore works for any
 predictive machine learning models. Find more details in Biecek (2018)
 <arXiv:1806.08915>.

Package: r-cran-tripsanddipr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tripsanddipr_0.1.0-1.ca2004.1_all.deb
Size: 17068
MD5sum: 6c7e7a7fed750aa0b4987b91b657581b
SHA1: 721f5ee0beee9104886b65c83f9f56488c5c2f69
SHA256: e5190b132821e893e95d590ad7faf227c13f436016ec6e6736c2213e5834c6e4
SHA512: f9bc4d51a0eaec69c6aefde4ec7ab0e64ace5f99c086b6a0864b0b7b0e635f15fb1a7d2450dc716cc30b50627c7c031c90d51aca5c7d36deaac34faa87d91f73
Homepage: https://cran.r-project.org/package=tripsAndDipR
Description: CRAN Package 'tripsAndDipR' (Identification of 2n and 3n Samples from Amplicon SequencingData)
 Uses read counts for biallelic single nucleotide polymorphisms (SNPs) to
 compare the likelihoods for the observed read counts given that a sample is
 either diploid or triploid. It allows parameters to be specified to account
 for sequencing error rates and allelic bias. For details of the algorithm,
 please see Delomas (2019) <doi:10.1111/1755-0998.13073>.

Package: r-cran-triversity
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-data.tree
Filename: pool/dists/focal/main/r-cran-triversity_1.0-1.ca2004.1_all.deb
Size: 64148
MD5sum: 155bedd3ed61ca633d03732fe521208b
SHA1: b15226e9ecc38e935a59e6c96b3f144862f90110
SHA256: d4e77c7f8f5c5d67c7371c17cc9ebc34c3326a505bad1e258677829f46f5dd14
SHA512: 0ca753c9d9059734e074fede9ecc0940d24684273153db4f27576b0f91449947baa31afcada32ba9ffd7ab04284531aa02ac48c07d03baf2c7897d645dc96234
Homepage: https://cran.r-project.org/package=triversity
Description: CRAN Package 'triversity' (Diversity Measures on Tripartite Graphs)
 Computing diversity measures on tripartite graphs. This package first
 implements a parametrized family of such diversity measures which apply on
 probability distributions. Sometimes called "True Diversity", this family
 contains famous measures such as the richness, the Shannon entropy, the
 Herfindahl-Hirschman index, and the Berger-Parker index. Second, the package
 allows to apply these measures on probability distributions resulting from
 random walks between the levels of tripartite graphs. By defining an initial
 distribution at a given level of the graph and a path to follow between the
 three levels, the probability of the walker's position within the final
 level is then computed, thus providing a particular instance of diversity to
 measure.

Package: r-cran-trmf
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-limsolve, r-cran-generics
Suggests: r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-trmf_0.2.1-1.ca2004.1_all.deb
Size: 127984
MD5sum: 7a948f8c03fa67b9b40898a87a4ab828
SHA1: be4246a330fd8fe6fe11bc36ee23f37b7f04fcda
SHA256: 6ae06e83c6b5a7277e619d0d31c16681616e81fa350953e48bc82a3425052362
SHA512: d4b6d9501a5bff641cb552919f4db780affd3b86cd77cfcb23b021aa90dc81bbf9dd237056f4b1e74d2e81c034118c579cf3badfb2530ad5b439ece2c91c66de
Homepage: https://cran.r-project.org/package=TRMF
Description: CRAN Package 'TRMF' (Temporally Regularized Matrix Factorization)
 Functions to estimate temporally regularized matrix factorizations (TRMF)
 for forecasting and imputing values in short but high-dimensional time
 series. Uses regularized alternating least squares to compute the
 factorization, allows for several types of constraints on matrix factors and
 natively handles weighted and missing data.

Package: r-cran-trnslate
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-trnslate_0.0.3-1.ca2004.1_all.deb
Size: 37440
MD5sum: de67c0d57da646b84231acb382d682d8
SHA1: e8f3d99853251ccbea200f2b1d6dc9d4046f7eae
SHA256: 6b73a42ed2c2d32d9ed2d5272d5e7df0ff011bbb77b72136a2af3dfaae4aa4a2
SHA512: feae9df71208e684216546db07408c5167cd441ff4f954e553500561cc855fe1fbd453e2fd67c011baa0203587c4bdbd3143347a411dcb87e30e9c6c94d19bb5
Homepage: https://cran.r-project.org/package=tRnslate
Description: CRAN Package 'tRnslate' (Translate R Code in Source Files)
 Evaluate inline or chunks of R code in template files and replace with their
 output modifying the resulting template.

Package: r-cran-troopdata
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 959
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-furrr, r-cran-tidyselect, r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-viridis, r-cran-ggplot2, r-cran-countrycode, r-cran-tidyr, r-cran-stringr, r-cran-haven, r-cran-maps, r-cran-pdftools
Filename: pool/dists/focal/main/r-cran-troopdata_1.0.3-1.ca2004.1_all.deb
Size: 795764
MD5sum: 52a8be996ba85a57680ef5829483c8f0
SHA1: 3db5a2697ad8705e711e6f82636c3ad6fedb2d58
SHA256: 789aaf376d2402830e06b6182ba8128b97afe25aec0afc0ec38192f222182253
SHA512: e3aaae1f266b1738cb382da49683e0e8297bbb97af8d0b4488927ae9f26ee4659f7b8ac4c4ad3ece37077730df36560c4bc7fefc3ec388b9359d88fead1a7628
Homepage: https://cran.r-project.org/package=troopdata
Description: CRAN Package 'troopdata' (Tools for Analyzing Cross-National Military Deployment andBasing Data)
 These functions generate data frames on troop deployments and military
 basing using U.S. Department of Defense data on overseas military
 deployments. This package provides functions for pulling country-year troop
 deployment and basing data. Subsequent versions will hopefully include
 cross-national data on deploying countries.

Package: r-cran-tropalgebra
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tropalgebra_0.1.1-1.ca2004.1_all.deb
Size: 43860
MD5sum: cab5e4772b3371279bc15dcb5d2c8b95
SHA1: 795f84ca82e3655bc7001ea30879b49ae1623edf
SHA256: 30e8828007295fd3666d75795336fb5e97cbb245846de5667b78e150540036ea
SHA512: 3e232c211643d107eed971c9ceac733c9b0870bf80f4db4e1f40e8b869af02e9c6baa82d7f3aa8a547021d47f9ed5ff16b5d72f135127ec8b7d4775e95b00983
Homepage: https://cran.r-project.org/package=tropAlgebra
Description: CRAN Package 'tropAlgebra' (Tropical Algebraic Functions)
 It includes functions like tropical addition, tropical multiplication for
 vectors and matrices. In tropical algebra, the tropical sum of two numbers
 is their minimum and the tropical product of two numbers is their ordinary
 sum. For more information see also I. Simon (1988) Recognizable sets with
 multiplicities in the tropical semi ring: Volume 324 Lecture Notes I
 Computer Science, pages 107-120 <doi: 10.1007/BFb0017135>.

Package: r-cran-tropfishr
Architecture: all
Version: 1.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2248
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-msm, r-cran-reshape2, r-cran-mass, r-cran-gensa, r-cran-ga, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-tropfishr_1.6.6-1.ca2004.1_all.deb
Size: 1671348
MD5sum: 9c82f1317830af31c6deaba329750e22
SHA1: 7f0cb6f73b7f6d86b6b3231b5acaa3c0dedcbdd3
SHA256: dff1ee1c0c7e8b879ae081afaedc15cf1691327dd4e61fe15b239a47b5e09d0a
SHA512: b1d621ab05286cc4f8b0f4dc7682e2b384745f8cb53d63df44da1c19a08a7b4527e1d8d8156d396070979647239256162df4953d037062db9a2c392c27295ab1
Homepage: https://cran.r-project.org/package=TropFishR
Description: CRAN Package 'TropFishR' (Tropical Fisheries Analysis)
 A compilation of fish stock assessment methods for the analysis of
 length-frequency data in the context of data-poor fisheries. Includes
 methods and examples included in the FAO Manual by P. Sparre and S.C. Venema
 (1998), "Introduction to tropical fish stock assessment"
 (<https://openknowledge.fao.org/server/api/core/bitstreams/bc7c37b6-30df-49c0-b5b4-8367a872c97e/content>),
 as well as other more recent methods.

Package: r-cran-trophicposition
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2475
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-coda, r-cran-data.table, r-cran-ggplot2, r-cran-gridextra, r-cran-hdrcde, r-cran-mcmcglmm, r-cran-plyr, r-cran-rjags, r-cran-rcolorbrewer
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trophicposition_0.8.0-1.ca2004.1_all.deb
Size: 1779216
MD5sum: efbaaef497b7b9c18994ae3591935a83
SHA1: e4f48af24151227ba761c5d68199a3c25ea6125a
SHA256: 2628e15fc1edb0dd309027bbd35f48b9bd26c9892140ec049a8e130676fe3c2c
SHA512: 5c98a189b03307a47cb3e7a1d1dfaaf9fa2aa94cb5a97d82a6346ee375aa8a08680c4244f3eeaa99a162572b32d6fcae8addbe15063e0f18442baeca14274624
Homepage: https://cran.r-project.org/package=tRophicPosition
Description: CRAN Package 'tRophicPosition' (Bayesian Trophic Position Estimation with Stable Isotopes)
 Estimates the trophic position of a consumer relative to a baseline species.
 It implements a Bayesian approach which combines an interface to the 'JAGS'
 MCMC library of 'rjags' and stable isotopes. Users are encouraged to test
 the package and send bugs and/or errors to
 trophicposition-support@googlegroups.com.

Package: r-cran-trotter
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trotter_0.6-1.ca2004.1_all.deb
Size: 154112
MD5sum: 07ffdc0d19e0ead274f56d8c213de12b
SHA1: 3fcc4d438fa13521bc5e5a01eb7ac3641424d1b3
SHA256: b47368ca95b2487f3279fa916c5032629fbb4ebe61536b68e7ef849650132dc1
SHA512: c9522e119bae8f8ee22ed8680545cb80ea03db0c2766ca134495c766acff5ea167c0e69a7f76a309a68849edb1bc9385e14a20ff2cd877b6b6b9dfbb17bbb2f8
Homepage: https://cran.r-project.org/package=trotter
Description: CRAN Package 'trotter' (Pseudo-Vectors Containing All Permutations, Combinations andSubsets of Objects Taken from a Vector)
 Class definitions and constructors for pseudo-vectors containing all
 permutations, combinations and subsets of objects taken from a vector.
 Simplifies working with structures commonly encountered in combinatorics.

Package: r-cran-troubblme4solver
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 406
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4
Suggests: r-cran-nlme, r-cran-ggplot2, r-cran-minqa
Filename: pool/dists/focal/main/r-cran-troubblme4solver_0.1.2-1.ca2004.1_all.deb
Size: 354352
MD5sum: a44c134150f240d769d5ab5efcfed51d
SHA1: 330ac6105a64f43a185bdc57498477adc6aa92ec
SHA256: 49968c5e21c201b4292231d59068520c7a85607734cd536bdff833885f6b877b
SHA512: fda8f9419fc23bf94ff8da1672f1af04c9da723edde072855c187b7cab3c3f24ae0d0bebc514b86d8230cf8651fcb95b396655b650136509f2c89260ad9e1751
Homepage: https://cran.r-project.org/package=trouBBlme4SolveR
Description: CRAN Package 'trouBBlme4SolveR' (Troubles Solver for 'lme4')
 The main function of the package aims to update 'lmer()'/'glmer()' models
 depending on their warnings, so trying to avoid convergence and singularity
 problems.

Package: r-cran-troublemaker
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-purrr, r-cran-terra
Filename: pool/dists/focal/main/r-cran-troublemaker_0.0.1-1.ca2004.1_all.deb
Size: 49260
MD5sum: 1614d64a53f6af0a39c65d6bd70137af
SHA1: 4fcf04c9075528e3014ecf60098953dc854fb50b
SHA256: 9d5f3baada0f17a9d5111ecfe8767d1a4fe586c4b966f62b8531c341381fa993
SHA512: 7134654985c14dddaed75c0731dbfaf61642edc1381d39c6c15b7bbe6023bc3ae7f8ac839d70eb9170a26116db9c136df066d208e80f30818aa00cf96a809709
Homepage: https://cran.r-project.org/package=TroublemakeR
Description: CRAN Package 'TroublemakeR' (Generates Spatial Problems in R for 'AMPL')
 Provides methods for generating .dat files for use with the 'AMPL' software
 using spatial data, particularly rasters. It includes support for various
 spatial data formats and different problem types. By automating the process
 of generating 'AMPL' datasets, this package can help streamline optimization
 workflows and make it easier to solve complex optimization problems. The
 methods implemented in this package are described in detail in a publication
 by Fourer et al. (<doi:10.1287/mnsc.36.5.519>).

Package: r-cran-trps
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brms, r-cran-cli, r-cran-dplyr, r-cran-lifecycle
Suggests: r-cran-bayesplot, r-cran-ggdist, r-cran-ggplot2, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat, r-cran-tidybayes, r-cran-tidyr, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-trps_0.1.0-1.ca2004.1_all.deb
Size: 296076
MD5sum: 5c5ebd088c191a78eb2aecaec9536291
SHA1: 4610a1b531cfb9813b0d6df51fa6a8890ca8d681
SHA256: 186036b607a0df634e88decf8a2b8ee2105589cb47afa557c59d96eda6e96aed
SHA512: 2449a4f74116220f50d1f680da9d4c50bb290a107b5242799ec22ff1242101ef1dd659ee7bfde98531a92c9a576ea0eb2e053df6e5d23dc1b6108f8c6dd39d57
Homepage: https://cran.r-project.org/package=trps
Description: CRAN Package 'trps' (Bayesian Trophic Position Models using 'stan')
 Bayesian trophic position models using 'stan' by leveraging 'brms' for
 stable isotope data. Trophic position models are derived by using equations
 from Post (2002) <doi:10.1890/0012-9658(2002)083[0703:USITET]2.0.CO;2>,
 Vander Zanden and Vadeboncoeur (2002)
 <doi:10.1890/0012-9658(2002)083[2152:FAIOBA]2.0.CO;2>, and Heuvel et al.
 (2024) <doi:10.1139/cjfas-2024-0028>.

Package: r-cran-trtcombo.factorialexp.sr
Architecture: all
Version: 4.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trtcombo.factorialexp.sr_4.0.4-1.ca2004.1_all.deb
Size: 11520
MD5sum: 4da4f57b665f06143ac666d46a8c00c9
SHA1: 8c190e470a725a7e77ce598adeb3924f3eebffdf
SHA256: 8e39d6642bdbfceb00d452b135e3bc87b2414fbe7cbb8832f9ab950c71e573ff
SHA512: 3c8c080cf28f8e0ae85036b980a566610b71c7cd6738372790c702d5e0523c37f57c0f89444f2441f442210af102cfd76a7dc7628193d1d0ece3a6907274aede
Homepage: https://cran.r-project.org/package=TrtCombo.FactorialExp.SR
Description: CRAN Package 'TrtCombo.FactorialExp.SR' (Generation of Treatment Combination (in Standard Order) in 2^nFactorial Experiment)
 Gives the required 2^n treatment combinations in a 2^n symmetric factorial
 experiment in their respective standard order.

Package: r-cran-trtf
Architecture: all
Version: 0.4-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlt, r-cran-partykit, r-cran-tram, r-cran-formula, r-cran-sandwich, r-cran-variables, r-cran-libcoin
Suggests: r-cran-survival, r-cran-th.data, r-cran-coin, r-cran-atr, r-cran-matrix, r-cran-colorspace, r-cran-inum, r-cran-lattice, r-cran-latticeextra, r-cran-memisc, r-cran-multcomp, r-cran-quantregforest, r-cran-appliedpredictivemodeling, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-trtf_0.4-3-1.ca2004.1_all.deb
Size: 362776
MD5sum: e861be62d7a346bc27aefc84dfc05bcc
SHA1: 559e6f62628b7505a574916232ea6e9067c2d082
SHA256: 75548decd341db75bf1938ab10bdb7496dd80ddf3ee4dd2503d556830e8b8ddb
SHA512: a9a3ed0fdae89fd62c538a2f7db380a8bbbfe4328ce1a8682b48cd20af903e42a5757eec77d5d667ea21ef819443d7f4408413e6306ab60400d933473c9ede30
Homepage: https://cran.r-project.org/package=trtf
Description: CRAN Package 'trtf' (Transformation Trees and Forests)
 Recursive partytioning of transformation models with corresponding random
 forest for conditional transformation models as described in 'Transformation
 Forests' (Hothorn and Zeileis, 2021, <doi:10.1080/10618600.2021.1872581>)
 and 'Top-Down Transformation Choice' (Hothorn, 2018,
 <DOI:10.1177/1471082X17748081>).

Package: r-cran-trud
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-trud_0.1.0-1.ca2004.1_all.deb
Size: 579396
MD5sum: 09feee416c9631a161cb83b5c93a3225
SHA1: 4d81463adec43fed66045642069f72b3e2a14d58
SHA256: 5cd9bbbf31dd469f97aa2a48b1a5a49b6761b9b3114297b0aa239a329ea3d4b1
SHA512: 3ca10498fe7cb8ea2b4a62b8e4c273b73f3358500a38b47f19d11804c1935969dafa7839c7599ed04fc012b03e078863030ce984899664b24a99ca4726b74129
Homepage: https://cran.r-project.org/package=trud
Description: CRAN Package 'trud' (Query the 'NHS TRUD API')
 A convenient R interface to the 'National Health Service (NHS) Technology
 Reference Update Distribution (TRUD) API'. Retrieve available releases for
 items that you are subscribed to and download these with ease.  For more
 information on the API, see
 <https://isd.digital.nhs.uk/trud/users/guest/filters/0/api>.

Package: r-cran-truelies
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hdrcde
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-mass, r-cran-purrr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-truelies_0.2.0-1.ca2004.1_all.deb
Size: 71216
MD5sum: f574ef8ce2ad86e30017950e4514c48a
SHA1: 87dc4bbd6331cd43e758cfb3a15c7e564334c6f7
SHA256: 70c3bc18ef937911ae1bfaeacdc1f9b47fa67c844d4756a47b25c70328f71f0b
SHA512: f7baf6436e476ade4ea662ea0f3fc59cd02d988311f31af32045ddb9fd4cd259116fb780960cbb9d5fd7c8172e68ee04ba3c05c98c5951c08bc362dd75d7a75e
Homepage: https://cran.r-project.org/package=truelies
Description: CRAN Package 'truelies' (Bayesian Methods to Estimate the Proportion of Liars in CoinFlip Experiments)
 Implements Bayesian methods, described in Hugh-Jones (2019)
 <doi:10.1007/s40881-019-00069-x>, for estimating the proportion of liars in
 coin flip-style experiments, where subjects report a random outcome and are
 paid for reporting a "good" outcome.

Package: r-cran-trueskill
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trueskill_0.1-1.ca2004.1_all.deb
Size: 258156
MD5sum: 4e36fa3ab0a9f85c4f6ed3b48adf6da6
SHA1: 19ba37acbbb86684cd224f197838dad76d29f4ce
SHA256: 4ad6d5db6ced281d3e284fbeab7b837a30e8efc2342bf05469858ed291bc2084
SHA512: b9371ec4cc7c5cdecc98185b6fec0a17f9c4d6a6fa2accbd0843109e940b9f25ea4dfd525f1d3479d26d7b4248865b412e040b3c926a09f572e7b76b7ba86879
Homepage: https://cran.r-project.org/package=trueskill
Description: CRAN Package 'trueskill' (Implementation the TrueSkill algorithm in R)
 An implementation of the TrueSkill algorithm (Herbrich, R., Minka, T. and
 Grapel, T) in R; a Bayesian skill rating system with inference by
 approximate message passing on a factor graph. Used by Xbox to rank gamers
 and identify appropriate matches.
 http://research.microsoft.com/en-us/projects/trueskill/default.aspx Current
 version allows for one player per team. Will update as time permits.
 Requires R version 3.0 as it is written with Reference Classes.  URL:
 https://github.com/bhoung/trueskill-in-r Acknowledgements to Doug Zongker
 and Heungsub Lee for their python implementations of the algorithm and for
 the liberal reuse of Doug's code comments (@dougz and @sublee on github).

Package: r-cran-trueskillthroughtime
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 355
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hash
Filename: pool/dists/focal/main/r-cran-trueskillthroughtime_1.0.0-1.ca2004.1_all.deb
Size: 289836
MD5sum: 508fa176054de557e28e0763c344303a
SHA1: ed7b459801686eefaf8bb9497eb39cb77ef8d6a4
SHA256: a58836d9b4ad7dcf7fe545f36e932b329f09ae114106b1df3bde4bd5a6ee7a8b
SHA512: 9508678694084063e0d69e367ad79ecdaa7d89b58c31c2e19f98b98a52f71b9eedee09462f19cbdcf0916fb699e2614dbb680d8fe519a83e73b0373a220e3fbb
Homepage: https://cran.r-project.org/package=TrueSkillThroughTime
Description: CRAN Package 'TrueSkillThroughTime' (Skill Estimation Based on a Single Bayesian Network)
 Most estimators implemented by the video game industry cannot obtain
 reliable initial estimates nor guarantee comparability between distant
 estimates. TrueSkill Through Time solves all these problems by modeling the
 entire history of activities using a single Bayesian network allowing the
 information to propagate correctly throughout the system. This algorithm
 requires only a few iterations to converge, allowing millions of
 observations to be analyzed using any low-end computer.  Landfried G,
 Mocskos E (2025). "TrueSkill Through Time: Reliable Initial Skill Estimates
 and Historical Comparability with Julia, Python, and R."
 <doi:10.18637/jss.v112.i06>.  The core ideas implemented in this project
 were developed by Dangauthier P, Herbrich R, Minka T, Graepel T (2007).
 "Trueskill through time: Revisiting the history of chess.".

Package: r-cran-truh
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rfast, r-cran-cluster, r-cran-doparallel, r-cran-foreach, r-cran-iterators, r-cran-fpc
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-truh_1.0.0-1.ca2004.1_all.deb
Size: 55240
MD5sum: 6813723910cd53b242cbbe3745cd22e8
SHA1: 17ea2ea7e6fe923544d809b6ced57e1845013cde
SHA256: cc6a65fe6ac1763786b266020d2ae7bab818a976dc70c96c586d038a3b1334fd
SHA512: 4a2d542e28818c0c18bf3520b0c03f913c48edb81d2e786e4d623b40d0075b88cef9ab080f5ad18787b9cf287a0da27199711e41e9a844b3e44bc8f65f2cc9a8
Homepage: https://cran.r-project.org/package=truh
Description: CRAN Package 'truh' (Two-Sample Nonparametric Testing Under Heterogeneity)
 Implements the TRUH test statistic for two sample testing under
 heterogeneity. TRUH incorporates the underlying heterogeneity and imbalance
 in the samples, and provides a conservative test for the composite null
 hypothesis that the two samples arise from the same mixture distribution but
 may differ with respect to the mixing weights. See Trambak Banerjee, Bhaswar
 B. Bhattacharya, Gourab Mukherjee Ann. Appl. Stat. 14(4): 1777-1805
 (December 2020). <DOI:10.1214/20-AOAS1362> for more details.

Package: r-cran-trumpetplots
Architecture: all
Version: 0.0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-trumpetplots_0.0.1.1-1.ca2004.1_all.deb
Size: 196028
MD5sum: 47fa147c1489129e6d59f100a48b9524
SHA1: 001139ea43fb80af6d94aa0a454102de8a4a1647
SHA256: a7838489b85546fa7c72a85afe365aeaf90233203de1aeab903bca6c2aabedca
SHA512: 91a8bb5364846d74964afce3da291aa200e3b29c20d91fc98a68ff3460ff7ac0263af98f4f2436199bca496cfdfad189e2c3cbd69f82aa67ff64a3882cc296d7
Homepage: https://cran.r-project.org/package=TrumpetPlots
Description: CRAN Package 'TrumpetPlots' (Visualization of Genetic Association Studies)
 Visualizes the relationship between allele frequency and effect size in
 genetic association studies. The input is a data frame containing
 association results. The output is a plot with the effect size of risk
 variants in the Y axis, and the allele frequency spectrum in the X axis.
 Corte et al (2023) <doi:10.1101/2023.04.21.23288923>.

Package: r-cran-truncaipw
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 145
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-survival, r-cran-survpen
Filename: pool/dists/focal/main/r-cran-truncaipw_1.0.1-1.ca2004.1_all.deb
Size: 111848
MD5sum: 5a2fe465ef127662a4c5e2957c8dbc8d
SHA1: 05c74128e6f2000447e1a96fd62d52d3b8e4b77d
SHA256: cf818f5ed761da77e331f0a7cc8bd94034ffa4fe76f44fb7c7f168a5318a107a
SHA512: 51a2f8d8f1ea649a82e270282328e981f72cab2ed0c15fe0652779e77c5751933b04a654cffb33f2316033deb26d971c5064fc6e7789388c004c6a6534053da2
Homepage: https://cran.r-project.org/package=truncAIPW
Description: CRAN Package 'truncAIPW' (Doubly Robust Estimation under Covariate-Induced Dependent LeftTruncation)
 Doubly robust estimation for the mean of an arbitrarily transformed survival
 time under covariate-induced dependent left truncation and noninformative
 right censoring. The functions truncAIPW(), truncAIPW_cen1(), and
 truncAIPW_cen2() compute the doubly robust estimators under the scenario
 without censoring and the two censoring scenarios, respectively. The package
 also contains three simulated data sets 'simu', 'simu_c1', and 'simu_c2',
 which are used to illustrate the usage of the functions in this package.
 Reference: Wang, Y., Ying, A., Xu, R. (2022) "Doubly robust estimation under
 covariate-induced dependent left truncation" <arXiv:2208.06836>.

Package: r-cran-truncdist
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-evd
Filename: pool/dists/focal/main/r-cran-truncdist_1.0-2-1.ca2004.1_all.deb
Size: 33536
MD5sum: 50921553c9b430e4b41c00464bee0b6c
SHA1: 7c1e60109b7a2de57bc061b26038a327b928d2ae
SHA256: ee10c2a350455637d1531fb475a20f27a52fbbe99d49f7ede05240e3dbc07bcb
SHA512: b8997c294211d75275960db95c220941bc06e083d7d2b3ea62a98e7b6a3cea03f2abe6fa5e277369569e9804ede5d4f991e115e1a0890416a17dbc195e4342d8
Homepage: https://cran.r-project.org/package=truncdist
Description: CRAN Package 'truncdist' (Truncated Random Variables)
 A collection of tools to evaluate probability density functions, cumulative
 distribution functions, quantile functions and random numbers for truncated
 random variables.  These functions are provided to also compute the expected
 value and variance. Nadarajah and Kotz (2006) developed most of the
 functions. QQ plots can be produced.  All the probability functions in the
 stats, stats4 and evd packages are automatically available for truncation..

Package: r-cran-truncexpfam
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-invgamma, r-cran-rmutil
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-truncexpfam_1.2.1-1.ca2004.1_all.deb
Size: 303580
MD5sum: 51ca4e84b5d7254c71852b38e47c55f6
SHA1: 416a16dd65fd0b8fec7f0b154cc02ab3affca6de
SHA256: 75ec3d024942dd04de2d80444625618c510db0b493c2420cd50df0b4d45151ff
SHA512: 1ad2867f586b9cbd445ff930df26fe432d391a5c0f57b51d25d15b012fbbcffceedbd01deb92cdd0e1dfbfc4a7bf3e41678123ace7b0317c41111b58f74167dd
Homepage: https://cran.r-project.org/package=TruncExpFam
Description: CRAN Package 'TruncExpFam' (Truncated Exponential Family)
 Handles truncated members from the exponential family of probability
 distributions. Contains functions such as rtruncnorm() and dtruncpois(),
 which are truncated versions of rnorm() and dpois() from the stats package
 that also offer richer output containing, for example, the distribution
 parameters. It also provides functions to retrieve the original distribution
 parameters from a truncated sample by maximum-likelihood estimation.

Package: r-cran-truncreg
Architecture: all
Version: 0.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maxlik
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-truncreg_0.2-5-1.ca2004.1_all.deb
Size: 36560
MD5sum: 3bc457e42838e953c902e03fb3a97787
SHA1: d27ca458fecd90701842e835c6e2106d65aea969
SHA256: 4e092806e77160b8ebb334c608429ee983cd1bfde469920654f8e566f48cc78c
SHA512: d0b95bc4ebbc0e7ce4162c60ed2eeedcd5b0892cf2224aa3c47d2e89ca407a59d1623acbc0f44fb98c5f353e45ad7787e0b22cdd6737394f9bb42c9f9ca81f9d
Homepage: https://cran.r-project.org/package=truncreg
Description: CRAN Package 'truncreg' (Truncated Gaussian Regression Models)
 Estimation of models for truncated Gaussian variables by maximum likelihood.

Package: r-cran-truncsp
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 228
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncreg, r-cran-boot
Filename: pool/dists/focal/main/r-cran-truncsp_1.2.2-1.ca2004.1_all.deb
Size: 180924
MD5sum: ef010a30f34acad8c36cf92528e88587
SHA1: 91eba38b9956642635ea85d671527d7ee11561e1
SHA256: 6826cada7b169bdebb00ca44e2fb1c2f2444ddf6a22bbe7c81a40276aeaa0e33
SHA512: cf729c065033bd05d9c5589d408641339808716f8dbffb6c55d2c247f94cd7bb6b1d96165331792f2e97084441f3dc5c4a0504fed616d2ff9c0eb5d57588c2c2
Homepage: https://cran.r-project.org/package=truncSP
Description: CRAN Package 'truncSP' (Semi-parametric estimators of truncated regression models)
 Semi-parametric estimation of truncated linear regression models

Package: r-cran-trust
Architecture: all
Version: 0.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-trust_0.1-8-1.ca2004.1_all.deb
Size: 215536
MD5sum: b3a97d84958ab848ed98ae758e341d54
SHA1: b61415c5514254c463f6db3ca37399d237a1f9c7
SHA256: 5daa0f5739cedfa4f41ab89d577873199cc568c3b79b9e5c033b5237890e5405
SHA512: 198407d1781d772bc325dd72fc75fe865c750c093ecd39218014882d5850ffe852472c8bf555d53f270e076620f5be102e83e923bf2894ea3de5604ff095821b
Homepage: https://cran.r-project.org/package=trust
Description: CRAN Package 'trust' (Trust Region Optimization)
 Does local optimization using two derivatives and trust regions.  Guaranteed
 to converge to local minimum of objective function.

Package: r-cran-trustedtimestamping
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-digest, r-cran-jsonlite, r-cran-httr
Filename: pool/dists/focal/main/r-cran-trustedtimestamping_0.2.6-1.ca2004.1_all.deb
Size: 36284
MD5sum: f49636709e72f3b809304e31fa0a7b6a
SHA1: 30f8fea2f438de969c5e18e76563ecb749c5133d
SHA256: f2affbf11638e9648acd177a3bde778335ea98bd05f5ecb28e50169eb514c000
SHA512: ab3e9f547c1b4c35d6424c2e3df897174ee7a9f404cd3aa6b8264598a33da019fff6437a5c581b101d9dccc96af078eb1115ecc45e96340653b0fe4f7c41cef4
Homepage: https://cran.r-project.org/package=trustedtimestamping
Description: CRAN Package 'trustedtimestamping' (Create Trusted Timestamps of Datasets and Files)
 Trusted Timestamps (tts) are created by incorporating a hash of a file or
 dataset into a transaction on the decentralized blockchain (Stellar
 network).  The package makes use of a free service provided by
 <https://stellarapi.io>.

Package: r-cran-trustmebro
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tibble, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-trustmebro_1.0.0-1.ca2004.1_all.deb
Size: 77624
MD5sum: 4aeafacc8e13aab8a32a2b297d7874e0
SHA1: 1c726c824705caf7042d43b86500ea9164e41241
SHA256: 770358398ebda7fe594dec1e9212ea3a027b96aeb4d3f4ce382b0c2e2cc9fe1a
SHA512: 4b126d3ec9c40647d5ef68998b2a812327a11949ed45fe6e23f03af66cfebe6419a9c4e458b65c9c5a90321c59fdfd869530970b065b82b29ae766d9e133d04a
Homepage: https://cran.r-project.org/package=trustmebro
Description: CRAN Package 'trustmebro' (Inspect and Clean Subject-Generated ID Codes and Related Data)
 Makes data wrangling with ID-related aspects more comfortable.  Provides
 functions that make it easy to inspect various subject-generated ID codes
 (SGIC) for plausibility.  Also helps with inspecting other common
 identifiers, ensuring that your data stays clean and reliable.

Package: r-cran-trustvdj
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 887
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-data.table, r-cran-rvest
Suggests: r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-trustvdj_0.1.0-1.ca2004.1_all.deb
Size: 843216
MD5sum: b7d7dd7aed4ece756164b99d8770c486
SHA1: decf610cecb5a3de22dd1db307c9c83b87820175
SHA256: ad903cf704a28c81284afae8373d3c60493681ac51b5cc143c7c480e0155a5fb
SHA512: c73fab706f9a658c4191dae3b34646c352201cc45e878738b1eceec8c802b8a1d428b35d1ed2206d57cca40defae67ad01f2c95365c8c8958208127456b26d73
Homepage: https://cran.r-project.org/package=TrustVDJ
Description: CRAN Package 'TrustVDJ' (Tools for Immune Repertoire Analysis)
 A toolkit for read and prepare immune repertoire data. 'TrustVDJ' package
 focuses on the reading and processing of 'TRUST4' and '10x cellranger'
 software output results by using 'ReadTrust' and 'Read10x' functions,
 respectively, and also provides a convenience function
 'build_IMGT_reference' to download the 'IMGT' database reference and split
 its sequences by species.

Package: r-cran-truthiness
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 909
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ordinal, r-cran-magrittr, r-cran-dplyr, r-cran-mass, r-cran-tibble, r-cran-tidyr, r-cran-lme4, r-cran-readr, r-cran-purrr, r-cran-rmarkdown, r-cran-emmeans, r-cran-dt, r-cran-rdpack, r-cran-ggplot2, r-cran-forcats, r-cran-ez
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-truthiness_1.2.5-1.ca2004.1_all.deb
Size: 691352
MD5sum: 36eb7ff4213433d570166f3b5b4c3cc3
SHA1: 512b4597218975130b8a9b4d5d8d55af71bf6fa8
SHA256: 4c520d40d5c7c3984f5d57967e183acd0c287ec37bb8a13fc985807e9ff80e5d
SHA512: 7dc62eb20c428ad5f1345400dc4f08ab4cae859f60e9e872509e413c4000f7e05fe1869ba9a0c9713afd7de2832fc191ea07ac0b41e5bfc696c2e9c821d81182
Homepage: https://cran.r-project.org/package=truthiness
Description: CRAN Package 'truthiness' (Illusory Truth Longitudinal Study)
 Data and functions for analyzing and simulating illusory truth datasets,
 developed as part of a longitudinal study by Henderson, Barr, and Simons
 (2020). The illusory truth effect is the observation that people rate
 repeated statements as more likely to be true than novel statements. We
 tested the trajectory of the illusory truth effect by collecting truth
 ratings for statements repeated across four time intervals: immediately, one
 day, one week, and one month following initial presentation. The package
 contains the anonymized data from the study along with stimulus materials,
 as well as functions for analyzing the data, running simulations, and
 calculating power. Further details about the project are available at
 <https://osf.io/nvugt/>, which includes Stage 1 of the Registered Report at
 the Journal of Cognition (<https://osf.io/vqnx2/>).

Package: r-cran-trycatchlog
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-futile.logger, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-trycatchlog_1.3.1-1.ca2004.1_all.deb
Size: 119596
MD5sum: 31ab2a7e6a5dadd4434a3c03284c87be
SHA1: 7075c0d02ddf3c698870b1bbb5d38fa447d0a90f
SHA256: 569df2d55250f1b380d6b80ad8626b7c8162589049a01414dfa0d7a367e9174e
SHA512: 258811fff6985e9034451d43964ec5fb8d257465503b710aab59f64d70c7d4448d350ba44d95fe08733c53c19ce4539ab5239972f99e1ef35942fdf46ca45cf3
Homepage: https://cran.r-project.org/package=tryCatchLog
Description: CRAN Package 'tryCatchLog' (Advanced 'tryCatch()' and 'try()' Functions)
 Advanced tryCatch() and try() functions for better error handling (logging,
 stack trace with source code references and support for post-mortem analysis
 via dump files).

Package: r-cran-tryr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tryr_0.1.1-1.ca2004.1_all.deb
Size: 37396
MD5sum: fc9509e747781d44110e0045074012cc
SHA1: 90852103f1a0f6c9450dd73fc0b6de54718a7019
SHA256: b8ef10b7f629c40d624950c4fc9072d53ee42a728e9ee71059c777769c45ffe6
SHA512: 36cf8607e2895f25608bcd891170d5e15e1b87bf5aaaf42998cae681614b25453c3b204f5299f47af511e8c2c23dc7901338f64db8af34ed0c9ee77e91482276
Homepage: https://cran.r-project.org/package=tryr
Description: CRAN Package 'tryr' (Client/Server Error Handling for HTTP API Frameworks)
 Differentiate client errors (4xx) from server errors (5xx) for the 'plumber'
 and 'RestRserve' HTTP API frameworks. The package also includes a built-in
 logging mechanism to standard output (STDOUT) or standard error (STDERR)
 depending on the log level.

Package: r-cran-ts.extend
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-gridextra, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ts.extend_0.1.1-1.ca2004.1_all.deb
Size: 90836
MD5sum: 52635a50be77239b7f01a42275f4196d
SHA1: d9d4098f7c037855c27f7c0e79c50a342651d545
SHA256: 1f934c7eace3148eac8642a9aab2455fb2bfbf22fd5882b5f504cda5e15da912
SHA512: 0ff80bdc77540a3c6d4f58ee4a536b9491f889b3b3ac43a671dfc91b0a4cb048e845f721653816c77f1573b4ce00386d573f1d6c5737100006b63141dd44e5b6
Homepage: https://cran.r-project.org/package=ts.extend
Description: CRAN Package 'ts.extend' (Stationary Gaussian ARMA Processes and Other Time-SeriesUtilities)
 Stationary Gaussian ARMA processes and the stationary 'GARMA' distribution
 are fundamental in time series analysis. Here we give utilities to compute
 the auto-covariance/auto-correlation for a stationary Gaussian ARMA process,
 as well as the probability functions (density, cumulative distribution,
 random generation) for random vectors from this distribution.  We also give
 functions for the spectral intensity, and the permutation-spectrum test for
 testing a time-series vector for the presence of a signal.

Package: r-cran-ts2net
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1735
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-igraph, r-cran-dtw, r-cran-scales, r-cran-minerva, r-cran-infotheo, r-cran-mmpp, r-cran-dbscan, r-cran-zoo, r-cran-nonlineartseries
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ts2net_0.1.0-1.ca2004.1_all.deb
Size: 1605036
MD5sum: a029be6758a2a534c2bb657d0ccb916d
SHA1: 91be0fa353c80eed559b85810c7d881151dd333b
SHA256: 36b5e9ce8d464dafb23239b9bbefb0d83411b532e2eed32aaf626fa0bab917d6
SHA512: 844dc8f4d0502d297f88768fccdbe911eb9f39353ad614e8b6c7c9548a502d676d676acd24805f08d3f521f0feee998fc1f70aa6e6f6279e993bfebb264fe464
Homepage: https://cran.r-project.org/package=ts2net
Description: CRAN Package 'ts2net' (From Time Series to Networks)
 Transforming one or multiple time series into networks. This package is
 useful for complex systems modeling, time series data mining, or time series
 analysis using networks.  An introduction to the topic and the descriptions
 of the methods implemented in this package can be found in Mitchell (2006)
 <doi:10.1016/j.artint.2006.10.002>, Silva and Zhao (2016)
 <doi:10.1007/978-3-319-17290-3>, and Silva et al. (2021)
 <doi:10.1002/widm.1404>.

Package: r-cran-tsa
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 571
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-leaps, r-cran-locfit, r-cran-mgcv, r-cran-tseries
Filename: pool/dists/focal/main/r-cran-tsa_1.3.1-1.ca2004.1_all.deb
Size: 463856
MD5sum: e6d95fed4ef2e4448ce3ebcac98b8346
SHA1: 891765c5963106d5d8d1a887a8955d66594593ab
SHA256: 5a4fedd13211cae1e3ba91f1d1c6f470e809dc2f091abab2e47635c5290d377f
SHA512: dae5665fd66acc4168e0e4caf1b306e4bc49565d3a1d248f6858f0b820bb1100d934e7c7ea5cc24893032433ab64cc61d4f2b9fb7c63678c5872e55990a853e4
Homepage: https://cran.r-project.org/package=TSA
Description: CRAN Package 'TSA' (Time Series Analysis)
 Contains R functions and datasets detailed in the book "Time Series Analysis
 with Applications in R (second edition)" by Jonathan Cryer and Kung-Sik
 Chan.

Package: r-cran-tsallisqexp
Architecture: all
Version: 0.9-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tsallisqexp_0.9-5-1.ca2004.1_all.deb
Size: 307412
MD5sum: 6e65bcf109057f882d8a294afd3d11aa
SHA1: 2680ddfb3ebe1f6d1a41f5a24302bcaf4194f4a7
SHA256: fc13f2b9a3d1d29c0816e42a533e59cfe20a0cf582928da72a0dcba0366ff997
SHA512: db484656dd95dd4fd890ff391724c7981efac8d9846166bb2fd10b7139c6f71f2ba5f4d898d25b33a9c93c937d341691a4010ec9b1c685c1ce260049b6fc8ecd
Homepage: https://cran.r-project.org/package=tsallisqexp
Description: CRAN Package 'tsallisqexp' (Tsallis q-Exp Distribution)
 Tsallis distribution also known as the q-exponential family distribution.
 Provide distribution d, p, q, r functions, fitting and testing functions.
 Project initiated by Paul Higbie and based on Cosma Shalizi's code.

Package: r-cran-tsann
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-tsann_0.1.0-1.ca2004.1_all.deb
Size: 19644
MD5sum: 01923bae7206e44f7dcf6616e8e1dcb0
SHA1: 08c2bf5a7986ab5886d0fc487cbe5b1438287f08
SHA256: c6306313c6c77c6e12c6e7f12f458d006807b26c502eaf44e70c4d6d3c3a95e9
SHA512: 5d7c477b879aa2b2fc325bff98ee080d89d4796c61f108c82e183bf71d9e198527f859ec8b33e29122ba2a001934992cb9930997109b1ca91b10136f05d57635
Homepage: https://cran.r-project.org/package=TSANN
Description: CRAN Package 'TSANN' (Time Series Artificial Neural Network)
 The best ANN structure for time series data analysis is a demanding need in
 the present era.  This package will find the best-fitted ANN model based on
 forecasting accuracy.  The optimum size of the hidden layers was also
 determined after determining the number of lags to be included.  This
 package has been developed using the algorithm of Paul and Garai (2021)
 <doi:10.1007/s00500-021-06087-4>.

Package: r-cran-tsapp
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 726
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vars, r-cran-fftwtools, r-cran-hdm
Filename: pool/dists/focal/main/r-cran-tsapp_1.0.4-1.ca2004.1_all.deb
Size: 674024
MD5sum: 196b650362b144b7f6b478f1c909946c
SHA1: 7a1186106f8540782c34170c881fd3adb5bc7211
SHA256: e3cbcbe15ee6c48049bf9931a473a3627787008b7190f3a5274febeaae70ea09
SHA512: 369755142d94df106101cb171ca666b7b397a903b98b27092bbc77a4d5db7f287d7c94ef851cb19bcbfce7b26d708c6496c771431477a97cdefe2f3be68e9f18
Homepage: https://cran.r-project.org/package=tsapp
Description: CRAN Package 'tsapp' (Time Series, Analysis and Application)
 Accompanies the book Rainer Schlittgen and Cristina Sattarhoff (2020)
 <https://www.degruyter.com/view/title/575978> "Angewandte Zeitreihenanalyse
 mit R, 4. Auflage" . The package contains the time series and functions used
 therein. It was developed over many years teaching courses about time series
 analysis.

Package: r-cran-tsaux
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 886
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tsmethods, r-cran-zoo, r-cran-xts, r-cran-lubridate, r-cran-car, r-cran-rdpack, r-cran-scoringrules, r-cran-stlplus, r-cran-tsoutliers, r-cran-forecast, r-cran-data.table
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tsaux_1.0.0-1.ca2004.1_all.deb
Size: 596820
MD5sum: 559bc182c96077b7025aba1e2a8c6b0a
SHA1: 33c473553e4198ebf1faa38ba5237074f91079f9
SHA256: f51ef392e5388630e4a4a9f22b06bba19f055f595e293f95ac327b383ae927f6
SHA512: d25dcae487283c2b7db401e5b3a6b84aee4bc6e1811fae0bdd116a221e976231e2c3f7b4c54e9e41f65a74e7af14fd5a5d454ffdf2e26ca692de0dc012a8c6ab
Homepage: https://cran.r-project.org/package=tsaux
Description: CRAN Package 'tsaux' (Time Series Forecasting Auxiliary Functions)
 A suite of auxiliary functions that enhance time series estimation and
 forecasting, including a robust anomaly detection routine based on Chen and
 Liu (1993) <doi:10.2307/2290724> (imported and wrapped from the 'tsoutliers'
 package), utilities for managing calendar and time conversions, performance
 metrics to assess both point forecasts and distributional predictions,
 advanced simulation by allowing the generation of time series
 components—such as trend, seasonal, ARMA, irregular, and anomalies—in a
 modular fashion based on the innovations form of the state space model and a
 number of transformation methods including Box-Cox, Logit, 'Softplus-Logit'
 and Sigmoid.

Package: r-cran-tsbox
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 568
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-anytime
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tibble, r-cran-tidyr, r-cran-forecast, r-cran-seasonal, r-cran-dygraphs, r-cran-xts, r-cran-ggplot2, r-cran-scales, r-cran-knitr, r-cran-rmarkdown, r-cran-tsibble, r-cran-tsibbledata, r-cran-tibbletime, r-cran-tseries, r-cran-units, r-cran-zoo, r-cran-tis, r-cran-timeseries, r-cran-nycflights13, r-cran-imputets, r-cran-spelling, r-cran-covr
Filename: pool/dists/focal/main/r-cran-tsbox_0.4.2-1.ca2004.1_all.deb
Size: 392276
MD5sum: 93aee9d2abbb8ff5b768202cea98001a
SHA1: 3e1c636b53893c6da6172b83dbd7322ddc57ce6e
SHA256: 2a560bdfac9727c0adafc79bd1a91d334d3e827cef1168ffcb733f3fb84988a9
SHA512: 07bf4c3ef7bf2696e4b273d6da6741b669106bf21d8b493aa66b59ddf9862ad4b61f57cd0e0f9bebd5196e97ae9a9f7e2dd014339290d7d125a5b8d521a5ad62
Homepage: https://cran.r-project.org/package=tsbox
Description: CRAN Package 'tsbox' (Class-Agnostic Time Series)
 Time series toolkit with identical behavior for all time series classes:
 'ts','xts', 'data.frame', 'data.table', 'tibble', 'zoo', 'timeSeries',
 'tsibble', 'tis' or 'irts'. Also converts reliably between these classes.

Package: r-cran-tsci
Architecture: all
Version: 3.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xgboost, r-cran-rfast, r-cran-ranger, r-cran-fastdummies
Suggests: r-cran-fda, r-cran-mass, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tsci_3.0.4-1.ca2004.1_all.deb
Size: 178544
MD5sum: 6a4f2cab7467433d242cd04b782c4c80
SHA1: e3189a9dde3dd0a1d76a02c0cc226210e33992df
SHA256: 07c2bae1ff5560e856423a45ab3516d5009288400747bcaea949a62867807f58
SHA512: 20b76faf35296933c2d4700399ce4d1ecff265e3d3f679acb0769d009b82ccc9ae4c4b64a256881ceeaba05cabcbf4c3d06eed47e02353308caee71f744b589b
Homepage: https://cran.r-project.org/package=TSCI
Description: CRAN Package 'TSCI' (Tools for Causal Inference with Possibly Invalid InstrumentalVariables)
 Two stage curvature identification with machine learning for causal
 inference in settings when instrumental variable regression is not suitable
 because of potentially invalid instrumental variables. Based on Guo and
 Buehlmann (2022) "Two Stage Curvature Identification with Machine Learning:
 Causal Inference with Possibly Invalid Instrumental Variables"
 <arXiv:2203.12808>. The vignette is available in Carl, Emmenegger, Bühlmann
 and Guo (2023) "TSCI: two stage curvature identification for causal
 inference with invalid instruments" <arXiv:2304.00513>.

Package: r-cran-tsclust
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pdc, r-cran-cluster, r-cran-locpol, r-cran-kernsmooth, r-cran-dtw, r-cran-longitudinaldata, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tsclust_1.3.2-1.ca2004.1_all.deb
Size: 441076
MD5sum: deab3a48b3862ebcda6b6ff54d740292
SHA1: 3e30db387d2afe44fbd5a235b261ec4b212d439d
SHA256: 5ee8bc18b606ab429f773e87c642389a70ae0fa267b0e50b24f73e45801b864a
SHA512: 2d9cc2b7a4cd94e55755bde9a941ce31dad76f4b0ab0ff4bcdfaed3ee5ae691361380af8918df6034772c33d8bdfd4fa0cca986ab6b7f941988e030365bd9b14
Homepage: https://cran.r-project.org/package=TSclust
Description: CRAN Package 'TSclust' (Time Series Clustering Utilities)
 A set of measures of dissimilarity between time series to perform time
 series clustering. Metrics based on raw data, on generating models and on
 the forecast behavior are implemented. Some additional utilities related to
 time series clustering are also provided, such as clustering algorithms and
 cluster evaluation metrics.

Package: r-cran-tscompare
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-tframe, r-cran-tfplot, r-cran-dbi
Suggests: r-cran-tframeplus, r-cran-tssql, r-cran-tsmysql, r-cran-tssqlite, r-cran-tsmisc, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tscompare_2015.4-1-1.ca2004.1_all.deb
Size: 100540
MD5sum: 3664a388625ebeb628542253e037bece
SHA1: ac01dbcdf8b379a72cdd99789f504dbcd9ffdc16
SHA256: 81bd8bba3c4841720f0501b1be0516a1aae1d6b97544208a41d25245467fb5fd
SHA512: 02218490fa516e01440f781799dea51ae670a57263896e2bda87c7bbbb94bea8436f5d002b2fe664220de6760b3d5466638af27480bc7a9413610d6733556e6f
Homepage: https://cran.r-project.org/package=TScompare
Description: CRAN Package 'TScompare' ('TSdbi' Database Comparison)
 Utilities for comparing the equality of series on two databases.
 Comprehensive examples of all the 'TS*' packages is provided in the vignette
 Guide.pdf with the 'TSdata' package.

Package: r-cran-tscopula
Architecture: all
Version: 0.3.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2616
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-xts, r-cran-fkf, r-cran-ltsa, r-cran-rvinecopulib, r-cran-arfima, r-cran-matrix, r-cran-polynom, r-cran-kdensity
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tscopula_0.3.9-1.ca2004.1_all.deb
Size: 1850808
MD5sum: 385b745469bea2534f51baadaa968ef1
SHA1: ec86484d7041856898fe21bb65840c804268a2ed
SHA256: f641a6a826c9df3135fdb6b9b2470aa1af0bbbe59b9f6026691a2a48daf10cdb
SHA512: bdf77face43b84115854189301ee83d0c42ff25460b1bab801f2733483486866f4336c2e87a60c7f2cdcfb00f536ffa3ec76b5e5feb866863e5df1199916c4da
Homepage: https://cran.r-project.org/package=tscopula
Description: CRAN Package 'tscopula' (Time Series Copula Models)
 Functions for the analysis of time series using copula models.  The package
 is based on methodology described in the following references.  McNeil, A.J.
 (2021) <doi:10.3390/risks9010014>, Bladt, M., & McNeil, A.J. (2021)
 <doi:10.1016/j.ecosta.2021.07.004>, Bladt, M., & McNeil, A.J. (2022)
 <doi:10.1515/demo-2022-0105>.

Package: r-cran-tscount
Architecture: all
Version: 1.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1690
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ltsa
Suggests: r-cran-matrix, r-cran-xtable, r-cran-gamlss.data, r-cran-surveillance
Filename: pool/dists/focal/main/r-cran-tscount_1.4.3-1.ca2004.1_all.deb
Size: 1466676
MD5sum: 7e42915dfaf0cab05a44ed99dc71d704
SHA1: b011e89e76b98263053c953ee1f4efd80812a7d3
SHA256: 59d5873cf210df9f83b2b9d1e25f6b3b241999675508d5f46e6455b777d3d27e
SHA512: 2172cd57b5e7f8b4736d9186cb5b5c2f5971d391b1dc88f690e492886d7a27fa8973ee8d6e1b95ca009c13f41a6934d207b50543989727efd76287b8d5f62f09
Homepage: https://cran.r-project.org/package=tscount
Description: CRAN Package 'tscount' (Analysis of Count Time Series)
 Likelihood-based methods for model fitting and assessment, prediction and
 intervention analysis of count time series following generalized linear
 models are provided. Models with the identity and with the logarithmic link
 function are allowed. The conditional distribution can be Poisson or
 Negative Binomial.

Package: r-cran-tscs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1547
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-tseries, r-cran-rgl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-tscs_0.1.1-1.ca2004.1_all.deb
Size: 1381504
MD5sum: 5c8a3f2acbe2a94a5496c8f515fc6e4a
SHA1: 18ea86d0fc1b0b90ec3a27156f769f8f2f6b9546
SHA256: 42e5b7f73b1c1e3419150e4149845e186dfc541c3d01c3ac18635100af0988aa
SHA512: 8be46436af073e0644bf7f13e9d431ab76371ca26798e764f9ea9c32fa61f034d2126a1005d2823b05de4a2c3ee8487cd96e4c60f2a84671f808ee57b994e8f5
Homepage: https://cran.r-project.org/package=TSCS
Description: CRAN Package 'TSCS' (Time Series Cointegrated System)
 A set of functions to implement Time Series Cointegrated System (TSCS)
 spatial interpolation and relevant data visualization.

Package: r-cran-tsdata
Architecture: all
Version: 2016.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1399
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-tframe, r-cran-tframeplus, r-cran-tfplot, r-cran-tsdbi, r-cran-tssql, r-cran-tspostgresql, r-cran-tsmysql, r-cran-tssqlite, r-cran-tsodbc, r-cran-tssdmx, r-cran-tsmisc, r-cran-tscompare, r-cran-zoo, r-cran-xts, r-cran-tseries, r-cran-writexls, r-cran-dbi, r-cran-rpostgresql, r-cran-rsqlite, r-cran-rmysql, r-cran-rodbc, r-cran-rjsdmx
Filename: pool/dists/focal/main/r-cran-tsdata_2016.8-1-1.ca2004.1_all.deb
Size: 1207996
MD5sum: c24aa3ed624cd88f380b305227be353f
SHA1: b8c18e66ff83d55cbee8173ae9df113fdebcfe95
SHA256: b1b64358142691a212fed4312a26600c2e026972fb8796f6402233e8b2c71fb6
SHA512: f03b10ce4bd5556fb2ff10dbe42d7949e3a9b996778faf480c81e84dd218a247cfd1f63acae05323db753d81ba42a1806236f31601cdfdf4cc963ba183ffcd5d
Homepage: https://cran.r-project.org/package=TSdata
Description: CRAN Package 'TSdata' ('TSdbi' Illustration)
 Illustrates the various 'TSdbi' packages with a vignette using time series
 data from several sources. The vignette also illustrates some simple time
 series manipulation and plotting using packages 'tframe' and 'tfplot'.

Package: r-cran-tsdataleaks
Architecture: all
Version: 2.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 345
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-slider, r-cran-purrr, r-cran-cowplot, r-cran-plyr, r-cran-viridis
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tsdataleaks_2.1.1-1.ca2004.1_all.deb
Size: 226520
MD5sum: a8759fc4b19513d453dda58a990071df
SHA1: dff559e21b32e2c062937b0846a1d215ad9f39da
SHA256: 7baca4d590d2b118ca9c2fb0c3d0aa140bf42c36630954d22e716b192575c12d
SHA512: b4aaa1fdd07edf1a6af5b0d0e5dc83df9178e9ae56a3170619f1d10fc3b76f42d16e87569b82bfc05b912ddf0704ebde3a2b1504bb863866a9bbbe44d5564286
Homepage: https://cran.r-project.org/package=tsdataleaks
Description: CRAN Package 'tsdataleaks' (Exploit Data Leakages in Time Series Forecasting Competitions)
 Forecasting competitions are of increasing importance as a mean to learn
 best practices and gain knowledge. Data leakage is one of the most common
 issues that can often be found in competitions. Data leaks can happen when
 the training data contains information about the test data. For example:
 randomly chosen blocks of time series are concatenated to form a new time
 series, scale-shifts, repeating patterns in time series, white noise is
 added in the original time series to form a new time series, etc.
 'tsdataleaks' package can be used to detect data leakages in a collection of
 time series.

Package: r-cran-tsdb
Architecture: all
Version: 1.1-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-datetimeutils, r-cran-fastmatch, r-cran-zoo
Suggests: r-cran-data.table, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-tsdb_1.1-0-1.ca2004.1_all.deb
Size: 61100
MD5sum: 7d17029dd79d2826f2433dfe2e2a8459
SHA1: 91cfdd20f6adc9d3d1d634b9b01664cefc34d9ac
SHA256: 38effb546683e38c09592b21f9341f8a51e3f478a221224ba3ac55890a0d7d33
SHA512: 7f767d43c032de955838042dacd54693ffa317003c191178eb9faf7fbc139aabbab8ed4b652cacb9014bd927fb7cbafa1470841d89769943127cf8431c8d9935
Homepage: https://cran.r-project.org/package=tsdb
Description: CRAN Package 'tsdb' (Terribly-Simple Data Base for Time Series)
 A terribly-simple data base for numeric time series, written purely in R, so
 no external database-software is needed. Series are stored in plain-text
 files (the most-portable and enduring file type) in CSV format. Timestamps
 are encoded using R's native numeric representation for 'Date'/'POSIXct',
 which makes them fast to parse, but keeps them accessible with other
 software. The package provides tools for saving and updating series in this
 standardised format, for retrieving and joining data, for summarising files
 and directories, and for coercing series from and to other data types (such
 as 'zoo' series).

Package: r-cran-tsdbi
Architecture: all
Version: 2017.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tframe
Suggests: r-cran-zoo, r-cran-tseries, r-cran-tis, r-cran-tfplot, r-cran-tframeplus
Filename: pool/dists/focal/main/r-cran-tsdbi_2017.4-1-1.ca2004.1_all.deb
Size: 311940
MD5sum: f3e578c80551cf6e46a16ef0ab6cf3db
SHA1: c9fd35f33770faffc25686d0d9a65d04bfe4b514
SHA256: 233ffab52ad559d3c99df1171024303f11db9b2e04671cab3642b6d8db37e8d9
SHA512: d591bb5eee695b3ca18fbade3eab66b1cf9d68b740807709bfcba35a810ddcf054128cf2f9525a26f3b02b5fcbde3047b2c80f25c828050acf34a93770f55b19
Homepage: https://cran.r-project.org/package=TSdbi
Description: CRAN Package 'TSdbi' (Time Series Database Interface)
 Provides a common interface to time series databases. The objective is to
 define a standard interface so users can retrieve time series data from
 various sources with a simple, common, set of commands, and so programs can
 be written to be portable with respect to the data source. The SQL
 implementations also provide a database table design, so users needing to
 set up a time series database have a reasonably complete way to do this
 easily. The interface provides for a variety of options with respect to the
 representation of time series in R. The interface, and the SQL
 implementations, also handle vintages of time series data (sometime called
 editions or real-time data). There is also a (not yet well tested) mechanism
 to handle multilingual data documentation.  Comprehensive examples of all
 the 'TS*' packages is provided in the vignette Guide.pdf with the 'TSdata'
 package.

Package: r-cran-tsdecomp
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tsdecomp_0.2-1.ca2004.1_all.deb
Size: 201928
MD5sum: e3b4026622c3de983183a18e29282ddf
SHA1: 904b97cf810d097c439c00aaf46bd6559ca895f1
SHA256: b99ad50edd0a8b7aba35de93dd5b742d422e63b987e39ac7acf874eda5fbe933
SHA512: 2f170dd1758ce3cad78fb1906728e6408f36b260cee1af25e3549e8443b9f23ff739930779b3ee146be4e3e02b5eaee8113457fa9923f85fb1e03c0d1369addf
Homepage: https://cran.r-project.org/package=tsdecomp
Description: CRAN Package 'tsdecomp' (Decomposition of Time Series Data)
 ARIMA-model-based decomposition of quarterly and monthly time series data.
 The methodology is developed and described, among others, in Burman (1980)
 <DOI:10.2307/2982132> and Hillmer and Tiao (1982) <DOI:10.2307/2287770>.

Package: r-cran-tsdeeplearning
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-reticulate, r-cran-tsutils, r-bioc-biocgenerics, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-tsdeeplearning_0.1.0-1.ca2004.1_all.deb
Size: 37436
MD5sum: 0fc797e7fd7adf8c2e50790d21ac192e
SHA1: 3f4eb0e27c8d7d69b9c9df564d6323a247759b3d
SHA256: bf3e5e5e9febb102169da01b136b90e59a4effc971d53c1a8a2542c410a4d4ed
SHA512: de744f2c009a249df674b8020593a077bcc961e4e1558cafb06a9a341ad9f0a807a91bbc8e9fe96349e821fb301e2232e7f59cf2c11bc8f5bcf6bc45bc7bd9a0
Homepage: https://cran.r-project.org/package=TSdeeplearning
Description: CRAN Package 'TSdeeplearning' (Deep Learning Model for Time Series Forecasting)
 RNNs are preferred for sequential data like time series, speech, text, etc.
 but when dealing with long range dependencies, vanishing gradient problems
 account for their poor performance. LSTM and GRU are effective solutions
 which are nothing but RNN networks with the abilities of learning both
 short-term and long-term dependencies. Their structural makeup enables them
 to remember information for a long period without any difficulty. LSTM
 consists of one cell state and three gates, namely, forget gate, input gate
 and output gate whereas GRU comprises only two gates, namely, reset gate and
 update gate. This package consists of three different functions for the
 application of RNN, LSTM and GRU to any time series data for its
 forecasting. For method details see Jaiswal, R. et al. (2022).
 <doi:10.1007/s00521-021-06621-3>.

Package: r-cran-tsdf
Architecture: all
Version: 1.1-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 998
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tsdf_1.1-8-1.ca2004.1_all.deb
Size: 423440
MD5sum: da7132d8b5fda23bd9fa02b356ff544c
SHA1: b69505a0593a03b3f5c9a4077d6aa0021a2e6b37
SHA256: 879ac1996fc5b2280e45d83e1b9edd69d74ef2fd3e44c7f372152fb4c9a4a173
SHA512: a574751d2bfebb2701a98380bbb37744af20cb0ee585de112ead1d2789f4b75667fad467996c85d7f7eb945c2d03a580cf651fbce4d1aa8bd96d411ba977350d
Homepage: https://cran.r-project.org/package=tsdf
Description: CRAN Package 'tsdf' (Two-/Three-Stage Designs for Phase 1&2 Clinical Trials)
 Calculate optimal Zhong's two-/three-stage Phase II designs (see Zhong
 (2012) <doi:10.1016/j.cct.2012.07.006>). Generate Target Toxicity decision
 table for Phase I dose-finding (two-/three-stage). This package also allows
 users to run dose-finding simulations based on customized decision table.

Package: r-cran-tsdisagg2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 445
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-tsdisagg2_0.1.0-1.ca2004.1_all.deb
Size: 342432
MD5sum: 97a7a65b9d72a6a0d60f414bf8a32f15
SHA1: b357c8eab96d0e1b85999f2bfe3ca8dd5e57b89b
SHA256: 491b8df0e13ff7c1f03d55d911206367e0282f536df31518442f481705248154
SHA512: 8a2b3c3c7ee4b93cfe4b4dd6002be4741c825578d3a30e6686fe07e1eaed67cc41707f088a80f85f99ab26a046e15284233fffdd69e8c42c6f4e6a3981058ced
Homepage: https://cran.r-project.org/package=tsdisagg2
Description: CRAN Package 'tsdisagg2' (Time Series Disaggregation)
 Disaggregates low frequency time series data to higher frequency series.
 Implements the following methods for temporal disaggregation: Boot, Feibes
 and Lisman (1967) <DOI:10.2307/2985238>, Chow and Lin (1971)
 <DOI:10.2307/1928739>, Fernandez (1981) <DOI:10.2307/1924371> and Litterman
 (1983) <DOI:10.2307/1391858>.

Package: r-cran-tsdisaggregation
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack, r-cran-zoo, r-cran-lars, r-cran-matrix, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tsdisaggregation_2.0.0-1.ca2004.1_all.deb
Size: 63576
MD5sum: 9ca3c30689c2c5d9ec7b46ba5c014e65
SHA1: 2807531568ae82282264f19cc95152148849321f
SHA256: e64bbc9f5c4b36e3f695a72ef0a612e605ce1c528723789c94ca1222e73047ab
SHA512: 18c458ac5f9766902f2e400a8a6d1477afed2459be3088cb827b865aea2d10cf17ea5c626983b9b9dc6f45af6f1c802a006bcd81177f45ce407398632ddd1c41
Homepage: https://cran.r-project.org/package=TSdisaggregation
Description: CRAN Package 'TSdisaggregation' (High-Dimensional Temporal Disaggregation)
 First - Generates (potentially high-dimensional) high-frequency and
 low-frequency series for simulation studies in temporal disaggregation;
 Second - a toolkit utilizing temporal disaggregation and benchmarking
 techniques with a low-dimensional matrix of indicator series previously
 proposed in Dagum and Cholette (2006, ISBN:978-0-387-35439-2) ; and Third -
 novel techniques proposed by Mosley, Gibberd and Eckley (2021)
 <arXiv:2108.05783> for disaggregating low-frequency series in the presence
 of high-dimensional indicator matrices.

Package: r-cran-tsdt
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 526
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mlbench, r-cran-hash, r-cran-party, r-cran-rpart, r-cran-survival, r-cran-survrm2, r-cran-modeltools
Filename: pool/dists/focal/main/r-cran-tsdt_1.0.8-1.ca2004.1_all.deb
Size: 457196
MD5sum: a1433ede3b0cc3461db62dc360e1eff9
SHA1: 2d6288eb941615dab7a85c08b438c8e11b162408
SHA256: 7bde639c95874e6ff219ffc2bbaafb7db484992b21c2ae837043c4e7fb7bc065
SHA512: 09b3aa68bdbda4c3a5a8226a36a75f79ff57463142595149d18e45849ebd37ba4caf944cbd766ba822c7914a33d5644af50ea7c49d3467b321f61e9ef61b6764
Homepage: https://cran.r-project.org/package=TSDT
Description: CRAN Package 'TSDT' (Treatment-Specific Subgroup Detection Tool)
 Implements a method for identifying subgroups with superior response
 relative to the overall sample.

Package: r-cran-tse
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tse_0.1.0-1.ca2004.1_all.deb
Size: 58732
MD5sum: 94ee174d63dd02001590c83550e7725f
SHA1: 96522df47cf4ae7e07cf116c0c562c5d4739d2a0
SHA256: 4650c77cea4a22a130c64c3e686ecefcc32813616d89b5cf46201a2100871094
SHA512: be530acb74bac8c26438327c263d6fd9dafea7c85bbd585656f1d8f976e1e1ba08010da950950d17487611ef8baf98f0a19122fe7ba18b721b93add330884cbc
Homepage: https://cran.r-project.org/package=TSE
Description: CRAN Package 'TSE' (Total Survey Error)
 Calculates total survey error (TSE) for one or more surveys, using common
 scale-dependent and/or scale-independent metrics.  On TSE, see: Weisberg,
 Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul (2010)
 <doi:10.1093/poq/nfq058>.

Package: r-cran-tseal
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1868
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bigmemory, r-cran-caret, r-cran-checkmate, r-cran-magrittr, r-cran-mass, r-cran-parallelly, r-cran-pryr, r-cran-statcomp, r-cran-synchronicity, r-cran-waveslim, r-cran-wdm
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tseal_0.1.3-1.ca2004.1_all.deb
Size: 1870036
MD5sum: 56f989a4afb1e3ee3e88f9cfb2e62644
SHA1: 0336edaad013712ba5bb1f59dfb31ec47f656f53
SHA256: 7295b7f9f9b7d2a087c5394d37388501c3f64d55fd6e289f48d407c8fba72b80
SHA512: b265cdab348ed75499276a56e70ddece7b52192ce25ef55566062fda73e59b0038a1426ddf01c335a4d8f2ce3de51701f4ff8281ed1d93afbb605b55d18abd53
Homepage: https://cran.r-project.org/package=TSEAL
Description: CRAN Package 'TSEAL' (Time Series Analysis Library)
 The library allows to perform a multivariate time series classification
 based on the use of Discrete Wavelet Transform for feature extraction, a
 step wise discriminant to select the most relevant features and finally, the
 use of a linear or quadratic discriminant for classification. Note that all
 these steps can be done separately which allows to implement new steps.
 Velasco, I., Sipols, A., de Blas, C. S., Pastor, L., & Bayona, S. (2023)
 <doi:10.1186/S12938-023-01079-X>.  Percival, D. B., & Walden, A. T.
 (2000,ISBN:0521640687).  Maharaj, E. A., & Alonso, A. M. (2014)
 <doi:10.1016/j.csda.2013.09.006>.

Package: r-cran-tseind
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tseind_0.1.0-1.ca2004.1_all.deb
Size: 57900
MD5sum: e21fe07b37b2aad6702239fbc2709be5
SHA1: f4b49b62f3865edeaba9c3cb0857bdf6c40d9a30
SHA256: 786b4c7bfbea776cb4579e353707c3543392252887ff843f84c24b6b44fc9763
SHA512: c619c3eab58c53e10330e6aa45588042da29f2816659530657062dbc888ea744e80e515b9f2cb1d2f410eec826693b51ca8d00889a85b93916850694bdd12fa1
Homepage: https://cran.r-project.org/package=TSEind
Description: CRAN Package 'TSEind' (Total Survey Error (Independent Samples))
 Calculates total survey error (TSE) for one or more surveys, using both
 scale-dependent and scale-independent metrics.  Package works directly from
 the data set, with no hand calculations required: just upload a properly
 structured data set (see TESTIND and its documentation), properly input
 column names (see functions documentation), and run your functions.  For
 more on TSE, see: Weisberg, Herbert (2005, ISBN:0-226-89128-3); Biemer, Paul
 (2010) <doi:10.1093/poq/nfq058>; Biemer, Paul et.al. (2017,
 ISBN:9781119041672); etc.

Package: r-cran-tsensembler
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-zoo, r-cran-rcpproll, r-cran-ranger, r-cran-glmnet, r-cran-earth, r-cran-kernlab, r-cran-cubist, r-cran-gbm, r-cran-pls, r-cran-monmlp, r-cran-doparallel, r-cran-foreach, r-cran-xgboost, r-cran-softimpute
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tsensembler_0.1.0-1.ca2004.1_all.deb
Size: 496236
MD5sum: 43a19ba5e7313554ec652f5c03213880
SHA1: e1f3612e289874eb08de4d2b25d321bd33d45370
SHA256: 5c70cfc79cc3752c44c118aa1b927b6c69aea8904429a156c438b04e05f80cfb
SHA512: 782103cdde7c90c2914c386cc2fdcceb6e78a8ef9981804ae2a270e50f9236f47f8da43c5e698581dd2b306af0924617e3575763c254540b556c0dd9018fe162
Homepage: https://cran.r-project.org/package=tsensembler
Description: CRAN Package 'tsensembler' (Dynamic Ensembles for Time Series Forecasting)
 A framework for dynamically combining forecasting models for time series
 forecasting predictive tasks. It leverages machine learning models from
 other packages to automatically combine expert advice using metalearning and
 other state-of-the-art forecasting combination approaches. The predictive
 methods receive a data matrix as input, representing an embedded time
 series, and return a predictive ensemble model. The ensemble use generic
 functions 'predict()' and 'forecast()' to forecast future values of the time
 series. Moreover, an ensemble can be updated using methods, such as
 'update_weights()' or 'update_base_models()'. A complete description of the
 methods can be found in: Cerqueira, V., Torgo, L., Pinto, F., and Soares, C.
 "Arbitrated Ensemble for Time Series Forecasting." to appear at: Joint
 European Conference on Machine Learning and Knowledge Discovery in
 Databases. Springer International Publishing, 2017; and Cerqueira, V.,
 Torgo, L., and Soares, C.: "Arbitrated Ensemble for Solar Radiation
 Forecasting." International Work-Conference on Artificial Neural Networks.
 Springer, 2017 <doi:10.1007/978-3-319-59153-7_62>.

Package: r-cran-tsentiment
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-reshape2, r-cran-wordcloud, r-cran-ggplot2, r-cran-httr, r-cran-syuzhet, r-cran-tidytext, r-cran-dplyr, r-cran-tibble, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-tsentiment_1.0.5-1.ca2004.1_all.deb
Size: 41768
MD5sum: 0ddaaa2c37c63616c32549b05f001663
SHA1: 37817e741fcae469c1c1f363b267e7e7a32c759a
SHA256: 0b86800bf59d827587561c1fa05271f43b0974cd440584f309c27185abd9178a
SHA512: db0cb2debd91bcd524d0af6f21dd9bbf5249e3543bf345d9ff2220db01957ece96e2593142c7e885b8af4e085a316040c2a9de3b332b00bbf0553808ad2dc2f7
Homepage: https://cran.r-project.org/package=tsentiment
Description: CRAN Package 'tsentiment' (Fetching Tweet Data for Sentiment Analysis)
 Which uses Twitter APIs for the necessary data in sentiment analysis, acts
 as a middleware with the approved Twitter Application.  A special access key
 is given to users who subscribe to the application with their Twitter
 account. With this special access key, the user defined keyword for
 sentiment analysis can be searched in twitter recent searches and results
 can be obtained( more information <https://github.com/hakkisabah/tsentiment>
 ).  In addition, a service named tsentiment-services has been developed to
 provide all these operations ( for more information
 <https://github.com/hakkisabah/tsentiment-services> ).  After the successful
 results obtained and in line with the permissions given by the user, the
 results of the analysis of the word cloud and bar graph saved in the user
 folder directory can be seen. In each analysis performed, the previous
 analysis visual result is deleted and this is the basic information you need
 to know as a practice rule.  'tsentiment' package provides a free service
 that acts as a middleware for easy data extraction from Twitter, and in
 return, the user rate limit is reduced by 30 requests from the total limit
 and the remaining requests are used. These 30 requests are reserved for use
 in application analytics. For information about endpoints, you can refer to
 the limit information in the "GET search/tweets" row in the Endpoints column
 in the list at
 <https://developer.twitter.com/en/docs/twitter-api/v1/rate-limits>.

Package: r-cran-tseriesmma
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tseriesmma_0.1.1-1.ca2004.1_all.deb
Size: 15816
MD5sum: c9b415c884e4d1019708ea9dfc9145ab
SHA1: 200957ce962c6d5f8cf55e522a6e7036106667dc
SHA256: 4d443907aeaf6434a40cc7b5cfe132d94904a5a316c362d1c82953952239bc43
SHA512: 8bdc783dd7a5a92816286b079e493c3bdd39e456b87a408aba173363e166d5273d6c3b260451e0fe3f0d4d36781fd186f5e5be61f4812acf7b1cc39cc1f44f76
Homepage: https://cran.r-project.org/package=TSeriesMMA
Description: CRAN Package 'TSeriesMMA' (Multiscale Multifractal Analysis of Time Series Data)
 Multiscale multifractal analysis (MMA) (Gierałtowski et al.,
 2012)<DOI:10.1103/PhysRevE.85.021915> is a time series analysis method,
 designed to describe scaling properties of fluctuations within the signal
 analyzed. The main result of this procedure is the so called Hurst surface
 h(q,s) , which is a dependence of the local Hurst exponent h (fluctuation
 scaling exponent) on the multifractal parameter q and the scale of
 observation s (data window width).

Package: r-cran-tsetools
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xts, r-cran-quantmod, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-tsetools_0.2.2-1.ca2004.1_all.deb
Size: 39680
MD5sum: 5da3dd379b5288e75f59e75f57b9c409
SHA1: efa98805343749811b0834493dbe730e2dd4836a
SHA256: eb0d18e9d3c175b71a95c7ad47261f2b1ff46f358267b57d18971478cde44d06
SHA512: 3451955d14fed5b4ebf5e8db4a324975aff62df15b891835f15313493716420ae74fb667309a2890f7569863562ce5468bca8396d2ca24878df7200d39517df9
Homepage: https://cran.r-project.org/package=TSEtools
Description: CRAN Package 'TSEtools' (Manage Data from Stock Exchange Markets)
 Tools to perform some descriptive data analysis for assets. Manage the
 portfolio and capital of assets. It also downloads and organizes data from
 the Tehran Stock Exchange (TSE).

Package: r-cran-tsewgt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tsewgt_0.1.0-1.ca2004.1_all.deb
Size: 58008
MD5sum: 545bd33381b769948f9795a765feed68
SHA1: aa547cbc849edd21645abf009f1ffe52020f999c
SHA256: d832552525966e292fc64527d3755c34b61f7bd9e83179e85b9cad4573c276da
SHA512: 7a84002a96ef8e93dbd888b3faaf0abce63d25945982b49bd99a22ba0fcf8606c730a2b3e7ef4fd63337e7da5a93d43613871728652f011e8da21f9150c93e79
Homepage: https://cran.r-project.org/package=TSEwgt
Description: CRAN Package 'TSEwgt' (Total Survey Error Under Multiple, Different Weighting Schemes)
 Calculates total survey error (TSE) for a survey under multiple, different
 weighting schemes, using both scale-dependent and scale-independent metrics.
 Package works directly from the data set, with no hand calculations
 required: just upload a properly structured data set (see TESTWGT and its
 documentation), properly input column names (see functions documentation),
 and run your functions.  For more on TSE, see: Weisberg, Herbert (2005,
 ISBN:0-226-89128-3); Biemer, Paul (2010) <doi:10.1093/poq/nfq058>; Biemer,
 Paul et.al. (2017, ISBN:9781119041672); etc.

Package: r-cran-tsf
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fracdiff, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tsf_0.1.1-1.ca2004.1_all.deb
Size: 21272
MD5sum: bf66841f03207d7da25d1569758b25e6
SHA1: 691e3cff3b5fd6a19983d5b47b68d14cff51e458
SHA256: 5248a6c34070db1042555290cb10aa18467f4dcec048316f45a67aff4bbaa14b
SHA512: e6d659adc61412af3ef7e43379257b130665b5767558d6730364a6149b1311ff53a0d740fc96e35ca4380b8f0fa54b0e1eb172bb2040d48807f2dac292d4a1e7
Homepage: https://cran.r-project.org/package=TSF
Description: CRAN Package 'TSF' (Two Stage Forecasting (TSF) for Long Memory Time Series inPresence of Structural Break)
 Forecasting of long memory time series in presence of structural break by
 using TSF algorithm by Papailias and Dias (2015)
 <doi:10.1016/j.ijforecast.2015.01.006>.

Package: r-cran-tsfame
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 244
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tframeplus, r-cran-fame, r-cran-tis
Suggests: r-cran-tseries, r-cran-tfplot, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tsfame_2015.4-1-1.ca2004.1_all.deb
Size: 163980
MD5sum: 1ab8cdee3088cf55263e608a781169c4
SHA1: 0524375c86a5df65535093a815134d3158194326
SHA256: 431392e68341e5882db09b9b6ffbdd059382092d5a577ae2f747fbb296d02c58
SHA512: bb170128b8bd6183a725e4897027290080049323709ed3bca57a11084c7f6cf8ea50230ede95e08ee4dc3444e3d401f15c9103354595c601ff8b42b91a0db4dd
Homepage: https://cran.r-project.org/package=TSfame
Description: CRAN Package 'TSfame' ('TSdbi' Extensions for Fame)
 A 'fame' interface for 'TSdbi'.  Comprehensive examples of all the 'TS*'
 packages is provided in the vignette Guide.pdf with the 'TSdata' package.

Package: r-cran-tsfeatures
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 377
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fracdiff, r-cran-forecast, r-cran-purrr, r-cran-rcpproll, r-cran-tibble, r-cran-tseries, r-cran-urca, r-cran-future, r-cran-furrr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-mcomp, r-cran-ggally
Filename: pool/dists/focal/main/r-cran-tsfeatures_1.1.1-1.ca2004.1_all.deb
Size: 239052
MD5sum: be277e4b8bf0d1e52b9cd1701dd274c9
SHA1: 4b5a93220a36228b084c258ef3e9a80617a46c11
SHA256: 62914bc7cada1f84a84b41eed1a3e81715a4983c70b0b05cfcc5d76c391bf2f7
SHA512: 810cd80417ca168910ae45602a6de04ff5510fbb117a8803661b062602ffd91ed9d2960510049460a1415dc6b3a8d4580067e7d463723da372ccbcf2b2f6ecf1
Homepage: https://cran.r-project.org/package=tsfeatures
Description: CRAN Package 'tsfeatures' (Time Series Feature Extraction)
 Methods for extracting various features from time series data. The features
 provided are those from Hyndman, Wang and Laptev (2013)
 <doi:10.1109/ICDMW.2015.104>, Kang, Hyndman and Smith-Miles (2017)
 <doi:10.1016/j.ijforecast.2016.09.004> and from Fulcher, Little and Jones
 (2013) <doi:10.1098/rsif.2013.0048>. Features include spectral entropy,
 autocorrelations, measures of the strength of seasonality and trend, and so
 on. Users can also define their own feature functions.

Package: r-cran-tsfngm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 46
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tsfngm_0.1.0-1.ca2004.1_all.deb
Size: 15584
MD5sum: 09e3fdafec6e64bdba964aea1bb773d4
SHA1: 26cc842df673fc5847ed35b27ff02795f2209412
SHA256: 0c74ed8934a388959a45eadf6aa3aab31609df7dddc61a1a801afecaad05576d
SHA512: 305c65222e9b8a3caff844c17725d8c5450ca05d9ac09318e5f9a3f8507ffd04f90325ce32a400f55cc9f57be7e49a4041a60ed36720d6d962d8b939e5354c27
Homepage: https://cran.r-project.org/package=tsfngm
Description: CRAN Package 'tsfngm' (Time Series Forecasting using Nonlinear Growth Models)
 Nonlinear growth models are extremely useful in gaining insight into the
 underlying mechanism. These models are generally 'mechanistic,' with
 parameters that have biological meaning. This package allows you to fit and
 forecast time series data using nonlinear growth models.

Package: r-cran-tsgc
Architecture: all
Version: 0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kfas, r-cran-xts, r-cran-ggplot2, r-cran-ggthemes, r-cran-zoo, r-cran-magrittr, r-cran-scales, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-ggfortify, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-ggforce, r-cran-gridextra, r-cran-latex2exp, r-cran-here, r-cran-timetk, r-cran-testthat, r-cran-purrr, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-tsgc_0.0-1.ca2004.1_all.deb
Size: 839852
MD5sum: 257c67b2e0ae949062f8b16e608d86cc
SHA1: 748469e77bcc3ade8d6cee2c6280982d21c2517b
SHA256: 0b9aa39f098d1e29465f6233153a1eea5eabcf8c753196837d79d2b320dc24de
SHA512: 1b3a030af2983d5fff7538bee78a9c824d2b8006a153afd73eb991cf289db4b7c167b733b0df43fd865c2dce9ad5223f7445432b43e860656c34aff960eab61b
Homepage: https://cran.r-project.org/package=tsgc
Description: CRAN Package 'tsgc' (Time Series Methods Based on Growth Curves)
 The 'tsgc' package provides comprehensive tools for the analysis and
 forecasting of epidemic trajectories.  It is designed to model the
 progression of an epidemic over time while accounting for the various
 uncertainties inherent in real-time data. Underpinned by a dynamic Gompertz
 model, the package adopts a state space approach, using the Kalman filter
 for flexible and robust estimation of the non-linear growth pattern commonly
 observed in epidemic data. The reinitialization feature enhances the model’s
 ability to adapt to the emergence of new waves.  The forecasts generated by
 the package are of value to public health officials and researchers who need
 to understand and predict the course of an epidemic to inform
 decision-making. Beyond its application in public health, the package is
 also a useful resource for researchers and practitioners in fields where the
 trajectories of interest resemble those of epidemics, such as innovation
 diffusion. The package includes functionalities for data preprocessing,
 model fitting, and forecast visualization, as well as tools for evaluating
 forecast accuracy.  The core methodologies implemented in 'tsgc' are based
 on well-established statistical techniques as described in Harvey and
 Kattuman (2020) <doi:10.1162/99608f92.828f40de>, Harvey and Kattuman (2021)
 <doi:10.1098/rsif.2021.0179>, and Ashby, Harvey, Kattuman, and Thamotheram
 (2024)
 <https://www.jbs.cam.ac.uk/wp-content/uploads/2024/03/cchle-tsgc-paper-2024.pdf>.

Package: r-cran-tsgs
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-caret, r-bioc-edger, r-cran-fastmatch, r-cran-genalg, r-cran-kernlab, r-cran-e1071
Filename: pool/dists/focal/main/r-cran-tsgs_1.0-1.ca2004.1_all.deb
Size: 59520
MD5sum: 5c9de7c4c90a88f8a5afaeb1ae4bc37a
SHA1: e74a3b819c334fb586fb57ce188e671af2473d7c
SHA256: 0177d94b315b2672c309c35c30064a4effe522e0b7b4692e50ccb30f275c140e
SHA512: 65df0d58cd984dd6491c7b6dfed4d20a3fdc0676e80a57bb349974ac6b22b3bbfbbbf6c631c4232c727b79d1f559a8de90c9d029c9eb112cfd52704b4c6e295b
Homepage: https://cran.r-project.org/package=TSGS
Description: CRAN Package 'TSGS' (Trait Specific Gene Selection using SVM and GA)
 Obtaining relevant set of trait specific genes from gene expression data is
 important for clinical diagnosis of disease and discovery of disease
 mechanisms in plants and animals. This process involves identification of
 relevant genes and removal of redundant genes as much as possible from a
 whole gene set. This package returns the trait specific gene set from the
 high dimensional RNA-seq count data by applying combination of two
 conventional machine learning algorithms, support vector machine (SVM) and
 genetic algorithm (GA). GA is used to control and optimize the subset of
 genes sent to the SVM for classification and evaluation. Genetic algorithm
 uses repeated learning steps and cross validation over number of possible
 solution and selects the best. The algorithm selects the set of genes based
 on a fitness function that is obtained via support vector machines. Using
 SVM as the classifier performance and the genetic algorithm for feature
 selection, a set of trait specific gene set is obtained.

Package: r-cran-tsgsis
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass
Filename: pool/dists/focal/main/r-cran-tsgsis_0.1-1.ca2004.1_all.deb
Size: 30200
MD5sum: 9b8e4e6d69b3bd133beda7b603e1e28a
SHA1: 82a96bf55a4afb8a7f7013ada765c52e68460aea
SHA256: fc25068eb841ce1d0c2a0f3bb08a711a42fd4835217846b350f261cfdd480c3d
SHA512: 13ec800144d674e98c98572d3f947edf50b7e26251183b30634a4969f829751a185410162f2d03de2e37decb922bd15ddd029d37e439d3b12f13b2689f481b10
Homepage: https://cran.r-project.org/package=TSGSIS
Description: CRAN Package 'TSGSIS' (Two Stage-Grouped Sure Independence Screening)
 To provide a high dimensional grouped variable selection approach for
 detection of whole-genome SNP effects and SNP-SNP interactions, as described
 in Fang et al. (2017, under review).

Package: r-cran-tsibble
Architecture: all
Version: 1.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1486
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-anytime, r-cran-dplyr, r-cran-ellipsis, r-cran-generics, r-cran-lifecycle, r-cran-lubridate, r-cran-rlang, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-hms, r-cran-knitr, r-cran-nanotime, r-cran-nycflights13, r-cran-rmarkdown, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-tidyr, r-cran-timedate
Filename: pool/dists/focal/main/r-cran-tsibble_1.1.6-1.ca2004.1_all.deb
Size: 983552
MD5sum: 1b9d6d9d58949437f586166b7018b56f
SHA1: 877bb27fc11a47e0e0e5e9ec3cc76bf55692312c
SHA256: 6168662123d05d231d1e255a61f491d5b8099dde1f9421cac610617119995c7c
SHA512: e2fc2fa8a03bffae370e7e7d0b2abe21a35e5f8c8436d98e5c8fd2eb1e458e61c1a58af60ef909cc9934e3e7aa50ae9ba8963e93b517e2a71d5cc6f9dcb82dbd
Homepage: https://cran.r-project.org/package=tsibble
Description: CRAN Package 'tsibble' (Tidy Temporal Data Frames and Tools)
 Provides a 'tbl_ts' class (the 'tsibble') for temporal data in an data- and
 model-oriented format. The 'tsibble' provides tools to easily manipulate and
 analyse temporal data, such as filling in time gaps and aggregating over
 calendar periods.

Package: r-cran-tsibbledata
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2727
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tsibble, r-cran-vctrs, r-cran-rappdirs
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tsibbledata_0.4.1-1.ca2004.1_all.deb
Size: 2129424
MD5sum: 76eb41c83eef71657e0884c2dbb4a0c9
SHA1: 2d445fd8ac8db67501c5df39f8295f443c1d77ad
SHA256: 6f02e157aea26bd6334ee26a04ee4efe75a67c112eb975a260a97f4cf461254a
SHA512: 254f20caaf759a27902b0d86c47dccf79fa26670ae69e337969cede846261275ddad3a417e68a82b7d99b78a22ed631e29a06417d190ea1fc41370a26b591309
Homepage: https://cran.r-project.org/package=tsibbledata
Description: CRAN Package 'tsibbledata' (Diverse Datasets for 'tsibble')
 Provides diverse datasets in the 'tsibble' data structure. These datasets
 are useful for learning and demonstrating how tidy temporal data can tidied,
 visualised, and forecasted.

Package: r-cran-tsibbletalk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 853
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crosstalk, r-cran-dendextend, r-cran-dplyr, r-cran-glue, r-cran-lubridate, r-cran-plotly, r-cran-r6, r-cran-rlang, r-cran-shiny, r-cran-tsibble, r-cran-vctrs
Suggests: r-cran-fabletools, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-tsibbletalk_0.1.0-1.ca2004.1_all.deb
Size: 647448
MD5sum: 67afcfbd1394932899cdde1e04a3f6fe
SHA1: 7222b89064025aad1c35f1c480b0752445473abb
SHA256: 720390976ec4586d4794f4576da7795ef798b3d81dc9dbcafc5eb0a4407c3199
SHA512: 520316c959f6c900d4cf440b185cdd897051dd4620e94a0d3892a365100434340fee18d9cb4adda4f43e79bf99d08caed0eb93c2332a1a601eeaeefad9115544
Homepage: https://cran.r-project.org/package=tsibbletalk
Description: CRAN Package 'tsibbletalk' (Interactive Graphics for Tsibble Objects)
 A shared tsibble data easily communicates between htmlwidgets on both client
 and server sides, powered by 'crosstalk'. A shiny module is provided to
 visually explore periodic/aperiodic temporal patterns.

Package: r-cran-tsintermittent
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-mapa
Filename: pool/dists/focal/main/r-cran-tsintermittent_1.10-1.ca2004.1_all.deb
Size: 111600
MD5sum: 006ac6e27d43380a2c13d07797a89f1b
SHA1: 73b9297e7f252cee32672d760897a0133318b136
SHA256: 067824c16bc56e85f510e5bcb531f972ccf90a027ed333e567ff50a72e6ef891
SHA512: 7d3e9604aa1ca5131c6b5e8afd8327924afc2b21f091387c51eb62bd1c76472d2ec88ac32aea7c8f54525aa6a402617efcfec31ebfc733383f7140c12aa3b353
Homepage: https://cran.r-project.org/package=tsintermittent
Description: CRAN Package 'tsintermittent' (Intermittent Time Series Forecasting)
 Time series methods for intermittent demand forecasting. Includes Croston's
 method and its variants (Moving Average, SBA), and the TSB method. Users can
 obtain optimal parameters on a variety of loss functions, or use fixed ones
 (Kourenztes (2014) <doi:10.1016/j.ijpe.2014.06.007>). Intermittent time
 series classification methods and iMAPA that uses multiple temporal
 aggregation levels are also provided (Petropoulos & Kourenztes (2015)
 <doi:10.1057/jors.2014.62>).

Package: r-cran-tsir
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 373
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-kernlab, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-tsir_0.4.3-1.ca2004.1_all.deb
Size: 344932
MD5sum: f3c3425c55ef37d3d13e4df8f37866be
SHA1: 53a29bd372cc31dc5941609a59a00afdc0f8cef4
SHA256: 7e4bd6a0abad4f585b65c43a83775d0cbe1646a26dcb1f33a03d617113ca295b
SHA512: a2af1d3b81ffd823edf77d4d21342c7cc64f7b47a38dae86bb0207c9ea719e87f520173b198e03b1015bdff42c654bdd06100628db9df92aa2bd4c6c6a0c7ca3
Homepage: https://cran.r-project.org/package=tsiR
Description: CRAN Package 'tsiR' (An Implementation of the TSIR Model)
 An implementation of the time-series Susceptible-Infected-Recovered (TSIR)
 model using a number of different fitting options for infectious disease
 time series data. The manuscript based on this package can be found here
 <doi:10.1371/journal.pone.0185528>. The method implemented here is described
 by Finkenstadt and Grenfell (2000) <doi:10.1111/1467-9876.00187>.

Package: r-cran-tslstm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-tsutils
Filename: pool/dists/focal/main/r-cran-tslstm_0.1.0-1.ca2004.1_all.deb
Size: 23392
MD5sum: 2246cf70c6a86d3c3dd06f158be73a42
SHA1: 23bbf1cd9fbd1020fc969d589aaa02d49db0f632
SHA256: aeb97f237dc9cd2a216f5f56c8784ffe19ad9f570d4f349c6b00fe97ee495ef1
SHA512: 3c2fdee3b11992f4653b5c24fe39ba5b5bf16b479af7b09b7ac40f71ad060e83fefbc5a0d751949829d3b101d215122fd2fd872af35b8ebddf87e040b7cc2e92
Homepage: https://cran.r-project.org/package=TSLSTM
Description: CRAN Package 'TSLSTM' (Long Short Term Memory (LSTM) Model for Time Series Forecasting)
 The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN)
 based architecture that is widely used for time series forecasting. Min-Max
 transformation has been used for data preparation. Here, we have used one
 LSTM layer as a simple LSTM model and a Dense layer is used as the output
 layer. Then, compile the model using the loss function, optimizer and
 metrics. This package is based on Keras and TensorFlow modules and the
 algorithm of Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Package: r-cran-tslstmplus
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-keras, r-cran-tensorflow, r-cran-abind
Filename: pool/dists/focal/main/r-cran-tslstmplus_1.0.6-1.ca2004.1_all.deb
Size: 55324
MD5sum: c5ac776343af749646ea481d062ba72c
SHA1: 885be21d78ac88e9a789cfe1613dd8d76daffaf9
SHA256: f9012dccde3f3642a3b3af9b32ba99b4f3fcb522ae99eb5423539a852e1826c0
SHA512: 6bbe132b177acba893e68700346545954c3d6e1d6bffe7b03f3e8e9ce4e177a794f37a6b364b545d3f3bfab10de17e5977c36fadc4bb37350e5b2e0e93acce85
Homepage: https://cran.r-project.org/package=TSLSTMplus
Description: CRAN Package 'TSLSTMplus' (Long-Short Term Memory for Time-Series Forecasting, Enhanced)
 The LSTM (Long Short-Term Memory) model is a Recurrent Neural Network (RNN)
 based architecture that is widely used for time series forecasting.
 Customizable configurations for the model are allowed, improving the
 capabilities and usability of this model compared to other packages. This
 package is based on 'keras' and 'tensorflow' modules and the algorithm of
 Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Package: r-cran-tslstmx
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tensorflow, r-cran-allmetrics, r-cran-keras, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-tslstmx_0.1.0-1.ca2004.1_all.deb
Size: 66972
MD5sum: a05ade10d85b7cdf30e04ba0a74a809d
SHA1: e77e7e3b2144dfca7d3c0df5a9a71830d1edb914
SHA256: bc60f70c187419ff52c42ce9d3bad4598c33c9c192db944328cd2d6b3948c33b
SHA512: 55c409e910900c5474d8e0ab7158311591f52d41a2b3cb126f0b852f29ae381cb40997e133bf101bac891bc3858d2c6759e9414a7d69715904c3088dc0fd28d5
Homepage: https://cran.r-project.org/package=tsLSTMx
Description: CRAN Package 'tsLSTMx' (Predict Time Series Using LSTM Model Including ExogenousVariable to Denote Zero Values)
 It is a versatile tool for predicting time series data using Long Short-Term
 Memory (LSTM) models. It is specifically designed to handle time series with
 an exogenous variable, allowing users to denote whether data was available
 for a particular period or not. The package encompasses various
 functionalities, including hyperparameter tuning, custom loss function
 support, model evaluation, and one-step-ahead forecasting. With an emphasis
 on ease of use and flexibility, it empowers users to explore, evaluate, and
 deploy LSTM models for accurate time series predictions and forecasting in
 diverse applications. More details can be found in Garai and Paul (2023)
 <doi:10.1016/j.iswa.2023.200202>.

Package: r-cran-tsmcp
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plus, r-cran-lars
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-tsmcp_1.0-1.ca2004.1_all.deb
Size: 43748
MD5sum: c1510a8ac77060b7d45839064a03534c
SHA1: 2e9b0faf8342ff6f97bb67cf84cd6560232fc42b
SHA256: 6c9ff3816dc716c8db39f5342bb6d55cc861433b3116eba99d471c881384a64d
SHA512: da9aab18beb2e1cf3c2df8dd6c81364e9c1c8c9ad631640a02e8fb65ff59c9d2ebf04481be658b000bedb0a6fb160ba14158b090d95f9a166a2998ea28c3ef0f
Homepage: https://cran.r-project.org/package=TSMCP
Description: CRAN Package 'TSMCP' (Fast Two Stage Multiple Change Point Detection)
 A novel and fast two stage method for simultaneous multiple change point
 detection and variable selection for piecewise stationary autoregressive
 (PSAR) processes and linear regression model. It also simultaneously
 performs variable selection for each autoregressive model and hence the
 order selection.

Package: r-cran-tsmethods
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-zoo, r-cran-xts, r-cran-data.table
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tsmethods_1.0.2-1.ca2004.1_all.deb
Size: 93484
MD5sum: c52136f53d9c152b4835809f88bacd08
SHA1: 5fdc1ae4e20b410ea7131cc6f305212ce705c3b9
SHA256: 75b0d8d7c23cc79b685e2977bae773e20fb4f29e4ae816b0c34114b5a27539ea
SHA512: eef227d5a477dd90ece13ab9cadc4de09574913aa1297b3c1661b3e866fa39d3d1ba5401aeab9feb6c8e83408b2d0b019152bda08ca570919e37c302024bed34
Homepage: https://cran.r-project.org/package=tsmethods
Description: CRAN Package 'tsmethods' (Time Series Methods)
 Generic methods for use in a time series probabilistic framework, allowing
 for a common calling convention across packages. Additional methods for time
 series prediction ensembles and probabilistic plotting of predictions is
 included. A more detailed description is available at
 <https://www.nopredict.com/packages/tsmethods> which shows the currently
 implemented methods in the 'tsmodels' framework.

Package: r-cran-tsmining
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 923
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-ggplot2, r-cran-plyr, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tsmining_1.0-1.ca2004.1_all.deb
Size: 633340
MD5sum: e20cfc23c41fd3e43d2ff8d650d2ae7e
SHA1: 781dd859e22475c52026e4a51250208242c78b29
SHA256: 4bafa8ce774a618b5f7d716e62fc54aadc8b3f84131cadcd39e51af56894b954
SHA512: f5abc32fd1af820aebfd3203a1d7a4bbb82c34334bc08c58602e4831eafca0a0e0ec0416614f768299067a42b712949d556577c2f0bf433fbf3879b77482c18b
Homepage: https://cran.r-project.org/package=TSMining
Description: CRAN Package 'TSMining' (Mining Univariate and Multivariate Motifs in Time-Series Data)
 Implementations of a number of functions used to mine numeric time-series
 data. It covers the implementation of SAX transformation, univariate motif
 discovery (based on the random projection method), multivariate motif
 discovery (based on graph clustering), and several functions used for the
 ease of visualizing the motifs discovered. The details of SAX transformation
 can be found in J. Lin. E. Keogh, L. Wei, S. Lonardi, Experiencing SAX: A
 novel symbolic representation of time series, Data Mining and Knowledge
 Discovery 15 (2) (2007) 107-144. Details on univariate motif discovery
 method implemented can be found in B. Chiu, E. Keogh, S. Lonardi,
 Probabilistic discovery of time series motifs, ACM SIGKDD, Washington, DC,
 USA, 2003, pp. 493-498. Details on the multivariate motif discovery method
 implemented can be found in A. Vahdatpour, N. Amini, M. Sarrafzadeh, Towards
 unsupervised activity discovery using multi-dimensional motif detection in
 time series, IJCAI 2009 21st International Joint Conference on Artificial
 Intelligence.

Package: r-cran-tsmisc
Architecture: all
Version: 2016.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1936
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tframeplus, r-cran-zoo, r-cran-quantmod, r-cran-gdata
Suggests: r-cran-tfplot, r-cran-xts, r-cran-timeseries, r-cran-tis
Filename: pool/dists/focal/main/r-cran-tsmisc_2016.8-1-1.ca2004.1_all.deb
Size: 257844
MD5sum: e010f39b3fb63a46df56ca57b5440318
SHA1: b9af430b20d0ac32ce3bc1b09ae91089b8fc0b2b
SHA256: f428182c170299500b35e053bfb2548655ac20423646a0a68aca57238bd41d36
SHA512: 0ec4c65750bab0f69a03f7ae24c70a88f459de011889c15b050df6bbc2b7d78498d6a18dd577ffba9b69cd94d84b730c861b5220c44d78031d67ba018623e1be
Homepage: https://cran.r-project.org/package=TSmisc
Description: CRAN Package 'TSmisc' ('TSdbi' Extensions to Wrap Miscellaneous Data Sources)
 Methods to retrieve data from several different sources. This include
 historical quote data from 'Yahoo' and 'Oanda', economic data from 'FRED',
 and 'xls' and 'csv' data from different sources.  Comprehensive examples of
 all the 'TS*' packages is provided in the vignette Guide.pdf with the
 'TSdata' package.

Package: r-cran-tsmn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tsmn_1.0.0-1.ca2004.1_all.deb
Size: 52468
MD5sum: b3c7b2523acc465f0e8b37ffeaa0960e
SHA1: 1b026f59c244ea5fd584f340c079399b30f7b7cd
SHA256: 9631b8611db5a97fb0d83341019992d1fe53156ec8dfe03e5aa477b922b21a2c
SHA512: 39f172fcf2e0a415e5ba602b57dff7cd5e00f0bc3914cdb74af816b41ba1ee96a6466474cc36dc7e80062ba6b8d76a8237a485da18f7b3a7773d451557d7fd9e
Homepage: https://cran.r-project.org/package=TSMN
Description: CRAN Package 'TSMN' (Truncated Scale Mixtures of Normal Distributions)
 Return the first four moments of the SMN distributions (Normal, Student-t,
 Pearson VII, Slash or Contaminated Normal).

Package: r-cran-tsmodel
Architecture: all
Version: 0.6-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tsmodel_0.6-2-1.ca2004.1_all.deb
Size: 185660
MD5sum: fce5dc8f701eb2d4a29c7776fff87333
SHA1: 4b00b54ece75cc65661431f875ed0e5292901ba9
SHA256: 6b9d0f2495fd829c789beeea3a138ac1bee44110add257767d010ffa7951687e
SHA512: a819c5cf4e011f400ad14694017edc94de4359df07f8e090b736b2fd901cd425196c2535d1a33c9cf24fc848abe48dc5e75ab1bbf1634010bb8aedd0b6dd7a6a
Homepage: https://cran.r-project.org/package=tsModel
Description: CRAN Package 'tsModel' (Time Series Modeling for Air Pollution and Health)
 Tools for specifying time series regression models.

Package: r-cran-tsmsn
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sn, r-cran-mvtnorm, r-cran-numderiv, r-cran-progress
Filename: pool/dists/focal/main/r-cran-tsmsn_0.0.1-1.ca2004.1_all.deb
Size: 59536
MD5sum: 7d6d1725cf1ab8668f05aaf6c0babf82
SHA1: e2d136cf3a0ddd82c0d22ad51a20a251694225d9
SHA256: 98b5325784c603c41823418f90dce86368857206d6b5aa9d7d763650ed2806f7
SHA512: fc22f46864e0e21fbc25b9dbfb77806f180ca24fb07b8864dbcec291df407009864d61d8d52ca5da06203bc710df9f2e56ef0502ec89eedb82842a32c4d02ab0
Homepage: https://cran.r-project.org/package=TSMSN
Description: CRAN Package 'TSMSN' (Truncated Scale Mixtures of Skew-Normal Distributions)
 Return the first four moments, estimation of parameters and sample of the
 TSMSN distributions (Skew Normal, Skew t, Skew Slash or Skew Contaminated
 Normal).

Package: r-cran-tsmysql
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 175
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tssql
Suggests: r-cran-zoo, r-cran-tseries, r-cran-tfplot, r-cran-tframeplus, r-cran-timeseries
Filename: pool/dists/focal/main/r-cran-tsmysql_2015.4-1-1.ca2004.1_all.deb
Size: 114432
MD5sum: 82c3c80245346806fc5d1b2428f745bc
SHA1: 997365c4802f5245f60e22c0d315a41ff92e16cb
SHA256: c687e1fa2b1a06c46d7e200afab349ae28525d554ebecf862e90f7c66f96e834
SHA512: 2c67aa2608d19cb8a50f75fc56b3d3c9af2d0856de135909bd3114196f1acf9f8a3bbb22d5f1be898caa508aa898c845193ed40601a8e2ca6209ccd468c0373a
Homepage: https://cran.r-project.org/package=TSMySQL
Description: CRAN Package 'TSMySQL' ('TSdbi' Extensions for 'MySQL')
 A 'MySQL' interface for 'TSdbi'.  Comprehensive examples of all the 'TS*'
 packages is provided in the vignette Guide.pdf with the 'TSdata' package.

Package: r-cran-tsna
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3953
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-network, r-cran-networkdynamic, r-cran-statnet.common
Suggests: r-cran-networkdynamicdata, r-cran-testthat, r-cran-sna, r-cran-knitr, r-cran-rmarkdown, r-cran-relevent, r-cran-ergm
Filename: pool/dists/focal/main/r-cran-tsna_0.3.6-1.ca2004.1_all.deb
Size: 2442308
MD5sum: eef9006d12f85eb712e3bc374138c886
SHA1: 2db481b081a03fa1df11c824e6d2318e90c8dbbc
SHA256: 19570b477ada17efb428fe51b0b6faa4379cc5b0b6e1c45660629f56430d7a96
SHA512: b35b2079aed020578b5debe81e8301198bca599cbf02be7b6a69af9db2f1aa85dc30387840d782be5f1bd2a062bea6c6f6837db2592ccdcf220d677a32cdfd38
Homepage: https://cran.r-project.org/package=tsna
Description: CRAN Package 'tsna' (Tools for Temporal Social Network Analysis)
 Temporal SNA tools for continuous- and discrete-time longitudinal networks
 having vertex, edge, and attribute dynamics stored in the 'networkDynamic'
 format. This work was supported by grant R01HD68395 from the National
 Institute of Health.

Package: r-cran-tsne
Architecture: all
Version: 0.1-3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tsne_0.1-3.1-1.ca2004.1_all.deb
Size: 22496
MD5sum: f407044f25ca54e90d37ce02e7e5b7ac
SHA1: 146d0f4300bc1da99f30bc8592cff70bf63295ff
SHA256: 7723b463a2f3fd631ac1c4974d084e6b9ecd1c19ba9232ddb749735966b5ce02
SHA512: f6e4e05193d368f8eb19703259471afa224e689baab4c4fc396feb1c8172972f82e7d160fa26cdc46dfb43e1ca931203a98514e8873587724c0c0935a5ced0b2
Homepage: https://cran.r-project.org/package=tsne
Description: CRAN Package 'tsne' (T-Distributed Stochastic Neighbor Embedding for R (t-SNE))
 A "pure R" implementation of the t-SNE algorithm.

Package: r-cran-tsodbc
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 214
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tssql, r-cran-rodbc
Suggests: r-cran-zoo, r-cran-tseries, r-cran-tfplot
Filename: pool/dists/focal/main/r-cran-tsodbc_2015.4-1-1.ca2004.1_all.deb
Size: 148128
MD5sum: a904f602a5517d729b8c441d899c5c8e
SHA1: a6428fbdd7a17cab2037b353c832ceefcfefddcb
SHA256: 9d93ddce868eb1e6837ff1f3e66e0d39875795b60a6cc9c9c3d09560aede4538
SHA512: 0411b58194cbd04a5dfb40be3c1c491b0ad65fade186caafe9fa0b84c5b62c1b733e1647d7917158900c640eb6b85ba4f09fce6abf719a1d9777471b133656e1
Homepage: https://cran.r-project.org/package=TSodbc
Description: CRAN Package 'TSodbc' ('TSdbi' Extensions for ODBC)
 An ODBC interface for 'TSdbi'.  Comprehensive examples of all the 'TS*'
 packages is provided in the vignette Guide.pdf with the 'TSdata' package.

Package: r-cran-tsoutliers
Architecture: all
Version: 0.6-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 294
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tsoutliers_0.6-10-1.ca2004.1_all.deb
Size: 229388
MD5sum: df4371ef090cccbbd63bab3065bff818
SHA1: 6fcad1fb66a0e0fc9fe8909893cd3242ad9fd750
SHA256: cb8138b7f8a2cb01fe4c20f83f33142cf41fe8a8c24649a8db569616fb92e051
SHA512: 03de90465d9a227c3562d63ae6e40650099c82a429fdde838fced7147e838c635ea32126dae35fe918110d745fb08af735ce6b6c62fc8d82e1e104749b8982cb
Homepage: https://cran.r-project.org/package=tsoutliers
Description: CRAN Package 'tsoutliers' (Detection of Outliers in Time Series)
 Detection of outliers in time series following the Chen and Liu (1993)
 <DOI:10.2307/2290724> procedure.  Innovational outliers, additive outliers,
 level shifts, temporary changes and seasonal level shifts are considered.

Package: r-cran-tsphere
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glasso, r-cran-rms
Filename: pool/dists/focal/main/r-cran-tsphere_1.0-1.ca2004.1_all.deb
Size: 53176
MD5sum: 2d1daf557a6aac2dd9a19e3cf2985443
SHA1: a5adbfe6f3af731744a232beefa7a685ae1b8926
SHA256: ceb9baaab4dec39e23d0a2dae76044dc700b71297c97d0d91bba30702f9f81ba
SHA512: 0c2b886bd9ea6fd651e6b6e41154d41f48b0883108d37179307c4bd8e37538da554c2b95907e2b47dcce6063be8e9346f8550fdc446d3790adba2cb5fb939d17
Homepage: https://cran.r-project.org/package=Tsphere
Description: CRAN Package 'Tsphere' (Transposable Sphering for Large-Scale Inference with CorrelatedData)
 Adjusts for correlations among the rows and columns via the Transposable
 Sphering Algorithm when conducting large-scale inference on the rows of a
 data matrix.

Package: r-cran-tspostgresql
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tframeplus, r-cran-tssql, r-cran-rpostgresql
Suggests: r-cran-zoo, r-cran-tseries, r-cran-tfplot
Filename: pool/dists/focal/main/r-cran-tspostgresql_2015.4-1-1.ca2004.1_all.deb
Size: 139036
MD5sum: 42a41ba56bdd792d282ff530f6372e72
SHA1: 619581eb818ad139ddd517e64b8aa33230fc974f
SHA256: ba3a6a68a694e148391f8e02b693d11e12fbd7b95a8f1b5444da912e5ad0e27c
SHA512: 3094928a5359efccffd5d69f6a6c62937f51e7319ae5a8a6eadd9bc7dd44962f2dde694d5649c981a2e61b8323d943a131a8557c06c799b6712c267b05ff9e8a
Homepage: https://cran.r-project.org/package=TSPostgreSQL
Description: CRAN Package 'TSPostgreSQL' ('TSdbi' Extensions for 'PostgreSQL')
 A 'PostgreSQL' interface for 'TSdbi'.  Comprehensive examples of all the
 'TS*' packages is provided in the vignette Guide.pdf with the 'TSdata'
 package.

Package: r-cran-tspred
Architecture: all
Version: 5.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1484
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-forecast, r-cran-kfas, r-cran-mumin, r-cran-wavelets, r-cran-modelmetrics, r-cran-rsnns, r-cran-rlibeemd, r-cran-e1071, r-cran-elmnnrcpp, r-cran-nnet, r-cran-randomforest, r-cran-magrittr, r-cran-plyr, r-cran-dplyr, r-cran-keras, r-cran-tfdatasets
Filename: pool/dists/focal/main/r-cran-tspred_5.1.1-1.ca2004.1_all.deb
Size: 1421008
MD5sum: 3bcf2600e38da330c2049b43e481a1df
SHA1: a2bd1ca4fcef91fbfef43129c6e9ff175a79eb4e
SHA256: 81e0d098df19fd34fbe57483a8c199b84697054d852052176744a927633861ff
SHA512: 75c9e2af618d50934780c10b634a21a78f3d0e2cace76e7454e191edfa891a1a64ab4494c7735412b0a07a79cf45691dffd940a31ef0df57fb55304cd616e36c
Homepage: https://cran.r-project.org/package=TSPred
Description: CRAN Package 'TSPred' (Functions for Benchmarking Time Series Prediction)
 Functions for defining and conducting a time series prediction process
 including pre(post)processing, decomposition, modelling, prediction and
 accuracy assessment. The generated models and its yielded prediction errors
 can be used for benchmarking other time series prediction methods and for
 creating a demand for the refinement of such methods. For this purpose,
 benchmark data from prediction competitions may be used.

Package: r-cran-tspredit
Architecture: all
Version: 1.2.727-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 262
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-desctools, r-cran-e1071, r-cran-elmnnrcpp, r-cran-fnn, r-cran-forecast, r-cran-hht, r-cran-kfas, r-cran-mfilter, r-cran-nnet, r-cran-randomforest, r-cran-wavelets, r-cran-dplyr, r-cran-daltoolbox
Filename: pool/dists/focal/main/r-cran-tspredit_1.2.727-1.ca2004.1_all.deb
Size: 216092
MD5sum: 92518d46f5c3fc501b103c19584413d6
SHA1: 2d1f3d99d52626ffb7b2891b3a5502ee033331b8
SHA256: 9949a2d787a8100f6d5f9eea32c8032a76b2768c6f445e2ed6c4bc76712dfecd
SHA512: 4c33620f63d016c28f0bf872bd10051684ca3990658fb132cb2ecbefa008a7223ac9db29de04abaea2a3c8f3e72be95354e60c3445bf4e08ae8b095128e7db8f
Homepage: https://cran.r-project.org/package=tspredit
Description: CRAN Package 'tspredit' (Time Series Prediction with Integrated Tuning)
 Time series prediction is a critical task in data analysis, requiring not
 only the selection of appropriate models, but also suitable data
 preprocessing and tuning strategies.  TSPredIT (Time Series Prediction with
 Integrated Tuning) is a framework that provides a seamless integration of
 data preprocessing, decomposition, model training, hyperparameter
 optimization, and evaluation.  Unlike other frameworks, TSPredIT emphasizes
 the co-optimization of both preprocessing and modeling steps, improving
 predictive performance.  It supports a variety of statistical and machine
 learning models, filtering techniques, outlier detection, data augmentation,
 and ensemble strategies.  More information is available in Salles et al.
 <doi:10.1007/978-3-662-68014-8_2>.

Package: r-cran-tsqn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-robustbase, r-cran-mass, r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-tsqn_1.0.0-1.ca2004.1_all.deb
Size: 53144
MD5sum: 621168042f980c314a6b87ff0a114ab6
SHA1: beb8bd5990ff2a29eccbf63086db64cf25aa24f4
SHA256: 48925387c0f79f038b1379251c56828d040c05d2a4c814322f1f4566508bf940
SHA512: 5153f54007774ad8f4f7c5637dbca31fbfb4e1a83f8c33f77620ae09f47dffad8bacfd329e7f999e3051b05364b9ba42817314887bdbbf642eadee06b13a6fe2
Homepage: https://cran.r-project.org/package=tsqn
Description: CRAN Package 'tsqn' (Applications of the Qn Estimator to Time Series (Univariate andMultivariate))
 Time Series Qn is a package with applications of the Qn estimator of
 Rousseeuw and Croux (1993) <doi:10.1080/01621459.1993.10476408> to
 univariate and multivariate Time Series in time and frequency domains. More
 specifically, the robust estimation of autocorrelation or autocovariance
 matrix functions from Ma and Genton (2000, 2001)
 <doi:10.1111/1467-9892.00203>, <doi:10.1006/jmva.2000.1942> and Cotta (2017)
 <doi:10.13140/RG.2.2.14092.10883> are provided. The robust
 pseudo-periodogram of Molinares et. al. (2009)
 <doi:10.1016/j.jspi.2008.12.014> is also given. This packages also provides
 the M-estimator of the long-memory parameter d based on the robustification
 of the GPH estimator proposed by Reisen et al. (2017)
 <doi:10.1016/j.jspi.2017.02.008>.

Package: r-cran-tsriadditive
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 95
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-tsriadditive_1.0.0-1.ca2004.1_all.deb
Size: 68864
MD5sum: 43e85fec86b5dd2a00de7b1309a29989
SHA1: 2d06d93759fc7b00c8e9fb2407892ceb019d30c6
SHA256: 1db08b6ac9e64514c0bf845cfa90dd9f130f18c6ba7b33781187c21864765e40
SHA512: 88e360dbacce8a15ab5158b00722ca3f89b712d42b4cf523b8edd1ed1ad24a140635b5fa536ee135e205744e5edecacfb690905d1389224bcc92b9d1cf81ab4f
Homepage: https://cran.r-project.org/package=tsriadditive
Description: CRAN Package 'tsriadditive' (Two Stage Residual Inclusion Additive Hazards Estimator)
 Additive hazards models with two stage residual inclusion method are fitted
 under either survival data or competing risks data. The estimator
 incorporates an instrumental variable and therefore can recover causal
 estimand in the presence of unmeasured confounding under some assumptions.
 A.Ying, R. Xu and J. Murphy. (2019) <doi:10.1002/sim.8071>.

Package: r-cran-tsrobprep
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mass, r-cran-matrix, r-cran-mclust, r-cran-quantreg, r-cran-rdpack, r-cran-texttinyr, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tsrobprep_0.3.2-1.ca2004.1_all.deb
Size: 184856
MD5sum: 6032017ab1dde19e6f6ebabc4488e716
SHA1: 3a98ebea1e1937ad7eecf32e330cde91932b9891
SHA256: 0a06c1d94c40dce87faecac05ba54b059b4b944278a6e50e3371e54fdf4996a9
SHA512: 025392c83c9d20fd059ed630ecc5ab08423174c51a21f3b0a4eda5e0c4124a60e5166bd010170b5ae40e586448e8d1d8ba83f1bd1c37089bf17d3ffa737e3393
Homepage: https://cran.r-project.org/package=tsrobprep
Description: CRAN Package 'tsrobprep' (Robust Preprocessing of Time Series Data)
 Methods for handling the missing values outliers are introduced in this
 package. The recognized missing values and outliers are replaced using a
 model-based approach. The model may consist of both autoregressive
 components and external regressors. The methods work robust and efficient,
 and they are fully tunable. The primary motivation for writing the package
 was preprocessing of the energy systems data, e.g. power plant production
 time series, but the package could be used with any time series data. For
 details, see Narajewski et al. (2021) <doi:10.1016/j.softx.2021.100809>.

Package: r-cran-tss.restrend
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bfast, r-cran-broom, r-cran-strucchange, r-cran-ggplot2, r-cran-rcpproll, r-cran-mblm
Suggests: r-cran-rgl, r-cran-car
Filename: pool/dists/focal/main/r-cran-tss.restrend_0.3.1-1.ca2004.1_all.deb
Size: 297700
MD5sum: e90aec056c628c6e0aeb017a7bdf3b43
SHA1: a2233938b4325d28096c423da3bde9709df68b20
SHA256: 6b53d55fe3a232488a9ca73d3fd74019960b1a2ae667b72cbeb9f11d25d16beb
SHA512: 97a5d8e2cf950790fc3fd3e5c9b90e1c1ac0449d235257706051020e2c8f4ed14d96f127ebe904a91a9bfd9563dcc9471d1f89f26d98e7820366b5dd7fe5ec15
Homepage: https://cran.r-project.org/package=TSS.RESTREND
Description: CRAN Package 'TSS.RESTREND' (Time Series Segmentation of Residual Trends)
 Time Series Segmented Residual Trends is a method for the automated
 detection of land degradation from remotely sensed vegetation and climate
 datasets. TSS-RESTREND incorporates aspects of two existing degradation
 detection methods: RESTREND which is used to control for climate
 variability, and BFAST which is used to look for structural changes in the
 ecosystem. The full details of the testing and justification of the
 TSS-RESTREND method (version 0.1.02) are published in Burrell et al.,
 (2017). <doi:10.1016/j.rse.2017.05.018>. The changes to the method
 introduced in version 0.2.03 focus on the inclusion of temperature as an
 additional climate variable. This allows for land degradation assessment in
 temperature limited drylands. A paper that details this work is currently
 under review. There are also a number of bug fixes and speed improvements.
 Version 0.3.0 introduces additional attribution for eCO2, climate change and
 climate variability the details of which are in press in Burrell et al.,
 (2020).  The version under active development and additional example scripts
 showing how the package can be applied can be found at
 <https://github.com/ArdenB/TSSRESTREND>.

Package: r-cran-tssdmx
Architecture: all
Version: 2016.8-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tframeplus, r-cran-rjsdmx, r-cran-rjava
Suggests: r-cran-tfplot
Filename: pool/dists/focal/main/r-cran-tssdmx_2016.8-1-1.ca2004.1_all.deb
Size: 150264
MD5sum: 6401bb868f1aa39f6b6f2f399299d5db
SHA1: 5884d9de4a7c63610f67275d7ba79d0284eeb8ef
SHA256: a3d1e12d8c35dc5d6af35335c0140ec945fe6df8874fecd18d44e8ad254180d4
SHA512: 752d36f54a277a83c6f3566065710041521f7b829b631004d6967160e75f62673bd252a6d81e92c42ed1aa209365323ce499174afa0518c8ebc1a18b8f8e8e78
Homepage: https://cran.r-project.org/package=TSsdmx
Description: CRAN Package 'TSsdmx' ('TSdbi' Extension to Connect with 'SDMX')
 Methods to retrieve data in the Statistical Data and Metadata Exchange
 ('SDMX') format from several database. (For example, 'EuroStat', the
 European Central Bank, the Organisation for Economic Co-operation and
 Development, the 'Unesco' Institute for Statistics, and the International
 Labor Organization.)  This is a wrapper for package 'RJSDMX'.  Comprehensive
 examples of all the 'TS*' packages is provided in the vignette Guide.pdf
 with the 'TSdata' package.

Package: r-cran-tsselect
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 55
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tsselect_0.1.8-1.ca2004.1_all.deb
Size: 20912
MD5sum: d8df4c5deb83aac51f9d3862daf6ea40
SHA1: 838b9524e139773a4ad2eb752cb4deb2ad7994d4
SHA256: 4cf32263bd6ba7c235dcb41674e2483a0b5e6f818fea0666a95614ff8ea5bb16
SHA512: 360292541020f06ebbc9bc0631f4b4fb62fe7faf6906237704f3ff7d4f42eaa3736b47608d2793fa402b3d5a140fd78e802f94e3e63a588e57e8fdf19bc375bf
Homepage: https://cran.r-project.org/package=tsSelect
Description: CRAN Package 'tsSelect' (Execution of Time Series Models)
 Execution of various time series models and choosing the best one either by
 a specific error metric or by picking the best one by majority vote.  The
 models are based on the "forecast" package, written by Prof. Rob Hyndman.

Package: r-cran-tssim
Architecture: all
Version: 0.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dsa, r-cran-forecast, r-cran-mvtnorm, r-cran-timedate, r-cran-tsbox, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-tssim_0.2.7-1.ca2004.1_all.deb
Size: 87904
MD5sum: 7b84735ec66c18fa3cf62f3d50228cd8
SHA1: fa1fd8dd6689f6e589addeeade93a2ddc5b3cc5c
SHA256: 07436bd0e63446d4a203037c86dda81621d24a1f772a554f366f74b94428b0c9
SHA512: 65b5300234bdec86bc9157e803e333b52af632e2e5f055a4115a88f56cf6fe9335eabd4ce5bbcb494e9f8f726983ee9643e4ca147eb1fcb2ff704908a71e23c4
Homepage: https://cran.r-project.org/package=tssim
Description: CRAN Package 'tssim' (Simulation of Daily and Monthly Time Series)
 Flexible simulation of time series using time series components, including
 seasonal, calendar and outlier effects. Main algorithm described in Ollech,
 D. (2021) <doi:10.1515/jtse-2020-0028>.

Package: r-cran-tssmoothing
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 459
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-gridextra, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-tssmoothing_0.1.0-1.ca2004.1_all.deb
Size: 436044
MD5sum: 5d66270788f8260a2fe2ad00323ee2ee
SHA1: fb947bcfdc3cdc0b956b116db9f402eb5a21496f
SHA256: 8ec1a2b369df7aace31ea2e3f4985156ecc9d9f83e534caa85217594cd670aa0
SHA512: 99561b57025aadd82fdebc5cb8e484259f838ff7a9784becaba15d76fc55b1dab5478cdc794be611ce87fe517c86ae51e15b14d1a0b1d3b8291dec17d1d79f6f
Homepage: https://cran.r-project.org/package=TSsmoothing
Description: CRAN Package 'TSsmoothing' (Trend Estimation of Univariate and Bivariate Time Series withControlled Smoothness)
 It performs the smoothing approach provided by penalized least squares for
 univariate and bivariate time series, as proposed by Guerrero (2007) and
 Gerrero et al. (2017).  This allows to estimate the time series trend by
 controlling the amount of resulting (joint) smoothness.  --- Guerrero, V.M
 (2007) <DOI:10.1016/j.spl.2007.03.006>.  Guerrero, V.M; Islas-Camargo, A.
 and Ramirez-Ramirez, L.L. (2017) <DOI:10.1080/03610926.2015.1133826>.

Package: r-cran-tssql
Architecture: all
Version: 2017.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-tframe, r-cran-tsdbi, r-cran-tframeplus, r-cran-zoo
Suggests: r-cran-tseries, r-cran-tis, r-cran-tfplot, r-cran-rmysql, r-cran-rsqlite
Filename: pool/dists/focal/main/r-cran-tssql_2017.4-1-1.ca2004.1_all.deb
Size: 64480
MD5sum: f5ffa4500b30100ec61834f0bbbac187
SHA1: c4e63952c177769ef2c3b47181323a4bd0fd1cb8
SHA256: 995d986a7271e00bde3f06305d514f86008deb18446b3c454dfa71224b9a5f45
SHA512: 86f2fa9ce670577dcdeb109a5bacc5ffad9bb3d76bb3c411513282a22a69efbb6d11600afdefb6676bb2f6abce7c114b269bcdb30bb2dfa54834272222d5f80e
Homepage: https://cran.r-project.org/package=TSsql
Description: CRAN Package 'TSsql' (Generic SQL Helper Functions for 'TSdbi' SQL Plugins)
 Standard SQL query functions used by SQL plugins packages for the 'TSdbi'
 interface to time series databases.  It will mainly be used by other
 packages rather than directly by end users. The one exception is the
 function 'TSquery' which can be used to construct a time series from a
 database containing observations over time (e.g. balance statements for
 multiple years), but where the database is not specifically designed to
 store time series (as with other 'TSdbi' SQL plugin packages).
 Comprehensive examples of all the 'TS*' packages is provided in the vignette
 Guide.pdf with the 'TSdata' package.

Package: r-cran-tssqlite
Architecture: all
Version: 2015.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsdbi, r-cran-dbi, r-cran-tframe, r-cran-tframeplus, r-cran-tssql, r-cran-rsqlite
Suggests: r-cran-zoo, r-cran-tseries, r-cran-tfplot
Filename: pool/dists/focal/main/r-cran-tssqlite_2015.4-1-1.ca2004.1_all.deb
Size: 227348
MD5sum: cd38543da2d77e2382c2c1d6d68f6280
SHA1: d617ec96983d359fe4b60d6b85e3d4fcb454f2d9
SHA256: 62dcc5c8a488b11323be71647abae6fc14b80f3f584ba52292a937e567a2d9e1
SHA512: c88a0cf3747831c73bd0d439525ae53d85d01dcec87ccc94b4ee23b01ff89e6d86f8963c4797896fbd851d5200c4fe2853f2870ddef55a5d7c1761feb68cde16
Homepage: https://cran.r-project.org/package=TSSQLite
Description: CRAN Package 'TSSQLite' ('TSdbi' Extensions for 'SQLite')
 An 'SQLite' interface for 'TSdbi'.  Comprehensive examples of all the 'TS*'
 packages is provided in the vignette Guide.pdf with the 'TSdata' package.

Package: r-cran-tsstudio
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4465
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-forecast, r-cran-forecasthybrid, r-cran-lubridate, r-cran-magrittr, r-cran-plotly, r-cran-purrr, r-cran-rcolorbrewer, r-cran-reshape2, r-cran-scales, r-cran-tidyr, r-cran-tsibble, r-cran-viridis, r-cran-xts, r-cran-zoo
Suggests: r-cran-devtools, r-cran-dt, r-cran-knitr, r-cran-quantmod, r-cran-rmarkdown, r-cran-ukgrid
Filename: pool/dists/focal/main/r-cran-tsstudio_0.1.7-1.ca2004.1_all.deb
Size: 1262652
MD5sum: 63c8e1070ef106ac5a601a90ec9769d7
SHA1: 2f2fd2b6af43fbafd83ef638dcf726f044a92fb0
SHA256: 2843090ba2681f8cf032459800bcfc606fa2e8d650bfd0c363035ba07d301205
SHA512: a09047fac0f5459c79f4598ce175610354c40fea1d5ef0a3a79ef4e3e6c10fc5aac9e17c4170a50560aea2ce7dc3e19196de5097ff6610c47e556ca4d8ee27a0
Homepage: https://cran.r-project.org/package=TSstudio
Description: CRAN Package 'TSstudio' (Functions for Time Series Analysis and Forecasting)
 Provides a set of tools for descriptive and predictive analysis of time
 series data. That includes functions for interactive visualization of time
 series objects and as well utility functions for automation time series
 forecasting.

Package: r-cran-tssvm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-e1071, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tssvm_0.1.0-1.ca2004.1_all.deb
Size: 13796
MD5sum: e9f43f1d6810ee78d5900959c2164d12
SHA1: 23e1c7c37e631fcf5346057d3cc0de1d08e50f35
SHA256: 6d9f826160c8cbe31f01d9982e7d27288b97781666065e9b63d0b4068a9885c0
SHA512: a7fbd47552d37a415d3a1c3b58a54835e11379f8a022094361035827b97118998026c921545f8496950b98b12ba3347001fd4c6dfc07d045f8c966582b5cc5af
Homepage: https://cran.r-project.org/package=TSSVM
Description: CRAN Package 'TSSVM' (Time Series Forecasting using SVM Model)
 Implementation and forecasting univariate time series data using the Support
 Vector Machine model. Support Vector Machine is one of the prominent machine
 learning approach for non-linear time series forecasting. For method details
 see Kim, K. (2003) <doi:10.1016/S0925-2312(03)00372-2>.

Package: r-cran-tstests
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tsmethods, r-cran-data.table, r-cran-flextable, r-cran-rdpack, r-cran-car, r-cran-ks, r-cran-xts
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-sandwich, r-cran-testthat, r-cran-tsdistributions, r-cran-tsgarch
Filename: pool/dists/focal/main/r-cran-tstests_1.0.1-1.ca2004.1_all.deb
Size: 2141688
MD5sum: b539b28c466b13cde05fafa70ecded4b
SHA1: 05ad5d80c76ed6851fef65b7be9beb4884546dec
SHA256: 74f62df485d3ae9565fc085ce8b7ab93b2f734a02ddad9ae4c7beacbdeded932
SHA512: b6c2010e3eb75f2b4460055cefc836f096a2e42ca30b3c876dfaf28b53b09b9d350891b04f96d00269f5fa02072fcdefb9d2218c03b9fdf9c83ab9269f066115
Homepage: https://cran.r-project.org/package=tstests
Description: CRAN Package 'tstests' (Time Series Goodness of Fit and Forecast Evaluation Tests)
 Goodness of Fit and Forecast Evaluation Tests for timeseries models.
 Includes, among others, the Generalized Method of Moments (GMM)
 Orthogonality Test of Hansen (1982), the Nyblom (1989) parameter constancy
 test, the sign-bias test of Engle and Ng (1993), and a range of tests for
 value at risk and expected shortfall evaluation.

Package: r-cran-tstools
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2038
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-zoo, r-cran-data.table, r-cran-jsonlite, r-cran-xts, r-cran-yaml
Suggests: r-cran-knitr, r-cran-openxlsx, r-cran-reshape2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tstools_0.4.3-1.ca2004.1_all.deb
Size: 1349484
MD5sum: ad7c01d156c3ecc13316a07fc7a20e66
SHA1: ddb213f548516c892879a67513c9f9c2a1ba18d9
SHA256: 5967799a8c775ca6e758292aa5d2bcd508b7819310fc5fb2d58316451ab77236
SHA512: 626245bce355bd46b741ed781939d978035b183995c729d4da6cb14ab91a1778f235d9c5547f419eca7b2d5ad2c4cd9b9d8c2972753725602ff1429d2da441d0
Homepage: https://cran.r-project.org/package=tstools
Description: CRAN Package 'tstools' (A Time Series Toolbox for Official Statistics)
 Plot official statistics' time series conveniently: automatic legends,
 highlight windows, stacked bar chars with positive and negative
 contributions, sum-as-line option, two y-axes with automatic horizontal
 grids that fit both axes and other popular chart types.  'tstools' comes
 with a plethora of defaults to let you plot without setting an abundance of
 parameters first, but gives you the flexibility to tweak the defaults. In
 addition to charts, 'tstools' provides a super fast, 'data.table' backed
 time series I/O that allows the user to export / import long format, wide
 format and transposed wide format data to various file types.

Package: r-cran-tstr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 264
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-stringdist, r-cran-data.table
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-tstr_1.2-1.ca2004.1_all.deb
Size: 180776
MD5sum: 2455435a32f2a4d496f5eefd91b1387e
SHA1: 5faabeabb425b75615ece442568872ac3b3ee3a3
SHA256: 43f9d6b189fa3d33ae769ee2a7ace44cad0f0a7b7496b36c9cac95e69eb7283c
SHA512: d2ae36b293b48666ec452d9382fa6d5cb0aa21ca1cb61a7a561f6e57f7532ffe413b16a1869d34db40fda5c13ec1738aa86f8a772a4e034bbf4fdebfc530e8b7
Homepage: https://cran.r-project.org/package=TSTr
Description: CRAN Package 'TSTr' (Ternary Search Tree for Auto-Completion and Spell Checking)
 A ternary search tree is a type of prefix tree with up to three children and
 the ability for incremental string search. The package uses this ability for
 word auto-completion and spell checking. Includes a dataset with the 10001
 most frequent English words.

Package: r-cran-tstutorial
Architecture: all
Version: 1.2.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-tstutorial_1.2.7-1.ca2004.1_all.deb
Size: 473248
MD5sum: 30c2a3a41e13aa795ebebe0fb17c3892
SHA1: fd73e7ad95a9da681e0a090ae47dc73582029632
SHA256: ed1dca69ee2664f32ec77a00a3b8c91b80f6c5c0c25321b4aceba7b297db88f9
SHA512: 9bd68cf4584b7ac95ba8ebe21db42c8cc8b8a94d01b1e548083e9af731b498d0dcc1eda4ae6e3edc6c56e4f28855811b29abbb58ce72ee9a436e2c89698656af
Homepage: https://cran.r-project.org/package=TSTutorial
Description: CRAN Package 'TSTutorial' (Fitting and Predict Time Series Interactive Laboratory)
 Interactive laboratory of Time Series based in Box-Jenkins methodology.

Package: r-cran-tsutils
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-forecast, r-cran-mapa, r-cran-plotrix
Suggests: r-cran-thief
Filename: pool/dists/focal/main/r-cran-tsutils_0.9.4-1.ca2004.1_all.deb
Size: 209300
MD5sum: 107c2e6d45e3bb778a22b765d3220246
SHA1: 354da63c99d78d18e2b158acb17ad6d34e14bf52
SHA256: b2afd4cf67f40478c68cd6decfb96888c12d9ecdec82346904ff914cd959b7e8
SHA512: 06b038e0c5cd9a38b36b684c0ccb946c313cb65d65125455ff5224964f7861b2042c822c562d2dc66d785efca52a55601ca8e7f0c05d9dcb25363a581d9c8bc2
Homepage: https://cran.r-project.org/package=tsutils
Description: CRAN Package 'tsutils' (Time Series Exploration, Modelling and Forecasting)
 Includes: (i) tests and visualisations that can help the modeller explore
 time series components and perform decomposition; (ii) modelling shortcuts,
 such as functions to construct lagmatrices and seasonal dummy variables of
 various forms; (iii) an implementation of the Theta method; (iv) tools to
 facilitate the design of the forecasting process, such as ABC-XYZ analyses;
 and (v) "quality of life" functions, such as treating time series for
 trailing and leading values.

Package: r-cran-tsvc
Architecture: all
Version: 1.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotrix, r-cran-mgcv, r-cran-vgam, r-cran-tibble
Suggests: r-cran-aer
Filename: pool/dists/focal/main/r-cran-tsvc_1.7.2-1.ca2004.1_all.deb
Size: 128240
MD5sum: c15984a48ea078c3a67b940140e7ac13
SHA1: 58778bd0cb6a1c7f2524f590e30619508ed4dcc6
SHA256: 5689a548bd8631be476d6e428636542e7d113fa9043df35c1927d89eb4465599
SHA512: 8df5efbd2c29b9ab8f79283679917ebf9207b84bc431a3da1b77ef70cb07fe4ea68ba9b0f1b9ed375ea4b9c66d54c013feacf3035871a96d31370e509dcd7e28
Homepage: https://cran.r-project.org/package=TSVC
Description: CRAN Package 'TSVC' (Tree-Structured Modelling of Varying Coefficients)
 Fitting tree-structured varying coefficient models (Berger et al. (2019),
 <doi:10.1007/s11222-018-9804-8>). Simultaneous detection of covariates with
 varying coefficients and effect modifiers that induce varying coefficients
 if they are present.

Package: r-cran-tsviz
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-lubridate, r-cran-plotly, r-cran-shiny, r-cran-miniui, r-cran-forecast, r-cran-ggplot2, r-cran-magrittr, r-cran-shinyhelper
Suggests: r-cran-testthat, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-tsviz_0.1.0-1.ca2004.1_all.deb
Size: 62816
MD5sum: d0688ed1e6105a207b38dc1ef4188f42
SHA1: 8fdfee46d115a57e61178fbfe0fa3ee663cf3dac
SHA256: 1276464f0677eaeedff032e787243e4c68415236a9ad607732f6abc7d67507fc
SHA512: e40a8c8f7e3b55268661514aad7050992f754dc8658581148be5c963bd6c03261702fb858cf6e827ede10c230c1cb6fab8838eb1aaf4d22047118ae66b22b1e5
Homepage: https://cran.r-project.org/package=tsviz
Description: CRAN Package 'tsviz' (Easy and Interactive Time Series Visualization)
 An 'RStudio' add-in to visualize time series. Time series are searched in
 the global environment as data.frame objects with a column of type date and
 a column of type numeric. Interactive charts are produced using 'plotly'
 package.

Package: r-cran-tsvr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-tsvr_1.0.2-1.ca2004.1_all.deb
Size: 400476
MD5sum: a309cf21ad6937b519db0d9019d686a1
SHA1: cdffabc9f5de1c7dc7d4b5948c25c19a696df8d4
SHA256: 0b8fc717d8ef26e2a064fea0949c333ec77910a45302b151f1de101b548af3a9
SHA512: 5ce44ad30d68f807321111bba38aade0e91a5f1729c74693e55ea700e8b49c14003b6c6f2823592d8b6300abed4a14deb45759efb3a365a62f8f52dd59292daa
Homepage: https://cran.r-project.org/package=tsvr
Description: CRAN Package 'tsvr' (Timescale-Specific Variance Ratio for Use in Community Ecology)
 Tools for timescale decomposition of the classic variance ratio of community
 ecology. Tools are as described in Zhao et al (in prep), extending commonly
 used methods introduced by Peterson et al (1975) <doi: 10.2307/1936306>.

Package: r-cran-tswge
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1136
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-signal, r-cran-polynomf, r-cran-mass, r-cran-waveslim, r-cran-astsa, r-cran-tidyverse, r-cran-zoo, r-cran-plotrix, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-nnfor, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-tswge_2.2.0-1.ca2004.1_all.deb
Size: 1054488
MD5sum: ae3b86ee52ac1d22241f7b96140e5c8a
SHA1: ae77b7158b5a2705fb93aad822936f5bddd5b950
SHA256: 47260cf535f1c073edff228d07c572c157a3053140bbdb1bb905048603fca394
SHA512: d13bfe51954f3457ddc5021e662caf090ceaba2b582bc7dc1f85b6de81f983375be067b692b0ec9cec51544e31da16d73c16adca721a44f14f16097634df8592
Homepage: https://cran.r-project.org/package=tswge
Description: CRAN Package 'tswge' (Time Series for Data Science)
 Accompanies the texts Time Series for Data Science with R by Woodward,
 Sadler and Robertson & Applied Time Series Analysis with R, 2nd edition by
 Woodward, Gray, and Elliott.  It is helpful for data analysis and for time
 series instruction.

Package: r-cran-tt
Architecture: all
Version: 0.98-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dt, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-data.tree, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-tt_0.98-1.ca2004.1_all.deb
Size: 202344
MD5sum: 555283be6f247dd3d120eacf96ba73a3
SHA1: 77f37b5b73669cf5cf15fde4f07fed4e17b39c19
SHA256: ceca377dd93af7a219ccae6ae79bfeb63aa5513803f96667e3388277e67bab34
SHA512: 8286b10490bf69637c2ba1586e46965c54f7b441d4e62e5024aa089d718042f14431846a1302ca34c81de147970a6d1c4f44dfbe05ef40d0c22225da39e997c3
Homepage: https://cran.r-project.org/package=TT
Description: CRAN Package 'TT' (Display Tree Structured Data using Datatable Widget (DT))
 Wrapper of datatable widget, allowing display of data.tree objects.  All
 arguments of the data.tree become columns and each node is a row.  Adds
 column with buttons allowing folding and unfolding the levels.

Package: r-cran-ttainterfacetrendanalysis
Architecture: all
Version: 1.5.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2750
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pastecs, r-cran-reshape, r-cran-e1071, r-cran-relimp, r-cran-multcomp, r-cran-rkt, r-cran-stlplus, r-cran-nlme, r-cran-tcltk2, r-cran-mvtnorm, r-cran-zoo, r-cran-data.table, r-cran-wql
Filename: pool/dists/focal/main/r-cran-ttainterfacetrendanalysis_1.5.10-1.ca2004.1_all.deb
Size: 2252512
MD5sum: fc8f5514d5d271d0392832e52831db54
SHA1: 21637b0ddfe6c154f42bdc10b7dbbb1182cba9e8
SHA256: a86c7a99c29c978a955d4c4d8f16f0f6714564c535a4ca5bac40117fd8dacab8
SHA512: d6199f28b939c44a5b2bf0c361969f20034cb6e4235e9b7cbd2aadbc5ad84693bd713bac1a96b9539c3a9aef14f7f2d8c59bcb128d0f2459ad91910207480dd7
Homepage: https://cran.r-project.org/package=TTAinterfaceTrendAnalysis
Description: CRAN Package 'TTAinterfaceTrendAnalysis' (Temporal Trend Analysis Graphical Interface)
 This interface was created to develop a standard procedure to analyse
 temporal trend in the framework of the OSPAR convention.  The analysis
 process run through 4 successive steps : 1) manipulate your data, 2) select
 the parameters you want to analyse, 3) build your regulated time series, 4)
 perform diagnosis and analysis and 5) read the results.  Statistical
 analysis call other package function such as Kendall tests or cusum()
 function.

Package: r-cran-ttbbeer
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ttbbeer_1.1.0-1.ca2004.1_all.deb
Size: 31164
MD5sum: 243495f3e686db13ee4a0ff21ca7d705
SHA1: 615b8e4650cab8aa130ef5011c37392104328ab8
SHA256: 39732e7c348d54bf939215788444e5c2a6d5dbbceebaa187a44db9eb7a886e89
SHA512: 93fca97e9f4a1161caac75155a8319e80158ec634dc146bb76cfecf20e19e63a3cf7a40a094c831b4a9478a3b59db6a129807fe8664e80aad4e195262b320d87
Homepage: https://cran.r-project.org/package=ttbbeer
Description: CRAN Package 'ttbbeer' (US Beer Statistics from TTB)
 U.S. Department of the Treasury, Alcohol and Tobacco Tax and Trade Bureau
 (TTB) collects data and reports on monthly beer industry production and
 operations. This data package includes a collection of 10 years (2006 -
 2015) worth of data on materials used at U.S. breweries in pounds reported
 by the Brewer's Report of Operations and the Quarterly Brewer's Report of
 Operations forms, ready for data analysis. This package also includes
 historical tax rates on distilled spirits, wine, beer, champagne, and
 tobacco products as individual data sets.

Package: r-cran-ttca
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1311
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-quantreg, r-cran-tcltk2, r-cran-rismed, r-cran-venndiagram, r-cran-mass
Filename: pool/dists/focal/main/r-cran-ttca_0.1.1-1.ca2004.1_all.deb
Size: 1281864
MD5sum: 708481f4174b4e61d564460b359b5e47
SHA1: b2d53ec6cc6999ef6f0506b8abb0b6813c8d0755
SHA256: 103bbc8d0769b86b7e68b1076320e8c6dabbc3ed00bb82cc5a4388e0e9ebca07
SHA512: 9efc281695359f9f454142b31facfe7031d8e8272f95d7cdb7a6fd1a288b33c6131921e7380710cd01c26adc4045f8122bba5b93537a3721cadb1735055a211e
Homepage: https://cran.r-project.org/package=TTCA
Description: CRAN Package 'TTCA' (Transcript Time Course Analysis)
 The analysis of microarray time series promises a deeper insight into the
 dynamics of the cellular response following stimulation. A common
 observation in this type of data is that some genes respond with quick,
 transient dynamics, while other genes change their expression slowly over
 time. The existing methods for detecting significant expression dynamics
 often fail when the expression dynamics show a large heterogeneity.
 Moreover, these methods often cannot cope with irregular and sparse
 measurements. The method proposed here is specifically designed for the
 analysis of perturbation responses. It combines different scores to capture
 fast and transient dynamics as well as slow expression changes, and performs
 well in the presence of low replicate numbers and irregular sampling times.
 The results are given in the form of tables including links to figures
 showing the expression dynamics of the respective transcript. These allow to
 quickly recognise the relevance of detection, to identify possible false
 positives and to discriminate early and late changes in gene expression. An
 extension of the method allows the analysis of the expression dynamics of
 functional groups of genes, providing a quick overview of the cellular
 response. The performance of this package was tested on microarray data
 derived from lung cancer cells stimulated with epidermal growth factor
 (EGF). Paper: Albrecht, Marco, et al. (2017)<DOI:10.1186/s12859-016-1440-8>.

Package: r-cran-ttcg
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ttcg_1.0.1-1.ca2004.1_all.deb
Size: 30328
MD5sum: 18873bff89de28d0dff40d90aaa78774
SHA1: a72eb201cb01ef108e5708a0050bf2753803bf0f
SHA256: ac62473c60853a8f50680b50396ea503d7e333bd1465a1558add0332fd0568c6
SHA512: aaf35d338b8950902dfb6868f13c68f0bbf0b1fe80f8706af4af178e26be5e9053da7514eceaedf9030f826acc2c4f6e93dc60f23139e6c5afc6b093cded426a
Homepage: https://cran.r-project.org/package=ttcg
Description: CRAN Package 'ttcg' (Three-Term Conjugate Gradient for Unconstrained Optimization)
 Some accelerated three-term conjugate gradient algorithms implemented purely
 in R with the same user interface as optim(). The search directions and
 acceleration scheme are described in Andrei, N. (2013)
 <doi:10.1016/j.amc.2012.11.097>, Andrei, N. (2013)
 <doi:10.1016/j.cam.2012.10.002>, and Andrei, N (2015)
 <doi:10.1007/s11075-014-9845-9>. Line search is done by a hybrid algorithm
 incorporating the ideas in Oliveia and Takahashi (2020)
 <doi:10.1145/3423597> and More and Thuente (1994)
 <doi:10.1145/192115.192132>.

Package: r-cran-ttdo
Architecture: all
Version: 0.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tinytest, r-cran-diffobj, r-cran-tinysnapshot, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-ttdo_0.0.10-1.ca2004.1_all.deb
Size: 37748
MD5sum: 7df6b85b09f1dae9a81c00c7511c3c78
SHA1: 59bbbed6d2eb424000093ffc1d39b4f0c90e2a0d
SHA256: 178dac95a8ae5937833940c5c3d52191e07b36c48152e78aad0f89a2c45218dc
SHA512: bf1aa63beccc7d2dade7c10e7f38251fda7a98f6939744b91b4b3766ac73fb70566a6d1f973e4e6524eb629c5129b1813e5c9c98003da972ed14d6b1b0c1319c
Homepage: https://cran.r-project.org/package=ttdo
Description: CRAN Package 'ttdo' (Extend 'tinytest' with 'diffobj' and 'tinysnapshot')
 The 'tinytest' package offers a light-weight zero-dependency unit-testing
 framework to which this package adds support via the 'diffobj' package for
 'diff'-style textual comparison of R objects, as well as via 'tinysnapshot'
 package for visual differences in plots.

Package: r-cran-ttmoment
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ttmoment_1.0-1.ca2004.1_all.deb
Size: 29800
MD5sum: 535d3a4d994ccb51d49a89810ea9bff5
SHA1: fb6e6b745271b5d45928396314c0c57431db6e0a
SHA256: 4065e8c2f3e28b93977154bdc6e18058ad667290e0411707a80bc65a4d05a40e
SHA512: 3dce87ad385b5d742fc18f80baf4c18e55aea758f618e7a86ee3d1d785c760e16946361f67c5de1f58c2cbea8fd805cff1c54600950a1f96dac983766b5bc71b
Homepage: https://cran.r-project.org/package=TTmoment
Description: CRAN Package 'TTmoment' (Sampling and Calculating the First and Second Moments for theDoubly Truncated Multivariate t Distribution)
 Computing the first two moments of the truncated multivariate t (TMVT)
 distribution under the double truncation. Appling the slice sampling
 algorithm to generate random variates from the TMVT distribution.

Package: r-cran-ttolr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-latticeextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown, r-cran-mass, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ttolr_0.2.3-1.ca2004.1_all.deb
Size: 188488
MD5sum: 83f35f75336f10bb263ffc75f228e677
SHA1: f3e1da72ddddd90ef2f4a6fe5b6e609e11b4ffda
SHA256: 9764a7121ef662e7973213aec9b43547e462f09dd88543236bbb4d68af53db72
SHA512: cd0ec10c637c57b958f0ca936323602984d8b0271b3c4a7c5e7183605b35624cb79ee23d0b3fad80de5813a98633a050b3d30acad623a2a2653997349f3b9444
Homepage: https://cran.r-project.org/package=tTOlr
Description: CRAN Package 'tTOlr' (Likelihood Ratio Statistics for One or Two Sample T-Tests)
 Likelihood ratio and maximum likelihood statistics are provided that can be
 used as alternatives to p-values Colquhoun (2017) <doi:10.1098/rsos.171085>.
 Arguments can be either p-values or t-statistics.  together with degrees of
 freedom. For the function 'tTOlr', the argument 'twoSided' has the default
 'twoSided = TRUE'.

Package: r-cran-tts
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mgcv, r-cran-sfsmisc
Filename: pool/dists/focal/main/r-cran-tts_1.1-1.ca2004.1_all.deb
Size: 84324
MD5sum: f433e7d3491aa098ddc31c7a1d78ab78
SHA1: d710254b76f7f5b99fe3f6b1c7d2be8a6cf6c8de
SHA256: 8543a4f448007632cd173b16ebc642713d3cf30c2cea4ce66caebac0fada0809
SHA512: dc1038d5876a020797cb5fc7d5b8e8ec26b1a5c98ce3662d055e3f4d39c63d91bf7ac66c03f546580ed75e79ef77baff4e6f3a0e5de16b13549f91a37d310279
Homepage: https://cran.r-project.org/package=TTS
Description: CRAN Package 'TTS' (Master Curve Estimates Corresponding to Time-TemperatureSuperposition)
 Time-Temperature Superposition analysis is often applied to frequency
 modulated data obtained by Dynamic Mechanic Analysis (DMA) and Rheometry in
 the analytical chemistry and physics areas. These techniques provide
 estimates of material mechanical properties (such as moduli) at different
 temperatures in a wider range of time. This package provides the
 Time-Temperature superposition Master Curve at a referred temperature by the
 three methods: the two wider used methods, Arrhenius based methods and WLF,
 and the newer methodology based on derivatives procedure.  The Master Curve
 is smoothed by B-splines basis. The package output is composed of plots of
 experimental data, horizontal and vertical shifts, TTS data, and TTS data
 fitted using B-splines with bootstrap confidence intervals.

Package: r-cran-ttscreening
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrixstats, r-bioc-sva, r-bioc-limma, r-cran-corpcor, r-cran-simsalapar, r-cran-mass
Suggests: r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-ttscreening_1.6-1.ca2004.1_all.deb
Size: 54408
MD5sum: b7ad14cf8f9764aa9d5e3c9906c17da2
SHA1: 263095b79a2f6c240fdc807cbf4b6a22b46021cd
SHA256: f9a73bc8b0bdec677bac45feb7bdccf41551c772acb804d679f218512cda6e62
SHA512: 5d6a5e455fb8fb9922421aa2acab7c9753f2b64c74e26513b556af7c105747c190b6c1b3a6e58fe54444c924b39e8f166dec2b338817d517a8b7ab43a9d637af
Homepage: https://cran.r-project.org/package=ttScreening
Description: CRAN Package 'ttScreening' (Genome-Wide DNA Methylation Sites Screening by Use of Trainingand Testing Samples)
 A screening process utilizing training and testing samples to filter out
 uninformative DNA methylation sites. Surrogate variables (SVs) of DNA
 methylation are included in the filtering process to explain unknown factor
 effects.

Package: r-cran-ttservice
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-matrix, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-ttservice_0.4.1-1.ca2004.1_all.deb
Size: 32084
MD5sum: a5925869e0ac030a5e89aeb4ccb24efb
SHA1: 30c362f1360e03899338e737e75b9684d6f60045
SHA256: e420cc9a48c50858e616ebe8b2e740a5987b9857be93c865d98e6ab5e843aa0c
SHA512: c09c346a67569e0743ff93be0bad9fa8df48a52dd154f00426ecfc164026ef000fe6d564c8d2ff6c5a76bb9f284423a2775f6c8c95dee96774dcc224b00d7f48
Homepage: https://cran.r-project.org/package=ttservice
Description: CRAN Package 'ttservice' (A Service for Tidy Transcriptomics Software Suite)
 It provides generic methods that are used by more than one package, avoiding
 conflicts. This package will be imported by 'tidySingleCellExperiment' and
 'tidyseurat'.

Package: r-cran-ttt
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-formula, r-cran-knitr, r-cran-htmltools
Suggests: r-cran-rmarkdown, r-cran-table1, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-ttt_1.0-1.ca2004.1_all.deb
Size: 59008
MD5sum: eebcc9ea56704a7dd6ee359dede4d9e3
SHA1: f6310c2bfb0bfa1db18c86c09b04317c3c459c40
SHA256: 5fef27c19ad88c1ddd7e370ee1de4729681de6f3b0010e452bddd75507a58fab
SHA512: d94f0e92042cf35570b940148a93b3f3b95f9c8af9c5c3712511f7de0ed5ca51888795e63b190d966c175cb29523efb8233013fe647df1402acfe0b387de7d56
Homepage: https://cran.r-project.org/package=ttt
Description: CRAN Package 'ttt' (The Table Tool)
 Create structured, formatted HTML tables of in a flexible and convenient
 way.

Package: r-cran-tttensor
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rtensor, r-cran-tensorr, r-cran-ptak, r-cran-matrix
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tttensor_1.0.1-1.ca2004.1_all.deb
Size: 46096
MD5sum: 6e603ef1f5d2ef893632ace5d6102fd7
SHA1: 3e1e8c9ee4b612fc9ce8e0f8072755e0b5431ccb
SHA256: dcf46e1e43637f81fc8f8a4de7b16e8867426f9f15475e23f6c352c231885a4f
SHA512: a8afc3a9d91600527e494b6de4ded3209cf30364dd1312c18880f869528d921ea2c0f9cff445dee21ff7587dd45ae6144c6d8e020b3662c51115a753a46fcc8f
Homepage: https://cran.r-project.org/package=ttTensor
Description: CRAN Package 'ttTensor' (Tensor-Train Decomposition)
 Tensor-train is a compact representation for higher-order tensors. Some
 algorithms for performing tensor-train decomposition are available such as
 TT-SVD, TT-WOPT, and TT-Cross. For the details of the algorithms, see I. V.
 Oseledets (2011) <doi:10.1137/090752286>, Yuan Longao, et al (2017)
 <arXiv:1709.02641>, I. V. Oseledets (2010) <doi:10.1016/j.laa.2009.07.024>.

Package: r-cran-tttplot
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tttplot_1.1.1-1.ca2004.1_all.deb
Size: 17832
MD5sum: 2b15098638aabda5fd10b1bb00d34b66
SHA1: d2e4fd40200a4474b314a8075417104beef5dc02
SHA256: c731df8e64716dff88247b06a9f7e7f3cf532d15577c066121d396bbcac1918e
SHA512: 580898e5819c385b1ded290744d2439064ea7e10daf7dfd93e19dd498e1d9a6dc758b6abc4ed759e33184a49cf0bd7dcee89c6d26ff82425e528ab8ee5dff064
Homepage: https://cran.r-project.org/package=tttplot
Description: CRAN Package 'tttplot' (Time to Target Plot)
 Implementation of Time to Target plot based on the work of Ribeiro and
 Rosseti (2015) <DOI:10.1007/s11590-014-0760-8>, that describe a numerical
 method that gives the probability of an algorithm A finds a solution at
 least as good as a given target value in smaller computation time than
 algorithm B.

Package: r-cran-ttutils
Architecture: all
Version: 1.0-1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ttutils_1.0-1.1-1.ca2004.1_all.deb
Size: 36792
MD5sum: 1256006c27db2cb433ce48a86f45d62e
SHA1: 6be896246c43c47f62328115f6849c2ce85b31ac
SHA256: 1b5b2b4767d403ae56df6b5efc489c8383b209ccdc7e15817c4d9aebd754bed0
SHA512: 66f31cd11c8f5145d6648deca8a1dbc05aaeaf1f273bd89dd42ec70579b04ccd596cf20fa67979fac0a3a7847ac81e508e18af03a760a94b59f103d761f8b815
Homepage: https://cran.r-project.org/package=ttutils
Description: CRAN Package 'ttutils' (Utility Functions)
 Contains some auxiliary functions.

Package: r-cran-ttwa
Architecture: all
Version: 0.8.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-ttwa_0.8.5.1-1.ca2004.1_all.deb
Size: 26700
MD5sum: 28495f07e79e03503beee6f59362f31f
SHA1: 0f5ae22be0a8f549ed720054d93a856046569c17
SHA256: d808af10074f23e7917d2d3f17672dd9ed976a5a01198b78b8a9495fc09c86ba
SHA512: f087407d2720458cd9e4a3b26b7cf06e2c5d7914d1d91388239eafb521389deced52a28c3bdba30503923a8ff069c27bbee158ba4712098adaa15113dc488d10
Homepage: https://cran.r-project.org/package=ttwa
Description: CRAN Package 'ttwa' (Travel To Work Area)
 This package makes Travel To Work Area from a commuting flow data frame.

Package: r-cran-tuber
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-askpass, r-cran-dplyr, r-cran-httr, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr, r-cran-mime, r-cran-plyr, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-hms, r-cran-knitr, r-cran-lintr, r-cran-rmarkdown, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-tuber_1.0.1-1.ca2004.1_all.deb
Size: 215276
MD5sum: 780cd36a27a0bb04517794635af6682a
SHA1: 0ffb7a294a4319b48822ca415601d14d4ffc2675
SHA256: 5fca6d59e6dafd5b7afcaad50657cf49d8b02887c41dd4012563ca9d745dd4b6
SHA512: 8931474932e0a1f5ff226698a417e9c1f83421596e4fc921cf195e013995eb1d7d0444e203b0be3f359c8d0e444abff8216629190447427a25d65294a00df02f
Homepage: https://cran.r-project.org/package=tuber
Description: CRAN Package 'tuber' (Client for the YouTube API)
 Get comments posted on YouTube videos, information on how many times a video
 has been liked, search for videos with particular content, and much more.
 You can also scrape captions from a few videos. To learn more about the
 YouTube API, see <https://developers.google.com/youtube/v3/>.

Package: r-cran-tubern
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-xml2, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-tubern_0.2.1-1.ca2004.1_all.deb
Size: 45692
MD5sum: 33bc98edb29bc9a542fe9670d97922dd
SHA1: 692739c33e7fdd1e0d0825ce9f9ecba5af3de789
SHA256: a1443238b2f3d7e1b65fdd8050ff6e0f8d969f1dabc848357da250f19d8f7026
SHA512: fd8347ce835e25d48075a53b5fdfbe461909a74cb345de1bd766844245b126a7f002634ab428b0c38103331e94b36fd26390826b324372855519fa079e5fab59
Homepage: https://cran.r-project.org/package=tubern
Description: CRAN Package 'tubern' (R Client for the YouTube Analytics and Reporting API)
 Get statistics and reports from YouTube. To learn more about the YouTube
 Analytics and Reporting API, see
 <https://developers.google.com/youtube/reporting/>.

Package: r-cran-tuckerr.mmgg
Architecture: all
Version: 1.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tuckerr.mmgg_1.5.1-1.ca2004.1_all.deb
Size: 51452
MD5sum: d2e95d12f08e978e4d7ce01d440a3077
SHA1: 92cae50e50808d3b0d579f42f0799e381764a00c
SHA256: b279b4b4598ac46d988a7ff27db9bf29c6e2c20c940a45d6c735e3e75d44aaa1
SHA512: 40e1c8ca7566ec0f1f9e46627ccee42e13045fe0711227228ae2f9e911e4e9848cdb48b1e52d39b621568f52a9c4dd54792afaf94cc10338ee2cf7ed610eafc0
Homepage: https://cran.r-project.org/package=tuckerR.mmgg
Description: CRAN Package 'tuckerR.mmgg' (Three-Mode Principal Components Analysis)
 Performs Three-Mode Principal Components Analysis, which carries out Tucker
 Models.

Package: r-cran-tuflowr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-raster, r-cran-readr, r-cran-tibble, r-cran-tidyr, r-cran-stringr, r-cran-sf, r-cran-sp, r-cran-dplyr, r-cran-gstat, r-cran-lubridate, r-cran-ggplot2, r-cran-rlang, r-cran-magrittr
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-tuflowr_0.1.1-1.ca2004.1_all.deb
Size: 28116
MD5sum: 0d29a24f1e517708f6a2106d0bae8014
SHA1: 06e0896767a29ee5986a261eac94c2b497c09902
SHA256: 26f9441f9f78230c0c1a262087016e7d9555e63ef91dda5de59b63e3a0b5ac7b
SHA512: 5a5db9671314fd065fa5b84108b9148393ae94c3ee3807f6f846eb46d5db76142ad90270e4e747f246e6a8b0f3e5163cb75e7af70229a81ed162a3b5dd4cd6b0
Homepage: https://cran.r-project.org/package=TUFLOWR
Description: CRAN Package 'TUFLOWR' (Helper Functions for 'TUFLOW FV' Models)
 Helper functions for 'TUFLOW FV' models. Current functionality includes
 reading in and plotting output POINTS files and generating initial
 conditions based on point observations.

Package: r-cran-tufte
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Version: 0.13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 481
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-rmarkdown, r-cran-xfun
Suggests: r-cran-covr, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-tufte_0.13-1.ca2004.1_all.deb
Size: 201984
MD5sum: 1b062949461acd69e59519b6a820f70d
SHA1: 8abdf12a005a434db1c9f6ce9cd2a3443e5bea49
SHA256: db62c065c63cce9c41ed2944510c1e1b8987a7ab0939017fa5c61fefe2437dc3
SHA512: 84d37e3b41c7e2106ec966091ae3192c3285e21ca86d13075b59d48b485411fde27799c0054841bd054330396c3146ed8414e7923686f70abd0459b26b46f4f9
Homepage: https://cran.r-project.org/package=tufte
Description: CRAN Package 'tufte' (Tufte's Styles for R Markdown Documents)
 Provides R Markdown output formats to use Tufte styles for PDF and HTML
 output.

Package: r-cran-tufterhandout
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 783
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmarkdown, r-cran-knitr
Suggests: r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tufterhandout_1.2.1-1.ca2004.1_all.deb
Size: 238556
MD5sum: c65e81d020bbb7d83dfa52877a4631dd
SHA1: e2b19dcf87b55e40e79daa93e05c6b083d1c8810
SHA256: ae3087d524f72231609d23441718b99bf7760208e3577cb1126c0e16123e2d52
SHA512: 8b691e022caaf22135acc26efd3387d9e45990a89bc80041ac7eb6356ad40b7cefa7b10f3edd96af208ca426a0b7e70143033c9669b599e2c49e38453348c53a
Homepage: https://cran.r-project.org/package=tufterhandout
Description: CRAN Package 'tufterhandout' (Tufte-style html document format for rmarkdown)
 Custom template and output formats for use with rmarkdown. Produce Edward
 Tufte-style handouts in html formats with full support for rmarkdown
 features

Package: r-cran-tugboat
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-here, r-cran-renv
Suggests: r-cran-yaml, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tugboat_0.1.1-1.ca2004.1_all.deb
Size: 515384
MD5sum: ee4dbcedb83b4b1453e3e39a3b5d8427
SHA1: df1bb337db06d8b4be5a6789d705e8f9db017935
SHA256: 02fa9daa68e1d805f0e3d3646e39408ff8807f6bf3bc52746dd267a899170d0b
SHA512: 7b50073ec6de92b98bbef3264791bbfedad5a9f1bbafc1af4d62bdfd826870b9306aa35b7ba5ad6fc778c6cf848c51998ff356573bcc3d418a7474e9442d2491
Homepage: https://cran.r-project.org/package=tugboat
Description: CRAN Package 'tugboat' (Build a Docker Image from a Directory or Project)
 Simple utilities to generate a Dockerfile from a directory or project, build
 the corresponding Docker image, and push the image to DockerHub.

Package: r-cran-tuglab
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-geometry, r-cran-plotly, r-cran-rcdd, r-cran-stringr, r-cran-volesti
Filename: pool/dists/focal/main/r-cran-tuglab_0.0.1-1.ca2004.1_all.deb
Size: 473460
MD5sum: 3c6056921052461925e31ad24a1a488a
SHA1: 55ae71e520512b5b1103a36cb334d692f9dd00bf
SHA256: ab3dafd2b45cb8e530303b86901b94321d31190f2c97812a35f3c5f5114e13b6
SHA512: cedb4b87df55a050b5e2227d6cac489f3eb495642e6254e88f545e211b7ab08541fd1dc2e51844507146ba0109ac2efa20010fbed86a8e0e2cff308c53f32aeb
Homepage: https://cran.r-project.org/package=TUGLab
Description: CRAN Package 'TUGLab' (A Laboratory for TU Games)
 Cooperative game theory models decision-making situations in which a group
 of agents, called players, may achieve certain benefits by cooperating to
 reach an optimal outcome. It has great potential in different fields, since
 it offers a scenario to analyze and solve problems in which cooperation is
 essential to achieve a common goal.  The 'TUGLab' (Transferable Utility
 Games Laboratory) R package contains a set of scripts that could serve as a
 helpful complement to the books and other materials used in courses on
 cooperative game theory, and also as a practical tool for researchers
 working in this field. The 'TUGLab' project was born in 2006 trying to
 highlight the geometrical aspects of the theory of cooperative games for 3
 and 4 players. 'TUGlabWeb' is an online platform on which the basic
 functions of 'TUGLab' are implemented, and it is being used all over the
 world as a resource in degree, master's and doctoral programs.  This package
 is an extension of the first versions and enables users to work with games
 in general (computational restrictions aside). The user can check properties
 of games, compute well-known games and calculate several set-valued and
 single-valued solutions such as the core, the Shapley value, the nucleolus
 or the core-center. The package also illustrates how the Shapley value
 flexibly adapts to various cooperative game settings, including weighted
 players and coalitions, a priori unions, and restricted communication
 structures. In keeping with the original philosophy of the first versions,
 special emphasis is placed on the graphical representation of the solution
 concepts for 3 and 4 players.

Package: r-cran-tukeyc
Architecture: all
Version: 1.3-43-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doby, r-cran-xtable
Suggests: r-cran-pbkrtest, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-tukeyc_1.3-43-1.ca2004.1_all.deb
Size: 147632
MD5sum: 46f892077faaed815235444b4330e507
SHA1: 1a1f68fb7e08efed9ad12b13c093e20a1fc0ee53
SHA256: 8a541b8c698d79b9ece4d075952201e3dad2cd2a28fe7e3afec888527962c892
SHA512: 8b1bd47120649661d089045f65efb9a52e52baf377d9accb2fd0d6665b2b1a8918cf9976e5416b0c4a23db79dc69f9cb29383993e38d268ae332c0174580835e
Homepage: https://cran.r-project.org/package=TukeyC
Description: CRAN Package 'TukeyC' (Conventional Tukey Test)
 Provides tools to perform multiple comparison analyses, based on the
 well-known Tukey's "Honestly Significant Difference" (HSD) test. In models
 involving interactions, 'TukeyC' stands out from other R packages by
 implementing intuitive and easy-to-use functions. In addition to
 accommodating traditional R methods such as lm() and aov(), it has also been
 extended to objects of the lmer() class, that is, mixed models with fixed
 effects. For more details see Tukey (1949) <doi:10.2307/3001913>.

Package: r-cran-tukeygh77
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rstpm2
Suggests: r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-tukeygh77_0.1.4-1.ca2004.1_all.deb
Size: 58272
MD5sum: 0597a820efdb9b6d2645a47e88a4fa12
SHA1: 4a54642cfc9ada7406fcdb61ae3c1d613b32c01d
SHA256: 1da0a667f105ad908303de61000777bafe6ff069525aed89dac1f8b7dce85334
SHA512: e580354d9bb170c6710279b338653d635d3004e090d03408590cf5255826efc0d19f07c61bd5fff9edac5c47ca87b2d25b7a099f6f05fae7781052637fb2a357
Homepage: https://cran.r-project.org/package=TukeyGH77
Description: CRAN Package 'TukeyGH77' (Tukey g-&-h Distribution)
 Functions for density, cumulative density, quantile and simulation of Tukey
 g-and-h (1977) distributions. The quantile-based transformation (Hoaglin
 1985 <doi:10.1002/9781118150702.ch11>) and its reverse transformation, as
 well as the letter-value based estimates (Hoaglin 1985), are also provided.

Package: r-cran-tukeygh
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-minqa, r-cran-rdpack, r-cran-rootsolve
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tukeygh_1.0.0-1.ca2004.1_all.deb
Size: 103332
MD5sum: 7ae246c9a3ba0b809fa7efa6ad0b7cec
SHA1: a57e43bc8c16943c9694cc872af7e480c812179d
SHA256: 3d2904ec9521f90aaec1422be205bf1a8537ce3e068c12de0db3248938c9fa1c
SHA512: d22f897b7cee2148e2893963256185ea29ab6af283c91f069a018cbcdef8abd11cc1b25db2a76ac444d6b7f88721b7bc65c3cedf851cdd8ca6eab8f6375486e2
Homepage: https://cran.r-project.org/package=tukeyGH
Description: CRAN Package 'tukeyGH' (Tukey's g-and-h Probability Distribution)
 It provides distribution, density and quantile functions of the Tukey's
 g-and-h probability distribution, as well as functions for random number
 generation, parameter estimation and testing.

Package: r-cran-tukeytrend
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 933
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcomp, r-cran-pbkrtest, r-cran-mgcv, r-cran-lme4, r-cran-nlme, r-cran-matrix
Suggests: r-cran-knitr, r-cran-xtable, r-cran-reshape2, r-cran-sandwich, r-cran-corrbin, r-cran-sasmixed, r-cran-simcomp, r-cran-hsaur3
Filename: pool/dists/focal/main/r-cran-tukeytrend_0.7-1.ca2004.1_all.deb
Size: 423372
MD5sum: a81cbe3189165574926a50ee1d645dff
SHA1: ea30cc119a2c4ab65fdf2db09ad8ec67a0263772
SHA256: e19cabd4fde421a935268156b5b262235cee13888cbceb9c9451dede37df8f30
SHA512: bc5141d321d0e26348e4a619aa33253cb64073bad7e9124d5fde9129f9f4b3b471bbb11ffa58b3bb37c9d8470ebb9104d26aff518d25ef3b7a63cb3732293247
Homepage: https://cran.r-project.org/package=tukeytrend
Description: CRAN Package 'tukeytrend' (Tukeys Trend Test via Multiple Marginal Models)
 Provides wrapper functions to the multiple marginal model function mmm() of
 package 'multcomp' to implement the trend test of Tukey, Ciminera and Heyse
 (1985) <DOI:10.2307/2530666> for general parametric models.

Package: r-cran-tumblr
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 161
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-rcurl, r-cran-stringr, r-cran-rjsonio
Filename: pool/dists/focal/main/r-cran-tumblr_1.2-1.ca2004.1_all.deb
Size: 129972
MD5sum: d0796500f0a80e89471054645864e760
SHA1: 8cf193b44fe3567ff4769e5115942dc165d8cc9d
SHA256: f0eb5f742b4c94716e94c7f75b22a1a6fa22a9480b7f5baf2503bbcdb8b93c85
SHA512: 9c1c8cd2d7c78ae77874d92ae6bae87c2ab4af46666534e18abfde28bd514c661b06874445ce3675df489f558f56b2f1ba74c07314ca5126f4acdbd58f051793
Homepage: https://cran.r-project.org/package=tumblR
Description: CRAN Package 'tumblR' (Access to Tumblr V2 API)
 Provides an R-interface to the Tumblr web API (see Tumblr v2 API on
 <https://www.tumblr.com/docs/en/api/v2>). Tumblr is a microblogging platform
 and social networking website (<https://www.tumblr.com>).

Package: r-cran-tumgr
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-minpack.lm
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tumgr_0.0.4-1.ca2004.1_all.deb
Size: 65236
MD5sum: 2ee22048a317b9410133bde062882023
SHA1: 10f4a80f63356ecaa97508aacdb6c05d854a1366
SHA256: 362b57ea6ca5c40a19252413fd2cc8e538ca792f0e1795de3daf3d03a4ad03ca
SHA512: 6480d47295aee898c3165dbc90c4ce2d5553c967995ca280dd2b7d01ab7b19ebe883700255e00761bd96d39a6fca8bd2c463e35a6c4c4f3d7603eda317e4bf96
Homepage: https://cran.r-project.org/package=tumgr
Description: CRAN Package 'tumgr' (Tumor Growth Rate Analysis)
 A tool to obtain tumor growth rates from clinical trial patient data.
 Output includes individual and summary data for tumor growth rate estimates
 as well as optional plots of the observed and predicted tumor quantity over
 time.

Package: r-cran-tune
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2166
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dials, r-cran-dofuture, r-cran-dplyr, r-cran-foreach, r-cran-future, r-cran-generics, r-cran-ggplot2, r-cran-glue, r-cran-gpfit, r-cran-hardhat, r-cran-lifecycle, r-cran-parsnip, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-withr, r-cran-workflows, r-cran-yardstick
Suggests: r-cran-c50, r-cran-censored, r-cran-covr, r-cran-kernlab, r-cran-kknn, r-cran-knitr, r-cran-modeldata, r-cran-scales, r-cran-spelling, r-cran-testthat, r-cran-xgboost, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-tune_1.3.0-1.ca2004.1_all.deb
Size: 1832548
MD5sum: 09f7836d3c7d40930cefde19e1968477
SHA1: 5d76a4bf6468acd7cc23a07ea9c0d092c569a817
SHA256: aaa1dc128e22599a7458dc532a45cbf028b55979043721a093a7de2d8e084275
SHA512: f29332876ad981c2384fd5b8a513b93428c9b3514fbb105946c78e619e59bec9e2365a0656dcbf2cdeca1c0fd5414a3aacc85bdfd2dcec5532dc70868d968932
Homepage: https://cran.r-project.org/package=tune
Description: CRAN Package 'tune' (Tidy Tuning Tools)
 The ability to tune models is important. 'tune' contains functions and
 classes to be used in conjunction with other 'tidymodels' packages for
 finding reasonable values of hyper-parameters in models, pre-processing
 methods, and post-processing steps.

Package: r-cran-tuneranger
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ranger, r-cran-mlrmbo, r-cran-lhs, r-cran-mlr, r-cran-smoof, r-cran-paramhelpers, r-cran-bbmisc, r-cran-dicekriging
Suggests: r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tuneranger_0.7-1.ca2004.1_all.deb
Size: 61468
MD5sum: 6c181754c72102b2b0b880788022e14d
SHA1: 2eef0f8a0f6a46129b997ef06eeef399f8daf65b
SHA256: c1d17e512fe570465e3a66ab6f96f0ac919aab2fad37907464c8b2f8cec20d2b
SHA512: 958764ea8079a6ca7cd1ec0c71b79855346b7f7c88a705b669e4451cd7c84f40834c5dd4bb7d7d799404c336ba4811651acfdb22ed191c5f3f4a7bcf928daa6e
Homepage: https://cran.r-project.org/package=tuneRanger
Description: CRAN Package 'tuneRanger' (Tune Random Forest of the 'ranger' Package)
 Tuning random forest with one line. The package is mainly based on the
 packages 'ranger' and 'mlrMBO'.

Package: r-cran-tuple
Architecture: all
Version: 0.4-02-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tuple_0.4-02-1.ca2004.1_all.deb
Size: 38088
MD5sum: d95bc5f463d8a5ae0c4ff4dbb3231caa
SHA1: 7e2344232b68325fcb1415e673d02271e55d217c
SHA256: 78a36db2cc5e5b458f455ec8923884eb7bbe5c843b1a20e285fa4e0ec854baca
SHA512: 0e0bccb23154d4bb88785b6896a6f50549396c93de1146571e2ef2fceeff3ba54f03b1edd3eddde2f8a2ea7e33eab64ec2881d2c90e966ef840e4f8bc1d87409
Homepage: https://cran.r-project.org/package=tuple
Description: CRAN Package 'tuple' (Find every match, or orphan, duplicate, triplicate, or otherreplicated values)
 Functions to find all matches or non-matches, orphans, and duplicate or
 other replicated elements.

Package: r-cran-turboem
Architecture: all
Version: 2025.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 545
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-numderiv, r-cran-quantreg, r-cran-iterators
Suggests: r-cran-setrng
Filename: pool/dists/focal/main/r-cran-turboem_2025.1-1.ca2004.1_all.deb
Size: 428668
MD5sum: fac4bad38390c681f51638ec7965cfb2
SHA1: 14d0bb6e2b7fbd7dd5e873f22e1cf6e13ee8b352
SHA256: 7cd9b0bb85a451476191da563f59bcefd1a00f8071cf18120b278f0b2c7b7b8f
SHA512: 738a6032ed41d452450ef8e5f390a1ac986b98c059f77fb02b3a038e9bae23eb2e49d0fc27095ca8bf9d8360359ee82a53ded2e3681795919658fd4abc54b0ce
Homepage: https://cran.r-project.org/package=turboEM
Description: CRAN Package 'turboEM' (A Suite of Convergence Acceleration Schemes for EM, MM and OtherFixed-Point Algorithms)
 Algorithms for accelerating the convergence of slow, monotone sequences from
 smooth, contraction mapping such as the EM and MM algorithms. It can be used
 to accelerate any smooth, linearly convergent acceleration scheme.  A
 tutorial style introduction to this package is available in a vignette on
 the CRAN download page or, when the package is loaded in an R session, with
 vignette("turboEM").

Package: r-cran-turkeyelections
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 358
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpol, r-cran-stringr, r-cran-dplyr, r-cran-colorramp2
Suggests: r-cran-testthat, r-cran-devtools, r-cran-remotes, r-cran-roxygen2, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-turkeyelections_0.1.2-1.ca2004.1_all.deb
Size: 210464
MD5sum: 21e7cc9917ab721367c8baf108b9935b
SHA1: f5970b1cb8cf9b7d6e8ea8749b6905b9243c1805
SHA256: d651bf61213d1d8b676a0bfbad0028646c599dc1028b64cedf1d4f8523c621bc
SHA512: 97104bc83bed528cc16ca6ee41b5a38a9d29311e6f1a397d907a2452880a34069c2e6833e49222fed14e5c21eaee88e3bdbfbbfb1e9943cd5eb2ced21e7ed33d
Homepage: https://cran.r-project.org/package=turkeyelections
Description: CRAN Package 'turkeyelections' (The Most Comprehensive R Package for Turkish Election Results)
 Includes the results of general, local, and presidential elections held in
 Turkey between 1995 and 2023, broken down by provinces and overall national
 results. It facilitates easy processing of this data and the creation of
 visual representations based on these election results.

Package: r-cran-turner
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 215
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tester
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-turner_0.1.9-1.ca2004.1_all.deb
Size: 164220
MD5sum: e8c77c9e7da872c083442ac7d17eace6
SHA1: b172cefdc93f4732df7ad5450c7bbb1396d8357e
SHA256: 153c8ceced075d43a01fc17151630da5b94be707e53c9dc90b75ed2e4b7f6730
SHA512: 09da1fb2b74b825853ecf6ffdefbe8843abd8c0b88cff667fe394fc6fe1c8707f11ce5f4d3cb2892614ed93d45e154e849c36c0e765e40c1fac3b1c45e108d4e
Homepage: https://cran.r-project.org/package=turner
Description: CRAN Package 'turner' (Turn Vectors and Lists of Vectors into Indexed Structures)
 Package designed for working with vectors and lists of vectors, mainly for
 turning them into other indexed data structures.

Package: r-cran-turtlegraphics
Architecture: all
Version: 1.0-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 556
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-digest
Filename: pool/dists/focal/main/r-cran-turtlegraphics_1.0-8-1.ca2004.1_all.deb
Size: 452304
MD5sum: 02726a21b07ea02a81c280dd9c17429e
SHA1: aff7e287065610eda9e8d8d64037588ba12b6b6d
SHA256: 90fbb42c669e6df27d82ddddab2ac8a22892a02272e2c53b13fd3371d5afc7d6
SHA512: 0203b69faad338572070a7d4b089565a3adef4aaf1d27f0e38a92e48c8772f0d232e19fab94d08490a8d303ddd4225cbb8ea3414cc9737102a974ef34743605c
Homepage: https://cran.r-project.org/package=TurtleGraphics
Description: CRAN Package 'TurtleGraphics' (Turtle Graphics)
 An implementation of turtle graphics
 <http://en.wikipedia.org/wiki/Turtle_graphics>.  Turtle graphics comes from
 Papert's language Logo and has been used to teach concepts of computer
 programming.

Package: r-cran-tushare
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-tidyverse, r-cran-forecast, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-tushare_0.1.4-1.ca2004.1_all.deb
Size: 23352
MD5sum: a4632769887f501d2b21852eb9b52ceb
SHA1: 32b92645b89293c5ca8465a0a540da3fd7d5ea53
SHA256: 36dea02cc3a8fee3fb81b4f52012ee075cb3c683bf2b16005153b7ce8bb0e777
SHA512: 0eac092718c75e6afee07201cdb90384533ec95d5c567728c8416fe0ae3bd99c59cd3c3df84a8fb10e490bafea4701860c8f265959be63bc9c5ec9ecf5d45e8a
Homepage: https://cran.r-project.org/package=Tushare
Description: CRAN Package 'Tushare' (Interface to 'Tushare Pro' API)
 Helps the R users to get data from 'Tushare Pro'<https://tushare.pro>.
 'Tushare Pro' is a platform as well as a community with a lot of staffs
 working in financial area.  We support financial data such as stock price,
 financial report statements and digital coins data.

Package: r-cran-tutorial.helpers
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1709
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-learnr, r-cran-mime, r-cran-purrr, r-cran-readr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-rvest, r-cran-shiny, r-cran-stringr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-quarto, r-cran-remotes, r-cran-roxygen2, r-cran-rsconnect, r-cran-testthat, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-tutorial.helpers_0.5.0-1.ca2004.1_all.deb
Size: 1222624
MD5sum: dbb96a9db6a82b31e6a06ce03158a183
SHA1: 8fd5e6f5f72cdbf1b13b6367cc34144b71791698
SHA256: 7c540fba487c82043cd96c9fad12a384c53a66fdfaae1dc4acb0fa27c5c878e4
SHA512: 2a0801776433a5ea313eb9158efdf7e602ea428294929528d473a0df4c59e21fce2398ac36d706b034035f0d4b98c211b7421ff8100a7c8fb9ac58cb5071de3f
Homepage: https://cran.r-project.org/package=tutorial.helpers
Description: CRAN Package 'tutorial.helpers' (Helper Functions for Creating Tutorials)
 Helper functions for creating, editing, and testing tutorials created with
 the 'learnr' package. Provides a simple method for allowing students to
 download their answers to tutorial questions. For examples of its use, see
 the 'r4ds.tutorials' package.

Package: r-cran-tutorial
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-markdown, r-cran-knitr, r-cran-rjson, r-cran-base64enc
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tutorial_0.4.3-1.ca2004.1_all.deb
Size: 29840
MD5sum: 923acfaf92ab7a222313b099ef62e974
SHA1: 2407007e43913cebff8b4c5903d8dd854e6be865
SHA256: 4eb22846584f5f002147b2c4cbbd91be867cad55bfa6faebb3b3a50eea07d801
SHA512: 7f9cc690be4984592cf70821c097d4b21d686a15a65c8976c712fc1e5edab23078da4d2488cc36418406fbbba4313332358a2aee4025ee93d74dab4ff2d38045
Homepage: https://cran.r-project.org/package=tutorial
Description: CRAN Package 'tutorial' (Convert R Markdown Files to DataCamp Light HTML Files)
 DataCamp Light (<https://github.com/datacamp/datacamp-light>) is a
 light-weight implementation of the DataCamp UI, that allows you to embed
 interactive exercises inside HTML documents. The tutorial package makes it
 easy to create these HTML files from R Markdown files. An extension to
 knitr, tutorial detects appropriately formatted code chunks and replaces
 them with DataCamp Light readable chunks in the resulting HTML file.

Package: r-cran-tuvalues
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-tuvalues_1.0.0-1.ca2004.1_all.deb
Size: 63884
MD5sum: 76e1284c294283cd07a54dacc5197cf5
SHA1: 28c078b8a360b7a4779d0c3a900ff1c8a4a67934
SHA256: 1e679f54765cfcb4db1d31a4a417492bc192e0bb8dae8502c2c5f82a43ead42c
SHA512: a8097eb0c0c08256df81b55be7f0ff4bee62ba828e1d461167495665efcd6a688a3e849bb0ac52166545401e965a59ec4786f0beaf2fb914d2bfd589857de20b
Homepage: https://cran.r-project.org/package=TUvalues
Description: CRAN Package 'TUvalues' (Tools for Calculating Allocations in Game Theory using Exact andApproximated Methods)
 The main objective of cooperative games is to allocate a good among the
 agents involved. This package includes the most well-known allocation rules,
 i.e., the Shapley value, the Banzhaf value, the egalitarian rule, and the
 equal surplus division value. In addition, it considers the point of view of
 a priori unions (situations in which agents can form coalitions). For this
 purpose, the package includes the Owen value, the Banzhaf-Owen value, and
 the corresponding extensions of the egalitarian rules. All these values can
 be calculated exactly or estimated by sampling.

Package: r-cran-tv
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-magrittr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-tibble, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tv_2.0.2-1.ca2004.1_all.deb
Size: 44588
MD5sum: 4d8d10d47f307f5a9e7514dc0c4afa55
SHA1: 95fcbff8d9752db5742ed7edcc7e58c9b0b3c8d2
SHA256: ae818b38c73da5fee4db555adb00e29a8961fe695e137cfc5fd21379c89bb16a
SHA512: b999804f935c1c05b4af9510d3cbafcc020bae26c005e4df473ea7c3d8f618894949d62892770615a5c7d5f5327a9226a6d51f21b8291d1ede4550e6edcd662a
Homepage: https://cran.r-project.org/package=tv
Description: CRAN Package 'tv' (Tools for Creating Time-Varying Datasets)
 Create a time-varying dataset using features, exposure, and look back
 specifications.

Package: r-cran-tvcure
Architecture: all
Version: 0.6.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 596
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cubicbsplines, r-cran-rfast, r-cran-mass, r-cran-matrix, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-tvcure_0.6.6-1.ca2004.1_all.deb
Size: 527308
MD5sum: 8a82b830bbb38f27996b0aea35e50023
SHA1: 1a7575065c539735d52da6986033e350005bc3c9
SHA256: e1c8e147167b2b26f27675cb0f56f97f096fcd5ba33a7136c910a0e47dcb066c
SHA512: abf85f7187d84343b11a08459a96c7c61409b5670fcff28ef5540ea831b9b6b8a24c27dba9f9e4a8f4101e9cf89c35b6e04c470f9ab01bb58fcc09d258d4ede3
Homepage: https://cran.r-project.org/package=tvcure
Description: CRAN Package 'tvcure' (Additive Cure Survival Model with Time-Varying Covariates)
 Fit of a double additive cure survival model with time-varying covariates.
 The additive terms in the long- and short-term survival submodels, modelling
 the cure probability and the event timing for susceptible units, are
 estimated using Laplace P-splines. For more details, see Lambert and
 Kreyenfeld (2025) <doi:10.1093/jrsssa/qnaf035>.

Package: r-cran-tvem
Architecture: all
Version: 1.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 289
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mgcv
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tvem_1.4.1-1.ca2004.1_all.deb
Size: 121832
MD5sum: 73c605d61f41d020a853acb1f15517ec
SHA1: aeed74ee49d0ec18ae18cc62922871819f74ecff
SHA256: 77bf9d2d7803f86f14219f7b4919fa2d55f86a31b5247dcd02a71a916d254b3a
SHA512: 1ae89e51019b15605e5c3a5ef4aa553818e237ed5947a4c7bc8d62b8bf5d84ffd77c175f08f35a58a1d266d1be679116c8e8ec3e3a4de27c4893ff3a523aca24
Homepage: https://cran.r-project.org/package=tvem
Description: CRAN Package 'tvem' (Time-Varying Effect Models)
 Fits time-varying effect models (TVEM). These are a kind of application of
 varying-coefficient models in the context of longitudinal data, allowing the
 strength of linear, logistic, or Poisson regression relationships to change
 over time.  These models are described further in Tan, Shiyko, Li, Li &
 Dierker (2012) <doi:10.1037/a0025814>.  We thank Kaylee Litson, Patricia
 Berglund, Yajnaseni Chakraborti, and Hanjoo Kim for their valuable help with
 testing the package and the documentation. The development of this package
 was part of a research project supported by National Institutes of Health
 grants P50 DA039838 from the National Institute of Drug Abuse and 1R01
 CA229542-01 from the National Cancer Institute and the NIH Office of
 Behavioral and Social Science Research. Content is solely the responsibility
 of the authors and does not necessarily represent the official views of the
 funding institutions mentioned above. This software is distributed in the
 hope that it will be useful, but WITHOUT ANY WARRANTY; without even the
 implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See
 the GNU General Public License for more details.

Package: r-cran-tvgarch
Architecture: all
Version: 2.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-garchx, r-cran-zoo, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-tvgarch_2.4.2-1.ca2004.1_all.deb
Size: 246716
MD5sum: 70c8488477590812c5c9775735d879c7
SHA1: ba66353be387328ae4774d417eff6b3aa5172b54
SHA256: eb74e92ac04d813153e207367c7a8a3e81e79719d578388ff7e5f0042111e0e2
SHA512: 73db8c1a5424560bd1a0734280198e6dfa00c40f0a43f52edf246bb0fe3192e3b54e582ae7e610ba55ca769637c5751549b984bfaa91ae4120f95c9c4bbcf297
Homepage: https://cran.r-project.org/package=tvgarch
Description: CRAN Package 'tvgarch' (Time Varying GARCH Modelling)
 Simulation, estimation and inference for univariate and multivariate
 TV(s)-GARCH(p,q,r)-X models, where s indicates the number and shape of the
 transition functions, p is the ARCH order, q is the GARCH order, r is the
 asymmetry order, and 'X' indicates that covariates can be included; see
 Campos-Martins and Sucarrat (2024) <doi:10.18637/jss.v108.i09>. In the
 multivariate case, variances are estimated equation by equation and dynamic
 conditional correlations are allowed. The TV long-term component of the
 variance as in the multiplicative TV-GARCH model of Amado and Terasvirta
 (2013) <doi:10.1016/j.jeconom.2013.03.006> introduces non-stationarity
 whereas the GARCH-X short-term component describes conditional
 heteroscedasticity. Maximisation by parts leads to consistent and
 asymptotically normal estimates.

Package: r-cran-tvgeom
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-ggthemes, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr, r-cran-gridextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tvgeom_1.0.1-1.ca2004.1_all.deb
Size: 83452
MD5sum: 2a8736169197289a14ebf671a683c8d7
SHA1: e39cc329dae7a740755d6470c010188fed7efbcf
SHA256: 5d5f7e0e0f67a4c42c2190b53ca546674bc59e8014e97b910cf1f7ebca07f90a
SHA512: 7e8feb7315cb09599c625144b24f43817646d10dd8321deba0231a1c58093663d549d60901a7697846b6e1b1f6f37e9e176b175ce61a21ee6828fbf4d34a5f6c
Homepage: https://cran.r-project.org/package=tvgeom
Description: CRAN Package 'tvgeom' (The Time-Varying (Right-Truncated) Geometric Distribution)
 Probability mass (d), distribution (p), quantile (q), and random number
 generating (r and rt) functions for the time-varying right-truncated
 geometric (tvgeom) distribution. Also provided are functions to calculate
 the first and second central moments of the distribution. The tvgeom
 distribution is similar to the geometric distribution, but the probability
 of success is allowed to vary at each time step, and there are a limited
 number of trials. This distribution is essentially a Markov chain, and it is
 useful for modeling Markov chain systems with a set number of time steps.

Package: r-cran-tvm
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-scales
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tvm_0.5.2-1.ca2004.1_all.deb
Size: 79216
MD5sum: 5bbd373ef6f460d6d25e09428ea7d177
SHA1: 55f867a0ba47e5fffd25629764d6c38bc3b16faf
SHA256: a7c270718afa7d33f515dfda638a83016003a78527dfc5f638ef25e29c2932c8
SHA512: ce7cf919f05fe54d839fdbf4b58d780908acbefc75287279b040caba5ae738a138f70a783dab981d2a42983214b4853c94cfd8e2a8580258c5128f3c7ab731b4
Homepage: https://cran.r-project.org/package=tvm
Description: CRAN Package 'tvm' (Time Value of Money Functions)
 Functions for managing cashflows and interest rate curves.

Package: r-cran-tvmcomp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-tvmcomp_1.0.2-1.ca2004.1_all.deb
Size: 121516
MD5sum: f63a420c06881e8380b4665fd8cdeea3
SHA1: 704ced2658c5ab8c23201412f9ae2bff89d6cace
SHA256: 8c02e426f772498f600f02ec474b5bd3ea58ced81d66da92074ae85ef8fe2203
SHA512: 0d3621b127a4a5d10c34be228a76f51d73f6e7b058d2d73d9d57694c28537eb275e0982b755548e02a49bd7276012144afaf90656d13f87290bb3f67d7a632ca
Homepage: https://cran.r-project.org/package=tvmComp
Description: CRAN Package 'tvmComp' (Discounting and Compounding Calculations for Various Scenarios)
 Functions for compounding and discounting calculations included here serve
 as a complete reference for various scenarios of time value of money.
 Raymond M. Brooks (“Financial Management,” 2018, ISBN: 9780134730417).
 Sheridan Titman, Arthur J. Keown, John D. Martin (“Financial Management:
 Principles and Applications,” 2017, ISBN: 9780134417219).  Jonathan Berk,
 Peter DeMarzo, David Stangeland, Andras Marosi (“Fundamentals of Corporate
 Finance,” 2019, ISBN: 9780134735313).  S. A. Hummelbrunner, Kelly Halliday,
 Ali R. Hassanlou (“Contemporary Business Mathematics with Canadian
 Applications,” 2020, ISBN: 9780135285015).

Package: r-cran-tvmediation
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1033
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-locpol
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tvmediation_1.1.0-1.ca2004.1_all.deb
Size: 680480
MD5sum: a363626b5c725b32de51aebfee1c9529
SHA1: 7f069f6d4b641b494a2223169e94e27460484077
SHA256: 9571cf788ff3ff1f54e4ea03df2c6ef25ad516c0376edcdc1db4b05c006051e6
SHA512: 1fe2e1b3a4bbd5e425e0d69c713715b02bd7e0724ca08b24720a417e133a109a6a069756473c853b97cc6e94f00870c13c3b6b86bb629b4c5e8e7d77bbb00cde
Homepage: https://cran.r-project.org/package=tvmediation
Description: CRAN Package 'tvmediation' (Time Varying Mediation Analysis)
 Provides functions for estimating mediation effects that vary over time as
 described in Cai X, Coffman DL, Piper ME, Li R.  Estimation and inference
 for the mediation effect in a time-varying mediation model.  BMC Med Res
 Methodol. 2022;22(1):1-12.

Package: r-cran-tvmm
Architecture: all
Version: 3.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1000
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-robustbase, r-cran-tcltk2, r-cran-gridextra, r-cran-mass, r-cran-desctoolsaddins
Suggests: r-cran-tkrplot
Filename: pool/dists/focal/main/r-cran-tvmm_3.2.1-1.ca2004.1_all.deb
Size: 984732
MD5sum: 51dd480266edf1a08db16e16d1de49db
SHA1: 8008c924af16f6c9bcf0576c8436ddb8af2df6c8
SHA256: 3acd8235b68e54de2ffc3f0345118684b13a4719426145d7359757b0750898f1
SHA512: 7123a37c895d7cd321567259f77ec82cb4506df0d373a65be1628682cf8951cf55e1e24a4ca369596bf564e7b544c6cce187f29689a2bc1a0276be3d1ec00680
Homepage: https://cran.r-project.org/package=TVMM
Description: CRAN Package 'TVMM' (Multivariate Tests for the Vector of Means)
 This is a statistical tool interactive that provides multivariate
 statistical tests that are more powerful than traditional Hotelling T2 test
 and LRT (likelihood ratio test) for the vector of normal mean populations
 with and without contamination and non-normal populations (Henrique J. P.
 Alves & Daniel F. Ferreira (2019) <DOI: 10.1080/03610918.2019.1693596>).

Package: r-cran-tvmvp
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 816
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-cli, r-cran-prettyunits, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tvmvp_1.0.5-1.ca2004.1_all.deb
Size: 728944
MD5sum: c83dd2405560df6b19c9019ca0a3d6ce
SHA1: f22a7c661d69325e16150c65b7fb2d451b21fe60
SHA256: ac5acd8010cadd0e5ba19dd04d71ed969c11c46626d6724a127d49302197993a
SHA512: adc841bafe6fd5c4bd23dddc400c4e8b35a2d1569c3839a5e4e7b7fc585130599abf8f44cf04a4f1ffb45aba23fab637d63fdbf13bf385b6ac4764a075876ba3
Homepage: https://cran.r-project.org/package=TVMVP
Description: CRAN Package 'TVMVP' (Time-Varying Minimum Variance Portfolio)
 Provides the estimation of a time-dependent covariance matrix of returns
 with the intended use for portfolio optimization. The package offers methods
 for determining the optimal number of factors to be used in the covariance
 estimation, a hypothesis test of time-varying covariance, and user-friendly
 functions for portfolio optimization and rolling window evaluation. The
 local PCA method, method for determining the number of factors, and
 associated hypothesis test are based on Su and Wang (2017)
 <doi:10.1016/j.jeconom.2016.12.004>. The approach to time-varying portfolio
 optimization follows Fan et al. (2024) <doi:10.1016/j.jeconom.2022.08.007>.
 The regularisation applied to the residual covariance matrix adopts the
 technique introduced by Chen et al. (2019)
 <doi:10.1016/j.jeconom.2019.04.025>.

Package: r-cran-tvreg
Architecture: all
Version: 0.5.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1400
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-matrix, r-cran-systemfit, r-cran-mass, r-cran-vars, r-cran-bvarsv, r-cran-plm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tvreg_0.5.9-1.ca2004.1_all.deb
Size: 1005412
MD5sum: b68c5b0937ac68b1b84279b74316316d
SHA1: 2df8ab7cb046bb8a307df846805f0191661bf456
SHA256: 65dc4c57b941d85aeba4923920b41fc40f2784ed5e7a07700ee2cd6330980350
SHA512: d91a1d04199c1805337f97bbad92da5b69b8c51ac115da4641dfb6d8d7951b6c8e7016cdac1c7ef47581a34c6e22f80a175025e302cf6f6f5ba5e6f9ef227055
Homepage: https://cran.r-project.org/package=tvReg
Description: CRAN Package 'tvReg' (Time-Varying Coefficient for Single and Multi-EquationRegressions)
 Fitting time-varying coefficient models for single and multi-equation
 regressions, using kernel smoothing techniques.

Package: r-cran-tvthemes
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3684
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-extrafont, r-cran-scales, r-cran-magick
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-cowplot, r-cran-png, r-cran-glue, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-tvthemes_1.3.3-1.ca2004.1_all.deb
Size: 2684468
MD5sum: 20287e4b71ab6b624adda4f27f7c1fbd
SHA1: 9b9d140e3388c4affd5ddfe6ca4dd5f1a973eacc
SHA256: 29d1f2d929dd208d6f2b28dbe51ca409c01a81dbedef004474b94d0ce0107485
SHA512: 9a68b9deaaa40f3381f94ecea3b126af113729bcec28ff06d4e18819d160191cf4ebfe0fd70138df97b4c6b9ba47ef65f3fc79bf186a34e40670043a984e2d63
Homepage: https://cran.r-project.org/package=tvthemes
Description: CRAN Package 'tvthemes' (TV Show Themes and Color Palettes for 'ggplot2' Graphics)
 Contains various 'ggplot2' themes and color palettes based on TV shows such
 as 'Game of Thrones', 'Brooklyn Nine-Nine', 'Avatar: The Last Airbender',
 'Spongebob Squarepants', and more.

Package: r-cran-tvtools
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dtwrappers
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-covr, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tvtools_0.0.3-1.ca2004.1_all.deb
Size: 269340
MD5sum: bef6a67149b61f97921844fd97a24a6d
SHA1: 7de037469877c141c35cd8d24c05cca08c5b4f2e
SHA256: 8edb69b14b54068d8198fac60aa61f866a65ba14d41c67c631cb916b087751a8
SHA512: cc12650f72a4966c702f64d316e5ab39d2bf78c8ff1bfafe20bc56edea25ba5854651006f9879431af3ab28ba8f51c3d54c228bf0a80a0174f67c41c93383beb
Homepage: https://cran.r-project.org/package=tvtools
Description: CRAN Package 'tvtools' (Comprehensive Tools for Panel Data Analysis - 'tvtools')
 Longitudinal data offers insights into population changes over time but
 often requires a flexible structure, especially with varying follow-up
 intervals. Panel data is one way to store such records, though it adds
 complexity to analysis. The 'tvtools' package for R simplifies exploring and
 analyzing panel data.

Package: r-cran-twangcontinuous
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 536
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-lattice, r-cran-gbm, r-cran-survey, r-cran-xtable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-twangcontinuous_1.0.0-1.ca2004.1_all.deb
Size: 373228
MD5sum: ea5e668afb646cc896530bd3f2f34f3a
SHA1: 13e1f22e94b5348808ede33d97053f60399819ca
SHA256: c9fb7662a80b9a4696caa1b6fd032268886671beada8917a2309af10051fb458
SHA512: f4c3dc29b5fd2f05a4ee3f0859983f7795627a57ead3bc348fd267a18352ceeca288e5ab8a3e163a80dc82e62d041a55441e935a6c409907e92fe5da053d0067
Homepage: https://cran.r-project.org/package=twangContinuous
Description: CRAN Package 'twangContinuous' (Toolkit for Weighting and Analysis of Nonequivalent Groups -Continuous Exposures)
 Provides functions for propensity score estimation and weighting for
 continuous exposures as described in Zhu, Y., Coffman, D. L., & Ghosh, D.
 (2015). A boosting algorithm for estimating generalized propensity scores
 with continuous treatments.  Journal of Causal Inference, 3(1), 25-40.
 <doi:10.1515/jci-2014-0022>.

Package: r-cran-twangmediation
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1289
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-twang, r-cran-gbm, r-cran-lattice, r-cran-latticeextra, r-cran-survey
Suggests: r-cran-knitr, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-twangmediation_1.2-1.ca2004.1_all.deb
Size: 1245988
MD5sum: 8b452f70d60a80f53d0cf077f94b7e27
SHA1: 91d5684a48fcc0a7775ac560e0e4929bbc2b94eb
SHA256: 07da197357d20223e81fa8def7d15935ae9ed849b4c59e153f6c3ce0f7c0f39f
SHA512: c9e760ab768de37a468c096a22532b0290f016694044ba27c9560ca17217695a26fdfc2ba44a2d0338f6c5ecb2d1dcc877688f7236e0d73b7f1fb430ac051a12
Homepage: https://cran.r-project.org/package=twangMediation
Description: CRAN Package 'twangMediation' (Twang Causal Mediation Modeling via Weighting)
 Provides functions for estimating natural direct and indirect effects for
 mediation analysis. It uses weighting where the weights are functions of
 estimates of the probability of exposure or treatment assignment (Hong, G
 (2010).
 <https://cepa.stanford.edu/sites/default/files/workshops/GH_JSM%20Proceedings%202010.pdf>
 Huber, M. (2014). <doi:10.1002/jae.2341>). Estimation of probabilities can
 use generalized boosting or logistic regression. Additional functions
 provide diagnostics of the model fit and weights. The vignette provides
 details and examples.

Package: r-cran-twangrdc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1300
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xgboost, r-cran-data.table, r-cran-ggplot2, r-cran-matrixmodels
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-twangrdc_1.0-1.ca2004.1_all.deb
Size: 611124
MD5sum: 773131f2de77cfcb6b4e684ba1b257d2
SHA1: 7c6a2ca0ef8c7c283fed79519a798af7ab18b582
SHA256: 10b4b6ca11172f5ed2de726e2f7d90c4083a92f48aea86afa83b3ca8af84d986
SHA512: 8720f7f3ec7ad1cb3c627e19b4dcdd4052903df4892914669dfe8070f80c1f2a26bbc6406d2e5efa7d335c41f6d5af560b6889a4ce2d0cf4096954af619b8d50
Homepage: https://cran.r-project.org/package=twangRDC
Description: CRAN Package 'twangRDC' (Gradient Boosting for Linkage Failure in FSRDCs)
 Provides functions for gradient boosted weighting to correct linkage
 failures or generate comparison groups.

Package: r-cran-twc
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-doparallel, r-cran-foreach, r-cran-lubridate, r-cran-magrittr, r-cran-ncdf4, r-cran-raster, r-cran-sf, r-cran-sp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twc_0.0.2-1.ca2004.1_all.deb
Size: 88920
MD5sum: c56f4bfe540d53fdfdfa8e6078c0ea54
SHA1: 0366071283a538fcf77d67d7d224a890448a6280
SHA256: aeac0c75bb1fd5c193c904c470ddba24c76332889451040030aef939f7a9fdae
SHA512: a77dccbbc9b17284cccc84b90b5846c8981a112162ada94df94cfb58231852ca974f9356045a1f11c1c6d38064b2815b46d8c1cb6acbff9aa78c467dfbc44b3e
Homepage: https://cran.r-project.org/package=twc
Description: CRAN Package 'twc' (Terrestrial Water Cycle)
 An open-access tool/framework that constitutes the core functions to analyze
 terrestrial water cycle data across various spatio-temporal scales.

Package: r-cran-tweetcheck
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-tibble, r-cran-v8
Filename: pool/dists/focal/main/r-cran-tweetcheck_0.1.0-1.ca2004.1_all.deb
Size: 56904
MD5sum: 38f248fbadbdc51949f0a2ef0f548cd1
SHA1: 0f4280f39331ec9f227f6cb36152d360001abd32
SHA256: c5b016bed33e030fdaad14e7af548208bd2a5710636a1f4170d23e0204653227
SHA512: 204b752b1f24639b8bcbdb42fb70f53005bdff4eff6235c344b3af06d56dfb5cd2fdecfb632b532ce0ebbb675c07779e2b7ae2d5d81337772b76096adbde2467
Homepage: https://cran.r-project.org/package=tweetcheck
Description: CRAN Package 'tweetcheck' (Parse and Validate Tweet Text)
 An interface to 'twitter-text', a 'JavaScript' library which is responsible
 for determining the length/validity of a tweet and identifying/linking any
 URLs or special tags (e.g. mentions or hashtags) which may be present.

Package: r-cran-twenty48
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-r6, r-cran-rstudioapi
Filename: pool/dists/focal/main/r-cran-twenty48_0.2.1-1.ca2004.1_all.deb
Size: 111120
MD5sum: b7366be6d6f831a542ac527189631d6a
SHA1: 46ee6382d450c5cdc47862f15a141d53ff1be9a9
SHA256: 9eb7f881e421320d90b917c0807af384ce6680dc213751b92ac5f0bad678c59d
SHA512: 93d29d8c59af2d5c585afab4ac589e7a829111d721300c8c3934b9e91da21c38760f4f900947f29b7b71697c6962031ab3e9b59c7a49d2090f5a01d6303d646b
Homepage: https://cran.r-project.org/package=twenty48
Description: CRAN Package 'twenty48' (Play a Game of 2048 in the Console)
 Generates a game of 2048 that can be played in the console.  Supports grids
 of arbitrary sizes, undoing the last move, and resuming a game that was
 exited during the current session.

Package: r-cran-twfy
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 130
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-twfy_0.1.0-1.ca2004.1_all.deb
Size: 76652
MD5sum: ad8b2d56b98a3e663ac6f4b75a8a5b59
SHA1: b91fc52c55c47a2fb509e2bf1d4260fd6e0fc59d
SHA256: d7804f490f1b1c1240ccb9de7b6d670c3da6eac2bae0e63774a7943b3ba7c2d7
SHA512: 8efca99c35289f36eb76bbdd482179acbf4821077fad05706560cb9c217cc3bf63409c076071ae670e196fdc0ed32c94fb61d0e35e9522b761ffc19b3f11205d
Homepage: https://cran.r-project.org/package=twfy
Description: CRAN Package 'twfy' (Drive the API for TheyWorkForYou)
 An R wrapper around the API of TheyWorkForYou, a parliamentary monitoring
 site that scrapes and repackages Hansard (the UK's parliamentary record) and
 augments it with information from the Register of Members' Interests,
 election results, and voting records to provide a unified source of
 information about UK legislators and their activities. See
 <http://www.theyworkforyou.com> for details.

Package: r-cran-twiddler
Architecture: all
Version: 0.5-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-twiddler_0.5-0-1.ca2004.1_all.deb
Size: 45040
MD5sum: be6cd6c2ff6695c85511403c617afc7a
SHA1: d43061577cb17893bfa069fc7f61a3d3d40c1711
SHA256: 492c7695d537d55be07647d0d389d028c2e5fcba632d65ed580c6e069e63a900
SHA512: 1fa7b7677ecef9cf45e5c6bdc0357e984989f03c211f397b56a3cfc75ee6abc334b2a02fc961281ce1b6bc8e8d35baf95f8eadea5599b4f59f835d5e96ac172d
Homepage: https://cran.r-project.org/package=twiddler
Description: CRAN Package 'twiddler' (Interactive manipulation of R expressions)
 Twiddler is an interactive tool that automatically creates a Tcl/Tk GUI for
 manipulating variables in any R expression.  See the documentation of the
 function twiddle to get started.

Package: r-cran-twig
Architecture: all
Version: 1.0.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2316
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-foreach, r-cran-reshape2, r-cran-abind, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-twig_1.0.0.0-1.ca2004.1_all.deb
Size: 1926496
MD5sum: 81135219c4d152acc5986b0a40ec22ff
SHA1: 7ef5be3d69ff40cf68cf4ab8e8010e9e630ddd05
SHA256: 13bf1a225b46cfc7b575a18770dc9c796ee7d518afce48f0765a757aaa314e48
SHA512: d879469e99aa89a1939ea5b93a8719ea3310fcb1d59e2a1b80b793d9e7f5c8f854eb09b112b18ee3531e8df0aa9276e97a257cb2e1f3c0d6d417cda2cb51839c
Homepage: https://cran.r-project.org/package=twig
Description: CRAN Package 'twig' (For Streamlining Decision and Economic Evaluation Models usingGrammar of Modeling)
 Provides tools for building decision and cost-effectiveness analysis models.
 It enables users to write these models concisely, simulate
 outcomes—including probabilistic analyses—efficiently using optimized
 vectorized processes and parallel computing, and produce results. The
 package employs a Grammar of Modeling approach, inspired by the Grammar of
 Graphics, to streamline model construction. For an interactive graphical
 user interface, see 'DecisionTwig' at
 <https://www.dashlab.ca/projects/decision_twig/>. Comprehensive tutorials
 and vignettes are available at <https://hjalal.github.io/twig/>.

Package: r-cran-twilio
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-purrr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-lubridate
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twilio_0.1.0-1.ca2004.1_all.deb
Size: 25812
MD5sum: 8f18ecce665131b4c86898fa4954e186
SHA1: 7d1759c5bf669556be50f0c379832eb692b734a5
SHA256: 7ea13f9e399b974ef7da6824aa3e0de6c176b9e02a7551e3cd6e50369fcf517e
SHA512: 7fdf3ed836813c64db4545c35f2a35ea18627a5e9991f0d4fe809461625907b0fc4f6e30cc7a0ed6fa44b7b17caf9a6818bb821c2d8b2ff6649343d7bb924645
Homepage: https://cran.r-project.org/package=twilio
Description: CRAN Package 'twilio' (An Interface to the Twilio API for R)
 The Twilio web service provides an API for computer programs to interact
 with telephony. The included functions wrap the SMS and MMS portions of
 Twilio's API, allowing users to send and receive text messages from R. See
 <https://www.twilio.com/docs/> for more information.

Package: r-cran-twitmo
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2613
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-plyr, r-cran-stopwords, r-cran-stringr, r-cran-dplyr, r-cran-readr, r-cran-magrittr, r-cran-rtweet, r-cran-quanteda, r-cran-quanteda.textstats, r-cran-topicmodels, r-cran-stm, r-cran-tidyr, r-cran-rlang, r-cran-maps, r-cran-ldavis, r-cran-leaflet, r-cran-ldatuning, r-cran-stringi, r-cran-tm
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-tidytext, r-cran-modeltools, r-cran-servr
Filename: pool/dists/focal/main/r-cran-twitmo_0.1.2-1.ca2004.1_all.deb
Size: 1739380
MD5sum: c9dd68e6d9c84f7d88a0cf6f0fb6a3a9
SHA1: d05312fa3086a603d6d6d5ec4de6007e03802804
SHA256: 7082b047a993e7332d0c81c8dadb4460734068c7113cc843bcf479e8c70ea3a2
SHA512: 36f8abcc3b80d2bd30e1b1bf91f33f4c6fc1658962ff0eaca4d52248002d2a06aab279315463fb22c893571562adbb130ba121a80764c3c6f61a14ba5122dae9
Homepage: https://cran.r-project.org/package=Twitmo
Description: CRAN Package 'Twitmo' (Twitter Topic Modeling and Visualization for R)
 Tailored for topic modeling with tweets and fit for visualization tasks in
 R.  Collect, pre-process and analyze the contents of tweets using LDA and
 structural topic models (STM). Comes with visualizing capabilities like
 tweet and hashtag maps and built-in support for 'LDAvis'.

Package: r-cran-twitter
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 707
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bit64, r-cran-rjson, r-cran-dbi, r-cran-httr
Suggests: r-cran-rsqlite, r-cran-rmysql
Filename: pool/dists/focal/main/r-cran-twitter_1.1.9-1.ca2004.1_all.deb
Size: 596912
MD5sum: 1fdbf54519da11a1702287c93a98f738
SHA1: 22850e27c554c2858acf673b0875af67b9754f86
SHA256: 5b48af94f4ebf2500e651dcee6a54fa90e0bb8f064d8f0e8789e98ef79035203
SHA512: 2b43eae573f8de332d232a507476a73464b450cc92a1b1890e0a4550b6d3f5267cfc623d31ed460a38267309c726bba198f053ce323396eacebafe71e053fb8b
Homepage: https://cran.r-project.org/package=twitteR
Description: CRAN Package 'twitteR' (R Based Twitter Client)
 Provides an interface to the Twitter web API.

Package: r-cran-twitteradsr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-twitteradsr_0.1.0-1.ca2004.1_all.deb
Size: 22224
MD5sum: 90718422c9df6627d38df173f5aabab3
SHA1: e6699a24dae7e5963d7c1ed9e55bf0b997dd677d
SHA256: f2d74841d85416aec7b825f96e451fdd5a8dbc60cdcbec38c732d9b4f50e1c00
SHA512: 05cbdc29de356c6b78f55a85d751af3f15e6b63c7a9a1fea12e47d647b5ea777c1d7cbddf0dabca164400b0810a3a17d92c268c70ab58a09297ec55a221b98cb
Homepage: https://cran.r-project.org/package=twitteradsR
Description: CRAN Package 'twitteradsR' (Get Twitter Ads Data via the 'Windsor.ai' API)
 Collect your data on digital marketing campaigns from Twitter Ads using the
 'Windsor.ai' API <https://windsor.ai/api-fields/>.

Package: r-cran-twitterautomatedtrading
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-dplyr, r-cran-jsonlite, r-cran-lubridate, r-cran-plyr, r-cran-purrr, r-cran-tibble, r-cran-twitter, r-cran-naptime, r-cran-tidytext, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-twitterautomatedtrading_0.1.0-1.ca2004.1_all.deb
Size: 122724
MD5sum: 81790849e73076aa1b2f962f9710ebc6
SHA1: dfcf9ae8c8113ba365b2ed982bafe4e3eb168c9e
SHA256: bad135cc6645d4c1b67a3a827d9ceba4b52768eb0e39bd5f5dcc2aaa27288860
SHA512: bd95222452c914c43e53d5d48a2b0e0d127c3c42b669d6dc54259c9288c31b55a56e0fbe318560cd66e3f7e1ed56a7dd2994384540ae95d283eed27fe36e0acb
Homepage: https://cran.r-project.org/package=TwitterAutomatedTrading
Description: CRAN Package 'TwitterAutomatedTrading' (Automated Trading Using Tweets)
 Provides an integration to the 'metatrader 5'.  The functionalities carry
 out automated trading using sentiment indexes computed from 'twitter' and/or
 'stockwits'.  The sentiment indexes are based on the ph.d. dissertation
 "Essays on Economic Forecasting Models" (Godeiro,2018)
 <https://repositorio.ufpb.br/jspui/handle/123456789/15198> The integration
 between the 'R' and the 'metatrader 5' allows sending buy/sell orders to the
 brokerage.

Package: r-cran-twitterwidget
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-twitterwidget_0.1.1-1.ca2004.1_all.deb
Size: 38876
MD5sum: e2713dfaca767c7b05189f0c054894ea
SHA1: 2055fcb322d4823da082c46dec902e12fff5b8c6
SHA256: 783ad6402a6f941e91c6e5980a70a6249a867f3fed5b27ad9363fe7cd0763b00
SHA512: 62068de9fa2ad77e9fb1c79fe854d6479bb1fc0a7a3e2693fa4ed22a2fb91a6493a6c5577bfba2dfd1810cdb65b4b4244c6d5c6472b44deaeb9a32adc4681da6
Homepage: https://cran.r-project.org/package=twitterwidget
Description: CRAN Package 'twitterwidget' (Render a Twitter Status in R Markdown Pages)
 Include the Twitter status widgets in HTML pages created using R markdown.
 The package uses the Twitter javascript APIs to embed in your document
 Twitter cards associated to specific statuses.  The main targets are regular
 HTML pages or dashboards.

Package: r-cran-twl
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2397
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-mcmcpack, r-cran-corrplot, r-cran-rfast
Filename: pool/dists/focal/main/r-cran-twl_1.0-1.ca2004.1_all.deb
Size: 1989908
MD5sum: 251ea8b0e6134820018a3ae85bec4cf2
SHA1: 9537adf3a337ee1d26b9d291ea3b1e7121a72d33
SHA256: 5c6b62cd5eae6d138e48d436cbf805653d40622b7f140c596744852f66a81037
SHA512: 400d7226e20c0fd7a710ba0dec0dddd306a3b9f3c84efea8d509e4981edd0ac1b821d4e1c12741b86269fb5fb34238ffc0cfdcb0e83e2d6d788de1f75fe66a3b
Homepage: https://cran.r-project.org/package=twl
Description: CRAN Package 'twl' (Two-Way Latent Structure Clustering Model)
 Implementation of a Bayesian two-way latent structure model for integrative
 genomic clustering.  The model clusters samples in relation to distinct data
 sources, with each subject-dataset receiving a latent cluster label, though
 cluster labels have across-dataset meaning because of the model formulation.
 A common scaling across data sources is unneeded, and inference is obtained
 by a Gibbs Sampler.  The model can fit multivariate Gaussian distributed
 clusters or a heavier-tailed modification of a Gaussian density.  Uniquely
 among integrative clustering models, the formulation makes no nestedness
 assumptions of samples across data sources -- the user can still fit the
 model if a study subject only has information from one data source. The
 package provides a variety of post-processing functions for model
 examination including ones for quantifying observed alignment of clusterings
 across genomic data sources.  Run time is optimized so that analyses of
 datasets on the order of thousands of features on fewer than 5 datasets and
 hundreds of subjects can converge in 1 or 2 days on a single CPU.  See
 "Swanson DM, Lien T, Bergholtz H, Sorlie T, Frigessi A, Investigating
 Coordinated Architectures Across Clusters in Integrative Studies: a Bayesian
 Two-Way Latent Structure Model, 2018, <doi:10.1101/387076>, Cold Spring
 Harbor Laboratory" at
 <https://www.biorxiv.org/content/early/2018/08/07/387076.full.pdf> for model
 details.

Package: r-cran-twn
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2498
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble, r-cran-dplyr, r-cran-crayon, r-cran-rlang, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyr, r-cran-readr
Filename: pool/dists/focal/main/r-cran-twn_0.2.5-1.ca2004.1_all.deb
Size: 2270180
MD5sum: f90c4dcc11573042156b57b614a128a4
SHA1: 42082e3d8820964b841629607932c5d62a41f35b
SHA256: 00b0364a96356d27a00e9be42ddfb1cac6dedaf1a9c246551a8fb0676dc00eb5
SHA512: 098a8f4b3bb2af51d327e1c246218e2a9061858602ef2ed5a1923ca4737e670f1fa6c21d93458b26b44582e897a52440461e6f64e46ef1091b935f128e295be8
Homepage: https://cran.r-project.org/package=twn
Description: CRAN Package 'twn' (Taxa Waterbeheer Nederland voor R)
 The TWN-list (Taxa Waterbeheer Nederland) is the Dutch standard for naming
 taxons in Dutch Watermanagement. This package makes it easier to use the
 TWN-list for ecological analyses. It consists of two parts. First it makes
 the TWN-list itself available in R. Second, it has a few functions that make
 it easy to perform some basic and often recurring tasks for checking and
 consulting taxonomic data from the TWN-list.

Package: r-cran-twoarmsurvsim
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-blockrand, r-cran-dplyr, r-cran-survival, r-cran-simsurv
Filename: pool/dists/focal/main/r-cran-twoarmsurvsim_0.2-1.ca2004.1_all.deb
Size: 139844
MD5sum: 3403e824f50cc428e67612f35c3fa71b
SHA1: a9d99dc8bf281678570fb5531ab54da6d596af09
SHA256: 0514c5f857cc8a83a39ce27d8f6e8134198fe3bd891954087f07257b07411d30
SHA512: 629af48ff0f242f9661898ccb85d9fb5ac5223739bfae7e810995bb817b18d5f208094f06d56a8e3c924b491597edd3dc25715aa562c809ffda62105e153731d
Homepage: https://cran.r-project.org/package=TwoArmSurvSim
Description: CRAN Package 'TwoArmSurvSim' (Simulate Survival Data for Randomized Clinical Trials)
 A system to simulate clinical trials with time to event endpoints. Event
 simulation is based on Cox models allowing for covariates in addition to the
 treatment or group factor. Specific drop-out rates (separate from
 administrative censoring) can be controlled in the simulation. Other
 features include stratified randomization, non-proportional hazards,
 different accrual patterns, and event projection (timing to reach the target
 event) based on interim data.

Package: r-cran-twopartm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 932
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-mass
Filename: pool/dists/focal/main/r-cran-twopartm_0.1.0-1.ca2004.1_all.deb
Size: 848508
MD5sum: 1b1cdd364eb8f62850c176f9751f9ad4
SHA1: e5715d1c60e54ef0897dc55e07ebe64733697a18
SHA256: 67adf03a9efb1c94d01d707e66470a5abf4a20bc89a8491fa8d52cea92587010
SHA512: 96874538e435687fe76aa5ef1677b2c03acbfa2881d5d1b7551803eb5995b6d834f24291304f5d27aa4bdcd56ac28b6e2c6327f3f622cb8cecbd6184c55addb0
Homepage: https://cran.r-project.org/package=twopartm
Description: CRAN Package 'twopartm' (Two-Part Model with Marginal Effects)
 Fit two-part regression models for zero-inflated data. The models and their
 components are represented using S4 classes and methods. Average Marginal
 effects and predictive margins with standard errors and confidence intervals
 can be calculated from two-part model objects. Belotti, F., Deb, P.,
 Manning, W. G., & Norton, E. C. (2015) <doi:10.1177/1536867X1501500102>.

Package: r-cran-twopexp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twopexp_0.1.0-1.ca2004.1_all.deb
Size: 38632
MD5sum: 23b8e85e200ff781863d2251504239c8
SHA1: 0c63dffe8c8ab53fdb467c493dc51e3a0bac886d
SHA256: 51f8caddabd99de09894595850266d233bcc8a3063c0afa21b104b48f4878c02
SHA512: 87b32ec2ef7b572ca45334201ca37cb1a7ce6c3e2ce12942e3ea491355dbd413f3f0fe884d089335d3dcf36e28ef9c81aa2e4e8d8159ef7260ac1316b493a20e
Homepage: https://cran.r-project.org/package=twopexp
Description: CRAN Package 'twopexp' (The Two Parameter Exponential Distribution)
 Density, distribution function, quantile function, and random generation
 function, maximum likelihood estimation (MLE), penalized maximum likelihood
 estimation (PMLE), the quartiles method estimation (QM), and median rank
 estimation (MEDRANK) for the two-parameter exponential distribution.  MLE
 and PMLE are based on Mengjie Zheng
 (2013)<https://scse.d.umn.edu/sites/scse.d.umn.edu/files/mengjie-thesis_masters-1.pdf>.
 QM is based on Entisar Elgmati and Nadia Gregni
 (2016)<doi:10.5539/ijsp.v5n5p12>.  MEDRANK is based on Matthew Reid
 (2022)<doi:10.5281/ZENODO.3938000>.

Package: r-cran-tworegression
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4715
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-gridextra, r-cran-pautilities, r-cran-proc, r-cran-rcpproll, r-cran-rlang, r-cran-lubridate, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-tworegression_1.0.0-1.ca2004.1_all.deb
Size: 738352
MD5sum: 617f6a845877ec9e3d46c53289861feb
SHA1: f4cf64ccee7a203d7c10962bbe4e36fac506e827
SHA256: 364a8d7f833bba6d1a0ba3ba0361afb24e05f63912b6932548ffe1f45f38a84e
SHA512: 12dac8e7299421ff4ca827bf049f4773e50eb5f5ca206f288626237cbe34392f34e02727d8973a068de194a70b75e635f2d5f128ab1f224edf062a901b25f6e4
Homepage: https://cran.r-project.org/package=TwoRegression
Description: CRAN Package 'TwoRegression' (Develop and Apply Two-Regression Algorithms)
 Facilitates development and application of two-regression algorithms for
 research-grade wearable devices. It provides an easy way for users to access
 previously-developed algorithms, and also to develop their own. Initial
 motivation came from Hibbing PR, LaMunion SR, Kaplan AS, & Crouter SE (2018)
 <doi:10.1249/MSS.0000000000001532>.  However, other algorithms are now
 supported. Please see the associated references in the package documentation
 for full details of the algorithms that are supported.

Package: r-cran-twosampletest.hd
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-twosampletest.hd_1.2-1.ca2004.1_all.deb
Size: 41948
MD5sum: 96a3d7f1d9b8b99165325d40bd84dc78
SHA1: 4bff27a39b1823179434e106fd803d16046f940a
SHA256: 0f08a24879e4af5c84752b853f3d40042a638d14473eac0ae305a9dd064a954e
SHA512: a0d677993a36009cfbdd4f96d7575946f678163ed0a9a339c21f3b5314d17d404a07969f39e755bef24fd14e075e52d8f6ad50ab163d2b20a1bb8ec353c947b5
Homepage: https://cran.r-project.org/package=TwoSampleTest.HD
Description: CRAN Package 'TwoSampleTest.HD' (A Two-Sample Test for the Equality of Distributions forHigh-Dimensional Data)
 For high-dimensional data whose main feature is a large number, p, of
 variables but a small sample size, the null hypothesis that the marginal
 distributions of p variables are the same for two groups is tested. We
 propose a test statistic motivated by the simple idea of comparing, for each
 of the p variables, the empirical characteristic functions computed from the
 two samples. If one rejects this global null hypothesis of no differences in
 distributions between the two groups, a set of permutation p-values is
 reported to identify which variables are not equally distributed in both
 groups.

Package: r-cran-twosigma
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 678
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-multcomp, r-cran-glmmtmb, r-cran-pscl, r-cran-pbapply, r-cran-doparallel
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twosigma_1.0.2-1.ca2004.1_all.deb
Size: 591304
MD5sum: f0d3d2ac0e6872bcf1d675a791c1d6a7
SHA1: 74e1fd9f5754b4cd60a0f0cbca14bc1744292817
SHA256: 789a918949cadf357d4baf03aa4a0a5a225aac7b4ba078a59bce2dfa43898ff8
SHA512: 5ea01e9bc619fe791fad5869c08f01bb6a491a3e762ac19acea2378ae4dffa0ebaaa84f06152873bd337dfea12f0c7d2f097d4501ab191ece5642194534d1185
Homepage: https://cran.r-project.org/package=twosigma
Description: CRAN Package 'twosigma' (DE Analysis for Single-Cell RNA-Sequencing Data)
 Implements the TWO-Component Single Cell Model-Based Association Method
 (TWO-SIGMA) for gene-level differential expression (DE) analysis and
 DE-based gene set testing of single-cell RNA-sequencing datasets. See Van
 Buren et al. (2020) <doi:10.1002/gepi.22361> and Van Buren et al. (2021)
 <doi:10.1101/2021.01.24.427979>.

Package: r-cran-twostagedesigntmle
Architecture: all
Version: 1.0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tmle
Suggests: r-cran-dbarts, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-twostagedesigntmle_1.0.1.2-1.ca2004.1_all.deb
Size: 55088
MD5sum: d86c2e5c912d4bf6cfe2ad77b1a25b3f
SHA1: 0390728c044cc094e8e1f4fe13f41019cfb70973
SHA256: 840f73686183d8f1276edd0eb86b308d97a8b8febf60a7976191e7ebc826cea2
SHA512: 6c20afa41d3d303ecac2738bc7227ae37b4708866a39432098c9cfbf7dd4fe4057fd3086a3bc4769572b396bf01cd89203a4b2bbd6e222e2fb9b4ddaf1c9652d
Homepage: https://cran.r-project.org/package=twoStageDesignTMLE
Description: CRAN Package 'twoStageDesignTMLE' (Targeted Maximum Likelihood Estimation for Two-Stage StudyDesign)
 An inverse probability of censoring weighted (IPCW) targeted maximum
 likelihood estimator (TMLE) for evaluating a marginal point treatment effect
 from data where some variables were collected on only a subset of
 participants using a two-stage design (or marginal mean outcome for a single
 arm study). A TMLE for conditional parameters defined by a marginal
 structural model (MSM) is also available.

Package: r-cran-twostagete
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-isotone
Filename: pool/dists/focal/main/r-cran-twostagete_1.3-1.ca2004.1_all.deb
Size: 295796
MD5sum: f21767b13dec6b04da68b7d6a2992cac
SHA1: b0f39af2171859a8c8d6202bd36fb9498b28a321
SHA256: 30f6d213f646781f7cbfb06e5f6652e9135286778ccd4258c0333a8f751ba0b3
SHA512: a378f6d05af78785cdb66415b6122fed681e9a37e64f479fa325e516236c7222ae3a097632eb178dc7cc518cd480ceaa40c5d6f3ab9fcf16b9fc44f85595958c
Homepage: https://cran.r-project.org/package=twostageTE
Description: CRAN Package 'twostageTE' (Two-Stage Threshold Estimation)
 Implements a variety of non-parametric methods for computing one-stage and
 two-stage confidence intervals, as well as point estimates of threshold
 values.

Package: r-cran-twostepclogit
Architecture: all
Version: 1.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twostepclogit_1.2.6-1.ca2004.1_all.deb
Size: 102068
MD5sum: 7a1a59bef2827f4e278dab4cafebd549
SHA1: fa1dabf4c8718d374131ab360a78a687287d1427
SHA256: 1be9588795a28c95e7390bab825b4a75a4aa75e7c67f3bb53e03464ee3d10e2c
SHA512: 1d35241fe83052c19abcd07d7b58f073e1a6a15e66fdf9de5fbe05057196f619cd16a4c54b010ec2816d427ddc3ef82e1e44a4e0c1a6479c26f26a79008b38e0
Homepage: https://cran.r-project.org/package=TwoStepCLogit
Description: CRAN Package 'TwoStepCLogit' (Conditional Logistic Regression: A Two-Step Estimation Method)
 Conditional logistic regression with longitudinal follow up and
 individual-level random coefficients: A stable and efficient two-step
 estimation method.

Package: r-cran-twotimescales
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1636
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-epi, r-cran-fields, r-cran-jops, r-cran-lmmsolver, r-cran-popepi, r-cran-reshape2, r-cran-spam, r-cran-ucminf, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-twotimescales_1.0.0-1.ca2004.1_all.deb
Size: 1186844
MD5sum: ced91c690ac36181c4f95924efc3eb2e
SHA1: 71f0a53c79925db56730e0daa066ab9d615035ab
SHA256: 6e036e58917222c54c4a891be8c284d575366d7bb3e69482f8416f3de55455af
SHA512: 4150029e367ffcbaee58cf457cc8ba9a9a3d6be744effc14f15ad01b234fe7612d14d28d4e659d4fe9fcca49306fe61f65d8cc5b6b4a62f34c3211a1b2674101
Homepage: https://cran.r-project.org/package=TwoTimeScales
Description: CRAN Package 'TwoTimeScales' (Analysis of Event Data with Two Time Scales)
 Analyse time to event data with two time scales by estimating a smooth
 hazard that varies over two time scales and also, if covariates are
 available, to estimate a proportional hazards model with such a
 two-dimensional baseline hazard.  Functions are provided to prepare the raw
 data for estimation, to estimate and to plot the two-dimensional smooth
 hazard.  Extension to a competing risks model are implemented. For details
 about the method please refer to Carollo et al. (2024)
 <doi:10.1002/sim.10297>.

Package: r-cran-twotrials
Architecture: all
Version: 0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-twotrials_0.6-1.ca2004.1_all.deb
Size: 65992
MD5sum: 735f64823c1f99e77cf22752a9a90b6d
SHA1: 7e8431c231df5751fa49bf0a178852d3f7cd7af4
SHA256: af012b5cf62183118148ae81406f2d96f908df0264f267c034595f4ecd8f9f02
SHA512: 595478d486e069ebdd43314bd07320952b4bdc13f45c5f6c44ad5e9a31c923eb43bac511c0135d885d8a97284f3dfab3e17dce4d78e052eb26e24b9f84b7513a
Homepage: https://cran.r-project.org/package=twotrials
Description: CRAN Package 'twotrials' (Compatible Point Estimates, Confidence Intervals, and P-Valuesfor Two Trials)
 Implements combined p-value functions for two trials along with compatible
 combined point and interval estimates as described in Pawel, Roos, and Held
 (2025) <doi:10.48550/arXiv.2503.10246>.

Package: r-cran-twoway
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-twoway_0.6.3-1.ca2004.1_all.deb
Size: 72700
MD5sum: 72ed256e054e2fff23d53b192ee48673
SHA1: 277af90add64e71124565c9e475f548d3e5b2c9e
SHA256: 2d8e4e48104681f9296b9212ed5f7e4c4255a8d6becdc51bf6f2f8fea79403f5
SHA512: 04a9e90d6d77b71c3ca9defa4c1b9ec71c66feb173d78d779403ecbf1bfda9021ba9a99fe5f9c9be7c849473c23c30ab8afe00759ba0ff9e7e93b39c9d4a5a29
Homepage: https://cran.r-project.org/package=twoway
Description: CRAN Package 'twoway' (Analysis of Two-Way Tables)
 Carries out analyses of two-way tables with one observation per cell,
 together with graphical displays for an additive fit and a diagnostic plot
 for removable 'non-additivity' via a power transformation of the response.
 It implements Tukey's Exploratory Data Analysis (1973) <ISBN:
 978-0201076165> methods, including a 1-degree-of-freedom test for row*column
 'non-additivity', linear in the row and column effects.

Package: r-cran-twowayfeweights
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-cli, r-cran-fixest, r-cran-rlang, r-cran-haven
Suggests: r-cran-tinytest, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-twowayfeweights_2.0.4-1.ca2004.1_all.deb
Size: 58656
MD5sum: 4dbb50a3baeb586a7d2fbe24c9baed1d
SHA1: 50da8d0935c58a1b02ecf57baf9e507aa918c78f
SHA256: c1e790fb8d0af0649391017183893d715deaec0e08c9ee899c3993e7d21b7f2d
SHA512: 87732ae5aca2b085b903eef8b8135169615e4ab01c8c231f3bb0ab2a9b7819485b57ef2cfedf0039160db77cfe2ee0f88664cc0fe77d2179c2c2631c70a28914
Homepage: https://cran.r-project.org/package=TwoWayFEWeights
Description: CRAN Package 'TwoWayFEWeights' (Estimation of the Weights Attached to the Two-Way Fixed EffectsRegressions)
 Estimates the weights and measure of robustness to treatment effect
 heterogeneity attached to two-way fixed effects regressions.  Clément de
 Chaisemartin, Xavier D'Haultfœuille (2020) <DOI: 10.1257/aer.20181169>.

Package: r-cran-twowaytests
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-onewaytests, r-cran-ggplot2, r-cran-nortest, r-cran-car, r-cran-wesanderson, r-cran-mass
Suggests: r-cran-wrs2
Filename: pool/dists/focal/main/r-cran-twowaytests_1.5-1.ca2004.1_all.deb
Size: 137372
MD5sum: c98fea226a2985e15a78b881c7597b3c
SHA1: 6c68d1aa3b4e7cf138f6c9ff10a4f7ed38c3ed69
SHA256: 7523493e8e1e7d9648b8ae8b5d8c397274ee4e4099694f7a6818b2cb18972dff
SHA512: e856b2113a3280d317ab7a7fb19e2b822fed5b412c8e0b60905f4ee2b99c4b21fcc560baf5b32d7734895bf794fd9f421308bc3eb731f91a677a605200f2c96d
Homepage: https://cran.r-project.org/package=twowaytests
Description: CRAN Package 'twowaytests' (Two-Way Tests in Independent Groups Designs)
 Performs two-way tests in independent groups designs. These are two-way
 ANOVA, two-way ANOVA under heteroscedasticity: parametric bootstrap based
 generalized test and generalized pivotal quantity based generalized test,
 two-way ANOVA for medians, trimmed means, M-estimators. The package performs
 descriptive statistics and graphical approaches. Moreover, it assesses
 variance homogeneity and normality of data in each group via tests and
 plots. All 'twowaytests' functions are designed for two-way layout (Dag et
 al., 2024, <doi:10.1016/j.softx.2024.101862>).

Package: r-cran-twoxtwo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-magrittr, r-cran-rlang, r-cran-knitr
Suggests: r-cran-testthat, r-cran-lifecycle, r-cran-rmarkdown, r-cran-ggplot2, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-twoxtwo_0.1.0-1.ca2004.1_all.deb
Size: 126336
MD5sum: f9f8d3de6baf57dc2b596542f9e7e87e
SHA1: 036d1578b15ba46ceb71022d135cdfb54c808e94
SHA256: e92a7bd56ab2a0629fd435e5d09db51318ccc9e8e919da93740f75b86b9869b6
SHA512: 0e634eca6fbd446998fd528b5bb1a4c760f84dd58ec1cf2b0264f9a3afa4b0f49c651bdd06c58a2766ecef5af9d7bea474814a10e02286cca0900227da872d60
Homepage: https://cran.r-project.org/package=twoxtwo
Description: CRAN Package 'twoxtwo' (Work with Two-by-Two Tables)
 A collection of functions for data analysis with two-by-two contingency
 tables. The package provides tools to compute measures of effect (odds
 ratio, risk ratio, and risk difference), calculate impact numbers and
 attributable fractions, and perform hypothesis testing. Statistical analysis
 methods are oriented towards epidemiological investigation of relationships
 between exposures and outcomes.

Package: r-cran-tww
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tww_0.1.0-1.ca2004.1_all.deb
Size: 21904
MD5sum: b0d33f42b2054c7461834fa7496b5373
SHA1: 6311e2c64de93d5ba11b315b92d4f18f40dce98a
SHA256: 4a17d9883da38775a3c791ebf8b985ecd0a230932b3a637b1c43fdbd588de1a2
SHA512: 054ec34ac154e838a23b179a3baa78748e9ceea8dd440a29f415f8214a8d1f7bfdbef569c1a222b252106ece4cafa889c20233d49bae142572780f47e4b9f96d
Homepage: https://cran.r-project.org/package=TWW
Description: CRAN Package 'TWW' (Growth Models)
 A model for the growth of self-limiting populations using three, four, or
 five parameter functions, which have wide applications in a variety of
 fields.  The dependent variable in a dynamical modeling could be the
 population size at time x, where x is the independent variable. In the
 analysis of quantitative polymerase chain reaction (qPCR), the dependent
 variable would be the fluorescence intensity and the independent variable
 the cycle number. This package then would calculate the TWW cycle threshold.

Package: r-cran-txshift
Architecture: all
Version: 0.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-data.table, r-cran-assertthat, r-cran-mvtnorm, r-cran-hal9001, r-cran-haldensify, r-cran-lspline, r-cran-ggplot2, r-cran-scales, r-cran-latex2exp, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-future, r-cran-future.apply, r-cran-origami, r-cran-ranger, r-cran-rsolnp, r-cran-nnls
Filename: pool/dists/focal/main/r-cran-txshift_0.3.8-1.ca2004.1_all.deb
Size: 148672
MD5sum: ecdbfd0085a75d5681d5fd7f7bc45650
SHA1: 145635fba496b51295adf2157518a7ca20729631
SHA256: ee2f11d06f582dfbaaf944120a2b0cc2de94f3a59d072f0946bdbdcb07737d8e
SHA512: e0013431198a7b8814722886f3ae9a0977a30b8d25d549c0a93fae8309c5edf3205a77412b87efd3f4b09a8983562713ed74e5a8dfff0fdf8b7fb31ea1ed6ca2
Homepage: https://cran.r-project.org/package=txshift
Description: CRAN Package 'txshift' (Efficient Estimation of the Causal Effects of StochasticInterventions)
 Efficient estimation of the population-level causal effects of stochastic
 interventions on a continuous-valued exposure. Both one-step and targeted
 minimum loss estimators are implemented for the counterfactual mean value of
 an outcome of interest under an additive modified treatment policy, a
 stochastic intervention that may depend on the natural value of the
 exposure. To accommodate settings with outcome-dependent two-phase sampling,
 procedures incorporating inverse probability of censoring weighting are
 provided to facilitate the construction of inefficient and efficient
 one-step and targeted minimum loss estimators.  The causal parameter and its
 estimation were first described by Díaz and van der Laan (2013)
 <doi:10.1111/j.1541-0420.2011.01685.x>, while the multiply robust estimation
 procedure and its application to data from two-phase sampling designs is
 detailed in NS Hejazi, MJ van der Laan, HE Janes, PB Gilbert, and DC
 Benkeser (2020) <doi:10.1111/biom.13375>. The software package
 implementation is described in NS Hejazi and DC Benkeser (2020)
 <doi:10.21105/joss.02447>. Estimation of nuisance parameters may be enhanced
 through the Super Learner ensemble model in 'sl3', available for download
 from GitHub using 'remotes::install_github("tlverse/sl3")'.

Package: r-cran-txtplot
Architecture: all
Version: 1.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-txtplot_1.0-5-1.ca2004.1_all.deb
Size: 52060
MD5sum: 0cc37f360074f88a9d63d8054d8f53ff
SHA1: 7c1b93f8664cf0239f36d72f973e2bd1a31f08e9
SHA256: b076aa78de03c998c08a822d435a7b1621c7df074c3e9039dfabfe07ca2a5929
SHA512: 44c1f29a58f5b60afb7009888c71741baaac35a2bb36514ca18d43ef4b9f2906c1d9ffac02d22078a5759d417a1b6422871cf1e8a30e12091e7e2f86f9af9c89
Homepage: https://cran.r-project.org/package=txtplot
Description: CRAN Package 'txtplot' (Text Based Plots)
 Provides functions to produce rudimentary ascii graphics directly in the
 terminal window. Provides a basic plotting function (and equivalents of
 curve, density, acf and barplot) as well as boxplot and image functions.

Package: r-cran-txtq
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-base64url, r-cran-filelock, r-cran-r6
Suggests: r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-txtq_0.2.4-1.ca2004.1_all.deb
Size: 67408
MD5sum: a76a99afaeb531d33d388e453f73ed7c
SHA1: ada0b6943630088fcb7f9b29697e2d5d7f9ac130
SHA256: 67115b219fb2932262a68458b58e9ce40fd19dd6060228b048ec0223195e70ff
SHA512: ad1784fc291f74dfeb1b44f677575854eaef8ea1691c1dd63d8d97efd13757d75637d9af768fc287533afeb225047469349594fd132c0aa40828ecaa4507e790
Homepage: https://cran.r-project.org/package=txtq
Description: CRAN Package 'txtq' (A Small Message Queue for Parallel Processes)
 This queue is a data structure that lets parallel processes send and receive
 messages, and it can help coordinate the work of complicated parallel tasks.
 Processes can push new messages to the queue, pop old messages, and obtain a
 log of all the messages ever pushed. File locking preserves the integrity of
 the data even when multiple processes access the queue simultaneously.

Package: r-cran-typed
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waldo
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-typed_0.0.1-1.ca2004.1_all.deb
Size: 99720
MD5sum: 74f709e149068ba4ae10fb3486fb689d
SHA1: 32c9ef15ecb516d3d4b5b09b2b06062c45c55d2e
SHA256: 6c6d545d862b429aa16cd58321193e9641553280143441cab6edc2950ac94fd4
SHA512: eec68bfd6de2ad6961b874798625c0d308d089eed82ed43ab33f0198d814b9b8e97c199d23ab94e218f78803eb21753202281317d237496f0d5c0427f2865b15
Homepage: https://cran.r-project.org/package=typed
Description: CRAN Package 'typed' (Support Types for Variables, Arguments, and Return Values)
 A type system for R. It supports setting variable types in a script or the
 body of a function, so variables can't be assigned illegal values. Moreover
 it supports setting argument and return types for functions.

Package: r-cran-typehint
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-crayon, r-cran-rlist
Filename: pool/dists/focal/main/r-cran-typehint_0.1.2-1.ca2004.1_all.deb
Size: 75328
MD5sum: 740ee88c683f6ad0a3e457911d8f6865
SHA1: fd5061cfc152310f2e594db0c732bbe0562c8402
SHA256: 67a39a9afeec3a4d6145efb4f3a4a137749a12b0396d38f73d3459f930066fd6
SHA512: 85fdb07783d25a357513f673d5adadb8ade9a29ca26fd074fd9ceaf975d1552e9fff4e510651ad0da5b8918e9d6bc3e32c3c4d73a965b187c8146bdaacfc260f
Homepage: https://cran.r-project.org/package=typehint
Description: CRAN Package 'typehint' (Auto-Check Types, Dimensions, and Values of Function Arguments)
 Type hints are special comments within a function body indicating the
 intended nature of the function's arguments in terms of data types,
 dimensions and permitted values. The actual parameters with which the
 function is called are evaluated against these type hint comments at
 run-time.

Package: r-cran-types
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-types_1.0.0-1.ca2004.1_all.deb
Size: 15488
MD5sum: 1f4b4d987d78db47032a058967025ac4
SHA1: 7f99f44db9bc71ab11b05de8b51e1282dd06ff60
SHA256: fedb7dd12d953146c5cbd86f41ec3cbc45b945e9004b0714f543a5bb8f030779
SHA512: a3e1bbb0748e51a4be71cf21fa5b1346b0416922574d73b9a3ed9f9d96ff4bc44f7dc0e3bbf8f539d83ff28712659fcfc6fe6a2bd71ae276f1621889f54bc0db
Homepage: https://cran.r-project.org/package=types
Description: CRAN Package 'types' (Type Annotations)
 Provides a simple type annotation for R that is usable in scripts, in the R
 console and in packages. It is intended as a convention to allow other
 packages to use the type information to provide error checking, automatic
 documentation or optimizations.

Package: r-cran-typr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-fs, r-cran-processx, r-cran-rlang
Suggests: r-cran-jsonlite, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-typr_0.0.3-1.ca2004.1_all.deb
Size: 57960
MD5sum: 1950944e63006bc7f2660c9b10de2032
SHA1: 59f60e2b3dc65c33870fcc0c1cb5be25283827dd
SHA256: 264ae8678c3d1bb15b673d5f05577d051fbb8a4078349704aae10ab176853985
SHA512: d046431f57cf0c2faa7b4aa2fa973665802f4e1780bcdb7924ce72ce684184b1c8c43671b4a850a6b21e60b59a9326cafd7a00aee95c0d32968116dc094e199f
Homepage: https://cran.r-project.org/package=typr
Description: CRAN Package 'typr' (Write and Render 'Typst' Documents)
 Compile 'Typst' files using the 'typst-cli' (<https://typst.app>) command
 line tool. Automatically falls back to rendering via embedded 'Typst' from
 'Quarto' (<https://quarto.org>) if 'Typst' is not installed. Includes
 utilities to check for 'typst-cli' availability and run 'Typst' commands.

Package: r-cran-tzupdater
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-tzupdater_0.1.5-1.ca2004.1_all.deb
Size: 28688
MD5sum: aa6f45714f25ce44e4815163ec91a006
SHA1: 811edb47b23cc9527c3657c6e3dcf0db45b410c3
SHA256: 0797cad5097fe7df041d2fa299a97c5447052478cd689083891baee396214c43
SHA512: 959c31b7f8cd2199fb7db2da7f2c6d09f301ddc9f2051b44b1791c17b687cd2d1eb2ddfd46f5a8a38f480e1e652913b8b603b1e661e936ea2745586c9082badb
Homepage: https://cran.r-project.org/package=tzupdater
Description: CRAN Package 'tzupdater' (Time Zone Database Updater)
 Download and compile any version of the IANA Time Zone Database (also known
 as Olson database) and make it current in your R session.  Beware: on
 Windows 'Cygwin' is required!

Package: r-cran-u5mr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lifecycle
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-u5mr_0.1.1-1.ca2004.1_all.deb
Size: 2451716
MD5sum: 57d4aa585654dac6fbdbf3ed246cb2c4
SHA1: 188152f1f99aa771413522770cf3c786748753ab
SHA256: 942efe4c66c2ec8757ca3a8a95d378a52ad36d1c5f3ed0cab82d6fa8826f6a29
SHA512: a68f46cdf2c61a68ab48f170becd39eccb930f6b2ecd31137fd3d853398e4242ada9ba6a326c9bd80869cc68d84b0318041e61695eb85b8ac79415c9c5a99d71
Homepage: https://cran.r-project.org/package=u5mr
Description: CRAN Package 'u5mr' (Under-Five Child Mortality Estimation)
 Contains functions for calculating under-five child mortality estimates
 using the Trussell version of the Brass method (United Nations (1990)
 <https://www.un.org/en/development/desa/population/publications/pdf/mortality/stepguide_childmort.pdf>
 and United Nations (1983)
 <https://www.un.org/en/development/desa/population/publications/pdf/mortality/stepguide_childmort.pdf>)
 as well as applying the cohort-derived methods by Rajaratnam and colleagues
 (Rajaratnam JK, Tran LN, Lopez AD, Murray CJL (2010) "Measuring Under-Five
 Mortality: Validation of New Low-Cost Methods"
 <doi:10.1371/journal.pmed.1000253>).

Package: r-cran-uahdatascienceo
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-uahdatascienceo_1.0.0-1.ca2004.1_all.deb
Size: 127440
MD5sum: e8bd7b9d99c88b78e6938a3adef79b17
SHA1: 304ba4c6333adddda7c472d675155412038c3eb3
SHA256: 2290f8589015b85dc0930091f415c5b4e10eafb4008fccf4273a6c6d23a76792
SHA512: 91bf144b7c6e94e06a96a0dda248f5ab92f65048030607e408ae3179b88d57cae517b7dbbc130fef854d8d2b74fbe318c9bc23205288a11a62debbe42b028791
Homepage: https://cran.r-project.org/package=UAHDataScienceO
Description: CRAN Package 'UAHDataScienceO' (Educational Outlier Detection Algorithms with Step-by-StepTutorials)
 Provides implementations of some of the most important outlier detection
 algorithms.  Includes a tutorial mode option that shows a description of
 each algorithm and provides a step-by-step execution explanation of how it
 identifies outliers from the given data with the specified input parameters.
 References include the works of Azzedine Boukerche, Lining Zheng, and Omar
 Alfandi (2020) <doi:10.1145/3381028>, Abir Smiti (2020)
 <doi:10.1016/j.cosrev.2020.100306>, and Xiaogang Su, Chih-Ling Tsai (2011)
 <doi:10.1002/widm.19>.

Package: r-cran-uahdatasciencesc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 272
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-uahdatasciencesc_1.0.0-1.ca2004.1_all.deb
Size: 116280
MD5sum: b683239b51ea107feef66e83c454c6ab
SHA1: ad11782366d3581082363d90e764d44d5a684163
SHA256: 9a402009d2b07618a81b40583dfee710654f3fe44c3ee00975c464a77dde72a2
SHA512: e18d291516be4668c254b2fc260f90b3e12842b513bb9e43a8f5ec90ef702fd55782d6d2543899077ec2f448783e770cbe7d5ec7069fcf2551be93aa2311a646
Homepage: https://cran.r-project.org/package=UAHDataScienceSC
Description: CRAN Package 'UAHDataScienceSC' (Learn Supervised Classification Methods Through Examples andCode)
 Supervised classification methods, which (if asked) can provide step-by-step
 explanations of the algorithms used, as described in PK Josephine et. al.,
 (2021) <doi:10.59176/kjcs.v1i1.1259>; and datasets to test them on, which
 highlight the strengths and weaknesses of each technique.

Package: r-cran-uahdatascienceuc
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 357
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-proxy, r-cran-cli
Suggests: r-cran-deldir, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-uahdatascienceuc_1.0.1-1.ca2004.1_all.deb
Size: 218568
MD5sum: 5d40f971450080a606e16c27a4fef170
SHA1: 6169d87fd7b1fa88e37ac957b2c0bfc8383a1092
SHA256: a1155a942f0e6154704a96dc10572a8dc7e66261d7aa93bbc1415cfc33fd2c23
SHA512: 2fb666d2572f7ff71bbad11d2575d9f395387264aa89bc826e0a25e304c642ce3f5009415fbdfbf58f1daa2fd1268f540f38ddbc21ad31e8df41e8d1075a487e
Homepage: https://cran.r-project.org/package=UAHDataScienceUC
Description: CRAN Package 'UAHDataScienceUC' (Learn Clustering Techniques Through Examples and Code)
 A comprehensive educational package combining clustering algorithms with
 detailed step-by-step explanations. Provides implementations of both
 traditional (hierarchical, k-means) and modern (Density-Based Spatial
 Clustering of Applications with Noise (DBSCAN), Gaussian Mixture Models
 (GMM), genetic k-means) clustering methods as described in Ezugwu et. al.,
 (2022) <doi:10.1016/j.engappai.2022.104743>.  Includes educational datasets
 highlighting different clustering challenges, based on 'scikit-learn'
 examples (Pedregosa et al., 2011)
 <https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>. Features detailed
 algorithm explanations, visualizations, and weighted distance calculations
 for enhanced learning.

Package: r-cran-uaparserjs
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-progress, r-cran-v8
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-uaparserjs_0.3.5-1.ca2004.1_all.deb
Size: 117252
MD5sum: 7b32fff6d89676220bbf75a9bdd3bdb8
SHA1: 7a7d473a024b4b4e223d39a95e8c41b32325d64f
SHA256: a6121897ae0c88f19a44d56bdc37b3354d25b3a7fac35c53defc8ada417402b7
SHA512: 17ffff845aa7f56f4197a522e4f083ecbdcbd1c47a0d802b5c0736a8f76c0b5d9a77ca1330611b6becbc45fb0aca4c1661204edde562669e251e8a5594bede44
Homepage: https://cran.r-project.org/package=uaparserjs
Description: CRAN Package 'uaparserjs' (Parse 'User-Agent' Strings)
 Despite there being a section in RFC 7231
 <https://tools.ietf.org/html/rfc7231#section-5.5.3> defining a suggested
 structure for 'User-Agent' headers this data is notoriously difficult to
 parse consistently. Tools are provided that will take in user agent strings
 and return structured R objects. This is a 'V8'-backed package based on the
 'ua-parser' project <https://github.com/ua-parser>.

Package: r-cran-uavrmp
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2611
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sp, r-cran-sf, r-cran-geosphere, r-cran-log4r, r-cran-zoo, r-cran-brew, r-cran-exifr, r-cran-link2gi, r-cran-data.table, r-cran-jsonlite, r-cran-rlist, r-cran-xfun, r-cran-terra, r-cran-concaveman, r-cran-dplyr, r-cran-spatialeco
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-mapview, r-cran-stringr, r-cran-htmltools, r-cran-htmlwidgets
Filename: pool/dists/focal/main/r-cran-uavrmp_0.7-1.ca2004.1_all.deb
Size: 1047980
MD5sum: 08be7ff20b778d9df335d034ec4bc84b
SHA1: 97b1baf0b52d6a6210e695826af9d44f9e389dc0
SHA256: 97d8a2bc0ac1780e675c262c41d7d13179088e638b1973fd9d309e6232c7e84a
SHA512: 1701acc11ff58532f25cdf22efeb4ebf67d274de9c7757611930fb2847719ff6142a091cd45a1daca334274b1b9e9f58244e31ce94caba8ab233fb90085be81f
Homepage: https://cran.r-project.org/package=uavRmp
Description: CRAN Package 'uavRmp' (UAV Mission Planner)
 The Unmanned Aerial Vehicle Mission Planner provides an easy to use work
 flow for planning autonomous obstacle avoiding surveys of ready to fly
 unmanned aerial vehicles to retrieve aerial or spot related data. It creates
 either intermediate flight control files for the DJI-Litchi supported series
 or ready to upload control files for the pixhawk-based flight controller.
 Additionally it contains some useful tools for digitizing and data
 manipulation.

Package: r-cran-ubair
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3480
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-forecast, r-cran-lubridate, r-cran-tidyr, r-cran-yaml, r-cran-ranger, r-cran-lightgbm
Suggests: r-cran-testthat, r-cran-deepnet, r-cran-fastshap, r-cran-treeshap, r-cran-shapviz, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ubair_1.1.0-1.ca2004.1_all.deb
Size: 3340248
MD5sum: 979347a6d7ecf12f0c9399a5b788215b
SHA1: cfa5e3205947058c33c17df5bd9d248c7e124ce2
SHA256: 45b13662e6279d59d3121435de9b13a22f1b4e60ed885080031e20a020efb513
SHA512: 170e8713680f6ec5e50865976cd0714c90e05516ff1ef6629fe2ab08245c56a2b58d47fac4c41aa4cc6acc2e6d4e677d7e1540be906991e8272517989ba66f32
Homepage: https://cran.r-project.org/package=ubair
Description: CRAN Package 'ubair' (Effects of External Conditions on Air Quality)
 Analyzes the impact of external conditions on air quality using
 counterfactual approaches, featuring methods for data preparation, modeling,
 and visualization.

Package: r-cran-ubayfs
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1139
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dirichletreg, r-cran-ga, r-cran-ggplot2, r-cran-gridextra, r-cran-hyper2, r-cran-matrixstats, r-cran-mrmre, r-cran-rdimtools, r-cran-shiny
Suggests: r-cran-caret, r-cran-dplyr, r-cran-dt, r-cran-glmnet, r-cran-gselection, r-cran-knitr, r-cran-plyr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rpart, r-cran-shinyalert, r-cran-shinybs, r-cran-shinyjs, r-cran-shinywidgets, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ubayfs_1.0-1.ca2004.1_all.deb
Size: 562228
MD5sum: e200c71453922ceaf8b0a28e5c319008
SHA1: 1f488787c3142b7d07a8c1c3b60d5ee2a4276f6d
SHA256: 1b04e68833202efd539a915844ca0e0f5e61b00e7833051a98a124e963208e5b
SHA512: 6109cd9b501782cd52313c6bc73a6789a32072a3d41137169e24a5727465a3094252bc513a3f66dff4f7c75151d476e3f4891993f7aa25ffa11bd48a31ad49ff
Homepage: https://cran.r-project.org/package=UBayFS
Description: CRAN Package 'UBayFS' (A User-Guided Bayesian Framework for Ensemble Feature Selection)
 The framework proposed in Jenul et al., (2022)
 <doi:10.1007/s10994-022-06221-9>, together with an interactive Shiny
 dashboard. 'UBayFS' is an ensemble feature selection technique embedded in a
 Bayesian statistical framework. The method combines data and user knowledge,
 where the first is extracted via data-driven ensemble feature selection. The
 user can control the feature selection by assigning prior weights to
 features and penalizing specific feature combinations. 'UBayFS' can be used
 for common feature selection as well as block feature selection.

Package: r-cran-ubcrm
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ubcrm_1.0.3-1.ca2004.1_all.deb
Size: 74360
MD5sum: 252cedf60c63338979ebb22e03f11f57
SHA1: ed5a50d581a5e582b2cd9aa154f095ec2a05bd47
SHA256: e60f068ca23165e2f4ffc089fedf7085dba12c3664f374a3891155290d457196
SHA512: 9673f70315fd0f77a013e1a886a3b4414f4f83aef86a753f9ea3e8fa17fa99ffee851c426f59692fb80447676971df128154f4f1e0825622743fb0c1c750aabc
Homepage: https://cran.r-project.org/package=UBCRM
Description: CRAN Package 'UBCRM' (Simulate and Conduct Dose-Escalation Phase I Studies)
 Two Phase I designs are implemented in the package: the classical 3+3 and
 the Continual Reassessment Method (<doi:10.2307/2531628>). Simulations tools
 are also available to estimate the operating characteristics of the methods
 with several user-dependent options.

Package: r-cran-ubiquity
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-desolve, r-cran-dplyr, r-cran-digest, r-cran-doparallel, r-cran-flextable, r-cran-foreach, r-cran-ggplot2, r-cran-knitr, r-cran-mass, r-cran-onbrand, r-cran-optimx, r-cran-pknca, r-cran-pso, r-cran-readxl, r-cran-rmarkdown, r-cran-rhandsontable, r-cran-scales, r-cran-stringr, r-cran-shiny
Suggests: r-cran-babelmixr2, r-cran-ga, r-cran-ggally, r-cran-gridgraphics, r-cran-gridextra, r-cran-officer, r-cran-rxode2, r-cran-webshot, r-cran-ggrepel, r-cran-rstudioapi, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ubiquity_2.1.0-1.ca2004.1_all.deb
Size: 2463808
MD5sum: 31531a406db00e2d7dd8ba33dbaa591b
SHA1: 34e7ed5c3da4e186afa1dd2d6251fa1329cabc05
SHA256: 97f6be9d2374b56d6ba15681ed1e895b88515b08c3e0540eb16d5f26350f4424
SHA512: a023be1c30bbf1a68134710dd3f45c88ea3d5cefe2d8cede64a36ec14ed525386ef656520d54a9198c6b5a84dcdc907bd08033a04adfa70c3026fce11d1adb80
Homepage: https://cran.r-project.org/package=ubiquity
Description: CRAN Package 'ubiquity' (PKPD, PBPK, and Systems Pharmacology Modeling Tools)
 Complete work flow for the analysis of pharmacokinetic pharmacodynamic
 (PKPD), physiologically-based pharmacokinetic (PBPK) and systems
 pharmacology models including: creation of ordinary differential
 equation-based models, pooled parameter estimation, individual/population
 based simulations, rule-based simulations for clinical trial design and
 modeling assays, deployment with a customizable 'Shiny' app, and
 non-compartmental analysis. System-specific analysis templates can be
 generated and each element includes integrated reporting with 'PowerPoint'
 and 'Word'.

Package: r-cran-ubstats
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 583
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ubstats_0.2.2-1.ca2004.1_all.deb
Size: 558236
MD5sum: ff139c7f3ebf5dc2016f653dba745218
SHA1: df34090c9f504f2d3ca9bd25991a2f29c31a2a21
SHA256: bf4b828038a7fe267adb280eda432625f1ebd19e8a905338ea8ec2613691719e
SHA512: 24a61eb0046ae4d5e1fd2d10791def6f0a19defd1a0acf8cf31d1851a9335f823f89bd0baadffde4080715e60b89837653c1ab137cc7c54325e973df4c6d22ca
Homepage: https://cran.r-project.org/package=UBStats
Description: CRAN Package 'UBStats' (Basic Statistics)
 Basic statistical analyses. The package has been developed to be used in
 statistics courses at Bocconi University (Milan, Italy).  Currently, the
 package includes some exploratory and inferential analyses usually presented
 in introductory statistics courses.

Package: r-cran-ucarechemsuitecli
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 731
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-chemminer, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-ucarechemsuitecli_0.2.0-1.ca2004.1_all.deb
Size: 109972
MD5sum: 22d9ad4a02d2ed82a6b14d57fb80e393
SHA1: 970b92411549a2f7949e8c8d57b83cb462ebab48
SHA256: 897b26568e6057506354478be5e59acefe53972a1ea0115b81598158c8fcad9e
SHA512: 4fb80b16a73d287bfeb9e98b720180f4ea3fee7b40a8f35ef0cd45938852e26e9020f520e99fb3bcd763973d78ae60a9b7793bb6507ef79e2fd7c1e114543802
Homepage: https://cran.r-project.org/package=uCAREChemSuiteCLI
Description: CRAN Package 'uCAREChemSuiteCLI' (Resistome Predicter)
 This suite of packages is developed to predicts resistome for unknown
 chemical compounds. It utilizes two algorithms viz. deterministic model and
 stochastic model (manuscript under preparation) for the prediction of drug
 class. Once the drug class is predicted, the resistome profile of
 Escherichia coli and Pseudomonas aeruginosa for the drug class is fetched
 from the database.

Package: r-cran-ucbthesis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1005
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-knitr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ucbthesis_1.0-1.ca2004.1_all.deb
Size: 324448
MD5sum: dc652a5d702d984bf0ede175439b372d
SHA1: 906246e0eddf783af1f39a6857ce41e2d586b69c
SHA256: bed0ea74a11a990ebaf4ac76f9b384266e1e794ea698ce2972789f6161bf4d63
SHA512: 22108d8f4f1639ea75748b35795d94b04ea8553f33f27086827cd7110765d792ccf77b1ce43dc431ca35d318445cb8011c81c7e401f086b1f98f915248cd5768
Homepage: https://cran.r-project.org/package=ucbthesis
Description: CRAN Package 'ucbthesis' (UC Berkeley graduate division thesis template)
 This package contains latex, knitr and R Markdown templates that adhere to
 the UC Berkeley Graduate Division's thesis guidelines. The templates are
 located in the inst/ directory.

Package: r-cran-uci
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 730
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-checkmate, r-cran-cpprouting, r-cran-data.table, r-cran-furrr, r-cran-future, r-cran-pbapply, r-cran-fields, r-cran-sf, r-cran-spdep
Suggests: r-cran-covr, r-cran-knitr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uci_0.3.0-1.ca2004.1_all.deb
Size: 652612
MD5sum: f2b8462bea84b1b2a837f7515503cd43
SHA1: 4277efcc86375f1640f2d678efd251fd2501e115
SHA256: d89680a7cfe882404cc1c7f6b464fc84d2e9b23643f017550a246aab2e69f65f
SHA512: 0740d5a1d748f1fd20f234f8a766827154ee05cbe929f625c712345aff481af078c7f51256447346d81c739e65fcd8a8a0c68f43ef844a16c3572957a7280075
Homepage: https://cran.r-project.org/package=uci
Description: CRAN Package 'uci' (Urban Centrality Index)
 Calculates the Urban Centrality Index (UCI) as in Pereira et al., (2013)
 <doi:10.1111/gean.12002>. The UCI measures the extent to which the spatial
 organization of a city or region varies from extreme polycentric to extreme
 monocentric in a continuous scale from 0 to 1. Values closer to 0 indicate
 more polycentric patterns and values closer to 1 indicate a more monocentric
 urban form.

Package: r-cran-ucie
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-geometry, r-cran-pracma, r-cran-ptinpoly, r-cran-rgl, r-cran-remotes
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ucie_1.0.2-1.ca2004.1_all.deb
Size: 33740
MD5sum: 183c15fe7c8c11920e89de3e4f152d0f
SHA1: ac3aa5629abb0fdedb188e21c334ca42db36b951
SHA256: 7b4dccd943744027b407d22dff690dac167ce8d1a9a020c9c99596f11d1c1abe
SHA512: 5965f5565f360bcea76552cdf61e092d923c3dbf6a3fdd0be58139ac42f675ba40cd7df18fc9ee2f2033cf03f952326bb4b3281c1667c7b2b581fd5c69cfebb6
Homepage: https://cran.r-project.org/package=ucie
Description: CRAN Package 'ucie' (Mapping 3D Data into CIELab Color Space)
 Returns a data frame with the names of the input data points and hex colors
 (or CIELab coordinates). Data can be mapped to colors for use in data
 visualization. It optimally maps data points into a polygon that represents
 the CIELab colour space. Since Euclidean distance approximates relative
 perceptual differences in CIELab color space, the result is a color encoding
 that aims to capture much of the structure of the original data.

Package: r-cran-ucimlrepo
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ucimlrepo_0.0.2-1.ca2004.1_all.deb
Size: 660880
MD5sum: 4115168c0aabbb67b13a8f729d513925
SHA1: 29e1701bbf13ecb4ededf13c476e5ac3268cb9d5
SHA256: a56be45c9cc4b921cc04bd1504e0c32eeee2664cc9eb9eda85baf99529362d6c
SHA512: 80d5cac13ab573eb41998015ed484708239cbde1f84dd43df429df39fec1e846fb4e8c4440f831c51fb58bcd045de9af8e4bed0b50c2333767b54f783c011697
Homepage: https://cran.r-project.org/package=ucimlrepo
Description: CRAN Package 'ucimlrepo' (Explore UCI ML Repository Datasets)
 Find and import datasets from the University of California Irvine Machine
 Learning (UCI ML) Repository into R.  Supports working with data from UCI ML
 repository inside of R scripts, notebooks, and 'Quarto'/'RMarkdown'
 documents. Access the UCI ML repository directly at
 <https://archive.ics.uci.edu/>.

Package: r-cran-uclust
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dendextend, r-cran-robcor
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uclust_1.0.0-1.ca2004.1_all.deb
Size: 160496
MD5sum: d5a17ec5ce553c73ab316505b90e5530
SHA1: d317b3afe6cad5a9fbce05d6b37b2eb140cc63f7
SHA256: 964720c7246ca44fcb153a660ed5522776de003dd73fffdf3d71d21b4d0c0271
SHA512: bd2fba0fda943c845385af404793e61b21e1087ee07bfa193e2f20d27155cbebf554e542fc32cf2ece0615d7d54fd6c9f18a48f8a083cfadf434369b07c57c60
Homepage: https://cran.r-project.org/package=uclust
Description: CRAN Package 'uclust' (Clustering and Classification Inference with U-Statistics)
 Clustering and classification inference for high dimension low sample size
 (HDLSS) data with U-statistics. The package contains implementations of
 nonparametric statistical tests for sample homogeneity, group separation,
 clustering, and classification of multivariate data. The methods have high
 statistical power and are tailored for data in which the dimension L is much
 larger than sample size n. See Gabriela B. Cybis, Marcio Valk and Sílvia RC
 Lopes (2018) <doi:10.1080/00949655.2017.1374387>, Marcio Valk and Gabriela
 B. Cybis (2020) <doi:10.1080/10618600.2020.1796398>, Debora Z. Bello, Marcio
 Valk and Gabriela B. Cybis (2021) <arXiv:2106.09115>.

Package: r-cran-ucr.columnnames
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ucr.columnnames_0.1.0-1.ca2004.1_all.deb
Size: 18220
MD5sum: 1f7c18d473dc1836833d9dd7c43112e5
SHA1: aa396c9e4fc4645b560c3152df28a378bb72b3b4
SHA256: 1ac9987ce8357c11e2d99ae5bff70581337a8c79f99dc11b7a932d85d12e2807
SHA512: 175574e5795468643e092e94dcd0b82d48530e17181cd9fdb1c2f87b777e097c6812d6bb98151f4d9e108306cd0ce3c7f762c34d6f5dfbfe8992d8882b3de62e
Homepage: https://cran.r-project.org/package=UCR.ColumnNames
Description: CRAN Package 'UCR.ColumnNames' (Fixes Column Names for Uniform Crime Report "Offenses Known andClearance by Arrest" Datasets)
 Changes the column names of the inputted dataset to the correct names from
 the Uniform Crime Report codebook for the "Offenses Known and Clearance by
 Arrest" datasets from 1998-2014.

Package: r-cran-ucscxenashiny
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7809
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-ezcox, r-cran-forcats, r-cran-ggplot2, r-cran-ggpubr, r-cran-httr, r-cran-magrittr, r-cran-ppcor, r-cran-psych, r-cran-purrr, r-cran-rlang, r-cran-shiny, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-ucscxenatools
Suggests: r-cran-covr, r-cran-cowplot, r-cran-dt, r-cran-furrr, r-cran-future, r-cran-ggrepel, r-cran-ggstatsplot, r-cran-knitr, r-cran-pacman, r-cran-plotly, r-cran-plyr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-rtsne, r-cran-scales, r-cran-survival, r-cran-survminer, r-cran-testthat, r-cran-umap
Filename: pool/dists/focal/main/r-cran-ucscxenashiny_2.1.0-1.ca2004.1_all.deb
Size: 3262924
MD5sum: b8c829d1580906cae66179dc0d35a055
SHA1: 140eab511cb0dd6440c41d567002f2b3bc9a9a1d
SHA256: 3e20a37d445311a6e084672ccf37e288a0b2a9d021f85daee0ea8cc3faedf88c
SHA512: 43d4a09c8f0a5403b751e43e28da93970b4fc8960deebf47af229255b1eee5e820826e58506085f142a5c12ca04e4e7cdff39ca4ca4b8f60c3a4c69d7ba0b1cd
Homepage: https://cran.r-project.org/package=UCSCXenaShiny
Description: CRAN Package 'UCSCXenaShiny' (Interactive Analysis of UCSC Xena Data)
 Provides functions and a Shiny application for downloading, analyzing and
 visualizing datasets from UCSC Xena (<http://xena.ucsc.edu/>), which is a
 collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx,
 CCLE, and others.

Package: r-cran-ucscxenatools
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 844
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-digest, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-readr, r-cran-rlang
Suggests: r-cran-covr, r-cran-dt, r-cran-knitr, r-cran-prettydoc, r-cran-rmarkdown, r-cran-shiny, r-cran-shinydashboard, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ucscxenatools_1.4.8-1.ca2004.1_all.deb
Size: 673224
MD5sum: 56f8e3b0cdd8591489fe4e5b32695b0a
SHA1: 178f4fcd33ed7ac880cc6829dd11e6ace1eab7a9
SHA256: 199dd6baf6aaba0be57c9c94a61a5a01232676b6583b9ec18550554050201b93
SHA512: 45e102b8ebaf86b85d5cdbe50ca8b02599d6373c4a6cd891f25f5049944c45dced3d90777cc1ce76de7eaf9e14eb2e4bc72ba535d427c4fc6ad6c7a79d2171fe
Homepage: https://cran.r-project.org/package=UCSCXenaTools
Description: CRAN Package 'UCSCXenaTools' (Download and Explore Datasets from UCSC Xena Data Hubs)
 Download and explore datasets from UCSC Xena data hubs, which are a
 collection of UCSC-hosted public databases such as TCGA, ICGC, TARGET, GTEx,
 CCLE, and others.  Databases are normalized so they can be combined, linked,
 filtered, explored and downloaded.

Package: r-cran-ucsfindustrydocs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-dplyr, r-cran-r6, r-cran-stringr
Suggests: r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ucsfindustrydocs_0.1.0-1.ca2004.1_all.deb
Size: 64940
MD5sum: 6ab226766fbd870cd6711ec4eb0d9c6f
SHA1: 4a187a0bc6f16c97be2a9a86396cd0715c39df56
SHA256: 4167f87c1cc43e0c33009fca629aa59c9658c2a8e4ea589e6307c5d4555eef17
SHA512: 2c4437332b528971bed4552b9251da86871d2b2f2333375d6ec94a377b2188dd8fd1f7a298c414c2fb07249515a04326d12f42379b714a8c10b237dc90dc9d3a
Homepage: https://cran.r-project.org/package=ucsfindustrydocs
Description: CRAN Package 'ucsfindustrydocs' (UCSF Industry Documents Library API Wrapper)
 Serves as a R wrapper for the University of California San Francisco's
 [Industry Documents Digital
 Library]<https://www.industrydocuments.ucsf.edu/> API. The API, and this
 wrapper, serve to pull metadata about of items within the digital library.
 For more information the API, see the [API's
 documentation]<https://www.industrydocuments.ucsf.edu/wp-content/uploads/2020/08/IndustryDocumentsDataAPI_v7.pdf>.

Package: r-cran-udapi
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-curl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-udapi_0.1.3-1.ca2004.1_all.deb
Size: 15864
MD5sum: b3f2c78130e1b7f7c47306e6febc8e83
SHA1: 6120cfb18518146e4f3bd1a6509329c0c4f214bb
SHA256: 715c5f5777f3410659435ab6cde7bdb233e9f2847704c8da57aef34c523c027b
SHA512: bafd14da894350c0ea7da8306da6a38fe60d942ba78dcdd730901c11d44aad54719e6e1d74f990861fc311bf4d868159ad2f2c012e2c471352f2f38860a53b4b
Homepage: https://cran.r-project.org/package=udapi
Description: CRAN Package 'udapi' (Urban Dictionary API Client)
 A client for the Urban Dictionary <http://www.urbandictionary.com/> API.

Package: r-cran-udderquarterinfectiondata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-udderquarterinfectiondata_1.0.0-1.ca2004.1_all.deb
Size: 40032
MD5sum: 652a3e9159dab2f915ecd55885ad6ea7
SHA1: dc95a68a36f55939cfb4172ea26f6df56c8d84ad
SHA256: 79dbc17ee7cbea5385ab9aca84b031b8fcba0dccde50cfcf0a946a74b647fa0c
SHA512: 58299ef0ddec62ee89bd55d17badf45f14ab01abb1d0db9c15b44c63567bc299e2d542f682aa3ea7d55939af4858c00767f602d70d4c914c2e0d45aaf2fe2e32
Homepage: https://cran.r-project.org/package=UdderQuarterInfectionData
Description: CRAN Package 'UdderQuarterInfectionData' (Udder Quarter Infection Data)
 The udder quarter infection data set contains infection times of individual
 cow udder quarters with Corynebacterium bovis (Laevens et al. 1997
 <DOI:10.3168/jds.S0022-0302(97)76295-7>). Obviously, the four udder quarters
 are clustered within a cow, and udder quarters are sampled only
 approximately monthly, generating interval-censored data. The data set
 contains both covariates that change within a cow (e.g., front and rear
 udder quarters) and covariates that change between cows (e.g., parity [the
 number of previous calvings]). The correlation between udder infection times
 within a cow also is of interest, because this is a measure of the
 infectivity of the agent causing the disease. Various models have been
 applied to address the problem of interdependence for right-censored event
 times. These models, as applied to this data set, can be found back in the
 publications found in the reference list.

Package: r-cran-uei
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-factoextra, r-cran-metrics
Filename: pool/dists/focal/main/r-cran-uei_0.1.0-1.ca2004.1_all.deb
Size: 14364
MD5sum: 75ddeb4b0a1d53cdb02661a3ac5979a8
SHA1: 0daba795fdae7108e3779c973f2a2d988cac8323
SHA256: eaef68b1af7a9815e8c6154688c6f140a19eedcaa1047d0d289a44c3caa4cc0b
SHA512: 8e029a5c998faf16d3dbc14bd4072aa188b5144aec4ed3a4625c32bc56482760056b4d90d2a5f67edb5af41487cf0174173e66f9f44a263adab566be1ef7cd4e
Homepage: https://cran.r-project.org/package=UEI
Description: CRAN Package 'UEI' (Compute Uniform Error Index)
 Uniform Error Index is the weighted average of different error measures.
 Uniform Error Index utilizes output from different error function and gives
 more robust and stable error values. This package has been developed to
 compute Uniform Error Index from ten different loss function like Error
 Square, Square of Square Error, Quasi Likelihood Error, LogR-Square,
 Absolute Error, Absolute Square Error etc. The weights are determined using
 Principal Component Analysis (PCA) algorithm of Yeasin and Paul (2024)
 <doi:10.1007/s11227-023-05542-3>.

Package: r-cran-ufrisk
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 478
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-esemifar, r-cran-fracdiff, r-cran-rugarch, r-cran-smoots
Filename: pool/dists/focal/main/r-cran-ufrisk_1.0.7-1.ca2004.1_all.deb
Size: 429972
MD5sum: 14254cc4d7ee01567e9218823ddc56c8
SHA1: 49c4476c4de60554e8a25a410bc27025467a13cc
SHA256: ba8830b298d6098f3a1166ed35b7cf0762d168fd9601f878c2ca3cbbb5971b40
SHA512: 0f85dbcb33c8c23950a0722aa49e0f80dd9cb8ad84fcea71544553139ea77a74debf8ab8f9d2157f4b184f3d853efb7a6aafce2ab88958bc1c009394a66cf225
Homepage: https://cran.r-project.org/package=ufRisk
Description: CRAN Package 'ufRisk' (Risk Measure Calculation in Financial TS)
 Enables the user to calculate Value at Risk (VaR) and Expected Shortfall
 (ES) by means of various parametric and semiparametric GARCH-type models.
 For the latter the estimation of the nonparametric scale function is carried
 out by means of a data-driven smoothing approach. Model quality, in terms of
 forecasting VaR and ES, can be assessed by means of various backtesting
 methods such as the traffic light test for VaR and a newly developed traffic
 light test for ES. The approaches implemented in this package are described
 in e.g. Feng Y., Beran J., Letmathe S. and Ghosh S. (2020)
 <https://ideas.repec.org/p/pdn/ciepap/137.html> as well as Letmathe S., Feng
 Y. and Uhde A. (2021) <https://ideas.repec.org/p/pdn/ciepap/141.html>.

Package: r-cran-ufs
Architecture: all
Version: 0.5.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1064
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-digest, r-cran-diptest, r-cran-dplyr, r-cran-gparotation, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggridges, r-cran-gridextra, r-cran-gtable, r-cran-htmltools, r-cran-kableextra, r-cran-knitr, r-cran-pander, r-cran-plyr, r-cran-pwr, r-cran-rmdpartials, r-cran-scales, r-cran-suppdists
Suggests: r-cran-bootes, r-cran-car, r-cran-careless, r-cran-ggally, r-cran-jmvcore, r-cran-lavaan, r-cran-mass, r-cran-mbess, r-cran-psych, r-cran-rio, r-cran-remotes, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-ufs_0.5.12-1.ca2004.1_all.deb
Size: 949952
MD5sum: a3b8f2941faef75829128eddfd3f9a04
SHA1: adffec9e50b3f12c7ac48e71384092e07c774f65
SHA256: d20d310951849f7fca0587763eea750cf7ac34bd7c8b33281003cf98cecaac0d
SHA512: 3f0d9643e76bad5dcb3659216f2729cc42a03dea776da9d86249e7c087453f82a34dc2296797e534de10c78597478b1920c77828451ad2bc53fb0a2792c28fd6
Homepage: https://cran.r-project.org/package=ufs
Description: CRAN Package 'ufs' (A Collection of Utilities)
 This is a new version of the 'userfriendlyscience' package, which has grown
 a bit unwieldy. Therefore, distinct functionalities are being 'consciously
 uncoupled' into different packages. This package contains the
 general-purpose tools and utilities (see the 'behaviorchange' package, the
 'rosetta' package, and the soon-to-be-released 'scd' package for other
 functionality), and is the most direct 'successor' of the original
 'userfriendlyscience' package.  For example, this package contains a number
 of basic functions to create higher level plots, such as diamond plots, to
 easily plot sampling distributions, to generate confidence intervals, to
 plan study sample sizes for confidence intervals, and to do some basic
 operations such as (dis)attenuate effect size estimates.

Package: r-cran-ugatsdb
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dbi, r-cran-rmysql, r-cran-data.table, r-cran-collapse, r-cran-writexl
Suggests: r-cran-magrittr, r-cran-xts, r-cran-dygraphs
Filename: pool/dists/focal/main/r-cran-ugatsdb_0.2.3-1.ca2004.1_all.deb
Size: 69764
MD5sum: d5b4fea28b157664fae3af7e783f4d51
SHA1: 2bab9b5c64613d14084797f55df6a9e16b492eeb
SHA256: f8d50306a051755d09cced20afb320c60b3ecf142dea9c258423376038333f34
SHA512: 6551838f8258bcad3fc436a2cca0348b16f5e3709055bdc8ce44ae61fea638e09c38553d1458e682fa8f28003f11506c061b689201b0d038a175f4a3c6edbb31
Homepage: https://cran.r-project.org/package=ugatsdb
Description: CRAN Package 'ugatsdb' (Uganda Time Series Database API)
 An R API providing easy access to a relational database with macroeconomic,
 financial and development related time series data for Uganda.  Overall more
 than 5000 series at varying frequency (daily, monthly, quarterly, annual in
 fiscal or calendar years) can be accessed through the API. The data is
 provided by the Bank of Uganda, the Ugandan Ministry of Finance, Planning
 and Economic Development, the IMF and the World Bank. The database is being
 updated once a month.

Package: r-cran-ugmar
Architecture: all
Version: 3.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1264
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-brobdingnag, r-cran-pbapply, r-cran-gsl
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ugmar_3.6.0-1.ca2004.1_all.deb
Size: 1103168
MD5sum: 1eff33a9c91042222dc3aad5a7643f14
SHA1: 082316020cc639f715f08ed51e58d52b4a069805
SHA256: 68eb0526247dafcc7470845116f33d509fc2c4c340caa11b53c542036bcddeb6
SHA512: 726b276bde4311e0982ffdd7cea7c00efa23ca55bf2fb8656c272cf799c7670bf48f28806f59fbdf37f4036ea03670c0bd27c40885e025151a27eb2038c741d6
Homepage: https://cran.r-project.org/package=uGMAR
Description: CRAN Package 'uGMAR' (Estimate Univariate Gaussian and Student's t MixtureAutoregressive Models)
 Maximum likelihood estimation of univariate Gaussian Mixture Autoregressive
 (GMAR), Student's t Mixture Autoregressive (StMAR), and Gaussian and
 Student's t Mixture Autoregressive (G-StMAR) models, quantile residual
 tests, graphical diagnostics, forecast and simulate from GMAR, StMAR and
 G-StMAR processes.  Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2015)
 <doi:10.1111/jtsa.12108>, Mika Meitz, Daniel Preve, Pentti Saikkonen (2023)
 <doi:10.1080/03610926.2021.1916531>, Savi Virolainen (2022)
 <doi:10.1515/snde-2020-0060>.

Package: r-cran-uhm
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jagsui, r-cran-numbers
Filename: pool/dists/focal/main/r-cran-uhm_0.3.0-1.ca2004.1_all.deb
Size: 85040
MD5sum: 7fe2f8f3eaa8e89b79665b1e59f8ce4e
SHA1: 66ae5f217ae3d2b6af6a8f1cd6666f7a86e8d0cb
SHA256: 029096df20c09d13205c5a6b16a98156f8dfa7b3dd8da63c3e9c90ae5280f7a1
SHA512: 69383c0085bfd46bc977b7584885ec216d35eafd7a9faf944ac255c18cf93b33bca1d2e5160d3b3110d31421da27074c4bba0dfa473a64f2d95c7bba2ce1d195
Homepage: https://cran.r-project.org/package=UHM
Description: CRAN Package 'UHM' (Unified Zero-Inflated Hurdle Regression Models)
 Run a Gibbs sampler for hurdle models to analyze data showing an excess of
 zeros, which is common in zero-inflated count and semi-continuous models.
 The package includes the hurdle model under Gaussian, Gamma, inverse
 Gaussian, Weibull, Exponential, Beta, Poisson, negative binomial,
 logarithmic, Bell, generalized Poisson, and binomial distributional
 assumptions. The models described in Ganjali et al. (2024).

Package: r-cran-uhmm
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3462
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tcltk2, r-cran-tkrplot, r-cran-hmm, r-cran-clvalid, r-cran-class, r-cran-cluster, r-cran-factominer, r-cran-corrplot, r-cran-chron
Filename: pool/dists/focal/main/r-cran-uhmm_1.0-1.ca2004.1_all.deb
Size: 3447932
MD5sum: 0ad79a84233b261e2d05295186ed2092
SHA1: aa6817d3a970f0960ae09cc21ca837272eb9f8a2
SHA256: 4a75bdcf4d4e34b5348adc1a8d373e4364283b4f6547019d63bd3f82fb73f31f
SHA512: a8df2336b30c0a62eb698139cd2cd9cef17b1d1d3f8205585be8e5c5e250678051d5d49af8aedf4631285ff9cb08c9ab0d3790e39d1aa85caa1e6c39ec926bd8
Homepage: https://cran.r-project.org/package=uHMM
Description: CRAN Package 'uHMM' (Construct an Unsupervised Hidden Markov Model)
 Construct a Hidden Markov Model with states learnt by unsupervised
 classification.

Package: r-cran-ui
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-maxlik, r-cran-mvtnorm, r-cran-numderiv
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-ui_0.1.1-1.ca2004.1_all.deb
Size: 143644
MD5sum: 3746b8626f3e8fab0e5d308db95f8932
SHA1: 1f604a5aec5028131b66fb67c0b68b68be6430d1
SHA256: 3e5f0a42682328822a814068e3c4307f9cab2f10daffbad4c5f3a181f7132be4
SHA512: a2bc9e319681fbf646244092a6050f26d9dff1ca39328ee03f1f1a5e6eea957da623533eec10e5d7ba8807d7738f9a49e39dd8505673cfaa5f2a640e41a3d71a
Homepage: https://cran.r-project.org/package=ui
Description: CRAN Package 'ui' (Uncertainty Intervals and Sensitivity Analysis for Missing Data)
 Implements functions to derive uncertainty intervals for (i) regression
 (linear and probit) parameters when outcome is missing not at random
 (non-ignorable missingness) introduced in Genbaeck, M., Stanghellini, E., de
 Luna, X. (2015) <doi:10.1007/s00362-014-0610-x> and Genbaeck, M., Ng, N.,
 Stanghellini, E., de Luna, X. (2018) <doi:10.1007/s10433-017-0448-x>; and
 (ii) double robust and outcome regression estimators of average causal
 effects (on the treated) with possibly unobserved confounding introduced in
 Genbaeck, M., de Luna, X. (2018) <doi:10.1111/biom.13001>.

Package: r-cran-uisapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-jsonlite, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-curl, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uisapi_0.1.0-1.ca2004.1_all.deb
Size: 38636
MD5sum: aab6b0f5c56c390b3b3ac0eb08776cd2
SHA1: cff02e6700a47f4137aebe3c0517f7548f7b48b3
SHA256: 9ddf468845eba340483709387f45c9236b248b091d3b9526ffc8bdcfd9b3996c
SHA512: 65123aa4c9e8ca523b5f02adcfc057ea1ef904b535763a84ebf86c221245ff12381039b180b9123099dfcc0f3c3116dcc1804786a61f2b2a67916f436bf561f5
Homepage: https://cran.r-project.org/package=uisapi
Description: CRAN Package 'uisapi' (Access the UNESCO Institute for Statistics API)
 Retrieve data from the UNESCO Institute for Statistics (UIS) API
 <https://api.uis.unesco.org/api/public/documentation/>. UIS provides public
 access to more than 4,000 indicators focusing on education, science and
 technology, culture, and communication.

Package: r-cran-uiucthemes
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2457
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rmarkdown, r-cran-xaringan
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-uiucthemes_0.3.3-1.ca2004.1_all.deb
Size: 1369244
MD5sum: c51bf332513cf8d3ced65ed3da0f65e7
SHA1: a9ed0797fedbca7e2b2af143914cad793c4880ae
SHA256: a272485986eb088aef9bcb0987829f9183f8b498c517b4bdd1d4b244cabc507f
SHA512: 973b0edb26ba8fc2d5f258cbcb403750068d1001de075025072d5e74724d67004cf31afb12e823c466a7e56552ae9fc0c2631406072f6392a3ada44fc186b7d9
Homepage: https://cran.r-project.org/package=uiucthemes
Description: CRAN Package 'uiucthemes' ('R' 'Markdown' Themes for 'UIUC' Documents and Presentations)
 A set of custom 'R' 'Markdown' templates for documents and presentations
 with the University of Illinois at Urbana-Champaign (UIUC) color scheme and
 identity standards.

Package: r-cran-uk2us
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-uk2us_0.1.0-1.ca2004.1_all.deb
Size: 26048
MD5sum: aeb61ae2fe22b7526016bf8b68880c08
SHA1: ad22f1f96f7a7d95f2b40e6a865fec8b94510ca1
SHA256: 907326cc3ca6ab32fa0f3e5abda2a6e498a9dc1c777d081ae30571bd00e95b98
SHA512: 3537b551d4c6ab6c896f1560450dbb440c0e8914933b2d58c4eb24103ab10aa55cba964f630302a9204f44ef0c47475ba91c9a8de0e43df7afe6dcc952628ba7
Homepage: https://cran.r-project.org/package=uk2us
Description: CRAN Package 'uk2us' (Convert Words Between UK and US English)
 Functions for converting between UK and US spellings of English words.

Package: r-cran-ukb.covid19
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4240
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-questionr, r-cran-data.table, r-cran-tidyverse, r-cran-magrittr, r-cran-here, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ukb.covid19_0.1.6-1.ca2004.1_all.deb
Size: 2060260
MD5sum: d4ad52f31d3a5bc50db83e931a774ef2
SHA1: 5739fd7b0def6ce993ca856d3aa49b4ea92e21a8
SHA256: 69ace1594efb1872220110ceca9ad99a3a95b7308a83579ae6b12ba10436642f
SHA512: ef182ebfa028d0799a957532cd26bbcfec94128141d9c2a70a70838b7165586a72cb6028ee6556dc17bac1797e9044659fea928a132da6b6cd527b8f3531f754
Homepage: https://cran.r-project.org/package=UKB.COVID19
Description: CRAN Package 'UKB.COVID19' (UK Biobank COVID-19 Data Processing and Risk Factor AssociationTests)
 Process UK Biobank COVID-19 test result data for susceptibility, severity
 and mortality analyses, perform potential non-genetic COVID-19 risk factor
 and co-morbidity association tests. Wang et al. (2021)
 <doi:10.5281/zenodo.5174381>.

Package: r-cran-ukbabynames
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2981
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-dplyr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-ukbabynames_0.3.0-1.ca2004.1_all.deb
Size: 3014772
MD5sum: ecea5b5cf35a3f4457287cacf48215b6
SHA1: 85609d5c57356789d238d15c8fc1d8e2af02ab9d
SHA256: a8fc9471b58e23ee93691aae1ef45a4694cab68fa33ad6784610e01b75aa85d3
SHA512: eb0aceb3384a20654bc647df503f97e1b6a876a56b97ec80528d96d389a88a4ac864e7b752d9bf11aec9e686caba79c8de87263247f4a109dbbaa438d866ed7d
Homepage: https://cran.r-project.org/package=ukbabynames
Description: CRAN Package 'ukbabynames' (UK Baby Names Data)
 Full listing of UK baby names occurring more than three times per year
 between 1974 and 2020, and rankings of baby name popularity by decade from
 1904 to 1994.

Package: r-cran-ukbnmr
Architecture: all
Version: 3.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2905
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-bit64, r-cran-lubridate, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-ukbnmr_3.2.0-1.ca2004.1_all.deb
Size: 2103060
MD5sum: ea61fdb83711ea57633ad4d9770efa6d
SHA1: 8f67eb799bcbb808aa956f4c2b31dfca6fb3ae16
SHA256: ea825338dddbd8d9b70e31a2b979f034d24b0a9ed67defa389b192dde4bbe71d
SHA512: fe9e6a1f32e65f9a26f2375e60f3b4c042fd9c283bf5c30b97629b8ddd916a8155bed6ac9b1edf4bda5a2a0f0d0323d74b481cddaa432d44c1d9d0c15db823a4
Homepage: https://cran.r-project.org/package=ukbnmr
Description: CRAN Package 'ukbnmr' (Removal of Unwanted Technical Variation from UK Biobank NMRMetabolomics Biomarker Data)
 A suite of utilities for working with the UK Biobank
 <https://www.ukbiobank.ac.uk/> Nuclear Magnetic Resonance spectroscopy (NMR)
 metabolomics data <https://biobank.ndph.ox.ac.uk/showcase/label.cgi?id=220>.
 Includes functions for extracting biomarkers from decoded UK Biobank field
 data, removing unwanted technical variation from biomarker concentrations,
 computing an extended set of lipid, fatty acid, and cholesterol fractions,
 and for re-deriving composite biomarkers and ratios after adjusting data for
 unwanted biological variation. For further details on methods see Ritchie SC
 et al. Sci Data (2023) <doi:10.1038/s41597-023-01949-y>.

Package: r-cran-ukbtools
Architecture: all
Version: 0.11.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3774
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-ggplot2, r-cran-xml, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-scales, r-cran-stringr, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ukbtools_0.11.3-1.ca2004.1_all.deb
Size: 2121632
MD5sum: 096d1f4bb9881c56d41f1f84e48b47bb
SHA1: c0552b07e7596cbe5b00a50c8fa805e3ad785d4c
SHA256: db8335c241d54b5a51b633c58ff280f15c45954057d2853b31751e2bb074c6d9
SHA512: 1bd37d9f6d49e251a763a8377fde3d0f9ae827bc77efdbf9c37b8746d8ae5d5a59eb53a3b945bf2a5ec1f817d640c6ea52eb53f408f07276b390dac2f606a47f
Homepage: https://cran.r-project.org/package=ukbtools
Description: CRAN Package 'ukbtools' (Manipulate and Explore UK Biobank Data)
 A set of tools to create a UK Biobank <http://www.ukbiobank.ac.uk/> dataset
 from a UKB fileset (.tab, .r, .html), visualize primary demographic data for
 a sample subset, query ICD diagnoses, retrieve genetic metadata, read and
 write standard file formats for genetic analyses.

Package: r-cran-ukfe
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 999
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml2, r-cran-sf
Filename: pool/dists/focal/main/r-cran-ukfe_0.4.0-1.ca2004.1_all.deb
Size: 935576
MD5sum: f60e37d48493a8a56c3b9c4f63329644
SHA1: 3bd3a096bd928aa8c64ff3aca3177d4575b7536f
SHA256: ba6cde65943ad72ff0e6d115a80dda9f219a0807c0c8f6e627fe4f69ec0fcc1d
SHA512: 6d5a1d04533211015a2bb4e268c8bf5db9951b4b9e52def585d27c438ae9402750d607a51234347a0c0d39ba179530b9e399d87db4ba73109f30f28053a306ef
Homepage: https://cran.r-project.org/package=UKFE
Description: CRAN Package 'UKFE' (UK Flood Estimation)
 Functions to implement the methods of the Flood Estimation Handbook (FEH),
 associated updates and the revitalised flood hydrograph model (ReFH).
 Currently the package uses NRFA peak flow dataset version 13. Aside from FEH
 functionality, further hydrological functions are available. Most of the
 methods implemented in this package are described in one or more of the
 following: "Flood Estimation Handbook", Centre for Ecology & Hydrology
 (1999, ISBN:0 948540 94 X). "Flood Estimation Handbook Supplementary Report
 No. 1", Kjeldsen (2007, ISBN:0 903741 15 7). "Regional Frequency Analysis -
 an approach based on L-moments", Hosking & Wallis (1997, ISBN: 978 0 521
 01940 8). "Proposal of the extreme rank plot for extreme value analysis:
 with an emphasis on flood frequency studies", Hammond (2019,
 <doi:10.2166/nh.2019.157>). "Making better use of local data in flood
 frequency estimation", Environment Agency (2017, ISBN: 978 1 84911 387 8).
 "Sampling uncertainty of UK design flood estimation" , Hammond (2021,
 <doi:10.2166/nh.2021.059>). "Improving the FEH statistical procedures for
 flood frequency estimation", Environment Agency (2008, ISBN: 978 1 84432 920
 5). "Low flow estimation in the United Kingdom", Institute of Hydrology
 (1992, ISBN 0 948540 45 1). Wallingford HydroSolutions, (2016,
 <http://software.hydrosolutions.co.uk/winfap4/Urban-Adjustment-Procedure-Technical-Note.pdf>).
 Data from the UK National River Flow Archive (<https://nrfa.ceh.ac.uk/>,
 terms and conditions: <https://nrfa.ceh.ac.uk/costs-terms-and-conditions>).

Package: r-cran-ukgasapi
Architecture: all
Version: 0.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ukgasapi_0.21-1.ca2004.1_all.deb
Size: 26940
MD5sum: 1c81d32790da42c47fa5e458fd5f5acc
SHA1: e529b1edd6b12b0856042308e9910b6cc6472a25
SHA256: 065d4059595f188d7e9e8cb81f7184a4e26bc4491f1d2852a4db8b203a4f8a7a
SHA512: e37daf8ede69e76b2b18bb1e37803372ee165843393f2125d518325db38f68f62cfacc58b1cc102595a1bd41b0973c1fde71dbc9e74b0dd4cb26564a5e41d4a5
Homepage: https://cran.r-project.org/package=ukgasapi
Description: CRAN Package 'ukgasapi' (API for UK Energy Market Information)
 Allows users to access live UK energy market information via various APIs.

Package: r-cran-ukgrid
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3934
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-magrittr, r-cran-xts, r-cran-zoo
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-remotes, r-cran-tsstudio, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ukgrid_0.1.3-1.ca2004.1_all.deb
Size: 3544336
MD5sum: 7a679152c092bd26d5909e1921bdd5e5
SHA1: 578638c4898a78ad12412c22cc9467be84173fd0
SHA256: 38cac47bcf3cca02a7010ad69d423fcbbea8a8579bb07892258b7075bdf8e2b0
SHA512: 0ae95ee9cc70ecb95110778b6dd43ee73b4eeb9e40c07ebe9b8f1017704f0b1dbaf0938813c4f39c4e8df8700f36ab65b48f19d5cd5cb2e3aa0a04ad642bb197
Homepage: https://cran.r-project.org/package=UKgrid
Description: CRAN Package 'UKgrid' (The UK National Electricity Transmission System Dataset)
 A time series of the national grid demand (high-voltage electric power
 transmission network) in the UK since 2011.

Package: r-cran-ukhsadatr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ukhsadatr_0.1.1-1.ca2004.1_all.deb
Size: 24800
MD5sum: 2f4f7173f8860d719e811b06d41e26aa
SHA1: 525602cf2945fa8093b75009d865e1fc7c9783a2
SHA256: 2d616aeedca510da3498890313531903a4d126f108ea8bd07f5eadd209a9feca
SHA512: ce3b914a478af7f3fb179ebf96d59b2f0c34c8139a71ca50d937dbb45754268d67b920ed7d6c9b60072d308f5fc18c68a0ac470f35b4bf551df52d437de891aa
Homepage: https://cran.r-project.org/package=ukhsadatR
Description: CRAN Package 'ukhsadatR' (R Interface to Access UKHSA Dashboard Data)
 Programmatic interface to access data from the UK Health Security Agency
 (UKHSA) Data Dashboard API. The package was originally based on the
 'ukcovid19' package by Pouria Hadjibagheri and has been substantially
 rewritten and extended. For more information on the API, see
 <https://ukhsa-dashboard.data.gov.uk/access-our-data>.

Package: r-cran-uklr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4695
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-markdown, r-cran-covr, r-cran-spelling, r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-uklr_1.0.2-1.ca2004.1_all.deb
Size: 2853904
MD5sum: 6208b9422a81a488884faac866f3c125
SHA1: fad972c3d66e7630a65478a9180f7133eb85dd29
SHA256: f44f6260baed0ad289c213b7f302ce131eb9c61ea26c22444e785ccb1cb1db80
SHA512: 30e6cab47fe82d58265e5adf719382c8501c8382ea9532f6f6871885709066b7e400376b89c69b863cb24efa69f4c6c75ffc20297e24ee8fdb9630797d0fd55a
Homepage: https://cran.r-project.org/package=uklr
Description: CRAN Package 'uklr' (Client to United Kingdom Land Registry)
 Access data from Land Registry Open Data <http://landregistry.data.gov.uk/>
 through 'SPARQL' queries. 'uklr' supports the house price index, transaction
 and price paid data.

Package: r-cran-ukpolice
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 387
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-tibble, r-cran-purrr, r-cran-httr, r-cran-snakecase
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-dplyr, r-cran-leaflet, r-cran-htmltools, r-cran-scales, r-cran-sf, r-cran-sp
Filename: pool/dists/focal/main/r-cran-ukpolice_0.2.2-1.ca2004.1_all.deb
Size: 252612
MD5sum: 627fa540c92e34a9fc5f153e33af98a9
SHA1: bdf88d1a5954c3dc10e8f2071101565076279e81
SHA256: 355b981b86a2074ad7b4a1f2c7d0d19ffe76d7c0800be5d6c930386e3f4cd42c
SHA512: 82bc0f0cde3272db94b834add1b260b60286b765be8ceea2e53132b2840dab5a999d08ca294ad500d204963400c7f6f57564ad6732017e1966a6edd95b1ca892
Homepage: https://cran.r-project.org/package=ukpolice
Description: CRAN Package 'ukpolice' (Download Data on UK Police and Crime)
 Downloads data from the 'UK Police' public data API, the full docs of which
 are available at <https://data.police.uk/docs/>.  Includes data on police
 forces and police force areas, crime reports, and the use of stop-and-search
 powers.

Package: r-cran-ulex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 911
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-readr, r-cran-purrr, r-cran-tidytext, r-cran-stringr, r-cran-stringi, r-cran-ngram, r-cran-hunspell, r-cran-stringdist, r-cran-tm, r-cran-raster, r-cran-sf, r-cran-quanteda, r-cran-geodist, r-cran-spacyr
Filename: pool/dists/focal/main/r-cran-ulex_0.1.0-1.ca2004.1_all.deb
Size: 893636
MD5sum: 77a5a00da2a5eb9d9d86b52feb843e93
SHA1: d30b27a66d438ba677a2b658716e4b2f7ff14712
SHA256: 1334b759bd1f2bc4aa313fa9fa720c4321f1d99c32753be7b5c14451eed91f9e
SHA512: 1b35a910e857c69f7f09ee4055df33d3f98adb927579e8bb9556a2fc6e18739589e9b305ab3ec58fb9346043817049aab70141359319d694dad81dee9251f9a9
Homepage: https://cran.r-project.org/package=ulex
Description: CRAN Package 'ulex' (Unique Location Extractor)
 Extracts coordinates of an event location from text based on dictionaries of
 landmarks, roads, and areas. Only returns the location of an event of
 interest and ignores other location references; for example, if determining
 the location of a road traffic crash from the text "crash near [location 1]
 heading towards [location 2]", only the coordinates of "location 1" would be
 returned. Moreover, accounts for differences in spelling between how a user
 references a location and how a location is captured in location
 dictionaries.

Package: r-cran-ulrb
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2235
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-dplyr, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-clustersim, r-cran-gridextra
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-ulrb_0.1.6-1.ca2004.1_all.deb
Size: 1487560
MD5sum: 1d5a88b5c00ba355f0ddadfb07a718f5
SHA1: c9e4ed9c61700bfafaf1f836b644667c2997dd2a
SHA256: bf2d0c8e92e390c472d89ad1da1616d6a1e21795c2eb0fdf9facc3a1cc6142cb
SHA512: 020ef3429854417db75d729bf8493a9f598e739f7ba46bb5ed0fc971b6b1e249520b5f849dd41d2cdbf2caf30af3075af0c86046ad388a234a9b5206f3e1db39
Homepage: https://cran.r-project.org/package=ulrb
Description: CRAN Package 'ulrb' (Unsupervised Learning Based Definition of Microbial RareBiosphere)
 A tool to define rare biosphere. 'ulrb' solves the problem of the definition
 of rarity by replacing arbitrary thresholds with an unsupervised machine
 learning algorithm (partitioning around medoids, or k-medoids). This
 algorithm works for any type of microbiome data, provided there is an
 abundance table.  For validation of this method to different abundance
 tables, see Pascoal et al, 2025.  This method also works for non-microbiome
 data.

Package: r-cran-ultimixt
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-ultimixt_2.1-1.ca2004.1_all.deb
Size: 160452
MD5sum: a66bef6876f338f31d8061fdeea7b8b8
SHA1: 07b5ad181708ebe9133a2a8a9657877340e5915a
SHA256: f74902c97eefca4b934eb74233a9e0a91dae3835d68592734166282612cd82a5
SHA512: f228895a241b06a85bab3f9e73a12acb79cb8c9c23fcc360302725f5902165b278c306b84c76e828f09024eb5f0b920a7426eea0e3e33c0aa2caa05050d736d3
Homepage: https://cran.r-project.org/package=Ultimixt
Description: CRAN Package 'Ultimixt' (Bayesian Analysis of Location-Scale Mixture Models using aWeakly Informative Prior)
 A generic reference Bayesian analysis of unidimensional mixture
 distributions obtained by a location-scale parameterisation of the model is
 implemented. The including functions simulate and summarize posterior
 samples for location-scale mixture models using a weakly informative prior.
 There is no need to define priors for scale-location parameters except two
 hyperparameters in which are associated with a Dirichlet prior for weights
 and a simplex.

Package: r-cran-ultrapolarplot
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-tibble, r-cran-rjson, r-cran-ggplot2, r-cran-cairo, r-cran-plyr, r-cran-purrr, r-cran-readr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ultrapolarplot_0.1.1-1.ca2004.1_all.deb
Size: 81268
MD5sum: 9d502d919e63b6e887e6df0c452bfab4
SHA1: c2bdc70a2c04416182a0032e08e3d209beebc4fb
SHA256: 3cdc28021f5d40e36832152d3bd3591c6cc18f72e4193a26464634598cb4e9b0
SHA512: 9bb093dd725f53a65bfc54372281dc150af05b8dc5579974f56291c3c6368b497f784fdb42af0a3f26fec45cc52772e77a72340a11d854f9ae9e54c78bf13249
Homepage: https://cran.r-project.org/package=ultrapolaRplot
Description: CRAN Package 'ultrapolaRplot' (Plotting Ultrasound Tongue Traces)
 Plots traced ultrasound tongue imaging data according to a polar coordinate
 system.  There is currently support for plotting means and standard
 deviations of each category's trace; Smoothing Splines Analysis of Variance
 (SSANOVA) could be implemented as well.  The origin of the polar coordinates
 may be defined manually or automatically determined based on different
 algorithms.  Currently 'ultrapolaRplot' supports ultrasound tongue imaging
 trace data from 'UltraTrace' (<https://github.com/SwatPhonLab/UltraTrace>).
 'UltraTrace' is capable of importing data from Articulate Instruments AAA.
 'read_textgrid.R' is required for opening TextGrids to determine category
 and alignment information of ultrasound traces.

Package: r-cran-umbridge
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-umbridge_1.0-1.ca2004.1_all.deb
Size: 39028
MD5sum: 519d5e223b06c0441b4234eb640e1766
SHA1: e3e5f02747e36e9fddf8c729cce4060977ee8156
SHA256: 9608a685094cc3132323c5a44e0e0a2a16801441da2c1d70bc500cbee3b9b2fa
SHA512: 5c7230e894985637c6d2e21afbda3d849458aae348ecaabe284cb495f839329df5187e123ed4746e7916a7f7e9b44e349449ed18e0acdd8833be1db62b375949
Homepage: https://cran.r-project.org/package=umbridge
Description: CRAN Package 'umbridge' (Integration for the UM-Bridge Protocol)
 A convenient wrapper for the UM-Bridge protocol. UM-Bridge is a protocol
 designed for coupling uncertainty quantification (or statistical /
 optimization) software to numerical models. A model is represented as a
 mathematical function with optional support for derivatives via Jacobian
 actions etc.

Package: r-cran-umianalyzer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3616
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biocmanager, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-ggplot2, r-cran-gridextra, r-cran-magrittr, r-cran-pheatmap, r-cran-readr, r-bioc-rsamtools, r-cran-shiny, r-cran-shinydashboard, r-cran-shinyfiles, r-cran-shinywidgets, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-umianalyzer_1.0.0-1.ca2004.1_all.deb
Size: 1400064
MD5sum: 114618c1e6fd8ebd9bfcc3a91364831e
SHA1: b7a0944bbecde236a2c4032fb89c4333f5b30a95
SHA256: 9834771d0abd30619b620b97eaf8c87b92dc4fb9fb33b671960933da2e59fa94
SHA512: 405a23072551d05bf616e969453d4df67e40b31dbf82bfd5f9b4d280c5d21d21edf96cdf4b2ffff2c3f32a3823b05ea4c0679089f9cfaa5e381d327d24bfc824
Homepage: https://cran.r-project.org/package=umiAnalyzer
Description: CRAN Package 'umiAnalyzer' (Tools for Analyzing Sequencing Data with Unique MolecularIdentifiers)
 Tools for analyzing sequencing data containing unique molecular identifiers
 generated by 'UMIErrorCorrect'
 (<https://github.com/stahlberggroup/umierrorcorrect>).

Package: r-cran-umoments
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 329
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-umoments_1.0.1-1.ca2004.1_all.deb
Size: 279180
MD5sum: 16e68a1d01c86263e2d3a7ad592b085b
SHA1: 9bad7cdce49e989c1d0bd31421c4a736245e3eee
SHA256: dfe4c5524805b85a998f2ddf91ee40295fff0928c241285a7be66ce501e9b2a4
SHA512: 84f0ad4c94826ffc68eb9576d5dda7c6f44e17d9b43c26305aa2c1c81b54dbcea18a0150ce88f875c61c4a39d2e80190bb2c078fe898a572feec88e23cde4eef
Homepage: https://cran.r-project.org/package=Umoments
Description: CRAN Package 'Umoments' (Unbiased Central Moment Estimates)
 Calculates one-sample unbiased central moment estimates and two-sample
 pooled estimates up to 6th order, including estimates of powers and products
 of central moments. Provides the machinery for obtaining unbiased central
 moment estimators beyond 6th order by generating expressions for
 expectations of raw sample moments and their powers and products.  Gerlovina
 and Hubbard (2019) <doi:10.1080/25742558.2019.1701917>.

Package: r-cran-umpire
Architecture: all
Version: 2.0.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mc2d, r-cran-bimodalindex
Suggests: r-cran-mclust, r-cran-survival, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-umpire_2.0.11-1.ca2004.1_all.deb
Size: 565380
MD5sum: 7b59a77ccdc59cd96d5f9d53965fa984
SHA1: 8fe2718df064134902833adc55829ca97ddf0db2
SHA256: 7842d167bddcbdf64840f567e9dad4b9ec3216aab709980a920a75fa8985f0a3
SHA512: 67290c03ae79878cf59b1d4aa8c7be5ca7298041d14e896e82204fefb35fab54a2cca8b054afed504d2de27a9cf2f22c441ab3de25e0cc46bc791e7e3dc7204e
Homepage: https://cran.r-project.org/package=Umpire
Description: CRAN Package 'Umpire' (Simulating Realistic Gene Expression and Clinical Data)
 The Ultimate Microrray Prediction, Reality and Inference Engine (UMPIRE) is
 a package to facilitate the simulation of realistic microarray data sets
 with links to associated outcomes. See Zhang and Coombes (2012)
 <doi:10.1186/1471-2105-13-S13-S1>. Version 2.0 adds the ability to simulate
 realistic mixed-typed clinical data.

Package: r-cran-umr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-decon, r-cran-trust, r-cran-distr
Suggests: r-cran-purrr, r-cran-iso
Filename: pool/dists/focal/main/r-cran-umr_1.1.0-1.ca2004.1_all.deb
Size: 97172
MD5sum: afcc21b7766b4db58214d619d8cc0620
SHA1: 0595b2e0f79c6ff02f22a345126a9a69ecb11adb
SHA256: 1f31f7b02dd360eb8a311378800c1e96a2f73bd8147cbdba896a4dcd45b620ce
SHA512: 9bc48a0d5d3d8940449317061f30ef032bdd034ad9c9c9f75d80c14163c6df8728d009672a646093a6eaf26a242a0c45697930a50a10d256770fb802ce133691
Homepage: https://cran.r-project.org/package=UMR
Description: CRAN Package 'UMR' (Unmatched Monotone Regression)
 Unmatched regression refers to the regression setting where covariates and
 predictors are collected separately/independently and so are not paired
 together, as in the usual regression setting.  Balabdaoui, Doss, and Durot
 (2021) <arXiv:2007.00830> study the unmatched regression setting where the
 univariate regression function is known to be monotone.  This package
 implements methods for computing the estimator developed in Balabdaoui,
 Doss, and Durot (2021).  The main method is an active-set-trust-region-based
 method.

Package: r-cran-umx
Architecture: all
Version: 4.21.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5954
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-openmx, r-cran-cowplot, r-cran-diagrammer, r-cran-ggplot2, r-cran-kableextra, r-cran-knitr, r-cran-lavaan, r-cran-mass, r-cran-matrix, r-cran-mumin, r-cran-mvtnorm, r-cran-nlme, r-cran-polycor, r-cran-r2html, r-cran-rcurl, r-cran-scales, r-cran-xtable, r-cran-gert, r-cran-hrbrthemes, r-cran-openxlsx, r-cran-paran, r-cran-psych, r-cran-foreign, r-cran-psychtools, r-cran-pwr, r-cran-rmarkdown
Suggests: r-cran-cocor, r-cran-devtools, r-cran-rhub, r-cran-spelling, r-cran-testthat, r-cran-gparotation
Filename: pool/dists/focal/main/r-cran-umx_4.21.0-1.ca2004.1_all.deb
Size: 4994692
MD5sum: 3f559fc2be2af33ccb71472dcd7a6c87
SHA1: 151bfc40e0679b0883e0d81fa1802f6eda71d29e
SHA256: fc66c82e8c0311c73f9f0da3dbbf3a35c465a61d262e81c872995ee03a14c556
SHA512: 8b0b7e1dfc6e9e2a1167e7b001653f5f303cbf5977b6f432f35cf1474f5e9cd60429f85e921d868e4e0491ec93bc5dec9d343ebf249c1e57712124cb786dcef6
Homepage: https://cran.r-project.org/package=umx
Description: CRAN Package 'umx' (Structural Equation Modeling and Twin Modeling in R)
 Quickly create, run, and report structural equation models, and twin models.
 See '?umx' for help, and umx_open_CRAN_page("umx") for NEWS.  Timothy C.
 Bates, Michael C. Neale, Hermine H. Maes, (2019). umx: A library for
 Structural Equation and Twin Modelling in R.  Twin Research and Human
 Genetics, 22, 27-41. <doi:10.1017/thg.2019.2>.

Package: r-cran-unalr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5500
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-d3r, r-cran-dplyr, r-cran-dt, r-cran-dygraphs, r-cran-echarts4r, r-cran-fmsb, r-cran-forcats, r-cran-ggplot2, r-cran-gt, r-cran-highcharter, r-cran-leaflet, r-cran-leaflet.extras, r-cran-plotly, r-cran-rlang, r-cran-sunburstr, r-cran-tidyr, r-cran-treemap, r-cran-cli, r-cran-data.tree, r-cran-ggspatial, r-cran-ggrepel, r-cran-gtextras, r-cran-htmltools, r-cran-jsonlite, r-cran-lifecycle, r-cran-magrittr, r-cran-maps, r-cran-scales, r-cran-sf, r-cran-sp, r-cran-stringr, r-cran-xts, r-cran-zoo, r-cran-htmlwidgets, r-cran-webshot, r-cran-png, r-cran-gridsvg, r-cran-xml
Suggests: r-cran-testthat, r-cran-cowplot, r-cran-ggthemes, r-cran-magick, r-cran-pals, r-cran-readxl, r-cran-rsvg, r-cran-tibble, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-unalr_1.0.0-1.ca2004.1_all.deb
Size: 5415744
MD5sum: 627ced8f90a784eeb1782ecdc2b99c9f
SHA1: f35f9d3a9bc09c62c113c53ab0768db3721fec2d
SHA256: a919568c315a19e9af333767629d4a0ca6b4276ae3c8436759033321920a549d
SHA512: 8a684c1edfdaa6b48bd7ae7d0ae2af78d7f5113a30b8669633e06fbd78a099f03e715c1ec167c7f052b002d3169381c3ff1a83f4f16f04d05f21239477f546e9
Homepage: https://cran.r-project.org/package=UnalR
Description: CRAN Package 'UnalR' (Una implementación de funciones de uso interno)
 Una herramienta rápida y consistente para la disposición de microdatos y la
 visualización de las cifras y estadísticas oficiales de la Universidad
 Nacional de Colombia <https://unal.edu.co>. Contiene una biblioteca de
 funciones gráficas, tanto estáticas como interactivas, que ofrece numerosos
 tipos de gráficos con una sintaxis altamente configurable y simple. Entre
 estos encontramos la visualización de tablas HTML, series, gráficos de
 barras y circulares, mapas, etc. Todo lo anterior apoyado en bibliotecas de
 JavaScript.  English: A fast and consistent tool for the arrangement of
 microdata and the visualization of official figures and statistics from the
 National University of Colombia <https://unal.edu.co>. It includes a library
 of graphical functions, both static and interactive, offering numerous types
 of charts with a highly configurable and simple syntax. Among these, we find
 the visualization of HTML tables, series, bar and pie charts, maps, etc. It
 provides the capability to transition from the interactive to the dynamic
 world and from one library to another without changing function or syntax.

Package: r-cran-unbalanced
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlr, r-cran-foreach, r-cran-doparallel, r-cran-fnn, r-cran-rann
Suggests: r-cran-randomforest, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-unbalanced_2.0-1.ca2004.1_all.deb
Size: 137268
MD5sum: dbbe3fe1844cd53be905289ba3da477d
SHA1: 41bba22aee35af74fce28c2b2988e0b62233fdbd
SHA256: 264f6f868dc349d3d7740155308a291c6e6364d787b325146db101d552c69e7e
SHA512: 28f0ddf9b327effd27dcd5d8dca63bed194b47e9c671e50ec7f186c5fbddbc2c7eab287ea3c20066c034d3d2787bc901ecdea3bef7782b2424e1a7985443a7cf
Homepage: https://cran.r-project.org/package=unbalanced
Description: CRAN Package 'unbalanced' (Racing for Unbalanced Methods Selection)
 A dataset is said to be unbalanced when the class of interest (minority
 class) is much rarer than normal behaviour (majority class). The cost of
 missing a minority class is typically much higher that missing a majority
 class. Most learning systems are not prepared to cope with unbalanced data
 and several techniques have been proposed. This package implements some of
 most well-known techniques and propose a racing algorithm to select
 adaptively the most appropriate strategy for a given unbalanced task.

Package: r-cran-unbalhaar
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-unbalhaar_2.1-1.ca2004.1_all.deb
Size: 50460
MD5sum: 1f9c26652c715db0ac4c4d4111942e67
SHA1: 7e49529071d323feacdbcc7c5c2ad3cb21bd2657
SHA256: c74e92e30fd847626dcf76d12759104b51cbd3577f1157cdecc4e461e6e41791
SHA512: 3ec788c41bab2a565949b5662b9e65592505a3d63096a0752c3a067028927cb00de8adb9f39113c48ecf2af5b7d00eedf1266e1e29a82214e74849478b0d5603
Homepage: https://cran.r-project.org/package=unbalhaar
Description: CRAN Package 'unbalhaar' (Function Estimation via Unbalanced Haar Wavelets)
 Top-down and bottom-up algorithms for nonparametric function estimation in
 Gaussian noise using Unbalanced Haar wavelets.

Package: r-cran-uncdecomp
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-uncdecomp_1.0.1-1.ca2004.1_all.deb
Size: 93132
MD5sum: e02d4f5e9b26ac6d9fd1c4544ad1edb2
SHA1: e62caf32495be136a405c1cb91e7778744f6f5c3
SHA256: 59c042300d219da720c595d2a8bd6c6c70324aa9af9f4a1bbf609b1e4da6234e
SHA512: 8704bf9d53371a208b1d5cb39ee316163d5e735c41f9693635c4706097ddf9f6d421d5e6e6542c41504838feb6e5e618ebb8e239294483b4bac2217632bb9c16
Homepage: https://cran.r-project.org/package=UncDecomp
Description: CRAN Package 'UncDecomp' (Uncertainty Decomposition)
 If a procedure consists of several stages and there are several models that
 can be selected for each stage, uncertainty of the procedure can be
 decomposed by stages or models.  This package includes the ANOVA-based
 method, the cumulative uncertainty-based method, and the balanced
 decomposition method.  Yongdai Kim et al. (2019)
 <doi:10.1016/j.hydroa.2019.100024> is a related paper which is accessible
 via the URL below.

Package: r-cran-uncertainty
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm, r-cran-triangle
Filename: pool/dists/focal/main/r-cran-uncertainty_0.2.0-1.ca2004.1_all.deb
Size: 82192
MD5sum: 7d739066f0e13273a28e1b13cfffee39
SHA1: da7cd41d8fe6b6163b4bcaa0709e9d67d0c133d1
SHA256: 50683499116f2f202ad254ea4d02508a53849d6c8aa818dc50cbc1dcf90603f5
SHA512: 8eb20a7f8bc15162234c868510488518d8ae34ff8a2dc4b4a9c094b7334990b42c7d486559bffa9145678726ca16bb53a48987e08b113eaddcaedb8a6985fbe4
Homepage: https://cran.r-project.org/package=uncertainty
Description: CRAN Package 'uncertainty' (Uncertainty Estimation and Contribution Analysis)
 Implements the Gaussian method of first and second order, the Kragten
 numerical method and the Monte Carlo simulation method for uncertainty
 estimation and analysis.

Package: r-cran-uncertainucdp
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 922
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-mistr, r-cran-rlang, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-uncertainucdp_0.5.2-1.ca2004.1_all.deb
Size: 826548
MD5sum: 57497e8b429481fb646113e6debb99f6
SHA1: 9e7391c8e2edb8f30f284c35ac4f888755d169f5
SHA256: 8e79028ffe27de21f7d2477f02ec704964254e11ba013cf6d657c4ee853cdd80
SHA512: 1a81ff151b7b3f59a932b8b780a354efadc67a7a39d9d0357fe95359506225f42293bd39e5508e99a0e0c388ffc57bf56c87fd57c0a8edaa8e0c99b6385d28c8
Homepage: https://cran.r-project.org/package=uncertainUCDP
Description: CRAN Package 'uncertainUCDP' (Parametric Mixture Models for Uncertainty Estimation ofFatalities in UCDP Conflict Data)
 Provides functions for estimating uncertainty in the number of fatalities in
 the Uppsala Conflict Data Program (UCDP) data. The package implements a
 parametric reported-value Gumbel mixture distribution that accounts for the
 uncertainty in the number of fatalities in the UCDP data. The model is based
 on information from a survey on UCDP coders and how they view the
 uncertainty of the number of fatalities from UCDP events. The package
 provides functions for making random draws of fatalities from the mixture
 distribution, as well as to estimate percentiles, quantiles, means, and
 other statistics of the distribution. Full details on the survey and
 estimation procedure can be found in Vesco et al (2024).

Package: r-cran-uncles
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pdist, r-cran-kohonen, r-cran-class
Filename: pool/dists/focal/main/r-cran-uncles_2.0-1.ca2004.1_all.deb
Size: 131512
MD5sum: 4b591788bfedd23a6d98f909c3420140
SHA1: b6465dd237746535684ca8ab7178b0ed8f61abb0
SHA256: d0bdad9dfafc4ba3b240edbf68cf5efb9dae2289df0a7b3a76e105337226cff8
SHA512: 121db67009167e522e8e620ba2855cf497629ea692ecb9a21b9c245c2682c37a3bfcde110dac038077c12f3864e2a492054799c42a4e8d209fd805637b3364ea
Homepage: https://cran.r-project.org/package=UNCLES
Description: CRAN Package 'UNCLES' (Unification of Clustering Results from Multiple Datasets usingExternal Specifications)
 Consensus clustering by the unification of clustering results from multiple
 datasets using external specifications.

Package: r-cran-uncmbb
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-uncmbb_0.2.2-1.ca2004.1_all.deb
Size: 63400
MD5sum: 433d36a23d10f7095fba448733f7fb95
SHA1: 656fab347ba72eb7f0cd8b368692907914d52cd4
SHA256: af957362611aa79f4999e892ca33e016aa1ba5a9eb1e2c9987deb975b6dc2b75
SHA512: 125a66d5b58954bb18e7110b5b48f6bacc4dc2deabda2bf9c0141e7ac1117698e57da7af848f2e1692575ca6ae0ea0dd3287acd0048ee5947d7cee6d04fc145b
Homepage: https://cran.r-project.org/package=uncmbb
Description: CRAN Package 'uncmbb' (UNC Men's Basketball Match Results Since 1949-1950 Season)
 Dataset contains select attributes for each match result since 1949-1950
 season for UNC men's basketball team.

Package: r-cran-uncorbets
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-nlcoptim
Suggests: r-cran-spelling, r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uncorbets_0.1.2-1.ca2004.1_all.deb
Size: 28228
MD5sum: 626188fb9bc92659ac3e497676195231
SHA1: c287d444a38d58b70fb9e34dc4d81857b1717aa3
SHA256: 09c2a39a255b6f7aacfe0429ad4f7fbb223fa059898a2f80807f9dabcc85296e
SHA512: 65875c953ad1843529e649f01c84153e744f0e38bc851b9ebc40388b05ed2c7339488091490cca520b6a1e54753df40724fb149467d87a06e69b1fe839abca9c
Homepage: https://cran.r-project.org/package=uncorbets
Description: CRAN Package 'uncorbets' (Uncorrelated Bets via Minimum Torsion Algorithm)
 Implements Minimum Torsion for portfolio diversification as described in
 Meucci, Attilio (2013) <doi:10.2139/ssrn.2276632>.

Package: r-cran-uncover
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mvnfast, r-cran-igraph, r-cran-crayon, r-cran-memoise, r-cran-ggally, r-cran-ggplot2, r-cran-ggpubr, r-cran-scales, r-cran-cachem, r-cran-ggnewscale
Filename: pool/dists/focal/main/r-cran-uncover_1.1.0-1.ca2004.1_all.deb
Size: 194288
MD5sum: 0b97e416d8650f6a43368232b005774d
SHA1: 1517b0b33f1a2bcf58630b0dc9ccdc105870c500
SHA256: 481c15820361fa926bc57074d271ef4eb47225487ed31fc62d2c1642cb172b85
SHA512: fad08cab67ab33a35632e02917ac834ff7809f8f667576df9f3940a03d45808ac92876eb3908a31bfcc2aff9858cf57620dbd048b7ad3aa9f77de89ffa49ac87
Homepage: https://cran.r-project.org/package=UNCOVER
Description: CRAN Package 'UNCOVER' (Utilising Normalisation Constant Optimisation via Edge Removal(UNCOVER))
 Model data with a suspected clustering structure (either in co-variate
 space, regression space or both) using a Bayesian product model with a
 logistic regression likelihood. Observations are represented graphically and
 clusters are formed through various edge removals or additions. Cluster
 quality is assessed through the log Bayesian evidence of the overall model,
 which is estimated using either a Sequential Monte Carlo sampler or a
 suitable transformation of the Bayesian Information Criterion as a fast
 approximation of the former. The internal Iterated Batch Importance Sampling
 scheme (Chopin (2002 <doi:10.1093/biomet/89.3.539>)) is made available as a
 free standing function.

Package: r-cran-undidr
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-undidr_2.0.0-1.ca2004.1_all.deb
Size: 306016
MD5sum: 0e43053d97ef4600410055ba7418a31d
SHA1: cd58d010e9cdf1612ee97cd5f91172f20293ae90
SHA256: 7237c4b63e3caa320219f283f04323a44828e5d2127e954f6a0d260409c27854
SHA512: c0aa4255e362595e4e381cd8a6460b647b2e29db9330a978a685c2487fbfd66d591e9a8d62d5335d3f587df128ab3e89fafbe06bdacf485ed641f2d49e6d5fc8
Homepage: https://cran.r-project.org/package=undidR
Description: CRAN Package 'undidR' (Difference-in-Differences with Unpoolable Data)
 A framework for estimating difference-in-differences with unpoolable data,
 based on Karim, Webb, Austin, and Strumpf (2024)
 <doi:10.48550/arXiv.2403.15910>. Supports common or staggered adoption,
 multiple groups, and the inclusion of covariates. Also computes p-values for
 the aggregate average treatment effect on the treated via the randomization
 inference procedure described in MacKinnon and Webb (2020)
 <doi:10.1016/j.jeconom.2020.04.024>.

Package: r-cran-unf
Architecture: all
Version: 2.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1856
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-base64enc, r-cran-digest
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unf_2.0.8-1.ca2004.1_all.deb
Size: 349548
MD5sum: 1c79e57dc5e8930b64c340d559d4f7df
SHA1: 72356b5f2ac5a14404ce9f0d3831557da67db4f8
SHA256: 8a3a009c7b241e45aa978df89df8267c6e8a199d39748f4844f351a9a4c9fc2f
SHA512: 807b5c1e99c7ce792fd5cad75aa831620a7a9c86becff2ee73d268edf3de285e535d7dcac5b0df5769b5f7e3ea0eb7bdd10dc1799ac88f17737a78c84c5e21aa
Homepage: https://cran.r-project.org/package=UNF
Description: CRAN Package 'UNF' (Tools for Creating Universal Numeric Fingerprints for Data)
 Computes a 'universal numeric fingerprint' ('UNF') for an R data object.
 'UNF' is a hash or signature that can be used to uniquely identify (a
 version of) a rectangular dataset, or a subset thereof. 'UNF' can be used,
 in tandem with a 'DOI', to form a persistent citation to a versioned
 dataset.

Package: r-cran-unglue
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-glue, r-cran-testthat, r-cran-rlang, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-unglue_0.1.0-1.ca2004.1_all.deb
Size: 89064
MD5sum: 2f3d899c9bc02a00de9bfaa8ba353f0d
SHA1: 771b88059d00cdda79f47b275cd993d1a1492208
SHA256: e7d94038f57a6520a18a0c94e4c6e5146b1757d99aaa6408398632687d9c8cda
SHA512: e4b7eb79f162889f4ff7bc5702d0a0ed93edc573e1064d9f8cbe6fe15a562faa07cbd130cb1901457f6545a34c641df702c272814be445d5b1f17a49d7e243cb
Homepage: https://cran.r-project.org/package=unglue
Description: CRAN Package 'unglue' (Extract Matched Substrings Using a Pattern)
 Use syntax inspired by the package 'glue' to extract matched substrings in a
 more intuitive and compact way than by using standard regular expressions.

Package: r-cran-unhcrdown
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2789
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bslib, r-cran-magick, r-cran-officedown, r-cran-pagedown, r-cran-rmarkdown, r-cran-xaringan
Suggests: r-cran-fontawesome, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-unhcrdown_0.6.0-1.ca2004.1_all.deb
Size: 1958028
MD5sum: 4ceed3fb363182d12fd8ca21e22790a1
SHA1: 3a0924c9dd47638d7e7903ac000f53320db24ede
SHA256: 7248e2740e94fd969dadaea95338a27cba0e9c8a0621029c77531abc0e87826f
SHA512: 548f27666af4d5ba28e195e8c3c629312bc9e902cc5b00a068d4678216d3e2f053c731cf2c65ed7703c975d401ae3af0fecddf2bdaf66b257b817ee32a5d6c3b
Homepage: https://cran.r-project.org/package=unhcrdown
Description: CRAN Package 'unhcrdown' (UNHCR Branded Templates for R Markdown Documents)
 Create United Nations High Commissioner for Refugees (UNHCR) branded
 documents, presentations, and reports using R Markdown templates.  This
 package provides customized formats that align with UNHCR's official brand
 guidelines for creating professional PDF reports, Word documents, PowerPoint
 presentations, and HTML outputs.

Package: r-cran-unhcrthemes
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3031
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-scales, r-cran-ggtext, r-cran-ggrepel, r-cran-systemfonts, r-cran-extrafont
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-colorspace, r-cran-ragg, r-cran-refugees, r-cran-tidyverse, r-cran-treemapify, r-cran-ggstream, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-unhcrthemes_0.7.0-1.ca2004.1_all.deb
Size: 1550744
MD5sum: 307bf6660a9305fdad7d8dd359d4c08b
SHA1: 13fb589e7979d222a2f73f93f0f8585a3ba3d2c2
SHA256: d6d51652057fe0423690d1399e973754f1515062df554a99d3ac4f7e8c7522d1
SHA512: 7bfbc449a8f32759114c22a849e994397952b66e3f2af6b4f7a503f09968d4ae6152fa400a0b183b183d52a791fce21e045376a7211b48dd8bf8bfc0d0558fad
Homepage: https://cran.r-project.org/package=unhcrthemes
Description: CRAN Package 'unhcrthemes' (UNHCR 'ggplot2' Theme and Colour Palettes)
 A 'ggplot2' theme and color palettes following the United Nations High
 Commissioner for Refugees (UNHCR) Data Visualization Guidelines
 recommendations.

Package: r-cran-unheadr
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 499
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-forcats, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-cran-tidyxl, r-cran-readxl, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-unheadr_0.4.0-1.ca2004.1_all.deb
Size: 341608
MD5sum: df9de78d9763e575eef4c42821183649
SHA1: 8c2964ca5a844ce30637021e319de42fdb82dce3
SHA256: 0bd00855d4e102d381b396f0e1646f57fa4f4e511f318e5224c51163f16049b2
SHA512: 21801b711846ee41440e8d461605f39627db6971e8279723ee14a022a370578f4d7900757613827f8d5e1677710a0f74e7a2d7463c37f727a8aab9f120a15a45
Homepage: https://cran.r-project.org/package=unheadr
Description: CRAN Package 'unheadr' (Handle Data with Messy Header Rows and Broken Values)
 Verb-like functions to work with messy data, often derived from spreadsheets
 or parsed PDF tables. Includes functions for unwrapping values broken up
 across rows, relocating embedded grouping values, and to annotate meaningful
 formatting in spreadsheet files.

Package: r-cran-uni.shrinkage
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-uni.shrinkage_1.0.0-1.ca2004.1_all.deb
Size: 13068
MD5sum: 6e44e42f0d43a3b9145a32ac2d78c1ef
SHA1: b65f6ff39b327b87c8861b9d700beaad5a126480
SHA256: 7cc39331ec0f357d5a7ab246db1df98529126a9956bd6901841a38c0c05aa09b
SHA512: c9d2e303c2c655630f8640f953e59d12aa65ae9ba337cd5a3c2a0e61b9f55536c539b5351b3fae118a7dba079d1f99ccb179d8fc8e01abd49327b1db668e4cba
Homepage: https://cran.r-project.org/package=uni.shrinkage
Description: CRAN Package 'uni.shrinkage' (Shrinkage Estimation for Univariate Normal Mean)
 Implement a shrinkage estimation for the univariate normal mean based on a
 preliminary test (pretest) estimator. This package also provides the
 confidence interval based on pivoting the cumulative density function. The
 methodologies are published in Taketomi et al.(2024)
 <doi:10.1007/s42081-023-00221-2> and Taketomi et al.(2024-)(under review).

Package: r-cran-uni.survival.tree
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-compound.cox
Filename: pool/dists/focal/main/r-cran-uni.survival.tree_1.5-1.ca2004.1_all.deb
Size: 42324
MD5sum: 31b71de1075629f33ac8103cbde86642
SHA1: 5d197e2bd083befdc915bca29f7496b7611df836
SHA256: 1d244981724511fab72e718d2233f5e04f702ed87dd6f2b7dc932b8c1e5f12ac
SHA512: e1c823d58158d285fa942461c70b934c2a2bc34c8050d8cb80f0029a2fbab9c7dc51760406cf00be671f8c964807b8329df44210690a8cce06a19b9f5096edb0
Homepage: https://cran.r-project.org/package=uni.survival.tree
Description: CRAN Package 'uni.survival.tree' (A Survival Tree Based on Stabilized Score Tests forHigh-dimensional Covariates)
 A classification (decision) tree is constructed from survival data with
 high-dimensional covariates.  The method is a robust version of the logrank
 tree, where the variance is stabilized.  The main function "uni.tree"
 returns a classification tree for a given survival dataset.  The inner nodes
 (splitting criterion) are selected by minimizing the P-value of the
 two-sample the score tests.  The decision of declaring terminal nodes
 (stopping criterion) is the P-value threshold given by an argument
 (specified by user).  This tree construction algorithm is proposed by Emura
 et al. (2021, in review).

Package: r-cran-uniah
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-iso, r-cran-ahaz, r-cran-survival
Filename: pool/dists/focal/main/r-cran-uniah_1.2-1.ca2004.1_all.deb
Size: 49900
MD5sum: 0f2409629313cfba9a0493c3807bbdd0
SHA1: 95847915db7f25ce724ce970fd54c7a3137dafb4
SHA256: 0f0bf5b02c48a1c955cb28ba2390d426d951ff3a6615c3884fdee75963cf6a59
SHA512: f3a189ad242c73449337c31e74bf520315678437118105fc1961d9f759ff561cc809ee507f8cf50c24b13c13de120a7623357f2b2647021c8dfabc9304890fd1
Homepage: https://cran.r-project.org/package=uniah
Description: CRAN Package 'uniah' (Unimodal Additive Hazards Model)
 Nonparametric estimation of a unimodal or U-shape covariate effect under
 additive hazards model.

Package: r-cran-unico
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1684
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-compositions, r-cran-config, r-cran-data.table, r-cran-futile.logger, r-cran-mass, r-cran-matrixcalc, r-cran-matrixstats, r-cran-mgcv, r-cran-nloptr, r-cran-pbapply, r-cran-pracma, r-cran-testit
Suggests: r-cran-egg, r-cran-hexbin, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unico_0.1.0-1.ca2004.1_all.deb
Size: 1139824
MD5sum: d598c1b0d488c24e8447af5ac1e2d594
SHA1: 5aa6514497ab48d9eb6a18018f18e595aff7c6ee
SHA256: 72fb347d6afed680d6fc742518051b7ef278aa3443b11b6f7ba1f5a7263ee678
SHA512: 9d9f9077fb82ba45c10b75082994a2fb1604ef771db541890222b9f46befc44be3bc53a1d9fd764ffb5e38eddc71d561118ea5182b66d4f5f64e491e5fc61f6d
Homepage: https://cran.r-project.org/package=Unico
Description: CRAN Package 'Unico' (Unified Cross-Omics Deconvolution)
 UNIfied Cross-Omics deconvolution (Unico) deconvolves standard 2-dimensional
 bulk matrices of samples by features into a 3-dimensional tensors
 representing samples by features by cell types.  Unico stands out as the
 first principled model-based deconvolution method that is theoretically
 justified for any heterogeneous genomic data. For more details see Chen and
 Rahmani et al. (2024) <doi:10.1101/2024.01.27.577588>.

Package: r-cran-unicode
Architecture: all
Version: 16.0.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-unicode_16.0.0-1-1.ca2004.1_all.deb
Size: 467344
MD5sum: 941e758718022f7e44fd559b4d991d7c
SHA1: 6f932a075aacfb3149cdb3ccb082334d6b8e26ad
SHA256: cb77082116059b6f910e18a9839df3e149a76c711b55abde843f09e6abf57e42
SHA512: 98e48f1e32ac3a4b0c4d1c7a7a3dbbc381e799855cc2c8e978f3f09710112bafff5f9c7ee3633e013ebca0718411c01a7634d0db8d0e292471ec2ef44b6c9ffd
Homepage: https://cran.r-project.org/package=Unicode
Description: CRAN Package 'Unicode' (Unicode Data and Utilities)
 Data from Unicode 16.0.0 and related utilities.

Package: r-cran-unicol
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3044
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-unikn
Suggests: r-cran-cli, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-unicol_0.3.0-1.ca2004.1_all.deb
Size: 2213004
MD5sum: 0ed724e74b27db366eca3b1f098f934c
SHA1: 1fbac36cbc569020740d4d96e9c93f67852025d6
SHA256: beebc93b81828b7fbd72f29f7f4fedbde95f3044950066f1568be81a51503727
SHA512: e33419f38de70351c878a42dcde6e213de5e1d37fe9935303d80f3a7ab8472e2290510765fd7e1a7ea45bd15f05203f131b5521bc9ae84421396818725af6620
Homepage: https://cran.r-project.org/package=unicol
Description: CRAN Package 'unicol' (The Colors of your University)
 Most universities use specific color combinations to express their unique
 brand identity. The 'unicol' package provides the colors and color palettes
 of various universities for easy plotting and printing in R. We collect and
 provide a diverse range of color palettes for creating scientific
 visualizations.

Package: r-cran-unifdag
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2051
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-graph, r-cran-gmp
Suggests: r-bioc-rgraphviz, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-unifdag_1.0.4-1.ca2004.1_all.deb
Size: 2059664
MD5sum: a336acc73893a9a08f0320d662c5a37d
SHA1: e3325ff86631fbb1df5fa1a2b8fdb4e0431b83d3
SHA256: 58278037d3dbc48d694afae6c403b3f81ae1daafb5dc7c11a9960809055550e8
SHA512: f31f94866a5c01e3f831b1cd0921ca7ed5cefd0463dafdbca25423bf698a1c9b9f27319a263f45b64a25ffa9b27b6eb60af5e6e727095d57490d2c0ce892f1f8
Homepage: https://cran.r-project.org/package=unifDAG
Description: CRAN Package 'unifDAG' (Uniform Sampling of Directed Acyclic Graphs)
 Uniform sampling of Directed Acyclic Graphs (DAG) using exact enumeration by
 relating each DAG to a sequence of outpoints (nodes with no incoming edges)
 and then to a composition of integers as suggested by Kuipers, J. and Moffa,
 G. (2015) <doi:10.1007/s11222-013-9428-y>.

Package: r-cran-unifieddosefinding
Architecture: all
Version: 0.1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-unifieddosefinding_0.1.10-1.ca2004.1_all.deb
Size: 140704
MD5sum: be20648ab74a045763b2af10fc9ff4d0
SHA1: 79a02a0fe7e93db45d65a7a1b8388161d7abc80b
SHA256: ebaa9f2ce1710f2dfab04ca2d5fbdbb2c909978f926c28807bf4e860eeb9b1db
SHA512: 556b09494f71d23c61143b229125f8982920ff35d716c480a2539e56c41ddd158ca97baf82486ea5ef1ab4d2ef7793f0ebcafaa533d375c6e4814103808b5298
Homepage: https://cran.r-project.org/package=UnifiedDoseFinding
Description: CRAN Package 'UnifiedDoseFinding' (Dose-Finding Methods for Non-Binary Outcomes)
 In many phase I trials, the design goal is to find the dose associated with
 a certain target toxicity rate. In some trials, the goal can be to find the
 dose with a certain weighted sum of rates of various toxicity grades. For
 others, the goal is to find the dose with a certain mean value of a
 continuous response. This package provides the setup and calculations needed
 to run a dose-finding trial with non-binary endpoints and performs
 simulations to assess design’s operating characteristics under various
 scenarios. Three dose finding designs are included in this package: unified
 phase I design (Ivanova et al. (2009)
 <doi:10.1111/j.1541-0420.2008.01045.x>), Quasi-CRM/Robust-Quasi-CRM (Yuan et
 al. (2007) <doi:10.1111/j.1541-0420.2006.00666.x>, Pan et al. (2014)
 <doi:10.1371/journal.pone.0098147>) and generalized BOIN design (Mu et al.
 (2018) <doi:10.1111/rssc.12263>). The toxicity endpoints can be handled with
 these functions including equivalent toxicity score (ETS), total toxicity
 burden (TTB), general continuous toxicity endpoints, with incorporating
 ordinal grade toxicity information into dose-finding procedure. These
 functions allow customization of design characteristics to vary sample size,
 cohort sizes, target dose-limiting toxicity (DLT) rates, discrete or
 continuous toxicity score, and incorporate safety and/or stopping rules.

Package: r-cran-unifir
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2986
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-glue, r-cran-proceduralnames, r-cran-r6
Suggests: r-cran-terrainr, r-cran-covr, r-cran-knitr, r-cran-lintr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-styler, r-cran-testthat, r-cran-terra, r-cran-sf
Filename: pool/dists/focal/main/r-cran-unifir_0.2.4-1.ca2004.1_all.deb
Size: 2250288
MD5sum: 32b9cc942e69bc3019311642b92e8be2
SHA1: 60314ddd90df34bd812c8e569636e08a6762ee04
SHA256: bfed4444f1c5e95f9377236f5cbbb59ef231da8ce56a8c9cfef623e862aae70b
SHA512: 3ba246640e4533ac03831298e62e862b266ea3edbe4f8a6a092ba8c98bce0ae42c4e3bca3354034e9fce1a527ed68281d2c04042e1c1181084316af053255191
Homepage: https://cran.r-project.org/package=unifir
Description: CRAN Package 'unifir' (A Unifying API for Calling the 'Unity' '3D' Video Game Engine)
 Functions for the creation and manipulation of scenes and objects within the
 'Unity' '3D' video game engine (<https://unity.com/>). Specific focuses
 include the creation and import of terrain data and 'GameObjects' as well as
 scene management.

Package: r-cran-uniformly
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 594
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-abind, r-cran-pgnorm, r-cran-rgl
Suggests: r-cran-geometry, r-cran-knitr, r-cran-misc3d, r-cran-rmarkdown, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-uniformly_0.5.0-1.ca2004.1_all.deb
Size: 203028
MD5sum: cef3cd14131a4b24cd1c81b14cca1088
SHA1: 79a223b8c71b7000f2864a7302c88105699f7dde
SHA256: fddd5f860a40db7fddc8211ebadef181b227871b7a1942ba8d4e19a33a260760
SHA512: 77a76a0a3a5cf487d620dedb26f6dd991e74e713f2c12ed44ea728cd04fddfdc4a81ab0cdbce06d28ce2dee1a95d6b3d5f152307dfc598bee9a3345225b752a6
Homepage: https://cran.r-project.org/package=uniformly
Description: CRAN Package 'uniformly' (Uniform Sampling)
 Uniform sampling on various geometric shapes, such as spheres, ellipsoids,
 simplices.

Package: r-cran-uniftest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-orthopolynom
Filename: pool/dists/focal/main/r-cran-uniftest_1.1-1.ca2004.1_all.deb
Size: 43024
MD5sum: cd9a22c480b1791f8fdbf8d9901e6781
SHA1: e007d530d740cda31839da4b1ac0afba6eae2cfd
SHA256: c9682a7b33f8d8e2a96f90efc131917e5ac79b9073e54387934b358fffd864bf
SHA512: aa313f16f55a150a5b79f521a76f3416afc551c79d7c71747dc5a3d8e16353c8e940598cf119c141dcba8b9024280ddbe58191f70b32440104e9ecb10582f98b
Homepage: https://cran.r-project.org/package=uniftest
Description: CRAN Package 'uniftest' (Tests for Uniformity)
 Goodness-of-fit tests for the uniform distribution.

Package: r-cran-unikn
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4957
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-unikn_1.0.0-1.ca2004.1_all.deb
Size: 3118680
MD5sum: fb27ea38c703f2fb3177818b9ceb7ee0
SHA1: 9816c13df2f9acc98e1eb12d9f7c836d9a3c9333
SHA256: 6d20da7dcc4d672eb7ebf43bfaba5e09f1c56bea079432c697bc336cb6901c86
SHA512: 0c3126753ba9b658be9c3f27ae9703d642e6052441ad5a0a58e404a2fbdb1b3d9e0f542005e63b5684d6c0c2b86f1a5d1db851894888a4da96e2f6ed504faf4a
Homepage: https://cran.r-project.org/package=unikn
Description: CRAN Package 'unikn' (Graphical Elements of the University of Konstanz's CorporateDesign)
 Define and use graphical elements of corporate design manuals in R. The
 'unikn' package provides color functions (by defining dedicated colors and
 color palettes, and commands for finding, changing, viewing, and using them)
 and styled text elements (e.g., for marking, underlining, or plotting
 colored titles). The pre-defined range of colors and text decoration
 functions is based on the corporate design of the University of Konstanz
 <https://www.uni-konstanz.de/>, but can be adapted and extended for other
 purposes or institutions.

Package: r-cran-uniprotr
Architecture: all
Version: 2.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 282
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-networkd3, r-cran-alakazam, r-cran-gprofiler2, r-cran-progress, r-cran-ggsci
Filename: pool/dists/focal/main/r-cran-uniprotr_2.5.0-1.ca2004.1_all.deb
Size: 240232
MD5sum: 5e35db125bf79c2681cfe85aa2ddcb16
SHA1: fae7a14164fc7fbe016b2adea858985beaf20521
SHA256: 2e9571f544d24caf73d747f912e958e016da9fdf57be587f3c7a92e575b6bebf
SHA512: b45c35e5963377397e1667929004a97eb23f89d7ebb8d6fca04a709d8743268105f646e30d496c888ffc7e2714c364d2747a2b25a62e071d898d8e1db78033b8
Homepage: https://cran.r-project.org/package=UniprotR
Description: CRAN Package 'UniprotR' (Retrieving Information of Proteins from Uniprot)
 Connect to Uniprot <https://www.uniprot.org/> to retrieve information about
 proteins using their accession number such information could be name or
 taxonomy information, For detailed information kindly read the publication
 <doi:10.1016/j.jprot.2019.103613>.

Package: r-cran-uniqtag
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uniqtag_1.0.1-1.ca2004.1_all.deb
Size: 21176
MD5sum: 124b6036c1ef609d6bfec061f92884b5
SHA1: d56b7e5ee715323d9b3ff3c3f829f88ad9059f31
SHA256: 2ab4d39f923a833251ddba09f3fa40f6a7514ceb5c2378faba47abae16db0654
SHA512: 3976c7b99322573ee32be5f8ab0cb79723f8b42a2681bf2a72a8fa62299f9dd9db2095b77537ae7517239d83ecd4762f22b9020c33fd2165198ef61ebf5548eb
Homepage: https://cran.r-project.org/package=uniqtag
Description: CRAN Package 'uniqtag' (Abbreviate Strings to Short, Unique Identifiers)
 For each string in a set of strings, determine a unique tag that is a
 substring of fixed size k unique to that string, if it has one. If no such
 unique substring exists, the least frequent substring is used. If multiple
 unique substrings exist, the lexicographically smallest substring is used.
 This lexicographically smallest substring of size k is called the "UniqTag"
 of that string.

Package: r-cran-unireg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dosefinding, r-cran-mass, r-cran-mvtnorm, r-cran-quadprog, r-cran-sel
Filename: pool/dists/focal/main/r-cran-unireg_1.1-1.ca2004.1_all.deb
Size: 61664
MD5sum: e67de99430640efc8ef433251ec1cfc4
SHA1: 3347eb4f97e7b5628183545caa77f061f05f52bb
SHA256: f15cd1c8491289fa0df70ddec939d1caf168d61602f95d7154aac01de7451823
SHA512: e9c6b2d7bf5731ddbb0bbbe7a1c423e36ba60ea5cbc1766e7f1fcf0573d0a6e510934005eb962d2d10aa9ca1b1e337a4a6c982f43085e392e37635b1c435d8db
Homepage: https://cran.r-project.org/package=uniReg
Description: CRAN Package 'uniReg' (Unimodal Penalized Spline Regression using B-Splines)
 Univariate spline regression. It is possible to add the shape constraint of
 unimodality and predefined or self-defined penalties on the B-spline
 coefficients.

Package: r-cran-unisensr
Architecture: all
Version: 0.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-hexview, r-cran-vroom
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unisensr_0.3.4-1.ca2004.1_all.deb
Size: 143068
MD5sum: 414fac75faaac6646964e23a35d7e131
SHA1: bb7882849dc062c4ab89d2c4bb3d01f3cdc73488
SHA256: 0fc839946da3591fa78025aa54f6ff794b2d88b502ad7ec20f7d29ca024954a0
SHA512: ccaae2cd1a79636e59d4483580300297c146288a6cef2f5b4cdeab5ba5b162ecb7ea7ae41af87051ac5fa98b222a50e0f21032d1e6f53b4254880192c8462f5e
Homepage: https://cran.r-project.org/package=unisensR
Description: CRAN Package 'unisensR' (Read 'Unisens' Data)
 Provides the ability to read 'Unisens' data into R. 'Unisens' is a universal
 data format for multi sensor data.

Package: r-cran-uniset
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-easycsv
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uniset_0.3.1-1.ca2004.1_all.deb
Size: 96956
MD5sum: 9af36b0c1123cbe2a377a58891de0680
SHA1: e4603159714a5a45b8cc50186b625c066f472f5e
SHA256: 4b85805c0fa762f28b6560248f63d3726fa24a69c9869a8ce64fb076a8da1c82
SHA512: b041dfd74e9432914956fba705d33d4b24bba9511c86f2c5373daf15efedbe0644442748f1cb6b4a5b3c5452ec73ff73af797ecf631cce491d78178d19be14bf
Homepage: https://cran.r-project.org/package=uniset
Description: CRAN Package 'uniset' (Dynamic Settings File)
 Any package (subsequently called 'target package') is enabled to provide its
 users an easily accessible, user-friendly and human readable text file where
 key=value pairs (used by functions defined in the target package) can be
 saved. This settings file lives in a location defined by the user of the
 target package, and its user-defined values remain unchanged even when the
 author of the target package is introducing or deleting keys, or when the
 target package is updated or re-installed.

Package: r-cran-uniswapper
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lubridate, r-cran-dplyr, r-cran-rlang, r-cran-tidyr, r-cran-scales, r-cran-ggplot2, r-cran-ghql, r-cran-jsonlite, r-cran-reticulate, r-cran-patchwork, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-uniswapper_0.6.1-1.ca2004.1_all.deb
Size: 200940
MD5sum: 5ddc534954ca65c970c336b420f7c1b2
SHA1: abfd92547d5cad24f21ea182de759e6041b83e33
SHA256: aadda8fdc5b3a0804e0522402b364763ba42de9f9a6c505f7639d888fbf2b15a
SHA512: 156f383b786443c6389d3c47ae15d5305ef2fcaf02e481efffc90d193ade3ebee40045cfc21c959c344379ce027562d85e82029fc08edfa52ad7507e4a7af84b
Homepage: https://cran.r-project.org/package=uniswappeR
Description: CRAN Package 'uniswappeR' (Interact with the Uniswap Platform)
 Routines to interact with the Uniswap trading platform and its API
 <https://uniswap.org>.  The package contains codebase to interact with the
 uniswap platform directly from R console, Ability to pull and export data
 related to the platform and analyse some aspects.

Package: r-cran-unitcircle
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-unitcircle_0.1.3-1.ca2004.1_all.deb
Size: 16988
MD5sum: 8c622eb0b21fa5921f9fb73a25fc0919
SHA1: 09c8009eddfaafd9a18ae177b9d74916ca49947e
SHA256: d08ec02b8e7beee69f33e7fe2499e96c00ef32940cb723935a7292008447e482
SHA512: 072c4638a6690c34d3360fa835298d347690064809eccbd908fe52b396d0316215a97f92370e84da1a533a9622ea1b09bf0f10874c99325562e434a6b8b0ae28
Homepage: https://cran.r-project.org/package=UnitCircle
Description: CRAN Package 'UnitCircle' (Check if Roots of a Polynomial Lie Outside the Unit Circle)
 The uc.check() function checks whether the roots of a given polynomial lie
 outside the Unit circle. You can also easily draw an unit circle.

Package: r-cran-unitedr
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 366
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-unitedr_0.4-1.ca2004.1_all.deb
Size: 288212
MD5sum: 055dca6e9ffd112e1674b9905ddb39ce
SHA1: 05989d8be468af8d7f0ac4f77c136e734b8878b6
SHA256: 51cb87ffd5e3534a3ba6686ce58cb33cee5a7a873d21ece767f16bbcbdf93153
SHA512: 7793198cbef3f6872876d5e30a6d3a8834e9861f05848b8b52707cc26e011439a463dff9efef9416a0c3b473dddeea75de4d9a47df7dde05456a4a2258eed234
Homepage: https://cran.r-project.org/package=unitedR
Description: CRAN Package 'unitedR' (Assessment and Evaluation of Formations in United)
 United is a software tool which can be downloaded at the following website
 <http://www.schroepl.net/pbm/software/united/>. In general, it is a virtual
 manager game for football teams. This package contains helpful functions for
 determining an optimal formation for a virtual match in United. E.g. knowing
 that the opponent has a strong defensive it is advisable to beat him in the
 midfield. Furthermore, this package contains functions for computing the
 optimal usage of hardness in a game.

Package: r-cran-unitizer
Architecture: all
Version: 1.4.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1956
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crayon, r-cran-diffobj
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-unitizer_1.4.22-1.ca2004.1_all.deb
Size: 1339308
MD5sum: fb2a70d95fe2e43489df1f8c6ac5f72b
SHA1: 5062b852ed097e394c6f44525175c9bc5ed97bef
SHA256: 97010760b97d321990f2f9bfc2ecc20548d32ed4ae6e1df30f300666e03e34bd
SHA512: d786fa6dcee7fe69bbfc26a5cbaebeaacef15f077d765fb6b10b82b72e5e83115523a6a6e66c64c9d82ee76d83591f15f8a7e23174c9994150254f2a6ab9d0aa
Homepage: https://cran.r-project.org/package=unitizer
Description: CRAN Package 'unitizer' (Interactive R Unit Tests)
 Simplifies regression tests by comparing objects produced by test code with
 earlier versions of those same objects.  If objects are unchanged the tests
 pass, otherwise execution stops with error details.  If in interactive mode,
 tests can be reviewed through the provided interactive environment.

Package: r-cran-unitstat
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lmtest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-unitstat_1.1.0-1.ca2004.1_all.deb
Size: 47380
MD5sum: 44c2d29c04f36aa9b3b04d18e7e14382
SHA1: 8af3bca2f5f71d759b9a63eb4b5cc5d05fb3e548
SHA256: 8d38b1800b87a3bae77617954f9f50fd47a3ee4ea5f5b8cb757cd585099cba4c
SHA512: 9879945ee20766c981b8f73d783bca4d72d9ea7482e9e7ec1928ac41693e1e0b039ef27464eb3964c71fd475cbffa30a2b6b2d2130e62dd184711c90397bdc30
Homepage: https://cran.r-project.org/package=UnitStat
Description: CRAN Package 'UnitStat' (Performs Unit Root Test Statistics)
 A test to understand the stability of the underlying stochastic data. Helps
 the user’s understand whether the random variable under consideration is
 stationary or non-stationary without any manual interpretation of the
 results. It further ensures to check all the prerequisites and assumptions
 which are underlying the unit root test statistics and if the underlying
 data is found to be non-stationary in all the 4 lags the function diagnoses
 the input data and returns with an optimised solution on the same.

Package: r-cran-unittest
Architecture: all
Version: 1.7-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1956
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-unittest_1.7-0-1.ca2004.1_all.deb
Size: 251232
MD5sum: 49cd763d306015ee8d83e716643b10cc
SHA1: f80be6efd7bfe5cdb33a3fd690df524a58ee719e
SHA256: c579e0fcf94e2473a13bdda788e97816392692d3c257e175e12284e295aeaacf
SHA512: 094cfb92d5414121d729e2fece910cc52a2ed764c7ae9418c149ea6939dd1595ff825aee1d43788aac2d836d343735c9d5196981164957fc47a3c235ab089316
Homepage: https://cran.r-project.org/package=unittest
Description: CRAN Package 'unittest' (TAP-Compliant Unit Testing)
 Concise TAP <http://testanything.org/> compliant unit testing package.
 Authored tests can be run using CMD check with minimal implementation
 overhead.

Package: r-cran-unival
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych
Filename: pool/dists/focal/main/r-cran-unival_1.1.0-1.ca2004.1_all.deb
Size: 55236
MD5sum: 692bdd0940946ca88dce1a4189cdaad7
SHA1: 9eb4bc4385eef3495d7c6c6774d336520ed3a8f5
SHA256: 0f9127a69ce21f8059ecd4ccd34d7f2e2fff2207fbbc2a4beb7913324442e194
SHA512: 74c497e1d02722a1c3e8a602df6bf13540828a28f47433434a627f25d76b7ad52a2137a16731bb2c971796958298d9757357cd757b67996c5c6ac2c779b04289
Homepage: https://cran.r-project.org/package=unival
Description: CRAN Package 'unival' (Assessing Essential Unidimensionality Using External ValidityInformation)
 Assess essential unidimensionality using external validity information using
 the procedure proposed by Ferrando & Lorenzo-Seva (2019)
 <doi:10.1177/0013164418824755>. Provides two indices for assessing
 differential and incremental validity, both based on a second-order
 modelling schema for the general factor.

Package: r-cran-univariateml
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 703
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-extradistr, r-cran-tibble, r-cran-logitnorm, r-cran-actuar, r-cran-nakagami, r-cran-fgarch, r-cran-rlang, r-cran-intervals, r-cran-rfast, r-cran-pracma, r-cran-sads
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-copula, r-cran-dplyr, r-cran-covr
Filename: pool/dists/focal/main/r-cran-univariateml_1.5.0-1.ca2004.1_all.deb
Size: 550144
MD5sum: 0e978a3d27dec160276dcc5752dd9c9d
SHA1: 059fdc8fb7da9c3ab1fa296949cc81e3406097ed
SHA256: c2eca2737c6bf56fcfe19a60dbaee6e99ed4dd779385b5ebacd7f0620e9547cd
SHA512: 43d79964f789f30fba8e536816046adb59b28df0444e5ff9727fe276f0ee7261151a482d3729d53fa6d5de09f3487ca8b01acdf731280fc10908196ac5c8e0af
Homepage: https://cran.r-project.org/package=univariateML
Description: CRAN Package 'univariateML' (Maximum Likelihood Estimation for Univariate Densities)
 User-friendly maximum likelihood estimation (Fisher (1921)
 <doi:10.1098/rsta.1922.0009>) of univariate densities.

Package: r-cran-universalcvi
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 665
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-e1071, r-cran-mclust
Filename: pool/dists/focal/main/r-cran-universalcvi_1.2.0-1.ca2004.1_all.deb
Size: 632068
MD5sum: c5d182482f0746e9b2732f7cda2eeeda
SHA1: 43ee0ba88933374d707567143eddd9561d076672
SHA256: 4b162e4a58002716ada0a98e84c7be9fc6c179e2d86536d9929638abc5629486
SHA512: 4f9b0253b34b891034b77af1b4a27dc8de1a23109759955d451d54e27ccaf5f335e15497d8653501fd2bd711a8ca64f8711240cb21742575e76292765ce6fc48
Homepage: https://cran.r-project.org/package=UniversalCVI
Description: CRAN Package 'UniversalCVI' (Hard and Soft Cluster Validity Indices)
 Algorithms for checking the accuracy of a clustering result with known
 classes, computing cluster validity indices, and generating plots for
 comparing them.  The package is compatible with K-means, fuzzy C means, EM
 clustering, and hierarchical clustering (single, average, and complete
 linkage).  The details of the indices in this package can be found in: J. C.
 Bezdek, M. Moshtaghi, T. Runkler, C. Leckie (2016)
 <doi:10.1109/TFUZZ.2016.2540063>, T. Calinski, J. Harabasz (1974)
 <doi:10.1080/03610927408827101>, C. H. Chou, M. C. Su, E. Lai (2004)
 <doi:10.1007/s10044-004-0218-1>, D. L. Davies, D. W. Bouldin (1979)
 <doi:10.1109/TPAMI.1979.4766909>, J. C. Dunn (1973)
 <doi:10.1080/01969727308546046>, F. Haouas, Z. Ben Dhiaf, A. Hammouda, B.
 Solaiman (2017) <doi:10.1109/FUZZ-IEEE.2017.8015651>, M. Kim, R. S.
 Ramakrishna (2005) <doi:10.1016/j.patrec.2005.04.007>, S. H. Kwon (1998)
 <doi:10.1049/EL:19981523>, S. H. Kwon, J. Kim, S. H. Son (2021)
 <doi:10.1049/ell2.12249>, G. W. Miligan (1980) <doi:10.1007/BF02293907>, M.
 K. Pakhira, S. Bandyopadhyay, U. Maulik (2004)
 <doi:10.1016/j.patcog.2003.06.005>, M. Popescu, J. C. Bezdek, T. C. Havens,
 J. M. Keller (2013) <doi:10.1109/TSMCB.2012.2205679>, S. Saitta, B. Raphael,
 I. Smith (2007) <doi:10.1007/978-3-540-73499-4_14>, A. Starczewski (2017)
 <doi:10.1007/s10044-015-0525-8>, Y. Tang, F. Sun, Z. Sun (2005)
 <doi:10.1109/ACC.2005.1470111>, N. Wiroonsri (2024)
 <doi:10.1016/j.patcog.2023.109910>, N. Wiroonsri, O. Preedasawakul (2023)
 <doi:10.48550/arXiv.2308.14785>, C. H. Wu, C. S. Ouyang, L. W. Chen, L. W.
 Lu (2015) <doi:10.1109/TFUZZ.2014.2322495>, X. Xie, G. Beni (1991)
 <doi:10.1109/34.85677> and Rousseeuw (1987) and Kaufman and Rousseeuw(2009)
 <doi:10.1016/0377-0427(87)90125-7> and <doi:10.1002/9780470316801> C. Alok.
 (2010).

Package: r-cran-universals
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-covr, r-cran-nlist, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-universals_0.0.5-1.ca2004.1_all.deb
Size: 69272
MD5sum: d9baf120f033f81d475acb25478b4d3f
SHA1: 57e6620799a7f122935d04fbee15df569df79f11
SHA256: 69df22ae46d9e74b77334012faa4fca8b867ba6dfc458da939c17da093b90a7c
SHA512: 416d721a10a5e20874aa0ea267fb5c3a3adccb0d04b834a1f2f4187e207d176ad8ba5939d007a835b67f4c08a013378662ac10b0449447dfa2ad8e7d294b6c2c
Homepage: https://cran.r-project.org/package=universals
Description: CRAN Package 'universals' (S3 Generics for Bayesian Analyses)
 Provides S3 generic methods and some default implementations for Bayesian
 analyses that generate Markov Chain Monte Carlo (MCMC) samples.  The purpose
 of 'universals' is to reduce package dependencies and conflicts.  The
 'nlist' package implements many of the methods for its 'nlist' class.

Package: r-cran-univoutl
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-robustbase, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-univoutl_0.4-1.ca2004.1_all.deb
Size: 84324
MD5sum: 3d125c9aa25e4cfaef1f5919f3fdddf9
SHA1: 594f42db6db25ff6f980075e6b563383a19468fb
SHA256: ffa26f3f25a8ef89312bf14165df129eb580caf3f1cc5aca6426b1d4637aed39
SHA512: bacee717b9b79a568328cd3ecd4b374c001ac07304ea8eccb41e79d200452d849e0a9a064ebae815b1bb2882a573f2614d104a8f41ebd0572e3ed1dd471e8aa1
Homepage: https://cran.r-project.org/package=univOutl
Description: CRAN Package 'univOutl' (Detection of Univariate Outliers)
 Well known outlier detection techniques in the univariate case. Methods to
 deal with skewed distribution are included too. The Hidiroglou-Berthelot
 (1986) method to search for outliers in ratios of historical data is
 implemented as well. When available, survey weights can be used in outliers
 detection.

Package: r-cran-univrng
Architecture: all
Version: 1.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-univrng_1.2.3-1.ca2004.1_all.deb
Size: 74252
MD5sum: 9fdb23548e83c2f8fef936cad2223806
SHA1: ac68e67163e19907852865e4746ca520a8554d76
SHA256: 44ef2e1557af0c231c63d6e7c4908b6848a448758c4e370e4dff25036dfd905c
SHA512: 0ea7dfbb53fe7558853c63e8e580f2d54280c4e73499f8375810e7be8a9d48105c73d9bd65a2a2fbf9c67a7954aeafa9ed984ed32b01e147f88018a9b0f40ab4
Homepage: https://cran.r-project.org/package=UnivRNG
Description: CRAN Package 'UnivRNG' (Univariate Pseudo-Random Number Generation)
 Pseudo-random number generation of 17 univariate distributions proposed by
 Demirtas. (2005) <DOI:10.22237/jmasm/1114907220>.

Package: r-cran-unjoin
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-tibble
Suggests: r-cran-gapminder, r-cran-tidyr, r-cran-testthat, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-unjoin_0.1.0-1.ca2004.1_all.deb
Size: 13820
MD5sum: 7d74d860b802462a3de61778a0f21e37
SHA1: d22f6eb6a66798ab40895f1a9631ea9008990a7c
SHA256: 900e8d46c6824a896235370353645386e501d8396dde9845ce97ac07d6124c8f
SHA512: 8bf64d2c9eabe954370d17fd1be30fb7e8121718b6e21cac907a47064bcd36a3df47e247aa6de97aeeb33216b7418c5abd84e3d6cb171cabd84a6847a1f99d77
Homepage: https://cran.r-project.org/package=unjoin
Description: CRAN Package 'unjoin' (Separate a Data Frame by Normalization)
 Separate a data frame in two based on key columns. The function unjoin()
 provides an inside-out version of a nested data frame. This is used to
 identify duplication and normalize it (in the database sense) by linking two
 tables with the redundancy removed. This is a basic requirement for
 detecting topology within spatial structures that has motivated the need for
 this package as a building block for workflows within more applied projects.

Package: r-cran-unmconf
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1228
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjags, r-cran-glue, r-cran-janitor, r-cran-coda
Suggests: r-cran-bayesplot, r-cran-posterior, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unmconf_1.0.0-1.ca2004.1_all.deb
Size: 591504
MD5sum: d36b7e0c9499e50961571392739454f0
SHA1: fc8b3b5acd126284fd8d9681adee4fdd6845fca5
SHA256: d0312252ff3a1a2eb4a38ad5dab92511907b8ba6ccd2dbe44093de47ec8aacaa
SHA512: daa4d5bc2d61e45fa7965d98a166d5d7ef2f37cf67d8945ee1ccc7327b7b679678421b9d1d3d1a2504ca13673ae4253350cd8f74932f08a24f7c58ff9fc2160d
Homepage: https://cran.r-project.org/package=unmconf
Description: CRAN Package 'unmconf' (Modeling with Unmeasured Confounding)
 Tools for fitting and assessing Bayesian multilevel regression models that
 account for unmeasured confounders.

Package: r-cran-unpac
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-huge, r-cran-pdsce
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unpac_1.1.1-1.ca2004.1_all.deb
Size: 37844
MD5sum: 85e8f699d69fef2ed52a7361d1260b2a
SHA1: 3fc3f65c14ec79e6331ab527611891a087c671a7
SHA256: 9ff37085e7c0ca1e5381c8d781de9638e8c01b16a7bc73634ccf5102a88dbc9b
SHA512: f1359fa90fa1fbd09adf793089ec724d6f1f54eaf89d843fd11ac5d20b96ba7ff8bba34766854858a0a9f33e0b70750b04c3c9db9fbe61f7415fd1a53fdf2b66
Homepage: https://cran.r-project.org/package=UNPaC
Description: CRAN Package 'UNPaC' (Non-Parametric Cluster Significance Testing with Reference to aUnimodal Null Distribution)
 Assess the significance of identified clusters and estimates the true number
 of clusters by comparing the explained variation due to the clustering from
 the original data to that produced by clustering a unimodal reference
 distribution which preserves the covariance structure in the data. The
 reference distribution is generated using kernel density estimation and a
 Gaussian copula framework. A dimension reduction strategy and sparse
 covariance estimation optimize this method for the high-dimensional,
 low-sample size setting. This method is described in Helgeson, Vock, and
 Bair (2021) <doi:10.1111/biom.13376>.

Package: r-cran-unpivotr
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3653
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-magrittr, r-cran-dplyr, r-cran-forcats, r-cran-purrr, r-cran-tidyr, r-cran-pillar, r-cran-tibble, r-cran-cellranger, r-cran-xml2, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-readr, r-cran-tidyxl, r-cran-readxl, r-cran-stringr, r-cran-htmltools, r-cran-rvest, r-cran-selectr, r-cran-dt, r-cran-testthat, r-cran-covr, r-cran-here
Filename: pool/dists/focal/main/r-cran-unpivotr_0.6.4-1.ca2004.1_all.deb
Size: 3129704
MD5sum: 25b098b2a27a9c7a0d3f62799bb8e3bd
SHA1: b80ffec71f249c960c49716249d720986cb148ff
SHA256: 24e0e58a009e43af0a6ef993238519b8cb313d21c68d7d83268a3c3c707e50b0
SHA512: 242df2be3e93cdb4868dc6d3afc80f2e6f3c3bae4cf5eba78c6e3a74a065df102be23248cdc10cc1b86173811df926dd8b3eed86141acfddf1517f0b55133f9c
Homepage: https://cran.r-project.org/package=unpivotr
Description: CRAN Package 'unpivotr' (Unpivot Complex and Irregular Data Layouts)
 Tools for converting data from complex or irregular layouts to a columnar
 structure.  For example, tables with multilevel column or row headers, or
 spreadsheets.  Header and data cells are selected by their contents and
 position, as well as formatting and comments where available, and are
 associated with one other by their proximity in given directions.  Functions
 for data frames and HTML tables are provided.

Package: r-cran-unplansimon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 821
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-clinfun
Filename: pool/dists/focal/main/r-cran-unplansimon_0.1.0-1.ca2004.1_all.deb
Size: 257428
MD5sum: cc6034083f3c3e2fb46c4965f4631af5
SHA1: 2f892044924534b216befa87a571113e90e53058
SHA256: 24b89a393c23b88907c05aa5be3c01def742b93f3c4311c9df48581f77202e95
SHA512: 35358f850d134ce916e1c02d3ad2a563c7412cf365b88d2031dc7d4113cf6a7cb4009acea4b284cd875e57c3ee981a0daa4aea1640ca3917166373343b25531d
Homepage: https://cran.r-project.org/package=UnplanSimon
Description: CRAN Package 'UnplanSimon' (Methods for Managing Enrollment Deviation in Simon's Two-StageDesign)
 Methods for managing under- and over-enrollment in Simon's Two-Stage Design
 are offered by providing adaptive threshold adjustments and sample size
 recalibration. It also includes post-inference analysis tools to support
 clinical trial design and evaluation. The package is designed to enhance
 flexibility and accuracy in trial design, ensuring better outcomes in
 oncology and other clinical studies. Yunhe Liu, Haitao Pan (2024).
 Submitted.

Package: r-cran-unrepx
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 820
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-unrepx_1.0-2-1.ca2004.1_all.deb
Size: 325464
MD5sum: 9f18cb5518e8e89b70db98ec9abf306f
SHA1: 06d549f8f30d4a51f6d95a8bb127a185bf87d350
SHA256: ffaa728e20e80f0bc91a70113c85bdf7672cd387e00757ef1064fac3c143241a
SHA512: a3f87b054c9e327d61bef4b8f62e0c5cbf093906c966e4eeb1984fe8f214bcca187ed671ac8e58543d9c2406cf2bd7686205a3c88c4312149aa9b121e1d32c7d
Homepage: https://cran.r-project.org/package=unrepx
Description: CRAN Package 'unrepx' (Analysis and Graphics for Unreplicated Experiments)
 Provides half-normal plots, reference plots, and Pareto plots of effects
 from an unreplicated experiment, along with various pseudo-standard-error
 measures, simulated reference distributions, and other tools. Many of these
 methods are described in Daniel C. (1959)
 <doi:10.1080/00401706.1959.10489866> and/or Lenth R.V. (1989)
 <doi:10.1080/00401706.1989.10488595>, but some new approaches are added and
 integrated in one package.

Package: r-cran-unstruwwel
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 400
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-r6, r-cran-assertthat, r-cran-lubridate, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-unstruwwel_0.2.2-1.ca2004.1_all.deb
Size: 357952
MD5sum: 45e6f5a6b9b6d3b3dc277070ac9ab480
SHA1: b279adfd694e49836b084bcb86f216836c232097
SHA256: 7b8dc072dc2f2b69e891664cca137e0925abc8f3804d3dfcf6256fae2493a106
SHA512: 899969da4dfdcf530358158a498a4edcfaf351692ae36297e8188d47bb16ca58798841229577c287c010b0e36187a671ed6f50214d999cee9203ae87e9697157
Homepage: https://cran.r-project.org/package=unstruwwel
Description: CRAN Package 'unstruwwel' (Detect and Parse Historic Dates)
 Automatically converts language-specific verbal information, e.g., "1st half
 of the 19th century," to its standardized numerical counterparts, e.g.,
 "1801-01-01/1850-12-31." It follows the recommendations of the 'MIDAS'
 ('Marburger Informations-, Dokumentations- und Administrations-System'), see
 <doi:10.11588/artdok.00003770>.

Package: r-cran-untb
Architecture: all
Version: 1.7-7-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3733
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brobdingnag, r-cran-partitions, r-cran-polynom
Suggests: r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-untb_1.7-7-1-1.ca2004.1_all.deb
Size: 3710516
MD5sum: 6e28cadd77abb913be67c79b6be62151
SHA1: 3f317cd229afe7c5ac51bb1a56f1d0d3e0e5e280
SHA256: 266acb17b6ed7a963bbccf9f5e914e61dfbcd4ab152f5d22d3110df80e7326f4
SHA512: 623be1de4a742563bb7c1146bf606004df2f4ffdedfd30e64c7a036329418a391be9beaef70b70b6f92936e839b53dfed6f1e1ecee2365cca9bca5087c6db409
Homepage: https://cran.r-project.org/package=untb
Description: CRAN Package 'untb' (Ecological Drift under the UNTB)
 Hubbell's Unified Neutral Theory of Biodiversity.

Package: r-cran-unusualprofile
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggnormalviolin, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-bookdown, r-cran-covr, r-cran-extrafont, r-cran-forcats, r-cran-glue, r-cran-kableextra, r-cran-knitr, r-cran-lavaan, r-cran-lifecycle, r-cran-mvtnorm, r-cran-patchwork, r-cran-ragg, r-cran-rmarkdown, r-cran-roxygen2, r-cran-scales, r-cran-simstandard, r-cran-stringr, r-cran-sysfonts, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-unusualprofile_0.1.4-1.ca2004.1_all.deb
Size: 339140
MD5sum: eedbb12b83e8efcaed68f162664e2840
SHA1: 1595a759e1b1b8c720480ea6efa8065f6ea31645
SHA256: f699715de880986ae5e99e5f82ecc23f81032901866a6f88af18bc100f881cc1
SHA512: 4355c9663429e7eda71e213489d95889a9bab067528f6498f49ef49d28514e122db6bbcb1cfa05d59a2d34b5c8ca82bb888140f131ca0a995d28cb2f997c6c3f
Homepage: https://cran.r-project.org/package=unusualprofile
Description: CRAN Package 'unusualprofile' (Calculates Conditional Mahalanobis Distances)
 Calculates a Mahalanobis distance for every row of a set of outcome
 variables (Mahalanobis, 1936 <doi:10.1007/s13171-019-00164-5>). The
 conditional Mahalanobis distance is calculated using a conditional
 covariance matrix (i.e., a covariance matrix of the outcome variables after
 controlling for a set of predictors). Plotting the output of the cond_maha()
 function can help identify which elements of a profile are unusual after
 controlling for the predictors.

Package: r-cran-unvotes
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1056
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-dplyr, r-cran-readxl, r-cran-countrycode, r-cran-tidyr, r-cran-lubridate, r-cran-devtools, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-unvotes_0.3.0-1.ca2004.1_all.deb
Size: 913740
MD5sum: 26959f1c841030909203aa0d20ce7966
SHA1: 881aa941fbafbe319735100571f5c644284beec5
SHA256: 55ca8bf384ce448e3943bf5954112289d31e1b02b58a7460d7be9c828a89f675
SHA512: b3b4496080f4b76e46ff5c29409c3aafa031ccb33e507f1ec33f16a717fa808a6da6c733a66d798ce8b51b9d75369146df7588e018262e28449079d4429b8116
Homepage: https://cran.r-project.org/package=unvotes
Description: CRAN Package 'unvotes' (United Nations General Assembly Voting Data)
 Historical voting data of the United Nations General Assembly. This includes
 votes for each country in each roll call, as well as descriptions and topic
 classifications for each vote.

Package: r-cran-unvs.med
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 158
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-data.table, r-cran-snowfall
Suggests: r-cran-fixest, r-cran-lme4, r-cran-mass, r-cran-ordinal, r-cran-pglm
Filename: pool/dists/focal/main/r-cran-unvs.med_1.0.0-1.ca2004.1_all.deb
Size: 125516
MD5sum: f92d4b69ccb23aa65bfb6567fe15ccca
SHA1: b58734c95edab3e7758581862d8f87302a470070
SHA256: 4f318ebb69651ea209ddc6498364701970180686a5f78b6c9c784064cdc1aacd
SHA512: 06646ad1d14d48a95d0db2162b36a75ec37ae16184bf064cfb434cb5c8391a61d8664f7c9e31d4ba566c104c28c6018beb2bfeeb3ec5276497a21c7732450b38
Homepage: https://cran.r-project.org/package=unvs.med
Description: CRAN Package 'unvs.med' (A Universal Approach for Causal Mediation Analysis)
 This program realizes a universal estimation approach that accommodates
 multi-category variables and effect scales, making up for the deficiencies
 of the existing approaches when dealing with non-binary exposures and
 complex models. The estimation via bootstrapping can simultaneously provide
 results of causal mediation on risk difference (RD), odds ratio (OR) and
 risk ratio (RR) scales with tests of the effects' difference.  The
 estimation is also applicable to many other settings, e.g., moderated
 mediation, inconsistent covariates, panel data, etc. The high flexibility
 and compatibility make it possible to apply for any type of model, greatly
 meeting the needs of current empirical researches.

Package: r-cran-uotm
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-boot, r-cran-forecast, r-cran-ggplot2, r-cran-hash
Filename: pool/dists/focal/main/r-cran-uotm_0.1.6-1.ca2004.1_all.deb
Size: 33732
MD5sum: b50dcc36ef31181917e7fab073b380d1
SHA1: df204566508a5f939af1f5c78764a626f5bbd1de
SHA256: 91ba83d57534918fd5d228fad52209dd8f4d6c28fc994a2e2038f734e3689650
SHA512: fee8483381a049298da3635ce358bcad1b3d4491bf791ffce9f0e19a187256b6d82031473c4f9582d5f28177fa21a27335a863fcfcc4daa221f66344c5e2b8d2
Homepage: https://cran.r-project.org/package=uotm
Description: CRAN Package 'uotm' (Uncertainty of Time Series Model Selection Methods)
 We propose a new procedure, called model uncertainty variance, which can
 quantify the uncertainty of model selection on Autoregressive Moving Average
 models. The model uncertainty variance not pay attention to the accuracy of
 prediction, but focus on model selection uncertainty and providing more
 information of the model selection results. And to estimate the model
 measures, we propose an simplify and faster algorithm based on bootstrap
 method, which is proven to be effective and feasible by Monte-Carlo
 simulation. At the same time, we also made some optimizations and
 adjustments to the Model Confidence Bounds algorithm, so that it can be
 applied to the time series model selection method. The consistency of the
 algorithm result is also verified by Monte-Carlo simulation. We propose a
 new procedure, called model uncertainty variance, which can quantify the
 uncertainty of model selection on Autoregressive Moving Average models. The
 model uncertainty variance focuses on model selection uncertainty and
 providing more information of the model selection results. To estimate the
 model uncertainty variance, we propose an simplified and faster algorithm
 based on bootstrap method, which is proven to be effective and feasible by
 Monte-Carlo simulation. At the same time, we also made some optimizations
 and adjustments to the Model Confidence Bounds algorithm, so that it can be
 applied to the time series model selection method. The consistency of the
 algorithm result is also verified by Monte-Carlo simulation. Please see
 Li,Y., Luo,Y., Ferrari,D., Hu,X. and Qin,Y. (2019) Model Confidence Bounds
 for Variable Selection. Biometrics, 75:392-403.<DOI:10.1111/biom.13024> for
 more information.

Package: r-cran-upanddownplots
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyverse, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-gridextra, r-cran-ggthemes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-upanddownplots_0.5.0-1.ca2004.1_all.deb
Size: 764992
MD5sum: 0eed4ac9afc7cf05dbb6ff714d9cbd5d
SHA1: bcd538212de7cbba0e433e805b534f5a974b7ad2
SHA256: ae6e64eb500dd74fc740da08724836d24f685aeb71859a694cfda1f0128e36b1
SHA512: 5db38f4377b0672b4bd6abd41f5a55628855a8aaed89e88ac3531eff7cc68afd3cbbcbdf030de3fe00ad7d8b5a284e993d905093648d08b99552107e854ad627
Homepage: https://cran.r-project.org/package=UpAndDownPlots
Description: CRAN Package 'UpAndDownPlots' (Displays Percentage and Absolute Changes)
 Displays percentage changes by height and absolute changes by area for up to
 three nested or non-nested levels. The plots visualise changes in indices
 and markets, showing how the changes for sectors or for individual
 components contribute to the overall change. Data can be classified by up to
 three levels of grouping variables in a layered, hierarchical plot. Each
 level can be ordered in several ways including by baseline, by percentage
 change, and by absolute change. The vignettes give examples.

Package: r-cran-updateme
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cachem, r-cran-cli, r-cran-curl, r-cran-memoise, r-cran-rlang
Suggests: r-cran-biocmanager, r-cran-gitcreds, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-updateme_0.1.0-1.ca2004.1_all.deb
Size: 85356
MD5sum: 92917acd33f545cd83cda1fb5d6522ce
SHA1: 28c1cd18be0d334581c55dd8fe6afd01ce1a3858
SHA256: 61925d60fcccf19ae69f0493211bcec26e5d6ae5ed4b325556010e26dac90b49
SHA512: b6a89c5608b59d0ddaf5fda5c571a135e3cbc8bf59a7d1af73c7f77480e3d2aef29b6372e52d801d7ce644c659b9734e747e8b89de7827f11a3f653dbbc5b3e7
Homepage: https://cran.r-project.org/package=updateme
Description: CRAN Package 'updateme' (Informative Messages About Outdated Packages)
 When a package is loaded, the source repository is checked for new versions
 and a message is shown in the console indicating whether the package is out
 of date.

Package: r-cran-updater
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-renv
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-updater_0.1.2-1.ca2004.1_all.deb
Size: 82392
MD5sum: 5b5a82bd14dbd9117972c235ce0b2553
SHA1: 19cab11695d68780a0ba70be596262fa70998d1b
SHA256: fe6ff211de10445d828b0a9559c5e1b8b72b0b93ab13606ce2ae754a95d84dad
SHA512: f82af8a948d51b73a644ddceb3e961b7b0a6a515e534c4e678d3e0cfb99abcd7fa56321568fec45ae45907fba0d1b5771a01cc5b4ed636fed29fb72839dfccf5
Homepage: https://cran.r-project.org/package=updater
Description: CRAN Package 'updater' (Utilities for Updating R)
 When updating major or minor R versions all packages should be re-installed.
 The utilities in this package assist in getting a user up-and-running again
 by installing all previously installed R packages. The package uses 'renv'
 to install; immediately replenishing your 'renv' package cache.

Package: r-cran-updown
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1949
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-mixtools, r-cran-mclust, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-updown_1.2.1-1.ca2004.1_all.deb
Size: 1961972
MD5sum: f4cb32e6f3462af87f0b7506b346e251
SHA1: b14bf5c6f5eb14250034c950be3eaaa186e0e234
SHA256: 0805f058182738928a4103c6298ed2754a7ff705d92305d93b133e1960bb41d8
SHA512: 7d392fba7e3797a1bacc7f29ec3c6013ad5500b7efb2f038edd1d2c51cb5109f6324e0db8b51ddfed992304b5d0e6f76d5a96f364a15c7fa8855d263546f8217
Homepage: https://cran.r-project.org/package=UpDown
Description: CRAN Package 'UpDown' (Detecting Group Disturbances from Longitudinal Observations)
 Provides an algorithm to detect and characterize disturbances (start, end
 dates, intensity) that can occur at different hierarchical levels by
 studying the dynamics of longitudinal observations at the unit level and
 group level based on Nadaraya-Watson's smoothing curves, but also a shiny
 app which allows to visualize the observations and the detected
 disturbances. Finally the package provides a dataframe mimicking a pig
 farming system subsected to disturbances simulated according to Le et
 al.(2022) <doi:10.1016/j.animal.2022.100496>.

Package: r-cran-upg
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 656
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-knitr, r-cran-matrixstats, r-cran-mnormt, r-cran-pgdraw, r-cran-reshape2, r-cran-coda, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-upg_0.3.5-1.ca2004.1_all.deb
Size: 565196
MD5sum: 529a3c32c9d667922db913541e8056f5
SHA1: 785cf00788b43665c6b1b26c022ea8c5972dcb04
SHA256: b5c30c94bbf27fb55edcb39094611f1b2bc11b06ab37305c87057af9cd3b630f
SHA512: 4db85f2e8cba7494b7ce6ba8156c2c051b5661b2b9bf64988b28637b07a582330f8dadda934981aaea59badeb72520c1d9b150669d12ec1d4b8f3f78ec732aa3
Homepage: https://cran.r-project.org/package=UPG
Description: CRAN Package 'UPG' (Efficient Bayesian Algorithms for Binary and Categorical DataRegression Models)
 Efficient Bayesian implementations of probit, logit, multinomial logit and
 binomial logit models. Functions for plotting and tabulating the estimation
 output are available as well. Estimation is based on Gibbs sampling where
 the Markov chain Monte Carlo algorithms are based on the latent variable
 representations and marginal data augmentation algorithms described in
 "Gregor Zens, Sylvia Frühwirth-Schnatter & Helga Wagner (2023). Ultimate
 Pólya Gamma Samplers – Efficient MCMC for possibly imbalanced binary and
 categorical data, Journal of the American Statistical Association
 <doi:10.1080/01621459.2023.2259030>".

Package: r-cran-upmask
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3443
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-rsqlite, r-cran-dbi, r-cran-dimred, r-cran-loe
Filename: pool/dists/focal/main/r-cran-upmask_1.2-1.ca2004.1_all.deb
Size: 2224008
MD5sum: 57bade09a4f354a9b43cb5b4dedf0a4f
SHA1: 918d4d49b44541683937d5d8103ecd8f96f89b7a
SHA256: cf14e90c3bc1a70a575997535ca93fd3614a664a4d12a51f1eb7b5f647b16e57
SHA512: 221568f2b341960b304a059c2a10cd8b1fba87983c2f81b05e352e8173a5fc951206bbf70414f8484a6dc6585323963fc89c051f318cf9a08a905e3768145750
Homepage: https://cran.r-project.org/package=UPMASK
Description: CRAN Package 'UPMASK' (Unsupervised Photometric Membership Assignment in StellarClusters)
 An implementation of the UPMASK method for performing membership assignment
 in stellar clusters in R. It is prepared to use photometry and spatial
 positions, but it can take into account other types of data. The method is
 able to take into account arbitrary error models, and it is unsupervised,
 data-driven, physical-model-free and relies on as few assumptions as
 possible. The approach followed for membership assessment is based on an
 iterative process, dimensionality reduction, a clustering algorithm and a
 kernel density estimation.

Package: r-cran-upndown
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 362
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cir, r-cran-expm, r-cran-mass, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-upndown_0.3.0-1.ca2004.1_all.deb
Size: 235408
MD5sum: 2b03aa7452a3c4e12718b4fdfe96044e
SHA1: 771b671367fa37aeb8dd55b4d6187f802d7f162c
SHA256: 4addfa326811076446fd4eeeb7b92c811d371608f2809329f904f24ac46d2ece
SHA512: e8b1a86f7984de5fd7d54b192deaa9a2317794804aff35aea7b73b66323ce2af31f438fb84a8ccac57c6965a263b5b70b5e650f9bb48216af8008cb6ce5803f5
Homepage: https://cran.r-project.org/package=upndown
Description: CRAN Package 'upndown' (Utilities and Design Aids for Up-and-Down Dose-Finding Studies)
 Up-and-Down (UD) is the most popular design approach for dose-finding, but
 it has been severely under-served by the statistical and computing
 communities. This is the first package that comprehensively addresses UD's
 needs. Recent applied UD tutorial: Oron et al., 2022
 <doi:10.1097/ALN.0000000000004282>. Recent methodological overview: Oron and
 Flournoy, 2024 <doi:10.51387/24-NEJSDS74>.

Package: r-cran-upset.hp
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mumin, r-cran-vegan, r-cran-glmm.hp, r-cran-ggplot2, r-cran-patchwork
Filename: pool/dists/focal/main/r-cran-upset.hp_0.0.2-1.ca2004.1_all.deb
Size: 37356
MD5sum: 94785d8563dfdb81c0e8ca7192fee41f
SHA1: 2466006dc47004daa5f829cd5bff064a61e0906d
SHA256: 6f652149b7d835476cec499115f1502a8cd025195cad479b054b4d466b0e0a1c
SHA512: 9d337d1e0042b00d48b783f3c4dc51de51ae22e1b01faa1ece4cd9f74f6e4249d0de13b24a41dd9593a14af105a740adea3a8168bc437ffc9c68c2319737d9bd
Homepage: https://cran.r-project.org/package=upset.hp
Description: CRAN Package 'upset.hp' (Generate UpSet Plots of VP and HP Based on the ASV Concept)
 Using matrix layout to visualize the unique, common, or individual
 contribution of each predictor (or matrix of predictors) towards explained
 variation on different models. These contributions were derived from
 variation partitioning (VP) and hierarchical partitioning (HP), applying the
 algorithm of "Lai et al. (2022) Generalizing hierarchical and variation
 partitioning in multiple regression and canonical analyses using the
 rdacca.hp R package.Methods in Ecology and Evolution, 13: 782-788
 <doi:10.1111/2041-210X.13800>".

Package: r-cran-upsetjs
Architecture: all
Version: 1.11.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2603
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-crosstalk, r-cran-rmarkdown, r-cran-formatr, r-cran-tibble, r-cran-testthat, r-cran-styler, r-cran-lintr, r-cran-pkgdown
Filename: pool/dists/focal/main/r-cran-upsetjs_1.11.1-1.ca2004.1_all.deb
Size: 299808
MD5sum: d24388ae8481e88df5b6d31d6974d9d3
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Homepage: https://cran.r-project.org/package=upsetjs
Description: CRAN Package 'upsetjs' ('HTMLWidget' Wrapper of 'UpSet.js' for Exploring Large SetIntersections)
 'UpSet.js' is a re-implementation of 'UpSetR' to create interactive set
 visualizations for more than three sets.  This is a 'htmlwidget' wrapper
 around the 'JavaScript' library 'UpSet.js'.

Package: r-cran-upsetr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8242
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra, r-cran-plyr, r-cran-scales
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-upsetr_1.4.0-1.ca2004.1_all.deb
Size: 3203880
MD5sum: 0678b930a8fe3fdd5487a28005f1c965
SHA1: aa7bbbd41ea0ab348cefe2a883c64e7ceaec0c77
SHA256: f82f1b423c0a8d3b6db9763d8f0f415abd81100c1c19e1b98a12929958e15087
SHA512: 54fd15853d56c0124f34b51dae370341b91bfb637645c741f72eac1f80aa24a5f660f2a3513c209f597b202282e4b5aa54838d8e1d02cc1c7b093aa26668713d
Homepage: https://cran.r-project.org/package=UpSetR
Description: CRAN Package 'UpSetR' (A More Scalable Alternative to Venn and Euler Diagrams forVisualizing Intersecting Sets)
 Creates visualizations of intersecting sets using a novel matrix design,
 along with visualizations of several common set, element and attribute
 related tasks (Conway 2017) <doi:10.1093/bioinformatics/btx364>.

Package: r-cran-upsetvp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rdacca.hp, r-cran-ggplot2, r-cran-patchwork
Suggests: r-cran-adespatial
Filename: pool/dists/focal/main/r-cran-upsetvp_1.0.0-1.ca2004.1_all.deb
Size: 122584
MD5sum: 32ea3166df4c6811107391b31dc12a55
SHA1: fd7ec0759330466e63106d7d5b02736f423acf49
SHA256: 434d56c53aca66a3c2e20445cf8c567b0a2d07c13a7b328ffe96f6053ff5c0d3
SHA512: 5f33fd6e14440b77d09cef84010cbae4920a624d423b177e0908e425e0a1765728e0938d7997ff661a558d3b6340bbd5efed244e2a52557879b2d5a9923db69c
Homepage: https://cran.r-project.org/package=UpSetVP
Description: CRAN Package 'UpSetVP' (An Alternative Visualization of VPA and HP in Canonical Analysis)
 Using matrix layout to visualize the unique, common, or individual
 contribution of each predictor (or matrix of predictors) towards explained
 variation on canonical analysis. These contributions were derived from
 variance partitioning analysis (VPA) and hierarchical partitioning (HP),
 applying the algorithm of Lai J., Zou Y., Zhang J., Peres-Neto P. (2022)
 Generalizing hierarchical and variation partitioning in multiple regression
 and canonical analyses using the rdacca.hp R package.Methods in Ecology and
 Evolution, 13: 782-788 <doi:10.1111/2041-210X.13800>.

Package: r-cran-upstartr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-here, r-cran-stringr, r-cran-readxl, r-cran-magrittr, r-cran-readr, r-cran-purrr, r-cran-ggplot2, r-cran-glue, r-cran-dplyr, r-cran-librarian, r-cran-openxlsx, r-cran-knitr, r-cran-beepr, r-cran-tidytext, r-cran-scales, r-cran-rmarkdown, r-cran-textclean, r-cran-sf, r-cran-tgamtheme, r-cran-crayon
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-upstartr_0.1.2-1.ca2004.1_all.deb
Size: 145060
MD5sum: db4e0049780b21db0d9cd6044d001ed3
SHA1: 30ca72863a64aaa883f1ca60eabcff1396d0df0e
SHA256: b9586381960a37a40506bbd9b31ed631a4f28dde4eea0117c932f2ac884d02c7
SHA512: c69811012be6bf3e7cfedb11cd838331fc21ef115e3857af1c48f6f3b0f47aa524047314010daeee7381ef15d08635878358037ddf0053027850a73653e11bfb
Homepage: https://cran.r-project.org/package=upstartr
Description: CRAN Package 'upstartr' (Utilities Powering the Globe and Mail's Data Journalism Template)
 Core functions necessary for using The Globe and Mail's R data journalism
 template, 'startr', along with utilities for day-to-day data journalism
 tasks, such as reading and writing files, producing graphics and cleaning up
 datasets.

Package: r-cran-upsvarapprox
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-upsvarapprox_0.1.4-1.ca2004.1_all.deb
Size: 69236
MD5sum: 86ae12b451b2f396ea9339f6cfbfa099
SHA1: f9c3d8aa2d2c766d686d3ec7f68a57bb16342cb9
SHA256: 67527bfba79e99f028fea442e31a2d8d7c2e0f00fd2da9cfea8d5d8690b0d32a
SHA512: 74e0b17017bcc889577a7c637e6dbf1b5a73aa81ca2d860034965a0c52bb4f7d6f0846eeb2022e5b08b3de315bae23f15b39094cdacba75ea5ce744675b2d650
Homepage: https://cran.r-project.org/package=UPSvarApprox
Description: CRAN Package 'UPSvarApprox' (Approximate the Variance of the Horvitz-Thompson Total Estimator)
 Variance approximations for the Horvitz-Thompson total estimator in Unequal
 Probability Sampling using only first-order inclusion probabilities.  See
 Matei and Tillé (2005) and Haziza, Mecatti and Rao (2008) for details.

Package: r-cran-uptasticsearch
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-data.table, r-cran-futile.logger, r-cran-jsonlite, r-cran-purrr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uptasticsearch_1.0.0-1.ca2004.1_all.deb
Size: 100636
MD5sum: 3cba4681668ce8788053402452fbbe40
SHA1: 006e14b583039822240d7ece27d768ea3488d884
SHA256: bb0772baae0e15db0876119815fbf923fdb17ed185dcec3dd3d754f508597eb7
SHA512: 2b8311943d25925167e2a03224cea617b290c09487bfbf4273b1d46fc84d09d1afbcc67d3b96df84837e6ddd7c55e05cbd5b3240a8692dd63eac0cc88c20a585
Homepage: https://cran.r-project.org/package=uptasticsearch
Description: CRAN Package 'uptasticsearch' (Get Data Frame Representations of 'Elasticsearch' Results)
 'Elasticsearch' is an open-source, distributed, document-based datastore
 (<https://www.elastic.co/products/elasticsearch>).  It provides an 'HTTP'
 'API' for querying the database and extracting datasets, but that 'API' was
 not designed for common data science workflows like pulling large batches of
 records and normalizing those documents into a data frame that can be used
 as a training dataset for statistical models. 'uptasticsearch' provides an
 interface for 'Elasticsearch' that is explicitly designed to make these data
 science workflows easy and fun.

Package: r-cran-uptimerobot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-rcurl, r-cran-plyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-uptimerobot_1.0.0-1.ca2004.1_all.deb
Size: 76636
MD5sum: 72c3e41fb09e25068583fb693ba780b7
SHA1: bbabd540aad14be8fe6d7ac0f7c7bf13ea7f2ad3
SHA256: 1b552c20f36db4bd5d68db8747435c224dc532f491c0baf60b2c751600a8b3f0
SHA512: d5921c9c1a6cb4f83f4d7188692cc8f287b88d33cd21c52b1c94cbcea2f2ac3a0f8b129e0da62135fedd7133fc625c64e8e13bf29cd25e6e93ad22b74e9607c0
Homepage: https://cran.r-project.org/package=uptimeRobot
Description: CRAN Package 'uptimeRobot' (Access the UptimeRobot Ping API)
 Provide a set of wrappers to call all the endpoints of UptimeRobot API which
 includes various kind of ping, keep-alive and speed tests.  See
 <https://uptimerobot.com/> for more information.

Package: r-cran-ura
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-irr, r-cran-magrittr, r-cran-rlang, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-roxygen2, r-cran-stringr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ura_1.0.1-1.ca2004.1_all.deb
Size: 31004
MD5sum: 1d315b4a9384e07126f6a816c5afe6a2
SHA1: 94ca6d4e92832715b2cc73aa1fd6e551c78a1a53
SHA256: 4bd5601a7f22e31f52e0bc7590803f40428d9f959bbdc7e9007e6e110f438503
SHA512: ffbe9bbb47ec28141dcdbc4d686abbe5115c270e42f02826f7918ca00e5ef5b73b756dac88d1c2a3993d8400952c85ddbfbbd5a56ffff70ffc2a649418f6d27c
Homepage: https://cran.r-project.org/package=ura
Description: CRAN Package 'ura' (Monitoring Rater Reliability)
 Provides researchers with a simple set of diagnostic tools for monitoring
 the progress and reliability of raters conducting content coding tasks.
 Goehring (2024)
 <https://bengoehring.github.io/improving-content-analysis-tools-for-working-with-undergraduate-research-assistants.pdf>
 argues that supervisors---especially supervisors of small teams---should
 utilize computational tools to monitor reliability in real time. As such,
 this package provides easy-to-use functions for calculating inter-rater
 reliability statistics and measuring the reliability of one coder compared
 to the rest of the team.

Package: r-cran-urbin
Architecture: all
Version: 0.1-14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1389
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-sampleselection, r-cran-maxlik, r-cran-mfx, r-cran-mlogit, r-cran-mass, r-cran-mvprobit, r-cran-knitr, r-cran-stargazer
Filename: pool/dists/focal/main/r-cran-urbin_0.1-14-1.ca2004.1_all.deb
Size: 987056
MD5sum: f4dbb7a11e0e353fbdc53cb21c592d02
SHA1: 719d3ccae3fdeeee22ae28325190fcf30617f28e
SHA256: 43da0bc38cedc6894580f9f72f961ecbbb4144bf207aa1b0c28e6e4a03ada01e
SHA512: b974474211257ad2add594ce3ea826ecdc03d64e7ed3d886dd5a696cb551de1e2670cbf85ada4a670d54f778fd7846343e2a04dbe49dd9f9e5070eb544fe48f4
Homepage: https://cran.r-project.org/package=urbin
Description: CRAN Package 'urbin' (Unifying Estimation Results with Binary Dependent Variables)
 Calculate unified measures that quantify the effect of a covariate on a
 binary dependent variable (e.g., for meta-analyses).  This can be
 particularly important if the estimation results are obtained with different
 models/estimators (e.g., linear probability model, logit, probit, ...)
 and/or with different transformations of the explanatory variable of
 interest (e.g., linear, quadratic, interval-coded, ...).  The calculated
 unified measures are: (a) semi-elasticities of linear, quadratic, or
 interval-coded covariates and (b) effects of linear, quadratic,
 interval-coded, or categorical covariates when a linear or quadratic
 covariate changes between distinct intervals, the reference category of a
 categorical variable or the reference interval of an interval-coded variable
 needs to be changed, or some categories of a categorical covariate or some
 intervals of an interval-coded covariate need to be grouped together.
 Approximate standard errors of the unified measures are also calculated.
 All methods that are implemented in this package are described in the
 'vignette' "Extracting and Unifying Semi-Elasticities and Effect Sizes from
 Studies with Binary Dependent Variables" that is included in this package.

Package: r-cran-urlchecker
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-curl, r-cran-xml2
Suggests: r-cran-covr
Filename: pool/dists/focal/main/r-cran-urlchecker_1.0.1-1.ca2004.1_all.deb
Size: 33216
MD5sum: 0a3fc2c9acef8dae6e9b227e56efd458
SHA1: 4b2dafe27bac337400dd8049e332aaac9cfb14cb
SHA256: f9b7fefd25c0fd35c6a5177993f841c63dff8bac67c6e21f857ccb8c466f1f95
SHA512: b73f69a971777f5a2f6f51b01278e45f4998a41626a31e1b63408195d35d6159a1f60be18e6cad6a05e1563e9d1bb7ed37f6ba0eca1ea3e2402050e630337a53
Homepage: https://cran.r-project.org/package=urlchecker
Description: CRAN Package 'urlchecker' (Run CRAN URL Checks from Older R Versions)
 Provide the URL checking tools available in R 4.1+ as a package for earlier
 versions of R. Also uses concurrent requests so can be much faster than the
 serial versions.

Package: r-cran-urlshortener
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 265
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-stringr, r-cran-lubridate, r-cran-assertthat, r-cran-shiny, r-cran-clipr, r-cran-miniui, r-cran-cli
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-httpuv, r-cran-stringi, r-cran-covr, r-cran-lintr, r-cran-dotenv
Filename: pool/dists/focal/main/r-cran-urlshortener_2.0.0-1.ca2004.1_all.deb
Size: 199880
MD5sum: 3379eb57de3259046ffbcc35b6ee79e1
SHA1: c3e1afd9028f0d4382e98ecb15727a050b25b4cf
SHA256: abb4bd96b5f47b9b934cb342ea4b9434ac0762b6e2e4b322aebbb761821c93cc
SHA512: 1790d255e49752fa8b61aa7015af97c01ec0372024fb9bd9a0478d88ffc350cf4a89e88d522c299c44878b65e9e510d4cb381585bc21dd5b10150e0754eb5f90
Homepage: https://cran.r-project.org/package=urlshorteneR
Description: CRAN Package 'urlshorteneR' (R Wrapper for the 'Bit.ly' and 'Is.gd'/'v.gd' URL ShorteningServices)
 Allows using two URL shortening services, which also provide expanding and
 analytic functions. Specifically developed for 'Bit.ly' (which requires
 OAuth 2.0) and 'is.gd' (no API key).

Package: r-cran-uroot
Architecture: all
Version: 2.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1926
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-uroot_2.1-3-1.ca2004.1_all.deb
Size: 1929144
MD5sum: ccb69d3d36fcfdcd9a94a47d1fee825f
SHA1: ca482fc92eba175410ca2a78599472ade3c70b2b
SHA256: debd7c872ad2ff5e8ae3acf8a320f82afbaee297a377dac90d648521020d51de
SHA512: 6f5d8b38e4e11974238c52581fd9f6a2f4dba96fc5a9a4070273142e72a9fda89d04e757b00ac1f55fe63b48b5d442d7813f9af2b5eb160cc92426319efe755f
Homepage: https://cran.r-project.org/package=uroot
Description: CRAN Package 'uroot' (Unit Root Tests for Seasonal Time Series)
 Seasonal unit roots and seasonal stability tests.  P-values based on
 response surface regressions are available for both tests.  P-values based
 on bootstrap are available for seasonal unit root tests.

Package: r-cran-urootab
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-eviewsr, r-cran-knitr, r-cran-magrittr, r-cran-xts, r-cran-zoo
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-urootab_0.1.0-1.ca2004.1_all.deb
Size: 33256
MD5sum: 436f0b5d501f29a055dd3e3b4cc828f8
SHA1: 986e2ba81a81802d3a734d74ce6da2df6adcdb50
SHA256: 8193129a3153ebe8bc4b516a06c0006110f523631746609faf07ef006fc154e9
SHA512: 7f113c8241aef1e3e4d022c6c6bbf49177a32599b8c752c446763c849b3efcbbc617237819047d4920ca39d56fe3f907cd558f1f07a97c6add42c47e679a81f2
Homepage: https://cran.r-project.org/package=URooTab
Description: CRAN Package 'URooTab' (Tabular Reporting of 'EViews' Unit Root Tests)
 Conduct unit root tests based on 'EViews' (<https://eviews.com>) routines
 and report them in tables. 'EViews' (Econometric Views) is a commercial
 software for econometrics.

Package: r-cran-us.census.geoheader
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-us.census.geoheader_1.0.2-1.ca2004.1_all.deb
Size: 265416
MD5sum: 20e441feae0496204026e023de6a51aa
SHA1: 6fe80bde3121930f8bf9337ef38a758f20a5ed53
SHA256: 5b50fc4a258b58be5a8d6d1cf118a3d935265ff4a1f4827bbbc8d4dc5facefc1
SHA512: c9d1cc61daa4f8d3848820399d8b00bfb9f22c3c250d261bf43ac816e25dbf7e36a2827371e7f11de7763aea2c303771a348740d7e8025260debde0851605b7c
Homepage: https://cran.r-project.org/package=us.census.geoheader
Description: CRAN Package 'us.census.geoheader' (US 2010 Census SF2 Geographic Header Summary Levels 010-050)
 A simple interface to the Geographic Header information from the "2010 US
 Census Summary File 2".  The entire Summary File 2 is described at
 <https://catalog.data.gov/dataset/census-2000-summary-file-2-sf2>, but note
 that this package only provides access to parts of the geographic header
 ('geoheader') of the file.  In particular, only the first 101 columns of the
 geoheader are included and, more importantly, only rows with summary levels
 (SUMLEVs) 010 through 050 (nation down through county level) are included.
 In addition to access to (part of) the geoheader, the package also provides
 a decode function that takes a column name and value and, for certain
 columns, returns "the meaning" of that column (i.e., a "SUMLEV" value of 40
 means "State"); without a value, the decode function attempts to describe
 the column itself.

Package: r-cran-usa.state.boundaries
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6207
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-spelling, r-cran-sf, r-cran-install.load, r-cran-drat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-usa.state.boundaries_1.0.1-1.ca2004.1_all.deb
Size: 6317124
MD5sum: 3c416f13b2d8b5fd152dc9fb6e427122
SHA1: 86d8637be1b70125ed9d7960b0a9dfac0ae2bd90
SHA256: 4edc01e82691d23b135f246c7cb0d8425332a2c84c56525cbefb4c1bb3ebe103
SHA512: cea55c77f8207818c94b9d98da296d66005d614db9ce63848b412e15c7a35626b3dde38a07f184d1b23e8f6029654892b04115386dc1117a68b664dd5e80cca5
Homepage: https://cran.r-project.org/package=USA.state.boundaries
Description: CRAN Package 'USA.state.boundaries' (WGS84 Datum Map of the USA, Including Puerto Rico and the U.S.Virgin Islands)
 Contains a WGS84 datum map of the USA, which includes all Commonwealth and
 State boundaries & also includes Puerto Rico and the U.S.  Virgin Islands.
 This map is a reprojection of the NAD83 datum map from the USGS National
 Map. This package contains a subset of the data included in the
 'USA.state.boundaries.data' package, which is available in a 'drat'
 repository. To install that data package, please follow the instructions at
 <https://gitlab.com/iembry/usa.state.boundaries.data>.

Package: r-cran-usa
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2092
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usa_0.1.2-1.ca2004.1_all.deb
Size: 1969044
MD5sum: ae9adeb7f01eb726dbdd1dc09e1a0cf9
SHA1: be5769a72833667edb23bbbbeffd2678be95e347
SHA256: cd4dabb9c2585dff963526bd62c9f337b3ac93cf6b0197ddc805f875cb2f4beb
SHA512: a785e81bde56da94c77d0960b8b9226639085dff33e243f388fc45497d2839f2bbb887f101458b9e7c6a0276b4c479ae1828912b81660b0d86dcfb0a3f376a17
Homepage: https://cran.r-project.org/package=usa
Description: CRAN Package 'usa' (Updated US State Facts and Figures)
 Updated versions of the 1970's "US State Facts and Figures" objects from the
 'datasets' package included with R. The new data is compiled from a number
 of sources, primarily from United States Census Bureau or the relevant
 federal agency.

Package: r-cran-usaboundaries
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1252
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-sf, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-leaflet
Filename: pool/dists/focal/main/r-cran-usaboundaries_0.4.0-1.ca2004.1_all.deb
Size: 643580
MD5sum: 722a2264b529140a9dc0a6d8046153a2
SHA1: b7f2502433a8ea0e7b8f11b8340b402e986cad04
SHA256: 8a147663daec7d2c132b2b1a58d40398da69610f0790192d830dc9202a2b6aaf
SHA512: 5a3e3fb9088f599c3fd36a7da44c73fcacae0a38c057e971e134f256ab1a4285493ec48430132aa93b98e49b7ed104b60970681e82a1ec4b5b6f19eb48bc3de1
Homepage: https://cran.r-project.org/package=USAboundaries
Description: CRAN Package 'USAboundaries' (Historical and Contemporary Boundaries of the United States ofAmerica)
 The boundaries for geographical units in the United States of America
 contained in this package include state, county, congressional district, and
 zip code tabulation area. Contemporary boundaries are provided by the U.S.
 Census Bureau (public domain). Historical boundaries for the years from 1629
 to 2000 are provided form the Newberry Library's 'Atlas of Historical County
 Boundaries' (licensed CC BY-NC-SA). Additional data is provided in the
 'USAboundariesData' package; this package provides an interface to access
 that data.

Package: r-cran-usaidplot
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-extrafont, r-cran-extrafontdb, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usaidplot_2.0.2-1.ca2004.1_all.deb
Size: 128488
MD5sum: 534f820d89ffca0c0f68c92dd187300e
SHA1: cb596853bbfc124bda9c9b3ef68b5aecaa01aeac
SHA256: f62f89c8a8cc56c258e631969fa0937af1863a47ca67b45929a38d7dc36b122d
SHA512: 6619cf64b2577832773d653c281fa1c552f46ec8cfb818c47aa025f73e8ec2bedac5c970e89e9f05d222ffca02e9e52679bb78575ac8e003a09e338e9c26ec2c
Homepage: https://cran.r-project.org/package=usaidplot
Description: CRAN Package 'usaidplot' (Make Graphs with US Agency for International Development Colors)
 Automatically apply the United States Agency for International Development's
 color palette and fonts for either discrete or continuous variables.

Package: r-cran-uscancer
Architecture: all
Version: 0.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-uscancer_0.1-2-1.ca2004.1_all.deb
Size: 53212
MD5sum: d16a02e3ef5cfb84f4d8dd264186f0ba
SHA1: 62067ea4a2f3ea11331cbd54bd63f68c0af38781
SHA256: b518bd2339a3b3d01d3c11637ed57168f9e894cd5aedaf50fafce86d0a15833a
SHA512: 8679f0944bbe48cac14be145323ad51c885f328c4c55b94c9d74cf10fe9b00ec43653bd547f77742619a90efc5f6b61947c6a9f342d29ef1466c4b470c7284bb
Homepage: https://cran.r-project.org/package=UScancer
Description: CRAN Package 'UScancer' (Create US cancer datasets from SEER, IARC, and US Census data)
 This package contains functions to read cancer data from SEER
 (http://seer.cancer.gov/) and IARC (http://www.iarc.fr) to create datasets
 at the county level based on US census information.

Package: r-cran-uscensus2000cdp
Architecture: all
Version: 0.03-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12936
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-sp, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-uscensus2000cdp_0.03-1.ca2004.1_all.deb
Size: 12924608
MD5sum: 3e6f69ed31921df69e50fb442bad1f63
SHA1: 27fc2d4d1a69f19d51a3a9bb198410baaadebda6
SHA256: 81b3dd650c4ee0a43da18166db96724db61730e379976be8e2968d101fe66d67
SHA512: ffcc0f7200d6664850b7b8a5d61a59998b8d1eb271ef067290b96c4981a24d9fd60bb328321e2a3f86f12fc5c77ca910dda4a87eedb962ddede3693b33399e5d
Homepage: https://cran.r-project.org/package=UScensus2000cdp
Description: CRAN Package 'UScensus2000cdp' (US Census 2000 Designated Places Shapefiles and AdditionalDemographic Data)
 US Census 2000 Designated Places shapefiles and additional demographic data
 from the SF1 100 percent files. This data set contains polygon files in
 lat/lon coordinates and the corresponding demographic data for a number of
 different variables.

Package: r-cran-uscensus2000tract
Architecture: all
Version: 0.03-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 27551
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-sp, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-uscensus2000tract_0.03-1.ca2004.1_all.deb
Size: 27948520
MD5sum: 813f023f18759d06d753f42d2b7e3b5e
SHA1: 0e6dfb5cf406813ebc817cb0314d1d764f819bb9
SHA256: f48cf39504cedb05e830df3970024837701b6ace12e5cd6de90a659fa9e66b45
SHA512: 9596a4ec1b2b4a00180971ddfcc7df3ce16fe4536776f835a4a84fae092664fd72c3197dcca4bae3e5d9fddb181ad537a258410513a679a72f804cd25c75f336
Homepage: https://cran.r-project.org/package=UScensus2000tract
Description: CRAN Package 'UScensus2000tract' (US Census 2000 Tract Level Shapefiles and Additional DemographicData)
 US 2000 Census Tract shapefiles and additional demographic data from the SF1
 100 percent files. This data set contains polygon files in lat/lon
 coordinates and the corresponding demographic data for a number of different
 variables.

Package: r-cran-uscensus2010
Architecture: all
Version: 0.20.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-maptools, r-cran-sp, r-cran-foreign
Suggests: r-cran-rgdal
Filename: pool/dists/focal/main/r-cran-uscensus2010_0.20.0-1.ca2004.1_all.deb
Size: 143040
MD5sum: 160642293a5db10176df4ffeef422f7e
SHA1: e88e73a774da724c4a3bd6fbb9dfcbef8ff16e75
SHA256: f385d59c4a07916669896e65c5f9e67f63a44ca74d9242df3b793f59b0532deb
SHA512: 7f761ee77ef0377d4da7518906295c668e5c48141888abada0c3b5b1d82bb731367095389392a8bd78577d3219939ae8f523dd8b054d4d0c88d7c579f9ec833c
Homepage: https://cran.r-project.org/package=UScensus2010
Description: CRAN Package 'UScensus2010' (US Census 2010 Suite of R Packages)
 US Census 2010 shape files and additional demographic data from the SF1 100
 percent files. This package contains a number of helper functions for the
 UScensus2010blk, UScensus2010blkgrp, UScensus2010tract, UScensus2010cdp
 packages.

Package: r-cran-uscoauditlog
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr, r-cran-openxlsx, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-uscoauditlog_1.0.3-1.ca2004.1_all.deb
Size: 40252
MD5sum: d1b2b67938785df94b9ad63d9315fc1b
SHA1: ca3fa24ccdffe510393f62f7acb86ccb4bb65570
SHA256: 69366f6fffdeae38b81f1fca8776d3b044143df0aa767a73e30a8a3101a2ccbc
SHA512: 87c456aa95185551d320369b356363f28c200e2f114646e06071e242556e326fdaeb748b90c8cc8332dde5184ac6d173d3d8065cbd1df0fafa5e6c4d5da96339
Homepage: https://cran.r-project.org/package=uscoauditlog
Description: CRAN Package 'uscoauditlog' (United States Copyright Office Product Management Division SRAudit Data Dataset Cleaning Algorithms)
 Intended to be used by the United States Copyright Office Product Management
 Division Business Analysts. Include algorithms for the United States
 Copyright Office Product Management Division SR Audit Data dataset. The
 algorithm takes in the SR Audit Data excel file and reformat the spreadsheet
 such that the values and variables fit the format of the online database.
 Support functions in this package include clean_str(), which cleans
 instances of variable AUDIT_LOG; clean_data_to_excel(), which cleans and
 output the reorganized SR Audit Data dataset in excel format;
 clean_data_to_dataframe(), which cleans and stores the reorganized SR Audit
 Data data set to a data frame; format_from_excel(), which reads in the
 outputted excel file from the clean_data_to_excel() function and formats and
 returns the data as a dictionary that uses FIELD types as keys and NON-FIELD
 types as the values of those keys. format_from_dataframe(), which reads in
 the outputted data frame from the clean_data_to_dataframe() function and
 formats and returns the data as a dictionary that uses FIELD types as keys
 and NON-FIELD types as the values of those keys; support_function(), which
 takes in the dictionary outputted either from the format_from_dataframe() or
 format_from_excel() function and returns the data as a formatted data frame
 according to the original U.S. Copyright Office SR Audit Data online
 database. The main function of this package is clean_format_all(), which
 takes in an excel file and returns the formatted data into a new excel and
 text file according to the format from the U.S. Copyright Office SR Audit
 Data online database.

Package: r-cran-uscongress
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-stringr, r-cran-rvest, r-cran-tibble
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-uscongress_1.0.0-1.ca2004.1_all.deb
Size: 21540
MD5sum: e7036324dca82f8474d53994d323a9f3
SHA1: 5ea6e3372ba8344669dff067200a3b4765c0db8b
SHA256: 5df6072665d5917116f55785a26a6a88f1d896a0eba35b6db5352cfa6e870aa7
SHA512: db1a4d37ac6d145f543cbc933a3aa0ccc896a3ccd50a814884ca7005bddb1ce0a9f585519868223560bcd3af1d4c1db2db1f02cafa7283c3c55afff067fd492c
Homepage: https://cran.r-project.org/package=uscongress
Description: CRAN Package 'uscongress' (Fetch United States Congressional Records (1995-Present))
 Fetch United States Congressional Records from their API
 <https://api.govinfo.gov/docs/> such as congressional speeches, speaker
 names, and metadata about congressional sessions, and detailed granule
 records.  Optional parameters allow users to specify congressional sessions,
 and the maximum number of speeches to retrieve. Data is parsed, cleaned, and
 returned in a structured dataframe for analysis.

Package: r-cran-usdampr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-usdampr_1.0.1-1.ca2004.1_all.deb
Size: 26348
MD5sum: 0b50c2dea52164165a20476b6f2f86a2
SHA1: 7d08d6624edc24ed047be2432071cc16c8ff7a4d
SHA256: 66e933727a1b9b5b779b2cfb8b8f4f574633e2df49a2a46132ab262b29026439
SHA512: 68a280e7f2411788ae2ec4d350543f525dbed1aa386197b6e7e20cd9c5b8c7010cb54ba2cefaccee23cdde85c6c9dc54168f78443da71d8fa383e971c1069449
Homepage: https://cran.r-project.org/package=usdampr
Description: CRAN Package 'usdampr' (Request USDA MPR Historical Data via the 'LMR' API)
 Interface to easily access data via the United States Department of
 Agriculture (USDA)'s Livestock Mandatory Reporting ('LMR') Data API at
 <https://mpr.datamart.ams.usda.gov/>. The downloaded data can be saved for
 later off-line use.  Also provide relevant information and metadata for each
 of the input variables needed for sending the data inquiry.

Package: r-cran-usdarnass
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 233
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-readr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-dplyr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-usdarnass_0.1.0-1.ca2004.1_all.deb
Size: 60228
MD5sum: 51faa320e5b91d5b24c16af0d3bd6ce7
SHA1: cc01d4004743a60c56674a309f90ecb721f9a188
SHA256: 50b612e2d14b8bc30479935b7b7a6e8afca4b8e9d5bc7fbc6c6143e5b3a155a0
SHA512: 492a30cd61899b6f54fd3e604af09b77bdb63db625fd0af4913a8d7a741f2233d36112f1635c3217b223956b6958822c36c2eb9b56b45efb026fdd203ee73f6a
Homepage: https://cran.r-project.org/package=usdarnass
Description: CRAN Package 'usdarnass' (USDA NASS Quick Stats API)
 An alternative for downloading various United States Department of
 Agriculture (USDA) data from <https://quickstats.nass.usda.gov/> through R.
 You must sign up for an API token from the mentioned website in order for
 this package to work.

Package: r-cran-usdata
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2575
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tibble
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-maps, r-cran-lubridate, r-cran-sf, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usdata_0.3.1-1.ca2004.1_all.deb
Size: 2542352
MD5sum: a2a718072516ac35a61923561451bc0b
SHA1: e6c2ff541deaa0e93bcd2c2ca1433d43b7b72b9f
SHA256: 78caf7f3916a98a824a8da760e7b07e698a88d43193a6c04fb87036a79eb99dd
SHA512: 4be7fc15c80fdadb5fc8834ac69ab5e7703fadc8ed6380677e0a61d8aeaa201e7730c7887cac4ba080abad56bd7af90d9004e4f58fc56295335aef13e6212f19
Homepage: https://cran.r-project.org/package=usdata
Description: CRAN Package 'usdata' (Data on the States and Counties of the United States)
 Demographic data on the United States at the county and state levels
 spanning multiple years.

Package: r-cran-usdatasets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4589
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usdatasets_0.1.0-1.ca2004.1_all.deb
Size: 2258356
MD5sum: 73e03c44778f0507a82fa556aaf1f378
SHA1: f5503759f134efe72f00084bacfc2c2547abf1c0
SHA256: 46742dd8f834784e974cdb4d2b0d64699885193624fe4f81408f9af453106aed
SHA512: c997e0ef32f96d486113bb680a67d5d5a80df6d06b78a96bda0e34993c05460480c810d88c6f31d897f674f99d4d7bf1ed650be431cc447652e68ddd312bcf43
Homepage: https://cran.r-project.org/package=usdatasets
Description: CRAN Package 'usdatasets' (A Comprehensive Collection of U.S. Datasets)
 Provides a diverse collection of U.S. datasets encompassing various fields
 such as crime, economics, education, finance, energy, healthcare, and more.
 It serves as a valuable resource for researchers and analysts seeking to
 perform in-depth analyses and derive insights from U.S.-specific data.

Package: r-cran-usdm
Architecture: all
Version: 2.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1017
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-raster
Filename: pool/dists/focal/main/r-cran-usdm_2.1-7-1.ca2004.1_all.deb
Size: 682012
MD5sum: fc9d91211827d98369b46284adba37bb
SHA1: 735e54b1a2b3ac287175994791620e29d19f324d
SHA256: ba8026d3a9b767f063fe1ff534b614c9ac6804d32d7d7079067ba5867a41f086
SHA512: 71bc421f97b437803135dbfc5aa1e005244f0f8357e5149a9b5bf55b33eeae9344d62afec157624b4eccf6204e84391c1594d00ac42a627f78fdc3409aca0df8
Homepage: https://cran.r-project.org/package=usdm
Description: CRAN Package 'usdm' (Uncertainty Analysis for Species Distribution Models)
 This is a framework that aims to provide methods and tools for assessing the
 impact of different sources of uncertainties (e.g.positional uncertainty) on
 performance of species distribution models (SDMs).)

Package: r-cran-usdoj
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-anytime, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-stringr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-usdoj_1.1.2-1.ca2004.1_all.deb
Size: 21672
MD5sum: 5e19b2eda76559dceca5343cba3c7cbe
SHA1: 11d89be061488cbc6f0b73fcd0c7eb023e4bd8a1
SHA256: 897fda20867576d44234d423d4458aa477020282bf8353701c951cc2cb6c19f5
SHA512: 5aeaaa011426c7ed2b1210c468b4c561058dcddb7b6a29b2b9f4f1953502085fbd680f4cff97415e034a77917caf06dafbebb29693e94cdc43c00805108b9faf
Homepage: https://cran.r-project.org/package=usdoj
Description: CRAN Package 'usdoj' (For Accessing U.S. Department of Justice (DOJ) Open Data)
 Fetch data from the
 <https://www.justice.gov/developer/api-documentation/api_v1> API such as
 press releases, blog entries, and speeches. Optional parameters allow users
 to specify the number of results starting from the earliest or latest
 entries, and whether these results contain keywords. Data is cleaned for
 analysis and returned in a dataframe.

Package: r-cran-usedist
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-dplyr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-usedist_0.4.0-1.ca2004.1_all.deb
Size: 41816
MD5sum: b6354db9715f5e1e9c51eb3f643195f1
SHA1: ee1f9728c0f99a7336f60435f28834918579c8be
SHA256: 5db87e548b61b4bed048c018c6092aa2b2861d0983ce839f433cf122a48219e4
SHA512: aab0279e035363f3f7942163f536023698f1a02a3b1fec97aa04196155a810879b6168d14838c01ca51ba27a2b5216c526f1a9fb86cc0267692fbf325636154c
Homepage: https://cran.r-project.org/package=usedist
Description: CRAN Package 'usedist' (Distance Matrix Utilities)
 Functions to re-arrange, extract, and work with distances.

Package: r-cran-usedthese
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-conflicted, r-cran-dplyr, r-cran-highr, r-cran-httr, r-cran-kableextra, r-cran-knitr, r-cran-lifecycle, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-withr
Suggests: r-cran-covr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tsibble, r-cran-xts
Filename: pool/dists/focal/main/r-cran-usedthese_0.5.0-1.ca2004.1_all.deb
Size: 110072
MD5sum: 8192809be6a9e4fcb8b09dfc3159509c
SHA1: de2e605cae842ae06b64f857b6f0af5a200f8856
SHA256: 08933b02e7a2e473153400405889795b65e5b6731e3fffe044ce8f9f94cf4890
SHA512: 53949cbbe3ad1bae42bab47796f8ff1f04a3b9ad62afb6efa0992e255c566a9c442f8c582de3ddcfa142619cbb95341a11c990cd78f8dbe59fbe0c50277fe843
Homepage: https://cran.r-project.org/package=usedthese
Description: CRAN Package 'usedthese' (Summarises Package & Function Usage)
 Consistent with 'knitr' syntax highlighting, 'usedthese' adds a summary
 table of package & function usage to a Quarto document and enables
 aggregation of usage across a website.

Package: r-cran-useful
Architecture: all
Version: 1.2.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-scales, r-cran-matrix, r-cran-assertthat
Suggests: r-cran-testthat, r-cran-tibble, r-cran-covr
Filename: pool/dists/focal/main/r-cran-useful_1.2.6.1-1.ca2004.1_all.deb
Size: 159084
MD5sum: 266ef780ccdff341586375a48621019f
SHA1: fad51368d92d62d02d75e4e3cf6211807bc84cec
SHA256: 40c37731482f7ae7f52fa83ea572f0fcc0a0c60f5ba11a90b3efd58d23f3bb34
SHA512: 8103ce110666e055c8ae5c0c023c40cbbaf7310a4257d435ca376e0d5caf3c080aa12203ab5b63a67339652299a1d790b4d012e8175d17444f8e08c453ba08ed
Homepage: https://cran.r-project.org/package=useful
Description: CRAN Package 'useful' (A Collection of Handy, Useful Functions)
 A set of little functions that have been found useful to do little odds and
 ends such as plotting the results of K-means clustering, substituting
 special text characters, viewing parts of a data.frame, constructing
 formulas from text and building design and response matrices.

Package: r-cran-usefun
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-precrec, r-cran-prroc, r-cran-tibble
Suggests: r-cran-combinat, r-cran-covr, r-cran-ggplot2, r-cran-mlr3misc, r-cran-readr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usefun_0.5.2-1.ca2004.1_all.deb
Size: 123692
MD5sum: d407ac79a0698a0ef1c33fb77a11bc3a
SHA1: 126050306fd428498429baecbbc0520e642e9c42
SHA256: 3772f341dd98a71056a9f7b0965835f1ab28d2afe8b9fb4188acdef259bd6cf7
SHA512: 6e6aa75f3934422333accbbe30087a663ac6acafcadecd12b470877ddd142bffda778f4174948742f45b4e15403b22748d4145d6970ae23e40bf14eee4d97303
Homepage: https://cran.r-project.org/package=usefun
Description: CRAN Package 'usefun' (A Collection of Useful Functions by John)
 A set of general functions that I have used in various projects and other R
 packages. Miscellaneous operations on data frames, matrices and vectors, ROC
 and PR statistics.

Package: r-cran-usemodels
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-cli, r-cran-clipr, r-cran-dplyr, r-cran-purrr, r-cran-recipes, r-cran-rlang, r-cran-tidyr, r-cran-tune
Suggests: r-cran-covr, r-cran-modeldata, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usemodels_0.2.0-1.ca2004.1_all.deb
Size: 57512
MD5sum: 5b2cacfe394a6381ebdcb53e5102972d
SHA1: f368c5e003057e9225f9ba90be43e685270f4e46
SHA256: 32ca61cf418a3f40e1554818c63c09e6c2382a8dac4c353f4b69459203ab9bb5
SHA512: 25c746cca23312607f69f7094faf3b0da69f69aa06879c4d73b89d7dbae4c2487ea59234b2b3d5b47ca3364afe6b0dbd46777b8603fa0a17268d986a25516d4e
Homepage: https://cran.r-project.org/package=usemodels
Description: CRAN Package 'usemodels' (Boilerplate Code for 'Tidymodels' Analyses)
 Code snippets to fit models using the tidymodels framework can be easily
 created for a given data set.

Package: r-cran-usethat
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-microservices, r-cran-purrr, r-cran-usethis, r-cran-withr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usethat_0.3.0-1.ca2004.1_all.deb
Size: 32816
MD5sum: 8b71d27cd2b0a25849a1c342b1ec578a
SHA1: 2cedcb350c7b68ce49ead345c2afcc2aed3da605
SHA256: 4231d3553b402b6783265e89c1714d7f791b1498e4e9874561f17ff7d3b1861c
SHA512: e28ab9bd6b785fdac893c48da1a3aa932cda8ddd17269738f21296a4f44e407b79508e728c9ef3631a906c2cb0ba70936aa3808776ccb8c2ca22488597105c90
Homepage: https://cran.r-project.org/package=usethat
Description: CRAN Package 'usethat' (Automate Analytic Project Setup and Development)
 Automate analytic project setup tasks that are otherwise performed manually.
 This includes setting up docker, spinning up a microservice, and more.

Package: r-cran-usethis
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-clipr, r-cran-crayon, r-cran-curl, r-cran-desc, r-cran-fs, r-cran-gert, r-cran-gh, r-cran-glue, r-cran-jsonlite, r-cran-lifecycle, r-cran-purrr, r-cran-rappdirs, r-cran-rlang, r-cran-rprojroot, r-cran-rstudioapi, r-cran-whisker, r-cran-withr, r-cran-yaml
Suggests: r-cran-covr, r-cran-knitr, r-cran-magick, r-cran-pkgload, r-cran-rmarkdown, r-cran-roxygen2, r-cran-spelling, r-cran-styler, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usethis_3.1.0-1.ca2004.1_all.deb
Size: 873164
MD5sum: d84f649e29593984a1375059e08a66da
SHA1: 66a0b4bc217ea4d69ab30e977497824082b7b719
SHA256: d39c2a1091448b585d1a31ce016610893636e707c8649a915e7e83e051d7b47f
SHA512: c300a5cc719438072ccac8a24469eb614a3e388d8e4829d5302c42c52bff6fba1886c89d7bf015520897209f368c813d26549b7cfededda997caf84d4ee5cf9f
Homepage: https://cran.r-project.org/package=usethis
Description: CRAN Package 'usethis' (Automate Package and Project Setup)
 Automate package and project setup tasks that are otherwise performed
 manually. This includes setting up unit testing, test coverage, continuous
 integration, Git, 'GitHub', licenses, 'Rcpp', 'RStudio' projects, and more.

Package: r-cran-usfertilizer
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2531
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidyverse
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-usfertilizer_0.1.5-1.ca2004.1_all.deb
Size: 2349968
MD5sum: 19b77648dd5a83c1c487d32a438e1ee5
SHA1: f19ce8e97486d3f47876fac0962d5887fa5fcec7
SHA256: 76eb785c4d855ca61bb3d14bac159e4c87a912bec7a900ec9d52a1561ca75d2c
SHA512: fde12cefb152f98997fc01a4e45b795bde22f2f1cd5bcafcf79246b11b789d53e094a9d56562c51575621a36bbdaf263a56e852e3073319a7f1e6882a82c0319
Homepage: https://cran.r-project.org/package=usfertilizer
Description: CRAN Package 'usfertilizer' (County-Level Estimates of Fertilizer Application in USA)
 Compiled and cleaned the county-level estimates of fertilizer, nitrogen and
 phosphorus, from 1945 to 2012 in United States of America (USA).  The
 commercial fertilizer data were originally generated by USGS based on the
 sales data of commercial fertilizer. The manure data were estimated based on
 county-level population data of livestock, poultry, and other animals.  See
 the user manual for detailed data sources and cleaning methods.
 'usfertilizer' utilized the tidyverse to clean the original data and provide
 user-friendly dataframe. Please note that USGS does not endorse this
 package. Also data from 1986 is not available for now.

Package: r-cran-usgas
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5294
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-usgas_0.1.2-1.ca2004.1_all.deb
Size: 2110412
MD5sum: d49e38b43943424a385ffa022edd5b34
SHA1: c45193f8ebbf06758892afb153b6eb09611fbd58
SHA256: c007e5ffd5c4ded7984853bf483bc927b025d72b78b16c2df106eb702c31300b
SHA512: 8e39dd450b38a1456bb6889ae7cc1d93e7dd19cd72f94fb40ec2044b32b03b8bc46c82297e65c03cc7d28a7a3f5064f142197c5777a354731524d434a0e8c917
Homepage: https://cran.r-project.org/package=USgas
Description: CRAN Package 'USgas' (The Demand for Natural Gas in the US)
 Provides an overview of the demand for natural gas in the US by state and
 country level. Data source: US Energy Information Administration
 <https://www.eia.gov/>.

Package: r-cran-usgrid
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsibble
Suggests: r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-devtools, r-cran-plotly, r-cran-remotes, r-cran-tidyr, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-usgrid_0.1.2-1.ca2004.1_all.deb
Size: 1747532
MD5sum: ac4ad54a865da87a7c5a11010bcdcb1d
SHA1: 257588a951a1e58819f3c37a1441d2e3baf8c318
SHA256: 0ec63f420454bf657f5376fc68d566eb2d8e9685e192ed19d8a77aa9e8cb3f81
SHA512: 4bd838fa279acbc42eb1d85857dd36a651fc9157e326134c3c0e364dbd25f03f42e55924720d41ab9f1530b78e5b0f0b3a824b3f34205ab6f674817605a758f8
Homepage: https://cran.r-project.org/package=USgrid
Description: CRAN Package 'USgrid' (The Demand and Supply for Electricity in the US)
 Provides a set of regular time-series datasets, describing the US
 electricity grid. That includes the total demand and supply, and as well as
 the demand by energy source (coal, solar, wind, etc.). Source: US Energy
 Information Administration (Dec 2019) <https://www.eia.gov/>.

Package: r-cran-ushr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2
Suggests: r-cran-ggally, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ushr_0.2.3-1.ca2004.1_all.deb
Size: 403788
MD5sum: 3f15982cf87d223c07e2b535b8959be5
SHA1: da7e5e97afc2efc076d9b611b3402d0af51f067a
SHA256: 573773b7844929b96cb9618046eb2985d720537db66e5cf1ac50e96f761565c4
SHA512: 5c144bb13ca3afd3ba610de85ef85b9e6178f5eb294d7c4ff9fea5ecf77ada80801cb1c702b4552a9f6c54e113a336bee052aeb0b6d9e48e667c89563812764d
Homepage: https://cran.r-project.org/package=ushr
Description: CRAN Package 'ushr' (Understanding Suppression of HIV)
 Analyzes longitudinal data of HIV decline in patients on antiretroviral
 therapy using the canonical biphasic exponential decay model (pioneered, for
 example, by work in Perelson et al. (1997) <doi:10.1038/387188a0>; and Wu
 and Ding (1999) <doi:10.1111/j.0006-341X.1999.00410.x>). Model fitting and
 parameter estimation are performed, with additional options to calculate the
 time to viral suppression. Plotting and summary tools are also provided for
 fast assessment of model results.

Package: r-cran-usincometaxes
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1654
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-vroom, r-cran-tibble, r-cran-v8
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-usincometaxes_0.7.1-1.ca2004.1_all.deb
Size: 596008
MD5sum: b9e7ad556af50af4aba57165718ed72a
SHA1: 6678656e95a7487b04b61b124496e22a8fa55aca
SHA256: 5c98a79983dd8a3096e34231061a19c8a3cf6f13cc5e61a66b9441686975ad36
SHA512: e8530110ea9a342895246644779859ee38634d37587f642a336458b15fdf4e1ae9041434c68f00d00171ffb804420a8b15825b1a7db6ac3528e084123646bde4
Homepage: https://cran.r-project.org/package=usincometaxes
Description: CRAN Package 'usincometaxes' (Calculate Federal and State Income Taxes in the United States)
 Calculates federal and state income taxes in the United States. It acts as a
 wrapper to the NBER's TAXSIM 35 (<http://taxsim.nber.org/taxsim35/>) tax
 simulator. TAXSIM 35 conducts the calculations, while 'usincometaxes'
 prepares the data for TAXSIM 35, sends the data to TAXSIM 35's server or
 communicates with the Web Assembly file, retrieves the data, and places it
 into a data frame. All without the user worrying about this process.

Package: r-cran-usingr
Architecture: all
Version: 2.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2483
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-histdata, r-cran-hmisc
Suggests: r-cran-zoo, r-cran-ggplot2, r-cran-vcd, r-cran-lubridate, r-cran-aplpack
Filename: pool/dists/focal/main/r-cran-usingr_2.0-7-1.ca2004.1_all.deb
Size: 2037740
MD5sum: 9ad38265ac5d6971ea5167625b677052
SHA1: 65c8042e6d73e59314f0eccb2ce295da455c68b4
SHA256: e3abd4165692a381b9cc5097afb226d60099bbf533f838cf897026294c36d45f
SHA512: 077ba5c471305df3965f90545958181caa55f260059be0ac934c0b244dc5abc351a8b822a087d8aec00adcb429ba2b4d103dd82cce49196038ecb768517293e4
Homepage: https://cran.r-project.org/package=UsingR
Description: CRAN Package 'UsingR' (Data Sets, Etc. for the Text "Using R for IntroductoryStatistics", Second Edition)
 A collection of data sets to accompany the textbook "Using R for
 Introductory Statistics," second edition.

Package: r-cran-uskewfactors
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tmvtnorm, r-cran-mvtnorm, r-cran-mcmcpack, r-cran-mass
Filename: pool/dists/focal/main/r-cran-uskewfactors_2.0-1.ca2004.1_all.deb
Size: 55536
MD5sum: fdb3ce307d71a0d2520e261677fe2e35
SHA1: 66a47323c53bce02d4373e78ed0c5c4f2c5e3e6e
SHA256: 259e132fe75a19e601afa9f487795c315161a475ca2cd6c1ec0b4a5f2e3287da
SHA512: f81151c586f2bff492504b7caceca1657fe4e513599c714f0431382e5fc313ec2576512c36b82bde51e21753ab40628adca491498d2a738064de0f3b5059357e
Homepage: https://cran.r-project.org/package=uskewFactors
Description: CRAN Package 'uskewFactors' (Model-Based Clustering via Mixtures of Unrestricted Skew-tSactor Analyzer Models)
 Implements mixtures of unrestricted skew-t factor analyzer models via the EM
 algorithm.

Package: r-cran-usl
Architecture: all
Version: 3.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 538
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-nlsr
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-usl_3.0.3-1.ca2004.1_all.deb
Size: 406872
MD5sum: c59ad5d91011c401bcb76be0139a9779
SHA1: ca972bf4416645dcf53d38854dbc43e0257f9aa3
SHA256: c0d449add611f2c37f4310f94621754dbec97f6d603e98a0003b3678b5442a9f
SHA512: d862eaf1addf5941cc7018d3cc2f9cf065e76930d1ecd6afe076f51ccfa684f2f3371f868014eb03e28460a31e398744d6bda3052f6d836d7dc4a3537c56b698
Homepage: https://cran.r-project.org/package=usl
Description: CRAN Package 'usl' (Analyze System Scalability with the Universal Scalability Law)
 The Universal Scalability Law (Gunther 2007) <doi:10.1007/978-3-540-31010-5>
 is a model to predict hardware and software scalability. It uses system
 capacity as a function of load to forecast the scalability for the system.

Package: r-cran-usmap
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2269
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-usmapdata
Suggests: r-cran-covr, r-cran-ggplot2, r-cran-ggrepel, r-cran-knitr, r-cran-proto, r-cran-rmarkdown, r-cran-scales, r-cran-sf, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-usmap_0.8.0-1.ca2004.1_all.deb
Size: 1650592
MD5sum: 1585d43537a45dd2f594ed0f454af65f
SHA1: db9760961d1c447500219e0b2802732caa4665d3
SHA256: 64dba3b1e58564175fbb8516cdd64e4729a896ce8eda11b2c6bc5db9f70edd5c
SHA512: e84a91514131d57f74934a4525cf35e73c739d3ae08c8bdbcb2ac1a02f25b04ae37e4734f58cdb51525a4e6a6289424ce6a8b35c1b5a8cc592fb610e0c54fe6b
Homepage: https://cran.r-project.org/package=usmap
Description: CRAN Package 'usmap' (US Maps Including Alaska and Hawaii)
 Obtain United States map data frames of varying region types (e.g. county,
 state). The map data frames include Alaska and Hawaii conveniently placed to
 the bottom left, as they appear in most maps of the US. Convenience
 functions for plotting choropleths, visualizing spatial data, and working
 with FIPS codes are also provided.

Package: r-cran-usmapdata
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10006
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-sf
Suggests: r-cran-covr, r-cran-dplyr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-usmapdata_0.6.0-1.ca2004.1_all.deb
Size: 1612348
MD5sum: b1ba3ae62e2b7bdd8d543124c2ae3c62
SHA1: a8504a444eed8d5330f58f67379bbaa9d87a98e0
SHA256: 44729768da364efbbd8549ee105388a0a45c6ec09b71be808287330139a9a092
SHA512: 946da1ed0b891f8f9a5e4aaa687a248731b9c4dfc1701d79d939f4c6ae188770c9d03510d1056cd9a913add0b59f20139da50a87352bbd4811d7e0a8e32ff0c6
Homepage: https://cran.r-project.org/package=usmapdata
Description: CRAN Package 'usmapdata' (Mapping Data for 'usmap' Package)
 Provides a container for data used by the 'usmap' package.  The data used by
 'usmap' has been extracted into this package so that the file size of the
 'usmap' package can be reduced greatly. The data in this package will be
 updated roughly once per year as new map data files are provided by the US
 Census Bureau.

Package: r-cran-usp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Filename: pool/dists/focal/main/r-cran-usp_0.1.2-1.ca2004.1_all.deb
Size: 54424
MD5sum: f79bafad5ae0af836e561cb10aa1128e
SHA1: 46dee5fc6ee1ea11521a49e5d5580cd5f9248d39
SHA256: b7e4987d410f3b31ef38880e016ae9caa65f8ed55612f43e4ca2da2be10b7e42
SHA512: 3b94343eff4420f442cf0bd8b6e0a75fca5ff0a20818a604ca1c865c9e2364ff145e08f92c7750c8aff5637d7eac3e132ace39fd86ca2791dcc80066a6ed8d62
Homepage: https://cran.r-project.org/package=USP
Description: CRAN Package 'USP' (U-Statistic Permutation Tests of Independence for all Data Types)
 Implements various independence tests for discrete, continuous, and
 infinite-dimensional data. The tests are based on a U-statistic permutation
 test, the USP of Berrett, Kontoyiannis and Samworth (2020)
 <arXiv:2001.05513>, and shown to be minimax rate optimal in a wide range of
 settings. As the permutation principle is used, all tests have exact,
 non-asymptotic Type I error control at the nominal level.

Package: r-cran-uspopcenters
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7159
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tibble
Filename: pool/dists/focal/main/r-cran-uspopcenters_0.2.0-1.ca2004.1_all.deb
Size: 7293464
MD5sum: d7a175429ff0430d865c2b3b0c67602c
SHA1: ac91f5426a9e2c0b3f12add45a33fc036f09eff9
SHA256: aec6cd4533de362495abb72f4004a9199360f00a0ee2b2dfa5b00b90612f3625
SHA512: ca6f962a49ad3c312652a4b473704c4b6ede0ff8536deae27e7465c3573c3689eee64914c523597073c5706204c73a7159b1ce7e13565be63065c0ed83cdf2ab
Homepage: https://cran.r-project.org/package=USpopcenters
Description: CRAN Package 'USpopcenters' (United States Centers of Population (Centroids))
 Centers of population (centroid) data for census areas in the United States.

Package: r-cran-ussherr
Architecture: all
Version: 1.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4216
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ussherr_1.10-1.ca2004.1_all.deb
Size: 4222808
MD5sum: 8a8b000e13a18118ae07e6dbcb99625d
SHA1: 94da3675eef0a4c21c9c2492acd921423ce82ac5
SHA256: e94ad39b4695922cb4160e0d1f1ebaf8cdd005153f28741d6bfb4979ba874978
SHA512: e9e5a6117c5eae247f8b90545858f38ececc26df994bbaee40581f30d42196898c824e7504d4bbc6d36d64e46042cf8cedac34d11407505e21c557ee6eba8ef2
Homepage: https://cran.r-project.org/package=ussherR
Description: CRAN Package 'ussherR' (Ussher Data Set Drawn from 1658 Chronology)
 The "ussher" data set is drawn from original chronological textual historic
 events. Commonly known as James Ussher's Annals of the World, the source
 text was originally written in Latin in 1650, and published in English
 translation in 1658.The data are classified by index, year, epoch (or one of
 the 7 ancient "Ages of the World"), Biblical source book if referenced
 (rarely), as well as alternate dating mechanisms, such as "Anno Mundi" (age
 of the world) or "Julian Period" (dates based upon the Julian calendar).
 Additional file "usshfull" includes variables that may be of further
 interest to historians, such as Southern Kingdom and Northern Kingdom
 discrepant dates, and the original amalgamated dating mechanic used by
 Ussher in the original text. The raw data can also be called using
 "usshraw", as described in: Ussher, J. (1658)
 <https://archive.org/stream/AnnalsOfTheWorld/Annals_djvu.txt>.

Package: r-cran-ustatbookabsc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-ustatbookabsc_1.0.0-1.ca2004.1_all.deb
Size: 25516
MD5sum: 9c10f105cd51ee667b8301234dd530f8
SHA1: 20e9d01a46d0b66ea57ab7d6c40e7b06566e5dcf
SHA256: f41196f71c89f2724733fc33d75ac3aa2ddcbf53fa7c74be230337d6b25ebb04
SHA512: 816e87d3b64214003fa3d0a9117b6bf5d1f38c05e0f27f3a6dd022ad38ebdbc1cc2f42c876d07c0fc4321e86ce0fdd3fb036bdba87df11defaec32abc5f16646
Homepage: https://cran.r-project.org/package=UStatBookABSC
Description: CRAN Package 'UStatBookABSC' (A Companion Package to the Book "U-Statistics, M-Estimation andResampling")
 A set of functions leading to multivariate response L1 regression.  This
 includes functions on computing Euclidean inner products and norms, weighted
 least squares estimates on multivariate responses, function to compute
 fitted values and residuals. This package is a companion to the book
 "U-Statistics, M-estimation and Resampling", by Arup Bose and Snigdhansu
 Chatterjee, to appear in 2017 as part of the "Texts and Readings in
 Mathematics" (TRIM) series of Hindustan Book Agency and Springer-Verlag.

Package: r-cran-ustfd
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 183
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-lubridate, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-stringr, r-cran-snakecase
Suggests: r-cran-testthat, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-ustfd_0.4.4-1.ca2004.1_all.deb
Size: 153024
MD5sum: ba27631b1854c87c1b9c0fa06a6a241a
SHA1: 438c39647a28fd341a151a9da0cc6d9227d26231
SHA256: 3392ecbdab0be21bfe436f5abba457327bbb1edfb1a301593d37544fdaaa53fa
SHA512: 19118da3f1d506f41c9b468c5bed1cfd42df89f8a6beab568078df8f8556721f5d35304124bdbc6236f76a3d8acbdda0a155a71206971ea4888da620a26c6508
Homepage: https://cran.r-project.org/package=ustfd
Description: CRAN Package 'ustfd' (API Client for US Treasury Fiscal Data)
 Make requests from the US Treasury Fiscal Data API endpoints.

Package: r-cran-ustyc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 704
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-plyr
Suggests: r-cran-xts, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-ustyc_1.0.0-1.ca2004.1_all.deb
Size: 669212
MD5sum: f22df42d55da9ef1f272f3e42abaff24
SHA1: 93c26052fdeb7f53e80bd2edef2468fa6452ce04
SHA256: 7c0af1f07b65ed755a8c0edbf6b194defbcaa39281895d946706207eb26797ec
SHA512: 69f45bedefad4020aa2d89b90faa8f68539c05b0a4bef12e685892ef5716f37a809a76cb4b154247e19e165a0d30dacd67272716cd0504ccbd67dfdb71058418
Homepage: https://cran.r-project.org/package=ustyc
Description: CRAN Package 'ustyc' (Fetch US Treasury yield curve data)
 Forms a query to submit for US Treasury yield curve data, posting this query
 to the US Treasury web site's data feed service.  By default the download
 includes data yield data for 12 products from January 1, 1990, some of which
 are NA during this span.  The caller can pass parameters to limit the query
 to a certain year or year and month, but the full download is not especially
 large.  The download data from the service is in XML format.  The package's
 main function transforms that XML data into a numeric data frame with
 treasury product items (constant maturity yields for 12 kinds of bills,
 notes, and bonds) as columns and dates as row names. The function returns a
 list which includes an item for this data frame as well as query-related
 values for reference and the update date from the service.

Package: r-cran-utc
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-utc_0.1.5-1.ca2004.1_all.deb
Size: 13516
MD5sum: afa57b269e3b4aa0553cd6fdbf567a52
SHA1: f37419e0da7ff89a2f0db7ea2aad99c9bb4c1582
SHA256: 9db280b6937e954f83fd2ee62c355128de6f1c20c826fc2f931e5539ac4bbf38
SHA512: 03ff6168cd6f205a8796d187e21f18c2b635e17fed8da2611f256af38a284cefdc714c260b583e7efa6e233b9b60ed7d5f988ca4c8c87d3a8fd630ee1005cb18
Homepage: https://cran.r-project.org/package=utc
Description: CRAN Package 'utc' (Coordinated Universal Time Transformations)
 Three functions are provided: first function changes time from local to UTC,
 other changes from UTC to local and third returns difference between local
 and UTC. %h+% operator is also provided it adds hours to a time.

Package: r-cran-utf8ify
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 351
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-utf8ify_0.1.0-1.ca2004.1_all.deb
Size: 290268
MD5sum: 0dbc1f015c54a1121aafea41b5de59b9
SHA1: 42064f13611b9fb635c42a6449872d2a59aac979
SHA256: 1d7ba5921fd868897487af72142f046922d02d22f99983e4ed6a7c061de86b8c
SHA512: 045e2693ef799ee4543cf07cfe9bc33c2b0556ef1912247ead93d0aad757d72c8411ee802dcf97f4c0975af8da613ae015f5d694e98c9231f0e82f92460c9ce3
Homepage: https://cran.r-project.org/package=utf8ify
Description: CRAN Package 'utf8ify' (Format Text Using Unicode)
 Format text (bold, italic, ...) and numbers using UTF-8.  Offers functions
 to search for emojis and include them in your text.

Package: r-cran-utile.tables
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-tidyselect, r-cran-utile.tools
Suggests: r-cran-survival
Filename: pool/dists/focal/main/r-cran-utile.tables_0.3.0-1.ca2004.1_all.deb
Size: 67544
MD5sum: ade46eaff8341b07aeab9f736c5e1b09
SHA1: 670d087f35c9a6f5227e0c6c3341b3b668f4a0a3
SHA256: ce39cc2eea15fd2c63be3aa7f9feb5b3817ddf6cbc76be401312b2901dc7563e
SHA512: 9f8b4dc569f51c899ff50ac90aaf5b12c85f371e32cfad4d770f8c3a7f7b4ed9a960c0ac09e10e381bc83e545948af82c1b2cfc8be0b35d3a945523836e3cb1e
Homepage: https://cran.r-project.org/package=utile.tables
Description: CRAN Package 'utile.tables' (Build Tables for Publication)
 Functions for building customized ready-to-export tables for publication.

Package: r-cran-utile.tools
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-lubridate, r-cran-purrr, r-cran-vctrs
Suggests: r-cran-survival, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-utile.tools_0.3.0-1.ca2004.1_all.deb
Size: 63380
MD5sum: ef8dbb8dbec2c245c7f20639adb4d99c
SHA1: 66d245e0a8ba372b44a96f73142e278356c9b189
SHA256: 3981becef80fd694be4f029915c2f44c6f53574008d57cbe05e126e3d52aad40
SHA512: f1789898b9baa0dec2ac241ed3ee762b0b9c599b215410bdc52cafcb24ca417b1480a0b7bb8cfb16ddbca551c20c2e5195d4275aaa8fac941923527e16559cec
Homepage: https://cran.r-project.org/package=utile.tools
Description: CRAN Package 'utile.tools' (Summarize Data for Publication)
 Tools for formatting and summarizing data for outcomes research.

Package: r-cran-utile.visuals
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-purrr
Suggests: r-cran-survival, r-cran-broom
Filename: pool/dists/focal/main/r-cran-utile.visuals_0.3.3-1.ca2004.1_all.deb
Size: 38184
MD5sum: 1659408616f53efea078d0096d537ef2
SHA1: 63a531d9035f9499c25b7c695deab497781bed07
SHA256: 0b0f2db33a8595aedfa4ee3e3362fae5671de493cbd624da60d05a41fe037d82
SHA512: d8aa9723c8cfd130a7c505dc84f7cba917d91745f3f1a6b90c3ec10c06505a21fda52d0dac6a09a346c2d26427bc04db289b5c1b16779b81d650e7338b73a777
Homepage: https://cran.r-project.org/package=utile.visuals
Description: CRAN Package 'utile.visuals' (Create Visuals for Publication)
 A set of functions to aid in the production of visuals in ggplot2.

Package: r-cran-utilities
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 269
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-ggplot2, r-cran-ggdag, r-cran-gmp, r-cran-gridextra, r-cran-matrixstats, r-cran-scales, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-utilities_0.6.1-1.ca2004.1_all.deb
Size: 242760
MD5sum: e0e61c86cc87ab79adba8b2ff659afb2
SHA1: 3595afbbe42bc6c9e56763be3c80bca100e943cb
SHA256: 52927e5f2eb25b8e83509aaa8166a626bbe9bb9eed97044efee46be5d1c7e2ec
SHA512: a45bb4cc2eead3c658a47caf31a0b86c7db06bb31888eca8254793e47593b49ecbd54ef66167bdccf1479f6f7113028f0f158572881dd53459c3df75a108ddb5
Homepage: https://cran.r-project.org/package=utilities
Description: CRAN Package 'utilities' (Data Utility Functions)
 Data utility functions for use in probability and statistics.  Includes
 functions for computing higher-moments for samples and their decompositions.
 Also includes utilities to examine functional mappings between factor
 variables and other variables in a data set.

Package: r-cran-utility
Architecture: all
Version: 1.4.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3268
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-utility_1.4.6-1.ca2004.1_all.deb
Size: 1440664
MD5sum: b74df99d198784bacc178a428bde72b1
SHA1: 946d47ce966d7308ef952e9befbb8aec99202dcd
SHA256: a4350f85ad5ada1158cde13a7b3d99c7c5b6b68600927fc270ae073eb1fc9212
SHA512: 53cd8602e7f34436d3ee38ad84b1dc91b6c38598f6a2d63a52d0accf01c44848c095908f4e987baa9b4e5b2e0b38deaec117bb654c5bf6b9564736142027637d
Homepage: https://cran.r-project.org/package=utility
Description: CRAN Package 'utility' (Construct, Evaluate and Plot Value and Utility Functions)
 Construct and plot objective hierarchies and associated value and utility
 functions.  Evaluate the values and utilities and visualize the results as
 colored objective hierarchies or tables.  Visualize uncertainty by plotting
 median and quantile intervals within the nodes of objective hierarchies.
 Get numerical results of the evaluations in standard R data types for
 further processing.

Package: r-cran-utilityfunctiontools
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spatstat.geom
Filename: pool/dists/focal/main/r-cran-utilityfunctiontools_0.1.1-1.ca2004.1_all.deb
Size: 68104
MD5sum: 9c63420f511deef3f32f62e8032f3981
SHA1: b5002248010b2cdcd3b5877409959bbaadbe7182
SHA256: 89096fb7f0e4a2a2bac928619a35a024f6f108077b47aeb258f5541ca1d75490
SHA512: 671b7c822ec2320d8186178dea6534da65a95d461621120aebd20fae0090b11969bf68e2f8fd58c837b52e3054fc8099b78d4ebcbdca2c25189de61536cda6de
Homepage: https://cran.r-project.org/package=utilityFunctionTools
Description: CRAN Package 'utilityFunctionTools' (P-Spline Regression for Utility Functions and Derived Measures)
 Predicts a smooth and continuous (individual) utility function from utility
 points, and computes measures of intensity for risk and higher order risk
 measures (or any other measure computed with user-written function) based on
 this utility function and its derivatives according to the method introduced
 in Schneider (2017)
 <http://hdl.handle.net/21.11130/00-1735-0000-002E-E306-0>.

Package: r-cran-utilsipea
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-stringr, r-cran-stringdist, r-cran-rcurl, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-utilsipea_0.0.6-1.ca2004.1_all.deb
Size: 29844
MD5sum: 5acdcfb048c0bfbbbea141537e78fe88
SHA1: 7883be41ca05edc9ce168280b6be01fb5e7b8291
SHA256: 61aef519b3873de27dffa32eeca79092b069935a5c204b325c1ae107a1fff190
SHA512: 15ee18f61f7588a7c72cd0c02d8dd7a9baffb7024c1ee06a8b5aabb42d4c39a64651d92d2f9059eb158003d297bb912c5f1bef0fd8a574316b0c5c35293d222c
Homepage: https://cran.r-project.org/package=utilsIPEA
Description: CRAN Package 'utilsIPEA' (IPEA Common Functions)
 The most used functions on IPEA (Instituto de Pesquisa Economica Aplicada).
 Most of functions deal with brazilian names.  It can guess the women
 single's name, extract prepositions or extract the first name.

Package: r-cran-utiml
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 691
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rocr
Suggests: r-cran-c50, r-cran-e1071, r-cran-infotheo, r-cran-kknn, r-cran-knitr, r-cran-randomforest, r-cran-rmarkdown, r-cran-markdown, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-utiml_0.1.7-1.ca2004.1_all.deb
Size: 554376
MD5sum: ca885d923b7ff8dcd6315fae5eb33ca9
SHA1: e69ff935bcbb535ca8943813f15d5c50eef22164
SHA256: a46388ea5ae3b8f1e75de5ede32adaf40b902edca9fea7b47f957fc5e0eab048
SHA512: e23d30a17e4f7182be7ac586ba1ba7e70fbd0c4ff0734ea525e5ac87f96cd80c8105554592451b62ab259940d1b4007888097e2a90291cd554de9c0a7ecb9e3c
Homepage: https://cran.r-project.org/package=utiml
Description: CRAN Package 'utiml' (Utilities for Multi-Label Learning)
 Multi-label learning strategies and others procedures to support multi-
 label classification in R. The package provides a set of multi-label
 procedures such as sampling methods, transformation strategies, threshold
 functions, pre-processing techniques and evaluation metrics. A complete
 overview of the matter can be seen in Zhang, M. and Zhou, Z. (2014)
 <doi:10.1109/TKDE.2013.39> and Gibaja, E. and Ventura, S. (2015) A Tutorial
 on Multi-label Learning.

Package: r-cran-utr.annotation
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 597
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-doparallel, r-cran-data.table, r-cran-readr, r-cran-stringr, r-bioc-biomart, r-cran-vcfr, r-bioc-biostrings, r-cran-dplyr, r-cran-tidyr, r-cran-keras, r-bioc-annotationhub, r-bioc-ensembldb, r-bioc-annotationfilter, r-bioc-biocgenerics, r-bioc-genomicfeatures, r-bioc-genomicranges, r-bioc-iranges, r-cran-foreach, r-bioc-rtracklayer, r-cran-xml2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-utr.annotation_1.0.4-1.ca2004.1_all.deb
Size: 504004
MD5sum: 006eb6fee8ea4984ff1d0be61ab79e50
SHA1: bd6b3cbd8bab9f6f3fa3f9ef152dd7cce7e1e23b
SHA256: 4c45b9b065a1884a8ed530363e64689280c4f28876d4f1dbfa4fdd208e84054c
SHA512: 61bae5c6b14f733198975dca9c2107439905135c8a849a666d8e48ff1d08ed567d5a4c3be32e71ad1e07d806dbfb44c18fbf7dca73ce5edda12b7d61d98c5ada
Homepage: https://cran.r-project.org/package=utr.annotation
Description: CRAN Package 'utr.annotation' (Annotate Variants in the Untranslated Regions)
 A fast, user-friendly tool for annotating potential deleterious variants in
 the untranslated regions for both human and mouse species. Y Liu, JD
 Dougherty (2021) <doi:10.1101/2021.06.23.449510>.

Package: r-cran-utsf
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cubist, r-cran-fnn, r-cran-forecast, r-cran-ggplot2, r-cran-ipred, r-cran-ranger, r-cran-rpart, r-cran-vctsfr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-utsf_1.2.0-1.ca2004.1_all.deb
Size: 109024
MD5sum: 3145d7b4de4a31d04f826ef03885a84e
SHA1: 7cfe6982e3a020b1b84727a45198fe8687f994f0
SHA256: 97400b0bdcaf99e32203ad9124fc1fcdcd491000149f09b3f3fd4da964164a3f
SHA512: b8353bb0856d1f1ac3792e2a1bc99741bde8951ecaaebc198963dd69a23aaf0fd7e89b488db19b0cd4b322d072ea9d6df32308804bc83c2768d4f2236b6f3d14
Homepage: https://cran.r-project.org/package=utsf
Description: CRAN Package 'utsf' (Univariate Time Series Forecasting)
 An engine for univariate time series forecasting using different regression
 models in an autoregressive way. The engine provides an uniform interface
 for applying the different models.  Furthermore, it is extensible so that
 users can easily apply their own regression models to univariate time series
 forecasting and benefit from all the features of the engine, such as
 preprocessings or estimation of forecast accuracy.

Package: r-cran-uwedragon
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-uwedragon_0.1.0-1.ca2004.1_all.deb
Size: 20240
MD5sum: e0e4c980f5873df65174c9047abd5af6
SHA1: 513a6c6030396d63331a3d9d886cdf7205430f52
SHA256: 86c233fdc5d1fae39a9ee6d83d20b816be3209fbd64dd341d3733e5cb174b68b
SHA512: 267dd3dd7b59d10b96360747c962f56f56a3b2066f8a5b968a4cab1153aa2afdd24c2e4ba83ff7a1be27e02e03ffb50779e85fa8cdb1815f8c8aad50d9a61470
Homepage: https://cran.r-project.org/package=uwedragon
Description: CRAN Package 'uwedragon' (Data Research, Access, Governance Network : StatisticalDisclosure Control)
 A tool for checking how much information is disclosed when reporting summary
 statistics.

Package: r-cran-uwham
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 326
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-trust
Filename: pool/dists/focal/main/r-cran-uwham_1.1-1.ca2004.1_all.deb
Size: 300164
MD5sum: 2183320a8cffc61d9beb685c2938c2de
SHA1: a549413d5f93b8d67c6000050d71c4d595ed7829
SHA256: 8588b444bd489552d24970e170faae2c33a58b8f29cf6a0fb0032b31a61ae936
SHA512: efdffd29a2ebeec8b1cfdcad8f4093ee860441903ace0ac77cfe664794a5c832979f8eaa29149585b28dfc33b95899245c4f15b3d85c88011c85c3422eabfbd4
Homepage: https://cran.r-project.org/package=UWHAM
Description: CRAN Package 'UWHAM' (Unbinned Weighted Histogram Analysis Method (UWHAM))
 A method for estimating log-normalizing constants (or free energies) and
 expectations from multiple distributions (such as multiple generalized
 ensembles).

Package: r-cran-uwo4419
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-desctools, r-cran-rcolorbrewer, r-cran-gmodels, r-cran-haven, r-cran-psych, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-rio
Filename: pool/dists/focal/main/r-cran-uwo4419_0.3.0-1.ca2004.1_all.deb
Size: 169872
MD5sum: ce2e127b4a72f87b26340e7cce54d593
SHA1: 5f58ec3ed7c220e164d31b54ba7eeaa93bbb925e
SHA256: 6f8fdbf9bf0ab9deb6efe1cfd7ff268636dbebb649d1f78be011b69bdd116932
SHA512: 8ebd2d2ac8647420d463119541dd9da74e8d1f5603c60c7c74678187d06b799c41217a252e1833bd5ce7552901d90b20b2a63076f509f1a977bb869b99cd13ea
Homepage: https://cran.r-project.org/package=uwo4419
Description: CRAN Package 'uwo4419' (UWO POLSCI 4419/9715)
 Supports the course Introduction to Methodology (POLSCI 4419/9715) at the
 University of Western Ontario.

Package: r-cran-uxr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-huxtable, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-uxr_0.2.0-1.ca2004.1_all.deb
Size: 97728
MD5sum: dd11eb2f28e116a43dd177e56a3f3026
SHA1: f7a33fd004a7a0f777f335d4f60fa7cf1b6d361c
SHA256: b2081ab0ed8920c0d433dc64e2d2e4903c87bdd44f72d682b580bc2cb6a9db21
SHA512: cc77a5f159922f95258bae2132ae4ef299ba747855d159087bc77e742e35845cf30fe04d0be9d4338e0d715fbf2234e1652c7220daf013922ebabd77584722cf
Homepage: https://cran.r-project.org/package=uxr
Description: CRAN Package 'uxr' (User Experience Research)
 Provides convenience functions for user experience research with an emphasis
 on quantitative user experience testing and reporting.  The functions are
 designed to translate statistical approaches to applied user experience
 research.

Package: r-cran-vaccine
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 815
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fdrtool, r-cran-ggplot2, r-cran-ggpubr, r-cran-rlang, r-cran-rsolnp, r-cran-superlearner, r-cran-survival, r-cran-survml, r-cran-truncnorm, r-cran-e1071, r-cran-gam, r-cran-ranger
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vaccine_1.3.0-1.ca2004.1_all.deb
Size: 754684
MD5sum: 363e79dde5f188fc8caae6d6753269f3
SHA1: efe2b68df6cd04a509dfa14dbfe22d9bdd767bda
SHA256: 2ac42605432b1b310b6a0eec475d978da466b9eb9c81549ccf43052ca1e62e08
SHA512: c6fbd394d46cb8f523830ac34f9546daf3278d52ff49d3758cfe5c437499517eebd5df04171e32642224d883b08c984e4b3941d60ded92214cf316ebf9b28a89
Homepage: https://cran.r-project.org/package=vaccine
Description: CRAN Package 'vaccine' (Statistical Tools for Immune Correlates Analysis of VaccineClinical Trial Data)
 Various semiparametric and nonparametric statistical tools for immune
 correlates analysis of vaccine clinical trial data. This includes
 calculation of summary statistics and estimation of risk, vaccine efficacy,
 controlled effects (controlled risk and controlled vaccine efficacy), and
 mediation effects (natural direct effect, natural indirect effect,
 proportion mediated). See Gilbert P, Fong Y, Kenny A, and Carone, M (2022)
 <doi:10.1093/biostatistics/kxac024> and Fay MP and Follmann DA (2023)
 <doi:10.48550/arXiv.2208.06465>.

Package: r-cran-vaccineff
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1559
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-ggplot2, r-cran-linelist, r-cran-matchit, r-cran-rlang, r-cran-scales, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vaccineff_1.0.0-1.ca2004.1_all.deb
Size: 1131852
MD5sum: cbb4de918cd86e8491b71d8458c3cc09
SHA1: 92012f3d6d9f9209e9c7ef722227a13f9f7e6d4f
SHA256: 5a312fda29b352c7c8bd68ad1f0dd6f10f0f4aad6ee2fc8854cd7b62f39e9dfe
SHA512: 32734b7eee5af31cae85f7afe4b263454c5c54f872a2708d8c6497d1c340bd7490e988b243394711a2544c63c94f023b365b8b7fb2644dc1e0165aa1d2c07e28
Homepage: https://cran.r-project.org/package=vaccineff
Description: CRAN Package 'vaccineff' (Estimate Vaccine Effectiveness Based on Different Study Designs)
 Provides tools for estimating vaccine effectiveness and related metrics. The
 'vaccineff_data' class manages key features for preparing, visualizing, and
 organizing cohort data, as well as estimating vaccine effectiveness. The
 results and model performance are assessed using the 'vaccineff' class.

Package: r-cran-vachette
Architecture: all
Version: 0.40.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1185
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-magrittr, r-cran-prospectr, r-cran-hmisc, r-cran-purrr, r-cran-minpack.lm, r-cran-progress, r-cran-rlang, r-cran-photobiology
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mrgsolve, r-cran-tidyvpc, r-cran-testthat, r-cran-learnr
Filename: pool/dists/focal/main/r-cran-vachette_0.40.1-1.ca2004.1_all.deb
Size: 436080
MD5sum: 0db82c1ca74ba3ec99eda31f6558431f
SHA1: 1d3c9b2bdc04de63656e5b32da759e4f9dfeaf18
SHA256: aa9a5b186e5c8f1a03bd00f1bd28bc39e5fcfa223c57b931f9c8b609269bad0a
SHA512: b4125fb7537d465b5b419cea3700c17d03a871c3e519899ee3b2439597b3a42f9ebd563bf944c5062389ae89a2ab262ae7ae92d80883a455efd450357b8d25f8
Homepage: https://cran.r-project.org/package=vachette
Description: CRAN Package 'vachette' (A Method for Visualization of Pharmacometric Models)
 A method to visualize pharmacometric analyses which are impacted by
 covariate effects. Variability-aligned covariate harmonized-effects and
 time-transformation equivalent ('vachette') facilitates intuitive overlays
 of data and model predictions, allowing for comprehensive comparison without
 dilution effects. 'vachette' improves upon previous methods Lommerse et al.
 (2021) <doi:10.1002/psp4.12679>, enabling its application to all
 pharmacometric models and enhancing Visual Predictive Checks (VPC) by
 integrating data into cohesive plots that can highlight model
 misspecification.

Package: r-cran-vacuum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 177
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-ggplot2, r-cran-knitr, r-cran-tidyr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vacuum_0.1.0-1.ca2004.1_all.deb
Size: 76608
MD5sum: 26aabc5f98b0e35fe5e60aee2796a84f
SHA1: 97dad5ba459ea1ce4076d4a0c57569eac1fdd473
SHA256: bdf8415ae2246e8e721505ef55dd01863035cc853ee83231f8983ca44c94d4c2
SHA512: 0af18eecd7a7c01a5af685bd518850ecfc51ea13a9a0ffd74e3b944c30798ce5aff0856446c0027b4b5e7776a1a6a2d42874e2a74232b0bf7897b14deeb0ba85
Homepage: https://cran.r-project.org/package=vacuum
Description: CRAN Package 'vacuum' (Tukey's Vacuum Cleaner)
 An implementation of three procedures developed by John Tukey: FUNOP (FUll
 NOrmal Plot), FUNOR-FUNOM (FUll NOrmal Rejection-FUll NOrmal Modification),
 and vacuum cleaner.  Combined, they provide a way to identify, treat, and
 analyze outliers in two-way (i.e., contingency) tables, as described in his
 landmark paper "The Future of Data Analysis", Tukey, John W. (1962)
 <https://www.jstor.org/stable/2237638>.

Package: r-cran-vader
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 174
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tm
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-vader_0.2.1-1.ca2004.1_all.deb
Size: 145816
MD5sum: fdceaf88ef9dfc84402771e598fa254c
SHA1: 74c16d8e8345fc333eb8c6f1e977449108e61a9f
SHA256: d998c8035927cefeaca7f0c7f68dcd5b97908e68e0ba5f487a473a454b444260
SHA512: f9b9a592463ccb92f9069403bb4a48ad3d4692ade898d5fcfab4a8ef6d732d9b453d39d4f281c50fb53aa058885c5e61cff917a716c3ef11b2dce00001e8e6d9
Homepage: https://cran.r-project.org/package=vader
Description: CRAN Package 'vader' (Valence Aware Dictionary and sEntiment Reasoner (VADER))
 A lexicon and rule-based sentiment analysis tool that is specifically
 attuned to sentiments expressed in social media, and works well on texts
 from other domains. Hutto & Gilbert (2014)
 <https://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8109/8122>.

Package: r-cran-vaersndvax
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 655
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-vaersvax, r-cran-data.table, r-cran-dplyr, r-cran-rpivottable
Filename: pool/dists/focal/main/r-cran-vaersndvax_1.0.4-1.ca2004.1_all.deb
Size: 629356
MD5sum: a415790ee60876d64cfadfeea7835a97
SHA1: 64e45f1d58375d278a2d00de1a5c3245678a77b2
SHA256: ceac648b93ea09e8de357b7f8a819afafa754d957383a1d734574cc18dd8fe73
SHA512: 0bb9bfd1f90dcfb340f31f6ad035680f5647e9ee562e51846c1f094bac752da10ecea01d50953155eeab387edade73bbc5137b16235db6a193555a964556c81f
Homepage: https://cran.r-project.org/package=vaersNDvax
Description: CRAN Package 'vaersNDvax' (Non-Domestic Vaccine Adverse Event Reporting System (VAERS)Vaccine Data for Present)
 Non-Domestic VAERS vaccine data for 01/01/2016 - 06/14/2016. If you want to
 explore the full VAERS data for 1990 - Present (data, symptoms, and
 vaccines), then check out the 'vaersND' package from the URL below. The URL
 and BugReports below correspond to the 'vaersND' package, of which
 'vaersNDvax' is a small subset (2016 only). 'vaersND' is not hosted on CRAN
 due to the large size of the data set. To install the Suggested 'vaers' and
 'vaersND' packages, use the following R code:
 'devtools::install_git("https://gitlab.com/iembry/vaers.git",
 build_vignettes = TRUE)' and
 'devtools::install_git("https://gitlab.com/iembry/vaersND.git",
 build_vignettes = TRUE)'. "VAERS is a national vaccine safety surveillance
 program co-sponsored by the US Centers for Disease Control and Prevention
 (CDC) and the US Food and Drug Administration (FDA). VAERS is a
 post-marketing safety surveillance program, collecting information about
 adverse events (possible side effects) that occur after the administration
 of vaccines licensed for use in the United States." For more information
 about the data, visit <https://vaers.hhs.gov/index>. For information about
 vaccination/immunization hazards, visit
 <http://www.questionuniverse.com/rethink.html/#vaccine>.

Package: r-cran-vaersvax
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-vaersndvax, r-cran-dplyr, r-cran-data.table, r-cran-pivottabler, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vaersvax_1.0.5-1.ca2004.1_all.deb
Size: 159920
MD5sum: 9bdda686bc8882c96de77d208c1fc2ff
SHA1: 2d3cea5ccb5442917dc90bae8833ad5f2702fa0f
SHA256: ad2ac4b76febad46060407f5e78f9df2fbd38624f64b1f9d975bf91acacc60e2
SHA512: bbeb2d70f9bbdfa734d7ce5d9d9ec5204e71ea315449b08523456a50404805ec49bd9ebf90aa35d41ca61fe802f6eb7ef564160a75e01819aba82751b1642079
Homepage: https://cran.r-project.org/package=vaersvax
Description: CRAN Package 'vaersvax' (US Vaccine Adverse Event Reporting System (VAERS) Vaccine Datafor Present)
 US VAERS vaccine data for 01/01/2018 - 06/14/2018. If you want to explore
 the full VAERS data for 1990 - Present (data, symptoms, and vaccines), then
 check out the 'vaers' package from the URL below. The URL and BugReports
 below correspond to the 'vaers' package, of which 'vaersvax' is a small
 subset (2018 only). 'vaers' is not hosted on CRAN due to the large size of
 the data set. To install the Suggested 'vaers' and 'vaersND' packages, use
 the following R code:
 'devtools::install_git("<https://gitlab.com/iembry/vaers.git>",
 build_vignettes = TRUE)' and
 'devtools::install_git("<https://gitlab.com/iembry/vaersND.git>",
 build_vignettes = TRUE)'. "The Vaccine Adverse Event Reporting System
 (VAERS) is a national early warning system to detect possible safety
 problems in U.S.-licensed vaccines. VAERS is co-managed by the Centers for
 Disease Control and Prevention (CDC) and the U.S. Food and Drug
 Administration (FDA)." For more information about the data, visit
 <https://vaers.hhs.gov/>. For information about vaccination/immunization
 hazards, visit <http://www.questionuniverse.com/rethink.html#vaccine>.

Package: r-cran-vagalumer
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-httr, r-cran-stringr, r-cran-dplyr, r-cran-purrr, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-tm
Filename: pool/dists/focal/main/r-cran-vagalumer_0.1.6-1.ca2004.1_all.deb
Size: 30136
MD5sum: 15fd19dbc0585323a27c5d440e6249ac
SHA1: 2cf2adff3a2112876acf4843359e0ae82a9d2bd6
SHA256: 109b7688b42a9471d76165f41c937de1a7f0639cc52344058a98b5f1eaaab9eb
SHA512: 898c6d1e4e9c66ef62b93771407efbb89c84e379213352f330a1e85dbb287d393b0e5ad6509241c8cda2afc71a4e52e823be851f1b0dbbc581f1b0304d783484
Homepage: https://cran.r-project.org/package=vagalumeR
Description: CRAN Package 'vagalumeR' (Access to the 'Vagalume' API)
 Provides access to the 'Vagalume' API <https://api.vagalume.com.br>.  The
 data extracted is basically lyrics of songs and information about
 artists/bands.

Package: r-cran-vagam
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 164
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-gamm4, r-cran-matrix, r-cran-mvtnorm, r-cran-truncnorm
Filename: pool/dists/focal/main/r-cran-vagam_1.1-1.ca2004.1_all.deb
Size: 132272
MD5sum: dceabd1bf3d2cb802512db07cef2befe
SHA1: 66c405745fb087dab7a5b8b9a0cbfaaf0b3c04e3
SHA256: fb26173f9aa66efd3d96349c5777cf113ad2478e221e7e8de8dbafee6652c2c8
SHA512: d95bc2391ae5c072368f41a0dede6903aaac26029e24cd8353a9c9fde94961b43d230c1014a98c8d84b5246a33a1f404427f5ef93992df9937c38de5afe88e5a
Homepage: https://cran.r-project.org/package=vagam
Description: CRAN Package 'vagam' (Variational Approximations for Generalized Additive Models)
 Fits generalized additive models (GAMs) using a variational approximations
 (VA) framework. In brief, the VA framework provides a fully or at least
 closed to fully tractable lower bound approximation to the marginal
 likelihood of a GAM when it is parameterized as a mixed model (using
 penalized splines, say). In doing so, the VA framework aims offers both the
 stability and natural inference tools available in the mixed model approach
 to GAMs, while achieving computation times comparable to that of using the
 penalized likelihood approach to GAMs. See Hui et al. (2018)
 <doi:10.1080/01621459.2018.1518235>.

Package: r-cran-valaddin
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lazyeval
Suggests: r-cran-magrittr, r-cran-testthat, r-cran-stringr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-valaddin_1.0.2-1.ca2004.1_all.deb
Size: 183628
MD5sum: 6bfb85bf38e0b2607749f65e0e3fa920
SHA1: e9711345722a8b015f947d1d1193620f8f6abbdc
SHA256: b5a095c4af30baa18c4a8bd70f3be208b29ad6ae17171d3de043a13107385315
SHA512: 091c587a918fe7e07c23138d59e4ca23a6e74d7b4f446668dc4bfa7f71c4fb4368c19b505ff5812774656e873c9053d3361c666c1ab8d07ed37d7ea849d516c4
Homepage: https://cran.r-project.org/package=valaddin
Description: CRAN Package 'valaddin' (Functional Input Validation)
 A set of basic tools to transform functions into functions with input
 validation checks, in a manner suitable for both programmatic and
 interactive use.

Package: r-cran-valection
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 170
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-valection_1.0.0-1.ca2004.1_all.deb
Size: 131192
MD5sum: cb9ad6e0ed1f5f21e9581bbe451cc78e
SHA1: 2820edc3fd3e61661bcb7b5696771166f6cac1ee
SHA256: 3b74b746da2e1fd1070732987572ff7dba98f49f39c2ab8b374c4a421b59c1d4
SHA512: 9d557c2057940c22e1a19e47b8903922885f46c1363d3b45dd9677950eeec29715caeed08684b6fe583ae49bb15babdc4425cd091946f826ffe5d73f0a4298ea
Homepage: https://cran.r-project.org/package=valection
Description: CRAN Package 'valection' (Sampler for Verification Studies)
 A binding for the 'valection' program which offers various ways to sample
 the outputs of competing algorithms or parameterizations, and fairly assess
 their performance against each other. The 'valection' C library is required
 to use this package and can be downloaded from:
 <http://labs.oicr.on.ca/boutros-lab/software/valection>. Cooper CI, et al;
 Valection: Design Optimization for Validation and Verification Studies;
 Biorxiv 2018; <doi:10.1101/254839>.

Package: r-cran-valentine
Architecture: all
Version: 2025.2.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 574
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-ellmer, r-cran-glue, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-valentine_2025.2.14-1.ca2004.1_all.deb
Size: 540404
MD5sum: 204acb3af4ddeefcaa493e9ca70d3122
SHA1: 1aea095553a527ee400bc21368516e8f484b3177
SHA256: 6e3b5eea2580892943f512dfcafb220589ab2781ec8db4902255cd0e97c4d5aa
SHA512: 017bf5080acf9363a498ba512b8b602d523db22368db27a59febec70c7ddd45879cc78b73aacbca49af170cf3ec0459016ee8c331fdb1c9e8a4747cc94820680
Homepage: https://cran.r-project.org/package=valentine
Description: CRAN Package 'valentine' (Spread the Love for R Packages with Poetry)
 Uses large language models to create poems about R packages.  Currently
 contains the roses() function to make "roses are red, ..." style poems and
 the prompt() function to only assemble the prompt without submitting it to
 the model.

Package: r-cran-valerie
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-genomicalignments, r-bioc-genomicranges, r-bioc-iranges, r-bioc-rsamtools, r-cran-plyr, r-cran-ggplot2, r-cran-pheatmap, r-cran-ggplotify, r-cran-ggpubr, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-valerie_1.1.0-1.ca2004.1_all.deb
Size: 4462580
MD5sum: 2747fabe8ca377716b98f344b6c45978
SHA1: ea421ab127c069e2053718a143156fa7292872eb
SHA256: 51c70738c354fe01b3feb53767549e703f2500f7413737c735a85b882bf9b181
SHA512: a1f0397edbadeb25a6f422742ae724552f9663adc45b7b63a687ab42b0342e55f21348ea336a1cf1c092ef712bad08cdb07455260f90b610a5600729c287d6f4
Homepage: https://cran.r-project.org/package=VALERIE
Description: CRAN Package 'VALERIE' (Visualising Splicing at Single-Cell Resolution)
 Alternative splicing produces a variety of different protein products from a
 given gene. 'VALERIE' enables visualisation of alternative splicing events
 from high-throughput single-cell RNA-sequencing experiments. 'VALERIE'
 computes percent spliced-in (PSI) values for user-specified genomic
 coordinates corresponding to alternative splicing events. PSI is the
 proportion of sequencing reads supporting the included exon/intron as
 defined by Shiozawa (2018) <doi:10.1038/s41467-018-06063-x>. PSI are
 inferred from sequencing reads data based on specialised infrastructures for
 representing and computing annotated genomic ranges by Lawrence (2013)
 <doi:10.1371/journal.pcbi.1003118>. Computed PSI for each single cell are
 subsequently presented in the form of a heatmap implemented using the
 'pheatmap' package by Kolde (2010)
 <https://CRAN.R-project.org/package=pheatmap>. Board overview of the mean
 PSI difference and associated p-values across different user-defined groups
 of single cells are presented in the form of a line graph using the
 'ggplot2' package by Wickham (2007)
 <https://CRAN.R-project.org/package=ggplot2>.

Package: r-cran-valet
Architecture: all
Version: 0.9.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-dplyr, r-cran-readr, r-cran-purrr, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-valet_0.9.1-1.ca2004.1_all.deb
Size: 25684
MD5sum: c73c6962632ae05bb75ea05998c7b72f
SHA1: 956452ed72f782fe9483078ad2ae5d0b02664732
SHA256: ec02e82530d93842057f73706d5bce1e4a2b16b3d9414d74928d0d15390b2cb2
SHA512: bfa9615a986360673dd82b9fddae23c5644be904c173f83c5b74b2e808bb46cd2356f513047f17b3bf4638229170c796dff3fcb5d316b0d23df7a4e0bc619c1a
Homepage: https://cran.r-project.org/package=valet
Description: CRAN Package 'valet' (Provide R Client to the Bank of Canada's Valet API)
 The Bank of Canada updated their Valet API
 <https://www.bankofcanada.ca/valet/docs>, and no R client currently exists.
 This provides access to all of Valet's endpoints and serves responses in
 wide format easy for researchers to handle but also provides tools to access
 API responses as a list.

Package: r-cran-valh
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 301
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-googlepolylines, r-cran-curl, r-cran-sf
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-valh_0.1.0-1.ca2004.1_all.deb
Size: 100672
MD5sum: 49c83c404a9b6d7d79e3077fa87f6166
SHA1: 94b839438f63b8bcd4eca837a6b26808a38a2222
SHA256: b33fcb403e62a90222a0f355a57470263e74ed3fbf0e295604bba25f4be56ad3
SHA512: 46ff9a07bfe1ab59fdd676bbe81cf057cf4e7b4d2d9b8b08b338a2353ac0c2a4d30f72161c8b4d541ac25a9596b84e47f40bdad0f32aab44eca49ebf14742272
Homepage: https://cran.r-project.org/package=valh
Description: CRAN Package 'valh' (Interface Between R and the OpenStreetMap-Based Routing ServiceValhalla)
 An interface between R and the 'Valhalla' API. 'Valhalla' is a routing
 service based on 'OpenStreetMap' data.  See
 <https://valhalla.github.io/valhalla/> for more information.  This package
 enables the computation of routes, trips, isochrones and travel distances
 matrices (travel time and kilometer distance).

Package: r-cran-valhallr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 484
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-jsonlite, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-tidyr, r-cran-sf, r-cran-leaflet, r-cran-ggplot2, r-cran-htmltools, r-cran-stringr, r-cran-ggspatial, r-cran-geojsonio, r-cran-rlang, r-cran-cairo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-valhallr_0.1.0-1.ca2004.1_all.deb
Size: 317584
MD5sum: 8c955b1ed02439f43df3517f592ac027
SHA1: 98cfe3ef524434125cd958ddfdf6943208b1493b
SHA256: 093c41b417e492e7a40d6c5f5763fc093684994812d93c7545be01d90b2262b4
SHA512: 1ecf24d699ce9238d82e8946e42c83e46283d843261ef72c0c4eeb478a35344e46268daef465b42eedf72182e0858254f10bb3ebf4826c31a66474fb73fd0b9f
Homepage: https://cran.r-project.org/package=valhallr
Description: CRAN Package 'valhallr' (A Tidy Interface to the 'Valhalla' Routing Engine)
 An interface to the 'Valhalla' routing engine’s application programming
 interfaces (APIs) for turn-by-turn routing, isochrones, and
 origin-destination analyses. Also includes several user-friendly functions
 for plotting outputs, and strives to follow "tidy" design principles. Please
 note that this package requires access to a running instance of 'Valhalla',
 which is open source and can be downloaded from
 <https://github.com/valhalla/valhalla>.

Package: r-cran-validann
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-moments
Suggests: r-cran-nnet, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-validann_1.2.1-1.ca2004.1_all.deb
Size: 104192
MD5sum: 65996b5957fd4c5bec2bc52b51bb8073
SHA1: 950ed50ebb5cba8fa8eeaede7a3c290b7abff336
SHA256: 0aca1cb9149137d28c6592b438da0d0302ff29030f3dc06f0184a098bd27e3c1
SHA512: d21b8bfaab1957557c4ed2169bf10704568d1d07bbf0546baf28bc1e1eb039fa34e1be9705149eb709d75ed3fe7aebd4df69ca14154fd0188b82ce79ddca0855
Homepage: https://cran.r-project.org/package=validann
Description: CRAN Package 'validann' (Validation Tools for Artificial Neural Networks)
 Methods and tools for analysing and validating the outputs and modelled
 functions of artificial neural networks (ANNs) in terms of predictive,
 replicative and structural validity. Also provides a method for fitting
 feed-forward ANNs with a single hidden layer.

Package: r-cran-validata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1731
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-stringr, r-cran-janitor, r-cran-rlang, r-cran-tidyselect, r-cran-purrr, r-cran-magrittr, r-cran-tidyr, r-cran-tibble, r-cran-gtools, r-cran-listviewer, r-cran-data.table, r-cran-scales, r-cran-bbmisc, r-cran-framecleaner, r-cran-badger, r-cran-rlist
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testit, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-validata_0.1.0-1.ca2004.1_all.deb
Size: 361768
MD5sum: b6697d81c4857b4c599ee166c83d22a7
SHA1: 3abc9e93b5adeccc5a2f3c912f016a8a3589a32b
SHA256: 9e5c940217515394451d707fc5a24d3ea079ef0a8333f75c665bea77711c6e07
SHA512: 9b43ca29036ba064c47393ba1743390fbd535517e4521268ad4828b66927b408f2bc202416a09a537ec98c70712c7cff740c56ce53e19eb8f54d15be5b3fcb08
Homepage: https://cran.r-project.org/package=validata
Description: CRAN Package 'validata' (Validate Data Frames)
 Functions for validating the structure and properties of data frames.
 Answers essential questions about a data set after initial import or
 modification. What are the unique or missing values? What columns form a
 primary key? What are the properties of the numeric or categorical columns?
 What kind of overlap or mapping exists between 2 columns?

Package: r-cran-validatedb
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-validate, r-cran-dplyr, r-cran-dbplyr
Suggests: r-cran-testthat, r-cran-rsqlite, r-cran-covr
Filename: pool/dists/focal/main/r-cran-validatedb_0.1.4-1.ca2004.1_all.deb
Size: 172484
MD5sum: cabca18c0db677d161ac8873f168903d
SHA1: 780bdcc09386338e37662b4a1e26aee12eb46625
SHA256: 2c6366a422fe5eaef522151c8c4ea39a46034d187a7bbaf5a23aa8101b58f070
SHA512: 1786f1313f8b8114b0f863f0fcaa46dc9b1386829dd1d0fd6eaf06ab8b5d168bad6564ce4eb19de3343168e35689baf6ef0f8105d6a6e86289e5018af0848c0f
Homepage: https://cran.r-project.org/package=validatedb
Description: CRAN Package 'validatedb' (Validate Data in a Database using 'validate')
 Check whether records in a database table are valid using validation rules
 in R syntax specified with R package 'validate'.  R validation checks are
 automatically translated to SQL using 'dbplyr'.

Package: r-cran-validateit
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 299
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-pymturkr, r-cran-rlang, r-cran-tm, r-cran-here, r-cran-snowballc
Suggests: r-cran-roxygen2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-validateit_1.2.1-1.ca2004.1_all.deb
Size: 269840
MD5sum: 1cc22060b4b2ee7cd3ba679770c23faa
SHA1: 50103de72f00f6665001238fddc1c909c5be303b
SHA256: 5f4641966d21deb9cc3143df9526972608eda750de7db38020280b37f0bc82f2
SHA512: e542da8d55f54b31e3f5b13e869686fc1824ed5fa2844c85cdf4fcd8457b7244194c356dbd7f71b38db419441b7fc2cb277e0ba04e08ca104a5ea55cdbf2f526
Homepage: https://cran.r-project.org/package=validateIt
Description: CRAN Package 'validateIt' (Validating Topic Coherence and Topic Labels)
 By creating crowd-sourcing tasks that can be easily posted and results
 retrieved using Amazon's Mechanical Turk (MTurk) API, researchers can use
 this solution to validate the quality of topics obtained from unsupervised
 or semi-supervised learning methods, and the relevance of topic labels
 assigned. This helps ensure that the topic modeling results are accurate and
 useful for research purposes. See Ying and others (2022)
 <doi:10.1101/2023.05.02.538599>. For more information, please visit
 <https://github.com/Triads-Developer/Topic_Model_Validation>.

Package: r-cran-validaters
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-truncnorm, r-cran-triangle, r-cran-reshape2, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-validaters_1.0.0-1.ca2004.1_all.deb
Size: 125220
MD5sum: f9d8f07024e270185b330cebc47be832
SHA1: 9e9032a5e71ca54ff52f2510640668370c538a36
SHA256: aa579429d098d24def78e110ad1cec6e25b8c713776a118cdd3d1e92c83ab899
SHA512: 52f174a918742a0b96890bd61243a85de0dfab112310f01a1ebdfe27d3f5a4d4e79e736c1b2503d01198a00b8b6981233ac70da101323f2063d996a042169e9e
Homepage: https://cran.r-project.org/package=validateRS
Description: CRAN Package 'validateRS' (One-Sided Multivariate Testing Procedures for Rating Systems)
 An implementation of statistical tests for the validation of rating systems
 as described in the ECB Working paper ''Advances in multivariate
 back-testing for credit risk underestimation'', by F. Coppens, M. Mayer, L.
 Millischer, F.  Resch, S. Sauer, K. Schulze (ECB WP series, forthcoming).

Package: r-cran-validatesuggest
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-validate, r-cran-whisker, r-cran-rpart
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-validatesuggest_0.3.2-1.ca2004.1_all.deb
Size: 72744
MD5sum: 8a5774a171bc26ce6abf02525abfda5e
SHA1: 9a60abd715a7431928e5f78e9f177eaaad2968d3
SHA256: bf4d32f2f27bcbe53da4f86f3e394fabaac6257a321237d3548383b72ac5738d
SHA512: ef13711d5ccd55f19e92991e06b2c8bd9c7d1cfad5a088038211bcd56d7315aef2da428d63878bf1d360b88e139de83f20f0f24c2fa7ab2957f85e76494be8b9
Homepage: https://cran.r-project.org/package=validatesuggest
Description: CRAN Package 'validatesuggest' (Generate Suggestions for Validation Rules)
 Generate suggestions for validation rules from a reference data set, which
 can be used as a starting point for domain specific rules to be checked with
 package 'validate'.

Package: r-cran-validatetools
Architecture: all
Version: 0.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-validate, r-cran-lpsolveapi
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-validatetools_0.5.2-1.ca2004.1_all.deb
Size: 127812
MD5sum: 4db82581c67ae5df6ab18c9636b93201
SHA1: 9654942861e8aedeacd8ae1b9b3aa7558f3a94a0
SHA256: ac51a795d30146767e711b9f49fdb4447abee6a8fadbf33e646392850d05066b
SHA512: 71e157c782441ad1e7ef9749bd7ec1a273ce68b8e9be01e96f479e25113e1edc2cff95995b3e70d2fcdefeefa52a89796cb157ecc42f35d7a731b3ca68d217fb
Homepage: https://cran.r-project.org/package=validatetools
Description: CRAN Package 'validatetools' (Checking and Simplifying Validation Rule Sets)
 Rule sets with validation rules may contain redundancies or contradictions.
 Functions for finding redundancies and problematic rules are provided, given
 a set a rules formulated with 'validate'.

Package: r-cran-validiclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-diptest, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-validiclust_0.1.0-1.ca2004.1_all.deb
Size: 28072
MD5sum: 7266d1b497bad1bb408a1f5b180ae036
SHA1: c427c24e5feab6f4536afe26ac37d5148823ae8b
SHA256: 0aa613c1adc4b5abf2a82a30ef23d160868e7917a40167a11c9573c5e340bf44
SHA512: 19dfccb871302dd9636c5658900092e73f4c47ab24bef0e2433c6ce5bee573ae19d72c0d007ea4f9d1b4413c15951017b4962d920680958a957dd1e111b951e2
Homepage: https://cran.r-project.org/package=VALIDICLUST
Description: CRAN Package 'VALIDICLUST' (VALID Inference for Clusters Separation Testing)
 Given a partition resulting from any clustering algorithm, the implemented
 tests allow valid post-clustering inference by testing if a given variable
 significantly separates two of the estimated clusters.  Methods are detailed
 in: Hivert B, Agniel D, Thiebaut R & Hejblum BP (2022).  "Post-clustering
 difference testing: valid inference and practical considerations",
 <arXiv:2210.13172>.

Package: r-cran-validmind
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-reticulate, r-cran-dplyr, r-cran-plotly, r-cran-htmltools, r-cran-rmarkdown, r-cran-dt, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-validmind_0.1.2-1.ca2004.1_all.deb
Size: 40580
MD5sum: 6d64198bcf2f6af0e00d7e73709785fa
SHA1: 36e3e3939f893be8316ab261a5205e41762d2eef
SHA256: a26a28c2a747028d5f4578f7dfeaa3d4606b74e730f930d0f23939db89c98a68
SHA512: c6abac8200d22780511e4259ea99e7bf01a6da2b43ed7ae8cb7578e0143842d4ef6b4feedb657367874f6c68c9acf7d989a09ce62fdbcc78f4a7476cb4b82523
Homepage: https://cran.r-project.org/package=validmind
Description: CRAN Package 'validmind' (Interface to the 'ValidMind' Platform)
 Deploy, execute, and analyze the results of models hosted on the 'ValidMind'
 platform <https://validmind.com>. This package interfaces with the 'Python'
 client library in order to allow advanced diagnostics and insight into
 trained models all from an 'R' environment.

Package: r-cran-valmetrics
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2043
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-valmetrics_1.0.0-1.ca2004.1_all.deb
Size: 1315644
MD5sum: 2f099210cfde741e619c74411fa709bc
SHA1: aefb504c90c57d1d2ff67e117cbe85605f5cf759
SHA256: cbfd81d86ce8591331eeb449e3b4ca3003836e5f22982407830449c0c38ae0ad
SHA512: 950a65263900344f7136659d2c2735dd1002573362afca02741db784447d9804949a8258636db6d2a8045a398d64dedfc33a75a6ecfedce972cdd5a57f2c267e
Homepage: https://cran.r-project.org/package=valmetrics
Description: CRAN Package 'valmetrics' (Metrics and Plots for Model Evaluation)
 Functions for metrics and plots for model evaluation. Based on vectors of
 observed and predicted values. Method: Kristin Piikki, Johanna Wetterlind,
 Mats Soderstrom and Bo Stenberg (2021). <doi:10.1111/SUM.12694>.

Package: r-cran-valottery
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-valottery_0.0.1-1.ca2004.1_all.deb
Size: 221376
MD5sum: b20e75fcf66b7446d12df90dd216c5bd
SHA1: 1ada36f71ae4d2a93170f6fd1aa0861bd79588e7
SHA256: cdeb361f0f9b2abcf48490f23919797d02cc16afa63c23dc9eb6ca36153eea95
SHA512: 5508af2140afbd7c9e6469f80b9dd3bb23bb08892bd00406fc86a1fd45de4c5f11ade7fbd400aeb21dfd61011789f934010eb30d8101a1012116ea269632e766
Homepage: https://cran.r-project.org/package=valottery
Description: CRAN Package 'valottery' (Results from the Virginia Lottery Draw Games)
 Historical results for the state of Virginia lottery draw games. Data were
 downloaded from https://www.valottery.com/.

Package: r-cran-valueeq5d
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-testthat
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-valueeq5d_0.7.2-1.ca2004.1_all.deb
Size: 487052
MD5sum: dc1b34b2186e6e37d00dc142aa821c91
SHA1: 55d5c4e456705d1056fb0b703b09a00e255650ae
SHA256: e431ff43e61abfa8e490b4f4b0f1728a83720c392e15c6ef2efbd6c1736720b4
SHA512: 144a42c713591551572222457a1993abb5f8d233820123b329ca5a5ca916384a609e0528c5d71cdb7ccfaf7ef5451df80168f28afb48e41dd6f15ef610f3e414
Homepage: https://cran.r-project.org/package=valueEQ5D
Description: CRAN Package 'valueEQ5D' (Scoring EQ-5d Descriptive System)
 EQ-5D is a standard instrument (<https://euroqol.org/eq-5d-instruments/>)
 that measures the quality of life often used in clinical and economic
 evaluations of health care technologies. Both adult versions of EQ-5D
 (EQ-5D-3L and EQ-5D-5L) contain a descriptive system and visual analog
 scale. The descriptive system measures the patient's health in 5 dimensions:
 the 5L versions has 5 levels and 3L version has 3 levels. The descriptive
 system scores are usually converted to index values using country specific
 values sets (that incorporates the country preferences). This package allows
 the calculation of both descriptive system scores to the index value scores.
 The value sets for EQ-5D-3L are from the references mentioned in the website
 <https://euroqol.org/eq-5d-instruments/eq-5d-3l-about/valuation/> The value
 sets for EQ-5D-3L for a total of 31 countries are used for the valuation
 (see the user guide for a complete list of references).  The value sets for
 EQ-5D-5L are obtained from references mentioned in the
 <https://euroqol.org/eq-5d-instruments/eq-5d-5l-about/valuation-standard-value-sets/>
 and other sources.  The value sets for EQ-5D-5L for a total of 17 countries
 are used for the valuation (see the user guide for a complete list of
 references).  The package can also be used to map 5L scores to 3L index
 values for 10 countries: Denmark, France, Germany, Japan, Netherlands,
 Spain, Thailand, UK, USA, and Zimbabwe.  The value set and method for
 mapping are obtained from Van Hout et al (2012) <doi:
 10.1016/j.jval.2012.02.008>.

Package: r-cran-valuemap
Architecture: all
Version: 2.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-sf, r-cran-leaflet, r-cran-htmltools, r-cran-dplyr, r-cran-devtools, r-cran-h3jsr
Filename: pool/dists/focal/main/r-cran-valuemap_2.0.4-1.ca2004.1_all.deb
Size: 88112
MD5sum: 126451b95f19c40425013c8b122ee538
SHA1: e4c24cead3407aec9757abf449a50ee7c9cc742a
SHA256: c2a078109d19fa39f7245cf562636b65318dce0ec53e2281adbdda98fdce4496
SHA512: 8bb16c6f53f7cc76f704ec963c3162301ac6b3b2dad21a7fb4f8f4d8ef08ded030e54abfc8f8ab9bc1e24dff3e55424fbec1c725a2764b690d62463de694b9c7
Homepage: https://cran.r-project.org/package=valuemap
Description: CRAN Package 'valuemap' (Making Choropleth Map)
 You can easily visualize your 'sf' polygons or data.frame with h3 address.
 While 'leaflet' package is too raw for data analysis, this package can save
 data analysts' efforts & time with pre-set visualize options.

Package: r-cran-valuesetcompare
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 213
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-eq5dsuite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-valuesetcompare_1.0.0-1.ca2004.1_all.deb
Size: 179136
MD5sum: 5c670de35ee2be0c55bca1b07fbb8fde
SHA1: 3cf184a9a39a66521aca07eb04d46829d30a6ee1
SHA256: c538d5bdb27796e835236d086d805734184923b1bd1de8a31630125e877784cf
SHA512: a3379e60c8df0e55996676a23636bc5a005d3632016bec5b32a880c2b9ed4116e58bb3fbe566c19c028b40919a6d37888af76975d26490d8573166fe2a9f1edc
Homepage: https://cran.r-project.org/package=valueSetCompare
Description: CRAN Package 'valueSetCompare' (Comparing HRQoL Instrument Value Sets)
 The number of countries with multiple Health Related Quality of Life (HRQL)
 value sets is growing, and this trend is expected to continue.  Each
 instrument and value set characterizes and values health differently.
 Identical health states can yield different utility values when valued using
 different value sets. The 'valueSetCompare' package facilitates comparisons
 of HRQoL value sets, enabling both theoretical and empirical comparisons.
 For empirical comparisons, it employs a novel simulation-based method by
 Jiang et al. (2022) <doi:10.1186/s12955-022-02031-8>, allowing users to
 investigate the responsiveness of HRQoL instruments across the entire health
 spectrum using cross-sectional data with external health anchors.

Package: r-cran-vam
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1111
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-matrix
Suggests: r-cran-seurat, r-cran-seuratobject, r-cran-sctransform
Filename: pool/dists/focal/main/r-cran-vam_1.1.0-1.ca2004.1_all.deb
Size: 899860
MD5sum: 674af3f4c714f04fd085f5022e855188
SHA1: ed9acd6185fcfe4d87dd77b2d97c774c2bbc5c15
SHA256: 36405ea7e6714457b2e59b76a6c5548b6123b6ca06713ec41a3ee04cb572548b
SHA512: 070738ba1d42d79927653a4e5f7789cf6712dc6ffa3a6de7d822cea76de47fcbdfd777e5cce892836ce19dcc14e938659bf67916a35e4f60c9bf3685e27f9dce
Homepage: https://cran.r-project.org/package=VAM
Description: CRAN Package 'VAM' (Variance-Adjusted Mahalanobis)
 Contains logic for cell-specific gene set scoring of single cell RNA
 sequencing data.

Package: r-cran-vamc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rdpack
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vamc_0.2.1-1.ca2004.1_all.deb
Size: 311672
MD5sum: e1ed92b581c55d9bd16714ff05f63003
SHA1: 368097b5c6b402bf5e3b41ebc5c408f669edd8d9
SHA256: 386c4581d43a9565cd409a469363545ed0f9612c8cf6f009f5954731b9cec389
SHA512: f9108fe27fdf3a4ae4097ae2b3e365f3a55704168bafab164127e772c97a86b8373df612ba8d60cbb85d3f54578da9e963da3e34ae813297fa1f899153f1f3b1
Homepage: https://cran.r-project.org/package=vamc
Description: CRAN Package 'vamc' (A Monte Carlo Valuation Framework for Variable Annuities)
 Implementation of a Monte Carlo simulation engine for valuing synthetic
 portfolios of variable annuities, which reflect realistic features of common
 annuity contracts in practice.  It aims to facilitate the development and
 dissemination of research related to the efficient valuation of a portfolio
 of large variable annuities. The main valuation methodology was proposed by
 Gan (2017) <doi:10.1515/demo-2017-0021>.

Package: r-cran-vampyr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-psych, r-cran-efa.mrfa, r-cran-gparotation, r-cran-pcovr, r-cran-moments, r-cran-corpcor, r-cran-lavaan, r-cran-fungible, r-cran-semplot
Filename: pool/dists/focal/main/r-cran-vampyr_1.1.1-1.ca2004.1_all.deb
Size: 106596
MD5sum: 86c7961c45494ca9db206bebb029febf
SHA1: f1dc3dca2aed489790b1d9a3e9ec0133db9f153c
SHA256: 3631703ee5741bbe864d216b30ee5a7e56cd06a55a65af519076c021dd873d59
SHA512: 2971d378288c13b612ad7367e49d5fdb7705357466f4a07422d9518441d7befbb5d7a25a33e23ad3cdfb27197ab2233b196f93a657f9c60edf0de336629df52d
Homepage: https://cran.r-project.org/package=vampyr
Description: CRAN Package 'vampyr' (Factor Analysis Controlling the Effects of Response Bias)
 Vampirize the response biases from a dataset! Performs factor analysis
 controlling the effects of social desirability and acquiescence using the
 method described in Ferrando, Lorenzo-Seva & Chico (2009)
 <doi:10.1080/10705510902751374>.

Package: r-cran-vancouvr
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-rlang, r-cran-urltools, r-cran-readr, r-cran-digest, r-cran-sf, r-cran-geojsonsf, r-cran-tibble, r-cran-purrr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-lwgeom, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-vancouvr_0.1.8-1.ca2004.1_all.deb
Size: 275836
MD5sum: 8f6b3d5a1877e44c70a34af3fd796d98
SHA1: 53875950ff5df48b3ca6f252578667adcbb6fe96
SHA256: bcdf8487434d27b24e3bed2cb4ed9495f67be4438cf0aefc7ecf0231fedaa25c
SHA512: 51b926981cb2e55f6b6dec9cfd1b9352aca462ba525367e324bddf83b8bf4f244deab7187fb80004b4ceba5999493dbb8fd98b5455834abd1e1b4215fa37707a
Homepage: https://cran.r-project.org/package=VancouvR
Description: CRAN Package 'VancouvR' (Access the 'City of Vancouver' Open Data API)
 Wrapper around the 'City of Vancouver' Open Data API
 <https://opendata.vancouver.ca/api/v2/console> to simplify and standardize
 access to 'City of Vancouver' open data.  Functionality to list the data
 catalogue and access data and geographic records.

Package: r-cran-vandalico
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 69
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rocr
Filename: pool/dists/focal/main/r-cran-vandalico_0.1.0-1.ca2004.1_all.deb
Size: 37612
MD5sum: 0e01f17808689f4e8d7fe055e1b3e625
SHA1: 0ff429539398cda8976cc22cf4ff0c33fd22ae41
SHA256: 7d844e79753659ce0bcb2f33b2820940e5d12c28fddf4b81a58f5a8a83665bfe
SHA512: 61e956d84f1680d51b552da6b9449c1bec6e2ee4d465d5fabebae3301012f54c334b8d77271988d8bd68e6b5f7f5cf0a16551eab6f4da15ee82010eceac4b4e8
Homepage: https://cran.r-project.org/package=vandalico
Description: CRAN Package 'vandalico' (Evaluation of Presence-Absence Models)
 Collection of functions to evaluate presence-absence models. It comprises
 functions to adjust discrimination statistics for the representativeness
 effect through case-weighting, along with functions for visualizing the
 outcomes. Originally outlined in: Jiménez-Valverde (2022) The uniform AUC:
 dealing with the representativeness effect in presence-absence models.
 Methods Ecol. Evol, 13, 1224-1236.

Package: r-cran-vanddraabe
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 948
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bio3d, r-cran-cowplot, r-cran-fastcluster, r-cran-ggplot2, r-cran-openxlsx, r-cran-reshape2, r-cran-scales
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vanddraabe_1.1.1-1.ca2004.1_all.deb
Size: 877248
MD5sum: 27e72ce5cf4f1115f90a23c4c11c566c
SHA1: 1c41b49b65e617ce4db9c43a9e5b0e60d504d9e6
SHA256: e7fef3a6cb49aceed2a3024977e4664926ca64604fb0d4e702416935e78c2b21
SHA512: 20ad6e7b438d7a088105827d43f934146973ce3b969f40e4dd0af6b3efa95f49817e39e2bb0edb43d69db83f9d94cf563588d249676f361f4c1f6b8a3c20473c
Homepage: https://cran.r-project.org/package=vanddraabe
Description: CRAN Package 'vanddraabe' (Identification and Statistical Analysis of Conserved Waters NearProteins)
 Identify and analyze conserved waters within crystallographic protein
 structures and molecular dynamics simulation trajectories. Statistical
 parameters for each water cluster, informative graphs, and a PyMOL session
 file to visually explore the conserved waters and protein are returned.
 Hydrophilicity is the propensity of waters to congregate near specific
 protein atoms and is related to conserved waters. An informatics derived set
 of hydrophilicity values are provided based on a large, high-quality X-ray
 protein structure dataset.

Package: r-cran-vangogh
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vangogh_0.1.1-1.ca2004.1_all.deb
Size: 72272
MD5sum: 9c68951579b94ef503f5fbcb6bf8e34f
SHA1: e195e206b1e34a9d11ede93954ab6bd84167b229
SHA256: 7a7748b157984a0e50cb6e2c24feaa8ce0e77967a7342fd37acf3aaebe7dbeda
SHA512: c2dbcb1149bc1b94f55d43dc99a230e28b5bda3339e84c0f062cb8e51b317fd231482acef274ed01cc0d9a43ab4f81ffd5e401826360a2c5eb1427d3595db9d4
Homepage: https://cran.r-project.org/package=vangogh
Description: CRAN Package 'vangogh' (A Vincent Van Gogh Color Palette Generator)
 Palettes generated from Vincent van Gogh's paintings.

Package: r-cran-vannstats
Architecture: all
Version: 1.5.4.07-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1701
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gdata, r-cran-plm, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang, r-cran-purrr, r-cran-formula.tools, r-cran-gplots, r-cran-rstatix, r-cran-stringr, r-cran-ggrepel, r-cran-ggpubr, r-cran-desctools
Filename: pool/dists/focal/main/r-cran-vannstats_1.5.4.07-1.ca2004.1_all.deb
Size: 1685576
MD5sum: 6a81c20f0b211c17ac07b07e49fa9df1
SHA1: e03d330cb6e6dc95bf7ac96b4760dc27b8738fda
SHA256: 1c15f88f45f34d25e05811459bc8bd30642b1533ec7c815b7b056897123a425b
SHA512: fab9a99fede4afe8e29c71a5f184dd74bf22d62538eac5dfdf7300c29ef1249aa68b9409efda6a307660e9d1c751ebb22388b413ef84d11ad456be658339caff
Homepage: https://cran.r-project.org/package=vannstats
Description: CRAN Package 'vannstats' (Simplified Statistical Procedures for Social Sciences)
 Simplifies functions assess normality for bivariate and multivariate
 statistical techniques. Includes functions designed to replicate plots and
 tables that would result from similar calls in 'SPSS', including hst(),
 box(), qq(), tab(), cormat(), and residplot(). Also includes simplified
 formulae, such as mode(), scatter(), p.corr(), ow.anova(), and rm.anova().

Package: r-cran-vanquish
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 270
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-changepoint, r-cran-e1071, r-cran-ggplot2, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-vanquish_1.0.0-1.ca2004.1_all.deb
Size: 235012
MD5sum: ab41c70cded8bf8d39b32f959e3abfc0
SHA1: 9f5ec23ba151b9287ce163bad2c87de54d3ee7b1
SHA256: 9c9903b16304c041d12f6b2486d67a78b5e3299a202f9966970d4e6bf0394ee6
SHA512: c32d1cd1155d3970c4bb1d06eefb8667dc4bdde1ee341884217c5bda21c83c46ba406024adea760b3081027c687ab20cb8b44622204fd9c23c61536be242ff46
Homepage: https://cran.r-project.org/package=vanquish
Description: CRAN Package 'vanquish' (Variant Quality Investigation Helper)
 Imports Variant Calling Format file into R. It can detect whether a sample
 contains contaminant from the same species.  In the first stage of the
 approach, a change-point detection method is used to identify copy number
 variations for filtering.  Next, features are extracted from the data for a
 support vector machine model. For log-likelihood calculation, the deviation
 parameter is estimated by maximum likelihood method. Using a radial basis
 function kernel support vector machine, the contamination of a sample can be
 detected.

Package: r-cran-var.etp
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 220
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-var.etp_1.1-1.ca2004.1_all.deb
Size: 190644
MD5sum: ef81af16785716115dfdb026573be5f6
SHA1: fc9a50a7c614545ef3c12513d69529d368861b2c
SHA256: cd6d158c162c466c2bde3d89a1bcc82ead7d2ef36a13ca73bdde9c893409765c
SHA512: 350c49259bb5801efe757ea8c53c99efa6c250fdf4512a18ab55a07fecff7258fa692407f3257b147e37ddbf73bf8616fe976445a47506034674557c1a36a153
Homepage: https://cran.r-project.org/package=VAR.etp
Description: CRAN Package 'VAR.etp' (VAR Modelling: Estimation, Testing, and Prediction)
 A collection of the functions for estimation, hypothesis testing, prediction
 for stationary vector autoregressive models.

Package: r-cran-var.spec
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-var.spec_1.0-1.ca2004.1_all.deb
Size: 122008
MD5sum: ba290d274cbeea7951693949324add85
SHA1: 5fd4beddef5b257e0893ab1603d2fa2b75d16340
SHA256: 73a403aa9e98f6b5bda87c9c0dc15c781b74ce94f0bcb356a47be043060500d0
SHA512: 1b27caa7cf5c3ab5d29827649581ed71a2bc21a3f4ba635bf03125ae9c2aae6992683e8d160878a5caacfbd2c1569dc9cd93e5e7d3d9c51b471330997712e015
Homepage: https://cran.r-project.org/package=VAR.spec
Description: CRAN Package 'VAR.spec' (Allows Specifying a Bivariate VAR (Vector Autoregression) withDesired Spectral Characteristics)
 The spectral characteristics of a bivariate series (Marginal Spectra,
 Coherency- and Phase-Spectrum) determine whether there is a strong presence
 of short-, medium-, or long-term fluctuations (components of certain
 frequencies in the spectral representation of the series) in each one of
 them.  These are induced by strong peaks of the marginal spectra of each
 series at the corresponding frequencies. The spectral characteristics also
 determine how strongly these short-, medium-, or long-term fluctuations of
 the two series are correlated between the two series. Information on this is
 provided by the Coherency spectrum at the corresponding frequencies.
 Finally, certain fluctuations of the two series may be lagged to each other.
 Information on this is provided by the Phase spectrum at the corresponding
 frequencies. The idea in this package is to define a VAR (Vector
 autoregression) model with desired spectral characteristics by specifying a
 number of polynomials, required to define the VAR. See Ioannidis(2007)
 <doi:10.1016/j.jspi.2005.12.013>. These are specified via their roots,
 instead of via their coefficients. This is an idea borrowed from the Time
 Series Library of R. Dahlhaus, where it is used for defining ARMA models for
 univariate time series. This way, one may e.g. specify a VAR inducing a
 strong presence of long-term fluctuations in series 1 and in series 2, which
 are weakly correlated, but lagged by a number of time units to each other,
 while short-term fluctuations in series 1 and in series 2, are strongly
 present only in one of the two series, while they are strongly correlated to
 each other between the two series. Simulation from such models allows
 studying the behavior of data-analysis tools, such as estimation of the
 spectra, under different circumstances, as e.g. peaks in the spectra,
 generating bias, induced by leakage.

Package: r-cran-varbin
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rpart
Filename: pool/dists/focal/main/r-cran-varbin_0.2.1-1.ca2004.1_all.deb
Size: 48752
MD5sum: 36178be099eba316258334d96a5bf60d
SHA1: ca440ebf4c80c53754bd7f5bc451f0f2bf2b8484
SHA256: a3acc331ff0f4ef4e3d5de8deab5afd9f6253a0848d30f5ef1fa67cce3cab722
SHA512: c351f7b9ded4c2d6dd1cdfc3ef8f75c38742a19f0e22b7942abb296002d1c967a910e6b839e85bab9a0d45c5884710b5be00698ce3afcc15de28e49c180b4ea5
Homepage: https://cran.r-project.org/package=varbin
Description: CRAN Package 'varbin' (Optimal Binning of Continuous and Categorical Variables)
 Tool for easy and efficient discretization of continuous and categorical
 data.  The package calculates the most optimal binning of a given
 explanatory variable with respect to a user-specified target variable. The
 purpose is to assign a unique Weight-of-Evidence value to each of the
 calculated binpoints in order to recode the original variable.  The package
 allows users to impose certain restrictions on the functional form on the
 resulting binning while maximizing the overall information value in the
 original data.  The package is well suited for logistic scoring models where
 input variables may be subject to restrictions such as linearity by e.g.
 regulatory authorities. An excellent source describing in detail the
 development of scorecards, and the role of Weight-of-Evidence coding in
 credit scoring is (Siddiqi 2006, ISBN: 978–0-471–75451–0). The package
 utilizes the discrete nature of decision trees and Isotonic Regression to
 accommodate the trade-off between flexible functional forms and maximum
 information value.

Package: r-cran-varbundle
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-glue, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-crayon
Suggests: r-cran-testthat, r-cran-purrr, r-cran-knitr, r-cran-rmarkdown, r-cran-readr
Filename: pool/dists/focal/main/r-cran-varbundle_0.3.0-1.ca2004.1_all.deb
Size: 122072
MD5sum: c732eb373d1128ad1b34087d61274df0
SHA1: ea1eef7c7da132c940317772f4a39a0b9973bb0a
SHA256: d3f2d2f07533228f544f691cd0460c8f04bb12e069cb52ef8f1994cb7c7acfcb
SHA512: 3444c27fc067cfebe8b5096ef8590e7d5878a0781e0909e9f37ac175d52000b090cf79f55742986331dda9db406ebaaee727146466d631d5c4a08454b70c88ad
Homepage: https://cran.r-project.org/package=VarBundle
Description: CRAN Package 'VarBundle' (Read-Only Variable Bundles)
 Easily create list-like structures with constant, read-only variables.
 Combines the flexibility of lists with read-only fields.  Supports defensive
 programming by throwing errors on field assignment, helping mitigate the
 introduction of logical runtime bugs.

Package: r-cran-varclust
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 468
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcppeigen, r-cran-foreach, r-cran-doparallel, r-cran-dorng, r-cran-pesel
Suggests: r-cran-knitr, r-cran-mclust, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-varclust_0.9.4-1.ca2004.1_all.deb
Size: 146020
MD5sum: 1377b24c260f822e28d05919023e4765
SHA1: 142e15008b684edddd8d4dcc4885a224ff28036e
SHA256: b0a5fb6cc7600ec26c440829f412fdcfa54fdbe0f1d0506076b95b7ede1c4b29
SHA512: 91f5ed5d529a6fc50b723cfd96989cc46a07d026c63f6c0cb3e5890c4436ba612567d36b5fc6a915e76641de3d9c2ec187e29e2782a5fb35284be968012169df
Homepage: https://cran.r-project.org/package=varclust
Description: CRAN Package 'varclust' (Variables Clustering)
 Performs clustering of quantitative variables, assuming that clusters lie in
 low-dimensional subspaces. Segmentation of variables, number of clusters and
 their dimensions are selected based on BIC. Candidate models are identified
 based on many runs of K-means algorithm with different random
 initializations of cluster centers.

Package: r-cran-varcpdetectonline
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4291
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-corpcor, r-cran-matrix, r-cran-glmnet, r-cran-doparallel
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-varcpdetectonline_0.2.0-1.ca2004.1_all.deb
Size: 4356552
MD5sum: 9a4070508d6e9c0b54143a1ebca0d6b9
SHA1: 4ce310d961d88a1e17630a4b3f14cfb36199f8a0
SHA256: 5d449fc22bd9e5d3f97f2189c788601e68cc83e52cba5fb8a6362cfe03b48735
SHA512: 0400a516e2f262d6dccc87370de2a8dd044a3e237b8dfbd1886076a537e121d89b50780a2d3f96f5f80fdf2b6484e62b426f3e10ff6bde626a3706443ada100a
Homepage: https://cran.r-project.org/package=VARcpDetectOnline
Description: CRAN Package 'VARcpDetectOnline' (Sequential Change Point Detection for High-Dimensional VARModels)
 Implements the algorithm introduced in Tian, Y., and Safikhani, A. (2024)
 <doi:10.5705/ss.202024.0182>, "Sequential Change Point Detection in
 High-dimensional Vector Auto-regressive Models". This package provides tools
 for detecting change points in the transition matrices of VAR models,
 effectively identifying shifts in temporal and cross-correlations within
 high-dimensional time series data.

Package: r-cran-vardiag
Architecture: all
Version: 0.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 346
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vardiag_0.2-1-1.ca2004.1_all.deb
Size: 321092
MD5sum: f0534a20ba44b7ace42307c97181b6bf
SHA1: c013563dbf2fef5a75d9e46b082a44bc06170b8a
SHA256: a91cf6c15792fa8fb6cdcc6e25db75107e48c03464ef514cbb9b3392d98d6969
SHA512: 6004fd09df6a5888c122f1988904f1cc451f5b2e1fe83be2efc44fea9dc495c59fa833265b13d50d745bf566f612bc6bec6dc498d33ad5ecf2c79d4d9e996499
Homepage: https://cran.r-project.org/package=vardiag
Description: CRAN Package 'vardiag' (Variogram Diagnostics)
 Interactive variogram diagnostics.

Package: r-cran-vardpoor
Architecture: all
Version: 0.20.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 625
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-foreach, r-cran-data.table, r-cran-mass, r-cran-stringr, r-cran-surveyplanning, r-cran-laeken
Filename: pool/dists/focal/main/r-cran-vardpoor_0.20.1-1.ca2004.1_all.deb
Size: 581488
MD5sum: 4a6971f4b69db9e7740d96e7bb48ea84
SHA1: 3e5d72a28005e5cbc61e6424d7add2765ac22eea
SHA256: a64f2aa4b87f6a6936b2435831454e84437bafd439261e1b5ef02349f066c1f9
SHA512: d87a5a1247b705fe936b96e49d4f012d1e5077656fea35955c17f72ee67abd94212cb300461d03667a1f7f9b83651a5b6670dc49ccc7b1480fd3d120644e4c07
Homepage: https://cran.r-project.org/package=vardpoor
Description: CRAN Package 'vardpoor' (Variance Estimation for Sample Surveys by the Ultimate ClusterMethod)
 Generation of domain variables, linearization of several non-linear
 population statistics (the ratio of two totals, weighted income percentile,
 relative median income ratio, at-risk-of-poverty rate, at-risk-of-poverty
 threshold, Gini coefficient, gender pay gap, the aggregate replacement
 ratio, the relative median income ratio, median income below
 at-risk-of-poverty gap, income quintile share ratio, relative median
 at-risk-of-poverty gap), computation of regression residuals in case of
 weight calibration, variance estimation of sample surveys by the ultimate
 cluster method (Hansen, Hurwitz and Madow, Sample Survey Methods And Theory,
 vol. I: Methods and Applications; vol. II: Theory. 1953, New York: John
 Wiley and Sons), variance estimation for longitudinal, cross-sectional
 measures and measures of change for single and multistage stage cluster
 sampling designs (Berger, Y. G., 2015, <doi:10.1111/rssa.12116>). Several
 other precision measures are derived - standard error, the coefficient of
 variation, the margin of error, confidence interval, design effect.

Package: r-cran-vared
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vared_1.0.0-1.ca2004.1_all.deb
Size: 16732
MD5sum: f8ba010084da53b3c0b1c3902f67c009
SHA1: f66026c2e3c31858654bf00180b0a29aaf23393a
SHA256: 11762f9c9f81e28ad9f08a0ab2ad16ed6113ad5504ffe9101793e5560d1aeb7a
SHA512: fc4648a6ceaf5bc6edba64ff35ecf32997a70b5b7c983792fe903fdd3ccee9a6c7c3d99c11e1874e6e0792546b53548baf89580a5f67e30dca004c6ba329614d
Homepage: https://cran.r-project.org/package=VarED
Description: CRAN Package 'VarED' (Variance Estimation using Difference-Based Methods)
 Generating functions for both optimal and ordinary difference sequences, and
 the difference-based estimation functions.

Package: r-cran-vares
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 850
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vares_1.0.2-1.ca2004.1_all.deb
Size: 712648
MD5sum: 8414172a041beedf2309a149e8036411
SHA1: 369711d4d9e5096984631646e00f1a888c6ffe53
SHA256: 953d13711d0eb1835a9de8e5d12f28caca803990792ebf0f7124064c350a8576
SHA512: 139e4196dc808577a8ed09271abb947db6165d27b32471d0828f0be5d143d6d8ba70d19fa69312ad8782ea1ca2ab24b47dc233228a213394fd3de06bfc4d9ad4
Homepage: https://cran.r-project.org/package=VaRES
Description: CRAN Package 'VaRES' (Computes Value at Risk and Expected Shortfall for over 100Parametric Distributions)
 Computes Value at risk and expected shortfall, two most popular measures of
 financial risk, for over one hundred parametric distributions, including all
 commonly known distributions.  Also computed are the corresponding
 probability density function and cumulative distribution function. See Chan,
 Nadarajah and Afuecheta (2015) <doi:10.1080/03610918.2014.944658> for more
 details.

Package: r-cran-varest
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sam, r-cran-caret, r-cran-lm.beta, r-cran-glmnet
Filename: pool/dists/focal/main/r-cran-varest_0.1.0-1.ca2004.1_all.deb
Size: 55252
MD5sum: 454176a0810035057b3a2004f453030c
SHA1: dcac594ddab8ae294e42b919c8a85dba69ead945
SHA256: d241435912b046f3ee10c4d1059f8b31ce3a1ce84bc2683449854f7ee351083d
SHA512: c4532de103d8a56c0e77697f7513a245620c81ddfdbcf5edbd287accbf99751db707e2ff76c87773a6bf4227592d84ab69095fd3b48aa6905d7e7e6f1583a31c
Homepage: https://cran.r-project.org/package=varEst
Description: CRAN Package 'varEst' (Variance Estimation)
 Error variance estimation in ultrahigh dimensional datasets with four
 different methods, viz. Refitted cross validation, k-fold refitted cross
 validation, Bootstrap-refitted cross validation, Ensemble method.

Package: r-cran-varfrompdb
Architecture: all
Version: 2.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 236
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-xml2r, r-cran-curl, r-cran-stringr, r-cran-stringi, r-cran-rismed
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-varfrompdb_2.2.10-1.ca2004.1_all.deb
Size: 157824
MD5sum: f06b8e6e8782dd36dd4ca9fb42e99c81
SHA1: 9c33bd3d7e33e32254686ec9d8edea96a59b8680
SHA256: 680cef1ac8633f134c86fc0776290cafc4b0c6468bcf740c1174ed0c2368443c
SHA512: 2ec6ad3258f888c3289e139ee5d98aa289678f19bae95f178ef6ac4ddbdfcf22b3fb6fa1f7d9835b681a1e04856022b4cbe89559508121516898f449dc400142
Homepage: https://cran.r-project.org/package=VarfromPDB
Description: CRAN Package 'VarfromPDB' (Disease-Gene-Variant Relations Mining from the Public Databasesand Literature)
 Captures and compiles the genes and variants related to a disease, a
 phenotype or a clinical feature from the public databases including HPO
 (Human Phenotype Ontology,
 <http://human-phenotype-ontology.github.io/about.html>), Orphanet
 <http://www.orpha.net/consor/cgi-bin/index.php>, OMIM (Online Mendelian
 Inheritance in Man, <http://www.omim.org>), ClinVar
 <http://www.ncbi.nlm.nih.gov/clinvar>, and UniProt (Universal Protein
 Resource, <http://www.uniprot.org>) and PubMed abstracts. HPO provides a
 standardized vocabulary of phenotypic abnormalities encountered in human
 disease. HPO currently contains approximately 11,000 terms and over 115,000
 annotations to hereditary diseases. Orphanet is the reference portal for
 information on rare diseases and orphan drugs, whose aim is to help improve
 the diagnosis, care and treatment of patients with rare diseases. OMIM is a
 continuously updated catalog of human genes and genetic disorders and
 traits, with particular focus on the molecular relationship between genetic
 variation and phenotypic expression. ClinVar is a freely accessible, public
 archive of reports of the relationships among human variations and
 phenotypes, with supporting evidence. UniProt focuses on amino acid altering
 variants imported from Ensembl Variation databases. For Homo sapiens, the
 variants including human polymorphisms and disease mutations in the UniProt
 are manually curated from UniProtKB/Swiss-Prot. Additionally, PubMed
 provides the primary and latest source of the information. Text mining was
 employed to capture the information from PubMed abstracts.

Package: r-cran-varhandle
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-varhandle_2.0.6-1.ca2004.1_all.deb
Size: 67728
MD5sum: 97d26cdcb7afbf17c275704690125f25
SHA1: 61ab62e57bb4cbabbe2a57413b829352ceb86398
SHA256: 14074a3dafc4acf653cf8bcc9a0263317c2eda61a8b3cdae9bc6c619b9a54de1
SHA512: 638e19199d8c056b82c2a165222dc0dd1e5438cc99c2dd8be683c454967b7c49e4b82908eb0a64a6ea9bda79e4683989e4a88564f4edae31c4f3ef1021ab3fdb
Homepage: https://cran.r-project.org/package=varhandle
Description: CRAN Package 'varhandle' (Functions for Robust Variable Handling)
 Variables are the fundamental parts of each programming language but
 handling them efficiently might be frustrating for programmers. This package
 contains some functions to help user (especially data explorers) to make
 more sense of their variables and take the most out of variables and
 hardware resources. These functions are written and crafted since 2014 with
 years of experience in statistical data analysis on high-dimensional data,
 and for each of them there was a need. Functions in this package are
 supposed to be efficient and easy to use, hence they will be frequently
 updated to make them more convenient.

Package: r-cran-variability
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-variability_0.1.0-1.ca2004.1_all.deb
Size: 48340
MD5sum: d77724a5472a0e5a86a09e78c4e0aa78
SHA1: 0937d34d76e7c14212d3a52bbdf1c1910b374461
SHA256: 12066bfd948c0c375d13915ec91c07059e55f47d3cdad11a5513fd94b6093318
SHA512: f24c4bc3087bf3411b13da5be72e798bc5baf81a8af75ee3300c6c21679a6ce268d07ea62ab5e6f4b8fa63a9981d0d86a8dea82e918ee3ef86860e31db9a3b1e
Homepage: https://cran.r-project.org/package=variability
Description: CRAN Package 'variability' (Genetic Variability Analysis for Plant Breeding Research)
 Performs analysis of various genetic parameters like genotypic and
 phenotypic coefficient of variance, heritability, genetic advance, genetic
 advance as a percentage of mean. The package also has functions for
 genotypic and phenotypic covariance, correlation and path analysis. Dataset
 has been added to facilitate example. For more information refer Singh, R.K.
 and Chaudhary, B.D. (1977, ISBN:81766330709788176633079).

Package: r-cran-variables
Architecture: all
Version: 1.1-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-variables_1.1-2-1.ca2004.1_all.deb
Size: 43296
MD5sum: 9b14a4c30202cd6dc3bae83b09764bc0
SHA1: d7398c812ef70adda2efe663888822335200bc32
SHA256: f552a304d9297ef931c01c6be45a55bb585570c2433e4453aa1a0cb8104d8d85
SHA512: fc73dfa724214da21acec8ae13d1d7580029d8f45e60832ad4a09608d51f99317e307a24f54119f783effecfe459cc6ba4699cd1b9b4481c5237af06c2e235c0
Homepage: https://cran.r-project.org/package=variables
Description: CRAN Package 'variables' (Variable Descriptions)
 Abstract descriptions of (yet) unobserved variables.

Package: r-cran-variablescreening
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gee, r-cran-expm, r-cran-mass, r-cran-energy
Filename: pool/dists/focal/main/r-cran-variablescreening_0.2.1-1.ca2004.1_all.deb
Size: 72260
MD5sum: 970f61e33c7bbedd10ea4849c3792342
SHA1: 991caf29572bd712ed3988a3f3d99d5453e75971
SHA256: 162411d0047f7fb08247160915f74dea3eef2a67504b80a749843802b6b8596a
SHA512: d1458dc9e51dd615a7b945c32f4f9b9cae764b595274d1581d8dc5d885b0a6f89f795e173554ff847b846c023f54097086e5afc707a1f986ed6993775ea82abc
Homepage: https://cran.r-project.org/package=VariableScreening
Description: CRAN Package 'VariableScreening' (High-Dimensional Screening for Semiparametric LongitudinalRegression)
 Implements variable screening techniques for ultra-high dimensional
 regression settings.  Techniques for independent (iid) data,
 varying-coefficient models, and longitudinal data are implemented. The
 package currently contains three screen functions: screenIID(), screenLD()
 and screenVCM(), and six methods for simulating dataset: simulateDCSIS(),
 simulateLD, simulateMVSIS(), simulateMVSISNY(), simulateSIRS() and
 simulateVCM(). The package is based on the work of Li-Ping ZHU, Lexin LI,
 Runze LI, and Li-Xing ZHU (2011) <DOI:10.1198/jasa.2011.tm10563>, Runze LI,
 Wei ZHONG, & Liping ZHU (2012) <DOI:10.1080/01621459.2012.695654>, Jingyuan
 LIU, Runze LI, & Rongling WU (2014) <DOI:10.1080/01621459.2013.850086>
 Hengjian CUI, Runze LI, & Wei ZHONG (2015)
 <DOI:10.1080/01621459.2014.920256>, and Wanghuan CHU, Runze LI and Matthew
 REIMHERR (2016) <DOI:10.1214/16-AOAS912>.

Package: r-cran-varian
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rstan, r-cran-ggplot2, r-cran-mass, r-cran-formula, r-cran-gridextra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-varian_0.2.2-1.ca2004.1_all.deb
Size: 83444
MD5sum: a9d7ff1a34034a48936907215b49e8be
SHA1: d283a2d784fae51798ae7d80931267edee5e76cd
SHA256: 7d6242a27a96b08caabd6692268e9d02a9c0254f560fa8f8ff03161557eed3e4
SHA512: d8e477b4aba76499c048b66a435d8eb5679f0df8b764ccec52540c3ecfa9131578a116f5b7c3f53b4001517d253a557f4218752985d2efa836be1d3db417cfdf
Homepage: https://cran.r-project.org/package=varian
Description: CRAN Package 'varian' (Variability Analysis in R)
 Uses a Bayesian model to estimate the variability in a repeated measure
 outcome and use that as an outcome or a predictor in a second stage model.

Package: r-cran-variancegamma
Architecture: all
Version: 0.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-distributionutils, r-cran-generalizedhyperbolic
Suggests: r-cran-runit
Filename: pool/dists/focal/main/r-cran-variancegamma_0.4-2-1.ca2004.1_all.deb
Size: 142372
MD5sum: e1848a27dab6147713cd7db4808572a1
SHA1: ec8df104c98b9226ee55a143438443e68beb1f5c
SHA256: d73204867b1c4c6487f43ab39e9fec4c28791d507dd07368aa62fd809dd9abd6
SHA512: e41d8159d7a37d25bba6db99f30f586294383045d07fd8da5d638c932459c0ac40dbc592968cf5b957baa646df482301d257ce7db420440dc1a60459a9eed229
Homepage: https://cran.r-project.org/package=VarianceGamma
Description: CRAN Package 'VarianceGamma' (The Variance Gamma Distribution)
 Provides functions for the variance gamma distribution. Density,
 distribution and quantile functions.  Functions for random number generation
 and fitting of the variance gamma to data. Also, functions for computing
 moments of the variance gamma distribution of any order about any location.
 In addition, there are functions for checking the validity of parameters and
 to interchange different sets of parameterizations for the variance gamma
 distribution.

Package: r-cran-variantscan
Architecture: all
Version: 1.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1529
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-bioc-snprelate, r-cran-caret, r-cran-gam, r-cran-modelmetrics
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-variantscan_1.1.9-1.ca2004.1_all.deb
Size: 227668
MD5sum: 9251cfdee739928f95b85db37a7d334f
SHA1: d274d93d77c7e6af46d5b108593a61670da75b8f
SHA256: 82adf2c6be6080ea4d7c19259ebce98824e54ad1a2a3166e3639f77eb3bb8f08
SHA512: 362a6f5182c26dd54681b0a838e36a751acb45857789912aecfcc1c95743bcca0ca066281adf313e0332a9d27f61523a92aec9e64c98e3df77d202e9db28ce35
Homepage: https://cran.r-project.org/package=VariantScan
Description: CRAN Package 'VariantScan' (A Machine Learning Tool for Genetic Association Studies)
 Portable, scalable and highly computationally efficient tool for genetic
 association studies."VariantScan" provides a set of machine learning methods
 (Linear, Local Polynomial Regression Fitting and Generalized Additive Model
 with Local Polynomial Smoothing) for genetic association studies that test
 for disease or trait association with genetic variants (biomarkers,
 e.g.,genomic (genetic loci), transcriptomic (gene expressions), epigenomic
 (methylations), proteomic (proteins), metabolomic (metabolites)).  It is
 particularly useful when local associations and complex nonlinear
 associations exist.

Package: r-cran-variantspark
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1530
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sparklyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-variantspark_0.1.1-1.ca2004.1_all.deb
Size: 1412720
MD5sum: 16b28ca773a33469eb928fc7d2e335d0
SHA1: 6a14e7e8992d7d67814f94e26f9108e10b501118
SHA256: 874e20e352fe2bd53c9f448d1292c9e1d3e4d5d4c0c0a6e8513af4a0850fbd8f
SHA512: cc197545bb3ef95dd2cb0f458c2bb379a2945c89d2f8fcb575999a8585cb8951f1789aed66a85c1cff974faecc0ebd8a06c8a41aa0b319d04b71f16424f185eb
Homepage: https://cran.r-project.org/package=variantspark
Description: CRAN Package 'variantspark' (A 'Sparklyr' Extension for 'VariantSpark')
 This is a 'sparklyr' extension integrating 'VariantSpark' and R.
 'VariantSpark' is a framework based on 'scala' and 'spark' to analyze genome
 datasets, see <https://bioinformatics.csiro.au/>. It was tested on datasets
 with 3000 samples each one containing 80 million features in either
 unsupervised clustering approaches and supervised applications, like
 classification and regression. The genome datasets are usually writing in
 VCF, a specific text file format used in bioinformatics for storing gene
 sequence variations. So, 'VariantSpark' is a great tool for genome research,
 because it is able to read VCF files, run analyses and return the output in
 a 'spark' data frame.

Package: r-cran-variationaldcm
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 199
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-variationaldcm_2.0.1-1.ca2004.1_all.deb
Size: 139060
MD5sum: 3e8eb5f60226a82e205294037f544835
SHA1: 585126175a5d8e7f49b88fe72085fead6479ebfb
SHA256: ffa100983595a294b2bbdce7f2bdad29204b839f4bea6890132f5d9d93882ba8
SHA512: 511a0a0a8de0940c51cdb59aa99b6cee3214dd111791484740a15d94f7add0c9a5ed024e624757b23c23df08b13c71778eef3d172893ee2bd648d54ac1deb16e
Homepage: https://cran.r-project.org/package=variationalDCM
Description: CRAN Package 'variationalDCM' (Variational Bayesian Estimation for Diagnostic ClassificationModels)
 Enables computationally efficient parameters-estimation by variational
 Bayesian methods for various diagnostic classification models (DCMs). DCMs
 are a class of discrete latent variable models for classifying respondents
 into latent classes that typically represent distinct combinations of skills
 they possess. Recently, to meet the growing need of large-scale diagnostic
 measurement in the field of educational, psychological, and psychiatric
 measurements, variational Bayesian inference has been developed as a
 computationally efficient alternative to the Markov chain Monte Carlo
 methods, e.g., Yamaguchi and Okada (2020a) <doi:10.1007/s11336-020-09739-w>,
 Yamaguchi and Okada (2020b) <doi:10.3102/1076998620911934>, Yamaguchi (2020)
 <doi:10.1007/s41237-020-00104-w>, Oka and Okada (2023)
 <doi:10.1007/s11336-022-09884-4>, and Yamaguchi and Martinez (2023)
 <doi:10.1111/bmsp.12308>. To facilitate their applications, 'variationalDCM'
 is developed to provide a collection of recently-proposed variational
 Bayesian estimation methods for various DCMs.

Package: r-cran-varimp
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-measures, r-cran-party
Suggests: r-cran-testthat, r-cran-ranger
Filename: pool/dists/focal/main/r-cran-varimp_0.4-1.ca2004.1_all.deb
Size: 41772
MD5sum: a033cb9d62c1ac7da69045f438deb373
SHA1: 1e4ce1242f10e1038859fd3cd3c46daa38534dad
SHA256: 29fb849efd9c1d93bba70a03ef29a25b6fab351f544f65ec4716e04b66ab3e83
SHA512: bbb9ac5f2a142c7c1a615cf50ea25f7b371ce591f668e020d6d1efc210c31d132d69bb8dcf750905398f604a1059752aa73d5bde623d0ff0adaefd9a1fa88a43
Homepage: https://cran.r-project.org/package=varImp
Description: CRAN Package 'varImp' (RF Variable Importance for Arbitrary Measures)
 Computes the random forest variable importance (VIMP) for the conditional
 inference random forest (cforest) of the 'party' package. Includes a
 function (varImp) that computes the VIMP for arbitrary measures from the
 'measures' package. For calculating the VIMP regarding the measures accuracy
 and AUC two extra functions exist (varImpACC and varImpAUC).

Package: r-cran-variosig
Architecture: all
Version: 0.3-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gstat, r-cran-sp, r-cran-testthat
Suggests: r-cran-geor
Filename: pool/dists/focal/main/r-cran-variosig_0.3-1-1.ca2004.1_all.deb
Size: 38892
MD5sum: 0c7e4763e17f865874cc8de91aa0c74b
SHA1: 0c13eeafde48b99185ce46b4bc9e56240aab67b8
SHA256: 9e960313d22cae1d7e76ec0dd4461d542b1466a2cdf785c241ee826c51871762
SHA512: 013d1c6cfd35c878b61945224837ead5e957d8361c1a17b3e17c9b772da6756d047c3b7aca353c6bc99acff9e5e8a3d9d1b8ec4909087e4c95ff2cc06d97a15b
Homepage: https://cran.r-project.org/package=variosig
Description: CRAN Package 'variosig' (Testing Spatial Dependence Using Empirical Variogram)
 Applying Monte Carlo permutation to generate pointwise variogram envelope
 and checking for spatial dependence at different scales using permutation
 test. Empirical Brown's method and Fisher's method are used to compute
 overall p-value for hypothesis test.

Package: r-cran-variskscore
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-variskscore_1.1.0-1.ca2004.1_all.deb
Size: 16228
MD5sum: f29636785dc988ab5c5a574b3a937d53
SHA1: 3410cd34fa9c7be51bc9d77046b0b41a9dcd40a1
SHA256: 0196f73fdc7e359d17cc49af5ba79523208c8a88b152c302064bb96fcb61acc5
SHA512: d4275cd45b192f7e19e3a97eb449f1696a08c95349a327b8e714ad1782d4a9987347d58ec2fc99da0931300ca882c1c11aebdb7822134bf3611b1d4d457e3a84
Homepage: https://cran.r-project.org/package=vaRiskScore
Description: CRAN Package 'vaRiskScore' (VA CVD Risk Score)
 Estimates the predicted 10-year cardiovascular (CVD) risk score (in
 probability) for women military service members and veterans by inputting
 patient profiles. The proposed women CVD risk score improves the accuracy of
 the existing American College of Cardiology/American Heart Association CVD
 risk assessment tool in predicting long‐term CVD risk for VA women,
 particularly in young and racial/ethnic minority women. See the reference:
 Jeon‐Slaughter, H., Chen, X., Tsai, S., Ramanan, B., & Ebrahimi, R.  (2021)
 <doi:10.1161/JAHA.120.019217>.

Package: r-cran-varitas
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 628
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-dplyr, r-cran-yaml, r-cran-openxlsx, r-cran-venndiagram, r-cran-assertthat, r-cran-magrittr, r-cran-tidyr, r-cran-doparallel, r-cran-foreach
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-futile.logger
Filename: pool/dists/focal/main/r-cran-varitas_0.0.2-1.ca2004.1_all.deb
Size: 375312
MD5sum: ef7ac5d965c904ac165682ff61fb73b4
SHA1: 024ee7d46f984f624a7909b811a6a4e37d9226e5
SHA256: 5e41b0e0c9f4a332b64dbbe07a6d485489f0abd7afbdf88b46fe11ca4e5616d0
SHA512: 5359d4623f885b880093fb137e3d4318318fd7a6f0839451c247973a6a76ddb4ec3153dd888c1dcb6b7cc30d8896f6470bbc90f6b143c021e872e955047c381f
Homepage: https://cran.r-project.org/package=varitas
Description: CRAN Package 'varitas' (Variant Calling in Targeted Analysis Sequencing Data)
 Multi-caller variant analysis pipeline for targeted analysis sequencing
 (TAS) data. Features a modular, automated workflow that can start with raw
 reads and produces a user-friendly PDF summary and a spreadsheet containing
 consensus variant information.

Package: r-cran-varjmcm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jmcm, r-cran-expm, r-cran-mass, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-varjmcm_0.1.1-1.ca2004.1_all.deb
Size: 41912
MD5sum: 4aa3bd90fc63add495684a53675d3b21
SHA1: 8cce62b50b7c1edce53c3fefe2426ead6b17464a
SHA256: de0fb93b31bdff10866422d4da1f517bb97463e3ca011cba1c421d49ef77dafa
SHA512: 96310dc0470d4afa5ea217dc19e0d8b6d02ec915d58aaec8b2a9be8c24a01b4d81c493314a84ca469dc71005702130d1469f14c4c9513abf61d89b5e548411bd
Homepage: https://cran.r-project.org/package=varjmcm
Description: CRAN Package 'varjmcm' (Estimations for the Covariance of Estimated Parameters in JointMean-Covariance Models)
 The goal of the package is to equip the 'jmcm' package (current version
 0.2.1) with estimations of the covariance of estimated parameters. Two
 methods are provided.  The first method is to use the inverse of estimated
 Fisher's information matrix, see M. Pourahmadi (2000)
 <doi:10.1093/biomet/87.2.425>, M. Maadooliat, M. Pourahmadi and J. Z. Huang
 (2013) <doi:10.1007/s11222-011-9284-6>, and W. Zhang, C. Leng, C. Tang
 (2015) <doi:10.1111/rssb.12065>. The second method is bootstrap based, see
 Liu, R.Y. (1988) <doi:10.1214/aos/1176351062> for reference.

Package: r-cran-varmer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1020
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-pracma, r-cran-rgl, r-cran-deldir, r-cran-zoo, r-cran-sf, r-cran-gstat, r-cran-metrics, r-cran-hydrogof, r-cran-tictoc, r-cran-cluster
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rgdal, r-cran-rfmerge
Filename: pool/dists/focal/main/r-cran-varmer_1.0.0-1.ca2004.1_all.deb
Size: 817808
MD5sum: b38b04ff78de978f547594a94fc5616c
SHA1: 50cd253e28cd507649f93773e94eb83b3b30ad90
SHA256: 5aa79a3a02a140ce0d36b82df307e36c1482f1c9414da1397ee3f42c401f3b9c
SHA512: 844c7c73aee62504a93746e48e70e51f44dae9b8a4e847d3a9f8b921e3c70bb72358799b973311643d7159558111a82c04697fa39bde201ab7a6f19027341e7d
Homepage: https://cran.r-project.org/package=VARMER
Description: CRAN Package 'VARMER' (Variational Merging)
 A new mathematical formulation to merge observed data with gridded images of
 environmental variables using partial differential equations in a
 variational setting. The original method was created, developed and
 published by Ulloa, Samaniego, Campozano and Ballari (2018)
 <doi:10.1002/2017JD027982>.

Package: r-cran-varoc
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-proc, r-cran-corrplot
Filename: pool/dists/focal/main/r-cran-varoc_0.4.0-1.ca2004.1_all.deb
Size: 25276
MD5sum: bcab2d3abf8dae9bd47d00808ca4e6f2
SHA1: 0f66a4de8a08521d586a678d85e167cf052c8be8
SHA256: c8a6ef527833e98bd97ed2d62679974c1d8767086caae842bddca6b1ae1f58e0
SHA512: 2d486d52fa504a34c963b1d6461d13a7e10120560fdd6fa95a6748bea721255086e8e0c93b1b46a3139c8605f13568324a0bb2520df0347a411f30ffd937ec18
Homepage: https://cran.r-project.org/package=varoc
Description: CRAN Package 'varoc' (Value Added Receiver Operating Characteristics Curve)
 A continuous version of the receiver operating characteristics (ROC) curve
 to assess both classification and continuity performances of biomarkers,
 diagnostic tests, or risk prediction models.

Package: r-cran-varrank
Architecture: all
Version: 0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 593
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fnn
Suggests: r-cran-boruta, r-cran-fselector, r-cran-caret, r-cran-e1071, r-cran-mlbench, r-cran-psych, r-cran-varselrf, r-cran-gplots, r-cran-entropy, r-cran-testthat, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-varrank_0.5-1.ca2004.1_all.deb
Size: 413232
MD5sum: 1c655735325eaf192fd540d9eeef3f78
SHA1: 65f216e1c516a15cccefaa40c9ae67f452c0020b
SHA256: d6c632fdae6556ad2d4bb1e6c0c378d23d6c1905c05fc3ac3efcbd04f766e641
SHA512: 69506e57e6e05db7ada1b6d0a74d24a58baa31694ad774559b102dce34283e964efc99a17e557e8a6ecf25b1380fe8e851c026763ea68c6e4269b622f90bc2c2
Homepage: https://cran.r-project.org/package=varrank
Description: CRAN Package 'varrank' (Heuristics Tools Based on Mutual Information for VariableRanking)
 A computational toolbox of heuristics approaches for performing variable
 ranking and feature selection based on mutual information well adapted for
 multivariate system epidemiology datasets. The core function is a general
 implementation of the minimum redundancy maximum relevance model. R. Battiti
 (1994) <doi:10.1109/72.298224>. Continuous variables are discretized using a
 large choice of rule. Variables ranking can be learned with a sequential
 forward/backward search algorithm. The two main problems that can be
 addressed by this package is the selection of the most representative
 variable within a group of variables of interest (i.e. dimension reduction)
 and variable ranking with respect to a set of features of interest.

Package: r-cran-varredopt
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-varredopt_0.1.0-1.ca2004.1_all.deb
Size: 36752
MD5sum: 9698c2d8a8fd643e6b6d8351755dc935
SHA1: 3a75d12618091f517c7dda1c4d0591985a1ee0b0
SHA256: 8bf05fef22537dd96ca8e2328ebee71dabaa66b8a8e9450a1ec5adc509520a70
SHA512: 7b6610e9ce946717c958532fb2a90745f7bf42a41102093ffd837fe2a535591a6d3adcd6d74ada28ab2e63fb555c7756646f31731448ebd77a78667a77c7898a
Homepage: https://cran.r-project.org/package=VarRedOpt
Description: CRAN Package 'VarRedOpt' (A Framework for Variance Reduction)
 In order to make it easy to use variance reduction algorithms for any
 simulation, this framework can help you.  We propose user friendly and easy
 to extend framework. Antithetic Variates, Inner Control Variates, Outer
 Control Variates and Importance Sampling algorithms are available in the
 framework. User can write its own simulation function and use the Variance
 Reduction techniques in this package to obtain more efficient simulations.
 An implementation of Asian Option simulation is already available within the
 package. See Kemal Dinçer Dingeç & Wolfgang Hörmann (2012)
 <doi:10.1016/j.ejor.2012.03.046>.

Package: r-cran-varreg
Architecture: all
Version: 2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 242
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sn, r-cran-survival
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-varreg_2.0-1.ca2004.1_all.deb
Size: 204976
MD5sum: b3f01241b02d3eface116ff78eb1ad19
SHA1: 772fb72e4695b7b15a150895745e78bddc49fd30
SHA256: ceef11256cb1168e80a30085b65dd5fb98377087b25ed573d8ee603f4e02eabc
SHA512: 3ca89b56c0419fafc4a403b08d2f68c3c705a1fc981143dc44b04493fbe9d00e1e4a3cdea38a0f49fd76172a8659548e499f2ff63ad490d577ae037e4cd08465
Homepage: https://cran.r-project.org/package=VarReg
Description: CRAN Package 'VarReg' (Semi-Parametric Variance Regression)
 Methods for fitting semi-parametric mean and variance models, with normal or
 censored data. Extended to allow a regression in the location, scale and
 shape parameters, and further for multiple regression in each.

Package: r-cran-vars
Architecture: all
Version: 1.6-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 512
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-strucchange, r-cran-urca, r-cran-lmtest, r-cran-sandwich
Filename: pool/dists/focal/main/r-cran-vars_1.6-1-1.ca2004.1_all.deb
Size: 412884
MD5sum: 9200c1a99cb69234354c742f00cf184e
SHA1: 00233b7cc644043e29c0e12641cb432f25cd2b49
SHA256: 9ff547a0c394af0767417d8741b98e2f84bb8a6368e23422c5dc06abd028cc5b
SHA512: 9c54277b0d33289f392c647438c6174bc8fa24b2f65312b7327e250d799661d1911472095257e213449028a5937bcd484318ba6d2174eec9feed33217fe8c225
Homepage: https://cran.r-project.org/package=vars
Description: CRAN Package 'vars' (VAR Modelling)
 Estimation, lag selection, diagnostic testing, forecasting, causality
 analysis, forecast error variance decomposition and impulse response
 functions of VAR models and estimation of SVAR and SVEC models.

Package: r-cran-varsedig
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2786
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-adehabitaths, r-cran-mass, r-cran-car, r-cran-ade4, r-cran-idpmisc, r-cran-ca, r-cran-ltm, r-cran-psych, r-cran-usdm
Filename: pool/dists/focal/main/r-cran-varsedig_2.1-1.ca2004.1_all.deb
Size: 2231572
MD5sum: 48de453fba283722da7c266d46300d98
SHA1: 83e8675502c68d71a5cb27dce03338ee8a2b4191
SHA256: 6525e8e3a4a80cb43fa8fd3bd337e0bb7126b6633e86461e6727e4198cff4bd4
SHA512: 1e35c563b785ecfcb4313d8998ca02f0285c56d859880b4d722ec627c43b070541ddafc86e71def9414e08dbc43ee6016fd48bed568fcb5e06d168f0d165efb7
Homepage: https://cran.r-project.org/package=VARSEDIG
Description: CRAN Package 'VARSEDIG' (An Algorithm for Morphometric Characters Selection andStatistical Validation in Morphological Taxonomy)
 An algorithm which identifies the morphometric features that significantly
 discriminate two taxa and validates the morphological distinctness between
 them via a Monte-Carlo test, polar coordinates and overlap of the area under
 the density curve.

Package: r-cran-varsel
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1586
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-varsel_0.2-1.ca2004.1_all.deb
Size: 1590236
MD5sum: fc8af0ef8f385e0b24f7405c55a44bb1
SHA1: adb41517940bb133251f53b523e0055adda2ce5f
SHA256: 59c7aaadf8a5f52264ed522c9eba26cadb9fcb98c46fe8ffc35702350cf1d698
SHA512: 5d913807e371008d19e7e828ebd2b4394b01f4b4e65dd84ee5920a1edd28ed46455bff8d5ce39fd2526b71ee0b1ed2fe886100bf4951a3545339da7ce27069f2
Homepage: https://cran.r-project.org/package=varSel
Description: CRAN Package 'varSel' (Sequential Forward Floating Selection using Jeffries-MatusitaDistance)
 Feature selection using Sequential Forward Floating feature Selection and
 Jeffries-Matusita distance. It returns a suboptimal set of features to use
 for image classification. Reference: Dalponte, M., Oerka, H.O., Gobakken,
 T., Gianelle, D. & Naesset, E. (2013). Tree Species Classification in Boreal
 Forests With Hyperspectral Data. IEEE Transactions on Geoscience and Remote
 Sensing, 51, 2632-2645, <DOI:10.1109/TGRS.2012.2216272>.

Package: r-cran-varselrf
Architecture: all
Version: 0.7-8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-varselrf_0.7-8-1.ca2004.1_all.deb
Size: 112472
MD5sum: 2553d0218504cb4924b0d8f4539da0a0
SHA1: 9723c7f56b9884a3a4566e16e2550cb9199cb186
SHA256: 256e08b760ddca6b16c7ffbefacf8247b31a667101efe5de2487fb5566933e5f
SHA512: 3d4dc38c0a7155e5be51860c91f93d8cdcc143b99cc17a21cd466f6839327dbd6e000587dccaf893487ab4ee9d22d16646305b15df44d34ed6beed1d5477dd03
Homepage: https://cran.r-project.org/package=varSelRF
Description: CRAN Package 'varSelRF' (Variable Selection using Random Forests)
 Variable selection from random forests using both backwards variable
 elimination (for the selection of small sets of non-redundant variables) and
 selection based on the importance spectrum (somewhat similar to scree plots;
 for the selection of large, potentially highly-correlated variables).  Main
 applications in high-dimensional data (e.g., microarray data, and other
 genomics and proteomics applications).

Package: r-cran-varsexplore
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4395
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-tidyr, r-cran-stringr, r-cran-glue, r-cran-dt, r-cran-rstudioapi, r-cran-rio
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-varsexplore_0.3.0-1.ca2004.1_all.deb
Size: 3062940
MD5sum: 0edbb4c751e32ee838621858eb590f53
SHA1: d3ee730165462d3504e7020e6f54940c0e52a5ee
SHA256: 464e9b018cb4237236f897918d79cd4652c5bd8f920d2777039de9dc2e4c1cbd
SHA512: 6b0ebc9da3e2d0e94fc1f6f45e577d41000047e3629ec99aa8ab17b8f0d59d526dbae50b0da0536dd5ce7267ced4817ce28d28ebe0bc762a501ce5cdde1a295e
Homepage: https://cran.r-project.org/package=varsExplore
Description: CRAN Package 'varsExplore' (Searchable Variable Explorer with Labelled Variables)
 Creates a summary dataframe that can be used in 'RStudio' similar to the
 variable explorer in 'Stata', but which also includes the summary
 statistics. By default the result is shown in the 'RStudio' Viewer Pane as a
 searchable data table. This is useful particularly if you have a large
 dataset with a very large number of labelled variables with hard to remember
 names. Can also be used to generate a table of summary statistics.

Package: r-cran-varshrink
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 430
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vars, r-cran-ars, r-cran-corpcor, r-cran-strucchange, r-cran-mass, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rticles, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-varshrink_0.3.1-1.ca2004.1_all.deb
Size: 232876
MD5sum: 30d87d7f32725a7374ef231257e7f4a7
SHA1: dff4e07d862ee7f5a0f0d04a37adae4e954a64e7
SHA256: 5e3d5023fba28f8b7154660854edce0cf88b805d045ab70fc80a0b3f940b91e5
SHA512: 857b8822ec60856cd2b1099395fd67f85468a2d9fbe07fd801e60dedf0b02dda2dd00587acbbe372085ac8593426979d82f999863fd688ee337ab4dd620a091a
Homepage: https://cran.r-project.org/package=VARshrink
Description: CRAN Package 'VARshrink' (Shrinkage Estimation Methods for Vector Autoregressive Models)
 Vector autoregressive (VAR) model is a fundamental and effective approach
 for multivariate time series analysis. Shrinkage estimation methods can be
 applied to high-dimensional VAR models with dimensionality greater than the
 number of observations, contrary to the standard ordinary least squares
 method. This package is an integrative package delivering nonparametric,
 parametric, and semiparametric methods in a unified and consistent manner,
 such as the multivariate ridge regression in Golub, Heath, and Wahba (1979)
 <doi:10.2307/1268518>, a James-Stein type nonparametric shrinkage method in
 Opgen-Rhein and Strimmer (2007) <doi:10.1186/1471-2105-8-S2-S3>, and
 Bayesian estimation methods using noninformative and informative priors in
 Lee, Choi, and S.-H. Kim (2016) <doi:10.1016/j.csda.2016.03.007> and Ni and
 Sun (2005) <doi:10.1198/073500104000000622>.

Package: r-cran-varsignr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2067
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hi, r-cran-minqa, r-cran-mvnfast
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-varsignr_0.1.3-1.ca2004.1_all.deb
Size: 1309136
MD5sum: 2f7bcbbd0a6200e7a0e3fd653611beba
SHA1: 00e4ff3f994ad327c7c7ef2579a186d916c49856
SHA256: 162a362f099d7fb7894dc60993d33c0817b12da5202f13eabedf9285e055ed7d
SHA512: a9aa9905c6e79b39270ffb394bdc2b630608e9a388c9e9fe2fb4169d5eae2a5e4374b5b396c6802c6394885df61ddabfc1824923fac61d4aa12438162fdc6519
Homepage: https://cran.r-project.org/package=VARsignR
Description: CRAN Package 'VARsignR' (Sign Restrictions, Bayesian, Vector Autoregression Models)
 Provides routines for identifying structural shocks in vector
 autoregressions (VARs) using sign restrictions.

Package: r-cran-varswapprice
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-varswapprice_1.0-1.ca2004.1_all.deb
Size: 22060
MD5sum: 4973274134c5d9f5b72c2655f6267423
SHA1: cb173e7026242cd46e2a0317567451e53759a92d
SHA256: fdb008a9522a958b9b7b6f00c055df7f50b08efa45054ea2a29264d4f0f063d3
SHA512: 2ccd2c2600e71929f7521f5eb6634ff82edb47dc0a7605ecfbab4806fd248272efea438049855ef06c3fcd6bd1a43a6544ba05577a0babd84fc1723a6720d8b8
Homepage: https://cran.r-project.org/package=VarSwapPrice
Description: CRAN Package 'VarSwapPrice' (Pricing a variance swap on an equity index)
 Computes a portfolio of European options that replicates the cost of
 capturing the realised variance of an equity index.

Package: r-cran-vartest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 180
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-suppdists, r-cran-psych
Filename: pool/dists/focal/main/r-cran-vartest_1.2-1.ca2004.1_all.deb
Size: 152332
MD5sum: 628336616a8575943aa9c28f7c2a4df2
SHA1: 3afe01ffccdeba6d6b99c8448fc289d8cb10b5b9
SHA256: 951d7a405a1a484cb6e40c317ee9a8c055b2fe75b6621e304b513dc76d6395c0
SHA512: 6195e4ba1995e2497f2f5ee8f7fdbe3234f598fdd8442277e4a1061d85b89e7aa7a1868685e8a5d83456aaf77cf49d3548617879713578d52cf2ec110c259c64
Homepage: https://cran.r-project.org/package=vartest
Description: CRAN Package 'vartest' (Tests for Variance Homogeneity)
 Performs 20 omnibus tests for testing the composite hypothesis of variance
 homogeneity.

Package: r-cran-vartestnlme
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mvtnorm, r-cran-lmeresampler, r-cran-alabama, r-cran-matrix, r-cran-merderiv, r-cran-anocva, r-cran-corpcor, r-cran-quadprog, r-cran-lme4, r-cran-nlme, r-cran-saemix, r-cran-msm, r-cran-foreach, r-cran-doparallel
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-envstats
Filename: pool/dists/focal/main/r-cran-vartestnlme_1.3.5-1.ca2004.1_all.deb
Size: 171280
MD5sum: e2afaee2f833a1a97b2984bdc384d139
SHA1: 2b63000df2cd5123e228347bac35c2e970005b72
SHA256: a2be7aecb3b3f9b8720a23727ae32413491bbdc9ab826f34c4f3b4f1dff5825e
SHA512: a99436eb3cc0a02d69cb33fa862c56aedc69c897253c7268dfe9eb7ffeaefe90428ffefa6ce5698f293b4849ce0bc730823b4f0017b8f799b2d6eae13fe82033
Homepage: https://cran.r-project.org/package=varTestnlme
Description: CRAN Package 'varTestnlme' (Variance Components Testing for Linear and Nonlinear MixedEffects Models)
 An implementation of the Likelihood ratio Test (LRT) for testing that, in a
 (non)linear mixed effects model, the variances of a subset of the random
 effects are equal to zero. There is no restriction on the subset of
 variances that can be tested: for example, it is possible to test that all
 the variances are equal to zero. Note that the implemented test is
 asymptotic.  This package should be used on model fits from packages 'nlme',
 'lmer', and 'saemix'.  Charlotte Baey and Estelle Kuhn (2019)
 <doi:10.18637/jss.v107.i06>.

Package: r-cran-varycoef
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1757
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-glmnet, r-cran-lhs, r-cran-mlr, r-cran-mlrmbo, r-cran-optimparallel, r-cran-paramhelpers, r-cran-pbapply, r-cran-smoof, r-cran-spam
Suggests: r-cran-dicekriging, r-cran-knitr, r-cran-lattice, r-cran-latticeextra, r-cran-rmarkdown, r-cran-sp, r-cran-spdata, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-varycoef_0.3.6-1.ca2004.1_all.deb
Size: 1495860
MD5sum: 7da20d8418292cad5039b4dd29dcdf7b
SHA1: 5b662546f6cc1366b3e2658c3ed555065d2e82ef
SHA256: f7d41100ac3679092e26c96ae48d4411c3d1723ed26aeeddb3a2cba777c4a30c
SHA512: fe213d0cff6917d7febb01b7be3921236b0d7a5c84890a16cb53ca7aef19e22a5b238faa3b9f24039e294618fd1580123b3ce6834b2e470d84fa97e7023a286f
Homepage: https://cran.r-project.org/package=varycoef
Description: CRAN Package 'varycoef' (Modeling Spatially Varying Coefficients)
 Implements a maximum likelihood estimation (MLE) method for estimation and
 prediction of Gaussian process-based spatially varying coefficient (SVC)
 models (Dambon et al. (2021a) <doi:10.1016/j.spasta.2020.100470>).
 Covariance tapering (Furrer et al. (2006) <doi:10.1198/106186006X132178>)
 can be applied such that the method scales to large data. Further, it
 implements a joint variable selection of the fixed and random effects
 (Dambon et al.  (2021b) <doi:10.1080/13658816.2022.2097684>). The package
 and its capabilities are described in (Dambon et al. (2021c)
 <doi:10.48550/arXiv.2106.02364>).

Package: r-cran-vasicek
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-vasicek_0.0.3-1.ca2004.1_all.deb
Size: 32260
MD5sum: a57329b957488b14e173cec88099c35f
SHA1: 3db0bca4fc4b58b770ec15b67ef417b7f635ed7c
SHA256: 87dd53f7417087dcb3488f6a68f2612b255df03d864a86d66a66576d45a07dc6
SHA512: 1c5e6703aa6485b857b76db1603b317e51735a12f3ee013fce0c3197edc0d678708bcd6719dccae3c598a06d8581c0d8c0fd70b1a8e6c386b2820df1e7353601
Homepage: https://cran.r-project.org/package=vasicek
Description: CRAN Package 'vasicek' (Miscellaneous Functions for Vasicek Distribution)
 Provide a collection of miscellaneous R functions related to the Vasicek
 distribution with the intent to make the lives of risk modelers easier.

Package: r-cran-vatcheckapi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vatcheckapi_0.1.0-1.ca2004.1_all.deb
Size: 19544
MD5sum: f0859cd3def4486d57d839ebc5c43641
SHA1: b7306ca4db95e75ca9013ead53ee9ea4158618ee
SHA256: 21f0ef4517cb220abd6d9c5e2b45ce63a30dfe17cc68dccb72b1501e0b3842fe
SHA512: f7d8bbac9c8b2e1a0b7609168b800194ba09c73049231b4c93b20436ca94f1354c7178d12e932b2adb853339805b1b9f00c02e68bdeea7fd6894aaef938cc23e
Homepage: https://cran.r-project.org/package=vatcheckapi
Description: CRAN Package 'vatcheckapi' (Client for the 'vatcheckapi.com' VAT Validation API)
 An R client for the 'vatcheckapi.com' VAT number validation API. The API
 requires registration of an API key. Basic features are free, some require a
 paid subscription. You can find the full API documentation at
 <https://vatcheckapi.com/docs> .

Package: r-cran-vaultr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 862
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-r6, r-cran-getpass, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-mockery, r-cran-processx, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-vaultr_1.2.0-1.ca2004.1_all.deb
Size: 736496
MD5sum: 7a6fde21b01f073b905753ddc3caa388
SHA1: 50a2fbdcd7f97dd6d438e088b250ce691ec33b07
SHA256: 9ab3d08718660a220c5c81cbbfbacf2873a63510d67f89d074e4ca8802f86683
SHA512: ff18278b8229952246d4ce571311d79bb18c416c712defec4fd74ffa97d96b24a189e42c1c14bce50e5185ee2386dc36ab940898480d4aa1d77a59081b0363af
Homepage: https://cran.r-project.org/package=vaultr
Description: CRAN Package 'vaultr' (Vault Client for Secrets and Sensitive Data)
 Provides an interface to a 'HashiCorp' vault server over its http API
 (typically these are self-hosted; see <https://www.vaultproject.io>).  This
 allows for secure storage and retrieval of secrets over a network, such as
 tokens, passwords and certificates.  Authentication with vault is supported
 through several backends including user name/password and authentication via
 'GitHub'.

Package: r-cran-vaxpmx
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-dplyr, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vaxpmx_0.0.6-1.ca2004.1_all.deb
Size: 38764
MD5sum: af73a9cbb187ac02cf74f38fce6478af
SHA1: 1be40c4949922bf27e130d52705b9ae091aa5f59
SHA256: 04502d29719e9265ce9c92058fc8826b48fba70e34c86d1abd17a5372d0a4a43
SHA512: 9cf2d514c070ba86f3b020a1512d4192f818cfc81896a14416e0ab58a1a990fc34e11e79d951755516fbb2464292b9a6c0222c580eadb0668b36dff4e788e3a1
Homepage: https://cran.r-project.org/package=vaxpmx
Description: CRAN Package 'vaxpmx' (Vaccines Pharmacometrics)
 Estimate vaccine efficacy (VE) using immunogenicity data.  The inclusion of
 immunogenicity data in regression models can increase precision in VE.  The
 methods are described in the publications "Elucidating vaccine efficacy
 using a correlate of protection, demographics, and logistic regression" and
 "Improving precision of vaccine efficacy evaluation using immune correlate
 data in time-to-event models" by Julie Dudasova, Zdenek Valenta, and Jeffrey
 R. Sachs (2024).

Package: r-cran-vayr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2575
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-packcircles, r-cran-withr
Suggests: r-cran-dplyr, r-cran-estimatr, r-cran-knitr, r-cran-patchwork, r-cran-randomizr, r-cran-rmarkdown, r-cran-sessioninfo, r-cran-testthat, r-cran-tibble, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-vayr_1.0.0-1.ca2004.1_all.deb
Size: 2024928
MD5sum: 5f73d64c4858c6dd6a78be787a053a60
SHA1: a6ab229f37b4b80ed45e0f4230268df56b62d6f6
SHA256: f3be80a5802815a9f4b8bc178a989866eeb54482ede5cd69b1af2340072d8ef6
SHA512: 7fcf58469c0514d85e1801ed1fdaba6694aa613c84a29bad0a30baeb99d9650eda24a50c9f4c88fbc892eb1fb195ff466d80a9d767e207fab6e4434567d9ad44
Homepage: https://cran.r-project.org/package=vayr
Description: CRAN Package 'vayr' (Extensions for 'ggplot2' to Visualize as You Randomize)
 Position adjustments for 'ggplot2' to implement "visualize as you randomize"
 principles, which can be especially useful when plotting experimental data.

Package: r-cran-vbsparsepca
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-vbsparsepca_0.1.0-1.ca2004.1_all.deb
Size: 51480
MD5sum: 4a9f068d8e909cb6fc0c347d6fffbe98
SHA1: 5064a30aede209c4d153b85dc691e1919e1ee1ae
SHA256: d6e046b6033d03a125bbf2c44340bab76a9de06d4033b06deca66806959e3c5e
SHA512: 49a333e4554dd4714b08bdfebbe7d38cf004ad8740f21037fc9b7bbbbbf70003b6dc564dc5e6812418de63ad251eacf68d08f949dc9231ac060650eac2956a8a
Homepage: https://cran.r-project.org/package=VBsparsePCA
Description: CRAN Package 'VBsparsePCA' (The Variational Bayesian Method for Sparse PCA)
 Contains functions for a variational Bayesian method for sparse PCA proposed
 by Ning (2020) <arXiv:2102.00305>. There are two algorithms: the PX-CAVI
 algorithm (if assuming the loadings matrix is jointly row-sparse) and the
 batch PX-CAVI algorithm (if without this assumption). The outputs of the
 main function, VBsparsePCA(), include the mean and covariance of the
 loadings matrix, the score functions, the variable selection results, and
 the estimated variance of the random noise.

Package: r-cran-vbtree
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 260
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tensora
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vbtree_0.1.1-1.ca2004.1_all.deb
Size: 141476
MD5sum: 0bc96d33645b9d23c390999a407eab60
SHA1: e2e592cbf9e0cfea1f94b68ec59891cf5378dc61
SHA256: 64012bd87e700cf04de5392ffe9115a911a56933cea3235e00c5b6d578507a0a
SHA512: 55cb541465cb26612a0617151c974b9934634a180ee3c7258186a3dce091b17ed3273d855d097fcc44eeb4e1085f415d547352733e5eaff4b47bcb5abef6dee8
Homepage: https://cran.r-project.org/package=VBTree
Description: CRAN Package 'VBTree' (Vector Binary Tree to Make Your Data Management More Efficient)
 Vector binary tree provides a new data structure, to make your data visiting
 and management more efficient. If the data has structured column names, it
 can read these names and factorize them through specific split pattern, then
 build the mappings within double list, vector binary tree, array and tensor
 mutually, through which the batched data processing is achievable easily.
 The methods of array and tensor are also applicable. Detailed methods are
 described in Chen Zhang et al. (2020) <doi:10.35566/isdsa2019c8>.

Package: r-cran-vbv
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vbv_0.6.2-1.ca2004.1_all.deb
Size: 27144
MD5sum: 1883536757d812491cbced0ff4e95a45
SHA1: 97eba8d9d184ae492b31c294196bf054d758a6bb
SHA256: 16bed50c172f3da0cecaff675b31fbd7aaa6150f2c7e1fb53564c5b40cf6fc33
SHA512: 82bc3a28bbfc58d5000af2b001e43091d242954bb2fe9dcfa41d9f6553e1b9c4b33691c0c1ee9022219661d985db840939e67bba67892b1276bc47c654679fac
Homepage: https://cran.r-project.org/package=VBV
Description: CRAN Package 'VBV' (The Generalized Berlin Method for Time Series Decomposition)
 Time series decomposition for univariate time series using the
 "Verallgemeinerte Berliner Verfahren" (Generalized Berlin Method) as
 described in 'Kontinuierliche Messgrößen und Stichprobenstrategien in Raum
 und Zeit mit Anwendungen in den Natur-, Umwelt-, Wirtschafts- und
 Finanzwissenschaften', by Hebbel and Steuer, Springer Berlin Heidelberg,
 2022 <doi:10.1007/978-3-662-65638-9>, or 'Decomposition of Time Series using
 the Generalised Berlin Method (VBV)' by Hebbel and Steuer, in Jan Beran,
 Yuanhua Feng, Hartmut Hebbel (Eds.): Empirical Economic and Financial
 Research - Theory, Methods and Practice, Festschrift in Honour of Prof.
 Siegfried Heiler.  Series: Advanced Studies in Theoretical and Applied
 Econometrics.  Springer 2014, p. 9-40.

Package: r-cran-vccp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 196
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vinecopula, r-cran-mosum, r-cran-mvtnorm
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vccp_0.1.1-1.ca2004.1_all.deb
Size: 139200
MD5sum: 0fb0a1695f9061f2c31d3ac4ade40496
SHA1: 2c4f224bb7eccd9406851e086383df9b2e2f353b
SHA256: 329ea54d461c89c5dda916fc719834a16374f8fd8d8c8adf756d63d75fab8852
SHA512: 1da854e9985d77db87f9a1ee70c3c6163d8cec898a08d470e65496fb80161d6ec8bae4d68684cb84ac238cf54458b67247a5558a2ff70b2c7a900a1a85e5a493
Homepage: https://cran.r-project.org/package=vccp
Description: CRAN Package 'vccp' (Vine Copula Change Point Detection in Multivariate Time Series)
 Implements the Vine Copula Change Point (VCCP) methodology for the
 estimation of the number and location of multiple change points in the vine
 copula structure of multivariate time series. The method uses vine copulas,
 various state-of-the-art segmentation methods to identify multiple change
 points, and a likelihood ratio test or the stationary bootstrap for
 inference. The vine copulas allow for various forms of dependence between
 time series including tail, symmetric and asymmetric dependence. The
 functions have been extensively tested on simulated multivariate time series
 data and fMRI data. For details on the VCCP methodology, please see Xiong &
 Cribben (2021).

Package: r-cran-vcd2df
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-quarto
Filename: pool/dists/focal/main/r-cran-vcd2df_1.0.1-1.ca2004.1_all.deb
Size: 16856
MD5sum: 40769b59a3fe91d48d677652b2389faf
SHA1: 46884790e62d816a685255a999ae5952d087ad8f
SHA256: 68e17fd0102f31866bc530ec045023901bca89c2c8fd31f67779b0c6167437fb
SHA512: 214cdd740156ddcc5dd27501d10dd4132916e1bd07ed004166a961965118c836b075d1e2c5f0b0184c7a3a4c782b0fdc03615a4459cfcf247cb45bf84b6cad80
Homepage: https://cran.r-project.org/package=vcd2df
Description: CRAN Package 'vcd2df' (Value Change Dump to Data Frame)
 Provides the 'vcd2df' function, which loads a IEEE 1364-1995/2001 VCD (.vcd)
 file, specified as a parameter of type string containing exactly a file
 path, and returns an R dataframe containing values over time.  A VCD file
 captures the register values at discrete timepoints from a simulated trace
 of execution of a hardware design in Verilog or VHDL.  The returned
 dataframe contains a row for each register, by name, and a column for each
 time point, specified VCD-style using octothorpe-prefixed multiples of the
 timescale as strings.  The only non-trivial implementation details are that
 (1) VCD 'x' and 'z' non-numerical values are encoded as negative value -1
 (as otherwise all bit values are positive) and (2) registers with repeated
 names in distinct modules are ignored, rather than duplicated, as we
 anticipate these registers to have the same values.  Read more in arXiv
 preprint: 'vcd2df' -- Leveraging Data Science Insights for Hardware Security
 Research <doi:10.48550/arXiv.2505.06470>.

Package: r-cran-vcd
Architecture: all
Version: 1.4-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1499
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-colorspace, r-cran-lmtest
Suggests: r-cran-kernsmooth, r-cran-mvtnorm, r-cran-kernlab, r-cran-hsaur3, r-cran-coin
Filename: pool/dists/focal/main/r-cran-vcd_1.4-13-1.ca2004.1_all.deb
Size: 1272376
MD5sum: 8564fb8b9bed6459bc1f05d701d46029
SHA1: 61ec13ed3130077fc810f8c3deb8e01abe210bcd
SHA256: a748a7c65a2b29db2415882e492c990b9d7719ce982cdf7cbe261fefd9b5247f
SHA512: 2ffe7c3bc6758ed42c3a0d75569ff2f99e557b3e661a97f27323cb04f6c8870f8d8d52af3d1cc77fdf2cd7dfdd915422c2a35de45e449aeca573b108d517b4b0
Homepage: https://cran.r-project.org/package=vcd
Description: CRAN Package 'vcd' (Visualizing Categorical Data)
 Visualization techniques, data sets, summary and inference procedures aimed
 particularly at categorical data. Special emphasis is given to highly
 extensible grid graphics. The package was package was originally inspired by
 the book "Visualizing Categorical Data" by Michael Friendly and is now the
 main support package for a new book, "Discrete Data Analysis with R" by
 Michael Friendly and David Meyer (2015).

Package: r-cran-vcdextra
Architecture: all
Version: 0.8-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1568
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vcd, r-cran-gnm, r-cran-mass, r-cran-ca, r-cran-dplyr, r-cran-glue, r-cran-here, r-cran-purrr, r-cran-readxl, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-gmodels, r-cran-fahrmeir, r-cran-effects, r-cran-vgam, r-cran-plyr, r-cran-lmtest, r-cran-nnet, r-cran-ggplot2, r-cran-sleuth2, r-cran-car, r-cran-lattice, r-cran-rgl, r-cran-aer, r-cran-coin, r-cran-hmisc, r-cran-knitr, r-cran-rmarkdown, r-cran-seriation
Filename: pool/dists/focal/main/r-cran-vcdextra_0.8-5-1.ca2004.1_all.deb
Size: 836448
MD5sum: 6112b47bd412900d124f54e996b9725a
SHA1: 522efffdd145ccb893478527794e710d8f0b8177
SHA256: 1e7d03e7428c2df125957dfd8cc9ec19b29cf3b50d59c0437957833002d60d4a
SHA512: ffba2c772334abe8b64b782ad704b948b15dedcc06888aa147d2b6c4291c75633c6e652a4dedc982e25139ea77c490ef391b71bbdb673183d1908b1e7e70a617
Homepage: https://cran.r-project.org/package=vcdExtra
Description: CRAN Package 'vcdExtra' ('vcd' Extensions and Additions)
 Provides additional data sets, methods and documentation to complement the
 'vcd' package for Visualizing Categorical Data and the 'gnm' package for
 Generalized Nonlinear Models.  In particular, 'vcdExtra' extends mosaic,
 assoc and sieve plots from 'vcd' to handle 'glm()' and 'gnm()' models and
 adds a 3D version in 'mosaic3d'.  Additionally, methods are provided for
 comparing and visualizing lists of 'glm' and 'loglm' objects. This package
 is now a support package for the book, "Discrete Data Analysis with R" by
 Michael Friendly and David Meyer.

Package: r-cran-vchartr
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3801
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-htmlwidgets, r-cran-magrittr, r-cran-rlang, r-cran-scales
Suggests: r-cran-bslib, r-cran-knitr, r-cran-geojsonio, r-cran-palmerpenguins, r-cran-rmarkdown, r-cran-sf, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-vchartr_0.1.4-1.ca2004.1_all.deb
Size: 1757160
MD5sum: 8182b26bdffa79619c239cedf00b4e78
SHA1: a45f4b2aadba3c5384391bbb683ad0bd5bd5689c
SHA256: 31a6d4d9053a3f375fda65e979e22808db423112a401d8c06b6af98bbf6dc93c
SHA512: a528db0b0bd3f3aff7f242ef1067d423c36546e476af1c2a6fdb45a56d3ba90062961b6a26914d74ab7a5736f4c03ae3fe5b8b252fdac1cce58b36d47273bc5b
Homepage: https://cran.r-project.org/package=vchartr
Description: CRAN Package 'vchartr' (Interactive Charts with the 'JavaScript' 'VChart' Library)
 Provides an 'htmlwidgets' interface to 'VChart.js'.  'VChart', more than
 just a cross-platform charting library, but also an expressive data
 storyteller.  'VChart' examples and documentation are available here:
 <https://www.visactor.io/vchart>.

Package: r-cran-vcmeta
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 622
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mathjaxr, r-cran-rdpack, r-cran-ggplot2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vcmeta_1.4.0-1.ca2004.1_all.deb
Size: 555352
MD5sum: 616b926356db016c6e87ecd463771cbd
SHA1: 92af9355f00467e41e636e03b2536301bb8304ec
SHA256: 916613bbf163d95f47b5d8f65d7eeac65aa24c64f517cc57948e33284a0b2a22
SHA512: a9619df60530ea685201da5607325043fb24f063dbdb5b890a2c668bb27141faa444183fc868b67a6647714234df6b5a9ff48ecdaa9a70936dc6a501df271bae
Homepage: https://cran.r-project.org/package=vcmeta
Description: CRAN Package 'vcmeta' (Varying Coefficient Meta-Analysis)
 Implements functions for varying coefficient meta-analysis methods.  These
 methods do not assume effect size homogeneity. Subgroup effect size
 comparisons, general linear effect size contrasts, and linear models of
 effect sizes based on varying coefficient methods can be used to describe
 effect size heterogeneity. Varying coefficient meta-analysis methods do not
 require the unrealistic assumptions of the traditional fixed-effect and
 random-effects meta-analysis methods.  For details see: Statistical Methods
 for Psychologists, Volume 5, <https://dgbonett.sites.ucsc.edu/>.

Package: r-cran-vcov
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vcov_0.0.1-1.ca2004.1_all.deb
Size: 30332
MD5sum: 2f63965882f030ad0b216b08764b404d
SHA1: e054dc97bd23257014a6446ae00871bb1290c867
SHA256: 02685bacb81a82258b941a0cc1ef1413e0f5461fd7441e8c01fb1113c94cf7e9
SHA512: f7f948c8455750926129a18d4d167496bf5a3d4105014d03bc4c11ec16dc135e355ae65c9b1734a1feb0c19beb2b15124c56e0dd11bcbafc5efa1a2d8b8e09ac
Homepage: https://cran.r-project.org/package=vcov
Description: CRAN Package 'vcov' (Variance-Covariance Matrices and Standard Errors)
 Methods for faster extraction (about 5x faster in a few test cases) of
 variance-covariance matrices and standard errors from models. Methods in the
 'stats' package tend to rely on the summary method, which may waste time
 computing other summary statistics which are summarily ignored.

Package: r-cran-vcpb
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-kernsmooth, r-cran-rlist, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-vcpb_1.1.1-1.ca2004.1_all.deb
Size: 68992
MD5sum: e4cf2be2c3518779239c718d2af2c719
SHA1: 720abf432d2f7624d14bbbb58b2943df4185e4eb
SHA256: ab8194735298cb83584201db10ab05be01b0673faacc295d418b234b1127ec48
SHA512: cadc0e0eb671100d066b6cfa1a1f5ca7e4c2dd4acb934e440ddadf44e18ad5fe4a6de67de92b5fbca6e203abb2f5e027681d2fb6313477e8dd3946bb5756a983
Homepage: https://cran.r-project.org/package=vcPB
Description: CRAN Package 'vcPB' (Longitudinal PB Varying-Coefficient Groupwise Disparity Model)
 Estimating the disparity between two groups based on the extended model of
 the Peters-Belson (PB) method. Our model is the first work on the
 longitudinal data, and also can set a varying variable to find the
 complicated association between other variables and the varying variable.
 Our work is an extension of the Peters-Belson method which was originally
 published in Peters (1941)<doi:10.1080/00220671.1941.10881036> and Belson
 (1956)<doi:10.2307/2985420>.

Package: r-cran-vcr
Architecture: all
Version: 1.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 8688
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-crul, r-cran-httr, r-cran-httr2, r-cran-webmockr, r-cran-urltools, r-cran-yaml, r-cran-r6, r-cran-base64enc, r-cran-rprojroot
Suggests: r-cran-roxygen2, r-cran-jsonlite, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-desc, r-cran-crayon, r-cran-cli, r-cran-curl, r-cran-withr, r-cran-webfakes
Filename: pool/dists/focal/main/r-cran-vcr_1.7.0-1.ca2004.1_all.deb
Size: 1250008
MD5sum: dc2e48c59d484b7c1b662c331d2ed2ba
SHA1: 6a6989875a762f0e7b0bebe389357f06d358147f
SHA256: 4765ef5ca21a7284a0453c4fca61bdf65a60b07243b7d81e7fd186f2c8712f4f
SHA512: b8b8d5f5744a9709c50fd20a8c53353f44bff54269ab8ede0006ff554d670d5b38da3d29cd06fa6bda4ebe31f7c06eb4a05458a5ae4c4dfe5cac791019deaa67
Homepage: https://cran.r-project.org/package=vcr
Description: CRAN Package 'vcr' (Record 'HTTP' Calls to Disk)
 Record test suite 'HTTP' requests and replays them during future runs. A
 port of the Ruby gem of the same name (<https://github.com/vcr/vcr/>). Works
 by hooking into the 'webmockr' R package for matching 'HTTP' requests by
 various rules ('HTTP' method, 'URL', query parameters, headers, body, etc.),
 and then caching real 'HTTP' responses on disk in 'cassettes'. Subsequent
 'HTTP' requests matching any previous requests in the same 'cassette' use a
 cached 'HTTP' response.

Package: r-cran-vctsfr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 335
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-shiny
Suggests: r-cran-forecast, r-cran-knitr, r-cran-mcomp, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vctsfr_0.1.1-1.ca2004.1_all.deb
Size: 203892
MD5sum: 461fec0d4aa256c449c2b82abdbb10e2
SHA1: be49e329b16b6e71b7657fe4addd0a93d7618548
SHA256: ac7ee7c4a1f71d9d2b3aa4eaae8b957f340a73d95bbe8dc39494d86c604379f4
SHA512: 035e7cda56874829ee669975ef9a3a1bd7c812c2577a0a384c34a4954b6c852bf095d22226db553195ca32807bd8c811e3da6bf6b82921cfc6c54dcf9c653ced
Homepage: https://cran.r-project.org/package=vctsfr
Description: CRAN Package 'vctsfr' (Visualizing Collections of Time Series Forecasts)
 A way of visualizing collections of time series and, optionally their future
 values, forecasts for their future values and prediction intervals for the
 forecasts. A web-based GUI can be used to display the information in a
 collection of time series.

Package: r-cran-vcvcomp
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 614
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-geomorph, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-vcvcomp_1.0.2-1.ca2004.1_all.deb
Size: 456696
MD5sum: 02b1245976ba7b9d8a822e7fb19631a8
SHA1: 1971e3bd26f16ad17c1c80e6a409c4a282dafbfc
SHA256: 937d4cc0652442f0e715ed94ebf3fb4194b63aa6cf5a822ca54ee15b54e608c7
SHA512: f363685624e512ddd3398f1c086f4f64640f652bcba981ef97800cd82108e39b42e1d7e4eeeaabb3ec2c14fe05983af497b86eff11ff8136f73d1a6584ddfd62
Homepage: https://cran.r-project.org/package=vcvComp
Description: CRAN Package 'vcvComp' (Comparison of Variance - Covariance Patterns)
 Comparison of variance - covariance patterns using relative principal
 component analysis (relative eigenanalysis), as described in Le Maitre and
 Mitteroecker (2019) <doi:10.1111/2041-210X.13253>. Also provides functions
 to compute group covariance matrices, distance matrices, and perform
 proportionality tests. A worked sample on the body shape of cichlid fishes
 is included, based on the dataset from Kerschbaumer et al. (2013)
 <doi:10.5061/dryad.fc02f>.

Package: r-cran-vdap
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 120
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-drc, r-cran-ggplot2, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-vdap_2.0.0-1.ca2004.1_all.deb
Size: 90016
MD5sum: d668fb2c96abf6ee8e5e34ba8e7604db
SHA1: 75eedd62470c27badf2e3ce0883dc4dc643bf8ea
SHA256: 78dad7ca1ac78e68f7e108d62f47b9eda4cde61e6d1f8b721506fb27eac4d5dd
SHA512: f264a1e92ec44fb52c55072f97de15cefc2a75972dae52453ae13478d21eff53860d4db82bb159e49549d80fcad4db47679f4905679408e3b0716ba24816e607
Homepage: https://cran.r-project.org/package=VDAP
Description: CRAN Package 'VDAP' (Peptide Array Analysis Tools)
 Analyze Peptide Array Data and characterize peptide sequence space. Allows
 for high level visualization of global signal, Quality control based on
 replicate correlation and/or relative Kd, calculation of peptide
 Length/Charge/Kd parameters, Hits selection based on RFU Signal, and amino
 acid composition/basic motif recognition with RFU signal weighting. Basic
 signal trends can be used to generate peptides that follow the observed
 compositional trends.

Package: r-cran-vdar
Architecture: all
Version: 0.1.3-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compositions
Suggests: r-cran-ggplot2, r-cran-ggthemes, r-cran-ggtern
Filename: pool/dists/focal/main/r-cran-vdar_0.1.3-2-1.ca2004.1_all.deb
Size: 95744
MD5sum: 2ac6894d3918ca9432351ee229ac8263
SHA1: bab2265c018d8db05aa9e8703a1b4e8a7163883a
SHA256: ed6ce24acad1d50187e2a15d041a3551314e4eca19792c2b1c51893f687bfca8
SHA512: aed84f2eb0394ec0cc8bfa6aba6865408d76e88c895f460705fbfe3281722d272a95d217596b92ef937daba528412aea5e444a995dc89ce0f4c8b560c17efd05
Homepage: https://cran.r-project.org/package=vdar
Description: CRAN Package 'vdar' (Discriminant Analysis Incorporating Individual Uncertainties)
 The qda() function from package 'MASS' is extended to calculate a weighted
 linear (LDA) and quadratic discriminant analysis (QDA) by changing the group
 variances and group means based on cell-wise uncertainties.  The
 uncertainties can be derived e.g. through relative errors for each
 individual measurement (cell), not only row-wise or column-wise
 uncertainties.  The method can be applied compositional data (e.g. portions
 of substances, concentrations) and non-compositional data.

Package: r-cran-vdgrsm
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-permute, r-cran-algdesign
Suggests: r-cran-akima
Filename: pool/dists/focal/main/r-cran-vdgrsm_1.5-1.ca2004.1_all.deb
Size: 143268
MD5sum: 805110a629283d3adc14d9c7cc7b0180
SHA1: 91a2c6d338f249f7d6083f0d2736f1b9645d28ff
SHA256: fd561762847b8af811eb25d5668e951f16e16f4b0b2820ca6a24be118eab3184
SHA512: 7e3533315ea75b7f09dbf49290d3b636ef259d271ee341f5cfdba71be81ad76b68464168092fc465efca0e5d3ec678712ff889fdb6926d2ec759b3f5e37910bb
Homepage: https://cran.r-project.org/package=VdgRsm
Description: CRAN Package 'VdgRsm' (Plots of Scaled Prediction Variances for Response SurfaceDesigns)
 Functions for creating variance dispersion graphs, fraction of design space
 plots, and contour plots of scaled prediction variances for second-order
 response surface designs in spherical and cuboidal regions. Also, some
 standard response surface designs can be generated.

Package: r-cran-vdiver
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-gghalves, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggtext, r-cran-magrittr, r-cran-tidyr, r-cran-stringr, r-cran-rlang, r-cran-rentrez, r-cran-scales, r-cran-maps, r-cran-cowplot, r-cran-stringdist
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vdiver_2.0.1-1.ca2004.1_all.deb
Size: 670356
MD5sum: dd979b7ac8ea90d4b52c2c42758c6122
SHA1: 441d0ff4df344a5c237352420e0c6c35dd173c79
SHA256: d71d2fc0b1344f6569c3b82146fdf4d5ac0987974a2762535b5b12098bc85913
SHA512: ba3784bbc41999612e07d1eb81925ccda039562c86d79fd3e942a1826a154ba5c42f1ff02d5f1a019656db7b741a8015cba3f0f91349e610bdc64cf595166f4f
Homepage: https://cran.r-project.org/package=vDiveR
Description: CRAN Package 'vDiveR' (Visualization of Viral Protein Sequence Diversity Dynamics)
 To ease the visualization of outputs from Diversity Motif Analyser ('DiMA';
 <https://github.com/BVU-BILSAB/DiMA>). 'vDiveR' allows visualization of the
 diversity motifs (index and its variants – major, minor and unique) for
 elucidation of the underlying inherent dynamics. Please refer
 <https://vdiver-manual.readthedocs.io/en/latest/> for more information.

Package: r-cran-vdjgermlines
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ape, r-cran-stringdist
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vdjgermlines_0.1-1.ca2004.1_all.deb
Size: 354596
MD5sum: eee91d0082834c9c4a2a5a4095c45ad2
SHA1: 85ad9ba887fde26b9e0b3acd71b4f9338471bab5
SHA256: 9a719e5e22ab48da3eae8729251430e02c4c552671bb3feee457a2b8a3b4a0e1
SHA512: 2b7094e83e10ca34c3eb2f4e8a09440ba0cb367c99fd8067623dc5bc0c8ba9cb566762c1c610390bc05aeafedf87e63e4a405d611b5e3a17c40f3f2cc7897295
Homepage: https://cran.r-project.org/package=VDJgermlines
Description: CRAN Package 'VDJgermlines' (Variable, Diversity and Joining Sequences from Various Species)
 Contains variable, diversity, and joining sequences and accompanying
 functions that enable both the extraction of and comparison between immune
 V-D-J genomic segments from a variety of species. Sources include IMGT from
 MP Lefranc (2009) <doi:10.1093/nar/gkn838> and Vgenerepertoire from
 publication DN Olivieri (2014) <doi:10.1007/s00251-014-0784-3>.

Package: r-cran-vdpo
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 439
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-matrix, r-cran-sop
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vdpo_0.1.0-1.ca2004.1_all.deb
Size: 291508
MD5sum: b829ee3d8d21a39c412915bfdf288b84
SHA1: f20d77df369283b9b034c2b612c8ab81d10755b9
SHA256: c51af7e3cf8be9d21cb4ff9d5dec487f17a6ba912baeb4aa083351b1ce3fb286
SHA512: c3e7530e3630c21ac081bb90c7c4c95923286b0493f135933de0bd7cb4a332c0129de95f455b8ac873118b7b7bd0395db3a5f79527c4cc8c803172909258fd04
Homepage: https://cran.r-project.org/package=VDPO
Description: CRAN Package 'VDPO' (Working with and Analyzing Functional Data of Varying Lengths)
 Comprehensive set of tools for analyzing and manipulating functional data
 with non-uniform lengths. This package addresses two common scenarios in
 functional data analysis: Variable Domain Data, where the observation domain
 differs across samples, and Partially Observed Data, where observations are
 incomplete over the domain of interest. 'VDPO' enhances the flexibility and
 applicability of functional data analysis in 'R'.  See Amaro et al. (2024)
 <doi:10.48550/arXiv.2401.05839>.

Package: r-cran-vdsm
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-plyr, r-cran-dplyr, r-cran-viridis, r-cran-gridextra, r-cran-knitr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vdsm_0.1.1-1.ca2004.1_all.deb
Size: 83488
MD5sum: 28a760c91e619de75c5b1f69ac0be07b
SHA1: 4ef719c44079488f09cd8e8a0004397a1d6ba54d
SHA256: 0e555e24ebfd7d2682d3925c315c3643c43734e333ff53ec348af60c6415d65e
SHA512: 63285a64e869aaff459dca96ebe19109e2d0ef84161c71e13219b614ca2864edcc322ad1fccb0c8c4dc6645d936eda0ac8245127467ab57bf4c8be2854b298af
Homepage: https://cran.r-project.org/package=VDSM
Description: CRAN Package 'VDSM' (Visualization of Distribution of Selected Model)
 Although model selection is ubiquitous in scientific discovery, the
 stability and uncertainty of the selected model is often hard to evaluate.
 How to characterize the random behavior of the model selection procedure is
 the key to understand and quantify the model selection uncertainty. This R
 package offers several graphical tools to visualize the distribution of the
 selected model. For example, Gplot(), Hplot(), VDSM_scatterplot() and
 VDSM_heatmap(). To the best of our knowledge, this is the first attempt to
 visualize such a distribution. About what distribution of selected model is
 and how it work please see Qin,Y.and Wang,L. (2021) "Visualization of Model
 Selection Uncertainty" <https://homepages.uc.edu/~qinyn/VDSM/VDSM.html>.

Package: r-cran-vdspcalibration
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vdspcalibration_1.0-1.ca2004.1_all.deb
Size: 35608
MD5sum: 1bd0ee6dfeb2bbf0f4a5602ec26fba61
SHA1: 2a46ada8e496ec49b0748e7f2257a16f68bcab14
SHA256: e3e6b329b3e851b7c731f22faebbe8fcfd6d2b77d7e569f3f297def6eaacad6b
SHA512: 272a3f42e72d9609b25d323bb196b8c4385a027d54c7d7ef0fc1b32d33cb8c499e73dda204cd56301e18be2ec2805a7c7c14c549bfb2435628d2874faddcae8c
Homepage: https://cran.r-project.org/package=VDSPCalibration
Description: CRAN Package 'VDSPCalibration' (Statistical Methods for Designing and Analyzing a CalibrationStudy)
 Provides statistical methods for the design and analysis of a calibration
 study, which aims for calibrating measurements using two different methods.
 The package includes sample size calculation, sample selection, regression
 analysis with error-in measurements and change-point regression. The method
 is described in Tian, Durazo-Arvizu, Myers, et al. (2014)
 <DOI:10.1002/sim.6235>.

Package: r-cran-vec2dtransf
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 241
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sp
Filename: pool/dists/focal/main/r-cran-vec2dtransf_1.1.3-1.ca2004.1_all.deb
Size: 174388
MD5sum: 856d3889f4992d0fd38015b080586848
SHA1: 7dc944101d2647f81292067bddfee1ca8b36332c
SHA256: 643c1357497cc128be25d33330db522ea1a45548b3c25523bf906e61e79c9295
SHA512: 407c2f69cb15200e5e12b0a5a53bc418edfbd5a8d2e4bc338b88bef7d2eb91bdca4613181a1a5d31884eed98e868f0ffa5e362c2e8e6095ebafe1e369cf67a81
Homepage: https://cran.r-project.org/package=vec2dtransf
Description: CRAN Package 'vec2dtransf' (2D Cartesian Coordinate Transformation)
 Applies affine and similarity transformations on vector spatial data (sp
 objects). Transformations can be defined from control points or directly
 from parameters. If redundant control points are provided Least Squares is
 applied allowing to obtain residuals and RMSE.

Package: r-cran-veccompare
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-corrplot, r-cran-gtools, r-cran-pander, r-cran-purrr, r-cran-reshape2, r-cran-qgraph, r-cran-venndiagram
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-veccompare_0.1.0-1.ca2004.1_all.deb
Size: 69696
MD5sum: 86701e1fe68addb93edd80848ddb149c
SHA1: f96ece8aec08a83031b9501e1c738d01db6077a9
SHA256: 8b3596daedb1e1f843760e19339593958aaa70e03704c7945e0415d599213d32
SHA512: a14500d5d6dfa1af25575871e0d1cd76d83180d9a79760822b34d4a1c3b92b6a04ac214194fbd148e0f0bb00c4809ca429c176f032ebf55a6c8cd7492530c6df
Homepage: https://cran.r-project.org/package=veccompare
Description: CRAN Package 'veccompare' (Perform Set Operations on Vectors, Automatically Generating Alln-Wise Comparisons, and Create Markdown Output)
 Automates set operations (i.e., comparisons of overlap) between multiple
 vectors.  It also contains a function for automating reporting in
 'RMarkdown', by generating markdown output for easy analysis, as well as an
 'RMarkdown' template for use with 'RStudio'.

Package: r-cran-vecdep
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 323
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-elliptcopulas, r-cran-hac, r-cran-hash, r-cran-sets, r-cran-covglasso, r-cran-expm, r-cran-magic, r-cran-pbapply, r-cran-rmpfr, r-cran-reticulate, r-cran-gtools
Suggests: r-cran-mvtnorm, r-cran-ggplot2, r-cran-extradistr, r-cran-fossil, r-cran-dendextend, r-cran-copula, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vecdep_0.1.3-1.ca2004.1_all.deb
Size: 283212
MD5sum: 717d0f8e2df518586f838459822def2f
SHA1: b9967dd174ce927840635d9575c320263b56e35b
SHA256: 57103e8ac46c8474e5e7849c8939e3238a36af6a0c6485f23430500f5b67841d
SHA512: 9bd3a7fa615c62484dccd501c3e05c3eec9499a774a0143a5c683b8858a57b3f22ba7291522532431ab9de0362a46d2c584cbea648665020e572dc24e2834807
Homepage: https://cran.r-project.org/package=VecDep
Description: CRAN Package 'VecDep' (Measuring Copula-Based Dependence Between Random Vectors)
 Provides functions for estimation (parametric, semi-parametric and
 non-parametric) of copula-based dependence coefficients between a finite
 collection of random vectors, including phi-dependence measures and
 Bures-Wasserstein dependence measures.  An algorithm for agglomerative
 hierarchical variable clustering is also implemented.  Following the
 articles De Keyser & Gijbels (2024) <doi:10.1016/j.jmva.2024.105336>, De
 Keyser & Gijbels (2024) <doi:10.1016/j.ijar.2023.109090>, and De Keyser &
 Gijbels (2024) <doi:10.48550/arXiv.2404.07141>.

Package: r-cran-vecmatch
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-brglm2, r-cran-chk, r-cran-cli, r-cran-ggplot2, r-cran-ggpp, r-cran-ggpubr, r-cran-mass, r-cran-matching, r-cran-mclogit, r-cran-nnet, r-cran-optmatch, r-cran-productplots, r-cran-rlang, r-cran-rstatix, r-cran-vgam, r-cran-withr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vecmatch_1.1.0-1.ca2004.1_all.deb
Size: 999284
MD5sum: 6639f34f7daa8fda12520c8fac3a6e5a
SHA1: 884617d9adc1195cbeae175cf3664f24e3b0dcd6
SHA256: b9677a0ac0026f7f0727e9dd9869c5dd861d27fa4c0c1073ee6e259125bc55f3
SHA512: 0ba0d8a89bd101f65ac647ed42d4a7a9692c476a6dbda0fe53cfab8fd9acf02ed5cf4967439f1b058855c1ff1c08e3acb2ad0b3ed6c0d6ed9a9091dc76be7586
Homepage: https://cran.r-project.org/package=vecmatch
Description: CRAN Package 'vecmatch' (Generalized Propensity Score Estimation and Matching forMultiple Groups)
 Implements the Vector Matching algorithm to match multiple treatment groups
 based on previously estimated generalized propensity scores. The package
 includes tools for visualizing initial confounder imbalances, estimating
 treatment assignment probabilities using various methods, defining the
 common support region, performing matching across multiple groups, and
 evaluating matching quality. For more details, see Lopez and Gutman (2017)
 <doi:10.1214/17-STS612>.

Package: r-cran-vecsets
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-vecsets_1.4-1.ca2004.1_all.deb
Size: 28636
MD5sum: 375735ef66d59abef623695f0c7ae3cf
SHA1: dff5f9d3be0af8c5fa9561c48c2eee9d4f6bf15f
SHA256: 7d72853505d276bf93590d00d3103b5933a7d4747165f5a027bcc8dae495434e
SHA512: cd9cab07e926ccdb799d59bf37aec929693b8dd472e870554feeeed5c5e966c30db38d8b587c4138f9cff8cc76e4e15965be96d8897e4d62d1328e9f14049542
Homepage: https://cran.r-project.org/package=vecsets
Description: CRAN Package 'vecsets' (Like Set Tools in 'Base' Package but Keeps Duplicate Elements)
 The 'base' tools union() intersect(), etc., follow the algebraic definition
 that each element of a set must be unique.  Since it's often helpful to
 compare all elements of two vectors, this toolset treats every element as
 unique for counting purposes.  For ease of use, all functions in vecsets
 have an argument 'multiple' which, when set to FALSE, reverts them to the
 base::sets (alias for all the items) tools functionality.

Package: r-cran-vecstatgraphs2d
Architecture: all
Version: 1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 391
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-vecstatgraphs2d_1.8-1.ca2004.1_all.deb
Size: 328304
MD5sum: 351b30201c3b24ca58fdac79aa5cb79b
SHA1: d02917ad9153549e60ae36f266d153befeac24ca
SHA256: 9197ebe35d3d23468b15baa7b23d3653b47cdfc27b4d2cbd3bb125cd889e926d
SHA512: 933c5001992a446b60d3db1c460ddaf97ec845b88b0747f22696086d048460139f40d3d8493042460741ee246705bc0be01da97355f039a9f9e3ea68efa353f3
Homepage: https://cran.r-project.org/package=VecStatGraphs2D
Description: CRAN Package 'VecStatGraphs2D' (Vector Analysis using Graphical and Analytical Methods in 2D)
 A 2D statistical analysis is performed, both numerical and graphical, of a
 set of vectors. Since a vector has two components (module and azimuth)
 vector analysis is performed in three stages: modules are analyzed by means
 of linear statistics, azimuths are analyzed by circular statistics, and the
 joint analysis of modules and azimuths is done using density maps that allow
 detecting another distribution properties (i.e. anisotropy) and outliers.
 Tests and circular statistic parameters have associated a full range of
 graphing: histograms, maps of distributions, point maps, vector maps,
 density maps, distribution modules and azimuths.

Package: r-cran-vecstatgraphs3d
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgl, r-cran-misc3d, r-cran-mass
Filename: pool/dists/focal/main/r-cran-vecstatgraphs3d_1.6-1.ca2004.1_all.deb
Size: 134428
MD5sum: f7fb0aba4b38aba425971246c7af3617
SHA1: 4e1e4586e96ada17628944fad25e62a579f0c9c3
SHA256: 486aa2f54f7381d28d8b54a6359db167a19ff72001b50cc97fb3095b882540a3
SHA512: 455b6d2fef633d0d9e2c8e080ff5d273c2a1e1f5c153aaf3290677c857d2218ee8cd4b1ad3383d6dc1c4b9bf1c166a59611aaebb7220ee11675a8dbb24c8de17
Homepage: https://cran.r-project.org/package=VecStatGraphs3D
Description: CRAN Package 'VecStatGraphs3D' (Vector analysis using graphical and analytical methods in 3D)
 This package performs a 3D statistical analysis, both numerical and
 graphical, of a set of vectors. Since a vector has three components (a
 module and two angles) vectorial analysis is performed in two stages:
 modules are analyzed by means of linear statistics and orientations are
 analyzed by spherical statistics. Tests and spherical statistic parameters
 are accompanied by a graphs as: density maps, distribution modules and
 angles. The tests, spherical statistic parameters and graphs allow us
 detecting another distribution properties (i.e. anisotropy) and outliers.

Package: r-cran-vectorcoder
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-tidyverse, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vectorcoder_0.2.0-1.ca2004.1_all.deb
Size: 36964
MD5sum: 3879e0b92aacdecd8e2263c8567c6dc1
SHA1: a0c499c6ef6ef2049333d95a09c21f2de758fe49
SHA256: 15f0549e26b6c47bb66d17cccb10566f889a2029df1fcd58da1bc2930e38ae4d
SHA512: e8839c6420810b6af6100d39cb870672536a74bbc99a3fd1a08d644d2516a909961c0d5b180d3dec145e1f761a6a539a1ff106c7d402adc9917ceb74e240db72
Homepage: https://cran.r-project.org/package=VectorCodeR
Description: CRAN Package 'VectorCodeR' (Easily Analyze Your Gait Patterns Using Vector Coding Technique)
 Facilitate the analysis of inter-limb and intra-limb coordination in human
 movement.  It provides functions for calculating the phase angle between two
 segments, enabling researchers and practitioners to quantify the
 coordination patterns within and between limbs during various motor tasks.
 Needham, R., Naemi, R., & Chockalingam, N. (2014)
 <doi:10.1016/j.jbiomech.2013.12.032>.  Needham, R., Naemi, R., &
 Chockalingam, N. (2015) <doi:10.1016/j.jbiomech.2015.07.023>.  Tepavac, D.,
 & Field-Fote, E. C. (2001) <doi:10.1123/jab.17.3.259>.  Park, J.H., Lee, H.,
 Cho, Js. et al. (2021) <doi:10.1038/s41598-020-80237-w>.

Package: r-cran-vectorsurvr
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3948
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-rstudioapi, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-lubridate, r-cran-stringr, r-cran-httr2, r-cran-tidyr, r-cran-magrittr, r-cran-dt, r-cran-purrr, r-cran-sf
Suggests: r-cran-testthat, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-vectorsurvr_1.4.0-1.ca2004.1_all.deb
Size: 3542716
MD5sum: e2ee7e5589af5a9341c79f46e57ce4c4
SHA1: 9b110b540483ceb9e2137b84a635c742fbf86e42
SHA256: df7d979022fe153a19e17cd90d724ae55f54a418faba0e9f6790dad2bd129c59
SHA512: 3ba9503979f9f9ec7eafac6e62659a616e80213262e1ba94a91c559ea8dde60c4507164fe0757e2e75a7d2fc777117bc7723f131c2dfa9e5bc2f16a9dd1ea200
Homepage: https://cran.r-project.org/package=vectorsurvR
Description: CRAN Package 'vectorsurvR' (Data Access and Analytical Tools for 'VectorSurv' Users)
 Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to
 data through the 'VectorSurv API' <https://api.vectorsurv.org/>.
 Additionally provides functions for analysis and visualization.

Package: r-cran-vectorwavelet
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-biwavelet, r-cran-iterators, r-cran-spam, r-cran-maps, r-cran-fields, r-cran-foreach, r-cran-rcpp
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-vectorwavelet_0.1.0-1.ca2004.1_all.deb
Size: 68040
MD5sum: 5101a96f30cfcedc6e54a5b393c3637d
SHA1: 24a072256a507f377e5636e11138c7763ac19dbf
SHA256: 2c54f0fcc5ba706d818597940a9277658154c04833dcb6e19354e2053b96bf5d
SHA512: b32e37956c93f59043226c71ca2acc846c5a4568e33f17c6af83ae47f5243cba54c0897c1b08fbcbb41eed58ffc38314a6adc519501168d5d0d27add0ac73a5c
Homepage: https://cran.r-project.org/package=vectorwavelet
Description: CRAN Package 'vectorwavelet' (Vector Wavelet Coherence for Multiple Time Series)
 New wavelet methodology (vector wavelet coherence) (Oygur, T., Unal, G, 2020
 <doi:10.1007/s40435-020-00706-y>) to handle dynamic co-movements of
 multivariate time series via extending multiple and quadruple wavelet
 coherence methodologies.  This package can be used to perform multiple
 wavelet coherence, quadruple wavelet coherence, and n-dimensional vector
 wavelet coherence analyses.

Package: r-cran-vecvec
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rlang, r-cran-vctrs
Suggests: r-cran-lifecycle, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vecvec_0.1.0-1.ca2004.1_all.deb
Size: 34856
MD5sum: cbf0b04d227b204f06c6e89eb04bf428
SHA1: 7380a7356b5cac6e93bff3f005cbc561d8d69e6c
SHA256: 4f22eaa774566a20da188a7e610388c5a1b3fa406cedba0e0dc7d85912e76a03
SHA512: 52d17f04492b0eb99fa77d744d65b1c14af336eb59e3450d31c6d7040c745072b0d3d212bcd0060a5ab8726840b1f4f741c53119e5bc7c6a3c0d06c02b426d4c
Homepage: https://cran.r-project.org/package=vecvec
Description: CRAN Package 'vecvec' (Construct Mixed Type Data Structures with Vectors of Vectors)
 Mixed type vectors are useful for combining semantically similar classes.
 Some examples of semantically related classes include time across different
 granularities (e.g. daily, monthly, annual) and probability distributions
 (e.g. Normal, Uniform, Poisson). These groups of vector types typically
 share common statistical operations which vary in results with the
 attributes of each vector. The 'vecvec' data structure facilitates efficient
 storage and computation across multiple vectors within the same object.

Package: r-cran-vedicdatetime
Architecture: all
Version: 0.1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 463
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-swephr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-qpdf, r-cran-formatr, r-cran-spelling, r-cran-tinytex
Filename: pool/dists/focal/main/r-cran-vedicdatetime_0.1.9-1.ca2004.1_all.deb
Size: 368564
MD5sum: dc06b59679029831f1e7393303d76bc6
SHA1: 2cdb6178ca76d3951caa09a032db1535f4dae39d
SHA256: 8061e876265f3d0cbebfe213feb4dca11cdd8558423c2c4431628bfa8721ba52
SHA512: dbe700f3e20aa37497cf905614709e61998fe1457aeb5688697e5f3549146c2644b00023309c58e5adf35bbcacd80849c97f8a10b5ba9bea99fcdd54d60070f1
Homepage: https://cran.r-project.org/package=VedicDateTime
Description: CRAN Package 'VedicDateTime' (Vedic Calendar System)
 Provides platform for Vedic calendar system having several functionalities
 to facilitate conversion between Gregorian and Vedic calendar systems, and
 helpful in examining its impact in the time series analysis domain.

Package: r-cran-veesa
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 681
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fdasrvf, r-cran-forcats, r-cran-ggplot2, r-cran-purrr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-randomforest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-veesa_0.1.6-1.ca2004.1_all.deb
Size: 654692
MD5sum: 3b840cf39258b1c76584658f8d070bf1
SHA1: f5edcf804d3d568480eafb02c8b1a4d7175116d8
SHA256: e5caf845f4a2a7de900038e03447544844e27f1c6f7e905e35d3d15f95766bf8
SHA512: 8d70f9388dad598b29e629916400248a9d79951e4ee43875607b039029195ca494ce996eae0f3a4ba1f56db3ba2b851b75fc3eaee0fcd9b2302a14bd0dd02db5
Homepage: https://cran.r-project.org/package=veesa
Description: CRAN Package 'veesa' (Pipeline for Explainable Machine Learning with Functional Data)
 Implements the Variable importance Explainable Elastic Shape Analysis
 pipeline for explainable machine learning with functional data inputs.
 Converts training and testing data functional inputs to elastic shape
 analysis principal components that account for vertical and/or horizontal
 variability. Computes feature importance to identify important principal
 components and visualizes variability captured by functional principal
 components. See Goode et al. (2025) <doi:10.48550/arXiv.2501.07602> for
 technical details about the methodology.

Package: r-cran-vegalite
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3839
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-htmltools, r-cran-magrittr, r-cran-digest, r-cran-clipr, r-cran-webshot, r-cran-base64
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vegalite_0.6.1-1.ca2004.1_all.deb
Size: 902576
MD5sum: e759af790c7e266a68e77aabc25a432a
SHA1: b47fc7dbb2155d518d5d38fd1b229bc30e628a50
SHA256: 4d7f1224e5fc4e9211644c92262868b8be2a9d322873d788272c95bbeeb338ac
SHA512: c71bcb5ab7f85038e25a79b30d318a2615589118ff7c8f010e3c34a4238707d51e39d383f5d83df355be9365c33d317ae171cfa20958e98254dfe30a59905dc1
Homepage: https://cran.r-project.org/package=vegalite
Description: CRAN Package 'vegalite' (Tools to Encode Visualizations with the 'Grammar ofGraphics'-Like 'Vega-Lite' 'Spec')
 The 'Vega-Lite' 'JavaScript' framework provides a higher-level grammar for
 visual analysis, akin to 'ggplot' or 'Tableau', that generates complete
 'Vega' specifications. Functions exist which enable building a valid 'spec'
 from scratch or importing a previously created 'spec' file. Functions also
 exist to export 'spec' files and to generate code which will enable plots to
 be embedded in properly configured web pages. The default behavior is to
 generate an 'htmlwidget'.

Package: r-cran-vegan3d
Architecture: all
Version: 1.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vegan, r-cran-cluster, r-cran-lattice, r-cran-rgl, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-vegan3d_1.4-0-1.ca2004.1_all.deb
Size: 145168
MD5sum: ce61f6f274adfad64f5bc0f80f9a30a0
SHA1: 7dd064620429ba476087e9e05aa35ca57b70331b
SHA256: 07bcd90d5a02a01297feb05186a4c957d878997518b6c9e4b9e6b129c5da415e
SHA512: 8b7f67d2e9ffd21ae2a50f2cee6176ad6b1dd3020e2bde49ad14aed657cc4a604897f2c4239bf7aa54cec858bf71171ca878381fe848d006759404a07ceda6cc
Homepage: https://cran.r-project.org/package=vegan3d
Description: CRAN Package 'vegan3d' (Static and Dynamic 3D and Editable Interactive Plots for the'vegan' Package)
 Static and dynamic 3D plots to be used with ordination results and in
 diversity analysis, especially with the vegan package.

Package: r-cran-vegawidget
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4520
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-jsonlite, r-cran-htmlwidgets, r-cran-assertthat, r-cran-rlang, r-cran-glue, r-cran-magrittr, r-cran-htmltools, r-cran-digest
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-listviewer, r-cran-testthat, r-cran-yaml, r-cran-fs, r-cran-usethis, r-cran-readr, r-cran-tibble, r-cran-lubridate, r-cran-v8, r-cran-withr, r-cran-learnr, r-cran-rsvg, r-cran-dplyr, r-cran-png, r-cran-conflicted, r-cran-here, r-cran-shiny, r-cran-purrr, r-cran-rsconnect
Filename: pool/dists/focal/main/r-cran-vegawidget_0.5.0-1.ca2004.1_all.deb
Size: 799396
MD5sum: f236e80a614cfc9d098dc1edb7640c84
SHA1: c97975e63116d9276c0e4cc886168157f32ae2c5
SHA256: cca4c81657b63ec0fb285393500679591f0b77cebe30555664c05f59bdb9a4bf
SHA512: 2bea6c4b46147c279fce8b6b0c92853741abd117173c3960c14ccc4e7cf525c595270868640e92a3d6cbc57b78cc83d7df00e4be61adef8a1dc7f308ac10cb36
Homepage: https://cran.r-project.org/package=vegawidget
Description: CRAN Package 'vegawidget' ('Htmlwidget' for 'Vega' and 'Vega-Lite')
 'Vega' and 'Vega-Lite' parse text in 'JSON' notation to render
 chart-specifications into 'HTML'. This package is used to facilitate the
 rendering. It also provides a means to interact with signals, events, and
 datasets in a 'Vega' chart using 'JavaScript' or 'Shiny'.

Package: r-cran-vegclust
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1061
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-vegan
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vegclust_2.0.3-1.ca2004.1_all.deb
Size: 708180
MD5sum: 467fc5fb0cd967a67559674f85d0336b
SHA1: 8330f835117ffedb3a96b3daf8efd457ca2b1205
SHA256: 950c36bb4f5ccb4b17355c30d84449a9f18a8cd82c0476b2fc3224d1787c42bb
SHA512: 179c3abfd667af125796f74eb606f73d627781581aa538f60dc497304aacded935dd8de76fc4c5c7b421453b5e98d9888e94ca061fd9ab8675670677d5a7dc48
Homepage: https://cran.r-project.org/package=vegclust
Description: CRAN Package 'vegclust' (Fuzzy Clustering of Vegetation Data)
 A set of functions to: (1) perform fuzzy clustering of vegetation data (De
 Caceres et al, 2010) <doi:10.1111/j.1654-1103.2010.01211.x>; (2) to assess
 ecological community similarity on the basis of structure and composition
 (De Caceres et al, 2013) <doi:10.1111/2041-210X.12116>.

Package: r-cran-vegdata
Architecture: all
Version: 0.9.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1066
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-foreign, r-cran-curl, r-cran-dbi, r-cran-rsqlite, r-cran-dplyr, r-cran-dbplyr, r-cran-magrittr, r-cran-hoardr, r-cran-indicspecies, r-cran-xml2, r-cran-httr, r-cran-stringr, r-cran-plyr
Suggests: r-cran-labdsv, r-cran-interp, r-cran-vegan, r-cran-uuid, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-vegdata_0.9.12-1.ca2004.1_all.deb
Size: 650980
MD5sum: 87eb1c86323c776446edb3437ba2da57
SHA1: 46d244df5f0f82f43cbf96333b3cbb538f19ce29
SHA256: 5c0c36ffd0cefd2e410b28ec9e7309d6d45078d7157141d81828077998e3cd8d
SHA512: a9bd1e7d2f6d4ce58d3da7ae021121372b0326caa16956cdc640d8fd1940c42abc9f075bf64f16c3ea0dbadda8891dabd4c59f06ce6fd48c2a549d7028dbc0be
Homepage: https://cran.r-project.org/package=vegdata
Description: CRAN Package 'vegdata' (Access Vegetation Databases and Treat Taxonomy)
 Handling of vegetation data from different sources ( Turboveg 2.0
 <https://www.synbiosys.alterra.nl/turboveg/>; the German national repository
 <https://www.vegetweb.de> and others.  Taxonomic harmonization (given
 appropriate taxonomic lists, e.g. the German taxonomic standard list
 "GermanSL", <https://germansl.infinitenature.org>).

Package: r-cran-vegindexcalc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vegindexcalc_0.1.0-1.ca2004.1_all.deb
Size: 20708
MD5sum: e790b2dfb6cd1e7b5bd7b88f26ea7cc6
SHA1: 89c9e8ee4f67c93811f3c938ce86d81269352953
SHA256: a8c022220db031c07963d19a74105ea5bd38cfdc47554cc97f22f8855c06aa3e
SHA512: d754137b52137fc5ef1672c3b3440b0b9eec0276118a953e7124cc55764d43e4e1f7690089431f91f4b1ce992da22bf67b4e4645217b09b860ee281327b7a172
Homepage: https://cran.r-project.org/package=vegIndexCalc
Description: CRAN Package 'vegIndexCalc' (Vegetation Indices (VIs) Calculation for Remote Sensing Analysis)
 It provides a comprehensive toolkit for calculating a suite of common
 vegetation indices (VIs) derived from remote sensing imagery. VIs are
 essential tools used to quantify vegetation characteristics, such as
 biomass, leaf area index (LAI) and photosynthetic activity, which are
 essential parameters in various ecological, agricultural, and environmental
 studies. Applications of this package include biomass estimation, crop
 monitoring, forest management, land use and land cover change analysis and
 climate change studies. For method details see,
 Deb,D.,Deb,S.,Chakraborty,D.,Singh,J.P.,Singh,A.K.,Dutta,P.and
 Choudhury,A.(2020)<doi:10.1080/10106049.2020.1756461>. Utilizing this R
 package, users can effectively extract and analyze critical information from
 remote sensing imagery, enhancing their comprehension of vegetation dynamics
 and their importance in global ecosystems. The package includes the function
 vegetation_indices().

Package: r-cran-vegperiod
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 237
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-curl, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-vegperiod_0.4.0-1.ca2004.1_all.deb
Size: 122888
MD5sum: 8a4380fda998412fa61e37fe6bdd0cd8
SHA1: 2f67add4648e2bbe2ed86733a3a585c12c8b9d7e
SHA256: a2324583617a997259e3b7fd83c1577098b66be7a9097b3acdf51783c2c7106f
SHA512: 9c34e3d3198959854505fbc03e9c97fddb0f4534b64243e6906e5fe497a8a0466187b6e1a6afc3b51930cae0649d8be349c0244f31260df7883bc0d7edb274d2
Homepage: https://cran.r-project.org/package=vegperiod
Description: CRAN Package 'vegperiod' (Determine Thermal Vegetation Periods)
 Collection of common methods to determine growing season length in a simple
 manner. Start and end dates of the vegetation periods are calculated solely
 based on daily mean temperatures and the day of the year.

Package: r-cran-vegspecindex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vegspecindex_0.1.0-1.ca2004.1_all.deb
Size: 43252
MD5sum: 28787e65fee28e3f37a826ea0d96c893
SHA1: cdabfded96f55a04bfe531fd57890d4386624a59
SHA256: 538013b9628ae8db868f3942ba2223cb7bc9c349bdd37ded467842cfba716d08
SHA512: 8fc34586880912a5d469557f22fb155923618e70e544dcc433619358d4d3052da2a8af5ee5ea2dea651c6219a5ebf3a996d0954a21e6c9594bf625f5e664adf7
Homepage: https://cran.r-project.org/package=VegSpecIndex
Description: CRAN Package 'VegSpecIndex' (Vegetation and Spectral Indices for Environmental Assessment)
 Earth system dynamics, such as plant dynamics, water bodies, and fire
 regimes, are widely monitored using spectral indicators obtained from
 multispectral remote sensing products. There is a great need for spectral
 index catalogues and computing tools as a result of the quick rise of
 suggested spectral indices. Unfortunately, the majority of these resources
 lack a standard Application Programming Interface, are out-of-date,
 closed-source, or are not linked to a catalogue. We now introduce
 'VegSpecIndex', a standardised list of spectral indices for studies of the
 earth system. A thorough inventory of spectral indices is offered by
 'VegSpecIndex' and is connected to an R library. For every spectral index,
 'VegSpecIndex' provides a comprehensive collection of information, such as
 names, formulae, and source references. The user community may add more
 items to the catalogue, which will keep 'VegSpecIndex' up to date and allow
 for further scientific uses. Additionally, the R library makes it possible
 to apply the catalogue to actual data, which makes it easier to employ
 remote sensing resources effectively across a variety of Earth system
 domains.

Package: r-cran-vegtable
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1908
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-taxlist, r-cran-foreign, r-cran-qdapregex, r-cran-sp, r-cran-stringi, r-cran-vegdata
Suggests: r-cran-biblio, r-cran-knitr, r-cran-rmarkdown, r-cran-sf, r-cran-testthat, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-vegtable_0.1.8-1.ca2004.1_all.deb
Size: 1023992
MD5sum: 9caccdc2150d2ad13d7431dc633e20c7
SHA1: 8230f0cfedd0fb5688a0f06b0a6703b747e39ff8
SHA256: 166385b712aa537792122198de6a5a1ed05d1b6d220e49b0942f4623e3d41649
SHA512: 478f7926f65c852ed4c07311e91b14b9a9ff79a0152332bdd3144f4a1b84eaccbd85b0d9b983f111655d42c01d7f2e2bd80a6b56dc9d102ca350bfd40888aa65
Homepage: https://cran.r-project.org/package=vegtable
Description: CRAN Package 'vegtable' (Handling Vegetation Data Sets)
 Import and handling data from vegetation-plot databases, especially data
 stored in 'Turboveg 2' (<https://www.synbiosys.alterra.nl/turboveg/>).  Also
 import/export routines for exchange of data with 'Juice'
 (<https://www.sci.muni.cz/botany/juice/>) are implemented.

Package: r-cran-vek
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-vek_1.0.0-1.ca2004.1_all.deb
Size: 37884
MD5sum: 0762d6923c0749d1ca73ed9f56a84497
SHA1: 70c0358aa72195586eb999494bb635be46158342
SHA256: 54d8e53f060ea4dc7d2551f1a324070f99c82d4fe5233862ab6ea2bb9b037d43
SHA512: b8a66c5d1c5401bf193579c71be76d6d1bae634640f74797e70004f2e443c9c291c9fd65f8c0b11f892cf54095f9a5e458983f7d37bae4dcb7890e17ea4d2b18
Homepage: https://cran.r-project.org/package=vek
Description: CRAN Package 'vek' (Predicate Helper Functions for Testing Simple Atomic Vectors)
 Predicate helper functions for testing atomic vectors in R. All functions
 take a single argument 'x' and check whether it's of the target type of
 base-R atomic vector (i.e. no class extensions nor attributes other than
 'names'), returning TRUE or FALSE. Some additionally check for value (e.g.
 absence of missing values, infinities, blank characters, or 'names'
 attribute; or having length 1).

Package: r-cran-velociraptr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf
Filename: pool/dists/focal/main/r-cran-velociraptr_1.1.0-1.ca2004.1_all.deb
Size: 58280
MD5sum: 5c3922266c5b3546686039d8571e07be
SHA1: fb1393877fe534bcc8c303d2b3709ffebf7ea847
SHA256: 546bff4dd6a4c622f334d4acedc1c68fe1df83336cdc7fe79f27b7eb42c5ca31
SHA512: 11d2279cc4f1c2b6ac3925e5d346bae65dbc48a0356cdb2184cf73e737998d059d2b0115771d8c380ea98dce735589018116526627b23f81fea55b09f4ed67d2
Homepage: https://cran.r-project.org/package=velociraptr
Description: CRAN Package 'velociraptr' (Fossil Analysis)
 Functions for downloading, reshaping, culling, cleaning, and analyzing
 fossil data from the Paleobiology Database <https://paleobiodb.org>.

Package: r-cran-vembedr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmltools, r-cran-httr, r-cran-stringr, r-cran-magrittr, r-cran-glue, r-cran-assertthat, r-cran-lifecycle
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-covr, r-cran-here, r-cran-fs, r-cran-conflicted, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-vembedr_0.1.5-1.ca2004.1_all.deb
Size: 556364
MD5sum: d7a3de365f779e0deb0527903a148a9f
SHA1: 8ddcdbc9f1e97cf159f326ea0580dd51b1651e50
SHA256: 65bb210ea703b8c50dbf223f9ed79cb0f72fe6d1df948cde5f9ae2a893c652e1
SHA512: f387473e9915d4928f66648c89abde579154018394efe16da88265d0bd77b0a254fc02d9b841a1312c2ecd734a25e4059b0e71f837adfc950c310a445599fde3
Homepage: https://cran.r-project.org/package=vembedr
Description: CRAN Package 'vembedr' (Embed Video in HTML)
 A set of functions for generating HTML to embed hosted video in your R
 Markdown documents or Shiny applications.

Package: r-cran-venn
Architecture: all
Version: 1.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 337
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-admisc
Suggests: r-cran-qca, r-cran-ggplot2, r-cran-ggpolypath
Filename: pool/dists/focal/main/r-cran-venn_1.12-1.ca2004.1_all.deb
Size: 309452
MD5sum: 2851f938d03ad777143920b9bc800144
SHA1: dc36988b1f552820172599f95cdf091ed54f9f53
SHA256: 1508253a4162f7785a988a1f32c497729370838ba3d605d05917ae9917d06823
SHA512: 8c6b63293a4fa049d1ad5fae2249b07596aac22d3f892fd117234e382e8a913ea26c71e97f307712f26a9544857cd32bacbd25f94925d501e75ade704591fd82
Homepage: https://cran.r-project.org/package=venn
Description: CRAN Package 'venn' (Draw Venn Diagrams)
 A close to zero dependency package to draw and display Venn diagrams up to 7
 sets, and any Boolean union of set intersections.

Package: r-cran-venndiagram
Architecture: all
Version: 1.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 286
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-futile.logger
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-venndiagram_1.7.3-1.ca2004.1_all.deb
Size: 248136
MD5sum: 1a013758851dd2f1ec86d6fc3e365315
SHA1: 28e3c07cbf7ffd954c4b8c1f3614f7034c41efd1
SHA256: 3ac29e5bbec5dc9d1ed6e207b291d34730088b891da941be6a515fc0bd157a88
SHA512: 7276ac0c198fd5ea49a498f3c24aeb4d6f925d478319c8c5f487eba29f7086aa918e0bd9f14976f5df1829046a04ba417c8c9ec886f495fe49638f24f697f7a8
Homepage: https://cran.r-project.org/package=VennDiagram
Description: CRAN Package 'VennDiagram' (Generate High-Resolution Venn and Euler Plots)
 A set of functions to generate high-resolution Venn and Euler plots.
 Includes handling for several special cases, including two-case scaling, and
 extensive customization of plot shape and structure.

Package: r-cran-venneuler
Architecture: all
Version: 1.1-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-venneuler_1.1-4-1.ca2004.1_all.deb
Size: 54400
MD5sum: 0dfc9bf7afc9c1efb7cfa4b6341dc40c
SHA1: 431667721e5c594b846876dbdb045f7c2798d662
SHA256: 61111d1f1357ee41ae247e658ab2efd5444307ce383f176f2111684f13a8ad33
SHA512: 4e5c7a4d94ae0aa22247d44d7f3acfc5f479dea3dcedfe0b99ab91e40ebc338a4e393fce718dec75e5f532a10860b44bca0897a0207eaec8e527917327070d59
Homepage: https://cran.r-project.org/package=venneuler
Description: CRAN Package 'venneuler' (Venn and Euler Diagrams)
 Calculates and displays Venn and Euler Diagrams.

Package: r-cran-verbaliser
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-verbaliser_0.1-1.ca2004.1_all.deb
Size: 158344
MD5sum: 504f10237917b835ce9d45f3ed5e2b55
SHA1: fdf5132aee15a00b1fc8be535654c21f3e26d88e
SHA256: dcb8ba1c077779a2b03c9413b962641af2b55b8ddb0295f218cca4062388677f
SHA512: 8b209242599bc793c4f32f994131c67f1641b21727ca100e8d33d0fe3bcd760449fdd5a5ed45ebe0434afdff1a4fb7ee189cdda7b6e079749862bba86528dfc2
Homepage: https://cran.r-project.org/package=verbaliseR
Description: CRAN Package 'verbaliseR' (Make your Text Mighty Fine)
 Turn R analysis outputs into full sentences, by writing vectors into
 in-sentence lists, pluralising words conditionally, spelling out numbers if
 they are at the start of sentences, writing out dates in full following US
 or UK style, and managing capitalisations in tidy data.

Package: r-cran-verbalisr
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-pedtools, r-cran-ribd
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-verbalisr_0.7.2-1.ca2004.1_all.deb
Size: 121232
MD5sum: 7b916ba76b94222321568ba1fc0877a2
SHA1: 0a892001d0b43a1de3a073a22db623d7e9ea4e76
SHA256: d3274df953a02ae0c9325c2c289aeb78ce366a5ea4a6b1e99e109d1652477f58
SHA512: d1d38b2c75d996075d658ec06f870cfa146b8a494808f5136e2135f76f81329a815689592c71438aeeb50459bd2e83f5293e795a894b433e878213c24b831248
Homepage: https://cran.r-project.org/package=verbalisr
Description: CRAN Package 'verbalisr' (Describe Pedigree Relationships in Words)
 Describe in words the genealogical relationship between two members of a
 given pedigree, using the algorithm in Vigeland (2022)
 <doi:10.1186/s12859-022-04759-y>. 'verbalisr' is part of the 'pedsuite'
 collection of packages for pedigree analysis. For a demonstration of
 'verbalisr', see the online app 'QuickPed' at
 <https://magnusdv.shinyapps.io/quickped>.

Package: r-cran-verdata
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3173
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-assertr, r-cran-digest, r-cran-dplyr, r-cran-glue, r-cran-lcmcr, r-cran-logger, r-cran-magrittr, r-cran-purrr, r-cran-rdpack, r-cran-readr, r-cran-rjson, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-verdata_1.0.0-1.ca2004.1_all.deb
Size: 1819416
MD5sum: 9422fc1aa9b205f83dd9e74c4dedef8d
SHA1: cfe50b75e756f6399c93b4aada1c9c62ac9ef7d5
SHA256: e7383e0789500e79517524c5b95134f666404bac41ee811644effaf70b1490c3
SHA512: 354aab7903bd215ac98aa4980f511f3a6fb30cdcb7349e5e095310a087dd6f8de08db018ba62133b5c1c5bd60ae222d1139f7fdb01cb2607a4892b0e7355ee18
Homepage: https://cran.r-project.org/package=verdata
Description: CRAN Package 'verdata' (Analyze Data from the Truth Commission in Colombia)
 Facilitates use and analysis of data about the armed conflict in Colombia
 resulting from the joint project between La Jurisdicción Especial para la
 Paz (JEP), La Comisión para el Esclarecimiento de la Verdad, la Convivencia
 y la No repetición (CEV), and the Human Rights Data Analysis Group (HRDAG).
 The data are 100 replicates from a multiple imputation through chained
 equations as described in Van Buuren and Groothuis-Oudshoorn (2011)
 <doi:10.18637/jss.v045.i03>. With the replicates the user can examine four
 human rights violations that occurred in the Colombian conflict accounting
 for the impact of missing fields and fully missing observations.

Package: r-cran-verhoeff
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-verhoeff_0.4.0-1.ca2004.1_all.deb
Size: 20664
MD5sum: d249be3a4268325c3435098d80f5aada
SHA1: 74ad03c5f0f1e712a4c7cb837e5b39bb533bf61e
SHA256: ff73161f3d184e65f3f21daf862e827bfd79c533ff26faa99470772fa08a0e40
SHA512: 192af1b4b6d8f0ab9e409f19e197641fb570ae903a24a1dadfec6c58a1521e0669466f152190a884ee6a6da52888e0dc4048e08a57207ba0799053b6c7e4a493
Homepage: https://cran.r-project.org/package=verhoeff
Description: CRAN Package 'verhoeff' (Implementation of the 'Verhoeff' Check Digit Algorithm)
 An implementation of the 'Verhoeff' algorithm for calculating check digits
 (Verhoeff, J. (1969) <doi:10.1002/zamm.19710510323>).  Functions are
 provided to calculate a check digit given an input number, calculate and
 append a check digit to an input number, and validate that a check digit is
 correct given an input number.

Package: r-cran-verification
Architecture: all
Version: 1.44-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1547
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fields, r-cran-boot, r-cran-circstats, r-cran-mass, r-cran-dtw
Filename: pool/dists/focal/main/r-cran-verification_1.44-1.ca2004.1_all.deb
Size: 1528008
MD5sum: e79019f2d974d3dff75a31eb34204abb
SHA1: 892075ed91a8f14ef637a1b1484286f92544b195
SHA256: bcb58b0a87a9982da8b8de41c00d67130843ae7f1ad476bc083b5135fe2fa647
SHA512: b2e0bdb074afee7c85f61aa479e04ea3a9ee0557be5671153475e6c775adf5412a338d9b7055cac48777563b19a99dfb25b1529f18fed2974fe121cb2b182e30
Homepage: https://cran.r-project.org/package=verification
Description: CRAN Package 'verification' (Weather Forecast Verification Utilities)
 Utilities for verifying discrete, continuous and probabilistic forecasts,
 and forecasts expressed as parametric distributions are included.

Package: r-cran-vermeulen
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1985
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-memoise
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-vermeulen_0.1.2-1.ca2004.1_all.deb
Size: 1975432
MD5sum: 96f22e8c30bec3e76c8d1557de209039
SHA1: 033650022365e7b27d5d2d670485fefe143a2d3e
SHA256: 2efca9788117006ee627ed28e7bad398894d58b9222a30550903407896f1a0f9
SHA512: 3f385ff252bed15b265c30f8ef63da1daef8e18fbc12758a2036324ba956f9b2fb88229103597eeecfaa699511f47e5aabb6072638f6ce324abf852bfcacc493
Homepage: https://cran.r-project.org/package=vermeulen
Description: CRAN Package 'vermeulen' (Biomarker Data Set by Vermeulen et al. (2009))
 The biomarker data set by Vermeulen et al. (2009)
 <doi:10.1016/S1470-2045(09)70154-8> is provided. The data source, however,
 is by Ruijter et al. (2013) <doi:10.1016/j.ymeth.2012.08.011>. The original
 data set may be downloaded from
 <https://medischebiologie.nl/wp-content/uploads/2019/02/qpcrdatamethods.zip>.
 This data set is for a real-time quantitative polymerase chain reaction
 (PCR) experiment that comprises the raw fluorescence data of 24,576
 amplification curves. This data set comprises 59 genes of interest and 5
 reference genes. Each gene was assessed on 366 neuroblastoma complementary
 DNA (cDNA) samples and on 18 standard dilution series samples (10-fold
 5-point dilution series x 3 replicates + no template controls (NTC) x 3
 replicates).

Package: r-cran-versioning
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-glue, r-cran-r6, r-cran-yaml
Suggests: r-cran-data.table, r-cran-foreign, r-cran-haven, r-cran-readxl, r-cran-sf, r-cran-terra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-versioning_0.2.0-1.ca2004.1_all.deb
Size: 85092
MD5sum: 3ba6bec938d5dcc39d05dcfa27b1660e
SHA1: 2a3d2bf26c6b7d0f2f15d8c585aaa7cb0ab8e7d1
SHA256: 7789c75ed1ea51b4c0b40c501633f160709c405f691e44c0e36d2af9a8dd68a6
SHA512: f11d666562a1c67db580000cf0eebf9ff842d3d1a2ba0c8cde218afae7f0e35544198ab07e2a022ad778fffbcb752021f7988537de044c62cced2a625ddeceb7
Homepage: https://cran.r-project.org/package=versioning
Description: CRAN Package 'versioning' (Settings and File I/O using a Configuration YAML File)
 R data pipelines commonly require reading and writing data to versioned
 directories. Each directory might correspond to one step of a multi-step
 process, where that version corresponds to particular settings for that step
 and a chain of previous steps that each have their own versions. This
 package creates a configuration object that makes it easy to read and write
 versioned data, based on YAML configuration files loaded and saved to each
 versioned folder.

Package: r-cran-versions
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-versions_0.3-1.ca2004.1_all.deb
Size: 32140
MD5sum: adfc7063d0e653081caa9682de404c06
SHA1: 7540426d5587c7eb96582c26095693f7a86dfdc9
SHA256: 030ebd062aabe7427dcf536fe008d46bf547e9d6a96400b1a51b98c030a728b5
SHA512: e4041ff3f4c0395c1db287ce5c41947be7463da8032697608a9f6086abcbfb787e7dfdcb43099d3419c6566105a26d347622481c06a7bb9d5a8ebf94e0abce7d
Homepage: https://cran.r-project.org/package=versions
Description: CRAN Package 'versions' (Query and Install Specific Versions of Packages on CRAN)
 Installs specified versions of R packages hosted on CRAN and provides
 functions to list available versions and the versions of currently installed
 packages. These tools can be used to help make R projects and packages more
 reproducible. 'versions' fits in the narrow gap between the 'devtools'
 install_version() function and the 'checkpoint' package.
 devtools::install_version() installs a stated package version from source
 files stored on the CRAN archives. However CRAN does not store binary
 versions of packages so Windows users need to have RTools installed and
 Windows and OSX users get longer installation times. 'checkpoint' uses the
 Revolution Analytics MRAN server to install packages (from source or binary)
 as they were available on a given date. It also provides a helpful interface
 to detect the packages in use in a directory and install all of those
 packages for a given date.  'checkpoint' doesn't provide
 install.packages-like functionality however, and that's what 'versions' aims
 to do, by querying MRAN. As MRAN only goes back to 2014-09-17, 'versions'
 can't install packages archived before this date.

Package: r-cran-versionsort
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-versionsort_1.1.0-1.ca2004.1_all.deb
Size: 20752
MD5sum: 5e02ff56b38c825ef7c2929c49e496a3
SHA1: 473c4e6a112a4eebeb1a419c658eb713b47f1b08
SHA256: ff7ad20ad9d8c88309438efe24c8c504efb651dbcb188068fe5012b172faa808
SHA512: 802fd98c2d1696eaddbce26a23880453d0c25910285eb522ac801780c31840d1a45ee37a9d61dec3f5f5de34b115eabeaf8ca8f96ead5438a1261b76c2825676
Homepage: https://cran.r-project.org/package=versionsort
Description: CRAN Package 'versionsort' (Sort and Order Version Codes)
 A lightweight package for sorting version codes in various forms. No strong
 dependencies guaranteed.

Package: r-cran-vertexsimilarity
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-vertexsimilarity_0.1-1.ca2004.1_all.deb
Size: 10408
MD5sum: 2ced21131fe505690ac42e6cc63da0e7
SHA1: ce87758c643f6431fcda383e51b0df0ef3b0c9c6
SHA256: 014a37abd88c05eb377fb0e5abae6a15be52dd867a74abe9980c9a06d0c65ada
SHA512: 6707af737289cf644986516388af2dff6f7e540643ebd07691b59165d68a2038c13cd46762551991d22957b3d89bba3abe95aa19fd6dfd2f53cdbc2877fcc7be
Homepage: https://cran.r-project.org/package=VertexSimilarity
Description: CRAN Package 'VertexSimilarity' (Creates Vertex Similarity Matrix for an Undirected Graph)
 Creates Vertex Similarity matrix of an undirected graph based on the method
 stated by E. A. Leicht, Petter Holme, AND M. E. J. Newman in their paper
 <DOI:10.1103/PhysRevE.73.026120>.

Package: r-cran-vertexsort
Architecture: all
Version: 0.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph, r-cran-snowfall
Filename: pool/dists/focal/main/r-cran-vertexsort_0.1-1-1.ca2004.1_all.deb
Size: 88388
MD5sum: 78aac7fe28d5c30cdc7203602c173e50
SHA1: a65ad3942976d6bef3a18224e327456181c14b52
SHA256: 38b05a994c992468c309b9a0b84f65fc9ed2556adfcab246f4da5332dab52973
SHA512: df82e0c3e0bf2126ed10cdb1b54eaff4c389b305b3961e4786e1ba329419a914d99b8d98f1e1acafbc963de2163b4f8a3f07d65e0b236dbf47b04ae6341e7505
Homepage: https://cran.r-project.org/package=VertexSort
Description: CRAN Package 'VertexSort' (Network Hierarchical Structure and Randomization)
 Permits to apply the 'Vertex Sort' algorithm (Jothi et al. (2009)
 <10.1038/msb.2009.52>) to a graph in order to elucidate its hierarchical
 structure. It also allows graphic visualization of the sorted graph by
 exporting the results to a cytoscape friendly format. Moreover, it offers
 five different algorithms of graph randomization: 1) Randomize a graph with
 preserving node degrees, 2) with preserving similar node degrees, 3) without
 preserving node degrees, 4) with preserving node in-degrees and 5) with
 preserving node out-degrees.

Package: r-cran-vertexwiser
Architecture: all
Version: 1.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4964
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ciftitools, r-cran-doparallel, r-cran-dosnow, r-cran-foreach, r-cran-freesurferformats, r-cran-fs, r-cran-gifti, r-cran-igraph, r-cran-plotly, r-cran-png, r-cran-rappdirs, r-cran-reticulate, r-cran-stringr
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-vertexwiser_1.3.2-1.ca2004.1_all.deb
Size: 3593556
MD5sum: 25e4823dd643b5ce2fd0cbbf92282e5c
SHA1: dc0bfaf576f58a2be7a4bb2e2b037d009a112801
SHA256: 58ac3fc82f72eb6ec75c6577937200405fea2dce9854abed062cd8becc7bf322
SHA512: a6588c2bcdd254e0ba1a082cc0b5f671429e7b5341021a8d23fa9058ec293b71ccf7565c1c34dcb531d7984168c30b9b460b66e01e6d57732ac9cbb791ee771e
Homepage: https://cran.r-project.org/package=VertexWiseR
Description: CRAN Package 'VertexWiseR' (Simplified Vertex-Wise Analyses of Whole-Brain and HippocampalSurface)
 Provides functions to run statistical analyses on surface-based neuroimaging
 data, computing measures including cortical thickness and surface area of
 the whole-brain and of the hippocampi.  It can make use of 'FreeSurfer',
 'fMRIprep', 'XCP-D', 'HCP' and 'CAT12' preprocessed datasets and
 'HippUnfold' hippocampal segmentation outputs for a given sample by
 restructuring the data values into a single file. The single file can then
 be used by the package for analyses independently from its base dataset and
 without need for its access.

Package: r-cran-vesselr
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-oro.nifti, r-cran-pbmcapply, r-cran-pbapply
Filename: pool/dists/focal/main/r-cran-vesselr_0.2.1-1.ca2004.1_all.deb
Size: 29480
MD5sum: f9649db44f3d3bd7f9d0e30675d977b9
SHA1: 1c77af57d601d820d5c9ff36caa574d4ce98ffa1
SHA256: 688bcda92344a44e4dd5ed5eb13b9db0f3d88655582bdea1fac6d446e2fa423c
SHA512: 1e1bc18a5cd047e70ae5495b6c1efb70cfbb31e326b6ec2067eaf82c0beac9483716134a8eec91daa78c070e8e34c2fa626e8511b05e432b3434c92643f5fc50
Homepage: https://cran.r-project.org/package=vesselr
Description: CRAN Package 'vesselr' (Gradient and Vesselness Tools for Arrays and NIfTI Images)
 Simple functions for calculating the image gradient, image hessian, volume
 ratio filter, and Frangi vesselness filter of 3-dimensional volumes.

Package: r-cran-vetiver
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1343
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-bundle, r-cran-butcher, r-cran-cereal, r-cran-cli, r-cran-ellipsis, r-cran-fs, r-cran-generics, r-cran-glue, r-cran-hardhat, r-cran-lifecycle, r-cran-magrittr, r-cran-pins, r-cran-purrr, r-cran-rapidoc, r-cran-readr, r-cran-rlang, r-cran-tibble, r-cran-vctrs, r-cran-withr
Suggests: r-cran-arrow, r-cran-callr, r-cran-caret, r-cran-clustmixtype, r-cran-covr, r-cran-curl, r-cran-dplyr, r-cran-flexdashboard, r-cran-ggplot2, r-cran-httpuv, r-cran-httr, r-cran-jsonlite, r-cran-keras, r-cran-knitr, r-cran-liblinear, r-cran-luz, r-cran-mgcv, r-cran-mlr3, r-cran-mlr3data, r-cran-mlr3learners, r-cran-mockery, r-cran-modeldata, r-cran-parsnip, r-cran-paws.machine.learning, r-cran-pingr, r-cran-plotly, r-cran-plumber, r-cran-ranger, r-cran-recipes, r-cran-reticulate, r-cran-rmarkdown, r-cran-rpart, r-cran-rsconnect, r-cran-slider, r-cran-smdocker, r-cran-stacks, r-cran-tensorflow, r-cran-testthat, r-cran-tidyselect, r-cran-torch, r-cran-vdiffr, r-cran-workflows, r-cran-xgboost, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-vetiver_0.2.5-1.ca2004.1_all.deb
Size: 500040
MD5sum: b9a1a526fb0a8a58f054f3e25c1d0423
SHA1: 0906466b8bf75d924ecc15ee9be6fb5ca421384d
SHA256: e3f4686b5b694e4bcc217775205c9e6eca6e6cdf02ff26309fe30a3d4c08d142
SHA512: 0e7257a6283c860eb9be03d38adfea416c2742cad5b744533aeb47ba3adcb84b653f13a5199257bc457f41c922f1a05262b9fdbffb09c364f427beab579d18c9
Homepage: https://cran.r-project.org/package=vetiver
Description: CRAN Package 'vetiver' (Version, Share, Deploy, and Monitor Models)
 The goal of 'vetiver' is to provide fluent tooling to version, share,
 deploy, and monitor a trained model. Functions handle both recording and
 checking the model's input data prototype, and predicting from a remote API
 endpoint. The 'vetiver' package is extensible, with generics that can
 support many kinds of models.

Package: r-cran-vetools
Architecture: all
Version: 1.3-28-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4249
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-stringr, r-cran-tis, r-cran-lubridate, r-cran-maptools, r-cran-plyr, r-cran-xts, r-cran-scales
Filename: pool/dists/focal/main/r-cran-vetools_1.3-28-1.ca2004.1_all.deb
Size: 1665224
MD5sum: dbe403b7954a575a5bd64623cadbb96a
SHA1: 1d07e861693195f6107509a36b49827f08f2aa6e
SHA256: cd31cbd015192bacb03153db7d61ba134fe773c965821bee00db34af294edc3b
SHA512: d42a66ec5f64a908aedb36327e8e7b460819fe9296de86e5c830a5425f1666f68efd5ff4524a84e8347ae535980363d166628ef7038a2e82b8f0268724096748
Homepage: https://cran.r-project.org/package=vetools
Description: CRAN Package 'vetools' (Tools for Venezuelan Environmental Data)
 Integrated data management library that offers a variety of tools concerning
 the loading and manipulation of environmental data available from different
 Venezuelan governmental sources. Facilities are provided to plot temporal
 and spatial data as well as understand the health of a collection of
 meteorological data.

Package: r-cran-vetresearchlmm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-lme4, r-cran-nlme, r-cran-lmertest, r-cran-multcomp
Filename: pool/dists/focal/main/r-cran-vetresearchlmm_1.0.0-1.ca2004.1_all.deb
Size: 55196
MD5sum: 6b01b6437f22d2dd464231d5bdd7b09d
SHA1: e16130538c2877879151fa435a5a51427ceca48f
SHA256: f87f55d798b84ddefc5f40d4259c42fb66766ecd45df2ca61b228e1304cc0749
SHA512: 7bd07817ef205dfd25fc8d04f28209a91148554206e09995b632e6de1a117ad730e81ab61c103d06709ceb1f74332858c87fbfca1b8d3878e222ac12d1f19db2
Homepage: https://cran.r-project.org/package=VetResearchLMM
Description: CRAN Package 'VetResearchLMM' (Linear Mixed Models - An Introduction with Applications inVeterinary Research)
 R Codes and Datasets for Duchateau, L. and Janssen, P. and Rowlands, G. J.
 (1998). Linear Mixed Models. An Introduction with applications in Veterinary
 Research. International Livestock Research Institute.

Package: r-cran-vewaning
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 668
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-vewaning_1.4-1.ca2004.1_all.deb
Size: 649264
MD5sum: 0f5bb79f8657a9e267ccbfa2a7f50145
SHA1: cf23c00fc6c106cfa61b723869d9b115b47e31e9
SHA256: 99a0434418b0d0c79bc987d8bd4e22024d1f382c41b86ec4c48dc6ba5fb913d4
SHA512: 5689b48b2cf4f999309146f7dc1749f102f45ebd1cb639b80659b57a334c3836214699048f4f54ebbdca959f8f78792c4906e3b261a3a0a76dc3933d4b31dce2
Homepage: https://cran.r-project.org/package=VEwaning
Description: CRAN Package 'VEwaning' (Vaccine Efficacy Over Time)
 Implements methods for inference on potential waning of vaccine efficacy and
 for estimation of vaccine efficacy at a user-specified time after
 vaccination based on data from a randomized, double-blind,
 placebo-controlled vaccine trial in which participants may be unblinded and
 placebo subjects may be crossed over to the study vaccine.  The methods also
 allow adjustment for possible confounding via inverse probability weighting
 through specification of models for the trial entry process, unblinding
 mechanisms, and the probability an unblinded placebo participant accepts
 study vaccine: Tsiatis, A. A. and Davidian, M. (2022)
 <doi:10.1111/biom.13509>.

Package: r-cran-vfcp
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-copula, r-cran-extradistr, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vfcp_1.4.0-1.ca2004.1_all.deb
Size: 73684
MD5sum: df92b18c7adfcee14776f0ea1eb48d30
SHA1: e55f43f37cdbc4cc76a4092ab9b8ce013ad1f2e8
SHA256: 737a0ffdb1b54914661f508e1220fc0d3834a038e2c4837aca9ce65d79ee1ff1
SHA512: 8ef6cddb5665014195b54592a75d50f854716eb7c13006f5daf494c96659d2b95847b23e1b9ef25df16ecb08107aa611ae2aaee45cb0da7b8ef4f3e785a32db2
Homepage: https://cran.r-project.org/package=vfcp
Description: CRAN Package 'vfcp' (Computation of v Values for U and Copula C(U, v))
 Computation the value of one of two uniformly distributed marginals if the
 copula probability value is known and the value of the second marginal is
 also known.  Computation and plotting corresponding cumulative distribution
 function or survival function.  The numerical definition of a common area
 limited by lines of the cumulative distribution function and survival
 function.  Approximate quantification of the probability of this area.  In
 addition to 'amh', the copula dimension may be larger than 2.

Package: r-cran-vfinputs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 374
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-jsonlite, r-cran-scales
Suggests: r-cran-rcolorbrewer, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vfinputs_0.1.0-1.ca2004.1_all.deb
Size: 141504
MD5sum: 69a675588af39231f5992a7760797940
SHA1: 0d732a6f443859ecdc4c51b17aaba3a2ce2904c4
SHA256: 655102fd770be3b049947cf9afcfb38e6c4d87a1b000c29e32477b910c99c8f6
SHA512: dd58a5e3b2faf1218a1a7c1a7134a5f44772bf493d29e5914b0035a7a405950e545c9fde62a36c20e5c8a416863551b566e9633691b07cd5ee83d36b8ce3b399
Homepage: https://cran.r-project.org/package=vfinputs
Description: CRAN Package 'vfinputs' (Visual Filter Inputs for Shiny)
 A set of visual input controls for Shiny apps to facilitate filtering across
 multiple outputs.

Package: r-cran-vfp
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gnm, r-cran-vca, r-cran-mass
Suggests: r-cran-runit, r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-vfp_1.4.4-1.ca2004.1_all.deb
Size: 567008
MD5sum: 87b9e52631b19bb8f494911146fb8667
SHA1: 9b36d1affbf48b98216c56b1ce2ad0caaa63043d
SHA256: f64d0ad62104515380dd111db7dd47f295ec021eda702d774c36055946a83d51
SHA512: e1b255ee05c8bb18ca2058d154d176230418fffe7aa0ac76c70bc45a777b69f421794d6e54c3b49fd29ff2b56f2d2be4350cb7bf04a1b8980383324c918fd9a5
Homepage: https://cran.r-project.org/package=VFP
Description: CRAN Package 'VFP' (Variance Function Program)
 Variance function estimation for models proposed by W. Sadler in his
 variance function program ('VFP',
 www.aacb.asn.au/AACB/Resources/Variance-Function-Program). Here, the idea is
 to fit multiple variance functions to a data set and consequently assess
 which function reflects the relationship 'Var ~ Mean' best. For 'in-vitro
 diagnostic' ('IVD') assays modeling this relationship is of great importance
 when individual test-results are used for defining follow-up treatment of
 patients.

Package: r-cran-vfprogression
Architecture: all
Version: 0.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vfprogression_0.7.1-1.ca2004.1_all.deb
Size: 85180
MD5sum: 805e5e417e47180575851ee7c4148eff
SHA1: 601cb3c1d60f94694b91f09f7089f1e61bbbf2d2
SHA256: 5f78daa4de6a466c27bbd9cce645c6bc297bf102a54ae21a0fc9e8c0ea14e0ed
SHA512: 52f3e93377c48488ba1ee2b34cc61f25ac262d450628b4128f404c85fb8a8cdbf157ec9ac48a09198155d31242e1ab7730fffe199318988995a6a8f1094943f3
Homepage: https://cran.r-project.org/package=vfprogression
Description: CRAN Package 'vfprogression' (Visual Field (VF) Progression Analysis and Plotting Methods)
 Realization of published methods to analyze visual field (VF) progression.
 Introduction to the plotting methods (designed by author TE) for VF output
 visualization. A sample dataset for two eyes, each with 10 follow-ups is
 included. The VF analysis methods could be found in -- Musch et al. (1999)
 <doi:10.1016/S0161-6420(99)90147-1>, Nouri-Mahdavi et at. (2012)
 <doi:10.1167/iovs.11-9021>, Schell et at. (2014)
 <doi:10.1016/j.ophtha.2014.02.021>, Aptel et al. (2015)
 <doi:10.1111/aos.12788>.

Package: r-cran-vfs
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-nleqslv
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vfs_1.0.2-1.ca2004.1_all.deb
Size: 222688
MD5sum: 7455368bcde0351ace481594f560aadd
SHA1: 86cd888744c98a3a1578b28115f0a65da26f869b
SHA256: 52e6529f8e517d06e3d3772511f88805c423a5b7f6c52e8b3c0813b56a998791
SHA512: 87040250a7bf647e61f9585e75b38139aa5683d49ce2787edb9d8a2f703e1044a1c102ad3e514dd20e3e86efc40a6a71521300a5ceda96d93d0448bf6c6bea59
Homepage: https://cran.r-project.org/package=VFS
Description: CRAN Package 'VFS' (Vegetated Filter Strip and Erosion Model)
 Empirical models for runoff, erosion, and phosphorus loss across a vegetated
 filter strip, given slope, soils, climate, and vegetation (Gall et al.,
 2018) <doi:10.1007/s00477-017-1505-x>.  It also includes functions for
 deriving climate parameters from measured daily weather data, and for
 simulating rainfall. Models implemented include MUSLE (Williams, 1975) and
 APLE (Vadas et al., 2009 <doi:10.2134/jeq2008.0337>).

Package: r-cran-vgamdata
Architecture: all
Version: 1.1-13-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2682
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-vgam
Filename: pool/dists/focal/main/r-cran-vgamdata_1.1-13-1.ca2004.1_all.deb
Size: 2510824
MD5sum: a9a7e86de7372c3b7a201c1f7508afb3
SHA1: ef607f945b1a7b4805c35f9a433b33f41c952154
SHA256: 1e5affaae9c997fbea0a50214c16d446aade9d6f0d4ad39288e78d4aa31b262a
SHA512: 39756971d7760082de92c42c069d7d85b426b08102052a7e9fc72ebbae8a532682ac0797e4eac5808db791f04cbbf5f6f02e3534ad391ce332a4c4f5723aafc1
Homepage: https://cran.r-project.org/package=VGAMdata
Description: CRAN Package 'VGAMdata' (Data Supporting the 'VGAM' Package)
 Mainly data sets to accompany the VGAM package and the book "Vector
 Generalized Linear and Additive Models: With an Implementation in R" (Yee,
 2015) <DOI:10.1007/978-1-4939-2818-7>.  These are used to illustrate vector
 generalized linear and additive models (VGLMs/VGAMs), and associated models
 (Reduced-Rank VGLMs, Quadratic RR-VGLMs, Row-Column Interaction Models, and
 constrained and unconstrained ordination models in ecology). This package
 now contains some old VGAM family functions which have been replaced by
 newer ones (often because they are now special cases).

Package: r-cran-vhcub
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2037
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-biostrings, r-cran-ggplot2, r-cran-seqinr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vhcub_1.0.0-1.ca2004.1_all.deb
Size: 2041504
MD5sum: 9df3aa43d05245621d94b0aa58200352
SHA1: 047eb43b3b87b5e78306505bc70fc8f65cd6f1bd
SHA256: 8b15fd545b8eec53c5dbfbbd7b017b8c6a49655dd12af8e8d5755791ce98b85b
SHA512: ee4d7d6cbe2b2297b7e58b54410d7453d3e974aa2e103cb140d319a8489a842b4d15eb4d5854f0c7352d136df4d1a4b2a10df16d4d072d9e12e84a62fc81e136
Homepage: https://cran.r-project.org/package=vhcub
Description: CRAN Package 'vhcub' (Virus-Host Codon Usage Co-Adaptation Analysis)
 Analyze the co-adaptation of codon usage between a virus and its host,
 calculate various codon usage bias measurements as: effective number of
 codons (ENc) Novembre (2002) <doi:10.1093/oxfordjournals.molbev.a004201>,
 codon adaptation index (CAI) Sharp and Li (1987)
 <doi:10.1093/nar/15.3.1281>, relative codon deoptimization index (RCDI)
 Puigbò et al (2010) <doi:10.1186/1756-0500-3-87>, similarity index (SiD)
 Zhou et al (2013) <doi:10.1371/journal.pone.0077239>, synonymous codon usage
 orderliness (SCUO) Wan et al (2004) <doi:10.1186/1471-2148-4-19> and,
 relative synonymous codon usage (RSCU) Sharp et al (1986)
 <doi:10.1093/nar/14.13.5125>. Also, it provides a statistical dinucleotide
 over- and underrepresentation with three different models. Implement several
 methods for visualization of codon usage as ENc.GC3plot() and PR2.plot().

Package: r-cran-vhdclassification
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 250
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-e1071, r-cran-lattice
Suggests: r-cran-pamr, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-vhdclassification_0.3-1.ca2004.1_all.deb
Size: 191960
MD5sum: 2662ae9af6a53bdc48cb55c6a676aa8d
SHA1: 5f8db64449097484c43f93f23433d6be0513b50c
SHA256: ca3277c088b19748a62839261e7907c1cd564d647372bfb4b5b710edaaff898e
SHA512: f17dfc31489ddb0a743a77081137f7c1715a40706fea4d32540cd0113908ee4dd34176ae90fe53dd06085cbc86e578731e4489e483fdd9ac4349f86487c9b116
Homepage: https://cran.r-project.org/package=VHDClassification
Description: CRAN Package 'VHDClassification' (Discrimination/Classification in very high dimension with linearand quadratic rules)
 This package provides an implementation of Linear discriminant analysis and
 quadratic discriminant analysis that works fine in very high dimension (when
 there are many more variables than observations).

Package: r-cran-vhica
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-ape, r-cran-plotrix, r-cran-seqinr, r-cran-gtools
Filename: pool/dists/focal/main/r-cran-vhica_0.2.8-1.ca2004.1_all.deb
Size: 111648
MD5sum: 1e0102ba55894acbcff25db2de0f5e20
SHA1: 9e3fb01d38bb473bcf51921b14e42f36e7307634
SHA256: dd9dbe3425aff48d10a8b768f606a026bc15abc9d9e350c9ad54577dbf008b7b
SHA512: e5f5f417a0dfdae9967c2093a6ca1a1c14cdb830fb848c3526638f13ea53445e4c9eceffac5738375e95469d0518455c2ca92c61bac1ab18dbb63e3f09b327ae
Homepage: https://cran.r-project.org/package=vhica
Description: CRAN Package 'vhica' (Vertical and Horizontal Inheritance Consistence Analysis)
 The "Vertical and Horizontal Inheritance Consistence Analysis" method is
 described in the following publication: "VHICA: a new method to discriminate
 between vertical and horizontal transposon transfer: application to the
 mariner family within Drosophila" by G. Wallau. et al. (2016)
 <DOI:10.1093/molbev/msv341>. The purpose of the method is to detect
 horizontal transfers of transposable elements, by contrasting the divergence
 of transposable element sequences with that of regular genes.

Package: r-cran-via
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1553
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-tinytest, r-cran-knitr, r-cran-rmarkdown, r-cran-terra, r-cran-sp, r-cran-sf
Filename: pool/dists/focal/main/r-cran-via_0.2.0-1.ca2004.1_all.deb
Size: 1383072
MD5sum: c2dab5ef3e7af0f1adb845186b81a286
SHA1: f170964865b00fcae7b3e11183f169111116a540
SHA256: 28f83109b5d4871123e957b507d9d473fd1ac1079272173f2ed0d95242ca624d
SHA512: 0d2178f73c9d35d60d43658f698c5a02fd0150e56a3053b7c1eca4337be2fa042465e753f65313e60ef2cf7247b51ef15b557089a5f9a917eb80e435303e2d4d
Homepage: https://cran.r-project.org/package=via
Description: CRAN Package 'via' (Virtual Arrays)
 The base class 'VirtualArray' is defined, which acts as a wrapper around
 lists allowing users to fold arbitrary sequential data into n-dimensional,
 R-style virtual arrays. The derived 'XArray' class is defined to be used for
 homogeneous lists that contain a single class of objects. The 'RasterArray'
 and 'SfArray' classes enable the use of stacked spatial data instead of
 lists.

Package: r-cran-viafoundry
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr, r-cran-purrr, r-cran-askpass
Filename: pool/dists/focal/main/r-cran-viafoundry_1.0.0-1.ca2004.1_all.deb
Size: 43948
MD5sum: 2930eefd711bb46c4282f9115e72352e
SHA1: c251962ff0bcf8ef1fc0d77863ade08e307b7789
SHA256: 23dad8511c0c869d00cbaa1e049d3655c1da05561cec5b7ed4237915efa0c2c2
SHA512: 81ee9508201b5418de7c98c80159cba381dc969d518c8f61555eef4a986f330a6b603378d8f55e865b07ffa510a8e02918e42a1290714c5660cf3fd8b3542da7
Homepage: https://cran.r-project.org/package=viafoundry
Description: CRAN Package 'viafoundry' (R Client for 'Via Foundry' API)
 'Via Foundry' API provides streamlined tools for interacting with and
 extracting data from structured responses, particularly for use cases
 involving hierarchical data from Foundry's API. It includes functions to
 fetch and parse process-level and file-level metadata, allowing users to
 efficiently query and manipulate nested data structures. Key features
 include the ability to list all unique process names, retrieve file metadata
 for specific or all processes, and dynamically load or download files based
 on their type. With built-in support for handling various file formats
 (e.g., tabular and non-tabular files) and seamless integration with API
 through authentication, this package is designed to enhance workflows
 involving large-scale data management and analysis. Robust error handling
 and flexible configuration ensure reliable performance across diverse data
 environments. Please consult the documentation for the API endpoint for your
 installation.

Package: r-cran-viafr
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-utf8, r-cran-crul, r-cran-jsonlite, r-cran-assertthat, r-cran-magrittr, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-purrr, r-cran-dplyr, r-cran-rlang
Suggests: r-cran-testthat, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-viafr_0.3.2-1.ca2004.1_all.deb
Size: 1504484
MD5sum: 0635dd816145551b0bec9cbdd418ee13
SHA1: 5a600f4f5b105dc3d4b3d1f9099872a925b7a9e2
SHA256: 2a6fbb647e2140cebfb63d20e61e3e8c966516afa9c72b671345c20a85463c9f
SHA512: 9c085dca6a80546bd7462ada7eb5319f057dc5fcfef4d29022502725760cefbe2dc7200cbe6109870b67c4cab35957f6ca3070bdbbf7ad070af9747623cba87b
Homepage: https://cran.r-project.org/package=viafr
Description: CRAN Package 'viafr' (Interface to the 'VIAF' ('Virtual International Authority File')API)
 Provides direct access to linked names for the same entity across the
 world's major name authority files, including national and regional
 variations in language, character set, and spelling. For more information go
 to <https://viaf.org/>.

Package: r-cran-vicc
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-coda, r-cran-ggplot2, r-cran-nlme, r-cran-rdpack, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-vicc_1.0.0-1.ca2004.1_all.deb
Size: 271524
MD5sum: f1bf3236627998195f8f8ce08ba41c51
SHA1: a4dbd2ad18e35ade750e5b79b2931167561e6dc8
SHA256: f83f3593cfcfba3cff02c1217f296f0fe9ea0ac44346307028668454d25d1b81
SHA512: 790dc4f134cb9f5238ea7eea004db14206f455d4b76805e961901f3cc01422ef4401038643517c2c3b8037c1b544fec45bc1e249802e7c5de20b887c4d5128b8
Homepage: https://cran.r-project.org/package=vICC
Description: CRAN Package 'vICC' (Varying Intraclass Correlation Coefficients)
 Compute group-specific intraclass correlation coefficients, Bayesian testing
 of homogenous within-group variance, and spike-and-slab model selection to
 determine which groups share a common within-group variance in a one-way
 random effects model <10.31234/osf.io/hpq7w>.

Package: r-cran-vici
Architecture: all
Version: 0.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 598
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cowplot, r-cran-dt, r-cran-ggplot2, r-cran-ggpubr, r-cran-nlme, r-cran-shiny, r-cran-tidyr, r-cran-numderiv, r-cran-stringr, r-cran-rcolorbrewer, r-cran-scales, r-cran-shinywidgets
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vici_0.7.3-1.ca2004.1_all.deb
Size: 389676
MD5sum: 1d4fe5f9f9895496f7e10e76d40023ff
SHA1: b365fc8852f3377e1d67512eb45731dc31223377
SHA256: e4534fc708e234219922186af38b9af228c1832b35422c11c2e2ae378995077f
SHA512: e25bd4a41cc64faa5af52c804e7a66aed9fc6871d3dc7be65b1ffa7f87380a43e0c246de32c55bc8603275ce92363352bb58db94c2e7258890d8661f075ca5f9
Homepage: https://cran.r-project.org/package=vici
Description: CRAN Package 'vici' (Vaccine Induced Cellular Immunogenicity with Bivariate Modeling)
 A shiny app for accurate estimation of vaccine induced immunogenicity with
 bivariate linear modeling. Method is detailed in: Lhomme, Hejblum,
 Lacabaratz, Wiedemann, Lelievre, Levy, Thiebaut & Richert (2020). Journal of
 Immunological Methods, 477:112711. <doi:10.1016/j.jim.2019.112711>.

Package: r-cran-vicmapr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 519
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-httr, r-cran-sf, r-cran-dplyr, r-cran-purrr, r-cran-cli, r-cran-dbi, r-cran-xml2, r-cran-glue, r-cran-dbplyr, r-cran-rlang, r-cran-curl, r-cran-rvest, r-cran-lubridate, r-cran-knitr, r-cran-kableextra, r-cran-mapview, r-cran-leaflet, r-cran-stringr
Suggests: r-cran-testthat, r-cran-covr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vicmapr_0.2.3-1.ca2004.1_all.deb
Size: 265004
MD5sum: c405c68d10aa3aa07afd8f66e8e234ad
SHA1: f936327608fc1e3c395e0b49956c4d4d3c955266
SHA256: 885d0548b8da7cb704999b35d3965bdbd5a719eb72827df49008e692270d9614
SHA512: 847c8f7935800bcdf708c05b3d06173d3a9a670a4fef7df00b209c043a6bebd0b49eef9fa1f09d60ad66486844425a2fc3c2ade50ba6885227b8b91f8a536f95
Homepage: https://cran.r-project.org/package=VicmapR
Description: CRAN Package 'VicmapR' (Access Victorian Spatial Data Through Web File Services (WFS))
 Easily interfaces R to spatial datasets available through the Victorian
 Government's WFS (Web Feature Service):
 <https://opendata.maps.vic.gov.au/geoserver/ows?request=GetCapabilities&service=wfs>,
 which allows users to read in 'sf' data from these sources. VicmapR uses the
 lazy querying approach and code developed by Teucher et al. (2021) for the
 'bcdata' R package <doi:10.21105/joss.02927>.

Package: r-cran-vicus
Architecture: all
Version: 0.99.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rann, r-cran-matrix, r-cran-rspectra
Suggests: r-cran-scatterplot3d, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vicus_0.99.0-1.ca2004.1_all.deb
Size: 120412
MD5sum: 05f2dd943a4b6180477010dc4fad8408
SHA1: 9cd5deaf1012163c984514004f0c4d10c94eb2e6
SHA256: 8a4100c09115021834f5ff7307fd797fef229b2ccac9f9bd4a5ac65c151e0fa3
SHA512: ec4d5a54b4220b44d7451103e59b94778b6ae9bc4575a39e9592f9acfe4bf6f65188fa762546dc1af9f015228972226f83422d7bcc83d75131f0855991c0c584
Homepage: https://cran.r-project.org/package=Vicus
Description: CRAN Package 'Vicus' (Exploiting Local Structures to Improve Network-Based Analysis ofBiological Data)
 Compared with the similar graph embedding method such as Laplacian
 Eigenmaps, 'Vicus' can exploit more local structures of graph data. For the
 details of the methods, see the reference section of 'GitHub' README.md
 <https://github.com/rikenbit/Vicus>.

Package: r-cran-video
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3880
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-htmlwidgets, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-shinytest2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-video_0.1.1-1.ca2004.1_all.deb
Size: 2233640
MD5sum: 053c05003efbc9f9be488ccca06cdcad
SHA1: 1ac3c8e1c2f385d7a276fe228dc631649d24b5e1
SHA256: 9a0b6e1aefe1595a4514943fbde93c48470fc591259900d90569305091c01b35
SHA512: a67a71b1f3d10a744e8c58f4aea48d84a9967d1a171d1be1cde84d36c3ed35f2d43bb673b0592f5b4eac79f21c56480d7635449778d6bd5faec663a628d68660
Homepage: https://cran.r-project.org/package=video
Description: CRAN Package 'video' ('Shiny' Extension of 'video.js')
 Video interactivity within 'shiny' applications using 'video.js'. Enables
 the status of the video to be sent from the UI to the server, and allows
 events such as playing and pausing the video to be triggered from the
 server.

Package: r-cran-vietnamcode
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vietnamcode_0.1.1-1.ca2004.1_all.deb
Size: 16292
MD5sum: 1ffbb8f2122920b8b50f5b804dc26348
SHA1: 1a3f018d5ab334a15c8f69157ae14402fed64bae
SHA256: 63cf9ea8ab98ead55b39771cb4b68f657887e43c46ce3f7d289c63abeefca835
SHA512: c6c7b34652ed93910bee3c0e6e94af12707785cbb47eb180a26b3fb572c2297f8f2daedee18cb6b3e0ee022631011f3e8d2559dfcb92032e6580e120deeab643
Homepage: https://cran.r-project.org/package=vietnamcode
Description: CRAN Package 'vietnamcode' (Convert Vietnam Provincial Codes)
 Converts Vietnam's provinces' names and ID across different formats. Handles
 diacritics and different spellings.

Package: r-cran-vietnameseconverter
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 316
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gsubfn, r-cran-sf, r-cran-utf8
Suggests: r-cran-testthat, r-cran-r.rsp, r-cran-dt
Filename: pool/dists/focal/main/r-cran-vietnameseconverter_0.4.0-1.ca2004.1_all.deb
Size: 152840
MD5sum: 9ffa2ffbbe01152c29ba5b6ac618a1bc
SHA1: 966d7eeb3d96c0954e41d703fe2e63c518e93f36
SHA256: 99f5645f5f15cecb59d4d34e26abf8833caaf2cb85e9043fea0ab9ce1d02abbd
SHA512: 2d3dab8ca7d3218e270868ccb6ad8b353eba79015a3181672ab6cbabce01d856bc50a09887979cfef12fb9c4d508ad9d8290228654a6790f064e984d49017015
Homepage: https://cran.r-project.org/package=vietnameseConverter
Description: CRAN Package 'vietnameseConverter' (Convert Vietnamese Encodings)
 Conversion of characters from unsupported Vietnamese character encodings to
 Unicode characters. These Vietnamese encodings (TCVN3, VISCII, VPS) are not
 natively supported in R and lead to printing of wrong characters and garbled
 text (mojibake). This package fixes that problem and provides readable
 output with the correct Unicode characters (with or without diacritics).

Package: r-cran-viewpipesteps
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1757
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rstudioapi, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-viewpipesteps_0.1.0-1.ca2004.1_all.deb
Size: 1550436
MD5sum: 3aee374d5e20940fea7761415a6955d4
SHA1: d37585376864e1e4f5c2e755fe82401cf7a02855
SHA256: 8774e7fe39c3a964ba0b2589242a3528db79d5ddff2a8548a07dabe7905bf774
SHA512: 4be596a90758e6034486477dc1289aabbadba4fa4be7325f67046a32febb051709a924e5e71b00fb8c0a69e28a68146940dc71abcb5819780873d1e39e6f2eec
Homepage: https://cran.r-project.org/package=ViewPipeSteps
Description: CRAN Package 'ViewPipeSteps' (Create View Tabs of Pipe Chains)
 Debugging pipe chains often consists of viewing the output after each step.
 This package adds RStudio addins and two functions that allow outputing each
 or select steps in a convenient way.

Package: r-cran-viewpoly
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3965
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinyjs, r-cran-shinythemes, r-cran-shinywidgets, r-cran-shinydashboard, r-cran-config, r-cran-golem, r-cran-jbrowser, r-cran-dplyr, r-cran-tidyr, r-cran-dt, r-cran-ggplot2, r-cran-ggpubr, r-cran-plotly, r-cran-vroom, r-cran-abind, r-cran-reshape2, r-cran-markdown, r-cran-hidecan, r-cran-purrr
Suggests: r-cran-testthat, r-cran-shinytest, r-cran-rlang, r-cran-pkgload, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-viewpoly_0.4.1-1.ca2004.1_all.deb
Size: 3932132
MD5sum: 052177a176411cc7fb22ce40f671f1bc
SHA1: c178568ca18dc49b17c2b96360a93c5f984ca06a
SHA256: 397b80e08d58e62b121efd1eb1e2b670c4608d6c3c6ddcdaabf21487c08b2215
SHA512: bcb221480e65a47bb5329f1720655c7a08ce30bb2a1270bc36cf0b5f4a70f5acae68c5e2557dd60c9d936b4ed58229a3477ff6f0cb5dd401ffac907148fc4117
Homepage: https://cran.r-project.org/package=viewpoly
Description: CRAN Package 'viewpoly' (A Shiny App to Visualize Genetic Maps and QTL Analysis inPolyploid Species)
 Provides a graphical user interface to integrate, visualize and explore
 results from linkage and quantitative trait loci analysis, together with
 genomic information for autopolyploid species. The app is meant for
 interactive use and allows users to optionally upload different sources of
 information, including gene annotation and alignment files, enabling the
 exploitation and search for candidate genes in a genome browser. In its
 current version, 'VIEWpoly' supports inputs from 'MAPpoly', 'polymapR',
 'diaQTL', 'QTLpoly', 'polyqtlR', 'GWASpoly', and 'HIDECAN' packages.

Package: r-cran-vif
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2339
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vif_1.0-1.ca2004.1_all.deb
Size: 2362368
MD5sum: 5c64614360bd99a3ddaaf16c3bd3fbc0
SHA1: b7c5560f02b37e9ed75e3bc4669a92909d40203c
SHA256: 17e3862053f1bc12e4b27a088f0be7c0b5020b8f0341f68c05f1a88e2edda32e
SHA512: f1b0bbd614007f81f85fd4e59437d434da93e7b0b974e9bee0f02134e8498d6c12687959407aa14d036adb39687833e395a3f0488d125146a2d9168753e567ab
Homepage: https://cran.r-project.org/package=VIF
Description: CRAN Package 'VIF' (VIF Regression: A Fast Regression Algorithm For Large Data)
 This package implements a fast regression algorithm for building linear
 model for large data as defined in the paper "VIF-Regression: A Fast
 Regression Algorithm for Large Data (2011), Journal of the American
 Statistical Association, Vol.  106, No. 493: 232-247" by Dongyu Lin, Dean P.
 Foster, and Lyle H. Ungar.

Package: r-cran-vigicaen
Architecture: all
Version: 0.15.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1500
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-arrow, r-cran-cli, r-cran-dplyr, r-cran-data.table, r-cran-fst, r-cran-ggplot2, r-cran-glue, r-cran-gridextra, r-cran-lifecycle, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-here, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tzdb, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-vigicaen_0.15.6-1.ca2004.1_all.deb
Size: 1007904
MD5sum: ad10291f4efdcb68158f5c3408e50b3f
SHA1: 513bc554d9c3ebaacc4ea7b3538bfbf560ea64fb
SHA256: 1b104e825678c7ecd62b960d963098bf63dd12d37750436b18d8fd3eef0cea56
SHA512: 35d7a128bdbf6c50d8ade93d53861ced511ac2df6b1a5d25bc91fe618a419985b2502479285331c63fc2f2d438db8eb0edce2a1b76eaf47bd906a3d110ba6f80
Homepage: https://cran.r-project.org/package=vigicaen
Description: CRAN Package 'vigicaen' ('VigiBase' Pharmacovigilance Database Toolbox)
 Perform the analysis of the World Health Organization (WHO)
 Pharmacovigilance database 'VigiBase' (Extract Case Level version),
 <https://who-umc.org/> e.g., load data, perform data management,
 disproportionality analysis, and descriptive statistics. Intended for
 pharmacovigilance routine use or studies.  This package is NOT supported nor
 reflect the opinion of the WHO, or the Uppsala Monitoring Centre.
 Disproportionality methods are described by Norén et al (2013)
 <doi:10.1177/0962280211403604>.

Package: r-cran-viking
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-rcolorbrewer, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-viking_1.0.2-1.ca2004.1_all.deb
Size: 82320
MD5sum: 677913cde22f09530895b1cd220dd45d
SHA1: 979879e6e83666a7314f8c5fb5d3a185d8a36e4a
SHA256: 826d7bdbade45c28fab8a25d6fdca38416999f54f9df97296342a179196671be
SHA512: 748b7d2328c73c02ec887357bff4494d47d61f86c8b8b377516ea9342e23c9d5f1449947ffe15d190946225e6949a26a6092deca6251c1263a3b3d33063e7c8b
Homepage: https://cran.r-project.org/package=viking
Description: CRAN Package 'viking' (State-Space Models Inference by Kalman or Viking)
 Inference methods for state-space models, relying on the Kalman Filter or on
 Viking (Variational Bayesian VarIance tracKING). See J. de Vilmarest (2022)
 <https://theses.hal.science/tel-03716104/>.

Package: r-cran-villager
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readr, r-cran-r6, r-cran-uuid
Suggests: r-cran-covr, r-cran-dplyr, r-cran-knitr, r-cran-leaflet, r-cran-plotly, r-cran-remotes, r-cran-rmarkdown, r-cran-testthat, r-cran-roxygen2, r-cran-pandoc
Filename: pool/dists/focal/main/r-cran-villager_2.0.0-1.ca2004.1_all.deb
Size: 1378868
MD5sum: 9aeb1089546cd464516bdc8a82f6ad15
SHA1: 17c9f434c93c025d9b15218728e48c0b8a0d3bab
SHA256: 813278e004700484aac2a96970bfff7cdeef9c3667596731faba88e283bb1588
SHA512: 67106d9c6832a599b050eeaa2fd10ae7dd33255240651e8827d2d427ff1432be4d73c43f96936308eefd101485772c2d113123db9c914debd515f7df040a9f3a
Homepage: https://cran.r-project.org/package=villager
Description: CRAN Package 'villager' (A Framework for Designing and Running Agent Based Models)
 This is a package for creating and running Agent Based Models (ABM). It
 provides a set of base classes with core functionality to allow bootstrapped
 models. For more intensive modeling, the supplied classes can be extended to
 fit researcher needs.

Package: r-cran-vimean
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 41
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vimean_0.1.0-1.ca2004.1_all.deb
Size: 10344
MD5sum: 0ab385f2a3c84c8eff832b034854b259
SHA1: 440df24fbbf39b30305c7124c2c3cf335cc3d903
SHA256: e695f5ca98fa114c987347af2289b147e6cfe3e8b0f24f149e5c6d146167937a
SHA512: 26b1030432bd1b8a88dbae8e9ee559aeb65bb768230e891f32965103677e81d4427677cd720a4ae7c0897a1a6f649b4f58ec4f7b2b8f8e6467db3a63daa25081
Homepage: https://cran.r-project.org/package=VIMean
Description: CRAN Package 'VIMean' (Variability Independent of Mean)
 To computed the variability independent of mean (VIM) or variation
 independent of mean (VIM). The methodology can be found at Peter M Rothwell
 et al. (2010) <doi:10.1016/S1474-4422(10)70067-3>.

Package: r-cran-vimp
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 847
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-superlearner, r-cran-dplyr, r-cran-magrittr, r-cran-rocr, r-cran-tibble, r-cran-rlang, r-cran-mass, r-cran-boot, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gam, r-cran-xgboost, r-cran-glmnet, r-cran-ranger, r-cran-polspline, r-cran-quadprog, r-cran-covr, r-cran-testthat, r-cran-ggplot2, r-cran-cowplot, r-cran-cvauc, r-cran-tidyselect, r-cran-weightedroc, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-vimp_2.3.3-1.ca2004.1_all.deb
Size: 542580
MD5sum: 46cf20338afa67b0e8135ad7db3e553a
SHA1: e0d506304b8071f03373dfebd9235baacce5e05e
SHA256: 26fc5156274190e713e37ef24454263f418573b9ca0e744c8010461aebb733ca
SHA512: 769bd771ad250233978dee3c154b6b87be7b5466733c949afb02f083c373b48046c7376abd28d0abe0cb5d8083ac63995b3f860207b3fe392167aa095357fde9
Homepage: https://cran.r-project.org/package=vimp
Description: CRAN Package 'vimp' (Perform Inference on Algorithm-Agnostic Variable Importance)
 Calculate point estimates of and valid confidence intervals for
 nonparametric, algorithm-agnostic variable importance measures in high and
 low dimensions, using flexible estimators of the underlying regression
 functions. For more information about the methods, please see Williamson et
 al. (Biometrics, 2020), Williamson et al. (JASA, 2021), and Williamson and
 Feng (ICML, 2020).

Package: r-cran-vimpclust
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1926
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pcamixdata, r-cran-ggplot2, r-cran-polychrome, r-cran-mclust, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vimpclust_0.1.0-1.ca2004.1_all.deb
Size: 1488276
MD5sum: de404bd89e471468efb64cee53dc071e
SHA1: 25c25fbb3de5213d3f80369d83b2e11ba327daf6
SHA256: 341fc6ca88f3b6ace3d06140a2baaeb3724c9349bcc8cffcde7747874775ce81
SHA512: 271b1b0881300b6b0c932147066f2e1f86d901029eccc01955803b655e4f21080d610ae6dd23d47373c66554c3963ec4b923459937ea86b4b6d56700ce6a7528
Homepage: https://cran.r-project.org/package=vimpclust
Description: CRAN Package 'vimpclust' (Variable Importance in Clustering)
 An implementation of methods related to sparse clustering and variable
 importance in clustering. The package currently allows to perform sparse
 k-means clustering with a group penalty, so that it automatically selects
 groups of numerical features. It also allows to perform sparse clustering
 and variable selection on mixed data (categorical and numerical features),
 by preprocessing each categorical feature as a group of numerical features.
 Several methods for visualizing and exploring the results are also provided.
 M. Chavent, J. Lacaille, A. Mourer and M. Olteanu
 (2020)<https://www.esann.org/sites/default/files/proceedings/2020/ES2020-103.pdf>.

Package: r-cran-vimps
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-ggplot2, r-cran-ranger, r-cran-knockoff, r-cran-rocr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vimps_1.0-1.ca2004.1_all.deb
Size: 37248
MD5sum: 8287469b86cd12221bbf8a17758f5450
SHA1: 7b2b988ff9d8aa0a8561b9a4e24add5467a36e7e
SHA256: e92c51f2e81ea87c8cb06434902a4fa80bccdd88509256418bf827695a577ac9
SHA512: a3218b5581bce4e0ada7a8116520d203d003b5fcdb8f13251aa2eaa280671630980039facdc0b0c249bdbbb83b8ccd76a1d3674b9e3f78fc1e6e85307bc1d062
Homepage: https://cran.r-project.org/package=VIMPS
Description: CRAN Package 'VIMPS' (Calculate Variable Importance with Knock Off Variables)
 The variable importance is calculated using knock off variables. Then output
 can be provided in numerical and graphical form. Meredith L Wallace (2023)
 <doi:10.1186/s12874-023-01965-x>.

Package: r-cran-vindecodr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr
Suggests: r-cran-purrr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-vindecodr_0.1.1-1.ca2004.1_all.deb
Size: 145484
MD5sum: ea663d2ba189b9b47bd86b613588a1dd
SHA1: e2fa35cebef0b47665ecc629a08b02a78ee3c00a
SHA256: f2f71883319ecd8005f9885d0a4b724d2f973fbe7f17ccc2c8612d8b80a80898
SHA512: 35ab87ecc674be23f7631e7455bf2f9bfb7199528061692be7d3b61c137060c0b8afa2db950f4c7f1f7816984be25913a1ec1d40b11a66e7034600e3a38ca4e7
Homepage: https://cran.r-project.org/package=vindecodr
Description: CRAN Package 'vindecodr' (Provides an Interface to the Department of Transportation VINDecoder)
 Provides a programmatic interface in R for the US Department of
 Transportation (DOT) National Highway Transportation Safety Administration
 (NHTSA) vehicle identification number (VIN) API, located at
 <https://vpic.nhtsa.dot.gov/api/>.  The API can decode up to 50 vehicle
 identification numbers in one call, and provides manufacturer information
 about the vehicles, including make, model, model year, and gross vehicle
 weight rating (GVWR).

Package: r-cran-violinplotter
Architecture: all
Version: 3.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-violinplotter_3.0.1-1.ca2004.1_all.deb
Size: 66884
MD5sum: 7fc7d5d6260688580cebe09f509b01f8
SHA1: 7a88937e094c29cd2cdc0f47795493c6116a2b24
SHA256: c1f97c72e19c5b5324ba20404b525c953ec0e8b8542e78938819042142a41900
SHA512: 2e3f0120cedc306ddced2cf1f9b53bcdfd58885d39ee66b0bb098aca5d24114889005c98e56ff8d33f3dfab664044a056cb955c344b66758573d567ef223788d
Homepage: https://cran.r-project.org/package=violinplotter
Description: CRAN Package 'violinplotter' (Plotting and Comparing Means with Violin Plots)
 Produces violin plots with optional nonparametric (Mann-Whitney test) and
 parametric (Tukey's honest significant difference) mean comparison and
 linear regression. This package aims to be a simple and quick visualization
 tool for comparing means and assessing trends of categorical factors.

Package: r-cran-vioplot
Architecture: all
Version: 0.5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 968
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sm, r-cran-zoo
Suggests: r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vioplot_0.5.1-1.ca2004.1_all.deb
Size: 345144
MD5sum: 8f6d99bcfd62e3f0a77e770c2898f95d
SHA1: b4d23e5df5db5d25ce5209a4a93273e7da68b239
SHA256: 695aeec000b879bb614841615f876456dd63f8ad9a9ee5687bf0a82b47c8fa79
SHA512: 092fd2430d02cfcdcf1315f0c428f9962ec0187742522cc53fa99fcbf83f764ed2091278683f5dda57b7ad25d7859a1ea996780950be7f909dc48910a3da5ada
Homepage: https://cran.r-project.org/package=vioplot
Description: CRAN Package 'vioplot' (Violin Plot)
 A violin plot is a combination of a box plot and a kernel density plot. This
 package allows extensive customisation of violin plots.

Package: r-cran-vip
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3279
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-foreach, r-cran-ggplot2, r-cran-tibble, r-cran-yardstick
Suggests: r-cran-bookdown, r-cran-dt, r-cran-covr, r-cran-doparallel, r-cran-dplyr, r-cran-fastshap, r-cran-knitr, r-cran-lattice, r-cran-mlbench, r-cran-modeldata, r-cran-neuralnettools, r-cran-pdp, r-cran-rmarkdown, r-cran-tinytest, r-cran-varimp
Filename: pool/dists/focal/main/r-cran-vip_0.4.1-1.ca2004.1_all.deb
Size: 2429416
MD5sum: 8248c229932012b21cb49b1a795737bd
SHA1: 098682f05c799a0c2e8b5e7f5b46c6faf58171e9
SHA256: 8117e7627a45c1e9070984d0de80950b05693733803e4b059bd7649333fa5b28
SHA512: 70164c7a3012c8445a458d14029442449a4c5fd080f46c802f7787532cd349d10d66720ba52cb565468a22a78b3eda28f51038f7a8da3524a5c368dcaa165f70
Homepage: https://cran.r-project.org/package=vip
Description: CRAN Package 'vip' (Variable Importance Plots)
 A general framework for constructing variable importance plots from various
 types of machine learning models in R. Aside from some standard model-
 specific variable importance measures, this package also provides model-
 agnostic approaches that can be applied to any supervised learning
 algorithm.  These include 1) an efficient permutation-based variable
 importance measure, 2) variable importance based on Shapley values
 (Strumbelj and Kononenko, 2014) <doi:10.1007/s10115-013-0679-x>, and 3) the
 variance-based approach described in Greenwell et al. (2018)
 <arXiv:1805.04755>. A variance-based method for quantifying the relative
 strength of interaction effects is also included (see the previous reference
 for details).

Package: r-cran-vipor
Architecture: all
Version: 0.4.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4686
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-beeswarm, r-cran-lattice, r-cran-ggplot2, r-cran-beanplot, r-cran-vioplot, r-cran-ggbeeswarm
Filename: pool/dists/focal/main/r-cran-vipor_0.4.7-1.ca2004.1_all.deb
Size: 4505468
MD5sum: 08833b282fb0557a87da951e78cd1b95
SHA1: 7bb17c00106a42d2f8bed8503a3c32188d9e3d08
SHA256: a836f097d504e9f08dd84ee15a0f1072322bb50c7d74aa0c0376f7c6e28ff156
SHA512: 17852138bec5e66c763b3a668444b22fddb1d1ef6356feb0f2144b9e02b61478947ad03515263a29d1ab2e1ba9efbba29ef9ced6dcba55f2cbccc015f8f07520
Homepage: https://cran.r-project.org/package=vipor
Description: CRAN Package 'vipor' (Plot Categorical Data Using Quasirandom Noise and DensityEstimates)
 Generate a violin point plot, a combination of a violin/histogram plot and a
 scatter plot by offsetting points within a category based on their density
 using quasirandom noise.

Package: r-cran-viprodesign
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 94
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-bioc-biostrings, r-bioc-decipher, r-cran-cluster, r-cran-pathviewr, r-cran-dbscan, r-cran-ape
Suggests: r-cran-optparse
Filename: pool/dists/focal/main/r-cran-viprodesign_0.1.0-1.ca2004.1_all.deb
Size: 40664
MD5sum: 1fee942dd92c5ea42f55999ff2fcaee4
SHA1: 21589e1130d2093e5a01949a6a3901dd8320dce1
SHA256: 86c1c0b486e8942c4be9645a8dba4fda48a9d40767b67d1b55201a4bef2c3b0c
SHA512: e590e2916b107dc1834eb5b7af3331b201f5ace80bb108fc0aedacf34be076e917db991f871b54eaa3a55c1a8ed5ca65fb92ed2ff8748213bd50fc7567429ebf
Homepage: https://cran.r-project.org/package=VIProDesign
Description: CRAN Package 'VIProDesign' (A Comprehensive Tool for Protein Design)
 Provides tools for designing virus protein panels through sequence
 clustering and protein sequence analysis. The package includes functionality
 for filtering sequences, removing redundancy, identifying outliers,
 clustering sequences, and calculating entropy to evaluate clustering
 quality. A publication describing these methods is in preparation and will
 be added once available.

Package: r-cran-viraldomain
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-applicable, r-cran-dplyr, r-cran-earth, r-cran-kknn, r-cran-magrittr, r-cran-parsnip, r-cran-ranger, r-cran-recipes, r-cran-tidyselect, r-cran-workflows
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-viraldomain_0.0.7-1.ca2004.1_all.deb
Size: 31140
MD5sum: 951ab3e5fba50600ddf852cee311e54a
SHA1: 8cf94ddf2f9a59f4dd49df83d751080d79453646
SHA256: dfc15de4b214a56271a1a6a39d547542e80124cbce3644713feb02e4e7b2f4a4
SHA512: 5964a370e79c6ae617299d63d5918acce950cfa04d5d1012a30112d1898f5607ceabfde336331e6f136811b70b72fb28b8249a30674abc6a0b9794e6cb58d022
Homepage: https://cran.r-project.org/package=viraldomain
Description: CRAN Package 'viraldomain' (Applicability Domain Methods of Viral Load and CD4 Lymphocytes)
 Provides methods for assessing the applicability domain of models that
 predict viral load and CD4 (Cluster of Differentiation 4) lymphocyte counts.
 These methods help determine the extent of extrapolation when making
 predictions.

Package: r-cran-viralmodels
Architecture: all
Version: 1.3.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-baguette, r-cran-cubist, r-cran-dials, r-cran-dplyr, r-cran-glmnet, r-cran-hardhat, r-cran-kernlab, r-cran-kknn, r-cran-magrittr, r-cran-parsnip, r-cran-purrr, r-cran-ranger, r-cran-recipes, r-cran-rsample, r-cran-rules, r-cran-tidyselect, r-cran-tune, r-cran-viraldomain, r-cran-workflows, r-cran-workflowsets
Suggests: r-cran-earth, r-cran-nnet, r-cran-rpart, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-viralmodels_1.3.4-1.ca2004.1_all.deb
Size: 29512
MD5sum: 4c720f1db210d60bb141ac93fc5b1088
SHA1: 2bf57afcfb2da4838f0838e24449e9325477de3f
SHA256: 087a927f7f16038f69a5d1704ffb73e62c84273af21ac49e7a522cba137a80dc
SHA512: d439808ae69a811ce81f2f0f3501ceb0328dd66f249ff5add48dc3461180d729fcdea97eec1cec6b73b9da5dd54fd201ff1f0b5b82c402cf4f5331343b6a055b
Homepage: https://cran.r-project.org/package=viralmodels
Description: CRAN Package 'viralmodels' (Viral Load and CD4 Lymphocytes Regression Models)
 Provides a comprehensive framework for building, evaluating, and visualizing
 regression models for analyzing viral load and CD4 (Cluster of
 Differentiation 4) lymphocytes data. It leverages the principles of the
 tidymodels ecosystem of Max Kuhn and Hadley Wickham (2020)
 <https://www.tidymodels.org> to offer a user-friendly experience in model
 development. This package includes functions for data preprocessing, feature
 engineering, model training, tuning, and evaluation, along with
 visualization tools to enhance the interpretation of model results. It is
 specifically designed for researchers in biostatistics, computational
 biology, and HIV research who aim to perform reproducible and rigorous
 analyses to gain insights into disease dynamics. The main focus is on
 improving the understanding of the relationships between viral load, CD4
 lymphocytes, and other relevant covariates to contribute to HIV research and
 the visibility of vulnerable seropositive populations.

Package: r-cran-viralx
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dalex, r-cran-dalextra, r-cran-dplyr, r-cran-earth, r-cran-formula, r-cran-kknn, r-cran-parsnip, r-cran-plotmo, r-cran-plotrix, r-cran-recipes, r-cran-rsample, r-cran-teachingdemos, r-cran-vdiffr, r-cran-workflows
Suggests: r-cran-cubist, r-cran-rules, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-viralx_1.3.0-1.ca2004.1_all.deb
Size: 71820
MD5sum: 50a320084474c9269cd54918dace8454
SHA1: d0bf90a97b4e7eca5cc2a5c47bca0f620a9d12c3
SHA256: f6499e22301b7dc68307fd80d830abfd660760dfad91e6ce96e00a903e863841
SHA512: 0345436c7e5f4893d6501f495dfe5241f31a8edcf37fa2aee088380254504b7932e4b4aae752042b1a1e18c9932f323a521589f0a30c8ec2fa0224e226ff1da8
Homepage: https://cran.r-project.org/package=viralx
Description: CRAN Package 'viralx' (Explainers for Regression Models in HIV Research)
 A dedicated viral-explainer model tool designed to empower researchers in
 the field of HIV research, particularly in viral load and CD4 (Cluster of
 Differentiation 4) lymphocytes regression modeling. Drawing inspiration from
 the 'tidymodels' framework for rigorous model building of Max Kuhn and
 Hadley Wickham (2020) <https://www.tidymodels.org>, and the 'DALEXtra' tool
 for explainability by Przemyslaw Biecek (2020) <arXiv:2009.13248>. It aims
 to facilitate interpretable and reproducible research in biostatistics and
 computational biology for the benefit of understanding HIV dynamics.

Package: r-cran-virf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rmgarch, r-cran-mgarchbekk, r-cran-gnm, r-cran-expm, r-cran-bigvar, r-cran-ks, r-cran-matrixcalc, r-cran-matlib
Filename: pool/dists/focal/main/r-cran-virf_0.1.0-1.ca2004.1_all.deb
Size: 19408
MD5sum: fc1bcf9f3b99d17735ba65fa66d7355e
SHA1: f9bc9cd3ef73f4f6c7fe7b50f27b3b9cb4c3ab22
SHA256: c48d01084c207f47a90429474d5230ae83a335addfd572822a8ecd95bcee1654
SHA512: ab577c66bc0c0a832d486270d58312873cef9146624ef5b837e3aa215f5310e2597ec6bd9e62b2b75aeb0e8571c67276d7cc83b55f195580db97e0319cd446b3
Homepage: https://cran.r-project.org/package=VIRF
Description: CRAN Package 'VIRF' (Computation of Volatility Impulse Response Function ofMultivariate Time Series)
 Computation of volatility impulse response function for multivariate time
 series model using algorithm by Jin, Lin and Tamvakis (2012)
 <doi.org/10.1016/j.eneco.2012.03.003>.

Package: r-cran-viridis
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3836
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-viridislite, r-cran-ggplot2, r-cran-gridextra
Suggests: r-cran-hexbin, r-cran-scales, r-cran-mass, r-cran-knitr, r-cran-dichromat, r-cran-colorspace, r-cran-httr, r-cran-mapproj, r-cran-vdiffr, r-cran-svglite, r-cran-testthat, r-cran-covr, r-cran-rmarkdown, r-cran-maps, r-cran-terra
Filename: pool/dists/focal/main/r-cran-viridis_0.6.5-1.ca2004.1_all.deb
Size: 2990172
MD5sum: a25cce44e14026580cc1489fdbee0df6
SHA1: 9aa6ecdcc51704145bbe6dc36d7ffe556f78e3bb
SHA256: ef46e21214a3b8d7d0f65b8f08aa65c7f28abbf504df4e026fd002fcce4ed943
SHA512: 61cf3cb7d5f68e2df5add95eebf48621645532e7810e76b54258efe92a2af361ed7e131c45cf4832a0ec3932b580caf86834001d68dfab7eefacb9c1258e2d78
Homepage: https://cran.r-project.org/package=viridis
Description: CRAN Package 'viridis' (Colorblind-Friendly Color Maps for R)
 Color maps designed to improve graph readability for readers with common
 forms of color blindness and/or color vision deficiency. The color maps are
 also perceptually-uniform, both in regular form and also when converted to
 black-and-white for printing. This package also contains 'ggplot2' bindings
 for discrete and continuous color and fill scales. A lean version of the
 package called 'viridisLite' that does not include the 'ggplot2' bindings
 can be found at <https://cran.r-project.org/package=viridisLite>.

Package: r-cran-viridislite
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1351
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-hexbin, r-cran-ggplot2, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-viridislite_0.4.2-1.ca2004.1_all.deb
Size: 1297360
MD5sum: a7633108be13147540887655bdba699c
SHA1: 4b273e9bc2950854e07863ab310c3a8710b552d9
SHA256: d3367f2869a5987e6b2d6aaa6fde50a4e3d263f8f603e6443723fdca0b2dbfbc
SHA512: 018142556f7d0aefff4268b436bcb824dcfb504822084471261c8ef0fe61821e3f7b190c13ebe12a6b91959e33a02de73d6ae8da4cf2e7a8315cf3a18e2eab22
Homepage: https://cran.r-project.org/package=viridisLite
Description: CRAN Package 'viridisLite' (Colorblind-Friendly Color Maps (Lite Version))
 Color maps designed to improve graph readability for readers with common
 forms of color blindness and/or color vision deficiency. The color maps are
 also perceptually-uniform, both in regular form and also when converted to
 black-and-white for printing. This is the 'lite' version of the 'viridis'
 package that also contains 'ggplot2' bindings for discrete and continuous
 color and fill scales and can be found at
 <https://cran.r-project.org/package=viridis>.

Package: r-cran-virtualpollen
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3441
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-cowplot, r-cran-viridis, r-cran-mgcv, r-cran-plyr, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-formatr, r-cran-kableextra, r-cran-magrittr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-virtualpollen_1.0.1-1.ca2004.1_all.deb
Size: 2843924
MD5sum: c34f34dda5386bdedfcd910800bbf764
SHA1: e89224c8913df357b3b69e55ff96ed6fe1155ab3
SHA256: c49c4c5858cbb720201a2e612077363281a0b26b6667c1ece7024ddc2a883dd9
SHA512: 9430f653dfc599cb98d960af401adaac071b932286db6afb93b231bd612daa9c630266dc1b5059065416a0b874dd8c9b30ef6f29129141d2c80e63d083a31c84
Homepage: https://cran.r-project.org/package=virtualPollen
Description: CRAN Package 'virtualPollen' (Simulating Pollen Curves from Virtual Taxa with Different Lifeand Niche Traits)
 Tools to generate virtual environmental drivers with a given temporal
 autocorrelation, and to simulate pollen curves at annual resolution over
 millennial time-scales based on these drivers and virtual taxa with
 different life traits and niche features. It also provides the means to
 simulate quasi-realistic pollen-data conditions by applying simulated
 accumulation rates and given depth intervals between consecutive samples.

Package: r-cran-virtualpop
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-msm, r-cran-hmdhfdplus
Suggests: r-cran-knitr, r-cran-kableextra, r-cran-ggplot2, r-cran-foreign, r-cran-lubridate, r-cran-xml2, r-cran-eha, r-cran-survival, r-cran-survminer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-virtualpop_2.1.0-1.ca2004.1_all.deb
Size: 685252
MD5sum: cbd65b18497f12e7ff1a5cd0e9132e86
SHA1: bd658061156be71996d412932802826688178323
SHA256: f373bd73909a356f42882f0d62d07c0efa7773e6ae42958ee116d8ebcd803d08
SHA512: 82f1f043b7a8999062012accade0dfc4b9a2abf7002b4b12d01932845f3a50d61cc0f8123fad0d4e6442e90a07e2c853f91d095f98af465ddb848180eafde7e2
Homepage: https://cran.r-project.org/package=VirtualPop
Description: CRAN Package 'VirtualPop' (Simulation of Populations by Sampling Waiting-Time Distributions)
 Constructs a virtual population from fertility and mortality rates for any
 country, calendar year and birth cohort in the Human Mortality Database
 <https://www.mortality.org> and the Human Fertility Database
 <https://www.humanfertility.org>.  Fertility histories are simulated for
 every individual and their offspring, producing a multi-generation virtual
 population.

Package: r-cran-virtualspecies
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 273
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-terra, r-cran-ade4, r-cran-rnaturalearth, r-cran-raster, r-cran-viridis
Filename: pool/dists/focal/main/r-cran-virtualspecies_1.6-1.ca2004.1_all.deb
Size: 242908
MD5sum: a5d3af6630f5fb8e8e9be8d2665f8c0a
SHA1: 4bff34cb7b7a03fcc87ad9587ac19e0b32a8b26a
SHA256: 2bffa4dc43739644ea3416b89de26f8464529c3ad0c9ac20801e34058b9713f1
SHA512: 339bab8e3b727fed53edad7415ecfb0b4b0cacbd911bda21eb224a83a3470db8c6fbbefe847821c52e63184c6419992127e31cf4f7191aecc01a481b5efb2c39
Homepage: https://cran.r-project.org/package=virtualspecies
Description: CRAN Package 'virtualspecies' (Generation of Virtual Species Distributions)
 Provides a framework for generating virtual species distributions, a
 procedure increasingly used in ecology to improve species distribution
 models. This package integrates the existing methodological approaches with
 the objective of generating virtual species distributions with increased
 ecological realism.

Package: r-cran-virtuoso
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 235
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-odbc, r-cran-processx, r-cran-dbi, r-cran-ini, r-cran-rappdirs, r-cran-curl, r-cran-fs, r-cran-digest, r-cran-ps
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-nycflights13, r-cran-testthat, r-cran-covr, r-cran-jsonld, r-cran-dplyr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-virtuoso_0.1.8-1.ca2004.1_all.deb
Size: 158880
MD5sum: 0b528abf3a221b2f8b2b25d49a5fce82
SHA1: 99d9b96c6aae16f3e33481c60389ed3500da8990
SHA256: a11887c57c7ae498857375765c47bf22b6e813c6204bf13e7f3de3812cf138c3
SHA512: b9d3c4ee5a99fa451842c5f1cd243d208eac55df7a82b3990f6aa4c39beb403421446beab134fdada96dc69a13b70b4bdb34febd825513aa2fdbfaadaf8a2d1e
Homepage: https://cran.r-project.org/package=virtuoso
Description: CRAN Package 'virtuoso' (Interface to 'Virtuoso' using 'ODBC')
 Provides users with a simple and convenient mechanism to manage and query a
 'Virtuoso' database using the 'DBI' (Data-Base Interface) compatible 'ODBC'
 (Open Database Connectivity) interface.  'Virtuoso' is a high-performance
 "universal server," which can act as both a relational database, supporting
 standard Structured Query Language ('SQL') queries, while also supporting
 data following the Resource Description Framework ('RDF') model for Linked
 Data.  'RDF' data can be queried using 'SPARQL' ('SPARQL' Protocol and 'RDF'
 Query Language) queries, a graph-based query that supports semantic
 reasoning.  This allows users to leverage the performance of local or remote
 'Virtuoso' servers using popular 'R' packages such as 'DBI' and 'dplyr',
 while also providing a high-performance solution for working with large
 'RDF' 'triplestores' from 'R.'  The package also provides helper routines to
 install, launch, and manage a 'Virtuoso' server locally on 'Mac', 'Windows'
 and 'Linux' platforms using the standard interactive installers from the 'R'
 command-line.  By automatically handling these setup steps, the package can
 make using 'Virtuoso' considerably faster and easier for a most users to
 deploy in a local environment. Managing the bulk import of triples from
 common serializations with a single intuitive command is another key feature
 of this package.  Bulk import performance can be tens to hundreds of times
 faster than the comparable imports using existing 'R' tools, including
 'rdflib' and 'redland' packages.

Package: r-cran-viruslearner
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dials, r-cran-dplyr, r-cran-hardhat, r-cran-parsnip, r-cran-recipes, r-cran-rsample, r-cran-stacks, r-cran-tidyselect, r-cran-tune, r-cran-workflows, r-cran-workflowsets, r-cran-yardstick
Suggests: r-cran-baguette, r-cran-broom, r-cran-cowplot, r-cran-factoextra, r-cran-factominer, r-cran-ggpubr, r-cran-kernlab, r-cran-kknn, r-cran-knitr, r-cran-nnet, r-cran-neuralnettools, r-cran-ranger, r-cran-rmarkdown, r-cran-rules, r-cran-testthat, r-cran-tidyverse, r-cran-vdiffr, r-cran-tidyr, r-cran-viraldomain, r-cran-vip
Filename: pool/dists/focal/main/r-cran-viruslearner_0.0.2-1.ca2004.1_all.deb
Size: 151608
MD5sum: f1be63b91e0dbf53973e30e4f4f33b82
SHA1: e90ad9f28eab91d896d16c673a1c89227f12293e
SHA256: 274cf301a313ef20d785eb04bead12fbc6b9c895a851ced87d48a6c943f70adc
SHA512: bd95e06d08be1b61561bcf0706f6b51c944c9bb32f778cb99b099dcec38842afbe8f2612514a930346bfa97a3cafc941cfa51000b2c3d20dcdca81990c3bbc5a
Homepage: https://cran.r-project.org/package=viruslearner
Description: CRAN Package 'viruslearner' (Ensemble Learning for HIV-Related Metrics)
 Advanced statistical modeling techniques for ensemble learning, specifically
 tailored to the analysis of lymphocyte counts and viral load data in the
 context of HIV research. Empowering researchers and practitioners, this tool
 provides a comprehensive solution for tasks such as analysis, prediction and
 risk calculation related to key viral metrics. The package incorporates
 cutting-edge ensemble learning principles, inspired by model stacking
 techniques of Simon P. Couch and Max Kuhn (2022) <doi:10.21105/joss.04471>
 and adhering to tidy data principles, offering a robust and reproducible
 framework for HIV research.

Package: r-cran-virusparies
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 606
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-chromote, r-cran-cowplot, r-cran-dplyr, r-cran-ggplot2, r-cran-gt, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-stringr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-virusparies_1.1.0-1.ca2004.1_all.deb
Size: 452504
MD5sum: 0448b95f1cccc4fdae15e9396ab1d550
SHA1: 20f6a9290b4737376e6ebb77e86e9b72ff725a26
SHA256: 1499f15ec51912a086ac5fe9c13a95bd7c3ef0101ad7a99eb1d0a5072b86879f
SHA512: 6b05d8e8584b22cb5f732e6976744ee9cfe2cd3766c76f1ea9307ee6cb7b34e9acff192d04e523845ff00f43a3f8f03364e78f4a78d83e16e30290e69be60d42
Homepage: https://cran.r-project.org/package=Virusparies
Description: CRAN Package 'Virusparies' (Visualize and Process Output from 'VirusHunterGatherer')
 A collection of tools for downstream analysis of 'VirusHunterGatherer'
 output. Processing of hittables and plotting of results, enabling better
 interpretation, is made easier with the provided functions.

Package: r-cran-virustotal
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 739
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-plyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-virustotal_0.2.2-1.ca2004.1_all.deb
Size: 268408
MD5sum: 57fe206a9572c30264bdba310f503394
SHA1: eba87afe6ecb6ac5e428ebd4b0628a6a0ecb9434
SHA256: 4dcad4205bb8b71d8f28037f82be8725bbc1985a92878207f7541a98e1e93b82
SHA512: e4cde9758addcc165ad589d6c8654bd24be3d61ed1f5583c2d6e583c5227195fe2e95ac150909582d76dd8860b8b590372c8dd1baa264fc16a5112a5b43d94b7
Homepage: https://cran.r-project.org/package=virustotal
Description: CRAN Package 'virustotal' (R Client for the VirusTotal API)
 Use VirusTotal, a Google service that analyzes files and URLs for viruses,
 worms, trojans etc., provides category of the content hosted by a domain
 from a variety of prominent services, provides passive DNS information,
 among other things. See <http://www.virustotal.com> for more information.

Package: r-cran-visa
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-ggpmisc, r-cran-magrittr, r-cran-matrix, r-cran-plot3d, r-cran-plotly, r-cran-reshape2, r-cran-rcolorbrewer
Suggests: r-cran-devtools, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-visa_1.0.0-1.ca2004.1_all.deb
Size: 372584
MD5sum: fac253d58f1103e1d0c0a72d166e3342
SHA1: 100475f76f01b14bdabc5008403bd976678d74dd
SHA256: ba46b4eb6c2c7b03c0cc3cb6b7a606c414568566d62f2ed737e42c395bc5455e
SHA512: 036fe508673cf469f3b76a7263024b7a4b97289c97c808410e63f59205c173880aa137e9a1899cdf06c81f637154a3df96de1cacb432be63c06ed99f8325fb13
Homepage: https://cran.r-project.org/package=visa
Description: CRAN Package 'visa' (Vegetation Imaging Spectroscopy Analyzer)
 Provides easy-to-use tools for data analysis and visualization for
 hyperspectral remote sensing (also known as imaging spectroscopy), with a
 particular focus on vegetation hyperspectral data analysis. It consists of a
 set of functions, ranging from the organization of hyperspectral data in the
 proper data structure for spectral feature selection, calculation of
 vegetation index, multivariate analysis, as well as to the visualization of
 spectra and results of analysis in the 'ggplot2' style.

Package: r-cran-visachartr
Architecture: all
Version: 4.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6609
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmlwidgets
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-visachartr_4.0.1-1.ca2004.1_all.deb
Size: 1524312
MD5sum: 6aeb5c9e09f8fbf570ba9924b6034236
SHA1: a3020f79ba110516ce00f496378dd4e3325617e3
SHA256: fd1f55099503108e7cf5c3fe9a2dc7ef8c70400c837f80d1fe4d84191f77957c
SHA512: fdfacca205242a49ba9954378f48181c9d9ad15efd17e10489480770eb88a1e8d36265e064272e1e2ae2a2c7caf2f6ff0b08ce4d572e36e536b137bea18d6b85
Homepage: https://cran.r-project.org/package=visachartR
Description: CRAN Package 'visachartR' (Wrapper for 'Visa Chart Components')
 Provides a set of wrapper functions for 'Visa Chart Components'.  'Visa
 Chart Components' <https://github.com/visa/visa-chart-components> is an
 accessibility focused, framework agnostic set of data experience design
 systems components for the web.

Package: r-cran-visae
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 689
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-dplyr, r-cran-ggplot2, r-cran-shinyjs, r-cran-ca, r-cran-tidyr, r-cran-ggrepel, r-cran-rlang, r-cran-dt
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-visae_0.2.1-1.ca2004.1_all.deb
Size: 447824
MD5sum: 6d5e2ac9bbdfbc2976f09989aa983a6d
SHA1: a5955025f6640a9c063e5ff26819fd68c49c5fd3
SHA256: 27e01987ad7ff4e426966ceb9645c8115ef8e12f13e44565aa3de3e55f40d163
SHA512: 4d381c846b34de5752b43bf0e89a64a356f405e2944301fbe3833288072d21f9664a878d40c00a23371c00c48cb8f8666fce5339a17963b003d45ebafa54d9e6
Homepage: https://cran.r-project.org/package=visae
Description: CRAN Package 'visae' (Visualization of Adverse Events)
 Implementation of 'shiny' app to visualize adverse events based on the
 Common Terminology Criteria for Adverse Events (CTCAE) using stacked
 correspondence analysis as described in Diniz et. al
 (2021)<doi:10.1186/s12874-021-01368-w>.

Package: r-cran-visaotr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rglpk, r-cran-e1071, r-cran-kernlab, r-cran-matrix, r-cran-mboost, r-cran-randomforest, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-visaotr_0.1.0-1.ca2004.1_all.deb
Size: 45196
MD5sum: acfe9395226d7c6b6ce32c89013a3e27
SHA1: 4ffc418450b489e2b96a736883e79e8f19014d5c
SHA256: 1386d75af28019081c17958a51925ca1dd0dce4496945f64d50ea41a62fc2335
SHA512: 1bc21070938d96119bce04e3e17df60cfe9704148f54145850e4021eeb147237a008a29341ac0a172b52aca3ebf2ffd277db987b46a7a9f1beafd3e2a8c89bf6
Homepage: https://cran.r-project.org/package=visaOTR
Description: CRAN Package 'visaOTR' (Valid Improved Sparsity A-Learning for Optimal TreatmentDecision)
 Valid Improved Sparsity A-Learning (VISA) provides a new method for
 selecting important variables involved in optimal treatment regime from a
 multiply robust perspective. The VISA estimator achieves its success by
 borrowing the strengths of both model averaging (ARM, Yuhong Yang, 2001)
 <doi:10.1198/016214501753168262> and variable selection (PAL, Chengchun Shi,
 Ailin Fan, Rui Song and Wenbin Lu, 2018) <doi:10.1214/17-AOS1570>. The
 package is an implementation of Zishu Zhan and Jingxiao Zhang. (2022+).

Package: r-cran-viscollin
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 230
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-car, r-cran-corrgram, r-cran-corrplot, r-cran-dplyr, r-cran-lmtest, r-cran-knitr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-viscollin_0.1.2-1.ca2004.1_all.deb
Size: 188380
MD5sum: 2fbffbfb5af21f0825c337d21b8eec06
SHA1: a4e63b018c42fc5914eeeb85a39c551e5b75e319
SHA256: 7a46cfa975e0c5cb9103b947d1a0726f69a7d612bafa6b4a739c05122dd233c4
SHA512: 3e47674d9881418188f6fdf745bbc0a3d071829cbe7f2504afb3eece3e7ee2dff837a59bd5909eb7f5945f28ec38b704214c6e96364406401f81adebf899fdd1
Homepage: https://cran.r-project.org/package=VisCollin
Description: CRAN Package 'VisCollin' (Visualizing Collinearity Diagnostics)
 Provides methods to calculate diagnostics for multicollinearity among
 predictors in a linear or generalized linear model. It also provides methods
 to visualize those diagnostics following Friendly & Kwan (2009), "Where’s
 Waldo: Visualizing Collinearity Diagnostics", <doi:10.1198/tast.2009.0012>.
 These include better tabular presentation of collinearity diagnostics that
 highlight the important numbers, a semi-graphic tableplot of the diagnostics
 to make warning and danger levels more salient, and a "collinearity biplot"
 of the smallest dimensions of predictor space, where collinearity is most
 apparent.

Package: r-cran-viscomp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 603
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-circlize, r-cran-dplyr, r-cran-ggextra, r-cran-ggnewscale, r-cran-ggplot2, r-cran-hmisc, r-cran-mass, r-cran-netmeta, r-cran-plyr, r-cran-qgraph, r-cran-reshape2, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-viscomp_1.0.0-1.ca2004.1_all.deb
Size: 457464
MD5sum: b405b0091b958d1e34cfeb78e588eb21
SHA1: 1fc8fa084589c786f66e7184d1cd76cc35e3ec18
SHA256: 488254d0cfb883384bf3ddd34dec987a775502881dd32b18213adec3aa8ad094
SHA512: fcc2ae396d13315326c4fe4feb9c86ac12f1380f6562e1addc172a5c4c3d98379356d3a10921e94f3bc4dc4ba518f2601eeb42f9c78ee152675d1c7eb3ba3455
Homepage: https://cran.r-project.org/package=viscomp
Description: CRAN Package 'viscomp' (Visualize Multi-Component Interventions in Network Meta-Analysis)
 A set of functions providing several visualization tools for exploring the
 behavior of the components in a network meta-analysis of multi-component
 (complex) interventions: - components descriptive analysis - heat plot of
 the two-by-two component combinations - leaving one component combination
 out scatter plot - violin plot for specific component combinations' effects
 - density plot for components' effects - waterfall plot for the
 interventions' effects that differ by a certain component combination -
 network graph of components - rank heat plot of components for multiple
 outcomes.  The implemented tools are described by Seitidis et al. (2023)
 <doi:10.1002/jrsm.1617>.

Package: r-cran-viscov
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesm, r-cran-clustergeneration, r-cran-scatterplot3d, r-cran-kernsmooth, r-cran-trialr
Filename: pool/dists/focal/main/r-cran-viscov_1.6.0-1.ca2004.1_all.deb
Size: 87152
MD5sum: ef7aadd5f37570a149fc2e5a07ce202e
SHA1: 2684205ea332cb7f7412cd4fe7b3eddbaa08c169
SHA256: 7154542fcac338b0fd5c34d59a1ff31fca958a402591bbbd289f49b91a73f67f
SHA512: 754437f78ddbd7578bfb431bc136056b02d649ef9e1e27f9096e5e62662689034a437f07cfdd84f32515acb45055e34451df2bc1399d12f66390b5fabf8afca3
Homepage: https://cran.r-project.org/package=VisCov
Description: CRAN Package 'VisCov' (Visualizing of Distributions of Covariance Matrices)
 Visualizing of distributions of covariance matrices.  The package implements
 the methodology described in Tokuda, T., Goodrich, B., Van Mechelen, I.,
 Gelman, A., & Tuerlinckx, F. (2012)
 <https://sites.stat.columbia.edu/gelman/research/unpublished/Visualization.pdf>.

Package: r-cran-visdat
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1579
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-dplyr, r-cran-purrr, r-cran-readr, r-cran-magrittr, r-cran-tibble, r-cran-glue, r-cran-forcats, r-cran-cli, r-cran-scales
Suggests: r-cran-testthat, r-cran-plotly, r-cran-knitr, r-cran-rmarkdown, r-cran-vdiffr, r-cran-spelling, r-cran-covr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-visdat_0.6.0-1.ca2004.1_all.deb
Size: 1029124
MD5sum: 24f9ce9082793a7438702272a9021163
SHA1: d35a7f525d88c978a4e1b4cf69c06d5b48986c18
SHA256: 1e8ce30c5819f7bfabc9d8653a00da6325f89f191cf89351d4d601777cb86ec9
SHA512: eb0ddf3fc7ee25bc448ae4e4fd6f15d2d2a66ec9a80e17640c6b8e1e53955089b4565afefcd2241f13de8e6b5e37970ef661ebfaaaafee835b85cc7d9e8a62bc
Homepage: https://cran.r-project.org/package=visdat
Description: CRAN Package 'visdat' (Preliminary Visualisation of Data)
 Create preliminary exploratory data visualisations of an entire dataset to
 identify problems or unexpected features using 'ggplot2'.

Package: r-cran-vise
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 935
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tidyr, r-cran-scales, r-cran-cowplot, r-cran-shiny
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-vise_0.1.3-1.ca2004.1_all.deb
Size: 600160
MD5sum: d7a936090917e9e7cf62004396b856f7
SHA1: 297c8a36e76830651a3ef82ca5d9f013017c0daa
SHA256: 96c4267dd67558acf59b2a81bed1ca1abbf7294599df021c05c3bbe6d4d7f462
SHA512: 56ef793877afa7fcb10da60d01a06ff6dfee9b0d5821260efe817b53c08e1705220e43e6e2f144d539da0a4e90f61d8f58df3710fc17438b6b5f4cae30536318
Homepage: https://cran.r-project.org/package=ViSe
Description: CRAN Package 'ViSe' (Visualizing Sensitivity)
 Designed to help the user to determine the sensitivity of an proposed causal
 effect to unconsidered common causes. Users can create visualizations of
 sensitivity, effect sizes, and determine which pattern of effects would
 support a causal claim for between group differences. Number needed to treat
 formula from Kraemer H.C. & Kupfer D.J. (2006)
 <doi:10.1016/j.biopsych.2005.09.014>.

Package: r-cran-visielse
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1168
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-colorspace, r-cran-stringr, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-visielse_1.2.2-1.ca2004.1_all.deb
Size: 674064
MD5sum: f877142080ec81c43f07084011040a73
SHA1: 0a96d15e2fff07d6c6aeebf61f745ed9a3683d35
SHA256: 820ae60bf753059777737fdf679d2daf612744f3c6c8c01120a62fab82f45694
SHA512: 64ac8c9aa185c9cfcd7aaf03ad0a750729e89a4dd55e0ca64dafa0d774216367d71bdee74d649a9b6a04003498d74cbf34914f89fe9b7ee363076b111515be03
Homepage: https://cran.r-project.org/package=ViSiElse
Description: CRAN Package 'ViSiElse' (A Visual Tool for Behavior Analysis over Time)
 A graphical R package designed to visualize behavioral observations over
 time. Based on raw time data extracted from video recorded sessions of
 experimental observations, ViSiElse grants a global overview of a process by
 combining the visualization of multiple actions timestamps for all
 participants in a single graph. Individuals and/or group behavior can easily
 be assessed. Supplementary features allow users to further inspect their
 data by adding summary statistics (mean, standard deviation, quantile or
 statistical test) and/or time constraints to assess the accuracy of the
 realized actions.

Package: r-cran-visitorcounts
Architecture: all
Version: 2.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1124
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rssa, r-cran-ggplot2, r-cran-zoo, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-visitorcounts_2.0.3-1.ca2004.1_all.deb
Size: 817748
MD5sum: 5d672152565b4f922551b2194527889e
SHA1: fea8e16445002a3acaca6ec565c69135d05489d5
SHA256: 96d36d7a26db676880db832680deff7e40020eef12ba02ae0f1f9dc5ca1e89aa
SHA512: c861fd694fcf93722daf526943e2c0e7398309ae8e53db50b42f432a7035c564aa68e56dab69c55a4967837ce4ca8c310d0ead669f8a7f5f5090ffbb6f274aaa
Homepage: https://cran.r-project.org/package=VisitorCounts
Description: CRAN Package 'VisitorCounts' (Modeling and Forecasting Visitor Counts Using Social Media)
 Performs modeling and forecasting of park visitor counts using social media
 data and (partial) on-site visitor counts.  Specifically, the model is built
 based on an automatic decomposition of the trend and seasonal components of
 the social media-based park visitor counts, from which short-term forecasts
 of the visitor counts and percent changes in the visitor counts can be made.
 A reference for the underlying model that 'VisitorCounts' uses can be found
 at Russell Goebel, Austin Schmaltz, Beth Ann Brackett, Spencer A. Wood,
 Kimihiro Noguchi (2023) <doi:10.1002/for.2965> .

Package: r-cran-vismeteor
Architecture: all
Version: 1.8.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1016
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi
Suggests: r-cran-usethis, r-cran-testthat, r-cran-rsqlite, r-cran-rpostgresql, r-cran-rmysql, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vismeteor_1.8.5-1.ca2004.1_all.deb
Size: 814012
MD5sum: c52a82efa7c1654027981daa583bd5b1
SHA1: c469f81e92f5c9e4d4faa56f65adb9a8f8b5ee52
SHA256: 35f12f7ce3b6cfaa92f121e9a0773e3e448476ee1123ed4a6fd10874294dbe27
SHA512: ca70342ff4e1d8aff9c040ae0d509a0178501035b481027ca430cf91d657e7d6cde03fe4c658ac4fc07067da3f7fd48e4ac45ccc5f18671804fdedfc05472d72
Homepage: https://cran.r-project.org/package=vismeteor
Description: CRAN Package 'vismeteor' (Analysis of Visual Meteor Data)
 Provides a suite of analytical functionalities to process and analyze visual
 meteor observations from the Visual Meteor Database of the International
 Meteor Organization <https://www.imo.net/>.

Package: r-cran-visnetwork
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10690
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-webshot, r-cran-igraph, r-cran-rpart, r-cran-shiny, r-cran-shinywidgets, r-cran-colourpicker, r-cran-sparkline, r-cran-ggraph, r-cran-tidygraph, r-cran-flashclust
Filename: pool/dists/focal/main/r-cran-visnetwork_2.1.2-1.ca2004.1_all.deb
Size: 3722696
MD5sum: 9c54b2a5a6b30f5eceb9b3b28d48c504
SHA1: 3487ed0fa5788f2b84568244e6da0df1f85a8aad
SHA256: 9ac86941623b84264e71074e68ede228f5ee605ca34988fcf9ed83f7c5de9381
SHA512: 2f60455fdddf769cce53e0d928a01041658b8477c79a9f353c310538b5166e615369b0c6dcf2c92d3b909006cf33cba3ceecd896a4efdb95a2f86223fcbec9ae
Homepage: https://cran.r-project.org/package=visNetwork
Description: CRAN Package 'visNetwork' (Network Visualization using 'vis.js' Library)
 Provides an R interface to the 'vis.js' JavaScript charting library. It
 allows an interactive visualization of networks.

Package: r-cran-visomopresults
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1873
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-glue, r-cran-omopgenerics, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-covr, r-cran-dt, r-cran-flextable, r-cran-ggplot2, r-cran-gt, r-cran-htmltools, r-cran-knitr, r-cran-lifecycle, r-cran-officer, r-cran-palmerpenguins, r-cran-patientprofiles, r-cran-plotly, r-cran-reactable, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-visomopresults_1.1.1-1.ca2004.1_all.deb
Size: 1071804
MD5sum: c8aca091fe61309aef86886bf0bc2513
SHA1: e0a864c744d580e51ec6e950037071026d8fb129
SHA256: 367180332124f94bb14a7d0bd8650d17b1803970151481a26a766136ceb0ed26
SHA512: 973dd0b23be19fb7cefd8c7366c3724f525399f7433fc983513f085b595ecad9bdd75f36fa8fb5bfc0649b1ea02dae63111736c57d101524857179d486730e5a
Homepage: https://cran.r-project.org/package=visOmopResults
Description: CRAN Package 'visOmopResults' (Graphs and Tables for OMOP Results)
 Provides methods to transform omop_result objects into formatted tables and
 figures, facilitating the visualisation of study results working with the
 Observational Medical Outcomes Partnership (OMOP) Common Data Model.

Package: r-cran-visor
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-sfheaders
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-visor_0.1.0-1.ca2004.1_all.deb
Size: 82192
MD5sum: 57bbe2905545b3f4193733133beeaca1
SHA1: 4e527182776c37be0e681fc66e7eeae462f8dfa9
SHA256: cc8a370235a48d78748fd49ea98b5be7d632d672a936d9a8ea2737e1b895e303
SHA512: 4588bd80c0c281af5ce0c14f886b843994653f6e7591ba9de0f474ac885fc7caeacda572864d0d6226443f1a7a59f0626a9e027b02cb1df4e9800d611d5555ed
Homepage: https://cran.r-project.org/package=visor
Description: CRAN Package 'visor' (Geospatial Tools for Visibility Analysis)
 Provides tools for visibility analysis in geospatial data. It offers
 functionality to perform isovist calculations, using arbitrary geometries as
 both viewpoints and occluders.

Package: r-cran-visr
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2082
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-broom, r-cran-cowplot, r-cran-dplyr, r-cran-dt, r-cran-forcats, r-cran-ggplot2, r-cran-gridextra, r-cran-gt, r-cran-gtable, r-cran-kableextra, r-cran-knitr, r-cran-lifecycle, r-cran-rlang, r-cran-survival, r-cran-tibble, r-cran-tidycmprsk, r-cran-tidyr
Suggests: r-cran-data.table, r-cran-ggpubr, r-cran-learnr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-visr_0.4.1-1.ca2004.1_all.deb
Size: 1223604
MD5sum: 13825268884ee3bf12eaf70b4f5b665e
SHA1: fe559be659892c93d8e2d3b8592e240180da3bb3
SHA256: be0bbb453406c09741749153d217c144915f401e90bf9e3ef401aeea9739eeac
SHA512: 33bb8c7f339a89f2283c1f812c22e1abb32456e9ab897fe1825b44b2e0348cf178eff7cab6a57f38096ae4ef4d82f2f7e117ca910d211f9cd4d2686c873a70b0
Homepage: https://cran.r-project.org/package=visR
Description: CRAN Package 'visR' (Clinical Graphs and Tables Adhering to Graphical Principles)
 To enable fit-for-purpose, reusable clinical and medical research focused
 visualizations and tables with sensible defaults and based on graphical
 principles as described in: "Vandemeulebroecke et al. (2018)"
 <doi:10.1002/pst.1912>, "Vandemeulebroecke et al. (2019)"
 <doi:10.1002/psp4.12455>, and "Morris et al. (2019)"
 <doi:10.1136/bmjopen-2019-030215>.

Package: r-cran-visreg
Architecture: all
Version: 2.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 407
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Suggests: r-cran-rgl, r-cran-mass, r-cran-survival, r-cran-knitr, r-cran-ggplot2, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-visreg_2.7.0-1.ca2004.1_all.deb
Size: 286960
MD5sum: 1c0aed4f3b512ead9c110e2fdda810ab
SHA1: 185ecb8e63e250dd20fb7745c8de5b931881f606
SHA256: c3471ef15412f4e5cc080c95e61449772adc5bd0d9ea3bf803131308f8188b39
SHA512: e28c1003ee2d17b137097e232eaf3f07c29feb784dd368449b674722a32a423d87a4da9049db49f9d71f0c7973919d4b941b56446ab3b10db5d578afec14df8b
Homepage: https://cran.r-project.org/package=visreg
Description: CRAN Package 'visreg' (Visualization of Regression Models)
 Provides a convenient interface for constructing plots to visualize the fit
 of regression models arising from a wide variety of models in R ('lm',
 'glm', 'coxph', 'rlm', 'gam', 'locfit', 'lmer', 'randomForest', etc.)

Package: r-cran-visstatistics
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5145
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cairo, r-cran-multcompview, r-cran-nortest, r-cran-vcd
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-visstatistics_0.1.7-1.ca2004.1_all.deb
Size: 3123356
MD5sum: c7271454c40351b8d61a891e4ae9590f
SHA1: da24c744f2db4254740697647307be5313c1bb9c
SHA256: 62fdeab3de82ac23cbed932d2c3f2ff93f0508756eebbe021838083e93f4c387
SHA512: e4f56af63e64c8fbcb1fa175ce415b129a05a7f794396dbe1e56012223e15c3b051e2cde66ff9d67f70e74cc4a75d988271ec6528250bc2364480ebe356736cb
Homepage: https://cran.r-project.org/package=visStatistics
Description: CRAN Package 'visStatistics' (Automated Selection and Visualisation of Statistical HypothesisTests)
 Automatically selects and visualises statistical hypothesis tests between
 two vectors, based on their class, distribution, sample size, and a
 user-defined confidence level (conf.level). Visual outputs - including box
 plots, bar charts, regression lines with confidence bands, mosaic plots,
 residual plots, and Q-Q plots - are annotated with relevant test statistics,
 assumption checks, and post-hoc analyses where applicable.  The algorithmic
 workflow helps the user focus on the interpretation of test results rather
 than test selection. It is particularly suited for quick data analysis,
 e.g., in statistical consulting projects or educational settings.  The test
 selection algorithm proceeds as follows: Input vectors of class numeric or
 integer are considered numerical; those of class factor are considered
 categorical.  Assumptions of residual normality and homogeneity of variances
 are considered met if the corresponding test yields a p-value greater than
 the significance level alpha = 1 - conf.level.  (1) When the response vector
 is numerical and the predictor vector is categorical, a test of central
 tendencies is selected.  If the categorical predictor has exactly two
 levels, t.test() is applied when group sizes exceed 30 (Lumley et al. (2002)
 <doi:10.1146/annurev.publhealth.23.100901.140546>).  For smaller samples,
 normality of residuals is tested using shapiro.test(); if met, t.test() is
 used; otherwise, wilcox.test().  If the predictor is categorical with more
 than two levels, an aov() is initially fitted. Residual normality is
 evaluated using both shapiro.test() and ad.test(); residuals are considered
 approximately normal if at least one test yields a p-value above alpha. If
 this assumption is met, bartlett.test() assesses variance homogeneity.  If
 variances are homogeneous, aov() is used; otherwise oneway.test().  Both
 tests are followed by TukeyHSD().  If residual normality cannot be assumed,
 kruskal.test() is followed by pairwise.wilcox.test().  (2) When both the
 response and predictor vectors are numerical, a simple linear regression
 model is fitted using lm().  (3) When both vectors are categorical,
 Cochran's rule (Cochran (1954) <doi:10.2307/3001666>) is applied to test
 independence either by chisq.test() or fisher.test().

Package: r-cran-vistime
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5932
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang, r-cran-assertthat, r-cran-plotly, r-cran-ggplot2, r-cran-ggrepel, r-cran-rcolorbrewer
Suggests: r-cran-prettydoc, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-highcharter
Filename: pool/dists/focal/main/r-cran-vistime_1.2.4-1.ca2004.1_all.deb
Size: 1468980
MD5sum: 01b3ff88cb3548b7dbd1dedbe1ebe2de
SHA1: 88cb67fc97ec2c55b1b63079b56398f5a23006c6
SHA256: 0673dc906b667023f29219dd4b2b0f54cad40d6297f70a6a49b2ec3ec912c5c3
SHA512: 7bd4c6c1c85a261d5a9f6c841ffcd9927a330353eaeb4e76e99785be6118b1217cbd6c79bd02bd17a2d1f94a82d44d8a985fbc73aa4ce46927bc113d7ac1d84a
Homepage: https://cran.r-project.org/package=vistime
Description: CRAN Package 'vistime' (Pretty Timelines in R)
 A library for creating time based charts, like Gantt or timelines. Possible
 outputs include 'ggplot2' diagrams, 'plotly.js' graphs, 'Highcharts.js'
 widgets and data.frames. Results can be used in the 'RStudio' viewer pane,
 in 'RMarkdown' documents or in Shiny apps. In the interactive outputs
 created by vistime() and hc_vistime(), you can interact with the plot using
 mouse hover or zoom.

Package: r-cran-vistree
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-partykit, r-cran-rpart, r-cran-colorspace
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vistree_0.8.1-1.ca2004.1_all.deb
Size: 75964
MD5sum: 9299c159bb1db5ffd38755a3d4f73962
SHA1: 2fa176805cf14235a1c22ca45e2e92fd5e9fb3c7
SHA256: 324c9a1b014eb77fc23735dfbe40429c7f3a8244d0eec9bf73bb0a8890a69308
SHA512: af6289898a4690ff3dca51c487607d03e541a0d42b05df4b4b9bf87a66376df1a494705674e21a64c1ddedf66a96ac9c21f84e92773545db6db2197266eab393
Homepage: https://cran.r-project.org/package=visTree
Description: CRAN Package 'visTree' (Visualization of Subgroups for Decision Trees)
 Provides a visualization for characterizing subgroups defined by a decision
 tree structure. The visualization simplifies the ability to interpret
 individual pathways to subgroups; each sub-plot describes the distribution
 of observations within individual terminal nodes and percentile ranges for
 the associated inner nodes.

Package: r-cran-vistributions
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 613
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-magrittr
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr, r-cran-xplorerr
Filename: pool/dists/focal/main/r-cran-vistributions_0.2.0-1.ca2004.1_all.deb
Size: 384256
MD5sum: 0b8969469eadb05ccb35490bbd258d33
SHA1: 7c1b8954d072863a96383f29063347a3933d794b
SHA256: caf04cd51c3810707c2242df0446257e730808d881326d5e97ef15bd47be5cfe
SHA512: ff458b7563990cafc59639811bb3ba83ff289ded5f9c3669f9383fe8c2b2d7b79f5f50e47222c80e365c18a6a15d00994cf570c118114a93086fe8e070b07c16
Homepage: https://cran.r-project.org/package=vistributions
Description: CRAN Package 'vistributions' (Visualize Probability Distributions)
 Visualize and compute percentiles/probabilities of normal, t, f, chi square
 and binomial distributions.

Package: r-cran-visualdom
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-waveslim, r-cran-wavemulcor, r-cran-plot3d
Filename: pool/dists/focal/main/r-cran-visualdom_0.8.0-1.ca2004.1_all.deb
Size: 96652
MD5sum: 0bd1872a7d5089a149707543e2e0aae4
SHA1: 73e0091b663c9bb11c4d82a44ebac03920b1c8c8
SHA256: c5264f120ce4305dcbafd67e7404bd6bd239b56eb2dd2b2a690d27659a5fcd36
SHA512: c111eabac1b4788f992d629866e228cfb2361f222e98a9f11c9681e20ecd3ea04399d4f25d64b0efa6a1d7c3ebd1759e9087d09096fe961965fbca9013a7ba21
Homepage: https://cran.r-project.org/package=VisualDom
Description: CRAN Package 'VisualDom' (Visualize Dominant Variables in Wavelet Multiple Correlation)
 Estimates and plots as a heat map the correlation coefficients obtained via
 the wavelet local multiple correlation 'WLMC' (Fernández-Macho 2018) and the
 'dominant' variable/s, i.e., the variable/s that maximizes the multiple
 correlation through time and scale (Polanco-Martínez et al. 2020,
 Polanco-Martínez 2022). We improve the graphical outputs of WLMC proposing a
 didactic and useful way to visualize the 'dominant' variable(s) for a set of
 time series. The WLMC was designed for financial time series, but other
 kinds of data (e.g., climatic, ecological, etc.) can be used. The functions
 contained in 'VisualDom' are highly flexible since these contains several
 parameters to personalize the time series under analysis and the heat maps.
 In addition, we have also included two data sets (named 'rdata_climate' and
 'rdata_Lorenz') to exemplify the use of the functions contained in
 'VisualDom'. Methods derived from Fernández-Macho (2018)
 <doi:10.1016/j.physa.2017.11.050>, Polanco-Martínez et al. (2020)
 <doi:10.1038/s41598-020-77767-8> and Polanco-Martínez (2023, in press).

Package: r-cran-visualfields
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6230
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-hmisc, r-cran-dplyr, r-cran-polyclip, r-cran-deldir, r-cran-plotrix, r-cran-gtools, r-cran-combinat, r-cran-xml, r-cran-oro.dicom, r-cran-rlang, r-cran-shiny, r-cran-shinyjs, r-cran-dt, r-cran-htmltable, r-cran-boot, r-cran-pracma
Filename: pool/dists/focal/main/r-cran-visualfields_1.0.7-1.ca2004.1_all.deb
Size: 6279728
MD5sum: 01df6269baf3b34443254fad665ec524
SHA1: 592c22c1e7df16a2496ddf8c9ecb207b1658e857
SHA256: 082a6c2a542509e9254eccdff0bacbc7cb5ed60291170a4212dd533d7f81244b
SHA512: ca282c0d40b2dec8f15299e8417cc0b0512c30d8f9da94e26e0a927b75aeabe50a3d74a17a4c7216ebfdf5ecff37a23442736be06b2f74e7317e9dc62a3e5608
Homepage: https://cran.r-project.org/package=visualFields
Description: CRAN Package 'visualFields' (Statistical Methods for Visual Fields)
 A collection of tools for analyzing the field of vision. It provides a
 framework for development and use of innovative methods for visualization,
 statistical analysis, and clinical interpretation of visual-field loss and
 its change over time. It is intended to be a tool for collaborative
 research. The package is described in Marin-Franch and Swanson (2013)
 <doi:10.1167/13.4.10> and is part of the Open Perimetry Initiative (OPI)
 [Turpin, Artes, and McKendrick (2012) <doi:10.1167/12.11.22>].

Package: r-cran-visualize.cran.downloads
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3693
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cranlogs, r-cran-plotly, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-devtools, r-cran-roxygen2, r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-visualize.cran.downloads_1.0.3-1.ca2004.1_all.deb
Size: 2956460
MD5sum: 4886b4de770f4032f7a95e2f1e857c0b
SHA1: ea09420699369417ea171c67eea74398d59d6d2a
SHA256: 6ede2a0041f058749d0c9d104ecfa67a6e778b7fb978f833af282ceef9cd6ab5
SHA512: aad21f93a7c038b19abf5db5aaf1f4c10c13f69062e6bbf68121a07cb73782bfea1fe422f10cbc3feeb92d1ad924830c5ce5750ae928b6b9bfc32e575cc2691f
Homepage: https://cran.r-project.org/package=Visualize.CRAN.Downloads
Description: CRAN Package 'Visualize.CRAN.Downloads' (Visualize Downloads from 'CRAN' Packages)
 Visualize the trends and historical downloads from packages in the 'CRAN'
 repository. Data is obtained by using the 'API' to query the database from
 the 'RStudio' 'CRAN' mirror.

Package: r-cran-visualize
Architecture: all
Version: 4.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-visualize_4.5.0-1.ca2004.1_all.deb
Size: 342984
MD5sum: 0d30a09936b679bb21a5683913598a94
SHA1: 76d5968655305c4ba342a2a99607b575a7b6efdd
SHA256: c88895eb56e9539edc6f907360fb5d23c41fa35614d6d09315aecad0944c591e
SHA512: 5de660e32378d08f7f41d0e4dd54f01ff00f771cb52838406b261f7228ab90c10fe06f19305e65ca7c1c87366c8071da8a1ae608772b1d02b1aed5fe63d3b918
Homepage: https://cran.r-project.org/package=visualize
Description: CRAN Package 'visualize' (Graph Probability Distributions with User Supplied Parametersand Statistics)
 Graphs the pdf or pmf and highlights what area or probability is present in
 user defined locations. Visualize is able to provide lower tail, bounded,
 upper tail, and two tail calculations. Supports strict and equal to
 inequalities.  Also provided on the graph is the mean and variance of the
 distribution.

Package: r-cran-visualizesimon2stage
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1192
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-flextable, r-cran-ggplot2, r-cran-officer, r-cran-geomtextpath, r-cran-scales
Suggests: r-cran-clinfun, r-cran-knitr, r-cran-quarto, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-visualizesimon2stage_0.2.2-1.ca2004.1_all.deb
Size: 405368
MD5sum: 8befa03426d7a39498d2b9887d10bfd9
SHA1: 43c92421f67cc6d9d33db96ba03e83252152d225
SHA256: 72df5506f5a9c3c0110cb7ff570679b2ed55abf7a57ddf9c8a8c3b93b6ce3d54
SHA512: f1c479a7ae1ce3c45276e62989d97516da70240882d99a8223fca3aa686e01bdce2b9d42d11484837eb34c92b3dea0edd30bb23e262ffda81d72ace3dea311af
Homepage: https://cran.r-project.org/package=VisualizeSimon2Stage
Description: CRAN Package 'VisualizeSimon2Stage' (Visualize Simon's Two-Stage Design)
 To visualize the probabilities of early termination, fail and success of
 Simon's two-stage design.  To evaluate and visualize the operating
 characteristics of Simon's two-stage design.

Package: r-cran-visualpred
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1788
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbm, r-cran-randomforest, r-cran-nnet, r-cran-e1071, r-cran-mass, r-cran-magrittr, r-cran-factominer, r-cran-ggplot2, r-cran-mltools, r-cran-dplyr, r-cran-data.table, r-cran-mba, r-cran-proc, r-cran-ggrepel
Suggests: r-cran-knitr, r-cran-markdown, r-cran-egg
Filename: pool/dists/focal/main/r-cran-visualpred_0.1.1-1.ca2004.1_all.deb
Size: 1342904
MD5sum: a5c66fe0d3bfcd5807b34a03fc7167f5
SHA1: 7c101d4989aad9a7e8586babac2e421eccbd2d0f
SHA256: 59164b3e14a9e54c15c2050d214677a37e7ff5d222eca628d58ac7f64639ede5
SHA512: ea248d713a5d59316afbf1d90f9e0a845f9b464277533d01a13d115a173315d8fdc79388995706fb1fb181e7121ceea20595c1f60c64cf912b87ca08bab2385b
Homepage: https://cran.r-project.org/package=visualpred
Description: CRAN Package 'visualpred' (Visualization 2D of Binary Classification Models)
 Visual contour and 2D point and contour plots for binary classification
 modeling under algorithms such as 'glm', 'rf', 'gbm', 'nnet' and 'svm',
 presented over two dimensions generated by 'famd' and 'mca' methods. Package
 'FactoMineR' for multivariate reduction functions and package 'MBA' for
 interpolation functions are used. The package can be used to visualize the
 discriminant power of input variables and algorithmic modeling, explore
 outliers, compare algorithm behaviour, etc. It has been created initially
 for teaching purposes, but it has also many practical uses under the 'XAI'
 paradigm.

Package: r-cran-visvar
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 615
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-agricolae, r-cran-bslib, r-cran-corrplot, r-cran-flextable, r-cran-ggcorrplot, r-cran-ggplot2, r-cran-officer, r-cran-patchwork, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-rlang, r-cran-dplyr, r-cran-dt, r-cran-readxl, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-writexl, r-cran-shinytest2, r-cran-extrafont
Filename: pool/dists/focal/main/r-cran-visvar_1.0.0-1.ca2004.1_all.deb
Size: 357808
MD5sum: 4773d06841a4251210d6344af8657b7d
SHA1: 9f7342b8cd0fdad35d3817cff3f3291b6ffbda92
SHA256: 50f95b22e1d4f00288bb2f844caa71e7ac1785f0fea94db5634d7c0bb29d578c
SHA512: d93d44f334fc8c70b9356c1f59ccf567f1a33c7d567b2ed74cedd4f5101b0240393fed0001f3773038267e789f07cc7d92514a9e162d03ab9b3a963e3d74c29f
Homepage: https://cran.r-project.org/package=visvaR
Description: CRAN Package 'visvaR' (Shiny-Based Statistical Solutions for Agricultural Research)
 Visualize Variance is an intuitive 'shiny' applications tailored for
 agricultural research data analysis, including one-way and two-way analysis
 of variance, correlation, and other essential statistical tools. Users can
 easily upload their datasets, perform analyses, and download the results as
 a well-formatted document, streamlining the process of data analysis and
 reporting in agricultural research.The experimental design methods are based
 on classical work by Fisher (1925) and Scheffe (1959). The correlation
 visualization approaches follow methods developed by Wei & Simko (2021) and
 Friendly (2002) <doi:10.1198/000313002533>.

Package: r-cran-visvow
Architecture: all
Version: 1.3.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1125
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-shiny, r-cran-shinybs, r-cran-tidyr, r-cran-pbsmapping, r-cran-splitstackshape, r-cran-plyr, r-cran-dplyr, r-cran-formattable, r-cran-ggplot2, r-cran-plot3d, r-cran-mass, r-cran-ggdendro, r-cran-ggrepel, r-cran-readxl, r-cran-writexls, r-cran-dt, r-cran-psych, r-cran-pracma, r-cran-rtsne, r-cran-vegan, r-cran-effectsize, r-cran-svglite, r-cran-cairo, r-cran-tikzdevice, r-cran-shinybusy, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-visvow_1.3.11-1.ca2004.1_all.deb
Size: 1090284
MD5sum: 9563d945e5cb6e23c62ce5a403da4102
SHA1: a43fe4e04bdf4f5df989433ac8718c1a42b0edbc
SHA256: a3bde9758b928a5e029e2693ea73812a24dd32762071304b7e4226632de78135
SHA512: 8d6b0ee16411bed061c622bdcc8a44d2ac269021e5b2ace4fa4250890ea6b70a4fb347f285f8d7cad864eb2320021e70cfb2e11e2b2fef21ab2163a85cbe0e45
Homepage: https://cran.r-project.org/package=visvow
Description: CRAN Package 'visvow' (Visible Vowels: Visualization of Vowel Variation)
 Visualizes vowel variation in f0, F1, F2, F3 and duration.

Package: r-cran-visxhclust
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3277
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-shiny, r-cran-shinyhelper, r-cran-shinycssloaders, r-cran-bsplus, r-cran-dt, r-cran-ggplot2, r-cran-dplyr, r-cran-readr, r-cran-tidyr, r-cran-cluster, r-cran-fastcluster, r-cran-clvalid, r-cran-dunn.test, r-cran-rcolorbrewer, r-cran-dendextend, r-bioc-complexheatmap, r-cran-circlize, r-cran-patchwork, r-cran-knitr, r-cran-kableextra
Suggests: r-cran-testthat, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-visxhclust_1.1.0-1.ca2004.1_all.deb
Size: 1923188
MD5sum: 233765431fd2f28b9caf07c5f2dda8ff
SHA1: ed3c8f9b285f27d8f9a7160cf803e645f63c0b61
SHA256: b662ca1bdb68d99921024b0ed159c8ff932049a957b528c13931c574b5c932c3
SHA512: ed8b659e414a15d580a6c8353125854b28ebbdf4fc5ad5a3ff58fc22939f88875fc958acd465fb550fffcc6f1da8a08abea12aad9cc921cef10fe5ae9cd3ee69
Homepage: https://cran.r-project.org/package=visxhclust
Description: CRAN Package 'visxhclust' (A Shiny App for Visual Exploration of Hierarchical Clustering)
 A Shiny application and functions for visual exploration of hierarchical
 clustering with numeric datasets. Allows users to iterative set
 hyperparameters, select features and evaluate results through various plots
 and computation of evaluation criteria.

Package: r-cran-vitae
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3507
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-glue, r-cran-dplyr, r-cran-rmarkdown, r-cran-knitr, r-cran-xfun, r-cran-yaml, r-cran-tibble, r-cran-vctrs, r-cran-pillar, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-testthat, r-cran-stringr, r-cran-htmltools
Filename: pool/dists/focal/main/r-cran-vitae_0.6.0-1.ca2004.1_all.deb
Size: 1356456
MD5sum: acb9500ecb6a86513515bdb1468b6aff
SHA1: 31daffae8402e0e04a17fb33f2abeeadc541c9e0
SHA256: 0f873227e5b41cca726c9385c47f2fc0451da901140add2c72fcc6d2ed6936c8
SHA512: 492092e4f09604f1de12f9015411fc385ce09df9a579c5cbd247cbe226cb83889306a44f89ffa6b428e2857980bc7bf80f8bba7c37a0302a259b100385b62ac2
Homepage: https://cran.r-project.org/package=vitae
Description: CRAN Package 'vitae' (Curriculum Vitae for R Markdown)
 Provides templates and functions to simplify the production and maintenance
 of curriculum vitae.

Package: r-cran-vital
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6059
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cobs, r-cran-distributional, r-cran-dplyr, r-cran-fable, r-cran-fabletools, r-cran-future.apply, r-cran-generics, r-cran-ggplot2, r-cran-hmdhfdplus, r-cran-mgcv, r-cran-patchwork, r-cran-progressr, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-tsibble, r-cran-vctrs
Suggests: r-cran-demography, r-cran-feasts, r-cran-future, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vital_1.1.0-1.ca2004.1_all.deb
Size: 5628208
MD5sum: 89a2403ebd11bd507cd40f44a7228e54
SHA1: e654f64ceae60fa65d39c29bded3e61d8db699b4
SHA256: a6d74ba69828140fb6ce36e5386722eb9811c7516b10f2a01875342033614549
SHA512: 3f7691f7544ed548c30cb7f0e7bcd9a794962f81cdfbe1ce8e1f15c50941ebc6f9442fddce7fecd0746f396db456c26c8e775779c69de3e25d7a129bef1715f8
Homepage: https://cran.r-project.org/package=vital
Description: CRAN Package 'vital' (Tidy Analysis Tools for Mortality, Fertility, Migration andPopulation Data)
 Analysing vital statistics based on tools consistent with the tidyverse.
 Tools are provided for data visualization, lifetable calculations, computing
 net migration numbers, Lee-Carter modelling; functional data modelling and
 forecasting.

Package: r-cran-vitality
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 308
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vitality_1.3-1.ca2004.1_all.deb
Size: 257120
MD5sum: 5389071f5372e9741d07dbd50d064eda
SHA1: 5bd36b1758b9aa029d929452d59e8ad3ccb80c6f
SHA256: 2fe66c1cb2cfcfe41add44764236c38e5c7f92f08becd94797567673adc27bce
SHA512: cc99a5cc1d717eee24cb24ca00b9dee763ac96b9706f6d7491330bcfa5bf7bb8d8f5e838b253f673d7022719a1d2944467caa639fc76b4a06a2ff36e80412297
Homepage: https://cran.r-project.org/package=vitality
Description: CRAN Package 'vitality' (Fitting Routines for the Vitality Family of Mortality Models)
 Provides fitting routines for four versions of the Vitality family of
 mortality models.

Package: r-cran-vitals
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6407
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-ellmer, r-cran-glue, r-cran-httpuv, r-cran-jsonlite, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-rstudioapi, r-cran-s7, r-cran-tibble, r-cran-tidyr, r-cran-withr
Suggests: r-cran-ggplot2, r-cran-here, r-cran-htmltools, r-cran-knitr, r-cran-ordinal, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vitals_0.1.0-1.ca2004.1_all.deb
Size: 2266576
MD5sum: 1c0919a7242bc1bf1fbda94b6fb82228
SHA1: 7a2955f9c3f04a465ce70f3e5e1473280aa4e58a
SHA256: fe599b5b705ca3af4759c3e69ab9e5cc6b4a07de15a95dc15194387f9c9beafd
SHA512: d29c0cfdcae352576f7193166f002821eae114a45cddc9ec18245c3411965010c9255a9e3890e6866d37f3953c8e1f05e8d2fed9dfcba44a6c2ad16dad40bb00
Homepage: https://cran.r-project.org/package=vitals
Description: CRAN Package 'vitals' (Large Language Model Evaluation)
 A port of 'Inspect', a widely adopted 'Python' framework for large language
 model evaluation. Specifically aimed at 'ellmer' users who want to measure
 the effectiveness of their large language model-based products, the package
 supports prompt engineering, tool usage, multi-turn dialog, and model graded
 evaluations.

Package: r-cran-vivainsights
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3697
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-magrittr, r-cran-ggplot2, r-cran-reshape2, r-cran-scales, r-cran-ggrepel, r-cran-purrr, r-cran-data.table, r-cran-htmltools, r-cran-markdown, r-cran-networkd3, r-cran-rmarkdown, r-cran-wpa, r-cran-ggraph, r-cran-igraph, r-cran-tidytext, r-cran-ggwordcloud, r-cran-lifecycle, r-cran-glue
Suggests: r-cran-flexdashboard, r-cran-testthat, r-cran-lmtest, r-cran-sandwich, r-cran-slider
Filename: pool/dists/focal/main/r-cran-vivainsights_0.6.2-1.ca2004.1_all.deb
Size: 3498600
MD5sum: 8011eb375cace98f5ed83b85de387aa9
SHA1: 6eb7df751fe272de90093a09b17e825386a8209f
SHA256: fc8b882ccd87de5d76b130ac868bcd3a0294a693b0d712c553b89f8dadbd8c9e
SHA512: 5bb7bff5fd318327482e72a2932f317fd4ff338ef6625d903a19464de6e0c8955bf21faa3fe153134ab9eaf2eace6124c5b4f873cc119e6cebda53972a24f793
Homepage: https://cran.r-project.org/package=vivainsights
Description: CRAN Package 'vivainsights' (Analyze and Visualize Data from 'Microsoft Viva Insights')
 Provides a versatile range of functions, including exploratory data
 analysis, time-series analysis, organizational network analysis, and data
 validation, whilst at the same time implements a set of best practices in
 analyzing and visualizing data specific to 'Microsoft Viva Insights'.

Package: r-cran-vivaldi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6841
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-magrittr, r-cran-plotly, r-cran-seqinr, r-cran-tidyr, r-cran-tidyselect, r-cran-vcfr
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vivaldi_1.0.1-1.ca2004.1_all.deb
Size: 1652448
MD5sum: 791e09ec302a5302379bf38013ad33b1
SHA1: 80b62e7d0f7dccf0ecb4be1d41b471e92076fa52
SHA256: 094d0f7b236d3e8008d6c86e5973bababab9f639394f081429bc3a374312343a
SHA512: 5e34adce202cd99e81385637a0766b587487672e33a07867cfa00f31d16d4644490799519e485113828a2dc26597ab441b3ea9cda3776d1add465ac44ceaf268
Homepage: https://cran.r-project.org/package=vivaldi
Description: CRAN Package 'vivaldi' (Viral Variant Location and Diversity)
 Analysis of minor alleles in Illumina sequencing data of viral genomes.
 Functions in 'vivaldi' primarily operate on vcf files.

Package: r-cran-vivid
Architecture: all
Version: 0.2.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3661
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-condvis2, r-cran-ggplot2, r-cran-ggally, r-cran-rcolorbrewer, r-cran-colorspace, r-cran-dendser, r-cran-ggalt, r-cran-dplyr, r-cran-igraph, r-cran-flashlight, r-cran-ggnewscale, r-cran-sp
Suggests: r-cran-intergraph, r-cran-network, r-cran-sna, r-cran-mlr, r-cran-mass, r-cran-tidymodels, r-cran-e1071, r-cran-gridextra, r-cran-lemon, r-cran-mlr3, r-cran-mlr3learners, r-cran-scales, r-cran-ranger, r-cran-vip, r-cran-knitr, r-cran-rmarkdown, r-cran-randomforest, r-cran-testthat, r-cran-labeling, r-cran-zenplots, r-cran-covr, r-cran-xgboost, r-cran-bartmachine, r-cran-caret, r-cran-gbm, r-cran-keras
Filename: pool/dists/focal/main/r-cran-vivid_0.2.9-1.ca2004.1_all.deb
Size: 2453952
MD5sum: b57b38b61c90e1dd6030c18adbfbd422
SHA1: c111cf343611789f447ebe489709f2a2ff42e7b5
SHA256: 883532f7e60ac8967517558e4a189861879fa17a571259bfe4f9a6a642e79958
SHA512: a9493db37f791474346d541323aeeb6874caf53e7351ed81a3b4cbf522076694f8b42b67d6600d7ef81c0fadb8b3bc4d201e7d9cd344944d76a2f673d15c4cdd
Homepage: https://cran.r-project.org/package=vivid
Description: CRAN Package 'vivid' (Variable Importance and Variable Interaction Displays)
 A suite of plots for displaying variable importance and two-way variable
 interaction jointly. Can also display partial dependence plots laid out in a
 pairs plot or 'zenplots' style.

Package: r-cran-vivo
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 268
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-dalex
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-mlbench, r-cran-randomforest, r-cran-gridextra, r-cran-lattice, r-cran-testthat, r-cran-ingredients
Filename: pool/dists/focal/main/r-cran-vivo_0.2.1-1.ca2004.1_all.deb
Size: 168376
MD5sum: d6b7b13b2212f3b7c844cf0dc34affef
SHA1: e45b80ad0f18ee7db2252437c15849c4913c14b8
SHA256: c44fa4ddc87089412e6c482a8fd2b12ef5c279fff75a3ffeea731b4e86b96bf9
SHA512: 06c2cb6408aa389dc2748eaf62ede8bab7a243c178d9faace8b2e1a2b8e0ce020c53e96e3d65e78f0cfd2c330ded12469b18ee76688692e348b7b699376bb854
Homepage: https://cran.r-project.org/package=vivo
Description: CRAN Package 'vivo' (Variable Importance via Oscillations)
 Provides an easy to calculate local variable importance measure based on
 Ceteris Paribus profile and global variable importance measure based on
 Partial Dependence Profiles.

Package: r-cran-vizdraws
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3589
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-htmlwidgets, r-cran-magrittr, r-cran-stringr
Suggests: r-cran-glue, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vizdraws_2.0.0-1.ca2004.1_all.deb
Size: 555344
MD5sum: 605ecb7dfa7c715f47397660ff9a0460
SHA1: 8ae957d22f6836eec3461e05a34676a34124b721
SHA256: c83d06361a71bc057e849ed28fefb413088fb203626c2805cc5ef5336248bb73
SHA512: 51b298ba98f46fd5b8e3a36b7a9eb1b98aa99da1f55c683f1a6ec1404663fc5c32c86b02915e2204437b2dade5b5c29e1ccaf4ccc1d75a1d3c404eef1420a7af
Homepage: https://cran.r-project.org/package=vizdraws
Description: CRAN Package 'vizdraws' (Visualize Draws from the Prior and Posterior Distributions)
 Interactive visualization for Bayesian prior and posterior distributions.
 This package facilitates an animated transition between prior and posterior
 distributions.  Additionally, it splits the distribution into bars based on
 the provided 'breaks,' displaying the probability for each region. If no
 'breaks' are provided, it defaults to zero.

Package: r-cran-viztest
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 376
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-hdinterval, r-cran-tidyr
Suggests: r-cran-cardata, r-cran-collapse, r-cran-knitr, r-cran-lme4, r-cran-marginaleffects, r-cran-mvtnorm, r-cran-patchwork, r-cran-rmarkdown, r-cran-sandwich, r-cran-wooldridge
Filename: pool/dists/focal/main/r-cran-viztest_0.4-1.ca2004.1_all.deb
Size: 192916
MD5sum: 32b842f12fd6ca1490bb51b69759b838
SHA1: 79a76153c48c679ca51e42f7677789d7bc3e6af0
SHA256: 5d335498c33158af39dc597b7c19d230a40b00a195772cd7c63bc6b595b51847
SHA512: ffe114814f98cee5e2eca31e1525adbcc7470435b167fdcf1dc6d97e02a81448f1a8b1f7a0116f9d51f591f9c82faf18d05a7262b597398179bdea8eb3362651
Homepage: https://cran.r-project.org/package=VizTest
Description: CRAN Package 'VizTest' (Optimal Confidence Intervals for Visual Testing)
 Identifies the optimal confidence level to represent the results of a set of
 pairwise tests as suggested by Armstrong and Poirier (2025)
 <doi:10.1017/pan.2024.24>.

Package: r-cran-vkr
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 381
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-purrr, r-cran-jsonlite, r-cran-xml
Suggests: r-cran-stringr, r-cran-tm, r-cran-plyr, r-cran-dplyr, r-cran-reshape2, r-cran-jpeg, r-cran-igraph, r-cran-rgexf, r-cran-httpuv, r-cran-mongolite
Filename: pool/dists/focal/main/r-cran-vkr_0.2-1.ca2004.1_all.deb
Size: 326708
MD5sum: fc23ee3af48dccb2d2ab4acd22995f25
SHA1: 1109c5715f92fde5cee2b0da5aadc731446b91d6
SHA256: 78b9cba8524862ff8f68e6246d34c8db415593cf4027a3e799e1772715af9383
SHA512: 2a2a72a03caaceae35ad70e51ac95e6e012f15cc92082ad22e95090a16deeb0c9c28852056658e369814527c03abb87481fa4708db7de56450f437eba55509e6
Homepage: https://cran.r-project.org/package=vkR
Description: CRAN Package 'vkR' (Access to VK API via R)
 Provides an interface to the VK API <https://vk.com/dev/methods>.  VK
 <https://vk.com/> is the largest European online social networking service,
 based in Russia.

Package: r-cran-vlf
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 679
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vlf_1.1-3-1.ca2004.1_all.deb
Size: 631248
MD5sum: 86ba12df08a46f631c25e8bf5e881e8a
SHA1: 1eb64e3dc1d4191a840f3bfcd7227e10445f4d94
SHA256: 19030efe6f4140f06c9190a5f781b6892ea5442351c9c540157ed804ab4e0038
SHA512: 7df99073b589bb3307715fc50a9b1f6afba8c03ff81d6e0778c79c839f2ebec1dbd9d2182156c88f929df64401b667cdd5ac895795ddcdb4466ce8b5be45473b
Homepage: https://cran.r-project.org/package=VLF
Description: CRAN Package 'VLF' (Frequency Matrix Approach for Assessing Very Low FrequencyVariants in Sequence Records)
 Using frequency matrices, very low frequency variants (VLFs) are assessed
 for amino acid and nucleotide sequences.  The VLFs are then compared to see
 if they occur in only one member of a species, singleton VLFs, or if they
 occur in multiple members of a species, shared VLFs.  The amino acid and
 nucleotide VLFs are then compared to see if they are concordant with one
 another.  Amino acid VLFs are also assessed to determine if they lead to a
 change in amino acid residue type, and potential changes to protein
 structures. Based on Stoeckle and Kerr (2012)
 <doi:10.1371/journal.pone.0043992> and Phillips et al. (2023)
 <doi:10.3897/BDJ.11.e96480>.

Package: r-cran-vlmcx
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-nnet, r-cran-berryfunctions
Filename: pool/dists/focal/main/r-cran-vlmcx_1.0-1.ca2004.1_all.deb
Size: 92360
MD5sum: d6d6f1eebc08bb9d49dc6f14aa6ab8f3
SHA1: 51702c03b356696d7e43b49680cf62b88e50292f
SHA256: 22abe8aa04958e233f299c6e16b5878b1416e88da6687dfa6de412b3b1bbd9ab
SHA512: 8c9b6b6ba2f830df8b246f283a78c699d87f7e953c2b183944ef3abe6d5785d46c1400bc5e020e5ef99f098c9c09997a018871ef6e4465e0582967cd0f8e232c
Homepage: https://cran.r-project.org/package=VLMCX
Description: CRAN Package 'VLMCX' (Variable Length Markov Chain with Exogenous Covariates)
 Models categorical time series through a Markov Chain when a) covariates are
 predictors for transitioning into the next state/symbol and b) when the
 dependence in the past states has variable length. The probability of
 transitioning to the next state in the Markov Chain is defined by a
 multinomial regression whose parameters depend on the past states of the
 chain and, moreover, the number of states in the past needed to predict the
 next state also depends on the observed states themselves. See Zambom, Kim,
 and Garcia (2022) <doi:10.1111/jtsa.12615>.

Package: r-cran-vltimecausality
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dtw, r-cran-tseries, r-cran-rtransferentropy, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-vltimecausality_0.1.5-1.ca2004.1_all.deb
Size: 167904
MD5sum: ebbc96c6cdfa41c255a1ba5f2b586bd1
SHA1: e62e0eb858603115815f99cfde7e1de37a99b5fb
SHA256: 30b81431c058e05d7cf618f351180b67c63896e5405e87d648b64581c031e264
SHA512: 35db50164c1ded09a82829743d51c6d71e8c05ea4a2e8677f31c6647efcac40f34ff7c5026b8d372f4ba72bd9c3a9bd4153c448da191c2a7eb038d23ab423e72
Homepage: https://cran.r-project.org/package=VLTimeCausality
Description: CRAN Package 'VLTimeCausality' (Variable-Lag Time Series Causality Inference Framework)
 A framework to infer causality on a pair of time series of real numbers
 based on variable-lag Granger causality and transfer entropy. Typically,
 Granger causality and transfer entropy have an assumption of a fixed and
 constant time delay between the cause and effect. However, for a
 non-stationary time series, this assumption is not true. For example,
 considering two time series of velocity of person A and person B where B
 follows A. At some time, B stops tying his shoes, then running to catch up
 A. The fixed-lag assumption is not true in this case. We propose a framework
 that allows variable-lags between cause and effect in Granger causality and
 transfer entropy to allow them to deal with variable-lag non-stationary time
 series. Please see Chainarong Amornbunchornvej, Elena Zheleva, and Tanya
 Berger-Wolf (2021) <doi:10.1145/3441452> when referring to this package in
 publications.

Package: r-cran-vmd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcpp, r-cran-ggplot2, r-cran-magrittr, r-cran-reshape2, r-cran-scales, r-cran-r6
Filename: pool/dists/focal/main/r-cran-vmd_0.1.0-1.ca2004.1_all.deb
Size: 126544
MD5sum: eae234e8951dffb363c24881007841d5
SHA1: 7b6a0044e46b51ab7c6fad09fe791da23b4acbc1
SHA256: d0a21a09d8e267a88314b4c6700b6cc2069c66dceb9aaf90cde2fbbb9f9dabb1
SHA512: ec8c25d9098fb45441e38dac1b12b8064b7c8701c2737a643f3526637e698df1e1666972eb671ee900e78187566695bb5538251e8b885e6e9980e07aac6c765d
Homepage: https://cran.r-project.org/package=vmd
Description: CRAN Package 'vmd' (Variational Mode Decomposition)
 A port and extension to the original 'Matlab' code made public by
 Dragomiretskiy and Zosso, for conducting Variational Mode Decomposition
 (VMD) as described within their 2013 publication (publication:
 <doi:10.1109/TSP.2013.2288675>, source: <https://goo.gl/fJH1d5>).

Package: r-cran-vmdml
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-vmdecomp, r-cran-forecast, r-cran-e1071, r-cran-randomforest, r-cran-nnfor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vmdml_0.1.1-1.ca2004.1_all.deb
Size: 52684
MD5sum: 1ceabb111b2bd4b694dc836af617613e
SHA1: 0f9b5c1628334f6686d659077152f9948cf4a79d
SHA256: 568951d138d947bdd6b8ee491d25651d50b4987888d2f2d7953d0e7d9cdda22c
SHA512: 02b8d3ecea8a0c36d5299e7ca8982fbafcaab006857c2c7ebc1e12ebf85f5c99861d865b65ee4534b9319a8794075e8cbb17fd6ae71d37c4ff332410b644a36a
Homepage: https://cran.r-project.org/package=VMDML
Description: CRAN Package 'VMDML' (Variational Mode Decomposition Based Machine Learning Models)
 Application of Variational Mode Decomposition based different Machine
 Learning models for univariate time series forecasting. For method details
 see (i) K. Dragomiretskiy and D. Zosso (2014)
 <doi:10.1109/TSP.2013.2288675>; (ii) Pankaj Das (2020)
 <http://krishi.icar.gov.in/jspui/handle/123456789/44138>.

Package: r-cran-vmdtdnn
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-forecast, r-cran-nnfor, r-cran-vmdecomp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vmdtdnn_0.1.1-1.ca2004.1_all.deb
Size: 26724
MD5sum: 3e736eecd1c8cee5b89b36a905a00e4b
SHA1: 8a9cab2d4034e993bac62a323b80512fd8bd66a9
SHA256: f58bb1c6fe071494a497a94f3e416af399b8cb2017722d0d8bd91092b9d1b2a4
SHA512: c2166e86403ae1d4e5d0654aef4219c4236cea416d2530a9bb1135abae03e5846f67e7896a905463231fe206c5ed2e698f1bb9b36e0c44a18bc44a68fb830f79
Homepage: https://cran.r-project.org/package=vmdTDNN
Description: CRAN Package 'vmdTDNN' (VMD Based Time Delay Neural Network Model)
 Forecasting univariate time series with Variational Mode Decomposition (VMD)
 based time delay neural network models.For method details see Konstantin,
 D.and Dominique, Z. (2014). <doi:10.1109/TSP.2013.2288675>.

Package: r-cran-vmeasur
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1754
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-purrr, r-cran-ggpubr, r-cran-imager, r-cran-av, r-cran-dplyr, r-cran-rlang, r-cran-foreach, r-cran-magrittr, r-cran-pracma, r-cran-crayon, r-cran-svdialogs, r-cran-pdftools, r-cran-dofuture, r-cran-progressr, r-cran-future, r-cran-scales
Filename: pool/dists/focal/main/r-cran-vmeasur_0.1.4-1.ca2004.1_all.deb
Size: 1152052
MD5sum: 206f2fd2ea75f0d6124730eaa08471a2
SHA1: df3039e4ec9fb516b7913302e04c53d1015844e5
SHA256: 21ec9651ddcc6b8b96e9178c13506baff6d9c1fd3c505e53d551a3c56e4d6c75
SHA512: 2033e4dcec24b1cf961f251a42b84e490ebd9bbb04e7bd03597b31c150471a08ef4c2ecb4161ca62d9a35c8df607bdcad3fa2b16284f579708e08e7e8f08b1a3
Homepage: https://cran.r-project.org/package=vmeasur
Description: CRAN Package 'vmeasur' (Quantify the Contractile Nature of Vessels Monitored under anOperating Microscope)
 A variety of tools to allow the quantification of videos of the lymphatic
 vasculature taken under an operating microscope. Lymphatic vessels that have
 been injected with a variety of blue dyes can be tracked throughout the
 video to determine their width over time. Code is optimised for efficient
 processing of multiple large video files. Functions to calculate
 physiologically relevant parameters and generate graphs from these values
 are also included.

Package: r-cran-vmr
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1240
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ssh
Filename: pool/dists/focal/main/r-cran-vmr_0.0.6-1.ca2004.1_all.deb
Size: 1004344
MD5sum: 1727026fc95862e62c625a16ee8ff503
SHA1: d5d7731975d93426ebe53bb249bd882814eb06a4
SHA256: 92c6321be1a76a655578a1c5db51bbe409ebecc4b5451b0fb0162d1ccdd22962
SHA512: 77baa153b15f8cc6bae75f8c5b4bf0073bc0b85b8fab8e9bd2f123ad9b7a0ac89b41969454e9099c94c3574d25d60b2b1705b15dd1a1679922d1e190f6f39937
Homepage: https://cran.r-project.org/package=vmr
Description: CRAN Package 'vmr' (Virtual Machines for R)
 Manage, provision and use Virtual Machines pre-configured for R.  Develop,
 test and build package in a clean environment.  'Vagrant' tool and a
 provider (such as 'Virtualbox') have to be installed.

Package: r-cran-vmsae
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1604
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-gridextra, r-cran-sf, r-cran-tidyr, r-cran-reticulate, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-vmsae_0.1.1-1.ca2004.1_all.deb
Size: 1269180
MD5sum: b8914bd537b249c855ab95c5861f3d7a
SHA1: bb95a12319eedd2286810935ec84f45823e8a72b
SHA256: 372195476e68e18844614eecfad8c13dcaad2b4302a487090b72af29c3ee6450
SHA512: e3e2f7e6cdfb96ddffbe55b13a0f74bae4b8e348aa575b5f2c936fe4109df462dd0057fe97004630448da9238e31fd5f14a782f8d2ee0967d2e98d90667b6ea1
Homepage: https://cran.r-project.org/package=vmsae
Description: CRAN Package 'vmsae' (Variational Multivariate Spatial Small Area Estimation)
 Variational Autoencoded Multivariate Spatial Fay-Herriot models are designed
 to efficiently estimate population parameters in small area estimation. This
 package implements the variational generalized multivariate spatial
 Fay-Herriot model (VGMSFH) using 'NumPyro' and 'PyTorch' backends, as
 demonstrated by Wang, Parker, and Holan (2025)
 <doi:10.48550/arXiv.2503.14710>. The 'vmsae' package provides utility
 functions to load weights of the pretrained variational autoencoders (VAEs)
 as well as tools to train custom VAEs tailored to users specific
 applications.

Package: r-cran-vntrs
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-trust
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vntrs_0.1.1-1.ca2004.1_all.deb
Size: 62276
MD5sum: ecec04713d58b60837d0d4f68f2bc535
SHA1: f2c48e1c054fa230ac67b900a5c0f7c03c317922
SHA256: b2acd5db30cd1127b734bd5f304de3aa553b5c2e106e05b3fcfa3388fb381fa6
SHA512: a79fa3285387874461272bf650fc7642b00c43e27c6c644bdb2345db052fe44fde22937fc59adead81c422ddb192ba55eabc0482155e556d3ffd40980dcea3b8
Homepage: https://cran.r-project.org/package=vntrs
Description: CRAN Package 'vntrs' (Variable Neighborhood Trust Region Search)
 An implementation of the variable neighborhood trust region algorithm
 Bierlaire et al. (2009) "A Heuristic for Nonlinear Global Optimization"
 <doi:10.1287/ijoc.1090.0343>.

Package: r-cran-vocaldia
Architecture: all
Version: 0.8.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 255
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-igraph, r-cran-foreign
Filename: pool/dists/focal/main/r-cran-vocaldia_0.8.4-1.ca2004.1_all.deb
Size: 219740
MD5sum: 7d510ef5d0f8913379da25c56140d826
SHA1: b6cbf49260dfc73329f37e207dc885b062ae7d14
SHA256: 2753e79632a071acc7c8850c22c64597ce950f5a3ab8684625d9473add156274
SHA512: d80f7a6b2fce69324836e519f02830c42dbf7ad66f3c0ee1976e37ab08b8d0ee486c1f2087e95c4a6942918d228603ea24396f1bbe97258bee18d20f1f432e11
Homepage: https://cran.r-project.org/package=vocaldia
Description: CRAN Package 'vocaldia' (Create and Manipulate Vocalisation Diagrams)
 Create adjacency matrices of vocalisation graphs from dataframes containing
 sequences of speech and silence intervals, transforming these matrices into
 Markov diagrams, and generating datasets for classification of these
 diagrams by 'flattening' them and adding global properties (functionals)
 etc.  Vocalisation diagrams date back to early work in psychiatry (Jaffe and
 Feldstein, 1970) and social psychology (Dabbs and Ruback, 1987) but have
 only recently been employed as a data representation method for machine
 learning tasks including meeting segmentation (Luz, 2012)
 <doi:10.1145/2328967.2328970> and classification (Luz, 2013)
 <doi:10.1145/2522848.2533788>.

Package: r-cran-voi
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4922
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mgcv, r-cran-earth, r-cran-mvtnorm, r-cran-progress, r-cran-dbarts, r-cran-posterior, r-cran-ggplot2, r-cran-gridextra, r-cran-matrix
Suggests: r-cran-testthat, r-cran-bcea, r-cran-splancs, r-cran-sf, r-cran-knitr, r-cran-rmarkdown, r-cran-rjags, r-cran-truncnorm, r-cran-scales, r-cran-dplyr, r-cran-heemod
Filename: pool/dists/focal/main/r-cran-voi_1.0.3-1.ca2004.1_all.deb
Size: 3928204
MD5sum: 67e0a6a2939eb2ece236bca6771cf10e
SHA1: 9380cb1df19588ccc20f6ee1a124210ac8430938
SHA256: e44d0dab49d0b01225758fc39e85c2579289e7fe415a5d805a9ce1e0ed89e64f
SHA512: a2c793defc7fa7a544e4b7ac70ddd8fff7f38f3cbabe09cd2fcb7508fb9f1da4b400532116fd7bdf9b798c7049fbc65be0e2f6236642ae4d0ba1ea2b77ab11cb
Homepage: https://cran.r-project.org/package=voi
Description: CRAN Package 'voi' (Expected Value of Information)
 Methods to calculate the expected value of information from a
 decision-analytic model.  This includes the expected value of perfect
 information (EVPI), partial perfect information (EVPPI) and sample
 information (EVSI), and the expected net benefit of sampling (ENBS).  A
 range of alternative computational methods are provided under the same user
 interface.  See Heath et al. (2024) <doi:10.1201/9781003156109>, Jackson et
 al. (2022) <doi:10.1146/annurev-statistics-040120-010730>.

Package: r-cran-voice
Architecture: all
Version: 0.4.21-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-r.utils, r-cran-reticulate, r-cran-seewave, r-cran-tibble, r-cran-tidyselect, r-cran-tuner, r-cran-wrassp, r-cran-zoo
Suggests: r-cran-gm, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-voice_0.4.21-1.ca2004.1_all.deb
Size: 319288
MD5sum: 8cd28db082ff5255c4138a7b8142dcba
SHA1: 8aad4c6590fef6d47081f18c1b20158fb00ce1a9
SHA256: 70f6534a12990fec761c12ee92d57170bea38fa5f9a73b52a7b0ce611e48617d
SHA512: 4209df9710707f4193ea3f9823ebf4f71edf961f2f5efcc22064db7bbd13a370b88dc76e045d0d9440f922e84aec02bb39d5b2d72db1bf42d580ba3263fe82b3
Homepage: https://cran.r-project.org/package=voice
Description: CRAN Package 'voice' (Tools for Voice Analysis, Speaker Recognition and Mood Inference)
 Tools for voice analysis, speaker recognition and mood inference.  Gathers
 'R' and 'Python' tools to solve problems concerning voice and audio in
 general.

Package: r-cran-voicer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3783
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-doparallel, r-cran-dt, r-cran-foreach, r-cran-fsa, r-cran-ggplot2, r-cran-ggpubr, r-cran-ggthemes, r-cran-gridextra, r-cran-gtable, r-cran-kableextra, r-cran-knitr, r-cran-mass, r-cran-phia, r-cran-plotly, r-cran-seewave, r-cran-tuner, r-cran-soundgen, r-cran-rcompanion, r-cran-rlang, r-cran-rmarkdown, r-cran-shiny, r-cran-shinyfiles, r-cran-shinyjs, r-cran-stringr, r-cran-xfun
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-voicer_0.1.0-1.ca2004.1_all.deb
Size: 2934444
MD5sum: d000d2b2b09a5a0495bcd8065942d3fe
SHA1: b1872913c0ff266698e8058c1b15f78695370b0e
SHA256: 36fba59d08c9e867263c7686c5df67ff81638f708fe82947ff332525587ca216
SHA512: 03a04bac41d97a2384d628c089cdf1c1e5d66eddecb980f275d61fc4373d305caf512c4f5cf7f46ebe26d7a8d021c3f8f1a327dfca431ee49d8bd94b8c95d716
Homepage: https://cran.r-project.org/package=voiceR
Description: CRAN Package 'voiceR' (Voice Analytics for Social Scientists)
 Simplifies and largely automates practical voice analytics for social
 science research. This package offers an accessible and easy-to-use
 interface, including an interactive Shiny app, that simplifies the
 processing, extraction, analysis, and reporting of voice recording data in
 the behavioral and social sciences. The package includes batch processing
 capabilities to read and analyze multiple voice files in parallel, automates
 the extraction of key vocal features for further analysis, and automatically
 generates APA formatted reports for typical between-group comparisons in
 experimental social science research. A more extensive methodological
 introduction that inspired the development of the 'voiceR' package is
 provided in Hildebrand et al. 2020 <doi:10.1016/j.jbusres.2020.09.020>.

Package: r-cran-volatilitytrader
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 123
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-magrittr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-volatilitytrader_1.0.1-1.ca2004.1_all.deb
Size: 87396
MD5sum: 4bc1a783aad6f65c1cf46fd37b2823f0
SHA1: bad3e64f40a65b946281e54760c342b40238eb2b
SHA256: 856afe53cdcb87406ab9320f4019ab1715ec369cd3d7e3d7715a0c358e9817c2
SHA512: ed26ebd675d64dd0382643f57360fb0f4dd66f339e3a8caf97b769287acb0e83d59063a6e5f7cda0f4b27d33ce90b58f8c8c222706d13647a32fdd055ec63763
Homepage: https://cran.r-project.org/package=volatilityTrader
Description: CRAN Package 'volatilityTrader' (High Volatility Environment Option Trading Strategies Graphs)
 Trading Strategies for high Option Volatility environment are represented
 here through their Graphs. The graphic indicators, strategies, calculations,
 functions and all the discussions are for academic, research, and
 educational purposes only and should not be construed as investment advice
 and come with absolutely no Liability.  Guy Cohen (“The Bible of Options
 Strategies (2nd ed.)”, 2015, ISBN: 9780133964028).  Zura Kakushadze, Juan A.
 Serur (“151 Trading Strategies”, 2018, ISBN: 9783030027919).  John C. Hull
 (“Options, Futures, and Other Derivatives (11th ed.)”, 2022, ISBN:
 9780136939979).

Package: r-cran-volcano3d
Architecture: all
Version: 2.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4800
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-plotly, r-cran-ggplot2, r-cran-ggpubr, r-cran-htmlwidgets, r-cran-magrittr, r-cran-rfast, r-cran-rlang, r-cran-matrixtests
Suggests: r-bioc-deseq2, r-bioc-edger, r-bioc-limma, r-bioc-qvalue, r-bioc-summarizedexperiment, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-usethis, r-cran-easylabel
Filename: pool/dists/focal/main/r-cran-volcano3d_2.0.9-1.ca2004.1_all.deb
Size: 1967832
MD5sum: 31f485a170705088c315864b757b7395
SHA1: 125ff34d254003916eac26a5f852cd5999997145
SHA256: 3eeb80e623c173122d46db42977a48780fc9f2fd8ddc12ff74df326647e3cf4c
SHA512: 8f150f78610f787684936500028a5763c4391f0823a6ae399b17143355cb7e46748ac16853cd50e10b0198fe6af3c70887afd59114c266fcadb7eb3046cf047a
Homepage: https://cran.r-project.org/package=volcano3D
Description: CRAN Package 'volcano3D' (3D Volcano Plots and Polar Plots for Three-Class Data)
 Generates interactive plots for analysing and visualising three-class high
 dimensional data. It is particularly suited to visualising differences in
 continuous attributes such as gene/protein/biomarker expression levels
 between three groups. Differential gene/biomarker expression analysis
 between two classes is typically shown as a volcano plot. However, with
 three groups this type of visualisation is particularly difficult to
 interpret. This package generates 3D volcano plots and 3-way polar plots for
 easier interpretation of three-class data.

Package: r-cran-volcanoplot
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fmsb, r-cran-dplyr, r-cran-dt, r-cran-ggplot2, r-cran-tidyr, r-cran-shiny, r-cran-purrr
Suggests: r-cran-safetygraphics, r-cran-safetydata
Filename: pool/dists/focal/main/r-cran-volcanoplot_1.0.0-1.ca2004.1_all.deb
Size: 39228
MD5sum: 2e35782546215f65e3b47b267c8bd17e
SHA1: 99d10c056b0a545ff2f5bd6779bc2058302dfbdf
SHA256: c5d8a756078bbe36cca30999b480bb762e6a4f70cb998fd76fe811489b6812b6
SHA512: 2132cb5985737a4981ac0ef7627f4caeec43dba507a53aa1ab2be74b4f1602d5252824776724e523c538e0f3d47680705f8251710617bde44eabafb3efb73938
Homepage: https://cran.r-project.org/package=volcanoPlot
Description: CRAN Package 'volcanoPlot' (Volcano Plot for Clinical Trial Adverse Events)
 Interactive adverse event (AE) volcano plot for monitoring clinical trial
 safety. This tool allows users to view the overall distribution of AEs in a
 clinical trial using standard (e.g. MedDRA preferred term) or custom (e.g.
 Gender) categories using a volcano plot similar to proposal by Zink et al.
 (2013) <doi:10.1177/1740774513485311>. This tool provides a stand-along
 shiny application and flexible shiny modules allowing this tool to be used
 as a part of more robust safety monitoring framework like the Shiny app from
 the 'safetyGraphics' R package.

Package: r-cran-volker
Architecture: all
Version: 3.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1573
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-lifecycle, r-cran-tibble, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-ggplot2, r-cran-scales, r-cran-base64enc, r-cran-purrr, r-cran-magrittr, r-cran-skimr, r-cran-broom, r-cran-knitr, r-cran-kableextra, r-cran-rmarkdown, r-cran-psych, r-cran-car, r-cran-effectsize, r-cran-heplots
Suggests: r-cran-tidyverse, r-cran-remotes, r-cran-usethis, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-volker_3.1.0-1.ca2004.1_all.deb
Size: 1005656
MD5sum: 2ab5f2f9b129cb99dd193b9ce1eed151
SHA1: d669d89b2cc0462bf64280c7869bc97ba2395176
SHA256: 777e5b3ad2b33cf6ab3273fcadcd3c8247a4a58d88f983f2b4dee6ade5b359e0
SHA512: 014add109e672d7b72a9825bbb374c76a7cfa9943ea0fb5ba5765656b37f3866bc0594633de5372383686f47063cf13c29c97f402d5d8239202328879dde0c5a
Homepage: https://cran.r-project.org/package=volker
Description: CRAN Package 'volker' (High-Level Functions for Tabulating, Charting and ReportingSurvey Data)
 Craft polished tables and plots in Markdown reports.  Simply choose whether
 to treat your data as counts or metrics, and the package will automatically
 generate well-designed default tables and plots for you.  Boiled down to the
 basics, with labeling features and simple interactive reports.  All
 functions are 'tidyverse' compatible.

Package: r-cran-volleystat
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 872
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-dplyr, r-cran-tidyr, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-diverse, r-cran-geosphere, r-cran-foreign, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-volleystat_0.2.0-1.ca2004.1_all.deb
Size: 689248
MD5sum: 1e2a0abcfb3b33d90c699e2fffe75b56
SHA1: 7718c35be1e0b5ec86be961c0b2a6705cb1dbaa7
SHA256: f2b7d90baf9c522fc9ebfa2a0cde429f5e85a689a706fafbe20e6815b6e86f00
SHA512: 2f4a704491e94623f08bd26f5170a799e8c2ebe6ef86a0e9aec3fb6518e2589fca402177766244f15f8d8be540470c7a6fdaf9ac4cdced9fd5ad22e2b694b83f
Homepage: https://cran.r-project.org/package=volleystat
Description: CRAN Package 'volleystat' (Detailed Statistics on Volleyball Matches)
 Volleyball match statistics of the German volleyball first division league
 (seasons 2013/2014 to 2018/2019). The data has been collected from the
 official volleyball first division homepage (<www.volleyball-bundesliga.de>)
 and contains information on teams, staff, sets, matches, and player-in-match
 statistics (extracted automatically from the official match reports).

Package: r-cran-volrisk
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-arrow, r-cran-dosnow, r-cran-foreach, r-cran-progress, r-cran-data.table, r-cran-stringr, r-cran-rstudioapi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-volrisk_0.1.0-1.ca2004.1_all.deb
Size: 57752
MD5sum: 65072a9127423ca510a9935bd3bac669
SHA1: d058ed3955299e16207bee51fbc1436dedb094c4
SHA256: c608c4e531a1ad9f45dee4d1228f86acf59a303c7b2185f9e95f11da52607b99
SHA512: e9d1f5bfdecde27aa72dda630e71edbbdce58de311239132a50ad5a15d5da76d71b80013f636fc41e0f461040d097b856473e8d894f42f6a062cc7e34635fae0
Homepage: https://cran.r-project.org/package=volrisk
Description: CRAN Package 'volrisk' (Simulation of Life Reinsurance with Profit Commission)
 Simulates and evaluates stochastic scenarios of death and lapse events in
 life reinsurance contracts with profit commissions. The methodology builds
 on materials published by the Institute of Actuaries of Japan
 <https://www.actuaries.jp/examin/textbook/pdf/modeling.pdf>. A paper
 describing the detailed algorithms will be published by the author within a
 few months after the initial release of this package.

Package: r-cran-volumodel
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3928
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fields, r-cran-ggplot2, r-cran-ggtext, r-cran-metr, r-cran-modeva, r-cran-rangebuilder, r-cran-terra, r-cran-viridislite, r-cran-sf
Suggests: r-cran-testthat, r-cran-nlme, r-cran-knitr, r-cran-covr, r-cran-gridextra, r-cran-lattice, r-cran-rmarkdown, r-cran-rnaturalearth, r-cran-rnaturalearthdata, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-volumodel_0.2.2-1.ca2004.1_all.deb
Size: 2808472
MD5sum: f347adf6b7e429060ad2c49ef36c202d
SHA1: f3497d1756592b1a14b43599c9f610d2fb8c17d8
SHA256: 67c5edcd7f79ab66375fbfe2533ad01976fcbd87cc0a36fee0927bad15fb844f
SHA512: 44e202d57b2aec2204f9a4f7bb4549de5a83f8466f6f02b99aa82ef52113c4e88a34c6254d18b921f275e341f59e2b2d1337746e0efd8abb327115dcbc20a76c
Homepage: https://cran.r-project.org/package=voluModel
Description: CRAN Package 'voluModel' (Modeling Species Distributions in Three Dimensions)
 Facilitates modeling species' ecological niches and geographic distributions
 based on occurrences and environments that have a vertical as well as
 horizontal component, and projecting models into three-dimensional
 geographic space. Working in three dimensions is useful in an aquatic
 context when the organisms one wishes to model can be found across a wide
 range of depths in the water column. The package also contains functions to
 automatically generate marine training model training regions using machine
 learning, and interpolate and smooth patchily sampled environmental rasters
 using thin plate splines.  Davis Rabosky AR, Cox CL, Rabosky DL, Title PO,
 Holmes IA, Feldman A, McGuire JA (2016) <doi:10.1038/ncomms11484>.  Nychka
 D, Furrer R, Paige J, Sain S (2021) <doi:10.5065/D6W957CT>.  Pateiro-Lopez
 B, Rodriguez-Casal A (2022) <https://CRAN.R-project.org/package=alphahull>.

Package: r-cran-voronoibiomedplot
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 70
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggrepel, r-cran-deldir
Filename: pool/dists/focal/main/r-cran-voronoibiomedplot_0.1.1-1.ca2004.1_all.deb
Size: 40884
MD5sum: 955e04106d4f6e9e115f08b5f9dfa3c7
SHA1: 3427b1040692873202fca1a4dc1707a0b118bbf3
SHA256: 3615dd1f3d149e001b448d1347c99cb9f0bdfdbda39523473f7e248c3e412d0d
SHA512: f4631d997d8d085b31027d55dbfd94f567503d6d6b03e36c558223619af8d1dec27b9845fb5946a3ee570e44e4b6aa2f3ad6591351a6aea1265887bca511c656
Homepage: https://cran.r-project.org/package=VoronoiBiomedPlot
Description: CRAN Package 'VoronoiBiomedPlot' (Projection Visualization Plots for Dimensionally Reduced Data)
 Creates visualization plots for 2D projected data including ellipse plots,
 Voronoi diagram plots, and combined ellipse-Voronoi plots. Designed to
 visualize class separation in dimensionally reduced data from techniques
 like principal component analysis (PCA), partial least squares discriminant
 analysis (PLS-DA) or others. For more details see Lotsch and Ultsch (2024)
 <doi:10.1016/j.imu.2024.101573>.

Package: r-cran-voronoitreemap
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 392
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.tree, r-cran-rlang, r-cran-htmlwidgets, r-cran-shiny, r-cran-shinyjs, r-cran-dt
Suggests: r-cran-rmarkdown, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-voronoitreemap_0.2.0-1.ca2004.1_all.deb
Size: 129016
MD5sum: dc86765338b64a24c899deaa3cf460fe
SHA1: 94dfbbdd0de91e38456f6e0c78e954e290ec020e
SHA256: 8ecc26d3b6393ed679cedc3f2f6d52720b1417fa253b7b49de371c840130d18c
SHA512: 73ff81d5bcd56b3c415c1ef358fb0062fca0b2f1037cc236954f366f16371bbfa6337c1a42f6f809aec5fc2e1409bca616b6d80c2b812a4a19d2f0bef379e45a
Homepage: https://cran.r-project.org/package=voronoiTreemap
Description: CRAN Package 'voronoiTreemap' (Voronoi Treemaps with Added Interactivity by Shiny)
 The d3.js framework with the plugins d3-voronoi-map, d3-voronoi-treemap and
 d3-weighted-voronoi are used to generate Voronoi treemaps in R and in a
 shiny application.  The computation of the Voronoi treemaps are based on
 Nocaj and Brandes (2012) <doi:10.1111/j.1467-8659.2012.03078.x>.

Package: r-cran-vorteksexport
Architecture: all
Version: 0.1.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vorteksexport_0.1.8-1.ca2004.1_all.deb
Size: 15284
MD5sum: 1742c47b932e530a0d1763e1d8077d5a
SHA1: f8d888de502bb2a9e69fb973a6f444dfa343dab9
SHA256: 7c556e475f61401a359b71fddcccb3d4764804a09aaafb43a7a6829fba9159bf
SHA512: 049bb5c332b10944c24f1eda37083856d3cf98d75b49042d842d560a10558a5f2ae8ad0b531aa04b249c087dc87f3ccd56a3405941bed0ea96938758ad2943e9
Homepage: https://cran.r-project.org/package=VorteksExport
Description: CRAN Package 'VorteksExport' (Export Dataframes to 'Vorteks' Software)
 Export dataframes and automatically start importing into 'Vorteks'. 'Vorteks
 Visualization Environment (VVE)' and 'Vorteks Data Manager (VDM)' will start
 an import. 'Vorteks Processing Environment (VPE)' will start a new project
 and add a file reader with the dataframe file already set.  Warning: WINDOWS
 ONLY. Requires installation of 'Vorteks' software.

Package: r-cran-vortexrdata
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4693
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vortexrdata_1.0.5-1.ca2004.1_all.deb
Size: 1190416
MD5sum: b17abaa7daa97220628aba5e92bcab38
SHA1: 7d245082c1d75104141083fd00e2fb0bf63e8b73
SHA256: 7a9db37d1c01e2f3734783fb1b1175f98616bcd566f12f908d1123f87665a07f
SHA512: 2742cc1bd024a96c0b20d85519c913e8056a15680dfe9ac14706e9f768ac31593c014bfa0831f0e463952efd46c7d0fdd5a31ff9654989ad1711609c84231622
Homepage: https://cran.r-project.org/package=vortexRdata
Description: CRAN Package 'vortexRdata' (Example Data for R Package 'vortexR')
 Contains selected data from two publications, Campbell 'et' 'al'. (2016)
 <DOI:10.1080/14486563.2015.1028486> and 'Pacioni' 'et' 'al'. (2017)
 <DOI:10.1071/PC17002>.  The data is provided both as raw outputs from the
 population viability analysis software 'Vortex' and packaged as R objects.
 The R package 'vortexR' uses the raw data provided here to illustrate its
 functionality of parsing raw 'Vortex' output into R objects.

Package: r-cran-voson.tcn
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-openssl, r-cran-progress, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-voson.tcn_0.5.0-1.ca2004.1_all.deb
Size: 68712
MD5sum: f472665ce5a10a39c60d70d4158ef903
SHA1: 335782489e9ceb03225d1edf252fa1ac32f6f6b9
SHA256: 57527b17e4eee68a02578a3d7855825d6f4033244a3863c6ad39635fde19381c
SHA512: b6e9fa84deaa1201a5bf8523ade6ceeea7eac7bcc4ea376907bb95b7f7bc3247e6546328f4d464772b17a62fee2d7a8c9f8f708e4498f18bd5c9e04df98f66fa
Homepage: https://cran.r-project.org/package=voson.tcn
Description: CRAN Package 'voson.tcn' (Twitter Conversation Networks and Analysis)
 Collects tweets and metadata for threaded conversations and generates
 networks.

Package: r-cran-vosondash
Architecture: all
Version: 0.5.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 722
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-httpuv, r-cran-httr, r-cran-igraph, r-cran-lattice, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-shiny, r-cran-snowballc, r-cran-systemfonts, r-cran-syuzhet, r-cran-textutils, r-cran-tm, r-cran-vosonsml, r-cran-wordcloud
Suggests: r-cran-dplyr, r-cran-dt, r-cran-htmlwidgets, r-cran-rtweet, r-cran-shinydashboard, r-cran-shinyjs, r-cran-visnetwork
Filename: pool/dists/focal/main/r-cran-vosondash_0.5.7-1.ca2004.1_all.deb
Size: 244004
MD5sum: 98395fa9f4f5fab6674bcdfdd11d74b4
SHA1: a552ae61e0b703470bfd0273968c2e3e39dba4da
SHA256: 5dc480ec2bcd54324329c9ca571827f16ce8de6f67f54e5fb486835215680846
SHA512: 1d24a98853188c4a8429e028494e85507720dcc3973822898ca224db3b39c19f5ab398b32b47111366ddaf27d28f5b2143026f3c4f678a7846a5ca62cd4da276
Homepage: https://cran.r-project.org/package=VOSONDash
Description: CRAN Package 'VOSONDash' (User Interface for Collecting and Analysing Social Networks)
 A 'Shiny' application for the interactive visualisation and analysis of
 networks that also provides a web interface for collecting social media data
 using 'vosonSML'.

Package: r-cran-vosonsml
Architecture: all
Version: 0.32.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2022
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-textutils, r-cran-tidyr, r-cran-tibble
Suggests: r-cran-httpuv, r-cran-igraph, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-robotstxt, r-cran-rtweet, r-cran-rvest, r-cran-stopwords, r-cran-testthat, r-cran-tidytext, r-cran-urltools, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-vosonsml_0.32.7-1.ca2004.1_all.deb
Size: 1357888
MD5sum: d5934f0b425e37eddbaf1e48e9f34f52
SHA1: a519fe61a2c7bc4d87f3331c67ba22bbfbfb958d
SHA256: 106b6b146edde2cc2a6a7d4108297caaf60e82e63b7c29e25feff9086db1908e
SHA512: c7f10b5734c50f4d0a2ea60ef3e02a330fbaec3ed0bd2ed842d5f0be9721a1847213ff24ff441b987abf116f60f407dbac064e755c3edea79c656d6b41d0d974
Homepage: https://cran.r-project.org/package=vosonSML
Description: CRAN Package 'vosonSML' (Collecting Social Media Data and Generating Networks forAnalysis)
 A suite of easy to use functions for collecting social media data and
 generating networks for analysis. Supports Twitter, YouTube, Reddit and web
 site data sources.

Package: r-cran-voss
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-fields
Filename: pool/dists/focal/main/r-cran-voss_0.1.5-1.ca2004.1_all.deb
Size: 24464
MD5sum: 8ec5a0a44c5a294c0728966e05e18bc8
SHA1: 0ca907775287d7f3925ddcf10baf3892ae36752a
SHA256: 09d18d87e78fa3d4370cbeb3a02d7c9b6cdf16fbe4d90c06f5144ca9df197e2e
SHA512: ca8b18b167d8effb6dd3ded5c431ba10ecca89226e42bfac0671260ec9f32ce6552bf72dc7968a881392d01eeb358de5d3711fbd6384fec94f8faa64fe25c9f8
Homepage: https://cran.r-project.org/package=Voss
Description: CRAN Package 'Voss' (Generic Voss Algorithm (Random Sequential Additions))
 Generating realizations of a fractal Brownian function on uniform 1D & 2D
 grid with classic and generic versions of the Voss algorithm (random
 sequential additions).

Package: r-cran-vote
Architecture: all
Version: 2.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formattable, r-cran-knitr, r-cran-data.table, r-cran-fields
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-vote_2.4-4-1.ca2004.1_all.deb
Size: 326196
MD5sum: 679c4f92ee757547d85470e5f4fe3385
SHA1: a12209ae16f30339d781053f43762774127b361f
SHA256: 92b7a6b076f6ae9e2aab305519a1703a255a9f7d49d0d16fb6ee6b60cadae19b
SHA512: 697e3afe52ad9205aa684ea6f1ff43bda3ed371aefcb4237d0d88b8b61e2fff4645e75535645b71a72289dabba443347e4a8c198171992a08e1128e8e0d0d668
Homepage: https://cran.r-project.org/package=vote
Description: CRAN Package 'vote' (Election Vote Counting)
 Counting election votes and determining election results by different
 methods, including the single transferable vote or ranked choice, approval,
 score, plurality, condorcet and two-round runoff methods (Raftery et al.,
 2021 <doi:10.32614/RJ-2021-086>).

Package: r-cran-voteogram
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 485
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-scales, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-voteogram_0.3.2-1.ca2004.1_all.deb
Size: 317132
MD5sum: 623a2fb5e999e1035f4ec35985dbe09a
SHA1: 9257b320b9b406d0a8001241da3346e5b14471c7
SHA256: 5a98978cd960557dcd90f348899a0cb102f003f3c619ecfa1138ff3435fe579e
SHA512: 94e5f2d91b6352c9e26ec65c48a459f1a8ca15fa0c456cb23ef52dd382cd85685141add308143277879c7eb544d00cfb70554f455fb85a76ff224765e6001494
Homepage: https://cran.r-project.org/package=voteogram
Description: CRAN Package 'voteogram' (United States House and Senate Voting Cartogram Generators)
 'ProPublica' <https://projects.propublica.org/represent/> makes United
 States Congress member votes available and has developed their own unique
 cartogram to visually represent this data. Tools are provided to retrieve
 voting data, prepare voting data for plotting with 'ggplot2', create vote
 cartograms and theme them.

Package: r-cran-votesim
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 85
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-truncnorm, r-cran-extradistr, r-cran-genord
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-votesim_0.1.1-1.ca2004.1_all.deb
Size: 56092
MD5sum: a110a231db333df2457824fa9ef7590c
SHA1: 8b61c2093c51b76cedd9213ef37ec25f3a3c6121
SHA256: e5323d35314d007475be0727709977e901b96d67ca3711feb284e6e29d4aa7f5
SHA512: 44e4aa273e54c758c9a06504740a863a7b8a65e01cb874cb734a5a0c6c64b771ca034625ab34283888744a86e1008a2346cd610e242e92c799408e21b9813930
Homepage: https://cran.r-project.org/package=voteSim
Description: CRAN Package 'voteSim' (Generate Simulated Data for Voting Rules using Evaluations)
 Provide functions to generate random simulated evaluations on candidates by
 voters for evaluation-based elections. Functions are based on several models
 for continuous or discrete evaluations.

Package: r-cran-votesmart
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-snakecase, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-conflicted, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-votesmart_0.1.2-1.ca2004.1_all.deb
Size: 107652
MD5sum: 7c51b31c1b44b0b4cfde66e2265eccbe
SHA1: c783eb2dcdefbcd8518d38e42cd07c841251c201
SHA256: 683095ae1d5bc6a7f4ac69ca6400807ebcf71dae4ba31b164a00312d2a304c9f
SHA512: bec99db44dce51456d7d53e73c05c4e72ed4e4567afdae7dce8b2325c5b396017c4a962ab6f7f43c9fde2838b1cabcc376a907b17a1037d54981c25717455366
Homepage: https://cran.r-project.org/package=votesmart
Description: CRAN Package 'votesmart' (Wrapper for the Project 'VoteSmart' API)
 An R interface to the Project 'VoteSmart'<https://justfacts.votesmart.org/>
 API.

Package: r-cran-votesys
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 197
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-gtools, r-cran-matrix
Filename: pool/dists/focal/main/r-cran-votesys_0.1.1-1.ca2004.1_all.deb
Size: 170880
MD5sum: 578a32c344d372ca0097c46453a80410
SHA1: ba8fec2651a0301d4c1309caa9136b94c6685850
SHA256: 9e78335d06a35194ea182481c7ed15e2e6067d54db84d65bfe0168881338df9f
SHA512: f5eb6441e3a3bf913a1d4cd672a6028d9ee2e8edd97327b9ac9e2b9f9edf66dac19b1ced9c0e3286add70675df3d58cac42a38ad9adf9689ec3a9abb89e8aa3c
Homepage: https://cran.r-project.org/package=votesys
Description: CRAN Package 'votesys' (Voting Systems, Instant-Runoff Voting, Borda Method, VariousCondorcet Methods)
 Various methods to count ballots in voting systems are provided.  Functions
 to check validity of ballots are also provided to ensure flexibility.

Package: r-cran-vottrans
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quadprog
Filename: pool/dists/focal/main/r-cran-vottrans_1.0-1.ca2004.1_all.deb
Size: 25964
MD5sum: 908b60aff64150e176ea59ce11804385
SHA1: 67c6f75cb540b8658a06a1832a570ec5847fa84b
SHA256: 8911e8c544aabf180df6196163766db53160c2254603df477f9d7bb42dbedd17
SHA512: c9dff4115df6f0f02e1291dd5dc091231593f861acf80a6f704f13c9ae4cc853cf0be78755fb8d301fbd492e7300c9496e4b22a7b3aec14f4f4acb1daaf538e1
Homepage: https://cran.r-project.org/package=vottrans
Description: CRAN Package 'vottrans' (Voter Transition Analysis)
 Calculates voter transitions comparing two elections, using the function
 solve.QP() in package 'quadprog'.

Package: r-cran-vov
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-glue, r-cran-htmltools
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-vov_0.1.2-1.ca2004.1_all.deb
Size: 147448
MD5sum: 0f18c37adeb2de31d56fbc0a4a666e25
SHA1: bdd4058c76a3ab5a68d48547bb7f24a3337f9c58
SHA256: 2a54d900147aac470a28fb19d7f43e2cb9232138f40349a3ea98f7ca35ef20fd
SHA512: aae3ba09d0aec2975e3c81088ac956021411cda90691dcfe78b5f0d7fb73b4a2bed8700832125f1c367ac856811725d849216ca61606f3aa0ba742a76dcc906e
Homepage: https://cran.r-project.org/package=vov
Description: CRAN Package 'vov' (CSS Animations for 'shiny' Elements)
 A wrapper around a CSS library called 'vov.css', intended for use in 'shiny'
 applications. Simply wrap a UI element in one of the animation functions to
 see it move.

Package: r-cran-vowels
Architecture: all
Version: 1.2-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vowels_1.2-2-1.ca2004.1_all.deb
Size: 107216
MD5sum: 079338b635e09e0e2fdfbee3892fb5f6
SHA1: 25ff467fc7628cf5893d7d055300f581ad741e16
SHA256: adff6f7fcc52fdae487903d7b17d876a261b09d038848de79498303c51b0628e
SHA512: b15706c614444e468969c2300c4ec471d35f9ab9a0c92a7dd95bb510a2fcfdc5760829371b2bd7fb6578727164776cf39b6437cdfb5b733b1501f7f326b858c8
Homepage: https://cran.r-project.org/package=vowels
Description: CRAN Package 'vowels' (Vowel Manipulation, Normalization, and Plotting)
 Procedures for the manipulation, normalization, and plotting of phonetic and
 sociophonetic vowel formant data.  vowels is the backend for the NORM
 website.

Package: r-cran-voxel
Architecture: all
Version: 1.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv, r-cran-gamm4, r-cran-oro.nifti, r-cran-ggplot2, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-voxel_1.3.5-1.ca2004.1_all.deb
Size: 209188
MD5sum: 15bf61dfe67f40555604c179830d275b
SHA1: 52d3dfe4ba5f4c2058f70d37cd3a26e7da4af1ec
SHA256: 0a4e55df6d90015465b3f2f8eb19b96c29ca7ac38dcac1455b4f759fbc71254b
SHA512: 8c52d5b5ea55bd6f420dba6d69349b6f650ee6e23048ef03ed7ad32b935f9dc220010b4e6d0951181d50a12fcc4fd9413b0225b8d54f580bc8abaf9078aa7389
Homepage: https://cran.r-project.org/package=voxel
Description: CRAN Package 'voxel' (Mass-Univariate Voxelwise Analysis of Medical Imaging Data)
 Functions for the mass-univariate voxelwise analysis of medical imaging data
 that follows the NIfTI <http://nifti.nimh.nih.gov> format.

Package: r-cran-voxr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4563
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-fnn, r-cran-rfast, r-cran-circular, r-cran-dplyr, r-cran-fastcluster, r-cran-geometry, r-cran-raster, r-cran-rgl
Filename: pool/dists/focal/main/r-cran-voxr_1.0.0-1.ca2004.1_all.deb
Size: 1589064
MD5sum: 8b1266371b81fae3e153e21b783d2771
SHA1: ce91a302fd94a3c3c921fd10ed08e44c3a154fc0
SHA256: 3cfa802e88eda174e84506f3c4f06154804f5ef693d265589a75deeef7ef4470
SHA512: d8220bfbff51f631fd524e1aa4237f0cfa476c5832afbae12207c3a6bbb3e628e4f66ad6b8603fa342bde6705034932ca8401a1c93555c4c1ec883e5406b613e
Homepage: https://cran.r-project.org/package=VoxR
Description: CRAN Package 'VoxR' (Trees Geometry and Morphology from Unstructured TLS Data)
 Tools for 3D point cloud voxelisation, projection, geometrical and
 morphological description of trees (DBH, height, volume, crown diameter),
 analyses of temporal changes between different measurement times, distance
 based clustering and visualisation of 3D voxel clouds and 2D projection.
 Most analyses and algorithms provided in the package are based on the
 concept of space exploration and are described in Lecigne et al. (2018,
 <doi:10.1093/aob/mcx095>).

Package: r-cran-vpc
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-classint, r-cran-dplyr, r-cran-mass, r-cran-survival, r-cran-ggplot2, r-cran-readr, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-testit
Filename: pool/dists/focal/main/r-cran-vpc_1.2.2-1.ca2004.1_all.deb
Size: 840972
MD5sum: 4c20f7606b7b14981ca136cee39fba18
SHA1: a4fb92aa16da76665da83a57368f3f0e77ce888d
SHA256: b9e780f47b546356256d031b087127f7a55c4ad06bef7bf32435db7298611e3b
SHA512: b06287aa38d8c77e527d5f6bd361abd63e2af4b7b6eaed84b5e0ceb096feee160da3395a42019e0a5e871ac1d5d31b9ff84f60d10e1e3ed9bfacd88af0262e7c
Homepage: https://cran.r-project.org/package=vpc
Description: CRAN Package 'vpc' (Create Visual Predictive Checks)
 Visual predictive checks are a commonly used diagnostic plot in
 pharmacometrics, showing how certain statistics (percentiles) for observed
 data compare to those same statistics for data simulated from a model. The
 package can generate VPCs for continuous, categorical, censored, and
 (repeated) time-to-event data.

Package: r-cran-vprint
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vprint_1.2-1.ca2004.1_all.deb
Size: 14028
MD5sum: af20e6c0a5b0ac4289ae51426d778fb7
SHA1: a419242e6521284937de8eb349ac8e4b79cbe1e2
SHA256: 4dc34408f91aa54b046cb22198192ec8ea2700b889da12fbf3dbbc47cfe39522
SHA512: 9908644314ff1bb6017433ea086f2ba4f8062b731c0936baf3a3cffac700884d853c35c16421e32499a40e6305e9c48e1a3e5d14f290184b70ed63b21f6c3a40
Homepage: https://cran.r-project.org/package=vprint
Description: CRAN Package 'vprint' (More Flexible Form of Boolean Verbose)
 R functions are not supposed to print text without giving the user the
 option to turn the printing off or on using a Boolean 'verbose' in a
 construct like 'if(verbose) print(...)'. But this black/white approach is
 rather rigid, and an approach with shades of gray might be more appropriate
 in many circumstances.

Package: r-cran-vprr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9876
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-oce, r-cran-dplyr, r-cran-interp, r-cran-magick, r-cran-gsw, r-cran-tidyr, r-cran-stringr, r-cran-metr, r-cran-gridextra, r-cran-lubridate, r-cran-cmocean, r-cran-withr, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-vprr_0.2.3-1.ca2004.1_all.deb
Size: 2155592
MD5sum: 6de18bd7c7ce771608865c2cfb8af4bd
SHA1: 100754dfc04e7cba42ca2a32c4547d1a9d9b4ad2
SHA256: 6b5109698c30ad5264fce03f58c2c198abd367c9319228901b2871f548d07e8f
SHA512: 91dc12b5244ca94a2cb017e330f0b290c9938e332fd626bc3659b049fb81d47be3811f85ac9eac98670975546e428c6847d3fb49c315e3977ea1f781f0da2da5
Homepage: https://cran.r-project.org/package=vprr
Description: CRAN Package 'vprr' (Processing and Visualization of Video Plankton Recorder Data)
 An oceanographic data processing package for analyzing and visualizing Video
 Plankton Recorder data.  This package was developed at 'Bedford Institute of
 Oceanography'.  Functions are designed to process automated image
 classification output and create organized and easily portable data
 products.

Package: r-cran-vrcp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 570
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-vrcp_0.1.1-1.ca2004.1_all.deb
Size: 427156
MD5sum: e2745a508f774e606537526b569548c2
SHA1: bc35b63255615c014c00e06d672328ef3d5bca16
SHA256: 5caad608db5690c0637b57fd20be4899a8005bd2f11ad6f4c498d654b424f2c7
SHA512: 4288531e229191d3e34bc1de8d3b23c66a7a6713f9df7c6d4687b85dc7d1c6c9a30c1a38e9ee3f6a6aa8a45870f34448cebc7a6b7145054fc69109625649ef29
Homepage: https://cran.r-project.org/package=vrcp
Description: CRAN Package 'vrcp' (Change Point Estimation for Regression with Varying Segments andHeteroscedastic Variances)
 Estimation of varying regression segments and a change point in 2-segment
 regression models with heteroscedastic variances, and with or without a
 smoothness constraint at the change point.

Package: r-cran-vrmlgen
Architecture: all
Version: 1.4.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1012
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-misc3d
Filename: pool/dists/focal/main/r-cran-vrmlgen_1.4.9-1.ca2004.1_all.deb
Size: 885504
MD5sum: 19341b10fe89c1251a69ef8769fc014a
SHA1: 8d1d59aded0f26ff258497643955afd24ad31340
SHA256: f5b52e7bd5c495e5cbab7482b214048b03c535ae35bb4ca1f7bd894eb11488c5
SHA512: c20694deb33d5d37f4bcd32571aaa52acf42253c76eaa8630babc27fcf770fb2406c6ea6de3023310927599841f5ec6587183bf9d27afc112a227826f3913f72
Homepage: https://cran.r-project.org/package=vrmlgen
Description: CRAN Package 'vrmlgen' (Generate 3D visualizations for data exploration on the web)
 vrmlgen creates 3D scatter and bar plots, visualizations of 3D meshes,
 parametric functions and height maps in web-formats like the Virtual Reality
 Markup Language (VRML, filetype .wrl) and the LiveGraphics3D format.

Package: r-cran-vrnmf
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ica, r-cran-lpsolveapi, r-cran-matrix, r-cran-nnls, r-cran-quadprog
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vrnmf_1.0.2-1.ca2004.1_all.deb
Size: 91012
MD5sum: bef53dfdc315671dc0d911769ace136f
SHA1: f265c8abe4aab11441beadbe47d295458eacffba
SHA256: 3612011f92ee9c143f5dcfd8ba103ee4cb52d4186d97502f2f267b2ca411d005
SHA512: f0056d11e9db2bc2bdb9cf15a748befa88d79ee7524550cfebfc0c2d483c760c967f4e9f3abd72b8ffa8a54c7ec7c327d5e9c95cd5f4a9f594c2c3c37abd9e1e
Homepage: https://cran.r-project.org/package=vrnmf
Description: CRAN Package 'vrnmf' (Volume-Regularized Structured Matrix Factorization)
 Implements a set of routines to perform structured matrix factorization with
 minimum volume constraints. The NMF procedure decomposes a matrix X into a
 product C * D. Given conditions such that the matrix C is non-negative and
 has sufficiently spread columns, then volume minimization of a matrix D
 delivers a correct and unique, up to a scale and permutation, solution (C,
 D). This package provides both an implementation of volume-regularized NMF
 and "anchor-free" NMF, whereby the standard NMF problem is reformulated in
 the covariance domain. This algorithm was applied in Vladimir B. Seplyarskiy
 Ruslan A. Soldatov, et al. "Population sequencing data reveal a compendium
 of mutational processes in the human germ line". Science, 12 Aug 2021.
 <doi:10.1126/science.aba7408>. This package interacts with data available
 through the 'simulatedNMF' package, which is available in a 'drat'
 repository. To access this data package, see the instructions at
 <https://github.com/kharchenkolab/vrnmf>. The size of the 'simulatedNMF'
 package is approximately 8 MB.

Package: r-cran-vrtest
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 171
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vrtest_1.2-1.ca2004.1_all.deb
Size: 141632
MD5sum: b000bc2f6558583d984f6646941612e9
SHA1: bb897a5bd2971325608b97c2f876b0aa9c1a0ed5
SHA256: a6eb5cf854819e9bff9578340739c455cd3fcbbf05618f81186e2f43f78cce92
SHA512: 02b070ab0c024f388ba460d70a7efc1acb9a072e443bd45f1de05eb87f190940bfecb8d986634c405cb502b8b6574584678e89109927867454614a37e2f20c53
Homepage: https://cran.r-project.org/package=vrtest
Description: CRAN Package 'vrtest' (Variance Ratio Tests and Other Tests for Martingale DifferenceHypothesis)
 A collection of statistical tests for martingale difference hypothesis,
 including automatic portmanteau test (Escansiano and Lobato, 2009)
 <doi:10.1016/j.jeconom.2009.03.001> and automatic variance ratio test (Kim,
 2009) <doi:10.1016/j.frl.2009.04.003>.

Package: r-cran-vscc
Architecture: all
Version: 0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-manlymix, r-cran-teigen, r-cran-mclust, r-cran-mixghd
Filename: pool/dists/focal/main/r-cran-vscc_0.7-1.ca2004.1_all.deb
Size: 56676
MD5sum: 56110e4cf9a8787f5d13233316f59fbc
SHA1: 114b12430c50ed2c1f927d4c1867d843ff4e58e7
SHA256: 20f3e92df27a16c9ea9b3d8406b229431d159377ff7bffde632a27607714fd3e
SHA512: f876334dcd51a858d489aea20080d88b9c0065a01f479cb3f9cc3c14bf0739b411f2091248ab83efcf204456f7014bd48c468adf5805995f542942bba915aa0d
Homepage: https://cran.r-project.org/package=vscc
Description: CRAN Package 'vscc' (Variable Selection for Clustering and Classification)
 Performs variable selection/feature reduction under a clustering or
 classification framework. In particular, it can be used in an automated
 fashion using mixture model-based methods ('teigen' and 'mclust' are
 currently supported).  Can account for mixtures of non-Gaussian
 distributions via Manly transform (via 'ManlyMix').  See Andrews and
 McNicholas (2014) <doi:10.1007/s00357-013-9139-2> and Neal and McNicholas
 (2023) <doi:10.48550/arXiv.2305.16464>.

Package: r-cran-vsd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-ggplot2, r-cran-dplyr, r-cran-survminer, r-cran-flexsurv, r-cran-magrittr, r-cran-ggpubr, r-cran-muhaz
Suggests: r-cran-plotly
Filename: pool/dists/focal/main/r-cran-vsd_0.1.0-1.ca2004.1_all.deb
Size: 46932
MD5sum: f5b047b3c72acca266aec7963cedaec4
SHA1: 0d920437861c72c53d788d5d578c5b1437f6cd08
SHA256: 1bcf3616fb0047c47f94f8101eecbdeb64b4d8d7b96af69935ff5a3a5fdbba1d
SHA512: 18944c0fc263812c01390d67aacba4701d1a1fe86dbe95000e344f3810cf619bbc309fe4a66930f6cb570c64105d1d39e93771d5d4f39d58e55bf1ce7fbb282e
Homepage: https://cran.r-project.org/package=vsd
Description: CRAN Package 'vsd' (Graphical Shim for Visual Survival Data Analysis)
 Provides a shim command for survival analysis graphic generation.

Package: r-cran-vsdecomp
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-hmisc, r-cran-ggplot2, r-cran-reshape, r-cran-lfe, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vsdecomp_0.1.1-1.ca2004.1_all.deb
Size: 63532
MD5sum: b76a837cddc41390608aed2c005ad987
SHA1: c38d69470dd7babcc3a1199cd6a1e8f2765924b7
SHA256: 23edc0d90d7ffb773e20a6fa494461903e69b2ac52d3101053d6d093748a6b00
SHA512: 89bff53cfacaf60339f03610a1342a91c1e2b85e2cce8ce8abce975bd4f895dab489681a10fae943fb29dc7f6ba1eb107c56f902ad0ed9bcb1a2da8217ae15c9
Homepage: https://cran.r-project.org/package=VSdecomp
Description: CRAN Package 'VSdecomp' (Variance and Skewness Decomposition)
 Provides decomposition methods for the skewness or variance of a variable
 (e.g., wage).  By breaking distribution moments into independent components,
 users can analyze changes in distributions across time or between groups.

Package: r-cran-vse4ts
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-pracma
Filename: pool/dists/focal/main/r-cran-vse4ts_1.0.0-1.ca2004.1_all.deb
Size: 26600
MD5sum: ec2b726ceebeb62637ba777fc933cf52
SHA1: 6b4355e0cf6898cb6fa954ea851af2f9e2646eaa
SHA256: ba41ff5fdb9c958f1be8067e57ef559fe39800f82101d0fc48b68509c3c0dc9a
SHA512: bdfc70641cb6f40db5d1a94ecb18ad34e6d20b4c8495a3a27b74a31564c1d58e4529b03e2afa4862f487a3446124147909ef8711e1c33143a922764bbdbe1c63
Homepage: https://cran.r-project.org/package=vse4ts
Description: CRAN Package 'vse4ts' (Identify Memory Patterns in Time Series Using Variance ScaleExponent)
 Methods for calculating the variance scale exponent to identify memory
 patterns in time series data. Includes tests for white noise, short memory,
 and long memory. See Fu, H. et al. (2018) <doi:10.1016/j.physa.2018.06.092>.

Package: r-cran-vsmi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mass, r-cran-matrix, r-cran-mice, r-cran-qif
Filename: pool/dists/focal/main/r-cran-vsmi_0.1.0-1.ca2004.1_all.deb
Size: 83888
MD5sum: d8ed365a349605016b1e94436a6d54ee
SHA1: a4e2519e347d82cc044b136cee6140cdbd570ccd
SHA256: 749161ab405e27c2c0c84123b7b492f3ba807e344db8d881be255a03ebddf035
SHA512: 3999e4664d7dc7790a02bb3d688183aeeb6a8f96c9fc487b94fb1c241a58b4a732f2a3541b2ff620fba74d037b969ebe003ec5a8fb2f972d1483c07120875c3b
Homepage: https://cran.r-project.org/package=vsmi
Description: CRAN Package 'vsmi' (Variable Selection for Multiple Imputed Data)
 Penalized weighted least-squares estimate for variable selection on
 correlated multiply imputed data and penalized estimating equations for
 generalized linear models with multiple imputation.  Reference: Li, Y.,
 Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized estimating
 equations for generalized linear models with multiple imputation",
 <doi:10.1214/22-AOAS1721>.  Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*.
 (2023) "Penalized weighted least-squares estimate for variable selection on
 correlated multiply imputed data", <doi:10.1093/jrsssc/qlad028>.

Package: r-cran-vsolassobag
Architecture: all
Version: 0.99.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2398
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-survival, r-cran-ggplot2, r-cran-pot, r-cran-pbapply, r-bioc-summarizedexperiment
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-rmdformats, r-cran-qpdf
Filename: pool/dists/focal/main/r-cran-vsolassobag_0.99.1-1.ca2004.1_all.deb
Size: 1366196
MD5sum: dba413d64dca9fb44d82f87141971953
SHA1: 286605727a66ee323d7842d7ebd8d6546e92697a
SHA256: a50830c7f3e745fb9ca6d3c718e0c7478768c7f2b134e19302bdbeb131114c18
SHA512: 4275abbe33a7ed52096607f69405ef9e8249a01d864622c8397ac944d4d95ad65fa557cecadd9635b6d245388f041997356e6baa494ccdb4436b6a4c020e4794
Homepage: https://cran.r-project.org/package=VSOLassoBag
Description: CRAN Package 'VSOLassoBag' (Variable Selection Oriented LASSO Bagging Algorithm)
 A wrapped LASSO approach by integrating an ensemble learning strategy to
 help select efficient, stable, and high confidential variables from
 omics-based data. Using a bagging strategy in combination of a parametric
 method or inflection point search method for cut-off threshold
 determination. This package can integrate and vote variables generated from
 multiple LASSO models to determine the optimal candidates. Luo H, Zhao Q, et
 al (2020) <doi:10.1126/scitranslmed.aax7533> for more details.

Package: r-cran-vsp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 410
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clue, r-cran-ggplot2, r-cran-glue, r-cran-invertiforms, r-cran-lrmf3, r-cran-magrittr, r-cran-matrix, r-cran-rlang, r-cran-rspectra, r-cran-tibble, r-cran-withr
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggally, r-cran-igraph, r-cran-igraphdata, r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tidygraph, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-vsp_0.1.2-1.ca2004.1_all.deb
Size: 334468
MD5sum: 2371ae1ff7ee2768a57b50f27f6b1d24
SHA1: 6d40851bc38bcfeb8f80279c5117bbda00fde419
SHA256: 2f19fab13a444c0a7ea22303d241e2d1ecf7c469232dc497fe2c79f657167f01
SHA512: b7656ef4b3879b7403a416a5853e0f9668b4ea0bc510185da4c5224ef77b9b6d2ba1e1544ef79e43b0e1a1d85c7f4bc9de82d9cd2e83993794dc53d554b28ba3
Homepage: https://cran.r-project.org/package=vsp
Description: CRAN Package 'vsp' (Vintage Sparse PCA for Semi-Parametric Factor Analysis)
 Provides fast spectral estimation of latent factors in random dot product
 graphs using the vsp estimator. Under mild assumptions, the vsp estimator is
 consistent for (degree-corrected) stochastic blockmodels, (degree-corrected)
 mixed-membership stochastic blockmodels, and degree-corrected overlapping
 stochastic blockmodels.

Package: r-cran-vstdct
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dtt, r-cran-mass, r-cran-nlme
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vstdct_0.2-1.ca2004.1_all.deb
Size: 180584
MD5sum: 69e616c7ebea7b688071c702641a853e
SHA1: 3a24b5516646a20703ab1066a9c3274110167d34
SHA256: 8d00c6511a057561b729f24a39430ea667af7cae10a4dd00e3c4caf636ba7b0b
SHA512: 02d1a16f5c8b4100a3be96be351b75b80ff082159872bc52d90e94514d4681a80478feb91eac8da468a17602ee71b1261103d71edfc500a29ce28d2dc3654ca9
Homepage: https://cran.r-project.org/package=vstdct
Description: CRAN Package 'vstdct' (Nonparametric Estimation of Toeplitz Covariance Matrices)
 A nonparametric method to estimate Toeplitz covariance matrices from a
 sample of n independently and identically distributed p-dimensional vectors
 with mean zero. The data is preprocessed with the discrete cosine matrix and
 a variance stabilization transformation to obtain an approximate Gaussian
 regression setting for the log-spectral density function. Estimates of the
 spectral density function and the inverse of the covariance matrix are
 provided as well. Functions for simulating data and a protein data example
 are included. For details see (Klockmann, Krivobokova; 2023),
 <arXiv:2303.10018>.

Package: r-cran-vstsr
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 127
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-httr, r-cran-rcurl, r-cran-jsonlite
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vstsr_1.1.0-1.ca2004.1_all.deb
Size: 97476
MD5sum: 1599ec3e832d75e5ba83dd05f0524e53
SHA1: 1175ed1b83f7f703a41817fb220cc234e101bd8c
SHA256: 27f192334dbb217d1b7aea6675128c9b9c87f683616762e405ba109b5e25b151
SHA512: 852bd7be08f8d2bdf2fa69b00e8623c8f0a0a14819f80e0e1258a29713fd982b2f777841bb06bf7ca7c0aa298c38fee78f55693917304a6b21bd8398d7f8da98
Homepage: https://cran.r-project.org/package=vstsr
Description: CRAN Package 'vstsr' (Access to 'Azure DevOps' API via R)
 Implementation of 'Azure DevOps' <https://azure.microsoft.com/> API calls.
 It enables the extraction of information about repositories, build and
 release definitions and individual releases.  It also helps create
 repositories and work items within a project without logging into 'Azure
 DevOps'.  There is the ability to use any API service with a shell for any
 non-predefined call.

Package: r-cran-vsurf
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 507
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-doparallel, r-cran-foreach, r-cran-randomforest, r-cran-rpart
Suggests: r-cran-testthat, r-cran-ranger, r-cran-rborist
Filename: pool/dists/focal/main/r-cran-vsurf_1.2.0-1.ca2004.1_all.deb
Size: 475776
MD5sum: ae7263464f497ffb4aa3beae52de5e32
SHA1: 2fe8ff52e579386988e2edf3a9983133684ecc11
SHA256: 527f8da8c4298ef35e5ce19b75d71b5bc5ea6ca87d82a00347d95551869d25b0
SHA512: 611eed8824f584471c7b7bc2d32c929b38dcec762af22234e50485e2f408a81b471f93f95ced7278f9c04dc80dcaf697cb53b5bba04cc5eb3c5e75d047333659
Homepage: https://cran.r-project.org/package=VSURF
Description: CRAN Package 'VSURF' (Variable Selection Using Random Forests)
 Three steps variable selection procedure based on random forests.  Initially
 developed to handle high dimensional data (for which number of variables
 largely exceeds number of observations), the package is very versatile and
 can treat most dimensions of data, for regression and supervised
 classification problems. First step is dedicated to eliminate irrelevant
 variables from the dataset. Second step aims to select all variables related
 to the response for interpretation purpose. Third step refines the selection
 by eliminating redundancy in the set of variables selected by the second
 step, for prediction purpose.  Genuer, R. Poggi, J.-M. and Tuleau-Malot, C.
 (2015)
 <https://journal.r-project.org/archive/2015-2/genuer-poggi-tuleaumalot.pdf>.

Package: r-cran-vsusp
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 341
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-bayesreg
Suggests: r-cran-covr, r-cran-mass, r-cran-knitr, r-cran-rmarkdown, r-cran-tinytex, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vsusp_1.0.0-1.ca2004.1_all.deb
Size: 286432
MD5sum: 9ced97d676a998b386a0b184da07bb74
SHA1: 1ae55e5b871408a52a3edd4c15da594111cd3467
SHA256: 640a80a60eefa07ed0a6886a7f686e7b77c264ed0304e84b9c124e076f1188bd
SHA512: 3390490c8910d9c4330564cabeaa6086c888231d641493d98e55ee31d05aa181f35aa8ee58e79bcdf0390aa9c6525fcd8d88200e16e7ec5d91b98c56e7134006
Homepage: https://cran.r-project.org/package=VsusP
Description: CRAN Package 'VsusP' (Variable Selection using Shrinkage Priors)
 Bayesian variable selection using shrinkage priors to identify significant
 variables in high-dimensional datasets. The package includes methods for
 determining the number of significant variables through innovative
 clustering techniques of posterior distributions, specifically utilizing the
 2-Means and Sequential 2-Means (S2M) approaches. The package aims to
 simplify the variable selection process with minimal tuning required in
 statistical analysis.

Package: r-cran-vtable
Architecture: all
Version: 1.4.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 650
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-kableextra, r-cran-rstudioapi, r-cran-sjlabelled, r-cran-haven, r-cran-knitr
Suggests: r-cran-rmarkdown, r-cran-survey
Filename: pool/dists/focal/main/r-cran-vtable_1.4.8-1.ca2004.1_all.deb
Size: 234892
MD5sum: c4d4ee19de22934aa9cbbce9cb76841e
SHA1: 5cc688fc254b26759a7c5c852260501e7455f44b
SHA256: c20e0ca32ec2daac174f7a960cd1d2f72d0aa1961012f2935c75c2efd5adaef4
SHA512: 8b3e2ca3b5b6ffba194625406b6d10f942246fec5e93d50777bf802ea6cd35127e5bfdab647d0492a2cd6535fe6826f56d52cb937999840aa8aa943cd1320718
Homepage: https://cran.r-project.org/package=vtable
Description: CRAN Package 'vtable' (Variable Table for Variable Documentation)
 Automatically generates HTML variable documentation including variable
 names, labels, classes, value labels (if applicable), value ranges, and
 summary statistics. See the vignette "vtable" for a package overview.

Package: r-cran-vtreat
Architecture: all
Version: 1.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2306
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-wrapr, r-cran-digest
Suggests: r-cran-rquery, r-cran-rqdatatable, r-cran-data.table, r-cran-knitr, r-cran-rmarkdown, r-cran-dbi, r-cran-rsqlite, r-cran-r.rsp, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-vtreat_1.6.5-1.ca2004.1_all.deb
Size: 1319072
MD5sum: c0da913cd4aa1b64de240a96f9c062d0
SHA1: 4811b310e2cfd46b113e0fbe52464865519db472
SHA256: 1bf4c26dc4d2a342debaefbefc111d4b3fc05419baebfb5b374be2d6a208a3b4
SHA512: 008fc980f147129c92cfa38f0007a4522f458be5d6813fd25180093ae374680dd10b139ec49e619546093785a768551ef55985cfeb031b232d3195e2d02ed6f9
Homepage: https://cran.r-project.org/package=vtreat
Description: CRAN Package 'vtreat' (A Statistically Sound 'data.frame' Processor/Conditioner)
 A 'data.frame' processor/conditioner that prepares real-world data for
 predictive modeling in a statistically sound manner.  'vtreat' prepares
 variables so that data has fewer exceptional cases, making it easier to
 safely use models in production. Common problems 'vtreat' defends against:
 'Inf', 'NA', too many categorical levels, rare categorical levels, and new
 categorical levels (levels seen during application, but not during
 training). Reference: "'vtreat': a data.frame Processor for Predictive
 Modeling", Zumel, Mount, 2016, <DOI:10.5281/zenodo.1173313>.

Package: r-cran-vtree
Architecture: all
Version: 5.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3414
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-rsvg, r-cran-htmlwidgets, r-cran-shiny, r-cran-utf8
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vtree_5.6.5-1.ca2004.1_all.deb
Size: 2420328
MD5sum: 82c700915baa822702626b642f370af3
SHA1: 1b4aa934389cce20f1dee8c842220f38321cd631
SHA256: 09988ee18445bde07a59795af48db1e79a63f4186a41a829facc7b42d106dc90
SHA512: a51bce028675fa3adaa2b2d8cdd90702ce7f0a9b1486951e6b22587871ff813f391c35dc3ecfa0039de93ea87c6c1ead8243c12710bbc95dcb7ae9acd1fcb556
Homepage: https://cran.r-project.org/package=vtree
Description: CRAN Package 'vtree' (Display Information About Nested Subsets of a Data Frame)
 A tool for calculating and drawing "variable trees". Variable trees display
 information about nested subsets of a data frame.

Package: r-cran-vtshiny
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-rmarkdown, r-cran-envstats
Filename: pool/dists/focal/main/r-cran-vtshiny_0.1.0-1.ca2004.1_all.deb
Size: 69100
MD5sum: 1cb2c9fb2459456653ad2b8ff902d0ca
SHA1: 00a385e105092a0a374cb1dbd170c7e7a558fd2b
SHA256: 1f4ac3de872b0795d4b41801a8ff143d300803a208c03dc2e17dc4251c297958
SHA512: 7f01ed717805b46c7753053f9de1adb551a39141a37a13041e0de85c6d486dbb5ec34feda128aecd32f306f0667ff2237bf3480e474cda6ef47779a05ddeb2d6
Homepage: https://cran.r-project.org/package=VTShiny
Description: CRAN Package 'VTShiny' (Interactive Document for Working with Variance Analysis)
 An interactive document on the topic of variance analysis using 'rmarkdown'
 and 'shiny' packages. Runtime examples are provided in the package function
 as well as at
 <https://predanalyticssessions1.shinyapps.io/chisquareVarianceTest/>.

Package: r-cran-vtype
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 486
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randomforest
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vtype_0.8-1.ca2004.1_all.deb
Size: 369608
MD5sum: c0223f73e2aa97c4dd3d7c244a3a8e3d
SHA1: 7f5327e9205b975d4f5e4e53468d413e778a3e85
SHA256: 086dcd55d7ebeb444004a2b9ebc6c956564b22ed8e7fa1e8379b6246bb777cf2
SHA512: a93a7921557a6e833130ee2a215d468557e151d2478ecbc27d009318a318ba790125ca7ab5d4946078dbba320113cc0ea29e81e988d8f2fb24a55c811566c5cc
Homepage: https://cran.r-project.org/package=vtype
Description: CRAN Package 'vtype' (Estimates the Variable Type in Error Afflicted Data)
 Estimates the type of variables in non-quality controlled data. The
 prediction is based on a random forest model, trained on over 5000 medical
 variables with accuracy of 99%. The accuracy can hardy depend on type and
 coding style of data.

Package: r-cran-vudc
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 212
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-vudc_1.1-1.ca2004.1_all.deb
Size: 180312
MD5sum: 5ab8f4b4dc783b7f3e2461d04ce3348d
SHA1: 6d42654e8f424827b8eaa519588898f008022a97
SHA256: 6918e3ca0ee4f1b37fc68a3b715efc7c7d18114ab80619e05b5113e6d3b90198
SHA512: 22ef85bc6599f1b42ca85f809ad1cea99d257e6fe4c20fc2db0d107f5bfebee1c92d7f8bc3837c2440b46a2233a2baaa164c7cd629a6a3673ef2cddc78a9c962
Homepage: https://cran.r-project.org/package=vudc
Description: CRAN Package 'vudc' (Visualization of Univariate Data for Comparison)
 Contains functions for visualization univariate data: ccdplot and qddplot.

Package: r-cran-vuer
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1305
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-htmlwidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vuer_0.6.0-1.ca2004.1_all.deb
Size: 286572
MD5sum: 1dea923e5d7ccaa401bbb073e66464eb
SHA1: 7ba2a80d50f3cf215db36f5faa18a3f9577782e3
SHA256: cd439a2c88262318afe6689d782cad73d61f6a061107dd9eeb05e08902993207
SHA512: 922e6c925233be10336d538f7ef077ad0129578ce27c232deabaa2a860e25de294fe1d02c62c5ede2df256fbaeaca09938e1393971a589224f0675bf304ec961
Homepage: https://cran.r-project.org/package=vueR
Description: CRAN Package 'vueR' ('Vuejs' Helpers and 'Htmlwidget')
 Make it easy to use 'vue' in R with helper dependency functions and
 examples.

Package: r-cran-vulntoolkit
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 608
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-plyr
Suggests: r-cran-covr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vulntoolkit_1.1.4-1.ca2004.1_all.deb
Size: 377292
MD5sum: cf5fc85a99bb0e45c5e94d4f2f022a3e
SHA1: 78dd6e0101efeb46691ac6831676bdf57247c122
SHA256: 7723e4ce0909533569e1a8b8ba436f8d8295af219a1874cc606eca2ae3838eec
SHA512: 3037c2e9f0caba4bceb470fd14b52019b50f30307f8b7bf70adb2dd5569aa54a0d0c22dd3f1730aab407f5a97b8adef64e43d20eb6562d8c980a54846f1305a0
Homepage: https://cran.r-project.org/package=VulnToolkit
Description: CRAN Package 'VulnToolkit' (Analysis of Tidal Datasets)
 Contains functions for analysis and summary of tidal datasets. Also provides
 access to tidal data collected by the National Oceanic and Atmospheric
 Administration's Center for Operational Oceanographic Products and Services
 and the Permanent Service for Mean Sea Level. For detailed description and
 application examples, see Hill, T.D. and S.C. Anisfeld (2021)
 <doi:10.6084/m9.figshare.14161202.v1> and Hill, T.D. and S.C. Anisfeld
 (2015) <doi:10.1016/j.ecss.2015.06.004>.

Package: r-cran-vvauditor
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 929
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-findr, r-cran-janitor, r-cran-kit, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-stringr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vvauditor_0.7.0-1.ca2004.1_all.deb
Size: 415300
MD5sum: 92aebae87b3e1f3ef741133709327c88
SHA1: 6dea5e9dd9b476d052505e2b94b5ff6a0ce069eb
SHA256: e14eb62fa24a00f4c68e04d20420fb20e04c1b548115a68f623ed7353ecae8f9
SHA512: f5bd02e4d20269caae056be365a968cf17dc8c98f850a8a699d88a131fbdb0f93a415d085389d5db12b5b62756717ae4335a9a9ba6a2294a6f4bcb181c3e94b8
Homepage: https://cran.r-project.org/package=vvauditor
Description: CRAN Package 'vvauditor' (Creates Assertion Tests)
 Offers a comprehensive set of assertion tests to help users validate the
 integrity of their data.  These tests can be used to check for specific
 conditions or properties within a dataset and help ensure that data is
 accurate and reliable.  The package is designed to make it easy to add
 quality control checks to data analysis workflows and to aid in identifying
 and correcting any errors or inconsistencies in data.

Package: r-cran-vvbitwarden
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1235
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite, r-cran-processx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-vvbitwarden_0.1.0-1.ca2004.1_all.deb
Size: 1182812
MD5sum: 3829435ec1ce9c2273d32bdbc8a13a65
SHA1: c3511c87453efd45bc38637ada17136cd6435962
SHA256: 6435b7adeb059ad7e4f66d02dde8685a70b8cec371e0b07e6ad452ed1d5e450b
SHA512: d40e3186f38c43b103a1dea3fba507cff3c004c63ea96bdd2dcbee8852bbdde48318ccce977faec842883d76fc6f4d4f1035990496d044cf36fad5067ebde396
Homepage: https://cran.r-project.org/package=vvbitwarden
Description: CRAN Package 'vvbitwarden' (Interacts with 'Bitwarden Secrets Manager')
 Provides functions to securely retrieve secrets from a 'Bitwarden Secrets
 Manager' vault using the 'Bitwarden CLI', enabling secret and configuration
 management within R packages and workflows.  For more information visit
 <https://bitwarden.com/products/secrets-manager/>.

Package: r-cran-vvcanvas
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 330
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-htm2txt, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-mime, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vvcanvas_0.0.5-1.ca2004.1_all.deb
Size: 224872
MD5sum: ad5c1be877a47503738e9f18c978ab20
SHA1: c15d2b00ed7e4286001a4b105ec7fed2eddc1596
SHA256: 5886440d989a6c1feee660a06025342b2fdf75337419fac05178e17ea7f3dba6
SHA512: da6af5794f9ddd565c3833fbe2d8d42c30cffdb4ab4a7051d74b1e223f484a2dd83ff35b1867baef0be39f7363795caeb09f230d6121cf47ac6711bb020cc680
Homepage: https://cran.r-project.org/package=vvcanvas
Description: CRAN Package 'vvcanvas' ('Canvas' LMS API Integration)
 Allow R users to interact with the 'Canvas' Learning Management System (LMS)
 API (see <https://canvas.instructure.com/doc/api/all_resources.html> for
 details).  It provides a set of functions to access and manipulate course
 data, assignments, grades, users, and other resources available through the
 'Canvas' API.

Package: r-cran-vvconverter
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-dplyr, r-cran-lubridate, r-cran-magrittr, r-cran-polyglotr, r-cran-stringr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vvconverter_0.7.0-1.ca2004.1_all.deb
Size: 140124
MD5sum: da2820e9b5ff0f8b1145e561e8ff9578
SHA1: 9774ec68ea4292bf4c512b6e12c35c6e8de31e2f
SHA256: e38d30a27b13b3575791b99a35ba9d22d1d6acb5dd06ec92e1428c5bfa974fe9
SHA512: cdd86aa6bc33c641dee08d1d199601b5f3f33dcdaf617263a86d1b32bfdfbb3b33d1d74bd665126db06d733570c3ec7962895d7db8103ef2d58687e25bdadc29
Homepage: https://cran.r-project.org/package=vvconverter
Description: CRAN Package 'vvconverter' (Apply Transformations to Data)
 Provides a set of functions for data transformations.  Transformations are
 performed on character and numeric data. As the scope of the package is
 within Student Analytics, there are functions focused around the academic
 year.

Package: r-cran-vvdoctor
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-datamods, r-cran-desctools, r-cran-dt, r-cran-exact2x2, r-cran-irr, r-cran-magrittr, r-cran-rintrojs, r-cran-rstatix, r-cran-shiny, r-cran-shinyjs, r-cran-shinywidgets
Filename: pool/dists/focal/main/r-cran-vvdoctor_0.0.1-1.ca2004.1_all.deb
Size: 560364
MD5sum: be44005075b0ccc570e16a72420b0222
SHA1: a41a1865af8311dd7ee2051880cd55befc2815b6
SHA256: e1ac9977c924a240ee3e5202b1c66801cc2fdeb3597b89d86fb67196ed770345
SHA512: 9e671b845d9b4372029d5f5cfbc60cef1ee4f8eb1ce259278c81322ea1164da3fc6d4fcda608abc4a40c090b3c6a25486fe34fe15ce44c7703cda126543ce6df
Homepage: https://cran.r-project.org/package=vvdoctor
Description: CRAN Package 'vvdoctor' (Statistical Test App with R 'shiny')
 Provides a user-friendly R 'shiny' app for performing various statistical
 tests on datasets.  It allows users to upload data in numerous formats and
 perform statistical analyses.  The app dynamically adapts its options based
 on the selected columns and supports both single and multiple column
 comparisons.  The app's user interface is designed to streamline the process
 of selecting datasets, columns, and test options, making it easy for users
 to explore and interpret their data. The underlying functions for
 statistical tests are well-organized and can be used independently within
 other R scripts.

Package: r-cran-vvfiller
Architecture: all
Version: 0.6.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vvfiller_0.6.7-1.ca2004.1_all.deb
Size: 96792
MD5sum: ce824ed91c3a31dbc866c71868bb1c38
SHA1: d0b35d72bcca7e84b13a82a762147fa8b86f71ae
SHA256: ede17b6c51b6873713d0ea072b6332841edbccbec3e9d4480cb392f155c3dde9
SHA512: 319664eff7a5f55f5d1e07162d74b40224c66e886147b29a96810b5d7996adfe5a6fa2f2d016d445adee4ad1f6d17fe411ac1decb8ed0e32a94543cb12d47d74
Homepage: https://cran.r-project.org/package=vvfiller
Description: CRAN Package 'vvfiller' (Fill Data Points)
 Provides numerous functions to fill data.  These can be applied either to
 missing or skewed data.  The functions are designed within the scope of
 Student Analytics.

Package: r-cran-vvmover
Architecture: all
Version: 1.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-readr, r-cran-readxl
Filename: pool/dists/focal/main/r-cran-vvmover_1.6.0-1.ca2004.1_all.deb
Size: 151800
MD5sum: 23643fab8e74de10ddc238e0995e3f10
SHA1: 19b295fff38c419c221cb827c487ca9425fd69ad
SHA256: 41ddaabd9e5cdc29d69c47125f2da74f5e32a0aaf4755bac717c6b2b4fcebce9
SHA512: c492e695915d706cefef6d60be3fd8dd964974ff341412589e09e1d9a613e7968d7b66c896e1ef2e741a2ca4b95c81c5e327b84beb48926c63df666278a95847
Homepage: https://cran.r-project.org/package=vvmover
Description: CRAN Package 'vvmover' (Read and Write Data)
 Offers a wide range of functions for reading and writing data in various
 file formats, including CSV, RDS, Excel and ZIP files.  Additionally, it
 provides functions for retrieving metadata associated with files, such as
 file size and creation date, making it easy to manage and organize large
 data sets.  This package is designed to simplify data import and export
 tasks, and provide users with a comprehensive set of tools to work with
 different types of data files.

Package: r-cran-vvsculptor
Architecture: all
Version: 0.4.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-vvsculptor_0.4.10-1.ca2004.1_all.deb
Size: 12564
MD5sum: c78400e3551d77554e416ea8d378c4cd
SHA1: 3e9e95db3c435a64ee4ac86cb956401ca476b305
SHA256: 3e7095df3a6788ba54740be134a71bb2dee0d26c65ce8e3a7ea955f8490c18ab
SHA512: 48a7b75a923c9c0c4d93172fbd96139fb71394e7a95dbe7674273ae3425bf62b2d8c6f336f4aae319562be66d8507aae68b9d45321729ca4d9ec83c26ee8976e
Homepage: https://cran.r-project.org/package=vvsculptor
Description: CRAN Package 'vvsculptor' (Apply Manipulations to Data Frames)
 Provides a set of functions for manipulating data frames in accordance with
 specific business rules.  In addition, it includes wrapper functions for
 commonly used functions from the popular 'tidyverse' package, making it easy
 to integrate these functions into data analysis workflows.  The package is
 designed to streamline data preprocessing and help users quickly and
 efficiently perform data transformations that are specific to their business
 needs.

Package: r-cran-vvshiny
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-forcats, r-cran-ggplot2, r-cran-ggpubr, r-cran-scales, r-cran-ggalluvial, r-cran-shiny, r-cran-shinycssloaders, r-cran-shinydashboard, r-cran-shinydashboardplus, r-cran-shinywidgets, r-cran-htmlwidgets, r-cran-htmltools, r-cran-plotly, r-cran-dt
Suggests: r-cran-rcolorbrewer, r-cran-waiter, r-cran-spscomps, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-vvshiny_0.1.1-1.ca2004.1_all.deb
Size: 141900
MD5sum: d2545b5b4764069e041c583d00894fa1
SHA1: 64f2814d22de64a6d9cd4ab3cb927987652d06b9
SHA256: 52bd57df1d275a6ecd07686609fe67c38e84ff0dcbfe1c1bf5ed774ea4981dad
SHA512: 02537f8846cdc25979315c1fc3d1800f1db2bb6460ffac675ed54cfe2355fec86214a7b72a4fb10b1479e2d89e7976228e7e8b2158d7a44bb12229df0afc991e
Homepage: https://cran.r-project.org/package=vvshiny
Description: CRAN Package 'vvshiny' (Create Complex Shiny Apps More Easily)
 Helper and Wrapper functions for making shiny dashboards more easily.
 Functions are made modular and lower level functions are exported as well,
 so many use-cases are supported.

Package: r-cran-vvtableau
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 466
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-magrittr, r-cran-purrr, r-cran-stringr, r-cran-tidyr, r-cran-xml, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vvtableau_0.7.0-1.ca2004.1_all.deb
Size: 334628
MD5sum: cf6672521cd5fdf25bc34b38dec437e9
SHA1: ad87f11dff1545fafb411f93b88db1b9e05c5425
SHA256: e4b5dc223695509294359f34c8ce990b9b446b8d10d484ba0853a05e06285a3d
SHA512: e1ec38ec6038f19d1ef685dcc78b07af75365d293ce83f12eed6ae57435cc8e5232dd5a9b096abaa58a309691f57a94ac9e47b237d9af3db51b32fdd0050496e
Homepage: https://cran.r-project.org/package=vvtableau
Description: CRAN Package 'vvtableau' (R Interface for 'Tableau' Services)
 Provides an R interface for interacting with the 'Tableau' Server.  It
 allows users to perform various operations such as publishing workbooks,
 refreshing data extracts, and managing users using the 'Tableau' REST API
 (see
 <https://help.tableau.com/current/api/rest_api/en-us/REST/rest_api_ref.htm>
 for details). Additionally, it includes functions to perform manipulations
 on local 'Tableau' workbooks.

Package: r-cran-vvtermtime
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-vvtermtime_0.0.1-1.ca2004.1_all.deb
Size: 61468
MD5sum: 2a0246c16d1eeb09795ac201b4dc8b93
SHA1: 9dad0917ff0b9498974c3353250edccdf27edaa5
SHA256: 9138e6bec2a9c832007c2e1a8423ab892668fe30d85f2cc3485e124408ff245a
SHA512: a7de8566c59807ffd5de56fb1d4c7539e96b477fc571a99a6246eb3b0896bc03a0af219cd7d4183bda474d2b41ec50e7ae1463e65bdb1837afaf0fc364dba48a
Homepage: https://cran.r-project.org/package=vvtermtime
Description: CRAN Package 'vvtermtime' (Interface for 'Semestry TermTime' Services)
 Provides an R interface for interacting with the 'Semestry TermTime'
 services.  It allows users to retrieve scheduling data from the API. see
 <https://github.com/vusaverse/vvtermtime/blob/main/openapi_7.7.0.pdf> for
 details.

Package: r-cran-vwline
Architecture: all
Version: 0.2-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1885
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-polyclip, r-cran-gridbezier
Filename: pool/dists/focal/main/r-cran-vwline_0.2-4-1.ca2004.1_all.deb
Size: 436008
MD5sum: c1e5f0435bcf12e0279a853d42f35d33
SHA1: 146429fe4417850f9dbc3087df9f3e212f10aa33
SHA256: 834a9a2f4952aa43e972b895235cc1c0ffee189c74661a3bc5007646cdaa854d
SHA512: 30ff607bd220e90d49d37fadc9a6113c147543e0ca8f88af721333dbb9b59a1664176d0db6837f8e9b5941a959c176f4d6cd127a3414e9de37b873ea6e8d2067
Homepage: https://cran.r-project.org/package=vwline
Description: CRAN Package 'vwline' (Draw Variable-Width Lines)
 Provides R functions to draw lines and curves with the width of the curve
 allowed to vary along the length of the curve.

Package: r-cran-vwpre
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3210
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-ggplot2, r-cran-mgcv, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-gridextra, r-cran-itsadug
Filename: pool/dists/focal/main/r-cran-vwpre_1.2.4-1.ca2004.1_all.deb
Size: 1891300
MD5sum: 0b4e1c66e05ba8707ee0653ad63cd2ae
SHA1: 095f442669eba3e46978a71f023f3352f73b5b2d
SHA256: 01cdffd584e9469a293bde790431797fa0590c01ed61c20fa5f1dac4109655f5
SHA512: 4846802106f18d9e85f54762fb0a144cb3306dd98edbebcde66385567d92c8b16946fbfbda9136eca3c7bfa6f135a11cea1959d4ccd511e1fd2800df800496b9
Homepage: https://cran.r-project.org/package=VWPre
Description: CRAN Package 'VWPre' (Tools for Preprocessing Visual World Data)
 Gaze data from the Visual World Paradigm requires significant preprocessing
 prior to plotting and analyzing the data. This package provides functions
 for preparing visual world eye-tracking data for statistical analysis and
 plotting. It can prepare data for linear analyses (e.g., ANOVA,
 Gaussian-family LMER, Gaussian-family GAMM) as well as logistic analyses
 (e.g., binomial-family LMER and binomial-family GAMM).  Additionally, it
 contains various plotting functions for creating grand average and
 conditional average plots. See the vignette for samples of the
 functionality.  Currently, the functions in this package are designed for
 handling data collected with SR Research Eyelink eye trackers using Sample
 Reports created in SR Research Data Viewer.  While we would like to add
 functionality for data collected with other systems in the future, the
 current package is considered to be feature-complete; further updates will
 mainly entail maintenance and the addition of minor functionality.

Package: r-cran-w2cwm2c
Architecture: all
Version: 2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 162
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waveslim, r-cran-wavemulcor, r-cran-colorspace
Filename: pool/dists/focal/main/r-cran-w2cwm2c_2.2-1.ca2004.1_all.deb
Size: 123184
MD5sum: f22498a81555e4169c61959e69b6146e
SHA1: 90d0e539c2d80c1ba7ba2c69e24f3db1e26438ce
SHA256: 1a9460e3813d8caf8ce9a00b5ac38e98c33b124ffa28e881dd0064b4f023fd67
SHA512: 9870f2a9f03ec742c00ecaa9636cb28d5712da44067d1c89718510d3d2a8731faed816032025669860faa6b339f8c342a9b76cbb13974ea0da82aff166081bff
Homepage: https://cran.r-project.org/package=W2CWM2C
Description: CRAN Package 'W2CWM2C' (A Graphical Tool for Wavelet (Cross) Correlation and WaveletMultiple (Cross) Correlation Analysis)
 Set of functions that improves the graphical presentations of the functions:
 wave.correlation and spin.correlation (waveslim package, Whitcher 2012) and
 the wave.multiple.correlation and wave.multiple.cross.correlation
 (wavemulcor package, Fernandez-Macho 2012b). The plot outputs (heatmaps) can
 be displayed in the screen or can be saved as PNG or JPG images or as PDF or
 EPS formats. The W2CWM2C package also helps to handle the (input data)
 multivariate time series easily as a list of N elements (times series) and
 provides a multivariate data set (dataexample) to exemplify its use. A
 description of the package was published in a scientific paper:
 Polanco-Martinez and Fernandez-Macho (2014), <doi:10.1109/MCSE.2014.96>.

Package: r-cran-w3cmarkupvalidator
Architecture: all
Version: 0.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-curl, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-w3cmarkupvalidator_0.1-7-1.ca2004.1_all.deb
Size: 40260
MD5sum: a673df270e46408952588fc8f17c92e0
SHA1: a8000d5ce36187c6e3e39be51988ba25cb41258f
SHA256: a4f670bdaa4a3ecb982a56af66d9445f9bfe226eb03bb08338cb684d94ebfbc9
SHA512: c600593cbc63e876d8619d6cc4cd8cef12fe6ebb80eff7d19ac118deb5d672dec1240c17c31d56680615c1c5f29abb5f3842fdff6c70d52a04956a007c2535a7
Homepage: https://cran.r-project.org/package=W3CMarkupValidator
Description: CRAN Package 'W3CMarkupValidator' (R Interface to W3C Markup Validation Services)
 R interface to a W3C Markup Validation service.  See
 <https://validator.w3.org/> for more information.

Package: r-cran-w4mrutils
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 427
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-rlang
Suggests: r-cran-covr, r-cran-dt, r-cran-knitr, r-cran-optparse, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-w4mrutils_1.0.0-1.ca2004.1_all.deb
Size: 305080
MD5sum: 6082112ca2044f9719689a8899b0bd11
SHA1: 70640e787f6dc4dba147be1f0908119d5005fbe3
SHA256: b483fd099fa5ae3156d559802a7402097fe475244ab33119975204c2427ca236
SHA512: 56c076304e4e5909785309ea5f4eb91e0775dff1dbbd5ee51e58a80661aa986463a251f015a7121a1674b76a686f4c1f2e5703bbc9d113274e287a07d75c48b4
Homepage: https://cran.r-project.org/package=W4MRUtils
Description: CRAN Package 'W4MRUtils' (Utils List for W4M - Workflow for Metabolomics)
 Provides a set of utility function to prevent the spread of utilities script
 in W4M (Workflow4Metabolomics) scripts, and centralize them in a single
 package.  Some are meant to be replaced by real packages in a near future,
 like the parse_args() function: it is here only to prepare the ground for
 more global changes in W4M scripts and tools.

Package: r-cran-wa
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wa_1.0-1.ca2004.1_all.deb
Size: 80892
MD5sum: f54b8649abb868fb4106df20565bdacb
SHA1: 4a4571bb06d7dc24c67d53cd22f584940ce93573
SHA256: 857fb0f6d2044581c1f4edd2c47190ac06d538415159e7c8aa16784afa708472
SHA512: b8e8ed4572d4420886d389f130ca23dfe7f1d01b35510d52bf19e6c4e8a36baced91fbdd20937074f52f8ace8156e0504eccf41e2bd757f76aa6de2577647dd5
Homepage: https://cran.r-project.org/package=WA
Description: CRAN Package 'WA' (While-Alive Loss Rate for Recurrent Event in the Presence ofDeath)
 Contains inferential and graphical routines for multi-group analysis of
 while-alive loss (or event) rate for possibly recurrent nonfatal event in
 the presence of death.

Package: r-cran-waccr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-rvest, r-cran-lubridate, r-cran-magrittr, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-waccr_0.1.0-1.ca2004.1_all.deb
Size: 20712
MD5sum: 7fc1cae2da701af6f41ca8baed8098d0
SHA1: d9f02910e4e6caca1c4f1354ecf01b28411eab5e
SHA256: d7d89ef795c3a00d7ee5bf4fc52a5ba79dd95b81dfe06993f074a83dfc573d01
SHA512: e733e0b255f2355bcedf1d8f2c28030423c6b6fe8b588a5c8b3a9b15c2633c8889016262b26700b5834ea4e71c147fcd75cda1af57643eda9b5298ce373e5017
Homepage: https://cran.r-project.org/package=waccR
Description: CRAN Package 'waccR' (Cost of Capital by Sector Data)
 Downloads and tidies Aswath Damodaran's Cost of Capital Data.

Package: r-cran-wacolors
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 409
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-cli, r-cran-rstudioapi, r-cran-colorspace, r-cran-viridis, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wacolors_0.3.1-1.ca2004.1_all.deb
Size: 284560
MD5sum: d03e203377b27c204d6638a0938d642c
SHA1: e851bd2f3c730477b718c43ed84f2d53a4262eb1
SHA256: c645a724a684bca941fdb963b73dd1fe471148875878b5a862a149b4b8b59538
SHA512: d1ad36ebf3f482d8a8a484197bfc7f4063bf4f850a67a5c80115bd721c5f63c99bc69f8cd27dd3afbec1c17d2dd1f87f9c2ab0a6d6198db26bafdaa5b05b10d9
Homepage: https://cran.r-project.org/package=wacolors
Description: CRAN Package 'wacolors' (Colorblind-Friendly Palettes from Washington State)
 Color palettes taken from the landscapes and cities of Washington state.
 Colors were extracted from a set of photographs, and then combined to form a
 set of continuous and discrete palettes.  Continuous palettes were designed
 to be perceptually uniform, while discrete palettes were chosen to maximize
 contrast at several different levels of overall brightness and saturation.
 Each palette has been evaluated to ensure colors are distinguishable by
 colorblind people.

Package: r-cran-wacs
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 320
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mclust, r-cran-mnormt, r-cran-tmvtnorm, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-wacs_1.1.0-1.ca2004.1_all.deb
Size: 292380
MD5sum: 4bc63a7d5651f5cc399e77f80faed210
SHA1: 3c6a13808304ab3e579f82b903913301e2746a04
SHA256: e9a1df69141e3c7ccad813d1ec4e9d01b41518a7a82bad8f955a79e8df8c6d62
SHA512: ad1ddd2c331658fa2412002422537fb09d8439f5b4ee1ceeaf9de5d07bf52c6bc38947b7f122926c49b4ae417d391ecee4f4a0faae213cff58ab39b19f4b7677
Homepage: https://cran.r-project.org/package=WACS
Description: CRAN Package 'WACS' (Multivariate Weather-State Approach Conditionally Skew-NormalGenerator)
 A multivariate weather generator for daily climate variables based on
 weather-states (Flecher et al. (2010) <doi:10.1029/2009WR008098>).  It uses
 a Markov chain for modeling the succession of weather states.  Conditionally
 to the weather states, the multivariate variables are modeled using the
 family of Complete Skew-Normal distributions. Parameters are estimated on
 measured series. Must include the variable 'Rain' and can accept as many
 other variables as desired.

Package: r-cran-wactor
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xgboost, r-cran-tokenizers, r-cran-text2vec, r-cran-r6, r-cran-tibble, r-cran-ggplot2, r-cran-matrix
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-wactor_0.0.1-1.ca2004.1_all.deb
Size: 170068
MD5sum: 4f274440b2b8c895c98a1217a14146ad
SHA1: f9577522ebc6eeb894889024b7da1be121a15538
SHA256: dcdf72ca41255f589487c7177eac5dda7ec2f3704e5196332cbc2856307dc650
SHA512: 586d6b227377ba13271727f6f146eec271dd74f9e4966e62fef101126287279828f5318d6a93a63915d009aaa4505b80737a10cc99256ce383c9a11f2d7c348d
Homepage: https://cran.r-project.org/package=wactor
Description: CRAN Package 'wactor' (Word Factor Vectors)
 A user-friendly factor-like interface for converting strings of text into
 numeric vectors and rectangular data structures.

Package: r-cran-waetr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-tibble
Suggests: r-cran-mockery, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-waetr_0.1.0-1.ca2004.1_all.deb
Size: 99016
MD5sum: 7397053af1e0896390c3a4b75517d650
SHA1: 9622058c2660b23029b6c79b0ad5b2edbe57b50e
SHA256: dba8cf902a2c1529c44071bcce1612febdc198db63518ff2b98f791c9a8b6713
SHA512: 5f157df4d464d2bd5b264377e91f17ae680abedb99c81be76ab85506df8e217a71101fa77821df70424684f32aadb99781434ea78cf6f88b3e267e7d2f5af24a
Homepage: https://cran.r-project.org/package=waetr
Description: CRAN Package 'waetr' ('WebAIM' 'WAVE' Accessibility Evaluation Tool)
 An R interface to the 'WebAIM' 'WAVE' accessibility evaluation API
 <https://wave.webaim.org/api/>. This package provides tools for analyzing
 web pages for accessibility issues, generating reports, and comparing
 accessibility across multiple websites.

Package: r-cran-waffle
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1689
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-gridextra, r-cran-gtable, r-cran-extrafont, r-cran-curl, r-cran-stringr, r-cran-htmlwidgets, r-cran-dt, r-cran-plyr, r-cran-rlang
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggthemes
Filename: pool/dists/focal/main/r-cran-waffle_1.0.2-1.ca2004.1_all.deb
Size: 1521916
MD5sum: 9b723823169ba51cd18d14d0650e94cb
SHA1: f49ef78bcd5259d43d301ff7385dc2c84b3c1747
SHA256: 1a0ea8728b186094c6ef6e6d3217568df27a0cc34257c2aa94369c7bc3a9e19a
SHA512: f0ebdaf537400d5632997a0184bfb9644af2f0764af80733047021d71af6d977cc52f9e05b133415550aba0e90ac1a1383523eb06fda5bdc30574ffab243fc20
Homepage: https://cran.r-project.org/package=waffle
Description: CRAN Package 'waffle' (Create Waffle Chart Visualizations)
 Square pie charts (a.k.a. waffle charts) can be used to communicate parts of
 a whole for categorical quantities. To emulate the percentage view of a pie
 chart, a 10x10 grid should be used with each square representing 1% of the
 total. Modern uses of waffle charts do not necessarily adhere to this rule
 and can be created with a grid of any rectangular shape. Best practices
 suggest keeping the number of categories small, just as should be done when
 creating pie charts. Tools are provided to create waffle charts as well as
 stitch them together, and to use glyphs for making isotype pictograms.

Package: r-cran-wahc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wahc_1.0-1.ca2004.1_all.deb
Size: 19960
MD5sum: 6e0f68d95804c6456684045d2a4adb17
SHA1: 48e14a539f262005c326cde872d1b8e839a23702
SHA256: e7abf23a1752275eb2b9ed86e953a306e2b41b1267931580563850cf63799c27
SHA512: 0a03c448cdade81ec8521b6fd8af40ed50874258f326d92734d56b3079022c89f1f3fb2df2044aba9574b942412a58e16cdaf2e9fb37329ff60732752f66eafe
Homepage: https://cran.r-project.org/package=wahc
Description: CRAN Package 'wahc' (Autocorrelation and Heteroskedasticity Correction in FixedEffect Panel Data Model)
 Fit the fixed effect panel data model with heteroskedasticity and
 autocorrelation correction.

Package: r-cran-waiter
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 769
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-r6, r-cran-shiny, r-cran-htmltools
Suggests: r-cran-httr, r-cran-knitr, r-cran-packer, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-waiter_0.2.5-1.ca2004.1_all.deb
Size: 444860
MD5sum: 596b87f0cef033d18fca2f1aea2c472a
SHA1: df86a4f56c62a4001bcf0b6adade0c98c14ca2f0
SHA256: 24052e6f0306a12480bffb215e92fc9d557b2cb9a0c62f24e551262589390948
SHA512: c6d0de4e8f4b996f17ce05ad15a658d97fc8017a6032c1f22795fa46f4198a3e63cc97d2e256cfe1f3fe818e25da544df1e48951f807eb368c074b85fa138d45
Homepage: https://cran.r-project.org/package=waiter
Description: CRAN Package 'waiter' (Loading Screen for 'Shiny')
 Full screen and partial loading screens for 'Shiny' with spinners, progress
 bars, and notifications.

Package: r-cran-wakefield
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1263
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-chron, r-cran-ggplot2, r-cran-dplyr, r-cran-stringi
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wakefield_0.3.6-1.ca2004.1_all.deb
Size: 1216212
MD5sum: 8762b9c3ba07ee27b008833bd70d2a1f
SHA1: c13e3127cac9407d69b29f1b51c9cf20ab9a8270
SHA256: 97b566904e9f6e18aa805e260b8a6c268e7f5329a067ef749e8277170a4dbe18
SHA512: 4b69bb3686460a71cdfe37262a9e27da0dbe8b53f8f82d04d46a3849c451b678cffb77b5fa3fcc3f3452ef5cf5e0e8908728dd460ce4323b7fb6fe9ce4f2da09
Homepage: https://cran.r-project.org/package=wakefield
Description: CRAN Package 'wakefield' (Generate Random Data Sets)
 Generates random data sets including: data.frames, lists, and vectors.

Package: r-cran-wal
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 578
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-freesurferformats, r-cran-imager, r-cran-jpeg, r-cran-png, r-cran-spacesxyz
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wal_0.1.1-1.ca2004.1_all.deb
Size: 438076
MD5sum: 53d0c5d0d37ca9ac26341590cfd6b439
SHA1: 4b0f98f84184dc72571ea984dd8bf9d56c9fc999
SHA256: 6d81a1e5ab4ec5bc7da73eed076f9ae78f16d1f1ed093b8c9d7af8df5db07963
SHA512: 28dfdec23a46b297ec72a0fb067fba3768b8253b8289744d8258f7a23eff2d6e02492ee314c996f1a21e8273895afba5e5d4e949c4cb484001433aeb10968927
Homepage: https://cran.r-project.org/package=wal
Description: CRAN Package 'wal' (Read and Write 'wal' Bitmap Image Files and Other 'Quake' Assets)
 Read 'Quake' assets including bitmap images and textures in 'wal' file
 format. This package also provides support for extracting these assets from
 'WAD' and 'PAK' file archives. It can also read models in 'MDL' and 'MD2'
 formats.

Package: r-cran-waldo
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 176
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-diffobj, r-cran-glue, r-cran-rlang
Suggests: r-cran-bit64, r-cran-r6, r-cran-s7, r-cran-testthat, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-waldo_0.6.1-1.ca2004.1_all.deb
Size: 133536
MD5sum: aa7436455a3c29ce534e2036923d3f42
SHA1: 2965ae883d59a97bc27069f8fd70555eca721b2d
SHA256: 9fa77c8d6f2dffdc8b807c21f4b0a0a5a073f3f8484719c20c2625a6a7028342
SHA512: e13a952fbb5859d8c83a9a19f1b5cc0f306b15501d1d51b58a33485492cced628c29ba22aafdd92e18b648ce54cbd83c4606c1e96d2b9ead00d0ecb95b2ceb85
Homepage: https://cran.r-project.org/package=waldo
Description: CRAN Package 'waldo' (Find Differences Between R Objects)
 Compare complex R objects and reveal the key differences.  Designed
 particularly for use in testing packages where being able to quickly isolate
 key differences makes understanding test failures much easier.

Package: r-cran-walkboutr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-geosphere, r-cran-ggforce, r-cran-ggplot2, r-cran-lubridate, r-cran-lwgeom, r-cran-magrittr, r-cran-measurements, r-cran-sf, r-cran-sp, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-walkboutr_0.6.0-1.ca2004.1_all.deb
Size: 529564
MD5sum: eb1b08c9ab71f6986b8b2f79581311e9
SHA1: 35a98a05ff5cbbf968ff8c898c01b897d8c9280d
SHA256: 8ceb1c66f9d85c79359deb82c2e29dbdca950eb03f9aab79707af7ffe03e726d
SHA512: 8857af59b51fffcdd65b6d52495de851bc658f3c69a649f3cbbc3246c5e91d3a4dafc6cfefe3d9d4093a239218cab6941ac037eafd5cb23e1831b71338676806
Homepage: https://cran.r-project.org/package=walkboutr
Description: CRAN Package 'walkboutr' (Generate Walk Bouts from GPS and Accelerometry Data)
 Process GPS and accelerometry data to generate walk bouts. A walk bout is a
 period of activity with accelerometer movement matching the patterns of
 walking with corresponding GPS measurements that confirm travel. The inputs
 of the 'walkboutr' package are individual-level accelerometry and GPS data.
 The outputs of the model are walk bouts with corresponding times, duration,
 and summary statistics on the sample population, which collapse all
 personally identifying information. These bouts can be used to measure
 walking both as an outcome of a change to the built environment or as a
 predictor of health outcomes such as a cardioprotective behavior. Kang B,
 Moudon AV, Hurvitz PM, Saelens BE (2017) <doi:10.1016/j.trd.2017.09.026>.

Package: r-cran-walkscore
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-walkscore_0.1.2-1.ca2004.1_all.deb
Size: 16648
MD5sum: 9c01ae54c24233e4fc0888c15c323afb
SHA1: d34beb8416f471093c7aaf8fdc1b5b88b82f03f9
SHA256: c9e8470b6fb0e20a53e516887bcfadd1d67a57952d5da49b0c5cf8fb2f97c3a2
SHA512: a45fd894e2f772b26fa16a57d51061d347012656a9e256dfc2eaf060e87f6659b5dc315d7cd3f6716b208f59ce3ff688d5bd22699fd15c36e3e5111e38422387
Homepage: https://cran.r-project.org/package=walkscore
Description: CRAN Package 'walkscore' (A Tidy Interface to the 'Walk Score' API)
 Easily collect walk scores, bike scores, and transit scores (where
 available) from the 'Walk Score' API
 <https://www.walkscore.com/professional/api.php>, a proprietary API that
 assigns locations a walkability score between 0 and 100.

Package: r-cran-walkscoreapi
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-walkscoreapi_1.2-1.ca2004.1_all.deb
Size: 63220
MD5sum: 17b4a105a7d6bf3d8ae47752e73ac84a
SHA1: 9ec6714571bb97c435a3cbc472ec5ce19ca75b79
SHA256: 037fa68eca72f0c68749ab0b9270de2efede813a4d780666938922b3db1749d7
SHA512: a18efb90c1978c126b4138f59b29729bb77ad56d7cf6e469417bbc40bcf3587c03e15cf9089e7179df0866d29c67b4fcb7a936950d732827ee1edee847a76610
Homepage: https://cran.r-project.org/package=walkscoreAPI
Description: CRAN Package 'walkscoreAPI' (Walk Score and Transit Score API)
 A collection of functions to perform the Application Programming Interface
 (API) calls associated with the Walk Score website (www.walkscore.com)
 within the R environment.  These functions can be used to query the Walk
 Score and Transit Score database for a wide variety of information using R
 scripts. This package includes the simple Walk Score and Transit Score API
 calls, which return the scores associated with an input location, as well as
 calls which return some data used to calculate the scores. These functions
 are especially useful for mass data collection and gathering Walk Score and
 Transit Score values for large lists of locations.

Package: r-cran-wallace
Architecture: all
Version: 2.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2568
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-leaflet, r-cran-dplyr, r-cran-dt, r-cran-ecospat, r-cran-enmeval, r-cran-geodata, r-cran-knitcitations, r-cran-leafem, r-cran-leaflet.extras, r-cran-magrittr, r-cran-markdown, r-cran-rcolorbrewer, r-cran-rjava, r-cran-rlang, r-cran-rmarkdown, r-cran-sf, r-cran-shinyalert, r-cran-shinyjs, r-cran-shinywidgets, r-cran-spocc, r-cran-spthin, r-cran-zip
Suggests: r-cran-ade4, r-cran-bien, r-cran-dismo, r-cran-glue, r-cran-jsonlite, r-cran-knitr, r-cran-mapview, r-cran-maxnet, r-cran-occcite, r-cran-predicts, r-cran-rangemodelmetadata, r-cran-raster, r-cran-rgbif, r-cran-sp, r-cran-terra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wallace_2.2.0-1.ca2004.1_all.deb
Size: 1795444
MD5sum: bf4ea24593be12e19fec7675fb572585
SHA1: 1ef91e1847cc5fbd0bb35f8a59404a0ad93b9b22
SHA256: 062d07603aa23dbb8efaacf9c2163ea8820be5dc61a77f6f69ee83b2b6e364c7
SHA512: ca29b324824b9de984b205ae4af227f53110e2bc771b015a8f3899517f107d76c37ee1fcfe1046b79cee1a219a3d49471e08a4fbdf5484e521df4344f772ed32
Homepage: https://cran.r-project.org/package=wallace
Description: CRAN Package 'wallace' (A Modular Platform for Reproducible Modeling of Species Nichesand Distributions)
 The 'shiny' application Wallace is a modular platform for reproducible
 modeling of species niches and distributions. Wallace guides users through a
 complete analysis, from the acquisition of species occurrence and
 environmental data to visualizing model predictions on an interactive map,
 thus bundling complex workflows into a single, streamlined interface. An
 extensive vignette, which guides users through most package functionality
 can be found on the package's GitHub Pages website:
 <https://wallaceecomod.github.io/wallace/articles/tutorial-v2.html>.

Package: r-cran-wallomicsdata
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3583
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wallomicsdata_1.0-1.ca2004.1_all.deb
Size: 3568936
MD5sum: baf54420c8294b501a3d79c64d4be208
SHA1: d5fb96894893d8eab7ece1a1fc55971ba068dc15
SHA256: 32dbfa710bdb4128683dad2e02544d7ab84b94a40dae874b2a2024687e85961e
SHA512: 1b31c4f8eb9b585fcfa1f0a2d93e41aee38d817dd9d371c4c7bbac333bb1845542ddb36d65b5b0bcbc158005bb935f1e2d5f5b438e9e2110b221a03fa77a9aa4
Homepage: https://cran.r-project.org/package=WallomicsData
Description: CRAN Package 'WallomicsData' (Datasets for Multi-Omics Integration in a Plant Abiotic StressContext)
 Datasets from the WallOmics project. Contains phenomics, metabolomics,
 proteomics and transcriptomics data collected from two organs of five
 ecotypes of the model plant Arabidopsis thaliana exposed to two temperature
 growth conditions. Exploratory and integrative analyses of these data are
 presented in Durufle et al (2020) <doi:10.1093/bib/bbaa166> and Durufle et
 al (2020) <doi:10.3390/cells9102249>.

Package: r-cran-wally
Architecture: all
Version: 1.0.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 217
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-prodlim, r-cran-riskregression, r-cran-data.table
Suggests: r-cran-testthat, r-cran-survival
Filename: pool/dists/focal/main/r-cran-wally_1.0.10-1.ca2004.1_all.deb
Size: 109808
MD5sum: a12619141bdf37d54bf5f47a7fa83d7d
SHA1: c864fec0af7c9e9e0ea5b5eadacf01add8aca2d3
SHA256: 4883b1ec9e8eac019dfb64c89cbb74086de58e8b9574a1eec23438b8be375e17
SHA512: 06a27965bd07d740413bdcd385a6dfe64ceaaffcd38ed5b2e09f65f753c9dfc784aa78474eb37b3de061097deaed48b1ff5ec8553fc8acdc7ed31622edd01e2d
Homepage: https://cran.r-project.org/package=wally
Description: CRAN Package 'wally' (The Wally Calibration Plot for Risk Prediction Models)
 A prediction model is calibrated if, roughly, for any percentage x we can
 expect that x subjects out of 100 experience the event among all subjects
 that have a predicted risk of x%. A calibration plot provides a simple, yet
 useful, way of assessing the calibration assumption. The Wally plot consists
 of a sequence of usual calibration plots. Among the plots contained within
 the sequence, one is the actual calibration plot which has been obtained
 from the data and the others are obtained from similar simulated data under
 the calibration assumption. It provides the investigator with a direct
 visual understanding of the shape and sampling variability that are common
 under the calibration assumption. The original calibration plot from the
 data is included randomly among the simulated calibration plots, similarly
 to a police lineup. If the original calibration plot is not easily
 identified then the calibration assumption is not contradicted by the data.
 The method handles the common situations in which the data contain censored
 observations and occurrences of competing events.

Package: r-cran-walmartapi
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-purrr, r-cran-httr, r-cran-tibble, r-cran-magrittr, r-cran-stringr, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-walmartapi_0.1.5-1.ca2004.1_all.deb
Size: 43524
MD5sum: f7fefa3746ca76c3912f1838ba755edf
SHA1: 8c0132fbb88bfd758eedff877eac3e5fdd5c24b0
SHA256: 2fe77f60d805d9a69426768a5c1118d461195286889feb8b289cc9e3cd03ca8e
SHA512: a43e73695f60b1c92f64d9ea014683b60598280b93551d874364d6a91041fe2576a63a62a5d2f52990c274f350d37d5031eea0afc6e4277d4df1f5b9c6e5b5c0
Homepage: https://cran.r-project.org/package=walmartAPI
Description: CRAN Package 'walmartAPI' (Walmart Open API Wrapper)
 Provides API access to the Walmart Open API
 <https://developer.walmartlabs.com/>, that contains data about stores, Value
 of the day and products which includes names, sale prices, shipping rates
 and taxonomies.

Package: r-cran-walrus
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 660
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-wrs2, r-cran-ggplot2, r-cran-jmvcore, r-cran-r6
Suggests: r-cran-mass
Filename: pool/dists/focal/main/r-cran-walrus_1.0.5-1.ca2004.1_all.deb
Size: 552484
MD5sum: 09464037574b28250cf044ace0a5f83d
SHA1: 122ae1111396db7b5012ed91f2d9da020888ecd7
SHA256: f37ff1e314608d6d37c67ab527cfbf07fa5800a263040f679423a07f9e0b9946
SHA512: 9086934cfe6fab303fe5ce8ba08b4bbce4062307d57a8550b2ff064f912bf0808acd5aced4c9fee54726cb1b8a9024c40afe98c62b7b7d4f95d6b5fe1f6a64f4
Homepage: https://cran.r-project.org/package=walrus
Description: CRAN Package 'walrus' (Robust Statistical Methods)
 A toolbox of common robust statistical tests, including robust descriptives,
 robust t-tests, and robust ANOVA. It is also available as a module for
 'jamovi' (see <https://www.jamovi.org> for more information).  Walrus is
 based on the WRS2 package by Patrick Mair, which is in turn based on the
 scripts and work of Rand Wilcox. These analyses are described in depth in
 the book 'Introduction to Robust Estimation & Hypothesis Testing'.

Package: r-cran-wals
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 385
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-formula, r-cran-mass, r-cran-rdpack
Suggests: r-cran-aer, r-cran-bayesvarsel, r-cran-bms, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wals_0.2.5-1.ca2004.1_all.deb
Size: 339264
MD5sum: a177851cf93c617bc6af3f85e1120c6a
SHA1: 2d5c5fb0674ee2bd35f40e62139c8b5600921568
SHA256: a19adb0452624e7a79c656e4ce1f92d7f5f3a5d14593b34339b1534fa4e8e74b
SHA512: 52e92a9bd735316e756c725bd7d92ab608e0b6c340107504c892a2ce1e8dcba2fc505183c374f7a89b13c7c220b44b7bece1d4bbdac8b16cad84e5e661314dbc
Homepage: https://cran.r-project.org/package=WALS
Description: CRAN Package 'WALS' (Weighted-Average Least Squares Model Averaging)
 Implements Weighted-Average Least Squares model averaging for negative
 binomial regression models of Huynh (2024) <doi:10.48550/arXiv.2404.11324>,
 generalized linear models of De Luca, Magnus, Peracchi (2018)
 <doi:10.1016/j.jeconom.2017.12.007> and linear regression models of Magnus,
 Powell, Pruefer (2010) <doi:10.1016/j.jeconom.2009.07.004>, see also Magnus,
 De Luca (2016) <doi:10.1111/joes.12094>. Weighted-Average Least Squares for
 the linear regression model is based on the original 'MATLAB' code by Magnus
 and De Luca <https://www.janmagnus.nl/items/WALS.pdf>, see also Kumar,
 Magnus (2013) <doi:10.1007/s13571-013-0060-9> and De Luca, Magnus (2011)
 <doi:10.1177/1536867X1201100402>.

Package: r-cran-wamasim
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wamasim_1.0.0-1.ca2004.1_all.deb
Size: 68260
MD5sum: 3ffa065fba04d0ec60206458c2a5d671
SHA1: 17557af23ad62ed869a7ab3e9307076aa1d08a42
SHA256: 2704145678b53b8e942533093252ebcfad10b7c56ee42d6bbe813475142ebc9b
SHA512: ba1fee5e1f599c47376fa32ee5d8c5f8dd03a72e0cb7ca9d692494337e392598af7e1e23c817693eb1efd1c471250d9da83804651ffbafded1863a79e31648d7
Homepage: https://cran.r-project.org/package=WaMaSim
Description: CRAN Package 'WaMaSim' (Simulate Rehabilitation Strategies for Water DistributionSystems)
 The outcome of various rehabilitation strategies for water distribution
 systems can be modeled with the Water Management Simulator (WaMaSim). Pipe
 breaks and the corresponding damage and rehabilitation costs are simulated.
 It is mainly intended to be used as educational tool for the Water
 Infrastructure Experimental and Computer Laboratory at ETH Zurich,
 Switzerland.

Package: r-cran-wand
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 604
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-wand_0.5.0-1.ca2004.1_all.deb
Size: 178668
MD5sum: ec1148c1f71165d24dfb3b1c1863ce7f
SHA1: f775ce18125aea2fc6512c54e63264dbecd58be7
SHA256: fcff8a126e05ece03182fbffc00649b4968c706ff62529520050866b8dd8a0fb
SHA512: c51dc97d4331457225728d5928eba76fa2d105f25fb1223437eb48c35651c4cfb8765c1334da1d969aa7d02df9fa47a91c9552e128dea5ac893da8c0ca50b47f
Homepage: https://cran.r-project.org/package=wand
Description: CRAN Package 'wand' (Retrieve 'Magic' Attributes from Files and Directories)
 'MIME' types are shorthand descriptors for file contents and can be
 determined from "magic" bytes in file headers, file contents or intuited
 from file extensions. Tools are provided to perform curated "magic" tests as
 well as mapping 'MIME' types from a database of over 1,500 extension
 mappings.

Package: r-cran-wanova
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-car, r-cran-suppdists
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wanova_0.4.0-1.ca2004.1_all.deb
Size: 40520
MD5sum: 489eeba90b090fc46da1b8c3d3c30679
SHA1: 1da2b929cf8d5d5a56d6f93d8ff544f0a8546231
SHA256: a409d3046a2c247a93283ac6add6230fb37cff226a67d5eed3c73d5e64ce6005
SHA512: 915dada234186b45d1018d3a68178ad65ddb62edd88b6871dd9e08e15ea2a8243ea7c3f5a5b1e2bf0c16e70b240d45d7b346cecb5b9eaa177511874b481b3f02
Homepage: https://cran.r-project.org/package=WAnova
Description: CRAN Package 'WAnova' (Welch's Anova from Summary Statistics)
 Provides the functions to perform a Welch's one-way Anova with fixed effects
 based on summary statistics (sample size, means, standard deviation) and the
 Games-Howell post hoc test for multiple comparisons and provides the effect
 size estimator adjusted omega squared.  In addition sample size estimation
 can be computed based on Levy's method, and a Monte Carlo simulation is
 included to bootstrap residual normality and homoscedasticity Welch, B. L.
 (1951) <doi:10.1093/biomet/38.3-4.330> Kirk, R. E. (1996)
 <doi:10.1177/0013164496056005002> Carroll, R. M., & Nordholm, L. A. (1975)
 <doi:10.1177/001316447503500304> Albers, C., & Lakens, D. (2018)
 <doi:10.1016/j.jesp.2017.09.004> Games, P. A., & Howell, J. F. (1976)
 <doi:10.2307/1164979> Levy, K. J. (1978a) <doi:10.1080/00949657808810246>
 Show-Li, J., & Gwowen, S. (2014) <doi:10.1111/bmsp.12006>.

Package: r-cran-warabandi
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 149
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate, r-cran-readtext, r-cran-flextable
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-warabandi_0.1.0-1.ca2004.1_all.deb
Size: 60476
MD5sum: 8f54e142da9aaf6d848ee1923759dc73
SHA1: ab6b605d5ef669e211d9e7905943026c7be8c996
SHA256: 791ee26fcf060979af44f7756cef7e25fa12e96de78f57e114b5d603ebe4969c
SHA512: d8d8c4a6a1ad5068838977242dc36349d36db4f33d3cf6a466df1e7304797e2048177cbc392a7a0c2a8e4b371b634887c006a44a5db6665ab60c3bd5ae21dbe4
Homepage: https://cran.r-project.org/package=warabandi
Description: CRAN Package 'warabandi' (Roster Generation of Turn for Weekdays:'warabandi')
 It generates the roster of turn for an outlet which is flowing (water) 24X7
 or 168 hours towards the area under command or agricutural area (to be
 irrigated). The area under command is differentially owned by different
 individual farmers. The Outlet runs for free of cost to irrigate the area
 under command 24X7.  So, flow time of the outlet has to be divided based on
 an area owned by an individual farmer and the location of his land or farm.
 This roster is known as 'warabandi' and its generation in agriculture
 practices is a very tedious task. Calculations of time in microseconds are
 more error-prone, especially whenever it is performed by hands. That
 division of flow time for an individual farmer can be calculated by
 'warabandi'.  However, it generates a full publishable report for an outlet
 and all the farmers who have farms subjected to be irrigated.  It reduces
 error risk and makes a more reproducible roster. For more details about
 warabandi system you can found elsewhere in Bandaragoda DJ(1995)
 <https://publications.iwmi.org/pdf/H_17571i.pdf>.

Package: r-cran-warden
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1902
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-purrr, r-cran-data.table, r-cran-foreach, r-cran-future, r-cran-dofuture, r-cran-flexsurv, r-cran-mass, r-cran-zoo, r-cran-progressr, r-cran-magrittr, r-cran-rlang, r-cran-tidyr
Suggests: r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-kableextra, r-cran-diagrammer, r-cran-testthat, r-cran-survminer, r-cran-survival
Filename: pool/dists/focal/main/r-cran-warden_1.2.2-1.ca2004.1_all.deb
Size: 1033640
MD5sum: fcd969e4e1ffddcce27dc02b77d1fcc2
SHA1: d5d7bba8ec66678dd1d242f4168eff1cf643e0fa
SHA256: dddb7ce01f39add7dbcd1a58c673ae67aef4adeaf2958d34bcc049c317e5bf31
SHA512: 62f4a41becf30a1286f185b0e2348e603f8136553943978b56bba3529a0f765d6ad631482e804e275d3271b86726f5cd79ddeecde4164306b79e29deaab7cb25
Homepage: https://cran.r-project.org/package=WARDEN
Description: CRAN Package 'WARDEN' (Workflows for Health Technology Assessments in R using DiscreteEveNts)
 Toolkit to support and perform discrete event simulations without resource
 constraints in the context of health technology assessments (HTA).  The
 package focuses on cost-effectiveness modelling and aims to be
 submission-ready to relevant HTA bodies in alignment with 'NICE TSD 15'
 <https://www.sheffield.ac.uk/nice-dsu/tsds/patient-level-simulation>.  More
 details an examples can be found in the package website
 <https://jsanchezalv.github.io/WARDEN/>.

Package: r-cran-warehousetools
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-clustersim
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-warehousetools_0.1.3-1.ca2004.1_all.deb
Size: 104048
MD5sum: 605b4bc6027e9f615bc80bb9d91a23dd
SHA1: f013bbfccdb22771d46b5e8c56494a4e5a0b777b
SHA256: 1b5d605271e8f9f27d2528a0ccd4a4dc16dce911e5288b8d6f73cf82a5fd54ed
SHA512: 654d4992e6f53bd4e49832d1be586c232e2ca841713753b0d02933ee2376d91d38f614cf72ccf458e8d2569db5f899a0fb104ec9d5459cf5d2a8989ec16dc070
Homepage: https://cran.r-project.org/package=warehouseTools
Description: CRAN Package 'warehouseTools' (Heuristics for Solving the Traveling Salesman Problem inWarehouse Layouts)
 Heuristic methods to solve the routing problems in a warehouse management.
 Package includes several heuristics such as the Midpoint, Return, S-Shape
 and Semi-Optimal Heuristics for designation of the picker’s route in order
 picking. The heuristics aim to provide the acceptable travel distances while
 considering warehouse layout constraints such as aisles and shelves.  It
 also includes implementation of the COPRAS (COmplex PRoportional ASsessment)
 method for supporting selection of locations to be visited by the picker in
 shared storage systems. The package is designed to facilitate more efficient
 warehouse routing and logistics operations.  see: Bartholdi, J. J., Hackman,
 S. T. (2019). "WAREHOUSE & DISTRIBUTION SCIENCE. Release 0.98.1."  The
 Supply Chain & Logistics Institute. H. Milton Stewart School of Industrial
 and Systems Engineering.  Georgia Institute of Technology.
 <https://www.warehouse-science.com/book/editions/wh-sci-0.98.1.pdf>.

Package: r-cran-warn
Architecture: all
Version: 1.2-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Filename: pool/dists/focal/main/r-cran-warn_1.2-5-1.ca2004.1_all.deb
Size: 110344
MD5sum: 43e9fcbee6703e1b28670040e4380ca6
SHA1: 9dd457723c3021c84b7c44b6e682614e1fd81648
SHA256: e059c973c5f79a6e5b791f32f0dd2ec5b6fe428e17a895e2b715c12ca03e86b2
SHA512: 4353af244a65d12943af9c12f24b732371dfd7430be8449b523b87c92c862958a3810417aa4c02673f4b5479b2793dd841d66e6b045d23c3f7c257627ed9276d
Homepage: https://cran.r-project.org/package=WARN
Description: CRAN Package 'WARN' (Weaning Age Reconstruction with Nitrogen Isotope Analysis)
 This estimates precise weaning ages for a given skeletal population by
 analyzing the stable nitrogen isotope ratios of them.  Bone collagen
 turnover rates estimated anew and the approximate Bayesian computation (ABC)
 were adopted in this package.

Package: r-cran-warpmix
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fda, r-cran-fields, r-cran-mass, r-cran-nlme, r-cran-lme4
Filename: pool/dists/focal/main/r-cran-warpmix_0.1.0-1.ca2004.1_all.deb
Size: 45220
MD5sum: 67407faee8eea38d175882b2272eaad3
SHA1: de88b9aa20c95c367a502773e80917148bf2b3a6
SHA256: b2ef2628206c643280435198f96e04327b659682dff1ef4837157e07b30b2530
SHA512: 024beae132bbbec24df08eed2dde5c71115122b8b936d479969b41c478a03895ef586414740fdf9f3044ab7483c6e40b935bdbf8be8ccd523598a7c0ce49ce73
Homepage: https://cran.r-project.org/package=warpMix
Description: CRAN Package 'warpMix' (Mixed Effects Modeling with Warping for Functional Data UsingB-Spline)
 Mixed effects modeling with warping for functional data using B- spline.
 Warping coefficients are considered as random effects, and warping functions
 are general functions, parameters representing the projection onto B- spline
 basis of a part of the warping functions. Warped data are modelled by a
 linear mixed effect functional model, the noise is Gaussian and independent
 from the warping functions.

Package: r-cran-washdata
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 884
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-washdata_0.1.4-1.ca2004.1_all.deb
Size: 762712
MD5sum: dc43b444edd5ca2f6ce56a9e62dfea27
SHA1: f69c6c27e49e6c301ea7ffe1d11b204b7b39c4d1
SHA256: 9fca69a1f487fe97f13e1586e0cb9697d471b32dcd58d6d4c0333d2a680f0739
SHA512: e4b5b50a21b3a5a1eb8de20799ff53cea591f6fa1fb192f72d4cb6cd995fd88413f611a7e6f301e08b6b377834999bddb0ac794730bb27546f7b83d01e812578
Homepage: https://cran.r-project.org/package=washdata
Description: CRAN Package 'washdata' (Urban Water and Sanitation Survey Dataset)
 Urban water and sanitation survey dataset collected by Water and Sanitation
 for the Urban Poor (WSUP) with technical support from Valid International.
 These citywide surveys have been collecting data allowing water and
 sanitation service levels across the entire city to be characterised, while
 also allowing more detailed data to be collected in areas of the city of
 particular interest. These surveys are intended to generate useful
 information for others working in the water and sanitation sector. Current
 release version includes datasets collected from a survey conducted in
 Dhaka, Bangladesh in March 2017. This survey in Dhaka is one of a series of
 surveys to be conducted by WSUP in various cities in which they operate
 including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo,
 Mozambique; and, Lusaka, Zambia. This package will be updated once the
 surveys in other cities are completed and datasets have been made available.

Package: r-cran-washer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gplots
Filename: pool/dists/focal/main/r-cran-washer_0.1.3-1.ca2004.1_all.deb
Size: 40100
MD5sum: f80dc85e94c5df10f78453a54b4a0754
SHA1: 83c1ae562287f9053564338c4afecc6a8515ecd6
SHA256: 51cbd7b8c5e9f0d9ba47abd8ac5f35fbf53794f83f77fa1c2b3f40e507d5ddbe
SHA512: 1232717854f0a154c33167e4a6fa63cd86838d2ce7e0824271e8448c4d95462a9d14a2403fabb764d5b6bfcbfea8bf323f545f8dedbe00ed726d9f30ec1c7c36
Homepage: https://cran.r-project.org/package=washeR
Description: CRAN Package 'washeR' (Time Series Outlier Detection)
 Time series outlier detection with non parametric test. This is a new
 outlier detection methodology (washer): efficient for time saving
 elaboration and implementation procedures, adaptable for general assumptions
 and for needing very short time series, reliable and effective as involving
 robust non parametric test. You can find two approaches: single time series
 (a vector) and grouped time series (a data frame). For other informations:
 Andrea Venturini (2011) Statistica - Universita di Bologna, Vol.71,
 pp.329-344. For an informal explanation look at R-bloggers on web.

Package: r-cran-washex
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang, r-cran-curl, r-cran-httr, r-cran-xml2, r-cran-xml
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-washex_1.2.0-1.ca2004.1_all.deb
Size: 94936
MD5sum: 1d808c2ac86e62284c26511f343415ed
SHA1: fe7c7e0c8057c82bfbea1d4f9880b74f2fb77643
SHA256: ae243f7b8c9e246710d093b3616e2a0c63b02aa5f7809363929b6e0a997d3db9
SHA512: 5a95ac3217ef5d57b1b0e61a1ea5c58751ccabf3ce961360bd495aa3b4613a95decf9a519eefef38071b20a4fb75f159c608df07074b29a2e1ce9acdd71d7f1d
Homepage: https://cran.r-project.org/package=washex
Description: CRAN Package 'washex' (Washington State Legislative Explorer)
 Gets data from the Washington State Legislature.

Package: r-cran-washi
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4992
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-cli, r-cran-flextable, r-cran-ggplot2, r-cran-officer, r-cran-scales, r-cran-systemfonts
Suggests: r-cran-covr, r-cran-forcats, r-cran-ragg, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-washi_0.2.0-1.ca2004.1_all.deb
Size: 4143644
MD5sum: 738f3dbb1e47493e0b499018bd8816db
SHA1: 82ea6b0ea0e5fb2224c7664ca22ab1fbd7aa3f43
SHA256: 41086578c7dbb76e95f2df18f7e51c135d39874fed4ae044fb948044186adb98
SHA512: 548cfd4b50d49bd04dcd13a01cc1eaf10094948f2e90489f29578141fa69c114b840d867e473d0b95d90a9c7399920a9422901edd7e5f6c504524d882a277547
Homepage: https://cran.r-project.org/package=washi
Description: CRAN Package 'washi' (Washington Soil Health Initiative Branding)
 Create plots and tables in a consistent style with WaSHI (Washington Soil
 Health Initiative) branding. Use 'washi' to easily style your 'ggplot2'
 plots and 'flextable' tables.

Package: r-cran-washr
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 103
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desc, r-cran-devtools, r-cran-cffr, r-cran-pkgdown, r-cran-rlang, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-washr_1.0.1-1.ca2004.1_all.deb
Size: 50332
MD5sum: 9a1ebbd4e527b476f1f00bef6a8e3755
SHA1: 040a49e1ef7a05a8dd036924c4594f5b8290ff94
SHA256: 65d76f64e105b1d0cf5a13e8817ced90dde7b506c7f02e7f973f4f84a39fea0d
SHA512: 1873c8a815bd70777aaafb88715996e8503ec87367da2c44c675754cad736a1f000208b6472cd84c6817860437b614d9cd2c88adcbfddb69216dffa61da9e9d9
Homepage: https://cran.r-project.org/package=washr
Description: CRAN Package 'washr' (Publication Toolkit for Water, Sanitation and Hygiene (WASH)Data)
 A toolkit to set up an R data package in a consistent structure. Automates
 tasks like tidy data export, data dictionary documentation, README and
 website creation, and citation management.

Package: r-cran-wasp
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3960
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-waveslim, r-cran-tidyr, r-cran-readr, r-cran-ggplot2, r-cran-sp, r-cran-zoo, r-cran-fitdistrplus
Suggests: r-cran-fnn, r-cran-spei, r-cran-knitr, r-cran-dplyr, r-cran-cowplot, r-cran-gridgraphics, r-cran-bookdown, r-cran-rmarkdown, r-cran-synthesis, r-cran-kableextra, r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wasp_1.4.4-1.ca2004.1_all.deb
Size: 3399956
MD5sum: 37683b93011167f6b37a505c3525904c
SHA1: ee905f2a5fd0590c53c5b0e3ffe0678a02e0834f
SHA256: e4be483e54dce39d44337fb95808b50265397b380b49cd5d1c976c1233a25e59
SHA512: dac5c0158506eb7da357d7a35547b0914b3a337b1a2a75926fc3278f48c58e5062d4a4256dffada2482360eb4b49669a7a65a69f704c7a841c1e58c6d2e9df47
Homepage: https://cran.r-project.org/package=WASP
Description: CRAN Package 'WASP' (Wavelet System Prediction)
 The wavelet-based variance transformation method is used for system
 modelling and prediction. It refines predictor spectral representation using
 Wavelet Theory, which leads to improved model specifications and prediction
 accuracy. Details of methodologies used in the package can be found in
 Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>,
 Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020)
 <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson,
 F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.

Package: r-cran-waspasr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 178
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-waspasr_0.1.5-1.ca2004.1_all.deb
Size: 110664
MD5sum: 339794a16068ce17a182e64354288375
SHA1: 1f274b60739ecbe4ad375c0bd7896227ee2fc8f6
SHA256: 9c17d217e685306142bec6e4483ef5f06ee8ebcfed967bc0679cbdebcdbd900b
SHA512: 571e92118708fc8986d449facd0d5a41eabedf45134c7511e696f0dd9e65ec70e80bb9077271d62cd7a231710a8ff6ddbd4f9e6c24a68cd469da9c838c3b2855
Homepage: https://cran.r-project.org/package=waspasR
Description: CRAN Package 'waspasR' (Tool Kit to Implement a W.A.S.P.A.S. Based Multi-CriteriaDecision Analysis Solution)
 Provides a set of functions to implement decision-making systems based on
 the W.A.S.P.A.S. method (Weighted Aggregated Sum Product Assessment),
 Chakraborty and Zavadskas (2012) <doi:10.5755/j01.eee.122.6.1810>.  So this
 package offers functions that analyze and validate the raw data, which must
 be entered in a determined format; extract specific vectors and matrices
 from this raw database; normalize the input data; calculate rankings by
 intermediate methods; apply the lambda parameter for the main method; and a
 function that does everything at once. The package has an example database
 called choppers, with which the user can see how the input data should be
 organized so that everything works as recommended by the decision methods
 based on multiple criteria that this package solves. Basically, the data are
 composed of a set of alternatives, which will be ranked, a set of choice
 criteria, a matrix of values for each Alternative-Criterion relationship, a
 vector of weights associated with the criteria, since certain criteria are
 considered more important than others, as well as a vector that defines each
 criterion as cost or benefit, this determines the calculation formula, as
 there are those criteria that we want the highest possible value (e.g.
 durability) and others that we want the lowest possible value (e.g. price).

Package: r-cran-waterdata
Architecture: all
Version: 1.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1520
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice, r-cran-latticeextra, r-cran-xml2, r-cran-lubridate, r-cran-dataretrieval
Suggests: r-cran-xtable, r-cran-maps, r-cran-mapdata
Filename: pool/dists/focal/main/r-cran-waterdata_1.0.8-1.ca2004.1_all.deb
Size: 1371908
MD5sum: c7c75ae0fc9cb80dcee29ea145ffa178
SHA1: 476564e70edeaf673ec5de5b9e03c4de536fe4cd
SHA256: 613170667cf23a89856e563de5071cb6e0c045ce209717488a77f8d49741e31e
SHA512: d9dc0a29ae29576bf525eb1b90ceef9d5f9c9da168b013ec80cef7a31fff85ed44477adb657ba9fe33dfd737713a78a7a669545a226ac985fdb5b41235bbae74
Homepage: https://cran.r-project.org/package=waterData
Description: CRAN Package 'waterData' (Retrieval, Analysis, and Anomaly Calculation of Daily HydrologicTime Series Data)
 Imports U.S. Geological Survey (USGS) daily hydrologic data from USGS web
 services (see <https://waterservices.usgs.gov/> for more information), plots
 the data, addresses some common data problems, and calculates and plots
 anomalies.

Package: r-cran-waterfall
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lattice
Filename: pool/dists/focal/main/r-cran-waterfall_1.0.2-1.ca2004.1_all.deb
Size: 38724
MD5sum: f9a62c9f22d5bfaa2b6e92fe4f3235ca
SHA1: 4bd5a0b3b59d670b36b8d165b26d975b1e0a2e6a
SHA256: 0e85784b861f2e9d2f836ba84e5294932b3d0c3d087d5d947a9661e60eadf313
SHA512: 989270483d875492e2c83916ac12695484d014b0d548ba9417ddde06e673d9731491d383c0911524b21ac61006cf85f136abba9bf0090b9ec1eace2945f9f6c4
Homepage: https://cran.r-project.org/package=waterfall
Description: CRAN Package 'waterfall' (Waterfall Charts)
 Provides support for creating waterfall charts in R using both traditional
 base and lattice graphics.

Package: r-cran-waterfalls
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 54
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-waterfalls_1.0.0-1.ca2004.1_all.deb
Size: 22812
MD5sum: ab4b7373ad4df7e08c34cf5f851baafa
SHA1: 907aa071a0c5675d33c79171f255aa3010380ac1
SHA256: 00b70b71cf7da10a175b4dc8eb06c0e60f5004c601ca082556614da5adad8d42
SHA512: 14c21529022c85ba81d30ec368980b53b5a196becb6e7550719e30d751895910be617983bb97a885c35213689559724f87988077678c07ec63a3b807666a4099
Homepage: https://cran.r-project.org/package=waterfalls
Description: CRAN Package 'waterfalls' (Create Waterfall Charts using 'ggplot2' Simply)
 A not uncommon task for quants is to create 'waterfall charts'. There seems
 to be no simple way to do this in 'ggplot2' currently. This package contains
 a single function (waterfall) that simply draws a waterfall chart in a
 'ggplot2' object. Some flexibility is provided, though often the object
 created will need to be modified through a theme.

Package: r-cran-waterquality
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4006
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-terra, r-cran-purrr, r-cran-caret, r-cran-magrittr, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-tibble, r-cran-rmarkdown, r-cran-covr, r-cran-tmap, r-cran-tmaptools, r-cran-sf
Filename: pool/dists/focal/main/r-cran-waterquality_1.0.0-1.ca2004.1_all.deb
Size: 2948244
MD5sum: 5a8c07588a04f1a5f5b74e827bca7c6a
SHA1: 83c7a5a0f8f7f13b9d7315e538802e00641303c2
SHA256: 918a76f8d33bd2d5526a17a6181f66a53a2b0ad2dab1a3f0fc95ad250b51daf8
SHA512: c985625a16fa3557dafa15c24ff6fc61f474a371a4a344643b115cd11636552c09ea4c3593bd7acfeabe1f48bf5ad011cf57985c76c9f92d93dc9d36a578dc52
Homepage: https://cran.r-project.org/package=waterquality
Description: CRAN Package 'waterquality' (Satellite Derived Water Quality Detection Algorithms)
 The main purpose of waterquality is to quickly and easily convert
 satellite-based reflectance imagery into one or many well-known water
 quality algorithms designed for the detection of harmful algal blooms or the
 following pigment proxies: chlorophyll-a, blue-green algae (phycocyanin),
 and turbidity.  Johansen et al. (2019) <doi:10.21079/11681/35053>.

Package: r-cran-watersheds
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1730
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-maptools, r-cran-rgeos, r-cran-lattice, r-cran-splancs
Filename: pool/dists/focal/main/r-cran-watersheds_1.1-1.ca2004.1_all.deb
Size: 1638680
MD5sum: 367d786bc63d6ed1a09e467de4257dc9
SHA1: 1beb5a2331d40a48a2e33e7c8a88cf2a4cf71891
SHA256: e1704c4c0b0df103badf7092edb25b9c9e4c2722f89251f2ad184758e4820fe8
SHA512: 67f3a44bbb09e6403aabea4462105bd5a5cf0fbce2ef1d80c199de8ae419dd8ce2d1fa60f25e339bc05959b14f7df595f3137a8db4527edc62cf36316744c845
Homepage: https://cran.r-project.org/package=Watersheds
Description: CRAN Package 'Watersheds' (Spatial Watershed Aggregation and Spatial Drainage NetworkAnalysis)
 Methods for watersheds aggregation and spatial drainage network analysis.

Package: r-cran-wateryeartype
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wateryeartype_1.0.1-1.ca2004.1_all.deb
Size: 15312
MD5sum: 71be60f498db0a8ba3305416d53a5456
SHA1: ac824bd4c0ad9b88b138054c93d52fc0e7d13939
SHA256: 41e19282bfeb5fd58287038fcfc5bc9ef6018a1d9f0c32765748c18d0fc60cb8
SHA512: 98e9b1cb13ee3ddad99bc0fffcd1ab4b78b9a91222197eb60633fb5e099c618f7a712dd45c626cc76fdb53c884c03e37b7a36a1dac42a9b427d72956e8552a4c
Homepage: https://cran.r-project.org/package=waterYearType
Description: CRAN Package 'waterYearType' (Sacramento and San Joaquin Valley Water Year Types)
 Provides Water Year Hydrologic Classification Indices based on measured
 unimpaired runoff (in million acre-feet). Data is provided by California
 Department of Water Resources and subject to revision.

Package: r-cran-wats
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2193
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-colorspace, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-rcolorbrewer, r-cran-rlang, r-cran-testit, r-cran-tibble, r-cran-zoo
Suggests: r-cran-boot, r-cran-covr, r-cran-devtools, r-cran-knitr, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wats_1.0.1-1.ca2004.1_all.deb
Size: 1614756
MD5sum: d9c2874a5dfb2422c0e5cb0c510d95e5
SHA1: 07522ba8146fcadb1340521c1acf0d787bf8d5ef
SHA256: e42aebab9ae94e0278db954e46e3f5578b4aadf354c2fccb340e86a3b8ef38bb
SHA512: 64cc143324960f289d2caa768a4d2d8b3dd2e29ee1c7e81ad8389c6cc9fc82ef1839c856b752b369f1aad0e35970ef0b26b14972f8f7393c37ee8bf415418845
Homepage: https://cran.r-project.org/package=Wats
Description: CRAN Package 'Wats' (Wrap Around Time Series Graphics)
 Wrap-around Time Series (WATS) plots for interrupted time series designs
 with seasonal patterns.  Longitudinal trajectories are shown in both
 Cartesian and polar coordinates.  In many scenarios, a WATS plot more
 clearly shows the existence and effect size of of an intervention.  This
 package accompanies "Graphical Data Analysis on the Circle: Wrap-Around Time
 Series Plots for (Interrupted) Time Series Designs" by Rodgers, Beasley, &
 Schuelke (2014) <doi:10.1080/00273171.2014.946589>; see 'citation("Wats")'
 for details.

Package: r-cran-waved
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 166
Depends: r-base-core (>= 4.3.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-waved_1.3-1.ca2004.1_all.deb
Size: 137392
MD5sum: f6c8b8e42bfd26ed206dc4e14d7a9ffb
SHA1: 4387386a91a1d53918a7c2cf5b2364f62ec7246f
SHA256: 45ff484128109ded5dc73c05465d4c81864ca281a62c0a51f6fd4f73670eaa16
SHA512: 018384cfd3c203b3b452d018f808a3d73f7e18c9d785894511f6a2baa48b16a944a4e689a53413a86dc957253c54b3135adce58deb048b964a7f96a8903aaaf4
Homepage: https://cran.r-project.org/package=waved
Description: CRAN Package 'waved' (Wavelet Deconvolution)
 Makes available code necessary to reproduce figures and tables in papers on
 the WaveD method for wavelet deconvolution of noisy signals as presented in
 The WaveD Transform in R, Journal of Statistical Software Volume 21, No. 3,
 2007.

Package: r-cran-wavefunction
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-lintr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wavefunction_1.0.0-1.ca2004.1_all.deb
Size: 18276
MD5sum: 4e4b8f7ad09c19f2ef834460534543d0
SHA1: 22d0033f3916827c9876337e23e85a45c28f95c2
SHA256: 4892a16343d113356afb27fb286ea5940195306ccf2ab25dee6136bc40b3480d
SHA512: 658b1e7fed6ea77d9c04b7163eb2fe34cc39e1a607508dcbec223288c016c0e93a2f2056b89749f79cab252f0b7a932640cc685d3cc6f57aeecc432c0f7495b8
Homepage: https://cran.r-project.org/package=wavefunction
Description: CRAN Package 'wavefunction' (Wave Function Representation of Real Distributions)
 Real probability distributions can be represented as the square of an
 orthogonal sum in the Hermite basis. This representation is formally similar
 to the representation of quantum mechanical states as wave functions, whose
 squared modulus is a probability density. This is described in more detail
 in "Wave function representation of probability distributions," by Madeleine
 B. Thompson <arXiv:1712.07764>. This package provides a reference
 implementation of the technique.

Package: r-cran-waveletann
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-wavelets, r-cran-fracdiff, r-cran-forecast, r-cran-metrics
Filename: pool/dists/focal/main/r-cran-waveletann_0.1.2-1.ca2004.1_all.deb
Size: 19212
MD5sum: 20773656b412f58e0352425a91af7d44
SHA1: 44b2963fd438306cd5de27a0dd58375ab657be0c
SHA256: 2dff5fb47946cdf61a51275678b6efe8a99e80049dc7986165dd68241ea5351c
SHA512: f951b282ee7c799fa7ef179a225ebb3cee14c1f4fdb1bb0c6adac2db4ab6a769dc8b1bdfa7791f0fd64389dbd08baaa330adacfc45747bc4956b7d07cb894cd6
Homepage: https://cran.r-project.org/package=WaveletANN
Description: CRAN Package 'WaveletANN' (Wavelet ANN Model)
 The wavelet and ANN technique have been combined to reduce the effect of
 data noise. This wavelet-ANN conjunction model is able to forecast time
 series data with better accuracy than the traditional time series model.
 This package fits hybrid Wavelet ANN model for time series forecasting using
 algorithm by Anjoy and Paul (2017) <DOI: 10.1007/s00521-017-3289-9>.

Package: r-cran-waveletarima
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-wavelets, r-cran-fracdiff, r-cran-forecast
Filename: pool/dists/focal/main/r-cran-waveletarima_0.1.2-1.ca2004.1_all.deb
Size: 19308
MD5sum: e31af6ad7356c013756c9e780af707f4
SHA1: 63928bfb488c488fec79458fc4d2979311f6bca4
SHA256: 5909a7811afc3419320ffa14dc0653e10f74505e6c14b4bc57c7a3bb05a8dd9f
SHA512: ca253e5e394ab5e3c988ddef7dbc88f66862fb3631574058c6fdca551fee9afae491f5a921459f7d3f226586cbe8235536460681d1b8cda4f1d09811922446bf
Homepage: https://cran.r-project.org/package=WaveletArima
Description: CRAN Package 'WaveletArima' (Wavelet-ARIMA Model for Time Series Forecasting)
 Noise in the time-series data significantly affects the accuracy of the
 ARIMA model. Wavelet transformation decomposes the time series data into
 subcomponents to reduce the noise and help to improve the model performance.
 The wavelet-ARIMA model can achieve higher prediction accuracy than the
 traditional ARIMA model. This package provides Wavelet-ARIMA model for time
 series forecasting based on the algorithm by Aminghafari and Poggi (2012)
 and Paul and Anjoy (2018) <doi:10.1142/S0219691307002002>
 <doi:10.1007/s00704-017-2271-x>.

Package: r-cran-waveletcomp
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 569
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-waveletcomp_1.2-1.ca2004.1_all.deb
Size: 540148
MD5sum: bfeda74711b483b11c02aa4fe9c3b16d
SHA1: 4206ff764264f64c73cd5273c87854281eba3166
SHA256: a6f30f3b9da5363a3f56631bbd2ff5b46636406a844343c53bb237d6c7d6897e
SHA512: 6fc7a6d20fce39719dbd26c43141bc3d717dd95e2ca123d378e089efafd08e36684949e2def9cfbd38fc13e0fb7051a0022dba2e9ef0769c55cc4510746c0031
Homepage: https://cran.r-project.org/package=WaveletComp
Description: CRAN Package 'WaveletComp' (Computational Wavelet Analysis)
 Wavelet analysis and reconstruction of time series, cross-wavelets and
 phase-difference (with filtering options), significance with simulation
 algorithms.

Package: r-cran-waveletets
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-metrics, r-cran-tseries, r-cran-wavelets, r-cran-forecast, r-cran-caretforecast
Filename: pool/dists/focal/main/r-cran-waveletets_0.1.0-1.ca2004.1_all.deb
Size: 18904
MD5sum: 4211756dd0e74c663885744bf1e1025c
SHA1: 44a67d09595a150ad5c832612e6c0d5ce00739d9
SHA256: d4c2cfcbdcd3795fc4d548f9ab10fd673936a20f7403a4d0d76aae2613f98113
SHA512: dbc62aeb0bd0dbe22b7968487e40a109f76edd633a8d487e893713ec1838f8042c541df426695bb6fbe8062e306d4145101e015a060164da0fc97e2fb610eaf7
Homepage: https://cran.r-project.org/package=WaveletETS
Description: CRAN Package 'WaveletETS' (Wavelet Based Error Trend Seasonality Model)
 ETS stands for Error, Trend, and Seasonality, and it is a popular time
 series forecasting method. Wavelet decomposition can be used for denoising,
 compression, and feature extraction of signals. By removing the
 high-frequency components, wavelet decomposition can remove noise from the
 data while preserving important features. A hybrid Wavelet ETS (Error
 Trend-Seasonality) model has been developed for time series forecasting
 using algorithm of Anjoy and Paul (2017) <DOI:10.1007/s00521-017-3289-9>.

Package: r-cran-waveletgarch
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavelets, r-cran-fints, r-cran-forecast, r-cran-rugarch, r-cran-fracdiff
Filename: pool/dists/focal/main/r-cran-waveletgarch_0.1.1-1.ca2004.1_all.deb
Size: 36988
MD5sum: e5ff14ca32b87d41b115b584fb351e5f
SHA1: deccd3fe3d84b1067e3790a2deee9180f6991450
SHA256: 168f0b35d98e35e4ff130bce3256dbe6fa1133babad917f20257f94f485cf930
SHA512: 203b3211361c78f5e8de3da7db66a6fa50096a51785adfefd4e9aec22602b05cd3e540a3e1e4e4e51e9b51c5f23cbc15ef924066adc2e435070c0925231e27df
Homepage: https://cran.r-project.org/package=WaveletGARCH
Description: CRAN Package 'WaveletGARCH' (Fit the Wavelet-GARCH Model to Volatile Time Series Data)
 Fits the combination of Wavelet-GARCH model for time series forecasting
 using algorithm by Paul (2015) <doi:10.3233/MAS-150328>.

Package: r-cran-waveletgbm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-caretforecast, r-cran-metrics, r-cran-tseries, r-cran-wavelets, r-cran-gbm
Filename: pool/dists/focal/main/r-cran-waveletgbm_0.1.0-1.ca2004.1_all.deb
Size: 22580
MD5sum: 7c1c3019917ce39671f49ff3da40e723
SHA1: 62f9feb445d098f6f35f81d70fd03427197457e0
SHA256: c6a4134929f63f2654ca5f09c00d97301d9fd33d3245544e03935f80fd4d942b
SHA512: 76e4fd57c3ee4bc0ed9870d76f0af386caccff86364ae7cee17a492bee41c44022b2216b7a31adbccba50277fc3037e133ce7b2ec35468506bd0122ec763c2f8
Homepage: https://cran.r-project.org/package=WaveletGBM
Description: CRAN Package 'WaveletGBM' (Wavelet Based Gradient Boosting Method)
 Wavelet decomposition method is very useful for modelling noisy time series
 data. Wavelet decomposition using 'haar' algorithm has been implemented to
 developed hybrid Wavelet GBM (Gradient Boosting Method) model for time
 series forecasting using algorithm by Anjoy and Paul (2017)
 <DOI:10.1007/s00521-017-3289-9>.

Package: r-cran-waveletknn
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-caretforecast, r-cran-metrics, r-cran-tseries, r-cran-wavelets
Filename: pool/dists/focal/main/r-cran-waveletknn_0.1.0-1.ca2004.1_all.deb
Size: 22404
MD5sum: 1ec13e0e6632db0a90e468476f8cb7fd
SHA1: 5525bb4038f218a016cc9b3aceca5c18992d5b37
SHA256: 16787a18d63c9fe1d6e602e0028c2643b2524a96e65b9ffd5ba9ba232a6292aa
SHA512: 9ed8c8ab0faac84b16aa3ca8e97564b5a67994f9135dba24f5d8efde6029adf6117d071e59b4a53b44e0a81775f82b8c613a20fffb2f8ea20feb23655de23c93
Homepage: https://cran.r-project.org/package=WaveletKNN
Description: CRAN Package 'WaveletKNN' (Wavelet Based K-Nearest Neighbor Model)
 The employment of the Wavelet decomposition technique proves to be highly
 advantageous in the modelling of noisy time series data. Wavelet
 decomposition technique using the "haar" algorithm has been incorporated to
 formulate a hybrid Wavelet KNN (K-Nearest Neighbour) model for time series
 forecasting, as proposed by Anjoy and Paul (2017)
 <DOI:10.1007/s00521-017-3289-9>.

Package: r-cran-waveletlstm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-caretforecast, r-cran-tseries, r-cran-wavelets, r-cran-tslstm
Filename: pool/dists/focal/main/r-cran-waveletlstm_0.1.0-1.ca2004.1_all.deb
Size: 20424
MD5sum: 0957f93a9cfe3757291f88e2e1cb8343
SHA1: 198c4be0728dadd24ce34db22be2c140f7349a71
SHA256: eaea06250f60594dbd8b8c115b5fa5e45c3fe4d74b2e6971aa7996c8503fbe11
SHA512: 0b76b3eaedabb41bf1771ae177d1f98e0a710247725aa0141e61a7ef15e76408417f269c3b4c32d2068e0e0dc2e7f763544d50de6806623a49454b6cce1aae8d
Homepage: https://cran.r-project.org/package=WaveletLSTM
Description: CRAN Package 'WaveletLSTM' (Wavelet Based LSTM Model)
 A wavelet-based LSTM model is a type of neural network architecture that
 uses wavelet technique to pre-process the input data before passing it
 through a Long Short-Term Memory (LSTM) network. The wavelet-based LSTM
 model is a powerful approach that combines the benefits of wavelet analysis
 and LSTM networks to improve the accuracy of predictions in various
 applications. This package has been developed using the algorithm of Anjoy
 and Paul (2017) and Paul and Garai (2021) <DOI:10.1007/s00521-017-3289-9>
 <doi:10.1007/s00500-021-06087-4>.

Package: r-cran-waveletml
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-wavelets, r-cran-tseries, r-cran-forecast, r-cran-fgarch, r-cran-atsa, r-cran-fints, r-cran-lsts, r-cran-earth, r-cran-caret, r-cran-neuralnet, r-cran-e1071, r-cran-pso
Filename: pool/dists/focal/main/r-cran-waveletml_0.1.0-1.ca2004.1_all.deb
Size: 50468
MD5sum: 4f296b7a7d3842a9c2bbc68697cb1bbf
SHA1: 4eca6b0abfa15e49ec998d770fc6908d3b201601
SHA256: 30da244e8449e63b50a05e6fc5f7a3bf5bb62739816c8e2218ad7f28926bcfb5
SHA512: 2ffbad94062432d0f53eb46d65bcf4fd9b15bbdf839237ad286a1878cb91f5c6bf6a6eb8cd240f57c83e89c52884b9a1e91d50d7a2d167b039182e8d8cf28821
Homepage: https://cran.r-project.org/package=WaveletML
Description: CRAN Package 'WaveletML' (Wavelet Decomposition Based Hybrid Machine Learning Models)
 Wavelet decomposes a series into multiple sub series called detailed and
 smooth components which helps to capture volatility at multi resolution
 level by various models. Two hybrid Machine Learning (ML) models (Artificial
 Neural Network and Support Vector Regression have been used) have been
 developed in combination with stochastic models, feature selection, and
 optimization algorithms for prediction of the data. The algorithms have been
 developed following Paul and Garai (2021) <doi:10.1007/s00500-021-06087-4>.

Package: r-cran-waveletmlbestfl
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-waveletml, r-cran-ceemdanml, r-cran-describedf
Filename: pool/dists/focal/main/r-cran-waveletmlbestfl_0.1.0-1.ca2004.1_all.deb
Size: 32784
MD5sum: 2f1a39acbb0d7d7ea57d75aa63131305
SHA1: 8411aacf866811c726c70a027e18884251148904
SHA256: a435c92a25e8dff4e82d1b460d04e5061a67f4ad78bc64bf7aa048720100805a
SHA512: ceac34d6044b62b2edeb4f14b014c3194c2393c5ee08890c71cd38ae906c73a351263a214c51f6b90927b440b59847609183072f1e4a78372726f745eeb5f71f
Homepage: https://cran.r-project.org/package=WaveletMLbestFL
Description: CRAN Package 'WaveletMLbestFL' (The Best Wavelet Filter-Level for Prepared Wavelet-Based Models)
 Four filters have been chosen namely 'haar', 'c6', 'la8', and 'bl14' (Kindly
 refer to 'wavelets' in 'CRAN' repository for more supported filters). Levels
 of decomposition are 2, 3, 4, etc. up to maximum decomposition level which
 is ceiling value of logarithm of length of the series base 2. For each
 combination two models are run separately. Results are stored in 'input'.
 First five metrics are expected to be minimum and last three metrics are
 expected to be maximum for a model to be considered good. Firstly, every
 metric value (among first five) is searched in every columns and minimum
 values are denoted as 'MIN' and other values are denoted as 'NA'. Secondly,
 every metric (among last three) is searched in every columns and maximum
 values are denoted as 'MAX' and other values are denoted as 'NA'. 'output'
 contains the similar number of rows (which is 8) and columns (which is
 number filter-level combinations) as of 'input'. Values in 'output' are
 corresponding 'NA', 'MIN' or 'MAX'. Finally, the column containing minimum
 number of 'NA' values is denoted as the best ('FL'). In special case, if two
 columns having equal 'NA', it has been checked among these two columns which
 one is having least 'NA' in first five rows and has been inferred as the
 best. 'FL_metrics_values' are the corresponding metrics values.
 'WARIGAANbest' is the data frame (dimension: 1*8) containing different
 metrics of the best filter-level combination.  More details can be found in
 Garai and others (2023) <doi:10.13140/RG.2.2.11977.42087>.

Package: r-cran-waveletrf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavelets, r-cran-fracdiff, r-cran-forecast, r-cran-randomforest, r-cran-tsutils
Filename: pool/dists/focal/main/r-cran-waveletrf_0.1.0-1.ca2004.1_all.deb
Size: 21856
MD5sum: b80a896ce3882fb6f979ac6959fbc6a2
SHA1: dc1d276c7a1420c33dbbb81b6829e18af4b7c060
SHA256: fbb7d01ac086aec74615f64167aff9d9730c2e49a41df3492fc2df16ec9cae57
SHA512: 30a30d71c3edb59c360a12b070323b0fbda2529a8b3767572cf1cc3bfe6ca595aba24f34d2931874aabbc35bf3ec6174699c59932395f1911fd735c262ed0b82
Homepage: https://cran.r-project.org/package=WaveletRF
Description: CRAN Package 'WaveletRF' (Wavelet-RF Hybrid Model for Time Series Forecasting)
 The Wavelet Decomposition followed by Random Forest Regression (RF) models
 have been applied for time series forecasting. The maximum overlap discrete
 wavelet transform (MODWT) algorithm was chosen as it works for any length of
 the series. The series is first divided into training and testing sets. In
 each of the wavelet decomposed series, the supervised machine learning
 approach namely random forest was employed to train the model. This package
 also provides accuracy metrics in the form of Root Mean Square Error (RMSE)
 and Mean Absolute Prediction Error (MAPE). This package is based on the
 algorithm of Ding et al. (2021) <DOI: 10.1007/s11356-020-12298-3>.

Package: r-cran-waveletsvr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wavelets, r-cran-fracdiff, r-cran-forecast, r-cran-e1071, r-cran-tsutils
Filename: pool/dists/focal/main/r-cran-waveletsvr_0.1.0-1.ca2004.1_all.deb
Size: 21692
MD5sum: 16d0e43784a7323adf281fa43c7f2073
SHA1: 65267cfd358261a2860ab88df26d28f25ca19da6
SHA256: c77a61898ae4c87e9d1dc4bdbb023f556f203e675bba5b9f925c8808fe48b9b6
SHA512: b798948d05482bb76abdd56f0da194796e5c335c2b7690fec8e82a5d62eb27160513a4128d6eead82216666de2f013dd891a7705d12a55d207979af015ddfa23
Homepage: https://cran.r-project.org/package=WaveletSVR
Description: CRAN Package 'WaveletSVR' (Wavelet-SVR Hybrid Model for Time Series Forecasting)
 The main aim of this package is to combine the advantage of wavelet and
 support vector machine models for time series forecasting. This package also
 gives the accuracy measurements in terms of RMSE and MAPE. This package fits
 the hybrid Wavelet SVR model for time series forecasting The main aim of
 this package is to combine the advantage of wavelet and Support Vector
 Regression (SVR) models for time series forecasting. This package also gives
 the accuracy measurements in terms of Root Mean Square Error (RMSE) and Mean
 Absolute Prediction Error (MAPE). This package is based on the algorithm of
 Raimundo and Okamoto (2018) <DOI: 10.1109/INFOCT.2018.8356851>.

Package: r-cran-wavemulcor
Architecture: all
Version: 3.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2644
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waveslim, r-cran-plot3d, r-cran-rcolorbrewer
Suggests: r-cran-covr, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wavemulcor_3.1.2-1.ca2004.1_all.deb
Size: 1680936
MD5sum: 5beb9dcebcba715fe71e8366e9b45f66
SHA1: fb639bca8108c88055cbf237274405f42c227fcb
SHA256: 7acb0fe7534edd2a03749f07c81cf19d5082cb5c85ae23477e453d26667f47db
SHA512: fcacf1fe91e40ac935a409a9f975b6be682e75b96c0a549aad7c8427fc6b3dd8ab7983a15f0687c05530368d0f0ff1c29d46bceebf2838589b5767218a5f3863
Homepage: https://cran.r-project.org/package=wavemulcor
Description: CRAN Package 'wavemulcor' (Wavelet Routines for Global and Local Multiple Regression andCorrelation)
 Wavelet routines that calculate single sets of wavelet multiple regressions
 and correlations, and cross-regressions and cross-correlations from a
 multivariate time series.  Dynamic versions of the routines allow the
 wavelet local multiple (cross-)regressions and (cross-)correlations to
 evolve over time.

Package: r-cran-waver
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sf, r-cran-geosphere
Suggests: r-cran-lwgeom, r-cran-sp, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-waver_0.3.0-1.ca2004.1_all.deb
Size: 33292
MD5sum: 4b0568a3f411b98f34c599d6ccd9b4f9
SHA1: 324a19c21e954f0bc03181d8147a919b74aea64c
SHA256: dbe81f68ceb2a3da72fcb225fff70857335799e5c214a413d969d2541d774ad8
SHA512: 136077d5c88a4f65caa48a36e3ff91120bf1117dbff56a3ea6c19311834bb12f70429728cf9fb892c5f63ba463ed4fe76c60a0a1b4269221b40e21fecc8cfbf5
Homepage: https://cran.r-project.org/package=waver
Description: CRAN Package 'waver' (Calculate Fetch and Wave Energy)
 Functions for calculating the fetch (length of open water distance along
 given directions) and estimating wave energy from wind and wave monitoring
 data.

Package: r-cran-waverider
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-desctools, r-cran-hmisc, r-cran-matrix, r-cran-colorednoise, r-cran-foreach, r-cran-matrixstats, r-cran-reshape2, r-cran-truncnorm, r-cran-astrochron, r-cran-rcolorbrewer, r-cran-colorramps, r-cran-viridis, r-cran-magick, r-cran-rlist, r-cran-trapezoid, r-cran-fancova, r-cran-decomposer, r-cran-dosnow
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-waverider_0.4.1-1.ca2004.1_all.deb
Size: 883588
MD5sum: 1f903c55720b997bbce5a681ccfffc84
SHA1: c106f4730ec448f796f8f361122086a3d049b106
SHA256: fcfb925ac82967d54447aeaeab2c51df73eba2344f199ae50bdd8bad6c7a7bb8
SHA512: 65c62a4694f97fbdb17bd82211918f7823ff7182a34ed9f6b1e3cf73a9c72ad674eb541374438eb06a27e2866fcbf868e32de23143fa1c1660eada875f2d7895
Homepage: https://cran.r-project.org/package=WaverideR
Description: CRAN Package 'WaverideR' (Extracting Signals from Wavelet Spectra)
 The continuous wavelet transform enables the observation of
 transient/non-stationary cyclicity in time-series. The goal of
 cyclostratigraphic studies is to define frequency/period in the depth/time
 domain. By conducting the continuous wavelet transform on cyclostratigraphic
 data series one can observe and extract cyclic signals/signatures from
 signals. These results can then be visualized and interpreted enabling one
 to identify/interpret cyclicity in the geological record, which can be used
 to construct astrochronological age-models and identify and interpret
 cyclicity in past and present climate systems. The 'WaverideR' R package
 builds upon existing literature and existing codebase. The list of articles
 which are relevant can be grouped in four subjects; cyclostratigraphic data
 analysis,example data sets,the (continuous) wavelet transform and
 astronomical solutions. References for the cyclostratigraphic data analysis
 articles are: Stephen Meyers (2019) <doi:10.1016/j.earscirev.2018.11.015>.
 Mingsong Li, Linda Hinnov, Lee Kump (2019) <doi:10.1016/j.cageo.2019.02.011>
 Stephen Meyers (2012)<doi:10.1029/2012PA002307> Mingsong Li, Lee R. Kump,
 Linda A. Hinnov, Michael E. Mann (2018) <doi:10.1016/j.epsl.2018.08.041>.
 Wouters, S., Crucifix, M., Sinnesael, M., Da Silva, A.C., Zeeden, C.,
 Zivanovic, M., Boulvain, F., Devleeschouwer, X. (2022)
 <doi:10.1016/j.earscirev.2021.103894>. Wouters, S., Da Silva, A.-C.,
 Boulvain, F., and Devleeschouwer, X. (2021) <doi:10.32614/RJ-2021-039>.
 Huang, Norden E., Zhaohua Wu, Steven R. Long, Kenneth C. Arnold, Xianyao
 Chen, and Karin Blank (2009) <doi:10.1142/S1793536909000096>. Cleveland, W.
 S. (1979)<doi:10.1080/01621459.1979.10481038> Hurvich, C.M., Simonoff, J.S.,
 and Tsai, C.L. (1998) <doi:10.1111/1467-9868.00125>, Golub, G., Heath, M.
 and Wahba, G. (1979) <doi:10.2307/1268518>. References for the example data
 articles are: Damien Pas, Linda Hinnov, James E. (Jed) Day, Kenneth Kodama,
 Matthias Sinnesael, Wei Liu (2018) <doi:10.1016/j.epsl.2018.02.010>.
 Steinhilber, Friedhelm, Abreu, Jacksiel, Beer, Juerg , Brunner, Irene,
 Christl, Marcus, Fischer, Hubertus, HeikkilA, U., Kubik, Peter, Mann,
 Mathias, Mccracken, K. , Miller, Heinrich, Miyahara, Hiroko, Oerter, Hans ,
 Wilhelms, Frank. (2012 <doi:10.1073/pnas.1118965109>. Christian Zeeden,
 Frederik Hilgen, Thomas Westerhold, Lucas Lourens, Ursula Röhl, Torsten
 Bickert (2013) <doi:10.1016/j.palaeo.2012.11.009>. References for the
 (continuous) wavelet transform articles are: Morlet, Jean, Georges Arens,
 Eliane Fourgeau, and Dominique Glard (1982a) <doi:10.1190/1.1441328>. J.
 Morlet, G. Arens, E. Fourgeau, D. Giard (1982b) <doi:10.1190/1.1441329>.
 Torrence, C., and G. P. Compo
 (1998)<https://paos.colorado.edu/research/wavelets/bams_79_01_0061.pdf>,
 Gouhier TC, Grinsted A, Simko V (2021)
 <https://github.com/tgouhier/biwavelet>. Angi Roesch and Harald Schmidbauer
 (2018) <https://CRAN.R-project.org/package=WaveletComp>. Russell, Brian, and
 Jiajun Han
 (2016)<https://www.crewes.org/Documents/ResearchReports/2016/CRR201668.pdf>.
 Gabor, Dennis (1946) <http://genesis.eecg.toronto.edu/gabor1946.pdf>. J.
 Laskar, P. Robutel, F. Joutel, M. Gastineau, A.C.M. Correia, and B. Levrard,
 B. (2004) <doi:10.1051/0004-6361:20041335>. Laskar, J., Fienga, A.,
 Gastineau, M., Manche, H. (2011a) <doi:10.1051/0004-6361/201116836>.
 References for the astronomical solutions articles are: Laskar, J.,
 Gastineau, M., Delisle, J.-B., Farres, A., Fienga, A. (2011b
 <doi:10.1051/0004-6361/201117504>. J. Laskar (2019)
 <doi:10.1016/B978-0-12-824360-2.00004-8>. Zeebe, Richard E (2017)
 <doi:10.3847/1538-3881/aa8cce>. Zeebe, R. E. and Lourens, L. J. (2019)
 <doi:10.1016/j.epsl.2022.117595>. Richard E. Zeebe Lucas J. Lourens (2022)
 <doi:10.1126/science.aax0612>.

Package: r-cran-waverr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-kimisc
Filename: pool/dists/focal/main/r-cran-waverr_1.0-1.ca2004.1_all.deb
Size: 18696
MD5sum: b0b36078ad34d65756cf6f3fdb5aff5a
SHA1: 93a84741c1d0387eb37889bad828d477fbc7eddf
SHA256: 0b6798e19ff2261ab972f2ede23f6ee7bf99ea564d685ad222bb9af39c95e646
SHA512: 1c08b90533ce5692c924cdde8d165c0b0169f387edf31adacdf72e15ef7651d80147d940e3824d81f992664a00a943721267b66fe7e64ba9fec6f96a9d946dfb
Homepage: https://cran.r-project.org/package=WaverR
Description: CRAN Package 'WaverR' (Data Estimation using Weighted Averages of Multiple Regressions)
 For multivariate datasets, this function enables the estimation of missing
 data using the Weighted AVERage of all possible Regressions using the data
 available.

Package: r-cran-waves
Architecture: all
Version: 0.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4003
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-caret, r-cran-dplyr, r-cran-ggplot2, r-cran-lifecycle, r-cran-magrittr, r-cran-pls, r-cran-prospectr, r-cran-randomforest, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-spectacles, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-waves_0.2.5-1.ca2004.1_all.deb
Size: 3734984
MD5sum: ef8eea5fe2816f27a4ee0e03c2f47a37
SHA1: 7465fd898d7f6539ec23111381ed92ab3cdbe1ae
SHA256: b780ef68d41731e8f06ee7c2b9e839a6ed3cd2e96feb755649d94d7494df9880
SHA512: 3ae725420f88ba35ebcb4c84ccd8cac9eaf318972bc8ceac4a98dfe123c0c0a9b2be8b73996592a89c2860eb145bfd1a4035b80740ed1ac76ea5fa0b4f55f175
Homepage: https://cran.r-project.org/package=waves
Description: CRAN Package 'waves' (Vis-NIR Spectral Analysis Wrapper)
 Originally designed application in the context of resource-limited plant
 research and breeding programs, 'waves' provides an open-source solution to
 spectral data processing and model development by bringing useful packages
 together into a streamlined pipeline.  This package is wrapper for functions
 related to the analysis of point visible and near-infrared reflectance
 measurements.  It includes visualization, filtering, aggregation,
 preprocessing, cross-validation set formation, model training, and
 prediction functions to enable open-source association of spectral and
 reference data. This package is documented in a peer-reviewed manuscript in
 the Plant Phenome Journal <doi:10.1002/ppj2.20012>.  Specialized
 cross-validation schemes are described in detail in Jarquín et al.  (2017)
 <doi:10.3835/plantgenome2016.12.0130>. Example data is from Ikeogu et al.
 (2017) <doi:10.1371/journal.pone.0188918>.

Package: r-cran-wavscalogram
Architecture: all
Version: 1.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 157
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-abind, r-cran-fields
Filename: pool/dists/focal/main/r-cran-wavscalogram_1.1.3-1.ca2004.1_all.deb
Size: 130624
MD5sum: d7fce3d65c8d9d8b80ad9b59bba934fd
SHA1: 1859a470c46d0ac0f79002897020673887b30032
SHA256: 93876c6f80429c947c53fc79ae60c8908e6e4b4d1f762e84a1b373d1417b23e2
SHA512: ee538d5f5d366c7b69a90547b884b2eac3df054a8360588eead3fa1b9326744cb8d7d43640da835279a2b84287981f9536cce759b28c7a693b4a7d6cb6e1740b
Homepage: https://cran.r-project.org/package=wavScalogram
Description: CRAN Package 'wavScalogram' (Wavelet Scalogram Tools for Time Series Analysis)
 Provides scalogram based wavelet tools for time series analysis: wavelet
 power spectrum, scalogram, windowed scalogram, windowed scalogram difference
 (see Bolos et al. (2017) <doi:10.1016/j.amc.2017.05.046>), scale index and
 windowed scale index (Benitez et al. (2010)
 <doi:10.1016/j.camwa.2010.05.010>).

Package: r-cran-waydown
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2323
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-numderiv, r-cran-matrix
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-desolve, r-cran-dplyr, r-cran-colorramps, r-cran-ggplot2, r-cran-gridextra, r-cran-latticeextra, r-cran-bindrcpp
Filename: pool/dists/focal/main/r-cran-waydown_1.1.0-1.ca2004.1_all.deb
Size: 2009244
MD5sum: 4498e90a9306826a1ffa0587ca433ea6
SHA1: 5514702f218661d07afca022a7bf1e8b5adc11f9
SHA256: 1d6bc9065a3cbb1c332d34298febc44d47b4d8af665a4f2fe8b0d83e06e7c4be
SHA512: ca95d3fd5469a1b035d73453f42c93b6825713a22346ee6c7fc09f5727a5e77b7c814850c627c1f62bfd1ec1564db0efb7581abd67cd53ea14982360e9e5fc9d
Homepage: https://cran.r-project.org/package=waydown
Description: CRAN Package 'waydown' (Computation of Approximate Potentials for Weakly Non-GradientFields)
 Computation of approximate potentials for both gradient and non gradient
 fields. It is known from physics that only gradient fields, also known as
 conservative, have a well defined potential function. Here we present an
 algorithm, based on the classical Helmholtz decomposition, to obtain an
 approximate potential function for non gradient fields.  More information in
 Rodríguez-Sánchez (2020) <doi:10.1371/journal.pcbi.1007788>.

Package: r-cran-wayfindr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2267
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-igraph, r-bioc-keggrest, r-cran-pubchemr, r-bioc-annotationdbi, r-bioc-org.hs.eg.db, r-cran-desctools, r-bioc-rgraphviz
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-polychrome
Filename: pool/dists/focal/main/r-cran-wayfindr_0.3.1-1.ca2004.1_all.deb
Size: 1734708
MD5sum: 4b134520966cbb7b5d50b441f391a2b9
SHA1: bad2c5b63a7fca48a604221d9a4c9333ec440c11
SHA256: e3602c368f9ef75369a540fa98091a0d92288eb96d8ae57c82eca2bfc3f9961e
SHA512: 9f2f92743e5abe8320f69df934fb68f9cef75c80cca283100ce961509a97b4cb4ca521fb33e3e8563d9015b557be5bd9729ca5227a4396a771bd2d1541f33dbe
Homepage: https://cran.r-project.org/package=WayFindR
Description: CRAN Package 'WayFindR' (Computing Graph Structures on WikiPathways)
 Converts pathways from 'WikiPathways' GPML format or 'KEGG' KGML format into
 'igraph' objects. Includes tools to find all cycles in the resulting graphs
 and determine which ones involve negative feedback (inhibition).

Package: r-cran-waywiser
Architecture: all
Version: 0.6.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2684
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-fields, r-cran-fnn, r-cran-glue, r-cran-hardhat, r-cran-matrix, r-cran-purrr, r-cran-rlang, r-cran-sf, r-cran-spdep, r-cran-tibble, r-cran-tidyselect, r-cran-vctrs, r-cran-yardstick
Suggests: r-cran-applicable, r-cran-caret, r-cran-cast, r-cran-covr, r-cran-exactextractr, r-cran-ggplot2, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-rsample, r-cran-spatialsample, r-cran-terra, r-cran-testthat, r-cran-tidymodels, r-cran-tidyr, r-cran-tigris, r-cran-units, r-cran-vip, r-cran-whisker, r-cran-withr
Filename: pool/dists/focal/main/r-cran-waywiser_0.6.3-1.ca2004.1_all.deb
Size: 1769300
MD5sum: a59804d6825e8fdac3830309e133afcc
SHA1: 6eba9cb77633b725fbcc339d6da27ab0701903f1
SHA256: 6c22d4334be05f733c54e2d2455d53ab99864ffc229280d4eca57a8f28c9ec0c
SHA512: 51635bd16319376834e464c8d1a1de67f8d8714a7c8e3d13ae0ff6f4b0a480a2346eaacc8960651b217485d3214cbda4fd11361203256c1f5bbb8198dbecdb2a
Homepage: https://cran.r-project.org/package=waywiser
Description: CRAN Package 'waywiser' (Ergonomic Methods for Assessing Spatial Models)
 Assessing predictive models of spatial data can be challenging, both because
 these models are typically built for extrapolating outside the original
 region represented by training data and due to potential spatially
 structured errors, with "hot spots" of higher than expected error clustered
 geographically due to spatial structure in the underlying data. Methods are
 provided for assessing models fit to spatial data, including approaches for
 measuring the spatial structure of model errors, assessing model predictions
 at multiple spatial scales, and evaluating where predictions can be made
 safely. Methods are particularly useful for models fit using the
 'tidymodels' framework. Methods include Moran's I ('Moran' (1950)
 <doi:10.2307/2332142>), Geary's C ('Geary' (1954) <doi:10.2307/2986645>),
 Getis-Ord's G ('Ord' and 'Getis' (1995)
 <doi:10.1111/j.1538-4632.1995.tb00912.x>), agreement coefficients from 'Ji'
 and Gallo (2006) (<doi: 10.14358/PERS.72.7.823>), agreement metrics from
 'Willmott' (1981) (<doi: 10.1080/02723646.1981.10642213>) and 'Willmott'
 'et' 'al'. (2012) (<doi: 10.1002/joc.2419>), an implementation of the area
 of applicability methodology from 'Meyer' and 'Pebesma' (2021)
 (<doi:10.1111/2041-210X.13650>), and an implementation of multi-scale
 assessment as described in 'Riemann' 'et' 'al'. (2010)
 (<doi:10.1016/j.rse.2010.05.010>).

Package: r-cran-wbids
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2649
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-withr, r-cran-httr2, r-cran-dplyr, r-cran-purrr, r-cran-tidyr, r-cran-rlang, r-cran-mime
Suggests: r-cran-curl, r-cran-jsonlite, r-cran-tibble, r-cran-quarto, r-cran-readxl, r-cran-testthat, r-cran-httr
Filename: pool/dists/focal/main/r-cran-wbids_1.0.0-1.ca2004.1_all.deb
Size: 695528
MD5sum: 83ce5250263bc2207280d5dd4e6ea2ca
SHA1: c973628188195324b8c4c19c427588388ccf829e
SHA256: aeba8482f67c75520838457450f2ba10f9a09079acf5eb764c97e3b3172be742
SHA512: b8d24ced862550c296f281118ab52ae963cf54a54f10a9ba4c6c8cb06ec8d39b503585938155acc0fda37af7d129f25d96abe5e517b0ef702c52dcb09860dd79
Homepage: https://cran.r-project.org/package=wbids
Description: CRAN Package 'wbids' (Seamless Access to World Bank International Debt Statistics(IDS))
 Access and analyze the World Bank's International Debt Statistics (IDS)
 <https://datacatalog.worldbank.org/search/dataset/0038015>.  IDS provides
 creditor-debtor relationships between countries, regions, and institutions.
 'wbids' enables users to download, process and work with IDS series across
 multiple geographies, counterparts, and time periods.

Package: r-cran-wbstats
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1498
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lifecycle, r-cran-lubridate, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-magrittr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wbstats_1.0.4-1.ca2004.1_all.deb
Size: 1386384
MD5sum: a6f0fea3074650a135fd3520da08b648
SHA1: 983cf98f0ab98da12210841b7ace7d8dd9a009e7
SHA256: 8d48458fd7d32e633f8448becc292d08c9241f623153b56072a1277b0bb00b67
SHA512: 669183818c59927e2e06f640bab4fcfdf50b6aae61a15de5fba8080a3e5087f518428b5739795b14e1ce1702d417a78a1736ad71a1beb6753c7f186bf5d269da
Homepage: https://cran.r-project.org/package=wbstats
Description: CRAN Package 'wbstats' (Programmatic Access to Data and Statistics from the World BankAPI)
 Search and download data from the World Bank Data API.

Package: r-cran-wbwdi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 435
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-rlang
Suggests: r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wbwdi_1.0.1-1.ca2004.1_all.deb
Size: 291816
MD5sum: 848a842bc4d9d971619431f07f4d36f9
SHA1: ac958424ffd026747d849b15acdae0489e993ae8
SHA256: 3388b5b790d2c67bb28b935d086cd6a10ae24f570a0ba3d947654590e95a5707
SHA512: 26f4abe4534157c1c8b3f8d222aeb8270382c5c881a244d3e38867104df208a0cbb2b78b2e79f6e8cb8431ddb8fb713a679260c91036002cbdaf94a80533e5a6
Homepage: https://cran.r-project.org/package=wbwdi
Description: CRAN Package 'wbwdi' (Seamless Access to World Bank World Development Indicators (WDI))
 Access and analyze the World Bank’s World Development Indicators (WDI) using
 the corresponding API
 <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>.
 WDI provides more than 24,000 country or region-level indicators for various
 contexts. 'wbwdi' enables users to download, process and work with WDI
 series across multiple countries, aggregates, and time periods.

Package: r-cran-wcde
Architecture: all
Version: 0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3109
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tidyr, r-cran-progress, r-cran-countrycode, r-cran-tibble, r-cran-purrr, r-cran-stringr, r-cran-forcats, r-cran-rcurl
Suggests: r-cran-spelling, r-cran-knitr, r-cran-rmarkdown, r-cran-tidyverse, r-cran-lemon
Filename: pool/dists/focal/main/r-cran-wcde_0.0.7-1.ca2004.1_all.deb
Size: 1919264
MD5sum: d51a99717041cf085e7c5f8f5e582e16
SHA1: 5837fd9f08c26dfa88f49b71a43eaed1ba41c131
SHA256: 6cd3f7b3ceebde63978fc9e26b7700113daff441dbf43de2f8bd80bc35a7146a
SHA512: 83c53b353c2338209cb886c6fd9a471ee4924f47613f168e6833fd2444ddb3d29e6fb5668873ee6718c466e63f85e70b8ba02cde23f004eb9511cd7b88335ff0
Homepage: https://cran.r-project.org/package=wcde
Description: CRAN Package 'wcde' (Download Data from the Wittgenstein Centre Human Capital DataExplorer)
 Download and plot education specific demographic data from the Wittgenstein
 Centre for Demography and Human Capital Data Explorer
 <http://dataexplorer.wittgensteincentre.org/>.

Package: r-cran-wce
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plyr, r-cran-survival
Suggests: r-cran-r.rsp
Filename: pool/dists/focal/main/r-cran-wce_1.0.3-1.ca2004.1_all.deb
Size: 144236
MD5sum: b6818cbe234a1f68f8b3c7972cc8020f
SHA1: 0c0b48df5f166e97d01ac5ced8b2c85fb530bf86
SHA256: e2d4d6e8bb4ad9147975ebb67cfca18b1ea9d0ca5e1008a080474a675723cba4
SHA512: e8e1a145d1e3a1dd0386348527fd2bf76509c8bb722655b2bf52aba3eccd3d0c18769afbb50f74be303aa9c997ab4c21aefc5f4a3a6f3ee3ed56e67c3a87f22d
Homepage: https://cran.r-project.org/package=WCE
Description: CRAN Package 'WCE' (Weighted Cumulative Exposure Models)
 A flexible method for modeling cumulative effects of time-varying exposures,
 weighted according to their relative proximity in time, and represented by
 time-dependent covariates. The current implementation estimates the weight
 function in the Cox proportional hazards model. The function that assigns
 weights to doses taken in the past is estimated using cubic regression
 splines.

Package: r-cran-wcep
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-coin, r-cran-dplyr, r-cran-progress, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wcep_1.0.2-1.ca2004.1_all.deb
Size: 39052
MD5sum: abad5f33358c8a0e9520931bed429806
SHA1: 0ee497bc60d1b0ba1f9325c8cf94ffd0e4c55d73
SHA256: b225ea464e5786df661f8a91b002fa8a8549c8636e2e806cc0f29d810c5dc16d
SHA512: d8fe7a1fea3d8bb428e1b5dba336c8d1258f958d346c4bb9002d126d7e3f6ef9e5afdec7f3d06f85f9390f76c29f7966e743fa405e381fce60442d8cda626975
Homepage: https://cran.r-project.org/package=wcep
Description: CRAN Package 'wcep' (Survival Analysis for Weighted Composite Endpoints)
 Analyze given data frame with multiple endpoints and return Kaplan-Meier
 survival probabilities together with the specified confidence interval. See
 Nabipoor M, Westerhout CM, Rathwell S, and Bakal JA (2023)
 <doi:10.1186/s12874-023-01857-0>.

Package: r-cran-wcluster
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-datanugget, r-cran-cluster
Filename: pool/dists/focal/main/r-cran-wcluster_1.3.0-1.ca2004.1_all.deb
Size: 79932
MD5sum: 15eed6d89b56d76e65680e6405285100
SHA1: 74b6bc5c7b8725809894146da1dfd38c2a97be28
SHA256: 3a4139c9b41fba1d7d2ec7f3d0c722351fb23d7bb11b68090f14c35f59493c7b
SHA512: 3842a81687d0dd21e00bdd4a77e3ab4ed97893c4995ee0043dc74b4e0093ebc57755f98fa2d596c428963ec813c2ce2b11bbb7ba4486edee195ad4ec5bb05e81
Homepage: https://cran.r-project.org/package=WCluster
Description: CRAN Package 'WCluster' (Clustering and PCA with Weights, and Data Nuggets Clustering)
 K-means clustering, hierarchical clustering, and PCA with observational
 weights and/or variable weights. It also includes the corresponding
 functions for data nuggets which serve as representative samples of large
 datasets.  Cherasia et al., (2022) <doi:10.1007/978-3-031-22687-8_20>.
 Amaratunga et al., (2009) <doi:10.1002/9780470317129>.

Package: r-cran-wcm
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-raster
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wcm_0.2.2-1.ca2004.1_all.deb
Size: 25216
MD5sum: 69750d3b074d4ce901ec37a6545712a8
SHA1: ba4a8af4e7670e54e76bf4187c58056ab5c256fc
SHA256: 83bbbf8202ae0c3b78d3ef6e32e7fbcdbcb07c081e2d52d04e05cd18e7542a89
SHA512: d061bf72bd6cfcf8cdf4a38a5a9ebd82cb7e1cc24417be9ef331fb6cecde1fdf9216be736e5c1932c2a995a6c4368e249da1f3e23ed59b9df0f24d883994a955
Homepage: https://cran.r-project.org/package=WCM
Description: CRAN Package 'WCM' (Water Cloud Model (WCM) for the Simulation of Leaf Area Index(LAI) and Soil Moisture (SM) from Microwave Backscattering)
 Retrieval the leaf area index (LAI) and soil moisture (SM) from microwave
 backscattering data using water cloud model (WCM) model . The WCM algorithm
 attributed to Pervot et al.(1993) <doi:10.1016/0034-4257(93)90053-Z>. The
 authors are grateful to SAC, ISRO, Ahmedabad for providing financial support
 to Dr. Prashant K Srivastava to conduct this research work.

Package: r-cran-wcompo
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wcompo_1.0-1.ca2004.1_all.deb
Size: 72760
MD5sum: 0b705404e5c9dfbe91488c4125c321a9
SHA1: 4b6ac2a027dad1cfaae3a7b77ea90fa25591714c
SHA256: 911099138a32ecea6635c9e86e08979dbbe6902349d13399d47caae6926a202c
SHA512: cb3197b61d9b46fe9d0ec566843195c38e636c39f7aa466d93b892bea9ac65a1d973969371022667b65e3b2a9a5ba6843f42dace8b786f59c737deb34bf25cc6
Homepage: https://cran.r-project.org/package=Wcompo
Description: CRAN Package 'Wcompo' (Semiparametric Proportional Means Regression of WeightedComposite Endpoint)
 Implements inferential and graphic procedures for the semiparametric
 proportional means regression of weighted composite endpoint of recurrent
 event and death (Mao and Lin, 2016, <doi:10.1093/biostatistics/kxv050>).

Package: r-cran-wconf
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 184
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-caret
Filename: pool/dists/focal/main/r-cran-wconf_1.2.0-1.ca2004.1_all.deb
Size: 65464
MD5sum: c0339ecc0910049ac329c68776ea7dfe
SHA1: 81d7948009fc27612e4edbdc735042bd4992a308
SHA256: 70dc837c19db75fc2057fdab051e0307d2252fcf7db429d53f9636233ddb649b
SHA512: 6dde27ace8118ffea1fa5ceac36ec0f3d73fc157fd4d997a844615cf85f09cab6addac70262c686aef90a40a141af4265662bd185d0c960bf0051e9757a93e9c
Homepage: https://cran.r-project.org/package=wconf
Description: CRAN Package 'wconf' (Weighted Confusion Matrix)
 Allows users to create weighted confusion matrices and accuracy metrics that
 help with the model selection process for classification problems, where
 distance from the correct category is important. The package includes
 several weighting schemes which can be parameterized, as well as custom
 configuration options. Furthermore, users can decide whether they wish to
 positively or negatively affect the accuracy score as a result of applying
 weights to the confusion matrix. Functions are included to calculate
 accuracy metrics for imbalanced data. Finally, 'wconf' integrates well with
 the 'caret' package, but it can also work standalone when provided data in
 matrix form.  References: Kuhn, M. (2008) "Building Perspective Models in R
 Using the caret Package" <doi:10.18637/jss.v028.i05> Monahov, A. (2021)
 "Model Evaluation with Weighted Threshold Optimization (and the mewto R
 package)" <doi:10.2139/ssrn.3805911> Monahov, A. (2024) "Improved Accuracy
 Metrics for Classification with Imbalanced Data and Where Distance from the
 Truth Matters, with the wconf R Package" <doi:10.2139/ssrn.4802336>
 Starovoitov, V., Golub, Y. (2020). New Function for Estimating Imbalanced
 Data Classification Results. Pattern Recognition and Image Analysis, 295–302
 Van de Velden, M., Iodice D'Enza, A., Markos, A., Cavicchia, C. (2023) "A
 general framework for implementing distances for categorical variables"
 <doi:10.48550/arXiv.2301.02190>.

Package: r-cran-wcox
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wcox_1.0-1.ca2004.1_all.deb
Size: 46992
MD5sum: 7d94287588ce6ed41fa34befcc4b13fd
SHA1: b06edfc6e994cd9cec8848ebe368c67b407255e6
SHA256: a9ea062510b925c96ad4e968b90274c3dac48adf09d8718cfa9985cad9af9d09
SHA512: 6fdd11b3e43f06bf228c7ec2446a7176a0949137a3ab42f368ac236f72c3c5310450b3c390d52268ce5b74b7f7f8effa209ba7257661fba63b5fbe0d912ed7ca
Homepage: https://cran.r-project.org/package=wcox
Description: CRAN Package 'wcox' (Weights to Correct for Outcome Dependent Sampling in Time toEvent Data)
 A new inverse probability of selection weighted Cox model to deal with
 outcome-dependent sampling in survival analysis.

Package: r-cran-wcq
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wcq_0.2-1.ca2004.1_all.deb
Size: 33424
MD5sum: db862585cb7a219f48dadc494afda158
SHA1: c19f2107cb071f1863a69c6cd781ae20ec32d6a3
SHA256: 9f174b590144b18881700da0c573cf387d4301f3634748956a2066ec984f02c6
SHA512: 5f1f6e381d6de5108c04757fff75d1441109b816471f94ef66ed2427a532277ef8711a69e0f1ab2616ec406b0c89bdc7b9934cc68d2cf7c76f42a33661352b05
Homepage: https://cran.r-project.org/package=WCQ
Description: CRAN Package 'WCQ' (Detection of QTL effects in a small mapping population)
 The package contains the WCQ method for detection of QTL effects in a small
 mapping population. It also contains implementation of the Chen-Qin
 two-sample and one-sample test of means.

Package: r-cran-wdi2
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr2, r-cran-purrr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wdi2_0.1.0-1.ca2004.1_all.deb
Size: 45756
MD5sum: 209ba8db64097df83804b92074b3d494
SHA1: 26dfb1d900049c47ca1084d2060a42044309f233
SHA256: 38c06d00bcf00fc563c0ee538905f8707ba722f05be3ad1199ae03fd68bdb8ee
SHA512: 2500931569dbb673bfb60af26ea63e08570f0e3de5422006374a189a11e497cebd1d6a65131dd50528aa823ed99444080391224c343f14079a80bf3fb64cf8c5
Homepage: https://cran.r-project.org/package=wdi2
Description: CRAN Package 'wdi2' (Download World Development Indicators from the World BankIndicators API)
 A modern, flexible interface for accessing the World Bank’s World
 Development Indicators (WDI) API
 <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>.
 Similar to the existing 'WDI' package, 'wdi2' allows users to download,
 process, and analyze indicator data for multiple countries and years.
 However, 'wdi2' differs by relying on 'httr2' for multi-page request and
 error handling, providing support for downloading multiple indicators with a
 single function call, using progress bars to keep users informed about the
 data processing, and returning the processed data in a tidy data format in
 line with Wickham (2014) <doi:10.18637/jss.v059.i10>.

Package: r-cran-wdi
Architecture: all
Version: 2.7.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 715
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-altdoc, r-cran-curl, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-wdi_2.7.9-1.ca2004.1_all.deb
Size: 670868
MD5sum: a2f038f4912325f27b13e49038e3c000
SHA1: d63d9fb12452a653fd101c17c9b15787950df4bc
SHA256: 3dbbf69041e5f8c02c40fa854114c4b7017a4ab7d2c585dac58c006bdf41ae94
SHA512: 932a301b7bfea02cbdb331a61a891de694c229c33f250c742929ed7f3aabe5bdf70764a108cc826c3e42a8280e74eb8458eab081d6df2b04b0fd8fefbf1640ea
Homepage: https://cran.r-project.org/package=WDI
Description: CRAN Package 'WDI' (World Development Indicators and Other World Bank Data)
 Search and download data from over 40 databases hosted by the World Bank,
 including the World Development Indicators ('WDI'), International Debt
 Statistics, Doing Business, Human Capital Index, and Sub-national Poverty
 indicators.

Package: r-cran-wdief
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1752
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-terra
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wdief_1.0.3-1.ca2004.1_all.deb
Size: 1651924
MD5sum: 9e353661ffd617e9fff6b3f9159a28a6
SHA1: 75da7fcbf0d00dff76a21ea165589148d8d9262e
SHA256: c17b747e6303ae0ee835142ae31c510d2589316e48c544e878cf6ae488765b08
SHA512: 087bcdbdebf1d0e2416a554e51a925615235a9f479623e7f6d495e685b459174a1aed6bd5f32edbb5c68f603a06e4e727010c6626f8d06262304c25eb8e8ea4b
Homepage: https://cran.r-project.org/package=wdiEF
Description: CRAN Package 'wdiEF' (Calculation of the Water Deficit Index (WDI) and the EvaporativeFraction (EF) on Rasters)
 Calculates the Water Deficit Index (WDI) and the Evaporative Fraction (EF)
 using geospatial data, such as fractional vegetation cover (FVC) and
 surface-air temperature difference (TS-TA).  Terms like "raster", "CRS" are
 part of standard geospatial terminology.

Package: r-cran-wdman
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 159
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-binman, r-cran-assertthat, r-cran-processx, r-cran-yaml, r-cran-semver
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wdman_0.2.6-1.ca2004.1_all.deb
Size: 80688
MD5sum: f9ec04ce69e5cc6d86f4af64940181d4
SHA1: b64554182d20d397d1a3361dd96de369f019d41b
SHA256: 67110da58078dfe9bf932950cb2954735dab0052dd4d93bed65a8b55f66e5360
SHA512: 34cd2ddbae20e128f35b5b256d421d542b8f5d1c0625c33dc30b4cd2efc671aa3ae21a62fcd777065d311284b41a1aaa2ac57d870d44ad36b1f0ee13f282abf7
Homepage: https://cran.r-project.org/package=wdman
Description: CRAN Package 'wdman' ('Webdriver'/'Selenium' Binary Manager)
 There are a number of binary files associated with the
 'Webdriver'/'Selenium' project. This package provides functions to download
 these binaries and to manage processes involving them.

Package: r-cran-wdnr.gis
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 290
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-arcpullr, r-cran-sf, r-cran-dplyr, r-cran-ggplot2, r-cran-rlang
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wdnr.gis_0.1.5-1.ca2004.1_all.deb
Size: 219060
MD5sum: 40b11f52a8710378ca71591e483c54ed
SHA1: 640e5d146662f6cf0deb2d64a1a1eb62d72ddafe
SHA256: a5c55fcb1c7c10a19bd1f7b8e1f2481167d926b535d1b953e98b328aa71203ee
SHA512: 73956f1da064d5527dc839e6a88da80a3dc0d0ce1a14d4e6dd5e7bc9a3997a758af9b73c8d0aa5a5168f153687672c15400bb812cd32818d1ed09dbd8a79aa9a
Homepage: https://cran.r-project.org/package=wdnr.gis
Description: CRAN Package 'wdnr.gis' (Pull Spatial Layers from 'WDNR ArcGIS REST API')
 Functions for finding and pulling data from the 'Wisconsin Department of
 Natural Resources ArcGIS REST APIs'
 <https://dnrmaps.wi.gov/arcgis/rest/services> and
 <https://dnrmaps.wi.gov/arcgis2/rest/services>.

Package: r-cran-wdpar
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 309
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-assertthat, r-cran-progress, r-cran-curl, r-cran-httr, r-cran-countrycode, r-cran-chromote, r-cran-xml2, r-cran-cli, r-cran-lwgeom, r-cran-tibble, r-cran-pingr, r-cran-rappdirs, r-cran-withr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-roxygen2, r-cran-rmarkdown, r-cran-ggmap, r-cran-ggplot2, r-cran-dplyr, r-cran-ps
Filename: pool/dists/focal/main/r-cran-wdpar_1.3.8-1.ca2004.1_all.deb
Size: 196016
MD5sum: 8d5376e977af8d2ad1ebd4ad5434f9a3
SHA1: 0dbbae61fa7b79860e9363d5ecddf60cb16f36bb
SHA256: 7839c9d091a9b10a78b7203ad61843c5e7ef762c0477c8f3b1ad4e1e39adea08
SHA512: aae4ddf2da9390dcf4d3ab7807cdf411f6cf5060c1f9d4eb1972def0ed22c07276bf72de9b6d5988eb660ac69b88a7db2b8b4233cf0dacededd78e240e1ae6cd
Homepage: https://cran.r-project.org/package=wdpar
Description: CRAN Package 'wdpar' (Interface to the World Database on Protected Areas)
 Fetch and clean data from the World Database on Protected Areas (WDPA) and
 the World Database on Other Effective Area-Based Conservation Measures
 (WDOECM). Data is obtained from Protected Planet
 <https://www.protectedplanet.net/en>. To augment data cleaning procedures,
 users can install the 'prepr' R package (available at
 <https://github.com/prioritizr/prepr>). For more information on this
 package, see Hanson (2022) <doi:10.21105/joss.04594>.

Package: r-cran-weaana
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1686
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-settings, r-cran-reshape2, r-cran-lubridate, r-cran-magrittr, r-cran-rlang, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-weaana_0.1.1-1.ca2004.1_all.deb
Size: 708980
MD5sum: a2116d3187cd1167ec40118593efecd0
SHA1: 5902158587f1fd3e460f0671ec44d4d907e404f8
SHA256: 1869b063aa8fce8e8f660e7a665298ba2568d1720418902910a484948ccc9288
SHA512: 4253d55d9776ccfd1196565a52e8e6ea419809698620f87a80d993958521ecd5c0d50c0e10a12d65cef1f7fb5ea73cee44ee63d5566f0e29334a2a0555f3f7f0
Homepage: https://cran.r-project.org/package=weaana
Description: CRAN Package 'weaana' (Analysis the Weather Data)
 Functions are collected to analyse weather data for agriculture purposes
 including to read weather records in multiple formats, calculate extreme
 climate index.

Package: r-cran-weakarma
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 302
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-compquadform, r-cran-mass, r-cran-matrixstats, r-cran-vars
Suggests: r-cran-timeseries, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-renv
Filename: pool/dists/focal/main/r-cran-weakarma_1.0.3-1.ca2004.1_all.deb
Size: 274148
MD5sum: 9f0fd5fd4232694ce04a2496208192d1
SHA1: a0c2a7ccdddca63dc6c2dcc57fd4678b478d9a80
SHA256: 4812630a7aa383432b6e97b47c2a3d792d90b6a61b4e10e4beb0e7f76a7dde52
SHA512: 20355a9605990a16847f9c3298cdb95d451aae0a34b993748cd1a0569ae2fb3791ce9f96ddc24d04914d0e2607be8f853d95ab008af3262fc8fe72531581235e
Homepage: https://cran.r-project.org/package=weakARMA
Description: CRAN Package 'weakARMA' (Tools for the Analysis of Weak ARMA Models)
 Numerous time series admit autoregressive moving average (ARMA)
 representations, in which the errors are uncorrelated but not necessarily
 independent.  These models are called weak ARMA by opposition to the
 standard ARMA models, also called strong ARMA models, in which the error
 terms are supposed to be independent and identically distributed (iid).
 This package allows the study of nonlinear time series models through weak
 ARMA representations.  It determines identification, estimation and
 validation for ARMA models and for AR and MA models in particular.
 Functions can also be used in the strong case.  This package also works on
 white noises by omitting arguments 'p', 'q', 'ar' and 'ma'.  See Francq, C.
 and Zakoïan, J. (1998) <doi:10.1016/S0378-3758(97)00139-0> and Boubacar
 Maïnassara, Y. and Saussereau, B. (2018) <doi:10.1080/01621459.2017.1380030>
 for more details.

Package: r-cran-wearables
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 202
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xts, r-cran-lubridate, r-cran-dplyr, r-cran-rhrv, r-cran-magrittr, r-cran-signal, r-cran-waveslim, r-cran-futile.logger, r-cran-kernlab, r-cran-padr, r-cran-varian, r-cran-ggplot2, r-cran-r.utils
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wearables_0.8.1-1.ca2004.1_all.deb
Size: 163108
MD5sum: d05182286a6a771ccfa8916df6fa053b
SHA1: 6b02d814964cb7e93edb3fd492c6b0cd1f9840e9
SHA256: 117a985fe52c9ebef6c2af5d7cb6c63e22cbf000e1cae317917ed80aa6f1846e
SHA512: c09788271e3967b78c2c169b9ad34edb39b704a69d21947f2eb517c51c8e91c0b5c9c3feb1d0e43ffb31a3c20a11ad52479f0e9df368634e2f24c79a39d0c2ba
Homepage: https://cran.r-project.org/package=wearables
Description: CRAN Package 'wearables' (Tools to Read and Convert Wearables Data)
 Package to read Empatica E4 data, perform several transformations, perform
 signal processing and analyses, including batch analyses.

Package: r-cran-weatherindices
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-weatherindices_0.1.0-1.ca2004.1_all.deb
Size: 42108
MD5sum: 9def42a72759b5048357a879f09df9e8
SHA1: 1ca2373801177ec4b2ee13736a54258427b454d8
SHA256: a3cb2e2fd3e3e22ca8cf1ce7ddb6aa23cfcd2f3efbe7aa3a7d0eabca0f188886
SHA512: 3cf08100bc057c767d17de9961955e46765fbfdf23c594d108e7d8e45de5ff1aaa7c04a1c2e92fe448669cdc847c8a1b27268919de0641ef3b5d3565a6d34acf
Homepage: https://cran.r-project.org/package=weatherindices
Description: CRAN Package 'weatherindices' (Calculate Weather Indices)
 Weather indices represent the overall weekly effect of a weather variable on
 crop yield throughout the cropping season. This package contains functions
 that can convert the weekly weather data into yearly weighted Weather
 indices with weights being the correlation coefficient between weekly
 weather data over the years and crop yield over the years. This can be done
 for an individual weather variable and for two weather variables at a time
 as the interaction effect. This method was first devised by Jain, RC,
 Agrawal R, and Jha, MP (1980), "Effect of climatic variables on rice yield
 and its forecast",MAUSAM, 31(4), 591–596, <doi:10.54302/mausam.v31i4.3477>.
 Later, the method have been used by various researchers and the latest can
 found in Gupta, AK, Sarkar, KA, Dhakre, DS, & Bhattacharya, D (2022),
 "Weather Based Potato Yield Modelling using Statistical and Machine Learning
 Technique",Environment and Ecology, 40(3B),
 1444–1449,<https://www.environmentandecology.com/volume-40-2022>.

Package: r-cran-weathermetrics
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 188
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-weathermetrics_1.2.2-1.ca2004.1_all.deb
Size: 97656
MD5sum: 4f68c6b3b0e53fd31a7a829f59da3acc
SHA1: 8a0633c74517aa268d0c4bdf2eb8fb52fe609c8a
SHA256: e9818140400adbfee6031d06b6e77ff832416222010f1172e070851c8b8ff308
SHA512: dec0e1e6e68ed8f14cad2fcedb35c5d5191962b0f2d4db85b8c0ee0da8e877ce03778115a98bb513a6876e3726b5e24cde80e1d5fc30fffe8d12fb0e62936a9b
Homepage: https://cran.r-project.org/package=weathermetrics
Description: CRAN Package 'weathermetrics' (Functions to Convert Between Weather Metrics)
 Functions to convert between weather metrics, including conversions for
 metrics of temperature, air moisture, wind speed, and precipitation.  This
 package also includes functions to calculate the heat index from air
 temperature and air moisture.

Package: r-cran-weatheroz
Architecture: all
Version: 2.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1171
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-apsimx, r-cran-clock, r-cran-crayon, r-cran-crul, r-cran-curl, r-cran-data.table, r-cran-foreign, r-cran-jsonlite, r-cran-knitr, r-cran-lubridate, r-cran-magick, r-cran-sf, r-cran-stars, r-cran-terra, r-cran-xml2
Suggests: r-cran-covr, r-cran-dplyr, r-cran-ggplot2, r-cran-ggthemes, r-cran-gridextra, r-cran-mailr, r-cran-mapproj, r-cran-maps, r-cran-rmarkdown, r-cran-roxyglobals, r-cran-spelling, r-cran-testthat, r-cran-usethis, r-cran-vcr, r-cran-vdiffr, r-cran-withr
Filename: pool/dists/focal/main/r-cran-weatheroz_2.0.1-1.ca2004.1_all.deb
Size: 595924
MD5sum: dd8e99b7f48ed826eb6cb79308938b93
SHA1: 0e48419c50f41b369033ee61ff99a32d24fedf58
SHA256: e83d10f4ea3c5cb82f54d915d12bc38e8c4c597dd40081b4ca135f8c052681be
SHA512: 4df1bed92dcbbef0aa09b82b8629669fb9be9cbc3d89977dc4516eedd52b68ff590e75f3260127120acb0c297eecf342a0ee605029d274daf7478446686a9c11
Homepage: https://cran.r-project.org/package=weatherOz
Description: CRAN Package 'weatherOz' (An API Client for Australian Weather and Climate Data Resources)
 Provides automated downloading, parsing and formatting of weather data for
 Australia through API endpoints provided by the Department of Primary
 Industries and Regional Development ('DPIRD') of Western Australia and by
 the Science and Technology Division of the Queensland Government's
 Department of Environment and Science ('DES').  As well as the Bureau of
 Meteorology ('BOM') of the Australian government precis and coastal
 forecasts, and downloading and importing radar and satellite imagery files.
 'DPIRD' weather data are accessed through public 'APIs' provided by 'DPIRD',
 <https://www.agric.wa.gov.au/weather-api-20>, providing access to weather
 station data from the 'DPIRD' weather station network.  Australia-wide
 weather data are based on data from the Australian Bureau of Meteorology
 ('BOM') data and accessed through 'SILO' (Scientific Information for Land
 Owners) Jeffrey et al. (2001) <doi:10.1016/S1364-8152(01)00008-1>.  'DPIRD'
 data are made available under a Creative Commons Attribution 3.0 Licence (CC
 BY 3.0 AU) license <https://creativecommons.org/licenses/by/3.0/au/deed.en>.
 SILO data are released under a Creative Commons Attribution 4.0
 International licence (CC BY 4.0)
 <https://creativecommons.org/licenses/by/4.0/>. 'BOM' data are (c)
 Australian Government Bureau of Meteorology and released under a Creative
 Commons (CC) Attribution 3.0 licence or Public Access Licence ('PAL') as
 appropriate, see <http://www.bom.gov.au/other/copyright.shtml> for further
 details.

Package: r-cran-weatherr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggmap, r-cran-lubridate, r-cran-rjsonio, r-cran-xml
Filename: pool/dists/focal/main/r-cran-weatherr_0.1.3-1.ca2004.1_all.deb
Size: 25880
MD5sum: a4d333e8d30fee953f6bc5e382fd1cee
SHA1: 44bf8f5a2749fdd07f64c5d4772f3bac54287c30
SHA256: 297f0eadfcd23b127dcc25f0024f0209ea161454f9363b8fc18676facc908a8e
SHA512: 8ced23e11938dcdcff6eb12699d2f305454894ff8e7be36c195a53787ba11335b81571a102cc80b78d7e1d41294fa543828086d8231a6b5b69a3368b8650d22f
Homepage: https://cran.r-project.org/package=weatherr
Description: CRAN Package 'weatherr' (Tools for Handling and Scraping Instant Weather Forecast Feeds)
 Handle instant weather forecasts and geographical information. It combines
 multiple sources of information to obtain instant weather forecasts.

Package: r-cran-weathersentiment
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tidyverse, r-cran-wordcloud, r-cran-sentimentr, r-cran-tidytext, r-cran-ggplot2, r-cran-stringr, r-cran-data.table, r-cran-rcolorbrewer, r-cran-tidyr
Suggests: r-cran-dplyr, r-cran-syuzhet
Filename: pool/dists/focal/main/r-cran-weathersentiment_1.0-1.ca2004.1_all.deb
Size: 34132
MD5sum: d88dd9043afd54be244e0334f2b595dd
SHA1: 78ec01a6cad7840da5f04c38dc739e58469b4604
SHA256: b53afa85d626c84df8738dffacd05d6e081856434fccc0b7b3330ed1d7753984
SHA512: ec1a2eec67d48df3e03a2ec146d1d3f7e349772e86c5eaaa8b25927d59175411766bb71b33ad101635bf16bf9e9a9471a5858a0c089439aba273ab81219b0406
Homepage: https://cran.r-project.org/package=WeatherSentiment
Description: CRAN Package 'WeatherSentiment' (Comprehensive Analysis of Tweet Sentiments and Weather Data)
 A comprehensive suite of functions for processing, analyzing, and
 visualizing textual data from tweets is offered.  Users can clean tweets,
 analyze their sentiments, visualize data, and examine the correlation
 between sentiments and environmental data such as weather conditions. Main
 features include text processing, sentiment analysis, data visualization,
 correlation analysis, and synthetic data generation. Text processing
 involves cleaning and preparing tweets by removing textual noise and
 irrelevant words. Sentiment analysis extracts and accurately analyzes
 sentiments from tweet texts using advanced algorithms. Data visualization
 creates various charts like word clouds and sentiment polarity graphs for
 visual representation of data. Correlation analysis examines and calculates
 the correlation between tweet sentiments and environmental variables such as
 weather conditions. Additionally, random tweets can be generated for testing
 and evaluating the performance of analyses, empowering users to effectively
 analyze and interpret 'Twitter' data for research and commercial purposes.

Package: r-cran-weathr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr2, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-lutz, r-cran-magrittr, r-cran-purrr, r-cran-sf, r-cran-tibble
Suggests: r-cran-gt, r-cran-snakecase, r-cran-tmap
Filename: pool/dists/focal/main/r-cran-weathr_0.1.0-1.ca2004.1_all.deb
Size: 66236
MD5sum: 6d2aab0937b4a01ae470cf86e58526ad
SHA1: 9c05a712e44fda98ee2ceaaf956e65958406a628
SHA256: 66880b07bb90604d0c0078a1a1c9a08e2901b7f3b2441dd8f7c27271e0907fd5
SHA512: e6c375f32e5744fb17b0866b2867ef5be1d7fa1d249816d2ad7bdda605d6b61f7a870432a62a5631962a77722be80555d4ea01c7be5781686594df8929c6dfb7
Homepage: https://cran.r-project.org/package=weathR
Description: CRAN Package 'weathR' (Interact with the U.S. National Weather Service API)
 Enables interaction with the National Weather Service application
 programming web-interface for fetching of real-time and forecast
 meteorological data. Users can provide latitude and longitude, Automated
 Surface Observing System identifier, or Automated Weather Observing System
 identifier to fetch recent weather observations and recent forecasts for the
 given location or station. Additionally, auxiliary functions exist to
 identify stations nearest to a point, convert wind direction from character
 to degrees, and fetch active warnings. Results are returned as simple
 feature objects whenever possible.

Package: r-cran-webanalytics
Architecture: all
Version: 0.9.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3773
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-xtable, r-cran-data.table, r-cran-scales, r-cran-brew, r-cran-fs, r-cran-reshape2, r-cran-digest, r-cran-tinytex, r-cran-uaparserjs
Suggests: r-cran-whoami, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-webanalytics_0.9.12-1.ca2004.1_all.deb
Size: 1747844
MD5sum: eca56f960c2119ba50bf7ce4bcae8e4c
SHA1: 1f2b8bf8da7655c7fb933104485297a6fdc9a044
SHA256: 1f89887c764cebde1f92276d0d0987f9b6242d22cc7db39079b39be34a40f155
SHA512: 19636a5faf886ec79034c9325ea435d8d5b0c77a8edd264fb9cb47c8bdf6c118f7df68c5a96143174de0c07086af6b84797b57d1717a6b17f81947a60da2a8f8
Homepage: https://cran.r-project.org/package=WebAnalytics
Description: CRAN Package 'WebAnalytics' (Web Server Log Analysis)
 Provides Apache and IIS log analytics for transaction performance, client
 populations and workload definitions.

Package: r-cran-webchem
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 437
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-xml2, r-cran-httr, r-cran-rvest, r-cran-jsonlite, r-cran-stringr, r-cran-dplyr, r-cran-purrr, r-cran-data.tree, r-cran-tibble, r-cran-base64enc, r-cran-rlang
Suggests: r-cran-testthat, r-cran-rcdk, r-cran-covr, r-cran-robotstxt, r-cran-knitr, r-cran-rmarkdown, r-cran-plot.matrix, r-cran-usethis, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-webchem_1.3.0-1.ca2004.1_all.deb
Size: 350408
MD5sum: 457e81dbea65204dc59997ccfdcf7827
SHA1: c1fc34a3df10a9ac849c5f831719fa44dc054960
SHA256: b32bdc249ffabbf58ee7b2fae852aff54a89dc950511bc0946b134da83f456a9
SHA512: 68d15159ae54f8439cc9ee0aaa97a6846df20fa10169a1fd1c22bdd5f3528add12b2a0ec7811f34fd6ca07317279e1a0ad368d31cd3d810d0b5d9e7a657b25a8
Homepage: https://cran.r-project.org/package=webchem
Description: CRAN Package 'webchem' (Chemical Information from the Web)
 Chemical information from around the web. This package interacts with a
 suite of web services for chemical information. Sources include: Alan Wood's
 Compendium of Pesticide Common Names, Chemical Identifier Resolver, ChEBI,
 Chemical Translation Service, ChemSpider, ETOX, Flavornet, NIST Chemistry
 WebBook, OPSIN, PubChem, SRS, Wikidata.

Package: r-cran-webdav
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 232
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2, r-cran-httpuv, r-cran-xml2, r-cran-dplyr, r-cran-glue, r-cran-stringr, r-cran-magrittr, r-cran-tibble, r-cran-curl
Suggests: r-cran-testthat, r-cran-roxygen2, r-cran-knitr, r-cran-fortunes, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-webdav_0.1.5-1.ca2004.1_all.deb
Size: 139432
MD5sum: 284bf7ba1d5a3229867c9c561634e83d
SHA1: e8da205c83a557973e8ec9bf2c2006dde8a0cc6e
SHA256: 3c2b345e14576941b311012d9f7bc21d59544ecdf06de6ba9f8173a266139aed
SHA512: ef422ff2922e91076d3a1f13b66ddabda97b5e1bd8a55015d4f9c462ba28f38b1c5ac9f064b243366fe7e79fafca472fdce8b1afeaaa12a55b2c80e812861ef3
Homepage: https://cran.r-project.org/package=webdav
Description: CRAN Package 'webdav' (A Simple Interface for Interacting with 'WebDAV' Servers)
 An easy-to-use interface for interacting with 'WebDAV' servers, including
 'OwnCloud'. It simplifies the use of 'WebDAV' methods such as COPY, MOVE,
 DELETE and others.  With built-in authentication and request handling, it
 allows for easy management of files and directories over the 'WebDAV'
 protocol.

Package: r-cran-webdeveloper
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-httpuv, r-cran-html5, r-cran-future, r-cran-promises, r-cran-readr, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-webdeveloper_1.0.5-1.ca2004.1_all.deb
Size: 51408
MD5sum: f82c771922fc0556046c8f63523264f6
SHA1: 96c026c61b503745a0f13f8665ca5e953e16fbbb
SHA256: 865c8c5fade84e37356330b06f7cdd06336d26f6f9129535d3ee7d437c2ac7cd
SHA512: 1dbb9d1d619da14268b9931b3575e2d2c6913508e54fe722450bf9375a810dc3d46a3e016169ccb185a5c9066714390f6920d778c6205549f8612007e9911dc7
Homepage: https://cran.r-project.org/package=webdeveloper
Description: CRAN Package 'webdeveloper' (Functions for Web Development)
 Organizational framework for web development in R including functions to
 serve static and dynamic content via HTTP methods, includes the html5
 package to create HTML pages, and offers other utility functions for common
 tasks related to web development.

Package: r-cran-webdriver
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 229
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-callr, r-cran-base64enc, r-cran-curl, r-cran-debugme, r-cran-httr, r-cran-jsonlite, r-cran-r6, r-cran-showimage, r-cran-withr
Suggests: r-cran-covr, r-cran-pingr, r-cran-rprojroot, r-cran-servr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-webdriver_1.0.6-1.ca2004.1_all.deb
Size: 192680
MD5sum: c618acda6ded7e6f9eead28f48bc5136
SHA1: 6a21a2b56b29fd88052ac91e880e4c15eca92578
SHA256: 8969de17c32ee4757a939abbe0fd580492238452e24d4a200fa08f1096c59515
SHA512: 82a92db279d055d6b4de653abb0f708dbc1832ea3b6097955c45eabf8d2d50c3eaeb7f1b04a36823136dc29a315a957b448fada71fcf1656d1c298924041d695
Homepage: https://cran.r-project.org/package=webdriver
Description: CRAN Package 'webdriver' ('WebDriver' Client for 'PhantomJS')
 A client for the 'WebDriver' 'API'. It allows driving a (probably headless)
 web browser, and can be used to test web applications, including 'Shiny'
 apps. In theory it works with any 'WebDriver' implementation, but it was
 only tested with 'PhantomJS'.

Package: r-cran-webexercises
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1163
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-jsonlite, r-cran-knitr, r-cran-yaml, r-cran-rstudioapi, r-cran-rmarkdown
Suggests: r-cran-testthat, r-cran-bookdown, r-cran-quarto, r-cran-xfun
Filename: pool/dists/focal/main/r-cran-webexercises_1.1.0-1.ca2004.1_all.deb
Size: 493360
MD5sum: ab20237815ec9643cd882ffb0f93ef6c
SHA1: e28b9be9488ab38d266f696b57386a212ada36b8
SHA256: bed58d1332e26e994692cbe69e7d37e1fa9e67599940bae2fce67f6eac982bc4
SHA512: e4f679337235b87df552147eecbccc1ae5ec78825cf470a1c8577a4448e5685e3ab1a783abe7d60aec04ea59112a95edd0cb2c8ebf781c6eb53903db18a7fe84
Homepage: https://cran.r-project.org/package=webexercises
Description: CRAN Package 'webexercises' (Create Interactive Web Exercises in 'R Markdown' (Formerly'webex'))
 Functions for easily creating interactive web pages using 'R Markdown' that
 students can use in self-guided learning.

Package: r-cran-webglobe
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 9883
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-geojsonio, r-cran-jsonlite, r-cran-httpuv
Suggests: r-cran-knitr, r-cran-r.rsp, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-webglobe_1.0.3-1.ca2004.1_all.deb
Size: 2771016
MD5sum: b42cdb4a56cc34a59dd5aec9bcf4e19f
SHA1: a7c63eb10b0370e3e58d0c915ff558332bb5d380
SHA256: 410e1592c27b53631a2359e9b1cb3f648296abd6e884b377c8c356adcb66c314
SHA512: 8bc9b24da615dffd0af2daeb7245001c5726b9b7d6321f5b325ec30f82435ef1a14372ed93e35cdf75baefe49d2d9179f132f25e7bd506401a00024ca8d4cd2f
Homepage: https://cran.r-project.org/package=webglobe
Description: CRAN Package 'webglobe' (3D Interactive Globes)
 Displays geospatial data on an interactive 3D globe in the web browser.

Package: r-cran-webmap
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1388
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-htmltools, r-cran-htmlwidgets, r-cran-leaflet
Suggests: r-cran-connectapi, r-cran-covr, r-cran-knitr, r-cran-pkgbuild, r-cran-pkgdown, r-cran-pkgload, r-cran-rcmdcheck, r-cran-remotes, r-cran-renv, r-cran-roxygen2, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-webmap_1.1.1-1.ca2004.1_all.deb
Size: 1241372
MD5sum: b67e8b7bddaac0a99a0fabc685ca6bb0
SHA1: 8ba70d4c63f919234a447bf1b0d535dc1212461b
SHA256: 9583ec5948ebe4dfac0868539a7137efbab16633977aaa74184c09dca732d09b
SHA512: 795791075ba4faee4071c1b0844ff78e2f2a78f96ca1f3f914aafa03849f7f868b363a13bc5f635d95ab7c48794bd790557463d142614ea0f1d7844c0e155bd4
Homepage: https://cran.r-project.org/package=webmap
Description: CRAN Package 'webmap' (Create Interactive Web Maps Using 'The National Map' Services)
 Creates interactive web maps using the 'JavaScript' 'Leaflet' library with
 base layers of 'The National Map' ('TNM'). 'TNM' services provide access to
 base geospatial information that describes the landscape of the United
 States and its territories. This package is dependent on, and intended to be
 used with, the 'leaflet' package.

Package: r-cran-webmockr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 844
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-jsonlite, r-cran-magrittr, r-cran-r6, r-cran-urltools, r-cran-fauxpas, r-cran-rlang, r-cran-cli
Suggests: r-cran-testthat, r-cran-xml2, r-cran-vcr, r-cran-crul, r-cran-httr, r-cran-httr2, r-cran-diffobj, r-cran-withr
Filename: pool/dists/focal/main/r-cran-webmockr_2.1.0-1.ca2004.1_all.deb
Size: 683492
MD5sum: 4d97d76a317a892ec9a5820ae1f34a7f
SHA1: 71327ae02ffadf7a7c4922fb27adffb1e3ec4af9
SHA256: d5e53a2113f4d0bad62c01a3d67c0bb0dc34c0cb5ec2d0c7f7ceea393289570f
SHA512: f2b66c9c77f35dd13da6cdd676761d11a650f40043cb5c5d46b5181de28927154f4d97cb48f2c49014fa6da4f7b8622181cadfc1d62b7071d5ed3e2c4d6454c9
Homepage: https://cran.r-project.org/package=webmockr
Description: CRAN Package 'webmockr' (Stubbing and Setting Expectations on 'HTTP' Requests)
 Stubbing and setting expectations on 'HTTP' requests.  Includes tools for
 stubbing 'HTTP' requests, including expected request conditions and response
 conditions. Match on 'HTTP' method, query parameters, request body, headers
 and more. Can be used for unit tests or outside of a testing context.

Package: r-cran-webmorphr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1752
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-jsonlite, r-cran-magick, r-cran-geomorph, r-cran-httr, r-cran-progress, r-cran-rsvg, r-cran-ggplot2
Suggests: r-cran-shiny, r-cran-shinyjs, r-cran-shinydashboard, r-cran-shinywidgets, r-cran-dt, r-cran-gifski, r-cran-testthat, r-cran-usethis, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-webmorphr_0.1.1-1.ca2004.1_all.deb
Size: 1403548
MD5sum: d456ea2a4e5424786bb0e11134662656
SHA1: 15ccbb35da7edb32357982290bfb8bf3d2b38e7d
SHA256: 4db003fe5728cf16c8013b9c4263f96246dae0b38410d3ff14bb77ecaff6f201
SHA512: 78ef562efc822929992b6134c75e763fe5f96446d5b0fb98f5f7b7d188e7bd4a0b462c3aa567e6c1bd351debbc99ec4f8db93eae4926787d63145638562036fe
Homepage: https://cran.r-project.org/package=webmorphR
Description: CRAN Package 'webmorphR' (Reproducible Stimuli)
 Create reproducible image stimuli, specialised for face images with
 'psychomorph' or 'webmorph' templates.

Package: r-cran-webpower
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 452
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-lme4, r-cran-lavaan, r-cran-pearsonds, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-webpower_0.9.4-1.ca2004.1_all.deb
Size: 410320
MD5sum: eb2b439832c3ad76a4de5d5035863cdd
SHA1: 13200db6f7e70f3a8b3626b8d4c30dcb7530dbfd
SHA256: 21e7d517c4ac8a2969da01e1c90abe29b34e224126d3e9ce86a3323160193747
SHA512: 629e1fc7b2c129a537602fa09357d2004ee062711115098ba0c7a253cddb54e56255d1310b3b00b405d25ee74d71ad84a5792c4b6219e1be76b9ecc3843e8fab
Homepage: https://cran.r-project.org/package=WebPower
Description: CRAN Package 'WebPower' (Basic and Advanced Statistical Power Analysis)
 This is a collection of tools for conducting both basic and advanced
 statistical power analysis including correlation, proportion, t-test,
 one-way ANOVA, two-way ANOVA, linear regression, logistic regression,
 Poisson regression, mediation analysis, longitudinal data analysis,
 structural equation modeling and multilevel modeling. It also serves as the
 engine for conducting power analysis online at
 <https://webpower.psychstat.org>.

Package: r-cran-webqueue
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 204
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-httpuv, r-cran-jsonlite, r-cran-jobqueue, r-cran-later, r-cran-parallelly, r-cran-promises, r-cran-r6, r-cran-rlang, r-cran-semaphore, r-cran-webutils
Suggests: r-cran-httr2, r-cran-knitr, r-cran-rcurl, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-webqueue_1.0.0-1.ca2004.1_all.deb
Size: 99596
MD5sum: 663dc65b9db5739d58330ac6b5ad4f58
SHA1: 822c4c2069133aefeb9e7eb41b4a934ce06b84a7
SHA256: 4123a820145e4df9c55d611a71fd9251b57a9083730cf497151c74fb9393f800
SHA512: 8eac1f4e3fcaef15a1644687b082251ddf62972787d5b640a5469f2fd817e75b1da768f5ccdc80fb66900563af9140cec540c8e805e605b87a14f3eef1e18311
Homepage: https://cran.r-project.org/package=webqueue
Description: CRAN Package 'webqueue' (Multicore HTTP Server)
 Distributes HTTP requests among a pool of background R processes.  Supports
 timeouts and interrupts of requests to ensure that CPU cores are utilized
 effectively.

Package: r-cran-webr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1748
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-moonbook, r-cran-ggplot2, r-cran-shiny, r-cran-stringr, r-cran-sjlabelled, r-cran-flextable, r-cran-magrittr, r-cran-rrtable, r-cran-dplyr, r-cran-tibble, r-cran-purrr, r-cran-rlang, r-cran-tidyr, r-cran-tidyselect, r-cran-psych, r-cran-ztable, r-cran-ggforce, r-cran-scales, r-cran-vcd
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-webr_0.1.5-1.ca2004.1_all.deb
Size: 910716
MD5sum: 6861155a4a8bc3e8edce82fedf534ec1
SHA1: b9f6c2b24fadbdb5745626d9efe60a519ce4bfda
SHA256: 69746c53c0213fea1c75c3c6c1be1d8e88b0fad7ceb808aaaa0ffa2113d6b3ae
SHA512: e8bb9c1e53311943b0908670fc815fbb75870e0625ed7169535921a58262c9e0001f8b872d3358620781adc9f66fe5bf7261bfbad9e823efdf3d16d7d6293571
Homepage: https://cran.r-project.org/package=webr
Description: CRAN Package 'webr' (Data and Functions for Web-Based Analysis)
 Several analysis-related functions for the book entitled "Web-based Analysis
 without R in Your Computer"(written in Korean, ISBN 978-89-5566-185-9) by
 Keon-Woong Moon. The main function plot.htest() shows the distribution of
 statistic for the object of class 'htest'.

Package: r-cran-websdm
Architecture: all
Version: 1.1-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1571
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggally, r-cran-abind, r-cran-bayesplot, r-cran-brms, r-cran-broom.mixed, r-cran-dismo, r-cran-dplyr, r-cran-ggplot2, r-cran-glmnet, r-cran-gridextra, r-cran-igraph, r-cran-jtools, r-cran-rstanarm, r-cran-rstantools
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-devtools, r-cran-loo, r-cran-randomforest, r-cran-network, r-cran-sna, r-cran-scales, r-cran-intergraph
Filename: pool/dists/focal/main/r-cran-websdm_1.1-5-1.ca2004.1_all.deb
Size: 1144576
MD5sum: aef3e7c067533070435de60fd1e80a29
SHA1: 76bf83852d0c3a01da2909a9b843da26225af836
SHA256: 23a6fbed670935fd0c3775e8ceaf78b33d68b5914cc8fc9c36f0bd7c52160b02
SHA512: 03926367ba2077874bb8bbc091352421dbe993e88227dc27084af5decd0e65ad0e0a992812335be9c2d5c0316067a0c11a085a88309644d700f21f252f55fdec
Homepage: https://cran.r-project.org/package=webSDM
Description: CRAN Package 'webSDM' (Including Known Interactions in Species Distribution Models)
 A collection of tools to fit and work with trophic Species Distribution
 Models. Trophic Species Distribution Models combine knowledge of trophic
 interactions with Bayesian structural equation models that model each
 species as a function of its prey (or predators) and environmental
 conditions. It exploits the topological ordering of the known trophic
 interaction network to predict species distribution in space and/or time,
 where the prey (or predator) distribution is unavailable. The method
 implemented by the package is described in Poggiato, Andréoletti, Pollock
 and Thuiller (2022) <doi:10.22541/au.166853394.45823739/v1>.

Package: r-cran-websearchr
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 74
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-websearchr_0.0.3-1.ca2004.1_all.deb
Size: 40448
MD5sum: 5ea9c213f009f51760894b5153256900
SHA1: d7c1d47ce346ed23e432a15d264b87104f7ef2fb
SHA256: 5f74c0ad6f57e083bb82f8e3d50a766b3dd12d9d919841e03ce0cc2837131086
SHA512: e305c3d7a53b1faa31bf481d1d1a12b22081ada014e94dc7e7c04cb1f5ba667cbe73b870cf8af2d01ed20136430cc07b03c1de7aa00b478de7f1938217d51660
Homepage: https://cran.r-project.org/package=websearchr
Description: CRAN Package 'websearchr' (Access Domains and Search Popular Websites)
 Functions that allow for accessing domains and a number of search engines.

Package: r-cran-webshot2
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 612
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-chromote, r-cran-later, r-cran-magrittr, r-cran-promises
Suggests: r-cran-httpuv, r-cran-rmarkdown, r-cran-shiny
Filename: pool/dists/focal/main/r-cran-webshot2_0.1.2-1.ca2004.1_all.deb
Size: 563048
MD5sum: e78e23696756fbcaaca00af53dc76815
SHA1: e79c5d6c1bae6c69b2708b55b0bfc5224118cff4
SHA256: da312aed1802352421665851a05c6881962394a25867fd605dca3fd3b2301fdd
SHA512: 57c03c7b4020e125ccba8beedf897ef51fe0eaa3db63f140a1594b740815e109819276cf6fea14869b00344239864566fca3bb78c9a2c7d76108924c302fc414
Homepage: https://cran.r-project.org/package=webshot2
Description: CRAN Package 'webshot2' (Take Screenshots of Web Pages)
 Takes screenshots of web pages, including Shiny applications and R Markdown
 documents. 'webshot2' uses headless Chrome or Chromium as the browser
 back-end.

Package: r-cran-webshot
Architecture: all
Version: 0.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 470
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-jsonlite, r-cran-callr
Suggests: r-cran-httpuv, r-cran-knitr, r-cran-rmarkdown, r-cran-shiny, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-webshot_0.5.5-1.ca2004.1_all.deb
Size: 188568
MD5sum: e434ca9c400bad7a5ba870b3b86b24f6
SHA1: 459bb40c6f9af67443f056371c8f5377b34623ce
SHA256: bbfd0a15344c01445b03e2019b071232cff5e53d28e54253d1220ab3892fa7d1
SHA512: 94f2a3ae041ba7475a37996bf25905dcd2a3cac06cbe367aedded6861b00c8ca4517056c19a8302af141558ccde22c3c20f4287181d0ab88a8c839cbe25817b2
Homepage: https://cran.r-project.org/package=webshot
Description: CRAN Package 'webshot' (Take Screenshots of Web Pages)
 Takes screenshots of web pages, including Shiny applications and R Markdown
 documents.

Package: r-cran-webtools
Architecture: all
Version: 0.7.12-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1463
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-jsonlite, r-cran-stringr, r-cran-crayon, r-cran-rcurl, r-cran-readr, r-cran-rstudioapi, r-cran-pkgsearch, r-cran-tibble, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-webtools_0.7.12-1.ca2004.1_all.deb
Size: 1468240
MD5sum: 7cee892bfe0e921cc8affa4c7ee43d44
SHA1: ecc9e0eaf9c78133b24f82c052e8ba51224afc91
SHA256: 86a9e097a0cf998964d7d20bec5f945d427ff95d5d16f54cc01f86fc2a8b9bde
SHA512: 9d4ca51be5095d443307c5b2cab3ef73cf57147a6b207c67dc6fa692c9c2835d91772b6e23dc7c05d260c96dfcfc8e6802da767319d7845190c7a414031c426c
Homepage: https://cran.r-project.org/package=webtools
Description: CRAN Package 'webtools' (Various Useful Web Tools (Including Full CRAN Dataset Search andFetch))
 A set of useful web tools to improve your productivity. Including: searching
 DuckDuckGo; finding and loading datasets across all CRAN packages (not just
 those you've installed); sharing a file to a paste-bin; getting a fast GUID;
 useful info on all countries; Random Seinfeld show quotes; Seinfeld guessing
 game.

Package: r-cran-webtrackr
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1428
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-fastmatch, r-cran-adar, r-cran-httr, r-cran-data.table
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-webtrackr_0.3.1-1.ca2004.1_all.deb
Size: 1385320
MD5sum: b58d85372c3083898e68358317bb4567
SHA1: 19204b8d95262a9537ec01c6364d84005c8f988f
SHA256: 0e0991d8599d3372a58e22db837c33f1d357a55838539e50eefe32db5b36d950
SHA512: 2f20c730a6ca7e85c0b3ef46afc1d8536c8843359ddc679a6e55cbcd18be3dcd44ecca2e8f1c28e431587bd489d6dcc688a2ee3b80899ab95ad6ad90c7c77cfa
Homepage: https://cran.r-project.org/package=webtrackR
Description: CRAN Package 'webtrackR' (Preprocessing and Analyzing Web Tracking Data)
 Data structures and methods to work with web tracking data. The functions
 cover data preprocessing steps, enriching web tracking data with external
 information and methods for the analysis of digital behavior as used in
 several academic papers (e.g., Clemm von Hohenberg et al., 2023
 <doi:10.17605/OSF.IO/M3U9P>; Stier et al., 2022
 <doi:10.1017/S0003055421001222>).

Package: r-cran-webtrisr
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-httr, r-cran-purrr, r-cran-dplyr, r-cran-readr, r-cran-sf
Suggests: r-cran-testthat, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-webtrisr_0.2.0-1.ca2004.1_all.deb
Size: 33116
MD5sum: 673fff87543bee53069820d35fe746ea
SHA1: 42210b5da39899f7904367d3d2bfda63e267d399
SHA256: b0aefddb0b133edad2c64f08fdd78ff6f438370bb2b4107c3b43e5b85988a894
SHA512: a7f3fe303f913c0e1eb0db524f17bdb1e87f4d5a52eb49b3b21512a4727d6495d71d3a7c28923a07ad82ad500f0985835c79277bf78a495eaa1d06db778212d5
Homepage: https://cran.r-project.org/package=webTRISr
Description: CRAN Package 'webTRISr' (A Wrapper Around 'WebTRIS' Traffic Flow API from HighwaysEngland)
 Provides functions to query data from the 'WebTRIS' Traffic Flow API (from
 Highways England) into tidy data frames.  The API documentation is available
 here: <http://webtris.highwaysengland.co.uk/api/swagger/ui/index>.

Package: r-cran-webuse
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-haven
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-webuse_0.1.3-1.ca2004.1_all.deb
Size: 11204
MD5sum: 9cb4c26bdcad41a8816281b696c11d0e
SHA1: 7baabefb9a6e67918986a71dd49c5a279f91cdec
SHA256: f88c2eb21d703824391096bdb95e99481ef257015d681aa83c0cde8b5b824966
SHA512: 00e6ca46afffacb309f35808c65ccb05090ec6823cb62470dd4f92e18714b717f4041206917b53c011c1eacba93aca061edb513218ab7140bfdc5e414d6368e3
Homepage: https://cran.r-project.org/package=webuse
Description: CRAN Package 'webuse' (Import Stata 'webuse' Datasets)
 A Stata-style `webuse()` function for importing named datasets from Stata's
 online collection.

Package: r-cran-wec
Architecture: all
Version: 0.4-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-wec_0.4-1-1.ca2004.1_all.deb
Size: 117536
MD5sum: 94dd39000487be77c7a11dbbb82800e4
SHA1: 2bb93e739c1ccbe2e8d28ed97b627cffee0dcff4
SHA256: 84ec7a1b92e24f7bac547d7e9b5a22bef978685a0f5aa0d036de32bb2da81102
SHA512: 0f9a097a03f928356c031c818de10ac0b3978262817b3dcfd2991f4ed7ed9c86b36bb37954ba6b9a0a5d3eea719d8c0e50c9a35b312dc4e32e2d411563488ca2
Homepage: https://cran.r-project.org/package=wec
Description: CRAN Package 'wec' (Weighted Effect Coding)
 Provides functions to create factor variables with contrasts based on
 weighted effect coding, and their interactions. In weighted effect coding
 the estimates from a first order regression model show the deviations per
 group from the sample mean. This is especially useful when a researcher has
 no directional hypotheses and uses a sample from a population in which the
 number of observation per group is different.

Package: r-cran-wee
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-doparallel, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-wee_1.0-1.ca2004.1_all.deb
Size: 104532
MD5sum: ce1570eb0c03f9f8d7e1d83810d26de1
SHA1: 599df28a65fedbc392f31f85ce043ca54a753f9b
SHA256: b99dedcde703d95670136c5a87a0e7c12416d84a5149cb54eaebaf2ebf04f5ea
SHA512: 5a98ddf227d68ee0a800cc05a71f3812d7f8a173532ae7672a5dd96007613b418e96eca755e7fb0926e6572a5419fdae455dc9672430f75175d27d01988fb50a
Homepage: https://cran.r-project.org/package=WEE
Description: CRAN Package 'WEE' (Weighted Estimated Equation (WEE) Approaches in GeneticCase-Control Studies)
 Secondary analysis of case-control studies using a weighted estimating
 equation (WEE) approach: logistic regression for binary secondary outcomes,
 linear regression and quantile regression for continuous secondary outcomes.

Package: r-cran-weed
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-dplyr, r-cran-magrittr, r-cran-tidytext, r-cran-stringr, r-cran-tibble, r-cran-geonames, r-cran-countrycode, r-cran-purrr, r-cran-tidyr, r-cran-forcats, r-cran-ggplot2, r-cran-sf, r-cran-here
Filename: pool/dists/focal/main/r-cran-weed_1.1.2-1.ca2004.1_all.deb
Size: 108596
MD5sum: 65301e423b17ee71a083230a0a382977
SHA1: 9216a15401cb54254c1a6bb253ec9e04a9b7e822
SHA256: e65c8109f3272e705a176f2809bc602d064f94b3672c57761c64682a5355ef92
SHA512: 62883d3922b6a340b169001d600facfe5d568828ce05ab0cb755c8fd09d4913fe1536afd223ffad2deaa922ebaeb0691ba39c99104b6c9f90ec4dc543152ab56
Homepage: https://cran.r-project.org/package=weed
Description: CRAN Package 'weed' (Wrangler for Emergency Events Database)
 Makes research involving EMDAT and related datasets easier. These Datasets
 are manually filled and have several formatting and compatibility issues.
 Weed aims to resolve these with its functions.

Package: r-cran-wege
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sf, r-cran-sp, r-cran-raster
Filename: pool/dists/focal/main/r-cran-wege_0.1.0-1.ca2004.1_all.deb
Size: 50972
MD5sum: ba363069320817ef5569cdbf05c9f51a
SHA1: c026c0b0a7c874cf0e23326c9698a2a97040cd5c
SHA256: 906210c63c64ab23c386eba7a1f1965d590dde09c6d9c0b861a165be2899c2cc
SHA512: 121adc4cfbab1171a755d6ce074af85fff42193521fd2e375432f7d6dd681f7d3b8e0a3af922b6363789435f4303b91710256c527dc81fc55bce9f0ca01ca17c
Homepage: https://cran.r-project.org/package=WEGE
Description: CRAN Package 'WEGE' (A Metric to Rank Locations for Biodiversity Conservation)
 Calculates the WEGE (Weighted Endemism including Global Endangerment index)
 index for a particular area. Additionally it also calculates rasters of
 KBA's (Key Biodiversity Area) criteria (A1a, A1b, A1e, and B1), Weighted
 endemism (WE), the EDGE (Evolutionarily Distinct and Globally Endangered)
 score, Evolutionary Distinctiveness (ED) and Extinction risk (ER). Farooq,
 H., Azevedo, J., Belluardo F., Nanvonamuquitxo, C., Bennett, D., Moat, J.,
 Soares, A., Faurby, S. & Antonelli, A. (2020)
 <doi:10.1101/2020.01.17.910299>.

Package: r-cran-wehoop
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1749
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-data.table, r-cran-dplyr, r-cran-glue, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-progressr, r-cran-rcpp, r-cran-rcppparallel, r-cran-rlang, r-cran-rvest, r-cran-stringr, r-cran-tidyr, r-cran-usethis
Suggests: r-cran-crayon, r-cran-curl, r-cran-dbi, r-cran-ggplot2, r-cran-ggrepel, r-cran-httr, r-cran-knitr, r-cran-lifecycle, r-cran-rmarkdown, r-cran-rsqlite, r-cran-stringi, r-cran-testthat, r-cran-tibble, r-cran-tictoc, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-wehoop_2.1.0-1.ca2004.1_all.deb
Size: 1561304
MD5sum: e0f0e50ffcfee9c499a7d5603967bb11
SHA1: 4b81ed93a850eb3f9c95d8c5a41f319c9e5ff111
SHA256: 6aadf3c10fa580a07180b5b63979fbce99ffbb4617d5bf02e164d32860211668
SHA512: 4e86822c822c5644d8e16dac6728c431aaa05d475c3ab2298a81868ce2539a0b0bb2380a09f7f3da89bce432b46652340b63fa2f6392e5cb1b601bde7dce300b
Homepage: https://cran.r-project.org/package=wehoop
Description: CRAN Package 'wehoop' (Access Women's Basketball Play by Play Data)
 A utility for working with women's basketball data. A scraping and
 aggregating interface for the WNBA Stats API <https://stats.wnba.com/> and
 ESPN's <https://www.espn.com> women's college basketball and WNBA
 statistics. It provides users with the capability to access the game
 play-by-plays, box scores, standings and results to analyze the data for
 themselves.

Package: r-cran-weibull4
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-weibull4_1.0.0-1.ca2004.1_all.deb
Size: 54576
MD5sum: b305a68355a1d998ee8eeaab85533617
SHA1: 3230fd5fe2f79e11bed89d5174adc4462e53f929
SHA256: b689b0d73291aa5c1259a3ed87abdb64fd82607a3162795f7ebb9f1026e99888
SHA512: d6870588f57a023c4a25b3e36be838c243585f17e8022246e26fc0742a11c95b3ac41eba9b08e31cfdd73ef0400056a481c6d047249d36f4b7c4fe7d03d1dc1d
Homepage: https://cran.r-project.org/package=weibull4
Description: CRAN Package 'weibull4' (Fits Data into 4-Parameters Weibull Distribution)
 Performs a curve fit to 4-parameters Weibull distribution using Metropolis
 algorithm - Markov chain-Monte Carlo method. Special usage for fitting
 COVID-19 epidemic data on daily new cases and deaths. Also, builds the
 4-parameters Weibull distribution curve using given parameters (shape,
 scale, location and area).

Package: r-cran-weibullfit
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 239
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glue, r-cran-xtable, r-cran-sqldf, r-cran-r.oo, r-cran-fadist, r-cran-mixdist, r-cran-optimx, r-cran-ksamples, r-cran-e1071, r-cran-r.methodss3
Filename: pool/dists/focal/main/r-cran-weibullfit_0.1.0-1.ca2004.1_all.deb
Size: 204764
MD5sum: ff5a4a23f585ce0f9258190bbc0c9584
SHA1: 5e9b4f86eda125ade05b0e79ff99f2202c62aa79
SHA256: 47eee82420c0ecbdf2798aa6738f7be9f22306ba1c879abf989cf4418bb2e09e
SHA512: edff08a31881b2ead0c1bef621101cc43687651db9be6768605c32538c6c85dc974fa510da6d29d39cbd0521aff9a30ecf6936a6d5a7a6b0485b462e9a61a542
Homepage: https://cran.r-project.org/package=WeibullFit
Description: CRAN Package 'WeibullFit' (Fits and Plots a Dataset to the Weibull Probability DistributionFunction)
 Provides a single function to fit data of an input data frame into one of
 the selected Weibull functions (w2, w3 and it's truncated versions),
 calculating the scale, location and shape parameters accordingly. The
 resulting plots and files are saved into the 'folder' parameter provided by
 the user. References: a) John C. Nash, Ravi Varadhan (2011). "Unifying
 Optimization Algorithms to Aid Software System Users: optimx for R"
 <doi:10.18637/jss.v043.i09>.

Package: r-cran-weibullness
Architecture: all
Version: 1.24.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4399
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-bsgof
Filename: pool/dists/focal/main/r-cran-weibullness_1.24.1-1.ca2004.1_all.deb
Size: 3552512
MD5sum: 24dad94a0e66239ae856fcf98a8aff9a
SHA1: b1034d7e755d8831710c7d17cd5b1729c180d476
SHA256: 6f0017f8d88b2491d80fdebb6bed0cb1537a4bc0b80d6762e147a5c80784575f
SHA512: 713b0ca9c8650b04bced341d5f4a7f2d4ff6162462bcc5aa51bbf1313646b34ddd2baa81e38f170ea4cbbfced25fc0581dffe9dee7c40c2bf9d471f4d5a76336
Homepage: https://cran.r-project.org/package=weibullness
Description: CRAN Package 'weibullness' (Goodness-of-Fit Test for Weibull Distribution (Weibullness))
 Conducts a goodness-of-fit test for the Weibull distribution (referred to as
 the weibullness test) and furnishes parameter estimations for both the
 two-parameter and three-parameter Weibull distributions. Notably, the
 threshold parameter is derived through correlation from the Weibull plot.
 Additionally, this package conducts goodness-of-fit assessments for the
 exponential, Gumbel, and inverse Weibull distributions, accompanied by
 parameter estimations.  For more details, see Park (2017)
 <doi:10.23055/ijietap.2017.24.4.2848>, Park (2018)
 <doi:10.1155/2018/6056975>, and Park (2023) <doi:10.3390/math11143156>.
 This work was supported by the National Research Foundation of Korea (NRF)
 grants funded by the Korea government (MSIT) (No. 2022R1A2C1091319,
 RS-2023-00242528).

Package: r-cran-weibullr.alt
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 135
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-weibullr
Filename: pool/dists/focal/main/r-cran-weibullr.alt_0.7.2-1.ca2004.1_all.deb
Size: 107032
MD5sum: b5f9da5324f7890592c078525738d25d
SHA1: 9556f93d9ad8b2290b3b50839565915a23034061
SHA256: 93dbd3a21fb1cc9f81d9d60bb01138a52f9132fa7ce1ce392a38945d83076513
SHA512: 50a0df28db2ef65e03f3e08f19ec736a37da3202a87994adb68f18ae8a1d4cf8c70893e9593dc4d54f8140278c72ad258e4ed2ea238d71e20ecacd3b253750eb
Homepage: https://cran.r-project.org/package=WeibullR.ALT
Description: CRAN Package 'WeibullR.ALT' (Accelerated Life Testing Using 'WeibullR')
 Graphical data analysis of accelerated life tests. Methods derived from
 Wayne Nelson (1990, ISBN: 9780471522775), William Q. Meeker and Lois A.
 Escobar (1998, ISBN: 1-471-14328-6).

Package: r-cran-weibullr.learnr
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3293
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-learnr, r-cran-reliagrowr, r-cran-weibullr, r-cran-weibullr.alt
Suggests: r-cran-weibullr.plotly, r-cran-weibullr.shiny
Filename: pool/dists/focal/main/r-cran-weibullr.learnr_0.2-1.ca2004.1_all.deb
Size: 2015044
MD5sum: a1fe9d248905cf7929e8e469b8140fb5
SHA1: abc340fd6c17e354062a9ad49dd95a00f112594c
SHA256: a1e16894b6f5d6c8eab84d9d0f86dc239899c439a9de0d45e3429f84c215a23d
SHA512: 68038c71b7de740d01a69cb5c00c0684a4491b8e12ae50ebd0b9c086d33d7769fc2321067c5e72b8ee6f2fd036b1c6543e07ee14eaa42567d778d79c229cbbea
Homepage: https://cran.r-project.org/package=WeibullR.learnr
Description: CRAN Package 'WeibullR.learnr' (An Interactive Introduction to Life Data Analysis)
 An interactive introduction to Life Data Analysis that depends on 'WeibullR'
 by David Silkworth and Jurgen Symynck (2022)
 <https://CRAN.R-project.org/package=WeibullR>, a R package for Weibull
 Analysis, and 'learnr' by Garrick Aden-Buie et al. (2023)
 <https://CRAN.R-project.org/package=learnr>, a framework for building
 interactive learning modules in R.

Package: r-cran-weibullr.plotly
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1617
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotly, r-cran-reliagrowr, r-cran-weibullr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-weibullr.learnr, r-cran-weibullr.shiny
Filename: pool/dists/focal/main/r-cran-weibullr.plotly_0.3-1.ca2004.1_all.deb
Size: 385248
MD5sum: d423abc59d0e8eb30deca63aa6b03330
SHA1: 4e330c008d86ab6f53b37d25db32792dc400b4d4
SHA256: d14542734179ba1b07a2866757888d4f3553f78a7e478180210085c9e03f4ca4
SHA512: 23366476e83ee302449120e9416f5dd9065e6bd91e7a9221792ecf8f44ec3be1ae972a2b3ea5c8f05ce9c9e15ec78bbab1c12738664c53769247304733c4ebf1
Homepage: https://cran.r-project.org/package=WeibullR.plotly
Description: CRAN Package 'WeibullR.plotly' (Interactive Weibull Probability Plots)
 Build interactive Weibull Probability Plots with 'WeibullR' by David
 Silkworth and Jurgen Symynck (2022)
 <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull
 analysis, and 'plotly' by Carson Sievert (2020) <https://plotly-r.com>, an
 interactive web-based graphing library.

Package: r-cran-weibullr.shiny
Architecture: all
Version: 0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 314
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-magrittr, r-cran-reliagrowr, r-cran-weibullr, r-cran-weibullr.plotly, r-cran-shiny, r-cran-shinydashboard, r-cran-shinywidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-shinytest2, r-cran-weibullr.learnr
Filename: pool/dists/focal/main/r-cran-weibullr.shiny_0.3-1.ca2004.1_all.deb
Size: 190068
MD5sum: f66ae92882fe873dd57dd65674d5e072
SHA1: 5d65442512eb86ed1175f9561fd26fec67e86f9b
SHA256: 9b66a04e8e43ebc12c76d708c937090c800bbcee8b403861319a035d02e0cdb3
SHA512: 78ff316508eeebe3ef7669785813414f54bf2b5cc5d92731d862505367513fed782265927ad09b2323f9a77031a4459f22572bcc18ec1870ef0357950fdacc42
Homepage: https://cran.r-project.org/package=WeibullR.shiny
Description: CRAN Package 'WeibullR.shiny' (A 'Shiny' App for Weibull Analysis)
 A 'Shiny' web application for life data analysis that depends on 'WeibullR'
 by David Silkworth and Jurgen Symynck (2022)
 <https://CRAN.R-project.org/package=WeibullR>, an R package for Weibull
 analysis.

Package: r-cran-weighted.desc.stat
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-weighted.desc.stat_1.0-1.ca2004.1_all.deb
Size: 48200
MD5sum: 2d2d61db6588393e0c03586b31fbd82b
SHA1: 34627f4df9db6ee9d4af09dbc4991494872c1ae6
SHA256: a93a1a319e1ea1f4fb473687c71d231ba663043e9eef7b35bfd1e6b2e05f1f25
SHA512: ad8bb52c02b1287ae80c0d75260c896b12256d7f4f0466287ceec0b39d53d4542c675d513e4f2db25f527272f1e8630100c33053b265d4e8b1c018d29fa8d079
Homepage: https://cran.r-project.org/package=Weighted.Desc.Stat
Description: CRAN Package 'Weighted.Desc.Stat' (Weighted Descriptive Statistics)
 Weighted descriptive statistics is the discipline of quantitatively
 describing the main features of real-valued fuzzy data which usually given
 from a fuzzy population. One can summarize this special kind of fuzzy data
 numerically or graphically using this package. To interpret some of the
 properties of one or several sets of real-valued fuzzy data, numerically
 summarize is possible by some weighted statistics which are designed in this
 package such as mean, variance, covariance and correlation coefficent. Also,
 graphically interpretation can be given by weighted histogram and weighted
 scatter plot using this package to describe properties of real-valued fuzzy
 data set.

Package: r-cran-weightedensemble
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-metaheuristicopt
Filename: pool/dists/focal/main/r-cran-weightedensemble_0.1.0-1.ca2004.1_all.deb
Size: 20664
MD5sum: 366d71da8001ef12ec5e41851a192878
SHA1: 3b30e84f74b7c7dd96e588ed0403b6f65bca2231
SHA256: dd8c6f6c9507649dbc5c50f71e1831e661607e2e3fa33869297a6f9ee67f5755
SHA512: 3200d60b0ac06a8f9df3f25246a813eb3c06bae7d5264b8f40b258bf504c74c77e766db18848205ad38e92bd045125ba4af59b6aec3f37b848dcd356f95123d4
Homepage: https://cran.r-project.org/package=WeightedEnsemble
Description: CRAN Package 'WeightedEnsemble' (Weighted Ensemble for Hybrid Model)
 The weighted ensemble method is a valuable approach for combining forecasts.
 This algorithm employs several optimization techniques to generate optimized
 weights. This package has been developed using algorithm of Armstrong (1989)
 <doi:10.1016/0024-6301(90)90317-W>.

Package: r-cran-weightedgcm
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-generalisedcovariancemeasure, r-cran-mgcv, r-cran-xgboost
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-weightedgcm_0.1.0-1.ca2004.1_all.deb
Size: 43056
MD5sum: 9f0130454ecec7ab2c1d096a173a021b
SHA1: 8a6a3be0428be3aae672456ac31d63b3b359b7c1
SHA256: a7311575b623440204ed6fafac6978d141490c37e9729bd941182b5fdadb3a07
SHA512: 76256734e14fd8fecc4b5983ff5e4ebea316511641977018b9d606bf86328f32dd166d7601393a68d29aab2098c1248be03bac0bf7494761901258504806d29d
Homepage: https://cran.r-project.org/package=weightedGCM
Description: CRAN Package 'weightedGCM' (Weighted Generalised Covariance Measure Conditional IndependenceTest)
 A conditional independence test that can be applied both to univariate and
 multivariate random variables. The test is based on a weighted form of the
 sample covariance of the residuals after a nonlinear regression on the
 conditioning variables. Details are described in Scheidegger, Hoerrmann and
 Buehlmann (2021) "The Weighted Generalised Covariance Measure"
 <arXiv:2111.04361>. The test is a generalisation of the Generalised
 Covariance Measure (GCM) implemented in the R package
 'GeneralisedCovarianceMeasure' by Jonas Peters and Rajen D. Shah based on
 Shah and Peters (2020) "The Hardness of Conditional Independence Testing and
 the Generalised Covariance Measure" <arXiv:1804.07203>.

Package: r-cran-weightedporttest
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-weightedporttest_1.1-1.ca2004.1_all.deb
Size: 27436
MD5sum: d4c70371a79879960355c00a5e5230ab
SHA1: 300a359fcbfa3d590a684b3a92c666b4ef684bf4
SHA256: ee8d52b0ab8ce3870b94b85969e77eac865a503d14c22cc222e5d425f75148df
SHA512: 092881aae2d5a81dfb411336ee0a7bd135c70967f1c58cb88389aea42c88c1e05313a22404c1e5fa99531a1d927c577c1f0c8dc81530b71fb73cb9ae7596f05f
Homepage: https://cran.r-project.org/package=WeightedPortTest
Description: CRAN Package 'WeightedPortTest' (Weighted Portmanteau Tests for Time Series Goodness-of-Fit)
 An implementation of the Weighted Portmanteau Tests described in "New
 Weighted Portmanteau Statistics for Time Series Goodness-of-Fit Testing"
 published by the Journal of the American Statistical Association, Volume
 107, Issue 498, pages 777-787, 2012.

Package: r-cran-weightedrank
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mvtnorm, r-cran-sensitivitymv, r-cran-senstrat
Suggests: r-cran-sensitivitymw, r-cran-sensitivitymult, r-cran-dos2
Filename: pool/dists/focal/main/r-cran-weightedrank_0.3.7-1.ca2004.1_all.deb
Size: 179532
MD5sum: fc8f3c968e61658904382bf9b671eb07
SHA1: 6ef097fe518c6d58fbb727b7567af17099a840ac
SHA256: a683ec3999f4dc9c5c622b9b5ae503f0fcaa3ba7a8c5dd0811e4fdea876f1c4c
SHA512: 2177cefd0c91b810c0fba57784c56f570e9bc2b98674d3cfa6717a7ba08c1d3464934f9938298fcb28e53a8fa23dc2e906442ea2e218028efe1a085ded6fd51c
Homepage: https://cran.r-project.org/package=weightedRank
Description: CRAN Package 'weightedRank' (Sensitivity Analysis Using Weighted Rank Statistics)
 Performs a sensitivity analysis using weighted rank tests in observational
 studies with I blocks of size J; see Rosenbaum (2024)
 <doi:10.1080/01621459.2023.2221402>.  The package can perform adaptive
 inference in block designs; see Rosenbaum (2012)
 <doi:10.1093/biomet/ass032>.  The main functions are wgtRank(), wgtRankCI()
 and wgtRanktt().

Package: r-cran-weightedroc
Architecture: all
Version: 2020.1.31-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rocr, r-cran-proc, r-cran-prroc, r-cran-microbenchmark, r-cran-glmnet, r-cran-testthat, r-cran-ggplot2, r-cran-gsympoint, r-cran-geometry
Filename: pool/dists/focal/main/r-cran-weightedroc_2020.1.31-1.ca2004.1_all.deb
Size: 172208
MD5sum: 11971abbb375e94658fe6ae683c4126c
SHA1: b34efe27387587b26c31249c7d882a279b89f3df
SHA256: db86036d1841812d406557142cad1a760d3d15179d1264657b62786bd76149d6
SHA512: 38cab83d5504cd5f293ec22ded3259101c6419d20a8c2f0ad22dcd793aa8f79ca58a8d61ee87d6862e379ab7e98bf142afc7619b4bd61e337b1aa2ca0c875728
Homepage: https://cran.r-project.org/package=WeightedROC
Description: CRAN Package 'WeightedROC' (Fast, Weighted ROC Curves)
 Fast computation of Receiver Operating Characteristic (ROC) curves and Area
 Under the Curve (AUC) for weighted binary classification problems (weights
 are example-specific cost values).

Package: r-cran-weightedzdiff
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 137
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-weightedzdiff_0.1.0-1.ca2004.1_all.deb
Size: 104960
MD5sum: f0264be1f28fa9b34b886dfb05bb4ea6
SHA1: e44c13656161ee443a4cfc623d62a378838a1fe1
SHA256: 54b0909f396ecc947ba3f497b86a53d3d5acacaf2917653e848924d796e5e2f7
SHA512: 24f1be850e22d62fe0a20ae9ad2d0093ffe8a3d7863629e5dae62aa84835524447078cec848fe9797e1d9b97d32d09eebea784a8c270ea81e0f2db6205f5ffb5
Homepage: https://cran.r-project.org/package=weightedZdiff
Description: CRAN Package 'weightedZdiff' (Calculation of z-Differences)
 Calculates z-differences (O.Kuss (2013)
 <doi:10.1016/j.jclinepi.2013.06.001>) for each variable scale (continuous,
 binary, ordinal and nominal) with or without weights (e.g. generated by
 propensity score methods).

Package: r-cran-weightit
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1825
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cobalt, r-cran-ggplot2, r-cran-chk, r-cran-rlang, r-cran-crayon, r-cran-sandwich, r-cran-generics
Suggests: r-cran-rootsolve, r-cran-cbps, r-cran-optweight, r-cran-superlearner, r-cran-mclogit, r-cran-mnp, r-cran-brglm2, r-cran-enrichwith, r-cran-logistf, r-cran-osqp, r-cran-survival, r-cran-fwb, r-cran-marginaleffects, r-cran-mass, r-cran-gbm, r-cran-dbarts, r-cran-misaem, r-cran-mlogit, r-cran-dfidx, r-cran-broom, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-waldo
Filename: pool/dists/focal/main/r-cran-weightit_1.4.0-1.ca2004.1_all.deb
Size: 1421060
MD5sum: 603e034037ce11979d956e90777957b2
SHA1: dc2445602d8940c30264530b43ae317b40a83d69
SHA256: 5564fd0f95412575b3e6cd5d1b68a462e1005803fd5a00141c78516815cba1fa
SHA512: 9f627d5cd2468ee4b0675602dda08d976bf0e97e6cf84e28058db6a5be51453d7c54f6580e77999dcf971dc879b6de0e14f8c0c0dbf1d1033dd4c23edf8e5f79
Homepage: https://cran.r-project.org/package=WeightIt
Description: CRAN Package 'WeightIt' (Weighting for Covariate Balance in Observational Studies)
 Generates balancing weights for causal effect estimation in observational
 studies with binary, multi-category, or continuous point or longitudinal
 treatments by easing and extending the functionality of several R packages
 and providing in-house estimation methods.  Available methods include those
 that rely on parametric modeling, optimization, and machine learning. Also
 allows for assessment of weights and checking of covariate balance by
 interfacing directly with the 'cobalt' package. Methods for estimating
 weighted regression models that take into account uncertainty in the
 estimation of the weights via M-estimation or bootstrapping are available.
 See the vignette "Installing Supporting Packages" for instructions on how to
 install any package 'WeightIt' uses, including those that may not be on
 CRAN.

Package: r-cran-weightquant
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 139
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-quantreg, r-cran-foreach, r-cran-doparallel, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-weightquant_1.0.1-1.ca2004.1_all.deb
Size: 107164
MD5sum: f18f4bc6d0de81284041ae7d1e86e389
SHA1: 44798eda95cb5c3b9f75f5af86ed22d11ca8dd4a
SHA256: 1d07361b87dfcd088bc6075ad9e20df1f12cebb68924fbe2300c2408fef6c3d1
SHA512: d4097318120cd9cb69a598e651ce3822ecec4fb393f08f92e9fd1b189d4f8dca3ecab81529193e5bff16bd09601dfd81fa2d83de95503d95ef77dce1af24881d
Homepage: https://cran.r-project.org/package=weightQuant
Description: CRAN Package 'weightQuant' (Weights for Incomplete Longitudinal Data and Quantile Regression)
 Estimation of observation-specific weights for incomplete longitudinal data
 and bootstrap procedure for weighted quantile regressions. See
 Jacqmin-Gadda, Rouanet, Mba, Philipps, Dartigues (2020) for details
 <doi:10.1177/0962280220909986>.

Package: r-cran-weightr
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 389
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-shiny
Filename: pool/dists/focal/main/r-cran-weightr_2.0.2-1.ca2004.1_all.deb
Size: 182368
MD5sum: f6643184f009e9de97e64409cc9102c7
SHA1: f21f67dc4d3dcd7fed55f37e2bc8199794a125be
SHA256: 2f98e49e2e8819a9856b1e47c1aa56b010a100d3aafdab4543e3835d141159e4
SHA512: 6768b8ab972a683a0d9ba7784173b1f87aff36ffea3745f6ce50ae22c07887710d1e6a78bfee3776ff09fbb4de610532920f570808ec0601ca9b63af8b7ab034
Homepage: https://cran.r-project.org/package=weightr
Description: CRAN Package 'weightr' (Estimating Weight-Function Models for Publication Bias)
 Estimates the Vevea and Hedges (1995) weight-function model. By specifying
 arguments, users can also estimate the modified model described in Vevea and
 Woods (2005), which may be more practical with small datasets. Users can
 also specify moderators to estimate a linear model.  The package
 functionality allows users to easily extract the results of these analyses
 as R objects for other uses. In addition, the package includes a function to
 launch both models as a Shiny application. Although the Shiny application is
 also available online, this function allows users to launch it locally if
 they choose.

Package: r-cran-weird
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 703
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-aplpack, r-cran-broom, r-cran-cli, r-cran-crayon, r-cran-dbscan, r-cran-dplyr, r-cran-evd, r-cran-ggplot2, r-cran-interpolation, r-cran-ks, r-cran-purrr, r-cran-rlang, r-cran-robustbase, r-cran-rstudioapi, r-cran-stray, r-cran-tibble
Suggests: r-cran-mgcv, r-cran-outliers, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-weird_1.0.2-1.ca2004.1_all.deb
Size: 631028
MD5sum: d8bd6b9bbb11c83cdc97d242801d0b7e
SHA1: 6dbb1cd702cc6a9bf4d8a45cb945b04f680e88c7
SHA256: 75ee99189d7d5cd7dbd0ed0c31caa79e25b277cfc8af40870621d68aa1172468
SHA512: 80c993aa6ab01e46d28fc3e13ca3b3594a62ea01252cb1cc667ac8470f2ac35af812ac4efa8753cba0df22f24bf869c483cd0da75275089644962d0d4ea4abac
Homepage: https://cran.r-project.org/package=weird
Description: CRAN Package 'weird' (Functions and Data Sets for "That's Weird: Anomaly DetectionUsing R" by Rob J Hyndman)
 All functions and data sets required for the examples in the book Hyndman
 (2024) "That's Weird: Anomaly Detection Using R"
 <https://OTexts.com/weird/>.  All packages needed to run the examples are
 also loaded.

Package: r-cran-weirs
Architecture: all
Version: 0.25-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 278
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-weirs_0.25-1.ca2004.1_all.deb
Size: 164476
MD5sum: 736e51b4ecc822f0d3d6c3ea8c92f692
SHA1: 14d94e827bef399779a45475cde9ee57f373e315
SHA256: 75455cef128be816946eeb01b9a848bf387dff09fd6881d86f920cfcae05368a
SHA512: 147b42ce7b3fc0c11250bc144eddf5f8664222057af4f23c490a0affee94402802dbeea554eedcd52d64c6f42f7b89d05b4e5cc257abe3b5f80db73f17758b1d
Homepage: https://cran.r-project.org/package=weirs
Description: CRAN Package 'weirs' (A Hydraulics Package to Compute Open-Channel Flow over Weirs)
 Provides computational support for flow over weirs, such as sharp-crested,
 broad-crested, and embankments. Initially, the package supports broad- and
 sharp-crested weirs.

Package: r-cran-welchadf
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 429
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lme4
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-welchadf_0.3.2-1.ca2004.1_all.deb
Size: 370844
MD5sum: 4f8872d619d3a38f4a3b7aea33577e6b
SHA1: 389e8f310cdf13523c1966023ea3acbc39a0b94e
SHA256: 0a2b02ee9cc17cdaa6fb72ddd5020526d561ca6c1216269a50b466cec9ba2202
SHA512: b5ccba3a8894d4d120638a5a3f1f06b63631f7ea826d2717e8d24eb3682c95dfb45aefdebe44426834a9c55333b2ca26c99d0c99b3136c04e322c2e28eb1bb6a
Homepage: https://cran.r-project.org/package=welchADF
Description: CRAN Package 'welchADF' (Welch-James Statistic for Robust Hypothesis Testing underHeterocedasticity and Non-Normality)
 Implementation of Johansen's general formulation of Welch-James's statistic
 with Approximate Degrees of Freedom, which makes it suitable for testing any
 linear hypothesis concerning cell means in univariate and multivariate mixed
 model designs when the data pose non-normality and non-homogeneous variance.
 Some improvements, namely trimmed means and Winsorized variances, and
 bootstrapping for calculating an empirical critical value, have been added
 to the classical formulation.  The code departs from a previous SAS
 implementation by L.M. Lix and H.J. Keselman, available at
 <http://supp.apa.org/psycarticles/supplemental/met_13_2_110/SAS_Program.pdf>
 and published in Keselman, H.J., Wilcox, R.R., and Lix, L.M. (2003)
 <DOI:10.1111/1469-8986.00060>.

Package: r-cran-welo
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xts, r-cran-rdpack, r-cran-boot, r-cran-rio, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-welo_0.1.4-1.ca2004.1_all.deb
Size: 264208
MD5sum: 75274a3026f4578ca04aa59f0e85cb7a
SHA1: 72efc66c25793ae6305a918edcdbcbde56f25bf6
SHA256: 9545347ace401069367607b87c60d81bb0ef9372c67f0a3b05c3d6ca59c767af
SHA512: ca47da196e45f0809028e5efefbd3c219e8235967c88bb95c76cb8e0b0c5329b892c321c3f497e0eaec7c675334fee502da19befa7b00aa01bb1e2fa96d370b6
Homepage: https://cran.r-project.org/package=welo
Description: CRAN Package 'welo' (Weighted and Standard Elo Rates)
 Estimates the standard and weighted Elo (WElo, Angelini et al., 2022
 <doi:10.1016/j.ejor.2021.04.011>) rates. The current version provides Elo
 and WElo rates for tennis, according to different systems of weights (games
 or sets) and scale factors (constant, proportional to the number of matches,
 with more weight on Grand Slam matches or matches played on a specific
 surface). Moreover, the package gives the possibility of estimating the
 (bootstrap) standard errors for the rates. Finally, the package includes
 betting functions that automatically select the matches on which place a
 bet.

Package: r-cran-wemix
Architecture: all
Version: 4.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 747
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lme4, r-cran-numderiv, r-cran-matrix, r-cran-minqa, r-cran-matrixstats
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-withr, r-cran-tidyr, r-cran-edsurvey, r-cran-glmmtmb
Filename: pool/dists/focal/main/r-cran-wemix_4.0.3-1.ca2004.1_all.deb
Size: 597056
MD5sum: ee58e7fb5f0a3d9415e456d04ca8d1d0
SHA1: 2b2bc5a8c11cf6137d313a7a7cf06776b89a5d20
SHA256: c2a69b9381015e4d0e00473ecc5f3acf77ec245807385d729cd11e3ab3c2c9bd
SHA512: 4a7af9236768c904cf8522e4c6748991509622b6c4741574d692faeda48bc5ed16d0428923be2117ac6fe0dd5e3915f57ac57c2ea7d1be1e41f35d880dce9e94
Homepage: https://cran.r-project.org/package=WeMix
Description: CRAN Package 'WeMix' (Weighted Mixed-Effects Models Using Multilevel Pseudo MaximumLikelihood Estimation)
 Run mixed-effects models that include weights at every level. The WeMix
 package fits a weighted mixed model, also known as a multilevel, mixed, or
 hierarchical linear model (HLM). The weights could be inverse selection
 probabilities, such as those developed for an education survey where schools
 are sampled probabilistically, and then students inside of those schools are
 sampled probabilistically. Although mixed-effects models are already
 available in R, WeMix is unique in implementing methods for mixed models
 using weights at multiple levels. Both linear and logit models are
 supported. Models may have up to three levels. Random effects are estimated
 using the PIRLS algorithm from 'lme4pureR' (Walker and Bates (2013)
 <https://github.com/lme4/lme4pureR>).

Package: r-cran-wes
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-glue, r-cran-foreach, r-cran-data.table, r-cran-dplyr, r-cran-hdinterval, r-cran-zoo, r-cran-openmeteo, r-cran-chirps, r-cran-whitebox, r-cran-exactextractr, r-cran-elevatr, r-cran-raster, r-cran-sp, r-cran-sf, r-cran-rworldmap, r-cran-stars, r-cran-rcurl, r-cran-xml, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-rmarkdown, r-cran-rworldxtra, r-cran-progress
Filename: pool/dists/focal/main/r-cran-wes_1.0.0-1.ca2004.1_all.deb
Size: 152500
MD5sum: 6485a68bfff9e307f6dc87e73a9f034e
SHA1: cdca739091bcf82051cd0627f3ec6ee48d3fcda7
SHA256: a72091001653c0bee3e402db9f5c1d4c0849c369617fb18cf2470fcf1a4059d5
SHA512: 52381d8e9f35ca08d92ebe99ec33cbdbd99c21f781d9e259ddb4084143c37c9efe0a9acd3847ffdbf32481f6cab2cab41f9e195fd4bf9df8060a68acd9a98f49
Homepage: https://cran.r-project.org/package=WES
Description: CRAN Package 'WES' (Tools for Analyzing Wastewater and Environmental Sampling Data)
 Provides reproducible functions for collating and analyzing data from
 environmental sampling studies. Environmental Sampling (ES) of infectious
 diseases involves collecting samples from various sources (such as sewage,
 water, air, soil, or surfaces) to monitor the presence of pathogens in the
 environment. Analysis of ES data often requires the calculation of Real-Time
 Quantitative PCR (qPCR) variables, normalizing ES observations, and
 analyzing sampling site characteristics. To help reduce the complexity of
 these analyses we have implemented tools that assist with establishing
 standardized ES data formats, absolute and relative quantification of qPCR
 data, estimation of qPCR amplification efficiency, and collating open-source
 spatial data for sampling sites.

Package: r-cran-wesanderson
Architecture: all
Version: 0.3.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 56
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-wesanderson_0.3.7-1.ca2004.1_all.deb
Size: 19388
MD5sum: 37cd1c99a431ee3ca1c6ea7a47c80ac9
SHA1: 80fa8622e2ca73bb80f5b285d6cef38216de21b8
SHA256: 1f01ee799a1c1b6e0c6ff74fc94119b3e38e6e2fc0bfaa3e2996147750c8dcb3
SHA512: 5fa22ef7c47982d05244501e339a840909257a242acae15790fd1426c6cb5fd32b0155709e21db613aab47407565c158ed7aae5bee57e72e44d86223c648a1e7
Homepage: https://cran.r-project.org/package=wesanderson
Description: CRAN Package 'wesanderson' (A Wes Anderson Palette Generator)
 Palettes generated mostly from 'Wes Anderson' movies.

Package: r-cran-wevid
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-mclust, r-cran-proc, r-cran-reshape2, r-cran-zoo
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wevid_0.6.2-1.ca2004.1_all.deb
Size: 74828
MD5sum: 170f2616a5d0945d89bcc0924c3beba3
SHA1: daad387584f3ec071e8bdd8108d60c0e684194c7
SHA256: a3bdee9c750ff95be1ce513d2d1b74b24f1ae7622d89c0ded5f497e6036f08bf
SHA512: 4212670e3e9f5f37c70cde22b27394e05541b3eeb834bb991387138aab3f5eb6365b548fa6799971cad80e45c6a9cbedd38e65f74a391108b8b1186b07fed78a
Homepage: https://cran.r-project.org/package=wevid
Description: CRAN Package 'wevid' (Quantifying Performance of a Binary Classifier Through Weight ofEvidence)
 The distributions of the weight of evidence (log Bayes factor) favouring
 case over noncase status in a test dataset (or test folds generated by
 cross-validation) can be used to quantify the performance of a diagnostic
 test (McKeigue (2019), <doi:10.1177/0962280218776989>). The package can be
 used with any test dataset on which you have observed case-control status
 and have computed prior and posterior probabilities of case status using a
 model learned on a training dataset. To quantify how the predictor will
 behave as a risk stratifier, the quantiles of the distributions of weight of
 evidence in cases and controls can be calculated and plotted.

Package: r-cran-wex
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 110
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fkf
Filename: pool/dists/focal/main/r-cran-wex_0.1.0-1.ca2004.1_all.deb
Size: 55700
MD5sum: 5f78378428a33ea92d8eb9613d956788
SHA1: 09c6c6cd473298c1ae2f4bff24f192ae5f3629e3
SHA256: daefb4353dac6a3a008c7a8df5e9f6335ae2d108937e0e0e84ca389a5d00abd8
SHA512: 2298d5a075048b6e621a6bbc4f09166ee9de62d693016e7de5713928b3408df3b6fd5877e109192eb67715a8af62eae162db750ef7c0bd2b0be33c244d3b0a8c
Homepage: https://cran.r-project.org/package=wex
Description: CRAN Package 'wex' (Compute the Exact Observation Weights for the Kalman Filter andSmoother)
 Computes the exact observation weights for the Kalman filter and smoother,
 based on the method described in Koopman and Harvey (2003)
 <www.sciencedirect.com/science/article/pii/S0165188902000611>.  The package
 supports in-depth exploration of state-space models, enabling researchers
 and practitioners to extract meaningful insights from time series data.
 This functionality is especially valuable in dynamic factor models, where
 the computed weights can be used to decompose the contributions of
 individual variables to the latent factors.  See the README file for
 examples.

Package: r-cran-weyl
Architecture: all
Version: 0.0-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1943
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-disordr, r-cran-freealg, r-cran-spray
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-weyl_0.0-7-1.ca2004.1_all.deb
Size: 582080
MD5sum: 7ca10e5efa6437f23ab93983f75bd82e
SHA1: 9afe0459fc68cf6e8a9f517a9e0fbd60a025a12d
SHA256: 8bbb355a33a2685e3bc59e3ed13e90bb0e1b48cb4ed13d2c88b6961f144f2885
SHA512: 8e78ce0cb2ab26d19eebd9d5936f48503c8d9ed6c1c7f707d4ac30326078be2196ebf3d669c9f32f1a552e9afc94cf8edd12b4c7bb510669aa29d38fdaa8965d
Homepage: https://cran.r-project.org/package=weyl
Description: CRAN Package 'weyl' (The Weyl Algebra)
 A suite of routines for Weyl algebras.  Notation follows Coutinho (1995,
 ISBN 0-521-55119-6, "A Primer of Algebraic D-Modules").  Uses 'disordR'
 discipline (Hankin 2022 <doi:10.48550/arXiv.2210.03856>).  To cite the
 package in publications, use Hankin 2022 <doi:10.48550/arXiv.2212.09230>.

Package: r-cran-wfg
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-wfg_0.1-1.ca2004.1_all.deb
Size: 27356
MD5sum: f7953ed2bf51672c27615b5b36d76045
SHA1: 76c18a8532672211d99e79c0ef5afe5c57311f25
SHA256: 8b2d9312a88b40f96a675461d41f0d83eabac73275d9255118fc0cd9733ec161
SHA512: d0ec4bdc7cb1acf689dac29cbf27fc44447eb0568898590af9d253b616bc8bba606799aa4a66c82568d426a717202f410fe88779bd10a356cedbede9f6080848
Homepage: https://cran.r-project.org/package=wfg
Description: CRAN Package 'wfg' (Weighted Fast Greedy Algorithm)
 Implementation of Weighted Fast Greedy algorithm for community detection in
 networks with mixed types of attributes.

Package: r-cran-wfindr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 986
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr
Filename: pool/dists/focal/main/r-cran-wfindr_0.1.0-1.ca2004.1_all.deb
Size: 976204
MD5sum: a1f09642216070c58e9b3d324124c09f
SHA1: b2a2e79ef0a717d81fcb12fefd48b30bf338c598
SHA256: 60d17d0601d83408c102648335d2994057906e2899e9533c821b2fddc50ec896
SHA512: 11d6b2ca6a2e1bf40804015de3751f0c39413e77a60c1025641581245245ab3026c7d8eb5b40cd2f704fd137f03cfc74ec263108d7ab8cd7f1dd049a35bec55a
Homepage: https://cran.r-project.org/package=wfindr
Description: CRAN Package 'wfindr' (Crossword, Scrabble and Anagram Solver)
 Provides a large English words list and tools to find words by patterns. In
 particular, anagram finder and scrabble word finder.

Package: r-cran-wflo
Architecture: all
Version: 1.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 890
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-plotrix, r-cran-progress, r-cran-emstreer, r-cran-terra, r-cran-sf
Suggests: r-cran-mass, r-cran-nloptr, r-cran-pso, r-cran-rgenoud, r-cran-snow, r-cran-dosnow, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-wflo_1.9-1.ca2004.1_all.deb
Size: 774152
MD5sum: b1eae26b6b741578fd0219b2925cdee3
SHA1: 1126c48f4a46aab069771423733773148575f286
SHA256: c92870e599b192344ef2d4e5a5dcbfba5e2a6f5200134aeca0e6119a4aa67fc0
SHA512: c59096fa7613889ae346f720bdf85a5154384d1d9a5c766af78eb4d8ac1bd49b31b4c305278ac6538c2c3de065d89af22ab205069becc50f201cf3d30209d8d0
Homepage: https://cran.r-project.org/package=wflo
Description: CRAN Package 'wflo' (Data Set and Helper Functions for Wind Farm Layout OptimizationProblems)
 Provides a convenient data set, a set of helper functions, and a benchmark
 function for economically (profit) driven wind farm layout optimization.
 This enables researchers in the field of the NP-hard (non-deterministic
 polynomial-time hard) problem of wind farm layout optimization to focus on
 their optimization methodology contribution and also provides a realistic
 benchmark setting for comparability among contributions. See Croonenbroeck,
 Carsten & Hennecke, David (2020) <doi:10.1016/j.energy.2020.119244>.

Package: r-cran-wgaim
Architecture: all
Version: 2.0-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1608
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-qtl, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-prettydoc
Filename: pool/dists/focal/main/r-cran-wgaim_2.0-6-1.ca2004.1_all.deb
Size: 616704
MD5sum: beaf16fcdbdb423e6d7a7d294739feaf
SHA1: ddcb7452f97fe41a0b0c049e899f588932225383
SHA256: ebafeafa6c5b568c5a0b9d773b8cc53baaf1ff773c00f0926261ec6def32840c
SHA512: 78e0f25b9d6428cf809cbbce988a2be229910fdcdc88103f011747c89c95183399f154434eb822817ef3e9901ed56aaef68abd6948f9860a5d87b581d4330c86
Homepage: https://cran.r-project.org/package=wgaim
Description: CRAN Package 'wgaim' (Whole Genome Average Interval Mapping for QTL Detection andEstimation using ASReml-R)
 A computationally efficient whole genome approach to detecting and
 estimating significant QTL in linkage maps using the flexible linear mixed
 modelling functionality of ASReml-R.

Package: r-cran-wgeesel
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass, r-cran-geepack, r-cran-bindata, r-cran-poisnor, r-cran-crtgeedr
Filename: pool/dists/focal/main/r-cran-wgeesel_1.5-1.ca2004.1_all.deb
Size: 159476
MD5sum: 6185c76531168195f917494563315e9e
SHA1: a21d4ba342d0dca090cb5569478cb7d055df2292
SHA256: e0f96b31a902452d3e13fc55209fcd18a7a680ea12eab9f397bcd2cf1d04f542
SHA512: 6f3451ba217af4b8152b43e5727ebbb013f39fa59d873ab4227112f90b91a7e1c19a33b571a12aa5e4ee8fd10fe4b9a39438a197928e94f904fdf43abbc319e5
Homepage: https://cran.r-project.org/package=wgeesel
Description: CRAN Package 'wgeesel' (Weighted Generalized Estimating Equations and Model Selection)
 Weighted generalized estimating equations (WGEE) is an extension of
 generalized linear models to longitudinal clustered data by incorporating
 the correlation within-cluster when data is missing at random (MAR). The
 parameters in mean, scale correlation structures are estimated based on
 quasi-likelihood. Multiple model selection criterion are provided for
 selection of mean model and working correlation structure based on WGEE/GEE.

Package: r-cran-wget
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-wget_0.0.3-1.ca2004.1_all.deb
Size: 13508
MD5sum: 8dd9911419e40602d0431a3ea194f1ba
SHA1: aabeda29ce538d34e06e1afef196738c1f9565ba
SHA256: ad627abac89be01d2eebf5df04658858b39bb66f7bfc26dc7046371149b6d5fc
SHA512: adf2c814b1b119172d93fb64458973d3fa4cc462fd74c361226f2471e802063847eeb79477bfa01f07c1045e51f30d8b41fefb918cf77f42be1c4b9d73bde4c1
Homepage: https://cran.r-project.org/package=wget
Description: CRAN Package 'wget' (Setting Download Method to 'wget')
 Provides function, wget_set(), to change the method (default to 'wget -c')
 using in download.file().  Using 'wget -c' allowing continued downloading,
 which is especially useful for slow internet connection and for downloading
 large files.  User can run wget_unset() to restore previous setting.

Package: r-cran-wgscan
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-skat, r-cran-matrix, r-cran-mass, r-cran-seqminer, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-wgscan_0.1-1.ca2004.1_all.deb
Size: 111568
MD5sum: 309f806af8b225e738bf64d2be7fc2d8
SHA1: ab43e366a942d207a82d8ab32d9b98f7ebecf54d
SHA256: b36497a922068d5a5fe578033179ffb3c83df1e2cb321aab205c3e197701abbb
SHA512: 540ccbbc452f10b7cc9f62cc7847423348e052f0babfeafdfb7ebcf2e50834506b253393b844f9d116b987b88e951f754ccd1c8978d1f68ff7ec6a6e6ca7b153
Homepage: https://cran.r-project.org/package=WGScan
Description: CRAN Package 'WGScan' (A Genome-Wide Scan Statistic Framework for Whole-Genome SequenceData Analysis)
 Functions for the analysis of whole-genome sequencing studies to
 simultaneously detect the existence, and estimate the locations of
 association signals at genome-wide scale. The functions allow genome-wide
 association scan, candidate region scan and single window test.

Package: r-cran-wgteff
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wgteff_0.1.2-1.ca2004.1_all.deb
Size: 28044
MD5sum: 82188ec5a28418c7f1ebe3f82d404eb8
SHA1: c7a83df8f83a3c6dd7d9ab4ef139a3d02bbc69a3
SHA256: 256bd87a3f232cc32039606549db7c9cdee48b2eba066a6874de708d093940b6
SHA512: 95fa5664f8cf9bd1abd959b8a326461d84eeaace67130d5b8d3e483521fb93a7151a5723b5755ac2f85d4df49e0a9a2ad88aa741282cc441b8422d430f0f437f
Homepage: https://cran.r-project.org/package=WgtEff
Description: CRAN Package 'WgtEff' (Functions for Weighting Effects)
 Functions for determining the effect of data weights on the variance of
 survey data: users will load a data set which has a weights column, and the
 package will calculate the design effect (DEFF), weighting loss, root design
 effect (DEFT), effective sample size (ESS), and/or weighted margin of error.

Package: r-cran-wh
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 426
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wh_1.1.2-1.ca2004.1_all.deb
Size: 277092
MD5sum: 1732fc4e2b2c8b632e4e10814defcacb
SHA1: 93cb71bde441bf1605d9a9a8913b0c2eaf0971cf
SHA256: cf505d7b609cae97d2df8ba23584e9a1a1324982073631f5992c013533043e03
SHA512: fa83b1687be9c8a7c7b8d2e497f32682c6a88e777cb8ce241fb59ac6958920d930338b5d9b1d20a37de13445cbc8bb54bc14f71d7d726e7814de17fd4b2ac007
Homepage: https://cran.r-project.org/package=WH
Description: CRAN Package 'WH' (Enhanced Implementation of Whittaker-Henderson Smoothing)
 An enhanced implementation of Whittaker-Henderson smoothing for the
 gradation of one-dimensional and two-dimensional actuarial tables used to
 quantify Life Insurance risks.  'WH' is based on the methods described in
 Biessy (2023) <doi:10.48550/arXiv.2306.06932>.  Among other features, it
 generalizes the original smoothing algorithm to maximum likelihood
 estimation, automatically selects the smoothing parameter(s) and
 extrapolates beyond the range of data.

Package: r-cran-whatif
Architecture: all
Version: 1.5-10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lpsolve, r-cran-pbmcapply
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whatif_1.5-10-1.ca2004.1_all.deb
Size: 79716
MD5sum: 7861a2aaeea7aea4b57d3d1073fa9dec
SHA1: c4bd81f9dfab9924dbba797c6fcc8a931e78aa65
SHA256: 63323b2326acd40e38c1c91485b75c0f2e84c50d164c347cdd62f67cd4c7a375
SHA512: 4a18f34457bb534db37f4251d1bc2966ea8a6fb2e1ebe8bf353ce26f56c3c75de81ce4b284592f7897afc38e04fecb44cf09d56af1996c0a099854e31f6d6b7f
Homepage: https://cran.r-project.org/package=WhatIf
Description: CRAN Package 'WhatIf' (Software for Evaluating Counterfactuals)
 Inferences about counterfactuals are essential for prediction, answering
 what if questions, and estimating causal effects.  However, when the
 counterfactuals posed are too far from the data at hand, conclusions drawn
 from well-specified statistical analyses become based largely on speculation
 hidden in convenient modeling assumptions that few would be willing to
 defend. Unfortunately, standard statistical approaches assume the veracity
 of the model rather than revealing the degree of model-dependence, which
 makes this problem hard to detect. WhatIf offers easy-to-apply methods to
 evaluate counterfactuals that do not require sensitivity testing over
 specified classes of models. If an analysis fails the tests offered here,
 then we know that substantive inferences will be sensitive to at least some
 modeling choices that are not based on empirical evidence, no matter what
 method of inference one chooses to use. WhatIf implements the methods for
 evaluating counterfactuals discussed in Gary King and Langche Zeng, 2006,
 "The Dangers of Extreme Counterfactuals," Political Analysis 14 (2)
 <DOI:10.1093/pan/mpj004>; and Gary King and Langche Zeng, 2007, "When Can
 History Be Our Guide? The Pitfalls of Counterfactual Inference,"
 International Studies Quarterly 51 (March)
 <DOI:10.1111/j.1468-2478.2007.00445.x>.

Package: r-cran-whatsr
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2690
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-stringi, r-cran-qdapregex, r-cran-readr, r-cran-tokenizers, r-cran-data.table, r-cran-ggplot2, r-cran-anytime, r-cran-mgsub, r-cran-qdap, r-cran-ggwordcloud, r-cran-dplyr, r-cran-ragg, r-cran-checkmate, r-cran-visnetwork, r-cran-lubridate, r-cran-ggmap
Suggests: r-cran-extrafont, r-cran-tm, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whatsr_1.0.4-1.ca2004.1_all.deb
Size: 2126556
MD5sum: c483adead8c2f63b13f91adc0d5952c7
SHA1: 0fddd9f060d7f9638cde8e45a7044b9fc4543ab4
SHA256: f718033231c048bf822aded7fb4c9d5979a10255eb7c436bfed9a93f54b73f2e
SHA512: 9e712b8b20a847973c8a4a4b22cc1264f03031909482d00f0df8bd9fce04d428fe3717793e4a4e2bdce040baf683b652d21430354c1f2f5c3e5eb888ed0b74c2
Homepage: https://cran.r-project.org/package=WhatsR
Description: CRAN Package 'WhatsR' (Parsing, Anonymizing and Visualizing Exported 'WhatsApp' ChatLogs)
 Imports 'WhatsApp' chat logs and parses them into a usable dataframe object.
 The parser works on chats exported from Android or iOS phones and on Linux,
 macOS and Windows. The parser has multiple options for extracting smileys
 and emojis from the messages, extracting URLs and domains from the messages,
 extracting names and types of sent media files from the messages, extracting
 timestamps from messages, extracting and anonymizing author names from
 messages. Can be used to create anonymized versions of data.

Package: r-cran-whatthreewords
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 82
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr2, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whatthreewords_0.1.3-1.ca2004.1_all.deb
Size: 25932
MD5sum: 57c91af0e7ed44f8be7fb7b1505414ca
SHA1: 6748c517167d6ac6aae35c654e4b366e9958a81a
SHA256: c94337e13235bc3bc27763185add748b006df78c4d9d30afcb9220adaa0e56f8
SHA512: 4bb9104ef80ef750fb0a3c88c1d0efe64cf9777a512cbf92574e6c9a3f22319303584184ad1d6f02bf09e413876688f271f31897e66b41cb5d756b1283f0188c
Homepage: https://cran.r-project.org/package=whatthreewords
Description: CRAN Package 'whatthreewords' (Work with the 'what3words' API for Easy Location Referencing)
 Use the 'what3words' API <https://developer.what3words.com/public-api> to
 return three words which uniquely identify every 3m x 3m square on Earth. It
 is also possible to return coordinates from any valid three words location.
 Supports multiple languages.

Package: r-cran-wheatmap
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2680
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colorspace, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wheatmap_0.2.0-1.ca2004.1_all.deb
Size: 960892
MD5sum: 8776cd524a6d7cca7618226fc4900a09
SHA1: 87f4ae5cad9155b6d2aedf9f4b349453b5143e4b
SHA256: d37b1ee1c51d7ec3228fd0e56f1a14709e8892de2f986dc1d7334182b098c818
SHA512: cbfdfcbb8e69c45fedf34a81ffe0176722b3c29b397828305f8bdae783cac320ab89182b8f02148060a7ef8f43616a9687475875cd0f6e582c8197fe9a0b6c16
Homepage: https://cran.r-project.org/package=wheatmap
Description: CRAN Package 'wheatmap' (Incrementally Build Complex Plots using Natural Semantics)
 Builds complex plots, heatmaps in particular, using natural semantics.
 Bigger plots can be assembled using directives such as 'LeftOf', 'RightOf',
 'TopOf', and 'Beneath' and more. Other features include clustering,
 dendrograms and integration with 'ggplot2' generated grid objects. This
 package is particularly designed for bioinformaticians to assemble complex
 plots for publication.

Package: r-cran-when
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1151
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dbi, r-cran-dm, r-cran-dplyr, r-cran-hms, r-cran-lubridate, r-cran-rlang, r-cran-snakecase, r-cran-tibble, r-cran-xlsx
Suggests: r-cran-dbplyr, r-cran-diagrammer, r-cran-diagrammersvg, r-cran-knitr, r-cran-pander, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-when_1.0.0-1.ca2004.1_all.deb
Size: 410724
MD5sum: 55ca347550fb9d00d61cdcd772cde346
SHA1: 4363fc2a06def8575f9db91c6940809280ce5411
SHA256: 35957477fed09dd563f597664106714385f88f6c1dee73e9e2e8d3651370a62a
SHA512: da2da095e8908ec8754e8a90817299aa9c6f40a4a6b0c6daf5d95686550233d5fee7a669501603dcad117de7ff0eb3de734ebc0c40a3c3e4ccda1d037bffc6ca
Homepage: https://cran.r-project.org/package=when
Description: CRAN Package 'when' (Definition of Date and Time Dimension Tables)
 In Multidimensional Systems the When dimension allows us to express when the
 analysed facts have occurred. The purpose of this package is to provide
 support for implementing this dimension in the form of date and time tables
 for Relational On-Line Analytical Processing star database systems.

Package: r-cran-where
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 113
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-data.table, r-cran-dplyr, r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-where_1.0.0-1.ca2004.1_all.deb
Size: 26664
MD5sum: 0ab49629b1ceca166fd62ad600c28bf2
SHA1: 704ad95a4a06aabb92f46a76e385ed74b3dea7d8
SHA256: d3708cefd813819b524e416de54a4b05d5c00660b8e5f8f168acc4706acd6039
SHA512: 50d3439395ccdf547ea3904bae01fd398d6671bf4395b4c6d794a650a310ba1114215545a06682f9c9158b41b52ea9af93e0afe1a33b5e50cd9b80118117d127
Homepage: https://cran.r-project.org/package=where
Description: CRAN Package 'where' (Vectorised Substitution and Evaluation)
 Provides a clean syntax for vectorising the use of Non-Standard Evaluation
 (NSE), for example in 'ggplot2', 'dplyr', or 'data.table'.

Package: r-cran-whereami
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cli, r-cran-rstudioapi, r-cran-jsonlite
Suggests: r-cran-magrittr, r-cran-ggplot2, r-cran-kableextra, r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-whereami_0.2.0-1.ca2004.1_all.deb
Size: 196360
MD5sum: d09ba44b5fe240ecd9a02c2ce045a184
SHA1: 2ec2ab7534f971e2cefbedd4c5eeac78b67323cf
SHA256: d0449d195d03467f58e5a6dd1e843c5f934728901ae0a80f777061de55b7dad2
SHA512: cdbff78882bd9f86ca176d5c4629320ce1ecee3ec4bbee56dc0149f2c9ba72da5c849448caac417b416805327a7fce872a21e3e6e1dba0187a978ac7f09ef256
Homepage: https://cran.r-project.org/package=whereami
Description: CRAN Package 'whereami' (Reliably Return the Source and Call Location of a Command)
 Robust and reliable functions to return informative outputs to console with
 the run or source location of a command. This can be from the 'RScript'/R
 terminal commands or 'RStudio' console, source editor, 'Rmarkdown' document
 and a Shiny application.

Package: r-cran-whereport
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-whereport_0.1-1.ca2004.1_all.deb
Size: 249776
MD5sum: 752fb9ceae381a06ad4d5f4761462c68
SHA1: 783cc6e61ee507d5b38f774f78bdb6d8a40f6cf3
SHA256: b4f37dc2e0a4f36bbec9dc700c85de25596b95f8bfefad76a21df794a1770070
SHA512: 265fa43a31e72aeefee8f13fe36d782192fb22a93c6c21a5ee9091b6079dcaa936476ff92ea8536cd1fe194fe67ed635a86a01b8943b65efe0d74e48d48c3b98
Homepage: https://cran.r-project.org/package=whereport
Description: CRAN Package 'whereport' (Geolocalization of IATA Codes)
 Retrieve geographical information for airports using their IATA or ICAO
 codes.

Package: r-cran-whippr
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1435
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-readxl, r-cran-dplyr, r-cran-stringr, r-cran-lubridate, r-cran-magrittr, r-cran-tibble, r-cran-zoo, r-cran-purrr, r-cran-tidyr, r-cran-broom, r-cran-cli, r-cran-ggplot2, r-cran-glue, r-cran-minpack.lm, r-cran-patchwork, r-cran-rlang, r-cran-nlstools, r-cran-pillar
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-fansi, r-cran-collapsibletree, r-cran-testthat, r-cran-shiny, r-cran-miniui, r-cran-datapasta, r-cran-rstudioapi, r-cran-htmltools, r-cran-readr, r-cran-anomalize, r-cran-ggforce, r-cran-ggtext, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-whippr_0.1.3-1.ca2004.1_all.deb
Size: 1359228
MD5sum: c53800c7ca77f1c1d1dcf2909fa482c9
SHA1: 5eaa465fff3acdcafe35582fa743158376153cd7
SHA256: 04c0121921862a8ef869dba0fb05ff62304c7ead816d7e28933993c35d4466ab
SHA512: 87ef9adaed91f3bf2319b9a8b687fb7a0197bf4450043d6e9b83794d6b3ed38bf3e56a776f3bf595deedeb1470e45168de38df443895dcc15063e95a929d5255
Homepage: https://cran.r-project.org/package=whippr
Description: CRAN Package 'whippr' (Tools for Manipulating Gas Exchange Data)
 Set of tools for manipulating gas exchange data from cardiopulmonary
 exercise testing.

Package: r-cran-whirl
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1755
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-callr, r-cran-cli, r-cran-dplyr, r-cran-jsonlite, r-cran-kableextra, r-cran-knitr, r-cran-quarto, r-cran-r6, r-cran-reticulate, r-cran-rlang, r-cran-sessioninfo, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-unglue, r-cran-withr, r-cran-yaml, r-cran-zephyr
Suggests: r-cran-ggplot2, r-cran-renv, r-cran-rstudioapi, r-cran-testthat, r-cran-usethis
Filename: pool/dists/focal/main/r-cran-whirl_0.2.0-1.ca2004.1_all.deb
Size: 795064
MD5sum: 5bf02e91be71966335b0798e85a709aa
SHA1: 198dc698ec1b1599d9b33c65c0c9a410694f0bc4
SHA256: 75bb98b6b97fb1d5b68fce0b15681958bbb59abe62746f9cff1614e89828cd56
SHA512: ed645b68e7117e75a43ff8d20f846098fe7130c2d4526535c8b0d6e03defb32275c7ee7792795f2bbfc1d54ea19c8a4ac984277bd86a414252d7bc64cfef345c
Homepage: https://cran.r-project.org/package=whirl
Description: CRAN Package 'whirl' (Log Execution of Scripts)
 Logging of scripts suitable for clinical trials using 'Quarto' to create
 nice human readable logs.  'whirl' enables execution of scripts in batch,
 while simultaneously creating logs for the execution of each script, and
 providing an overview summary log of the entire batch execution.

Package: r-cran-whisker
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 211
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-markdown
Filename: pool/dists/focal/main/r-cran-whisker_0.4.1-1.ca2004.1_all.deb
Size: 62088
MD5sum: 086aefd25bdcc22164d7ef7608789f09
SHA1: e81f2e8ce5655b7f9f041e1fef12ac4bbe9afebd
SHA256: 6f63d6000a32c5db6a61bfa1dec346657b247c619a79d2006bbc11f4b5ca4d7a
SHA512: 21a97d2e2392e5eabb777a0fe050c55e044e46cf4f4eba53083be1566e85f5efcbb3c50731b96e90d1bcc85beb0dfa12805c05730491c870d587f7b767ef61ba
Homepage: https://cran.r-project.org/package=whisker
Description: CRAN Package 'whisker' ({{mustache}} for R, Logicless Templating)
 Implements 'Mustache' logicless templating.

Package: r-cran-whitebox
Architecture: all
Version: 2.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3353
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-terra, r-cran-sf, r-cran-raster
Filename: pool/dists/focal/main/r-cran-whitebox_2.4.0-1.ca2004.1_all.deb
Size: 2422520
MD5sum: 78ad64368fac4046393f5ecf143af883
SHA1: b2abfcb190a68e2cdddc0464c1d38e03f6bef500
SHA256: 7aabdaef12e2d2dedf5f910679a33c9d8e60bacfeb4d89e814bfef68c0cd0659
SHA512: 11c2cdf1bf99c8bc1b4aac6b162d71acbdb585d90463e10a104f9e0f1d49997cb9667c3f2b0c1d2466708d164c255ed32ecc8df8b33f673264865f3316150139
Homepage: https://cran.r-project.org/package=whitebox
Description: CRAN Package 'whitebox' ('WhiteboxTools' R Frontend)
 An R frontend for the 'WhiteboxTools' library, which is an advanced
 geospatial data analysis platform developed by Prof. John Lindsay at the
 University of Guelph's Geomorphometry and Hydrogeomatics Research Group.
 'WhiteboxTools' can be used to perform common geographical information
 systems (GIS) analysis operations, such as cost-distance analysis, distance
 buffering, and raster reclassification. Remote sensing and image processing
 tasks include image enhancement (e.g. panchromatic sharpening, contrast
 adjustments), image mosaicing, numerous filtering operations, simple
 classification (k-means), and common image transformations. 'WhiteboxTools'
 also contains advanced tooling for spatial hydrological analysis (e.g.
 flow-accumulation, watershed delineation, stream network analysis, sink
 removal), terrain analysis (e.g. common terrain indices such as slope,
 curvatures, wetness index, hillshading; hypsometric analysis; multi-scale
 topographic position analysis), and LiDAR data processing. Suggested
 citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.

Package: r-cran-whitechapelr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 73
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-igraph
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whitechapelr_0.3.0-1.ca2004.1_all.deb
Size: 37120
MD5sum: c130c1066999a48f9cc1ff4e28053eb1
SHA1: 483d7c4818e544ffbe64f45c5123c03a5dc6332f
SHA256: 80809a9ed08660ba6ba0f8758e29484730396234ec3ad0208935a0e8acfd841e
SHA512: 141ee7e035c0dc2f862fae38d387d09e448259891c7e4be380c2ca1f8dcb29683fb72ae61f6918b988b39beffefed07d1f3618a1029e54bb14ac6efca7f175d1
Homepage: https://cran.r-project.org/package=whitechapelR
Description: CRAN Package 'whitechapelR' (Advanced Policing Techniques for the Board Game "Letters fromWhitechapel")
 Provides a set of functions to make tracking the hidden movements of the
 'Jack' player easier. By tracking every possible path Jack might have
 traveled from the point of the initial murder including special movement
 such as through alleyways and via carriages, the police can more accurately
 narrow the field of their search. Additionally, by tracking all possible
 hideouts from round to round, rounds 3 and 4 should have a vastly reduced
 field of search.

Package: r-cran-whitening
Architecture: all
Version: 1.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 560
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-corpcor
Filename: pool/dists/focal/main/r-cran-whitening_1.4.0-1.ca2004.1_all.deb
Size: 525660
MD5sum: 6f55d72471025ec14ff7ff9c068a724f
SHA1: 63c592df1a812b2382b66ce89ac0c99603445bfa
SHA256: c1ab921b3fe49be7100d55654639de461f259db6bf51b231c39dcc85995678c6
SHA512: 4d297929d25f71da9eb626dedcba9c32f9dc16d9ab44f70f9946ba0db3eb23dbe75f2bbfca1e1ab08be90f30184080ba4afb0644c76e2fcfc90c59a2dea91182
Homepage: https://cran.r-project.org/package=whitening
Description: CRAN Package 'whitening' (Whitening and High-Dimensional Canonical Correlation Analysis)
 Implements the whitening methods (ZCA, PCA, Cholesky, ZCA-cor, and PCA-cor)
 discussed in Kessy, Lewin, and Strimmer (2018) "Optimal whitening and
 decorrelation", <doi:10.1080/00031305.2016.1277159>, as well as the
 whitening approach to canonical correlation analysis allowing negative
 canonical correlations described in Jendoubi and Strimmer (2019) "A
 whitening approach to probabilistic canonical correlation analysis for omics
 data integration", <doi:10.1186/s12859-018-2572-9>. The package also offers
 functions to simulate random orthogonal matrices, compute (correlation)
 loadings and explained variation. It also contains four example data sets
 (extended UCI wine data, TCGA LUSC data, nutrimouse data, extended pitprops
 data).

Package: r-cran-whitestrap
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 256
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-whitestrap_0.0.1-1.ca2004.1_all.deb
Size: 202300
MD5sum: 5fa1c3cf749a85fd5386fe1f7cb457cb
SHA1: 2c702954ac0f018bc3fbf8d4537673e197b83366
SHA256: c114ec34cfeb7fa86abd223cf9615042a4fe07c7cba535f177e12ef54bcddb5c
SHA512: 6c527f5e1727fa03b0e7408d2a812a3dba493a42522ad40da7d0fff0a93cd50bcfdff202f892c5290c53d800166bdef79cb8c4066313f203b4d7b451ee5d2641
Homepage: https://cran.r-project.org/package=whitestrap
Description: CRAN Package 'whitestrap' (White Test and Bootstrapped White Test for Heteroskedasticity)
 Formal implementation of White test of heteroskedasticity and a bootstrapped
 version of it, developed under the methodology of Jeong, J., Lee, K. (1999)
 <https://yonsei.pure.elsevier.com/en/publications/bootstrapped-whites-test-for-heteroskedasticity-in-regression-mod>.

Package: r-cran-whitestripe
Architecture: all
Version: 2.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1728
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-oro.nifti, r-cran-mgcv, r-cran-neurobase
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-whitestripe_2.4.3-1.ca2004.1_all.deb
Size: 1666932
MD5sum: 56d878564286343e2db241fcd345fb94
SHA1: af26975fde460bdc2298c2c452955759c11c2cdd
SHA256: aa78e12008938bed7c55e417b2a078f63bd49e79c357e523d1c8458da717579a
SHA512: 417a41671a6ce67361b8b55c45a59cac70f58ee2d9eba64a7b2987cf119d6f8ad6f9b4b4d44dc4e22df72841a647d15b60ae2d567e6b296117d5cf22259f4ef5
Homepage: https://cran.r-project.org/package=WhiteStripe
Description: CRAN Package 'WhiteStripe' (White Matter Normalization for Magnetic Resonance Images)
 Shinohara (2014) <doi:10.1016/j.nicl.2014.08.008> introduced 'WhiteStripe',
 an intensity-based normalization of T1 and T2 images, where normal appearing
 white matter performs well, but requires segmentation.  This method performs
 white matter mean and standard deviation estimates on data that has been
 rigidly-registered to the 'MNI' template and uses histogram-based methods.

Package: r-cran-whitewater
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2358
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dataretrieval, r-cran-dplyr, r-cran-cli, r-cran-crayon, r-cran-furrr, r-cran-httr, r-cran-plyr, r-cran-purrr, r-cran-stringr, r-cran-usethis, r-cran-lubridate, r-cran-readr, r-cran-tidyr, r-cran-future
Suggests: r-cran-ggplot2, r-cran-covr, r-cran-rmarkdown, r-cran-knitr, r-cran-ggfx, r-cran-broom, r-cran-patchwork, r-cran-jsonlite, r-cran-kendall, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whitewater_0.1.3-1.ca2004.1_all.deb
Size: 2317008
MD5sum: 150274a88d390a78b1bc63804dc67715
SHA1: b6c30db76bc8deba03431314f706e02b1729762f
SHA256: 277effb64e97fede35fdf5077c506e8afc55e0c03b4bd9f85a7a991b210ae469
SHA512: f020222e0088670f7a5b744ea814e6b52f57957e5ea23fbb5c6afcc1aad09344debf0f8b8059bd1a1eb90986a22e6a74c297aabd3b2054eb163ff14142c31020
Homepage: https://cran.r-project.org/package=whitewater
Description: CRAN Package 'whitewater' (Parallel Processing Options for Package 'dataRetrieval')
 Provides methods for retrieving United States Geological Survey (USGS) water
 data using sequential and parallel processing (Bengtsson, 2022
 <doi:10.32614/RJ-2021-048>). In addition to parallel methods, data wrangling
 and additional statistical attributes are provided.

Package: r-cran-whoami
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-mockery, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-whoami_1.3.0-1.ca2004.1_all.deb
Size: 30076
MD5sum: f4d643d29b883ad24df8a37242aae79e
SHA1: 6377e6010a56a612f407dadbcb5857d5cecea892
SHA256: 02a2cdfef370bc59e64a06347aabd429026b983d54179f56ebbc6e1d3299c2bf
SHA512: 4ee02673d739d95bd074d5471a64d5414a28f25e2a25f94c0f58fd64ac814470928f43ca2af275a78394ba4a59c8ee04d0021238f41e7fc2cedba6f47491e8f0
Homepage: https://cran.r-project.org/package=whoami
Description: CRAN Package 'whoami' (Username, Full Name, Email Address, 'GitHub' Username of theCurrent User)
 Look up the username and full name of the current user, the current user's
 email address and 'GitHub' username, using various sources of system and
 configuration information.

Package: r-cran-whomds
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4007
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-psych, r-cran-colorspace, r-cran-dplyr, r-cran-erm, r-cran-ggraph, r-cran-ggplot2, r-cran-gparotation, r-cran-igraph, r-cran-nfactors, r-cran-plyr, r-cran-polycor, r-cran-purrr, r-cran-rcolorbrewer, r-cran-readr, r-cran-rlang, r-cran-scales, r-cran-srvyr, r-cran-stringr, r-cran-tam, r-cran-tibble, r-cran-tidygraph, r-cran-tidyr, r-cran-wrightmap
Suggests: r-cran-covr, r-cran-httr, r-cran-knitr, r-cran-lubridate, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whomds_1.1.1-1.ca2004.1_all.deb
Size: 1647680
MD5sum: 716c584f8c57ed783023618fa6d8081f
SHA1: 87a57dff92df2b3b1ba80565247ead532e16ff16
SHA256: 5240744cfc9569b795ea2642c7d2d6f417c213f5dd3f378c04f0c8af71b27647
SHA512: 26a66ff2e71f9a3a7fe5078d34360a7a5c7009d080fb76834e1a8ac9a41849aaec0088f23b0557188fe83ec35dc1fec9be02e78a2ff132af3b5a0327c6929fc2
Homepage: https://cran.r-project.org/package=whomds
Description: CRAN Package 'whomds' (Calculate Results from WHO Model Disability Survey Data)
 The Model Disability Survey (MDS)
 <https://www.who.int/activities/collection-of-data-on-disability> is a World
 Health Organization (WHO) general population survey instrument to assess the
 distribution of disability within a country or region, grounded in the
 International Classification of Functioning, Disability and Health
 <https://www.who.int/standards/classifications/international-classification-of-functioning-disability-and-health>.
 This package provides fit-for-purpose functions for calculating and
 presenting the results from this survey, as used by the WHO. The package
 primarily provides functions for implementing Rasch Analysis (see Andrich
 (2011) <doi:10.1586/erp.11.59>) to calculate a metric scale for disability.

Package: r-cran-whsample
Architecture: all
Version: 0.9.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 134
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-magrittr, r-cran-openxlsx, r-cran-dplyr, r-cran-purrr, r-cran-bit64
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-whsample_0.9.6.2-1.ca2004.1_all.deb
Size: 48472
MD5sum: cd74e3fbb85a0daeb47b31961fee9e82
SHA1: 91ed98454f72933c012b4b841cbea4ede1e9d8ef
SHA256: 104a0f9ca2c86eeb194d9909e435388ef40eff33c714ef8fcee8162bfd65f626
SHA512: 59592ea64641716c635ffb978ae4662c5dffb84d8e6481aa53ced1041b41565cc2780fd7fa52607b35d9e1ee43872c6379f2cd2c450fb793fda5f57c27251628
Homepage: https://cran.r-project.org/package=whSample
Description: CRAN Package 'whSample' (Utilities for Sampling)
 Interactive tools for generating random samples. Users select an .xlsx,
 .csv, or delimited .txt file with population data and are walked through
 selecting the sample type (Simple Random Sample or Stratified), the number
 of backups desired, and a "stratify_on" value (if desired). The sample size
 is determined using a normal approximation to the hypergeometric
 distribution based on Nicholson (1956) <doi:10.1214/aoms/1177728270>. An
 .xlsx file is created with the sample and key metadata for reference. It is
 menu-driven and lets users pick an output directory. See vignettes for a
 detailed walk-through.

Package: r-cran-wiad
Architecture: all
Version: 0.0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 603
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-abind, r-cran-data.table, r-cran-shiny, r-cran-dplyr, r-cran-dt
Suggests: r-cran-dplr, r-cran-imager, r-cran-jsonlite, r-cran-jpeg, r-cran-png, r-cran-plotly, r-cran-shinyfiles, r-cran-shinyjs, r-cran-shinythemes, r-cran-raster, r-cran-rgdal, r-cran-readr, r-cran-readxl, r-cran-sp, r-cran-testthat, r-cran-tiff, r-cran-tibble, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-wiad_0.0.1.0-1.ca2004.1_all.deb
Size: 450216
MD5sum: 477c5837a5f02165f68a5b8c9cc12dae
SHA1: ae8ac56e0887653dc5a53615e502eedb192533aa
SHA256: f80665fcf1454e62f248a0a761470ed658e61fde4690cc88ffd22b763b97fed8
SHA512: 7de41723352682c3c3b6e3030a8732fdf2bccaed1a568a2506b114e3f7bad49178a73da844e80045c33ca686b072d74137a42909844f968788a064f9b2286a47
Homepage: https://cran.r-project.org/package=wiad
Description: CRAN Package 'wiad' (Wood Image Analysis and Dataset)
 Providing a user-friendly interface to digitize wood imagery such as tree
 ring scans. The package offers a web-based application that the user can run
 locally from their computers to analyze wood characteristics.

Package: r-cran-widerhino
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1476
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-geigen, r-cran-matrix, r-cran-mass, r-cran-ggplot2, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-widerhino_1.0.2-1.ca2004.1_all.deb
Size: 1463104
MD5sum: f859a812d9ed7906153679bd02b96139
SHA1: 78f0f323ef7e7617f0659fc1ee1537a6b2163c49
SHA256: 755da27bb87c75687ce69552914569b32d1244dd7099c8fe15e491731b028a94
SHA512: bbb58261af7fa7e5c5486c0cafb0465bae15e4d3b7a93bc47849bd74c42120f82a923e9e25f17913a44120b0a40f3ec87015bb442bdee501b6646c87235edbb8
Homepage: https://cran.r-project.org/package=wideRhino
Description: CRAN Package 'wideRhino' (High-Dimensional Methods via Generalised Singular Decomposition)
 Construct a Canonical Variate Analysis Biplot via the Generalised Singular
 Value Decomposition, for cases when the number of samples is less than the
 number of variables. For more information on biplots, see Gower JC, Lubbe
 SG, Le Roux NJ (2011) <doi:10.1002/9780470973196> and for more information
 on the generalised singular value decomposition, see Edelman A, Wang Y
 (2020) <doi:10.1137/18M1234412>.

Package: r-cran-widgetframe
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 190
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-htmltools, r-cran-purrr, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-widgetframe_0.3.1-1.ca2004.1_all.deb
Size: 56856
MD5sum: 17ac7ddeeb188a6de17dc77d52cb0c57
SHA1: 06809296054052230d28a4ab0e227d6a31cc8896
SHA256: e233809ead16510f6cd67f0e4c62260a2dd031504cec64495125920ac9b94de1
SHA512: 4467b0072ae775ffd03c564f8811e9ba1c75bb302aceb642e57c39f33029a40503112734d2ef3ab997865741d4c882c24eda496e731f9db91ec09e5cab49f5fe
Homepage: https://cran.r-project.org/package=widgetframe
Description: CRAN Package 'widgetframe' ('Htmlwidgets' in Responsive 'iframes')
 Provides two functions 'frameableWidget()', and 'frameWidget()'.  The
 'frameableWidget()' is used to add extra code to a 'htmlwidget' which allows
 is to be rendered correctly inside a responsive 'iframe'.  The
 'frameWidget()' is a 'htmlwidget' which displays content of another
 'htmlwidget' inside a responsive 'iframe'.  These functions allow for easier
 embedding of 'htmlwidgets' in content management systems such as
 'wordpress', 'blogger' etc.  They also allow for separation of widget
 content from main HTML content where CSS of the main HTML could interfere
 with the widget.

Package: r-cran-widyr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 543
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-broom, r-cran-dplyr, r-cran-matrix, r-cran-purrr, r-cran-reshape2, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidytext
Suggests: r-cran-countrycode, r-cran-covr, r-cran-fuzzyjoin, r-cran-gapminder, r-cran-ggplot2, r-cran-ggraph, r-cran-igraph, r-cran-irlba, r-cran-janeaustenr, r-cran-knitr, r-cran-maps, r-cran-rmarkdown, r-cran-testthat, r-cran-unvotes
Filename: pool/dists/focal/main/r-cran-widyr_0.1.5-1.ca2004.1_all.deb
Size: 365296
MD5sum: ec1e9b41d3b244a74dc380102b5183c3
SHA1: e713db21dc0e84e0ed1cc52f457c1ed48a717516
SHA256: e61bc9ddc142aaee2ba10ffc832f85bca485c997613e1d2c6e44eee5c06027eb
SHA512: 81e0655eac4f1a616808faece00d53d165c2a39df48bb5448d4d7522b704fdc779c1985b0109c0ac3369906c77ce1f0d82b272b49b8b84202c50d0d5627f4d66
Homepage: https://cran.r-project.org/package=widyr
Description: CRAN Package 'widyr' (Widen, Process, then Re-Tidy Data)
 Encapsulates the pattern of untidying data into a wide matrix, performing
 some processing, then turning it back into a tidy form. This is useful for
 several operations such as co-occurrence counts, correlations, or clustering
 that are mathematically convenient on wide matrices.

Package: r-cran-wiesbaden
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-stringr, r-cran-stringi, r-cran-readr, r-cran-jsonlite, r-cran-keyring
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wiesbaden_1.2.10-1.ca2004.1_all.deb
Size: 70000
MD5sum: 9e510d056f2f0ba494295fd2198daebb
SHA1: 37071a0db42bb2f001e30c0b3cd605cc1b257a58
SHA256: dd7f0a7069456c47815c7f6d58b7deb819294b06758c6bbed6c9e20219a62df6
SHA512: d723b4637191881e311dbfd5a6961cd0a2c46a5ca1a585932f32b3fb1bfcdc927732dd94928fdb723e47f0824daa404a23996049acb43ccb3aa233845782a358
Homepage: https://cran.r-project.org/package=wiesbaden
Description: CRAN Package 'wiesbaden' (Access Databases from the Federal Statistical Office of Germany)
 Retrieve and import data from different databases of the Federal Statistical
 Office of Germany (DESTATIS) using their SOAP XML web service
 <https://www-genesis.destatis.de/>.

Package: r-cran-wig
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-stringr, r-cran-tibble
Suggests: r-cran-spelling
Filename: pool/dists/focal/main/r-cran-wig_0.1.0-1.ca2004.1_all.deb
Size: 40948
MD5sum: 2e1e1319874c91938dd1d6d110635b63
SHA1: 025133e6113371bcb64c2db4144b00071230b312
SHA256: 827e7734a59c336df364f208fad2f4c4a6f3fc3ce4566668b96f4bab9e1b5c9b
SHA512: 07b1ff32ce0e29d02f3255552e34da8b55e572da794e6025125639032aba2d285654889102dacf86fa6633e8004c80fd062fb197a0b41a22901c5b6d2b48ba02
Homepage: https://cran.r-project.org/package=wig
Description: CRAN Package 'wig' (Import WIG Data into R in Long Format)
 Import WIG data into R in long format.

Package: r-cran-wikibooks
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 155
Depends: r-base-core (>= 4.2.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wikibooks_0.2.1-1.ca2004.1_all.deb
Size: 121180
MD5sum: 255a3257ef683f316384394af744c724
SHA1: f9ce409faa096107dd3a4bfd7cce2fdd7b83ca71
SHA256: bce956550e2f98a9955704d87b2f21b04cbd1ea6fcab162f33e10e2914039309
SHA512: a7ee43ddb3eb1b53608755a876a20a279185bd1d835f948878cfd306c71c330c42a04ecbf9e93ab2e5c90620b90be4734778fb138fe5f1cbeea922d02dafbee9
Homepage: https://cran.r-project.org/package=wikibooks
Description: CRAN Package 'wikibooks' (Functions and Datasets of the German WikiBook "GNU R")
 The german Wikibook "GNU R" introduces R to new users. This package is a
 collection of functions and datas used in the german WikiBook "GNU R".

Package: r-cran-wikidataqueryservicer
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 58
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-dplyr, r-cran-jsonlite, r-cran-wikipedir, r-cran-ratelimitr, r-cran-purrr, r-cran-readr, r-cran-rex
Suggests: r-cran-testthat, r-cran-lintr
Filename: pool/dists/focal/main/r-cran-wikidataqueryservicer_1.0.0-1.ca2004.1_all.deb
Size: 25412
MD5sum: 3db3bbc693eeab6171f2e78c16b6c3a6
SHA1: 450246a41dabb33c9c30501c415b6e46e963750b
SHA256: d3c4fd275527428516d74c3e2b10a31f7cb0863183e6b1d18cc06f5cac2c7eb6
SHA512: 43f64a6d50b98182a61a06452a108b62ea6b08a3f69216bdd23e4d36b693b05c1ca7b80ec247df580042fde801286ec6ba0e263a948f499133dc6d40a1ba71ed
Homepage: https://cran.r-project.org/package=WikidataQueryServiceR
Description: CRAN Package 'WikidataQueryServiceR' (API Client Library for 'Wikidata Query Service')
 An API client for the 'Wikidata Query Service'
 <https://query.wikidata.org/>.

Package: r-cran-wikidatar
Architecture: all
Version: 2.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1307
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-wikipedir, r-cran-wikidataqueryservicer, r-cran-tibble, r-cran-dplyr, r-cran-stringr, r-cran-hmisc, r-cran-progress, r-cran-pbapply, r-cran-readr, r-cran-crayon
Suggests: r-cran-markdown, r-cran-testthat, r-cran-tidyverse, r-cran-knitr, r-cran-pageviews
Filename: pool/dists/focal/main/r-cran-wikidatar_2.3.3-1.ca2004.1_all.deb
Size: 1138960
MD5sum: 956049a24db890c3a6714f21a8e616cf
SHA1: f6c550713a286806c7018aa9a6a8bd199549e067
SHA256: 767a05d2f8fc93059ab91dcdb36009b075dfd977b5dae69122f544399751698d
SHA512: affdb3eb272b63fd800e77ff7425cdfa72a18eec5a6be816ef4a85272946b1b06fe5da82a3963df3ec91e2c9a60c6bcf9e49cb128ed0f0e68fb4beb7686aa72a
Homepage: https://cran.r-project.org/package=WikidataR
Description: CRAN Package 'WikidataR' (Read-Write API Client Library for Wikidata)
 Read from, interogate, and write to Wikidata <https://www.wikidata.org> -
 the multilingual, interdisciplinary, semantic knowledgebase. Includes
 functions to: read from wikidata (single items, properties, or properties);
 query wikidata (retrieving all items that match a set of criterial via
 Wikidata SPARQL query service); write to Wikidata (adding new items or
 statements via QuickStatements); and handle and manipulate Wikidata objects
 (as lists and tibbles). Uses the Wikidata and Quickstatements APIs.

Package: r-cran-wikifacts
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 119
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rvest, r-cran-xml2
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wikifacts_0.4.2-1.ca2004.1_all.deb
Size: 77044
MD5sum: cc3f7b953309552cc06b028910049cc1
SHA1: 5aaf584a6be7f6ee4a3a4ec018b27d2e3de8f01c
SHA256: b7ff5aca405c531d9d2e231626fbd2766175f2ddc665657c1be411178f5c17fd
SHA512: 272812bc7f60c0358c1bd7b6ed518f186f1df56d19af1e59f90887c6372f13c03dec276379758b3a52c4eaf3a7aa763a72dfbb2af3e80cec866334682831ad97
Homepage: https://cran.r-project.org/package=wikifacts
Description: CRAN Package 'wikifacts' (Get Facts and Data from Wikipedia and Wikidata)
 Query Wikidata and get facts from current and historic Wikipedia main pages.

Package: r-cran-wikilake
Architecture: all
Version: 0.7.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 160
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-maps, r-cran-rvest, r-cran-stringi, r-cran-wikipedir, r-cran-xml2, r-cran-sp, r-cran-stringr, r-cran-selectr, r-cran-units, r-cran-dplyr, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-wikilake_0.7.0-1.ca2004.1_all.deb
Size: 94644
MD5sum: 92dda938f7d5f012a291e3c75672b0fd
SHA1: 8ea845b6c8efecbf56ca856963b952a5c20aac81
SHA256: 5ad96de688fc85b7e94a3a417e34f087a00b8718ae71c6934cd16a9372c9c180
SHA512: bc3bfd710b6aa4b56e3ea3ee821c083eb956a6f0f74ec3e9ebe6696a128925d24773b60d7b28c248656861fe878105aa8974a6c477d8c57ec946aec260d72460
Homepage: https://cran.r-project.org/package=wikilake
Description: CRAN Package 'wikilake' (Scrape Lake Metadata Tables from Wikipedia)
 Scrape lake metadata tables from Wikipedia <https://www.wikipedia.org/>.

Package: r-cran-wikipediar
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 132
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-httr
Filename: pool/dists/focal/main/r-cran-wikipediar_1.1-1.ca2004.1_all.deb
Size: 103992
MD5sum: c479bfd2232b16103a2babdf47e5a546
SHA1: 095b1c0d49c4891f374c2aada2779898021ad2fc
SHA256: a95aceca5da30fbe3e90dd0e7a59e13a973feb7d54de99329cc2fabee60d8c40
SHA512: 4b087f819411b8207fb0fee565e246e737c7e6369e6f166ecb7fb7de99d3878cbfcd632ccf3710c4e4c4d672412d2f16dc22f10b632d290c29561d2d8c1ced5c
Homepage: https://cran.r-project.org/package=WikipediaR
Description: CRAN Package 'WikipediaR' (R-Based Wikipedia Client)
 Provides an interface to the Wikipedia web application programming interface
 (API), using internet connexion.Three functions provide details for a
 specific Wikipedia page : all links that are present, all pages that link
 to, all the contributions (revisions for main pages, and discussions for
 talk pages). Two functions provide details for a specific user : all
 contributions, and general information (as name, gender, rights or groups).
 It provides additional information compared to others packages, as
 WikipediR. It does not need login. The multiplex network that can be
 constructed from the results of the functions of WikipediaR can be modeled
 as Stochastic Block Model as in Barbillon P., Donnet, S., Lazega E., and
 Bar-Hen A. : Stochastic Block Models for Multiplex networks: an application
 to networks of researchers, ArXiv 1501.06444,
 http://arxiv.org/abs/1501.06444.

Package: r-cran-wikipediatrend
Architecture: all
Version: 2.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1150
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pageviews, r-cran-stringr, r-cran-rvest, r-cran-httr, r-cran-xml2, r-cran-hellno, r-cran-glue, r-cran-ggplot2
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-wikipediatrend_2.1.6-1.ca2004.1_all.deb
Size: 141408
MD5sum: da725b33284e0b50508d5436caae01b7
SHA1: b9d765736afac77db7a3a6f92098280564a854c4
SHA256: 793b9cd37385087a48c070b3b77b8a03ec0b831561cf5b2f4435465d5d8fd8d2
SHA512: b0261598210d46943086e72feb7c4b629fbdc758108d836b13e32761cf7fad1a4e8f993e102cdc24b577b2221644a1261bf587725762e14fa825526b1c8a6905
Homepage: https://cran.r-project.org/package=wikipediatrend
Description: CRAN Package 'wikipediatrend' (Public Subject Attention via Wikipedia Page View Statistics)
 A convenience wrapper for the Wikipedia page access statistics API binding
 the 'pageviews' package and using an additional self composed data source
 thus covering a time span from very late 2007 up to the present for daily
 page views.

Package: r-cran-wikipedir
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-magrittr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-wikidatar, r-cran-pageviews
Filename: pool/dists/focal/main/r-cran-wikipedir_1.7.1-1.ca2004.1_all.deb
Size: 97220
MD5sum: 2e1e6009c7091c0ee81054ce0ab97798
SHA1: fc90707f40034ac8f35c4e15c6f77d571faebd35
SHA256: 0d58edc12568d9d5c753cc4d88cafe17583cafb56710dd5718b4d13647722288
SHA512: 3ebed71ca5f819d307423b654af15bf4051f7ffae9ff63cebdb6671f8de371b727453e7651c2d62ba051a37ee52094f0f6faf64de2538a343dab0f86c8bc96f1
Homepage: https://cran.r-project.org/package=WikipediR
Description: CRAN Package 'WikipediR' (A MediaWiki API Wrapper)
 A wrapper for the MediaWiki API, aimed particularly at the Wikimedia
 'production' wikis, such as Wikipedia. It can be used to retrieve page text,
 information about users or the history of pages, and elements of the
 category tree.

Package: r-cran-wikiprofiler
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-ggplot2, r-cran-ggplotify, r-cran-gson, r-cran-rsvg, r-cran-yulab.utils
Filename: pool/dists/focal/main/r-cran-wikiprofiler_0.1.6-1.ca2004.1_all.deb
Size: 38180
MD5sum: 9de903f70708ad4c598fc78a1f8f58a7
SHA1: cead21b94c485924ed912a77feabb00da77f74a7
SHA256: d3179881937b357c42632a05cf1d0c3f52ca0b1953766e5dd32f002917b237b7
SHA512: bcce4031103833b8a1a3338d9a9480d630b93e93f7325a6d819c5a5d194f4ddc1ca3bd6f5c4a9586e8afae8ad90624e269e6c1eaccaa8da40a2a7c6ba7c8b066
Homepage: https://cran.r-project.org/package=wikiprofiler
Description: CRAN Package 'wikiprofiler' ('WikiPathway' Based Data Integration and Visualization)
 Queries online 'WikiPathway' graphics and allows mapping user data (e.g.,
 expression values) on the graph. The package designs a grammar of graphic
 syntax that using pipe operator to add graphic layer.

Package: r-cran-wikitaxa
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1172
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-wikidatar, r-cran-data.table, r-cran-curl, r-cran-crul, r-cran-tibble, r-cran-jsonlite, r-cran-xml2
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-wikitaxa_0.4.0-1.ca2004.1_all.deb
Size: 377040
MD5sum: a87f16d09dbb975ee66865c47136c452
SHA1: 8e089410cb5b1342a459e0cf02fabcfd0e6d9b48
SHA256: db58d44f484c0c9cd94343dc0388f4dedde1b350d182fbdaf2ca34c949f3889d
SHA512: be487cb53fe31fa3a101c89592cb89d09d166240008f8502834123256a23e7c2f7747601a149e5635cecc9398083751349e420ab114a91bd9fbb4931f82ca69b
Homepage: https://cran.r-project.org/package=wikitaxa
Description: CRAN Package 'wikitaxa' (Taxonomic Information from 'Wikipedia')
 'Taxonomic' information from 'Wikipedia', 'Wikicommons', 'Wikispecies', and
 'Wikidata'. Functions included for getting taxonomic information from each
 of the sources just listed, as well performing taxonomic search.

Package: r-cran-wikitools
Architecture: all
Version: 1.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 367
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-ratelimitr, r-cran-collections
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wikitools_1.2.8-1.ca2004.1_all.deb
Size: 259764
MD5sum: 0b9b58dd4f5152325e51d3603f0fbb48
SHA1: db9b532c427af0a0f4b8449724b1c572fd27d3f5
SHA256: a898d0317e9c946b7e750f0990e2e6419a8236c80b47ccc1a03cb45342c81808
SHA512: 45a1319f9960aab3deec11c8a616c9075b7c87f3caa87788b84771aa26808b862e1f05021f9de16c8d0feb70e7663f380cc7f5888387810d125ccfbace7ed1cb
Homepage: https://cran.r-project.org/package=wikiTools
Description: CRAN Package 'wikiTools' (Tools for Wikidata and Wikipedia)
 A set of wrappers intended to check, read and download information from the
 Wikimedia sources. It is specifically created to work with names of
 celebrities, in which case their information and statistics can be
 downloaded. Additionally, it also builds links and snippets to use in
 combination with the function gallery() in netCoin package.

Package: r-cran-wikkitidy
Architecture: all
Version: 0.1.14-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3119
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-coro, r-cran-dplyr, r-cran-glue, r-cran-httr2, r-cran-lubridate, r-cran-magrittr, r-cran-openssl, r-cran-pillar, r-cran-purrr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-vctrs, r-cran-webfakes
Suggests: r-cran-covr, r-cran-igraph, r-cran-roxygen2, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-wikkitidy_0.1.14-1.ca2004.1_all.deb
Size: 3049456
MD5sum: 21519389f10a77c818a46c91d27bc668
SHA1: b885c480696292096456ef2ea9beea48b1cfc2e1
SHA256: 2b6953f0fdb06eaa06e8616399e1483aeaee7421036c107b636694f14c246181
SHA512: 2599ead6f771986bd5cd907fbb3d365a466d4ac5453c9c5a2b09c6140ede70bf062a727db5d80c8064f40858ee0dda40d9b033c472308917deafdbf4d342f3d0
Homepage: https://cran.r-project.org/package=wikkitidy
Description: CRAN Package 'wikkitidy' (Tidy Analysis of Wikipedia)
 Access 'Wikipedia' through the several 'MediaWiki' APIs
 (<https://www.mediawiki.org/wiki/API>), as well as through the 'XTools' API
 (<https://www.mediawiki.org/wiki/XTools/API>). Ensure your API calls are
 correct, and receive results in tidy tibbles.

Package: r-cran-wilcoxcv
Architecture: all
Version: 1.0-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wilcoxcv_1.0-2-1.ca2004.1_all.deb
Size: 32332
MD5sum: b41079f6e90d394e5156a9dd033cf819
SHA1: f2d66610bfc6b869a5c6bb889d16d547d0a0a678
SHA256: 14ecd35c79a48c082dd6ba27626d2218a290dcb3b6f73e02303e4da7069d6378
SHA512: 916f5f59dc214972027348c5283b984d96822e28d553cf67db2fc644a210f259f94638e1afec8bf7348483b87699a6987bdc91fa731e92d1bfe955c0324bf125
Homepage: https://cran.r-project.org/package=WilcoxCV
Description: CRAN Package 'WilcoxCV' (Wilcoxon-based variable selection in cross-validation)
 This package provides functions to perform fast variable selection based on
 the Wilcoxon rank sum test in the cross-validation or Monte-Carlo
 cross-validation settings, for use in microarray-based binary
 classification.

Package: r-cran-wilcoxmed
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wilcoxmed_0.0.1-1.ca2004.1_all.deb
Size: 17240
MD5sum: 87b2f2f0929e0a1c0abc124ec7612e96
SHA1: c73d43e7b30e6c7b5df29e87efe8c5b4e2a46fc4
SHA256: f6e8c922970538e72842aec73c183b74c11794402c8de559323f731040249110
SHA512: 3dff9b67231eca1731c120a07123065251370bd217c4968cf79c9c4e4439e4b2203761e86fb3333d7520d037c22bb44af95e7c8937df6c2f4374b1f01b189bd3
Homepage: https://cran.r-project.org/package=wilcoxmed
Description: CRAN Package 'wilcoxmed' (Computes Values for the 1-Sample Wilcoxon Sign Rank Test forMedians)
 An implementation of the 1-Sample Wilcoxon Sign rank test for medians.  It
 includes 2 functions, W_stat(), which computes the exact probabilities of
 the Wilcoxon Sign Rank Test Statistic, W.  The second function,
 Wilcox.m.test() allows the user to conduct the 1-Sample Wilcoxon Sign Rank
 hypothesis test for medians, this also allows the user to conduct the
 hypothesis test for the normal approximation, based on the techniques of
 Bickel and Doksum (1973, ISBN:013850363X).

Package: r-cran-wildcard
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-stringi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wildcard_1.1.0-1.ca2004.1_all.deb
Size: 49920
MD5sum: fd004d10a1cdc381367e00c407429bf8
SHA1: 5099469408ab10a37c7baddf7e87eca061ff843b
SHA256: 1b7b8821ee4e392986f039698ab3b8136e2ea2cddac9a11f97fd99ec920bbd01
SHA512: f4c2bf6e2ce347ffc7cb2ae05e79518b67f23304f292ff8f7802b9b832a3db080544801d26ee42bfe2abc1825425c98433cc01aa41d7365bb8fb23af737210fd
Homepage: https://cran.r-project.org/package=wildcard
Description: CRAN Package 'wildcard' (Templates for Data Frames)
 Generate data frames from templates.

Package: r-cran-wildlifedi
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 767
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-move2, r-cran-adehabitatlt, r-cran-sp, r-cran-sf, r-cran-dplyr, r-cran-units, r-cran-lwgeom
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown, r-cran-igraph
Filename: pool/dists/focal/main/r-cran-wildlifedi_1.0.1-1.ca2004.1_all.deb
Size: 527252
MD5sum: f67e0a66babc074fcda01020ae14a0ca
SHA1: 39f6d082e28522f50cf8e579c04119865d357bd4
SHA256: d0d717f5fd545b2d47da886458b8c83c249074aad6555defaa03afa2968a2835
SHA512: 445faccdd567b9d83c1d277ca728e4eac317a06d7b8e72755256125d2c9f489b2fa4a0edb5bd03a6ad3717d63624565cf901cc04e10d271d13540d0257cf67b1
Homepage: https://cran.r-project.org/package=wildlifeDI
Description: CRAN Package 'wildlifeDI' (Calculate Indices of Dynamic Interaction for Wildlife TrackingData)
 Dynamic interaction refers to spatial-temporal associations in the movements
 of two (or more) animals. This package provides tools for calculating a
 suite of indices used for quantifying dynamic interaction with wildlife
 telemetry data. For more information on each of the methods employed see the
 references within. The package (as of version >= 0.3) also has new tools for
 automating contact analysis in large tracking datasets. The package (as of
 version 1.0) uses the 'move2' class of objects for working with tracking
 dataset.

Package: r-cran-wildmeta
Architecture: all
Version: 0.3.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1246
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-clubsandwich, r-cran-sandwich, r-cran-robumeta, r-cran-metafor
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-covr, r-cran-mockery, r-cran-future, r-cran-future.apply, r-cran-parallelly
Filename: pool/dists/focal/main/r-cran-wildmeta_0.3.2-1.ca2004.1_all.deb
Size: 1140108
MD5sum: 7490c2e6aa6dd1d3182c6eee2e19a962
SHA1: ca0be3564bc5f21390d23b9d60fea3c62cc4ec0f
SHA256: f5618fffe9226af221dfd88593104a90278850bfa31b9808d758590fcec82743
SHA512: 757c13df73834f95926fa442bcaac37546cb72fde784e45d012b0c3a8d336120d660534eb202439b310f6d4c6a26b8d4191e616199a66c920c3ff601f89821df
Homepage: https://cran.r-project.org/package=wildmeta
Description: CRAN Package 'wildmeta' (Cluster Wild Bootstrapping for Meta-Analysis)
 Conducts single coefficient tests and multiple-contrast hypothesis tests of
 meta-regression models using cluster wild bootstrapping, based on methods
 examined in Joshi, Pustejovsky, and Beretvas (2022) <DOI:10.1002/jrsm.1554>.

Package: r-cran-wildpoker
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 818
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wildpoker_1.1-1.ca2004.1_all.deb
Size: 794952
MD5sum: a9e3f861630baee9f4dd20273a65e538
SHA1: ab23ae632811d3e7458227cb680172c9d2d27ea6
SHA256: 7f135459dc06a0daadfee19434e27ab05db5ed60d523a6809564b312d2002cc3
SHA512: 57a2ebf0c3ddd6029e3b849021a1858b91b3e465a1f52585b08cb5e7fbf00eaef8210b8247f38cc4fc191fa9461286e317e5f6882563c433ee087e3202f4fac3
Homepage: https://cran.r-project.org/package=wildpoker
Description: CRAN Package 'wildpoker' (Best Hand Analysis for Poker Variants Including Wildcards)
 Provides insight into how the best hand for a poker game changes based on
 the game dealt, players who stay in until the showdown and wildcards added
 to the base game.  At this time the package does not support player tactics,
 so draw poker variants are not included.

Package: r-cran-wildrwolf
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-fixest, r-cran-fwildclusterboot, r-cran-dreamerr, r-cran-fabricatr, r-cran-mass
Suggests: r-cran-covr, r-cran-testthat, r-cran-rmarkdown, r-cran-ggplot2, r-cran-rstata, r-cran-microbenchmark
Filename: pool/dists/focal/main/r-cran-wildrwolf_0.6.1-1.ca2004.1_all.deb
Size: 32416
MD5sum: 188363a34bfe913c7949c1efbaaa7237
SHA1: 9166a1e8c4cbb92ebd2e37367f3bb9d60ec49f06
SHA256: d5dee8888a1e9b1ee329613a5432add338974e716ff50454ed3d00e458c36556
SHA512: a32d61064a341a6ad1d4fc99ca6fc6fc0726c10dafc7646e71ffa659f6f1783b2b35d4c7001d66b9e801fca5c3cac76dfe99e886c795241db419088cc5c53f0f
Homepage: https://cran.r-project.org/package=wildrwolf
Description: CRAN Package 'wildrwolf' (Fast Computation of Romano-Wolf Corrected p-Values for LinearRegression Models)
 Fast Routines to Compute Romano-Wolf corrected p-Values (Romano and Wolf
 (2005a) <DOI:10.1198/016214504000000539>, Romano and Wolf (2005b)
 <DOI:10.1111/j.1468-0262.2005.00615.x>) for objects of type 'fixest' and
 'fixest_multi' from the 'fixest' package via a wild (cluster) bootstrap.

Package: r-cran-wildviz
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4828
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-purrr, r-cran-rnoaa, r-cran-rsqlite, r-cran-shiny, r-cran-tibble, r-cran-tidyr, r-cran-shinythemes, r-cran-ggplot2, r-cran-plotly, r-cran-ggthemes
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wildviz_0.1.2-1.ca2004.1_all.deb
Size: 4842164
MD5sum: 3b0a57cc8d3767620dfb645454ba1081
SHA1: 0ba5a01695bc9780c6b8fb38f6915af7366bfac3
SHA256: 0353da6baf98114e809e6e6a668c77d32bbd75dae3f2b85057c98f6046ac552b
SHA512: 965fe43864fc8c8a9117e48d5c7a7d7a4dd763f33f3288dd4904b9e2107d5c29552d50fe930c53a6d2d7dad191f198c4b39ce5ea7732b39a69df77d052734ba0
Homepage: https://cran.r-project.org/package=wildviz
Description: CRAN Package 'wildviz' (Compiles and Visualizes Wildfire, Climate, and Air Quality Data)
 Fetches data from three disparate data sources and allows user to perform
 analyses on them. It offers two core components: 1. A robust data retrieval
 and preparation infrastructure for wildfire, climate, and air quality index
 data and 2. A simple, informative, and interactive visualizations of the
 aforementioned datasets for California counties from 2011 through 2015. The
 sources of data are: wildfire data from Kaggle
 <https://www.kaggle.com/rtatman/188-million-us-wildfires>, climate data from
 the National Oceanic and Atmospheric Administration
 <https://www.ncdc.noaa.gov/cdo-web/token>, and air quality data from the
 Environmental Protection Agency
 <https://aqs.epa.gov/aqsweb/documents/data_api.html>.

Package: r-cran-wilson
Architecture: all
Version: 2.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-data.table, r-cran-ggplot2, r-cran-plotly, r-cran-scales, r-cran-shinydashboard, r-cran-dt, r-cran-colourpicker, r-cran-rcolorbrewer, r-cran-shinyjs, r-cran-viridis, r-cran-rje, r-cran-plyr, r-cran-circlize, r-bioc-complexheatmap, r-cran-gplots, r-cran-reshape, r-cran-rintrojs, r-cran-rjsonio, r-cran-ggrepel, r-bioc-deseq2, r-cran-rjson, r-cran-factominer, r-cran-factoextra, r-cran-heatmaply, r-cran-shinycssloaders, r-cran-log4r, r-cran-openssl, r-cran-r6, r-cran-zip, r-cran-shinywidgets
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-stringi
Filename: pool/dists/focal/main/r-cran-wilson_2.4.2-1.ca2004.1_all.deb
Size: 447192
MD5sum: 4bb5fa9775a4d9fe571cf45e68752c0a
SHA1: 2dc57e7a2ef29f2a385015bd367bc1bd2818be61
SHA256: 83e8d73748ab507e97ea70e8ff4993c3ae40370e5c364f9c51c8aaef68a6fad2
SHA512: 4f3c2fbd2b32491554f87305d8307ce592a4b0c82873b59f5284e40d8ef74a303119b1c86f4a586a368665454293e84840a44a0d24949b92e7a58fb09a4b1ae7
Homepage: https://cran.r-project.org/package=wilson
Description: CRAN Package 'wilson' (Web-Based Interactive Omics Visualization)
 Tool-set of modules for creating web-based applications that use plot based
 strategies to visualize and analyze multi-omics data.  This package utilizes
 the 'shiny' and 'plotly' frameworks to provide a user friendly dashboard for
 interactive plotting.

Package: r-cran-windac
Architecture: all
Version: 1.2.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-sf, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-windac_1.2.10-1.ca2004.1_all.deb
Size: 201360
MD5sum: 5812fa333c6768c27b358df5c3481730
SHA1: 5dbb3fc7e77a8241ccc6fc2b29f1752cb47d93ff
SHA256: 2665ceae7d6de9202575d6854b5673aa08b59c8b3818f177be675028df344ac5
SHA512: a101ef0da894897aecdc87c5325b15886799e7435e50a7fa179b79dd6d7bcfde3b8de24eb400a1467e864d8ddd8ceae389e7e2fa27d56d5518ddc41f34f259e3
Homepage: https://cran.r-project.org/package=windAC
Description: CRAN Package 'windAC' (Area Correction Methods)
 Post-construction fatality monitoring studies at wind facilities are based
 on data from searches for bird and bat carcasses in plots beneath turbines.
 Bird and bat carcasses can fall outside of the search plot. Bird and bat
 carcasses from wind turbines often fall outside of the searched area. To
 compensate, area correction (AC) estimations are calculated to estimate the
 percentage of fatalities that fall within the searched area versus those
 that fall outside of it. This package provides two likelihood based methods
 and one physics based method (Hull and Muir (2010)
 <doi:10.1080/14486563.2010.9725253>, Huso and Dalthorp (2014)
 <doi:10.1002/jwmg.663>) to estimate the carcass fall distribution. There are
 also functions for calculating the proportion of area searched within one
 unit annuli, log logistic distribution functions, and truncated distribution
 functions.

Package: r-cran-windcurves
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 322
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-readbitmap
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-windcurves_0.2-1.ca2004.1_all.deb
Size: 160464
MD5sum: 8c1a5f4562cf6b481302e4c200c5df29
SHA1: c9423b4d0509d73f7327c72461dad122ecb6dfbb
SHA256: 4c4b9f7ecd402e88367d1396c9e7805bdad43a1064f459a6f9a33e35012cae7b
SHA512: 35dad53bc0328f1e5bd0eaac5a1732fc4e037f6844fd91953e1e58b17783da61c8d6e862f0d7a826a0f67b2804f1ebe84fc2ba5bec3ec46f5fe334aa6ceb4dc6
Homepage: https://cran.r-project.org/package=WindCurves
Description: CRAN Package 'WindCurves' (Tool to Fit Wind Turbine Power Curves)
 Provides a tool to fit and compare the wind turbine power curves with
 successful curve fitting techniques. Facilitates to examine and compare the
 performance of a user-defined power curve fitting techniques.  Also, provide
 features to generate power curve discrete points from a graphical power
 curves. Data on the power curves of the wind turbine from major
 manufacturers are provided.

Package: r-cran-windex
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 156
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-phytools, r-cran-geiger, r-cran-ape, r-cran-phangorn, r-cran-scatterplot3d
Filename: pool/dists/focal/main/r-cran-windex_2.1.0-1.ca2004.1_all.deb
Size: 120624
MD5sum: 307dc2b26bf1ed0b24502d9231c685e3
SHA1: eef534a4be0102e265c798b620c607364667e537
SHA256: 2bb3efc08e3852de2fc90178e0388ded16ce03e09face99a6a192678ecc0b325
SHA512: 28873c5f33460964d5b88a02565ee3f69062db637caa570dc09363100567cd3d78696e5ce5ee42cfe38e29fe08ac4b3127432dcbc4d8c7d80e436b41c9f9f583
Homepage: https://cran.r-project.org/package=windex
Description: CRAN Package 'windex' (Analysing Convergent Evolution using the Wheatsheaf Index)
 Analysing convergent evolution using the Wheatsheaf index, described in
 Arbuckle et al. (2014) <doi: 10.1111/2041-210X.12195>, and some other
 unrelated but perhaps useful functions.

Package: r-cran-windows.pls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-mdatools, r-cran-readr, r-cran-stringr, r-cran-tidyr, r-cran-tidyverse
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-windows.pls_0.1.0-1.ca2004.1_all.deb
Size: 354428
MD5sum: 850c92497d63649816fc906ed53bae82
SHA1: a9c481ed663184ed72c0b9687dd9c9f1464ee78d
SHA256: 20e317fbab46836fc566033fee05b0c76671497424b139c771b73455aa8be946
SHA512: 04cfa30524692f1b77373c1700ade882f0cd028d6215c0309e5ed14574065276c7eee3463b53d2cf3beb49ab78b95e407acea2ded6be0d1607edbf5804d1af91
Homepage: https://cran.r-project.org/package=windows.pls
Description: CRAN Package 'windows.pls' (Segmentation Approaches in Chemometrics)
 Evaluation of prediction performance of smaller regions of spectra for
 Chemometrics. Segmentation of spectra, evolving dimensions regions and
 sliding windows as selection methods. Election of the best model among those
 computed based on error metrics. Chen et al.(2017)
 <doi:10.1007/s00216-017-0218-9>.

Package: r-cran-windsorair
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 216
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-tidyr, r-cran-curl
Filename: pool/dists/focal/main/r-cran-windsorair_0.1.2-1.ca2004.1_all.deb
Size: 114740
MD5sum: 6e5861ee3e13e3f52d010911fd262d5f
SHA1: fb3a626a06f646778fe5eb1e633f2801972d51c2
SHA256: 810bdda7e77c62df2e32268dc7611aa65e7c6d345d257d0913c7b22329175dd2
SHA512: 74677a3282d94ce5e710d4abc7a41119baf992e0d98b2d3da78f92d2f5d92f5491c5b7edcfd4af5bff994c50022dd627620b7a8614f742b23ebd481e01c5af82
Homepage: https://cran.r-project.org/package=windsoraiR
Description: CRAN Package 'windsoraiR' (Access the 'Windsor.ai' API)
 Collect multichannel marketing data from sources such as Google analytics,
 Facebook Ads, and many others using the 'Windsor.ai' API
 <https://www.windsor.ai/api-fields/>.

Package: r-cran-wineq
Architecture: all
Version: 1.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 342
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-sampling
Filename: pool/dists/focal/main/r-cran-wineq_1.2.1-1.ca2004.1_all.deb
Size: 240072
MD5sum: cbe034eece04b279bec02502ce504b3c
SHA1: d6c242582237cac9c9a3d64b91dfc7195cbb6882
SHA256: 78ebb6e24fcf768765077fc0c9698c2b7c09c65695b54a95cd3df9e9f83a9b66
SHA512: b383bb3b139b62e7eef1ecb3c70279b1cfbfcf5c1b9f9388ee03171549e1930b6faa3ce7368469a017b81e79abb6526c3b92b274070d21fdfb0b83fe072ddfa5
Homepage: https://cran.r-project.org/package=wINEQ
Description: CRAN Package 'wINEQ' (Inequality Measures for Weighted Data)
 Computes inequality measures of a given variable taking into account
 weights. Suitable for ratio, interval and ordered scale. Includes Gini,
 Theil, Leti index, Palma ratio, 20:20 ratio, Allison and Foster index,
 Jenkins index, Cowell and Flechaire index, Abul Naga and Yalcin index,
 Apouey index, Blair and Lacy index. Bootstrap provides distribution of
 inequality measures enabling significance tests.

Package: r-cran-winfapreader
Architecture: all
Version: 0.1-6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 856
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-utf8, r-cran-rnrfa, r-cran-httr, r-cran-jsonlite, r-cran-curl, r-cran-knitr, r-cran-rmarkdown, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-winfapreader_0.1-6-1.ca2004.1_all.deb
Size: 315436
MD5sum: 8336524c6e52f6417009bef3986eb75c
SHA1: 96e14f56d5daeb210080dc6677534492da9ff804
SHA256: aad69ea193122e8bd16cbe0a4509e7919412d9a155b0422a7df661d7d1bf8376
SHA512: 32ae70ccc24cfc0ac0fea36147c676f31eaf9ceb26157ee81cc6f083959e512d2d62eed6662de51cc02d970e317759a5e7443de5812be556438d9b24d3198211
Homepage: https://cran.r-project.org/package=winfapReader
Description: CRAN Package 'winfapReader' (Interact with Peak Flow Data in the United Kingdom)
 Obtain information on peak flow data from the National River Flow Archive
 (NRFA) in the United Kingdom, either from the Peak Flow Dataset files
 <https://nrfa.ceh.ac.uk/data/peak-flow-dataset> once these have been
 downloaded to the user's computer or using the NRFA's API. These files are
 in a format suitable for direct use in the 'WINFAP' software, hence the name
 of the package.

Package: r-cran-wingen
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1516
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-automap, r-cran-crayon, r-cran-dplyr, r-cran-furrr, r-cran-gdistance, r-cran-ggplot2, r-cran-hierfstat, r-cran-magrittr, r-cran-pegas, r-cran-purrr, r-cran-raster, r-cran-rlang, r-cran-sf, r-cran-terra, r-cran-tidyr, r-cran-tidyselect, r-cran-vcfr, r-cran-viridis
Suggests: r-cran-adegenet, r-cran-covr, r-cran-devtools, r-cran-future, r-cran-knitr, r-cran-mass, r-cran-rmarkdown, r-cran-stringr, r-cran-spatialkde, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wingen_2.1.2-1.ca2004.1_all.deb
Size: 1309528
MD5sum: f30703ae364942687a6a4b53dd6af7a2
SHA1: 5eba15f44236cb528b821f8467416623bc488087
SHA256: eb2379da7bdf07295a8946c123af88c7018cee2421ba9e30ac6f65e9821f49ec
SHA512: 8dfd58bc6ee0b039631b3d2f24b6a40e5a76b5c56704247810d2460cd31335e1d83e173ff96cce25870c4fff26af3c165152a8feb34d425d482a9b4370621845
Homepage: https://cran.r-project.org/package=wingen
Description: CRAN Package 'wingen' (Continuous Mapping of Genetic Diversity)
 Generate continuous maps of genetic diversity using moving windows with
 options for rarefaction, interpolation, and masking as described in Bishop
 et al. (2023) <doi:10.1111/2041-210X.14090>.

Package: r-cran-winr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 126
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rdpack, r-cran-tidyr, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-winr_1.0.0-1.ca2004.1_all.deb
Size: 89508
MD5sum: 6dc52b8a5848221cbbd141a5fcc43be0
SHA1: 979b1161c990b09958dac1dce649647fdddcbda6
SHA256: 08b0b6f420fbe6b005b2a57b60c9bb64b9dd3262fc96ffb9b4cc8b4130474b37
SHA512: 94d95f98aa5fbd831b85666c63cd583abb3066794549cc4eff88da2804de5432ebcd6b0a97c8ed102e949d2e0717c1483e4283d3df1037f2ef82bc3f208bf059
Homepage: https://cran.r-project.org/package=winr
Description: CRAN Package 'winr' (Randomization-Based Covariance Adjustment of Win Statistics)
 A multi-visit clinical trial may collect participant responses on an ordinal
 scale and may utilize a stratified design, such as randomization within
 centers, to assess treatment efficacy across multiple visits. Baseline
 characteristics may be strongly associated with the outcome, and adjustment
 for them can improve power. The win ratio (ignores ties) and the win odds
 (accounts for ties) can be useful when analyzing these types of data from
 randomized controlled trials. This package provides straightforward
 functions for adjustment of the win ratio and win odds for stratification
 and baseline covariates, facilitating the comparison of test and control
 treatments in multi-visit clinical trials. For additional information
 concerning the methodologies and applied examples within this package,
 please refer to the following publications: 1. Weideman, A.M.K., Kowalewski,
 E.K., & Koch, G.G. (2024). “Randomization-based covariance adjustment of win
 ratios and win odds for randomized multi-visit studies with ordinal
 outcomes.” Journal of Statistical Research, 58(1), 33–48.
 <doi:10.3329/jsr.v58i1.75411>.  2. Kowalewski, E.K., Weideman, A.M.K., &
 Koch, G.G. (2023). “SAS macro for randomization-based methods for covariance
 and stratified adjustment of win ratios and win odds for ordinal outcomes.”
 SESUG 2023 Proceedings, Paper 139-2023.

Package: r-cran-winratioanalysis
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-nlme, r-cran-plyr, r-cran-matrix, r-cran-pssm, r-cran-mlecens, r-cran-data.table, r-cran-jm, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-winratioanalysis_0.1.1-1.ca2004.1_all.deb
Size: 93724
MD5sum: 90719916985d7e5ce81a75b6e8784ff6
SHA1: bdf15f3c308b083d037f566f1617768fdae6f154
SHA256: 40544cf37cfb6049a2d91f3b9eac14627e4a6f82d40ba2d3a1bd1260004ee7eb
SHA512: b8c82b5034307219100ab9980a6f86ae2ae46653d632ff06f036a164fd4ed7d65484bab4dacaba427ac202f727ab9bcae21893058e7b0bfc49488370347a2646
Homepage: https://cran.r-project.org/package=winRatioAnalysis
Description: CRAN Package 'winRatioAnalysis' (Estimates the Win-Ratio as a Function of Time)
 Fits a model to data separately for each treatment group and then calculates
 the win-Ratio as a function of follow-up time.

Package: r-cran-wins
Architecture: all
Version: 1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 504
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-copula, r-cran-ggplot2, r-cran-ggpubr, r-cran-reshape2, r-cran-survival, r-cran-stringr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wins_1.5-1.ca2004.1_all.deb
Size: 442584
MD5sum: 58764b3459da597768ce38b7e8dd2d5f
SHA1: 11071a65326d3e50b3275c9815d4ffd453d0cd0e
SHA256: b90d27c06143a698ed560a7047a11373e50cdba7555770973b7478e03b4303a6
SHA512: c637c600a960f86c895052e5fab090d7adcae945ed0400b0b74d8a5c2a5f4deab18314382890b4761321a04fc7b7fe223706323011f2b89f1140c5dbdeed7b57
Homepage: https://cran.r-project.org/package=WINS
Description: CRAN Package 'WINS' (The R WINS Package)
 Calculate the win statistics (win ratio, net benefit and win odds) for
 prioritized multiple endpoints, plot the win statistics and win proportions
 over study time if at least one time-to-event endpoint is analyzed, and
 simulate datasets with dependent endpoints. The package can handle any type
 of outcomes (continuous, ordinal, binary, time-to-event) and allow users to
 perform stratified analysis, inverse probability of censoring weighting
 (IPCW) and inverse probability of treatment weighting (IPTW) analysis.

Package: r-cran-wintime
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-survival
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wintime_0.4.0-1.ca2004.1_all.deb
Size: 208056
MD5sum: c03542ad0d7db165208400f2937b856a
SHA1: 84ae573d04e5a390dd01eaa588e9fc42129caf1f
SHA256: 2720bbfc425d3f85088665c110afa6ba61b5917ecfb386f3b776ff4bd626e3e6
SHA512: 16f310c75cea3e2f2fcc5d8faf561642af692517151a91cc0adc67f82a1f34e642639839a3f23faa57c0fae0b6e1b1ee4a17b7610e75b69e7ff5dce06d13cbe8
Homepage: https://cran.r-project.org/package=wintime
Description: CRAN Package 'wintime' (Win Time Methods for Time-to-Event Data in Clinical Trials)
 Performs an analysis of time-to-event clinical trial data using various "win
 time" methods, including 'ewt', 'ewtr', 'rmt', 'ewtp', 'rewtp', 'ewtpr',
 'rewtpr', 'max', 'wtr', 'rwtr', 'pwt', and 'rpwt'. These methods are used to
 calculate and compare treatment effects on ordered composite endpoints. The
 package handles event times, event indicators, and treatment arm indicators
 and supports calculations on observed and resampled data. Detailed
 explanations of each method and usage examples are provided in "Use of win
 time for ordered composite endpoints in clinical trials," by Troendle et al.
 (2024)<https://pubmed.ncbi.nlm.nih.gov/38417455/>. For more information, see
 the package documentation or the vignette titled "Introduction to wintime."

Package: r-cran-wipf
Architecture: all
Version: 0.1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 79
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wipf_0.1.0-1-1.ca2004.1_all.deb
Size: 48460
MD5sum: ce0c9facec0b23c070d6e4b51fd0ee87
SHA1: 353b35063f8004351fce55785e99109fad73355d
SHA256: 8297cc456cfc3140752fd2b885ea9c13aca68680e5465f9c094e5ff5e5f23f75
SHA512: 219ce345f99ed8e24986c14814f12add23728f5331d018a9a812b3505273825d35c28de59812044dc8d483ef2a8369ce48ec636616a2863c1349da5289a7ded0
Homepage: https://cran.r-project.org/package=WIPF
Description: CRAN Package 'WIPF' (Weighted Iterative Proportional Fitting)
 Implementation of the weighted iterative proportional fitting (WIPF)
 procedure for updating/adjusting a N-dimensional array (currently N<=3)
 given a weight structure and some target marginals.  Acknowledgements: The
 author wish to thank Ministerio de Ciencia, Innovación y Universidades
 (grant PID2021-128228NB-I00) and Fundación Mapfre (grant 'Modelización
 espacial e intra-anual de la mortalidad en España. Una herramienta
 automática para el cálculo de productos de vida') for supporting this
 research.

Package: r-cran-wiqid
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 834
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hdinterval, r-cran-mcmcoutput, r-cran-truncnorm, r-cran-mass, r-cran-coda, r-cran-plotrix
Suggests: r-cran-secr, r-cran-shiny, r-cran-rjags
Filename: pool/dists/focal/main/r-cran-wiqid_0.3.3-1.ca2004.1_all.deb
Size: 632208
MD5sum: 5cb69929b6c3bbdc2e35b7c55192976e
SHA1: 4128415ab503f39bdde11bdddc32f7bba64d3fab
SHA256: 8a1fdc0463ac3a0be5b91eaf709005d146a540b52395949c22f7671055cb2162
SHA512: 55d039419325f3a572435eea0ab3f0bda7c99c8a95431d93411c1172864f494ec6a2fb0a255d100babeb9571de34b4dc373df2b193f7a7a8776b3255961ae9cb
Homepage: https://cran.r-project.org/package=wiqid
Description: CRAN Package 'wiqid' (Quick and Dirty Estimates for Wildlife Populations)
 Provides simple, fast functions for maximum likelihood and Bayesian
 estimates of wildlife population parameters, suitable for use with simulated
 data or bootstraps. Early versions were indeed quick and dirty, but optional
 error-checking routines and meaningful error messages have been added.
 Includes single and multi-season occupancy, closed capture population
 estimation, survival, species richness and distance measures.

Package: r-cran-wisam
Architecture: all
Version: 0.2.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 306
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wisam_0.2.8-1.ca2004.1_all.deb
Size: 254564
MD5sum: e33e3d5fd73a92fd29647c5fe6bf3e00
SHA1: 58923d3132351574bd37dff3fd9a73b648667fc3
SHA256: c219e65fb951929eafcf6b3f5902515c77dc5f475012033423058908ff68c421
SHA512: 3796f31939238b686137929901f46cab910e422fdb1f072b1b553cec20eec84c45ed462dd4259e20139056beddc0e7cd2fb15707c28cef274fcfd0ac8007c692
Homepage: https://cran.r-project.org/package=wISAM
Description: CRAN Package 'wISAM' (Weighted Inbred Strain Association Mapping)
 In the course of a genome-wide association study, the situation often arises
 that some phenotypes are known with greater precision than others.  It could
 be that some individuals are known to harbor more micro-environmental
 variance than others.  In the case of inbred strains of model organisms, it
 could be the case that more organisms were observed from some strains than
 others, so the strains with more organisms have better-estimated means.
 Package 'wISAM' handles this situation by allowing for weighting of each
 observation according to residual variance.  Specifically, the 'weight'
 parameter to the function conduct_scan() takes the precision of each
 observation (one over the variance).

Package: r-cran-wiser
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7241
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-bioc-rgraphviz, r-bioc-rbgl, r-bioc-graph, r-cran-bnlearn, r-cran-hydenet, r-cran-rhandsontable, r-cran-shiny, r-cran-shinydashboard, r-cran-dplyr, r-cran-visnetwork, r-cran-shinywidgets, r-cran-missranger, r-cran-shinyalert, r-cran-shinycssloaders, r-cran-rintrojs, r-cran-arules, r-cran-psych, r-cran-desctools, r-cran-dt, r-cran-linkcomm, r-cran-igraph, r-cran-shinybs
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-rcompanion
Filename: pool/dists/focal/main/r-cran-wiser_1.0.1-1.ca2004.1_all.deb
Size: 4149012
MD5sum: bbbc7909802b144ed0e1042546fe8ac9
SHA1: 8d1f01e55aec1d3ba750ded90348c99a2a6ac84b
SHA256: 511a80f2d267e5469ac44087a891a39a1bfc0374b542bf49529d71f2b8802d1f
SHA512: ac40822b30dc379e96f674aaf8cd4147333efcf60ac2357d352e6105fe7b798d7d4241a7979c46522aa7d11b50d6d5074a521fd7cc2097afa4969e7a957c60a8
Homepage: https://cran.r-project.org/package=wiseR
Description: CRAN Package 'wiseR' (A Shiny Application for End-to-End Bayesian Decision NetworkAnalysis and Web-Deployment)
 A Shiny application for learning Bayesian Decision Networks from data. This
 package can be used for probabilistic reasoning (in the observational
 setting), causal inference (in the presence of interventions) and learning
 policy decisions (in Decision Network setting). Functionalities include
 end-to-end implementations for data-preprocessing, structure-learning, exact
 inference, approximate inference, extending the learned structure to
 Decision Networks and policy optimization using statistically rigorous
 methods such as bootstraps, resampling, ensemble-averaging and
 cross-validation. In addition to Bayesian Decision Networks, it also
 features correlation networks, community-detection, graph visualizations,
 graph exports and web-deployment of the learned models as Shiny dashboards.

Package: r-cran-wishmom
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 292
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-roxygen2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wishmom_1.1.0-1.ca2004.1_all.deb
Size: 103664
MD5sum: 0656579ab4d227cefc9c9bbd2f812750
SHA1: 0263ef15a5f091e59cea01d63c66c15a981e9dbd
SHA256: 40976bc39b2ce05371afd637e832e3066cd0f870fc8dd230fa40775c71e12170
SHA512: 31336a1cc2a5b05daf748249d79a6605b559591dc57f70f4fd6e35d9803fafa6a2f099894f1e6b190e43346377dcb3ab256fbedb7f231166a92abaf3bcc86410
Homepage: https://cran.r-project.org/package=wishmom
Description: CRAN Package 'wishmom' (Compute Moments Related to Beta-Wishart and Inverse Beta-WishartDistributions)
 Provides functions for computing moments and coefficients related to the
 Beta-Wishart and Inverse Beta-Wishart distributions.  It includes functions
 for calculating the expectation of matrix-valued functions of the
 Beta-Wishart distribution, coefficient matrices C_k and H_k, expectation of
 matrix-valued functions of the inverse Beta-Wishart distribution, and
 coefficient matrices \tilde{C}_k and \tilde{H}_k. For more details, refer
 Hillier and Kan (2024)
 <https://www-2.rotman.utoronto.ca/~kan/papers/wishmom.pdf>, "On the
 Expectations of Equivariant Matrix-valued Functions of Wishart and Inverse
 Wishart Matrices".

Package: r-cran-withdots
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 51
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-rlang
Filename: pool/dists/focal/main/r-cran-withdots_0.1.1-1.ca2004.1_all.deb
Size: 18224
MD5sum: 6e4d614c18e78c849744822d41a29c75
SHA1: 22b79c8246903f93fd74dc2267f93c67b5be7fc2
SHA256: b1ede3f86737f22b1b7289f65d84aa4ca3aa3c404549619ce384ec31c6297c41
SHA512: f7fb37c5050f1453ff9183f1f3bb34471185e1a957c11d08d7b64029fc927383ad04592f72dc08f9c161d073fc2ef943c10e1d074b1a1e40f60c57fc3cde0527
Homepage: https://cran.r-project.org/package=withdots
Description: CRAN Package 'withdots' (Put ... in a Function's Argument List)
 Adds ... to a function's argument list so that it can tolerate non-matching
 arguments.

Package: r-cran-wither
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-fs, r-cran-here, r-cran-withr
Suggests: r-cran-devtools, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wither_0.1.0-1.ca2004.1_all.deb
Size: 15100
MD5sum: 38dfb08e9a5fcc7c55b392d6323cc8db
SHA1: 5e957be94f7010908595a98cfcf386f96abd6ded
SHA256: e95d0c351539ff87f50be9c0137488a1d379706bb831deca224e712b1fc3e669
SHA512: 70ef99efb3087351a6d9e62aa4f04a54e61ff03228e3ca34825818b9066e2c3c124ed466d690487bfaf62ad4d9ebae28520dca46a572f7f073868c897473ab10
Homepage: https://cran.r-project.org/package=wither
Description: CRAN Package 'wither' (Temporarily Change Project Root)
 Lets you temporarily execute an expression or a local block with a different
 here() root in the 'here' package. This is useful for sourcing code in other
 projects which expect the root directory of here() to be the project
 directory of those projects. This may be the case with git submodules for
 example.

Package: r-cran-withr
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 333
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-callr, r-cran-dbi, r-cran-knitr, r-cran-rlang, r-cran-rmarkdown, r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-withr_3.0.2-1.ca2004.1_all.deb
Size: 212960
MD5sum: ae4380b121b019cad024fba07876c3cd
SHA1: 18a35938f27e0fb41ae143c4edc3d59328a33937
SHA256: 0c43f57bc44cb22bfc4e1e399c56882d7c29a84daca2867e8cb1e03ffc8ea4c2
SHA512: 95eccbc831a94f10ba659f7ac2e705aa9b7c39ce828477bc508b470947a82896a70130278b898a38128c91101e1d3e7e57d0787a0d75559385546f4affb664f2
Homepage: https://cran.r-project.org/package=withr
Description: CRAN Package 'withr' (Run Code 'With' Temporarily Modified Global State)
 A set of functions to run code 'with' safely and temporarily modified global
 state. Many of these functions were originally a part of the 'devtools'
 package, this provides a simple package with limited dependencies to provide
 access to these functions.

Package: r-cran-wizardry
Architecture: all
Version: 0.2.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-beepr, r-cran-cli, r-cran-config, r-cran-dplyr, r-cran-future, r-cran-future.apply, r-cran-haven, r-cran-httr, r-cran-jsonlite, r-cran-knitr, r-cran-mongolite, r-cran-qualtrics, r-cran-r6, r-cran-redcapr, r-cran-rlang, r-cran-stringdist, r-cran-testthat, r-cran-rstudioapi, r-cran-lubridate
Suggests: r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wizardry_0.2.6-1.ca2004.1_all.deb
Size: 454072
MD5sum: 81bf3031bb78b99888aaa8ea1a05bb5a
SHA1: 56703fd2299d74105a8970b94f25206d73a48753
SHA256: 0b28761f5a85587458c55ad978f2d8bd4449955525350001d24c11c11ecdf30f
SHA512: 84cb7ae10c034d2275cfd5bf481c8713c8833bfc5ed9c5dbcddebddf1a78c629cf012b78e4eba58b263811bd7ced801c411db2939893c8641990eff6ef17e41b
Homepage: https://cran.r-project.org/package=wizaRdry
Description: CRAN Package 'wizaRdry' (A Magical Framework for Collaborative & Reproducible DataAnalysis)
 A comprehensive data analysis framework for NIH-funded research that
 streamlines workflows for both data cleaning and preparing NIH Data Archive
 ('NDA') submission templates. Provides unified access to multiple data
 sources ('REDCap', 'MongoDB', 'Qualtrics') through interfaces to their APIs,
 with specialized functions for data cleaning, filtering, merging, and
 parsing. Features automatic validation, field harmonization, and
 memory-aware processing to enhance reproducibility in multi-site
 collaborative research as described in Mittal et al. (2021)
 <doi:10.20900/jpbs.20210011>.

Package: r-cran-wkb
Architecture: all
Version: 0.4-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 93
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wkb_0.4-0-1.ca2004.1_all.deb
Size: 62852
MD5sum: f45430f48b53527aadb8179b641aa811
SHA1: 387ac7ad24f53dcaa17da840e7d38399abe61c59
SHA256: aa0c81261f2d2d15ded23d9d3ff6ffc25d9005f0e2c1048d9dae698076dc58f7
SHA512: 3d49ecfe255b023359d751794af483a9c0b544a94acfc13af5e6fa5874f448acd045643622251195e4570a43f3a9dc3101cc60014ca17048e5ffe7303f1d2847
Homepage: https://cran.r-project.org/package=wkb
Description: CRAN Package 'wkb' (Convert Between Spatial Objects and Well-Known Binary Geometry)
 Utility functions to convert between the 'Spatial' classes specified by the
 package 'sp', and the well-known binary '(WKB)' representation for geometry
 specified by the 'Open Geospatial Consortium'.  Supports 'Spatial' objects
 of class 'SpatialPoints', 'SpatialPointsDataFrame', 'SpatialLines',
 'SpatialLinesDataFrame', 'SpatialPolygons', and 'SpatialPolygonsDataFrame'.
 Supports 'WKB' geometry types 'Point', 'LineString', 'Polygon',
 'MultiPoint', 'MultiLineString', and 'MultiPolygon'. Includes extensions to
 enable creation of maps with 'TIBCO Spotfire'.

Package: r-cran-wknnmi
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 102
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-infotheo, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-wknnmi_1.0.0-1.ca2004.1_all.deb
Size: 68784
MD5sum: 8604df7388978d53cc859ce38df0b5f9
SHA1: e5db8577e836ed619694bf2fd97e68a3d8a534cf
SHA256: 9ee7649d43ef5101c0459f7657327174b021af503bf4c81735b428f7a5a58e64
SHA512: 9a514366f59eafe5cfd8b9b7c7ce1a652e49436d54be1ffacc455da56fdf33fabba073ff615f76bc693b2461a35f50767302881ed958258383a080e62ed84da6
Homepage: https://cran.r-project.org/package=wkNNMI
Description: CRAN Package 'wkNNMI' (A Mutual Information-Weighted k-NN Imputation Algorithm)
 Implementation of an adaptive weighted k-nearest neighbours (wk-NN)
 imputation algorithm for clinical register data developed to explicitly
 handle missing values of continuous/ordinal/categorical and static/dynamic
 features conjointly. For each subject with missing data to be imputed, the
 method creates a feature vector constituted by the information collected
 over his/her first 'window_size' time units of visits. This vector is used
 as sample in a k-nearest neighbours procedure, in order to select, among the
 other patients, the ones with the most similar temporal evolution of the
 disease over time. An ad hoc similarity metric was implemented for the
 sample comparison, capable of handling the different nature of the data, the
 presence of multiple missing values and include the cross-information among
 features.

Package: r-cran-wktmo
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wktmo_1.0.5-1.ca2004.1_all.deb
Size: 39916
MD5sum: afbe805c1d1315d10253c9ab7373dc5f
SHA1: 2bc56a44cafb955d32ab283f5903de3dc8702bd1
SHA256: 58786633439487ae147b4b032467b10af632eaaf0efa50ebe38ccf696eb3c50b
SHA512: e497b5806a06d346604e42e3d851a3538d502d3919ad743b33a47cf17251dba163f79ae7ba5be735cbf7bdaef33c730e3428e32498cdf3948d34858811580522
Homepage: https://cran.r-project.org/package=wktmo
Description: CRAN Package 'wktmo' (Converting Weekly Data to Monthly Data)
 Converts weekly data to monthly data.  Users can use three types of week
 formats: ISO week, epidemiology week (epi week) and calendar date.

Package: r-cran-wlasso
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 194
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-genlasso, r-cran-tibble, r-cran-mass, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-wlasso_1.0-1.ca2004.1_all.deb
Size: 134284
MD5sum: 19fb9b1e2802421bc4f9ac46344f1b6f
SHA1: 0be312eb58456c635f617ca94c39270c84adbdf3
SHA256: 01440d3df935f1262044967bb933b1c6b4b11f4e47f4ceb813aa88aa10056770
SHA512: e7084e5b65abff71810d9aea4e37e688ee35405b584d49833f5607f4b9e99c0a76ce866f1e352569e5b8cfa586885f8b313373ce139857be46e785ab7592e113
Homepage: https://cran.r-project.org/package=WLasso
Description: CRAN Package 'WLasso' (Variable Selection for Highly Correlated Predictors)
 It proposes a novel variable selection approach taking into account the
 correlations that may exist between the predictors of the design matrix in a
 high-dimensional linear model. Our approach consists in rewriting the
 initial high-dimensional linear model to remove the correlation between the
 predictors and in applying the generalized Lasso criterion. For further
 details we refer the reader to the paper <arXiv:2007.10768> (Zhu et al.,
 2020).

Package: r-cran-wlinfer
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 142
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-lindleyr, r-cran-pracma, r-cran-boot, r-cran-nleqslv, r-cran-goftest, r-cran-cubature, r-cran-bbmle
Filename: pool/dists/focal/main/r-cran-wlinfer_1.2.0-1.ca2004.1_all.deb
Size: 110136
MD5sum: 26dd31bb4c9bf9b3c7750bc678ce9df9
SHA1: cb015326dd0736e52d67d8544a762ebe6f436f6b
SHA256: e883cd7095ba2b2c700899dc6f46f525535554be43d53690ef2d442079816a5f
SHA512: e53d5aeb0e7b4b610285411d7493f5dd6ac1fc2167321dce53888038f26ac432254e1e75adbb298c79ae3ec2f7c74095040a4175a331e6d9214fe72362707bd3
Homepage: https://cran.r-project.org/package=WLinfer
Description: CRAN Package 'WLinfer' (Statistical Inference in Weighted Lindley Distribution)
 Estimate the parameters of weighted Lindley distribution, and provide some
 useful results like goodness of fit or confidence interval etc.  Ghitany,
 M., Alqallaf, F., Al-Mutairi, D., Husain, H. (2011)
 <doi:10.1016/j.matcom.2010.11.005>.  Hyoung-Moon Kim. and Yu-Hyeong Jang.
 (2021) <doi:10.1007/s42952-020-00097-y>.  Wang, M., Wang, W. (2017)
 <doi:10.1080/03610918.2014.970696>.

Package: r-cran-wlogit
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 788
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-cvcovest, r-cran-genlasso, r-cran-tibble, r-cran-mass, r-cran-ggplot2, r-cran-matrix, r-cran-glmnet, r-cran-corpcor
Suggests: r-cran-knitr
Filename: pool/dists/focal/main/r-cran-wlogit_2.1-1.ca2004.1_all.deb
Size: 748936
MD5sum: d1abcc4b0a4f1232a930c1f0ab55a142
SHA1: 1405599ee987dc683311257fbd132d266a6fc521
SHA256: 47ccca70e82d722e62b12640372f31a56b4fe80d147dae9ecf588af2a20fb96e
SHA512: 5ae57ca330ed7bcbd4e23b2e1cada6f214bb2143f7743efbda33023a10747cf7b2c9f1209912fe1ab0b3a42fbdf9404c4f129d13095787f47cc3f5e016e89c38
Homepage: https://cran.r-project.org/package=WLogit
Description: CRAN Package 'WLogit' (Variable Selection in High-Dimensional Logistic RegressionModels using a Whitening Approach)
 It proposes a novel variable selection approach in classification problem
 that takes into account the correlations that may exist between the
 predictors of the design matrix in a high-dimensional logistic model. Our
 approach consists in rewriting the initial high-dimensional logistic model
 to remove the correlation between the predictors and in applying the
 generalized Lasso criterion.

Package: r-cran-wmap
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 219
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-pkgcond, r-cran-ggplot2, r-cran-zeallot, r-cran-caret, r-cran-randomforest, r-cran-forcats
Filename: pool/dists/focal/main/r-cran-wmap_1.2.0-1.ca2004.1_all.deb
Size: 132796
MD5sum: a5f4127ebd01fe6cea3d47a541df2ae6
SHA1: bcb94ef025492f2c66e3630dbdf84bacdf8d9afd
SHA256: d3c851b62d5428e5e5a2524be79528246933f26fcfe5f36e6db696ba73c2eef2
SHA512: 57b1fac353e42b83e23e783a2b21844a807f9bcda5554c79838d20695c19d6aa23fe64b50da64bcd85a8c362c4d57972026586e6c299518aedc56c5ba906fd94
Homepage: https://cran.r-project.org/package=WMAP
Description: CRAN Package 'WMAP' (Weighted Meta-Analysis with Pseudo-Populations)
 Implementation of integrative weighting approaches for multiple
 observational studies and causal inferences. The package features three
 weighting approaches, each representing a special case of the unified
 weighting framework, introduced by Guha and Li (2024)
 <doi:10.1093/biomtc/ujae070>, which includes an extension of inverse
 probability weights for data integration settings.

Package: r-cran-wmdb
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wmdb_1.0-1.ca2004.1_all.deb
Size: 26648
MD5sum: 6d5b4ba8f008f56b11fe9ae9526fffb4
SHA1: 210372e34165c9ec208ab8540bc00120ab10ea19
SHA256: a91519889bc0f7d092faf5e7f0ac161f56944a4e9d887a0232d6c4341d4792a9
SHA512: c36a2ed074eb623512c52da4af61a3d88f2066fe5916e051113255f74d699fde950e4ae84918eda9867d35bec648d29b0960dcd0bbc7774f41064264dd61e886
Homepage: https://cran.r-project.org/package=WMDB
Description: CRAN Package 'WMDB' (Discriminant Analysis Methods by Weight Mahalanobis Distance andbayes)
 Distance discriminant analysis method is one of classification methods
 according to multiindex performance parameters.However,the traditional
 Mahalanobis distance discriminant method treats with the importance of all
 parameters equally,and exaggerates the role of parameters which changes a
 little.The weighted Mahalanobis distance is used in discriminant analysis
 method to distinguish the importance of each parameter.In the concrete
 application,firstly based on the principal component analysis scheme,a new
 group of parameters and their corresponding percent contributions of the
 parameters are calculated ,and the weighted matrix is regarded as the
 diagonal matrix of the contributions rates.Setting data to
 standardization,then the weighted Mahalanobis distance can be
 calculated.Besides the methods metioned above,bayes method is also given.

Package: r-cran-wmlf
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 618
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-waveslim
Filename: pool/dists/focal/main/r-cran-wmlf_0.1.2-1.ca2004.1_all.deb
Size: 587464
MD5sum: 00062a001c2c67b809abac2be715d94f
SHA1: 7b7ee831948e87e219edc784ddd8f8c36840e664
SHA256: 56bc52a1838c240e1e2abc20527d151d0ea3ae4af7a382a3f201c0f3215c5248
SHA512: 0c1f6ca4254e8b087edd7c90621bf9974c6d502e70a326668bd9cd63475287677b7fab3cd883890fbb56f8fd03aee4d66b8bdbd0d0080e003f0430d79ecfa721
Homepage: https://cran.r-project.org/package=wmlf
Description: CRAN Package 'wmlf' (Wavelet Leaders in Multifractal Analysis)
 Analyzing the texture of an image from a multifractal wavelet leader
 analysis.

Package: r-cran-wmm
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 111
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-wmm_1.1.1-1.ca2004.1_all.deb
Size: 67616
MD5sum: 87c80ab9483de991d9ddfbc735a8d2c2
SHA1: 62f2fe6dfb38e876cba3da7ac19c87e3cb68776f
SHA256: ce25b935cab2539cd5ad8aa3f026e5d35235c3d3b36be80ad75b2b5958611efe
SHA512: a6d6702d519dfda59401d4e975814ffc4d37836b6b8edaa4743f60c3848fa6f6b4e257696f241ca54576fc3002545c1b632db344b205cafdf9d240017fb65693
Homepage: https://cran.r-project.org/package=wmm
Description: CRAN Package 'wmm' (World Magnetic Model)
 Calculate magnetic field at a given location and time according to the World
 Magnetic Model (WMM). Both the main field and secular variation components
 are returned. This functionality is useful for physicists and geophysicists
 who need orthogonal components from WMM. Currently, this package supports
 annualized time inputs between 2000 and 2025. If desired, users can specify
 which WMM version to use, e.g., the original WMM2015 release or the recent
 out-of-cycle WMM2015 release. Methods used to implement WMM, including the
 Gauss coefficients for each release, are described in the following
 publications: Chulliat et al (2020) <doi:10.25923/ytk1-yx35>, Chulliat et al
 (2019) <doi:10.25921/xhr3-0t19>, Chulliat et al (2015)
 <doi:10.7289/V5TB14V7>, Maus et al (2010)
 <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/WMM2010_Report.pdf>,
 McLean et al (2004)
 <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/TRWMM_2005.pdf>, and
 Macmillian et al (2000)
 <https://www.ngdc.noaa.gov/geomag/WMM/data/WMMReports/wmm2000.pdf>.

Package: r-cran-wmwm
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 61
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wmwm_1.0.0-1.ca2004.1_all.deb
Size: 30372
MD5sum: 1f1bd1788c128788020acb44653c525a
SHA1: 843418ee977a1f1bb3e34e004601a786ad9d45e9
SHA256: 920550b454d6b8e5d956fa19d162c4a5e4cde52640658df83412011996bc11cf
SHA512: f4aaf918aa4c0a11f9448091343a0b4d7b8b1422325bf8d85bad2867844c6358b52ec5830f53da5b679eeba591f325ae92ba93a734c8dc1e85b49e481ec5cdd0
Homepage: https://cran.r-project.org/package=wmwm
Description: CRAN Package 'wmwm' (Performs Wilcoxon-Mann-Whitney Test with Missing Data)
 Performs Wilcoxon-Mann-Whitney test in the presence of missing data with
 controlled Type I error regardless of the values of missing data.

Package: r-cran-wmwpow
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lamw, r-cran-smoothmest, r-cran-mass
Filename: pool/dists/focal/main/r-cran-wmwpow_0.1.3-1.ca2004.1_all.deb
Size: 35884
MD5sum: a40f118eba041a40b7843ff9725d28bf
SHA1: fd5165dfccbb42e8bde7190dc22891911a9bce06
SHA256: be42e72528007b2b026d59ee0a2d6f4e3f22eeb79bfa984a5a1b65c4167604ef
SHA512: 52457d37084742742d9f48f57e222a5433828831deda04aa5b0dbacca2e47fc05ae92a15e1a1be5523b2046baef9a243f471e5c3f256689f031dd5f6b6d4e864
Homepage: https://cran.r-project.org/package=wmwpow
Description: CRAN Package 'wmwpow' (Precise and Accurate Power of the Wilcoxon-Mann-Whitney Rank-SumTest for a Continuous Variable)
 Power calculator for the two-sample Wilcoxon-Mann-Whitney rank-sum test for
 a continuous outcome (Mollan, Trumble, Reifeis et. al., Mar. 2020)
 <doi:10.1080/10543406.2020.1730866> <arXiv:1901.04597>, (Mann and Whitney
 1947) <doi:10.1214/aoms/1177730491>, (Shieh, Jan, and Randles 2006)
 <doi:10.1080/10485250500473099>.

Package: r-cran-wmwssp
Architecture: all
Version: 0.5.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wmwssp_0.5.3-1.ca2004.1_all.deb
Size: 43748
MD5sum: c7886420286732d5f1cde084d41e1484
SHA1: 7a6b0ddcd77d8d3459f03d3b7f2384348bfe6940
SHA256: 45fc96e2c05016d4adc96678289151c23db65916a860cc87d19eee69f047516f
SHA512: 98047fa9bfd60b6b1815b6ced4c14c91566184603c6a3f3749a6d7eb8c479949f628612e7189b9766bf7be3525ff707f2aca155723bc7ba99a39929110bcce51
Homepage: https://cran.r-project.org/package=WMWssp
Description: CRAN Package 'WMWssp' (Wilcoxon-Mann-Whitney Sample Size Planning)
 Calculates the minimal sample size for the Wilcoxon-Mann-Whitney test that
 is needed for a given power and two sided type I error rate. The method
 works for metric data with and without ties, count data, ordered categorical
 data, and even dichotomous data.  But data is needed for the reference group
 to generate synthetic data for the treatment group based on a relevant
 effect.  See Happ et al. (2019, <doi:10.1002/sim.7983>) for details.

Package: r-cran-wnl
Architecture: all
Version: 0.8.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 243
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numderiv
Filename: pool/dists/focal/main/r-cran-wnl_0.8.3-1.ca2004.1_all.deb
Size: 200516
MD5sum: 501c23eeeea8614ffd5fd9e6eabb0c7c
SHA1: 9798a2f74b04607710ea4ecc0ba7c5983a5b0135
SHA256: d6831fe488016e6c7291d339ff6ab5bab9207a7cc1a679edeff5048f9a079e28
SHA512: 25ba46d369e93a1d8e70867bdfde338113109ef67523e06549d0ce53ffcd98d18ccb10876da4f17e37141b55cb978fdb88743b48e7e6d9c1f2623709da09a116
Homepage: https://cran.r-project.org/package=wnl
Description: CRAN Package 'wnl' (Minimization Tool for Pharmacokinetic-Pharmacodynamic DataAnalysis)
 This is a set of minimization tools (maximum likelihood estimation and least
 square fitting) to solve examples in the Johan Gabrielsson and Dan Weiner's
 book "Pharmacokinetic and Pharmacodynamic Data Analysis - Concepts and
 Applications" 5th ed. (ISBN:9198299107). Examples include linear and
 nonlinear compartmental model, turn-over model, single or multiple dosing
 bolus/infusion/oral models, allometry, toxicokinetics, reversible
 metabolism, in-vitro/in-vivo extrapolation, enterohepatic circulation,
 metabolite modeling, Emax model, inhibitory model, tolerance model,
 oscillating response model, enantiomer interaction model, effect compartment
 model, drug-drug interaction model, receptor occupancy model, and rebound
 phenomena model.

Package: r-cran-wnnsel
Architecture: all
Version: 0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 96
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wnnsel_0.1-1.ca2004.1_all.deb
Size: 66824
MD5sum: 506c21d484420f553f156933fec7fe72
SHA1: eaf6388f406a1af80890a58046857f870df4cc2f
SHA256: 68998cb82a822a1dd900e16243ca73073ae43247ba6ea32f38b213d7affafaf4
SHA512: 4184d71fb176f6e4e401e83d0ac40e05c4730eb54f6f84ffbc7962dcb3ee25102519ebe9a6a0c183c2f4852d6999aae31cfa931e14ecd662c8caeeb1bab44245
Homepage: https://cran.r-project.org/package=wNNSel
Description: CRAN Package 'wNNSel' (Weighted Nearest Neighbor Imputation of Missing Values usingSelected Variables)
 New tools for the imputation of missing values in high-dimensional data are
 introduced using the non-parametric nearest neighbor methods. It includes
 weighted nearest neighbor imputation methods that use specific distances for
 selected variables. It includes an automatic procedure of cross validation
 and does not require prespecified values of the tuning parameters.  It can
 be used to impute missing values in high-dimensional data when the sample
 size is smaller than the number of predictors. For more information see
 Faisal and Tutz (2017) <doi:10.1515/sagmb-2015-0098>.

Package: r-cran-wodds
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 182
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-tibble, r-cran-glue, r-cran-purrr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wodds_0.1.0-1.ca2004.1_all.deb
Size: 126420
MD5sum: 56babf800756794f735e20867fb4c649
SHA1: 9353f8670f66365e047b35b3d7c9ccc832712f83
SHA256: 6ae95acc65791e8fbafad8225191ea8a279174b59ea47700ec261feaff5c4d3b
SHA512: 589410b02eb1877cb444f6b18ca1b08880c6cacbfa65703872aa3f6e1c48a7bc952f98e71c2a26e55dd9b2baab47c037fc985694897b73a571f489f9d1e2ba8a
Homepage: https://cran.r-project.org/package=wodds
Description: CRAN Package 'wodds' (Calculates Whisker Odds)
 Descriptive statistics for large data tend to be low resolution on the
 tails.  Whisker Odds generate a table of descriptive statistics for large
 data. This is the same as letter-values, but with an alternative naming of
 depths which allow for depths beyond 26. For a reference to letter-values
 see 'Heike Hofmann' and 'Hadley Wickham' and 'Karen Kafadar' (2017)
 <doi:10.1080/10618600.2017.1305277>.

Package: r-cran-woe
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-woe_0.2-1.ca2004.1_all.deb
Size: 20520
MD5sum: f4d1611073c6db2fd532d9363e584707
SHA1: 025ec52086cfc3393310efc5a432ee88b15b3ea0
SHA256: aff7479e8a3e6dae0bd4efa0550cc68128c2669cfeb92db3379e16221e72db52
SHA512: 559fce357d3ce1161994e8a1af1a41d8c071ef81c3f605f51d5c2eab3f2e94f53377d0aa3c5a615a8aca81cdd8a5cf248ffdcdd10103b91631498e017d5579db
Homepage: https://cran.r-project.org/package=woe
Description: CRAN Package 'woe' (Computes Weight of Evidence and Information Values)
 Shows the relationship between an independent and dependent variable through
 Weight of Evidence and Information Value.

Package: r-cran-woebinning
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-woebinning_0.1.6-1.ca2004.1_all.deb
Size: 119776
MD5sum: 2e6398d67a5e15c06f1b218fdd177673
SHA1: fb5267d48759d5fdeecc747f4ecbd04aab198e72
SHA256: e792a11626d9d283e2b7ad70185dc23b6e6758277c6e15f747904be8100a237e
SHA512: 5294b7466a14dce99e6c1672a74a924b9c35697f73b290a1e211abb3e273c37937bbdb57b3aadcb5c7a6ef35e1f948f0a1c9cb216dbb8fdb132ae9c838bb05c7
Homepage: https://cran.r-project.org/package=woeBinning
Description: CRAN Package 'woeBinning' (Supervised Weight of Evidence Binning of Numeric Variables andFactors)
 Implements an automated binning of numeric variables and factors with
 respect to a dichotomous target variable.  Two approaches are provided: An
 implementation of fine and coarse classing that merges granular classes and
 levels step by step. And a tree-like approach that iteratively segments the
 initial bins via binary splits. Both procedures merge, respectively split,
 bins based on similar weight of evidence (WOE) values and stop via an
 information value (IV) based criteria.  The package can be used with single
 variables or an entire data frame. It provides flexible tools for exploring
 different binning solutions and for deploying them to (new) data.

Package: r-cran-woodburymatrix
Architecture: all
Version: 0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 297
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-matrix
Suggests: r-cran-covr, r-cran-lintr, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-woodburymatrix_0.0.3-1.ca2004.1_all.deb
Size: 166904
MD5sum: a38c26911f4ebefff2a9223a8e662ce5
SHA1: 67d482a556c478761c6efaea5bfb42e9316c6aa5
SHA256: 7e3858c46316d4cdd2c9191ac56186e87da0080063f191c12d28678ea56f8473
SHA512: 9578ecc0d360138237ed8daf67bacc8ccf1d4591c99254ba7bb428daddfecde3ad88a6c1f81b26909bce68b80126709b92a3bb9137795248878537dff0915198
Homepage: https://cran.r-project.org/package=WoodburyMatrix
Description: CRAN Package 'WoodburyMatrix' (Fast Matrix Operations via the Woodbury Matrix Identity)
 A hierarchy of classes and methods for manipulating matrices formed
 implicitly from the sums of the inverses of other matrices, a situation
 commonly encountered in spatial statistics and related fields. Enables easy
 use of the Woodbury matrix identity and the matrix determinant lemma to
 allow computation (e.g., solving linear systems) without having to form the
 actual matrix. More information on the underlying linear algebra can be
 found in Harville, D. A. (1997) <doi:10.1007/b98818>.

Package: r-cran-woodendesc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 253
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-digest, r-cran-httr, r-cran-versionsort
Suggests: r-cran-covr, r-cran-httptest, r-cran-testthat, r-cran-usethis, r-cran-vcr, r-cran-withr, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-woodendesc_0.1.0-1.ca2004.1_all.deb
Size: 208948
MD5sum: cb36c3fff587ad7e254da64a25b98a89
SHA1: 4de030d7af405e7f56dd979ef2c75f93fdba5ada
SHA256: b8d99917cc0b6905605aef92c1f360e983f7fcb8f15f2da0f97356a749338be4
SHA512: 780f138898c673f6005779cc8ebc400cf8e21082ffc00fcf0120ed586e5f8158bbe9d6fab3bc09c7cea0c3c5fd9d1d8f1ac02377a9c181de49ff1143e42edbe2
Homepage: https://cran.r-project.org/package=woodendesc
Description: CRAN Package 'woodendesc' (Find Packages and Their Dependencies in Any 'R' Repository)
 Simplifies getting the available packages, their version codes and
 dependencies from any 'R' repository. Uses extensive caching for repeated
 queries.

Package: r-cran-woodsimulatr
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 364
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-rlang, r-cran-purrr, r-cran-tibble, r-cran-tidyselect, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-magrittr, r-cran-pander, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-utf8
Filename: pool/dists/focal/main/r-cran-woodsimulatr_0.6.2-1.ca2004.1_all.deb
Size: 187980
MD5sum: 3fa40b0085369a74de3c9e388a93bda9
SHA1: a3eac66c33f457bac7761432221902131c5f03b8
SHA256: b2f4fa23b12cfda7b02b06a61264e284cb42cb62e0aed8d7866e9c9ee53dc06b
SHA512: b3db1bf3597e64520082ec4f208e91c3b61d0c83a03794b8cdf2a9560048c5cca6df0f1c84057ff1146c8377f63130af3abe7f75e514f7a4a9080dbe13b4304c
Homepage: https://cran.r-project.org/package=WoodSimulatR
Description: CRAN Package 'WoodSimulatR' (Generate Simulated Sawn Timber Strength Grading Data)
 Tools for generating simulated sawn timber strength grading data with a main
 focus on statistical simulation based on covariance matrices. Simulation
 data for Norway spruce sawn timber from Austria and reference values of
 means and standard deviations of grade determining properties from
 literature for a number of European countries are provided, as well.

Package: r-cran-woodvaluationde
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 128
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-woodvaluationde_1.0.2-1.ca2004.1_all.deb
Size: 95444
MD5sum: 28214f54d6e3b0a83aad85b018470c3f
SHA1: 08f0b25af76b66e8004de959a03c8b2954c4db9f
SHA256: a756877d0773203253348fe70bc37444cdc222e9760ab46600452965f2f9a8e6
SHA512: 8486632ad4ad8d7f74632abd9f47545ae1e0bb197ffaae0d099c3e3e5e8824ee2a8a4a3ce4d0a59a85384f5b34beb62ff5315bcf6cf12668641b31531ca4ac82
Homepage: https://cran.r-project.org/package=woodValuationDE
Description: CRAN Package 'woodValuationDE' (Wood Valuation Germany)
 Monetary valuation of wood in German forests (stumpage values), including
 estimations of harvest quantities, wood revenues, and harvest costs. The
 functions are sensitive to tree species, mean diameter of the harvested
 trees, stand quality, and logging method. The functions include estimations
 for the consequences of disturbances on revenues and costs. The underlying
 assortment tables are taken from Offer and Staupendahl (2018) with
 corresponding functions for salable and skidded volume derived in Fuchs et
 al. (2023). Wood revenue and harvest cost functions were taken from v.
 Bodelschwingh (2018). The consequences of disturbances refer to Dieter
 (2001), Moellmann and Moehring (2017), and Fuchs et al. (2022a, 2022b). For
 the full references see documentation of the functions, package README, and
 Fuchs et al. (2023). Apart from Dieter (2001) and Moellmann and Moehring
 (2017), all functions and factors are based on data from HessenForst, the
 forest administration of the Federal State of Hesse in Germany.

Package: r-cran-wooldridge
Architecture: all
Version: 1.4-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4331
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-stargazer, r-cran-tinytest, r-cran-xts, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-wooldridge_1.4-4-1.ca2004.1_all.deb
Size: 4187200
MD5sum: 45bccc0c2798e92d110b2b43a916ef6f
SHA1: 1361d964e898eda6941a26cf9ac8a935ef8e1948
SHA256: c26aef64ebc99fbc3a1f7c1a422bf5c15223898318cf24eabd7107c5586916ed
SHA512: 0811d1325ad7c62d7c65a92ad66bc78e00c71e4ca4880700308305c846bafb06b7309e669afe80a823c7c996d8bb55b078994a9dd0b4585217a87c640f2e35bb
Homepage: https://cran.r-project.org/package=wooldridge
Description: CRAN Package 'wooldridge' (115 Data Sets from "Introductory Econometrics: A ModernApproach, 7e" by Jeffrey M. Wooldridge)
 Students learning both econometrics and R may find the introduction to both
 challenging. The wooldridge data package aims to lighten the task by
 efficiently loading any data set found in the text with a single command.
 Data sets have been compressed to a fraction of their original size.
 Documentation files contain page numbers, the original source, time of
 publication, and notes from the author suggesting avenues for further
 analysis and research. If one needs an introduction to R model syntax, a
 vignette contains solutions to examples from chapters of the text.  Data
 sets are from the 7th edition (Wooldridge 2020, ISBN-13 978-1-337-55886-0),
 and are backwards compatible with all previous versions of the text.

Package: r-cran-worcs
Architecture: all
Version: 0.1.18-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1672
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rmarkdown, r-cran-renv, r-cran-prereg, r-cran-gert, r-cran-ranger, r-cran-yaml, r-cran-digest, r-cran-rticles, r-cran-tinytex, r-cran-credentials, r-cran-usethis, r-cran-gh, r-cran-xfun, r-cran-cli, r-cran-rlang
Suggests: r-cran-papaja, r-cran-targets, r-cran-lavaan, r-cran-tidysem, r-cran-tarchetypes, r-cran-remotes, r-cran-knitr, r-cran-missranger, r-cran-curl, r-cran-fs, r-cran-withr, r-cran-desc, r-cran-purrr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-worcs_0.1.18-1.ca2004.1_all.deb
Size: 815880
MD5sum: ea97445f42ae6ee592a26c640936325b
SHA1: d68a778b5027ffa8cbf5f0fcbdb68bc95f786a66
SHA256: a177944e268a5f984efac1cc463f4ae276b1034705266b7f3079a4bd24f1a6da
SHA512: e02b04ebafce7cd399533f692abb1e0a9890100d455da0a4700b06c6085d2050ceca3ba36747d828651e422297d33cdd575f8631d757801f6c3daf4fd71fd08d
Homepage: https://cran.r-project.org/package=worcs
Description: CRAN Package 'worcs' (Workflow for Open Reproducible Code in Science)
 Create reproducible and transparent research projects in 'R'.  This package
 is based on the Workflow for Open Reproducible Code in Science (WORCS), a
 step-by-step procedure based on best practices for Open Science. It includes
 an 'RStudio' project template, several convenience functions, and all
 dependencies required to make your project reproducible and transparent.
 WORCS is explained in the tutorial paper by Van Lissa, Brandmaier, Brinkman,
 Lamprecht, Struiksma, & Vreede (2021).  <doi:10.3233/DS-210031>.

Package: r-cran-word.alignment
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 121
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-openxlsx
Filename: pool/dists/focal/main/r-cran-word.alignment_1.1-1.ca2004.1_all.deb
Size: 93224
MD5sum: 7aa6195d27edcfc894b8cf1d2a510418
SHA1: 75fa07f7f12be46007d59a60b070cbb4838b0b47
SHA256: 0caf6dcf83ef5cd99a8fba4efc33f9dfd16e4ba1d0f18bc1e333af82aca07ba8
SHA512: ec6d0b5a103effae18d9ac8e92eb691160da30fe329633152914e87e2af781bcbe89a1cc0e45a1a69580524a604b5aeaf9248fb112059be8620b3a49923d9709
Homepage: https://cran.r-project.org/package=word.alignment
Description: CRAN Package 'word.alignment' (Computing Word Alignment Using IBM Model 1 (and Symmetrization)for a Given Parallel Corpus and Its Evaluation)
 For a given Sentence-Aligned Parallel Corpus, it aligns words for each
 sentence pair. It considers one-to-many and symmetrization alignments.
 Moreover, it evaluates the quality of word alignment based on this package
 and some other software. It also builds an automatic dictionary of two
 languages based on given parallel corpus.

Package: r-cran-wordbankr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-assertthat, r-cran-dbi, r-cran-dbplyr, r-cran-dplyr, r-cran-glue, r-cran-jsonlite, r-cran-lifecycle, r-cran-purrr, r-cran-quantreggrowth, r-cran-rlang, r-cran-rmysql, r-cran-robustbase, r-cran-stringr, r-cran-tidyr
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wordbankr_1.0.3-1.ca2004.1_all.deb
Size: 102112
MD5sum: ac1324b031f778d7b6c69d0469d2cc29
SHA1: f575970465df1888faeed9e1a01a8934dba0abe2
SHA256: 88104a9c83ff5a9d2802cf2b96d4c65e00211b29232b160d4a1de8d5ca52520c
SHA512: 22e8177d495de65431de93afaa1551d659f01b9acefbc2b6d8f99c22f8f03b19702ecf4b355ca4981cd3577a0b0d5a7f7e5436a0fb8129f11e0bea7475dae6eb
Homepage: https://cran.r-project.org/package=wordbankr
Description: CRAN Package 'wordbankr' (Accessing the Wordbank Database)
 Connecting to Wordbank, an open repository for developmental vocabulary
 data. For more information on the underlying data, see
 <http://wordbank.stanford.edu>.

Package: r-cran-wordcloud2
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1804
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-htmlwidgets, r-cran-base64enc
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-webshot
Filename: pool/dists/focal/main/r-cran-wordcloud2_0.2.1-1.ca2004.1_all.deb
Size: 883120
MD5sum: fc32db87c2b4748b2bd9012503da8ced
SHA1: 69aa9dc4308900b909dd053a0fe148e1acf2f656
SHA256: de1e79c94f4a47ed4b24a0b04dac9292fe84aa542f081c6b934a9c1600693bfa
SHA512: 084b453219d224b08809131b3e8ecd11ea6aef0b3aba674d4646ac8e433b520938b91319671cd9ae53cb3b901c2feafef9ec68ce4986bd2b5496352ffc627a0e
Homepage: https://cran.r-project.org/package=wordcloud2
Description: CRAN Package 'wordcloud2' (Create Word Cloud by 'htmlwidget')
 A fast visualization tool for creating wordcloud by using 'wordcloud2.js'.
 'wordcloud2.js' is a JavaScript library to create wordle presentation on 2D
 canvas or HTML <https://timdream.org/wordcloud2.js/>.

Package: r-cran-wordgraph
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 146
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tidygraph, r-cran-tibble, r-cran-plyr, r-cran-ggraph, r-cran-purrr, r-cran-dplyr, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-wordgraph_0.1.0-1.ca2004.1_all.deb
Size: 113604
MD5sum: 001471fd82127a86abbcf69f623f1dc5
SHA1: 4c6f0b1dcedcb8a46a2c62380368f033a46797ca
SHA256: 5f56ad1fb87401c74209f7fb282c320d598b1697a4403d5462783964f336ab9b
SHA512: 999f0d78afc05ed412547042a662e0de8d9abc2c6b57288bf6b31f7d79db41497f01b7eca22fe69f5f4fad99a14e7b0c287f3627da37f98b1f307516c494910a
Homepage: https://cran.r-project.org/package=wordgraph
Description: CRAN Package 'wordgraph' (Graph Functionality of Free Associated Words)
 Functions that help less experienced R users to make graph analysis for free
 associated words, or more generally for repeated nominal data for which a
 undirected graph analysis is meaningful. By corresponding to each word its
 centrality, it is possible to apply standard quantitative analysis methods
 in order to associate word selection with other variables.  The functions
 are implemented with the aid of the 'tibble', 'tidygraph', 'ggraph' and
 'ggplot2' packages. Supported centrality functions are centrality_alpha(),
 centrality_authority(), centrality_betweenness(), centrality_closeness(),
 centrality_pagerank(), centrality_eigen(). A data set is included.

Package: r-cran-wordler
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crayon
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordler_0.3.1-1.ca2004.1_all.deb
Size: 112944
MD5sum: b4f86f9dd74ae21ab585d9c800f70ef2
SHA1: 896c99b47b00d4d1af918452f524043e8a9a4605
SHA256: 292b7089184f33f4adfd1590d28f7500309b6d26eff5b8955ff7ef71832e15fe
SHA512: b985e75370f68955e33487004ac52b172b21a316a134066f43463c45f72b1d33595d0019cba595f00b724dced1a70487b5375107fdae2eba38592f76688223d3
Homepage: https://cran.r-project.org/package=wordler
Description: CRAN Package 'wordler' (The 'WORDLE' Game)
 The 'Wordle' game. Players have six attempts to guess a five-letter word.
 After each guess, the player is informed which letters in their guess are
 either: anywhere in the word; in the right position in the word. This can be
 used to inform the next guess. Can be played interactively in the console,
 or programmatically. Based on Josh Wardle's game
 <https://www.powerlanguage.co.uk/wordle/>.

Package: r-cran-wordlistsanalytics
Architecture: all
Version: 0.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 703
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-shiny, r-cran-ggplot2, r-cran-readr, r-cran-dplyr, r-cran-reshape2, r-cran-lsa
Filename: pool/dists/focal/main/r-cran-wordlistsanalytics_0.2.4-1.ca2004.1_all.deb
Size: 594128
MD5sum: 2196f60b13b33c3706544942570048d8
SHA1: a1d0df24241b99421c1e7b017afee8ac0dbd9151
SHA256: 68de161d69ccf23417b52707c14f83210198c3798722e3dc8e755a8f5139a659
SHA512: 16eb05513ad372a85d169fbb2ed79682cf2433a4a5154d5385e0730dfa3749b8a212a4c51ee36b3b9b66c693381e8d2023fb4a446270f3650218dd307e1863f2
Homepage: https://cran.r-project.org/package=WordListsAnalytics
Description: CRAN Package 'WordListsAnalytics' (Multiple Data Analysis Tools for Property Listing Tasks)
 Application to estimate statistical values using properties provided by a
 group of individuals to describe concepts using 'shiny'. It estimates the
 underlying distribution to generate new descriptive words Canessa et al.
 (2023) <doi:10.3758/s13428-022-01811-w>, applies a new clustering model, and
 uses simulations to estimate the probability that two persons describe the
 same words based on their descriptions Canessa et al. (2022)
 <doi:10.3758/s13428-022-02030-z>.

Package: r-cran-wordmap
Architecture: all
Version: 0.9.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 932
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-matrix, r-cran-quanteda, r-cran-stringi, r-cran-ggplot2, r-cran-ggrepel
Suggests: r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordmap_0.9.4-1.ca2004.1_all.deb
Size: 917292
MD5sum: 41dce324baac71058e2a92078081a73a
SHA1: 034c263fd95190e2b84289fcd4953899474f064f
SHA256: 4825b9252d1bbfcca95da4cd6dddbbc7824d2f45041b0e741839c051b32b13e1
SHA512: cc3e13c3da9308083288fed0433060234965ce5e2ea4207db87db6ccc207a82b867b11491a1e4c232bdec9ae329a257a701471d6b9084bccda2a2f9c881756ca
Homepage: https://cran.r-project.org/package=wordmap
Description: CRAN Package 'wordmap' (Feature Extraction and Document Classification with Noisy Labels)
 Extract features and classify documents with noisy labels given by
 document-meta data or keyword matching Watanabe & Zhou (2020)
 <doi:10.1177/0894439320907027>.

Package: r-cran-wordmatch
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 43
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-wordmatch_1.0-1.ca2004.1_all.deb
Size: 12612
MD5sum: 0b5f25b243743910c1f94fe83f2914f5
SHA1: 67998751209e235661e2119c112fb8872a98e95d
SHA256: db0dc9eaa3999dc6682cfee9c1962c33eeb9be5b7b2f5a7b94c0f0ccdedb93c5
SHA512: 999a82ae8157210a088f8e6aebaa4223572339e2743a004183030f109850e40171b8b10a5e9ebf934d7c153085e129fdfbc4ff0d6bed5af675a1a1125bfc8e68
Homepage: https://cran.r-project.org/package=wordmatch
Description: CRAN Package 'wordmatch' (Matches words in one file with words in another file)
 Matches words in one file with words in another file and shows index(row
 number) for the matches

Package: r-cran-wordnet
Architecture: all
Version: 0.1-17-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 163
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-wordnet_0.1-17-1.ca2004.1_all.deb
Size: 117552
MD5sum: 42a1af5f739cb431c556df875ea65e4f
SHA1: 54030076435af7cf356b06d061aaaebdcf0c0284
SHA256: 3500a2ed5143313ba2c60dc7b107e8cd59806eeee3dc205765aadfef3af40e4a
SHA512: 9af3d9a79d381dd914a9cab6d9b3d2126e1448d5d9be0e215bce05fb91d376759c8fc92aff675cb4606bf74546412d9f5f109716a582be8eafa0613ff0857886
Homepage: https://cran.r-project.org/package=wordnet
Description: CRAN Package 'wordnet' (WordNet Interface)
 An interface to WordNet using the Jawbone Java API to WordNet.  WordNet
 (<https://wordnet.princeton.edu/>) is a large lexical database of English.
 Nouns, verbs, adjectives and adverbs are grouped into sets of cognitive
 synonyms (synsets), each expressing a distinct concept.  Synsets are
 interlinked by means of conceptual-semantic and lexical relations.  Please
 note that WordNet(R) is a registered tradename.  Princeton University makes
 WordNet available to research and commercial users free of charge provided
 the terms of their license
 (<https://wordnet.princeton.edu/license-and-commercial-use>) are followed,
 and proper reference is made to the project using an appropriate citation
 (<https://wordnet.princeton.edu/citing-wordnet>).  The WordNet database
 files need to be made available separately, either via package
 'wordnetDicts' from <https://datacube.wu.ac.at>, installing system packages
 where available, or direct download from
 <https://wordnetcode.princeton.edu/3.0/WNdb-3.0.tar.gz>.

Package: r-cran-wordofmouth
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 207
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lambertw
Filename: pool/dists/focal/main/r-cran-wordofmouth_1.2.0-1.ca2004.1_all.deb
Size: 159656
MD5sum: 68fd4ad049e6039196e1edafcec24b53
SHA1: 7c8b7edd8b3f91a9642f48a0394a44f97be29788
SHA256: 5b6380ee69fd861edc5806a93f6f95f92d9d6f8a6f862a22e48ffbd44c23d982
SHA512: f728c5a1c2279b593badc73e44a657305749e203c98438c6b46ad070c1f7a63c767f45ccf29a1797c6a52c9949aebb074c3fd2fbea423e6a95f09723ca8823c3
Homepage: https://cran.r-project.org/package=WordOfMouth
Description: CRAN Package 'WordOfMouth' (Estimates Economic Variables for Word-of-Mouth-Campaigns)
 Methods for estimating profit, profit-maximizing price, demand and consumer
 surplus of Word-of-Mouth-campaigns on mean-field networks.

Package: r-cran-wordpiece.data
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 327
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordpiece.data_2.0.0-1.ca2004.1_all.deb
Size: 296988
MD5sum: e6e015d5ffcbf14030165054165443cf
SHA1: db89d5a08be2055d71f1c3a2ffcd9841c783d335
SHA256: 455c09334a2d9acac1f8cb80c514302eae79ea2cad1d60e81a99278c0893712d
SHA512: bf7adb80aa7ec712ddf7a0277edbd82f181a119ab091201f58c81e6956b34ccca3a36a37c69a79a426184e31fdbf8b92bec1bc69dd64b5d5a68d97c9a3eff94a
Homepage: https://cran.r-project.org/package=wordpiece.data
Description: CRAN Package 'wordpiece.data' (Data for Wordpiece-Style Tokenization)
 Provides data to be used by the wordpiece algorithm in order to tokenize
 text into somewhat meaningful chunks. Included vocabularies were retrieved
 from <https://huggingface.co/bert-base-cased/resolve/main/vocab.txt> and
 <https://huggingface.co/bert-base-uncased/resolve/main/vocab.txt> and parsed
 into an R-friendly format.

Package: r-cran-wordpiece
Architecture: all
Version: 2.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dlr, r-cran-fastmatch, r-cran-memoise, r-cran-piecemaker, r-cran-rlang, r-cran-stringi
Suggests: r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordpiece_2.1.3-1.ca2004.1_all.deb
Size: 48816
MD5sum: 213823d24df871d60210fe2a3daea909
SHA1: 83bd366bd5a888fbcffd79c328ba76b9ac45b31b
SHA256: 9abdd51feca82043ee67ec7c62a2ea8ab10563e7945efb9a9eac1a535bd25e2e
SHA512: a3032b3ed51a0464e45885ce20faf82af6910f1fb27fdc2e6e599f7db5fc1b6c86ecd1e351c603491e1dd23be82895356316f2d3cb288e1b0a677f79626213a8
Homepage: https://cran.r-project.org/package=wordpiece
Description: CRAN Package 'wordpiece' (R Implementation of Wordpiece Tokenization)
 Apply 'Wordpiece' (<arXiv:1609.08144>) tokenization to input text, given an
 appropriate vocabulary. The 'BERT' (<arXiv:1810.04805>) tokenization
 conventions are used by default.

Package: r-cran-wordpools
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-wordpools_1.2.0-1.ca2004.1_all.deb
Size: 178804
MD5sum: b7ea2c06834d3231f5f13ee1401eb8d7
SHA1: 4ff4250c0b6bb4161a2738d704f380db639b164c
SHA256: 1591efaf9f2dba52e607c3c6fe066f4ce969fc0f589c89748ba9aeaac4760659
SHA512: ae8c9934319ef1a07603a737322dcf5dc1a9758448c692c38872f95622c3e872191a4d7f94efca735be50f7948206d5caeba7d6dc2ebec7c68918fd82dc833cd
Homepage: https://cran.r-project.org/package=WordPools
Description: CRAN Package 'WordPools' (Word Pools Used in Studies of Learning and Memory)
 Collects several classical word pools used most often to provide lists of
 words in psychological studies of learning and memory. It provides a simple
 function, 'pickList' for selecting random samples of words within given
 ranges.

Package: r-cran-wordpredictor
Architecture: all
Version: 0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1536
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-digest, r-cran-ggplot2, r-cran-patchwork, r-cran-stringr, r-cran-dplyr, r-cran-snowballc
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-rmarkdown, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-wordpredictor_0.0.5-1.ca2004.1_all.deb
Size: 841012
MD5sum: 7d1c3060bb86599297a76992f84a9f89
SHA1: 7e7ffb6755785c0e41a1efca9aa0a27dd4adca17
SHA256: d9b37fcb1cbb3a22b3d5275de2d7feb8958ff859d900167807c0be0989a218a4
SHA512: 32e7750a5bc8802cdea7694a74e4cb047ee95a00b4d5f1d367305ff5abafa4fd9f1d07218af9982ce41922bd2d5ac7a7771f456b0e02b5fa0c32c767a1a8b1cb
Homepage: https://cran.r-project.org/package=wordpredictor
Description: CRAN Package 'wordpredictor' (Develop Text Prediction Models Based on N-Grams)
 A framework for developing n-gram models for text prediction.  It provides
 data cleaning, data sampling, extracting tokens from text, model generation,
 model evaluation and word prediction. For information on how n-gram models
 work we referred to: "Speech and Language Processing"
 <https://web.archive.org/web/20240919222934/https%3A%2F%2Fweb.stanford.edu%2F~jurafsky%2Fslp3%2F3.pdf>.
 For optimizing R code and using R6 classes we referred to "Advanced R"
 <https://adv-r.hadley.nz/r6.html>. For writing R extensions we referred to
 "R Packages", <https://r-pkgs.org/index.html>.

Package: r-cran-wordpuzzler
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-purrr, r-cran-scales, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-wordpuzzler_0.1.1-1.ca2004.1_all.deb
Size: 38312
MD5sum: fd396fdafc90f3a1fde88f6154971db9
SHA1: 718c6441c41cef5c2fc13d0657f5fae5f8b16086
SHA256: d1fd3c2246ddd3a7d1402a859e96fd51ede270ce8ced0c639a2960932b940c4a
SHA512: 3978c8ff1e693596e5d8ecdb39e7e114259887c76877fe47bb86f7fa2bb2d22086ea3a36c2c583145309aeb7eefbcab17df150fb0e67aa957e0fca5803e92398
Homepage: https://cran.r-project.org/package=wordPuzzleR
Description: CRAN Package 'wordPuzzleR' (Word Puzzle Game)
 The word puzzle game requires you to find out the letters in a word within a
 limited number of guesses. In each round, if your guess hit any letters in
 the word, they reveal themselves. If all letters are revealed before your
 guesses run out, you win this game; otherwise you fail. You may run multiple
 games to guess different words.

Package: r-cran-wordr
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 527
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-officer, r-cran-flextable, r-cran-xml2
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordr_0.3.6-1.ca2004.1_all.deb
Size: 301400
MD5sum: cbf2bcc3660b5f5df55d986292811c67
SHA1: 69a092802c158a70fa232f0e7f888179ed3fbf2a
SHA256: 8996d449527abbf2843708dcbbf99192a652a4201893fbbf4aa51715b03d7132
SHA512: 7cba5b1b9cfa411b465af94d9d037aff80b30dabf2beb19b3b5db555024d9ed5d53b0dd76627f5ea114695dd36a73dce54f2e7142bf36432488c1868917178e7
Homepage: https://cran.r-project.org/package=WordR
Description: CRAN Package 'WordR' (Rendering Word Documents with R Inline Code)
 Serves for rendering MS Word documents with R inline code and inserting
 tables and plots.

Package: r-cran-words
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 680
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-words_1.0.1-1.ca2004.1_all.deb
Size: 656852
MD5sum: 1d871c455972370933a24b91b32f78e8
SHA1: e104de10a18b9a411d2d48f11606b518dafc8fc2
SHA256: 9f1dad1499cad6937b9bd0aac9ee81f390578cf520e3ab8ac1030a2beaedf112
SHA512: ea2544fce7837a8e06d2d31a342b0a431f6844e02c36f438a0957308e3c60773935e3a47abfb91f6bc7b33277eea032243a2819b32daebf353cc206890481796
Homepage: https://cran.r-project.org/package=words
Description: CRAN Package 'words' (List of English Words from the Scrabble Dictionary)
 List of english scrabble words as listed in the OTCWL2014
 <https://www.scrabbleplayers.org/w/Official_Tournament_and_Club_Word_List_2014_Edition>.
 Words are collated from the 'Word Game Dictionary'
 <https://www.wordgamedictionary.com/word-lists/>.

Package: r-cran-wordsalad
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tibble, r-cran-text2vec, r-cran-word2vec, r-cran-fasttextr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wordsalad_0.2.0-1.ca2004.1_all.deb
Size: 53640
MD5sum: dc7eacbf2aaf66a102fcb08172c5bb7b
SHA1: 7ba1eb2763858569cd41b7b4fa100d20925c4e0c
SHA256: c3123191124d5cd2f488299c45a83d07800c3a891eb5b9b7f922a20952b7e445
SHA512: f5f8f808a2938869a29a41c54d867ec5eb0935fa9812cdb66f52110c23e73d01a67ade3d87a54f7c1c7413b95f366c539d618116d6f5ec7bbef84fd2f8ec6cad
Homepage: https://cran.r-project.org/package=wordsalad
Description: CRAN Package 'wordsalad' (Provide Tools to Extract and Analyze Word Vectors)
 Provides access to various word embedding methods (GloVe, fasttext and
 word2vec) to extract word vectors using a unified framework to increase
 reproducibility and correctness.

Package: r-cran-workboots
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-assertthat, r-cran-dplyr, r-cran-generics, r-cran-lifecycle, r-cran-metrics, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-vip, r-cran-workflows
Suggests: r-cran-forcats, r-cran-ggplot2, r-cran-knitr, r-cran-readr, r-cran-recipes, r-cran-rmarkdown, r-cran-scales, r-cran-testthat, r-cran-tidymodels, r-cran-tune, r-cran-xgboost
Filename: pool/dists/focal/main/r-cran-workboots_0.2.0-1.ca2004.1_all.deb
Size: 251444
MD5sum: 3a5aa59c8e5aede01548b8714ee52c2c
SHA1: 7df2f61158afdc547d3604764c922e506d1c4c54
SHA256: 0831815160e2a90225107dc494960f165a665267690f18c458ab7ba1136bf57e
SHA512: 14274e7cdebf8773394bea512e4ab20abf8f1b3719cd8cf5425113ba3fb3b21cd4d87398c80ac8a0478b3c55c76f0c34c383c918891272b00472c5d81cf650a7
Homepage: https://cran.r-project.org/package=workboots
Description: CRAN Package 'workboots' (Generate Bootstrap Prediction Intervals from a 'tidymodels'Workflow)
 Provides functions for generating bootstrap prediction intervals from a
 'tidymodels' workflow. 'tidymodels' <https://www.tidymodels.org/> is a
 collection of packages for modeling and machine learning using 'tidyverse'
 <https://www.tidyverse.org/> principles. This package is not affiliated with
 or maintained by 'RStudio' or the 'tidymodels' maintainers.

Package: r-cran-workflowr
Architecture: all
Version: 1.7.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1029
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-callr, r-cran-fs, r-cran-getpass, r-cran-git2r, r-cran-glue, r-cran-httpuv, r-cran-httr, r-cran-knitr, r-cran-rmarkdown, r-cran-rprojroot, r-cran-rstudioapi, r-cran-stringr, r-cran-whisker, r-cran-yaml
Suggests: r-cran-clipr, r-cran-miniui, r-cran-reticulate, r-cran-sessioninfo, r-cran-shiny, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-workflowr_1.7.1-1.ca2004.1_all.deb
Size: 563276
MD5sum: 1c72875a4043daef1c6868d9a9e08677
SHA1: 88b42d4ca09786c21976799848aed9ea9dd41f26
SHA256: d231df84e427a778803d1e3be55253e74803ee41f8f5585c1da2184caae74376
SHA512: 6ca45c0fdbc83a144cddc5a7acc97fdc019f498ef9f8e0834866e08421cba15d0d0a4ab90f8f81e8d866f6fbcaf558ec1655ddecd82f90ed345d85e98722981d
Homepage: https://cran.r-project.org/package=workflowr
Description: CRAN Package 'workflowr' (A Framework for Reproducible and Collaborative Data Science)
 Provides a workflow for your analysis projects by combining literate
 programming ('knitr' and 'rmarkdown') and version control ('Git', via
 'git2r') to generate a website containing time-stamped, versioned, and
 documented results.

Package: r-cran-workflows
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 305
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-generics, r-cran-glue, r-cran-hardhat, r-cran-lifecycle, r-cran-modelenv, r-cran-parsnip, r-cran-recipes, r-cran-rlang, r-cran-tidyselect, r-cran-sparsevctrs, r-cran-vctrs, r-cran-withr
Suggests: r-cran-butcher, r-cran-covr, r-cran-dials, r-cran-glmnet, r-cran-knitr, r-cran-magrittr, r-cran-matrix, r-cran-modeldata, r-cran-probably, r-cran-rsample, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-workflows_1.2.0-1.ca2004.1_all.deb
Size: 255492
MD5sum: bed0cf24a0490386fe7239591c71a4d0
SHA1: b093bfcbd89aad19eb92bd8f86ca35535505a4f2
SHA256: 705e82b82ad1fedae7ca5dba4e72566874eace67871498d832ba980ede5a98ff
SHA512: 2e44213e6cba9ac0a451acb167fb116d7e604ab27ee511a4d27a79147d6cae728a09e4d7e81ef86ea45979b229e618344423df7975d10585b3008c3af99e8b5b
Homepage: https://cran.r-project.org/package=workflows
Description: CRAN Package 'workflows' (Modeling Workflows)
 Managing both a 'parsnip' model and its data preparation steps, such as a
 model formula or recipe from 'recipes', can often be challenging.  The goal
 of 'workflows' is to streamline this process by bundling the model with its
 data preparation, all within the same object.

Package: r-cran-workflowsets
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3219
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-generics, r-cran-ggplot2, r-cran-hardhat, r-cran-lifecycle, r-cran-parsnip, r-cran-pillar, r-cran-prettyunits, r-cran-purrr, r-cran-rlang, r-cran-rsample, r-cran-tibble, r-cran-tidyr, r-cran-tune, r-cran-vctrs, r-cran-withr, r-cran-workflows
Suggests: r-cran-covr, r-cran-dials, r-cran-finetune, r-cran-kknn, r-cran-knitr, r-cran-modeldata, r-cran-recipes, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-tidyclust, r-cran-yardstick
Filename: pool/dists/focal/main/r-cran-workflowsets_1.1.1-1.ca2004.1_all.deb
Size: 2043736
MD5sum: 2d747e90e3b4445234e9adc84a0e5806
SHA1: 5ff6f3e70a20b3af34b42ab60a299bdcc45c6268
SHA256: 7faf529316768b6790f22c6e11ae3132995b980af9db6a7a04fb82e492dc9431
SHA512: f11142476935552e66f8808d87775a3053ef0ec6cdb687ad00fa6c5cbe281238485375bef4f5415e9d9dccab99011d20291d51404c63189f59a8fc826f2920ad
Homepage: https://cran.r-project.org/package=workflowsets
Description: CRAN Package 'workflowsets' (Create a Collection of 'tidymodels' Workflows)
 A workflow is a combination of a model and preprocessors (e.g, a formula,
 recipe, etc.) (Kuhn and Silge (2021) <https://www.tmwr.org/>). In order to
 try different combinations of these, an object can be created that contains
 many workflows. There are functions to create workflows en masse as well as
 training them and visualizing the results.

Package: r-cran-workloopr
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3794
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-signal
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr, r-cran-ggplot2, r-cran-magrittr, r-cran-purrr, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-workloopr_1.1.4-1.ca2004.1_all.deb
Size: 733252
MD5sum: 04bde6a13e7aaa0a37e9a1a929454ae7
SHA1: 4946758a04e1b5352b4dfc35d0b298545cf7d3d2
SHA256: 6ef9b697f5f700da1ca84ec8ed29d88084a4d75a4d95ea3f59ff9f9acc3b5baa
SHA512: 1f7ae45d2bf13917ab99562030eccd07f452dac1028964ab70269fc83e88a24e714059e03aca2d1dc447787cdaf5c5dfb07c0726cdb2d4fa7c7b044601eaf7af
Homepage: https://cran.r-project.org/package=workloopR
Description: CRAN Package 'workloopR' (Analysis of Work Loops and Other Data from Muscle PhysiologyExperiments)
 Functions for the import, transformation, and analysis of data from muscle
 physiology experiments. The work loop technique is used to evaluate the
 mechanical work and power output of muscle. Josephson (1985)
 <doi:10.1242/jeb.114.1.493> modernized the technique for application in
 comparative biomechanics. Although our initial motivation was to provide
 functions to analyze work loop experiment data, as we developed the package
 we incorporated the ability to analyze data from experiments that are often
 complementary to work loops. There are currently three supported experiment
 types: work loops, simple twitches, and tetanus trials. Data can be imported
 directly from .ddf files or via an object constructor function. Through
 either method, data can then be cleaned or transformed via methods typically
 used in studies of muscle physiology.  Data can then be analyzed to
 determine the timing and magnitude of force development and relaxation (for
 isometric trials) or the magnitude of work, net power, and instantaneous
 power among other things (for work loops).  Although we do not provide
 plotting functions, all resultant objects are designed to be friendly to
 visualization via either base-R plotting or 'tidyverse' functions.  This
 package has been peer-reviewed by rOpenSci (v. 1.1.0).

Package: r-cran-worldbank
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 300
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-httr2
Suggests: r-cran-ggplot2, r-cran-scales, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-worldbank_0.6.0-1.ca2004.1_all.deb
Size: 225680
MD5sum: 9bc89980b2f6894a0db34e057c979007
SHA1: 553ec2c3c957c17816e4d4f1eaccc9ec08ac95bd
SHA256: cdd117af88204c1e1489d69b3e54b509b209184a0a676ce0425a3c0b5c8e30ed
SHA512: 7ed611d5de34ff4c2ced15534f831ace7a94ef5e41ad1324ebbfd29fd5a431d33c8f9b81191bf050a07c48392c49dd344b37eb96cdc99eee298646135705753b
Homepage: https://cran.r-project.org/package=worldbank
Description: CRAN Package 'worldbank' (Client for World Banks's 'Indicators' and 'Poverty andInequality Platform (PIP)' APIs)
 Download and search data from the 'World Bank Indicators API', which
 provides access to nearly 16,000 time series indicators.  See
 <https://datahelpdesk.worldbank.org/knowledgebase/articles/889392-about-the-indicators-api-documentation>
 for further details about the API.

Package: r-cran-worldflora
Architecture: all
Version: 1.14-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 203
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-data.table, r-cran-stringr, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-stringdist
Filename: pool/dists/focal/main/r-cran-worldflora_1.14-5-1.ca2004.1_all.deb
Size: 157500
MD5sum: 8cc867385ddb11e75e8aaf7c2f8a8fcd
SHA1: eedf98f2d45aa3f45009bded44da74d49d7dcb29
SHA256: 4285eb962a8f887e0704bb1fe560d7c19c0e95e6c939919fad81ea0a1bbbc3dc
SHA512: d829e583f86af47049ad1297b111639933cd59b4e432313dc6a43df7b223f84881c78f9fadee210d4fc3205be0134397d89dca7714ab2c70857434a3000a2eb3
Homepage: https://cran.r-project.org/package=WorldFlora
Description: CRAN Package 'WorldFlora' (Standardize Plant Names According to World Flora OnlineTaxonomic Backbone)
 World Flora Online is an online flora of all known plants, available from
 <https://www.worldfloraonline.org/>. Methods are provided of matching a list
 of plant names (scientific names, taxonomic names, botanical names) against
 a static copy of the World Flora Online Taxonomic Backbone data that can be
 downloaded from the World Flora Online website. The World Flora Online
 Taxonomic Backbone is an updated version of The Plant List
 (<http://www.theplantlist.org/>), a working list of plant names that has
 become static since 2013.

Package: r-cran-worldfootballr
Architecture: all
Version: 0.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 662
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-dplyr, r-cran-glue, r-cran-httr, r-cran-janitor, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-progress, r-cran-purrr, r-cran-qdapregex, r-cran-readr, r-cran-rlang, r-cran-rstudioapi, r-cran-rvest, r-cran-stringi, r-cran-stringr, r-cran-tidyr, r-cran-tidyselect, r-cran-withr, r-cran-xml2, r-cran-tibble, r-cran-cli, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-worldfootballr_0.6.2-1.ca2004.1_all.deb
Size: 598080
MD5sum: 7117f6a9f3af274c2d27194a732ac7be
SHA1: b25076609767430572640a1f3fa96ef3fc4b35f2
SHA256: 38a93eecc87e036a382a9130bdf2acd4db7c384f83d7cd70f73e50e43fc9364d
SHA512: c24f86accfbb06635ad553f7b50455027a6536d284531c7a2e56fe66b40166ac9af14310d6fb31ee4fbb0dcba240eedcb6eab88dc91ad56a934dda582d1d77d8
Homepage: https://cran.r-project.org/package=worldfootballR
Description: CRAN Package 'worldfootballR' (Extract and Clean World Football (Soccer) Data)
 Allow users to obtain clean and tidy football (soccer) game, team and player
 data. Data is collected from a number of popular sites, including 'FBref',
 transfer and valuations data from
 'Transfermarkt'<https://www.transfermarkt.com/> and shooting location and
 other match stats data from 'Understat'<https://understat.com/> and
 'fotmob'<https://www.fotmob.com/>. It gives users the ability to access data
 more efficiently, rather than having to export data tables to files before
 being able to complete their analysis.

Package: r-cran-worldmapr
Architecture: all
Version: 1.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1930
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-sf, r-cran-countrycode, r-cran-ggfx
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-worldmapr_1.2.0-1.ca2004.1_all.deb
Size: 1589668
MD5sum: c67b995ac6fb4ef3698e2b971bbd2fc6
SHA1: 696e3c6d6f35d413a29e2b81ed9a9d279e3d6618
SHA256: 5c01b3e7228eab8b877d31d214ba7cd91944a575702b510ea635c712abc210a6
SHA512: 15c60d1d46793cc047e6841d746a45719c66ee94f9bc5f25c4c16189427992109b6b39c1eb4ff8ca6db04b105c7f2fe4efc18c07add1cfa9a09bea3156365c78
Homepage: https://cran.r-project.org/package=WorldMapR
Description: CRAN Package 'WorldMapR' (Worldwide or Coordinates-Based Heat Maps)
 Easily plot heat maps of the world, based on continuous or categorical data.
 Country labels can also be added to the map.

Package: r-cran-worldmet
Architecture: all
Version: 0.9.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 259
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-doparallel, r-cran-dplyr, r-cran-foreach, r-cran-leaflet, r-cran-magrittr, r-cran-openair, r-cran-purrr, r-cran-readr, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-worldmet_0.9.9-1.ca2004.1_all.deb
Size: 225096
MD5sum: 9acef927509c34d36550751af43f7ed2
SHA1: faae98732763aaf2d516ffcea4241d6ab23215ed
SHA256: fd00d2b5f7d42307df930e620a56a7d431c3949a6c97a885e440f5dd50a0c77b
SHA512: 232708837fd90e51f674a176742e62f8d257b7478e2ce7a00a7a5d9c0ebf6df47bfa9f9b7399bcbfe5b82fc402d18aa298fa3e2ee63f8af5f773e133c806454c
Homepage: https://cran.r-project.org/package=worldmet
Description: CRAN Package 'worldmet' (Import Surface Meteorological Data from NOAA Integrated SurfaceDatabase (ISD))
 Functions to import data from more than 30,000 surface meteorological sites
 around the world managed by the National Oceanic and Atmospheric
 Administration (NOAA) Integrated Surface Database (ISD, see
 <https://www.ncei.noaa.gov/products/land-based-station/integrated-surface-database>).

Package: r-cran-worldriskpollr
Architecture: all
Version: 0.7.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-magrittr, r-cran-dplyr, r-cran-tidyr, r-cran-labelled, r-cran-sjlabelled, r-cran-janitor, r-cran-rlang, r-cran-httr, r-cran-curl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-worldriskpollr_0.7.4-1.ca2004.1_all.deb
Size: 33916
MD5sum: ae216aaa976573d386d3e62c99b810ab
SHA1: 89bb7b6b03a3a10cf7a10fb5b63da87028440beb
SHA256: 257ddae9076fade50456e08ff1b1ab63ac2acb6982c56d6000c6336eb957c617
SHA512: 2f4922fb4420af149b9d00b5c3cd64147c5561d11681f957ed144219a61fb821d89982f2006a458c7c15b6772024ef1642c1e91a6791908da635face27a0ae72
Homepage: https://cran.r-project.org/package=worldriskpollr
Description: CRAN Package 'worldriskpollr' (Aggregated Survey Data from the World Risk Poll)
 Provides users with programmatic access to aggregated survey data from the
 World Risk Poll, conveniently packaged for consumption by R users. It
 downloads formatted data from the Lloyd's Register Foundation World Risk
 Poll individual survey responses. It then processes this data and provides
 weighting functions for users to select questions of interest and aggregate
 to national levels, by gender, age, income, education urban/rural and
 household composition. The method of aggregation can be found at
 <https://www.gallup.com/178667/gallup-world-poll-work.aspx/>.  More
 information about the World Risk Poll Survey can be found here
 <https://wrp.lrfoundation.org.uk/>.

Package: r-cran-worms
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-worms_0.2.2-1.ca2004.1_all.deb
Size: 51952
MD5sum: 09a1b90fd192c2704babfbce9e2c8e41
SHA1: 6326700688704f4c5f3a61a97045c2e07fbbd616
SHA256: 7526ba44e918bdca975e10cf11d6485849728b8998d0ee146054599989f8d91b
SHA512: da50dd9bc057e973ad106e8a4b87e6493a7b31dc4d71b8640708993dd85007b6bebafa15eeb0b57fd4b97af7f40c0939d48db91eba5d73761fce95f7c7fd146a
Homepage: https://cran.r-project.org/package=worms
Description: CRAN Package 'worms' (Retriving Aphia Information from World Register of MarineSpecies)
 Retrieves taxonomic information from <http://www.marinespecies.org> using
 WoRMS' RESTful Webservice. Utility functions aim at taxonomic consistency.

Package: r-cran-wormtensor
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2983
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rtensor, r-cran-usedist, r-cran-dtwclust, r-cran-clustersim, r-cran-clvalid, r-cran-aricode, r-cran-cluster, r-cran-ggplot2, r-cran-rtsne, r-cran-uwot, r-cran-factoextra, r-cran-ggrepel, r-cran-cowplot
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wormtensor_0.1.1-1.ca2004.1_all.deb
Size: 1497200
MD5sum: 2c9f7d00fe22d0eb88e0b60d4d8ef64c
SHA1: 5aebea98d2b4bc16b0d02a07539255c4c05dcf98
SHA256: 1cc80b812d853b31d915681070d3e3d66cd5b7e0df07b50eab5f9858f5032a57
SHA512: 04f04650746512bd6fae5b7c580718f468593f4b9957db91195b53c20323b81179478d748a79f8c2d6db172080e60bb3c12eaf0188a4531764ce08134f00fed4
Homepage: https://cran.r-project.org/package=WormTensor
Description: CRAN Package 'WormTensor' (A Clustering Method for Time-Series Whole-Brain Activity Data of'C. elegans')
 A toolkit to detect clusters from distance matrices.  The distance matrices
 are assumed to be calculated between the cells of multiple animals
 ('Caenorhabditis elegans') from input time-series matrices.  Some functions
 for generating distance matrices, performing clustering, evaluating the
 clustering, and visualizing the results of clustering and evaluation are
 available. We're also providing the download function to retrieve the
 calculated distance matrices from 'figshare' <https://figshare.com>.

Package: r-cran-worrms
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 189
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-crul, r-cran-tibble, r-cran-jsonlite, r-cran-data.table
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-worrms_0.4.3-1.ca2004.1_all.deb
Size: 97012
MD5sum: d3b6d46e7acfcdd118ae71546a501f9c
SHA1: 2840b6c1018b0f85f9a489b374aed453def8c033
SHA256: 1a56ceebfacbbe464e9362fda286bf7c16bc82fad0a6b92c2c15e232e5f43030
SHA512: 33b6706915aa52e51e8690bae2206d426f795014ed62161a80ee5add49505f139dcce9a2d247dfe975e92b88bedb1dc8987ce79645310784aebfae1a79c183fb
Homepage: https://cran.r-project.org/package=worrms
Description: CRAN Package 'worrms' (World Register of Marine Species (WoRMS) Client)
 Client for World Register of Marine Species
 (<https://www.marinespecies.org/>). Includes functions for each of the API
 methods, including searching for names by name, date and common names,
 searching using external identifiers, fetching synonyms, as well as fetching
 taxonomic children and taxonomic classification.

Package: r-cran-worrrd
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 471
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-magrittr, r-cran-stringr, r-cran-purrr, r-cran-yaml, r-cran-glue, r-cran-ggtext, r-cran-ggfittext, r-cran-cowplot
Suggests: r-cran-magick, r-cran-emoji, r-cran-rvest, r-cran-english, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-worrrd_0.1.0-1.ca2004.1_all.deb
Size: 407760
MD5sum: 6d7610bc545ec08ef19ad5add1137cf8
SHA1: f1c172c381380ba1d522969207f2ae5e104499fc
SHA256: 3e5125a77e274c1d27658685b036b556efd56c5f0bd82070fa92dc057d9ab217
SHA512: dcb16cfc75b1200f5e187641268a9a9e431bb619cd21de9c15012b72452d4ed552a8b9648245eefbb76ea4935b0f9307b12729c6a02358fb68310fd1178d057e
Homepage: https://cran.r-project.org/package=worrrd
Description: CRAN Package 'worrrd' (Generate Wordsearch and Crossword Puzzles)
 Generate wordsearch and crossword puzzles using custom lists of words (and
 clues).  Make them easy or hard, and print them to solve offline with paper
 and pencil!

Package: r-cran-wosr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 141
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-xml2, r-cran-jsonlite, r-cran-pbapply
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-dplyr
Filename: pool/dists/focal/main/r-cran-wosr_0.3.0-1.ca2004.1_all.deb
Size: 101792
MD5sum: 69e206a0530dc6a56cde2da2c8e89df4
SHA1: 2a67c3634b071cfb9ef9a79deeceb6503d3784a5
SHA256: 03cf1a03259952bcdaf4d6c732dfa44615f8cb6023cb3b7fe699d43a36999222
SHA512: 2d4563bfd4ca3667f575b37dff1a433f813267306655c0d21840b7163e71fbf0cf80e2cf676262576b414f6d2e5bc65c35f174a96e59e4f6ab627c7085b74bb5
Homepage: https://cran.r-project.org/package=wosr
Description: CRAN Package 'wosr' (Clients to the 'Web of Science' and 'InCites' APIs)
 R clients to the 'Web of Science' and 'InCites'
 <https://clarivate.com/products/data-integration/> APIs, which allow you to
 programmatically download publication and citation data indexed in the 'Web
 of Science' and 'InCites' databases.

Package: r-cran-wotply
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 218
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-network, r-cran-ggally, r-cran-sna
Suggests: r-cran-testthat, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-wotply_0.1.0-1.ca2004.1_all.deb
Size: 125836
MD5sum: e57949907b26d9a4ae50327517432c5a
SHA1: 3e7fca69140bb889fff1232ab500f589950c6317
SHA256: 9cfe96d741bf6a679e2fe0d9f50e6313e3c98748a429bb21ef96446d9106955b
SHA512: 1b725801a77b3907ef1c83a6a69b82e75cb93b3cbcce4be8c125117aaad8c2b063ca1d20c2357e72c6dbb49a0a9d1a6ee993c145aa75028e01e33b2f8688117b
Homepage: https://cran.r-project.org/package=WOTPLY
Description: CRAN Package 'WOTPLY' (Plot Connectivity Between Cells from Different Time Points)
 It shows the connections between selected clusters from the latest time
 point and the clusters from all the previous time points. The transition
 matrices between time point t and t+1 are obtained from Waddington-OT
 analysis <https://github.com/ScialdoneLab/WOTPLY>.

Package: r-cran-woylier
Architecture: all
Version: 0.0.9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 565
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-tourr, r-cran-geozoo, r-cran-dplyr, r-cran-tibble
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-purrr, r-cran-ggplot2, r-cran-ash, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-woylier_0.0.9-1.ca2004.1_all.deb
Size: 393808
MD5sum: b35a13ce9449d5a8bea4f0f45bca6334
SHA1: 008e5b7782534c972ddd39b51f6ca5974e25c2ab
SHA256: 7c166d4bff1eb0d40ecbce45f88ecb2b0f97e665c287be4759c78234cb8aad6b
SHA512: 8ba105a222332d4f827896a44af0e8a0cf03e8b49dca8638705cad3d41362bb652b479e1b3a6d7f202790b1a420697cc3302b96dd400c68ca743587072afe0dc
Homepage: https://cran.r-project.org/package=woylier
Description: CRAN Package 'woylier' (Alternative Tour Frame Interpolation Method)
 This method generates a tour path by interpolating between d-D frames in p-D
 using Givens rotations. The algorithm arises from the problem of zeroing
 elements of a matrix. This interpolation method is useful for showing
 specific d-D frames in the tour, as opposed to d-D planes, as done by the
 geodesic interpolation. It is useful for projection pursuit indexes which
 are not s invariant. See more details in Buj, Cook, Asimov and Hurley (2005)
 <doi:10.1016/S0169-7161(04)24014-7> and Batsaikhan, Cook and Laa (2023)
 <doi:10.48550/arXiv.2311.08181>.

Package: r-cran-wpa
Architecture: all
Version: 1.9.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2658
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-tidyselect, r-cran-magrittr, r-cran-purrr, r-cran-reshape2, r-cran-ggplot2, r-cran-ggrepel, r-cran-scales, r-cran-htmltools, r-cran-markdown, r-cran-rmarkdown, r-cran-networkd3, r-cran-dt, r-cran-tidytext, r-cran-ggraph, r-cran-igraph, r-cran-proxy, r-cran-ggwordcloud, r-cran-data.table
Suggests: r-cran-knitr, r-cran-extrafont, r-cran-lifecycle, r-cran-fst, r-cran-glue, r-cran-flexdashboard, r-cran-lmtest, r-cran-sandwich, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wpa_1.9.2-1.ca2004.1_all.deb
Size: 2405728
MD5sum: baf9fd1e6e88afd76534fc8e02f4d9a3
SHA1: 305f209275e946bde18592c30460010c4e56cc4a
SHA256: ad3a8293c000839cac42b6603ce47e1fdc15b4b90890e6f64f9f4adf66cbade9
SHA512: ea9b6f56b642208c4d25f5a6f4404f88a66a1dd38e1186c8edaf9777d728d54e80cc7c6e2bb2153ef97ee3a4391a894eab707d4c83a97d2079008dda58455a9d
Homepage: https://cran.r-project.org/package=wpa
Description: CRAN Package 'wpa' (Tools for Analysing and Visualising Viva Insights Data)
 Opinionated functions that enable easier and faster analysis of Viva
 Insights data. There are three main types of functions in 'wpa': (i)
 Standard functions create a 'ggplot' visual or a summary table based on a
 specific Viva Insights metric; (2) Report Generation functions generate HTML
 reports on a specific analysis area, e.g. Collaboration; (3) Other
 miscellaneous functions cover more specific applications (e.g. Subject Line
 text mining) of Viva Insights data.  This package adheres to 'tidyverse'
 principles and works well with the pipe syntax.  'wpa' is built with the
 beginner-to-intermediate R users in mind, and is optimised for simplicity.

Package: r-cran-wpc
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 118
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-msm
Filename: pool/dists/focal/main/r-cran-wpc_1.0-1.ca2004.1_all.deb
Size: 83576
MD5sum: 520c0ea9f9d61bff161a6254b45ba003
SHA1: cb5210f43c66d6ad9b7e83235e67127dbcd63545
SHA256: 09c69731f206e84073879837118a3890cc094e5d8fc44c91a93da2c352a89489
SHA512: 2d82b5cff75f7218e55249d6b3086814685c4b756b18479c89a5f6c174f758073b09b62d1e2f721b9c25e5a7b7ec5c5ec35f5c3a8b68d504a033de802c4c1a45
Homepage: https://cran.r-project.org/package=WPC
Description: CRAN Package 'WPC' (Weighted Predictiveness Curve)
 Implementing weighted predictiveness curve to visualize the
 marker-by-treatment relationship and measure the performance of biomarkers
 for guiding treatment decision.

Package: r-cran-wperm
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 151
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wperm_1.0.1-1.ca2004.1_all.deb
Size: 110628
MD5sum: 481cad4ea9d9a8a6fc8da13fd268acc4
SHA1: 5225157addd2133e9d57a5afdfb26f4311c84ffb
SHA256: 5127cf9fb1c4606cad5e065f4723f03056d1dd5163077bb4ec0ee587ea701deb
SHA512: e2e8cea0268daf3a2c60655f57a641d097616dc5117d01a6b4567479eb1d08c92db9f1612f38c07a46bf2945d675c1bbe7341fb92e121385c2f97df6b884a480
Homepage: https://cran.r-project.org/package=wPerm
Description: CRAN Package 'wPerm' (Permutation Tests)
 Supplies permutation-test alternatives to traditional hypothesis-test
 procedures such as two-sample tests for means, medians, and standard
 deviations; correlation tests; tests for homogeneity and independence; and
 more. Suitable for general audiences, including individual and group users,
 introductory statistics courses, and more advanced statistics courses that
 desire an introduction to permutation tests.

Package: r-cran-wpp2008
Architecture: all
Version: 1.0-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3739
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wpp2008_1.0-1-1.ca2004.1_all.deb
Size: 1040032
MD5sum: e1ba9688ca6b3670653bda221ee67795
SHA1: e69c85696b0dc4d8bc9f49fbec0a532ab592b5a6
SHA256: 1dc7ae283d80462c353b1bae2c12db158582550428bab94d73c9c3f19df02729
SHA512: dee63ee7d5c5545c52bf838747370dce674f8878674100a22c36ff56da5ac8b9212438f4250d53475ec7ef2658a666e7e6d4d33528dad5d203afa342e0f12888
Homepage: https://cran.r-project.org/package=wpp2008
Description: CRAN Package 'wpp2008' (World Population Prospects 2008)
 Data from the United Nation's World Population Prospects 2008

Package: r-cran-wpp2010
Architecture: all
Version: 1.2-0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6697
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wpp2010_1.2-0-1.ca2004.1_all.deb
Size: 1960820
MD5sum: 310a6dfc3030b92565fae6afb10649bb
SHA1: ccdf1dfae22066253f847a48ea3cc5e50b4935d7
SHA256: 9746826890be58428298fcb2d44ddb587df3eefeb9cebe7d7e6a6735a14eefcf
SHA512: aa72fc2848a5cfe89e29b10b64d15cce55af94bea13f8d18788dc60a6d321c51279fb414cede74b7673bbb7b584404f489a7a845cbc11e7bcd92c486661304c7
Homepage: https://cran.r-project.org/package=wpp2010
Description: CRAN Package 'wpp2010' (World Population Prospects 2010)
 Data from the United Nation's World Population Prospects 2010

Package: r-cran-wpp2012
Architecture: all
Version: 2.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 12850
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wpp2012_2.2-1-1.ca2004.1_all.deb
Size: 3381824
MD5sum: bd6e85c3cd17c7845edbbc2e951f1d84
SHA1: 483243bd0760f53488dc4869ab45bea8f01663de
SHA256: 12327d308401e09bea763f28843b161aed2b8be8c01b059402f235417eabb731
SHA512: 229790cbcae96ba9a3ba87b09f1a00c8c2023d30334039e2e2bef366c5c0364e25bc24bf4895ed1596d9b2c542151a5c1b3be7b9e5fce2aed1d7173afb2cb462
Homepage: https://cran.r-project.org/package=wpp2012
Description: CRAN Package 'wpp2012' (World Population Prospects 2012)
 Data from the United Nation's World Population Prospects 2012

Package: r-cran-wpp2015
Architecture: all
Version: 1.1-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11391
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-wpp2015_1.1-3-1.ca2004.1_all.deb
Size: 3169892
MD5sum: 976042edfeefa0925dd6eff582e581b5
SHA1: 408c4ad84c0656f8e2833ec369b5059e4d1edc87
SHA256: 0fc9941fbc04fd600f4db9ee9f92096a084099605ebb76a5016fbbf6e41fc629
SHA512: 72981123125742660400f4bc1db67d3ff69b3682982b41d6ae178c9cc5e1f27b6a24c5c82fe3a410ab8cbe9eeafeb16677bd538413a51c2b70807ac958b7c8a2
Homepage: https://cran.r-project.org/package=wpp2015
Description: CRAN Package 'wpp2015' (World Population Prospects 2015)
 Provides data from the United Nation's World Population Prospects 2015.

Package: r-cran-wpp2017
Architecture: all
Version: 1.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11565
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-wpp2017_1.2-3-1.ca2004.1_all.deb
Size: 3306244
MD5sum: 9cf0db6963c0a45e7a179344c8c45742
SHA1: 0b866dc47766d66dfed10a8eb387a21ba120b759
SHA256: 5e97d5b12872f43f4f5c39059174b53bd657da7f113e209e22fe525e369654e2
SHA512: e7e3b98b75cf2388ed9889f81d0c9ac267b3b6d8bfbc8e789004bdb07055eee4ba71958ff85936431a27ab87134814ee44ddb35006dbf65600f5f79a242c0be4
Homepage: https://cran.r-project.org/package=wpp2017
Description: CRAN Package 'wpp2017' (World Population Prospects 2017)
 Provides data from the United Nation's World Population Prospects 2017.

Package: r-cran-wpp2019
Architecture: all
Version: 1.1-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 11419
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-wpp2019_1.1-1-1.ca2004.1_all.deb
Size: 3258376
MD5sum: 25f76bfa125c011cc2d9b60871288112
SHA1: 641d7b6918c5f72f5b6333fb851549e6f588daa8
SHA256: ae39945a61ce6eedfb3c855323652d5b055bac08e711732ec34a820f0e136afb
SHA512: 15ce8a047c4ad4bf03e2bffb09b2f0077749ddcad4294524062c0825486aca8001436cf82b6fd5bb2f358bd8331a82be324f93a2ddd983317ac1b2ef9cc746f2
Homepage: https://cran.r-project.org/package=wpp2019
Description: CRAN Package 'wpp2019' (World Population Prospects 2019)
 Provides data from the United Nation's World Population Prospects 2019.

Package: r-cran-wppexplorer
Architecture: all
Version: 2.3-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 487
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-shinythemes, r-cran-shinyjs, r-cran-plyr, r-cran-reshape2, r-cran-googlevis, r-cran-wpp2019, r-cran-hmisc, r-cran-ggplot2, r-cran-dt
Suggests: r-cran-wpp2017, r-cran-wpp2015, r-cran-wpp2012, r-cran-wpp2010, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wppexplorer_2.3-4-1.ca2004.1_all.deb
Size: 427688
MD5sum: da9ff491b7568e2b226f52ec1ee0079a
SHA1: ff2049638550ba7fed49d76d0f5fb6fbb7ea6550
SHA256: 4ee344e17bb673cb985eb0c34dd45e4eb4e1d016b421c22036020935dad5668e
SHA512: 422cfad232c15955be62bd98b98bd275627fb9222c5784c5f2617c7078f95e30f07440013b90dfcd06bd39aa3f270fdc1c90dd6d4f22d0ec200053ee6ac68cc1
Homepage: https://cran.r-project.org/package=wppExplorer
Description: CRAN Package 'wppExplorer' (Explorer of World Population Prospects)
 Explore data in the 'wpp2019' (or 2017, 2015, ...) package using a 'shiny'
 interface.

Package: r-cran-wqc
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-waveslim, r-cran-qcsis, r-cran-lattice, r-cran-viridislite
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wqc_0.1.2-1.ca2004.1_all.deb
Size: 27396
MD5sum: eb74e992748012ad19224098467de249
SHA1: db7cacb936a9d67c8f63b11c926be29684e77563
SHA256: bfac57670c513bbc7ee83978ee444ebad37e16891b4a359013941a2df6e46936
SHA512: bce4a4350ac5cb5063f5680287057514befa10fd933e7e585b8d23c1b874917195b7378a7589b8ec55d01deda592a145eb277b23d931327091c1088cc7edbb5f
Homepage: https://cran.r-project.org/package=wqc
Description: CRAN Package 'wqc' (Wavelet Quantile Correlation Analysis)
 Estimate and plot wavelet quantile correlations(Kumar and Padakandla,2022)
 between two time series. Wavelet quantile correlation is used to capture the
 dependency between two time series across quantiles and different
 frequencies. This method is useful in identifying potential hedges and
 safe-haven instruments for investment purposes. See Kumar and
 Padakandla(2022) <doi:10.1016/j.frl.2022.102707> for further details.

Package: r-cran-wql
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3506
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-reshape2, r-cran-zoo
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wql_1.0.2-1.ca2004.1_all.deb
Size: 2026280
MD5sum: 1122ba6e7541a9b3997cf77281a3ad3b
SHA1: 946da3f6474277f4c0d02dac8ab80847c4294fe7
SHA256: 5197932b3239c6260cf4e30a36bf459b8b89a49693e1d8d945c9a25c13b0d164
SHA512: a2e49e793b76c88f860f4421c6fd1e80f1d13483d30d6fe3c0bb9f736da9ecd749e4773ff737f9fee2b4a6810e7f0f43e6680cd1a124cbce46c2ce57562c09cc
Homepage: https://cran.r-project.org/package=wql
Description: CRAN Package 'wql' (Exploring Water Quality Monitoring Data)
 Functions to assist in the processing and exploration of data from
 environmental monitoring programs.  The package name stands for "water
 quality" and reflects the original focus on time series data for physical
 and chemical properties of water, as well as the biota. Intended for
 programs that sample approximately monthly, quarterly or annually at
 discrete stations, a feature of many legacy data sets. Most of the functions
 should be useful for analysis of similar-frequency time series regardless of
 the subject matter.

Package: r-cran-wqm
Architecture: all
Version: 0.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1719
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-mbc, r-cran-waveletcomp, r-cran-matrixstats, r-cran-ggplot2
Suggests: r-cran-tidyr, r-cran-dplyr, r-cran-scales, r-cran-data.table, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-wqm_0.1.4-1.ca2004.1_all.deb
Size: 1202772
MD5sum: 1ffbb74403997f0731313594f76a5bb6
SHA1: e6ac319ae0cb12526e8102ff3a26c5753e73043a
SHA256: a6d6a56ace4a5c03eeba0d7958414ad4e681ea51abe05a05d723522f09cde37d
SHA512: 8f993db32649c83f48b802bb7d6b7eff66a59f565b2d2c20d92db87dd854cf30bfd08485113c96412278be5a5a6103eccdd6ca4caaa441ea6c9ccef07196cb0b
Homepage: https://cran.r-project.org/package=WQM
Description: CRAN Package 'WQM' (Wavelet-Based Quantile Mapping for Postprocessing NumericalWeather Predictions)
 The wavelet-based quantile mapping (WQM) technique is designed to correct
 biases in spatio-temporal precipitation forecasts across multiple time
 scales. The WQM method effectively enhances forecast accuracy by generating
 an ensemble of precipitation forecasts that account for uncertainties in the
 prediction process. For a comprehensive overview of the methodologies
 employed in this package, please refer to Jiang, Z., and Johnson, F. (2023)
 <doi:10.1029/2022EF003350>. The package relies on two packages for
 continuous wavelet transforms: 'WaveletComp', which can be installed
 automatically, and 'wmtsa', which is optional and available from the CRAN
 archive <https://cran.r-project.org/src/contrib/Archive/wmtsa/>. Users need
 to manually install 'wmtsa' from this archive if they prefer to use 'wmtsa'
 based decomposition.

Package: r-cran-wqs
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 138
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rsolnp, r-cran-glm2
Filename: pool/dists/focal/main/r-cran-wqs_0.0.1-1.ca2004.1_all.deb
Size: 108216
MD5sum: c7817bd80385f20fff600cc1c351320e
SHA1: 60b2f84f47891bb9b2bcd440da44944a3b88f5cb
SHA256: 759007388963c163116c388b162197f38d86c9bc161a24c38263cd6df1b0e7fc
SHA512: 5c6b8a766e0bc048275d48124dfa57af53fe03f47ba7fdb9140c76c9d0d4da4e9a6b40498b13e7efd133bf3b07057d2b92ec6915afa19390d27091d61cdc30cb
Homepage: https://cran.r-project.org/package=wqs
Description: CRAN Package 'wqs' (Weighted Quantile Sum Regression)
 Fits weighted quantile sum regression models, calculates weighted quantile
 sum index and estimated component weights.

Package: r-cran-wqspt
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 347
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-gwqs, r-cran-pbapply, r-cran-ggplot2, r-cran-mvtnorm, r-cran-viridis, r-cran-extradistr, r-cran-cowplot, r-cran-mass, r-cran-car, r-cran-future, r-cran-future.apply, r-cran-pscl, r-cran-reshape2, r-cran-nnet
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wqspt_1.0.2-1.ca2004.1_all.deb
Size: 208044
MD5sum: b45f98cff1603f6596b74ae545a9b80c
SHA1: 953897832ff88dc439bdf369d858c98820412fb4
SHA256: fd5f1502e96ac49fe10fca2cc8522a01d43541ecca44fc2d0bdc647cdcd0a230
SHA512: 8faf11b4637680c147e118df607f352973fc39bf8637ad486b402236e0777f32f6edd3c05a0c2ac71d4197020604c7bf4bf0bf51d7a49ba5ea0255eab92d3f12
Homepage: https://cran.r-project.org/package=wqspt
Description: CRAN Package 'wqspt' (Permutation Test for Weighted Quantile Sum Regression)
 Implements a permutation test method for the weighted quantile sum (WQS)
 regression, building off the 'gWQS' package (Renzetti et al.
 <https://CRAN.R-project.org/package=gWQS>). Weighted quantile sum regression
 is a statistical technique to evaluate the effect of complex exposure
 mixtures on an outcome (Carrico et al. 2015
 <doi:10.1007/s13253-014-0180-3>). The model features a statistical power and
 Type I error (i.e., false positive) rate trade-off, as there is a machine
 learning step to determine the weights that optimize the linear model fit.
 This package provides an alternative method based on a permutation test that
 should reliably allow for both high power and low false positive rate when
 utilizing WQS regression (Day et al. 2022 <doi:10.1289/EHP10570>).

Package: r-cran-wqtrends
Architecture: all
Version: 1.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4543
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-mgcv, r-cran-mixmeta, r-cran-plotly, r-cran-purrr, r-cran-tibble, r-cran-tidyr, r-cran-viridislite
Suggests: r-cran-testthat, r-cran-covr, r-cran-english, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wqtrends_1.5.0-1.ca2004.1_all.deb
Size: 1392300
MD5sum: 223a381f9b2d3c65b672fde835fd67d8
SHA1: 11fc8add815a844920badedb65988e8c22385e80
SHA256: aeec95744afa28c5c157fae20399e89710e5e3cd58dddb8b98da64a3ca77512f
SHA512: 96cf563b2968e269cd460cd3a225f476959ccc29eeab4db90d4dd3042a53047ae03c9ead79c9fb235acc7bf82e99ea16b79e88f9bfadd0397f2b89563c65408a
Homepage: https://cran.r-project.org/package=wqtrends
Description: CRAN Package 'wqtrends' (Assess Water Quality Trends with Generalized Additive Models)
 Assess Water Quality Trends for Long-Term Monitoring Data in Estuaries using
 Generalized Additive Models following Wood (2017)
 <doi:10.1201/9781315370279> and Error Propagation with Mixed-Effects
 Meta-Analysis following Sera et al. (2019) <doi:10.1002/sim.8362>.  Methods
 are available for model fitting, assessment of fit, annual and seasonal
 trend tests, and visualization of results.

Package: r-cran-wr
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 458
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival, r-cran-cubature, r-cran-gumbel
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wr_1.0-1.ca2004.1_all.deb
Size: 204920
MD5sum: c77e4b486f8fa5a6b857e590272339ac
SHA1: 9f983f254260f63119117f72e3fa348827604204
SHA256: 57fbd7ca4e45b302d373f08e6fd5344d56dc5dbfb63d723accf6d50481c82e95
SHA512: a6f8867d20f2256069ea64553054a3a867f7ce6aa1bda2e26749bb643d8e87af8373a39e1aa8c88fdfa512f107b8945526ead54eda050d92e4698b745be5d03d
Homepage: https://cran.r-project.org/package=WR
Description: CRAN Package 'WR' (Win Ratio Analysis of Composite Time-to-Event Outcomes)
 Implements various win ratio methodologies for composite endpoints of death
 and non-fatal events, including the (stratified) proportional win-fractions
 (PW) regression models (Mao and Wang, 2020 <doi:10.1111/biom.13382>),
 (stratified) two-sample tests with possibly recurrent nonfatal event, and
 sample size calculation for standard win ratio test (Mao et al., 2021
 <doi:10.1111/biom.13501>).

Package: r-cran-wrangle
Architecture: all
Version: 0.6.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-magrittr, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-wrangle_0.6.4-1.ca2004.1_all.deb
Size: 66588
MD5sum: 61cb3fb08dd6d5901ea40dc32a6d526e
SHA1: 6a18c7dc27546a7ddb5fe3bfa8c43bfc2c76fa7e
SHA256: 51f07830bf690c54df2cb5fcbf6777e04d6a4c60a64a3ff510c5ae5521fbcca1
SHA512: 9109ca4098de557d1dcb9f05e1f66c638ea595f0e6d111d3b48deff2905d2b2cef5b431787864358f426549e814ad6b8cbd84b359aff22f663a9cde65812d379
Homepage: https://cran.r-project.org/package=wrangle
Description: CRAN Package 'wrangle' (A Systematic Data Wrangling Idiom)
 Supports systematic scrutiny, modification, and integration of data. The
 function status() counts rows that have missing values in grouping columns
 (returned by na() ), have non-unique combinations of grouping columns
 (returned by dup() ), and that are not locally sorted (returned by
 unsorted() ). Functions enumerate() and itemize() give sorted unique
 combinations of columns, with or without occurrence counts, respectively.
 Function ignore() drops columns in x that are present in y, and
 informative() drops columns in x that are entirely NA; constant() returns
 values that are constant, given a key.  Data that have defined unique
 combinations of grouping values behave more predictably during merge
 operations.

Package: r-cran-wrappedtools
Architecture: all
Version: 0.9.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 703
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-boot, r-cran-knitr, r-cran-coin, r-cran-dplyr, r-cran-forcats, r-cran-purrr, r-cran-glue, r-cran-rlang, r-cran-stringr, r-cran-ggplot2, r-cran-tibble, r-cran-tidyr, r-cran-kableextra, r-cran-lifecycle, r-cran-broom, r-cran-rlist, r-cran-desctools, r-cran-flextable, r-cran-nortest
Suggests: r-cran-rmarkdown, r-cran-testthat, r-cran-ggrepel
Filename: pool/dists/focal/main/r-cran-wrappedtools_0.9.7-1.ca2004.1_all.deb
Size: 338052
MD5sum: 0fbd4df540a89dda5c05a2a89bccd083
SHA1: a9dcc1b83dc029769f6195a2f51bbab952dd68d8
SHA256: 91fce280c06c5abf6641d0b945f1c0967ca9d18bafb4b061a8c53bedffa57cd2
SHA512: 8b8fd957975c4a3f84f376fe66506a2f7dfb3965bb0615076b5393345847360d240402fdf5fa399792991b0aec16acf06b64c23fae31f5c9bab4592c9d36a5b5
Homepage: https://cran.r-project.org/package=wrappedtools
Description: CRAN Package 'wrappedtools' (Useful Wrappers Around Commonly Used Functions)
 The main functionalities of 'wrappedtools' are: adding backticks to variable
 names; rounding to desired precision with special case for p-values;
 selecting columns based on pattern and storing their position, name, and
 backticked name; computing and formatting of descriptive statistics (e.g.
 mean±SD), comparing groups and creating publication-ready tables with
 descriptive statistics and p-values; creating specialized plots for
 correlation matrices. Functions were mainly written for my own daily work or
 teaching, but may be of use to others as well.

Package: r-cran-wrappr
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 200
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wrappr_0.1.0-1.ca2004.1_all.deb
Size: 80692
MD5sum: 181ebcb39fda80ac321a1f5ed7863ead
SHA1: 5f4dbfc45c15917ea4c7d0e1457749320ab287fd
SHA256: d362eeafc6db59dc6ee985483946140308bf16ffb654d4c0473b4de34767554d
SHA512: df26f22ceee718a2ed5aeab6f6299599edfabde1179205428fb4924a12adac70ed745947c282a63fbe9bed3546f56da59659813fad7a38cd625bd3a096078aa2
Homepage: https://cran.r-project.org/package=wrappr
Description: CRAN Package 'wrappr' (A Collection of Helper and Wrapper Functions)
 Helper functions to easily add functionality to functions.  The package can
 assign functions to have an lazy evaluation allowing you to save and update
 the arguments before and after each function call.  You can set a temporary
 working directory within functions and wrap console messages around other
 functions.

Package: r-cran-wrapr
Architecture: all
Version: 2.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1176
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-r.rsp, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-wrapr_2.1.0-1.ca2004.1_all.deb
Size: 667288
MD5sum: b9f1f76bd8cdb5abd67b2a5c02813084
SHA1: 38235257bd18db70c515bc575716dc02302e131a
SHA256: 02a86cedd24eaedb842d804face20c07657466cfcad0235930f115bb998e7037
SHA512: b72f95158f2316300426fa864d20c0741aea979012c4dcd3b97aaf4f5d9e6d04e2e9f15c5fbba511e817da01a4faa6c5b273c15f690ac1bc2d8f2d2d6c154c62
Homepage: https://cran.r-project.org/package=wrapr
Description: CRAN Package 'wrapr' (Wrap R Tools for Debugging and Parametric Programming)
 Tools for writing and debugging R code. Provides: '%.>%' dot-pipe (an 'S3'
 configurable pipe), unpack/to (R style multiple assignment/return),
 'build_frame()'/'draw_frame()' ('data.frame' example tools), 'qc()' (quoting
 concatenate), ':=' (named map builder), 'let()' (converts non-standard
 evaluation interfaces to parametric standard evaluation interfaces, inspired
 by 'gtools::strmacro()' and 'base::bquote()'), and more.

Package: r-cran-wrensbookshelf
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-wrensbookshelf_0.1.0-1.ca2004.1_all.deb
Size: 43308
MD5sum: 5d07bd2fb88ca136be4c71434035b524
SHA1: 02a19fcf1c64527f2bc70bcb31cd21e3b251603b
SHA256: e93db9b51ec655bc6321ef41a94fe1dd26e2e178b95c9b7a5a54e2c0bea87673
SHA512: 0c8b5af5d6ce0ccd32e95a0d3b4e27434d4b0639de93d81c9c54c569514db2ccf828cde629e4851d6a0e395b67b2a1799b26206b69d6f3e3094681291da55a0e
Homepage: https://cran.r-project.org/package=WrensBookshelf
Description: CRAN Package 'WrensBookshelf' (A Collection of Palettes and Some Functions to Help Use Them)
 A collection of color palettes that were extracted from various books on my
 sons(Wren) bookshelf. Also included are a number of functions and wrappers
 to utilize them, as well as to subset the palettes to desired
 number/specific colors.

Package: r-cran-wrestimates
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wrestimates_0.1.0-1.ca2004.1_all.deb
Size: 33592
MD5sum: a5b43a820df4897b7021496b23e5a7eb
SHA1: c91026f715f686ebe9ab3ed026ba0f379ef2a2ab
SHA256: 2fd518edcc795d23941e750bbbc50f1424cfbfb9b23607aea25c84cd6eacec65
SHA512: 7770061b63d731cd46839e1a5e20a2986e610090b6ee3f83567f252c41b94e6159c927c1f07b7942d63f727faa2c8df7955f25fd1a855bf36ebcfed942edaf70
Homepage: https://cran.r-project.org/package=WRestimates
Description: CRAN Package 'WRestimates' (Sample Size, Power and CI for the Win Ratio)
 Calculates non-parametric estimates of the sample size, power and confidence
 intervals for the win-ratio. For more detail on the theory behind the
 methodologies implemented see Yu, R. X. and Ganju, J. (2022)
 <doi:10.1002/sim.9297>.

Package: r-cran-wrgraph
Architecture: all
Version: 1.3.10-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1678
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-lattice, r-cran-rcolorbrewer, r-cran-wrmisc
Suggests: r-cran-dplyr, r-cran-factoextra, r-cran-factominer, r-cran-ggpubr, r-cran-knitr, r-bioc-limma, r-cran-rmarkdown, r-cran-sm
Filename: pool/dists/focal/main/r-cran-wrgraph_1.3.10-1.ca2004.1_all.deb
Size: 1233720
MD5sum: 4441903da1515bc96030d1555ee9d533
SHA1: b398af901889161fdcf4ff12a61758046b41687e
SHA256: 0f4fc5d416e93b9ab231095d8821a4ad0e821e024fea61ad8acc8a9f7544c797
SHA512: 3fa4435248d333828769763b4ce7f81da3c640a1ddc7c4b7e509755c2a2eec46651accbc80ca80186dad5c5dedfb7c711502224d0a13d5f1eaf6f7ac24cb5455
Homepage: https://cran.r-project.org/package=wrGraph
Description: CRAN Package 'wrGraph' (Graphics in the Context of Analyzing High-Throughput Data)
 Additional options for making graphics in the context of analyzing
 high-throughput data are available here.  This includes automatic segmenting
 of the current device (eg window) to accommodate multiple new plots,
 automatic checking for optimal location of legends in plots, small
 histograms to insert as legends, histograms re-transforming axis labels to
 linear when plotting log2-transformed data, a violin-plot
 <doi:10.1080/00031305.1998.10480559> function for a wide variety of
 input-formats, principal components analysis (PCA)
 <doi:10.1080/14786440109462720> with bag-plots
 <doi:10.1080/00031305.1999.10474494> to highlight and compare the center
 areas for groups of samples, generic MA-plots (differential- versus
 average-value plots) <doi:10.1093/nar/30.4.e15>, staggered count plots and
 generation of mouse-over interactive html pages.

Package: r-cran-wrightmap
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 600
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rcolorbrewer
Filename: pool/dists/focal/main/r-cran-wrightmap_1.4-1.ca2004.1_all.deb
Size: 232936
MD5sum: 7b51a0a7b4ff50133e62242424e05f00
SHA1: e4c993314abb5c624391498a1e44a81b65a6822d
SHA256: 2bebe5ebc42f46a51af897a09e042fe2464a2c6f024342adcc13af7e863f324c
SHA512: 7687dc40416c6a128afd31d703938b7f5990d60fdca2a1c35292313bfad22079d2b32911d316f8ac30fdf0973961e8a5da8b8255fcb98b0a78aa6455c56f36bb
Homepage: https://cran.r-project.org/package=WrightMap
Description: CRAN Package 'WrightMap' (IRT Item-Person Map with 'ConQuest' Integration)
 A powerful yet simple graphical tool available in the field of psychometrics
 is the Wright Map (also known as item maps or item-person maps), which
 presents the location of both respondents and items on the same scale.
 Wright Maps are commonly used to present the results of dichotomous or
 polytomous item response models. The 'WrightMap' package provides functions
 to create these plots from item parameters and person estimates stored as R
 objects. Although the package can be used in conjunction with any software
 used to estimate the IRT model (e.g. 'TAM', 'mirt', 'eRm' or 'IRToys' in
 'R', or 'Stata', 'Mplus', etc.), 'WrightMap' features special integration
 with 'ConQuest' to facilitate reading and plotting its output directly.The
 'wrightMap' function creates Wright Maps based on person estimates and item
 parameters produced by an item response analysis. The 'CQmodel' function
 reads output files created using 'ConQuest' software and creates a set of
 data frames for easy data manipulation, bundled in a 'CQmodel' object. The
 'wrightMap' function can take a 'CQmodel' object as input or it can be used
 to create Wright Maps directly from data frames of person and item
 parameters.

Package: r-cran-write.snns
Architecture: all
Version: 0.0-4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 42
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-write.snns_0.0-4.2-1.ca2004.1_all.deb
Size: 11288
MD5sum: f85e6e16bc48dbbeb6da0818f7e8fbd6
SHA1: 53ab9496e28e82dcdd54ae867ccaece7d8a8eb30
SHA256: a39166b67105fb7b3595a51ae51364b15b78b21ff37e56d3dd9d4ec8ea52c187
SHA512: b3f63a5c02a1020366f8fed4aaed29ab1739b96f254c2ef91f92d02901e6ac0bd22ac815f7696d32c446e02179e7f796d1599847a52920e1072428f191e11cb1
Homepage: https://cran.r-project.org/package=write.snns
Description: CRAN Package 'write.snns' (Function for exporting data to SNNS pattern files)
 Function for writing a SNNS pattern file from a data.frame or matrix.

Package: r-cran-writer
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 403
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dbi, r-cran-dplyr, r-cran-dbplyr, r-cran-glue, r-cran-cli, r-cran-rlang
Suggests: r-cran-rsqlite, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-writer_0.1.0-1.ca2004.1_all.deb
Size: 344780
MD5sum: 68539ed0d13ecb3acd9a7715968fb35e
SHA1: c6d4cb3b88a6ff77d3f8a56caea841bcd22be5dc
SHA256: ea4713944126d83ea5ca777100d368b076e6cbc7f51253427bfc5991e7f30a8d
SHA512: 2af44857860b33ecdbb55db48a6c250caa9f7cad7fbcd4bc3415e076674bb5bedba10cb1ea2ede5e709b604d5ea1defa863679a19d1e12727bce1ba650c96825
Homepage: https://cran.r-project.org/package=writer
Description: CRAN Package 'writer' (Write from Multiple Sources to a Database Table)
 Provides unified syntax to write data from lazy 'dplyr' 'tbl' or 'dplyr'
 'sql' query or a dataframe to a database table with modes such as create,
 append, insert, update, upsert, patch, delete, overwrite, overwrite_schema.

Package: r-cran-writexls
Architecture: all
Version: 6.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3821
Depends: r-base-core (>= 4.5.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-writexls_6.8.0-1.ca2004.1_all.deb
Size: 554320
MD5sum: 2a01c45c1e1539c844d649e9a21324b7
SHA1: 795d87f7338833f6f79027dd8ecafa93a819c045
SHA256: 0d1d145e69f1c3c75bec7db7f5ee5da224dcce360a75176f9773b01311aa2926
SHA512: 150c58d2c9cf81ca0a4efd2d79ca9e0d2f8fa34cc935be77c0b166fc50dad51205cb338837ea016bc3b4bf3e06edd103aa85ec2ca80e1e68a45ff3e02f80646a
Homepage: https://cran.r-project.org/package=WriteXLS
Description: CRAN Package 'WriteXLS' (Cross-Platform Perl Based R Function to Create Excel 2003 (XLS)and Excel 2007 (XLSX) Files)
 Cross-platform Perl based R function to create Excel 2003 (XLS) and Excel
 2007 (XLSX) files from one or more data frames. Each data frame will be
 written to a separate named worksheet in the Excel spreadsheet.  The
 worksheet name will be the name of the data frame it contains or can be
 specified by the user.

Package: r-cran-wrmisc
Architecture: all
Version: 1.15.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2411
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass
Suggests: r-cran-bbmisc, r-cran-boot, r-cran-coin, r-cran-data.table, r-cran-data.tree, r-cran-fdrtool, r-cran-flexclust, r-cran-knitr, r-bioc-limma, r-cran-markdown, r-cran-mixdist, r-cran-nbclust, r-bioc-preprocesscore, r-bioc-qvalue, r-cran-rcpp, r-cran-rcolorbrewer, r-cran-readxl, r-cran-rmarkdown, r-cran-som, r-cran-stringi, r-cran-vgam, r-bioc-vsn, r-cran-wrgraph
Filename: pool/dists/focal/main/r-cran-wrmisc_1.15.4-1.ca2004.1_all.deb
Size: 1871032
MD5sum: bd6275bc32aef837d6e920e011a3569e
SHA1: 8066d1bbe398ffa76335f0a64b9541b41785552c
SHA256: 30e389ca83486879a7196e3f578449bbc7f65bb44b278ff3264f154bf3e6aa91
SHA512: 7c9a71c1fdd73904eb671fbedf9a159e4cfa440f6b27d1c77e74b1faad0146ecca5922de10bf0ac78d1e4cb609038edfc3cecb9df132f5f29a3dfdfa58a4c1a1
Homepage: https://cran.r-project.org/package=wrMisc
Description: CRAN Package 'wrMisc' (Analyze Experimental High-Throughput (Omics) Data)
 The efficient treatment and convenient analysis of experimental
 high-throughput (omics) data gets facilitated through this collection of
 diverse functions.  Several functions address advanced object-conversions,
 like manipulating lists of lists or lists of arrays, reorganizing lists to
 arrays or into separate vectors, merging of multiple entries, etc.  Another
 set of functions provides speed-optimized calculation of standard deviation
 (sd), coefficient of variance (CV) or standard error of the mean (SEM) for
 data in matrixes or means per line with respect to additional grouping (eg n
 groups of replicates).  A group of functions facilitate dealing with
 non-redundant information, by indexing unique, adding counters to redundant
 or eliminating lines with respect redundancy in a given reference-column,
 etc.  Help is provided to identify very closely matching numeric values to
 generate (partial) distance matrixes for very big data in a memory efficient
 manner or to reduce the complexity of large data-sets by combining very
 close values.  Other functions help aligning a matrix or data.frame to a
 reference using partial matching or to mine an experimental setup to extract
 patterns of replicate samples.  Many times large experimental datasets need
 some additional filtering, adequate functions are provided.  Convenient data
 normalization is supported in various different modes, parameter estimation
 via permutations or boot-strap as well as flexible testing of multiple
 pair-wise combinations using the framework of 'limma' is provided, too.
 Batch reading (or writing) of sets of files and combining data to arrays is
 supported, too.

Package: r-cran-wrproteo
Architecture: all
Version: 1.13.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7060
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-knitr, r-bioc-limma, r-cran-wrmisc
Suggests: r-cran-data.table, r-cran-fdrtool, r-cran-kableextra, r-cran-mass, r-cran-rcolorbrewer, r-cran-readxl, r-bioc-rots, r-cran-rmarkdown, r-cran-r.utils, r-cran-sm, r-cran-wrgraph
Filename: pool/dists/focal/main/r-cran-wrproteo_1.13.1-1.ca2004.1_all.deb
Size: 5179004
MD5sum: ccdcd488b05f1a8f46ed61b27d633328
SHA1: 9f2ef6d78f5616f2dd3acf99621f178623ff65c6
SHA256: 386fbdd2e414a04a00a3adcc588d7919ea56604df8b7af0b63cd43e8dc2483b1
SHA512: 0687ebc73dac4b88be5fb445a48f51015da7b04f147f589975a3e13aef4f3738d022a25413f4feb6dd4a14cdf006ca23639157eca6374b7521387f769776e1d3
Homepage: https://cran.r-project.org/package=wrProteo
Description: CRAN Package 'wrProteo' (Proteomics Data Analysis Functions)
 Data analysis of proteomics experiments by mass spectrometry is supported by
 this collection of functions mostly dedicated to the analysis of (bottom-up)
 quantitative (XIC) data.  Fasta-formatted proteomes (eg from UniProt
 Consortium <doi:10.1093/nar/gky1049>) can be read with automatic parsing and
 multiple annotation types (like species origin, abbreviated gene names, etc)
 extracted.  Initial results from multiple software for protein (and peptide)
 quantitation can be imported (to a common format): MaxQuant (Tyanova et al
 2016 <doi:10.1038/nprot.2016.136>), Dia-NN (Demichev et al 2020
 <doi:10.1038/s41592-019-0638-x>), Fragpipe (da Veiga et al 2020
 <doi:10.1038/s41592-020-0912-y>), ionbot (Degroeve et al 2021
 <doi:10.1101/2021.07.02.450686>), MassChroq (Valot et al 2011
 <doi:10.1002/pmic.201100120>), OpenMS (Strauss et al 2021
 <doi:10.1038/nmeth.3959>), ProteomeDiscoverer (Orsburn 2021
 <doi:10.3390/proteomes9010015>), Proline (Bouyssie et al 2020
 <doi:10.1093/bioinformatics/btaa118>), AlphaPept (preprint Strauss et al
 <doi:10.1101/2021.07.23.453379>) and Wombat-P (Bouyssie et al 2023
 <doi:10.1021/acs.jproteome.3c00636>.  Meta-data provided by initial analysis
 software and/or in sdrf format can be integrated to the analysis.
 Quantitative proteomics measurements frequently contain multiple NA values,
 due to physical absence of given peptides in some samples, limitations in
 sensitivity or other reasons.  Help is provided to inspect the data
 graphically to investigate the nature of NA-values via their respective
 replicate measurements and to help/confirm the choice of NA-replacement
 algorithms.  Meta-data in sdrf-format (Perez-Riverol et al 2020
 <doi:10.1021/acs.jproteome.0c00376>) or similar tabular formats can be
 imported and included.  Missing values can be inspected and imputed based on
 the concept of NA-neighbours or other methods.  Dedicated filtering and
 statistical testing using the framework of package 'limma'
 <doi:10.18129/B9.bioc.limma> can be run, enhanced by multiple rounds of
 NA-replacements to provide robustness towards rare stochastic events.
 Multi-species samples, as frequently used in benchmark-tests (eg Navarro et
 al 2016 <doi:10.1038/nbt.3685>, Ramus et al 2016
 <doi:10.1016/j.jprot.2015.11.011>), can be run with special options
 considering such sub-groups during normalization and testing. Subsequently,
 ROC curves (Hand and Till 2001 <doi:10.1023/A:1010920819831>) can be
 constructed to compare multiple analysis approaches.  As detailed example
 the data-set from Ramus et al 2016 <doi:10.1016/j.jprot.2015.11.011>)
 quantified by MaxQuant, ProteomeDiscoverer, and Proline is provided with a
 detailed analysis of heterologous spike-in proteins.

Package: r-cran-wrs2
Architecture: all
Version: 1.1-7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1072
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-reshape, r-cran-plyr
Suggests: r-cran-knitr, r-cran-car, r-cran-ggplot2, r-cran-colorspace, r-cran-mediation, r-cran-ggally, r-cran-codetools
Filename: pool/dists/focal/main/r-cran-wrs2_1.1-7-1.ca2004.1_all.deb
Size: 958856
MD5sum: 3e903b07881eb4207238570d6f606eb1
SHA1: 618f35ae896b2f4a5f63ad44ad5299b56a0ec09f
SHA256: d2c5c8fe56e3d597b4c9f32aee73f48495fd5a066f2f61596b42b8c75cf6b5dc
SHA512: 3afa56dcf6093878341ac33b366133991cbe902427fa7379996ace3dfaff6bf9a52591744de44e1bcddbfe0f9de2d3a04b8c1900f186a3ea94d30b8cbc459a8f
Homepage: https://cran.r-project.org/package=WRS2
Description: CRAN Package 'WRS2' (A Collection of Robust Statistical Methods)
 A collection of robust statistical methods based on Wilcox' WRS functions.
 It implements robust t-tests (independent and dependent samples), robust
 ANOVA (including between-within subject designs), quantile ANOVA, robust
 correlation, robust mediation, and nonparametric ANCOVA models based on
 robust location measures.

Package: r-cran-wrss
Architecture: all
Version: 3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2287
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-hmisc, r-cran-nloptr, r-cran-ggplot2, r-cran-ggally, r-cran-network
Filename: pool/dists/focal/main/r-cran-wrss_3.1-1.ca2004.1_all.deb
Size: 2088104
MD5sum: 2458a5d68cd89f124659e36aeecd043b
SHA1: 54cf9c9dbafab24a6accf4e04aaef79cbda653e9
SHA256: d5657fe4d8e03336c043c9fbdaec63b9047e3af742a8da9da448d2dec245854b
SHA512: 7f071512d034891ead36a99a228510bf63ff5cb42824c9a02a982bbdd9f5e2c0b5d088e9116ff390f52bd42356d83b04eec1db04fdea5847c19f128cc9d3704f
Homepage: https://cran.r-project.org/package=WRSS
Description: CRAN Package 'WRSS' (Water Resources System Simulator)
 Water resources system simulator is a tool for simulation and analysis of
 large-scale water resources systems. 'WRSS' proposes functions and methods
 for construction, simulation and analysis of primary storage and hydropower
 water resources features (e.g. reservoirs, aquifers, and etc.) based on
 Standard Operating Policy (SOP).

Package: r-cran-wrtdstidal
Architecture: all
Version: 1.1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 5433
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ggplot2, r-cran-caret, r-cran-dplyr, r-cran-fields, r-cran-foreach, r-cran-forecast, r-cran-gridextra, r-cran-lubridate, r-cran-purrr, r-cran-quantreg, r-cran-rcolorbrewer, r-cran-survival, r-cran-tidyr
Suggests: r-cran-doparallel, r-cran-egret, r-cran-magrittr, r-cran-plotly, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wrtdstidal_1.1.4-1.ca2004.1_all.deb
Size: 2272044
MD5sum: cbcbd316e4bf9dd5ea86201a28048450
SHA1: 0a4bdd7c7a2ca631185cbacf0603bb55120c6912
SHA256: e1c0621148c10d4680c6b4183714af3b901211a65a559d779379239e3bf515f6
SHA512: 37c9d254e318849dbf190524258ab1668044c6d601bd2d921032a7461b57a2a87155149dd57e88ecd392efa731acf7ffc55f64ea3fa1da8fd1d0e627d3415f71
Homepage: https://cran.r-project.org/package=WRTDStidal
Description: CRAN Package 'WRTDStidal' (Weighted Regression for Water Quality Evaluation in Tidal Waters)
 An adaptation for estuaries (tidal waters) of weighted regression on time,
 discharge, and season to evaluate trends in water quality time series.
 Please see Beck and Hagy (2015) <doi:10.1007/s10666-015-9452-8> for details.

Package: r-cran-wrtopdownfrag
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 522
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-wrmisc, r-cran-wrproteo
Suggests: r-bioc-biocparallel, r-cran-knitr, r-bioc-preprocesscore, r-cran-rcolorbrewer, r-cran-rmarkdown, r-cran-wrgraph
Filename: pool/dists/focal/main/r-cran-wrtopdownfrag_1.0.4-1.ca2004.1_all.deb
Size: 405580
MD5sum: de320b13a1c890fb6ad6f1f68c0618dc
SHA1: 2627d6d9ab597663ced37ebdcbc99b445ca98c94
SHA256: 6970a29f03446ce37451ebb991f44a6d3a44d539d9c674873f50cb62e096d168
SHA512: 052d1b9a625f94cdd04d89ab121ffda99de0da23803f06a029938887c7643e014df7a4245ac03282181c312265eeac2c70606c066b835a08e196580d0893d8f4
Homepage: https://cran.r-project.org/package=wrTopDownFrag
Description: CRAN Package 'wrTopDownFrag' (Internal Fragment Identification from Top-Down Mass Spectrometry)
 Top-Down mass spectrometry aims to identify entire proteins as well as their
 (post-translational) modifications or ions bound (eg Chen et al (2018)
 <doi:10.1021/acs.analchem.7b04747>).  The pattern of internal fragments
 (Haverland et al (2017) <doi:10.1007/s13361-017-1635-x>) may reveal
 important information about the original structure of the proteins studied
 (Skinner et al (2018) <doi:10.1038/nchembio.2515> and Li et al (2018)
 <doi:10.1038/nchem.2908>).  However, the number of possible internal
 fragments gets huge with longer proteins and subsequent identification of
 internal fragments remains challenging, in particular since the the accuracy
 of measurements with current mass spectrometers represents a limiting
 factor.  This package attempts to deal with the complexity of internal
 fragments and allows identification of terminal and internal fragments from
 deconvoluted mass-spectrometry data.

Package: r-cran-wsjplot
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 317
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-magrittr, r-cran-stringr, r-cran-scales, r-cran-dplyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wsjplot_0.1.0-1.ca2004.1_all.deb
Size: 250984
MD5sum: 7f2cd986e1bbb0c59fe461123988e0fe
SHA1: 9d8e7b7f6409c58cf6e921f520c42f9360b402ef
SHA256: 9ec1511a3e18782e21515d341a3790bc26b438678650ca1cabd41da91c3aeef0
SHA512: 4f687cef3523fb418f508cbbd64ab9af68f63d669aa1afc2381cc4fdd813ba554d6e138caa63b6d8a49a99cf1ffaa2cc8437111aaeda251f9068a22fec297632
Homepage: https://cran.r-project.org/package=wsjplot
Description: CRAN Package 'wsjplot' (Style Time Series Plots Like the Wall Street Journal)
 Easily override the default visual choices in 'ggplot2' to make your time
 series plots look more like the Wall Street Journal. Specific theme design
 choices include omitting x-axis grid lines and displaying sparse light grey
 y-axis grid lines. Additionally, this allows to label the y-axis scales with
 your units only displayed on the top-most number, while also removing the
 bottom most number (unless specifically overridden). The goal is visual
 simplicity, because who has time to waste looking at a cluttered graph?

Package: r-cran-wsprv
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-glmnet, r-cran-mnormt
Filename: pool/dists/focal/main/r-cran-wsprv_0.1.0-1.ca2004.1_all.deb
Size: 23392
MD5sum: 0fbb13df1d511eabf92d866e0102a656
SHA1: b52f26eed13f762437cc76030525c6dcb0fc5a56
SHA256: a0bb613aabba10e91e2eaf4e28d0dca58244a55a78aae4f96777e6a32a00868d
SHA512: 7f7519835f557752ffd255f0f9138a3d1a3006ce337c96ab1e414fce04d30185e7f99fdcdbdb470b8f6f5823cb6b52405d371b57ae83c4e45804a7030e33c1e3
Homepage: https://cran.r-project.org/package=wsprv
Description: CRAN Package 'wsprv' (Weighted Selection Probability for Rare Variant Analysis)
 A weighted selection probability to locate rare variants associated with
 multiple phenotypes.

Package: r-cran-wsyn
Architecture: all
Version: 1.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2209
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fields, r-cran-mass
Suggests: r-cran-knitr, r-cran-mvtnorm, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-wsyn_1.0.4-1.ca2004.1_all.deb
Size: 1843396
MD5sum: 4de885ad62dfee60692c6d42548f9205
SHA1: 33e46ca07b78d247ca219382dd19a0936e946ce4
SHA256: 3d4568188cd70e1c5b593a244fba7fd0d3d6e96699247f337302fb4d334314ce
SHA512: 7e33d4cd4148df3d21501c868acea13a09f0dc5e5b8d577e352a4bca49af6ea88361ccd384dd39414170e20cf73b567244884f238b37a30d970d3f3ff6127cdf
Homepage: https://cran.r-project.org/package=wsyn
Description: CRAN Package 'wsyn' (Wavelet Approaches to Studies of Synchrony in Ecology and OtherFields)
 Tools for a wavelet-based approach to analyzing spatial synchrony,
 principally in ecological data. Some tools will be useful for studying
 community synchrony. See, for instance, Sheppard et al (2016) <doi:
 10.1038/NCLIMATE2991>, Sheppard et al (2017) <doi: 10.1051/epjnbp/2017000>,
 Sheppard et al (2019) <doi: 10.1371/journal.pcbi.1006744>.

Package: r-cran-wto
Architecture: all
Version: 2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 280
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-igraph, r-cran-magrittr, r-cran-plyr, r-cran-som, r-cran-visnetwork, r-cran-reshape2, r-cran-rfast, r-cran-hiclimr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wto_2.1-1.ca2004.1_all.deb
Size: 174000
MD5sum: 78235bcaaf8988440c9df636f36825ba
SHA1: ed1a30acf4b972d30d3352ed2692c24c621f4790
SHA256: d637f8b856e2a86b09df3e65ab7f176982731ecc4e8b036d55fdca6f80bf79c3
SHA512: c6f355c42ef1f56188bab3067806e031978276b31d1c5fbf745aeaef84a85c85a2db989e0ee3ca6fc429971bce44802edd315c98acc90f47cadd424afde419c9
Homepage: https://cran.r-project.org/package=wTO
Description: CRAN Package 'wTO' (Computing Weighted Topological Overlaps (wTO) & Consensus wTONetwork)
 Computes the Weighted Topological Overlap with positive and negative signs
 (wTO) networks given a data frame containing the mRNA count/ expression/
 abundance per sample, and a vector containing the interested nodes of
 interaction (a subset of the elements of the full data frame). It also
 computes the cut-off threshold or p-value based on the individuals bootstrap
 or the values reshuffle per individual. It also allows the construction of a
 consensus network, based on multiple wTO networks. The package includes a
 visualization tool for the networks.  More about the methodology can be
 found at <doi:10.1186/s12859-018-2351-7>.

Package: r-cran-wttopsis
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-wttopsis_1.0-1.ca2004.1_all.deb
Size: 44100
MD5sum: f1e2bcac0202cf9b6b68b6030b51f742
SHA1: 19a0c335316341eaaa907e1ec220454dc3938a15
SHA256: 5b3ceff7a5dfd4481f637297a0c2d4a273740440074a6ac95022fe27fecfa463
SHA512: 47d1b420858496187a478ba6cebb21f536d4870cc9ca8c0dd45360f795056037b2d18817abf146e13ed37eaf112b4b8132a274149b8408806034c0b38219077a
Homepage: https://cran.r-project.org/package=WtTopsis
Description: CRAN Package 'WtTopsis' (Weighted Method for Multiple-Criteria Decision Making)
 Evaluation of alternatives based on multiple criteria using weighted
 technique for Order preference by similarity to an ideal solution method.
 Reference: Hwang CL. (1981, ISBN:978-3-540-10558-9).

Package: r-cran-wufoor
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 122
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-dplyr
Suggests: r-cran-roxygen2, r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-wufoor_1.0.1-1.ca2004.1_all.deb
Size: 69372
MD5sum: 1130ae1008123d84d3892b2fcf277d89
SHA1: c98d72f8084d8fa77e27f0c732ec146d025135d4
SHA256: b49148fe53f47133aef9ea92afbd1f9e936b650ff6559ee2e2d0d87ade2b1c4a
SHA512: d377b54188b9283ddb0a94e8c9c6616645813326138a9f221b9663485ac8394384358966f5e7945c34c944f63d5ff3123204e3237806c4de6d11a1039effb1c3
Homepage: https://cran.r-project.org/package=WufooR
Description: CRAN Package 'WufooR' (R Wrapper for the 'Wufoo.com' - The Form Building Service)
 Allows form managers to download entries from their respondents using Wufoo
 JSON API (<https://www.wufoo.com>). Additionally, the Wufoo reports - when
 public - can be also acquired programmatically. Note that building new forms
 within this package is not supported.

Package: r-cran-wux
Architecture: all
Version: 2.2-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1886
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-sp, r-cran-ncdf4, r-cran-reshape, r-cran-abind, r-cran-fields, r-cran-rgdal, r-cran-rgeos, r-cran-class, r-cran-stringr, r-cran-hmisc, r-cran-gdata, r-cran-corpcor, r-cran-rworldmap
Suggests: r-cran-lattice
Filename: pool/dists/focal/main/r-cran-wux_2.2-1-1.ca2004.1_all.deb
Size: 1774356
MD5sum: c102f9e760c69ee41659420d0ca41d89
SHA1: b9675602f982fd723950574107c2a0bb49aa0048
SHA256: 6aba5b446b1bd5459210fdd9dd38f10ed5dc6ea0cb200a8e221fbbf2b3e309fd
SHA512: 38b7812835aeacdac40f58c7ae1e843386b40862a7db15f9dc7c7f759014159ad90c2ee908a279eb7363573c645a47a9b060bd0bbdaef091c27b3918b45cf963
Homepage: https://cran.r-project.org/package=wux
Description: CRAN Package 'wux' (Wegener Center Climate Uncertainty Explorer)
 Methods to calculate and interpret climate change signals and time series
 from climate multi-model ensembles. Climate model output in binary 'NetCDF'
 format is read in and aggregated over a specified region to a data.frame for
 statistical analysis. Global Circulation Models, as the 'CMIP5' simulations,
 can be read in the same way as Regional Climate Models, as e.g. the 'CORDEX'
 or 'ENSEMBLES' simulations. The package has been developed at the 'Wegener
 Center for Climate and Global Change' at the University of Graz, Austria.

Package: r-cran-wvplots
Architecture: all
Version: 1.3.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3673
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-wrapr, r-cran-ggplot2, r-cran-sigr, r-cran-cdata, r-cran-rqdatatable, r-cran-rquery, r-cran-rlang, r-cran-gridextra, r-cran-mgcv
Suggests: r-cran-data.table, r-cran-knitr, r-cran-rmarkdown, r-cran-plotly, r-cran-hexbin, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-wvplots_1.3.8-1.ca2004.1_all.deb
Size: 2341008
MD5sum: 3caeb1f6537884e32273c50440ff28bc
SHA1: f4a1670c57de0496d6835eb5c04d0bcfb0be73c8
SHA256: 1b0d2813ec87b9581e999c0ee750ab1c9f9bb87dca5612a5109499be1643e09c
SHA512: 62e990350c13bf567cd184a3862081b0ee0fe98e23458cf7f2dbd4ab6b901e13a31ec55a3fd43448169aeb5d49dbb8a2642fd64247b3474234ef7a7c96956a2a
Homepage: https://cran.r-project.org/package=WVPlots
Description: CRAN Package 'WVPlots' (Common Plots for Analysis)
 Select data analysis plots, under a standardized calling interface
 implemented on top of 'ggplot2' and 'plotly'.  Plots of interest include:
 'ROC', gain curve, scatter plot with marginal distributions, conditioned
 scatter plot with marginal densities, box and stem with matching theoretical
 distribution, and density with matching theoretical distribution.

Package: r-cran-wwgbook
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 98
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-wwgbook_1.0.2-1.ca2004.1_all.deb
Size: 41724
MD5sum: 954e2d8795b835b6e6e257224a23bf8b
SHA1: 5a82bd413ced6abaa8e3b6a6ea59772940722416
SHA256: d41d36d7faaf5613be9f6b2354b691c47ceb1d432862a67bbd47cf4ac230323c
SHA512: 869ffca975981037de35632b5ad840c18eac092996db1ccc222cbf0a4f6eee71b00ba6358e508f1addbe32d3ecc15cfb232a69284d6c6a3ebca73c7b468af037
Homepage: https://cran.r-project.org/package=WWGbook
Description: CRAN Package 'WWGbook' (Functions and Datasets for WWGbook)
 Book is "Linear Mixed Models: A Practical Guide Using Statistical Software"
 published in 2006 by Chapman Hall / CRC Press.

Package: r-cran-wwntests
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-sde, r-cran-ftsa, r-cran-rainbow, r-cran-mass, r-cran-fda
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-compquadform, r-cran-tensora
Filename: pool/dists/focal/main/r-cran-wwntests_1.1.0-1.ca2004.1_all.deb
Size: 147188
MD5sum: bbd6780da70c4df5f7aaec7005e89b71
SHA1: 2cfa63bcaf73e6617dd4abc0760cf214849aed0b
SHA256: 6ef5ac3509fc73beb93686f2c78b70a4764ad2ee6ead467f0e83b85fe5e40fbf
SHA512: d04898356f74eebfb99ada9bbfcec1057ec70f06b226ce236eabba1891240cf6f350ab1a44708fe83db55cf7022978b954f3c40e54ab1144e2ce6a090dab44d6
Homepage: https://cran.r-project.org/package=wwntests
Description: CRAN Package 'wwntests' (Hypothesis Tests for Functional Time Series)
 Provides a collection of white noise hypothesis tests for functional time
 series and related visualizations.  These include tests based on the norms
 of autocovariance operators that are built under both strong and weak white
 noise assumptions. Additionally, tests based on the spectral density
 operator and on principal component dimensional reduction are included,
 which are built under strong white noise assumptions.  Also, this package
 provides goodness-of-fit tests for functional autoregressive of order 1
 models.  These methods are described in Kokoszka et al. (2017)
 <doi:10.1016/j.jmva.2017.08.004>, Characiejus and Rice (2019)
 <doi:10.1016/j.ecosta.2019.01.003>, Gabrys and Kokoszka (2007)
 <doi:10.1198/016214507000001111>, and Kim et al. (2023) <doi:
 10.1214/23-SS143> respectively.

Package: r-cran-wxgenr
Architecture: all
Version: 1.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2616
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lubridate, r-cran-msm, r-cran-sm, r-cran-dplyr, r-cran-plyr, r-cran-foreach, r-cran-doparallel, r-cran-magrittr, r-cran-dorng, r-cran-mc2d, r-cran-qmap, r-cran-tidyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-reshape2, r-cran-ggpubr, r-cran-moments, r-cran-seas, r-cran-padr, r-cran-hydrogof, r-cran-specsverification, r-cran-ggridges, r-cran-tigris, r-cran-terra, r-cran-stringr, r-cran-mapview, r-cran-xts, r-cran-sf, r-cran-lfstat, r-cran-feddata, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-wxgenr_1.4.4-1.ca2004.1_all.deb
Size: 2049852
MD5sum: b656ad5dd9fe5447f6d44b4ebc2dfc85
SHA1: 8f5fe420480b1e46fae2a29022c93e32588e62d5
SHA256: ecdb1a3e0866289cbaf99014bd208dcf9bc1af6e828dda1a71468579e5549360
SHA512: b15c989959e842abc41be0db62d00249289d3c7d88c3eb5fcf4bd0fe0249e879e1a4973b4dfc25cab708aecefb9a171e238c25bf07a5ac293601db585c8d78a3
Homepage: https://cran.r-project.org/package=wxgenR
Description: CRAN Package 'wxgenR' (A Stochastic Weather Generator with Seasonality)
 A weather generator to simulate precipitation and temperature for regions
 with seasonality. Users input training data containing precipitation,
 temperature, and seasonality (up to 26 seasons). Including weather season as
 a training variable allows users to explore the effects of potential changes
 in season duration as well as average start- and end-time dates due to
 phenomena like climate change. Data for training should be a single time
 series but can originate from station data, basin averages, grid cells, etc.
 Bearup, L., Gangopadhyay, S., & Mikkelson, K. (2021). "Hydroclimate Analysis
 Lower Santa Cruz River Basin Study (Technical Memorandum No ENV-2020-056)."
 Bureau of Reclamation.  Gangopadhyay, S., Bearup, L. A., Verdin, A., Pruitt,
 T., Halper, E., & Shamir, E. (2019, December 1). "A collaborative stochastic
 weather generator for climate impacts assessment in the Lower Santa Cruz
 River Basin, Arizona." Fall Meeting 2019, American Geophysical Union.
 <https://ui.adsabs.harvard.edu/abs/2019AGUFMGC41G1267G>.

Package: r-cran-wyz.code.metatesting
Architecture: all
Version: 1.1.22-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 303
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-tidyr, r-cran-wyz.code.offensiveprogramming, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wyz.code.metatesting_1.1.22-1.ca2004.1_all.deb
Size: 221612
MD5sum: 57877e2759f388844b665677f9d59064
SHA1: c9f0188a820cb8638d99fb9cc693317ca8f028a8
SHA256: 6370cec385f319b892021c7290f99dca2ed9b6a18042fe5213732cfe0747d6b7
SHA512: b148d4493b238f12e68315fd08576c2a490837ee52615050460fc23a6f798128e4345ba376fbadea83fceed3c3aa9ef3444aec7acb7c72f5b27e4553c057e880
Homepage: https://cran.r-project.org/package=wyz.code.metaTesting
Description: CRAN Package 'wyz.code.metaTesting' (Wizardry Code Meta Testing)
 Meta testing is the ability to test a function without having to provide its
 parameter values.  Those values will be generated, based on semantic naming
 of parameters, as introduced by package 'wyz.code.offensiveProgramming'.
 Value generation logic can be completed with your own data types and
 generation schemes. This to meet your most specific requirements and to
 answer to a wide variety of usages, from general use case to very specific
 ones.  While using meta testing, it becomes easier to generate stress test
 campaigns, non-regression test campaigns and robustness test campaigns, as
 generated tests can be saved and reused from session to session.  Main
 benefits of using 'wyz.code.metaTesting' is ability to discover valid and
 invalid function parameter combinations, ability to infer valid parameter
 values, and to provide smart summaries that allows you to focus on
 dysfunctional cases.

Package: r-cran-wyz.code.offensiveprogramming
Architecture: all
Version: 1.1.24-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 489
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-data.table, r-cran-tidyr, r-cran-stringr, r-cran-r6, r-cran-crayon
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wyz.code.offensiveprogramming_1.1.24-1.ca2004.1_all.deb
Size: 293824
MD5sum: 37ab29ccf94e035cb245fc691300ace6
SHA1: f74d5c255c005ec4aad8c18fda7dc6c8b090db14
SHA256: 7f5773059d6f1492f057ccdfc874a87ce0e81d6899144092eea76e1d84b1a170
SHA512: 6e71313d0bd361c3bc8577097eea2aaa7736f1ffa1400c0e31ab1d308f2a0452a14cbcfbfdb48a8e236c596e1c034f98e4a02dc8ce366093628028eaa791c4c6
Homepage: https://cran.r-project.org/package=wyz.code.offensiveProgramming
Description: CRAN Package 'wyz.code.offensiveProgramming' (Wizardry Code Offensive Programming)
 Allows to turn standard R code into offensive programming code.  Provides
 code instrumentation to ease this change and tools to assist and accelerate
 code production and tuning while using offensive programming code technics.
 Should improve code robustness and quality. Function calls can be easily
 verified on-demand or in batch mode to assess parameter types and length
 conformities.  Should improve coders productivity as offensive programming
 reduces the code size due to reduced number of controls all along the call
 chain.  Should speed up processing as many checks will be reduced to one
 single check.

Package: r-cran-wyz.code.rdoc
Architecture: all
Version: 1.1.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3916
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-tidyr, r-cran-wyz.code.offensiveprogramming, r-cran-stringr, r-cran-r6, r-cran-crayon, r-cran-digest
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wyz.code.rdoc_1.1.19-1.ca2004.1_all.deb
Size: 1484928
MD5sum: 63c6db552207eeb5750b29305c0692fb
SHA1: b170e11b59c5a20ac8864285196b534fc210b8d9
SHA256: e0a66609dfb80e69b446bad3430606a61b46b596a075a912a93988cbed724407
SHA512: 2008993220ef1e04bfe4199b01d60eac75f8717736343eecaa6d55c7944cb6bf68f38c10f1f4e1657af8f5b4471bd1e1c25840bf928ede727d0edc51e1789537
Homepage: https://cran.r-project.org/package=wyz.code.rdoc
Description: CRAN Package 'wyz.code.rdoc' (Wizardry Code Offensive Programming R Documentation)
 Allows to generate on-demand or by batch, any R documentation file, whatever
 is kind, data, function, class or package. It populates documentation
 sections, either automatically or by considering your input. Input code
 could be standard R code or offensive programming code.  Documentation
 content completeness depends on the type of code you use. With offensive
 programming code, expect generated documentation to be fully completed, from
 a format and content point of view. With some standard R code, you will have
 to activate post processing to fill-in any section that requires
 complements. Produced manual page validity is automatically tested against R
 documentation compliance rules. Documentation language proficiency, wording
 style, and phrasal adjustments remains your job.

Package: r-cran-wyz.code.testthat
Architecture: all
Version: 1.1.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-tidyr, r-cran-wyz.code.offensiveprogramming, r-cran-r6
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-wyz.code.testthat_1.1.20-1.ca2004.1_all.deb
Size: 142400
MD5sum: fd4391409a4de4dcfeb5482b01bd0ac3
SHA1: 3db688e9cb5ae7c2d15ddf6ea559f2512add7350
SHA256: 03c04ddd4272527c6547ec357183b0e0cda4503f21d7d8e8e8f2e96bc08652a5
SHA512: 8eb894707d478fea9292ae57e8339e7bda3d50677b1e3c3fd0c49a387f4d1cd53677ef20ebbfc7bb127ce8cf934b1da26de40244c3fd3231e914e4f53b04f257
Homepage: https://cran.r-project.org/package=wyz.code.testthat
Description: CRAN Package 'wyz.code.testthat' (Wizardry Code Offensive Programming Test Generation)
 Allows to generate automatically 'testthat' code files from offensive
 programming test cases. Generated test files are complete and ready to run.
 Using 'wyz.code.testthat' you will earn a lot of time, reduce the number of
 errors in test case production, be able to test immediately generated files
 without any need to view or modify them, and enter a zero time latency
 between code implementation and industrial testing. As with 'testthat', you
 may complete provided test cases according to your needs to push testing
 further, but this need is nearly void when using
 'wyz.code.offensiveProgramming'.

Package: r-cran-x.ent
Architecture: all
Version: 1.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4507
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-xtable, r-cran-jsonlite, r-cran-ggplot2, r-cran-statmod
Filename: pool/dists/focal/main/r-cran-x.ent_1.1.7-1.ca2004.1_all.deb
Size: 1239140
MD5sum: 53f4523aa5e5275b7d559a0d77cc40f6
SHA1: 4243348f590be4c9be4e21b4e7f4ccd336106ac7
SHA256: c729d2f6f193c5402c8e96b5dbbb340473011fcc183dbd2f43f78a6f56d3fd24
SHA512: b231517cc469c6a5e1583bdcc303a6db0ea6bb203a6817e337f30b9c5c601f4eb2e3ae7839cccbbeeac938ceede0d0df9dee6d432e13c833f90850a089dd4be8
Homepage: https://cran.r-project.org/package=x.ent
Description: CRAN Package 'x.ent' (eXtraction of ENTity)
 Provides a tool for extracting information (entities and relations between
 them) in text datasets. It also emphasizes the results exploration with
 graphical displays. It is a rule-based system and works with hand-made
 dictionaries and local grammars defined by users. 'x.ent' uses parsing with
 Perl functions and JavaScript to define user preferences through a browser
 and R to display and support analysis of the results extracted. Local
 grammars are defined and compiled with the tool Unitex, a tool developed by
 University Paris Est that supports multiple languages. See ?xconfig for an
 introduction.

Package: r-cran-x12
Architecture: all
Version: 1.10.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-x13binary, r-cran-stringr
Suggests: r-cran-covr, r-cran-tinytest
Filename: pool/dists/focal/main/r-cran-x12_1.10.3-1.ca2004.1_all.deb
Size: 587784
MD5sum: d5ca09c11604707dc63b3e7f73573cf9
SHA1: 8216471f88deb67313117f6db3eeec1864c08112
SHA256: f479a38d7a56272e1d2dcbb384181e859f086e497dccb3c837ea4ff576b4132b
SHA512: 84144047f6eb8dc83d79003a3545d4b7d0d319500acf76a7ab29c608b279fc31ce4ee432f1b833eb5878f5fd53b736d72619b644c8bab5373fc4359d20ca2f99
Homepage: https://cran.r-project.org/package=x12
Description: CRAN Package 'x12' (Interface to 'X12-ARIMA'/'X13-ARIMA-SEATS' and Structure forBatch Processing of Seasonal Adjustment)
 The 'X13-ARIMA-SEATS' <https://www.census.gov/data/software/x13as.html>
 methodology and software is a widely used software and developed by the US
 Census Bureau. It can be accessed from 'R' with this package and
 'X13-ARIMA-SEATS' binaries are provided by the 'R' package 'x13binary'.

Package: r-cran-x3ptools
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3346
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-digest, r-cran-xml2, r-cran-rgl, r-cran-zoo, r-cran-png, r-cran-readr, r-cran-dplyr, r-cran-pracma, r-cran-assertthat, r-cran-purrr, r-cran-yaml, r-cran-scales, r-cran-tidyr, r-cran-imager, r-cran-magrittr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-patchwork, r-cran-testthat, r-cran-covr, r-cran-here, r-cran-magick
Filename: pool/dists/focal/main/r-cran-x3ptools_0.0.4-1.ca2004.1_all.deb
Size: 3331324
MD5sum: fba3139c6a7b3fa3c55d9809c2f73f9e
SHA1: 583f51d28b542e088d8769ffbb24d9f7a68e7c2d
SHA256: a33a13be5b082be961f765a7c879baef9f008694c46d326cb17f45db1aec0118
SHA512: 4896760bf620cbb3ab1a15f6b8ed0d0979bfd8a9472f33a2358f044f8993d1b850401616f2dd58468cb2df60732586866848057586a408f09b99855b2901aa12
Homepage: https://cran.r-project.org/package=x3ptools
Description: CRAN Package 'x3ptools' (Tools for Working with 3D Surface Measurements)
 The x3p file format is specified in ISO standard 5436:2000 to describe 3d
 surface measurements. 'x3ptools' allows reading, writing and basic
 modifications to the 3D surface measurements.

Package: r-cran-xadmix
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 334
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dplyr, r-cran-forcats, r-cran-ggplot2, r-cran-magrittr, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-viridis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xadmix_1.0.0-1.ca2004.1_all.deb
Size: 198868
MD5sum: 8788f028002acb24e9e5cde38bbc670c
SHA1: b7526672e79ebd1d4276cf63674e5fa60d8eb450
SHA256: d5e17b6fa08be2cb7a0291f295cd41fdab4248b3959f78ad1a4eec746dbbbdd2
SHA512: c95c361ac2b037c3dc35408855b325536b1ebc6ac01ae733bd6538caca7f016246bed6f253c4f4ff832801d72f2da46c6a35638b50646a6a87db4cf31486497d
Homepage: https://cran.r-project.org/package=xadmix
Description: CRAN Package 'xadmix' (Subsetting and Plotting Optimized for Admixture Data)
 A few functions which provide a quick way of subsetting genomic admixture
 data and generating customizable stacked barplots.

Package: r-cran-xaringan
Architecture: all
Version: 0.30-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 383
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-htmltools, r-cran-knitr, r-cran-servr, r-cran-xfun, r-cran-rmarkdown
Suggests: r-cran-rstudioapi, r-cran-jsonlite, r-cran-testit
Filename: pool/dists/focal/main/r-cran-xaringan_0.30-1.ca2004.1_all.deb
Size: 107724
MD5sum: de767f1938b754257e15066f1574acae
SHA1: ec323cc6f5211a505173b3451925c10ff9280a5a
SHA256: 3179cda0792143943dd90811eb22c5ef4a480885278a23d49da3e2e5281161ae
SHA512: 5a89cda7b72cfaadb9cbbe64d08e8170b83f2885aba509927a03a5157fc21170e13247f290cb523dc89d339ceb0deebaf103e32fa84bcab1fabb8e1d8d56a328
Homepage: https://cran.r-project.org/package=xaringan
Description: CRAN Package 'xaringan' (Presentation Ninja)
 Create HTML5 slides with R Markdown and the JavaScript library 'remark.js'
 (<https://remarkjs.com>).

Package: r-cran-xaringanextra
Architecture: all
Version: 0.8.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4520
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-htmltools, r-cran-jsonlite, r-cran-knitr, r-cran-uuid
Suggests: r-cran-callr, r-cran-rmarkdown, r-cran-testthat, r-cran-xaringan
Filename: pool/dists/focal/main/r-cran-xaringanextra_0.8.0-1.ca2004.1_all.deb
Size: 1577240
MD5sum: 6511a2dc0216387d316da0536c656294
SHA1: 60e6d7159904b8c8bb65ce91f52fc112eaa4bc63
SHA256: 70b22db74efdb26b4a0c26366bf7e5b6c3874efa0790d54621f5e1d7ffbc3850
SHA512: a7430058e89cedc77b2bd636761dca7e5fe49d8f1a322e983aa08d623945e37953d6a76235d12cd35bb9234d955af20550ffc3f39d1618f3b71bf5deeeea9ed2
Homepage: https://cran.r-project.org/package=xaringanExtra
Description: CRAN Package 'xaringanExtra' (Extras and Extensions for 'xaringan' Slides)
 Extras and extensions for 'xaringan' slides. Navigate your slides with tile
 view. Make your slides editable, live! Announce slide changes with subtle
 tones. Animate slide transitions with 'animate.css'. Add tabbed panels to
 slides with 'panelset'. Use the 'Tachyons CSS' utility toolkit for rapid
 slide development. Scribble on your slides. Add a copy button to your code
 chunks with 'clipboard'. Add a logo or top or bottom banner to every slide.
 Broadcast slides to stay in sync with remote viewers. Include yourself in
 your slides with 'webcam'.  Plus a whole lot more!

Package: r-cran-xaringanthemer
Architecture: all
Version: 0.4.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1897
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-colorspace, r-cran-glue, r-cran-purrr, r-cran-whisker
Suggests: r-cran-callr, r-cran-ggplot2, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-scales, r-cran-showtext, r-cran-sysfonts, r-cran-testthat, r-cran-xaringan
Filename: pool/dists/focal/main/r-cran-xaringanthemer_0.4.3-1.ca2004.1_all.deb
Size: 1021548
MD5sum: c3bf4cd81823b8922f6b0bbeb39dfb31
SHA1: c9135c69b48d425f648b29b4872d9597031e4e9f
SHA256: 06c7b259eec640fb670f888b0cc08962cba3bce24676406a232a3303e2cd0c25
SHA512: 550c6d635727f2ac2736fca02f5bbf3086c7572f70081c228dc7ed45d9fb06c001aee6420888c4d6c06ba0ae5c3157dfe76802432e1948adce9e6532f1035bea
Homepage: https://cran.r-project.org/package=xaringanthemer
Description: CRAN Package 'xaringanthemer' (Custom 'xaringan' CSS Themes)
 Create beautifully color-coordinated and customized themes for your
 'xaringan' slides, without writing any CSS. Complete your slide theme with
 'ggplot2' themes that match the font and colors used in your slides.
 Customized styles can be created directly in your slides' 'R Markdown'
 source file or in a separate external script.

Package: r-cran-xcertainty
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3264
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-nimble, r-cran-tidyr, r-cran-dplyr, r-cran-coda
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-stringr, r-cran-ggdist, r-cran-tidyverse
Filename: pool/dists/focal/main/r-cran-xcertainty_1.0.1-1.ca2004.1_all.deb
Size: 1292392
MD5sum: b64f3731d999624acacd7e1506372231
SHA1: 8905b0325a8e5e3ca0d6cfe84b844bb876a52b3c
SHA256: 1bb3700552d5bea0edf5585bab5da3c3b6b04f48c82c2a5c8e804ddd4fda07d2
SHA512: 1924ed0e0f7bc3b8be0165925f26af154c177cb0df8e51dee25457d002b1673313d83f9f529b708ff4ab78eb6da8de4996a642166a9d320ef6e5aed5d70ba731
Homepage: https://cran.r-project.org/package=Xcertainty
Description: CRAN Package 'Xcertainty' (Estimating Lengths and Uncertainty from Photogrammetric Imagery)
 Implementation of Bayesian models for estimating object lengths and
 morphological relationships between object lengths using photographic data
 collected from drones.  The Bayesian model is described in "Bayesian
 approach for predicting photogrammetric uncertainty in morphometric
 measurements derived from drones" (Bierlich et al., 2021,
 <doi:10.3354/meps13814>).

Package: r-cran-xefun
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-xefun_0.1.5-1.ca2004.1_all.deb
Size: 45056
MD5sum: 4878a9a7b45ac6bc35575ef5bc62275e
SHA1: ac56c0e2a97b90c8c7ffcb6d6e2e736a833fcfea
SHA256: a7f0f52f4481db77f88b83bbceb6c5dfcda55ac78a3b203b62213158b626f4f8
SHA512: 71dd1c4d0947b180ec0ed65fccf7d5b80ca7fda8347286c1dfb2997631fb5e0fde0c185f52826e6916be202992a91e27b7f21d6ebd9ea570bf51077c79e61fe2
Homepage: https://cran.r-project.org/package=xefun
Description: CRAN Package 'xefun' (X-Engineering or Supporting Functions)
 Miscellaneous functions used for x-engineering (feature engineering) or for
 supporting in other packages maintained by 'Shichen Xie'.

Package: r-cran-xega
Architecture: all
Version: 0.9.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 208
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-parallelly, r-cran-filelock, r-cran-xegaselectgene, r-cran-xegabnf, r-cran-xegaderivationtrees, r-cran-xegagagene, r-cran-xegagpgene, r-cran-xegagegene, r-cran-xegadfgene, r-cran-xegapermgene, r-cran-xegapopulation
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xega_0.9.0.8-1.ca2004.1_all.deb
Size: 176176
MD5sum: f0c12457d0f81a2cfbf87ca8aa8be31c
SHA1: f5d05a6703f338f5243a30c6e8283bcfa249003e
SHA256: 0b870ae64a3e104c14f87dd8bb91a3aa36fccb9c7c126810f2440aa71456a39b
SHA512: e8ad0a1a6ce9c1c05f5959a6f0a8436026098ea28a7c81bb5841d5bd80c1fd7c54f33b28382f8237b230c24d7265a396f60b0f6bf0ad9c31e17859aa2bd68b3a
Homepage: https://cran.r-project.org/package=xega
Description: CRAN Package 'xega' (Extended Evolutionary and Genetic Algorithms)
 Implementation of a scalable, highly configurable, and e(x)tended
 architecture for (e)volutionary and (g)enetic (a)lgorithms.  Multiple
 representations (binary, real-coded, permutation, and derivation-tree), a
 rich collection of genetic operators, as well as an extended processing
 pipeline are provided for genetic algorithms (Goldberg, D. E. (1989,
 ISBN:0-201-15767-5)), differential evolution (Price, Kenneth V., Storn,
 Rainer M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>),
 simulated annealing (Aarts, E., and Korst, J.  (1989, ISBN:0-471-92146-7)),
 grammar-based genetic programming (Geyer-Schulz (1997,
 ISBN:978-3-7908-0830-X)), and grammatical evolution (Ryan, C., O'Neill, M.,
 and Collins, J. J. (2018) <doi:10.1007/978-3-319-78717-6>).  All algorithms
 reuse basic adaptive mechanisms for performance optimization.  Sequential or
 parallel execution (on multi-core machines, local clusters, and
 high-performance computing environments) is available for all algorithms.
 See
 <https://github.com/ageyerschulz/xega/tree/main/examples/executionModel>.

Package: r-cran-xegabnf
Architecture: all
Version: 1.0.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegabnf_1.0.0.5-1.ca2004.1_all.deb
Size: 119436
MD5sum: 96e4ed71dd39e3a4896a8c327c58b6a6
SHA1: a184ce26a9cc67e069cf9695f93f41a37f7e6321
SHA256: a974c5944b19677b67882b060c2877ad5719ecaee69faf7096f476abd908da99
SHA512: 5dbf550e8b8804d74e18c9cf4cd26ca79d6138f253072ffcbf504f37e456459359eb1cd88c8d371ea65485a0d9c3f565fd07b2b9daad6443feab92a4246cb953
Homepage: https://cran.r-project.org/package=xegaBNF
Description: CRAN Package 'xegaBNF' (Compile a Backus-Naur Form Specification into an R GrammarObject)
 Translates a BNF (Backus-Naur Form) specification of a context-free language
 into an R grammar object which consists of the start symbol, the symbol
 table, the production table, and a short production table.  The short
 production table is non-recursive.  The grammar object contains the file
 name from which it was generated (without a path).  In addition, it provides
 functions to determine the type of a symbol (isTerminal() and
 isNonterminal()) and functions to access the production table (rules() and
 derives()).  For the BNF specification, see Backus, John et al. (1962)
 "Revised Report on the Algorithmic Language ALGOL 60".  (ALGOL60 standards
 page <http://www.algol60.org/2standards.htm>, html-edition
 <https://www.masswerk.at/algol60/report.htm>) A preprocessor for macros
 which expand to standard BNF is included.  The grammar compiler is an
 extension of the APL2 implementation in Geyer-Schulz, Andreas (1997,
 ISBN:978-3-7908-0830-X).

Package: r-cran-xegaderivationtrees
Architecture: all
Version: 1.0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 167
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xegabnf
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegaderivationtrees_1.0.0.6-1.ca2004.1_all.deb
Size: 129556
MD5sum: 0a161a97f3eba7cbf5fb35965ec5c3be
SHA1: 8d29b2f6d2a50a6f84c7f740c1f1057edc72398d
SHA256: 2f3775c2da6324bb1b4b775489c06deb803f8a03faf4e7d88a68cdacbf08b288
SHA512: b4de30b235e55ac760de29227139f759665189ec4cd021cf6de9030635f8e1656f56fc002b150fd9042b77e672bbf887dcd653c05b926cd4950ca5461495d438
Homepage: https://cran.r-project.org/package=xegaDerivationTrees
Description: CRAN Package 'xegaDerivationTrees' (Generating and Manipulating Derivation Trees)
 Derivation tree operations are needed for implementing grammar-based genetic
 programming and grammatical evolution: Generating a random derivation trees
 of a context-free grammar of bounded depth, decoding a derivation tree,
 choosing a random node in a derivation tree, extracting a tree whose root is
 a specified node, and inserting a subtree into a derivation tree at a
 specified node.  These operations are necessary for the initialization and
 for decoders of a random population of programs, as well as for implementing
 crossover and mutation operators.  Depth-bounds are guaranteed by switching
 to a grammar without recursive production rules.  For executing the
 examples, the package 'BNF' is needed.  The basic tree operations for
 generating, extracting, and inserting derivation trees as well as the
 conditions for guaranteeing complete derivation trees have been presented in
 Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).  The use of random integer
 vectors for the generation of derivation trees has been introduced in Ryan,
 C., Collins, J. J., and O'Neill, M. (1998) <doi:10.1007/BFb0055930> for
 grammatical evolution.

Package: r-cran-xegadfgene
Architecture: all
Version: 1.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xegaselectgene
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegadfgene_1.0.0.3-1.ca2004.1_all.deb
Size: 71100
MD5sum: bdbe814ef8050f82e7c3c3eb254244d4
SHA1: cc7dbc3637ce11ab3f1e73f3dbf8ccf84cbf0d8a
SHA256: e37c06beefa1af63feb1a8e6a5d569e0be4a25dc1e5456f396a6b9a19ce17e1d
SHA512: 608d5687302fcba371bcf0ddd7235433f056b6f48e0b8fe06333c407f70b34cb2a9221b1b702e5ee5678058b1df09b1a61786fe9d397163e1f4ea0d2e93323de
Homepage: https://cran.r-project.org/package=xegaDfGene
Description: CRAN Package 'xegaDfGene' (Gene Operations for Real-Coded Genes)
 Representation-dependent gene-level operations for genetic and evolutionary
 algorithms with real-coded genes are collected in this package. The common
 feature of the gene operations is that all of them are useful for
 derivation-free optimization algorithms. At the moment the package
 implements initialization, mutation, crossover, and replication operations
 for differential evolution as described in Price, Kenneth V., Storn, Rainer
 M. and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>.

Package: r-cran-xegagagene
Architecture: all
Version: 1.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 133
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xegaselectgene
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegagagene_1.0.0.2-1.ca2004.1_all.deb
Size: 98812
MD5sum: 7f4fe8ef823fb9b01d929a1372aeaa26
SHA1: bd0c083080c744fcce0b2ee3d918ae5eb0681b09
SHA256: 59871e5b79d3d65462e0b3d36a7ec73960632df84fce54052c3406ebde7ded9b
SHA512: 9b3a6640aedc5f1bca234c0456e6c1870b1abbdcf6b950d5e0e11b58487b4a3348fca223f7f009ef5a6bdf0ccb2d73257df514795bb50e62bd1eca48600421df
Homepage: https://cran.r-project.org/package=xegaGaGene
Description: CRAN Package 'xegaGaGene' (Binary Gene Operations for Genetic Algorithms)
 Representation-dependent gene level operations of a genetic algorithm with
 binary coded genes: Initialization of random binary genes, several gene maps
 for binary genes, several mutation operators, several crossover operators
 with 1 and 2 kids, replication pipelines for 1 and 2 kids, and, last but not
 least, function factories for configuration.  See Goldberg, D. E. (1989,
 ISBN:0-201-15767-5).  For crossover operators, see Syswerda, G. (1989,
 ISBN:1-55860-066-3), Spears, W. and De Jong, K. (1991, ISBN:1-55860-208-9).
 For mutation operators, see Stanhope, S. A. and Daida, J. M. (1996,
 ISBN:0-18-201-031-7).

Package: r-cran-xegagegene
Architecture: all
Version: 1.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-numbers, r-cran-xegaselectgene, r-cran-xegabnf, r-cran-xegaderivationtrees
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegagegene_1.0.0.3-1.ca2004.1_all.deb
Size: 79596
MD5sum: fcc76dfb1c5b2e1f384a46284ff753cd
SHA1: fcb7f89ff6124c5564214be96ae1e34f5ef09415
SHA256: 1b8d4ac054d5745daf3b66665b574a83bf88cbfb9ef09f409376233cec419252
SHA512: a82db3b013b6227f5adab0c68948a5e67adcc7914a2b5a51eccd533e7b4c05b7b0087fe51686945f640689232f69e2ad61c92d9201669c916e3736b43708c43a
Homepage: https://cran.r-project.org/package=xegaGeGene
Description: CRAN Package 'xegaGeGene' (Grammatical Evolution)
 Grammatical evolution (see O'Neil, M. and Ryan, C.
 (2003,ISBN:1-4020-7444-1)) uses decoders to convert linear (binary or
 integer genes) into programs.  In addition, automatic determination of codon
 precision with a limited rule choice bias is provided.  For a recent survey
 of grammatical evolution, see Ryan, C., O'Neill, M., and Collins, J. J.
 (2018) <doi:10.1007/978-3-319-78717-6>.

Package: r-cran-xegagpgene
Architecture: all
Version: 1.0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 109
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xegabnf, r-cran-xegaderivationtrees, r-cran-xegaselectgene
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegagpgene_1.0.0.2-1.ca2004.1_all.deb
Size: 75420
MD5sum: 944aaac4d4fdaae6b9780937f7b853cd
SHA1: cae0398380293ec890736d84e344e38c171d3259
SHA256: 82fef9bc9cf1810fab0d492afded64e967c2567ddf59a987e3a669337f2950ae
SHA512: f3d7a22650aa11e3f13682dca773d64e37dbbb0a42684b6b3691390201f464187264fac0445d4c743221fbf8b6e70d8d6611916ea68e7696bea6ea94618fc6ae
Homepage: https://cran.r-project.org/package=xegaGpGene
Description: CRAN Package 'xegaGpGene' (Genetic Operations for Grammar-Based Genetic Programming)
 An implementation of the representation-dependent gene level operations of
 grammar-based genetic programming with genes which are derivation trees of a
 context-free grammar: Initialization of a gene with a complete random
 derivation tree, decoding of a derivation tree.  Crossover is implemented by
 exchanging subtrees. Depth-bounds for the minimal and the maximal depth of
 the roots of the subtrees exchanged by crossover can be set.  Mutation is
 implemented by replacing a subtree by a random subtree.  The depth of the
 random subtree and the insertion node are configurable. For details, see
 Geyer-Schulz (1997, ISBN:978-3-7908-0830-X).

Package: r-cran-xegapermgene
Architecture: all
Version: 1.0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 116
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xegaselectgene
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegapermgene_1.0.0.1-1.ca2004.1_all.deb
Size: 84724
MD5sum: 9e55e5ca85923d74f546eee22b2f012e
SHA1: 1a855f539880b1a76a75e336114a077e8ba72f53
SHA256: 79e25c76e8bc75884058e9237a57afe99e6c596899ec0c010098621a7a372044
SHA512: 73ef24f52346f5a3db8240acb19b6f6e38fd07cad7dd0c7dd344ebc485ab5dfe4251cde74dcc2f8aa30aca8790b0a6c7eedc05f5b5e311f6223e0a3664c71b23
Homepage: https://cran.r-project.org/package=xegaPermGene
Description: CRAN Package 'xegaPermGene' (Operations on Permutation Genes)
 An implementation of representation-dependent gene level operations for
 genetic algorithms with genes representing permutations: Initialization of
 genes, mutation, and crossover.  The crossover operation provided is
 position-based crossover (Syswerda, G., Chap. 21 in Davis, L. (1991,
 ISBN:0-442-00173-8).  For mutation, several variants are included:
 Order-based mutation (Syswerda, G., Chap. 21 in Davis, L. (1991,
 ISBN:0-442-00173-8), randomized Lin-Kernighan heuristics (Croes, G. A.
 (1958) <doi:10.1287/opre.6.6.791> and Lin, S. and Kernighan. B. W. (1973)
 <doi:10.1287/opre.21.2.498>), and randomized greedy operators.  A random mix
 operator for mutation selects a mutation variant randomly.

Package: r-cran-xegapopulation
Architecture: all
Version: 1.0.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 249
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-future.apply, r-cran-xegagagene, r-cran-xegaselectgene
Suggests: r-cran-testthat, r-cran-future, r-cran-parallelly
Filename: pool/dists/focal/main/r-cran-xegapopulation_1.0.0.7-1.ca2004.1_all.deb
Size: 206032
MD5sum: 785dc0cb7d031140725f3fc949ed5337
SHA1: 860622b6cd9dda42a8409da6efe634938902f0fe
SHA256: dfc9eef6d80430467467c066897a02daa7390e3b9720104154208b3f82c00b82
SHA512: ddf19eaedcbc22fd2bde564d22a808f1614dc2f4b430075b4f294abcac89d91231c4a247110f7f73f67ab401879eb172f6279c9c785001df1b180d55e75cc1fd
Homepage: https://cran.r-project.org/package=xegaPopulation
Description: CRAN Package 'xegaPopulation' (Genetic Population Level Functions)
 This collection of gene representation-independent functions implements the
 population layer of extended evolutionary and genetic algorithms and its
 support. The population layer consists of functions for initializing,
 logging, observing, evaluating a population of genes, as well as of
 computing the next population. For parallel evaluation of a population of
 genes 4 execution models - named Sequential, MultiCore, FutureApply, and
 Cluster - are provided. They are implemented by configuring the lapply()
 function. The execution model FutureApply can be externally configured as
 recommended by Bengtsson (2021) <doi:10.32614/RJ-2021-048>. Configurable
 acceptance rules and cooling schedules (see Kirkpatrick, S., Gelatt, C. D.
 J, and Vecchi, M. P. (1983) <doi:10.1126/science.220.4598.671>, and Aarts,
 E., and Korst, J.  (1989, ISBN:0-471-92146-7) offer simulated annealing or
 greedy randomized approximate search procedure elements. Adaptive crossover
 and mutation rates depending on population statistics generalize the
 approach of Stanhope, S. A. and Daida, J. M. (1996, ISBN:0-18-201-031-7).

Package: r-cran-xegaselectgene
Architecture: all
Version: 1.0.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 285
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xegaselectgene_1.0.0.3-1.ca2004.1_all.deb
Size: 244932
MD5sum: 79074e872ee8c7ae18e8e57afcb8b577
SHA1: 74fcf6708076c2abe7936d2e567524bfb77c578d
SHA256: 4df28e6931b55ca0f7072258c923cebc505703de522adc375d73348989c5c2d1
SHA512: 6cc291c9364e6d5bc86bd81b21a7e6bf4ea231d3324f655b2b2731053f1c03936abafd7f0474f97e6f68394a5864692b7ff6e7888aea039d1bfde9f77a4fc8f2
Homepage: https://cran.r-project.org/package=xegaSelectGene
Description: CRAN Package 'xegaSelectGene' (Selection of Genes and Gene Representation Independent Functions)
 This collection of gene representation-independent mechanisms for
 evolutionary and genetic algorithms contains four groups of functions:
 First, functions for selecting a gene in a population of genes according to
 its fitness value and for adaptive scaling of the fitness values as well as
 for performance optimization and measurement offer several variants for
 implementing the survival of the fittest.  Second, evaluation functions for
 deterministic functions avoid recomputation.  Evaluation of stochastic
 functions incrementally improve the estimation of the mean and variance of
 fitness values at almost no additional cost. Evaluation functions for gene
 repair handle error-correcting decoders.  Third, timing and counting
 functions for profiling the algorithm pipeline are provided to assess
 bottlenecks in the algorithms.  Fourth, a small collection of problem
 environments for function optimization, combinatorial optimization, and
 grammar-based genetic programming and grammatical evolution is provided for
 tutorial examples.  The methods in the package are described by the
 following references: Baker, James E. (1987, ISBN:978-08058-0158-8), De
 Jong, Kenneth A. (1975)
 <https://deepblue.lib.umich.edu/handle/2027.42/4507>, Geyer-Schulz, Andreas
 (1997, ISBN:978-3-7908-0830-X), Grefenstette, John J. (1987,
 ISBN:978-08058-0158-8), Grefenstette, John J. and Baker, James E.  (1989,
 ISBN:1-55860-066-3), Holland, John (1975, ISBN:0-472-08460-7), Lau, H. T.
 (1986) <doi:10.1007/978-3-642-61649-5>, Price, Kenneth V., Storn, Rainer M.
 and Lampinen, Jouni A. (2005) <doi:10.1007/3-540-31306-0>, Reynolds, J. C.
 (1993) <doi:10.1007/BF01019459>, Schaffer, J. David (1989,
 ISBN:1-55860-066-3), Wenstop, Fred (1980)
 <doi:10.1016/0165-0114(80)90031-7>, Whitley, Darrell (1989,
 ISBN:1-55860-066-3), Wickham, Hadley (2019, ISBN:978-815384571).

Package: r-cran-xergm.common
Architecture: all
Version: 1.7.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 185
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ergm, r-cran-network
Filename: pool/dists/focal/main/r-cran-xergm.common_1.7.8-1.ca2004.1_all.deb
Size: 150092
MD5sum: 68066c82073dc2f5f8470a70362a0328
SHA1: b50faa97fa997274361a3dcda9aa6c931b7803e8
SHA256: 493e1e3537269664232b79224292bc77f57030121437420fddde084bb94e97b0
SHA512: 09e514e196fe7aa94387ce1a85b0288f5198f872d360ffa756f5e823aaec31f8d608952df823ec5652f1a56aa6e958f0df1d5573c643af7c911edc7b7b28b871
Homepage: https://cran.r-project.org/package=xergm.common
Description: CRAN Package 'xergm.common' (Common Infrastructure for Extensions of Exponential Random GraphModels)
 Datasets and definitions of generic functions used in dependencies of the
 'xergm' package.

Package: r-cran-xesreadr
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-bupar, r-cran-dplyr, r-cran-xml, r-cran-xml2, r-cran-data.table, r-cran-tidyr, r-cran-purrr, r-cran-stringr, r-cran-lubridate
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xesreadr_0.2.3-1.ca2004.1_all.deb
Size: 47464
MD5sum: 62d7893d6da4f07e62917c1de8bc4a2c
SHA1: af9832868810c8fd1b6e72857c3fb2dedf87caa6
SHA256: 256143a6d26cc3367957360a244d8e9ab5c98aa8080889cc7ae0aa3d527af08d
SHA512: 5d70bdef2a1ae0bee75373d79c143d48a13d68a167cf7da77897d03e77e82c6b21a5a99522d40a0a91d3fa9659ecfa930a0ea96897b7092504606760085a496e
Homepage: https://cran.r-project.org/package=xesreadR
Description: CRAN Package 'xesreadR' (Read and Write XES Files)
 Read and write XES Files to create event log objects used by the 'bupaR'
 framework. XES (Extensible Event Stream) is the `IEEE` standard for storing
 and sharing event data (see
 <http://standards.ieee.org/findstds/standard/1849-2016.html> for more info).

Package: r-cran-xgb2sql
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xgboost, r-cran-data.table
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xgb2sql_0.1.2-1.ca2004.1_all.deb
Size: 46276
MD5sum: 25d4499bd8694accea927f597d9ba1e7
SHA1: 41634de1587880b764ee2e8c14817b0307247ce1
SHA256: a50516bbb9e8f1cbddbda6c7a585f4a257fe6333a7f83bdc48a7b6455642e993
SHA512: eb80cf3e2de3de99d217f93dc54ee4eaa5aecc060133c37f2874564a7b9933104e9ed2c3abadd590facc782212fa2355a1e39e138ac933879587bfed5ce609c3
Homepage: https://cran.r-project.org/package=xgb2sql
Description: CRAN Package 'xgb2sql' (Convert Trained 'XGBoost' Model to SQL Query)
 This tool enables in-database scoring of 'XGBoost' models built in R, by
 translating trained model objects into SQL query.  'XGBoost'
 <https://xgboost.readthedocs.io/en/latest/index.html> provides parallel tree
 boosting (also known as gradient boosting machine, or GBM) algorithms in a
 highly efficient, flexible and portable way. GBM algorithm is introduced by
 Friedman (2001) <doi:10.1214/aos/1013203451>, and more details on 'XGBoost'
 can be found in Chen & Guestrin (2016) <doi:10.1145/2939672.2939785>.

Package: r-cran-xgrove
Architecture: all
Version: 0.1-15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 131
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-gbm, r-cran-dplyr, r-cran-rpart, r-cran-rpart.plot, r-cran-ggplot2
Suggests: r-cran-pdp, r-cran-randomforest
Filename: pool/dists/focal/main/r-cran-xgrove_0.1-15-1.ca2004.1_all.deb
Size: 100404
MD5sum: d03233a0861c12f134a0fa82dfd18678
SHA1: 59df5bed8874edc61b83bd77a0fa928fc076484a
SHA256: 47964782a77dd84c6ca0c8ea635078ae6083931dd597887d6266a6868ab1434b
SHA512: 9c40b07cd51470de1678e4b1b784d750920ee957d29251d527534d86a90a81c459a21900b1eb64667c0f3242d28599dd924e88e567fde64b58041ec59aac5d14
Homepage: https://cran.r-project.org/package=xgrove
Description: CRAN Package 'xgrove' (Explanation Groves)
 Compute surrogate explanation groves for predictive machine learning models
 and analyze complexity vs. explanatory power of an explanation according to
 Szepannek, G. and von Holt, B. (2023) <doi:10.1007/s41237-023-00205-2>.

Package: r-cran-xgxr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3629
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-assertthat, r-cran-binom, r-cran-deriv, r-cran-desctools, r-cran-dplyr, r-cran-ggplot2, r-cran-glue, r-cran-gtable, r-cran-hmisc, r-cran-labeling, r-cran-magrittr, r-cran-minpack.lm, r-cran-pander, r-cran-png, r-cran-rcurl, r-cran-readr, r-cran-scales, r-cran-stringr, r-cran-tibble
Suggests: r-cran-catools, r-cran-gridextra, r-cran-knitr, r-cran-pkgdown, r-cran-rmarkdown, r-cran-testthat, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-xgxr_1.1.2-1.ca2004.1_all.deb
Size: 2526256
MD5sum: d6afcb617c595380caa3e5885aa15555
SHA1: 40ab64f01ecca57279ac8acb6fb024f3a24ee1dc
SHA256: b698e1b096facbddb9c38ed972d6319fe4074c9ed5e4e1e992e8161117199a41
SHA512: 18237cfa32db43c9496dc0f5c03393b8a240b74c4ba33f5fb82bd8733a946de57dda76479787625815345b3eb2d8a8b9c10d82662b00e2880c9dd9323a1306f9
Homepage: https://cran.r-project.org/package=xgxr
Description: CRAN Package 'xgxr' (Exploratory Graphics for Pharmacometrics)
 Supports a structured approach for exploring PKPD data
 <https://opensource.nibr.com/xgx/>. It also contains helper functions for
 enabling the modeler to follow best R practices (by appending the program
 name, figure name location, and draft status to each plot). In addition, it
 enables the modeler to follow best graphical practices (by providing a theme
 that reduces chart ink, and by providing time-scale, log-scale, and
 reverse-log-transform-scale functions for more readable axes).  Finally, it
 provides some data checking and summarizing functions for rapidly exploring
 pharmacokinetics and pharmacodynamics (PKPD) datasets.

Package: r-cran-xhaz
Architecture: all
Version: 2.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 970
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-statmod, r-cran-survival, r-cran-gtools, r-cran-mexhaz, r-cran-numderiv, r-cran-optimparallel, r-cran-stringr, r-cran-survexp.fr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xhaz_2.0.2-1.ca2004.1_all.deb
Size: 751120
MD5sum: f99a7ab340cd9630afe55d2efaced34e
SHA1: 4580ee07ca0b9c9df3ea269d035f20b5fc53111d
SHA256: fa7c3c41e183995a8c223ea076747768230b849a4ca283dbd35c56a201aabdea
SHA512: ff5c78cf06de8714c3d6deeef97a7383ce3d70365a6ef7a033a0c31976768fd0ee936d0868f93385ce66d8fe7c827f084528182f92d34d9b7fc0467d38ce4c62
Homepage: https://cran.r-project.org/package=xhaz
Description: CRAN Package 'xhaz' (Excess Hazard Modelling Considering Inappropriate MortalityRates)
 Fits relative survival regression models with or without proportional excess
 hazards and with the additional possibility to correct for background
 mortality by one or more parameter(s). These models are relevant when the
 observed mortality in the studied group is not comparable to that of the
 general population or in population-based studies where the available life
 tables used for net survival estimation are insufficiently stratified. In
 the latter case, the proposed model by Touraine et al. (2020)
 <doi:10.1177/0962280218823234> can be used. The user can also fit a model
 that relaxes the proportional expected hazards assumption considered in the
 Touraine et al. excess hazard model. This extension was proposed by Mba et
 al. (2020) <doi:10.1186/s12874-020-01139-z> to allow non-proportional
 effects of the additional variable on the general population mortality. In
 non-population-based studies, researchers can identify non-comparability
 source of bias in terms of expected mortality of selected individuals. An
 excess hazard model correcting this selection bias is presented in
 Goungounga et al. (2019) <doi:10.1186/s12874-019-0747-3>. This class of
 model with a random effect at the cluster level on excess hazard is
 presented in Goungounga et al. (2023) <doi:10.1002/bimj.202100210>.

Package: r-cran-xhwe
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 80
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-xhwe_1.0-1.ca2004.1_all.deb
Size: 47964
MD5sum: 3e17f78b7d7233385eaf5974799df805
SHA1: 03c9d54ec8edee4a36a577a488c4ec3a501a9826
SHA256: 49098c3597c8c475b722bb50c7aa0e09be5e6b707aede12cf5ec60baa6ef42a0
SHA512: b727f8a7991ea8f94c22bc0988189a06fca35a3bf7f0f786c338f5198218c69f7f87f5c65a987a2ea970b7ba77d4c66e426ad6a9856dd40d9cd4183dd8d47015
Homepage: https://cran.r-project.org/package=XHWE
Description: CRAN Package 'XHWE' (X Chromosome Hardy-Weinberg Equilibrium)
 Conduct the likelihood ratio tests for Hardy-Weinberg equilibrium at marker
 loci on the X chromosome.

Package: r-cran-xicor
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-psychtools
Suggests: r-cran-testthat, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-xicor_0.4.1-1.ca2004.1_all.deb
Size: 45740
MD5sum: 2e5526dedcb3d2924cd3626e2bf62e71
SHA1: 44bd3383c0e1503277097dc43b950a9dc5119fcf
SHA256: 7a832f84e458bf62aed2e5899327b8f215981f0381858b509cb0010d0a53f2bb
SHA512: 7ec87992818830833fe017113e75c97f05d5bbcd8f6acd433f352691b32d9ef2b95c4a92b255448712a8842694374a7ceef65e9cc6c70e4df5486ae3ab1b3c61
Homepage: https://cran.r-project.org/package=XICOR
Description: CRAN Package 'XICOR' (Association Measurement Through Cross Rank Increments)
 Computes robust association measures that do not presuppose linearity. The
 xi correlation (xicor) is based on cross correlation between ranked
 increments.  The reference for the methods implemented here is Chatterjee,
 Sourav (2020) <arXiv:1909.10140> This package includes the Galton peas
 example.

Package: r-cran-ximple
Architecture: all
Version: 0.11-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 545
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ximple_0.11-3-1.ca2004.1_all.deb
Size: 347124
MD5sum: d82bd492bdf48df2a86f30cd162fb486
SHA1: ecabc69e9ac88069750444084682b800328406b2
SHA256: c1ee96555a09ff89c1a6a534c9d43a843645e211ad4debc04fcd9fbece2e9d7d
SHA512: a73467342fa0f849b7e016f17535ba484b4dfcf3a2657fb47c165128da6f9197a80f980085fd416d687eb11298127db980bda8b8b906d4aa6fee00683ba3c301
Homepage: https://cran.r-project.org/package=XiMpLe
Description: CRAN Package 'XiMpLe' (A Simple XML Tree Parser and Generator)
 Provides a simple XML tree parser/generator. It includes functions to read
 XML files into R objects, get information out of and into nodes, and write R
 objects back to XML code. It's not as powerful as the 'XML' package and
 doesn't aim to be, but for simple XML handling it could be useful. It was
 originally developed for the R GUI and IDE 'RKWard'
 <https://rkward.kde.org>, to make plugin development easier.

Package: r-cran-xkcd
Architecture: all
Version: 0.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 509
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-extrafont, r-cran-hmisc
Filename: pool/dists/focal/main/r-cran-xkcd_0.0.6-1.ca2004.1_all.deb
Size: 383368
MD5sum: 6be5f186038a770f7c0a8b7d7d7b3511
SHA1: fa42085e5ea5e524a2c301c5c9d02018c547c670
SHA256: 5f5eacb6b36ba56e66c78cb7f6016dbcfb69d7f27d01e2083e43ff36bdd1fa8c
SHA512: c9756152dda3970b1f8e582a81a6f25f33476b0beff00475385973c79a3fa672a4541e2347e795c0399a874604569a070e4581390d934a9285eaec29351bc4c1
Homepage: https://cran.r-project.org/package=xkcd
Description: CRAN Package 'xkcd' (Plotting ggplot2 Graphics in an XKCD Style)
 Plotting ggplot2 graphs using the XKCD style.

Package: r-cran-xkcdcolors
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-fnn
Filename: pool/dists/focal/main/r-cran-xkcdcolors_1.0-1.ca2004.1_all.deb
Size: 58108
MD5sum: 1f54ca0e4373a624f4aa95334b89853c
SHA1: e75743840c5d0ba1389aa47f576150d417778a05
SHA256: 9a40d74d58e6b6556f76cfb8fef315dfc11a6a5510f3abff741a3eb8cbfdc62f
SHA512: 7a649a5fae16f86b97642faa7c284e36cd0042dcd557df95c6030ed59e2283dc41188fbb626b1e6a49c8d46a848ee6aaf592fea277346c7d7fe5bf409d633ff4
Homepage: https://cran.r-project.org/package=xkcdcolors
Description: CRAN Package 'xkcdcolors' (Color Names from the XKCD Color Survey)
 The XKCD color survey asked participants to name colours. Randall Munroe
 published the top thousand(roughly) names and their sRGB hex values. This
 package lets you use them.

Package: r-cran-xkcddata
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 45
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr, r-cran-jsonlite, r-cran-glue, r-cran-htmltools, r-cran-assertthat
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xkcddata_0.1.0-1.ca2004.1_all.deb
Size: 13256
MD5sum: c1fb073624effd0e688c1c1dfd042d79
SHA1: 5ca341f79396633619a8214db0c476cdeae53841
SHA256: 8dbd72fb83a0dc0d0a45f642499f861f862cacaec6ff8a3602df9ffe0c846913
SHA512: f8702b90656b28c7d8d8b9e188aa02a9a48fabab845f787348c57ae9a732b5b18036c348c8fa1743bcca237451f141bb0dd67eb395992b93c08599016c225eec
Homepage: https://cran.r-project.org/package=XKCDdata
Description: CRAN Package 'XKCDdata' (Get XKCD Comic Data)
 Download data from individual XKCD comics, written by Randall Munroe
 <https://xkcd.com/>.

Package: r-cran-xlcharts
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1139
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-reticulate, r-cran-writexl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xlcharts_0.0.2-1.ca2004.1_all.deb
Size: 926208
MD5sum: e86949da744c0a8620c3dfcd36846aad
SHA1: 82d4bdc95a31ab244b5f989df9ac8e3dc31bc621
SHA256: 25d1a6e76a59a2670ef9343cb18acd46f9f8b1f3766aa9cc016163bb4ad5d904
SHA512: af2c146d1641dc9753ae34f6ec743c4c0d50bd338c2f43e1c6b2309d55a51dc8014f12635b29da3923cc99c981bc4cb9a73b070fb476a2c971a712092e7d9ed8
Homepage: https://cran.r-project.org/package=xlcharts
Description: CRAN Package 'xlcharts' (Create Native 'Excel' Charts and Work with Microsoft 'Excel'Files)
 An R interface to the 'OpenPyXL' 'Python' library to create native 'Excel'
 charts and work with Microsoft 'Excel' files.

Package: r-cran-xlconnect
Architecture: all
Version: 1.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 29356
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-rjava
Suggests: r-cran-runit, r-cran-lattice, r-cran-ggplot2, r-cran-zoo
Filename: pool/dists/focal/main/r-cran-xlconnect_1.2.2-1.ca2004.1_all.deb
Size: 23127224
MD5sum: 2211f08eec23277577d31b1ef7a4f1a0
SHA1: b42df32322d4f422e45b1275032ed09d15172e40
SHA256: 2a1e4a09265a8b3931bf68249bb11b734410c2fdc37a06bfea9ad3d7c1597c05
SHA512: d2983c251261b503ebd829c1f0af814a420404423f9a6759802ad1aeb52ae0c73f098e7b5e6e498e7fb9edce85e840a8eebf69bcd2b4a7b023bf97acb23afec9
Homepage: https://cran.r-project.org/package=XLConnect
Description: CRAN Package 'XLConnect' (Excel Connector for R)
 Provides comprehensive functionality to read, write and format Excel data.

Package: r-cran-xlcutter
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 917
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-tidyxl
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xlcutter_0.1.1-1.ca2004.1_all.deb
Size: 428572
MD5sum: 0191794fff941a664b5aaf337cc821fe
SHA1: 5b9ab4d7bf23959d42b2995b95360759e52637c6
SHA256: f1280f064486a2473cfaf892a2ea85053db616dbb2f2df9610367d6ba24e2831
SHA512: c865686772e47dce531ab037f46916091062719bec2bd014fcc55e2a1da93d1da2941462bfc2e92018989a53d952d9c799a04cb0ee7d6a67a9bc411ae7676d5e
Homepage: https://cran.r-project.org/package=xlcutter
Description: CRAN Package 'xlcutter' (Parse Batches of 'xlsx' Files Based on a Template)
 Parse entire folders of non-rectangular 'xlsx' files into a single
 rectangular and tidy 'data.frame' based on a custom template file defining
 the column names of the output.

Package: r-cran-xlink
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 147
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-survival
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xlink_1.0.1-1.ca2004.1_all.deb
Size: 76528
MD5sum: 0a40997611a172d4f97633199d691bae
SHA1: a73e0920bdd7c4666acf2dd9e21775f7fa98abec
SHA256: c2145165054e4bfe2c39354feaf779e791a033508ce3ac850312af641f13cc3b
SHA512: 5e1c76a89fe6fd0f0ff8234e0818286ef79c318eb75407a672006a87c288816f14bf666663cb9244a1ee958102d855f519635cb1c5805b7761e692f64bc31252
Homepage: https://cran.r-project.org/package=xlink
Description: CRAN Package 'xlink' (Genetic Association Models for X-Chromosome SNPS on Continuous,Binary and Survival Outcomes)
 The expression of X-chromosome undergoes three possible biological
 processes: X-chromosome inactivation (XCI), escape of the X-chromosome
 inactivation (XCI-E),and skewed X-chromosome inactivation (XCI-S). To
 analyze the X-linked genetic association for phenotype such as continuous,
 binary, and time-to-event outcomes with the actual process unknown, we
 propose a unified approach of maximizing the likelihood or partial
 likelihood over all of the potential biological processes. The methods are
 described in Wei Xu, Meiling Hao (2017) <doi:10.1002/gepi.22097>. And also
 see Dongxiao Han, Meiling Hao, Lianqiang Qu, Wei Xu (2019)
 <doi:10.1177/0962280219859037>.

Package: r-cran-xllim
Architecture: all
Version: 2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 298
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-mass, r-cran-abind, r-cran-corpcor, r-cran-matrix, r-cran-igraph, r-cran-capushe, r-cran-glmnet, r-cran-randomforest, r-cran-e1071, r-cran-mda, r-cran-progress, r-bioc-mixomics
Suggests: r-cran-shock
Filename: pool/dists/focal/main/r-cran-xllim_2.3-1.ca2004.1_all.deb
Size: 271600
MD5sum: 36a1ba800fafb957b15bf4624d8a40ed
SHA1: fe66aa00f4c5fe2930459b1faadf696dc8f0eabc
SHA256: 127be7667883bcc1dfc28a76cad00f4baf32381f31c3524234431c75e94392db
SHA512: 36849c3877293910e3e734d5c3e1103482044bcd5511d0b4d8adc6dfcb405af398a1d48abb3930d9f577fc4ce14ecb81d0be177d96b8cfb18564450845d21fe4
Homepage: https://cran.r-project.org/package=xLLiM
Description: CRAN Package 'xLLiM' (High Dimensional Locally-Linear Mapping)
 Provides a tool for non linear mapping (non linear regression) using a
 mixture of regression model and an inverse regression strategy. The methods
 include the GLLiM model (see Deleforge et al (2015)
 <DOI:10.1007/s11222-014-9461-5>) based on Gaussian mixtures and a robust
 version of GLLiM, named SLLiM (see Perthame et al (2016)
 <DOI:10.1016/j.jmva.2017.09.009>) based on a mixture of Generalized Student
 distributions. The methods also include BLLiM (see Devijver et al (2017)
 <arXiv:1701.07899>) which is an extension of GLLiM with a sparse block
 diagonal structure for large covariance matrices (particularly interesting
 for transcriptomic data).

Package: r-cran-xlr
Architecture: all
Version: 1.0.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 605
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-rlang, r-cran-vctrs, r-cran-haven, r-cran-openxlsx, r-cran-cli, r-cran-dplyr, r-cran-tibble, r-cran-pillar, r-cran-tidyr, r-cran-tidyselect
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-data.table, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-xlr_1.0.3-1.ca2004.1_all.deb
Size: 388436
MD5sum: e68256bd59a24f5e5bb06728f4633bee
SHA1: 9894056cf7858e61e56542d7351bd304de7303d6
SHA256: 4ce203de5078b6e483e9587cac46f92c82e6976a1228f7ed6b0194ec32ff8681
SHA512: e5e80bf84bb9974e223df6bd9b2504d39916b53a5615df69531ed06250ff2a42d51db29a913419436076c2ef445f23286178ceec4156ca8f48977d4d96041f1e
Homepage: https://cran.r-project.org/package=xlr
Description: CRAN Package 'xlr' (Create Table Summaries and Export Neat Tables to 'Excel')
 A high-level interface for creating and exporting summary tables to 'Excel'.
 Built on 'dplyr' and 'openxlsx', it provides tools for generating one-way to
 n-way tables, and summarizing multiple response questions and question
 blocks. Tables are exported with native 'Excel' formatting, including
 titles, footnotes, and basic styling options.

Package: r-cran-xls
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mpoly
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-xls_0.1.0-1.ca2004.1_all.deb
Size: 21624
MD5sum: 430c3c3398670f6de7dd726382e5321e
SHA1: dca18f618fb344bd59d6ebf807567f9a3f89f43c
SHA256: 87a01fb9faec21536f652ef11e58ff72fdd9425ddc6fa2643f1055ebdaeeae67
SHA512: e513422d3d8203dc62a91db56298ef46ce6e16017c4c6828af33bfa474cfba9f4d4ee4c9c6326dac483b541027bff89c39cc59930949317a8b6eb7beeb7f3cbe
Homepage: https://cran.r-project.org/package=XLS
Description: CRAN Package 'XLS' (A Modeling Approach that Optimizes Future Errors in LeastSquares)
 Given the date column as an ascending entry, future errors are included in
 the sum of squares of error that should be minimized based on the number of
 steps and weights you determine. Thus, it is prevented that the variables
 affect each other's coefficients unrealistically.

Package: r-cran-xlsform2word
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 83
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-readxl, r-cran-officer, r-cran-dplyr, r-cran-stringr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xlsform2word_0.1.0-1.ca2004.1_all.deb
Size: 50700
MD5sum: 94df4fcb27277000161660cc51c2efa2
SHA1: ed4561402a5906094fc39ee79e7bbf9e0988534b
SHA256: 09cf1d4d43bc4587eb41e63d46f8cae3ca9eb9ff3a13171cee0a4698053053d6
SHA512: 1ff43eb181117ec3a8c75ecac13beaaa45ae64119d161f5fb152b7a9f7338779338916d3e8a4c05acc568363d7ddfb25c64e42c885cd0f601760b7bc5f1ed52d
Homepage: https://cran.r-project.org/package=xlsform2word
Description: CRAN Package 'xlsform2word' (Convert 'XLSForm' to Structured 'Word' Document)
 Converts an 'XLSForm' (survey in 'Excel') into a well-structured 'Word'
 document, including sections, skip logic, options, and question labels.
 Designed to support survey documentation, training materials, and data
 collection workflows.  The package was developed based on field experience
 with 'XLSForm' and humanitarian operations, aiming to streamline
 documentation and enhance training efficiency.

Package: r-cran-xlsx2dfs
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 108
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-openxlsx
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xlsx2dfs_0.1.0-1.ca2004.1_all.deb
Size: 30304
MD5sum: 15659804ab249bf6b705c1c5079ab187
SHA1: 06ecd3d493bedb92d72b336e8e608f8cea5efba6
SHA256: 5884b2d814232751805b911a46815cdc1af2849346cf1c34e0dd932989a55dc7
SHA512: 686df04bac1df561b864f8f3c8af4a6892ef54f29ceb72fd183ac87c0e8c857ffac374d87e349adeaaa4ed8fd88e6997bfeaa43c42b611adcf2cf8955c4d872f
Homepage: https://cran.r-project.org/package=xlsx2dfs
Description: CRAN Package 'xlsx2dfs' (Read and Write 'Excel' Sheets into and from List of Data Frames)
 Reading and writing sheets of a single 'Excel' file into and from a list of
 data frames. Eases I/O of tabular data in bioinformatics while keeping them
 in a human readable format.

Package: r-cran-xlsx
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 558
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava, r-cran-xlsxjars
Suggests: r-cran-rprojroot, r-cran-testthat, r-cran-covr, r-cran-tibble, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xlsx_0.6.5-1.ca2004.1_all.deb
Size: 357820
MD5sum: 767f9dc81bbdca098c1ff87d70452590
SHA1: ec0aaa1943e442e84ba5981d80af64f692e71bfc
SHA256: 9b567a3424007b6cb0122d11b29fa4bcdd5aff8bd0639829aa6e8b6679485113
SHA512: 3f556c13b6d56abf2ad810689a71fd10c6bf8460224d6447b9e983507317be4d7c2891e31a6a6f7529855e55abfb6337eb7299500f73cb749a5d938a32e50baf
Homepage: https://cran.r-project.org/package=xlsx
Description: CRAN Package 'xlsx' (Read, Write, Format Excel 2007 and Excel 97/2000/XP/2003 Files)
 Provide R functions to read/write/format Excel 2007 and Excel
 97/2000/XP/2003 file formats.

Package: r-cran-xlsxjars
Architecture: all
Version: 0.6.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 10995
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjava
Filename: pool/dists/focal/main/r-cran-xlsxjars_0.6.1-1.ca2004.1_all.deb
Size: 9147860
MD5sum: 96c445db0f9474ac5273fd5e5efc713f
SHA1: 1bffac186ee3e7b09ecc13a6fcaa4783d8ddad24
SHA256: 7b506d51573b3db792966d631b6d5028016f03c56e3bd868b928107aceff21b9
SHA512: dd9a2cb56ef17e8a53c49e8059ef7120433751f4f7582ab8d1060655f724f7f91c16a78d82ed459a70e71bedcd33655cc3f3e18b3054f06821c2721111f03d53
Homepage: https://cran.r-project.org/package=xlsxjars
Description: CRAN Package 'xlsxjars' (Package required POI jars for the xlsx package)
 The xlsxjars package collects all the external jars required for the xlxs
 package. This release corresponds to POI 3.10.1.

Package: r-cran-xlutils3
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-readxl
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xlutils3_0.1.0-1.ca2004.1_all.deb
Size: 17604
MD5sum: 0bb171977c50b8f68267217ec7978284
SHA1: fb65c0840e282f21604874c1cd0c3c29c6554b0b
SHA256: 5366d41cb178c4b894c15c0b95f01dd1638676fdd3b081be89b7bc09351a93b0
SHA512: 2edb0258a391aee7ca35721e3d44dccb1eb7fba118db0b2ea59818a60b75ce711e4466d6b5a811030de57d97f376cfd1ae973f610759e600e1ddde7880336681
Homepage: https://cran.r-project.org/package=xlutils3
Description: CRAN Package 'xlutils3' (Extract Multiple Excel Files at Once)
 Extract Excel files from folder.  Also display extracted data and compute a
 summary of it.  Based on the 'readxl' package.

Package: r-cran-xmap
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 186
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-pillar, r-cran-rlang, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs
Suggests: r-cran-knitr, r-cran-purrr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xmap_0.1.0-1.ca2004.1_all.deb
Size: 87304
MD5sum: 5f1ffbf0918b8aba9c210d282c1c809f
SHA1: cc5d97871e50afe3d1f2eb9e8b5416708ddb7bf1
SHA256: f4e49623f9d02f0aeeeecc6f9c4003d99061d4793a6723fbe1b2829f40fcb47c
SHA512: d8278a168a8aafbc8949f2af569d259edb7b461e7a743812b7bf69455808d2410144189e135d878517d45f47ce6d420bc45c8da500e4c39c470e143436894416
Homepage: https://cran.r-project.org/package=xmap
Description: CRAN Package 'xmap' (Transforming Data Between Statistical Classifications)
 Provides support for transformations of numeric aggregates between
 statistical classifications (e.g. occupation or industry categorisations)
 using the 'Crossmaps' framework.  Implements classes for representing
 transformations between a source and target classification as graph
 structures, and methods for validating and applying crossmaps to transform
 data collected under the source classification into data indexed using the
 target classification codes.  Documentation about the 'Crossmaps' framework
 is provided in the included vignettes and in Huang (2024,
 <doi:10.48550/arXiv.2406.14163>).

Package: r-cran-xmeta
Architecture: all
Version: 1.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 187
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-plotrix, r-cran-aod, r-cran-glmmml, r-cran-numderiv, r-cran-metafor, r-cran-mvmeta, r-cran-mass
Filename: pool/dists/focal/main/r-cran-xmeta_1.3.3-1.ca2004.1_all.deb
Size: 154568
MD5sum: 5142c51431009b40e9d80b73bace8708
SHA1: 22f26982da1f55e2ceceb9c1b1dfcedb0ef1f912
SHA256: 550d70d032c653f4bdafdb912c5891a036789ddd1475a0fbf9f09e01821bddbd
SHA512: 2da9f7ad3f6175322e2f0333f35004e0fac9411e5b4e4973390c08ee4cc0cdc6521a6924dccebebbce574763b00808d1af5bd784a1121bca7e07b7e559277e3d
Homepage: https://cran.r-project.org/package=xmeta
Description: CRAN Package 'xmeta' (A Toolbox for Multivariate Meta-Analysis)
 A toolbox for meta-analysis. This package includes: 1,a robust multivariate
 meta-analysis of continuous or binary outcomes; 2, a bivariate Egger's test
 for detecting small study effects; 3, Galaxy Plot: A New Visualization Tool
 of Bivariate Meta-Analysis Studies; 4, a bivariate T&F method accounting for
 publication bias in bivariate meta-analysis, based on symmetry of the galaxy
 plot. Hong C. et al(2020) <doi:10.1093/aje/kwz286>, Chongliang L. et
 al(2020) <doi:10.1101/2020.07.27.20161562>.

Package: r-cran-xmisc
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 393
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-runit, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-xmisc_0.2.1-1.ca2004.1_all.deb
Size: 315156
MD5sum: c22da005e0a7a070ab38ffcafea50fa7
SHA1: 91b91437fdcb3370842e906030ad36f7a7560ff2
SHA256: 4744c9b34f14d6ff1495594f6401169d093109d8d5ff2b18f2a53f889edcfec0
SHA512: 8253bc5411fa8fdbe010f4e79ccf843f9c8fb07d8f23882453ac6d916757d828c1c923af851ff9b99af86a30a0c113900578c3da4b8487c2ff2a7eff035df65e
Homepage: https://cran.r-project.org/package=Xmisc
Description: CRAN Package 'Xmisc' (Xiaobei's miscellaneous classes and functions)
 This is Xiaobei's miscellaneous classes and functions useful when developing
 R packages, particularly for OOP using R Reference Class.

Package: r-cran-xml2r
Architecture: all
Version: 0.0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-xml, r-cran-httr, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-xml2r_0.0.8-1.ca2004.1_all.deb
Size: 40940
MD5sum: d631637ff9218368562349dcb2862bab
SHA1: 776e8489baf5f60db249eba97d5e580e7cde31c6
SHA256: b30acdfe481dd27da53606347d68fcee6a82f3613daf7301778b0520d175050b
SHA512: ff3c4431b014b98d76b16d7f7ec159593672e541390b92e96011e7f1952cd469b616775492c7e953aefd246945f342ce955dc62367d648b53c5fcce32f6369cd
Homepage: https://cran.r-project.org/package=XML2R
Description: CRAN Package 'XML2R' (Easier XML Data Collection)
 Helpers for transforming XML content into number of tables while preserving
 parent to child relationships.

Package: r-cran-xml2relational
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-stringr, r-cran-tidyr, r-cran-fs, r-cran-lubridate, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-xml2relational_0.1.1-1.ca2004.1_all.deb
Size: 64384
MD5sum: d728483c43ea4e0b7285abe797da3123
SHA1: c12e05e81d87588b98fea052c0498ac1fff01778
SHA256: e7068c0535afa42d2186522c89b1e082829748eb3ebbeffa22f2fed69816d22e
SHA512: 95756d47864fdbd353f00a7eb3f40eb8a36b7c95168e8e70f612e058543d423dbcb0865de2af98b46cc004003fdc380fd13da63d4c05a0baf12c98788d2e4d5d
Homepage: https://cran.r-project.org/package=xml2relational
Description: CRAN Package 'xml2relational' (Converting XML Documents into Relational Data Models)
 Import an XML document with nested object structures and convert it into a
 relational data model. The result is a set of R dataframes with foreign key
 relationships. The data model and the data can be exported as SQL code of
 different SQL flavors.

Package: r-cran-xmlconvert
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 114
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml2, r-cran-stringr, r-cran-readr, r-cran-tibble, r-cran-httr, r-cran-lubridate
Suggests: r-cran-xlsx
Filename: pool/dists/focal/main/r-cran-xmlconvert_0.1.2-1.ca2004.1_all.deb
Size: 71088
MD5sum: 3b449c7100711c4761191f75b6fdcf11
SHA1: 46911b557a74449abcb3375e0e05a4530cc39506
SHA256: 769cf60dfc86973032fde9e9574a7dc5f65916cfcf5aa3c039bba2fdb2666162
SHA512: 5380a1042c6545c64218e61459b2bba01724a0c7332e7f2a3b5c93c34d9f8835f19a160bcf92ee21231db74e8d785bec00716eb9e9db4e30ea7cc88f514937d5
Homepage: https://cran.r-project.org/package=xmlconvert
Description: CRAN Package 'xmlconvert' (Comfortably Converting XML Documents to Dataframes and ViceVersa)
 Converts XML documents to R dataframes and dataframes to XML documents.  A
 wide variety of options allows for different XML formats and flexible
 control of the conversion process. Results can be exported to CSV and Excel,
 if desired.  Also converts XML data to R lists.

Package: r-cran-xmlparsedata
Architecture: all
Version: 1.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-covr, r-cran-testthat, r-cran-xml2
Filename: pool/dists/focal/main/r-cran-xmlparsedata_1.0.5-1.ca2004.1_all.deb
Size: 19608
MD5sum: 7d84ee568eb850bb8bd3976d33bf09e0
SHA1: cad0cb1078051af49dbc8e6b4ad639eb3e4e94de
SHA256: 4be710d1baf8c592b14ebfe20eb2cccb998ef109682db70e91b76c83118ef569
SHA512: c53fb01a6993bed589ead59a4e51119e27066c4971ab55b8be599fa50760b780bb59e880f71db6d0b1a9647fa7634d03ad363154e5e5c93c7252fdcf30fb6e4e
Homepage: https://cran.r-project.org/package=xmlparsedata
Description: CRAN Package 'xmlparsedata' (Parse Data of 'R' Code as an 'XML' Tree)
 Convert the output of 'utils::getParseData()' to an 'XML' tree, that one can
 search via 'XPath', and easier to manipulate in general.

Package: r-cran-xmlr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 283
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xmlr_0.1.2-1.ca2004.1_all.deb
Size: 207396
MD5sum: 693d22dc1f75ff6efbf944eebcbf08fb
SHA1: 44b2b2fd1f7caae8beca179039c2f79ddfa1a3e7
SHA256: 8edb16d236242561bfbc99268036dd4d1c3c78855d7863337e06acf9e55d67e0
SHA512: c3daac923de3db7b287cc52b099051125b43166b8e2a0dfd271d67f8d6faae90d257d9afdc973c7cbb6b9f0590fb04950a63602e2a64dfd12bc0a67941de56ff
Homepage: https://cran.r-project.org/package=xmlr
Description: CRAN Package 'xmlr' (Read, Write and Work with 'XML' Data)
 'XML' package for creating and reading and manipulating 'XML', with an
 object model based on 'Reference Classes'.

Package: r-cran-xmlrpc2
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-xml2, r-cran-base64enc
Filename: pool/dists/focal/main/r-cran-xmlrpc2_1.2-1.ca2004.1_all.deb
Size: 31292
MD5sum: 5d500aeeb947ef10656a514c656f0f0a
SHA1: 53e4fbe58741fa049dd87459e73b505104dead51
SHA256: d290e27ebca8cf58727e4527cb62a35c3cef68332a03bb9d0d794858ddd89550
SHA512: d3dd8511099acc48b0479d60d2d858df01acd14762e4619e691b06eec155d8b910e7f377c19f5db03a22bb0a3d5a423dcac653a365a664fc6e68ebe41829a106
Homepage: https://cran.r-project.org/package=xmlrpc2
Description: CRAN Package 'xmlrpc2' (Implementation of the Remote Procedure Call Protocol ('XML-RPC'))
 The 'XML-RPC' is a remote procedure call protocol based on 'XML'. The
 'xmlrpc2' package is inspired by the 'XMLRPC' package but uses the 'curl'
 and 'xml2' packages instead 'RCurl' and 'XML'.

Package: r-cran-xmpdf
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 619
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-brio, r-cran-datetimeoffset, r-cran-jsonlite, r-cran-purrr, r-cran-r6, r-cran-rlang, r-cran-stringi
Suggests: r-cran-exiftoolr, r-cran-knitr, r-cran-qpdf, r-cran-pdftools, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xmpdf_0.2.1-1.ca2004.1_all.deb
Size: 322124
MD5sum: 79f9e19c739fe27c3456216bda9f3c81
SHA1: f73451f31f6eaf185e2880f16306ec58b1f59591
SHA256: bfb58bb18bc9052cd03bca2a3054cdeababc836ce5b9b8a176e31a7557650e31
SHA512: e662feeba81ae499ced76e47c91d9d4b21212973d780afd5aed26d9def0dc0e9a066f985041864c611f7ceac187e4dda370bafb036e050fd973c137d39853ad0
Homepage: https://cran.r-project.org/package=xmpdf
Description: CRAN Package 'xmpdf' (Edit 'XMP' Metadata and 'PDF' Bookmarks and Documentation Info)
 Edit 'XMP' metadata
 <https://en.wikipedia.org/wiki/Extensible_Metadata_Platform> in a variety of
 media file formats as well as edit bookmarks (aka outline aka table of
 contents) and documentation info entries in 'pdf' files.  Can detect and use
 a variety of command-line tools to perform these operations such as
 'exiftool' <https://exiftool.org/>, 'ghostscript'
 <https://www.ghostscript.com/>, and/or 'pdftk'
 <https://gitlab.com/pdftk-java/pdftk>.

Package: r-cran-xmrr
Architecture: all
Version: 1.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-tidyr, r-cran-ggplot2, r-cran-purrr, r-cran-rlang, r-cran-tibble, r-cran-qpdf
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xmrr_1.1.1-1.ca2004.1_all.deb
Size: 51420
MD5sum: 1250809501c84475ce59a298a9142900
SHA1: 48fd6afb2b9dd1808115ad52d661ac5315b20619
SHA256: 01650ebbb0803a3bb47556086c9238fb7d7e12d04005393354a6a62eaf3b0ad5
SHA512: 1701e761846b67981c90612978cde792ce80a4ef7952b4b9272f6a4dfb85c82353ee31b6dc312ef87d260af29de4515b5847f2b0f4765af44f9e496a158896d7
Homepage: https://cran.r-project.org/package=xmrr
Description: CRAN Package 'xmrr' (Generate XMR Control Chart Data from Time-Series Data)
 XMRs combine X-Bar control charts and Moving Range control charts. These
 functions also will recalculate the reference lines when significant change
 has occurred.

Package: r-cran-xnet
Architecture: all
Version: 0.1.11-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 813
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-bioc-chemminer, r-cran-covr, r-bioc-fmcsr
Filename: pool/dists/focal/main/r-cran-xnet_0.1.11-1.ca2004.1_all.deb
Size: 559656
MD5sum: 57eee2ab4d9880cd9535ffc3a3fb27da
SHA1: d427ad593ea8d3464c5f4e8b49c78e99150a7e74
SHA256: 1d79bc36074679215a3b366aaf4511e2fc4ae981ee499d0beedf2bd13253c09b
SHA512: 130bffdce708c4798e3fddec4d48498a4e6ce05f0592f7d2d723e8bbee824f06ba13f6c86d7b7aca67bb3a5691e276e2ea0af0c6212640a3e9d77839dfea613c
Homepage: https://cran.r-project.org/package=xnet
Description: CRAN Package 'xnet' (Two-Step Kernel Ridge Regression for Network Predictions)
 Fit a two-step kernel ridge regression model for predicting edges in
 networks, and carry out cross-validation using shortcuts for swift and
 accurate performance assessment (Stock et al, 2018 <doi:10.1093/bib/bby095>
 ).

Package: r-cran-xopen
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 76
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-processx
Suggests: r-cran-ps, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xopen_1.0.1-1.ca2004.1_all.deb
Size: 25036
MD5sum: b7f5b25aaf139605d612d2bd7bd1f3e4
SHA1: 2201a490e907704458f6b0e765c5d56b173ad8aa
SHA256: 41ad28cd312d460723327ca01d0cf323a8a6cd0374e4db436791609774d65a11
SHA512: 586368347443143fc13afabffd66d3079815c7be07558fe578bfe54a114f70b13c99d3c32c7194d1703204ba1cb6708c355b86c8e319e7beda524611bd419782
Homepage: https://cran.r-project.org/package=xopen
Description: CRAN Package 'xopen' (Open System Files, 'URLs', Anything)
 Cross platform solution to open files, directories or 'URLs' with their
 associated programs.

Package: r-cran-xpect
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 81
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-normalp, r-cran-glogis, r-cran-gld, r-cran-edfun, r-cran-purrr, r-cran-ald, r-cran-evd, r-cran-generalizedhyperbolic, r-cran-cubature, r-cran-furrr, r-cran-future, r-cran-xgboost, r-cran-rbayesianoptimization, r-cran-lubridate, r-cran-ggplot2, r-cran-scales
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xpect_1.0-1.ca2004.1_all.deb
Size: 50116
MD5sum: ec2c177570b5ab02d12995010a4a9713
SHA1: c8c1b09e8e95e7a9a04beac2217eb38648dd41ec
SHA256: 7f324901cff23dfc1da2ae3a0ccda5a93319cb1cd16d6f0d8f4e49424c2bba1b
SHA512: 4607900509ade6efe0af51fd71708f4b8d482c01322cdc32949a4c703493bffd5860d8b988ebdd12b37347cef749646450e2c3faa96d9ad0f889fc9f290ff580
Homepage: https://cran.r-project.org/package=xpect
Description: CRAN Package 'xpect' (Probabilistic Time Series Forecasting with XGBoost and ConformalInference)
 Implements a probabilistic approach to time series forecasting combining
 XGBoost regression with conformal inference methods. The package provides
 functionality for generating predictive distributions, evaluating
 uncertainty, and optimizing hyperparameters using Bayesian, coarse-to-fine,
 or random search strategies.

Package: r-cran-xpectr
Architecture: all
Version: 0.4.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 401
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-clipr, r-cran-checkmate, r-cran-dplyr, r-cran-fansi, r-cran-lifecycle, r-cran-plyr, r-cran-rlang, r-cran-rstudioapi, r-cran-testthat, r-cran-tibble, r-cran-withr
Suggests: r-cran-data.table, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xpectr_0.4.4-1.ca2004.1_all.deb
Size: 239848
MD5sum: b1902b6803aee96cfd6f88655e77fccd
SHA1: c66e088dee0866628808ff9da2aa2b6c3b5263f1
SHA256: 323bbb536292611a4e3f035aa6e0e50e5a9b9245b4875739063d0e46449c4f33
SHA512: b842a1214995f612d4b5ce62903a62509f68335b994fbb14437b51c83ebf0fc20a95c514cebd5ad1a63714d5a09da3b0effb40a91d801bf430a061e04ccac25c
Homepage: https://cran.r-project.org/package=xpectr
Description: CRAN Package 'xpectr' (Generates Expectations for 'testthat' Unit Testing)
 Helps systematize and ease the process of building unit tests with the
 'testthat' package by providing tools for generating expectations.

Package: r-cran-xplain
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xml, r-cran-readr, r-cran-rcurl, r-cran-httr
Suggests: r-cran-car
Filename: pool/dists/focal/main/r-cran-xplain_0.2.2-1.ca2004.1_all.deb
Size: 60160
MD5sum: eadc6c93c037c5b2c239783b53f22088
SHA1: c00b99ae4066f09afb4ad37ebcb233905853ed96
SHA256: e557580da7396e6eca8a4c6809517f003eaa759d031d06788653a39e53a3f013
SHA512: b56e0772ef43263fb702dafffa59dabb58ce936e7ffebce1ee9c0a3ac7d7f8cca6d0ee3efb4af030a1cbbfb8def21085bd68611b4a7327037018f30f7714e8b5
Homepage: https://cran.r-project.org/package=xplain
Description: CRAN Package 'xplain' (Providing Interactive Interpretations and Explanations ofStatistical Results)
 Allows to provide live interpretations and explanations of statistical
 functions in R. These interpretations and explanations are shown when the
 explained function is called by the user. They can interact with the values
 of the explained function's actual results to offer relevant, meaningful
 insights. The 'xplain' interpretations and explanations are based on an
 easy-to-use XML format that allows to include R code to interact with the
 returns of the explained function.

Package: r-cran-xplortext
Architecture: all
Version: 1.5.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 939
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-factominer, r-cran-ggplot2, r-cran-tm, r-cran-ape, r-cran-cluster, r-cran-dendextend, r-cran-flexclust, r-cran-flashclust, r-cran-ggdendro, r-cran-ggforce, r-cran-ggpubr, r-cran-ggrepel, r-cran-gridextra, r-cran-mass, r-cran-patchwork, r-cran-plotly, r-cran-stringi, r-cran-stringr, r-cran-slam, r-cran-vegan
Filename: pool/dists/focal/main/r-cran-xplortext_1.5.5-1.ca2004.1_all.deb
Size: 831908
MD5sum: 822f194138f330788c9b42852a33c049
SHA1: 31a942f418bcad3f44afb31e45922c4133144bfa
SHA256: 5eb29a8fea4b013e2221b0a338fd1b42fa9641dab25a2c5edd27e59cdc58d3ab
SHA512: c6634219400c02c15c4f2f6b537a9299d72aea78ac725d01f5dddaeada6608cd6876210762fda10eb966b86971de6bd6ac022d3c684b0f0390e65e4fddc34f4b
Homepage: https://cran.r-project.org/package=Xplortext
Description: CRAN Package 'Xplortext' (Statistical Analysis of Textual Data)
 Provides a set of functions devoted to multivariate exploratory statistics
 on textual data. Classical methods such as correspondence analysis and
 agglomerative hierarchical clustering are available. Chronologically
 constrained agglomerative hierarchical clustering enriched with
 labelled-by-words trees is offered. Given a division of the corpus into
 parts, their characteristic words and documents are identified. Further,
 accessing to 'FactoMineR' functions is very easy. Two of them are relevant
 in textual domain. MFA() addresses multiple lexical table allowing
 applications such as dealing with multilingual corpora as well as
 simultaneously analyzing both open-ended and closed questions in surveys.
 See <http://xplortext.unileon.es> for examples.

Package: r-cran-xportr
Architecture: all
Version: 0.4.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4847
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-dplyr, r-cran-glue, r-cran-haven, r-cran-lifecycle, r-cran-magrittr, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tidyselect
Suggests: r-cran-dt, r-cran-knitr, r-cran-labelled, r-cran-metacore, r-cran-pharmaverseadam, r-cran-readxl, r-cran-rmarkdown, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-xportr_0.4.2-1.ca2004.1_all.deb
Size: 1003852
MD5sum: 776325b012f82471cd0d57d9b517708d
SHA1: 11fccaa3ac634da52395e1dfa1e15ac813a7b1d9
SHA256: 5bbfdf7b7d4fc469e22b9933f65166e4789762d418d86d9c55c14ecb1c8bdc73
SHA512: f201567bbfbb91e3945c28e0782c8de24f5b8adfb9421547daea4497ae5b84ee22ae59e630d108d26b7317d302744ecf147cf9ad9068dbc5554d7f016b145c37
Homepage: https://cran.r-project.org/package=xportr
Description: CRAN Package 'xportr' (Utilities to Output CDISC SDTM/ADaM XPT Files)
 Tools to build CDISC compliant data sets and check for CDISC compliance.

Package: r-cran-xpose.nlmixr2
Architecture: all
Version: 0.4.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 84
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-xpose, r-cran-ggplot2, r-cran-dplyr, r-cran-tibble, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-cran-vpc, r-cran-crayon, r-cran-rlang, r-cran-nlmixr2est
Suggests: r-cran-readr, r-cran-nlmixr2
Filename: pool/dists/focal/main/r-cran-xpose.nlmixr2_0.4.1-1.ca2004.1_all.deb
Size: 46092
MD5sum: cd374f7f8bb403160860c80333c65995
SHA1: b90c53bd6122920952f78b63e46615618b1ebba0
SHA256: 3c70795a5c664e6f1b78d531beaa5c243b5c179628aeacd8c5e9506357e26376
SHA512: 27218db5e046e34de8fcbd05c92c01a6c5548578187154e3d1f405e7a6c055d1cfc7ee671d78544ef72922b451ec02ce91c13e327903a371bf8eced4d768402f
Homepage: https://cran.r-project.org/package=xpose.nlmixr2
Description: CRAN Package 'xpose.nlmixr2' (Graphical Diagnostics for Pharmacometric Models: Extension to'nlmixr2')
 Extension to 'xpose' to support 'nlmixr2'. Provides functions to import
 'nlmixr2' fit data into an 'xpose' data object, allowing the use of 'xpose'
 for 'nlmixr2' model diagnostics.

Package: r-cran-xpose.nlmixr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xpose, r-cran-ggplot2, r-cran-nlmixr, r-cran-dplyr, r-cran-tibble, r-cran-stringr, r-cran-tidyr, r-cran-magrittr, r-cran-vpc, r-cran-nlme, r-cran-crayon, r-cran-rlang
Filename: pool/dists/focal/main/r-cran-xpose.nlmixr_0.3.0-1.ca2004.1_all.deb
Size: 172132
MD5sum: bee63eaeb07bb739c76e31eac0e8cc35
SHA1: 3987604bad2b91cbb787aa890bd3c02d6b9df8e0
SHA256: 81407f761b15461cd8d6ebefed3db4fd7c77db86f8b41ee58b94a141af7c0cd5
SHA512: 95b0c7d8c0a26d65d65bd1a44332b28bcf8461607d334cae1fc46863c2b32f9d7b2bf677550a38a43ff8529420901cc18e28a4ee9ebd488b2abf55ed4d43db5b
Homepage: https://cran.r-project.org/package=xpose.nlmixr
Description: CRAN Package 'xpose.nlmixr' (Graphical Diagnostics for Pharmacometric Models: Extension to'nlmixr')
 Extension to 'xpose' to support 'nlmixr'. Provides functions to import
 'nlmixr' fit data into an 'xpose' data object, allowing the use of 'xpose'
 for 'nlmixr' model diagnostics.

Package: r-cran-xpose.xtras
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 7585
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-assertthat, r-cran-cli, r-cran-colorspace, r-cran-conflicted, r-cran-dplyr, r-cran-forcats, r-cran-ggally, r-cran-ggplot2, r-cran-glue, r-cran-lifecycle, r-cran-magrittr, r-cran-pmxcv, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-tidyselect, r-cran-vctrs, r-cran-xpose
Suggests: r-cran-diagrammer, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-vdiffr
Filename: pool/dists/focal/main/r-cran-xpose.xtras_0.0.2-1.ca2004.1_all.deb
Size: 4788836
MD5sum: 9979e660d1f4bf5aab1eb4a636f2617a
SHA1: 9eb8457db4f1db1d219b285819ce8299bae6bc56
SHA256: 37d31552e3281491ae315259896af368a1f9e30b0424f356363b9fc6ac1cb0a0
SHA512: 982382be71353cabe4defd9d8d6aceb593c387155e33e455802c93a2a8abd1c370b0866978933e4820bbc30a6e8abb1e2bb39f4335b16cf1eee258f1d32a4b25
Homepage: https://cran.r-project.org/package=xpose.xtras
Description: CRAN Package 'xpose.xtras' (Extra Functionality for the 'xpose' Package)
 Adding some at-present missing functionality, or functions unlikely to be
 added to the base 'xpose' package.  This includes some diagnostic plots that
 have been missing in translation from 'xpose4', but also some useful
 features that truly extend the capabilities of what can be done with
 'xpose'. These extensions include the concept of a set of 'xpose' objects,
 and diagnostics for likelihood-based models.

Package: r-cran-xpose4
Architecture: all
Version: 4.7.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2191
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-lattice, r-cran-hmisc, r-cran-survival, r-cran-dplyr, r-cran-tibble, r-cran-lazyeval, r-cran-gam, r-cran-readr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xpose4_4.7.3-1.ca2004.1_all.deb
Size: 2066616
MD5sum: 45bc7b4da11d3ebd2b2b2840c59d5a69
SHA1: 6e2531a39b23cc7789012ee4442846d0c4dbec2b
SHA256: 7534b113365f76c221fc9cd5928b9b965cd19270efeabdf7c72084dfa0953a18
SHA512: 6d5abaf6757a0a3562f10854cd7a680638b1f43a868aa6f0ea51d5a8315e79b319982cd01c9a88cd4c901648570d172d7ff4c0bad55c755bbc4fee6b3e18eaa0
Homepage: https://cran.r-project.org/package=xpose4
Description: CRAN Package 'xpose4' (Diagnostics for Nonlinear Mixed-Effect Models)
 A model building aid for nonlinear mixed-effects (population) model analysis
 using NONMEM, facilitating data set checkout, exploration and visualization,
 model diagnostics, candidate covariate identification and model comparison.
 The methods are described in Keizer et al. (2013) <doi:10.1038/psp.2013.24>,
 and Jonsson et al. (1999) <doi:10.1016/s0169-2607(98)00067-4>.

Package: r-cran-xpose
Architecture: all
Version: 0.4.19-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4418
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-dplyr, r-cran-ggforce, r-cran-purrr, r-cran-readr, r-cran-rlang, r-cran-stringr, r-cran-tibble, r-cran-tidyr, r-cran-vpc
Suggests: r-cran-here, r-cran-gridextra, r-cran-rmarkdown, r-cran-knitr, r-cran-testthat, r-cran-plotly, r-cran-webshot, r-cran-mvtnorm
Filename: pool/dists/focal/main/r-cran-xpose_0.4.19-1.ca2004.1_all.deb
Size: 2942552
MD5sum: 2a7dfc9d4f955dc419203034a39bf2ec
SHA1: f473fc716c097918196f356bf966f2ad62ca8e04
SHA256: 18bb683e87a02dbc06cc253af450183ca44b5a7e881c78c22042fe6b2c58cd48
SHA512: b2c84629f35c3e4bbeea8b2fd84963fabe6db6da0d699cababb58ac1cfe2946ee05dd620c3cc09826e7cf19375c9909d37da04e671b8c2cca9132130fa9dff2b
Homepage: https://cran.r-project.org/package=xpose
Description: CRAN Package 'xpose' (Diagnostics for Pharmacometric Models)
 Diagnostics for non-linear mixed-effects (population) models from 'NONMEM'
 <https://www.iconplc.com/solutions/technologies/nonmem/>.  'xpose'
 facilitates data import, creation of numerical run summary and provide
 'ggplot2'-based graphics for data exploration and model diagnostics.

Package: r-cran-xqtlbiolinks
Architecture: all
Version: 1.6.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2246
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-bioc-biocgenerics, r-cran-cowplot, r-cran-curl, r-cran-data.table, r-cran-dbi, r-bioc-summarizedexperiment, r-bioc-genomeinfodb, r-bioc-genomicfeatures, r-bioc-genomicranges, r-cran-ggplot2, r-cran-ggrepel, r-bioc-iranges, r-cran-jsonlite, r-cran-viridis, r-cran-rmysql, r-cran-stringr
Suggests: r-bioc-variantannotation, r-cran-pupillometryr, r-cran-coloc, r-cran-knitr, r-bioc-rtracklayer, r-cran-usethis, r-cran-ggridges, r-cran-cmplot, r-cran-r.utils
Filename: pool/dists/focal/main/r-cran-xqtlbiolinks_1.6.2-1.ca2004.1_all.deb
Size: 1674580
MD5sum: c03a8b1341401ead90592c006e023911
SHA1: 8ede1656df679914b280fd149509e1091d6b2487
SHA256: a46a3ca5b976e373b229bd53e731239680d958e4d778174e674572a17507da88
SHA512: f800ef43c790c7278767e8e1b09f8ca82f6654726a6974d80791521e89e4beaa44ffed3b866927610c7854a6cccde592580f18205b51e1461c532d3eb9896617
Homepage: https://cran.r-project.org/package=xQTLbiolinks
Description: CRAN Package 'xQTLbiolinks' (An R Package for Integrative Analysis of Quantitative TraitLocus Data of 'xQTL')
 Enables users-customized data retrieval, processing, analysis, and data
 visualization of molecular quantitative trait locus and gene expression data
 from public resources through the application programming interface
 <https://gtexportal.org/home/api-docs/index.html> of 'GTEx' and
 <http://www.ebi.ac.uk/eqtl/api> of 'eQTL cagalogue'.

Package: r-cran-xr
Architecture: all
Version: 0.7.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 751
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jsonlite
Filename: pool/dists/focal/main/r-cran-xr_0.7.2-1.ca2004.1_all.deb
Size: 641788
MD5sum: a8cdfb2ab32981d209e2840cb00815eb
SHA1: 52fb3655acfa0e5d9934be865a9a58051e4eb9bf
SHA256: 423ab30751099f917020c5e1b63a2222bc932934e4250cb91fe370486182fed3
SHA512: 62ff0dbdbc2026705149651ceac4aafce8cd14a31b46c5543214da78513a51ef5819e828008115b3c5c6336512b74ff98b9c6334c87aa9bda19d676f3ea9ff5f
Homepage: https://cran.r-project.org/package=XR
Description: CRAN Package 'XR' (A Structure for Interfaces from R)
 Support for interfaces from R to other languages, built around a class for
 evaluators and a combination of functions, classes and methods for
 communication. Will be used through a specific language interface package.
 Described in the book "Extending R".

Package: r-cran-xray
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-scales, r-cran-foreach, r-cran-ggplot2, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-xray_0.2-1.ca2004.1_all.deb
Size: 41972
MD5sum: a27e38af31869b78a1e1559ede2011cf
SHA1: 2bd2659536710cc0aeec1dd494b6d209005c2da1
SHA256: eb45df02e63131cabce6f24161e897ceca4c361af0c9088d54273419781efa1c
SHA512: 5b7e462ee9c5c26cbca1ce3ee365c61ad33fabe24ffce30db1b49ff92414eb482c4845b7090138ee1efc03c86bff29fb3ec03230cb5d443fa18179ca08fa69b8
Homepage: https://cran.r-project.org/package=xray
Description: CRAN Package 'xray' (X Ray Vision on your Datasets)
 Tools to analyze datasets previous to any statistical modeling.  Has various
 functions designed to find inconsistencies and understanding the
 distribution of the data.

Package: r-cran-xrf
Architecture: all
Version: 0.2.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-matrix, r-cran-glmnet, r-cran-xgboost, r-cran-dplyr, r-cran-fuzzyjoin, r-cran-rlang
Suggests: r-cran-testthat, r-cran-covr
Filename: pool/dists/focal/main/r-cran-xrf_0.2.2-1.ca2004.1_all.deb
Size: 70068
MD5sum: cc2e0dc8dd732701f76835cfd4f20d5b
SHA1: fbc31bde8e23bd27094bd9f3f0810838bc657347
SHA256: 0b93cf271396fa417e611a80610bfe2f6b40723ad4cd4a29726ccd76d607f723
SHA512: 3436f9fa8a219cbd4a8a226086ae9cf0375cdcc4b5d5057c6c45b10339ee683d7e0e3f6431eaf35fcdb8e421ada9a61d737be8e233194b268444d064e96c9067
Homepage: https://cran.r-project.org/package=xrf
Description: CRAN Package 'xrf' (eXtreme RuleFit)
 An implementation of the RuleFit algorithm as described in Friedman &
 Popescu (2008) <doi:10.1214/07-AOAS148>. eXtreme Gradient Boosting
 ('XGBoost') is used to build rules, and 'glmnet' is used to fit a sparse
 linear model on the raw and rule features. The result is a model that learns
 similarly to a tree ensemble, while often offering improved interpretability
 and achieving improved scoring runtime in live applications. Several
 algorithms for reducing rule complexity are provided, most notably
 hyperrectangle de-overlapping. All algorithms scale to several million rows
 and support sparse representations to handle tens of thousands of
 dimensions.

Package: r-cran-xring
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1955
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplr, r-cran-imager, r-cran-tcltk2, r-cran-tkrplotr
Suggests: r-cran-detrender
Filename: pool/dists/focal/main/r-cran-xring_0.1.1-1.ca2004.1_all.deb
Size: 1922116
MD5sum: 74ba3a27ee5545997ff14075db91c3e8
SHA1: 424a3f9fac8758151e3a59e7d9f77dc38c62a5a3
SHA256: b25d4db792419a79ac9cedb143959b39ccd43d829b2601e3a6a96614732b8d15
SHA512: f21982a20f502a9248eb91c5b9c699319b5a8d14dea629d77490f64ecfbba062a0236cdc353d63a66298d0813902d61f7f533901139878ffaf8e2d630562c816
Homepage: https://cran.r-project.org/package=xRing
Description: CRAN Package 'xRing' (Identify and Measure Tree Rings on X-Ray Micro-Density Profiles)
 Contains functions to identify tree-ring borders based on X-ray
 micro-density profiles and a Graphical User Interface (GUI) to visualize
 density profiles and correct tree-ring borders. Campelo F, Mayer K, Grabner
 M. (2019) <doi:10.1016/j.dendro.2018.11.002>.

Package: r-cran-xrjulia
Architecture: all
Version: 0.9.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 617
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-xr
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-xrjulia_0.9.0.1-1.ca2004.1_all.deb
Size: 489568
MD5sum: 24e9c337b6c71c19589679990703b5ca
SHA1: 06a4fa9d43f1ee29524186279c509bf0588025eb
SHA256: 2d71e47e24695bf50036c2101ea1534f81f1bd7b7b115dfe5d927b480fa7aa46
SHA512: e0f6acefee20fde8857f6c36fdd54544640acb6174c24d33b981b7f32f009c33f9a55a2d8abf987b0d5988d21a8fd1752a2751ca06117895154cce2c4ed7cdfa
Homepage: https://cran.r-project.org/package=XRJulia
Description: CRAN Package 'XRJulia' (Structured Interface to Julia)
 A Julia interface structured according to the general form described in
 package 'XR' and in the book "Extending R".

Package: r-cran-xroi
Architecture: all
Version: 0.9.20-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1198
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-colourpicker, r-cran-data.table, r-cran-jpeg, r-cran-lubridate, r-cran-moments, r-cran-rcurl, r-cran-raster, r-cran-rgdal, r-cran-rjson, r-cran-sp, r-cran-stringr, r-cran-tiff, r-cran-shiny, r-cran-shinyjs
Suggests: r-cran-knitr, r-cran-testthat, r-cran-rmarkdown, r-cran-shinybs, r-cran-shinyace, r-cran-shinytime, r-cran-shinyfiles, r-cran-shinydashboard, r-cran-shinythemes, r-cran-plotly
Filename: pool/dists/focal/main/r-cran-xroi_0.9.20-1.ca2004.1_all.deb
Size: 1008132
MD5sum: 9cfcc1f4a8ec10591bacd5233d57c008
SHA1: 72e38511a0f7006c1b5a30fbb1f4e7a9a30af5cc
SHA256: b6351a17844e510026dc5b37ba34694d67ef43892a0951d11c4c487278afc15d
SHA512: 238d474a4e62c2ee4099fc7a34acf321263b1b1d59b9c63a852c1514562455c6ab1045eeb296271a5b0c496c0d42cbffec74d7fb2259958aa56dc614bedecaeb
Homepage: https://cran.r-project.org/package=xROI
Description: CRAN Package 'xROI' (Delineate Region of Interests (ROI's) and Extract Time-SeriesData from Digital Repeat Photography Images)
 Digital repeat photography and near-surface remote sensing have been used by
 environmental scientists to study the environmental change for nearly a
 decade. However, a user-friendly, reliable, and robust platform to extract
 color-based statistics and time-series from a large stack of images is still
 lacking. Here, we present an interactive open-source toolkit, called 'xROI',
 that facilitate the process time-series extraction and improve the quality
 of the final data. 'xROI' provides a responsive environment for scientists
 to interactively a) delineate regions of interest (ROI), b) handle field of
 view (FOV) shifts, and c) extract and export time series data characterizing
 image color (i.e. red, green and blue channel digital numbers for the
 defined ROI). Using 'xROI', user can detect FOV shifts without minimal
 difficulty. The software gives user the opportunity to readjust the mask
 files or redraw new ones every time an FOV shift occurs. 'xROI' helps to
 significantly improve data accuracy and continuity.

Package: r-cran-xrpython
Architecture: all
Version: 0.8-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 610
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-xr, r-cran-reticulate
Filename: pool/dists/focal/main/r-cran-xrpython_0.8-1.ca2004.1_all.deb
Size: 503108
MD5sum: b76beb2033edaea7d539bddf923f0f1f
SHA1: 3ab21c24b0e0c16f4bcd96a88af5df939369b79a
SHA256: c513030b9088edbc5169e8f4bf6fb8b37b77d3ea2f33507bad456784913c4f04
SHA512: fbc529e507d0c56cc27315ce88b98ab5cf3aeff6daee2ae158a03e0846131e98f4457edf2a191198ba3fea9bb18801401c260d9b91c5dd847880551f1fdf2160
Homepage: https://cran.r-project.org/package=XRPython
Description: CRAN Package 'XRPython' (Structured Interface to 'Python')
 A 'Python' interface structured according to the general form described in
 package 'XR' and in the book "Extending R".

Package: r-cran-xrscc
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 173
Depends: r-base-core (>= 4.4.0), r-api-4.0
Filename: pool/dists/focal/main/r-cran-xrscc_0.2-1.ca2004.1_all.deb
Size: 133624
MD5sum: 3b4c40a55a6bd8b046d47759bba7ccfe
SHA1: d854026031646d865ea1c23552fa4bd416d1823a
SHA256: d1306752ee2a6f612798d7068168eeb5fc9426f3227c39cc7c3a31c06ca50bf6
SHA512: fb04a356abb2146bd4cea106675222d8418d7bfe9317ef835ffda0a5bfe02bcc85b66e7546e321cd2396827436a3222e6d1612d0b1fbb3f9df706cfbf52c9453
Homepage: https://cran.r-project.org/package=XRSCC
Description: CRAN Package 'XRSCC' (Statistical Quality Control Simulation)
 This is a set of statistical quality control functions, that allows plotting
 control charts and its iterations, process capability for variable and
 attribute control, highlighting the xrs_gr() function, like a first
 iteration for variable chart, meanwhile the we_rules() function detects non
 random patterns in sample.

Package: r-cran-xsp
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 52
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-reshape2
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xsp_0.1.2-1.ca2004.1_all.deb
Size: 21292
MD5sum: c938d9b66db997a91c48a14911c1557b
SHA1: 5a92c05d6eb0eb0c119192c47a1c002554d2dfc2
SHA256: 7687bca4611e14bbb1a9c40b0bf3cb540c70371e5a3bc97814469662c25ead2f
SHA512: 2d11998eae0a4648d3fe6705f4e8cb61229abe947a0603258fd7ef78165548c0f3854ab16f921fd70e5cbe4bfccff26553acd2b2c25cb87d7726a214d2afb895
Homepage: https://cran.r-project.org/package=xsp
Description: CRAN Package 'xsp' (The Chi-Square Periodogram)
 The circadian period of a time series data is predicted and the statistical
 significance of the periodicity are calculated using the chi-square
 periodogram.

Package: r-cran-xspliner
Architecture: all
Version: 0.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1089
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pdp, r-cran-dplyr, r-cran-ggplot2, r-cran-mgcv, r-cran-magrittr, r-cran-purrr, r-cran-tidyr
Suggests: r-cran-aleplot, r-cran-factormerger, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-resourceselection, r-cran-randomforest, r-cran-e1071, r-cran-caret, r-cran-breakdown, r-cran-dalex, r-cran-xgboost, r-cran-gridextra, r-cran-islr
Filename: pool/dists/focal/main/r-cran-xspliner_0.0.4-1.ca2004.1_all.deb
Size: 627932
MD5sum: 3cd949dd3e39cdc5717d34de89dd82b3
SHA1: 3b64449e463e10413ca907ec735094df6f82f932
SHA256: fbc08965b576750278e1eb33a996dfa16086709420e07429ad16aa6112a5326e
SHA512: d7529f37383285d7d4bca49ff52907abf206d56c8f4a859b5ffbd8886865a4650f4d9709086b81b64a27a7cc511d827ffefa11afc2053c41c6fdfa3f2879410a
Homepage: https://cran.r-project.org/package=xspliner
Description: CRAN Package 'xspliner' (Assisted Model Building, using Surrogate Black-Box Models toTrain Interpretable Spline Based Additive Models)
 Builds generalized linear model with automatic data transformation.  The
 'xspliner' helps to build simple, interpretable models that inherits
 informations provided by more complicated ones.  The resulting model may be
 treated as explanation of provided black box, that was supplied prior to the
 algorithm.

Package: r-cran-xsub
Architecture: all
Version: 3.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 759
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-countrycode, r-cran-haven, r-cran-rcurl
Filename: pool/dists/focal/main/r-cran-xsub_3.0.2-1.ca2004.1_all.deb
Size: 244556
MD5sum: 5abb9391401eaa583ec6b4d784d7e7d1
SHA1: a7afc03d7823af7d08557744b67d559af9133a99
SHA256: 49d422dc182277cf57ffc2f8f85fdcd63eca8e046192fbc994e0c2fc87dac107
SHA512: b90e2462836992f176b28d910c62e419a5acf88a0be186c327ae6db5c237114dcdbc1791a6001b2dd6a3d7a8077ef80a67c85b5f90f8cf1a677154ecde854e96
Homepage: https://cran.r-project.org/package=xSub
Description: CRAN Package 'xSub' (Cross-National Data on Sub-National Violence)
 Tools to download and merge data files on sub-national conflict, violence
 and protests from <http://www.x-sub.org>.

Package: r-cran-xtable
Architecture: all
Version: 1.8-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 812
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-plm, r-cran-zoo, r-cran-survival
Filename: pool/dists/focal/main/r-cran-xtable_1.8-4-1.ca2004.1_all.deb
Size: 684160
MD5sum: ffd18f5ac348da4cc50711eb555aeb1c
SHA1: 3a450848e1c76e04fd4299151d62f92473ffa43a
SHA256: dfa076127382d5be558da0ca6984687fa86d1406455ec2f5cf016d0955c45f28
SHA512: ae54950335d2f0d5ac477d716db5ba349f7dadcaf9e64a0a1c78135fbe1842db08fcbbb0c3832b0bf1573d1c17561e9e7eeae255b6c00f07fad3d6524987ef18
Homepage: https://cran.r-project.org/package=xtable
Description: CRAN Package 'xtable' (Export Tables to LaTeX or HTML)
 Coerce data to LaTeX and HTML tables.

Package: r-cran-xtal
Architecture: all
Version: 1.15-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-xtal_1.15-1.ca2004.1_all.deb
Size: 62764
MD5sum: dcdc786566d8a07ac17557977252e539
SHA1: f3ad952964c656c90b6ca89497a1d519957f09dc
SHA256: f1e148eb1bb223ebf6467f22028a44795f5320e5d3fb88c8716690f62f52d594
SHA512: 75bcd48541659449f253e06069c67f7753deb0275394ed7046a2d8383f38608edf59eb787aa5293b974e7218b633084e09467237b63206dbcf215f144aad0d69
Homepage: https://cran.r-project.org/package=xtal
Description: CRAN Package 'xtal' (Crystallization Toolset)
 This is the tool set for crystallographer to design and analyze
 crystallization experiments, especially for ribosome from Mycobacterium
 tuberculosis.

Package: r-cran-xtermstyle
Architecture: all
Version: 3.0.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 72
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-xtermstyle_3.0.5-1.ca2004.1_all.deb
Size: 43960
MD5sum: eca00aca4f9296242a02613b129693e7
SHA1: 9e8075435d9c37c5753762bdef6d44e1ecc4fa8e
SHA256: b12e353bbfcf2da9203b4cc7b40d36fe1bcc874d53df49bc2f05bd572aa9129e
SHA512: 4eeb8f7151e635545e2e68ce032be9374544bfb987ea44a7c81159f9dd6ce353a44b795183d35a0f36c0cdba5dce83ca79cf713bfa4af23acee21450b64ebf14
Homepage: https://cran.r-project.org/package=xtermStyle
Description: CRAN Package 'xtermStyle' (Terminal Text Formatting Using Escape Sequences)
 Can be used for coloring output in terminals.  It was developed for the
 standard Ubuntu terminal but should be compatible with any terminal using
 xterm or ANSI escape sequences. If run in windows, RStudio, or any other
 platform not supporting such escape sequences it gracefully passes on any
 output without modifying it.

Package: r-cran-xtranat
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 106
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-igraph, r-cran-kableextra, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xtranat_0.1.0-1.ca2004.1_all.deb
Size: 58036
MD5sum: 0e2f77aab274d9a0b58a307272cc99e9
SHA1: e7d9d946f199cab4c36f70c03b9202224b1dc8a0
SHA256: 7e3ae262fa1b348e748e9c419a179ba19060bbd0e98a183c66d246de27429230
SHA512: 01fa78f45eeb610ec93840fbf740657308bbe315ded8776dd980ac32919008971a673531ba4f79a43a1d74f84303e977c1f6dee756ab44eb13277fd765822d8b
Homepage: https://cran.r-project.org/package=xtranat
Description: CRAN Package 'xtranat' (Network Metrics Based on Random Walks)
 There are two new network metrics, RWC (random walk centrality) and CBET
 (counting betweenness). Also available are the normalized versions of those
 metrics. These measures of centrality and betweenness are particularly
 useful for the analysis of very dense weighted networks which include loops.
 Traditional measures do not work as well for those network characteristics.
 The main reference is DePaolis at al (2022)
 <doi:10.1007/s41109-022-00519-2>.

Package: r-cran-xtreg2way
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 105
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-pracma, r-cran-matrix, r-cran-mass
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xtreg2way_1.0.0-1.ca2004.1_all.deb
Size: 51540
MD5sum: 59180fc348072512198bcb7e280119b2
SHA1: b93cf7a2ee424c18a548fb9819c5c383e86d1175
SHA256: 51177b7d5fb5cd548748761250ee1729d057e412f9654319895e41e8652b57fb
SHA512: 49d8e1ce465969e4fd7a4c26633c367e9d2f50fea243239631b5f5ffc6cb52cf57486fb9a3c6916a49fa6af577dd85d9db6c114995ac0a918abb6d8698a0817d
Homepage: https://cran.r-project.org/package=xtreg2way
Description: CRAN Package 'xtreg2way' (Feasible Estimation of the Two-Way Fixed Effect Model)
 Implemented is an algorithm to estimate the two-way fixed effect linear
 model.  The coefficients of interest are computed using the residuals from
 the projection of all variables on the two sets of fixed effects. Our
 algorithm has three desirable features. First, it manages memory and
 computational resources efficiently which speeds up the computation of the
 estimates.  Second, it allows the researcher to estimate multiple
 specifications using the same set of fixed effects at a very low
 computational cost.  Third, the asymptotic variance of the parameters of
 interest can be consistently estimated using standard routines on the
 residualized data.  Somaini P., Wolak F. A. (2016)
 <doi:10.1515/jem-2014-0008> Arellano, M. (1987)
 <https://ideas.repec.org/a/bla/obuest/v49y1987i4p431-34.html>.

Package: r-cran-xtsum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-knitr, r-cran-magrittr, r-cran-rlang, r-cran-plm, r-cran-dplyr, r-cran-kableextra, r-cran-sampleselection
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-xtsum_0.1.0-1.ca2004.1_all.deb
Size: 42028
MD5sum: 8eac9e5436b11275edd9d8269adb2e58
SHA1: c6cc4683d02fc096f64aea120f78c4bfb86b3f3d
SHA256: 18e0e6607b5107a5c91522727fc6e0fee5389ce7d3629e76d474f6213431c7e4
SHA512: 48b6d9bc07eca417f523c39bc9805b6345c08256849ca5b5a788e9e323b5bfd85f326a5d5833056faa2e4f1574cd1ef873a4a6b6112834cb3620ab4fd4721948
Homepage: https://cran.r-project.org/package=xtsum
Description: CRAN Package 'xtsum' (Summary Statistics for Panel Data)
 Based on 'STATA' xtsum command, it is used to compute summary statistics for
 a panel data set. It generates overall, between-group, and within-group
 statistics for specified variables in a panel data set, as presented in S.
 Porter (2023) <https://stephenporter.org/files/xtsum_handout.pdf>, StataCorp
 (2023) <https://www.stata.com/manuals/xtxtsum.pdf>.

Package: r-cran-xtune
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4170
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-glmnet, r-cran-crayon, r-cran-selectiveinference, r-cran-lbfgs
Suggests: r-cran-knitr, r-cran-numderiv, r-cran-rmarkdown, r-cran-testthat, r-cran-covr, r-cran-proc
Filename: pool/dists/focal/main/r-cran-xtune_2.0.0-1.ca2004.1_all.deb
Size: 4155008
MD5sum: 57c4faee9be2adf12cbadd2c20003161
SHA1: d58d282fa047d802622f5c1acf63c04e0b437529
SHA256: b7da66e094cb3de9a0b4edb9a826ae7cef966ade9e7001103a3276c85c4716fd
SHA512: 3a45f1bb371dd5715f8de4a0a8d41b2ecb3ed2966bac5f9852b8759ed30868d8c28e28b165dfa4b26c7eb4187582b2524c7dcf165ec5f5aff847b5d773bd0927
Homepage: https://cran.r-project.org/package=xtune
Description: CRAN Package 'xtune' (Regularized Regression with Feature-Specific PenaltiesIntegrating External Information)
 Extends standard penalized regression (Lasso, Ridge, and Elastic-net) to
 allow feature-specific shrinkage based on external information with the goal
 of achieving a better prediction accuracy and variable selection. Examples
 of external information include the grouping of predictors, prior knowledge
 of biological importance, external p-values, function annotations, etc. The
 choice of multiple tuning parameters is done using an Empirical Bayes
 approach. A majorization-minimization algorithm is employed for
 implementation.

Package: r-cran-xva
Architecture: all
Version: 1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-saccr, r-cran-trading, r-cran-data.table
Filename: pool/dists/focal/main/r-cran-xva_1.3-1.ca2004.1_all.deb
Size: 70620
MD5sum: 29f9e7c7b048dd1ffc7541c01103599c
SHA1: dc108f1ae156953bc02acecf01f0e3e96e9044a8
SHA256: 023786493a9c768212852c7a260c97923b45e4d11d76a70a8b392a8c5cd7e66a
SHA512: 6da61cad80d2c58cf90f85151cc4e698fce1e7186b0ffd7f3d34f9251af72436274deb2d73a9bbf1da7ddb6bf5dd27d9a34023696ade329e3b770eeee0093e6f
Homepage: https://cran.r-project.org/package=xVA
Description: CRAN Package 'xVA' (Credit Risk Valuation Adjustments)
 Calculates a number of valuation adjustments including CVA, DVA, FBA, FCA,
 MVA and KVA. A two-way margin agreement has been implemented. For the KVA
 calculation four regulatory frameworks are supported: CEM, (simplified)
 SA-CCR, OEM and IMM. The probability of default is implied through the
 credit spreads curve.  The package supports an exposure calculation based on
 SA-CCR which includes several trade types and a simulated path which is
 currently available only for Interest Rate Swaps. The latest regulatory
 capital charge methodologies have been implementing including BA-CVA &
 SA-CVA.

Package: r-cran-xvm
Architecture: all
Version: 0.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4511
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-tidyr, r-cran-ggnewscale, r-cran-plotly
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-ggpubr, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-xvm_0.0.2-1.ca2004.1_all.deb
Size: 1240204
MD5sum: f845a5ecc3b24b367e650b9190e1c0d7
SHA1: 58477ed015c652bcc25f17c048c1a58afe401c70
SHA256: 5db08322af836dd4c9146774228dde3519b8722a6dddfb6395294e839d530898
SHA512: 1d1550582c859347b7743c54c659f19207883a5cd3ebc7ecdad0e8b55e058beab7250c8eb501ea652bd48c1b298438b5ed65247e49e8201861b3bf4cbe40f8fe
Homepage: https://cran.r-project.org/package=xvm
Description: CRAN Package 'xvm' (Read, Parse and Visualize 'XVG'/'XPM' Files from MolecularDynamics)
 Provides tools for reading, parsing and visualizing simulation data stored
 in 'xvg'/'xpm' file formats (commonly generated by 'GROMACS' molecular
 dynamics software). Streamlines post-processing and analysis of molecular
 dynamics ('MD') simulation outputs, enabling efficient exploration of
 molecular stability and conformational changes. Supports import of
 trajectory metrics ('RMSD', energy, temperature) and creation of
 publication-ready visualizations through integration with 'ggplot2'.

Package: r-cran-xwf
Architecture: all
Version: 0.2-3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mgcv
Filename: pool/dists/focal/main/r-cran-xwf_0.2-3-1.ca2004.1_all.deb
Size: 34220
MD5sum: 18a5e8576271571e21f05d49211112d6
SHA1: 179dea71b17e68f8e9ac411907f992431d499688
SHA256: 16565434116e73f98419761c5e268bd54f849e4d3df3e3c62bdc6a8223f47cd6
SHA512: 3cabdd284d4851277cf2b65d47cbba5f22b5c283d4f47b58b44a6ac5fa0c0d8712eb408a3a1be5ac4c0bff09d4783bdff1a10f1eccb5e7b7f3366200349276f9
Homepage: https://cran.r-project.org/package=xwf
Description: CRAN Package 'xwf' (Extrema-Weighted Feature Extraction)
 Extrema-weighted feature extraction for varying length functional data.
 Functional data analysis method that performs dimensionality reduction based
 on predefined features and allows for quantile weighting. Method implemented
 as presented in van den Boom et al. (2018)
 <doi:10.1093/bioinformatics/bty120>.

Package: r-cran-xxdi
Architecture: all
Version: 1.2.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 65
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-agop, r-cran-dplyr, r-cran-ggplot2, r-cran-matrix, r-cran-tidyr
Filename: pool/dists/focal/main/r-cran-xxdi_1.2.4-1.ca2004.1_all.deb
Size: 33380
MD5sum: 655acd8fcf677542a78d2039a2bad3a3
SHA1: 25bb809a1a59be080b0495767d8817a6b667ea82
SHA256: 7cb917364f80a8182aa771e9dcd1831d0f642858877ce89ae3ad3253055f445d
SHA512: f88f48379593ae8e6d5c6f5dc06fe833d32a78524da1869549a14bdcb3b0187f4e1962297b2fbe339d8b210b4e06a56e5f268664e4a3d75def48c4c6af35ef48
Homepage: https://cran.r-project.org/package=xxdi
Description: CRAN Package 'xxdi' (Calculate Expertise Indices)
 Institutional performance assessment remains a key challenge to a multitude
 of stakeholders. Existing indicators such as h-type indicators, g-type
 indicators, and many others do not reflect expertise of institutions that
 defines their research portfolio. The package offers functionality to
 compute and visualise two novel indices: the x-index and the xd-index. The
 x-index evaluates an institution's scholarly expertise within a specific
 discipline or field, while the xd-index provides a broader assessment of
 overall scholarly expertise considering an institution's publication pattern
 and strengths across coarse thematic areas. These indices offer a nuanced
 understanding of institutional research capabilities, aiding stakeholders in
 research management and resource allocation decisions. Lathabai, H.H.,
 Nandy, A., and Singh, V.K. (2021) <doi:10.1007/s11192-021-04188-3>. Nandy,
 A., Lathabai, H.H., and Singh, V.K. (2023) <doi:10.5281/zenodo.8305585>.
 This package provides the h, g, x, and xd indices for use with standard
 format of Web of Science (WoS) scrapped datasets.

Package: r-cran-xxirt
Architecture: all
Version: 2.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 348
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-glpkapi, r-cran-lpsolveapi, r-cran-reshape2
Filename: pool/dists/focal/main/r-cran-xxirt_2.1.2-1.ca2004.1_all.deb
Size: 313624
MD5sum: ddb9184566a824b8203336dcdcc5371c
SHA1: c0894630c076db42137aecba91d3eadaed120e7f
SHA256: 40f84f352955381330e806b430a2f5f8f0293794b0277f90f714853e60d4ba62
SHA512: 249a7111a83356a6e8372109d632a17725815fe62832745c3603df7b759eb0acd357e1262947ca6dbd35a4f70801aaaebc1245afe20f637f7565263604955533
Homepage: https://cran.r-project.org/package=xxIRT
Description: CRAN Package 'xxIRT' (Item Response Theory and Computer-Based Testing in R)
 A suite of psychometric analysis tools for research and operation,
 including: (1) computation of probability, information, and likelihood for
 the 3PL, GPCM, and GRM; (2) parameter estimation using joint or marginal
 likelihood estimation method; (3) simulation of computerized adaptive
 testing using built-in or customized algorithms; (4) assembly and simulation
 of multistage testing.  The full documentation and tutorials are at
 <https://github.com/xluo11/xxIRT>.

Package: r-cran-yacca
Architecture: all
Version: 1.4-2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 92
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-rspectra
Filename: pool/dists/focal/main/r-cran-yacca_1.4-2-1.ca2004.1_all.deb
Size: 61320
MD5sum: bfaae1b2800fcdcf9d7dc3fa7543451e
SHA1: 66322c628f196468ddd50dd25df92d538dc2da06
SHA256: 8003a9de0b45c4c60653079aa8d92abc92c6407d4b21646282b13214ba314eea
SHA512: a3504a6fca1d4e1320d235b049a8e558752b0151d76f12f1a81b02e65d944d142eb38b7235187624d9ae591059cbc7ff5256d6f41868da87695fcf83d3d9189b
Homepage: https://cran.r-project.org/package=yacca
Description: CRAN Package 'yacca' (Yet Another Canonical Correlation Analysis Package)
 An alternative canonical correlation/redundancy analysis function, with
 associated print, plot, and summary methods.  A method for generating helio
 plots is also included.

Package: r-cran-yager
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 100
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randtoolbox, r-cran-lhs, r-cran-mlmetrics
Filename: pool/dists/focal/main/r-cran-yager_0.1.1-1.ca2004.1_all.deb
Size: 68812
MD5sum: bd3496913e989b84c0a97f3a552fd595
SHA1: 9750097a5c4b41471473565ed96685966443f2ea
SHA256: d6ba5d6840c57bba65c1d68184d497020673c6a922bbe14dc92e33b7723c9bbf
SHA512: 6ae42e9f1171042d974f17a124bf979a620f864417eecadbce4df4eaefb031c36e5bd1ba408e9be361239d3342d15de5b24d9ab6640b9b5e8535d5b55dba4f79
Homepage: https://cran.r-project.org/package=yager
Description: CRAN Package 'yager' (Yet Another General Regression Neural Network)
 Another implementation of general regression neural network in R based on
 Specht (1991) <DOI:10.1109/72.97934>. It is applicable to the functional
 approximation or the classification.

Package: r-cran-yahoofinancer
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-curl, r-cran-httr, r-cran-jsonlite, r-cran-lubridate, r-cran-magrittr, r-cran-purrr, r-cran-r6, r-cran-stringr
Suggests: r-cran-covr, r-cran-httptest, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yahoofinancer_0.4.0-1.ca2004.1_all.deb
Size: 122988
MD5sum: f87abb159a4439425d596c75300d2809
SHA1: 83cccfea0910ce4af7d324573a3c33af0ae33956
SHA256: 1d704d5b227d57d8d472758dc771471038d75f307e456d65975a249a1223cd3a
SHA512: ac9e2064364921c3e336ef14f14687e67e395e396182eee93c0473bb02db74a158650a9521f97f5d7877b96ec921fbf8c0af8d2ff228e2d8c8710d5ef3865cf6
Homepage: https://cran.r-project.org/package=yahoofinancer
Description: CRAN Package 'yahoofinancer' (Fetch Data from Yahoo Finance API)
 Obtain historical and near real time data related to stocks, index and
 currencies from the Yahoo Finance API. This package is community maintained
 and is not officially supported by 'Yahoo'. The accuracy of data is only as
 correct as provided on <https://finance.yahoo.com/>.

Package: r-cran-yaletoolkit
Architecture: all
Version: 4.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 238
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-foreach, r-cran-iterators
Filename: pool/dists/focal/main/r-cran-yaletoolkit_4.2.3-1.ca2004.1_all.deb
Size: 198376
MD5sum: a7767f22d25946e2a7c245b753524450
SHA1: 9170293d5b3ee8a07098d59ed4bb1eef48b86678
SHA256: 25875d5da5e3fdeebd7931722be031b8eaee73ae4e5ec289ee7520101b35f4ae
SHA512: 472207919b8884c72943132795039296dda8e9ce4a8e282861208dd1272165a3a49ef3e474055bf28860db6456f5fde313203d8e162ecbd41ee4688c7808da82
Homepage: https://cran.r-project.org/package=YaleToolkit
Description: CRAN Package 'YaleToolkit' (Data Exploration Tools from Yale University)
 This collection of data exploration tools was developed at Yale University
 for the graphical exploration of complex multivariate data; barcode and
 gpairs now have their own packages.  The big.read.table() function provided
 here may be useful for large files when only a subset is needed (but please
 see the note in the help page for this function).

Package: r-cran-yamlet
Architecture: all
Version: 1.2.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3019
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-yaml, r-cran-csv, r-cran-encode, r-cran-units, r-cran-spork, r-cran-ggplot2, r-cran-scales, r-cran-dplyr, r-cran-rlang, r-cran-xtable, r-cran-tidyr, r-cran-vctrs, r-cran-pillar, r-cran-knitr
Suggests: r-cran-testthat, r-cran-magrittr, r-cran-table1, r-cran-rmarkdown, r-cran-gridextra, r-cran-haven, r-cran-tablet, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-yamlet_1.2.5-1.ca2004.1_all.deb
Size: 1894580
MD5sum: 4a79540c2548321094bbb2140a7d147e
SHA1: 88553d59578e0da695ba5e11c816ae00e83835c2
SHA256: 94839e54828ff5d9595c9973aabf7471f9b18541c6acbb1e83a9c25d2e495e90
SHA512: 61afbaffca099b043cd4877b9556831dcefa1cc73ce1c510776368126d6793d393fb5922b8e18185f55dca07a60cd18487b0321dcdf54e8d76dc53d4e99ff712
Homepage: https://cran.r-project.org/package=yamlet
Description: CRAN Package 'yamlet' (Versatile Curation of Table Metadata)
 A YAML-based mechanism for working with table metadata. Supports compact
 syntax for creating, modifying, viewing, exporting, importing, displaying,
 and plotting metadata coded as column attributes. The 'yamlet' dialect is
 valid 'YAML' with defaults and conventions chosen to improve readability.
 See ?yamlet, ?decorate, ?modify, ?io_csv, and ?ggplot.decorated.

Package: r-cran-yamlme
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 124
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rmarkdown, r-cran-yaml
Suggests: r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yamlme_0.1.2-1.ca2004.1_all.deb
Size: 56432
MD5sum: e7b134d9fd1d1029f692c0a8a1f331ad
SHA1: 7bf71676bd58000fdf15d8b5cc39c11d8e1e560f
SHA256: e030be5670d2b3dc2a9ebe5ac82c1fdfaa537c75e9c8ebb4459a200279c1e0c4
SHA512: 34666566061ec80bdce69c9923654040c4676a7f016c0a2ce8230bbb64dceaf9da7ae468f1132a9adc8a273ff893a791accdf94a1132855c961ec1447a52b099
Homepage: https://cran.r-project.org/package=yamlme
Description: CRAN Package 'yamlme' (Writing 'YAML' Headers for 'R-Markdown' Documents)
 Setting layout through 'YAML' headers in 'R-Markdown' documents, enabling
 their automatic generation.  Functions and methods may summarize 'R' objects
 in automatic reports, for instance check-lists and further reports applied
 to the packages 'taxlist' and 'vegtable'.

Package: r-cran-yap
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 89
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-randtoolbox, r-cran-lhs
Filename: pool/dists/focal/main/r-cran-yap_0.1.1-1.ca2004.1_all.deb
Size: 58104
MD5sum: 758c4d37a64c21f399d87a8203583d84
SHA1: 57e28e3f0fda58761df41d96753e8d9c5dbb148d
SHA256: 5fececd824b2d3fe8611e885eb1cf26ba3472a12917cb89334a8e081cd5791de
SHA512: 9bcc1740194f1dae8c41e53aa8bb7d27c87ec25524d13bbdd8f232e04694626a7c9e534902535fcbdcb93ecb96052ec7e1233e7a116816ddf07ab66a4c2cfed9
Homepage: https://cran.r-project.org/package=yap
Description: CRAN Package 'yap' (Yet Another Probabilistic Neural Network)
 Another implementation of probabilistic neural network in R based on Specht
 (1990) <DOI:10.1016/0893-6080(90)90049-Q>. It is applicable to the pattern
 recognition with a N-level response, where N > 2.

Package: r-cran-yarr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yarr_0.1.2-1.ca2004.1_all.deb
Size: 35580
MD5sum: 75d5f9d3ccc757df64d538e5c48a020a
SHA1: 641febbdb9a2bfa53507eb437d6d229a55aa8d15
SHA256: a68abd7518d6fc85d63ee3dcb0a7ec4714e0f955e7b2eb522c2dde2143d61c40
SHA512: 11d7894949a1b1bc1eedbe38e268230edf604d2af276d8ac12d13fa72c35bb21761c390b2c3c772c698a05e743e218a4fe4b767b8facbfc1ae9c7a99b248880f
Homepage: https://cran.r-project.org/package=yarr
Description: CRAN Package 'yarr' (Yet Another 'ARFF' Reader)
 A parser and a writer for 'WEKA' Attribute-Relation File Format
 <https://waikato.github.io/weka-wiki/arff_stable/> in pure R, with no
 dependencies.  As opposed to other R implementations, this package can read
 standard (dense) as well as sparse files, i.e. those where each row does
 only contain nonzero components. Unlike 'RWeka', 'yarr' does not require any
 'Java' installation nor is dependent on external software. This
 implementation is generalized from those in packages 'mldr' and
 'mldr.datasets'.

Package: r-cran-yarrr
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4656
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-jpeg, r-cran-bayesfactor, r-cran-circlize
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-yarrr_0.1.5-1.ca2004.1_all.deb
Size: 3817188
MD5sum: 8ff19c4ec1d50a844b9bba8be1b24d4a
SHA1: 3b53eb3b4bd8441c6f4713a792620fdaf94e9516
SHA256: a3f48940e0061f53a37f2b1918129f54f86c4008815875a67b83323710018973
SHA512: f4e6277df1fd0d0c05b75e6c21d1cd10d1c81e5d2b4b5c8d05c5c17e7b08e5e138101e2fcedce282fa0603cec45d0d5341a5f9e1aa040602895c021fbadea051
Homepage: https://cran.r-project.org/package=yarrr
Description: CRAN Package 'yarrr' (A Companion to the e-Book "YaRrr!: The Pirate's Guide to R")
 Contains a mixture of functions and data sets referred to in the
 introductory e-book "YaRrr!: The Pirate's Guide to R". The latest version of
 the e-book is available for free at <https://www.thepiratesguidetor.com>.

Package: r-cran-yasp
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 62
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-yasp_0.2.0-1.ca2004.1_all.deb
Size: 29260
MD5sum: 96e57c96b8fd6c0757f378cb0e09ac9f
SHA1: 4b8defbdfb06ddcb060c773af710cd3df7285c96
SHA256: a8de4c4fef5d148fede28a514f844ee6f1dd81a767e368cf938aaadf49a9f2fe
SHA512: f96ae3ea275fd03848891b8f0c0d041d318e369c1c972317b0144c0cccd87aca3115626fc14d0bd37b0c4ed358be75d98f8c62e7840bab41c511a124bc0cc78c
Homepage: https://cran.r-project.org/package=yasp
Description: CRAN Package 'yasp' (String Functions for Compact R Code)
 A collection of string functions designed for writing compact and expressive
 R code. 'yasp' (Yet Another String Package) is simple, fast,
 dependency-free, and written in pure R. The package provides: a coherent set
 of abbreviations for paste() from package 'base' with a variety of defaults,
 such as p() for "paste" and pcc() for "paste and collapse with commas";
 wrap(), bracket(), and others for wrapping a string in flanking characters;
 unwrap() for removing pairs of characters (at any position in a string); and
 sentence() for cleaning whitespace around punctuation and capitalization
 appropriate for prose sentences.

Package: r-cran-yatah
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 644
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-ape, r-cran-lifecycle, r-cran-purrr, r-cran-stringr
Suggests: r-cran-dplyr, r-cran-knitr, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yatah_1.0.0-1.ca2004.1_all.deb
Size: 563548
MD5sum: b22cadc01bd4fbe0e8e09436a4c54b1e
SHA1: 9926a247f80b97801525f047b2d61bb22a5bc4d6
SHA256: e1c363f718e795d2b17a5c24cd65c0debd553bde65627808884992863057cfbc
SHA512: 84db021ad98479e83d19d9e603652e5b2ad3e4477f14fd31285512a85bfc18de2f42bae533ea25aedb2f73613db01d6f3c742719aa4c020af4da1f37ed302204
Homepage: https://cran.r-project.org/package=yatah
Description: CRAN Package 'yatah' (Yet Another TAxonomy Handler)
 Provides functions to manage taxonomy when lineages are described with
 strings and ranks separated with special patterns like "|*__" or ";*__".

Package: r-cran-yatesalgo.factorialexp.sr
Architecture: all
Version: 4.0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 44
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-lubridate
Filename: pool/dists/focal/main/r-cran-yatesalgo.factorialexp.sr_4.0.4-1.ca2004.1_all.deb
Size: 12988
MD5sum: c959d3a4f31597594d6da2d02b219780
SHA1: 052348ace815ead3d7cafd09f0a78febc357f7c8
SHA256: 8b7f84459f679f839746cc6d7d51be363684162f9a1818d770fd2465fec51bf8
SHA512: 5e950bb7e1712f863b50c220b9e053b19dad124435e6b62849f9024ad71b5f2aa7824d9a0dc2c5c63addecee7b412e0b65789d5f78cb58739314978d6c84868f
Homepage: https://cran.r-project.org/package=YatesAlgo.FactorialExp.SR
Description: CRAN Package 'YatesAlgo.FactorialExp.SR' (Yates' Algorithm in 2^n Factorial Experiment)
 Determines the sum of squares of the (2^n)-1 factorial effects in a 2^n
 factorial experiment using Yates' algorithm.

Package: r-cran-yeab
Architecture: all
Version: 1.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 566
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cluster, r-cran-doparallel, r-cran-data.table, r-cran-dplyr, r-cran-fnn, r-cran-foreach, r-cran-ggplot2, r-cran-boot, r-cran-gridextra, r-cran-infotheo, r-cran-ks, r-cran-magrittr, r-cran-minpack.lm, r-cran-polychrome, r-cran-scales, r-cran-sfsmisc, r-cran-mass, r-cran-kernsmooth, r-cran-zoo, r-cran-usethis
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-yeab_1.0.6-1.ca2004.1_all.deb
Size: 186900
MD5sum: 9155dba1bfd0e6acb8167efd875b0298
SHA1: c420a1b896973f81037d0f2a3a08ff97367ce319
SHA256: c2c1e6ae9972a70eec60af32c6edb71bb8d5c7e13cda52ce7c2094b0b2b7d6be
SHA512: e39c5b5a901a92ca7e3d884baa17b4a5c3255f542b71974a66f0bd77c732aca8bc88242b2b7dadee67fde0eaa69c326cd309db554319f95e2a2a3623b865e462
Homepage: https://cran.r-project.org/package=YEAB
Description: CRAN Package 'YEAB' (Analyze Data from Analysis of Behavior Experiments)
 Analyze data from behavioral experiments conducted using 'MED-PC' software
 developed by Med Associates Inc.  Includes functions to fit exponential and
 hyperbolic models for delay discounting tasks, exponential mixtures for
 inter-response times, and Gaussian plus ramp models for peak procedure data,
 among others. For more details, refer to Alcala et al. (2023)
 <doi:10.31234/osf.io/8aq2j>.

Package: r-cran-yesno
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 53
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yesno_0.1.3-1.ca2004.1_all.deb
Size: 18932
MD5sum: 4a1fa39221088114f79969ac3b6458cf
SHA1: ec655d8db586619576eb0c5153b73bd9b81ea9de
SHA256: 92ecf8454720f56d0f5753728cd2f133ee9625c03a5663666f246c0a5df8d2a9
SHA512: 1ae4bd662e933a37b6a3059234f25f11d5ad9979a4d05117434c43616d02f08c763bf761bd6380e8f9cc491e7094bb6b378c5dd6e732368e088c3842de418f2e
Homepage: https://cran.r-project.org/package=yesno
Description: CRAN Package 'yesno' (Ask Yes-No Questions)
 Asks Yes-No questions with variable or custom responses.

Package: r-cran-yfinancer
Architecture: all
Version: 0.1.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 343
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-httr2, r-cran-jsonlite, r-cran-purrr, r-cran-dplyr, r-cran-lubridate, r-cran-rlang, r-cran-stringr, r-cran-tidyr, r-cran-glue
Suggests: r-cran-devtools, r-cran-mockery, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-yfinancer_0.1.3-1.ca2004.1_all.deb
Size: 304356
MD5sum: 30e8c46b8dc8247ac09456a0c14ea102
SHA1: 7ff22ca8038364552a3aa96e477e2dc83bd48f37
SHA256: d4d4c380d55f71808d8082e1eb588a16d34dad63cd245dbe29c9c2f990a15002
SHA512: c04aeeeb49cb14310ad3db6f902809c2b062fe3a6c33f58919812284f688c1cd1f6fd214b43be4ca997792910f4facc4cbd0853c39ec84ce398868d674c571ad
Homepage: https://cran.r-project.org/package=yfinancer
Description: CRAN Package 'yfinancer' ('Yahoo Finance' API Wrapper)
 Download financial market data, company information, financial statements,
 options data, and more from the unofficial 'Yahoo Finance' API.

Package: r-cran-yfr
Architecture: all
Version: 1.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 505
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-stringr, r-cran-tidyr, r-cran-lubridate, r-cran-furrr, r-cran-purrr, r-cran-future, r-cran-tibble, r-cran-zoo, r-cran-cli, r-cran-readr, r-cran-rvest, r-cran-dplyr, r-cran-quantmod, r-cran-magrittr, r-cran-pingr, r-cran-tidyselect, r-cran-glue, r-cran-httr, r-cran-jsonlite, r-cran-janitor
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-ggplot2, r-cran-covr, r-cran-spelling
Filename: pool/dists/focal/main/r-cran-yfr_1.1.2-1.ca2004.1_all.deb
Size: 266108
MD5sum: 3c87f2d9e9b059fc74c46328406e5100
SHA1: 4c6360c989f492b3358c8f228c893ec370f8f904
SHA256: 077a8125d943354f6945a337eba42df366d3f49bace88a60440393e781245bd6
SHA512: 14a6f114bee99ecb970fe3843988c59170f2e4810306b1ef8cb8f033d12161466acd29fe37d56133f3b71eb5b881bf2781bdfbec45be07ba0215a69d6082c4b0
Homepage: https://cran.r-project.org/package=yfR
Description: CRAN Package 'yfR' (Downloads and Organizes Financial Data from Yahoo Finance)
 Facilitates download of financial data from Yahoo Finance
 <https://finance.yahoo.com/>, a vast repository of stock price data across
 multiple financial exchanges. The package offers a local caching system and
 support for parallel computation.

Package: r-cran-yfscreen
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 91
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-curl, r-cran-jsonlite
Suggests: r-cran-covr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yfscreen_0.1.2-1.ca2004.1_all.deb
Size: 59568
MD5sum: c14fa17d67378c160e89da22de53aa93
SHA1: 92de4944e6d69cb17755917ee68b36a55c2d5f30
SHA256: cd99b0aa149cc8e78024952ed1a083388dd4ffbe952e363b2c2c203246be0df7
SHA512: 3e2a0de3f8e46a9878c0030872b8d24b569da067def58c93d8fe613ced03dd1d3fc5adbe0840264731b328c1401bb70b03575328f19139d82111e341f869dabf
Homepage: https://cran.r-project.org/package=yfscreen
Description: CRAN Package 'yfscreen' (Yahoo Finance 'screener' API)
 Simple and efficient access to Yahoo Finance's 'screener' API
 <https://finance.yahoo.com/research-hub/screener/> for querying and
 retrieval of financial data. The core functionality abstracts the
 complexities of interacting with Yahoo Finance APIs, such as session
 management, crumb and cookie handling, query construction, pagination, and
 JSON payload generation. This abstraction allows users to focus on filtering
 and retrieving data rather than managing API details. Use cases include
 screening across a range of security types including equities, mutual funds,
 ETFs, indices, and futures. The package supports advanced query
 capabilities, including logical operators, nested filters, and customizable
 payloads. It automatically handles pagination to ensure efficient retrieval
 of large datasets by fetching results in batches of up to 250 entries per
 request. Filters can be dynamically defined to accommodate a wide range of
 screening needs. The implementation leverages standard HTTP libraries to
 handle API interactions efficiently and provides support for both R and
 Python to ensure accessibility for a broad audience.

Package: r-cran-yhat
Architecture: all
Version: 2.0-4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 144
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-yacca, r-cran-misctools, r-cran-plotrix, r-cran-boot
Suggests: r-cran-mbess
Filename: pool/dists/focal/main/r-cran-yhat_2.0-4-1.ca2004.1_all.deb
Size: 117148
MD5sum: 0c8bc0d973e83c4fcee8321cca7c2e9b
SHA1: 4c4c7924dca54fb9fb3cd068290b5b80eebd07f0
SHA256: ab2969b6442b2bc8ebfdbb203e96b43b2600598aa4ae8913fd4883aba392da5e
SHA512: 5d4316d8ce226840fdb0456b82899d2230b9d37446d96e136f1ffa9576e67560b6c004f162288cd3a73815e85b8bce791c05f7cd2bd5bd7825f88be7b2d0bfa6
Homepage: https://cran.r-project.org/package=yhat
Description: CRAN Package 'yhat' (Interpreting Regression Effects)
 The purpose of this package is to provide methods to interpret multiple
 linear regression and canonical correlation results including beta
 weights,structure coefficients, validity coefficients, product measures,
 relative weights, all-possible-subsets regression, dominance analysis,
 commonality analysis, and adjusted effect sizes.

Package: r-cran-yhatr
Architecture: all
Version: 0.15.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 107
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-yhatr_0.15.1-1.ca2004.1_all.deb
Size: 70324
MD5sum: 72cf840ed5a21b5bd20cd7acc925299d
SHA1: ce0dee85c39babab61471794be89cd67cc0b4666
SHA256: f3a42db547d936710494456399d8f3d4d012c88fa09074a62dd4f968d85cce6e
SHA512: 034beba0a56206cd1f35382a925d9fd1b1d9b04a62f0c2cb38ee7343235c42588e744522118af6c221169834edda842b52d7a23beec1cbdb9334feb292d0995c
Homepage: https://cran.r-project.org/package=yhatr
Description: CRAN Package 'yhatr' (R Binder for the Yhat API)
 Deploy, maintain, and invoke models via the Yhat REST API.

Package: r-cran-yieldcurve
Architecture: all
Version: 5.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 125
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-xts
Filename: pool/dists/focal/main/r-cran-yieldcurve_5.1-1.ca2004.1_all.deb
Size: 93284
MD5sum: 66841f4accb00c3091c35764b0f02716
SHA1: db9e60d844462b8e80f64767ef5adcfeb4e35d8e
SHA256: 696fc82e0290bf8a50e2bdb14b3e5214f8880d6772fa5de34d4e5fd4a39b4b36
SHA512: e650a329fde5028dec0620fcb0dac1465b819bfa3bc69f48c487fb0209f2b1f99fe844c2b51ed81dc8b00a630273c961cd0d270218a704a35fce902888cc236f
Homepage: https://cran.r-project.org/package=YieldCurve
Description: CRAN Package 'YieldCurve' (Modelling and Estimation of the Yield Curve)
 Modelling the yield curve with some parametric models.  The models
 implemented are: Nelson, C.R., and A.F. Siegel (1987) <doi: 10.1086/296409>,
 Diebold, F.X. and Li, C. (2006) <doi: 10.1016/j.jeconom.2005.03.005> and
 Svensson, L.E. (1994) <doi: 10.3386/w4871>.  The package also includes the
 data of the term structure of interest rate of Federal Reserve Bank and
 European Central Bank.

Package: r-cran-ykmeans
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 60
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr, r-cran-foreach
Filename: pool/dists/focal/main/r-cran-ykmeans_1.0-1.ca2004.1_all.deb
Size: 25484
MD5sum: edf8e39c5951707c330d9cce892bc5bb
SHA1: 1ead320708eb6f99fd7719c3396bff519e4a8ad9
SHA256: 8a974accdc01c7030cf765d4e77624a6cba8a9f70518b117eeb2ac0c1c5af6b8
SHA512: 36d8caca32e62f650ac156ea8a2050fa769b06194a83a9a40fd01a35337a4971b2f78e6f1248eb0dd7a4e0638654f5512cbce4e8d99eddcd0231f3f1b51f78a7
Homepage: https://cran.r-project.org/package=ykmeans
Description: CRAN Package 'ykmeans' (K-means using a target variable)
 The clustering by k-means of using the target variable.  To determine the
 number of clusters with the variance of the target variable in the cluster.

Package: r-cran-yll
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 48
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yll_1.0.0-1.ca2004.1_all.deb
Size: 16700
MD5sum: 12ccf2cc5a2d1e9e9dec899061c9ff95
SHA1: fdc8600734db8f75d2138e3cef5242ad56c017d3
SHA256: e6099c51779fc6bbe20382523fc1777e7c648706e65ed1fbe4bea8e8f1bd3797
SHA512: f5d6e595c5f399c590a130f364fcd0202d9a68cd4304d1fbc81b72aa0e3824f72da52cc2e80617ba8d4b5504f2b465cc861c98188bbf9ca9a85f9e94b0c33d2c
Homepage: https://cran.r-project.org/package=yll
Description: CRAN Package 'yll' (Compute Expected Years of Life Lost (YLL) and Average YLL)
 Compute the standard expected years of life lost (YLL), as developed by the
 Global Burden of Disease Study (Murray, C.J., Lopez, A.D. and World Health
 Organization, 1996).  The YLL is based on comparing the age of death to an
 external standard life expectancy curve. It also computes the average YLL,
 which highlights premature causes of death and brings attention to
 preventable deaths (Aragon et al., 2008).

Package: r-cran-ymisc
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 112
Depends: r-base-core (>= 4.3.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ymisc_0.1.0-1.ca2004.1_all.deb
Size: 51672
MD5sum: c8b741086d8b4d01ef6767d085bebc0a
SHA1: b435fd7567dae755ad69b09ca4d21c8bd4174ab9
SHA256: 371b0046c42b0b6c4b6a72a4d1dc707e5c74b4641782854e0bf921f2ed3edfe6
SHA512: 5f1339368025327ca758f498b00cd70be20e020913b441303409505657d4f7453e5e0ddb5d67e1b71d3f90c3ad5fa3b17cf4c5c2b52cc5f70506e2e7163821ad
Homepage: https://cran.r-project.org/package=Ymisc
Description: CRAN Package 'Ymisc' (Miscellaneous Functions)
 The Author's personal R Package that contains miscellaneous functions.  The
 current version of package contains miscellaneous functions for brain data
 to compute Asymmetry Index (AI) and bilateral (L+R) measures and reshape the
 data.

Package: r-cran-ymlthis
Architecture: all
Version: 0.1.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 943
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-crayon, r-cran-fs, r-cran-glue, r-cran-magrittr, r-cran-purrr, r-cran-rlang, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-stringr, r-cran-usethis, r-cran-whoami, r-cran-withr, r-cran-yaml
Suggests: r-cran-blogdown, r-cran-bookdown, r-cran-covr, r-cran-knitr, r-cran-miniui, r-cran-pkgdown, r-cran-prettydoc, r-cran-roxygen2, r-cran-shiny, r-cran-shinybs, r-cran-spelling, r-cran-testthat, r-cran-xaringan
Filename: pool/dists/focal/main/r-cran-ymlthis_0.1.7-1.ca2004.1_all.deb
Size: 442780
MD5sum: 7022911d8aa25495c257f7f8b4a6d075
SHA1: aa19fca4b86a573e69172e849fe00860a75dc904
SHA256: dae22684c040103cb0a26b44b0fd528b8db851a657e49e7d90be5edeaccd4bd9
SHA512: 2637884a6fdbc7e9fa374e97f64ef1b0c428bcddc34af5265bdcf65daed6ce187efc6ab41382bd9488b833332db989491ad797f22372bf2f1deb90824b9af497
Homepage: https://cran.r-project.org/package=ymlthis
Description: CRAN Package 'ymlthis' (Write 'YAML' for 'R Markdown', 'bookdown', 'blogdown', and More)
 Write 'YAML' front matter for R Markdown and related documents. Work with
 'YAML' objects more naturally and write the resulting 'YAML' to your
 clipboard or to 'YAML' files related to your project.

Package: r-cran-ympes
Architecture: all
Version: 1.9.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 287
Depends: r-base-core (>= 4.4.0), r-api-4.0
Suggests: r-cran-tinytest, r-cran-litedown, r-cran-clipr
Filename: pool/dists/focal/main/r-cran-ympes_1.9.0-1.ca2004.1_all.deb
Size: 174144
MD5sum: 4dffe8d35f1804f9076437ccee1290fc
SHA1: 2c3f2243485ace5297dd3e8b70a19edfe7923c65
SHA256: dd6b1567236fb32a2ad5640c75805ad595496d8640544d32dd29afc42dd56c43
SHA512: a548769b846952821d048d132c9f1d0019e9f93dfed43075390efe3befa1fbd5257f95da540305efc003c55d4e3f4af512befc7f3ea937144996afd0027e2182
Homepage: https://cran.r-project.org/package=ympes
Description: CRAN Package 'ympes' (Collection of Helper Functions)
 Provides a collection of lightweight helper functions (imps) both for
 interactive use and for inclusion within other packages. These include
 functions for minimal input assertions, visualising colour palettes, quoting
 user input, searching rows of a data frame and capturing string tokens.

Package: r-cran-yodel
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 63
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-purrr, r-cran-rlang
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yodel_1.0.0-1.ca2004.1_all.deb
Size: 30216
MD5sum: c518e04a953aa64d22e267e370ebd660
SHA1: 6814da931d83a822cdbdf7614d93e19d8bcd04bd
SHA256: 9d35c043f960c8d840e67a10c4ebae3254423cd1eea6784525e2ec972d9d75df
SHA512: 50a97b5a2cda57dadd86e6e10cc7ee75cc35cd586be8e7dacf2d0a30e5e64597e98a3f67d3cd29f871b4906307dc935bfebd126326a51a65ed71e46b86ba8b8e
Homepage: https://cran.r-project.org/package=yodel
Description: CRAN Package 'yodel' (A General Bayesian Model Averaging Helper)
 Provides helper functions to perform Bayesian model averaging using Markov
 chain Monte Carlo samples from separate models. Calculates weights and
 obtains draws from the model-averaged posterior for quantities of interest
 specified by the user. Weight calculations can be done using marginal
 likelihoods or log-predictive likelihoods as in Ando, T., & Tsay, R. (2010)
 <doi:10.1016/j.ijforecast.2009.08.001>.

Package: r-cran-yonder
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1232
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny, r-cran-htmltools, r-cran-magrittr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yonder_0.2.0-1.ca2004.1_all.deb
Size: 600936
MD5sum: 0f00fd197144a6efe8a5aff4d9e70dda
SHA1: b2e688f650c1cf406c7c8d421dcae5bb8101d577
SHA256: 4683a60c80a39fcaddd95ec08a3f6bc29b2fdbabac7a67155710c44bc591869e
SHA512: c6ce98ecc43b54b1ac6b37901b4a608481d0317cc1c082afad1c5041de7ccfd1ef9f546ad14dd033d9d8f312441614a6708ff1838157ed62e47a4143b2264f9f
Homepage: https://cran.r-project.org/package=yonder
Description: CRAN Package 'yonder' (A Reactive Web Framework Built on 'shiny')
 Build 'shiny' applications with the latest Bootstrap components and design
 utilities. Includes refreshed reactive inputs and outputs.  Use responsive
 layouts to design and construct applications for devices of all sizes.

Package: r-cran-yorkr
Architecture: all
Version: 0.0.42-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 962
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-ggplot2, r-cran-reshape2, r-cran-yaml, r-cran-gridextra, r-cran-rpart.plot
Filename: pool/dists/focal/main/r-cran-yorkr_0.0.42-1.ca2004.1_all.deb
Size: 848868
MD5sum: 68b9786579d8df965ff17b7292a8b0e4
SHA1: fba1f05f49558cfb65089cb44615725c49dc5d29
SHA256: 6253674ec541d1da61bd89897a89025db4f5da133c351ffe8b3169c9af0c015d
SHA512: 9c3884c7dd0618035be790bfa0b68185f0fadbca3cbc8afa373a1dedf801bbca2f5e58ee913a98dda154d4293fc1260c8a2f130df4e0544dde9d0c7688097df9
Homepage: https://cran.r-project.org/package=yorkr
Description: CRAN Package 'yorkr' (Analyze Cricket Performances Based on Data from Cricsheet)
 Analyzing performances of cricketers and cricket teams based on 'yaml' match
 data from Cricsheet <https://cricsheet.org/>.

Package: r-cran-youngswimmers
Architecture: all
Version: 0.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 433
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-lifecycle
Filename: pool/dists/focal/main/r-cran-youngswimmers_0.0.1-1.ca2004.1_all.deb
Size: 365220
MD5sum: 422e36c255c2b6f13acdd003c769cb6c
SHA1: 7ee91ce129fc9985c9317cd7d483902bb5d97012
SHA256: 2e06b15b31ba8afdd98f947e9a27dd5731676a92d788c207f892f29ac5e3e5c5
SHA512: 3bb973ce1c0fdb9397b470ceb629a9229f68fdb7a6aedb83f65aaf7de6e9fd8f08a85e6066cc04a5a42fa5eb25f72e0b8047dcfb62b9349478d3c352d22d56b5
Homepage: https://cran.r-project.org/package=youngSwimmers
Description: CRAN Package 'youngSwimmers' (Young Swimmers Dataset)
 Dataset from the young elite swimmers study.

Package: r-cran-youtubecaption
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 87
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-writexl, r-cran-reticulate, r-cran-purrr, r-cran-magrittr, r-cran-tibble, r-cran-dplyr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-covr
Filename: pool/dists/focal/main/r-cran-youtubecaption_1.0.0-1.ca2004.1_all.deb
Size: 27588
MD5sum: 6819b1a917939b09b5d3eaaecf252e16
SHA1: d7eb6be7560da6fd5ebdcf1b348c36d78290fb97
SHA256: 3ea8ed22d9100502115172b99df471a8c871f4fe6b85ef0fbc4ec5cfa26e50d3
SHA512: 23b0355161af707cace8c28b6cb6a8b5900feaa932a83ffe0a6189f069a66c7f54e581afad3d677d3ff3d18026390f9f3e86d4000d9d8ebe306853862b378db2
Homepage: https://cran.r-project.org/package=youtubecaption
Description: CRAN Package 'youtubecaption' (Downloading YouTube Subtitle Transcription in a Tidy Tibble DataFrame)
 Although there exist some R packages tailored for YouTube API (e.g.,
 'tuber'), downloading YouTube video subtitle (i.e., caption) in a tidy form
 has never been a low-hanging fruit. Using 'youtube-transcript-api Python
 package' under the hood, this R package provides users with a convenient way
 of parsing and converting a desired YouTube caption into a handy 'tibble'
 data_frame object. Furthermore, users can easily save a desired YouTube
 caption data as a tidy Excel file without advanced programming background
 knowledge.

Package: r-cran-yowie
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1407
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-tsibble
Suggests: r-cran-ggplot2, r-cran-knitr, r-cran-markdown, r-cran-rmarkdown, r-cran-dplyr, r-cran-tidyr, r-cran-forcats, r-cran-janitor, r-cran-kableextra
Filename: pool/dists/focal/main/r-cran-yowie_0.1.0-1.ca2004.1_all.deb
Size: 1009968
MD5sum: d112cfe7a5e051fa3cae9c757b2f2289
SHA1: 18135f369b4f866d2c2f959d28c71727ab5fe292
SHA256: c60f9681c90be56eebce119879c5f27a2a50f1e264694874fae0c69af5e94f2d
SHA512: d6f4800e195eb0d92dba73e5e1c55dec8ce8cbee493ee28753147308bc3453417b8d59592d7aab2a335bd454d2efe603444fd151e1223ce021235d1aa0fb56a3
Homepage: https://cran.r-project.org/package=yowie
Description: CRAN Package 'yowie' (Longitudinal Wages Data from the National Longitudinal Survey ofYouth 1979)
 Longitudinal wages data sets and several demographic variables from the
 National Longitudinal Survey of Youth from 1979 to 2018. There are three
 data sets in this package: The wages data from the cohort whose highest
 grade completed is up to high school; The wages data of the high school
 dropouts and; The demographic data of the cohort in the survey year 1979.

Package: r-cran-ypmodel
Architecture: all
Version: 1.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 416
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-ypmodel_1.4-1.ca2004.1_all.deb
Size: 380112
MD5sum: 23fa0f1b56e5d363236ea99608406c56
SHA1: 44d7617b4cdfae712c9db873fb198d498e3fe97d
SHA256: 0c5773bf5494564628fad2dc7734b5b9ae600dae01216782f76cda73fb305117
SHA512: 4f69bf6b5cfbdce88bb24d05fe50aa52aae8b970974c30c8994953ea694a3abdfe9f910ae2a7f449a70ca16ab81b62af36342e27cbe5d5609573f94ac8a6f9b2
Homepage: https://cran.r-project.org/package=YPmodel
Description: CRAN Package 'YPmodel' (The Short-Term and Long-Term Hazard Ratio Model for SurvivalData)
 Inference procedures accommodate a flexible range of hazard ratio patterns
 with a two-sample semi-parametric model. This model contains the
 proportional hazards model and the proportional odds model as sub-models,
 and accommodates non-proportional hazards situations to the extreme of
 having crossing hazards and crossing survivor functions. Overall, this
 package has four major functions: 1) the parameter estimation, namely
 short-term and long-term hazard ratio parameters; 2) 95 percent and 90
 percent point-wise confidence intervals and simultaneous confidence bands
 for the hazard ratio function; 3) p-value of the adaptive weighted log-rank
 test; 4) p-values of two lack-of-fit tests for the model. See the included
 "read_me_first.pdf" for brief instructions. In this version (1.1), there is
 no need to sort the data before applying this package.

Package: r-cran-ypmodelphreg
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 117
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-survival
Filename: pool/dists/focal/main/r-cran-ypmodelphreg_1.0.0-1.ca2004.1_all.deb
Size: 84268
MD5sum: 1a214aa224b4e05c16d84414ba914e95
SHA1: b7c0f5f5760f756bbc07d366faedfa4af16cabd4
SHA256: 84e23ba3297d7aac2654a21fe3486178183a2427012b6fa7f2453cb3dcc8b576
SHA512: cb2022eb34e5724aecbf33c1e831a0e7ec6d605d86989756bd47f70d55c070c97fe4d1ea2c3ab7ca157fa29555907e46945b6671f9623ac799b3d24edd06dd55
Homepage: https://cran.r-project.org/package=YPmodelPhreg
Description: CRAN Package 'YPmodelPhreg' (The Short-Term and Long-Term Hazard Ratio Model withProportional Adjustment)
 Provides covariate-adjusted comparison of two groups of right censored data,
 where the binary group variable has separate short-term and long-term
 effects on the hazard function, while effects of covariates such as age,
 blood pressure, etc. are proportional on the hazard. The model was studied
 in Yang and Prentice (2015) <doi:10.1002/sim.6453> and it extends the two
 sample version of the short-term and long-term hazard ratio model proposed
 in Yang and Prentice (2005) <doi:10.1093/biomet/92.1.1>. The model extends
 the usual Cox proportional hazards model to allow more flexible hazard ratio
 patterns, such as gradual onset of effect, diminishing effect, and crossing
 hazard or survival functions. This package provides the following: 1) point
 estimates and confidence intervals for model parameters; 2) point estimate
 and confidence interval of the average hazard ratio; and 3) plots of
 estimated hazard ratio function with point-wise and simultaneous confidence
 bands.

Package: r-cran-ypr
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1209
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-chk, r-cran-ggplot2, r-cran-lifecycle, r-cran-purrr, r-cran-tibble, r-cran-tidyplus, r-cran-yesno
Suggests: r-cran-covr, r-cran-knitr, r-cran-readr, r-cran-rmarkdown, r-cran-rstudioapi, r-cran-scales, r-cran-testthat, r-cran-tidyr, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-ypr_0.6.0-1.ca2004.1_all.deb
Size: 835284
MD5sum: ee801d7792184c556204d99a29688b70
SHA1: 69a846bfeb97c10e1830637a15f5692c612ca103
SHA256: 9af570fe34ebe2a116bf8b4c43f54e98f354ebe008937aa96b33377441a74323
SHA512: ff1b365b7cb80ce86b3546e440f1bb2877a533be320bc206a648eb194cddfa395bdee991f961eda459ea57cc730e12d18c85420282f9bc5fe60583a372dd9802
Homepage: https://cran.r-project.org/package=ypr
Description: CRAN Package 'ypr' (Yield Per Recruit)
 An implementation of equilibrium-based yield per recruit methods.  Yield per
 recruit methods can used to estimate the optimal yield for a fish population
 as described by Walters and Martell (2004) <isbn:0-691-11544-3>.  The yield
 can be based on the number of fish caught (or harvested) or biomass caught
 for all fish or just large (trophy) individuals.

Package: r-cran-ypssc
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1365
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-spelling, r-cran-dplyr, r-cran-readxl, r-cran-stringr, r-cran-eulerr, r-cran-peptides, r-cran-svdialogs
Suggests: r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ypssc_1.1.0-1.ca2004.1_all.deb
Size: 1359444
MD5sum: 749c823b4ee08d696b4a08d57105b71f
SHA1: 5b9934444e7f5ddcdaff7501867b32a8d38aad31
SHA256: 7fb9a304fab2d14a1e8b3728a88c35f7bf5f15ccf2950eb0f4a8e26bcfaa1e2c
SHA512: 9d1232ef574b603e62907f3dd124f171f7a4981750151b0275966235a76544551f7da3576c3707f9b42cba01e27ab82f95db72243688cba97cdd17757ee6aa50
Homepage: https://cran.r-project.org/package=ypssc
Description: CRAN Package 'ypssc' (Yeast-Proteome Secondary-Structure Calculator)
 An extension for 'NetSurfP-2.0' (Klausen et al. (2019)
 <doi:10.1002/prot.25674>) which is specifically designed to analyze the
 results of bottom-up-proteomics that is primarily analyzed with 'MaxQuant'
 (Cox, J., Mann, M. (2008) <doi:10.1038/nbt.1511>).  This tool is designed to
 process a large number of yeast peptides that produced as a results of whole
 yeast cell-proteome digestion and provide a coherent picture of secondary
 structure of proteins.

Package: r-cran-yrmisc
Architecture: all
Version: 0.1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-gridextra
Filename: pool/dists/focal/main/r-cran-yrmisc_0.1.6-1.ca2004.1_all.deb
Size: 174492
MD5sum: 41acf3b77fb902265ad4b094937afd5c
SHA1: 6b2be3a9297326024105c21ba7a04279e4d82dca
SHA256: ec8334389a2988c8ed15de926e4ee64f96d010444cd68ce6b656e63fc290deac
SHA512: c61445ef7dff1f0f9bd1e7f8555c9df199a12db394c29670322ec8ffaa9c4b56b8e84fd98915a91eb721f2a7a3f0db601f6562cfd6ba21d2a7f95cba31777d39
Homepage: https://cran.r-project.org/package=YRmisc
Description: CRAN Package 'YRmisc' (Y&R Miscellaneous R Functions)
 Miscellaneous functions for data analysis, portfolio management, graphics,
 data manipulation, statistical investigation, including descriptive
 statistics, creating leading and lagging variables, portfolio return
 analysis, time series difference and percentage change calculation, stacking
 data for higher efficient analysis.

Package: r-cran-ytanalytics
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 165
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-progress
Filename: pool/dists/focal/main/r-cran-ytanalytics_0.2.1-1.ca2004.1_all.deb
Size: 125720
MD5sum: 7520a3137ad651c793c2a5043bf10806
SHA1: 946ae368201445cbb9f0de83abfa1b2963fb7c45
SHA256: 990a187106e536ec2e65490d374e2e6984af83edc7483142d6277bbf5c3f8148
SHA512: adfc276cbb986df9982a16ac1ebd050bf54d32a94e7a2d50e34e5e50e209004f3b63e819f2a84b254b278380b736bff69b8a43f3488def66eecdecb11e8c09f4
Homepage: https://cran.r-project.org/package=YTAnalytics
Description: CRAN Package 'YTAnalytics' (Wrapper for 'YouTube Analytics' API)
 Simplify working with the 'YouTube Analytics' API
 <https://developers.google.com/youtube/analytics>. Collect data for your
 channel including geography, traffic sources, time period, etc.

Package: r-cran-yuimagui
Architecture: all
Version: 1.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 867
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-dt, r-cran-shinyjs, r-cran-shiny, r-cran-shinydashboard, r-cran-shinybs, r-cran-yuima, r-cran-quantmod, r-cran-sde, r-cran-ggplot2, r-cran-plotly, r-cran-ghyp
Filename: pool/dists/focal/main/r-cran-yuimagui_1.3.1-1.ca2004.1_all.deb
Size: 213392
MD5sum: 65c6e0cb2ac160aa2f3eb69874b386de
SHA1: 463a9b81bc5e453e77794f026a3c18918758c2fc
SHA256: ce59ef81e957616acac6c02158f2376673428ec11c47ac9903c15089ecbf4773
SHA512: 57657fafc2739319e7c63a8324a5c33cb5d9bf66f5fe7b08a63cd5ddb94109f73de1edd07acdb581905091271a26911e61a797c312c45ea77149194739a107db
Homepage: https://cran.r-project.org/package=yuimaGUI
Description: CRAN Package 'yuimaGUI' (A Graphical User Interface for the 'yuima' Package)
 Provides a graphical user interface for the 'yuima' package.

Package: r-cran-yulab.utils
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 153
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-digest, r-cran-fs, r-cran-rlang
Suggests: r-cran-httr2, r-cran-jsonlite, r-cran-openssl, r-cran-rappdirs
Filename: pool/dists/focal/main/r-cran-yulab.utils_0.2.0-1.ca2004.1_all.deb
Size: 117284
MD5sum: 0815b004876e9f7bf9e08f80365a44fa
SHA1: bace2c3670f1c6432264fb26efaf49a07e1e7054
SHA256: e8c2ef2dd4a4c48ab8273e59948a32c5178b06707594bf60f99504649900ca71
SHA512: 56389afb244cb0cd1ec0423283915222e48e6a57a4ac1c48713d6782b693ec7dbe0d85fc9e5202dcb0e404c93c7f6615903b90a455889a131ee58d4f6aed204a
Homepage: https://cran.r-project.org/package=yulab.utils
Description: CRAN Package 'yulab.utils' (Supporting Functions for Packages Maintained by 'YuLab-SMU')
 Miscellaneous functions commonly used by 'YuLab-SMU'.

Package: r-cran-yum
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 616
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-yaml
Suggests: r-cran-covr, r-cran-data.tree, r-cran-here, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-yum_0.1.0-1.ca2004.1_all.deb
Size: 558268
MD5sum: c1ab7c3af52e0465e08dda476fa65f32
SHA1: 18627874a158f12b3e0a060b730f9d50648da368
SHA256: 8d4a8ceb6b6cad2777f4aa4122d59580d79ed0ad43e304110142532715dc706f
SHA512: 2a518f57c2820a5b64785d4091e9996500de466b0ecdb09fd8f64ece648a0e4c0b2d2fc6786d916eb9eb025413594999ef98a8434ab7ba20dcfd97e11a9070ba
Homepage: https://cran.r-project.org/package=yum
Description: CRAN Package 'yum' (Utilities to Extract and Process 'YAML' Fragments)
 Provides a number of functions to facilitate extracting information in
 'YAML' fragments from one or multiple files, optionally structuring the
 information in a 'data.tree'. 'YAML' (recursive acronym for "YAML ain't
 Markup Language") is a convention for specifying structured data in a format
 that is both machine- and human-readable.  'YAML' therefore lends itself
 well for embedding (meta)data in plain text files, such as Markdown files.
 This principle is implemented in 'yum' with minimal dependencies (i.e. only
 the 'yaml' packages, and the 'data.tree' package can be used to enable
 additional functionality).

Package: r-cran-z10
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 99
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rjson, r-cran-stringr, r-cran-magrittr, r-cran-lubridate, r-cran-dplyr
Suggests: r-cran-metscanr, r-cran-rnoaa, r-cran-neonutilities
Filename: pool/dists/focal/main/r-cran-z10_0.1.0-1.ca2004.1_all.deb
Size: 68988
MD5sum: cf087be3964e506ae95a5297ed3bde52
SHA1: abf692f59ad1e97122a523bd7053b63ae7592c2c
SHA256: a30c426381405ff0cf43104d75038bbb98f0ac704be7b186c161a90c1bf55c85
SHA512: b36e53f7e02493ddc678795158fe0d6bcf7053bf6d533e86eee42aac6d55d4ceaec0cbbdb1858334341cce56e65c09ea3d1ed7c72c6c7b844de807453f690c0c
Homepage: https://cran.r-project.org/package=Z10
Description: CRAN Package 'Z10' (Simple Ecological Statistics from the NEON Network)
 Provides simple statistics from instruments and observations at sites in the
 NEON network, and acts as a simple interface for v0 of the National
 Ecological Observatory Network (NEON) API.  Statistics are generated for
 meteorologic and soil-based observations, and are presented for daily,
 annual, and one-time observations at all available NEON sites.  Users can
 also retrieve any dataset publicly hosted by NEON. Metadata for NEON sites
 and data products can be returned, as well as information on data product
 availability by site and date.  For more information on NEON, please visit
 <https://www.neonscience.org>. For detailed data product information, please
 see the NEON data product catalog at
 <https://data.neonscience.org/data-product-catalog>.

Package: r-cran-z22
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1177
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-cli, r-cran-httr2, r-cran-dplyr, r-cran-arrow
Suggests: r-cran-terra, r-cran-sf, r-cran-ggplot2, r-cran-sinew, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-z22_1.0.0-1.ca2004.1_all.deb
Size: 806140
MD5sum: d48a2a01cd4a5e02a3672bc753ce6828
SHA1: 38c5824fc5d0427967a77f84c2dcdb5da76042ba
SHA256: 6e4e143bdec6aa855f078d67dfbe6ac860ed402eee9166406d9148c7c92167e4
SHA512: 3284fdaf9f8a6dd5ddd7daba7cf15fd78ef7e7d39c686bfa9bf0465e900614e58b3a1ea461d1262dbd65ae7c14c15bd4efca1b1dd000cb8ea4134a8c1788a08a
Homepage: https://cran.r-project.org/package=z22
Description: CRAN Package 'z22' (Official Gridded Data from the German Census 2022)
 Provides fast and easy access to German census grid data from the 2011 and
 2022 censuses <https://www.zensus2022.de/>, including a wide range of
 socio-economic indicators at multiple spatial resolutions (100m, 1km, 10km).
 Enables efficient download, processing, and analysis of large census
 datasets covering population, households, families, dwellings, and
 buildings. Harmonized data structures allow direct comparison with the 2011
 census, supporting temporal and spatial analyses.  Facilitates conversion of
 data into common formats for spatial analysis and mapping ('terra', 'sf',
 'ggplot2').

Package: r-cran-zalpha
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 441
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-fitdistrplus
Filename: pool/dists/focal/main/r-cran-zalpha_0.3.0-1.ca2004.1_all.deb
Size: 317000
MD5sum: e378cca9d601509e6a0dcdba27fcefcc
SHA1: 1e82fa6731f616776736a956c483d6bea4fbcaf3
SHA256: e8c27292a1c5c3db7b1e061df428fb9728f9d483cc3c05eee914dd313bd1f159
SHA512: 9112683110a805d6531aa97d47f452be414f4f067ac931c8594a702271c3bc9d49a8c4a5806509898202359703df62c65313d636366d0698a6a8b66bbe474913
Homepage: https://cran.r-project.org/package=zalpha
Description: CRAN Package 'zalpha' (Run a Suite of Selection Statistics)
 A suite of statistics for identifying areas of the genome under selective
 pressure. See Jacobs, Sluckin and Kivisild (2016)
 <doi:10.1534/genetics.115.185900>.

Package: r-cran-zbank
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 64
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-crul, r-cran-jsonlite, r-cran-tibble
Suggests: r-cran-testthat, r-cran-vcr
Filename: pool/dists/focal/main/r-cran-zbank_0.1.0-1.ca2004.1_all.deb
Size: 31316
MD5sum: 7bdedd9d35b6bbd88ee07f6dbde408c8
SHA1: cbc105e2a05f31b31989bb83b83dd3d82d31efcd
SHA256: 6a5042e1515d930a84cfafa6c447417020ed0c112fe275c3d55984287977d238
SHA512: 0e71cc3f45a104a2965504e66b263d3297ee730f4dabc934a85225d8ba20c21df0b64e037718b1c50b2cb0e330e896f59f6c3e1c8544c67afb6ecc26fe8c861b
Homepage: https://cran.r-project.org/package=zbank
Description: CRAN Package 'zbank' ('ZooBank' API Client)
 Interface to the 'ZooBank' API (<http://zoobank.org/Api>) client.  'ZooBank'
 (<http://zoobank.org/>) is the official registry of zoological nomenclature.
 Methods are provided for using each of the API endpoints, including for
 querying by author, querying for publications, get statistics on 'ZooBank'
 activity, and more.

Package: r-cran-zcompositions
Architecture: all
Version: 1.5.0-5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 319
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-mass, r-cran-truncnorm, r-cran-survival
Filename: pool/dists/focal/main/r-cran-zcompositions_1.5.0-5-1.ca2004.1_all.deb
Size: 283752
MD5sum: 833f9ddef874dadadc122d8aa9f4aa8a
SHA1: 77e6a74597e1b8cebadc274c1ac33e64a9640a50
SHA256: 7e4fd814a1d4cfa261fa53656f48f9486461918f8d44222dd2350761eaca0ddb
SHA512: 05fd0e0fe833e94c97df3b5fc44692b5cad87f5f12bb325b29a381c00c6714dfd7650178f52c32e22fe5be5dfb6bc16181e61ed99de19405a19f3e3dde278323
Homepage: https://cran.r-project.org/package=zCompositions
Description: CRAN Package 'zCompositions' (Treatment of Zeros, Left-Censored and Missing Values inCompositional Data Sets)
 Principled methods for the imputation of zeros, left-censored and missing
 data in compositional data sets (Palarea-Albaladejo and Martin-Fernandez
 (2015) <doi:10.1016/j.chemolab.2015.02.019>).

Package: r-cran-zctacrosswalk
Architecture: all
Version: 2.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 474
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-readr, r-cran-dplyr, r-cran-rlang, r-cran-stringr
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tidycensus, r-cran-mapview
Filename: pool/dists/focal/main/r-cran-zctacrosswalk_2.0.0-1.ca2004.1_all.deb
Size: 356364
MD5sum: 734f9791abd7ea97961ade861976befd
SHA1: 4034b7bf7d316284e64cccabcdcc0ee32f4ce926
SHA256: 22acc1671aadece768a420f2e1f6105fca706f618c45723bb71e77084ed82ca4
SHA512: 78ade5e2c466f88d17a48a7b76a13ac8b965836a1130a2c3ea66022aa001a39ba6b9d41ae35c1e79b6e4ffa6832761f6abea555d6cef1f028730a0599a56fda9
Homepage: https://cran.r-project.org/package=zctaCrosswalk
Description: CRAN Package 'zctaCrosswalk' (Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCTAs),States and Counties)
 Contains the US Census Bureau's 2020 ZCTA to County Relationship File, as
 well as convenience functions to translate between States, Counties and ZIP
 Code Tabulation Areas (ZCTAs).

Package: r-cran-zdeskr
Architecture: all
Version: 0.5.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 77
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-jsonlite, r-cran-purrr, r-cran-httr, r-cran-tidyr, r-cran-plyr, r-cran-tidyselect
Filename: pool/dists/focal/main/r-cran-zdeskr_0.5.0-1.ca2004.1_all.deb
Size: 48400
MD5sum: 14aa3078f483902a0cbae2b2b9bc3bc4
SHA1: 59c218f87b2d6c9d49ae0a6f96b0842d26062147
SHA256: 1cd70040fb589580909ee2706f468391f1d191e9624bb0740ed4221a84b8a6a1
SHA512: ecfa36f91e875ca2469fef74b968d762ae5e563549b1484198622095f5cb9fe03b11100c3078ffd7a32ead6370e55b95588c4f3751c6872ca240fe103865ae91
Homepage: https://cran.r-project.org/package=zdeskR
Description: CRAN Package 'zdeskR' (Connect to Your 'Zendesk' Data)
 Facilitates making a connection to the 'Zendesk' API and executing various
 queries. You can use it to get ticket, ticket metrics, and user data. The
 'Zendesk' documentation is available at
 <https://developer.zendesk.com/rest_api /docs/support/introduction>. This
 package is not supported by 'Zendesk' (owner of the software).

Package: r-cran-zeallot
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 143
Depends: r-base-core (>= 4.5.0), r-api-4.0
Suggests: r-cran-codetools, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-zeallot_0.2.0-1.ca2004.1_all.deb
Size: 55844
MD5sum: c4360bfb4a1d5f1bb83fd6f6fba9f48e
SHA1: 918b090cfc4d8c94671020358858b02d38b5fe2c
SHA256: 9bccd5769d2aab5bc1e968a4a3c3d5ac1426bb7578ce9d26eab45c72583f9a12
SHA512: 32c5b618e59fda42dcea36c78c5d75285209676d80564846fac981618678a8cb4d89bb53cf88c4d1f38e3467924f9df85c58268464d71e2e3d50c889db2c9782
Homepage: https://cran.r-project.org/package=zeallot
Description: CRAN Package 'zeallot' (Multiple, Unpacking, and Destructuring Assignment)
 Provides a %<-% operator to perform multiple, unpacking, and destructuring
 assignment in R. The operator unpacks the right-hand side of an assignment
 into multiple values and assigns these values to variables on the left-hand
 side of the assignment.

Package: r-cran-zebook
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 4092
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-triangle, r-cran-desolve
Filename: pool/dists/focal/main/r-cran-zebook_1.1-1.ca2004.1_all.deb
Size: 3988640
MD5sum: 355426be2626cc10cfac39a643302138
SHA1: 40a15c6ebfdb66d8e274d85f842c79ba1e23a571
SHA256: 0659d01c7d6d9cb9231befdf464a6804a84f8f06734e0bbb1dec38e8819b248a
SHA512: a2d0c4990cd7f8dff6f74939db6cb4e824adf59bd32d95d0d2fde668fc32daa1d5233cc872227207d5859880fb7748a158bd6e6bc8bf67dfcb3f1e9630a07426
Homepage: https://cran.r-project.org/package=ZeBook
Description: CRAN Package 'ZeBook' (Working with Dynamic Models for Agriculture and Environment)
 R package accompanying the book Working with dynamic models for agriculture
 and environment, by Daniel Wallach (INRA), David Makowski (INRA), James W.
 Jones (U.of Florida), Francois Brun (ACTA). 3rd edition 2018-09-27.

Package: r-cran-zeitgebr
Architecture: all
Version: 0.3.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1203
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-behavr, r-cran-data.table, r-cran-lomb, r-cran-pracma, r-cran-waveletcomp
Suggests: r-cran-testthat, r-cran-covr, r-cran-knitr, r-cran-ggetho, r-cran-damr, r-cran-xsp
Filename: pool/dists/focal/main/r-cran-zeitgebr_0.3.6-1.ca2004.1_all.deb
Size: 748668
MD5sum: 378d51d43298c7978c3349a0c0a980c2
SHA1: dc70c89dfbae23137f23229a6ad28b3063f40203
SHA256: d15cc2a78334793bc16cd023b0fb8b4c75bb26413ec787573c25451a64c17c55
SHA512: 7913580be3dc428cace2130b9e2ec42d9dcc82222118f5d5850b3f0161ecd8febe425dbeda94b7dd203ca7bc31429c809ccbf141720ea551d34bf4abff0cd3fe
Homepage: https://cran.r-project.org/package=zeitgebr
Description: CRAN Package 'zeitgebr' (Analysis of Circadian Behaviours)
 Use behavioural variables to compute period, rhythmicity and other circadian
 parameters.  Methods include computation of chi square periodograms
 (Sokolove and Bushell (1978) <DOI:10.1016/0022-5193(78)90022-X>),
 Lomb-Scargle periodograms (Lomb (1976) <DOI:10.1007/BF00648343>, Scargle
 (1982) <DOI:10.1086/160554>, Ruf (1999) <DOI:10.1076/brhm.30.2.178.1422>),
 and autocorrelation-based periodograms.

Package: r-cran-zen4r
Architecture: all
Version: 0.10.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 621
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-r6, r-cran-cli, r-cran-httr, r-cran-jsonlite, r-cran-xml, r-cran-xml2, r-cran-keyring, r-cran-atom4r, r-cran-utf8, r-cran-plyr
Suggests: r-cran-testthat, r-cran-knitr, r-cran-markdown
Filename: pool/dists/focal/main/r-cran-zen4r_0.10.2-1.ca2004.1_all.deb
Size: 505684
MD5sum: 2ad7140fc81d8dfcdf15e3061f9538fc
SHA1: b879518fc623e73ad6b1b8463454acb4afae51e8
SHA256: 4afb16964a4d13ae74bab812018dc8da46472ee6a3edfc23a5c23054ce15e8e0
SHA512: 6976c013e0676c4bdfa5342e0373469d771a573760cc47542133e366056a1f95d87c2af0eb0e9f8e66fe69019f3ee926bb820117e54ebc7cb9567767e645f909
Homepage: https://cran.r-project.org/package=zen4R
Description: CRAN Package 'zen4R' (Interface to 'Zenodo' REST API)
 Provides an Interface to 'Zenodo' (<https://zenodo.org>) REST API, including
 management of depositions, attribution of DOIs by 'Zenodo' and upload and
 download of files.

Package: r-cran-zendeskr
Architecture: all
Version: 0.4-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rcurl, r-cran-rjson
Filename: pool/dists/focal/main/r-cran-zendeskr_0.4-1.ca2004.1_all.deb
Size: 38204
MD5sum: 0753a600db12520fc1c1c1c67bff0f15
SHA1: 60b8e7e6e1e1b9bfec04fd3de0dbafd0d8bf4557
SHA256: 16bbe89a0cba7ae1936588a7bebd9c00167094c4c8f85784a490d53959f0524a
SHA512: 3f1eb97d11984f6c90dfdf7fd7e63c04ea10b8b77090f87cb48ebf68c0432a41bb020ce0ecb1863b274b577e4f4ea1c5a00baeea90098f08dd62e36873fd7e75
Homepage: https://cran.r-project.org/package=zendeskR
Description: CRAN Package 'zendeskR' (Zendesk API Wrapper)
 This package provides an R wrapper for the Zendesk API

Package: r-cran-zendown
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 227
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-fs, r-cran-glue, r-cran-httr2, r-cran-rcurl, r-cran-tibble, r-cran-tidyr
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zendown_0.1.0-1.ca2004.1_all.deb
Size: 74212
MD5sum: c4f3326a1ede3cd431d4bdb691b19c9c
SHA1: ab902989efb66754bb2b2c5bcedb1d85bfc3a392
SHA256: cc0561e41c617bb8d9d87b9ca2d465234e8267c1b34d7780f8736bc359056f9e
SHA512: dea1a5a458ca8fdc43fdc252cc132b48e18a7a40f579f045f4f15217caf1bcce8ddff38f1b9364c1223fc690f82b962482c100d8939b2d0a707f80b36fc00605
Homepage: https://cran.r-project.org/package=zendown
Description: CRAN Package 'zendown' (Access Files from 'Zenodo' Deposits)
 Access, download and locally cache files deposited on 'Zenodo'
 <https://zenodo.org>.

Package: r-cran-zenstats
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 47
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-checkmate, r-cran-cli, r-cran-curl, r-cran-polite, r-cran-purrr, r-cran-rcurl, r-cran-readr, r-cran-rlang, r-cran-rvest, r-cran-tibble
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zenstats_0.1.2-1.ca2004.1_all.deb
Size: 14460
MD5sum: 708cf063c6d78275983213a091490d1e
SHA1: 4a9ec08e434e3c07a10dc6c176ecff444d6c1565
SHA256: d007b294eaf9270525d722fb10065b833c55a6571d989ab83ba0af7888be3fcd
SHA512: 747ce73cf557353c57a085d6f9665dfb99526919ef6215640a9dcb6c1992bb069564ac4e37311571a9c12a49f470e06d77cfe8a7ff29ef7cb12b31b6f5f9ec45
Homepage: https://cran.r-project.org/package=zenstats
Description: CRAN Package 'zenstats' (Statistics from 'Zenodo' Deposits)
 Fetch statistics about views, downloads and data volume from 'Zenodo'
 deposits. The package collects a 'Zenodo' (<https://zenodo.org>) deposit
 file information, respecting the website scrapping policies.

Package: r-cran-zep
Architecture: all
Version: 0.1.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 67
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-fuzzynumbers
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zep_0.1.5-1.ca2004.1_all.deb
Size: 36936
MD5sum: 0fbc57e44a69fa119a9e9b4e861744e3
SHA1: 1150f20395167262b8d84cb0ab3f0c0be559bd80
SHA256: 13d6828e22901be171d24f10f950832f645903ade08b697f5146e3d44d4feb25
SHA512: 32185e9949dc6decf0caf4717fa6fc7ff1df31c2f33008f5b94094d24306fc2edc3928cf8634df8385eadf2e11d3311c8f8659ef28d710916d6bf037602743f7
Homepage: https://cran.r-project.org/package=ZEP
Description: CRAN Package 'ZEP' (Procedures Related to the Zadeh's Extension Principle for FuzzyData)
 Procedures for calculation, plotting, and approximation of the outputs for
 fuzzy numbers (see A.I. Ban, L. Coroianu, P. Grzegorzewski "Fuzzy Numbers:
 Approximations, Ranking and Applications" (2015)) based on the Zadeh's
 Extension Principle (see de Barros, L.C., Bassanezi, R.C., Lodwick, W.A.
 (2017) <doi:10.1007/978-3-662-53324-6_2>).

Package: r-cran-zephyr
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 140
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-glue, r-cran-rlang
Suggests: r-cran-callr, r-cran-checkmate, r-cran-devtools, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat, r-cran-usethis, r-cran-withr
Filename: pool/dists/focal/main/r-cran-zephyr_0.1.2-1.ca2004.1_all.deb
Size: 108712
MD5sum: 1cf2ac2d0345c9378c2daa8cfa0132b0
SHA1: eae832c88d85e63be881657fd414058230ba6dc6
SHA256: 57a15059926ebebc96900bf9140e6b71d909372c2d8eba3b15428e3f13f0008e
SHA512: db83248c4b72732f1d9e254ed46b8c1f29b04b64ee2146e57b05150966d2d4c8201ad5bfca7c2e175eec9f966ea482d8c2838bee9af60cee0824474e3a68cd58
Homepage: https://cran.r-project.org/package=zephyr
Description: CRAN Package 'zephyr' (Structured Messages and Options)
 Provides a structured framework for consistent user communication and
 configuration management for package developers.

Package: r-cran-zeroeqpart
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ppcor, r-cran-mass
Filename: pool/dists/focal/main/r-cran-zeroeqpart_0.1.0-1.ca2004.1_all.deb
Size: 36368
MD5sum: e166327425bb4e5f198751c644405a87
SHA1: c270ba4dee5113093899033b72ad06361507972f
SHA256: 671c33819a5d18582d3dfc66214e87a4481f9c1a9ec079e6f8822ef7b48b1bdf
SHA512: ddcd83cf10d2ffd901c572243535c46ac4065985d6f7ae3ba368e7e7ccacdadc5865fdb86153f54968102b45ebc971bd09a68ebcc2bd034068cd1f6c6909bc37
Homepage: https://cran.r-project.org/package=zeroEQpart
Description: CRAN Package 'zeroEQpart' (Zero Order vs (Semi) Partial Correlation Test and CI)
 Uses bootstrap to test zero order correlation being equal to a partial or
 semi-partial correlation (one or two tailed). Confidence intervals for the
 parameter (zero order minus partial) can also be determined. Implements the
 bias-corrected and accelerated bootstrap method as described in "An
 Introduction to the Bootstrap" Efron (1983) <0-412-04231-2>.

Package: r-cran-zerotradeflow
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2488
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-magrittr, r-cran-tidyverse, r-cran-rlang, r-cran-dplyr, r-cran-tidyr, r-cran-purrr, r-cran-cli
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zerotradeflow_0.1.0-1.ca2004.1_all.deb
Size: 2512472
MD5sum: 52bd6f17dcd6cd4f8e6adfa1a2ec5bac
SHA1: 8ef63a164e96f162d9d23cdb0dad70cbd46b9bde
SHA256: c23545ca4c13c099c519897b98c79551cff03c684d91ea2b02d513d4bf1aa073
SHA512: f0b0ca7868be3ee7b0956f4c0d41c7c0617f5272ffd5d3a51742c4463dde5ca44d563432951669481af2ab1e6740216a39fd264347f90aab5a120788cfa66630
Homepage: https://cran.r-project.org/package=zerotradeflow
Description: CRAN Package 'zerotradeflow' (An Implementation for the Gravitational Models of Trade)
 A system for creating the bilateral trade flow between a country pair equal
 to zero. You provide the data, tell get_zerotradeflow() which variables are
 of interest and it expands the base by creating the bilateral zero trade
 flow. The bases on the flow of trade between countries only report positive
 trade (greater than zero), however, for some analyzes of gravitacional
 models, data on zero flow is also necessary. Some examples for Gravity
 Model: Figueiredo and Loures (2016) <doi:10.5935/0034-7140.20160015> and
 Yotov, Piermartini, Monteiro and Larch
 <https://vi.unctad.org/tpa/web/docs/vol2/book.pdf>.

Package: r-cran-zetadiv
Architecture: all
Version: 1.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 442
Depends: r-base-core (>= 4.5.0), r-api-4.0, r-cran-scam, r-cran-car, r-cran-mgcv, r-cran-vegan, r-cran-geodist, r-cran-nnls, r-cran-glm2
Filename: pool/dists/focal/main/r-cran-zetadiv_1.3.0-1.ca2004.1_all.deb
Size: 409756
MD5sum: b16494277e6f5203085776cf23d13aea
SHA1: a237fecbd5635e6b52019d03de0c3431b7cdbf4e
SHA256: a5af8f2415e28e0f4e66d869d3ca389944fa78824b22a27d3e9d344bc1583c48
SHA512: af2fdb97363318adaee7c7877eaa22790f1270ed1616028b8b380640af24acd9ebdba4b6d53ead9998fc501a0aa3b69b1b403527517043034face39bd68dc383
Homepage: https://cran.r-project.org/package=zetadiv
Description: CRAN Package 'zetadiv' (Functions to Compute Compositional Turnover Using Zeta Diversity)
 Functions to compute compositional turnover using zeta-diversity, the number
 of species shared by multiple assemblages. The package includes functions to
 compute zeta-diversity for a specific number of assemblages and to compute
 zeta-diversity for a range of numbers of assemblages. It also includes
 functions to explain how zeta-diversity varies with distance and with
 differences in environmental variables between assemblages, using
 generalised linear models, linear models with negative constraints,
 generalised additive models,shape constrained additive models, and
 I-splines.

Package: r-cran-zetasuite
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3807
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcolorbrewer, r-cran-rtsne, r-cran-dplyr, r-cran-e1071, r-cran-ggplot2, r-cran-reshape2, r-cran-gridextra, r-cran-mixtools
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-zetasuite_1.0.1-1.ca2004.1_all.deb
Size: 3807628
MD5sum: 40999559a0a85d78d23b2d8d5d81a3df
SHA1: 462218587e646d5a79a77900759d9d7edfa0cd31
SHA256: f1d4b5e27f81c9b337c2ae28c5b64016cbe7a10c59d64a798bbbe681863b27e4
SHA512: e2a1337a9777d3a023f4b5e7c45362f1f7ba76e3f7206a12c22ae5e029118c31819aff8cde8677bfefc5f94fe31f4932c028141ee80e2f97dcabac911d4e810b
Homepage: https://cran.r-project.org/package=ZetaSuite
Description: CRAN Package 'ZetaSuite' (Analyze High-Dimensional High-Throughput Dataset and QualityControl Single-Cell RNA-Seq)
 The advent of genomic technologies has enabled the generation of
 two-dimensional or even multi-dimensional high-throughput data, e.g.,
 monitoring multiple changes in gene expression in genome-wide siRNA screens
 across many different cell types (E Robert McDonald 3rd (2017) <doi:
 10.1016/j.cell.2017.07.005> and Tsherniak A (2017) <doi:
 10.1016/j.cell.2017.06.010>) or single cell transcriptomics under different
 experimental conditions. We found that simple computational methods based on
 a single statistical criterion is no longer adequate for analyzing such
 multi-dimensional data. We herein introduce 'ZetaSuite', a statistical
 package initially designed to score hits from two-dimensional RNAi
 screens.We also illustrate a unique utility of 'ZetaSuite' in analyzing
 single cell transcriptomics to differentiate rare cells from damaged ones
 (Vento-Tormo R (2018) <doi: 10.1038/s41586-018-0698-6>). In 'ZetaSuite', we
 have the following steps: QC of input datasets, normalization using
 Z-transformation, Zeta score calculation and hits selection based on defined
 Screen Strength.

Package: r-cran-zfit
Architecture: all
Version: 0.4.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 315
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-dplyr, r-cran-estimatr, r-cran-mass, r-cran-pls, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-zfit_0.4.0-1.ca2004.1_all.deb
Size: 284652
MD5sum: 3cb9b9f18b98164a7de838aee8b81b35
SHA1: 9dcb2b915b6ace4e37662092a852fb4c485e9b25
SHA256: a043e510dd79c7359ad2d3ebca6e7015873aeec143b63e8fcda41648aa40265d
SHA512: 0ce24ff2964bf782f8021f12c2c79770b83ef16e5b33993bbfb559588d8822dd7178e50233ec839f4283a9b125960c576371ca5eac35393931d40b2b68c2b2ee
Homepage: https://cran.r-project.org/package=zfit
Description: CRAN Package 'zfit' (Fit Models in a Pipe)
 Improve the usage of model fitting functions within a piped work flow.

Package: r-cran-zibbseqdiscovery
Architecture: all
Version: 1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 246
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mcc
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-zibbseqdiscovery_1.0-1.ca2004.1_all.deb
Size: 188664
MD5sum: 610932ba9e06cb8da89e5a274bd1f932
SHA1: 182df850d970a55a369937ece96bfc2bfed485e7
SHA256: 1cd738f55a3a5daeee618196475e0e586c4e20c16a09dc6e1908456941811929
SHA512: 50e09742b940054c94e639b92691e9f829d99622fb43c688478e65f12c05004b2ab2190c90074211a42b36a0a04da763e6cd4ba7e578e534536eadc0f465644f
Homepage: https://cran.r-project.org/package=ZIBBSeqDiscovery
Description: CRAN Package 'ZIBBSeqDiscovery' (Zero-Inflated Beta-Binomial Modeling of Microbiome Count Data)
 Microbiome count data (Operational Taxonomic Unit, OTUs) is usually
 overdispersed and has excessive zero counts. The 'ZIBBSeqDiscovery' assumes
 a zero-inflated beta-binomial model for the distribution of the count data,
 and employes link functions to adjust interested covariates. To fit the
 model, two approaches are proposed (i) a free approach which treats the
 overdispersion parameters for OTUs as independent, and (ii) a constrained
 approach which proposes a mean-overdispersion relationship to the count
 data. This package can be used to test the association between the
 composition of the microbiome counts and the interested covariates.

Package: r-cran-zibr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 577
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-statmod
Suggests: r-cran-betareg, r-cran-dplyr, r-cran-lme4, r-cran-nlme, r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zibr_1.0.2-1.ca2004.1_all.deb
Size: 362216
MD5sum: 3300380e5f1c8ad82a29cacb90109812
SHA1: d0ae6d946857f21a131772c906cc9c9a230c5589
SHA256: 9aaf5da3b910be9fe0a0744ecdcbf5fe559cfe930a6a1d25060aaedf4f773953
SHA512: 86b2be89413749e16e834322cab0ac28662627d7c08c67aaef289dd34342b58d38fe5a6810ae58b4430f1a93fb58e37f5684345df4b9c38a3c2ab3cdbaabe372
Homepage: https://cran.r-project.org/package=ZIBR
Description: CRAN Package 'ZIBR' (A Zero-Inflated Beta Random Effect Model)
 A two-part zero-inflated Beta regression model with random effects (ZIBR)
 for testing the association between microbial abundance and clinical
 covariates for longitudinal microbiome data. Eric Z. Chen and Hongzhe Li
 (2016) <doi:10.1093/bioinformatics/btw308>.

Package: r-cran-zibseq
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 97
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-gamlss, r-cran-nlme, r-cran-gamlss.dist
Filename: pool/dists/focal/main/r-cran-zibseq_1.2-1.ca2004.1_all.deb
Size: 66176
MD5sum: 2005e3cbb50c17b73d987c96d18cf0e9
SHA1: 27e61a1ab77f10dae258ed7fed400198fd724080
SHA256: a754f03f3a2b7a4c5fd4673ee4405897d510150793322c33e81735e59ca58707
SHA512: 7c95db3eac6b3b5d3c0c9ba2def31b4837efef6c8a2ecf4fe0b514c0c5300b07c0f8f43db915586bccdebba6d621d32a547ddc5d092b10bbf9aa6ffc258f83d3
Homepage: https://cran.r-project.org/package=ZIBseq
Description: CRAN Package 'ZIBseq' (Differential Abundance Analysis for Metagenomic Data viaZero-Inflated Beta Regression)
 Detects abundance differences across clinical conditions. Besides, it takes
 the sparse nature of metagenomic data into account and handles compositional
 data efficiently.

Package: r-cran-zillowr
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 152
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rcurl, r-cran-xml
Suggests: r-cran-covr, r-cran-dt, r-cran-knitr, r-cran-mockery, r-cran-rmarkdown, r-cran-spelling, r-cran-testthat, r-cran-withr
Filename: pool/dists/focal/main/r-cran-zillowr_1.0.0-1.ca2004.1_all.deb
Size: 62008
MD5sum: f2dd9865494b662b555dd7e215dcb801
SHA1: 303f4a2932aca33cbd7cd25fd6f1ea457a225df8
SHA256: c4a2886c900c1cab7188c301931d07eea1739d43efb67f04e278f3cc0ae950f5
SHA512: 52e8be5b9b45141d39287370ee65c3fc2c61a4a7a320deb0d6bb1042b2fe40abb8d5589b617979f8d173fab22d7550a0834392380a1daa7795f66bd6ccd8f36c
Homepage: https://cran.r-project.org/package=ZillowR
Description: CRAN Package 'ZillowR' (R Interface to Zillow Real Estate and Mortgage Data API)
 Zillow, an online real estate company, provides real estate and mortgage
 data for the United States through a REST API. The ZillowR package provides
 an R function for each API service, making it easy to make API calls and
 process the response into convenient, R-friendly data structures.  See
 <https://www.zillow.com/howto/api/APIOverview.htm> for the Zillow API
 Documentation. NOTE: Zillow deprecated their API on 2021-09-30, and this
 package is now deprecated as a result.

Package: r-cran-zim4rv
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 710
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-pscl, r-cran-compquadform, r-cran-skat, r-cran-rnomni
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zim4rv_0.1.1-1.ca2004.1_all.deb
Size: 246840
MD5sum: eca93072c88f46a6e675c076d1e305ec
SHA1: d77ab96dfe888572ddf1dab66b78f7184f2a4caf
SHA256: d6709a95176658b32a5d392588ff319e0d58bb19d3805ac336edb3291ed0cb69
SHA512: 15543bbab8ad50c3d5a638dae452eb0465ac46989409564cb46aebcbe04f98df522bc3d32e5c50ff9b16b9eaefb1582ba3c5c43b9f49a86e33b36f9a17ef5115
Homepage: https://cran.r-project.org/package=ZIM4rv
Description: CRAN Package 'ZIM4rv' (Gene‐based Association Tests of Zero‐inflated Count Phenotypefor Rare Variants)
 Gene‐based association tests to model count data with excessive zeros and
 rare variants using zero-inflated Poisson/zero-inflated negative Binomial
 regression framework. This method was originally described by Fan, Sun, and
 Li in Genetic Epidemiology 46(1):73-86 <doi:10.1002/gepi.22438>.

Package: r-cran-zim
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 179
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mass
Suggests: r-cran-pscl, r-cran-tsa
Filename: pool/dists/focal/main/r-cran-zim_1.1.0-1.ca2004.1_all.deb
Size: 142228
MD5sum: 8feb1e6dcf6d95cadbc74c2cb3a2881d
SHA1: d3878b7c23d92e17f3c8a54052c588e744eb4f1a
SHA256: 38eb6f0276c719181fa3d2f127c8c011f75af4b5830262a852c3f47ad60ca958
SHA512: c06633b5c3a401c95d8d13af4fa5bfb2eefb84bbfbc908ba18060f873318905baa389929981f1a18e1d61e98fafa9cb8c71af99df2a7285970576d9b6d1f4370
Homepage: https://cran.r-project.org/package=ZIM
Description: CRAN Package 'ZIM' (Zero-Inflated Models (ZIM) for Count Time Series with ExcessZeros)
 Analyze count time series with excess zeros.  Two types of statistical
 models are supported: Markov regression by Yang et al.  (2013)
 <doi:10.1016/j.stamet.2013.02.001> and state-space models by Yang et al.
 (2015) <doi:10.1177/1471082X14535530>. They are also known as
 observation-driven and parameter-driven models respectively in the time
 series literature. The functions used for Markov regression or
 observation-driven models can also be used to fit ordinary regression models
 with independent data under the zero-inflated Poisson (ZIP) or zero-inflated
 negative binomial (ZINB) assumption. Besides, the package contains some
 miscellaneous functions to compute density, distribution, quantile, and
 generate random numbers from ZIP and ZINB distributions.

Package: r-cran-zinar1
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 78
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gamlss.dist, r-cran-vgam, r-cran-mass, r-cran-statmod, r-cran-gtools, r-cran-scales
Suggests: r-cran-devtools, r-cran-roxygen2
Filename: pool/dists/focal/main/r-cran-zinar1_0.1.0-1.ca2004.1_all.deb
Size: 43596
MD5sum: d489e8bab05f56f884760d5d575ecbbd
SHA1: eecf123cbf1a2a0ba7181677c09bffbaab1a0ea1
SHA256: 2055b0d7051398316be61bd800a43605f51bdf3cf5641615046ef3fd9a6d0862
SHA512: 504e1c4ca034599c077c232b729615a49c4f631526edc27072abcf5f7f743e287cb4e3140c6efbde6c6b5016350a4abaf4572b6a9b057bb8638a39467350cec6
Homepage: https://cran.r-project.org/package=ZINAR1
Description: CRAN Package 'ZINAR1' (Simulates ZINAR(1) Model and Estimates Its Parameters UnderFrequentist Approach)
 Generates Realizations of First-Order Integer Valued Autoregressive
 Processes with Zero-Inflated Innovations (ZINAR(1)) and Estimates its
 Parameters as described in Garay et al. (2021)
 <doi:10.1007/978-3-030-82110-4_2>.

Package: r-cran-zinarp
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 75
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-progress
Filename: pool/dists/focal/main/r-cran-zinarp_0.1.0-1.ca2004.1_all.deb
Size: 39908
MD5sum: b126c36b22cb32285e039d7b0c1711d9
SHA1: ca322fca7c6496948199fd17216cd56bc3546b38
SHA256: 1cac05b934b00318962c50a5396be1845e9b82a287b500c89b98ddb08d8040f8
SHA512: d40411c8452911584ce30bb9ff905353a8b3ef9b2129da851da4e482778fbdadc4a234570be2f2723b2ee33a9a089c9e945582738c0e57dfb9ec553f9603c3c0
Homepage: https://cran.r-project.org/package=ZINARp
Description: CRAN Package 'ZINARp' (Simulate INAR/ZINAR(p) Models and Estimate Its Parameters)
 Simulation, exploratory data analysis and Bayesian analysis of the p-order
 Integer-valued Autoregressive (INAR(p)) and Zero-inflated p-order
 Integer-valued Autoregressive (ZINAR(p)) processes, as described in Garay et
 al. (2020) <doi:10.1080/00949655.2020.1754819>.

Package: r-cran-zipangu
Architecture: all
Version: 0.3.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 313
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-dplyr, r-cran-lifecycle, r-cran-lubridate, r-cran-magrittr, r-cran-memoise, r-cran-purrr, r-cran-rlang, r-cran-stringi, r-cran-stringr, r-cran-tibble, r-cran-arabic2kansuji
Suggests: r-cran-curl, r-cran-testthat, r-cran-scales
Filename: pool/dists/focal/main/r-cran-zipangu_0.3.3-1.ca2004.1_all.deb
Size: 246808
MD5sum: ae390d72d396a53964805513b5cb2eaa
SHA1: e3c553826305e0bc9159d82f67620128e19d804d
SHA256: 107e6a13c353477804f2dac62eee11e3211b2a09adea87f062f89c4f05e5561f
SHA512: be08ef767022363ba3ef437ef6f7a330bd4d43e88289f1b07a04284b458335a144758ca81ef131570d245c54dcd0756032ca04bf227955ef91c3e23bfa69e719
Homepage: https://cran.r-project.org/package=zipangu
Description: CRAN Package 'zipangu' (Japanese Utility Functions and Data)
 Some data treated by the Japanese R user require unique operations and
 processing. These are caused by address, Kanji, and traditional year
 representations. 'zipangu' transforms specific to Japan into something more
 general one.

Package: r-cran-zipcoder
Architecture: all
Version: 0.3.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3744
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-rlang, r-cran-stringr, r-cran-raster, r-cran-tidycensus, r-cran-tidyr, r-cran-dplyr, r-cran-jsonlite, r-cran-httr, r-cran-curl, r-cran-rsqlite, r-cran-dbi
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-markdown, r-cran-readr, r-cran-testthat, r-cran-covr, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-zipcoder_0.3.5-1.ca2004.1_all.deb
Size: 3699720
MD5sum: 0771ce4e22594b209faca5e5cca18bdf
SHA1: bcb2804aaef355376a0622d458778b917e87a25a
SHA256: 6c45f61a521ab959e10a2748d5d13398bdd39dff963b527133c278b5581fe440
SHA512: 399c9d7b72d93049acbb1bb7d03959f2526503501cca60563b9835c2aad3a2b8f7b7c995c9da158cd50b6478896fbb233d48352f666f1db0ddaf87603fefc332
Homepage: https://cran.r-project.org/package=zipcodeR
Description: CRAN Package 'zipcodeR' (Data & Functions for Working with US ZIP Codes)
 Make working with ZIP codes in R painless with an integrated dataset of U.S.
 ZIP codes and functions for working with them.  Search ZIP codes by multiple
 geographies, including state, county, city & across time zones. Also
 included are functions for relating ZIP codes to Census data, geocoding &
 distance calculations.

Package: r-cran-zipfa
Architecture: all
Version: 0.8.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 104
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-matrix, r-cran-doparallel, r-cran-foreach, r-cran-optimx, r-cran-trustoptim
Filename: pool/dists/focal/main/r-cran-zipfa_0.8.1-1.ca2004.1_all.deb
Size: 70728
MD5sum: b79c74e782e2280019721e5c2981b022
SHA1: a2f41bcbfec3020a2036ff142c7479f085352854
SHA256: 166a778819bed2bcb748c53ed54abe73cf68da09514033f5c39d46c446f00046
SHA512: 30701396bb61ec408eb11a5b56afe2e58c6051ef9b47145309a2401d8fa15be31dc5a19ba9e6c8f066fde7927f26f86d5c0081bb404f214a0fa14e73ddc63639
Homepage: https://cran.r-project.org/package=ZIPFA
Description: CRAN Package 'ZIPFA' (Zero Inflated Poisson Factor Analysis)
 Estimation methods for zero-inflated Poisson factor analysis (ZIPFA) on
 sparse data.  It provides estimates of coefficients in a new type of
 zero-inflated regression.  It provides a cross-validation method to
 determine the potential rank of the data in the ZIPFA and conducts
 zero-inflated Poisson factor analysis based on the determined rank.

Package: r-cran-zipfextr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 221
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-vgam
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zipfextr_1.0.2-1.ca2004.1_all.deb
Size: 165688
MD5sum: 4bcaac3efef753b7d5225775b36f611c
SHA1: f879810973e028aec4881338cddfa5654150ae62
SHA256: ebd0bd9b302aa8422bc522d304920293e18aa28862292761b65887435cf04e08
SHA512: 44bdc7c71e47ee16e8e0d7c409b55c506a17970dc9ccd7808be9ce6754563296cf9262330e293dd0e040e2c53027cf1abca41afd3260ce61c3497e21ee1887d4
Homepage: https://cran.r-project.org/package=zipfextR
Description: CRAN Package 'zipfextR' (Zipf Extended Distributions)
 Implementation of four extensions of the Zipf distribution: the
 Marshall-Olkin Extended Zipf (MOEZipf) Pérez-Casany, M., & Casellas, A.
 (2013) <arXiv:1304.4540>, the Zipf-Poisson Extreme (Zipf-PE), the
 Zipf-Poisson Stopped Sum (Zipf-PSS) and the Zipf-Polylog distributions.  In
 log-log scale, the two first extensions allow for top-concavity and
 top-convexity while the third one only allows for top-concavity.  All the
 extensions maintain the linearity associated with the Zipf model in the
 tail.

Package: r-cran-zipfr
Architecture: all
Version: 0.6-70-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2714
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-zipfr_0.6-70-1.ca2004.1_all.deb
Size: 2452372
MD5sum: 3fcbb099213978ab2f4d21d0f1ce018c
SHA1: d5824e4497df8a8e2e32e7d4f620a8185908d321
SHA256: bd46aa51cd469829fdd33fc001deef30cdf3795976c7eced867a746f6ab18dd5
SHA512: c4a147ce8f2cca6369c6b470cdc330f1d04bffbb6590a420d0d124bdab6938c53436d15e3bb10ccf9e422b9587b639c912d7ec1816087c87e82ef17daac2b0e0
Homepage: https://cran.r-project.org/package=zipfR
Description: CRAN Package 'zipfR' (Statistical Models for Word Frequency Distributions)
 Statistical models and utilities for the analysis of word frequency
 distributions.  The utilities include functions for loading, manipulating
 and visualizing word frequency data and vocabulary growth curves.  The
 package also implements several statistical models for the distribution of
 word frequencies in a population.  (The name of this package derives from
 the most famous word frequency distribution, Zipf's law.)

Package: r-cran-zipg
Architecture: all
Version: 1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 356
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-pscl, r-cran-mass
Filename: pool/dists/focal/main/r-cran-zipg_1.1-1.ca2004.1_all.deb
Size: 314940
MD5sum: 5ade23923f236884e2d34b410deac3bb
SHA1: 74aeae74dc4e5fa6c6db4a91499f0aedcacfa328
SHA256: a04f176fe4deca9f79ab39d4f790809666905d4829d0ad9f1d487115ef63e2f2
SHA512: 98cf79476ece2c61205ed8997cdd08045821c691bf2ce4f3b7196e873c8910e26f7957444266e1ce850d185634630ed8306fd57189dc6a08c12dc57ca86869ec
Homepage: https://cran.r-project.org/package=ZIPG
Description: CRAN Package 'ZIPG' (Zero-Inflated Poisson-Gamma Regression)
 We provide a flexible Zero-inflated Poisson-Gamma Model (ZIPG) by connecting
 both the mean abundance and the variability to different covariates, and
 build valid statistical inference procedures for both parameter estimation
 and hypothesis testing. These functions can be used to analyze microbiome
 count data with zero-inflation and overdispersion. The model is discussed in
 Jiang et al (2023) <doi:10.1080/01621459.2022.2151447>.

Package: r-cran-zipper
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2573
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-cli, r-cran-dplyr, r-cran-httr, r-cran-jsonlite, r-cran-purrr, r-cran-readr, r-cran-sf, r-cran-spatstat.univar, r-cran-stringr, r-cran-tibble, r-cran-tidycensus, r-cran-tidyr, r-cran-tigris
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zipper_0.1.2-1.ca2004.1_all.deb
Size: 2298452
MD5sum: 9d293428209bcbedf7f405f0356d9b57
SHA1: 42ad7f60ce510db5ce4682162608616c0a78b41e
SHA256: 7d3a5f5a58a32f1b1b641f251299dad8f50be0268869eb408766623ede0588cc
SHA512: 0376e1d74803e0acc4fe15deac19e897a0140be68783b2e9ec841e1f4cadb58e21a044c20c13d8e480aa15164740d2eae9f5963b3bf4fcde8e1de40ca6555e9e
Homepage: https://cran.r-project.org/package=zippeR
Description: CRAN Package 'zippeR' (Working with United States ZIP Code and ZIP Code Tabulation AreaData)
 Provides a set of functions for working with American postal codes, which
 are known as ZIP Codes. These include accessing ZIP Code to ZIP Code
 Tabulation Area (ZCTA) crosswalks, retrieving demographic data for ZCTAs,
 and tabulating demographic data for three-digit ZCTAs.

Package: r-cran-zipr
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 66
Depends: r-base-core (>= 4.1.3), r-api-4.0
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-devtools
Filename: pool/dists/focal/main/r-cran-zipr_0.1.1-1.ca2004.1_all.deb
Size: 19224
MD5sum: 56e0c409e553c813826454adfcb5a260
SHA1: 0aab06c8d0c6d59505a4a08c7998be5c1c9e02f4
SHA256: 44d1ec1f2edffb787aa9699e35f990191d53b1ab7d8760a30cf394eafafba855
SHA512: 6975f0a0d87b1e6b319e58b30cedc196f6e08bf67a672a0ffcce143523d67541bc558a72cb2bbc01c64deb0ac7ab320d7611ee931f3fa11b8c777de78993741d
Homepage: https://cran.r-project.org/package=zipR
Description: CRAN Package 'zipR' (Pythonic Zip() for R)
 Implements Python-style zip for R. Is a more flexible version of cbind.

Package: r-cran-zipradius
Architecture: all
Version: 1.0.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1079
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-dplyr, r-cran-geosphere, r-cran-magrittr, r-cran-testthat, r-cran-rlang, r-cran-ggplot2
Suggests: r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-zipradius_1.0.1-1.ca2004.1_all.deb
Size: 947940
MD5sum: c546cb249d80dca86332a0382f6d0fc2
SHA1: 6fd55ddaea9cad2222e1c5a5a32f0f8e35886e89
SHA256: fd41d9d778a8452198e1353b3df9c9cdb00937fbd102e37789c391343ce0a331
SHA512: 60f96ba1d59386728fefd93019239b2532da271a3dbe2c28be33416321cf06b6847ca1ac596e3a5a1d83b39acdae815f90bdd38c8c954b08d85b7b969d51fa3e
Homepage: https://cran.r-project.org/package=ZipRadius
Description: CRAN Package 'ZipRadius' (Creates a Data Frame of US Zip Codes in a Given Radius from aGiven US Zip Code)
 Generates a data frame of US zip codes and their distance to the given zip
 code when given a starting zip code and a radius in miles. Also includes
 functions for use with 'choroplethrZip' which are detailed in the vignette.

Package: r-cran-ziprop
Architecture: all
Version: 0.1.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 284
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-rgenoud, r-cran-purrr, r-cran-data.table
Suggests: r-cran-markdown, r-cran-knitr, r-cran-ggplot2, r-cran-ggrepel, r-cran-ggthemes, r-cran-kableextra, r-cran-stringr
Filename: pool/dists/focal/main/r-cran-ziprop_0.1.1-1.ca2004.1_all.deb
Size: 201912
MD5sum: 94e79a84cee6eca21c55ce0082120294
SHA1: bb1b4e759cb55fea443c4b271abb6e21707c0bbe
SHA256: 8ce220b81062b5b001f4ff953ca3b72822adf3f380556f9f9630669f42edd51f
SHA512: 46c271a7f84a4be163ab4e9436dff784eec5230b157f9d387efb96eab9c0e5b706ece43207145531ca2a0d3a2a393fb8ba121cbfbbdd13897e3de348890621fc
Homepage: https://cran.r-project.org/package=ZIprop
Description: CRAN Package 'ZIprop' (Permutations Tests and Performance Indicator for Zero-InflatedProportions Response)
 Permutations tests to identify factor correlated to zero-inflated
 proportions response. Provide a performance indicator based on Spearman
 correlation to quantify the part of correlation explained by the selected
 set of factors. See details for the method at the following preprint e.g.:
 <https://hal.archives-ouvertes.fr/hal-02936779v3>.

Package: r-cran-zipsae
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 59
Depends: r-base-core (>= 4.1.3), r-api-4.0
Filename: pool/dists/focal/main/r-cran-zipsae_1.0.2-1.ca2004.1_all.deb
Size: 24604
MD5sum: e73d3e2f3411dd4475b30e15d91cd31f
SHA1: 7c46b0599f68fa0a7af1b2c5b7c09b63da973d5d
SHA256: 88826f481d3d765c6e552c6bc73149676d434f7a482f36b25c713231e986591b
SHA512: 1a6333a1ab3ee81e0c53e68f4846153e7cf71c47af334af96cb9b46a68d97538da4a4252e2121ab2361aafb035fde137d609073b0631894e97c6613eaa972874
Homepage: https://cran.r-project.org/package=zipsae
Description: CRAN Package 'zipsae' (Small Area Estimation with Zero-Inflated Model)
 This function produces empirical best linier unbiased predictions (EBLUPs)
 for Zero-Inflated data and its Relative Standard Error. Small Area
 Estimation with Zero-Inflated Model (SAE-ZIP) is a model developed for
 Zero-Inflated data that can lead us to overdispersion situation. To handle
 this kind of situation, this model is created. The model in this package is
 based on Small Area Estimation with Zero-Inflated Poisson model proposed by
 Dian Christien Arisona
 (2018)<https://repository.ipb.ac.id/handle/123456789/92308>. For the data
 sample itself, we use combination method between Roberto Benavent and
 Domingo Morales (2015)<doi:10.1016/j.csda.2015.07.013> and Sabine Krieg,
 Harm Jan Boonstra and Marc Smeets (2016)<doi:10.1515/jos-2016-0051>.

Package: r-cran-zlavian
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 205
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-lme4, r-cran-performance, r-cran-doparallel
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-zlavian_0.2.0-1.ca2004.1_all.deb
Size: 133620
MD5sum: ccc9ab0658f9796dccaa94046c6c7b11
SHA1: bfad4d76b98859b16c447da24286bb403a1da864
SHA256: dceba7b7fc868fc2550a92370bda3035d101d0dd78320f9d35789080c27f6847
SHA512: 88c577018d760580aa8972e7a94706338285faf2e04cdb1876e2fd6d7a620da4f5eb67cb7d2dd1003b9905f729cf1bcf8e6f08458ad27731281b83a4aed8afd0
Homepage: https://cran.r-project.org/package=ZLAvian
Description: CRAN Package 'ZLAvian' (Zipf's Law of Abbreviation in Animal Vocalisations)
 Assesses evidence for Zipf's Law of Abbreviation in animal vocalisation
 using IDs, note class and note duration. The package also provides a web
 plot function for visualisation.

Package: r-cran-zlog
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 206
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-kableextra, r-cran-knitr, r-cran-rmarkdown, r-cran-survival, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zlog_1.0.2-1.ca2004.1_all.deb
Size: 68300
MD5sum: 7f9de91a83c3637cee5512627c62abde
SHA1: d5b69dfcc3d118870e6f1a8c6680e91509bc04a6
SHA256: 6869b98acfa66ca58572762d1b2126b51f33c97ca5fc5c7d2146a90f65cb62eb
SHA512: 02133c2e7e32dd74de5f2ab62bf9d7654c7083c9c93e776d2b9b999368bc24ae4071e27a91474924b77439ff9a316b9c7a2d02b74dacac5b3db3fea95655e61f
Homepage: https://cran.r-project.org/package=zlog
Description: CRAN Package 'zlog' (Z(log) Transformation for Laboratory Measurements)
 Transformation of laboratory measurements into z or z(log)-value based on
 given or empirical reference limits as proposed in Hoffmann et al. 2017
 <doi:10.1515/labmed-2016-0087>.

Package: r-cran-zmisc
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 129
Depends: r-base-core (>= 4.2.2), r-api-4.0
Suggests: r-cran-desc, r-cran-dplyr, r-cran-haven, r-cran-knitr, r-cran-labelled, r-cran-purrr, r-cran-rmarkdown, r-cran-roxygen2, r-cran-rprojroot, r-cran-stringr, r-cran-testthat, r-cran-tibble
Filename: pool/dists/focal/main/r-cran-zmisc_0.2.3-1.ca2004.1_all.deb
Size: 66336
MD5sum: 1d5036304ad9a2d3fa468a8ba84951f1
SHA1: 7931c405022d0607900cb671e059dbc4158ed08d
SHA256: 3e1fb34f52fd327b2b30ad5d32565f76ae69a4aa89a5ff0ab848a2afda4681d2
SHA512: 37af31771620240bb8a50605239dd9db9cf398dad8cd90e4c96aa78787822d226e3ffd2787f71b3440d1bfb0bf7d00b7b3b63708a0dbe68bf46387165286ff88
Homepage: https://cran.r-project.org/package=zmisc
Description: CRAN Package 'zmisc' (Vector Look-Ups and Safer Sampling)
 A collection of utility functions that facilitate looking up vector values
 from a lookup table, annotate values in at table for clearer viewing, and
 support a safer approach to vector sampling, sequence generation, and
 aggregation.

Package: r-cran-zoeppritz
Architecture: all
Version: 1.0-9-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 71
Depends: r-base-core (>= 4.2.2), r-api-4.0
Filename: pool/dists/focal/main/r-cran-zoeppritz_1.0-9-1.ca2004.1_all.deb
Size: 39544
MD5sum: ec4dff68136678c1615acb6e8d1c39a2
SHA1: 80a39c1abce6d7929ef8928342503be5caa01c05
SHA256: 712abac0b7a335b70f1404752d44ed611498979f694cc437387727d71356d811
SHA512: 0f814d67546143f6d6e33a77d92e6bd336fa1c5e79b9846190db8e614c96c465223c78eaa7a4ce5f6a169cdaaed8e644ea1fe2360ee3ddd1241d97b176bfc81f
Homepage: https://cran.r-project.org/package=zoeppritz
Description: CRAN Package 'zoeppritz' (Seismic Reflection and Scattering Coefficients)
 Calculate and plot scattering matrix coefficients for plane waves at
 interface.

Package: r-cran-zoib
Architecture: all
Version: 1.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 453
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-rjags, r-cran-coda, r-cran-formula, r-cran-abind
Filename: pool/dists/focal/main/r-cran-zoib_1.6-1.ca2004.1_all.deb
Size: 327260
MD5sum: 79065dd060eac5a9ca0cf34e15c61f12
SHA1: 76eae162ed1448462f77107111eb046ac921720c
SHA256: 6522f5979ca3690b40922cc4bf03aeac1811f5589e38e2d756afc83328d30f47
SHA512: b78cdd352f4a70dcc58cbbe0a88e006e51aeba4d3ca053df0f1dd8d79386d4057a444b01a61aa8a59a7c9d5a350489d0393513ef3a21a854496b484083390024
Homepage: https://cran.r-project.org/package=zoib
Description: CRAN Package 'zoib' (Bayesian Inference for Beta Regression and Zero-or-One InflatedBeta Regression)
 Fits beta regression and zero-or-one inflated beta regression and obtains
 Bayesian Inference of the model via the Markov Chain Monte Carlo approach
 implemented in JAGS.

Package: r-cran-zoltr
Architecture: all
Version: 1.0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 263
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-data.table, r-cran-httr, r-cran-jsonlite, r-cran-readr, r-cran-base64url, r-cran-dplyr, r-cran-mmwrweek, r-cran-rlang, r-cran-magrittr, r-cran-lubridate
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-webmockr, r-cran-mockery
Filename: pool/dists/focal/main/r-cran-zoltr_1.0.2-1.ca2004.1_all.deb
Size: 143768
MD5sum: 16b0a8d3337f82a403dfc33871856ca4
SHA1: 0f14bf03b428a7b513cadf7132f99968d0b8dade
SHA256: 0d57e5b25aadf9eefd8422f19c033f8c4a569427cb3cc3e907ed96b69a9ae4f7
SHA512: 2edfcdf73c9873b83fb26d1bf6f1399e1e0a8129d80310127c7ecd7674f8660d2ad6b9a68980002a516226b10edcd6ab8b3b5e36a91a266c392302b0e5493998
Homepage: https://cran.r-project.org/package=zoltr
Description: CRAN Package 'zoltr' (Interface to the 'Zoltar' Forecast Repository API)
 'Zoltar' <https://www.zoltardata.com/> is a website that provides a
 repository of model forecast results in a standardized format and a central
 location. It supports storing, retrieving, comparing, and analyzing time
 series forecasts for prediction challenges of interest to the modeling
 community. This package provides functions for working with the 'Zoltar'
 API, including connecting and authenticating, getting meta information
 (projects, models, and forecasts, and truth), and uploading, downloading,
 and deleting forecast and truth data.

Package: r-cran-zonator
Architecture: all
Version: 0.6.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2596
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-raster, r-cran-reshape2, r-cran-rgdal
Suggests: r-cran-knitr, r-cran-rastervis, r-cran-rmarkdown, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zonator_0.6.0-1.ca2004.1_all.deb
Size: 1323420
MD5sum: 6e44fba0a22a6cc98f66da8af1716501
SHA1: 000dcd25d5c7c44c394b4c83858d938cc2c3b2f8
SHA256: 42f726660f5cc92f8e8aba19dc5780a55b987e34d93115df0543180bf6e3f950
SHA512: 184b71b1e70d9b073cf3b7773530e9a54574b6fd8b0a3511606d9e5569e06f1bcc2fa2566b564c1c3977db663c6f9ee82b3e0b2cc81ce073a50adc18a17d6298
Homepage: https://cran.r-project.org/package=zonator
Description: CRAN Package 'zonator' (Utilities for Zonation Spatial Conservation PrioritizationSoftware)
 Create new analysis setups and deal with results of Zonation conservation
 prioritization software <https://github.com/cbig/zonation-core>.  This
 package uses data available in the 'zdat' (7.7 MB) package for building the
 vignettes.

Package: r-cran-zonebuilder
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 6101
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-sf, r-cran-rcolorbrewer
Suggests: r-cran-knitr, r-cran-rmarkdown, r-cran-tmap, r-cran-tmaptools, r-cran-dplyr, r-cran-lwgeom, r-cran-leaflet, r-cran-covr, r-cran-bookdown
Filename: pool/dists/focal/main/r-cran-zonebuilder_0.1.0-1.ca2004.1_all.deb
Size: 4730936
MD5sum: 5747bc8b86e3efd792233020d430d788
SHA1: fa3fd6f7000a90b1dd3e0c23fe9d2740c20329ab
SHA256: 4d48fb570c4addca6b0e3fff762c084bbe0a602d21134c632bff6d5efd13f75f
SHA512: 1e921e729cd02f928698e7e6a8f93e6c514096f7f6d9ddbf4551c6289bb35b67860acbf6ecc5cc2f4a1dcade9bc675e5222c66ca2f311f330c1203519c7f141a
Homepage: https://cran.r-project.org/package=zonebuilder
Description: CRAN Package 'zonebuilder' (Create and Explore Geographic Zoning Systems)
 Functions, documentation and example data to help divide geographic space
 into discrete polygons (zones).  The package supports new zoning systems
 that are documented in the accompanying paper, "ClockBoard: A zoning system
 for urban analysis", by Lovelace et al. (2022)
 <doi:10.5311/JOSIS.2022.24.172>.  The functions are motivated by research
 into the merits of different zoning systems (Openshaw, 1977)
 <doi:10.1068/a090169>. A flexible ClockBoard zoning system is provided,
 which breaks-up space by concentric rings and radial lines emanating from a
 central point.  By default, the diameter of the rings grow according to the
 triangular number sequence (Ross & Knott, 2019)
 <doi:10.1080/26375451.2019.1598687> with the first 4 doughnuts (or annuli)
 measuring 1, 3, 6, and 10 km wide.  These annuli are subdivided into equal
 segments (12 by default), creating the visual impression of a dartboard.
 Zones are labelled according to distance to the centre and angular distance
 from North, creating a simple geographic zoning and labelling system useful
 for visualising geographic phenomena with a clearly demarcated central
 location such as cities.

Package: r-cran-zooarch
Architecture: all
Version: 1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 767
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-ggplot2
Suggests: r-cran-rmarkdown, r-cran-knitr
Filename: pool/dists/focal/main/r-cran-zooarch_1.2-1.ca2004.1_all.deb
Size: 219152
MD5sum: cfd27fe0970c59b12c086b9662d2074e
SHA1: ecdbc184ddde73ab6a222a8fbdc5184100516180
SHA256: 5d6ef7c6c0b7913ed8611ba2b231f6d85b7b96bd51dc64b01f47a7d986bf2e3f
SHA512: 306807f1c4c883d8e66af1f197aa64717522ce52ccc61eef980255e04249902599f0d3d9fd7938237e5374befda451173b8000e87272494bcc34d027c7e06b74
Homepage: https://cran.r-project.org/package=zooaRch
Description: CRAN Package 'zooaRch' (Analytical Tools for Zooarchaeological Data)
 The analysis and inference of faunal remains recovered from archaeological
 sites concerns the field of zooarchaeology. The zooaRch package provides
 analytical tools to make inferences on zooarchaeological data.  Functions in
 this package allow users to read, manipulate, visualize, and analyze
 zooarchaeological data.

Package: r-cran-zooid
Architecture: all
Version: 0.2.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 57
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-magick
Filename: pool/dists/focal/main/r-cran-zooid_0.2.0-1.ca2004.1_all.deb
Size: 25556
MD5sum: 6ff02c661af118ea6a09759641ba73e1
SHA1: 655be490b86add89d1b6ab22fc12937b7e2c6717
SHA256: ff58758c3535ea102351944cf483a80ad00d249118d8cbda33edafe4908394de
SHA512: 900baa00d22467c7564ca3e5f6f3b824a4d4b5e01780a1ac570bf4e2ca3ef0128d91f8f31658d6a7784fb228561ef5d8572364ed0cb64b1c7ee170876ac0e5c3
Homepage: https://cran.r-project.org/package=ZooID
Description: CRAN Package 'ZooID' (Load, Segment and Classify Zooplankton Images)
 This tool provides functions to load, segment and classify zooplankton
 images.  The image processing algorithms and the machine learning
 classifiers in this package are (will be, since these have not been added
 yet) direct ports of an early 'python' implementation that can be found at
 <https://github.com/arickGrootveld/ZooID>. The model weights and datasets
 (also not added yet) that are a part of this package can also be found at
 Arick Grootveld, Eva R. Kozak, Carmen Franco-Gordo (2023)
 <doi:10.5281/zenodo.7979996>.

Package: r-cran-zooimage
Architecture: all
Version: 5.5.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3994
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-mlearning, r-cran-svmisc, r-cran-svdialogs, r-cran-filehash, r-cran-jpeg, r-cran-png, r-cran-tiff, r-cran-digest, r-cran-mass, r-cran-mda, r-cran-shiny, r-cran-dt
Suggests: r-cran-rjava, r-cran-mlbench
Filename: pool/dists/focal/main/r-cran-zooimage_5.5.2-1.ca2004.1_all.deb
Size: 3261984
MD5sum: 84e122c584fe58f1bcc67a9fc28d107e
SHA1: ce1841ef2c2c05fd47529b2f551b02554a862cc3
SHA256: e352af841a658de86a1707e1339719eab782b94820a1f2a39c34c9d0db0d205f
SHA512: 9df6d93bec30cd331140a2737812f65769ee0869a10a6b68ad66a8f730c21010d81ccaed77d40e687c47f1de9616412c454496f6f8f27cfea565ff74173d5dbd
Homepage: https://cran.r-project.org/package=zooimage
Description: CRAN Package 'zooimage' (Analysis of Numerical Plankton Images)
 A free (open source) solution for analyzing digital images of plankton. In
 combination with ImageJ, a free image analysis system, it processes digital
 images, measures individuals, trains for automatic classification of taxa,
 and finally, measures plankton samples (abundances, total and partial size
 spectra or biomasses, etc.).

Package: r-cran-zoolog
Architecture: all
Version: 1.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1347
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-stringi, r-cran-rdpack
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-ggplot2
Filename: pool/dists/focal/main/r-cran-zoolog_1.1.0-1.ca2004.1_all.deb
Size: 873812
MD5sum: 45d81215549440a9802e6771816c72ed
SHA1: 22084336ebf7476cadc88f3214d43804e82533d9
SHA256: 07ca74d0a3a03af743d6ad5b4324ce935cf3116c41fed2731768692b17fc45a7
SHA512: 1ca66706dce018744996d405251fd9ffacdafb89abdf62b02902790506781988bfa39fb254da8e83927d97dcccdb1cee464088e5faa4f9eab4a27a07e9a442ce
Homepage: https://cran.r-project.org/package=zoolog
Description: CRAN Package 'zoolog' (Zooarchaeological Analysis with Log-Ratios)
 Includes functions and reference data to generate and manipulate log-ratios
 (also known as log size index (LSI) values) from measurements obtained on
 zooarchaeological material. Log ratios are used to compare the relative
 (rather than the absolute) dimensions of animals from archaeological
 contexts (Meadow 1999, ISBN: 9783896463883).  zoolog is also able to
 seamlessly integrate data and references with heterogeneous nomenclature,
 which is internally managed by a zoolog thesaurus.  A preliminary version of
 the zoolog methods was first used by Trentacoste, Nieto-Espinet, and
 Valenzuela-Lamas (2018) <doi:10.1371/journal.pone.0208109>.

Package: r-cran-zoom
Architecture: all
Version: 2.0.6-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 90
Depends: r-base-core (>= 4.2.0), r-api-4.0
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zoom_2.0.6-1.ca2004.1_all.deb
Size: 55188
MD5sum: 0d85ee686567c11ba16797fd797fcd6b
SHA1: 2ab21c5bbc70447c7998ee6bef52b630925eacba
SHA256: 3f8372066f762996e894b3c8be513ec23871f452b4b3dd53d852159d5c2f4c2e
SHA512: 938c8453b38aba7418d675be0a21b0cf414aff72445753949a0fdbcdbb9f0cc16a4c105b1c5256424769d81a2a41b08181f55f8d519e18d11d633a306250ffad
Homepage: https://cran.r-project.org/package=zoom
Description: CRAN Package 'zoom' (A Spatial Data Visualization Tool)
 You can call zm(), when displaying any active plot to enter an interactive
 session to zoom/navigate any plot. The development version, as well as
 binary releases can be found at <https://github.com/cbarbu/R-package-zoom>.

Package: r-cran-zoomgroupstats
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2224
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-data.table, r-cran-dplyr, r-cran-lubridate, r-cran-magick, r-cran-openxlsx, r-cran-paws, r-cran-pbapply, r-cran-stringr, r-cran-syuzhet
Suggests: r-cran-rmarkdown, r-cran-knitr, r-cran-testthat
Filename: pool/dists/focal/main/r-cran-zoomgroupstats_0.1.0-1.ca2004.1_all.deb
Size: 513648
MD5sum: 3ca3da8b534fafba9c5d8e86a176ca36
SHA1: 5d2ebe78dd6bd7bbb62ab04fb871896c32821459
SHA256: 2789cf43db12cf4d20a40992266d36a1793bf061548a36ea6f1cda0e6414ef95
SHA512: 8eff7e25e34ef001249267a40e2ab5311cc529a8aff4fb33bef7ea4a7b2e47dbeeac41dae7a7007078031435c0c50e68ae463a58c9e8deb3492538a85019ef48
Homepage: https://cran.r-project.org/package=zoomGroupStats
Description: CRAN Package 'zoomGroupStats' (Analyze Text, Audio, and Video from 'Zoom' Meetings)
 Provides utilities for processing and analyzing the files that are exported
 from a recorded 'Zoom' Meeting. This includes analyzing data captured
 through video cameras and microphones, the text-based chat, and meta-data.
 You can analyze aspects of the conversation among meeting participants and
 their emotional expressions throughout the meeting.

Package: r-cran-zoomr
Architecture: all
Version: 0.3.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 88
Depends: r-base-core (>= 4.3.0), r-api-4.0, r-cran-dplyr, r-cran-magrittr, r-cran-jsonlite, r-cran-httr, r-cran-glue, r-cran-rlang, r-cran-tidyr, r-cran-janitor, r-cran-tidyselect, r-cran-purrr
Filename: pool/dists/focal/main/r-cran-zoomr_0.3.0-1.ca2004.1_all.deb
Size: 59344
MD5sum: 75337be3d67f89a6469bb8e3eb587479
SHA1: 5b8e321ee737387a50fa4dd4c2495f3155224b30
SHA256: 7253ade26bd56fb40629d7c4db8161d12d32446a91ffc14a77944d62e126b41e
SHA512: 935979911d8b03b2ff35f0a07bdceb74ba00378e1d0acc4b578fac27fd91e35398ac79c89971e5aa9179e139e613f962972a53260ed9afc8ff206b32aaa97a79
Homepage: https://cran.r-project.org/package=zoomr
Description: CRAN Package 'zoomr' (Connect to Your 'Zoom' Data)
 Facilitates making a connection to the 'Zoom' API and executing various
 queries. You can use it to get data on 'Zoom' webinars and 'Zoom' meetings.
 The 'Zoom' documentation is available at
 <https://developers.zoom.us/docs/api/>. This package is not supported by
 'Zoom' (owner of the software).

Package: r-cran-zoon
Architecture: all
Version: 0.6.5-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 3903
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-raster, r-cran-dismo, r-cran-plyr, r-cran-randomforest, r-cran-rcurl, r-cran-rfigshare, r-cran-rgdal, r-cran-roxygen2, r-cran-rworldmap, r-cran-sp, r-cran-testthat
Suggests: r-cran-knitr, r-cran-maxlike
Filename: pool/dists/focal/main/r-cran-zoon_0.6.5-1.ca2004.1_all.deb
Size: 804232
MD5sum: c049ca0aabe8589bea69d47555f24eed
SHA1: 538c9dbfa0097900b1516f498d761df07d8cab3d
SHA256: cd0ea510f07162408d2bfbb424a0cacd2c2940977cd232d5fa4f5f312a9394ee
SHA512: b5303ba84db54c07b5d38c6d17948b61df3bf7361601a4039cce48138ae2c8948bfa0b741e44b6bb12b2457c78267e858d9159fc1c0dea3f8d591dd6ee392cbe
Homepage: https://cran.r-project.org/package=zoon
Description: CRAN Package 'zoon' (Reproducible, Accessible & Shareable Species DistributionModelling)
 Reproducible and remixable species distribution modelling.  The package
 reads user submitted modules from an online repository, runs full species
 distribution modelling workflows and returns output that is fully
 reproducible. For examples and detailed discussion refer to: N.Golding et
 al. (2017) 'The zoon r package for reproducible and shareable species
 distribution modelling'. Methods in Ecology and Evolution.
 <doi:10.1111/2041-210X.12858>. The package 'SDMTools' is used for testing
 and, though this package is archived, you can access it here if needed,
 <https://cran.r-project.org/src/contrib/Archive/SDMTools/>.

Package: r-cran-zra
Architecture: all
Version: 0.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 50
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-forecast, r-cran-dygraphs
Filename: pool/dists/focal/main/r-cran-zra_0.2-1.ca2004.1_all.deb
Size: 19536
MD5sum: 42f8491a3f0014c9d4d96b1454457c9f
SHA1: d43eabc64071dfc0a9ec0b29ab8308e423722245
SHA256: 6ac06b1c60d4e87330f76f058ca251d3bbcc4203a0904e02f34250a3e9be8e5d
SHA512: da8a586ec88aef0022a9ccc269a71663a87d3095c8fb40d2d09a5f23701d3aee6528e9da57c3ef6861659c017f0827035dac051e41cf74a9a04452a96b0463ec
Homepage: https://cran.r-project.org/package=ZRA
Description: CRAN Package 'ZRA' (Dynamic Plots for Time Series Forecasting)
 Combines a forecast of a time series, using the function forecast(), with
 the dynamic plots from dygraphs.

Package: r-cran-zscorer
Architecture: all
Version: 0.3.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 2808
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-shiny
Suggests: r-cran-testthat, r-cran-knitr, r-cran-rmarkdown, r-cran-shinythemes, r-cran-covr
Filename: pool/dists/focal/main/r-cran-zscorer_0.3.1-1.ca2004.1_all.deb
Size: 1941972
MD5sum: 40712881797ecb6ad9c9037f23295955
SHA1: 1672e0879e97a24f2eca7dfacf194da438ffbd2b
SHA256: 657e06f2d7e4572f43445fabe63f2705e0bd2595aa7c0f184fa50e6797143206
SHA512: 2c9063417f8e0d27105dd8d469f0a3d70ac25444ab4cf06aef008dd3050edf31039a117af6fb021942fe9ef1ef2d9f0669eeafba4c350a19f6639ecebf18b349
Homepage: https://cran.r-project.org/package=zscorer
Description: CRAN Package 'zscorer' (Child Anthropometry z-Score Calculator)
 A tool for calculating z-scores and centiles for weight-for-age,
 length/height-for-age, weight-for-length/height, BMI-for-age, head
 circumference-for-age, age circumference-for-age, subscapular
 skinfold-for-age, triceps skinfold-for-age based on the WHO Child Growth
 Standards.

Package: r-cran-zseq
Architecture: all
Version: 0.2.1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 169
Depends: r-base-core (>= 4.2.0), r-api-4.0, r-cran-gmp
Filename: pool/dists/focal/main/r-cran-zseq_0.2.1-1.ca2004.1_all.deb
Size: 125236
MD5sum: 73f48b604a5a038092c0330a646e88cf
SHA1: 049705a87541c45a03ecfe7d2c5e2a8565efd52f
SHA256: 8c4dc85d3764055229cc93ca3c9ed481b705becbd2770d27441b2b57e01f5bba
SHA512: 203ae6e7b0f1055c696b79c7d2a558a21e3fd786ba6a900a3fd5279f22145048543f899ac740cf63641c44f42828212d3ccd6b89b2a399635b5d4d4132be3612
Homepage: https://cran.r-project.org/package=Zseq
Description: CRAN Package 'Zseq' (Integer Sequence Generator)
 Generates well-known integer sequences. 'gmp' package is adopted for
 computing with arbitrarily large numbers. Every function has hyperlink to
 its corresponding item in OEIS (The On-Line Encyclopedia of Integer
 Sequences) in the function help page. For interested readers, see Sloane and
 Plouffe (1995, ISBN:978-0125586306).

Package: r-cran-ztable
Architecture: all
Version: 0.2.3-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 1403
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-stringr, r-cran-magrittr, r-cran-rcolorbrewer, r-cran-flextable, r-cran-officer, r-cran-rstudioapi, r-cran-scales
Suggests: r-cran-mass, r-cran-moonbook, r-cran-survival, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-ztable_0.2.3-1.ca2004.1_all.deb
Size: 412048
MD5sum: a7dd43dd0a07054ca44ea807924be60f
SHA1: 7fd9a17c04f2e33998168941590e8666b83f14e3
SHA256: 9a0b048b1ddcd795af1ab41062ef45e391c26a2d9816da0f074ad7b86f1b9487
SHA512: db3eb7055f59213dc93fb8e8d18aaf61c98ade0f6e3d19e4c64d28ccf07f850a874a1165e5e6679316c6d8418f09a4a9821295e05f8361626458c69a7b163883
Homepage: https://cran.r-project.org/package=ztable
Description: CRAN Package 'ztable' (Zebra-Striped Tables in LaTeX and HTML Formats)
 Makes zebra-striped tables (tables with alternating row colors) in LaTeX and
 HTML formats easily from a data.frame, matrix, lm, aov, anova, glm, coxph,
 nls, fitdistr, mytable and cbind.mytable objects.

Package: r-cran-ztils
Architecture: all
Version: 1.0.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 86
Depends: r-base-core (>= 4.4.0), r-api-4.0, r-cran-ggplot2, r-cran-mass, r-cran-scico, r-cran-vegan
Suggests: r-cran-testthat
Filename: pool/dists/focal/main/r-cran-ztils_1.0.0-1.ca2004.1_all.deb
Size: 54848
MD5sum: 1b80ec36a463b72dd230d1a97a1aea45
SHA1: 60240d41de9ddc746bf1fedd240c03670104e48f
SHA256: d0ce215afc174358a505ed09697c9c81a6753ac61d917a1895239026837a6530
SHA512: 9af7a040b33229b3639fa932001a0ad38209afb32762383768e8a1135f16ff7030efeda519533a3d26fc105de029d1f94792bda5844481bf6f7865f03b2eaed5
Homepage: https://cran.r-project.org/package=ztils
Description: CRAN Package 'ztils' (Various Common Statistical Utilities)
 Utilities for simplifying common statistical operations including
 probability density functions, cumulative distribution functions,
 Kolmogorov-Smirnov tests, principal component analysis plots, and prediction
 plots.

Package: r-cran-ztree
Architecture: all
Version: 1.0.7-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 101
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-plyr
Filename: pool/dists/focal/main/r-cran-ztree_1.0.7-1.ca2004.1_all.deb
Size: 46880
MD5sum: 6b977949b22337846c8c9e15b8a76ad5
SHA1: 86ac121af835bbb8ec89a08df66208b1fc716de1
SHA256: d63196e64fb1e110170aa6111559ff3fd50be7ca10c3817a9ac0a19f74ec3c48
SHA512: b5a2db6df7c8c6220d9a0fb1118854d0931729be2bdb7a1320508bd2c4650f10502a9ec62b5989f1e77139383b4fac7352b86e6071c5d0fd4d17d3eec7b18245
Homepage: https://cran.r-project.org/package=zTree
Description: CRAN Package 'zTree' (Functions to Import Data from 'z-Tree' into R)
 Read '.xls' and '.sbj' files which are written by the Microsoft Windows
 program 'z-Tree'. The latter is a software for developing and carrying out
 economic experiments (see <http://www.ztree.uzh.ch/> for more information).

Package: r-cran-ztype
Architecture: all
Version: 0.1.0-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 49
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-magrittr, r-cran-rvest, r-cran-stringr, r-cran-dplyr, r-cran-ggplot2, r-cran-lubridate, r-cran-assertthat
Filename: pool/dists/focal/main/r-cran-ztype_0.1.0-1.ca2004.1_all.deb
Size: 19416
MD5sum: c784d1ed198a2e0d6e803f1bb50a2ea8
SHA1: 31d90d1e48791a3967bf46f3c327941a400a7ef5
SHA256: babcae0726eaf3ade143922302d28717c8b9c61713f2834667f1ab27a2533eb0
SHA512: 9756a77e221b73bd93bad1aacd1983e434859a0f144425d1a25ddbf0cc46c0e5606a626dd6a30b80fbeb8fac6bec6bbaafdbcb86aadcab81827874e51c10ddd1
Homepage: https://cran.r-project.org/package=ztype
Description: CRAN Package 'ztype' (Run a Ztype Game Loaded with R Functions)
 How fast can you type R functions on your keyboard? Find out by running a
 'zty.pe' game: export R functions as instructions to type to destroy
 opponents vessels.

Package: r-cran-zyp
Architecture: all
Version: 0.11-1-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 68
Depends: r-base-core (>= 4.2.2), r-api-4.0, r-cran-kendall
Filename: pool/dists/focal/main/r-cran-zyp_0.11-1-1.ca2004.1_all.deb
Size: 38532
MD5sum: 1c2a037e6a299f247e362f1003079b6b
SHA1: 1e9ec2e8b22fcec5675f10cc174a4105bf290e50
SHA256: 60d0eed959f23c0632583b478f36f116588b78ee0cc288ebdb5ed01cec886669
SHA512: 1cd703133bdc1703223bdf1e25a0ccd09748a6bc4552bab517dee3544f3d4e8609d35f08ce51ed1ef6bc4f30598ae3a6e3da1e49b73ce31176a0058de7989356
Homepage: https://cran.r-project.org/package=zyp
Description: CRAN Package 'zyp' (Zhang + Yue-Pilon Trends Package)
 An efficient implementation of the slope method described by Sen (1968)
 <doi:10.1080/01621459.1968.10480934> plus implementation of prewhitening
 approaches to determining trends in climate data described by Zhang,
 Vincent, Hogg, and Niitsoo (2000) <doi:10.1080/07055900.2000.9649654> and
 Yue, Pilon, Phinney, and Cavadias (2002) <doi:10.1002/hyp.1095>.

Package: r-cran-zzlite
Architecture: all
Version: 0.1.2-1.ca2004.1
Priority: optional
Section: gnu-r
Maintainer: Dirk Eddelbuettel <edd@debian.org>
Installed-Size: 115
Depends: r-base-core (>= 4.1.3), r-api-4.0, r-cran-httr, r-cran-jsonlite
Suggests: r-cran-httptest, r-cran-roxygen2, r-cran-testthat, r-cran-knitr, r-cran-rmarkdown
Filename: pool/dists/focal/main/r-cran-zzlite_0.1.2-1.ca2004.1_all.deb
Size: 48080
MD5sum: 9f6b8c3f5b5d8c5245e856e7758b8aa6
SHA1: 6615b329a2e674cb5d336d253f6a9167be549e70
SHA256: da005edbafc4ef7cd8077591574ecfd78e9815012d0c28af9b16ad64c2437304
SHA512: 8b5e945c608d55fcfe39f7100c39d710052f426a8b3a09870420bbb26348e059665a472524a9861f0713fa57843dbacb1df3ce211b67f5e6e98d890ef1851506
Homepage: https://cran.r-project.org/package=zzlite
Description: CRAN Package 'zzlite' (Lite Wrapper for the 'Zamzar File Conversion' API)
 A minor collection of HTTP wrappers for the 'Zamzar File Conversion' API.
 The wrappers makes it easy to utilize the API and thus convert between more
 than 100 different file formats (ranging from audio files, images, movie
 formats, etc., etc.) through an R session.  For specifics regarding the API,
 please see <https://developers.zamzar.com/>.